diff --git a/README.md b/README.md
index 205ea642..bf828d1a 100644
--- a/README.md
+++ b/README.md
@@ -151,5 +151,3 @@ Backenköhler M, Groß J, Wolf V, Volkamer A.
 - **Constructing Innovative Covalent and Noncovalent Compound Libraries: Insights from 3D Protein–Ligand Interactions** Xiaohe Xu, Weijie Han, Xiangzhen Ning, Chengdong Zang, Chengcheng Xu, Chen Zeng, Chengtao Pu, Yanmin Zhang, Yadong Chen, and Haichun Liu *Journal of Chemical Information and Modeling* **2024**[10.1021/acs.jcim.3c01689](https://pubs.acs.org/doi/10.1021/acs.jcim.3c01689)
 
 
-
-
diff --git a/data/filters/retrosynthesizability/README.md b/data/filters/retrosynthesizability/README.md
index 902a17f4..0c7e487c 100644
--- a/data/filters/retrosynthesizability/README.md
+++ b/data/filters/retrosynthesizability/README.md
@@ -1,3 +1,5 @@
 # retrosynthesizability data
 
-- `retro.txt`: File containing the results that were already assembled in previous queries for fragment pairs or those that will be queried in future searches. It contains \[pair SMILES\]; \[child(ren) 1 SMILES\]; \[child(ren) 2 SMILES\]; \[plausibility/ies\] for every requested fragment pair.
\ No newline at end of file
+- `retro.txt`: File containing the results that were already assembled in previous queries for fragment pairs or those that will be queried in future searches. It contains \[pair SMILES\]; \[child(ren) 1 SMILES\]; \[child(ren) 2 SMILES\]; \[plausibility/ies\] for every requested fragment pair.
+
+**Note:** The ASKCOS results for the given KinFragLib data are already precomputed, thus for that ASKCOS does not need to be installed to successfully run this notebook. However, if the notebook is executed on new data, the ASKCOS needs to be installed beforehand. To install ASKCOS, please follow the installation given at [https://askcos-docs.mit.edu/](https://askcos-docs.mit.edu/guide/1-Introduction/1.1-Introduction.html). 
\ No newline at end of file
diff --git a/data/filters/retrosynthesizability/retro.txt b/data/filters/retrosynthesizability/retro.txt
index 9e3c430a..2caa2d49 100644
--- a/data/filters/retrosynthesizability/retro.txt
+++ b/data/filters/retrosynthesizability/retro.txt
@@ -1,47012 +1,1318 @@
-CCOc1ccc(Nc2cc(C)n[nH]2)cc1; ['CCOc1ccc(Br)cc1']; ['Cc1cc(N)[nH]n1']; [0.911036551]
-Cc1cc(Nc2ccc(C#N)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2c[nH]nc2C)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(S(C)(=O)=O)c2)[nH]n1; [None]; [None]; [0]
-COc1ncccc1Nc1cc(C)n[nH]1; ['COc1ncccc1Br', 'COc1ncccc1N']; ['Cc1cc(N)[nH]n1', 'Cc1cc(Cl)[nH]n1']; [0.99913764, 0.99913764]
-COc1cc(Nc2cc(C)n[nH]2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC']; ['Cc1cc(N)[nH]n1', 'Cc1cc(Cl)[nH]n1']; [0.978799939, 0.978799939]
-Cc1cc(Nc2cnnn2C)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cnn(C)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cnc3cccnn23)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cn(C)nc2C)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(O)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(N)=O)cc2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['NC(=O)c1ccc(Br)cc1']; [0.871426165]
-COc1ccc(Nc2cc(C)n[nH]2)cc1; ['COc1ccc(B(O)O)cc1']; ['Cc1cc(N)[nH]n1']; [0.99543047]
-Cc1cc(Nc2nc3ccccc3[nH]2)[nH]n1; [None]; [None]; [0]
-Cc1cc(NNc2ncccn2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(F)c2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['OB(O)c1cccc(F)c1']; [0.995097697]
-Cc1cc(NCc2nccc3ccccc23)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(=O)Nc3ccccc3)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(Cl)cc2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['Clc1ccc(Br)cc1']; [0.762565255]
-Cc1cc(Nc2ccc(OCCO)cc2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['OCCOc1ccc(Br)cc1']; [0.94937259]
-Cc1cc(NCCCO)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['NCCCO']; [0.950495899]
-Cc1cc(Nc2cccc(C3CCNCC3)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(OC[C@H](C)O)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C)n(C)n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N(C)C)cc2)[nH]n1; ['CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(N)cc1']; ['Cc1cc(N)[nH]n1', 'Cc1cc(Cl)[nH]n1']; [0.995728076, 0.995728076]
-Cc1cc(Nc2ccc(C(F)(F)F)cc2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['FC(F)(F)c1ccc(Br)cc1']; [0.874299228]
-CNS(=O)(=O)c1ccc(Nc2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2cnc(Cl)nc2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['Nc1cnc(Cl)nc1']; [0.9822703]
-COc1ccc(Cl)cc1Nc1cc(C)n[nH]1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1N']; ['Cc1cc(N)[nH]n1', 'Cc1cc(Cl)[nH]n1']; [0.999079823, 0.999079823]
-Cc1cc(Nc2cncnc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cn[nH]c2)[nH]n1; ['Brc1cn[nH]c1']; ['Cc1cc(N)[nH]n1']; [0.992224336]
-Cc1cc(Nc2sc(C)nc2C)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc3c(c2)CCO3)[nH]n1; ['Brc1ccc2c(c1)CCO2']; ['Cc1cc(N)[nH]n1']; [0.949430645]
-Cc1cc(Nc2ccc(Br)cc2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['OB(O)c1ccc(Br)cc1']; [0.990529358]
-Cc1cc(Nc2ccc[nH]2)[nH]n1; [None]; [None]; [0]
-COc1cc(Nc2cc(C)n[nH]2)ccc1O; [None]; [None]; [0]
-CC(=O)Nc1cccc(Nc2cc(C)n[nH]2)c1; [None]; [None]; [0]
-Cc1cc(Nc2c[nH]c3ccccc23)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(F)c(F)c2)[nH]n1; ['Cc1cc(N)[nH]n1', 'Cc1cc(N)[nH]n1']; ['Fc1ccc(Br)cc1F', 'Fc1ccc(F)c(F)c1']; [0.973130763, 0.973130763]
-Cc1cc(Nc2scc3c2OCCO3)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cc3ccccc3cn2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['Clc1cc2ccccc2cn1']; [0.824381948]
-Cc1cc(Nc2cccc3c2OCO3)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cnc3ccccc3c2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['Nc1cnc2ccccc2c1']; [0.913424373]
-Cc1cc(Nc2ccco2)[nH]n1; [None]; [None]; [0]
-CSc1cccc(Nc2cc(C)n[nH]2)c1; ['CSc1cccc(B(O)O)c1']; ['Cc1cc(N)[nH]n1']; [0.997590184]
-Cc1cc(Nc2ccc(C(C)(C)C)cc2)[nH]n1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Cc1cc(N)[nH]n1']; [0.997630954]
-Cc1cc(N[C@@H]2CC[C@@H](O)CC2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['N[C@H]1CC[C@H](O)CC1']; [0.98921293]
-Cc1cc(Nc2cc(C)nc(N)n2)[nH]n1; ['Cc1cc(Cl)nc(N)n1']; ['Cc1cc(N)[nH]n1']; [0.950729]
-Cc1cc(Nc2ccc(F)cc2Cl)[nH]n1; ['Cc1cc(N)[nH]n1']; ['OB(O)c1ccc(F)cc1Cl']; [0.999927521]
-Cc1cc(N[C@H]2CC[C@@H](O)C2)[nH]n1; [None]; [None]; [0]
-COc1ccc(Nc2cc(C)n[nH]2)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(N)cc1OC']; ['Cc1cc(N)[nH]n1', 'Cc1cc(Cl)[nH]n1']; [0.999312401, 0.999312401]
-CCc1ccc(Nc2cc(C)n[nH]2)cc1; ['CCc1ccc(Br)cc1']; ['Cc1cc(N)[nH]n1']; [0.791726112]
-CC[C@@H](CO)Nc1cc(C)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cn(C)nc2C(F)(F)F)[nH]n1; ['Cc1cc(N)[nH]n1']; ['Cn1cc(Br)c(C(F)(F)F)n1']; [0.999954224]
-Cc1cc(Nc2ncc(Br)cn2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['Clc1ncc(Br)cn1']; [0.976328433]
-Cc1cc(Nc2ccsc2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['OB(O)c1ccsc1']; [0.999559]
-Cc1cc(Nc2ccc(Cl)cc2Cl)[nH]n1; ['Cc1cc(N)[nH]n1', 'Cc1cc(Cl)[nH]n1']; ['OB(O)c1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl']; [0.999188364, 0.999188364]
-Cc1cc(C)cc(Nc2cc(C)n[nH]2)c1; ['Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc(F)c1', 'Cc1cc(C)cc(N)c1']; ['Cc1cc(N)[nH]n1', 'Cc1cc(N)[nH]n1', 'Cc1cc(Cl)[nH]n1']; [0.96810931, 0.96810931, 0.96810931]
-COc1ccc2cccc(Nc3cc(C)n[nH]3)c2c1; [None]; [None]; [0]
-Cc1cc(Nc2cccc3ccc(O)cc23)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['Nc1cccc2ccc(O)cc12']; [0.857309699]
-COc1cc(Nc2cc(C)n[nH]2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['Cc1cc(N)[nH]n1']; [0.999762595]
-COc1cc(Nc2cc(C)n[nH]2)cc(OC)c1; [None]; [None]; [0]
-COc1cc(F)c(Nc2cc(C)n[nH]2)cc1OC; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C)o2)[nH]n1; [None]; [None]; [0]
-COc1cc(Nc2cc(C)n[nH]2)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['Cc1cc(N)[nH]n1']; [0.981780112]
-Cc1cc(Nc2ccc3cn[nH]c3c2)[nH]n1; ['Cc1cc(N)[nH]n1', 'Brc1ccc2cn[nH]c2c1']; ['OB(O)c1ccc2cn[nH]c2c1', 'Cc1cc(N)[nH]n1']; [0.999955893, 0.999955893]
-CNC(=O)c1ccc(Nc2cc(C)n[nH]2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['Cc1cc(N)[nH]n1']; [0.998927534]
-Cc1cc(Nc2ccc(OC(F)(F)F)cc2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['FC(F)(F)Oc1ccc(I)cc1']; [0.994411886]
-Cc1cc(Nc2ccc(C)c(C)n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cc3ccccc3o2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cscn2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['Clc1cscn1']; [0.951362252]
-CCc1cccc(Nc2cc(C)n[nH]2)n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(CCO)cc2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['Nc1ccc(CCO)cc1']; [0.894135237]
-Cc1cc(Nc2cccc(N3CCCC3=O)c2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.96338594]
-N#Cc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['N#Cc1ccc(B(O)O)cc1']; [0.999996066]
-COc1cc(N2CCNCC2)ccc1Nc1cc(C)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cc(S(C)(=O)=O)ccc2Cl)[nH]n1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Cc1cc(N)[nH]n1']; [0.999783099]
-COc1ncccc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['COc1ncccc1B(O)O']; [0.999732554]
-CCOc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1']; [0.999999881, 0.999999881]
-CS(=O)(=O)c1cccc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12']; ['CS(=O)(=O)c1cccc(B(O)O)c1']; [0.999998212]
-COc1cc(-c2cnn3cccnc23)cc(OC)c1OC; ['Brc1cnn2cccnc12']; ['COc1cc(B(O)O)cc(OC)c1OC']; [0.999996901]
-Cc1n[nH]cc1-c1cnn2cccnc12; [None]; [None]; [0]
-Cn1cc(-c2cnn3cccnc23)cn1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [0.999999762, 0.999999762]
-Oc1cccc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12']; ['OB(O)c1cccc(O)c1']; [0.999985933]
-c1cnn2c(-c3cnn4cccnc34)cnc2c1; ['Brc1cnn2cccnc12']; ['c1cnn2ccnc2c1']; [0.999837518]
-c1ccc2[nH]c(-c3cnn4cccnc34)nc2c1; [None]; [None]; [0]
-Cn1nncc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['Cn1ccnn1']; [0.999487519]
-Cc1nn(C)cc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; [0.999999881]
-Cc1cc(Nc2cnn3cccnc23)sn1; [None]; [None]; [0]
-COc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['COc1ccc(B(O)O)cc1']; [0.999995112]
-O=C(Nc1ccccc1)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999979734]
-NC(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999991775]
-c1cnc(Nc2cnn3cccnc23)nc1; [None]; [None]; [0]
-Fc1cccc(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-c1ccc2c(Cc3cnn4cccnc34)nccc2c1; [None]; [None]; [0]
-O=C(Nc1cnn2cccnc12)C1CC1; [None]; [None]; [0]
-Clc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'COC(CC(OC)OC)OC']; ['OB(O)c1ccc(Cl)cc1', 'Nc1[nH]ncc1-c1ccc(Cl)cc1']; [0.999995828, 0.999995828]
-c1cnc2c(Nc3ccncn3)cnn2c1; ['Brc1cnn2cccnc12']; ['Nc1ccncn1']; [0.99736917]
-OCCOc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['OCCOc1ccc(Br)cc1']; [0.999502897]
-Cc1cc(-c2cnn3cccnc23)nn1C; [None]; [None]; [0]
-c1cc(-c2cnn3cccnc23)cc(C2CCNCC2)c1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.999999523]
-CNS(=O)(=O)c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(Br)cc1']; [1.0, 1.0]
-Cc1nc(C)c(-c2cnn3cccnc23)s1; [None]; [None]; [0]
-Oc1ccccc1Cc1cnn2cccnc12; [None]; [None]; [0]
-c1cnc2c(Cc3ccncc3)cnn2c1; [None]; [None]; [0]
-c1cncc(Cc2cnn3cccnc23)c1; [None]; [None]; [0]
-OC[C@@H](O)Cc1cnn2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3cncnc3)cnn2c1; ['Brc1cnn2cccnc12']; ['OB(O)c1cncnc1']; [0.999953032]
-Clc1ncc(-c2cnn3cccnc23)cn1; ['Brc1cnn2cccnc12']; ['OB(O)c1cnc(Cl)nc1']; [0.999989152]
-Brc1ccc(-c2cnn3cccnc23)cc1; ['COC(CC(OC)OC)OC']; ['Nc1[nH]ncc1-c1ccc(Br)cc1']; [0.999982476]
-c1cnc2c(-n3ccnc3)cnn2c1; ['Brc1cnn2cccnc12']; ['c1c[nH]cn1']; [0.999708712]
-COc1ccc(Cl)cc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['COc1ccc(Cl)cc1B(O)O']; [0.999970317]
-COc1ccc(Cc2cnn3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(-c3cn[nH]c3)cnn2c1; ['Brc1cnn2cccnc12']; ['OB(O)c1cn[nH]c1']; [0.999980807]
-c1cnc2c(-c3ccc4c(c3)CCO4)cnn2c1; ['Brc1cnn2cccnc12']; ['OB(O)c1ccc2c(c1)CCO2']; [0.999999881]
-c1c[nH]c(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-c1ccc2c(-c3cnn4cccnc34)c[nH]c2c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; [0.999999762, 0.999999762]
-c1cnc2c(Cn3ccnc3)cnn2c1; [None]; [None]; [0]
-COc1cc(-c2cnn3cccnc23)ccc1O; ['Brc1cnn2cccnc12']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; [0.999999285]
-c1ccc2cc(-c3cnn4cccnc34)ncc2c1; [None]; [None]; [0]
-Fc1ccc(-c2cnn3cccnc23)cc1F; [None]; [None]; [0]
-c1cnc2c(-c3scc4c3OCCO4)cnn2c1; [None]; [None]; [0]
-c1cc2c(c(-c3cnn4cccnc34)c1)OCO2; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['CC(C)(C)c1ccc(B(O)O)cc1']; [0.999998569]
-c1ccc2ncc(-c3cnn4cccnc34)cc2c1; ['Brc1cnn2cccnc12']; ['OB(O)c1cnc2ccccc2c1']; [0.999989033]
-COCCOc1cnn2cccnc12; [None]; [None]; [0]
-CC1(COc2cnn3cccnc23)COC1; [None]; [None]; [0]
-CSc1cccc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12']; ['CSc1cccc(B(O)O)c1']; [0.999901414]
-Cc1cc(-c2cnn3cccnc23)nc(N)n1; [None]; [None]; [0]
-c1coc(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-Fc1ccc(-c2cnn3cccnc23)c(Cl)c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cnn2cccnc12; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cnn3cccnc23)CC1; [None]; [None]; [0]
-COc1ccc(-c2cnn3cccnc23)cc1OC; ['Brc1cnn2cccnc12']; ['COc1ccc(B(O)O)cc1OC']; [0.99999547]
-Brc1cnc(-c2cnn3cccnc23)nc1; ['Brc1cncnc1']; ['Brc1cnn2cccnc12']; [0.812735081]
-O[C@@H]1CC[C@H](c2cnn3cccnc23)C1; [None]; [None]; [0]
-COc1ccc(CNc2cnn3cccnc23)cc1; [None]; [None]; [0]
-Clc1ccc(-c2cnn3cccnc23)c(Cl)c1; ['Brc1cnn2cccnc12']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.999994397]
-CCc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['CCc1ccc(B(O)O)cc1']; [0.99997282]
-Cc1cc(C)cc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12']; ['Cc1cc(C)cc(B(O)O)c1']; [0.999995947]
-c1cnc2c(-c3ccsc3)cnn2c1; ['Brc1cnn2cccnc12']; ['OB(O)c1ccsc1']; [0.999991179]
-Cn1cc(-c2cnn3cccnc23)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(F)c(-c2cnn3cccnc23)cc1OC; [None]; [None]; [0]
-COc1ccc2cccc(-c3cnn4cccnc34)c2c1; [None]; [None]; [0]
-Cc1cc(Nc2cnn3cccnc23)nn1C; ['Brc1cnn2cccnc12']; ['Cc1cc(N)nn1C']; [0.999830723]
-Oc1ccc2cccc(-c3cnn4cccnc34)c2c1; [None]; [None]; [0]
-COc1cc(-c2cnn3cccnc23)ccc1Cl; ['Brc1cnn2cccnc12']; ['COc1cc(B(O)O)ccc1Cl']; [0.999999166]
-COc1cc(OC)cc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12']; ['COc1cc(OC)cc(B(O)O)c1']; [0.999998093]
-Cc1nc(Nc2cnn3cccnc23)sc1C; [None]; [None]; [0]
-Cc1ccc(-c2cnn3cccnc23)o1; [None]; [None]; [0]
-c1cnc2c(-c3ccc4cn[nH]c4c3)cnn2c1; ['Brc1cnn2cccnc12']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999998689]
-CCn1cc(-c2cnn3cccnc23)cn1; ['Brc1cnn2cccnc12']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999999762]
-COc1cc(-c2cnn3cccnc23)c(OC)cc1Br; [None]; [None]; [0]
-c1ccc2oc(-c3cnn4cccnc34)cc2c1; [None]; [None]; [0]
-COC(=O)Nc1cnn2cccnc12; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; [1.0, 1.0]
-CC(C)Oc1cnn2cccnc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [1.0]
-CCc1cccc(-c2cnn3cccnc23)n1; [None]; [None]; [0]
-OCCc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['OCCc1ccc(Br)cc1']; [0.988333404]
-Cc1ccc(-c2cnn3cccnc23)nc1C; [None]; [None]; [0]
-c1cnc2c(-c3cscn3)cnn2c1; [None]; [None]; [0]
-c1ccc(Nc2cnn3cccnc23)nc1; ['Brc1cnn2cccnc12']; ['Nc1ccccn1']; [0.991860211]
-COc1cc(N2CCNCC2)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-Fc1ccc(Nc2cnn3cccnc23)nc1; ['Brc1cnn2cccnc12']; ['Nc1ccc(F)cn1']; [0.999346912]
-c1cnc2c(-c3ccncc3)cnn2c1; ['Brc1cnn2cccnc12']; ['OB(O)c1ccncc1']; [0.999994397]
-Oc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['OB(O)c1ccc(O)cc1']; [0.999992728]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-c1ccc2c(-c3cnn4cccnc34)n[nH]c2c1; [None]; [None]; [0]
-c1cc(-c2cnn3cccnc23)c2cccnc2c1; ['Brc1cnn2cccnc12']; ['OB(O)c1cccc2ncccc12']; [0.999984145]
-Oc1cc(-c2cnn3cccnc23)ccc1Cl; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['OB(O)c1c(F)cccc1F']; [0.99996078]
-Clc1cccc(Cl)c1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999952435]
-Cc1ncc(-c2cnn3cccnc23)[nH]1; ['Brc1cnn2cccnc12']; ['Cc1ncc[nH]1']; [0.878040731]
-Fc1ccc(Oc2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['Oc1ccc(F)cc1']; [0.999930739]
-Clc1ccccc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['OB(O)c1ccccc1Cl']; [0.999972463]
-Oc1ccc(-c2cnn3cccnc23)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2cnn3cccnc23)n1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cnn3cccnc23)C1; [None]; [None]; [0]
-c1cnc2c(-c3cnccn3)cnn2c1; ['Brc1cnn2cccnc12']; ['c1cnccn1']; [0.998145819]
-c1cnc2c(-c3cc[nH]c3)cnn2c1; [None]; [None]; [0]
-N#Cc1cnc(-c2cnn3cccnc23)cn1; [None]; [None]; [0]
-c1cnc2c(-c3ccoc3)cnn2c1; ['Brc1cnn2cccnc12']; ['OB(O)c1ccoc1']; [0.999993324]
-COC(=O)c1ccc(-c2cnn3cccnc23)o1; [None]; [None]; [0]
-COc1cc(CCc2cnn3cccnc23)ccc1O; [None]; [None]; [0]
-Brc1cccc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12']; ['OB(O)c1cccc(Br)c1']; [0.999911547]
-N#Cc1ccc(-c2cnn3cccnc23)cn1; ['Brc1cnn2cccnc12']; ['N#Cc1ccc(B(O)O)cn1']; [0.999999285]
-Clc1cccc(OCc2cnn3cccnc23)c1; [None]; [None]; [0]
-OCCCc1cnn2cccnc12; [None]; [None]; [0]
-c1csc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12']; ['c1ccsc1']; [0.999876261]
-Oc1ccc(-c2cnn3cccnc23)c(O)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-c1cnc2c(-c3ccncn3)cnn2c1; [None]; [None]; [0]
-Clc1ccccc1OCc1cnn2cccnc12; [None]; [None]; [0]
-Fc1ccc(-c2cnn3cccnc23)cc1Cl; ['Brc1cnn2cccnc12']; ['OB(O)c1ccc(F)c(Cl)c1']; [0.999999881]
-Cc1ccc(-c2cnn3cccnc23)cc1C; ['Brc1cnn2cccnc12']; ['Cc1ccc(B(O)O)cc1C']; [0.999999404]
-Cc1ccc(O)cc1-c1cnn2cccnc12; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cnn2cccnc12; [None]; [None]; [0]
-Oc1ncc(-c2cnn3cccnc23)cc1Cl; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnn2cccnc12; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnn4cccnc34)cc2[nH]1; [None]; [None]; [0]
-O=c1ccccn1Cc1cnn2cccnc12; [None]; [None]; [0]
-c1ccc2sc(-c3cnn4cccnc34)nc2c1; ['Nc1ccccc1S']; ['O=C(O)c1cnn2cccnc12']; [0.999980807]
-CS(=O)(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C']; [1.0]
-O=C1Cc2cc(-c3cnn4cccnc34)ccc2N1; ['Brc1cnn2cccnc12']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; [0.999998569]
-Oc1cncc(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cnn3cccnc23)CC1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['Cc1cc(O)ccc1B(O)O']; [0.999960423]
-CCc1cc(O)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnn2cccnc12; [None]; [None]; [0]
-CCc1sccc1-c1cnn2cccnc12; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2cnn3cccnc23)cc1Cl; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['Cc1cccc(C)c1B(O)O']; [0.999998212]
-Nc1cc(-c2cnn3cccnc23)[nH]n1; ['Brc1cnn2cccnc12']; ['Nc1cc(Br)[nH]n1']; [0.989670098]
-c1cnc2c(-c3nccs3)cnn2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc4c(c3)CCN4)cnn2c1; [None]; [None]; [0]
-c1cnc2c(Nc3ccncc3)cnn2c1; ['Brc1cnn2cccnc12']; ['Nc1ccncc1']; [0.999818385]
-O=c1[nH]c2ccc(-c3cnn4cccnc34)cc2[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnn2cccnc12; [None]; [None]; [0]
-Cc1ccc(-c2cnn3cccnc23)c(C)n1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['OB(O)c1ccc(Br)cc1F']; [0.999949932]
-Cc1csc(-c2cnn3cccnc23)n1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnn4cccnc34)cc2o1; [None]; [None]; [0]
-c1cnc2c(-c3cnco3)cnn2c1; [None]; [None]; [0]
-Oc1c(F)cc(-c2cnn3cccnc23)cc1F; [None]; [None]; [0]
-c1ccc(COc2cnn3cccnc23)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2cnn3cccnc23)c(F)c1; ['Brc1cnn2cccnc12']; ['Oc1ccc(F)cc1F']; [0.999923]
-O=c1[nH][nH]c2cc(-c3cnn4cccnc34)ccc12; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1cnn2cccnc12; [None]; [None]; [0]
-Fc1ccc(Cc2cnn3cccnc23)cc1; [None]; [None]; [0]
-Fc1ccccc1Oc1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['Oc1ccccc1F']; [0.998490691]
-O[C@H]1C[C@@H](c2cn[nH]c2)C1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cn[nH]c1; ['CNC(=O)c1ccccc1Br']; ['OB(O)c1cn[nH]c1']; [0.999836922]
-CCOc1ccccc1-c1cn[nH]c1; ['CCOc1ccccc1B(O)O', 'Brc1cn[nH]c1']; ['Ic1cn[nH]c1', 'CCOc1ccccc1B(O)O']; [0.999952316, 0.999952316]
-Fc1cc(F)cc(Cc2cn[nH]c2)c1; [None]; [None]; [0]
-c1cc(-c2cn[nH]c2)n[nH]1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cn[nH]c2)c1; []; []; []
-c1ccc2c(-c3cn[nH]c3)ccnc2c1; [None]; [None]; [0]
-Clc1ccccc1-c1cn[nH]c1; ['Brc1cn[nH]c1']; ['OB(O)c1ccccc1Cl']; [0.99930346]
-Fc1ccccc1-c1cn[nH]c1; [None]; [None]; [0]
-c1cncc(-c2cn[nH]c2)c1; ['Brc1cn[nH]c1']; ['OB(O)c1cccnc1']; [0.999641418]
-FC(F)(F)Oc1ccccc1-c1cn[nH]c1; ['FC(F)(F)Oc1ccccc1Br', 'Brc1cn[nH]c1']; ['OB(O)c1cn[nH]c1', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999930859, 0.999930859]
-Brc1ccccc1-c1cn[nH]c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cn[nH]c1; ['Ic1cn[nH]c1', 'Brc1cn[nH]c1', 'Brc1cn[nH]c1']; ['N#Cc1ccccc1B(O)O', 'CC1(C)COB(c2ccccc2C#N)OC1', 'N#Cc1ccccc1B(O)O']; [0.998010933, 0.998010933, 0.998010933]
-Fc1cccc(F)c1-c1cn[nH]c1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cn[nH]c1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cn[nH]c3)cn2)cc1; ['Brc1cnn(Cc2ccccc2)c1', 'Brc1cn[nH]c1']; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; [0.999939322, 0.999939322]
-c1cc(-c2cn[nH]c2)ncn1; []; []; []
-N[C@H](c1cn[nH]c1)c1ccco1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cn[nH]c3)[nH]2)cc1; [None]; [None]; [0]
-OCCn1cc(-c2cn[nH]c2)cn1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'Brc1cn[nH]c1']; ['OCCn1cc(Br)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; [0.999502301, 0.999502301]
-O=C(Nc1cccc(-c2cn[nH]c2)c1)c1ccccc1; [None]; [None]; [0]
-c1cc2c(cc1-c1cn[nH]c1)CCC2; [None]; [None]; [0]
-c1ccn2c(-c3cn[nH]c3)cnc2c1; ['Brc1cnc2ccccn12', 'Clc1cnc2ccccn12']; ['OB(O)c1cn[nH]c1', 'OB(O)c1cn[nH]c1']; [0.99998045, 0.99998045]
-c1ncc(-c2cn[nH]c2)o1; [None]; [None]; [0]
-Cc1ccc(-c2cn[nH]c2)c(Br)c1; [None]; [None]; [0]
-c1cnn2c(-c3cn[nH]c3)cnc2c1; ['Brc1cnc2cccnn12', 'Brc1cn[nH]c1']; ['OB(O)c1cn[nH]c1', 'c1cnn2ccnc2c1']; [0.999999046, 0.999999046]
-Cc1nc(N)sc1-c1cn[nH]c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cn[nH]c2)s1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'Brc1cn[nH]c1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(Br)s1', 'Cc1csc(C)n1', 'Ic1cn[nH]c1']; [0.999986887, 0.999986887, 0.999986887]
-CC(C)(C)Nc1cn[nH]c1; ['Brc1cn[nH]c1']; ['CC(C)(C)N']; [0.887636602]
-c1n[nH]cc1OC1CCCCC1; [None]; [None]; [0]
-c1cncc(CNc2cn[nH]c2)c1; ['Brc1cn[nH]c1', 'Ic1cn[nH]c1']; ['NCc1cccnc1', 'NCc1cccnc1']; [0.956308842, 0.956308842]
-Clc1cccc(Cl)c1-c1cn[nH]c1; ['Ic1cn[nH]c1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.996931195]
-Clc1cccc(-c2cn[nH]c2)c1Cl; ['Brc1cn[nH]c1']; ['OB(O)c1cccc(Cl)c1Cl']; [0.999120057]
-COc1cccc(-c2cn[nH]c2)c1; []; []; []
-Cc1ccc(Cl)c(-c2cn[nH]c2)c1; ['Brc1cn[nH]c1']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.999381185]
-Nc1nccc(-c2cn[nH]c2)n1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C']; ['Nc1nccc(Cl)n1']; [0.999998569]
-Clc1ccc(-c2cn[nH]c2)s1; ['Clc1ccc(Br)s1']; ['OB(O)c1cn[nH]c1']; [0.99993062]
-Cc1ncc(-c2cn[nH]c2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1cn[nH]c1']; [0.986528158]
-c1cncc(Nc2cn[nH]c2)c1; ['Brc1cn[nH]c1']; ['Nc1cccnc1']; [0.994064391]
-c1ccc2c(c1)ncn2-c1cn[nH]c1; ['Brc1cn[nH]c1']; ['c1ccc2[nH]cnc2c1']; [0.968874693]
-c1ccc2cc(-c3cn[nH]c3)ccc2c1; ['Brc1cn[nH]c1', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1cn[nH]c1']; [0.999976039, 0.999976039]
-CC(C)COc1cn[nH]c1; [None]; [None]; [0]
-c1ccc2c(-c3cn[nH]c3)cncc2c1; ['Brc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Brc1cn[nH]c1', 'Brc1cn[nH]c1']; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'OB(O)c1cn[nH]c1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1cncc2ccccc12']; [0.999996662, 0.999996662, 0.999996662, 0.999996662]
-C[C@@H](O)[C@@H](C)Oc1cn[nH]c1; [None]; [None]; [0]
-C[C@H](CO)Nc1cn[nH]c1; [None]; [None]; [0]
-Cn1cncc1-c1cn[nH]c1; ['Cn1cncc1Br']; ['OB(O)c1cn[nH]c1']; [0.999885321]
-OCc1cccc(-c2cn[nH]c2)c1; ['OB(O)c1cn[nH]c1', 'Brc1cn[nH]c1']; ['OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1']; [0.999298573, 0.999298573]
-O=C(Nc1cn[nH]c1)c1cccs1; ['Nc1cn[nH]c1']; ['O=C(Cl)c1cccs1']; [0.999637961]
-Oc1cccc(-c2cn[nH]c2)c1; ['OB(O)c1cn[nH]c1', 'Brc1cn[nH]c1']; ['Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1']; [0.999651551, 0.999651551]
-c1csc(-c2cn[nH]c2)c1; ['Brc1cn[nH]c1']; ['OB(O)c1cccs1']; [0.999936223]
-CC(C)Nc1cn[nH]c1; ['Brc1cn[nH]c1']; ['CC(C)N']; [0.977683]
-c1cc(Nc2cn[nH]c2)ccn1; ['Brc1cn[nH]c1']; ['Nc1ccncc1']; [0.990158498]
-Cn1cc(-c2cn[nH]c2)cn1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'Brc1cn[nH]c1']; ['Cn1cc(Br)cn1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999849319, 0.999849319]
-c1coc(-c2cn[nH]c2)c1; [None]; [None]; [0]
-Fc1ccc(-c2cn[nH]c2)c(C(F)(F)F)c1; ['Ic1cn[nH]c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.99997139]
-N#CCCc1cccc(-c2cn[nH]c2)c1; ['Brc1cccc(-c2cn[nH]c2)c1']; ['C=CC#N']; [0.94998318]
-CCC(=O)Nc1ccc(-c2cn[nH]c2)cc1; [None]; [None]; [0]
-CCC(=O)Nc1cn[nH]c1; ['CCC(=O)O']; ['Nc1cn[nH]c1']; [0.988011599]
-COc1ccc(-c2cn[nH]c2)cc1Cl; ['Brc1cn[nH]c1']; ['COc1ccc(B(O)O)cc1Cl']; [0.999975085]
-CCCn1cc(-c2cn[nH]c2)cn1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'Brc1cn[nH]c1']; ['CCCn1cc(Br)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999991536, 0.999991536]
-c1n[nH]cc1-c1cnoc1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cn[nH]c2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['OB(O)c1cn[nH]c1']; [0.999390483]
-CC(=O)Nc1cccc(-c2cn[nH]c2)c1; [None]; [None]; [0]
-CCOC(=O)Cc1cn[nH]c1; [None]; [None]; [0]
-Cc1cc(-c2cn[nH]c2)no1; [None]; [None]; [0]
-CCN(CC)c1cn[nH]c1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cn[nH]c3)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1cn[nH]c1']; [0.999388814]
-O=c1[nH]ccc2oc(-c3cn[nH]c3)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cn[nH]c2)cc1; ['CS(=O)c1ccc(Br)cc1', 'Brc1cn[nH]c1']; ['OB(O)c1cn[nH]c1', 'CS(=O)c1ccc(B(O)O)cc1']; [0.999729455, 0.999729455]
-COc1ccncc1Nc1cn[nH]c1; ['COc1ccncc1Cl', 'COc1ccncc1I', 'COc1ccncc1N', 'COc1ccncc1N']; ['Nc1cn[nH]c1', 'Nc1cn[nH]c1', 'Clc1cn[nH]c1', 'Ic1cn[nH]c1']; [0.999987602, 0.999987602, 0.999987602, 0.999987602]
-c1ccc2ncc(Nc3cn[nH]c3)cc2c1; ['Brc1cn[nH]c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cn[nH]c1']; [0.997819066, 0.997819066]
-c1ccc2c(-c3cn[nH]c3)c[nH]c2c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cn[nH]c1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cn[nH]c2)C1; [None]; [None]; [0]
-c1cc2c(-c3cn[nH]c3)c[nH]c2cn1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cn[nH]c2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cn[nH]c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cn[nH]c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1cn[nH]c1']; [0.999491096]
-N#C[C@@H]1CC[C@@H](c2cn[nH]c2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cn[nH]c2)cc1; ['Brc1cn[nH]c1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cn[nH]c1']; [0.999645948, 0.999645948]
-c1ccc2c(c1)cnn2-c1cn[nH]c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cn[nH]c2)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cn[nH]c1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cn[nH]c3)[nH]c2c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cn[nH]c1; [None]; [None]; [0]
-Oc1ncccc1-c1cn[nH]c1; ['OB(O)c1cn[nH]c1']; ['Oc1ncccc1Br']; [0.999744]
-c1cc(Cc2cn[nH]c2)ccn1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cn[nH]c2)cc1; ['Brc1cn[nH]c1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1cn[nH]c1']; [0.999875546, 0.999875546]
-COc1ccc(-c2cn[nH]c2)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'Brc1cn[nH]c1']; ['OB(O)c1cn[nH]c1', 'COc1ccc(B(O)O)c(OC)c1']; [0.999884844, 0.999884844]
-c1cn(-c2cn[nH]c2)cn1; ['Brc1cn[nH]c1']; ['c1c[nH]cn1']; [0.991369069]
-Nc1ncc(-c2cn[nH]c2)s1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'Brc1cn[nH]c1']; ['Nc1ncc(Br)s1', 'Nc1nccs1']; [0.999950886, 0.999950886]
-c1n[nH]cc1OC1CCOCC1; [None]; [None]; [0]
-Nc1nnc(-c2cn[nH]c2)s1; ['NNC(N)=S']; ['O=C(O)c1cn[nH]c1']; [0.999998093]
-Cc1cncc(-c2cn[nH]c2)n1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'Cc1cncc(Br)n1', 'Cc1cncc(Cl)n1']; ['Cc1cncc(Br)n1', 'OB(O)c1cn[nH]c1', 'OB(O)c1cn[nH]c1']; [0.999993563, 0.999993563, 0.999993563]
-c1ccc2sc(-c3cn[nH]c3)nc2c1; ['Brc1nc2ccccc2s1']; ['OB(O)c1cn[nH]c1']; [0.999715745]
-COc1cccc(F)c1-c1cn[nH]c1; ['Brc1cn[nH]c1']; ['COc1cccc(F)c1B(O)O']; [0.999637842]
-Nc1nc(-c2cn[nH]c2)nc2ccccc12; ['Brc1cn[nH]c1']; ['Nc1ncnc2ccccc12']; [0.939402521]
-c1cc(-c2cn[nH]c2)c2sccc2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cn[nH]c1; ['COc1ccc(C#N)cc1Br']; ['OB(O)c1cn[nH]c1']; [0.999982119]
-CC(C)(C)CNc1cn[nH]c1; ['CC(C)(C)CN']; ['Ic1cn[nH]c1']; [0.96832788]
-c1cnc2c(-c3cn[nH]c3)c[nH]c2c1; [None]; [None]; [0]
-c1cncc(Cc2cn[nH]c2)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cn[nH]c2)CC1; [None]; [None]; [0]
-CC(C)(C)Oc1cn[nH]c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cn[nH]c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(c4cn[nH]c4)CC3)nc2c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cn[nH]c2)c1; ['Brc1cn[nH]c1']; ['COc1ccc(OC)c(B(O)O)c1']; [0.999686718]
-CCOc1ccccc1-c1cnc(N)c(O)c1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999928117, 0.999928117]
-Nc1ncc(-c2ccnc3ccccc23)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccnc2ccccc12']; [0.917023897]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cn[nH]c2)C1; [None]; [None]; [0]
-Nc1ncc(-c2cc[nH]n2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cccnc2)cc1O; ['CC1(C)OB(c2cccnc2)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.999500155]
-Nc1ncc(-c2ccccc2F)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccccc1F']; [0.991716444]
-Nc1ncc([C@@H]2C[C@H](O)C2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccccc2Br)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccccc1Br']; [0.901563525]
-N#Cc1ccccc1-c1cnc(N)c(O)c1; ['CC1(C)OB(c2ccccc2C#N)OC1(C)C', 'N#Cc1ccccc1B(O)O']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999952435, 0.999952435]
-Nc1ncc(-c2cccc(C(F)(F)F)c2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.996652544]
-Nc1ncc(-c2ccccc2Cl)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccccc1Cl']; [0.998096168]
-Nc1ncc(-c2ccccc2OC(F)(F)F)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.998596489]
-Nc1ncc(-c2cnn(Cc3ccccc3)c2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2c(F)cccc2F)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1c(F)cccc1F']; [0.998315215]
-Nc1ncc(-c2ccncn2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cnn(CCO)c2)cc1O; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.995161712]
-NC(=O)c1ccccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(c2)CCC3)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cnc(-c3ccccc3)[nH]2)cc1O; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)c(O)c2)c(Br)c1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(NC(=O)c3ccccc3)c2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cnc3ccccn23)cc1O; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnc(N)c(O)c2)s1; [None]; [None]; [0]
-Nc1ncc(-c2cnco2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cnc3cccnn23)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2c(Cl)cccc2Cl)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1c(Cl)cccc1Cl']; [0.997792482]
-Nc1ncc(-c2cccc(Cl)c2Cl)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1cccc(Cl)c1Cl']; [0.995364547]
-Cc1nc(N)sc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Cc1ncc(-c2cnc(N)c(O)c2)[nH]1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cnc(N)c(O)c2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Nc1ncc(Br)cc1O']; [0.997135162]
-Nc1ncc(-c2ccc3ccccc3c2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccc2ccccc2c1']; [0.998829782]
-COc1cccc(-c2cnc(N)c(O)c2)c1; ['COc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cccc(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999896288, 0.999896288]
-Nc1ncc(-c2cncc3ccccc23)cc1O; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cncc2ccccc12']; [0.999417067, 0.999417067]
-Nc1nccc(-c2cnc(N)c(O)c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(O)c2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Cl)s2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cccc(CO)c2)cc1O; ['Nc1ncc(Br)cc1O']; ['OCc1cccc(B(O)O)c1']; [0.931005895]
-Cn1cncc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2cccs2)cc1O; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(O)c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ncc(Br)cc1O']; [0.99970156]
-Nc1ncc(-c2ccco2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccco1']; [0.993607044]
-CC[C@H](CO)c1cnc(N)c(O)c1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cnc(N)c(O)c2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc(N)c(O)c2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1ncc(Br)cc1O']; [0.997545421]
-Nc1ncc(CC[C@@H](O)CO)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(F)cc2C(F)(F)F)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.998948038]
-CCC(=O)Nc1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2cnoc2)cc1O; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(O)c2)no1; [None]; [None]; [0]
-COc1ccc(-c2cnc(N)c(O)c2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Nc1ncc(Br)cc1O']; [0.999201834]
-CCCn1cc(-c2cnc(N)c(O)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ncc(Br)cc1O']; [0.998004615]
-Nc1ncc(-c2cccc3c2C(=O)CC3)cc1O; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O']; [0.991656542]
-Nc1ncc(-c2cc3c(=O)[nH]ccc3o2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2c[nH]c3ccccc23)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2c[nH]c3cnccc23)cc1O; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cnc(N)c(O)c2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cnc(N)c(O)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O']; [0.999329209]
-NC(=O)c1c(F)cccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnc(N)c(O)c2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Nc1ncc(Br)cc1O']; [0.998618603]
-Nc1ncc(-c2nc3ccc(O)cc3[nH]2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cccnc2O)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)c3ccccc3)cc2)cc1O; ['Nc1ncc(Br)cc1O']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999845505]
-Nc1ncc(-c2cnc(N)c(O)c2)s1; [None]; [None]; [0]
-Nc1nnc(-c2cnc(N)c(O)c2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cnc(N)c(O)c1; ['COc1cccc(F)c1B(O)O']; ['Nc1ncc(Br)cc1O']; [0.999816716]
-Cc1cncc(-c2cnc(N)c(O)c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2nc3ccccc3s2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2c[nH]c3cccnc23)cc1O; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cnc(N)c(O)c2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Nc1ncc(Br)cc1O']; [0.988492489]
-Nc1ncc(-c2cccc3ccsc23)cc1O; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cnc(N)c(O)c2)c1; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999962926, 0.999962926]
-C[C@@]1(O)CC[C@H](c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc(N)c(O)c2)cc1; ['N#Cc1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O']; [0.999410391]
-COc1ncccc1-c1cnc(N)c(O)c1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999791682, 0.999791682]
-Nc1ncc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1O; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cnc(N)c(O)c1; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ncc(Br)cc1O']; [0.999920368]
-CCOc1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cnc(N)c(O)c2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999989748, 0.999989748]
-COc1cc(-c2cnc(N)c(O)c2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1ncc(Br)cc1O']; [0.943601072]
-Cc1nn(C)cc1-c1cnc(N)c(O)c1; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ncc(Br)cc1O']; [0.999641061]
-Cn1nncc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2nc3ccccc3[nH]2)cc1O; [None]; [None]; [0]
-Cc1cc(Nc2cnc(N)c(O)c2)sn1; [None]; [None]; [0]
-COc1ccc(-c2cnc(N)c(O)c2)cc1; ['COc1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O']; [0.99893409]
-Nc1ncc(-c2ccc(C(=O)Nc3ccccc3)cc2)cc1O; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.999972224]
-NC(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999978662, 0.999978662]
-Nc1ncc(Nc2ncccn2)cc1O; [None]; [None]; [0]
-Nc1ncc(NC(=O)C2CC2)cc1O; [None]; [None]; [0]
-Nc1ncc(Cc2nccc3ccccc23)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cccc(F)c2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1cccc(F)c1']; [0.991345167]
-Nc1ncc(-c2ccc(Cl)cc2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccc(Cl)cc1']; [0.996601582]
-Nc1ncc(-c2cccc(C3CCNCC3)c2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(OCCO)cc2)cc1O; [None]; [None]; [0]
-Nc1ncc(Nc2ccncn2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(F)(F)F)cc2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.998930037]
-C[C@H](O)COc1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(O)c2)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999995232, 0.999995232]
-Nc1ncc(Cc2ccccc2O)cc1O; [None]; [None]; [0]
-Nc1ncc(Cc2ccncc2)cc1O; [None]; [None]; [0]
-Nc1ncc(Cc2cccnc2)cc1O; [None]; [None]; [0]
-Nc1ncc(C[C@H](O)CO)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cncnc2)cc1O; ['CC1(C)OB(c2cncnc2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cncnc1']; [0.998820961, 0.998820961]
-Nc1ncc(-c2cnc(Cl)nc2)cc1O; [None]; [None]; [0]
-COc1ccc(Cc2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Br)cc2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccc(Br)cc1']; [0.984979]
-COc1ccc(Cl)cc1-c1cnc(N)c(O)c1; ['COc1ccc(Cl)cc1B(O)O']; ['Nc1ncc(Br)cc1O']; [0.994330883]
-Nc1ncc(-n2ccnc2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(c2)CCO3)cc1O; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc2c(c1)CCO2']; [0.999992251, 0.999992251]
-Nc1ncc(-c2ccc[nH]2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cn[nH]c2)cc1O; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.99998486]
-COc1cc(-c2cnc(N)c(O)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Nc1ncc(Br)cc1O']; [0.99998951]
-Nc1ncc(-c2cc3ccccc3cn2)cc1O; [None]; [None]; [0]
-Nc1ncc(Cn2ccnc2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(F)c(F)c2)cc1O; ['CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.99997437]
-Nc1ncc(-c2scc3c2OCCO3)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cccc3c2OCO3)cc1O; [None]; [None]; [0]
-COCCOc1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2cnc3ccccc3c2)cc1O; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cnc2ccccc2c1']; [0.999814, 0.999814]
-CSc1cccc(-c2cnc(N)c(O)c2)c1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(O)c2)nc(N)n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O']; [0.999679446]
-Nc1ncc(-c2ccc(F)cc2Cl)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccc(F)cc1Cl']; [0.997893631]
-CC1(COc2cnc(N)c(O)c2)COC1; [None]; [None]; [0]
-Nc1ncc([C@H](CO)Cc2ccccc2)cc1O; [None]; [None]; [0]
-COc1ccc(-c2cnc(N)c(O)c2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999988317, 0.999988317]
-Nc1ncc([C@@H]2CC[C@@H](O)CC2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ncc(Br)cn2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Cl)cc2Cl)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.998729169]
-Nc1ncc([C@H]2CC[C@@H](O)C2)cc1O; [None]; [None]; [0]
-CCc1ccc(-c2cnc(N)c(O)c2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.99999249, 0.99999249]
-Nc1ncc(-c2ccsc2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccsc1']; [0.999567807]
-COc1ccc(CNc2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cnc(N)c(O)c3)c2c1; [None]; [None]; [0]
-Nc1ncc(-c2cccc3ccc(O)cc23)cc1O; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(O)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(O)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl']; ['Nc1ncc(Br)cc1O']; [0.999993205]
-Cc1nc(Nc2cnc(N)c(O)c2)sc1C; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)c(O)c2)o1; [None]; [None]; [0]
-COc1cc(F)c(-c2cnc(N)c(O)c2)cc1OC; [None]; [None]; [0]
-Nc1ncc(-c2ccc3cn[nH]c3c2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.998642147]
-COc1cc(-c2cnc(N)c(O)c2)c(OC)cc1Br; [None]; [None]; [0]
-Cc1cc(Nc2cnc(N)c(O)c2)nn1C; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc(N)c(O)c2)c1; ['COc1cc(OC)cc(B(O)O)c1']; ['Nc1ncc(Br)cc1O']; [0.994379103]
-Nc1ncc(-c2cc3ccccc3o2)cc1O; [None]; [None]; [0]
-CCn1cc(-c2cnc(N)c(O)c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ncc(Br)cc1O']; [0.993490696]
-CC(C)Oc1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(OC(F)(F)F)cc2)cc1O; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [0.99999845, 0.99999845]
-CNC(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ncc(Br)cc1O']; [0.999977112]
-COC(=O)Nc1cnc(N)c(O)c1; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)c(O)c2)nc1C; [None]; [None]; [0]
-CCc1cccc(-c2cnc(N)c(O)c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2cscn2)cc1O; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(N3CCCC3=O)c2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(CCO)cc2)cc1O; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnc(N)c(O)c2)c1; [None]; [None]; [0]
-Nc1ncc(Nc2ccc(F)cn2)cc1O; [None]; [None]; [0]
-Nc1ncc(Nc2ccccn2)cc1O; [None]; [None]; [0]
-CNC(=O)c1ccccc1Nc1ncccn1; ['CNC(=O)c1ccccc1N']; ['CS(=O)(=O)c1ncccn1']; [0.940732777]
-CCOc1ccccc1Nc1ncccn1; ['CCOc1ccccc1Br']; ['Nc1ncccn1']; [0.992998719]
-Fc1cc(F)cc(CNc2ncccn2)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(Nc2ncccn2)c1; ['CS(=O)(=O)c1ncccn1']; ['Nc1cccc(C(F)(F)F)c1']; [0.970283568]
-O[C@H]1C[C@@H](Nc2ncccn2)C1; [None]; [None]; [0]
-c1cnc(Nc2ccnc3ccccc23)nc1; ['Clc1ccnc2ccccc12']; ['Nc1ncccn1']; [0.997464895]
-c1cnc(Nc2cc[nH]n2)nc1; ['Clc1ncccn1']; ['Nc1cc[nH]n1']; [0.986592233]
-c1cnc(Nc2cccnc2)nc1; ['Clc1ncccn1', 'Brc1cccnc1']; ['Nc1cccnc1', 'Nc1ncccn1']; [0.998216, 0.998216]
-Brc1ccccc1Nc1ncccn1; ['Brc1ccccc1I', 'Brc1ccccc1Br']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.998945296, 0.998945296]
-Clc1ccccc1Nc1ncccn1; ['Clc1ccccc1Cl']; ['Nc1ncccn1']; [0.839066386]
-FC(F)(F)Oc1ccccc1Nc1ncccn1; ['FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.999691844, 0.999691844]
-Fc1ccccc1Nc1ncccn1; ['Fc1ccccc1I', 'Clc1ncccn1']; ['Nc1ncccn1', 'Nc1ccccc1F']; [0.997429311, 0.997429311]
-Fc1cccc(F)c1Nc1ncccn1; ['Fc1cccc(F)c1Br', 'Fc1cccc(F)c1I']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.999877, 0.999877]
-N#Cc1ccccc1Nc1ncccn1; ['Clc1ncccn1', 'N#Cc1ccccc1F']; ['N#Cc1ccccc1N', 'Nc1ncccn1']; [0.997674167, 0.997674167]
-c1ccc(Cn2cc(Nc3ncccn3)cn2)cc1; ['Brc1ncccn1']; ['Nc1cnn(Cc2ccccc2)c1']; [0.996293247]
-NC(=O)c1ccccc1Nc1ncccn1; ['Clc1ncccn1']; ['NC(=O)c1ccccc1N']; [0.975297391]
-c1cnc(Nc2ccncn2)nc1; ['Clc1ncccn1']; ['Nc1ccncn1']; [0.997024119]
-N[C@H](Nc1ncccn1)c1ccco1; [None]; [None]; [0]
-c1cnc(Nc2ccc3c(c2)CCC3)nc1; ['Clc1ncccn1', 'Ic1ccc2c(c1)CCC2']; ['Nc1ccc2c(c1)CCC2', 'Nc1ncccn1']; [0.998833477, 0.998833477]
-c1ccc(-c2ncc(Nc3ncccn3)[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2ncccn2)c1)c1ccccc1; [None]; [None]; [0]
-c1cnc(Nc2cnc3ccccn23)nc1; ['Clc1ncccn1']; ['Nc1cnc2ccccn12']; [0.991857052]
-c1cnc(Nc2cnco2)nc1; [None]; [None]; [0]
-OCCn1cc(Nc2ncccn2)cn1; [None]; [None]; [0]
-Cc1ccc(Nc2ncccn2)c(Br)c1; []; []; []
-c1cnc(Nc2cnc3cccnn23)nc1; ['Brc1cnc2cccnn12']; ['Nc1ncccn1']; [0.999897]
-Cc1nc(N)sc1Nc1ncccn1; [None]; [None]; [0]
-Cc1nc(C)c(Nc2ncccn2)s1; [None]; [None]; [0]
-Clc1cccc(Cl)c1Nc1ncccn1; ['Clc1cccc(Cl)c1Br', 'Clc1ncccn1']; ['Nc1ncccn1', 'Nc1c(Cl)cccc1Cl']; [0.999618649, 0.999618649]
-Cc1ccc(Cl)c(Nc2ncccn2)c1; ['Cc1ccc(Cl)c(Br)c1']; ['Nc1ncccn1']; [0.997645319]
-c1cnc(NOC2CCCCC2)nc1; [None]; [None]; [0]
-CC(C)(C)NNc1ncccn1; [None]; [None]; [0]
-Clc1cccc(Nc2ncccn2)c1Cl; ['Clc1cccc(Br)c1Cl']; ['Nc1ncccn1']; [0.997288942]
-Cc1ncc(Nc2ncccn2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['Nc1ncccn1']; [0.778304815]
-c1cnc(NNCc2cccnc2)nc1; [None]; [None]; [0]
-Nc1nccc(Nc2ncccn2)n1; ['Clc1ncccn1']; ['Nc1ccnc(N)n1']; [0.991238654]
-COc1cccc(Nc2ncccn2)c1; ['COc1cccc(N)c1']; ['Clc1ncccn1']; [0.998016]
-c1cnc(Nc2ccc3ccccc3c2)nc1; [None]; [None]; [0]
-Clc1ccc(Nc2ncccn2)s1; [None]; [None]; [0]
-C[C@H](CO)NNc1ncccn1; [None]; [None]; [0]
-O=C(NNc1ncccn1)c1cccs1; ['NNc1ncccn1']; ['O=C(Cl)c1cccs1']; [0.997777164]
-c1cnc(Nn2cnc3ccccc32)nc1; [None]; [None]; [0]
-c1cnc(NNc2cccnc2)nc1; [None]; [None]; [0]
-Oc1cccc(Nc2ncccn2)c1; ['Clc1ncccn1']; ['Nc1cccc(O)c1']; [0.998478234]
-CC(C)CONc1ncccn1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)ONc1ncccn1; [None]; [None]; [0]
-c1cnc(Nc2cncc3ccccc23)nc1; ['Brc1ncccn1']; ['Nc1cncc2ccccc12']; [0.999837756]
-OCc1cccc(Nc2ncccn2)c1; ['Clc1ncccn1']; ['Nc1cccc(CO)c1']; [0.990639567]
-c1cnc(NNc2ccncc2)nc1; ['Clc1ccncc1']; ['NNc1ncccn1']; [0.910470188]
-Cn1cc(Nc2ncccn2)cn1; ['Clc1ncccn1']; ['Cn1cc(N)cn1']; [0.998894513]
-Cn1cncc1Nc1ncccn1; ['Clc1ncccn1', 'Cn1cncc1Br', 'Cn1cncc1Cl']; ['Cn1cncc1N', 'Nc1ncccn1', 'Nc1ncccn1']; [0.989349782, 0.989349782, 0.989349782]
-c1cnc(Nc2cccs2)nc1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(Nc2ncccn2)cc1; ['CCC(=O)Nc1ccc(N)cc1']; ['Clc1ncccn1']; [0.980113]
-CC(C)NNc1ncccn1; [None]; [None]; [0]
-c1cnc(Nc2ccco2)nc1; [None]; [None]; [0]
-Fc1ccc(Nc2ncccn2)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1']; ['Nc1ncccn1']; [0.998683035]
-CCC(=O)NNc1ncccn1; ['CCC(=O)Cl']; ['NNc1ncccn1']; [0.962289512]
-COc1ccc(Nc2ncccn2)cc1Cl; ['COc1ccc(N)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl']; ['Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.999095917, 0.999095917, 0.999095917]
-N#CCCc1cccc(Nc2ncccn2)c1; [None]; [None]; [0]
-CCCn1cc(Nc2ncccn2)cn1; ['CCCn1cc(N)cn1']; ['Clc1ncccn1']; [0.999512196]
-CC(=O)Nc1cccc(Nc2ncccn2)c1; ['CC(=O)Nc1cccc(N)c1']; ['Clc1ncccn1']; [0.995463908]
-c1cnc(Nc2cnoc2)nc1; [None]; [None]; [0]
-Cc1cc(Nc2ncccn2)no1; ['Cc1cc(N)no1']; ['Clc1ncccn1']; [0.998463035]
-O=C1CCc2cccc(Nc3ncccn3)c21; ['Nc1ncccn1']; ['O=C1CCc2cccc(Br)c21']; [0.997893155]
-CCOC(=O)CNc1ncccn1; ['CCOC(=O)CN']; ['Clc1ncccn1']; [0.990292251]
-CC(C)(N)c1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(Nc3ncccn3)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
-CCN(CC)Nc1ncccn1; [None]; [None]; [0]
-c1cnc(NNc2cnc3ccccc3c2)nc1; [None]; [None]; [0]
-c1cnc(Nc2c[nH]c3ccccc23)nc1; [None]; [None]; [0]
-COc1ccncc1NNc1ncccn1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)Nc1ncccn1; ['Ic1ncccn1', 'Clc1ncccn1']; ['N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1']; [0.996338129, 0.996338129]
-c1cnc(Nc2c[nH]c3cnccc23)nc1; ['Brc1c[nH]c2cnccc12']; ['Nc1ncccn1']; [0.860524]
-N#CC[C@@H]1CC[C@@H](Nc2ncccn2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](Nc2ncccn2)C1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2ncccn2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['Clc1ncccn1']; [0.999193847]
-N#C[C@@H]1CC[C@@H](Nc2ncccn2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1Nc1ncccn1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(Nc2ncccn2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncccn1']; [0.987511158]
-CS(=O)(=O)c1ccc(Nc2ncccn2)cc1; ['CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(F)cc1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.979924321, 0.979924321]
-NC(=O)c1c(F)cccc1Nc1ncccn1; ['Clc1ncccn1']; ['NC(=O)c1c(N)cccc1F']; [0.995726347]
-c1cnc(Nn2ncc3ccccc32)nc1; [None]; [None]; [0]
-Oc1ncccc1Nc1ncccn1; ['Clc1ncccn1']; ['Nc1cccnc1O']; [0.992481351]
-COc1ccc(Nc2ncccn2)c(OC)c1; ['COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.992605, 0.992605]
-Oc1cccc2c1cnn2Nc1ncccn1; [None]; [None]; [0]
-c1cnc(NCc2ccncc2)nc1; ['Clc1ncccn1', 'Nc1ncccn1']; ['NCc1ccncc1', 'OCc1ccncc1']; [0.997010827, 0.997010827]
-Oc1ccc2nc(Nc3ncccn3)[nH]c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
-c1cnc(Nn2ccnc2)nc1; [None]; [None]; [0]
-c1cnc(NOC2CCOCC2)nc1; [None]; [None]; [0]
-Cc1cncc(Nc2ncccn2)n1; ['Cc1cncc(Br)n1']; ['Nc1ncccn1']; [0.99697721]
-Nc1ncc(Nc2ncccn2)s1; [None]; [None]; [0]
-Nc1nnc(Nc2ncccn2)s1; [None]; [None]; [0]
-c1cnc(Nc2cccc3ccsc23)nc1; ['Brc1cccc2ccsc12']; ['Nc1ncccn1']; [0.990070164]
-c1cnc(Nc2nc3ccccc3s2)nc1; ['Brc1nc2ccccc2s1']; ['Nc1ncccn1']; [0.999693155]
-COc1cccc(F)c1Nc1ncccn1; [None]; [None]; [0]
-COc1ccc(C#N)cc1Nc1ncccn1; ['COc1ccc(C#N)cc1N']; ['Clc1ncccn1']; [0.999913692]
-Nc1nc(Nc2ncccn2)nc2ccccc12; ['Brc1ncccn1']; ['Nc1nc(N)c2ccccc2n1']; [0.982385695]
-c1cnc(NCc2cccnc2)nc1; ['Nc1ncccn1', 'BrCc1cccnc1']; ['O=Cc1cccnc1', 'Nc1ncccn1']; [0.970537364, 0.970537364]
-c1cnc(Nc2c[nH]c3cccnc23)nc1; [None]; [None]; [0]
-CC(C)(C)CNNc1ncccn1; [None]; [None]; [0]
-Cc1cc(C)cc(Nc2ncccn2)c1; ['Cc1cc(C)cc(I)c1']; ['Nc1ncccn1']; [0.994276702]
-CC(C)(C)ONc1ncccn1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](Nc2ncccn2)CC1; [None]; [None]; [0]
-N#Cc1ccc(Nc2ncccn2)cc1; ['Clc1ncccn1']; ['N#Cc1ccc(N)cc1']; [0.999820411]
-COc1ccc(OC)c(Nc2ncccn2)c1; ['COc1ccc(OC)c(Br)c1']; ['Nc1ncccn1']; [0.996877909]
-c1cnc(NN2CCC(c3nc4ccccc4[nH]3)CC2)nc1; [None]; [None]; [0]
-COc1ncccc1Nc1ncccn1; ['Brc1ncccn1']; ['COc1ncccc1N']; [0.99932313]
-C1=C(c2c[nH]c3ccccc23)CCN(Nc2ncccn2)C1; [None]; [None]; [0]
-Cc1n[nH]cc1Nc1ncccn1; ['Cc1n[nH]cc1N']; ['Clc1ncccn1']; [0.994538248]
-CCOc1ccc(Nc2ncccn2)cc1; ['CCOc1ccc(N)cc1']; ['Clc1ncccn1']; [0.998544216]
-CS(=O)(=O)c1cccc(Nc2ncccn2)c1; ['CS(=O)(=O)c1cccc(Br)c1']; ['Nc1ncccn1']; [0.996852]
-Cc1nn(C)cc1Nc1ncccn1; ['Cc1nn(C)cc1N']; ['Clc1ncccn1']; [0.986941397]
-COc1cc(Nc2ncccn2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC']; ['Nc1ncccn1']; [0.979590416]
-Cn1nncc1Nc1ncccn1; [None]; [None]; [0]
-NC(=O)c1ccc(Nc2ncccn2)cc1; ['Clc1ncccn1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Cl)cc1']; ['NC(=O)c1ccc(N)cc1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.999569237, 0.999569237, 0.999569237]
-COc1ccc(Nc2ncccn2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(Br)cc1']; ['CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.991687596, 0.991687596]
-c1cnc(Nc2nc3ccccc3[nH]2)nc1; ['CSc1nc2ccccc2[nH]1']; ['Nc1ncccn1']; [0.983610928]
-c1cnc(NCc2nccc3ccccc23)nc1; ['Clc1ncccn1']; ['NCc1nccc2ccccc12']; [0.999105632]
-O=C(Nc1ccccc1)c1ccc(Nc2ncccn2)cc1; ['Clc1ncccn1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.999203265]
-Clc1ccc(Nc2ncccn2)cc1; ['Clc1ncccn1']; ['Nc1ccc(Cl)cc1']; [0.986341417]
-OCCCNc1ncccn1; [None]; [None]; [0]
-c1cnc(NNc2ncccn2)nc1; [None]; [None]; [0]
-Cc1cc(Nc2ncccn2)nn1C; ['Cc1cc(N)nn1C']; ['Clc1ncccn1']; [0.995055676]
-Fc1cccc(Nc2ncccn2)c1; ['Fc1cccc(Br)c1']; ['Nc1ncccn1']; [0.996374071]
-c1cnc(Nc2cccc(C3CCNCC3)c2)nc1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2ncccn2)cc1; ['CN(C)c1ccc(N)cc1']; ['Clc1ncccn1']; [0.999309421]
-FC(F)(F)c1ccc(Nc2ncccn2)cc1; ['CS(=O)c1ncccn1', 'FC(F)(F)c1ccc(Br)cc1', 'CS(=O)(=O)c1ncccn1']; ['Nc1ccc(C(F)(F)F)cc1', 'Nc1ncccn1', 'Nc1ccc(C(F)(F)F)cc1']; [0.993022501, 0.993022501, 0.993022501]
-OCCOc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
-c1cnc(Nc2cncnc2)nc1; ['Clc1ncccn1']; ['Nc1cncnc1']; [0.99442]
-Brc1ccc(Nc2ncccn2)cc1; ['Brc1ccc(Br)cc1']; ['Nc1ncccn1']; [0.885654628]
-c1cnc(Nc2cn[nH]c2)nc1; ['Clc1ncccn1']; ['Nc1cn[nH]c1']; [0.997899055]
-C[C@H](O)COc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
-Clc1ncc(Nc2ncccn2)cn1; ['Clc1ncccn1']; ['Nc1cnc(Cl)nc1']; [0.944026709]
-c1cnc(Nc2cc3ccccc3cn2)nc1; ['Clc1ncccn1', 'Clc1cc2ccccc2cn1']; ['Nc1cc2ccccc2cn1', 'Nc1ncccn1']; [0.999354541, 0.999354541]
-COc1ccc(Cl)cc1Nc1ncccn1; ['COc1ccc(Cl)cc1N']; ['Clc1ncccn1']; [0.996831238]
-c1cnc(Nc2ccc3c(c2)CCO3)nc1; ['Clc1ncccn1']; ['Nc1ccc2c(c1)CCO2']; [0.999037266]
-c1cnc(Nc2ccc[nH]2)nc1; [None]; [None]; [0]
-COc1cc(Nc2ncccn2)ccc1O; ['COc1cc(Br)ccc1O']; ['Nc1ncccn1']; [0.971163452]
-Fc1ccc(Nc2ncccn2)cc1F; ['CS(=O)(=O)c1ncccn1', 'Fc1ccc(I)cc1F']; ['Nc1ccc(F)c(F)c1', 'Nc1ncccn1']; [0.999366462, 0.999366462]
-c1cnc(Nc2cccc3c2OCO3)nc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2ncccn2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1']; ['Clc1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.999742091, 0.999742091]
-CSc1cccc(Nc2ncccn2)c1; ['CSc1cccc(N)c1', 'CSc1cccc(Br)c1']; ['Clc1ncccn1', 'Nc1ncccn1']; [0.995978594, 0.995978594]
-c1cnc(Nc2scc3c2OCCO3)nc1; [None]; [None]; [0]
-c1cnc(Nc2cnc3ccccc3c2)nc1; ['Clc1ncccn1']; ['Nc1cnc2ccccc2c1']; [0.999622822]
-O[C@@H]1CC[C@@H](Nc2ncccn2)CC1; ['CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1']; ['N[C@H]1CC[C@H](O)CC1', 'N[C@H]1CC[C@H](O)CC1']; [0.994705141, 0.994705141]
-Fc1ccc(Nc2ncccn2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.999564, 0.999564]
-Cc1cc(Nc2ncccn2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Nc1ncccn1']; [0.999468]
-COc1ccc(Nc2ncccn2)cc1OC; ['COc1ccc(N)cc1OC']; ['Clc1ncccn1']; [0.999363124]
-CC[C@@H](CO)Nc1ncccn1; ['CC[C@H](N)CO']; ['Clc1ncccn1']; [0.99686569]
-Brc1cnc(Nc2ncccn2)nc1; ['Clc1ncc(Br)cn1', 'Clc1ncccn1']; ['Nc1ncccn1', 'Nc1ncc(Br)cn1']; [0.997613549, 0.997613549]
-c1cnc(Nc2ccsc2)nc1; ['Clc1ncccn1']; ['Nc1ccsc1']; [0.998999894]
-O[C@@H]1CC[C@H](Nc2ncccn2)C1; [None]; [None]; [0]
-CCc1ccc(Nc2ncccn2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(I)cc1']; ['Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.999144554, 0.999144554, 0.999144554]
-Clc1ccc(Nc2ncccn2)c(Cl)c1; ['Clc1ncccn1', 'Clc1ccc(I)c(Cl)c1']; ['Nc1ccc(Cl)cc1Cl', 'Nc1ncccn1']; [0.996611774, 0.996611774]
-Oc1ccc2cccc(Nc3ncccn3)c2c1; ['Clc1ncccn1']; ['Nc1cccc2ccc(O)cc12']; [0.987037301]
-COc1ccc2cccc(Nc3ncccn3)c2c1; [None]; [None]; [0]
-Cn1cc(Nc2ncccn2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(Nc2ncccn2)ccc1Cl; ['COc1cc(Br)ccc1Cl']; ['Nc1ncccn1']; [0.997047246]
-COc1cc(F)c(Nc2ncccn2)cc1OC; [None]; [None]; [0]
-COc1cc(Nc2ncccn2)cc(OC)c1; ['COc1cc(N)cc(OC)c1', 'COc1cc(I)cc(OC)c1']; ['Clc1ncccn1', 'Nc1ncccn1']; [0.999213457, 0.999213457]
-Cc1ccc(Nc2ncccn2)o1; [None]; [None]; [0]
-c1cnc(Nc2ccc3cn[nH]c3c2)nc1; ['Brc1ccc2cn[nH]c2c1']; ['Nc1ncccn1']; [0.994971514]
-FC(F)(F)Oc1ccc(Nc2ncccn2)cc1; ['FC(F)(F)Oc1ccc(Br)cc1']; ['Nc1ncccn1']; [0.996741831]
-CNC(=O)c1ccc(Nc2ncccn2)cc1; ['CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.99906987, 0.99906987, 0.99906987]
-COc1cc(Nc2ncccn2)c(OC)cc1Br; [None]; [None]; [0]
-CCc1cccc(Nc2ncccn2)n1; ['CCc1cccc(N)n1']; ['Clc1ncccn1']; [0.995454192]
-Cc1ccc(Nc2ncccn2)nc1C; ['Brc1ncccn1']; ['Cc1ccc(N)nc1C']; [0.999531031]
-OCCc1ccc(Nc2ncccn2)cc1; ['CS(=O)c1ncccn1', 'Nc1ncccn1']; ['Nc1ccc(CCO)cc1', 'OCCc1ccc(Br)cc1']; [0.986369491, 0.986369491]
-c1cnc(Nc2cc3ccccc3o2)nc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1Nc1ncccn1; [None]; [None]; [0]
-N#Cc1ccc(NC(=O)c2ccccc2)cc1; ['N#Cc1ccc(N)cc1']; ['O=C(c1ccccc1)n1ccnc1']; [0.998956442]
-c1cnc(Nc2cscn2)nc1; [None]; [None]; [0]
-CCOc1ccc(NC(=O)c2ccccc2)cc1; ['CCOc1ccc(Br)cc1', 'CCOc1ccc(N=C=O)cc1']; ['NC(=O)c1ccccc1', 'Ic1ccccc1']; [0.997582793, 0.997582793]
-O=C1CCCN1c1cccc(Nc2ncccn2)c1; ['Clc1ncccn1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.998252]
-COc1ncccc1NC(=O)c1ccccc1; ['COc1ncccc1Br']; ['NC(=O)c1ccccc1']; [0.899931312]
-CS(=O)(=O)c1ccc(Cl)c(Nc2ncccn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ncccn1']; [0.99957794]
-Cc1n[nH]cc1NC(=O)c1ccccc1; ['Cc1n[nH]cc1N', 'Cc1n[nH]cc1N']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1']; [0.999775, 0.999775]
-CS(=O)(=O)c1cccc(NC(=O)c2ccccc2)c1; ['CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CCOC(=O)c1ccccc1', 'CS(=O)(=O)c1cccc([N+](=O)[O-])c1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'CS(=O)(=O)c1cccc(N)c1', 'O=C(Cl)c1ccccc1']; [0.99925369, 0.99925369, 0.99925369, 0.99925369, 0.99925369]
-Cn1cc(NC(=O)c2ccccc2)cn1; ['Cn1cc(N)cn1']; ['O=C(O)c1ccccc1']; [0.997075796]
-Cn1nncc1NC(=O)c1ccccc1; [None]; [None]; [0]
-Cc1nn(C)cc1NC(=O)c1ccccc1; ['Cc1nn(C)cc1N']; ['O=C(Cl)c1ccccc1']; [0.999124944]
-COc1ccc(NC(=O)c2ccccc2)cc1; ['COc1ccc(N)cc1']; ['O=C(Cl)c1ccccc1']; [0.999361694]
-O=C(Nc1cccc(O)c1)c1ccccc1; ['COC(=O)c1ccccc1']; ['Nc1cccc(O)c1']; [0.906247139]
-COc1cc(NC(=O)c2ccccc2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'COC(=O)c1ccccc1', 'COc1cc(N)cc(OC)c1OC']; ['O=C(OC(=O)c1ccccc1)c1ccccc1', 'COc1cc(N)cc(OC)c1OC', 'O=Cc1ccccc1']; [0.990891635, 0.990891635, 0.990891635]
-O=C(NNc1ncccn1)c1ccccc1; ['NNc1ncccn1']; ['O=C(O)c1ccccc1']; [0.997506559]
-NC(=O)c1ccc(NC(=O)c2ccccc2)cc1; []; []; []
-O=C(NCc1nccc2ccccc12)c1ccccc1; ['NC(=O)c1ccccc1']; ['NCc1nccc2ccccc12']; [0.993584692]
-O=C(Nc1cccc(F)c1)c1ccccc1; ['Fc1cccc(I)c1', 'Nc1cccc(F)c1', 'Nc1cccc(F)c1']; ['NC(=O)c1ccccc1', 'O=C(O)C(=O)c1ccccc1', 'O=Cc1ccccc1']; [0.983622134, 0.983622134, 0.983622134]
-O=C(Nc1cnc2cccnn12)c1ccccc1; [None]; [None]; [0]
-O=C(NCCCO)c1ccccc1; ['COC(=O)c1ccccc1']; ['NCCCO']; [0.977454543]
-O=C(Nc1nc2ccccc2[nH]1)c1ccccc1; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1']; [0.998560727, 0.998560727]
-O=C(Nc1ccc(OCCO)cc1)c1ccccc1; ['O=C(Nc1ccc(O)cc1)c1ccccc1']; ['OCCBr']; [0.996418357]
-Cc1cc(NC(=O)c2ccccc2)nn1C; ['Cc1cc(N)nn1C']; ['O=C(O)c1ccccc1']; [0.986462653]
-O=C(Nc1ccc(C(=O)Nc2ccccc2)cc1)c1ccccc1; ['NC(=O)c1ccccc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1']; ['O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(O)c1ccccc1']; [0.815959275, 0.815959275]
-O=C(Nc1ccc(Cl)cc1)c1ccccc1; ['Nc1ccc(Cl)cc1', 'Clc1ccc(Br)cc1', 'Clc1ccc(I)cc1', 'Clc1ccc(I)cc1', 'Nc1ccc(Cl)cc1']; ['O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'NCc1ccccc1', 'OCc1ccccc1']; [0.99915719, 0.99915719, 0.99915719, 0.99915719, 0.99915719]
-O=C(Nc1ccc(C(F)(F)F)cc1)c1ccccc1; [None]; [None]; [0]
-O=C(Nc1cccc(C2CCNCC2)c1)c1ccccc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1']; [0.997914493, 0.997914493]
-C[C@H](O)COc1ccc(NC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(NC(=O)c2ccccc2)cc1; ['CN(C)c1ccc(N)cc1']; ['O=C(Cl)c1ccccc1']; [0.999413967]
-O=C(Nc1cnc(Cl)nc1)c1ccccc1; ['Nc1cnc(Cl)nc1', 'Nc1cnc(Cl)nc1']; ['O=C(O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1']; [0.994479179, 0.994479179]
-COc1ccc(Cl)cc1NC(=O)c1ccccc1; ['COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1Br']; ['O=C(O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.99902308, 0.99902308]
-Cc1nc(C)c(NC(=O)c2ccccc2)s1; [None]; [None]; [0]
-O=C(Nc1cncnc1)c1ccccc1; ['Nc1cncnc1']; ['O=C(Cl)c1ccccc1']; [0.999388099]
-O=C(Nc1ccc(Br)cc1)c1ccccc1; ['COC(=O)c1ccccc1', 'Nc1ccc(Br)cc1', 'C(#Cc1ccccc1)c1ccccc1', 'Nc1ccc(Br)cc1']; ['Nc1ccc(Br)cc1', 'O=C(O)c1ccccc1', 'Nc1ccc(Br)cc1', 'O=Cc1ccccc1']; [0.998492, 0.998492, 0.998492, 0.998492]
-O=C(Nc1cn[nH]c1)c1ccccc1; ['Nc1cn[nH]c1']; ['O=C(Cl)c1ccccc1']; [0.999853849]
-O=C(Nc1ccc2c(c1)CCO2)c1ccccc1; ['COC(=O)c1ccccc1', 'Brc1ccc2c(c1)CCO2', 'O=C(Cl)c1ccccc1']; ['Nc1ccc2c(c1)CCO2', 'NC(=O)c1ccccc1', 'O=[N+]([O-])c1ccc2c(c1)CCO2']; [0.999236584, 0.999236584, 0.999236584]
-O=C(Nc1ccc[nH]1)c1ccccc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(NC(=O)c2ccccc2)c1; ['CC(=O)Nc1cccc(N)c1']; ['O=C(Cl)c1ccccc1']; [0.99276334]
-O=C(Nc1c[nH]c2ccccc12)c1ccccc1; [None]; [None]; [0]
-O=C(Nc1cc2ccccc2cn1)c1ccccc1; ['Nc1cc2ccccc2cn1']; ['O=C(Cl)c1ccccc1']; [0.99964]
-COc1cc(NC(=O)c2ccccc2)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(N)ccc1O']; ['O=C(O)c1ccccc1', 'O=C(Cl)c1ccccc1']; [0.99724257, 0.99724257]
-O=C(Nc1ccc(F)c(F)c1)c1ccccc1; ['Nc1ccc(F)c(F)c1']; ['O=C(Cl)c1ccccc1']; [0.999965191]
-O=C(Nc1scc2c1OCCO2)c1ccccc1; [None]; [None]; [0]
-O=C(Nc1cccc2c1OCO2)c1ccccc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(NC(=O)c2ccccc2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['O=C(O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.996183217, 0.996183217]
-O=C(Nc1cnc2ccccc2c1)c1ccccc1; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccccc2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['NC(=O)c1ccccc1']; [0.995810151]
-CC[C@@H](CO)NC(=O)c1ccccc1; ['CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CCOC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'COC(=O)c1ccccc1', 'CC[C@H](N)CO']; [0.999923825, 0.999923825, 0.999923825, 0.999923825]
-O=C(Nc1ccco1)c1ccccc1; [None]; [None]; [0]
-O=C(N[C@@H]1CC[C@@H](O)CC1)c1ccccc1; ['ClCc1ccccc1']; ['N[C@H]1CC[C@H](O)CC1']; [0.99878484]
-CSc1cccc(NC(=O)c2ccccc2)c1; ['CSc1cccc(N)c1', 'CSc1cccc(Cl)c1']; ['O=C(O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.999256313, 0.999256313]
-O=C(Nc1ccc(F)cc1Cl)c1ccccc1; ['Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl']; ['O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1']; [0.998559654, 0.998559654]
-O=C(Nc1ncc(Br)cn1)c1ccccc1; ['Clc1ncc(Br)cn1']; ['NC(=O)c1ccccc1']; [0.993639886]
-COc1ccc(NC(=O)c2ccccc2)cc1OC; ['CCOC(=O)c1ccccc1', 'COc1ccc(I)cc1OC']; ['COc1ccc(N)cc1OC', 'N#Cc1ccccc1']; [0.995328307, 0.995328307]
-O=C(Nc1ccsc1)c1ccccc1; []; []; []
-O=C(N[C@H]1CC[C@@H](O)C1)c1ccccc1; [None]; [None]; [0]
-O=C(Nc1ccc(Cl)cc1Cl)c1ccccc1; ['Nc1ccc(Cl)cc1Cl', 'COC(=O)c1ccccc1', 'Clc1ccc(I)c(Cl)c1', 'Nc1ccc(Cl)cc1Cl']; ['O=C(Cl)c1ccccc1', 'Nc1ccc(Cl)cc1Cl', 'NC(=O)c1ccccc1', 'O=Cc1ccccc1']; [0.998469651, 0.998469651, 0.998469651, 0.998469651]
-CCc1ccc(NC(=O)c2ccccc2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(N)cc1']; ['O=C(c1ccccc1)n1ccnc1', 'O=C(O)C(=O)c1ccccc1']; [0.997224212, 0.997224212]
-Cc1cc(C)cc(NC(=O)c2ccccc2)c1; ['Cc1cc(C)cc(N)c1']; ['O=C(Br)c1ccccc1']; [0.991910398]
-COc1ccc2cccc(NC(=O)c3ccccc3)c2c1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccccc2)ccc1Cl; ['COC(=O)c1ccccc1', 'COc1cc(N)ccc1Cl']; ['COc1cc(N)ccc1Cl', 'O=C(OC(=O)c1ccccc1)c1ccccc1']; [0.996355891, 0.996355891]
-Cn1cc(NC(=O)c2ccccc2)c(C(F)(F)F)n1; [None]; [None]; [0]
-O=C(Nc1cccc2ccc(O)cc12)c1ccccc1; ['Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12']; ['O=C(O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1']; [0.998060882, 0.998060882, 0.998060882]
-COc1cc(F)c(NC(=O)c2ccccc2)cc1OC; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccccc2)cc(OC)c1; ['COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(I)cc(OC)c1']; ['O=C(c1ccccc1)n1ccnc1', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1']; [0.998765588, 0.998765588, 0.998765588]
-COc1cc(NC(=O)c2ccccc2)c(OC)cc1Br; []; []; []
-Cc1ccc(NC(=O)c2ccccc2)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CNC(=O)c1ccc(N)cc1', 'CCOC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'CNC(=O)c1ccc(N)cc1']; [0.968306184, 0.968306184]
-O=C(Nc1ccc2cn[nH]c2c1)c1ccccc1; ['Nc1ccc2cn[nH]c2c1', 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1']; ['O=C(O)c1ccccc1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1']; [0.999560773, 0.999560773, 0.999560773]
-CCc1cccc(NC(=O)c2ccccc2)n1; ['CCc1cccc(N)n1']; ['O=C(O)c1ccccc1']; [0.996893287]
-O=C(Nc1ccc(OC(F)(F)F)cc1)c1ccccc1; ['Nc1ccc(OC(F)(F)F)cc1', 'Ic1ccccc1', 'COC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C=Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1']; [0.999884725, 0.999884725, 0.999884725]
-O=C(Nc1cc2ccccc2o1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(NC(=O)c2ccccc2)nc1C; ['Cc1ccc(N)nc1C']; ['O=C(OC(=O)c1ccccc1)c1ccccc1']; [0.995354772]
-O=C(Nc1ccc(CCO)cc1)c1ccccc1; ['Nc1ccc(CCO)cc1']; ['O=C(O)C(=O)c1ccccc1']; [0.937564075]
-O=C(Nc1cscn1)c1ccccc1; ['Clc1cscn1']; ['NC(=O)c1ccccc1']; [0.996540844]
-COc1cc(N2CCNCC2)ccc1NC(=O)c1ccccc1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc(F)cc2)cc1; ['Fc1ccc(I)cc1']; ['N#Cc1ccc(I)cc1']; [0.989994347]
-O=C(Nc1cccc(N2CCCC2=O)c1)c1ccccc1; ['Nc1cccc(N2CCCC2=O)c1']; ['O=C(O)c1ccccc1']; [0.99911052]
-CCOc1ccc(-c2ccc(F)cc2)cc1; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc([B-](F)(F)F)cc1', 'CCOc1ccc([B-](F)(F)F)cc1', 'CCOc1ccc(I)cc1']; ['Fc1ccc(I)cc1', 'OB(O)c1ccc(F)cc1', 'Fc1ccc([B-](F)(F)F)cc1', 'Fc1ccc(Br)cc1', 'Fc1ccc(I)cc1', 'Fc1ccc([B-](F)(F)F)cc1']; [0.999839544, 0.999839544, 0.999839544, 0.999839544, 0.999839544, 0.999839544]
-COc1ncccc1-c1ccc(F)cc1; ['COc1ncccc1Cl', 'COc1ccccn1']; ['Fc1ccc([Mg]Br)cc1', 'Fc1ccc(I)cc1']; [0.996038079, 0.996038079]
-CS(=O)(=O)c1cccc(-c2ccc(F)cc2)c1; ['CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(I)cc1', 'Fc1ccc(Br)cc1']; [0.999988317, 0.999988317, 0.999988317]
-COc1cc(-c2ccc(F)cc2)cc(OC)c1OC; ['COc1cc(I)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC']; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(I)cc1', 'OB(O)c1ccc(F)cc1', 'OB(O)c1ccc(F)cc1', 'Fc1ccc(Br)cc1', 'Nc1ccc(F)cc1', 'Fc1ccc(I)cc1']; [0.999931, 0.999931, 0.999931, 0.999931, 0.999931, 0.999931, 0.999931]
-CS(=O)(=O)c1ccc(Cl)c(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(F)cc2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; ['Fc1ccc(Cl)cc1', 'Fc1ccc(I)cc1']; [0.999930263, 0.999930263]
-Fc1ccc(-c2cnc3cccnn23)cc1; ['Fc1ccc(Br)cc1']; ['c1cnn2ccnc2c1']; [0.999992251]
-Cc1n[nH]cc1-c1ccc(F)cc1; ['Cc1n[nH]cc1I']; ['OB(O)c1ccc(F)cc1']; [0.999386191]
-Oc1cccc(-c2ccc(F)cc2)c1; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(I)cc1', 'OB(O)c1ccc(F)cc1', 'Fc1ccc(Cl)cc1']; ['Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Cl)c1', 'OB(O)c1cccc(O)c1']; [0.999921679, 0.999921679, 0.999921679, 0.999921679]
-Fc1ccc(-c2nc3ccccc3[nH]2)cc1; ['Fc1ccc(CBr)cc1', 'Fc1ccc(C=Nc2ccccc2)cc1', 'Nc1ccccc1N']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'O=Cc1ccc(F)cc1']; [0.99910152, 0.99910152, 0.99910152]
-Cn1nncc1-c1ccc(F)cc1; ['Cn1ccnn1']; ['Fc1ccc(Br)cc1']; [0.99986732]
-Cc1nn(C)cc1-c1ccc(F)cc1; ['Cc1nn(C)cc1Br']; ['OB(O)c1ccc(F)cc1']; [0.999930739]
-Fc1ccc(Nc2ncccn2)cc1; ['CS(=O)(=O)c1ncccn1']; ['Nc1ccc(F)cc1']; [0.989064813]
-Cc1cc(Nc2ccc(F)cc2)sn1; ['Cc1cc(N)sn1']; ['Fc1ccc(Cl)cc1']; [0.993650496]
-COc1ccc(-c2ccc(F)cc2)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc([Si](C)(C)O)cc1']; ['Fc1ccc(I)cc1', 'OB(O)c1ccc(F)cc1', 'Fc1ccc(I)cc1']; [0.999214888, 0.999214888, 0.999214888]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(F)cc2)cc1; ['O=C(Nc1ccccc1)c1ccc(Br)cc1', 'Fc1ccc(Br)cc1']; ['OB(O)c1ccc(F)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999899507, 0.999899507]
-Fc1ccc(-c2cccc(F)c2)cc1; ['Fc1ccc(I)cc1']; ['Fc1cccc(I)c1']; [0.986991763]
-O=C(Nc1ccc(F)cc1)C1CC1; ['Nc1ccc(F)cc1', 'Fc1ccc(I)cc1']; ['O=CC1CC1', 'NC(=O)C1CC1']; [0.996004045, 0.996004045]
-OCCOc1ccc(-c2ccc(F)cc2)cc1; ['O=C1OCCO1', 'OCCO']; ['Oc1ccc(-c2ccc(F)cc2)cc1', 'Oc1ccc(-c2ccc(F)cc2)cc1']; [0.988100886, 0.988100886]
-Fc1ccc(-c2cccc(C3CCNCC3)c2)cc1; ['Brc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1', 'Clc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2ccc(F)cc2)OC1(C)C', 'OB(O)c1ccc(F)cc1', 'OB(O)c1ccc(F)cc1']; [0.999999642, 0.999999642, 0.999999642]
-NC(=O)c1ccc(-c2ccc(F)cc2)cc1; [None]; [None]; [0]
-Fc1ccc(Cc2nccc3ccccc23)cc1; ['Cc1nccc2ccccc12', 'Cc1ccc(F)cc1']; ['Fc1ccc(Br)cc1', 'c1ccc2cnccc2c1']; [0.999421597, 0.999421597]
-C[C@H](O)COc1ccc(-c2ccc(F)cc2)cc1; ['C[C@H]1COC(=O)O1']; ['Oc1ccc(-c2ccc(F)cc2)cc1']; [0.913288236]
-Fc1ccc(-c2ccc(Cl)cc2)cc1; ['Clc1ccc(Br)cc1', 'Clc1ccc(I)cc1', 'Clc1ccc(Br)cc1', 'Fc1ccc(Br)cc1']; ['Fc1ccc(I)cc1', 'Fc1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1', 'OB(O)c1ccc(Cl)cc1']; [0.99931109, 0.99931109, 0.99931109, 0.99931109]
-Fc1ccc(Nc2ccncn2)cc1; ['Nc1ccncn1', 'Clc1ccncn1']; ['OB(O)c1ccc(F)cc1', 'Nc1ccc(F)cc1']; [0.998779118, 0.998779118]
-CN(C)c1ccc(-c2ccc(F)cc2)cc1; ['CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc([Mg]Br)cc1', 'CN(C)c1ccc(Cl)cc1']; ['Fc1ccc(Cl)cc1', 'OB(O)c1ccc(F)cc1', 'Fc1ccc(Cl)cc1', 'Fc1ccc([Mg]Br)cc1']; [0.999452174, 0.999452174, 0.999452174, 0.999452174]
-Cc1cc(-c2ccc(F)cc2)nn1C; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc(F)cc2)cc1; ['CC1(C)OB(c2ccc(F)cc2)OC1(C)C', 'CN', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['CNS(=O)(=O)c1ccc(Br)cc1', 'O=S(=O)(Cl)c1ccc(-c2ccc(F)cc2)cc1', 'OB(O)c1ccc(F)cc1']; [0.999914646, 0.999914646, 0.999914646]
-Fc1ccc(-c2ccc(C(F)(F)F)cc2)cc1; ['FC(F)(F)c1ccc(I)cc1', 'Fc1ccc(I)cc1', 'Fc1ccc(Cl)cc1', 'FC(F)(F)c1ccc(Cl)cc1']; ['OB(O)c1ccc(F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(F)cc1']; [0.999949932, 0.999949932, 0.999949932, 0.999949932]
-Fc1ccc(Cc2ccncc2)cc1; []; []; []
-Oc1ccccc1Cc1ccc(F)cc1; ['Fc1ccc(C[Zn]Cl)cc1']; ['Oc1ccccc1Br']; [0.891193092]
-Cc1nc(C)c(-c2ccc(F)cc2)s1; ['Cc1csc(C)n1']; ['Fc1ccc(Cl)cc1']; [0.992236674]
-Fc1ccc(-c2cnc(Cl)nc2)cc1; ['Clc1ncc(Br)cn1']; ['OB(O)c1ccc(F)cc1']; [0.99868542]
-Fc1ccc(Cc2cccnc2)cc1; ['Brc1cccnc1', 'ClCc1cccnc1', 'Fc1ccc(CBr)cc1']; ['Fc1ccc(CCl)cc1', 'OB(O)c1ccc(F)cc1', 'OB(O)c1cccnc1']; [0.999643564, 0.999643564, 0.999643564]
-Fc1ccc(-n2ccnc2)cc1; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(F)cc1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.999177635, 0.999177635]
-Fc1ccc(-c2cncnc2)cc1; ['Fc1ccc(I)cc1']; ['OB(O)c1cncnc1']; [0.999831319]
-COc1ccc(Cc2ccc(F)cc2)cc1; []; []; []
-OC[C@@H](O)Cc1ccc(F)cc1; [None]; [None]; [0]
-Fc1ccc(-c2cn[nH]c2)cc1; []; []; []
-Fc1ccc(-c2ccc(Br)cc2)cc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1ccc(I)cc1', 'Fc1ccc(Br)cc1', 'Brc1ccc(Br)cc1']; ['Fc1ccc(I)cc1', 'CC1(C)OB(c2ccc(F)cc2)OC1(C)C', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1']; [0.999983907, 0.999983907, 0.999983907, 0.999983907]
-Fc1ccc(-c2c[nH]c3ccccc23)cc1; ['NNc1ccc(F)cc1']; ['c1ccc2[nH]ccc2c1']; [0.927448571]
-Fc1ccc(-c2ccc3c(c2)CCO3)cc1; ['Brc1ccc2c(c1)CCO2', 'Fc1ccc(I)cc1', 'Fc1ccc(Br)cc1', 'Ic1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2']; ['OB(O)c1ccc(F)cc1', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.999977112, 0.999977112, 0.999977112, 0.999977112, 0.999977112]
-COc1ccc(Cl)cc1-c1ccc(F)cc1; ['COc1ccc(Cl)cc1Br']; ['Fc1ccc(Br)cc1']; [0.997288823]
-CC(=O)Nc1cccc(-c2ccc(F)cc2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1', 'Fc1ccc(I)cc1', 'Fc1ccc(Cl)cc1']; [0.999989867, 0.999989867, 0.999989867, 0.999989867, 0.999989867]
-Fc1ccc(-c2ccc[nH]2)cc1; ['Fc1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1']; ['c1cc[nH]c1', 'c1cc[nH]c1']; [0.988289833, 0.988289833]
-Fc1ccc(Cn2ccnc2)cc1; ['Fc1ccc(CCl)cc1', 'Fc1ccc(CBr)cc1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.99720335, 0.99720335]
-Fc1ccc(-c2scc3c2OCCO3)cc1; ['Fc1ccc(I)cc1']; ['c1scc2c1OCCO2']; [0.999997]
-Fc1ccc(-c2cc3ccccc3cn2)cc1; ['Clc1cc2ccccc2cn1', 'C#Cc1ccc(F)cc1']; ['OB(O)c1ccc(F)cc1', 'O=Cc1ccccc1Br']; [0.999992609, 0.999992609]
-COc1cc(-c2ccc(F)cc2)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O']; ['OB(O)c1ccc(F)cc1', 'OB(O)c1ccc(F)cc1', 'OB(O)c1ccc(F)cc1']; [0.999562919, 0.999562919, 0.999562919]
-Fc1ccc(-c2ccc(F)c(F)c2)cc1; ['Fc1ccc(Br)cc1F']; ['Fc1ccccc1']; [0.984676182]
-Fc1ccc(-c2cccc3c2OCO3)cc1; ['Fc1ccc(Br)cc1', 'Fc1ccc(I)cc1']; ['c1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2']; [0.977395236, 0.977395236]
-COCCOc1ccc(F)cc1; ['COCCCl']; ['Oc1ccc(F)cc1']; [0.992343]
-Fc1ccc(-c2cnc3ccccc3c2)cc1; ['Brc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['CC1(C)OB(c2ccc(F)cc2)OC1(C)C', 'Fc1ccc(I)cc1', 'OB(O)c1ccc(F)cc1']; [0.999998927, 0.999998927, 0.999998927]
-Cc1cc(-c2ccc(F)cc2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['OB(O)c1ccc(F)cc1']; [0.99990952]
-CC(C)(C)c1ccc(-c2ccc(F)cc2)cc1; ['CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Cl)cc1']; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(I)cc1', 'OB(O)c1ccc(F)cc1', 'Fc1ccc(Br)cc1', 'Fc1ccc(Cl)cc1', 'OB(O)c1ccc(F)cc1']; [0.999694824, 0.999694824, 0.999694824, 0.999694824, 0.999694824, 0.999694824]
-Fc1ccc(-c2ccco2)cc1; ['Fc1ccc(I)cc1', 'OB(O)c1ccc(F)cc1']; ['OB(O)c1ccco1', 'c1ccoc1']; [0.999899864, 0.999899864]
-CC1(COc2ccc(F)cc2)COC1; ['CC1(CO)COC1']; ['Oc1ccc(F)cc1']; [0.981798708]
-CSc1cccc(-c2ccc(F)cc2)c1; ['CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Cl)c1']; ['Fc1ccc(I)cc1', 'Fc1ccc(Cl)cc1', 'Fc1ccc(Br)cc1']; [0.998901486, 0.998901486, 0.998901486]
-OC[C@H](Cc1ccccc1)c1ccc(F)cc1; [None]; [None]; [0]
-Fc1ccc(-c2ccc(F)cc2Cl)cc1; ['Fc1ccc(I)c(Cl)c1']; ['Fc1ccc(I)cc1']; [0.992572367]
-COc1ccc(-c2ccc(F)cc2)cc1OC; ['COc1ccc(I)cc1OC']; ['Fc1ccc(I)cc1']; [0.989222527]
-O[C@@H]1CC[C@@H](c2ccc(F)cc2)CC1; [None]; [None]; [0]
-Fc1ccc(-c2ncc(Br)cn2)cc1; ['Brc1cnc(Br)nc1']; ['OB(O)c1ccc(F)cc1']; [0.991870284]
-COc1ccc(CNc2ccc(F)cc2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(C=O)cc1']; ['Fc1ccc(I)cc1', 'O=[N+]([O-])c1ccc(F)cc1', 'Nc1ccc(F)cc1']; [0.997507036, 0.997507036, 0.997507036]
-Fc1ccc(-c2ccc(Cl)cc2Cl)cc1; ['Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1', 'Fc1ccc(Cl)cc1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc([Mg]Br)c(Cl)c1']; ['Fc1ccc(I)cc1', 'Fc1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1', 'OB(O)c1ccc(Cl)cc1Cl', 'Fc1ccc([Mg]Br)cc1', 'Fc1ccc(Cl)cc1']; [0.99996531, 0.99996531, 0.99996531, 0.99996531, 0.99996531, 0.99996531]
-Cn1cc(-c2ccc(F)cc2)c(C(F)(F)F)n1; ['Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1ccc(C(F)(F)F)n1']; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(Br)cc1']; [0.999650121, 0.999650121]
-O[C@@H]1CC[C@H](c2ccc(F)cc2)C1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc(F)cc2)c1; ['Cc1cc(C)cc(I)c1']; ['Fc1ccc(I)cc1']; [0.99546]
-CCc1ccc(-c2ccc(F)cc2)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; ['Fc1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1']; [0.998566806, 0.998566806]
-COc1cc(F)c(-c2ccc(F)cc2)cc1OC; ['COc1ccc(F)cc1OC']; ['Fc1ccc(Br)cc1']; [0.96650511]
-Fc1ccc(-c2ccsc2)cc1; ['Brc1ccsc1', 'Brc1ccsc1']; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(Br)cc1']; [0.999890924, 0.999890924]
-COc1ccc2cccc(-c3ccc(F)cc3)c2c1; ['COc1ccc2ccccc2c1']; ['Fc1ccc(Br)cc1']; [0.879586279]
-Cc1cc(Nc2ccc(F)cc2)nn1C; ['Cc1cc(N)nn1C']; ['OB(O)c1ccc(F)cc1']; [0.998236656]
-Oc1ccc2cccc(-c3ccc(F)cc3)c2c1; [None]; [None]; [0]
-COc1cc(-c2ccc(F)cc2)ccc1Cl; ['COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(I)cc1', 'Fc1ccc(Br)cc1']; [0.999853492, 0.999853492, 0.999853492]
-COc1cc(OC)cc(-c2ccc(F)cc2)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1']; ['Fc1ccc(I)cc1', 'Fc1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1', 'OB(O)c1ccc(F)cc1', 'OB(O)c1ccc(F)cc1', 'Fc1ccc(Br)cc1', 'Fc1ccc(I)cc1']; [0.999917388, 0.999917388, 0.999917388, 0.999917388, 0.999917388, 0.999917388, 0.999917388]
-Cc1nc(Nc2ccc(F)cc2)sc1C; ['CC(=O)C(C)Cl', 'CC(=O)C(C)Br']; ['NC(=S)Nc1ccc(F)cc1', 'NC(=S)Nc1ccc(F)cc1']; [0.999606907, 0.999606907]
-Cc1ccc(-c2ccc(F)cc2)o1; ['Cc1ccco1']; ['Nc1ccc(F)cc1']; [0.993376553]
-CCn1cc(-c2ccc(F)cc2)cn1; ['CCn1cc(Br)cn1']; ['OB(O)c1ccc(F)cc1']; [0.999351561]
-Fc1ccc(-c2ccc3cn[nH]c3c2)cc1; ['Brc1ccc2cn[nH]c2c1']; ['OB(O)c1ccc(F)cc1']; [0.999949455]
-COc1cc(-c2ccc(F)cc2)c(OC)cc1Br; ['CC1(C)OB(c2ccc(F)cc2)OC1(C)C']; ['COc1cc(Br)c(OC)cc1Br']; [0.999775]
-COC(=O)Nc1ccc(F)cc1; ['CO']; ['NC(=O)c1ccc(F)cc1']; [0.978179038]
-Fc1ccc(-c2cc3ccccc3o2)cc1; ['C#Cc1ccc(F)cc1', 'Fc1ccc(I)cc1']; ['Oc1ccccc1I', 'OB(O)c1cc2ccccc2o1']; [0.999969125, 0.999969125]
-CC(C)Oc1ccc(F)cc1; ['CC(C)[O-]']; ['Fc1ccc(Br)cc1']; [0.969123363]
-CNC(=O)c1ccc(-c2ccc(F)cc2)cc1; []; []; []
-Fc1ccc(-c2cscn2)cc1; []; []; []
-Fc1ccc(-c2ccc(OC(F)(F)F)cc2)cc1; ['FC(F)(F)Oc1ccc(Br)cc1']; ['Fc1ccc(Br)cc1']; [0.999751866]
-O=C1CCCN1c1cccc(-c2ccc(F)cc2)c1; ['O=C1CCCN1c1cccc(Br)c1']; ['OB(O)c1ccc(F)cc1']; [0.999997854]
-CCc1cccc(-c2ccc(F)cc2)n1; ['CCc1ccccn1']; ['OB(O)c1ccc(F)cc1']; [0.852102578]
-OCCc1ccc(-c2ccc(F)cc2)cc1; ['OB(O)c1ccc(F)cc1', 'C1CO1']; ['OCCc1ccc(Br)cc1', 'Fc1ccc(-c2ccccc2)cc1']; [0.99464947, 0.99464947]
-Fc1ccc(Nc2ccccn2)cc1; ['Fc1ccc(Br)cc1']; ['Nc1ccccn1']; [0.991347969]
-Fc1ccc(Nc2ccc(F)cn2)cc1; ['Fc1ccc(Br)nc1']; ['Nc1ccc(F)cc1']; [0.999419689]
-Cc1ccc(-c2ccc(F)cc2)nc1C; ['CC1(C)COB(c2ccc(F)cc2)OC1']; ['Cc1ccc[n+]([O-])c1C']; [0.999978781]
-N#Cc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['N#Cc1ccc(B(O)O)cc1', 'N#Cc1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.999455273, 0.999455273]
-CCOc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999763072, 0.999763072]
-COc1ncccc1-c1ccc2nc[nH]c(=O)c2c1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999815047]
-COc1cc(N2CCNCC2)ccc1-c1ccc(F)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.999986172, 0.999986172, 0.999986172]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccc(F)cc2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Cl)c1', 'CS(=O)(=O)c1ccc(Cl)c(C(=O)O)c1']; ['O=C(O)c1ccc(F)cc1', 'Fc1ccc(Cl)cc1']; [0.896914959, 0.896914959]
-COc1cc(-c2ccc3nc[nH]c(=O)c3c2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999411702, 0.999411702]
-Cn1cc(-c2ccc3nc[nH]c(=O)c3c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999648333]
-Cc1n[nH]cc1-c1ccc2nc[nH]c(=O)c2c1; ['Cc1n[nH]cc1Br']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.913182735]
-O=c1[nH]cnc2ccc(-c3cccc(O)c3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1cccc(O)c1']; [0.992811263]
-O=c1[nH]cnc2ccc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-Cn1nncc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3nc4ccccc4[nH]3)cc12; [None]; [None]; [0]
-Cc1nn(C)cc1-c1ccc2nc[nH]c(=O)c2c1; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.989935]
-COc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.998447478, 0.998447478]
-Cc1cc(Nc2ccc3nc[nH]c(=O)c3c2)sn1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Nc3ncccn3)cc12; ['Clc1ncccn1', 'CS(=O)(=O)c1ncccn1']; ['Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1']; [0.999932647, 0.999932647]
-NC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999788225, 0.999788225]
-O=C(Nc1ccccc1)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999970794]
-O=c1[nH]cnc2ccc(-c3cccc(F)c3)cc12; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12']; ['O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1cccc(F)c1']; [0.999913931, 0.999913931]
-O=C(Nc1ccc2nc[nH]c(=O)c2c1)C1CC1; ['Nc1ccc2nc[nH]c(=O)c2c1']; ['O=C(Cl)C1CC1']; [0.999996066]
-O=c1[nH]cnc2ccc(-c3ccc(OCCO)cc3)cc12; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999909639]
-O=c1[nH]cnc2ccc(-c3cccc(C4CCNCC4)c3)cc12; ['Brc1cccc(C2CCNCC2)c1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.859657049]
-O=c1[nH]cnc2ccc(Cc3nccc4ccccc34)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc(Cl)cc3)cc12; ['CC1(C)OB(c2ccc(Cl)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)cc2)OC1(C)C']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.999277771, 0.999277771]
-O=c1[nH]cnc2ccc(Nc3ccncn3)cc12; ['Clc1ccncn1']; ['Nc1ccc2nc[nH]c(=O)c2c1']; [0.999820054]
-Cc1cc(-c2ccc3nc[nH]c(=O)c3c2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc(C(F)(F)F)cc3)cc12; ['O=c1[nH]cnc2ccc(I)cc12']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.999895334]
-CN(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999926209]
-CNS(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3nc[nH]c(=O)c3c2)s1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Cc3ccccc3O)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Cc3ccncc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(C[C@H](O)CO)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cnc(Cl)nc3)cc12; ['CC1(C)OB(c2cnc(Cl)nc2)OC1(C)C']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.998556197]
-O=c1[nH]cnc2ccc(Cc3cccnc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cncnc3)cc12; ['CC1(C)OB(c2cncnc2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12']; ['O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1cncnc1']; [0.998649538, 0.998649538]
-O=c1[nH]cnc2ccc(-c3ccc(Br)cc3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1ccc(Br)cc1']; [0.990979731]
-COc1ccc(Cl)cc1-c1ccc2nc[nH]c(=O)c2c1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.998941839, 0.998941839]
-O=c1[nH]cnc2ccc(-n3ccnc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cn[nH]c3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1cn[nH]c1', 'OB(O)c1cn[nH]c1']; [0.999939799, 0.999939799]
-COc1ccc(Cc2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc4c(c3)CCO4)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1ccc2c(c1)CCO2']; [0.999392629]
-O=c1[nH]cnc2ccc(-c3ccc[nH]3)cc12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999297142]
-O=c1[nH]cnc2ccc(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cc4ccccc4cn3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Cn3ccnc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3scc4c3OCCO4)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cccc4c3OCO4)cc12; [None]; [None]; [0]
-COc1cc(-c2ccc3nc[nH]c(=O)c3c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.998432934]
-CC(C)(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.99963069]
-O=c1[nH]cnc2ccc(-c3cnc4ccccc4c3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1cnc2ccccc2c1']; [0.999369204]
-O=c1[nH]cnc2ccc(-c3ccc(F)c(F)c3)cc12; ['O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1ccc(F)c(F)c1']; [0.998214126]
-O=c1[nH]cnc2ccc(-c3ccco3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1ccco1', 'OB(O)c1ccco1']; [0.999766648, 0.999766648]
-CC1(COc2ccc3nc[nH]c(=O)c3c2)COC1; [None]; [None]; [0]
-COCCOc1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-CSc1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['CSc1cccc(B(O)O)c1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.99710983]
-O=c1[nH]cnc2ccc([C@@H]3CC[C@@H](O)CC3)cc12; [None]; [None]; [0]
-Cc1cc(-c2ccc3nc[nH]c(=O)c3c2)nc(N)n1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc(F)cc3Cl)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [0.999800742, 0.999800742]
-COc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.997969329]
-O=c1[nH]cnc2ccc([C@H]3CC[C@@H](O)C3)cc12; [None]; [None]; [0]
-CCc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999941826, 0.999941826, 0.999941826]
-O=c1[nH]cnc2ccc([C@H](CO)Cc3ccccc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccsc3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1ccsc1']; [0.999793351]
-O=c1[nH]cnc2ccc(-c3ccc(Cl)cc3Cl)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl']; [0.999801815, 0.999801815]
-Cc1cc(C)cc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999291897, 0.999291897]
-O=c1[nH]cnc2ccc(-c3ncc(Br)cn3)cc12; [None]; [None]; [0]
-COc1ccc(CNc2ccc3nc[nH]c(=O)c3c2)cc1; ['COc1ccc(C=O)cc1', 'COc1ccc(CN)cc1']; ['Nc1ccc2nc[nH]c(=O)c2c1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.998659849, 0.998659849]
-COc1ccc2cccc(-c3ccc4nc[nH]c(=O)c4c3)c2c1; [None]; [None]; [0]
-COc1cc(-c2ccc3nc[nH]c(=O)c3c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.999962, 0.999962, 0.999962, 0.999962]
-Cn1cc(-c2ccc3nc[nH]c(=O)c3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(F)c(-c2ccc3nc[nH]c(=O)c3c2)cc1OC; [None]; [None]; [0]
-Cc1cc(Nc2ccc3nc[nH]c(=O)c3c2)nn1C; ['Cc1cc(N)nn1C']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.995979905]
-Cc1ccc(-c2ccc3nc[nH]c(=O)c3c2)o1; ['Cc1ccc(B(O)O)o1']; ['O=c1[nH]cnc2ccc(I)cc12']; [0.999450862]
-O=c1[nH]cnc2ccc(-c3cccc4ccc(O)cc34)cc12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['COc1cc(Br)cc(OC)c1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.863723218]
-O=c1[nH]cnc2ccc(-c3ccc4cn[nH]c4c3)cc12; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999981761]
-CCn1cc(-c2ccc3nc[nH]c(=O)c3c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(Br)cn1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999960542, 0.999960542]
-O=c1[nH]cnc2ccc(-c3cc4ccccc4o3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1cc2ccccc2o1']; [0.999919057]
-Cc1nc(Nc2ccc3nc[nH]c(=O)c3c2)sc1C; ['Cc1nc(Br)sc1C']; ['Nc1ccc2nc[nH]c(=O)c2c1']; [0.999964118]
-COC(=O)Nc1ccc2nc[nH]c(=O)c2c1; ['COC(=O)Cl']; ['Nc1ccc2nc[nH]c(=O)c2c1']; [0.999537468]
-O=c1[nH]cnc2ccc(-c3ccc(OC(F)(F)F)cc3)cc12; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999997616, 0.999997616]
-COc1cc(-c2ccc3nc[nH]c(=O)c3c2)c(OC)cc1Br; [None]; [None]; [0]
-CC(C)Oc1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-CCc1cccc(-c2ccc3nc[nH]c(=O)c3c2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999748766]
-Cc1ccc(-c2ccc3nc[nH]c(=O)c3c2)nc1C; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc(CCO)cc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cscn3)cc12; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Nc3ccccn3)cc12; ['Clc1ccccn1', 'Nc1ccccn1']; ['Nc1ccc2nc[nH]c(=O)c2c1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.998851538, 0.998851538]
-O=C1CCCN1c1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['O=C1CCCN1c1cccc(Br)c1']; ['O=c1[nH]cnc2ccc(I)cc12']; [0.999912262]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccncc3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1ccncc1']; [0.999835849]
-O=c1[nH]cnc2ccc(-c3cccc4ncccc34)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1cccc2ncccc12']; [0.997196913]
-O=c1[nH]cnc2ccc(Nc3ccc(F)cn3)cc12; ['Fc1ccc(Cl)nc1']; ['Nc1ccc2nc[nH]c(=O)c2c1']; [0.999376237]
-O=c1[nH]cnc2ccc(-c3c(F)cccc3F)cc12; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1c(F)cccc1F', 'OB(O)c1c(F)cccc1F']; [0.999353468, 0.999353468]
-O=c1[nH]cnc2ccc(-c3ccc(O)cc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3n[nH]c4ccccc34)cc12; ['Brc1n[nH]c2ccccc12']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.857892096]
-O=c1[nH]cnc2ccc(-c3ccc(Cl)c(O)c3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3c(Cl)cccc3Cl)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.999704301, 0.999704301]
-O=c1[nH]cnc2ccc(Oc3ccc(F)cc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc(O)cc3Cl)cc12; [None]; [None]; [0]
-Cc1ncc(-c2ccc3nc[nH]c(=O)c3c2)[nH]1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccccc3Cl)cc12; ['O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1ccccc1Cl']; [0.796377242]
-Nc1nccc(-c2ccc3nc[nH]c(=O)c3c2)n1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc([C@@H]3C[C@H](O)C3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cc[nH]c3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cnccn3)cc12; [None]; [None]; [0]
-N#Cc1cnc(-c2ccc3nc[nH]c(=O)c3c2)cn1; ['N#Cc1cnc(Cl)cn1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.796392918]
-COC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)o1; ['COC(=O)c1ccco1']; ['Nc1ccc2nc[nH]c(=O)c2c1']; [0.865715921]
-N#Cc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cn1; ['N#Cc1ccc(B(O)O)cn1', 'N#Cc1ccc(Br)cn1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.998289168, 0.998289168]
-O=c1[nH]cnc2ccc(-c3ccoc3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2ccoc2)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1ccoc1', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccoc1']; [0.996637225, 0.996637225, 0.996637225]
-COc1cc(CCc2ccc3nc[nH]c(=O)c3c2)ccc1O; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cccc(Br)c3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1cccc(Br)c1']; [0.955698371]
-O=c1[nH]cnc2ccc(CCCO)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(COc3cccc(Cl)c3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc(O)cc3O)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cccs3)cc12; ['O=c1[nH]cnc2ccc(I)cc12']; ['OB(O)c1cccs1']; [0.999908805]
-COC(=O)c1ccc(Cl)c(-c2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc(F)c(Cl)c3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1']; [0.99998188, 0.99998188]
-O=c1[nH]cnc2ccc(-c3ccncn3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(COc3ccccc3Cl)cc12; [None]; [None]; [0]
-Cc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1C; ['Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1C', 'Cc1ccc(B(O)O)cc1C']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.999496818, 0.999496818]
-Cc1ccc(O)cc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc([C@H](CO)c3ccccc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cnc(O)c(Cl)c3)cc12; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cc(O)ccc3Cl)cc12; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['NC(=O)Nc1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.85382843]
-Cc1nc2ccc(-c3ccc4nc[nH]c(=O)c4c3)cc2[nH]1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Cn3ccccc3=O)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3nc4ccccc4s3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['c1ccc2scnc2c1']; [0.996195912]
-O=c1[nH]cnc2ccc(-c3cncc(O)c3)cc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999850512, 0.999850512]
-NC(=O)[C@H]1CC[C@@H](c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
-O=C1Cc2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; ['O=c1[nH]cnc2ccc(Cl)cc12']; [0.999273]
-Cc1cc(O)ccc1-c1ccc2nc[nH]c(=O)c2c1; ['Cc1cc(O)ccc1B(O)O']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.911970377]
-C[C@H](CC(N)=O)c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc2nc[nH]c(=O)c2c1; ['Cc1cccc(C)c1B(O)O', 'Cc1cccc(C)c1B(O)O']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.999857187, 0.999857187]
-CCc1cc(O)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cc(Cl)c(O)c(Cl)c3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3nccs3)cc12; [None]; [None]; [0]
-Nc1cc(-c2ccc3nc[nH]c(=O)c3c2)[nH]n1; [None]; [None]; [0]
-CCc1sccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Nc3ccncc3)cc12; ['Clc1ccncc1', 'Brc1ccncc1', 'Nc1ccncc1', 'Fc1ccncc1']; ['Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Nc1ccc2nc[nH]c(=O)c2c1']; [0.998449564, 0.998449564, 0.998449564, 0.998449564]
-O=c1[nH]c2ccc(-c3ccc4nc[nH]c(=O)c4c3)cc2[nH]1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc4c(c3)CCN4)cc12; ['Brc1ccc2c(c1)CCN2']; ['O=c1[nH]cnc2ccc(I)cc12']; [0.997838914]
-O=c1[nH]cnc2ccc(-c3ccc(Br)cc3F)cc12; ['O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1ccc(Br)cc1F']; [0.911423326]
-Cc1ccc(-c2ccc3nc[nH]c(=O)c3c2)c(C)n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cc(O)cc(Br)c3)cc12; [None]; [None]; [0]
-Cc1csc(-c2ccc3nc[nH]c(=O)c3c2)n1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4nc[nH]c(=O)c4c3)cc2o1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cc(F)c(O)c(F)c3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Oc3ccc(F)cc3F)cc12; ['Fc1ccc(Cl)c(F)c1', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['O=c1[nH]cnc2ccc(O)cc12', 'Oc1ccc(F)cc1F']; [0.999792874, 0.999792874]
-O=c1[nH]cnc2ccc(-c3cnco3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(OCc3ccccc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(NCc3c(F)cccc3Cl)cc12; ['Fc1cccc(Cl)c1CBr', 'NCc1c(F)cccc1Cl']; ['Nc1ccc2nc[nH]c(=O)c2c1', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.998988092, 0.998988092]
-O=c1[nH]cnc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Cc3ccc(F)cc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Oc3ccccc3F)cc12; ['Fc1ccccc1Cl', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['O=c1[nH]cnc2ccc(O)cc12', 'Oc1ccccc1F']; [0.996731877, 0.996731877]
-CCOc1ccccc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cc[nH]n1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccnc2ccccc12; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccccc1F; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccccc1Cl; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccnc1; [None]; [None]; [0]
-N#Cc1ccccc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccccc1OC(F)(F)F; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccccc1Br; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1c(F)cccc1F; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccncn1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnn(CCO)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc2c(c1)CCC2; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2n[nH]cc2N)c(Br)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnc2ccccn12; [None]; [None]; [0]
-Cc1nc(C)c(-c2n[nH]cc2N)s1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnco1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnc2cccnn12; [None]; [None]; [0]
-Cc1nc(N)sc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(Cl)c1Cl; [None]; [None]; [0]
-Cc1ncc(-c2n[nH]cc2N)[nH]1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-COc1cccc(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-Nc1nccc(-c2n[nH]cc2N)n1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(O)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cncc2ccccc12; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(Cl)s1; [None]; [None]; [0]
-Cn1cncc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccs1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(CO)c1; [None]; [None]; [0]
-Cn1cc(-c2n[nH]cc2N)cn1; [None]; [None]; [0]
-N#CCCc1cccc(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccco1; [None]; [None]; [0]
-Nc1c[nH]nc1CC[C@@H](O)CO; [None]; [None]; [0]
-CC[C@H](CO)c1n[nH]cc1N; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
-COc1ccc(-c2n[nH]cc2N)cc1Cl; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnoc1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]cc2N)no1; [None]; [None]; [0]
-CCCn1cc(-c2n[nH]cc2N)cn1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc2c1C(=O)CC2; [None]; [None]; [0]
-Nc1c[nH]nc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2n[nH]cc2N)CC1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2n[nH]cc2N)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2n[nH]cc2N)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1n[nH]cc1N; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1n[nH]cc1N; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccnc1O; [None]; [None]; [0]
-COc1ccc(-c2n[nH]cc2N)c(OC)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
-Nc1nnc(-c2n[nH]cc2N)s1; [None]; [None]; [0]
-Nc1ncc(-c2n[nH]cc2N)s1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1nc2ccccc2s1; [None]; [None]; [0]
-Cc1cncc(-c2n[nH]cc2N)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc2ccsc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2n[nH]cc2N)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-Nc1c[nH]nc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-CCOc1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-N#Cc1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1n[nH]cc1N; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-COc1ncccc1-c1n[nH]cc1N; [None]; [None]; [0]
-Cn1nncc1-c1n[nH]cc1N; [None]; [None]; [0]
-Cc1nn(C)cc1-c1n[nH]cc1N; [None]; [None]; [0]
-COc1cc(-c2n[nH]cc2N)cc(OC)c1OC; [None]; [None]; [0]
-COc1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Cc1cc(Nc2n[nH]cc2N)sn1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1Nc1ncccn1; [None]; [None]; [0]
-Nc1c[nH]nc1Cc1nccc2ccccc12; [None]; [None]; [0]
-Nc1c[nH]nc1NC(=O)C1CC1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(F)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(Cl)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(OCCO)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1Nc1ccncn1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]cc2N)nn1C; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1Cc1ccccc1O; [None]; [None]; [0]
-CN(C)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1Cc1ccncc1; [None]; [None]; [0]
-Nc1c[nH]nc1Cc1cccnc1; [None]; [None]; [0]
-Nc1c[nH]nc1C[C@H](O)CO; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnc(Cl)nc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cncnc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(Br)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-n1ccnc1; [None]; [None]; [0]
-COc1ccc(Cc2n[nH]cc2N)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cn[nH]c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc[nH]1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
-Nc1c[nH]nc1Cn1ccnc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cc2ccccc2cn1; [None]; [None]; [0]
-COc1cc(-c2n[nH]cc2N)ccc1O; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc2c1OCO2; [None]; [None]; [0]
-Nc1c[nH]nc1-c1scc2c1OCCO2; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(F)c(F)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnc2ccccc2c1; [None]; [None]; [0]
-COCCOc1n[nH]cc1N; [None]; [None]; [0]
-CC1(COc2n[nH]cc2N)COC1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]cc2N)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-Nc1c[nH]nc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-Nc1c[nH]nc1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-Nc1c[nH]nc1[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(F)cc1Cl; [None]; [None]; [0]
-CCc1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ncc(Br)cn1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccsc1; [None]; [None]; [0]
-COc1ccc(-c2n[nH]cc2N)cc1OC; [None]; [None]; [0]
-COc1ccc(CNc2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
-Cn1cc(-c2n[nH]cc2N)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3n[nH]cc3N)c2c1; [None]; [None]; [0]
-Cc1nc(Nc2n[nH]cc2N)sc1C; [None]; [None]; [0]
-COc1cc(F)c(-c2n[nH]cc2N)cc1OC; [None]; [None]; [0]
-COc1cc(-c2n[nH]cc2N)ccc1Cl; [None]; [None]; [0]
-COc1cc(-c2n[nH]cc2N)c(OC)cc1Br; [None]; [None]; [0]
-Cc1cc(Nc2n[nH]cc2N)nn1C; [None]; [None]; [0]
-Cc1ccc(-c2n[nH]cc2N)o1; [None]; [None]; [0]
-CC(C)Oc1n[nH]cc1N; [None]; [None]; [0]
-COc1cc(OC)cc(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
-CCn1cc(-c2n[nH]cc2N)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cc2ccccc2o1; [None]; [None]; [0]
-COC(=O)Nc1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cscn1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-CCc1cccc(-c2n[nH]cc2N)n1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
-Cc1ccc(-c2n[nH]cc2N)nc1C; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(CCO)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1Nc1ccc(F)cn1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1Nc1ccccn1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C', 'N#Cc1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999999523, 0.999999523]
-CS(=O)(=O)c1ccc(Cl)c(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-CCOc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CCOc1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.99999404]
-COc1ncccc1-c1ccc2c(N)n[nH]c2c1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999994874]
-CS(=O)(=O)c1cccc(-c2ccc3c(N)n[nH]c3c2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999999762, 0.999999762]
-COc1cc(-c2ccc3c(N)n[nH]c3c2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999991775, 0.999991775]
-Cn1cc(-c2ccc3c(N)n[nH]c3c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999999762, 0.999999762]
-Cc1n[nH]cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cccc(O)c3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1cccc(O)c1']; [0.999986529]
-Nc1n[nH]c2cc(-c3cnc4cccnn34)ccc12; [None]; [None]; [0]
-Cn1nncc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.999999404, 0.999999404]
-Nc1n[nH]c2cc(-c3nc4ccccc4[nH]3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(C(=O)Nc4ccccc4)cc3)ccc12; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999999881]
-Cc1nn(C)cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; []; []; []
-Nc1n[nH]c2cc(-c3ccc(Cl)cc3)ccc12; []; []; []
-Nc1n[nH]c2cc(Cc3nccc4ccccc34)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(Nc3ncccn3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(CCCO)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cccc(F)c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(OCCO)cc3)ccc12; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999999762]
-Nc1n[nH]c2cc(-c3cccc(C4CCNCC4)c3)ccc12; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(N)n[nH]c3c2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999999881, 0.999999881]
-Nc1n[nH]c2cc(-c3ccc(C(F)(F)F)cc3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cnc(Cl)nc3)ccc12; ['CC1(C)OB(c2cnc(Cl)nc2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'OB(O)c1cnc(Cl)nc1']; [0.999997377, 0.999997377]
-Cc1nc(C)c(-c2ccc3c(N)n[nH]c3c2)s1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cncnc3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1cncnc1']; [0.999752581]
-Nc1n[nH]c2cc(-c3cn[nH]c3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1cn[nH]c1']; [0.999994755]
-COc1ccc(Cl)cc1-c1ccc2c(N)n[nH]c2c1; ['COc1ccc(Cl)cc1B(O)O']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999934196]
-Nc1n[nH]c2cc(-c3ccc(Br)cc3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc[nH]3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3c[nH]c4ccccc34)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc4c(c3)CCO4)ccc12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc3c(N)n[nH]c3c2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999990821]
-COc1cc(-c2ccc3c(N)n[nH]c3c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999997377]
-Nc1n[nH]c2cc(-c3cc4ccccc4cn3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3scc4c3OCCO4)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cnc4ccccc4c3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1cnc2ccccc2c1']; [0.999950051]
-Nc1n[nH]c2cc(-c3ccc(F)c(F)c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccco3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1ccco1']; [0.999987125]
-Nc1n[nH]c2cc(-c3cccc4c3OCO4)ccc12; [None]; [None]; [0]
-CSc1cccc(-c2ccc3c(N)n[nH]c3c2)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999999046, 0.999999046]
-Nc1n[nH]c2cc([C@@H]3CC[C@@H](O)CC3)ccc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(F)cc3Cl)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1ccc(F)cc1Cl']; [0.999894261]
-Cc1cc(-c2ccc3c(N)n[nH]c3c2)nc(N)n1; [None]; [None]; [0]
-Nc1n[nH]c2cc([C@H]3CC[C@@H](O)C3)ccc12; [None]; [None]; [0]
-CC[C@@H](CO)c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ncc(Br)cn3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccsc3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1ccsc1']; [0.999999046]
-Cn1cc(-c2ccc3c(N)n[nH]c3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccc4c(N)n[nH]c4c3)c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(Cl)cc3Cl)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cccc4ccc(O)cc34)ccc12; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc3c(N)n[nH]c3c2)c1; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999995828, 0.999995828]
-COc1cc(-c2ccc3c(N)n[nH]c3c2)ccc1Cl; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(N)n[nH]c3c2)o1; [None]; [None]; [0]
-COc1cc(F)c(-c2ccc3c(N)n[nH]c3c2)cc1OC; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc3c(N)n[nH]c3c2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999997854, 0.999997854]
-Nc1n[nH]c2cc(-c3ccc4cn[nH]c4c3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999967813]
-CNC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999999642, 0.999999642]
-COc1cc(-c2ccc3c(N)n[nH]c3c2)c(OC)cc1Br; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(OC(F)(F)F)cc3)ccc12; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [1.0, 1.0]
-Nc1n[nH]c2cc(-c3cc4ccccc4o3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1cc2ccccc2o1']; [0.999991655]
-CCc1cccc(-c2ccc3c(N)n[nH]c3c2)n1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(CCO)cc3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OCCc1ccc(Br)cc1']; [0.959044397]
-Cc1ccc(-c2ccc3c(N)n[nH]c3c2)nc1C; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cscn3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(O)cc3)ccc12; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'OB(O)c1ccc(O)cc1']; [0.999991775, 0.999991775]
-COc1cc(N2CCNCC2)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccncc3)ccc12; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'OB(O)c1ccncc1']; [0.999999523, 0.999999523]
-Nc1n[nH]c2cc(-c3cccc(N4CCCC4=O)c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(Cl)c(O)c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3n[nH]c4ccccc34)ccc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cccc4ncccc34)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1cccc2ncccc12']; [0.999964714]
-Nc1n[nH]c2cc(-c3c(Cl)cccc3Cl)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999733865]
-Nc1n[nH]c2cc(Oc3ccc(F)cc3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3c(F)cccc3F)ccc12; [None]; [None]; [0]
-Cc1ncc(-c2ccc3c(N)n[nH]c3c2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2ccc3c(N)n[nH]c3c2)n1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(O)cc3Cl)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccccc3Cl)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1ccccc1Cl']; [0.999453723]
-Nc1n[nH]c2cc(-c3cc[nH]c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc([C@@H]3C[C@H](O)C3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cnccn3)ccc12; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)o1; [None]; [None]; [0]
-N#Cc1cnc(-c2ccc3c(N)n[nH]c3c2)cn1; [None]; [None]; [0]
-COc1cc(CCc2ccc3c(N)n[nH]c3c2)ccc1O; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3c(N)n[nH]c3c2)cn1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccoc3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1ccoc1']; [0.999995351]
-Nc1n[nH]c2cc(-c3cccc(Br)c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cccs3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(COc3cccc(Cl)c3)ccc12; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccncn3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(O)cc3O)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(F)c(Cl)c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc([C@H](CO)c3ccccc3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(COc3ccccc3Cl)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cc(O)ccc3Cl)ccc12; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1C; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(Cn3ccccc3=O)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cnc(O)c(Cl)c3)ccc12; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999999404, 0.999999404]
-Cc1nc2ccc(-c3ccc4c(N)n[nH]c4c3)cc2[nH]1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc4c(c3)CC(=O)N4)ccc12; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999993801]
-Nc1n[nH]c2cc(-c3cncc(O)c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3nc4ccccc4s3)ccc12; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ccc3c(N)n[nH]c3c2)CC1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccc2c(N)n[nH]c2c1; ['Cc1cc(O)ccc1B(O)O']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.982057]
-Nc1n[nH]c2cc(-n3ccnc3)ccc12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cc(Cl)c(O)c(Cl)c3)ccc12; [None]; [None]; [0]
-CCc1sccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3nccs3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc4c(c3)CCN4)ccc12; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(N)n[nH]c3c2)[nH]n1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc4[nH]c(=O)[nH]c4c3)ccc12; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(Nc3ccncc3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(Br)cc3F)ccc12; [None]; [None]; [0]
-Cc1csc(-c2ccc3c(N)n[nH]c3c2)n1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cc(O)cc(Br)c3)ccc12; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(N)n[nH]c3c2)c(C)n1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cnco3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cc(F)c(O)c(F)c3)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4c(N)n[nH]c4c3)cc2o1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc4c(=O)[nH][nH]c4c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(Oc3ccc(F)cc3F)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(OCc3ccccc3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(Oc3ccccc3F)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(NCc3c(F)cccc3Cl)ccc12; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12', 'N#Cc1ccc(I)cc1', 'N#Cc1ccc(Br)cc1', 'N#Cc1ccc(Cl)cc1']; ['N#Cc1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999991536, 0.999991536, 0.999991536, 0.999991536]
-Nc1n[nH]c2cc(Cc3ccc(F)cc3)ccc12; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'Cc1n[nH]cc1Br']; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1', 'c1cn2ccnc2cn1']; [0.999998212, 0.999998212]
-COc1ncccc1-c1cnc2cnccn12; ['COc1ncccc1Br']; ['c1cn2ccnc2cn1']; [0.961759627]
-COc1cc(-c2cnc3cnccn23)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999938726, 0.999938726]
-CCOc1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['CCOc1ccc(B(O)O)cc1']; [0.99998]
-CS(=O)(=O)c1cccc(-c2cnc3cnccn23)c1; ['CS(=O)(=O)c1cccc(Br)c1']; ['c1cn2ccnc2cn1']; [0.999995828]
-Cn1nncc1-c1cnc2cnccn12; [None]; [None]; [0]
-Cn1cc(-c2cnc3cnccn23)cn1; ['Brc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Cn1cc(Br)cn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1', 'c1cn2ccnc2cn1']; [0.999999166, 0.999999166, 0.999999166]
-Oc1cccc(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Oc1cccc(Br)c1']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'c1cn2ccnc2cn1']; [0.999996543, 0.999996543, 0.999996543]
-c1cnn2c(-c3cnc4cnccn34)cnc2c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cnc2cnccn12; ['Cc1nn(C)cc1Br']; ['c1cn2ccnc2cn1']; [0.999997377]
-COc1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3cnc4cnccn34)nc2c1; [None]; [None]; [0]
-Cc1cc(Nc2cnc3cnccn23)sn1; [None]; [None]; [0]
-c1cnc(Nc2cnc3cnccn23)nc1; ['Brc1cnc2cnccn12']; ['Nc1ncccn1']; [0.999539733]
-NC(=O)c1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999958754]
-Fc1cccc(-c2cnc3cnccn23)c1; ['Fc1cccc(Br)c1', 'Fc1cccc(I)c1', 'Fc1cccc(Cl)c1']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999994278, 0.999994278, 0.999994278]
-c1ccc2c(Cc3cnc4cnccn34)nccc2c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-Clc1ccc(-c2cnc3cnccn23)cc1; ['Clc1ccc(I)cc1']; ['c1cn2ccnc2cn1']; [0.999987721]
-OCCOc1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-O=C(Nc1cnc2cnccn12)C1CC1; ['Brc1cnc2cnccn12']; ['NC(=O)C1CC1']; [0.990143657]
-c1cc(Nc2cnc3cnccn23)ncn1; [None]; [None]; [0]
-Cc1cc(-c2cnc3cnccn23)nn1C; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cnc3cnccn23)cc1; ['FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(Cl)cc1']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999997497, 0.999997497]
-c1cc(-c2cnc3cnccn23)cc(C2CCNCC2)c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnc3cnccn23)s1; ['Brc1cnc2cnccn12']; ['Cc1csc(C)n1']; [0.999189556]
-C[C@H](O)COc1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3cnccn23)cc1; ['CN(C)c1ccc(Br)cc1']; ['c1cn2ccnc2cn1']; [0.999934435]
-Oc1ccccc1Cc1cnc2cnccn12; [None]; [None]; [0]
-c1cc(Cc2cnc3cnccn23)ccn1; [None]; [None]; [0]
-Clc1ncc(-c2cnc3cnccn23)cn1; ['Clc1ncc(Br)cn1']; ['c1cn2ccnc2cn1']; [0.99986124]
-c1cncc(Cc2cnc3cnccn23)c1; [None]; [None]; [0]
-c1cn2c(-n3ccnc3)cnc2cn1; ['Brc1cnc2cnccn12']; ['c1c[nH]cn1']; [0.972969115]
-OC[C@@H](O)Cc1cnc2cnccn12; [None]; [None]; [0]
-Brc1ccc(-c2cnc3cnccn23)cc1; ['Brc1ccc(I)cc1', 'Brc1cnc2cnccn12', 'Clc1ccc(Br)cc1']; ['c1cn2ccnc2cn1', 'OB(O)c1ccc(Br)cc1', 'c1cn2ccnc2cn1']; [0.999979615, 0.999979615, 0.999979615]
-c1cn2c(-c3cncnc3)cnc2cn1; ['Brc1cncnc1']; ['c1cn2ccnc2cn1']; [0.999802768]
-COc1ccc(Cl)cc1-c1cnc2cnccn12; ['COc1ccc(Cl)cc1I']; ['c1cn2ccnc2cn1']; [0.991593838]
-c1cn2c(-c3cn[nH]c3)cnc2cn1; ['Brc1cnc2cnccn12', 'Brc1cn[nH]c1']; ['OB(O)c1cn[nH]c1', 'c1cn2ccnc2cn1']; [0.999794543, 0.999794543]
-c1cn2c(-c3ccc4c(c3)CCO4)cnc2cn1; ['Brc1ccc2c(c1)CCO2']; ['c1cn2ccnc2cn1']; [0.999978423]
-c1c[nH]c(-c2cnc3cnccn23)c1; [None]; [None]; [0]
-COc1ccc(Cc2cnc3cnccn23)cc1; [None]; [None]; [0]
-c1ccc2c(-c3cnc4cnccn34)c[nH]c2c1; ['c1ccc2[nH]ccc2c1']; ['c1cn2ccnc2cn1']; [0.823073924]
-c1ccc2cc(-c3cnc4cnccn34)ncc2c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12']; ['CC(=O)Nc1cccc(B(O)O)c1']; [0.999978185]
-c1cc2c(c(-c3cnc4cnccn34)c1)OCO2; [None]; [None]; [0]
-c1cn2c(-c3scc4c3OCCO4)cnc2cn1; [None]; [None]; [0]
-c1cn2c(Cn3ccnc3)cnc2cn1; [None]; [None]; [0]
-c1ccc2ncc(-c3cnc4cnccn34)cc2c1; ['Brc1cnc2ccccc2c1']; ['c1cn2ccnc2cn1']; [0.999705374]
-CC(C)(C)c1ccc(-c2cnc3cnccn23)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999992967, 0.999992967]
-COc1cc(-c2cnc3cnccn23)ccc1O; ['Brc1cnc2cnccn12']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; [0.999998093]
-c1coc(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12']; ['OB(O)c1ccco1']; [0.99967134]
-Fc1ccc(-c2cnc3cnccn23)cc1F; ['Fc1ccc(Br)cc1F']; ['c1cn2ccnc2cn1']; [0.999997]
-CC1(COc2cnc3cnccn23)COC1; ['Brc1cnc2cnccn12']; ['CC1(CO)COC1']; [0.997678578]
-CSc1cccc(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12', 'CSc1cccc(Br)c1']; ['CSc1cccc(B(O)O)c1', 'c1cn2ccnc2cn1']; [0.999851584, 0.999851584]
-COCCOc1cnc2cnccn12; ['Brc1cnc2cnccn12']; ['COCCO']; [0.99944073]
-O[C@@H]1CC[C@@H](c2cnc3cnccn23)CC1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3cnccn23)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999996781, 0.999996781]
-Cc1cc(-c2cnc3cnccn23)nc(N)n1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2cnc3cnccn23)C1; [None]; [None]; [0]
-COc1ccc(-c2cnc3cnccn23)cc1OC; ['COc1ccc(Br)cc1OC']; ['c1cn2ccnc2cn1']; [0.999844193]
-CCc1ccc(-c2cnc3cnccn23)cc1; ['CCc1ccc(Br)cc1', 'CCc1ccc(Cl)cc1']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999868631, 0.999868631]
-OC[C@H](Cc1ccccc1)c1cnc2cnccn12; [None]; [None]; [0]
-c1cn2c(-c3ccsc3)cnc2cn1; ['Brc1ccsc1']; ['c1cn2ccnc2cn1']; [0.999411225]
-Clc1ccc(-c2cnc3cnccn23)c(Cl)c1; ['Brc1cnc2cnccn12']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.999897361]
-Cc1cc(C)cc(-c2cnc3cnccn23)c1; ['Cc1cc(C)cc(Br)c1', 'Cc1cc(C)cc(Cl)c1']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999824107, 0.999824107]
-Brc1cnc(-c2cnc3cnccn23)nc1; [None]; [None]; [0]
-COc1ccc(CNc2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['COc1ccc(CN)cc1']; [0.999311]
-Cn1cc(-c2cnc3cnccn23)c(C(F)(F)F)n1; ['Cn1cc(Br)c(C(F)(F)F)n1']; ['c1cn2ccnc2cn1']; [0.999994159]
-COc1ccc2cccc(-c3cnc4cnccn34)c2c1; [None]; [None]; [0]
-COc1cc(-c2cnc3cnccn23)ccc1Cl; ['Brc1cnc2cnccn12', 'COc1cc(Br)ccc1Cl']; ['COc1cc(B(O)O)ccc1Cl', 'c1cn2ccnc2cn1']; [0.999998331, 0.999998331]
-Oc1ccc2cccc(-c3cnc4cnccn34)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cnc3cnccn23)cc1OC; [None]; [None]; [0]
-Cc1ccc(-c2cnc3cnccn23)o1; ['Brc1cnc2cnccn12']; ['Cc1ccc(B(O)O)o1']; [0.998697519]
-Cc1cc(Nc2cnc3cnccn23)nn1C; ['Brc1cnc2cnccn12']; ['Cc1cc(N)nn1C']; [0.999189198]
-Cc1nc(Nc2cnc3cnccn23)sc1C; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc3cnccn23)c1; ['COc1cc(Br)cc(OC)c1']; ['c1cn2ccnc2cn1']; [0.999686837]
-c1cn2c(-c3ccc4cn[nH]c4c3)cnc2cn1; ['Brc1cnc2cnccn12']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999992847]
-CCn1cc(-c2cnc3cnccn23)cn1; ['Brc1cnc2cnccn12', 'CCn1cc(Br)cn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'c1cn2ccnc2cn1']; [0.999972701, 0.999972701]
-COc1cc(-c2cnc3cnccn23)c(OC)cc1Br; [None]; [None]; [0]
-CC(C)Oc1cnc2cnccn12; ['Brc1cnc2cnccn12']; ['CC(C)O']; [0.999740422]
-c1ccc2oc(-c3cnc4cnccn34)cc2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cnc3cnccn23)cc1; ['FC(F)(F)Oc1ccc(Br)cc1']; ['c1cn2ccnc2cn1']; [0.999999881]
-COC(=O)Nc1cnc2cnccn12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['CNC(=O)c1ccc(B(O)O)cc1']; [0.999885082]
-CCc1cccc(-c2cnc3cnccn23)n1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3cnccn23)nc1C; [None]; [None]; [0]
-c1cn2c(-c3cscn3)cnc2cn1; [None]; [None]; [0]
-OCCc1ccc(-c2cnc3cnccn23)cc1; ['OCCc1ccc(Br)cc1']; ['c1cn2ccnc2cn1']; [0.992667139]
-c1ccc(Nc2cnc3cnccn23)nc1; ['Brc1cnc2cnccn12']; ['Nc1ccccn1']; [0.999864578]
-COc1cc(N2CCNCC2)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cnc3cnccn23)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnc3cnccn23)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['c1cn2ccnc2cn1']; [0.999998093]
-c1cc(-c2cnc3cnccn23)ccn1; ['Brc1ccncc1']; ['c1cn2ccnc2cn1']; [0.999518037]
-Fc1ccc(Nc2cnc3cnccn23)nc1; ['Brc1cnc2cnccn12']; ['Nc1ccc(F)cn1']; [0.99993515]
-c1cc(-c2cnc3cnccn23)c2cccnc2c1; ['Brc1cccc2ncccc12']; ['c1cn2ccnc2cn1']; [0.996468663]
-Oc1ccc(-c2cnc3cnccn23)cc1; ['Oc1ccc(Br)cc1']; ['c1cn2ccnc2cn1']; [0.996819735]
-Fc1cccc(F)c1-c1cnc2cnccn12; ['Fc1cccc(F)c1Cl', 'Fc1cccc(F)c1I']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999924541, 0.999924541]
-c1ccc2c(-c3cnc4cnccn34)n[nH]c2c1; [None]; [None]; [0]
-Fc1ccc(Oc2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['Oc1ccc(F)cc1']; [0.99975425]
-Oc1cc(-c2cnc3cnccn23)ccc1Cl; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'Clc1cccc(Cl)c1Br']; ['OB(O)c1c(Cl)cccc1Cl', 'c1cn2ccnc2cn1']; [0.99991405, 0.99991405]
-Oc1ccc(-c2cnc3cnccn23)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2cnc3cnccn23)n1; [None]; [None]; [0]
-Cc1ncc(-c2cnc3cnccn23)[nH]1; [None]; [None]; [0]
-Clc1ccccc1-c1cnc2cnccn12; ['Clc1ccccc1Br', 'Clc1ccccc1I']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999880314, 0.999880314]
-O[C@H]1C[C@@H](c2cnc3cnccn23)C1; [None]; [None]; [0]
-c1cn2c(-c3cc[nH]c3)cnc2cn1; [None]; [None]; [0]
-c1cnc(-c2cnc3cnccn23)cn1; [None]; [None]; [0]
-N#Cc1cnc(-c2cnc3cnccn23)cn1; [None]; [None]; [0]
-c1cn2c(-c3ccoc3)cnc2cn1; ['Brc1ccoc1']; ['c1cn2ccnc2cn1']; [0.999991179]
-COc1cc(CCc2cnc3cnccn23)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnc3cnccn23)o1; [None]; [None]; [0]
-Brc1cccc(-c2cnc3cnccn23)c1; ['Brc1cccc(I)c1', 'Brc1cnc2cnccn12', 'Brc1cccc(Br)c1']; ['c1cn2ccnc2cn1', 'OB(O)c1cccc(Br)c1', 'c1cn2ccnc2cn1']; [0.999944, 0.999944, 0.999944]
-Clc1cccc(OCc2cnc3cnccn23)c1; [None]; [None]; [0]
-c1csc(-c2cnc3cnccn23)c1; ['Brc1cccs1']; ['c1cn2ccnc2cn1']; [0.983092487]
-N#Cc1ccc(-c2cnc3cnccn23)cn1; ['Brc1cnc2cnccn12']; ['N#Cc1ccc(B(O)O)cn1']; [0.999998689]
-Oc1ccc(-c2cnc3cnccn23)c(O)c1; [None]; [None]; [0]
-c1cc(-c2cnc3cnccn23)ncn1; [None]; [None]; [0]
-OCCCc1cnc2cnccn12; [None]; [None]; [0]
-Clc1ccccc1OCc1cnc2cnccn12; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cnc2cnccn12; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnc3cnccn23)c1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3cnccn23)cc1Cl; ['Fc1ccc(Br)cc1Cl', 'Fc1ccc(Cl)cc1Cl']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999999642, 0.999999642]
-Cc1ccc(O)cc1-c1cnc2cnccn12; [None]; [None]; [0]
-Cc1ccc(-c2cnc3cnccn23)cc1C; ['Cc1ccc(I)cc1C', 'Cc1ccc(Cl)cc1C']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999785483, 0.999785483]
-Oc1ccc(Cl)c(-c2cnc3cnccn23)c1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnc2cnccn12; [None]; [None]; [0]
-O=c1ccccn1Cc1cnc2cnccn12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999904633]
-Oc1ncc(-c2cnc3cnccn23)cc1Cl; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc4cnccn34)cc2[nH]1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cnc4cnccn34)ccc2N1; ['Brc1cnc2cnccn12', 'O=C1Cc2cc(Br)ccc2N1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'c1cn2ccnc2cn1']; [0.999964595, 0.999964595]
-NC(=O)Nc1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-c1ccc2sc(-c3cnc4cnccn34)nc2c1; [None]; [None]; [0]
-Oc1cncc(-c2cnc3cnccn23)c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cnc3cnccn23)CC1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnc2cnccn12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cnc2cnccn12; ['Cc1cccc(C)c1Br', 'Cc1cccc(C)c1I']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.998710513, 0.998710513]
-CCc1sccc1-c1cnc2cnccn12; [None]; [None]; [0]
-c1cn2c(-c3nccs3)cnc2cn1; [None]; [None]; [0]
-c1cn2c(-c3ccc4c(c3)CCN4)cnc2cn1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3cnc4cnccn34)cc2[nH]1; ['O=c1[nH]c2ccc(Br)cc2[nH]1']; ['c1cn2ccnc2cn1']; [0.999928355]
-Oc1c(Cl)cc(-c2cnc3cnccn23)cc1Cl; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cnc2cnccn12; ['Fc1cc(Br)ccc1Br']; ['c1cn2ccnc2cn1']; [0.999502659]
-Cn1ncc(N)c1-c1cnc2cnccn12; [None]; [None]; [0]
-Nc1cc(-c2cnc3cnccn23)[nH]n1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2cnc3cnccn23)c1; ['Oc1cc(Br)cc(Br)c1']; ['c1cn2ccnc2cn1']; [0.980660737]
-c1cc(Nc2cnc3cnccn23)ccn1; ['Brc1cnc2cnccn12']; ['Nc1ccncc1']; [0.999463618]
-Cc1csc(-c2cnc3cnccn23)n1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3cnccn23)c(C)n1; ['Cc1ccc(Br)c(C)n1']; ['c1cn2ccnc2cn1']; [0.996988833]
-c1cn2c(-c3cnco3)cnc2cn1; [None]; [None]; [0]
-Oc1c(F)cc(-c2cnc3cnccn23)cc1F; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc4cnccn34)cc2o1; [None]; [None]; [0]
-Fc1ccc(Oc2cnc3cnccn23)c(F)c1; ['Brc1cnc2cnccn12']; ['Oc1ccc(F)cc1F']; [0.999995351]
-c1ccc(COc2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['OCc1ccccc1']; [0.997001588]
-O=c1[nH][nH]c2cc(-c3cnc4cnccn34)ccc12; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1cnc2cnccn12; ['Brc1cnc2cnccn12']; ['NCc1c(F)cccc1Cl']; [1.0]
-Fc1ccccc1Oc1cnc2cnccn12; ['Brc1cnc2cnccn12']; ['Oc1ccccc1F']; [0.999692559]
-Fc1ccc(Cc2cnc3cnccn23)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-CCOc1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-N#Cc1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Cn1nncc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-COc1ncccc1-c1cc(N)n[nH]1; ['COc1ncccc1B(O)O']; ['Nc1cc(Br)[nH]n1']; [0.996961653]
-COc1cc(-c2cc(N)n[nH]2)cc(OC)c1OC; []; []; []
-Cc1nn(C)cc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)n[nH]2)cc1; []; []; []
-Cn1cc(-c2cc(N)n[nH]2)cn1; ['Cn1cc(B(O)O)cn1']; ['Nc1cc(Br)[nH]n1']; [0.974190354]
-Nc1cc(-c2cnc3cccnn23)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cccc(O)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2nc3ccccc3[nH]2)[nH]n1; [None]; [None]; [0]
-Nc1cc(Nc2ncccn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cccc(F)c2)[nH]n1; []; []; []
-NC(=O)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(Cc2nccc3ccccc23)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Cl)cc2)[nH]n1; []; []; []
-Nc1cc(-c2ccc(OCCO)cc2)[nH]n1; ['Nc1cc(-c2ccc(F)cc2)[nH]n1']; ['OCCO']; [0.952711642]
-Nc1cc(CCCO)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cccc(C3CCNCC3)c2)[nH]n1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)n[nH]2)nn1C; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(F)(F)F)cc2)[nH]n1; []; []; []
-CNS(=O)(=O)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cnc(Cl)nc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cncnc2)[nH]n1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc(N)n[nH]2)s1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Br)cc2)[nH]n1; []; []; []
-COc1ccc(Cl)cc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c3ccccc23)[nH]n1; []; []; []
-Nc1cc(-c2cn[nH]c2)[nH]n1; ['Nc1cc(Br)[nH]n1']; ['OB(O)c1cn[nH]c1']; [0.999195635]
-Nc1cc(-c2ccc[nH]2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CCO3)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccc3cn2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(N)n[nH]2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1cc(Br)[nH]n1']; [0.999339759]
-COc1cc(-c2cc(N)n[nH]2)ccc1O; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)c(F)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cccc3c2OCO3)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2scc3c2OCCO3)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cnc3ccccc3c2)[nH]n1; ['Nc1cc(Br)[nH]n1']; ['OB(O)c1cnc2ccccc2c1']; [0.995013893]
-CSc1cccc(-c2cc(N)n[nH]2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccco2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)cc2Cl)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)n[nH]2)nc(N)n1; [None]; [None]; [0]
-Nc1cc([C@@H]2CC[C@@H](O)CC2)[nH]n1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)n[nH]2)cc1OC; []; []; []
-CC[C@@H](CO)c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc([C@H]2CC[C@@H](O)C2)[nH]n1; [None]; [None]; [0]
-CCc1ccc(-c2cc(N)n[nH]2)cc1; []; []; []
-Nc1cc(-c2ncc(Br)cn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccsc2)[nH]n1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)n[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Cl)cc2Cl)[nH]n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc(N)n[nH]3)c2c1; [None]; [None]; [0]
-Nc1cc(-c2cccc3ccc(O)cc23)[nH]n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc(N)n[nH]2)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)n[nH]2)ccc1Cl; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)n[nH]2)o1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(N)n[nH]2)c1; []; []; []
-COc1cc(F)c(-c2cc(N)n[nH]2)cc1OC; [None]; [None]; [0]
-Nc1cc(-c2ccc3cn[nH]c3c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(OC(F)(F)F)cc2)[nH]n1; []; []; []
-CNC(=O)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-COc1cc(-c2cc(N)n[nH]2)c(OC)cc1Br; [None]; [None]; [0]
-CCc1cccc(-c2cc(N)n[nH]2)n1; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccc3o2)[nH]n1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)n[nH]2)nc1C; [None]; [None]; [0]
-Nc1cc(-c2ccc(CCO)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cscn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(O)cc2)[nH]n1; []; []; []
-COc1cc(N2CCNCC2)ccc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cccc(N3CCCC3=O)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccncc2)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Cl)c(O)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cccc3ncccc23)[nH]n1; ['Nc1cc(Br)[nH]n1']; ['OB(O)c1cccc2ncccc12']; [0.998951912]
-Nc1cc(-c2n[nH]c3ccccc23)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2c(Cl)cccc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2c(F)cccc2F)[nH]n1; [None]; [None]; [0]
-Nc1cc(Oc2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
-Cc1ncc(-c2cc(N)n[nH]2)[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(O)cc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccnc(N)n2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccccc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cc[nH]c2)[nH]n1; [None]; [None]; [0]
-Nc1cc([C@@H]2C[C@H](O)C2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cnccn2)[nH]n1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cc(N)n[nH]2)o1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)n[nH]2)ccc1O; [None]; [None]; [0]
-N#Cc1cnc(-c2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-Nc1cc(-c2cccc(Br)c2)[nH]n1; []; []; []
-N#Cc1ccc(-c2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccoc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cccs2)[nH]n1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1cc(COc2cccc(Cl)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)c(Cl)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccncn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(O)cc2O)[nH]n1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)n[nH]2)cc1C; []; []; []
-Nc1cc([C@H](CO)c2ccccc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cc(O)ccc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(COc2ccccc2Cl)[nH]n1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cnc(O)c(Cl)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(Cn2ccccc2=O)[nH]n1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cncc(O)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CC(=O)N3)[nH]n1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc(N)n[nH]3)cc2[nH]1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cc(N)n[nH]1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2nc3ccccc3s2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-n2ccnc2)[nH]n1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2nccs2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cc(Cl)c(O)c(Cl)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cc(N)n[nH]2)[nH]n1; [None]; [None]; [0]
-CCc1sccc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Br)cc2F)[nH]n1; [None]; [None]; [0]
-Nc1cc(Nc2ccncc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CCN3)[nH]n1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)n[nH]2)c(C)n1; [None]; [None]; [0]
-Nc1cc(-c2cc(O)cc(Br)c2)[nH]n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Cc1csc(-c2cc(N)n[nH]2)n1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc(N)n[nH]3)cc2o1; [None]; [None]; [0]
-Nc1cc(-c2cc(F)c(O)c(F)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(OCc2ccccc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cnco2)[nH]n1; [None]; [None]; [0]
-Nc1cc(Oc2ccc(F)cc2F)[nH]n1; [None]; [None]; [0]
-Nc1cc(Cc2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(=O)[nH][nH]c3c2)[nH]n1; [None]; [None]; [0]
-CCOc1ccc(Nc2nccs2)cc1; ['Brc1nccs1']; ['CCOc1ccc(N)cc1']; [0.980980456]
-Nc1cc(NCc2c(F)cccc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(Oc2ccccc2F)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(Nc2nccs2)c1; ['Brc1nccs1', 'CS(=O)(=O)c1cccc(Br)c1']; ['CS(=O)(=O)c1cccc(N)c1', 'Nc1nccs1']; [0.999939203, 0.999939203]
-Cc1n[nH]cc1Nc1nccs1; [None]; [None]; [0]
-N#Cc1ccc(Nc2nccs2)cc1; ['CCOC(Cl)CCl']; ['N#Cc1ccc(NC(N)=S)cc1']; [0.999974966]
-COc1ncccc1Nc1nccs1; ['COc1ncccc1N']; ['Clc1nccs1']; [0.998953104]
-COc1cc(Nc2nccs2)cc(OC)c1OC; ['CCOC(CCl)OCC']; ['COc1cc(NC(N)=S)cc(OC)c1OC']; [0.999835491]
-Cn1nncc1Nc1nccs1; [None]; [None]; [0]
-c1cnn2c(Nc3nccs3)cnc2c1; ['Brc1cnc2cccnn12']; ['Nc1nccs1']; [0.999998331]
-Cn1cc(Nc2nccs2)cn1; ['Brc1nccs1']; ['Cn1cc(N)cn1']; [0.996436954]
-Oc1cccc(Nc2nccs2)c1; ['Clc1nccs1']; ['Nc1cccc(O)c1']; [0.986950457]
-NC(=O)c1ccc(Nc2nccs2)cc1; ['Clc1nccs1']; ['NC(=O)c1ccc(N)cc1']; [0.998757601]
-c1ccc2[nH]c(Nc3nccs3)nc2c1; ['Brc1nccs1']; ['Nc1nc2ccccc2[nH]1']; [0.991905689]
-Cc1nn(C)cc1Nc1nccs1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Nc2nccs2)cc1; ['Brc1nccs1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.99993217]
-c1ccc2c(CNc3nccs3)nccc2c1; ['Clc1nccs1']; ['NCc1nccc2ccccc12']; [0.999966621]
-COc1ccc(Nc2nccs2)cc1; ['CCOC(CCl)OCC', 'Brc1nccs1']; ['COc1ccc(NC(N)=S)cc1', 'COc1ccc(N)cc1']; [0.999857068, 0.999857068]
-OCCCNc1nccs1; ['Clc1nccs1']; ['NCCCO']; [0.999848127]
-Clc1ccc(Nc2nccs2)cc1; ['CCOC(CCl)OCC', 'Brc1nccs1']; ['NC(=S)Nc1ccc(Cl)cc1', 'Nc1ccc(Cl)cc1']; [0.999916077, 0.999916077]
-c1cc(Nc2nccs2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-c1cnc(NNc2nccs2)nc1; [None]; [None]; [0]
-Fc1cccc(Nc2nccs2)c1; []; []; []
-CNS(=O)(=O)c1ccc(Nc2nccs2)cc1; ['Brc1nccs1']; ['CNS(=O)(=O)c1ccc(N)cc1']; [0.998528719]
-Cc1cc(Nc2nccs2)nn1C; [None]; [None]; [0]
-FC(F)(F)c1ccc(Nc2nccs2)cc1; ['Clc1nccs1']; ['Nc1ccc(C(F)(F)F)cc1']; [0.994406581]
-OCCOc1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
-Clc1ncc(Nc2nccs2)cn1; ['Clc1ncc(I)cn1', 'Brc1nccs1', 'Clc1nccs1']; ['Nc1nccs1', 'Nc1cnc(Cl)nc1', 'Nc1cnc(Cl)nc1']; [0.992088795, 0.992088795, 0.992088795]
-Cc1nc(C)c(Nc2nccs2)s1; [None]; [None]; [0]
-Brc1ccc(Nc2nccs2)cc1; ['NC(=S)Nc1ccc(Br)cc1', 'CCOC(CCl)OCC', 'CCOC(Cl)CCl', 'Clc1nccs1', 'Brc1nccs1', 'Brc1ccc(Br)cc1']; ['O=CCCl', 'NC(=S)Nc1ccc(Br)cc1', 'NC(=S)Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1nccs1']; [0.999985456, 0.999985456, 0.999985456, 0.999985456, 0.999985456, 0.999985456]
-COc1ccc(Cl)cc1Nc1nccs1; []; []; []
-C[C@H](O)COc1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2nccs2)cc1; ['CN(C)c1ccc(NC(N)=S)cc1']; ['O=CCCl']; [0.999807298]
-c1ncc(Nc2nccs2)cn1; ['Brc1cncnc1']; ['Nc1nccs1']; [0.990617335]
-c1ccc2c(Nc3nccs3)c[nH]c2c1; [None]; [None]; [0]
-c1ccc2cc(Nc3nccs3)ncc2c1; ['Clc1nccs1', 'Brc1nccs1', 'Clc1cc2ccccc2cn1']; ['Nc1cc2ccccc2cn1', 'Nc1cc2ccccc2cn1', 'Nc1nccs1']; [0.999885082, 0.999885082, 0.999885082]
-c1c[nH]c(Nc2nccs2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(Nc2nccs2)c1; ['Brc1nccs1', 'CC(=O)Nc1cccc(N)c1']; ['CC(=O)Nc1cccc(N)c1', 'Clc1nccs1']; [0.999695897, 0.999695897]
-c1csc(Nc2cn[nH]c2)n1; [None]; [None]; [0]
-c1csc(Nc2ccc3c(c2)CCO3)n1; ['Brc1nccs1']; ['Nc1ccc2c(c1)CCO2']; [0.999056041]
-COc1cc(Nc2nccs2)ccc1O; ['Brc1nccs1']; ['COc1cc(N)ccc1O']; [0.996836901]
-Fc1ccc(Nc2nccs2)cc1F; ['Brc1nccs1', 'Fc1ccc(Br)cc1F']; ['Nc1ccc(F)c(F)c1', 'Nc1nccs1']; [0.999843597, 0.999843597]
-c1cc(Nc2nccs2)c2c(c1)OCO2; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2nccs2)cc1; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(N)cc1']; ['Nc1nccs1', 'Clc1nccs1']; [0.999387741, 0.999387741]
-c1csc(Nc2scc3c2OCCO3)n1; [None]; [None]; [0]
-c1coc(Nc2nccs2)c1; [None]; [None]; [0]
-c1ccc2ncc(Nc3nccs3)cc2c1; ['Clc1nccs1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1nccs1']; [0.995587587, 0.995587587]
-CSc1cccc(Nc2nccs2)c1; ['Brc1nccs1']; ['CSc1cccc(N)c1']; [0.995964527]
-Cc1cc(Nc2nccs2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Nc1nccs1']; [0.99786073]
-CC[C@@H](CO)Nc1nccs1; ['CC[C@H](N)CO']; ['Clc1nccs1']; [0.999675393]
-O[C@@H]1CC[C@@H](Nc2nccs2)CC1; ['Clc1nccs1']; ['N[C@H]1CC[C@H](O)CC1']; [0.997881711]
-Fc1ccc(Nc2nccs2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1']; ['Nc1nccs1']; [0.999979377]
-Brc1cnc(Nc2nccs2)nc1; ['Clc1ncc(Br)cn1']; ['Nc1nccs1']; [0.99982053]
-COc1ccc(Nc2nccs2)cc1OC; ['COc1ccc(N)cc1OC']; ['Clc1nccs1']; [0.995246351]
-c1csc(Nc2ccsc2)n1; ['Brc1ccsc1']; ['Nc1nccs1']; [0.982394755]
-Clc1ccc(Nc2nccs2)c(Cl)c1; []; []; []
-Cc1cc(C)cc(Nc2nccs2)c1; ['Cc1cc(C)cc(Br)c1']; ['Nc1nccs1']; [0.999929547]
-O[C@@H]1CC[C@H](Nc2nccs2)C1; [None]; [None]; [0]
-CCc1ccc(Nc2nccs2)cc1; ['CCOC(CCl)OCC', 'CCOC(Cl)CCl', 'CCc1ccc(N)cc1']; ['CCc1ccc(NC(N)=S)cc1', 'CCc1ccc(NC(N)=S)cc1', 'Clc1nccs1']; [0.999926209, 0.999926209, 0.999926209]
-COc1ccc2cccc(Nc3nccs3)c2c1; [None]; [None]; [0]
-COc1cc(Nc2nccs2)ccc1Cl; ['Brc1nccs1', 'COc1cc(Br)ccc1Cl', 'COc1cc(N)ccc1Cl']; ['COc1cc(N)ccc1Cl', 'Nc1nccs1', 'Clc1nccs1']; [0.999834418, 0.999834418, 0.999834418]
-Cn1cc(Nc2nccs2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Oc1ccc2cccc(Nc3nccs3)c2c1; ['Clc1nccs1']; ['Nc1cccc2ccc(O)cc12']; [0.999035597]
-COc1cc(F)c(Nc2nccs2)cc1OC; [None]; [None]; [0]
-COc1cc(Nc2nccs2)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['Nc1nccs1']; [0.934807062]
-COc1cc(Nc2nccs2)cc(OC)c1; ['COc1cc(I)cc(OC)c1']; ['Nc1nccs1']; [0.992039323]
-Cc1ccc(Nc2nccs2)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2nccs2)cc1; ['CNC(=O)c1ccc(N)cc1']; ['Clc1nccs1']; [0.998861074]
-c1csc(Nc2ccc3cn[nH]c3c2)n1; ['NC(=S)Nc1ccc2cn[nH]c2c1']; ['O=CCCl']; [0.999815166]
-c1ccc2oc(Nc3nccs3)cc2c1; [None]; [None]; [0]
-CCc1cccc(Nc2nccs2)n1; ['CCc1cccc(N)n1']; ['Clc1nccs1']; [0.99984]
-FC(F)(F)Oc1ccc(Nc2nccs2)cc1; ['NC(=S)Nc1ccc(OC(F)(F)F)cc1', 'Clc1nccs1', 'Brc1nccs1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['O=CCCl', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1nccs1']; [0.999947786, 0.999947786, 0.999947786, 0.999947786]
-c1csc(Nc2cscn2)n1; ['Brc1cscn1']; ['Nc1nccs1']; [0.99855119]
-O=C1CCCN1c1cccc(Nc2nccs2)c1; ['Brc1nccs1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.999695063]
-Cc1ccc(Nc2nccs2)nc1C; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(Nc2nccs2)c1; [None]; [None]; [0]
-OCCc1ccc(Nc2nccs2)cc1; ['Brc1nccs1']; ['Nc1ccc(CCO)cc1']; [0.975012541]
-COc1cc(N2CCNCC2)ccc1Nc1nccs1; [None]; [None]; [0]
-CNC(=O)c1ccccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-O[C@H]1C[C@@H](Cc2ccc3c(c2)OCO3)C1; [None]; [None]; [0]
-c1ccc2c(Cc3ccc4c(c3)OCO4)ccnc2c1; ['CC(=O)OCc1ccc2c(c1)OCO2']; ['OB(O)c1ccnc2ccccc12']; [0.927336812]
-CCOc1ccccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-FC(F)(F)c1cccc(Cc2ccc3c(c2)OCO3)c1; ['ClCc1ccc2c(c1)OCO2', 'FC(F)(F)c1cccc(CCl)c1', 'ClCc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1ccc2c(c1)OCO2', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(CCl)c1']; [0.999849558, 0.999849558, 0.999849558, 0.999849558]
-Clc1ccccc1Cc1ccc2c(c1)OCO2; ['Brc1ccc2c(c1)OCO2', 'Clc1ccccc1CBr', 'ClCc1ccccc1Cl', 'ClCc1ccc2c(c1)OCO2', 'ClCc1ccc2c(c1)OCO2', 'ClCc1ccc2c(c1)OCO2']; ['ClCc1ccccc1Cl', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccccc1Br', 'OB(O)c1ccccc1Cl', 'Clc1ccccc1Cl']; [0.997054, 0.997054, 0.997054, 0.997054, 0.997054, 0.997054]
-c1cncc(Cc2ccc3c(c2)OCO3)c1; ['BrCc1cccnc1']; ['Brc1ccc2c(c1)OCO2']; [0.953378618]
-Brc1ccccc1Cc1ccc2c(c1)OCO2; ['Br[Zn]Cc1ccccc1Br']; ['Brc1ccc2c(c1)OCO2']; [0.934349954]
-FC(F)(F)Oc1ccccc1Cc1ccc2c(c1)OCO2; ['FC(F)(F)Oc1ccccc1CCl', 'ClCc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999325395, 0.999325395]
-c1cc(Cc2ccc3c(c2)OCO3)n[nH]1; [None]; [None]; [0]
-Fc1ccccc1Cc1ccc2c(c1)OCO2; ['Brc1ccc2c(c1)OCO2', 'Fc1ccccc1CBr', 'ClCc1ccc2c(c1)OCO2', 'Fc1ccccc1CCl']; ['Fc1ccccc1CCl', 'OB(O)c1ccc2c(c1)OCO2', 'Fc1ccccc1Br', 'c1ccc2c(c1)OCO2']; [0.999646902, 0.999646902, 0.999646902, 0.999646902]
-N#Cc1ccccc1Cc1ccc2c(c1)OCO2; ['N#Cc1ccccc1CBr']; ['OB(O)c1ccc2c(c1)OCO2']; [0.99298358]
-NC(=O)c1ccccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-Fc1cccc(F)c1Cc1ccc2c(c1)OCO2; ['Fc1cccc(F)c1CBr', 'ClCc1ccc2c(c1)OCO2', 'Br[Mg]c1ccc2c(c1)OCO2', 'Fc1cccc(F)c1CBr', 'Fc1cccc(F)c1CCl']; ['OB(O)c1ccc2c(c1)OCO2', 'Fc1cccc(F)c1', 'O=Cc1c(F)cccc1F', 'c1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2']; [0.999823034, 0.999823034, 0.999823034, 0.999823034, 0.999823034]
-c1ccc(Cn2cc(Cc3ccc4c(c3)OCO4)cn2)cc1; [None]; [None]; [0]
-OCCn1cc(Cc2ccc3c(c2)OCO3)cn1; [None]; [None]; [0]
-c1ccc(-c2ncc(Cc3ccc4c(c3)OCO4)[nH]2)cc1; [None]; [None]; [0]
-c1cc(Cc2ccc3c(c2)OCO3)ncn1; [None]; [None]; [0]
-Cc1ccc(Cc2ccc3c(c2)OCO3)c(Br)c1; ['Br[Mg]c1ccc2c(c1)OCO2']; ['Cc1ccc(C=O)c(Br)c1']; [0.874919176]
-O=C(Nc1cccc(Cc2ccc3c(c2)OCO3)c1)c1ccccc1; [None]; [None]; [0]
-c1cc2c(cc1Cc1ccc3c(c1)OCO3)CCC2; [None]; [None]; [0]
-c1ncc(Cc2ccc3c(c2)OCO3)o1; [None]; [None]; [0]
-Cc1nc(C)c(Cc2ccc3c(c2)OCO3)s1; [None]; [None]; [0]
-c1ccn2c(Cc3ccc4c(c3)OCO4)cnc2c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1Cc1ccc2c(c1)OCO2; ['ClCc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Clc1cccc(Cl)c1CBr', 'ClCc1ccc2c(c1)OCO2', 'ClCc1c(Cl)cccc1Cl']; ['Clc1cccc(Cl)c1Br', 'ClCc1c(Cl)cccc1Cl', 'c1ccc2c(c1)OCO2', 'Clc1cccc(Cl)c1', 'c1ccc2c(c1)OCO2']; [0.999204695, 0.999204695, 0.999204695, 0.999204695, 0.999204695]
-Cc1nc(N)sc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-c1cnn2c(Cc3ccc4c(c3)OCO4)cnc2c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(Cc2ccc3c(c2)OCO3)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['ClCc1ccc2c(c1)OCO2']; [0.990469694]
-Clc1cccc(Cc2ccc3c(c2)OCO3)c1Cl; ['Clc1cccc(CBr)c1Cl']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999138951]
-Cc1ncc(Cc2ccc3c(c2)OCO3)[nH]1; [None]; [None]; [0]
-COc1cccc(Cc2ccc3c(c2)OCO3)c1; ['COc1cccc(CCl)c1']; ['c1ccc2c(c1)OCO2']; [0.961514235]
-c1ccc2c(c1)ncn2Cc1ccc2c(c1)OCO2; ['ClCc1ccc2c(c1)OCO2']; ['c1ccc2[nH]cnc2c1']; [0.999851584]
-c1ccc2cc(Cc3ccc4c(c3)OCO4)ccc2c1; ['BrCc1ccc2ccccc2c1', 'BrCc1ccc2ccccc2c1']; ['OB(O)c1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2']; [0.996348202, 0.996348202]
-Nc1nccc(Cc2ccc3c(c2)OCO3)n1; [None]; [None]; [0]
-c1ccc2c(Cc3ccc4c(c3)OCO4)cncc2c1; ['ClCc1ccc2c(c1)OCO2']; ['c1ccc2cnccc2c1']; [0.921669304]
-Clc1ccc(Cc2ccc3c(c2)OCO3)s1; [None]; [None]; [0]
-OCc1cccc(Cc2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
-Cn1cncc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-c1coc(Cc2ccc3c(c2)OCO3)c1; ['ClCc1ccc2c(c1)OCO2']; ['c1ccoc1']; [0.995553076]
-Cn1cc(Cc2ccc3c(c2)OCO3)cn1; [None]; [None]; [0]
-Oc1cccc(Cc2ccc3c(c2)OCO3)c1; ['ClCc1ccc2c(c1)OCO2']; ['Oc1cccc(Br)c1']; [0.95475173]
-c1csc(Cc2ccc3c(c2)OCO3)c1; []; []; []
-CCC(=O)Nc1ccc(Cc2ccc3c(c2)OCO3)cc1; ['CCC(=O)Nc1ccccc1']; ['ClCc1ccc2c(c1)OCO2']; [0.857537091]
-Fc1ccc(Cc2ccc3c(c2)OCO3)c(C(F)(F)F)c1; ['ClCc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'ClCc1ccc2c(c1)OCO2']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(CBr)c(C(F)(F)F)c1', 'Fc1cccc(C(F)(F)F)c1']; [0.999932289, 0.999932289, 0.999932289]
-COc1ccc(Cc2ccc3c(c2)OCO3)cc1Cl; ['COc1ccc(CBr)cc1Cl', 'COc1ccccc1Cl']; ['OB(O)c1ccc2c(c1)OCO2', 'ClCc1ccc2c(c1)OCO2']; [0.982024908, 0.982024908]
-Cc1cc(Cc2ccc3c(c2)OCO3)no1; ['Brc1ccc2c(c1)OCO2']; ['Cc1cc(C)on1']; [0.977407098]
-N#CCCc1cccc(Cc2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
-CCCn1cc(Cc2ccc3c(c2)OCO3)cn1; [None]; [None]; [0]
-O=C1CCc2cccc(Cc3ccc4c(c3)OCO4)c21; [None]; [None]; [0]
-CC(=O)Nc1cccc(Cc2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
-C[S@](=O)c1ccc(Cc2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
-c1cc2c(cc1Cc1cnoc1)OCO2; [None]; [None]; [0]
-O=c1[nH]ccc2oc(Cc3ccc4c(c3)OCO4)cc12; [None]; [None]; [0]
-c1cc2c(Cc3ccc4c(c3)OCO4)c[nH]c2cn1; ['OCc1ccc2c(c1)OCO2']; ['c1cc2cc[nH]c2cn1']; [0.952838063]
-N#CCC(=O)N1CCC[C@@H](Cc2ccc3c(c2)OCO3)C1; [None]; [None]; [0]
-CC(C)(N)c1ccc(Cc2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](Cc2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-c1ccc2c(Cc3ccc4c(c3)OCO4)c[nH]c2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Cc2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
-N#C[C@H]1CC[C@H](Cc2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cc2ccc3c(c2)OCO3)cc1; ['Brc1ccc2c(c1)OCO2', 'CS(=O)(=O)c1ccc(Br)cc1']; ['CS(=O)(=O)c1ccc(CCl)cc1', 'ClCc1ccc2c(c1)OCO2']; [0.994407535, 0.994407535]
-c1ccc2c(c1)cnn2Cc1ccc2c(c1)OCO2; ['OCc1ccc2c(c1)OCO2']; ['c1ccc2[nH]ncc2c1']; [0.998912334]
-CC(C)(C)NS(=O)(=O)c1ccc(Cc2ccc3c(c2)OCO3)cc1; ['CC(C)(C)NS(=O)(=O)c1ccccc1']; ['ClCc1ccc2c(c1)OCO2']; [0.854849637]
-Oc1cccc2c1cnn2Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-COc1ccc(Cc2ccc3c(c2)OCO3)c(OC)c1; ['COc1cccc(OC)c1', 'COc1ccc(CO)c(OC)c1']; ['OCc1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2']; [0.977105498, 0.977105498]
-NC(=O)c1c(F)cccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-Oc1ccc2nc(Cc3ccc4c(c3)OCO4)[nH]c2c1; [None]; [None]; [0]
-c1cn(Cc2ccc3c(c2)OCO3)cn1; ['ClCc1ccc2c(c1)OCO2']; ['c1c[nH]cn1']; [0.999974728]
-Nc1ncc(Cc2ccc3c(c2)OCO3)s1; [None]; [None]; [0]
-Oc1ncccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-Cc1cncc(Cc2ccc3c(c2)OCO3)n1; ['Cc1cncc(Br)n1']; ['Cl[Zn]Cc1ccc2c(c1)OCO2']; [0.935314953]
-COc1cccc(F)c1Cc1ccc2c(c1)OCO2; ['COc1cccc(F)c1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1']; ['ClCc1ccc2c(c1)OCO2', 'Cl[Zn]Cc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2']; [0.997372031, 0.997372031, 0.997372031]
-O=C(c1ccccc1)c1ccc(Cc2ccc3c(c2)OCO3)cc1; ['ClCc1ccc2c(c1)OCO2', 'CC(=O)OCc1ccc2c(c1)OCO2']; ['O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.992042124, 0.992042124]
-Nc1nnc(Cc2ccc3c(c2)OCO3)s1; ['N#CCc1ccc2c(c1)OCO2']; ['NNC(N)=S']; [0.999869466]
-c1cc(Cc2ccc3c(c2)OCO3)c2sccc2c1; [None]; [None]; [0]
-c1ccc2sc(Cc3ccc4c(c3)OCO4)nc2c1; ['N#CCc1ccc2c(c1)OCO2']; ['Nc1ccccc1S']; [0.999428213]
-c1cnc2c(Cc3ccc4c(c3)OCO4)c[nH]c2c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](Cc2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc3c(c2)OCO3)c1; ['COc1ccc(OC)cc1', 'COc1ccc(OC)c(CCl)c1']; ['ClCc1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2']; [0.988671541, 0.988671541]
-CNC(=O)c1ccccc1-c1ccc2c(c1)OCO2; ['CNC(=O)c1ccccc1']; ['Clc1ccc2c(c1)OCO2']; [0.928417146]
-c1ccc2[nH]c(C3CCN(Cc4ccc5c(c4)OCO5)CC3)nc2c1; ['O=Cc1ccc2c(c1)OCO2']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999886513]
-COc1ccc(C#N)cc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ccc3c(c2)OCO3)c1; []; []; []
-Cc1cc(C)cc(Cc2ccc3c(c2)OCO3)c1; []; []; []
-O[C@H]1C[C@@H](c2ccc3c(c2)OCO3)C1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc2c(c1)OCO2; ['Brc1ccc2c(c1)OCO2']; ['CCOc1ccccc1Br']; [0.990237057]
-FC(F)(F)c1cccc(-c2ccc3c(c2)OCO3)c1; ['Brc1ccc2c(c1)OCO2']; ['FC(F)(F)c1ccccc1']; [0.969227731]
-c1ccc2c(-c3ccc4c(c3)OCO4)ccnc2c1; ['Clc1ccnc2ccccc12']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999833345]
-Clc1ccccc1-c1ccc2c(c1)OCO2; ['Clc1ccccc1I', 'Clc1ccc2c(c1)OCO2']; ['c1ccc2c(c1)OCO2', 'Clc1ccccc1[Mg]Br']; [0.997538567, 0.997538567]
-c1cc(-c2ccc3c(c2)OCO3)n[nH]1; ['CC(=O)c1ccc2c(c1)OCO2']; ['COC(OC)N(C)C']; [0.999907732]
-Fc1ccccc1-c1ccc2c(c1)OCO2; ['Brc1ccc2c(c1)OCO2', 'Fc1ccccc1Br', 'Brc1ccc2c(c1)OCO2', 'Br[Mg]c1ccc2c(c1)OCO2', 'Br[Mg]c1ccc2c(c1)OCO2']; ['OB(O)c1ccccc1F', 'OB(O)c1ccc2c(c1)OCO2', 'Fc1ccccc1Br', 'Fc1ccccc1Cl', 'Fc1ccccc1F']; [0.99992156, 0.99992156, 0.99992156, 0.99992156, 0.99992156]
-c1cncc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1ccc2c(c1)OCO2; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'FC(F)(F)Oc1ccccc1Br', 'Brc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'FC(F)(F)Oc1ccccc1Cl']; ['FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2']; [0.999883652, 0.999883652, 0.999883652, 0.999883652, 0.999883652, 0.999883652]
-N#Cc1ccccc1-c1ccc2c(c1)OCO2; ['Brc1ccc2c(c1)OCO2', 'N#Cc1ccccc1Br']; ['N#Cc1ccccc1Br', 'c1ccc2c(c1)OCO2']; [0.960409701, 0.960409701]
-Brc1ccccc1-c1ccc2c(c1)OCO2; ['Brc1ccccc1I']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C']; [0.999966383]
-Fc1cccc(F)c1-c1ccc2c(c1)OCO2; ['Brc1ccc2c(c1)OCO2', 'F[B-](F)(F)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; ['Fc1cccc(F)c1[B-](F)(F)F', 'Fc1cccc(F)c1Br', 'O=C([O-])c1c(F)cccc1F']; [0.992512822, 0.992512822, 0.992512822]
-c1ccc(Cn2cc(-c3ccc4c(c3)OCO4)cn2)cc1; ['Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; [0.99999249, 0.99999249, 0.99999249]
-c1cc(-c2ccc3c(c2)OCO3)ncn1; ['CC(=O)c1ccc2c(c1)OCO2']; ['O=CNC(NC=O)NC=O']; [0.973032415]
-NC(=O)c1ccccc1-c1ccc2c(c1)OCO2; ['NC(=O)c1ccccc1I', 'Ic1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'NC(=O)c1ccccc1']; [0.999996066, 0.999996066]
-N[C@H](c1ccc2c(c1)OCO2)c1ccco1; [None]; [None]; [0]
-c1cc2c(cc1-c1ccc3c(c1)OCO3)CCC2; ['Ic1ccc2c(c1)CCC2']; ['Ic1ccc2c(c1)OCO2']; [0.952130318]
-c1ccc(-c2ncc(-c3ccc4c(c3)OCO4)[nH]2)cc1; ['Ic1ccc2c(c1)OCO2']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.826699555]
-O=C(Nc1cccc(-c2ccc3c(c2)OCO3)c1)c1ccccc1; [None]; [None]; [0]
-OCCn1cc(-c2ccc3c(c2)OCO3)cn1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C']; ['OCCn1cc(Br)cn1']; [0.999981403]
-c1ccn2c(-c3ccc4c(c3)OCO4)cnc2c1; ['Ic1cnc2ccccn12', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999998927, 0.999998927, 0.999998927]
-c1ncc(-c2ccc3c(c2)OCO3)o1; []; []; []
-Cc1nc(N)sc1-c1ccc2c(c1)OCO2; ['CC(=O)Cc1ccc2c(c1)OCO2']; ['NC(N)=S']; [0.999492407]
-c1cnn2c(-c3ccc4c(c3)OCO4)cnc2c1; ['Brc1ccc2c(c1)OCO2']; ['c1cnn2ccnc2c1']; [0.999990582]
-Cc1ccc(-c2ccc3c(c2)OCO3)c(Br)c1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1cccc(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(I)c(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2']; [0.99998033, 0.99998033, 0.99998033, 0.99998033, 0.99998033, 0.99998033]
-Cc1nc(C)c(-c2ccc3c(c2)OCO3)s1; ['Cc1csc(C)n1']; ['Ic1ccc2c(c1)OCO2']; [0.99679333]
-CC(C)(C)Nc1ccc2c(c1)OCO2; ['CC(C)(C)N']; ['Clc1ccc2c(c1)OCO2']; [0.819874704]
-c1cc2c(cc1OC1CCCCC1)OCO2; ['BrC1CCCCC1']; ['Oc1ccc2c(c1)OCO2']; [0.99123174]
-Clc1cccc(Cl)c1-c1ccc2c(c1)OCO2; ['Brc1ccc2c(c1)OCO2', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br', 'Brc1ccc2c(c1)OCO2', 'Clc1cccc(Cl)c1Cl', 'Clc1ccc2c(c1)OCO2']; ['Clc1cccc(Cl)c1I', 'Ic1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1c(Cl)cccc1Cl']; [0.999997616, 0.999997616, 0.999997616, 0.999997616, 0.999997616, 0.999997616]
-Clc1cccc(-c2ccc3c(c2)OCO3)c1Cl; ['Clc1cccc(Br)c1Cl', 'Brc1ccc2c(c1)OCO2', 'Clc1cccc(Cl)c1Cl', 'Clc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Clc1cccc(Br)c1Cl']; ['Ic1ccc2c(c1)OCO2', 'Clc1cccc(I)c1Cl', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1cccc(Cl)c1Cl', 'Clc1ccccc1Cl', 'c1ccc2c(c1)OCO2']; [0.999851465, 0.999851465, 0.999851465, 0.999851465, 0.999851465, 0.999851465]
-c1cncc(CNc2ccc3c(c2)OCO3)c1; ['Brc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2']; ['NCc1cccnc1', 'O=Cc1cccnc1']; [0.996397078, 0.996397078]
-COc1cccc(-c2ccc3c(c2)OCO3)c1; ['Brc1ccc2c(c1)OCO2']; ['COc1cccc(Br)c1']; [0.986926496]
-Nc1nccc(-c2ccc3c(c2)OCO3)n1; ['Nc1nccc(Cl)n1']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999944925]
-Clc1ccc(-c2ccc3c(c2)OCO3)s1; ['Clc1cccs1', 'Clc1cccs1']; ['Ic1ccc2c(c1)OCO2', 'O=C(O)c1ccc2c(c1)OCO2']; [0.998713493, 0.998713493]
-Cc1ccc(Cl)c(-c2ccc3c(c2)OCO3)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Ic1ccc2c(c1)OCO2']; [0.999785721]
-c1cncc(Nc2ccc3c(c2)OCO3)c1; ['Clc1cccnc1']; ['Nc1ccc2c(c1)OCO2']; [0.998295248]
-Cc1ncc(-c2ccc3c(c2)OCO3)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999412298]
-c1ccc2c(c1)ncn2-c1ccc2c(c1)OCO2; ['OB(O)c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.999469697, 0.999469697, 0.999469697]
-CC(C)COc1ccc2c(c1)OCO2; ['CC(C)CI', 'CC(C)CCl']; ['Oc1ccc2c(c1)OCO2', 'Oc1ccc2c(c1)OCO2']; [0.999326706, 0.999326706]
-c1ccc2cc(-c3ccc4c(c3)OCO4)ccc2c1; ['Brc1ccc2c(c1)OCO2']; ['Brc1ccc2ccccc2c1']; [0.988183677]
-C[C@@H](O)[C@@H](C)Oc1ccc2c(c1)OCO2; ['Brc1ccc2c(c1)OCO2']; ['C[C@@H](O)[C@@H](C)O']; [0.943825185]
-C[C@H](CO)Nc1ccc2c(c1)OCO2; ['CC(=O)CO']; ['Nc1ccc2c(c1)OCO2']; [0.98590672]
-O=C(Nc1ccc2c(c1)OCO2)c1cccs1; ['Nc1ccc2c(c1)OCO2']; ['O=C(O)c1cccs1']; [0.99994278]
-OCc1cccc(-c2ccc3c(c2)OCO3)c1; ['OB(O)c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2']; ['OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1']; [0.999477565, 0.999477565]
-Oc1cccc(-c2ccc3c(c2)OCO3)c1; ['OB(O)c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Br[Mg]c1ccc2c(c1)OCO2']; ['Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.999804676, 0.999804676, 0.999804676]
-c1ccc2c(-c3ccc4c(c3)OCO4)cncc2c1; ['Brc1cncc2ccccc12', 'Brc1ccc2c(c1)OCO2']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1cncc2ccccc12']; [0.999998331, 0.999998331]
-c1cc(Nc2ccc3c(c2)OCO3)ccn1; ['Clc1ccncc1']; ['Nc1ccc2c(c1)OCO2']; [0.999716818]
-Cn1cc(-c2ccc3c(c2)OCO3)cn1; ['Cn1cc(B(O)O)cn1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Clc1ccc2c(c1)OCO2']; ['Ic1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999882936, 0.999882936, 0.999882936]
-c1csc(-c2ccc3c(c2)OCO3)c1; ['OB(O)c1ccc2c(c1)OCO2', 'Br[Mg]c1ccc2c(c1)OCO2']; ['c1ccsc1', 'Brc1cccs1']; [0.999809325, 0.999809325]
-Cn1cncc1-c1ccc2c(c1)OCO2; ['Cn1cncc1Cl']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999800622]
-CC(C)Nc1ccc2c(c1)OCO2; ['CCC', 'CC(C)N']; ['Nc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; [0.985054612, 0.985054612]
-c1coc(-c2ccc3c(c2)OCO3)c1; ['Brc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2']; ['F[B-](F)(F)c1ccco1', 'c1ccoc1']; [0.99536562, 0.99536562]
-Fc1ccc(-c2ccc3c(c2)OCO3)c(C(F)(F)F)c1; ['Clc1ccc2c(c1)OCO2', 'Fc1ccc(Cl)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc2c(c1)OCO2']; [0.99988544, 0.99988544]
-CCC(=O)Nc1ccc(-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(c2)OCO3)cc1Cl; ['COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'Brc1ccc2c(c1)OCO2', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Ic1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'COc1ccccc1Cl', 'Ic1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2']; [0.99974817, 0.99974817, 0.99974817, 0.99974817, 0.99974817, 0.99974817, 0.99974817]
-CCC(=O)Nc1ccc2c(c1)OCO2; ['CCC(=O)O', 'CCC(=O)O']; ['Nc1ccc2c(c1)OCO2', 'O=[N+]([O-])c1ccc2c(c1)OCO2']; [0.999506, 0.999506]
-N#CCCc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
-CCCn1cc(-c2ccc3c(c2)OCO3)cn1; ['CCCn1cc(Br)cn1']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999965787]
-c1cc2c(cc1-c1cnoc1)OCO2; ['Brc1ccc2c(c1)OCO2']; ['c1cnoc1']; [0.998745441]
-CC(=O)Nc1cccc(-c2ccc3c(c2)OCO3)c1; ['CC(=O)Nc1cccc(Br)c1', 'Brc1ccc2c(c1)OCO2', 'CC(=O)Nc1cccc(Br)c1', 'Brc1ccc2c(c1)OCO2', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1ccccc1']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'OB(O)c1ccc2c(c1)OCO2', 'CC(=O)Nc1cccc(B(O)O)c1', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2']; [0.999998, 0.999998, 0.999998, 0.999998, 0.999998, 0.999998, 0.999998, 0.999998, 0.999998]
-CC(C)(N)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2']; [0.999942422, 0.999942422]
-CCOC(=O)Cc1ccc2c(c1)OCO2; ['CCO', 'CCOC(=O)CBr']; ['O=C(O)Cc1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2']; [0.999102592, 0.999102592]
-CCN(CC)c1ccc2c(c1)OCO2; ['CCI', 'CCBr', 'CCOS(=O)(=O)OCC']; ['CCNc1ccc2c(c1)OCO2', 'CCNc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2']; [0.994240642, 0.994240642, 0.994240642]
-Cc1cc(-c2ccc3c(c2)OCO3)no1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccc4c(c3)OCO4)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999965072]
-COc1ccncc1Nc1ccc2c(c1)OCO2; ['COc1ccncc1I']; ['Nc1ccc2c(c1)OCO2']; [0.998242855]
-O=c1[nH]ccc2oc(-c3ccc4c(c3)OCO4)cc12; [None]; [None]; [0]
-c1ccc2ncc(Nc3ccc4c(c3)OCO4)cc2c1; ['Ic1ccc2c(c1)OCO2', 'Clc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1ccc2c(c1)OCO2']; [0.99946481, 0.99946481]
-C[S@](=O)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['Brc1ccc2c(c1)OCO2', 'CS(=O)c1ccc(Br)cc1']; ['CS(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2c(c1)OCO2']; [0.999672174, 0.999672174]
-OC[C@H](Cc1ccccc1)c1ccc2c(c1)OCO2; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc3c(c2)OCO3)C1; [None]; [None]; [0]
-c1ccc2c(-c3ccc4c(c3)OCO4)c[nH]c2c1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
-c1cc2c(-c3ccc4c(c3)OCO4)c[nH]c2cn1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccc2c(c1)OCO2; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['Brc1ccc2c(c1)OCO2', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2']; [0.999957442, 0.999957442, 0.999957442, 0.999957442]
-CNS(=O)(=O)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2']; [0.999655962, 0.999655962]
-N#C[C@@H]1CC[C@@H](c2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1ccc2c(c1)OCO2; ['OB(O)c1ccc2c(c1)OCO2', 'NNc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; ['c1ccc2[nH]ncc2c1', 'O=Cc1ccccc1Br', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.999993086, 0.999993086, 0.999993086, 0.999993086]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['Brc1ccc2c(c1)OCO2', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; [0.999862671, 0.999862671, 0.999862671]
-NC(=O)c1c(F)cccc1-c1ccc2c(c1)OCO2; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'NC(=O)c1c(F)cccc1Br']; ['NC(=O)c1c(F)cccc1Br', 'OB(O)c1ccc2c(c1)OCO2']; [0.999999642, 0.999999642]
-Oc1cccc2c1cnn2-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-c1cc(Cc2ccc3c(c2)OCO3)ccn1; ['ClCc1ccncc1', 'ClCc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccncc1']; [0.998682916, 0.998682916]
-Oc1ncccc1-c1ccc2c(c1)OCO2; ['OB(O)c1ccc2c(c1)OCO2']; ['Oc1ncccc1I']; [0.99998045]
-c1cc2c(cc1OC1CCOCC1)OCO2; ['BrC1CCOCC1']; ['Oc1ccc2c(c1)OCO2']; [0.995236099]
-Oc1ccc2nc(-c3ccc4c(c3)OCO4)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(c2)OCO3)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'Brc1ccc2c(c1)OCO2', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['OB(O)c1ccc2c(c1)OCO2', 'COc1ccc(B(O)O)c(OC)c1', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; [0.999925852, 0.999925852, 0.999925852, 0.999925852]
-c1cn(-c2ccc3c(c2)OCO3)cn1; ['Ic1ccc2c(c1)OCO2']; ['c1c[nH]cn1']; [0.999384522]
-O=C(c1ccccc1)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['Brc1ccc2c(c1)OCO2']; ['O=C(c1ccccc1)c1ccc(Br)cc1']; [0.944793403]
-Nc1nnc(-c2ccc3c(c2)OCO3)s1; ['N#Cc1ccc2c(c1)OCO2']; ['NNC(N)=S']; [0.99987638]
-Cc1cncc(-c2ccc3c(c2)OCO3)n1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C']; ['Cc1cncc(Cl)n1']; [0.999996424]
-Nc1ncc(-c2ccc3c(c2)OCO3)s1; ['CC(=O)c1ccc2c(c1)OCO2']; ['NC(N)=S']; [0.796735942]
-COc1cccc(F)c1-c1ccc2c(c1)OCO2; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'COc1cccc(F)c1Br', 'Brc1ccc2c(c1)OCO2', 'COc1cccc(F)c1B(O)O']; ['COc1cccc(F)c1Br', 'OB(O)c1ccc2c(c1)OCO2', 'COc1cccc(F)c1B(O)O', 'Clc1ccc2c(c1)OCO2']; [0.999999404, 0.999999404, 0.999999404, 0.999999404]
-c1ccc2sc(-c3ccc4c(c3)OCO4)nc2c1; ['NCc1ccc2c(c1)OCO2']; ['Nc1ccccc1S']; [0.999958515]
-c1cc(-c2ccc3c(c2)OCO3)c2sccc2c1; ['Brc1cccc2ccsc12']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999650836]
-Nc1nc(-c2ccc3c(c2)OCO3)nc2ccccc12; ['N#Cc1ccccc1N']; ['O=C(Cl)c1ccc2c(c1)OCO2']; [0.99860543]
-CC(C)(C)Oc1ccc2c(c1)OCO2; ['Brc1ccc2c(c1)OCO2']; ['CC(C)(C)[O-]']; [0.805557191]
-COc1ccc(C#N)cc1-c1ccc2c(c1)OCO2; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'COc1ccc(C#N)cc1Br']; ['COc1ccc(C#N)cc1Br', 'OB(O)c1ccc2c(c1)OCO2']; [0.999993682, 0.999993682]
-COc1ccc(OC)c(-c2ccc3c(c2)OCO3)c1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'COc1ccc(OC)c(Br)c1', 'Brc1ccc2c(c1)OCO2', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Cl)c1', 'Brc1ccc2c(c1)OCO2']; ['COc1ccc(OC)c(Br)c1', 'OB(O)c1ccc2c(c1)OCO2', 'COc1ccc(OC)c(B(O)O)c1', 'Clc1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; [0.999995, 0.999995, 0.999995, 0.999995, 0.999995, 0.999995]
-c1cnc2c(-c3ccc4c(c3)OCO4)c[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)CNc1ccc2c(c1)OCO2; ['CC(C)(C)C=O', 'CC(C)(C)CN']; ['Nc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; [0.942681432, 0.942681432]
-C[C@@]1(O)CC[C@H](c2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3c(c2)OCO3)C1; ['Brc1ccc2c(c1)OCO2']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.999779642]
-Cc1cc(C)cc(-c2ccc3c(c2)OCO3)c1; ['Brc1ccc2c(c1)OCO2', 'Cc1cc(C)cc(Br)c1']; ['Cc1cc(C)cc(B(O)O)c1', 'OB(O)c1ccc2c(c1)OCO2']; [0.999844551, 0.999844551]
-CNC(=O)c1ccccc1-c1ccc(O)cc1; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1', 'CN']; ['OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'O=C(O)c1ccccc1-c1ccc(O)cc1']; [0.999942183, 0.999942183, 0.999942183]
-Oc1ccc(Cc2cc(F)cc(F)c2)cc1; ['OCc1cc(F)cc(F)c1', 'Fc1cc(F)cc(CCl)c1']; ['Oc1ccccc1', 'Oc1ccccc1']; [0.905358076, 0.905358076]
-c1ccc2[nH]c(C3CCN(c4ccc5c(c4)OCO5)CC3)nc2c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc(O)cc1; ['CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.993493617, 0.993493617]
-Oc1ccc([C@@H]2C[C@H](O)C2)cc1; [None]; [None]; [0]
-Oc1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Cl)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1']; [0.999856353, 0.999856353, 0.999856353, 0.999856353]
-Oc1ccc(-c2ccnc3ccccc23)cc1; [None]; [None]; [0]
-Oc1ccc(-c2cccnc2)cc1; ['Brc1cccnc1', 'OB(O)c1cccnc1', 'Clc1cccnc1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1']; [0.999954462, 0.999954462, 0.999954462]
-Oc1ccc(-c2ccccc2Br)cc1; ['OB(O)c1ccccc1Br', 'Brc1ccccc1I']; ['Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1']; [0.998460889, 0.998460889]
-Oc1ccc(-c2ccccc2Cl)cc1; ['Clc1ccccc1Br', 'OB(O)c1ccccc1Cl', 'Clc1ccccc1Cl', 'OB(O)c1ccccc1Cl', 'O=S(=O)(Oc1ccccc1Cl)C(F)(F)F']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1']; [0.999390125, 0.999390125, 0.999390125, 0.999390125, 0.999390125]
-Oc1ccc(-c2cc[nH]n2)cc1; []; []; []
-Oc1ccc(-c2ccccc2OC(F)(F)F)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'FC(F)(F)Oc1ccccc1I', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F']; ['FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.999995, 0.999995, 0.999995, 0.999995, 0.999995, 0.999995]
-NC(=O)c1ccccc1-c1ccc(O)cc1; []; []; []
-Oc1ccc(-c2ccccc2F)cc1; ['Fc1ccccc1I', 'Fc1ccccc1Br', 'OB(O)c1ccccc1F', 'OB(O)c1ccccc1F']; ['OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1']; [0.999643087, 0.999643087, 0.999643087, 0.999643087]
-N#Cc1ccccc1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'N#Cc1ccccc1I', 'CC1(C)OB(c2ccccc2C#N)OC1(C)C', 'N#Cc1ccccc1B(O)O']; ['N#Cc1ccccc1Br', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1']; [0.999978423, 0.999978423, 0.999978423, 0.999978423]
-Oc1ccc(-c2c(F)cccc2F)cc1; ['Fc1cccc(F)c1Br', 'OB(O)c1c(F)cccc1F']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.999684453, 0.999684453]
-Oc1ccc(-c2cnn(Cc3ccccc3)c2)cc1; ['Brc1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Oc1ccc(Br)cc1']; [0.999951601, 0.999951601]
-Oc1ccc(-c2ccncn2)cc1; ['Clc1ccncn1']; ['OB(O)c1ccc(O)cc1']; [0.999892354]
-Oc1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
-N[C@H](c1ccc(O)cc1)c1ccco1; [None]; [None]; [0]
-OCCn1cc(-c2ccc(O)cc2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OB(O)c1ccc(O)cc1']; ['Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'OCCn1cc(Br)cn1']; [0.999820769, 0.999820769, 0.999820769]
-O=C(Nc1cccc(-c2ccc(O)cc2)c1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(O)cc2)c(Br)c1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cc1ccc(I)c(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'OB(O)c1ccc(O)cc1']; [0.999988914, 0.999988914]
-Oc1ccc(-c2ccc3c(c2)CCC3)cc1; [None]; [None]; [0]
-Oc1ccc(-c2cnco2)cc1; []; []; []
-Oc1ccc(-c2cnc3ccccn23)cc1; ['Brc1cnc2ccccn12', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; ['OB(O)c1ccc(O)cc1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999934435, 0.999934435, 0.999934435]
-Cc1nc(C)c(-c2ccc(O)cc2)s1; ['Cc1nc(C)c(Br)s1', 'Cc1csc(C)n1']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.999792397, 0.999792397]
-Oc1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12']; ['OB(O)c1ccc(O)cc1']; [0.999997258]
-Oc1ccc(OC2CCCCC2)cc1; ['BrC1CCCCC1', 'IC1CCCCC1']; ['Oc1ccc(O)cc1', 'Oc1ccc(O)cc1']; [0.949036241, 0.949036241]
-Oc1ccc(-c2c(Cl)cccc2Cl)cc1; ['Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.999284565, 0.999284565, 0.999284565, 0.999284565]
-Cc1ccc(Cl)c(-c2ccc(O)cc2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Oc1ccc(I)cc1']; [0.997389734]
-Cc1nc(N)sc1-c1ccc(O)cc1; [None]; [None]; [0]
-Oc1ccc(NCc2cccnc2)cc1; ['Nc1ccc(O)cc1']; ['O=Cc1cccnc1']; [0.796147764]
-Cc1ncc(-c2ccc(O)cc2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1ccc(O)cc1']; [0.924323559]
-CC(C)(C)Nc1ccc(O)cc1; [None]; [None]; [0]
-COc1cccc(-c2ccc(O)cc2)c1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'COc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cccc(Br)c1', 'COc1cccc(B(O)O)c1']; ['COc1cccc(Br)c1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.999993324, 0.999993324, 0.999993324, 0.999993324]
-Oc1ccc(-c2cccc(Cl)c2Cl)cc1; ['Clc1cccc(Br)c1Cl', 'OB(O)c1cccc(Cl)c1Cl']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.997169435, 0.997169435]
-Oc1ccc(Nc2cccnc2)cc1; ['Nc1cccnc1']; ['Oc1ccc(Br)cc1']; [0.852933586]
-Oc1ccc(-c2ccc3ccccc3c2)cc1; ['OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; ['Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1']; [0.999945045, 0.999945045, 0.999945045, 0.999945045]
-Nc1nccc(-c2ccc(O)cc2)n1; ['Nc1nccc(Cl)n1']; ['OB(O)c1ccc(O)cc1']; [0.999091744]
-C[C@H](CO)Nc1ccc(O)cc1; ['C[C@@H](N)CO', 'C[C@@H](N)CO', 'C[C@@H](N)CO']; ['Oc1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(F)cc1']; [0.904855847, 0.904855847, 0.904855847]
-Oc1ccc(-c2ccc(Cl)s2)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OB(O)c1ccc(Cl)s1', 'CC1(C)OB(c2ccc(Cl)s2)OC1(C)C']; ['Clc1ccc(Br)s1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Br)cc1']; [0.999976635, 0.999976635, 0.999976635]
-O=C(Nc1ccc(O)cc1)c1cccs1; ['NC(=O)c1cccs1', 'COC(=O)c1cccs1']; ['Oc1ccc(I)cc1', 'Nc1ccc(O)cc1']; [0.981538653, 0.981538653]
-CC(C)COc1ccc(O)cc1; ['CC(C)CBr']; ['Oc1ccc(O)cc1']; [0.885366917]
-Oc1ccc(-c2cncc3ccccc23)cc1; ['Brc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.999471724, 0.999471724]
-Oc1ccc(-n2cnc3ccccc32)cc1; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.998305559, 0.998305559]
-Oc1ccc(-c2cccc(O)c2)cc1; ['OB(O)c1ccc(O)cc1', 'OB(O)c1cccc(O)c1']; ['Oc1cccc(Br)c1', 'Oc1ccc(Br)cc1']; [0.999210715, 0.999210715]
-Oc1ccc(Nc2ccncc2)cc1; ['Clc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1']; ['Nc1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1']; [0.901854634, 0.901854634, 0.901854634]
-C[C@@H](O)[C@@H](C)Oc1ccc(O)cc1; [None]; [None]; [0]
-Cn1cncc1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cn1cncc1Br']; ['Cn1cncc1Br', 'OB(O)c1ccc(O)cc1']; [0.999985576, 0.999985576]
-OCc1cccc(-c2ccc(O)cc2)c1; ['OB(O)c1ccc(O)cc1', 'OCc1cccc(B(O)O)c1']; ['OCc1cccc(I)c1', 'Oc1ccc(I)cc1']; [0.99957341, 0.99957341]
-Cn1cc(-c2ccc(O)cc2)cn1; ['Cn1cc(I)cn1']; ['OB(O)c1ccc(O)cc1']; [0.999884367]
-Oc1ccc(-c2ccco2)cc1; ['OB(O)c1ccco1', 'Oc1ccc(I)cc1']; ['Oc1ccc(I)cc1', 'c1ccoc1']; [0.997879505, 0.997879505]
-Oc1ccc(-c2cccs2)cc1; ['OB(O)c1cccs1']; ['Oc1ccc(Br)cc1']; [0.967734933]
-N#CCCc1cccc(-c2ccc(O)cc2)c1; [None]; [None]; [0]
-CC(C)Nc1ccc(O)cc1; ['CC(C)N', 'CC(C)N']; ['Oc1ccc(Br)cc1', 'Oc1ccc(O)cc1']; [0.943333149, 0.943333149]
-CC(=O)Nc1cccc(-c2ccc(O)cc2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1']; [0.999997616, 0.999997616, 0.999997616, 0.999997616, 0.999997616, 0.999997616, 0.999997616]
-CCC(=O)Nc1ccc(-c2ccc(O)cc2)cc1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(O)cc1; ['CCC(=O)OC(=O)CC']; ['Nc1ccc(O)cc1']; [0.980396867]
-Oc1ccc(-c2ccc(F)cc2C(F)(F)F)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.999997497, 0.999997497, 0.999997497]
-COc1ccc(-c2ccc(O)cc2)cc1Cl; ['COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.9991979, 0.9991979]
-CCCn1cc(-c2ccc(O)cc2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Oc1ccc(I)cc1']; [0.999961138]
-Oc1ccc(-c2cnoc2)cc1; ['Brc1cnoc1']; ['OB(O)c1ccc(O)cc1']; [0.98758322]
-CCOC(=O)Cc1ccc(O)cc1; []; []; []
-Cc1cc(-c2ccc(O)cc2)no1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccc(O)cc2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['OB(O)c1ccc(O)cc1']; [0.86588943]
-CCN(CC)c1ccc(O)cc1; []; []; []
-O=C1CCc2cccc(-c3ccc(O)cc3)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1ccc(O)cc1']; [0.999776185]
-COc1ccncc1Nc1ccc(O)cc1; ['COc1ccncc1Br']; ['Nc1ccc(O)cc1']; [0.994446397]
-C[S@](=O)c1ccc(-c2ccc(O)cc2)cc1; ['CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.993087113, 0.993087113]
-O=c1[nH]ccc2oc(-c3ccc(O)cc3)cc12; [None]; [None]; [0]
-Oc1ccc(Nc2cnc3ccccc3c2)cc1; ['Nc1cnc2ccccc2c1']; ['OB(O)c1ccc(O)cc1']; [0.997166]
-Oc1ccc(-c2c[nH]c3ccccc23)cc1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ccc(O)cc1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc(O)cc2)C1; [None]; [None]; [0]
-Oc1ccc(-c2c[nH]c3cnccc23)cc1; ['Brc1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OB(O)c1ccc(O)cc1']; [0.999986649, 0.999986649]
-N#CC[C@@H]1CC[C@@H](c2ccc(O)cc2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc(O)cc2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1ccc(O)cc1']; [0.978892088]
-N#C[C@H]1CCOC[C@@H]1c1ccc(O)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc(O)cc2)cc1; []; []; []
-N#C[C@@H]1CC[C@@H](c2ccc(O)cc2)CC1; [None]; [None]; [0]
-Oc1ccc(-n2ncc3ccccc32)cc1; ['Oc1ccc(I)cc1']; ['c1ccc2[nH]ncc2c1']; [0.993976235]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(O)cc2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1ccc(I)cc1']; [0.999185622]
-NC(=O)c1c(F)cccc1-c1ccc(O)cc1; ['NC(=O)c1c(F)cccc1Br']; ['OB(O)c1ccc(O)cc1']; [0.99991715]
-Oc1ccc(-n2ncc3c(O)cccc32)cc1; [None]; [None]; [0]
-Oc1ccc(Cc2ccncc2)cc1; ['OCc1ccncc1']; ['Oc1ccccc1']; [0.848991275]
-Oc1ccc(-c2cccnc2O)cc1; ['OB(O)c1ccc(O)cc1']; ['Oc1ncccc1Br']; [0.999712765]
-Oc1ccc(-c2nc3ccc(O)cc3[nH]2)cc1; [None]; [None]; [0]
-Oc1ccc(OC2CCOCC2)cc1; ['BrC1CCOCC1', 'CS(=O)(=O)OC1CCOCC1']; ['Oc1ccc(O)cc1', 'Oc1ccc(O)cc1']; [0.92407757, 0.92407757]
-COc1ccc(-c2ccc(O)cc2)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1']; [0.999851346, 0.999851346, 0.999851346, 0.999851346]
-O=C(c1ccccc1)c1ccc(-c2ccc(O)cc2)cc1; ['O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.999340236, 0.999340236]
-Oc1ccc(-n2ccnc2)cc1; ['Oc1ccc(Br)cc1']; ['c1c[nH]cn1']; [0.998629212]
-Nc1nnc(-c2ccc(O)cc2)s1; ['N#Cc1ccc(O)cc1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc(O)cc1']; [0.99999404, 0.99999404]
-Oc1ccc(-c2nc3ccccc3s2)cc1; ['Nc1ccccc1S']; ['O=Cc1ccc(O)cc1']; [0.997014046]
-Nc1ncc(-c2ccc(O)cc2)s1; ['CC(=O)c1ccc(O)cc1']; ['NC(N)=S']; [0.982360363]
-COc1cccc(F)c1-c1ccc(O)cc1; ['COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O']; ['Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.999905467, 0.999905467, 0.999905467, 0.999905467]
-Cc1cncc(-c2ccc(O)cc2)n1; ['Cc1cncc(Cl)n1']; ['OB(O)c1ccc(O)cc1']; [0.998160303]
-Oc1ccc(-c2cccc3ccsc23)cc1; ['Brc1cccc2ccsc12']; ['OB(O)c1ccc(O)cc1']; [0.997808754]
-COc1ccc(C#N)cc1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'COc1ccc(C#N)cc1Br']; ['COc1ccc(C#N)cc1Br', 'OB(O)c1ccc(O)cc1']; [0.999988914, 0.999988914]
-Nc1nc(-c2ccc(O)cc2)nc2ccccc12; [None]; [None]; [0]
-Oc1ccc(-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
-CC(C)(C)CNc1ccc(O)cc1; ['CC(C)(C)CN', 'CC(C)(C)CI', 'CC(C)(C)CN']; ['Oc1ccc(I)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(F)cc1']; [0.993287265, 0.993287265, 0.993287265]
-Oc1ccc(Cc2cccnc2)cc1; [None]; [None]; [0]
-CC(C)(C)Oc1ccc(O)cc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc(O)cc2)c1; ['Cc1cc(C)cc(Cl)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1']; [0.998900652, 0.998900652]
-COc1ccc(OC)c(-c2ccc(O)cc2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Oc1ccc(I)cc1']; [0.99897778]
-C[C@@]1(O)CC[C@H](c2ccc(O)cc2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-Oc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1; [None]; [None]; [0]
-Oc1ccc(N2CC=C(c3c[nH]c4ccccc34)CC2)cc1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc2[nH]ncc2c1; ['CCOc1ccccc1Br', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'CCOc1ccccc1B(O)O']; [0.999919891, 0.999919891]
-c1ccc2c(-c3ccc4[nH]ncc4c3)ccnc2c1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ccc3[nH]ncc3c2)c1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2ccc3[nH]ncc3c2)C1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ccc3[nH]ncc3c2)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1']; ['FC(F)(F)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; [0.999999285, 0.999999285]
-c1cncc(-c2ccc3[nH]ncc3c2)c1; ['Brc1ccc2[nH]ncc2c1', 'Brc1cccnc1', 'Brc1cccnc1']; ['CC1(C)OB(c2cccnc2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C']; [0.999988914, 0.999988914, 0.999988914]
-Clc1ccccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccccc1Cl', 'Clc1ccc2[nH]ncc2c1']; ['Clc1ccccc1Br', 'CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccccc1Cl']; [0.999992967, 0.999992967, 0.999992967, 0.999992967]
-Brc1ccccc1-c1ccc2[nH]ncc2c1; ['Brc1ccc2[nH]ncc2c1', 'Brc1ccccc1Br', 'Brc1ccccc1Br']; ['OB(O)c1ccccc1Br', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1']; [0.996359169, 0.996359169, 0.996359169]
-c1cc(-c2ccc3[nH]ncc3c2)n[nH]1; ['Brc1cc[nH]n1']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999981523]
-FC(F)(F)Oc1ccccc1-c1ccc2[nH]ncc2c1; ['Ic1ccc2[nH]ncc2c1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999992, 0.999992, 0.999992, 0.999992]
-Fc1ccccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Fc1ccccc1I', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['Fc1ccccc1Br', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccccc1F', 'CC1(C)OB(c2ccccc2F)OC1(C)C']; [0.999997497, 0.999997497, 0.999997497, 0.999997497]
-N#Cc1ccccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'N#Cc1ccccc1Br', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['N#Cc1ccccc1Br', 'OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccccc2C#N)OC1(C)C', 'N#Cc1ccccc1B(O)O']; [0.999992967, 0.999992967, 0.999992967, 0.999992967]
-c1ccc(Cn2cc(-c3ccc4[nH]ncc4c3)cn2)cc1; ['Brc1cnn(Cc2ccccc2)c1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; [0.999997139, 0.999997139]
-NC(=O)c1ccccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'NC(=O)c1ccccc1Br']; ['NC(=O)c1ccccc1Br', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999996781, 0.999996781]
-Fc1cccc(F)c1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1']; ['Fc1cccc(F)c1Br', 'CC1(C)OB(c2c(F)cccc2F)OC1(C)C']; [0.999998808, 0.999998808]
-c1cc(-c2ccc3[nH]ncc3c2)ncn1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1ccncn1']; ['Clc1ccncn1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.99999547, 0.99999547]
-N[C@H](c1ccc2[nH]ncc2c1)c1ccco1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ccc4[nH]ncc4c3)[nH]2)cc1; [None]; [None]; [0]
-OCCn1cc(-c2ccc3[nH]ncc3c2)cn1; ['Brc1ccc2[nH]ncc2c1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; [0.999997377]
-O=C(Nc1cccc(-c2ccc3[nH]ncc3c2)c1)c1ccccc1; [None]; [None]; [0]
-c1cc2c(cc1-c1ccc3[nH]ncc3c1)CCC2; [None]; [None]; [0]
-Cc1ccc(-c2ccc3[nH]ncc3c2)c(Br)c1; ['Cc1ccc(I)c(Br)c1']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999939919]
-c1ccn2c(-c3ccc4[nH]ncc4c3)cnc2c1; ['Brc1cnc2ccccn12']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999998569]
-Cc1nc(C)c(-c2ccc3[nH]ncc3c2)s1; ['Cc1nc(C)c(Br)s1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Cc1csc(C)n1']; [0.999987483, 0.999987483]
-c1ncc(-c2ccc3[nH]ncc3c2)o1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ccc2[nH]ncc2c1; ['Clc1cccc(Cl)c1Br', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1c(Cl)cccc1Cl']; [0.999980807, 0.999980807]
-c1cnn2c(-c3ccc4[nH]ncc4c3)cnc2c1; ['Brc1cnc2cccnn12']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999999881]
-Cc1nc(N)sc1-c1ccc2[nH]ncc2c1; ['Cc1nc(N)sc1Br']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999985]
-Cc1ccc(Cl)c(-c2ccc3[nH]ncc3c2)c1; ['Cc1ccc(Cl)c(Br)c1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Cc1ccc(Cl)c(B(O)O)c1']; [0.999977589, 0.999977589]
-c1cc2[nH]ncc2cc1OC1CCCCC1; ['OC1CCCCC1', 'IC1CCCCC1']; ['Oc1ccc2[nH]ncc2c1', 'Oc1ccc2[nH]ncc2c1']; [0.999813378, 0.999813378]
-c1cncc(CNc2ccc3[nH]ncc3c2)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc3[nH]ncc3c2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999821365]
-CC(C)(C)Nc1ccc2[nH]ncc2c1; ['Brc1ccc2[nH]ncc2c1']; ['CC(C)(C)N']; [0.805633366]
-COc1cccc(-c2ccc3[nH]ncc3c2)c1; ['COc1cccc(I)c1', 'COc1cccc(Br)c1', 'COc1cccc(B(O)O)c1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'COc1cccc(B(O)O)c1']; [0.999982, 0.999982, 0.999982, 0.999982]
-Clc1cccc(-c2ccc3[nH]ncc3c2)c1Cl; ['Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1cccc(Br)c1Cl', 'Clc1cccc(I)c1Cl']; ['OB(O)c1cccc(Cl)c1Cl', 'OB(O)c1cccc(Cl)c1Cl', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.99998951, 0.99998951, 0.99998951, 0.99998951]
-c1ccc2cc(-c3ccc4[nH]ncc4c3)ccc2c1; ['Brc1ccc2[nH]ncc2c1', 'Brc1ccc2ccccc2c1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C']; [0.999994636, 0.999994636]
-c1cncc(Nc2ccc3[nH]ncc3c2)c1; ['Ic1ccc2[nH]ncc2c1', 'Clc1cccnc1']; ['Nc1cccnc1', 'Nc1ccc2[nH]ncc2c1']; [0.99772805, 0.99772805]
-Nc1nccc(-c2ccc3[nH]ncc3c2)n1; ['Nc1nccc(Cl)n1']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.99998951]
-C[C@H](CO)Nc1ccc2[nH]ncc2c1; ['C[C@@H](N)CO']; ['Ic1ccc2[nH]ncc2c1']; [0.992655277]
-Clc1ccc(-c2ccc3[nH]ncc3c2)s1; ['Clc1ccc(Br)s1']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999992609]
-O=C(Nc1ccc2[nH]ncc2c1)c1cccs1; ['Nc1ccc2[nH]ncc2c1', 'COC(=O)c1cccs1']; ['O=C(O)c1cccs1', 'Nc1ccc2[nH]ncc2c1']; [0.999821365, 0.999821365]
-CC(C)COc1ccc2[nH]ncc2c1; ['CC(C)CBr']; ['Oc1ccc2[nH]ncc2c1']; [0.998905659]
-c1ccc2c(c1)ncn2-c1ccc2[nH]ncc2c1; ['Brc1ccc2[nH]ncc2c1']; ['c1ccc2[nH]cnc2c1']; [0.926859438]
-c1ccc2c(-c3ccc4[nH]ncc4c3)cncc2c1; ['Brc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1cncc2ccccc12']; [0.999999642, 0.999999642, 0.999999642, 0.999999642]
-Oc1cccc(-c2ccc3[nH]ncc3c2)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['Oc1cccc(Br)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; [0.999985, 0.999985, 0.999985, 0.999985]
-c1cc(Nc2ccc3[nH]ncc3c2)ccn1; ['Brc1ccc2[nH]ncc2c1', 'Brc1ccncc1', 'Clc1ccncc1', 'Clc1ccc2[nH]ncc2c1']; ['Nc1ccncc1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccncc1']; [0.99944371, 0.99944371, 0.99944371, 0.99944371]
-Cn1cncc1-c1ccc2[nH]ncc2c1; ['Cn1cncc1Br']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999973416]
-C[C@@H](O)[C@@H](C)Oc1ccc2[nH]ncc2c1; ['C[C@@H](O)[C@@H](C)O']; ['Oc1ccc2[nH]ncc2c1']; [0.896672189]
-c1coc(-c2ccc3[nH]ncc3c2)c1; ['Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccco1']; [0.999973774]
-Cn1cc(-c2ccc3[nH]ncc3c2)cn1; ['Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [0.999977589, 0.999977589]
-N#CCCc1cccc(-c2ccc3[nH]ncc3c2)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'N#CCCc1cccc(Br)c1']; ['N#CCCc1cccc(Br)c1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999974251, 0.999974251]
-OCc1cccc(-c2ccc3[nH]ncc3c2)c1; ['OB(O)c1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1']; [0.999921083, 0.999921083]
-c1csc(-c2ccc3[nH]ncc3c2)c1; ['Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1cccs1', 'CC1(C)OB(c2cccs2)OC1(C)C']; [0.999976039, 0.999976039]
-CC(=O)Nc1cccc(-c2ccc3[nH]ncc3c2)c1; ['Brc1ccc2[nH]ncc2c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1']; [0.999999404, 0.999999404, 0.999999404]
-CC(C)Nc1ccc2[nH]ncc2c1; ['CC(C)=O']; ['Nc1ccc2[nH]ncc2c1']; [0.98293972]
-CCC(=O)Nc1ccc(-c2ccc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2ccc3[nH]ncc3c2)c(C(F)(F)F)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Clc1ccc2[nH]ncc2c1']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999999046, 0.999999046, 0.999999046]
-CCC(=O)Nc1ccc2[nH]ncc2c1; ['CCC(=O)O', 'CCC(=O)Br']; ['Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1']; [0.999857903, 0.999857903]
-COc1ccc(-c2ccc3[nH]ncc3c2)cc1Cl; ['COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1']; [0.999994874, 0.999994874]
-CCCn1cc(-c2ccc3[nH]ncc3c2)cn1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1ccc2[nH]ncc2c1']; ['CCCn1cc(Br)cn1', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CCCn1cccn1']; [0.999999285, 0.999999285, 0.999999285, 0.999999285]
-c1cc2[nH]ncc2cc1-c1cnoc1; ['Brc1cnoc1', 'Brc1cnoc1']; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999958754, 0.999958754]
-Cc1cc(-c2ccc3[nH]ncc3c2)no1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999992251, 0.999992251, 0.999992251]
-O=C1CCc2cccc(-c3ccc4[nH]ncc4c3)c21; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'O=C1CCc2cccc(Br)c21']; ['O=C1CCc2cccc(Br)c21', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999995351, 0.999995351]
-CCN(CC)c1ccc2[nH]ncc2c1; []; []; []
-C[S@](=O)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['Brc1ccc2[nH]ncc2c1', 'CS(=O)c1ccc(Br)cc1']; ['CS(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999741733, 0.999741733]
-CCOC(=O)Cc1ccc2[nH]ncc2c1; [None]; [None]; [0]
-COc1ccncc1Nc1ccc2[nH]ncc2c1; ['COc1ccncc1Br', 'COc1ccncc1Cl', 'COc1ccncc1N', 'Brc1ccc2[nH]ncc2c1']; ['Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'COc1ccncc1N']; [0.999951363, 0.999951363, 0.999951363, 0.999951363]
-c1ccc2c(-c3ccc4[nH]ncc4c3)c[nH]c2c1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3ccc4[nH]ncc4c3)cc12; [None]; [None]; [0]
-c1cc2c(-c3ccc4[nH]ncc4c3)c[nH]c2cn1; ['Brc1c[nH]c2cnccc12']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999931574]
-c1ccc2ncc(Nc3ccc4[nH]ncc4c3)cc2c1; ['Brc1ccc2[nH]ncc2c1']; ['Nc1cnc2ccccc2c1']; [0.999598801]
-OC[C@H](Cc1ccccc1)c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc3[nH]ncc3c2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['CNS(=O)(=O)c1ccc(Br)cc1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999981642, 0.999981642]
-N#C[C@H]1CCOC[C@@H]1c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999999881, 0.999999881, 0.999999881, 0.999999881]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['Brc1ccc2[nH]ncc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; [0.999975324, 0.999975324, 0.999975324]
-c1ccc2c(c1)cnn2-c1ccc2[nH]ncc2c1; ['OB(O)c1ccc2[nH]ncc2c1']; ['c1ccc2[nH]ncc2c1']; [0.968601048]
-NC(=O)c1c(F)cccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'NC(=O)c1c(F)cccc1Br']; ['NC(=O)c1c(F)cccc1Br', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999998212, 0.999998212]
-Oc1ncccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1']; ['Oc1ncccc1Br', 'Oc1ncccc1Br']; [0.999995828, 0.999995828]
-Oc1cccc2c1cnn2-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3[nH]ncc3c2)c(OC)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(Br)c(OC)c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['COc1ccc(Br)c(OC)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; [0.999994636, 0.999994636, 0.999994636, 0.999994636]
-Oc1ccc2nc(-c3ccc4[nH]ncc4c3)[nH]c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['O=C(c1ccccc1)c1ccc(Br)cc1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999943733, 0.999943733]
-c1cc(Cc2ccc3[nH]ncc3c2)ccn1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3[nH]ncc3c2)s1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1']; ['Nc1ncc(Br)s1', 'Nc1nccs1']; [0.999991417, 0.999991417]
-c1cc2[nH]ncc2cc1OC1CCOCC1; ['OC1CCOCC1']; ['Oc1ccc2[nH]ncc2c1']; [0.999965191]
-c1cn(-c2ccc3[nH]ncc3c2)cn1; ['Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1']; ['c1c[nH]cn1', 'c1c[nH]cn1', 'c1c[nH]cn1']; [0.999024749, 0.999024749, 0.999024749]
-COc1cccc(F)c1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C']; ['COc1cccc(F)c1Br']; [0.999999762]
-Cc1cncc(-c2ccc3[nH]ncc3c2)n1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cc1cncc(Cl)n1']; ['Cc1cncc(Br)n1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999999642, 0.999999642]
-Nc1nnc(-c2ccc3[nH]ncc3c2)s1; ['N#Cc1ccc2[nH]ncc2c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc2[nH]ncc2c1']; [0.999941, 0.999941]
-c1ccc2sc(-c3ccc4[nH]ncc4c3)nc2c1; ['Brc1nc2ccccc2s1', 'Ic1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'c1ccc2scnc2c1']; [0.999975681, 0.999975681]
-c1cc(-c2ccc3[nH]ncc3c2)c2sccc2c1; ['Brc1cccc2ccsc12']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999979615]
-COc1ccc(C#N)cc1-c1ccc2[nH]ncc2c1; ['COc1ccc(C#N)cc1Br']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999995947]
-Nc1nc(-c2ccc3[nH]ncc3c2)nc2ccccc12; [None]; [None]; [0]
-c1cnc2c(-c3ccc4[nH]ncc4c3)c[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)CNc1ccc2[nH]ncc2c1; ['CC(C)(C)C=O']; ['Nc1ccc2[nH]ncc2c1']; [0.985804737]
-c1cncc(Cc2ccc3[nH]ncc3c2)c1; ['BrCc1cccnc1']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.998939216]
-CC(C)(C)Oc1ccc2[nH]ncc2c1; ['CC(C)(C)O']; ['Fc1ccc2[nH]ncc2c1']; [0.99229455]
-Cc1cc(C)cc(-c2ccc3[nH]ncc3c2)c1; ['Cc1cc(C)cc(Br)c1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Cc1cc(C)cc(B(O)O)c1']; [0.999965787, 0.999965787]
-COc1ccc(OC)c(-c2ccc3[nH]ncc3c2)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)cc1', 'Brc1ccc2[nH]ncc2c1']; ['COc1ccc(OC)c(Br)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'COc1ccc(OC)cc1']; [0.999998212, 0.999998212, 0.999998212, 0.999998212, 0.999998212, 0.999998212, 0.999998212, 0.999998212]
-C[C@@]1(O)CC[C@H](c2ccc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3[nH]ncc3c2)C1; ['Brc1ccc2[nH]ncc2c1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.999787152]
-CNC(=O)c1ccccc1-c1ccncc1; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1']; ['OB(O)c1ccncc1', 'Clc1ccncc1']; [0.999964237, 0.999964237]
-Fc1cc(F)cc(Cc2ccncc2)c1; ['ClCc1ccncc1']; ['Fc1cccc(F)c1']; [0.974182785]
-c1ccc2[nH]c(C3CCN(c4ccc5[nH]ncc5c4)CC3)nc2c1; ['Brc1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999930263, 0.999930263]
-O[C@H]1C[C@@H](c2ccncc2)C1; [None]; [None]; [0]
-c1cc(-c2cc[nH]n2)ccn1; []; []; []
-FC(F)(F)c1cccc(-c2ccncc2)c1; ['Brc1ccncc1', 'Clc1ccncc1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999917388, 0.999917388]
-Fc1ccccc1-c1ccncc1; ['CC1(C)OB(c2ccncc2)OC1(C)C']; ['Fc1ccccc1Br']; [0.999985218]
-CCOc1ccccc1-c1ccncc1; ['Brc1ccncc1']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1']; [0.99995029]
-Clc1ccccc1-c1ccncc1; ['Brc1ccncc1', 'Clc1ccccc1I', 'Brc1ccncc1']; ['CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'OB(O)c1ccncc1', 'OB(O)c1ccccc1Cl']; [0.99972862, 0.99972862, 0.99972862]
-c1ccc2c(-c3ccncc3)ccnc2c1; ['Clc1ccnc2ccccc12', 'Ic1ccncc1', 'Clc1ccncc1']; ['OB(O)c1ccncc1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.999711931, 0.999711931, 0.999711931]
-c1cncc(-c2ccncc2)c1; ['Brc1ccncc1', 'Clc1ccncc1']; ['OB(O)c1cccnc1', 'OB(O)c1cccnc1']; [0.999965072, 0.999965072]
-FC(F)(F)Oc1ccccc1-c1ccncc1; ['Brc1ccncc1']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999051392]
-N#Cc1ccccc1-c1ccncc1; ['N#Cc1ccccc1Br', 'N#Cc1ccccc1Cl']; ['OB(O)c1ccncc1', 'OB(O)c1ccncc1']; [0.999299884, 0.999299884]
-Fc1cccc(F)c1-c1ccncc1; ['Ic1ccncc1', 'Clc1ccncc1']; ['OB(O)c1c(F)cccc1F', 'OB(O)c1c(F)cccc1F']; [0.999856353, 0.999856353]
-c1ccc(Cn2cc(-c3ccncc3)cn2)cc1; ['Brc1ccncc1', 'Brc1ccncc1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'c1ccc(Cn2cccn2)cc1']; [0.999995, 0.999995]
-Brc1ccccc1-c1ccncc1; ['Clc1ccccc1Br', 'Brc1ccncc1']; ['OB(O)c1ccncc1', 'OB(O)c1ccccc1Br']; [0.973353744, 0.973353744]
-c1cc(-c2ccncn2)ccn1; ['Clc1ccncn1']; ['OB(O)c1ccncc1']; [0.999924898]
-NC(=O)c1ccccc1-c1ccncc1; ['NC(=O)c1ccccc1Br']; ['OB(O)c1ccncc1']; [0.998735368]
-N[C@H](c1ccncc1)c1ccco1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ccncc3)[nH]2)cc1; ['Ic1ccncc1']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.993139088]
-c1cc(-c2ccc3c(c2)CCC3)ccn1; ['Ic1ccc2c(c1)CCC2']; ['OB(O)c1ccncc1']; [0.999923825]
-OCCn1cc(-c2ccncc2)cn1; ['OB(O)c1ccncc1']; ['OCCn1cc(Br)cn1']; [0.998296201]
-c1ccn2c(-c3ccncc3)cnc2c1; ['Ic1cnc2ccccn12', 'Brc1ccncc1', 'Ic1ccncc1']; ['OB(O)c1ccncc1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999981523, 0.999981523, 0.999981523]
-Cc1ccc(-c2ccncc2)c(Br)c1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'Cc1ccc(I)c(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'OB(O)c1ccncc1']; [0.999992, 0.999992]
-O=C(Nc1cccc(-c2ccncc2)c1)c1ccccc1; [None]; [None]; [0]
-c1cnn2c(-c3ccncc3)cnc2c1; ['Brc1ccncc1']; ['c1cnn2ccnc2c1']; [0.999972105]
-Cc1nc(C)c(-c2ccncc2)s1; ['Brc1ccncc1']; ['Cc1csc(C)n1']; [0.997083366]
-Clc1cccc(Cl)c1-c1ccncc1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'CC1(C)OB(c2ccncc2)OC1(C)C', 'Clc1cccc(Cl)c1Br']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'OB(O)c1ccncc1']; [0.999991298, 0.999991298, 0.999991298]
-c1cc(OC2CCCCC2)ccn1; ['OC1CCCCC1', 'Fc1ccncc1']; ['Oc1ccncc1', 'OC1CCCCC1']; [0.985915959, 0.985915959]
-c1cc(-c2cnco2)ccn1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccncc2)c1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'Cc1ccc(Cl)c([Mg]Br)c1']; ['Cc1ccc(Cl)c(Br)c1', 'Clc1ccncc1']; [0.999996305, 0.999996305]
-c1cncc(CNc2ccncc2)c1; ['BrCc1cccnc1', 'Ic1ccncc1', 'Brc1ccncc1', 'Nc1ccncc1']; ['Nc1ccncc1', 'NCc1cccnc1', 'NCc1cccnc1', 'O=Cc1cccnc1']; [0.995979309, 0.995979309, 0.995979309, 0.995979309]
-Cc1nc(N)sc1-c1ccncc1; [None]; [None]; [0]
-CC(C)(C)Nc1ccncc1; ['CC(C)(C)N']; ['Clc1ccncc1']; [0.96644032]
-COc1cccc(-c2ccncc2)c1; ['Brc1ccncc1', 'COc1cccc(Br)c1', 'COc1cccc(B(O)O)c1']; ['COc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'OB(O)c1ccncc1', 'Clc1ccncc1']; [0.999993324, 0.999993324, 0.999993324]
-Cc1ncc(-c2ccncc2)[nH]1; [None]; [None]; [0]
-Clc1cccc(-c2ccncc2)c1Cl; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'Clc1cccc(Br)c1Cl', 'Ic1ccncc1', 'Clc1cccc(Br)c1Cl', 'Clc1cccc(I)c1Cl']; ['Clc1cccc(Br)c1Cl', 'Ic1ccncc1', 'OB(O)c1cccc(Cl)c1Cl', 'OB(O)c1ccncc1', 'OB(O)c1ccncc1']; [0.999997139, 0.999997139, 0.999997139, 0.999997139, 0.999997139]
-c1cncc(Nc2ccncc2)c1; ['Clc1ccncc1']; ['Nc1cccnc1']; [0.996546]
-Nc1nccc(-c2ccncc2)n1; ['Nc1nccc(Cl)n1']; ['OB(O)c1ccncc1']; [0.999194562]
-c1ccc2cc(-c3ccncc3)ccc2c1; ['Brc1ccc2ccccc2c1', 'Ic1ccncc1', 'Ic1ccc2ccccc2c1']; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccncc1']; [0.999997377, 0.999997377, 0.999997377]
-Clc1ccc(-c2ccncc2)s1; ['Brc1ccncc1']; ['Clc1cccs1']; [0.999298334]
-C[C@H](CO)Nc1ccncc1; ['C[C@@H](N)CO']; ['Ic1ccncc1']; [0.928179801]
-CC(C)COc1ccncc1; ['Brc1ccncc1', 'CC(C)CO']; ['CC(C)CO', 'Clc1ccncc1']; [0.997749746, 0.997749746]
-c1ccc2c(-c3ccncc3)cncc2c1; ['Brc1cncc2ccccc12', 'Brc1ccncc1']; ['Ic1ccncc1', 'OB(O)c1cncc2ccccc12']; [0.999866247, 0.999866247]
-O=C(Nc1ccncc1)c1cccs1; ['Nc1ccncc1', 'Brc1ccncc1']; ['O=C(O)c1cccs1', 'NC(=O)c1cccs1']; [0.992332, 0.992332]
-c1ccc2c(c1)ncn2-c1ccncc1; ['OB(O)c1ccncc1']; ['c1ccc2[nH]cnc2c1']; [0.999481]
-Oc1cccc(-c2ccncc2)c1; ['OB(O)c1ccncc1']; ['Oc1cccc(Br)c1']; [0.99984014]
-Cn1cncc1-c1ccncc1; ['Brc1ccncc1', 'Cn1ccnc1']; ['Cn1ccnc1', 'Ic1ccncc1']; [0.996191, 0.996191]
-c1cc(Nc2ccncc2)ccn1; [None]; [None]; [0]
-c1coc(-c2ccncc2)c1; ['Brc1ccncc1']; ['OB(O)c1ccco1']; [0.999845386]
-Cn1cc(-c2ccncc2)cn1; ['Cn1cc(I)cn1', 'Brc1ccncc1']; ['OB(O)c1ccncc1', 'Cn1cc(B(O)O)cn1']; [0.999826372, 0.999826372]
-C[C@@H](O)[C@@H](C)Oc1ccncc1; [None]; [None]; [0]
-OCc1cccc(-c2ccncc2)c1; []; []; []
-c1csc(-c2ccncc2)c1; ['Brc1ccncc1']; ['c1ccsc1']; [0.996318102]
-CC(C)Nc1ccncc1; ['CC(C)N', 'CC(C)=O', 'CC(C)N']; ['Clc1ccncc1', 'Nc1ccncc1', 'c1ccc(Oc2ccncc2)cc1']; [0.993498802, 0.993498802, 0.993498802]
-Fc1ccc(-c2ccncc2)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1']; ['OB(O)c1ccncc1', 'OB(O)c1ccncc1', 'OB(O)c1ccncc1']; [0.999960661, 0.999960661, 0.999960661]
-N#CCCc1cccc(-c2ccncc2)c1; ['N#CCCc1cccc(Br)c1']; ['OB(O)c1ccncc1']; [0.999969363]
-COc1ccc(-c2ccncc2)cc1Cl; ['Brc1ccncc1', 'COc1ccc(Cl)cc1Cl', 'Brc1ccncc1']; ['COc1ccc(B(O)O)cc1Cl', 'OB(O)c1ccncc1', 'COc1ccccc1Cl']; [0.999860883, 0.999860883, 0.999860883]
-CCC(=O)Nc1ccc(-c2ccncc2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccncc2)c1; ['Brc1ccncc1', 'CC(=O)Nc1cccc(Br)c1', 'Brc1ccncc1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'OB(O)c1ccncc1', 'CC(=O)Nc1cccc(B(O)O)c1']; [0.99999404, 0.99999404, 0.99999404]
-CCC(=O)Nc1ccncc1; ['CCC(=O)OC(=O)CC', 'CCC(N)=O']; ['Nc1ccncc1', 'Clc1ccncc1']; [0.997600853, 0.997600853]
-CCCn1cc(-c2ccncc2)cn1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['CCCn1cc(Br)cn1', 'Ic1ccncc1']; [0.99999845, 0.99999845]
-Cc1cc(-c2ccncc2)no1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccncc3)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1ccncc1']; [0.999956608]
-CCOC(=O)Cc1ccncc1; []; []; []
-c1cc(-c2cnoc2)ccn1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccncc2)cc1; ['CC(C)(N)c1ccc(Cl)cc1']; ['OB(O)c1ccncc1']; [0.979140937]
-C[S@](=O)c1ccc(-c2ccncc2)cc1; ['CS(=O)c1ccc(Br)cc1', 'Brc1ccncc1']; ['OB(O)c1ccncc1', 'CS(=O)c1ccc(B(O)O)cc1']; [0.999477088, 0.999477088]
-CCN(CC)c1ccncc1; ['CCNCC']; ['Clc1ccncc1']; [0.984900236]
-COc1ccncc1Nc1ccncc1; ['Brc1ccncc1', 'COc1ccncc1N', 'COc1ccncc1N']; ['COc1ccncc1N', 'Clc1ccncc1', 'Ic1ccncc1']; [0.997918427, 0.997918427, 0.997918427]
-O=c1[nH]ccc2oc(-c3ccncc3)cc12; [None]; [None]; [0]
-c1ccc2ncc(Nc3ccncc3)cc2c1; ['Clc1ccncc1', 'Brc1ccncc1', 'Ic1ccncc1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; [0.993422806, 0.993422806, 0.993422806]
-c1ccc2c(-c3ccncc3)c[nH]c2c1; [None]; [None]; [0]
-c1cc(-c2c[nH]c3cnccc23)ccn1; ['Brc1c[nH]c2cnccc12']; ['OB(O)c1ccncc1']; [0.997143805]
-OC[C@H](Cc1ccccc1)c1ccncc1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccncc2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccncc2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccncc2)cc1; ['Brc1ccncc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccncc2)OC1(C)C', 'Clc1ccncc1']; [0.99998951, 0.99998951, 0.99998951]
-N#CC[C@@H]1CC[C@@H](c2ccncc2)CC1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccncc1; ['Ic1ccncc1']; ['NC(=O)c1ccccc1F']; [0.76541543]
-N#C[C@H]1CCOC[C@@H]1c1ccncc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccncc2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1ccncc1']; [0.99929738]
-CS(=O)(=O)c1ccc(-c2ccncc2)cc1; ['CS(=O)(=O)c1ccc(Br)cc1']; ['Ic1ccncc1']; [0.99959439]
-c1ccc2c(c1)cnn2-c1ccncc1; ['NNc1ccncc1', 'Ic1ccncc1']; ['O=Cc1ccccc1Br', 'c1ccc2[nH]ncc2c1']; [0.999985814, 0.999985814]
-Oc1ncccc1-c1ccncc1; ['OB(O)c1ccncc1', 'OB(O)c1ccncc1', 'OB(O)c1ccncc1']; ['Oc1ncccc1I', 'Oc1ncccc1Br', 'Oc1ncccc1Cl']; [0.999665499, 0.999665499, 0.999665499]
-Oc1cccc2c1cnn2-c1ccncc1; [None]; [None]; [0]
-COc1ccc(-c2ccncc2)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'Brc1ccncc1']; ['OB(O)c1ccncc1', 'COc1ccc(B(O)O)c(OC)c1']; [0.999791563, 0.999791563]
-c1cc(Cc2ccncc2)ccn1; ['Brc1ccncc1', 'Brc1ccncc1', 'BrCc1ccncc1', 'BrCc1ccncc1']; ['ClCc1ccncc1', 'Cc1ccncc1', 'F[B-](F)(F)c1ccncc1', 'OB(O)c1ccncc1']; [0.996319771, 0.996319771, 0.996319771, 0.996319771]
-c1cc(OC2CCOCC2)ccn1; ['Clc1ccncc1']; ['OC1CCOCC1']; [0.999180257]
-c1cc(-n2ccnc2)ccn1; ['Brc1ccncc1', 'Ic1ccncc1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.999959946, 0.999959946]
-Oc1ccc2nc(-c3ccncc3)[nH]c2c1; [None]; [None]; [0]
-Nc1nnc(-c2ccncc2)s1; ['N#Cc1ccncc1']; ['NNC(N)=S']; [0.999901175]
-Cc1cncc(-c2ccncc2)n1; ['Cc1cncc(Cl)n1']; ['OB(O)c1ccncc1']; [0.999724805]
-O=C(c1ccccc1)c1ccc(-c2ccncc2)cc1; ['O=C(c1ccccc1)c1ccc(Br)cc1']; ['OB(O)c1ccncc1']; [0.999850035]
-c1cc(-c2ccncc2)c2sccc2c1; ['Brc1cccc2ccsc12']; ['OB(O)c1ccncc1']; [0.999447167]
-Nc1ncc(-c2ccncc2)s1; ['CC(=O)c1ccncc1']; ['NC(N)=S']; [0.980229378]
-c1ccc2sc(-c3ccncc3)nc2c1; ['Nc1ccccc1S', 'NCc1ccncc1', 'Nc1ccccc1S', 'Brc1ccncc1']; ['O=C(O)c1ccncc1', 'O=[N+]([O-])c1ccccc1Cl', 'O=Cc1ccncc1', 'c1ccc2scnc2c1']; [0.9999578, 0.9999578, 0.9999578, 0.9999578]
-COc1cccc(F)c1-c1ccncc1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'COc1cccc(F)c1B(O)O']; ['COc1cccc(F)c1Br', 'Ic1ccncc1']; [0.999999881, 0.999999881]
-COc1ccc(C#N)cc1-c1ccncc1; ['COc1ccc(C#N)cc1Cl']; ['OB(O)c1ccncc1']; [0.999806464]
-Nc1nc(-c2ccncc2)nc2ccccc12; ['N#Cc1ccccc1Br']; ['O=Cc1ccncc1']; [0.999812782]
-c1cncc(Cc2ccncc2)c1; ['BrCc1ccncc1', 'BrCc1ccncc1']; ['OB(O)c1cccnc1', 'Brc1cccnc1']; [0.998119414, 0.998119414]
-CC(C)(C)CNc1ccncc1; ['CC(C)(C)CN', 'CC(C)(C)CN']; ['OB(O)c1ccncc1', 'Clc1ccncc1']; [0.991157174, 0.991157174]
-c1cnc2c(-c3ccncc3)c[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)Oc1ccncc1; ['Brc1ccncc1']; ['CC(C)(C)[O-]']; [0.907813132]
-Cc1cc(C)cc(-c2ccncc2)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ccncc2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccncc2)c1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'Brc1ccncc1', 'Brc1ccncc1']; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1']; [0.999997258, 0.999997258, 0.999997258]
-c1ccc2[nH]c(C3CCN(c4ccncc4)CC3)nc2c1; ['Nc1ccccc1N']; ['O=C(O)C1CCN(c2ccncc2)CC1']; [0.999967217]
-Oc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccncc2)C1; ['Brc1ccncc1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.999716222]
-Clc1cnc2[nH]cc(-c3ccncc3)c2c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3cccc4ncccc34)c2c1; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c3ncc(Cl)cc23)cn1; [None]; [None]; [0]
-CCc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Oc1cc(-c2c[nH]c3ncc(Cl)cc23)ccc1Cl; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3cn[nH]c3)c2c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3n[nH]c4ccccc34)c2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3c(Cl)cccc3Cl)c2c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Oc1ccc(-c2c[nH]c3ncc(Cl)cc23)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2c[nH]c3ncc(Cl)cc23)n1; [None]; [None]; [0]
-Cc1ncc(-c2c[nH]c3ncc(Cl)cc23)[nH]1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2c[nH]c3ncc(Cl)cc23)C1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3cc[nH]c3)c2c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3ccccc3Cl)c2c1; [None]; [None]; [0]
-COc1cc(-c2c[nH]c3ncc(Cl)cc23)ccc1O; [None]; [None]; [0]
-N#Cc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-N#Cc1cnc(-c2c[nH]c3ncc(Cl)cc23)cn1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3cnccn3)c2c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3ccoc3)c2c1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)o1; [None]; [None]; [0]
-COc1cc(CCc2c[nH]c3ncc(Cl)cc23)ccc1O; [None]; [None]; [0]
-N#Cc1ccc(-c2c[nH]c3ncc(Cl)cc23)cn1; [None]; [None]; [0]
-Clc1cccc(OCc2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3cccc(Br)c3)c2c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3cccs3)c2c1; [None]; [None]; [0]
-OCCCc1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Oc1ccc(-c2c[nH]c3ncc(Cl)cc23)c(O)c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3ccncn3)c2c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(COc3ccccc3Cl)c2c1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Fc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1Cl; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1C; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-O=c1ccccn1Cc1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Oc1ncc(-c2c[nH]c3ncc(Cl)cc23)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)cc(-c2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3c[nH]c4ncc(Cl)cc34)cc2[nH]1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1OC; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3nc4ccccc4s3)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Oc1cncc(-c2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2c[nH]c3ncc(Cl)cc23)CC1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-O=C1Cc2cc(-c3c[nH]c4ncc(Cl)cc34)ccc2N1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-CCc1sccc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2c[nH]c3ncc(Cl)cc23)cc1Cl; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-n3ccnc3)c2c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3ccc4c(c3)CCN4)c2c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3nccs3)c2c1; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c3ncc(Cl)cc23)[nH]n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3c[nH]c4ncc(Cl)cc34)cc2[nH]1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(Nc3ccncc3)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Cc1csc(-c2c[nH]c3ncc(Cl)cc23)n1; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c3ncc(Cl)cc23)c(C)n1; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c3ncc(Cl)cc23)nc1C; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3c[nH]c4ncc(Cl)cc34)cc2o1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3cnco3)c2c1; [None]; [None]; [0]
-Oc1c(F)cc(-c2c[nH]c3ncc(Cl)cc23)cc1F; [None]; [None]; [0]
-CSc1cccc(-c2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3c[nH]c4ncc(Cl)cc34)ccc12; [None]; [None]; [0]
-Clc1cnc2[nH]cc(OCc3ccccc3)c2c1; [None]; [None]; [0]
-Fc1ccccc1Oc1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Fc1ccc(Oc2c[nH]c3ncc(Cl)cc23)c(F)c1; [None]; [None]; [0]
-Fc1ccc(-c2c[nH]c3ncc(Cl)cc23)c(Cl)c1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Fc1ccc(Cc2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c([C@@H]2C[C@H](O)C2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(Cc2cc(F)cc(F)c2)cc(Cl)c2cccnc12; ['Fc1cc(F)cc(CCl)c1']; ['Oc1ccc(Cl)c2cccnc12']; [0.962945938]
-CCOc1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-c2cccc(C(F)(F)F)c2)cc(Cl)c2cccnc12; ['OB(O)c1cccc(C(F)(F)F)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999705136]
-Oc1c(-c2cc[nH]n2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2ccnc3ccccc23)cc(Cl)c2cccnc12; ['OB(O)c1ccnc2ccccc12']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.988791347]
-Oc1c(-c2ccccc2F)cc(Cl)c2cccnc12; ['OB(O)c1ccccc1F']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.99665904]
-Oc1c(-c2ccccc2Cl)cc(Cl)c2cccnc12; ['OB(O)c1ccccc1Cl']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.998661399]
-Oc1c(-c2ccccc2OC(F)(F)F)cc(Cl)c2cccnc12; ['OB(O)c1ccccc1OC(F)(F)F']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999992132]
-N#Cc1ccccc1-c1cc(Cl)c2cccnc2c1O; ['N#Cc1ccccc1B(O)O']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.992446244]
-Oc1c(-c2cccnc2)cc(Cl)c2cccnc12; ['OB(O)c1cccnc1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.997138619]
-Oc1c(-c2c(F)cccc2F)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2cnn(Cc3ccccc3)c2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2ccccc2Br)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2ccncn2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-c2cnc(-c3ccccc3)[nH]2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc(Cl)c3cccnc3c2O)c1)c1ccccc1; [None]; [None]; [0]
-Oc1c(-c2ccc3c(c2)CCC3)cc(Cl)c2cccnc12; [None]; [None]; [0]
-OCCn1cc(-c2cc(Cl)c3cccnc3c2O)cn1; [None]; [None]; [0]
-Oc1c(-c2cnco2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2cnc3ccccn23)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Cc1ccc(-c2cc(Cl)c3cccnc3c2O)c(Br)c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-c2cnc3cccnn23)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc(Cl)c3cccnc3c2O)s1; [None]; [None]; [0]
-Oc1c(OC2CCCCC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CC(C)(C)Nc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-c2cccc(Cl)c2Cl)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(NCc2cccnc2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2c(Cl)cccc2Cl)cc(Cl)c2cccnc12; [None]; [None]; [0]
-COc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
-Nc1nccc(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
-Oc1c(Nc2cccnc2)cc(Cl)c2cccnc12; ['Nc1cccnc1']; ['Oc1c(I)cc(Cl)c2cccnc12']; [0.896774471]
-Cc1ncc(-c2cc(Cl)c3cccnc3c2O)[nH]1; [None]; [None]; [0]
-Oc1c(-c2ccc3ccccc3c2)cc(Cl)c2cccnc12; ['OB(O)c1ccc2ccccc2c1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999972701]
-Oc1c(-c2ccc(Cl)s2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CC(C)COc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-C[C@H](CO)Nc1cc(Cl)c2cccnc2c1O; ['C[C@@H](N)CO']; ['Oc1c(Cl)cc(Cl)c2cccnc12']; [0.869717896]
-Oc1c(-n2cnc3ccccc32)cc(Cl)c2cccnc12; [None]; [None]; [0]
-O=C(Nc1cc(Cl)c2cccnc2c1O)c1cccs1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-c2cncc3ccccc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; ['OB(O)c1cccc(O)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.99936229]
-OCc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; ['OCc1cccc(B(O)O)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.99802655]
-Cn1cncc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(Nc2ccncc2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2cccs2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2ccco2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Cn1cc(-c2cc(Cl)c3cccnc3c2O)cn1; [None]; [None]; [0]
-CC(C)Nc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-N#CCCc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
-Oc1c(-c2ccc(F)cc2C(F)(F)F)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999839067]
-CCC(=O)Nc1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc(Cl)c3cccnc3c2O)no1; ['Cc1ccno1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.981445253]
-COc1ccc(-c2cc(Cl)c3cccnc3c2O)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999950767]
-CCC(=O)Nc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cc(Cl)c4cccnc4c3O)c21; [None]; [None]; [0]
-CCCn1cc(-c2cc(Cl)c3cccnc3c2O)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Oc1c(I)cc(Cl)c2cccnc12']; [0.999993682]
-Oc1c(-c2cnoc2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CCOC(=O)Cc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999734342]
-CC(C)(N)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; [None]; [None]; [0]
-Oc1c(-c2c[nH]c3ccccc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CCN(CC)c1cc(Cl)c2cccnc2c1O; ['CCNCC']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.992231965]
-O=c1[nH]ccc2oc(-c3cc(Cl)c4cccnc4c3O)cc12; [None]; [None]; [0]
-Oc1c(-c2c[nH]c3cnccc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(Nc2cnc3ccccc3c2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-COc1ccncc1Nc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cc(Cl)c3cccnc3c2O)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cc(Cl)c3cccnc3c2O)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999688506]
-N#CC[C@@H]1CC[C@@H](c2cc(Cl)c3cccnc3c2O)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999982357]
-CNS(=O)(=O)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-n2ncc3ccccc32)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(Cc2ccncc2)cc(Cl)c2cccnc12; ['ClCc1ccncc1']; ['Oc1ccc(Cl)c2cccnc12']; [0.962101579]
-Oc1ncccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1ccc2nc(-c3cc(Cl)c4cccnc4c3O)[nH]c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; ['Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12']; [0.999974966, 0.999974966]
-Oc1c(OC2CCOCC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-COc1ccc(-c2cc(Cl)c3cccnc3c2O)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999872327]
-Nc1ncc(-c2cc(Cl)c3cccnc3c2O)s1; [None]; [None]; [0]
-Nc1nnc(-c2cc(Cl)c3cccnc3c2O)s1; [None]; [None]; [0]
-Oc1c(-n2ccnc2)cc(Cl)c2cccnc12; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.990993083, 0.990993083]
-COc1cccc(F)c1-c1cc(Cl)c2cccnc2c1O; ['COc1cccc(F)c1B(O)O']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999992728]
-Cc1cncc(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
-Oc1c(-c2nc3ccccc3s2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Nc1nc(-c2cc(Cl)c3cccnc3c2O)nc2ccccc12; [None]; [None]; [0]
-Oc1c(-c2cccc3ccsc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2c[nH]c3cccnc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(Cc2cccnc2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CC(C)(C)Oc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cc(Cl)c3cccnc3c2O)CC1; [None]; [None]; [0]
-CC(C)(C)CNc1cc(Cl)c2cccnc2c1O; ['CC(C)(C)CN']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.984611452]
-COc1ccc(OC)c(-c2cc(Cl)c3cccnc3c2O)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999935746]
-Cc1cc(C)cc(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
-Oc1c(N2CCC(c3nc4ccccc4[nH]3)CC2)cc(Cl)c2cccnc12; ['Oc1c(Br)cc(Cl)c2cccnc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.992596]
-Oc1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1']; ['OB(O)c1ccc(O)cc1']; [0.997156501]
-c1cc(-c2cnc3nc[nH]c3c2)ccn1; ['Brc1cnc2nc[nH]c2c1']; ['OB(O)c1ccncc1']; [0.999983549]
-c1cc(-c2cnc3nc[nH]c3c2)c2cccnc2c1; ['Brc1cnc2nc[nH]c2c1']; ['OB(O)c1cccc2ncccc12']; [0.999746859]
-Oc1c(N2CC=C(c3c[nH]c4ccccc34)CC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CCc1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1']; ['CCc1ccc(B(O)O)cc1']; [0.999696851]
-Oc1cc(-c2cnc3nc[nH]c3c2)ccc1Cl; [None]; [None]; [0]
-Cn1cc(-c2cnc3nc[nH]c3c2)cn1; ['Brc1cnc2nc[nH]c2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999974847]
-c1ccc2c(-c3cnc4nc[nH]c4c3)n[nH]c2c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999131143]
-CNS(=O)(=O)c1ccc(-c2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999869585]
-c1nc2ncc(-c3cn[nH]c3)cc2[nH]1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['OB(O)c1c(F)cccc1F']; [0.999382]
-Fc1ccc(Oc2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1']; ['Oc1ccc(F)cc1']; [0.99917078]
-Oc1ccc(-c2cnc3nc[nH]c3c2)c(Cl)c1; [None]; [None]; [0]
-Cc1ncc(-c2cnc3nc[nH]c3c2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2cnc3nc[nH]c3c2)n1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cnc3nc[nH]c3c2)C1; [None]; [None]; [0]
-Clc1ccccc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['OB(O)c1ccccc1Cl', 'Clc1ccccc1I']; [0.997074842, 0.997074842]
-COc1cc(-c2cnc3nc[nH]c3c2)ccc1O; [None]; [None]; [0]
-c1cc(-c2cnc3nc[nH]c3c2)c[nH]1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1']; ['N#Cc1ccc(B(O)O)cc1']; [0.999951124]
-c1nc2ncc(-c3ccoc3)cc2[nH]1; ['Brc1cnc2nc[nH]c2c1']; ['OB(O)c1ccoc1']; [0.996093333]
-N#Cc1cnc(-c2cnc3nc[nH]c3c2)cn1; [None]; [None]; [0]
-c1cnc(-c2cnc3nc[nH]c3c2)cn1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnc3nc[nH]c3c2)o1; ['Brc1cnc2nc[nH]c2c1']; ['COC(=O)c1ccco1']; [0.87611407]
-N#Cc1ccc(-c2cnc3nc[nH]c3c2)cn1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2ccc(C#N)nc2)OC1(C)C', 'N#Cc1ccc(B(O)O)cn1']; [0.999857306, 0.999857306]
-Clc1cccc(OCc2cnc3nc[nH]c3c2)c1; [None]; [None]; [0]
-COc1cc(CCc2cnc3nc[nH]c3c2)ccc1O; [None]; [None]; [0]
-Brc1cccc(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1']; ['OB(O)c1cccc(Br)c1']; [0.981895387]
-c1csc(-c2cnc3nc[nH]c3c2)c1; [None]; [None]; [0]
-OCCCc1cnc2nc[nH]c2c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1']; ['COC(=O)c1ccc(Cl)c(Br)c1']; [0.968325555]
-Oc1ccc(-c2cnc3nc[nH]c3c2)c(O)c1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3nc[nH]c3c2)cc1Cl; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(I)cc1Cl']; [0.999991417, 0.999991417]
-c1cc(-c2cnc3nc[nH]c3c2)ncn1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3nc[nH]c3c2)cc1C; ['Brc1cnc2nc[nH]c2c1']; ['Cc1ccc(B(O)O)cc1C']; [0.999809921]
-Clc1ccccc1OCc1cnc2nc[nH]c2c1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2cnc3nc[nH]c3c2)c1; [None]; [None]; [0]
-Oc1ncc(-c2cnc3nc[nH]c3c2)cc1Cl; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1']; ['COc1cc(OC)cc(B(O)O)c1']; [0.999166965]
-COc1ccc(-c2cnc3nc[nH]c3c2)cc1OC; ['Brc1cnc2nc[nH]c2c1']; ['COc1ccc(B(O)O)cc1OC']; [0.999428332]
-O=c1ccccn1Cc1cnc2nc[nH]c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.99998641]
-NC(=O)Nc1ccc(-c2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cnc4nc[nH]c4c3)ccc2N1; ['Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; [0.999975562]
-Cc1nc2ccc(-c3cnc4nc[nH]c4c3)cc2[nH]1; [None]; [None]; [0]
-Oc1cncc(-c2cnc3nc[nH]c3c2)c1; [None]; [None]; [0]
-c1ccc2sc(-c3cnc4nc[nH]c4c3)nc2c1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cnc3nc[nH]c3c2)CC1; [None]; [None]; [0]
-c1cn(-c2cnc3nc[nH]c3c2)cn1; ['Brc1cnc2nc[nH]c2c1']; ['c1c[nH]cn1']; [0.999221921]
-Cc1cccc(C)c1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['Cc1cccc(C)c1B(O)O']; [0.999627352]
-Cc1cc(O)ccc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['Cc1cc(O)ccc1B(O)O']; [0.994665861]
-Oc1c(Cl)cc(-c2cnc3nc[nH]c3c2)cc1Cl; [None]; [None]; [0]
-c1csc(-c2cnc3nc[nH]c3c2)n1; [None]; [None]; [0]
-CCc1sccc1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3cnc4nc[nH]c4c3)cc2[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cnc3nc[nH]c3c2)[nH]n1; [None]; [None]; [0]
-c1cc(Nc2cnc3nc[nH]c3c2)ccn1; ['Brc1cnc2nc[nH]c2c1']; ['Nc1ccncc1']; [0.998874605]
-c1nc2ncc(-c3ccc4c(c3)CCN4)cc2[nH]1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['OB(O)c1ccc(Br)cc1F']; [0.992416382]
-Cc1ccc(-c2cnc3nc[nH]c3c2)nc1C; [None]; [None]; [0]
-Cc1csc(-c2cnc3nc[nH]c3c2)n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999996662]
-Oc1cc(Br)cc(-c2cnc3nc[nH]c3c2)c1; [None]; [None]; [0]
-c1nc2ncc(-c3cnco3)cc2[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3nc[nH]c3c2)c(C)n1; [None]; [None]; [0]
-Oc1c(F)cc(-c2cnc3nc[nH]c3c2)cc1F; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3cnc4nc[nH]c4c3)ccc12; [None]; [None]; [0]
-Fc1ccc(Oc2cnc3nc[nH]c3c2)c(F)c1; ['Brc1cnc2nc[nH]c2c1']; ['Oc1ccc(F)cc1F']; [0.999870658]
-Cc1nc2ccc(-c3cnc4nc[nH]c4c3)cc2o1; [None]; [None]; [0]
-CSc1cccc(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1']; ['CSc1cccc(B(O)O)c1']; [0.966719508]
-Fc1ccccc1Oc1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['Oc1ccccc1F']; [0.997477591]
-c1ccc(COc2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['NCc1c(F)cccc1Cl']; [0.999919653]
-Fc1ccc(-c2cnc3nc[nH]c3c2)c(Cl)c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(I)c(Cl)c1']; [0.999681354, 0.999681354]
-Cn1cc(-c2ccc(C#N)cc2)ccc1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'Cn1cc(I)ccc1=O']; ['N#Cc1ccc(Br)cc1', 'N#Cc1ccc(B(O)O)cc1']; [0.999982357, 0.999982357]
-Cc1n[nH]cc1-c1ccc(=O)n(C)c1; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1', 'Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; ['Cn1cc(Br)ccc1=O', 'Cn1cc(Cl)ccc1=O']; [0.99969244, 0.99969244]
-Fc1ccc(Cc2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2ccc(=O)n(C)c2)cc1; ['CCOc1ccc(Br)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'Cn1cc(Br)ccc1=O']; [0.999991059, 0.999991059]
-COc1ncccc1-c1ccc(=O)n(C)c1; ['COc1ncccc1B(O)O']; ['Cn1cc(I)ccc1=O']; [0.999770105]
-Cn1cc(-c2cccc(S(C)(=O)=O)c2)ccc1=O; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C']; ['Cn1cc(Br)ccc1=O']; [0.999999642]
-Cn1nncc1-c1ccc(=O)n(C)c1; ['Cn1cc(Br)ccc1=O']; ['Cn1ccnn1']; [0.997309208]
-Cn1cc(-c2ccc(=O)n(C)c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cn1cc(Br)ccc1=O']; [0.99997437]
-COc1cc(-c2ccc(=O)n(C)c2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC']; ['Cn1cc(Br)ccc1=O']; [0.999889255]
-Cc1nn(C)cc1-c1ccc(=O)n(C)c1; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Cn1cc(Br)ccc1=O', 'Cn1cc(I)ccc1=O']; [0.99985826, 0.99985826]
-Cn1cc(-c2cccc(O)c2)ccc1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'Cn1cc(I)ccc1=O', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Cn1cc(Br)ccc1=O']; [0.999985337, 0.999985337, 0.999985337]
-Cn1cc(-c2cnc3cccnn23)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['c1cnn2ccnc2c1']; [0.999686241]
-COc1ccc(-c2ccc(=O)n(C)c2)cc1; ['COc1ccc(B(O)O)cc1']; ['Cn1cc(Br)ccc1=O']; [0.999806225]
-Cc1cc(Nc2ccc(=O)n(C)c2)sn1; ['Cc1cc(N)sn1']; ['Cn1cc(Br)ccc1=O']; [0.998084307]
-Cn1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)ccc1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; ['O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.999995828]
-Cn1cc(-c2nc3ccccc3[nH]2)ccc1=O; ['CCOC(=O)c1ccc(=O)n(C)c1']; ['Nc1ccccc1N']; [0.978702486]
-Cn1cc(-c2ccc(C(N)=O)cc2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999840856]
-Cn1cc(Nc2ncccn2)ccc1=O; ['CS(=O)c1ncccn1']; ['Cn1cc(N)ccc1=O']; [0.991240442]
-Cn1cc(-c2cccc(F)c2)ccc1=O; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C', 'Cn1cc(Br)ccc1=O']; ['Cn1cc(Br)ccc1=O', 'OB(O)c1cccc(F)c1']; [0.999998093, 0.999998093]
-Cn1cc(NC(=O)C2CC2)ccc1=O; ['Cn1cc(N)ccc1=O']; ['O=C(O)C1CC1']; [0.997646749]
-Cn1cc(-c2ccc(OCCO)cc2)ccc1=O; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C']; ['Cn1cc(Br)ccc1=O']; [0.999998808]
-Cn1cc(-c2cccc(C3CCNCC3)c2)ccc1=O; ['Brc1cccc(C2CCNCC2)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999999762]
-Cn1cc(Cc2nccc3ccccc23)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cl)cc2)ccc1=O; ['Cn1cc(I)ccc1=O']; ['OB(O)c1ccc(Cl)cc1']; [0.999835134]
-Cn1cc(Nc2ccncn2)ccc1=O; ['Clc1ccncn1', 'Cn1cc(N)ccc1=O']; ['Cn1cc(N)ccc1=O', 'O=c1ccnc[nH]1']; [0.999288, 0.999288]
-Cc1cc(-c2ccc(=O)n(C)c2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccc(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(F)(F)F)cc2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.99993372]
-CNS(=O)(=O)c1ccc(-c2ccc(=O)n(C)c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999505401]
-CN(C)c1ccc(-c2ccc(=O)n(C)c2)cc1; ['CN(C)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)ccc1=O']; [0.999928117]
-Cn1cc(Cc2ccccc2O)ccc1=O; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc(=O)n(C)c2)s1; ['Cc1csc(C)n1']; ['Cn1cc(Br)ccc1=O']; [0.996599495]
-Cn1cc(Cc2ccncc2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cnc(Cl)nc2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['OB(O)c1cnc(Cl)nc1']; [0.999067247]
-Cn1cc(Cc2cccnc2)ccc1=O; [None]; [None]; [0]
-Cn1cc(C[C@H](O)CO)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cncnc2)ccc1=O; ['Brc1cncnc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999989867]
-Cn1cc(-c2ccc(Br)cc2)ccc1=O; ['Brc1ccc(Br)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999881268]
-Cn1cc(-n2ccnc2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['c1c[nH]cn1']; [0.998029292]
-COc1ccc(Cl)cc1-c1ccc(=O)n(C)c1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O']; ['Cn1cc(I)ccc1=O', 'Cn1ccccc1=O']; [0.999979258, 0.999979258]
-Cn1cc(-c2cn[nH]c2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['OB(O)c1cn[nH]c1']; [0.999666214]
-Cn1cc(-c2ccc[nH]2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['c1cc[nH]c1']; [0.783210278]
-Cn1cc(-c2ccc3c(c2)CCO3)ccc1=O; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'Cn1cc(I)ccc1=O']; ['Cn1cc(Br)ccc1=O', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'OB(O)c1ccc2c(c1)CCO2']; [0.999995947, 0.999995947, 0.999995947]
-COc1ccc(Cc2ccc(=O)n(C)c2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc(=O)n(C)c2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Cn1cc(Br)ccc1=O']; [0.999934673]
-Cn1cc(-c2cc3ccccc3cn2)ccc1=O; ['Clc1cc2ccccc2cn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999968052]
-Cn1cc(-c2c[nH]c3ccccc23)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2scc3c2OCCO3)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['c1scc2c1OCCO2']; [0.999884367]
-Cn1cc(Cn2ccnc2)ccc1=O; [None]; [None]; [0]
-COc1cc(-c2ccc(=O)n(C)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Cn1cc(Br)ccc1=O']; [0.999892]
-Cn1cc(-c2cnc3ccccc3c2)ccc1=O; ['Cn1cc(I)ccc1=O']; ['OB(O)c1cnc2ccccc2c1']; [0.999817431]
-Cn1cc(-c2cccc3c2OCO3)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(C)(C)C)cc2)ccc1=O; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)ccc1=O']; [0.999974489]
-Cn1cc(-c2ccc(F)c(F)c2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccco2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['OB(O)c1ccco1']; [0.99980396]
-Cn1cc(OCC2(C)COC2)ccc1=O; [None]; [None]; [0]
-CSc1cccc(-c2ccc(=O)n(C)c2)c1; ['CSc1cccc(B(O)O)c1']; ['Cn1cc(I)ccc1=O']; [0.999836445]
-COCCOc1ccc(=O)n(C)c1; ['COCCO']; ['Cn1cc(Br)ccc1=O']; [0.996359766]
-Cc1cc(-c2ccc(=O)n(C)c2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999995947]
-Cn1cc([C@@H]2CC[C@@H](O)CC2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(F)cc2Cl)ccc1=O; ['Cn1cc(Br)ccc1=O', 'Cn1cc(I)ccc1=O']; ['OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [0.999982834, 0.999982834]
-COc1ccc(-c2ccc(=O)n(C)c2)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['Cn1cc(I)ccc1=O']; [0.998692334]
-Cn1cc([C@H](CO)Cc2ccccc2)ccc1=O; [None]; [None]; [0]
-Cn1cc([C@H]2CC[C@@H](O)C2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cl)cc2Cl)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.999915719]
-CCc1ccc(-c2ccc(=O)n(C)c2)cc1; ['CCc1ccc(Br)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999907732]
-Cn1cc(-c2ncc(Br)cn2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccsc2)ccc1=O; ['CC1(C)OB(c2ccsc2)OC1(C)C']; ['Cn1cc(Br)ccc1=O']; [0.99999547]
-COc1ccc(CNc2ccc(=O)n(C)c2)cc1; ['COc1ccc(CN)cc1']; ['Cn1cc(Br)ccc1=O']; [0.994140446]
-Cc1cc(C)cc(-c2ccc(=O)n(C)c2)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Cn1cc(Br)ccc1=O']; [0.999285519]
-COc1ccc2cccc(-c3ccc(=O)n(C)c3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(=O)n(C)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(-c2ccc(=O)n(C)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Cn1cc(Br)ccc1=O', 'Cn1cc(I)ccc1=O', 'Cn1ccccc1=O']; [0.999996185, 0.999996185, 0.999996185]
-COc1cc(F)c(-c2ccc(=O)n(C)c2)cc1OC; [None]; [None]; [0]
-Cc1cc(Nc2ccc(=O)n(C)c2)nn1C; ['Cc1cc(N)nn1C']; ['Cn1cc(Br)ccc1=O']; [0.999005735]
-Cc1ccc(-c2ccc(=O)n(C)c2)o1; ['Cc1ccc(B(O)O)o1', 'Cc1ccco1']; ['Cn1cc(Br)ccc1=O', 'Cn1cc(Br)ccc1=O']; [0.998716474, 0.998716474]
-COc1cc(OC)cc(-c2ccc(=O)n(C)c2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Cn1cc(Br)ccc1=O', 'Cn1cc(Br)ccc1=O']; [0.999959469, 0.999959469]
-Cn1cc(-c2cccc3ccc(O)cc23)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc3cn[nH]c3c2)ccc1=O; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Cn1cc(Br)ccc1=O']; ['Cn1cc(Br)ccc1=O', 'OB(O)c1ccc2cn[nH]c2c1']; [0.999998331, 0.999998331]
-CCn1cc(-c2ccc(=O)n(C)c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cn1cc(Br)ccc1=O']; [0.999947309]
-Cn1cc(-c2cc3ccccc3o2)ccc1=O; ['Cn1cc(I)ccc1=O', 'Cn1cc(Br)ccc1=O']; ['OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1']; [0.999667287, 0.999667287]
-Cc1nc(Nc2ccc(=O)n(C)c2)sc1C; ['Cc1nc(N)sc1C']; ['Cn1cc(I)ccc1=O']; [0.999970913]
-COC(=O)Nc1ccc(=O)n(C)c1; ['COC(=O)Cl', 'COC(N)=O']; ['Cn1cc(N)ccc1=O', 'Cn1cc(Br)ccc1=O']; [0.997578919, 0.997578919]
-Cn1cc(-c2ccc(OC(F)(F)F)cc2)ccc1=O; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Cn1cc(Br)ccc1=O']; ['Cn1cc(Br)ccc1=O', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999999881, 0.999999881]
-COc1cc(-c2ccc(=O)n(C)c2)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.997271836]
-CCc1cccc(-c2ccc(=O)n(C)c2)n1; [None]; [None]; [0]
-CC(C)Oc1ccc(=O)n(C)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(=O)n(C)c2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(I)ccc1=O', 'Cn1cc(Br)ccc1=O']; [0.999983191, 0.999983191]
-Cn1cc(-c2cscn2)ccc1=O; ['Brc1cscn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999997377]
-Cc1ccc(-c2ccc(=O)n(C)c2)nc1C; [None]; [None]; [0]
-Cn1cc(-c2ccc(CCO)cc2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc(N3CCCC3=O)c2)ccc1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; ['O=C1CCCN1c1cccc(Br)c1']; [0.999999285]
-Cn1cc(Nc2ccc(F)cn2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['Nc1ccc(F)cn1']; [0.997622669]
-Cn1cc(Nc2ccccn2)ccc1=O; ['Cn1cc(I)ccc1=O']; ['Nc1ccccn1']; [0.995296776]
-CCOc1ccccc1-c1ccc(=O)n(C)c1; ['CCOc1ccccc1B(O)O']; ['Cn1cc(I)ccc1=O']; [0.999908805]
-COc1cc(N2CCNCC2)ccc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2cc(S(C)(=O)=O)ccc2Cl)ccc1=O; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999999404]
-CNC(=O)c1ccccc1-c1ccc(=O)n(C)c1; ['CNC(=O)c1ccccc1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999925613]
-Cn1cc([C@@H]2C[C@H](O)C2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccnc3ccccc23)ccc1=O; ['Cn1cc(I)ccc1=O']; ['OB(O)c1ccnc2ccccc12']; [0.999200165]
-Cn1cc(-c2cccnc2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['OB(O)c1cccnc1']; [0.999460518]
-Cn1cc(Cc2cc(F)cc(F)c2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc(C(F)(F)F)c2)ccc1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'Cn1cc(Br)ccc1=O', 'Cn1ccccc1=O']; ['FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999997258, 0.999997258, 0.999997258]
-Cn1cc(-c2ccccc2Cl)ccc1=O; ['Cn1cc(Br)ccc1=O', 'Cn1cc(I)ccc1=O']; ['OB(O)c1ccccc1Cl', 'OB(O)c1ccccc1Cl']; [0.999973416, 0.999973416]
-Cn1cc(-c2cc[nH]n2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['OB(O)c1cc[nH]n1']; [0.997937441]
-Cn1cc(-c2ccccc2OC(F)(F)F)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.99995327]
-Cn1cc(-c2ccccc2Br)ccc1=O; ['Brc1ccccc1I', 'Cn1cc(Br)ccc1=O']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'OB(O)c1ccccc1Br']; [0.999954939, 0.999954939]
-Cn1cc(-c2ccccc2F)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['OB(O)c1ccccc1F']; [0.999467075]
-Cn1cc(-c2ccccc2C#N)ccc1=O; ['Cn1cc(I)ccc1=O']; ['N#Cc1ccccc1B(O)O']; [0.99980396]
-Cn1cc(-c2c(F)cccc2F)ccc1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'Cn1cc(Br)ccc1=O']; ['Fc1cccc(F)c1Br', 'OB(O)c1c(F)cccc1F']; [0.999999642, 0.999999642]
-Cn1cc(-c2ccccc2C(N)=O)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cnn(Cc3ccccc3)c2)ccc1=O; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Cn1cc(Br)ccc1=O']; [0.999983788]
-Cn1cc([C@@H](N)c2ccco2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccncn2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cnc(-c3ccccc3)[nH]2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)CCC3)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc(NC(=O)c3ccccc3)c2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cnn(CCO)c2)ccc1=O; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Cn1cc(Br)ccc1=O']; [0.999990106]
-Cn1cc(-c2cnc3ccccn23)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['c1ccn2ccnc2c1']; [0.999989271]
-Cn1cc(-c2cnco2)ccc1=O; [None]; [None]; [0]
-Cn1cc(NC(C)(C)C)ccc1=O; ['CC(C)(C)N']; ['Cn1cc(Br)ccc1=O']; [0.964709103]
-Cn1cc(-c2c(Cl)cccc2Cl)ccc1=O; ['Clc1cccc(Cl)c1I', 'Cn1cc(Br)ccc1=O']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'OB(O)c1c(Cl)cccc1Cl']; [0.999998569, 0.999998569]
-Cc1ccc(-c2ccc(=O)n(C)c2)c(Br)c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccc(=O)n(C)c2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Cn1cc(Br)ccc1=O']; [0.998859167]
-Cn1cc(-c2cccc(Cl)c2Cl)ccc1=O; ['Clc1cccc(Br)c1Cl', 'Cn1cc(Br)ccc1=O', 'Clc1cccc(I)c1Cl', 'Cn1cc(I)ccc1=O', 'Cn1ccccc1=O']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'OB(O)c1cccc(Cl)c1Cl', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'OB(O)c1cccc(Cl)c1Cl', 'OB(O)c1cccc(Cl)c1Cl']; [0.999987125, 0.999987125, 0.999987125, 0.999987125, 0.999987125]
-Cc1nc(N)sc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(=O)n(C)c2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2ccnc(N)n2)ccc1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; ['Nc1nccc(Cl)n1']; [0.999988675]
-Cn1cc(-c2ccc3ccccc3c2)ccc1=O; ['Brc1ccc2ccccc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999994278]
-Cn1cc(-c2ccc(Cl)s2)ccc1=O; ['Cn1cc(Br)ccc1=O', 'Clc1cccs1']; ['OB(O)c1ccc(Cl)s1', 'Cn1cc(I)ccc1=O']; [0.999949813, 0.999949813]
-Cn1cc(OC2CCCCC2)ccc1=O; [None]; [None]; [0]
-Cn1cc(NCc2cccnc2)ccc1=O; ['Cn1cc(N)ccc1=O']; ['O=Cc1cccnc1']; [0.832642436]
-COc1cccc(-c2ccc(=O)n(C)c2)c1; ['COc1cccc(Br)c1', 'COc1cccc(B(O)O)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'Cn1cc(Br)ccc1=O']; [0.999996662, 0.999996662]
-Cn1cc(Nc2cccnc2)ccc1=O; ['Cn1cc(Br)ccc1=O', 'Brc1cccnc1', 'Cn1cc(N)ccc1=O']; ['Nc1cccnc1', 'Cn1cc(N)ccc1=O', 'O=S(=O)(Oc1cccnc1)C(F)(F)F']; [0.99654007, 0.99654007, 0.99654007]
-C[C@H](CO)Nc1ccc(=O)n(C)c1; ['C[C@@H](N)CO']; ['Cn1cc(Cl)ccc1=O']; [0.971567929]
-Cn1cc(NC(=O)c2cccs2)ccc1=O; ['Cn1cc(N)ccc1=O']; ['O=C(Cl)c1cccs1']; [0.999300241]
-Cn1cc(-n2cnc3ccccc32)ccc1=O; [None]; [None]; [0]
-CC(C)COc1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2cncc3ccccc23)ccc1=O; ['Brc1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Cn1cc(Br)ccc1=O', 'Brc1cncc2ccccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'Cn1cc(Br)ccc1=O', 'OB(O)c1cncc2ccccc12', 'Cn1cc(Br)ccc1=O']; [0.999996781, 0.999996781, 0.999996781, 0.999996781]
-Cn1cc(-c2cccc(CO)c2)ccc1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C']; ['OCc1cccc(Br)c1', 'Cn1cc(Br)ccc1=O']; [0.999979496, 0.999979496]
-Cn1cc(Nc2ccncc2)ccc1=O; ['Clc1ccncc1', 'Brc1ccncc1']; ['Cn1cc(N)ccc1=O', 'Cn1cc(N)ccc1=O']; [0.986721039, 0.986721039]
-C[C@@H](O)[C@@H](C)Oc1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2cccs2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['c1ccsc1']; [0.995599627]
-Cn1cc(-c2cccc(CCC#N)c2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['N#CCCc1cccc(Br)c1']; [0.847472966]
-Cn1cncc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccc(=O)n(C)c2)cc1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(=O)n(C)c1; ['CCC(=O)O', 'CCC(=O)OC(=O)CC']; ['Cn1cc(N)ccc1=O', 'Cn1cc(N)ccc1=O']; [0.991852, 0.991852]
-CC(C)Nc1ccc(=O)n(C)c1; ['CC(C)=O']; ['Cn1cc(N)ccc1=O']; [0.904574335]
-COc1ccc(-c2ccc(=O)n(C)c2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Cn1cc(Br)ccc1=O']; [0.999874115]
-Cn1cc(-c2ccc(F)cc2C(F)(F)F)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999993443]
-CCCn1cc(-c2ccc(=O)n(C)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cn1cc(Br)ccc1=O']; [0.999994278]
-Cn1cc(-c2cnoc2)ccc1=O; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)n(C)c2)no1; [None]; [None]; [0]
-CCOC(=O)Cc1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(C)(C)N)cc2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc3c2C(=O)CC3)ccc1=O; [None]; [None]; [0]
-CCN(CC)c1ccc(=O)n(C)c1; ['CCNCC']; ['Cn1cc(Br)ccc1=O']; [0.912093222]
-Cn1cc(-c2cc3c(=O)[nH]ccc3o2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc([S@](C)=O)cc2)ccc1=O; ['CS(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)ccc1=O']; [0.9992311]
-Cn1cc(Nc2cnc3ccccc3c2)ccc1=O; ['Cn1cc(Br)ccc1=O', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Cn1cc(Cl)ccc1=O']; ['Nc1cnc2ccccc2c1', 'Cn1cc(N)ccc1=O', 'Cn1cc(N)ccc1=O', 'Nc1cnc2ccccc2c1']; [0.997846603, 0.997846603, 0.997846603, 0.997846603]
-COc1ccncc1Nc1ccc(=O)n(C)c1; ['COc1ccncc1Br', 'COc1ccncc1I', 'COc1ccncc1N', 'COc1ccncc1N']; ['Cn1cc(N)ccc1=O', 'Cn1cc(N)ccc1=O', 'Cn1cc(I)ccc1=O', 'Cn1cc(Br)ccc1=O']; [0.999829888, 0.999829888, 0.999829888, 0.999829888]
-Cn1cc(-c2c[nH]c3cnccc23)ccc1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](C#N)CC2)ccc1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CCCN(C(=O)CC#N)C2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)ccc1=O; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Cn1cc(Br)ccc1=O', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999983191, 0.999983191]
-Cn1cc([C@@H]2CC[C@@H](CC#N)CC2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-n2ncc3ccccc32)ccc1=O; ['Cn1cc(I)ccc1=O', 'Cn1cc(Br)ccc1=O']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.983177, 0.983177]
-Cn1cc([C@H]2COCC[C@@H]2C#N)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(S(C)(=O)=O)cc2)ccc1=O; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)ccc1=O']; [0.999887586]
-Cn1cc(-c2cccc(F)c2C(N)=O)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2nc3ccc(O)cc3[nH]2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-n2ncc3c(O)cccc32)ccc1=O; [None]; [None]; [0]
-COc1ccc(-c2ccc(=O)n(C)c2)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'Cn1cc(Br)ccc1=O', 'Cn1cc(Br)ccc1=O']; [0.999944925, 0.999944925, 0.999944925]
-Cn1cc(-c2cccnc2O)ccc1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; ['Oc1ncccc1Br']; [0.999988556]
-Cn1cc(-c2ccc(C(=O)c3ccccc3)cc2)ccc1=O; ['Cn1cc(I)ccc1=O', 'Cn1cc(Br)ccc1=O']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999833941, 0.999833941]
-Cn1cc(-c2nnc(N)s2)ccc1=O; ['Cn1cc(C(=O)O)ccc1=O']; ['NNC(N)=S']; [0.999389291]
-Cn1cc(OC2CCOCC2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2nc3ccccc3s2)ccc1=O; ['Cn1cc(I)ccc1=O', 'Cn1cc(C(=O)O)ccc1=O']; ['c1ccc2scnc2c1', 'Nc1ccccc1S']; [0.99973315, 0.99973315]
-Cn1cc(-c2cnc(N)s2)ccc1=O; ['Cn1cc(I)ccc1=O']; ['Nc1nccs1']; [0.964689612]
-COc1cccc(F)c1-c1ccc(=O)n(C)c1; ['COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'Cn1cc(Br)ccc1=O', 'Cn1cc(I)ccc1=O']; [0.999999642, 0.999999642, 0.999999642]
-Cc1cncc(-c2ccc(=O)n(C)c2)n1; ['Cc1cncc(Cl)n1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999994278]
-Cn1cc(-c2cccc3ccsc23)ccc1=O; ['Brc1cccc2ccsc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999954]
-Cn1cc(-c2nc(N)c3ccccc3n2)ccc1=O; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc(=O)n(C)c1; ['COc1ccc(C#N)cc1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999994516]
-Cn1cc(-c2c[nH]c3cccnc23)ccc1=O; [None]; [None]; [0]
-Cn1cc(NCC(C)(C)C)ccc1=O; ['CC(C)(C)CN']; ['Cn1cc(Br)ccc1=O']; [0.971040845]
-Cn1cc(OC(C)(C)C)ccc1=O; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccc(=O)n(C)c2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Cn1cc(I)ccc1=O']; [0.999828935]
-Cn1cc([C@H]2CC[C@@](C)(O)CC2)ccc1=O; [None]; [None]; [0]
-Cn1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)ccc1=O; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc(=O)[nH]n2)cc1; ['CC(=O)c1ccc(C#N)cc1']; ['O=CC(=O)O']; [0.999952674]
-CCOc1ccc(-c2ccc(=O)[nH]n2)cc1; ['CCOc1ccc(C(C)=O)cc1']; ['O=CC(=O)O']; [0.999991655]
-CS(=O)(=O)c1cccc(-c2ccc(=O)[nH]n2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['O=c1ccc(Br)n[nH]1', 'O=c1ccc(Br)n[nH]1', 'O=c1ccc(Cl)n[nH]1']; [0.999999046, 0.999999046, 0.999999046]
-Cn1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)ccc1=O; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Cn1cc(Br)ccc1=O']; [0.999974966]
-COc1ncccc1-c1ccc(=O)[nH]n1; ['COc1ncccc1B(O)O']; ['O=c1ccc(Cl)n[nH]1']; [0.9993155]
-COc1cc(-c2ccc(=O)[nH]n2)cc(OC)c1OC; ['COc1cc(C(C)=O)cc(OC)c1OC']; ['O=CC(=O)O']; [0.999921918]
-Cn1cc(-c2ccc(=O)[nH]n2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['O=c1ccc(Cl)n[nH]1', 'O=c1ccc(Br)n[nH]1']; [0.999902129, 0.999902129]
-Cc1n[nH]cc1-c1ccc(=O)[nH]n1; ['CC(=O)c1c[nH]nc1C']; ['O=CC(=O)O']; [0.991239846]
-O=c1ccc(-c2cccc(O)c2)n[nH]1; ['CC(=O)c1cccc(O)c1']; ['O=CC(=O)O']; [0.999952555]
-O=c1ccc(-c2cnc3cccnn23)n[nH]1; [None]; [None]; [0]
-Cn1nncc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(=O)[nH]n2)sn1; [None]; [None]; [0]
-O=c1ccc(-c2nc3ccccc3[nH]2)n[nH]1; ['Nc1ccccc1N']; ['O=Cc1ccc(=O)[nH]n1']; [0.999948144]
-O=c1ccc(Nc2ncccn2)n[nH]1; ['Nc1ncccn1']; ['O=c1ccc(Cl)n[nH]1']; [0.994492412]
-Cc1nn(C)cc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-COc1ccc(-c2ccc(=O)[nH]n2)cc1; ['COc1ccc(C(C)=O)cc1']; ['O=CC(=O)O']; [0.999969]
-O=c1ccc(-c2cccc(F)c2)n[nH]1; ['CC(=O)c1cccc(F)c1']; ['O=CC(=O)O']; [0.999987721]
-NC(=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; ['NC(=O)c1ccc(B(O)O)cc1']; ['O=c1ccc(Cl)n[nH]1']; [0.999246597]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(=O)[nH]n1)C1CC1; [None]; [None]; [0]
-O=c1ccc(Cc2nccc3ccccc23)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccc(OCCO)cc2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccc(Cl)cc2)n[nH]1; ['CC(=O)c1ccc(Cl)cc1']; ['O=CC(=O)O']; [0.999904394]
-Cc1cc(-c2ccc(=O)[nH]n2)nn1C; [None]; [None]; [0]
-O=c1ccc(-c2cccc(C3CCNCC3)c2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(Nc2ccncn2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccc(C(F)(F)F)cc2)n[nH]1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC(=O)c1ccc(C(F)(F)F)cc1']; ['O=c1ccc(Br)n[nH]1', 'O=CC(=O)O']; [0.999983907, 0.999983907]
-C[C@H](O)COc1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(=O)[nH]n2)cc1; ['CC(=O)c1ccc(N(C)C)cc1']; ['O=CC(=O)O']; [0.99999249]
-CNS(=O)(=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-O=c1ccc(Cc2ccncc2)n[nH]1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc(=O)[nH]n2)s1; [None]; [None]; [0]
-O=c1ccc(Cc2ccccc2O)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cnc(Cl)nc2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(C[C@H](O)CO)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccc(Br)cc2)n[nH]1; ['CC(=O)c1ccc(Br)cc1']; ['O=CC(=O)O']; [0.999973297]
-O=c1ccc(-n2ccnc2)n[nH]1; []; []; []
-COc1ccc(Cl)cc1-c1ccc(=O)[nH]n1; ['COc1ccc(Cl)cc1C(C)=O']; ['O=CC(=O)O']; [0.999941707]
-O=c1ccc(Cc2cccnc2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cn[nH]c2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cncnc2)n[nH]1; ['CC(=O)c1cncnc1']; ['O=CC(=O)O']; [0.999651074]
-O=c1ccc(-c2ccc3c(c2)CCO3)n[nH]1; ['CC(=O)c1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C']; ['O=CC(=O)O', 'O=c1ccc(Br)n[nH]1']; [0.999992728, 0.999992728]
-O=c1ccc(-c2ccc[nH]2)n[nH]1; [None]; [None]; [0]
-COc1ccc(Cc2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc(=O)[nH]n2)c1; ['CC(=O)Nc1cccc(C(C)=O)c1']; ['O=CC(=O)O']; [0.999950886]
-O=c1ccc(-c2c[nH]c3ccccc23)n[nH]1; []; []; []
-O=c1ccc(-c2cc3ccccc3cn2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2scc3c2OCCO3)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cccc3c2OCO3)n[nH]1; [None]; [None]; [0]
-O=c1ccc(Cn2ccnc2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cnc3ccccc3c2)n[nH]1; ['CC(=O)c1cnc2ccccc2c1']; ['O=CC(=O)O']; [0.998528719]
-COc1cc(-c2ccc(=O)[nH]n2)ccc1O; ['COc1cc(C(C)=O)ccc1O']; ['O=CC(=O)O']; [0.999987483]
-CC(C)(C)c1ccc(-c2ccc(=O)[nH]n2)cc1; ['CC(=O)c1ccc(C(C)(C)C)cc1']; ['O=CC(=O)O']; [0.999996066]
-CC1(COc2ccc(=O)[nH]n2)COC1; ['CC1(CO)COC1', 'CC1(CCl)COC1']; ['O=c1ccc(Cl)n[nH]1', 'O=c1ccc(O)n[nH]1']; [0.993772686, 0.993772686]
-O=c1ccc(-c2ccc(F)c(F)c2)n[nH]1; ['CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C']; ['O=c1ccc(Br)n[nH]1', 'O=c1ccc(Cl)n[nH]1']; [0.999985814, 0.999985814]
-COCCOc1ccc(=O)[nH]n1; [None]; [None]; [0]
-CSc1cccc(-c2ccc(=O)[nH]n2)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['O=c1ccc(Br)n[nH]1']; [0.999969959]
-O=c1ccc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccc(F)cc2Cl)n[nH]1; ['CC(=O)c1ccc(F)cc1Cl', 'O=c1ccc(Br)n[nH]1']; ['O=CC(=O)O', 'OB(O)c1ccc(F)cc1Cl']; [0.999982595, 0.999982595]
-Cc1cc(-c2ccc(=O)[nH]n2)nc(N)n1; [None]; [None]; [0]
-O=c1ccc([C@@H]2CC[C@@H](O)CC2)n[nH]1; [None]; [None]; [0]
-O=c1ccc([C@H](CO)Cc2ccccc2)n[nH]1; [None]; [None]; [0]
-COc1ccc(-c2ccc(=O)[nH]n2)cc1OC; ['COc1ccc(C(C)=O)cc1OC']; ['O=CC(=O)O']; [0.999995232]
-O=c1ccc(-c2ncc(Br)cn2)n[nH]1; [None]; [None]; [0]
-COc1ccc(CNc2ccc(=O)[nH]n2)cc1; ['COc1ccc(CN)cc1']; ['O=c1ccc(Cl)n[nH]1']; [0.995821238]
-O=c1ccc([C@H]2CC[C@@H](O)C2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccc(Cl)cc2Cl)n[nH]1; ['CC(=O)c1ccc(Cl)cc1Cl']; ['O=CC(=O)O']; [0.999912143]
-Cc1cc(C)cc(-c2ccc(=O)[nH]n2)c1; ['CC(=O)c1cc(C)cc(C)c1']; ['O=CC(=O)O']; [0.999985576]
-CCc1ccc(-c2ccc(=O)[nH]n2)cc1; ['CCc1ccc(C(C)=O)cc1']; ['O=CC(=O)O']; [0.999996305]
-O=c1ccc(-c2ccsc2)n[nH]1; ['CC(=O)c1ccsc1']; ['O=CC(=O)O']; [0.999979854]
-Cn1cc(-c2ccc(=O)[nH]n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccc(=O)[nH]n3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2ccc(=O)[nH]n2)cc1OC; [None]; [None]; [0]
-O=c1ccc(-c2cccc3ccc(O)cc23)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(=O)[nH]n2)nn1C; ['Cc1cc(N)nn1C']; ['O=c1ccc(Br)n[nH]1']; [0.990012765]
-Cc1nc(Nc2ccc(=O)[nH]n2)sc1C; ['Cc1nc(N)sc1C']; ['O=c1ccc(Br)n[nH]1']; [0.999957323]
-COc1cc(-c2ccc(=O)[nH]n2)ccc1Cl; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc(=O)[nH]n2)c1; ['COc1cc(OC)cc(C(C)=O)c1']; ['O=CC(=O)O']; [0.99999094]
-COc1cc(-c2ccc(=O)[nH]n2)c(OC)cc1Br; [None]; [None]; [0]
-Cc1ccc(-c2ccc(=O)[nH]n2)o1; [None]; [None]; [0]
-CCn1cc(-c2ccc(=O)[nH]n2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['O=c1ccc(Br)n[nH]1']; [0.999862432]
-CC(C)Oc1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(-c2ccc3cn[nH]c3c2)n[nH]1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['O=c1ccc(Br)n[nH]1', 'O=c1ccc(Cl)n[nH]1']; [0.99999392, 0.99999392]
-CNC(=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['O=c1ccc(Br)n[nH]1', 'O=c1ccc(Cl)n[nH]1']; [0.99998, 0.99998]
-COC(=O)Nc1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(-c2cc3ccccc3o2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cscn2)n[nH]1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2ccc(=O)[nH]n2)c1; ['CC(=O)c1cccc(N2CCCC2=O)c1']; ['O=CC(=O)O']; [0.999995589]
-CCc1cccc(-c2ccc(=O)[nH]n2)n1; [None]; [None]; [0]
-O=c1ccc(-c2ccc(OC(F)(F)F)cc2)n[nH]1; ['CC(=O)c1ccc(OC(F)(F)F)cc1']; ['O=CC(=O)O']; [0.999997854]
-O=c1ccc(Nc2ccc(F)cn2)n[nH]1; ['Nc1ccc(F)cn1']; ['O=c1ccc(Cl)n[nH]1']; [0.981203496]
-O=c1ccc(-c2ccc(CCO)cc2)n[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(=O)[nH]n2)nc1C; [None]; [None]; [0]
-O=c1ccc(Nc2ccccn2)n[nH]1; ['Nc1ccccn1']; ['O=c1ccc(Cl)n[nH]1']; [0.916247427]
-CCOc1ccccc1-c1ccc(=O)[nH]n1; ['CCOc1ccccc1C(C)=O']; ['O=CC(=O)O']; [0.999668241]
-COc1cc(N2CCNCC2)ccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccc(=O)[nH]n2)c1; [None]; [None]; [0]
-O=c1ccc(Cc2cc(F)cc(F)c2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccnc3ccccc23)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cccnc2)n[nH]1; ['CC1(C)OB(c2cccnc2)OC1(C)C', 'CC(=O)c1cccnc1']; ['O=c1ccc(Cl)n[nH]1', 'O=CC(=O)O']; [0.999501348, 0.999501348]
-O=c1ccc(-c2cccc(C(F)(F)F)c2)n[nH]1; ['CC(=O)c1cccc(C(F)(F)F)c1', 'O=c1ccc(Br)n[nH]1']; ['O=CC(=O)O', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999969363, 0.999969363]
-O=c1ccc([C@@H]2C[C@H](O)C2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccccc2Cl)n[nH]1; ['CC(=O)c1ccccc1Cl']; ['O=CC(=O)O']; [0.999182165]
-O=c1ccc(-c2ccccc2Br)n[nH]1; ['CC(=O)c1ccccc1Br', 'O=c1ccc(Br)n[nH]1']; ['O=CC(=O)O', 'OB(O)c1ccccc1Br']; [0.999135435, 0.999135435]
-O=c1ccc(-c2cc[nH]n2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccccc2OC(F)(F)F)n[nH]1; ['CC(=O)c1ccccc1OC(F)(F)F', 'O=c1ccc(Cl)n[nH]1']; ['O=CC(=O)O', 'OB(O)c1ccccc1OC(F)(F)F']; [0.99866581, 0.99866581]
-O=c1ccc(-c2ccccc2F)n[nH]1; ['CC(=O)c1ccccc1F']; ['O=CC(=O)O']; [0.99996376]
-O=c1ccc(-c2c(F)cccc2F)n[nH]1; ['CC(=O)c1c(F)cccc1F']; ['O=CC(=O)O']; [0.999720633]
-N#Cc1ccccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(-c2cnn(Cc3ccccc3)c2)n[nH]1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['O=c1ccc(Cl)n[nH]1']; [0.999746382]
-N[C@H](c1ccc(=O)[nH]n1)c1ccco1; [None]; [None]; [0]
-O=c1ccc(-c2cnc(-c3ccccc3)[nH]2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccncn2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cnn(CCO)c2)n[nH]1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['O=c1ccc(Cl)n[nH]1']; [0.998774]
-O=c1ccc(-c2ccc3c(c2)CCC3)n[nH]1; ['CC(=O)c1ccc2c(c1)CCC2']; ['O=CC(=O)O']; [0.999979258]
-O=C(Nc1cccc(-c2ccc(=O)[nH]n2)c1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(=O)[nH]n2)c(Br)c1; [None]; [None]; [0]
-O=c1ccc(-c2cnc3ccccn23)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cnco2)n[nH]1; [None]; [None]; [0]
-CC(C)(C)Nc1ccc(=O)[nH]n1; ['CC(C)(C)N']; ['O=c1ccc(Cl)n[nH]1']; [0.989393]
-Cc1nc(N)sc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(-c2cccc(Cl)c2Cl)n[nH]1; ['CC(=O)c1cccc(Cl)c1Cl']; ['O=CC(=O)O']; [0.999923468]
-O=c1ccc(-c2c(Cl)cccc2Cl)n[nH]1; ['CC(=O)c1c(Cl)cccc1Cl']; ['O=CC(=O)O']; [0.999730051]
-O=c1ccc(OC2CCCCC2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(NCc2cccnc2)n[nH]1; ['NCc1cccnc1']; ['O=c1ccc(Cl)n[nH]1']; [0.992923141]
-Cc1ccc(Cl)c(-c2ccc(=O)[nH]n2)c1; [None]; [None]; [0]
-COc1cccc(-c2ccc(=O)[nH]n2)c1; ['COc1cccc(C(C)=O)c1']; ['O=CC(=O)O']; [0.999992609]
-Nc1nccc(-c2ccc(=O)[nH]n2)n1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(=O)[nH]n2)[nH]1; [None]; [None]; [0]
-O=c1ccc(Nc2cccnc2)n[nH]1; ['Nc1cccnc1']; ['O=c1ccc(Cl)n[nH]1']; [0.996850789]
-O=c1ccc(-c2ccc3ccccc3c2)n[nH]1; ['CC(=O)c1ccc2ccccc2c1']; ['O=CC(=O)O']; [0.999997]
-C[C@H](CO)Nc1ccc(=O)[nH]n1; ['C[C@@H](N)CO']; ['O=c1ccc(Cl)n[nH]1']; [0.986706436]
-O=c1ccc(-c2ccc(Cl)s2)n[nH]1; [None]; [None]; [0]
-CC(C)COc1ccc(=O)[nH]n1; ['CC(C)CO']; ['O=c1ccc(O)n[nH]1']; [0.985292]
-O=C(Nc1ccc(=O)[nH]n1)c1cccs1; [None]; [None]; [0]
-O=c1ccc(-n2cnc3ccccc32)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cncc3ccccc23)n[nH]1; [None]; [None]; [0]
-O=c1ccc(Nc2ccncc2)n[nH]1; ['Nc1ccncc1']; ['O=c1ccc(Cl)n[nH]1']; [0.985264182]
-O=c1ccc(-c2cccc(CO)c2)n[nH]1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ccc(=O)[nH]n1; [None]; [None]; [0]
-Cn1cncc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-CC(C)Nc1ccc(=O)[nH]n1; ['CC(C)N']; ['O=c1ccc(Br)n[nH]1']; [0.75236392]
-O=c1ccc(-c2cccs2)n[nH]1; [None]; [None]; [0]
-N#CCCc1cccc(-c2ccc(=O)[nH]n2)c1; [None]; [None]; [0]
-O=c1ccc(-c2ccc(F)cc2C(F)(F)F)n[nH]1; ['CC(=O)c1ccc(F)cc1C(F)(F)F']; ['O=CC(=O)O']; [0.999909878]
-CCC(=O)Nc1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(=O)[nH]n2)cc1Cl; ['COc1ccc(C(C)=O)cc1Cl']; ['O=CC(=O)O']; [0.999993443]
-Cc1cc(-c2ccc(=O)[nH]n2)no1; [None]; [None]; [0]
-CCCn1cc(-c2ccc(=O)[nH]n2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['O=c1ccc(Cl)n[nH]1']; [0.999990106]
-CCC(=O)Nc1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccc(=O)[nH]n3)c21; [None]; [None]; [0]
-CCOC(=O)Cc1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(-c2cnoc2)n[nH]1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-O=c1ccc(-c2cc3c(=O)[nH]ccc3o2)n[nH]1; [None]; [None]; [0]
-COc1ccncc1Nc1ccc(=O)[nH]n1; ['COc1ccncc1N']; ['O=c1ccc(Cl)n[nH]1']; [0.999521732]
-CCN(CC)c1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(-c2c[nH]c3cnccc23)n[nH]1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc(=O)[nH]n2)C1; [None]; [None]; [0]
-O=c1ccc(Nc2cnc3ccccc3c2)n[nH]1; ['Nc1cnc2ccccc2c1']; ['O=c1ccc(Cl)n[nH]1']; [0.98913]
-N#C[C@H]1CCOC[C@@H]1c1ccc(=O)[nH]n1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc(=O)[nH]n2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc(=O)[nH]n2)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C']; ['O=c1ccc(Br)n[nH]1']; [0.999979615]
-NC(=O)c1c(F)cccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-O=c1ccc(-n2ncc3c(O)cccc32)n[nH]1; [None]; [None]; [0]
-COc1ccc(-c2ccc(=O)[nH]n2)c(OC)c1; ['COc1ccc(C(C)=O)c(OC)c1']; ['O=CC(=O)O']; [0.999709427]
-O=c1ccc(-n2ncc3ccccc32)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cccnc2O)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2nc3ccc(O)cc3[nH]2)n[nH]1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(=O)[nH]n2)s1; [None]; [None]; [0]
-O=c1ccc(OC2CCOCC2)n[nH]1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccc(=O)[nH]n1; ['COc1cccc(F)c1C(C)=O']; ['O=CC(=O)O']; [0.999322653]
-Nc1nnc(-c2ccc(=O)[nH]n2)s1; [None]; [None]; [0]
-Cc1cncc(-c2ccc(=O)[nH]n2)n1; [None]; [None]; [0]
-Nc1nc(-c2ccc(=O)[nH]n2)nc2ccccc12; [None]; [None]; [0]
-O=c1ccc(-c2nc3ccccc3s2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cccc3ccsc23)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2c[nH]c3cccnc23)n[nH]1; [None]; [None]; [0]
-CC(C)(C)Oc1ccc(=O)[nH]n1; [None]; [None]; [0]
-CC(C)(C)CNc1ccc(=O)[nH]n1; ['CC(C)(C)CN']; ['O=c1ccc(Cl)n[nH]1']; [0.970718861]
-COc1ccc(OC)c(-c2ccc(=O)[nH]n2)c1; ['COc1ccc(OC)c(C(C)=O)c1']; ['O=CC(=O)O']; [0.9999547]
-O=c1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)n[nH]1; ['O=c1ccc(Cl)n[nH]1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.998710394]
-CNC(=O)c1ccccc1Nc1ccncn1; ['CNC(=O)c1ccccc1N']; ['Clc1ccncn1']; [0.998828828]
-COc1ccc(C#N)cc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-CCOc1ccccc1Nc1ccncn1; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1N']; ['Nc1ccncn1', 'Clc1ccncn1']; [0.995016754, 0.995016754]
-Fc1cc(F)cc(CNc2ccncn2)c1; ['Fc1cc(F)cc(CCl)c1', 'Clc1ccncn1']; ['Nc1ccncn1', 'NCc1cc(F)cc(F)c1']; [0.999997258, 0.999997258]
-C[C@@]1(O)CC[C@H](c2ccc(=O)[nH]n2)CC1; [None]; [None]; [0]
-c1ccc2c(Nc3ccncn3)ccnc2c1; ['Brc1ccnc2ccccc12', 'Clc1ccnc2ccccc12']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.999617577, 0.999617577]
-FC(F)(F)c1cccc(Nc2ccncn2)c1; ['Clc1ccncn1', 'FC(F)(F)c1cccc(Cl)c1']; ['Nc1cccc(C(F)(F)F)c1', 'Nc1ccncn1']; [0.999847412, 0.999847412]
-c1cncc(Nc2ccncn2)c1; ['Clc1ccncn1']; ['Nc1cccnc1']; [0.998814]
-O=c1ccc(N2CC=C(c3c[nH]c4ccccc34)CC2)n[nH]1; [None]; [None]; [0]
-Clc1ccccc1Nc1ccncn1; ['Clc1ccncn1']; ['Nc1ccccc1Cl']; [0.966617465]
-Brc1ccccc1Nc1ccncn1; ['Clc1ccncn1', 'Brc1ccccc1I']; ['Nc1ccccc1Br', 'Nc1ccncn1']; [0.999376, 0.999376]
-O[C@H]1C[C@@H](Nc2ccncn2)C1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1Nc1ccncn1; ['Clc1ccncn1']; ['Nc1ccccc1OC(F)(F)F']; [0.999712288]
-NC(=O)c1ccccc1Nc1ccncn1; ['Clc1ccncn1']; ['NC(=O)c1ccccc1N']; [0.990664482]
-c1cc(Nc2cc[nH]n2)ncn1; ['Clc1ccncn1']; ['Nc1cc[nH]n1']; [0.890863895]
-Fc1cccc(F)c1Nc1ccncn1; ['Fc1cccc(F)c1I']; ['Nc1ccncn1']; [0.989040256]
-Fc1ccccc1Nc1ccncn1; ['Clc1ccncn1']; ['Nc1ccccc1F']; [0.997542381]
-N#Cc1ccccc1Nc1ccncn1; ['Clc1ccncn1']; ['N#Cc1ccccc1N']; [0.980896]
-c1ccc(-c2ncc(Nc3ccncn3)[nH]2)cc1; [None]; [None]; [0]
-N[C@H](Nc1ccncn1)c1ccco1; [None]; [None]; [0]
-c1ccc(Cn2cc(Nc3ccncn3)cn2)cc1; ['Clc1ccncn1', 'Brc1cnn(Cc2ccccc2)c1']; ['Nc1cnn(Cc2ccccc2)c1', 'Nc1ccncn1']; [0.999993443, 0.999993443]
-c1cc(Nc2ccc3c(c2)CCC3)ncn1; ['Clc1ccncn1']; ['Nc1ccc2c(c1)CCC2']; [0.999935865]
-c1cc(Nc2ccncn2)ncn1; ['Clc1ccncn1']; ['Nc1ccncn1']; [0.937250853]
-OCCn1cc(Nc2ccncn2)cn1; [None]; [None]; [0]
-Cc1ccc(Nc2ccncn2)c(Br)c1; ['Cc1ccc(N)c(Br)c1']; ['Clc1ccncn1']; [0.999682069]
-O=C(Nc1cccc(Nc2ccncn2)c1)c1ccccc1; ['Clc1ccncn1']; ['Nc1cccc(NC(=O)c2ccccc2)c1']; [0.9998914]
-c1ccn2c(Nc3ccncn3)cnc2c1; [None]; [None]; [0]
-c1cnn2c(Nc3ccncn3)cnc2c1; [None]; [None]; [0]
-Cc1nc(C)c(Nc2ccncn2)s1; [None]; [None]; [0]
-c1cc(Nc2cnco2)ncn1; [None]; [None]; [0]
-Clc1cccc(Cl)c1Nc1ccncn1; ['Clc1ccncn1']; ['Nc1c(Cl)cccc1Cl']; [0.999571621]
-Cc1ccc(Cl)c(Nc2ccncn2)c1; ['Cc1ccc(Cl)c(N)c1']; ['Clc1ccncn1']; [0.955266953]
-c1cc(NOC2CCCCC2)ncn1; [None]; [None]; [0]
-Cc1nc(N)sc1Nc1ccncn1; [None]; [None]; [0]
-CC(C)(C)NNc1ccncn1; ['CC(C)(C)NN']; ['Clc1ccncn1']; [0.987633228]
-c1cncc(CNNc2ccncn2)c1; [None]; [None]; [0]
-Cc1ncc(Nc2ccncn2)[nH]1; [None]; [None]; [0]
-Clc1cccc(Nc2ccncn2)c1Cl; ['Clc1ccncn1', 'Clc1cccc(I)c1Cl']; ['Nc1cccc(Cl)c1Cl', 'Nc1ccncn1']; [0.998594701, 0.998594701]
-c1ccc2cc(Nc3ccncn3)ccc2c1; ['Clc1ccncn1', 'Brc1ccc2ccccc2c1']; ['Nc1ccc2ccccc2c1', 'Nc1ccncn1']; [0.999672413, 0.999672413]
-COc1cccc(Nc2ccncn2)c1; ['COc1cccc(N)c1']; ['Clc1ccncn1']; [0.999385476]
-Nc1nccc(Nc2ccncn2)n1; ['Clc1ccncn1', 'Nc1ccncn1']; ['Nc1ccnc(N)n1', 'Nc1nccc(Cl)n1']; [0.982508361, 0.982508361]
-Clc1ccc(Nc2ccncn2)s1; [None]; [None]; [0]
-c1cncc(NNc2ccncn2)c1; [None]; [None]; [0]
-C[C@H](CO)NNc1ccncn1; [None]; [None]; [0]
-c1ccc2c(c1)ncn2Nc1ccncn1; [None]; [None]; [0]
-O=C(NNc1ccncn1)c1cccs1; ['Clc1ccncn1']; ['NNC(=O)c1cccs1']; [0.979351282]
-Oc1cccc(Nc2ccncn2)c1; ['Clc1ccncn1', 'Nc1cccc(O)c1']; ['Nc1cccc(O)c1', 'O=c1ccnc[nH]1']; [0.99885118, 0.99885118]
-CC(C)CONc1ccncn1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)ONc1ccncn1; [None]; [None]; [0]
-OCc1cccc(Nc2ccncn2)c1; ['Clc1ccncn1']; ['Nc1cccc(CO)c1']; [0.999674439]
-c1cc(NNc2ccncn2)ccn1; ['Clc1ccncn1']; ['NNc1ccncc1']; [0.976269484]
-c1ccc2c(Nc3ccncn3)cncc2c1; ['Clc1ccncn1']; ['Nc1cncc2ccccc12']; [0.999794662]
-Cn1cncc1Nc1ccncn1; ['Clc1ccncn1']; ['Cn1cncc1N']; [0.996709228]
-c1coc(Nc2ccncn2)c1; [None]; [None]; [0]
-c1csc(Nc2ccncn2)c1; [None]; [None]; [0]
-Cn1cc(Nc2ccncn2)cn1; ['Clc1ccncn1', 'Cn1cc(Br)cn1']; ['Cn1cc(N)cn1', 'Nc1ccncn1']; [0.999998569, 0.999998569]
-CCC(=O)Nc1ccc(Nc2ccncn2)cc1; ['CCC(=O)Nc1ccc(N)cc1']; ['Clc1ccncn1']; [0.993355155]
-CC(C)NNc1ccncn1; ['CC(C)NN']; ['Clc1ccncn1']; [0.966719151]
-Fc1ccc(Nc2ccncn2)c(C(F)(F)F)c1; ['Clc1ccncn1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1']; ['Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccncn1', 'Nc1ccncn1']; [0.998519, 0.998519, 0.998519]
-N#CCCc1cccc(Nc2ccncn2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(Nc2ccncn2)c1; ['CC(=O)Nc1cccc(N)c1']; ['Clc1ccncn1']; [0.99990809]
-CCC(=O)NNc1ccncn1; ['CCC(=O)NN']; ['Clc1ccncn1']; [0.954871833]
-COc1ccc(Nc2ccncn2)cc1Cl; ['COc1ccc(N)cc1Cl']; ['Clc1ccncn1']; [0.999461949]
-Cc1cc(Nc2ccncn2)no1; ['Cc1cc(N)no1']; ['Clc1ccncn1']; [0.963978112]
-CCCn1cc(Nc2ccncn2)cn1; ['CCCn1cc(Br)cn1']; ['Nc1ccncn1']; [0.999818504]
-O=C1CCc2cccc(Nc3ccncn3)c21; ['Nc1ccncn1']; ['O=C1CCc2cccc(Br)c21']; [0.999105036]
-C[S@](=O)c1ccc(Nc2ccncn2)cc1; ['CS(=O)c1ccc(Br)cc1']; ['Nc1ccncn1']; [0.994108319]
-CCOC(=O)CNc1ccncn1; ['CCOC(=O)CN']; ['Clc1ccncn1']; [0.994067192]
-c1cc(Nc2cnoc2)ncn1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(Nc3ccncn3)cc12; [None]; [None]; [0]
-c1ccc2c(Nc3ccncn3)c[nH]c2c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-c1ccc2ncc(NNc3ccncn3)cc2c1; [None]; [None]; [0]
-c1cc(Nc2c[nH]c3cnccc23)ncn1; ['Brc1c[nH]c2cnccc12']; ['Nc1ccncn1']; [0.993692875]
-CCN(CC)Nc1ccncn1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](Nc2ccncn2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](Nc2ccncn2)CC1; [None]; [None]; [0]
-COc1ccncc1NNc1ccncn1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(Nc2ccncn2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1']; ['Clc1ccncn1']; [0.999918342]
-OC[C@H](Cc1ccccc1)Nc1ccncn1; ['Clc1ccncn1']; ['N[C@H](CO)Cc1ccccc1']; [0.999653816]
-N#C[C@H]1CCOC[C@@H]1Nc1ccncn1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Nc2ccncn2)cc1; ['CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ccncn1', 'Nc1ccncn1']; [0.999821484, 0.999821484]
-NC(=O)c1c(F)cccc1Nc1ccncn1; ['Clc1ccncn1']; ['NC(=O)c1c(N)cccc1F']; [0.998687685]
-N#CC[C@@H]1CC[C@@H](Nc2ccncn2)CC1; [None]; [None]; [0]
-Oc1cccc2c1cnn2Nc1ccncn1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2ccncn2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['Clc1ccncn1']; [0.995037496]
-Oc1ncccc1Nc1ccncn1; ['Clc1ccncn1']; ['Nc1cccnc1O']; [0.854451358]
-COc1ccc(Nc2ccncn2)c(OC)c1; ['COc1ccc(N)c(OC)c1', 'COc1ccc(I)c(OC)c1']; ['Clc1ccncn1', 'Nc1ccncn1']; [0.999177396, 0.999177396]
-c1cc(CNc2ccncn2)ccn1; ['NCc1ccncc1', 'BrCc1ccncc1']; ['O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.998576164, 0.998576164]
-c1ccc2c(c1)cnn2Nc1ccncn1; [None]; [None]; [0]
-c1cc(NOC2CCOCC2)ncn1; [None]; [None]; [0]
-c1cc(Nn2ccnc2)ncn1; [None]; [None]; [0]
-Oc1ccc2nc(Nc3ccncn3)[nH]c2c1; [None]; [None]; [0]
-Cc1cncc(Nc2ccncn2)n1; ['Cc1cncc(Cl)n1', 'Cc1cncc(N)n1']; ['Nc1ccncn1', 'Clc1ccncn1']; [0.997457922, 0.997457922]
-O=C(c1ccccc1)c1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1', 'Nc1ccncn1']; ['Nc1ccc(C(=O)c2ccccc2)cc1', 'O=C(c1ccccc1)c1ccc(F)cc1']; [0.994599581, 0.994599581]
-Nc1nnc(Nc2ccncn2)s1; [None]; [None]; [0]
-c1ccc2sc(Nc3ccncn3)nc2c1; ['Brc1nc2ccccc2s1', 'Clc1nc2ccccc2s1']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.999894, 0.999894]
-Nc1ncc(Nc2ccncn2)s1; [None]; [None]; [0]
-COc1cccc(F)c1Nc1ccncn1; ['COc1cccc(F)c1N']; ['Clc1ccncn1']; [0.999772251]
-c1cc(Nc2ccncn2)c2sccc2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1Nc1ccncn1; ['COc1ccc(C#N)cc1Br']; ['Nc1ccncn1']; [0.999114]
-Nc1nc(Nc2ccncn2)nc2ccccc12; ['Clc1ccncn1']; ['Nc1nc(N)c2ccccc2n1']; [0.994405746]
-c1cncc(CNc2ccncn2)c1; ['Clc1ccncn1']; ['NCc1cccnc1']; [0.999622107]
-c1cnc2c(Nc3ccncn3)c[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)ONc1ccncn1; ['CC(C)(C)ON']; ['Clc1ccncn1']; [0.996720374]
-CC(C)(C)CNNc1ccncn1; [None]; [None]; [0]
-COc1ccc(OC)c(Nc2ccncn2)c1; [None]; [None]; [0]
-Cc1cc(C)cc(Nc2ccncn2)c1; ['Cc1cc(C)cc(N)c1', 'Cc1cc(C)cc(Br)c1', 'Cc1cc(C)cc(F)c1']; ['Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.999868512, 0.999868512, 0.999868512]
-C[C@@]1(O)CC[C@H](Nc2ccncn2)CC1; [None]; [None]; [0]
-N#Cc1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1', 'N#Cc1ccc(Br)cc1', 'N#Cc1ccc(F)cc1', 'N#Cc1ccc(Cl)cc1']; ['N#Cc1ccc(N)cc1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.999745429, 0.999745429, 0.999745429, 0.999745429]
-C1=C(c2c[nH]c3ccccc23)CCN(Nc2ccncn2)C1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(Nc4ccncn4)CC3)nc2c1; [None]; [None]; [0]
-COc1ncccc1Nc1ccncn1; ['COc1ncccc1N']; ['Clc1ccncn1']; [0.998232186]
-CCOc1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1Nc1ccncn1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(Nc2ccncn2)c1; ['CS(=O)(=O)c1cccc(N)c1']; ['Clc1ccncn1']; [0.99996984]
-COc1cc(Nc2ccncn2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC']; ['Clc1ccncn1']; [0.999834061]
-Cc1nn(C)cc1Nc1ccncn1; ['Cc1nn(C)cc1Br']; ['Nc1ccncn1']; [0.998950303]
-NC(=O)c1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1']; ['NC(=O)c1ccc(N)cc1']; [0.999764144]
-Cn1nncc1Nc1ccncn1; [None]; [None]; [0]
-COc1ccc(Nc2ccncn2)cc1; ['COc1ccc(N)cc1']; ['Clc1ccncn1']; [0.9983114]
-c1ccc2c(CNc3ccncn3)nccc2c1; ['Clc1ccncn1', 'NCc1nccc2ccccc12']; ['NCc1nccc2ccccc12', 'O=c1ccnc[nH]1']; [0.999265611, 0.999265611]
-c1ccc2[nH]c(Nc3ccncn3)nc2c1; ['Clc1nc2ccccc2[nH]1']; ['Nc1ccncn1']; [0.945130408]
-c1cnc(NNc2ccncn2)nc1; ['Clc1ccncn1']; ['NNc1ncccn1']; [0.963091731]
-O=C(Nc1ccccc1)c1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.999336779]
-OCCCNc1ccncn1; ['Clc1ccncn1']; ['NCCCO']; [0.999076605]
-Fc1cccc(Nc2ccncn2)c1; ['Clc1ccncn1']; ['Nc1cccc(F)c1']; [0.999916196]
-Clc1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1']; ['Nc1ccc(Cl)cc1']; [0.986687601]
-Cc1cc(Nc2ccncn2)nn1C; [None]; [None]; [0]
-c1cc(Nc2ccncn2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-OCCOc1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1']; ['Nc1ccc(C(F)(F)F)cc1']; [0.997784555]
-CN(C)c1ccc(Nc2ccncn2)cc1; ['CN(C)c1ccc(N)cc1']; ['Clc1ccncn1']; [0.999691367]
-c1cc(Nc2cncnc2)ncn1; ['Clc1ccncn1']; ['Nc1cncnc1']; [0.99612397]
-Brc1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-c1cc(Nc2cn[nH]c2)ncn1; ['Clc1ccncn1']; ['Nc1cn[nH]c1']; [0.999807775]
-C[C@H](O)COc1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-Clc1ncc(Nc2ccncn2)cn1; ['Clc1ccncn1']; ['Nc1cnc(Cl)nc1']; [0.97509104]
-c1ccc2cc(Nc3ccncn3)ncc2c1; ['Clc1ccncn1']; ['Nc1cc2ccccc2cn1']; [0.997553766]
-COc1ccc(Cl)cc1Nc1ccncn1; ['COc1ccc(Cl)cc1N']; ['Clc1ccncn1']; [0.999178827]
-c1cc(Nc2ccc3c(c2)CCO3)ncn1; ['Clc1ccncn1']; ['Nc1ccc2c(c1)CCO2']; [0.999896169]
-c1c[nH]c(Nc2ccncn2)c1; [None]; [None]; [0]
-COc1cc(Nc2ccncn2)ccc1O; ['COc1cc(N)ccc1O']; ['Clc1ccncn1']; [0.999344528]
-Fc1ccc(Nc2ccncn2)cc1F; ['Clc1ccncn1', 'Fc1ccc(Cl)cc1F']; ['Nc1ccc(F)c(F)c1', 'Nc1ccncn1']; [0.999972939, 0.999972939]
-c1cc(Nc2scc3c2OCCO3)ncn1; [None]; [None]; [0]
-c1ccc2ncc(Nc3ccncn3)cc2c1; ['Clc1ccncn1']; ['Nc1cnc2ccccc2c1']; [0.999059498]
-c1cc(Nc2ccncn2)c2c(c1)OCO2; [None]; [None]; [0]
-Cc1cc(Nc2ccncn2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Nc1ccncn1']; [0.940617263]
-CC(C)(C)c1ccc(Nc2ccncn2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Clc1ccncn1', 'Nc1ccncn1']; [0.999868035, 0.999868035]
-O[C@@H]1CC[C@@H](Nc2ccncn2)CC1; ['Clc1ccncn1']; ['N[C@H]1CC[C@H](O)CC1']; [0.999785483]
-CSc1cccc(Nc2ccncn2)c1; ['CSc1cccc(N)c1']; ['Clc1ccncn1']; [0.999837518]
-CC[C@@H](CO)Nc1ccncn1; ['CC[C@H](N)CO']; ['Clc1ccncn1']; [0.998083472]
-Brc1cnc(Nc2ccncn2)nc1; ['Clc1ccncn1', 'Clc1ncc(Br)cn1']; ['Nc1ncc(Br)cn1', 'Nc1ccncn1']; [0.999872446, 0.999872446]
-Fc1ccc(Nc2ccncn2)c(Cl)c1; [None]; [None]; [0]
-Clc1ccc(Nc2ccncn2)c(Cl)c1; ['Clc1ccncn1']; ['Nc1ccc(Cl)cc1Cl']; [0.995535612]
-COc1ccc(Nc2ccncn2)cc1OC; ['COc1ccc(N)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC']; ['Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.999913, 0.999913, 0.999913]
-c1cc(Nc2ccsc2)ncn1; ['Nc1ccncn1', 'Clc1ccncn1']; ['OB(O)c1ccsc1', 'Nc1ccsc1']; [0.999995351, 0.999995351]
-O[C@@H]1CC[C@H](Nc2ccncn2)C1; [None]; [None]; [0]
-CCc1ccc(Nc2ccncn2)cc1; ['CCc1ccc(N)cc1']; ['Clc1ccncn1']; [0.998641074]
-Oc1ccc2cccc(Nc3ccncn3)c2c1; ['Clc1ccncn1']; ['Nc1cccc2ccc(O)cc12']; [0.997192204]
-Cn1cc(Nc2ccncn2)c(C(F)(F)F)n1; ['Cn1cc(Br)c(C(F)(F)F)n1']; ['Nc1ccncn1']; [0.998479187]
-COc1ccc2cccc(Nc3ccncn3)c2c1; [None]; [None]; [0]
-Cc1ccc(Nc2ccncn2)o1; [None]; [None]; [0]
-COc1cc(Nc2ccncn2)ccc1Cl; ['COc1cc(N)ccc1Cl']; ['Clc1ccncn1']; [0.999708354]
-COc1cc(F)c(Nc2ccncn2)cc1OC; ['COc1cc(F)c(F)cc1OC']; ['Nc1ccncn1']; [0.99569726]
-COc1cc(Nc2ccncn2)cc(OC)c1; ['COc1cc(N)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1']; ['Clc1ccncn1', 'Nc1ccncn1']; [0.996849597, 0.996849597]
-c1cc(Nc2ccc3cn[nH]c3c2)ncn1; ['Clc1ccncn1']; ['Nc1ccc2cn[nH]c2c1']; [0.999999523]
-FC(F)(F)Oc1ccc(Nc2ccncn2)cc1; ['Nc1ccncn1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'Clc1ccncn1']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccc(OC(F)(F)F)cc1']; [0.999982476, 0.999982476, 0.999982476, 0.999982476]
-CNC(=O)c1ccc(Nc2ccncn2)cc1; ['CNC(=O)c1ccc(N)cc1']; ['Clc1ccncn1']; [0.999274552]
-COc1cc(Nc2ccncn2)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['Nc1ccncn1']; [0.919290125]
-Cc1ccc(Nc2ccncn2)nc1C; ['Cc1ccc(N)nc1C']; ['Clc1ccncn1']; [0.998182058]
-CCc1cccc(Nc2ccncn2)n1; ['CCc1cccc(N)n1']; ['Clc1ccncn1']; [0.98904]
-OCCc1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1']; ['Nc1ccc(CCO)cc1']; [0.998775899]
-c1ccc2oc(Nc3ccncn3)cc2c1; [None]; [None]; [0]
-c1cc(Nc2cscn2)ncn1; ['Brc1cscn1']; ['Nc1ccncn1']; [0.993733108]
-COc1cc(N2CCNCC2)ccc1Nc1ccncn1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(Nc2ccncn2)c1; ['Clc1ccncn1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.999959946]
-CCOc1ccccc1Nc1ncc(Br)cn1; ['CCOc1ccccc1N']; ['Clc1ncc(Br)cn1']; [0.99986279]
-CNC(=O)c1ccccc1Nc1ncc(Br)cn1; ['CNC(=O)c1ccccc1Br']; ['Nc1ncc(Br)cn1']; [0.927214384]
-Fc1cc(F)cc(CNc2ncc(Br)cn2)c1; ['Brc1cnc(Br)nc1', 'Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'OCc1cc(F)cc(F)c1']; [0.999978304, 0.999978304, 0.999978304, 0.999978304]
-CS(=O)(=O)c1ccc(Cl)c(Nc2ccncn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ccncn1']; [0.999818742]
-Brc1cnc(Nc2ccnc3ccccc23)nc1; ['Clc1ncc(Br)cn1']; ['Nc1ccnc2ccccc12']; [0.9998312]
-Brc1cnc(Nc2cccnc2)nc1; ['Clc1ncc(Br)cn1']; ['Nc1cccnc1']; [0.999749959]
-FC(F)(F)c1cccc(Nc2ncc(Br)cn2)c1; ['CS(=O)(=O)c1ncc(Br)cn1', 'FC(F)(F)c1cccc(Br)c1']; ['Nc1cccc(C(F)(F)F)c1', 'Nc1ncc(Br)cn1']; [0.99872905, 0.99872905]
-Clc1ccccc1Nc1ncc(Br)cn1; ['Brc1cnc(Br)nc1', 'Clc1ncc(Br)cn1']; ['Nc1ccccc1Cl', 'Nc1ccccc1Cl']; [0.99796778, 0.99796778]
-Brc1cnc(Nc2ccccc2Br)nc1; ['Fc1ccccc1Br', 'Brc1ccccc1Br']; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.995235741, 0.995235741]
-O[C@H]1C[C@@H](Nc2ncc(Br)cn2)C1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F']; [0.999983072, 0.999983072]
-NC(=O)c1ccccc1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'NC(=O)c1ccccc1Br']; ['NC(=O)c1ccccc1N', 'Nc1ncc(Br)cn1']; [0.989101231, 0.989101231]
-Brc1cnc(Nc2cc[nH]n2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['Nc1cc[nH]n1', 'Nc1cc[nH]n1']; [0.999889493, 0.999889493]
-Fc1ccccc1Nc1ncc(Br)cn1; ['Fc1ncc(Br)cn1']; ['Nc1ccccc1F']; [0.95809]
-Fc1cccc(F)c1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Fc1cccc(F)c1Br', 'CSc1ncc(Br)cn1', 'Fc1cccc(F)c1F']; ['Nc1c(F)cccc1F', 'Nc1c(F)cccc1F', 'Nc1ncc(Br)cn1', 'Nc1c(F)cccc1F', 'Nc1ncc(Br)cn1']; [0.999986768, 0.999986768, 0.999986768, 0.999986768, 0.999986768]
-N#Cc1ccccc1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1']; ['N#Cc1ccccc1N']; [0.999389529]
-Brc1cnc(Nc2cnn(Cc3ccccc3)c2)nc1; [None]; [None]; [0]
-Brc1cnc(Nc2cnc(-c3ccccc3)[nH]2)nc1; [None]; [None]; [0]
-OCCn1cc(Nc2ncc(Br)cn2)cn1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2ncc(Br)cn2)c1)c1ccccc1; ['Clc1ncc(Br)cn1']; ['Nc1cccc(NC(=O)c2ccccc2)c1']; [0.999994874]
-Cc1ccc(Nc2ncc(Br)cn2)c(Br)c1; ['Cc1ccc(N)c(Br)c1']; ['Clc1ncc(Br)cn1']; [0.99999404]
-N[C@H](Nc1ncc(Br)cn1)c1ccco1; [None]; [None]; [0]
-Brc1cnc(Nc2ccc3c(c2)CCC3)nc1; ['Ic1ccc2c(c1)CCC2', 'Brc1cnc(Br)nc1']; ['Nc1ncc(Br)cn1', 'Nc1ccc2c(c1)CCC2']; [0.999574602, 0.999574602]
-Brc1cnc(Nc2cnc3ccccn23)nc1; ['Fc1ncc(Br)cn1']; ['Nc1cnc2ccccn12']; [0.999561489]
-Cc1nc(C)c(Nc2ncc(Br)cn2)s1; [None]; [None]; [0]
-Brc1cnc(Nc2cnco2)nc1; [None]; [None]; [0]
-Clc1cccc(Cl)c1Nc1ncc(Br)cn1; ['Clc1cccc(Cl)c1Br']; ['Nc1ncc(Br)cn1']; [0.999753773]
-Cc1nc(N)sc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-Cc1ccc(Cl)c(Nc2ncc(Br)cn2)c1; ['Brc1cnc(Br)nc1']; ['Cc1ccc(Cl)c(N)c1']; [0.974347532]
-Brc1cnc(Nc2cnc3cccnn23)nc1; [None]; [None]; [0]
-CC(C)(C)NNc1ncc(Br)cn1; [None]; [None]; [0]
-Cc1ncc(Nc2ncc(Br)cn2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['Nc1ncc(Br)cn1']; [0.834135354]
-Clc1cccc(Nc2ncc(Br)cn2)c1Cl; ['Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Clc1ncc(Br)cn1', 'Clc1cccc(Br)c1Cl']; ['Nc1cccc(Cl)c1Cl', 'Nc1cccc(Cl)c1Cl', 'Nc1cccc(Cl)c1Cl', 'Nc1ncc(Br)cn1']; [0.999707758, 0.999707758, 0.999707758, 0.999707758]
-Brc1cnc(NOC2CCCCC2)nc1; [None]; [None]; [0]
-Nc1nccc(Nc2ncc(Br)cn2)n1; ['Nc1ncc(Br)cn1']; ['Nc1nccc(Br)n1']; [0.96013397]
-Brc1cnc(Nc2ccc3ccccc3c2)nc1; [None]; [None]; [0]
-Clc1ccc(Nc2ncc(Br)cn2)s1; [None]; [None]; [0]
-Brc1cnc(NNCc2cccnc2)nc1; [None]; [None]; [0]
-COc1cccc(Nc2ncc(Br)cn2)c1; ['Brc1cnc(I)nc1', 'COc1cccc(I)c1', 'COc1cccc(Br)c1']; ['COc1cccc(N)c1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999945164, 0.999945164, 0.999945164]
-C[C@H](CO)NNc1ncc(Br)cn1; [None]; [None]; [0]
-O=C(NNc1ncc(Br)cn1)c1cccs1; ['NNc1ncc(Br)cn1', 'NNc1ncc(Br)cn1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.999890447, 0.999890447]
-Brc1cnc(Nn2cnc3ccccc32)nc1; [None]; [None]; [0]
-Brc1cnc(NNc2cccnc2)nc1; [None]; [None]; [0]
-Oc1cccc(Nc2ncc(Br)cn2)c1; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Nc1cccc(O)c1']; [0.999861956, 0.999861956, 0.999861956]
-C[C@@H](O)[C@@H](C)ONc1ncc(Br)cn1; [None]; [None]; [0]
-OCc1cccc(Nc2ncc(Br)cn2)c1; ['CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1cccc(CO)c1']; [0.993877]
-CC(C)CONc1ncc(Br)cn1; [None]; [None]; [0]
-Brc1cnc(NNc2ccncc2)nc1; ['Clc1ccncc1']; ['NNc1ncc(Br)cn1']; [0.959549904]
-Brc1cnc(Nc2cncc3ccccc23)nc1; ['Brc1cnc(Br)nc1']; ['Nc1cncc2ccccc12']; [0.999305964]
-Cn1cncc1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'Cn1cncc1Br']; ['Cn1cncc1N', 'Nc1ncc(Br)cn1']; [0.99869746, 0.99869746]
-Brc1cnc(Nc2cccs2)nc1; [None]; [None]; [0]
-Cn1cc(Nc2ncc(Br)cn2)cn1; ['Clc1ncc(Br)cn1']; ['Cn1cc(N)cn1']; [0.999976516]
-CCC(=O)Nc1ccc(Nc2ncc(Br)cn2)cc1; ['CCC(=O)Nc1ccc(N)cc1']; ['Clc1ncc(Br)cn1']; [0.999588668]
-CC(C)NNc1ncc(Br)cn1; [None]; [None]; [0]
-Fc1ccc(Nc2ncc(Br)cn2)c(C(F)(F)F)c1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ncc(Br)cn1']; [0.999972343, 0.999972343, 0.999972343, 0.999972343]
-Brc1cnc(Nc2ccco2)nc1; [None]; [None]; [0]
-CCC(=O)NNc1ncc(Br)cn1; ['CCC(=O)O', 'CCC(=O)OC(=O)CC']; ['NNc1ncc(Br)cn1', 'NNc1ncc(Br)cn1']; [0.999834776, 0.999834776]
-COc1ccc(Nc2ncc(Br)cn2)cc1Cl; ['COc1ccc(N)cc1Cl']; ['Clc1ncc(Br)cn1']; [0.999807775]
-Brc1cnc(Nc2cnoc2)nc1; ['Brc1cnoc1']; ['Nc1ncc(Br)cn1']; [0.885432541]
-CCCn1cc(Nc2ncc(Br)cn2)cn1; ['CCCn1cc(N)cn1']; ['Clc1ncc(Br)cn1']; [0.99998951]
-N#CCCc1cccc(Nc2ncc(Br)cn2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(Nc2ncc(Br)cn2)c1; ['CC(=O)Nc1cccc(N)c1']; ['Clc1ncc(Br)cn1']; [0.999988198]
-Cc1cc(Nc2ncc(Br)cn2)no1; ['Brc1cnc(Br)nc1']; ['Cc1cc(N)no1']; [0.999814928]
-O=C1CCc2cccc(Nc3ncc(Br)cn3)c21; ['Nc1ncc(Br)cn1']; ['O=C1CCc2cccc(F)c21']; [0.927735865]
-CCOC(=O)CNc1ncc(Br)cn1; [None]; [None]; [0]
-CC(C)(N)c1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(Nc3ncc(Br)cn3)cc12; [None]; [None]; [0]
-CCN(CC)Nc1ncc(Br)cn1; [None]; [None]; [0]
-C[S@](=O)c1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
-Brc1cnc(Nc2c[nH]c3ccccc23)nc1; [None]; [None]; [0]
-Brc1cnc(NNc2cnc3ccccc3c2)nc1; [None]; [None]; [0]
-COc1ccncc1NNc1ncc(Br)cn1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)Nc1ncc(Br)cn1; ['Brc1cnc(I)nc1']; ['N[C@H](CO)Cc1ccccc1']; [0.999256194]
-Brc1cnc(Nc2c[nH]c3cnccc23)nc1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](Nc2ncc(Br)cn2)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncc(Br)cn1']; [0.973484695]
-N#C[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1']; ['Clc1ncc(Br)cn1']; [0.999967933]
-N#C[C@H]1CCOC[C@@H]1Nc1ncc(Br)cn1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'NC(=O)c1c(F)cccc1Br']; ['NC(=O)c1c(N)cccc1F', 'NC(=O)c1c(N)cccc1F', 'Nc1ncc(Br)cn1']; [0.999879837, 0.999879837, 0.999879837]
-Brc1cnc(Nn2ncc3ccccc32)nc1; [None]; [None]; [0]
-Oc1ncccc1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CSc1ncc(Br)cn1']; ['Nc1cccnc1O', 'Nc1cccnc1O', 'Nc1cccnc1O']; [0.997304797, 0.997304797, 0.997304797]
-CS(=O)(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999996543, 0.999996543]
-COc1ccc(Nc2ncc(Br)cn2)c(OC)c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2Nc1ncc(Br)cn1; [None]; [None]; [0]
-Oc1ccc2nc(Nc3ncc(Br)cn3)[nH]c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(Nc2ncc(Br)cn2)cc1; ['Nc1ncc(Br)cn1']; ['O=C(c1ccccc1)c1ccc(Br)cc1']; [0.918578148]
-Brc1cnc(NCc2ccncc2)nc1; ['Brc1cnc(Br)nc1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['NCc1ccncc1', 'OCc1ccncc1', 'NCc1ccncc1']; [0.999026179, 0.999026179, 0.999026179]
-Brc1cnc(Nn2ccnc2)nc1; [None]; [None]; [0]
-Nc1ncc(Nc2ncc(Br)cn2)s1; [None]; [None]; [0]
-Cc1cncc(Nc2ncc(Br)cn2)n1; ['Cc1cncc(Cl)n1']; ['Nc1ncc(Br)cn1']; [0.998834074]
-Brc1cnc(NOC2CCOCC2)nc1; [None]; [None]; [0]
-Brc1cnc(Nc2cccc3ccsc23)nc1; ['Brc1cccc2ccsc12']; ['Nc1ncc(Br)cn1']; [0.926677167]
-COc1cccc(F)c1Nc1ncc(Br)cn1; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1F']; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999672771, 0.999672771]
-Nc1nc(Nc2ncc(Br)cn2)nc2ccccc12; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['Nc1nc(N)c2ccccc2n1', 'Nc1nc(N)c2ccccc2n1']; [0.998095, 0.998095]
-COc1ccc(C#N)cc1Nc1ncc(Br)cn1; ['COc1ccc(C#N)cc1N']; ['Fc1ncc(Br)cn1']; [0.99999404]
-Nc1nnc(Nc2ncc(Br)cn2)s1; ['Clc1ncc(Br)cn1']; ['Nc1nnc(N)s1']; [0.99947232]
-Brc1cnc(NCc2cccnc2)nc1; ['Brc1cnc(Br)nc1']; ['NCc1cccnc1']; [0.997179747]
-Brc1cnc(Nc2nc3ccccc3s2)nc1; ['Brc1nc2ccccc2s1']; ['Nc1ncc(Br)cn1']; [0.999878407]
-CC(C)(C)CNNc1ncc(Br)cn1; ['CC(C)(C)CCl']; ['NNc1ncc(Br)cn1']; [0.986097157]
-C[C@@]1(O)CC[C@H](Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(Nc2ncc(Br)cn2)c1; ['Cc1cc(C)cc(N)c1']; ['Clc1ncc(Br)cn1']; [0.99999392]
-Brc1cnc(Nc2c[nH]c3cccnc23)nc1; [None]; [None]; [0]
-Brc1cnc(NN2CCC(c3nc4ccccc4[nH]3)CC2)nc1; [None]; [None]; [0]
-N#Cc1ccc(Nc2ncc(Br)cn2)cc1; ['Fc1ncc(Br)cn1', 'N#Cc1ccc(Br)cc1']; ['N#Cc1ccc(N)cc1', 'Nc1ncc(Br)cn1']; [0.999996305, 0.999996305]
-CCOc1ccc(Nc2ncc(Br)cn2)cc1; ['CCOc1ccc(N)cc1']; ['Clc1ncc(Br)cn1']; [0.999957561]
-CC(C)(C)ONc1ncc(Br)cn1; [None]; [None]; [0]
-COc1ccc(OC)c(Nc2ncc(Br)cn2)c1; ['COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1']; [0.999577224, 0.999577224]
-COc1ncccc1Nc1ncc(Br)cn1; ['COc1ncccc1N']; ['Clc1ncc(Br)cn1']; [0.999914646]
-CS(=O)(=O)c1cccc(Nc2ncc(Br)cn2)c1; ['CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999992132, 0.999992132]
-Brc1cnc(NN2CC=C(c3c[nH]c4ccccc34)CC2)nc1; [None]; [None]; [0]
-COc1cc(Nc2ncc(Br)cn2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'Brc1cnc(I)nc1', 'COc1cc(I)cc(OC)c1OC']; ['Clc1ncc(Br)cn1', 'COc1cc(N)cc(OC)c1OC', 'Nc1ncc(Br)cn1']; [0.999976635, 0.999976635, 0.999976635]
-Cc1nn(C)cc1Nc1ncc(Br)cn1; ['Cc1nn(C)cc1N', 'Cc1nn(C)cc1Br']; ['Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.998909473, 0.998909473]
-Cc1n[nH]cc1Nc1ncc(Br)cn1; ['Cc1n[nH]cc1N']; ['Clc1ncc(Br)cn1']; [0.999821126]
-Brc1cnc(Nc2nc3ccccc3[nH]2)nc1; ['Brc1cnc(Br)nc1', 'Brc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1ncc(Br)cn1']; [0.999732912, 0.999732912]
-NC(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'NC(=O)c1ccc(Br)cc1']; ['NC(=O)c1ccc(N)cc1', 'Nc1ncc(Br)cn1']; [0.999949098, 0.999949098]
-O=C(Nc1ccccc1)c1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.999957323]
-Brc1cnc(NCc2nccc3ccccc23)nc1; ['Brc1cnc(I)nc1']; ['NCc1nccc2ccccc12']; [0.998521268]
-Cn1nncc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-COc1ccc(Nc2ncc(Br)cn2)cc1; ['COc1ccc(N)cc1', 'Brc1cnc(I)nc1', 'COc1ccc(I)cc1']; ['Clc1ncc(Br)cn1', 'COc1ccc(N)cc1', 'Nc1ncc(Br)cn1']; [0.999967694, 0.999967694, 0.999967694]
-Clc1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1']; ['Nc1ccc(Cl)cc1']; [0.999293447]
-OCCCNc1ncc(Br)cn1; ['CS(=O)(=O)c1ncc(Br)cn1']; ['NCCCO']; [0.945752144]
-Brc1cnc(Nc2cccc(C3CCNCC3)c2)nc1; [None]; [None]; [0]
-Cc1cc(Nc2ncc(Br)cn2)nn1C; ['Cc1cc(N)nn1C']; ['Clc1ncc(Br)cn1']; [0.999967098]
-Brc1cnc(NNc2ncccn2)nc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(Nc2ncc(Br)cn2)cc1; ['Fc1ncc(Br)cn1']; ['Nc1ccc(C(F)(F)F)cc1']; [0.999859095]
-Fc1cccc(Nc2ncc(Br)cn2)c1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1']; ['Nc1cccc(F)c1', 'Nc1cccc(F)c1']; [0.999981046, 0.999981046]
-CN(C)c1ccc(Nc2ncc(Br)cn2)cc1; ['Brc1cnc(I)nc1', 'CN(C)c1ccc(Br)cc1']; ['CN(C)c1ccc(N)cc1', 'Nc1ncc(Br)cn1']; [0.999898911, 0.999898911]
-Brc1cnc(Nc2cncnc2)nc1; ['Clc1ncc(Br)cn1']; ['Nc1cncnc1']; [0.99825877]
-Brc1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1ccc(I)cc1']; ['Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ncc(Br)cn1']; [0.999963164, 0.999963164, 0.999963164, 0.999963164]
-OCCOc1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
-Brc1cnc(Nc2cn[nH]c2)nc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1']; ['Nc1cn[nH]c1', 'Nc1cn[nH]c1']; [0.999923706, 0.999923706]
-C[C@H](O)COc1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
-Brc1cnc(Nc2ccc[nH]2)nc1; [None]; [None]; [0]
-Brc1cnc(Nc2cc3ccccc3cn2)nc1; ['Clc1ncc(Br)cn1']; ['Nc1cc2ccccc2cn1']; [0.999839544]
-COc1cc(Nc2ncc(Br)cn2)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O']; ['Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999885201, 0.999885201]
-Clc1ncc(Nc2ncc(Br)cn2)cn1; [None]; [None]; [0]
-COc1ccc(Cl)cc1Nc1ncc(Br)cn1; ['COc1ccc(Cl)cc1Br']; ['Nc1ncc(Br)cn1']; [0.98059535]
-Brc1cnc(Nc2ccc3c(c2)CCO3)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1']; ['Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2']; [0.999897122, 0.999897122, 0.999897122]
-Brc1cnc(Nc2cccc3c2OCO3)nc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2ncc(Br)cn2)cc1; ['CC(C)(C)c1ccc(N)cc1']; ['Clc1ncc(Br)cn1']; [0.999984384]
-Fc1ccc(Nc2ncc(Br)cn2)cc1F; ['Brc1cnc(Br)nc1', 'Fc1ccc(Br)cc1F']; ['Nc1ccc(F)c(F)c1', 'Nc1ncc(Br)cn1']; [0.999662042, 0.999662042]
-Brc1cnc(Nc2scc3c2OCCO3)nc1; [None]; [None]; [0]
-CSc1cccc(Nc2ncc(Br)cn2)c1; ['CSc1cccc(N)c1', 'CSc1cccc(N)c1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1']; [0.999985099, 0.999985099]
-Brc1cnc(Nc2cnc3ccccc3c2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1ncc(Br)cn1']; [0.99999392, 0.99999392]
-O[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CC1; ['Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['N[C@H]1CC[C@H](O)CC1', 'N[C@H]1CC[C@H](O)CC1']; [0.999720514, 0.999720514]
-Fc1ccc(Nc2ncc(Br)cn2)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(Nc2ncc(Br)cn2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Nc1ncc(Br)cn1']; [0.999878168]
-COc1ccc(Nc2ncc(Br)cn2)cc1OC; ['COc1ccc(N)cc1OC']; ['Fc1ncc(Br)cn1']; [0.999973536]
-CC[C@@H](CO)Nc1ncc(Br)cn1; ['Brc1cnc(I)nc1']; ['CC[C@H](N)CO']; [0.997595251]
-Brc1cnc(Nc2ncc(Br)cn2)nc1; ['Clc1ncc(Br)cn1']; ['Nc1ncc(Br)cn1']; [0.998093307]
-O[C@@H]1CC[C@H](Nc2ncc(Br)cn2)C1; [None]; [None]; [0]
-Clc1ccc(Nc2ncc(Br)cn2)c(Cl)c1; ['Clc1ncc(Br)cn1']; ['Nc1ccc(Cl)cc1Cl']; [0.999]
-Brc1cnc(Nc2ccsc2)nc1; ['Fc1ncc(Br)cn1']; ['Nc1ccsc1']; [0.999938726]
-CCc1ccc(Nc2ncc(Br)cn2)cc1; ['Brc1cnc(Br)nc1', 'CCc1ccc(Br)cc1']; ['CCc1ccc(N)cc1', 'Nc1ncc(Br)cn1']; [0.999117076, 0.999117076]
-Oc1ccc2cccc(Nc3ncc(Br)cn3)c2c1; ['Clc1ncc(Br)cn1']; ['Nc1cccc2ccc(O)cc12']; [0.999243259]
-COc1ccc2cccc(Nc3ncc(Br)cn3)c2c1; [None]; [None]; [0]
-Cn1cc(Nc2ncc(Br)cn2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(Nc2ncc(Br)cn2)ccc1Cl; ['COc1cc(N)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999997, 0.999997]
-Cc1ccc(Nc2ncc(Br)cn2)o1; [None]; [None]; [0]
-COc1cc(Nc2ncc(Br)cn2)cc(OC)c1; ['Brc1cnc(Br)nc1']; ['COc1cc(N)cc(OC)c1']; [0.99909091]
-COc1cc(F)c(Nc2ncc(Br)cn2)cc1OC; [None]; [None]; [0]
-Brc1cnc(Nc2ccc3cn[nH]c3c2)nc1; ['Fc1ncc(Br)cn1', 'Brc1ccc2cn[nH]c2c1']; ['Nc1ccc2cn[nH]c2c1', 'Nc1ncc(Br)cn1']; [0.999970078, 0.999970078]
-CNC(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CNC(=O)c1ccc(N)cc1']; ['Clc1ncc(Br)cn1']; [0.999949694]
-FC(F)(F)Oc1ccc(Nc2ncc(Br)cn2)cc1; ['Fc1ncc(Br)cn1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['Nc1ccc(OC(F)(F)F)cc1', 'Nc1ncc(Br)cn1']; [0.999964833, 0.999964833]
-CCc1cccc(Nc2ncc(Br)cn2)n1; ['CCc1cccc(N)n1']; ['Clc1ncc(Br)cn1']; [0.99979192]
-Cc1ccc(Nc2ncc(Br)cn2)nc1C; ['Cc1ccc(N)nc1C']; ['Clc1ncc(Br)cn1']; [0.999956846]
-COc1cc(Nc2ncc(Br)cn2)c(OC)cc1Br; [None]; [None]; [0]
-OCCc1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1ccc(CCO)cc1', 'OCCc1ccc(Br)cc1']; [0.999968529, 0.999968529]
-Brc1cnc(Nc2cc3ccccc3o2)nc1; [None]; [None]; [0]
-Brc1cnc(Nc2cscn2)nc1; ['Brc1cscn1']; ['Nc1ncc(Br)cn1']; [0.997042954]
-N#Cc1ccc(-c2ccncn2)cc1; ['CC(=O)c1ccc(C#N)cc1']; ['O=CNC(NC=O)NC=O']; [0.999995351]
-COc1cc(N2CCNCC2)ccc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(Nc2ncc(Br)cn2)c1; ['CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.998411298]
-CCOc1ccc(-c2ccncn2)cc1; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(C(C)=O)cc1']; ['Clc1ccncn1', 'O=CNC(NC=O)NC=O']; [0.999989152, 0.999989152]
-CS(=O)(=O)c1cccc(-c2ccncn2)c1; ['CS(=O)(=O)c1cccc(B(O)O)c1']; ['Clc1ccncn1']; [0.999983311]
-COc1ncccc1-c1ccncn1; ['COc1ncccc1B(O)O']; ['Clc1ccncn1']; [0.999526501]
-COc1cc(-c2ccncn2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(C(C)=O)cc(OC)c1OC']; ['Clc1ccncn1', 'O=CNC(NC=O)NC=O']; [0.999978781, 0.999978781]
-CS(=O)(=O)c1ccc(Cl)c(Nc2ncc(Br)cn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ncc(Br)cn1']; [0.992880166]
-Cn1cc(-c2ccncn2)cn1; ['Clc1ccncn1']; ['Cn1cc(B(O)O)cn1']; [0.999741495]
-Cc1n[nH]cc1-c1ccncn1; [None]; [None]; [0]
-Oc1cccc(-c2ccncn2)c1; ['Clc1ccncn1']; ['OB(O)c1cccc(O)c1']; [0.999838471]
-c1cnn2c(-c3ccncn3)cnc2c1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3ccncn3)nc2c1; ['Nc1ccccc1N', 'Cc1ccncn1']; ['O=C(O)c1ccncn1', 'Nc1ccccc1N']; [0.999776185, 0.999776185]
-Cn1nncc1-c1ccncn1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1ccncn1; [None]; [None]; [0]
-Cc1cc(Nc2ccncn2)sn1; [None]; [None]; [0]
-COc1ccc(-c2ccncn2)cc1; ['COc1ccc(C(=O)C=CN(C)C)cc1']; ['N=CN']; [0.999943733]
-NC(=O)c1ccc(-c2ccncn2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Clc1ccncn1']; ['Clc1ccncn1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.999993801, 0.999993801]
-Fc1cccc(-c2ccncn2)c1; ['Clc1ccncn1']; ['OB(O)c1cccc(F)c1']; [0.999911904]
-O=C(Nc1ccccc1)c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-c1ccc2c(Cc3ccncn3)nccc2c1; [None]; [None]; [0]
-Clc1ccc(-c2ccncn2)cc1; ['Clc1ccncn1']; ['OB(O)c1ccc(Cl)cc1']; [0.999937057]
-O=C(Nc1ccncn1)C1CC1; ['Nc1ccncn1', 'Clc1ccncn1']; ['O=C(O)C1CC1', 'NC(=O)C1CC1']; [0.999421477, 0.999421477]
-OCCOc1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccncn2)nn1C; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2ccncn2)cc1; ['CN(C)C=CC(=O)c1ccc(C(F)(F)F)cc1']; ['N=CN']; [0.999995351]
-c1cc(-c2ccncn2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccncn2)cc1; ['CC(=O)c1ccc(N(C)C)cc1']; ['O=CNC(NC=O)NC=O']; [0.999857306]
-CNS(=O)(=O)c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccncn2)s1; ['Cc1csc(C)n1']; ['c1cncnc1']; [0.935461819]
-c1cc(Cc2ccncn2)ccn1; ['ClCc1ccncc1']; ['c1cncnc1']; [0.895180166]
-Clc1ncc(-c2ccncn2)cn1; ['CC1(C)OB(c2cnc(Cl)nc2)OC1(C)C']; ['Clc1ccncn1']; [0.999932408]
-OC[C@@H](O)Cc1ccncn1; [None]; [None]; [0]
-Brc1ccc(-c2ccncn2)cc1; ['Clc1ccncn1']; ['OB(O)c1ccc(Br)cc1']; [0.999940276]
-c1cc(-n2ccnc2)ncn1; ['Clc1ccncn1']; ['c1c[nH]cn1']; [0.999835134]
-Oc1ccccc1Cc1ccncn1; [None]; [None]; [0]
-c1cncc(Cc2ccncn2)c1; ['ClCc1cccnc1', 'BrCc1cccnc1']; ['c1cncnc1', 'Clc1ccncn1']; [0.984234393, 0.984234393]
-COc1ccc(Cl)cc1-c1ccncn1; ['COc1ccc(Cl)cc1B(O)O']; ['Clc1ccncn1']; [0.999529362]
-c1cc(-c2cncnc2)ncn1; ['CC1(C)OB(c2cncnc2)OC1(C)C', 'Clc1ccncn1']; ['Clc1ccncn1', 'OB(O)c1cncnc1']; [0.999967933, 0.999967933]
-COc1ccc(Cc2ccncn2)cc1; ['COc1ccc(Br)cc1']; ['Cc1ccncn1']; [0.983159423]
-c1ccc2c(-c3ccncn3)c[nH]c2c1; [None]; [None]; [0]
-c1cc(-c2ccc3c(c2)CCO3)ncn1; ['CC(=O)c1ccc2c(c1)CCO2']; ['O=CNC(NC=O)NC=O']; [0.998378277]
-CC(=O)Nc1cccc(-c2ccncn2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1ccncn1']; [0.999952674]
-c1cc(Cn2ccnc2)ncn1; [None]; [None]; [0]
-COc1cc(-c2ccncn2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Clc1ccncn1']; [0.999876261]
-c1c[nH]c(-c2ccncn2)c1; [None]; [None]; [0]
-Fc1ccc(-c2ccncn2)cc1F; ['CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C', 'Clc1ccncn1']; ['Clc1ccncn1', 'OB(O)c1ccc(F)c(F)c1']; [0.999995828, 0.999995828]
-c1cc(-c2scc3c2OCCO3)ncn1; [None]; [None]; [0]
-c1ccc2ncc(-c3ccncn3)cc2c1; ['Clc1ccncn1']; ['OB(O)c1cnc2ccccc2c1']; [0.999911666]
-COCCOc1ccncn1; ['COCCO', 'COCC[O-]']; ['Clc1ccncn1', 'Clc1ccncn1']; [0.99642, 0.99642]
-c1ccc2cc(-c3ccncn3)ncc2c1; [None]; [None]; [0]
-c1coc(-c2ccncn2)c1; ['Clc1ccncn1']; ['c1ccoc1']; [0.997756898]
-c1cc2c(c(-c3ccncn3)c1)OCO2; [None]; [None]; [0]
-Cc1cc(-c2ccncn2)nc(N)n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccncn2)CC1; [None]; [None]; [0]
-CC1(COc2ccncn2)COC1; ['CC1(CO)COC1']; ['Oc1ccncn1']; [0.91551137]
-OC[C@H](Cc1ccccc1)c1ccncn1; [None]; [None]; [0]
-CSc1cccc(-c2ccncn2)c1; ['CSc1cccc(B(O)O)c1']; ['Clc1ccncn1']; [0.999512076]
-Fc1ccc(-c2ccncn2)c(Cl)c1; ['Clc1ccncn1']; ['OB(O)c1ccc(F)cc1Cl']; [0.999911427]
-O[C@@H]1CC[C@H](c2ccncn2)C1; [None]; [None]; [0]
-COc1ccc(-c2ccncn2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-Brc1cnc(-c2ccncn2)nc1; [None]; [None]; [0]
-Clc1ccc(-c2ccncn2)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(CNc2ccncn2)cc1; ['COc1ccc(C=O)cc1']; ['Nc1ccncn1']; [0.970502555]
-Cc1cc(C)cc(-c2ccncn2)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Clc1ccncn1']; [0.999973059]
-c1cc(-c2ccsc2)ncn1; ['Clc1ccncn1']; ['OB(O)c1ccsc1']; [0.999993801]
-Cn1cc(-c2ccncn2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccncn3)c2c1; [None]; [None]; [0]
-COc1cc(-c2ccncn2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Clc1ccncn1', 'Clc1ccncn1']; [0.999995112, 0.999995112]
-COc1cc(F)c(-c2ccncn2)cc1OC; [None]; [None]; [0]
-Cc1ccc(-c2ccncn2)o1; ['Cc1ccco1']; ['Clc1ccncn1']; [0.993985891]
-Oc1ccc2cccc(-c3ccncn3)c2c1; [None]; [None]; [0]
-Cc1nc(Nc2ccncn2)sc1C; ['Cc1nc(Br)sc1C']; ['Nc1ccncn1']; [0.999906659]
-COc1cc(-c2ccncn2)c(OC)cc1Br; [None]; [None]; [0]
-c1cc(-c2ccc3cn[nH]c3c2)ncn1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Clc1ccncn1']; ['Clc1ccncn1', 'OB(O)c1ccc2cn[nH]c2c1']; [0.999998, 0.999998]
-CC(C)Oc1ccncn1; ['CC(C)I', 'CC(C)O', 'CC(C)O']; ['Oc1ccncn1', 'Clc1ccncn1', 'O=c1ccnc[nH]1']; [0.999543488, 0.999543488, 0.999543488]
-COc1cc(OC)cc(-c2ccncn2)c1; ['COc1cc(OC)cc(C(C)=O)c1']; ['O=CNC(NC=O)NC=O']; [0.999998093]
-c1ccc2oc(-c3ccncn3)cc2c1; ['Clc1ccncn1']; ['OB(O)c1cc2ccccc2o1']; [0.999956489]
-CCn1cc(-c2ccncn2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Clc1ccncn1']; [0.9999789]
-FC(F)(F)Oc1ccc(-c2ccncn2)cc1; ['Clc1ccncn1']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999999762]
-COC(=O)Nc1ccncn1; ['COC(=O)Cl']; ['Nc1ccncn1']; [0.998884618]
-CNC(=O)c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccncn2)nc1C; [None]; [None]; [0]
-CCc1cccc(-c2ccncn2)n1; [None]; [None]; [0]
-c1cc(-c2cscn2)ncn1; [None]; [None]; [0]
-OCCc1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-c1ccc(Nc2ccncn2)nc1; ['Brc1ccccn1', 'Clc1ccncn1']; ['Nc1ccncn1', 'Nc1ccccn1']; [0.995277405, 0.995277405]
-COc1cc(N2CCNCC2)ccc1-c1ccncn1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2ccncn2)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccncn1; ['CCOc1ccccc1B(O)O']; ['Clc1ccncn1']; [0.999901175]
-Fc1ccc(Nc2ccncn2)nc1; ['Clc1ccncn1']; ['Nc1ccc(F)cn1']; [0.998323858]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccncn2)c1; [None]; [None]; [0]
-c1ccc2c(-c3ccncn3)ccnc2c1; ['Clc1ccncn1']; ['OB(O)c1ccnc2ccccc12']; [0.999139667]
-CNC(=O)c1ccccc1-c1ccncn1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ccncn2)c1; ['Clc1ccncn1']; ['Fc1cc(F)cc(C[Zn]Br)c1']; [0.999742091]
-O[C@H]1C[C@@H](c2ccncn2)C1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ccncn2)c1; ['CN(C)C=CC(=O)c1cccc(C(F)(F)F)c1']; ['N=CN']; [0.999997735]
-Clc1ccccc1-c1ccncn1; ['Clc1ccncn1', 'CC(=O)c1ccccc1Cl']; ['OB(O)c1ccccc1Cl', 'O=CNC(NC=O)NC=O']; [0.999733746, 0.999733746]
-c1cncc(-c2ccncn2)c1; ['CC1(C)OB(c2cccnc2)OC1(C)C']; ['Clc1ccncn1']; [0.999955773]
-Brc1ccccc1-c1ccncn1; ['Clc1ccncn1']; ['OB(O)c1ccccc1Br']; [0.999808609]
-c1cc(-c2cc[nH]n2)ncn1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1ccncn1; ['Clc1ccncn1', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C']; ['OB(O)c1ccccc1OC(F)(F)F', 'Clc1ccncn1']; [0.999864817, 0.999864817]
-Fc1ccccc1-c1ccncn1; ['Clc1ccncn1', 'CC(=O)c1ccccc1F']; ['OB(O)c1ccccc1F', 'O=CNC(NC=O)NC=O']; [0.999934435, 0.999934435]
-Fc1cccc(F)c1-c1ccncn1; ['Clc1ccncn1', 'CC(=O)c1c(F)cccc1F']; ['OB(O)c1c(F)cccc1F', 'O=CNC(NC=O)NC=O']; [0.999974251, 0.999974251]
-N#Cc1ccccc1-c1ccncn1; ['CC1(C)OB(c2ccccc2C#N)OC1(C)C']; ['Clc1ccncn1']; [0.999897838]
-NC(=O)c1ccccc1-c1ccncn1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccncn3)cn2)cc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Clc1ccncn1']; [0.999979854]
-N[C@H](c1ccncn1)c1ccco1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ccncn3)[nH]2)cc1; [None]; [None]; [0]
-c1cc(-c2ccncn2)ncn1; ['Clc1ccncn1']; ['Clc1ccncn1']; [0.992734671]
-OCCn1cc(-c2ccncn2)cn1; ['OCCCl']; ['c1cc(-c2cn[nH]c2)ncn1']; [0.998015165]
-c1cc(-c2ccc3c(c2)CCC3)ncn1; ['CC(=O)c1ccc2c(c1)CCC2']; ['O=CNC(NC=O)NC=O']; [0.995795727]
-Cc1ccc(-c2ccncn2)c(Br)c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccncn2)c1)c1ccccc1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ccncn1; [None]; [None]; [0]
-c1ccn2c(-c3ccncn3)cnc2c1; [None]; [None]; [0]
-c1cc(OC2CCCCC2)ncn1; ['Clc1ccncn1']; ['OC1CCCCC1']; [0.997386515]
-CC(C)(C)Nc1ccncn1; ['CC(C)(C)N']; ['Clc1ccncn1']; [0.994564652]
-Clc1cccc(-c2ccncn2)c1Cl; ['Clc1cccc([Mg]Br)c1Cl']; ['Clc1ccncn1']; [0.999486327]
-c1cc(-c2cnco2)ncn1; [None]; [None]; [0]
-Cc1ncc(-c2ccncn2)[nH]1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ccncn1; ['Clc1ccncn1', 'CC(=O)c1c(Cl)cccc1Cl']; ['OB(O)c1c(Cl)cccc1Cl', 'O=CNC(NC=O)NC=O']; [0.999510169, 0.999510169]
-COc1cccc(-c2ccncn2)c1; ['COc1cccc(B(O)O)c1']; ['Clc1ccncn1']; [0.999890089]
-Cc1ccc(Cl)c(-c2ccncn2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1ccncn1']; [0.999617457]
-c1ccc2cc(-c3ccncn3)ccc2c1; ['CC(=O)c1ccc2ccccc2c1']; ['O=CNC(NC=O)NC=O']; [0.999894261]
-C[C@H](CO)Nc1ccncn1; ['C[C@@H](N)CO']; ['Clc1ccncn1']; [0.999620676]
-c1ccc2c(c1)ncn2-c1ccncn1; ['Clc1ccncn1']; ['c1ccc2[nH]cnc2c1']; [0.999948859]
-O=C(Nc1ccncn1)c1cccs1; ['Nc1ccncn1']; ['O=C(O)c1cccs1']; [0.999235511]
-Nc1nccc(-c2ccncn2)n1; [None]; [None]; [0]
-Clc1ccc(-c2ccncn2)s1; ['Clc1ccncn1', 'Clc1cccs1']; ['OB(O)c1ccc(Cl)s1', 'c1cncnc1']; [0.999923229, 0.999923229]
-CC(C)COc1ccncn1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ccncn1; [None]; [None]; [0]
-Cn1cncc1-c1ccncn1; ['CCCC[Sn](CCCC)(CCCC)c1cncn1C']; ['Clc1ccncn1']; [0.998146057]
-c1ccc2c(-c3ccncn3)cncc2c1; ['Clc1ccncn1']; ['OB(O)c1cncc2ccccc12']; [0.999285042]
-OCc1cccc(-c2ccncn2)c1; ['Clc1ccncn1']; ['OCc1cccc(B(O)O)c1']; [0.997194052]
-CC(C)Nc1ccncn1; ['CC(C)N']; ['Clc1ccncn1']; [0.99640584]
-c1cc(Nc2ccncn2)ccn1; ['Brc1ccncc1', 'Ic1ccncc1']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.996096551, 0.996096551]
-c1csc(-c2ccncn2)c1; ['Clc1ccncn1', 'c1ccsc1']; ['OB(O)c1cccs1', 'c1cncnc1']; [0.999969959, 0.999969959]
-Fc1ccc(-c2ccncn2)c(C(F)(F)F)c1; ['Clc1ccncn1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999986887]
-N#CCCc1cccc(-c2ccncn2)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccncn1; ['CCC(=O)Cl', 'CCC(=O)F']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.99847728, 0.99847728]
-CCC(=O)Nc1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccncn2)no1; [None]; [None]; [0]
-c1cc(-c2cnoc2)ncn1; [None]; [None]; [0]
-COc1ccc(-c2ccncn2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Clc1ccncn1']; [0.999996066]
-CCCn1cc(-c2ccncn2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Clc1ccncn1']; [0.999989867]
-O=C1CCc2cccc(-c3ccncn3)c21; [None]; [None]; [0]
-CCOC(=O)Cc1ccncn1; ['CCOC(=O)OCC']; ['Cc1ccncn1']; [0.922308087]
-CC(C)(N)c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccncn2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Clc1ccncn1']; [0.999367177]
-CCN(CC)c1ccncn1; ['CCNCC']; ['Clc1ccncn1']; [0.999713242]
-O=c1[nH]ccc2oc(-c3ccncn3)cc12; [None]; [None]; [0]
-COc1ccncc1Nc1ccncn1; ['COc1ccncc1N']; ['Clc1ccncn1']; [0.999536753]
-c1cc(-c2c[nH]c3cnccc23)ncn1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccncn2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccncn2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccncn1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccncn2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccncn2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ccncn1']; [0.999990821]
-c1ccc2c(c1)cnn2-c1ccncn1; ['Clc1ccncn1']; ['c1ccc2[nH]ncc2c1']; [0.998305917]
-NC(=O)c1c(F)cccc1-c1ccncn1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccncn2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ccncn1']; [0.999996424]
-Oc1cccc2c1cnn2-c1ccncn1; [None]; [None]; [0]
-Oc1ncccc1-c1ccncn1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccncn2)cc1; ['Clc1ccncn1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999896765]
-Oc1ccc2nc(-c3ccncn3)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2ccncn2)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Clc1ccncn1']; [0.999519706]
-c1cc(OC2CCOCC2)ncn1; ['BrC1CCOCC1']; ['Oc1ccncn1']; [0.998684943]
-Nc1nnc(-c2ccncn2)s1; [None]; [None]; [0]
-Nc1ncc(-c2ccncn2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccncn1; ['COc1cccc(F)c1C(C)=O']; ['O=CNC(NC=O)NC=O']; [0.999655604]
-Cc1cncc(-c2ccncn2)n1; [None]; [None]; [0]
-c1ccc2sc(-c3ccncn3)nc2c1; ['Cc1ccncn1']; ['Nc1ccccc1']; [0.998840034]
-Nc1nc(-c2ccncn2)nc2ccccc12; [None]; [None]; [0]
-CC(C)(C)Oc1ccncn1; ['CC(C)(C)O']; ['Clc1ccncn1']; [0.960594]
-c1cc(-c2ccncn2)c2sccc2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccncn3)c[nH]c2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccncn1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccncn2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Clc1ccncn1']; [0.999971509]
-CC(C)(C)CNc1ccncn1; ['CC(C)(C)CN']; ['Clc1ccncn1']; [0.998915076]
-c1ccc2[nH]c(C3CCN(c4ccncn4)CC3)nc2c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ccncn2)CC1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C)o2)o1; ['Cc1ccc(Br)o1']; ['Cc1ccc(Br)o1']; [0.87753886]
-Cc1ccc(-c2ccc(C#N)cc2)o1; ['Cc1ccco1', 'Cc1ccco1', 'Cc1ccco1']; ['N#Cc1ccc(I)cc1', 'N#Cc1ccc(N)cc1', 'N#Cc1ccc(Cl)cc1']; [0.999709666, 0.999709666, 0.999709666]
-COc1ncccc1-c1ccc(C)o1; ['COc1ncccc1Cl']; ['Cc1ccc(B(O)O)o1']; [0.940872669]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccncn2)C1; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]nc2C)o1; [None]; [None]; [0]
-CCOc1ccc(-c2ccc(C)o2)cc1; ['CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(N)cc1']; ['Cc1ccc(B(O)O)o1', 'Cc1ccco1', 'Cc1ccco1']; [0.998456478, 0.998456478, 0.998456478]
-Cc1ccc(-c2cnnn2C)o1; ['Cc1ccco1']; ['Cn1ccnn1']; [0.999071]
-COc1cc(-c2ccc(C)o2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC']; ['Cc1ccco1']; [0.976485729]
-Cc1ccc(-c2cccc(S(C)(=O)=O)c2)o1; ['CS(=O)(=O)c1cccc(N)c1']; ['Cc1ccco1']; [0.999098301]
-Cc1ccc(-c2cn(C)nc2C)o1; [None]; [None]; [0]
-COc1ccc(-c2ccc(C)o2)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(N)cc1', 'COc1ccc(S(=O)(=O)Cl)cc1']; ['Cc1ccc(Br)o1', 'Cc1ccco1', 'Cc1ccco1']; [0.999954104, 0.999954104, 0.999954104]
-Cc1ccc(-c2cnc3cccnn23)o1; [None]; [None]; [0]
-Cc1ccc(-c2nc3ccccc3[nH]2)o1; ['Cc1ccc(C=O)o1']; ['Nc1ccccc1N']; [0.973085165]
-Cc1ccc(-c2cnn(C)c2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(N)=O)cc2)o1; ['Cc1ccc(B(O)O)o1']; ['NC(=O)c1ccc(I)cc1']; [0.993738532]
-Cc1ccc(-c2cccc(O)c2)o1; ['Cc1ccco1', 'Cc1ccco1']; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1']; [0.994384885, 0.994384885]
-Cc1ccc(-c2ccc(C(=O)Nc3ccccc3)cc2)o1; ['Cc1ccc(-c2ccc(C(=O)O)cc2)o1', 'Cc1ccc(B(O)O)o1']; ['Nc1ccccc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.998752952, 0.998752952]
-Cc1ccc(-c2cccc(F)c2)o1; ['Cc1ccco1', 'Cc1ccc(B(O)O)o1', 'Cc1ccco1', 'Cc1ccco1']; ['Fc1cccc(Br)c1', 'Fc1cccc(Br)c1', 'Fc1cccc(Cl)c1', 'Nc1cccc(F)c1']; [0.999523759, 0.999523759, 0.999523759, 0.999523759]
-Cc1ccc(NC(=O)C2CC2)o1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C)o2)sn1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(OCCO)cc2)o1; ['Cc1ccco1']; ['OCCOc1ccc(Br)cc1']; [0.976194]
-Cc1ccc(-c2cccc(C3CCNCC3)c2)o1; ['Brc1cccc(C2CCNCC2)c1']; ['Cc1ccc(B(O)O)o1']; [0.998612881]
-Cc1ccc(Cc2nccc3ccccc23)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(Cl)cc2)o1; ['Cc1ccc(Br)o1', 'Cc1ccco1']; ['OB(O)c1ccc(Cl)cc1', 'Clc1ccc(Cl)cc1']; [0.999920726, 0.999920726]
-CNS(=O)(=O)c1ccc(-c2ccc(C)o2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Cc1ccco1']; [0.906721771]
-Cc1ccc(-c2cc(C)n(C)n2)o1; ['Cc1ccco1']; ['Cc1ccnn1C']; [0.841133654]
-Cc1ccc(-c2ccc(OC[C@H](C)O)cc2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(N(C)C)cc2)o1; ['CN(C)c1ccc(S(=O)(=O)Cl)cc1']; ['Cc1ccco1']; [0.961417913]
-Cc1ccc(-c2ccc(C(F)(F)F)cc2)o1; ['Cc1ccc(B(O)O)o1', 'Cc1ccco1', 'Cc1ccco1']; ['FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'Nc1ccc(C(F)(F)F)cc1']; [0.999981642, 0.999981642, 0.999981642]
-Cc1ccc(Cc2ccccc2O)o1; [None]; [None]; [0]
-Cc1ccc(Cc2ccncc2)o1; ['BrCc1ccncc1']; ['Cc1ccco1']; [0.976051271]
-Cc1ccc(-c2sc(C)nc2C)o1; [None]; [None]; [0]
-Cc1ccc(-c2cnc(Cl)nc2)o1; ['Cc1ccco1']; ['Clc1ncc(Br)cn1']; [0.904066384]
-Cc1ccc(Cc2cccnc2)o1; [None]; [None]; [0]
-Cc1ccc(C[C@H](O)CO)o1; ['Cc1ccco1']; ['OC[C@H]1CO1']; [0.974333048]
-Cc1ccc(-c2cncnc2)o1; ['Brc1cncnc1']; ['Cc1ccc(B(O)O)o1']; [0.995213509]
-COc1ccc(Cc2ccc(C)o2)cc1; ['COc1ccc(CCl)cc1']; ['Cc1ccco1']; [0.996940374]
-Cc1ccc(-c2ccc(Br)cc2)o1; ['Cc1ccco1', 'Cc1ccco1']; ['Nc1ccc(Br)cc1', 'O=C(O)c1ccc(Br)cc1']; [0.984738588, 0.984738588]
-COc1ccc(Cl)cc1-c1ccc(C)o1; ['COc1ccc(Cl)cc1S(=O)(=O)Cl']; ['Cc1ccco1']; [0.815719545]
-Cc1ccc(-n2ccnc2)o1; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c3ccccc23)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc[nH]2)o1; [None]; [None]; [0]
-Cc1ccc(-c2cn[nH]c2)o1; [None]; [None]; [0]
-Cc1ccc(-c2cc3ccccc3cn2)o1; ['Cc1ccc(B(O)O)o1']; ['Clc1cc2ccccc2cn1']; [0.999889374]
-Cc1ccc(-c2ccc3c(c2)CCO3)o1; ['Brc1ccc2c(c1)CCO2']; ['Cc1ccc(B(O)O)o1']; [0.999609411]
-CC(=O)Nc1cccc(-c2ccc(C)o2)c1; ['CC(=O)Nc1cccc(Br)c1']; ['Cc1ccc(B(O)O)o1']; [0.997794271]
-Cc1ccc(Cn2ccnc2)o1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3c2OCO3)o1; [None]; [None]; [0]
-Cc1ccc(-c2scc3c2OCCO3)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(C)(C)C)cc2)o1; ['CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Cc1ccc(Br)o1', 'Cc1ccc(B(O)O)o1', 'Cc1ccco1']; [0.999990106, 0.999990106, 0.999990106]
-COc1cc(-c2ccc(C)o2)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O']; ['Cc1ccc(B(O)O)o1', 'Cc1ccco1']; [0.985635638, 0.985635638]
-Cc1ccc(-c2ccc(F)c(F)c2)o1; ['Cc1ccc(Br)o1']; ['OB(O)c1ccc(F)c(F)c1']; [0.999993801]
-Cc1ccc(-c2cnc3ccccc3c2)o1; ['Cc1ccc(Br)o1', 'Brc1cnc2ccccc2c1']; ['OB(O)c1cnc2ccccc2c1', 'Cc1ccco1']; [0.99753952, 0.99753952]
-COCCOc1ccc(C)o1; ['COCCBr']; ['Cc1ccc(O)o1']; [0.862359643]
-Cc1ccc(OCC2(C)COC2)o1; [None]; [None]; [0]
-CSc1cccc(-c2ccc(C)o2)c1; ['CSc1cccc(B(O)O)c1']; ['Cc1ccc(Br)o1']; [0.9998312]
-Cc1cc(-c2ccc(C)o2)nc(N)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(F)cc2Cl)o1; ['Cc1ccc(B(O)O)o1', 'Cc1ccc(B(O)O)o1', 'Cc1ccco1', 'Cc1ccco1']; ['Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'O=S(=O)(Cl)c1ccc(F)cc1Cl', 'O=C(O)c1ccc(F)cc1Cl']; [0.999368846, 0.999368846, 0.999368846, 0.999368846]
-Cc1ccc(-c2ccco2)o1; [None]; [None]; [0]
-Cc1ccc([C@H](CO)Cc2ccccc2)o1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CC[C@@H](O)CC2)o1; [None]; [None]; [0]
-COc1ccc(-c2ccc(C)o2)cc1OC; ['COc1ccc(N)cc1OC']; ['Cc1ccco1']; [0.994454563]
-Cc1ccc(-c2ncc(Br)cn2)o1; ['Cc1ccc(B(O)O)o1']; ['Clc1ncc(Br)cn1']; [0.99346751]
-Cc1ccc([C@H]2CC[C@@H](O)C2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(Cl)cc2Cl)o1; ['Cc1ccco1']; ['Nc1ccc(Cl)cc1Cl']; [0.974284172]
-COc1ccc(CNc2ccc(C)o2)cc1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C)o2)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(I)cc1']; ['Cc1ccc(Br)o1', 'Cc1ccco1', 'Cc1ccco1']; [0.999291301, 0.999291301, 0.999291301]
-Cc1cc(C)cc(-c2ccc(C)o2)c1; ['Cc1cc(C)cc(N)c1', 'Cc1cccc(C)c1']; ['Cc1ccco1', 'Cc1ccco1']; [0.998695433, 0.998695433]
-Cc1ccc(-c2ccsc2)o1; ['Cc1ccc(Br)o1']; ['OB(O)c1ccsc1']; [0.999962211]
-Cc1ccc(-c2cn(C)nc2C(F)(F)F)o1; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccc(C)o3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2ccc(C)o2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2ccc(C)o2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['Cc1ccc(Br)o1']; [0.999902]
-Cc1ccc(-c2cccc3ccc(O)cc23)o1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(C)n(C)n2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3cn[nH]c3c2)o1; ['Brc1ccc2cn[nH]c2c1']; ['Cc1ccc(B(O)O)o1']; [0.999877334]
-COc1cc(-c2ccc(C)o2)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['Cc1ccc(B(O)O)o1']; [0.935573339]
-Cc1ccc(OC(C)C)o1; ['CC(C)I']; ['Cc1ccc(O)o1']; [0.951920152]
-Cc1ccc(Nc2nc(C)c(C)s2)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(C)o2)cc1; ['CN', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(N)cc1']; ['Cc1ccc(-c2ccc(C(=O)O)cc2)o1', 'Cc1ccco1', 'Cc1ccco1']; [0.99240005, 0.99240005, 0.99240005]
-Cc1ccc(-c2cc3ccccc3o2)o1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc(C)o2)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(N)cc(OC)c1']; ['Cc1ccc(Br)o1', 'Cc1ccc(B(O)O)o1', 'Cc1ccco1']; [0.999963522, 0.999963522, 0.999963522]
-CCn1cc(-c2ccc(C)o2)cn1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(OC(F)(F)F)cc2)o1; ['Cc1ccco1']; ['FC(F)(F)Oc1ccc(Cl)cc1']; [0.996099591]
-Cc1ccc(-c2cscn2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C)c(C)n2)o1; [None]; [None]; [0]
-COC(=O)Nc1ccc(C)o1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(N3CCCC3=O)c2)o1; ['Cc1ccc(B(O)O)o1']; ['O=C1CCCN1c1cccc(Br)c1']; [0.999946237]
-Cc1ccc(Nc2ccc(F)cn2)o1; [None]; [None]; [0]
-CCc1cccc(-c2ccc(C)o2)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(CCO)cc2)o1; ['Cc1ccco1']; ['OCCc1ccc(Br)cc1']; [0.955061853]
-COc1cc(N2CCNCC2)ccc1-c1ccc(C)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C)o2)o1; [None]; [None]; [0]
-Cc1ccc(-c2cc(S(C)(=O)=O)ccc2Cl)o1; [None]; [None]; [0]
-Cc1ccc(Nc2ccccn2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C#N)cc2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['N#Cc1ccc(Br)cc1', 'N#Cc1ccc(N)cc1']; [0.999940276, 0.999940276]
-CCOc1ccc(-c2ccc(CC)o2)cc1; ['CCOc1ccc(Br)cc1', 'CCOc1ccc(S(=O)(=O)Cl)cc1']; ['CCc1ccco1', 'CCc1ccco1']; [0.99956876, 0.99956876]
-CCc1ccc(-c2c[nH]nc2C)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccnc2OC)o1; ['CCc1ccco1']; ['COc1ncccc1N']; [0.864990056]
-CCc1ccc(-c2cccc(S(C)(=O)=O)c2)o1; ['CCc1ccco1']; ['CS(=O)(=O)c1cccc(S(=O)(=O)Cl)c1']; [0.998949468]
-CCc1ccc(-c2cc(OC)c(OC)c(OC)c2)o1; ['CCc1ccco1']; ['COc1cc(Br)cc(OC)c1OC']; [0.999487519]
-CCc1ccc(-c2cnnn2C)o1; ['CCc1ccco1']; ['Cn1ccnn1']; [0.975865602]
-CCc1ccc(-c2cn(C)nc2C)o1; [None]; [None]; [0]
-CCc1ccc(-c2cnn(C)c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cnc3cccnn23)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(O)c2)o1; ['CCc1ccco1']; ['Oc1cccc(I)c1']; [0.994349301]
-CCc1ccc(-c2ccc(OC)cc2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['COc1ccc(Br)cc1', 'COc1ccc(S(=O)(=O)Cl)cc1']; [0.999821484, 0.999821484]
-CCc1ccc(-c2nc3ccccc3[nH]2)o1; ['CCc1ccc(C=O)o1']; ['Nc1ccccc1N']; [0.999594033]
-CCc1ccc(Nc2cc(C)ns2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(N)=O)cc2)o1; ['CCc1ccco1']; ['NC(=O)c1ccc(N)cc1']; [0.995081425]
-CCc1ccc(Nc2ncccn2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(F)c2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['Fc1cccc(Br)c1', 'O=S(=O)(Cl)c1cccc(F)c1']; [0.999733031, 0.999733031]
-CCc1ccc(-c2ccc(C(=O)Nc3ccccc3)cc2)o1; [None]; [None]; [0]
-CCc1ccc(Cc2nccc3ccccc23)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(OCCO)cc2)o1; ['CCc1ccco1']; ['OCCOc1ccc(Br)cc1']; [0.997579515]
-CCc1ccc(-c2ccc(Cl)cc2)o1; ['CCc1ccco1']; ['Clc1ccc(Cl)cc1']; [0.998944]
-CCc1ccc(NC(=O)C2CC2)o1; [None]; [None]; [0]
-CCc1ccc(Nc2ccncn2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(S(=O)(=O)NC)cc2)o1; ['CCc1ccco1']; ['CNS(=O)(=O)c1ccc(Br)cc1']; [0.985344231]
-CCc1ccc(-c2cc(C)n(C)n2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(F)(F)F)cc2)o1; ['CCc1ccco1']; ['FC(F)(F)c1ccc(Br)cc1']; [0.999982]
-CCc1ccc(-c2cccc(C3CCNCC3)c2)o1; [None]; [None]; [0]
-CCc1ccc(Cc2ccccc2O)o1; [None]; [None]; [0]
-CCc1ccc(-c2sc(C)nc2C)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(OC[C@H](C)O)cc2)o1; [None]; [None]; [0]
-CCc1ccc(Cc2cccnc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N(C)C)cc2)o1; [None]; [None]; [0]
-CCc1ccc(C[C@H](O)CO)o1; ['CCc1ccco1']; ['OC[C@H]1CO1']; [0.986192763]
-CCc1ccc(Cc2ccncc2)o1; ['BrCc1ccncc1']; ['CCc1ccco1']; [0.899123669]
-CCc1ccc(-c2cncnc2)o1; ['Brc1cncnc1']; ['CCc1ccco1']; [0.999070227]
-CCc1ccc(-c2ccc(Br)cc2)o1; ['Brc1ccc(I)cc1', 'CCc1ccco1', 'CCc1ccco1']; ['CCc1ccco1', 'Nc1ccc(Br)cc1', 'Clc1ccc(Br)cc1']; [0.999872208, 0.999872208, 0.999872208]
-CCc1ccc(-c2cnc(Cl)nc2)o1; ['CCc1ccco1']; ['Clc1ncc(Br)cn1']; [0.970560431]
-CCc1ccc(Cc2ccc(OC)cc2)o1; ['CCc1ccco1']; ['COc1ccc(CBr)cc1']; [0.91034627]
-CCc1ccc(-c2cc(Cl)ccc2OC)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1S(=O)(=O)Cl']; [0.999870777, 0.999870777, 0.999870777, 0.999870777]
-CCc1ccc(-c2c[nH]c3ccccc23)o1; [None]; [None]; [0]
-CCc1ccc(-n2ccnc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc[nH]2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cn[nH]c2)o1; ['Brc1cn[nH]c1']; ['CCc1ccco1']; [0.990042686]
-CCc1ccc(-c2ccc3c(c2)CCO3)o1; ['CCc1ccco1']; ['O=S(=O)(Cl)c1ccc2c(c1)CCO2']; [0.993396103]
-CCc1ccc(Cn2ccnc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(O)c(OC)c2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['COc1cc(I)ccc1O', 'COc1cc(N)ccc1O']; [0.995919466, 0.995919466]
-CCc1ccc(-c2cc3ccccc3cn2)o1; ['CCc1ccco1']; ['Clc1cc2ccccc2cn1']; [0.996797144]
-CCc1ccc(-c2ccc(F)c(F)c2)o1; ['CCc1ccco1']; ['Nc1ccc(F)c(F)c1']; [0.999118507]
-CCc1ccc(-c2cccc3c2OCO3)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(NC(C)=O)c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(C)(C)C)cc2)o1; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(S(=O)(=O)Cl)cc1']; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; [0.999936223, 0.999936223, 0.999936223]
-CCc1ccc(OCCOC)o1; [None]; [None]; [0]
-CCc1ccc(-c2scc3c2OCCO3)o1; ['CCc1ccco1']; ['c1scc2c1OCCO2']; [0.999786675]
-CCc1ccc(-c2cnc3ccccc3c2)o1; ['Brc1cnc2ccccc2c1']; ['CCc1ccco1']; [0.999583304]
-CCc1ccc(OCC2(C)COC2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(SC)c2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['CSc1cccc(Cl)c1', 'CSc1cccc(Br)c1']; [0.996609449, 0.996609449]
-CCc1ccc(-c2cc(C)nc(N)n2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(F)cc2Cl)o1; ['CCc1ccco1']; ['O=S(=O)(Cl)c1ccc(F)cc1Cl']; [0.987976372]
-CCc1ccc(-c2ccco2)o1; [None]; [None]; [0]
-CCc1ccc([C@H](CO)Cc2ccccc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(OC)c(OC)c2)o1; ['CCc1ccco1']; ['COc1ccc(S(=O)(=O)Cl)cc1OC']; [0.993649542]
-CCc1ccc([C@@H]2CC[C@@H](O)CC2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ncc(Br)cn2)o1; [None]; [None]; [0]
-CCc1ccc([C@H]2CC[C@@H](O)C2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(Cl)cc2Cl)o1; ['CCc1ccco1', 'CCc1ccco1']; ['Clc1ccc(I)c(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1']; [0.999575198, 0.999575198]
-CCc1ccc(-c2ccc(CC)o2)cc1; ['CCc1ccc(S(=O)(=O)Cl)cc1']; ['CCc1ccco1']; [0.986901104]
-CCc1ccc(-c2cc(C)cc(C)c2)o1; ['CCc1ccco1']; ['Cc1cc(C)cc(Cl)c1']; [0.999658585]
-CCc1ccc(-c2ccsc2)o1; ['CCc1ccco1']; ['O=S(=O)(Cl)c1ccsc1']; [0.997299492]
-CCc1ccc(NCc2ccc(OC)cc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc3ccc(OC)cc23)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(Cl)c(OC)c2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['COc1cc(Br)ccc1Cl', 'COc1cc(N)ccc1Cl']; [0.999919534, 0.999919534]
-CCc1ccc(-c2cc(OC)c(OC)cc2F)o1; [None]; [None]; [0]
-CCc1ccc(-c2cn(C)nc2C(F)(F)F)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc3ccc(O)cc23)o1; [None]; [None]; [0]
-CCc1ccc(Nc2cc(C)n(C)n2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(OC)c(Br)cc2OC)o1; ['CCc1ccco1']; ['COc1cc(Br)c(OC)cc1Br']; [0.985118926]
-CCc1ccc(-c2ccc3cn[nH]c3c2)o1; ['Brc1ccc2cn[nH]c2c1']; ['CCc1ccco1']; [0.986019254]
-CCc1ccc(Nc2nc(C)c(C)s2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(OC)cc(OC)c2)o1; ['CCc1ccco1']; ['COc1cc(N)cc(OC)c1']; [0.999133289]
-CCc1ccc(OC(C)C)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(=O)NC)cc2)o1; ['CCc1ccco1']; ['CNC(=O)c1ccc(Br)cc1']; [0.999339879]
-CCc1ccc(-c2cc3ccccc3o2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(OC(F)(F)F)cc2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'O=S(=O)(Cl)c1ccc(OC(F)(F)F)cc1']; [0.999999404, 0.999999404, 0.999999404, 0.999999404]
-CCc1ccc(-c2cnn(CC)c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cscn2)o1; [None]; [None]; [0]
-CCc1ccc(NC(=O)OC)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C)c(C)n2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(CCO)cc2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['OCCc1ccc(Br)cc1', 'OCCc1ccc(Cl)cc1']; [0.997588038, 0.997588038]
-CCc1cccc(-c2ccc(CC)o2)n1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N3CCNCC3)cc2OC)o1; [None]; [None]; [0]
-CCc1ccc(Nc2ccc(F)cn2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(S(C)(=O)=O)ccc2Cl)o1; ['CCc1ccco1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; [0.994176388]
-CCc1ccc(-c2cccc(N3CCCC3=O)c2)o1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-COc1ncccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-CCc1ccc(Nc2ccccn2)o1; [None]; [None]; [0]
-CCOc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Cn1nncc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-COc1cc(-c2ccnc(Nc3ccccc3)n2)cc(OC)c1OC; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cnc4cccnn34)n2)cc1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-COc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['COc1ccc(C(=O)C=CN(C)C)cc1']; ['N=C(N)Nc1ccccc1']; [0.999994159]
-c1ccc(Nc2nccc(-c3nc4ccccc4[nH]3)n2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
-c1ccc(Nc2nccc(Nc3ncccn3)n2)cc1; []; []; []
-NC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Oc1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-c1ccc(Nc2nccc(Cc3nccc4ccccc34)n2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2ccnc(Nc3ccccc3)n2)sn1; [None]; [None]; [0]
-Clc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['CN(C)C=CC(=O)c1ccc(Cl)cc1']; ['N=C(N)Nc1ccccc1']; [0.999998927]
-Fc1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-OCCOc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(Nc3ccncn3)n2)cc1; []; []; []
-O=C(Nc1ccnc(Nc2ccccc2)n1)C1CC1; [None]; [None]; [0]
-Cc1cc(-c2ccnc(Nc3ccccc3)n2)nn1C; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['CN(C)C=CC(=O)c1ccc(C(F)(F)F)cc1']; ['N=C(N)Nc1ccccc1']; [0.999999404]
-CNS(=O)(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cccc(C4CCNCC4)c3)n2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccnc(Nc3ccccc3)n2)s1; [None]; [None]; [0]
-c1ccc(Nc2nccc(Cc3cccnc3)n2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-OC[C@@H](O)Cc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Brc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['CN(C)C=CC(=O)c1ccc(Br)cc1']; ['N=C(N)Nc1ccccc1']; [0.999999523]
-c1ccc(Nc2nccc(-c3cncnc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(Cc3ccncc3)n2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1ccnc(Nc2ccccc2)n1; ['COc1ccc(Cl)cc1-c1ccnc(Cl)n1']; ['Nc1ccccc1']; [0.999600589]
-COc1ccc(Cc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Clc1ncc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3c[nH]c4ccccc34)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ccc[nH]3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-n3ccnc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cn[nH]c3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(Cn3ccnc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cc4ccccc4cn3)n2)cc1; [None]; [None]; [0]
-COc1cc(-c2ccnc(Nc3ccccc3)n2)ccc1O; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ccc4c(c3)CCO4)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cccc4c3OCO4)n2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccnc(Nc3ccccc3)n2)c1; ['CC(=O)Nc1cccc(C(=O)C=CN(C)C)c1']; ['N=C(N)Nc1ccccc1']; [0.999998331]
-Fc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1F; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['CN(C)C=CC(=O)c1ccc(C(C)(C)C)cc1']; ['N=C(N)Nc1ccccc1']; [0.999999642]
-c1ccc(Nc2nccc(-c3scc4c3OCCO4)n2)cc1; [None]; [None]; [0]
-COCCOc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cnc4ccccc4c3)n2)cc1; [None]; [None]; [0]
-CC1(COc2ccnc(Nc3ccccc3)n2)COC1; [None]; [None]; [0]
-Cc1cc(-c2ccnc(Nc3ccccc3)n2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ccco3)n2)cc1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Brc1cnc(-c2ccnc(Nc3ccccc3)n2)nc1; [None]; [None]; [0]
-Fc1ccc(-c2ccnc(Nc3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
-COc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1OC; ['COc1ccc(C(=O)C=CN(C)C)cc1OC']; ['N=C(N)Nc1ccccc1']; [0.999999642]
-O[C@@H]1CC[C@H](c2ccnc(Nc3ccccc3)n2)C1; [None]; [None]; [0]
-COc1ccc(CNc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Clc1ccc(-c2ccnc(Nc3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
-CCc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccnc(Nc3ccccc3)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ccsc3)n2)cc1; ['Brc1ccccc1']; ['Nc1nccc(-c2ccsc2)n1']; [0.999871612]
-Cc1cc(C)cc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-Oc1ccc2cccc(-c3ccnc(Nc4ccccc4)n3)c2c1; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccnc(Nc4ccccc4)n3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2ccnc(Nc3ccccc3)n2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2ccnc(Nc3ccccc3)n2)ccc1Cl; [None]; [None]; [0]
-Cc1ccc(-c2ccnc(Nc3ccccc3)n2)o1; [None]; [None]; [0]
-Cc1nc(Nc2ccnc(Nc3ccccc3)n2)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2ccnc(Nc3ccccc3)n2)nn1C; [None]; [None]; [0]
-COc1cc(-c2ccnc(Nc3ccccc3)n2)c(OC)cc1Br; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ccc4cn[nH]c4c3)n2)cc1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-CC(C)Oc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cc4ccccc4o3)n2)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['FC(F)(F)Oc1ccc(-c2ccnc(Cl)n2)cc1']; ['Nc1ccccc1']; [0.999985218]
-CCn1cc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-COC(=O)Nc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cscn3)n2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccnc(Nc3ccccc3)n2)nc1C; [None]; [None]; [0]
-CCc1cccc(-c2ccnc(Nc3ccccc3)n2)n1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Fc1ccc(Nc2ccnc(Nc3ccccc3)n2)nc1; []; []; []
-OCCc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Oc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(Nc3ccccn3)n2)cc1; []; []; []
-CS(=O)(=O)c1ccc(Cl)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-Oc1cc(-c2ccnc(Nc3ccccc3)n2)ccc1Cl; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ccncc3)n2)cc1; ['CN(C)C=CC(=O)c1ccncc1', 'Brc1ccccc1', 'Ic1ccccc1']; ['N=C(N)Nc1ccccc1', 'Nc1nccc(-c2ccncc2)n1', 'Nc1nccc(-c2ccncc2)n1']; [0.999988794, 0.999988794, 0.999988794]
-c1ccc(Nc2nccc(-c3cccc4ncccc34)n2)cc1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3n[nH]c4ccccc34)n2)cc1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Fc1ccc(Oc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1ncc(-c2ccnc(Nc3ccccc3)n2)[nH]1; [None]; [None]; [0]
-Oc1ccc(-c2ccnc(Nc3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2ccnc(Nc3ccccc3)n2)n1; [None]; [None]; [0]
-Clc1ccccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2ccnc(Nc3ccccc3)n2)C1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cnccn3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cc[nH]c3)n2)cc1; [None]; [None]; [0]
-N#Cc1cnc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)o1; [None]; [None]; [0]
-COc1cc(CCc2ccnc(Nc3ccccc3)n2)ccc1O; [None]; [None]; [0]
-Brc1cccc(-c2ccnc(Nc3ccccc3)n2)c1; ['CN(C)C=CC(=O)c1cccc(Br)c1', 'Clc1nccc(-c2cccc(Br)c2)n1']; ['N=C(N)Nc1ccccc1', 'Nc1ccccc1']; [0.999999046, 0.999999046]
-c1ccc(Nc2nccc(-c3ccoc3)n2)cc1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
-Clc1cccc(OCc2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-OCCCc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cccs3)n2)cc1; ['Brc1ccccc1']; ['Nc1nccc(-c2cccs2)n1']; [0.999905229]
-Oc1ccc(-c2ccnc(Nc3ccccc3)n2)c(O)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ccncn3)n2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Clc1ccccc1OCc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1C; ['Cc1ccc(C(=O)C=CN(C)C)cc1C']; ['N=C(N)Nc1ccccc1']; [0.999999762]
-Cc1ccc(O)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-Oc1ncc(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccnc(Nc4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
-O=c1ccccn1Cc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3nc4ccccc4s3)n2)cc1; [None]; [None]; [0]
-Oc1cncc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
-O=C1Cc2cc(-c3ccnc(Nc4ccccc4)n3)ccc2N1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3nccs3)n2)cc1; ['CN(C)C=CC(=O)c1nccs1']; ['N=C(N)Nc1ccccc1']; [0.999940157]
-Oc1c(Cl)cc(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-CCc1sccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Nc1cc(-c2ccnc(Nc3ccccc3)n2)[nH]n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(Nc3ccncc3)n2)cc1; []; []; []
-c1ccc(Nc2nccc(-c3ccc4c(c3)CCN4)n2)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3ccnc(Nc4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccnc(Nc3ccccc3)n2)c(C)n1; [None]; [None]; [0]
-Cc1csc(-c2ccnc(Nc3ccccc3)n2)n1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccnc(Nc4ccccc4)n3)cc2o1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cnco3)n2)cc1; [None]; [None]; [0]
-c1ccc(COc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Oc1c(F)cc(-c2ccnc(Nc3ccccc3)n2)cc1F; [None]; [None]; [0]
-Fc1ccc(Oc2ccnc(Nc3ccccc3)n2)c(F)c1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3ccnc(Nc4ccccc4)n3)ccc12; [None]; [None]; [0]
-Fc1ccc(Cc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-CCOc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Fc1ccccc1Oc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Cc1n[nH]cc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-N#Cc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Cn1nncc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-COc1ncccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cn1cc([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-Cc1nn(C)cc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COc1cc([C@@H]2CCc3[nH]ncc3C2)cc(OC)c1OC; [None]; [None]; [0]
-Oc1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-COc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-c1cnn2c([C@@H]3CCc4[nH]ncc4C3)cnc2c1; [None]; [None]; [0]
-Cc1cc(N[C@@H]2CCc3[nH]ncc3C2)sn1; [None]; [None]; [0]
-NC(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-c1ccc2[nH]c([C@@H]3CCc4[nH]ncc4C3)nc2c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-c1ccc2c(C[C@@H]3CCc4[nH]ncc4C3)nccc2c1; [None]; [None]; [0]
-c1cnc(N[C@@H]2CCc3[nH]ncc3C2)nc1; [None]; [None]; [0]
-O=C(N[C@@H]1CCc2[nH]ncc2C1)C1CC1; [None]; [None]; [0]
-Clc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-c1cc(C2CCNCC2)cc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-Fc1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-c1cc(N[C@@H]2CCc3[nH]ncc3C2)ncn1; [None]; [None]; [0]
-OCCOc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Cc1cc([C@@H]2CCc3[nH]ncc3C2)nn1C; [None]; [None]; [0]
-CN(C)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Oc1ccccc1C[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-FC(F)(F)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-c1cc(C[C@@H]2CCc3[nH]ncc3C2)ccn1; [None]; [None]; [0]
-c1cncc(C[C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-Cc1nc(C)c([C@@H]2CCc3[nH]ncc3C2)s1; [None]; [None]; [0]
-Clc1ncc([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-OC[C@@H](O)C[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1cn([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-c1ncc([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-COc1ccc(C[C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Brc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-c1n[nH]cc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COc1ccc(Cl)cc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1ccc2c([C@@H]3CCc4[nH]ncc4C3)c[nH]c2c1; [None]; [None]; [0]
-c1cc2c(cc1[C@@H]1CCc3[nH]ncc3C1)CCO2; [None]; [None]; [0]
-c1c[nH]c([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-c1cn(C[C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-c1ccc2cc([C@@H]3CCc4[nH]ncc4C3)ncc2c1; [None]; [None]; [0]
-c1n[nH]c2c1C[C@H](c1scc3c1OCCO3)CC2; [None]; [None]; [0]
-COc1cc([C@@H]2CCc3[nH]ncc3C2)ccc1O; [None]; [None]; [0]
-c1cc2c(c([C@@H]3CCc4[nH]ncc4C3)c1)OCO2; [None]; [None]; [0]
-c1ccc2ncc([C@@H]3CCc4[nH]ncc4C3)cc2c1; [None]; [None]; [0]
-Fc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1F; [None]; [None]; [0]
-CC(C)(C)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-COCCO[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cc1cc([C@@H]2CCc3[nH]ncc3C2)nc(N)n1; [None]; [None]; [0]
-CC1(CO[C@@H]2CCc3[nH]ncc3C2)COC1; [None]; [None]; [0]
-c1coc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Fc1ccc([C@@H]2CCc3[nH]ncc3C2)c(Cl)c1; [None]; [None]; [0]
-CSc1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-CCc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-COc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1OC; [None]; [None]; [0]
-Brc1cnc([C@@H]2CCc3[nH]ncc3C2)nc1; [None]; [None]; [0]
-c1cc([C@@H]2CCc3[nH]ncc3C2)cs1; [None]; [None]; [0]
-Clc1ccc([C@@H]2CCc3[nH]ncc3C2)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(CN[C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Cc1cc(C)cc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-COc1ccc2cccc([C@@H]3CCc4[nH]ncc4C3)c2c1; [None]; [None]; [0]
-Cn1cc([C@@H]2CCc3[nH]ncc3C2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(F)c([C@@H]2CCc3[nH]ncc3C2)cc1OC; [None]; [None]; [0]
-COc1cc([C@@H]2CCc3[nH]ncc3C2)ccc1Cl; [None]; [None]; [0]
-Cc1cc(N[C@@H]2CCc3[nH]ncc3C2)nn1C; [None]; [None]; [0]
-Oc1ccc2cccc([C@@H]3CCc4[nH]ncc4C3)c2c1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CCc3[nH]ncc3C2)o1; [None]; [None]; [0]
-COc1cc(OC)cc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-Cc1nc(N[C@@H]2CCc3[nH]ncc3C2)sc1C; [None]; [None]; [0]
-c1cc2cn[nH]c2cc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COc1cc([C@@H]2CCc3[nH]ncc3C2)c(OC)cc1Br; [None]; [None]; [0]
-CCn1cc([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-COC(=O)N[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CC(C)O[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1ccc2oc([C@@H]3CCc4[nH]ncc4C3)cc2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CCc1cccc([C@@H]2CCc3[nH]ncc3C2)n1; [None]; [None]; [0]
-OCCc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CCc3[nH]ncc3C2)nc1C; [None]; [None]; [0]
-c1nc([C@@H]2CCc3[nH]ncc3C2)cs1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-O=C1CCCN1c1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-c1ccc(N[C@@H]2CCc3[nH]ncc3C2)nc1; [None]; [None]; [0]
-Fc1ccc(N[C@@H]2CCc3[nH]ncc3C2)nc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-CCOc1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CNC(=O)c1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Fc1cc(F)cc(C[C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-c1cc([C@@H]2CCc3[nH]ncc3C2)n[nH]1; [None]; [None]; [0]
-c1ccc2c([C@@H]3CCc4[nH]ncc4C3)ccnc2c1; [None]; [None]; [0]
-c1cncc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-Brc1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Fc1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Clc1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-N#Cc1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-NC(=O)c1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1ccc(Cn2cc([C@@H]3CCc4[nH]ncc4C3)cn2)cc1; [None]; [None]; [0]
-c1ccc(-c2ncc([C@@H]3CCc4[nH]ncc4C3)[nH]2)cc1; [None]; [None]; [0]
-c1cc([C@@H]2CCc3[nH]ncc3C2)ncn1; [None]; [None]; [0]
-Fc1cccc(F)c1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-OCCn1cc([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-N[C@@H](c1ccco1)[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CCc3[nH]ncc3C2)c(Br)c1; [None]; [None]; [0]
-O=C(Nc1cccc([C@@H]2CCc3[nH]ncc3C2)c1)c1ccccc1; [None]; [None]; [0]
-Cc1nc(N)sc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1cc2c(cc1[C@@H]1CCc3[nH]ncc3C1)CCC2; [None]; [None]; [0]
-c1ncc([C@@H]2CCc3[nH]ncc3C2)o1; [None]; [None]; [0]
-c1ccn2c([C@@H]3CCc4[nH]ncc4C3)cnc2c1; [None]; [None]; [0]
-c1n[nH]c2c1C[C@H](OC1CCCCC1)CC2; [None]; [None]; [0]
-CC(C)(C)N[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Clc1cccc(Cl)c1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1cncc(CN[C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-Cc1ccc(Cl)c([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-Clc1cccc([C@@H]2CCc3[nH]ncc3C2)c1Cl; [None]; [None]; [0]
-COc1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-Nc1nccc([C@@H]2CCc3[nH]ncc3C2)n1; [None]; [None]; [0]
-Cc1ncc([C@@H]2CCc3[nH]ncc3C2)[nH]1; [None]; [None]; [0]
-c1cncc(N[C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-Clc1ccc([C@@H]2CCc3[nH]ncc3C2)s1; [None]; [None]; [0]
-c1ccc2cc([C@@H]3CCc4[nH]ncc4C3)ccc2c1; [None]; [None]; [0]
-c1ccc2c(c1)ncn2[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CC(C)CO[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-C[C@H](CO)N[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-O=C(N[C@@H]1CCc2[nH]ncc2C1)c1cccs1; [None]; [None]; [0]
-c1ccc2c([C@@H]3CCc4[nH]ncc4C3)cncc2c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)O[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1cc(N[C@@H]2CCc3[nH]ncc3C2)ccn1; [None]; [None]; [0]
-OCc1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-Cn1cncc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CC(C)N[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-N#CCCc1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-c1csc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-CCC(=O)N[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Fc1ccc([C@@H]2CCc3[nH]ncc3C2)c(C(F)(F)F)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Cc1cc([C@@H]2CCc3[nH]ncc3C2)no1; [None]; [None]; [0]
-COc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1Cl; [None]; [None]; [0]
-c1nocc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-O=C1CCc2cccc([C@@H]3CCc4[nH]ncc4C3)c21; [None]; [None]; [0]
-CCCn1cc([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-CC(C)(N)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CCN(CC)[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CCOC(=O)C[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COc1ccncc1N[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1ccc2ncc(N[C@@H]3CCc4[nH]ncc4C3)cc2c1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc([C@@H]3CCc4[nH]ncc4C3)cc12; [None]; [None]; [0]
-c1ccc2c(c1)cnn2[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-c1cc2c([C@@H]3CCc4[nH]ncc4C3)c[nH]c2cn1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Oc1ccc2nc([C@@H]3CCc4[nH]ncc4C3)[nH]c2c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1n[nH]c2c1C[C@H](OC1CCOCC1)CC2; [None]; [None]; [0]
-Oc1ncccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COc1ccc([C@@H]2CCc3[nH]ncc3C2)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Cc1cncc([C@@H]2CCc3[nH]ncc3C2)n1; [None]; [None]; [0]
-Nc1nnc([C@@H]2CCc3[nH]ncc3C2)s1; [None]; [None]; [0]
-Nc1ncc([C@@H]2CCc3[nH]ncc3C2)s1; [None]; [None]; [0]
-c1cc([C@@H]2CCc3[nH]ncc3C2)c2sccc2c1; [None]; [None]; [0]
-COc1cccc(F)c1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1ccc2sc([C@@H]3CCc4[nH]ncc4C3)nc2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Nc1nc([C@@H]2CCc3[nH]ncc3C2)nc2ccccc12; [None]; [None]; [0]
-c1cnc2c([C@@H]3CCc4[nH]ncc4C3)c[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)O[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COc1ccc(OC)c([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-CC(C)(C)CN[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-C(=Cc1ccccn1)c1ccc2ncccc2c1; ['Cc1ccccn1']; ['O=Cc1ccc2ncccc2c1']; [0.999914527]
-N#Cc1ccc(-c2nc3ccccc3[nH]2)cc1; ['N#Cc1ccc(C=O)cc1']; ['Nc1ccccc1N']; [0.994224131]
-C1=C(c2c[nH]c3ccccc23)CCN([C@@H]2CCc3[nH]ncc3C2)C1; [None]; [None]; [0]
-COc1ncccc1-c1nc2ccccc2[nH]1; ['COc1ncccc1C(=O)O']; ['Nc1ccccc1N']; [0.998767257]
-CCOc1ccc(-c2nc3ccccc3[nH]2)cc1; ['CCOc1ccc(CN)cc1', 'CCOc1ccc(C=O)cc1', 'CCOc1ccc(C=O)cc1', 'CCOc1ccc(C(=O)Cl)cc1']; ['Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.99694, 0.99694, 0.99694, 0.99694]
-Cc1n[nH]cc1-c1nc2ccccc2[nH]1; ['Cc1n[nH]cc1C=O']; ['Nc1ccccc1N']; [0.977543175]
-COc1cc(-c2nc3ccccc3[nH]2)cc(OC)c1OC; ['COc1cc(CN)cc(OC)c1OC', 'COc1cc(C(=O)Cl)cc(OC)c1OC']; ['Nc1ccccc1N', 'Nc1ccccc1N']; [0.99958986, 0.99958986]
-CS(=O)(=O)c1cccc(-c2nc3ccccc3[nH]2)c1; ['CS(=O)(=O)c1cccc(C(=O)O)c1']; ['Nc1ccccc1N']; [0.999552429]
-Cn1cc(-c2nc3ccccc3[nH]2)cn1; ['Brc1nc2ccccc2[nH]1', 'Cn1cc(C=O)cn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Nc1ccccc1N']; [0.999818861, 0.999818861]
-Oc1cccc(-c2nc3ccccc3[nH]2)c1; ['Nc1ccccc1[N+](=O)[O-]']; ['O=Cc1cccc(O)c1']; [0.947537124]
-Cn1nncc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1nc2ccccc2[nH]1; ['Cc1nn(C)cc1C=O']; ['Nc1ccccc1N']; [0.999893904]
-c1ccc2[nH]c(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
-COc1ccc(-c2nc3ccccc3[nH]2)cc1; ['COc1ccc(CO)cc1', 'COc1ccc(C(=O)Cl)cc1']; ['Nc1ccccc1N', 'Nc1ccccc1N']; [0.999160171, 0.999160171]
-Cc1cc(Nc2nc3ccccc3[nH]2)sn1; ['Cc1cc(N)sn1']; ['Clc1nc2ccccc2[nH]1']; [0.965056419]
-NC(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; []; []; []
-Fc1cccc(-c2nc3ccccc3[nH]2)c1; ['N#Cc1cccc(F)c1']; ['Nc1ccccc1N']; [0.999658585]
-c1ccc2c(Cc3nc4ccccc4[nH]3)nccc2c1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3nc4ccccc4[nH]3)nc2c1; [None]; [None]; [0]
-OCCOc1ccc(-c2nc3ccccc3[nH]2)cc1; ['OCCCl', 'Nc1ccccc1N']; ['Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'O=Cc1ccc(OCCO)cc1']; [0.992389619, 0.992389619]
-Clc1ccc(-c2nc3ccccc3[nH]2)cc1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['OCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1']; [0.999650121, 0.999650121]
-O=C(Nc1ccccc1)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['Nc1ccccc1']; ['O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.999950528]
-O=C(Nc1nc2ccccc2[nH]1)C1CC1; ['Nc1nc2ccccc2[nH]1']; ['O=C(Cl)C1CC1']; [0.999406695]
-Cc1cc(-c2nc3ccccc3[nH]2)nn1C; ['Cc1cc(C=O)nn1C', 'Cc1cc(C(=O)O)nn1C']; ['Nc1ccccc1N', 'Nc1ccccc1N']; [0.999441683, 0.999441683]
-FC(F)(F)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['NCc1ccc(C(F)(F)F)cc1', 'Nc1ccccc1[N+](=O)[O-]']; ['Nc1ccccc1N', 'O=Cc1ccc(C(F)(F)F)cc1']; [0.999756515, 0.999756515]
-C[C@H](O)COc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CN(C)c1ccc(C(=O)O)cc1', 'CN(C)c1ccc(CO)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(C(=O)Cl)cc1', 'CN(C)c1ccc(C=O)cc1']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; [0.999891162, 0.999891162, 0.999891162, 0.999891162, 0.999891162]
-c1cc(-c2nc3ccccc3[nH]2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2nc3ccccc3[nH]2)s1; ['Cc1nc(C)c(C=O)s1']; ['Nc1ccccc1N']; [0.993499517]
-CNS(=O)(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CNS(=O)(=O)c1ccc(C(=O)O)cc1']; ['Nc1ccccc1N']; [0.99789834]
-c1ccc2[nH]c(Cc3ccncc3)nc2c1; ['Nc1ccccc1N', 'CCOC(=O)Cc1ccncc1']; ['O=C(O)Cc1ccncc1', 'Nc1ccccc1N']; [0.999873519, 0.999873519]
-Oc1ccccc1Cc1nc2ccccc2[nH]1; ['Nc1ccccc1N']; ['O=C(O)Cc1ccccc1O']; [0.998581886]
-Clc1ncc(-c2nc3ccccc3[nH]2)cn1; ['Nc1ccccc1N']; ['O=Cc1cnc(Cl)nc1']; [0.958959103]
-c1cncc(Cc2nc3ccccc3[nH]2)c1; ['COC(=O)Cc1cccnc1']; ['Nc1ccccc1N']; [0.998441875]
-OC[C@@H](O)Cc1nc2ccccc2[nH]1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3cncnc3)nc2c1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['O=Cc1cncnc1', 'O=C(O)c1cncnc1']; [0.997079, 0.997079]
-COc1ccc(Cc2nc3ccccc3[nH]2)cc1; ['CCOC(=N)Cc1ccc(OC)cc1', 'COc1ccc(CC(=O)O)cc1']; ['Nc1ccccc1N', 'Nc1ccccc1N']; [0.999923587, 0.999923587]
-c1ccc2[nH]c(-n3ccnc3)nc2c1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3cn[nH]c3)nc2c1; ['Nc1ccccc1N']; ['O=Cc1cn[nH]c1']; [0.997136235]
-Brc1ccc(-c2nc3ccccc3[nH]2)cc1; ['BrCc1ccc(Br)cc1', 'Nc1ccccc1N']; ['Nc1ccccc1N', 'O=C(Cl)c1ccc(Br)cc1']; [0.997317731, 0.997317731]
-c1ccc2[nH]c(-c3c[nH]c4ccccc34)nc2c1; ['Nc1ccccc1N']; ['OCc1c[nH]c2ccccc12']; [0.999870062]
-COc1ccc(Cl)cc1-c1nc2ccccc2[nH]1; ['COc1ccc(Cl)cc1C(=O)O', 'COc1ccc(Cl)cc1C(=O)Cl']; ['Nc1ccccc1N', 'Nc1ccccc1N']; [0.998035848, 0.998035848]
-c1c[nH]c(-c2nc3ccccc3[nH]2)c1; ['Nc1ccccc1N']; ['O=C(O)c1ccc[nH]1']; [0.996903241]
-c1ccc2[nH]c(Cn3ccnc3)nc2c1; ['Nc1ccccc1N', 'BrCc1nc2ccccc2[nH]1']; ['O=C(O)Cn1ccnc1', 'c1c[nH]cn1']; [0.987167954, 0.987167954]
-c1ccc2[nH]c(-c3ccc4c(c3)CCO4)nc2c1; ['Nc1ccccc1N']; ['O=Cc1ccc2c(c1)CCO2']; [0.996161819]
-COc1cc(-c2nc3ccccc3[nH]2)ccc1O; ['COc1cc(C=O)ccc1O']; ['Nc1ccccc1N']; [0.921042144]
-CC(=O)Nc1cccc(-c2nc3ccccc3[nH]2)c1; ['CC(=O)OC(C)=O', 'CC(=O)Cl', 'CC(=O)O']; ['Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1']; [0.999888659, 0.999888659, 0.999888659]
-c1ccc2cc(-c3nc4ccccc4[nH]3)ncc2c1; ['Cc1cc2ccccc2cn1']; ['Nc1ccccc1N']; [0.997081816]
-Fc1ccc(-c2nc3ccccc3[nH]2)cc1F; ['Fc1ccc(CBr)cc1F']; ['Nc1ccccc1N']; [0.994766951]
-c1cc2c(c(-c3nc4ccccc4[nH]3)c1)OCO2; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; ['OCc1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2']; [0.999834657, 0.999834657, 0.999834657]
-CC(C)(C)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CC(C)(C)c1ccc(C=O)cc1']; ['Nc1ccccc1[N+](=O)[O-]']; [0.998891056]
-c1ccc2[nH]c(-c3scc4c3OCCO4)nc2c1; [None]; [None]; [0]
-c1ccc2ncc(-c3nc4ccccc4[nH]3)cc2c1; ['Nc1ccccc1N']; ['O=Cc1cnc2ccccc2c1']; [0.999551594]
-c1coc(-c2nc3ccccc3[nH]2)c1; ['Nc1ccccc1N']; ['O=Cc1ccco1']; [0.990305066]
-COCCOc1nc2ccccc2[nH]1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2nc3ccccc3[nH]2)CC1; ['Nc1ccccc1N', 'CCOC(=O)[C@H]1CC[C@H](O)CC1']; ['O=C(O)[C@H]1CC[C@H](O)CC1', 'Nc1ccccc1N']; [0.99484235, 0.99484235]
-Cc1cc(-c2nc3ccccc3[nH]2)nc(N)n1; ['Cc1cc(C)nc(N)n1']; ['Nc1ccccc1N']; [0.99068588]
-CC1(COc2nc3ccccc3[nH]2)COC1; [None]; [None]; [0]
-CSc1cccc(-c2nc3ccccc3[nH]2)c1; ['CSc1cccc(C=O)c1']; ['Nc1ccccc1N']; [0.998944342]
-Fc1ccc(-c2nc3ccccc3[nH]2)c(Cl)c1; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N']; ['O=Cc1ccc(F)cc1Cl', 'O=C(O)c1ccc(F)cc1Cl', 'O=C(Cl)c1ccc(F)cc1Cl']; [0.999877691, 0.999877691, 0.999877691]
-OC[C@H](Cc1ccccc1)c1nc2ccccc2[nH]1; [None]; [None]; [0]
-COc1ccc(-c2nc3ccccc3[nH]2)cc1OC; ['COc1ccc(C(=O)O)cc1OC']; ['Nc1ccccc1N']; [0.989826679]
-O[C@@H]1CC[C@H](c2nc3ccccc3[nH]2)C1; [None]; [None]; [0]
-Clc1ccc(-c2nc3ccccc3[nH]2)c(Cl)c1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['OCc1ccc(Cl)cc1Cl', 'O=Cc1ccc(Cl)cc1Cl']; [0.999753773, 0.999753773]
-CCc1ccc(-c2nc3ccccc3[nH]2)cc1; ['CCc1ccc(C=O)cc1', 'CCc1ccc(C(=O)Cl)cc1']; ['Nc1ccccc1N', 'Nc1ccccc1N']; [0.990055919, 0.990055919]
-c1ccc2[nH]c(-c3ccsc3)nc2c1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['OCc1ccsc1', 'O=C(O)c1ccsc1']; [0.99967134, 0.99967134]
-Brc1cnc(-c2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2nc3ccccc3[nH]2)c1; ['Cc1cc(C)cc(CO)c1', 'Cc1cc(C)cc(C=O)c1']; ['Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; [0.993348181, 0.993348181]
-COc1ccc(CNc2nc3ccccc3[nH]2)cc1; ['COc1ccc(CN)cc1']; ['CSc1nc2ccccc2[nH]1']; [0.995247185]
-COc1cc(F)c(-c2nc3ccccc3[nH]2)cc1OC; ['COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C=O)cc1OC']; ['Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; [0.998895288, 0.998895288]
-COc1ccc2cccc(-c3nc4ccccc4[nH]3)c2c1; [None]; [None]; [0]
-COc1cc(-c2nc3ccccc3[nH]2)ccc1Cl; ['COc1cc(C(=O)O)ccc1Cl']; ['Nc1ccccc1N']; [0.983347714]
-Cc1cc(Nc2nc3ccccc3[nH]2)nn1C; ['Cc1cc(N)nn1C']; ['Clc1nc2ccccc2[nH]1']; [0.996967256]
-Cn1cc(-c2nc3ccccc3[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(-c2nc3ccccc3[nH]2)c(OC)cc1Br; ['COc1cc(C=O)c(OC)cc1Br']; ['Nc1ccccc1N']; [0.99185127]
-c1ccc2[nH]c(-c3ccc4cn[nH]c4c3)nc2c1; ['Nc1ccccc1N']; ['O=Cc1ccc2cn[nH]c2c1']; [0.983505309]
-Oc1ccc2cccc(-c3nc4ccccc4[nH]3)c2c1; [None]; [None]; [0]
-CC(C)Oc1nc2ccccc2[nH]1; [None]; [None]; [0]
-c1ccc2oc(-c3nc4ccccc4[nH]3)cc2c1; ['Nc1ccccc1N']; ['O=Cc1cc2ccccc2o1']; [0.994174659]
-Cc1nc(Nc2nc3ccccc3[nH]2)sc1C; ['Cc1nc(Br)sc1C']; ['Nc1nc2ccccc2[nH]1']; [0.998629451]
-CNC(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CN']; ['O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.997857392]
-COc1cc(OC)cc(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3cscn3)nc2c1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['O=C(O)c1cscn1', 'O=Cc1cscn1']; [0.999188602, 0.999188602]
-FC(F)(F)Oc1ccc(-c2nc3ccccc3[nH]2)cc1; ['Nc1ccccc1N']; ['O=Cc1ccc(OC(F)(F)F)cc1']; [0.999357283]
-CCn1cc(-c2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
-COC(=O)Nc1nc2ccccc2[nH]1; []; []; []
-O=C1CCCN1c1cccc(-c2nc3ccccc3[nH]2)c1; ['Nc1ccccc1N']; ['O=C(O)c1cccc(N2CCCC2=O)c1']; [0.999411464]
-CCc1cccc(-c2nc3ccccc3[nH]2)n1; ['CCc1cccc(C)n1']; ['Nc1ccccc1N']; [0.986113608]
-Fc1ccc(Nc2nc3ccccc3[nH]2)nc1; ['Clc1nc2ccccc2[nH]1', 'Fc1ccc(Cl)nc1']; ['Nc1ccc(F)cn1', 'Nc1nc2ccccc2[nH]1']; [0.975841, 0.975841]
-Cc1ccc(-c2nc3ccccc3[nH]2)nc1C; [None]; [None]; [0]
-OCCc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-c1ccc(Nc2nc3ccccc3[nH]2)nc1; ['Clc1nc2ccccc2[nH]1']; ['Nc1ccccn1']; [0.997254312]
-O=C1Nc2ccccc2C1=Cc1ccccn1; ['O=C1Cc2ccccc2N1']; ['O=Cc1ccccn1']; [0.999854565]
-CS(=O)(=O)c1ccc(Cl)c(-c2nc3ccccc3[nH]2)c1; ['CS(=O)(=O)c1ccc(Cl)c(C(=O)O)c1']; ['Nc1ccccc1N']; [0.994585872]
-COc1ccc(C=C2C(=O)Nc3ccccc32)cc1OC; [None]; [None]; [0]
-O=C1Nc2ccccc2C1=Cc1cccs1; ['O=C1Cc2ccccc2N1']; ['O=Cc1cccs1']; [0.999997854]
-O=C1Nc2ccccc2C1=Cc1ccc[nH]1; ['O=C1Cc2ccccc2N1']; ['O=Cc1ccc[nH]1']; [0.999999762]
-N#Cc1ccc(-c2nc3ccccc3s2)cc1; ['N#Cc1ccc(C(=O)Cl)cc1', 'N#Cc1ccc(CO)cc1', 'N#Cc1ccc(C=O)cc1']; ['Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1']; [0.999623656, 0.999623656, 0.999623656]
-O=C1Nc2ccccc2C1=C1C(=O)Nc2ccccc21; ['O=C1Cc2ccccc2N1']; ['O=C1Nc2ccccc2C1=O']; [0.840034842]
-CNC(=O)C=C1C(=O)Nc2ccccc21; [None]; [None]; [0]
-COc1ncccc1-c1nc2ccccc2s1; ['Brc1nc2ccccc2s1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1']; [0.999991536]
-CCOc1ccc(-c2nc3ccccc3s2)cc1; ['CCOc1ccc(C=O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(C(=O)Cl)cc1']; ['O=[N+]([O-])c1ccccc1I', 'c1ccc2scnc2c1', 'Nc1ccccc1S']; [0.99995935, 0.99995935, 0.99995935]
-COc1cc(-c2nc3ccccc3s2)cc(OC)c1OC; ['COc1cc(I)cc(OC)c1OC']; ['c1ccc2scnc2c1']; [0.99958688]
-Cn1nncc1-c1nc2ccccc2s1; ['Brc1nc2ccccc2s1']; ['Cn1ccnn1']; [0.997150123]
-Cc1n[nH]cc1-c1nc2ccccc2s1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2nc3ccccc3s2)c1; ['Brc1nc2ccccc2s1']; ['CS(=O)(=O)c1cccc(B(O)O)c1']; [0.999492645]
-Cc1nn(C)cc1-c1nc2ccccc2s1; [None]; [None]; [0]
-c1ccc2sc(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
-Cn1cc(-c2nc3ccccc3s2)cn1; ['Cn1cc(I)cn1']; ['c1ccc2scnc2c1']; [0.999488592]
-COc1ccc(-c2nc3ccccc3s2)cc1; ['COc1ccc(C=O)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(CN)cc1']; ['O=[N+]([O-])c1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S']; [0.999992967, 0.999992967, 0.999992967]
-c1ccc2[nH]c(-c3nc4ccccc4s3)nc2c1; [None]; [None]; [0]
-Oc1cccc(-c2nc3ccccc3s2)c1; ['Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N', 'Oc1cccc(I)c1', 'O=Cc1cccc(O)c1']; ['O=C(O)c1cccc(O)c1', 'O=Cc1cccc(O)c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.999976039, 0.999976039, 0.999976039, 0.999976039]
-NC(=O)c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2nc3ccccc3s2)sn1; ['Cc1cc(N)sn1']; ['Clc1nc2ccccc2s1']; [0.996396244]
-Fc1cccc(-c2nc3ccccc3s2)c1; ['Nc1ccccc1S', 'Nc1ccccc1I', 'Nc1ccccc1S']; ['OCc1cccc(F)c1', 'O=Cc1cccc(F)c1', 'O=C(O)c1cccc(F)c1']; [0.999982834, 0.999982834, 0.999982834]
-O=C(Nc1ccccc1)c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-O=C(Nc1nc2ccccc2s1)C1CC1; ['Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; ['O=C(Cl)C1CC1', 'O=C(O)C1CC1']; [0.999647498, 0.999647498]
-OCCOc1ccc(-c2nc3ccccc3s2)cc1; ['Nc1ccccc1S']; ['O=Cc1ccc(OCCO)cc1']; [0.998151]
-c1ccc2c(Cc3nc4ccccc4s3)nccc2c1; [None]; [None]; [0]
-c1cc(-c2nc3ccccc3s2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-Clc1ccc(-c2nc3ccccc3s2)cc1; ['Nc1ccccc1S', 'NCc1ccc(Cl)cc1']; ['O=Cc1ccc(Cl)cc1', 'Nc1ccccc1S']; [0.999307036, 0.999307036]
-C[C@H](O)COc1ccc(-c2nc3ccccc3s2)cc1; ['Brc1ccc(-c2nc3ccccc3s2)cc1']; ['C[C@H](O)CO']; [0.998897791]
-CNS(=O)(=O)c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3ccccc3s2)cc1; ['CN(C)c1ccc(C(=O)O)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(C(=O)Cl)cc1', 'CN(C)c1ccc(C=O)cc1']; ['Nc1ccccc1S', 'Nc1ccccc1I', 'Nc1ccccc1S', 'c1ccc2scnc2c1']; [0.999965906, 0.999965906, 0.999965906, 0.999965906]
-Cc1cc(-c2nc3ccccc3s2)nn1C; [None]; [None]; [0]
-Oc1ccccc1Cc1nc2ccccc2s1; ['Nc1ccccc1S']; ['O=C(O)Cc1ccccc1O']; [0.998855591]
-FC(F)(F)c1ccc(-c2nc3ccccc3s2)cc1; ['O=Cc1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'O=Cc1ccc(C(F)(F)F)cc1']; ['O=[N+]([O-])c1ccccc1I', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.99999845, 0.99999845, 0.99999845]
-c1ccc2sc(Cc3ccncc3)nc2c1; ['N#CCc1ccncc1']; ['Nc1ccccc1S']; [0.991772]
-Clc1ncc(-c2nc3ccccc3s2)cn1; ['Brc1nc2ccccc2s1']; ['OB(O)c1cnc(Cl)nc1']; [0.99763155]
-c1cncc(Cc2nc3ccccc3s2)c1; ['Nc1ccccc1S', 'N#CCc1cccnc1']; ['O=C(O)Cc1cccnc1', 'Nc1ccccc1S']; [0.998805642, 0.998805642]
-Cc1nc(C)c(-c2nc3ccccc3s2)s1; ['Cc1nc(C)c(C=O)s1']; ['Nc1ccccc1S']; [0.993085146]
-c1ccc2sc(-c3cncnc3)nc2c1; ['Brc1cncnc1']; ['Brc1nc2ccccc2s1']; [0.995674551]
-COc1ccc(Cc2nc3ccccc3s2)cc1; ['COc1ccc(CC(=O)Cl)cc1']; ['Nc1ccccc1S']; [0.999759138]
-OC[C@@H](O)Cc1nc2ccccc2s1; [None]; [None]; [0]
-c1ccc2sc(-n3ccnc3)nc2c1; [None]; [None]; [0]
-Brc1ccc(-c2nc3ccccc3s2)cc1; ['O=Cc1ccc(Br)cc1', 'N#Cc1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; ['O=[N+]([O-])c1ccccc1I', 'Nc1ccccc1S', 'c1ccc2scnc2c1']; [0.999945402, 0.999945402, 0.999945402]
-c1c[nH]c(-c2nc3ccccc3s2)c1; ['Nc1ccccc1S']; ['O=C(O)c1ccc[nH]1']; [0.997551501]
-c1ccc2sc(-c3c[nH]c4ccccc34)nc2c1; ['Nc1ccccc1S']; ['O=C(O)c1c[nH]c2ccccc12']; [0.999999166]
-c1ccc2sc(Cn3ccnc3)nc2c1; ['BrCc1nc2ccccc2s1']; ['c1c[nH]cn1']; [0.999314308]
-COc1ccc(Cl)cc1-c1nc2ccccc2s1; ['COc1ccc(Cl)cc1C(=O)O', 'COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1C(=O)Cl', 'COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I']; ['Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.999996901, 0.999996901, 0.999996901, 0.999996901, 0.999996901, 0.999996901]
-c1ccc2sc(-c3ccc4c(c3)CCO4)nc2c1; ['Brc1nc2ccccc2s1', 'Nc1ccccc1S', 'Nc1ccccc1S']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'O=Cc1ccc2c(c1)CCO2', 'O=C(O)c1ccc2c(c1)CCO2']; [0.999994397, 0.999994397, 0.999994397]
-COc1cc(-c2nc3ccccc3s2)ccc1O; ['COc1cc(C=O)ccc1O', 'COc1cc(C=O)ccc1O']; ['Nc1ccccc1I', 'Nc1ccccc1SSc1ccccc1N']; [0.999888659, 0.999888659]
-c1ccc2cc(-c3nc4ccccc4s3)ncc2c1; ['Cc1cc2ccccc2cn1']; ['Nc1ccccc1']; [0.999063432]
-Fc1ccc(-c2nc3ccccc3s2)cc1F; ['Nc1ccccc1S', 'Fc1ccc(CCl)cc1F', 'O=Cc1ccc(F)c(F)c1']; ['O=Cc1ccc(F)c(F)c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1']; [0.999705613, 0.999705613, 0.999705613]
-CC(=O)Nc1cccc(-c2nc3ccccc3s2)c1; ['Brc1nc2ccccc2s1', 'CC(=O)Nc1cccc(C(=O)O)c1', 'CC(=O)Cl', 'CC(=O)Nc1cccc(Br)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Nc1ccccc1S', 'Nc1cccc(-c2nc3ccccc3s2)c1', 'c1ccc2scnc2c1']; [0.999999046, 0.999999046, 0.999999046, 0.999999046]
-c1cc2c(c(-c3nc4ccccc4s3)c1)OCO2; ['Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N']; ['O=Cc1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2']; [0.998787701, 0.998787701]
-CC(C)(C)c1ccc(-c2nc3ccccc3s2)cc1; ['CC(C)(C)c1ccc(CO)cc1', 'CC(C)(C)c1ccc(C#N)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1']; [0.999576747, 0.999576747, 0.999576747]
-COCCOc1nc2ccccc2s1; ['COCCCl']; ['Oc1nc2ccccc2s1']; [0.920557618]
-CC1(COc2nc3ccccc3s2)COC1; ['Brc1nc2ccccc2s1']; ['CC1(CO)COC1']; [0.996434689]
-c1ccc2sc(-c3scc4c3OCCO4)nc2c1; [None]; [None]; [0]
-CSc1cccc(-c2nc3ccccc3s2)c1; ['CSc1cccc(C=O)c1']; ['Nc1ccccc1I']; [0.999751389]
-c1ccc2ncc(-c3nc4ccccc4s3)cc2c1; ['Brc1nc2ccccc2s1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C']; [0.999998569]
-Cc1cc(-c2nc3ccccc3s2)nc(N)n1; [None]; [None]; [0]
-c1coc(-c2nc3ccccc3s2)c1; ['Nc1ccccc1S']; ['O=C(Cl)c1ccco1']; [0.999251544]
-Fc1ccc(-c2nc3ccccc3s2)c(Cl)c1; ['Brc1nc2ccccc2s1', 'Fc1ccc(Br)c(Cl)c1', 'Nc1ccccc1S']; ['OB(O)c1ccc(F)cc1Cl', 'c1ccc2scnc2c1', 'O=C(Cl)c1ccc(F)cc1Cl']; [0.999984264, 0.999984264, 0.999984264]
-OC[C@H](Cc1ccccc1)c1nc2ccccc2s1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2nc3ccccc3s2)CC1; [None]; [None]; [0]
-COc1ccc(-c2nc3ccccc3s2)cc1OC; ['COc1ccc(C(=O)O)cc1OC', 'COc1ccc(C=O)cc1OC']; ['Nc1ccccc1S', 'c1ccc2scnc2c1']; [0.999984, 0.999984]
-Brc1cnc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2nc3ccccc3s2)C1; [None]; [None]; [0]
-COc1ccc(CNc2nc3ccccc3s2)cc1; ['COc1ccc(CN)cc1', 'Brc1nc2ccccc2s1']; ['Clc1nc2ccccc2s1', 'COc1ccc(CN)cc1']; [0.999596655, 0.999596655]
-Clc1ccc(-c2nc3ccccc3s2)c(Cl)c1; ['O=C(O)Cc1ccc(Cl)cc1Cl', 'Nc1ccccc1S', 'O=C(O)c1ccc(Cl)cc1Cl']; ['O=[N+]([O-])c1ccccc1Cl', 'O=C(Cl)c1ccc(Cl)cc1Cl', 'c1ccc2scnc2c1']; [0.999961853, 0.999961853, 0.999961853]
-CCc1ccc(-c2nc3ccccc3s2)cc1; ['CCc1ccc(C=O)cc1', 'CCc1ccc(C(=O)Cl)cc1']; ['Nc1ccccc1I', 'Nc1ccccc1S']; [0.999721825, 0.999721825]
-Cn1cc(-c2nc3ccccc3s2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2nc3ccccc3s2)c1; ['Cc1cc(C)cc(C=O)c1', 'Cc1cc(C)cc(C(=O)Cl)c1', 'Cc1cc(C)cc(C=O)c1', 'Cc1cc(C)cc(C=O)c1']; ['Nc1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N', 'c1ccc2scnc2c1']; [0.999908566, 0.999908566, 0.999908566, 0.999908566]
-COc1cc(F)c(-c2nc3ccccc3s2)cc1OC; ['COc1cc(F)c(C=O)cc1OC']; ['Nc1ccccc1S']; [0.999964833]
-c1ccc2sc(-c3ccsc3)nc2c1; ['Brc1nc2ccccc2s1']; ['OB(O)c1ccsc1']; [0.999979615]
-Oc1ccc2cccc(-c3nc4ccccc4s3)c2c1; [None]; [None]; [0]
-Cc1nc(Nc2nc3ccccc3s2)sc1C; ['Cc1nc(N)sc1C']; ['Clc1nc2ccccc2s1']; [0.998740733]
-COc1ccc2cccc(-c3nc4ccccc4s3)c2c1; [None]; [None]; [0]
-COc1cc(-c2nc3ccccc3s2)ccc1Cl; ['COc1cc(C=O)ccc1Cl', 'COc1cc(C=O)ccc1Cl']; ['Nc1ccccc1S', 'c1ccc2scnc2c1']; [0.999974966, 0.999974966]
-Cc1cc(Nc2nc3ccccc3s2)nn1C; ['Cc1cc(N)nn1C']; ['Clc1nc2ccccc2s1']; [0.99964726]
-COc1cc(-c2nc3ccccc3s2)c(OC)cc1Br; ['COc1cc(C=O)c(OC)cc1Br']; ['Nc1ccccc1S']; [0.999931931]
-COc1cc(OC)cc(-c2nc3ccccc3s2)c1; ['COc1cc(C=O)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(CN)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1']; ['Nc1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N', 'c1ccc2scnc2c1']; [0.999835849, 0.999835849, 0.999835849, 0.999835849, 0.999835849]
-Cc1ccc(-c2nc3ccccc3s2)o1; [None]; [None]; [0]
-c1ccc2sc(-c3ccc4cn[nH]c4c3)nc2c1; ['Ic1ccc2cn[nH]c2c1']; ['c1ccc2scnc2c1']; [0.999900818]
-CC(C)Oc1nc2ccccc2s1; ['CC(C)O']; ['Clc1nc2ccccc2s1']; [0.998771966]
-CCn1cc(-c2nc3ccccc3s2)cn1; [None]; [None]; [0]
-c1ccc2oc(-c3nc4ccccc4s3)cc2c1; ['Nc1ccccc1S']; ['O=Cc1cc2ccccc2o1']; [0.999448121]
-COC(=O)Nc1nc2ccccc2s1; ['COC(=O)Cl']; ['Nc1nc2ccccc2s1']; [0.995021224]
-FC(F)(F)Oc1ccc(-c2nc3ccccc3s2)cc1; ['Nc1ccccc1S', 'NCc1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1']; ['O=C(Cl)c1ccc(OC(F)(F)F)cc1', 'Nc1ccccc1S', 'c1ccc2scnc2c1']; [0.999987602, 0.999987602, 0.999987602]
-CCc1cccc(-c2nc3ccccc3s2)n1; ['CCc1cccc(C)n1']; ['c1ccc2scnc2c1']; [0.996412933]
-CNC(=O)c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2nc3ccccc3s2)nc1C; ['Cc1ccc[n+]([O-])c1C']; ['c1ccc2scnc2c1']; [0.990609944]
-c1ccc2sc(-c3cscn3)nc2c1; ['Nc1ccccc1S', 'Brc1cscn1']; ['O=Cc1cscn1', 'c1ccc2scnc2c1']; [0.993824601, 0.993824601]
-OCCc1ccc(-c2nc3ccccc3s2)cc1; ['OCCc1ccc(Br)cc1']; ['c1ccc2scnc2c1']; [0.990873694]
-O=C1CCCN1c1cccc(-c2nc3ccccc3s2)c1; ['Nc1cccc(-c2nc3ccccc3s2)c1']; ['O=C(Cl)CCCCl']; [0.999611318]
-Fc1ccc(Nc2nc3ccccc3s2)nc1; ['Fc1ccc(Cl)nc1']; ['Nc1nc2ccccc2s1']; [0.999905109]
-c1ccc(Nc2nc3ccccc3s2)nc1; ['Clc1ccccn1', 'Clc1nc2ccccc2s1']; ['Nc1nc2ccccc2s1', 'Nc1ccccn1']; [0.999520898, 0.999520898]
-CCOc1ccccc1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['CCOc1ccccc1B(O)O']; [0.999819458]
-COc1cc(N2CCNCC2)ccc1-c1nc2ccccc2s1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
-c1ccc2c(-c3ccc4ccncc4c3)ccnc2c1; ['Brc1ccc2ccncc2c1']; ['OB(O)c1ccnc2ccccc12']; [0.999523759]
-Fc1cc(F)cc(Cc2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1']; ['Fc1cc(F)cc(C[Zn]Br)c1']; [0.999967575]
-c1cncc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1', 'Br[Mg]c1cccnc1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1cccnc1', 'Brc1ccc2ccncc2c1', 'CCB(CC)c1cccnc1']; [0.999974728, 0.999974728, 0.999974728]
-FC(F)(F)c1cccc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; [0.999999046]
-O[C@H]1C[C@@H](c2ccc3ccncc3c2)C1; [None]; [None]; [0]
-Clc1ccccc1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'OB(O)c1ccccc1Cl']; [0.999991298, 0.999991298]
-Brc1ccccc1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['OB(O)c1ccccc1Br']; [0.997154474]
-c1cc2ccc(-c3cc[nH]n3)cc2cn1; ['Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2cc[nH]n2)OC1(C)C']; [0.999983072]
-FC(F)(F)Oc1ccccc1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999986053, 0.999986053]
-Fc1ccccc1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2ccccc2F)OC1(C)C', 'OB(O)c1ccccc1F']; [0.999983907, 0.999983907]
-N#Cc1ccccc1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['N#Cc1ccccc1B(O)O']; [0.999944329]
-Fc1cccc(F)c1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2c(F)cccc2F)OC1(C)C']; [0.999998569]
-NC(=O)c1ccccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4ccncc4c3)cn2)cc1; ['Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; [0.999999642]
-N[C@H](c1ccc2ccncc2c1)c1ccco1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ccc4ccncc4c3)[nH]2)cc1; [None]; [None]; [0]
-c1cc(-c2ccc3ccncc3c2)ncn1; [None]; [None]; [0]
-OCCn1cc(-c2ccc3ccncc3c2)cn1; ['Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; [0.999998569]
-c1cc2ccc(-c3ccc4c(c3)CCC4)cc2cn1; [None]; [None]; [0]
-c1ccn2c(-c3ccc4ccncc4c3)cnc2c1; ['Brc1ccc2ccncc2c1']; ['c1ccn2ccnc2c1']; [0.999593437]
-O=C(Nc1cccc(-c2ccc3ccncc3c2)c1)c1ccccc1; [None]; [None]; [0]
-c1cc2ccc(-c3cnco3)cc2cn1; ['Brc1ccc2ccncc2c1']; ['c1cocn1']; [0.999192178]
-c1cnn2c(-c3ccc4ccncc4c3)cnc2c1; ['Brc1ccc2ccncc2c1']; ['c1cnn2ccnc2c1']; [0.999949813]
-Cc1nc(N)sc1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['Cc1csc(N)n1']; [0.96410042]
-Cc1ccc(-c2ccc3ccncc3c2)c(Br)c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3ccncc3c2)s1; ['Brc1ccc2ccncc2c1']; ['Cc1csc(C)n1']; [0.996757209]
-CC(C)(C)Nc1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['CC(C)(C)N']; [0.950073361]
-Clc1cccc(-c2ccc3ccncc3c2)c1Cl; ['Brc1ccc2ccncc2c1']; ['OB(O)c1cccc(Cl)c1Cl']; [0.999942541]
-c1cc2ccc(OC3CCCCC3)cc2cn1; ['BrC1CCCCC1']; ['Oc1ccc2ccncc2c1']; [0.999703586]
-Clc1cccc(Cl)c1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999973059]
-c1cncc(CNc2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1']; ['NCc1cccnc1']; [0.99911052]
-Cc1ccc(Cl)c(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.999920487]
-Nc1nccc(-c2ccc3ccncc3c2)n1; [None]; [None]; [0]
-COc1cccc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1']; ['COc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; [0.999992609]
-Clc1ccc(-c2ccc3ccncc3c2)s1; ['Brc1ccc2ccncc2c1']; ['Clc1cccs1']; [0.998897672]
-Cc1ncc(-c2ccc3ccncc3c2)[nH]1; [None]; [None]; [0]
-c1cncc(Nc2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1']; ['Nc1cccnc1']; [0.998621702]
-c1ccc2cc(-c3ccc4ccncc4c3)ccc2c1; ['Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccccc2c1']; [0.999878168]
-c1ccc2c(c1)ncn2-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['c1ccc2[nH]cnc2c1']; [0.998454213]
-CC(C)COc1ccc2ccncc2c1; ['CC(C)CBr', 'CC(C)CO']; ['Oc1ccc2ccncc2c1', 'Oc1ccc2ccncc2c1']; [0.989232, 0.989232]
-C[C@H](CO)Nc1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['C[C@@H](N)CO']; [0.966292918]
-c1ccc2c(-c3ccc4ccncc4c3)cncc2c1; ['Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C']; [0.999995351]
-C[C@@H](O)[C@@H](C)Oc1ccc2ccncc2c1; [None]; [None]; [0]
-OCc1cccc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1']; ['OCc1cccc(B(O)O)c1']; [0.9989447]
-Cn1cncc1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['Cn1ccnc1']; [0.95035708]
-c1csc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['c1ccsc1', 'Brc1cccs1']; [0.997297823, 0.997297823]
-O=C(Nc1ccc2ccncc2c1)c1cccs1; [None]; [None]; [0]
-c1coc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccco1', 'c1ccoc1']; [0.999991894, 0.999991894]
-Oc1cccc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1']; ['OB(O)c1cccc(O)c1']; [0.999767721]
-CC(C)Nc1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['CC(C)N']; [0.995886862]
-c1cc(Nc2ccc3ccncc3c2)ccn1; ['Brc1ccc2ccncc2c1', 'Nc1ccncc1']; ['Nc1ccncc1', 'Oc1ccc2ccncc2c1']; [0.999761641, 0.999761641]
-N#CCCc1cccc(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ccncc3c2)cn1; ['Brc1ccc2ccncc2c1']; ['Cn1cc(B(O)O)cn1']; [0.999927282]
-CC(=O)Nc1cccc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; [0.999999404, 0.999999404]
-Fc1ccc(-c2ccc3ccncc3c2)c(C(F)(F)F)c1; ['Brc1ccc2ccncc2c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999994159]
-CCC(=O)Nc1ccc(-c2ccc3ccncc3c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc3ccncc3c2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2ccc3ccncc3c2)no1; [None]; [None]; [0]
-CCC(=O)Nc1ccc2ccncc2c1; [None]; [None]; [0]
-CCCn1cc(-c2ccc3ccncc3c2)cn1; ['Brc1ccc2ccncc2c1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999999881]
-O=C1CCc2cccc(-c3ccc4ccncc4c3)c21; [None]; [None]; [0]
-c1cc2ccc(-c3cnoc3)cc2cn1; [None]; [None]; [0]
-CCOC(=O)Cc1ccc2ccncc2c1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc3ccncc3c2)cc1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccc3ccncc3c2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3ccc4ccncc4c3)cc12; [None]; [None]; [0]
-c1ccc2ncc(Nc3ccc4ccncc4c3)cc2c1; ['Brc1ccc2ccncc2c1']; ['Nc1cnc2ccccc2c1']; [0.999858141]
-c1ccc2c(-c3ccc4ccncc4c3)c[nH]c2c1; [None]; [None]; [0]
-CCN(CC)c1ccc2ccncc2c1; [None]; [None]; [0]
-COc1ccncc1Nc1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['COc1ccncc1N']; [0.999537826]
-c1cc2ccc(-c3c[nH]c4cnccc34)cc2cn1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc3ccncc3c2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc3ccncc3c2)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ccc2ccncc2c1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3ccncc3c2)cc1; ['Brc1ccc2ccncc2c1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999998093]
-N#C[C@H]1CCOC[C@@H]1c1ccc2ccncc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3ccncc3c2)cc1; ['Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C']; [1.0]
-N#CC[C@@H]1CC[C@@H](c2ccc3ccncc3c2)CC1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ccc2ccncc2c1; [None]; [None]; [0]
-Oc1ncccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3ccncc3c2)cc1; [None]; [None]; [0]
-c1cc(Cc2ccc3ccncc3c2)ccn1; ['BrCc1ccncc1']; ['Brc1ccc2ccncc2c1']; [0.990042806]
-COc1ccc(-c2ccc3ccncc3c2)c(OC)c1; ['Brc1ccc2ccncc2c1']; ['COc1ccc(B(O)O)c(OC)c1']; [0.999933]
-c1ccc2c(c1)cnn2-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['c1ccc2[nH]ncc2c1']; [0.999566495]
-c1cc2ccc(OC3CCOCC3)cc2cn1; ['Brc1ccc2ccncc2c1', 'OC1CCOCC1']; ['OC1CCOCC1', 'Oc1ccc2ccncc2c1']; [0.999928832, 0.999928832]
-c1cc2ccc(-n3ccnc3)cc2cn1; ['Brc1ccc2ccncc2c1']; ['c1c[nH]cn1']; [0.999913335]
-Oc1ccc2nc(-c3ccc4ccncc4c3)[nH]c2c1; [None]; [None]; [0]
-Cc1cncc(-c2ccc3ccncc3c2)n1; ['Brc1ccc2ccncc2c1']; ['Cc1cncc(Cl)n1']; [0.999937892]
-Nc1nnc(-c2ccc3ccncc3c2)s1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccc3ccncc3c2)cc1; ['Brc1ccc2ccncc2c1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999982715]
-c1cc(-c2ccc3ccncc3c2)c2sccc2c1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3ccncc3c2)s1; ['Brc1ccc2ccncc2c1']; ['Nc1nccs1']; [0.935055912]
-c1ccc2sc(-c3ccc4ccncc4c3)nc2c1; ['Brc1ccc2ccncc2c1']; ['c1ccc2scnc2c1']; [0.999971151]
-COc1cccc(F)c1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['COc1cccc(F)c1B(O)O']; [0.999980927]
-Nc1nc(-c2ccc3ccncc3c2)nc2ccccc12; [None]; [None]; [0]
-c1cnc2c(-c3ccc4ccncc4c3)c[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)Oc1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['CC(C)(C)O']; [0.997927904]
-COc1ccc(C#N)cc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-c1cncc(Cc2ccc3ccncc3c2)c1; ['BrCc1cccnc1']; ['Brc1ccc2ccncc2c1']; [0.973423362]
-CC(C)(C)CNc1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['CC(C)(C)CN']; [0.999330878]
-Cc1cc(C)cc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cc(C)cc(B(O)O)c1']; [0.999998569, 0.999998569]
-COc1ccc(OC)c(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1']; ['COc1ccc(OC)c(B(O)O)c1']; [0.999977112]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3ccncc3c2)C1; ['Brc1ccc2ccncc2c1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.999902487]
-C[C@@]1(O)CC[C@H](c2ccc3ccncc3c2)CC1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(c4ccc5ccncc5c4)CC3)nc2c1; ['Brc1ccc2ccncc2c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999856114]
-CNC(=O)c1ccccc1-c1cncc(Cl)c1; ['CNC(=O)c1ccccc1']; ['OB(O)c1cncc(Cl)c1']; [0.997101486]
-CCOc1ccccc1-c1cncc(Cl)c1; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br']; ['Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.993874, 0.993874]
-O[C@H]1C[C@@H](c2cncc(Cl)c2)C1; [None]; [None]; [0]
-Clc1cncc(-c2ccnc3ccccc23)c1; ['Clc1cncc(Br)c1']; ['OB(O)c1ccnc2ccccc12']; [0.994252622]
-Clc1cncc(-c2cccnc2)c1; ['Brc1cccnc1']; ['Clc1cncc(Br)c1']; [0.983146]
-Fc1cc(F)cc(Cc2cncc(Cl)c2)c1; [None]; [None]; [0]
-Clc1cncc(-c2cc[nH]n2)c1; ['Brc1cc[nH]n1']; ['OB(O)c1cncc(Cl)c1']; [0.999453485]
-FC(F)(F)c1cccc(-c2cncc(Cl)c2)c1; ['Clc1cncc(Cl)c1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.997206867]
-Clc1cncc(-c2ccccc2Br)c1; ['Brc1ccccc1I', 'Brc1ccccc1Br']; ['Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1']; [0.996262968, 0.996262968]
-Clc1cncc(-c2ccccc2Cl)c1; ['Clc1ccccc1I']; ['Clc1cncc(Br)c1']; [0.99998951]
-Fc1ccccc1-c1cncc(Cl)c1; ['Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1']; ['Fc1ccccc1I', 'OB(O)c1ccccc1F']; [0.999984, 0.999984]
-NC(=O)c1ccccc1-c1cncc(Cl)c1; ['NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br']; ['OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1']; [0.999904037, 0.999904037]
-N#Cc1ccccc1-c1cncc(Cl)c1; ['CC1(C)OB(c2ccccc2C#N)OC1(C)C', 'N#Cc1ccccc1Br']; ['Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1']; [0.999991655, 0.999991655]
-FC(F)(F)Oc1ccccc1-c1cncc(Cl)c1; ['FC(F)(F)Oc1ccccc1I']; ['OB(O)c1cncc(Cl)c1']; [0.999819577]
-Clc1cncc(-c2cnn(Cc3ccccc3)c2)c1; ['Brc1cnn(Cc2ccccc2)c1']; ['OB(O)c1cncc(Cl)c1']; [0.999336541]
-Fc1cccc(F)c1-c1cncc(Cl)c1; ['Fc1cccc(F)c1I']; ['OB(O)c1cncc(Cl)c1']; [0.999931455]
-Clc1cncc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
-Clc1cncc(-c2ccncn2)c1; ['Clc1ccncn1']; ['OB(O)c1cncc(Cl)c1']; [0.999455273]
-OCCn1cc(-c2cncc(Cl)c2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Clc1cncc(Br)c1']; [0.999935865]
-N[C@H](c1cncc(Cl)c1)c1ccco1; [None]; [None]; [0]
-Cc1ccc(-c2cncc(Cl)c2)c(Br)c1; ['Cc1ccc(I)c(Br)c1']; ['Clc1cncc(Br)c1']; [0.974909186]
-Clc1cncc(-c2ccc3c(c2)CCC3)c1; ['Clc1cncc(Br)c1']; ['Ic1ccc2c(c1)CCC2']; [0.999991298]
-O=C(Nc1cccc(-c2cncc(Cl)c2)c1)c1ccccc1; [None]; [None]; [0]
-Clc1cncc(-c2cnc3ccccn23)c1; ['Brc1cnc2ccccn12', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1']; ['OB(O)c1cncc(Cl)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999742687, 0.999742687, 0.999742687]
-Cc1nc(C)c(-c2cncc(Cl)c2)s1; ['Cc1csc(C)n1']; ['Clc1cncc(Br)c1']; [0.994256437]
-Clc1cncc(-c2cnc3cccnn23)c1; ['Clc1cncc(Br)c1']; ['c1cnn2ccnc2c1']; [0.999846816]
-Clc1cncc(-c2c(Cl)cccc2Cl)c1; ['Clc1cccc(Cl)c1Br', 'Clc1cncc(Br)c1']; ['OB(O)c1cncc(Cl)c1', 'OB(O)c1c(Cl)cccc1Cl']; [0.999941826, 0.999941826]
-Clc1cncc(OC2CCCCC2)c1; ['Clc1cncc(Cl)c1']; ['OC1CCCCC1']; [0.995471478]
-Clc1cncc(-c2cnco2)c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cncc(Cl)c2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1cncc(Br)c1']; [0.999687672]
-Clc1cncc(NCc2cccnc2)c1; ['Clc1cncc(Br)c1', 'Nc1cncc(Cl)c1', 'Clc1cncc(Cl)c1']; ['NCc1cccnc1', 'O=Cc1cccnc1', 'NCc1cccnc1']; [0.997249424, 0.997249424, 0.997249424]
-Cc1nc(N)sc1-c1cncc(Cl)c1; ['Cc1csc(N)n1']; ['Clc1cncc(Br)c1']; [0.998522699]
-CC(C)(C)Nc1cncc(Cl)c1; ['CC(C)(C)N']; ['Clc1cncc(Br)c1']; [0.949079692]
-COc1cccc(-c2cncc(Cl)c2)c1; ['COc1cccc(I)c1', 'COc1cccc(I)c1']; ['Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1']; [0.998389244, 0.998389244]
-Cc1ncc(-c2cncc(Cl)c2)[nH]1; [None]; [None]; [0]
-Clc1cncc(-c2cccc(Cl)c2Cl)c1; ['Clc1cncc(Br)c1']; ['OB(O)c1cccc(Cl)c1Cl']; [0.999234915]
-Clc1cncc(-c2ccc3ccccc3c2)c1; ['Brc1ccc2ccccc2c1']; ['OB(O)c1cncc(Cl)c1']; [0.99796021]
-C[C@H](CO)Nc1cncc(Cl)c1; ['C[C@@H](N)CO']; ['Fc1cncc(Cl)c1']; [0.994469762]
-Clc1cncc(Nc2cccnc2)c1; ['Clc1cncc(Br)c1', 'Brc1cccnc1']; ['Nc1cccnc1', 'Nc1cncc(Cl)c1']; [0.995512068, 0.995512068]
-CC(C)COc1cncc(Cl)c1; ['CC(C)CO']; ['Clc1cncc(Br)c1']; [0.999936]
-Nc1nccc(-c2cncc(Cl)c2)n1; ['Nc1nccc(Cl)n1']; ['OB(O)c1cncc(Cl)c1']; [0.999721348]
-O=C(Nc1cncc(Cl)c1)c1cccs1; ['Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.999415636, 0.999415636]
-Clc1cncc(-c2ccc(Cl)s2)c1; ['Clc1ccc(Br)s1']; ['OB(O)c1cncc(Cl)c1']; [0.9997558]
-Clc1cncc(-c2cncc3ccccc23)c1; ['Brc1cncc2ccccc12', 'Clc1cncc(Br)c1']; ['OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc2ccccc12']; [0.999815285, 0.999815285]
-Clc1cncc(-n2cnc3ccccc32)c1; ['Fc1cncc(Cl)c1']; ['c1ccc2[nH]cnc2c1']; [0.993614376]
-Oc1cccc(-c2cncc(Cl)c2)c1; ['Clc1cncc(Br)c1']; ['OB(O)c1cccc(O)c1']; [0.993722]
-Cn1cncc1-c1cncc(Cl)c1; ['Cn1cncc1I']; ['OB(O)c1cncc(Cl)c1']; [0.999353468]
-Clc1cncc(Nc2ccncc2)c1; ['Clc1cncc(Br)c1', 'Nc1cncc(Cl)c1', 'Brc1ccncc1']; ['Nc1ccncc1', 'OB(O)c1ccncc1', 'Nc1cncc(Cl)c1']; [0.999069512, 0.999069512, 0.999069512]
-Clc1cncc(-c2ccco2)c1; ['Clc1cncc(Br)c1']; ['OB(O)c1ccco1']; [0.996968]
-C[C@@H](O)[C@@H](C)Oc1cncc(Cl)c1; [None]; [None]; [0]
-OCc1cccc(-c2cncc(Cl)c2)c1; ['Clc1cncc(Br)c1', 'Clc1cncc(Br)c1']; ['OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1']; [0.932721615, 0.932721615]
-Cn1cc(-c2cncc(Cl)c2)cn1; ['Clc1cncc(Br)c1', 'Cn1cc(Br)cn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'OB(O)c1cncc(Cl)c1']; [0.999995828, 0.999995828]
-Clc1cncc(-c2cccs2)c1; ['Clc1cncc(Br)c1']; ['c1ccsc1']; [0.99741447]
-CC(C)Nc1cncc(Cl)c1; []; []; []
-CCC(=O)Nc1ccc(-c2cncc(Cl)c2)cc1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cncc(Cl)c2)c1; [None]; [None]; [0]
-Fc1ccc(-c2cncc(Cl)c2)c(C(F)(F)F)c1; ['Clc1cncc(Br)c1']; ['Fc1ccc(Br)c(C(F)(F)F)c1']; [0.998897672]
-CC(=O)Nc1cccc(-c2cncc(Cl)c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Clc1cncc(Br)c1']; [0.999999046]
-CCC(=O)Nc1cncc(Cl)c1; ['CCC(=O)O', 'CCC(=O)OC(=O)CC', 'CCOC(=O)CC']; ['Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1']; [0.996253848, 0.996253848, 0.996253848]
-COc1ccc(-c2cncc(Cl)c2)cc1Cl; ['COc1ccc(Br)cc1Cl']; ['OB(O)c1cncc(Cl)c1']; [0.99974674]
-CCCn1cc(-c2cncc(Cl)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(Br)cn1']; ['Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1']; [0.999989033, 0.999989033]
-Cc1cc(-c2cncc(Cl)c2)no1; [None]; [None]; [0]
-Clc1cncc(-c2cnoc2)c1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cncc(Cl)c3)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1cncc(Cl)c1']; [0.999402165]
-C[S@](=O)c1ccc(-c2cncc(Cl)c2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Clc1cncc(Br)c1']; [0.999888539]
-CC(C)(N)c1ccc(-c2cncc(Cl)c2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.998166561, 0.998166561]
-CCN(CC)c1cncc(Cl)c1; [None]; [None]; [0]
-CCOC(=O)Cc1cncc(Cl)c1; [None]; [None]; [0]
-COc1ccncc1Nc1cncc(Cl)c1; ['COc1ccncc1B(O)O', 'COc1ccncc1I', 'COc1ccncc1N']; ['Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1']; [0.998271346, 0.998271346, 0.998271346]
-Clc1cncc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cncc(Cl)c3)cc12; [None]; [None]; [0]
-Clc1cncc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
-Clc1cncc(Nc2cnc3ccccc3c2)c1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cncc(Cl)c2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cncc(Cl)c2)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cncc(Cl)c1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cncc(Cl)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1cncc(Cl)c1']; [0.998414874]
-N#C[C@H]1CCOC[C@@H]1c1cncc(Cl)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cncc(Cl)c2)cc1; ['CS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1cncc(Cl)c1']; [0.998178959]
-NC(=O)c1c(F)cccc1-c1cncc(Cl)c1; ['NC(=O)c1c(F)cccc1Br']; ['OB(O)c1cncc(Cl)c1']; [0.999962807]
-N#CC[C@@H]1CC[C@@H](c2cncc(Cl)c2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cncc(Cl)c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1cncc(Cl)c1']; [0.995481849]
-Oc1ncccc1-c1cncc(Cl)c1; ['OB(O)c1cncc(Cl)c1']; ['Oc1ncccc1Br']; [0.999472678]
-Clc1cncc(-n2ncc3ccccc32)c1; ['Fc1cncc(Cl)c1']; ['c1ccc2[nH]ncc2c1']; [0.998800635]
-COc1ccc(-c2cncc(Cl)c2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['Clc1cncc(Br)c1', 'Clc1cncc(Br)c1']; [0.998843908, 0.998843908]
-Oc1cccc2c1cnn2-c1cncc(Cl)c1; [None]; [None]; [0]
-Clc1cncc(Cc2ccncc2)c1; ['ClCc1ccncc1']; ['Clc1cncc(Br)c1']; [0.997351408]
-Clc1cncc(OC2CCOCC2)c1; ['Fc1cncc(Cl)c1', 'CS(=O)(=O)OC1CCOCC1', 'OC1CCOCC1', 'Clc1cncc(Cl)c1']; ['OC1CCOCC1', 'Oc1cncc(Cl)c1', 'Oc1cncc(Cl)c1', 'OC1CCOCC1']; [0.999964237, 0.999964237, 0.999964237, 0.999964237]
-Clc1cncc(-n2ccnc2)c1; ['Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.998741448, 0.998741448]
-Oc1ccc2nc(-c3cncc(Cl)c3)[nH]c2c1; [None]; [None]; [0]
-Cc1cncc(-c2cncc(Cl)c2)n1; ['Cc1cncc(Cl)n1']; ['OB(O)c1cncc(Cl)c1']; [0.999724567]
-Nc1nnc(-c2cncc(Cl)c2)s1; ['NNC(N)=S']; ['O=C(O)c1cncc(Cl)c1']; [0.999817312]
-O=C(c1ccccc1)c1ccc(-c2cncc(Cl)c2)cc1; ['Clc1cncc(Br)c1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Cl)c1']; [0.999453485, 0.999453485]
-COc1cccc(F)c1-c1cncc(Cl)c1; ['COc1cccc(F)c1B(O)O']; ['Clc1cncc(Br)c1']; [0.999963045]
-Clc1cncc(-c2nc3ccccc3s2)c1; ['Nc1ccccc1S', 'Clc1cncc(Br)c1']; ['O=Cc1cncc(Cl)c1', 'c1ccc2scnc2c1']; [0.99999845, 0.99999845]
-Nc1ncc(-c2cncc(Cl)c2)s1; [None]; [None]; [0]
-Nc1nc(-c2cncc(Cl)c2)nc2ccccc12; [None]; [None]; [0]
-Clc1cncc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
-Clc1cncc(Cc2cccnc2)c1; ['BrCc1cccnc1']; ['Clc1cncc(Br)c1']; [0.968450844]
-Clc1cncc(-c2cccc3ccsc23)c1; ['Brc1cccc2ccsc12']; ['OB(O)c1cncc(Cl)c1']; [0.993325055]
-CC(C)(C)Oc1cncc(Cl)c1; ['CC(C)(C)O', 'CC(C)(C)O']; ['Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1']; [0.98268038, 0.98268038]
-COc1ccc(OC)c(-c2cncc(Cl)c2)c1; ['COc1ccc(OC)cc1']; ['Clc1cncc(Br)c1']; [0.912280798]
-C[C@@]1(O)CC[C@H](c2cncc(Cl)c2)CC1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cncc(Cl)c1; ['COc1ccc(C#N)cc1']; ['Clc1cncc(Br)c1']; [0.771642566]
-CC(C)(C)CNc1cncc(Cl)c1; ['CC(C)(C)C=O']; ['Nc1cncc(Cl)c1']; [0.941889286]
-Cc1cc(C)cc(-c2cncc(Cl)c2)c1; ['Cc1cc(C)cc(I)c1']; ['Clc1cncc([Zn]Br)c1']; [0.999306917]
-Clc1cncc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Clc1cncc(Br)c1']; [0.999785841]
-Clc1cncc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; ['Clc1cncc(Br)c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999649763]
-CCOc1ccccc1-c1cnc(N)c(Cl)c1; ['CCOc1ccccc1Br']; ['Nc1ncc(Br)cc1Cl']; [0.99171406]
-Nc1ncc(-c2ccnc3ccccc23)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OB(O)c1ccnc2ccccc12']; [0.995559692]
-Nc1ncc([C@@H]2C[C@H](O)C2)cc1Cl; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(Cc2cc(F)cc(F)c2)cc1Cl; ['Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.999561965, 0.999561965]
-Nc1ncc(-c2cc[nH]n2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OB(O)c1cc[nH]n1']; [0.977299452]
-Nc1ncc(-c2cccc(C(F)(F)F)c2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999838114]
-Nc1ncc(-c2cccnc2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OB(O)c1cccnc1']; [0.999514]
-Nc1ncc(-c2ccccc2F)cc1Cl; ['Fc1ccccc1Br']; ['Nc1ncc(Br)cc1Cl']; [0.994107246]
-Nc1ncc(-c2ccccc2Br)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OB(O)c1ccccc1Br']; [0.953547835]
-Nc1ncc(-c2ccccc2Cl)cc1Cl; ['CC1(C)OB(c2ccccc2Cl)OC1(C)C']; ['Nc1ncc(Br)cc1Cl']; [0.999973774]
-N#Cc1ccccc1-c1cnc(N)c(Cl)c1; ['CC1(C)OB(c2ccccc2C#N)OC1(C)C']; ['Nc1ncc(Br)cc1Cl']; [0.999961734]
-Nc1ncc(-c2ccccc2OC(F)(F)F)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999746263]
-Nc1ncc(-c2cnn(Cc3ccccc3)c2)cc1Cl; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.999996781, 0.999996781]
-Nc1ncc(-c2c(F)cccc2F)cc1Cl; ['CC1(C)OB(c2c(F)cccc2F)OC1(C)C']; ['Nc1ncc(Br)cc1Cl']; [0.999997854]
-NC(=O)c1ccccc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(-c2ccncn2)cc1Cl; [None]; [None]; [0]
-Nc1ncc([C@@H](N)c2ccco2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2cnc(-c3ccccc3)[nH]2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2cnn(CCO)c2)cc1Cl; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Nc1ncc(Br)cc1Cl']; [0.999899507]
-Nc1ncc(-c2cccc(NC(=O)c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(c2)CCC3)cc1Cl; ['Ic1ccc2c(c1)CCC2']; ['Nc1ncc(Br)cc1Cl']; [0.999967813]
-Nc1ncc(-c2cnc3ccccn23)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2cnco2)cc1Cl; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)c(Cl)c2)c(Br)c1; ['Cc1ccc(I)c(Br)c1']; ['Nc1ncc(Br)cc1Cl']; [0.981062353]
-Cc1nc(N)sc1-c1cnc(N)c(Cl)c1; ['Cc1csc(N)n1']; ['Nc1ncc(Br)cc1Cl']; [0.999404192]
-Nc1ncc(-c2cnc3cccnn23)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['c1cnn2ccnc2c1']; [0.99903512]
-Cc1nc(C)c(-c2cnc(N)c(Cl)c2)s1; ['Cc1csc(C)n1']; ['Nc1ncc(Br)cc1Cl']; [0.986806929]
-Nc1ncc(-c2c(Cl)cccc2Cl)cc1Cl; ['Nc1ncc(Cl)cc1Cl']; ['OB(O)c1c(Cl)cccc1Cl']; [0.971521795]
-Nc1ncc(OC2CCCCC2)cc1Cl; [None]; [None]; [0]
-CC(C)(C)Nc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(Cl)c2Cl)cc1Cl; ['Nc1ncc(Br)cc1Cl', 'Clc1cccc(I)c1Cl', 'Nc1ncc(Cl)cc1Cl']; ['OB(O)c1cccc(Cl)c1Cl', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cccc(Cl)c1Cl']; [0.999165297, 0.999165297, 0.999165297]
-Nc1ncc(NCc2cccnc2)cc1Cl; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cnc(N)c(Cl)c2)c1; [None]; [None]; [0]
-COc1cccc(-c2cnc(N)c(Cl)c2)c1; ['COc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cccc(B(O)O)c1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.999997497, 0.999997497]
-Nc1nccc(-c2cnc(N)c(Cl)c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Cl)s2)cc1Cl; ['CC1(C)OB(c2ccc(Cl)s2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; ['Nc1ncc(Br)cc1Cl', 'OB(O)c1ccc(Cl)s1']; [0.999998093, 0.999998093]
-Cc1ncc(-c2cnc(N)c(Cl)c2)[nH]1; [None]; [None]; [0]
-Nc1ncc(Nc2cccnc2)cc1Cl; ['Nc1cccnc1']; ['Nc1ncc(Br)cc1Cl']; [0.993616581]
-Nc1ncc(-c2ccc3ccccc3c2)cc1Cl; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Ic1ccc2ccccc2c1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.999997735, 0.999997735]
-Nc1ncc(-n2cnc3ccccc32)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['c1ccc2[nH]cnc2c1']; [0.996893764]
-C[C@H](CO)Nc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-CC(C)COc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(NC(=O)c2cccs2)cc1Cl; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(-c2cncc3ccccc23)cc1Cl; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; ['Nc1ncc(Br)cc1Cl', 'OB(O)c1cncc2ccccc12']; [0.999979258, 0.999979258]
-Nc1ncc(-c2cccc(CO)c2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OCc1cccc(I)c1']; [0.994265616]
-Nc1ncc(-c2cccs2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OB(O)c1cccs1']; [0.99979049]
-Nc1ncc(-c2cccc(O)c2)cc1Cl; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['Nc1ncc(Br)cc1Cl']; [0.999793708]
-Nc1ncc(Nc2ccncc2)cc1Cl; ['Nc1ccncc1']; ['Nc1ncc(Br)cc1Cl']; [0.997805655]
-Cn1cncc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(Cl)c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.999998212, 0.999998212]
-CC(C)Nc1cnc(N)c(Cl)c1; ['CC(C)N']; ['Nc1ncc(Br)cc1Cl']; [0.957493365]
-Nc1ncc(-c2ccc(F)cc2C(F)(F)F)cc1Cl; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ncc(Br)cc1Cl']; [0.999937177, 0.999937177, 0.999937177]
-CCC(=O)Nc1ccc(-c2cnc(N)c(Cl)c2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccco2)cc1Cl; ['Nc1ncc(Cl)cc1Cl']; ['OB(O)c1ccco1']; [0.783785582]
-COc1ccc(-c2cnc(N)c(Cl)c2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Nc1ncc(Cl)cc1Cl']; [0.999763072]
-CCC(=O)Nc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cnc(N)c(Cl)c2)c1; [None]; [None]; [0]
-CCCn1cc(-c2cnc(N)c(Cl)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.99998951, 0.99998951]
-CC(=O)Nc1cccc(-c2cnc(N)c(Cl)c2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1ncc(Cl)cc1Cl']; [0.988334656]
-Nc1ncc(-c2cnoc2)cc1Cl; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cnc(N)c(Cl)c2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['Nc1ncc(Br)cc1Cl']; [0.972954571]
-Cc1cc(-c2cnc(N)c(Cl)c2)no1; [None]; [None]; [0]
-CCN(CC)c1cnc(N)c(Cl)c1; ['CCNCC']; ['Nc1ncc(Br)cc1Cl']; [0.805823624]
-CCOC(=O)Cc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(-c2cccc3c2C(=O)CC3)cc1Cl; [None]; [None]; [0]
-COc1ccncc1Nc1cnc(N)c(Cl)c1; ['COc1ccncc1N']; ['Nc1ncc(Br)cc1Cl']; [0.997611642]
-Nc1ncc(-c2cc3c(=O)[nH]ccc3o2)cc1Cl; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cnc(N)c(Cl)c2)cc1; [None]; [None]; [0]
-Nc1ncc(Nc2cnc3ccccc3c2)cc1Cl; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.997504294, 0.997504294]
-Nc1ncc(-c2c[nH]c3ccccc23)cc1Cl; [None]; [None]; [0]
-Nc1ncc([C@H](CO)Cc2ccccc2)cc1Cl; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cnc(N)c(Cl)c2)C1; [None]; [None]; [0]
-Nc1ncc(-c2c[nH]c3cnccc23)cc1Cl; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cnc(N)c(Cl)c2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc(N)c(Cl)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc(N)c(Cl)c2)cc1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cnc(N)c(Cl)c2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc(N)c(Cl)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ncc(Br)cc1Cl']; [0.999998093]
-Nc1ncc(-n2ncc3ccccc32)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['c1ccc2[nH]ncc2c1']; [0.999070585]
-Nc1ncc(-n2ncc3c(O)cccc32)cc1Cl; [None]; [None]; [0]
-Nc1ncc(Cc2ccncc2)cc1Cl; ['ClCc1ccncc1']; ['Nc1ncc(Br)cc1Cl']; [0.993570924]
-NC(=O)c1c(F)cccc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(-c2nc3ccc(O)cc3[nH]2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)c3ccccc3)cc2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999910116]
-Nc1ncc(-c2cccnc2O)cc1Cl; [None]; [None]; [0]
-COc1ccc(-c2cnc(N)c(Cl)c2)c(OC)c1; ['COc1ccc(Br)c(OC)c1']; ['Nc1ncc(Br)cc1Cl']; [0.979719222]
-Nc1ncc(-c2cnc(N)c(Cl)c2)s1; ['Nc1ncc(Br)cc1Cl']; ['Nc1nccs1']; [0.980801046]
-Nc1ncc(OC2CCOCC2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-n2ccnc2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['c1c[nH]cn1']; [0.995713]
-COc1cccc(F)c1-c1cnc(N)c(Cl)c1; ['COc1cccc(F)c1B(O)O']; ['Nc1ncc(Br)cc1Cl']; [0.999991298]
-Cc1cncc(-c2cnc(N)c(Cl)c2)n1; ['Cc1cncc(Cl)n1']; ['Nc1ncc(Br)cc1Cl']; [0.999115407]
-Nc1nnc(-c2cnc(N)c(Cl)c2)s1; [None]; [None]; [0]
-Nc1ncc(-c2nc3ccccc3s2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['c1ccc2scnc2c1']; [0.999902368]
-Nc1ncc(-c2nc(N)c3ccccc3n2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2cccc3ccsc23)cc1Cl; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cnc(N)c(Cl)c1; ['COc1ccc(C#N)cc1Br']; ['Nc1ncc(Br)cc1Cl']; [0.999272048]
-Nc1ncc(-c2c[nH]c3cccnc23)cc1Cl; [None]; [None]; [0]
-CC(C)(C)CNc1cnc(N)c(Cl)c1; ['CC(C)(C)CN']; ['Nc1ncc(Br)cc1Cl']; [0.933909774]
-Nc1ncc(Cc2cccnc2)cc1Cl; ['ClCc1cccnc1']; ['Nc1ncc(Br)cc1Cl']; [0.981040657]
-Cc1cc(C)cc(-c2cnc(N)c(Cl)c2)c1; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1ncc(Br)cc1Cl']; [0.999992]
-CC(C)(C)Oc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cnc(N)c(Cl)c2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.999859333, 0.999859333]
-Nc1ncc(N2CC=C(c3c[nH]c4ccccc34)CC2)cc1Cl; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Nc1ncc(Br)cc1Cl']; [0.999884844]
-C[C@@]1(O)CC[C@H](c2cnc(N)c(Cl)c2)CC1; [None]; [None]; [0]
-Oc1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-Cn1cc(-c2cncc3cccnc23)cn1; [None]; [None]; [0]
-Nc1ncc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999821]
-c1cnc2c(-c3cccc4ncccc34)cncc2c1; [None]; [None]; [0]
-c1cnc2c(-c3cn[nH]c3)cncc2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccncc3)cncc2c1; [None]; [None]; [0]
-Oc1cc(-c2cncc3cccnc23)ccc1Cl; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cncc2cccnc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-CCc1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2cncc3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(-c3n[nH]c4ccccc34)cncc2c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cncc2cccnc12; [None]; [None]; [0]
-Nc1nccc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
-Cc1ncc(-c2cncc3cccnc23)[nH]1; [None]; [None]; [0]
-Oc1ccc(-c2cncc3cccnc23)c(Cl)c1; [None]; [None]; [0]
-Clc1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3cc[nH]c3)cncc2c1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cncc3cccnc23)C1; [None]; [None]; [0]
-N#Cc1cnc(-c2cncc3cccnc23)cn1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cncc3cccnc23)o1; [None]; [None]; [0]
-N#Cc1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-COc1cc(-c2cncc3cccnc23)ccc1O; [None]; [None]; [0]
-c1cnc2c(-c3ccoc3)cncc2c1; [None]; [None]; [0]
-c1cnc2c(-c3cnccn3)cncc2c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cncc3cccnc23)cn1; [None]; [None]; [0]
-Clc1cccc(OCc2cncc3cccnc23)c1; [None]; [None]; [0]
-OCCCc1cncc2cccnc12; [None]; [None]; [0]
-COc1cc(CCc2cncc3cccnc23)ccc1O; [None]; [None]; [0]
-c1csc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-c1cnc2c(-c3ccncn3)cncc2c1; [None]; [None]; [0]
-Brc1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-Oc1ccc(-c2cncc3cccnc23)c(O)c1; [None]; [None]; [0]
-Fc1ccc(-c2cncc3cccnc23)cc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cncc2cccnc12; [None]; [None]; [0]
-Cc1ccc(-c2cncc3cccnc23)cc1C; [None]; [None]; [0]
-Clc1ccccc1OCc1cncc2cccnc12; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cncc2cccnc12; [None]; [None]; [0]
-Oc1ncc(-c2cncc3cccnc23)cc1Cl; [None]; [None]; [0]
-O=c1ccccn1Cc1cncc2cccnc12; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cncc2cccnc12; [None]; [None]; [0]
-COc1ccc(-c2cncc3cccnc23)cc1OC; [None]; [None]; [0]
-Cc1nc2ccc(-c3cncc4cccnc34)cc2[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(-c3nc4ccccc4s3)cncc2c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cncc3cccnc23)CC1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cncc4cccnc34)ccc2N1; [None]; [None]; [0]
-Oc1cncc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cncc2cccnc12; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cncc2cccnc12; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cncc2cccnc12; [None]; [None]; [0]
-CCc1sccc1-c1cncc2cccnc12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-n3ccnc3)cncc2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc4c(c3)CCN4)cncc2c1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2cncc3cccnc23)cc1Cl; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3nccs3)cncc2c1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3cncc4cccnc34)cc2[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cncc3cccnc23)[nH]n1; [None]; [None]; [0]
-c1cnc2c(Nc3ccncc3)cncc2c1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cncc2cccnc12; [None]; [None]; [0]
-Cc1ccc(-c2cncc3cccnc23)nc1C; [None]; [None]; [0]
-Cc1csc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(-c3cnco3)cncc2c1; [None]; [None]; [0]
-Cc1ccc(-c2cncc3cccnc23)c(C)n1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3cncc4cccnc34)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3cncc4cccnc34)cc2o1; [None]; [None]; [0]
-Oc1c(F)cc(-c2cncc3cccnc23)cc1F; [None]; [None]; [0]
-Fc1ccc(Oc2cncc3cccnc23)c(F)c1; [None]; [None]; [0]
-CSc1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-c1ccc(COc2cncc3cccnc23)cc1; [None]; [None]; [0]
-Fc1ccccc1Oc1cncc2cccnc12; [None]; [None]; [0]
-Fc1ccc(Cc2cncc3cccnc23)cc1; [None]; [None]; [0]
-Fc1ccc(-c2cncc3cccnc23)c(Cl)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1cncc2cccnc12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3cc[nH]n3)cncc2c1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cncc3cccnc23)c1; [None]; [None]; [0]
-c1cnc2c(-c3ccnc4ccccc34)cncc2c1; [None]; [None]; [0]
-Fc1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-c1cncc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-Brc1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cncc4cccnc34)[nH]2)cc1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cncc4cccnc34)cn2)cc1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-OCCn1cc(-c2cncc3cccnc23)cn1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1cncc2cccnc12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cncc3cccnc23)c1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2cncc3cccnc23)c(Br)c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc4c(c3)CCC4)cncc2c1; [None]; [None]; [0]
-c1cnc2c(-c3cnc4ccccn34)cncc2c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cncc2cccnc12; [None]; [None]; [0]
-Cc1nc(C)c(-c2cncc3cccnc23)s1; [None]; [None]; [0]
-c1cnc2c(-c3cnc4cccnn34)cncc2c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-c1cnc2c(OC3CCCCC3)cncc2c1; [None]; [None]; [0]
-CC(C)(C)Nc1cncc2cccnc12; [None]; [None]; [0]
-c1cncc(CNc2cncc3cccnc23)c1; [None]; [None]; [0]
-COc1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-Clc1cccc(-c2cncc3cccnc23)c1Cl; [None]; [None]; [0]
-Clc1ccc(-c2cncc3cccnc23)s1; [None]; [None]; [0]
-c1cncc(Nc2cncc3cccnc23)c1; [None]; [None]; [0]
-c1ccc2cc(-c3cncc4cccnc34)ccc2c1; [None]; [None]; [0]
-c1cnc2c(-n3cnc4ccccc43)cncc2c1; [None]; [None]; [0]
-CC(C)COc1cncc2cccnc12; [None]; [None]; [0]
-C[C@H](CO)Nc1cncc2cccnc12; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cncc2cccnc12; [None]; [None]; [0]
-c1ccc2c(-c3cncc4cccnc34)cncc2c1; [None]; [None]; [0]
-O=C(Nc1cncc2cccnc12)c1cccs1; [None]; [None]; [0]
-OCc1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-Cn1cncc1-c1cncc2cccnc12; [None]; [None]; [0]
-Oc1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-CC(C)Nc1cncc2cccnc12; [None]; [None]; [0]
-N#CCCc1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-c1coc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-Fc1ccc(-c2cncc3cccnc23)c(C(F)(F)F)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-COc1ccc(-c2cncc3cccnc23)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cncc3cccnc23)no1; [None]; [None]; [0]
-CCC(=O)Nc1cncc2cccnc12; [None]; [None]; [0]
-CCCn1cc(-c2cncc3cccnc23)cn1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cncc4cccnc34)c21; [None]; [None]; [0]
-c1cnc2c(-c3cnoc3)cncc2c1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1cncc2cccnc12; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(-c3c[nH]c4ccccc34)cncc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cncc4cccnc34)cc12; [None]; [None]; [0]
-CCN(CC)c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3c[nH]c4cnccc34)cncc2c1; [None]; [None]; [0]
-c1ccc2ncc(Nc3cncc4cccnc34)cc2c1; [None]; [None]; [0]
-COc1ccncc1Nc1cncc2cccnc12; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cncc3cccnc23)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cncc3cccnc23)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cncc2cccnc12; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cncc2cccnc12; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cncc3cccnc23)CC1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cncc2cccnc12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-n3ncc4ccccc43)cncc2c1; [None]; [None]; [0]
-Oc1ncccc1-c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(Cc3ccncc3)cncc2c1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cncc4cccnc34)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2cncc3cccnc23)c(OC)c1; [None]; [None]; [0]
-c1cnc2c(OC3CCOCC3)cncc2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-Nc1ncc(-c2cncc3cccnc23)s1; [None]; [None]; [0]
-Cc1cncc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
-Nc1nnc(-c2cncc3cccnc23)s1; [None]; [None]; [0]
-Nc1nc(-c2cncc3cccnc23)nc2ccccc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3cccc4ccsc34)cncc2c1; [None]; [None]; [0]
-c1cncc(Cc2cncc3cccnc23)c1; [None]; [None]; [0]
-c1cnc2c(-c3c[nH]c4cccnc34)cncc2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cncc2cccnc12; [None]; [None]; [0]
-CC(C)(C)Oc1cncc2cccnc12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cncc3cccnc23)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-CC(C)(C)CNc1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cncc2c1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cncc3cccnc23)C1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-CCOc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-N#Cc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['N#Cc1ccc(C=C[N+](=O)[O-])cc1']; ['c1ccc(-c2cc3ccccc3[nH]2)cc1']; [0.97838515]
-Cc1n[nH]cc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-COc1ncccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-Cn1nncc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-Cn1cc(-c2cc3ccccc3[nH]c2=O)cn1; [None]; [None]; [0]
-COc1cc(-c2cc3ccccc3[nH]c2=O)cc(OC)c1OC; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cccc(O)c1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cnc2cccnn12; [None]; [None]; [0]
-COc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['COc1ccc(B(O)O)cc1']; ['O=c1ccc2ccccc2[nH]1']; [0.99866724]
-O=c1[nH]c2ccccc2cc1-c1nc2ccccc2[nH]1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['O=Cc1cc2ccccc2[nH]c1=O', 'O=C(O)c1cc2ccccc2[nH]c1=O']; [0.996103525, 0.996103525]
-Cc1cc(Nc2cc3ccccc3[nH]c2=O)sn1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Nc1ncccn1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cccc(F)c1; ['O=[N+]([O-])C=Cc1cccc(F)c1']; ['c1ccc(-c2cc3ccccc3[nH]2)cc1']; [0.981096208]
-O=C(Nc1ccccc1)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=C(Nc1cc2ccccc2[nH]c1=O)C1CC1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(OCCO)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Cc1nccc2ccccc12; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(Cl)cc1; ['O=[N+]([O-])C=Cc1ccc(Cl)cc1']; ['c1ccc(-c2cc3ccccc3[nH]2)cc1']; [0.984529853]
-Cc1cc(-c2cc3ccccc3[nH]c2=O)nn1C; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Nc1ccncn1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(C(F)(F)F)cc1; ['O=c1ccc2ccccc2[nH]1']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.999782383]
-CNS(=O)(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc3ccccc3[nH]c2=O)s1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Cc1ccccc1O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Cc1ccncc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1C[C@H](O)CO; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(Br)cc1; ['O=[N+]([O-])C=Cc1ccc(Br)cc1']; ['c1ccc(-c2cc3ccccc3[nH]2)cc1']; [0.984425426]
-O=c1[nH]c2ccccc2cc1-c1cnc(Cl)nc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Cc1cccnc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cncnc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-n1ccnc1; [None]; [None]; [0]
-COc1ccc(Cc2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc[nH]1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cn[nH]c1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cc2ccccc2cn1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Cn1ccnc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cccc2c1OCO2; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-COc1cc(-c2cc3ccccc3[nH]c2=O)ccc1O; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1scc2c1OCCO2; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(F)c(F)c1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cnc2ccccc2c1; [None]; [None]; [0]
-CC1(COc2cc3ccccc3[nH]c2=O)COC1; [None]; [None]; [0]
-COCCOc1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccco1; [None]; [None]; [0]
-CSc1cccc(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(F)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cc3ccccc3[nH]c2=O)nc(N)n1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-COc1ccc(-c2cc3ccccc3[nH]c2=O)cc1OC; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ncc(Br)cn1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(Cl)cc1Cl; ['O=[N+]([O-])C=Cc1ccc(Cl)cc1Cl']; ['c1ccc(-c2cc3ccccc3[nH]2)cc1']; [0.955034196]
-COc1ccc(CNc2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-CCc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-Cn1cc(-c2cc3ccccc3[nH]c2=O)c(C(F)(F)F)n1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccsc1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc3ccccc3[nH]c2=O)cc1OC; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc4ccccc4[nH]c3=O)c2c1; [None]; [None]; [0]
-Cc1cc(Nc2cc3ccccc3[nH]c2=O)nn1C; [None]; [None]; [0]
-Cc1nc(Nc2cc3ccccc3[nH]c2=O)sc1C; [None]; [None]; [0]
-COc1cc(-c2cc3ccccc3[nH]c2=O)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['O=c1ccc2ccccc2[nH]1']; [0.999330401]
-COc1cc(OC)cc(-c2cc3ccccc3[nH]c2=O)c1; ['COc1cc(OC)cc(B(O)O)c1']; ['O=c1ccc2ccccc2[nH]1']; [0.996904314]
-Cc1ccc(-c2cc3ccccc3[nH]c2=O)o1; [None]; [None]; [0]
-COc1cc(-c2cc3ccccc3[nH]c2=O)c(OC)cc1Br; [None]; [None]; [0]
-CCn1cc(-c2cc3ccccc3[nH]c2=O)cn1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
-CC(C)Oc1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-COC(=O)Nc1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cc2ccccc2o1; [None]; [None]; [0]
-CCc1cccc(-c2cc3ccccc3[nH]c2=O)n1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cscn1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(CCO)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cc3ccccc3[nH]c2=O)nc1C; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Nc1ccc(F)cn1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Nc1ccccn1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2c(Br)cnc3[nH]ncc23)C1; [None]; [None]; [0]
-CCOc1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1ccnc2ccccc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cc[nH]n1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cccnc1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-Fc1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Clc1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-N#Cc1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1ccncn1; [None]; [None]; [0]
-OCCn1cc(-c2c(Br)cnc3[nH]ncc23)cn1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2c(Br)cnc3[nH]ncc23)c1)c1ccccc1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1ccc2c(c1)CCC2; [None]; [None]; [0]
-Cc1ccc(-c2c(Br)cnc3[nH]ncc23)c(Br)c1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cnco1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cnc2ccccn12; [None]; [None]; [0]
-Cc1nc(C)c(-c2c(Br)cnc3[nH]ncc23)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cnc2cccnn12; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1OC1CCCCC1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-CC(C)(C)Nc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1NCc1cccnc1; [None]; [None]; [0]
-Clc1cccc(-c2c(Br)cnc3[nH]ncc23)c1Cl; [None]; [None]; [0]
-Cc1ncc(-c2c(Br)cnc3[nH]ncc23)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-Nc1nccc(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1ccc2ccccc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1Nc1cccnc1; [None]; [None]; [0]
-C[C@H](CO)Nc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Clc1ccc(-c2c(Br)cnc3[nH]ncc23)s1; [None]; [None]; [0]
-CC(C)COc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-n1cnc2ccccc21; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cncc2ccccc12; [None]; [None]; [0]
-O=C(Nc1c(Br)cnc2[nH]ncc12)c1cccs1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Oc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-Cn1cncc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-OCc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1Nc1ccncc1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cccs1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1ccco1; [None]; [None]; [0]
-Cn1cc(-c2c(Br)cnc3[nH]ncc23)cn1; [None]; [None]; [0]
-N#CCCc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-CC(C)Nc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-Fc1ccc(-c2c(Br)cnc3[nH]ncc23)c(C(F)(F)F)c1; [None]; [None]; [0]
-CCC(=O)Nc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Cc1cc(-c2c(Br)cnc3[nH]ncc23)no1; [None]; [None]; [0]
-COc1ccc(-c2c(Br)cnc3[nH]ncc23)cc1Cl; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cnoc1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3c(Br)cnc4[nH]ncc34)c21; [None]; [None]; [0]
-CCCn1cc(-c2c(Br)cnc3[nH]ncc23)cn1; [None]; [None]; [0]
-CCOC(=O)Cc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3c(Br)cnc4[nH]ncc34)cc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-CCN(CC)c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1Nc1cnc2ccccc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1c[nH]c2cnccc12; [None]; [None]; [0]
-COc1ccncc1Nc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2c(Br)cnc3[nH]ncc23)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2c(Br)cnc3[nH]ncc23)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2c(Br)cnc3[nH]ncc23)C1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-n1ncc2ccccc21; [None]; [None]; [0]
-Oc1ccc2nc(-c3c(Br)cnc4[nH]ncc34)[nH]c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; [None]; [None]; [0]
-Oc1ncccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-COc1ccc(-c2c(Br)cnc3[nH]ncc23)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1Cc1ccncc1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-n1ccnc1; [None]; [None]; [0]
-Nc1ncc(-c2c(Br)cnc3[nH]ncc23)s1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1OC1CCOCC1; [None]; [None]; [0]
-Cc1cncc(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cccc2ccsc12; [None]; [None]; [0]
-Nc1nnc(-c2c(Br)cnc3[nH]ncc23)s1; [None]; [None]; [0]
-Nc1nc(-c2c(Br)cnc3[nH]ncc23)nc2ccccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1nc2ccccc2s1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1Cc1cccnc1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-CC(C)(C)CNc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2c(Br)cnc3[nH]ncc23)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-CC(C)(C)Oc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['CCOc1ccccc1B(O)O']; [0.99984777]
-CNC(=O)c1ccccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-c1ccc2c(-c3cnc4[nH]ncc4c3)ccnc2c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccnc2ccccc12']; [0.998522103]
-Fc1cc(F)cc(Cc2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-c1cncc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cccnc2)OC1(C)C', 'OB(O)c1cccnc1']; [0.999919653, 0.999919653]
-FC(F)(F)c1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999967575, 0.999967575]
-Clc1ccccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2ccccc2Cl)OC1(C)C']; [0.999928832]
-O[C@H]1C[C@@H](c2cnc3[nH]ncc3c2)C1; [None]; [None]; [0]
-Brc1ccccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccccc1Br']; [0.979436159]
-FC(F)(F)Oc1ccccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999867678]
-c1cc(-c2cnc3[nH]ncc3c2)n[nH]1; [None]; [None]; [0]
-Fc1ccccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccccc1F']; [0.997010469]
-NC(=O)c1ccccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['N#Cc1ccccc1B(O)O']; [0.999338567]
-Fc1cccc(F)c1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1c(F)cccc1F']; [0.999726]
-c1ccc(Cn2cc(-c3cnc4[nH]ncc4c3)cn2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; [0.999836326]
-c1ccc(-c2ncc(-c3cnc4[nH]ncc4c3)[nH]2)cc1; [None]; [None]; [0]
-OCCn1cc(-c2cnc3[nH]ncc3c2)cn1; ['Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; [0.99920851]
-c1cc(-c2cnc3[nH]ncc3c2)ncn1; [None]; [None]; [0]
-N[C@H](c1cnc2[nH]ncc2c1)c1ccco1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnc3[nH]ncc3c2)c1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3[nH]ncc3c2)c(Br)c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnc3[nH]ncc3c2)s1; ['Brc1cnc2[nH]ncc2c1']; ['Cc1csc(C)n1']; [0.973381758]
-c1cc2c(cc1-c1cnc3[nH]ncc3c1)CCC2; [None]; [None]; [0]
-c1ncc(-c2cnc3[nH]ncc3c2)o1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999313235]
-c1ccn2c(-c3cnc4[nH]ncc4c3)cnc2c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.998963833]
-c1cnn2c(-c3cnc4[nH]ncc4c3)cnc2c1; [None]; [None]; [0]
-CC(C)(C)Nc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Clc1cccc(-c2cnc3[nH]ncc3c2)c1Cl; [None]; [None]; [0]
-c1nc2[nH]ncc2cc1OC1CCCCC1; [None]; [None]; [0]
-Cc1ncc(-c2cnc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
-c1cncc(CNc2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['NCc1cccnc1']; [0.970061064]
-c1ccc2cc(-c3cnc4[nH]ncc4c3)ccc2c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc2ccccc2c1']; [0.999786437]
-COc1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['COc1cccc(B(O)O)c1']; [0.999429166]
-Nc1nccc(-c2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
-Clc1ccc(-c2cnc3[nH]ncc3c2)s1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc(Cl)s1']; [0.999895692]
-c1cncc(Nc2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['Nc1cccnc1']; [0.982278347]
-c1ccc2c(c1)ncn2-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['c1ccc2[nH]cnc2c1']; [0.889389515]
-C[C@H](CO)Nc1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['C[C@@H](N)CO']; [0.916861534]
-CC(C)COc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1ccc2c(-c3cnc4[nH]ncc4c3)cncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C']; [0.999981523]
-OCc1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C']; [0.999931812]
-O=C(Nc1cnc2[nH]ncc2c1)c1cccs1; [None]; [None]; [0]
-c1csc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1cccs1']; [0.999764]
-Oc1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C']; [0.996246278]
-c1cc(Nc2cnc3[nH]ncc3c2)ccn1; ['Brc1cnc2[nH]ncc2c1']; ['Nc1ccncc1']; [0.992554367]
-Cn1cncc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]ncc3c2)cn1; ['Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [0.999645948, 0.999645948]
-CC(C)Nc1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['CC(C)N']; [0.878476]
-c1coc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3[nH]ncc3c2)c(C(F)(F)F)c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999940038]
-CCC(=O)Nc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]ncc3c2)cc1Cl; ['Brc1cnc2[nH]ncc2c1']; ['COc1ccc(Br)cc1Cl']; [0.937105238]
-N#CCCc1cccc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; [0.99999392]
-CCC(=O)Nc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CCCn1cc(-c2cnc3[nH]ncc3c2)cn1; ['Brc1cnc2[nH]ncc2c1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999963403]
-Cc1cc(-c2cnc3[nH]ncc3c2)no1; [None]; [None]; [0]
-c1nocc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CCOC(=O)Cc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cnc4[nH]ncc4c3)c21; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['CS(=O)c1ccc(B(O)O)cc1']; [0.999835968]
-O=c1[nH]ccc2oc(-c3cnc4[nH]ncc4c3)cc12; [None]; [None]; [0]
-CCN(CC)c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-COc1ccncc1Nc1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['COc1ccncc1N']; [0.987996638]
-c1ccc2ncc(Nc3cnc4[nH]ncc4c3)cc2c1; ['Brc1cnc2[nH]ncc2c1']; ['Nc1cnc2ccccc2c1']; [0.974423]
-c1ccc2c(-c3cnc4[nH]ncc4c3)c[nH]c2c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cnc3[nH]ncc3c2)C1; [None]; [None]; [0]
-c1cc2c(-c3cnc4[nH]ncc4c3)c[nH]c2cn1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999992371]
-N#C[C@H]1CCOC[C@@H]1c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; [0.999969482, 0.999969482]
-NC(=O)c1c(F)cccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cnc4[nH]ncc4c3)[nH]c2c1; [None]; [None]; [0]
-Oc1ncccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]ncc3c2)c(OC)c1; ['Brc1cnc2[nH]ncc2c1']; ['COc1ccc(B(O)O)c(OC)c1']; [0.999652147]
-O=C(c1ccccc1)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999961257]
-c1cn(-c2cnc3[nH]ncc3c2)cn1; ['Brc1cnc2[nH]ncc2c1']; ['c1c[nH]cn1']; [0.967306197]
-c1cc(Cc2cnc3[nH]ncc3c2)ccn1; ['Brc1cnc2[nH]ncc2c1']; ['ClCc1ccncc1']; [0.84779197]
-Cc1cncc(-c2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2cnc3[nH]ncc3c2)s1; [None]; [None]; [0]
-c1nc2[nH]ncc2cc1OC1CCOCC1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['COc1cccc(F)c1B(O)O']; [0.999886036]
-Nc1nnc(-c2cnc3[nH]ncc3c2)s1; [None]; [None]; [0]
-c1cc(-c2cnc3[nH]ncc3c2)c2sccc2c1; [None]; [None]; [0]
-Nc1nc(-c2cnc3[nH]ncc3c2)nc2ccccc12; [None]; [None]; [0]
-c1ccc2sc(-c3cnc4[nH]ncc4c3)nc2c1; ['Brc1cnc2[nH]ncc2c1']; ['c1ccc2scnc2c1']; [0.999053419]
-COc1ccc(C#N)cc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1cncc(Cc2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-c1cnc2c(-c3cnc4[nH]ncc4c3)c[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)CNc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-CC(C)(C)Oc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(c4cnc5[nH]ncc5c4)CC3)nc2c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['Cc1cc(C)cc(B(O)O)c1']; [0.999597847]
-N#Cc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['N#Cc1ccc(B(O)O)cc1']; [0.999955535]
-CCOc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['CCOc1ccc(B(O)O)cc1']; [0.999908924]
-COc1ccc(OC)c(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['COc1ccc(OC)c(B(O)O)c1']; [0.998707056]
-CS(=O)(=O)c1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['CS(=O)(=O)c1cccc(B(O)O)c1']; [0.999910116]
-COc1ncccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['COc1ncccc1B(O)O']; [0.999209225]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cnc3[nH]ncc3c2)C1; ['Brc1cnc2[nH]ncc2c1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.999143124]
-COc1cc(-c2cnc3[nH]ncc3c2)cc(OC)c1OC; ['Brc1cnc2[nH]ncc2c1']; ['COc1cc(B(O)O)cc(OC)c1OC']; [0.995237708]
-Cc1nn(C)cc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; [0.999587715]
-Cc1n[nH]cc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; [0.999994278]
-Cc1cc(Nc2cnc3[nH]ncc3c2)sn1; ['Brc1cnc2[nH]ncc2c1']; ['Cc1cc(N)sn1']; [0.999252]
-c1ccc2[nH]c(-c3cnc4[nH]ncc4c3)nc2c1; [None]; [None]; [0]
-Cn1nncc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1cnc(Nc2cnc3[nH]ncc3c2)nc1; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['COc1ccc(B(O)O)cc1']; [0.999582231]
-Fc1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1cccc(F)c1']; [0.998684347]
-O=C(Nc1ccccc1)c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.99989748]
-O=C(Nc1cnc2[nH]ncc2c1)C1CC1; [None]; [None]; [0]
-c1ccc2c(Cc3cnc4[nH]ncc4c3)nccc2c1; [None]; [None]; [0]
-OCCOc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-Clc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc(Cl)cc1']; [0.999355495]
-c1cc(-c2cnc3[nH]ncc3c2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]ncc3c2)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['CN(C)c1ccc(B(O)O)cc1']; [0.999952555]
-c1cc(Nc2cnc3[nH]ncc3c2)ncn1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.999928474]
-Clc1ncc(-c2cnc3[nH]ncc3c2)cn1; [None]; [None]; [0]
-Oc1ccccc1Cc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-OC[C@@H](O)Cc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Brc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc(Br)cc1']; [0.997338235]
-c1ncc(-c2cnc3[nH]ncc3c2)cn1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1cncnc1']; [0.998482645]
-COc1ccc(Cc2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['COc1ccc(Cl)cc1B(O)O']; [0.99926883]
-c1cc2c(cc1-c1cnc3[nH]ncc3c1)CCO2; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc2c(c1)CCO2']; [0.99987781]
-c1n[nH]cc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1c[nH]c(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]ncc3c2)ccc1O; ['Brc1cnc2[nH]ncc2c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; [0.999988556]
-c1cn(Cc2cnc3[nH]ncc3c2)cn1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3[nH]ncc3c2)cc1F; ['Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C']; [0.999992609]
-c1ccc2cc(-c3cnc4[nH]ncc4c3)ncc2c1; [None]; [None]; [0]
-c1cc2c(c(-c3cnc4[nH]ncc4c3)c1)OCO2; [None]; [None]; [0]
-c1nc2[nH]ncc2cc1-c1scc2c1OCCO2; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-c1ccc2ncc(-c3cnc4[nH]ncc4c3)cc2c1; [None]; [None]; [0]
-COCCOc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CC1(COc2cnc3[nH]ncc3c2)COC1; ['Brc1cnc2[nH]ncc2c1']; ['CC1(CO)COC1']; [0.986990273]
-CSc1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['CSc1cccc(B(O)O)c1']; [0.987924695]
-O[C@@H]1CC[C@H](c2cnc3[nH]ncc3c2)C1; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]ncc3c2)nc(N)n1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3[nH]ncc3c2)c(Cl)c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc(F)cc1Cl']; [0.999260485]
-COc1ccc(-c2cnc3[nH]ncc3c2)cc1OC; ['Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; [0.999997, 0.999997]
-CCc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1']; [0.999995, 0.999995]
-O[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-Clc1ccc(-c2cnc3[nH]ncc3c2)c(Cl)c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.999408484]
-Brc1cnc(-c2cnc3[nH]ncc3c2)nc1; [None]; [None]; [0]
-c1cc(-c2cnc3[nH]ncc3c2)cs1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccsc1']; [0.999798596]
-COc1ccc(CNc2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['COc1ccc(CN)cc1']; [0.855455101]
-COc1ccc2cccc(-c3cnc4[nH]ncc4c3)c2c1; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]ncc3c2)ccc1Cl; ['Brc1cnc2[nH]ncc2c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl']; [0.999999523]
-Oc1ccc2cccc(-c3cnc4[nH]ncc4c3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]ncc3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1nc(Nc2cnc3[nH]ncc3c2)sc1C; [None]; [None]; [0]
-Cc1ccc(-c2cnc3[nH]ncc3c2)o1; [None]; [None]; [0]
-COc1cc(F)c(-c2cnc3[nH]ncc3c2)cc1OC; [None]; [None]; [0]
-Cc1cc(Nc2cnc3[nH]ncc3c2)nn1C; ['Brc1cnc2[nH]ncc2c1']; ['Cc1cc(N)nn1C']; [0.993818104]
-c1cc2cn[nH]c2cc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999897838]
-COc1cc(OC)cc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['COc1cc(OC)cc(B(O)O)c1']; [0.999472439]
-COc1cc(-c2cnc3[nH]ncc3c2)c(OC)cc1Br; [None]; [None]; [0]
-CCn1cc(-c2cnc3[nH]ncc3c2)cn1; ['Brc1cnc2[nH]ncc2c1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.99983108]
-COC(=O)Nc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1ccc2oc(-c3cnc4[nH]ncc4c3)cc2c1; [None]; [None]; [0]
-CC(C)Oc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['CNC(=O)c1ccc(B(O)O)cc1']; [0.999937057]
-FC(F)(F)Oc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999996305]
-CCc1cccc(-c2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
-c1nc(-c2cnc3[nH]ncc3c2)cs1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-OCCc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-Fc1ccc(Nc2cnc3[nH]ncc3c2)nc1; ['Brc1cnc2[nH]ncc2c1']; ['Nc1ccc(F)cn1']; [0.966048777]
-c1ccc(Nc2cnc3[nH]ncc3c2)nc1; ['Brc1cnc2[nH]ncc2c1']; ['Nc1ccccn1']; [0.981515]
-Cc1ccc(-c2cnc3[nH]ncc3c2)nc1C; [None]; [None]; [0]
-Oc1ccc(-c2nccs2)cc1; ['Brc1nccs1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C']; [0.999927402]
-c1cc(-c2nccs2)ccn1; ['Brc1nccs1', 'Brc1ccncc1']; ['OB(O)c1ccncc1', 'Brc1nccs1']; [0.997960567, 0.997960567]
-c1cc(-c2nccs2)c2cccnc2c1; ['Brc1nccs1']; ['OB(O)c1cccc2ncccc12']; [0.999954104]
-CCc1ccc(-c2nccs2)cc1; ['Brc1nccs1', 'Brc1nccs1', 'Brc1nccs1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; [0.999995828, 0.999995828, 0.999995828]
-COc1cc(N2CCNCC2)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; [0.88927561]
-Oc1cc(-c2nccs2)ccc1Cl; [None]; [None]; [0]
-Cn1cc(-c2nccs2)cn1; ['Brc1nccs1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999982238]
-c1ccc2c(-c3nccs3)n[nH]c2c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1nccs1; ['CCOC(CBr)OCC', 'COC(CBr)OC', 'Brc1nccs1', 'Clc1cccc(Cl)c1I', 'Brc1nccs1']; ['NC(=S)c1c(Cl)cccc1Cl', 'NC(=S)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'c1cscn1', 'Clc1cccc(Cl)c1']; [0.999652505, 0.999652505, 0.999652505, 0.999652505, 0.999652505]
-c1csc(-c2cn[nH]c2)n1; ['Brc1nccs1']; ['OB(O)c1cn[nH]c1']; [0.998670697]
-Fc1cccc(F)c1-c1nccs1; ['Brc1nccs1', 'Brc1nccs1']; ['CC1(C)OB(c2c(F)cccc2F)OC1(C)C', 'OB(O)c1c(F)cccc1F']; [0.999987483, 0.999987483]
-CNS(=O)(=O)c1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2nccs2)cc1; ['Clc1nccs1']; ['Oc1ccc(F)cc1']; [0.994453371]
-Oc1ccc(-c2nccs2)c(Cl)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-Cc1ncc(-c2nccs2)[nH]1; [None]; [None]; [0]
-Clc1ccccc1-c1nccs1; ['CCOC(CBr)OCC', 'COC(CBr)OC', 'Brc1nccs1']; ['NC(=S)c1ccccc1Cl', 'NC(=S)c1ccccc1Cl', 'Clc1ccccc1I']; [0.999988675, 0.999988675, 0.999988675]
-O[C@H]1C[C@@H](c2nccs2)C1; [None]; [None]; [0]
-COc1cc(-c2nccs2)ccc1O; ['COc1cc(I)ccc1O']; ['c1cscn1']; [0.890378535]
-Nc1nccc(-c2nccs2)n1; [None]; [None]; [0]
-N#Cc1cnc(-c2nccs2)cn1; ['N#Cc1cnc(Br)cn1']; ['c1cscn1']; [0.995695472]
-c1csc(-c2cc[nH]c2)n1; [None]; [None]; [0]
-c1cnc(-c2nccs2)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2nccs2)cc1; ['Brc1nccs1', 'Brc1nccs1']; ['N#Cc1ccc(B(O)O)cc1', 'N#Cc1ccc(I)cc1']; [0.999937892, 0.999937892]
-c1csc(-c2ccoc2)n1; ['Brc1nccs1']; ['CC1(C)OB(c2ccoc2)OC1(C)C']; [0.999986053]
-Clc1cccc(OCc2nccs2)c1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2nccs2)o1; [None]; [None]; [0]
-N#Cc1ccc(-c2nccs2)cn1; ['Brc1nccs1']; ['N#Cc1ccc(B(O)O)cn1']; [0.999806464]
-COc1cc(CCc2nccs2)ccc1O; [None]; [None]; [0]
-Brc1cccc(-c2nccs2)c1; ['Br[Zn]c1nccs1']; ['Brc1cccc(I)c1']; [0.99758935]
-OCCCc1nccs1; []; []; []
-COC(=O)c1ccc(Cl)c(-c2nccs2)c1; ['Brc1nccs1']; ['COC(=O)c1ccc(Cl)c(I)c1']; [0.999947071]
-Oc1ccc(-c2nccs2)c(O)c1; [None]; [None]; [0]
-c1csc(-c2nccs2)c1; [None]; [None]; [0]
-Clc1ccccc1OCc1nccs1; ['OCc1nccs1']; ['Oc1ccccc1Cl']; [0.988043487]
-Fc1ccc(-c2nccs2)cc1Cl; ['CCOC(CBr)OCC', 'Brc1nccs1']; ['NC(=S)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1']; [0.999997377, 0.999997377]
-Cc1ccc(-c2nccs2)cc1C; ['Br[Zn]c1nccs1', 'Brc1nccs1']; ['Cc1ccc(I)cc1C', 'Cc1ccc(B(O)O)cc1C']; [0.999686241, 0.999686241]
-c1cc(-c2nccs2)ncn1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1nccs1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1nccs1; [None]; [None]; [0]
-Oc1ncc(-c2nccs2)cc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1nccs1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2nccs2)c1; ['Br[Zn]c1nccs1', 'Brc1nccs1']; ['COc1cc(I)cc(OC)c1', 'COc1cc(I)cc(OC)c1']; [0.998647392, 0.998647392]
-COc1ccc(-c2nccs2)cc1OC; ['Brc1nccs1', 'Brc1nccs1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; [0.999988317, 0.999988317]
-Oc1ccc(Cl)c(-c2nccs2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2nccs2)cc1; ['Brc1nccs1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999690175]
-NC(=O)Nc1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-Oc1cncc(-c2nccs2)c1; [None]; [None]; [0]
-O=C1Cc2cc(-c3nccs3)ccc2N1; ['Brc1nccs1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; [0.999560893]
-O=c1ccccn1Cc1nccs1; [None]; [None]; [0]
-Cc1nc2ccc(-c3nccs3)cc2[nH]1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1nccs1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1nccs1; [None]; [None]; [0]
-c1ccc2sc(-c3nccs3)nc2c1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1nccs1; ['Brc1nccs1']; ['Cc1cccc(C)c1B(O)O']; [0.997940719]
-NC(=O)[C@H]1CC[C@@H](c2nccs2)CC1; [None]; [None]; [0]
-c1cn(-c2nccs2)cn1; [None]; [None]; [0]
-c1csc(-c2nccs2)n1; ['Brc1nccs1']; ['Brc1nccs1']; [0.949252605]
-Cc1cc(O)ccc1-c1nccs1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2nccs2)cc1Cl; [None]; [None]; [0]
-Cn1ncc(N)c1-c1nccs1; [None]; [None]; [0]
-CCc1sccc1-c1nccs1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3nccs3)cc2[nH]1; [None]; [None]; [0]
-c1csc(-c2ccc3c(c2)CCN3)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1nccs1; [None]; [None]; [0]
-Cc1ccc(-c2nccs2)c(C)n1; ['Brc1nccs1']; ['Cc1ccc(Br)c(C)n1']; [0.861123323]
-Cc1ccc(-c2nccs2)nc1C; [None]; [None]; [0]
-c1cc(Nc2nccs2)ccn1; []; []; []
-Cc1nc2ccc(-c3nccs3)cc2o1; ['Cc1nc2ccc(Br)cc2o1']; ['c1cscn1']; [0.99964726]
-c1csc(-c2cnco2)n1; [None]; [None]; [0]
-Cc1csc(-c2nccs2)n1; [None]; [None]; [0]
-CSc1cccc(-c2nccs2)c1; ['CSc1cccc(B(O)O)c1']; ['Clc1nccs1']; [0.980421603]
-O=c1[nH][nH]c2cc(-c3nccs3)ccc12; ['O=c1[nH][nH]c2cc(Br)ccc12']; ['c1cscn1']; [0.997728646]
-Fc1ccc(Oc2nccs2)c(F)c1; ['Brc1nccs1']; ['Oc1ccc(F)cc1F']; [0.999343097]
-Fc1ccccc1Oc1nccs1; ['Clc1nccs1']; ['Oc1ccccc1F']; [0.996101]
-Oc1cc(Br)cc(-c2nccs2)c1; [None]; [None]; [0]
-Fc1ccc(Cc2nccs2)cc1; ['CCOC(CBr)OCC', 'NC(=S)Cc1ccc(F)cc1']; ['NC(=S)Cc1ccc(F)cc1', 'O=CCCl']; [0.999816477, 0.999816477]
-Fc1cccc(Cl)c1CNc1nccs1; ['Nc1nccs1', 'Clc1nccs1', 'Fc1cccc(Cl)c1CBr', 'Nc1nccs1']; ['O=Cc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'Nc1nccs1', 'OCc1c(F)cccc1Cl']; [0.999983191, 0.999983191, 0.999983191, 0.999983191]
-Oc1c(F)cc(-c2nccs2)cc1F; [None]; [None]; [0]
-c1ccc(COc2nccs2)cc1; ['Clc1nccs1']; ['OCc1ccccc1']; [0.995420396]
-COc1ncccc1-c1nccs1; ['Brc1nccs1']; ['COc1ncccc1B(O)O']; [0.935279191]
-Cc1n[nH]cc1-c1nccs1; [None]; [None]; [0]
-Fc1ccc(-c2nccs2)c(Cl)c1; ['Brc1nccs1']; ['OB(O)c1ccc(F)cc1Cl']; [0.999886274]
-COc1cc(-c2nccs2)cc(OC)c1OC; ['Brc1nccs1', 'COc1cc(Br)cc(OC)c1OC']; ['COc1cc(I)cc(OC)c1OC', 'c1cscn1']; [0.992799282, 0.992799282]
-CCOc1ccc(-c2nccs2)cc1; ['Brc1nccs1', 'Brc1nccs1', 'CCOc1ccc(Br)cc1', 'Brc1nccs1']; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'c1cscn1', 'CCOc1ccc(I)cc1']; [0.999997258, 0.999997258, 0.999997258, 0.999997258]
-Cn1nncc1-c1nccs1; [None]; [None]; [0]
-Oc1cccc(-c2nccs2)c1; ['Brc1nccs1']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C']; [0.99987781]
-CS(=O)(=O)c1cccc(-c2nccs2)c1; ['Brc1nccs1', 'Brc1nccs1', 'Br[Zn]c1nccs1']; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1']; [0.999998927, 0.999998927, 0.999998927]
-c1cnn2c(-c3nccs3)cnc2c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1nccs1; [None]; [None]; [0]
-COc1ccc(-c2nccs2)cc1; ['Br[Zn]c1nccs1', 'COc1ccc(C(N)=S)cc1']; ['COc1ccc(I)cc1', 'O=CCCl']; [0.999700785, 0.999700785]
-Cc1cc(Nc2nccs2)sn1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3nccs3)nc2c1; [None]; [None]; [0]
-c1cnc(Nc2nccs2)nc1; ['CCOC(CBr)OCC']; ['NC(=S)Nc1ncccn1']; [0.999900937]
-Fc1cccc(-c2nccs2)c1; ['Brc1nccs1', 'Brc1nccs1', 'Brc1nccs1']; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C', 'Fc1cccc(I)c1', 'OB(O)c1cccc(F)c1']; [0.999982, 0.999982, 0.999982]
-O=C(Nc1ccccc1)c1ccc(-c2nccs2)cc1; ['Brc1nccs1']; ['O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999993205]
-O=C(Nc1nccs1)C1CC1; ['Nc1nccs1']; ['O=C(Cl)C1CC1']; [0.999806702]
-OCCOc1ccc(-c2nccs2)cc1; ['OCCBr']; ['Oc1ccc(-c2nccs2)cc1']; [0.997866333]
-c1ccc2c(Cc3nccs3)nccc2c1; ['Cc1nccs1']; ['c1ccc2cnccc2c1']; [0.765004098]
-Clc1ccc(-c2nccs2)cc1; ['Br[Zn]c1nccs1', 'Brc1nccs1', 'Clc1ccc(Br)cc1']; ['Clc1ccc(I)cc1', 'OB(O)c1ccc(Cl)cc1', 'c1cscn1']; [0.999645352, 0.999645352, 0.999645352]
-c1cc(-c2nccs2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-c1cc(Nc2nccs2)ncn1; ['Clc1ccncn1']; ['Nc1nccs1']; [0.998377919]
-Cc1cc(-c2nccs2)nn1C; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2nccs2)cc1; ['CCOC(CBr)OCC', 'FC(F)(F)c1ccc(Br)cc1']; ['NC(=S)c1ccc(C(F)(F)F)cc1', 'c1cscn1']; [0.999907851, 0.999907851]
-C[C@H](O)COc1ccc(-c2nccs2)cc1; ['C[C@H](O)CO']; ['Oc1ccc(-c2nccs2)cc1']; [0.992973208]
-CN(C)c1ccc(-c2nccs2)cc1; ['CN(C)c1ccc(Br)cc1']; ['c1cscn1']; [0.993768692]
-Cc1nc(C)c(-c2nccs2)s1; [None]; [None]; [0]
-Oc1ccccc1Cc1nccs1; [None]; [None]; [0]
-c1cc(Cc2nccs2)ccn1; [None]; [None]; [0]
-OC[C@@H](O)Cc1nccs1; [None]; [None]; [0]
-Clc1ncc(-c2nccs2)cn1; ['Clc1nccs1', 'Brc1nccs1']; ['OB(O)c1cnc(Cl)nc1', 'OB(O)c1cnc(Cl)nc1']; [0.998696148, 0.998696148]
-Brc1ccc(-c2nccs2)cc1; ['Brc1nccs1', 'COC(CBr)OC', 'Brc1nccs1', 'Brc1ccc(I)cc1']; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'NC(=S)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Brc1nccs1']; [0.999919772, 0.999919772, 0.999919772, 0.999919772]
-c1cncc(Cc2nccs2)c1; [None]; [None]; [0]
-c1ncc(-c2nccs2)cn1; ['Brc1nccs1', 'Brc1nccs1']; ['CC1(C)OB(c2cncnc2)OC1(C)C', 'OB(O)c1cncnc1']; [0.999967098, 0.999967098]
-COc1ccc(Cc2nccs2)cc1; [None]; [None]; [0]
-c1ccc2c(-c3nccs3)c[nH]c2c1; [None]; [None]; [0]
-c1cn(Cc2nccs2)cn1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1nccs1; ['Brc1nccs1']; ['COc1ccc(Cl)cc1B(O)O']; [0.999904394]
-c1c[nH]c(-c2nccs2)c1; ['Brc1nccs1']; ['c1cc[nH]c1']; [0.977111518]
-c1csc(-c2ccc3c(c2)CCO3)n1; ['Br[Zn]c1nccs1', 'Brc1ccc2c(c1)CCO2']; ['Ic1ccc2c(c1)CCO2', 'c1cscn1']; [0.999850154, 0.999850154]
-CC(=O)Nc1cccc(-c2nccs2)c1; ['CC(=O)Nc1cccc(Br)c1']; ['c1cscn1']; [0.996972084]
-Fc1ccc(-c2nccs2)cc1F; ['Brc1nccs1', 'Fc1ccc(Br)cc1F', 'Brc1nccs1', 'Fc1ccc(I)cc1F']; ['CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C', 'c1cscn1', 'OB(O)c1ccc(F)c(F)c1', 'c1cscn1']; [0.999999762, 0.999999762, 0.999999762, 0.999999762]
-c1ccc2cc(-c3nccs3)ncc2c1; [None]; [None]; [0]
-c1cc2c(c(-c3nccs3)c1)OCO2; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nccs2)cc1; ['Brc1nccs1', 'CC(C)(C)c1ccc(Br)cc1']; ['CC(C)(C)c1ccc(I)cc1', 'c1cscn1']; [0.998703361, 0.998703361]
-COCCOc1nccs1; ['COCCO']; ['Clc1nccs1']; [0.98123014]
-c1csc(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
-CC1(COc2nccs2)COC1; ['CC1(CO)COC1']; ['Clc1nccs1']; [0.963924825]
-c1ccc2ncc(-c3nccs3)cc2c1; ['Brc1nccs1', 'Brc1cnc2ccccc2c1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1nccs1']; [0.999998212, 0.999998212]
-c1coc(-c2nccs2)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2nccs2)CC1; [None]; [None]; [0]
-Cc1cc(-c2nccs2)nc(N)n1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2nccs2)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1nccs1; [None]; [None]; [0]
-Clc1ccc(-c2nccs2)c(Cl)c1; ['COC(CBr)OC', 'CCOC(CBr)OCC']; ['NC(=S)c1ccc(Cl)cc1Cl', 'NC(=S)c1ccc(Cl)cc1Cl']; [0.999994278, 0.999994278]
-Brc1cnc(-c2nccs2)nc1; [None]; [None]; [0]
-c1csc(-c2ccsc2)n1; ['Brc1nccs1']; ['OB(O)c1ccsc1']; [0.999744833]
-Cc1cc(C)cc(-c2nccs2)c1; ['Brc1nccs1']; ['Cc1cc(C)cc(B(O)O)c1']; [0.99908793]
-COc1ccc(CNc2nccs2)cc1; ['CCOC(Cl)CCl', 'COc1ccc(CO)cc1', 'COc1ccc(C=O)cc1']; ['COc1ccc(CNC(N)=S)cc1', 'Nc1nccs1', 'Nc1nccs1']; [0.999990463, 0.999990463, 0.999990463]
-COc1ccc2cccc(-c3nccs3)c2c1; [None]; [None]; [0]
-COc1cc(-c2nccs2)ccc1Cl; ['Brc1nccs1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl']; [0.999999881]
-Cn1cc(-c2nccs2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(F)c(-c2nccs2)cc1OC; ['Brc1nccs1']; ['COc1ccc(F)cc1OC']; [0.966012597]
-Oc1ccc2cccc(-c3nccs3)c2c1; [None]; [None]; [0]
-Cc1ccc(-c2nccs2)o1; [None]; [None]; [0]
-COc1cc(-c2nccs2)c(OC)cc1Br; [None]; [None]; [0]
-CC(C)Oc1nccs1; ['CC(C)O']; ['Clc1nccs1']; [0.99148494]
-Cc1nc(Nc2nccs2)sc1C; [None]; [None]; [0]
-COC(=O)Nc1nccs1; ['COC(=O)Cl']; ['Nc1nccs1']; [0.997726142]
-c1csc(-c2ccc3cn[nH]c3c2)n1; ['Brc1nccs1']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999921322]
-CCn1cc(-c2nccs2)cn1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2nccs2)cc1; ['FC(F)(F)Oc1ccc(Br)cc1']; ['c1cscn1']; [0.99987793]
-CCc1cccc(-c2nccs2)n1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2nccs2)c1; [None]; [None]; [0]
-c1ccc2oc(-c3nccs3)cc2c1; [None]; [None]; [0]
-c1csc(-c2cscn2)n1; ['Brc1cscn1']; ['c1cscn1']; [0.893515]
-OCCc1ccc(-c2nccs2)cc1; ['OCCc1ccc(Br)cc1']; ['c1cscn1']; [0.964099]
-c1ccc(Nc2nccs2)nc1; ['NC(=S)Nc1ccccn1']; ['O=CCCl']; [0.996730447]
-Fc1ccc(Nc2nccs2)nc1; ['Fc1ccc(Cl)nc1', 'Brc1nccs1']; ['Nc1nccs1', 'Nc1ccc(F)cn1']; [0.999845862, 0.999845862]
-COc1cc(N2CCNCC2)ccc1-c1nccs1; [None]; [None]; [0]
-c1cc(-c2cnccn2)ccn1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'Brc1ccncc1']; ['Clc1cnccn1', 'c1cnccn1']; [0.99996078, 0.99996078]
-Oc1ccc(-c2cnccn2)cc1; ['Brc1cnccn1', 'Clc1cnccn1']; ['OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1']; [0.999956, 0.999956]
-c1cc(-c2cnccn2)c2cccnc2c1; ['Clc1cnccn1']; ['OB(O)c1cccc2ncccc12']; [0.999798477]
-CCc1ccc(-c2cnccn2)cc1; ['CCc1ccc(B(O)O)cc1']; ['Clc1cnccn1']; [0.999833703]
-CS(=O)(=O)c1ccc(Cl)c(-c2nccs2)c1; [None]; [None]; [0]
-Cn1cc(-c2cnccn2)cn1; ['Clc1cnccn1', 'Brc1cnccn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [0.999974847, 0.999974847]
-c1cnc(-c2cn[nH]c2)cn1; ['Brc1cnccn1', 'Brc1cnccn1']; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'OB(O)c1cn[nH]c1']; [0.999953032, 0.999953032]
-Fc1cccc(F)c1-c1cnccn1; ['Clc1cnccn1']; ['OB(O)c1c(F)cccc1F']; [0.999923825]
-Oc1cc(-c2cnccn2)ccc1Cl; [None]; [None]; [0]
-Fc1ccc(Oc2cnccn2)cc1; ['Clc1cnccn1', 'Brc1cnccn1']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.999042928, 0.999042928]
-c1ccc2c(-c3cnccn3)n[nH]c2c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cnccn1; ['Clc1cccc(Cl)c1Br']; ['c1cnccn1']; [0.969475508]
-CNS(=O)(=O)c1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-Oc1ccc(-c2cnccn2)c(Cl)c1; [None]; [None]; [0]
-Cc1ncc(-c2cnccn2)[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnccn2)cc1; ['Clc1cnccn1']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999947429]
-Clc1ccccc1-c1cnccn1; ['Ic1cnccn1']; ['OB(O)c1ccccc1Cl']; [0.999928474]
-Nc1nccc(-c2cnccn2)n1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cnccn2)C1; [None]; [None]; [0]
-COc1cc(-c2cnccn2)ccc1O; ['Brc1cnccn1', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Clc1cnccn1']; [0.999993801, 0.999993801]
-N#Cc1cnc(-c2cnccn2)cn1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnccn2)o1; ['Brc1cnccn1']; ['COC(=O)c1ccco1']; [0.909213066]
-c1cnc(-c2cc[nH]c2)cn1; [None]; [None]; [0]
-c1cnc(-c2cnccn2)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnccn2)cc1; ['CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C', 'Clc1cnccn1', 'N#Cc1ccc(B(O)O)cc1']; ['Clc1cnccn1', 'N#Cc1ccc(B(O)O)cc1', 'c1cnccn1']; [0.999999762, 0.999999762, 0.999999762]
-N#Cc1ccc(-c2cnccn2)cn1; ['Clc1cnccn1', 'Brc1cnccn1']; ['N#Cc1ccc(B(O)O)cn1', 'N#Cc1ccc(B(O)O)cn1']; [0.999991655, 0.999991655]
-c1cnc(-c2ccoc2)cn1; ['Clc1cnccn1']; ['OB(O)c1ccoc1']; [0.999905]
-COc1cc(CCc2cnccn2)ccc1O; ['COc1cc(CO)ccc1O']; ['Cc1cnccn1']; [0.988987505]
-Clc1cccc(OCc2cnccn2)c1; ['OCc1cnccn1']; ['Oc1cccc(Cl)c1']; [0.999694]
-Brc1cccc(-c2cnccn2)c1; ['Brc1cccc(Br)c1']; ['c1cnccn1']; [0.93436265]
-c1csc(-c2cnccn2)c1; ['Brc1cnccn1']; ['OB(O)c1cccs1']; [0.999985218]
-Oc1ccc(-c2cnccn2)c(O)c1; [None]; [None]; [0]
-OCCCc1cnccn1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnccn2)c1; ['Brc1cnccn1']; ['COC(=O)c1ccc(Cl)c(I)c1']; [0.999993205]
-Clc1ccccc1OCc1cnccn1; [None]; [None]; [0]
-c1cc(-c2cnccn2)ncn1; [None]; [None]; [0]
-Fc1ccc(-c2cnccn2)cc1Cl; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Clc1cnccn1', 'Clc1cnccn1']; ['Ic1cnccn1', 'Clc1cnccn1', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl']; [0.999999881, 0.999999881, 0.999999881, 0.999999881]
-Cc1ccc(-c2cnccn2)cc1C; ['Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1C']; ['Clc1cnccn1']; [0.999992371]
-Cc1ccc(O)cc1-c1cnccn1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cnccn1; [None]; [None]; [0]
-Oc1ncc(-c2cnccn2)cc1Cl; ['Clc1cnccn1']; ['Oc1ncccc1Cl']; [0.901227355]
-Cc1ccc(CO)cc1-c1cnccn1; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2cnccn2)c1; [None]; [None]; [0]
-COc1ccc(-c2cnccn2)cc1OC; ['COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC']; ['Clc1cnccn1', 'c1cnccn1']; [0.998888195, 0.998888195]
-COc1cc(OC)cc(-c2cnccn2)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Clc1cnccn1', 'Clc1cnccn1', 'c1cnccn1']; [0.999896049, 0.999896049, 0.999896049]
-NC(=O)Nc1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnccn2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1cnccn1']; [0.999998927]
-O=c1ccccn1Cc1cnccn1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cnccn3)ccc2N1; ['Clc1cnccn1']; ['O=C1Cc2cc(Br)ccc2N1']; [0.991710365]
-Cc1nc2ccc(-c3cnccn3)cc2[nH]1; [None]; [None]; [0]
-c1ccc2sc(-c3cnccn3)nc2c1; ['Nc1ccccc1S']; ['O=Cc1cnccn1']; [0.999974847]
-Oc1cncc(-c2cnccn2)c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnccn1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cnccn2)CC1; [None]; [None]; [0]
-c1cnc(-n2ccnc2)cn1; ['Clc1cnccn1']; ['c1c[nH]cn1']; [0.999679685]
-C[C@H](CC(N)=O)c1cnccn1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnccn1; ['Brc1cnccn1']; ['Cc1cc(O)ccc1B(O)O']; [0.999890685]
-Cc1cccc(C)c1-c1cnccn1; ['Cc1cccc(C)c1[Mg]Br']; ['Clc1cnccn1']; [0.997686505]
-CCc1sccc1-c1cnccn1; [None]; [None]; [0]
-c1cnc(-c2ccc3c(c2)CCN3)cn1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3cnccn3)cc2[nH]1; ['O=c1[nH]c2ccc(Br)cc2[nH]1']; ['c1cnccn1']; [0.98868984]
-Fc1cc(Br)ccc1-c1cnccn1; ['Brc1cnccn1']; ['OB(O)c1ccc(Br)cc1F']; [0.999864817]
-c1cc(Nc2cnccn2)ccn1; ['Clc1cnccn1']; ['Nc1ccncc1']; [0.996474922]
-Oc1c(Cl)cc(-c2cnccn2)cc1Cl; [None]; [None]; [0]
-Cc1csc(-c2cnccn2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cnccn2)nc1C; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2cnccn2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cnccn2)c(C)n1; ['Cc1ccc(Br)c(C)n1']; ['c1cnccn1']; [0.929497]
-c1cnc(-c2cnco2)cn1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnccn3)cc2o1; [None]; [None]; [0]
-Oc1c(F)cc(-c2cnccn2)cc1F; [None]; [None]; [0]
-CSc1cccc(-c2cnccn2)c1; ['CSc1cccc(B(O)O)c1']; ['Clc1cnccn1']; [0.999808]
-c1ccc(COc2cnccn2)cc1; ['Fc1cnccn1']; ['OCc1ccccc1']; [0.988023818]
-O=c1[nH][nH]c2cc(-c3cnccn3)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2cnccn2)c(Cl)c1; ['Clc1cnccn1']; ['OB(O)c1ccc(F)cc1Cl']; [0.9998914]
-Fc1ccc(Oc2cnccn2)c(F)c1; ['Clc1cnccn1', 'Brc1cnccn1']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.999959588, 0.999959588]
-Fc1ccccc1Oc1cnccn1; ['Brc1cnccn1']; ['Oc1ccccc1F']; [0.999861956]
-CCOc1ccc(-c2cnccn2)cc1; ['CCOc1ccc([Mg]Br)cc1']; ['Clc1cnccn1']; [0.995978236]
-Fc1ccc(Cc2cnccn2)cc1; ['Fc1ccc(Br)cc1']; ['O=C([O-])Cc1cnccn1']; [0.904771924]
-Fc1cccc(Cl)c1CNc1cnccn1; ['Brc1cnccn1', 'Fc1cccc(Cl)c1CBr']; ['NCc1c(F)cccc1Cl', 'Nc1cnccn1']; [0.999998212, 0.999998212]
-Cc1n[nH]cc1-c1cnccn1; ['Brc1cnccn1']; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; [0.999755681]
-CS(=O)(=O)c1cccc(-c2cnccn2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C']; ['Clc1cnccn1']; [0.999999642]
-COc1ncccc1-c1cnccn1; ['Brc1cnccn1', 'COc1ncccc1B(O)O']; ['COc1ncccc1B(O)O', 'Clc1cnccn1']; [0.997585416, 0.997585416]
-Cc1nn(C)cc1-c1cnccn1; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Clc1cnccn1']; [0.999983788]
-COc1cc(-c2cnccn2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC', 'COc1cc([Mg]Br)cc(OC)c1OC']; ['Clc1cnccn1', 'Clc1cnccn1']; [0.999255121, 0.999255121]
-Cn1nncc1-c1cnccn1; [None]; [None]; [0]
-COc1ccc(-c2cnccn2)cc1; ['COc1ccc([Mg]Br)cc1']; ['Clc1cnccn1']; [0.990110695]
-Oc1cccc(-c2cnccn2)c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Clc1cnccn1']; ['Ic1cnccn1', 'OB(O)c1cccc(O)c1']; [0.999700904, 0.999700904]
-c1cnc(Nc2cnccn2)nc1; ['Clc1ncccn1']; ['Nc1cnccn1']; [0.953086495]
-Cc1cc(Nc2cnccn2)sn1; ['Cc1cc(N)sn1']; ['Clc1cnccn1']; [0.999796689]
-c1ccc2c(Cc3cnccn3)nccc2c1; ['Cc1nccc2ccccc12']; ['c1cnccn1']; [0.777891159]
-Fc1cccc(-c2cnccn2)c1; ['OB(O)c1cccc(F)c1', 'Clc1cnccn1']; ['c1cnccn1', 'Fc1cccc([Mg]Br)c1']; [0.99972266, 0.99972266]
-c1cnn2c(-c3cnccn3)cnc2c1; [None]; [None]; [0]
-Clc1ccc(-c2cnccn2)cc1; ['Clc1cnccn1']; ['OB(O)c1ccc(Cl)cc1']; [0.999570549]
-c1ccc2[nH]c(-c3cnccn3)nc2c1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['O=C(O)c1cnccn1', 'O=Cc1cnccn1']; [0.998297393, 0.998297393]
-O=C(Nc1ccccc1)c1ccc(-c2cnccn2)cc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C']; ['Clc1cnccn1']; [0.999999404]
-c1cc(Nc2cnccn2)ncn1; ['Ic1cnccn1', 'Clc1ccncn1']; ['Nc1ccncn1', 'Nc1cnccn1']; [0.998737395, 0.998737395]
-O=C(Nc1cnccn1)C1CC1; ['Nc1cnccn1', 'Nc1cnccn1']; ['O=C(O)C1CC1', 'O=C(Cl)C1CC1']; [0.999984622, 0.999984622]
-OCCOc1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-c1cc(-c2cnccn2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-Cc1cc(-c2cnccn2)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnccn2)cc1; ['Brc1cnccn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnccn1', 'Clc1cnccn1', 'Clc1cnccn1']; [0.999999285, 0.999999285, 0.999999285, 0.999999285]
-c1cc(Cc2cnccn2)ccn1; ['Brc1ccncc1', 'Brc1ccncc1']; ['Cc1cnccn1', 'O=C([O-])Cc1cnccn1']; [0.979959965, 0.979959965]
-Cc1nc(C)c(-c2cnccn2)s1; ['Brc1cnccn1']; ['Cc1csc(C)n1']; [0.999172866]
-C[C@H](O)COc1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-Clc1ncc(-c2cnccn2)cn1; ['Brc1cnccn1']; ['OB(O)c1cnc(Cl)nc1']; [0.999968529]
-OC[C@@H](O)Cc1cnccn1; [None]; [None]; [0]
-Brc1ccc(-c2cnccn2)cc1; ['Clc1cnccn1']; ['OB(O)c1ccc(Br)cc1']; [0.999921918]
-COc1ccc(Cc2cnccn2)cc1; ['COc1ccc(Br)cc1']; ['O=C([O-])Cc1cnccn1']; [0.845190883]
-Oc1ccccc1Cc1cnccn1; [None]; [None]; [0]
-c1ccc2c(-c3cnccn3)c[nH]c2c1; ['Clc1cnccn1']; ['c1ccc2[nH]ccc2c1']; [0.971418858]
-c1c[nH]c(-c2cnccn2)c1; [None]; [None]; [0]
-c1cncc(Cc2cnccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cncnc2)cn1; [None]; [None]; [0]
-c1cnc(Cn2ccnc2)cn1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cnccn1; ['COc1ccc(Cl)cc1B(O)O']; ['Clc1cnccn1']; [0.99918896]
-c1cnc(-c2ccc3c(c2)CCO3)cn1; ['Clc1cnccn1']; ['OB(O)c1ccc2c(c1)CCO2']; [0.999973655]
-c1ccc2cc(-c3cnccn3)ncc2c1; ['Brc1cnccn1']; ['Clc1cc2ccccc2cn1']; [0.999060214]
-CC(=O)Nc1cccc(-c2cnccn2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1cnccn1']; [0.999723852]
-Fc1ccc(-c2cnccn2)cc1F; ['OB(O)c1ccc(F)c(F)c1']; ['c1cnccn1']; [0.999972582]
-c1cc2c(c(-c3cnccn3)c1)OCO2; [None]; [None]; [0]
-COCCOc1cnccn1; ['Brc1cnccn1', 'COCCO', 'COCCO', 'COCC[O-]']; ['COCCO', 'Fc1cnccn1', 'Clc1cnccn1', 'Clc1cnccn1']; [0.999041378, 0.999041378, 0.999041378, 0.999041378]
-c1cnc(-c2scc3c2OCCO3)cn1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnccn2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Clc1cnccn1', 'Clc1cnccn1']; [0.999999046, 0.999999046]
-CC1(COc2cnccn2)COC1; ['CC1(CO)COC1', 'Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1']; ['Clc1cnccn1', 'Oc1cnccn1']; [0.995987475, 0.995987475]
-c1ccc2ncc(-c3cnccn3)cc2c1; ['Brc1cnccn1', 'Clc1cnccn1']; ['OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1']; [0.999982238, 0.999982238]
-Cc1cc(-c2cnccn2)nc(N)n1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cnccn2)CC1; [None]; [None]; [0]
-c1coc(-c2cnccn2)c1; ['Brc1cnccn1', 'Clc1cnccn1']; ['OB(O)c1ccco1', 'OB(O)c1ccco1']; [0.99931109, 0.99931109]
-O[C@@H]1CC[C@H](c2cnccn2)C1; [None]; [None]; [0]
-Clc1ccc(-c2cnccn2)c(Cl)c1; ['Clc1cnccn1']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.998735487]
-Brc1cnc(-c2cnccn2)nc1; [None]; [None]; [0]
-c1cnc(-c2ccsc2)cn1; ['Clc1cnccn1', 'Brc1ccsc1', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'Clc1cnccn1', 'c1cnccn1']; [0.999979138, 0.999979138, 0.999979138]
-Cc1cc(C)cc(-c2cnccn2)c1; ['Brc1cnccn1', 'Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc([Mg]Br)c1']; ['Cc1cc(C)cc(B(O)O)c1', 'Clc1cnccn1', 'Clc1cnccn1']; [0.999975443, 0.999975443, 0.999975443]
-OC[C@H](Cc1ccccc1)c1cnccn1; [None]; [None]; [0]
-COc1ccc(CNc2cnccn2)cc1; ['COc1ccc(C=O)cc1']; ['Nc1cnccn1']; [0.969821095]
-COc1cc(F)c(-c2cnccn2)cc1OC; ['COc1ccc(F)cc1OC']; ['Clc1cnccn1']; [0.818167806]
-COc1ccc2cccc(-c3cnccn3)c2c1; [None]; [None]; [0]
-COc1cc(-c2cnccn2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['Clc1cnccn1']; [0.999816954]
-Cn1cc(-c2cnccn2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1cc(Nc2cnccn2)nn1C; ['Brc1cnccn1']; ['Cc1cc(N)nn1C']; [0.999763668]
-Cc1ccc(-c2cnccn2)o1; ['Cc1ccc(B(O)O)o1']; ['[O-][n+]1ccncc1']; [0.998833239]
-c1cnc(-c2ccc3cn[nH]c3c2)cn1; ['Brc1cnccn1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; [0.999994278]
-Oc1ccc2cccc(-c3cnccn3)c2c1; [None]; [None]; [0]
-CC(C)Oc1cnccn1; ['CC(C)O', 'CC(C)O', 'CC(C)[O-]']; ['Ic1cnccn1', 'Clc1cnccn1', 'Clc1cnccn1']; [0.998939455, 0.998939455, 0.998939455]
-Cc1nc(Nc2cnccn2)sc1C; ['Cc1nc(Br)sc1C']; ['Nc1cnccn1']; [0.999587357]
-COC(=O)Nc1cnccn1; ['COC(=O)Cl']; ['Nc1cnccn1']; [0.999973774]
-c1ccc2oc(-c3cnccn3)cc2c1; ['OB(O)c1cc2ccccc2o1', 'Clc1cnccn1']; ['[O-][n+]1ccncc1', 'OB(O)c1cc2ccccc2o1']; [0.999743283, 0.999743283]
-COc1cc(-c2cnccn2)c(OC)cc1Br; ['Brc1cnccn1']; ['COc1ccc(OC)c(Br)c1']; [0.892081201]
-CCn1cc(-c2cnccn2)cn1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cnccn2)cc1; ['Clc1cnccn1']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999999762]
-c1cnc(-c2cscn2)cn1; [None]; [None]; [0]
-CCc1cccc(-c2cnccn2)n1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cnccn2)c1; [None]; [None]; [0]
-OCCc1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cnccn1; [None]; [None]; [0]
-Fc1ccc(Nc2cnccn2)nc1; ['Clc1cnccn1', 'Brc1cnccn1', 'Fc1ccc(Br)nc1', 'Fc1ccc(Cl)nc1']; ['Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1cnccn1', 'Nc1cnccn1']; [0.999469221, 0.999469221, 0.999469221, 0.999469221]
-Nc1cnc(-c2ccc(O)cc2)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1']; [0.999837756, 0.999837756]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnccn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['c1cnccn1']; [0.996936798]
-c1ccc(Nc2cnccn2)nc1; ['Clc1ccccn1']; ['Nc1cnccn1']; [0.980556726]
-Cn1cc(-c2cnc(N)cn2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1cnc(Br)cn1']; [0.999995589]
-Nc1cnc(-c2ccncc2)cn1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1ccncc1', 'OB(O)c1ccncc1']; [0.999995, 0.999995, 0.999995]
-Nc1cnc(-c2cn[nH]c2)cn1; ['Nc1cnc(Br)cn1']; ['OB(O)c1cn[nH]c1']; [0.999924183]
-Nc1cnc(-c2cccc3ncccc23)cn1; ['Nc1cnc(Cl)cn1']; ['OB(O)c1cccc2ncccc12']; [0.997750461]
-CCc1ccc(-c2cnc(N)cn2)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999983668, 0.999983668]
-Nc1cnc(-c2c(F)cccc2F)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['OB(O)c1c(F)cccc1F', 'OB(O)c1c(F)cccc1F']; [0.999989271, 0.999989271]
-Nc1cnc(-c2ccc(Cl)c(O)c2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
-Nc1cnc(Oc2ccc(F)cc2)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.999828339, 0.999828339]
-Nc1cnc(-c2c(Cl)cccc2Cl)cn1; ['Nc1cnc(Br)cn1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999441803]
-CNS(=O)(=O)c1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
-Cc1ncc(-c2cnc(N)cn2)[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999999166, 0.999999166]
-Nc1cnc(-c2ccc(O)cc2Cl)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccccc2Cl)cn1; ['Nc1cnc(Br)cn1']; ['OB(O)c1ccccc1Cl']; [0.999920964]
-Nc1cnc(-c2ccnc(N)n2)cn1; [None]; [None]; [0]
-Nc1cnc([C@@H]2C[C@H](O)C2)cn1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)cn2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Nc1cnc(Br)cn1']; [0.999998212]
-Nc1cnc(-c2cc[nH]c2)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc(N)cn2)cc1; ['CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C']; ['Nc1cnc(Br)cn1']; [0.999999881]
-N#Cc1cnc(-c2cnc(N)cn2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccoc2)cn1; ['Brc1ccoc1']; ['Nc1cnc(Br)cn1']; [0.995080829]
-Nc1cnc(-c2cnccn2)cn1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnc(N)cn2)o1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc(N)cn2)cn1; ['N#Cc1ccc(B(O)O)cn1']; ['Nc1cnc(Br)cn1']; [0.999986768]
-COc1cc(CCc2cnc(N)cn2)ccc1O; [None]; [None]; [0]
-Nc1cnc(-c2cccc(Br)c2)cn1; ['Nc1cnc(Br)cn1']; ['OB(O)c1cccc(Br)c1']; [0.999816835]
-Nc1cnc(COc2cccc(Cl)c2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cccs2)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['OB(O)c1cccs1', 'OB(O)c1cccs1']; [0.999975324, 0.999975324]
-Nc1cnc(CCCO)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccncn2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(O)cc2O)cn1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnc(N)cn2)c1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(F)c(Cl)c2)cn1; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)cn2)cc1C; ['Cc1ccc(B(O)O)cc1C', 'Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1C']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999987483, 0.999987483]
-Nc1cnc([C@H](CO)c2ccccc2)cn1; [None]; [None]; [0]
-Nc1cnc(COc2ccccc2Cl)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cc(O)ccc2Cl)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cnc(O)c(Cl)c2)cn1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnc(N)cn1; [None]; [None]; [0]
-COc1ccc(-c2cnc(N)cn2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1']; [0.999977, 0.999977]
-Nc1cnc(Cn2ccccc2=O)cn1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnc(N)cn1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1cnc(Cl)cn1']; [0.999948621]
-Cc1nc2ccc(-c3cnc(N)cn3)cc2[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc(N)cn2)c1; ['COc1cc(OC)cc(B(O)O)c1']; ['Nc1cnc(Br)cn1']; [0.999991059]
-Nc1cnc(-c2nc3ccccc3s2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccc3c(c2)CC(=O)N3)cn1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cnc(N)cn2)CC1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnc(N)cn1; ['Cc1cc(O)ccc1B(O)O']; ['Nc1cnc(Cl)cn1']; [0.991589]
-CCc1cc(O)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cncc(O)c2)cn1; [None]; [None]; [0]
-Nc1cnc(-n2ccnc2)cn1; ['Nc1cnc(Cl)cn1']; ['c1c[nH]cn1']; [0.841266572]
-CCc1sccc1-c1cnc(N)cn1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnc(N)cn1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cnc(N)cn1; ['Cc1cccc(C)c1B(O)O']; ['Nc1cnc(Br)cn1']; [0.999864817]
-Nc1cnc(-c2ccc3c(c2)CCN3)cn1; [None]; [None]; [0]
-Nc1cnc(-c2nccs2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cc(Cl)c(O)c(Cl)c2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccc3[nH]c(=O)[nH]c3c2)cn1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnc(N)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999999762, 0.999999762]
-Nc1cnc(-c2ccc(Br)cc2F)cn1; ['Nc1cnc(Br)cn1']; ['OB(O)c1ccc(Br)cc1F']; [0.999904156]
-Nc1cnc(-c2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-Nc1cnc(Nc2ccncc2)cn1; ['Nc1ccncc1']; ['Nc1cnc(Cl)cn1']; [0.997075438]
-Cc1ccc(-c2cnc(N)cn2)c(C)n1; [None]; [None]; [0]
-Cc1csc(-c2cnc(N)cn2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)cn2)nc1C; [None]; [None]; [0]
-Nc1cnc(-c2cc(O)cc(Br)c2)cn1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc(N)cn3)cc2o1; [None]; [None]; [0]
-Nc1cnc(-c2cnco2)cn1; [None]; [None]; [0]
-CSc1cccc(-c2cnc(N)cn2)c1; ['CSc1cccc(B(O)O)c1']; ['Nc1cnc(Cl)cn1']; [0.997487426]
-Nc1cnc(-c2cc(F)c(O)c(F)c2)cn1; [None]; [None]; [0]
-Nc1cnc(Oc2ccccc2F)cn1; ['Nc1cnc(Cl)cn1']; ['Oc1ccccc1F']; [0.99905616]
-Nc1cnc(-c2ccc3c(=O)[nH][nH]c3c2)cn1; [None]; [None]; [0]
-Nc1cnc(OCc2ccccc2)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['OCc1ccccc1', 'OCc1ccccc1']; [0.987800837, 0.987800837]
-Nc1cnc(-c2ccc(F)cc2Cl)cn1; ['Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1']; ['OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [0.999975681, 0.999975681]
-Nc1cnc(NCc2c(F)cccc2Cl)cn1; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999942422, 0.999942422]
-Nc1cnc(Oc2ccc(F)cc2F)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.999971032, 0.999971032]
-CCOc1ccc(-c2cnc(N)cn2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999998927, 0.999998927]
-CS(=O)(=O)c1cccc(-c2cnc(N)cn2)c1; ['CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1cnc(Br)cn1']; [0.999995]
-COc1ncccc1-c1cnc(N)cn1; ['COc1ncccc1B(O)O', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999130547, 0.999130547]
-Nc1cnc(Cc2ccc(F)cc2)cn1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)cn2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999907255, 0.999907255]
-Cc1n[nH]cc1-c1cnc(N)cn1; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1cnc(Br)cn1']; [0.999930859]
-Cc1nn(C)cc1-c1cnc(N)cn1; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1cnc(Cl)cn1']; [0.999957085]
-Nc1cnc(-c2cccc(O)c2)cn1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1cccc(O)c1', 'Nc1cnc(Cl)cn1', 'OB(O)c1cccc(O)c1']; [0.99999, 0.99999, 0.99999, 0.99999]
-COc1ccc(-c2cnc(N)cn2)cc1; ['COc1ccc(B(O)O)cc1']; ['Nc1cnc(Br)cn1']; [0.999949932]
-Cn1nncc1-c1cnc(N)cn1; [None]; [None]; [0]
-Cc1cc(Nc2cnc(N)cn2)sn1; ['Cc1cc(N)sn1']; ['Nc1cnc(Cl)cn1']; [0.993867815]
-Nc1cnc(-c2cnc3cccnn23)cn1; [None]; [None]; [0]
-Nc1cnc(Nc2ncccn2)cn1; ['Nc1cnc(Br)cn1']; ['Nc1ncccn1']; [0.950034797]
-Nc1cnc(-c2cccc(F)c2)cn1; ['Nc1cnc(Cl)cn1']; ['OB(O)c1cccc(F)c1']; [0.99991262]
-Nc1cnc(Cc2nccc3ccccc23)cn1; [None]; [None]; [0]
-Nc1cnc(-c2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(C(=O)Nc3ccccc3)cc2)cn1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Cl)cn1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999997616, 0.999997616, 0.999997616]
-Nc1cnc(-c2ccc(Cl)cc2)cn1; ['CC1(C)OB(c2ccc(Cl)cc2)OC1(C)C', 'Nc1cnc(Br)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1ccc(Cl)cc1']; [0.999998689, 0.999998689]
-Nc1cnc(-c2ccc(OCCO)cc2)cn1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C']; ['Nc1cnc(Cl)cn1']; [0.999987]
-Nc1cnc(Nc2ccncn2)cn1; ['Nc1ccncn1']; ['Nc1cnc(Cl)cn1']; [0.849141717]
-Nc1cnc(NC(=O)C2CC2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(C(F)(F)F)cc2)cn1; ['Nc1cnc(Cl)cn1']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.999936581]
-Cc1cc(-c2cnc(N)cn2)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)cn2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1cnc(Cl)cn1']; [0.999994159]
-Nc1cnc(-c2cccc(C3CCNCC3)c2)cn1; ['Brc1cccc(C2CCNCC2)c1']; ['Nc1cnc(Br)cn1']; [0.999517918]
-Cc1nc(C)c(-c2cnc(N)cn2)s1; [None]; [None]; [0]
-Nc1cnc(Cc2ccncc2)cn1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
-Nc1cnc(C[C@H](O)CO)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cnc(Cl)nc2)cn1; [None]; [None]; [0]
-Nc1cnc(Cc2ccccc2O)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(Br)cc2)cn1; ['Nc1cnc(Br)cn1']; ['OB(O)c1ccc(Br)cc1']; [0.999064386]
-Nc1cnc(Cc2cccnc2)cn1; [None]; [None]; [0]
-COc1ccc(Cc2cnc(N)cn2)cc1; [None]; [None]; [0]
-Nc1cnc(-c2cncnc2)cn1; ['CC1(C)OB(c2cncnc2)OC1(C)C', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Cl)cn1', 'OB(O)c1cncnc1']; [0.999353111, 0.999353111]
-Nc1cnc(-c2c[nH]c3ccccc23)cn1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccc3c(c2)CCO3)cn1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C']; ['Nc1cnc(Br)cn1']; [0.999999404]
-Nc1cnc(-c2ccc[nH]2)cn1; [None]; [None]; [0]
-Nc1cnc(Cn2ccnc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc(N)cn2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1cnc(Cl)cn1']; [0.999944091]
-Nc1cnc(-c2cccc3c2OCO3)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cc3ccccc3cn2)cn1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc(N)cn2)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1cnc(Br)cn1']; [0.999991775]
-Nc1cnc(-c2ccc(F)c(F)c2)cn1; ['CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C']; ['Nc1cnc(Cl)cn1']; [0.999998331]
-COCCOc1cnc(N)cn1; ['COCCO', 'COCCO']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.99915719, 0.99915719]
-CC1(COc2cnc(N)cn2)COC1; ['CC1(CO)COC1', 'CC1(CO)COC1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.99193269, 0.99193269]
-Nc1cnc(-c2scc3c2OCCO3)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cnc3ccccc3c2)cn1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)cn2)nc(N)n1; [None]; [None]; [0]
-Nc1cnc([C@@H]2CC[C@@H](O)CC2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccco2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ncc(Br)cn2)cn1; [None]; [None]; [0]
-Nc1cnc([C@H]2CC[C@@H](O)C2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccsc2)cn1; ['CC1(C)OB(c2ccsc2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1ccsc1', 'OB(O)c1ccsc1']; [0.999999046, 0.999999046, 0.999999046]
-Nc1cnc(-c2ccc(Cl)cc2Cl)cn1; ['Nc1cnc(Br)cn1']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.99987793]
-Nc1cnc([C@H](CO)Cc2ccccc2)cn1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cnc(N)cn2)c1; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999939203, 0.999939203, 0.999939203]
-COc1ccc(CNc2cnc(N)cn2)cc1; ['COc1ccc(CN)cc1']; ['Nc1cnc(Cl)cn1']; [0.995305181]
-COc1ccc2cccc(-c3cnc(N)cn3)c2c1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)cn2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1']; [0.999995589, 0.999995589]
-COc1cc(F)c(-c2cnc(N)cn2)cc1OC; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)cn2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1cc(Nc2cnc(N)cn2)nn1C; ['Cc1cc(N)nn1C']; ['Nc1cnc(Cl)cn1']; [0.982835472]
-Cc1ccc(-c2cnc(N)cn2)o1; ['Cc1ccc(B(O)O)o1']; ['Nc1cnc(Cl)cn1']; [0.99196285]
-Nc1cnc(-c2cccc3ccc(O)cc23)cn1; [None]; [None]; [0]
-CC(C)Oc1cnc(N)cn1; ['CC(C)O']; ['Nc1cnc(Cl)cn1']; [0.999562085]
-Nc1cnc(-c2ccc3cn[nH]c3c2)cn1; ['Nc1cnc(Br)cn1']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999985933]
-Nc1cnc(-c2cc3ccccc3o2)cn1; ['Nc1cnc(Cl)cn1']; ['OB(O)c1cc2ccccc2o1']; [0.9957968]
-Cc1nc(Nc2cnc(N)cn2)sc1C; ['Cc1nc(N)sc1C']; ['Nc1cnc(Cl)cn1']; [0.987932146]
-COC(=O)Nc1cnc(N)cn1; ['COC(N)=O']; ['Nc1cnc(Br)cn1']; [0.989322066]
-COc1cc(-c2cnc(N)cn2)c(OC)cc1Br; [None]; [None]; [0]
-CCn1cc(-c2cnc(N)cn2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1cnc(Br)cn1']; [0.99998796]
-Nc1cnc(-c2cscn2)cn1; [None]; [None]; [0]
-CCc1cccc(-c2cnc(N)cn2)n1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(OC(F)(F)F)cc2)cn1; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1cnc(Cl)cn1']; [0.999999642, 0.999999642]
-Nc1cnc(-c2ccc(CCO)cc2)cn1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(Nc2ccccn2)cn1; ['Nc1ccccn1']; ['Nc1cnc(Br)cn1']; [0.938129306]
-Nc1cnc(-c2cccc(N3CCCC3=O)c2)cn1; [None]; [None]; [0]
-Nc1cnc(Nc2ccc(F)cn2)cn1; ['Nc1ccc(F)cn1']; ['Nc1cnc(Cl)cn1']; [0.953647077]
-CCOc1ccccc1-c1ccc(N)nc1; ['CCOc1ccccc1B(O)O']; ['Nc1ccc(Cl)cn1']; [0.992270589]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnc(N)cn2)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['CNC(=O)c1ccccc1Br']; [0.999997377]
-Nc1ccc(-c2ccnc3ccccc23)cn1; ['Brc1ccnc2ccccc12', 'Nc1ccc(I)cn1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'OB(O)c1ccnc2ccccc12']; [0.999992728, 0.999992728]
-Nc1ccc(Cc2cc(F)cc(F)c2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(CCl)c1']; ['Fc1cc(F)cc(CBr)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.999857426, 0.999857426, 0.999857426]
-Nc1ccc([C@@H]2C[C@H](O)C2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2cccc(C(F)(F)F)c2)cn1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1']; ['Nc1ccc(Br)cn1', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999995947, 0.999995947, 0.999995947]
-Nc1ccc(-c2cccnc2)cn1; ['Nc1ccc(I)cn1', 'Ic1cccnc1']; ['OB(O)c1cccnc1', 'Nc1ccc(B(O)O)cn1']; [0.99991715, 0.99991715]
-Nc1ccc(-c2ccccc2Br)cn1; ['Nc1ccc(I)cn1', 'Brc1ccccc1Br']; ['OB(O)c1ccccc1Br', 'Nc1ccc(B(O)O)cn1']; [0.999627471, 0.999627471]
-Nc1ccc(-c2ccccc2Cl)cn1; ['Nc1ccc(Br)cn1', 'Clc1ccccc1Cl']; ['OB(O)c1ccccc1Cl', 'Nc1ccc(B(O)O)cn1']; [0.999667645, 0.999667645]
-Nc1ccc(-c2cc[nH]n2)cn1; ['Brc1cc[nH]n1']; ['Nc1ccc(B(O)O)cn1']; [0.997127354]
-Nc1ccc(-c2ccccc2F)cn1; ['CC1(C)OB(c2ccccc2F)OC1(C)C', 'Nc1ccc(I)cn1', 'Fc1ccccc1Cl']; ['Nc1ccc(I)cn1', 'OB(O)c1ccccc1F', 'Nc1ccc(B(O)O)cn1']; [0.999926, 0.999926, 0.999926]
-Nc1ccc(-c2ccccc2OC(F)(F)F)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'FC(F)(F)Oc1ccccc1I']; ['FC(F)(F)Oc1ccccc1Br', 'Nc1ccc(I)cn1', 'FC(F)(F)Oc1ccccc1Cl', 'Nc1ccc(B(O)O)cn1']; [0.99999845, 0.99999845, 0.99999845, 0.99999845]
-N#Cc1ccccc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccccc2C#N)OC1(C)C', 'CC1(C)OB(c2ccccc2C#N)OC1(C)C']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1']; [0.999969482, 0.999969482]
-Nc1ccc(-c2cnn(Cc3ccccc3)c2)cn1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Nc1ccc(Br)cn1']; [0.999990225]
-Nc1ccc(-c2c(F)cccc2F)cn1; ['CC1(C)OB(c2c(F)cccc2F)OC1(C)C']; ['Nc1ccc(Br)cn1']; [0.999979734]
-NC(=O)c1ccccc1-c1ccc(N)nc1; ['NC(=O)c1ccccc1I']; ['Nc1ccc(B(O)O)cn1']; [0.999753535]
-Nc1ccc(-c2ccncn2)cn1; ['Clc1ccncn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Nc1ccc(B(O)O)cn1', 'Clc1ccncn1']; [0.999957681, 0.999957681]
-Nc1ccc(-c2cccc(NC(=O)c3ccccc3)c2)cn1; [None]; [None]; [0]
-Nc1ccc([C@@H](N)c2ccco2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2cnc(-c3ccccc3)[nH]2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2ccc3c(c2)CCC3)cn1; ['Ic1ccc2c(c1)CCC2']; ['Nc1ccc(B(O)O)cn1']; [0.999992132]
-Nc1ccc(-c2cnc3ccccn23)cn1; ['Brc1cnc2ccccn12', 'Clc1cnc2ccccn12']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.999921679, 0.999921679]
-Nc1ccc(-c2cnn(CCO)c2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.999993682, 0.999993682]
-Nc1ccc(-c2cnco2)cn1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(N)nc2)c(Br)c1; ['Cc1ccc(I)c(Br)c1']; ['Nc1ccc(B(O)O)cn1']; [0.99987781]
-Cc1nc(N)sc1-c1ccc(N)nc1; ['Cc1csc(N)n1']; ['Nc1ccc(Br)cn1']; [0.988660932]
-Cc1nc(C)c(-c2ccc(N)nc2)s1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Cc1nc(C)c(Br)s1']; [0.999998]
-Nc1ccc(-c2cnc3cccnn23)cn1; ['Brc1cnc2cccnn12']; ['Nc1ccc(B(O)O)cn1']; [0.999998331]
-Nc1ccc(-c2c(Cl)cccc2Cl)cn1; ['Clc1cccc(Cl)c1Br', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Nc1ccc(B(O)O)cn1', 'Clc1cccc(Cl)c1Cl']; [0.999879956, 0.999879956]
-Cc1ccc(Cl)c(-c2ccc(N)nc2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Nc1ccc(I)cn1']; [0.999210477]
-CC(C)(C)Nc1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(OC2CCCCC2)cn1; ['BrC1CCCCC1', 'Nc1ccc(O)cn1']; ['Nc1ccc(O)cn1', 'OC1CCCCC1']; [0.99973923, 0.99973923]
-Cc1ncc(-c2ccc(N)nc2)[nH]1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1ncc(Br)[nH]1']; ['Cc1ncc(Br)[nH]1', 'Nc1ccc(B(O)O)cn1']; [0.99970144, 0.99970144]
-Nc1ccc(-c2cccc(Cl)c2Cl)cn1; ['Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; ['OB(O)c1cccc(Cl)c1Cl', 'OB(O)c1cccc(Cl)c1Cl']; [0.999628186, 0.999628186]
-Nc1ccc(-c2ccc3ccccc3c2)cn1; ['Brc1ccc2ccccc2c1', 'Nc1ccc(Cl)cn1']; ['Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc2ccccc2c1']; [0.999980927, 0.999980927]
-Nc1ccc(-c2ccnc(N)n2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; ['Nc1nccc(Cl)n1', 'Nc1nccc(Cl)n1']; [0.99998033, 0.99998033]
-Nc1ccc(NCc2cccnc2)cn1; ['BrCc1cccnc1', 'Nc1ccc(N)nc1']; ['Nc1ccc(N)nc1', 'O=Cc1cccnc1']; [0.997968137, 0.997968137]
-C[C@H](CO)Nc1ccc(N)nc1; ['C[C@@H](N)CO']; ['Nc1ccc(Br)cn1']; [0.779364288]
-COc1cccc(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cccc(Br)c1', 'COc1cccc(I)c1', 'COc1cccc(B(O)O)c1', 'COc1cccc(Br)c1']; ['COc1cccc(Br)c1', 'COc1cccc(I)c1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.999994874, 0.999994874, 0.999994874, 0.999994874, 0.999994874, 0.999994874, 0.999994874]
-Nc1ccc(-c2ccc(Cl)s2)cn1; ['Nc1ccc(Br)cn1']; ['OB(O)c1ccc(Cl)s1']; [0.999161839]
-Nc1ccc(Nc2cccnc2)cn1; ['Nc1ccc(Br)cn1', 'Brc1cccnc1']; ['Nc1cccnc1', 'Nc1ccc(N)nc1']; [0.901154578, 0.901154578]
-CC(C)COc1ccc(N)nc1; ['CC(C)CCl', 'CC(C)CBr']; ['Nc1ccc(O)cn1', 'Nc1ccc(O)cn1']; [0.990955651, 0.990955651]
-Nc1ccc(-c2cncc3ccccc23)cn1; ['Brc1cncc2ccccc12', 'Nc1ccc(Br)cn1']; ['Nc1ccc(B(O)O)cn1', 'OB(O)c1cncc2ccccc12']; [0.999868274, 0.999868274]
-Nc1ccc(-n2cnc3ccccc32)cn1; [None]; [None]; [0]
-Nc1ccc(NC(=O)c2cccs2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2cccc(O)c2)cn1; ['Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1ccc(Br)cn1']; ['Oc1cccc(Br)c1', 'Nc1ccc(Br)cn1', 'OB(O)c1cccc(O)c1']; [0.999881, 0.999881, 0.999881]
-Cn1cncc1-c1ccc(N)nc1; ['Cn1cncc1Cl', 'Cn1cncc1Br']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.999955893, 0.999955893]
-Nc1ccc(Nc2ccncc2)cn1; ['Clc1ccncc1']; ['Nc1ccc(N)nc1']; [0.975424528]
-C[C@@H](O)[C@@H](C)Oc1ccc(N)nc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(N)nc2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ccc(Br)cn1']; [0.999993682]
-Nc1ccc(-c2cccc(CO)c2)cn1; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; ['OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1']; [0.999931097, 0.999931097]
-Nc1ccc(-c2ccco2)cn1; ['Nc1ccc(Br)cn1']; ['OB(O)c1ccco1']; [0.997186482]
-Nc1ccc(-c2cccs2)cn1; ['Brc1cccs1']; ['Nc1ccc(B(O)O)cn1']; [0.999709904]
-N#CCCc1cccc(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'N#CCCc1cccc(Br)c1']; ['N#CCCc1cccc(Br)c1', 'Nc1ccc(Br)cn1']; [0.999981284, 0.999981284]
-CC(C)Nc1ccc(N)nc1; ['CC(C)N']; ['Nc1ccc(Br)cn1']; [0.966831803]
-CCC(=O)Nc1ccc(-c2ccc(N)nc2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc(N)nc2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.999999285, 0.999999285, 0.999999285, 0.999999285, 0.999999285]
-CCC(=O)Nc1ccc(N)nc1; ['CCC(=O)O', 'CCC(=O)Cl']; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1']; [0.985481441, 0.985481441]
-Nc1ccc(-c2ccc(F)cc2C(F)(F)F)cn1; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999995232, 0.999995232, 0.999995232, 0.999995232, 0.999995232]
-COc1ccc(-c2ccc(N)nc2)cc1Cl; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['COc1ccc(Br)cc1Cl']; [0.999999523]
-Nc1ccc(-c2cnoc2)cn1; ['Ic1cnoc1', 'Brc1cnoc1']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.995795, 0.995795]
-CC(C)(N)c1ccc(-c2ccc(N)nc2)cc1; ['CC(C)(N)c1ccc(Cl)cc1']; ['Nc1ccc(B(O)O)cn1']; [0.985346317]
-CCCn1cc(-c2ccc(N)nc2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ccc(Br)cn1']; [0.999997258]
-Cc1cc(-c2ccc(N)nc2)no1; [None]; [None]; [0]
-Nc1ccc(-c2cccc3c2C(=O)CC3)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['O=C1CCc2cccc(Br)c21']; [0.999985576]
-CCOC(=O)Cc1ccc(N)nc1; [None]; [None]; [0]
-CCN(CC)c1ccc(N)nc1; ['CCNCC']; ['Nc1ccc(Br)cn1']; [0.758100271]
-C[S@](=O)c1ccc(-c2ccc(N)nc2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Nc1ccc(Br)cn1']; [0.999687433]
-COc1ccncc1Nc1ccc(N)nc1; ['COc1ccncc1Br', 'COc1ccncc1N']; ['Nc1ccc(N)nc1', 'Nc1ccc(Br)cn1']; [0.998133957, 0.998133957]
-Nc1ccc(-c2cc3c(=O)[nH]ccc3o2)cn1; [None]; [None]; [0]
-Nc1ccc(Nc2cnc3ccccc3c2)cn1; ['Nc1ccc(Br)cn1', 'Clc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Nc1ccc(Cl)cn1']; ['Nc1cnc2ccccc2c1', 'Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1cnc2ccccc2c1']; [0.961694896, 0.961694896, 0.961694896, 0.961694896]
-Nc1ccc(-c2c[nH]c3ccccc23)cn1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc(N)nc2)C1; [None]; [None]; [0]
-Nc1ccc(-c2c[nH]c3cnccc23)cn1; ['Brc1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; [0.999963403, 0.999963403]
-Nc1ccc([C@H](CO)Cc2ccccc2)cn1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc(N)nc2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc(N)nc2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccc(N)nc1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.999976397, 0.999976397]
-CNS(=O)(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['CNS(=O)(=O)c1ccc(Br)cc1', 'Nc1ccc(B(O)O)cn1']; [0.999970198, 0.999970198]
-CS(=O)(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C']; ['Nc1ccc(I)cn1']; [0.999999523]
-NC(=O)c1c(F)cccc1-c1ccc(N)nc1; ['NC(=O)c1c(F)cccc1Br']; ['Nc1ccc(B(O)O)cn1']; [0.999989152]
-Nc1ccc(-c2cccnc2O)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Oc1ncccc1Br']; [0.999991655]
-Nc1ccc(-n2ncc3ccccc32)cn1; ['Nc1ccc(I)cn1']; ['c1ccc2[nH]ncc2c1']; [0.852246583]
-Nc1ccc(-n2ncc3c(O)cccc32)cn1; [None]; [None]; [0]
-COc1ccc(-c2ccc(N)nc2)c(OC)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['COc1ccc(Br)c(OC)c1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.999990821, 0.999990821, 0.999990821]
-Nc1ccc(Cc2ccncc2)cn1; ['ClCc1ccncc1']; ['Nc1ccc(Br)cn1']; [0.994443595]
-Nc1ccc(OC2CCOCC2)cn1; ['BrC1CCOCC1']; ['Nc1ccc(O)cn1']; [0.999950051]
-Nc1ccc(-n2ccnc2)cn1; ['Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.996075571, 0.996075571]
-Nc1ccc(-c2nc3ccc(O)cc3[nH]2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2nnc(N)s2)cn1; ['NNC(N)=S']; ['Nc1ccc(C(=O)O)cn1']; [0.996696591]
-Cc1cncc(-c2ccc(N)nc2)n1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1cncc(Br)n1', 'Cc1cncc(Cl)n1']; ['Cc1cncc(Cl)n1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.999987602, 0.999987602, 0.999987602]
-Nc1ccc(-c2nc3ccccc3s2)cn1; ['Nc1ccc(Br)cn1']; ['c1ccc2scnc2c1']; [0.999578297]
-Nc1ccc(-c2ccc(C(=O)c3ccccc3)cc2)cn1; ['Nc1ccc(Cl)cn1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999267519]
-Nc1ccc(-c2cccc3ccsc23)cn1; ['Brc1cccc2ccsc12']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; [0.999964833]
-Nc1ccc(-c2cnc(N)s2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; ['Nc1ncc(Br)s1', 'Nc1ncc(Br)s1']; [0.999936, 0.999936]
-COc1cccc(F)c1-c1ccc(N)nc1; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1']; [0.999986887, 0.999986887]
-COc1ccc(C#N)cc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['COc1ccc(C#N)cc1Br']; [0.999999285]
-Nc1ccc(-c2c[nH]c3cccnc23)cn1; [None]; [None]; [0]
-CC(C)(C)CNc1ccc(N)nc1; ['CC(C)(C)CN']; ['Nc1ccc(Br)cn1']; [0.895235956]
-Nc1ccc(-c2nc(N)c3ccccc3n2)cn1; [None]; [None]; [0]
-Nc1ccc(Cc2cccnc2)cn1; ['BrCc1cccnc1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; [0.998607695]
-Cc1cc(C)cc(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1cc(C)cc(I)c1', 'Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['Cc1cc(C)cc(Br)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; [0.999993801, 0.999993801, 0.999993801, 0.999993801]
-CC(C)(C)Oc1ccc(N)nc1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccc(N)nc2)c1; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1']; [0.999849081, 0.999849081]
-N#Cc1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'N#Cc1ccc(I)cc1', 'N#Cc1ccc(B(O)O)cc1', 'N#Cc1ccc(B(O)O)cc1']; ['N#Cc1ccc(Br)cc1', 'N#Cc1ccc(I)cc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; [0.999999166, 0.999999166, 0.999999166, 0.999999166, 0.999999166]
-Nc1ccc(N2CC=C(c3c[nH]c4ccccc34)CC2)cn1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Nc1ccc(Br)cn1']; [0.999820173]
-C[C@@]1(O)CC[C@H](c2ccc(N)nc2)CC1; [None]; [None]; [0]
-COc1ncccc1-c1ccc(N)nc1; ['COc1ncccc1B(O)O', 'COc1ncccc1I']; ['Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1']; [0.998825252, 0.998825252]
-Cc1n[nH]cc1-c1ccc(N)nc1; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1n[nH]cc1Br']; ['Nc1ccc(Br)cn1', 'Cc1n[nH]cc1Br', 'Nc1ccc(B(O)O)cn1']; [0.999962926, 0.999962926, 0.999962926]
-Nc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)cn1; [None]; [None]; [0]
-COc1cc(-c2ccc(N)nc2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC']; ['Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.999917388, 0.999917388, 0.999917388]
-CCOc1ccc(-c2ccc(N)nc2)cc1; ['CCOc1ccc(Br)cc1']; ['Nc1ccc(B(O)O)cn1']; [0.999939919]
-Cn1nncc1-c1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(-c2nc3ccccc3[nH]2)cn1; ['Nc1ccc(C(=O)O)cn1']; ['Nc1ccccc1N']; [0.952358305]
-COc1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1']; ['COc1ccc(Br)cc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.999995, 0.999995, 0.999995]
-CS(=O)(=O)c1cccc(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Nc1ccc(Br)cn1', 'CS(=O)(=O)c1cccc(Br)c1']; [1.0, 1.0]
-NC(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C']; ['Nc1ccc(Br)cn1']; [0.999996662]
-Nc1ccc(Nc2ncccn2)cn1; ['Nc1ccc(Br)cn1']; ['Nc1ncccn1']; [0.971766591]
-Cc1nn(C)cc1-c1ccc(N)nc1; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ccc(I)cn1']; [0.999945402]
-Cc1cc(Nc2ccc(N)nc2)sn1; ['Cc1cc(N)sn1']; ['Nc1ccc(Br)cn1']; [0.999876857]
-Nc1ccc(-c2cccc(F)c2)cn1; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C', 'Fc1cccc(Br)c1', 'Nc1ccc(Cl)cn1']; ['Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1cccc(F)c1']; [0.999993443, 0.999993443, 0.999993443]
-Nc1ccc(Cc2nccc3ccccc23)cn1; [None]; [None]; [0]
-Nc1ccc(-c2ccc(C(=O)Nc3ccccc3)cc2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; ['O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999999046, 0.999999046, 0.999999046]
-Nc1ccc(-c2ccc(Cl)cc2)cn1; ['Clc1ccc(I)cc1', 'Clc1ccc(Br)cc1']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.999889612, 0.999889612]
-Nc1ccc(-c2ccc(OCCO)cc2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; ['OCCOc1ccc(Br)cc1', 'OCCOc1ccc(Br)cc1']; [0.999998093, 0.999998093]
-Nc1ccc(Nc2ccncn2)cn1; ['Clc1ccncn1']; ['Nc1ccc(N)nc1']; [0.998131216]
-Nc1ccc(NC(=O)C2CC2)cn1; ['Nc1ccc(N)nc1']; ['O=C(O)C1CC1']; [0.999670506]
-Nc1ccc(-c2ccc(C(F)(F)F)cc2)cn1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'FC(F)(F)c1ccc(Br)cc1', 'Nc1ccc(Cl)cn1']; ['Nc1ccc(I)cn1', 'FC(F)(F)c1ccc(I)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(C(F)(F)F)cc1']; [0.999998212, 0.999998212, 0.999998212, 0.999998212, 0.999998212]
-Nc1ccc(-c2cccc(C3CCNCC3)c2)cn1; ['Brc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; [0.999999881, 0.999999881]
-Cc1cc(-c2ccc(N)nc2)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)c1ccc(B(O)O)cc1']; ['CN(C)c1ccc(Br)cc1', 'Nc1ccc(Br)cn1']; [0.999998808, 0.999998808]
-C[C@H](O)COc1ccc(-c2ccc(N)nc2)cc1; [None]; [None]; [0]
-Nc1ccc(-c2cnc(Cl)nc2)cn1; ['Clc1ncc(Br)cn1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(B(O)O)cn1', 'OB(O)c1cnc(Cl)nc1']; [0.998427153, 0.998427153]
-Nc1ccc(C[C@H](O)CO)cn1; [None]; [None]; [0]
-COc1ccc(Cc2ccc(N)nc2)cc1; ['COc1ccc(CCl)cc1']; ['Nc1ccc(Br)cn1']; [0.976026356]
-Nc1ccc(-c2ccc(Br)cc2)cn1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1ccc(I)cc1', 'Brc1ccc(I)cc1']; ['Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; [0.999995589, 0.999995589, 0.999995589]
-Nc1ccc(-c2cn[nH]c2)cn1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'Brc1cn[nH]c1']; ['Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; [0.999996543, 0.999996543]
-Nc1ccc(Cc2ccccc2O)cn1; [None]; [None]; [0]
-Nc1ccc(-c2cncnc2)cn1; ['Brc1cncnc1']; ['Nc1ccc(B(O)O)cn1']; [0.999534607]
-COc1ccc(Cl)cc1-c1ccc(N)nc1; ['COc1ccc(Cl)cc1Br']; ['Nc1ccc(B(O)O)cn1']; [0.999792159]
-Nc1ccc(-c2ccc3c(c2)CCO3)cn1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1ccc2c(c1)CCO2']; ['Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1']; [0.999999166, 0.999999166]
-Nc1ccc(-c2ccc[nH]2)cn1; [None]; [None]; [0]
-Nc1ccc(Cn2ccnc2)cn1; [None]; [None]; [0]
-COc1cc(-c2ccc(N)nc2)ccc1O; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['COc1cc(Br)ccc1O']; [0.999994397]
-Nc1ccc(-c2cc3ccccc3cn2)cn1; ['Clc1cc2ccccc2cn1']; ['Nc1ccc(B(O)O)cn1']; [0.999908328]
-Nc1ccc(-c2ccc(F)c(F)c2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2scc3c2OCCO3)cn1; [None]; [None]; [0]
-Nc1ccc(-c2cccc3c2OCO3)cn1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc(N)nc2)cc1; ['CC(C)(C)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; [0.999999404]
-COCCOc1ccc(N)nc1; ['COCCO']; ['Nc1ccc(Br)cn1']; [0.996207952]
-Nc1ccc(-c2cnc3ccccc3c2)cn1; ['Brc1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1cnc2ccccc2c1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.999990463, 0.999990463, 0.999990463]
-CC1(COc2ccc(N)nc2)COC1; ['CC1(CBr)COC1']; ['Nc1ccc(O)cn1']; [0.998165667]
-CSc1cccc(-c2ccc(N)nc2)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B(O)O)c1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1']; [0.999997497, 0.999997497, 0.999997497]
-Cc1cc(-c2ccc(N)nc2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Nc1ccc(B(O)O)cn1']; [0.999987602]
-Nc1ccc(-c2ccc(F)cc2Cl)cn1; ['Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; ['OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [0.999502897, 0.999502897]
-COc1ccc(-c2ccc(N)nc2)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC']; ['Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.999907494, 0.999907494, 0.999907494]
-Nc1ccc([C@@H]2CC[C@@H](O)CC2)cn1; [None]; [None]; [0]
-Nc1ccc([C@H]2CC[C@@H](O)C2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2ncc(Br)cn2)cn1; ['Clc1ncc(Br)cn1']; ['Nc1ccc(B(O)O)cn1']; [0.996769547]
-Nc1ccc(-c2ccc(Cl)cc2Cl)cn1; ['Clc1ccc(Br)c(Cl)c1', 'Nc1ccc(I)cn1']; ['Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(Cl)cc1Cl']; [0.99992919, 0.99992919]
-CCc1ccc(-c2ccc(N)nc2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; ['Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.99999392, 0.99999392, 0.99999392]
-COc1ccc(CNc2ccc(N)nc2)cc1; ['COc1ccc(CN)cc1']; ['Nc1ccc(Br)cn1']; [0.911565363]
-Cn1cc(-c2ccc(N)nc2)c(C(F)(F)F)n1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Cn1cc(Br)c(C(F)(F)F)n1']; [0.999994874]
-Nc1ccc(-c2ccsc2)cn1; ['Brc1ccsc1', 'Clc1ccsc1']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.99998796, 0.99998796]
-COc1ccc2cccc(-c3ccc(N)nc3)c2c1; [None]; [None]; [0]
-COc1cc(-c2ccc(N)nc2)ccc1Cl; ['COc1cc(Br)ccc1Cl']; ['Nc1ccc(B(O)O)cn1']; [0.999991655]
-COc1cc(F)c(-c2ccc(N)nc2)cc1OC; [None]; [None]; [0]
-Cc1ccc(-c2ccc(N)nc2)o1; ['Cc1ccc(B(O)O)o1']; ['Nc1ccc(Br)cn1']; [0.997144401]
-Nc1ccc(-c2cccc3ccc(O)cc23)cn1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N)nc2)nn1C; [None]; [None]; [0]
-Nc1ccc(-c2ccc3cn[nH]c3c2)cn1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Brc1ccc2cn[nH]c2c1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1']; [0.99998939, 0.99998939, 0.99998939, 0.99998939]
-Cc1nc(Nc2ccc(N)nc2)sc1C; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; ['COc1cc(I)cc(OC)c1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1']; [0.999987841, 0.999987841, 0.999987841]
-Nc1ccc(-c2cc3ccccc3o2)cn1; ['Nc1ccc(Br)cn1']; ['OB(O)c1cc2ccccc2o1']; [0.999764264]
-COc1cc(-c2ccc(N)nc2)c(OC)cc1Br; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['COc1cc(Br)c(OC)cc1Br']; [0.998260677]
-CCn1cc(-c2ccc(N)nc2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ccc(Br)cn1']; [0.999975443]
-Nc1ccc(-c2ccc(OC(F)(F)F)cc2)cn1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Nc1ccc(I)cn1', 'FC(F)(F)Oc1ccc(Br)cc1']; [1.0, 1.0]
-CC(C)Oc1ccc(N)nc1; ['CC(C)I']; ['Nc1ccc(O)cn1']; [0.998537779]
-COC(=O)Nc1ccc(N)nc1; ['COC(=O)Cl']; ['Nc1ccc(N)nc1']; [0.994214714]
-CNC(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CNC(=O)c1ccc(Br)cc1', 'Nc1ccc(I)cn1']; [0.999999285, 0.999999285]
-CCc1cccc(-c2ccc(N)nc2)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(N)nc2)nc1C; [None]; [None]; [0]
-Nc1ccc(-c2ccc(CCO)cc2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['OCCc1ccc(Br)cc1']; [0.999993682]
-Nc1ccc(-c2cscn2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Clc1cscn1']; [0.999988079]
-Nc1ccc(Nc2ccccn2)cn1; ['Clc1ccccn1', 'Fc1ccccn1']; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1']; [0.952589095, 0.952589095]
-Nc1ccc(-c2cccc(N3CCCC3=O)c2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['O=C1CCCN1c1cccc(Br)c1']; [0.999992132]
-COc1cc(N2CCNCC2)ccc1-c1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(Nc2ccc(F)cn2)cn1; ['Fc1ccc(Br)nc1']; ['Nc1ccc(N)nc1']; [0.99877578]
-CCOc1ccc(-c2cc(F)ccc2O)cc1; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc([Mg]Br)cc1']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1F']; [0.999919534, 0.999919534, 0.999919534]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccc(N)nc2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ccc(B(O)O)cn1']; [0.999910712]
-N#Cc1ccc(-c2cc(F)ccc2O)cc1; ['N#Cc1ccc(B(O)O)cc1', 'N#Cc1ccc(Br)cc1']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999777734, 0.999777734]
-COc1ncccc1-c1cc(F)ccc1O; ['COc1ncccc1B(O)O', 'COc1ncccc1I']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999535441, 0.999535441]
-CS(=O)(=O)c1cccc(-c2cc(F)ccc2O)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Oc1ccc(F)cc1Br', 'CS(=O)(=O)c1cccc(Br)c1', 'Oc1ccc(F)cc1I']; [0.999996543, 0.999996543, 0.999996543]
-Cc1n[nH]cc1-c1cc(F)ccc1O; [None]; [None]; [0]
-Cn1cc(-c2cc(F)ccc2O)cn1; ['Cn1cc(Br)cn1']; ['OB(O)c1cc(F)ccc1O']; [0.995098531]
-COc1cc(-c2cc(F)ccc2O)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cccc(OC)c1OC']; ['Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br']; [0.998609185, 0.998609185, 0.998609185]
-Oc1cccc(-c2cc(F)ccc2O)c1; ['OB(O)c1cccc(O)c1', 'OB(O)c1cc(F)ccc1O']; ['Oc1ccc(F)cc1I', 'Oc1cccc(I)c1']; [0.999674678, 0.999674678]
-Oc1ccc(F)cc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12']; ['OB(O)c1cc(F)ccc1O']; [0.999940872]
-Oc1ccc(F)cc1-c1nc2ccccc2[nH]1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['O=Cc1cc(F)ccc1O', 'O=C(O)c1cc(F)ccc1O']; [0.996525466, 0.996525466]
-Cn1nncc1-c1cc(F)ccc1O; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cc(F)ccc1O; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1nn(C)cc1Br']; ['Cc1nn(C)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999643922, 0.999643922, 0.999643922]
-Oc1ccc(F)cc1Nc1ncccn1; ['Nc1ncccn1']; ['Oc1ccc(F)cc1I']; [0.845296383]
-COc1ccc(-c2cc(F)ccc2O)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1']; ['Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.998470962, 0.998470962]
-Cc1cc(Nc2cc(F)ccc2O)sn1; ['Cc1cc(N)sn1']; ['Oc1ccc(F)cc1Br']; [0.999311686]
-O=C(Nc1ccccc1)c1ccc(-c2cc(F)ccc2O)cc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.999992847, 0.999992847, 0.999992847]
-Oc1ccc(F)cc1-c1cccc(F)c1; ['OB(O)c1cccc(F)c1', 'Fc1cccc(I)c1']; ['Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.996630967, 0.996630967]
-NC(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1']; ['Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.998785436, 0.998785436]
-OCCOc1ccc(-c2cc(F)ccc2O)cc1; ['OCCOc1ccccc1']; ['Oc1ccc(F)cc1Br']; [0.889411092]
-O=C(Nc1cc(F)ccc1O)C1CC1; ['Nc1cc(F)ccc1O']; ['O=C(O)C1CC1']; [0.999441445]
-Oc1ccc(F)cc1-c1cccc(C2CCNCC2)c1; ['Brc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OB(O)c1cc(F)ccc1O']; [0.999944448, 0.999944448]
-Oc1ccc(F)cc1Cc1nccc2ccccc12; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ccc(Cl)cc1; ['Clc1ccc(I)cc1', 'OB(O)c1ccc(Cl)cc1']; ['OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I']; [0.99809128, 0.99809128]
-Oc1ccc(F)cc1Nc1ccncn1; ['Clc1ccncn1']; ['Nc1cc(F)ccc1O']; [0.990715146]
-Cc1cc(-c2cc(F)ccc2O)nn1C; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ccc(C(F)(F)F)cc1; ['FC(F)(F)c1ccc(I)cc1']; ['Oc1ccc(F)cc1']; [0.761301875]
-C[C@H](O)COc1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc(F)ccc2O)s1; ['Cc1nc(C)c(Br)s1']; ['OB(O)c1cc(F)ccc1O']; [0.999600708]
-CN(C)c1ccc(-c2cc(F)ccc2O)cc1; ['CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999599636, 0.999599636]
-CNS(=O)(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1cc(F)ccc1O']; [0.978075683]
-Oc1ccccc1Cc1cc(F)ccc1O; ['OCc1ccccc1O']; ['Oc1ccc(F)cc1']; [0.885112345]
-Oc1ccc(F)cc1Cc1ccncc1; ['OCc1ccncc1']; ['Oc1ccc(F)cc1']; [0.836543679]
-OC[C@@H](O)Cc1cc(F)ccc1O; [None]; [None]; [0]
-Oc1ccc(F)cc1Cc1cccnc1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C']; ['ClCc1cccnc1']; [0.999724567]
-Oc1ccc(F)cc1-c1ccc(Br)cc1; ['Brc1ccc(I)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Brc1ccc(Br)cc1']; ['OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.997443914, 0.997443914, 0.997443914, 0.997443914]
-Oc1ccc(F)cc1-c1cnc(Cl)nc1; ['OB(O)c1cnc(Cl)nc1', 'Clc1ncc(Br)cn1']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999261558, 0.999261558]
-Oc1ccc(F)cc1-c1cncnc1; ['CC1(C)OB(c2cncnc2)OC1(C)C', 'Brc1cncnc1']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999967694, 0.999967694]
-COc1ccc(Cl)cc1-c1cc(F)ccc1O; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1I']; ['COc1ccc(Cl)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.999952197, 0.999952197, 0.999952197]
-Oc1ccc(F)cc1-n1ccnc1; ['Oc1ccc(F)cc1Br']; ['c1c[nH]cn1']; [0.997863948]
-COc1ccc(Cc2cc(F)ccc2O)cc1; ['COc1ccc(CO)cc1']; ['Oc1ccc(F)cc1']; [0.995643139]
-Oc1ccc(F)cc1-c1cn[nH]c1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'Brc1cn[nH]c1']; ['Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C']; [0.999920368, 0.999920368]
-Oc1ccc(F)cc1-c1c[nH]c2ccccc12; ['Oc1ccc(F)cc1I']; ['c1ccc2[nH]ccc2c1']; [0.779339612]
-Oc1ccc(F)cc1-c1ccc2c(c1)CCO2; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl']; [0.999973416, 0.999973416, 0.999973416, 0.999973416, 0.999973416]
-CC(=O)Nc1cccc(-c2cc(F)ccc2O)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999468863, 0.999468863]
-Oc1ccc(F)cc1-c1ccc[nH]1; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1cc2ccccc2cn1; ['Clc1cc2ccccc2cn1']; ['OB(O)c1cc(F)ccc1O']; [0.964003742]
-Oc1ccc(F)cc1Cn1ccnc1; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1scc2c1OCCO2; ['Oc1ccc(F)cc1I']; ['c1scc2c1OCCO2']; [0.999952793]
-COc1cc(-c2cc(F)ccc2O)ccc1O; ['COc1cc(I)ccc1O']; ['OB(O)c1cc(F)ccc1O']; [0.999316454]
-Oc1ccc(F)cc1-c1cnc2ccccc2c1; ['Brc1cnc2ccccc2c1']; ['OB(O)c1cc(F)ccc1O']; [0.997499764]
-Oc1ccc(F)cc1-c1cccc2c1OCO2; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ccc(F)c(F)c1; ['Fc1ccc(Br)cc1F', 'OB(O)c1ccc(F)c(F)c1']; ['OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br']; [0.999852896, 0.999852896]
-CC(C)(C)c1ccc(-c2cc(F)ccc2O)cc1; ['CC(C)(C)c1ccccc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1']; [0.971235216, 0.971235216]
-Oc1ccc(F)cc1-c1ccco1; ['Oc1ccc(F)cc1Br']; ['c1ccoc1']; [0.984219968]
-COCCOc1cc(F)ccc1O; ['COCCBr']; ['Oc1ccc(F)cc1O']; [0.889732778]
-Cc1cc(-c2cc(F)ccc2O)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['OB(O)c1cc(F)ccc1O']; [0.999394178]
-CC1(COc2cc(F)ccc2O)COC1; ['CC1(CBr)COC1', 'Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1']; ['Oc1ccc(F)cc1O', 'Oc1ccc(F)cc1O']; [0.983342767, 0.983342767]
-CSc1cccc(-c2cc(F)ccc2O)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CSc1cccc(B(O)O)c1']; ['Oc1ccc(F)cc1Br', 'CSc1cccc(Br)c1', 'Oc1ccc(F)cc1I']; [0.999985814, 0.999985814, 0.999985814]
-Oc1ccc(F)cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cc(F)ccc1O; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ccc(F)cc1Cl; ['Fc1ccc([Mg]Br)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(I)c(Cl)c1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.999531031, 0.999531031, 0.999531031]
-Oc1ccc(F)cc1[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-COc1ccc(-c2cc(F)ccc2O)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999723136, 0.999723136]
-Oc1ccc(F)cc1-c1ncc(Br)cn1; [None]; [None]; [0]
-CCc1ccc(-c2cc(F)ccc2O)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccccc1']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br']; [0.99971813, 0.99971813, 0.99971813]
-Oc1ccc(F)cc1-c1ccsc1; ['CC1(C)OB(c2ccsc2)OC1(C)C', 'Brc1ccsc1', 'OB(O)c1ccsc1', 'Brc1ccsc1']; ['Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999977231, 0.999977231, 0.999977231, 0.999977231]
-COc1ccc(CNc2cc(F)ccc2O)cc1; ['COc1ccc(CBr)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(C=O)cc1']; ['Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O']; [0.999550164, 0.999550164, 0.999550164]
-Oc1ccc(F)cc1-c1ccc(Cl)cc1Cl; ['OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999964714, 0.999964714]
-COc1ccc2cccc(-c3cc(F)ccc3O)c2c1; ['COc1ccc2ccccc2c1']; ['Oc1ccc(F)cc1Br']; [0.844011128]
-Cn1cc(-c2cc(F)ccc2O)c(C(F)(F)F)n1; ['Cn1cc(Br)c(C(F)(F)F)n1']; ['OB(O)c1cc(F)ccc1O']; [0.998018861]
-Cc1cc(C)cc(-c2cc(F)ccc2O)c1; ['Cc1cccc(C)c1']; ['Oc1ccc(F)cc1I']; [0.961695254]
-COc1cc(-c2cc(F)ccc2O)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br']; [0.999939442, 0.999939442, 0.999939442]
-COc1cc(F)c(-c2cc(F)ccc2O)cc1OC; ['COc1ccc(F)cc1OC']; ['Oc1ccc(F)cc1Br']; [0.925588667]
-Oc1ccc2cccc(-c3cc(F)ccc3O)c2c1; [None]; [None]; [0]
-Cc1nc(Nc2cc(F)ccc2O)sc1C; ['Cc1nc(Br)sc1C']; ['Nc1cc(F)ccc1O']; [0.991855741]
-Cc1ccc(-c2cc(F)ccc2O)o1; ['Cc1ccco1', 'Cc1ccco1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I']; [0.9984321, 0.9984321]
-Cc1cc(Nc2cc(F)ccc2O)nn1C; [None]; [None]; [0]
-COc1cc(-c2cc(F)ccc2O)c(OC)cc1Br; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Br)c1', 'COc1cc(Br)c(OC)cc1Br']; ['Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.984333217, 0.984333217, 0.984333217]
-CC(C)Oc1cc(F)ccc1O; ['CC(C)I']; ['Oc1ccc(F)cc1O']; [0.862531483]
-COc1cc(OC)cc(-c2cc(F)ccc2O)c1; ['COc1cccc(OC)c1']; ['Oc1ccc(F)cc1Br']; [0.869927227]
-Oc1ccc(F)cc1-c1ccc2cn[nH]c2c1; ['Brc1ccc2cn[nH]c2c1']; ['OB(O)c1cc(F)ccc1O']; [0.995549321]
-CCn1cc(-c2cc(F)ccc2O)cn1; ['CCn1cc(Br)cn1']; ['OB(O)c1cc(F)ccc1O']; [0.959295034]
-CNC(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1']; ['Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.998616695, 0.998616695]
-Oc1ccc(F)cc1-c1cc2ccccc2o1; ['Oc1ccc(F)cc1Br']; ['c1ccc2occc2c1']; [0.998202205]
-Oc1ccc(F)cc1-c1cscn1; ['Brc1cscn1']; ['OB(O)c1cc(F)ccc1O']; [0.997057319]
-Oc1ccc(F)cc1-c1ccc(OC(F)(F)F)cc1; ['FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccc([Mg]Br)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1']; [0.997361839, 0.997361839, 0.997361839]
-COC(=O)Nc1cc(F)ccc1O; ['COC(=O)Cl']; ['Nc1cc(F)ccc1O']; [0.998916149]
-O=C1CCCN1c1cccc(-c2cc(F)ccc2O)c1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1']; ['O=C1CCCN1c1cccc(Br)c1', 'OB(O)c1cc(F)ccc1O']; [0.999937057, 0.999937057]
-Cc1ccc(-c2cc(F)ccc2O)nc1C; [None]; [None]; [0]
-Oc1ccc(F)cc1Nc1ccc(F)cn1; ['Fc1ccc(Br)nc1']; ['Nc1cc(F)ccc1O']; [0.999004304]
-CCc1cccc(-c2cc(F)ccc2O)n1; [None]; [None]; [0]
-OCCc1ccc(-c2cc(F)ccc2O)cc1; ['OB(O)c1cc(F)ccc1O']; ['OCCc1ccc(I)cc1']; [0.985783696]
-Oc1ccc(F)cc1Nc1ccccn1; ['Clc1ccccn1', 'Nc1ccccn1', 'Nc1ccccn1']; ['Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I']; [0.996894121, 0.996894121, 0.996894121]
-COc1cc(N2CCNCC2)ccc1-c1cc(F)ccc1O; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1']; ['N#Cc1ccc(B(O)O)cc1']; [0.999985933]
-COc1ncccc1-c1ccc2nccnc2c1; ['Brc1ccc2nccnc2c1']; ['COc1ncccc1B(O)O']; [0.999783456]
-CCOc1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1']; ['CCOc1ccc(B(O)O)cc1']; [0.999949217]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc(F)ccc2O)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['OB(O)c1cc(F)ccc1O']; [0.999579489]
-CS(=O)(=O)c1cccc(-c2ccc3nccnc3c2)c1; ['Brc1ccc2nccnc2c1']; ['CS(=O)(=O)c1cccc(B(O)O)c1']; [0.999926329]
-COc1cc(-c2ccc3nccnc3c2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'Brc1ccc2nccnc2c1']; ['Clc1ccc2nccnc2c1', 'COc1cc(Br)cc(OC)c1OC']; [0.999239445, 0.999239445]
-Cc1n[nH]cc1-c1ccc2nccnc2c1; ['Brc1ccc2nccnc2c1']; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; [0.999972939]
-Cn1cc(-c2ccc3nccnc3c2)cn1; ['Brc1ccc2nccnc2c1']; ['Cn1cc(B(O)O)cn1']; [0.999817669]
-c1cnn2c(-c3ccc4nccnc4c3)cnc2c1; ['Brc1ccc2nccnc2c1']; ['c1cnn2ccnc2c1']; [0.999807775]
-Cn1nncc1-c1ccc2nccnc2c1; ['Brc1ccc2nccnc2c1']; ['Cn1ccnn1']; [0.999526501]
-Oc1cccc(-c2ccc3nccnc3c2)c1; ['Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1']; ['OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1']; [0.999560654, 0.999560654, 0.999560654]
-c1ccc2[nH]c(-c3ccc4nccnc4c3)nc2c1; ['Nc1ccccc1N']; ['O=C(O)c1ccc2nccnc2c1']; [0.986247599]
-Cc1nn(C)cc1-c1ccc2nccnc2c1; ['Brc1ccc2nccnc2c1']; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; [0.999971509]
-COc1ccc(-c2ccc3nccnc3c2)cc1; ['COc1ccc(B(O)O)cc1']; ['Clc1ccc2nccnc2c1']; [0.999663]
-NC(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C']; [0.999998689]
-c1cnc(Nc2ccc3nccnc3c2)nc1; ['Clc1ncccn1', 'Clc1ccc2nccnc2c1']; ['Nc1ccc2nccnc2c1', 'Nc1ncccn1']; [0.999085546, 0.999085546]
-Cc1cc(Nc2ccc3nccnc3c2)sn1; ['Cc1cc(N)sn1']; ['Nc1ccc2nccnc2c1']; [0.999699831]
-Fc1cccc(-c2ccc3nccnc3c2)c1; ['Clc1ccc2nccnc2c1']; ['OB(O)c1cccc(F)c1']; [0.995777488]
-O=C(Nc1ccccc1)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C']; [0.999999166]
-O=C(Nc1ccc2nccnc2c1)C1CC1; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1']; ['O=C(O)C1CC1', 'O=CC1CC1']; [0.999992728, 0.999992728]
-c1ccc2c(Cc3ccc4nccnc4c3)nccc2c1; [None]; [None]; [0]
-Clc1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1']; ['OB(O)c1ccc(Cl)cc1']; [0.999753892]
-c1cc(Nc2ccc3nccnc3c2)ncn1; ['Clc1ccncn1']; ['Nc1ccc2nccnc2c1']; [0.999989152]
-c1cc(-c2ccc3nccnc3c2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-OCCOc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3nccnc3c2)cc1; ['CN(C)c1ccc(B(O)O)cc1']; ['Clc1ccc2nccnc2c1']; [0.999934793]
-Cc1cc(-c2ccc3nccnc3c2)nn1C; [None]; [None]; [0]
-c1cc(Cc2ccc3nccnc3c2)ccn1; ['BrCc1ccncc1']; ['Brc1ccc2nccnc2c1']; [0.988140941]
-Oc1ccccc1Cc1ccc2nccnc2c1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.999985933]
-Clc1ncc(-c2ccc3nccnc3c2)cn1; ['Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['CC1(C)OB(c2cnc(Cl)nc2)OC1(C)C', 'OB(O)c1cnc(Cl)nc1']; [0.999515414, 0.999515414]
-c1cncc(Cc2ccc3nccnc3c2)c1; ['BrCc1cccnc1']; ['Brc1ccc2nccnc2c1']; [0.969986916]
-Cc1nc(C)c(-c2ccc3nccnc3c2)s1; [None]; [None]; [0]
-c1ncc(-c2ccc3nccnc3c2)cn1; ['Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['CC1(C)OB(c2cncnc2)OC1(C)C', 'Brc1cncnc1']; [0.999982476, 0.999982476]
-c1cn(-c2ccc3nccnc3c2)cn1; ['Brc1ccc2nccnc2c1']; ['c1c[nH]cn1']; [0.999881506]
-COc1ccc(Cc2ccc3nccnc3c2)cc1; ['COc1ccccc1', 'COc1ccccc1']; ['OCc1ccc2nccnc2c1', 'O=Cc1ccc2nccnc2c1']; [0.778992116, 0.778992116]
-OC[C@@H](O)Cc1ccc2nccnc2c1; [None]; [None]; [0]
-Brc1ccc(-c2ccc3nccnc3c2)cc1; ['Clc1ccc2nccnc2c1']; ['OB(O)c1ccc(Br)cc1']; [0.996145725]
-c1cnc2cc(-c3cn[nH]c3)ccc2n1; ['Clc1ccc2nccnc2c1']; ['OB(O)c1cn[nH]c1']; [0.99886]
-COc1ccc(Cl)cc1-c1ccc2nccnc2c1; ['Brc1ccc2nccnc2c1']; ['COc1ccc(Cl)cc1Br']; [0.983019292]
-c1cnc2cc(-c3ccc4c(c3)CCO4)ccc2n1; ['Brc1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C']; [0.999997616]
-c1ccc2c(-c3ccc4nccnc4c3)c[nH]c2c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc3nccnc3c2)c1; ['Brc1ccc2nccnc2c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; [0.999969602]
-c1cn(Cc2ccc3nccnc3c2)cn1; ['O=C(n1ccnc1)n1ccnc1']; ['OCc1ccc2nccnc2c1']; [0.992776275]
-c1c[nH]c(-c2ccc3nccnc3c2)c1; [None]; [None]; [0]
-COc1cc(-c2ccc3nccnc3c2)ccc1O; ['Brc1ccc2nccnc2c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; [0.999960661]
-c1ccc2cc(-c3ccc4nccnc4c3)ncc2c1; [None]; [None]; [0]
-Fc1ccc(-c2ccc3nccnc3c2)cc1F; ['Brc1ccc2nccnc2c1']; ['OB(O)c1ccc(F)c(F)c1']; [0.999982476]
-c1cnc2cc(-c3scc4c3OCCO4)ccc2n1; [None]; [None]; [0]
-c1ccc2ncc(-c3ccc4nccnc4c3)cc2c1; ['Brc1ccc2nccnc2c1']; ['OB(O)c1cnc2ccccc2c1']; [0.999880314]
-c1cc2c(c(-c3ccc4nccnc4c3)c1)OCO2; [None]; [None]; [0]
-c1coc(-c2ccc3nccnc3c2)c1; ['Brc1ccc2nccnc2c1']; ['c1ccoc1']; [0.988779783]
-CC(C)(C)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1']; ['CC(C)(C)c1ccc(Br)cc1']; [0.99484849]
-COCCOc1ccc2nccnc2c1; ['Brc1ccc2nccnc2c1']; ['COCCO']; [0.999798477]
-CC1(COc2ccc3nccnc3c2)COC1; ['CC1(CO)COC1']; ['O=[N+]([O-])c1ccc2nccnc2c1']; [0.781464279]
-O[C@@H]1CC[C@@H](c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
-CSc1cccc(-c2ccc3nccnc3c2)c1; ['Brc1ccc2nccnc2c1']; ['CSc1cccc(B(O)O)c1']; [0.996379793]
-Cc1cc(-c2ccc3nccnc3c2)nc(N)n1; [None]; [None]; [0]
-Fc1ccc(-c2ccc3nccnc3c2)c(Cl)c1; ['Brc1ccc2nccnc2c1']; ['Fc1cccc(Cl)c1']; [0.979405344]
-COc1ccc(-c2ccc3nccnc3c2)cc1OC; ['Brc1ccc2nccnc2c1']; ['COc1ccc(Br)cc1OC']; [0.944657445]
-O[C@@H]1CC[C@H](c2ccc3nccnc3c2)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ccc2nccnc2c1; [None]; [None]; [0]
-Clc1ccc(-c2ccc3nccnc3c2)c(Cl)c1; ['Brc1ccc2nccnc2c1']; ['Clc1cccc(Cl)c1']; [0.844935894]
-CCc1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'CCc1ccc(B(O)O)cc1']; ['CCc1ccc(B(O)O)cc1', 'Clc1ccc2nccnc2c1']; [0.999868274, 0.999868274]
-c1cnc2cc(-c3ccsc3)ccc2n1; ['Brc1ccc2nccnc2c1']; ['OB(O)c1ccsc1']; [0.999949813]
-Cn1cc(-c2ccc3nccnc3c2)c(C(F)(F)F)n1; ['Brc1ccc2nccnc2c1']; ['Cn1ccc(C(F)(F)F)n1']; [0.998126]
-Brc1cnc(-c2ccc3nccnc3c2)nc1; [None]; [None]; [0]
-COc1ccc(CNc2ccc3nccnc3c2)cc1; ['COc1ccc(CCl)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1']; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1']; [0.999792159, 0.999792159, 0.999792159, 0.999792159]
-Cc1cc(C)cc(-c2ccc3nccnc3c2)c1; ['Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cc(C)cc(B(O)O)c1']; [0.999992251, 0.999992251]
-COc1ccc2cccc(-c3ccc4nccnc4c3)c2c1; [None]; [None]; [0]
-COc1cc(-c2ccc3nccnc3c2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['Clc1ccc2nccnc2c1']; [0.998037159]
-COc1cc(F)c(-c2ccc3nccnc3c2)cc1OC; [None]; [None]; [0]
-Cc1ccc(-c2ccc3nccnc3c2)o1; ['Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['Cc1ccc(B(O)O)o1', 'Cc1ccco1']; [0.999717772, 0.999717772]
-Cc1cc(Nc2ccc3nccnc3c2)nn1C; ['Brc1ccc2nccnc2c1', 'Cc1cc(N)nn1C']; ['Cc1cc(N)nn1C', 'Clc1ccc2nccnc2c1']; [0.999933958, 0.999933958]
-Oc1ccc2cccc(-c3ccc4nccnc4c3)c2c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc3nccnc3c2)c1; ['Brc1ccc2nccnc2c1', 'COc1cc(OC)cc(B(O)O)c1']; ['COc1cc(OC)cc(B(O)O)c1', 'Clc1ccc2nccnc2c1']; [0.999962807, 0.999962807]
-Cc1nc(Nc2ccc3nccnc3c2)sc1C; ['Brc1ccc2nccnc2c1']; ['Cc1nc(N)sc1C']; [0.999995351]
-CCn1cc(-c2ccc3nccnc3c2)cn1; ['Brc1ccc2nccnc2c1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999997]
-c1cnc2cc(-c3ccc4cn[nH]c4c3)ccc2n1; ['Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1']; [0.999998, 0.999998]
-c1ccc2oc(-c3ccc4nccnc4c3)cc2c1; ['Brc1ccc2nccnc2c1']; ['c1ccc2occc2c1']; [0.999404073]
-COC(=O)Nc1ccc2nccnc2c1; ['COC(=O)Cl']; ['Nc1ccc2nccnc2c1']; [0.999941587]
-COc1cc(-c2ccc3nccnc3c2)c(OC)cc1Br; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2ccc3nccnc3c2)cc1; ['Clc1ccc2nccnc2c1']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999996424]
-CC(C)Oc1ccc2nccnc2c1; ['Brc1ccc2nccnc2c1']; ['CC(C)O']; [0.998845577]
-CNC(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; [0.999999404, 0.999999404]
-CCc1cccc(-c2ccc3nccnc3c2)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3nccnc3c2)nc1C; [None]; [None]; [0]
-c1cnc2cc(-c3cscn3)ccc2n1; [None]; [None]; [0]
-OCCc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-c1ccc(Nc2ccc3nccnc3c2)nc1; ['Clc1ccccn1', 'Fc1ccccn1']; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1']; [0.999919891, 0.999919891]
-COc1cc(N2CCNCC2)ccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccc3nccnc3c2)c1; ['Brc1ccc2nccnc2c1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; [0.99010241]
-O=C1CCCN1c1cccc(-c2ccc3nccnc3c2)c1; [None]; [None]; [0]
-Fc1ccc(Nc2ccc3nccnc3c2)nc1; ['Fc1ccc(Br)nc1', 'Fc1ccc(Cl)nc1', 'Fc1ccc(F)nc1', 'Clc1ccc2nccnc2c1']; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc(F)cn1']; [0.999983191, 0.999983191, 0.999983191, 0.999983191]
-CCOc1ccc(-c2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]nc2C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cccc(S(C)(=O)=O)c2)[nH]n1; ['CS(=O)(=O)c1cccc(B(O)O)c1']; ['Cc1cc(Cl)[nH]n1']; [0.998014]
-Cc1cc(-c2ccc(C#N)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cnnn2C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cnn(C)c2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.993568659]
-COc1ncccc1-c1cc(C)n[nH]1; ['COc1ncccc1B(O)O']; ['Cc1cc(Cl)[nH]n1']; [0.972987533]
-Cc1cc(-c2cccc(O)c2)[nH]n1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['Cc1cc(I)[nH]n1']; [0.996695876]
-Cc1cc(-c2cn(C)nc2C)[nH]n1; [None]; [None]; [0]
-COc1cc(-c2cc(C)n[nH]2)cc(OC)c1OC; [None]; [None]; [0]
-COc1ccc(-c2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C)ns2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cnc3cccnn23)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(N)=O)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)[nH]n1; ['Cc1cc(I)[nH]n1']; ['O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999962]
-Cc1cc(Cc2nccc3ccccc23)[nH]n1; [None]; [None]; [0]
-Cc1cc(NC(=O)C2CC2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['O=C(Cl)C1CC1']; [0.998331845]
-Cc1cc(-c2nc3ccccc3[nH]2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ncccn2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['Clc1ncccn1']; [0.933529258]
-Cc1cc(-c2ccc(Cl)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccncn2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['Clc1ccncn1']; [0.976733565]
-Cc1cc(-c2cccc(C3CCNCC3)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cccc(F)c2)[nH]n1; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C']; ['Cc1cc(I)[nH]n1']; [0.999649644]
-CNS(=O)(=O)c1ccc(-c2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc(OC[C@H](C)O)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(OCCO)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N(C)C)cc2)[nH]n1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1cc(I)[nH]n1']; [0.999885201]
-Cc1cc(-c2cc(C)n(C)n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Cc2ccccc2O)[nH]n1; [None]; [None]; [0]
-Cc1cc(Cc2ccncc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(F)(F)F)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Cc2cccnc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cnc(Cl)nc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cncnc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2sc(C)nc2C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-n2ccnc2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['c1c[nH]cn1']; [0.958786786]
-COc1ccc(Cc2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(C[C@H](O)CO)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(Br)cc2)[nH]n1; []; []; []
-Cc1cc(-c2cn[nH]c2)[nH]n1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc(C)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c3ccccc23)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)CCO3)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(C)n[nH]2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Cc1cc(I)[nH]n1']; [0.999965668]
-Cc1cc(-c2ccc[nH]2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Cn2ccnc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cc3ccccc3cn2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2scc3c2OCCO3)[nH]n1; [None]; [None]; [0]
-COc1cc(-c2cc(C)n[nH]2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Cc1cc(I)[nH]n1']; [0.999752462]
-Cc1cc(-c2cccc3c2OCO3)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cnc3ccccc3c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(F)c(F)c2)[nH]n1; ['CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C']; ['Cc1cc(I)[nH]n1']; [0.999978542]
-Cc1cc(-c2ccc(C(C)(C)C)cc2)[nH]n1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1cc(I)[nH]n1']; [0.999905109]
-Cc1cc(-c2ccco2)[nH]n1; [None]; [None]; [0]
-COCCOc1cc(C)n[nH]1; [None]; [None]; [0]
-Cc1cc(OCC2(C)COC2)[nH]n1; ['CC1(CBr)COC1']; ['Cc1cc(O)[nH]n1']; [0.950188935]
-Cc1cc([C@@H]2CC[C@@H](O)CC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cc(C)nc(N)n2)[nH]n1; [None]; [None]; [0]
-CSc1cccc(-c2cc(C)n[nH]2)c1; [None]; [None]; [0]
-Cc1cc([C@H]2CC[C@@H](O)C2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(F)cc2Cl)[nH]n1; [None]; [None]; [0]
-Cc1cc([C@H](CO)Cc2ccccc2)[nH]n1; [None]; [None]; [0]
-CCc1ccc(-c2cc(C)n[nH]2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1cc(I)[nH]n1']; [0.999834538]
-COc1ccc(-c2cc(C)n[nH]2)cc1OC; [None]; [None]; [0]
-Cc1cc(-c2ncc(Br)cn2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccsc2)[nH]n1; []; []; []
-Cc1cc(-c2ccc(Cl)cc2Cl)[nH]n1; [None]; [None]; [0]
-COc1ccc(CNc2cc(C)n[nH]2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1']; ['Cc1cc(Cl)[nH]n1', 'Cc1cc(N)[nH]n1']; [0.986688316, 0.986688316]
-COc1ccc2cccc(-c3cc(C)n[nH]3)c2c1; [None]; [None]; [0]
-Cc1cc(-c2cn(C)nc2C(F)(F)F)[nH]n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc(C)n[nH]2)c1; [None]; [None]; [0]
-Cc1cc(-c2cccc3ccc(O)cc23)[nH]n1; [None]; [None]; [0]
-COc1cc(-c2cc(C)n[nH]2)ccc1Cl; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(C)n[nH]2)cc1OC; [None]; [None]; [0]
-Cc1cc(Nc2nc(C)c(C)s2)[nH]n1; [None]; [None]; [0]
-COc1cc(-c2cc(C)n[nH]2)c(OC)cc1Br; [None]; [None]; [0]
-Cc1cc(-c2ccc(C)o2)[nH]n1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(C)n[nH]2)c1; [None]; [None]; [0]
-CCn1cc(-c2cc(C)n[nH]2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cc1cc(Cl)[nH]n1']; [0.996548831]
-Cc1cc(OC(C)C)[nH]n1; ['CC(C)O']; ['Cc1cc(O)[nH]n1']; [0.983764589]
-COC(=O)Nc1cc(C)n[nH]1; ['COC(=O)Cl']; ['Cc1cc(N)[nH]n1']; [0.979299724]
-Cc1cc(-c2ccc3cn[nH]c3c2)[nH]n1; ['Cc1cc(I)[nH]n1']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999961615]
-CNC(=O)c1ccc(-c2cc(C)n[nH]2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['Cc1cc(Cl)[nH]n1']; [0.999934435]
-Cc1cc(-c2cc3ccccc3o2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cscn2)[nH]n1; [None]; [None]; [0]
-CCc1cccc(-c2cc(C)n[nH]2)n1; [None]; [None]; [0]
-Cc1cc(-c2cccc(N3CCCC3=O)c2)[nH]n1; ['Cc1cc(-c2cccc(Br)c2)[nH]n1']; ['O=C1CCCN1']; [0.995162427]
-Cc1cc(-c2ccc(OC(F)(F)F)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(F)cn2)[nH]n1; ['Cc1cc(N)[nH]n1', 'Cc1cc(N)[nH]n1']; ['Fc1ccc(Br)nc1', 'Fc1ccc(Cl)nc1']; [0.994562089, 0.994562089]
-Cc1cc(-c2ccc(C)c(C)n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(CCO)cc2)[nH]n1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(C#N)cc2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1']; ['N#Cc1ccc(N)cc1', 'N#Cc1ccc(Br)cc1', 'N#Cc1ccc(N)cc1']; [0.999441445, 0.999441445, 0.999441445]
-Cc1cc(Nc2ccccn2)[nH]n1; ['Brc1ccccn1']; ['Cc1cc(N)[nH]n1']; [0.916485488]
-CCOc1ccc(Nc2ccc(C)cn2)cc1; ['CCOc1ccc(N)cc1', 'CCOc1ccc(Br)cc1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1']; [0.999547184, 0.999547184]
-COc1cc(N2CCNCC2)ccc1-c1cc(C)n[nH]1; [None]; [None]; [0]
-COc1ncccc1Nc1ccc(C)cn1; ['COc1ncccc1N', 'COc1ncccc1N', 'COc1ncccc1Br']; ['Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.996477664, 0.996477664, 0.996477664]
-Cc1ccc(Nc2cccc(S(C)(=O)=O)c2)nc1; ['CS(=O)(=O)c1cccc(N)c1']; ['Cc1ccc(Br)nc1']; [0.999967694]
-COc1cc(Nc2ccc(C)cn2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.999718964, 0.999718964, 0.999718964]
-Cc1cc(-c2cc(S(C)(=O)=O)ccc2Cl)[nH]n1; [None]; [None]; [0]
-Cc1ccc(Nc2cnn(C)c2)nc1; ['Cc1ccc(Br)nc1']; ['Cn1cc(N)cn1']; [0.999685645]
-Cc1ccc(Nc2c[nH]nc2C)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cccc(O)c2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1']; ['Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Cl)c1', 'Nc1cccc(O)c1']; [0.997235715, 0.997235715, 0.997235715, 0.997235715, 0.997235715]
-Cc1ccc(Nc2cnc3cccnn23)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2nc3ccccc3[nH]2)nc1; ['Cc1ccc(N)nc1']; ['Clc1nc2ccccc2[nH]1']; [0.975301564]
-Cc1ccc(Nc2cnnn2C)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(C(N)=O)cc2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1']; ['NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(I)cc1']; [0.999845862, 0.999845862, 0.999845862]
-Cc1ccc(Nc2ccc(C(=O)Nc3ccccc3)cc2)nc1; ['Cc1ccc(N)nc1']; ['O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.990772]
-Cc1ccc(Nc2cn(C)nc2C)nc1; ['Cc1ccc(Br)nc1']; ['Cc1nn(C)cc1N']; [0.999236345]
-Cc1ccc(NCc2nccc3ccccc23)nc1; ['Cc1ccc(F)nc1']; ['NCc1nccc2ccccc12']; [0.995879054]
-COc1ccc(Nc2ccc(C)cn2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(Cl)cc1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1']; [0.998311281, 0.998311281]
-Cc1ccc(Nc2ccc(Cl)cc2)nc1; ['Cc1ccc(N)nc1', 'Cc1ccc(F)nc1']; ['OB(O)c1ccc(Cl)cc1', 'Nc1ccc(Cl)cc1']; [0.989253104, 0.989253104]
-Cc1ccc(NCCCO)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['NCCCO', 'OCCCCl', 'OCCCBr']; [0.997729361, 0.997729361, 0.997729361]
-Cc1ccc(NNc2ncccn2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(C)n(C)n2)nc1; ['Cc1cc(N)nn1C']; ['Cc1ccc(F)nc1']; [0.999426961]
-Cc1ccc(Nc2cccc(F)c2)nc1; ['Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Fc1cccc(Cl)c1', 'Fc1cccc(Br)c1']; [0.998254359, 0.998254359]
-Cc1ccc(Nc2cccc(C3CCNCC3)c2)nc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2ccc(C)cn2)cc1; ['CNS(=O)(=O)c1ccc(Cl)cc1']; ['Cc1ccc(N)nc1']; [0.95836556]
-Cc1ccc(Nc2ccc(C(F)(F)F)cc2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'Fc1ccc(C(F)(F)F)cc1']; [0.997008622, 0.997008622, 0.997008622, 0.997008622, 0.997008622]
-Cc1ccc(Nc2ccc(OCCO)cc2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cnc(Cl)nc2)nc1; ['Cc1ccc(N)nc1']; ['Clc1ncc(I)cn1']; [0.974972069]
-Cc1ccc(Nc2sc(C)nc2C)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(Br)cc2)nc1; ['Brc1ccc(I)cc1', 'Cc1ccc(N)nc1', 'Brc1ccc(Br)cc1']; ['Cc1ccc(N)nc1', 'OB(O)c1ccc(Br)cc1', 'Cc1ccc(N)nc1']; [0.991413236, 0.991413236, 0.991413236]
-COc1ccc(Cl)cc1Nc1ccc(C)cn1; ['COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1N']; ['Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1']; [0.999558508, 0.999558508, 0.999558508]
-Cc1ccc(Nc2ccc(OC[C@H](C)O)cc2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(N(C)C)cc2)nc1; ['CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.997416258, 0.997416258, 0.997416258]
-Cc1ccc(Nc2cncnc2)nc1; ['Brc1cncnc1']; ['Cc1ccc(N)nc1']; [0.994043529]
-Cc1ccc(Nc2cn[nH]c2)nc1; ['Cc1ccc(F)nc1']; ['Nc1cn[nH]c1']; [0.99867177]
-Cc1ccc(Nc2c[nH]c3ccccc23)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cc3ccccc3cn2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; ['Nc1cc2ccccc2cn1', 'Nc1cc2ccccc2cn1', 'Nc1cc2ccccc2cn1', 'Clc1cc2ccccc2cn1']; [0.998558, 0.998558, 0.998558, 0.998558]
-Cc1ccc(Nc2ccc[nH]2)nc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(Nc2ccc(C)cn2)c1; ['CC(=O)Nc1cccc(Br)c1']; ['Cc1ccc(N)nc1']; [0.993953645]
-Cc1ccc(Nc2ccc3c(c2)CCO3)nc1; ['Cc1ccc(Br)nc1']; ['Nc1ccc2c(c1)CCO2']; [0.999739468]
-COc1cc(Nc2ccc(C)cn2)ccc1O; ['COc1cc(N)ccc1O']; ['Cc1ccc(Br)nc1']; [0.99724257]
-Cc1ccc(Nc2cccc3c2OCO3)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(F)c(F)c2)nc1; ['Cc1ccc(N)nc1']; ['Fc1ccc(Br)cc1F']; [0.999609768]
-Cc1ccc(Nc2scc3c2OCCO3)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(C(C)(C)C)cc2)nc1; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1']; ['Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.997611165, 0.997611165]
-Cc1ccc(Nc2cnc3ccccc3c2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; [0.998661041, 0.998661041]
-CSc1cccc(Nc2ccc(C)cn2)c1; ['CSc1cccc(N)c1']; ['Cc1ccc(Br)nc1']; [0.999810398]
-Cc1ccc(Nc2cc(C)nc(N)n2)nc1; ['Cc1cc(Cl)nc(N)n1']; ['Cc1ccc(N)nc1']; [0.979410768]
-Cc1ccc(Nc2ccco2)nc1; [None]; [None]; [0]
-CC[C@@H](CO)Nc1ccc(C)cn1; ['CC[C@H](N)CO', 'CC[C@H](N)CO']; ['Cc1ccc(F)nc1', 'Cc1ccc(Br)nc1']; [0.968443692, 0.968443692]
-Cc1ccc(Nc2ccc(F)cc2Cl)nc1; ['Cc1ccc(N)nc1']; ['Fc1ccc(Br)c(Cl)c1']; [0.999811]
-Cc1ccc(Nc2ncc(Br)cn2)nc1; ['Brc1cnc(I)nc1', 'Cc1ccc(Br)nc1']; ['Cc1ccc(N)nc1', 'Nc1ncc(Br)cn1']; [0.999699712, 0.999699712]
-COc1ccc(Nc2ccc(C)cn2)cc1OC; ['COc1ccc(Br)cc1OC']; ['Cc1ccc(N)nc1']; [0.998007596]
-Cc1ccc(Nc2ccc(Cl)cc2Cl)nc1; ['Cc1ccc(F)nc1']; ['Nc1ccc(Cl)cc1Cl']; [0.998550832]
-Cc1ccc(N[C@@H]2CC[C@@H](O)CC2)nc1; ['Cc1ccc(Br)nc1']; ['N[C@H]1CC[C@H](O)CC1']; [0.999310613]
-Cc1ccc(Nc2ccsc2)nc1; ['Cc1ccc(Cl)nc1']; ['Nc1ccsc1']; [0.99979]
-Cc1ccc(Nc2cc(C)cc(C)c2)nc1; ['Cc1cc(C)cc(N)c1', 'Cc1cc(C)cc(N)c1', 'Cc1cc(C)cc(Br)c1', 'Cc1cc(C)cc(N)c1', 'Cc1cc(C)cc(Cl)c1', 'Cc1cc(C)cc(I)c1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.999935031, 0.999935031, 0.999935031, 0.999935031, 0.999935031, 0.999935031]
-Cc1ccc(N[C@H]2CC[C@@H](O)C2)nc1; [None]; [None]; [0]
-CCc1ccc(Nc2ccc(C)cn2)cc1; ['CCc1ccc(Br)cc1', 'CCc1ccc(Cl)cc1']; ['Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.995026052, 0.995026052]
-COc1ccc2cccc(Nc3ccc(C)cn3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(Nc2ccc(C)cn2)cc1OC; ['COc1cc(F)c(F)cc1OC']; ['Cc1ccc(N)nc1']; [0.989473045]
-COc1cc(Nc2ccc(C)cn2)ccc1Cl; ['COc1cc(N)ccc1Cl']; ['Cc1ccc(Br)nc1']; [0.999975204]
-Cc1ccc(Nc2cn(C)nc2C(F)(F)F)nc1; ['Cc1ccc(N)nc1']; ['Cn1cc(Br)c(C(F)(F)F)n1']; [0.999469936]
-COc1cc(Nc2ccc(C)cn2)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['Cc1ccc(N)nc1']; [0.924478233]
-Cc1ccc(Nc2cccc3ccc(O)cc23)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1']; ['Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12']; [0.992986739, 0.992986739]
-COc1cc(Nc2ccc(C)cn2)cc(OC)c1; ['COc1cc(N)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(N)cc(OC)c1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1']; [0.999556839, 0.999556839, 0.999556839]
-CNC(=O)c1ccc(Nc2ccc(C)cn2)cc1; ['CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(I)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1']; [0.999615192, 0.999615192]
-Cc1ccc(Nc2ccc(C)o2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc3cn[nH]c3c2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Brc1ccc2cn[nH]c2c1']; ['Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Cc1ccc(N)nc1']; [0.999305844, 0.999305844, 0.999305844]
-Cc1ccc(Nc2cc3ccccc3o2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(OC(F)(F)F)cc2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1']; [0.999962687, 0.999962687]
-CCc1cccc(Nc2ccc(C)cn2)n1; ['CCc1cccc(N)n1']; ['Cc1ccc(Br)nc1']; [0.997432411]
-Cc1ccc(Nc2ccc(C)c(C)n2)nc1; ['Cc1ccc(Cl)nc1']; ['Cc1ccc(N)nc1C']; [0.998357952]
-Cc1ccc(Nc2ccc(CCO)cc2)nc1; ['Cc1ccc(Br)nc1']; ['Nc1ccc(CCO)cc1']; [0.999032497]
-Cc1ccc(Nc2cscn2)nc1; ['Cc1ccc(N)nc1', 'Brc1cscn1']; ['Clc1cscn1', 'Cc1ccc(N)nc1']; [0.998223722, 0.998223722]
-Cc1ccc(Nc2cccc(N3CCCC3=O)c2)nc1; ['Cc1ccc(N)nc1']; ['O=C1CCCN1c1cccc(Br)c1']; [0.990880489]
-COc1cc(N2CCNCC2)ccc1Nc1ccc(C)cn1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(S(C)(=O)=O)ccc2Cl)nc1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Cc1ccc(N)nc1']; [0.9996804]
-CNC(=O)c1ccccc1-c1ccnc(CO)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(Cc2cc(F)cc(F)c2)ccn1; [None]; [None]; [0]
-OCc1cc([C@@H]2C[C@H](O)C2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2ccnc3ccccc23)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cccc(C(F)(F)F)c2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cc[nH]n2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2ccccc2Cl)ccn1; [None]; [None]; [0]
-OCc1cc(-c2ccccc2Br)ccn1; [None]; [None]; [0]
-OCc1cc(-c2ccccc2F)ccn1; [None]; [None]; [0]
-OCc1cc(-c2ccccc2OC(F)(F)F)ccn1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ccnc(CO)c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(-c2c(F)cccc2F)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cnc(-c3ccccc3)[nH]2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cnn(Cc3ccccc3)c2)ccn1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['OCc1cc(Br)ccn1']; [0.99999845]
-N[C@H](c1ccnc(CO)c1)c1ccco1; [None]; [None]; [0]
-OCCn1cc(-c2ccnc(CO)c2)cn1; [None]; [None]; [0]
-OCc1cc(-c2ccncn2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2ccc3c(c2)CCC3)ccn1; [None]; [None]; [0]
-Cc1ccc(-c2ccnc(CO)c2)c(Br)c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccnc(CO)c2)c1)c1ccccc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccnc(CO)c2)s1; [None]; [None]; [0]
-OCc1cc(-c2cnc3ccccn23)ccn1; [None]; [None]; [0]
-OCc1cc(-c2c(Cl)cccc2Cl)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cnc3cccnn23)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cnco2)ccn1; [None]; [None]; [0]
-OCc1cc(OC2CCCCC2)ccn1; ['OC1CCCCC1']; ['OCc1cc(Cl)ccn1']; [0.907595575]
-Cc1nc(N)sc1-c1ccnc(CO)c1; ['Cc1csc(N)n1']; ['OCc1cc(Br)ccn1']; [0.916632771]
-Cc1ccc(Cl)c(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
-OCc1cc(NCc2cccnc2)ccn1; ['NCc1cccnc1']; ['OCc1cc(Cl)ccn1']; [0.983600914]
-CC(C)(C)Nc1ccnc(CO)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccnc(CO)c2)[nH]1; [None]; [None]; [0]
-OCc1cc(-c2cccc(Cl)c2Cl)ccn1; [None]; [None]; [0]
-COc1cccc(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
-OCc1cc(-c2ccc3ccccc3c2)ccn1; [None]; [None]; [0]
-Nc1nccc(-c2ccnc(CO)c2)n1; [None]; [None]; [0]
-OCc1cc(Nc2cccnc2)ccn1; [None]; [None]; [0]
-C[C@H](CO)Nc1ccnc(CO)c1; ['C[C@@H](N)CO']; ['OCc1cc(Cl)ccn1']; [0.990308344]
-CC(C)COc1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(-c2ccc(Cl)s2)ccn1; [None]; [None]; [0]
-O=C(Nc1ccnc(CO)c1)c1cccs1; ['Nc1ccnc(CO)c1', 'Nc1ccnc(CO)c1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.999859095, 0.999859095]
-OCc1cc(-n2cnc3ccccc32)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cncc3ccccc23)ccn1; ['OB(O)c1cncc2ccccc12']; ['OCc1cc(Br)ccn1']; [0.999324322]
-OCc1cc(-c2cccc(O)c2)ccn1; [None]; [None]; [0]
-OCc1cc(Nc2ccncc2)ccn1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ccnc(CO)c1; [None]; [None]; [0]
-Cn1cncc1-c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cccc(-c2ccnc(CO)c2)c1; ['OCc1cc(Cl)ccn1']; ['OCc1cccc(B(O)O)c1']; [0.99363637]
-Cn1cc(-c2ccnc(CO)c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['OCc1cc(Br)ccn1']; [0.999992132]
-OCc1cc(-c2ccco2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cccs2)ccn1; [None]; [None]; [0]
-CC(C)Nc1ccnc(CO)c1; ['CC(C)N']; ['OCc1cc(Cl)ccn1']; [0.998369396]
-CCC(=O)Nc1ccc(-c2ccnc(CO)c2)cc1; [None]; [None]; [0]
-N#CCCc1cccc(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccnc(CO)c1; ['CCC(=O)O', 'CCC(=O)OC(=O)CC']; ['Nc1ccnc(CO)c1', 'Nc1ccnc(CO)c1']; [0.999097824, 0.999097824]
-OCc1cc(-c2ccc(F)cc2C(F)(F)F)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
-OCc1cc(-c2cnoc2)ccn1; [None]; [None]; [0]
-Cc1cc(-c2ccnc(CO)c2)no1; [None]; [None]; [0]
-COc1ccc(-c2ccnc(CO)c2)cc1Cl; [None]; [None]; [0]
-CCCn1cc(-c2ccnc(CO)c2)cn1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccnc(CO)c3)c21; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccnc(CO)c2)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1ccnc(CO)c1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccnc(CO)c2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['OCc1cc(Br)ccn1']; [0.999589503]
-CCN(CC)c1ccnc(CO)c1; ['CCNCC']; ['OCc1cc(Cl)ccn1']; [0.904940367]
-O=c1[nH]ccc2oc(-c3ccnc(CO)c3)cc12; [None]; [None]; [0]
-OCc1cc(-c2c[nH]c3ccccc23)ccn1; [None]; [None]; [0]
-COc1ccncc1Nc1ccnc(CO)c1; ['COc1ccncc1N']; ['OCc1cc(Cl)ccn1']; [0.999109805]
-OCc1cc(Nc2cnc3ccccc3c2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2c[nH]c3cnccc23)ccn1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccnc(CO)c2)C1; [None]; [None]; [0]
-OCc1cc([C@H](CO)Cc2ccccc2)ccn1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccnc(CO)c2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccnc(CO)c2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccnc(CO)c1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccnc(CO)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['OCc1cc(Br)ccn1']; [0.989281178]
-CS(=O)(=O)c1ccc(-c2ccnc(CO)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccnc(CO)c2)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(-n2ncc3c(O)cccc32)ccn1; [None]; [None]; [0]
-OCc1cc(-n2ncc3ccccc32)ccn1; [None]; [None]; [0]
-OCc1cc(-c2nc3ccc(O)cc3[nH]2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cccnc2O)ccn1; [None]; [None]; [0]
-OCc1cc(Cc2ccncc2)ccn1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccnc(CO)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccnc(CO)c2)c(OC)c1; [None]; [None]; [0]
-OCc1cc(OC2CCOCC2)ccn1; ['OC1CCOCC1']; ['OCc1cc(Cl)ccn1']; [0.957294583]
-Nc1ncc(-c2ccnc(CO)c2)s1; [None]; [None]; [0]
-Nc1nnc(-c2ccnc(CO)c2)s1; [None]; [None]; [0]
-OCc1cc(-n2ccnc2)ccn1; ['OCc1cc(Br)ccn1']; ['c1c[nH]cn1']; [0.997240663]
-COc1cccc(F)c1-c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(-c2nc3ccccc3s2)ccn1; [None]; [None]; [0]
-Cc1cncc(-c2ccnc(CO)c2)n1; [None]; [None]; [0]
-OCc1cc(-c2cccc3ccsc23)ccn1; [None]; [None]; [0]
-Nc1nc(-c2ccnc(CO)c2)nc2ccccc12; [None]; [None]; [0]
-OCc1cc(-c2c[nH]c3cccnc23)ccn1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(Cc2cccnc2)ccn1; [None]; [None]; [0]
-CC(C)(C)Oc1ccnc(CO)c1; [None]; [None]; [0]
-CC(C)(C)CNc1ccnc(CO)c1; ['CC(C)(C)CN']; ['OCc1cc(Cl)ccn1']; [0.992572665]
-COc1ccc(OC)c(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ccnc(CO)c2)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
-OCc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)ccn1; ['OCc1cc(Cl)ccn1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.994046926]
-Cc1ccc2nc(Nc3ccc(C#N)cc3)sc2c1; ['Cc1ccc(N)c(Br)c1']; ['N#Cc1ccc(N=C=S)cc1']; [0.999933839]
-OCc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)ccn1; [None]; [None]; [0]
-CCOc1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CCOc1ccc(N)cc1', 'CCOc1ccc(N=C=S)cc1', 'CCOc1ccc(N=C=S)cc1', 'CCOc1ccc(Br)cc1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(N)sc2c1']; [0.9998312, 0.9998312, 0.9998312, 0.9998312]
-Cc1ccc2nc(Nc3cccc(S(C)(=O)=O)c3)sc2c1; ['CS(=O)(=O)c1cccc(Br)c1']; ['Cc1ccc2nc(N)sc2c1']; [0.99966]
-Cc1ccc2nc(Nc3c[nH]nc3C)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Cc1n[nH]cc1N']; [0.999365628]
-COc1ncccc1Nc1nc2ccc(C)cc2s1; ['COc1ncccc1N']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999961376]
-COc1cc(Nc2nc3ccc(C)cc3s2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC']; ['Cc1ccc2nc(Cl)sc2c1']; [0.99996376]
-Cc1ccc2nc(Nc3cnn(C)c3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cccc(O)c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1cccc(O)c1']; [0.999076486]
-Cc1ccc2nc(Nc3cnnn3C)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cn(C)nc3C)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Cc1nn(C)cc1N', 'Cc1nn(C)cc1Br']; [0.999964714, 0.999964714]
-COc1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['COc1ccc(N=C=S)cc1']; ['Cc1ccc(N)c(I)c1']; [0.999797642]
-Cc1ccc2nc(Nc3cnc4cccnn34)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(C(N)=O)cc3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3nc4ccccc4[nH]3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(NNc3ncccn3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cccc(F)c3)sc2c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Fc1cccc(N=C=S)c1', 'Fc1cccc(N=C=S)c1', 'Nc1cccc(F)c1', 'Fc1cccc(Br)c1']; [0.999996424, 0.999996424, 0.999996424, 0.999996424]
-Cc1ccc2nc(NCc3nccc4ccccc34)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['NCc1nccc2ccccc12']; [0.999850512]
-Cc1ccc2nc(Nc3ccc(C(=O)Nc4ccccc4)cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.999977708]
-Cc1ccc2nc(NCCCO)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['NCCCO']; [0.999946117]
-Cc1ccc2nc(Nc3ccc(Cl)cc3)sc2c1; ['Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Cl)sc2c1']; ['S=C=Nc1ccc(Cl)cc1', 'S=C=Nc1ccc(Cl)cc1', 'Nc1ccc(Cl)cc1']; [0.999323606, 0.999323606, 0.999323606]
-Cc1ccc2nc(Nc3ccc(OCCO)cc3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cc(C)n(C)n3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cccc(C4CCNCC4)c3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(C(F)(F)F)cc3)sc2c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(N)sc2c1']; ['FC(F)(F)c1ccc(N=C=S)cc1', 'FC(F)(F)c1ccc(Br)cc1']; [0.999991655, 0.999991655]
-CNS(=O)(=O)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.99978596]
-Cc1ccc2nc(Nc3cnc(Cl)nc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1cnc(Cl)nc1']; [0.990065038]
-Cc1ccc2nc(Nc3ccc(OC[C@H](C)O)cc3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(N(C)C)cc3)sc2c1; ['CN(C)c1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999977112]
-COc1ccc(Cl)cc1Nc1nc2ccc(C)cc2s1; ['COc1ccc(Cl)cc1N=C=S', 'COc1ccc(Cl)cc1N=C=S']; ['Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1']; [0.999978304, 0.999978304]
-Cc1ccc2nc(Nc3cncnc3)sc2c1; ['Brc1cncnc1']; ['Cc1ccc2nc(N)sc2c1']; [0.943395734]
-Cc1ccc2nc(Nc3cn[nH]c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1cn[nH]c1']; [0.999471366]
-Cc1ccc2nc(Nc3sc(C)nc3C)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc4c(c3)CCO4)sc2c1; ['Brc1ccc2c(c1)CCO2']; ['Cc1ccc2nc(N)sc2c1']; [0.999820411]
-Cc1ccc2nc(Nc3ccc(Br)cc3)sc2c1; ['Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1']; ['S=C=Nc1ccc(Br)cc1', 'S=C=Nc1ccc(Br)cc1']; [0.999900341, 0.999900341]
-Cc1ccc2nc(Nc3ccc[nH]3)sc2c1; [None]; [None]; [0]
-COc1cc(Nc2nc3ccc(C)cc3s2)ccc1O; ['COc1cc(N)ccc1O']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999375284]
-CC(=O)Nc1cccc(Nc2nc3ccc(C)cc3s2)c1; ['CC(=O)Nc1cccc(N)c1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999682546]
-Cc1ccc2nc(Nc3c[nH]c4ccccc34)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(F)c(F)c3)sc2c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(I)c1']; ['Fc1ccc(N=C=S)cc1F', 'Fc1ccc(N=C=S)cc1F']; [0.999997497, 0.999997497]
-Cc1ccc2nc(Nc3cc4ccccc4cn3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Nc1cc2ccccc2cn1', 'Clc1cc2ccccc2cn1']; [0.999714196, 0.999714196]
-Cc1ccc2nc(Nc3scc4c3OCCO4)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cnc4ccccc4c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.999752581, 0.999752581]
-Cc1ccc2nc(Nc3cccc4c3OCO4)sc2c1; [None]; [None]; [0]
-CSc1cccc(Nc2nc3ccc(C)cc3s2)c1; ['CSc1cccc(N=C=S)c1', 'CSc1cccc(N=C=S)c1', 'CSc1cccc(N)c1']; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Cl)sc2c1']; [0.999999046, 0.999999046, 0.999999046]
-Cc1ccc2nc(Nc3ccco3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(C(C)(C)C)cc3)sc2c1; ['CC(C)(C)c1ccc(N=C=S)cc1']; ['Cc1ccc(N)c(Br)c1']; [0.999995]
-Cc1ccc2nc(Nc3ccc(F)cc3Cl)sc2c1; ['Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Cl)sc2c1']; ['Fc1ccc(N=C=S)c(Cl)c1', 'Nc1ccc(F)cc1Cl']; [0.999974847, 0.999974847]
-Cc1ccc2nc(Nc3cc(C)nc(N)n3)sc2c1; ['Cc1cc(Cl)nc(N)n1']; ['Cc1ccc2nc(N)sc2c1']; [0.9998734]
-Cc1ccc2nc(N[C@@H]3CC[C@@H](O)CC3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['N[C@H]1CC[C@H](O)CC1']; [0.999981284]
-CC[C@@H](CO)Nc1nc2ccc(C)cc2s1; ['CC[C@H](N)CO']; ['Cc1ccc2nc(Cl)sc2c1']; [0.996197104]
-COc1ccc(Nc2nc3ccc(C)cc3s2)cc1OC; ['COc1ccc(N)cc1OC']; ['Cc1ccc2nc(Cl)sc2c1']; [0.99992013]
-Cc1ccc2nc(Nc3ncc(Br)cn3)sc2c1; ['Cc1ccc2nc(N)sc2c1']; ['Clc1ncc(Br)cn1']; [0.999953866]
-Cc1ccc2nc(Nc3ccc(Cl)cc3Cl)sc2c1; ['Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Cl)sc2c1']; ['S=C=Nc1ccc(Cl)cc1Cl', 'S=C=Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl']; [0.999957919, 0.999957919, 0.999957919]
-Cc1ccc2nc(N[C@H]3CC[C@@H](O)C3)sc2c1; [None]; [None]; [0]
-Cc1cc(C)cc(Nc2nc3ccc(C)cc3s2)c1; ['Cc1cc(C)cc(N=C=S)c1', 'Cc1cc(C)cc(N=C=S)c1']; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(I)c1']; [0.999946594, 0.999946594]
-Cc1ccc2nc(Nc3ccsc3)sc2c1; ['Brc1ccsc1']; ['Cc1ccc2nc(N)sc2c1']; [0.991760194]
-CCc1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CCc1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999808252]
-COc1ccc2cccc(Nc3nc4ccc(C)cc4s3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(Nc2nc3ccc(C)cc3s2)cc1OC; [None]; [None]; [0]
-COc1cc(Nc2nc3ccc(C)cc3s2)ccc1Cl; ['COc1cc(N)ccc1Cl']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999714792]
-COc1cc(Nc2nc3ccc(C)cc3s2)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['Cc1ccc2nc(N)sc2c1']; [0.891620219]
-Cc1ccc2nc(Nc3cn(C)nc3C(F)(F)F)sc2c1; [None]; [None]; [0]
-COc1cc(Nc2nc3ccc(C)cc3s2)cc(OC)c1; ['COc1cc(N=C=S)cc(OC)c1']; ['Cc1ccc(N)c(I)c1']; [0.999926209]
-Cc1ccc2nc(Nc3cc4ccccc4o3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cccc4ccc(O)cc34)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1cccc2ccc(O)cc12']; [0.997355461]
-CNC(=O)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CNC(=O)c1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999938846]
-Cc1ccc2nc(Nc3ccc(C)o3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc4cn[nH]c4c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1ccc2cn[nH]c2c1']; [0.999996662]
-CCc1cccc(Nc2nc3ccc(C)cc3s2)n1; ['CCc1cccc(N)n1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999855161]
-Cc1ccc2nc(Nc3cscn3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(OC(F)(F)F)cc3)sc2c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Cl)sc2c1']; ['FC(F)(F)Oc1ccc(N=C=S)cc1', 'Nc1ccc(OC(F)(F)F)cc1']; [0.999998331, 0.999998331]
-Cc1ccc2nc(Nc3ccc(CCO)cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1ccc(CCO)cc1']; [0.999879837]
-Cc1ccc2nc(Nc3cccc(N4CCCC4=O)c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.999981761]
-Cc1ccc2nc(Nc3cc(S(C)(=O)=O)ccc3Cl)sc2c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Cc1ccc2nc(N)sc2c1']; [0.99981457]
-Cn1cc(-c2nnc(N)s2)cn1; ['Cn1cc(C(=O)O)cn1']; ['NNC(N)=S']; [0.996320486]
-Cc1ccc2nc(Nc3ccc(C)c(C)n3)sc2c1; ['Cc1ccc(N)nc1C']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999955297]
-CCc1ccc(-c2nnc(N)s2)cc1; ['CCc1ccc(C#N)cc1', 'CCc1ccc(C(=O)O)cc1']; ['NNC(N)=S', 'NNC(N)=S']; [0.999990106, 0.999990106]
-Nc1nnc(-c2ccc(Cl)c(O)c2)s1; ['NNC(N)=S']; ['O=C(O)c1ccc(Cl)c(O)c1']; [0.999927044]
-Nc1nnc(-c2c(F)cccc2F)s1; ['NNC(N)=S']; ['O=C(O)c1c(F)cccc1F']; [0.999978423]
-CNS(=O)(=O)c1ccc(-c2nnc(N)s2)cc1; ['CNS(=O)(=O)c1ccc(C(=O)O)cc1']; ['NNC(N)=S']; [0.99923408]
-COc1cc(N2CCNCC2)ccc1Nc1nc2ccc(C)cc2s1; [None]; [None]; [0]
-Nc1nnc(Oc2ccc(F)cc2)s1; ['Nc1nnc(Br)s1']; ['Oc1ccc(F)cc1']; [0.9954983]
-Nc1nnc(-c2cccc3ncccc23)s1; ['NNC(N)=S']; ['O=C(O)c1cccc2ncccc12']; [0.997431576]
-NC(=O)c1ccc(-c2nnc(N)s2)cc1; ['N#Cc1ccc(C(N)=O)cc1']; ['NNC(N)=S']; [0.999997258]
-Cc1ncc(-c2nnc(N)s2)[nH]1; [None]; [None]; [0]
-Nc1nnc(-c2n[nH]c3ccccc23)s1; [None]; [None]; [0]
-Nc1nnc(-c2c(Cl)cccc2Cl)s1; ['NNC(N)=S']; ['O=C(O)c1c(Cl)cccc1Cl']; [0.999854922]
-Nc1nnc(-c2ccc(O)cc2Cl)s1; ['NNC(N)=S', 'N#Cc1ccc(O)cc1Cl']; ['O=C(O)c1ccc(O)cc1Cl', 'NNC(N)=S']; [0.999830484, 0.999830484]
-Nc1nnc(-c2ccccc2Cl)s1; [None]; [None]; [0]
-Nc1nccc(-c2nnc(N)s2)n1; [None]; [None]; [0]
-Nc1nnc([C@@H]2C[C@H](O)C2)s1; [None]; [None]; [0]
-COc1cc(-c2nnc(N)s2)ccc1O; ['COc1cc(C#N)ccc1O', 'COc1cc(C(=O)O)ccc1O']; ['NNC(N)=S', 'NNC(N)=S']; [0.999904633, 0.999904633]
-Nc1nnc(-c2cnccn2)s1; [None]; [None]; [0]
-Nc1nnc(-c2cc[nH]c2)s1; ['NNC(N)=S']; ['O=C(O)c1cc[nH]c1']; [0.999835253]
-N#Cc1cnc(-c2nnc(N)s2)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2nnc(N)s2)cc1; ['N#Cc1ccc(C#N)cc1']; ['NNC(N)=S']; [0.999993086]
-Nc1nnc(-c2ccoc2)s1; ['NNC(N)=S']; ['O=C(O)c1ccoc1']; [0.999975801]
-Nc1nnc(COc2cccc(Cl)c2)s1; ['N#CCOc1cccc(Cl)c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)COc1cccc(Cl)c1']; [0.999813735, 0.999813735]
-COC(=O)c1ccc(-c2nnc(N)s2)o1; [None]; [None]; [0]
-COc1cc(CCc2nnc(N)s2)ccc1O; ['COc1cc(CCC(=O)O)ccc1O']; ['NNC(N)=S']; [0.999329925]
-N#Cc1ccc(-c2nnc(N)s2)cn1; ['N#Cc1ccc(C(=O)O)cn1']; ['NNC(N)=S']; [0.996353626]
-Nc1nnc(CCCO)s1; ['NNC(N)=S']; ['O=C(O)CCCO']; [0.997464418]
-Nc1nnc(-c2cccc(Br)c2)s1; ['N#Cc1cccc(Br)c1']; ['NNC(N)=S']; [0.999680281]
-Nc1nnc(-c2cccs2)s1; []; []; []
-Nc1nnc(COc2ccccc2Cl)s1; ['NNC(N)=S']; ['O=C(O)COc1ccccc1Cl']; [0.999968886]
-Nc1nnc(-c2ccc(O)cc2O)s1; ['N#Cc1ccc(O)cc1O']; ['NNC(N)=S']; [0.995717108]
-Nc1nnc(-c2ccc(F)c(Cl)c2)s1; ['NNC(N)=S']; ['O=C(O)c1ccc(F)c(Cl)c1']; [0.999317288]
-Cc1ccc(O)cc1-c1nnc(N)s1; ['Cc1ccc(O)cc1C(=O)O']; ['NNC(N)=S']; [0.999814451]
-Cc1ccc(-c2nnc(N)s2)cc1C; ['Cc1ccc(C(=O)O)cc1C']; ['NNC(N)=S']; [0.999899149]
-COC(=O)c1ccc(Cl)c(-c2nnc(N)s2)c1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1nnc(N)s1; [None]; [None]; [0]
-Nc1nnc([C@H](CO)c2ccccc2)s1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2nnc(N)s2)c1; ['COc1cc(C#N)cc(OC)c1', 'COc1cc(OC)cc(C(=O)O)c1']; ['NNC(N)=S', 'NNC(N)=S']; [0.999738038, 0.999738038]
-Nc1nnc(-c2cnc(O)c(Cl)c2)s1; ['NNC(N)=S']; ['O=C(O)c1cnc(O)c(Cl)c1']; [0.994376302]
-Nc1nnc(-c2cc(O)ccc2Cl)s1; ['NNC(N)=S']; ['O=C(O)c1cc(O)ccc1Cl']; [0.999858]
-COc1ccc(-c2nnc(N)s2)cc1OC; ['COc1ccc(C(=O)O)cc1OC']; ['NNC(N)=S']; [0.999975801]
-NC(=O)Nc1ccc(-c2nnc(N)s2)cc1; ['NC(=O)Cl']; ['Nc1ccc(-c2nnc(N)s2)cc1']; [0.988699496]
-CS(=O)(=O)c1ccc(-c2nnc(N)s2)cc1; ['CS(=O)(=O)c1ccc(C#N)cc1', 'CS(=O)(=O)c1ccc(C(=O)O)cc1']; ['NNC(N)=S', 'NNC(N)=S']; [0.999986172, 0.999986172]
-Nc1nnc(Cn2ccccc2=O)s1; [None]; [None]; [0]
-Nc1nnc(-c2ccc3c(c2)CC(=O)N3)s1; ['NNC(N)=S']; ['O=C1Cc2cc(C(=O)O)ccc2N1']; [0.999799192]
-Nc1nnc(-c2cncc(O)c2)s1; ['NNC(N)=S']; ['O=C(O)c1cncc(O)c1']; [0.997847676]
-Cc1nc2ccc(-c3nnc(N)s3)cc2[nH]1; ['Cc1nc2ccc(C(=O)O)cc2[nH]1']; ['NNC(N)=S']; [0.994363904]
-Nc1nnc(-c2nc3ccccc3s2)s1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1nnc(N)s1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1nnc(N)s1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1nnc(N)s1; ['Cc1cccc(C)c1C(=O)O']; ['NNC(N)=S']; [0.999522686]
-NC(=O)[C@H]1CC[C@@H](c2nnc(N)s2)CC1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1nnc(N)s1; ['Cc1cc(O)ccc1C(=O)O']; ['NNC(N)=S']; [0.999982119]
-Nc1nnc(-n2ccnc2)s1; [None]; [None]; [0]
-Nc1nnc(-c2cc(Cl)c(O)c(Cl)c2)s1; ['NNC(N)=S']; ['O=C(O)c1cc(Cl)c(O)c(Cl)c1']; [0.992906451]
-Nc1cc(-c2nnc(N)s2)[nH]n1; [None]; [None]; [0]
-CCc1sccc1-c1nnc(N)s1; [None]; [None]; [0]
-Nc1nnc(-c2ccc3c(c2)CCN3)s1; ['NNC(N)=S']; ['O=C(O)c1ccc2c(c1)CCN2']; [0.997461677]
-Nc1nnc(-c2nccs2)s1; [None]; [None]; [0]
-Nc1nnc(-c2ccc3[nH]c(=O)[nH]c3c2)s1; ['NNC(N)=S']; ['O=C(O)c1ccc2[nH]c(=O)[nH]c2c1']; [0.99998045]
-Nc1nnc(-c2ccc(Br)cc2F)s1; ['NNC(N)=S']; ['O=C(O)c1ccc(Br)cc1F']; [0.999972343]
-Cn1ncc(N)c1-c1nnc(N)s1; [None]; [None]; [0]
-Nc1nnc(Nc2ccncc2)s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nnc(N)s2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1nnc(Br)s1']; [0.999924541]
-Cc1csc(-c2nnc(N)s2)n1; [None]; [None]; [0]
-Cc1ccc(-c2nnc(N)s2)nc1C; [None]; [None]; [0]
-Nc1nnc(-c2cc(O)cc(Br)c2)s1; ['NNC(N)=S']; ['O=C(O)c1cc(O)cc(Br)c1']; [0.998964548]
-Cc1ccc(-c2nnc(N)s2)c(C)n1; ['Cc1ccc(C(=O)O)c(C)n1']; ['NNC(N)=S']; [0.999958158]
-Cc1nc2ccc(-c3nnc(N)s3)cc2o1; ['Cc1nc2ccc(C(=O)O)cc2o1']; ['NNC(N)=S']; [0.987625539]
-Nc1nnc(-c2cc(F)c(O)c(F)c2)s1; [None]; [None]; [0]
-CSc1cccc(-c2nnc(N)s2)c1; ['CSc1cccc(C(=O)O)c1']; ['NNC(N)=S']; [0.999956965]
-Nc1nnc(-c2cnco2)s1; [None]; [None]; [0]
-Nc1nnc(Oc2ccccc2F)s1; ['Nc1nnc(Br)s1']; ['Oc1ccccc1F']; [0.968910038]
-Nc1nnc(OCc2ccccc2)s1; [None]; [None]; [0]
-Nc1nnc(-c2ccc(F)cc2Cl)s1; ['NNC(N)=S']; ['O=C(O)c1ccc(F)cc1Cl']; [0.998963475]
-Nc1nnc(NCc2c(F)cccc2Cl)s1; ['NCc1c(F)cccc1Cl']; ['Nc1nnc(Br)s1']; [0.999989748]
-Nc1nnc(-c2ccc3c(=O)[nH][nH]c3c2)s1; [None]; [None]; [0]
-O=C1C(=Cc2ccccn2)Oc2ccccc21; ['O=C1COc2ccccc21']; ['O=Cc1ccccn1']; [0.994449496]
-Nc1nnc(Oc2ccc(F)cc2F)s1; ['Nc1nnc(Br)s1']; ['Oc1ccc(F)cc1F']; [0.996971607]
-Nc1nnc(Cc2ccc(F)cc2)s1; ['NNC(N)=S']; ['O=C(O)Cc1ccc(F)cc1']; [0.999899507]
-O=C1C(=Cc2cccs2)Oc2ccccc21; [None]; [None]; [0]
-COc1ccc(C=C2Oc3ccccc3C2=O)cc1OC; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(O)cc2)c1; ['Cc1ccc(O)c(Br)c1']; ['OB(O)c1ccc(O)cc1']; [0.908450663]
-O=C1C(=Cc2ccc[nH]2)Oc2ccccc21; [None]; [None]; [0]
-CNC(=O)C=C1Oc2ccccc2C1=O; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cccc3ncccc23)c1; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1']; ['OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12']; [0.997903, 0.997903]
-O=C1Nc2ccccc2C1=C1Oc2ccccc2C1=O; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccncc2)c1; ['Cc1ccc(O)c(I)c1']; ['OB(O)c1ccncc1']; [0.999001086]
-Cc1ccc(O)c(-c2cnn(C)c2)c1; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999973655, 0.999973655]
-Cc1ccc(O)c(-c2cn[nH]c2)c1; ['Cc1ccc(O)c(Br)c1']; ['OB(O)c1cn[nH]c1']; [0.99824]
-CCc1ccc(-c2cc(C)ccc2O)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc([Mg]Br)cc1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1']; [0.981530607, 0.981530607]
-Cc1ccc(O)c(-c2c(F)cccc2F)c1; ['Cc1ccc(O)c(Br)c1']; ['OB(O)c1c(F)cccc1F']; [0.993132055]
-Cc1ccc(O)c(-c2n[nH]c3ccccc23)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(Cl)c(O)c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2c(Cl)cccc2Cl)c1; ['Cc1ccc(O)c(Br)c1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.982232571]
-Cc1ccc(O)c(Oc2ccc(F)cc2)c1; ['Cc1ccc(O)c(Br)c1']; ['Oc1ccc(F)cc1']; [0.934823]
-CNS(=O)(=O)c1ccc(-c2cc(C)ccc2O)cc1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(O)cc2Cl)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(C(N)=O)cc2)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Cc1ccc(O)c(Br)c1']; ['Cc1ccc(O)c(Br)c1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.999255598, 0.999255598]
-Cc1ccc(O)c(-c2cnc(C)[nH]2)c1; [None]; [None]; [0]
-Cc1ccc(O)c([C@@H]2C[C@H](O)C2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccccc2Cl)c1; ['Cc1ccc(O)c(I)c1']; ['OB(O)c1ccccc1Cl']; [0.998823464]
-Cc1ccc(O)c(-c2ccnc(N)n2)c1; [None]; [None]; [0]
-COc1cc(-c2cc(C)ccc2O)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Cc1ccc(O)c(Br)c1']; [0.999367416]
-Cc1ccc(O)c(-c2cnc(C#N)cn2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cc[nH]c2)c1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cc(C)ccc2O)o1; ['COC(=O)c1ccco1']; ['Cc1ccc(O)c(Br)c1']; [0.967334867]
-Cc1ccc(O)c(-c2cnccn2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(C#N)cc2)c1; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(I)c1']; ['N#Cc1ccc(B(O)O)cc1', 'N#Cc1ccc([B-](F)(F)F)cc1']; [0.992841959, 0.992841959]
-Cc1ccc(O)c(-c2ccoc2)c1; ['Cc1ccc(O)c(Br)c1']; ['OB(O)c1ccoc1']; [0.99871397]
-COc1cc(CCc2cc(C)ccc2O)ccc1O; ['COc1cc(CCO)ccc1O']; ['Cc1ccc(O)cc1']; [0.787026286]
-Cc1ccc(O)c(-c2cccc(Br)c2)c1; ['Cc1ccc(O)c(Br)c1']; ['OB(O)c1cccc(Br)c1']; [0.994549215]
-Cc1ccc(O)c(-c2ccc(C#N)nc2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(CCCO)c1; []; []; []
-Cc1ccc(O)c(COc2cccc(Cl)c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cccs2)c1; ['Cc1ccc(O)c(Br)c1']; ['OB(O)c1cccs1']; [0.999478281]
-Cc1ccc(O)c(-c2ccc(O)cc2O)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cc(C)ccc2O)c1; ['COC(=O)c1ccc(Cl)c(I)c1']; ['Cc1ccc(O)cc1']; [0.898964107]
-Cc1ccc(O)c(-c2ccc(F)c(Cl)c2)c1; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(I)c1']; ['Cc1ccc(O)c(Br)c1', 'OB(O)c1ccc(F)c(Cl)c1', 'O=Cc1cccc(F)c1Cl']; [0.999985099, 0.999985099, 0.999985099]
-Cc1ccc(O)c(-c2ccncn2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(C)c(C)c2)c1; ['Cc1ccc(B(O)O)cc1C']; ['Cc1ccc(O)c(Br)c1']; [0.99766916]
-Cc1ccc(O)c(COc2ccccc2Cl)c1; [None]; [None]; [0]
-Cc1ccc(O)c([C@H](CO)c2ccccc2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cnc(O)c(Cl)c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cc(O)ccc2C)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cc(O)ccc2Cl)c1; [None]; [None]; [0]
-COc1ccc(-c2cc(C)ccc2O)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1']; [0.99961251, 0.99961251]
-Cc1ccc(O)c(-c2cc(CO)ccc2C)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(C)ccc2O)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1']; [0.999525547, 0.999525547]
-Cc1ccc(O)c(Cn2ccccc2=O)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(S(C)(=O)=O)cc2)c1; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1']; [0.996181726, 0.996181726]
-Cc1ccc(O)c(-c2ccc(NC(N)=O)cc2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc3nc(C)[nH]c3c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cncc(O)c2)c1; ['Cc1ccc(OS(=O)(=O)C(F)(F)F)c([Si](C)(C)C)c1']; ['[O-][n+]1cccc(O)c1']; [0.988375068]
-Cc1ccc(O)c(-c2nc3ccccc3s2)c1; ['Cc1ccc(O)c(C(=O)O)c1']; ['Nc1ccccc1S']; [0.999855518]
-Cc1ccc(O)c(-c2ccc3c(c2)CC(=O)N3)c1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; ['Cc1ccc(O)c(Br)c1']; [0.999412179]
-Cc1ccc(O)c([C@H](C)CC(N)=O)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2c(C)cccc2C)c1; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)cc1']; ['Cc1cccc(C)c1B(O)O', 'Cc1cccc(C)c1B(O)O', 'Cc1cccc(C)c1[Mg]Br', 'Cc1cccc(C)c1Br', 'Cc1cccc(C)c1', 'Cc1cccc(C)c1', 'Cc1cccc(C)c1I']; [0.999795139, 0.999795139, 0.999795139, 0.999795139, 0.999795139, 0.999795139, 0.999795139]
-Cc1ccc(O)c([C@@H]2CC[C@H](C(N)=O)CC2)c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cc(C)ccc1O; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cc(Cl)c(O)c(Cl)c2)c1; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1']; ['Oc1c(Cl)cccc1Cl', 'Oc1c(Cl)cccc1Cl']; [0.807920337, 0.807920337]
-Cc1ccc(O)c(-c2ccc(O)cc2C)c1; ['Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B(O)O']; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1']; [0.994094431, 0.994094431]
-Cc1ccc(O)c(-n2ccnc2)c1; ['Cc1ccc(O)c(Br)c1']; ['c1c[nH]cn1']; [0.998645842]
-Cc1ccc(O)c(-c2nccs2)c1; ['Cc1ccc(O)c(I)c1']; ['c1cscn1']; [0.821077824]
-CCc1sccc1-c1cc(C)ccc1O; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(Nc2ccncc2)c1; ['Cc1ccc(O)c(N)c1', 'Brc1ccncc1']; ['Nc1ccncc1', 'Cc1ccc(O)c(N)c1']; [0.965131879, 0.965131879]
-Cc1ccc(O)c(-c2ccc3[nH]c(=O)[nH]c3c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc3c(c2)CCN3)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(Br)cc2F)c1; ['Cc1ccc(O)c(Br)c1']; ['OB(O)c1ccc(Br)cc1F']; [0.994362473]
-Cc1ccc(O)c(-c2nc(C)cs2)c1; ['Cc1ccc(O)c(I)c1']; ['Cc1cscn1']; [0.905009]
-Cc1ccc(O)c(-c2ccc(C)c(C)n2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2c(N)cnn2C)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(C)ccc2O)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['Cc1ccc(O)c(Br)c1']; [0.983045578]
-Cc1ccc(O)c(-c2cc(O)cc(Br)c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cnco2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cc(F)c(O)c(F)c2)c1; ['Cc1ccc(O)c(Br)c1']; ['Oc1c(F)cccc1F']; [0.752088904]
-Cc1ccc(O)c(-c2ccc(C)nc2C)c1; [None]; [None]; [0]
-Cc1ccc(O)c(OCc2ccccc2)c1; ['Cc1ccc(O)c(O)c1']; ['ClCc1ccccc1']; [0.895903587]
-Cc1ccc(O)c(-c2ccc3c(=O)[nH][nH]c3c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc3nc(C)oc3c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(F)cc2Cl)c1; ['Cc1ccc(O)c(Br)c1']; ['OB(O)c1ccc(F)cc1Cl']; [0.999749124]
-CSc1cccc(-c2cc(C)ccc2O)c1; ['CSc1cccc(B(O)O)c1', 'CSc1cccc([Mg]Br)c1']; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(F)c1']; [0.992266357, 0.992266357]
-Cc1ccc(O)c(Oc2ccc(F)cc2F)c1; ['Cc1ccc(O)c(O)c1']; ['Fc1ccc(F)c(F)c1']; [0.849673033]
-Cc1ccc(O)c(Oc2ccccc2F)c1; []; []; []
-COc1cc(-c2ccc(O)cc2)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O']; ['OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1']; [0.99941504, 0.99941504]
-Cc1ccc(O)c(Cc2ccc(F)cc2)c1; ['Cc1ccc(O)cc1', 'Cc1ccc(O)cc1']; ['OCc1ccc(F)cc1', 'Fc1ccc(CCl)cc1']; [0.999179065, 0.999179065]
-Cc1ccc(O)c(NCc2c(F)cccc2Cl)c1; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(N)c1']; ['NCc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CBr']; [0.996639371, 0.996639371]
-COc1cc(-c2ccncc2)ccc1O; ['Brc1ccncc1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; [0.999982119]
-COc1cc(-c2cnn(C)c2)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(Br)cn1']; [0.999951601, 0.999951601]
-COc1cc(-c2cccc3ncccc23)ccc1O; ['COc1cc(Br)ccc1O']; ['OB(O)c1cccc2ncccc12']; [0.999639869]
-CCc1ccc(-c2ccc(O)c(OC)c2)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1']; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; [0.99973911, 0.99973911]
-COc1cc(-c2cn[nH]c2)ccc1O; ['COc1cc(Br)ccc1O']; ['OB(O)c1cn[nH]c1']; [0.999393702]
-COc1cc(-c2ccc(Cl)c(O)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Oc1cc(Br)ccc1Cl']; [0.999902964]
-COc1cc(-c2c(F)cccc2F)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; ['OB(O)c1c(F)cccc1F', 'OB(O)c1c(F)cccc1F']; [0.999608934, 0.999608934]
-COc1cc(-c2n[nH]c3ccccc23)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Ic1n[nH]c2ccccc12']; [0.999972343]
-COc1cc(Oc2ccc(F)cc2)ccc1O; ['COc1cc(O)ccc1O', 'COc1cc(O)ccc1O', 'COc1cc(Br)ccc1O']; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(Br)cc1', 'Oc1ccc(F)cc1']; [0.99065, 0.99065, 0.99065]
-COc1cc(-c2c(Cl)cccc2Cl)ccc1O; ['COc1cc(I)ccc1O']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999628425]
-CNS(=O)(=O)c1ccc(-c2ccc(O)c(OC)c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; [0.999362409]
-COc1cc(-c2ccc(C(N)=O)cc2)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O']; ['NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.999797642, 0.999797642, 0.999797642]
-COc1cc(-c2ccnc(N)n2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Nc1nccc(Cl)n1']; [0.999976277]
-COc1cc(-c2ccc(O)cc2Cl)ccc1O; [None]; [None]; [0]
-COc1cc(-c2cnc(C)[nH]2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccccc2Cl)ccc1O; ['COc1cc(Br)ccc1O', 'COc1ccccc1O', 'COc1cc(Cl)ccc1O']; ['OB(O)c1ccccc1Cl', 'Clc1ccccc1I', 'OB(O)c1ccccc1Cl']; [0.998894513, 0.998894513, 0.998894513]
-COc1cc(-c2cc[nH]c2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(C#N)cc2)ccc1O; ['COc1cc(Br)ccc1O']; ['N#Cc1ccc(B(O)O)cc1']; [0.999273956]
-COc1cc([C@@H]2C[C@H](O)C2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2cnc(C#N)cn2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['N#Cc1cnc(Cl)cn1']; [0.999872327]
-COc1cc(-c2ccc(O)c(OC)c2)ccc1O; ['COc1cc(I)ccc1O']; ['COc1cc(I)ccc1O']; [0.754192173]
-COc1cc(-c2ccoc2)ccc1O; ['COc1cc(Br)ccc1O']; ['OB(O)c1ccoc1']; [0.998387218]
-COC(=O)c1ccc(-c2ccc(O)c(OC)c2)o1; ['COC(=O)c1ccco1']; ['COc1cc(Br)ccc1O']; [0.971706033]
-COc1cc(-c2ccc(C#N)nc2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['N#Cc1ccc(Br)cn1']; [0.999996424]
-COc1cc(CCc2ccc(O)c(OC)c2)ccc1O; [None]; [None]; [0]
-COc1cc(CCCO)ccc1O; []; []; []
-COc1cc(COc2cccc(Cl)c2)ccc1O; ['COc1cc(CO)ccc1O']; ['Oc1cccc(Cl)c1']; [0.858919859]
-COC(=O)c1ccc(Cl)c(-c2ccc(O)c(OC)c2)c1; ['COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(I)c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1ccccc1O']; [0.999994278, 0.999994278, 0.999994278]
-COc1cc(-c2cccc(Br)c2)ccc1O; ['COc1cc(Br)ccc1O']; ['OB(O)c1cccc(Br)c1']; [0.963045299]
-COc1cc(-c2cccs2)ccc1O; ['COc1cc(I)ccc1O']; ['OB(O)c1cccs1']; [0.999287546]
-COc1cc(COc2ccccc2Cl)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(O)cc2O)ccc1O; [None]; [None]; [0]
-COc1cc([C@H](CO)c2ccccc2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(F)c(Cl)c2)ccc1O; ['COc1cc(Br)ccc1O']; ['OB(O)c1ccc(F)c(Cl)c1']; [0.999641061]
-COc1cc(-c2ccc(C)c(C)c2)ccc1O; ['COc1cc(Br)ccc1O']; ['Cc1ccc(B(O)O)cc1C']; [0.993913591]
-COc1cc(-c2cc(O)ccc2C)ccc1O; [None]; [None]; [0]
-COc1cc(-c2cnc(O)c(Cl)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Oc1ncc(Br)cc1Cl']; [0.999990582]
-COc1cc(-c2cc(CO)ccc2C)ccc1O; [None]; [None]; [0]
-COc1cc(-c2cc(O)ccc2Cl)ccc1O; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc(O)c(OC)c2)c1; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O']; ['COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cccc(OC)c1']; [0.999990702, 0.999990702, 0.999990702]
-COc1cc(-c2ccc(OC)c(OC)c2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(S(C)(=O)=O)cc2)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9996593, 0.9996593]
-COc1cc(Cn2ccccc2=O)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(NC(N)=O)cc2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['NC(=O)Nc1ccc(Br)cc1']; [0.999945164]
-COc1cc(-c2ccc3nc(C)[nH]c3c2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc3c(c2)CC(=O)N3)ccc1O; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'O=C1Cc2cc(Br)ccc2N1']; [0.999757946, 0.999757946, 0.999757946]
-COc1cc(-c2cncc(O)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Oc1cncc(Br)c1']; [0.999977946]
-COc1cc([C@@H]2CC[C@H](C(N)=O)CC2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(O)cc2C)ccc1O; ['COc1cc(Br)ccc1O']; ['Cc1cc(O)ccc1B(O)O']; [0.997101]
-CCc1cc(O)ccc1-c1ccc(O)c(OC)c1; [None]; [None]; [0]
-COc1cc(-n2ccnc2)ccc1O; ['COc1cc(Br)ccc1O']; ['c1c[nH]cn1']; [0.998271346]
-COc1cc([C@H](C)CC(N)=O)ccc1O; [None]; [None]; [0]
-COc1cc(-c2c(C)cccc2C)ccc1O; ['COc1cc(Br)ccc1O']; ['Cc1cccc(C)c1B(O)O']; [0.9995085]
-COc1cc(-c2cc(Cl)c(O)c(Cl)c2)ccc1O; ['COc1cc(Br)ccc1O']; ['Oc1c(Cl)cccc1Cl']; [0.88368541]
-CCc1sccc1-c1ccc(O)c(OC)c1; [None]; [None]; [0]
-COc1cc(-c2ccc3c(c2)CCN3)ccc1O; [None]; [None]; [0]
-COc1cc(-c2c(N)cnn2C)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.999902606]
-COc1cc(Nc2ccncc2)ccc1O; ['COc1cc(N)ccc1O']; ['OB(O)c1ccncc1']; [0.999581754]
-CNC(=O)c1ccc(-c2ccc(O)c(OC)c2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['COc1cc(Cl)ccc1O']; [0.994880915]
-COc1cc(-c2ccc(Br)cc2F)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O']; ['OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F', 'Fc1cccc(Br)c1']; [0.999964833, 0.999964833, 0.999964833]
-COc1cc(-c2ccc(C)nc2C)ccc1O; [None]; [None]; [0]
-COc1cc(-c2nc(C)cs2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Cc1csc(Br)n1']; [0.999971509]
-COc1cc(-c2cc(O)cc(Br)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Oc1cc(Br)cc(Br)c1']; [0.999178]
-COc1cc(-c2cc(F)c(O)c(F)c2)ccc1O; ['COc1cc(Br)ccc1O']; ['Oc1c(F)cccc1F']; [0.970944166]
-COc1cc(-c2ccc(C)c(C)n2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc3nc(C)oc3c2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2cccc(SC)c2)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1']; [0.99998045, 0.99998045, 0.99998045, 0.99998045]
-COc1cc(-c2cnco2)ccc1O; [None]; [None]; [0]
-COc1cc(Oc2ccccc2F)ccc1O; ['COc1cc(O)ccc1O', 'COc1cc(Br)ccc1O']; ['Fc1ccccc1Br', 'Oc1ccccc1F']; [0.970604658, 0.970604658]
-COc1cc(-c2ccc3c(=O)[nH][nH]c3c2)ccc1O; [None]; [None]; [0]
-COc1cc(OCc2ccccc2)ccc1O; [None]; [None]; [0]
-COc1cc(Cc2ccc(F)cc2)ccc1O; ['COc1ccccc1O']; ['Fc1ccc(CCl)cc1']; [0.917565525]
-COc1cc(NCc2c(F)cccc2Cl)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(N)ccc1O']; ['Fc1cccc(Cl)c1CCl', 'O=Cc1c(F)cccc1Cl']; [0.999097109, 0.999097109]
-COc1cc(C=Cc2ccc(O)c(OC)c2)ccc1O; ['C=Cc1ccc(O)c(OC)c1']; ['COc1cc(I)ccc1O']; [0.972856402]
-COc1cc(Oc2ccc(F)cc2F)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(O)ccc1O', 'COc1cc(O)ccc1O']; ['Oc1ccc(F)cc1F', 'Fc1ccc(Br)c(F)c1', 'Fc1ccc(F)c(F)c1']; [0.996906579, 0.996906579, 0.996906579]
-CCOc1ccccc1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['CCOc1ccccc1B(O)O']; [0.999918222]
-COc1cc(-c2ccc(F)cc2Cl)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O']; ['Fc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [0.999986053, 0.999986053, 0.999986053, 0.999986053]
-COc1cc(C=C2C(=O)Nc3ccc(Cl)cc32)ccc1O; [None]; [None]; [0]
-c1ccc2c(-c3ccc4ocnc4c3)ccnc2c1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1ccnc2ccccc12']; [0.998457193]
-CNC(=O)c1ccccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2ccc3ocnc3c2)C1; [None]; [None]; [0]
-c1cncc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; ['OB(O)c1cccnc1', 'OB(O)c1cccnc1']; [0.999964237, 0.999964237]
-Fc1cc(F)cc(Cc2ccc3ocnc3c2)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999870539]
-Brc1ccccc1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1ccccc1Br']; [0.99433434]
-c1cc(-c2ccc3ocnc3c2)n[nH]1; [None]; [None]; [0]
-Clc1ccccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-Fc1ccccc1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1ccccc1F']; [0.998219192]
-FC(F)(F)Oc1ccccc1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999955535]
-N#Cc1ccccc1-c1ccc2ocnc2c1; ['Clc1ccc2ocnc2c1']; ['N#Cc1ccccc1B(O)O']; [0.986787796]
-Fc1cccc(F)c1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1c(F)cccc1F']; [0.999738038]
-c1ccc(Cn2cc(-c3ccc4ocnc4c3)cn2)cc1; ['Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; [0.999998331]
-NC(=O)c1ccccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-c1cc(-c2ccc3ocnc3c2)ncn1; [None]; [None]; [0]
-N[C@H](c1ccc2ocnc2c1)c1ccco1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ccc4ocnc4c3)[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccc3ocnc3c2)c1)c1ccccc1; [None]; [None]; [0]
-c1nc2cc(-c3ccc4c(c3)CCC4)ccc2o1; [None]; [None]; [0]
-OCCn1cc(-c2ccc3ocnc3c2)cn1; [None]; [None]; [0]
-c1ncc(-c2ccc3ocnc3c2)o1; [None]; [None]; [0]
-c1ccn2c(-c3ccc4ocnc4c3)cnc2c1; ['Brc1ccc2ocnc2c1']; ['c1ccn2ccnc2c1']; [0.999966502]
-Cc1ccc(-c2ccc3ocnc3c2)c(Br)c1; [None]; [None]; [0]
-c1cnn2c(-c3ccc4ocnc4c3)cnc2c1; ['Brc1ccc2ocnc2c1']; ['c1cnn2ccnc2c1']; [0.999964952]
-Cc1nc(N)sc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3ocnc3c2)s1; ['Brc1ccc2ocnc2c1']; ['Cc1csc(C)n1']; [0.999495]
-Clc1cccc(Cl)c1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.999047816, 0.999047816]
-Cc1ccc(Cl)c(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(B(O)O)c1', 'Clc1ccc2ocnc2c1']; [0.999787629, 0.999787629]
-CC(C)(C)Nc1ccc2ocnc2c1; [None]; [None]; [0]
-c1nc2cc(OC3CCCCC3)ccc2o1; ['Fc1ccc2ocnc2c1']; ['OC1CCCCC1']; [0.990013123]
-c1cncc(CNc2ccc3ocnc3c2)c1; ['BrCc1cccnc1', 'ClCc1cccnc1', 'Nc1ccc2ocnc2c1']; ['Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'O=Cc1cccnc1']; [0.999527931, 0.999527931, 0.999527931]
-Clc1cccc(-c2ccc3ocnc3c2)c1Cl; ['Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; ['OB(O)c1cccc(Cl)c1Cl', 'OB(O)c1cccc(Cl)c1Cl']; [0.999915481, 0.999915481]
-COc1cccc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1']; ['COc1cccc(B(O)O)c1']; [0.999791801]
-Cc1ncc(-c2ccc3ocnc3c2)[nH]1; [None]; [None]; [0]
-c1cncc(Nc2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1', 'Clc1cccnc1']; ['Nc1cccnc1', 'Nc1ccc2ocnc2c1']; [0.999116, 0.999116]
-c1ccc2cc(-c3ccc4ocnc4c3)ccc2c1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1ccc2ccccc2c1']; [0.999727428]
-C[C@H](CO)Nc1ccc2ocnc2c1; ['CC(=O)CO']; ['Nc1ccc2ocnc2c1']; [0.920290112]
-Nc1nccc(-c2ccc3ocnc3c2)n1; [None]; [None]; [0]
-Clc1ccc(-c2ccc3ocnc3c2)s1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1ccc(Cl)s1']; [0.999842405]
-O=C(Nc1ccc2ocnc2c1)c1cccs1; ['Nc1ccc2ocnc2c1']; ['O=C(O)c1cccs1']; [0.999977112]
-CC(C)COc1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1', 'CC(C)CO']; ['CC(C)CO', 'Fc1ccc2ocnc2c1']; [0.9977175, 0.9977175]
-c1ccc2c(-c3ccc4ocnc4c3)cncc2c1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1cncc2ccccc12']; [0.999949217]
-c1ccc2c(c1)ncn2-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['c1ccc2[nH]cnc2c1']; [0.996726632]
-Oc1cccc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1cccc(O)c1']; [0.999551475]
-Cn1cncc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ccc2ocnc2c1; [None]; [None]; [0]
-c1cc(Nc2ccc3ocnc3c2)ccn1; ['Clc1ccncc1']; ['Nc1ccc2ocnc2c1']; [0.995354652]
-OCc1cccc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1']; ['OCc1cccc(B(O)O)c1']; [0.998306155]
-c1coc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['c1ccoc1', 'F[B-](F)(F)c1ccco1']; [0.994472325, 0.994472325]
-Cn1cc(-c2ccc3ocnc3c2)cn1; ['Brc1ccc2ocnc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999997139]
-c1csc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1cccs1']; [0.999498963]
-CC(C)Nc1ccc2ocnc2c1; ['CC(C)N']; ['Clc1ccc2ocnc2c1']; [0.760010242]
-Fc1ccc(-c2ccc3ocnc3c2)c(C(F)(F)F)c1; ['Clc1ccc2ocnc2c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.998986661]
-N#CCCc1cccc(-c2ccc3ocnc3c2)c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3ocnc3c2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Clc1ccc2ocnc2c1']; [0.970859408]
-CCC(=O)Nc1ccc(-c2ccc3ocnc3c2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc3ocnc3c2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1ccc2ocnc2c1']; [0.981771946]
-CCCn1cc(-c2ccc3ocnc3c2)cn1; [None]; [None]; [0]
-CCC(=O)Nc1ccc2ocnc2c1; ['CCOC(=O)CC', 'CCC(C)=O']; ['Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1']; [0.995536208, 0.995536208]
-Cc1cc(-c2ccc3ocnc3c2)no1; [None]; [None]; [0]
-c1nc2cc(-c3cnoc3)ccc2o1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccc4ocnc4c3)c21; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1', 'CS(=O)c1ccc(B(O)O)cc1']; ['CS(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2ocnc2c1']; [0.99989748, 0.99989748]
-CC(C)(N)c1ccc(-c2ccc3ocnc3c2)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1ccc2ocnc2c1; [None]; [None]; [0]
-CCN(CC)c1ccc2ocnc2c1; ['CCOS(=O)(=O)OCC']; ['Nc1ccc2ocnc2c1']; [0.949549615]
-COc1ccncc1Nc1ccc2ocnc2c1; ['COc1ccncc1Br']; ['Nc1ccc2ocnc2c1']; [0.999544322]
-O=c1[nH]ccc2oc(-c3ccc4ocnc4c3)cc12; [None]; [None]; [0]
-c1ccc2c(-c3ccc4ocnc4c3)c[nH]c2c1; [None]; [None]; [0]
-c1ccc2ncc(Nc3ccc4ocnc4c3)cc2c1; ['Clc1cnc2ccccc2c1', 'Brc1ccc2ocnc2c1']; ['Nc1ccc2ocnc2c1', 'Nc1cnc2ccccc2c1']; [0.999671936, 0.999671936]
-OC[C@H](Cc1ccccc1)c1ccc2ocnc2c1; [None]; [None]; [0]
-c1cc2c(-c3ccc4ocnc4c3)c[nH]c2cn1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc3ocnc3c2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc3ocnc3c2)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999986291]
-N#CC[C@@H]1CC[C@@H](c2ccc3ocnc3c2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3ocnc3c2)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccc2ocnc2c1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999849916]
-Oc1cccc2c1cnn2-c1ccc2ocnc2c1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1ccc2ocnc2c1; [None]; [None]; [0]
-Oc1ncccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3ocnc3c2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Clc1ccc2ocnc2c1']; [0.998077393]
-c1cc(Cc2ccc3ocnc3c2)ccn1; [None]; [None]; [0]
-c1nc2cc(OC3CCOCC3)ccc2o1; ['Brc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1']; ['OC1CCOCC1', 'OC1CCOCC1']; [0.999291897, 0.999291897]
-c1cn(-c2ccc3ocnc3c2)cn1; ['Brc1ccc2ocnc2c1']; ['c1c[nH]cn1']; [0.997110963]
-Oc1ccc2nc(-c3ccc4ocnc4c3)[nH]c2c1; [None]; [None]; [0]
-Nc1nnc(-c2ccc3ocnc3c2)s1; ['NNC(N)=S']; ['O=C(O)c1ccc2ocnc2c1']; [0.99985683]
-O=C(c1ccccc1)c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999669433, 0.999669433]
-c1ccc2sc(-c3ccc4ocnc4c3)nc2c1; ['Brc1ccc2ocnc2c1']; ['c1ccc2scnc2c1']; [0.999761641]
-Cc1cncc(-c2ccc3ocnc3c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3ocnc3c2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['COc1cccc(F)c1B(O)O']; [0.999964356]
-c1cc(-c2ccc3ocnc3c2)c2sccc2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['COc1ccc(C#N)cc1Br']; [0.998511255]
-Nc1nc(-c2ccc3ocnc3c2)nc2ccccc12; [None]; [None]; [0]
-c1cnc2c(-c3ccc4ocnc4c3)c[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)CNc1ccc2ocnc2c1; ['CC(C)(C)C=O', 'CC(C)(C)CN']; ['Nc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; [0.987293601, 0.987293601]
-c1cncc(Cc2ccc3ocnc3c2)c1; [None]; [None]; [0]
-CC(C)(C)Oc1ccc2ocnc2c1; ['CC(C)(C)O']; ['Fc1ccc2ocnc2c1']; [0.773798347]
-Cc1cc(C)cc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1']; ['Cc1cc(C)cc(B(O)O)c1']; [0.999888659]
-COc1ccc(OC)c(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1']; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; [0.999868035]
-N#Cc1ccc(Nc2ncc3ccccc3n2)cc1; ['N#Cc1ccc(I)cc1', 'N#Cc1ccc(Br)cc1']; ['Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.99974817, 0.99974817]
-C[C@@]1(O)CC[C@H](c2ccc3ocnc3c2)CC1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3ocnc3c2)C1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Clc1ccc2ocnc2c1']; [0.996356249]
-COc1ncccc1Nc1ncc2ccccc2n1; ['COc1ncccc1N', 'COc1ncccc1Br']; ['Clc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.999892116, 0.999892116]
-c1ccc2[nH]c(C3CCN(c4ccc5ocnc5c4)CC3)nc2c1; ['Brc1ccc2ocnc2c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.998563349]
-Cc1n[nH]cc1Nc1ncc2ccccc2n1; ['Cc1n[nH]cc1N']; ['Clc1ncc2ccccc2n1']; [0.999956489]
-CCOc1ccc(Nc2ncc3ccccc3n2)cc1; ['CCOc1ccc(N)cc1']; ['Clc1ncc2ccccc2n1']; [0.999902606]
-CS(=O)(=O)c1cccc(Nc2ncc3ccccc3n2)c1; ['CS(=O)(=O)c1cccc(N)c1']; ['Clc1ncc2ccccc2n1']; [0.999988079]
-COc1cc(Nc2ncc3ccccc3n2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC']; ['Nc1ncc2ccccc2n1']; [0.999833]
-Cn1cc(Nc2ncc3ccccc3n2)cn1; [None]; [None]; [0]
-Cn1nncc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-Oc1cccc(Nc2ncc3ccccc3n2)c1; ['Clc1ncc2ccccc2n1']; ['Nc1cccc(O)c1']; [0.999986053]
-Cc1nn(C)cc1Nc1ncc2ccccc2n1; ['Cc1nn(C)cc1N']; ['Clc1ncc2ccccc2n1']; [0.999771535]
-COc1ccc(Nc2ncc3ccccc3n2)cc1; ['COc1ccc(Br)cc1']; ['Nc1ncc2ccccc2n1']; [0.997661471]
-c1ccc2nc(Nc3cnc4cccnn34)ncc2c1; [None]; [None]; [0]
-NC(=O)c1ccc(Nc2ncc3ccccc3n2)cc1; ['Clc1ncc2ccccc2n1']; ['NC(=O)c1ccc(N)cc1']; [0.999973774]
-c1ccc2nc(NCc3nccc4ccccc34)ncc2c1; ['Clc1ncc2ccccc2n1']; ['NCc1nccc2ccccc12']; [0.999985814]
-c1ccc2nc(Nc3nc4ccccc4[nH]3)ncc2c1; ['CSc1nc2ccccc2[nH]1']; ['Nc1ncc2ccccc2n1']; [0.994220853]
-c1cnc(NNc2ncc3ccccc3n2)nc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Nc2ncc3ccccc3n2)cc1; ['Clc1ncc2ccccc2n1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.999996662]
-Fc1cccc(Nc2ncc3ccccc3n2)c1; ['Fc1cccc(Br)c1', 'Fc1cccc(I)c1']; ['Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.999801457, 0.999801457]
-OCCCNc1ncc2ccccc2n1; ['Nc1ncc2ccccc2n1']; ['OCCCO']; [0.999763668]
-Clc1ccc(Nc2ncc3ccccc3n2)cc1; ['Clc1ccc(I)cc1']; ['Nc1ncc2ccccc2n1']; [0.996611059]
-OCCOc1ccc(Nc2ncc3ccccc3n2)cc1; ['Nc1ncc2ccccc2n1']; ['OCCOc1ccc(Br)cc1']; [0.999672771]
-Cc1cc(Nc2ncc3ccccc3n2)nn1C; ['Cc1cc(N)nn1C']; ['Clc1ncc2ccccc2n1']; [0.999897122]
-FC(F)(F)c1ccc(Nc2ncc3ccccc3n2)cc1; ['Clc1ncc2ccccc2n1', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1']; ['Nc1ccc(C(F)(F)F)cc1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.999940157, 0.999940157, 0.999940157]
-c1cc(Nc2ncc3ccccc3n2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2ncc3ccccc3n2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['Clc1ncc2ccccc2n1']; [0.999974132]
-C[C@H](O)COc1ccc(Nc2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-Clc1ncc(Nc2ncc3ccccc3n2)cn1; ['Clc1ncc2ccccc2n1', 'Clc1ncc(Br)cn1']; ['Nc1cnc(Cl)nc1', 'Nc1ncc2ccccc2n1']; [0.999489069, 0.999489069]
-CN(C)c1ccc(Nc2ncc3ccccc3n2)cc1; ['CN(C)c1ccc(Br)cc1']; ['Nc1ncc2ccccc2n1']; [0.997419596]
-Cc1nc(C)c(Nc2ncc3ccccc3n2)s1; [None]; [None]; [0]
-Brc1ccc(Nc2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-c1ccc2nc(Nc3cncnc3)ncc2c1; ['Clc1ncc2ccccc2n1', 'Brc1cncnc1']; ['Nc1cncnc1', 'Nc1ncc2ccccc2n1']; [0.99957794, 0.99957794]
-COc1ccc(Cl)cc1Nc1ncc2ccccc2n1; ['COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1N']; ['Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1']; [0.999840498, 0.999840498, 0.999840498]
-c1ccc2nc(Nc3cn[nH]c3)ncc2c1; ['Clc1ncc2ccccc2n1']; ['Nc1cn[nH]c1']; [0.999931097]
-c1ccc2nc(Nc3ccc4c(c3)CCO4)ncc2c1; ['Ic1ccc2c(c1)CCO2']; ['Nc1ncc2ccccc2n1']; [0.999129117]
-c1ccc2nc(Nc3c[nH]c4ccccc34)ncc2c1; [None]; [None]; [0]
-COc1cc(Nc2ncc3ccccc3n2)ccc1O; ['COc1cc(N)ccc1O']; ['Clc1ncc2ccccc2n1']; [0.999701]
-c1c[nH]c(Nc2ncc3ccccc3n2)c1; [None]; [None]; [0]
-c1ccc2cc(Nc3ncc4ccccc4n3)ncc2c1; ['Clc1cc2ccccc2cn1']; ['Nc1ncc2ccccc2n1']; [0.999566495]
-CC(=O)Nc1cccc(Nc2ncc3ccccc3n2)c1; ['CC(=O)Nc1cccc(N)c1']; ['Clc1ncc2ccccc2n1']; [0.999981523]
-Fc1ccc(Nc2ncc3ccccc3n2)cc1F; ['Fc1ccc(Br)cc1F']; ['Nc1ncc2ccccc2n1']; [0.999948502]
-c1cc(Nc2ncc3ccccc3n2)c2c(c1)OCO2; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2ncc3ccccc3n2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['Clc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.999979377, 0.999979377]
-c1ccc2nc(Nc3scc4c3OCCO4)ncc2c1; [None]; [None]; [0]
-Cc1cc(Nc2ncc3ccccc3n2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Nc1ncc2ccccc2n1']; [0.999979138]
-c1ccc2ncc(Nc3ncc4ccccc4n3)cc2c1; ['Brc1cnc2ccccc2c1']; ['Nc1ncc2ccccc2n1']; [0.951821]
-CSc1cccc(Nc2ncc3ccccc3n2)c1; ['CSc1cccc(N)c1', 'CSc1cccc(Br)c1']; ['Clc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.999966741, 0.999966741]
-CC[C@@H](CO)Nc1ncc2ccccc2n1; ['CC[C@H](N)CO']; ['Clc1ncc2ccccc2n1']; [0.9984622]
-c1coc(Nc2ncc3ccccc3n2)c1; [None]; [None]; [0]
-Fc1ccc(Nc2ncc3ccccc3n2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1']; ['Nc1ncc2ccccc2n1']; [0.999916077]
-Brc1cnc(Nc2ncc3ccccc3n2)nc1; ['Brc1cnc(Br)nc1']; ['Nc1ncc2ccccc2n1']; [0.997215629]
-COc1ccc(Nc2ncc3ccccc3n2)cc1OC; ['COc1ccc(N)cc1OC']; ['Clc1ncc2ccccc2n1']; [0.999957323]
-O[C@@H]1CC[C@@H](Nc2ncc3ccccc3n2)CC1; ['Clc1ncc2ccccc2n1']; ['N[C@H]1CC[C@H](O)CC1']; [0.999989748]
-Clc1ccc(Nc2ncc3ccccc3n2)c(Cl)c1; ['Clc1ccc(Br)c(Cl)c1', 'Clc1ncc2ccccc2n1']; ['Nc1ncc2ccccc2n1', 'Nc1ccc(Cl)cc1Cl']; [0.999311566, 0.999311566]
-c1ccc2nc(Nc3ccsc3)ncc2c1; ['Clc1ncc2ccccc2n1', 'Brc1ccsc1']; ['Nc1ccsc1', 'Nc1ncc2ccccc2n1']; [0.999940515, 0.999940515]
-Cc1cc(C)cc(Nc2ncc3ccccc3n2)c1; ['Cc1cc(C)cc(Br)c1']; ['Nc1ncc2ccccc2n1']; [0.999971628]
-O[C@@H]1CC[C@H](Nc2ncc3ccccc3n2)C1; [None]; [None]; [0]
-CCc1ccc(Nc2ncc3ccccc3n2)cc1; ['CCc1ccc(N)cc1']; ['Clc1ncc2ccccc2n1']; [0.999914289]
-COc1ccc2cccc(Nc3ncc4ccccc4n3)c2c1; [None]; [None]; [0]
-Cn1cc(Nc2ncc3ccccc3n2)c(C(F)(F)F)n1; ['Cn1cc(I)c(C(F)(F)F)n1']; ['Nc1ncc2ccccc2n1']; [0.999953032]
-COc1cc(Nc2ncc3ccccc3n2)ccc1Cl; ['COc1cc(Br)ccc1Cl']; ['Nc1ncc2ccccc2n1']; [0.999978185]
-Oc1ccc2cccc(Nc3ncc4ccccc4n3)c2c1; ['Clc1ncc2ccccc2n1']; ['Nc1cccc2ccc(O)cc12']; [0.999468863]
-COc1cc(F)c(Nc2ncc3ccccc3n2)cc1OC; [None]; [None]; [0]
-COc1cc(Nc2ncc3ccccc3n2)cc(OC)c1; ['COc1cc(N)cc(OC)c1']; ['Clc1ncc2ccccc2n1']; [0.999986172]
-COc1cc(Nc2ncc3ccccc3n2)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['Nc1ncc2ccccc2n1']; [0.968303084]
-CNC(=O)c1ccc(Nc2ncc3ccccc3n2)cc1; ['CNC(=O)c1ccc(I)cc1']; ['Nc1ncc2ccccc2n1']; [0.998203754]
-Cc1ccc(Nc2ncc3ccccc3n2)o1; [None]; [None]; [0]
-c1ccc2nc(Nc3ccc4cn[nH]c4c3)ncc2c1; ['Clc1ncc2ccccc2n1', 'Brc1ccc2cn[nH]c2c1']; ['Nc1ccc2cn[nH]c2c1', 'Nc1ncc2ccccc2n1']; [0.999992728, 0.999992728]
-CCc1cccc(Nc2ncc3ccccc3n2)n1; ['CCc1cccc(N)n1']; ['Clc1ncc2ccccc2n1']; [0.999628425]
-FC(F)(F)Oc1ccc(Nc2ncc3ccccc3n2)cc1; ['Clc1ncc2ccccc2n1']; ['Nc1ccc(OC(F)(F)F)cc1']; [0.999997616]
-c1ccc2nc(Nc3cc4ccccc4o3)ncc2c1; [None]; [None]; [0]
-Cc1ccc(Nc2ncc3ccccc3n2)nc1C; ['Cc1ccc(N)nc1C']; ['Clc1ncc2ccccc2n1']; [0.999930859]
-OCCc1ccc(Nc2ncc3ccccc3n2)cc1; ['Clc1ncc2ccccc2n1']; ['Nc1ccc(CCO)cc1']; [0.999818146]
-c1ccc2nc(Nc3cscn3)ncc2c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3cccnn23)cn1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [1.0, 1.0]
-COc1cc(N2CCNCC2)ccc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(Nc2ncc3ccccc3n2)c1; ['Clc1ncc2ccccc2n1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.999973536]
-c1cc(-c2cnc3cccnn23)c2cccnc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(Nc2ncc3ccccc3n2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ncc2ccccc2n1']; [0.999984741]
-CCc1ccc(-c2cnc3cccnn23)cc1; ['CCc1ccc(Br)cc1']; ['c1cnn2ccnc2c1']; [0.999941111]
-Oc1cc(-c2cnc3cccnn23)ccc1Cl; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cnc2cccnn12; ['Brc1cnc2cccnn12']; ['OB(O)c1c(F)cccc1F']; [0.99999547]
-c1ccc2c(-c3cnc4cccnn34)n[nH]c2c1; [None]; [None]; [0]
-Fc1ccc(Oc2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12']; ['Oc1ccc(F)cc1']; [0.999992847]
-CNS(=O)(=O)c1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cnc2cccnn12; ['Clc1cccc(Cl)c1Br']; ['c1cnn2ccnc2c1']; [0.999838]
-NC(=O)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999999523]
-Cc1ncc(-c2cnc3cccnn23)[nH]1; [None]; [None]; [0]
-Clc1ccccc1-c1cnc2cccnn12; ['Clc1ccccc1Br']; ['c1cnn2ccnc2c1']; [0.999984264]
-Oc1ccc(-c2cnc3cccnn23)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cnc3cccnn23)C1; [None]; [None]; [0]
-N#Cc1cnc(-c2cnc3cccnn23)cn1; [None]; [None]; [0]
-c1cnn2c(-c3cc[nH]c3)cnc2c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc3cccnn23)cc1; ['N#Cc1ccc(Br)cc1']; ['c1cnn2ccnc2c1']; [0.999972939]
-c1cnn2c(-c3ccoc3)cnc2c1; ['Brc1cnc2cccnn12']; ['OB(O)c1ccoc1']; [0.999998569]
-COc1cc(-c2cnc3cccnn23)ccc1O; [None]; [None]; [0]
-COc1cc(CCc2cnc3cccnn23)ccc1O; [None]; [None]; [0]
-Brc1cccc(-c2cnc3cccnn23)c1; ['Brc1cccc(Br)c1']; ['c1cnn2ccnc2c1']; [0.999890089]
-Clc1cccc(OCc2cnc3cccnn23)c1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnc3cccnn23)o1; [None]; [None]; [0]
-c1csc(-c2cnc3cccnn23)c1; ['Br[Mg]c1cccs1']; ['Brc1cnc2cccnn12']; [0.999993801]
-N#Cc1ccc(-c2cnc3cccnn23)cn1; ['N#Cc1ccc(Br)cn1']; ['c1cnn2ccnc2c1']; [0.999920726]
-Oc1ccc(-c2cnc3cccnn23)c(O)c1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3cccnn23)cc1Cl; ['Brc1cnc2cccnn12']; ['OB(O)c1ccc(F)c(Cl)c1']; [0.999999881]
-OCCCc1cnc2cccnn12; [None]; [None]; [0]
-Clc1ccccc1OCc1cnc2cccnn12; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnc3cccnn23)c1; ['COC(=O)c1ccc(Cl)c(Br)c1']; ['c1cnn2ccnc2c1']; [0.999877691]
-Cc1ccc(-c2cnc3cccnn23)cc1C; ['Cc1ccc(Br)cc1C']; ['c1cnn2ccnc2c1']; [0.99973613]
-OC[C@H](c1ccccc1)c1cnc2cccnn12; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnc2cccnn12; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnc2cccnn12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'COc1cc(Br)cc(OC)c1']; ['COc1cc(OC)cc(B(O)O)c1', 'c1cnn2ccnc2c1']; [0.999999762, 0.999999762]
-Oc1ncc(-c2cnc3cccnn23)cc1Cl; [None]; [None]; [0]
-COc1ccc(-c2cnc3cccnn23)cc1OC; ['COc1ccc(Br)cc1OC']; ['c1cnn2ccnc2c1']; [0.999932408]
-CS(=O)(=O)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999999046]
-O=c1ccccn1Cc1cnc2cccnn12; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc4cccnn34)cc2[nH]1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cnc4cccnn34)ccc2N1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12']; ['Cc1cc(O)ccc1B(O)O']; [0.998830259]
-Oc1cncc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnc2cccnn12; [None]; [None]; [0]
-c1cnn2c(-n3ccnc3)cnc2c1; ['Brc1cnc2cccnn12']; ['c1c[nH]cn1']; [0.999974847]
-C[C@H](CC(N)=O)c1cnc2cccnn12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cnc2cccnn12; ['Brc1cnc2cccnn12']; ['Cc1cccc(C)c1B(O)O']; [0.999927878]
-CCc1sccc1-c1cnc2cccnn12; [None]; [None]; [0]
-c1cnn2c(-c3ccc4c(c3)CCN4)cnc2c1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3cnc4cccnn34)cc2[nH]1; ['O=c1[nH]c2ccc(Br)cc2[nH]1']; ['c1cnn2ccnc2c1']; [0.999810874]
-Oc1c(Cl)cc(-c2cnc3cccnn23)cc1Cl; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cnc2cccnn12; ['Fc1cc(Br)ccc1Br', 'Brc1cnc2cccnn12']; ['c1cnn2ccnc2c1', 'OB(O)c1ccc(Br)cc1F']; [0.999946475, 0.999946475]
-c1cnn2c(Nc3ccncc3)cnc2c1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnc2cccnn12; [None]; [None]; [0]
-Cc1ccc(-c2cnc3cccnn23)nc1C; [None]; [None]; [0]
-Cc1csc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3cccnn23)c(C)n1; ['Cc1ccc(Br)c(C)n1']; ['c1cnn2ccnc2c1']; [0.9999156]
-Oc1cc(Br)cc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-c1cnn2c(-c3cnco3)cnc2c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc4cccnn34)cc2o1; [None]; [None]; [0]
-CSc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12']; ['CSc1cccc(B(O)O)c1']; [0.999942541]
-O=c1[nH][nH]c2cc(-c3cnc4cccnn34)ccc12; [None]; [None]; [0]
-Oc1c(F)cc(-c2cnc3cccnn23)cc1F; [None]; [None]; [0]
-Fc1ccccc1Oc1cnc2cccnn12; ['Brc1cnc2cccnn12']; ['Oc1ccccc1F']; [0.999995708]
-Fc1ccc(Oc2cnc3cccnn23)c(F)c1; ['Brc1cnc2cccnn12']; ['Oc1ccc(F)cc1F']; [0.999999762]
-c1ccc(COc2cnc3cccnn23)cc1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1cnc2cccnn12; ['Brc1cnc2cccnn12']; ['NCc1c(F)cccc1Cl']; [1.0]
-Fc1ccc(Cc2cnc3cccnn23)cc1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3cccnn23)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1']; ['c1cnn2ccnc2c1']; [0.999998569]
-CCOc1ccccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12']; ['CCOc1ccccc1B(O)O']; [0.999999404]
-Fc1cc(F)cc(Cc2cnc3cccnn23)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cnc2cccnn12; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cnc3cccnn23)c1; ['FC(F)(F)c1cccc(Br)c1']; ['c1cnn2ccnc2c1']; [0.999993563]
-c1ccc2c(-c3cnc4cccnn34)ccnc2c1; ['Brc1ccnc2ccccc12']; ['c1cnn2ccnc2c1']; [0.985204697]
-c1cncc(-c2cnc3cccnn23)c1; ['Brc1cccnc1']; ['c1cnn2ccnc2c1']; [0.998246312]
-c1cnn2c(-c3cc[nH]n3)cnc2c1; [None]; [None]; [0]
-Brc1ccccc1-c1cnc2cccnn12; ['Brc1ccccc1Br']; ['c1cnn2ccnc2c1']; [0.999903798]
-N#Cc1ccccc1-c1cnc2cccnn12; ['N#Cc1ccccc1Br']; ['c1cnn2ccnc2c1']; [0.999994159]
-Fc1ccccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Fc1ccccc1Br']; ['OB(O)c1ccccc1F', 'c1cnn2ccnc2c1']; [0.999999762, 0.999999762]
-c1ccc(Cn2cc(-c3cnc4cccnn34)cn2)cc1; ['Brc1cnc2cccnn12', 'Brc1cnn(Cc2ccccc2)c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'c1cnn2ccnc2c1']; [1.0, 1.0]
-NC(=O)c1ccccc1-c1cnc2cccnn12; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1cnc2cccnn12; ['FC(F)(F)Oc1ccccc1Br']; ['c1cnn2ccnc2c1']; [1.0]
-N[C@@H](c1ccco1)c1cnc2cccnn12; [None]; [None]; [0]
-OCCn1cc(-c2cnc3cccnn23)cn1; ['Brc1cnc2cccnn12']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; [0.999999881]
-c1ccc(-c2ncc(-c3cnc4cccnn34)[nH]2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3cccnn23)c(Br)c1; [None]; [None]; [0]
-c1cnn2c(-c3ccc4c(c3)CCC4)cnc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnc3cccnn23)c1)c1ccccc1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cnc2cccnn12; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnc3cccnn23)s1; [None]; [None]; [0]
-CC(C)(C)Nc1cnc2cccnn12; [None]; [None]; [0]
-c1ccn2c(-c3cnc4cccnn34)cnc2c1; [None]; [None]; [0]
-Clc1cccc(-c2cnc3cccnn23)c1Cl; [None]; [None]; [0]
-c1cnn2c(-c3cnc4cccnn34)cnc2c1; [None]; [None]; [0]
-c1cnn2c(OC3CCCCC3)cnc2c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cnc3cccnn23)c1; ['Cc1ccc(Cl)c(Br)c1']; ['c1cnn2ccnc2c1']; [0.999921799]
-c1cncc(CNc2cnc3cccnn23)c1; [None]; [None]; [0]
-c1ccc2cc(-c3cnc4cccnn34)ccc2c1; ['Brc1ccc2ccccc2c1']; ['c1cnn2ccnc2c1']; [0.999910235]
-COc1cccc(-c2cnc3cccnn23)c1; ['COc1cccc(Br)c1']; ['c1cnn2ccnc2c1']; [0.999916077]
-Clc1ccc(-c2cnc3cccnn23)s1; [None]; [None]; [0]
-C[C@H](CO)Nc1cnc2cccnn12; [None]; [None]; [0]
-c1cncc(Nc2cnc3cccnn23)c1; [None]; [None]; [0]
-c1ccc2c(c1)ncn2-c1cnc2cccnn12; [None]; [None]; [0]
-O=C(Nc1cnc2cccnn12)c1cccs1; [None]; [None]; [0]
-CC(C)COc1cnc2cccnn12; [None]; [None]; [0]
-Oc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12']; ['OB(O)c1cccc(O)c1']; [0.999992132]
-c1ccc2c(-c3cnc4cccnn34)cncc2c1; ['Brc1cnc2cccnn12', 'Brc1cncc2ccccc12']; ['OB(O)c1cncc2ccccc12', 'c1cnn2ccnc2c1']; [0.999999046, 0.999999046]
-C[C@@H](O)[C@@H](C)Oc1cnc2cccnn12; [None]; [None]; [0]
-Cn1cncc1-c1cnc2cccnn12; [None]; [None]; [0]
-OCc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(B(O)O)c1']; [0.999999642, 0.999999642]
-c1coc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cnc3cccnn23)c1; ['N#CCCc1cccc(Br)c1']; ['c1cnn2ccnc2c1']; [0.999754965]
-CC(=O)Nc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12']; ['CC(=O)Nc1cccc(B(O)O)c1']; [0.999999166]
-CC(C)Nc1cnc2cccnn12; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3cccnn23)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1']; ['c1cnn2ccnc2c1']; [0.994482875]
-COc1ccc(-c2cnc3cccnn23)cc1Cl; ['COc1ccc(Br)cc1Cl']; ['c1cnn2ccnc2c1']; [0.999966264]
-CCCn1cc(-c2cnc3cccnn23)cn1; ['Brc1cnc2cccnn12']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [1.0]
-CCC(=O)Nc1cnc2cccnn12; [None]; [None]; [0]
-Cc1cc(-c2cnc3cccnn23)no1; [None]; [None]; [0]
-c1cnn2c(-c3cnoc3)cnc2c1; ['Brc1cnoc1']; ['c1cnn2ccnc2c1']; [0.999009]
-O=C1CCc2cccc(-c3cnc4cccnn34)c21; ['O=C1CCc2cccc(Br)c21']; ['c1cnn2ccnc2c1']; [0.998832881]
-CC(C)(N)c1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12']; ['CS(=O)c1ccc(B(O)O)cc1']; [0.999998331]
-CCN(CC)c1cnc2cccnn12; ['Brc1cnc2cccnn12']; ['CCNCC']; [0.999936223]
-CCOC(=O)Cc1cnc2cccnn12; [None]; [None]; [0]
-c1ccc2c(-c3cnc4cccnn34)c[nH]c2c1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-COc1ccncc1Nc1cnc2cccnn12; [None]; [None]; [0]
-c1cnn2c(-c3c[nH]c4cnccc34)cnc2c1; [None]; [None]; [0]
-c1ccc2ncc(Nc3cnc4cccnn34)cc2c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cnc2cccnn12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cnc3cccnn23)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cnc2cccnn12; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cnc2cccnn12; [None]; [None]; [0]
-Oc1ncccc1-c1cnc2cccnn12; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1cnc2cccnn12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cnc2cccnn12; [None]; [None]; [0]
-COc1ccc(-c2cnc3cccnn23)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'Brc1cnc2cccnn12']; ['c1cnn2ccnc2c1', 'COc1ccc(B(O)O)c(OC)c1']; [0.999999762, 0.999999762]
-Oc1ccc2nc(-c3cnc4cccnn34)[nH]c2c1; [None]; [None]; [0]
-c1cnn2c(Cc3ccncc3)cnc2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999999642]
-c1cnn2c(OC3CCOCC3)cnc2c1; ['Brc1cnc2cccnn12']; ['OC1CCOCC1']; [0.999931693]
-Nc1nnc(-c2cnc3cccnn23)s1; [None]; [None]; [0]
-Nc1ncc(-c2cnc3cccnn23)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cnc2cccnn12; ['COc1cccc(F)c1Br']; ['c1cnn2ccnc2c1']; [0.999994755]
-c1cc(-c2cnc3cccnn23)c2sccc2c1; ['Brc1cccc2ccsc12']; ['c1cnn2ccnc2c1']; [0.999823511]
-COc1ccc(C#N)cc1-c1cnc2cccnn12; ['COc1ccc(C#N)cc1Br']; ['c1cnn2ccnc2c1']; [0.999947906]
-Cc1cncc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-c1cnc2c(-c3cnc4cccnn34)c[nH]c2c1; [None]; [None]; [0]
-Nc1nc(-c2cnc3cccnn23)nc2ccccc12; [None]; [None]; [0]
-CC(C)(C)CNc1cnc2cccnn12; [None]; [None]; [0]
-CC(C)(C)Oc1cnc2cccnn12; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cnc3cccnn23)c1; ['Cc1cc(C)cc(Br)c1']; ['c1cnn2ccnc2c1']; [0.999918222]
-COc1ccc(OC)c(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'COc1ccc(OC)c(Br)c1']; ['COc1ccc(OC)c(B(O)O)c1', 'c1cnn2ccnc2c1']; [0.999997258, 0.999997258]
-c1cncc(Cc2cnc3cccnn23)c1; [None]; [None]; [0]
-Clc1cccc(-c2ccncc2)c1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'Ic1ccncc1', 'Clc1cccc(I)c1']; ['Clc1cccc(Br)c1', 'OB(O)c1cccc(Cl)c1', 'OB(O)c1ccncc1']; [0.999995589, 0.999995589, 0.999995589]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cnc3cccnn23)C1; [None]; [None]; [0]
-Cn1cc(-c2cccc(Cl)c2)cn1; ['Clc1cccc(Cl)c1', 'Cn1cc(I)cn1', 'Clc1cccc(Br)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'OB(O)c1cccc(Cl)c1', 'Cn1cc(B(O)O)cn1']; [0.999924898, 0.999924898, 0.999924898]
-C[C@@]1(O)CC[C@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
-Clc1cccc(-c2cccc3ncccc23)c1; ['Brc1cccc2ncccc12']; ['OB(O)c1cccc(Cl)c1']; [0.999899268]
-Clc1cccc(-c2cn[nH]c2)c1; []; []; []
-c1ccc2[nH]c(C3CCN(c4cnc5cccnn45)CC3)nc2c1; ['Brc1cnc2cccnn12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.99995327]
-Oc1cc(-c2cccc(Cl)c2)ccc1Cl; ['OB(O)c1cccc(Cl)c1']; ['Oc1cc(I)ccc1Cl']; [0.999946237]
-Oc1ccc(-c2cccc(Cl)c2)cc1; ['OB(O)c1cccc(Cl)c1', 'Clc1cccc(I)c1', 'Clc1cccc(Br)c1', 'Clc1cccc(Cl)c1', 'OB(O)c1cccc(Cl)c1', 'OB(O)c1cccc(Cl)c1']; ['Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1']; [0.999721587, 0.999721587, 0.999721587, 0.999721587, 0.999721587, 0.999721587]
-CCc1ccc(-c2cccc(Cl)c2)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(Cl)cc1', 'CCc1ccc([Mg]Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Cl)cc1']; ['Clc1cccc(Cl)c1', 'OB(O)c1cccc(Cl)c1', 'Clc1cccc(Cl)c1', 'Clc1cccc(I)c1', 'Clc1cccc([Mg]Br)c1']; [0.998085141, 0.998085141, 0.998085141, 0.998085141, 0.998085141]
-CNS(=O)(=O)c1ccc(-c2cccc(Cl)c2)cc1; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['CNS(=O)(=O)c1ccc(Br)cc1', 'OB(O)c1cccc(Cl)c1']; [0.999472082, 0.999472082]
-Fc1cccc(F)c1-c1cccc(Cl)c1; ['Clc1cccc(I)c1']; ['Fc1cccc(F)c1']; [0.856843472]
-Clc1cccc(-c2n[nH]c3ccccc23)c1; ['Brc1n[nH]c2ccccc12']; ['OB(O)c1cccc(Cl)c1']; [0.998840272]
-NC(=O)c1ccc(-c2cccc(Cl)c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'NC(=O)c1ccc(I)cc1', 'Clc1cccc(Br)c1', 'NC(=O)c1ccc(Br)cc1', 'Clc1cccc(I)c1']; ['Clc1cccc(Br)c1', 'NC(=O)c1ccc(Br)cc1', 'OB(O)c1cccc(Cl)c1', 'NC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cccc(Cl)c1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.999992, 0.999992, 0.999992, 0.999992, 0.999992, 0.999992]
-Clc1cccc(-c2c(Cl)cccc2Cl)c1; ['Clc1cccc(Cl)c1']; ['Nc1cccc(Cl)c1']; [0.85045594]
-Nc1nccc(-c2cccc(Cl)c2)n1; ['Nc1nccc(Cl)n1']; ['OB(O)c1cccc(Cl)c1']; [0.996949613]
-Fc1ccc(Oc2cccc(Cl)c2)cc1; ['Fc1ccc(Cl)cc1', 'Clc1cccc(Cl)c1']; ['Oc1cccc(Cl)c1', 'Oc1ccc(F)cc1']; [0.968980312, 0.968980312]
-Oc1ccc(-c2cccc(Cl)c2)c(Cl)c1; ['Clc1cccc(I)c1']; ['O=C(O)c1cc(O)cc(Cl)c1']; [0.77886641]
-Cc1ncc(-c2cccc(Cl)c2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1cccc(Cl)c1']; [0.979559183]
-Clc1cccc(-c2ccccc2Cl)c1; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'Clc1cccc(Cl)c1', 'Clc1ccccc1Cl']; ['Clc1ccccc1Br', 'Clc1cccc(Br)c1', 'OB(O)c1ccccc1Cl', 'OB(O)c1cccc(Cl)c1']; [0.999997735, 0.999997735, 0.999997735, 0.999997735]
-Clc1cccc(-c2cc[nH]c2)c1; [None]; [None]; [0]
-N#Cc1cnc(-c2cccc(Cl)c2)cn1; ['N#Cc1cnc(Br)cn1']; ['OB(O)c1cccc(Cl)c1']; [0.999961138]
-O[C@H]1C[C@@H](c2cccc(Cl)c2)C1; [None]; [None]; [0]
-N#Cc1ccc(-c2cccc(Cl)c2)cc1; ['Clc1cccc(Br)c1']; ['N#Cc1ccc(Br)cc1']; [0.977135]
-COC(=O)c1ccc(-c2cccc(Cl)c2)o1; ['COC(=O)c1ccc(Br)o1']; ['Clc1cccc(Br)c1']; [0.998380423]
-COc1cc(-c2cccc(Cl)c2)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(F)ccc1O']; ['OB(O)c1cccc(Cl)c1', 'OB(O)c1cccc(Cl)c1', 'Clc1cccc([Mg]Br)c1']; [0.999437392, 0.999437392, 0.999437392]
-N#Cc1ccc(-c2cccc(Cl)c2)cn1; ['CC1(C)OB(c2ccc(C#N)nc2)OC1(C)C', 'Clc1cccc(I)c1']; ['Clc1cccc(I)c1', 'N#Cc1ccc(Br)cn1']; [0.999846101, 0.999846101]
-Clc1cccc(-c2ccoc2)c1; ['Clc1cccc(Br)c1', 'Brc1ccoc1', 'Clc1cccc(I)c1', 'Clc1cccc(Cl)c1']; ['OB(O)c1ccoc1', 'OB(O)c1cccc(Cl)c1', 'OB(O)c1ccoc1', 'OB(O)c1ccoc1']; [0.997217655, 0.997217655, 0.997217655, 0.997217655]
-Clc1cccc(-c2cnccn2)c1; ['Clc1cnccn1']; ['OB(O)c1cccc(Cl)c1']; [0.999207795]
-Clc1cccc(COc2cccc(Cl)c2)c1; ['Clc1cccc(CBr)c1']; ['Oc1cccc(Cl)c1']; [0.99975878]
-Clc1cccc(-c2cccs2)c1; ['Br[Mg]c1cccs1', 'Brc1cccs1']; ['Clc1cccc(I)c1', 'OB(O)c1cccc(Cl)c1']; [0.998827755, 0.998827755]
-OCCCc1cccc(Cl)c1; []; []; []
-COc1cc(CCc2cccc(Cl)c2)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cccc(Cl)c2)c1; ['COC(=O)c1ccc(Cl)c(Br)c1']; ['Clc1cccc(Br)c1']; [0.996549606]
-Clc1cccc(-c2cccc(Br)c2)c1; ['Brc1cccc(I)c1']; ['Clc1cccc(I)c1']; [0.937785625]
-Clc1cccc(-c2ccncn2)c1; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'Clc1ccncn1']; ['Clc1ccncn1', 'OB(O)c1cccc(Cl)c1']; [0.999980807, 0.999980807]
-Fc1ccc(-c2cccc(Cl)c2)cc1Cl; ['Clc1cccc(Br)c1']; ['Fc1ccccc1Cl']; [0.998156369]
-Oc1ccc(-c2cccc(Cl)c2)c(O)c1; ['OB(O)c1cccc(Cl)c1']; ['Oc1ccc(Br)c(O)c1']; [0.997967303]
-Clc1cccc(COc2ccccc2Cl)c1; ['ClCc1cccc(Cl)c1', 'OCc1cccc(Cl)c1', 'Fc1ccccc1Cl']; ['Oc1ccccc1Cl', 'Oc1ccccc1Cl', 'OCc1cccc(Cl)c1']; [0.987653792, 0.987653792, 0.987653792]
-Cc1ccc(-c2cccc(Cl)c2)cc1C; ['Cc1ccccc1C']; ['Clc1cccc(I)c1']; [0.903431177]
-OC[C@H](c1ccccc1)c1cccc(Cl)c1; [None]; [None]; [0]
-Oc1ncc(-c2cccc(Cl)c2)cc1Cl; ['OB(O)c1cccc(Cl)c1']; ['Oc1ncc(Br)cc1Cl']; [0.998996317]
-Cc1ccc(O)cc1-c1cccc(Cl)c1; ['Cc1ccc(O)cc1Br']; ['OB(O)c1cccc(Cl)c1']; [0.996226192]
-Oc1ccc(Cl)c(-c2cccc(Cl)c2)c1; ['OB(O)c1cccc(Cl)c1', 'OB(O)c1cccc(Cl)c1']; ['Oc1ccc(Cl)c(Br)c1', 'Oc1ccc(Cl)c(I)c1']; [0.999464571, 0.999464571]
-Cc1ccc(CO)cc1-c1cccc(Cl)c1; ['Cc1ccc(CO)cc1Cl']; ['OB(O)c1cccc(Cl)c1']; [0.994555235]
-COc1ccc(-c2cccc(Cl)c2)cc1OC; ['COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc([Mg]Br)cc1OC']; ['OB(O)c1cccc(Cl)c1', 'Clc1cccc(Br)c1', 'Clc1cccc(Cl)c1']; [0.997248113, 0.997248113, 0.997248113]
-O=c1ccccn1Cc1cccc(Cl)c1; ['Clc1cccc(CBr)c1', 'ClCc1cccc(Cl)c1']; ['O=c1cccc[nH]1', 'O=c1cccc[nH]1']; [0.998969316, 0.998969316]
-COc1cc(OC)cc(-c2cccc(Cl)c2)c1; ['COc1cc(I)cc(OC)c1']; ['Clc1cccc(I)c1']; [0.950030088]
-CS(=O)(=O)c1ccc(-c2cccc(Cl)c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Clc1cccc(Br)c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Clc1cccc(Br)c1', 'OB(O)c1cccc(Cl)c1']; [0.999995947, 0.999995947, 0.999995947, 0.999995947]
-NC(=O)Nc1ccc(-c2cccc(Cl)c2)cc1; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C']; ['NC(=O)Nc1ccc(Br)cc1']; [0.999949574]
-Cc1nc2ccc(-c3cccc(Cl)c3)cc2[nH]1; ['Cc1nc2ccc(Br)cc2[nH]1']; ['OB(O)c1cccc(Cl)c1']; [0.999623537]
-Clc1cccc(-c2nc3ccccc3s2)c1; ['Nc1ccccc1I', 'Nc1ccccc1S', 'NCc1cccc(Cl)c1']; ['O=Cc1cccc(Cl)c1', 'O=Cc1cccc(Cl)c1', 'Nc1ccccc1S']; [0.999973297, 0.999973297, 0.999973297]
-Oc1cncc(-c2cccc(Cl)c2)c1; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'Clc1cccc(Br)c1']; ['Oc1cncc(Br)c1', 'Oc1cncc(Br)c1']; [0.999961615, 0.999961615]
-NC(=O)[C@H]1CC[C@@H](c2cccc(Cl)c2)CC1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cccc(Cl)c3)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'O=C1Cc2cc(Br)ccc2N1']; ['Clc1cccc(Br)c1', 'O=C1Cc2cc(Br)ccc2N1', 'OB(O)c1cccc(Cl)c1']; [0.999952316, 0.999952316, 0.999952316]
-C[C@H](CC(N)=O)c1cccc(Cl)c1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cccc(Cl)c1; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B(O)O']; ['Cc1cc(O)ccc1Br', 'OB(O)c1cccc(Cl)c1', 'OB(O)c1cccc(Cl)c1', 'Clc1cccc([Mg]Br)c1', 'OB(O)c1cccc(Cl)c1', 'Clc1cccc(I)c1', 'Clc1cccc(Br)c1', 'Clc1cccc(Cl)c1']; [0.999997377, 0.999997377, 0.999997377, 0.999997377, 0.999997377, 0.999997377, 0.999997377, 0.999997377]
-CCc1cc(O)ccc1-c1cccc(Cl)c1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cccc(Cl)c1; ['Cc1cccc(C)c1B(O)O', 'Cc1cccc(C)c1Br', 'Cc1cccc(C)c1B(O)O', 'Cc1cccc(C)c1I', 'Cc1cccc(C)c1Br']; ['Clc1cccc(Br)c1', 'OB(O)c1cccc(Cl)c1', 'Clc1cccc(I)c1', 'OB(O)c1cccc(Cl)c1', 'Clc1cccc(Br)c1']; [0.99967742, 0.99967742, 0.99967742, 0.99967742, 0.99967742]
-Oc1c(Cl)cc(-c2cccc(Cl)c2)cc1Cl; ['Clc1cccc(Br)c1']; ['Oc1c(Cl)cccc1Cl']; [0.893788695]
-Clc1cccc(-n2ccnc2)c1; ['Clc1cccc(Br)c1', 'Clc1cccc(I)c1', 'Clc1cccc(Cl)c1']; ['c1c[nH]cn1', 'c1c[nH]cn1', 'c1c[nH]cn1']; [0.99946171, 0.99946171, 0.99946171]
-CCc1sccc1-c1cccc(Cl)c1; ['CCc1cccs1']; ['Clc1cccc(I)c1']; [0.966382086]
-Nc1cc(-c2cccc(Cl)c2)[nH]n1; []; []; []
-Clc1cccc(-c2nccs2)c1; ['CCOC(CBr)OCC', 'Clc1cccc(Br)c1', 'Brc1nccs1', 'Brc1nccs1']; ['NC(=S)c1cccc(Cl)c1', 'c1cscn1', 'OB(O)c1cccc(Cl)c1', 'Clc1cccc(Br)c1']; [0.994449377, 0.994449377, 0.994449377, 0.994449377]
-Clc1cccc(-c2ccc3c(c2)CCN3)c1; ['Brc1ccc2c(c1)CCN2', 'Brc1ccc2c(c1)CCN2']; ['OB(O)c1cccc(Cl)c1', 'Clc1cccc(Br)c1']; [0.999091864, 0.999091864]
-O=c1[nH]c2ccc(-c3cccc(Cl)c3)cc2[nH]1; ['O=c1[nH]c2ccc(Cl)cc2[nH]1']; ['OB(O)c1cccc(Cl)c1']; [0.997231305]
-Clc1cccc(Nc2ccncc2)c1; ['Brc1ccncc1']; ['Nc1cccc(Cl)c1']; [0.9933635]
-Fc1cc(Br)ccc1-c1cccc(Cl)c1; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'Fc1cc(Br)ccc1Br', 'Clc1cccc([Mg]Br)c1', 'Clc1cccc(Br)c1']; ['Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1I', 'OB(O)c1cccc(Cl)c1', 'Fc1cc(Br)ccc1Br', 'OB(O)c1ccc(Br)cc1F']; [0.999993443, 0.999993443, 0.999993443, 0.999993443, 0.999993443]
-Cc1csc(-c2cccc(Cl)c2)n1; ['CC(=O)CCl']; ['NC(=S)c1cccc(Cl)c1']; [0.999974728]
-Cc1ccc(-c2cccc(Cl)c2)nc1C; ['Cc1cccnc1C']; ['OB(O)c1cccc(Cl)c1']; [0.9160254]
-Oc1cc(Br)cc(-c2cccc(Cl)c2)c1; ['OB(O)c1cccc(Cl)c1']; ['Oc1cc(Br)cc(Br)c1']; [0.997840285]
-Cn1ncc(N)c1-c1cccc(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(Cl)c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Clc1cccc(Br)c1', 'CNC(=O)c1ccc(Br)cc1', 'OB(O)c1cccc(Cl)c1', 'Clc1cccc(I)c1']; [0.999997, 0.999997, 0.999997, 0.999997]
-Clc1cccc(-c2cnco2)c1; ['Clc1cccc(Br)c1']; ['c1cocn1']; [0.987807214]
-Oc1c(F)cc(-c2cccc(Cl)c2)cc1F; ['OB(O)c1cccc(Cl)c1', 'Clc1cccc(Br)c1']; ['Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cccc1F']; [0.998694599, 0.998694599]
-Cc1ccc(-c2cccc(Cl)c2)c(C)n1; ['Cc1ccc(Br)c(C)n1']; ['Clc1cccc(I)c1']; [0.999504209]
-Clc1cccc(OCc2ccccc2)c1; ['Clc1cccc(Br)c1']; ['OCc1ccccc1']; [0.881616771]
-Cc1nc2ccc(-c3cccc(Cl)c3)cc2o1; ['Cc1nc2ccc(Br)cc2o1']; ['OB(O)c1cccc(Cl)c1']; [0.999981761]
-CSc1cccc(-c2cccc(Cl)c2)c1; ['CSc1cccc([Mg]Br)c1']; ['Clc1cccc(Cl)c1']; [0.826617777]
-O=c1[nH][nH]c2cc(-c3cccc(Cl)c3)ccc12; ['O=c1[nH][nH]c2cc(Br)ccc12']; ['OB(O)c1cccc(Cl)c1']; [0.999975681]
-Fc1ccc(-c2cccc(Cl)c2)c(Cl)c1; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'Clc1cccc(I)c1', 'Fc1ccc(I)c(Cl)c1', 'Clc1cccc(I)c1']; ['Fc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1cccc(Cl)c1', 'Fc1cccc(Cl)c1']; [0.999991179, 0.999991179, 0.999991179, 0.999991179]
-Fc1ccccc1Oc1cccc(Cl)c1; ['OB(O)c1cccc(Cl)c1', 'Fc1ccccc1Cl', 'OB(O)c1ccccc1F', 'Clc1cccc(Cl)c1']; ['Oc1ccccc1F', 'Oc1cccc(Cl)c1', 'Oc1cccc(Cl)c1', 'Oc1ccccc1F']; [0.996249, 0.996249, 0.996249, 0.996249]
-Fc1ccc(Oc2cccc(Cl)c2)c(F)c1; ['Fc1ccc(Cl)c(F)c1', 'Fc1ccc(F)c(F)c1', 'Clc1cccc(Cl)c1', 'Fc1cccc(Cl)c1']; ['Oc1cccc(Cl)c1', 'Oc1cccc(Cl)c1', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.999145031, 0.999145031, 0.999145031, 0.999145031]
-Fc1cccc(Cl)c1CNc1cccc(Cl)c1; ['Nc1cccc(Cl)c1', 'Nc1cccc(Cl)c1']; ['O=Cc1c(F)cccc1Cl', 'OCc1c(F)cccc1Cl']; [0.999321818, 0.999321818]
-CNC(=O)c1ccccc1Nc1nc2cc(F)ccc2s1; ['CNC(=O)c1ccccc1Br']; ['Nc1nc2cc(F)ccc2s1']; [0.99991405]
-Fc1ccc(Cc2cccc(Cl)c2)cc1; ['Fc1ccc(CBr)cc1', 'Clc1cccc(CBr)c1']; ['OB(O)c1cccc(Cl)c1', 'OB(O)c1ccc(F)cc1']; [0.99885428, 0.99885428]
-Fc1ccc2sc(Nc3ccnc4ccccc34)nc2c1; ['Clc1ccnc2ccccc12']; ['Nc1nc2cc(F)ccc2s1']; [0.999997497]
-CCOc1ccccc1Nc1nc2cc(F)ccc2s1; ['CCOc1ccccc1N=C=S']; ['Nc1cc(F)ccc1O']; [0.999641538]
-O[C@H]1C[C@@H](Nc2nc3cc(F)ccc3s2)C1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cccc(C(F)(F)F)c3)nc2c1; ['FC(F)(F)c1cccc(N=C=S)c1', 'FC(F)(F)c1cccc(I)c1']; ['Nc1cc(F)ccc1I', 'Nc1nc2cc(F)ccc2s1']; [0.999999166, 0.999999166]
-Fc1ccc2sc(Nc3cc[nH]n3)nc2c1; ['Brc1cc[nH]n1']; ['Nc1nc2cc(F)ccc2s1']; [0.999988675]
-Fc1ccc2sc(Nc3ccccc3Cl)nc2c1; ['Nc1cc(F)ccc1I']; ['S=C=Nc1ccccc1Cl']; [0.999997377]
-Fc1ccc2sc(Nc3cccnc3)nc2c1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3ccccc3Br)nc2c1; ['Nc1cc(F)ccc1O', 'Brc1ccccc1Br']; ['S=C=Nc1ccccc1Br', 'Nc1nc2cc(F)ccc2s1']; [0.99830997, 0.99830997]
-Fc1ccc2sc(Nc3ccccc3F)nc2c1; ['Fc1ccccc1N=C=S']; ['Nc1cc(F)ccc1I']; [0.999998569]
-Fc1ccc2sc(Nc3ccccc3OC(F)(F)F)nc2c1; [None]; [None]; [0]
-N#Cc1ccccc1Nc1nc2cc(F)ccc2s1; ['N#Cc1ccccc1Br', 'N#Cc1ccccc1Cl']; ['Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.99987483, 0.99987483]
-Fc1ccc2sc(Nc3c(F)cccc3F)nc2c1; ['Fc1cccc(F)c1N=C=S', 'Fc1cccc(F)c1N=C=S']; ['Nc1cc(F)ccc1Br', 'Nc1cc(F)ccc1O']; [0.999999881, 0.999999881]
-Fc1ccc2sc(Nc3cnn(Cc4ccccc4)c3)nc2c1; ['Brc1cnn(Cc2ccccc2)c1']; ['Nc1nc2cc(F)ccc2s1']; [0.999968886]
-Fc1ccc2sc(Nc3ccncn3)nc2c1; ['Clc1ccncn1']; ['Nc1nc2cc(F)ccc2s1']; [0.999987602]
-NC(=O)c1ccccc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3ccc4c(c3)CCC4)nc2c1; ['Nc1cc(F)ccc1I']; ['S=C=Nc1ccc2c(c1)CCC2']; [0.999999642]
-OCCn1cc(Nc2nc3cc(F)ccc3s2)cn1; [None]; [None]; [0]
-Cc1ccc(Nc2nc3cc(F)ccc3s2)c(Br)c1; ['Cc1ccc(N=C=S)c(Br)c1']; ['Nc1cc(F)ccc1O']; [0.99986589]
-Fc1ccc2sc(Nc3cnc4ccccn34)nc2c1; ['Clc1cnc2ccccn12']; ['Nc1nc2cc(F)ccc2s1']; [0.99998641]
-Fc1ccc2sc(Nc3cnc(-c4ccccc4)[nH]3)nc2c1; [None]; [None]; [0]
-Cc1nc(C)c(Nc2nc3cc(F)ccc3s2)s1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2nc3cc(F)ccc3s2)c1)c1ccccc1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3c(Cl)cccc3Cl)nc2c1; ['Nc1cc(F)ccc1I', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br']; ['S=C=Nc1c(Cl)cccc1Cl', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.99999845, 0.99999845, 0.99999845]
-Fc1ccc2sc(Nc3cnc4cccnn34)nc2c1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cnco3)nc2c1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cccc(Cl)c3Cl)nc2c1; ['Nc1cc(F)ccc1O']; ['S=C=Nc1cccc(Cl)c1Cl']; [0.999981642]
-Cc1nc(N)sc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-Cc1ncc(Nc2nc3cc(F)ccc3s2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['Nc1nc2cc(F)ccc2s1']; [0.999763668]
-COc1cccc(Nc2nc3cc(F)ccc3s2)c1; ['COc1cccc(N=C=S)c1']; ['Nc1cc(F)ccc1I']; [0.999998927]
-Fc1ccc2sc(Nc3ccc4ccccc4c3)nc2c1; ['Brc1ccc2ccccc2c1']; ['Nc1nc2cc(F)ccc2s1']; [0.999402165]
-Fc1ccc2sc(Nc3cncc4ccccc34)nc2c1; ['Brc1cncc2ccccc12']; ['Nc1nc2cc(F)ccc2s1']; [0.999988675]
-Cc1ccc(Cl)c(Nc2nc3cc(F)ccc3s2)c1; [None]; [None]; [0]
-Oc1cccc(Nc2nc3cc(F)ccc3s2)c1; [None]; [None]; [0]
-Nc1nccc(Nc2nc3cc(F)ccc3s2)n1; [None]; [None]; [0]
-Cn1cncc1Nc1nc2cc(F)ccc2s1; ['Cn1cncc1Cl']; ['Nc1nc2cc(F)ccc2s1']; [0.99158293]
-Fc1ccc2sc(Nc3ccc(Cl)s3)nc2c1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cccs3)nc2c1; [None]; [None]; [0]
-Cn1cc(Nc2nc3cc(F)ccc3s2)cn1; [None]; [None]; [0]
-N#CCCc1cccc(Nc2nc3cc(F)ccc3s2)c1; [None]; [None]; [0]
-OCc1cccc(Nc2nc3cc(F)ccc3s2)c1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3ccco3)nc2c1; [None]; [None]; [0]
-CC[C@H](CO)Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(Nc2nc3cc(F)ccc3s2)cc1; [None]; [None]; [0]
-COc1ccc(Nc2nc3cc(F)ccc3s2)cc1Cl; ['COc1ccc(Br)cc1Cl']; ['Nc1nc2cc(F)ccc2s1']; [0.999700904]
-CC(=O)Nc1cccc(Nc2nc3cc(F)ccc3s2)c1; [None]; [None]; [0]
-OC[C@H](O)CCNc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-Fc1ccc(Nc2nc3cc(F)ccc3s2)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1']; ['Nc1nc2cc(F)ccc2s1']; [0.999703705]
-Fc1ccc2sc(Nc3cnoc3)nc2c1; [None]; [None]; [0]
-CCCn1cc(Nc2nc3cc(F)ccc3s2)cn1; [None]; [None]; [0]
-Cc1cc(Nc2nc3cc(F)ccc3s2)no1; [None]; [None]; [0]
-O=C1CCc2cccc(Nc3nc4cc(F)ccc4s3)c21; ['Nc1nc2cc(F)ccc2s1']; ['O=C1CCc2cccc(Br)c21']; [0.999745429]
-C[S@](=O)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; [None]; [None]; [0]
-CC(C)(N)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3c[nH]c4cnccc34)nc2c1; ['Brc1c[nH]c2cnccc12']; ['Nc1nc2cc(F)ccc2s1']; [0.999791682]
-O=c1[nH]ccc2oc(Nc3nc4cc(F)ccc4s3)cc12; [None]; [None]; [0]
-Fc1ccc2sc(Nc3c[nH]c4ccccc34)nc2c1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](Nc2nc3cc(F)ccc3s2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](Nc2nc3cc(F)ccc3s2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](Nc2nc3cc(F)ccc3s2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc2cc(F)ccc2s1']; [0.999399543]
-N#C[C@H]1CCOC[C@@H]1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc2cc(F)ccc2s1']; [0.999961]
-Oc1ncccc1Nc1nc2cc(F)ccc2s1; ['Nc1nc2cc(F)ccc2s1']; ['Oc1ncccc1Br']; [0.999728501]
-CS(=O)(=O)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; ['CS(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc2cc(F)ccc2s1']; [0.9998914]
-O=C(c1ccccc1)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-COc1ccc(Nc2nc3cc(F)ccc3s2)c(OC)c1; ['COc1ccc(N=C=S)c(OC)c1', 'COc1ccc(N=C=S)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['Nc1cc(F)ccc1I', 'Nc1cc(F)ccc1O', 'Nc1nc2cc(F)ccc2s1']; [0.999999762, 0.999999762, 0.999999762]
-Oc1ccc2nc(Nc3nc4cc(F)ccc4s3)[nH]c2c1; [None]; [None]; [0]
-Cc1cncc(Nc2nc3cc(F)ccc3s2)n1; ['Cc1cncc(Br)n1']; ['Nc1nc2cc(F)ccc2s1']; [0.999999881]
-Nc1nnc(Nc2nc3cc(F)ccc3s2)s1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cccc4ccsc34)nc2c1; ['Brc1cccc2ccsc12']; ['Nc1nc2cc(F)ccc2s1']; [0.999998]
-Fc1ccc2sc(Nc3nc4ccccc4s3)nc2c1; ['Clc1nc2ccccc2s1']; ['Nc1nc2cc(F)ccc2s1']; [0.993327737]
-Nc1ncc(Nc2nc3cc(F)ccc3s2)s1; [None]; [None]; [0]
-COc1ccc(C#N)cc1Nc1nc2cc(F)ccc2s1; ['COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1F']; ['Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.999999523, 0.999999523]
-COc1cccc(F)c1Nc1nc2cc(F)ccc2s1; ['COc1cccc(F)c1Br']; ['Nc1nc2cc(F)ccc2s1']; [0.999974489]
-Cc1cc(C)cc(Nc2nc3cc(F)ccc3s2)c1; ['Cc1cc(C)cc(I)c1']; ['Nc1nc2cc(F)ccc2s1']; [0.998987257]
-C[C@@]1(O)CC[C@H](Nc2nc3cc(F)ccc3s2)CC1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3c[nH]c4cccnc34)nc2c1; [None]; [None]; [0]
-COc1ccc(OC)c(Nc2nc3cc(F)ccc3s2)c1; ['COc1ccc(OC)c(N=C=S)c1']; ['Nc1cc(F)ccc1I']; [0.999999523]
-Fc1ccc2sc(NN3CCC(c4nc5ccccc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccncc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(O)cc3)cc12; [None]; [None]; [0]
-Cn1cc(-c2ccc3ncnc(N)c3c2)cn1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cn[nH]c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc4ncccc34)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(Cl)c(O)c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3c(F)cccc3F)cc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3n[nH]c4ccccc34)cc12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(O)cc3Cl)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
-Nc1nccc(-c2ccc3ncnc(N)c3c2)n1; [None]; [None]; [0]
-Nc1ncnc2ccc([C@@H]3C[C@H](O)C3)cc12; [None]; [None]; [0]
-Cc1ncc(-c2ccc3ncnc(N)c3c2)[nH]1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc[nH]c3)cc12; [None]; [None]; [0]
-COc1cc(-c2ccc3ncnc(N)c3c2)ccc1O; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccccc3Cl)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(C[C@@H](O)CO)cc12; [None]; [None]; [0]
-N#Cc1cnc(-c2ccc3ncnc(N)c3c2)cn1; [None]; [None]; [0]
-C[C@@H](O)Cc1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cnccn3)cc12; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc3ncnc(N)c3c2)o1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3ncnc(N)c3c2)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc(Br)c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(O)cc3O)cc12; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccoc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(F)c(Cl)c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(COc3ccccc3Cl)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccs3)cc12; [None]; [None]; [0]
-Cc1ccc(-c2ccc3ncnc(N)c3c2)cc1C; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc(O)ccc3Cl)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccncn3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cnc(O)c(Cl)c3)cc12; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4ncnc(N)c4c3)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3nc4ccccc4s3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cncc(O)c3)cc12; [None]; [None]; [0]
-COc1ccc(-c2ccc3ncnc(N)c3c2)cc1OC; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ccc3ncnc(N)c3c2)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc4c(c3)CC(=O)N4)cc12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-CCc1sccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc4c(c3)CCN4)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3nccs3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc(Cl)c(O)c(Cl)c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(Br)cc3F)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)cc12; [None]; [None]; [0]
-Nc1cc(-c2ccc3ncnc(N)c3c2)[nH]n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3ncnc(N)c3c2)nc1C; [None]; [None]; [0]
-Cc1csc(-c2ccc3ncnc(N)c3c2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc(O)cc(Br)c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cnco3)cc12; [None]; [None]; [0]
-Cc1ccc(-c2ccc3ncnc(N)c3c2)c(C)n1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc(F)c(O)c(F)c3)cc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4ncnc(N)c4c3)cc2o1; [None]; [None]; [0]
-CCOc1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(F)cc3Cl)cc12; [None]; [None]; [0]
-CSc1cccc(-c2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-COc1ncccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Cn1nncc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-COc1cc(-c2ccc3ncnc(N)c3c2)cc(OC)c1OC; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-COc1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc(O)c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3nc4ccccc4[nH]3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(Nc3ncccn3)cc12; [None]; [None]; [0]
-Cc1cc(Nc2ccc3ncnc(N)c3c2)sn1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc(F)c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(C(=O)Nc4ccccc4)cc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(Cc3nccc4ccccc34)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(NC(=O)C3CC3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(OCCO)cc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(Cl)cc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc(C4CCNCC4)c3)cc12; [None]; [None]; [0]
-Cc1cc(-c2ccc3ncnc(N)c3c2)nn1C; [None]; [None]; [0]
-Nc1ncnc2ccc(Nc3ccncn3)cc12; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(C(F)(F)F)cc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(Cc3ccccc3O)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(Cc3ccncc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(Cc3cccnc3)cc12; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3ncnc(N)c3c2)s1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cnc(Cl)nc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(C[C@H](O)CO)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cncnc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-n3ccnc3)cc12; [None]; [None]; [0]
-COc1ccc(Cc2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(Br)cc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc[nH]3)cc12; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(Cn3ccnc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc4c(c3)CCO4)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc4ccccc4cn3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc4c3OCO4)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3scc4c3OCCO4)cc12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cnc4ccccc4c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(F)c(F)c3)cc12; [None]; [None]; [0]
-CC1(COc2ccc3ncnc(N)c3c2)COC1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccco3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc([C@@H]3CC[C@@H](O)CC3)cc12; [None]; [None]; [0]
-COCCOc1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc([C@H](CO)Cc3ccccc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ncc(Br)cn3)cc12; [None]; [None]; [0]
-Cc1cc(-c2ccc3ncnc(N)c3c2)nc(N)n1; [None]; [None]; [0]
-CCc1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(Cl)cc3Cl)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc([C@H]3CC[C@@H](O)C3)cc12; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccsc3)cc12; [None]; [None]; [0]
-COc1ccc(CNc2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ncnc(N)c3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(F)c(-c2ccc3ncnc(N)c3c2)cc1OC; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccc4ncnc(N)c4c3)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc4ccc(O)cc34)cc12; [None]; [None]; [0]
-Cc1cc(Nc2ccc3ncnc(N)c3c2)nn1C; [None]; [None]; [0]
-COc1cc(-c2ccc3ncnc(N)c3c2)ccc1Cl; [None]; [None]; [0]
-Cc1nc(Nc2ccc3ncnc(N)c3c2)sc1C; [None]; [None]; [0]
-Cc1ccc(-c2ccc3ncnc(N)c3c2)o1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc4cn[nH]c4c3)cc12; [None]; [None]; [0]
-COc1cc(-c2ccc3ncnc(N)c3c2)c(OC)cc1Br; [None]; [None]; [0]
-CC(C)Oc1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc4ccccc4o3)cc12; [None]; [None]; [0]
-CCn1cc(-c2ccc3ncnc(N)c3c2)cn1; [None]; [None]; [0]
-COC(=O)Nc1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cscn3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(OC(F)(F)F)cc3)cc12; [None]; [None]; [0]
-CCc1cccc(-c2ccc3ncnc(N)c3c2)n1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(CCO)cc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc(N4CCCC4=O)c3)cc12; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(Nc3ccccn3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(Nc3ccc(F)cn3)cc12; [None]; [None]; [0]
-CCOc1ccccc1-c1ccnn1C; ['CCOc1ccccc1Cl']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1']; [0.999846816]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccnn1C; [None]; [None]; [0]
-Cn1nccc1-c1ccnc2ccccc12; [None]; [None]; [0]
-Cn1nccc1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-Cn1nccc1-c1cccnc1; ['CC1(C)OB(c2cccnc2)OC1(C)C']; ['Cn1nccc1Br']; [0.999951482]
-Cn1nccc1Cc1cc(F)cc(F)c1; ['Cn1nccc1Br']; ['Fc1cc(F)cc(C[Zn]Br)c1']; [0.99279505]
-Cn1nccc1-c1cccc(C(F)(F)F)c1; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1']; ['FC(F)(F)c1cccc(Br)c1']; [0.999936223]
-Cn1nccc1-c1ccccc1Br; ['Brc1ccccc1I', 'Brc1ccccc1Br']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1cccn1']; [0.999975681, 0.999975681]
-Cn1nccc1-c1cc[nH]n1; [None]; [None]; [0]
-Cn1nccc1-c1ccccc1Cl; ['Clc1ccccc1I', 'Clc1ccccc1Br']; ['Cn1nccc1B(O)O', 'Cn1cccn1']; [0.999896407, 0.999896407]
-Cn1nccc1-c1ccccc1F; ['Cn1cccn1']; ['Fc1ccccc1Br']; [0.983296633]
-Cn1nccc1-c1ccccc1OC(F)(F)F; ['Cn1cccn1']; ['FC(F)(F)Oc1ccccc1I']; [0.991886437]
-Cn1nccc1-c1ccccc1C#N; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1']; ['N#Cc1ccccc1Br']; [0.999970198]
-Cn1nccc1-c1c(F)cccc1F; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1cccn1']; ['Fc1cccc(F)c1I', 'Fc1cccc(F)c1Br']; [0.99991715, 0.99991715]
-Cn1nccc1-c1ccccc1C(N)=O; [None]; [None]; [0]
-Cn1nccc1-c1cnn(Cc2ccccc2)c1; ['Brc1cnn(Cc2ccccc2)c1']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1']; [0.999980807]
-Cn1nccc1-c1ccncn1; ['Clc1ccncn1']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1']; [0.999401331]
-Cn1nccc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-Cn1nccc1[C@@H](N)c1ccco1; [None]; [None]; [0]
-Cn1nccc1-c1ccc2c(c1)CCC2; ['Cn1nccc1B(O)O']; ['Ic1ccc2c(c1)CCC2']; [0.999735653]
-Cn1nccc1-c1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
-Cn1nccc1-c1cnn(CCO)c1; [None]; [None]; [0]
-Cn1nccc1-c1cnc2ccccn12; ['Clc1cnc2ccccn12']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1']; [0.999905467]
-Cc1ccc(-c2ccnn2C)c(Br)c1; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1cccn1', 'Cn1cccn1']; [0.99996078, 0.99996078, 0.99996078]
-Cn1nccc1-c1cnco1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccnn2C)s1; [None]; [None]; [0]
-Cn1nccc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
-Cn1nccc1-c1cnc2cccnn12; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ccnn1C; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccnn2C)c1; [None]; [None]; [0]
-Cn1nccc1NC(C)(C)C; ['CC(C)(C)N']; ['Cn1nccc1Br']; [0.999808]
-Cn1nccc1-c1cccc(Cl)c1Cl; ['Clc1cccc(I)c1Cl', 'Clc1cccc(Br)c1Cl']; ['Cn1nccc1B(O)O', 'Cn1cccn1']; [0.999610722, 0.999610722]
-Cc1ncc(-c2ccnn2C)[nH]1; [None]; [None]; [0]
-Cn1nccc1OC1CCCCC1; [None]; [None]; [0]
-Cn1nccc1-c1ccc2ccccc2c1; ['Brc1ccc2ccccc2c1', 'Cn1nccc1B(O)O', 'Cn1cccn1']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Ic1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1']; [0.999942541, 0.999942541, 0.999942541]
-Cn1nccc1NCc1cccnc1; ['Cn1nccc1Br', 'Cn1nccc1N']; ['NCc1cccnc1', 'O=Cc1cccnc1']; [0.999385357, 0.999385357]
-COc1cccc(-c2ccnn2C)c1; ['COc1cccc(B(O)O)c1', 'COc1cccc(Br)c1', 'COc1cccc(I)c1', 'COc1cccc(Cl)c1', 'COc1cccc(I)c1']; ['Cn1nccc1Br', 'Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1cccn1']; [0.999947667, 0.999947667, 0.999947667, 0.999947667, 0.999947667]
-Cn1nccc1-c1ccnc(N)n1; [None]; [None]; [0]
-Cn1nccc1-c1ccc(Cl)s1; [None]; [None]; [0]
-C[C@H](CO)Nc1ccnn1C; [None]; [None]; [0]
-Cn1nccc1Nc1cccnc1; ['Cn1nccc1N']; ['OB(O)c1cccnc1']; [0.998936117]
-Cn1nccc1-n1cnc2ccccc21; ['Cn1nccc1Br']; ['c1ccc2[nH]cnc2c1']; [0.999228954]
-Cn1nccc1NC(=O)c1cccs1; ['Cn1nccc1N']; ['O=C(Cl)c1cccs1']; [0.996778071]
-CC(C)COc1ccnn1C; ['CC(C)CBr']; ['Cn1nccc1O']; [0.865263641]
-Cn1nccc1-c1cccc(O)c1; ['Cn1nccc1Br']; ['OB(O)c1cccc(O)c1']; [0.999880314]
-C[C@@H](O)[C@@H](C)Oc1ccnn1C; [None]; [None]; [0]
-Cn1nccc1-c1cncc2ccccc12; ['Brc1cncc2ccccc12']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1']; [0.999996305]
-Cn1nccc1Nc1ccncc1; ['Cn1nccc1Br', 'Brc1ccncc1']; ['Nc1ccncc1', 'Cn1nccc1N']; [0.998170257, 0.998170257]
-Cn1nccc1-c1cccc(CO)c1; [None]; [None]; [0]
-Cn1cncc1-c1ccnn1C; [None]; [None]; [0]
-Cn1cc(-c2ccnn2C)cn1; ['Cn1cc(B(O)O)cn1']; ['Cn1nccc1Br']; [0.999906898]
-Cn1nccc1-c1cccs1; ['CI']; ['c1csc(-c2ccn[nH]2)c1']; [0.955530584]
-Cn1nccc1-c1ccco1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccnn2C)cc1; [None]; [None]; [0]
-CC(C)Nc1ccnn1C; ['CC(C)N']; ['Cn1nccc1Br']; [0.999466]
-Cn1nccc1-c1ccc(F)cc1C(F)(F)F; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1cccn1']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1']; [0.999965429, 0.999965429]
-COc1ccc(-c2ccnn2C)cc1Cl; ['COc1ccc(Br)cc1Cl', 'COc1ccc(Cl)cc1Cl']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1nccc1B1OC(C)(C)C(C)(C)O1']; [0.999917865, 0.999917865]
-Cn1nccc1-c1cccc(CCC#N)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccnn1C; ['CCC(=O)Cl', 'CCC(=O)O']; ['Cn1nccc1N', 'Cn1nccc1N']; [0.999212503, 0.999212503]
-Cn1nccc1-c1cnoc1; ['Cn1cccn1']; ['Ic1cnoc1']; [0.961246729]
-CC(=O)Nc1cccc(-c2ccnn2C)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)OC(C)=O']; ['Cn1nccc1I', 'Cn1nccc1-c1cccc([N+](=O)[O-])c1']; [0.99988234, 0.99988234]
-CCCn1cc(-c2ccnn2C)cn1; [None]; [None]; [0]
-CCOC(=O)Cc1ccnn1C; ['CCOC(=O)C=[N+]=[N-]']; ['Cn1cccn1']; [0.920239687]
-Cc1cc(-c2ccnn2C)no1; [None]; [None]; [0]
-Cn1nccc1-c1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
-Cn1nccc1-c1cccc2c1C(=O)CC2; [None]; [None]; [0]
-Cn1nccc1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
-CCN(CC)c1ccnn1C; ['CCNCC']; ['Cn1nccc1Br']; [0.855276048]
-COc1ccncc1Nc1ccnn1C; ['COc1ccncc1Br']; ['Cn1nccc1N']; [0.998927534]
-Cn1nccc1Nc1cnc2ccccc2c1; ['Brc1cnc2ccccc2c1']; ['Cn1nccc1N']; [0.990807116]
-Cn1nccc1-c1ccc([S@](C)=O)cc1; [None]; [None]; [0]
-Cn1nccc1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-Cn1nccc1[C@@H]1CCCN(C(=O)CC#N)C1; [None]; [None]; [0]
-Cn1nccc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-Cn1nccc1-c1c[nH]c2cnccc12; ['Brc1c[nH]c2cnccc12']; ['Cn1cccn1']; [0.903273284]
-Cn1nccc1[C@@H]1CC[C@@H](CC#N)CC1; [None]; [None]; [0]
-Cn1nccc1[C@H]1COCC[C@@H]1C#N; [None]; [None]; [0]
-Cn1nccc1-c1ccc(S(C)(=O)=O)cc1; ['CS(=O)(=O)c1ccc(Br)cc1']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1']; [0.999959]
-CNS(=O)(=O)c1ccc(-c2ccnn2C)cc1; [None]; [None]; [0]
-Cn1nccc1[C@@H]1CC[C@@H](C#N)CC1; [None]; [None]; [0]
-Cn1nccc1-c1ccc(S(=O)(=O)NC(C)(C)C)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cn1nccc1Br']; [0.999994159]
-Cn1nccc1-n1ncc2ccccc21; [None]; [None]; [0]
-Cn1nccc1-c1cccc(F)c1C(N)=O; [None]; [None]; [0]
-Cn1nccc1-n1ncc2c(O)cccc21; [None]; [None]; [0]
-Cn1nccc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-Cn1nccc1-c1ccc(C(=O)c2ccccc2)cc1; ['Cn1cccn1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999909639]
-Cn1nccc1-c1cccnc1O; [None]; [None]; [0]
-Cn1nccc1Cc1ccncc1; [None]; [None]; [0]
-COc1ccc(-c2ccnn2C)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(I)c(OC)c1']; ['Cn1nccc1B(O)O', 'Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1cccn1']; [0.999977231, 0.999977231, 0.999977231]
-Cn1nccc1OC1CCOCC1; [None]; [None]; [0]
-Cn1nccc1-c1cnc(N)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccnn1C; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1nccc1Br', 'Cn1cccn1']; [0.999998093, 0.999998093, 0.999998093]
-Cn1nccc1-n1ccnc1; [None]; [None]; [0]
-Cn1nccc1-c1nnc(N)s1; [None]; [None]; [0]
-Cn1nccc1-c1nc2ccccc2s1; ['Cn1nccc1C=O']; ['Nc1ccccc1S']; [0.999987]
-Cc1cncc(-c2ccnn2C)n1; [None]; [None]; [0]
-Cn1nccc1-c1cccc2ccsc12; ['Brc1cccc2ccsc12']; ['Cn1cccn1']; [0.920349777]
-Cn1nccc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccnn1C; ['COc1ccc(C#N)cc1Br']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1']; [0.999951482]
-Cn1nccc1NCC(C)(C)C; ['CC(C)(C)CN']; ['Cn1nccc1Br']; [0.999562204]
-Cn1nccc1OC(C)(C)C; [None]; [None]; [0]
-Cn1nccc1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccnn2C)c1; ['Cc1cc(C)cc(I)c1', 'Cc1cc(C)cc(Cl)c1', 'Cc1cc(C)cc(I)c1']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1cccn1']; [0.999988794, 0.999988794, 0.999988794]
-COc1ccc(OC)c(-c2ccnn2C)c1; ['COc1ccc(OC)c(Cl)c1']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1']; [0.999839306]
-Cn1nccc1Cc1cccnc1; [None]; [None]; [0]
-N#Cc1ccc(Nc2ncc(Cl)cn2)cc1; ['CS(=O)c1ncc(Cl)cn1', 'N#Cc1ccc(F)cc1']; ['N#Cc1ccc(N)cc1', 'Nc1ncc(Cl)cn1']; [0.998082876, 0.998082876]
-Cn1nccc1[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
-Cn1nccc1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-Cc1n[nH]cc1Nc1ncc(Cl)cn1; ['Cc1n[nH]cc1N']; ['Clc1cnc(Cl)nc1']; [0.99946624]
-COc1ncccc1Nc1ncc(Cl)cn1; ['COc1ncccc1Br']; ['Nc1ncc(Cl)cn1']; [0.997942269]
-Cn1nccc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-Cn1nncc1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-COc1cc(Nc2ncc(Cl)cn2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['CSc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1']; [0.99829787, 0.99829787]
-Cc1nn(C)cc1Nc1ncc(Cl)cn1; ['Cc1nn(C)cc1N']; ['Clc1cnc(Cl)nc1']; [0.994794428]
-CCOc1ccc(Nc2ncc(Cl)cn2)cc1; ['CCOc1ccc(N)cc1']; ['Clc1cnc(Cl)nc1']; [0.998050451]
-CS(=O)(=O)c1cccc(Nc2ncc(Cl)cn2)c1; ['CS(=O)(=O)c1cccc(Br)c1']; ['Nc1ncc(Cl)cn1']; [0.996683061]
-COc1ccc(Nc2ncc(Cl)cn2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(N)cc1']; ['CSc1ncc(Cl)cn1', 'CS(=O)c1ncc(Cl)cn1']; [0.995116472, 0.995116472]
-Cn1cc(Nc2ncc(Cl)cn2)cn1; [None]; [None]; [0]
-Oc1cccc(Nc2ncc(Cl)cn2)c1; ['Clc1cnc(Cl)nc1', 'Nc1ncc(Cl)cn1', 'CSc1ncc(Cl)cn1']; ['Nc1cccc(O)c1', 'Oc1cccc(Br)c1', 'Nc1cccc(O)c1']; [0.995840192, 0.995840192, 0.995840192]
-Clc1cnc(Nc2cnc3cccnn23)nc1; [None]; [None]; [0]
-Clc1cnc(Nc2nc3ccccc3[nH]2)nc1; ['Clc1cnc(Cl)nc1', 'Clc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1ncc(Cl)cn1']; [0.998290718, 0.998290718]
-O=C(Nc1ccccc1)c1ccc(Nc2ncc(Cl)cn2)cc1; ['Clc1cnc(Cl)nc1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.998038113]
-NC(=O)c1ccc(Nc2ncc(Cl)cn2)cc1; ['NC(=O)c1ccc(Br)cc1']; ['Nc1ncc(Cl)cn1']; [0.975525]
-Clc1cnc(NNc2ncccn2)nc1; [None]; [None]; [0]
-Clc1cnc(NCc2nccc3ccccc23)nc1; ['CSc1ncc(Cl)cn1']; ['NCc1nccc2ccccc12']; [0.966057301]
-Fc1cccc(Nc2ncc(Cl)cn2)c1; ['CS(=O)c1ncc(Cl)cn1', 'Fc1cccc(Br)c1']; ['Nc1cccc(F)c1', 'Nc1ncc(Cl)cn1']; [0.998540759, 0.998540759]
-OCCCNc1ncc(Cl)cn1; ['CS(=O)c1ncc(Cl)cn1']; ['NCCCO']; [0.888112247]
-Clc1ccc(Nc2ncc(Cl)cn2)cc1; ['Clc1ccc(Br)cc1']; ['Nc1ncc(Cl)cn1']; [0.981486]
-OCCOc1ccc(Nc2ncc(Cl)cn2)cc1; ['Nc1ncc(Cl)cn1']; ['OCCOc1ccc(Br)cc1']; [0.988729239]
-Cc1cc(Nc2ncc(Cl)cn2)nn1C; ['Cc1cc(N)nn1C']; ['Clc1cnc(Cl)nc1']; [0.999080896]
-Clc1cnc(Nc2cccc(C3CCNCC3)c2)nc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(Nc2ncc(Cl)cn2)cc1; ['Clc1cnc(Cl)nc1', 'CS(=O)c1ncc(Cl)cn1']; ['Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1']; [0.99845314, 0.99845314]
-C[C@H](O)COc1ccc(Nc2ncc(Cl)cn2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2ncc(Cl)cn2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['Clc1cnc(Cl)nc1']; [0.99872452]
-CN(C)c1ccc(Nc2ncc(Cl)cn2)cc1; ['CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(Br)cc1']; ['Clc1cnc(Br)nc1', 'CSc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1']; [0.999272048, 0.999272048, 0.999272048]
-Clc1cnc(Nc2cncnc2)nc1; ['Clc1cnc(Cl)nc1']; ['Nc1cncnc1']; [0.968729198]
-Clc1cnc(Nc2cnc(Cl)nc2)nc1; ['CS(=O)c1ncc(Cl)cn1']; ['Nc1cnc(Cl)nc1']; [0.995052159]
-Clc1cnc(Nc2cn[nH]c2)nc1; ['Clc1cnc(Cl)nc1']; ['Nc1cn[nH]c1']; [0.997967303]
-COc1ccc(Cl)cc1Nc1ncc(Cl)cn1; ['COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Br']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1']; [0.99881649, 0.99881649]
-Cc1nc(C)c(Nc2ncc(Cl)cn2)s1; [None]; [None]; [0]
-Clc1cnc(Nc2ccc(Br)cc2)nc1; ['CSc1ncc(Cl)cn1']; ['Nc1ccc(Br)cc1']; [0.985380232]
-Clc1cnc(Nc2ccc3c(c2)CCO3)nc1; ['Clc1cnc(Br)nc1', 'Ic1ccc2c(c1)CCO2']; ['Nc1ccc2c(c1)CCO2', 'Nc1ncc(Cl)cn1']; [0.999486446, 0.999486446]
-Clc1cnc(Nc2ccc[nH]2)nc1; [None]; [None]; [0]
-COc1cc(Nc2ncc(Cl)cn2)ccc1O; ['COc1cc(N)ccc1O']; ['Clc1cnc(Cl)nc1']; [0.993266344]
-CC(=O)Nc1cccc(Nc2ncc(Cl)cn2)c1; ['CC(=O)Nc1cccc(Br)c1']; ['Nc1ncc(Cl)cn1']; [0.966359913]
-Clc1cnc(Nc2c[nH]c3ccccc23)nc1; [None]; [None]; [0]
-Clc1cnc(Nc2cc3ccccc3cn2)nc1; ['Clc1cc2ccccc2cn1']; ['Nc1ncc(Cl)cn1']; [0.978932202]
-Fc1ccc(Nc2ncc(Cl)cn2)cc1F; ['Fc1ccc(Br)cc1F']; ['Nc1ncc(Cl)cn1']; [0.993430793]
-Clc1cnc(Nc2scc3c2OCCO3)nc1; [None]; [None]; [0]
-Clc1cnc(Nc2cnc3ccccc3c2)nc1; [None]; [None]; [0]
-Clc1cnc(Nc2cccc3c2OCO3)nc1; [None]; [None]; [0]
-CSc1cccc(Nc2ncc(Cl)cn2)c1; ['CSc1cccc(N)c1']; ['Clc1cnc(Cl)nc1']; [0.996886909]
-CC(C)(C)c1ccc(Nc2ncc(Cl)cn2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1']; ['Clc1cnc(Br)nc1', 'CS(=O)c1ncc(Cl)cn1']; [0.999802172, 0.999802172]
-Clc1cnc(Nc2ccco2)nc1; [None]; [None]; [0]
-Cc1cc(Nc2ncc(Cl)cn2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Nc1ncc(Cl)cn1']; [0.998767912]
-Fc1ccc(Nc2ncc(Cl)cn2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1']; ['Nc1ncc(Cl)cn1']; [0.999881625]
-CC[C@@H](CO)Nc1ncc(Cl)cn1; ['CC[C@H](N)CO']; ['Clc1cnc(I)nc1']; [0.986414254]
-O[C@@H]1CC[C@@H](Nc2ncc(Cl)cn2)CC1; ['Clc1cnc(Cl)nc1', 'CS(=O)c1ncc(Cl)cn1']; ['N[C@H]1CC[C@H](O)CC1', 'N[C@H]1CC[C@H](O)CC1']; [0.99907577, 0.99907577]
-COc1ccc(Nc2ncc(Cl)cn2)cc1OC; ['COc1ccc(Br)cc1OC']; ['Nc1ncc(Cl)cn1']; [0.998666048]
-Clc1cnc(Nc2ncc(Br)cn2)nc1; ['Brc1cnc(Br)nc1', 'Clc1cnc(Br)nc1']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Br)cn1']; [0.942379296, 0.942379296]
-Clc1cnc(Nc2ccc(Cl)cc2Cl)nc1; ['Clc1ccc(Br)c(Cl)c1']; ['Nc1ncc(Cl)cn1']; [0.99986136]
-Clc1cnc(Nc2ccsc2)nc1; ['CS(=O)c1ncc(Cl)cn1']; ['Nc1ccsc1']; [0.999228]
-Cc1cc(C)cc(Nc2ncc(Cl)cn2)c1; ['Cc1cc(C)cc(I)c1']; ['Nc1ncc(Cl)cn1']; [0.996894717]
-O[C@@H]1CC[C@H](Nc2ncc(Cl)cn2)C1; [None]; [None]; [0]
-CCc1ccc(Nc2ncc(Cl)cn2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(N)cc1']; ['Clc1cnc(Cl)nc1', 'CSc1ncc(Cl)cn1']; [0.998815417, 0.998815417]
-Cn1cc(Nc2ncc(Cl)cn2)c(C(F)(F)F)n1; ['Cn1cc(Br)c(C(F)(F)F)n1']; ['Nc1ncc(Cl)cn1']; [0.99952209]
-COc1ccc2cccc(Nc3ncc(Cl)cn3)c2c1; [None]; [None]; [0]
-Oc1ccc2cccc(Nc3ncc(Cl)cn3)c2c1; ['Clc1cnc(Cl)nc1']; ['Nc1cccc2ccc(O)cc12']; [0.993440092]
-COc1cc(F)c(Nc2ncc(Cl)cn2)cc1OC; [None]; [None]; [0]
-COc1cc(Nc2ncc(Cl)cn2)ccc1Cl; ['COc1cc(Br)ccc1Cl']; ['Nc1ncc(Cl)cn1']; [0.999899507]
-COc1cc(Nc2ncc(Cl)cn2)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['Nc1ncc(Cl)cn1']; [0.857643366]
-Cc1ccc(Nc2ncc(Cl)cn2)o1; [None]; [None]; [0]
-COc1cc(Nc2ncc(Cl)cn2)cc(OC)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ncc(Cl)cn2)cc1; ['CNC(=O)c1ccc(Br)cc1']; ['Nc1ncc(Cl)cn1']; [0.969620287]
-Clc1cnc(Nc2ccc3cn[nH]c3c2)nc1; ['Clc1cnc(Cl)nc1', 'Brc1ccc2cn[nH]c2c1']; ['Nc1ccc2cn[nH]c2c1', 'Nc1ncc(Cl)cn1']; [0.999496222, 0.999496222]
-CCc1cccc(Nc2ncc(Cl)cn2)n1; ['CCc1cccc(N)n1']; ['Clc1cnc(Cl)nc1']; [0.991517961]
-Clc1cnc(Nc2cc3ccccc3o2)nc1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(Nc2ncc(Cl)cn2)cc1; ['FC(F)(F)Oc1ccc(I)cc1']; ['Nc1ncc(Cl)cn1']; [0.99955076]
-Cc1ccc(Nc2ncc(Cl)cn2)nc1C; ['Cc1ccc(N)nc1C']; ['Clc1cnc(Cl)nc1']; [0.996991515]
-OCCc1ccc(Nc2ncc(Cl)cn2)cc1; ['Clc1cnc(Cl)nc1']; ['Nc1ccc(CCO)cc1']; [0.998360455]
-Clc1cnc(Nc2cscn2)nc1; ['Brc1cscn1']; ['Nc1ncc(Cl)cn1']; [0.996597469]
-O=C1CCCN1c1cccc(Nc2ncc(Cl)cn2)c1; ['Clc1cnc(Br)nc1', 'CSc1ncc(Cl)cn1']; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1']; [0.999614954, 0.999614954]
-COc1cc(N2CCNCC2)ccc1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(Nc2ncc(Cl)cn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ncc(Cl)cn1']; [0.999566853]
-N#Cc1ccc(-c2cc(N)ncc2Cl)cc1; ['CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C']; ['Nc1cc(Cl)c(Cl)cn1']; [0.999986291]
-CCOc1ccc(-c2cc(N)ncc2Cl)cc1; ['CCOc1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999988556]
-Cc1n[nH]cc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-COc1ncccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc(N)ncc2Cl)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)ncc2Cl)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1cc(Br)c(Cl)cn1']; [0.999998093]
-Cn1cc(-c2cc(N)ncc2Cl)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999996424]
-Cn1nncc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2cnc3cccnn23)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['c1cnn2ccnc2c1']; [0.999998]
-Nc1cc(-c2cccc(O)c2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2nc3ccccc3[nH]2)c(Cl)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['NC(=O)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999932408]
-Cc1nn(C)cc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(Cc2nccc3ccccc23)c(Cl)cn1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)ncc2Cl)cc1; ['COc1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999967813]
-Nc1cc(-c2ccc(Cl)cc2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1ccc(Cl)cc1']; [0.999981046]
-Nc1cc(Nc2ncccn2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(CCCO)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cccc(F)c2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cccc(C3CCNCC3)c2)c(Cl)cn1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)ncc2Cl)nn1C; [None]; [None]; [0]
-Nc1cc(-c2ccc(OCCO)cc2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(F)(F)F)cc2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.99999845]
-CNS(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc(N)ncc2Cl)s1; [None]; [None]; [0]
-Nc1cc(-c2cnc(Cl)nc2)c(Cl)cn1; ['CC1(C)OB(c2cnc(Cl)nc2)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1']; [0.999984503]
-CN(C)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CN(C)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999951482]
-Nc1cc(-c2cncnc2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1cncnc1']; [0.99995172]
-Nc1cc(-c2ccc(Br)cc2)c(Cl)cn1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc(N)ncc1Cl; ['COc1ccc(Cl)cc1B(O)O']; ['Nc1cc(Br)c(Cl)cn1']; [0.999977469]
-Nc1cc(-c2cn[nH]c2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c3ccccc23)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc[nH]2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccc3cn2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CCO3)c(Cl)cn1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(N)ncc2Cl)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.999997735, 0.999997735]
-Nc1cc(-c2cccc3c2OCO3)c(Cl)cn1; [None]; [None]; [0]
-COc1cc(-c2cc(N)ncc2Cl)ccc1O; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999988675]
-Nc1cc(-c2scc3c2OCCO3)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cnc3ccccc3c2)c(Cl)cn1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cnc2ccccc2c1']; [0.999999285, 0.999999285]
-Nc1cc(-c2ccc(F)c(F)c2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1ccc(F)c(F)c1']; [0.999999523]
-CSc1cccc(-c2cc(N)ncc2Cl)c1; ['CSc1cccc(B(O)O)c1']; ['Nc1cc(Br)c(Cl)cn1']; [0.998519242]
-Cc1cc(-c2cc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
-Nc1cc(-c2ccco2)c(Cl)cn1; [None]; [None]; [0]
-CC[C@@H](CO)c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)cc2Cl)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc([C@@H]2CC[C@@H](O)CC2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ncc(Br)cn2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc([C@H]2CC[C@@H](O)C2)c(Cl)cn1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)ncc2Cl)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['Nc1cc(Br)c(Cl)cn1']; [0.999985933]
-Nc1cc(-c2ccc(Cl)cc2Cl)c(Cl)cn1; [None]; [None]; [0]
-CCc1ccc(-c2cc(N)ncc2Cl)cc1; ['CCc1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999934435]
-Nc1cc(-c2ccsc2)c(Cl)cn1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc(N)ncc2Cl)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999985456]
-COc1ccc2cccc(-c3cc(N)ncc3Cl)c2c1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)ncc2Cl)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(N)ncc2Cl)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cc(N)ncc2Cl)ccc1Cl; [None]; [None]; [0]
-Nc1cc(-c2cccc3ccc(O)cc23)c(Cl)cn1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(N)ncc2Cl)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)ncc2Cl)c(OC)cc1Br; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccc3o2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1cc2ccccc2o1']; [0.999156713]
-Cc1ccc(-c2cc(N)ncc2Cl)o1; [None]; [None]; [0]
-Nc1cc(-c2ccc3cn[nH]c3c2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.99999094]
-CNC(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-Nc1cc(-c2cscn2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc(OC(F)(F)F)cc2)c(Cl)cn1; [None]; [None]; [0]
-CCc1cccc(-c2cc(N)ncc2Cl)n1; [None]; [None]; [0]
-Nc1cc(-c2cccc(N3CCCC3=O)c2)c(Cl)cn1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)ncc2Cl)nc1C; [None]; [None]; [0]
-Nc1cc(-c2ccc(CCO)cc2)c(Cl)cn1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc(N)ncc2Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc([C@@H]2C[C@H](O)C2)c(Cl)cn1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc(N)ncc1Cl; ['CCOc1ccccc1B(O)O']; ['Nc1cc(Cl)c(Cl)cn1']; [0.994381]
-Nc1cc(Cc2cc(F)cc(F)c2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cc[nH]n2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1cc[nH]n1']; [0.999708951]
-Nc1cc(-c2ccnc3ccccc23)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cccnc2)c(Cl)cn1; ['CC1(C)OB(c2cccnc2)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1']; [0.999977112]
-Nc1cc(-c2ccccc2F)c(Cl)cn1; ['CC1(C)OB(c2ccccc2F)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1ccccc1F']; [0.999996185, 0.999996185]
-Nc1cc(-c2cccc(C(F)(F)F)c2)c(Cl)cn1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cc(N)ncc1Cl; ['CC1(C)OB(c2ccccc2C#N)OC1(C)C']; ['Nc1cc(Cl)c(Cl)cn1']; [0.999836922]
-Nc1cc(-c2ccccc2Br)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccccc2Cl)c(Cl)cn1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2cnn(Cc3ccccc3)c2)c(Cl)cn1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1']; [0.99999845]
-Nc1cc(-c2ccccc2OC(F)(F)F)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999973059]
-Nc1cc(-c2cnc(-c3ccccc3)[nH]2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccncn2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2c(F)cccc2F)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cnn(CCO)c2)c(Cl)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Nc1cc(Cl)c(Cl)cn1']; [0.999045551]
-Nc1cc(-c2cccc(NC(=O)c3ccccc3)c2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc([C@@H](N)c2ccco2)c(Cl)cn1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)ncc2Cl)c(Br)c1; [None]; [None]; [0]
-Nc1cc(-c2cnco2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CCC3)c(Cl)cn1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(OC2CCCCC2)c(Cl)cn1; ['Nc1cc(Cl)c(Cl)cn1']; ['OC1CCCCC1']; [0.981501102]
-Nc1cc(-c2cnc3ccccn23)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2c(Cl)cccc2Cl)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(NCc2cccnc2)c(Cl)cn1; ['NCc1cccnc1', 'NCc1cccnc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.999840379, 0.999840379]
-CC(C)(C)Nc1cc(N)ncc1Cl; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc(N)ncc2Cl)c1; [None]; [None]; [0]
-Nc1cc(-c2cccc(Cl)c2Cl)c(Cl)cn1; [None]; [None]; [0]
-Cc1ncc(-c2cc(N)ncc2Cl)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2cc(N)ncc2Cl)c1; ['COc1cccc(B(O)O)c1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999773085]
-Nc1cc(-c2ccc3ccccc3c2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccnc(N)n2)c(Cl)cn1; [None]; [None]; [0]
-C[C@H](CO)Nc1cc(N)ncc1Cl; ['C[C@@H](N)CO']; ['Nc1cc(Br)c(Cl)cn1']; [0.949420869]
-Nc1cc(Nc2cccnc2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Cl)s2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1ccc(Cl)s1']; [0.999995708]
-CC(C)COc1cc(N)ncc1Cl; ['CC(C)CO']; ['Nc1cc(Cl)c(Cl)cn1']; [0.944528937]
-Nc1cc(NC(=O)c2cccs2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cccc(CO)c2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C']; ['OCc1cccc(B(O)O)c1', 'Nc1cc(Cl)c(Cl)cn1']; [0.999417424, 0.999417424]
-Nc1cc(-c2cncc3ccccc23)c(Cl)cn1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1']; [0.999962687]
-Nc1cc(-n2cnc3ccccc32)c(Cl)cn1; ['Nc1cc(F)c(Cl)cn1']; ['c1ccc2[nH]cnc2c1']; [0.95439887]
-Nc1cc(Nc2ccncc2)c(Cl)cn1; ['Nc1cc(Cl)c(Cl)cn1']; ['Nc1ccncc1']; [0.838469744]
-C[C@@H](O)[C@@H](C)Oc1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2cccs2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1cccs1']; [0.99994719]
-Cn1cncc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-N#CCCc1cccc(-c2cc(N)ncc2Cl)c1; [None]; [None]; [0]
-CC(C)Nc1cc(N)ncc1Cl; ['CC(C)N']; ['Nc1cc(F)c(Cl)cn1']; [0.986350715]
-CCC(=O)Nc1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-CCC(=O)Nc1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)cc2C(F)(F)F)c(Cl)cn1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)ncc2Cl)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Nc1cc(Br)c(Cl)cn1']; [0.99999249]
-Nc1cc(-c2cnoc2)c(Cl)cn1; [None]; [None]; [0]
-CCCn1cc(-c2cc(N)ncc2Cl)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999998808]
-Cc1cc(-c2cc(N)ncc2Cl)no1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2cccc3c2C(=O)CC3)c(Cl)cn1; [None]; [None]; [0]
-CCN(CC)c1cc(N)ncc1Cl; ['CCNCC']; ['Nc1cc(Br)c(Cl)cn1']; [0.996872127]
-Nc1cc(-c2cc3c(=O)[nH]ccc3o2)c(Cl)cn1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-Nc1cc(Nc2cnc3ccccc3c2)c(Cl)cn1; [None]; [None]; [0]
-COc1ccncc1Nc1cc(N)ncc1Cl; ['COc1ccncc1N']; ['Nc1cc(Cl)c(Cl)cn1']; [0.963156104]
-Nc1cc(-c2c[nH]c3cnccc23)c(Cl)cn1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cc(N)ncc2Cl)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
-Nc1cc([C@H](CO)Cc2ccccc2)c(Cl)cn1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1cc(Cl)c(Cl)cn1']; [0.998490214]
-N#C[C@H]1CCOC[C@@H]1c1cc(N)ncc1Cl; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
-Nc1cc(-n2ncc3ccccc32)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['c1ccc2[nH]ncc2c1']; [0.998242617]
-NC(=O)c1c(F)cccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999997377]
-Nc1cc(-c2nc3ccc(O)cc3[nH]2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-n2ncc3c(O)cccc32)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cccnc2O)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)c3ccccc3)cc2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999991298]
-Nc1cc(Cc2ccncc2)c(Cl)cn1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)ncc2Cl)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999855042]
-Nc1cc(-n2ccnc2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['c1c[nH]cn1']; [0.99508214]
-Nc1cc(OC2CCOCC2)c(Cl)cn1; ['Nc1cc(Cl)c(Cl)cn1']; ['OC1CCOCC1']; [0.997995853]
-Cc1cncc(-c2cc(N)ncc2Cl)n1; ['Cc1cncc(Br)n1']; ['Nc1cc(Br)c(Cl)cn1']; [0.935355]
-Nc1cc(-c2cnc(N)s2)c(Cl)cn1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc(N)ncc1Cl; ['COc1cccc(F)c1B(O)O']; ['Nc1cc(Br)c(Cl)cn1']; [0.999999642]
-Nc1cc(-c2nnc(N)s2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cccc3ccsc23)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2nc3ccccc3s2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2nc(N)c3ccccc3n2)c(Cl)cn1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c3cccnc23)c(Cl)cn1; [None]; [None]; [0]
-CC(C)(C)CNc1cc(N)ncc1Cl; ['CC(C)(C)CN']; ['Nc1cc(F)c(Cl)cn1']; [0.999446571]
-Nc1cc(Cc2cccnc2)c(Cl)cn1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
-Nc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)c(Cl)cn1; ['Nc1cc(F)c(Cl)cn1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.990335]
-Nc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)c(Cl)cn1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Nc1cc(Cl)c(Cl)cn1']; [0.858731568]
-CC(C)(C)Oc1cc(N)ncc1Cl; ['CC(C)(C)O']; ['Nc1cc(F)c(Cl)cn1']; [0.94891578]
-CCOc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CCOc1ccc(I)cc1', 'Brc1cncc(I)c1']; ['CCOc1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'CCOc1ccc(Br)cc1']; [0.999965668, 0.999965668, 0.999965668]
-Cc1n[nH]cc1-c1cncc(Br)c1; ['Cc1n[nH]cc1Br']; ['OB(O)c1cncc(Br)c1']; [0.998400867]
-CS(=O)(=O)c1cccc(-c2cncc(Br)c2)c1; ['CS(=O)(=O)c1cccc(Br)c1']; ['OB(O)c1cncc(Br)c1']; [0.99963212]
-Cn1nncc1-c1cncc(Br)c1; ['Brc1cncc(Br)c1']; ['Cn1ccnn1']; [0.99779129]
-COc1ccc(OC)c(-c2cc(N)ncc2Cl)c1; [None]; [None]; [0]
-Cn1cc(-c2cncc(Br)c2)cn1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [0.999995232, 0.999995232, 0.999995232]
-N#Cc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(Br)c1', 'N#Cc1ccc(I)cc1', 'N#Cc1ccc(Br)cc1', 'N#Cc1ccc(Cl)cc1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'N#Cc1ccc(Br)cc1']; [0.999994278, 0.999994278, 0.999994278, 0.999994278, 0.999994278]
-Cc1nn(C)cc1-c1cncc(Br)c1; ['Brc1cncc(Br)c1']; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; [0.999905229]
-Oc1cccc(-c2cncc(Br)c2)c1; ['Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1']; [0.997615814, 0.997615814]
-COc1ncccc1-c1cncc(Br)c1; ['Brc1cncc(Br)c1', 'COc1ncccc1Cl', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['COc1ncccc1B(O)O', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.996317, 0.996317, 0.996317, 0.996317]
-COc1ccc(-c2cncc(Br)c2)cc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'COc1ccc(Br)cc1', 'Brc1cncc(Br)c1']; ['COc1ccc(Br)cc1', 'OB(O)c1cncc(Br)c1', 'COc1ccc([Mg]Br)cc1']; [0.999792397, 0.999792397, 0.999792397]
-COc1cc(-c2cncc(Br)c2)cc(OC)c1OC; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC']; [0.999768317, 0.999768317, 0.999768317]
-Cc1cc(Nc2cncc(Br)c2)sn1; ['Cc1cc(N)sn1']; ['Clc1cncc(Br)c1']; [0.999894738]
-Brc1cncc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Brc1cncc(Br)c1']; ['OB(O)c1cncc(Br)c1', 'c1cnn2ccnc2c1']; [0.999995589, 0.999995589]
-Brc1cncc(-c2nc3ccccc3[nH]2)c1; ['Nc1ccccc1N']; ['O=C(O)c1cncc(Br)c1']; [0.999027967]
-O=C(Nc1ccccc1)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(Br)c1']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C']; [0.999997735]
-Brc1cncc(Nc2ncccn2)c1; ['Brc1cncc(Br)c1']; ['Nc1ncccn1']; [0.99379313]
-NC(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Clc1cncc(Br)c1', 'NC(=O)c1ccc(Cl)cc1']; ['NC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1']; [0.999711335, 0.999711335]
-Fc1cccc(-c2cncc(Br)c2)c1; ['Fc1cccc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['OB(O)c1cncc(Br)c1', 'OB(O)c1cccc(F)c1', 'OB(O)c1cccc(F)c1']; [0.993343353, 0.993343353, 0.993343353]
-Brc1cncc(Cc2nccc3ccccc23)c1; ['Brc1cncc(Br)c1']; ['Cc1nccc2ccccc12']; [0.911856771]
-Clc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2ccc(Cl)cc2)OC1(C)C', 'OB(O)c1ccc(Cl)cc1', 'Clc1ccc(I)cc1']; [0.999967813, 0.999967813, 0.999967813]
-O=C(Nc1cncc(Br)c1)C1CC1; ['Nc1cncc(Br)c1', 'Clc1cncc(Br)c1']; ['O=C(O)C1CC1', 'NC(=O)C1CC1']; [0.999978423, 0.999978423]
-Brc1cncc(Nc2ccncn2)c1; ['Clc1ccncn1']; ['Nc1cncc(Br)c1']; [0.999892354]
-OCCOc1ccc(-c2cncc(Br)c2)cc1; ['OB(O)c1cncc(Br)c1']; ['OCCOc1ccc(Br)cc1']; [0.998158753]
-Brc1cncc(-c2cccc(C3CCNCC3)c2)c1; ['Brc1cccc(C2CCNCC2)c1']; ['Brc1cncc(Br)c1']; [0.884033144]
-C[C@H](O)COc1ccc(-c2cncc(Br)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cncc(Br)c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1cncc(Br)c1']; [0.98974508]
-CN(C)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(Br)c1', 'CN(C)c1ccc(B(O)O)cc1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cncc(Br)c1']; [0.999993324, 0.999993324]
-Cc1cc(-c2cncc(Br)c2)nn1C; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cncc(Br)c2)cc1; ['FC(F)(F)c1ccc(Br)cc1', 'Brc1cncc(Br)c1']; ['OB(O)c1cncc(Br)c1', 'FC(F)(F)c1ccc(I)cc1']; [0.999718606, 0.999718606]
-Brc1cncc(Cc2ccncc2)c1; ['BrCc1ccncc1']; ['OB(O)c1cncc(Br)c1']; [0.957285643]
-Cc1nc(C)c(-c2cncc(Br)c2)s1; ['Brc1cncc(Br)c1']; ['Cc1csc(C)n1']; [0.975005627]
-Oc1ccccc1Cc1cncc(Br)c1; [None]; [None]; [0]
-Clc1ncc(-c2cncc(Br)c2)cn1; ['Brc1cncc(I)c1', 'Clc1ncc(I)cn1']; ['OB(O)c1cnc(Cl)nc1', 'OB(O)c1cncc(Br)c1']; [0.999889, 0.999889]
-Brc1cncc(Cc2cccnc2)c1; ['ClCc1cncc(Br)c1', 'ClCc1cccnc1']; ['OB(O)c1cccnc1', 'OB(O)c1cncc(Br)c1']; [0.996164083, 0.996164083]
-Brc1cncc(-n2ccnc2)c1; ['Fc1cncc(Br)c1', 'Brc1cncc(I)c1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.998038352, 0.998038352]
-Brc1cncc(-c2cncnc2)c1; [None]; [None]; [0]
-OC[C@@H](O)Cc1cncc(Br)c1; [None]; [None]; [0]
-Brc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(Br)c1', 'Brc1ccc(Br)cc1', 'Brc1ccc(I)cc1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'OB(O)c1ccc(Br)cc1']; [0.999979496, 0.999979496, 0.999979496, 0.999979496]
-COc1ccc(Cc2cncc(Br)c2)cc1; ['Brc1cncc(Br)c1']; ['COc1ccc(C[Zn]Cl)cc1']; [0.963503361]
-COc1ccc(Cl)cc1-c1cncc(Br)c1; ['COc1ccc(Cl)cc1I']; ['OB(O)c1cncc(Br)c1']; [0.999205768]
-Brc1cncc(-c2cn[nH]c2)c1; ['Brc1cncc(Br)c1', 'Brc1cn[nH]c1']; ['OB(O)c1cn[nH]c1', 'OB(O)c1cncc(Br)c1']; [0.998365104, 0.998365104]
-Brc1cncc(-c2ccc3c(c2)CCO3)c1; ['Brc1cncc(Br)c1', 'Brc1ccc2c(c1)CCO2']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'OB(O)c1cncc(Br)c1']; [0.999996543, 0.999996543]
-Brc1cncc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
-Brc1cncc(-c2ccc[nH]2)c1; [None]; [None]; [0]
-Brc1cncc(Cn2ccnc2)c1; ['ClCc1cncc(Br)c1']; ['c1c[nH]cn1']; [0.999945879]
-CC(=O)Nc1cccc(-c2cncc(Br)c2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1']; [0.978836715, 0.978836715]
-Brc1cncc(-c2cc3ccccc3cn2)c1; ['Clc1cc2ccccc2cn1']; ['OB(O)c1cncc(Br)c1']; [0.999912858]
-COc1cc(-c2cncc(Br)c2)ccc1O; [None]; [None]; [0]
-Fc1ccc(-c2cncc(Br)c2)cc1F; ['Brc1cncc(Br)c1', 'Fc1ccc(Br)cc1F', 'Brc1cncc(Br)c1']; ['Fc1ccc(I)cc1F', 'OB(O)c1cncc(Br)c1', 'Fc1ccc(Br)cc1F']; [0.999236107, 0.999236107, 0.999236107]
-Brc1cncc(-c2scc3c2OCCO3)c1; [None]; [None]; [0]
-Brc1cncc(-c2cnc3ccccc3c2)c1; ['Brc1cncc(Br)c1', 'Brc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1']; [0.999969721, 0.999969721, 0.999969721]
-COCCOc1cncc(Br)c1; ['COCCO', 'COCCBr']; ['Oc1cncc(Br)c1', 'Oc1cncc(Br)c1']; [0.9999, 0.9999]
-Brc1cncc(-c2cccc3c2OCO3)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(Br)c1', 'CC(C)(C)c1ccc(I)cc1', 'Brc1cncc(I)c1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC(C)(C)c1ccc(B(O)O)cc1']; [0.999997854, 0.999997854, 0.999997854]
-CC1(COc2cncc(Br)c2)COC1; ['CC1(CO)COC1', 'CC1(CI)COC1', 'CC1(CCl)COC1', 'Brc1cncc(Br)c1']; ['Oc1cncc(Br)c1', 'Oc1cncc(Br)c1', 'Oc1cncc(Br)c1', 'CC1(CO)COC1']; [0.999794662, 0.999794662, 0.999794662, 0.999794662]
-Cc1cc(-c2cncc(Br)c2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['OB(O)c1cncc(Br)c1']; [0.99957031]
-CSc1cccc(-c2cncc(Br)c2)c1; ['Brc1cncc(I)c1']; ['CSc1cccc(B(O)O)c1']; [0.992336571]
-Brc1cncc(-c2ccco2)c1; [None]; [None]; [0]
-Fc1ccc(-c2cncc(Br)c2)c(Cl)c1; ['Fc1ccc(Cl)c(Cl)c1']; ['OB(O)c1cncc(Br)c1']; [0.93317014]
-OC[C@H](Cc1ccccc1)c1cncc(Br)c1; [None]; [None]; [0]
-COc1ccc(-c2cncc(Br)c2)cc1OC; ['Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'COc1ccc(B(O)O)cc1OC']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'Clc1cncc(Br)c1']; [0.999967933, 0.999967933, 0.999967933]
-Brc1cnc(-c2cncc(Br)c2)nc1; ['Clc1ncc(Br)cn1']; ['OB(O)c1cncc(Br)c1']; [0.996943414]
-O[C@@H]1CC[C@@H](c2cncc(Br)c2)CC1; [None]; [None]; [0]
-COc1ccc(CNc2cncc(Br)c2)cc1; ['COc1ccc(CO)cc1']; ['Nc1cncc(Br)c1']; [0.999908447]
-Clc1ccc(-c2cncc(Br)c2)c(Cl)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1']; ['Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1']; [0.999628663, 0.999628663]
-Cn1cc(-c2cncc(Br)c2)c(C(F)(F)F)n1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C']; ['Cn1cc(Br)c(C(F)(F)F)n1']; [0.999894619]
-Cc1cc(C)cc(-c2cncc(Br)c2)c1; ['Brc1cncc(Br)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['Cc1cc(C)cc(B(O)O)c1', 'Clc1cncc(Br)c1']; [0.996651828, 0.996651828]
-O[C@@H]1CC[C@H](c2cncc(Br)c2)C1; [None]; [None]; [0]
-CCc1ccc(-c2cncc(Br)c2)cc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CCc1ccc(I)cc1', 'CCc1ccc(B(O)O)cc1']; ['CCc1ccc(Br)cc1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1']; [0.99989152, 0.99989152, 0.99989152]
-Brc1cncc(-c2ccsc2)c1; ['Brc1cncc(Br)c1', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'OB(O)c1cncc(Br)c1']; [0.99882406, 0.99882406]
-Oc1ccc2cccc(-c3cncc(Br)c3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cncc(Br)c2)cc1OC; [None]; [None]; [0]
-Cc1nc(Nc2cncc(Br)c2)sc1C; ['Cc1nc(Br)sc1C']; ['Nc1cncc(Br)c1']; [0.999594748]
-Cc1cc(Nc2cncc(Br)c2)nn1C; ['Brc1cncc(Br)c1']; ['Cc1cc(N)nn1C']; [0.998524249]
-COc1ccc2cccc(-c3cncc(Br)c3)c2c1; [None]; [None]; [0]
-COc1cc(-c2cncc(Br)c2)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cncc(Br)c2)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'COc1cc(I)cc(OC)c1']; ['COc1cc(Br)cc(OC)c1', 'OB(O)c1cncc(Br)c1']; [0.999729574, 0.999729574]
-CC(C)Oc1cncc(Br)c1; ['CC(C)Br']; ['Oc1cncc(Br)c1']; [0.995164514]
-CCn1cc(-c2cncc(Br)c2)cn1; ['Brc1cncc(Br)c1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999674439]
-COc1cc(-c2cncc(Br)c2)ccc1Cl; ['Brc1cncc(Br)c1']; ['COc1cc(B(O)O)ccc1Cl']; [0.999421954]
-CNC(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(Br)c1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999994755]
-Cc1ccc(-c2cncc(Br)c2)o1; ['Cc1ccc(B(O)O)o1']; ['Clc1cncc(Br)c1']; [0.982553422]
-Brc1cncc(-c2ccc3cn[nH]c3c2)c1; ['Clc1cncc(Br)c1', 'Brc1ccc2cn[nH]c2c1', 'Brc1cncc(Br)c1']; ['OB(O)c1ccc2cn[nH]c2c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1']; [0.999958873, 0.999958873, 0.999958873]
-COC(=O)Nc1cncc(Br)c1; ['COC(=O)Cl']; ['Nc1cncc(Br)c1']; [0.99999249]
-Brc1cncc(-c2cc3ccccc3o2)c1; ['Brc1cncc(Br)c1']; ['OB(O)c1cc2ccccc2o1']; [0.999036193]
-FC(F)(F)Oc1ccc(-c2cncc(Br)c2)cc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1cncc(Br)c1']; [0.999999166, 0.999999166, 0.999999166]
-Brc1cncc(-c2cscn2)c1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cncc(Br)c2)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1']; ['O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.999835134, 0.999835134]
-CCc1cccc(-c2cncc(Br)c2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cncc(Br)c2)nc1C; [None]; [None]; [0]
-Fc1ccc(Nc2cncc(Br)c2)nc1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1']; ['Nc1ccc(F)cn1', 'Nc1ccc(F)cn1']; [0.998411417, 0.998411417]
-OCCc1ccc(-c2cncc(Br)c2)cc1; ['OB(O)c1cncc(Br)c1']; ['OCCc1ccc(Br)cc1']; [0.987561703]
-Brc1cncc(Nc2ccccn2)c1; ['Brc1cncc(I)c1']; ['Nc1ccccn1']; [0.997992396]
-COc1cc(N2CCNCC2)ccc1-c1cncc(Br)c1; [None]; [None]; [0]
-N#Cc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cncc(Br)c2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['OB(O)c1cncc(Br)c1']; [0.996312678]
-CCOc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-COc1ncccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Cc1n[nH]cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)[nH]n2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1cc(CCc2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-Cn1nncc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cnc3cccnn23)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(O)c2)n[nH]1; [None]; [None]; [0]
-Cc1nn(C)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2nc3ccccc3[nH]2)n[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-COc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)Nc3ccccc3)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCNc2ncccn2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCCc2nccc3ccccc23)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Cl)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(F)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCCCCO)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(OCCO)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(C3CCNCC3)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(CCc2cc(N)[nH]n2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(F)(F)F)cc2)n[nH]1; [None]; [None]; [0]
-CN(C)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2cnc(Cl)nc2)n[nH]1; [None]; [None]; [0]
-Cc1nc(C)c(CCc2cc(N)[nH]n2)s1; [None]; [None]; [0]
-Nc1cc(CCc2cncnc2)n[nH]1; [None]; [None]; [0]
-COc1ccc(Cl)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Br)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cn[nH]c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc[nH]2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2c[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3c(c2)CCO3)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc3ccccc3cn2)n[nH]1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)[nH]n2)ccc1O; [None]; [None]; [0]
-CC(=O)Nc1cccc(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
-Nc1cc(CCc2scc3c2OCCO3)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccc3c2OCO3)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(F)c(F)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cnc3ccccc3c2)n[nH]1; [None]; [None]; [0]
-CC(C)(C)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ccco2)n[nH]1; [None]; [None]; [0]
-CSc1cccc(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
-Cc1cc(CCc2cc(N)[nH]n2)nc(N)n1; [None]; [None]; [0]
-Nc1cc(CC[C@H]2CC[C@H](O)CC2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(F)cc2Cl)n[nH]1; [None]; [None]; [0]
-CC[C@@H](CO)CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CC[C@H]2CC[C@@H](O)C2)n[nH]1; [None]; [None]; [0]
-COc1ccc(CCc2cc(N)[nH]n2)cc1OC; [None]; [None]; [0]
-Nc1cc(CCc2ncc(Br)cn2)n[nH]1; [None]; [None]; [0]
-CCc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Cl)cc2Cl)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccsc2)n[nH]1; [None]; [None]; [0]
-Cn1cc(CCc2cc(N)[nH]n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1cc(C)cc(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
-COc1ccc2cccc(CCc3cc(N)[nH]n3)c2c1; [None]; [None]; [0]
-Nc1cc(CCc2cccc3ccc(O)cc23)n[nH]1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)[nH]n2)ccc1Cl; [None]; [None]; [0]
-COc1cc(F)c(CCc2cc(N)[nH]n2)cc1OC; [None]; [None]; [0]
-Cc1ccc(CCc2cc(N)[nH]n2)o1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)[nH]n2)c(OC)cc1Br; [None]; [None]; [0]
-Nc1cc(CCc2ccc3cn[nH]c3c2)n[nH]1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)[nH]n2)cc(OC)c1; [None]; [None]; [0]
-Nc1cc(CCc2cc3ccccc3o2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(OC(F)(F)F)cc2)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2cscn2)n[nH]1; [None]; [None]; [0]
-Cc1ccc(CCc2cc(N)[nH]n2)nc1C; [None]; [None]; [0]
-CCc1cccc(CCc2cc(N)[nH]n2)n1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(N3CCCC3=O)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(CCO)cc2)n[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
-Nc1cc(CCc2ccncc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(O)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2n[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccc3ncccc23)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Cl)c(O)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(O)cc2Cl)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2c(F)cccc2F)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2c(Cl)cccc2Cl)n[nH]1; [None]; [None]; [0]
-Nc1cc(CC[C@@H]2C[C@H](O)C2)n[nH]1; [None]; [None]; [0]
-Nc1nccc(CCc2cc(N)[nH]n2)n1; [None]; [None]; [0]
-Cc1ncc(CCc2cc(N)[nH]n2)[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc[nH]c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccccc2Cl)n[nH]1; [None]; [None]; [0]
-N#Cc1cnc(CCc2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-COC(=O)c1ccc(CCc2cc(N)[nH]n2)o1; [None]; [None]; [0]
-Nc1cc(CCc2ccoc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(Br)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cnccn2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccs2)n[nH]1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
-N#Cc1ccc(CCc2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-Nc1cc(CCc2ccncn2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(O)cc2O)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(F)c(Cl)c2)n[nH]1; [None]; [None]; [0]
-Cc1ccc(O)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCCOc2ccccc2Cl)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc(O)ccc2Cl)n[nH]1; [None]; [None]; [0]
-Cc1ccc(CO)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCCn2ccccc2=O)n[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(CCc3cc(N)[nH]n3)cc2[nH]1; [None]; [None]; [0]
-Cc1ccc(CCc2cc(N)[nH]n2)cc1C; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2cnc(O)c(Cl)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2nc3ccccc3s2)n[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3c(c2)CC(=O)N3)n[nH]1; [None]; [None]; [0]
-NC(=O)[C@@H]1CC[C@H](CCc2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-Nc1cc(CCc2cncc(O)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(O)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Cc1cccc(C)c1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-CCc1cc(O)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-CCc1sccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cc(Cl)c(O)c(Cl)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCn2ccnc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3c(c2)CCN3)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Br)cc2F)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc(N)[nH]n2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2nccs2)n[nH]1; [None]; [None]; [0]
-Cc1csc(CCc2cc(N)[nH]n2)n1; [None]; [None]; [0]
-Nc1cc(CCc2cc(O)cc(Br)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3[nH]c(=O)[nH]c3c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cnco2)n[nH]1; [None]; [None]; [0]
-Cc1ccc(CCc2cc(N)[nH]n2)c(C)n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3c(=O)[nH][nH]c3c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc(F)c(O)c(F)c2)n[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(CCc3cc(N)[nH]n3)cc2o1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnn(C)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(O)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccncc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cn[nH]c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(Cl)c(O)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc2ncccc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1c(F)cccc1F; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1n[nH]c2ccccc12; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(O)cc1Cl; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccnc(N)n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnc(C)[nH]1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc[nH]c1; [None]; [None]; [0]
-COc1cc(-c2cc3nccc(O)c3cc2OC)ccc1O; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccccc1Cl; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1C[C@@H](O)CO; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnc(C#N)cn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1C[C@@H](C)O; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnccn1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)o1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C#N)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C#N)nc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(Br)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccoc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(O)cc1O; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccs1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1COc1ccccc1Cl; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccncn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C)c(C)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(O)ccc1Cl; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(O)ccc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(CO)ccc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2nc(C)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2cc3nccc(O)c3cc2OC)cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1nc2ccccc2s1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cncc(O)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1[C@@H]1CC[C@H](C(N)=O)CC1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)CC(=O)N2; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1c(C)cccc1C; [None]; [None]; [0]
-CCc1sccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1nccs1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(O)cc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2[nH]c(=O)[nH]c2c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(Cl)c(O)c(Cl)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(Br)cc1F; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1nc(C)cs1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C)c(C)n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(O)cc(Br)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnco1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(F)c(O)c(F)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C)nc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2c(=O)[nH][nH]c2c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(F)cc1Cl; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2nc(C)oc2c1; [None]; [None]; [0]
-CCOc1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccnc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(SC)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(OC)c(OC)c(OC)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1c[nH]nc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cn(C)nc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnnn1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(O)c1; [None]; [None]; [0]
-COc1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnc2cccnn12; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Nc1ncccn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Nc1cc(C)ns1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cc1nccc2ccccc12; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(F)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(Cl)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(OCCO)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1NC(=O)C1CC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Nc1ccncn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(C)n(C)n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(N(C)C)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1sc(C)nc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cc1ccncc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1C[C@H](O)CO; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cc1ccccc1O; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnc(Cl)nc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(Br)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cc1cccnc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-n1ccnc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cncnc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cn1ccnc1; [None]; [None]; [0]
-COc1ccc(Cc2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(NC(C)=O)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc2c1OCO2; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc[nH]1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(F)c(F)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc2ccccc2cn1; [None]; [None]; [0]
-COCCOc1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1OCC1(C)COC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1scc2c1OCCO2; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(C)nc(N)n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnc2ccccc2c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ncc(Br)cn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccco1; [None]; [None]; [0]
-COc1ccc(CNc2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
-CCc1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(C)cc(C)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccsc1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc3nccc(O)c3cc2OC)cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc4nccc(O)c4cc3OC)c2c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Nc1nc(C)c(C)s1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Nc1cc(C)n(C)n1; [None]; [None]; [0]
-COc1cc(-c2cc3nccc(O)c3cc2OC)ccc1Cl; [None]; [None]; [0]
-COc1cc(-c2cc3nccc(O)c3cc2OC)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C)o1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc2ccccc2o1; [None]; [None]; [0]
-CCn1cc(-c2cc3nccc(O)c3cc2OC)cn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1OC(C)C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cscn1; [None]; [None]; [0]
-COC(=O)Nc1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(CCO)cc1; [None]; [None]; [0]
-CCc1cccc(-c2cc3nccc(O)c3cc2OC)n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Nc1ccc(F)cn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Nc1ccccn1; [None]; [None]; [0]
-Oc1ccc(-c2coc3ccccc23)cc1; ['Brc1coc2ccccc12']; ['OB(O)c1ccc(O)cc1']; [0.977288306]
-c1ccc2c(-c3ccncc3)coc2c1; ['O=C(O)C=Cc1ccncc1']; ['Oc1ccccc1']; [0.930134833]
-COc1cc(N2CCNCC2)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-c1cc(-c2coc3ccccc23)c2cccnc2c1; ['Brc1coc2ccccc12']; ['OB(O)c1cccc2ncccc12']; [0.998634756]
-CCc1ccc(-c2coc3ccccc23)cc1; ['Brc1coc2ccccc12']; ['CCc1ccc(B(O)O)cc1']; [0.98635745]
-COc1cc2c(O)ccnc2cc1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
-Cn1cc(-c2coc3ccccc23)cn1; ['Brc1coc2ccccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999925613]
-Oc1cc(-c2coc3ccccc23)ccc1Cl; [None]; [None]; [0]
-c1ccc2c(-c3coc4ccccc34)n[nH]c2c1; [None]; [None]; [0]
-c1ccc2c(-c3cn[nH]c3)coc2c1; ['Brc1coc2ccccc12']; ['OB(O)c1cn[nH]c1']; [0.99991405]
-Fc1cccc(F)c1-c1coc2ccccc12; ['Brc1coc2ccccc12']; ['OB(O)c1c(F)cccc1F']; [0.989947498]
-Clc1cccc(Cl)c1-c1coc2ccccc12; ['O=[N+]([O-])C=Cc1c(Cl)cccc1Cl']; ['Oc1ccccc1']; [0.992681324]
-CNS(=O)(=O)c1ccc(-c2coc3ccccc23)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2coc3ccccc23)cc1; ['OB(O)c1ccc(F)cc1']; ['Oc1coc2ccccc12']; [0.991358638]
-NC(=O)c1ccc(-c2coc3ccccc23)cc1; ['Brc1coc2ccccc12', 'Brc1coc2ccccc12']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; [0.999666691, 0.999666691]
-Oc1ccc(-c2coc3ccccc23)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2coc3ccccc23)n1; [None]; [None]; [0]
-Cc1ncc(-c2coc3ccccc23)[nH]1; [None]; [None]; [0]
-Clc1ccccc1-c1coc2ccccc12; ['Brc1coc2ccccc12', 'O=C(O)C=Cc1ccccc1Cl']; ['OB(O)c1ccccc1Cl', 'Oc1ccccc1']; [0.998249948, 0.998249948]
-O[C@H]1C[C@@H](c2coc3ccccc23)C1; [None]; [None]; [0]
-c1ccc2c(-c3cc[nH]c3)coc2c1; [None]; [None]; [0]
-N#Cc1cnc(-c2coc3ccccc23)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2coc3ccccc23)cc1; ['Brc1coc2ccccc12', 'N#Cc1ccc(C=CC(=O)O)cc1']; ['N#Cc1ccc(B(O)O)cc1', 'Oc1ccccc1']; [0.999117315, 0.999117315]
-COc1cc(-c2coc3ccccc23)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2coc3ccccc23)o1; ['Brc1coc2ccccc12']; ['COC(=O)c1ccco1']; [0.872215092]
-c1ccc2c(-c3ccoc3)coc2c1; ['Brc1coc2ccccc12']; ['OB(O)c1ccoc1']; [0.99961251]
-c1ccc2c(-c3cnccn3)coc2c1; ['Brc1coc2ccccc12']; ['c1cnccn1']; [0.773660243]
-Clc1cccc(OCc2coc3ccccc23)c1; ['OCc1coc2ccccc12']; ['Oc1cccc(Cl)c1']; [0.99981755]
-N#Cc1ccc(-c2coc3ccccc23)cn1; ['Brc1coc2ccccc12']; ['N#Cc1ccc(B(O)O)cn1']; [0.999856949]
-OCCCc1coc2ccccc12; [None]; [None]; [0]
-COc1cc(CCc2coc3ccccc23)ccc1O; [None]; [None]; [0]
-Brc1cccc(-c2coc3ccccc23)c1; ['O=C(O)C=Cc1cccc(Br)c1', 'Brc1coc2ccccc12', 'O=[N+]([O-])C=Cc1cccc(Br)c1']; ['Oc1ccccc1', 'OB(O)c1cccc(Br)c1', 'Oc1ccccc1']; [0.997681737, 0.997681737, 0.997681737]
-c1csc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12', 'Brc1coc2ccccc12']; ['c1ccsc1', 'OB(O)c1cccs1']; [0.993306816, 0.993306816]
-COC(=O)c1ccc(Cl)c(-c2coc3ccccc23)c1; [None]; [None]; [0]
-Oc1ccc(-c2coc3ccccc23)c(O)c1; [None]; [None]; [0]
-c1ccc2c(-c3ccncn3)coc2c1; [None]; [None]; [0]
-Fc1ccc(-c2coc3ccccc23)cc1Cl; ['Brc1coc2ccccc12']; ['OB(O)c1ccc(F)c(Cl)c1']; [0.998044]
-Clc1ccccc1OCc1coc2ccccc12; ['OCc1coc2ccccc12']; ['Oc1ccccc1Cl']; [0.989206433]
-Cc1ccc(-c2coc3ccccc23)cc1C; ['Brc1coc2ccccc12']; ['Cc1ccc(B(O)O)cc1C']; [0.999756873]
-OC[C@H](c1ccccc1)c1coc2ccccc12; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1coc2ccccc12; [None]; [None]; [0]
-Oc1ncc(-c2coc3ccccc23)cc1Cl; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2coc3ccccc23)c1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1coc2ccccc12; [None]; [None]; [0]
-COc1ccc(-c2coc3ccccc23)cc1OC; ['Brc1coc2ccccc12', 'COc1ccc(C=C[N+](=O)[O-])cc1OC']; ['COc1ccc(B(O)O)cc1OC', 'Oc1ccccc1']; [0.997408211, 0.997408211]
-COc1cc(OC)cc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12', 'COc1cc(Br)cc(OC)c1']; ['COc1cc(OC)cc(B(O)O)c1', 'c1ccc2occc2c1']; [0.999835134, 0.999835134]
-O=c1ccccn1Cc1coc2ccccc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2coc3ccccc23)cc1; ['Brc1coc2ccccc12']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.996490061]
-Cc1nc2ccc(-c3coc4ccccc34)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2coc3ccccc23)cc1; [None]; [None]; [0]
-O=C1Cc2cc(-c3coc4ccccc34)ccc2N1; [None]; [None]; [0]
-Oc1cncc(-c2coc3ccccc23)c1; [None]; [None]; [0]
-c1ccc2sc(-c3coc4ccccc34)nc2c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1coc2ccccc12; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1coc2ccccc12; [None]; [None]; [0]
-c1ccc2c(-n3ccnc3)coc2c1; ['Brc1coc2ccccc12']; ['c1c[nH]cn1']; [0.826906443]
-Cc1cccc(C)c1-c1coc2ccccc12; ['Brc1coc2ccccc12']; ['Cc1cccc(C)c1B(O)O']; [0.995392084]
-NC(=O)[C@H]1CC[C@@H](c2coc3ccccc23)CC1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2coc3ccccc23)cc1Cl; [None]; [None]; [0]
-c1ccc2c(-c3nccs3)coc2c1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1coc2ccccc12; ['Brc1coc2ccccc12']; ['Cc1cc(O)ccc1B(O)O']; [0.992471576]
-Nc1cc(-c2coc3ccccc23)[nH]n1; [None]; [None]; [0]
-CCc1sccc1-c1coc2ccccc12; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3coc4ccccc34)cc2[nH]1; [None]; [None]; [0]
-c1ccc2c(Nc3ccncc3)coc2c1; ['Brc1coc2ccccc12']; ['Nc1ccncc1']; [0.765316069]
-Fc1cc(Br)ccc1-c1coc2ccccc12; ['Brc1coc2ccccc12']; ['OB(O)c1ccc(Br)cc1F']; [0.908479571]
-c1ccc2c(-c3ccc4c(c3)CCN4)coc2c1; [None]; [None]; [0]
-Cc1csc(-c2coc3ccccc23)n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1coc2ccccc12; [None]; [None]; [0]
-Cc1ccc(-c2coc3ccccc23)nc1C; ['Brc1coc2ccccc12']; ['Cc1cccnc1C']; [0.921425223]
-CNC(=O)c1ccc(-c2coc3ccccc23)cc1; ['Brc1coc2ccccc12']; ['CNC(=O)c1ccc(B(O)O)cc1']; [0.999012]
-Oc1cc(Br)cc(-c2coc3ccccc23)c1; [None]; [None]; [0]
-Cc1ccc(-c2coc3ccccc23)c(C)n1; [None]; [None]; [0]
-c1ccc2c(-c3cnco3)coc2c1; [None]; [None]; [0]
-Oc1c(F)cc(-c2coc3ccccc23)cc1F; [None]; [None]; [0]
-Cc1nc2ccc(-c3coc4ccccc34)cc2o1; [None]; [None]; [0]
-c1ccc(COc2coc3ccccc23)cc1; ['BrCc1ccccc1']; ['Oc1coc2ccccc12']; [0.979908645]
-O=c1[nH][nH]c2cc(-c3coc4ccccc34)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2coc3ccccc23)c(Cl)c1; ['O=C(O)C=Cc1ccc(F)cc1Cl']; ['Oc1ccccc1']; [0.997332931]
-CSc1cccc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12']; ['CSc1cccc(B(O)O)c1']; [0.999653816]
-Fc1ccc(Oc2coc3ccccc23)c(F)c1; ['Fc1ccc(Br)c(F)c1', 'Brc1coc2ccccc12']; ['Oc1coc2ccccc12', 'Oc1ccc(F)cc1F']; [0.99862659, 0.99862659]
-Fc1ccccc1Oc1coc2ccccc12; ['Brc1coc2ccccc12', 'Fc1ccccc1Br']; ['Oc1ccccc1F', 'Oc1coc2ccccc12']; [0.947750628, 0.947750628]
-Fc1cccc(Cl)c1CNc1coc2ccccc12; ['Brc1coc2ccccc12']; ['NCc1c(F)cccc1Cl']; [0.999857426]
-CNC(=O)c1ccccc1-c1coc2ccccc12; [None]; [None]; [0]
-CCOc1ccccc1-c1coc2ccccc12; ['CCOc1ccccc1C=CC(=O)O']; ['Oc1ccccc1']; [0.993261755]
-Fc1ccc(Cc2coc3ccccc23)cc1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2coc3ccccc23)c1; ['Fc1cc(F)cc(CBr)c1']; ['c1ccc2occc2c1']; [0.860205173]
-c1ccc2c(-c3coc4ccccc34)ccnc2c1; ['Brc1coc2ccccc12']; ['OB(O)c1ccnc2ccccc12']; [0.996303082]
-c1cncc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12']; ['OB(O)c1cccnc1']; [0.999424577]
-c1ccc2c(-c3cc[nH]n3)coc2c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12', 'FC(F)(F)c1cccc(Br)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'c1ccc2occc2c1']; [0.999910235, 0.999910235]
-Brc1ccccc1-c1coc2ccccc12; ['O=C(O)C=Cc1ccccc1Br']; ['Oc1ccccc1']; [0.904796481]
-Fc1ccccc1-c1coc2ccccc12; ['O=[N+]([O-])C=Cc1ccccc1F']; ['Oc1ccccc1']; [0.893420935]
-N#Cc1ccccc1-c1coc2ccccc12; ['Brc1coc2ccccc12']; ['N#Cc1ccccc1B(O)O']; [0.981945932]
-FC(F)(F)Oc1ccccc1-c1coc2ccccc12; ['Brc1coc2ccccc12', 'O=C(O)C=Cc1ccccc1OC(F)(F)F']; ['OB(O)c1ccccc1OC(F)(F)F', 'Oc1ccccc1']; [0.9961707, 0.9961707]
-c1ccc(Cn2cc(-c3coc4ccccc34)cn2)cc1; ['Brc1coc2ccccc12']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; [0.999993563]
-NC(=O)c1ccccc1-c1coc2ccccc12; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3coc4ccccc34)[nH]2)cc1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1coc2ccccc12; [None]; [None]; [0]
-OCCn1cc(-c2coc3ccccc23)cn1; [None]; [None]; [0]
-c1ccc2c(-c3ccc4c(c3)CCC4)coc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2coc3ccccc23)s1; ['Brc1coc2ccccc12']; ['Cc1csc(C)n1']; [0.991214275]
-O=C(Nc1cccc(-c2coc3ccccc23)c1)c1ccccc1; [None]; [None]; [0]
-c1ccc2c(-c3cnc4ccccn34)coc2c1; ['Brc1coc2ccccc12']; ['c1ccn2ccnc2c1']; [0.995086849]
-Cc1ccc(-c2coc3ccccc23)c(Br)c1; [None]; [None]; [0]
-CC(C)(C)Nc1coc2ccccc12; ['Brc1coc2ccccc12']; ['CC(C)(C)N']; [0.950434625]
-c1ccc2c(-c3cnc4cccnn34)coc2c1; ['Brc1coc2ccccc12']; ['c1cnn2ccnc2c1']; [0.994547]
-Clc1cccc(-c2coc3ccccc23)c1Cl; ['O=C(O)C=Cc1cccc(Cl)c1Cl']; ['Oc1ccccc1']; [0.997787]
-Cc1nc(N)sc1-c1coc2ccccc12; [None]; [None]; [0]
-c1ccc2c(OC3CCCCC3)coc2c1; ['Cc1ccc(S(=O)(=O)OC2CCCCC2)cc1', 'OC1CCCCC1']; ['Oc1coc2ccccc12', 'Oc1coc2ccccc12']; [0.992180467, 0.992180467]
-Cc1ccc(Cl)c(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.985251784]
-c1ccc2cc(-c3coc4ccccc34)ccc2c1; ['Brc1coc2ccccc12', 'O=C(O)C=Cc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'Oc1ccccc1']; [0.9998945, 0.9998945]
-COc1cccc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12', 'COc1cccc(C=CC(=O)O)c1']; ['COc1cccc(B(O)O)c1', 'Oc1ccccc1']; [0.9995628, 0.9995628]
-c1cncc(Nc2coc3ccccc23)c1; ['Brc1coc2ccccc12']; ['Nc1cccnc1']; [0.993422]
-C[C@H](CO)Nc1coc2ccccc12; [None]; [None]; [0]
-CC(C)COc1coc2ccccc12; ['CC(C)CO', 'CC(C)CBr', 'CC(C)CI']; ['Oc1coc2ccccc12', 'Oc1coc2ccccc12', 'Oc1coc2ccccc12']; [0.998207927, 0.998207927, 0.998207927]
-c1cncc(CNc2coc3ccccc23)c1; ['Brc1coc2ccccc12']; ['NCc1cccnc1']; [0.998088062]
-Clc1ccc(-c2coc3ccccc23)s1; ['Brc1coc2ccccc12']; ['Clc1cccs1']; [0.98665905]
-O=C(Nc1coc2ccccc12)c1cccs1; [None]; [None]; [0]
-c1ccc2c(c1)ncn2-c1coc2ccccc12; ['Brc1coc2ccccc12']; ['c1ccc2[nH]cnc2c1']; [0.945514798]
-c1ccc2c(-c3coc4ccccc34)cncc2c1; ['Brc1coc2ccccc12']; ['OB(O)c1cncc2ccccc12']; [0.992359459]
-Oc1cccc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12']; ['OB(O)c1cccc(O)c1']; [0.998455882]
-Cn1cncc1-c1coc2ccccc12; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1coc2ccccc12; [None]; [None]; [0]
-c1coc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12']; ['OB(O)c1ccco1']; [0.9971084]
-N#CCCc1cccc(-c2coc3ccccc23)c1; [None]; [None]; [0]
-OCc1cccc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12']; ['OCc1cccc(B(O)O)c1']; [0.996114]
-CC(C)Nc1coc2ccccc12; ['Brc1coc2ccccc12']; ['CC(C)N']; [0.98078227]
-CCC(=O)Nc1ccc(-c2coc3ccccc23)cc1; [None]; [None]; [0]
-Fc1ccc(-c2coc3ccccc23)c(C(F)(F)F)c1; ['O=C(O)C=Cc1ccc(F)cc1C(F)(F)F']; ['Oc1ccccc1']; [0.994973421]
-CC(=O)Nc1cccc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12']; ['CC(=O)Nc1cccc(B(O)O)c1']; [0.999493718]
-COc1ccc(-c2coc3ccccc23)cc1Cl; ['COc1ccc(C=CC(=O)O)cc1Cl']; ['Oc1ccccc1']; [0.995719373]
-CCCn1cc(-c2coc3ccccc23)cn1; ['Brc1coc2ccccc12']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999990225]
-CCC(=O)Nc1coc2ccccc12; [None]; [None]; [0]
-Cc1cc(-c2coc3ccccc23)no1; [None]; [None]; [0]
-CCOC(=O)Cc1coc2ccccc12; ['CCO']; ['N#CCc1coc2ccccc12']; [0.995833]
-c1ccc2c(-c3cnoc3)coc2c1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3coc4ccccc34)c21; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2coc3ccccc23)cc1; ['Brc1coc2ccccc12']; ['CS(=O)c1ccc(B(O)O)cc1']; [0.99533]
-CC(C)(N)c1ccc(-c2coc3ccccc23)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3coc4ccccc34)cc12; [None]; [None]; [0]
-c1ccc2c(-c3coc4ccccc34)c[nH]c2c1; [None]; [None]; [0]
-c1ccc2ncc(Nc3coc4ccccc34)cc2c1; [None]; [None]; [0]
-CCN(CC)c1coc2ccccc12; [None]; [None]; [0]
-COc1ccncc1Nc1coc2ccccc12; ['Brc1coc2ccccc12']; ['COc1ccncc1N']; [0.990271747]
-c1ccc2c(-c3c[nH]c4cnccc34)coc2c1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2coc3ccccc23)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1coc2ccccc12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2coc3ccccc23)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2coc3ccccc23)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1coc2ccccc12; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2coc3ccccc23)CC1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1coc2ccccc12; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1coc2ccccc12; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1coc2ccccc12; ['Brc1coc2ccccc12']; ['c1ccc2[nH]ncc2c1']; [0.97591871]
-c1ccc2c(Cc3ccncc3)coc2c1; [None]; [None]; [0]
-Oc1ncccc1-c1coc2ccccc12; [None]; [None]; [0]
-c1ccc2c(OC3CCOCC3)coc2c1; ['OC1CCOCC1']; ['Oc1coc2ccccc12']; [0.996168673]
-Oc1ccc2nc(-c3coc4ccccc34)[nH]c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2coc3ccccc23)cc1; ['Brc1coc2ccccc12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999221921]
-COc1ccc(-c2coc3ccccc23)c(OC)c1; ['COc1ccc(C=CC(=O)O)c(OC)c1', 'COc1ccc(C=C[N+](=O)[O-])c(OC)c1']; ['Oc1ccccc1', 'Oc1ccccc1']; [0.996776879, 0.996776879]
-Cc1cncc(-c2coc3ccccc23)n1; ['Brc1coc2ccccc12']; ['Cc1cnccn1']; [0.818192124]
-Nc1nnc(-c2coc3ccccc23)s1; [None]; [None]; [0]
-Nc1ncc(-c2coc3ccccc23)s1; [None]; [None]; [0]
-Nc1nc(-c2coc3ccccc23)nc2ccccc12; [None]; [None]; [0]
-c1cc(-c2coc3ccccc23)c2sccc2c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1coc2ccccc12; ['Brc1coc2ccccc12', 'COc1cccc(F)c1Br']; ['COc1cccc(F)c1B(O)O', 'c1ccc2occc2c1']; [0.999141455, 0.999141455]
-c1cncc(Cc2coc3ccccc23)c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1coc2ccccc12; [None]; [None]; [0]
-CC(C)(C)CNc1coc2ccccc12; ['Brc1coc2ccccc12']; ['CC(C)(C)CN']; [0.999603331]
-c1cnc2c(-c3coc4ccccc34)c[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)Oc1coc2ccccc12; ['C=C(C)C']; ['Oc1coc2ccccc12']; [0.965490162]
-Cc1cc(C)cc(-c2coc3ccccc23)c1; ['Brc1coc2ccccc12', 'Cc1cc(C)cc(Br)c1']; ['Cc1cc(C)cc(B(O)O)c1', 'c1ccc2occc2c1']; [0.998957515, 0.998957515]
-C[C@@]1(O)CC[C@H](c2coc3ccccc23)CC1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(c4coc5ccccc45)CC3)nc2c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2coc3ccccc23)c1; ['COc1ccc(OC)c(C=CC(=O)O)c1']; ['Oc1ccccc1']; [0.979928136]
-CCOc1ccccc1-c1ccc(O)c(C)c1; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O']; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; [0.999754846, 0.999754846]
-CNC(=O)c1ccccc1-c1ccc(O)c(C)c1; [None]; [None]; [0]
-Cc1cc(Cc2cc(F)cc(F)c2)ccc1O; ['Cc1ccccc1O', 'Cc1ccccc1O', 'Cc1ccccc1O', 'Cc1cc(Br)ccc1O']; ['Fc1cc(F)cc(CCl)c1', 'OCc1cc(F)cc(F)c1', 'Fc1cc(F)cc(CBr)c1', 'Fc1cc(F)cc(CCl)c1']; [0.994855404, 0.994855404, 0.994855404, 0.994855404]
-Cc1cc(-c2ccnc3ccccc23)ccc1O; ['Cc1cc(Br)ccc1O']; ['OB(O)c1ccnc2ccccc12']; [0.884653091]
-C1=C(c2c[nH]c3ccccc23)CCN(c2coc3ccccc23)C1; ['Brc1coc2ccccc12']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.977970898]
-Cc1cc(-c2cccc(C(F)(F)F)c2)ccc1O; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Br)ccc1O']; ['Cc1cc(Br)ccc1O', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc([Mg]Br)c1']; [0.999975801, 0.999975801, 0.999975801, 0.999975801]
-Cc1cc(-c2cccnc2)ccc1O; ['CC1(C)OB(c2cccnc2)OC1(C)C', 'Br[Zn]c1cccnc1', 'Cc1cc(Br)ccc1O']; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'OB(O)c1cccnc1']; [0.999861598, 0.999861598, 0.999861598]
-Cc1cc(-c2ccccc2Cl)ccc1O; ['Cc1ccccc1O']; ['Clc1ccccc1I']; [0.844313264]
-Cc1cc([C@@H]2C[C@H](O)C2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccccc2Br)ccc1O; ['Cc1cc(Br)ccc1O']; ['OB(O)c1ccccc1Br']; [0.973811865]
-Cc1cc(-c2ccccc2OC(F)(F)F)ccc1O; ['Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O']; ['OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999831557, 0.999831557]
-Cc1cc(-c2ccccc2C(N)=O)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cc[nH]n2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2c(F)cccc2F)ccc1O; ['Cc1cc(I)ccc1O']; ['OB(O)c1c(F)cccc1F']; [0.99830097]
-Cc1cc(-c2ccccc2F)ccc1O; ['Cc1cc(I)ccc1O']; ['OB(O)c1ccccc1F']; [0.999274194]
-Cc1cc(-c2ccccc2C#N)ccc1O; ['CC1(C)OB(c2ccccc2C#N)OC1(C)C', 'Cc1cc(Br)ccc1O']; ['Cc1cc(Br)ccc1O', 'N#Cc1ccccc1B(O)O']; [0.999856353, 0.999856353]
-Cc1cc(-c2cnc(-c3ccccc3)[nH]2)ccc1O; [None]; [None]; [0]
-Cc1cc([C@@H](N)c2ccco2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cnn(CCO)c2)ccc1O; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Cc1cc(Br)ccc1O']; [0.999978662]
-Cc1cc(-c2cnn(Cc3ccccc3)c2)ccc1O; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Cc1cc(Br)ccc1O']; [0.999911427]
-Cc1ccc(-c2ccc(O)c(C)c2)c(Br)c1; []; []; []
-Cc1cc(-c2ccncn2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)CCC3)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cnc3ccccn23)ccc1O; ['Cc1cc(I)ccc1O', 'Cc1ccccc1O']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999288678, 0.999288678]
-Cc1nc(C)c(-c2ccc(O)c(C)c2)s1; ['Cc1cc(Br)ccc1O']; ['Cc1csc(C)n1']; [0.896541595]
-Cc1cc(-c2cccc(NC(=O)c3ccccc3)c2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cnc3cccnn23)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cnco2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2c(Cl)cccc2Cl)ccc1O; ['Cc1cc(Br)ccc1O']; ['OB(O)c1c(Cl)cccc1Cl']; [0.992017031]
-Cc1cc(OC2CCCCC2)ccc1O; ['Cc1cc(O)ccc1O']; ['OC1CCCCC1']; [0.97781688]
-Cc1ccc(Cl)c(-c2ccc(O)c(C)c2)c1; ['Cc1cc(Br)ccc1O', 'Cc1cc(Br)ccc1O']; ['Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c([Mg]Br)c1']; [0.991058767, 0.991058767]
-Cc1cc(NCc2cccnc2)ccc1O; ['Cc1cc(N)ccc1O']; ['O=Cc1cccnc1']; [0.95946759]
-Cc1cc(-c2sc(N)nc2C)ccc1O; [None]; [None]; [0]
-Cc1cc(NC(C)(C)C)ccc1O; [None]; [None]; [0]
-Cc1ncc(-c2ccc(O)c(C)c2)[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cccc(Cl)c2Cl)ccc1O; ['Cc1cc(Br)ccc1O']; ['OB(O)c1cccc(Cl)c1Cl']; [0.997705758]
-COc1cccc(-c2ccc(O)c(C)c2)c1; ['COc1cccc(B(O)O)c1', 'COc1cccc(B(O)O)c1']; ['Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O']; [0.999804556, 0.999804556]
-Cc1cc(Nc2cccnc2)ccc1O; ['Cc1cc(N)ccc1O']; ['Clc1cccnc1']; [0.990273058]
-Cc1cc(-c2ccc3ccccc3c2)ccc1O; ['Cc1cc(Br)ccc1O']; ['OB(O)c1ccc2ccccc2c1']; [0.999264538]
-Cc1cc(-c2ccnc(N)n2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc(Cl)s2)ccc1O; ['Cc1cc(I)ccc1O']; ['OB(O)c1ccc(Cl)s1']; [0.999744594]
-Cc1cc(OCC(C)C)ccc1O; ['CC(C)CI']; ['Cc1cc(O)ccc1O']; [0.892382443]
-Cc1cc(N[C@H](C)CO)ccc1O; ['CC(=O)CO']; ['Cc1cc(N)ccc1O']; [0.881060123]
-Cc1cc(NC(=O)c2cccs2)ccc1O; ['Cc1cc(N)ccc1O', 'Cc1cc(Br)ccc1O']; ['O=C(O)c1cccs1', 'NC(=O)c1cccs1']; [0.999958277, 0.999958277]
-Cc1cc(-n2cnc3ccccc32)ccc1O; ['Cc1cc(Br)ccc1O']; ['c1ccc2[nH]cnc2c1']; [0.988637626]
-Cc1cc(-c2cncc3ccccc23)ccc1O; ['Br[Zn]c1cncc2ccccc12']; ['Cc1cc(I)ccc1O']; [0.995494127]
-Cc1cc(-c2cccc(O)c2)ccc1O; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; ['OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1']; [0.999145508, 0.999145508]
-Cc1cc(Nc2ccncc2)ccc1O; ['Cc1cc(N)ccc1O']; ['Clc1ccncc1']; [0.984730959]
-Cc1cc(O[C@H](C)[C@@H](C)O)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cncn2C)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccco2)ccc1O; ['Cc1cc(Br)ccc1O']; ['OB(O)c1ccco1']; [0.999194801]
-Cc1cc(-c2cccc(CO)c2)ccc1O; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; ['OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1']; [0.997861207, 0.997861207]
-Cc1cc(-c2cccs2)ccc1O; ['Cc1cc(I)ccc1O', 'CC1(C)OB(c2cccs2)OC1(C)C', 'Cc1cc(Br)ccc1O']; ['OB(O)c1cccs1', 'Cc1cc(Br)ccc1O', 'OB(O)c1cccs1']; [0.999363363, 0.999363363, 0.999363363]
-Cc1cc(-c2cnn(C)c2)ccc1O; ['Cc1cc(Br)ccc1O']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999928355]
-Cc1cc(NC(C)C)ccc1O; ['CC(C)=O']; ['Cc1cc(N)ccc1O']; [0.968615234]
-Cc1cc(-c2cccc(CCC#N)c2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc(F)cc2C(F)(F)F)ccc1O; ['Cc1cc(I)ccc1O', 'Cc1ccccc1O', 'Cc1ccc(C(=O)O)cc1O']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1']; [0.999805868, 0.999805868, 0.999805868]
-CC(=O)Nc1cccc(-c2ccc(O)c(C)c2)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O']; [0.999309421, 0.999309421]
-CCC(=O)Nc1ccc(-c2ccc(O)c(C)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(O)c(C)c2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl', 'COc1ccccc1Cl']; ['Cc1cc(I)ccc1O', 'Cc1cc(N)ccc1O']; [0.999619365, 0.999619365]
-CCC(=O)Nc1ccc(O)c(C)c1; ['CCC(=O)OC(=O)CC']; ['Cc1cc(N)ccc1O']; [0.986599088]
-CCCn1cc(-c2ccc(O)c(C)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O']; [0.999990106, 0.999990106]
-Cc1cc(-c2ccc(O)c(C)c2)no1; [None]; [None]; [0]
-CCOC(=O)Cc1ccc(O)c(C)c1; []; []; []
-Cc1cc(-c2cnoc2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cccc3c2C(=O)CC3)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(C)(C)N)cc2)ccc1O; [None]; [None]; [0]
-CCN(CC)c1ccc(O)c(C)c1; []; []; []
-Cc1cc(-c2cc3c(=O)[nH]ccc3o2)ccc1O; [None]; [None]; [0]
-COc1ccncc1Nc1ccc(O)c(C)c1; ['COc1ccncc1Br']; ['Cc1cc(N)ccc1O']; [0.999775827]
-Cc1cc(-c2ccc([S@](C)=O)cc2)ccc1O; ['CS(=O)c1ccc(B(O)O)cc1']; ['Cc1cc(Br)ccc1O']; [0.986364961]
-Cc1cc(Nc2cnc3ccccc3c2)ccc1O; ['Cc1cc(Br)ccc1O']; ['Nc1cnc2ccccc2c1']; [0.993702173]
-Cc1cc([C@@H]2CCCN(C(=O)CC#N)C2)ccc1O; [None]; [None]; [0]
-Cc1cc([C@H](CO)Cc2ccccc2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c3ccccc23)ccc1O; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](CC#N)CC2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c3cnccc23)ccc1O; [None]; [None]; [0]
-Cc1cc([C@H]2COCC[C@@H]2C#N)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc(S(C)(=O)=O)cc2)ccc1O; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1cc(I)ccc1O']; [0.999844313]
-Cc1cc([C@@H]2CC[C@@H](C#N)CC2)ccc1O; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc(O)c(C)c2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)ccc1O; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1cc(I)ccc1O']; [0.999700069]
-Cc1cc(-n2ncc3ccccc32)ccc1O; ['Cc1cc(Br)ccc1O']; ['c1ccc2[nH]ncc2c1']; [0.972641945]
-Cc1cc(-n2ncc3c(O)cccc32)ccc1O; [None]; [None]; [0]
-Cc1cc(Cc2ccncc2)ccc1O; ['Cc1ccccc1O', 'Cc1ccccc1O']; ['OCc1ccncc1', 'ClCc1ccncc1']; [0.926107764, 0.926107764]
-Cc1cc(-c2cccc(F)c2C(N)=O)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2nc3ccc(O)cc3[nH]2)ccc1O; [None]; [None]; [0]
-Cc1cc(OC2CCOCC2)ccc1O; ['Cc1cc(O)ccc1O']; ['OC1CCOCC1']; [0.948182344]
-Cc1cc(-c2ccc(C(=O)c3ccccc3)cc2)ccc1O; ['Cc1cc(I)ccc1O']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999848366]
-Cc1cc(-c2cccnc2O)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)s2)ccc1O; ['CC(=O)c1ccc(O)c(C)c1']; ['NC(N)=S']; [0.995959818]
-Cc1cc(-c2nnc(N)s2)ccc1O; ['Cc1cc(C(=O)O)ccc1O']; ['NNC(N)=S']; [0.999797285]
-COc1ccc(-c2ccc(O)c(C)c2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; [0.999853969, 0.999853969]
-COc1cccc(F)c1-c1ccc(O)c(C)c1; ['COc1cccc(F)c1B(O)O']; ['Cc1cc(I)ccc1O']; [0.999947906]
-Cc1cc(-n2ccnc2)ccc1O; ['Cc1cc(Br)ccc1O']; ['c1c[nH]cn1']; [0.997305751]
-Cc1cc(-c2nc3ccccc3s2)ccc1O; ['Cc1cc(C=O)ccc1O']; ['Nc1ccccc1S']; [0.999931216]
-Cc1cncc(-c2ccc(O)c(C)c2)n1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c3cccnc23)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2nc(N)c3ccccc3n2)ccc1O; [None]; [None]; [0]
-Cc1cc(OC(C)(C)C)ccc1O; ['C=C(C)C']; ['Cc1cc(O)ccc1O']; [0.779042661]
-Cc1cc(-c2cccc3ccsc23)ccc1O; [None]; [None]; [0]
-Cc1cc(Cc2cccnc2)ccc1O; ['Cc1ccccc1O']; ['ClCc1cccnc1']; [0.811147153]
-COc1ccc(OC)c(-c2ccc(O)c(C)c2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Cc1cc(I)ccc1O']; [0.999043405]
-COc1ccc(C#N)cc1-c1ccc(O)c(C)c1; ['COc1ccc(C#N)cc1Br']; ['Cc1cc(Br)ccc1O']; [0.774418592]
-Cc1cc(NCC(C)(C)C)ccc1O; ['CC(C)(C)CI', 'CC(C)(C)CN']; ['Cc1cc(N)ccc1O', 'Cc1cc(I)ccc1O']; [0.958009958, 0.958009958]
-Cc1cc([C@H]2CC[C@@](C)(O)CC2)ccc1O; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc(O)c(C)c2)c1; ['Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(Br)ccc1O']; ['Cc1cc(I)ccc1O', 'Cc1cc(C)cc(B(O)O)c1']; [0.997083843, 0.997083843]
-Cc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)ccc1O; [None]; [None]; [0]
-Cc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)ccc1O; [None]; [None]; [0]
-CC(C)(C)NCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-N#Cc1ccc(NCCNCc2cccnc2)nc1; [None]; [None]; [0]
-N#Cc1ccc(NCCOC2CCCCC2)nc1; [None]; [None]; [0]
-N#Cc1ccc(NCCNc2cccnc2)nc1; [None]; [None]; [0]
-CC(C)COCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-N#Cc1ccc(NCCNc2ccncc2)nc1; ['N#Cc1ccc(F)nc1']; ['NCCNc1ccncc1']; [0.994709]
-C[C@H](CO)NCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-N#Cc1ccc(NCCNC(=O)c2cccs2)nc1; [None]; [None]; [0]
-CCN(CC)CCNc1ccc(C#N)cn1; ['CCN(CC)CCN', 'CCN(CC)CCCl', 'CCN(CC)CCN', 'CCN(CC)CCN']; ['N#Cc1ccc(Br)nc1', 'N#Cc1ccc(N)nc1', 'N#Cc1ccc(Cl)nc1', 'N#Cc1cccnc1']; [0.999926, 0.999926, 0.999926, 0.999926]
-CC(C)NCCNc1ccc(C#N)cn1; ['CC(C)NCCN']; ['N#Cc1ccc[n+]([O-])c1']; [0.998821914]
-C[C@@H](O)[C@@H](C)OCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-COc1ccncc1NCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-N#Cc1ccc(NCCOC2CCOCC2)nc1; [None]; [None]; [0]
-CCC(=O)NCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-N#Cc1ccc(NCCc2nc(N)c3ccccc3n2)nc1; [None]; [None]; [0]
-CC(C)(C)CNCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-N#Cc1ccc(NCCNc2cnc3ccccc3c2)nc1; [None]; [None]; [0]
-CC(C)(C)OCCNc1ccc(C#N)cn1; ['CC(C)(C)OCCN', 'CC(C)(C)OCCN']; ['N#Cc1ccc(Br)nc1', 'N#Cc1ccc(Cl)nc1']; [0.99998, 0.99998]
-N#Cc1ccc(NCCN2CC=C(c3c[nH]c4ccccc34)CC2)nc1; [None]; [None]; [0]
-CCOc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-N#Cc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-COc1ncccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-Cn1nncc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(=O)cc2O)cc(OC)c1OC; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c(=O)cc2O)cn1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cnc3cccnn23)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccc(O)c2)c[nH]1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=c1cc(O)c(-c2nc3ccccc3[nH]2)c[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2c[nH]c(=O)cc2O)sn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=c1cc(O)c(Nc2ncccn2)c[nH]1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=c1cc(O)c(Cc2nccc3ccccc23)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccc(F)c2)c[nH]1; [None]; [None]; [0]
-O=C(Nc1c[nH]c(=O)cc1O)C1CC1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(Cl)cc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccc(C3CCNCC3)c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(OCCO)cc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(Nc2ccncn2)c[nH]1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c(=O)cc2O)nn1C; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=c1cc(O)c(Cc2ccccc2O)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(C(F)(F)F)cc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(Cc2cccnc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(Cc2ccncc2)c[nH]1; [None]; [None]; [0]
-Cc1nc(C)c(-c2c[nH]c(=O)cc2O)s1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cncnc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cnc(Cl)nc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(C[C@H](O)CO)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-n2ccnc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(Br)cc2)c[nH]1; [None]; [None]; [0]
-COc1ccc(Cc2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cn[nH]c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2c[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc[nH]2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc3c(c2)CCO3)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(Cn2ccnc2)c[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(=O)cc2O)ccc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc3ccccc3cn2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2scc3c2OCCO3)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(F)c(F)c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccc3c2OCO3)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cnc3ccccc3c2)c[nH]1; [None]; [None]; [0]
-COCCOc1c[nH]c(=O)cc1O; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccco2)c[nH]1; [None]; [None]; [0]
-CC1(COc2c[nH]c(=O)cc2O)COC1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c(=O)cc2O)nc(N)n1; [None]; [None]; [0]
-O=c1cc(O)c([C@@H]2CC[C@@H](O)CC2)c[nH]1; [None]; [None]; [0]
-CSc1cccc(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-O=c1cc(O)c([C@H](CO)Cc2ccccc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c([C@H]2CC[C@@H](O)C2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(F)cc2Cl)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ncc(Br)cn2)c[nH]1; [None]; [None]; [0]
-CCc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c(=O)cc2O)cc1OC; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccsc2)c[nH]1; [None]; [None]; [0]
-COc1ccc(CNc2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(Cl)cc2Cl)c[nH]1; [None]; [None]; [0]
-COc1ccc2cccc(-c3c[nH]c(=O)cc3O)c2c1; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c(=O)cc2O)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(=O)cc2O)ccc1Cl; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccc3ccc(O)cc23)c[nH]1; [None]; [None]; [0]
-COc1cc(F)c(-c2c[nH]c(=O)cc2O)cc1OC; [None]; [None]; [0]
-Cc1nc(Nc2c[nH]c(=O)cc2O)sc1C; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c(=O)cc2O)o1; [None]; [None]; [0]
-Cc1cc(Nc2c[nH]c(=O)cc2O)nn1C; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(=O)cc2O)c(OC)cc1Br; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc3cn[nH]c3c2)c[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc3ccccc3o2)c[nH]1; [None]; [None]; [0]
-CC(C)Oc1c[nH]c(=O)cc1O; [None]; [None]; [0]
-CCn1cc(-c2c[nH]c(=O)cc2O)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(OC(F)(F)F)cc2)c[nH]1; [None]; [None]; [0]
-COC(=O)Nc1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cscn2)c[nH]1; [None]; [None]; [0]
-CCc1cccc(-c2c[nH]c(=O)cc2O)n1; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c(=O)cc2O)nc1C; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(CCO)cc2)c[nH]1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(Nc2ccccn2)c[nH]1; ['Nc1ccccn1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.995330751]
-O=c1cc(O)c(Nc2ccc(F)cn2)c[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(O)cc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccncc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccc3ncccc23)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2n[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(Cl)c(O)c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2c(F)cccc2F)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(Oc2ccc(F)cc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2c(Cl)cccc2Cl)c[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2c[nH]c(=O)cc2O)n1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(O)cc2Cl)c[nH]1; [None]; [None]; [0]
-Cc1ncc(-c2c[nH]c(=O)cc2O)[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc[nH]c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccccc2Cl)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c([C@@H]2C[C@H](O)C2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cnccn2)c[nH]1; [None]; [None]; [0]
-N#Cc1cnc(-c2c[nH]c(=O)cc2O)cn1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2c[nH]c(=O)cc2O)o1; [None]; [None]; [0]
-COc1cc(CCc2c[nH]c(=O)cc2O)ccc1O; [None]; [None]; [0]
-N#Cc1ccc(-c2c[nH]c(=O)cc2O)cn1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccoc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccc(Br)c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(CCCO)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(COc2cccc(Cl)c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(O)cc2O)c[nH]1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccs2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(COc2ccccc2Cl)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(F)c(Cl)c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccncn2)c[nH]1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c(=O)cc2O)cc1C; [None]; [None]; [0]
-O=c1cc(O)c([C@H](CO)c2ccccc2)c[nH]1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cnc(O)c(Cl)c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc(O)ccc2Cl)c[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3c[nH]c(=O)cc3O)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=c1cc(O)c(Cn2ccccc2=O)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2nc3ccccc3s2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cncc(O)c2)c[nH]1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=C1Cc2cc(-c3c[nH]c(=O)cc3O)ccc2N1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc(Cl)c(O)c(Cl)c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2nccs2)c[nH]1; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c(=O)cc2O)[nH]n1; [None]; [None]; [0]
-CCc1sccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc3[nH]c(=O)[nH]c3c2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc3c(c2)CCN3)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(Nc2ccncc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(Br)cc2F)c[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc(O)cc(Br)c2)c[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c(=O)cc2O)c(C)n1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc(F)c(O)c(F)c2)c[nH]1; [None]; [None]; [0]
-Cc1csc(-c2c[nH]c(=O)cc2O)n1; [None]; [None]; [0]
-Cc1nc2ccc(-c3c[nH]c(=O)cc3O)cc2o1; [None]; [None]; [0]
-O=c1cc(O)c(Oc2ccc(F)cc2F)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cnco2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(OCc2ccccc2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(NCc2c(F)cccc2Cl)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(Cc2ccc(F)cc2)c[nH]1; [None]; [None]; [0]
-c1cc2c(Nc3ccncc3)ncnn2c1; ['Ic1ccncc1']; ['Nc1ncnn2cccc12']; [0.998525321]
-O=c1cc(O)c(-c2ccc3c(=O)[nH][nH]c3c2)c[nH]1; [None]; [None]; [0]
-Cn1cc(Nc2ncnn3cccc23)cn1; ['Cn1cc(Br)cn1']; ['Nc1ncnn2cccc12']; [0.99285686]
-O=c1cc(O)c(Oc2ccccc2F)c[nH]1; [None]; [None]; [0]
-Oc1ccc(Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
-c1cc2c(Nc3cn[nH]c3)ncnn2c1; [None]; [None]; [0]
-Oc1cc(Nc2ncnn3cccc23)ccc1Cl; [None]; [None]; [0]
-c1cc(Nc2ncnn3cccc23)c2cccnc2c1; ['Brc1cccc2ncccc12']; ['Nc1ncnn2cccc12']; [0.999949098]
-Fc1cccc(F)c1Nc1ncnn2cccc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2ncnn3cccc23)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncnn2cccc12']; [0.989180088]
-c1ccc2c(Nc3ncnn4cccc34)n[nH]c2c1; [None]; [None]; [0]
-NC(=O)c1ccc(Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
-Nc1nccc(Nc2ncnn3cccc23)n1; ['Nc1nccc(Cl)n1']; ['Nc1ncnn2cccc12']; [0.962695837]
-Oc1ccc(Nc2ncnn3cccc23)c(Cl)c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1Nc1ncnn2cccc12; [None]; [None]; [0]
-O[C@H]1C[C@@H](Nc2ncnn3cccc23)C1; [None]; [None]; [0]
-Cc1ncc(Nc2ncnn3cccc23)[nH]1; [None]; [None]; [0]
-c1cc2c(Nc3cc[nH]c3)ncnn2c1; [None]; [None]; [0]
-COc1cc(Nc2ncnn3cccc23)ccc1O; [None]; [None]; [0]
-N#Cc1cnc(Nc2ncnn3cccc23)cn1; ['N#Cc1cnc(Cl)cn1']; ['Nc1ncnn2cccc12']; [0.999975085]
-Clc1ccccc1Nc1ncnn2cccc12; ['Clc1ccccc1I']; ['Nc1ncnn2cccc12']; [0.99924767]
-OC[C@H](O)CNc1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(Nc3cnccn3)ncnn2c1; ['Brc1cnccn1']; ['Nc1ncnn2cccc12']; [0.999993443]
-C[C@@H](O)CNc1ncnn2cccc12; [None]; [None]; [0]
-N#Cc1ccc(Nc2ncnn3cccc23)cn1; ['N#Cc1ccc(Br)cn1']; ['Nc1ncnn2cccc12']; [0.999747217]
-COC(=O)c1ccc(Nc2ncnn3cccc23)o1; [None]; [None]; [0]
-N#Cc1ccc(Nc2ncnn3cccc23)cc1; ['N#Cc1ccc(I)cc1']; ['Nc1ncnn2cccc12']; [0.99992466]
-Brc1cccc(Nc2ncnn3cccc23)c1; ['Brc1cccc(I)c1']; ['Nc1ncnn2cccc12']; [0.99963522]
-c1cc2c(Nc3ccoc3)ncnn2c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(Nc2ncnn3cccc23)c1; ['COC(=O)c1ccc(Cl)c(I)c1']; ['Nc1ncnn2cccc12']; [0.99998641]
-Oc1ccc(Nc2ncnn3cccc23)c(O)c1; [None]; [None]; [0]
-Fc1ccc(Nc2ncnn3cccc23)cc1Cl; ['Fc1ccc(I)cc1Cl']; ['Nc1ncnn2cccc12']; [0.999686]
-c1csc(Nc2ncnn3cccc23)c1; [None]; [None]; [0]
-c1cc2c(Nc3ccncn3)ncnn2c1; ['Clc1ccncn1']; ['Nc1ncnn2cccc12']; [0.998740256]
-Clc1ccccc1OCNc1ncnn2cccc12; [None]; [None]; [0]
-Cc1ccc(Nc2ncnn3cccc23)cc1C; ['Cc1ccc(Br)cc1C', 'Cc1ccc(I)cc1C']; ['Nc1ncnn2cccc12', 'Nc1ncnn2cccc12']; [0.9999, 0.9999]
-Oc1ccc(Cl)c(Nc2ncnn3cccc23)c1; [None]; [None]; [0]
-Cc1ccc(O)cc1Nc1ncnn2cccc12; [None]; [None]; [0]
-COc1cc(Nc2ncnn3cccc23)cc(OC)c1; ['COc1cc(I)cc(OC)c1']; ['Nc1ncnn2cccc12']; [0.995471478]
-Oc1ncc(Nc2ncnn3cccc23)cc1Cl; [None]; [None]; [0]
-Cc1ccc(CO)cc1Nc1ncnn2cccc12; [None]; [None]; [0]
-COc1ccc(Nc2ncnn3cccc23)cc1OC; ['COc1ccc(Br)cc1OC']; ['Nc1ncnn2cccc12']; [0.999432147]
-NC(=O)Nc1ccc(Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
-Cc1nc2ccc(Nc3ncnn4cccc34)cc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
-Oc1cncc(Nc2ncnn3cccc23)c1; [None]; [None]; [0]
-c1ccc2sc(Nc3ncnn4cccc34)nc2c1; ['Clc1nc2ccccc2s1']; ['Nc1ncnn2cccc12']; [0.999997497]
-O=C1Cc2cc(Nc3ncnn4cccc34)ccc2N1; [None]; [None]; [0]
-CCc1cc(O)ccc1Nc1ncnn2cccc12; [None]; [None]; [0]
-NC(=O)[C@@H]1CC[C@H](Nc2ncnn3cccc23)CC1; [None]; [None]; [0]
-Cc1cc(O)ccc1Nc1ncnn2cccc12; [None]; [None]; [0]
-CCc1sccc1Nc1ncnn2cccc12; [None]; [None]; [0]
-Cc1cccc(C)c1Nc1ncnn2cccc12; [None]; [None]; [0]
-Oc1c(Cl)cc(Nc2ncnn3cccc23)cc1Cl; [None]; [None]; [0]
-c1cc2c(Nc3ccc4c(c3)CCN4)ncnn2c1; ['Brc1ccc2c(c1)CCN2']; ['Nc1ncnn2cccc12']; [0.996935368]
-c1cc2c(Nc3nccs3)ncnn2c1; [None]; [None]; [0]
-Fc1cc(Br)ccc1Nc1ncnn2cccc12; ['Fc1cc(Br)ccc1I']; ['Nc1ncnn2cccc12']; [0.999978423]
-Nc1cc(Nc2ncnn3cccc23)[nH]n1; [None]; [None]; [0]
-O=c1[nH]c2ccc(Nc3ncnn4cccc34)cc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
-Cc1ccc(Nc2ncnn3cccc23)nc1C; [None]; [None]; [0]
-Cc1csc(Nc2ncnn3cccc23)n1; [None]; [None]; [0]
-c1cc2c(Nc3cnco3)ncnn2c1; [None]; [None]; [0]
-Cc1ccc(Nc2ncnn3cccc23)c(C)n1; [None]; [None]; [0]
-Oc1cc(Br)cc(Nc2ncnn3cccc23)c1; [None]; [None]; [0]
-Cc1nc2ccc(Nc3ncnn4cccc34)cc2o1; ['Cc1nc2ccc(Br)cc2o1']; ['Nc1ncnn2cccc12']; [0.998132169]
-O=c1[nH][nH]c2cc(Nc3ncnn4cccc34)ccc12; ['Nc1ncnn2cccc12']; ['O=c1[nH][nH]c2cc(Br)ccc12']; [0.999053299]
-CSc1cccc(Nc2ncnn3cccc23)c1; ['CSc1cccc(Br)c1']; ['Nc1ncnn2cccc12']; [0.987928212]
-c1cc(-c2ncco2)ccn1; ['Ic1ccncc1', 'Brc1ccncc1', 'Clc1ccncc1']; ['c1cocn1', 'c1cocn1', 'c1cocn1']; [0.999534488, 0.999534488, 0.999534488]
-Oc1c(F)cc(Nc2ncnn3cccc23)cc1F; [None]; [None]; [0]
-Oc1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-Fc1ccc(Nc2ncnn3cccc23)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1']; ['Nc1ncnn2cccc12']; [0.999980807]
-c1cc(-c2ncco2)c2cccnc2c1; ['Brc1cccc2ncccc12']; ['c1cocn1']; [0.954469383]
-CCc1ccc(-c2ncco2)cc1; ['CCc1ccc(Br)cc1']; ['c1cocn1']; [0.999214768]
-Oc1cc(-c2ncco2)ccc1Cl; [None]; [None]; [0]
-Cn1cc(-c2ncco2)cn1; [None]; [None]; [0]
-c1ccc2c(-c3ncco3)n[nH]c2c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ncco1; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1']; ['c1cocn1', 'c1cocn1']; [0.999037623, 0.999037623]
-CNS(=O)(=O)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-c1coc(-c2cn[nH]c2)n1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ncco1; ['Fc1cccc(F)c1Br']; ['c1cocn1']; [0.99976629]
-NC(=O)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-Oc1ccc(-c2ncco2)c(Cl)c1; [None]; [None]; [0]
-Fc1ccc(Oc2ncco2)cc1; [None]; [None]; [0]
-Cc1ncc(-c2ncco2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2ncco2)n1; [None]; [None]; [0]
-Clc1ccccc1-c1ncco1; ['Clc1ccccc1I']; ['c1cocn1']; [0.999684095]
-O[C@H]1C[C@@H](c2ncco2)C1; [None]; [None]; [0]
-c1coc(-c2cc[nH]c2)n1; [None]; [None]; [0]
-N#Cc1ccc(-c2ncco2)cc1; ['N#Cc1ccc(I)cc1', 'N#Cc1ccc(Br)cc1']; ['c1cocn1', 'c1cocn1']; [0.999763429, 0.999763429]
-N#Cc1cnc(-c2ncco2)cn1; [None]; [None]; [0]
-COc1cc(-c2ncco2)ccc1O; [None]; [None]; [0]
-c1coc(-c2ccoc2)n1; ['Brc1ccoc1']; ['c1cocn1']; [0.99978286]
-COC(=O)c1ccc(-c2ncco2)o1; [None]; [None]; [0]
-c1cnc(-c2ncco2)cn1; [None]; [None]; [0]
-COc1cc(CCc2ncco2)ccc1O; [None]; [None]; [0]
-N#Cc1ccc(-c2ncco2)cn1; ['N#Cc1ccc(Cl)cn1']; ['c1cocn1']; [0.996009707]
-Brc1cccc(-c2ncco2)c1; ['Brc1cccc(I)c1', 'Clc1cccc(Br)c1']; ['c1cocn1', 'c1cocn1']; [0.999726117, 0.999726117]
-Clc1cccc(OCc2ncco2)c1; [None]; [None]; [0]
-Oc1ccc(-c2ncco2)c(O)c1; [None]; [None]; [0]
-OCCCc1ncco1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ncco2)c1; ['COC(=O)c1ccc(Cl)c(I)c1']; ['c1cocn1']; [0.999142766]
-c1csc(-c2ncco2)c1; [None]; [None]; [0]
-Fc1ccc(-c2ncco2)cc1Cl; ['Fc1ccc(Br)cc1Cl', 'Fc1ccc(I)cc1Cl']; ['c1cocn1', 'c1cocn1']; [0.999998927, 0.999998927]
-Clc1ccccc1OCc1ncco1; [None]; [None]; [0]
-Cc1ccc(-c2ncco2)cc1C; ['Cc1ccc(Br)cc1C', 'Cc1ccc(I)cc1C', 'Cc1ccc(Cl)cc1C']; ['c1cocn1', 'c1cocn1', 'c1cocn1']; [0.999731481, 0.999731481, 0.999731481]
-c1cc(-c2ncco2)ncn1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ncco1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1ncco1; [None]; [None]; [0]
-Oc1ncc(-c2ncco2)cc1Cl; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ncco1; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2ncco2)c1; [None]; [None]; [0]
-COc1ccc(-c2ncco2)cc1OC; ['COc1ccc(Br)cc1OC']; ['c1cocn1']; [0.999753296]
-COc1cc(OC)cc(-c2ncco2)c1; ['COc1cc(I)cc(OC)c1']; ['c1cocn1']; [0.994953036]
-O=c1ccccn1Cc1ncco1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ncco2)cc1; ['CS(=O)(=O)c1ccc(Br)cc1']; ['c1cocn1']; [0.999585927]
-Oc1cncc(-c2ncco2)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ncco3)cc2[nH]1; [None]; [None]; [0]
-c1ccc2sc(-c3ncco3)nc2c1; ['c1ccc2scnc2c1']; ['c1cocn1']; [0.91598928]
-O=C1Cc2cc(-c3ncco3)ccc2N1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1ncco1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ncco2)CC1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ncco1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ncco1; [None]; [None]; [0]
-c1cn(-c2ncco2)cn1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ncco1; [None]; [None]; [0]
-CCc1sccc1-c1ncco1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2ncco2)cc1Cl; [None]; [None]; [0]
-c1coc(-c2nccs2)n1; [None]; [None]; [0]
-c1coc(-c2ccc3c(c2)CCN3)n1; [None]; [None]; [0]
-Nc1cc(-c2ncco2)[nH]n1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3ncco3)cc2[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ncco1; [None]; [None]; [0]
-c1cc(Nc2ncco2)ccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-Cc1csc(-c2ncco2)n1; ['Cc1cscn1']; ['c1cocn1']; [0.911734879]
-Fc1cc(Br)ccc1-c1ncco1; [None]; [None]; [0]
-Cc1ccc(-c2ncco2)nc1C; [None]; [None]; [0]
-Cc1ccc(-c2ncco2)c(C)n1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2ncco2)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ncco3)cc2o1; ['Cc1nc2ccc(Cl)cc2o1']; ['c1cocn1']; [0.959408224]
-Oc1c(F)cc(-c2ncco2)cc1F; [None]; [None]; [0]
-CSc1cccc(-c2ncco2)c1; [None]; [None]; [0]
-c1coc(-c2cnco2)n1; [None]; [None]; [0]
-c1ccc(COc2ncco2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2ncco2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1']; ['c1cocn1']; [0.999663591]
-O=c1[nH][nH]c2cc(-c3ncco3)ccc12; [None]; [None]; [0]
-Fc1ccccc1Oc1ncco1; [None]; [None]; [0]
-Fc1ccc(Oc2ncco2)c(F)c1; [None]; [None]; [0]
-CCOc1ccc(-c2ncco2)cc1; ['CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1']; ['c1cocn1', 'c1cocn1']; [0.997583747, 0.997583747]
-Fc1ccc(Cc2ncco2)cc1; ['Fc1ccc(CCl)cc1']; ['c1cocn1']; [0.996255398]
-Fc1cccc(Cl)c1CNc1ncco1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2ncco2)c1; [None]; [None]; [0]
-COc1ncccc1-c1ncco1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1ncco1; [None]; [None]; [0]
-COc1cc(-c2ncco2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC']; ['c1cocn1']; [0.999541402]
-Cc1nn(C)cc1-c1ncco1; [None]; [None]; [0]
-COc1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-Oc1cccc(-c2ncco2)c1; [None]; [None]; [0]
-Cn1nncc1-c1ncco1; [None]; [None]; [0]
-c1cnc(Nc2ncco2)nc1; ['Brc1ncccn1', 'Clc1ncccn1']; ['Nc1ncco1', 'Nc1ncco1']; [0.999106944, 0.999106944]
-c1cnn2c(-c3ncco3)cnc2c1; [None]; [None]; [0]
-Cc1cc(Nc2ncco2)sn1; [None]; [None]; [0]
-Fc1cccc(-c2ncco2)c1; ['Fc1cccc(I)c1', 'Fc1cccc(Cl)c1']; ['c1cocn1', 'c1cocn1']; [0.996211052, 0.996211052]
-c1ccc2[nH]c(-c3ncco3)nc2c1; [None]; [None]; [0]
-c1ccc2c(Cc3ncco3)nccc2c1; [None]; [None]; [0]
-Clc1ccc(-c2ncco2)cc1; ['Clc1ccc(Br)cc1']; ['c1cocn1']; [0.999818504]
-O=C(Nc1ccccc1)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-O=C(Nc1ncco1)C1CC1; ['Nc1ncco1']; ['O=C(Cl)C1CC1']; [0.975702167]
-c1cc(Nc2ncco2)ncn1; ['Clc1ccncn1']; ['Nc1ncco1']; [0.999538779]
-OCCOc1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2ncco2)cc1; ['FC(F)(F)c1ccc(I)cc1']; ['c1cocn1']; [0.999964833]
-c1cc(-c2ncco2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-Cc1cc(-c2ncco2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ncco2)s1; [None]; [None]; [0]
-c1cc(Cc2ncco2)ccn1; ['ClCc1ccncc1']; ['c1cocn1']; [0.996094763]
-Oc1ccccc1Cc1ncco1; [None]; [None]; [0]
-OC[C@@H](O)Cc1ncco1; [None]; [None]; [0]
-Brc1ccc(-c2ncco2)cc1; ['Brc1ccc(Br)cc1']; ['c1cocn1']; [0.998207569]
-Clc1ncc(-c2ncco2)cn1; [None]; [None]; [0]
-c1cncc(Cc2ncco2)c1; [None]; [None]; [0]
-COc1ccc(Cc2ncco2)cc1; [None]; [None]; [0]
-c1ncc(-c2ncco2)cn1; [None]; [None]; [0]
-c1ccc2c(-c3ncco3)c[nH]c2c1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1ncco1; ['COc1ccc(Cl)cc1I']; ['c1cocn1']; [0.997380316]
-c1c[nH]c(-c2ncco2)c1; [None]; [None]; [0]
-c1cn(Cc2ncco2)cn1; [None]; [None]; [0]
-c1coc(-c2ccc3c(c2)CCO3)n1; [None]; [None]; [0]
-c1ccc2cc(-c3ncco3)ncc2c1; [None]; [None]; [0]
-c1cc2c(c(-c3ncco3)c1)OCO2; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ncco2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ncco2)cc1; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1']; ['c1cocn1', 'c1cocn1']; [0.999706209, 0.999706209]
-c1coc(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
-c1ccc2ncc(-c3ncco3)cc2c1; ['Brc1cnc2ccccc2c1']; ['c1cocn1']; [0.999593318]
-Fc1ccc(-c2ncco2)cc1F; ['Fc1ccc(Br)cc1F']; ['c1cocn1']; [0.999998331]
-CC1(COc2ncco2)COC1; [None]; [None]; [0]
-c1coc(-c2ncco2)c1; [None]; [None]; [0]
-COCCOc1ncco1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ncco2)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ncco1; [None]; [None]; [0]
-Cc1cc(-c2ncco2)nc(N)n1; [None]; [None]; [0]
-COc1ccc(CNc2ncco2)cc1; ['COc1ccc(CN)cc1']; ['c1cocn1']; [0.972200096]
-Brc1cnc(-c2ncco2)nc1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2ncco2)C1; [None]; [None]; [0]
-Clc1ccc(-c2ncco2)c(Cl)c1; ['Clc1ccc(I)c(Cl)c1']; ['c1cocn1']; [0.999878764]
-c1coc(-c2ccsc2)n1; ['Clc1ccsc1']; ['c1cocn1']; [0.998788416]
-Cn1cc(-c2ncco2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ncco2)c1; ['Cc1cc(C)cc(I)c1']; ['c1cocn1']; [0.9997558]
-COc1ccc2cccc(-c3ncco3)c2c1; [None]; [None]; [0]
-Oc1ccc2cccc(-c3ncco3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2ncco2)cc1OC; ['COc1cc(F)c(F)cc1OC']; ['c1cocn1']; [0.995601296]
-COc1cc(-c2ncco2)ccc1Cl; ['COc1cc(Br)ccc1Cl']; ['c1cocn1']; [0.99995029]
-Cc1nc(Nc2ncco2)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2ncco2)nn1C; [None]; [None]; [0]
-Cc1ccc(-c2ncco2)o1; [None]; [None]; [0]
-c1coc(-c2ccc3cn[nH]c3c2)n1; ['Ic1ccc2cn[nH]c2c1']; ['c1cocn1']; [0.986607671]
-CC(C)Oc1ncco1; [None]; [None]; [0]
-COc1cc(-c2ncco2)c(OC)cc1Br; [None]; [None]; [0]
-COC(=O)Nc1ncco1; ['COC(=O)Cl']; ['Nc1ncco1']; [0.962671757]
-c1ccc2oc(-c3ncco3)cc2c1; [None]; [None]; [0]
-c1coc(-c2cscn2)n1; ['Brc1cscn1']; ['c1cocn1']; [0.971931875]
-CCn1cc(-c2ncco2)cn1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2ncco2)cc1; ['FC(F)(F)Oc1ccc(I)cc1']; ['c1cocn1']; [0.999998927]
-CCc1cccc(-c2ncco2)n1; [None]; [None]; [0]
-OCCc1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-c1ccc(Nc2ncco2)nc1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2ncco2)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1ncco1; [None]; [None]; [0]
-O=C1Nc2ccc(F)cc2C1=Cc1ccc[nH]1; ['O=C1Cc2cc(F)ccc2N1']; ['O=Cc1ccc[nH]1']; [1.0]
-Fc1ccc(Nc2ncco2)nc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2ncco2)c1; [None]; [None]; [0]
-O=C1Nc2ccc(F)cc2C1=Cc1ccccn1; ['O=C1Cc2cc(F)ccc2N1']; ['O=Cc1ccccn1']; [0.999927402]
-COc1ccc(C=C2C(=O)Nc3ccc(F)cc32)cc1OC; [None]; [None]; [0]
-O=C1Nc2ccc(F)cc2C1=Cc1cccs1; ['O=C1Cc2cc(F)ccc2N1']; ['O=Cc1cccs1']; [0.999999523]
-O=C1Nc2ccccc2C1=C1C(=O)Nc2ccc(F)cc21; ['O=C1Cc2ccccc2N1', 'O=C1Cc2cc(F)ccc2N1']; ['O=C1Nc2ccc(F)cc2C1=O', 'O=C1Nc2ccccc2C1=O']; [0.966920435, 0.966920435]
-N#Cc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)C=C1C(=O)Nc2ccc(F)cc21; [None]; [None]; [0]
-CCOc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-COc1ncccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-COc1cc(-c2cc3c(Cl)ccnc3[nH]2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1nncc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cc3c(Cl)ccnc3[nH]2)cn1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3nc4ccccc4[nH]3)cc12; [None]; [None]; [0]
-Oc1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-COc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(Nc3ncccn3)cc12; [None]; [None]; [0]
-Cc1cc(Nc2cc3c(Cl)ccnc3[nH]2)sn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-Fc1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(Cc3nccc4ccccc34)cc12; [None]; [None]; [0]
-O=C(Nc1cc2c(Cl)ccnc2[nH]1)C1CC1; [None]; [None]; [0]
-Clc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-OCCOc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cccc(C4CCNCC4)c3)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(Nc3ccncn3)cc12; [None]; [None]; [0]
-Cc1cc(-c2cc3c(Cl)ccnc3[nH]2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc3c(Cl)ccnc3[nH]2)s1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(Cc3ccncc3)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(Cc3cccnc3)cc12; [None]; [None]; [0]
-OC[C@@H](O)Cc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Clc1ncc(-c2cc3c(Cl)ccnc3[nH]2)cn1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cncnc3)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ccc(Br)cc3)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-n3ccnc3)cc12; [None]; [None]; [0]
-COc1ccc(Cc2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cn[nH]c3)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ccc[nH]3)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ccc4c(c3)CCO4)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(Cn3ccnc3)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cc4ccccc4cn3)cc12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-COc1cc(-c2cc3c(Cl)ccnc3[nH]2)ccc1O; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cccc4c3OCO4)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3scc4c3OCCO4)cc12; [None]; [None]; [0]
-Fc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1F; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-COCCOc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cnc4ccccc4c3)cc12; [None]; [None]; [0]
-CC1(COc2cc3c(Cl)ccnc3[nH]2)COC1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ccco3)cc12; [None]; [None]; [0]
-CSc1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-Cc1cc(-c2cc3c(Cl)ccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
-Fc1ccc(-c2cc3c(Cl)ccnc3[nH]2)c(Cl)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
-COc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1OC; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2cc3c(Cl)ccnc3[nH]2)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-CCc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ncc(Br)cn3)cc12; [None]; [None]; [0]
-Clc1ccc(-c2cc3c(Cl)ccnc3[nH]2)c(Cl)c1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ccsc3)cc12; [None]; [None]; [0]
-COc1ccc(CNc2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc4c(Cl)ccnc4[nH]3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2cc3c(Cl)ccnc3[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc3c(Cl)ccnc3[nH]2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cc3c(Cl)ccnc3[nH]2)ccc1Cl; [None]; [None]; [0]
-Oc1ccc2cccc(-c3cc4c(Cl)ccnc4[nH]3)c2c1; [None]; [None]; [0]
-Cc1cc(Nc2cc3c(Cl)ccnc3[nH]2)nn1C; [None]; [None]; [0]
-Cc1ccc(-c2cc3c(Cl)ccnc3[nH]2)o1; [None]; [None]; [0]
-Cc1nc(Nc2cc3c(Cl)ccnc3[nH]2)sc1C; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ccc4cn[nH]c4c3)cc12; [None]; [None]; [0]
-COc1cc(-c2cc3c(Cl)ccnc3[nH]2)c(OC)cc1Br; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cc4ccccc4o3)cc12; [None]; [None]; [0]
-CCn1cc(-c2cc3c(Cl)ccnc3[nH]2)cn1; [None]; [None]; [0]
-CC(C)Oc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-COC(=O)Nc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CCc1cccc(-c2cc3c(Cl)ccnc3[nH]2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cc3c(Cl)ccnc3[nH]2)nc1C; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cscn3)cc12; [None]; [None]; [0]
-OCCc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(Nc3ccccn3)cc12; [None]; [None]; [0]
-Fc1ccc(Nc2cc3c(Cl)ccnc3[nH]2)nc1; [None]; [None]; [0]
-CCOc1ccc(-c2ccc3ncccc3c2)cc1; ['Brc1ccc2ncccc2c1']; ['CCOc1ccccc1']; [0.798323691]
-N#Cc1ccc(-c2ccc3ncccc3c2)cc1; ['N#Cc1ccc(I)cc1', 'Ic1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'N#Cc1ccc(B(O)O)cc1']; [0.999998927, 0.999998927]
-COc1ncccc1-c1ccc2ncccc2c1; ['COc1ncccc1B(O)O']; ['Clc1ccc2ncccc2c1']; [0.999444187]
-Cc1n[nH]cc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-COc1cc(-c2ccc3ncccc3c2)cc(OC)c1OC; ['COc1cc(I)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1']; [0.999994159, 0.999994159, 0.999994159]
-CS(=O)(=O)c1cccc(-c2ccc3ncccc3c2)c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Brc1ccc2ncccc2c1']; ['CS(=O)(=O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Ic1ccc2ncccc2c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; [1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
-Cn1cc(-c2ccc3ncccc3c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['Ic1ccc2ncccc2c1', 'Cn1cc(I)cn1', 'Cn1cc(Br)cn1']; [0.999999642, 0.999999642, 0.999999642]
-c1cnc2ccc(-c3cnc4cccnn34)cc2c1; ['Brc1cnc2cccnn12']; ['OB(O)c1ccc2ncccc2c1']; [0.999999762]
-Oc1cccc(-c2ccc3ncccc3c2)c1; ['OB(O)c1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1']; [0.999881387, 0.999881387]
-c1cnc2ccc(-c3nc4ccccc4[nH]3)cc2c1; ['Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N']; ['O=Cc1ccc2ncccc2c1', 'O=C(O)c1ccc2ncccc2c1']; [0.999233723, 0.999233723]
-Cn1nncc1-c1ccc2ncccc2c1; ['Cn1ccnn1', 'Brc1ccc2ncccc2c1']; ['Nc1ccc2ncccc2c1', 'Cn1ccnn1']; [0.99933064, 0.99933064]
-Cc1nn(C)cc1-c1ccc2ncccc2c1; ['Brc1ccc2ncccc2c1']; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; [0.999999642]
-COc1ccc(-c2ccc3ncccc3c2)cc1; ['COc1ccc(OS(C)(=O)=O)cc1', 'COc1ccc(OS(=O)(=O)c2ccc(C)cc2)cc1', 'COc1ccc(Br)cc1', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(OS(=O)(=O)c2ccc(C)cc2)cc1']; [0.99997437, 0.99997437, 0.99997437, 0.99997437, 0.99997437]
-c1cnc(Nc2ccc3ncccc3c2)nc1; [None]; [None]; [0]
-Cc1cc(Nc2ccc3ncccc3c2)sn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-Fc1cccc(-c2ccc3ncccc3c2)c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1', 'Fc1cccc(I)c1', 'Ic1ccc2ncccc2c1']; ['Fc1cccc(Br)c1', 'CC1(C)OB(c2cccc(F)c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1cccc(F)c1']; [0.999999523, 0.999999523, 0.999999523, 0.999999523]
-O=C(Nc1ccccc1)c1ccc(-c2ccc3ncccc3c2)cc1; ['Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'Brc1ccc2ncccc2c1']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'Clc1ccc2ncccc2c1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1', 'OB(O)c1ccc2ncccc2c1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999999881, 0.999999881, 0.999999881, 0.999999881, 0.999999881, 0.999999881]
-O=C(Nc1ccc2ncccc2c1)C1CC1; ['Nc1ccc2ncccc2c1', 'COC(=O)C1CC1']; ['O=CC1CC1', 'Nc1ccc2ncccc2c1']; [0.991324544, 0.991324544]
-c1cnc2ccc(Cc3nccc4ccccc34)cc2c1; ['Brc1ccc2ncccc2c1']; ['Cc1nccc2ccccc12']; [0.978459716]
-OCCOc1ccc(-c2ccc3ncccc3c2)cc1; ['OB(O)c1ccc2ncccc2c1']; ['OCCOc1ccc(Br)cc1']; [0.999983549]
-Clc1ccc(-c2ccc3ncccc3c2)cc1; ['Clc1ccc(Br)cc1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc(Cl)cc1']; [0.999746501, 0.999746501]
-c1cc(-c2ccc3ncccc3c2)cc(C2CCNCC2)c1; ['Brc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; [0.999999523]
-c1cnc2ccc(Nc3ccncn3)cc2c1; ['Ic1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.998539686, 0.998539686]
-CNS(=O)(=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['CNS(=O)(=O)c1ccc(Br)cc1']; [0.999967694]
-Cc1cc(-c2ccc3ncccc3c2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2ccc3ncccc3c2)cc1; ['FC(F)(F)c1ccc(Br)cc1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc(C(F)(F)F)cc1']; [0.999986053, 0.999986053]
-Oc1ccccc1Cc1ccc2ncccc2c1; ['O=C1C=CCCC1']; ['O=Cc1ccc2ncccc2c1']; [0.98055011]
-Cc1nc(C)c(-c2ccc3ncccc3c2)s1; ['Brc1ccc2ncccc2c1']; ['Cc1csc(C)n1']; [0.995544255]
-CN(C)c1ccc(-c2ccc3ncccc3c2)cc1; ['CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F']; [0.999979, 0.999979, 0.999979]
-c1cnc2ccc(Cc3ccncc3)cc2c1; ['Brc1ccncc1', 'Brc1ccc2ncccc2c1']; ['Cc1ccc2ncccc2c1', 'Cc1ccncc1']; [0.984284282, 0.984284282]
-c1cncc(Cc2ccc3ncccc3c2)c1; ['ClCc1cccnc1', 'BrCc1cccnc1']; ['OB(O)c1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; [0.999928474, 0.999928474]
-c1cnc2ccc(-c3cncnc3)cc2c1; ['Brc1ccc2ncccc2c1']; ['OB(O)c1cncnc1']; [0.99910742]
-Clc1ncc(-c2ccc3ncccc3c2)cn1; ['Brc1ccc2ncccc2c1', 'Clc1ncc(Br)cn1']; ['CC1(C)OB(c2cnc(Cl)nc2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1']; [0.999994755, 0.999994755]
-OC[C@@H](O)Cc1ccc2ncccc2c1; [None]; [None]; [0]
-c1cnc2ccc(-n3ccnc3)cc2c1; ['Fc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.99989152, 0.99989152]
-COc1ccc(Cc2ccc3ncccc3c2)cc1; ['COc1ccc(CCl)cc1']; ['OB(O)c1ccc2ncccc2c1']; [0.999765575]
-Brc1ccc(-c2ccc3ncccc3c2)cc1; ['CC1(C)COB(c2ccc(Br)cc2)OC1', 'Brc1ccc(Br)cc1', 'Brc1ccc2ncccc2c1']; ['Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc(Br)cc1']; [0.999993682, 0.999993682, 0.999993682]
-COc1ccc(Cl)cc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-c1cnc2ccc(-c3c[nH]c4ccccc34)cc2c1; ['Brc1ccc2ncccc2c1']; ['c1ccc2[nH]ccc2c1']; [0.824357152]
-c1cnc2ccc(-c3cn[nH]c3)cc2c1; [None]; [None]; [0]
-c1cnc2ccc(Cn3ccnc3)cc2c1; ['O=C(n1ccnc1)n1ccnc1']; ['OCc1ccc2ncccc2c1']; [0.99976629]
-c1c[nH]c(-c2ccc3ncccc3c2)c1; ['OB(O)c1ccc2ncccc2c1']; ['c1cc[nH]c1']; [0.999962807]
-COc1cc(-c2ccc3ncccc3c2)ccc1O; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; ['COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1']; [0.999998212, 0.999998212, 0.999998212, 0.999998212]
-c1ccc2cc(-c3ccc4ncccc4c3)ncc2c1; ['Brc1ccc2ncccc2c1']; ['c1ccc2cnccc2c1']; [0.767432392]
-c1cnc2ccc(-c3ccc4c(c3)CCO4)cc2c1; ['Brc1ccc2c(c1)CCO2', 'Brc1ccc2ncccc2c1', 'Brc1ccc2c(c1)CCO2', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Brc1ccc2ncccc2c1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2']; [0.999999285, 0.999999285, 0.999999285, 0.999999285, 0.999999285]
-CC(=O)Nc1cccc(-c2ccc3ncccc3c2)c1; ['CC(=O)Nc1cccc(Br)c1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'CC(=O)Nc1cccc(B(O)O)c1']; [0.999771178, 0.999771178]
-Fc1ccc(-c2ccc3ncccc3c2)cc1F; [None]; [None]; [0]
-c1cnc2ccc(-c3scc4c3OCCO4)cc2c1; ['Brc1ccc2ncccc2c1']; ['c1scc2c1OCCO2']; [0.999979258]
-c1cc2c(c(-c3ccc4ncccc4c3)c1)OCO2; ['Brc1ccc2ncccc2c1']; ['c1ccc2c(c1)OCO2']; [0.889200687]
-c1cnc2ccc(-c3cnc4ccccc4c3)cc2c1; ['Brc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1']; [0.999999762, 0.999999762]
-COCCOc1ccc2ncccc2c1; ['COCCCl']; ['Oc1ccc2ncccc2c1']; [0.997818828]
-CC(C)(C)c1ccc(-c2ccc3ncccc3c2)cc1; ['CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1']; [0.999986529, 0.999986529]
-CC1(COc2ccc3ncccc3c2)COC1; ['CC1(CO)COC1']; ['Oc1ccc2ncccc2c1']; [0.94875586]
-c1coc(-c2ccc3ncccc3c2)c1; ['Brc1ccc2ncccc2c1', 'Brc1ccco1']; ['CC1(C)OB(c2ccco2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1']; [0.999997854, 0.999997854]
-CSc1cccc(-c2ccc3ncccc3c2)c1; ['CSc1cccc(Br)c1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'CSc1cccc(B(O)O)c1']; [0.999332368, 0.999332368]
-O[C@@H]1CC[C@@H](c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
-Cc1cc(-c2ccc3ncccc3c2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['OB(O)c1ccc2ncccc2c1']; [0.99997592]
-Fc1ccc(-c2ccc3ncccc3c2)c(Cl)c1; ['Fc1cccc(Cl)c1']; ['Ic1ccc2ncccc2c1']; [0.999245167]
-COc1ccc(-c2ccc3ncccc3c2)cc1OC; ['COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; [0.999930739, 0.999930739]
-O[C@@H]1CC[C@H](c2ccc3ncccc3c2)C1; [None]; [None]; [0]
-CCc1ccc(-c2ccc3ncccc3c2)cc1; ['CCc1ccc(I)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Cl)cc1', 'CCc1ccc(B(O)O)cc1']; ['OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1']; [0.99998033, 0.99998033, 0.99998033, 0.99998033]
-Clc1ccc(-c2ccc3ncccc3c2)c(Cl)c1; ['Clc1cccc(Cl)c1']; ['Ic1ccc2ncccc2c1']; [0.922467828]
-OC[C@H](Cc1ccccc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-Brc1cnc(-c2ccc3ncccc3c2)nc1; ['Brc1cnc(Br)nc1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1ncc(Br)cn1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1ncc(Br)cn1', 'OB(O)c1ccc2ncccc2c1']; [0.999982357, 0.999982357, 0.999982357]
-Cc1cc(C)cc(-c2ccc3ncccc3c2)c1; ['Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc(Br)c1', 'Brc1ccc2ncccc2c1', 'Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc(Cl)c1']; ['O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'OB(O)c1ccc2ncccc2c1', 'Cc1cc(C)cc(B(O)O)c1', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1']; [0.999970913, 0.999970913, 0.999970913, 0.999970913, 0.999970913]
-c1cnc2ccc(-c3ccsc3)cc2c1; ['Brc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccsc1', 'OB(O)c1ccsc1', 'Brc1ccsc1']; [0.999943852, 0.999943852, 0.999943852]
-COc1ccc(CNc2ccc3ncccc3c2)cc1; ['COc1ccc(CBr)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(C=O)cc1']; ['Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1']; [0.998867273, 0.998867273, 0.998867273, 0.998867273]
-Cn1cc(-c2ccc3ncccc3c2)c(C(F)(F)F)n1; ['Brc1ccc2ncccc2c1']; ['Cn1ccc(C(F)(F)F)n1']; [0.999807775]
-COc1cc(F)c(-c2ccc3ncccc3c2)cc1OC; ['Brc1ccc2ncccc2c1']; ['COc1ccc(F)cc1OC']; [0.962355256]
-COc1ccc2cccc(-c3ccc4ncccc4c3)c2c1; [None]; [None]; [0]
-COc1cc(-c2ccc3ncccc3c2)ccc1Cl; ['COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'Brc1ccc2ncccc2c1', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['OB(O)c1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Ic1ccc2ncccc2c1', 'COc1cc(B(O)O)ccc1Cl', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1']; [0.999996185, 0.999996185, 0.999996185, 0.999996185, 0.999996185, 0.999996185]
-Cc1cc(Nc2ccc3ncccc3c2)nn1C; [None]; [None]; [0]
-Cc1ccc(-c2ccc3ncccc3c2)o1; ['Cc1ccc(Br)o1', 'Cc1ccco1']; ['OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; [0.999897599, 0.999897599]
-Oc1ccc2cccc(-c3ccc4ncccc4c3)c2c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc3ncccc3c2)c1; ['COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'COc1cc(OC)cc(B(O)O)c1']; [0.999999523, 0.999999523, 0.999999523, 0.999999523, 0.999999523, 0.999999523]
-c1cnc2ccc(-c3ccc4cn[nH]c4c3)cc2c1; ['Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1']; [0.999999642, 0.999999642, 0.999999642, 0.999999642]
-Cc1nc(Nc2ccc3ncccc3c2)sc1C; ['Brc1ccc2ncccc2c1']; ['Cc1nc(N)sc1C']; [0.999979854]
-CCn1cc(-c2ccc3ncccc3c2)cn1; ['CCn1cc(I)cn1']; ['OB(O)c1ccc2ncccc2c1']; [0.999985337]
-c1cnc2ccc(-c3cc4ccccc4o3)cc2c1; ['Brc1cc2ccccc2o1', 'Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1cc2ccccc2o1', 'c1ccc2occc2c1']; [0.999822319, 0.999822319, 0.999822319]
-COc1cc(-c2ccc3ncccc3c2)c(OC)cc1Br; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'COc1cc(Br)c(OC)cc1Br']; ['COc1cc(Br)c(OC)cc1Br', 'OB(O)c1ccc2ncccc2c1']; [0.999795377, 0.999795377]
-COC(=O)Nc1ccc2ncccc2c1; ['COC(=O)Cl']; ['Nc1ccc2ncccc2c1']; [0.99906379]
-FC(F)(F)Oc1ccc(-c2ccc3ncccc3c2)cc1; ['FC(F)(F)Oc1ccc(Cl)cc1', 'Brc1ccc2ncccc2c1', 'FC(F)(F)Oc1ccc(Br)cc1', 'Clc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999999762, 0.999999762, 0.999999762, 0.999999762]
-CC(C)Oc1ccc2ncccc2c1; ['CC(C)I', 'CC(C)O']; ['Oc1ccc2ncccc2c1', 'Oc1ccc2ncccc2c1']; [0.998917699, 0.998917699]
-CNC(=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['CNC(=O)c1ccc(Br)cc1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'CNC(=O)c1ccc(B(O)O)cc1']; [0.999966621, 0.999966621]
-CCc1cccc(-c2ccc3ncccc3c2)n1; ['CCc1ccccn1']; ['OB(O)c1ccc2ncccc2c1']; [0.991131365]
-c1cnc2ccc(-c3cscn3)cc2c1; ['Brc1cscn1']; ['OB(O)c1ccc2ncccc2c1']; [0.999991059]
-Cc1ccc(-c2ccc3ncccc3c2)nc1C; ['Brc1ccc2ncccc2c1']; ['Cc1cccnc1C']; [0.999250472]
-OCCc1ccc(-c2ccc3ncccc3c2)cc1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1']; ['OCCc1ccc(I)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(Cl)cc1']; [0.999997, 0.999997, 0.999997, 0.999997]
-O=C1CCCN1c1cccc(-c2ccc3ncccc3c2)c1; ['O=C1CCCN1c1cccc(Br)c1']; ['OB(O)c1ccc2ncccc2c1']; [0.999994516]
-c1ccc(Nc2ccc3ncccc3c2)nc1; ['Fc1ccccn1', 'Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; ['Nc1ccc2ncccc2c1', 'Nc1ccccn1', 'Nc1ccccn1']; [0.997884572, 0.997884572, 0.997884572]
-COc1cc(N2CCNCC2)ccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-Fc1ccc(Nc2ccc3ncccc3c2)nc1; ['Fc1ccc(Br)nc1', 'Fc1ccc(Cl)nc1', 'Ic1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1']; ['Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1']; [0.999135673, 0.999135673, 0.999135673, 0.999135673, 0.999135673]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccc3ncccc3c2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['OB(O)c1ccc2ncccc2c1']; [0.999992847]
-c1cnc2ccc(-c3ccncc3)cc2c1; ['Brc1ccncc1']; ['OB(O)c1ccc2ncccc2c1']; [0.999978662]
-Oc1ccc(-c2ccc3ncccc3c2)cc1; ['O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'OB(O)c1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1']; [0.999686, 0.999686, 0.999686]
-c1cnc2ccc(-c3cccc4ncccc34)cc2c1; ['Clc1cccc2ncccc12']; ['OB(O)c1ccc2ncccc2c1']; [0.999957085]
-Oc1cc(-c2ccc3ncccc3c2)ccc1Cl; ['OB(O)c1ccc2ncccc2c1']; ['Oc1cc(Br)ccc1Cl']; [0.999956608]
-c1cnc2ccc(-c3n[nH]c4ccccc34)cc2c1; ['Ic1n[nH]c2ccccc12']; ['OB(O)c1ccc2ncccc2c1']; [0.999987602]
-Fc1cccc(F)c1-c1ccc2ncccc2c1; ['Fc1cccc(F)c1I', 'Fc1cccc(F)c1Br', 'Ic1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1c(F)cccc1F', 'OB(O)c1c(F)cccc1F']; [0.999997377, 0.999997377, 0.999997377, 0.999997377]
-Fc1ccc(Oc2ccc3ncccc3c2)cc1; ['OB(O)c1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Fc1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc2ncccc2c1', 'Oc1ccc2ncccc2c1']; [0.999803483, 0.999803483, 0.999803483, 0.999803483]
-Clc1cccc(Cl)c1-c1ccc2ncccc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1cccc(Cl)c1Br', 'Brc1ccc2ncccc2c1']; ['Clc1cccc(Cl)c1Br', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1c(Cl)cccc1Cl']; [0.999999762, 0.999999762, 0.999999762]
-Oc1ccc(-c2ccc3ncccc3c2)c(Cl)c1; ['OB(O)c1ccc2ncccc2c1']; ['Oc1ccc(Br)c(Cl)c1']; [0.999994397]
-Cc1ncc(-c2ccc3ncccc3c2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1ccc2ncccc2c1']; [0.999734581]
-Nc1nccc(-c2ccc3ncccc3c2)n1; ['Nc1nccc(Cl)n1']; ['OB(O)c1ccc2ncccc2c1']; [0.999945164]
-Clc1ccccc1-c1ccc2ncccc2c1; ['Brc1ccc2ncccc2c1', 'Clc1ccccc1Br']; ['OB(O)c1ccccc1Cl', 'OB(O)c1ccc2ncccc2c1']; [0.99993825, 0.99993825]
-O[C@H]1C[C@@H](c2ccc3ncccc3c2)C1; [None]; [None]; [0]
-c1cnc2ccc(-c3cnccn3)cc2c1; ['Clc1cnccn1']; ['OB(O)c1ccc2ncccc2c1']; [0.999963641]
-c1cnc2ccc(-c3cc[nH]c3)cc2c1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc3ncccc3c2)o1; ['Brc1ccc2ncccc2c1']; ['COC(=O)c1ccco1']; [0.999323249]
-N#Cc1ccc(-c2ccc3ncccc3c2)cn1; ['N#Cc1ccc(Br)cn1', 'N#Cc1ccc(Cl)cn1', 'Ic1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'N#Cc1ccc(Br)cn1']; [0.999959707, 0.999959707, 0.999959707]
-N#Cc1cnc(-c2ccc3ncccc3c2)cn1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'N#Cc1cnc(Cl)cn1']; ['N#Cc1cnc(Cl)cn1', 'OB(O)c1ccc2ncccc2c1']; [0.999998212, 0.999998212]
-COc1cc(CCc2ccc3ncccc3c2)ccc1O; [None]; [None]; [0]
-c1cnc2ccc(-c3ccoc3)cc2c1; ['Brc1ccc2ncccc2c1', 'Brc1ccoc1', 'Brc1ccc2ncccc2c1']; ['CC1(C)OB(c2ccoc2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccoc1']; [0.999993563, 0.999993563, 0.999993563]
-Brc1cccc(-c2ccc3ncccc3c2)c1; ['Brc1cccc(Br)c1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1cccc(Br)c1']; [0.999838114, 0.999838114]
-Oc1ccc(-c2ccc3ncccc3c2)c(O)c1; [None]; [None]; [0]
-Clc1cccc(OCc2ccc3ncccc3c2)c1; ['Fc1cccc(Cl)c1']; ['OCc1ccc2ncccc2c1']; [0.979662955]
-c1csc(-c2ccc3ncccc3c2)c1; ['Ic1cccs1', 'OB(O)c1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'c1ccsc1', 'c1ccsc1', 'Brc1cccs1']; [0.999941945, 0.999941945, 0.999941945, 0.999941945]
-OCCCc1ccc2ncccc2c1; [None]; [None]; [0]
-Clc1ccccc1OCc1ccc2ncccc2c1; ['OCc1ccc2ncccc2c1']; ['Oc1ccccc1Cl']; [0.997815847]
-COC(=O)c1ccc(Cl)c(-c2ccc3ncccc3c2)c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['COC(=O)c1ccc(Cl)c(Br)c1']; [1.0]
-Fc1ccc(-c2ccc3ncccc3c2)cc1Cl; ['Fc1ccc(I)cc1Cl', 'Ic1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc(F)c(Cl)c1']; [0.999999404, 0.999999404]
-Cc1ccc(-c2ccc3ncccc3c2)cc1C; ['Cc1ccccc1C']; ['Clc1ccc2ncccc2c1']; [0.963371217]
-Cc1ccc(O)cc1-c1ccc2ncccc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['Cc1ccc(O)cc1Br']; [0.999998331]
-c1cnc2ccc(-c3ccncn3)cc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['Clc1ccncn1']; [0.999998093]
-Oc1ncc(-c2ccc3ncccc3c2)cc1Cl; ['Brc1ccc2ncccc2c1']; ['Oc1ncc(Br)cc1Cl']; [0.986538291]
-Cc1ccc(CO)cc1-c1ccc2ncccc2c1; ['Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1Cl', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Cc1ccc(CO)cc1']; [0.99999404, 0.99999404, 0.99999404, 0.99999404]
-OC[C@H](c1ccccc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc3ncccc3c2)cc1; ['NC(=O)Nc1ccc(Br)cc1']; ['OB(O)c1ccc2ncccc2c1']; [0.999979734]
-Oc1ccc(Cl)c(-c2ccc3ncccc3c2)c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1']; ['Oc1ccc(Cl)c(Br)c1', 'Oc1ccc(Cl)c(Br)c1', 'Oc1ccc(Cl)c(I)c1']; [0.999999642, 0.999999642, 0.999999642]
-Cc1nc2ccc(-c3ccc4ncccc4c3)cc2[nH]1; [None]; [None]; [0]
-c1cnc2ccc(-c3nc4ccccc4s3)cc2c1; ['Brc1nc2ccccc2s1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; [0.999999762]
-Oc1cncc(-c2ccc3ncccc3c2)c1; ['OB(O)c1ccc2ncccc2c1']; ['Oc1cncc(Br)c1']; [0.999239326]
-O=c1ccccn1Cc1ccc2ncccc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['CS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999993801, 0.999993801]
-NC(=O)[C@H]1CC[C@@H](c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
-O=C1Cc2cc(-c3ccc4ncccc4c3)ccc2N1; ['Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(Br)ccc2N1']; [0.999951601, 0.999951601]
-Cc1cc(O)ccc1-c1ccc2ncccc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Cc1cc(O)ccc1Br', 'Brc1ccc2ncccc2c1']; ['Cc1cc(O)ccc1Br', 'OB(O)c1ccc2ncccc2c1', 'Cc1cc(O)ccc1B(O)O']; [0.999997497, 0.999997497, 0.999997497]
-C[C@H](CC(N)=O)c1ccc2ncccc2c1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc2ncccc2c1; ['Brc1ccc2ncccc2c1']; ['Cc1cccc(C)c1Br']; [0.997338235]
-c1cnc2ccc(-c3nccs3)cc2c1; ['Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; ['c1cscn1', 'c1cscn1']; [0.999687672, 0.999687672]
-Oc1c(Cl)cc(-c2ccc3ncccc3c2)cc1Cl; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1']; ['Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl']; [0.999995351, 0.999995351]
-CCc1cc(O)ccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3ccc4ncccc4c3)cc2[nH]1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['O=c1[nH]c2ccc(Cl)cc2[nH]1']; [0.999848604]
-CCc1sccc1-c1ccc2ncccc2c1; ['Brc1ccc2ncccc2c1']; ['CCc1cccs1']; [0.936049521]
-Nc1cc(-c2ccc3ncccc3c2)[nH]n1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1ccc2ncccc2c1; ['Fc1cc(Br)ccc1I', 'Ic1ccc2ncccc2c1', 'Fc1cccc(Br)c1', 'Fc1cc(Br)ccc1I']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc(Br)cc1F', 'Ic1ccc2ncccc2c1', 'c1ccc2ncccc2c1']; [0.999998689, 0.999998689, 0.999998689, 0.999998689]
-c1cnc2ccc(-c3ccc4c(c3)CCN4)cc2c1; ['Brc1ccc2c(c1)CCN2']; ['OB(O)c1ccc2ncccc2c1']; [0.999877453]
-c1cnc2ccc(Nc3ccncc3)cc2c1; ['Brc1ccncc1']; ['Nc1ccc2ncccc2c1']; [0.998985231]
-Oc1cc(Br)cc(-c2ccc3ncccc3c2)c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1']; ['Oc1cc(Br)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1']; [0.999881, 0.999881]
-Cc1ccc(-c2ccc3ncccc3c2)c(C)n1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1']; ['Cc1ccc(Br)c(C)n1', 'Cc1ccc(Br)c(C)n1']; [0.999999762, 0.999999762]
-Cn1ncc(N)c1-c1ccc2ncccc2c1; [None]; [None]; [0]
-Oc1c(F)cc(-c2ccc3ncccc3c2)cc1F; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['Oc1c(F)cc(Br)cc1F']; [0.999998808]
-Cc1nc2ccc(-c3ccc4ncccc4c3)cc2o1; ['Cc1nc2ccc(Br)cc2o1']; ['OB(O)c1ccc2ncccc2c1']; [0.999996066]
-Cc1csc(-c2ccc3ncccc3c2)n1; ['Cc1csc(Br)n1', 'Cc1cscn1']; ['OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; [0.999999762, 0.999999762]
-c1ccc(COc2ccc3ncccc3c2)cc1; ['ClCc1ccccc1']; ['Oc1ccc2ncccc2c1']; [0.996907413]
-Fc1ccc(Oc2ccc3ncccc3c2)c(F)c1; ['Brc1ccc2ncccc2c1', 'Fc1ccc(Br)c(F)c1']; ['Oc1ccc(F)cc1F', 'Oc1ccc2ncccc2c1']; [0.999992967, 0.999992967]
-Fc1ccc(Cc2ccc3ncccc3c2)cc1; ['Fc1ccc(CBr)cc1', 'Fc1ccc([Mg]Br)cc1', 'Br[Mg]c1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OCc1ccc2ncccc2c1', 'OCc1ccc(F)cc1']; [0.999556243, 0.999556243, 0.999556243]
-Fc1cccc(Cl)c1CNc1ccc2ncccc2c1; ['Nc1ccc2ncccc2c1']; ['OCc1c(F)cccc1Cl']; [0.999272406]
-c1cnc2ccc(-c3cnco3)cc2c1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3ccc4ncccc4c3)ccc12; ['O=c1[nH][nH]c2cc(Br)ccc12']; ['OB(O)c1ccc2ncccc2c1']; [0.999989033]
-Fc1ccccc1Oc1ccc2ncccc2c1; ['OB(O)c1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Fc1ccccc1Br', 'OB(O)c1ccccc1F', 'Fc1ccc2ncccc2c1', 'Fc1ccccc1F']; ['Oc1ccccc1F', 'Oc1ccccc1F', 'Oc1ccc2ncccc2c1', 'Oc1ccc2ncccc2c1', 'Oc1ccccc1F', 'Oc1ccc2ncccc2c1']; [0.999891758, 0.999891758, 0.999891758, 0.999891758, 0.999891758, 0.999891758]
-N#Cc1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CCOc1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-COc1ncccc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-Cn1nncc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@@H](O)CC2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](O)CC2)cn1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
-Cc1nn(C)cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-Oc1cccc([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-Cc1cc(N[C@@H]2CC[C@@H](O)CC2)sn1; [None]; [None]; [0]
-COc1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-O[C@H]1CC[C@H](Cc2nccc3ccccc23)CC1; [None]; [None]; [0]
-O=C(N[C@@H]1CC[C@@H](O)CC1)C1CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cccc(F)c2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc(Cl)cc2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cccc(C3CCNCC3)c2)CC1; [None]; [None]; [0]
-OCCOc1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](O)CC2)nn1C; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc(C(F)(F)F)cc2)CC1; [None]; [None]; [0]
-CN(C)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-Oc1ccccc1C[C@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-Cc1nc(C)c([C@@H]2CC[C@@H](O)CC2)s1; [None]; [None]; [0]
-O[C@H]1CC[C@H](Cc2cccnc2)CC1; [None]; [None]; [0]
-O[C@H]1CC[C@H](Cc2ccncc2)CC1; [None]; [None]; [0]
-OC[C@@H](O)C[C@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cncnc2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cnc(Cl)nc2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc(Br)cc2)CC1; [None]; [None]; [0]
-COc1ccc(Cl)cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-COc1ccc(C[C@H]2CC[C@H](O)CC2)cc1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](n2ccnc2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc[nH]2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cn[nH]c2)CC1; [None]; [None]; [0]
-O[C@H]1CC[C@H](Cn2ccnc2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc3c(c2)CCO3)CC1; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@@H](O)CC2)ccc1O; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cc3ccccc3cn2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc(F)c(F)c2)CC1; [None]; [None]; [0]
-CC(=O)Nc1cccc([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cccc3c2OCO3)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2scc3c2OCCO3)CC1; [None]; [None]; [0]
-COCCO[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CC1(CO[C@@H]2CC[C@@H](O)CC2)COC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cnc3ccccc3c2)CC1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](O)CC2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccco2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc(F)cc2Cl)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ncc(Br)cn2)CC1; [None]; [None]; [0]
-COc1ccc(CN[C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-CCc1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](O)CC2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc([C@@H]2CC[C@@H](O)CC2)cc1OC; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccsc2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc(Cl)cc2Cl)CC1; [None]; [None]; [0]
-COc1ccc2cccc([C@@H]3CC[C@@H](O)CC3)c2c1; [None]; [None]; [0]
-Oc1ccc2cccc([C@@H]3CC[C@@H](O)CC3)c2c1; [None]; [None]; [0]
-Cc1cc(C)cc([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@@H](O)CC2)ccc1Cl; [None]; [None]; [0]
-Cc1nc(N[C@@H]2CC[C@@H](O)CC2)sc1C; [None]; [None]; [0]
-COc1cc(F)c([C@@H]2CC[C@@H](O)CC2)cc1OC; [None]; [None]; [0]
-COc1cc(OC)cc([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-Cc1cc(N[C@@H]2CC[C@@H](O)CC2)nn1C; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@@H](O)CC2)c(OC)cc1Br; [None]; [None]; [0]
-CC(C)O[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc3cn[nH]c3c2)CC1; [None]; [None]; [0]
-CCn1cc([C@@H]2CC[C@@H](O)CC2)cn1; [None]; [None]; [0]
-COC(=O)N[C@@H]1CC[C@@H](O)CC1; ['COC(=O)Cl']; ['N[C@H]1CC[C@H](O)CC1']; [0.99949944]
-O[C@@H]1CC[C@@H](c2cc3ccccc3o2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cscn2)CC1; [None]; [None]; [0]
-CCc1cccc([C@@H]2CC[C@@H](O)CC2)n1; [None]; [None]; [0]
-O=C1CCCN1c1cccc([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc(OC(F)(F)F)cc2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](Nc2ccc(F)cn2)CC1; ['Fc1ccc(Cl)nc1']; ['N[C@H]1CC[C@H](O)CC1']; [0.99999404]
-OCCc1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CC[C@@H](O)CC2)nc1C; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](Nc2ccccn2)CC1; ['Clc1ccccn1']; ['N[C@H]1CC[C@H](O)CC1']; [0.999506712]
-COc1cc(N2CCNCC2)ccc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-CCOc1ccccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccnc2ccccc12; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cc[nH]n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccnc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccccc1F; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccccc1Br; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccccc1Cl; [None]; [None]; [0]
-N#Cc1ccccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccccc1OC(F)(F)F; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1c(F)cccc1F; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccncn1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnn(CCO)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc2c(c1)CCC2; [None]; [None]; [0]
-Cc1ccc(-c2c(N)cc[nH]c2=O)c(Br)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnco1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnc2ccccn12; [None]; [None]; [0]
-Cc1nc(C)c(-c2c(N)cc[nH]c2=O)s1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnc2cccnn12; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(Cl)c1Cl; [None]; [None]; [0]
-Nc1nccc(-c2c(N)cc[nH]c2=O)n1; [None]; [None]; [0]
-Cc1ncc(-c2c(N)cc[nH]c2=O)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(Cl)s1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc2ccccc2c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(CO)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cncc2ccccc12; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(O)c1; [None]; [None]; [0]
-Cn1cncc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccco1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccs1; [None]; [None]; [0]
-Cn1cc(-c2c(N)cc[nH]c2=O)cn1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1CC[C@@H](O)CO; [None]; [None]; [0]
-CC[C@H](CO)c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-N#CCCc1cccc(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Cc1cc(-c2c(N)cc[nH]c2=O)no1; [None]; [None]; [0]
-COc1ccc(-c2c(N)cc[nH]c2=O)cc1Cl; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnoc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc2c1C(=O)CC2; [None]; [None]; [0]
-CCCn1cc(-c2c(N)cc[nH]c2=O)cn1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2c(N)cc[nH]c2=O)C1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1c[nH]c2cnccc12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2c(N)cc[nH]c2=O)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2c(N)cc[nH]c2=O)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccnc1O; [None]; [None]; [0]
-COc1ccc(-c2c(N)cc[nH]c2=O)c(OC)c1; [None]; [None]; [0]
-Nc1ncc(-c2c(N)cc[nH]c2=O)s1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
-Nc1nnc(-c2c(N)cc[nH]c2=O)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Cc1cncc(-c2c(N)cc[nH]c2=O)n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1nc2ccccc2s1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc2ccsc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-COc1ccc(OC)c(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2c(N)cc[nH]c2=O)CC1; [None]; [None]; [0]
-N#Cc1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-CCOc1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-COc1ncccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Cc1n[nH]cc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-COc1cc(-c2c(N)cc[nH]c2=O)cc(OC)c1OC; [None]; [None]; [0]
-Cn1nncc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Cc1nn(C)cc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-COc1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Nc1ncccn1; [None]; [None]; [0]
-Cc1cc(Nc2c(N)cc[nH]c2=O)sn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(F)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Cc1nccc2ccccc12; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(OCCO)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1NC(=O)C1CC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Nc1ccncn1; [None]; [None]; [0]
-Cc1cc(-c2c(N)cc[nH]c2=O)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Cc1ccccc1O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Cc1ccncc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Cc1cccnc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1C[C@H](O)CO; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnc(Cl)nc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cncnc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(Br)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-n1ccnc1; [None]; [None]; [0]
-COc1ccc(Cc2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cn[nH]c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc[nH]1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Cn1ccnc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cc2ccccc2cn1; [None]; [None]; [0]
-COc1cc(-c2c(N)cc[nH]c2=O)ccc1O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc2c1OCO2; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1scc2c1OCCO2; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(F)c(F)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnc2ccccc2c1; [None]; [None]; [0]
-COCCOc1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Cc1cc(-c2c(N)cc[nH]c2=O)nc(N)n1; [None]; [None]; [0]
-CC1(COc2c(N)cc[nH]c2=O)COC1; [None]; [None]; [0]
-CSc1cccc(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ncc(Br)cn1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(F)cc1Cl; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-COc1ccc(CNc2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-COc1ccc(-c2c(N)cc[nH]c2=O)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Cn1cc(-c2c(N)cc[nH]c2=O)c(C(F)(F)F)n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccsc1; [None]; [None]; [0]
-COc1cc(F)c(-c2c(N)cc[nH]c2=O)cc1OC; [None]; [None]; [0]
-COc1ccc2cccc(-c3c(N)cc[nH]c3=O)c2c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
-COc1cc(-c2c(N)cc[nH]c2=O)ccc1Cl; [None]; [None]; [0]
-Cc1cc(Nc2c(N)cc[nH]c2=O)nn1C; [None]; [None]; [0]
-Cc1nc(Nc2c(N)cc[nH]c2=O)sc1C; [None]; [None]; [0]
-COc1cc(OC)cc(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Cc1ccc(-c2c(N)cc[nH]c2=O)o1; [None]; [None]; [0]
-COc1cc(-c2c(N)cc[nH]c2=O)c(OC)cc1Br; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
-CCn1cc(-c2c(N)cc[nH]c2=O)cn1; [None]; [None]; [0]
-CC(C)Oc1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cc2ccccc2o1; [None]; [None]; [0]
-COC(=O)Nc1c(N)cc[nH]c1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-CCc1cccc(-c2c(N)cc[nH]c2=O)n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cscn1; [None]; [None]; [0]
-Cc1ccc(-c2c(N)cc[nH]c2=O)nc1C; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(CCO)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Nc1ccccn1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Nc1ccc(F)cn1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc(N)ccn1; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.999920487, 0.999920487]
-CS(=O)(=O)c1ccc(Cl)c(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(-c2ccnc3ccccc23)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1ccnc2ccccc12']; [0.999371946]
-Nc1ccnc([C@@H]2C[C@H](O)C2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cc[nH]n2)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1cc[nH]n1']; [0.994300485]
-Nc1ccnc(-c2ccccc2F)c1; ['CC1(C)OB(c2ccccc2F)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Fc1ccccc1Cl']; ['Nc1ccnc(Br)c1', 'OB(O)c1ccccc1F', 'OB(O)c1ccccc1F', 'Nc1ccnc(Cl)c1']; [0.999970913, 0.999970913, 0.999970913, 0.999970913]
-Nc1ccnc(-c2cccnc2)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1cccnc1']; [0.99686569]
-Nc1ccnc(-c2ccccc2Br)c1; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; ['OB(O)c1ccccc1Br', 'OB(O)c1ccccc1Br']; [0.999493718, 0.999493718]
-Nc1ccnc(-c2cccc(C(F)(F)F)c2)c1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1ccnc(Br)c1']; ['Nc1ccnc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999990582, 0.999990582]
-Nc1ccnc(-c2ccccc2Cl)c1; ['CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'Clc1ccccc1Br']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1']; [0.999842882, 0.999842882, 0.999842882]
-N#Cc1ccccc1-c1cc(N)ccn1; ['N#Cc1ccccc1B(O)O']; ['Nc1ccnc(Cl)c1']; [0.99833858]
-Nc1ccnc(-c2ccccc2OC(F)(F)F)c1; ['Nc1ccnc(Br)c1', 'FC(F)(F)Oc1ccccc1Cl']; ['OB(O)c1ccccc1OC(F)(F)F', 'Nc1ccnc(Cl)c1']; [0.999978781, 0.999978781]
-Nc1ccnc(-c2cnn(Cc3ccccc3)c2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Nc1ccnc(Cl)c1']; [0.999974]
-NC(=O)c1ccccc1-c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(-c2c(F)cccc2F)c1; ['CC1(C)OB(c2c(F)cccc2F)OC1(C)C', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Cl)c1', 'OB(O)c1c(F)cccc1F']; [0.999960899, 0.999960899]
-Nc1ccnc(-c2cnn(CCO)c2)c1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Nc1ccnc(Cl)c1']; [0.99960357]
-Nc1ccnc(-c2ccncn2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)ccn2)c(Br)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc3c(c2)CCC3)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(NC(=O)c3ccccc3)c2)c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc(N)ccn2)s1; [None]; [None]; [0]
-Nc1ccnc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
-Nc1ccnc(-c2c(Cl)cccc2Cl)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.993067741]
-Nc1ccnc(-c2cnco2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(Cl)c2Cl)c1; ['Nc1ccnc(Br)c1']; ['OB(O)c1cccc(Cl)c1Cl']; [0.998905659]
-Cc1nc(N)sc1-c1cc(N)ccn1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc(N)ccn2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Nc1ccnc(Cl)c1']; [0.996435523]
-Cc1ncc(-c2cc(N)ccn2)[nH]1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc3ccccc3c2)c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1ccnc(Br)c1']; ['Nc1ccnc(Cl)c1', 'OB(O)c1ccc2ccccc2c1']; [0.999931931, 0.999931931]
-COc1cccc(-c2cc(N)ccn2)c1; ['COc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cccc(B(O)O)c1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.999845147, 0.999845147]
-Nc1ccnc(-c2cncc3ccccc23)c1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C']; ['Nc1ccnc(Cl)c1']; [0.999996901]
-Nc1ccnc(-c2ccnc(N)n2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(O)c2)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1cccc(O)c1']; [0.996007383]
-Cn1cncc1-c1cc(N)ccn1; ['CCCC[Sn](CCCC)(CCCC)c1cncn1C']; ['Nc1ccnc(Cl)c1']; [0.969154418]
-Nc1ccnc(-c2cccs2)c1; ['Nc1ccnc(Br)c1']; ['OB(O)c1cccs1']; [0.999951363]
-Nc1ccnc(-c2ccc(Cl)s2)c1; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; ['OB(O)c1ccc(Cl)s1', 'OB(O)c1ccc(Cl)s1']; [0.999957561, 0.999957561]
-Cn1cc(-c2cc(N)ccn2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ccnc(Cl)c1']; [0.999981403]
-Nc1ccnc(-c2cccc(CO)c2)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OCc1cccc(B(O)O)c1']; [0.999893427, 0.999893427, 0.999893427]
-N#CCCc1cccc(-c2cc(N)ccn2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccco2)c1; ['Nc1ccnc(Br)c1']; ['OB(O)c1ccco1']; [0.999468]
-CC[C@H](CO)c1cc(N)ccn1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)ccn2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Nc1ccnc(Br)c1']; [0.999900341]
-Nc1ccnc(CC[C@@H](O)CO)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(N)ccn2)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.999687195, 0.999687195]
-Nc1ccnc(-c2ccc(F)cc2C(F)(F)F)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999806464]
-CCCn1cc(-c2cc(N)ccn2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ccnc(Br)c1']; [0.999986649]
-Nc1ccnc(-c2cnoc2)c1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)ccn2)no1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc(N)ccn2)cc1; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.999818504, 0.999818504]
-Nc1ccnc(-c2cccc3c2C(=O)CC3)c1; [None]; [None]; [0]
-Nc1ccnc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
-Nc1ccnc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cc3c(=O)[nH]ccc3o2)c1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cc(N)ccn2)CC1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cc(N)ccn2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cc(N)ccn2)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.999999523, 0.999999523, 0.999999523]
-CNS(=O)(=O)c1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cc(N)ccn1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C']; ['Nc1ccnc(Cl)c1']; [0.999999166]
-NC(=O)c1c(F)cccc1-c1cc(N)ccn1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)ccn2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Nc1ccnc(Br)c1']; [0.999815881]
-Nc1ccnc(-c2cccnc2O)c1; [None]; [None]; [0]
-Nc1ccnc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(C(=O)c3ccccc3)cc2)c1; ['Nc1ccnc(Br)c1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999765813]
-Nc1ccnc(-c2nnc(N)s2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2nc3ccccc3s2)c1; ['Nc1ccnc(Br)c1']; ['c1ccc2scnc2c1']; [0.998066366]
-Nc1ccnc(-c2cnc(N)s2)c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc(N)ccn1; ['COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.999977231, 0.999977231]
-Cc1cncc(-c2cc(N)ccn2)n1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc(N)ccn1; ['COc1ccc(C#N)cc1Br']; ['Nc1ccnc(Br)c1']; [0.940262]
-Nc1ccnc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc3ccsc23)c1; ['Brc1cccc2ccsc12']; ['Nc1ccnc(Cl)c1']; [0.990588188]
-Cc1cc(C)cc(-c2cc(N)ccn2)c1; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1ccnc(Cl)c1']; [0.996152699]
-COc1ccc(OC)c(-c2cc(N)ccn2)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cc(N)ccn2)cc1; ['CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C', 'N#Cc1ccc(Br)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.999999285, 0.999999285, 0.999999285]
-CCOc1ccc(-c2cc(N)ccn2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.999988556, 0.999988556]
-C[C@@]1(O)CC[C@H](c2cc(N)ccn2)CC1; [None]; [None]; [0]
-COc1ncccc1-c1cc(N)ccn1; ['COc1ncccc1B(O)O']; ['Nc1ccnc(Cl)c1']; [0.99863714]
-CS(=O)(=O)c1cccc(-c2cc(N)ccn2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.999999881, 0.999999881]
-COc1cc(-c2cc(N)ccn2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1ccnc(Br)c1']; [0.999705613]
-Cc1nn(C)cc1-c1cc(N)ccn1; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ccnc(Cl)c1']; [0.999966621]
-Nc1ccnc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; ['Nc1ccnc(Cl)c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.99957794]
-Nc1ccnc(-c2nc3ccccc3[nH]2)c1; ['Nc1ccccc1N']; ['Nc1ccnc(C(=O)O)c1']; [0.999766529]
-Cc1cc(Nc2cc(N)ccn2)sn1; ['Cc1cc(N)sn1']; ['Nc1ccnc(Cl)c1']; [0.98899895]
-Cc1n[nH]cc1-c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(Nc2ncccn2)c1; ['Nc1ccnc(Cl)c1']; ['Nc1ncccn1']; [0.942837298]
-Nc1ccnc(-c2ccc(C(=O)Nc3ccccc3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999999762, 0.999999762, 0.999999762]
-Cn1nncc1-c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(F)c2)c1; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C']; ['Nc1ccnc(Br)c1']; [0.999996305]
-COc1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.999978662, 0.999978662]
-Nc1ccnc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(OCCO)cc2)c1; [None]; [None]; [0]
-Nc1ccnc(Cc2nccc3ccccc23)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(Cl)cc2)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1ccc(Cl)cc1']; [0.999377072]
-Nc1ccnc(-c2cccc(C3CCNCC3)c2)c1; ['Brc1cccc(C2CCNCC2)c1']; ['Nc1ccnc(Br)c1']; [0.863546193]
-Nc1ccnc(Nc2ccncn2)c1; ['Nc1ccnc(Br)c1']; ['Nc1ccncn1']; [0.844855189]
-Cc1cc(-c2cc(N)ccn2)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)ccn2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.999994516, 0.999994516, 0.999994516]
-Nc1ccnc(-c2ccc(C(F)(F)F)cc2)c1; [None]; [None]; [0]
-Nc1ccnc(Cc2ccncc2)c1; [None]; [None]; [0]
-Nc1ccnc(Cc2cccnc2)c1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-Nc1ccnc(-c2cnc(Cl)nc2)c1; ['CC1(C)OB(c2cnc(Cl)nc2)OC1(C)C']; ['Nc1ccnc(Cl)c1']; [0.999906778]
-Nc1ccnc(-c2cncnc2)c1; ['CC1(C)OB(c2cncnc2)OC1(C)C', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Cl)c1', 'OB(O)c1cncnc1']; [0.999918818, 0.999918818]
-Nc1ccnc(Cc2ccccc2O)c1; [None]; [None]; [0]
-Nc1ccnc(-n2ccnc2)c1; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.996165395, 0.996165395]
-Nc1ccnc(C[C@H](O)CO)c1; [None]; [None]; [0]
-COc1ccc(Cc2cc(N)ccn2)cc1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(Br)cc2)c1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Br)c1', 'OB(O)c1ccc(Br)cc1']; [0.999976039, 0.999976039]
-COc1ccc(Cl)cc1-c1cc(N)ccn1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.999786079, 0.999786079]
-Nc1ccnc(-c2ccc[nH]2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc3c(c2)CCO3)c1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Cl)c1', 'OB(O)c1ccc2c(c1)CCO2']; [0.999893427, 0.999893427]
-Nc1ccnc(-c2cn[nH]c2)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)ccn2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.999934673, 0.999934673]
-Nc1ccnc(-c2cc3ccccc3cn2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(F)c(F)c2)c1; ['CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccc(F)c(F)c1']; [0.999997258, 0.999997258, 0.999997258]
-Nc1ccnc(Cn2ccnc2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2scc3c2OCCO3)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc3c2OCO3)c1; [None]; [None]; [0]
-COCCOc1cc(N)ccn1; ['COCCO']; ['Nc1ccnc(F)c1']; [0.979333341]
-CC(C)(C)c1ccc(-c2cc(N)ccn2)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Cl)c1']; [0.999982834]
-Nc1ccnc(-c2cnc3ccccc3c2)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1cnc2ccccc2c1']; [0.998887837]
-CSc1cccc(-c2cc(N)ccn2)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.999990821, 0.999990821]
-CC1(COc2cc(N)ccn2)COC1; ['CC1(CBr)COC1']; ['Nc1ccnc(O)c1']; [0.97919488]
-Nc1ccnc(-c2ccc(F)cc2Cl)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1ccc(F)cc1Cl']; [0.998820364]
-Cc1cc(-c2cc(N)ccn2)nc(N)n1; [None]; [None]; [0]
-Nc1ccnc([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-Nc1ccnc([C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
-Nc1ccnc([C@H]2CC[C@@H](O)C2)c1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)ccn2)cc1OC; ['COc1ccc(Br)cc1OC']; ['Nc1ccnc(Br)c1']; [0.798154294]
-Nc1ccnc(-c2ncc(Br)cn2)c1; [None]; [None]; [0]
-COc1ccc(CNc2cc(N)ccn2)cc1; ['COc1ccc(CN)cc1']; ['Nc1ccnc(F)c1']; [0.981592596]
-CCc1ccc(-c2cc(N)ccn2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.999998569, 0.999998569]
-Nc1ccnc(-c2ccsc2)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1ccsc1']; [0.999997258]
-Nc1ccnc(-c2ccc(Cl)cc2Cl)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.999172866]
-COc1ccc2cccc(-c3cc(N)ccn3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)ccn2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)ccn2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl']; ['Nc1ccnc(Cl)c1']; [0.999991655]
-Cc1nc(Nc2cc(N)ccn2)sc1C; ['Cc1nc(N)sc1C']; ['Nc1ccnc(Cl)c1']; [0.992591143]
-Cc1ccc(-c2cc(N)ccn2)o1; ['Cc1ccc(B(O)O)o1']; ['Nc1ccnc(Cl)c1']; [0.997843385]
-COc1cc(F)c(-c2cc(N)ccn2)cc1OC; [None]; [None]; [0]
-Cc1cc(Nc2cc(N)ccn2)nn1C; ['Cc1cc(N)nn1C']; ['Nc1ccnc(Cl)c1']; [0.999703348]
-COc1cc(-c2cc(N)ccn2)c(OC)cc1Br; [None]; [None]; [0]
-CC(C)Oc1cc(N)ccn1; ['CC(C)O']; ['Nc1ccnc(Cl)c1']; [0.994777441]
-Nc1ccnc(-c2ccc3cn[nH]c3c2)c1; ['Nc1ccnc(Cl)c1']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999845862]
-COc1cc(OC)cc(-c2cc(N)ccn2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.999822795, 0.999822795, 0.999822795]
-CCn1cc(-c2cc(N)ccn2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ccnc(Br)c1']; [0.999969721]
-CNC(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.999990582, 0.999990582]
-Nc1ccnc(-c2cc3ccccc3o2)c1; ['Nc1ccnc(Br)c1']; ['OB(O)c1cc2ccccc2o1']; [0.999924302]
-Nc1ccnc(-c2ccc(OC(F)(F)F)cc2)c1; ['Nc1ccnc(Br)c1']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999999523]
-COC(=O)Nc1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(-c2cscn2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)ccn2)nc1C; [None]; [None]; [0]
-CCc1cccc(-c2cc(N)ccn2)n1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(N3CCCC3=O)c2)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(Nc2ccc(F)cn2)c1; ['Nc1ccc(F)cn1']; ['Nc1ccnc(Cl)c1']; [0.99656868]
-N#Cc1ccc(-c2nc3cnccc3[nH]2)cc1; ['N#Cc1ccc(C=O)cc1']; ['Nc1ccncc1N']; [0.999952078]
-Nc1ccnc(-c2ccc(CCO)cc2)c1; [None]; [None]; [0]
-Nc1ccnc(Nc2ccccn2)c1; ['Nc1ccccn1']; ['Nc1ccnc(Br)c1']; [0.818945944]
-CCOc1ccc(-c2nc3cnccc3[nH]2)cc1; ['CCOc1ccc(C=O)cc1']; ['Nc1ccncc1N']; [0.999783695]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc(N)ccn2)c1; [None]; [None]; [0]
-COc1ncccc1-c1nc2cnccc2[nH]1; ['COc1ncccc1C(=O)O']; ['Nc1ccncc1N']; [0.999819]
-Cc1n[nH]cc1-c1nc2cnccc2[nH]1; ['Cc1n[nH]cc1C(=O)O']; ['Nc1ccncc1N']; [0.999912143]
-CS(=O)(=O)c1cccc(-c2nc3cnccc3[nH]2)c1; ['CS(=O)(=O)c1cccc(C=O)c1']; ['Nc1ccncc1N']; [0.999995232]
-COc1cc(-c2nc3cnccc3[nH]2)cc(OC)c1OC; ['COc1cc(C=O)cc(OC)c1OC']; ['Nc1ccncc1N']; [0.999696851]
-c1cnn2c(-c3nc4cnccc4[nH]3)cnc2c1; [None]; [None]; [0]
-Cn1cc(-c2nc3cnccc3[nH]2)cn1; ['Cn1cc(C(=O)O)cn1', 'Cn1cc(C=O)cn1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999999285, 0.999999285]
-Cn1nncc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Oc1cccc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['O=Cc1cccc(O)c1']; [0.999901056]
-c1ccc2[nH]c(-c3nc4cnccc4[nH]3)nc2c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2nc3cnccc3[nH]2)sn1; [None]; [None]; [0]
-COc1ccc(-c2nc3cnccc3[nH]2)cc1; ['COc1ccc(C(=O)O)cc1', 'COc1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999976277, 0.999976277]
-NC(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['NC(=O)c1ccc(C(=O)O)cc1']; ['Nc1ccncc1N']; [0.999957085]
-c1cnc(Nc2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
-Fc1cccc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1cccc(F)c1', 'O=C(O)c1cccc(F)c1']; [0.999998212, 0.999998212]
-O=C(Nc1ccccc1)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-OCCOc1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N']; ['O=Cc1ccc(OCCO)cc1']; [0.990506768]
-c1ccc2c(Cc3nc4cnccc4[nH]3)nccc2c1; [None]; [None]; [0]
-Clc1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1']; [0.999988079, 0.999988079]
-Cc1cc(-c2nc3cnccc3[nH]2)nn1C; ['Cc1cc(C=O)nn1C']; ['Nc1ccncc1N']; [0.999973774]
-O=C(Nc1nc2cnccc2[nH]1)C1CC1; [None]; [None]; [0]
-c1cc(Nc2nc3cnccc3[nH]2)ncn1; [None]; [None]; [0]
-c1cc(-c2nc3cnccc3[nH]2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1ccc(C(F)(F)F)cc1', 'O=Cc1ccc(C(F)(F)F)cc1']; [0.999985814, 0.999985814]
-CNS(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CNS(=O)(=O)c1ccc(C(=O)O)cc1']; ['Nc1ccncc1N']; [0.999982]
-Oc1ccccc1Cc1nc2cnccc2[nH]1; ['Nc1ccncc1N']; ['O=C(O)Cc1ccccc1O']; [0.997043431]
-C[C@H](O)COc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-c1cncc(Cc2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['O=C(O)Cc1cccnc1']; [0.999632716]
-CN(C)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CN(C)c1ccc(C=O)cc1']; ['Nc1ccncc1[N+](=O)[O-]']; [0.995187]
-c1cc(Cc2nc3cnccc3[nH]2)ccn1; ['Nc1ccncc1N']; ['O=C(O)Cc1ccncc1']; [0.999835]
-Cc1nc(C)c(-c2nc3cnccc3[nH]2)s1; [None]; [None]; [0]
-c1cc2[nH]c(-c3cncnc3)nc2cn1; ['Nc1ccncc1N']; ['O=Cc1cncnc1']; [0.998921156]
-Clc1ncc(-c2nc3cnccc3[nH]2)cn1; ['Nc1ccncc1N']; ['O=C(O)c1cnc(Cl)nc1']; [0.988836408]
-Brc1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N']; ['O=C(O)c1ccc(Br)cc1']; [0.999964714]
-OC[C@@H](O)Cc1nc2cnccc2[nH]1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1nc2cnccc2[nH]1; ['COc1ccc(Cl)cc1C(=O)O']; ['Nc1ccncc1N']; [0.999996424]
-c1cc2[nH]c(-n3ccnc3)nc2cn1; [None]; [None]; [0]
-c1cc2[nH]c(-c3cn[nH]c3)nc2cn1; ['Nc1ccncc1N']; ['O=C(O)c1cn[nH]c1']; [0.999990344]
-c1c[nH]c(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N', 'N#Cc1ccc[nH]1']; ['O=Cc1ccc[nH]1', 'Nc1ccncc1N']; [0.999316573, 0.999316573]
-c1cc2[nH]c(-c3ccc4c(c3)CCO4)nc2cn1; ['Nc1ccncc1N']; ['O=Cc1ccc2c(c1)CCO2']; [0.999982357]
-COc1ccc(Cc2nc3cnccc3[nH]2)cc1; ['COc1ccc(CC(=O)O)cc1', 'COc1ccc(CC(=O)Cl)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999471724, 0.999471724]
-CC(=O)Nc1cccc(-c2nc3cnccc3[nH]2)c1; ['CC(=O)Nc1cccc(C(=O)O)c1']; ['Nc1ccncc1N']; [0.999992132]
-c1ccc2c(-c3nc4cnccc4[nH]3)c[nH]c2c1; ['Nc1ccncc1N']; ['O=C(O)c1c[nH]c2ccccc12']; [0.999965549]
-c1ccc2cc(-c3nc4cnccc4[nH]3)ncc2c1; ['Nc1ccncc1N']; ['O=C(O)c1cc2ccccc2cn1']; [0.999939203]
-c1cc2c(c(-c3nc4cnccc4[nH]3)c1)OCO2; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1cccc2c1OCO2', 'O=C(O)c1cccc2c1OCO2']; [0.999949574, 0.999949574]
-c1cc2[nH]c(Cn3ccnc3)nc2cn1; ['Nc1ccncc1N']; ['O=C(O)Cn1ccnc1']; [0.999812663]
-CC(C)(C)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.999930501, 0.999930501]
-COc1cc(-c2nc3cnccc3[nH]2)ccc1O; ['COc1cc(C=O)ccc1O']; ['Nc1ccncc1N']; [0.998303413]
-c1cc2[nH]c(-c3scc4c3OCCO4)nc2cn1; [None]; [None]; [0]
-Fc1ccc(-c2nc3cnccc3[nH]2)cc1F; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1ccc(F)c(F)c1', 'O=C(O)c1ccc(F)c(F)c1']; [0.999995351, 0.999995351]
-c1ccc2ncc(-c3nc4cnccc4[nH]3)cc2c1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1cnc2ccccc2c1', 'O=C(O)c1cnc2ccccc2c1']; [0.999945045, 0.999945045]
-c1coc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['O=Cc1ccco1']; [0.99849]
-COCCOc1nc2cnccc2[nH]1; [None]; [None]; [0]
-CC1(COc2nc3cnccc3[nH]2)COC1; [None]; [None]; [0]
-CSc1cccc(-c2nc3cnccc3[nH]2)c1; ['CSc1cccc(C=O)c1']; ['Nc1ccncc1N']; [0.999997139]
-Fc1ccc(-c2nc3cnccc3[nH]2)c(Cl)c1; ['Nc1ccncc1N']; ['O=C(O)c1ccc(F)cc1Cl']; [0.999992371]
-O[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CC1; ['Nc1ccncc1N']; ['O=C(O)[C@H]1CC[C@H](O)CC1']; [0.999469221]
-Cc1cc(-c2nc3cnccc3[nH]2)nc(N)n1; [None]; [None]; [0]
-COc1ccc(-c2nc3cnccc3[nH]2)cc1OC; ['COc1ccc(C=O)cc1OC']; ['Nc1ccncc1N']; [0.999901772]
-O[C@@H]1CC[C@H](c2nc3cnccc3[nH]2)C1; [None]; [None]; [0]
-CCc1ccc(-c2nc3cnccc3[nH]2)cc1; ['CCc1ccc(C=O)cc1']; ['Nc1ccncc1N']; [0.99884522]
-OC[C@H](Cc1ccccc1)c1nc2cnccc2[nH]1; [None]; [None]; [0]
-c1cc2[nH]c(-c3ccsc3)nc2cn1; ['Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; ['O=Cc1ccsc1', 'O=Cc1ccsc1']; [0.999885201, 0.999885201]
-Clc1ccc(-c2nc3cnccc3[nH]2)c(Cl)c1; ['Nc1ccncc1N']; ['O=C(O)c1ccc(Cl)cc1Cl']; [0.99998951]
-Brc1cnc(-c2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2nc3cnccc3[nH]2)c1; ['Cc1cc(C)cc(C=O)c1']; ['Nc1ccncc1N']; [0.999902606]
-COc1ccc(CNc2nc3cnccc3[nH]2)cc1; ['COc1ccc(CN=C=S)cc1']; ['Nc1ccncc1N']; [0.982019603]
-COc1cc(F)c(-c2nc3cnccc3[nH]2)cc1OC; ['COc1cc(F)c(C=O)cc1OC']; ['Nc1ccncc1N']; [0.999956608]
-COc1ccc2cccc(-c3nc4cnccc4[nH]3)c2c1; [None]; [None]; [0]
-COc1cc(-c2nc3cnccc3[nH]2)ccc1Cl; ['COc1cc(C=O)ccc1Cl']; ['Nc1ccncc1N']; [0.999967217]
-Cn1cc(-c2nc3cnccc3[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1ccc(-c2nc3cnccc3[nH]2)o1; ['Cc1ccc(C=O)o1']; ['Nc1ccncc1N']; [0.998785317]
-Cc1cc(Nc2nc3cnccc3[nH]2)nn1C; [None]; [None]; [0]
-COc1cc(OC)cc(-c2nc3cnccc3[nH]2)c1; ['COc1cc(C=O)cc(OC)c1']; ['Nc1ccncc1N']; [0.999982357]
-Oc1ccc2cccc(-c3nc4cnccc4[nH]3)c2c1; [None]; [None]; [0]
-c1cc2[nH]c(-c3ccc4cn[nH]c4c3)nc2cn1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1ccc2cn[nH]c2c1', 'O=C(O)c1ccc2cn[nH]c2c1']; [0.999460042, 0.999460042]
-CCn1cc(-c2nc3cnccc3[nH]2)cn1; ['CCn1cc(C=O)cn1']; ['Nc1ccncc1N']; [0.999867439]
-Cc1nc(Nc2nc3cnccc3[nH]2)sc1C; [None]; [None]; [0]
-c1ccc2oc(-c3nc4cnccc4[nH]3)cc2c1; ['Nc1ccncc1N']; ['O=Cc1cc2ccccc2o1']; [0.999509]
-COC(=O)Nc1nc2cnccc2[nH]1; ['COC(=O)N=C(NC(=O)OC)SC']; ['Nc1ccncc1N']; [0.99942553]
-FC(F)(F)Oc1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N']; ['O=Cc1ccc(OC(F)(F)F)cc1']; [0.999998569]
-COc1cc(-c2nc3cnccc3[nH]2)c(OC)cc1Br; ['COc1cc(C=O)c(OC)cc1Br']; ['Nc1ccncc1N']; [0.999940157]
-CCc1cccc(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
-CC(C)Oc1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2nc3cnccc3[nH]2)nc1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-c1cc2[nH]c(-c3cscn3)nc2cn1; ['Nc1ccncc1N']; ['O=Cc1cscn1']; [0.999850512]
-OCCc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['O=C(O)c1cccc(N2CCCC2=O)c1']; [0.999915719]
-COc1cc(N2CCNCC2)ccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2nc3cnccc3[nH]2)c1; ['CS(=O)(=O)c1ccc(Cl)c(C(=O)O)c1']; ['Nc1ccncc1N']; [0.999909759]
-c1ccc(Nc2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
-Fc1ccc(Nc2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
-CCOc1ccccc1-c1nc2cnccc2[nH]1; ['CCOc1ccccc1C=O', 'CCOc1ccccc1C(=O)O']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999950767, 0.999950767]
-c1ccc2c(-c3nc4cnccc4[nH]3)ccnc2c1; ['Nc1ccncc1N']; ['O=Cc1ccnc2ccccc12']; [0.999975324]
-O[C@H]1C[C@@H](c2nc3cnccc3[nH]2)C1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-c1cc2[nH]c(-c3cc[nH]n3)nc2cn1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1cc[nH]n1', 'O=C(O)c1cc[nH]n1']; [0.999964118, 0.999964118]
-c1cncc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1cccnc1', 'O=Cc1cccnc1']; [0.9991768, 0.9991768]
-Fc1ccccc1-c1nc2cnccc2[nH]1; ['Nc1ccncc1N']; ['O=C(O)c1ccccc1F']; [0.999972463]
-Fc1cc(F)cc(Cc2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['O=C(O)Cc1cc(F)cc(F)c1']; [0.999983072]
-Brc1ccccc1-c1nc2cnccc2[nH]1; ['Nc1ccncc1N']; ['O=C(O)c1ccccc1Br']; [0.999860525]
-N#Cc1ccccc1-c1nc2cnccc2[nH]1; ['N#Cc1ccccc1C(=O)O', 'N#Cc1ccccc1C=O']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999895334, 0.999895334]
-FC(F)(F)c1cccc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['O=Cc1cccc(C(F)(F)F)c1']; [0.999993682]
-NC(=O)c1ccccc1-c1nc2cnccc2[nH]1; ['NC(=O)c1ccccc1C(=O)O']; ['Nc1ccncc1N']; [0.998347521]
-Clc1ccccc1-c1nc2cnccc2[nH]1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1ccccc1Cl', 'O=C(O)c1ccccc1Cl']; [0.999987602, 0.999987602]
-FC(F)(F)Oc1ccccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3nc4cnccc4[nH]3)cn2)cc1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1nc2cnccc2[nH]1; ['Nc1ccncc1N']; ['O=Cc1c(F)cccc1F']; [0.99997437]
-c1ccc(-c2ncc(-c3nc4cnccc4[nH]3)[nH]2)cc1; [None]; [None]; [0]
-c1cc(-c2nc3cnccc3[nH]2)ncn1; [None]; [None]; [0]
-N[C@H](c1nc2cnccc2[nH]1)c1ccco1; [None]; [None]; [0]
-OCCn1cc(-c2nc3cnccc3[nH]2)cn1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nc3cnccc3[nH]2)c1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2nc3cnccc3[nH]2)c(Br)c1; ['Cc1ccc(C(=O)O)c(Br)c1']; ['Nc1ccncc1N']; [0.99999392]
-c1cc2[nH]c(-c3ccc4c(c3)CCC4)nc2cn1; [None]; [None]; [0]
-c1cc2[nH]c(-c3cnco3)nc2cn1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1nc2cnccc2[nH]1; ['NCc1c(Cl)cccc1Cl', 'Nc1ccncc1N']; ['Nc1ccncc1N', 'O=Cc1c(Cl)cccc1Cl']; [0.999975085, 0.999975085]
-c1ccn2c(-c3nc4cnccc4[nH]3)cnc2c1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1cnc2ccccn12', 'O=Cc1cnc2ccccn12']; [0.999847054, 0.999847054]
-Cc1ccc(Cl)c(-c2nc3cnccc3[nH]2)c1; ['Cc1ccc(Cl)c(C(=O)O)c1']; ['Nc1ccncc1N']; [0.999974608]
-c1cc2[nH]c(OC3CCCCC3)nc2cn1; [None]; [None]; [0]
-CC(C)(C)Nc1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cc1ncc(-c2nc3cnccc3[nH]2)[nH]1; ['Cc1ncc(C=O)[nH]1']; ['Nc1ccncc1N']; [0.979610324]
-Clc1cccc(-c2nc3cnccc3[nH]2)c1Cl; ['Nc1ccncc1N']; ['O=Cc1cccc(Cl)c1Cl']; [0.999999404]
-c1cncc(CNc2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['S=C=NCc1cccnc1']; [0.998463511]
-COc1cccc(-c2nc3cnccc3[nH]2)c1; ['COc1cccc(C=O)c1']; ['Nc1ccncc1N']; [0.999907494]
-c1ccc2cc(-c3nc4cnccc4[nH]3)ccc2c1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1ccc2ccccc2c1', 'O=C(O)c1ccc2ccccc2c1']; [0.999880791, 0.999880791]
-c1cncc(Nc2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
-Nc1nccc(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
-C[C@H](CO)Nc1nc2cnccc2[nH]1; [None]; [None]; [0]
-Clc1ccc(-c2nc3cnccc3[nH]2)s1; ['Nc1ccncc1N']; ['O=Cc1ccc(Cl)s1']; [0.999917507]
-CC(C)COc1nc2cnccc2[nH]1; [None]; [None]; [0]
-O=C(Nc1nc2cnccc2[nH]1)c1cccs1; [None]; [None]; [0]
-c1ccc2c(-c3nc4cnccc4[nH]3)cncc2c1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1cncc2ccccc12', 'O=Cc1cncc2ccccc12']; [0.999987125, 0.999987125]
-c1ccc2c(c1)ncn2-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-c1cc(Nc2nc3cnccc3[nH]2)ccn1; [None]; [None]; [0]
-OCc1cccc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['OCc1cccc(CO)c1']; [0.999379277]
-c1csc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['O=Cc1cccs1']; [0.999940872]
-C[C@@H](O)[C@@H](C)Oc1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cn1cncc1-c1nc2cnccc2[nH]1; ['Cn1cncc1C(=O)O']; ['Nc1ccncc1N']; [0.99556458]
-CCC(=O)Nc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-N#CCCc1cccc(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
-COc1ccc(-c2nc3cnccc3[nH]2)cc1Cl; ['COc1ccc(C(=O)O)cc1Cl']; ['Nc1ccncc1N']; [0.999967575]
-CC(C)Nc1nc2cnccc2[nH]1; ['CC(C)N=C=S']; ['Nc1ccncc1N']; [0.993543148]
-Fc1ccc(-c2nc3cnccc3[nH]2)c(C(F)(F)F)c1; ['Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; ['O=Cc1ccc(F)cc1C(F)(F)F', 'O=Cc1ccc(F)cc1C(F)(F)F']; [0.999779761, 0.999779761]
-CCC(=O)Nc1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cc1cc(-c2nc3cnccc3[nH]2)no1; ['Cc1cc(C(=O)O)no1', 'Cc1cc(C=O)no1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999988198, 0.999988198]
-c1cc2[nH]c(-c3cnoc3)nc2cn1; ['Nc1ccncc1N']; ['O=C(O)c1cnoc1']; [0.997306228]
-CCCn1cc(-c2nc3cnccc3[nH]2)cn1; [None]; [None]; [0]
-CCOC(=O)Cc1nc2cnccc2[nH]1; ['CCOC(=N)CC(=O)OCC']; ['Nc1ccncc1N']; [0.999698162]
-O=C1CCc2cccc(-c3nc4cnccc4[nH]3)c21; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-CCN(CC)c1nc2cnccc2[nH]1; ['CCN(C#N)CC']; ['Nc1ccncc1N']; [0.985261261]
-O=c1[nH]ccc2oc(-c3nc4cnccc4[nH]3)cc12; [None]; [None]; [0]
-c1cc2[nH]c(-c3c[nH]c4cnccc34)nc2cn1; ['Nc1ccncc1N']; ['O=Cc1c[nH]c2cnccc12']; [0.999591172]
-C[S@](=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-c1ccc2ncc(Nc3nc4cnccc4[nH]3)cc2c1; [None]; [None]; [0]
-COc1ccncc1Nc1nc2cnccc2[nH]1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CS(=O)(=O)c1ccc(C=O)cc1']; ['Nc1ccncc1N']; [0.999694467]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2nc3cnccc3[nH]2)C1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1nc2cnccc2[nH]1; [None]; [None]; [0]
-COc1ccc(-c2nc3cnccc3[nH]2)c(OC)c1; ['COc1ccc(C(=O)O)c(OC)c1', 'COc1ccc(C=O)c(OC)c1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999982, 0.999982]
-Oc1ccc2nc(-c3nc4cnccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-c1cc2[nH]c(OC3CCOCC3)nc2cn1; [None]; [None]; [0]
-Nc1ncc(-c2nc3cnccc3[nH]2)s1; [None]; [None]; [0]
-Oc1ncccc1-c1nc2cnccc2[nH]1; ['Nc1ccncc1N']; ['O=C(O)c1cccnc1O']; [0.996708274]
-COc1cccc(F)c1-c1nc2cnccc2[nH]1; ['COc1cccc(F)c1C(=O)O']; ['Nc1ccncc1N']; [0.999953389]
-O=C(c1ccccc1)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N']; ['O=C(O)c1ccc(C(=O)c2ccccc2)cc1']; [0.998785079]
-Cc1cncc(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
-Nc1nnc(-c2nc3cnccc3[nH]2)s1; [None]; [None]; [0]
-Nc1nc(-c2nc3cnccc3[nH]2)nc2ccccc12; [None]; [None]; [0]
-c1cc(-c2nc3cnccc3[nH]2)c2sccc2c1; [None]; [None]; [0]
-c1ccc2sc(-c3nc4cnccc4[nH]3)nc2c1; [None]; [None]; [0]
-CC(C)(C)Oc1nc2cnccc2[nH]1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2nc3cnccc3[nH]2)c1; ['COc1ccc(OC)c(C(=O)O)c1', 'COc1ccc(OC)c(C=O)c1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999997258, 0.999997258]
-c1cnc2c(-c3nc4cnccc4[nH]3)c[nH]c2c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-N#Cc1ccc(-c2cccc3ncnn23)cc1; ['Clc1cccc2ncnn12']; ['N#Cc1ccc(B(O)O)cc1']; [0.99999845]
-CC(C)(C)CNc1nc2cnccc2[nH]1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2nc3cnccc3[nH]2)C1; [None]; [None]; [0]
-COc1ncccc1-c1cccc2ncnn12; ['COc1ncccc1B(O)O']; ['Clc1cccc2ncnn12']; [0.997149169]
-c1ccc2[nH]c(C3CCN(c4nc5cnccc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
-CCOc1ccc(-c2cccc3ncnn23)cc1; ['CCOc1ccc(B(O)O)cc1']; ['Clc1cccc2ncnn12']; [0.999990344]
-Cc1n[nH]cc1-c1cccc2ncnn12; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; ['Clc1cccc2ncnn12']; [0.999984503]
-COc1cc(-c2cccc3ncnn23)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['Clc1cccc2ncnn12']; [0.999236703]
-CS(=O)(=O)c1cccc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-Cn1cc(-c2cccc3ncnn23)cn1; ['Clc1cccc2ncnn12']; ['Cn1cc(B(O)O)cn1']; [0.999604762]
-Cn1nncc1-c1cccc2ncnn12; [None]; [None]; [0]
-Oc1cccc(-c2cccc3ncnn23)c1; ['Clc1cccc2ncnn12']; ['OB(O)c1cccc(O)c1']; [0.99996984]
-Cc1nn(C)cc1-c1cccc2ncnn12; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Clc1cccc2ncnn12']; [0.999854445]
-c1cc(-c2cnc3cccnn23)n2ncnc2c1; [None]; [None]; [0]
-COc1ccc(-c2cccc3ncnn23)cc1; ['COc1ccc(B(O)O)cc1']; ['Clc1cccc2ncnn12']; [0.999924064]
-Cc1cc(Nc2cccc3ncnn23)sn1; ['Cc1cc(N)sn1']; ['Clc1cccc2ncnn12']; [0.999938488]
-NC(=O)c1ccc(-c2cccc3ncnn23)cc1; ['Clc1cccc2ncnn12']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999987245]
-c1ccc2[nH]c(-c3cccc4ncnn34)nc2c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-c1ccc2c(Cc3cccc4ncnn34)nccc2c1; [None]; [None]; [0]
-O=C(Nc1cccc2ncnn12)C1CC1; ['Clc1cccc2ncnn12']; ['NC(=O)C1CC1']; [0.99968493]
-Clc1ccc(-c2cccc3ncnn23)cc1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc(Cl)cc1']; [0.999677658]
-c1cnc(Nc2cccc3ncnn23)nc1; ['Clc1cccc2ncnn12']; ['Nc1ncccn1']; [0.998241305]
-Fc1cccc(-c2cccc3ncnn23)c1; ['Clc1cccc2ncnn12']; ['OB(O)c1cccc(F)c1']; [0.999936581]
-c1cc(-c2cccc3ncnn23)cc(C2CCNCC2)c1; [None]; [None]; [0]
-c1cc(Nc2ccncn2)n2ncnc2c1; [None]; [None]; [0]
-OCCOc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc3ncnn23)cc1; ['CN(C)c1ccc(B(O)O)cc1']; ['Clc1cccc2ncnn12']; [0.999987483]
-CNS(=O)(=O)c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-Cc1cc(-c2cccc3ncnn23)nn1C; [None]; [None]; [0]
-Oc1ccccc1Cc1cccc2ncnn12; [None]; [None]; [0]
-c1cc(Cc2ccncc2)n2ncnc2c1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-c1cncc(Cc2cccc3ncnn23)c1; [None]; [None]; [0]
-Clc1ncc(-c2cccc3ncnn23)cn1; [None]; [None]; [0]
-c1cc(-c2cncnc2)n2ncnc2c1; ['Clc1cccc2ncnn12']; ['OB(O)c1cncnc1']; [0.999993324]
-Cc1nc(C)c(-c2cccc3ncnn23)s1; [None]; [None]; [0]
-COc1ccc(Cc2cccc3ncnn23)cc1; ['COc1ccc(C[Zn]Cl)cc1']; ['Clc1cccc2ncnn12']; [0.81570828]
-OC[C@@H](O)Cc1cccc2ncnn12; [None]; [None]; [0]
-c1cc(-n2ccnc2)n2ncnc2c1; ['Clc1cccc2ncnn12']; ['c1c[nH]cn1']; [0.999657631]
-Brc1ccc(-c2cccc3ncnn23)cc1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc(Br)cc1']; [0.999906063]
-COc1ccc(Cl)cc1-c1cccc2ncnn12; ['COc1ccc(Cl)cc1B(O)O']; ['Clc1cccc2ncnn12']; [0.995825887]
-c1c[nH]c(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-c1cc(-c2cn[nH]c2)n2ncnc2c1; [None]; [None]; [0]
-c1ccc2c(-c3cccc4ncnn34)c[nH]c2c1; [None]; [None]; [0]
-c1cc(-c2ccc3c(c2)CCO3)n2ncnc2c1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc2c(c1)CCO2']; [0.999996066]
-c1cc(Cn2ccnc2)n2ncnc2c1; [None]; [None]; [0]
-COc1cc(-c2cccc3ncnn23)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Clc1cccc2ncnn12']; [0.999487281]
-CC(=O)Nc1cccc(-c2cccc3ncnn23)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1cccc2ncnn12']; [0.999974966]
-c1ccc2cc(-c3cccc4ncnn34)ncc2c1; [None]; [None]; [0]
-c1cc2c(c(-c3cccc4ncnn34)c1)OCO2; [None]; [None]; [0]
-Fc1ccc(-c2cccc3ncnn23)cc1F; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc(F)c(F)c1']; [0.999994755]
-c1cc(-c2scc3c2OCCO3)n2ncnc2c1; [None]; [None]; [0]
-c1ccc2ncc(-c3cccc4ncnn34)cc2c1; ['Clc1cccc2ncnn12', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C']; ['OB(O)c1cnc2ccccc2c1', 'Clc1cccc2ncnn12']; [0.999983311, 0.999983311]
-COCCOc1cccc2ncnn12; ['COCCO', 'COCC[O-]', 'COCCO']; ['Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; [0.999652267, 0.999652267, 0.999652267]
-CC(C)(C)c1ccc(-c2cccc3ncnn23)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.999993801, 0.999993801]
-c1coc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-Cc1cc(-c2cccc3ncnn23)nc(N)n1; [None]; [None]; [0]
-CC1(COc2cccc3ncnn23)COC1; ['CC1(CO)COC1']; ['Fc1cccc2ncnn12']; [0.982053757]
-O[C@@H]1CC[C@@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cccc2ncnn12; [None]; [None]; [0]
-CSc1cccc(-c2cccc3ncnn23)c1; ['CSc1cccc(B(O)O)c1']; ['Clc1cccc2ncnn12']; [0.998316646]
-Fc1ccc(-c2cccc3ncnn23)c(Cl)c1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc(F)cc1Cl']; [0.999481499]
-O[C@@H]1CC[C@H](c2cccc3ncnn23)C1; [None]; [None]; [0]
-CCc1ccc(-c2cccc3ncnn23)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1cccc2ncnn12']; [0.999992251]
-Brc1cnc(-c2cccc3ncnn23)nc1; [None]; [None]; [0]
-COc1ccc(-c2cccc3ncnn23)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['Clc1cccc2ncnn12']; [0.99990344]
-COc1ccc(CNc2cccc3ncnn23)cc1; ['COc1ccc(CN)cc1']; ['Clc1cccc2ncnn12']; [0.9997316]
-Clc1ccc(-c2cccc3ncnn23)c(Cl)c1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.999638677]
-Cc1cc(C)cc(-c2cccc3ncnn23)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Clc1cccc2ncnn12']; [0.999776185]
-Cn1cc(-c2cccc3ncnn23)c(C(F)(F)F)n1; [None]; [None]; [0]
-c1cc(-c2ccsc2)n2ncnc2c1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccsc1']; [0.999992371]
-Oc1ccc2cccc(-c3cccc4ncnn34)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cccc3ncnn23)cc1OC; [None]; [None]; [0]
-COc1ccc2cccc(-c3cccc4ncnn34)c2c1; [None]; [None]; [0]
-Cc1nc(Nc2cccc3ncnn23)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2cccc3ncnn23)nn1C; ['Cc1cc(N)nn1C']; ['Clc1cccc2ncnn12']; [0.999975324]
-COc1cc(-c2cccc3ncnn23)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl']; ['Clc1cccc2ncnn12']; [0.999958158]
-COc1cc(OC)cc(-c2cccc3ncnn23)c1; ['COc1cc(OC)cc(B(O)O)c1']; ['Clc1cccc2ncnn12']; [0.999962926]
-COc1cc(-c2cccc3ncnn23)c(OC)cc1Br; [None]; [None]; [0]
-Cc1ccc(-c2cccc3ncnn23)o1; [None]; [None]; [0]
-CC(C)Oc1cccc2ncnn12; ['CC(C)O']; ['Clc1cccc2ncnn12']; [0.997479498]
-CCn1cc(-c2cccc3ncnn23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Clc1cccc2ncnn12']; [0.999965429]
-CNC(=O)c1ccc(-c2cccc3ncnn23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1cccc2ncnn12']; [0.999989033]
-COC(=O)Nc1cccc2ncnn12; [None]; [None]; [0]
-c1cc(-c2ccc3cn[nH]c3c2)n2ncnc2c1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999999523]
-c1cc(-c2cscn2)n2ncnc2c1; [None]; [None]; [0]
-c1ccc2oc(-c3cccc4ncnn34)cc2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cccc3ncnn23)cc1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999999642]
-CCc1cccc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3ncnn23)nc1C; [None]; [None]; [0]
-OCCc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cccc2ncnn12; [None]; [None]; [0]
-Fc1ccc(Nc2cccc3ncnn23)nc1; ['Clc1cccc2ncnn12']; ['Nc1ccc(F)cn1']; [0.999984503]
-c1ccc(Nc2cccc3ncnn23)nc1; ['Clc1cccc2ncnn12']; ['Nc1ccccn1']; [0.999968171]
-CCOc1ccccc1-c1cccc2ncnn12; ['CCOc1ccccc1B(O)O']; ['Clc1cccc2ncnn12']; [0.999729]
-CS(=O)(=O)c1ccc(Cl)c(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc2ncnn12; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cccc3ncnn23)C1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cccc3ncnn23)c1; ['Clc1cccc2ncnn12']; ['Fc1cc(F)cc(C[Zn]Br)c1']; [0.988254905]
-c1ccc2c(-c3cccc4ncnn34)ccnc2c1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccnc2ccccc12']; [0.999705374]
-FC(F)(F)c1cccc(-c2cccc3ncnn23)c1; ['Clc1cccc2ncnn12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999996781]
-c1cc(-c2cc[nH]n2)n2ncnc2c1; [None]; [None]; [0]
-c1cncc(-c2cccc3ncnn23)c1; ['Clc1cccc2ncnn12']; ['OB(O)c1cccnc1']; [0.999983907]
-Fc1ccccc1-c1cccc2ncnn12; ['Clc1cccc2ncnn12']; ['OB(O)c1ccccc1F']; [0.999886155]
-Clc1ccccc1-c1cccc2ncnn12; ['Clc1cccc2ncnn12']; ['OB(O)c1ccccc1Cl']; [0.997143567]
-N#Cc1ccccc1-c1cccc2ncnn12; ['Clc1cccc2ncnn12']; ['N#Cc1ccccc1B(O)O']; [0.997397184]
-c1ccc(Cn2cc(-c3cccc4ncnn34)cn2)cc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Clc1cccc2ncnn12']; [0.999965549]
-Brc1ccccc1-c1cccc2ncnn12; ['Clc1cccc2ncnn12']; ['OB(O)c1ccccc1Br']; [0.992359936]
-FC(F)(F)Oc1ccccc1-c1cccc2ncnn12; ['Clc1cccc2ncnn12']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999961853]
-NC(=O)c1ccccc1-c1cccc2ncnn12; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cccc2ncnn12; [None]; [None]; [0]
-c1cc(-c2ccncn2)n2ncnc2c1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1cccc2ncnn12; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cccc4ncnn34)[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cccc3ncnn23)c1)c1ccccc1; [None]; [None]; [0]
-c1cc(-c2ccc3c(c2)CCC3)n2ncnc2c1; [None]; [None]; [0]
-OCCn1cc(-c2cccc3ncnn23)cn1; [None]; [None]; [0]
-c1cc(-c2cnco2)n2ncnc2c1; [None]; [None]; [0]
-c1ccn2c(-c3cccc4ncnn34)cnc2c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cccc2ncnn12; ['Clc1cccc2ncnn12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.995058298]
-Cc1ccc(-c2cccc3ncnn23)c(Br)c1; [None]; [None]; [0]
-CC(C)(C)Nc1cccc2ncnn12; ['CC(C)(C)N']; ['Clc1cccc2ncnn12']; [0.997948945]
-Cc1ccc(Cl)c(-c2cccc3ncnn23)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1cccc2ncnn12']; [0.994791031]
-Cc1nc(N)sc1-c1cccc2ncnn12; [None]; [None]; [0]
-Clc1cccc(-c2cccc3ncnn23)c1Cl; ['Clc1cccc2ncnn12']; ['OB(O)c1cccc(Cl)c1Cl']; [0.998765]
-c1cc(OC2CCCCC2)n2ncnc2c1; ['Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; ['OC1CCCCC1', 'OC1CCCCC1']; [0.998273134, 0.998273134]
-c1cncc(CNc2cccc3ncnn23)c1; ['Clc1cccc2ncnn12']; ['NCc1cccnc1']; [0.999954581]
-Cc1ncc(-c2cccc3ncnn23)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
-Clc1ccc(-c2cccc3ncnn23)s1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc(Cl)s1']; [0.999899387]
-COc1cccc(-c2cccc3ncnn23)c1; ['COc1cccc(B(O)O)c1']; ['Clc1cccc2ncnn12']; [0.99984479]
-c1cncc(Nc2cccc3ncnn23)c1; ['Clc1cccc2ncnn12']; ['Nc1cccnc1']; [0.99972564]
-CC(C)COc1cccc2ncnn12; ['CC(C)CO']; ['Clc1cccc2ncnn12']; [0.970016897]
-c1ccc2cc(-c3cccc4ncnn34)ccc2c1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc2ccccc2c1']; [0.999978662]
-C[C@H](CO)Nc1cccc2ncnn12; ['C[C@@H](N)CO']; ['Clc1cccc2ncnn12']; [0.999907136]
-c1ccc2c(-c3cccc4ncnn34)cncc2c1; ['Clc1cccc2ncnn12']; ['OB(O)c1cncc2ccccc12']; [0.999835491]
-c1ccc2c(c1)ncn2-c1cccc2ncnn12; [None]; [None]; [0]
-O=C(Nc1cccc2ncnn12)c1cccs1; [None]; [None]; [0]
-c1cc(Nc2ccncc2)n2ncnc2c1; ['Clc1cccc2ncnn12']; ['Nc1ccncc1']; [0.999988794]
-C[C@@H](O)[C@@H](C)Oc1cccc2ncnn12; [None]; [None]; [0]
-OCc1cccc(-c2cccc3ncnn23)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Clc1cccc2ncnn12']; ['Clc1cccc2ncnn12', 'OCc1cccc(B(O)O)c1']; [0.999982834, 0.999982834]
-N#CCCc1cccc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-Cn1cncc1-c1cccc2ncnn12; [None]; [None]; [0]
-CC(C)Nc1cccc2ncnn12; ['CC(C)N']; ['Clc1cccc2ncnn12']; [0.999175489]
-c1csc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-CCC(=O)Nc1cccc2ncnn12; ['CCC(N)=O']; ['Clc1cccc2ncnn12']; [0.999286592]
-Fc1ccc(-c2cccc3ncnn23)c(C(F)(F)F)c1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999936819]
-CCC(=O)Nc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-Cc1cc(-c2cccc3ncnn23)no1; [None]; [None]; [0]
-c1cc(-c2cnoc2)n2ncnc2c1; [None]; [None]; [0]
-COc1ccc(-c2cccc3ncnn23)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Clc1cccc2ncnn12']; [0.999825418]
-CCCn1cc(-c2cccc3ncnn23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Clc1cccc2ncnn12']; [0.999982834]
-O=C1CCc2cccc(-c3cccc4ncnn34)c21; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1cccc2ncnn12; [None]; [None]; [0]
-COc1ccncc1Nc1cccc2ncnn12; ['COc1ccncc1N']; ['Clc1cccc2ncnn12']; [0.999997258]
-CCN(CC)c1cccc2ncnn12; ['CCNCC']; ['Clc1cccc2ncnn12']; [0.99180907]
-c1ccc2ncc(Nc3cccc4ncnn34)cc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cccc4ncnn34)cc12; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cccc3ncnn23)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
-c1cc(-c2c[nH]c3cnccc23)n2ncnc2c1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccc2ncnn12; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccc3ncnn23)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1cccc2ncnn12']; [0.999958873]
-NC(=O)c1c(F)cccc1-c1cccc2ncnn12; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1cccc2ncnn12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cccc2ncnn12; [None]; [None]; [0]
-Oc1ccc2nc(-c3cccc4ncnn34)[nH]c2c1; [None]; [None]; [0]
-Oc1ncccc1-c1cccc2ncnn12; [None]; [None]; [0]
-COc1ccc(-c2cccc3ncnn23)c(OC)c1; [None]; [None]; [0]
-c1cc(OC2CCOCC2)n2ncnc2c1; ['Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; ['OC1CCOCC1', 'OC1CCOCC1']; [0.999848604, 0.999848604]
-O=C(c1ccccc1)c1ccc(-c2cccc3ncnn23)cc1; ['Clc1cccc2ncnn12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999907732]
-Cc1cncc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
-Nc1nnc(-c2cccc3ncnn23)s1; [None]; [None]; [0]
-Nc1ncc(-c2cccc3ncnn23)s1; [None]; [None]; [0]
-c1cc(-c2cccc3ncnn23)c2sccc2c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cccc2ncnn12; ['COc1cccc(F)c1B(O)O']; ['Clc1cccc2ncnn12']; [0.999981642]
-c1ccc2sc(-c3cccc4ncnn34)nc2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cccc2ncnn12; [None]; [None]; [0]
-Nc1nc(-c2cccc3ncnn23)nc2ccccc12; [None]; [None]; [0]
-CC(C)(C)Oc1cccc2ncnn12; ['CC(C)(C)O']; ['Clc1cccc2ncnn12']; [0.999411702]
-c1cnc2c(-c3cccc4ncnn34)c[nH]c2c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cccc3ncnn23)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Clc1cccc2ncnn12']; [0.999725044]
-C[C@@]1(O)CC[C@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
-CC(C)(C)CNc1cccc2ncnn12; ['CC(C)(C)CN']; ['Clc1cccc2ncnn12']; [0.999348938]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cccc3ncnn23)C1; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(O)cc2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['Oc1ccc(Br)cc1']; [0.787523329]
-c1ccc2[nH]c(C3CCN(c4cccc5ncnn45)CC3)nc2c1; [None]; [None]; [0]
-Cn1cc(Nc2sc3c(c2C#N)CCCC3)cn1; [None]; [None]; [0]
-N#Cc1c(Nc2cccc3ncccc23)sc2c1CCCC2; ['Brc1cccc2ncccc12']; ['N#Cc1c(N)sc2c1CCCC2']; [0.986065507]
-N#Cc1c(Nc2ccncc2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(Cl)c(O)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['Oc1cc(Br)ccc1Cl']; [0.995553792]
-N#Cc1c(Nc2n[nH]c3ccccc23)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2cn[nH]c2)sc2c1CCCC2; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2sc3c(c2C#N)CCCC3)cc1; [None]; [None]; [0]
-N#Cc1c(Nc2c(Cl)cccc2Cl)sc2c1CCCC2; ['Fc1c(Cl)cccc1Cl']; ['N#Cc1c(N)sc2c1CCCC2']; [0.988461614]
-N#Cc1c(Nc2c(F)cccc2F)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(O)cc2Cl)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['Oc1ccc(Br)c(Cl)c1']; [0.802027047]
-Cc1ncc(Nc2sc3c(c2C#N)CCCC3)[nH]1; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(C(N)=O)cc2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccccc2Cl)sc2c1CCCC2; ['Fc1ccccc1Cl', 'N#Cc1c(N)sc2c1CCCC2']; ['N#Cc1c(N)sc2c1CCCC2', 'Nc1ccccc1Cl']; [0.884685218, 0.884685218]
-N#Cc1c(N[C@@H]2C[C@H](O)C2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccnc(N)n2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['Nc1nccc(Cl)n1']; [0.999757946]
-COc1cc(Nc2sc3c(c2C#N)CCCC3)ccc1O; ['COc1cc(Br)ccc1O']; ['N#Cc1c(N)sc2c1CCCC2']; [0.988313913]
-N#Cc1cnc(Nc2sc3c(c2C#N)CCCC3)cn1; ['N#Cc1c(N)sc2c1CCCC2']; ['N#Cc1cnc(Cl)cn1']; [0.997543871]
-C[C@@H](O)CNc1sc2c(c1C#N)CCCC2; ['C[C@@H]1CO1']; ['N#Cc1c(N)sc2c1CCCC2']; [0.962757945]
-N#Cc1c(Nc2cc[nH]c2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(NC[C@@H](O)CO)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['OC[C@@H]1CO1']; [0.986207724]
-N#Cc1ccc(Nc2sc3c(c2C#N)CCCC3)cc1; [None]; [None]; [0]
-N#Cc1c(Nc2cnccn2)sc2c1CCCC2; ['Clc1cnccn1']; ['N#Cc1c(N)sc2c1CCCC2']; [0.999422669]
-COC(=O)c1ccc(Nc2sc3c(c2C#N)CCCC3)o1; [None]; [None]; [0]
-N#Cc1c(Nc2ccoc2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1ccc(Nc2sc3c(c2C#N)CCCC3)cn1; [None]; [None]; [0]
-N#Cc1c(Nc2cccc(Br)c2)sc2c1CCCC2; ['Brc1cccc(Br)c1']; ['N#Cc1c(N)sc2c1CCCC2']; [0.946935296]
-N#Cc1c(Nc2cccs2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(O)cc2O)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['Oc1ccc(Br)c(O)c1']; [0.800552666]
-N#Cc1c(Nc2ccncn2)sc2c1CCCC2; ['Clc1ccncn1']; ['N#Cc1c(N)sc2c1CCCC2']; [0.978873849]
-COC(=O)c1ccc(Cl)c(Nc2sc3c(c2C#N)CCCC3)c1; [None]; [None]; [0]
-N#Cc1c(NCOc2ccccc2Cl)sc2c1CCCC2; [None]; [None]; [0]
-Cc1ccc(O)cc1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(F)c(Cl)c2)sc2c1CCCC2; [None]; [None]; [0]
-Cc1ccc(Nc2sc3c(c2C#N)CCCC3)cc1C; ['Cc1ccc(N)cc1C']; ['N#Cc1c(N)sc2c1CCCC2']; [0.983582258]
-Cc1ccc(CO)cc1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2cnc(O)c(Cl)c2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2cc(O)ccc2Cl)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['Oc1ccc(Cl)c(Br)c1']; [0.984333456]
-COc1ccc(Nc2sc3c(c2C#N)CCCC3)cc1OC; [None]; [None]; [0]
-COc1cc(Nc2sc3c(c2C#N)CCCC3)cc(OC)c1; [None]; [None]; [0]
-Cc1nc2ccc(Nc3sc4c(c3C#N)CCCC4)cc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Nc2sc3c(c2C#N)CCCC3)cc1; [None]; [None]; [0]
-N#Cc1c(Nc2ccc3c(c2)CC(=O)N3)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['O=C1Cc2cc(Br)ccc2N1']; [0.982379794]
-N#Cc1c(Nc2ccc(NC(N)=O)cc2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2nc3ccccc3s2)sc2c1CCCC2; [None]; [None]; [0]
-Cc1cc(O)ccc1Nc1sc2c(c1C#N)CCCC2; ['Cc1cc(O)ccc1Br']; ['N#Cc1c(N)sc2c1CCCC2']; [0.983992636]
-N#Cc1c(Nc2cncc(O)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['Oc1cncc(Br)c1', 'Oc1cncc(Cl)c1']; [0.996414304, 0.996414304]
-N#Cc1c(N[C@H]2CC[C@@H](C(N)=O)CC2)sc2c1CCCC2; [None]; [None]; [0]
-CCc1cc(O)ccc1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
-Cc1cccc(C)c1Nc1sc2c(c1C#N)CCCC2; ['Cc1cccc(C)c1N']; ['N#Cc1c(N)sc2c1CCCC2']; [0.798247635]
-CCc1sccc1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2cc(Cl)c(O)c(Cl)c2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccc3c(c2)CCN3)sc2c1CCCC2; ['Brc1ccc2c(c1)CCN2']; ['N#Cc1c(N)sc2c1CCCC2']; [0.942509711]
-N#Cc1c(Nc2nccs2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccc3[nH]c(=O)[nH]c3c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.998218954]
-N#Cc1c(Nc2cc(N)n[nH]2)sc2c1CCCC2; [None]; [None]; [0]
-Cc1csc(Nc2sc3c(c2C#N)CCCC3)n1; ['Cc1csc(Cl)n1']; ['N#Cc1c(N)sc2c1CCCC2']; [0.99521178]
-N#Cc1c(Nc2ccc(Br)cc2F)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2cc(O)cc(Br)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['Oc1cc(Br)cc(Br)c1']; [0.810566187]
-CNC(=O)c1ccc(Nc2sc3c(c2C#N)CCCC3)cc1; [None]; [None]; [0]
-Cc1ccc(Nc2sc3c(c2C#N)CCCC3)nc1C; [None]; [None]; [0]
-Cc1ccc(Nc2sc3c(c2C#N)CCCC3)c(C)n1; [None]; [None]; [0]
-N#Cc1c(Nc2cnco2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2cc(F)c(O)c(F)c2)sc2c1CCCC2; [None]; [None]; [0]
-Cc1nc2ccc(Nc3sc4c(c3C#N)CCCC4)cc2o1; [None]; [None]; [0]
-CSc1cccc(Nc2sc3c(c2C#N)CCCC3)c1; [None]; [None]; [0]
-c1cc(-c2cnc3ccccn23)c2cccnc2c1; ['Brc1cccc2ncccc12', 'Brc1cccc2ncccc12']; ['c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999773085, 0.999773085]
-N#Cc1c(Nc2ccc3c(=O)[nH][nH]c3c2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(F)cc2Cl)sc2c1CCCC2; ['Fc1ccc(Br)c(Cl)c1', 'N#Cc1c(N)sc2c1CCCC2']; ['N#Cc1c(N)sc2c1CCCC2', 'Nc1ccc(F)cc1Cl']; [0.989802957, 0.989802957]
-Cn1cc(-c2cnc3ccccn23)cn1; ['Brc1cnc2ccccn12']; ['Cn1cc(B(O)O)cn1']; [0.999973416]
-CCc1ccc(-c2cnc3ccccn23)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Cl)cc1']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999932528, 0.999932528, 0.999932528]
-Oc1cc(-c2cnc3ccccn23)ccc1Cl; ['Oc1ccccc1Cl']; ['c1ccn2ccnc2c1']; [0.879773259]
-Fc1cccc(F)c1-c1cnc2ccccn12; ['Brc1cnc2ccccn12']; ['OB(O)c1c(F)cccc1F']; [0.999798357]
-c1ccc2c(-c3cnc4ccccn34)n[nH]c2c1; [None]; [None]; [0]
-Fc1ccc(Oc2cnc3ccccn23)cc1; ['Clc1cnc2ccccn12']; ['Oc1ccc(F)cc1']; [0.999616265]
-Clc1cccc(Cl)c1-c1cnc2ccccn12; ['Clc1cccc(Cl)c1Br', 'Ic1cnc2ccccn12', 'Clc1cccc(Cl)c1Cl']; ['c1ccn2ccnc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'c1ccn2ccnc2c1']; [0.999987125, 0.999987125, 0.999987125]
-CNS(=O)(=O)c1ccc(-c2cnc3ccccn23)cc1; [None]; [None]; [0]
-Oc1ccc(-c2cnc3ccccn23)c(Cl)c1; ['Oc1cccc(Cl)c1']; ['c1ccn2ccnc2c1']; [0.89634043]
-NC(=O)c1ccc(-c2cnc3ccccn23)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C']; ['Ic1cnc2ccccn12']; [0.999999881]
-Cc1ncc(-c2cnc3ccccn23)[nH]1; [None]; [None]; [0]
-Clc1ccccc1-c1cnc2ccccn12; ['Clc1ccccc1Br', 'Clc1ccccc1Cl']; ['c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999996185, 0.999996185]
-O[C@H]1C[C@@H](c2cnc3ccccn23)C1; [None]; [None]; [0]
-COc1cc(-c2cnc3ccccn23)ccc1O; ['Brc1cnc2ccccn12']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; [0.999997377]
-Nc1nccc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
-N#Cc1cnc(-c2cnc3ccccn23)cn1; [None]; [None]; [0]
-c1ccn2c(-c3cnccn3)cnc2c1; [None]; [None]; [0]
-c1ccn2c(-c3cc[nH]c3)cnc2c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc3ccccn23)cc1; ['N#Cc1ccc(Br)cc1', 'N#Cc1ccccc1']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999925256, 0.999925256]
-COC(=O)c1ccc(-c2cnc3ccccn23)o1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc3ccccn23)cn1; ['Brc1cnc2ccccn12', 'N#Cc1ccc(Br)cn1']; ['N#Cc1ccc(B(O)O)cn1', 'c1ccn2ccnc2c1']; [0.999983072, 0.999983072]
-c1ccn2c(-c3ccoc3)cnc2c1; ['Brc1ccoc1']; ['c1ccn2ccnc2c1']; [0.999971271]
-COc1cc(CCc2cnc3ccccn23)ccc1O; [None]; [None]; [0]
-Brc1cccc(-c2cnc3ccccn23)c1; ['OB(O)c1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Clc1cccc(Br)c1', 'Brc1ccccc1']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999993563, 0.999993563, 0.999993563, 0.999993563]
-Clc1cccc(OCc2cnc3ccccn23)c1; [None]; [None]; [0]
-OCCCc1cnc2ccccn12; [None]; [None]; [0]
-c1csc(-c2cnc3ccccn23)c1; ['Brc1cccs1']; ['c1ccn2ccnc2c1']; [0.999317169]
-COC(=O)c1ccc(Cl)c(-c2cnc3ccccn23)c1; ['COC(=O)c1ccc(Cl)c(I)c1']; ['c1ccn2ccnc2c1']; [0.999884486]
-Oc1ccc(-c2cnc3ccccn23)c(O)c1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3ccccn23)cc1Cl; ['Ic1cnc2ccccn12']; ['OB(O)c1ccc(F)c(Cl)c1']; [0.999999881]
-Clc1ccccc1OCc1cnc2ccccn12; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cnc2ccccn12; [None]; [None]; [0]
-Cc1ccc(-c2cnc3ccccn23)cc1C; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnc2ccccn12; [None]; [None]; [0]
-Oc1ncc(-c2cnc3ccccn23)cc1Cl; ['Oc1ncccc1Cl']; ['c1ccn2ccnc2c1']; [0.999549]
-Oc1ccc(Cl)c(-c2cnc3ccccn23)c1; [None]; [None]; [0]
-COc1ccc(-c2cnc3ccccn23)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; ['c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999961257, 0.999961257]
-Cc1ccc(CO)cc1-c1cnc2ccccn12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc3ccccn23)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1']; ['Ic1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.999997616, 0.999997616, 0.999997616, 0.999997616]
-O=c1ccccn1Cc1cnc2ccccn12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc3ccccn23)cc1; ['CS(=O)(=O)c1ccc(Br)cc1']; ['c1ccn2ccnc2c1']; [0.999872565]
-NC(=O)Nc1ccc(-c2cnc3ccccn23)cc1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc4ccccn34)cc2[nH]1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cnc4ccccn34)ccc2N1; ['Brc1cnc2ccccn12']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; [0.999987841]
-Oc1cncc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
-c1ccc2sc(-c3cnc4ccccn34)nc2c1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnc2ccccn12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cnc2ccccn12; ['Cc1cccc(C)c1I']; ['c1ccn2ccnc2c1']; [0.999933243]
-CCc1cc(O)ccc1-c1cnc2ccccn12; [None]; [None]; [0]
-c1ccn2c(-n3ccnc3)cnc2c1; ['Brc1cnc2ccccn12']; ['c1c[nH]cn1']; [0.988205314]
-NC(=O)[C@H]1CC[C@@H](c2cnc3ccccn23)CC1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2cnc3ccccn23)cc1Cl; ['Oc1c(Cl)cccc1Cl']; ['c1ccn2ccnc2c1']; [0.973090708]
-Cc1cc(O)ccc1-c1cnc2ccccn12; ['Cc1cc(O)ccc1B(O)O', 'Brc1cnc2ccccn12', 'Cc1cc(O)ccc1I']; ['Ic1cnc2ccccn12', 'Cc1cc(O)ccc1B(O)O', 'c1ccn2ccnc2c1']; [0.999860644, 0.999860644, 0.999860644]
-c1ccn2c(-c3nccs3)cnc2c1; [None]; [None]; [0]
-CCc1sccc1-c1cnc2ccccn12; ['CCc1cccs1']; ['c1ccn2ccnc2c1']; [0.988479555]
-Nc1cc(-c2cnc3ccccn23)[nH]n1; [None]; [None]; [0]
-c1ccn2c(Nc3ccncc3)cnc2c1; ['Ic1ccncc1']; ['Nc1cnc2ccccn12']; [0.962693]
-O=c1[nH]c2ccc(-c3cnc4ccccn34)cc2[nH]1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cnc2ccccn12; ['Fc1cc(Br)ccc1Br']; ['c1ccn2ccnc2c1']; [0.999612749]
-c1ccn2c(-c3ccc4c(c3)CCN4)cnc2c1; [None]; [None]; [0]
-Cc1csc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnc2ccccn12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3ccccn23)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['Ic1cnc2ccccn12']; [0.999998927]
-Cc1ccc(-c2cnc3ccccn23)nc1C; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2cnc3ccccn23)c1; ['Oc1cc(Br)cc(Br)c1']; ['c1ccn2ccnc2c1']; [0.999082685]
-Cc1ccc(-c2cnc3ccccn23)c(C)n1; ['Cc1ccc(Br)c(C)n1']; ['O=C(O)c1cnc2ccccn12']; [0.999729812]
-Cc1nc2ccc(-c3cnc4ccccn34)cc2o1; [None]; [None]; [0]
-c1ccn2c(-c3cnco3)cnc2c1; [None]; [None]; [0]
-CSc1cccc(-c2cnc3ccccn23)c1; ['CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1']; ['Ic1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.999985, 0.999985]
-Oc1c(F)cc(-c2cnc3ccccn23)cc1F; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3cnc4ccccn34)ccc12; [None]; [None]; [0]
-c1ccc(COc2cnc3ccccn23)cc1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3ccccn23)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(Cl)c(Cl)c1']; ['c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.999999642, 0.999999642, 0.999999642]
-Fc1ccccc1Oc1cnc2ccccn12; ['Clc1cnc2ccccn12']; ['Oc1ccccc1F']; [0.999977589]
-Fc1ccc(Oc2cnc3ccccn23)c(F)c1; ['Clc1cnc2ccccn12']; ['Oc1ccc(F)cc1F']; [0.99998486]
-Fc1ccc(Cc2cnc3ccccn23)cc1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1cnc2ccccn12; ['Clc1cnc2ccccn12']; ['NCc1c(F)cccc1Cl']; [0.999999285]
-COc1cc2nccc(O)c2cc1-c1ccc(O)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccncc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnn(C)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc2ncccc12; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cn[nH]c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(Cl)c(O)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1n[nH]c2ccccc12; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1c(F)cccc1F; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnc(C)[nH]1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(O)cc1Cl; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccnc(N)n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccccc1Cl; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc[nH]c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1C[C@@H](C)O; [None]; [None]; [0]
-COc1cc(-c2cc3c(O)ccnc3cc2OC)ccc1O; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1C[C@@H](O)CO; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C#N)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnc(C#N)cn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnccn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccoc1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)o1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C#N)nc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccs1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(Br)c1; ['Brc1cccc(I)c1']; ['COc1ccc2c(O)ccnc2c1']; [0.891622365]
-COc1cc2nccc(O)c2cc1-c1ccc(O)cc1O; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccncn1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1COc1ccccc1Cl; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(O)ccc1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C)c(C)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(CO)ccc1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(O)ccc1Cl; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(-c2cc3c(O)ccnc3cc2OC)cc1OC; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2nc(C)[nH]c2c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1nc2ccccc2s1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2c(c1)CC(=O)N2; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cncc(O)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1[C@@H]1CC[C@H](C(N)=O)CC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(O)cc1C; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1c(C)cccc1C; [None]; [None]; [0]
-CCc1sccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(Cl)c(O)c(Cl)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1nccs1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2[nH]c(=O)[nH]c2c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1nc(C)cs1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(Br)cc1F; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C)c(C)n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(O)cc(Br)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C)nc1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnco1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(F)c(O)c(F)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2nc(C)oc2c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2c(=O)[nH][nH]c2c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(F)cc1Cl; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(SC)c1; [None]; [None]; [0]
-CCOc1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccnc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1c[nH]nc1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(OC)c(OC)c(OC)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cn(C)nc1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnnn1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnc2cccnn12; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(O)c1; [None]; [None]; [0]
-COc1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Nc1cc(C)ns1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Nc1ncccn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cc1nccc2ccccc12; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(F)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(Cl)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1NC(=O)C1CC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(OCCO)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Nc1ccncn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(C)n(C)n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(N(C)C)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cc1ccccc1O; ['COc1ccc2c(O)ccnc2c1']; ['OCc1ccccc1O']; [0.907097399]
-COc1cc2nccc(O)c2cc1-c1sc(C)nc1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cc1cccnc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cc1ccncc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1C[C@H](O)CO; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cncnc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnc(Cl)nc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(Br)cc1; [None]; [None]; [0]
-COc1ccc(Cc2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-n1ccnc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc[nH]1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc2ccccc2cn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cn1ccnc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(NC(C)=O)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1scc2c1OCCO2; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc2c1OCO2; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(F)c(F)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnc2ccccc2c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
-COCCOc1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccco1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1OCC1(C)COC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(C)nc(N)n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-CCc1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ncc(Br)cn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccsc1; [None]; [None]; [0]
-COc1ccc(CNc2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc4c(O)ccnc4cc3OC)c2c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(C)cc(C)c1; [None]; [None]; [0]
-COc1cc(-c2cc3c(O)ccnc3cc2OC)ccc1Cl; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
-COc1cc(F)c(-c2cc3c(O)ccnc3cc2OC)cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C)o1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Nc1nc(C)c(C)s1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Nc1cc(C)n(C)n1; [None]; [None]; [0]
-COc1cc(-c2cc3c(O)ccnc3cc2OC)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1OC(C)C; [None]; [None]; [0]
-CCn1cc(-c2cc3c(O)ccnc3cc2OC)cn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
-COC(=O)Nc1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc2ccccc2o1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-CCc1cccc(-c2cc3c(O)ccnc3cc2OC)n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cscn1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Nc1ccc(F)cn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(CCO)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Nc1ccccn1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cnc3[nH]cccc2-3)C1; [None]; [None]; [0]
-CCOc1ccccc1-c1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2']; ['CCOc1ccccc1B(O)O']; [0.999890804]
-c1c[nH]c2ncc(-c3ccnc4ccccc34)c-2c1; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1ccnc2ccccc12']; [0.998830616]
-Fc1cc(F)cc(Cc2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999944925]
-c1cncc(-c2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1cccnc1']; [0.997683167]
-Clc1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-Brc1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3cc[nH]n3)c-2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2', 'Brc1cnc2[nH]cccc1-2']; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999978423, 0.999978423]
-Fc1ccccc1-c1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1ccccc1F']; [0.997610092]
-Fc1cccc(F)c1-c1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1c(F)cccc1F']; [0.998397171]
-N#Cc1ccccc1-c1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2']; ['N#Cc1ccccc1B(O)O']; [0.999518275]
-NC(=O)c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cnc4[nH]cccc3-4)cn2)cc1; ['Brc1cnc2[nH]cccc1-2']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; [0.999966]
-N[C@@H](c1ccco1)c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cnc4[nH]cccc3-4)[nH]2)cc1; [None]; [None]; [0]
-OCCn1cc(-c2cnc3[nH]cccc2-3)cn1; ['Brc1cnc2[nH]cccc1-2']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; [0.999391437]
-c1c[nH]c2ncc(-c3ccc4c(c3)CCC4)c-2c1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3ccncn3)c-2c1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3[nH]cccc2-3)c(Br)c1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3cnc4ccccn34)c-2c1; ['Brc1cnc2[nH]cccc1-2']; ['c1ccn2ccnc2c1']; [0.992911041]
-O=C(Nc1cccc(-c2cnc3[nH]cccc2-3)c1)c1ccccc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnc3[nH]cccc2-3)s1; ['Brc1cnc2[nH]cccc1-2']; ['Cc1csc(C)n1']; [0.995036423]
-Clc1cccc(Cl)c1-c1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1c(Cl)cccc1Cl']; [0.994802713]
-c1c[nH]c2ncc(-c3cnc4cccnn34)c-2c1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3cnco3)c-2c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.9894889]
-c1c[nH]c2ncc(OC3CCCCC3)c-2c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-Cc1ncc(-c2cnc3[nH]cccc2-3)[nH]1; [None]; [None]; [0]
-c1cncc(CNc2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
-CC(C)(C)Nc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-COc1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3ccc4ccccc4c3)c-2c1; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1ccc2ccccc2c1']; [0.999979258]
-c1cncc(Nc2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['Nc1cccnc1']; [0.999212861]
-Clc1cccc(-c2cnc3[nH]cccc2-3)c1Cl; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1cccc(Cl)c1Cl']; [0.997366369]
-C[C@H](CO)Nc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-Nc1nccc(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
-Clc1ccc(-c2cnc3[nH]cccc2-3)s1; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1ccc(Cl)s1']; [0.999901175]
-CC(C)COc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1c[nH]c2ncc(-n3cnc4ccccc43)c-2c1; ['Brc1cnc2[nH]cccc1-2']; ['c1ccc2[nH]cnc2c1']; [0.952483058]
-O=C(Nc1cnc2[nH]cccc1-2)c1cccs1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3cncc4ccccc34)c-2c1; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1cncc2ccccc12']; [0.999161959]
-Oc1cccc(-c2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1cccc(O)c1']; [0.996052265]
-Cn1cncc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-OCc1cccc(-c2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['OCc1cccc(B(O)O)c1']; [0.997414]
-c1c[nH]c2ncc(Nc3ccncc3)c-2c1; ['Brc1cnc2[nH]cccc1-2']; ['Nc1ccncc1']; [0.999384522]
-c1coc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
-c1csc(-c2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1cccs1']; [0.999971271]
-N#CCCc1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]cccc2-3)cn1; ['Brc1cnc2[nH]cccc1-2']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999947548]
-CC(=O)Nc1cccc(-c2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['CC(=O)Nc1cccc(B(O)O)c1']; [0.999269307]
-CCC(=O)Nc1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
-CC(C)Nc1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2']; ['CC(C)N']; [0.984680355]
-CCC(=O)Nc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-Fc1ccc(-c2cnc3[nH]cccc2-3)c(C(F)(F)F)c1; ['Brc1cnc2[nH]cccc1-2', 'Brc1cnc2[nH]cccc1-2']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1']; [0.999467194, 0.999467194]
-Cc1cc(-c2cnc3[nH]cccc2-3)no1; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]cccc2-3)cc1Cl; ['Brc1cnc2[nH]cccc1-2']; ['COc1ccc(B(O)O)cc1Cl']; [0.999576151]
-c1c[nH]c2ncc(-c3cnoc3)c-2c1; [None]; [None]; [0]
-CCCn1cc(-c2cnc3[nH]cccc2-3)cn1; ['Brc1cnc2[nH]cccc1-2']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999974966]
-O=C1CCc2cccc(-c3cnc4[nH]cccc3-4)c21; [None]; [None]; [0]
-CCOC(=O)Cc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cnc3[nH]cccc2-3)cc1; ['Brc1cnc2[nH]cccc1-2']; ['CS(=O)c1ccc(B(O)O)cc1']; [0.998586416]
-CC(C)(N)c1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cnc4[nH]cccc3-4)cc12; [None]; [None]; [0]
-c1c[nH]c2ncc(Nc3cnc4ccccc4c3)c-2c1; ['Brc1cnc2[nH]cccc1-2']; ['Nc1cnc2ccccc2c1']; [0.995717943]
-c1c[nH]c2ncc(-c3c[nH]c4ccccc34)c-2c1; [None]; [None]; [0]
-CCN(CC)c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3c[nH]c4cnccc34)c-2c1; [None]; [None]; [0]
-COc1ccncc1Nc1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2']; ['COc1ccncc1N']; [0.994346201]
-N#CCC(=O)N1CCC[C@@H](c2cnc3[nH]cccc2-3)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cnc3[nH]cccc2-3)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc3[nH]cccc2-3)cc1; ['Brc1cnc2[nH]cccc1-2']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.998924911]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3[nH]cccc2-3)cc1; ['Brc1cnc2[nH]cccc1-2']; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; [0.998159707]
-N#CC[C@@H]1CC[C@@H](c2cnc3[nH]cccc2-3)CC1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-Oc1ncccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]cccc2-3)c(OC)c1; ['Brc1cnc2[nH]cccc1-2']; ['COc1ccc(B(O)O)c(OC)c1']; [0.99994421]
-c1c[nH]c2ncc(-n3ncc4ccccc43)c-2c1; [None]; [None]; [0]
-c1c[nH]c2ncc(Cc3ccncc3)c-2c1; [None]; [None]; [0]
-c1c[nH]c2ncc(-n3ccnc3)c-2c1; ['Brc1cnc2[nH]cccc1-2']; ['c1c[nH]cn1']; [0.816225]
-Oc1ccc2nc(-c3cnc4[nH]cccc3-4)[nH]c2c1; [None]; [None]; [0]
-c1c[nH]c2ncc(OC3CCOCC3)c-2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cnc3[nH]cccc2-3)cc1; ['Brc1cnc2[nH]cccc1-2']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999435]
-Cc1cncc(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
-Nc1nnc(-c2cnc3[nH]cccc2-3)s1; [None]; [None]; [0]
-Nc1ncc(-c2cnc3[nH]cccc2-3)s1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3nc4ccccc4s3)c-2c1; ['Nc1ccccc1S']; ['O=Cc1cnc2[nH]cccc1-2']; [0.999896407]
-COc1cccc(F)c1-c1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2']; ['COc1cccc(F)c1B(O)O']; [0.999208629]
-c1c[nH]c2ncc(-c3cccc4ccsc34)c-2c1; [None]; [None]; [0]
-Nc1nc(-c2cnc3[nH]cccc2-3)nc2ccccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2']; ['COc1ccc(C#N)cc1Br']; [0.99662149]
-CC(C)(C)CNc1cnc2[nH]cccc1-2; ['Brc1cnc2[nH]cccc1-2']; ['CC(C)(C)CN']; [0.998208761]
-c1c[nH]c2ncc(-c3c[nH]c4cccnc34)c-2c1; [None]; [None]; [0]
-c1cncc(Cc2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['Cc1cc(C)cc(B(O)O)c1']; [0.999812305]
-CC(C)(C)Oc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['COc1ccc(OC)c(B(O)O)c1']; [0.999049246]
-C[C@@]1(O)CC[C@H](c2cnc3[nH]cccc2-3)CC1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cnc3[nH]cccc2-3)C1; [None]; [None]; [0]
-c1c[nH]c2ncc(N3CCC(c4nc5ccccc5[nH]4)CC3)c-2c1; [None]; [None]; [0]
-Cc1cc2c(Cc3cc(F)cc(F)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@@H]3C[C@H](O)C3)ccnc2[nH]1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(-c3cc[nH]n3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc(C(F)(F)F)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccnc4ccccc34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3F)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3Cl)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccnc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3C#N)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3OC(F)(F)F)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3Br)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnn(Cc4ccccc4)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3c(F)cccc3F)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3C(N)=O)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccncn3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@@H](N)c3ccco3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnc(-c4ccccc4)[nH]3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc4c(c3)CCC4)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc(NC(=O)c4ccccc4)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnn(CCO)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnco3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2ccnc3[nH]c(C)cc23)c(Br)c1; [None]; [None]; [0]
-Cc1cc2c(-c3cnc4ccccn34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3sc(N)nc3C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnc4cccnn34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3sc(C)nc3C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(NC(C)(C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3c(Cl)cccc3Cl)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(OC3CCCCC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(NCc3cccnc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccnc3[nH]c(C)cc23)c1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc(Cl)c3Cl)ccnc2[nH]1; [None]; [None]; [0]
-COc1cccc(-c2ccnc3[nH]c(C)cc23)c1; [None]; [None]; [0]
-Cc1cc2c(-c3ccnc(N)n3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnc(C)[nH]3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc(Cl)s3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc4ccccc4c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(Nc3cccnc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-n3cnc4ccccc43)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(N[C@H](C)CO)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(OCC(C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(NC(=O)c3cccs3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(O[C@H](C)[C@@H](C)O)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cncc4ccccc34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc(O)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc(CO)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cncn3C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(Nc3ccncc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccs3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccco3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnn(C)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(NC(C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc(CCC#N)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc(F)cc3C(F)(F)F)ccnc2[nH]1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccnc3[nH]c(C)cc23)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccnc3[nH]c(C)cc23)c1; [None]; [None]; [0]
-COc1ccc(-c2ccnc3[nH]c(C)cc23)cc1Cl; [None]; [None]; [0]
-CCC(=O)Nc1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(-c3cc(C)on3)ccnc2[nH]1; [None]; [None]; [0]
-CCCn1cc(-c2ccnc3[nH]c(C)cc23)cn1; [None]; [None]; [0]
-Cc1cc2c(-c3cnoc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc4c3C(=O)CC4)ccnc2[nH]1; [None]; [None]; [0]
-CCOC(=O)Cc1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(-c3ccc(C(C)(C)N)cc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc([S@](C)=O)cc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cc4c(=O)[nH]ccc4o3)ccnc2[nH]1; [None]; [None]; [0]
-CCN(CC)c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(-c3c[nH]c4ccccc34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(Nc3cnc4ccccc4c3)ccnc2[nH]1; [None]; [None]; [0]
-COc1ccncc1Nc1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(-c3c[nH]c4cnccc34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@@H]3CCCN(C(=O)CC#N)C3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@H](CO)Cc3ccccc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@@H]3CC[C@@H](C#N)CC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@H]3COCC[C@@H]3C#N)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@@H]3CC[C@@H](CC#N)CC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc(S(C)(=O)=O)cc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)ccnc2[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccnc3[nH]c(C)cc23)cc1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc(F)c3C(N)=O)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-n3ncc4c(O)cccc43)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-n3ncc4ccccc43)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(Cc3ccncc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccnc3O)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3nc4ccc(O)cc4[nH]3)ccnc2[nH]1; [None]; [None]; [0]
-COc1ccc(-c2ccnc3[nH]c(C)cc23)c(OC)c1; [None]; [None]; [0]
-Cc1cc2c(OC3CCOCC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc(C(=O)c4ccccc4)cc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3nnc(N)s3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-n3ccnc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnc(N)s3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3nc4ccccc4s3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cncc(-c2ccnc3[nH]c(C)cc23)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(-c3cccc4ccsc34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3c[nH]c4cccnc34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3nc(N)c4ccccc4n3)ccnc2[nH]1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(OC(C)(C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(Cc3cccnc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(NCC(C)(C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@H]3CC[C@@](C)(O)CC3)ccnc2[nH]1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccnc3[nH]c(C)cc23)c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccnc3[nH]c(C)cc23)c1; [None]; [None]; [0]
-N#Cc1ccc(NC(=O)c2ccoc2)cc1; ['N#Cc1ccc(N)cc1']; ['O=C(Cl)c1ccoc1']; [0.999795]
-Cc1cc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)ccnc2[nH]1; [None]; [None]; [0]
-COc1ncccc1NC(=O)c1ccoc1; ['COc1ncccc1N']; ['O=C(O)c1ccoc1']; [0.996879816]
-Cc1cc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1n[nH]cc1NC(=O)c1ccoc1; ['Cc1n[nH]cc1N']; ['O=C(Cl)c1ccoc1']; [0.999119818]
-CCOc1ccc(NC(=O)c2ccoc2)cc1; ['CCOc1ccc(N)cc1', 'CCOc1ccc(N)cc1']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1']; [0.99939394, 0.99939394]
-CS(=O)(=O)c1cccc(NC(=O)c2ccoc2)c1; ['CS(=O)(=O)c1cccc(N)c1']; ['O=C(Cl)c1ccoc1']; [0.999708712]
-COc1cc(NC(=O)c2ccoc2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC']; ['O=C(O)c1ccoc1', 'O=C(Cl)c1ccoc1']; [0.998746276, 0.998746276]
-Cn1cc(NC(=O)c2ccoc2)cn1; [None]; [None]; [0]
-O=C(Nc1cccc(O)c1)c1ccoc1; ['Nc1cccc(O)c1']; ['O=C(O)c1ccoc1']; [0.989828587]
-Cn1nncc1NC(=O)c1ccoc1; [None]; [None]; [0]
-Cc1nn(C)cc1NC(=O)c1ccoc1; ['Cc1nn(C)cc1N', 'Cc1nn(C)cc1N']; ['O=C(O)c1ccoc1', 'O=C(Cl)c1ccoc1']; [0.999917865, 0.999917865]
-NC(=O)c1ccc(NC(=O)c2ccoc2)cc1; ['NC(=O)c1ccc(N)cc1']; ['O=C(O)c1ccoc1']; [0.997677743]
-COc1ccc(NC(=O)c2ccoc2)cc1; ['COc1ccc(N)cc1']; ['O=C(O)c1ccoc1']; [0.997425079]
-O=C(Nc1cnc2cccnn12)c1ccoc1; [None]; [None]; [0]
-O=C(NNc1ncccn1)c1ccoc1; ['NNc1ncccn1']; ['O=C(O)c1ccoc1']; [0.993552446]
-O=C(Nc1nc2ccccc2[nH]1)c1ccoc1; ['Nc1nc2ccccc2[nH]1']; ['O=C(Cl)c1ccoc1']; [0.993993223]
-O=C(Nc1cccc(F)c1)c1ccoc1; ['Nc1cccc(F)c1']; ['O=C(Cl)c1ccoc1']; [0.998589]
-O=C(NCc1nccc2ccccc12)c1ccoc1; ['NCc1nccc2ccccc12', 'COC(=O)c1ccoc1']; ['O=C(O)c1ccoc1', 'NCc1nccc2ccccc12']; [0.999436438, 0.999436438]
-O=C(NCCCO)c1ccoc1; ['NCCCO', 'NCCCO']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1']; [0.998814702, 0.998814702]
-O=C(Nc1ccccc1)c1ccc(NC(=O)c2ccoc2)cc1; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; ['O=C(O)c1ccoc1']; [0.956769645]
-O=C(Nc1ccc(Cl)cc1)c1ccoc1; ['Nc1ccc(Cl)cc1', 'Nc1ccc(Cl)cc1']; ['O=C(O)c1ccoc1', 'O=C(Cl)c1ccoc1']; [0.997965097, 0.997965097]
-Cc1cc(NC(=O)c2ccoc2)nn1C; ['Cc1cc(N)nn1C']; ['O=C(O)c1ccoc1']; [0.959685624]
-O=C(Nc1ccc(OCCO)cc1)c1ccoc1; [None]; [None]; [0]
-O=C(Nc1cccc(C2CCNCC2)c1)c1ccoc1; [None]; [None]; [0]
-O=C(Nc1ccc(C(F)(F)F)cc1)c1ccoc1; ['Nc1ccc(C(F)(F)F)cc1']; ['O=C(Cl)c1ccoc1']; [0.999712765]
-CNS(=O)(=O)c1ccc(NC(=O)c2ccoc2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1']; [0.998987734, 0.998987734]
-O=C(Nc1cnc(Cl)nc1)c1ccoc1; ['Nc1cnc(Cl)nc1']; ['O=C(O)c1ccoc1']; [0.997215033]
-Cc1nc(C)c(NC(=O)c2ccoc2)s1; [None]; [None]; [0]
-O=C(Nc1ccc(Br)cc1)c1ccoc1; ['Nc1ccc(Br)cc1']; ['O=C(Cl)c1ccoc1']; [0.999694824]
-C[C@H](O)COc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1NC(=O)c1ccoc1; ['COc1ccc(Cl)cc1N']; ['O=C(Cl)c1ccoc1']; [0.998560607]
-CN(C)c1ccc(NC(=O)c2ccoc2)cc1; ['CN(C)c1ccc(N)cc1']; ['O=C(O)c1ccoc1']; [0.998831451]
-O=C(Nc1cncnc1)c1ccoc1; ['Nc1cncnc1']; ['O=C(Cl)c1ccoc1']; [0.998654962]
-O=C(Nc1c[nH]c2ccccc12)c1ccoc1; [None]; [None]; [0]
-O=C(Nc1cc2ccccc2cn1)c1ccoc1; ['Nc1cc2ccccc2cn1']; ['O=C(O)c1ccoc1']; [0.999074817]
-O=C(Nc1cn[nH]c1)c1ccoc1; ['Nc1cn[nH]c1']; ['O=C(Cl)c1ccoc1']; [0.999655604]
-O=C(Nc1ccc[nH]1)c1ccoc1; [None]; [None]; [0]
-O=C(Nc1ccc2c(c1)CCO2)c1ccoc1; ['Brc1ccc2c(c1)CCO2']; ['NC(=O)c1ccoc1']; [0.997718]
-COc1cc(NC(=O)c2ccoc2)ccc1O; ['COc1cc(N)ccc1O']; ['O=C(O)c1ccoc1']; [0.993142068]
-O=C(Nc1ccc(F)c(F)c1)c1ccoc1; ['Nc1ccc(F)c(F)c1']; ['O=C(Cl)c1ccoc1']; [0.99990356]
-CC(=O)Nc1cccc(NC(=O)c2ccoc2)c1; ['CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1']; [0.996275306, 0.996275306]
-O=C(Nc1cccc2c1OCO2)c1ccoc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(NC(=O)c2ccoc2)cc1; ['CC(C)(C)c1ccc(N)cc1']; ['O=C(O)c1ccoc1']; [0.999339521]
-O=C(Nc1scc2c1OCCO2)c1ccoc1; [None]; [None]; [0]
-O=C(Nc1cnc2ccccc2c1)c1ccoc1; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1']; [0.999952793, 0.999952793]
-CSc1cccc(NC(=O)c2ccoc2)c1; ['COC(=O)c1ccoc1']; ['CSc1cccc(N)c1']; [0.982396364]
-Cc1cc(NC(=O)c2ccoc2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['NC(=O)c1ccoc1']; [0.992434502]
-O=C(Nc1ccco1)c1ccoc1; [None]; [None]; [0]
-O=C(N[C@@H]1CC[C@@H](O)CC1)c1ccoc1; ['N[C@H]1CC[C@H](O)CC1']; ['O=C(O)c1ccoc1']; [0.997951925]
-O=C(Nc1ccc(F)cc1Cl)c1ccoc1; ['Nc1ccc(F)cc1Cl']; ['O=C(Cl)c1ccoc1']; [0.992266595]
-CC[C@@H](CO)NC(=O)c1ccoc1; ['CC[C@H](N)CO', 'CC[C@H](N)CO', 'CCOC(=O)c1ccoc1']; ['O=C(O)c1ccoc1', 'O=C(Cl)c1ccoc1', 'CC[C@H](N)CO']; [0.999520063, 0.999520063, 0.999520063]
-O=C(Nc1ncc(Br)cn1)c1ccoc1; ['Nc1ncc(Br)cn1']; ['O=C(O)c1ccoc1']; [0.997453749]
-O=C(Nc1ccc(Cl)cc1Cl)c1ccoc1; ['Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1']; [0.9967224, 0.9967224]
-COc1ccc(NC(=O)c2ccoc2)cc1OC; ['COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1']; [0.998154819, 0.998154819]
-O=C(Nc1ccsc1)c1ccoc1; ['Nc1ccsc1']; ['O=C(Cl)c1ccoc1']; [0.996865094]
-O=C(N[C@H]1CC[C@@H](O)C1)c1ccoc1; [None]; [None]; [0]
-Cc1cc(C)cc(NC(=O)c2ccoc2)c1; ['Cc1cc(C)cc(N)c1']; ['O=C(O)c1ccoc1']; [0.995029926]
-CCc1ccc(NC(=O)c2ccoc2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(N)cc1']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1']; [0.999212742, 0.999212742]
-COc1ccc2cccc(NC(=O)c3ccoc3)c2c1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccoc2)ccc1Cl; ['COc1cc(N)ccc1Cl']; ['O=C(O)c1ccoc1']; [0.997982264]
-Cn1cc(NC(=O)c2ccoc2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(F)c(NC(=O)c2ccoc2)cc1OC; [None]; [None]; [0]
-O=C(Nc1cccc2ccc(O)cc12)c1ccoc1; ['Nc1cccc2ccc(O)cc12']; ['O=C(O)c1ccoc1']; [0.998970866]
-COc1cc(NC(=O)c2ccoc2)cc(OC)c1; ['COc1cc(N)cc(OC)c1']; ['O=C(Cl)c1ccoc1']; [0.999083161]
-COc1cc(NC(=O)c2ccoc2)c(OC)cc1Br; [None]; [None]; [0]
-Cc1ccc(NC(=O)c2ccoc2)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2ccoc2)cc1; ['CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1']; ['O=C(O)c1ccoc1', 'O=C(Cl)c1ccoc1']; [0.998534918, 0.998534918]
-O=C(Nc1ccc2cn[nH]c2c1)c1ccoc1; ['Nc1ccc2cn[nH]c2c1']; ['O=C(Cl)c1ccoc1']; [0.999767125]
-CCc1cccc(NC(=O)c2ccoc2)n1; ['CCc1cccc(N)n1']; ['O=C(O)c1ccoc1']; [0.998877]
-O=C(Nc1cc2ccccc2o1)c1ccoc1; [None]; [None]; [0]
-O=C(Nc1ccc(OC(F)(F)F)cc1)c1ccoc1; ['Nc1ccc(OC(F)(F)F)cc1']; ['O=C(Cl)c1ccoc1']; [0.999936342]
-O=C(Nc1cscn1)c1ccoc1; ['Clc1cscn1']; ['NC(=O)c1ccoc1']; [0.997440577]
-O=C(Nc1ccc(CCO)cc1)c1ccoc1; ['Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1']; [0.999802649, 0.999802649]
-Cc1ccc(NC(=O)c2ccoc2)nc1C; [None]; [None]; [0]
-O=C(Nc1cccc(N2CCCC2=O)c1)c1ccoc1; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1']; [0.998676717, 0.998676717]
-COc1cc(N2CCNCC2)ccc1NC(=O)c1ccoc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(NC(=O)c2ccoc2)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-COc1ncccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-COc1cc(-c2nc(C(N)=O)cs2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1nncc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-Cn1cc(-c2nc(C(N)=O)cs2)cn1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-COc1ccc(-c2nc(C(N)=O)cs2)cc1; []; []; []
-NC(=O)c1csc(-c2cccc(O)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(Nc2ncccn2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(F)c2)n1; []; []; []
-NC(=O)c1csc(-c2ccc(C(=O)Nc3ccccc3)cc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(Cc2nccc3ccccc23)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(Cl)cc2)n1; []; []; []
-NC(=O)c1csc(-c2ccc(OCCO)cc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(C3CCNCC3)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(CCCO)n1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-Cc1cc(-c2nc(C(N)=O)cs2)nn1C; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(C(F)(F)F)cc2)n1; []; []; []
-CN(C)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnc(Cl)nc2)n1; [None]; [None]; [0]
-Cc1nc(C)c(-c2nc(C(N)=O)cs2)s1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(Br)cc2)n1; []; []; []
-NC(=O)c1csc(-c2cncnc2)n1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cn[nH]c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc[nH]2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cc3ccccc3cn2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc3c(c2)CCO3)n1; []; []; []
-CC(=O)Nc1cccc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc3c2OCO3)n1; [None]; [None]; [0]
-COc1cc(-c2nc(C(N)=O)cs2)ccc1O; [None]; [None]; [0]
-NC(=O)c1csc(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnc3ccccc3c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(F)c(F)c2)n1; [None]; [None]; [0]
-Cc1cc(-c2nc(C(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccco2)n1; [None]; [None]; [0]
-CC[C@@H](CO)c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc([C@@H]2CC[C@@H](O)CC2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(F)cc2Cl)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ncc(Br)cn2)n1; [None]; [None]; [0]
-NC(=O)c1csc([C@H]2CC[C@@H](O)C2)n1; [None]; [None]; [0]
-CCc1ccc(-c2nc(C(N)=O)cs2)cc1; []; []; []
-COc1ccc(-c2nc(C(N)=O)cs2)cc1OC; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(Cl)cc2Cl)n1; [None]; [None]; [0]
-Cn1cc(-c2nc(C(N)=O)cs2)c(C(F)(F)F)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccsc2)n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc3ccc(O)cc23)n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3nc(C(N)=O)cs3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2nc(C(N)=O)cs2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2nc(C(N)=O)cs2)ccc1Cl; [None]; [None]; [0]
-Cc1ccc(-c2nc(C(N)=O)cs2)o1; [None]; [None]; [0]
-COc1cc(-c2nc(C(N)=O)cs2)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc(OC)cc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc3cn[nH]c3c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cc3ccccc3o2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(OC(F)(F)F)cc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cscn2)n1; [None]; [None]; [0]
-CCc1cccc(-c2nc(C(N)=O)cs2)n1; [None]; [None]; [0]
-Cc1ccc(-c2nc(C(N)=O)cs2)nc1C; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(N3CCCC3=O)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(CCO)cc2)n1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc([C@@H]2C[C@H](O)C2)n1; [None]; [None]; [0]
-CCOc1ccccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(Cc2cc(F)cc(F)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(C(F)(F)F)c2)n1; []; []; []
-NC(=O)c1csc(-c2cc[nH]n2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccccc2Cl)n1; []; []; []
-NC(=O)c1csc(-c2ccccc2F)n1; []; []; []
-NC(=O)c1csc(-c2ccnc3ccccc23)n1; [None]; [None]; [0]
-N#Cc1ccccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccccc2OC(F)(F)F)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccnc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccccc2Br)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnn(Cc3ccccc3)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2c(F)cccc2F)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccccc2C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccncn2)n1; [None]; [None]; [0]
-NC(=O)c1csc([C@@H](N)c2ccco2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(NC(=O)c3ccccc3)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc3c(c2)CCC3)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnn(CCO)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnco2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
-Cc1ccc(-c2nc(C(N)=O)cs2)c(Br)c1; [None]; [None]; [0]
-NC(=O)c1csc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
-CC(C)(C)Nc1nc(C(N)=O)cs1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(Cl)c2Cl)n1; [None]; [None]; [0]
-NC(=O)c1csc(OC2CCCCC2)n1; [None]; [None]; [0]
-Cc1ncc(-c2nc(C(N)=O)cs2)[nH]1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
-NC(=O)c1csc(NCc2cccnc2)n1; [None]; [None]; [0]
-COc1cccc(-c2nc(C(N)=O)cs2)c1; []; []; []
-NC(=O)c1csc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(Cl)s2)n1; [None]; [None]; [0]
-NC(=O)c1csc(Nc2cccnc2)n1; [None]; [None]; [0]
-C[C@H](CO)Nc1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(NC(=O)c2cccs2)n1; ['NC(=O)c1csc(N)n1']; ['O=C(Cl)c1cccs1']; [0.999735296]
-NC(=O)c1csc(-n2cnc3ccccc32)n1; [None]; [None]; [0]
-CC(C)COc1nc(C(N)=O)cs1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(CO)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccs2)n1; []; []; []
-Cn1cncc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cncc3ccccc23)n1; [None]; [None]; [0]
-CC(C)Nc1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(Nc2ccncc2)n1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(F)cc2C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc(-c2nc(C(N)=O)cs2)cc1Cl; [None]; [None]; [0]
-N#CCCc1cccc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-CCC(=O)Nc1nc(C(N)=O)cs1; ['CCC(=O)Cl', 'CCC(=O)O']; ['NC(=O)c1csc(N)n1', 'NC(=O)c1csc(N)n1']; [0.999045312, 0.999045312]
-Cc1cc(-c2nc(C(N)=O)cs2)no1; [None]; [None]; [0]
-CCCn1cc(-c2nc(C(N)=O)cs2)cn1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnoc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc3c2C(=O)CC3)n1; [None]; [None]; [0]
-CCOC(=O)Cc1nc(C(N)=O)cs1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cc3c(=O)[nH]ccc3o2)n1; [None]; [None]; [0]
-COc1ccncc1Nc1nc(C(N)=O)cs1; [None]; [None]; [0]
-CCN(CC)c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
-NC(=O)c1csc([C@H](CO)Cc2ccccc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(Nc2cnc3ccccc3c2)n1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2nc(C(N)=O)cs2)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(-n2ncc3ccccc32)n1; [None]; [None]; [0]
-NC(=O)c1csc(-n2ncc3c(O)cccc32)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(F)c2C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
-NC(=O)c1csc(Cc2ccncc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccnc2O)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(C(=O)c3ccccc3)cc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(OC2CCOCC2)n1; [None]; [None]; [0]
-COc1ccc(-c2nc(C(N)=O)cs2)c(OC)c1; [None]; [None]; [0]
-NC(=O)c1csc(-c2nnc(N)s2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnc(N)s2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-n2ccnc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
-Cc1cncc(-c2nc(C(N)=O)cs2)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
-CC(C)(C)Oc1nc(C(N)=O)cs1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(Cc2cccnc2)n1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-CC(C)(C)CNc1nc(C(N)=O)cs1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-NC(=O)c1csc(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; [None]; [None]; [0]
-NC(=O)c1csc(N2CC=C(c3c[nH]c4ccccc34)CC2)n1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccnc3ccccc23)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc([C@@H]2C[C@H](O)C2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc[nH]n2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccnc2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc(C(F)(F)F)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccccc2F)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccccc2Br)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccccc2Cl)cc1O; [None]; [None]; [0]
-N#Cc1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccccc2OC(F)(F)F)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnn(Cc3ccccc3)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2c(F)cccc2F)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccncn2)cc1O; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1)c1ccccc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnn(CCO)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc3c(c2)CCC3)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnco2)cc1O; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c(Br)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnc3ccccn23)cc1O; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)s1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnc3cccnn23)cc1O; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2c(Cl)cccc2Cl)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc(Cl)c2Cl)cc1O; [None]; [None]; [0]
-Nc1nccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(Cl)s2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc3ccccc3c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cncc3ccccc23)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc(CO)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc(O)c2)cc1O; [None]; [None]; [0]
-Cn1cncc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccco2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccs2)cc1O; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cn1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(CC[C@@H](O)CO)cc1O; [None]; [None]; [0]
-N#CCCc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-CC[C@H](CO)c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(F)cc2C(F)(F)F)cc1O; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)no1; [None]; [None]; [0]
-COc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1Cl; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnoc2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc3c2C(=O)CC3)cc1O; [None]; [None]; [0]
-CCCn1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cn1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc3c(=O)[nH]ccc3o2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2c[nH]c3ccccc23)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2c[nH]c3cnccc23)cc1O; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc(C(=O)Nc3ccccc3)c(O)c2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc(C(=O)Nc3ccccc3)c(O)c2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc(C(=O)Nc3ccccc3)c(O)c2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccnc2O)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2nc3ccc(O)cc3[nH]2)cc1O; [None]; [None]; [0]
-COc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)s1; [None]; [None]; [0]
-Nc1nnc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)s1; [None]; [None]; [0]
-Cc1cncc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2nc3ccccc3s2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc3ccsc23)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2c[nH]c3cccnc23)cc1O; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ccc(C(=O)Nc3ccccc3)c(O)c2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(O)cc2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccncc2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc3ncccc23)cc1O; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cn[nH]c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(Cl)c(O)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2n[nH]c3ccccc23)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Oc2ccc(F)cc2)cc1O; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(O)cc2Cl)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc[nH]c2)cc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)ccc1O; [None]; [None]; [0]
-N#Cc1cnc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnccn2)cc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)o1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccoc2)cc1O; [None]; [None]; [0]
-COc1cc(CCc2ccc(C(=O)Nc3ccccc3)c(O)c2)ccc1O; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cn1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(COc2cccc(Cl)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc(Br)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(CCCO)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(O)cc2O)cc1O; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(COc2ccccc2Cl)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(F)c(Cl)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc([C@H](CO)c2ccccc2)cc1O; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1C; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc(O)ccc2Cl)cc1O; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnc(O)c(Cl)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Cn2ccccc2=O)cc1O; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-COc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1OC; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cncc(O)c2)cc1O; [None]; [None]; [0]
-O=C1Cc2cc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)ccc2N1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ccc(C(=O)Nc3ccccc3)c(O)c2)CC1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-n2ccnc2)cc1O; [None]; [None]; [0]
-CCc1sccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc(Cl)c(O)c(Cl)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2nccs2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc3c(c2)CCN3)cc1O; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)[nH]n1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc3[nH]c(=O)[nH]c3c2)cc1O; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Nc2ccncc2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(Br)cc2F)cc1O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-Cc1csc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)nc1C; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c(C)n1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc(O)cc(Br)c2)cc1O; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2o1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc(F)c(O)c(F)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc3c(=O)[nH][nH]c3c2)cc1O; [None]; [None]; [0]
-CSc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(OCc2ccccc2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Oc2ccc(F)cc2F)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Oc2ccccc2F)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(F)cc2Cl)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Cc2ccc(F)cc2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(NCc2c(F)cccc2Cl)cc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(C#N)cc2)ccc1C(N)=O; [None]; [None]; [0]
-CCOc1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
-COc1cc(-c2c[nH]nc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccnc2OC)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(S(C)(=O)=O)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnnn2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(OC)c(OC)c(OC)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cn(C)nc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnc3cccnn23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(O)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
-COc1cc(-c2nc3ccccc3[nH]2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(Nc2ncccn2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(Cc2nccc3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(F)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(Cl)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(CCCO)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(OCCO)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(C3CCNCC3)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(C)n(C)n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(OC[C@H](C)O)cc2)ccc1C(N)=O; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
-COc1cc(-c2ccc(C(F)(F)F)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(N(C)C)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2sc(C)nc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnc(Cl)nc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cncnc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(Br)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(Cl)ccc2OC)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cn[nH]c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2c[nH]c3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc[nH]2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc3c(c2)CCO3)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc3ccccc3cn2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(NC(C)=O)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)c(OC)c2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2cccc3c2OCO3)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2scc3c2OCCO3)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(F)c(F)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(C)(C)C)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnc3ccccc3c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccco2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(C)nc(N)n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(SC)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@@H](O)CC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(F)cc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-CC[C@@H](CO)c1ccc(C(N)=O)c(OC)c1; [None]; [None]; [0]
-COc1cc([C@H]2CC[C@@H](O)C2)ccc1C(N)=O; [None]; [None]; [0]
-COc1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2ncc(Br)cn2)ccc1C(N)=O; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
-COc1cc(-c2ccsc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(Cl)cc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cn(C)nc2C(F)(F)F)ccc1C(N)=O; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccc(C(N)=O)c(OC)c3)c2c1; [None]; [None]; [0]
-COc1cc(-c2cc(C)cc(C)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc3ccc(O)cc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)c(OC)c2)ccc1Cl; [None]; [None]; [0]
-COc1cc(F)c(-c2ccc(C(N)=O)c(OC)c2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2ccc(C)o2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)c(OC)c2)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc(-c2ccc3cn[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
-COc1cc(-c2cc3ccccc3o2)ccc1C(N)=O; [None]; [None]; [0]
-CCc1cccc(-c2ccc(C(N)=O)c(OC)c2)n1; [None]; [None]; [0]
-COc1cc(-c2ccc(OC(F)(F)F)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cscn2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C)c(C)n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(CCO)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(N3CCCC3=O)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(N3CCNCC3)cc2OC)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(O)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(S(C)(=O)=O)ccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccncc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(Cl)c(O)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc3ncccc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2c(Cl)cccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2c(F)cccc2F)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(Oc2ccc(F)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnc(C)[nH]2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(O)cc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccnc(N)n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc([C@@H]2C[C@H](O)C2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc[nH]c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnccn2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnc(C#N)cn2)ccc1C(N)=O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)o1; [None]; [None]; [0]
-COc1cc(CCc2ccc(C(N)=O)c(OC)c2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(C#N)nc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccoc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(Br)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccs2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(COc2cccc(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
-COc1cc(-c2ccncn2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(O)cc2O)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(F)c(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc([C@H](CO)c2ccccc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(COc2ccccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C)c(C)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(O)ccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(O)ccc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnc(O)c(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(Cn2ccccc2=O)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(CO)ccc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(NC(N)=O)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(S(C)(=O)=O)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc3nc(C)[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cncc(O)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc3c(c2)CC(=O)N3)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2nc3ccccc3s2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc([C@H](C)CC(N)=O)ccc1C(N)=O; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccc(C(N)=O)c(OC)c1; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@H](C(N)=O)CC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2c(C)cccc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-n2ccnc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(O)cc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(Cl)c(O)c(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2nccs2)ccc1C(N)=O; [None]; [None]; [0]
-CCc1sccc1-c1ccc(C(N)=O)c(OC)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)n[nH]2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc3c(c2)CCN3)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(Nc2ccncc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(Br)cc2F)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2c(N)cnn2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C)nc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(O)cc(Br)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2nc(C)cs2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc3nc(C)oc3c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(F)c(O)c(F)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnco2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(OCc2ccccc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(Oc2ccc(F)cc2F)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(Cc2ccc(F)cc2)ccc1C(N)=O; ['COc1ccccc1C(N)=O']; ['Fc1ccc(CCl)cc1']; [0.860022843]
-COc1cc(-c2ccc3c(=O)[nH][nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
-CCOc1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CCOc1ccc(N)cc1', 'CCOc1ccc([N+](=O)[O-])cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'O=C(Cl)c1ccc(Br)cc1']; [0.999931, 0.999931]
-COc1cc(NCc2c(F)cccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-Cc1n[nH]cc1NC(=O)c1ccc(Br)cc1; ['Cc1n[nH]cc1N']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999871969]
-CS(=O)(=O)c1cccc(NC(=O)c2ccc(Br)cc2)c1; ['CS(=O)(=O)c1cccc(N)c1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.99975282]
-COc1cc(Oc2ccccc2F)ccc1C(N)=O; [None]; [None]; [0]
-N#Cc1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['N#Cc1ccc(N)cc1', 'Brc1ccc(I)cc1', 'N#Cc1ccc(Br)cc1', 'N#Cc1ccc(N)cc1']; ['O=C(O)c1ccc(Br)cc1', 'N#Cc1ccc(N=C=O)cc1', 'NC(=O)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.999845386, 0.999845386, 0.999845386, 0.999845386]
-COc1ncccc1NC(=O)c1ccc(Br)cc1; ['COc1ncccc1N']; ['O=C(O)c1ccc(Br)cc1']; [0.99847883]
-Cn1cc(NC(=O)c2ccc(Br)cc2)cn1; ['Cn1cc(N)cn1', 'Cn1cc(N)cn1']; ['O=C(Cl)c1ccc(Br)cc1', 'O=C(O)c1ccc(Br)cc1']; [0.999934077, 0.999934077]
-COc1cc(NC(=O)c2ccc(Br)cc2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'COC(=O)c1ccc(Br)cc1']; ['O=C(O)c1ccc(Br)cc1', 'COc1cc(N)cc(OC)c1OC']; [0.999627352, 0.999627352]
-Cn1nncc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(O)c1)c1ccc(Br)cc1; ['Nc1cccc(O)c1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.998232841]
-Cc1nn(C)cc1NC(=O)c1ccc(Br)cc1; ['Cc1nn(C)cc1N']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999760926]
-NC(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'O=C(O)c1ccc(Br)cc1']; [0.999961, 0.999961]
-COc1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(N)cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'O=C(O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1', 'OCc1ccc(Br)cc1']; [0.999889612, 0.999889612, 0.999889612, 0.999889612, 0.999889612]
-O=C(Nc1cnc2cccnn12)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(NNc1ncccn1)c1ccc(Br)cc1; ['NNc1ncccn1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.99999547]
-O=C(NCc1nccc2ccccc12)c1ccc(Br)cc1; ['COC(=O)c1ccc(Br)cc1']; ['NCc1nccc2ccccc12']; [0.995173633]
-O=C(Nc1cccc(F)c1)c1ccc(Br)cc1; ['Nc1cccc(F)c1', 'Brc1ccc(Br)cc1', 'Nc1cccc(F)c1', 'COC(=O)c1ccc(Br)cc1']; ['O=C(O)c1ccc(Br)cc1', 'O=C=Nc1cccc(F)c1', 'O=Cc1ccc(Br)cc1', 'Nc1cccc(F)c1']; [0.997237802, 0.997237802, 0.997237802, 0.997237802]
-O=C(NCCCO)c1ccc(Br)cc1; ['CCOC(=O)c1ccc(Br)cc1', 'COC(=O)c1ccc(Br)cc1']; ['NCCCO', 'NCCCO']; [0.99037081, 0.99037081]
-O=C(Nc1nc2ccccc2[nH]1)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)Nc2ccccc2)cc1)c1ccc(Br)cc1; ['Nc1ccc(C(=O)Nc2ccccc2)cc1', 'NC(=O)c1ccc(Br)cc1', 'COC(=O)c1ccc(Br)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'O=C(O)c1ccc(Br)cc1']; [0.942542672, 0.942542672, 0.942542672, 0.942542672]
-Cc1cc(NC(=O)c2ccc(Br)cc2)nn1C; ['Cc1cc(N)nn1C']; ['O=C(O)c1ccc(Br)cc1']; [0.999522448]
-O=C(Nc1ccc(Cl)cc1)c1ccc(Br)cc1; ['Nc1ccc(Cl)cc1']; ['O=C(O)c1ccc(Br)cc1']; [0.999124]
-O=C(Nc1ccc(OCCO)cc1)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(C(F)(F)F)cc1)c1ccc(Br)cc1; ['Nc1ccc(C(F)(F)F)cc1']; ['O=Cc1ccc(Br)cc1']; [0.857249737]
-O=C(Nc1cccc(C2CCNCC2)c1)c1ccc(Br)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'COC(=O)c1ccc(Br)cc1']; [0.999738157, 0.999738157]
-O=C(Nc1cnc(Cl)nc1)c1ccc(Br)cc1; ['Nc1cnc(Cl)nc1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999787271]
-C[C@H](O)COc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CN(C)c1ccc(N)cc1', 'CCOC(=O)c1ccc(Br)cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'CN(C)c1ccc(N)cc1']; [0.999933124, 0.999933124]
-O=C(Nc1cncnc1)c1ccc(Br)cc1; ['Nc1cncnc1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999833]
-COc1ccc(Cl)cc1NC(=O)c1ccc(Br)cc1; ['COc1ccc(Cl)cc1N']; ['O=Cc1ccc(Br)cc1']; [0.979601264]
-O=C(Nc1cn[nH]c1)c1ccc(Br)cc1; ['Nc1cn[nH]c1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999969]
-Cc1nc(C)c(NC(=O)c2ccc(Br)cc2)s1; [None]; [None]; [0]
-O=C(Nc1ccc(Br)cc1)c1ccc(Br)cc1; ['Nc1ccc(Br)cc1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999940276]
-O=C(Nc1ccc2c(c1)CCO2)c1ccc(Br)cc1; ['Nc1ccc2c(c1)CCO2', 'Brc1ccc(Br)cc1', 'Brc1ccc(Br)cc1', 'Nc1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2']; ['O=C(Cl)c1ccc(Br)cc1', 'Nc1ccc2c(c1)CCO2', 'O=C=Nc1ccc2c(c1)CCO2', 'O=Cc1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.999971032, 0.999971032, 0.999971032, 0.999971032, 0.999971032]
-O=C(Nc1ccc[nH]1)c1ccc(Br)cc1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccc(Br)cc2)ccc1O; ['COc1cc(N)ccc1O']; ['O=C(Cl)c1ccc(Br)cc1']; [0.997561336]
-CC(=O)Nc1cccc(NC(=O)c2ccc(Br)cc2)c1; ['CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc([N+](=O)[O-])c1']; ['O=C(Cl)c1ccc(Br)cc1', 'O=C(Cl)c1ccc(Br)cc1']; [0.999623537, 0.999623537]
-O=C(Nc1c[nH]c2ccccc12)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1cc2ccccc2cn1)c1ccc(Br)cc1; ['Nc1cc2ccccc2cn1', 'C#Cc1ccc(Br)cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'Nc1cc2ccccc2cn1']; [0.999966502, 0.999966502]
-O=C(Nc1ccc(F)c(F)c1)c1ccc(Br)cc1; ['COC(=O)c1ccc(Br)cc1', 'Brc1ccc(Br)cc1']; ['Nc1ccc(F)c(F)c1', 'O=C=Nc1ccc(F)c(F)c1']; [0.996673107, 0.996673107]
-O=C(Nc1scc2c1OCCO2)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1cnc2ccccc2c1)c1ccc(Br)cc1; ['Nc1cnc2ccccc2c1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999998331]
-O=C(Nc1cccc2c1OCO2)c1ccc(Br)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(N)cc1']; ['O=C(O)c1ccc(Br)cc1', 'COC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.999706447, 0.999706447, 0.999706447, 0.999706447]
-CSc1cccc(NC(=O)c2ccc(Br)cc2)c1; ['CSc1cccc(N)c1', 'COC(=O)c1ccc(Br)cc1', 'CSc1cccc(N)c1']; ['O=C(O)c1ccc(Br)cc1', 'CSc1cccc(N)c1', 'O=Cc1ccc(Br)cc1']; [0.999637604, 0.999637604, 0.999637604]
-O=C(Nc1ccco1)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(F)cc1Cl)c1ccc(Br)cc1; ['Nc1ccc(F)cc1Cl', 'COC(=O)c1ccc(Br)cc1', 'Nc1ccc(F)cc1Cl']; ['O=C(Cl)c1ccc(Br)cc1', 'Nc1ccc(F)cc1Cl', 'O=Cc1ccc(Br)cc1']; [0.99986279, 0.99986279, 0.99986279]
-O=C(N[C@@H]1CC[C@@H](O)CC1)c1ccc(Br)cc1; ['N[C@H]1CC[C@H](O)CC1', 'COC(=O)c1ccc(Br)cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'N[C@H]1CC[C@H](O)CC1']; [0.999988556, 0.999988556]
-Cc1cc(NC(=O)c2ccc(Br)cc2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['NC(=O)c1ccc(Br)cc1']; [0.998390555]
-CC[C@@H](CO)NC(=O)c1ccc(Br)cc1; ['CC[C@H](N)CO', 'CCOC(=O)c1ccc(Br)cc1', 'CC[C@H](N)CO', 'CC[C@H](N)CO']; ['O=C(Cl)c1ccc(Br)cc1', 'CC[C@H](N)CO', 'OCc1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.999985695, 0.999985695, 0.999985695, 0.999985695]
-COc1ccc(NC(=O)c2ccc(Br)cc2)cc1OC; ['CCOC(=O)c1ccc(Br)cc1']; ['COc1ccc(N)cc1OC']; [0.994520366]
-O=C(Nc1ncc(Br)cn1)c1ccc(Br)cc1; ['Clc1ncc(Br)cn1']; ['NC(=O)c1ccc(Br)cc1']; [0.967757583]
-O=C(Nc1ccsc1)c1ccc(Br)cc1; ['Nc1ccsc1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999624491]
-O=C(N[C@H]1CC[C@@H](O)C1)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(Cl)cc1Cl)c1ccc(Br)cc1; ['Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl']; ['O=C(O)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.984191775, 0.984191775]
-CCc1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(N)cc1']; ['O=C(O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.999410033, 0.999410033, 0.999410033]
-Cc1cc(C)cc(NC(=O)c2ccc(Br)cc2)c1; ['Cc1cc(C)cc(N)c1', 'Cc1cc(C)cc(Cl)c1']; ['O=C(O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.995335758, 0.995335758]
-Cn1cc(NC(=O)c2ccc(Br)cc2)c(C(F)(F)F)n1; [None]; [None]; [0]
-O=C(Nc1cccc2ccc(O)cc12)c1ccc(Br)cc1; ['Nc1cccc2ccc(O)cc12']; ['O=C(Cl)c1ccc(Br)cc1']; [0.996881485]
-COc1ccc2cccc(NC(=O)c3ccc(Br)cc3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(NC(=O)c2ccc(Br)cc2)cc1OC; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccc(Br)cc2)ccc1Cl; ['COc1cc(N)ccc1Cl']; ['O=C(Cl)c1ccc(Br)cc1']; [0.99993825]
-COc1cc(NC(=O)c2ccc(Br)cc2)cc(OC)c1; ['COc1cc(N)cc(OC)c1']; ['O=C(O)c1ccc(Br)cc1']; [0.998094738]
-Cc1ccc(NC(=O)c2ccc(Br)cc2)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CNC(=O)c1ccc(N)cc1']; ['O=C(O)c1ccc(Br)cc1']; [0.992969215]
-O=C(Nc1ccc2cn[nH]c2c1)c1ccc(Br)cc1; ['Nc1ccc2cn[nH]c2c1']; ['O=C(O)c1ccc(Br)cc1']; [0.9999336]
-O=C(Nc1ccc(OC(F)(F)F)cc1)c1ccc(Br)cc1; ['Nc1ccc(OC(F)(F)F)cc1', 'O=C(Cl)c1ccc(Br)cc1']; ['O=C(O)c1ccc(Br)cc1', 'O=[N+]([O-])c1ccc(OC(F)(F)F)cc1']; [0.999934077, 0.999934077]
-COc1cc(NC(=O)c2ccc(Br)cc2)c(OC)cc1Br; [None]; [None]; [0]
-Cc1ccc(NC(=O)c2ccc(Br)cc2)nc1C; ['Cc1ccc(N)nc1C']; ['O=C(O)c1ccc(Br)cc1']; [0.999285877]
-CCc1cccc(NC(=O)c2ccc(Br)cc2)n1; ['CCc1cccc(N)n1']; ['O=C(O)c1ccc(Br)cc1']; [0.999958634]
-O=C(Nc1ccc(CCO)cc1)c1ccc(Br)cc1; ['Nc1ccc(CCO)cc1']; ['O=C(O)c1ccc(Br)cc1']; [0.999811709]
-O=C(Nc1cc2ccccc2o1)c1ccc(Br)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
-N#Cc1ccc(NC(=O)c2ccc(F)cc2)cc1; ['N#Cc1ccc(I)cc1', 'Fc1ccc(I)cc1']; ['NC(=O)c1ccc(F)cc1', 'N#Cc1ccc(N=C=O)cc1']; [0.999786437, 0.999786437]
-CCOc1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CCOS(=O)(=O)OCC']; ['O=C(Nc1ccc(O)cc1)c1ccc(F)cc1']; [0.996081889]
-O=C(Nc1cscn1)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(N2CCCC2=O)c1)c1ccc(Br)cc1; ['Nc1cccc(N2CCCC2=O)c1', 'CCOC(=O)c1ccc(Br)cc1']; ['O=C(O)c1ccc(Br)cc1', 'Nc1cccc(N2CCCC2=O)c1']; [0.999610603, 0.999610603]
-COc1ncccc1NC(=O)c1ccc(F)cc1; ['COc1ncccc1N', 'COc1ncccc1Br']; ['O=C(O)c1ccc(F)cc1', 'NC(=O)c1ccc(F)cc1']; [0.999417543, 0.999417543]
-CS(=O)(=O)c1cccc(NC(=O)c2ccc(F)cc2)c1; ['CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(N)c1']; ['NC(=O)c1ccc(F)cc1', 'O=C(O)c1ccc(F)cc1']; [0.998779356, 0.998779356]
-COc1cc(NC(=O)c2ccc(F)cc2)cc(OC)c1OC; ['CCOC(=O)c1ccc(F)cc1']; ['COc1cc(N)cc(OC)c1OC']; [0.99520123]
-Cn1cc(NC(=O)c2ccc(F)cc2)cn1; ['Cn1cc(N)cn1']; ['O=C(Cl)c1ccc(F)cc1']; [0.999535799]
-CS(=O)(=O)c1ccc(Cl)c(NC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
-Cc1n[nH]cc1NC(=O)c1ccc(F)cc1; ['Cc1n[nH]cc1N']; ['O=C(Cl)c1ccc(F)cc1']; [0.999935627]
-O=C(Nc1cccc(O)c1)c1ccc(F)cc1; ['Nc1cccc(O)c1']; ['O=C(O)c1ccc(F)cc1']; [0.991355956]
-O=C(Nc1cnc2cccnn12)c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1nc2ccccc2[nH]1)c1ccc(F)cc1; ['Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; ['O=C(Cl)c1ccc(F)cc1', 'NC(=O)c1ccc(F)cc1']; [0.999628305, 0.999628305]
-Cn1nncc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['NC(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccc(F)cc1']; [0.999892235]
-O=C(Nc1ccc(C(=O)Nc2ccccc2)cc1)c1ccc(F)cc1; ['Fc1ccc(I)cc1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.936511636]
-Cc1nn(C)cc1NC(=O)c1ccc(F)cc1; ['Cc1nn(C)cc1N']; ['O=C(O)c1ccc(F)cc1']; [0.999885678]
-O=C(NCc1nccc2ccccc12)c1ccc(F)cc1; ['COC(=O)c1ccc(F)cc1']; ['NCc1nccc2ccccc12']; [0.985384285]
-O=C(Nc1ccc(Cl)cc1)c1ccc(F)cc1; ['Nc1ccc(Cl)cc1']; ['O=C(O)c1ccc(F)cc1']; [0.999607265]
-COc1ccc(NC(=O)c2ccc(F)cc2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(Br)cc1', 'COC(=O)c1ccc(F)cc1']; ['O=C(O)c1ccc(F)cc1', 'NC(=O)c1ccc(F)cc1', 'COc1ccc(N)cc1']; [0.998857856, 0.998857856, 0.998857856]
-O=C(NCCCO)c1ccc(F)cc1; ['COC(=O)c1ccc(F)cc1']; ['NCCCO']; [0.98374939]
-O=C(NNc1ncccn1)c1ccc(F)cc1; ['NNc1ncccn1']; ['O=C(O)c1ccc(F)cc1']; [0.99932754]
-O=C(Nc1cccc(F)c1)c1ccc(F)cc1; ['Nc1cccc(F)c1', 'Fc1cccc(I)c1', 'Fc1ccc(Br)cc1']; ['O=C(O)c1ccc(F)cc1', 'NC(=O)c1ccc(F)cc1', 'O=C=Nc1cccc(F)c1']; [0.994525552, 0.994525552, 0.994525552]
-Cc1cc(NC(=O)c2ccc(F)cc2)nn1C; ['COC(=O)c1ccc(F)cc1']; ['Cc1cc(N)nn1C']; [0.997727454]
-O=C(Nc1ccc(OCCO)cc1)c1ccc(F)cc1; ['O=C(Nc1ccc(O)cc1)c1ccc(F)cc1', 'O=C(Nc1ccc(O)cc1)c1ccc(F)cc1', 'O=C(Cl)c1ccc(F)cc1']; ['OCCBr', 'OCCCl', 'O=[N+]([O-])c1ccc(OCCO)cc1']; [0.999823272, 0.999823272, 0.999823272]
-O=C(Nc1ccc(C(F)(F)F)cc1)c1ccc(F)cc1; ['FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(I)cc1', 'Nc1ccc(C(F)(F)F)cc1']; ['NCc1ccc(F)cc1', 'NC(=O)c1ccc(F)cc1', 'O=Cc1ccc(F)cc1']; [0.998973727, 0.998973727, 0.998973727]
-O=C(Nc1cccc(C2CCNCC2)c1)c1ccc(F)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1']; ['O=C(O)c1ccc(F)cc1', 'O=C(Cl)c1ccc(F)cc1', 'COC(=O)c1ccc(F)cc1']; [0.999166846, 0.999166846, 0.999166846]
-O=C(Nc1cnc(Cl)nc1)c1ccc(F)cc1; ['Nc1cnc(Cl)nc1', 'Nc1cnc(Cl)nc1', 'COC(=O)c1ccc(F)cc1']; ['O=C(O)c1ccc(F)cc1', 'O=C(Cl)c1ccc(F)cc1', 'Nc1cnc(Cl)nc1']; [0.999507427, 0.999507427, 0.999507427]
-C[C@H](O)COc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CCOC(=O)c1ccc(F)cc1']; ['CN(C)c1ccc(N)cc1']; [0.997744799]
-O=C(Nc1cncnc1)c1ccc(F)cc1; ['Nc1cncnc1', 'Nc1cncnc1']; ['O=C(Cl)c1ccc(F)cc1', 'O=C(O)c1ccc(F)cc1']; [0.999647737, 0.999647737]
-Cc1nc(C)c(NC(=O)c2ccc(F)cc2)s1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1ccc(F)cc1; ['Nc1cn[nH]c1']; ['O=C(Cl)c1ccc(F)cc1']; [0.999874711]
-COc1ccc(Cl)cc1NC(=O)c1ccc(F)cc1; ['COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'CCOC(=O)c1ccc(F)cc1', 'COc1ccc(Cl)cc1N', 'COC(=O)c1ccc(F)cc1']; ['O=C(Cl)c1ccc(F)cc1', 'O=C(O)c1ccc(F)cc1', 'COc1ccc(Cl)cc1N', 'O=Cc1ccc(F)cc1', 'COc1ccc(Cl)cc1N']; [0.999904871, 0.999904871, 0.999904871, 0.999904871, 0.999904871]
-O=C(Nc1ccc(Br)cc1)c1ccc(F)cc1; ['COC(=O)c1ccc(F)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1']; ['Nc1ccc(Br)cc1', 'O=C(O)C(=O)c1ccc(F)cc1', 'O=Cc1ccc(F)cc1']; [0.995033, 0.995033, 0.995033]
-O=C(Nc1ccc2c(c1)CCO2)c1ccc(F)cc1; ['Nc1ccc2c(c1)CCO2', 'O=C(Cl)c1ccc(F)cc1']; ['O=C(Cl)c1ccc(F)cc1', 'O=[N+]([O-])c1ccc2c(c1)CCO2']; [0.999893665, 0.999893665]
-O=C(Nc1ccc[nH]1)c1ccc(F)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(NC(=O)c2ccc(F)cc2)c1; ['CC(=O)Nc1cccc(N)c1']; ['O=C(O)c1ccc(F)cc1']; [0.997005284]
-COc1cc(NC(=O)c2ccc(F)cc2)ccc1O; ['COc1cc(N)ccc1O']; ['O=C(O)c1ccc(F)cc1']; [0.999429047]
-O=C(Nc1c[nH]c2ccccc12)c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(F)c(F)c1)c1ccc(F)cc1; ['Fc1ccc(I)cc1F', 'Fc1ccc(Br)cc1']; ['NC(=O)c1ccc(F)cc1', 'O=C=Nc1ccc(F)c(F)c1']; [0.997901082, 0.997901082]
-O=C(Nc1cc2ccccc2cn1)c1ccc(F)cc1; ['Clc1cc2ccccc2cn1']; ['NC(=O)c1ccc(F)cc1']; [0.999925852]
-O=C(Nc1scc2c1OCCO2)c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1cnc2ccccc2c1)c1ccc(F)cc1; ['Brc1cnc2ccccc2c1']; ['NC(=O)c1ccc(F)cc1']; [0.972097337]
-O=C(Nc1cccc2c1OCO2)c1ccc(F)cc1; [None]; [None]; [0]
-CSc1cccc(NC(=O)c2ccc(F)cc2)c1; ['CSc1cccc(N)c1', 'CSc1cccc(Br)c1']; ['O=C(O)c1ccc(F)cc1', 'NC(=O)c1ccc(F)cc1']; [0.999880791, 0.999880791]
-CC(C)(C)c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(N)cc1']; ['O=C(Cl)c1ccc(F)cc1', 'NCc1ccc(F)cc1', 'O=Cc1ccc(F)cc1']; [0.999963284, 0.999963284, 0.999963284]
-O=C(Nc1ccco1)c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(F)cc1Cl)c1ccc(F)cc1; ['Nc1ccc(F)cc1Cl', 'COC(=O)c1ccc(F)cc1']; ['O=C(Cl)c1ccc(F)cc1', 'Nc1ccc(F)cc1Cl']; [0.999518275, 0.999518275]
-Cc1cc(NC(=O)c2ccc(F)cc2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['NC(=O)c1ccc(F)cc1']; [0.996974707]
-O=C(N[C@@H]1CC[C@@H](O)CC1)c1ccc(F)cc1; ['N[C@H]1CC[C@H](O)CC1', 'Fc1ccc(CCl)cc1']; ['O=C(Cl)c1ccc(F)cc1', 'N[C@H]1CC[C@H](O)CC1']; [0.999990821, 0.999990821]
-COc1ccc(NC(=O)c2ccc(F)cc2)cc1OC; ['CCOC(=O)c1ccc(F)cc1', 'COc1ccc(N)cc1OC']; ['COc1ccc(N)cc1OC', 'O=C(O)C(=O)c1ccc(F)cc1']; [0.988724, 0.988724]
-CC[C@@H](CO)NC(=O)c1ccc(F)cc1; ['CC[C@H](N)CO']; ['O=C(O)c1ccc(F)cc1']; [0.999967337]
-O=C(Nc1ncc(Br)cn1)c1ccc(F)cc1; ['Clc1ncc(Br)cn1']; ['NC(=O)c1ccc(F)cc1']; [0.974383771]
-O=C(Nc1ccc(Cl)cc1Cl)c1ccc(F)cc1; ['Nc1ccc(Cl)cc1Cl']; ['O=C(Cl)c1ccc(F)cc1']; [0.999877572]
-O=C(Nc1ccsc1)c1ccc(F)cc1; ['Nc1ccsc1', 'Nc1ccsc1']; ['O=C(Cl)c1ccc(F)cc1', 'O=C(O)c1ccc(F)cc1']; [0.999300122, 0.999300122]
-Cc1cc(C)cc(NC(=O)c2ccc(F)cc2)c1; ['Cc1cc(C)cc(N)c1']; ['O=C(O)c1ccc(F)cc1']; [0.998084068]
-O=C(N[C@H]1CC[C@@H](O)C1)c1ccc(F)cc1; [None]; [None]; [0]
-CCc1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CCc1ccc(I)cc1', 'CCOC(=O)c1ccc(F)cc1']; ['NC(=O)c1ccc(F)cc1', 'CCc1ccc(N)cc1']; [0.995939493, 0.995939493]
-COc1ccc2cccc(NC(=O)c3ccc(F)cc3)c2c1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccc(F)cc2)ccc1Cl; ['COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc([N+](=O)[O-])ccc1Cl']; ['O=C(Cl)c1ccc(F)cc1', 'O=Cc1ccc(F)cc1', 'O=C(Cl)c1ccc(F)cc1']; [0.999785721, 0.999785721, 0.999785721]
-Cn1cc(NC(=O)c2ccc(F)cc2)c(C(F)(F)F)n1; [None]; [None]; [0]
-O=C(Nc1cccc2ccc(O)cc12)c1ccc(F)cc1; ['Nc1cccc2ccc(O)cc12', 'COC(=O)c1ccc(F)cc1']; ['O=C(Cl)c1ccc(F)cc1', 'Nc1cccc2ccc(O)cc12']; [0.999312043, 0.999312043]
-COc1cc(F)c(NC(=O)c2ccc(F)cc2)cc1OC; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccc(F)cc2)cc(OC)c1; ['COc1cc(N)cc(OC)c1']; ['O=C(O)c1ccc(F)cc1']; [0.995966315]
-COc1cc(NC(=O)c2ccc(F)cc2)c(OC)cc1Br; []; []; []
-CNC(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CCOC(=O)c1ccc(F)cc1']; ['O=C(O)c1ccc(F)cc1', 'O=C(Cl)c1ccc(F)cc1', 'CNC(=O)c1ccc(N)cc1']; [0.995593131, 0.995593131, 0.995593131]
-O=C(Nc1cc2ccccc2o1)c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1cscn1)c1ccc(F)cc1; ['Clc1cscn1']; ['NC(=O)c1ccc(F)cc1']; [0.998406947]
-Cc1ccc(NC(=O)c2ccc(F)cc2)o1; [None]; [None]; [0]
-CCc1cccc(NC(=O)c2ccc(F)cc2)n1; ['CCc1cccc(N)n1', 'CCc1cccc(N)n1']; ['O=C(Cl)c1ccc(F)cc1', 'O=Cc1ccc(F)cc1']; [0.999957442, 0.999957442]
-O=C(Nc1ccc2cn[nH]c2c1)c1ccc(F)cc1; ['Nc1ccc2cn[nH]c2c1', 'COC(=O)c1ccc(F)cc1', 'CCOC(=O)c1ccc(F)cc1']; ['O=C(O)c1ccc(F)cc1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1']; [0.999919057, 0.999919057, 0.999919057]
-O=C(Nc1ccc(CCO)cc1)c1ccc(F)cc1; ['Nc1ccc(CCO)cc1']; ['O=C(O)c1ccc(F)cc1']; [0.999936581]
-O=C(Nc1cccc(N2CCCC2=O)c1)c1ccc(F)cc1; ['Fc1ccc(Br)cc1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.999971747]
-O=C(Nc1ccc(OC(F)(F)F)cc1)c1ccc(F)cc1; ['O=C(Cl)c1ccc(F)cc1', 'Fc1ccc(I)cc1', 'COC(=O)c1ccc(F)cc1']; ['O=[N+]([O-])c1ccc(OC(F)(F)F)cc1', 'O=C=Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1']; [0.999617934, 0.999617934, 0.999617934]
-N#Cc1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C']; [0.99960655]
-Cc1ccc(NC(=O)c2ccc(F)cc2)nc1C; ['Cc1ccc(N)nc1C']; ['O=C(O)c1ccc(F)cc1']; [0.998969555]
-CS(=O)(=O)c1ccc(Cl)c(NC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
-COc1ncccc1-c1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['COc1ncccc1B(O)O']; [0.997089863]
-COc1cc(N2CCNCC2)ccc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CCOc1ccc(B(O)O)cc1']; [0.998121798]
-COc1cc(-c2cnn(-c3ccccc3)c2)cc(OC)c1OC; ['Brc1cnn(-c2ccccc2)c1', 'COc1cc(Br)cc(OC)c1OC']; ['COc1cc(B(O)O)cc(OC)c1OC', 'c1ccc(-n2cccn2)cc1']; [0.996560276, 0.996560276]
-CS(=O)(=O)c1cccc(-c2cnn(-c3ccccc3)c2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['CS(=O)(=O)c1cccc(B(O)O)c1']; [0.999904513]
-Cc1n[nH]cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cnc4cccnn34)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['c1cnn2ccnc2c1']; [0.999932051]
-Cn1cc(-c2cnn(-c3ccccc3)c2)cn1; ['Brc1cnn(-c2ccccc2)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.995154858]
-Oc1cccc(-c2cnn(-c3ccccc3)c2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1cccc(O)c1']; [0.997105658]
-c1ccc(-n2cc(-c3nc4ccccc4[nH]3)cn2)cc1; ['Nc1ccccc1N']; ['O=Cc1cnn(-c2ccccc2)c1']; [0.999733627]
-Cn1nncc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1', 'Cc1nn(C)cc1Br']; ['Cc1ccn(C)n1', 'c1ccc(-n2cccn2)cc1']; [0.994214714, 0.994214714]
-Cc1cc(Nc2cnn(-c3ccccc3)c2)sn1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999797881]
-COc1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['COc1ccc(B(O)O)cc1']; [0.995825887]
-c1ccc(-n2cc(Nc3ncccn3)cn2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Fc1cccc(-c2cnn(-c3ccccc3)c2)c1; ['Fc1cccc(Br)c1']; ['c1ccc(-n2cccn2)cc1']; [0.959460139]
-O=C(Nc1cnn(-c2ccccc2)c1)C1CC1; [None]; [None]; [0]
-OCCOc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(Cc3nccc4ccccc34)cn2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cccc(C4CCNCC4)c3)cn2)cc1; [None]; [None]; [0]
-Clc1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1ccc(Cl)cc1']; [0.997531652]
-Cc1cc(-c2cnn(-c3ccccc3)c2)nn1C; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['NNc1ccccc1', 'Brc1cnn(-c2ccccc2)c1']; ['O=CC(C=O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1']; [0.999998093, 0.999998093]
-c1ccc(-n2cc(Nc3ccncn3)cn2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CN(C)c1ccc(B(O)O)cc1']; [0.99922967]
-CNS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnn(-c3ccccc3)c2)s1; [None]; [None]; [0]
-c1ccc(-n2cc(Cc3ccncc3)cn2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Clc1ncc(-c2cnn(-c3ccccc3)c2)cn1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1cnc(Cl)nc1']; [0.981058598]
-c1ccc(-n2cc(Cc3cccnc3)cn2)cc1; [None]; [None]; [0]
-OC[C@@H](O)Cc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Brc1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1ccc(-c2cn[nH]c2)cc1']; ['Ic1ccccc1']; [0.999641299]
-c1ccc(-n2cc(-n3ccnc3)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['c1c[nH]cn1']; [0.996095359]
-COc1ccc(Cl)cc1-c1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['COc1ccc(Cl)cc1B(O)O']; [0.999546468]
-c1ccc(-n2cc(-c3cncnc3)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1cncnc1']; [0.997079611]
-c1ccc(-n2cc(-c3cn[nH]c3)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1cn[nH]c1']; [0.998728335]
-c1ccc(-n2cc(-c3ccc[nH]3)cn2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3ccc4c(c3)CCO4)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C']; [0.99999249]
-COc1ccc(Cc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnn(-c3ccccc3)c2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['CC(=O)Nc1cccc(B(O)O)c1']; [0.998895109]
-c1ccc(-n2cc(-c3cc4ccccc4cn3)cn2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3c[nH]c4ccccc34)cn2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cccc4c3OCO4)cn2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3scc4c3OCCO4)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['c1scc2c1OCCO2']; [0.999880195]
-CC(C)(C)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CC(C)(C)c1ccc(B(O)O)cc1']; [0.99947077]
-c1ccc(-n2cc(Cn3ccnc3)cn2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cnc4ccccc4c3)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1', 'Brc1cnn(-c2ccccc2)c1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'OB(O)c1cnc2ccccc2c1']; [0.999437511, 0.999437511]
-COc1cc(-c2cnn(-c3ccccc3)c2)ccc1O; [None]; [None]; [0]
-CC1(COc2cnn(-c3ccccc3)c2)COC1; [None]; [None]; [0]
-Fc1ccc(-c2cnn(-c3ccccc3)c2)cc1F; ['Fc1ccc(Br)cc1F']; ['c1ccc(-n2cccn2)cc1']; [0.982389927]
-c1ccc(-n2cc(-c3ccco3)cn2)cc1; [None]; [None]; [0]
-CSc1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-COCCOc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-Fc1ccc(-c2cnn(-c3ccccc3)c2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1']; ['c1ccc(-n2cccn2)cc1']; [0.896479964]
-Cc1cc(-c2cnn(-c3ccccc3)c2)nc(N)n1; [None]; [None]; [0]
-COc1ccc(-c2cnn(-c3ccccc3)c2)cc1OC; ['Brc1cnn(-c2ccccc2)c1']; ['COc1ccc(B(O)O)cc1OC']; [0.996323109]
-O[C@@H]1CC[C@H](c2cnn(-c3ccccc3)c2)C1; [None]; [None]; [0]
-CCc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Clc1ccc(-c2cnn(-c3ccccc3)c2)c(Cl)c1; ['Clc1ccc(I)c(Cl)c1']; ['c1ccc(-n2cccn2)cc1']; [0.769868433]
-c1ccc(-n2cc(-c3ccsc3)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1ccsc1']; [0.998743594]
-Cc1cc(C)cc(-c2cnn(-c3ccccc3)c2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['Cc1cc(C)cc(B(O)O)c1']; [0.999214411]
-Brc1cnc(-c2cnn(-c3ccccc3)c2)nc1; [None]; [None]; [0]
-COc1ccc(CNc2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['COc1ccc(CN)cc1']; [0.999864459]
-COc1ccc2cccc(-c3cnn(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
-COc1cc(-c2cnn(-c3ccccc3)c2)ccc1Cl; ['Brc1cnn(-c2ccccc2)c1']; ['COc1cc(B(O)O)ccc1Cl']; [0.999501]
-COc1cc(F)c(-c2cnn(-c3ccccc3)c2)cc1OC; [None]; [None]; [0]
-Cn1cc(-c2cnn(-c3ccccc3)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1cc(Nc2cnn(-c3ccccc3)c2)nn1C; ['Brc1cnn(-c2ccccc2)c1']; ['Cc1cc(N)nn1C']; [0.999980927]
-Cc1ccc(-c2cnn(-c3ccccc3)c2)o1; [None]; [None]; [0]
-Oc1ccc2cccc(-c3cnn(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnn(-c3ccccc3)c2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['COc1cc(OC)cc(B(O)O)c1']; [0.996142685]
-c1ccc(-n2cc(-c3ccc4cn[nH]c4c3)cn2)cc1; [None]; [None]; [0]
-Cc1nc(Nc2cnn(-c3ccccc3)c2)sc1C; [None]; [None]; [0]
-CCn1cc(-c2cnn(-c3ccccc3)c2)cn1; ['Brc1cnn(-c2ccccc2)c1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999196351]
-COc1cc(-c2cnn(-c3ccccc3)c2)c(OC)cc1Br; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cc4ccccc4o3)cn2)cc1; [None]; [None]; [0]
-CC(C)Oc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-COC(=O)Nc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999983549]
-CCc1cccc(-c2cnn(-c3ccccc3)c2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnn(-c3ccccc3)c2)nc1C; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cscn3)cn2)cc1; [None]; [None]; [0]
-OCCc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(Nc3ccccn3)cn2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cccc4ncccc34)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1cccc2ncccc12']; [0.999]
-c1ccc(-n2cc(-c3ccncc3)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1ccncc1']; [0.998055696]
-Fc1ccc(Nc2cnn(-c3ccccc3)c2)nc1; ['Brc1cnn(-c2ccccc2)c1']; ['Nc1ccc(F)cn1']; [0.992821872]
-Fc1cccc(F)c1-c1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1c(F)cccc1F']; [0.996801734]
-Oc1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1ccc(O)cc1']; [0.997808874]
-c1ccc(-n2cc(-c3n[nH]c4ccccc34)cn2)cc1; [None]; [None]; [0]
-Oc1cc(-c2cnn(-c3ccccc3)c2)ccc1Cl; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.997293651]
-Fc1ccc(Oc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Oc1ccc(-c2cnn(-c3ccccc3)c2)c(Cl)c1; [None]; [None]; [0]
-Cc1ncc(-c2cnn(-c3ccccc3)c2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2cnn(-c3ccccc3)c2)n1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cnn(-c3ccccc3)c2)C1; [None]; [None]; [0]
-Clc1ccccc1-c1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['CC1(C)OB(c2ccccc2Cl)OC1(C)C']; [0.998234272]
-c1ccc(-n2cc(-c3cnccn3)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['c1cnccn1']; [0.967321575]
-c1ccc(-n2cc(-c3cc[nH]c3)cn2)cc1; [None]; [None]; [0]
-N#Cc1cnc(-c2cnn(-c3ccccc3)c2)cn1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3ccoc3)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1', 'Brc1ccoc1']; ['OB(O)c1ccoc1', 'c1ccc(-n2cccn2)cc1']; [0.999743879, 0.999743879]
-COc1cc(CCc2cnn(-c3ccccc3)c2)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)o1; [None]; [None]; [0]
-Brc1cccc(-c2cnn(-c3ccccc3)c2)c1; ['Brc1cccc(-c2cn[nH]c2)c1']; ['Fc1ccccc1']; [0.999907732]
-Clc1cccc(OCc2cnn(-c3ccccc3)c2)c1; ['OCc1cnn(-c2ccccc2)c1']; ['Oc1cccc(Cl)c1']; [0.998166]
-c1ccc(-n2cc(-c3cccs3)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['c1ccsc1']; [0.991462648]
-N#Cc1ccc(-c2cnn(-c3ccccc3)c2)cn1; ['Brc1cnn(-c2ccccc2)c1']; ['CC1(C)OB(c2ccc(C#N)nc2)OC1(C)C']; [0.999389648]
-Oc1ccc(-c2cnn(-c3ccccc3)c2)c(O)c1; [None]; [None]; [0]
-OCCCc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3ccncn3)cn2)cc1; [None]; [None]; [0]
-Clc1ccccc1OCc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Fc1ccc(-c2cnn(-c3ccccc3)c2)cc1Cl; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1ccc(F)c(Cl)c1']; [0.999582469]
-Cc1ccc(O)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cnn(-c3ccccc3)c2)cc1C; ['Cc1ccc(Br)cc1C']; ['c1ccc(-n2cccn2)cc1']; [0.814475656]
-Oc1ccc(Cl)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-Oc1ncc(-c2cnn(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-O=c1ccccn1Cc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnn(-c4ccccc4)c3)cc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.998310924]
-Oc1cncc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cnn(-c4ccccc4)c3)ccc2N1; ['Brc1cnn(-c2ccccc2)c1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; [0.997302294]
-c1ccc(-n2cc(-c3nc4ccccc4s3)cn2)cc1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['Cc1cc(O)ccc1B(O)O']; [0.981460094]
-Cc1cccc(C)c1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-CCc1sccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2cnn(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
-c1ccc(-n2cc(-c3nccs3)cn2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3ccc4c(c3)CCN4)cn2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cnn(-c3ccccc3)c2)[nH]n1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3cnn(-c4ccccc4)c3)cc2[nH]1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1ccc(Br)cc1F']; [0.999591649]
-Cn1ncc(N)c1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(Nc3ccncc3)cn2)cc1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-Cc1csc(-c2cnn(-c3ccccc3)c2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cnn(-c3ccccc3)c2)c(C)n1; [None]; [None]; [0]
-Oc1c(F)cc(-c2cnn(-c3ccccc3)c2)cc1F; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cnco3)cn2)cc1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnn(-c4ccccc4)c3)cc2o1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3cnn(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
-c1ccc(COc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2cnn(-c3ccccc3)c2)c(F)c1; [None]; [None]; [0]
-Fc1ccccc1Oc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Fc1ccc(Cc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-C(=Cc1ccccn1)c1cnc2ccccc2c1; ['Brc1cnc2ccccc2c1']; ['C=Cc1ccccn1']; [0.986564517]
-Fc1cccc(Cl)c1CNc1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['NCc1c(F)cccc1Cl']; [0.99907434]
-COc1ccc(C=Cc2cnc3ccccc3c2)cc1OC; ['Brc1cnc2ccccc2c1']; ['C=Cc1ccc(OC)c(OC)c1']; [0.997175336]
-C(=Cc1cccs1)c1cnc2ccccc2c1; ['CCOP(=O)(Cc1cccs1)OCC']; ['O=Cc1cnc2ccccc2c1']; [0.999941826]
-C(=Cc1ccc[nH]1)c1cnc2ccccc2c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc(OC)cc1; ['CNC(=O)c1ccccc1', 'CNC(=O)c1ccccc1']; ['COc1ccc(I)cc1', 'COc1ccc(Cl)cc1']; [0.956449151, 0.956449151]
-O=C1Nc2ccccc2C1=Cc1cnc2ccccc2c1; ['O=C1Cc2ccccc2N1']; ['O=Cc1cnc2ccccc2c1']; [0.999998808]
-CNC(=O)C=Cc1cnc2ccccc2c1; ['CNC(C)=O']; ['O=Cc1cnc2ccccc2c1']; [0.999138713]
-CCOc1ccccc1-c1ccc(OC)cc1; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Cl', 'CCOc1ccccc1Br']; ['COc1ccc(I)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccccc1']; [0.999861479, 0.999861479, 0.999861479, 0.999861479]
-COc1ccc(Cc2cc(F)cc(F)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccnc3ccccc23)cc1; ['COc1ccc(B(O)O)cc1']; ['Clc1ccnc2ccccc12']; [0.999874949]
-COc1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cccnc2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccccc2Cl)cc1; ['COc1ccccc1']; ['Nc1ccccc1Cl']; [0.816645563]
-COc1ccc([C@@H]2C[C@H](O)C2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccccc2Br)cc1; ['Brc1ccccc1I', 'COc1ccc(I)cc1', 'Brc1ccccc1Br', 'COc1ccc(Br)cc1', 'COc1ccccc1']; ['COc1ccc(B(O)O)cc1', 'OB(O)c1ccccc1Br', 'COc1ccc(B(O)O)cc1', 'OB(O)c1ccccc1Br', 'Nc1ccccc1Br']; [0.999782264, 0.999782264, 0.999782264, 0.999782264, 0.999782264]
-COc1ccc(-c2cc[nH]n2)cc1; []; []; []
-COc1ccc(-c2ccccc2C(N)=O)cc1; ['COc1ccc(-c2ccccc2C(=O)O)cc1']; ['O=C(Cl)C(=O)Cl']; [0.904910803]
-COc1ccc(-c2ccccc2OC(F)(F)F)cc1; ['COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(Br)cc1', 'COc1ccccc1']; ['OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccccc1Br']; [0.999945641, 0.999945641, 0.999945641, 0.999945641, 0.999945641]
-COc1ccc(-c2ccccc2F)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1']; ['OB(O)c1ccccc1F', 'Fc1ccccc1Br']; [0.999158382, 0.999158382]
-COc1ccc(-c2ccccc2C#N)cc1; ['COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(Br)cc1']; ['N#Cc1ccccc1I', 'N#Cc1ccccc1Br', 'N#Cc1ccccc1Br', 'N#Cc1ccccc1B(O)O', 'N#Cc1ccccc1Br', 'N#Cc1ccccc1Cl']; [0.999819577, 0.999819577, 0.999819577, 0.999819577, 0.999819577, 0.999819577]
-COc1ccc(-c2c(F)cccc2F)cc1; ['COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccccc1', 'COc1ccccc1', 'COc1ccc(I)cc1']; ['Fc1cccc(F)c1', 'Fc1cccc(F)c1', 'Fc1cccc(F)c1Br', 'Fc1cccc(F)c1I', 'O=C([O-])c1c(F)cccc1F']; [0.997806251, 0.997806251, 0.997806251, 0.997806251, 0.997806251]
-COc1ccc(-c2cnn(Cc3ccccc3)c2)cc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'COc1ccc(B(O)O)cc1']; ['COc1ccc(Cl)cc1', 'Ic1cnn(Cc2ccccc2)c1']; [0.999985099, 0.999985099]
-COc1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1; ['COc1ccc(I)cc1']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.81367892]
-COc1ccc(-c2cnn(CCO)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['OCCn1cc(Br)cn1']; [0.999972463]
-COc1ccc(-c2ccc(C)cc2Br)cc1; ['COc1ccc(I)cc1', 'COc1ccccc1']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1']; [0.998708129, 0.998708129]
-COc1ccc(-c2cccc(NC(=O)c3ccccc3)c2)cc1; ['COc1ccc(-c2cccc(N)c2)cc1', 'COc1ccc(-c2cccc(N)c2)cc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1']; [0.99995172, 0.99995172]
-COc1ccc([C@@H](N)c2ccco2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnco2)cc1; []; []; []
-COc1ccc(-c2sc(C)nc2C)cc1; ['COc1ccc(B(O)O)cc1']; ['Cc1nc(C)c(Br)s1']; [0.999938369]
-COc1ccc(-c2sc(N)nc2C)cc1; ['COc1ccc(CC(C)=O)cc1']; ['NC(N)=S']; [0.999974608]
-COc1ccc(-c2ccc3c(c2)CCC3)cc1; ['COc1ccc([Mg]Br)cc1']; ['COc1ccc2c(c1)CCC2']; [0.99026531]
-COc1ccc(-c2c(Cl)cccc2Cl)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccccc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc([Si](C)(C)[O-])cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Cl)cc1', 'COc1ccccc1', 'COc1ccccc1', 'COc1ccc(Cl)cc1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl', 'Nc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1']; [0.999947309, 0.999947309, 0.999947309, 0.999947309, 0.999947309, 0.999947309, 0.999947309, 0.999947309, 0.999947309, 0.999947309, 0.999947309, 0.999947309]
-COc1ccc(NC(C)(C)C)cc1; ['CC(C)(C)N', 'CC(C)(C)N']; ['COc1ccc(B(O)O)cc1', 'COc1ccc(Cl)cc1']; [0.93905592, 0.93905592]
-COc1ccc(-c2cnc3ccccn23)cc1; ['COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Cl)cc1']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999990225, 0.999990225, 0.999990225]
-COc1ccc(-c2cc(C)ccc2Cl)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc([Mg]Br)cc1']; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Cl)c1']; [0.999524236, 0.999524236, 0.999524236, 0.999524236]
-COc1ccc(-c2cccc(Cl)c2Cl)cc1; ['COc1ccccc1']; ['Clc1cccc(Cl)c1Cl']; [0.766658425]
-COc1ccc(-c2cnc3cccnn23)cc1; ['COc1ccc(Br)cc1']; ['c1cnn2ccnc2c1']; [0.999950767]
-COc1ccc(OC2CCCCC2)cc1; ['COc1ccc(O)cc1']; ['OC1CCCCC1']; [0.932777107]
-COc1ccc(-c2ccnc(N)n2)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1']; ['Nc1nccc(Cl)n1', 'Nc1ncccn1']; [0.999677658, 0.999677658]
-COc1ccc(-c2cnc(C)[nH]2)cc1; ['COc1ccc(B(O)O)cc1']; ['Cc1ncc(Br)[nH]1']; [0.974128902]
-COc1ccc(-c2ccc(Cl)s2)cc1; ['COc1ccc(I)cc1', 'COc1ccc(N)cc1']; ['Clc1cccs1', 'Clc1cccs1']; [0.999731123, 0.999731123]
-COc1ccc(-c2ccc3ccccc3c2)cc1; ['COc1ccc(I)cc1']; ['Ic1ccc2ccccc2c1']; [0.983274758]
-COc1ccc(NCc2cccnc2)cc1; ['COc1ccc(N)cc1']; ['O=Cc1cccnc1']; [0.936468244]
-COc1ccc(N[C@H](C)CO)cc1; ['COc1ccc(I)cc1', 'CC(=O)CO']; ['C[C@@H](N)CO', 'COc1ccc(N)cc1']; [0.981307924, 0.981307924]
-COc1ccc(-c2cccc(OC)c2)cc1; ['COc1ccc(I)cc1']; ['COc1cccc(I)c1']; [0.984573424]
-COc1ccc(NC(=O)c2cccs2)cc1; ['COc1ccc(I)cc1']; ['NC(=O)c1cccs1']; [0.986858606]
-COc1ccc(-n2cnc3ccccc32)cc1; ['COc1ccc(B(O)O)cc1']; ['c1ccc2[nH]cnc2c1']; [0.99896]
-COc1ccc(Nc2cccnc2)cc1; ['COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(N)cc1']; ['Nc1cccnc1', 'Clc1cccnc1']; [0.995930493, 0.995930493]
-COc1ccc(-c2cccc(O)c2)cc1; ['COc1cccc(C(=O)O)c1']; ['Oc1cccc(I)c1']; [0.951016426]
-COc1ccc(OCC(C)C)cc1; ['CC(C)CO']; ['COc1ccc(Br)cc1']; [0.989745736]
-COc1ccc(O[C@H](C)[C@@H](C)O)cc1; [None]; [None]; [0]
-COc1ccc(-c2cncc3ccccc23)cc1; ['Brc1cncc2ccccc12', 'Brc1cncc2ccccc12']; ['COc1ccc(I)cc1', 'COc1ccccc1']; [0.999959707, 0.999959707]
-COc1ccc(Nc2ccncc2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(N)cc1']; ['c1cc[n+](-c2ccncc2)cc1', 'Ic1ccncc1']; [0.906538308, 0.906538308]
-COc1ccc(-c2cncn2C)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Cl)cc1']; ['Cn1ccnc1', 'Cn1ccnc1', 'Cn1ccnc1', 'Cn1ccnc1']; [0.995308578, 0.995308578, 0.995308578, 0.995308578]
-COc1ccc(-c2ccco2)cc1; ['COc1ccc(N)cc1']; ['c1ccoc1']; [0.958518863]
-COc1ccc(-c2cnn(C)c2)cc1; ['COc1ccc(Cl)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999876142]
-COc1ccc(-c2cccc(CO)c2)cc1; []; []; []
-CCC(=O)Nc1ccc(-c2ccc(OC)cc2)cc1; ['CCC(=O)O']; ['COc1ccc(-c2ccc(N)cc2)cc1']; [0.998194277]
-COc1ccc(-c2cccc(CCC#N)c2)cc1; ['COc1ccc(B(O)O)cc1']; ['N#CCCc1cccc(Br)c1']; [0.999958634]
-COc1ccc(-c2cccc(NC(C)=O)c2)cc1; ['CC(=O)Cl']; ['COc1ccc(-c2cccc(N)c2)cc1']; [0.999466836]
-COc1ccc(-c2cccs2)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'Brc1cccs1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1']; ['c1ccsc1', 'c1ccsc1', 'COc1ccc([Mg]Br)cc1', 'OB(O)c1cccs1', 'OB(O)c1cccs1']; [0.999973416, 0.999973416, 0.999973416, 0.999973416, 0.999973416]
-CCC(=O)Nc1ccc(OC)cc1; ['CCC(=O)OC(=O)CC']; ['COc1ccc(N)cc1']; [0.95880872]
-COc1ccc(-c2cc(C)on2)cc1; ['C#CC']; ['COc1ccc(C(Cl)=NO)cc1']; [0.99983]
-COc1ccc(NC(C)C)cc1; ['CC(C)Br', 'CC(C)=O', 'CC(C)N']; ['COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(I)cc1']; [0.950824499, 0.950824499, 0.950824499]
-COc1ccc(-c2ccc(F)cc2C(F)(F)F)cc1; ['COc1ccccc1']; ['Fc1ccc(Br)c(C(F)(F)F)c1']; [0.988059223]
-COc1ccc(-c2cccc3c2C(=O)CC3)cc1; ['COc1ccc(B(O)O)cc1']; ['O=C1CCc2cccc(Br)c21']; [0.999946594]
-COc1ccc(-c2cnoc2)cc1; ['Brc1cnoc1']; ['COc1ccc(B(O)O)cc1']; [0.996901393]
-COc1ccc(-c2ccc(OC)c(Cl)c2)cc1; ['COc1ccc(N)cc1Cl']; ['COc1ccccc1']; [0.925189316]
-COc1ccc(-c2ccc(C(C)(C)N)cc2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['COc1ccc(B(O)O)cc1']; [0.982618153]
-CCN(CC)c1ccc(OC)cc1; ['CCNCC', 'CCNCC']; ['COc1ccc(F)cc1', 'COc1ccc(Cl)cc1']; [0.937575161, 0.937575161]
-CCCn1cc(-c2ccc(OC)cc2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['COc1ccc(Br)cc1']; [0.999997377]
-CCOC(=O)Cc1ccc(OC)cc1; ['CCO', 'CCOC(=O)CN', 'CCOC(=O)CC(C)=O']; ['COc1ccc(CC(=O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1']; [0.997918546, 0.997918546, 0.997918546]
-COc1ccc(-c2ccc([S@](C)=O)cc2)cc1; ['COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1']; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1']; [0.999162912, 0.999162912]
-COc1ccc(Nc2cnccc2OC)cc1; ['COc1ccc(Cl)cc1', 'COc1ccc(N)cc1']; ['COc1ccncc1N', 'COc1ccncc1I']; [0.997053862, 0.997053862]
-COc1ccc(-c2c[nH]c3ccccc23)cc1; ['COc1ccc(NN)cc1']; ['c1ccc2[nH]ccc2c1']; [0.933303058]
-COc1ccc(-c2cc3c(=O)[nH]ccc3o2)cc1; [None]; [None]; [0]
-COc1ccc([C@H](CO)Cc2ccccc2)cc1; [None]; [None]; [0]
-COc1ccc(Nc2cnc3ccccc3c2)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(N)cc1']; ['Nc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1']; [0.996099114, 0.996099114]
-COc1ccc(-c2c[nH]c3cnccc23)cc1; ['Brc1c[nH]c2cnccc12']; ['COc1ccc(B(O)O)cc1']; [0.993187785]
-COc1ccc([C@@H]2CCCN(C(=O)CC#N)C2)cc1; [None]; [None]; [0]
-COc1ccc([C@@H]2CC[C@@H](C#N)CC2)cc1; [None]; [None]; [0]
-COc1ccc([C@@H]2CC[C@@H](CC#N)CC2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1']; [0.999737442, 0.999737442, 0.999737442, 0.999737442]
-CNS(=O)(=O)c1ccc(-c2ccc(OC)cc2)cc1; ['CN']; ['COc1ccc(-c2ccc(S(=O)(=O)Cl)cc2)cc1']; [0.999820769]
-COc1ccc(-c2cccc(F)c2C(N)=O)cc1; ['COc1ccc(B(O)O)cc1']; ['NC(=O)c1c(F)cccc1Br']; [0.999986887]
-COc1ccc(-n2ncc3ccccc32)cc1; ['COc1ccc(NN)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1']; ['O=Cc1ccccc1Br', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.999983907, 0.999983907, 0.999983907]
-COc1ccc([C@H]2COCC[C@@H]2C#N)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(S(C)(=O)=O)cc2)cc1; ['COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; [0.999269545, 0.999269545]
-COc1ccc(-c2cccnc2O)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1']; ['Oc1ncccc1Br', 'Oc1ncccc1Cl']; [0.999885917, 0.999885917]
-COc1ccc(-c2ccc(OC)cc2OC)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)c(OC)c1']; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(Br)cc1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(Cl)cc1']; [0.999797642, 0.999797642, 0.999797642, 0.999797642]
-COc1ccc(-c2nc3ccc(O)cc3[nH]2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(C(=O)c3ccccc3)cc2)cc1; ['COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(O)cc1', 'COc1ccc(-c2ccccc2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(O)cc1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Cl)c1ccccc1', 'O=C(c1ccccc1)c1ccc(O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.99996841, 0.99996841, 0.99996841, 0.99996841, 0.99996841, 0.99996841, 0.99996841, 0.99996841]
-COc1ccc(-n2ncc3c(O)cccc32)cc1; [None]; [None]; [0]
-COc1ccc(-n2ccnc2)cc1; ['COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(F)cc1']; ['c1c[nH]cn1', 'c1c[nH]cn1', 'c1c[nH]cn1']; [0.999772966, 0.999772966, 0.999772966]
-COc1ccc(-c2cnc(N)s2)cc1; ['COc1ccc(C(C)=O)cc1']; ['NC(N)=S']; [0.913218737]
-COc1ccc(-c2cncc(C)n2)cc1; ['COc1ccc(B(O)O)cc1']; ['Cc1cncc(Cl)n1']; [0.999818742]
-COc1ccc(Cc2ccncc2)cc1; ['COc1ccccc1', 'COc1ccccc1', 'BrCc1ccncc1']; ['ClCc1ccncc1', 'OCc1ccncc1', 'COc1ccccc1']; [0.962272, 0.962272, 0.962272]
-COc1ccc(-c2c(F)cccc2OC)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1']; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O']; [0.999987125, 0.999987125]
-COc1ccc(OC2CCOCC2)cc1; ['COc1ccc(Cl)cc1']; ['OC1CCOCC1']; [0.988573074]
-COc1ccc(-c2nc(N)c3ccccc3n2)cc1; ['COc1ccc(C=O)cc1']; ['N#Cc1ccccc1Br']; [0.997971475]
-COc1ccc(-c2nnc(N)s2)cc1; ['COc1ccc(C#N)cc1', 'COc1ccc(C(=O)O)cc1']; ['NNC(N)=S', 'NNC(N)=S']; [0.999995, 0.999995]
-COc1ccc(Cc2cccnc2)cc1; ['COc1ccc(CBr)cc1', 'Brc1cccnc1']; ['OB(O)c1cccnc1', 'COc1ccc(CCl)cc1']; [0.998511255, 0.998511255]
-COc1ccc(-c2cccc3ccsc23)cc1; ['Brc1cccc2ccsc12']; ['COc1ccc(B(O)O)cc1']; [0.999435842]
-COc1ccc(-c2cc(C#N)ccc2OC)cc1; ['COc1ccc(C#N)cc1Br']; ['COc1ccccc1']; [0.964680374]
-COc1ccc(-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
-COc1ccc(NCC(C)(C)C)cc1; ['CC(C)(C)CN', 'CC(C)(C)CN', 'CC(C)(C)CBr']; ['COc1ccc(I)cc1', 'COc1ccc(F)cc1', 'COc1ccc(N)cc1']; [0.99045217, 0.99045217, 0.99045217]
-COc1ccc(OC(C)(C)C)cc1; ['CC(C)(C)[O-]']; ['COc1ccc(Cl)cc1']; [0.891622365]
-COc1ccc(-c2cc(C)cc(C)c2)cc1; ['COc1ccc(Br)cc1']; ['Cc1cc(C)cc(Br)c1']; [0.992473364]
-COc1ccc(-c2cc(OC)ccc2OC)cc1; [None]; [None]; [0]
-COc1ccc([C@H]2CC[C@@](C)(O)CC2)cc1; [None]; [None]; [0]
-N#Cc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['N#Cc1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999872804]
-COc1ccc(N2CC=C(c3c[nH]c4ccccc34)CC2)cc1; ['COc1ccc(N2CCC(=O)CC2)cc1']; ['c1ccc2[nH]ccc2c1']; [0.999021173]
-Cc1n[nH]cc1-c1nc2ncc(Br)cc2[nH]1; ['Cc1n[nH]cc1C=O']; ['Nc1cc(Br)cnc1N']; [0.999708354]
-COc1ncccc1-c1nc2ncc(Br)cc2[nH]1; ['COc1ncccc1C=O', 'COc1ncccc1C(=O)O']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; [0.999915, 0.999915]
-COc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['CCOc1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999756515]
-COc1cc(-c2nc3ncc(Br)cc3[nH]2)cc(OC)c1OC; ['COc1cc(C(=O)O)cc(OC)c1OC']; ['Nc1cc(Br)cnc1N']; [0.999938607]
-CS(=O)(=O)c1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; ['CS(=O)(=O)c1cccc(C(=O)O)c1']; ['Nc1cc(Br)cnc1N']; [0.999986172]
-Cn1nncc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-Cn1cc(-c2nc3ncc(Br)cc3[nH]2)cn1; ['Cn1cc(C(=O)O)cn1', 'Cn1cc(C=O)cn1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; [0.99994278, 0.99994278]
-Oc1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cccc(O)c1']; [0.981679]
-Brc1cnc2nc(-c3cnc4cccnn34)[nH]c2c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1nc2ncc(Br)cc2[nH]1; ['Cc1nn(C)cc1C(=O)O']; ['Nc1cc(Br)cnc1N']; [0.999998808]
-COc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['COc1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999550045]
-Brc1cnc2nc(-c3nc4ccccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-Cc1cc(Nc2nc3ncc(Br)cc3[nH]2)sn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-Brc1cnc2nc(Nc3ncccn3)[nH]c2c1; [None]; [None]; [0]
-Fc1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cccc(F)c1']; [0.999986053]
-O=C(Nc1ccccc1)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-OCCOc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(OCCO)cc1']; [0.999902248]
-Brc1cnc2nc(Cc3nccc4ccccc34)[nH]c2c1; [None]; [None]; [0]
-Clc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(Cl)cc1']; [0.99986136]
-Cc1cc(-c2nc3ncc(Br)cc3[nH]2)nn1C; ['Cc1cc(C=O)nn1C']; ['Nc1cc(Br)cnc1N']; [0.999945879]
-O=C(Nc1nc2ncc(Br)cc2[nH]1)C1CC1; [None]; [None]; [0]
-Brc1cnc2nc(Nc3ccncn3)[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(C(F)(F)F)cc1']; [0.999968648]
-Brc1cnc2nc(-c3cccc(C4CCNCC4)c3)[nH]c2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['CNS(=O)(=O)c1ccc(C(=O)O)cc1']; ['Nc1cc(Br)cnc1N']; [0.99918]
-Oc1ccccc1Cc1nc2ncc(Br)cc2[nH]1; ['Nc1cc(Br)cnc1N']; ['O=C(O)Cc1ccccc1O']; [0.9992823]
-C[C@H](O)COc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2nc3ncc(Br)cc3[nH]2)s1; [None]; [None]; [0]
-Brc1cnc2nc(Cc3cccnc3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)Cc1cccnc1']; [0.992642224]
-CN(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['CN(C)c1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999984741]
-Brc1cnc2nc(-c3cncnc3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cncnc1']; [0.997895956]
-Brc1cnc2nc(Cc3ccncc3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)Cc1ccncc1']; [0.999501944]
-Clc1ncc(-c2nc3ncc(Br)cc3[nH]2)cn1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cnc(Cl)nc1']; [0.999203146]
-COc1ccc(Cc2nc3ncc(Br)cc3[nH]2)cc1; ['COc1ccc(CC(=O)O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999752581]
-OC[C@@H](O)Cc1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-Brc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(Br)cc1']; [0.999354422]
-COc1ccc(Cl)cc1-c1nc2ncc(Br)cc2[nH]1; ['COc1ccc(Cl)cc1C=O']; ['Nc1cc(Br)cnc1N']; [0.99995923]
-Brc1cnc2nc(-c3c[nH]c4ccccc34)[nH]c2c1; [None]; [None]; [0]
-Brc1cnc2nc(-n3ccnc3)[nH]c2c1; [None]; [None]; [0]
-Brc1cnc2nc(-c3cn[nH]c3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cn[nH]c1']; [0.997490406]
-Brc1cnc2nc(-c3ccc[nH]3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc[nH]1']; [0.999825656]
-Brc1cnc2nc(Cn3ccnc3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(-c2nc3ncc(Br)cc3[nH]2)ccc1O; ['COc1cc(C=O)ccc1O']; ['Nc1cc(Br)cnc1N']; [0.998283386]
-Brc1cnc2nc(-c3ccc4c(c3)CCO4)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc2c(c1)CCO2']; [0.999882579]
-Brc1cnc2nc(-c3cc4ccccc4cn3)[nH]c2c1; [None]; [None]; [0]
-Fc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1F; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(F)c(F)c1']; [0.999996066]
-Brc1cnc2nc(-c3cccc4c3OCO4)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cccc2c1OCO2']; [0.99994719]
-CC(=O)Nc1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1']; ['Nc1cc(Br)cnc1N']; [0.998633206]
-Brc1cnc2nc(-c3scc4c3OCCO4)[nH]c2c1; [None]; [None]; [0]
-Brc1cnc2nc(-c3cnc4ccccc4c3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cnc2ccccc2c1']; [0.999972939]
-CC1(COc2nc3ncc(Br)cc3[nH]2)COC1; [None]; [None]; [0]
-COCCOc1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-CSc1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; ['CSc1cccc(C=O)c1', 'CSc1cccc(C(=O)O)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; [0.99993515, 0.99993515]
-Brc1cnc2nc(-c3ccco3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccco1']; [0.998482883]
-Fc1ccc(-c2nc3ncc(Br)cc3[nH]2)c(Cl)c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(F)cc1Cl']; [0.999999285]
-Cc1cc(-c2nc3ncc(Br)cc3[nH]2)nc(N)n1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2nc3ncc(Br)cc3[nH]2)CC1; ['Nc1cc(Br)cnc1N']; ['O=C(O)[C@H]1CC[C@H](O)CC1']; [0.999913454]
-COc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1OC; ['COc1ccc(C=O)cc1OC']; ['Nc1cc(Br)cnc1N']; [0.999437273]
-OC[C@H](Cc1ccccc1)c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2nc3ncc(Br)cc3[nH]2)C1; [None]; [None]; [0]
-CCc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['CCc1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999871]
-Clc1ccc(-c2nc3ncc(Br)cc3[nH]2)c(Cl)c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(Cl)cc1Cl']; [0.999842048]
-Brc1cnc2nc(-c3ccsc3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccsc1']; [0.999994278]
-Brc1cnc(-c2nc3ncc(Br)cc3[nH]2)nc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2nc3ncc(Br)cc3[nH]2)c1; ['Cc1cc(C)cc(C(=O)O)c1']; ['Nc1cc(Br)cnc1N']; [0.998906612]
-COc1ccc(CNc2nc3ncc(Br)cc3[nH]2)cc1; ['COc1ccc(CN=C=S)cc1']; ['Nc1cc(Br)cnc1N']; [0.998337269]
-COc1ccc2cccc(-c3nc4ncc(Br)cc4[nH]3)c2c1; [None]; [None]; [0]
-COc1cc(-c2nc3ncc(Br)cc3[nH]2)ccc1Cl; ['COc1cc(C(=O)O)ccc1Cl']; ['Nc1cc(Br)cnc1N']; [0.999735415]
-COc1cc(F)c(-c2nc3ncc(Br)cc3[nH]2)cc1OC; [None]; [None]; [0]
-Cn1cc(-c2nc3ncc(Br)cc3[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1ccc(-c2nc3ncc(Br)cc3[nH]2)o1; ['Cc1ccc(C=O)o1']; ['Nc1cc(Br)cnc1N']; [0.999926805]
-Cc1cc(Nc2nc3ncc(Br)cc3[nH]2)nn1C; [None]; [None]; [0]
-Oc1ccc2cccc(-c3nc4ncc(Br)cc4[nH]3)c2c1; [None]; [None]; [0]
-Brc1cnc2nc(-c3ccc4cn[nH]c4c3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc2cn[nH]c2c1']; [0.833522916]
-COc1cc(OC)cc(-c2nc3ncc(Br)cc3[nH]2)c1; ['COc1cc(C=O)cc(OC)c1', 'COc1cc(OC)cc(C(=O)O)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; [0.999721, 0.999721]
-Cc1nc(Nc2nc3ncc(Br)cc3[nH]2)sc1C; [None]; [None]; [0]
-Brc1cnc2nc(-c3cc4ccccc4o3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cc2ccccc2o1']; [0.999737322]
-COc1cc(-c2nc3ncc(Br)cc3[nH]2)c(OC)cc1Br; [None]; [None]; [0]
-CCn1cc(-c2nc3ncc(Br)cc3[nH]2)cn1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(OC(F)(F)F)cc1']; [0.999998808]
-CC(C)Oc1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-COC(=O)Nc1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-Brc1cnc2nc(-c3cscn3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cscn1']; [0.999987483]
-CCc1cccc(-c2nc3ncc(Br)cc3[nH]2)n1; [None]; [None]; [0]
-Cc1ccc(-c2nc3ncc(Br)cc3[nH]2)nc1C; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
-OCCc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-Fc1ccc(Nc2nc3ncc(Br)cc3[nH]2)nc1; [None]; [None]; [0]
-Brc1cnc2nc(Nc3ccccn3)[nH]c2c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc2c(=O)[nH]ccc2c1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['O=c1[nH]ccc2cc(Br)ccc12', 'O=c1[nH]ccc2cc(Br)ccc12']; [0.99997437, 0.99997437]
-CS(=O)(=O)c1ccc(Cl)c(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3ccnc4ccccc34)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1ccnc2ccccc12']; [0.998271942]
-O=c1[nH]ccc2cc([C@@H]3C[C@H](O)C3)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cccnc3)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1cccnc1']; [0.999862313]
-O=c1[nH]ccc2cc(Cc3cc(F)cc(F)c3)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cccc(C(F)(F)F)c3)ccc12; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.99999392]
-O=c1[nH]ccc2cc(-c3cc[nH]n3)ccc12; ['CC1(C)OB(c2cc[nH]n2)OC1(C)C', 'O=c1[nH]ccc2cc(Br)ccc12']; ['O=c1[nH]ccc2cc(Br)ccc12', 'OB(O)c1cc[nH]n1']; [0.999883652, 0.999883652]
-O=c1[nH]ccc2cc(-c3ccccc3Cl)ccc12; ['CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'O=c1[nH]ccc2cc(Br)ccc12']; ['O=c1[nH]ccc2cc(Br)ccc12', 'OB(O)c1ccccc1Cl']; [0.999986053, 0.999986053]
-O=c1[nH]ccc2cc(-c3ccccc3F)ccc12; ['CC1(C)OB(c2ccccc2F)OC1(C)C', 'O=c1[nH]ccc2cc(Br)ccc12']; ['O=c1[nH]ccc2cc(Br)ccc12', 'OB(O)c1ccccc1F']; [0.999992609, 0.999992609]
-O=c1[nH]ccc2cc(-c3ccccc3OC(F)(F)F)ccc12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'O=c1[nH]ccc2cc(Br)ccc12']; ['O=c1[nH]ccc2cc(Br)ccc12', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999954104, 0.999954104]
-O=c1[nH]ccc2cc(-c3ccccc3Br)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1ccccc1Br']; [0.981272578]
-N#Cc1ccccc1-c1ccc2c(=O)[nH]ccc2c1; ['CC1(C)OB(c2ccccc2C#N)OC1(C)C', 'N#Cc1ccccc1B(O)O']; ['O=c1[nH]ccc2cc(Br)ccc12', 'O=c1[nH]ccc2cc(Br)ccc12']; [0.999981165, 0.999981165]
-O=c1[nH]ccc2cc(-c3cnn(Cc4ccccc4)c3)ccc12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999998212]
-O=c1[nH]ccc2cc(-c3c(F)cccc3F)ccc12; ['CC1(C)OB(c2c(F)cccc2F)OC1(C)C']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.99999404]
-NC(=O)c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3ccncn3)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cnc(-c4ccccc4)[nH]3)ccc12; [None]; [None]; [0]
-N[C@H](c1ccc2c(=O)[nH]ccc2c1)c1ccco1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3ccc4c(c3)CCC4)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cnn(CCO)c3)ccc12; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999990344]
-O=C(Nc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(=O)[nH]ccc3c2)c(Br)c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cnc4ccccn34)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cnco3)ccc12; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3c(=O)[nH]ccc3c2)s1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cnc4cccnn34)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3c(Cl)cccc3Cl)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999608]
-Cc1ccc(Cl)c(-c2ccc3c(=O)[nH]ccc3c2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999390721]
-Cc1nc(N)sc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(OC3CCCCC3)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(NCc3cccnc3)ccc12; ['NCc1cccnc1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999536753]
-CC(C)(C)Nc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc3c(=O)[nH]ccc3c2)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1; ['COc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cccc(B(O)O)c1']; ['O=c1[nH]ccc2cc(Br)ccc12', 'O=c1[nH]ccc2cc(Br)ccc12']; [0.999976397, 0.999976397]
-O=c1[nH]ccc2cc(-c3cccc(Cl)c3Cl)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1cccc(Cl)c1Cl']; [0.99964]
-O=c1[nH]ccc2cc(-c3ccc4ccccc4c3)ccc12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999992371]
-O=c1[nH]ccc2cc(Nc3cccnc3)ccc12; [None]; [None]; [0]
-C[C@H](CO)Nc1ccc2c(=O)[nH]ccc2c1; ['C[C@@H](N)CO']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.985893488]
-Nc1nccc(-c2ccc3c(=O)[nH]ccc3c2)n1; [None]; [None]; [0]
-O=C(Nc1ccc2c(=O)[nH]ccc2c1)c1cccs1; ['NC(=O)c1cccs1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.987524748]
-O=c1[nH]ccc2cc(-c3ccc(Cl)s3)ccc12; ['CC1(C)OB(c2ccc(Cl)s2)OC1(C)C', 'Clc1ccc(Cl)s1']; ['O=c1[nH]ccc2cc(Br)ccc12', 'O=c1[nH]ccc2cc(Br)ccc12']; [0.999977946, 0.999977946]
-CC(C)COc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-n3cnc4ccccc43)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['c1ccc2[nH]cnc2c1']; [0.971151233]
-O=c1[nH]ccc2cc(-c3cncc4ccccc34)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1cncc2ccccc12']; [0.998130262]
-O=c1[nH]ccc2cc(-c3cccc(O)c3)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1cccc(O)c1']; [0.991264]
-Cn1cncc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(Nc3ccncc3)ccc12; ['Nc1ccncc1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.99922514]
-Cn1cc(-c2ccc3c(=O)[nH]ccc3c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; ['O=c1[nH]ccc2cc(Br)ccc12', 'O=c1[nH]ccc2cc(Br)ccc12']; [0.99999249, 0.99999249]
-O=c1[nH]ccc2cc(-c3ccco3)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1ccco1']; [0.99996233]
-O=c1[nH]ccc2cc(-c3cccc(CO)c3)ccc12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'O=c1[nH]ccc2cc(Br)ccc12']; ['O=c1[nH]ccc2cc(Br)ccc12', 'OCc1cccc(B(O)O)c1']; [0.999984503, 0.999984503]
-O=c1[nH]ccc2cc(-c3cccs3)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1cccs1']; [0.999703825]
-N#CCCc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1; ['N#CCCc1cccc(Br)c1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.761196434]
-CC(C)Nc1ccc2c(=O)[nH]ccc2c1; ['CC(C)N']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.990459204]
-CC(=O)Nc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.998519719]
-CCC(=O)Nc1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3ccc(F)cc3C(F)(F)F)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999777853]
-COc1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.998509228]
-CCCn1cc(-c2ccc3c(=O)[nH]ccc3c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999999404]
-Cc1cc(-c2ccc3c(=O)[nH]ccc3c2)no1; [None]; [None]; [0]
-CCC(=O)Nc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccc4c(=O)[nH]ccc4c3)c21; [None]; [None]; [0]
-CCOC(=O)Cc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cnoc3)ccc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999572694]
-CC(C)(N)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cc4c(=O)[nH]ccc4o3)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3c[nH]c4ccccc34)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3c[nH]c4cnccc34)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(Nc3cnc4ccccc4c3)ccc12; [None]; [None]; [0]
-CCN(CC)c1ccc2c(=O)[nH]ccc2c1; ['CCNCC']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.893571794]
-N#CCC(=O)N1CCC[C@@H](c2ccc3c(=O)[nH]ccc3c2)C1; [None]; [None]; [0]
-COc1ccncc1Nc1ccc2c(=O)[nH]ccc2c1; ['COc1ccncc1N']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999783814]
-N#C[C@@H]1CC[C@@H](c2ccc3c(=O)[nH]ccc3c2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]ccc2cc(Br)ccc12', 'O=c1[nH]ccc2cc(Br)ccc12']; [0.999998331, 0.999998331]
-N#C[C@H]1CCOC[C@@H]1c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc([C@H](CO)Cc3ccccc3)ccc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999875784]
-N#CC[C@@H]1CC[C@@H](c2ccc3c(=O)[nH]ccc3c2)CC1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-n3ncc4c(O)cccc43)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cccnc3O)ccc12; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(=O)[nH]ccc3c2)c(OC)c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-n3ncc4ccccc43)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(Cc3ccncc3)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-n3ccnc3)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['c1c[nH]cn1']; [0.978054225]
-O=c1[nH]ccc2cc(-c3nc4ccc(O)cc4[nH]3)ccc12; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999859691]
-O=c1[nH]ccc2cc(OC3CCOCC3)ccc12; [None]; [None]; [0]
-Cc1cncc(-c2ccc3c(=O)[nH]ccc3c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(=O)[nH]ccc3c2)s1; [None]; [None]; [0]
-Nc1nnc(-c2ccc3c(=O)[nH]ccc3c2)s1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3nc4ccccc4s3)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['c1ccc2scnc2c1']; [0.995985806]
-COc1cccc(F)c1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cccc4ccsc34)ccc12; [None]; [None]; [0]
-Nc1nc(-c2ccc3c(=O)[nH]ccc3c2)nc2ccccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3c[nH]c4cccnc34)ccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(Cc3cccnc3)ccc12; [None]; [None]; [0]
-CC(C)(C)CNc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-CC(C)(C)Oc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccc3c(=O)[nH]ccc3c2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999416828]
-Cc1cc(C)cc(-c2ccc3c(=O)[nH]ccc3c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc(C(C)=O)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(I)c1']; ['CNC(=O)c1ccccc1', 'CNC(=O)c1ccccc1']; [0.998798609, 0.998798609]
-C[C@@]1(O)CC[C@H](c2ccc3c(=O)[nH]ccc3c2)CC1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(N3CC=C(c4c[nH]c5ccccc45)CC3)ccc12; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.99986887]
-O=c1[nH]ccc2cc(N3CCC(c4nc5ccccc5[nH]4)CC3)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999500871]
-CC(=O)c1cccc(Cc2cc(F)cc(F)c2)c1; ['CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(CCl)c1']; ['Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(Br)c1']; [0.999951124, 0.999951124]
-CCOc1ccccc1-c1cccc(C(C)=O)c1; ['CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1']; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1[Mg]Br']; [0.999865413, 0.999865413, 0.999865413]
-CC(=O)c1cccc([C@@H]2C[C@H](O)C2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cccc(C(F)(F)F)c2)c1; ['CC(=O)Cl']; ['FC(F)(F)c1cccc(-c2ccccc2)c1']; [0.906615555]
-CC(=O)c1cccc(-c2ccnc3ccccc23)c1; ['Brc1ccnc2ccccc12', 'CC(=O)c1cccc(B(O)O)c1']; ['CC(=O)c1cccc(B(O)O)c1', 'Clc1ccnc2ccccc12']; [0.999811351, 0.999811351]
-CC(=O)c1cccc(-c2cc[nH]n2)c1; ['CC(=O)c1cccc(C(C)=O)c1', 'Brc1cc[nH]n1']; ['COC(OC)N(C)C', 'CC(=O)c1cccc(B(O)O)c1']; [0.999282062, 0.999282062]
-CC(=O)c1cccc(-c2cccnc2)c1; ['CC(=O)c1cccc(Br)c1']; ['OB(O)c1cccnc1']; [0.974199295]
-CC(=O)c1cccc(-c2ccccc2Br)c1; ['CC(=O)c1cccc(I)c1', 'Brc1ccccc1I', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Cl)c1', 'Brc1ccccc1Br', 'CC(=O)c1cccc(Br)c1']; ['OB(O)c1ccccc1Br', 'CC(=O)c1cccc(B(O)O)c1', 'Clc1ccccc1Br', 'OB(O)c1ccccc1Br', 'CC(=O)c1cccc(B(O)O)c1', 'OB(O)c1ccccc1Br']; [0.999865174, 0.999865174, 0.999865174, 0.999865174, 0.999865174, 0.999865174]
-CC(=O)c1cccc(-c2ccccc2F)c1; ['CC(=O)c1cccc(Br)c1']; ['Fc1ccccc1Br']; [0.956162632]
-CC(=O)c1cccc(-c2ccccc2Cl)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccccc2C#N)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1']; ['N#Cc1ccccc1Br', 'N#Cc1ccccc1B(O)O']; [0.999680161, 0.999680161]
-CC(=O)c1cccc(-c2cnn(Cc3ccccc3)c2)c1; ['CC(=O)c1cccc(Br)c1', 'Brc1cnn(Cc2ccccc2)c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1']; [0.999995351, 0.999995351]
-CC(=O)c1cccc(-c2ccccc2OC(F)(F)F)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1']; ['FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999454796, 0.999454796]
-CC(=O)c1cccc(-c2ccccc2C(N)=O)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['NC(=O)c1ccccc1Br']; [0.999605954]
-CC(=O)c1cccc(-c2ccncn2)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['Clc1ccncn1']; [0.999643803]
-CC(=O)c1cccc(-c2c(F)cccc2F)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Cl)c1']; ['Fc1cccc(F)c1I', 'OB(O)c1c(F)cccc1F', 'Fc1cccc(F)c1Cl', 'OB(O)c1c(F)cccc1F']; [0.999759495, 0.999759495, 0.999759495, 0.999759495]
-CC(=O)c1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cnn(CCO)c2)c1; ['CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(Br)cn1']; [0.999895215, 0.999895215]
-CC(=O)c1cccc(-c2cccc(NC(=O)c3ccccc3)c2)c1; [None]; [None]; [0]
-CC(=O)c1cccc([C@@H](N)c2ccco2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccc(C)cc2Br)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['Cc1ccc(Br)c(Br)c1']; [0.939346135]
-CC(=O)c1cccc(-c2ccc3c(c2)CCC3)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['Oc1ccc2c(c1)CCC2']; [0.980041564]
-CC(=O)c1cccc(-c2sc(C)nc2C)c1; ['CC(=O)c1cccc(Br)c1']; ['Cc1csc(C)n1']; [0.986079752]
-CC(=O)c1cccc(-c2cnc3ccccn23)c1; ['CC(=O)c1cccc(Cl)c1']; ['O=C(O)c1cnc2ccccn12']; [0.955338418]
-CC(=O)c1cccc(-c2cnco2)c1; ['Brc1cccc(-c2cnco2)c1']; ['CON(C)C(C)=O']; [0.96391809]
-CC(=O)c1cccc(-c2c(Cl)cccc2Cl)c1; ['CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I']; [0.999422193, 0.999422193]
-CC(=O)c1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12']; ['CC(=O)c1cccc(B(O)O)c1']; [0.999990821]
-CC(=O)c1cccc(OC2CCCCC2)c1; ['BrC1CCCCC1', 'CC(=O)c1cccc(I)c1']; ['CC(=O)c1cccc(O)c1', 'OC1CCCCC1']; [0.998861313, 0.998861313]
-CC(=O)c1cccc(-c2cc(C)ccc2Cl)c1; ['CC(=O)c1cccc(Cl)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Cl)c1']; [0.959442377, 0.959442377]
-CC(=O)c1cccc(NCc2cccnc2)c1; ['CC(=O)c1cccc(N)c1', 'CC(=O)c1cccc(N)c1']; ['ClCc1cccnc1', 'O=Cc1cccnc1']; [0.997903, 0.997903]
-CC(=O)c1cccc(-c2cnc(C)[nH]2)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['Cc1ncc(I)[nH]1', 'Cc1ncc(Br)[nH]1']; [0.999456942, 0.999456942]
-CC(=O)c1cccc(-c2sc(N)nc2C)c1; [None]; [None]; [0]
-CC(=O)c1cccc(NC(C)(C)C)c1; ['CC(=O)c1cccc(Cl)c1']; ['CC(C)(C)N']; [0.751889527]
-COc1cccc(-c2cccc(C(C)=O)c2)c1; ['CC(=O)c1cccc(Br)c1']; ['COc1cccc([B-](F)(F)F)c1']; [0.855568707]
-CC(=O)c1cccc(-c2cccc(Cl)c2Cl)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Cl)c1', 'CC(=O)c1cccc(I)c1']; ['Clc1cccc(Br)c1Cl', 'OB(O)c1cccc(Cl)c1Cl', 'Clc1cccc(I)c1Cl', 'OB(O)c1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Cl', 'OB(O)c1cccc(Cl)c1Cl', 'Clc1cccc(I)c1Cl']; [0.999667406, 0.999667406, 0.999667406, 0.999667406, 0.999667406, 0.999667406, 0.999667406]
-CC(=O)c1cccc(Nc2cccnc2)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1']; ['Nc1cccnc1', 'Nc1cccnc1']; [0.99855715, 0.99855715]
-CC(=O)c1cccc(-c2ccc3ccccc3c2)c1; ['CC(=O)c1cccc(Br)c1', 'Brc1ccc2ccccc2c1', 'Br[Mg]c1ccc2ccccc2c1', 'CC(=O)c1cccc(Br)c1']; ['OB(O)c1ccc2ccccc2c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Cl)c1', 'c1ccc2ccccc2c1']; [0.999860287, 0.999860287, 0.999860287, 0.999860287]
-CC(=O)c1cccc(-c2ccnc(N)n2)c1; ['CC(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1nccc(Cl)n1']; [0.999953389]
-CC(=O)c1cccc(OCC(C)C)c1; ['CC(=O)c1cccc(O)c1']; ['CC(C)CO']; [0.993784428]
-CC(=O)c1cccc(-c2ccc(Cl)s2)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['Clc1ccc(Br)s1']; [0.999918938]
-CC(=O)c1cccc(-n2cnc3ccccc32)c1; ['CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(F)c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.97997874, 0.97997874]
-CC(=O)c1cccc(-c2cncc3ccccc23)c1; ['CC(=O)c1cccc(Cl)c1']; ['OB(O)c1cncc2ccccc12']; [0.99916923]
-CC(=O)c1cccc(N[C@H](C)CO)c1; ['CC(=O)c1cccc(I)c1']; ['C[C@@H](N)CO']; [0.946242273]
-CC(=O)c1cccc(NC(=O)c2cccs2)c1; ['CC(=O)c1cccc(N)c1', 'CC(=O)c1cccc(Br)c1']; ['O=C(O)c1cccs1', 'NC(=O)c1cccs1']; [0.999538779, 0.999538779]
-CC(=O)c1cccc(-c2cncn2C)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['Cn1cncc1Cl']; [0.999243855]
-CC(=O)c1cccc(-c2cccc(O)c2)c1; []; []; []
-CC(=O)c1cccc(O[C@H](C)[C@@H](C)O)c1; [None]; [None]; [0]
-CC(=O)c1cccc(Nc2ccncc2)c1; ['CC(=O)c1cccc(N)c1', 'CC(=O)c1cccc(F)c1']; ['Clc1ccncc1', 'Nc1ccncc1']; [0.995236218, 0.995236218]
-CC(=O)c1cccc(-c2cccc(CO)c2)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(Cl)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(Br)c1']; ['OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Cl)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1']; [0.998315, 0.998315, 0.998315, 0.998315, 0.998315, 0.998315, 0.998315, 0.998315]
-CC(=O)c1cccc(-c2cccs2)c1; ['CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(Br)c1']; ['CC1(C)OB(c2cccs2)OC1(C)C', 'c1ccsc1']; [0.999925494, 0.999925494]
-CC(=O)c1cccc(-c2cnn(C)c2)c1; ['CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(Br)cn1']; [0.999988914, 0.999988914]
-CC(=O)c1cccc(NC(C)C)c1; ['CC(=O)c1cccc(N)c1']; ['CC(C)Br']; [0.970385849]
-CC(=O)c1cccc(-c2ccco2)c1; ['CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(Cl)c1', 'CC(=O)c1cccc(Br)c1']; ['OB(O)c1ccco1', 'c1ccoc1', 'c1ccoc1', 'F[B-](F)(F)c1ccco1']; [0.999630213, 0.999630213, 0.999630213, 0.999630213]
-CC(=O)c1cccc(-c2ccc(F)cc2C(F)(F)F)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(O)c1']; ['Oc1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.992079198, 0.992079198]
-CC(=O)c1cccc(-c2cccc(CCC#N)c2)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['N#CCCc1cccc(Br)c1']; [0.999664426]
-CC(=O)Nc1cccc(-c2cccc(C(C)=O)c2)c1; ['CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(Cl)c1']; [0.992382, 0.992382, 0.992382]
-CCC(=O)Nc1ccc(-c2cccc(C(C)=O)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cccc(C(C)=O)c2)cc1Cl; ['CC(=O)c1cccc(Cl)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Cl)cc1Cl']; [0.995544255, 0.995544255]
-CCC(=O)Nc1cccc(C(C)=O)c1; []; []; []
-CCCn1cc(-c2cccc(C(C)=O)c2)cn1; ['CC(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['CCCn1cc(Br)cn1']; [0.999992609]
-CC(=O)c1cccc(-c2cnoc2)c1; ['Brc1cnoc1']; ['CC(=O)c1cccc(B(O)O)c1']; [0.989047945]
-CC(=O)c1cccc(-c2cc(C)on2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccc(C(C)(C)N)cc2)c1; ['CC(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1']; [0.999979, 0.999979]
-CCN(CC)c1cccc(C(C)=O)c1; []; []; []
-CC(=O)c1cccc(-c2cccc3c2C(=O)CC3)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['O=C1CCc2cccc(Br)c21']; [0.999958396]
-CCOC(=O)Cc1cccc(C(C)=O)c1; []; []; []
-COc1ccncc1Nc1cccc(C(C)=O)c1; ['CC(=O)c1cccc(I)c1']; ['COc1ccncc1N']; [0.998232543]
-CC(=O)c1cccc(-c2ccc([S@](C)=O)cc2)c1; ['CC(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1']; [0.999967337, 0.999967337, 0.999967337]
-CC(=O)c1cccc(-c2cc3c(=O)[nH]ccc3o2)c1; ['CC(=O)c1cccc(Br)c1']; ['O=c1[nH]ccc2occc12']; [0.977069318]
-CC(=O)c1cccc(Nc2cnc3ccccc3c2)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(N)c1', 'CC(=O)c1cccc(I)c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; [0.997259378, 0.997259378, 0.997259378, 0.997259378]
-CC(=O)c1cccc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
-CC(=O)c1cccc([C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
-CC(=O)c1cccc([C@@H]2CCCN(C(=O)CC#N)C2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2c[nH]c3cnccc23)c1; ['Brc1c[nH]c2cnccc12']; ['CC(=O)c1cccc(B(O)O)c1']; [0.989302933]
-CC(=O)c1cccc([C@@H]2CC[C@@H](CC#N)CC2)c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc(C(C)=O)c2)cc1; [None]; [None]; [0]
-CC(=O)c1cccc([C@H]2COCC[C@@H]2C#N)c1; [None]; [None]; [0]
-CC(=O)c1cccc([C@@H]2CC[C@@H](C#N)CC2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccc(S(C)(=O)=O)cc2)c1; ['CC(=O)c1cccc(I)c1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999976754]
-CC(=O)c1cccc(-n2ncc3ccccc32)c1; ['CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(Br)c1']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.998215675, 0.998215675]
-CC(=O)c1cccc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)c1; ['CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(Cl)c1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999999404, 0.999999404, 0.999999404, 0.999999404]
-CC(=O)c1cccc(-n2ncc3c(O)cccc32)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cccc(F)c2C(N)=O)c1; ['CC(=O)c1cccc(I)c1']; ['NC(=O)c1ccccc1F']; [0.94357127]
-CC(=O)c1cccc(Cc2ccncc2)c1; ['CC(=O)c1cccc(CCl)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['OB(O)c1ccncc1', 'ClCc1ccncc1']; [0.999107897, 0.999107897]
-CC(=O)c1cccc(-c2cccnc2O)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['Oc1ncccc1I', 'Oc1ncccc1Br']; [0.999884844, 0.999884844]
-CC(=O)c1cccc(OC2CCOCC2)c1; ['BrC1CCOCC1', 'CC(=O)c1cccc(O)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(Cl)c1']; ['CC(=O)c1cccc(O)c1', 'OC1CCOCC1', 'OC1CCOCC1', 'OC1CCOCC1', 'OC1CCOCC1']; [0.998867273, 0.998867273, 0.998867273, 0.998867273, 0.998867273]
-CC(=O)c1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
-COc1ccc(-c2cccc(C(C)=O)c2)c(OC)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1']; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; [0.999137878, 0.999137878]
-CC(=O)c1cccc(-c2ccc(C(=O)c3ccccc3)cc2)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(N)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1']; [0.999983072, 0.999983072, 0.999983072, 0.999983072]
-CC(=O)c1cccc(-n2ccnc2)c1; ['CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(F)c1', 'CC(=O)c1cccc(Cl)c1']; ['c1c[nH]cn1', 'c1c[nH]cn1', 'c1c[nH]cn1']; [0.997658849, 0.997658849, 0.997658849]
-CC(=O)c1cccc(-c2cncc(C)n2)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['Cc1cncc(Cl)n1']; [0.999806464]
-CC(=O)c1cccc(-c2cnc(N)s2)c1; ['CC(=O)c1cccc(C(C)=O)c1']; ['NC(N)=S']; [0.828221381]
-CC(=O)c1cccc(-c2nnc(N)s2)c1; ['CC(=O)c1cccc(C(=O)O)c1']; ['NNC(N)=S']; [0.878598928]
-CC(=O)c1cccc(-c2cccc3ccsc23)c1; ['Brc1cccc2ccsc12']; ['CC(=O)c1cccc(B(O)O)c1']; [0.995613575]
-COc1cccc(F)c1-c1cccc(C(C)=O)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(Br)c1']; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O']; [0.999961495, 0.999961495, 0.999961495, 0.999961495, 0.999961495, 0.999961495]
-COc1ccc(C#N)cc1-c1cccc(C(C)=O)c1; ['CC(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl']; [0.999998093, 0.999998093, 0.999998093]
-CC(=O)c1cccc(-c2nc3ccccc3s2)c1; ['CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(I)c1']; ['c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.992921412, 0.992921412]
-CC(=O)c1cccc(-c2nc(N)c3ccccc3n2)c1; ['CC(=O)c1cccc(C=O)c1']; ['N#Cc1ccccc1Br']; [0.99768]
-CC(=O)c1cccc(Cc2cccnc2)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(CCl)c1']; ['ClCc1cccnc1', 'OB(O)c1cccnc1']; [0.999035358, 0.999035358]
-CC(=O)c1cccc(-c2c[nH]c3cccnc23)c1; ['CC(=O)c1cccc(Br)c1']; ['c1cnc2cc[nH]c2c1']; [0.97632879]
-CC(=O)c1cccc(OC(C)(C)C)c1; ['C=C(C)C']; ['CC(=O)c1cccc(O)c1']; [0.756216228]
-CC(=O)c1cccc(NCC(C)(C)C)c1; ['CC(=O)c1cccc(N)c1', 'CC(=O)c1cccc(Br)c1']; ['CC(C)(C)CBr', 'CC(C)(C)CN']; [0.925899804, 0.925899804]
-COc1ccc(OC)c(-c2cccc(C(C)=O)c2)c1; ['CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(I)c1']; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1']; [0.999971747, 0.999971747]
-CC(=O)c1cccc([C@H]2CC[C@@](C)(O)CC2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cc(C)cc(C)c2)c1; ['CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Cl)c1']; ['Cc1cc(C)cc(Br)c1', 'Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc(Cl)c1', 'Cc1cc(C)cc(B(O)O)c1']; [0.999678, 0.999678, 0.999678, 0.999678]
-CC(=O)c1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; ['CC(=O)c1cccc(F)c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.950099468]
-CC(=O)c1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['CC(=O)c1cccc(Cl)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(F)c1']; [0.997632504, 0.997632504, 0.997632504]
-CCOc1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-Oc1ccc(Br)cc1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-Oc1ccc(Br)cc1Cc1cc(F)cc(F)c1; ['Fc1cc(F)cc(CCl)c1', 'OCc1cc(F)cc(F)c1', 'Fc1cc(F)cc(CBr)c1', 'Fc1cccc(F)c1']; ['Oc1ccc(Br)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Br)cc1', 'OCc1cc(Br)ccc1O']; [0.965673089, 0.965673089, 0.965673089, 0.965673089]
-Oc1ccc(Br)cc1-c1cccc(C(F)(F)F)c1; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; ['Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1Br']; [0.999636054, 0.999636054]
-Oc1ccc(Br)cc1-c1cc[nH]n1; []; []; []
-Oc1ccc(Br)cc1-c1ccnc2ccccc12; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1ccccc1Cl; ['CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'OB(O)c1ccccc1Cl']; ['Oc1ccc(Br)cc1Br', 'Oc1ccc(Br)cc1Br']; [0.999453247, 0.999453247]
-Oc1ccc(Br)cc1-c1cccnc1; ['OB(O)c1cccnc1']; ['Oc1ccc(Br)cc1I']; [0.998538136]
-Oc1ccc(Br)cc1-c1ccccc1F; ['OB(O)c1ccccc1F']; ['Oc1ccc(Br)cc1Br']; [0.993182361]
-N#Cc1ccccc1-c1cc(Br)ccc1O; ['N#Cc1ccccc1B(O)O', 'N#Cc1ccccc1B(O)O']; ['Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1Br']; [0.995659113, 0.995659113]
-Oc1ccc(Br)cc1-c1ccccc1OC(F)(F)F; ['FC(F)(F)Oc1ccccc1I']; ['Oc1ccc(Br)cc1']; [0.988410234]
-Oc1ccc(Br)cc1-c1ccccc1Br; ['OB(O)c1ccccc1Br']; ['Oc1ccc(Br)cc1I']; [0.995571852]
-Oc1ccc(Br)cc1-c1c(F)cccc1F; ['OB(O)c1c(F)cccc1F']; ['Oc1ccc(Br)cc1I']; [0.996796429]
-Oc1ccc(Br)cc1-c1cnn(Cc2ccccc2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Oc1ccc(Br)cc1Br']; [0.999610364]
-NC(=O)c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1ccncn1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1cc(Br)ccc1O; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc(Br)ccc2O)c1)c1ccccc1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1ccc2c(c1)CCC2; [None]; [None]; [0]
-OCCn1cc(-c2cc(Br)ccc2O)cn1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1cnco1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1cnc2ccccn12; ['Oc1ccc(Br)cc1I']; ['c1ccn2ccnc2c1']; [0.996339202]
-Cc1ccc(-c2cc(Br)ccc2O)c(Br)c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1cnc2cccnn12; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc(Br)ccc2O)s1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1c(Cl)cccc1Cl; ['OB(O)c1c(Cl)cccc1Cl']; ['Oc1ccc(Br)cc1I']; [0.997932911]
-CC(C)(C)Nc1cc(Br)ccc1O; ['CC(C)(C)N']; ['Oc1ccc(Br)cc1Br']; [0.955046594]
-Oc1ccc(Br)cc1OC1CCCCC1; ['BrC1CCCCC1', 'IC1CCCCC1', 'OC1CCCCC1']; ['Oc1ccc(Br)cc1O', 'Oc1ccc(Br)cc1O', 'Oc1ccc(Br)cc1O']; [0.985859096, 0.985859096, 0.985859096]
-Cc1ccc(Cl)c(-c2cc(Br)ccc2O)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Oc1ccc(Br)cc1I']; [0.98602134]
-Oc1ccc(Br)cc1NCc1cccnc1; ['Nc1cc(Br)ccc1O', 'ClCc1cccnc1']; ['O=Cc1cccnc1', 'Nc1cc(Br)ccc1O']; [0.996445954, 0.996445954]
-Oc1ccc(Br)cc1-c1cccc(Cl)c1Cl; ['OB(O)c1cccc(Cl)c1Cl', 'Nc1cccc(Cl)c1Cl']; ['Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1']; [0.995615602, 0.995615602]
-COc1cccc(-c2cc(Br)ccc2O)c1; ['COc1cccc(B(O)O)c1', 'COc1cccc([Mg]Br)c1']; ['Oc1ccc(Br)cc1Br', 'Oc1ccc(Br)cc1F']; [0.996018469, 0.996018469]
-Cc1ncc(-c2cc(Br)ccc2O)[nH]1; [None]; [None]; [0]
-Oc1ccc(Br)cc1Nc1cccnc1; ['Ic1cccnc1']; ['Nc1cc(Br)ccc1O']; [0.995144129]
-Oc1ccc(Br)cc1-c1ccc2ccccc2c1; ['OB(O)c1ccc2ccccc2c1', 'Oc1ccc(Br)cc1I']; ['Oc1ccc(Br)cc1Br', 'c1ccc2ccccc2c1']; [0.999255955, 0.999255955]
-Nc1nccc(-c2cc(Br)ccc2O)n1; [None]; [None]; [0]
-C[C@H](CO)Nc1cc(Br)ccc1O; ['C[C@@H](N)CO']; ['Oc1ccc(Br)cc1Cl']; [0.962248683]
-O=C(Nc1cc(Br)ccc1O)c1cccs1; ['Nc1cc(Br)ccc1O']; ['O=C(O)c1cccs1']; [0.986095607]
-CC(C)COc1cc(Br)ccc1O; ['CC(C)CI']; ['Oc1ccc(Br)cc1O']; [0.787334]
-Oc1ccc(Br)cc1-c1ccc(Cl)s1; ['OB(O)c1ccc(Cl)s1']; ['Oc1ccc(Br)cc1Br']; [0.996479571]
-Oc1ccc(Br)cc1-n1cnc2ccccc21; ['Oc1ccc(Br)cc1Br']; ['c1ccc2[nH]cnc2c1']; [0.971863627]
-Oc1cccc(-c2cc(Br)ccc2O)c1; ['OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1']; ['Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1Br']; [0.999337852, 0.999337852]
-Oc1ccc(Br)cc1-c1cncc2ccccc12; [None]; [None]; [0]
-Oc1ccc(Br)cc1Nc1ccncc1; ['Ic1ccncc1', 'Nc1cc(Br)ccc1O']; ['Nc1cc(Br)ccc1O', 'Nc1ccncc1']; [0.987825215, 0.987825215]
-C[C@@H](O)[C@@H](C)Oc1cc(Br)ccc1O; [None]; [None]; [0]
-OCc1cccc(-c2cc(Br)ccc2O)c1; ['OCc1cccc(B(O)O)c1']; ['Oc1ccc(Br)cc1Br']; [0.93618983]
-Oc1ccc(Br)cc1-c1cccs1; ['OB(O)c1cccs1']; ['Oc1ccc(Br)cc1I']; [0.998901248]
-CC(C)Nc1cc(Br)ccc1O; []; []; []
-Cn1cncc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-Cn1cc(-c2cc(Br)ccc2O)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Oc1ccc(Br)cc1Br']; [0.999958038]
-Oc1ccc(Br)cc1-c1ccc(F)cc1C(F)(F)F; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; ['Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1Br']; [0.99879396, 0.99879396]
-Oc1ccc(Br)cc1-c1ccco1; ['OB(O)c1ccco1']; ['Oc1ccc(Br)cc1Br']; [0.993291378]
-CCC(=O)Nc1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
-CCC(=O)Nc1cc(Br)ccc1O; ['CCC(=O)Cl', 'CCC(=O)OC(=O)CC']; ['Nc1cc(Br)ccc1O', 'Nc1cc(Br)ccc1O']; [0.99827826, 0.99827826]
-COc1ccc(-c2cc(Br)ccc2O)cc1Cl; ['COc1ccc(B(O)O)cc1Cl', 'COc1ccccc1Cl', 'COc1ccc(I)cc1Cl']; ['Oc1ccc(Br)cc1Br', 'Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1']; [0.999563277, 0.999563277, 0.999563277]
-N#CCCc1cccc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(Br)ccc2O)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1I']; [0.999727309, 0.999727309]
-CCCn1cc(-c2cc(Br)ccc2O)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1Br']; [0.999981642, 0.999981642]
-Oc1ccc(Br)cc1-c1cnoc1; [None]; [None]; [0]
-CCOC(=O)Cc1cc(Br)ccc1O; []; []; []
-Cc1cc(-c2cc(Br)ccc2O)no1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cc(Br)ccc3O)c21; [None]; [None]; [0]
-CCN(CC)c1cc(Br)ccc1O; ['CCNCC']; ['Oc1ccc(Br)cc1F']; [0.786477268]
-COc1ccncc1Nc1cc(Br)ccc1O; ['COc1ccncc1I', 'COc1ccncc1N', 'COc1ccncc1Br', 'COc1ccncc1N']; ['Nc1cc(Br)ccc1O', 'Oc1ccc(Br)cc1I', 'Nc1cc(Br)ccc1O', 'Oc1ccc(Br)cc1Br']; [0.999753296, 0.999753296, 0.999753296, 0.999753296]
-O=c1[nH]ccc2oc(-c3cc(Br)ccc3O)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc(Br)ccc2O)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Oc1ccc(Br)cc1Br']; [0.928850949]
-Oc1ccc(Br)cc1Nc1cnc2ccccc2c1; ['Clc1cnc2ccccc2c1']; ['Nc1cc(Br)ccc1O']; [0.904812098]
-OC[C@H](Cc1ccccc1)c1cc(Br)ccc1O; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cc(Br)ccc2O)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cc(Br)ccc2O)CC1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cc(Br)ccc1O; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cc(Br)ccc2O)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc(Br)ccc2O)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1Br']; [0.999389529, 0.999389529]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(Br)ccc2O)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1ccc(Br)cc1Br']; [0.982485533]
-Oc1ccc(Br)cc1-n1ncc2c(O)cccc21; [None]; [None]; [0]
-Oc1ccc(Br)cc1-n1ncc2ccccc21; ['Oc1ccc(Br)cc1Br']; ['c1ccc2[nH]ncc2c1']; [0.985134]
-NC(=O)c1c(F)cccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-Oc1ccc(Br)cc1Cc1ccncc1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cc(Br)ccc3O)[nH]c2c1; ['Nc1ccc(O)cc1[N+](=O)[O-]']; ['O=Cc1cc(Br)ccc1O']; [0.934337139]
-Oc1ccc(Br)cc1OC1CCOCC1; ['BrC1CCOCC1']; ['Oc1ccc(Br)cc1O']; [0.996942341]
-Oc1ccc(Br)cc1-c1cccnc1O; [None]; [None]; [0]
-COc1ccc(-c2cc(Br)ccc2O)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Oc1ccc(Br)cc1Br']; [0.991314113]
-O=C(c1ccccc1)c1ccc(-c2cc(Br)ccc2O)cc1; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; ['Oc1ccc(Br)cc1I']; [0.9995597]
-Oc1ccc(Br)cc1-n1ccnc1; ['Oc1ccc(Br)cc1I']; ['c1c[nH]cn1']; [0.823180914]
-Nc1nnc(-c2cc(Br)ccc2O)s1; ['NNC(N)=S']; ['O=C(O)c1cc(Br)ccc1O']; [0.999912858]
-Oc1ccc(Br)cc1-c1nc2ccccc2s1; ['Nc1ccccc1S']; ['O=Cc1cc(Br)ccc1O']; [0.99929]
-Nc1ncc(-c2cc(Br)ccc2O)s1; [None]; [None]; [0]
-Cc1cncc(-c2cc(Br)ccc2O)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc(Br)ccc1O; ['COc1cccc(F)c1B(O)O']; ['Oc1ccc(Br)cc1Br']; [0.999581039]
-Oc1ccc(Br)cc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1cccc2ccsc12; [None]; [None]; [0]
-CC(C)(C)Oc1cc(Br)ccc1O; ['CC(C)(C)O']; ['Oc1ccc(Br)cc1O']; [0.955061853]
-Nc1nc(-c2cc(Br)ccc2O)nc2ccccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-CC(C)(C)CNc1cc(Br)ccc1O; ['CC(C)(C)CN', 'CC(C)(C)C=O']; ['Oc1ccc(Br)cc1I', 'Nc1cc(Br)ccc1O']; [0.991633296, 0.991633296]
-COc1ccc(OC)c(-c2cc(Br)ccc2O)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)cc1']; ['Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1Br', 'Oc1ccc(Br)cc1I']; [0.994756818, 0.994756818, 0.994756818]
-Oc1ccc(Br)cc1Cc1cccnc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc(Br)ccc2O)c1; ['Cc1cccc(C)c1']; ['Oc1ccc(Br)cc1I']; [0.946722746]
-Oc1ccc(Br)cc1N1CC=C(c2c[nH]c3ccccc23)CC1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Oc1ccc(Br)cc1Br']; [0.997171223]
-C[C@@]1(O)CC[C@H](c2cc(Br)ccc2O)CC1; [None]; [None]; [0]
-COc1cc(C=Cc2ccncc2)ccc1O; ['COc1cc(C=O)ccc1O']; ['Cc1ccncc1']; [0.939577281]
-CNC(=O)c1ccccc1-c1cccc(C(F)(F)F)c1; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999990702, 0.999990702]
-CCOc1ccccc1-c1cccc(C(F)(F)F)c1; ['CCOc1ccccc1Cl', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Cl)c1', 'C[N+](C)(C)c1cccc(C(F)(F)F)c1']; [0.99968493, 0.99968493, 0.99968493]
-Fc1cc(F)cc(Cc2cccc(C(F)(F)F)c2)c1; ['Fc1cc(F)cc(CCl)c1', 'FC(F)(F)c1cccc(CCl)c1', 'CC1(C)COB(c2cc(F)cc(F)c2)OC1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cc(F)cc(F)c1', 'FC(F)(F)c1cccc(CCl)c1']; [0.999901891, 0.999901891, 0.999901891]
-FC(F)(F)c1cccc(-c2ccnc3ccccc23)c1; ['Clc1ccnc2ccccc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.99893111]
-Oc1ccc(Br)cc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-O=C1Nc2ccc(Cl)cc2C1=Cc1ccncc1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cccc(C(F)(F)F)c2)c1; ['FC(F)(F)c1cccc([Mg]Br)c1', 'FC(F)(F)c1cccc(I)c1']; ['FC(F)(F)c1cccc([Mg]Br)c1', 'FC(F)(F)c1cccc(I)c1']; [0.953498065, 0.953498065]
-FC(F)(F)c1cccc(-c2cccnc2)c1; ['Brc1cccnc1', 'CCB(CC)c1cccnc1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.99985528, 0.99985528]
-FC(F)(F)c1cccc(-c2ccccc2Cl)c1; ['Clc1ccccc1I']; ['FC(F)(F)c1cccc(I)c1']; [0.999565542]
-FC(F)(F)c1cccc(-c2ccccc2Br)c1; ['Brc1ccccc1I', 'Brc1ccccc1Br', 'Brc1ccccc1Br', 'Brc1ccccc1I', 'FC(F)(F)c1cccc(Br)c1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'OB(O)c1ccccc1Br']; [0.99996829, 0.99996829, 0.99996829, 0.99996829, 0.99996829]
-O[C@H]1C[C@@H](c2cccc(C(F)(F)F)c2)C1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cc[nH]n2)c1; ['CC(=O)c1cccc(C(F)(F)F)c1']; ['COC(OC)N(C)C']; [0.999934673]
-NC(=O)c1ccccc1-c1cccc(C(F)(F)F)c1; []; []; []
-FC(F)(F)Oc1ccccc1-c1cccc(C(F)(F)F)c1; ['FC(F)(F)Oc1ccccc1I']; ['FC(F)(F)c1cccc(I)c1']; [0.998080134]
-Fc1cccc(F)c1-c1cccc(C(F)(F)F)c1; ['Fc1cccc(F)c1Br', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1ccccc1', 'FC(F)(F)c1cccc(Br)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1c(F)cccc1F', 'Fc1cccc(F)c1Br', 'Fc1cccc(F)c1']; [0.999875546, 0.999875546, 0.999875546, 0.999875546]
-Fc1ccccc1-c1cccc(C(F)(F)F)c1; ['FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1']; ['Fc1ccccc1I', 'Fc1ccccc1Br']; [0.999450147, 0.999450147]
-N#Cc1ccccc1-c1cccc(C(F)(F)F)c1; ['N#Cc1ccccc1Br', 'CC1(C)COB(c2ccccc2C#N)OC1', 'FC(F)(F)c1cccc(Br)c1', 'N#Cc1ccccc1Cl', 'FC(F)(F)c1cccc(Cl)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'N#Cc1ccccc1B(O)O', 'OB(O)c1cccc(C(F)(F)F)c1', 'N#Cc1ccccc1B(O)O']; [0.999937892, 0.999937892, 0.999937892, 0.999937892, 0.999937892]
-FC(F)(F)c1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; ['FC(F)(F)c1cccc(I)c1']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.88314563]
-OCCn1cc(-c2cccc(C(F)(F)F)c2)cn1; ['OB(O)c1cccc(C(F)(F)F)c1']; ['OCCn1cc(Br)cn1']; [0.999958515]
-FC(F)(F)c1cccc(-c2cnn(Cc3ccccc3)c2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1']; ['FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999999762, 0.999999762]
-Cc1ccc(-c2cccc(C(F)(F)F)c2)c(Br)c1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(I)c(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.99999094, 0.99999094, 0.99999094, 0.99999094]
-O=C(Nc1cccc(-c2cccc(C(F)(F)F)c2)c1)c1ccccc1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cnco2)c1; ['FC(F)(F)c1cccc(Br)c1']; ['c1cocn1']; [0.998444617]
-N[C@H](c1cccc(C(F)(F)F)c1)c1ccco1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ccc3c(c2)CCC3)c1; ['Ic1ccc2c(c1)CCC2', 'COc1cccc(C(F)(F)F)c1', 'COc1ccc2c(c1)CCC2']; ['OB(O)c1cccc(C(F)(F)F)c1', 'Ic1ccc2c(c1)CCC2', 'FC(F)(F)c1cccc(I)c1']; [0.999977946, 0.999977946, 0.999977946]
-Cc1nc(N)sc1-c1cccc(C(F)(F)F)c1; ['CC(=O)Cc1cccc(C(F)(F)F)c1']; ['NC(N)=S']; [0.999834299]
-Cc1nc(C)c(-c2cccc(C(F)(F)F)c2)s1; ['Cc1csc(C)n1']; ['FC(F)(F)c1cccc(Cl)c1']; [0.992483199]
-FC(F)(F)c1cccc(-c2cnc3ccccn23)c1; ['FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc(Cl)c1']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999997139, 0.999997139, 0.999997139]
-FC(F)(F)c1cccc(OC2CCCCC2)c1; ['OC1CCCCC1']; ['Oc1cccc(C(F)(F)F)c1']; [0.987487674]
-CC(C)(C)Nc1cccc(C(F)(F)F)c1; ['CC(C)(C)N']; ['FC(F)(F)c1cccc(I)c1']; [0.837097108]
-FC(F)(F)c1cccc(-c2c(Cl)cccc2Cl)c1; ['Clc1cccc(Cl)c1I']; ['FC(F)(F)c1cccc(I)c1']; [0.998698354]
-FC(F)(F)c1cccc(-c2cccc(Cl)c2Cl)c1; ['Clc1cccc(Cl)c1Cl']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.997447968]
-FC(F)(F)c1cccc(NCc2cccnc2)c1; ['ClCc1cccnc1']; ['Nc1cccc(C(F)(F)F)c1']; [0.992927969]
-Nc1nccc(-c2cccc(C(F)(F)F)c2)n1; ['Nc1ncccn1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.998869598]
-COc1cccc(-c2cccc(C(F)(F)F)c2)c1; ['COc1cccc(I)c1', 'COc1cccc(Br)c1']; ['FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.970756054, 0.970756054]
-FC(F)(F)c1cccc(-c2ccc(Cl)s2)c1; ['Clc1cccs1']; ['O=C(O)c1cccc(C(F)(F)F)c1']; [0.996183097]
-Cc1ccc(Cl)c(-c2cccc(C(F)(F)F)c2)c1; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Cl)c1']; [0.999590218, 0.999590218, 0.999590218, 0.999590218]
-FC(F)(F)c1cccc(Nc2cccnc2)c1; ['Nc1cccnc1', 'FC(F)(F)c1cccc(Cl)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'Nc1cccnc1']; [0.999641657, 0.999641657]
-FC(F)(F)c1cccc(-n2cnc3ccccc32)c1; ['OB(O)c1cccc(C(F)(F)F)c1', 'Fc1cccc(C(F)(F)F)c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.998358071, 0.998358071]
-Cc1ncc(-c2cccc(C(F)(F)F)c2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999091148]
-CC(C)COc1cccc(C(F)(F)F)c1; ['CC(C)CO', 'CC(C)CO']; ['Oc1cccc(C(F)(F)F)c1', 'Fc1cccc(C(F)(F)F)c1']; [0.996397853, 0.996397853]
-FC(F)(F)c1cccc(-c2ccc3ccccc3c2)c1; ['Brc1ccc2ccccc2c1']; ['FC(F)(F)c1cccc(Br)c1']; [0.994685411]
-FC(F)(F)c1cccc(-c2cncc3ccccc23)c1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'Brc1cncc2ccccc12']; ['FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1']; [0.999999166, 0.999999166, 0.999999166]
-C[C@H](CO)Nc1cccc(C(F)(F)F)c1; ['C[C@@H](N)CO']; ['FC(F)(F)c1cccc(I)c1']; [0.985033453]
-C[C@@H](O)[C@@H](C)Oc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-Cn1cncc1-c1cccc(C(F)(F)F)c1; ['Cn1cncc1Br', 'Cn1ccnc1', 'Cn1ccnc1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.999960065, 0.999960065, 0.999960065]
-O=C(Nc1cccc(C(F)(F)F)c1)c1cccs1; ['Nc1cccc(C(F)(F)F)c1', 'COC(=O)c1cccs1', 'FC(F)(F)c1cccc(Br)c1']; ['O=C(Cl)c1cccs1', 'Nc1cccc(C(F)(F)F)c1', 'NC(=O)c1cccs1']; [0.999937654, 0.999937654, 0.999937654]
-OCc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
-Oc1cccc(-c2cccc(C(F)(F)F)c2)c1; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'O=Cc1ccccc1C(F)(F)F']; ['Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1']; [0.999469817, 0.999469817, 0.999469817]
-FC(F)(F)c1cccc(-c2ccco2)c1; ['FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'Brc1ccco1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'Nc1cccc(C(F)(F)F)c1']; ['OB(O)c1ccco1', 'OB(O)c1ccco1', 'OB(O)c1cccc(C(F)(F)F)c1', 'c1ccoc1', 'c1ccoc1', 'c1ccoc1']; [0.999886394, 0.999886394, 0.999886394, 0.999886394, 0.999886394, 0.999886394]
-FC(F)(F)c1cccc(Nc2ccncc2)c1; ['Ic1ccncc1']; ['Nc1cccc(C(F)(F)F)c1']; [0.99735]
-FC(F)(F)c1cccc(-c2cccs2)c1; []; []; []
-CC(C)Nc1cccc(C(F)(F)F)c1; ['CC(C)Br', 'C=C(C)OC', 'CC(C)=O']; ['Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1']; [0.995428324, 0.995428324, 0.995428324]
-Cn1cc(-c2cccc(C(F)(F)F)c2)cn1; ['Cn1cc(I)cn1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999988794]
-Fc1ccc(-c2cccc(C(F)(F)F)c2)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc(Br)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1cccc(C(F)(F)F)c1']; [0.999979615, 0.999979615, 0.999979615, 0.999979615, 0.999979615]
-CCC(=O)Nc1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['CCC(=O)O', 'CCC(=O)OC(=O)CC']; ['Nc1ccc(-c2cccc(C(F)(F)F)c2)cc1', 'Nc1ccc(-c2cccc(C(F)(F)F)c2)cc1']; [0.999294519, 0.999294519]
-CCC(=O)Nc1cccc(C(F)(F)F)c1; ['CCOC(=O)CC', 'CCC(N)=O']; ['Nc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1']; [0.976318657, 0.976318657]
-N#CCCc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
-COc1ccc(-c2cccc(C(F)(F)F)c2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccccc1Cl']; ['FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Cl)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1']; [0.999928594, 0.999928594, 0.999928594, 0.999928594, 0.999928594]
-CC(=O)Nc1cccc(-c2cccc(C(F)(F)F)c2)c1; ['CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Cl)c1']; [0.997180104, 0.997180104]
-CCCn1cc(-c2cccc(C(F)(F)F)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Cl)c1']; [0.999999881, 0.999999881]
-FC(F)(F)c1cccc(-c2cnoc2)c1; ['Brc1cnoc1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999014378]
-CCOC(=O)Cc1cccc(C(F)(F)F)c1; []; []; []
-CC(C)(N)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.99999, 0.99999]
-CCN(CC)c1cccc(C(F)(F)F)c1; ['CCNCC']; ['FC(F)(F)c1cccc(I)c1']; [0.984354615]
-Cc1cc(-c2cccc(C(F)(F)F)c2)no1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cccc(C(F)(F)F)c3)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.99998939]
-COc1ccncc1Nc1cccc(C(F)(F)F)c1; ['COc1ccncc1I', 'COc1ccncc1N']; ['Nc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.99883157, 0.99883157]
-O=c1[nH]ccc2oc(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
-FC(F)(F)c1cccc(Nc2cnc3ccccc3c2)c1; ['Clc1cnc2ccccc2c1', 'FC(F)(F)c1cccc(I)c1']; ['Nc1cccc(C(F)(F)F)c1', 'Nc1cnc2ccccc2c1']; [0.998483837, 0.998483837]
-C[S@](=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1']; ['FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999968767, 0.999968767]
-FC(F)(F)c1cccc(-c2c[nH]c3ccccc23)c1; ['NNc1cccc(C(F)(F)F)c1']; ['c1ccc2[nH]ccc2c1']; [0.935570419]
-N#CCC(=O)N1CCC[C@@H](c2cccc(C(F)(F)F)c2)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2c[nH]c3cnccc23)c1; ['Brc1c[nH]c2cnccc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999791443]
-N#CC[C@@H]1CC[C@@H](c2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['FC(F)(F)c1cccc(I)c1', 'O=S(=O)(Oc1cccc(C(F)(F)F)c1)C(F)(F)F']; [0.999980092, 0.999980092]
-N#C[C@@H]1CC[C@@H](c2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1']; [0.999479, 0.999479, 0.999479]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['FC(F)(F)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(Cl)c1']; [0.999999046, 0.999999046, 0.999999046]
-FC(F)(F)c1cccc(-n2ncc3ccccc32)c1; ['OB(O)c1cccc(C(F)(F)F)c1', 'NNc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1']; ['c1ccc2[nH]ncc2c1', 'O=Cc1ccccc1Br', 'c1ccc2[nH]ncc2c1']; [0.999933, 0.999933, 0.999933]
-NC(=O)c1c(F)cccc1-c1cccc(C(F)(F)F)c1; []; []; []
-Oc1cccc2c1cnn2-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cccc(C(F)(F)F)c3)[nH]c2c1; ['Nc1ccc(O)cc1[N+](=O)[O-]']; ['O=Cc1cccc(C(F)(F)F)c1']; [0.907279253]
-Oc1ncccc1-c1cccc(C(F)(F)F)c1; ['OB(O)c1cccc(C(F)(F)F)c1']; ['Oc1ncccc1Br']; [0.999968767]
-FC(F)(F)c1cccc(Cc2ccncc2)c1; ['FC(F)(F)c1cccc(CBr)c1', 'BrCc1ccncc1', 'Brc1ccncc1', 'Clc1ccncc1', 'ClCc1ccncc1', 'FC(F)(F)c1cccc(C[Zn]Cl)c1']; ['OB(O)c1ccncc1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(C[Zn]Br)c1', 'FC(F)(F)c1cccc(CCl)c1', 'FC(F)(F)c1cccc(Cl)c1', 'N#Cc1ccncc1']; [0.999732435, 0.999732435, 0.999732435, 0.999732435, 0.999732435, 0.999732435]
-FC(F)(F)c1cccc(OC2CCOCC2)c1; ['ClC1CCOCC1', 'CS(=O)(=O)OC1CCOCC1', 'OC1CCOCC1', 'FC(F)(F)c1cccc(Cl)c1']; ['Oc1cccc(C(F)(F)F)c1', 'Oc1cccc(C(F)(F)F)c1', 'Oc1cccc(C(F)(F)F)c1', 'OC1CCOCC1']; [0.999953508, 0.999953508, 0.999953508, 0.999953508]
-O=C(c1ccccc1)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['FC(F)(F)c1cccc(Br)c1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Cl)c1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1cccc(C(F)(F)F)c1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.999992847, 0.999992847, 0.999992847, 0.999992847]
-COc1ccc(-c2cccc(C(F)(F)F)c2)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'O=S(=O)(Oc1cccc(C(F)(F)F)c1)C(F)(F)F', 'FC(F)(F)c1cccc(Br)c1']; [0.999900579, 0.999900579, 0.999900579]
-FC(F)(F)c1cccc(-n2ccnc2)c1; ['FC(F)(F)c1cccc(Br)c1']; ['c1c[nH]cn1']; [0.999893665]
-Nc1nnc(-c2cccc(C(F)(F)F)c2)s1; ['NNC(N)=S']; ['O=C(O)c1cccc(C(F)(F)F)c1']; [0.999945641]
-Nc1ncc(-c2cccc(C(F)(F)F)c2)s1; ['CC(=O)c1cccc(C(F)(F)F)c1']; ['NC(N)=S']; [0.973363936]
-FC(F)(F)c1cccc(-c2nc3ccccc3s2)c1; ['Nc1ccccc1S', 'Nc1ccccc1I']; ['O=C(O)c1cccc(C(F)(F)F)c1', 'O=Cc1cccc(C(F)(F)F)c1']; [0.999996781, 0.999996781]
-Cc1cncc(-c2cccc(C(F)(F)F)c2)n1; ['Cc1cncc(Cl)n1', 'Cc1cnccn1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.999823511, 0.999823511]
-COc1cccc(F)c1-c1cccc(C(F)(F)F)c1; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Cl)c1']; [0.999994516, 0.999994516, 0.999994516, 0.999994516, 0.999994516]
-Nc1nc(-c2cccc(C(F)(F)F)c2)nc2ccccc12; ['N#Cc1ccccc1N']; ['O=C(Cl)c1cccc(C(F)(F)F)c1']; [0.998698]
-FC(F)(F)c1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cccc3ccsc23)c1; ['Brc1cccc2ccsc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999845266]
-COc1ccc(C#N)cc1-c1cccc(C(F)(F)F)c1; ['COc1ccc(C#N)cc1Br']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999979377]
-FC(F)(F)c1cccc(Cc2cccnc2)c1; ['ClCc1cccnc1', 'Brc1cccnc1', 'Brc1cccnc1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(CCl)c1', 'FC(F)(F)c1cccc(CBr)c1']; [0.999763072, 0.999763072, 0.999763072]
-CC(C)(C)CNc1cccc(C(F)(F)F)c1; ['CC(C)(C)CN', 'CC(C)(C)CN']; ['FC(F)(F)c1cccc(Br)c1', 'Fc1cccc(C(F)(F)F)c1']; [0.969413698, 0.969413698]
-CC(C)(C)Oc1cccc(C(F)(F)F)c1; ['CC(C)(C)O', 'CC(C)(C)[O-]', 'CC(C)(C)OC(=N)C(Cl)(Cl)Cl']; ['Oc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'Oc1cccc(C(F)(F)F)c1']; [0.959222853, 0.959222853, 0.959222853]
-C[C@@]1(O)CC[C@H](c2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccc(C(F)(F)F)c2)c1; ['Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc(Cl)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['O=S(=O)(Oc1cccc(C(F)(F)F)c1)C(F)(F)F', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Cl)c1']; [0.999900103, 0.999900103, 0.999900103]
-FC(F)(F)c1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; ['Nc1ccccc1N']; ['O=C(O)C1CCN(c2cccc(C(F)(F)F)c2)CC1']; [0.999960423]
-COc1ccc(OC)c(-c2cccc(C(F)(F)F)c2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(B(O)O)c1']; ['FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Cl)c1']; [0.999988914, 0.999988914, 0.999988914, 0.999988914]
-C(=Cc1c[nH]c2ccccc12)c1ccccn1; ['Cc1ccccn1']; ['O=Cc1c[nH]c2ccccc12']; [0.985556066]
-FC(F)(F)c1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['FC(F)(F)c1cccc(Br)c1']; [0.999411702]
-CCOc1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1ccnc2ccccc12; ['Brc1ccnc2ccccc12']; ['OB(O)c1cc(Cl)ccc1O']; [0.996075451]
-Oc1ccc(Cl)cc1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1Cc1cc(F)cc(F)c1; ['OCc1cc(F)cc(F)c1', 'Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(CBr)c1']; ['Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1']; [0.982186, 0.982186, 0.982186]
-Oc1ccc(Cl)cc1-c1cccnc1; ['OB(O)c1cccnc1', 'Brc1cccnc1']; ['Oc1ccc(Cl)cc1I', 'OB(O)c1cc(Cl)ccc1O']; [0.998306751, 0.998306751]
-Oc1ccc(Cl)cc1-c1cccc(C(F)(F)F)c1; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1']; ['Oc1ccc(Cl)cc1I', 'OB(O)c1cc(Cl)ccc1O']; [0.999713719, 0.999713719]
-Oc1ccc(Cl)cc1-c1cc[nH]n1; []; []; []
-Oc1ccc(Cl)cc1-c1ccccc1Cl; ['Clc1ccccc1I', 'OB(O)c1ccccc1Cl']; ['OB(O)c1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1I']; [0.999194086, 0.999194086]
-Oc1ccc(Cl)cc1-c1ccccc1Br; ['OB(O)c1ccccc1Br', 'Brc1ccccc1I', 'Brc1ccccc1I']; ['Oc1ccc(Cl)cc1I', 'OB(O)c1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1']; [0.997983456, 0.997983456, 0.997983456]
-Oc1ccc(Cl)cc1-c1ccccc1OC(F)(F)F; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1Br']; [0.999802411, 0.999802411, 0.999802411, 0.999802411, 0.999802411]
-Oc1ccc(Cl)cc1-c1ccccc1F; ['CC1(C)OB(c2ccccc2F)OC1(C)C', 'OB(O)c1ccccc1F', 'Fc1ccccc1I', 'OB(O)c1ccccc1F', 'Fc1ccccc1Br', 'Fc1ccccc1[B-](F)(F)F']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1I', 'OB(O)c1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1I']; [0.999855042, 0.999855042, 0.999855042, 0.999855042, 0.999855042, 0.999855042]
-Oc1ccc(Cl)cc1-c1c(F)cccc1F; ['OB(O)c1c(F)cccc1F', 'Fc1cccc(F)c1I']; ['Oc1ccc(Cl)cc1I', 'OB(O)c1cc(Cl)ccc1O']; [0.997831285, 0.997831285]
-NC(=O)c1ccccc1-c1cc(Cl)ccc1O; ['NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br']; ['OB(O)c1cc(Cl)ccc1O', 'OB(O)c1cc(Cl)ccc1O']; [0.993594587, 0.993594587]
-N#Cc1ccccc1-c1cc(Cl)ccc1O; ['N#Cc1ccccc1I', 'N#Cc1ccccc1Br', 'N#Cc1ccccc1B(O)O', 'N#Cc1ccccc1Br']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1I', 'Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O']; [0.997282386, 0.997282386, 0.997282386, 0.997282386]
-Oc1ccc(Cl)cc1-c1cnn(Cc2ccccc2)c1; ['Brc1cnn(Cc2ccccc2)c1']; ['OB(O)c1cc(Cl)ccc1O']; [0.993519962]
-Oc1ccc(Cl)cc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1ccncn1; ['Clc1ccncn1']; ['OB(O)c1cc(Cl)ccc1O']; [0.993842244]
-Oc1ccc(Cl)cc1-c1ccc2c(c1)CCC2; ['Ic1ccc2c(c1)CCC2']; ['OB(O)c1cc(Cl)ccc1O']; [0.996849835]
-OCCn1cc(-c2cc(Cl)ccc2O)cn1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1cnc2ccccn12; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12']; ['OB(O)c1cc(Cl)ccc1O', 'OB(O)c1cc(Cl)ccc1O']; [0.99687, 0.99687]
-O=C(Nc1cccc(-c2cc(Cl)ccc2O)c1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2cc(Cl)ccc2O)c(Br)c1; ['Cc1ccc(I)c(Br)c1']; ['OB(O)c1cc(Cl)ccc1O']; [0.998546243]
-Oc1ccc(Cl)cc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12']; ['OB(O)c1cc(Cl)ccc1O']; [0.9997105]
-Oc1ccc(Cl)cc1-c1cnco1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc(Cl)ccc2O)s1; ['Cc1nc(C)c(Br)s1']; ['OB(O)c1cc(Cl)ccc1O']; [0.99873811]
-Oc1ccc(Cl)cc1-c1c(Cl)cccc1Cl; ['Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1']; ['OB(O)c1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1I', 'OB(O)c1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1I']; [0.999497414, 0.999497414, 0.999497414, 0.999497414, 0.999497414]
-Oc1ccc(Cl)cc1OC1CCCCC1; ['OC1CCCCC1', 'OC1CCCCC1']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1O']; [0.991235375, 0.991235375]
-Cc1ccc(Cl)c(-c2cc(Cl)ccc2O)c1; ['Cc1ccc(Cl)c(Br)c1']; ['Oc1ccc(Cl)cc1']; [0.964917421]
-Cc1nc(N)sc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1NCc1cccnc1; ['BrCc1cccnc1', 'Nc1cc(Cl)ccc1O']; ['Nc1cc(Cl)ccc1O', 'O=Cc1cccnc1']; [0.989672661, 0.989672661]
-Cc1ncc(-c2cc(Cl)ccc2O)[nH]1; ['Cc1ncc(I)[nH]1', 'Cc1ncc(Br)[nH]1']; ['OB(O)c1cc(Cl)ccc1O', 'OB(O)c1cc(Cl)ccc1O']; [0.99418062, 0.99418062]
-CC(C)(C)Nc1cc(Cl)ccc1O; ['CC(C)(C)N']; ['Oc1ccc(Cl)cc1Br']; [0.979061306]
-COc1cccc(-c2cc(Cl)ccc2O)c1; ['COc1cccc(B(O)O)c1', 'COc1cccc(I)c1']; ['Oc1ccc(Cl)cc1I', 'OB(O)c1cc(Cl)ccc1O']; [0.999598205, 0.999598205]
-Oc1ccc(Cl)cc1-c1ccc2ccccc2c1; ['Oc1ccc(Cl)cc1I']; ['c1ccc2ccccc2c1']; [0.819979966]
-Oc1ccc(Cl)cc1Nc1cccnc1; ['Nc1cccnc1']; ['OB(O)c1cc(Cl)ccc1O']; [0.9899261]
-Oc1ccc(Cl)cc1-c1cccc(Cl)c1Cl; ['Clc1ccccc1Cl', 'Clc1cccc(Br)c1Cl']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1']; [0.810943604, 0.810943604]
-C[C@H](CO)Nc1cc(Cl)ccc1O; ['C[C@@H](N)CO', 'C[C@@H](N)CO']; ['Oc1ccc(Cl)cc1I', 'Oc1ccc(Cl)cc1F']; [0.920614481, 0.920614481]
-Nc1nccc(-c2cc(Cl)ccc2O)n1; ['Nc1nccc(Cl)n1']; ['OB(O)c1cc(Cl)ccc1O']; [0.991887391]
-O=C(Nc1cc(Cl)ccc1O)c1cccs1; ['Nc1cc(Cl)ccc1O', 'Nc1cc(Cl)ccc1O']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.997407, 0.997407]
-CC(C)COc1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1ccc(Cl)s1; ['OB(O)c1ccc(Cl)s1', 'CC1(C)OB(c2ccc(Cl)s2)OC1(C)C', 'Clc1ccc(Br)s1']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1I', 'OB(O)c1cc(Cl)ccc1O']; [0.999921441, 0.999921441, 0.999921441]
-Oc1ccc(Cl)cc1-c1cncc2ccccc12; ['Br[Zn]c1cncc2ccccc12', 'Oc1ccc(Cl)cc1Br']; ['Oc1ccc(Cl)cc1I', 'c1ccc2cnccc2c1']; [0.997528493, 0.997528493]
-Oc1ccc(Cl)cc1-n1cnc2ccccc21; ['Oc1ccc(Cl)cc1Br']; ['c1ccc2[nH]cnc2c1']; [0.9989537]
-Oc1cccc(-c2cc(Cl)ccc2O)c1; ['OB(O)c1cccc(O)c1', 'OB(O)c1cc(Cl)ccc1O']; ['Oc1ccc(Cl)cc1I', 'Oc1cccc(I)c1']; [0.999378324, 0.999378324]
-Oc1ccc(Cl)cc1Nc1ccncc1; ['Brc1ccncc1']; ['Nc1cc(Cl)ccc1O']; [0.799454033]
-Cn1cncc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1ccco1; ['OB(O)c1ccco1']; ['Oc1ccc(Cl)cc1Br']; [0.998996675]
-C[C@@H](O)[C@@H](C)Oc1cc(Cl)ccc1O; [None]; [None]; [0]
-Cn1cc(-c2cc(Cl)ccc2O)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(I)cn1']; ['Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O']; [0.999985099, 0.999985099]
-OCc1cccc(-c2cc(Cl)ccc2O)c1; ['OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OB(O)c1cc(Cl)ccc1O', 'OB(O)c1cc(Cl)ccc1O']; ['Oc1ccc(Cl)cc1I', 'Oc1ccc(Cl)cc1Br', 'OCc1cccc(I)c1', 'OCc1cccc(Br)c1']; [0.982554615, 0.982554615, 0.982554615, 0.982554615]
-Oc1ccc(Cl)cc1-c1cccs1; ['CC1(C)OB(c2cccs2)OC1(C)C', 'OB(O)c1cccs1']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1Br']; [0.999952197, 0.999952197]
-CC(C)Nc1cc(Cl)ccc1O; []; []; []
-Oc1ccc(Cl)cc1-c1ccc(F)cc1C(F)(F)F; ['Fc1ccc(I)c(C(F)(F)F)c1']; ['Oc1ccc(Cl)cc1']; [0.872542441]
-N#CCCc1cccc(-c2cc(Cl)ccc2O)c1; ['N#CCCc1cccc(Br)c1']; ['OB(O)c1cc(Cl)ccc1O']; [0.944106579]
-CCC(=O)Nc1ccc(-c2cc(Cl)ccc2O)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(Cl)ccc2O)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O', 'OB(O)c1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1Cl']; [0.999938369, 0.999938369, 0.999938369, 0.999938369, 0.999938369]
-COc1ccc(-c2cc(Cl)ccc2O)cc1Cl; ['COc1ccccc1Cl']; ['Oc1ccc(Cl)cc1Br']; [0.945579708]
-CCC(=O)Nc1cc(Cl)ccc1O; ['CCC(=O)Cl']; ['Nc1cc(Cl)ccc1O']; [0.983647287]
-CCCn1cc(-c2cc(Cl)ccc2O)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(Br)cn1']; ['Oc1ccc(Cl)cc1I', 'OB(O)c1cc(Cl)ccc1O']; [0.999962568, 0.999962568]
-Cc1cc(-c2cc(Cl)ccc2O)no1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cc(Cl)ccc3O)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1cc(Cl)ccc1O']; [0.953530252]
-Oc1ccc(Cl)cc1-c1cnoc1; [None]; [None]; [0]
-CCOC(=O)Cc1cc(Cl)ccc1O; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc(Cl)ccc2O)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['OB(O)c1cc(Cl)ccc1O']; [0.976447761]
-C[S@](=O)c1ccc(-c2cc(Cl)ccc2O)cc1; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1']; ['Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O']; [0.987098277, 0.987098277]
-O=c1[nH]ccc2oc(-c3cc(Cl)ccc3O)cc12; [None]; [None]; [0]
-CCN(CC)c1cc(Cl)ccc1O; ['CCNCC']; ['Oc1ccc(Cl)cc1I']; [0.796152294]
-COc1ccncc1Nc1cc(Cl)ccc1O; ['COc1ccncc1I', 'COc1ccncc1N']; ['Nc1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1I']; [0.9979164, 0.9979164]
-Oc1ccc(Cl)cc1Nc1cnc2ccccc2c1; ['Nc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1']; ['OB(O)c1cc(Cl)ccc1O', 'Nc1cc(Cl)ccc1O']; [0.99028194, 0.99028194]
-Oc1ccc(Cl)cc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cc(Cl)ccc1O; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cc(Cl)ccc2O)C1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1c[nH]c2cnccc12; ['Brc1c[nH]c2cnccc12']; ['OB(O)c1cc(Cl)ccc1O']; [0.998908639]
-N#CC[C@@H]1CC[C@@H](c2cc(Cl)ccc2O)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc(Cl)ccc2O)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1cc(Cl)ccc1O']; [0.947191775]
-N#C[C@H]1CCOC[C@@H]1c1cc(Cl)ccc1O; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cc(Cl)ccc2O)CC1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-n1ncc2ccccc21; ['Oc1ccc(Cl)cc1I']; ['c1ccc2[nH]ncc2c1']; [0.960115194]
-CS(=O)(=O)c1ccc(-c2cc(Cl)ccc2O)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Oc1ccc(Cl)cc1I', 'Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O']; [0.998221219, 0.998221219, 0.998221219]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(Cl)ccc2O)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O']; [0.997413099, 0.997413099]
-Oc1ccc(Cl)cc1-n1ncc2c(O)cccc21; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc(Cl)ccc1O; ['NC(=O)c1c(F)cccc1Br']; ['OB(O)c1cc(Cl)ccc1O']; [0.991240084]
-Oc1ccc(Cl)cc1Cc1ccncc1; ['OCc1ccncc1']; ['Oc1ccc(Cl)cc1']; [0.928961396]
-Oc1ccc2nc(-c3cc(Cl)ccc3O)[nH]c2c1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1cccnc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1OC1CCOCC1; ['OC1CCOCC1', 'BrC1CCOCC1']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1O']; [0.998795152, 0.998795152]
-O=C(c1ccccc1)c1ccc(-c2cc(Cl)ccc2O)cc1; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1']; ['Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1']; [0.999804795, 0.999804795, 0.999804795]
-COc1ccc(-c2cc(Cl)ccc2O)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1']; ['Oc1ccc(Cl)cc1I', 'OB(O)c1cc(Cl)ccc1O']; [0.99994874, 0.99994874]
-Nc1nnc(-c2cc(Cl)ccc2O)s1; ['N#Cc1cc(Cl)ccc1O']; ['NNC(N)=S']; [0.999260724]
-Nc1ncc(-c2cc(Cl)ccc2O)s1; ['Nc1ncc(Br)s1']; ['OB(O)c1cc(Cl)ccc1O']; [0.981307268]
-COc1cccc(F)c1-c1cc(Cl)ccc1O; ['COc1cccc(F)c1', 'COc1cccc(F)c1Br']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1']; [0.938559353, 0.938559353]
-Oc1ccc(Cl)cc1-c1nc2ccccc2s1; ['Nc1ccccc1S']; ['O=C(O)c1cc(Cl)ccc1O']; [0.999381185]
-Oc1ccc(Cl)cc1-n1ccnc1; ['Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.995728076, 0.995728076]
-Cc1cncc(-c2cc(Cl)ccc2O)n1; ['Cc1cncc(Br)n1']; ['OB(O)c1cc(Cl)ccc1O']; [0.999816954]
-Oc1ccc(Cl)cc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-Nc1nc(-c2cc(Cl)ccc2O)nc2ccccc12; [None]; [None]; [0]
-CC(C)(C)Oc1cc(Cl)ccc1O; ['CC(C)(C)[O-]']; ['Oc1ccc(Cl)cc1Br']; [0.762954]
-Oc1ccc(Cl)cc1-c1cccc2ccsc12; ['Brc1cccc2ccsc12']; ['OB(O)c1cc(Cl)ccc1O']; [0.990642]
-Oc1ccc(Cl)cc1Cc1cccnc1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc(Cl)ccc1O; ['COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1']; ['OB(O)c1cc(Cl)ccc1O', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1Br']; [0.999445379, 0.999445379, 0.999445379]
-COc1ccc(OC)c(-c2cc(Cl)ccc2O)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Oc1ccc(Cl)cc1I']; [0.999598563]
-CC(C)(C)CNc1cc(Cl)ccc1O; ['CC(C)(C)CN', 'CC(C)(C)C=O', 'CC(C)(C)CBr']; ['Oc1ccc(Cl)cc1I', 'Nc1cc(Cl)ccc1O', 'Nc1cc(Cl)ccc1O']; [0.933840275, 0.933840275, 0.933840275]
-Cc1cc(C)cc(-c2cc(Cl)ccc2O)c1; ['Cc1cccc(C)c1', 'Cc1cccc(C)c1']; ['Oc1ccc(Cl)cc1I', 'Oc1ccc(Cl)cc1Br']; [0.930664122, 0.930664122]
-Oc1ccc(Cl)cc1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cc(Cl)ccc2O)CC1; [None]; [None]; [0]
-Oc1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc3cccc(O)c3n2)cn1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3cccc4ncccc34)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(-c3cn[nH]c3)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(-c3ccncc3)nc12; [None]; [None]; [0]
-Oc1cc(-c2ccc3cccc(O)c3n2)ccc1Cl; [None]; [None]; [0]
-CCc1ccc(-c2ccc3cccc(O)c3n2)cc1; ['CCc1ccc(Br)cc1']; ['Oc1cccc2cccnc12']; [0.969494879]
-Oc1cccc2ccc(-c3c(F)cccc3F)nc12; ['Fc1cccc(F)c1Br']; ['Oc1cccc2cccnc12']; [0.836340964]
-CNS(=O)(=O)c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3n[nH]c4ccccc34)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(Oc3ccc(F)cc3)nc12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3c(Cl)cccc3Cl)nc12; [None]; [None]; [0]
-Cc1ncc(-c2ccc3cccc(O)c3n2)[nH]1; [None]; [None]; [0]
-Oc1ccc(-c2ccc3cccc(O)c3n2)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2ccc3cccc(O)c3n2)n1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3ccccc3Cl)nc12; [None]; [None]; [0]
-Oc1cccc2ccc([C@@H]3C[C@H](O)C3)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(-c3cc[nH]c3)nc12; [None]; [None]; [0]
-N#Cc1cnc(-c2ccc3cccc(O)c3n2)cn1; [None]; [None]; [0]
-COc1cc(-c2ccc3cccc(O)c3n2)ccc1O; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc3cccc(O)c3n2)o1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3cnccn3)nc12; [None]; [None]; [0]
-COc1cc(CCc2ccc3cccc(O)c3n2)ccc1O; ['COc1cc(CO)ccc1O']; ['Cc1ccc2cccc(O)c2n1']; [0.894392371]
-Oc1cccc2ccc(-c3ccoc3)nc12; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3cccc(O)c3n2)cn1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3cccc(Br)c3)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(COc3cccc(Cl)c3)nc12; [None]; [None]; [0]
-OCCCc1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Oc1ccc(-c2ccc3cccc(O)c3n2)c(O)c1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3cccs3)nc12; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
-Oc1cccc2ccc(COc3ccccc3Cl)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(-c3ccncn3)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(-c3ccc(F)c(Cl)c3)nc12; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3cccc(O)c3n2)cc1C; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Oc1ncc(-c2ccc3cccc(O)c3n2)cc1Cl; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc3cccc(O)c3n2)c1; ['COc1cc(Br)cc(OC)c1']; ['Oc1cccc2cccnc12']; [0.90643388]
-COc1ccc(-c2ccc3cccc(O)c3n2)cc1OC; [None]; [None]; [0]
-O=c1ccccn1Cc1ccc2cccc(O)c2n1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4cccc(O)c4n3)cc2[nH]1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3nc4ccccc4s3)nc12; ['Nc1ccccc1S']; ['O=Cc1ccc2cccc(O)c2n1']; [0.99831748]
-O=C1Cc2cc(-c3ccc4cccc(O)c4n3)ccc2N1; [None]; [None]; [0]
-Oc1cncc(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ccc3cccc(O)c3n2)CC1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Oc1cccc2ccc(-n3ccnc3)nc12; [None]; [None]; [0]
-CCc1sccc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2ccc3cccc(O)c3n2)cc1Cl; [None]; [None]; [0]
-Oc1cccc2ccc(-c3nccs3)nc12; [None]; [None]; [0]
-Nc1cc(-c2ccc3cccc(O)c3n2)[nH]n1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3ccc4c(c3)CCN4)nc12; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3ccc4cccc(O)c4n3)cc2[nH]1; [None]; [None]; [0]
-Oc1cccc2ccc(Nc3ccncc3)nc12; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3ccc(Br)cc3F)nc12; [None]; [None]; [0]
-Cc1csc(-c2ccc3cccc(O)c3n2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3cccc(O)c3n2)nc1C; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3cccc(O)c3n2)c(C)n1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3cnco3)nc12; [None]; [None]; [0]
-Oc1c(F)cc(-c2ccc3cccc(O)c3n2)cc1F; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3ccc4cccc(O)c4n3)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4cccc(O)c4n3)cc2o1; [None]; [None]; [0]
-CSc1cccc(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
-Oc1cccc2ccc(OCc3ccccc3)nc12; ['BrCc1ccccc1']; ['O=c1ccc2cccc(O)c2[nH]1']; [0.961359441]
-Oc1cccc2ccc(Oc3ccc(F)cc3F)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(-c3ccc(F)cc3Cl)nc12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc(OC(F)(F)F)c1; ['CNC(=O)c1ccccc1']; ['FC(F)(F)Oc1cccc(Cl)c1']; [0.987927139]
-Oc1cccc2ccc(Cc3ccc(F)cc3)nc12; [None]; [None]; [0]
-CCOc1ccccc1-c1cccc(OC(F)(F)F)c1; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1Cl', 'CCOc1ccccc1B(O)O']; ['FC(F)(F)Oc1cccc(I)c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Cl)c1']; [0.999997735, 0.999997735, 0.999997735]
-Oc1cccc2ccc(Oc3ccccc3F)nc12; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cccc(OC(F)(F)F)c2)c1; ['Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(CBr)c1', 'FC(F)(F)Oc1cccc(CBr)c1', 'FC(F)(F)Oc1cccc(C[Zn]Br)c1', 'FC(F)(F)Oc1cccc(Br)c1', 'Fc1cccc(F)c1', 'FC(F)(F)Oc1ccccc1', 'Fc1cccc(F)c1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccccc1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1cc(F)cc(F)c1', 'Fc1cc(F)cc(Br)c1', 'Fc1cc(F)cc(C[Zn]Br)c1', 'O=Cc1cccc(OC(F)(F)F)c1', 'Fc1cc(F)cc(CCl)c1', 'OCc1cccc(OC(F)(F)F)c1', 'O=Cc1cc(F)cc(F)c1', 'OCc1cc(F)cc(F)c1']; [0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997]
-FC(F)(F)Oc1cccc(-c2ccnc3ccccc23)c1; ['Clc1ccnc2ccccc12', 'Clc1ccnc2ccccc12']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Br)c1']; [0.999956489, 0.999956489]
-FC(F)(F)Oc1cccc(-c2cccc(C(F)(F)F)c2)c1; ['FC(F)(F)Oc1cccc(Br)c1']; ['FC(F)(F)c1cccc(Br)c1']; [0.999336183]
-Oc1cccc2ccc(NCc3c(F)cccc3Cl)nc12; ['Nc1ccc2cccc(O)c2n1']; ['O=Cc1c(F)cccc1Cl']; [0.999711454]
-FC(F)(F)Oc1cccc(-c2cccnc2)c1; ['CC1(C)OB(c2cccnc2)OC1(C)C', 'FC(F)(F)Oc1cccc(I)c1']; ['FC(F)(F)Oc1cccc(Br)c1', 'OB(O)c1cccnc1']; [0.999992847, 0.999992847]
-FC(F)(F)Oc1cccc(-c2ccccc2Cl)c1; ['Clc1ccccc1I']; ['FC(F)(F)Oc1cccc(I)c1']; [0.999905348]
-FC(F)(F)Oc1cccc(-c2ccccc2Br)c1; ['Brc1ccccc1Br']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.96133244]
-O[C@H]1C[C@@H](c2cccc(OC(F)(F)F)c2)C1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2cc[nH]n2)c1; []; []; []
-FC(F)(F)Oc1cccc(-c2ccccc2OC(F)(F)F)c1; ['FC(F)(F)Oc1cccc(Br)c1']; ['FC(F)(F)Oc1ccccc1Br']; [0.995817482]
-Fc1ccccc1-c1cccc(OC(F)(F)F)c1; ['FC(F)(F)Oc1cccc(Br)c1']; ['Fc1ccccc1Br']; [0.999898076]
-N#Cc1ccccc1-c1cccc(OC(F)(F)F)c1; ['N#Cc1ccccc1Br', 'FC(F)(F)Oc1cccc(Cl)c1', 'FC(F)(F)Oc1cccc(Br)c1', 'N#Cc1ccccc1Cl']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'N#Cc1ccccc1B(O)O', 'N#Cc1ccccc1B(O)O', 'OB(O)c1cccc(OC(F)(F)F)c1']; [0.999995708, 0.999995708, 0.999995708, 0.999995708]
-NC(=O)c1ccccc1-c1cccc(OC(F)(F)F)c1; ['FC(F)(F)Oc1cccc(I)c1']; ['NC(=O)c1ccccc1']; [0.789458394]
-Fc1cccc(F)c1-c1cccc(OC(F)(F)F)c1; ['CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2F)OC1(C)C', 'FC(F)(F)Oc1cccc(Br)c1', 'FC(F)(F)Oc1ccccc1']; ['Fc1cccc(F)c1Br', 'FC(F)(F)Oc1cccc(Br)c1', 'Fc1cccc(F)c1', 'Fc1cccc(F)c1Br']; [1.0, 1.0, 1.0, 1.0]
-FC(F)(F)Oc1cccc(-c2cnn(Cc3ccccc3)c2)c1; ['Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Cl)c1']; [0.999999881, 0.999999881]
-FC(F)(F)Oc1cccc(-c2ccncn2)c1; ['CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C', 'Clc1ccncn1']; ['Clc1ccncn1', 'OB(O)c1cccc(OC(F)(F)F)c1']; [0.999999762, 0.999999762]
-FC(F)(F)Oc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; ['FC(F)(F)Oc1cccc(I)c1']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.988231]
-OCCn1cc(-c2cccc(OC(F)(F)F)c2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['FC(F)(F)Oc1cccc(Br)c1']; [1.0]
-Cc1ccc(-c2cccc(OC(F)(F)F)c2)c(Br)c1; ['Cc1ccc(Br)c(Br)c1', 'Cc1ccc(Br)c(Br)c1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Br)c1']; [0.999691725, 0.999691725]
-O=C(Nc1cccc(-c2cccc(OC(F)(F)F)c2)c1)c1ccccc1; ['CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C']; ['O=C(Nc1ccccc1)c1ccccc1']; [0.999975681]
-N[C@H](c1cccc(OC(F)(F)F)c1)c1ccco1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2cnco2)c1; ['FC(F)(F)Oc1cccc(Br)c1']; ['c1cocn1']; [0.999944448]
-FC(F)(F)Oc1cccc(-c2ccc3c(c2)CCC3)c1; ['FC(F)(F)Oc1cccc(I)c1']; ['Ic1ccc2c(c1)CCC2']; [0.999961615]
-Cc1nc(C)c(-c2cccc(OC(F)(F)F)c2)s1; ['Cc1csc(C)n1', 'Cc1csc(C)n1']; ['FC(F)(F)Oc1cccc(Br)c1', 'FC(F)(F)Oc1cccc(I)c1']; [0.999743879, 0.999743879]
-FC(F)(F)Oc1cccc(-c2cnc3ccccn23)c1; ['OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Cl)c1', 'FC(F)(F)Oc1cccc(Cl)c1']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999998927, 0.999998927, 0.999998927]
-FC(F)(F)Oc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'FC(F)(F)Oc1cccc(Br)c1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'c1cnn2ccnc2c1']; [0.999999762, 0.999999762]
-FC(F)(F)Oc1cccc(OC2CCCCC2)c1; ['OC1CCCCC1']; ['Oc1cccc(OC(F)(F)F)c1']; [0.996851861]
-Cc1nc(N)sc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2c(Cl)cccc2Cl)c1; ['Clc1cccc(Cl)c1Br', 'FC(F)(F)Oc1cccc(Br)c1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1c(Cl)cccc1Cl']; [0.999997497, 0.999997497]
-CC(C)(C)Nc1cccc(OC(F)(F)F)c1; ['C=C(C)C']; ['Nc1cccc(OC(F)(F)F)c1']; [0.988620937]
-FC(F)(F)Oc1cccc(NCc2cccnc2)c1; ['FC(F)(F)Oc1cccc(Br)c1']; ['NCc1cccnc1']; [0.999389768]
-Cc1ccc(Cl)c(-c2cccc(OC(F)(F)F)c2)c1; ['Cc1ccc(Cl)c(Br)c1']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.999882221]
-FC(F)(F)Oc1cccc(-c2cccc(Cl)c2Cl)c1; ['Clc1cccc(I)c1Cl']; ['FC(F)(F)Oc1cccc(I)c1']; [0.999832511]
-COc1cccc(-c2cccc(OC(F)(F)F)c2)c1; ['COc1cccc(B(O)O)c1', 'COc1cccc(Br)c1', 'COc1cccc(I)c1']; ['FC(F)(F)Oc1cccc(Br)c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(I)c1']; [0.999591291, 0.999591291, 0.999591291]
-Nc1nccc(-c2cccc(OC(F)(F)F)c2)n1; ['CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C', 'Nc1nccc(Cl)n1']; ['Nc1nccc(Cl)n1', 'OB(O)c1cccc(OC(F)(F)F)c1']; [0.999999762, 0.999999762]
-FC(F)(F)Oc1cccc(Nc2cccnc2)c1; ['Nc1cccnc1']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.999854565]
-FC(F)(F)Oc1cccc(-c2ccc(Cl)s2)c1; ['Clc1cccs1']; ['O=C(O)c1cccc(OC(F)(F)F)c1']; [0.999762356]
-FC(F)(F)Oc1cccc(-n2cnc3ccccc32)c1; ['FC(F)(F)Oc1cccc(Br)c1', 'Fc1cccc(OC(F)(F)F)c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.999885917, 0.999885917]
-Cc1ncc(-c2cccc(OC(F)(F)F)c2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.999985933]
-CC(C)COc1cccc(OC(F)(F)F)c1; ['CC(C)CO', 'CC(C)CCl']; ['Oc1cccc(OC(F)(F)F)c1', 'Oc1cccc(OC(F)(F)F)c1']; [0.998635709, 0.998635709]
-C[C@@H](O)[C@@H](C)Oc1cccc(OC(F)(F)F)c1; ['C[C@@H](O)[C@@H](C)O']; ['Fc1cccc(OC(F)(F)F)c1']; [0.809380949]
-FC(F)(F)Oc1cccc(-c2ccc3ccccc3c2)c1; ['FC(F)(F)Oc1cccc(Cl)c1', 'O=S(=O)(Oc1ccc2ccccc2c1)C(F)(F)F', 'Clc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1cccc(OC(F)(F)F)c1']; [0.999992371, 0.999992371, 0.999992371]
-C[C@H](CO)Nc1cccc(OC(F)(F)F)c1; ['C[C@@H](N)CO']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.999934435]
-FC(F)(F)Oc1cccc(-c2cncc3ccccc23)c1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12']; ['FC(F)(F)Oc1cccc(Br)c1', 'FC(F)(F)Oc1cccc(I)c1']; [0.999999881, 0.999999881]
-OCc1cccc(-c2cccc(OC(F)(F)F)c2)c1; ['OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(I)c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Br)c1', 'FC(F)(F)Oc1cccc(Cl)c1', 'OB(O)c1cccc(OC(F)(F)F)c1']; ['OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Cl)c1']; [0.999971867, 0.999971867, 0.999971867, 0.999971867, 0.999971867, 0.999971867]
-O=C(Nc1cccc(OC(F)(F)F)c1)c1cccs1; ['COC(=O)c1cccs1']; ['Nc1cccc(OC(F)(F)F)c1']; [0.999803483]
-FC(F)(F)Oc1cccc(-c2cccs2)c1; []; []; []
-Cn1cncc1-c1cccc(OC(F)(F)F)c1; ['Cn1ccnc1']; ['FC(F)(F)Oc1cccc(Cl)c1']; [0.920153797]
-Oc1cccc(-c2cccc(OC(F)(F)F)c2)c1; ['FC(F)(F)Oc1ccccc1']; ['Oc1cccc(I)c1']; [0.877554]
-FC(F)(F)Oc1cccc(Nc2ccncc2)c1; ['Nc1ccncc1', 'FC(F)(F)Oc1cccc(Br)c1', 'Nc1cccc(OC(F)(F)F)c1', 'Brc1ccncc1', 'FC(F)(F)Oc1cccc(Cl)c1', 'Clc1ccncc1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'Nc1ccncc1', 'OB(O)c1ccncc1', 'Nc1cccc(OC(F)(F)F)c1', 'Nc1ccncc1', 'Nc1cccc(OC(F)(F)F)c1']; [0.999959946, 0.999959946, 0.999959946, 0.999959946, 0.999959946, 0.999959946]
-CC(C)Nc1cccc(OC(F)(F)F)c1; ['CC(C)N']; ['CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C']; [0.999951124]
-FC(F)(F)Oc1cccc(-c2ccco2)c1; ['FC(F)(F)Oc1cccc(I)c1', 'FC(F)(F)Oc1cccc(Cl)c1']; ['OB(O)c1ccco1', 'c1ccoc1']; [0.999975204, 0.999975204]
-Cn1cc(-c2cccc(OC(F)(F)F)c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(I)cn1', 'Cn1cc(Br)cn1', 'Cn1cc(B(O)O)cn1', 'Cn1cc(B(O)O)cn1']; ['FC(F)(F)Oc1cccc(I)c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(I)c1', 'FC(F)(F)Oc1cccc(Br)c1']; [1.0, 1.0, 1.0, 1.0, 1.0]
-Fc1ccc(-c2cccc(OC(F)(F)F)c2)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Br)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Cl)c1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999998808, 0.999998808, 0.999998808, 0.999998808]
-CCC(=O)Nc1ccc(-c2cccc(OC(F)(F)F)c2)cc1; ['CCC(=O)Nc1ccccc1']; ['FC(F)(F)Oc1cccc(I)c1']; [0.843292534]
-COc1ccc(-c2cccc(OC(F)(F)F)c2)cc1Cl; ['COc1ccc(I)cc1Cl']; ['FC(F)(F)Oc1cccc(I)c1']; [0.999808133]
-N#CCCc1cccc(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
-CCC(=O)Nc1cccc(OC(F)(F)F)c1; ['CCC(=O)OC(=O)CC', 'CCCO']; ['Nc1cccc(OC(F)(F)F)c1', 'Nc1cccc(OC(F)(F)F)c1']; [0.99730587, 0.99730587]
-CC(=O)Nc1cccc(-c2cccc(OC(F)(F)F)c2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1ccccc1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Br)c1', 'FC(F)(F)Oc1ccccc1', 'OB(O)c1cccc(OC(F)(F)F)c1']; [0.999912, 0.999912, 0.999912, 0.999912]
-FC(F)(F)Oc1cccc(-c2cnoc2)c1; ['Brc1cnoc1']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.999910593]
-CCCn1cc(-c2cccc(OC(F)(F)F)c2)cn1; ['CCCn1cc(Br)cn1']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.999998808]
-CCOC(=O)Cc1cccc(OC(F)(F)F)c1; ['CCO']; ['O=C(O)Cc1cccc(OC(F)(F)F)c1']; [0.99878329]
-CC(C)(N)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.999284685]
-CCN(CC)c1cccc(OC(F)(F)F)c1; ['CCOP(=O)(OCC)OCC']; ['Nc1cccc(OC(F)(F)F)c1']; [0.996468663]
-Cc1cc(-c2cccc(OC(F)(F)F)c2)no1; ['C#CC']; ['ON=Cc1cccc(OC(F)(F)F)c1']; [0.999253]
-O=C1CCc2cccc(-c3cccc(OC(F)(F)F)c3)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.999990344]
-COc1ccncc1Nc1cccc(OC(F)(F)F)c1; ['COc1ccncc1Cl', 'COc1ccncc1N']; ['Nc1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Br)c1']; [0.999998569, 0.999998569]
-C[S@](=O)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['FC(F)(F)Oc1cccc(I)c1']; [0.999993086]
-O=c1[nH]ccc2oc(-c3cccc(OC(F)(F)F)c3)cc12; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2c[nH]c3ccccc23)c1; ['FC(F)(F)Oc1cccc(Br)c1']; ['c1ccc2[nH]ccc2c1']; [0.998112082]
-FC(F)(F)Oc1cccc(Nc2cnc3ccccc3c2)c1; ['Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1']; ['Nc1cccc(OC(F)(F)F)c1', 'Nc1cccc(OC(F)(F)F)c1']; [0.999872804, 0.999872804]
-OC[C@H](Cc1ccccc1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2c[nH]c3cnccc23)c1; ['Brc1c[nH]c2cnccc12']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.99984]
-N#CCC(=O)N1CCC[C@@H](c2cccc(OC(F)(F)F)c2)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cccc(OC(F)(F)F)c2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.996408045]
-N#C[C@@H]1CC[C@@H](c2cccc(OC(F)(F)F)c2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['FC(F)(F)Oc1cccc(Br)c1', 'CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C', 'FC(F)(F)Oc1cccc(I)c1']; [0.999999881, 0.999999881, 0.999999881]
-CS(=O)(=O)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(C(=O)O)cc1']; ['FC(F)(F)Oc1cccc(Br)c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'FC(F)(F)Oc1cccc(I)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Cl)c1']; [1.0, 1.0, 1.0, 1.0, 1.0]
-FC(F)(F)Oc1cccc(-n2ncc3ccccc32)c1; ['NNc1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Br)c1']; ['O=Cc1ccccc1Br', 'c1ccc2[nH]ncc2c1']; [0.999996424, 0.999996424]
-NC(=O)c1c(F)cccc1-c1cccc(OC(F)(F)F)c1; ['NC(=O)c1c(F)cccc1Br', 'FC(F)(F)Oc1cccc(I)c1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1ccccc1F']; [0.99999845, 0.99999845]
-Oc1ccc2nc(-c3cccc(OC(F)(F)F)c3)[nH]c2c1; ['Nc1ccc(O)cc1[N+](=O)[O-]']; ['O=Cc1cccc(OC(F)(F)F)c1']; [0.99440974]
-Oc1ncccc1-c1cccc(OC(F)(F)F)c1; ['OB(O)c1cccc(OC(F)(F)F)c1']; ['Oc1ncccc1Br']; [0.999999642]
-O=C(c1ccccc1)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; ['FC(F)(F)Oc1cccc(Br)c1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'FC(F)(F)Oc1cccc(Cl)c1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999999404, 0.999999404, 0.999999404, 0.999999404]
-COc1ccc(-c2cccc(OC(F)(F)F)c2)c(OC)c1; ['COc1ccc(I)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(I)c1', 'FC(F)(F)Oc1cccc(I)c1', 'FC(F)(F)Oc1cccc(Br)c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'Nc1cccc(OC(F)(F)F)c1']; [0.99996531, 0.99996531, 0.99996531, 0.99996531, 0.99996531, 0.99996531]
-Oc1cccc2c1cnn2-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-n2ccnc2)c1; ['FC(F)(F)Oc1cccc(I)c1', 'Fc1cccc(OC(F)(F)F)c1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.999666095, 0.999666095]
-Nc1ncc(-c2cccc(OC(F)(F)F)c2)s1; ['CC(=O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Br)c1']; ['NC(N)=S', 'Nc1nccs1']; [0.999336541, 0.999336541]
-FC(F)(F)Oc1cccc(Cc2ccncc2)c1; ['BrCc1ccncc1', 'FC(F)(F)Oc1cccc(CBr)c1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1ccncc1']; [0.999792516, 0.999792516]
-COc1cccc(F)c1-c1cccc(OC(F)(F)F)c1; ['COc1cccc(F)c1Br']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.999995112]
-Cc1cncc(-c2cccc(OC(F)(F)F)c2)n1; ['Cc1cncc(Br)n1', 'Cc1cncc(Cl)n1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1cccc(OC(F)(F)F)c1']; [0.999999762, 0.999999762]
-FC(F)(F)Oc1cccc(-c2cccc3ccsc23)c1; ['FC(F)(F)Oc1cccc(Br)c1', 'FC(F)(F)Oc1cccc(I)c1']; ['c1ccc2sccc2c1', 'c1ccc2sccc2c1']; [0.953069, 0.953069]
-FC(F)(F)Oc1cccc(OC2CCOCC2)c1; ['BrC1CCOCC1', 'OC1CCOCC1']; ['Oc1cccc(OC(F)(F)F)c1', 'Oc1cccc(OC(F)(F)F)c1']; [0.999695897, 0.999695897]
-Nc1nc(-c2cccc(OC(F)(F)F)c2)nc2ccccc12; ['N#Cc1ccccc1Br', 'N#Cc1ccccc1N']; ['O=Cc1cccc(OC(F)(F)F)c1', 'O=C(Cl)c1cccc(OC(F)(F)F)c1']; [0.999993801, 0.999993801]
-COc1ccc(C#N)cc1-c1cccc(OC(F)(F)F)c1; ['COc1ccc(C#N)cc1Br']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.999935389]
-Nc1nnc(-c2cccc(OC(F)(F)F)c2)s1; ['NNC(N)=S']; ['O=C(O)c1cccc(OC(F)(F)F)c1']; [0.999985456]
-FC(F)(F)Oc1cccc(Cc2cccnc2)c1; ['FC(F)(F)Oc1cccc(CBr)c1', 'Brc1cccnc1']; ['OB(O)c1cccnc1', 'FC(F)(F)Oc1cccc(CBr)c1']; [0.999580801, 0.999580801]
-FC(F)(F)Oc1cccc(-c2nc3ccccc3s2)c1; ['Nc1ccccc1S', 'FC(F)(F)Oc1cccc(I)c1', 'O=Cc1cccc(OC(F)(F)F)c1']; ['O=Cc1cccc(OC(F)(F)F)c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.999980569, 0.999980569, 0.999980569]
-CC(C)(C)CNc1cccc(OC(F)(F)F)c1; ['CC(C)(C)CN', 'CC(C)(C)CBr', 'CC(C)(C)CO']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'Nc1cccc(OC(F)(F)F)c1', 'Nc1cccc(OC(F)(F)F)c1']; [0.999723256, 0.999723256, 0.999723256]
-FC(F)(F)Oc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
-CC(C)(C)Oc1cccc(OC(F)(F)F)c1; ['C=C(C)C', 'CC(C)(C)Br', 'CC(C)(C)OC(=N)C(Cl)(Cl)Cl']; ['Oc1cccc(OC(F)(F)F)c1', 'Oc1cccc(OC(F)(F)F)c1', 'Oc1cccc(OC(F)(F)F)c1']; [0.987420857, 0.987420857, 0.987420857]
-C[C@@]1(O)CC[C@H](c2cccc(OC(F)(F)F)c2)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccc(OC(F)(F)F)c2)c1; ['Cc1cc(C)cc(Br)c1']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.999155879]
-COc1ccc(OC)c(-c2cccc(OC(F)(F)F)c2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['FC(F)(F)Oc1cccc(I)c1']; [0.999998808]
-FC(F)(F)Oc1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['FC(F)(F)Oc1cccc(Br)c1', 'FC(F)(F)Oc1cccc(Cl)c1', 'Fc1cccc(OC(F)(F)F)c1']; [0.999940395, 0.999940395, 0.999940395]
-CNC(=O)c1ccccc1-c1ccsc1; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1']; ['OB(O)c1ccsc1', 'OB(O)c1ccsc1']; [0.999965191, 0.999965191]
-FC(F)(F)Oc1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccsc1; ['Brc1ccsc1']; ['CCOc1ccccc1B(O)O']; [0.999281108]
-Fc1cc(F)cc(Cc2ccsc2)c1; ['Fc1cc(F)cc(CBr)c1']; ['OB(O)c1ccsc1']; [0.999864697]
-FC(F)(F)c1cccc(-c2ccsc2)c1; ['FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc(Br)c1']; ['OB(O)c1ccsc1', 'OB(O)c1ccsc1']; [0.999944, 0.999944]
-c1ccc2c(-c3ccsc3)ccnc2c1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2ccsc2)C1; [None]; [None]; [0]
-c1cncc(-c2ccsc2)c1; ['Brc1ccsc1', 'Brc1cccnc1']; ['OB(O)c1cccnc1', 'OB(O)c1ccsc1']; [0.999987483, 0.999987483]
-Clc1ccccc1-c1ccsc1; ['Clc1ccccc1I', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'OB(O)c1ccccc1Cl']; [0.999652743, 0.999652743]
-Brc1ccccc1-c1ccsc1; ['Brc1ccsc1']; ['OB(O)c1ccccc1Br']; [0.946622312]
-c1cc(-c2ccsc2)n[nH]1; ['Brc1cc[nH]n1']; ['OB(O)c1ccsc1']; [0.999943137]
-FC(F)(F)Oc1ccccc1-c1ccsc1; ['FC(F)(F)Oc1ccccc1Br', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999679089, 0.999679089]
-NC(=O)c1ccccc1-c1ccsc1; ['NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br']; ['OB(O)c1ccsc1', 'OB(O)c1ccsc1']; [0.999864, 0.999864]
-Fc1ccccc1-c1ccsc1; ['Fc1ccccc1I', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'Fc1ccccc1Br']; [0.999982595, 0.999982595]
-Fc1cccc(F)c1-c1ccsc1; ['Fc1cccc(F)c1I']; ['OB(O)c1ccsc1']; [0.999981403]
-N#Cc1ccccc1-c1ccsc1; ['N#Cc1ccccc1Br', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'N#Cc1ccccc1Br']; [0.998934, 0.998934]
-c1ccc(Cn2cc(-c3ccsc3)cn2)cc1; ['Brc1cnn(Cc2ccccc2)c1']; ['CC1(C)OB(c2ccsc2)OC1(C)C']; [0.999972224]
-c1ccc(-c2ncc(-c3ccsc3)[nH]2)cc1; [None]; [None]; [0]
-OCCn1cc(-c2ccsc2)cn1; ['CC1(C)OB(c2ccsc2)OC1(C)C']; ['OCCn1cc(Br)cn1']; [0.999946]
-Cc1ccc(-c2ccsc2)c(Br)c1; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'OB(O)c1ccsc1', 'Cc1ccc(Br)c(Br)c1']; [0.999982, 0.999982, 0.999982]
-O=C(Nc1cccc(-c2ccsc2)c1)c1ccccc1; [None]; [None]; [0]
-N[C@H](c1ccsc1)c1ccco1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccsc2)s1; ['Cc1nc(C)c(Br)s1']; ['OB(O)c1ccsc1']; [0.999931335]
-c1cc(-c2ccc3c(c2)CCC3)cs1; ['Ic1ccc2c(c1)CCC2']; ['Ic1ccsc1']; [0.998894274]
-c1ncc(-c2ccsc2)o1; [None]; [None]; [0]
-c1ccn2c(-c3ccsc3)cnc2c1; ['Ic1ccsc1', 'Brc1ccsc1']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999905109, 0.999905109]
-Clc1cccc(Cl)c1-c1ccsc1; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Brc1ccsc1', 'Clc1cccc(Cl)c1I']; ['OB(O)c1ccsc1', 'OB(O)c1ccsc1', 'OB(O)c1c(Cl)cccc1Cl', 'c1ccsc1']; [0.999818146, 0.999818146, 0.999818146, 0.999818146]
-c1cnn2c(-c3ccsc3)cnc2c1; ['Brc1ccsc1']; ['c1cnn2ccnc2c1']; [0.999932051]
-Cc1ccc(Cl)c(-c2ccsc2)c1; ['Brc1ccsc1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(B(O)O)c1', 'Ic1ccsc1']; [0.99972409, 0.99972409]
-c1cc(OC2CCCCC2)cs1; ['Brc1ccsc1']; ['OC1CCCCC1']; [0.848248]
-Cc1nc(N)sc1-c1ccsc1; [None]; [None]; [0]
-c1cncc(CNc2ccsc2)c1; ['Nc1ccsc1']; ['O=Cc1cccnc1']; [0.958563864]
-Cc1ncc(-c2ccsc2)[nH]1; ['Cc1ncc(I)[nH]1']; ['OB(O)c1ccsc1']; [0.999479949]
-CC(C)(C)Nc1ccsc1; ['Brc1ccsc1']; ['CC(C)(C)N']; [0.833781064]
-c1ccc2cc(-c3ccsc3)ccc2c1; ['Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccsc1', 'Ic1ccsc1', 'Brc1ccsc1']; [0.9999578, 0.9999578, 0.9999578]
-Clc1cccc(-c2ccsc2)c1Cl; ['Clc1cccc(I)c1Cl', 'Brc1ccsc1', 'Clc1cccc(Br)c1Cl']; ['OB(O)c1ccsc1', 'OB(O)c1cccc(Cl)c1Cl', 'c1ccsc1']; [0.999607861, 0.999607861, 0.999607861]
-COc1cccc(-c2ccsc2)c1; ['Brc1ccsc1', 'Brc1ccsc1']; ['COc1cccc(B(O)O)c1', 'COc1cccc(Br)c1']; [0.999944329, 0.999944329]
-c1cncc(Nc2ccsc2)c1; ['Brc1ccsc1', 'Ic1ccsc1']; ['Nc1cccnc1', 'Nc1cccnc1']; [0.978143692, 0.978143692]
-Nc1nccc(-c2ccsc2)n1; ['CC1(C)OB(c2ccsc2)OC1(C)C']; ['Nc1nccc(Cl)n1']; [0.999993324]
-Clc1ccc(-c2ccsc2)s1; ['Clc1ccc(Br)s1', 'Ic1ccsc1', 'Clc1ccc(Cl)s1']; ['OB(O)c1ccsc1', 'OB(O)c1ccc(Cl)s1', 'OB(O)c1ccsc1']; [0.99982518, 0.99982518, 0.99982518]
-CC(C)COc1ccsc1; ['Brc1ccsc1', 'CC(C)CO']; ['CC(C)CO', 'COc1ccsc1']; [0.996197581, 0.996197581]
-C[C@H](CO)Nc1ccsc1; ['C[C@@H](N)CO']; ['Ic1ccsc1']; [0.990342736]
-c1ccc2c(-c3ccsc3)cncc2c1; ['Brc1ccsc1', 'Clc1ccsc1']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1cncc2ccccc12']; [0.999978781, 0.999978781]
-O=C(Nc1ccsc1)c1cccs1; ['Ic1ccsc1']; ['NC(=O)c1cccs1']; [0.970328569]
-Oc1cccc(-c2ccsc2)c1; ['Brc1ccsc1']; ['OB(O)c1cccc(O)c1']; [0.999824345]
-Cn1cncc1-c1ccsc1; ['Brc1ccsc1']; ['Cn1ccnc1']; [0.995645583]
-c1ccc2c(c1)ncn2-c1ccsc1; [None]; [None]; [0]
-c1cc(Nc2ccsc2)ccn1; ['Brc1ccsc1']; ['Nc1ccncc1']; [0.994854391]
-c1coc(-c2ccsc2)c1; ['OB(O)c1ccsc1', 'Brc1ccsc1']; ['c1ccoc1', 'c1ccoc1']; [0.999339163, 0.999339163]
-Cn1cc(-c2ccsc2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(I)cn1']; ['Ic1ccsc1', 'OB(O)c1ccsc1']; [0.99999094, 0.99999094]
-C[C@@H](O)[C@@H](C)Oc1ccsc1; [None]; [None]; [0]
-N#CCCc1cccc(-c2ccsc2)c1; ['N#CCCc1cccc(Br)c1']; ['OB(O)c1ccsc1']; [0.999983668]
-OCc1cccc(-c2ccsc2)c1; ['OB(O)c1ccsc1', 'Brc1ccsc1']; ['OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1']; [0.99988246, 0.99988246]
-c1csc(-c2ccsc2)c1; ['Clc1cccs1', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'OB(O)c1cccs1']; [0.999998, 0.999998]
-CCC(=O)Nc1ccc(-c2ccsc2)cc1; ['CCC(=O)Cl']; ['Nc1ccc(-c2ccsc2)cc1']; [0.999722302]
-CC(=O)Nc1cccc(-c2ccsc2)c1; ['Brc1ccsc1', 'CC(=O)Nc1cccc(Cl)c1']; ['CC(=O)Nc1cccc(B(O)O)c1', 'OB(O)c1ccsc1']; [0.99957794, 0.99957794]
-CCC(=O)Nc1ccsc1; ['CCC(=O)Cl', 'CCC(N)=O']; ['Nc1ccsc1', 'Clc1ccsc1']; [0.99263072, 0.99263072]
-CC(C)Nc1ccsc1; ['Brc1ccsc1']; ['CC(C)N']; [0.923994541]
-Fc1ccc(-c2ccsc2)c(C(F)(F)F)c1; [None]; [None]; [0]
-COc1ccc(-c2ccsc2)cc1Cl; [None]; [None]; [0]
-CCCn1cc(-c2ccsc2)cn1; ['CC1(C)OB(c2ccsc2)OC1(C)C']; ['CCCn1cc(Br)cn1']; [0.999995708]
-Cc1cc(-c2ccsc2)no1; [None]; [None]; [0]
-c1cc(-c2cnoc2)cs1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccsc3)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1ccsc1']; [0.999933]
-CC(C)(N)c1ccc(-c2ccsc2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['OB(O)c1ccsc1']; [0.99841404]
-CCOC(=O)Cc1ccsc1; []; []; []
-CCN(CC)c1ccsc1; ['Brc1ccsc1']; ['CCNCC']; [0.85785526]
-O=c1[nH]ccc2oc(-c3ccsc3)cc12; [None]; [None]; [0]
-c1ccc2ncc(Nc3ccsc3)cc2c1; ['Clc1cnc2ccccc2c1']; ['Nc1ccsc1']; [0.996174157]
-C[S@](=O)c1ccc(-c2ccsc2)cc1; ['CS(=O)c1ccc(Br)cc1', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'CS(=O)c1ccc(B(O)O)cc1']; [0.999931097, 0.999931097]
-COc1ccncc1Nc1ccsc1; ['COc1ccncc1Cl']; ['Nc1ccsc1']; [0.999919891]
-N#CCC(=O)N1CCC[C@@H](c2ccsc2)C1; [None]; [None]; [0]
-c1ccc2c(-c3ccsc3)c[nH]c2c1; ['Brc1ccsc1']; ['c1ccc2[nH]ccc2c1']; [0.963107228]
-OC[C@H](Cc1ccccc1)c1ccsc1; [None]; [None]; [0]
-c1cc2c(-c3ccsc3)c[nH]c2cn1; ['Brc1c[nH]c2cnccc12']; ['OB(O)c1ccsc1']; [0.999916911]
-N#CC[C@@H]1CC[C@@H](c2ccsc2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccsc1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccsc2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccsc2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1ccsc1']; [0.999798596]
-CNS(=O)(=O)c1ccc(-c2ccsc2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1ccsc1']; [0.999692202]
-NC(=O)c1c(F)cccc1-c1ccsc1; ['NC(=O)c1c(F)cccc1Br']; ['OB(O)c1ccsc1']; [0.999941468]
-CS(=O)(=O)c1ccc(-c2ccsc2)cc1; ['Brc1ccsc1', 'Brc1ccsc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999999166, 0.999999166]
-c1ccc2c(c1)cnn2-c1ccsc1; ['OB(O)c1ccsc1']; ['c1ccc2[nH]ncc2c1']; [0.984457672]
-Oc1ncccc1-c1ccsc1; ['OB(O)c1ccsc1']; ['Oc1ncccc1Br']; [0.99994719]
-COc1ccc(-c2ccsc2)c(OC)c1; ['Brc1ccsc1']; ['COc1ccc(Br)c(OC)c1']; [0.914407]
-Oc1ccc2nc(-c3ccsc3)[nH]c2c1; ['Nc1ccc(O)cc1[N+](=O)[O-]']; ['O=Cc1ccsc1']; [0.972734809]
-O=C(c1ccccc1)c1ccc(-c2ccsc2)cc1; ['Brc1ccsc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1ccsc1']; [0.999952078, 0.999952078]
-Oc1cccc2c1cnn2-c1ccsc1; [None]; [None]; [0]
-c1cn(-c2ccsc2)cn1; ['Brc1ccsc1']; ['c1c[nH]cn1']; [0.997464061]
-c1cc(Cc2ccsc2)ccn1; ['ClCc1ccncc1']; ['OB(O)c1ccsc1']; [0.997671902]
-Nc1ncc(-c2ccsc2)s1; ['CC(=O)c1ccsc1']; ['NC(N)=S']; [0.953627825]
-c1cc(OC2CCOCC2)cs1; ['Brc1ccsc1']; ['OC1CCOCC1']; [0.962648094]
-Cc1cncc(-c2ccsc2)n1; ['Cc1cncc(Br)n1', 'Cc1cncc(Cl)n1']; ['OB(O)c1ccsc1', 'OB(O)c1ccsc1']; [0.99999249, 0.99999249]
-COc1cccc(F)c1-c1ccsc1; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1I']; ['OB(O)c1ccsc1', 'OB(O)c1ccsc1']; [0.999981046, 0.999981046]
-Nc1nc(-c2ccsc2)nc2ccccc12; [None]; [None]; [0]
-c1cnc2c(-c3ccsc3)c[nH]c2c1; ['Clc1c[nH]c2cccnc12']; ['OB(O)c1ccsc1']; [0.99993]
-Nc1nnc(-c2ccsc2)s1; ['NNC(N)=S']; ['O=C(O)c1ccsc1']; [0.99994576]
-c1cncc(Cc2ccsc2)c1; ['ClCc1cccnc1']; ['OB(O)c1ccsc1']; [0.999899387]
-c1cc(-c2ccsc2)c2sccc2c1; ['Brc1cccc2ccsc12']; ['OB(O)c1ccsc1']; [0.999964118]
-COc1ccc(C#N)cc1-c1ccsc1; ['COc1ccc(C#N)cc1Cl', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'COc1ccc(C#N)cc1Br']; [0.999889612, 0.999889612]
-CC(C)(C)CNc1ccsc1; ['Brc1ccsc1']; ['CC(C)(C)CN']; [0.989352465]
-CC(C)(C)Oc1ccsc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccsc2)c1; ['Cc1cc(C)cc(I)c1', 'Brc1ccsc1']; ['OB(O)c1ccsc1', 'Cc1cc(C)cc(B(O)O)c1']; [0.999934912, 0.999934912]
-COc1ccc(OC)c(-c2ccsc2)c1; ['Brc1ccsc1']; ['COc1ccc(OC)c(Br)c1']; [0.993525505]
-C[C@@]1(O)CC[C@H](c2ccsc2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc2ccccc2c1; ['CNC(=O)c1ccccc1']; ['OB(O)c1ccc2ccccc2c1']; [0.999785721]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccsc2)C1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'Brc1ccsc1']; ['Ic1ccsc1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.999691963, 0.999691963]
-Fc1cc(F)cc(Cc2ccc3ccccc3c2)c1; ['Fc1cc(F)cc(CCl)c1', 'ClCc1ccc2ccccc2c1', 'Fc1cc(F)cc(CBr)c1', 'BrCc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1cc(F)cc(F)c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1cc(F)cc(F)c1']; [0.99998939, 0.99998939, 0.99998939, 0.99998939]
-c1ccc2[nH]c(C3CCN(c4ccsc4)CC3)nc2c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc2ccccc2c1; ['Brc1ccc2ccccc2c1']; ['CCOc1ccccc1Br']; [0.979032278]
-O[C@H]1C[C@@H](c2ccc3ccccc3c2)C1; [None]; [None]; [0]
-c1cncc(-c2ccc3ccccc3c2)c1; ['Brc1ccc2ccccc2c1']; ['Brc1cccnc1']; [0.998346567]
-c1ccc2cc(-c3cc[nH]n3)ccc2c1; []; []; []
-c1ccc2cc(-c3ccnc4ccccc34)ccc2c1; ['Clc1ccnc2ccccc12']; ['OB(O)c1ccc2ccccc2c1']; [0.999910712]
-Clc1ccccc1-c1ccc2ccccc2c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1ccc2ccccc2c1', 'Clc1ccccc1Cl', 'Clc1ccc2ccccc2c1']; ['Clc1ccccc1Br', 'CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccccc1Cl']; [0.999998, 0.999998, 0.999998, 0.999998]
-Fc1ccccc1-c1ccc2ccccc2c1; ['Brc1ccc2ccccc2c1']; ['Fc1ccccc1Br']; [0.979156137]
-FC(F)(F)Oc1ccccc1-c1ccc2ccccc2c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'FC(F)(F)Oc1ccccc1Cl']; ['FC(F)(F)Oc1ccccc1Br', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccc2ccccc2c1']; [0.99998641, 0.99998641, 0.99998641, 0.99998641]
-Brc1ccccc1-c1ccc2ccccc2c1; ['Brc1ccccc1I', 'Ic1ccc2ccccc2c1', 'Brc1ccccc1Br', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccccc1Br', 'Ic1ccc2ccccc2c1', 'Brc1ccccc1I']; [0.999987, 0.999987, 0.999987, 0.999987]
-N#Cc1ccccc1-c1ccc2ccccc2c1; ['N#Cc1ccccc1Br']; ['c1ccc2ccccc2c1']; [0.895137966]
-Fc1cccc(F)c1-c1ccc2ccccc2c1; ['Fc1cccc(F)c1']; ['O=S(=O)(Oc1ccc2ccccc2c1)C(F)(F)F']; [0.920420885]
-NC(=O)c1ccccc1-c1ccc2ccccc2c1; ['NC(=O)c1ccccc1Cl', 'Ic1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'NC(=O)c1ccccc1']; [0.999807537, 0.999807537]
-c1ccc(Cn2cc(-c3ccc4ccccc4c3)cn2)cc1; ['Brc1ccc2ccccc2c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; [0.999999166]
-OCCn1cc(-c2ccc3ccccc3c2)cn1; ['OB(O)c1ccc2ccccc2c1']; ['OCCn1cc(Br)cn1']; [0.9999547]
-c1ccc(-c2ncc(-c3ccc4ccccc4c3)[nH]2)cc1; [None]; [None]; [0]
-N[C@H](c1ccc2ccccc2c1)c1ccco1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3ccccc3c2)c(Br)c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.999993801, 0.999993801, 0.999993801]
-c1ccc2cc(-c3ccc4c(c3)CCC4)ccc2c1; ['C#CCCCC#C']; ['C#Cc1ccc2ccccc2c1']; [0.999846697]
-Cc1nc(C)c(-c2ccc3ccccc3c2)s1; ['Cc1nc(C)c(Br)s1']; ['OB(O)c1ccc2ccccc2c1']; [0.999990225]
-c1ccc2cc(-c3cnc4ccccn34)ccc2c1; ['Brc1ccc2ccccc2c1', 'c1ccc2ccccc2c1']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999934912, 0.999934912]
-O=C(Nc1cccc(-c2ccc3ccccc3c2)c1)c1ccccc1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ccc2ccccc2c1; ['Clc1cccc(Cl)c1Br', 'Brc1ccc2ccccc2c1', 'Clc1cccc(Cl)c1Br', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'c1ccc2ccccc2c1', 'Clc1cccc(Cl)c1']; [0.999995828, 0.999995828, 0.999995828, 0.999995828]
-CC(C)(C)Nc1ccc2ccccc2c1; ['CC(C)(C)N', 'CC(C)(C)OC(=N)C(Cl)(Cl)Cl']; ['Clc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1']; [0.99433881, 0.99433881]
-Cc1ccc(Cl)c(-c2ccc3ccccc3c2)c1; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1ccc2ccccc2c1', 'Cc1ccc(Cl)cc1']; ['OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Ic1ccc2ccccc2c1']; [0.999949, 0.999949, 0.999949, 0.999949, 0.999949]
-Clc1cccc(-c2ccc3ccccc3c2)c1Cl; ['Clc1cccc(I)c1Cl']; ['Ic1ccc2ccccc2c1']; [0.99628216]
-c1ccc2cc(-c3cnco3)ccc2c1; []; []; []
-Cc1ncc(-c2ccc3ccccc3c2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1ccc2ccccc2c1']; [0.999177158]
-Nc1nccc(-c2ccc3ccccc3c2)n1; ['Nc1nccc(Cl)n1']; ['OB(O)c1ccc2ccccc2c1']; [0.999524117]
-Cc1nc(N)sc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-c1ccc2cc(-c3ccc4ccccc4c3)ccc2c1; ['F[B-](F)(F)c1ccc2ccccc2c1', 'NNc1ccc2ccccc2c1']; ['F[B-](F)(F)c1ccc2ccccc2c1', 'NNc1ccc2ccccc2c1']; [0.98136133, 0.98136133]
-Clc1ccc(-c2ccc3ccccc3c2)s1; ['Clc1ccc(Br)s1']; ['OB(O)c1ccc2ccccc2c1']; [0.999983191]
-c1ccc2cc(OC3CCCCC3)ccc2c1; ['OC1CCCCC1', 'Fc1ccc2ccccc2c1']; ['Oc1ccc2ccccc2c1', 'OC1CCCCC1']; [0.946456194, 0.946456194]
-c1cncc(CNc2ccc3ccccc3c2)c1; ['BrCc1cccnc1', 'Brc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1']; ['Nc1ccc2ccccc2c1', 'NCc1cccnc1', 'O=Cc1cccnc1']; [0.996757448, 0.996757448, 0.996757448]
-C[C@H](CO)Nc1ccc2ccccc2c1; ['C[C@@H](N)CO', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'C[C@@H](N)CO']; [0.998969078, 0.998969078]
-c1ccc2cc(-n3cnc4ccccc43)ccc2c1; ['OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.999613583, 0.999613583]
-COc1cccc(-c2ccc3ccccc3c2)c1; ['COc1cccc(Br)c1', 'COc1cccc(I)c1', 'COc1cccc(B(O)O)c1', 'Brc1ccc2ccccc2c1', 'COc1cccc(Br)c1', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'COc1cccc(B(O)O)c1', 'c1ccc2ccccc2c1', 'COc1ccccc1']; [0.999993205, 0.999993205, 0.999993205, 0.999993205, 0.999993205, 0.999993205]
-c1cncc(Nc2ccc3ccccc3c2)c1; ['Brc1ccc2ccccc2c1']; ['Nc1cccnc1']; [0.999456]
-O=C(Nc1ccc2ccccc2c1)c1cccs1; ['Clc1ccc2ccccc2c1']; ['NC(=O)c1cccs1']; [0.986517966]
-CC(C)COc1ccc2ccccc2c1; ['Brc1ccc2ccccc2c1', 'CC(C)CBr', 'CC(C)CCl']; ['CC(C)CO', 'Oc1ccc2ccccc2c1', 'Oc1ccc2ccccc2c1']; [0.996818662, 0.996818662, 0.996818662]
-c1ccc2cc(-c3cncc4ccccc34)ccc2c1; ['Brc1ccc2ccccc2c1', 'Clc1cncc2ccccc12', 'Clc1ccc2ccccc2c1']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1cncc2ccccc12']; [0.999994397, 0.999994397, 0.999994397]
-C[C@@H](O)[C@@H](C)Oc1ccc2ccccc2c1; [None]; [None]; [0]
-Oc1cccc(-c2ccc3ccccc3c2)c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Br[Mg]c1ccc2ccccc2c1']; ['Oc1cccc(Br)c1', 'Oc1cccc(Br)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.999987245, 0.999987245, 0.999987245, 0.999987245, 0.999987245]
-Cn1cncc1-c1ccc2ccccc2c1; ['Cn1cncc1I', 'Cn1cncc1Br']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.999984145, 0.999984145]
-c1coc(-c2ccc3ccccc3c2)c1; ['Brc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1']; ['c1ccoc1', 'c1ccoc1']; [0.999143, 0.999143]
-OCc1cccc(-c2ccc3ccccc3c2)c1; ['Clc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; ['OCc1cccc(B(O)O)c1', 'OCc1cccc(Cl)c1']; [0.995120823, 0.995120823]
-c1ccc2cc(Nc3ccncc3)ccc2c1; ['Nc1ccc2ccccc2c1']; ['c1cc[n+](-c2ccncc2)cc1']; [0.979829907]
-c1csc(-c2ccc3ccccc3c2)c1; ['Br[Mg]c1cccs1', 'Clc1cccs1', 'Brc1ccc2ccccc2c1']; ['Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'c1ccsc1']; [0.999777377, 0.999777377, 0.999777377]
-CC(C)Nc1ccc2ccccc2c1; []; []; []
-Cn1cc(-c2ccc3ccccc3c2)cn1; ['Brc1ccc2ccccc2c1', 'Cn1cc(Br)cn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'OB(O)c1ccc2ccccc2c1']; [0.999996662, 0.999996662]
-Fc1ccc(-c2ccc3ccccc3c2)c(C(F)(F)F)c1; ['Brc1ccc2ccccc2c1']; ['Fc1ccc(Br)c(C(F)(F)F)c1']; [0.999197304]
-N#CCCc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3ccccc3c2)cc1Cl; ['COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccccc1Cl']; ['OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'C[Si](C)(C)c1ccc2ccccc2c1']; [0.999888301, 0.999888301, 0.999888301, 0.999888301, 0.999888301]
-CC(=O)Nc1cccc(-c2ccc3ccccc3c2)c1; ['Brc1ccc2ccccc2c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1']; [0.999999523, 0.999999523, 0.999999523, 0.999999523, 0.999999523]
-CCC(=O)Nc1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
-CCCn1cc(-c2ccc3ccccc3c2)cn1; ['CCCn1cc(Br)cn1']; ['OB(O)c1ccc2ccccc2c1']; [0.999983549]
-CCC(=O)Nc1ccc2ccccc2c1; ['CCC(=O)Cl', 'CCC(=O)O', 'CCOC(=O)CC']; ['Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1']; [0.997205317, 0.997205317, 0.997205317]
-c1ccc2cc(-c3cnoc3)ccc2c1; ['Brc1cnoc1']; ['OB(O)c1ccc2ccccc2c1']; [0.999727428]
-CCOC(=O)Cc1ccc2ccccc2c1; ['CCO', 'CCOC(=O)CN']; ['O=C(O)Cc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.999359787, 0.999359787]
-Cc1cc(-c2ccc3ccccc3c2)no1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccc4ccccc4c3)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1ccc2ccccc2c1']; [0.999996543]
-CC(C)(N)c1ccc(-c2ccc3ccccc3c2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['OB(O)c1ccc2ccccc2c1']; [0.993442655]
-CCN(CC)c1ccc2ccccc2c1; ['CCOS(=O)(=O)OCC', 'CCNCC', 'Brc1ccc2ccccc2c1']; ['Nc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'CCNCC']; [0.997793078, 0.997793078, 0.997793078]
-COc1ccncc1Nc1ccc2ccccc2c1; ['COc1ccncc1N', 'Brc1ccc2ccccc2c1']; ['Ic1ccc2ccccc2c1', 'COc1ccncc1N']; [0.999211311, 0.999211311]
-O=c1[nH]ccc2oc(-c3ccc4ccccc4c3)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc3ccccc3c2)cc1; ['Brc1ccc2ccccc2c1', 'CS(=O)c1ccc(Br)cc1']; ['CS(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2ccccc2c1']; [0.99975723, 0.99975723]
-c1ccc2cc(-c3c[nH]c4ccccc34)ccc2c1; ['Brc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1']; ['c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.924318492, 0.924318492]
-c1ccc2cc(Nc3cnc4ccccc4c3)ccc2c1; ['Brc1ccc2ccccc2c1']; ['Nc1cnc2ccccc2c1']; [0.999160886]
-c1ccc2cc(-c3c[nH]c4cnccc34)ccc2c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ccc2ccccc2c1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc3ccccc3c2)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc3ccccc3c2)CC1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc3ccccc3c2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3ccccc3c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccccc1']; ['Ic1ccc2ccccc2c1']; [0.987769067]
-N#C[C@H]1CCOC[C@@H]1c1ccc2ccccc2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3ccccc3c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Ic1ccc2ccccc2c1']; [0.960485]
-CS(=O)(=O)c1ccc(-c2ccc3ccccc3c2)cc1; ['Brc1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(Br)cc1', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1']; [0.999999404, 0.999999404, 0.999999404, 0.999999404, 0.999999404]
-NC(=O)c1c(F)cccc1-c1ccc2ccccc2c1; ['Ic1ccc2ccccc2c1']; ['NC(=O)c1ccccc1F']; [0.997871757]
-c1ccc2cc(-n3ncc4ccccc43)ccc2c1; ['Brc1ccc2ccccc2c1', 'Cc1ccccc1N']; ['c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.999904633, 0.999904633]
-Oc1ncccc1-c1ccc2ccccc2c1; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; ['Oc1ncccc1Br', 'Oc1ncccc1I', 'Oc1ccccn1']; [0.999989748, 0.999989748, 0.999989748]
-Oc1ccc2nc(-c3ccc4ccccc4c3)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3ccccc3c2)c(OC)c1; ['Brc1ccc2ccccc2c1', 'COc1ccc(I)c(OC)c1']; ['COc1ccc(Br)c(OC)c1', 'Ic1ccc2ccccc2c1']; [0.981705904, 0.981705904]
-Oc1cccc2c1cnn2-c1ccc2ccccc2c1; [None]; [None]; [0]
-c1ccc2cc(-n3ccnc3)ccc2c1; ['OB(O)c1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.999908, 0.999908]
-O=C(c1ccccc1)c1ccc(-c2ccc3ccccc3c2)cc1; ['Brc1ccc2ccccc2c1']; ['O=C(c1ccccc1)c1ccc(O)cc1']; [0.925697625]
-Nc1ncc(-c2ccc3ccccc3c2)s1; ['CC(=O)c1ccc2ccccc2c1']; ['NC(N)=S']; [0.98050034]
-c1ccc2cc(Cc3ccncc3)ccc2c1; ['ClCc1ccncc1']; ['c1ccc2ccccc2c1']; [0.940184712]
-c1ccc2cc(OC3CCOCC3)ccc2c1; ['OC1CCOCC1', 'ClC1CCOCC1']; ['Oc1ccc2ccccc2c1', 'Oc1ccc2ccccc2c1']; [0.996874928, 0.996874928]
-COc1cccc(F)c1-c1ccc2ccccc2c1; ['Brc1ccc2ccccc2c1']; ['COc1cccc(F)c1Br']; [0.999697685]
-Nc1nnc(-c2ccc3ccccc3c2)s1; ['NNC(N)=S']; ['O=C(O)c1ccc2ccccc2c1']; [0.999932885]
-Cc1cncc(-c2ccc3ccccc3c2)n1; ['Cc1cncc(Br)n1', 'Cc1cncc(Cl)n1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.999996543, 0.999996543]
-c1ccc2cc(-c3nc4ccccc4s3)ccc2c1; ['Nc1ccccc1S', 'Nc1ccccc1S', 'C=Cc1ccc2ccccc2c1']; ['OCc1ccc2ccccc2c1', 'O=C(Cl)c1ccc2ccccc2c1', 'c1ccc2scnc2c1']; [0.999981523, 0.999981523, 0.999981523]
-c1ccc2cc(-c3cccc4ccsc34)ccc2c1; ['Brc1cccc2ccsc12']; ['OB(O)c1ccc2ccccc2c1']; [0.999952912]
-Nc1nc(-c2ccc3ccccc3c2)nc2ccccc12; ['N#Cc1ccccc1N']; ['O=C(Cl)c1ccc2ccccc2c1']; [0.988459527]
-c1cncc(Cc2ccc3ccccc3c2)c1; ['ClCc1cccnc1']; ['OB(O)c1ccc2ccccc2c1']; [0.999816239]
-COc1ccc(C#N)cc1-c1ccc2ccccc2c1; ['Brc1ccc2ccccc2c1']; ['COc1ccc(C#N)cc1Br']; [0.995470881]
-CC(C)(C)CNc1ccc2ccccc2c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ccc3ccccc3c2)CC1; [None]; [None]; [0]
-c1ccc2cc(-c3c[nH]c4cccnc34)ccc2c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc3ccccc3c2)c1; ['Brc1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc(Cl)c1', 'Cc1cc(C)cc(I)c1', 'Cc1cccc(C)c1']; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cc(C)cc(Br)c1', 'Clc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1']; [0.999999642, 0.999999642, 0.999999642, 0.999999642, 0.999999642, 0.999999642]
-CC(C)(C)Oc1ccc2ccccc2c1; ['CC(C)(C)[O-]', 'CC(C)(C)[O-]']; ['Clc1ccc2ccccc2c1', 'Fc1ccc2ccccc2c1']; [0.915440083, 0.915440083]
-Oc1ccc(-c2ccc(Cl)c(Cl)c2)cc1; ['Clc1ccc(Br)cc1Cl', 'OB(O)c1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1']; [0.999498963, 0.999498963, 0.999498963, 0.999498963]
-c1ccc2cc(N3CCC(c4nc5ccccc5[nH]4)CC3)ccc2c1; ['Brc1ccc2ccccc2c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999089956]
-Clc1ccc(-c2ccncc2)cc1Cl; ['Brc1ccncc1', 'Clc1ccc([Mg]Br)cc1Cl']; ['OB(O)c1ccc(Cl)c(Cl)c1', 'Clc1ccncc1']; [0.999905348, 0.999905348]
-COc1ccc(OC)c(-c2ccc3ccccc3c2)c1; ['COc1ccc(OC)c(Br)c1', 'Brc1ccc2ccccc2c1', 'COc1ccc(OC)c(B(O)O)c1']; ['OB(O)c1ccc2ccccc2c1', 'COc1ccc(OC)c(B(O)O)c1', 'Ic1ccc2ccccc2c1']; [0.999993086, 0.999993086, 0.999993086]
-Clc1ccc(-c2cccc3ncccc23)cc1Cl; ['Brc1cccc2ncccc12']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999995112]
-CCc1ccc(-c2ccc(Cl)c(Cl)c2)cc1; ['CCc1ccc(I)cc1']; ['Clc1ccc(I)cc1Cl']; [0.938993335]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3ccccc3c2)C1; ['Brc1ccc2ccccc2c1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.999005854]
-Cn1cc(-c2ccc(Cl)c(Cl)c2)cn1; ['Clc1ccc(I)cc1Cl']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999993443]
-Oc1cc(-c2ccc(Cl)c(Cl)c2)ccc1Cl; ['Clc1ccc(I)cc1Cl', 'O=Cc1cccc(Cl)c1Cl', 'O=Cc1ccc(Cl)c(Cl)c1']; ['O=Cc1cccc(Cl)c1O', 'Oc1cc(I)ccc1Cl', 'Oc1cc(I)ccc1Cl']; [0.951179266, 0.951179266, 0.951179266]
-Clc1ccc(-c2n[nH]c3ccccc23)cc1Cl; ['CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C']; ['Ic1n[nH]c2ccccc12']; [0.999965787]
-Clc1ccc(-c2c(Cl)cccc2Cl)cc1Cl; ['Clc1cccc(Cl)c1']; ['Nc1ccc(Cl)c(Cl)c1']; [0.9766922]
-Clc1ccc(-c2cn[nH]c2)cc1Cl; []; []; []
-CNS(=O)(=O)c1ccc(-c2ccc(Cl)c(Cl)c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.998470962]
-Fc1cccc(F)c1-c1ccc(Cl)c(Cl)c1; ['Clc1ccc(Br)cc1Cl']; ['O=C([O-])c1c(F)cccc1F']; [0.996070266]
-NC(=O)c1ccc(-c2ccc(Cl)c(Cl)c2)cc1; []; []; []
-Oc1ccc(-c2ccc(Cl)c(Cl)c2)c(Cl)c1; ['CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C']; ['Oc1ccc(Br)c(Cl)c1']; [0.999980092]
-Fc1ccc(Oc2ccc(Cl)c(Cl)c2)cc1; ['Fc1ccc(I)cc1', 'Clc1ccc(I)cc1Cl', 'Fc1ccc(F)cc1', 'Fc1ccc(Cl)c(Cl)c1']; ['Oc1ccc(Cl)c(Cl)c1', 'Oc1ccc(F)cc1', 'Oc1ccc(Cl)c(Cl)c1', 'Oc1ccc(F)cc1']; [0.998263657, 0.998263657, 0.998263657, 0.998263657]
-Nc1nccc(-c2ccc(Cl)c(Cl)c2)n1; ['CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C', 'Nc1nccc(Cl)n1']; ['Nc1nccc(Cl)n1', 'OB(O)c1ccc(Cl)c(Cl)c1']; [0.999963284, 0.999963284]
-Cc1ncc(-c2ccc(Cl)c(Cl)c2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999079227]
-Clc1ccc(-c2ccccc2Cl)cc1Cl; ['Clc1ccccc1Cl', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccccc1Cl']; ['OB(O)c1ccc(Cl)c(Cl)c1', 'OB(O)c1ccccc1Cl', 'Nc1ccccc1Cl']; [0.991503775, 0.991503775, 0.991503775]
-Clc1ccc(-c2cc[nH]c2)cc1Cl; [None]; [None]; [0]
-N#Cc1cnc(-c2ccc(Cl)c(Cl)c2)cn1; ['N#Cc1cnc(Cl)cn1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999940276]
-N#Cc1ccc(-c2ccc(Cl)c(Cl)c2)cc1; ['Clc1ccccc1Cl']; ['N#Cc1ccc(Br)cc1']; [0.838910222]
-O[C@H]1C[C@@H](c2ccc(Cl)c(Cl)c2)C1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc(Cl)c(Cl)c2)o1; ['COC(=O)c1ccc(Br)o1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999902248]
-COc1cc(-c2ccc(Cl)c(Cl)c2)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O']; ['Clc1ccccc1Cl', 'Clc1ccccc1Cl']; [0.88015312, 0.88015312]
-Clc1ccc(-c2ccoc2)cc1Cl; ['Brc1ccoc1', 'Clc1ccc(I)cc1Cl']; ['OB(O)c1ccc(Cl)c(Cl)c1', 'OB(O)c1ccoc1']; [0.999948502, 0.999948502]
-Clc1ccc(-c2cnccn2)cc1Cl; ['CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C', 'Clc1cnccn1']; ['Clc1cnccn1', 'OB(O)c1ccc(Cl)c(Cl)c1']; [0.999992728, 0.999992728]
-Clc1cccc(OCc2ccc(Cl)c(Cl)c2)c1; ['ClCc1ccc(Cl)c(Cl)c1', 'OCc1ccc(Cl)c(Cl)c1']; ['Oc1cccc(Cl)c1', 'Oc1cccc(Cl)c1']; [0.999846339, 0.999846339]
-N#Cc1ccc(-c2ccc(Cl)c(Cl)c2)cn1; ['CC1(C)OB(c2ccc(C#N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(C#N)nc2)OC1(C)C', 'N#Cc1ccc(Br)cn1', 'Clc1ccc(Br)cc1Cl']; ['Clc1ccc(Br)cc1Cl', 'Clc1ccc(I)cc1Cl', 'OB(O)c1ccc(Cl)c(Cl)c1', 'N#Cc1ccc(B(O)O)cn1']; [0.999999762, 0.999999762, 0.999999762, 0.999999762]
-Clc1ccc(-c2cccs2)cc1Cl; []; []; []
-COc1cc(CCc2ccc(Cl)c(Cl)c2)ccc1O; [None]; [None]; [0]
-Clc1ccc(-c2cccc(Br)c2)cc1Cl; ['C[Si](C)(C)c1cccc(Br)c1', 'Clc1ccccc1Cl']; ['Clc1ccccc1Cl', 'Nc1cccc(Br)c1']; [0.995212317, 0.995212317]
-Clc1ccc(-c2ccncn2)cc1Cl; ['Clc1ccncn1', 'CC(=O)c1ccc(Cl)c(Cl)c1']; ['OB(O)c1ccc(Cl)c(Cl)c1', 'O=CNC(NC=O)NC=O']; [0.999952078, 0.999952078]
-OCCCc1ccc(Cl)c(Cl)c1; []; []; []
-Oc1ccc(-c2ccc(Cl)c(Cl)c2)c(O)c1; ['OB(O)c1ccc(Cl)c(Cl)c1']; ['Oc1ccc(Br)c(O)c1']; [0.998721659]
-Clc1ccc(COc2ccccc2Cl)cc1Cl; ['ClCc1ccc(Cl)c(Cl)c1', 'Fc1ccccc1Cl']; ['Oc1ccccc1Cl', 'OCc1ccc(Cl)c(Cl)c1']; [0.998766661, 0.998766661]
-COC(=O)c1ccc(Cl)c(-c2ccc(Cl)c(Cl)c2)c1; ['COC(=O)c1ccc(Cl)c(Br)c1']; ['Clc1ccc(Br)cc1Cl']; [0.990410328]
-Cc1ccc(O)cc1-c1ccc(Cl)c(Cl)c1; ['Cc1ccc(O)cc1Br']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.99986434]
-Fc1ccc(-c2ccc(Cl)c(Cl)c2)cc1Cl; ['Clc1ccc(I)cc1Cl']; ['Fc1ccc(I)cc1Cl']; [0.992323637]
-OC[C@H](c1ccccc1)c1ccc(Cl)c(Cl)c1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(Cl)c(Cl)c2)cc1C; ['Cc1ccc(I)cc1C']; ['Clc1ccc(I)cc1Cl']; [0.984503746]
-Oc1ccc(Cl)c(-c2ccc(Cl)c(Cl)c2)c1; ['OB(O)c1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(Cl)c(Cl)c1']; ['Oc1ccc(Cl)c(Br)c1', 'Oc1ccc(Cl)c(I)c1']; [0.999698162, 0.999698162]
-O=c1ccccn1Cc1ccc(Cl)c(Cl)c1; ['COc1ccccn1', 'Clc1ccc(CBr)cc1Cl']; ['Clc1ccc(CBr)cc1Cl', 'O=c1cccc[nH]1']; [0.999785244, 0.999785244]
-Oc1ncc(-c2ccc(Cl)c(Cl)c2)cc1Cl; ['OB(O)c1ccc(Cl)c(Cl)c1']; ['Oc1ncc(Br)cc1Cl']; [0.999722302]
-Cc1ccc(CO)cc1-c1ccc(Cl)c(Cl)c1; ['Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1Br']; ['OB(O)c1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(Cl)c(Cl)c1', 'Clc1ccccc1Cl']; [0.999609053, 0.999609053, 0.999609053]
-COc1cc(OC)cc(-c2ccc(Cl)c(Cl)c2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cccc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(N)cc(OC)c1']; ['Clc1ccc(Br)cc1Cl', 'COc1cc(Br)cc(OC)c1', 'Clc1ccc(Br)cc1Cl', 'Clc1ccc(I)cc1Cl', 'OB(O)c1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc(I)cc1Cl', 'Clc1ccccc1Cl', 'Clc1ccccc1Cl']; [0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997, 0.999997]
-COc1ccc(-c2ccc(Cl)c(Cl)c2)cc1OC; ['COc1ccc(I)cc1OC']; ['Clc1ccc(I)cc1Cl']; [0.966460884]
-Cc1nc2ccc(-c3ccc(Cl)c(Cl)c3)cc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc(Cl)c(Cl)c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ccc(Br)cc1Cl', 'CS(=O)(=O)c1ccc(Br)cc1', 'Clc1ccc(Br)cc1Cl', 'OB(O)c1ccc(Cl)c(Cl)c1']; [0.999997, 0.999997, 0.999997, 0.999997]
-O=C1Cc2cc(-c3ccc(Cl)c(Cl)c3)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(Br)ccc2N1']; ['Clc1ccc(I)cc1Cl', 'OB(O)c1ccc(Cl)c(Cl)c1']; [0.999686122, 0.999686122]
-NC(=O)Nc1ccc(-c2ccc(Cl)c(Cl)c2)cc1; ['NC(=O)Nc1ccc(Br)cc1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999896049]
-Clc1ccc(-c2nc3ccccc3s2)cc1Cl; ['O=Cc1ccc(Cl)c(Cl)c1']; ['c1ccc2scnc2c1']; [0.993830144]
-Oc1cncc(-c2ccc(Cl)c(Cl)c2)c1; ['OB(O)c1ccc(Cl)c(Cl)c1']; ['Oc1cncc(Br)c1']; [0.999591172]
-CCc1cc(O)ccc1-c1ccc(Cl)c(Cl)c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ccc(Cl)c(Cl)c2)CC1; [None]; [None]; [0]
-Clc1ccc(-n2ccnc2)cc1Cl; ['OB(O)c1ccc(Cl)c(Cl)c1', 'Fc1ccc(Cl)c(Cl)c1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.999190271, 0.999190271]
-Cc1cc(O)ccc1-c1ccc(Cl)c(Cl)c1; ['Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1B(O)O']; ['OB(O)c1ccc(Cl)c(Cl)c1', 'Clc1ccc(I)cc1Cl']; [0.99986136, 0.99986136]
-C[C@H](CC(N)=O)c1ccc(Cl)c(Cl)c1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc(Cl)c(Cl)c1; ['Cc1cccc(C)c1I']; ['Clc1ccc(I)cc1Cl']; [0.969272554]
-Clc1ccc(-c2nccs2)cc1Cl; ['Brc1nccs1', 'Brc1nccs1']; ['CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C', 'Clc1ccc(Br)cc1Cl']; [0.99999404, 0.99999404]
-Oc1c(Cl)cc(-c2ccc(Cl)c(Cl)c2)cc1Cl; ['OB(O)c1ccc(Cl)c(Cl)c1', 'Nc1ccc(Cl)c(Cl)c1']; ['Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cccc1Cl']; [0.999629617, 0.999629617]
-Nc1cc(-c2ccc(Cl)c(Cl)c2)[nH]n1; []; []; []
-CCc1sccc1-c1ccc(Cl)c(Cl)c1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3ccc(Cl)c(Cl)c3)cc2[nH]1; ['O=c1[nH]c2ccc(Br)cc2[nH]1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999881268]
-Clc1ccc(Nc2ccncc2)cc1Cl; ['Ic1ccncc1', 'Clc1ccncc1', 'Nc1ccc(Cl)c(Cl)c1']; ['Nc1ccc(Cl)c(Cl)c1', 'Nc1ccc(Cl)c(Cl)c1', 'c1cc[n+](-c2ccncc2)cc1']; [0.998681366, 0.998681366, 0.998681366]
-Fc1cc(Br)ccc1-c1ccc(Cl)c(Cl)c1; ['Clc1ccc(I)cc1Cl', 'Clc1ccc(Br)cc1Cl']; ['Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br']; [0.999601424, 0.999601424]
-Clc1ccc(-c2ccc3c(c2)CCN3)cc1Cl; ['Brc1ccc2c(c1)CCN2']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999761164]
-Cc1csc(-c2ccc(Cl)c(Cl)c2)n1; ['CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C', 'Cc1cscn1']; ['Cc1csc(Br)n1', 'Clc1ccc(I)cc1Cl']; [0.99999249, 0.99999249]
-Cn1ncc(N)c1-c1ccc(Cl)c(Cl)c1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(Cl)c(Cl)c2)nc1C; ['Cc1cccnc1C', 'Cc1cccnc1C']; ['OB(O)c1ccc(Cl)c(Cl)c1', 'Clc1ccc(Br)cc1Cl']; [0.966361701, 0.966361701]
-CNC(=O)c1ccc(-c2ccc(Cl)c(Cl)c2)cc1; ['CN']; ['O=C(O)c1ccc(-c2ccc(Cl)c(Cl)c2)cc1']; [0.998636663]
-Oc1cc(Br)cc(-c2ccc(Cl)c(Cl)c2)c1; ['OB(O)c1ccc(Cl)c(Cl)c1']; ['Oc1cc(Br)cc(Br)c1']; [0.999626398]
-Oc1c(F)cc(-c2ccc(Cl)c(Cl)c2)cc1F; ['Clc1ccc(Br)cc1Cl', 'Clc1ccccc1Cl']; ['Oc1c(F)cccc1F', 'Oc1c(F)cc(Br)cc1F']; [0.991891265, 0.991891265]
-Cc1ccc(-c2ccc(Cl)c(Cl)c2)c(C)n1; ['Cc1ccc(Br)c(C)n1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999922514]
-Clc1ccc(-c2cnco2)cc1Cl; []; []; []
-Cc1nc2ccc(-c3ccc(Cl)c(Cl)c3)cc2o1; ['Cc1nc2ccc(Br)cc2o1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999943137]
-CSc1cccc(-c2ccc(Cl)c(Cl)c2)c1; ['CSc1cccc(Br)c1', 'CSc1cccc(N)c1']; ['Clc1ccc(Br)cc1Cl', 'Clc1ccccc1Cl']; [0.924526274, 0.924526274]
-Fc1ccccc1Oc1ccc(Cl)c(Cl)c1; ['Fc1ccccc1Br', 'Clc1ccc(Br)cc1Cl']; ['Oc1ccc(Cl)c(Cl)c1', 'Oc1ccccc1F']; [0.998971105, 0.998971105]
-Clc1ccc(OCc2ccccc2)cc1Cl; ['ClCc1ccccc1']; ['Oc1ccc(Cl)c(Cl)c1']; [0.999580085]
-O=c1[nH][nH]c2cc(-c3ccc(Cl)c(Cl)c3)ccc12; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1ccc(Cl)c(Cl)c1; ['Clc1ccc(Br)cc1Cl', 'Clc1ccc(I)cc1Cl', 'Nc1ccc(Cl)c(Cl)c1']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'OCc1c(F)cccc1Cl']; [0.999910593, 0.999910593, 0.999910593]
-Fc1ccc(Oc2ccc(Cl)c(Cl)c2)c(F)c1; ['Fc1ccc(Cl)c(F)c1', 'Clc1ccc(Cl)c(Cl)c1']; ['Oc1ccc(Cl)c(Cl)c1', 'Oc1ccc(F)cc1F']; [0.956753492, 0.956753492]
-Fc1ccc(-c2ccc(Cl)c(Cl)c2)c(Cl)c1; ['Clc1ccc(I)cc1Cl']; ['Fc1ccc(I)c(Cl)c1']; [0.991760492]
-Fc1ccc(Cc2ccc(Cl)c(Cl)c2)cc1; ['Clc1ccccc1Cl', 'Fc1ccccc1']; ['OCc1ccc(F)cc1', 'OCc1ccc(Cl)c(Cl)c1']; [0.99530822, 0.99530822]
-CNC(=O)c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-CCOc1ccccc1-c1c[nH]c2ccc(Cl)cc12; ['CCOc1ccccc1Br']; ['Clc1ccc2[nH]ccc2c1']; [0.974450171]
-O[C@H]1C[C@@H](c2c[nH]c3ccc(Cl)cc23)C1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ccnc4ccccc34)c2c1; ['Clc1ccc2[nH]ccc2c1']; ['Clc1ccnc2ccccc12']; [0.970504284]
-Fc1cc(F)cc(Cc2c[nH]c3ccc(Cl)cc23)c1; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1']; ['Fc1cc(F)cc(CCl)c1', 'OCc1cc(F)cc(F)c1']; [0.993690252, 0.993690252]
-FC(F)(F)c1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; ['Clc1ccc2[nH]ccc2c1']; ['FC(F)(F)c1cccc(Br)c1']; [0.991062522]
-Clc1ccc2[nH]cc(-c3ccccc3Cl)c2c1; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1']; ['Clc1ccccc1I', 'NNc1ccccc1Cl']; [0.990193784, 0.990193784]
-Clc1ccc2[nH]cc(-c3cccnc3)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ccccc3Br)c2c1; ['Brc1ccccc1I', 'Clc1ccc2[nH]ccc2c1']; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccccc1Br']; [0.998053789, 0.998053789]
-Clc1ccc2[nH]cc(-c3cc[nH]n3)c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1c[nH]c2ccc(Cl)cc12; ['Clc1ccc2[nH]ccc2c1']; ['FC(F)(F)Oc1ccccc1Br']; [0.998916268]
-Fc1ccccc1-c1c[nH]c2ccc(Cl)cc12; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1']; ['Fc1ccccc1I', 'Fc1ccccc1Cl']; [0.987874448, 0.987874448]
-Fc1cccc(F)c1-c1c[nH]c2ccc(Cl)cc12; ['Clc1ccc2[nH]ccc2c1']; ['Fc1cccc(F)c1Br']; [0.989281416]
-N#Cc1ccccc1-c1c[nH]c2ccc(Cl)cc12; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1']; ['N#Cc1ccccc1I', 'N#Cc1ccccc1Br']; [0.972285748, 0.972285748]
-NC(=O)c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3cnn(Cc4ccccc4)c3)c2c1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3cnc(-c4ccccc4)[nH]3)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ccncn3)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ccc4c(c3)CCC4)c2c1; ['Clc1ccc2[nH]ccc2c1']; ['NNc1ccc2c(c1)CCC2']; [0.76723516]
-OCCn1cc(-c2c[nH]c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c3ccc(Cl)cc23)c(Br)c1; ['Cc1ccc(NN)c(Br)c1', 'Cc1cccc(Br)c1', 'Cc1ccc(Br)c(Br)c1']; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1']; [0.993409395, 0.993409395, 0.993409395]
-Clc1ccc2[nH]cc(-c3cnc4ccccn34)c2c1; ['Clc1ccc2[nH]ccc2c1']; ['Clc1cnc2ccccn12']; [0.953109562]
-O=C(Nc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1)c1ccccc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2c[nH]c3ccc(Cl)cc23)s1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3c(Cl)cccc3Cl)c2c1; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Nc1c(Cl)cccc1Cl']; [0.999465525, 0.999465525, 0.999465525]
-Clc1ccc2[nH]cc(-c3cnc4cccnn34)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3cnco3)c2c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2c[nH]c3ccc(Cl)cc23)c1; ['Cc1ccc(Cl)c(N)c1']; ['Clc1ccc2[nH]ccc2c1']; [0.952038586]
-Clc1ccc2[nH]cc(OC3CCCCC3)c2c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(NCc3cccnc3)c2c1; [None]; [None]; [0]
-Cc1ncc(-c2c[nH]c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; ['COc1cccc(NN)c1']; ['Clc1ccc2[nH]ccc2c1']; [0.903148413]
-CC(C)(C)Nc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ccc4ccccc4c3)c2c1; ['Brc1ccc2ccccc2c1', 'Clc1ccc2[nH]ccc2c1']; ['Clc1ccc2[nH]ccc2c1', 'Nc1ccc2ccccc2c1']; [0.990077257, 0.990077257]
-Clc1ccc2[nH]cc(-c3cccc(Cl)c3Cl)c2c1; ['Clc1ccc2[nH]ccc2c1']; ['Clc1cccc(Cl)c1Cl']; [0.950200319]
-Nc1nccc(-c2c[nH]c3ccc(Cl)cc23)n1; [None]; [None]; [0]
-C[C@H](CO)Nc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(Nc3cccnc3)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ccc(Cl)s3)c2c1; [None]; [None]; [0]
-O=C(Nc1c[nH]c2ccc(Cl)cc12)c1cccs1; [None]; [None]; [0]
-CC(C)COc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-n3cnc4ccccc43)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3cncc4ccccc34)c2c1; ['Brc1cncc2ccccc12']; ['Clc1ccc2[nH]ccc2c1']; [0.98732239]
-Oc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-Cn1cncc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(Nc3ccncc3)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ccco3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
-OCc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-N#CCCc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3cccs3)c2c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; ['CC(=O)Nc1cccc(Br)c1']; ['Clc1ccc2[nH]ccc2c1']; [0.999160409]
-CC(C)Nc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-CCC(=O)Nc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Fc1ccc(-c2c[nH]c3ccc(Cl)cc23)c(C(F)(F)F)c1; ['Clc1ccc2[nH]ccc2c1']; ['Nc1ccc(F)cc1C(F)(F)F']; [0.987489164]
-Clc1ccc2[nH]cc(-c3cnoc3)c2c1; ['Brc1cnoc1']; ['Clc1ccc2[nH]ccc2c1']; [0.840965629]
-COc1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1Cl; ['COc1ccc(NN)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccccc1Cl']; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1']; [0.931192458, 0.931192458, 0.931192458]
-Cc1cc(-c2c[nH]c3ccc(Cl)cc23)no1; [None]; [None]; [0]
-CCCn1cc(-c2c[nH]c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
-CCOC(=O)Cc1c[nH]c2ccc(Cl)cc12; ['CCO']; ['O=C(O)Cc1c[nH]c2ccc(Cl)cc12']; [0.997399449]
-CC(C)(N)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3c[nH]c4ccc(Cl)cc34)c21; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3c[nH]c4ccc(Cl)cc34)cc12; [None]; [None]; [0]
-CCN(CC)c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-COc1ccncc1Nc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(Nc3cnc4ccccc4c3)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3c[nH]c4ccccc34)c2c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2c[nH]c3ccc(Cl)cc23)C1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3c[nH]c4cnccc34)c2c1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2c[nH]c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2c[nH]c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-n3ncc4ccccc43)c2c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(Cc3ccncc3)c2c1; ['ClCc1ccncc1']; ['Clc1ccc2[nH]ccc2c1']; [0.971032858]
-Oc1ccc2nc(-c3c[nH]c4ccc(Cl)cc34)[nH]c2c1; [None]; [None]; [0]
-Oc1ncccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; ['Clc1ccc2[nH]ccc2c1']; ['O=C(c1ccccc1)c1ccc(Br)cc1']; [0.978443861]
-Clc1ccc2[nH]cc(OC3CCOCC3)c2c1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c3ccc(Cl)cc23)c(OC)c1; ['COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1']; [0.998698592, 0.998698592]
-Nc1nnc(-c2c[nH]c3ccc(Cl)cc23)s1; ['NNC(N)=S']; ['O=C(O)c1c[nH]c2ccc(Cl)cc12']; [0.999889374]
-Nc1ncc(-c2c[nH]c3ccc(Cl)cc23)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1c[nH]c2ccc(Cl)cc12; ['COc1cccc(F)c1Br']; ['Clc1ccc2[nH]ccc2c1']; [0.997887552]
-Clc1ccc2[nH]cc(-n3ccnc3)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3nc4ccccc4s3)c2c1; ['Nc1ccccc1S']; ['O=Cc1c[nH]c2ccc(Cl)cc12']; [0.999998808]
-Nc1nc(-c2c[nH]c3ccc(Cl)cc23)nc2ccccc12; [None]; [None]; [0]
-Cc1cncc(-c2c[nH]c3ccc(Cl)cc23)n1; ['Cc1cncc(Cl)n1']; ['Clc1ccc2[nH]ccc2c1']; [0.99583286]
-Clc1ccc2[nH]cc(Cc3cccnc3)c2c1; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1', 'BrCc1cccnc1']; ['OCc1cccnc1', 'NCc1cccnc1', 'Clc1ccc2[nH]ccc2c1']; [0.998339772, 0.998339772, 0.998339772]
-Clc1ccc2[nH]cc(-c3cccc4ccsc34)c2c1; ['Brc1cccc2ccsc12']; ['Clc1ccc2[nH]ccc2c1']; [0.93647629]
-Clc1ccc2[nH]cc(-c3c[nH]c4cccnc34)c2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1c[nH]c2ccc(Cl)cc12; ['COc1ccc(C#N)cc1Br']; ['Clc1ccc2[nH]ccc2c1']; [0.997675955]
-C[C@@]1(O)CC[C@H](c2c[nH]c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-CC(C)(C)Oc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-CC(C)(C)CNc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Cc1cc(C)cc(-c2c[nH]c3ccc(Cl)cc23)c1; ['Cc1cc(C)cc(N)c1', 'Cc1cc(C)cc(I)c1']; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1']; [0.996546328, 0.996546328]
-COc1ccc(OC)c(-c2c[nH]c3ccc(Cl)cc23)c1; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(N)c1']; ['Clc1ccc2[nH]ccc2c1', 'Clc1ccc2[nH]ccc2c1']; [0.995331347, 0.995331347]
-Clc1ccc2[nH]cc(N3CCC(c4nc5ccccc5[nH]4)CC3)c2c1; [None]; [None]; [0]
-CCOc1ccccc1-c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1']; ['CCOc1ccccc1']; [0.883081615]
-CNC(=O)c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(N3CC=C(c4c[nH]c5ccccc45)CC3)c2c1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2c[nH]c3ccc(Br)cc23)c1; ['Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1']; ['NCc1cc(F)cc(F)c1', 'Fc1cc(F)cc(CBr)c1']; [0.979465425, 0.979465425]
-Brc1ccc2[nH]cc(-c3ccnc4ccccc34)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['Clc1ccnc2ccccc12']; [0.986795545]
-FC(F)(F)c1cccc(-c2c[nH]c3ccc(Br)cc23)c1; ['Brc1ccc2[nH]ccc2c1']; ['Nc1cccc(C(F)(F)F)c1']; [0.957897663]
-O[C@H]1C[C@@H](c2c[nH]c3ccc(Br)cc23)C1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cccnc3)c2c1; [None]; [None]; [0]
-Clc1ccccc1-c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1']; ['Clc1ccccc1Br']; [0.898685277]
-Brc1ccc2[nH]cc(-c3ccccc3Br)c2c1; ['C#Cc1ccccc1Br', 'Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1']; ['O=[N+]([O-])c1ccc(Br)cc1', 'Brc1ccccc1Br', 'NNc1ccccc1Br']; [0.999700665, 0.999700665, 0.999700665]
-FC(F)(F)Oc1ccccc1-c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1']; ['FC(F)(F)Oc1ccccc1']; [0.981081426]
-Brc1ccc2[nH]cc(-c3cc[nH]n3)c2c1; [None]; [None]; [0]
-Fc1ccccc1-c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1']; ['NNc1ccccc1F']; [0.981348455]
-Fc1cccc(F)c1-c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1']; ['Fc1cccc(F)c1Cl', 'Fc1cccc(F)c1I', 'Nc1c(F)cccc1F', 'Fc1cccc(F)c1Br']; [0.997194052, 0.997194052, 0.997194052, 0.997194052]
-N#Cc1ccccc1-c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1']; ['N#Cc1ccccc1I']; [0.977792621]
-NC(=O)c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cnn(Cc4ccccc4)c3)c2c1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cnc(-c4ccccc4)[nH]3)c2c1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3ccncn3)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['Clc1ccncn1']; [0.986841679]
-Brc1ccc2[nH]cc(-c3ccc4c(c3)CCC4)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['NNc1ccc2c(c1)CCC2']; [0.806647658]
-OCCn1cc(-c2c[nH]c3ccc(Br)cc23)cn1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2c[nH]c3ccc(Br)cc23)c1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c3ccc(Br)cc23)c(Br)c1; ['Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Br)c(Br)c1']; [0.997657418, 0.997657418, 0.997657418]
-Brc1ccc2[nH]cc(-c3cnc4ccccn34)c2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2c[nH]c3ccc(Br)cc23)s1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cnco3)c2c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Cl']; [0.99382484, 0.99382484]
-Brc1ccc2[nH]cc(-c3cnc4cccnn34)c2c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2c[nH]c3ccc(Br)cc23)c1; ['Brc1ccc2[nH]ccc2c1']; ['Cc1ccc(Cl)c(Br)c1']; [0.942272127]
-Brc1ccc2[nH]cc(OC3CCCCC3)c2c1; [None]; [None]; [0]
-CC(C)(C)Nc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Clc1cccc(-c2c[nH]c3ccc(Br)cc23)c1Cl; ['Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1']; ['Clc1cccc(I)c1Cl', 'Clc1cccc(Br)c1Cl']; [0.9973104, 0.9973104]
-Brc1ccc2[nH]cc(NCc3cccnc3)c2c1; [None]; [None]; [0]
-Cc1ncc(-c2c[nH]c3ccc(Br)cc23)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; ['Brc1ccc2[nH]ccc2c1']; ['COc1cccc(NN)c1']; [0.833066404]
-Brc1ccc2[nH]cc(-c3ccc4ccccc4c3)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['NNc1ccc2ccccc2c1']; [0.980569482]
-Nc1nccc(-c2c[nH]c3ccc(Br)cc23)n1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(Nc3cccnc3)c2c1; [None]; [None]; [0]
-C[C@H](CO)Nc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Clc1ccc(-c2c[nH]c3ccc(Br)cc23)s1; [None]; [None]; [0]
-CC(C)COc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cncc4ccccc34)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['Brc1cncc2ccccc12']; [0.97807169]
-Brc1ccc2[nH]cc(-n3cnc4ccccc43)c2c1; [None]; [None]; [0]
-O=C(Nc1c[nH]c2ccc(Br)cc12)c1cccs1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Cn1cncc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Oc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
-OCc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3ccco3)c2c1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(Nc3ccncc3)c2c1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cccs3)c2c1; [None]; [None]; [0]
-N#CCCc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c3ccc(Br)cc23)cn1; [None]; [None]; [0]
-CC(C)Nc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Fc1ccc(-c2c[nH]c3ccc(Br)cc23)c(C(F)(F)F)c1; ['Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'NNc1ccc(F)cc1C(F)(F)F', 'Fc1cccc(C(F)(F)F)c1']; [0.999137759, 0.999137759, 0.999137759]
-CC(=O)Nc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c3ccc(Br)cc23)cc1Cl; ['Brc1ccc2[nH]ccc2c1']; ['COc1ccc(N)cc1Cl']; [0.980182409]
-CCC(=O)Nc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-CCCn1cc(-c2c[nH]c3ccc(Br)cc23)cn1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c3ccc(Br)cc23)no1; [None]; [None]; [0]
-CCOC(=O)Cc1c[nH]c2ccc(Br)cc12; []; []; []
-Brc1ccc2[nH]cc(-c3cnoc3)c2c1; ['Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1']; ['c1cnoc1', 'Brc1cnoc1']; [0.859547377, 0.859547377]
-O=C1CCc2cccc(-c3c[nH]c4ccc(Br)cc34)c21; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3c[nH]c4ccc(Br)cc34)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
-CCN(CC)c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3c[nH]c4ccccc34)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['c1ccc2[nH]ccc2c1']; [0.820251524]
-Brc1ccc2[nH]cc(Nc3cnc4ccccc4c3)c2c1; [None]; [None]; [0]
-COc1ccncc1Nc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3c[nH]c4cnccc34)c2c1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2c[nH]c3ccc(Br)cc23)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2c[nH]c3ccc(Br)cc23)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2c[nH]c3ccc(Br)cc23)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-n3ncc4ccccc43)c2c1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(Cc3ccncc3)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['ClCc1ccncc1']; [0.988710582]
-Oc1ncccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c3ccc(Br)cc23)c(OC)c1; ['Brc1ccc2[nH]ccc2c1']; ['COc1cccc(OC)c1']; [0.824195087]
-Brc1ccc2[nH]cc(-n3ccnc3)c2c1; [None]; [None]; [0]
-Oc1ccc2nc(-c3c[nH]c4ccc(Br)cc34)[nH]c2c1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(OC3CCOCC3)c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; ['Brc1ccc2[nH]ccc2c1']; ['O=C(c1ccccc1)c1ccc(Br)cc1']; [0.808082104]
-Cc1cncc(-c2c[nH]c3ccc(Br)cc23)n1; ['Brc1ccc2[nH]ccc2c1']; ['Cc1cncc(Cl)n1']; [0.997514]
-Nc1nnc(-c2c[nH]c3ccc(Br)cc23)s1; ['NNC(N)=S']; ['O=C(O)c1c[nH]c2ccc(Br)cc12']; [0.999871254]
-Nc1ncc(-c2c[nH]c3ccc(Br)cc23)s1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cccc4ccsc34)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['Brc1cccc2ccsc12']; [0.891001701]
-Brc1ccc2[nH]cc(-c3nc4ccccc4s3)c2c1; ['Nc1ccccc1S']; ['O=Cc1c[nH]c2ccc(Br)cc12']; [0.999992609]
-COc1ccc(C#N)cc1-c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1']; ['COc1ccc(C#N)cc1Br']; [0.985463798]
-COc1cccc(F)c1-c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1']; ['COc1cccc(F)c1Br']; [0.988831758]
-Brc1ccc2[nH]cc(-c3c[nH]c4cccnc34)c2c1; [None]; [None]; [0]
-Nc1nc(-c2c[nH]c3ccc(Br)cc23)nc2ccccc12; [None]; [None]; [0]
-CC(C)(C)Oc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(Cc3cccnc3)c2c1; ['Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1', 'Brc1ccc2[nH]ccc2c1']; ['OCc1cccnc1', 'NCc1cccnc1', 'O=Cc1cccnc1']; [0.996923745, 0.996923745, 0.996923745]
-COc1ccc(OC)c(-c2c[nH]c3ccc(Br)cc23)c1; ['Brc1ccc2[nH]ccc2c1']; ['COc1ccc(OC)cc1']; [0.797550559]
-CC(C)(C)CNc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Cc1cc(C)cc(-c2c[nH]c3ccc(Br)cc23)c1; ['Brc1ccc2[nH]ccc2c1']; ['Cc1cc(C)cc(I)c1']; [0.923588]
-O=C1Nc2ccc(Cl)cc2C1=Cc1ccccn1; ['O=C1Cc2cc(Cl)ccc2N1']; ['O=Cc1ccccn1']; [0.999749243]
-C[C@@]1(O)CC[C@H](c2c[nH]c3ccc(Br)cc23)CC1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(N3CC=C(c4c[nH]c5ccccc45)CC3)c2c1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(N3CCC(c4nc5ccccc5[nH]4)CC3)c2c1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c([C@@H]3C[C@H](O)C3)cc12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccnc4ccccc34)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cc[nH]n3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(Cc3cc(F)cc(F)c3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccnc3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccccc3F)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccccc3Br)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccccc3Cl)cc12; [None]; [None]; [0]
-N#Cc1ccccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccccc3C(N)=O)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccccc3OC(F)(F)F)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnn(Cc4ccccc4)c3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccncn3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3c(F)cccc3F)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc(NC(=O)c4ccccc4)c3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c([C@@H](N)c3ccco3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnn(CCO)c3)cc12; [None]; [None]; [0]
-Cc1ccc(-c2cc3c(C#N)ccnc3[nH]2)c(Br)c1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnco3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccc4c(c3)CCC4)cc12; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc3c(C#N)ccnc3[nH]2)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-CC(C)(C)Nc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnc4ccccn34)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc(Cl)c3Cl)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(OC3CCCCC3)cc12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccnc(N)n3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(NCc3cccnc3)cc12; [None]; [None]; [0]
-Cc1ncc(-c2cc3c(C#N)ccnc3[nH]2)[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccc(Cl)s3)cc12; [None]; [None]; [0]
-COc1cccc(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-n3cnc4ccccc43)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccc4ccccc4c3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(Nc3cccnc3)cc12; [None]; [None]; [0]
-C[C@H](CO)Nc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-CC(C)COc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(NC(=O)c3cccs3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc(CO)c3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cncc4ccccc34)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc(O)c3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccs3)cc12; [None]; [None]; [0]
-Cn1cncc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-CC(C)Nc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(Nc3ccncc3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccco3)cc12; [None]; [None]; [0]
-Cn1cc(-c2cc3c(C#N)ccnc3[nH]2)cn1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccc(F)cc3C(F)(F)F)cc12; [None]; [None]; [0]
-N#CCCc1cccc(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1Cl; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
-CCC(=O)Nc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnoc3)cc12; [None]; [None]; [0]
-Cc1cc(-c2cc3c(C#N)ccnc3[nH]2)no1; [None]; [None]; [0]
-CCCn1cc(-c2cc3c(C#N)ccnc3[nH]2)cn1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc4c3C(=O)CC4)cc12; [None]; [None]; [0]
-CCOC(=O)Cc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-CCN(CC)c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cc4c(=O)[nH]ccc4o3)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
-COc1ccncc1Nc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(Nc3cnc4ccccc4c3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c([C@H](CO)Cc3ccccc3)cc12; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cc3c(C#N)ccnc3[nH]2)C1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3c[nH]c4cnccc34)cc12; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cc3c(C#N)ccnc3[nH]2)CC1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c([C@H]3COCC[C@@H]3C#N)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c([C@@H]3CC[C@@H](C#N)CC3)cc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-n3ncc4c(O)cccc43)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-n3ncc4ccccc43)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc(F)c3C(N)=O)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3nc4ccc(O)cc4[nH]3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(Cc3ccncc3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccc(C(=O)c4ccccc4)cc3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccnc3O)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(OC3CCOCC3)cc12; [None]; [None]; [0]
-COc1ccc(-c2cc3c(C#N)ccnc3[nH]2)c(OC)c1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnc(N)s3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3nnc(N)s3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3nc4ccccc4s3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-n3ccnc3)cc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cncc(-c2cc3c(C#N)ccnc3[nH]2)n1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3c[nH]c4cccnc34)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3nc(N)c4ccccc4n3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc4ccsc34)cc12; [None]; [None]; [0]
-CC(C)(C)Oc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(Cc3cccnc3)cc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
-CC(C)(C)CNc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cc3c(C#N)ccnc3[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(N3CC=C(c4c[nH]c5ccccc45)CC3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(N3CCC(c4nc5ccccc5[nH]4)CC3)cc12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
-CCOc1ccccc1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['CCOc1ccccc1B(O)O']; [0.999771297]
-O[C@H]1C[C@@H](c2cccc3sccc23)C1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cccc3sccc23)c1; ['Brc1cccc2sccc12']; ['Fc1cc(F)cc(CCl)c1']; [0.999864697]
-c1cc(-c2cc[nH]n2)c2ccsc2c1; [None]; [None]; [0]
-c1ccc2c(-c3cccc4sccc34)ccnc2c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999905229]
-c1cncc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12']; ['OB(O)c1cccnc1']; [0.999016643]
-Clc1ccccc1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['Clc1ccccc1I']; [0.999123871]
-FC(F)(F)Oc1ccccc1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999853969]
-Fc1ccccc1-c1cccc2sccc12; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12']; ['CC1(C)OB(c2ccccc2F)OC1(C)C', 'Fc1ccccc1I']; [0.999902, 0.999902]
-N#Cc1ccccc1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['N#Cc1ccccc1B(O)O']; [0.976360559]
-Brc1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cccc4sccc34)cn2)cc1; ['Brc1cccc2sccc12']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; [0.999986649]
-Fc1cccc(F)c1-c1cccc2sccc12; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12', 'Clc1cccc2sccc12', 'Fc1cccc(F)c1Br']; ['OB(O)c1c(F)cccc1F', 'Fc1cccc(F)c1', 'Fc1cccc(F)c1', 'c1ccc2sccc2c1']; [0.999528885, 0.999528885, 0.999528885, 0.999528885]
-c1cc(-c2ccncn2)c2ccsc2c1; ['Brc1cccc2sccc12']; ['c1cncnc1']; [0.99886167]
-NC(=O)c1ccccc1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['NC(=O)c1ccccc1I']; [0.99147135]
-N[C@@H](c1ccco1)c1cccc2sccc12; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cccc4sccc34)[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cccc3sccc23)c1)c1ccccc1; [None]; [None]; [0]
-OCCn1cc(-c2cccc3sccc23)cn1; ['Brc1cccc2sccc12']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; [0.99999845]
-c1cc(-c2ccc3c(c2)CCC3)c2ccsc2c1; [None]; [None]; [0]
-c1cc(-c2cnc3ccccn23)c2ccsc2c1; ['Brc1cccc2sccc12']; ['O=C(O)c1cnc2ccccn12']; [0.994749367]
-c1cc(-c2cnco2)c2ccsc2c1; [None]; [None]; [0]
-c1cc(-c2cnc3cccnn23)c2ccsc2c1; ['Brc1cccc2sccc12']; ['c1cnn2ccnc2c1']; [0.999983311]
-Cc1ccc(-c2cccc3sccc23)c(Br)c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cccc3sccc23)s1; ['Brc1cccc2sccc12']; ['Cc1csc(C)n1']; [0.988231838]
-c1cc(OC2CCCCC2)c2ccsc2c1; ['Brc1cccc2sccc12']; ['OC1CCCCC1']; [0.930751264]
-Cc1nc(N)sc1-c1cccc2sccc12; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.998614073]
-Cc1ccc(Cl)c(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.998719931]
-CC(C)(C)Nc1cccc2sccc12; ['CC(C)(C)N']; ['Clc1cccc2sccc12']; [0.984117091]
-c1cncc(CNc2cccc3sccc23)c1; ['Clc1cccc2sccc12', 'Nc1cccc2sccc12', 'BrCc1cccnc1']; ['NCc1cccnc1', 'O=Cc1cccnc1', 'Nc1cccc2sccc12']; [0.999891639, 0.999891639, 0.999891639]
-Cc1ncc(-c2cccc3sccc23)[nH]1; [None]; [None]; [0]
-c1ccc2cc(-c3cccc4sccc34)ccc2c1; ['Clc1cccc2sccc12']; ['OB(O)c1ccc2ccccc2c1']; [0.999954343]
-COc1cccc(-c2cccc3sccc23)c1; ['COc1cccc(B(O)O)c1']; ['Clc1cccc2sccc12']; [0.999798357]
-Clc1cccc(-c2cccc3sccc23)c1Cl; ['Brc1cccc2sccc12']; ['OB(O)c1cccc(Cl)c1Cl']; [0.996083379]
-c1cncc(Nc2cccc3sccc23)c1; ['Brc1cccc2sccc12', 'Clc1cccc2sccc12', 'Clc1cccnc1']; ['Nc1cccnc1', 'Nc1cccnc1', 'Nc1cccc2sccc12']; [0.999932289, 0.999932289, 0.999932289]
-C[C@H](CO)Nc1cccc2sccc12; ['Brc1cccc2sccc12']; ['C[C@@H](N)CO']; [0.994232476]
-CC(C)COc1cccc2sccc12; ['Brc1cccc2sccc12']; ['CC(C)CO']; [0.990089893]
-Nc1nccc(-c2cccc3sccc23)n1; [None]; [None]; [0]
-O=C(Nc1cccc2sccc12)c1cccs1; ['Nc1cccc2sccc12', 'Brc1cccc2sccc12']; ['O=C(Cl)c1cccs1', 'NC(=O)c1cccs1']; [0.998799562, 0.998799562]
-c1ccc2c(-c3cccc4sccc34)cncc2c1; ['Brc1cccc2sccc12']; ['OB(O)c1cncc2ccccc12']; [0.998969316]
-Clc1ccc(-c2cccc3sccc23)s1; ['Clc1cccc2sccc12']; ['Clc1cccs1']; [0.990212262]
-c1ccc2c(c1)ncn2-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['c1ccc2[nH]cnc2c1']; [0.988500357]
-Oc1cccc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1']; [0.999993324, 0.999993324]
-Cn1cncc1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['Cn1ccnc1']; [0.955800056]
-c1cc(Nc2ccncc2)c2ccsc2c1; ['Brc1cccc2sccc12', 'Brc1ccncc1']; ['Nc1ccncc1', 'Nc1cccc2sccc12']; [0.999730885, 0.999730885]
-c1coc(-c2cccc3sccc23)c1; ['Nc1cccc2sccc12']; ['c1ccoc1']; [0.957298219]
-C[C@@H](O)[C@@H](C)Oc1cccc2sccc12; ['Brc1cccc2sccc12']; ['C[C@@H](O)[C@@H](C)O']; [0.966060221]
-Cn1cc(-c2cccc3sccc23)cn1; ['Brc1cccc2sccc12']; ['Cn1cc(B(O)O)cn1']; [0.999839425]
-OCc1cccc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12', 'Clc1cccc2sccc12']; ['OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1']; [0.999393225, 0.999393225]
-c1csc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12']; ['c1ccsc1']; [0.982272]
-N#CCCc1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12']; ['CC(=O)Nc1cccc(B(O)O)c1']; [0.999329925]
-CCC(=O)Nc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-CCC(=O)Nc1cccc2sccc12; ['CCC(=O)O', 'CCOC(=O)CC']; ['Nc1cccc2sccc12', 'Nc1cccc2sccc12']; [0.998894155, 0.998894155]
-CC(C)Nc1cccc2sccc12; ['CC(C)N', 'CC(C)=O']; ['Clc1cccc2sccc12', 'Nc1cccc2sccc12']; [0.986607671, 0.986607671]
-Fc1ccc(-c2cccc3sccc23)c(C(F)(F)F)c1; ['Brc1cccc2sccc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999554098]
-COc1ccc(-c2cccc3sccc23)cc1Cl; ['Brc1cccc2sccc12']; ['COc1ccc(B(O)O)cc1Cl']; [0.999803364]
-Cc1cc(-c2cccc3sccc23)no1; [None]; [None]; [0]
-c1cc(-c2cnoc2)c2ccsc2c1; [None]; [None]; [0]
-CCCn1cc(-c2cccc3sccc23)cn1; ['Brc1cccc2sccc12']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999999285]
-O=C1CCc2cccc(-c3cccc4sccc34)c21; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1cccc2sccc12; ['Brc1cccc2sccc12']; ['CCOC(=O)CC(=O)OCC']; [0.8261801]
-C[S@](=O)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['CS(=O)c1ccc(B(O)O)cc1']; [0.999441206]
-O=c1[nH]ccc2oc(-c3cccc4sccc34)cc12; ['Brc1cccc2sccc12']; ['O=c1[nH]ccc2occc12']; [0.978044331]
-CCN(CC)c1cccc2sccc12; []; []; []
-c1ccc2ncc(Nc3cccc4sccc34)cc2c1; ['Brc1cnc2ccccc2c1']; ['Nc1cccc2sccc12']; [0.994158506]
-c1ccc2c(-c3cccc4sccc34)c[nH]c2c1; [None]; [None]; [0]
-COc1ccncc1Nc1cccc2sccc12; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cccc3sccc23)C1; [None]; [None]; [0]
-c1cc(-c2c[nH]c3cnccc23)c2ccsc2c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cccc2sccc12; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccc2sccc12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999783337]
-N#CC[C@@H]1CC[C@@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [0.972811818]
-NC(=O)c1c(F)cccc1-c1cccc2sccc12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cccc2sccc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-Oc1ncccc1-c1cccc2sccc12; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['c1ccc2[nH]ncc2c1']; [0.999883294]
-c1cc(Cc2ccncc2)c2ccsc2c1; [None]; [None]; [0]
-COc1ccc(-c2cccc3sccc23)c(OC)c1; ['Brc1cccc2sccc12']; ['COc1ccc(I)c(OC)c1']; [0.999527931]
-c1cc(-n2ccnc2)c2ccsc2c1; ['Brc1cccc2sccc12']; ['c1c[nH]cn1']; [0.997602761]
-c1cc(OC2CCOCC2)c2ccsc2c1; ['Clc1cccc2sccc12']; ['OC1CCOCC1']; [0.988679588]
-Oc1ccc2nc(-c3cccc4sccc34)[nH]c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['O=C(c1ccccc1)c1ccc(I)cc1']; [0.998899102]
-Nc1nnc(-c2cccc3sccc23)s1; [None]; [None]; [0]
-Cc1cncc(-c2cccc3sccc23)n1; [None]; [None]; [0]
-c1ccc2sc(-c3cccc4sccc34)nc2c1; ['Brc1cccc2sccc12']; ['c1ccc2scnc2c1']; [0.999119461]
-Nc1ncc(-c2cccc3sccc23)s1; ['Brc1cccc2sccc12']; ['Nc1nccs1']; [0.87149328]
-COc1cccc(F)c1-c1cccc2sccc12; ['COc1cccc(F)c1Br', 'Brc1cccc2sccc12']; ['c1ccc2sccc2c1', 'COc1cccc(F)c1']; [0.997536302, 0.997536302]
-c1cc(-c2cccc3sccc23)c2sccc2c1; [None]; [None]; [0]
-c1cnc2c(-c3cccc4sccc34)c[nH]c2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['COc1ccc(C#N)cc1Br']; [0.982572079]
-CC(C)(C)CNc1cccc2sccc12; ['Brc1cccc2sccc12', 'CC(C)(C)CN']; ['CC(C)(C)CN', 'Clc1cccc2sccc12']; [0.999628067, 0.999628067]
-Nc1nc(-c2cccc3sccc23)nc2ccccc12; [None]; [None]; [0]
-CC(C)(C)Oc1cccc2sccc12; [None]; [None]; [0]
-c1cncc(Cc2cccc3sccc23)c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccc3sccc23)c1; ['Cc1cccc(C)c1']; ['Clc1cccc2sccc12']; [0.985669255]
-COc1ccc(OC)c(-c2cccc3sccc23)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Clc1cccc2sccc12']; [0.996324956]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cccc3sccc23)C1; ['Brc1cccc2sccc12']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.999979496]
-N#Cc1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12']; ['N#Cc1ccc(B(O)O)cc1', 'N#Cc1ccc(Br)cc1']; [0.999967217, 0.999967217]
-C[C@@]1(O)CC[C@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(c4cccc5sccc45)CC3)nc2c1; ['Brc1cccc2sccc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999691129]
-Cc1n[nH]cc1-c1cccc2sccc12; [None]; [None]; [0]
-CCOc1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['CCOc1ccc(B(O)O)cc1']; [0.99991]
-CS(=O)(=O)c1cccc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12', 'CS(=O)(=O)c1cccc(Br)c1']; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'c1ccc2sccc2c1']; [0.999999881, 0.999999881, 0.999999881]
-COc1ncccc1-c1cccc2sccc12; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cccc2sccc12; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12']; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccn(C)n1']; [0.999906063, 0.999906063]
-Cn1nncc1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['Cn1ccnn1']; [0.999878764]
-COc1ccc(-c2cccc3sccc23)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc([Mg]Br)cc1']; ['Clc1cccc2sccc12', 'Clc1cccc2sccc12']; [0.999339759, 0.999339759]
-COc1cc(-c2cccc3sccc23)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['Clc1cccc2sccc12']; [0.999616265]
-NC(=O)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999877214]
-Cc1cc(Nc2cccc3sccc23)sn1; ['Cc1cc(N)sn1']; ['Nc1cccc2sccc12']; [0.978529871]
-c1ccc2[nH]c(-c3cccc4sccc34)nc2c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999999642, 0.999999642]
-O=C(Nc1cccc2sccc12)C1CC1; ['Nc1cccc2sccc12']; ['O=C(Cl)C1CC1']; [0.999966264]
-c1ccc2c(Cc3cccc4sccc34)nccc2c1; [None]; [None]; [0]
-Clc1ccc(-c2cccc3sccc23)cc1; ['Clc1cccc2sccc12']; ['OB(O)c1ccc(Cl)cc1']; [0.995294034]
-c1cnc(Nc2cccc3sccc23)nc1; [None]; [None]; [0]
-Fc1cccc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12']; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C', 'OB(O)c1cccc(F)c1']; [0.999997, 0.999997]
-c1cc(Nc2ccncn2)c2ccsc2c1; ['Clc1ccncn1']; ['Nc1cccc2sccc12']; [0.999990463]
-OCCOc1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C']; [0.999999762]
-c1cc(-c2cccc3sccc23)cc(C2CCNCC2)c1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.999928474]
-Cc1cc(-c2cccc3sccc23)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12', 'CN(C)c1ccc(B(O)O)cc1']; ['CN(C)c1ccc(B(O)O)cc1', 'Clc1cccc2sccc12']; [0.9998703, 0.9998703]
-OC[C@@H](O)Cc1cccc2sccc12; [None]; [None]; [0]
-Clc1ncc(-c2cccc3sccc23)cn1; ['Brc1cccc2sccc12']; ['OB(O)c1cnc(Cl)nc1']; [0.999238372]
-Brc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-COc1ccc(Cc2cccc3sccc23)cc1; ['COc1ccc(CCl)cc1']; ['Clc1cccc2sccc12']; [0.981281221]
-Oc1ccccc1Cc1cccc2sccc12; [None]; [None]; [0]
-c1cc(-c2cn[nH]c2)c2ccsc2c1; ['Clc1cccc2sccc12']; ['OB(O)c1cn[nH]c1']; [0.997529447]
-c1cc(-c2cncnc2)c2ccsc2c1; ['Brc1cccc2sccc12']; ['OB(O)c1cncnc1']; [0.995146573]
-COc1ccc(Cl)cc1-c1cccc2sccc12; ['Brc1cccc2sccc12', 'COc1ccc(Cl)cc1[Mg]Br', 'COc1ccc(Cl)cc1B(O)O']; ['COc1ccc(Cl)cc1B(O)O', 'O=C1CCCc2sccc21', 'Clc1cccc2sccc12']; [0.999254048, 0.999254048, 0.999254048]
-c1cc(-c2ccc3c(c2)CCO3)c2ccsc2c1; ['Brc1cccc2sccc12']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C']; [0.999996781]
-c1c[nH]c(-c2cccc3sccc23)c1; [None]; [None]; [0]
-COc1cc(-c2cccc3sccc23)ccc1O; [None]; [None]; [0]
-c1cc(Cn2ccnc2)c2ccsc2c1; [None]; [None]; [0]
-Fc1ccc(-c2cccc3sccc23)cc1F; ['Brc1cccc2sccc12']; ['OB(O)c1ccc(F)c(F)c1']; [0.999995828]
-c1ccc2cc(-c3cccc4sccc34)ncc2c1; [None]; [None]; [0]
-c1cc(-c2scc3c2OCCO3)c2ccsc2c1; ['Brc1cccc2sccc12']; ['c1scc2c1OCCO2']; [0.995414257]
-c1ccc2ncc(-c3cccc4sccc34)cc2c1; ['Brc1cccc2sccc12']; ['OB(O)c1cnc2ccccc2c1']; [0.999810278]
-c1cc2c(c(-c3cccc4sccc34)c1)OCO2; [None]; [None]; [0]
-COCCOc1cccc2sccc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc([Mg]Br)cc1']; ['CC(C)(C)c1ccc(B(O)O)cc1', 'Clc1cccc2sccc12', 'Clc1cccc2sccc12']; [0.999960542, 0.999960542, 0.999960542]
-CSc1cccc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12', 'CSc1cccc(B(O)O)c1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'Clc1cccc2sccc12']; [0.999999881, 0.999999881, 0.999999881]
-CC1(COc2cccc3sccc23)COC1; ['Brc1cccc2sccc12']; ['CC1(CO)COC1']; [0.993397474]
-Cc1cc(-c2cccc3sccc23)nc(N)n1; [None]; [None]; [0]
-Fc1ccc(-c2cccc3sccc23)c(Cl)c1; ['Clc1cccc2sccc12']; ['Fc1cccc(Cl)c1']; [0.836185932]
-O[C@@H]1CC[C@H](c2cccc3sccc23)C1; [None]; [None]; [0]
-COc1ccc(-c2cccc3sccc23)cc1OC; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12', 'COc1ccc(B(O)O)cc1OC']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'Clc1cccc2sccc12']; [0.999999046, 0.999999046, 0.999999046]
-O[C@@H]1CC[C@@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
-Clc1ccc(-c2cccc3sccc23)c(Cl)c1; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12']; ['Clc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl']; [0.999584377, 0.999584377]
-CCc1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12', 'CCc1ccc(B(O)O)cc1']; ['CCc1ccc(B(O)O)cc1', 'Clc1cccc2sccc12']; [0.999309182, 0.999309182]
-c1cc(-c2ccsc2)c2ccsc2c1; ['Brc1cccc2sccc12', 'Clc1cccc2sccc12', 'Brc1cccc2sccc12']; ['OB(O)c1ccsc1', 'OB(O)c1ccsc1', 'Brc1ccsc1']; [0.999990106, 0.999990106, 0.999990106]
-Brc1cnc(-c2cccc3sccc23)nc1; [None]; [None]; [0]
-COc1ccc(CNc2cccc3sccc23)cc1; ['COc1ccc(CBr)cc1', 'Brc1cccc2sccc12', 'COc1ccc(C=O)cc1']; ['Nc1cccc2sccc12', 'COc1ccc(CN)cc1', 'Nc1cccc2sccc12']; [0.998546243, 0.998546243, 0.998546243]
-COc1ccc2cccc(-c3cccc4sccc34)c2c1; [None]; [None]; [0]
-COc1cc(-c2cccc3sccc23)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['Clc1cccc2sccc12']; [0.998726666]
-Oc1ccc2cccc(-c3cccc4sccc34)c2c1; [None]; [None]; [0]
-Cc1nc(Nc2cccc3sccc23)sc1C; ['Brc1cccc2sccc12']; ['Cc1nc(N)sc1C']; [0.999962568]
-Cn1cc(-c2cccc3sccc23)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3sccc23)o1; ['Brc1cccc2sccc12', 'Cc1ccco1']; ['Cc1ccc(B(O)O)o1', 'Nc1cccc2sccc12']; [0.997457683, 0.997457683]
-COc1cc(F)c(-c2cccc3sccc23)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cccc3sccc23)c(OC)cc1Br; [None]; [None]; [0]
-c1cc(-c2ccc3cn[nH]c3c2)c2ccsc2c1; ['Brc1cccc2sccc12']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; [0.999999881]
-CC(C)Oc1cccc2sccc12; [None]; [None]; [0]
-c1ccc2oc(-c3cccc4sccc34)cc2c1; ['Clc1cccc2sccc12', 'Brc1cccc2sccc12', 'Nc1cccc2sccc12']; ['c1ccc2occc2c1', 'c1ccc2occc2c1', 'c1ccc2occc2c1']; [0.9925372, 0.9925372, 0.9925372]
-Cc1cc(Nc2cccc3sccc23)nn1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999999642]
-FC(F)(F)Oc1ccc(-c2cccc3sccc23)cc1; ['Clc1cccc2sccc12']; ['FC(F)(F)Oc1ccccc1']; [0.888017714]
-COc1cc(OC)cc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12', 'COc1cc(OC)cc(B(O)O)c1', 'Brc1cccc2sccc12']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1cccc2sccc12', 'COc1cc(I)cc(OC)c1']; [0.999999046, 0.999999046, 0.999999046]
-CCn1cc(-c2cccc3sccc23)cn1; ['Brc1cccc2sccc12']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999998689]
-Cc1ccc(-c2cccc3sccc23)nc1C; ['Brc1cccc2sccc12']; ['Cc1cccnc1C']; [0.753978312]
-COC(=O)Nc1cccc2sccc12; ['COC(=O)Cl']; ['Nc1cccc2sccc12']; [0.999517679]
-c1cc(-c2cscn2)c2ccsc2c1; ['Brc1cccc2sccc12']; ['c1cscn1']; [0.800289392]
-COc1cc(N2CCNCC2)ccc1-c1cccc2sccc12; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
-Fc1ccc(Nc2cccc3sccc23)nc1; ['Fc1ccc(Cl)nc1']; ['Nc1cccc2sccc12']; [0.999919653]
-CCc1cccc(-c2cccc3sccc23)n1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc(C#N)c1; ['CNC(=O)c1ccccc1']; ['N#Cc1cccc(Cl)c1']; [0.972587287]
-CS(=O)(=O)c1ccc(Cl)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
-OCCc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-N#Cc1cccc(Cc2cc(F)cc(F)c2)c1; ['N#Cc1cccc(CBr)c1', 'Fc1cc(F)cc(CBr)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1', 'Fc1cccc(F)c1']; ['OB(O)c1cc(F)cc(F)c1', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Br)c1', 'N#Cc1cccc(CBr)c1']; [0.99994123, 0.99994123, 0.99994123, 0.99994123]
-c1ccc(Nc2cccc3sccc23)nc1; ['Clc1ccccn1']; ['Nc1cccc2sccc12']; [0.999388337]
-N#Cc1cccc([C@@H]2C[C@H](O)C2)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1cccc(C#N)c1; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1[Mg]Br']; ['N#Cc1cccc(Br)c1', 'N#Cc1cccc(I)c1', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Br)c1']; [0.999875069, 0.999875069, 0.999875069, 0.999875069]
-N#Cc1cccc(-c2ccnc3ccccc23)c1; ['Clc1ccnc2ccccc12', 'N#Cc1cccc(Br)c1']; ['N#Cc1cccc(Br)c1', 'OB(O)c1ccnc2ccccc12']; [0.997009, 0.997009]
-N#Cc1cccc(-c2cc[nH]n2)c1; []; []; []
-N#Cc1cccc(-c2cccc(C(F)(F)F)c2)c1; ['FC(F)(F)c1cccc(I)c1']; ['N#Cc1cccc(I)c1']; [0.927905202]
-N#Cc1cccc(-c2ccccc2Cl)c1; ['Clc1ccccc1I']; ['N#Cc1cccc(I)c1']; [0.99142766]
-N#Cc1cccc(-c2cccnc2)c1; ['N#Cc1cccc(Br)c1', 'N#Cc1cccc(Br)c1']; ['OB(O)c1cccnc1', 'O=C([O-])c1cccnc1']; [0.999867201, 0.999867201]
-N#Cc1cccc(-c2ccccc2F)c1; ['Fc1ccccc1I', 'N#Cc1cccc(Br)c1', 'Fc1ccccc1Br', 'Fc1ccccc1Br']; ['N#Cc1cccc(Br)c1', 'OB(O)c1ccccc1F', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(I)c1']; [0.999967694, 0.999967694, 0.999967694, 0.999967694]
-N#Cc1cccc(-c2ccccc2Br)c1; ['Brc1ccccc1Br', 'N#Cc1cccc(Cl)c1', 'Clc1ccccc1Br', 'Brc1ccccc1Br', 'Brc1ccccc1I']; ['CC1(C)OB(c2cccc(C#N)c2)OC1(C)C', 'OB(O)c1ccccc1Br', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(I)c1', 'N#Cc1cccc(Br)c1']; [0.999653459, 0.999653459, 0.999653459, 0.999653459, 0.999653459]
-N#Cc1cccc(-c2ccccc2OC(F)(F)F)c1; ['FC(F)(F)Oc1ccccc1Br']; ['N#Cc1cccc(Br)c1']; [0.990132332]
-N#Cc1cccc(-c2ccccc2C#N)c1; ['N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Cl)c1', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Br)c1']; ['N#Cc1ccccc1Br', 'N#Cc1ccccc1B(O)O', 'N#Cc1ccccc1Cl', 'N#Cc1ccccc1B(O)O']; [0.999879837, 0.999879837, 0.999879837, 0.999879837]
-N#Cc1cccc(-c2cnn(Cc3ccccc3)c2)c1; ['Brc1cnn(Cc2ccccc2)c1', 'Ic1cnn(Cc2ccccc2)c1']; ['CC1(C)OB(c2cccc(C#N)c2)OC1(C)C', 'N#Cc1cccc(B(O)O)c1']; [0.99999249, 0.99999249]
-N#Cc1cccc(-c2ccncn2)c1; ['CC(=O)c1cccc(C#N)c1']; ['O=CNC(NC=O)NC=O']; [0.999562204]
-N#Cc1cccc(-c2c(F)cccc2F)c1; ['CC1(C)OB(c2cccc(C#N)c2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2F)OC1(C)C', 'CC1(C)COB(c2cccc(C#N)c2)OC1', 'Fc1cccc(F)c1', 'Fc1cccc(F)c1I']; ['Fc1cccc(F)c1Br', 'N#Cc1cccc(Br)c1', 'O=C(O)c1c(F)cccc1F', 'N#Cc1cccc(I)c1', 'N#Cc1ccccc1']; [0.999998808, 0.999998808, 0.999998808, 0.999998808, 0.999998808]
-N#Cc1cccc(-c2ccccc2C(N)=O)c1; ['CC1(C)OB(c2cccc(C#N)c2)OC1(C)C', 'N#Cc1cccc(B(O)O)c1']; ['NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1Cl']; [0.999980211, 0.999980211]
-N#Cc1cccc(-c2cccc(NC(=O)c3ccccc3)c2)c1; ['N#Cc1cccc(-c2cccc(N)c2)c1', 'N#Cc1cccc(-c2cccc(N)c2)c1']; ['O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1']; [0.999959111, 0.999959111]
-N#Cc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
-N#Cc1cccc([C@@H](N)c2ccco2)c1; [None]; [None]; [0]
-N#Cc1cccc(-c2cnco2)c1; []; []; []
-N#Cc1cccc(-c2ccc3c(c2)CCC3)c1; ['Ic1ccc2c(c1)CCC2']; ['N#Cc1cccc(I)c1']; [0.991604149]
-N#Cc1cccc(-c2cnn(CCO)c2)c1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['N#Cc1cccc(Br)c1']; [0.999996662]
-Cc1ccc(-c2cccc(C#N)c2)c(Br)c1; ['Cc1ccc(Br)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(I)c(Br)c1']; ['N#Cc1cccc(I)c1', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Br)c1']; [0.979547441, 0.979547441, 0.979547441]
-N#Cc1cccc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
-N#Cc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'N#Cc1cccc(Br)c1']; ['N#Cc1cccc(B(O)O)c1', 'c1cnn2ccnc2c1']; [0.999999166, 0.999999166]
-Cc1nc(C)c(-c2cccc(C#N)c2)s1; ['Cc1nc(C)c(Br)s1', 'Cc1csc(C)n1']; ['N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Br)c1']; [0.999654293, 0.999654293]
-N#Cc1cccc(OC2CCCCC2)c1; ['N#Cc1cccc(Cl)c1']; ['OC1CCCCC1']; [0.999109685]
-Cc1nc(N)sc1-c1cccc(C#N)c1; [None]; [None]; [0]
-N#Cc1cccc(-c2c(Cl)cccc2Cl)c1; ['Clc1cccc(Cl)c1I']; ['N#Cc1cccc(I)c1']; [0.99383378]
-CC(C)(C)Nc1cccc(C#N)c1; ['CC(C)(C)N', 'CC(C)(C)N']; ['N#Cc1cccc(Br)c1', 'N#Cc1cccc(F)c1']; [0.890942514, 0.890942514]
-N#Cc1cccc(NCc2cccnc2)c1; ['CC1(C)OB(c2cccc(C#N)c2)OC1(C)C']; ['NCc1cccnc1']; [0.999924421]
-N#Cc1cccc(-c2cccc(Cl)c2Cl)c1; ['N#Cc1cccc(Br)c1', 'N#Cc1cccc(Cl)c1', 'Clc1cccc(Br)c1Cl', 'Clc1cccc(Cl)c1Cl']; ['OB(O)c1cccc(Cl)c1Cl', 'OB(O)c1cccc(Cl)c1Cl', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(B(O)O)c1']; [0.998499036, 0.998499036, 0.998499036, 0.998499036]
-Cc1ccc(Cl)c(-c2cccc(C#N)c2)c1; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1']; ['N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Br)c1', 'N#Cc1cccc(I)c1']; [0.999510884, 0.999510884, 0.999510884]
-N#Cc1cccc(-c2ccnc(N)n2)c1; ['CC1(C)OB(c2cccc(C#N)c2)OC1(C)C', 'N#Cc1cccc(B(O)O)c1']; ['Nc1nccc(Cl)n1', 'Nc1nccc(Cl)n1']; [0.999998331, 0.999998331]
-COc1cccc(-c2cccc(C#N)c2)c1; ['COc1cccc(I)c1']; ['N#Cc1cccc(I)c1']; [0.965325594]
-N#Cc1cccc(-c2ccc(Cl)s2)c1; ['CC1(C)OB(c2ccc(Cl)s2)OC1(C)C', 'Clc1cccs1']; ['N#Cc1cccc(Br)c1', 'N#Cc1cccc(C(=O)O)c1']; [0.999990702, 0.999990702]
-N#Cc1cccc(Nc2cccnc2)c1; ['N#Cc1cccc(B(O)O)c1']; ['Nc1cccnc1']; [0.999820411]
-Cc1ncc(-c2cccc(C#N)c2)[nH]1; [None]; [None]; [0]
-N#Cc1cccc(-n2cnc3ccccc32)c1; ['N#Cc1cccc(Br)c1', 'N#Cc1cccc(I)c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.987778962, 0.987778962]
-N#Cc1cccc(-c2ccc3ccccc3c2)c1; ['N#Cc1cccc(Cl)c1', 'Clc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'N#Cc1cccc(B(O)O)c1']; [0.999974728, 0.999974728]
-CC(C)COc1cccc(C#N)c1; ['CC(C)CO', 'CC(C)CO']; ['N#Cc1cccc(O)c1', 'N#Cc1cccc(F)c1']; [0.998847127, 0.998847127]
-C[C@H](CO)Nc1cccc(C#N)c1; ['C[C@@H](N)CO', 'CC(=O)CO']; ['N#Cc1cccc(I)c1', 'N#Cc1cccc(N)c1']; [0.994388878, 0.994388878]
-C[C@@H](O)[C@@H](C)Oc1cccc(C#N)c1; ['C[C@H](O)[C@@H](C)O']; ['N#Cc1cccc(O)c1']; [0.845835805]
-N#Cc1cccc(NC(=O)c2cccs2)c1; ['N#Cc1cccc(I)c1']; ['NC(=O)c1cccs1']; [0.995064318]
-N#Cc1cccc(-c2cncc3ccccc23)c1; ['CC1(C)OB(c2cccc(C#N)c2)OC1(C)C', 'Brc1cncc2ccccc12', 'Brc1cncc2ccccc12']; ['Clc1cncc2ccccc12', 'N#Cc1cccc(I)c1', 'N#Cc1cccc(B(O)O)c1']; [0.999990821, 0.999990821, 0.999990821]
-N#Cc1cccc(-c2cccc(O)c2)c1; []; []; []
-N#Cc1cccc(-c2cccc(CO)c2)c1; ['N#Cc1cccc(I)c1', 'N#Cc1cccc(B(O)O)c1']; ['OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1']; [0.998723924, 0.998723924]
-Cn1cncc1-c1cccc(C#N)c1; ['Cn1ccnc1']; ['N#Cc1cccc(I)c1']; [0.939147055]
-N#Cc1cccc(-c2cccs2)c1; ['N#Cc1cccc(I)c1', 'N#Cc1cccc(Br)c1', 'Br[Mg]c1cccs1']; ['OB(O)c1cccs1', 'OB(O)c1cccs1', 'N#Cc1cccc(I)c1']; [0.999901175, 0.999901175, 0.999901175]
-N#Cc1cccc(-c2ccco2)c1; ['N#Cc1cccc(I)c1', 'N#Cc1cccc(S(=O)(=O)Cl)c1']; ['OB(O)c1ccco1', 'c1ccoc1']; [0.999503613, 0.999503613]
-N#Cc1cccc(Nc2ccncc2)c1; ['Ic1ccncc1', 'Clc1ccncc1', 'N#Cc1cccc(Cl)c1', 'N#Cc1cccc(I)c1']; ['N#Cc1cccc(N)c1', 'N#Cc1cccc(N)c1', 'Nc1ccncc1', 'Nc1ccncc1']; [0.999357283, 0.999357283, 0.999357283, 0.999357283]
-CC(C)Nc1cccc(C#N)c1; ['CC(C)I', 'COC(C)(C)OC', 'CC(C)=O']; ['N#Cc1cccc(N)c1', 'N#Cc1cccc(N)c1', 'N#Cc1cccc(N)c1']; [0.997819543, 0.997819543, 0.997819543]
-N#Cc1cccc(-c2ccc(F)cc2C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1']; ['N#Cc1cccc(Br)c1']; [0.985659599]
-Cn1cc(-c2cccc(C#N)c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; ['N#Cc1cccc(I)c1', 'N#Cc1cccc(Br)c1']; [0.99999249, 0.99999249]
-N#CCCc1cccc(-c2cccc(C#N)c2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cccc(C#N)c2)c1; []; []; []
-CCC(=O)Nc1ccc(-c2cccc(C#N)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cccc(C#N)c2)cc1Cl; ['COc1ccc(I)cc1Cl']; ['N#Cc1cccc(I)c1']; [0.988581121]
-CCC(=O)Nc1cccc(C#N)c1; ['CCC(=O)O', 'CCC(=O)Cl', 'CCC(=O)O']; ['N#Cc1cccc(N)c1', 'N#Cc1cccc([N+](=O)[O-])c1', 'N#Cc1cccc([N+](=O)[O-])c1']; [0.999759138, 0.999759138, 0.999759138]
-N#Cc1cccc(-c2cnoc2)c1; ['Brc1cnoc1']; ['N#Cc1cccc(B(O)O)c1']; [0.990042686]
-CCCn1cc(-c2cccc(C#N)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['N#Cc1cccc(Br)c1']; [0.999998808]
-CC(C)(N)c1ccc(-c2cccc(C#N)c2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1']; ['N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(B(O)O)c1']; [0.998496175, 0.998496175]
-Cc1cc(-c2cccc(C#N)c2)no1; [None]; [None]; [0]
-CCOC(=O)Cc1cccc(C#N)c1; []; []; []
-CCN(CC)c1cccc(C#N)c1; ['CCOS(=O)(=O)OCC']; ['N#Cc1cccc(N)c1']; [0.970287502]
-N#Cc1cccc(-c2cccc3c2C(=O)CC3)c1; ['N#Cc1cccc(B(O)O)c1']; ['O=C1CCc2cccc(Br)c21']; [0.999972]
-C[S@](=O)c1ccc(-c2cccc(C#N)c2)cc1; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1']; ['N#Cc1cccc(Br)c1', 'N#Cc1cccc(B(O)O)c1']; [0.99988687, 0.99988687]
-COc1ccncc1Nc1cccc(C#N)c1; ['COc1ccncc1N']; ['N#Cc1cccc(Br)c1']; [0.999952555]
-N#Cc1cccc(-c2c[nH]c3ccccc23)c1; ['N#Cc1cccc(N)c1']; ['c1ccc2[nH]ccc2c1']; [0.830147624]
-N#Cc1cccc(-c2cc3c(=O)[nH]ccc3o2)c1; [None]; [None]; [0]
-N#Cc1cccc(Nc2cnc3ccccc3c2)c1; ['Brc1cnc2ccccc2c1']; ['N#Cc1cccc(N)c1']; [0.999650359]
-N#Cc1cccc([C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cccc(C#N)c2)C1; [None]; [None]; [0]
-N#Cc1cccc(-c2c[nH]c3cnccc23)c1; ['Brc1c[nH]c2cnccc12']; ['N#Cc1cccc(B(O)O)c1']; [0.998692453]
-N#CC[C@@H]1CC[C@@H](c2cccc(C#N)c2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc(C#N)c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['N#Cc1cccc(I)c1']; [0.970730126]
-N#Cc1cccc([C@H]2COCC[C@@H]2C#N)c1; [None]; [None]; [0]
-N#Cc1cccc([C@@H]2CC[C@@H](C#N)CC2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccc(C#N)c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2cccc(C#N)c2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['N#Cc1cccc(Br)c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'N#Cc1cccc(Cl)c1', 'N#Cc1cccc(I)c1', 'N#Cc1cccc(B(O)O)c1']; [0.999999762, 0.999999762, 0.999999762, 0.999999762, 0.999999762]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc(C#N)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['N#Cc1cccc(Cl)c1', 'N#Cc1cccc(I)c1']; [0.999985456, 0.999985456]
-N#Cc1cccc(-c2cccc(F)c2C(N)=O)c1; ['N#Cc1cccc(B(O)O)c1']; ['NC(=O)c1c(F)cccc1Br']; [0.999897361]
-N#Cc1cccc(-n2ncc3ccccc32)c1; ['N#Cc1cccc(NN)c1', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(F)c1']; ['O=Cc1ccccc1Br', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.999484301, 0.999484301, 0.999484301]
-N#Cc1cccc(-c2cccnc2O)c1; ['N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(B(O)O)c1']; ['Oc1ncccc1Br', 'Oc1ncccc1I']; [0.999851942, 0.999851942]
-COc1ccc(-c2cccc(C#N)c2)c(OC)c1; ['COc1ccc(Br)c(OC)c1']; ['N#Cc1cccc(Br)c1']; [0.985749066]
-N#Cc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; ['N#Cc1cccc(C=O)c1']; ['Nc1ccc(O)cc1[N+](=O)[O-]']; [0.954743]
-N#Cc1cccc(-n2ncc3c(O)cccc32)c1; [None]; [None]; [0]
-N#Cc1cccc(-c2ccc(C(=O)c3ccccc3)cc2)c1; ['N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Br)c1', 'N#Cc1cccc(I)c1', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(-c2ccccc2)c1']; ['O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(Cl)c1ccccc1']; [0.999985337, 0.999985337, 0.999985337, 0.999985337, 0.999985337]
-N#Cc1cccc(-n2ccnc2)c1; ['N#Cc1cccc(Br)c1']; ['c1c[nH]cn1']; [0.997964]
-N#Cc1cccc(-c2cnc(N)s2)c1; ['N#Cc1cccc(B(O)O)c1']; ['Nc1ncc(Br)s1']; [0.998506844]
-N#Cc1cccc(Cc2ccncc2)c1; ['N#Cc1cccc(CBr)c1', 'BrCc1ccncc1']; ['OB(O)c1ccncc1', 'N#Cc1cccc(B(O)O)c1']; [0.998595655, 0.998595655]
-COc1cccc(F)c1-c1cccc(C#N)c1; ['COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Br']; ['N#Cc1cccc(I)c1', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Br)c1', 'N#Cc1cccc(Br)c1', 'N#Cc1cccc(I)c1', 'N#Cc1ccccc1']; [0.999985099, 0.999985099, 0.999985099, 0.999985099, 0.999985099, 0.999985099]
-Cc1cncc(-c2cccc(C#N)c2)n1; ['CC1(C)OB(c2cccc(C#N)c2)OC1(C)C']; ['Cc1cncc(Cl)n1']; [0.999999046]
-N#Cc1cccc(OC2CCOCC2)c1; ['CS(=O)(=O)OC1CCOCC1', 'N#Cc1cccc(O)c1', 'N#Cc1cccc(Br)c1']; ['N#Cc1cccc(O)c1', 'OC1CCOCC1', 'OC1CCOCC1']; [0.99990809, 0.99990809, 0.99990809]
-N#Cc1cccc(-c2nc(N)c3ccccc3n2)c1; ['N#Cc1cccc(C=O)c1', 'N#Cc1cccc(C(=O)Cl)c1']; ['N#Cc1ccccc1Br', 'N#Cc1ccccc1N']; [0.999759257, 0.999759257]
-N#Cc1cccc(-c2nnc(N)s2)c1; ['N#Cc1cccc(C(=O)O)c1']; ['NNC(N)=S']; [0.997991323]
-N#Cc1cccc(-c2nc3ccccc3s2)c1; ['N#Cc1cccc(C=O)c1', 'N#Cc1cccc(C#N)c1']; ['Nc1ccccc1S', 'Nc1ccccc1S']; [0.99996233, 0.99996233]
-N#Cc1cccc(-c2cccc3ccsc23)c1; ['Brc1cccc2ccsc12']; ['N#Cc1cccc(B(O)O)c1']; [0.998957515]
-N#Cc1cccc(Cc2cccnc2)c1; ['Brc1cccnc1']; ['N#Cc1cccc(CBr)c1']; [0.95761174]
-COc1ccc(C#N)cc1-c1cccc(C#N)c1; [None]; [None]; [0]
-CC(C)(C)CNc1cccc(C#N)c1; ['CC(C)(C)CN', 'CC(C)(C)CN']; ['N#Cc1cccc(I)c1', 'N#Cc1cccc(Br)c1']; [0.994931281, 0.994931281]
-C[C@@]1(O)CC[C@H](c2cccc(C#N)c2)CC1; [None]; [None]; [0]
-N#Cc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccc(C#N)c2)c1; ['CC1(C)OB(c2cccc(C#N)c2)OC1(C)C', 'Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cc(C)cc(I)c1', 'Cc1cc(C)cc(Br)c1', 'Cc1cc(C)cc(I)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['Cc1cc(C)cc(Br)c1', 'N#Cc1cccc(Br)c1', 'N#Cc1cccc(Br)c1', 'N#Cc1cccc(I)c1', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(I)c1']; [0.999994397, 0.999994397, 0.999994397, 0.999994397, 0.999994397, 0.999994397]
-CC(C)(C)Oc1cccc(C#N)c1; ['C=C(C)C', 'CC(C)(C)O']; ['N#Cc1cccc(O)c1', 'N#Cc1cccc(F)c1']; [0.9491539, 0.9491539]
-COc1ccc(OC)c(-c2cccc(C#N)c2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(Br)c1']; ['N#Cc1cccc(Cl)c1', 'N#Cc1cccc(Br)c1', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Br)c1']; [0.999966, 0.999966, 0.999966, 0.999966, 0.999966]
-N#Cc1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; ['N#Cc1cccc(B(O)O)c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999855876]
-N#Cc1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['N#Cc1cccc(Cl)c1', 'N#Cc1cccc(F)c1']; [0.999921441, 0.999921441]
-CCOc1ccccc1-c1ccc(CO)cc1; ['CCOc1ccccc1Cl', 'CCOc1ccccc1B(O)O']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(Cl)cc1']; [0.994827926, 0.994827926]
-CNC(=O)c1ccccc1-c1ccc(CO)cc1; ['CNC(=O)c1ccccc1Br']; ['OCc1ccc(B(O)O)cc1']; [0.999984]
-OCc1ccc(-c2ccnc3ccccc23)cc1; ['Clc1ccnc2ccccc12']; ['OCc1ccc(B(O)O)cc1']; [0.994846344]
-OCc1ccc(Cc2cc(F)cc(F)c2)cc1; ['Fc1cc(F)cc(Br)c1', 'Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(CBr)c1']; ['OCc1ccc(CCl)cc1', 'OCc1ccc(Br)cc1', 'OCc1ccc(B(O)O)cc1']; [0.984180689, 0.984180689, 0.984180689]
-OCc1ccc(-c2cccnc2)cc1; []; []; []
-OCc1ccc([C@@H]2C[C@H](O)C2)cc1; [None]; [None]; [0]
-OCc1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(Br)cc1']; [0.999759734, 0.999759734]
-OCc1ccc(-c2ccccc2Br)cc1; ['Clc1ccccc1Br']; ['OCc1ccc(B(O)O)cc1']; [0.981353641]
-OCc1ccc(-c2cc[nH]n2)cc1; [None]; [None]; [0]
-OCc1ccc(-c2ccccc2Cl)cc1; ['Clc1ccccc1I', 'OB(O)c1ccccc1Cl']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1']; [0.999743521, 0.999743521]
-OCc1ccc(-c2ccccc2OC(F)(F)F)cc1; ['FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1', 'OCc1ccc(Br)cc1']; [0.999328136, 0.999328136, 0.999328136, 0.999328136]
-OCc1ccc(-c2ccccc2F)cc1; ['Fc1ccccc1Br', 'OB(O)c1ccccc1F']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(Br)cc1']; [0.99914372, 0.99914372]
-NC(=O)c1ccccc1-c1ccc(CO)cc1; ['NC(=O)c1ccccc1Br']; ['OCc1ccc(B(O)O)cc1']; [0.999613106]
-N#Cc1ccccc1-c1ccc(CO)cc1; ['N#Cc1ccccc1I', 'N#Cc1ccccc1B(O)O', 'N#Cc1ccccc1Cl', 'N#Cc1ccccc1B(O)O']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1', 'OCc1ccc(B(O)O)cc1', 'OCc1ccc(Cl)cc1']; [0.999838948, 0.999838948, 0.999838948, 0.999838948]
-OCc1ccc(-c2cnn(Cc3ccccc3)c2)cc1; ['Brc1cnn(Cc2ccccc2)c1']; ['OCc1ccc(B(O)O)cc1']; [0.998368084]
-OCc1ccc(-c2c(F)cccc2F)cc1; ['Fc1cccc(F)c1Cl', 'OB(O)c1c(F)cccc1F']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(Cl)cc1']; [0.997292817, 0.997292817]
-OCc1ccc(-c2ccncn2)cc1; []; []; []
-OCc1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
-N[C@H](c1ccc(CO)cc1)c1ccco1; [None]; [None]; [0]
-OCCn1cc(-c2ccc(CO)cc2)cn1; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'OCCn1cc(Br)cn1']; ['OCCn1cc(Br)cn1', 'OCc1ccc(B(O)O)cc1']; [0.999986768, 0.999986768]
-O=C(Nc1cccc(-c2ccc(CO)cc2)c1)c1ccccc1; [None]; [None]; [0]
-OCc1ccc(-c2cnco2)cc1; []; []; []
-OCc1ccc(-c2ccc3c(c2)CCC3)cc1; ['Ic1ccc2c(c1)CCC2']; ['OCc1ccc(B(O)O)cc1']; [0.99968791]
-Cc1ccc(-c2ccc(CO)cc2)c(Br)c1; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Br)c(Br)c1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(B(O)O)cc1']; [0.989499867, 0.989499867]
-OCc1ccc(-c2cnc3ccccn23)cc1; ['Brc1cnc2ccccn12']; ['OCc1ccc(B(O)O)cc1']; [0.999980569]
-Cc1nc(N)sc1-c1ccc(CO)cc1; ['Cc1nc(N)sc1Br', 'Cc1csc(N)n1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1']; [0.9994874, 0.9994874]
-OCc1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12']; ['OCc1ccc(B(O)O)cc1']; [0.999999404]
-Cc1nc(C)c(-c2ccc(CO)cc2)s1; ['Cc1csc(C)n1']; ['OCc1ccc(I)cc1']; [0.976563334]
-OCc1ccc(-c2c(Cl)cccc2Cl)cc1; ['Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1', 'OCc1ccc(B(O)O)cc1', 'OCc1ccc(Br)cc1']; [0.999514461, 0.999514461, 0.999514461, 0.999514461]
-Cc1ccc(Cl)c(-c2ccc(CO)cc2)c1; ['Cc1ccc(Cl)c(Cl)c1']; ['OCc1ccc(B(O)O)cc1']; [0.852515638]
-CC(C)(C)Nc1ccc(CO)cc1; [None]; [None]; [0]
-OCc1ccc(-c2cccc(Cl)c2Cl)cc1; ['Clc1cccc(I)c1Cl', 'OB(O)c1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Cl']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1', 'OCc1ccc(B(O)O)cc1']; [0.997161627, 0.997161627, 0.997161627]
-OCc1ccc(OC2CCCCC2)cc1; ['OC1CCCCC1']; ['OCc1ccc(I)cc1']; [0.750026822]
-Nc1nccc(-c2ccc(CO)cc2)n1; ['Nc1nccc(Cl)n1']; ['OCc1ccc(B(O)O)cc1']; [0.998561203]
-OCc1ccc(NCc2cccnc2)cc1; ['NCc1cccnc1']; ['OCc1ccc(Br)cc1']; [0.907119751]
-COc1cccc(-c2ccc(CO)cc2)c1; []; []; []
-OCc1ccc(-c2ccc(Cl)s2)cc1; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'Clc1ccc(Br)s1', 'Clc1cccs1']; ['Clc1ccc(Br)s1', 'OCc1ccc(B(O)O)cc1', 'OCc1ccc(Br)cc1']; [0.999985218, 0.999985218, 0.999985218]
-Cc1ncc(-c2ccc(CO)cc2)[nH]1; [None]; [None]; [0]
-OCc1ccc(-n2cnc3ccccc32)cc1; ['OCc1ccc(F)cc1']; ['c1ccc2[nH]cnc2c1']; [0.9532758]
-OCc1ccc(-c2ccc3ccccc3c2)cc1; ['Clc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(Cl)cc1']; [0.999314189, 0.999314189]
-C[C@H](CO)Nc1ccc(CO)cc1; ['C[C@@H](N)CO']; ['OCc1ccc(Br)cc1']; [0.810616076]
-O=C(Nc1ccc(CO)cc1)c1cccs1; ['Nc1ccc(CO)cc1']; ['O=C(Cl)c1cccs1']; [0.999599516]
-OCc1ccc(Nc2cccnc2)cc1; ['Nc1cccnc1']; ['OCc1ccc(B(O)O)cc1']; [0.988947153]
-CC(C)COc1ccc(CO)cc1; ['Cc1ccc(S(=O)(=O)OCC(C)C)cc1']; ['OCc1ccc(O)cc1']; [0.944986701]
-OCc1ccc(-c2cccc(O)c2)cc1; ['OCc1ccc(B(O)O)cc1', 'OB(O)c1cccc(O)c1']; ['Oc1cccc(Br)c1', 'OCc1ccc(Br)cc1']; [0.998967648, 0.998967648]
-OCc1ccc(-c2cncc3ccccc23)cc1; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'OB(O)c1cncc2ccccc12']; ['Clc1cncc2ccccc12', 'OCc1ccc(Br)cc1']; [0.999831796, 0.999831796]
-C[C@@H](O)[C@@H](C)Oc1ccc(CO)cc1; [None]; [None]; [0]
-OCc1ccc(Nc2ccncc2)cc1; ['Nc1ccncc1']; ['OCc1ccc(Br)cc1']; [0.759991825]
-Cn1cncc1-c1ccc(CO)cc1; ['Cn1cncc1Cl']; ['OCc1ccc(B(O)O)cc1']; [0.999569714]
-Cn1cc(-c2ccc(CO)cc2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(Br)cn1']; ['OCc1ccc(Br)cc1', 'OCc1ccc(B(O)O)cc1']; [0.999949574, 0.999949574]
-OCc1ccc(-c2cccc(CO)c2)cc1; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1', 'OCc1ccc(Br)cc1', 'OCc1ccc(Cl)cc1', 'OCc1ccc(B(O)O)cc1']; ['OCc1cccc(I)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Cl)c1']; [0.999734819, 0.999734819, 0.999734819, 0.999734819, 0.999734819, 0.999734819]
-OCc1ccc(-c2cccs2)cc1; []; []; []
-OCc1ccc(-c2ccco2)cc1; ['Brc1ccco1']; ['OCc1ccc(B(O)O)cc1']; [0.998945415]
-N#CCCc1cccc(-c2ccc(CO)cc2)c1; ['N#CCCc1cccc(Br)c1']; ['OCc1ccc(B(O)O)cc1']; [0.999765694]
-CC(=O)Nc1cccc(-c2ccc(CO)cc2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(Br)cc1']; [0.999947548, 0.999947548]
-CC(C)Nc1ccc(CO)cc1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(CO)cc1; ['CCC(=O)Cl']; ['Nc1ccc(CO)cc1']; [0.994225562]
-OCc1ccc(-c2ccc(F)cc2C(F)(F)F)cc1; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F']; ['OCc1ccc(I)cc1', 'OCc1ccc(B(O)O)cc1', 'OCc1ccc(B(O)O)cc1', 'OCc1ccc(Cl)cc1']; [0.99978596, 0.99978596, 0.99978596, 0.99978596]
-COc1ccc(-c2ccc(CO)cc2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Cl)cc1Cl']; ['OCc1ccc(Cl)cc1', 'OCc1ccc(B(O)O)cc1']; [0.986036301, 0.986036301]
-Cc1cc(-c2ccc(CO)cc2)no1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccc(CO)cc3)c21; ['O=C1CCc2cccc(Br)c21']; ['OCc1ccc(B(O)O)cc1']; [0.999878764]
-OCc1ccc(-c2cnoc2)cc1; ['Brc1cnoc1', 'Brc1cnoc1']; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'OCc1ccc(B(O)O)cc1']; [0.999985218, 0.999985218]
-CCCn1cc(-c2ccc(CO)cc2)cn1; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'CCCn1cc(Br)cn1']; ['CCCn1cc(Br)cn1', 'OCc1ccc(B(O)O)cc1']; [0.999995232, 0.999995232]
-CCOC(=O)Cc1ccc(CO)cc1; ['CCO']; ['O=C(O)Cc1ccc(CO)cc1']; [0.982875347]
-C[S@](=O)c1ccc(-c2ccc(CO)cc2)cc1; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1']; ['OCc1ccc(Br)cc1', 'OCc1ccc(B(O)O)cc1']; [0.990910709, 0.990910709]
-CC(C)(N)c1ccc(-c2ccc(CO)cc2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['OCc1ccc(B(O)O)cc1']; [0.956582189]
-CCN(CC)c1ccc(CO)cc1; []; []; []
-O=c1[nH]ccc2oc(-c3ccc(CO)cc3)cc12; [None]; [None]; [0]
-OCc1ccc(Nc2cnc3ccccc3c2)cc1; ['Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['Nc1ccc(CO)cc1', 'Nc1ccc(CO)cc1', 'OCc1ccc(Br)cc1', 'OCc1ccc(Cl)cc1']; [0.964123845, 0.964123845, 0.964123845, 0.964123845]
-OCc1ccc(-c2c[nH]c3ccccc23)cc1; [None]; [None]; [0]
-COc1ccncc1Nc1ccc(CO)cc1; ['COc1ccncc1Cl', 'COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1N']; ['Nc1ccc(CO)cc1', 'Nc1ccc(CO)cc1', 'OCc1ccc(Br)cc1', 'OCc1ccc(Cl)cc1']; [0.996543348, 0.996543348, 0.996543348, 0.996543348]
-OCc1ccc(-c2c[nH]c3cnccc23)cc1; ['Brc1c[nH]c2cnccc12']; ['OCc1ccc(B(O)O)cc1']; [0.984990776]
-N#CCC(=O)N1CCC[C@@H](c2ccc(CO)cc2)C1; [None]; [None]; [0]
-OCc1ccc([C@H](CO)Cc2ccccc2)cc1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc(CO)cc2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(CO)cc2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['OCc1ccc(Br)cc1', 'CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'OCc1ccc(I)cc1', 'OCc1ccc(Br)cc1', 'OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1']; [0.999834538, 0.999834538, 0.999834538, 0.999834538, 0.999834538, 0.999834538]
-N#C[C@H]1CCOC[C@@H]1c1ccc(CO)cc1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc(CO)cc2)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc(CO)cc2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['OCc1ccc(Br)cc1', 'OCc1ccc(B(O)O)cc1', 'OCc1ccc(Cl)cc1', 'OCc1ccc(B(O)O)cc1']; [0.997388184, 0.997388184, 0.997388184, 0.997388184]
-CNS(=O)(=O)c1ccc(-c2ccc(CO)cc2)cc1; ['CNS(=O)(=O)c1ccc(Cl)cc1']; ['OCc1ccc(B(O)O)cc1']; [0.972748876]
-NC(=O)c1c(F)cccc1-c1ccc(CO)cc1; ['NC(=O)c1c(F)cccc1Cl']; ['OCc1ccc(B(O)O)cc1']; [0.998897791]
-OCc1ccc(-n2ncc3ccccc32)cc1; ['OCc1ccc(I)cc1']; ['c1ccc2[nH]ncc2c1']; [0.982592702]
-OCc1ccc(-c2cccnc2O)cc1; ['OCc1ccc(B(O)O)cc1']; ['Oc1ncccc1I']; [0.999514699]
-OCc1ccc(-n2ncc3c(O)cccc32)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(CO)cc2)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(Br)cc1']; [0.999849558, 0.999849558]
-OCc1ccc(-c2nc3ccc(O)cc3[nH]2)cc1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccc(CO)cc2)cc1; ['O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(Br)cc1']; [0.997745037, 0.997745037]
-OCc1ccc(Cc2ccncc2)cc1; ['BrCc1ccncc1', 'BrCc1ccncc1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1']; [0.965404809, 0.965404809]
-Nc1ncc(-c2ccc(CO)cc2)s1; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'Nc1ncc(Br)s1']; ['Nc1ncc(Br)s1', 'OCc1ccc(B(O)O)cc1']; [0.999992251, 0.999992251]
-OCc1ccc(-n2ccnc2)cc1; []; []; []
-Cc1cncc(-c2ccc(CO)cc2)n1; ['Cc1cncc(Cl)n1']; ['OCc1ccc(B(O)O)cc1']; [0.985061]
-OCc1ccc(OC2CCOCC2)cc1; ['OC1CCOCC1', 'Cc1ccc(S(=O)(=O)OC2CCOCC2)cc1']; ['OCc1ccc(O)cc1', 'OCc1ccc(O)cc1']; [0.963068426, 0.963068426]
-COc1cccc(F)c1-c1ccc(CO)cc1; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1', 'OCc1ccc(B(O)O)cc1', 'OCc1ccc(Br)cc1', 'OCc1ccc(Cl)cc1']; [0.999869704, 0.999869704, 0.999869704, 0.999869704, 0.999869704]
-Nc1nnc(-c2ccc(CO)cc2)s1; ['NNC(N)=S']; ['O=C(O)c1ccc(CO)cc1']; [0.998517215]
-OCc1ccc(-c2nc3ccccc3s2)cc1; ['Nc1ccccc1S']; ['O=Cc1ccc(CO)cc1']; [0.997415423]
-OCc1ccc(-c2cccc3ccsc23)cc1; ['Brc1cccc2ccsc12']; ['OCc1ccc(B(O)O)cc1']; [0.988778532]
-Nc1nc(-c2ccc(CO)cc2)nc2ccccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc(CO)cc1; ['COc1ccc(C#N)cc1Br']; ['OCc1ccc(B(O)O)cc1']; [0.999747694]
-OCc1ccc(-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
-CC(C)(C)Oc1ccc(CO)cc1; []; []; []
-CC(C)(C)CNc1ccc(CO)cc1; ['CC(C)(C)CN', 'CC(C)(C)CCl']; ['OCc1ccc(I)cc1', 'Nc1ccc(CO)cc1']; [0.9478, 0.9478]
-OCc1ccc(Cc2cccnc2)cc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc(CO)cc2)c1; ['Cc1cc(C)cc(Cl)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(Cl)cc1']; [0.994792759, 0.994792759]
-COc1ccc(OC)c(-c2ccc(CO)cc2)c1; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(I)cc1', 'OCc1ccc(Br)cc1']; [0.999471366, 0.999471366, 0.999471366]
-CNC(=O)c1ccccc1Nc1ccncc1F; ['CNC(=O)c1ccccc1N']; ['Fc1cnccc1Cl']; [0.999767721]
-C[C@@]1(O)CC[C@H](c2ccc(CO)cc2)CC1; [None]; [None]; [0]
-OCc1ccc(N2CC=C(c3c[nH]c4ccccc34)CC2)cc1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['OCc1ccc(Br)cc1']; [0.998528123]
-Fc1cnccc1Nc1ccnc2ccccc12; ['Fc1cnccc1I', 'Fc1cnccc1Cl', 'Clc1ccnc2ccccc12']; ['Nc1ccnc2ccccc12', 'Nc1ccnc2ccccc12', 'Nc1ccncc1F']; [0.999820411, 0.999820411, 0.999820411]
-OCc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1; [None]; [None]; [0]
-CCOc1ccccc1Nc1ccncc1F; ['CCOc1ccccc1N']; ['Fc1cnccc1I']; [0.998858333]
-Fc1cnccc1Nc1cccnc1; ['Fc1cnccc1Cl', 'Fc1cccnc1']; ['Nc1cccnc1', 'Nc1cccnc1']; [0.999867797, 0.999867797]
-Fc1cnccc1Nc1cc[nH]n1; ['Fc1cnccc1Cl']; ['Nc1cc[nH]n1']; [0.999513507]
-O[C@H]1C[C@@H](Nc2ccncc2F)C1; [None]; [None]; [0]
-Fc1cnccc1Nc1cccc(C(F)(F)F)c1; ['Fc1cnccc1Cl']; ['Nc1cccc(C(F)(F)F)c1']; [0.999974489]
-Fc1ccccc1Nc1ccncc1F; ['Fc1cnccc1I', 'Fc1cnccc1Cl']; ['Nc1ccccc1F', 'Nc1ccccc1F']; [0.999562323, 0.999562323]
-Fc1cnccc1Nc1ccccc1Br; ['Fc1cnccc1Cl']; ['Nc1ccccc1Br']; [0.999957204]
-Fc1cnccc1Nc1ccccc1Cl; ['Fc1cnccc1I']; ['Nc1ccccc1Cl']; [0.999885678]
-NC(=O)c1ccccc1Nc1ccncc1F; ['Fc1cnccc1Cl']; ['NC(=O)c1ccccc1N']; [0.996937275]
-N#Cc1ccccc1Nc1ccncc1F; ['Fc1cnccc1I']; ['N#Cc1ccccc1N']; [0.999727547]
-Fc1cnccc1Nc1ccccc1OC(F)(F)F; ['Fc1cnccc1Br', 'FC(F)(F)Oc1ccccc1Br']; ['Nc1ccccc1OC(F)(F)F', 'Nc1ccncc1F']; [0.999983191, 0.999983191]
-Fc1cnccc1Nc1c(F)cccc1F; [None]; [None]; [0]
-Fc1cnccc1Nc1cnn(Cc2ccccc2)c1; ['Fc1cnccc1I']; ['Nc1cnn(Cc2ccccc2)c1']; [0.999996185]
-Fc1cnccc1Nc1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-Fc1cnccc1Nc1ccncn1; ['Clc1ccncn1']; ['Nc1ccncc1F']; [0.999992847]
-O=C(Nc1cccc(Nc2ccncc2F)c1)c1ccccc1; ['Fc1cnccc1Cl']; ['Nc1cccc(NC(=O)c2ccccc2)c1']; [0.999994516]
-OCCn1cc(Nc2ccncc2F)cn1; ['Nc1ccncc1F']; ['OCCn1cc(Br)cn1']; [0.999578774]
-Cc1ccc(Nc2ccncc2F)c(Br)c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(Br)c1']; ['Fc1cnccc1I', 'Fc1cnccc1Cl']; [0.999958634, 0.999958634]
-Fc1cnccc1Nc1cnco1; [None]; [None]; [0]
-Fc1cnccc1Nc1ccc2c(c1)CCC2; ['Fc1cnccc1Cl', 'Fc1cnccc1Br']; ['Nc1ccc2c(c1)CCC2', 'Nc1ccc2c(c1)CCC2']; [0.999971151, 0.999971151]
-Cc1nc(C)c(Nc2ccncc2F)s1; [None]; [None]; [0]
-Fc1cnccc1Nc1cnc2ccccn12; ['Fc1cnccc1Br']; ['Nc1cnc2ccccn12']; [0.998687565]
-Fc1cnccc1Nc1c(Cl)cccc1Cl; ['Fc1cnccc1Br', 'Clc1cccc(Cl)c1Br']; ['Nc1c(Cl)cccc1Cl', 'Nc1ccncc1F']; [0.999993563, 0.999993563]
-Cc1nc(N)sc1Nc1ccncc1F; [None]; [None]; [0]
-Cc1ccc(Cl)c(Nc2ccncc2F)c1; ['Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(N)c1']; ['Fc1cnccc1I', 'Fc1cnccc1Br', 'Fc1cnccc1Cl']; [0.999826372, 0.999826372, 0.999826372]
-Fc1cnccc1Nc1cnc2cccnn12; [None]; [None]; [0]
-Nc1nccc(Nc2ccncc2F)n1; ['Fc1cnccc1Br', 'Fc1cnccc1Cl']; ['Nc1ccnc(N)n1', 'Nc1ccnc(N)n1']; [0.999995947, 0.999995947]
-Fc1cnccc1Nc1cccc(Cl)c1Cl; ['Fc1cnccc1Br']; ['Nc1cccc(Cl)c1Cl']; [0.999708593]
-Cc1ncc(Nc2ccncc2F)[nH]1; [None]; [None]; [0]
-Fc1cnccc1Nc1ccc(Cl)s1; ['Clc1ccc(Br)s1']; ['Nc1ccncc1F']; [0.999786794]
-Fc1cnccc1Nc1ccc2ccccc2c1; ['Fc1cnccc1Cl']; ['Nc1ccc2ccccc2c1']; [0.999953747]
-COc1cccc(Nc2ccncc2F)c1; ['COc1cccc(N)c1']; ['Fc1cnccc1Br']; [0.99970454]
-OCc1cccc(Nc2ccncc2F)c1; ['Fc1cnccc1Br']; ['Nc1cccc(CO)c1']; [0.999672532]
-Oc1cccc(Nc2ccncc2F)c1; ['Fc1cnccc1Cl', 'CC(=O)Nc1cccc(O)c1']; ['Nc1cccc(O)c1', 'Fc1cnccc1Cl']; [0.999564, 0.999564]
-Fc1cnccc1Nc1cncc2ccccc12; ['Fc1cnccc1Cl']; ['Nc1cncc2ccccc12']; [0.999962211]
-Cn1cncc1Nc1ccncc1F; ['Cn1cncc1Cl']; ['Nc1ccncc1F']; [0.989761531]
-Fc1cnccc1Nc1cccs1; [None]; [None]; [0]
-Fc1cnccc1Nc1ccco1; [None]; [None]; [0]
-Cn1cc(Nc2ccncc2F)cn1; ['Cn1cc(N)cn1', 'Cn1cc(N)cn1', 'Cn1cc(I)cn1']; ['Fc1cnccc1I', 'Fc1cnccc1Br', 'Nc1ccncc1F']; [0.999998927, 0.999998927, 0.999998927]
-CC[C@H](CO)Nc1ccncc1F; ['CC[C@@H](N)CO', 'CC[C@@H](N)CO', 'CC[C@@H](N)CO']; ['Fc1cnccc1Cl', 'Fc1cnccc1Br', 'Fc1cnccc1I']; [0.999995947, 0.999995947, 0.999995947]
-N#CCCc1cccc(Nc2ccncc2F)c1; ['N#CCCc1cccc(Br)c1']; ['Nc1ccncc1F']; [0.999992132]
-CC(=O)Nc1cccc(Nc2ccncc2F)c1; ['CC(=O)Nc1cccc(N)c1']; ['Fc1cnccc1Cl']; [0.999988794]
-OC[C@H](O)CCNc1ccncc1F; [None]; [None]; [0]
-Fc1ccc(Nc2ccncc2F)c(C(F)(F)F)c1; ['Fc1cnccc1Cl', 'Fc1ccc(Cl)c(C(F)(F)F)c1']; ['Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccncc1F']; [0.999950409, 0.999950409]
-CCC(=O)Nc1ccc(Nc2ccncc2F)cc1; ['CCC(=O)Nc1ccc(N)cc1']; ['Fc1cnccc1Br']; [0.999766171]
-COc1ccc(Nc2ccncc2F)cc1Cl; ['COc1ccc(Br)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(Cl)cc1Cl']; ['Nc1ccncc1F', 'Fc1cnccc1Br', 'Fc1cnccc1Cl', 'Nc1ccncc1F']; [0.999995, 0.999995, 0.999995, 0.999995]
-Cc1cc(Nc2ccncc2F)no1; ['Cc1cc(N)no1', 'Cc1cc(N)no1', 'Cc1cc(N)no1']; ['Fc1cnccc1Br', 'Fc1cnccc1Cl', 'Fc1cnccc1I']; [0.999966502, 0.999966502, 0.999966502]
-O=C1CCc2cccc(Nc3ccncc3F)c21; ['Nc1ccncc1F']; ['O=C1CCc2cccc(Br)c21']; [0.999800265]
-CCCn1cc(Nc2ccncc2F)cn1; [None]; [None]; [0]
-Fc1cnccc1Nc1cnoc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(Nc2ccncc2F)cc1; [None]; [None]; [0]
-Fc1cnccc1Nc1c[nH]c2cnccc12; ['Brc1c[nH]c2cnccc12']; ['Nc1ccncc1F']; [0.997933745]
-O=c1[nH]ccc2oc(Nc3ccncc3F)cc12; [None]; [None]; [0]
-CC(C)(N)c1ccc(Nc2ccncc2F)cc1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](Nc2ccncc2F)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](Nc2ccncc2F)CC1; [None]; [None]; [0]
-Fc1cnccc1Nc1c[nH]c2ccccc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2ccncc2F)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['Fc1cnccc1Br']; [0.993731081]
-N#C[C@H]1CCOC[C@@H]1Nc1ccncc1F; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Nc2ccncc2F)cc1; ['CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(N)cc1']; ['Nc1ccncc1F', 'Fc1cnccc1Br']; [0.999983907, 0.999983907]
-N#C[C@@H]1CC[C@@H](Nc2ccncc2F)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(Nc2ccncc2F)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1']; ['Fc1cnccc1I']; [0.999828815]
-Oc1ncccc1Nc1ccncc1F; ['Nc1ccncc1F', 'Fc1cnccc1I', 'Fc1cnccc1Cl']; ['Oc1ncccc1Br', 'Nc1cccnc1O', 'Nc1cccnc1O']; [0.99978894, 0.99978894, 0.99978894]
-Oc1ccc2nc(Nc3ccncc3F)[nH]c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(Nc2ccncc2F)cc1; ['Fc1cnccc1Cl']; ['Nc1ccc(C(=O)c2ccccc2)cc1']; [0.999899864]
-NC(=O)c1c(F)cccc1Nc1ccncc1F; ['NC(=O)c1c(F)cccc1Br', 'Fc1cnccc1Br', 'Fc1cnccc1I', 'NC(=O)c1c(N)cccc1F']; ['Nc1ccncc1F', 'NC(=O)c1c(N)cccc1F', 'NC(=O)c1c(N)cccc1F', 'OB(O)c1ccncc1F']; [0.999941587, 0.999941587, 0.999941587, 0.999941587]
-Cc1cncc(Nc2ccncc2F)n1; ['Cc1cncc(Cl)n1', 'Cc1cncc(N)n1']; ['Nc1ccncc1F', 'Fc1cnccc1Br']; [0.99999845, 0.99999845]
-COc1ccc(Nc2ccncc2F)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(N)c(OC)c1']; ['Nc1ccncc1F', 'Fc1cnccc1Br']; [0.999987602, 0.999987602]
-Nc1ncc(Nc2ccncc2F)s1; [None]; [None]; [0]
-COc1cccc(F)c1Nc1ccncc1F; ['COc1cccc(F)c1N']; ['Fc1cnccc1Br']; [0.999991536]
-Nc1nnc(Nc2ccncc2F)s1; [None]; [None]; [0]
-Fc1cnccc1Nc1cccc2ccsc12; [None]; [None]; [0]
-Fc1cnccc1Nc1nc2ccccc2s1; ['Brc1nc2ccccc2s1', 'Fc1cnccc1Br']; ['Nc1ccncc1F', 'Nc1nc2ccccc2s1']; [0.999998212, 0.999998212]
-Fc1cnccc1Nc1c[nH]c2cccnc12; [None]; [None]; [0]
-COc1ccc(OC)c(Nc2ccncc2F)c1; ['COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(Cl)c1']; ['Fc1cnccc1I', 'Fc1cnccc1Cl', 'Nc1ccncc1F']; [0.999983668, 0.999983668, 0.999983668]
-COc1ccc(C#N)cc1Nc1ccncc1F; ['COc1ccc(C#N)cc1N']; ['Fc1cnccc1I']; [0.999996185]
-Cc1cc(C)cc(Nc2ccncc2F)c1; ['Cc1cc(C)cc(N)c1']; ['Fc1cnccc1I']; [0.999877334]
-C[C@@]1(O)CC[C@H](Nc2ccncc2F)CC1; [None]; [None]; [0]
-N#Cc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Fc1cnccc1NN1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-COc1ncccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-COc1cc(-c2cccc3nc(N)oc23)cc(OC)c1OC; [None]; [None]; [0]
-Cn1nncc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Cn1cc(-c2cccc3nc(N)oc23)cn1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnc4cccnn34)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(O)c3)c2o1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3nc4ccccc4[nH]3)c2o1; [None]; [None]; [0]
-COc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(C(=O)Nc4ccccc4)cc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(Nc3ncccn3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(F)c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(Cc3nccc4ccccc34)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(Cl)cc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(OCCO)cc3)c2o1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(CCCO)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(C4CCNCC4)c3)c2o1; [None]; [None]; [0]
-Cc1cc(-c2cccc3nc(N)oc23)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(C(F)(F)F)cc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cncnc3)c2o1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cccc3nc(N)oc23)s1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnc(Cl)nc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(Br)cc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cn[nH]c3)c2o1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3c[nH]c4ccccc34)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc4c(c3)CCO4)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc[nH]3)c2o1; [None]; [None]; [0]
-COc1cc(-c2cccc3nc(N)oc23)ccc1O; [None]; [None]; [0]
-Nc1nc2cccc(-c3cc4ccccc4cn3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(F)c(F)c3)c2o1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc4c3OCO4)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3scc4c3OCCO4)c2o1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccco3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnc4ccccc4c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc([C@@H]3CC[C@@H](O)CC3)c2o1; [None]; [None]; [0]
-CSc1cccc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-Cc1cc(-c2cccc3nc(N)oc23)nc(N)n1; [None]; [None]; [0]
-CC[C@@H](CO)c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc([C@H]3CC[C@@H](O)C3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(F)cc3Cl)c2o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ncc(Br)cn3)c2o1; [None]; [None]; [0]
-COc1ccc(-c2cccc3nc(N)oc23)cc1OC; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(Cl)cc3Cl)c2o1; [None]; [None]; [0]
-Cn1cc(-c2cccc3nc(N)oc23)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccsc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc4ccc(O)cc34)c2o1; [None]; [None]; [0]
-COc1cc(F)c(-c2cccc3nc(N)oc23)cc1OC; [None]; [None]; [0]
-COc1ccc2cccc(-c3cccc4nc(N)oc34)c2c1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3nc(N)oc23)o1; [None]; [None]; [0]
-COc1cc(-c2cccc3nc(N)oc23)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc(-c2cccc3nc(N)oc23)ccc1Cl; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc4cn[nH]c4c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cc4ccccc4o3)c2o1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(OC(F)(F)F)cc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cscn3)c2o1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3nc(N)oc23)nc1C; [None]; [None]; [0]
-CCc1cccc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(N4CCCC4=O)c3)c2o1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(CCO)cc3)c2o1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc([C@@H]3C[C@H](O)C3)c2o1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccnc4ccccc34)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cc[nH]n3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(Cc3cc(F)cc(F)c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(C(F)(F)F)c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccnc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccccc3F)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccccc3Cl)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccccc3Br)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccccc3OC(F)(F)F)c2o1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnn(Cc4ccccc4)c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3c(F)cccc3F)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnc(-c4ccccc4)[nH]3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc([C@@H](N)c3ccco3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccncn3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnn(CCO)c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc4c(c3)CCC4)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(NC(=O)c4ccccc4)c3)c2o1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3nc(N)oc23)c(Br)c1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnc4ccccn34)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnco3)c2o1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CC(C)(C)Nc1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3c(Cl)cccc3Cl)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(OC3CCCCC3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(Cl)c3Cl)c2o1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-Nc1nc2cccc(NCc3cccnc3)c2o1; [None]; [None]; [0]
-COc1cccc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-Nc1nccc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
-Cc1ncc(-c2cccc3nc(N)oc23)[nH]1; [None]; [None]; [0]
-Nc1nc2cccc(Nc3cccnc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(Cl)s3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc4ccccc4c3)c2o1; [None]; [None]; [0]
-C[C@H](CO)Nc1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-n3cnc4ccccc43)c2o1; [None]; [None]; [0]
-CC(C)COc1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(NC(=O)c3cccs3)c2o1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3cncc4ccccc34)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(CO)c3)c2o1; [None]; [None]; [0]
-Cn1cncc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(Nc3ccncc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccs3)c2o1; [None]; [None]; [0]
-CC(C)Nc1cccc2nc(N)oc12; [None]; [None]; [0]
-N#CCCc1cccc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(F)cc3C(F)(F)F)c2o1; [None]; [None]; [0]
-CCC(=O)Nc1cccc2nc(N)oc12; [None]; [None]; [0]
-COc1ccc(-c2cccc3nc(N)oc23)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cccc3nc(N)oc23)no1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnoc3)c2o1; [None]; [None]; [0]
-CCCn1cc(-c2cccc3nc(N)oc23)cn1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc4c3C(=O)CC4)c2o1; [None]; [None]; [0]
-CCOC(=O)Cc1cccc2nc(N)oc12; [None]; [None]; [0]
-CCN(CC)c1cccc2nc(N)oc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cc4c(=O)[nH]ccc4o3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(Nc3cnc4ccccc4c3)c2o1; [None]; [None]; [0]
-COc1ccncc1Nc1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3c[nH]c4cnccc34)c2o1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cccc3nc(N)oc23)C1; [None]; [None]; [0]
-Nc1nc2cccc([C@H](CO)Cc3ccccc3)c2o1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccc2nc(N)oc12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccnc3O)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-n3ncc4c(O)cccc43)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-n3ncc4ccccc43)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(Cc3ccncc3)c2o1; [None]; [None]; [0]
-COc1ccc(-c2cccc3nc(N)oc23)c(OC)c1; [None]; [None]; [0]
-Nc1nc2cccc(-c3nc4ccc(O)cc4[nH]3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(OC3CCOCC3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3nnc(N)s3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-n3ccnc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(C(=O)c4ccccc4)cc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3nc4ccccc4s3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnc(N)s3)c2o1; [None]; [None]; [0]
-Cc1cncc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3c[nH]c4cccnc34)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc4ccsc34)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3nc(N)c4ccccc4n3)c2o1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CC(C)(C)CNc1cccc2nc(N)oc12; [None]; [None]; [0]
-CC(C)(C)Oc1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(Cc3cccnc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(N3CCC(c4nc5ccccc5[nH]4)CC3)c2o1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ccc3ncccc3n2)c1; ['Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(CBr)c1']; ['c1cnc2cccnc2c1', 'c1cnc2cccnc2c1']; [0.999164462, 0.999164462]
-Nc1nc2cccc(N3CC=C(c4c[nH]c5ccccc45)CC3)c2o1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc2ncccc2n1; ['CCOc1ccccc1Br']; ['c1cnc2cccnc2c1']; [0.931948185]
-O[C@H]1C[C@@H](c2ccc3ncccc3n2)C1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ccc3ncccc3n2)c1; ['FC(F)(F)c1cccc(Br)c1']; ['c1cnc2cccnc2c1']; [0.999744594]
-c1cnc2ccc(-c3ccnc4ccccc34)nc2c1; [None]; [None]; [0]
-c1cnc2ccc(-c3cc[nH]n3)nc2c1; [None]; [None]; [0]
-Fc1ccccc1-c1ccc2ncccc2n1; ['Fc1ccccc1']; ['c1cnc2cccnc2c1']; [0.971156359]
-N#Cc1ccccc1-c1ccc2ncccc2n1; ['N#Cc1ccccc1Br']; ['c1cnc2cccnc2c1']; [0.986005247]
-Clc1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1ccc2ncccc2n1; ['FC(F)(F)Oc1ccccc1']; ['c1cnc2cccnc2c1']; [0.819601]
-c1cncc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ccc2ncccc2n1; [None]; [None]; [0]
-Brc1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4ncccc4n3)cn2)cc1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-N[C@H](c1ccc2ncccc2n1)c1ccco1; [None]; [None]; [0]
-c1cnc2ccc(-c3ccncn3)nc2c1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ccc4ncccc4n3)[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccc3ncccc3n2)c1)c1ccccc1; [None]; [None]; [0]
-c1cnc2ccc(-c3ccc4c(c3)CCC4)nc2c1; [None]; [None]; [0]
-OCCn1cc(-c2ccc3ncccc3n2)cn1; [None]; [None]; [0]
-c1cnc2ccc(-c3cnco3)nc2c1; [None]; [None]; [0]
-c1cnc2ccc(-c3cnc4ccccn34)nc2c1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3ncccc3n2)c(Br)c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-c1cnc2ccc(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3ncccc3n2)s1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ccc2ncccc2n1; [None]; [None]; [0]
-CC(C)(C)Nc1ccc2ncccc2n1; [None]; [None]; [0]
-c1cnc2ccc(OC3CCCCC3)nc2c1; [None]; [None]; [0]
-Clc1cccc(-c2ccc3ncccc3n2)c1Cl; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
-c1cncc(CNc2ccc3ncccc3n2)c1; [None]; [None]; [0]
-Nc1nccc(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
-Cc1ncc(-c2ccc3ncccc3n2)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2ccc3ncccc3n2)c1; ['COc1cccc(Br)c1']; ['c1cnc2cccnc2c1']; [0.996848404]
-Clc1ccc(-c2ccc3ncccc3n2)s1; [None]; [None]; [0]
-c1ccc2cc(-c3ccc4ncccc4n3)ccc2c1; ['Brc1ccc2ccccc2c1', 'Br[Mg]c1ccc2ccccc2c1']; ['c1cnc2cccnc2c1', 'c1cnc2cccnc2c1']; [0.999081612, 0.999081612]
-c1cncc(Nc2ccc3ncccc3n2)c1; [None]; [None]; [0]
-c1cnc2ccc(-n3cnc4ccccc43)nc2c1; ['c1ccc2[nH]cnc2c1']; ['c1cnc2cccnc2c1']; [0.998700261]
-C[C@H](CO)Nc1ccc2ncccc2n1; [None]; [None]; [0]
-CC(C)COc1ccc2ncccc2n1; ['CC(C)CO']; ['c1cnc2cccnc2c1']; [0.952583134]
-c1ccc2c(-c3ccc4ncccc4n3)cncc2c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ccc2ncccc2n1; [None]; [None]; [0]
-O=C(Nc1ccc2ncccc2n1)c1cccs1; [None]; [None]; [0]
-Cn1cncc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-OCc1cccc(-c2ccc3ncccc3n2)c1; ['OCc1cccc(Br)c1']; ['c1cnc2cccnc2c1']; [0.911907315]
-Oc1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
-c1coc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
-c1csc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
-CC(C)Nc1ccc2ncccc2n1; ['CC(C)N']; ['c1cnc2cccnc2c1']; [0.916827559]
-c1cnc2ccc(Nc3ccncc3)nc2c1; [None]; [None]; [0]
-N#CCCc1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ncccc3n2)cn1; ['Cn1cc(Br)cn1']; ['c1cnc2cccnc2c1']; [0.996624947]
-Fc1ccc(-c2ccc3ncccc3n2)c(C(F)(F)F)c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3ncccc3n2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['c1cnc2cccnc2c1']; [0.999996901]
-CC(=O)Nc1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc3ncccc3n2)no1; [None]; [None]; [0]
-CCCn1cc(-c2ccc3ncccc3n2)cn1; [None]; [None]; [0]
-CCC(=O)Nc1ccc2ncccc2n1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccc4ncccc4n3)c21; [None]; [None]; [0]
-CCOC(=O)Cc1ccc2ncccc2n1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
-c1cnc2ccc(-c3cnoc3)nc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3ccc4ncccc4n3)cc12; [None]; [None]; [0]
-c1cnc2ccc(-c3c[nH]c4ccccc34)nc2c1; ['c1ccc2[nH]ccc2c1']; ['c1cnc2cccnc2c1']; [0.884707093]
-CC(C)(N)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
-c1ccc2ncc(Nc3ccc4ncccc4n3)cc2c1; [None]; [None]; [0]
-CCN(CC)c1ccc2ncccc2n1; ['CCNCC']; ['c1cnc2cccnc2c1']; [0.964521]
-c1cnc2ccc(-c3c[nH]c4cnccc34)nc2c1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc3ncccc3n2)C1; [None]; [None]; [0]
-COc1ccncc1Nc1ccc2ncccc2n1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc3ncccc3n2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccc2ncccc2n1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ccc2ncccc2n1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc3ncccc3n2)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ccc2ncccc2n1; [None]; [None]; [0]
-Oc1ncccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-COc1ccc(-c2ccc3ncccc3n2)c(OC)c1; ['COc1cccc(OC)c1']; ['c1cnc2cccnc2c1']; [0.994795]
-c1ccc2c(c1)cnn2-c1ccc2ncccc2n1; [None]; [None]; [0]
-c1cnc2ccc(Cc3ccncc3)nc2c1; ['Cc1ccncc1']; ['c1cnc2cccnc2c1']; [0.794729412]
-c1cnc2ccc(OC3CCOCC3)nc2c1; ['OC1CCOCC1']; ['c1cnc2cccnc2c1']; [0.919184685]
-c1cnc2ccc(-n3ccnc3)nc2c1; [None]; [None]; [0]
-Oc1ccc2nc(-c3ccc4ncccc4n3)[nH]c2c1; [None]; [None]; [0]
-Nc1nnc(-c2ccc3ncccc3n2)s1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccc3ncccc3n2)cc1; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; ['c1cnc2cccnc2c1']; [0.99926728]
-Cc1cncc(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3ncccc3n2)s1; [None]; [None]; [0]
-c1cnc2ccc(-c3nc4ccccc4s3)nc2c1; [None]; [None]; [0]
-c1cc(-c2ccc3ncccc3n2)c2sccc2c1; ['Brc1cccc2ccsc12']; ['c1cnc2cccnc2c1']; [0.998279572]
-COc1cccc(F)c1-c1ccc2ncccc2n1; ['COc1cccc(F)c1Br']; ['c1cnc2cccnc2c1']; [0.999946475]
-c1cnc2ccc(-c3c[nH]c4cccnc34)nc2c1; [None]; [None]; [0]
-Nc1nc(-c2ccc3ncccc3n2)nc2ccccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-c1cncc(Cc2ccc3ncccc3n2)c1; [None]; [None]; [0]
-CC(C)(C)CNc1ccc2ncccc2n1; ['CC(C)(C)CN']; ['c1cnc2cccnc2c1']; [0.97004056]
-CC(C)(C)Oc1ccc2ncccc2n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc3ncccc3n2)c1; ['Cc1cccc(C)c1']; ['c1cnc2cccnc2c1']; [0.951403141]
-C[C@@]1(O)CC[C@H](c2ccc3ncccc3n2)CC1; [None]; [None]; [0]
-Oc1ccc(Nc2cc(O)ccn2)cc1; ['Nc1ccc(O)cc1', 'Nc1cc(O)ccn1']; ['Oc1ccnc(Br)c1', 'Oc1ccc(Cl)cc1']; [0.949490726, 0.949490726]
-COc1ccc(OC)c(-c2ccc3ncccc3n2)c1; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)cc1']; ['c1cnc2cccnc2c1', 'c1cnc2cccnc2c1']; [0.99939, 0.99939]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3ncccc3n2)C1; [None]; [None]; [0]
-c1cnc2ccc(N3CCC(c4nc5ccccc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
-Oc1ccnc(Nc2cccc3ncccc23)c1; ['Clc1cccc2ncccc12']; ['Nc1cc(O)ccn1']; [0.841789365]
-Oc1ccnc(Nc2ccncc2)c1; ['Nc1ccncc1', 'Brc1ccncc1']; ['Oc1ccnc(Cl)c1', 'Nc1cc(O)ccn1']; [0.997057199, 0.997057199]
-Oc1ccnc(Nc2cn[nH]c2)c1; ['Nc1cn[nH]c1', 'Nc1cn[nH]c1']; ['Oc1ccnc(Cl)c1', 'Oc1ccnc(Br)c1']; [0.999861, 0.999861]
-Oc1ccnc(Nc2n[nH]c3ccccc23)c1; ['Brc1n[nH]c2ccccc12', 'Clc1n[nH]c2ccccc12', 'Nc1n[nH]c2ccccc12', 'Nc1n[nH]c2ccccc12']; ['Nc1cc(O)ccn1', 'Nc1cc(O)ccn1', 'Oc1ccnc(Cl)c1', 'Oc1ccnc(Br)c1']; [0.992794812, 0.992794812, 0.992794812, 0.992794812]
-Oc1ccnc(Nc2c(F)cccc2F)c1; ['Nc1c(F)cccc1F']; ['Oc1ccnc(Br)c1']; [0.959279895]
-Cn1cc(Nc2cc(O)ccn2)cn1; ['Cn1cc(N)cn1']; ['Oc1ccnc(Cl)c1']; [0.999603093]
-NC(=O)c1ccc(Nc2cc(O)ccn2)cc1; ['NC(=O)c1ccc(N)cc1']; ['Oc1ccnc(Cl)c1']; [0.999727905]
-Oc1ccnc(Nc2c(Cl)cccc2Cl)c1; ['Nc1c(Cl)cccc1Cl']; ['Oc1ccnc(Br)c1']; [0.967416644]
-Oc1ccnc(Nc2ccc(Cl)c(O)c2)c1; ['Nc1ccc(Cl)c(O)c1']; ['Oc1ccnc(Cl)c1']; [0.957365751]
-Nc1nccc(Nc2cc(O)ccn2)n1; ['Nc1cc(O)ccn1']; ['Nc1nccc(Cl)n1']; [0.99316448]
-CNS(=O)(=O)c1ccc(Nc2cc(O)ccn2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['Oc1ccnc(Cl)c1']; [0.999175966]
-Oc1ccnc(Nc2ccc(O)cc2Cl)c1; ['Nc1ccc(O)cc1Cl']; ['Oc1ccnc(Cl)c1']; [0.939159274]
-Cc1ncc(Nc2cc(O)ccn2)[nH]1; [None]; [None]; [0]
-Oc1ccnc(Nc2ccccc2Cl)c1; ['Nc1ccccc1Cl']; ['Oc1ccnc(Cl)c1']; [0.848223]
-C[C@@H](O)CNc1cc(O)ccn1; ['C[C@@H](O)CN']; ['Oc1ccnc(Br)c1']; [0.964107215]
-Oc1ccnc(Nc2cc[nH]c2)c1; [None]; [None]; [0]
-Oc1ccnc(N[C@@H]2C[C@H](O)C2)c1; [None]; [None]; [0]
-N#Cc1ccc(Nc2cc(O)ccn2)cc1; ['N#Cc1ccc(N)cc1', 'N#Cc1ccc(Br)cc1']; ['Oc1ccnc(Br)c1', 'Nc1cc(O)ccn1']; [0.999567091, 0.999567091]
-COc1cc(Nc2cc(O)ccn2)ccc1O; ['COc1cc(Cl)ccc1O']; ['Nc1cc(O)ccn1']; [0.990766048]
-N#Cc1cnc(Nc2cc(O)ccn2)cn1; ['N#Cc1cnc(Br)cn1', 'N#Cc1cnc(Cl)cn1', 'N#Cc1cnc(N)cn1']; ['Nc1cc(O)ccn1', 'Nc1cc(O)ccn1', 'Oc1ccnc(Br)c1']; [0.998779714, 0.998779714, 0.998779714]
-OC[C@H](O)CNc1cc(O)ccn1; ['NC[C@@H](O)CO', 'Nc1cc(O)ccn1']; ['Oc1ccnc(Cl)c1', 'OC[C@H](O)CCl']; [0.983144164, 0.983144164]
-Oc1ccnc(Nc2cnccn2)c1; ['Clc1cnccn1', 'Fc1cnccn1']; ['Nc1cc(O)ccn1', 'Nc1cc(O)ccn1']; [0.989316225, 0.989316225]
-COC(=O)c1ccc(Nc2cc(O)ccn2)o1; [None]; [None]; [0]
-N#Cc1ccc(Nc2cc(O)ccn2)cn1; ['N#Cc1ccc(Br)cn1']; ['Nc1cc(O)ccn1']; [0.986901]
-Oc1ccnc(Nc2ccoc2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2cccc(Br)c2)c1; ['Nc1cccc(Br)c1']; ['Oc1ccnc(Cl)c1']; [0.999818385]
-Oc1ccnc(Nc2ccc(O)cc2O)c1; ['Nc1cc(O)ccn1']; ['Oc1ccc(Br)c(O)c1']; [0.952916622]
-COC(=O)c1ccc(Cl)c(Nc2cc(O)ccn2)c1; ['COC(=O)c1ccc(Cl)c(N)c1']; ['Oc1ccnc(Br)c1']; [0.904633641]
-Oc1ccnc(Nc2ccc(F)c(Cl)c2)c1; ['Nc1ccc(F)c(Cl)c1']; ['Oc1ccnc(Cl)c1']; [0.996530592]
-Oc1ccnc(Nc2cccs2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2ccncn2)c1; ['Clc1ccncn1']; ['Nc1cc(O)ccn1']; [0.964995801]
-Oc1ccnc(NCOc2ccccc2Cl)c1; [None]; [None]; [0]
-Cc1ccc(O)cc1Nc1cc(O)ccn1; ['Cc1ccc(O)cc1N']; ['Oc1ccnc(Br)c1']; [0.977000475]
-Oc1ccnc(Nc2cc(O)ccc2Cl)c1; ['Nc1cc(O)ccc1Cl']; ['Oc1ccnc(Cl)c1']; [0.87477392]
-Cc1ccc(Nc2cc(O)ccn2)cc1C; ['Cc1ccc(N)cc1C', 'Cc1ccc(N)cc1C', 'Cc1ccc(Br)cc1C', 'Cc1ccc(Cl)cc1C']; ['Oc1ccnc(Cl)c1', 'Oc1ccnc(Br)c1', 'Nc1cc(O)ccn1', 'Nc1cc(O)ccn1']; [0.999893427, 0.999893427, 0.999893427, 0.999893427]
-Cc1ccc(CO)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
-COc1cc(Nc2cc(O)ccn2)cc(OC)c1; ['COc1cc(N)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1']; ['Oc1ccnc(Cl)c1', 'Nc1cc(O)ccn1']; [0.999835849, 0.999835849]
-COc1ccc(Nc2cc(O)ccn2)cc1OC; ['COc1ccc(N)cc1OC']; ['Oc1ccnc(Cl)c1']; [0.999506712]
-CS(=O)(=O)c1ccc(Nc2cc(O)ccn2)cc1; ['CS(=O)(=O)c1ccc(N)cc1']; ['Oc1ccnc(Br)c1']; [0.990958]
-Oc1ccnc(Nc2cnc(O)c(Cl)c2)c1; ['Nc1cc(O)ccn1']; ['Oc1ncc(Br)cc1Cl']; [0.963777125]
-Cc1nc2ccc(Nc3cc(O)ccn3)cc2[nH]1; ['Cc1nc2ccc(Br)cc2[nH]1']; ['Nc1cc(O)ccn1']; [0.990936816]
-Oc1ccnc(Nc2nc3ccccc3s2)c1; ['Brc1nc2ccccc2s1']; ['Nc1cc(O)ccn1']; [0.999465883]
-O=C1Cc2cc(Nc3cc(O)ccn3)ccc2N1; ['Nc1ccc2c(c1)CC(=O)N2', 'Nc1cc(O)ccn1']; ['Oc1ccnc(Cl)c1', 'O=C1Cc2cc(Cl)ccc2N1']; [0.998942077, 0.998942077]
-NC(=O)Nc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
-Cc1cc(O)ccc1Nc1cc(O)ccn1; ['Cc1cc(O)ccc1N']; ['Oc1ccnc(Br)c1']; [0.90866363]
-Oc1cncc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
-NC(=O)[C@@H]1CC[C@H](Nc2cc(O)ccn2)CC1; [None]; [None]; [0]
-Oc1ccnc(Nc2cc(Cl)c(O)c(Cl)c2)c1; ['Nc1cc(Cl)c(O)c(Cl)c1']; ['Oc1ccnc(Cl)c1']; [0.996368527]
-Cc1cccc(C)c1Nc1cc(O)ccn1; ['Cc1cccc(C)c1N']; ['Oc1ccnc(Br)c1']; [0.988984704]
-CCc1cc(O)ccc1Nc1cc(O)ccn1; ['CCc1cc(O)ccc1Cl']; ['Nc1cc(O)ccn1']; [0.999461114]
-Oc1ccnc(Nc2nccs2)c1; ['Clc1nccs1']; ['Nc1cc(O)ccn1']; [0.995878339]
-O=c1[nH]c2ccc(Nc3cc(O)ccn3)cc2[nH]1; ['Nc1cc(O)ccn1', 'Nc1ccc2[nH]c(=O)[nH]c2c1']; ['O=c1[nH]c2ccc(Br)cc2[nH]1', 'Oc1ccnc(Br)c1']; [0.995891213, 0.995891213]
-CCc1sccc1Nc1cc(O)ccn1; [None]; [None]; [0]
-Nc1cc(Nc2cc(O)ccn2)[nH]n1; ['Nc1cc(Br)[nH]n1']; ['Nc1cc(O)ccn1']; [0.909423828]
-CNC(=O)c1ccc(Nc2cc(O)ccn2)cc1; ['CNC(=O)c1ccc(N)cc1']; ['Oc1ccnc(Cl)c1']; [0.999425292]
-Cc1csc(Nc2cc(O)ccn2)n1; ['Cc1csc(N)n1']; ['Oc1ccnc(Cl)c1']; [0.987639487]
-Oc1ccnc(Nc2ccc3c(c2)CCN3)c1; ['Brc1ccc2c(c1)CCN2', 'Clc1ccc2c(c1)CCN2']; ['Nc1cc(O)ccn1', 'Nc1cc(O)ccn1']; [0.999536633, 0.999536633]
-Oc1cc(Br)cc(Nc2cc(O)ccn2)c1; ['Nc1cc(O)ccn1', 'Nc1cc(O)ccn1']; ['Oc1cc(Cl)cc(Br)c1', 'Oc1cc(F)cc(Br)c1']; [0.998191178, 0.998191178]
-Oc1ccnc(Nc2ccc(Br)cc2F)c1; ['Nc1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Cl']; ['Oc1ccnc(Cl)c1', 'Nc1cc(O)ccn1']; [0.999859333, 0.999859333]
-Cc1ccc(Nc2cc(O)ccn2)nc1C; ['Cc1ccc(N)nc1C']; ['Oc1ccnc(Cl)c1']; [0.989473641]
-Cc1ccc(Nc2cc(O)ccn2)c(C)n1; ['Cc1ccc(Br)c(C)n1']; ['Nc1cc(O)ccn1']; [0.996688902]
-Cc1nc2ccc(Nc3cc(O)ccn3)cc2o1; ['Cc1nc2ccc(N)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Cl)cc2o1']; ['Oc1ccnc(Cl)c1', 'Nc1cc(O)ccn1', 'Nc1cc(O)ccn1']; [0.999979377, 0.999979377, 0.999979377]
-CSc1cccc(Nc2cc(O)ccn2)c1; ['CSc1cccc(N)c1']; ['Oc1ccnc(Br)c1']; [0.980186343]
-Oc1ccnc(Nc2cnco2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2cc(F)c(O)c(F)c2)c1; ['Nc1cc(F)c(O)c(F)c1', 'Nc1cc(F)c(O)c(F)c1', 'Nc1cc(O)ccn1']; ['Oc1ccnc(Cl)c1', 'Oc1ccnc(Br)c1', 'Oc1c(F)cc(Cl)cc1F']; [0.999769747, 0.999769747, 0.999769747]
-Oc1ccnc(Nc2ccc(F)cc2Cl)c1; ['Nc1ccc(F)cc1Cl', 'Fc1ccc(Cl)c(Cl)c1']; ['Oc1ccnc(Cl)c1', 'Nc1cc(O)ccn1']; [0.985178769, 0.985178769]
-COc1ncccc1Nc1cc(O)ccn1; ['COc1ncccc1N']; ['Oc1ccnc(Cl)c1']; [0.995455861]
-O=c1[nH][nH]c2cc(Nc3cc(O)ccn3)ccc12; [None]; [None]; [0]
-CCOc1ccc(Nc2cc(O)ccn2)cc1; ['CCOc1ccc(Br)cc1', 'CCOc1ccc(N)cc1']; ['Nc1cc(O)ccn1', 'Oc1ccnc(Br)c1']; [0.982601, 0.982601]
-CS(=O)(=O)c1cccc(Nc2cc(O)ccn2)c1; ['CS(=O)(=O)c1cccc(N)c1']; ['Oc1ccnc(Cl)c1']; [0.996080697]
-Cc1nn(C)cc1Nc1cc(O)ccn1; ['Cc1nn(C)cc1N']; ['Oc1ccnc(Br)c1']; [0.873537064]
-Cc1n[nH]cc1Nc1cc(O)ccn1; [None]; [None]; [0]
-COc1cc(Nc2cc(O)ccn2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC']; ['Nc1cc(O)ccn1', 'Oc1ccnc(Br)c1']; [0.998536468, 0.998536468]
-Oc1cccc(Nc2cc(O)ccn2)c1; ['Nc1cccc(O)c1']; ['Oc1ccnc(Cl)c1']; [0.999280512]
-COc1ccc(Nc2cc(O)ccn2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(Cl)cc1']; ['Oc1ccnc(Cl)c1', 'Nc1cc(O)ccn1']; [0.998829663, 0.998829663]
-Cn1nncc1Nc1cc(O)ccn1; [None]; [None]; [0]
-Oc1ccnc(Nc2cnc3cccnn23)c1; ['Brc1cnc2cccnn12']; ['Nc1cc(O)ccn1']; [0.999695778]
-O=C(Nc1ccccc1)c1ccc(Nc2cc(O)ccn2)cc1; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; ['Oc1ccnc(Cl)c1']; [0.998571038]
-Oc1ccnc(NNc2ncccn2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2nc3ccccc3[nH]2)c1; ['Clc1nc2ccccc2[nH]1']; ['Nc1cc(O)ccn1']; [0.99470973]
-Oc1ccnc(Nc2cccc(F)c2)c1; ['Nc1cccc(F)c1']; ['Oc1ccnc(Cl)c1']; [0.999659538]
-Oc1ccnc(Nc2ccc(Cl)cc2)c1; [None]; [None]; [0]
-OCCOc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
-Oc1ccnc(NCc2nccc3ccccc23)c1; ['NCc1nccc2ccccc12']; ['Oc1ccnc(Cl)c1']; [0.991103768]
-Oc1ccnc(Nc2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2ccc(C(F)(F)F)cc2)c1; ['Nc1ccc(C(F)(F)F)cc1']; ['Oc1ccnc(Cl)c1']; [0.998379]
-OCCCNc1cc(O)ccn1; ['NCCCO', 'Nc1cc(O)ccn1']; ['Oc1ccnc(Cl)c1', 'OCCCCl']; [0.983716488, 0.983716488]
-Cc1cc(Nc2cc(O)ccn2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2cc(O)ccn2)cc1; ['CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(Br)cc1']; ['Oc1ccnc(Cl)c1', 'Nc1cc(O)ccn1']; [0.999437153, 0.999437153]
-Oc1ccnc(Nc2cncnc2)c1; ['Nc1cncnc1']; ['Oc1ccnc(Cl)c1']; [0.999702394]
-Oc1ccnc(Nc2cnc(Cl)nc2)c1; ['Nc1cnc(Cl)nc1']; ['Oc1ccnc(Cl)c1']; [0.994097352]
-Cc1nc(C)c(Nc2cc(O)ccn2)s1; [None]; [None]; [0]
-COc1ccc(Cl)cc1Nc1cc(O)ccn1; ['COc1ccc(Cl)cc1N']; ['Oc1ccnc(Br)c1']; [0.986243308]
-Oc1ccnc(Nc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2ccc(Br)cc2)c1; ['Nc1ccc(Br)cc1', 'Clc1ccc(Br)cc1']; ['Oc1ccnc(Br)c1', 'Nc1cc(O)ccn1']; [0.906008065, 0.906008065]
-Oc1ccnc(Nc2cc3ccccc3cn2)c1; ['Nc1cc2ccccc2cn1', 'Clc1cc2ccccc2cn1']; ['Oc1ccnc(Cl)c1', 'Nc1cc(O)ccn1']; [0.989265323, 0.989265323]
-Oc1ccnc(Nc2ccc3c(c2)CCO3)c1; ['Nc1ccc2c(c1)CCO2']; ['Oc1ccnc(Cl)c1']; [0.999975324]
-Oc1ccnc(Nc2ccc[nH]2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(Nc2cc(O)ccn2)c1; ['CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1']; ['Oc1ccnc(Cl)c1', 'Oc1ccnc(Br)c1']; [0.998965502, 0.998965502]
-Oc1ccnc(Nc2scc3c2OCCO3)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2ccc(F)c(F)c2)c1; ['Nc1ccc(F)c(F)c1', 'Fc1ccc(Cl)cc1F']; ['Oc1ccnc(Br)c1', 'Nc1cc(O)ccn1']; [0.999943852, 0.999943852]
-Oc1ccnc(Nc2cnc3ccccc3c2)c1; ['Nc1cnc2ccccc2c1']; ['Oc1ccnc(Br)c1']; [0.998895109]
-Oc1ccnc(Nc2cccc3c2OCO3)c1; [None]; [None]; [0]
-Oc1ccnc(N[C@@H]2CC[C@@H](O)CC2)c1; ['N[C@H]1CC[C@H](O)CC1', 'N[C@H]1CC[C@H](O)CC1']; ['Oc1ccnc(Br)c1', 'Oc1ccnc(Cl)c1']; [0.999510884, 0.999510884]
-CC(C)(C)c1ccc(Nc2cc(O)ccn2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Cl)cc1']; ['Oc1ccnc(Br)c1', 'Nc1cc(O)ccn1']; [0.999014139, 0.999014139]
-Cc1cc(Nc2cc(O)ccn2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Nc1cc(O)ccn1']; [0.962158442]
-Oc1ccnc(Nc2ccco2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2ncc(Br)cn2)c1; ['Fc1ncc(Br)cn1']; ['Nc1cc(O)ccn1']; [0.997954607]
-Oc1ccnc(N[C@H]2CC[C@@H](O)C2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2ccsc2)c1; ['Nc1ccsc1']; ['Oc1ccnc(Br)c1']; [0.997335136]
-Oc1ccnc(Nc2ccc(Cl)cc2Cl)c1; ['Nc1ccc(Cl)cc1Cl', 'Clc1ccc(Cl)c(Cl)c1']; ['Oc1ccnc(Cl)c1', 'Nc1cc(O)ccn1']; [0.967156172, 0.967156172]
-CC[C@@H](CO)Nc1cc(O)ccn1; ['CC[C@H](N)CO']; ['Oc1ccnc(Br)c1']; [0.808073]
-Cc1cc(C)cc(Nc2cc(O)ccn2)c1; ['Cc1cc(C)cc(N)c1']; ['Oc1ccnc(Cl)c1']; [0.999019742]
-CCc1ccc(Nc2cc(O)ccn2)cc1; ['CCc1ccc(Br)cc1', 'CCc1ccc(N)cc1']; ['Nc1cc(O)ccn1', 'Oc1ccnc(Br)c1']; [0.996730089, 0.996730089]
-COc1cc(F)c(Nc2cc(O)ccn2)cc1OC; ['COc1cc(F)c(F)cc1OC']; ['Nc1cc(O)ccn1']; [0.991171777]
-Cn1cc(Nc2cc(O)ccn2)c(C(F)(F)F)n1; ['Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(Cl)c(C(F)(F)F)n1']; ['Nc1cc(O)ccn1', 'Nc1cc(O)ccn1']; [0.999916196, 0.999916196]
-COc1ccc2cccc(Nc3cc(O)ccn3)c2c1; [None]; [None]; [0]
-Oc1ccnc(Nc2cccc3ccc(O)cc23)c1; ['Nc1cccc2ccc(O)cc12']; ['Oc1ccnc(Cl)c1']; [0.999129117]
-COc1cc(Nc2cc(O)ccn2)ccc1Cl; ['COc1cc(N)ccc1Cl']; ['Oc1ccnc(Br)c1']; [0.999575794]
-Oc1ccnc(Nc2ccc3cn[nH]c3c2)c1; ['Nc1ccc2cn[nH]c2c1']; ['Oc1ccnc(Cl)c1']; [0.99998939]
-COc1cc(Nc2cc(O)ccn2)c(OC)cc1Br; [None]; [None]; [0]
-Oc1ccnc(Nc2ccc(OC(F)(F)F)cc2)c1; ['Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1']; ['Oc1ccnc(Br)c1', 'Nc1cc(O)ccn1']; [0.999946356, 0.999946356]
-Cc1ccc(Nc2cc(O)ccn2)o1; [None]; [None]; [0]
-Oc1ccnc(Nc2cscn2)c1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(Nc2cc(O)ccn2)c1; ['Nc1cccc(N2CCCC2=O)c1']; ['Oc1ccnc(Br)c1']; [0.999267161]
-OCCc1ccc(Nc2cc(O)ccn2)cc1; ['Nc1ccc(CCO)cc1', 'Nc1cc(O)ccn1']; ['Oc1ccnc(Br)c1', 'OCCc1ccc(Br)cc1']; [0.997338951, 0.997338951]
-CS(=O)(=O)c1ccc(Cl)c(Nc2cc(O)ccn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Cl)c1']; ['Nc1cc(O)ccn1']; [0.899235249]
-Oc1ccnc(Nc2cc3ccccc3o2)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-CCc1cccc(Nc2cc(O)ccn2)n1; ['CCc1cccc(N)n1']; ['Oc1ccnc(Br)c1']; [0.999648809]
-COc1cc(N2CCNCC2)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-COc1ncccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-CCOc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Cn1nncc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-COc1cc(-c2cccc3cnc(N)cc23)cc(OC)c1OC; [None]; [None]; [0]
-Nc1cc2c(-c3cnc4cccnn34)cccc2cn1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-Nc1cc2c(-c3nc4ccccc4[nH]3)cccc2cn1; [None]; [None]; [0]
-COc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Cn1cc(-c2cccc3cnc(N)cc23)cn1; [None]; [None]; [0]
-Nc1cc2c(Nc3ncccn3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(O)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(C(=O)Nc4ccccc4)cc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(F)c3)cccc2cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(Cl)cc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(OCCO)cc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(Cc3nccc4ccccc34)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(C4CCNCC4)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(CCCO)cccc2cn1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Cc1cc(-c2cccc3cnc(N)cc23)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cccc3cnc(N)cc23)s1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(C(F)(F)F)cc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cncnc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(Br)cc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cn[nH]c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cnc(Cl)nc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3c[nH]c4ccccc34)cccc2cn1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3ccc4c(c3)CCO4)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cc4ccccc4cn3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc[nH]3)cccc2cn1; [None]; [None]; [0]
-COc1cc(-c2cccc3cnc(N)cc23)ccc1O; [None]; [None]; [0]
-Nc1cc2c(-c3cccc4c3OCO4)cccc2cn1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(F)c(F)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3scc4c3OCCO4)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccco3)cccc2cn1; [None]; [None]; [0]
-Cc1cc(-c2cccc3cnc(N)cc23)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-Nc1cc2c(-c3cnc4ccccc4c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c([C@@H]3CC[C@@H](O)CC3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(F)cc3Cl)cccc2cn1; [None]; [None]; [0]
-CC[C@@H](CO)c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c([C@H]3CC[C@@H](O)C3)cccc2cn1; [None]; [None]; [0]
-COc1ccc(-c2cccc3cnc(N)cc23)cc1OC; [None]; [None]; [0]
-Nc1cc2c(-c3ncc(Br)cn3)cccc2cn1; [None]; [None]; [0]
-CCc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Nc1cc2c(-c3ccsc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(Cl)cc3Cl)cccc2cn1; [None]; [None]; [0]
-Cn1cc(-c2cccc3cnc(N)cc23)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cccc4cnc(N)cc34)c2c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cccc3cnc(N)cc23)cc1OC; [None]; [None]; [0]
-Nc1cc2c(-c3cccc4ccc(O)cc34)cccc2cn1; [None]; [None]; [0]
-COc1cc(-c2cccc3cnc(N)cc23)ccc1Cl; [None]; [None]; [0]
-COc1cc(-c2cccc3cnc(N)cc23)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3cnc(N)cc23)o1; [None]; [None]; [0]
-Nc1cc2c(-c3cc4ccccc4o3)cccc2cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc4cn[nH]c4c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cscn3)cccc2cn1; [None]; [None]; [0]
-CCc1cccc(-c2cccc3cnc(N)cc23)n1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(OC(F)(F)F)cc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(CCO)cc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(N4CCCC4=O)c3)cccc2cn1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3cnc(N)cc23)nc1C; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-CCOc1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c([C@@H]3C[C@H](O)C3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(Cc3cc(F)cc(F)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cc[nH]n3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccnc4ccccc34)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(C(F)(F)F)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccccc3F)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccccc3Cl)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccnc3)cccc2cn1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3ccccc3Br)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccccc3OC(F)(F)F)cccc2cn1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3c(F)cccc3F)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cnn(Cc4ccccc4)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c([C@@H](N)c3ccco3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cnc(-c4ccccc4)[nH]3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccncn3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cnn(CCO)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc4c(c3)CCC4)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(NC(=O)c4ccccc4)c3)cccc2cn1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3cnc(N)cc23)c(Br)c1; [None]; [None]; [0]
-Nc1cc2c(-c3cnc4ccccn34)cccc2cn1; [None]; [None]; [0]
-CC(C)(C)Nc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3cnco3)cccc2cn1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3c(Cl)cccc3Cl)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(Cl)c3Cl)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(OC3CCCCC3)cccc2cn1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-Cc1ncc(-c2cccc3cnc(N)cc23)[nH]1; [None]; [None]; [0]
-Nc1cc2c(-c3ccnc(N)n3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(NCc3cccnc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc4ccccc4c3)cccc2cn1; [None]; [None]; [0]
-COc1cccc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(Cl)s3)cccc2cn1; [None]; [None]; [0]
-C[C@H](CO)Nc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(Nc3cccnc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-n3cnc4ccccc43)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(NC(=O)c3cccs3)cccc2cn1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cccc2cnc(N)cc12; [None]; [None]; [0]
-CC(C)COc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3cncc4ccccc34)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(CO)c3)cccc2cn1; [None]; [None]; [0]
-Cn1cncc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(Nc3ccncc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccs3)cccc2cn1; [None]; [None]; [0]
-CC(C)Nc1cccc2cnc(N)cc12; [None]; [None]; [0]
-N#CCCc1cccc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-CCC(=O)Nc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(F)cc3C(F)(F)F)cccc2cn1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Cc1cc(-c2cccc3cnc(N)cc23)no1; [None]; [None]; [0]
-Nc1cc2c(-c3cnoc3)cccc2cn1; [None]; [None]; [0]
-COc1ccc(-c2cccc3cnc(N)cc23)cc1Cl; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc4c3C(=O)CC4)cccc2cn1; [None]; [None]; [0]
-CCCn1cc(-c2cccc3cnc(N)cc23)cn1; [None]; [None]; [0]
-CCN(CC)c1cccc2cnc(N)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1cccc2cnc(N)cc12; [None]; [None]; [0]
-COc1ccncc1Nc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(Nc3cnc4ccccc4c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cc4c(=O)[nH]ccc4o3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c([C@H](CO)Cc3ccccc3)cccc2cn1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cccc3cnc(N)cc23)C1; [None]; [None]; [0]
-Nc1cc2c(-c3c[nH]c4cnccc34)cccc2cn1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccc2cnc(N)cc12; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Nc1cc2c(-c3cccnc3O)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-n3ncc4c(O)cccc43)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-n3ncc4ccccc43)cccc2cn1; [None]; [None]; [0]
-COc1ccc(-c2cccc3cnc(N)cc23)c(OC)c1; [None]; [None]; [0]
-Nc1cc2c(-c3nc4ccc(O)cc4[nH]3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(Cc3ccncc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-n3ccnc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(C(=O)c4ccccc4)cc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(OC3CCOCC3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3nnc(N)s3)cccc2cn1; [None]; [None]; [0]
-Cc1cncc(-c2cccc3cnc(N)cc23)n1; [None]; [None]; [0]
-Nc1cc2c(-c3cnc(N)s3)cccc2cn1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3cccc4ccsc34)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3nc4ccccc4s3)cccc2cn1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3nc(N)c4ccccc4n3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3c[nH]c4cccnc34)cccc2cn1; [None]; [None]; [0]
-CC(C)(C)CNc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(Cc3cccnc3)cccc2cn1; [None]; [None]; [0]
-CC(C)(C)Oc1cccc2cnc(N)cc12; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
-Nc1cc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cccc2cn1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
-CCOc1ccccc1-c1cncc(O)n1; ['CCOc1ccccc1B(O)O']; ['Oc1cncc(Cl)n1']; [0.998997271]
-Nc1cc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)cccc2cn1; [None]; [None]; [0]
-Oc1cncc(-c2ccnc3ccccc23)n1; ['OB(O)c1ccnc2ccccc12']; ['Oc1cncc(Cl)n1']; [0.994792402]
-Oc1cncc(-c2cccnc2)n1; ['OB(O)c1cccnc1']; ['Oc1cncc(Cl)n1']; [0.99403882]
-Oc1cncc(-c2cc[nH]n2)n1; [None]; [None]; [0]
-Oc1cncc([C@@H]2C[C@H](O)C2)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccccc2F)n1; ['OB(O)c1ccccc1F']; ['Oc1cncc(Cl)n1']; [0.992014885]
-Oc1cncc(-c2ccccc2Br)n1; ['OB(O)c1ccccc1Br']; ['Oc1cncc(Cl)n1']; [0.996821046]
-N#Cc1ccccc1-c1cncc(O)n1; ['N#Cc1ccccc1B(O)O']; ['Oc1cncc(Cl)n1']; [0.998404324]
-Oc1cncc(-c2cccc(C(F)(F)F)c2)n1; ['OB(O)c1cccc(C(F)(F)F)c1']; ['Oc1cncc(Cl)n1']; [0.999775469]
-NC(=O)c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccccc2Cl)n1; [None]; [None]; [0]
-Oc1cncc(-c2cnn(Cc3ccccc3)c2)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccccc2OC(F)(F)F)n1; ['OB(O)c1ccccc1OC(F)(F)F']; ['Oc1cncc(Cl)n1']; [0.997766256]
-Oc1cncc(-c2c(F)cccc2F)n1; [None]; [None]; [0]
-OCCn1cc(-c2cncc(O)n2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Oc1cncc(Cl)n1']; [0.988962591]
-Oc1cncc(-c2ccc3c(c2)CCC3)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccncn2)n1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cncc(O)n2)c1)c1ccccc1; [None]; [None]; [0]
-Oc1cncc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cncc(O)n2)s1; [None]; [None]; [0]
-Cc1ccc(-c2cncc(O)n2)c(Br)c1; [None]; [None]; [0]
-Oc1cncc(-c2cnco2)n1; [None]; [None]; [0]
-Oc1cncc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
-Oc1cncc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cncc(O)n1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cncc(O)n2)c1; [None]; [None]; [0]
-Oc1cncc(-c2cccc(Cl)c2Cl)n1; ['OB(O)c1cccc(Cl)c1Cl']; ['Oc1cncc(Cl)n1']; [0.989488]
-COc1cccc(-c2cncc(O)n2)c1; ['COc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Oc1cncc(Cl)n1']; [0.999809086]
-Oc1cncc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
-Nc1nccc(-c2cncc(O)n2)n1; [None]; [None]; [0]
-Oc1cncc(-c2cncc3ccccc23)n1; ['OB(O)c1cncc2ccccc12']; ['Oc1cncc(Cl)n1']; [0.98022157]
-Cc1ncc(-c2cncc(O)n2)[nH]1; [None]; [None]; [0]
-Oc1cncc(-c2ccc3ccccc3c2)n1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C']; ['Oc1cncc(Cl)n1']; [0.999939799]
-Oc1cncc(-c2ccc(Cl)s2)n1; [None]; [None]; [0]
-OCc1cccc(-c2cncc(O)n2)c1; ['OCc1cccc(B(O)O)c1']; ['Oc1cncc(Cl)n1']; [0.998815656]
-Oc1cccc(-c2cncc(O)n2)c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['Oc1cncc(Cl)n1']; [0.999350727]
-Cn1cncc1-c1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccco2)n1; [None]; [None]; [0]
-Oc1cncc(-c2cccs2)n1; [None]; [None]; [0]
-Cn1cc(-c2cncc(O)n2)cn1; ['Cn1cc(B(O)O)cn1']; ['Oc1cncc(Cl)n1']; [0.994325817]
-OC[C@H](O)CCc1cncc(O)n1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
-CC[C@H](CO)c1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccc(F)cc2C(F)(F)F)n1; ['OB(O)c1ccc(F)cc1C(F)(F)F']; ['Oc1cncc(Cl)n1']; [0.999732673]
-CCC(=O)Nc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cncc(O)n2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Oc1cncc(Cl)n1']; [0.999003708]
-COc1ccc(-c2cncc(O)n2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Oc1cncc(Cl)n1']; [0.999770343]
-Cc1cc(-c2cncc(O)n2)no1; [None]; [None]; [0]
-Oc1cncc(-c2cnoc2)n1; [None]; [None]; [0]
-CCCn1cc(-c2cncc(O)n2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Oc1cncc(Cl)n1']; [0.999703825]
-C[S@](=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cncc(O)n3)c21; [None]; [None]; [0]
-Oc1cncc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
-Oc1cncc(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cncc(O)n3)cc12; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cncc(O)n2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cncc(O)n2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1cncc(Cl)n1']; [0.999403119]
-CNS(=O)(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cncc(O)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cncc(O)n2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1cncc(Cl)n1']; [0.999012351]
-Oc1cncc(-c2cccnc2O)n1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cncc(O)n1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cncc(O)n2)cc1; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; ['Oc1cncc(Cl)n1']; [0.998492837]
-Oc1ccc2nc(-c3cncc(O)n3)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2cncc(O)n2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Oc1cncc(Cl)n1']; [0.999321938]
-Nc1ncc(-c2cncc(O)n2)s1; [None]; [None]; [0]
-Cc1cncc(-c2cncc(O)n2)n1; [None]; [None]; [0]
-Nc1nnc(-c2cncc(O)n2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cncc(O)n1; ['COc1cccc(F)c1B(O)O']; ['Oc1cncc(Cl)n1']; [0.999786437]
-Oc1cncc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
-Oc1cncc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
-Oc1cncc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; ['Oc1cncc(Cl)n1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.990438282]
-COc1ccc(OC)c(-c2cncc(O)n2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Oc1cncc(Cl)n1']; [0.998892844]
-Cc1cc(C)cc(-c2cncc(O)n2)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Oc1cncc(Cl)n1']; [0.993867815]
-N#Cc1ccc(-c2cncc(O)n2)cc1; ['CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C']; ['Oc1cncc(Cl)n1']; [0.999999523]
-CCOc1ccc(-c2cncc(O)n2)cc1; ['CCOc1ccc(B(O)O)cc1']; ['Oc1cncc(Cl)n1']; [0.999437749]
-COc1ncccc1-c1cncc(O)n1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; ['Oc1cncc(Cl)n1', 'Oc1cncc(Cl)n1']; [0.994177341, 0.994177341]
-CS(=O)(=O)c1cccc(-c2cncc(O)n2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Oc1cncc(Cl)n1', 'Oc1cncc(Cl)n1']; [0.99998, 0.99998]
-COc1cc(-c2cncc(O)n2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['Oc1cncc(Cl)n1']; [0.999009728]
-Cc1n[nH]cc1-c1cncc(O)n1; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; ['Oc1cncc(Cl)n1']; [0.998712301]
-Cn1nncc1-c1cncc(O)n1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cncc(O)n1; [None]; [None]; [0]
-COc1ccc(-c2cncc(O)n2)cc1; ['COc1ccc(B(O)O)cc1']; ['Oc1cncc(Cl)n1']; [0.999023557]
-Oc1cncc(-c2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cncc(O)n2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['Oc1cncc(Cl)n1', 'Oc1cncc(Cl)n1']; [0.999996662, 0.999996662]
-Cc1cc(Nc2cncc(O)n2)sn1; ['Cc1cc(N)sn1']; ['Oc1cncc(Cl)n1']; [0.999308467]
-O=C(Nc1ccccc1)c1ccc(-c2cncc(O)n2)cc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C']; ['Oc1cncc(Cl)n1']; [0.999996305]
-Oc1cncc(Nc2ncccn2)n1; [None]; [None]; [0]
-Oc1cncc(Cc2nccc3ccccc23)n1; [None]; [None]; [0]
-Oc1cncc(-c2cccc(F)c2)n1; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C']; ['Oc1cncc(Cl)n1']; [0.999969959]
-Oc1cncc(-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
-O=C(Nc1cncc(O)n1)C1CC1; ['NC(=O)C1CC1']; ['Oc1cncc(Cl)n1']; [0.970083177]
-OCCOc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-Oc1cncc(Nc2ccncn2)n1; ['Nc1ccncn1']; ['Oc1cncc(Cl)n1']; [0.79177773]
-Oc1cncc(-c2cccc(C3CCNCC3)c2)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccc(C(F)(F)F)cc2)n1; ['OB(O)c1ccc(C(F)(F)F)cc1']; ['Oc1cncc(Cl)n1']; [0.999655724]
-Cc1cc(-c2cncc(O)n2)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2cncc(O)n2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Oc1cncc(Cl)n1']; [0.99999404]
-C[C@H](O)COc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-Oc1cncc(Cc2ccncc2)n1; [None]; [None]; [0]
-Oc1cncc(Cc2cccnc2)n1; [None]; [None]; [0]
-Oc1cncc(-c2cncnc2)n1; ['OB(O)c1cncnc1']; ['Oc1cncc(Cl)n1']; [0.996542275]
-Oc1cncc(-c2cnc(Cl)nc2)n1; ['OB(O)c1cnc(Cl)nc1']; ['Oc1cncc(Cl)n1']; [0.997137666]
-Oc1cncc(Cc2ccccc2O)n1; [None]; [None]; [0]
-Oc1cncc(-n2ccnc2)n1; [None]; [None]; [0]
-COc1ccc(Cc2cncc(O)n2)cc1; [None]; [None]; [0]
-OC[C@@H](O)Cc1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccc(Br)cc2)n1; ['OB(O)c1ccc(Br)cc1']; ['Oc1cncc(Cl)n1']; [0.999156833]
-Oc1cncc(-c2cn[nH]c2)n1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C']; ['Oc1cncc(Cl)n1']; [0.99941659]
-Oc1cncc(-c2ccc[nH]2)n1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cncc(O)n1; ['COc1ccc(Cl)cc1B(O)O']; ['Oc1cncc(Cl)n1']; [0.986034632]
-Oc1cncc(-c2ccc3c(c2)CCO3)n1; ['OB(O)c1ccc2c(c1)CCO2']; ['Oc1cncc(Cl)n1']; [0.999888539]
-Oc1cncc(-c2cc3ccccc3cn2)n1; [None]; [None]; [0]
-COc1cc(-c2cncc(O)n2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Oc1cncc(Cl)n1']; [0.999969]
-Oc1cncc(Cn2ccnc2)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccc(F)c(F)c2)n1; ['CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C']; ['Oc1cncc(Cl)n1']; [0.999992609]
-Oc1cncc(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
-Oc1cncc(-c2cnc3ccccc3c2)n1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C']; ['Oc1cncc(Cl)n1']; [0.999996662]
-Oc1cncc(-c2cccc3c2OCO3)n1; [None]; [None]; [0]
-COCCOc1cncc(O)n1; ['COCCO']; ['Oc1cncc(Cl)n1']; [0.818292916]
-CC(C)(C)c1ccc(-c2cncc(O)n2)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Oc1cncc(Cl)n1']; [0.999913573]
-CSc1cccc(-c2cncc(O)n2)c1; ['CSc1cccc(B(O)O)c1']; ['Oc1cncc(Cl)n1']; [0.99731195]
-CC1(COc2cncc(O)n2)COC1; ['CC1(CO)COC1']; ['Oc1cncc(Cl)n1']; [0.794930339]
-Cc1cc(-c2cncc(O)n2)nc(N)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccc(F)cc2Cl)n1; ['OB(O)c1ccc(F)cc1Cl']; ['Oc1cncc(Cl)n1']; [0.985489309]
-OC[C@H](Cc1ccccc1)c1cncc(O)n1; [None]; [None]; [0]
-COc1ccc(-c2cncc(O)n2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['Oc1cncc(Cl)n1', 'Oc1cncc(Cl)n1']; [0.999937534, 0.999937534]
-Oc1cncc([C@@H]2CC[C@@H](O)CC2)n1; [None]; [None]; [0]
-Oc1cncc([C@H]2CC[C@@H](O)C2)n1; [None]; [None]; [0]
-Oc1cncc(-c2ncc(Br)cn2)n1; [None]; [None]; [0]
-CCc1ccc(-c2cncc(O)n2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1']; ['Oc1cncc(Cl)n1', 'Oc1cncc(Cl)n1']; [0.999993801, 0.999993801]
-Oc1cncc(-c2ccsc2)n1; ['OB(O)c1ccsc1']; ['Oc1cncc(Cl)n1']; [0.999974251]
-Oc1cncc(-c2ccc(Cl)cc2Cl)n1; ['OB(O)c1ccc(Cl)cc1Cl']; ['Oc1cncc(Cl)n1']; [0.970641375]
-COc1ccc(CNc2cncc(O)n2)cc1; [None]; [None]; [0]
-Oc1ccc2cccc(-c3cncc(O)n3)c2c1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cncc(O)n3)c2c1; [None]; [None]; [0]
-COc1cc(-c2cncc(O)n2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['Oc1cncc(Cl)n1']; [0.99940896]
-Cn1cc(-c2cncc(O)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1nc(Nc2cncc(O)n2)sc1C; [None]; [None]; [0]
-Cc1ccc(-c2cncc(O)n2)o1; [None]; [None]; [0]
-COc1cc(F)c(-c2cncc(O)n2)cc1OC; [None]; [None]; [0]
-Oc1cncc(-c2ccc3cn[nH]c3c2)n1; [None]; [None]; [0]
-COc1cc(-c2cncc(O)n2)c(OC)cc1Br; [None]; [None]; [0]
-CC(C)Oc1cncc(O)n1; ['CC(C)O']; ['Oc1cncc(Cl)n1']; [0.907782853]
-Cc1cc(Nc2cncc(O)n2)nn1C; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cncc(O)n2)c1; ['COc1cc(OC)cc(B(O)O)c1']; ['Oc1cncc(Cl)n1']; [0.999042]
-CNC(=O)c1ccc(-c2cncc(O)n2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['Oc1cncc(Cl)n1']; [0.999984622]
-Oc1cncc(-c2cc3ccccc3o2)n1; [None]; [None]; [0]
-CCn1cc(-c2cncc(O)n2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Oc1cncc(Cl)n1']; [0.995718062]
-Oc1cncc(-c2ccc(OC(F)(F)F)cc2)n1; ['OB(O)c1ccc(OC(F)(F)F)cc1']; ['Oc1cncc(Cl)n1']; [0.999969721]
-COC(=O)Nc1cncc(O)n1; ['COC(N)=O']; ['Oc1cncc(Cl)n1']; [0.995010734]
-Oc1cncc(-c2cscn2)n1; [None]; [None]; [0]
-CCc1cccc(-c2cncc(O)n2)n1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cncc(O)n2)nc1C; [None]; [None]; [0]
-OCCc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-Oc1cncc(Nc2ccc(F)cn2)n1; ['Nc1ccc(F)cn1']; ['Oc1cncc(Cl)n1']; [0.987090409]
-COc1cc(N2CCNCC2)ccc1-c1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(Nc2ccccn2)n1; ['Nc1ccccn1']; ['Oc1cncc(Cl)n1']; [0.978194416]
-CNC(=O)c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cncc(O)n2)c1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-c1ccc2c(-c3ccc4nn[nH]c4c3)ccnc2c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2ccc3nn[nH]c3c2)C1; [None]; [None]; [0]
-c1cncc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-Clc1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1cc(-c2ccc3nn[nH]c3c2)n[nH]1; [None]; [None]; [0]
-Brc1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-Fc1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ccc4nn[nH]c4c3)[nH]2)cc1; [None]; [None]; [0]
-N#Cc1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4nn[nH]c4c3)cn2)cc1; [None]; [None]; [0]
-N[C@H](c1ccc2nn[nH]c2c1)c1ccco1; [None]; [None]; [0]
-OCCn1cc(-c2ccc3nn[nH]c3c2)cn1; [None]; [None]; [0]
-c1cc2c(cc1-c1ccc3nn[nH]c3c1)CCC2; [None]; [None]; [0]
-c1cc(-c2ccc3nn[nH]c3c2)ncn1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3nn[nH]c3c2)c(Br)c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccc3nn[nH]c3c2)c1)c1ccccc1; [None]; [None]; [0]
-c1ccn2c(-c3ccc4nn[nH]c4c3)cnc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3nn[nH]c3c2)s1; [None]; [None]; [0]
-c1ncc(-c2ccc3nn[nH]c3c2)o1; [None]; [None]; [0]
-c1cnn2c(-c3ccc4nn[nH]c4c3)cnc2c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1cc2nn[nH]c2cc1OC1CCCCC1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-CC(C)(C)Nc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1cncc(CNc2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc3nn[nH]c3c2)[nH]1; [None]; [None]; [0]
-Clc1cccc(-c2ccc3nn[nH]c3c2)c1Cl; [None]; [None]; [0]
-COc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-c1ccc2cc(-c3ccc4nn[nH]c4c3)ccc2c1; [None]; [None]; [0]
-Nc1nccc(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
-c1cncc(Nc2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-C[C@H](CO)Nc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CC(C)COc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-Clc1ccc(-c2ccc3nn[nH]c3c2)s1; [None]; [None]; [0]
-O=C(Nc1ccc2nn[nH]c2c1)c1cccs1; [None]; [None]; [0]
-c1ccc2c(c1)ncn2-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1ccc2c(-c3ccc4nn[nH]c4c3)cncc2c1; [None]; [None]; [0]
-Oc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-OCc1cccc(-c2ccc3nn[nH]c3c2)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C']; ['c1ccc2[nH]nnc2c1']; [0.905644]
-Cn1cncc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1cc(Nc2ccc3nn[nH]c3c2)ccn1; [None]; [None]; [0]
-c1csc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3nn[nH]c3c2)cn1; [None]; [None]; [0]
-c1coc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-CC(C)Nc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
-N#CCCc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-Fc1ccc(-c2ccc3nn[nH]c3c2)c(C(F)(F)F)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3nn[nH]c3c2)cc1Cl; [None]; [None]; [0]
-c1cc2nn[nH]c2cc1-c1cnoc1; [None]; [None]; [0]
-Cc1cc(-c2ccc3nn[nH]c3c2)no1; [None]; [None]; [0]
-CCCn1cc(-c2ccc3nn[nH]c3c2)cn1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccc4nn[nH]c4c3)c21; [None]; [None]; [0]
-CCOC(=O)Cc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CCN(CC)c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3ccc4nn[nH]c4c3)cc12; [None]; [None]; [0]
-COc1ccncc1Nc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1ccc2c(-c3ccc4nn[nH]c4c3)c[nH]c2c1; [None]; [None]; [0]
-c1ccc2ncc(Nc3ccc4nn[nH]c4c3)cc2c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1cc2c(-c3ccc4nn[nH]c4c3)c[nH]c2cn1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc3nn[nH]c3c2)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc3nn[nH]c3c2)CC1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc3nn[nH]c3c2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-Oc1ccc2nc(-c3ccc4nn[nH]c4c3)[nH]c2c1; [None]; [None]; [0]
-c1cc(Cc2ccc3nn[nH]c3c2)ccn1; [None]; [None]; [0]
-Oc1ncccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
-c1cc2nn[nH]c2cc1OC1CCOCC1; [None]; [None]; [0]
-COc1ccc(-c2ccc3nn[nH]c3c2)c(OC)c1; [None]; [None]; [0]
-Nc1nnc(-c2ccc3nn[nH]c3c2)s1; ['NNC(N)=S']; ['O=C(O)c1ccc2nn[nH]c2c1']; [0.996817708]
-Nc1ncc(-c2ccc3nn[nH]c3c2)s1; [None]; [None]; [0]
-c1cn(-c2ccc3nn[nH]c3c2)cn1; [None]; [None]; [0]
-c1ccc2sc(-c3ccc4nn[nH]c4c3)nc2c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-Cc1cncc(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
-Nc1nc(-c2ccc3nn[nH]c3c2)nc2ccccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1cc(-c2ccc3nn[nH]c3c2)c2sccc2c1; [None]; [None]; [0]
-CC(C)(C)CNc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1cncc(Cc2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc4nn[nH]c4c3)c[nH]c2c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ccc3nn[nH]c3c2)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-CC(C)(C)Oc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-O=C(NCc1ccc(O)cc1)c1ccccc1; ['NCc1ccc(O)cc1', 'CCOC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'NCc1ccc(O)cc1']; [0.990009367, 0.990009367]
-c1ccc2[nH]c(C3CCN(c4ccc5nn[nH]c5c4)CC3)nc2c1; [None]; [None]; [0]
-O=C(NCc1ccncc1)c1ccccc1; ['NCc1ccncc1', 'NCc1ccncc1', 'NC(=O)c1ccccc1']; ['OCc1ccccc1', 'O=Cc1ccccc1', 'OCc1ccncc1']; [0.999729, 0.999729, 0.999729]
-COc1ccc(OC)c(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-O=C(NCc1cccc2ncccc12)c1ccccc1; ['NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; ['OCc1cccc2ncccc12', 'O=Cc1cccc2ncccc12']; [0.995573759, 0.995573759]
-CCc1ccc(CNC(=O)c2ccccc2)cc1; ['CCc1ccc(CN)cc1']; ['Cc1ccccc1']; [0.995524883]
-O=C(NCc1ccc(Cl)c(O)c1)c1ccccc1; ['O=C(NCO)c1ccccc1']; ['Oc1ccccc1Cl']; [0.877438784]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3nn[nH]c3c2)C1; [None]; [None]; [0]
-Cn1cc(CNC(=O)c2ccccc2)cn1; ['Cn1cc(CN)cn1']; ['O=C(O)c1ccccc1']; [0.999921441]
-O=C(NCc1c(F)cccc1F)c1ccccc1; ['NC(=O)c1ccccc1']; ['OCc1c(F)cccc1F']; [0.981637895]
-O=C(NCc1cn[nH]c1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1n[nH]c2ccccc12)c1ccccc1; ['NCc1n[nH]c2ccccc12', 'NCc1n[nH]c2ccccc12']; ['O=C(Cl)c1ccccc1', 'O=C([O-])c1ccccc1']; [0.999467671, 0.999467671]
-CNS(=O)(=O)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(CNC(=O)c2ccccc2)cc1; ['NCc1ccc(C(N)=O)cc1', 'NCc1ccc(C(N)=O)cc1', 'NCc1ccc(C(N)=O)cc1', 'COC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(ON1C(=O)CCC1=O)c1ccccc1', 'O=C(O)c1ccccc1', 'NCc1ccc(C(N)=O)cc1']; [0.99979955, 0.99979955, 0.99979955, 0.99979955]
-O=C(NCOc1ccc(F)cc1)c1ccccc1; ['O=C(NCO)c1ccccc1']; ['Oc1ccc(F)cc1']; [0.874772787]
-O=C(NCc1c(Cl)cccc1Cl)c1ccccc1; ['NCc1c(Cl)cccc1Cl', 'NCc1c(Cl)cccc1Cl', 'N#Cc1ccccc1', 'CC(C)(C)OOC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'NCc1c(Cl)cccc1Cl', 'NCc1c(Cl)cccc1Cl', 'NCc1c(Cl)cccc1Cl', 'OCc1c(Cl)cccc1Cl']; [0.999208272, 0.999208272, 0.999208272, 0.999208272, 0.999208272, 0.999208272]
-O=C(NCc1ccc(O)cc1Cl)c1ccccc1; ['O=C(NCO)c1ccccc1']; ['Oc1cccc(Cl)c1']; [0.938531518]
-Nc1nccc(CNC(=O)c2ccccc2)n1; [None]; [None]; [0]
-Cc1ncc(CNC(=O)c2ccccc2)[nH]1; [None]; [None]; [0]
-O=C(NCc1ccccc1Cl)c1ccccc1; ['NCc1ccccc1Cl', 'N#Cc1ccccc1', 'NC(=O)c1ccccc1']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'NCc1ccccc1Cl', 'OCc1ccccc1Cl']; [0.999991894, 0.999991894, 0.999991894]
-O=C(NC[C@@H]1C[C@H](O)C1)c1ccccc1; [None]; [None]; [0]
-COc1cc(CNC(=O)c2ccccc2)ccc1O; ['CCOC(=O)c1ccccc1']; ['COc1cc(CN)ccc1O']; [0.990811229]
-O=C(NCc1cc[nH]c1)c1ccccc1; [None]; [None]; [0]
-N#Cc1cnc(CNC(=O)c2ccccc2)cn1; [None]; [None]; [0]
-N#Cc1ccc(CNC(=O)c2ccccc2)cc1; ['N#Cc1ccc(CN)cc1', 'N#Cc1ccc(CN)cc1']; ['O=C(O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.999773562, 0.999773562]
-O=C(NCc1cnccn1)c1ccccc1; ['COC(=O)c1ccccc1']; ['NCc1cnccn1']; [0.993431866]
-O=C(NCc1ccoc1)c1ccccc1; [None]; [None]; [0]
-COc1cc(CCCNC(=O)c2ccccc2)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(CNC(=O)c2ccccc2)o1; [None]; [None]; [0]
-O=C(NCCOc1cccc(Cl)c1)c1ccccc1; ['NCCOc1cccc(Cl)c1']; ['O=C(O)c1ccccc1']; [0.999776185]
-O=C(NCc1cccc(Br)c1)c1ccccc1; ['NC(=O)c1ccccc1', 'Cc1cccc(Br)c1']; ['NCc1cccc(Br)c1', 'NC(=O)c1ccccc1']; [0.99613, 0.99613]
-O=C(NCc1cccs1)c1ccccc1; ['COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1']; ['NCc1cccs1', 'NCc1cccs1']; [0.999191225, 0.999191225]
-N#Cc1ccc(CNC(=O)c2ccccc2)cn1; [None]; [None]; [0]
-O=C(NCc1ccc(O)cc1O)c1ccccc1; ['NCc1ccc(O)cc1O', 'NCc1ccc(O)cc1O']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1']; [0.999224782, 0.999224782]
-O=C(NCCCCO)c1ccccc1; ['COC(=O)c1ccccc1', 'NCCCCO']; ['NCCCCO', 'O=Cc1ccccc1']; [0.990963936, 0.990963936]
-O=C(NCc1ccncn1)c1ccccc1; ['NCc1ccncn1', 'NCc1ccncn1', 'COC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'NCc1ccncn1']; [0.999901295, 0.999901295, 0.999901295]
-O=C(NCCOc1ccccc1Cl)c1ccccc1; ['NCCOc1ccccc1Cl']; ['O=C(O)c1ccccc1']; [0.999470413]
-COC(=O)c1ccc(Cl)c(CNC(=O)c2ccccc2)c1; [None]; [None]; [0]
-O=C(NCc1ccc(F)c(Cl)c1)c1ccccc1; ['NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; ['NCc1ccc(F)c(Cl)c1', 'OCc1ccc(F)c(Cl)c1']; [0.998462677, 0.998462677]
-O=C(NC[C@H](CO)c1ccccc1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(CNC(=O)c2ccccc2)cc1C; ['Cc1ccc(CN)cc1C', 'Cc1ccc(C#N)cc1C', 'Cc1ccc(CN)cc1C']; ['O=C(Cl)c1ccccc1', 'OCc1ccccc1', 'O=Cc1ccccc1']; [0.999967217, 0.999967217, 0.999967217]
-Cc1ccc(O)cc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cc(O)ccc1Cl)c1ccccc1; [None]; [None]; [0]
-O=C(NCCn1ccccc1=O)c1ccccc1; ['O=C(NCCCl)c1ccccc1']; ['O=c1cccc[nH]1']; [0.993518412]
-O=C(NCc1cnc(O)c(Cl)c1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(CO)cc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-COc1ccc(CNC(=O)c2ccccc2)cc1OC; ['CC(C)(C)OOC(=O)c1ccccc1']; ['COc1ccc(CN)cc1OC']; [0.996027946]
-COc1cc(CNC(=O)c2ccccc2)cc(OC)c1; ['COc1cc(CN)cc(OC)c1']; ['NC(=O)c1ccccc1']; [0.994538605]
-CS(=O)(=O)c1ccc(CNC(=O)c2ccccc2)cc1; ['CCOC(=O)c1ccccc1']; ['CS(=O)(=O)c1ccc(CN)cc1']; [0.996207595]
-NC(=O)Nc1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-Cc1nc2ccc(CNC(=O)c3ccccc3)cc2[nH]1; [None]; [None]; [0]
-O=C1Cc2cc(CNC(=O)c3ccccc3)ccc2N1; ['O=C(NCO)c1ccccc1']; ['O=C1Cc2ccccc2N1']; [0.984183908]
-O=C(NCc1cncc(O)c1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1nc2ccccc2s1)c1ccccc1; ['N#CCNC(=O)c1ccccc1']; ['Nc1ccccc1S']; [0.992786944]
-CCc1cc(O)ccc1CNC(=O)c1ccccc1; ['CCc1cccc(O)c1']; ['O=C(NCO)c1ccccc1']; [0.973909616]
-C[C@@H](CNC(=O)c1ccccc1)CC(N)=O; [None]; [None]; [0]
-Cc1cccc(C)c1CNC(=O)c1ccccc1; ['Cc1cccc(C)c1CN', 'CCOC(=O)c1ccccc1', 'Cc1cccc(C)c1CN', 'Cc1cccc(C)c1CN']; ['O=C(Cl)c1ccccc1', 'Cc1cccc(C)c1CN', 'O=Cc1ccccc1', 'NC(=O)c1ccccc1']; [0.999924302, 0.999924302, 0.999924302, 0.999924302]
-NC(=O)[C@@H]1CC[C@H](CNC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-O=C(NCn1ccnc1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cc(Cl)c(O)c(Cl)c1)c1ccccc1; ['O=C(NCO)c1ccccc1']; ['Oc1c(Cl)cccc1Cl']; [0.987932622]
-O=C(NCc1nccs1)c1ccccc1; ['NCc1nccs1']; ['O=C(O)c1ccccc1']; [0.999927521]
-Cc1cc(O)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-Nc1cc(CNC(=O)c2ccccc2)[nH]n1; [None]; [None]; [0]
-CCc1sccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ccc2[nH]c(=O)[nH]c2c1)c1ccccc1; [None]; [None]; [0]
-O=C(NCNc1ccncc1)c1ccccc1; []; []; []
-O=C(NCc1ccc(Br)cc1F)c1ccccc1; ['NCc1ccc(Br)cc1F', 'COC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'NCc1ccc(Br)cc1F']; [0.999993086, 0.999993086]
-O=C(NCc1ccc2c(c1)CCN2)c1ccccc1; ['O=C(NCO)c1ccccc1']; ['c1ccc2c(c1)CCN2']; [0.984645545]
-Cc1csc(CNC(=O)c2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc(CNC(=O)c2ccccc2)nc1C; [None]; [None]; [0]
-Cn1ncc(N)c1CNC(=O)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cc(O)cc(Br)c1)c1ccccc1; ['NC(=O)c1ccccc1']; ['O=Cc1cc(O)cc(Br)c1']; [0.979380906]
-CNC(=O)c1ccc(CNC(=O)c2ccccc2)cc1; ['CNC(=O)c1ccc(CN)cc1']; ['COC(=O)c1ccccc1']; [0.989362895]
-O=C(NCc1cnco1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cc(F)c(O)c(F)c1)c1ccccc1; ['O=C(NCO)c1ccccc1']; ['Oc1c(F)cccc1F']; [0.956933141]
-Cc1ccc(CNC(=O)c2ccccc2)c(C)n1; [None]; [None]; [0]
-O=C(NCc1ccc2c(=O)[nH][nH]c2c1)c1ccccc1; [None]; [None]; [0]
-O=C(NCOCc1ccccc1)c1ccccc1; ['O=C(NCO)c1ccccc1']; ['OCc1ccccc1']; [0.947108269]
-O=C(NCOc1ccc(F)cc1F)c1ccccc1; ['O=C(NCO)c1ccccc1', 'Fc1ccc(F)c(F)c1']; ['Oc1ccc(F)cc1F', 'O=C(NCO)c1ccccc1']; [0.979566276, 0.979566276]
-Cc1nc2ccc(CNC(=O)c3ccccc3)cc2o1; [None]; [None]; [0]
-O=C(NCc1ccc(F)cc1Cl)c1ccccc1; []; []; []
-O=C(NCCc1ccc(F)cc1)c1ccccc1; ['NCCc1ccc(F)cc1', 'C=COC(=O)c1ccccc1', 'NCCc1ccc(F)cc1']; ['O=C(F)c1ccccc1', 'NCCc1ccc(F)cc1', 'OCc1ccccc1']; [0.999264896, 0.999264896, 0.999264896]
-CCOc1ccc(CNC(=O)c2ccccc2)cc1; ['CCOc1ccc(CN)cc1', 'CCOc1ccc(CN)cc1', 'CCOC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'CCOc1ccc(CN)cc1']; [0.999675632, 0.999675632, 0.999675632]
-CSc1cccc(CNC(=O)c2ccccc2)c1; ['CSc1cccc(CN)c1', 'CSc1cccc(CN)c1', 'CSc1cccc(CN)c1']; ['O=C(O)c1ccccc1', 'Cc1ccccc1', 'O=Cc1ccccc1']; [0.999745071, 0.999745071, 0.999745071]
-O=C(NCOc1ccccc1F)c1ccccc1; ['O=C(NCO)c1ccccc1', 'Fc1ccccc1F']; ['Oc1ccccc1F', 'O=C(NCO)c1ccccc1']; [0.984446466, 0.984446466]
-CS(=O)(=O)c1cccc(CNC(=O)c2ccccc2)c1; ['CS(=O)(=O)c1cccc(CN)c1']; ['O=C(O)c1ccccc1']; [0.999910474]
-O=C(NCNCc1c(F)cccc1Cl)c1ccccc1; []; []; []
-Cc1n[nH]cc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-Cc1nn(C)cc1CNC(=O)c1ccccc1; ['Cc1nn(C)cc1CN', 'Cc1nn(C)cc1CN']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1']; [0.999978065, 0.999978065]
-COc1ncccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-COc1cc(CNC(=O)c2ccccc2)cc(OC)c1OC; ['COc1cc(CO)cc(OC)c1OC']; ['NC(=O)c1ccccc1']; [0.806223631]
-O=C(NCc1cccc(O)c1)c1ccccc1; ['NCc1cccc(O)c1', 'NCc1cccc(O)c1', 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1']; ['O=C(O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'NCc1cccc(O)c1', 'NCc1cccc(O)c1']; [0.998230398, 0.998230398, 0.998230398, 0.998230398]
-Cn1nncc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-COc1ccc(CNC(=O)c2ccccc2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(CN)cc1']; ['N#Cc1ccccc1', 'O=Cc1ccccc1']; [0.997188389, 0.997188389]
-O=C(NCNc1ncccn1)c1ccccc1; []; []; []
-O=C(NCc1cnc2cccnn12)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cccc(F)c1)c1ccccc1; ['NCc1cccc(F)c1', 'NCc1cccc(F)c1', 'NC(=O)c1ccccc1', 'Cc1cccc(F)c1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'NCc1cccc(F)c1', 'NC(=O)c1ccccc1']; [0.999991298, 0.999991298, 0.999991298, 0.999991298]
-O=C(NCc1nc2ccccc2[nH]1)c1ccccc1; ['NCc1nc2ccccc2[nH]1']; ['O=C(Cl)c1ccccc1']; [0.999146938]
-O=C(NCc1ccc(C(=O)Nc2ccccc2)cc1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ccc(Cl)cc1)c1ccccc1; ['NCc1ccc(Cl)cc1', 'CC(C)(C)OOC(=O)c1ccccc1', 'NCc1ccc(Cl)cc1']; ['O=C(Cl)c1ccccc1', 'NCc1ccc(Cl)cc1', 'O=Cc1ccccc1']; [0.999710739, 0.999710739, 0.999710739]
-O=C(NCCc1nccc2ccccc12)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cccc(C2CCNCC2)c1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ccc(C(F)(F)F)cc1)c1ccccc1; ['NCc1ccc(C(F)(F)F)cc1', 'NCc1ccc(C(F)(F)F)cc1', 'NC(=O)c1ccccc1', 'NCc1ccc(C(F)(F)F)cc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'OCc1ccc(C(F)(F)F)cc1', 'O=Cc1ccccc1']; [0.999607742, 0.999607742, 0.999607742, 0.999607742]
-O=C(NCc1ccc(OCCO)cc1)c1ccccc1; [None]; [None]; [0]
-Cc1cc(CNC(=O)c2ccccc2)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(CNC(=O)c2ccccc2)cc1; ['CN(C)c1ccc(CN)cc1', 'CN(C)c1ccc(CN)cc1']; ['O=C(O)c1ccccc1', 'Cc1ccccc1']; [0.998988926, 0.998988926]
-O=C(NCc1cncnc1)c1ccccc1; ['NCc1cncnc1', 'NCc1cncnc1', 'COC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(ON1C(=O)CCC1=O)c1ccccc1', 'NCc1cncnc1']; [0.999938369, 0.999938369, 0.999938369]
-C[C@H](O)COc1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-O=C(NCc1cnc(Cl)nc1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1c[nH]c2ccccc12)c1ccccc1; ['NCc1c[nH]c2ccccc12']; ['O=C(Oc1ccccc1)c1ccccc1']; [0.991349578]
-COc1ccc(Cl)cc1CNC(=O)c1ccccc1; []; []; []
-O=C(NCc1ccc2c(c1)CCO2)c1ccccc1; ['NCc1ccc2c(c1)CCO2', 'NC(=O)c1ccccc1']; ['O=C(O)c1ccccc1', 'O=Cc1ccc2c(c1)CCO2']; [0.999793947, 0.999793947]
-Cc1nc(C)c(CNC(=O)c2ccccc2)s1; [None]; [None]; [0]
-O=C(NCc1ccc(Br)cc1)c1ccccc1; ['NCc1ccc(Br)cc1']; ['O=C(Cl)c1ccccc1']; [0.999937773]
-O=C(NCc1cc2ccccc2cn1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ccc[nH]1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cccc2c1OCO2)c1ccccc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(CNC(=O)c2ccccc2)cc1; ['CC(C)(C)c1ccc(CN)cc1', 'CC(C)(C)c1ccc(CN)cc1', 'CC(C)(C)c1ccc(CN)cc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(F)c1ccccc1']; [0.99978894, 0.99978894, 0.99978894]
-CC(=O)Nc1cccc(CNC(=O)c2ccccc2)c1; ['CC(=O)Nc1cccc(CN)c1']; ['O=C(O)c1ccccc1']; [0.999240756]
-O=C(NCc1ccc(F)c(F)c1)c1ccccc1; ['N#Cc1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; ['NCc1ccc(F)c(F)c1', 'OCc1ccc(F)c(F)c1', 'O=Cc1ccc(F)c(F)c1']; [0.999977946, 0.999977946, 0.999977946]
-O=C(NCc1scc2c1OCCO2)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cnc2ccccc2c1)c1ccccc1; ['NCc1cnc2ccccc2c1', 'COC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'NCc1cnc2ccccc2c1']; [0.999551, 0.999551]
-O=C(NCc1ccco1)c1ccccc1; ['C=COC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; ['NCc1ccco1', 'NCc1ccco1']; [0.990747333, 0.990747333]
-Cc1cc(CNC(=O)c2ccccc2)nc(N)n1; [None]; [None]; [0]
-O=C(NC[C@H]1CC[C@H](O)CC1)c1ccccc1; [None]; [None]; [0]
-O=C(NC[C@H]1CC[C@@H](O)C1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ccc(Cl)cc1Cl)c1ccccc1; ['NCc1ccc(Cl)cc1Cl', 'NCc1ccc(Cl)cc1Cl', 'N#Cc1ccccc1', 'NC(=O)c1ccccc1', 'C=COC(=O)c1ccccc1', 'Cc1ccc(Cl)cc1Cl']; ['O=C(Cl)c1ccccc1', 'OCc1ccccc1', 'NCc1ccc(Cl)cc1Cl', 'NCc1ccc(Cl)cc1Cl', 'NCc1ccc(Cl)cc1Cl', 'NC(=O)c1ccccc1']; [0.999933124, 0.999933124, 0.999933124, 0.999933124, 0.999933124, 0.999933124]
-O=C(NCc1ccsc1)c1ccccc1; ['NCc1ccsc1', 'CCOC(=O)c1ccccc1']; ['O=C(O)c1ccccc1', 'NCc1ccsc1']; [0.998896837, 0.998896837]
-O=C(NCc1ncc(Br)cn1)c1ccccc1; [None]; [None]; [0]
-Cc1cc(C)cc(CNC(=O)c2ccccc2)c1; ['Cc1cc(C)cc(CN)c1', 'Cc1cc(C)cc(CN)c1']; ['O=Cc1ccccc1', 'NC(=O)c1ccccc1']; [0.992525697, 0.992525697]
-COc1cc(F)c(CNC(=O)c2ccccc2)cc1OC; ['COc1cc(F)c(C=O)cc1OC']; ['NC(=O)c1ccccc1']; [0.873666286]
-COc1ccc2cccc(CNC(=O)c3ccccc3)c2c1; [None]; [None]; [0]
-Cn1cc(CNC(=O)c2ccccc2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(CNC(=O)c2ccccc2)ccc1Cl; []; []; []
-COc1cc(CNC(=O)c2ccccc2)c(OC)cc1Br; ['COc1ccc(OC)c(Br)c1']; ['O=C(NCO)c1ccccc1']; [0.849962771]
-O=C(NCc1cccc2ccc(O)cc12)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ccc2cn[nH]c2c1)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(CNC(=O)c2ccccc2)o1; ['CCOC(=O)c1ccccc1']; ['Cc1ccc(CN)o1']; [0.994218826]
-CCn1cc(CNC(=O)c2ccccc2)cn1; ['CCn1cc(CN)cn1']; ['O=C(Cl)c1ccccc1']; [0.999958158]
-O=C(NCc1ccc(OC(F)(F)F)cc1)c1ccccc1; ['NC(=O)c1ccccc1']; ['OCc1ccc(OC(F)(F)F)cc1']; [0.996107399]
-O=C(NCc1cc2ccccc2o1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cscn1)c1ccccc1; [None]; [None]; [0]
-CCc1cccc(CNC(=O)c2ccccc2)n1; [None]; [None]; [0]
-O=C(NCc1cccc(N2CCCC2=O)c1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ccc(CCO)cc1)c1ccccc1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3nc(N)sc3c2)cc1; ['N#Cc1ccc(B(O)O)cc1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999946713]
-COc1cc(N2CCNCC2)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-COc1ncccc1-c1ccc2nc(N)sc2c1; ['COc1ncccc1B(O)O']; ['Nc1nc2ccc(Br)cc2s1']; [0.999777]
-CS(=O)(=O)c1ccc(Cl)c(CNC(=O)c2ccccc2)c1; [None]; [None]; [0]
-CCOc1ccc(-c2ccc3nc(N)sc3c2)cc1; ['CCOc1ccc(B(O)O)cc1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999969363]
-CS(=O)(=O)c1cccc(-c2ccc3nc(N)sc3c2)c1; ['CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999984503]
-COc1cc(-c2ccc3nc(N)sc3c2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1nc2ccc(Br)cc2s1']; [0.999904513]
-Cc1n[nH]cc1-c1ccc2nc(N)sc2c1; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999974132]
-Cn1cc(-c2ccc3nc(N)sc3c2)cn1; ['Cn1cc(B(O)O)cn1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999909639]
-Nc1nc2ccc(-c3cccc(O)c3)cc2s1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999852777]
-Nc1nc2ccc(-c3cnc4cccnn34)cc2s1; [None]; [None]; [0]
-Cn1nncc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3nc4ccccc4[nH]3)cc2s1; ['Nc1ccccc1N']; ['Nc1nc2ccc(C(=O)O)cc2s1']; [0.999927163]
-NC(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['Nc1nc2ccc(Br)cc2s1', 'Nc1nc2ccc(Br)cc2s1']; [0.999997258, 0.999997258]
-Cc1nn(C)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3nc(N)sc3c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999992609]
-Nc1nc2ccc(-c3ccc(C(=O)Nc4ccccc4)cc3)cc2s1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999999762]
-Nc1nc2ccc(-c3ccc(Cl)cc3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(Cc3nccc4ccccc34)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(Nc3ncccn3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cccc(F)c3)cc2s1; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999997616]
-Nc1nc2ccc(CCCO)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cccc(C4CCNCC4)c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(OCCO)cc3)cc2s1; [None]; [None]; [0]
-Cc1cc(-c2ccc3nc(N)sc3c2)nn1C; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(C(F)(F)F)cc3)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.999975085]
-Nc1nc2ccc(-c3cnc(Cl)nc3)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1cnc(Cl)nc1']; [0.999959707]
-C[C@H](O)COc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3nc(N)sc3c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999999285]
-Nc1nc2ccc(-c3cncnc3)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1cncnc1']; [0.999876857]
-Cc1nc(C)c(-c2ccc3nc(N)sc3c2)s1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1ccc2nc(N)sc2c1; ['COc1ccc(Cl)cc1B(O)O']; ['Nc1nc2ccc(Br)cc2s1']; [0.99990344]
-Nc1nc2ccc(-c3ccc(Br)cc3)cc2s1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999980807]
-Nc1nc2ccc(-c3cn[nH]c3)cc2s1; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'Nc1nc2ccc(Br)cc2s1']; ['Nc1nc2ccc(Br)cc2s1', 'OB(O)c1cn[nH]c1']; [0.999999881, 0.999999881]
-Nc1nc2ccc(-c3ccc4c(c3)CCO4)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1ccc2c(c1)CCO2']; [0.999925256]
-Nc1nc2ccc(-c3c[nH]c4ccccc34)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc[nH]3)cc2s1; [None]; [None]; [0]
-COc1cc(-c2ccc3nc(N)sc3c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Nc1nc2ccc(Br)cc2s1']; [0.999972939]
-CC(=O)Nc1cccc(-c2ccc3nc(N)sc3c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999999285]
-Nc1nc2ccc(-c3ccc(F)c(F)c3)cc2s1; ['CC1(C)OB(c2ccc(F)c(F)c2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999998093]
-Nc1nc2ccc(-c3cc4ccccc4cn3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3scc4c3OCCO4)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccco3)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1ccco1']; [0.999432385]
-Nc1nc2ccc(-c3cnc4ccccc4c3)cc2s1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1nc2ccc(Br)cc2s1']; ['Nc1nc2ccc(Br)cc2s1', 'OB(O)c1cnc2ccccc2c1']; [0.999998331, 0.999998331]
-Nc1nc2ccc(-c3cccc4c3OCO4)cc2s1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc3nc(N)sc3c2)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999954581]
-CSc1cccc(-c2ccc3nc(N)sc3c2)c1; ['CSc1cccc(B(O)O)c1']; ['Nc1nc2ccc(Br)cc2s1']; [0.99966538]
-Nc1nc2ccc(-c3ccc(F)cc3Cl)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1ccc(F)cc1Cl']; [0.999921918]
-Nc1nc2ccc([C@@H]3CC[C@@H](O)CC3)cc2s1; [None]; [None]; [0]
-Cc1cc(-c2ccc3nc(N)sc3c2)nc(N)n1; [None]; [None]; [0]
-Nc1nc2ccc([C@H]3CC[C@@H](O)C3)cc2s1; [None]; [None]; [0]
-COc1ccc(-c2ccc3nc(N)sc3c2)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['Nc1nc2ccc(Br)cc2s1']; [0.999621272]
-CCc1ccc(-c2ccc3nc(N)sc3c2)cc1; ['CCc1ccc(B(O)O)cc1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999816239]
-Nc1nc2ccc(-c3ccsc3)cc2s1; ['CC1(C)OB(c2ccsc2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.99999249]
-CC[C@@H](CO)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ncc(Br)cn3)cc2s1; [None]; [None]; [0]
-Cn1cc(-c2ccc3nc(N)sc3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(Cl)cc3Cl)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.99971]
-Cc1cc(C)cc(-c2ccc3nc(N)sc3c2)c1; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['Nc1nc2ccc(Br)cc2s1', 'Nc1nc2ccc(Br)cc2s1']; [0.999996066, 0.999996066]
-Nc1nc2ccc(-c3cccc4ccc(O)cc34)cc2s1; [None]; [None]; [0]
-COc1cc(F)c(-c2ccc3nc(N)sc3c2)cc1OC; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccc4nc(N)sc4c3)c2c1; [None]; [None]; [0]
-COc1cc(-c2ccc3nc(N)sc3c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl']; ['Nc1nc2ccc(Br)cc2s1']; [0.999998212]
-COc1cc(OC)cc(-c2ccc3nc(N)sc3c2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999994516]
-Cc1ccc(-c2ccc3nc(N)sc3c2)o1; ['Cc1ccc(B(O)O)o1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999741375]
-COc1cc(-c2ccc3nc(N)sc3c2)c(OC)cc1Br; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1nc2ccc(Br)cc2s1', 'Nc1nc2ccc(Br)cc2s1']; [0.99999845, 0.99999845]
-Nc1nc2ccc(-c3ccc4cn[nH]c4c3)cc2s1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999999762]
-Nc1nc2ccc(-c3ccc(OC(F)(F)F)cc3)cc2s1; []; []; []
-Cc1ccc(-c2ccc3nc(N)sc3c2)nc1C; [None]; [None]; [0]
-Nc1nc2ccc(-c3cc4ccccc4o3)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1cc2ccccc2o1']; [0.999913931]
-CCc1cccc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cscn3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(CCO)cc3)cc2s1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccncc3)cc2s1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'Brc1ccncc1']; ['Nc1nc2ccc(Br)cc2s1', 'Nc1nc2ccc(Br)cc2s1']; [0.999998689, 0.999998689]
-Nc1nc2ccc(-c3ccc(O)cc3)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1ccc(O)cc1']; [0.99833715]
-Nc1nc2ccc(-c3cccc(N4CCCC4=O)c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(Cl)c(O)c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3n[nH]c4ccccc34)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3c(Cl)cccc3Cl)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999780357]
-Nc1nc2ccc(Oc3ccc(F)cc3)cc2s1; []; []; []
-Nc1nc2ccc(-c3cccc4ncccc34)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1cccc2ncccc12']; [0.999987483]
-Nc1nc2ccc(-c3c(F)cccc3F)cc2s1; ['CC1(C)OB(c2c(F)cccc2F)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999997497]
-Nc1nc2ccc(-c3ccc(O)cc3Cl)cc2s1; [None]; [None]; [0]
-Cc1ncc(-c2ccc3nc(N)sc3c2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccccc3Cl)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc([C@@H]3C[C@H](O)C3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cc[nH]c3)cc2s1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc3nc(N)sc3c2)o1; ['COC(=O)c1ccc(Br)o1']; ['Nc1nc2ccc(Br)cc2s1']; [0.997347355]
-Nc1nc2ccc(-c3cnccn3)cc2s1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3nc(N)sc3c2)cn1; ['N#Cc1ccc(B(O)O)cn1']; ['Nc1nc2ccc(Br)cc2s1']; [0.99999845]
-N#Cc1cnc(-c2ccc3nc(N)sc3c2)cn1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccoc3)cc2s1; ['CC1(C)OB(c2ccoc2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999981284]
-COc1cc(CCc2ccc3nc(N)sc3c2)ccc1O; [None]; [None]; [0]
-Nc1nc2ccc(-c3cccc(Br)c3)cc2s1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999588668]
-Nc1nc2ccc(COc3cccc(Cl)c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cccs3)cc2s1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(F)c(Cl)c3)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1ccc(F)c(Cl)c1']; [0.999968529]
-Nc1nc2ccc(-c3ccc(O)cc3O)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccncn3)cc2s1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3nc(N)sc3c2)cc1C; ['Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1C', 'Cc1ccc(B(O)O)cc1C']; ['Nc1nc2ccc(Br)cc2s1', 'Nc1nc2ccc(Br)cc2s1']; [0.99999249, 0.99999249]
-Nc1nc2ccc(COc3ccccc3Cl)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc([C@H](CO)c3ccccc3)cc2s1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cnc(O)c(Cl)c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cc(O)ccc3Cl)cc2s1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc3nc(N)sc3c2)cc1; ['NC(=O)Nc1ccc(Br)cc1']; ['Nc1nc2ccc(Br)cc2s1']; [0.972173154]
-Nc1nc2ccc(Cn3ccccc3=O)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1nc2ccc(Br)cc2s1', 'Nc1nc2ccc(Br)cc2s1']; [0.999998331, 0.999998331]
-Cc1nc2ccc(-c3ccc4nc(N)sc4c3)cc2[nH]1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cncc(O)c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc4c(c3)CC(=O)N4)cc2s1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999961495]
-Nc1nc2ccc(-c3nc4ccccc4s3)cc2s1; ['Nc1ccccc1S']; ['Nc1nc2ccc(C(=O)O)cc2s1']; [0.938760698]
-NC(=O)[C@H]1CC[C@@H](c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccc2nc(N)sc2c1; ['Cc1cc(O)ccc1B(O)O']; ['Nc1nc2ccc(Br)cc2s1']; [0.992305577]
-C[C@H](CC(N)=O)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc2nc(N)sc2c1; ['Cc1cccc(C)c1B(O)O']; ['Nc1nc2ccc(Br)cc2s1']; [0.999979138]
-CCc1cc(O)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-CCc1sccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(-n3ccnc3)cc2s1; []; []; []
-Nc1nc2ccc(-c3cc(Cl)c(O)c(Cl)c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3nccs3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc4c(c3)CCN4)cc2s1; [None]; [None]; [0]
-Nc1cc(-c2ccc3nc(N)sc3c2)[nH]n1; [None]; [None]; [0]
-Nc1nc2ccc(Nc3ccncc3)cc2s1; ['Nc1ccncc1']; ['Nc1nc2ccc(Br)cc2s1']; [0.994916558]
-Nc1nc2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)cc2s1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(Br)cc3F)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1ccc(Br)cc1F']; [0.98464]
-Cc1ccc(-c2ccc3nc(N)sc3c2)c(C)n1; [None]; [None]; [0]
-Cc1csc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cc(O)cc(Br)c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cnco3)cc2s1; []; []; []
-Cc1nc2ccc(-c3ccc4nc(N)sc4c3)cc2o1; [None]; [None]; [0]
-Nc1nc2ccc(OCc3ccccc3)cc2s1; ['ClCc1ccccc1']; ['Nc1nc2ccc(O)cc2s1']; [0.998616576]
-Nc1nc2ccc(-c3cc(F)c(O)c(F)c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(Oc3ccc(F)cc3F)cc2s1; ['Fc1ccc(F)c(F)c1', 'Nc1nc2ccc(F)cc2s1']; ['Nc1nc2ccc(O)cc2s1', 'Oc1ccc(F)cc1F']; [0.972827733, 0.972827733]
-Nc1nc2ccc(NCc3c(F)cccc3Cl)cc2s1; ['NCc1c(F)cccc1Cl']; ['Nc1nc2ccc(F)cc2s1']; [0.977265894]
-Nc1nc2ccc(Cc3ccc(F)cc3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(Oc3ccccc3F)cc2s1; ['Fc1ccccc1Br']; ['Nc1nc2ccc(O)cc2s1']; [0.93535763]
-Nc1c(-c2ccncc2)cnn1-c1ccccc1; [None]; [None]; [0]
-Cn1cc(-c2cnn(-c3ccccc3)c2N)cn1; [None]; [None]; [0]
-Nc1c(-c2ccc(O)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
-CCc1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
-Nc1c(-c2cn[nH]c2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2cccc3ncccc23)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2n[nH]c3ccccc23)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2c(F)cccc2F)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2ccc(Cl)c(O)c2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2c(Cl)cccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
-Cc1ncc(-c2cnn(-c3ccccc3)c2N)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2cnn(-c3ccccc3)c2N)n1; [None]; [None]; [0]
-Nc1c(-c2ccccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2ccc(O)cc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2cc[nH]c2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c([C@@H]2C[C@H](O)C2)cnn1-c1ccccc1; [None]; [None]; [0]
-N#Cc1cnc(-c2cnn(-c3ccccc3)c2N)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnn(-c3ccccc3)c2N)cc1; ['N#Cc1ccc(B(O)O)cc1']; ['Nc1ccnn1-c1ccccc1']; [0.993076444]
-COc1cc(-c2cnn(-c3ccccc3)c2N)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)o1; [None]; [None]; [0]
-Nc1c(-c2ccoc2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2cnccn2)cnn1-c1ccccc1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnn(-c3ccccc3)c2N)cn1; [None]; [None]; [0]
-Nc1c(COc2cccc(Cl)c2)cnn1-c1ccccc1; [None]; [None]; [0]
-COc1cc(CCc2cnn(-c3ccccc3)c2N)ccc1O; [None]; [None]; [0]
-Nc1c(-c2cccc(Br)c2)cnn1-c1ccccc1; ['Nc1ccnn1-c1ccccc1']; ['OB(O)c1cccc(Br)c1']; [0.999174058]
-Nc1c(-c2cccs2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(CCCO)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2ccc(O)cc2O)cnn1-c1ccccc1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnn(-c3ccccc3)c2N)c1; [None]; [None]; [0]
-Nc1c(-c2ccncn2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2ccc(F)c(Cl)c2)cnn1-c1ccccc1; ['Nc1ccnn1-c1ccccc1']; ['OB(O)c1ccc(F)c(Cl)c1']; [0.993448675]
-Cc1ccc(-c2cnn(-c3ccccc3)c2N)cc1C; ['Cc1ccc(B(O)O)cc1C']; ['Nc1ccnn1-c1ccccc1']; [0.993169785]
-Nc1c(COc2ccccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c([C@H](CO)c2ccccc2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2cc(O)ccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnn(-c3ccccc3)c2N)c1; ['COc1cc(OC)cc(B(O)O)c1']; ['Nc1ccnn1-c1ccccc1']; [0.995278835]
-Cc1ccc(O)cc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-Nc1c(-c2cnc(O)c(Cl)c2)cnn1-c1ccccc1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnn(-c4ccccc4)c3N)cc2[nH]1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnn(-c3ccccc3)c2N)cc1OC; [None]; [None]; [0]
-Nc1c(-c2nc3ccccc3s2)cnn1-c1ccccc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
-Nc1c(-c2cncc(O)c2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2ccc3c(c2)CC(=O)N3)cnn1-c1ccccc1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cnn(-c3ccccc3)c2N)CC1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cnn(-c2ccccc2)c1N; ['Cc1cccc(C)c1Br']; ['Nc1ccnn1-c1ccccc1']; [0.973355]
-CCc1cc(O)ccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-CCc1sccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-Nc1c(-c2nccs2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2cc(Cl)c(O)c(Cl)c2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2ccc3[nH]c(=O)[nH]c3c2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2ccc3c(c2)CCN3)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1cc(-c2cnn(-c3ccccc3)c2N)[nH]n1; [None]; [None]; [0]
-Nc1c(-c2ccc(Br)cc2F)cnn1-c1ccccc1; ['Nc1ccnn1-c1ccccc1']; ['OB(O)c1ccc(Br)cc1F']; [0.994324446]
-Cc1csc(-c2cnn(-c3ccccc3)c2N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnn(-c3ccccc3)c2N)nc1C; [None]; [None]; [0]
-Nc1c(-c2cc(O)cc(Br)c2)cnn1-c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2cnn(-c3ccccc3)c2N)c(C)n1; [None]; [None]; [0]
-Nc1c(-c2cnco2)cnn1-c1ccccc1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnn(-c4ccccc4)c3N)cc2o1; [None]; [None]; [0]
-Nc1c(-c2cc(F)c(O)c(F)c2)cnn1-c1ccccc1; [None]; [None]; [0]
-CSc1cccc(-c2cnn(-c3ccccc3)c2N)c1; ['CSc1cccc(B(O)O)c1']; ['Nc1ccnn1-c1ccccc1']; [0.899934709]
-Nc1c(-c2ccc3c(=O)[nH][nH]c3c2)cnn1-c1ccccc1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc(O)cc3)ccc21; [None]; [None]; [0]
-Nc1c(-c2ccc(F)cc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(Cc2ccc(F)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cccc4ncccc34)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccncc3)ccc21; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)CCCCC3=O)cn1; [None]; [None]; [0]
-CCc1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc(Cl)c(O)c3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cn[nH]c3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3n[nH]c4ccccc34)ccc21; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3c(F)cccc3F)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3c(Cl)cccc3Cl)ccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
-O=C1CCCCc2cc(Oc3ccc(F)cc3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc(O)cc3Cl)ccc21; [None]; [None]; [0]
-Nc1nccc(-c2ccc3c(c2)CCCCC3=O)n1; [None]; [None]; [0]
-O=C1CCCCc2cc([C@@H]3C[C@H](O)C3)ccc21; [None]; [None]; [0]
-Cc1ncc(-c2ccc3c(c2)CCCCC3=O)[nH]1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cc[nH]c3)ccc21; [None]; [None]; [0]
-COc1cc(-c2ccc3c(c2)CCCCC3=O)ccc1O; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccccc3Cl)ccc21; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cnccn3)ccc21; [None]; [None]; [0]
-N#Cc1cnc(-c2ccc3c(c2)CCCCC3=O)cn1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccoc3)ccc21; [None]; [None]; [0]
-COc1cc(CCc2ccc3c(c2)CCCCC3=O)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)o1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cccc(Br)c3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(COc3cccc(Cl)c3)ccc21; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3c(c2)CCCCC3=O)cn1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cccs3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc(O)cc3O)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(CCCO)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccncn3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(COc3ccccc3Cl)ccc21; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccc3c(c2)CCCCC3=O)c1; [None]; [None]; [0]
-O=C1CCCCc2cc([C@H](CO)c3ccccc3)ccc21; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc(F)c(Cl)c3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cc(O)ccc3Cl)ccc21; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(c2)CCCCC3=O)cc1C; [None]; [None]; [0]
-O=C1CCCCc2cc(Cn3ccccc3=O)ccc21; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc3c(c2)CCCCC3=O)c1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cnc(O)c(Cl)c3)ccc21; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4c(c3)CCCCC4=O)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(c2)CCCCC3=O)cc1OC; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3nc4ccccc4s3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cncc(O)c3)ccc21; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ccc3c(c2)CCCCC3=O)CC1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-O=C1Cc2cc(-c3ccc4c(c3)CCCCC4=O)ccc2N1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-CCc1sccc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc4c(c3)CCN4)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cc(Cl)c(O)c(Cl)c3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-n3ccnc3)ccc21; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CCCCC3=O)[nH]n1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3nccs3)ccc21; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc4[nH]c(=O)[nH]c4c3)ccc21; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
-O=C1CCCCc2cc(Nc3ccncc3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc(Br)cc3F)ccc21; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(c2)CCCCC3=O)c(C)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(c2)CCCCC3=O)nc1C; [None]; [None]; [0]
-Cc1csc(-c2ccc3c(c2)CCCCC3=O)n1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cnco3)ccc21; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4c(c3)CCCCC4=O)cc2o1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cc(O)cc(Br)c3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc4c(=O)[nH][nH]c4c3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cc(F)c(O)c(F)c3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(Oc3ccc(F)cc3F)ccc21; [None]; [None]; [0]
-CSc1cccc(-c2ccc3c(c2)CCCCC3=O)c1; [None]; [None]; [0]
-O=C1CCCCc2cc(OCc3ccccc3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(Cc3ccc(F)cc3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(Oc3ccccc3F)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc(F)cc3Cl)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(NCc3c(F)cccc3Cl)ccc21; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](Nc2ncccn2)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](Cc2cnccn2)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](Cc2nccc3ccccc23)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2ccccn2)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2ccco2)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](Cc2ccc(O)cc2)CC1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@H](CO)CC2)nc(N)n1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2ncc(Br)cn2)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2cccc3ccc(O)cc23)CC1; [None]; [None]; [0]
-COC(=O)[C@@H]1CC[C@H](Nc2ncccn2)CC1; ['COC(=O)[C@H]1CC[C@@H](N)CC1']; ['CS(=O)(=O)c1ncccn1']; [0.984676778]
-OC[C@H]1CC[C@@H](c2ccc(OC(F)(F)F)cc2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
-COC(=O)[C@@H]1CC[C@H](Cc2cnccn2)CC1; [None]; [None]; [0]
-COC(=O)[C@@H]1CC[C@H](Cc2nccc3ccccc23)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ccccn2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2cc(C)nc(N)n2)CC1; [None]; [None]; [0]
-COC(=O)[C@@H]1CC[C@H](Cc2ccc(O)cc2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ccco2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ncc(Br)cn2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ccc(OC(F)(F)F)cc2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2cccc3ccc(O)cc23)CC1; [None]; [None]; [0]
-C[C@H](Nc1cnc2cccnn12)c1ccc(F)cc1F; [None]; [None]; [0]
-C[C@H](Nc1cccc(C2CCNCC2)c1)c1ccc(F)cc1F; [None]; [None]; [0]
-C[C@H](Nc1ccccn1)c1ccc(F)cc1F; [None]; [None]; [0]
-C[C@H](Nc1ccco1)c1ccc(F)cc1F; [None]; [None]; [0]
-C[C@H](Nc1ccc(OC(F)(F)F)cc1)c1ccc(F)cc1F; ['CC(=O)c1ccc(F)cc1F']; ['Nc1ccc(OC(F)(F)F)cc1']; [0.999982]
-O=C(Nc1cc[nH]n1)C1CC1; ['Nc1cc[nH]n1']; ['O=C(Cl)C1CC1']; [0.996527731]
-Fc1ccccc1-c1cc[nH]n1; ['Brc1cc[nH]n1']; ['OB(O)c1ccccc1F']; [0.999683499]
-C[C@H](Nc1ncc(Br)cn1)c1ccc(F)cc1F; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc[nH]n2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['OB(O)c1cc[nH]n1']; [0.919807673]
-c1cc(-c2cc[nH]n2)c[nH]1; []; []; []
-c1ccc2c(Nc3cc[nH]n3)n[nH]c2c1; ['Clc1n[nH]c2ccccc12']; ['Nc1cc[nH]n1']; [0.84577024]
-c1ccc2c(-c3cc[nH]n3)n[nH]c2c1; [None]; [None]; [0]
-Clc1ccc(-c2cc[nH]n2)cc1Cl; ['Brc1cc[nH]n1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999957681]
-Fc1cccc(-c2cc[nH]n2)c1F; []; []; []
-Cc1ncc(-c2cc[nH]n2)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2cc[nH]n2)c1; ['COC(OC)N(C)C']; ['COc1cccc(C(C)=O)c1']; [0.998647511]
-CCc1sccc1-c1cc[nH]n1; [None]; [None]; [0]
-COc1ccc2cc(-c3cc[nH]n3)ccc2c1; ['Brc1cc[nH]n1']; ['COc1ccc2cc(B(O)O)ccc2c1']; [0.999975562]
-Cn1ncc(N)c1-c1cc[nH]n1; [None]; [None]; [0]
-Cc1cccc(-c2cc[nH]n2)n1; ['Brc1cc[nH]n1']; ['Cc1cccc(Br)n1']; [0.995495558]
-Cc1ccc(-c2cc[nH]n2)nc1C; [None]; [None]; [0]
-Cc1csc(-c2cc[nH]n2)n1; [None]; [None]; [0]
-COc1ccc(-c2cc[nH]n2)cn1; []; []; []
-COc1ccc(-c2cc[nH]n2)nc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccccc2F)cc1; ['NC(=O)Nc1ccc(Br)cc1', 'Fc1ccccc1I']; ['OB(O)c1ccccc1F', 'NC(=O)Nc1ccccc1']; [0.98476851, 0.98476851]
-NC(=O)Nc1ccc(-c2n[nH]c3ccccc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)cc2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc[nH]c2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccc(F)c2F)cc1; ['CC1(C)OB(c2cccc(F)c2F)OC1(C)C', 'NC(=O)Nc1ccc(Br)cc1']; ['NC(=O)Nc1ccc(Br)cc1', 'OB(O)c1cccc(F)c1F']; [0.999839306, 0.999839306]
-Cc1ncc(-c2ccc(NC(N)=O)cc2)[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-COc1cccc(-c2ccc(NC(N)=O)cc2)c1; []; []; []
-COc1ccc2cc(-c3ccc(NC(N)=O)cc3)ccc2c1; ['COc1ccc2cc(B(O)O)ccc2c1']; ['NC(=O)Nc1ccc(Br)cc1']; [0.999949336]
-NC(=O)Nc1ccc(-c2ccc3ccccc3c2)cc1; ['NC(=O)Nc1ccc(Br)cc1']; ['OB(O)c1ccc2ccccc2c1']; [0.999938607]
-CCc1sccc1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
-Cc1cccc(-c2ccc(NC(N)=O)cc2)n1; [None]; [None]; [0]
-Cc1csc(-c2ccc(NC(N)=O)cc2)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(NC(N)=O)cc2)nc1C; [None]; [None]; [0]
-COc1ccc(-c2ccc(NC(N)=O)cc2)cn1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'COc1ccc(B(O)O)cn1']; ['NC(=O)Nc1ccc(Br)cc1', 'NC(=O)Nc1ccc(Br)cc1']; [0.999995828, 0.999995828]
-NC(=O)Nc1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['NC(=O)Nc1ccc(Br)cc1']; [0.999977946]
-COc1ccc(-c2ccc(NC(N)=O)cc2)nc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccccn2)cc1; []; []; []
-NC(=O)Nc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Cc2nccc3ccccc23)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Cc2ccc(O)cc2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccc(C3CCNCC3)c2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Cc2cnccn2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccco2)cc1; []; []; []
-NC(=O)Nc1ccc(-c2ncc(Br)cn2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc(NC(N)=O)cc2)nc(N)n1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(OC(F)(F)F)cc2)cc1; ['NC(N)=O']; ['Nc1ccc(-c2ccc(OC(F)(F)F)cc2)cc1']; [0.999837279]
-NC(=O)Nc1ccc(-c2cccc3ccc(O)cc23)cc1; [None]; [None]; [0]
-Fc1ccccc1-c1cnc(-c2ccccc2)[nH]1; ['Fc1ccccc1Br']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.761001468]
-O=C(Nc1cnc(-c2ccccc2)[nH]1)C1CC1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3n[nH]c4ccccc34)[nH]2)cc1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cc[nH]c3)[nH]2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
-Fc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1F; ['Fc1cccc(I)c1F']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.993046463]
-Cc1ncc(-c2cnc(-c3ccccc3)[nH]2)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; ['COc1cccc(I)c1']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.923555434]
-c1ccc(-c2ncc(Nc3n[nH]c4ccccc34)[nH]2)cc1; [None]; [None]; [0]
-Clc1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1Cl; [None]; [None]; [0]
-COc1ccc2cc(-c3cnc(-c4ccccc4)[nH]3)ccc2c1; [None]; [None]; [0]
-CCc1sccc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-Cc1csc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
-Cc1cccc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cnc(-c3ccccc3)[nH]2)cn1; [None]; [None]; [0]
-OCCCc1ccccc1F; []; []; []
-COc1ccc(-c2cnc(-c3ccccc3)[nH]2)nc1; [None]; [None]; [0]
-Cc1ccc(-c2cnc(-c3ccccc3)[nH]2)nc1C; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(CCCO)cc1; [None]; [None]; [0]
-OCCCc1cc[nH]c1; [None]; [None]; [0]
-OCCCc1n[nH]c2ccccc12; [None]; [None]; [0]
-OCCCc1cccc(F)c1F; []; []; []
-Cc1ncc(CCCO)[nH]1; [None]; [None]; [0]
-OCCCc1ccncn1; ['C1CO1', 'Cc1ccncn1']; ['Cc1ccncn1', 'OCCBr']; [0.957816303, 0.957816303]
-COc1cccc(CCCO)c1; []; []; []
-CCc1sccc1CCCO; [None]; [None]; [0]
-OCCCc1ccc2ccccc2c1; ['C1CO1']; ['ClCc1ccc2ccccc2c1']; [0.991054118]
-COc1ccc2cc(CCCO)ccc2c1; []; []; []
-Cn1ncc(N)c1CCCO; [None]; [None]; [0]
-Cc1csc(CCCO)n1; [None]; [None]; [0]
-Cc1cccc(CCCO)n1; [None]; [None]; [0]
-Cc1ccc(CCCO)nc1C; [None]; [None]; [0]
-OCCCc1cccc(C(F)(F)F)c1; []; []; []
-COc1ccc(CCCO)cn1; [None]; [None]; [0]
-COc1ccc(CCCO)nc1; [None]; [None]; [0]
-N[C@H](c1ccccn1)c1ccco1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1ccco1; [None]; [None]; [0]
-N[C@H](c1cccc(C2CCNCC2)c1)c1ccco1; [None]; [None]; [0]
-N[C@H](c1ncc(Br)cn1)c1ccco1; [None]; [None]; [0]
-O=C(Nc1cnn(CCO)c1)C1CC1; [None]; [None]; [0]
-N[C@H](c1ccc(OC(F)(F)F)cc1)c1ccco1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnn(CCO)c2)cc1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['CNS(=O)(=O)c1ccc(Br)cc1']; [0.998503089]
-OCCn1cc(-c2ccccc2F)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2F)OC1(C)C']; ['Fc1ccccc1Br', 'OCCn1cc(Br)cn1']; [0.999997497, 0.999997497]
-OCCn1cc(-c2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
-OCCn1cc(Nc2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
-OCCn1cc(-c2cc[nH]c2)cn1; [None]; [None]; [0]
-Cc1ncc(-c2cnn(CCO)c2)[nH]1; [None]; [None]; [0]
-OCCn1cc(-c2cccc(F)c2F)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Fc1cccc(Br)c1F']; [0.999999881]
-COc1cccc(-c2cnn(CCO)c2)c1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['COc1cccc(Br)c1']; [0.999966145]
-OCCn1cc(-c2ccc(Cl)c(Cl)c2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Clc1ccc(Br)cc1Cl']; [0.999998808]
-COc1ccc2cc(-c3cnn(CCO)c3)ccc2c1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['COc1ccc2cc(Br)ccc2c1']; [0.999997616]
-CCc1sccc1-c1cnn(CCO)c1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnn(CCO)c1; [None]; [None]; [0]
-Cc1csc(-c2cnn(CCO)c2)n1; [None]; [None]; [0]
-COc1ccc(-c2cnn(CCO)c2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['COc1ccc(Br)cn1']; [0.999992728]
-Cc1cccc(-c2cnn(CCO)c2)n1; [None]; [None]; [0]
-Fc1ccccc1Cn1cncn1; ['Fc1ccccc1CCl', 'Fc1ccccc1']; ['c1nc[nH]n1', 'OCn1cncn1']; [0.999961257, 0.999961257]
-Cc1ccc(-c2cnn(CCO)c2)nc1C; [None]; [None]; [0]
-COc1ccc(-c2cnn(CCO)c2)nc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Cn2cncn2)cc1; [None]; [None]; [0]
-c1ccc2c(Cn3cncn3)n[nH]c2c1; [None]; [None]; [0]
-c1ncn(Cc2cc[nH]c2)n1; [None]; [None]; [0]
-c1cc(Cn2cncn2)ncn1; [None]; [None]; [0]
-Cc1ncc(Cn2cncn2)[nH]1; [None]; [None]; [0]
-Clc1ccc(Cn2cncn2)cc1Cl; ['ClCc1ccc(Cl)c(Cl)c1']; ['c1nc[nH]n1']; [0.999853134]
-Fc1cccc(Cn2cncn2)c1F; ['Fc1cccc(CBr)c1F']; ['c1nc[nH]n1']; [0.999974728]
-COc1cccc(Cn2cncn2)c1; ['COc1cccc(CBr)c1']; ['c1nc[nH]n1']; [0.9993186]
-c1ccc2cc(Cn3cncn3)ccc2c1; ['ClCc1ccc2ccccc2c1', 'BrCc1ccc2ccccc2c1']; ['c1nc[nH]n1', 'c1nc[nH]n1']; [0.999967933, 0.999967933]
-COc1ccc2cc(Cn3cncn3)ccc2c1; ['COc1ccc2ccccc2c1']; ['OCn1cncn1']; [0.943943441]
-CCc1sccc1Cn1cncn1; [None]; [None]; [0]
-Cc1cccc(Cn2cncn2)n1; ['Cc1cccc(CCl)n1']; ['c1nc[nH]n1']; [0.997793555]
-Cn1ncc(N)c1Cn1cncn1; [None]; [None]; [0]
-Cc1csc(Cn2cncn2)n1; [None]; [None]; [0]
-COc1ccc(Cn2cncn2)cn1; ['COc1ccc(CCl)cn1']; ['c1nc[nH]n1']; [0.999690771]
-COc1ccc(Cn2cncn2)nc1; [None]; [None]; [0]
-Cc1ncc(NC(=O)C2CC2)[nH]1; [None]; [None]; [0]
-Cc1ccc(Cn2cncn2)nc1C; [None]; [None]; [0]
-FC(F)(F)c1cccc(Cn2cncn2)c1; ['FC(F)(F)c1cccc(CBr)c1']; ['c1nc[nH]n1']; [0.998821557]
-Cc1ncc(-c2ccccc2F)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1ccccc1F']; [0.914449453]
-Cc1ncc(-c2n[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc(C)[nH]2)cc1; [None]; [None]; [0]
-Cc1ncc(-c2cc[nH]c2)[nH]1; [None]; [None]; [0]
-Cc1ncc(-c2cnc(C)[nH]2)[nH]1; [None]; [None]; [0]
-Cc1ncc(-c2cccc(F)c2F)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1cccc(F)c1F']; [0.997754753]
-Cc1ncc(Nc2n[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
-COc1ccc2cc(-c3cnc(C)[nH]3)ccc2c1; ['COc1ccc2cc(B(O)O)ccc2c1']; ['Cc1ncc(I)[nH]1']; [0.999933]
-COc1cccc(-c2cnc(C)[nH]2)c1; ['COc1cccc(B(O)O)c1']; ['Cc1ncc(Br)[nH]1']; [0.994439244]
-Cc1csc(-c2cnc(C)[nH]2)n1; [None]; [None]; [0]
-Cc1ncc(-c2c(N)cnn2C)[nH]1; [None]; [None]; [0]
-CCc1sccc1-c1cnc(C)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cnc(C)[nH]2)cn1; ['COc1ccc(B(O)O)cn1', 'COc1ccc(B(O)O)cn1']; ['Cc1ncc(I)[nH]1', 'Cc1ncc(Br)[nH]1']; [0.998705387, 0.998705387]
-Cc1cccc(-c2cnc(C)[nH]2)n1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(C)c(C)n2)[nH]1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2ccccn2)CC1; []; []; []
-CC(=O)N1CCCN(c2cnc3cccnn23)CC1; ['Brc1cnc2cccnn12']; ['CC(=O)N1CCCNCC1']; [0.999884129]
-CC(=O)N1CCCN(c2ccco2)CC1; ['Brc1ccco1']; ['CC(=O)N1CCCNCC1']; [0.912894845]
-CC(=O)N1CCCN(c2ncc(Br)cn2)CC1; ['Brc1cnc(N2CCCNCC2)nc1', 'Brc1cnc(N2CCCNCC2)nc1']; ['CC(=O)OC(C)=O', 'CC(=O)O']; [0.999979615, 0.999979615]
-COc1ccc(-c2cnc(C)[nH]2)nc1; [None]; [None]; [0]
-Cn1cc(NC(=O)C2CC2)cn1; ['Cn1cc(N)cn1']; ['O=C(O)C1CC1']; [0.999355257]
-Cn1cc(-c2n[nH]c3ccccc23)cn1; ['Brc1n[nH]c2ccccc12']; ['Cn1cc(B(O)O)cn1']; [0.999714434]
-CNS(=O)(=O)c1ccc(-c2cnn(C)c2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [0.999881625, 0.999881625]
-Cc1ncc(-c2cnn(C)c2)[nH]1; ['Cc1ncc(I)[nH]1', 'Cc1ncc(Br)[nH]1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [0.999844313, 0.999844313]
-CC(=O)N1CCCN(c2cccc(C3CCNCC3)c2)CC1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2ccc(OC(F)(F)F)cc2)CC1; ['CC(=O)N1CCCNCC1']; ['Fc1ccc(OC(F)(F)F)cc1']; [0.999921441]
-COc1cccc(-c2cnn(C)c2)c1; ['COc1cccc(Br)c1', 'COc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cccc(I)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(I)cn1', 'Cn1cc(B(O)O)cn1']; [0.999987602, 0.999987602, 0.999987602]
-Cn1cc(-c2ccccc2F)cn1; ['CC1(C)OB(c2ccccc2F)OC1(C)C']; ['Cn1cc(I)cn1']; [0.999981761]
-Cn1cc(Nc2n[nH]c3ccccc23)cn1; ['Brc1n[nH]c2ccccc12']; ['Cn1cc(N)cn1']; [0.997353077]
-COc1ccc2cc(-c3cnn(C)c3)ccc2c1; ['COc1ccc2cc(B(O)O)ccc2c1', 'COc1ccc2cc(Br)ccc2c1']; ['Cn1cc(I)cn1', 'Cn1cc(B(O)O)cn1']; [0.999985099, 0.999985099]
-Cn1cc(-c2cc[nH]c2)cn1; [None]; [None]; [0]
-Cn1cc(-c2cccc(F)c2F)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cccc(F)c2F)OC1(C)C']; ['Fc1cccc(Br)c1F', 'Cn1cc(I)cn1']; [1.0, 1.0]
-CCc1sccc1-c1cnn(C)c1; [None]; [None]; [0]
-Cc1cccc(-c2cnn(C)c2)n1; ['Cc1cccc(Cl)n1']; ['Cn1cc(B(O)O)cn1']; [0.999889612]
-Cn1cc(-c2c(N)cnn2C)cn1; [None]; [None]; [0]
-Cc1csc(-c2cnn(C)c2)n1; [None]; [None]; [0]
-COc1ccc(-c2cnn(C)c2)nc1; ['COc1ccc(Cl)nc1']; ['Cn1cc(B(O)O)cn1']; [0.999934196]
-COc1ccc(-c2cnn(C)c2)cn1; ['COc1ccc(Br)cn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999985]
-CC(C)Oc1cccc(C2CCNCC2)c1; ['CC(C)O']; ['Oc1cccc(C2CCNCC2)c1']; [0.999142647]
-Cc1ccc(-c2cnn(C)c2)nc1C; [None]; [None]; [0]
-CC(C)Oc1ccccn1; ['CC(C)O', 'CC(C)[O-]']; ['Ic1ccccn1', 'Clc1ccccn1']; [0.999017119, 0.999017119]
-CC(C)Oc1ncc(Br)cn1; ['CC(C)[O-]', 'Brc1cnc(Br)nc1', 'CC(C)O']; ['Clc1ncc(Br)cn1', 'CC(C)O', 'CS(=O)(=O)c1ncc(Br)cn1']; [0.999667406, 0.999667406, 0.999667406]
-CC(C)Oc1cnc2cccnn12; [None]; [None]; [0]
-CC(C)Oc1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-CCNC(=O)Nc1ccccc1F; ['CCN']; ['O=C=Nc1ccccc1F']; [0.999606431]
-CCNC(=O)Nc1ccc(S(=O)(=O)NC)cc1; []; []; []
-CCNC(=O)Nc1cc[nH]c1; [None]; [None]; [0]
-CC(C)Oc1ccco1; [None]; [None]; [0]
-CCNC(=O)Nc1ccncn1; ['CCN=C=O']; ['Nc1ccncn1']; [0.999919653]
-CCNC(=O)Nc1n[nH]c2ccccc12; ['CCN=C=O']; ['Nc1n[nH]c2ccccc12']; [0.999971032]
-CCNC(=O)Nc1cccc(F)c1F; ['CCNC=O']; ['Nc1cccc(F)c1F']; [0.999975204]
-CCNC(=O)Nc1ccc(Cl)c(Cl)c1; ['CCNC=O']; ['Nc1ccc(Cl)c(Cl)c1']; [0.992027581]
-CCNC(=O)Nc1cnc(C)[nH]1; [None]; [None]; [0]
-CCNC(=O)Nc1cccc(OC)c1; ['CCN', 'CCNC=O']; ['COc1cccc(N=C=O)c1', 'COc1cccc(N)c1']; [0.999995708, 0.999995708]
-CCNC(=O)Nc1ccc2cc(OC)ccc2c1; ['CCNC(N)=O']; ['COc1ccc2cc(Br)ccc2c1']; [0.994336426]
-CCNC(=O)Nc1cccc(C)n1; ['CCNC(N)=O']; ['Cc1cccc(Cl)n1']; [0.996823192]
-CCNC(=O)Nc1ccc2ccccc2c1; ['CCN=C=O', 'CCNC(N)=O', 'CCNC(N)=O']; ['Nc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1']; [0.999971032, 0.999971032, 0.999971032]
-CCNC(=O)Nc1nc(C)cs1; ['CCN=C=O']; ['Cc1csc(N)n1']; [0.999796689]
-CCNC(=O)Nc1ccc(OC)nc1; ['CCN=C=O', 'CCNC=O']; ['COc1ccc(N)cn1', 'COc1ccc(N)cn1']; [0.999982119, 0.999982119]
-CCNC(=O)Nc1ccsc1CC; [None]; [None]; [0]
-CCNC(=O)Nc1ccc(OC)cn1; ['CCN=C=O']; ['COc1ccc(N)nc1']; [0.9999156]
-Fc1ccccc1NCc1ccccc1; ['Fc1ccccc1I', 'Fc1ccccc1Cl', 'Nc1ccccc1F']; ['NCc1ccccc1', 'NCc1ccccc1', 'OCc1ccccc1']; [0.994593799, 0.994593799, 0.994593799]
-CCNC(=O)Nc1ccc(C)c(C)n1; ['CCN=C=O']; ['Cc1ccc(N)nc1C']; [0.999944925]
-c1ccc(CNc2n[nH]c3ccccc23)cc1; [None]; [None]; [0]
-CCNC(=O)Nc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(NCc2ccccc2)cc1; ['BrCc1ccccc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(F)cc1']; ['CNS(=O)(=O)c1ccc(N)cc1', 'O=Cc1ccccc1', 'NCc1ccccc1']; [0.996441543, 0.996441543, 0.996441543]
-COc1cccc(NCc2ccccc2)c1; ['COc1cccc(I)c1', 'COc1cccc(N)c1']; ['NCc1ccccc1', 'O=Cc1ccccc1']; [0.980681896, 0.980681896]
-Cc1ncc(NCc2ccccc2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['NCc1ccccc1']; [0.826538444]
-Fc1cccc(NCc2ccccc2)c1F; ['ClCc1ccccc1', 'Fc1cccc(Cl)c1F', 'Fc1cccc(I)c1F', 'Nc1cccc(F)c1F']; ['Nc1cccc(F)c1F', 'NCc1ccccc1', 'NCc1ccccc1', 'OCc1ccccc1']; [0.998930395, 0.998930395, 0.998930395, 0.998930395]
-c1ccc(CNc2ccc3ccccc3c2)cc1; ['Nc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1']; ['OCc1ccccc1', 'NCc1ccccc1']; [0.996621251, 0.996621251]
-c1ccc(CNc2cc[nH]c2)cc1; [None]; [None]; [0]
-Cc1csc(NCc2ccccc2)n1; ['Cc1csc(Br)n1']; ['NCc1ccccc1']; [0.999675751]
-Clc1ccc(NCc2ccccc2)cc1Cl; ['Clc1ccc(Br)cc1Cl']; ['NCc1ccccc1']; [0.995296776]
-COc1ccc2cc(NCc3ccccc3)ccc2c1; ['COc1ccc2cc(Br)ccc2c1']; ['NCc1ccccc1']; [0.996943533]
-Cc1cccc(NCc2ccccc2)n1; ['Cc1cccc(Cl)n1', 'Cc1cccc[n+]1[O-]']; ['NCc1ccccc1', 'NCc1ccccc1']; [0.995314121, 0.995314121]
-COc1ccc(NCc2ccccc2)cn1; ['COc1ccc(N)cn1']; ['OCc1ccccc1']; [0.984158516]
-COc1ccc(NCc2ccccc2)nc1; ['COc1ccc(Br)nc1']; ['NCc1ccccc1']; [0.998742759]
-Cc1cc(NC(=O)C2CC2)no1; ['Cc1cc(N)no1']; ['O=C(O)C1CC1']; [0.999546707]
-CCc1sccc1NCc1ccccc1; [None]; [None]; [0]
-Cc1ccc(NCc2ccccc2)nc1C; [None]; [None]; [0]
-FC(F)(F)c1cccc(NCc2ccccc2)c1; []; []; []
-Cc1cc(-c2n[nH]c3ccccc23)no1; [None]; [None]; [0]
-Cc1cc(-c2ccccc2F)no1; ['C#CC']; ['ON=Cc1ccccc1F']; [0.998233795]
-CNS(=O)(=O)c1ccc(-c2cc(C)on2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc[nH]c2)no1; [None]; [None]; [0]
-Cc1ncc(-c2cc(C)on2)[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cccc(F)c2F)no1; [None]; [None]; [0]
-COc1cccc(-c2cc(C)on2)c1; [None]; [None]; [0]
-Cc1cc(Nc2n[nH]c3ccccc23)no1; [None]; [None]; [0]
-COc1ccc2cc(-c3cc(C)on3)ccc2c1; [None]; [None]; [0]
-Cc1cc(-c2ccc(Cl)c(Cl)c2)no1; [None]; [None]; [0]
-CCc1sccc1-c1cc(C)on1; [None]; [None]; [0]
-Cc1csc(-c2cc(C)on2)n1; [None]; [None]; [0]
-Cc1cccc(-c2cc(C)on2)n1; [None]; [None]; [0]
-Cc1cc(-c2c(N)cnn2C)no1; [None]; [None]; [0]
-COc1ccc(-c2cc(C)on2)cn1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C)c(C)n2)no1; [None]; [None]; [0]
-OC[C@@H](Nc1n[nH]c2ccccc12)c1ccccc1; ['Brc1n[nH]c2ccccc12']; ['N[C@H](CO)c1ccccc1']; [0.999702752]
-OC[C@@H](Nc1ccccc1F)c1ccccc1; [None]; [None]; [0]
-COc1ccc(-c2cc(C)on2)nc1; [None]; [None]; [0]
-Cc1ncc(N[C@H](CO)c2ccccc2)[nH]1; [None]; [None]; [0]
-OC[C@@H](Nc1cc[nH]c1)c1ccccc1; [None]; [None]; [0]
-OC[C@@H](Nc1cccc(F)c1F)c1ccccc1; ['Nc1cccc(F)c1F']; ['c1ccc([C@H]2CO2)cc1']; [0.999925494]
-COc1cccc(N[C@H](CO)c2ccccc2)c1; ['COc1cccc(Br)c1']; ['N[C@H](CO)c1ccccc1']; [0.997617662]
-CNS(=O)(=O)c1ccc(N[C@H](CO)c2ccccc2)cc1; [None]; [None]; [0]
-OC[C@@H](Nc1ccc2ccccc2c1)c1ccccc1; ['Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1']; ['N[C@H](CO)c1ccccc1', 'N[C@H](CO)c1ccccc1']; [0.998845339, 0.998845339]
-COc1ccc2cc(N[C@H](CO)c3ccccc3)ccc2c1; ['COc1ccc2cc(Br)ccc2c1', 'COc1ccc2cc(OC)ccc2c1']; ['N[C@H](CO)c1ccccc1', 'N[C@H](CO)c1ccccc1']; [0.999308467, 0.999308467]
-OC[C@@H](Nc1ccncn1)c1ccccc1; ['Clc1ccncn1']; ['N[C@H](CO)c1ccccc1']; [0.998796463]
-Cc1csc(N[C@H](CO)c2ccccc2)n1; ['Cc1csc(Cl)n1']; ['N[C@H](CO)c1ccccc1']; [0.987861276]
-Cc1cccc(N[C@H](CO)c2ccccc2)n1; ['Cc1cccc(Cl)n1']; ['N[C@H](CO)c1ccccc1']; [0.974280298]
-OC[C@@H](Nc1ccc(Cl)c(Cl)c1)c1ccccc1; ['Clc1ccc(Br)cc1Cl', 'Fc1ccc(Cl)c(Cl)c1', 'Clc1ccc(I)cc1Cl']; ['N[C@H](CO)c1ccccc1', 'N[C@H](CO)c1ccccc1', 'N[C@H](CO)c1ccccc1']; [0.9979406, 0.9979406, 0.9979406]
-COc1ccc(N[C@H](CO)c2ccccc2)cn1; ['COc1ccc(F)cn1']; ['N[C@H](CO)c1ccccc1']; [0.988317311]
-COc1ccc(N[C@H](CO)c2ccccc2)nc1; ['COc1ccc(Cl)nc1']; ['N[C@H](CO)c1ccccc1']; [0.989151239]
-CCc1sccc1N[C@H](CO)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(N[C@H](CO)c2ccccc2)nc1C; ['Cc1ccc[n+]([O-])c1C']; ['N[C@H](CO)c1ccccc1']; [0.99939]
-O=C(Nc1cnoc1)C1CC1; [None]; [None]; [0]
-OC[C@@H](Nc1cccc(C(F)(F)F)c1)c1ccccc1; ['FC(F)(F)c1cccc(I)c1', 'Nc1cccc(C(F)(F)F)c1']; ['N[C@H](CO)c1ccccc1', 'c1ccc([C@H]2CO2)cc1']; [0.978806555, 0.978806555]
-c1ccc2c(-c3cnoc3)n[nH]c2c1; [None]; [None]; [0]
-Fc1ccccc1-c1cnoc1; ['Fc1ccccc1Br', 'Ic1cnoc1']; ['c1cnoc1', 'OB(O)c1ccccc1F']; [0.993326902, 0.993326902]
-CNS(=O)(=O)c1ccc(-c2cnoc2)cc1; [None]; [None]; [0]
-c1cc(-c2cnoc2)c[nH]1; [None]; [None]; [0]
-Cc1ncc(-c2cnoc2)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2cnoc2)c1; ['Brc1cnoc1']; ['COc1cccc(B(O)O)c1']; [0.99810636]
-Fc1cccc(-c2cnoc2)c1F; ['Brc1cnoc1']; ['OB(O)c1cccc(F)c1F']; [0.999905586]
-c1ccc2c(Nc3cnoc3)n[nH]c2c1; [None]; [None]; [0]
-COc1ccc2cc(-c3cnoc3)ccc2c1; [None]; [None]; [0]
-CCc1sccc1-c1cnoc1; [None]; [None]; [0]
-Clc1ccc(-c2cnoc2)cc1Cl; ['Brc1cnoc1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999326]
-Cc1csc(-c2cnoc2)n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnoc1; [None]; [None]; [0]
-COc1ccc(-c2cnoc2)cn1; [None]; [None]; [0]
-Cc1cccc(-c2cnoc2)n1; [None]; [None]; [0]
-c1ccc(NCCc2cccnc2)nc1; ['Ic1ccccn1']; ['NCCc1cccnc1']; [0.998075485]
-Cc1ccc(-c2cnoc2)nc1C; [None]; [None]; [0]
-COc1ccc(-c2cnoc2)nc1; [None]; [None]; [0]
-Brc1cnc(NCCc2cccnc2)nc1; ['Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1']; ['NCCc1cccnc1', 'NCCc1cccnc1']; [0.996926, 0.996926]
-c1cncc(CCNc2cnc3cccnn23)c1; [None]; [None]; [0]
-c1cncc(CCNc2cccc(C3CCNCC3)c2)c1; ['Brc1cccc(C2CCNCC2)c1']; ['NCCc1cccnc1']; [0.999669194]
-FC(F)(F)Oc1ccc(NCCc2cccnc2)cc1; ['FC(F)(F)Oc1ccc(Br)cc1']; ['NCCc1cccnc1']; [0.99909544]
-C[C@H](Nc1ccccn1)c1ccc(F)cc1; ['C[C@H](N)c1ccc(F)cc1', 'C[C@H](N)c1ccc(F)cc1', 'C[C@H](N)c1ccc(F)cc1']; ['Clc1ccccn1', 'Ic1ccccn1', '[O-][n+]1ccccc1']; [0.999978185, 0.999978185, 0.999978185]
-c1cncc(CCNc2ccco2)c1; [None]; [None]; [0]
-C[C@H](Nc1ncc(Br)cn1)c1ccc(F)cc1; ['Brc1cnc(Br)nc1']; ['C[C@H](N)c1ccc(F)cc1']; [0.999892712]
-C[C@H](Nc1cccc(C2CCNCC2)c1)c1ccc(F)cc1; ['Brc1cccc(C2CCNCC2)c1']; ['C[C@H](N)c1ccc(F)cc1']; [0.999804199]
-C[C@H](Nc1ccc(OC(F)(F)F)cc1)c1ccc(F)cc1; ['CC(O)c1ccc(F)cc1', 'C#Cc1ccc(F)cc1']; ['Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1']; [0.999982834, 0.999982834]
-CN(c1ccccc1F)C1CCCCC1; ['CNC1CCCCC1']; ['Fc1ccccc1Br']; [0.923525]
-C[C@H](Nc1cnc2cccnn12)c1ccc(F)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(N(C)C2CCCCC2)cc1; ['CNC1CCCCC1']; ['CNS(=O)(=O)c1ccc(F)cc1']; [0.913268447]
-C[C@H](Nc1ccco1)c1ccc(F)cc1; [None]; [None]; [0]
-CN(c1cc[nH]c1)C1CCCCC1; [None]; [None]; [0]
-CN(c1n[nH]c2ccccc12)C1CCCCC1; ['CNC1CCCCC1']; ['Clc1n[nH]c2ccccc12']; [0.993543625]
-CN(c1ccncn1)C1CCCCC1; ['CNC1CCCCC1']; ['Clc1ccncn1']; [0.997651517]
-CN(c1ccc(Cl)c(Cl)c1)C1CCCCC1; ['CNC1CCCCC1']; ['Fc1ccc(Cl)c(Cl)c1']; [0.996577919]
-CN(c1cccc(F)c1F)C1CCCCC1; ['CNC1CCCCC1']; ['Fc1cccc(F)c1F']; [0.999627709]
-Cc1ncc(N(C)C2CCCCC2)[nH]1; [None]; [None]; [0]
-COc1cccc(N(C)C2CCCCC2)c1; ['CNC1CCCCC1']; ['COc1cccc(Br)c1']; [0.99662292]
-COc1ccc2cc(N(C)C3CCCCC3)ccc2c1; ['CNC1CCCCC1']; ['COc1ccc2cc(Br)ccc2c1']; [0.986019731]
-CCc1sccc1N(C)C1CCCCC1; [None]; [None]; [0]
-Cc1cccc(N(C)C2CCCCC2)n1; ['CNC1CCCCC1']; ['Cc1cccc(Cl)n1']; [0.997812629]
-CN(c1ccc2ccccc2c1)C1CCCCC1; ['Brc1ccc2ccccc2c1']; ['CNC1CCCCC1']; [0.989089072]
-COc1ccc(N(C)C2CCCCC2)nc1; ['CNC1CCCCC1', 'CNC1CCCCC1']; ['COc1ccc(Cl)nc1', 'COc1ccc(F)nc1']; [0.999869108, 0.999869108]
-Cc1ccc(N(C)C2CCCCC2)nc1C; [None]; [None]; [0]
-Cc1csc(N(C)C2CCCCC2)n1; ['CNC1CCCCC1']; ['Cc1csc(Br)n1']; [0.996910036]
-CN(c1cccc(C(F)(F)F)c1)C1CCCCC1; ['CNC1CCCCC1']; ['FC(F)(F)c1cccc(Br)c1']; [0.999012828]
-COc1ccc(N(C)C2CCCCC2)cn1; [None]; [None]; [0]
-Oc1ncccc1-c1ccccc1F; ['OB(O)c1ccccc1F']; ['Oc1ncccc1Br']; [0.999679804]
-CNS(=O)(=O)c1ccc(-c2cccnc2O)cc1; [None]; [None]; [0]
-COc1cccc(-c2cccnc2O)c1; ['COc1cccc(B(O)O)c1', 'COc1cccc(B(O)O)c1']; ['Oc1ncccc1I', 'Oc1ncccc1Cl']; [0.999858141, 0.999858141]
-Oc1ncccc1-c1n[nH]c2ccccc12; [None]; [None]; [0]
-Oc1ncccc1-c1cc[nH]c1; [None]; [None]; [0]
-COc1ccc2cc(-c3cccnc3O)ccc2c1; ['COc1ccc2cc(B(O)O)ccc2c1']; ['Oc1ncccc1Br']; [0.999988794]
-Cc1ncc(-c2cccnc2O)[nH]1; [None]; [None]; [0]
-Oc1ncccc1-c1ccc(Cl)c(Cl)c1; ['OB(O)c1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(Cl)c(Cl)c1']; ['Oc1ncccc1Br', 'Oc1ncccc1I']; [0.999970675, 0.999970675]
-Oc1ncccc1-c1cccc(F)c1F; ['OB(O)c1cccc(F)c1F']; ['Oc1ncccc1Br']; [0.999975681]
-Cc1csc(-c2cccnc2O)n1; [None]; [None]; [0]
-Cc1cccc(-c2cccnc2O)n1; [None]; [None]; [0]
-COc1ccc(-c2cccnc2O)cn1; ['COc1ccc(B(O)O)cn1']; ['Oc1ncccc1Br']; [0.999820054]
-CCc1sccc1-c1cccnc1O; [None]; [None]; [0]
-COc1ccc(-c2cccnc2O)nc1; [None]; [None]; [0]
-Oc1ccc2nc(-c3ccccc3F)[nH]c2c1; ['Nc1ccc(O)cc1[N+](=O)[O-]']; ['O=Cc1ccccc1F']; [0.880109251]
-Oc1ccc2nc(-c3n[nH]c4ccccc34)[nH]c2c1; [None]; [None]; [0]
-Cc1ccc(-c2cccnc2O)nc1C; [None]; [None]; [0]
-Cc1ncc(-c2nc3ccc(O)cc3[nH]2)[nH]1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cc[nH]c3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1nc2ccc(O)cc2[nH]1)C1CC1; [None]; [None]; [0]
-COc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc3ccc(O)cc3[nH]2)cc1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cccc(F)c3F)[nH]c2c1; [None]; [None]; [0]
-COc1ccc2cc(-c3nc4ccc(O)cc4[nH]3)ccc2c1; [None]; [None]; [0]
-CCc1sccc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-Oc1ccc2nc(Nc3n[nH]c4ccccc34)[nH]c2c1; [None]; [None]; [0]
-Cc1csc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
-Cc1cccc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
-Oc1ccc2nc(-c3ccc(Cl)c(Cl)c3)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2nc3ccc(O)cc3[nH]2)cn1; [None]; [None]; [0]
-COc1ccc(-c2nc3ccc(O)cc3[nH]2)nc1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)OCO3)ccc1O; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; ['OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2']; [0.999613941, 0.999613941]
-c1ccc2c(-c3ccc4c(c3)OCO4)n[nH]c2c1; ['CC(C)(C)OC(=O)n1nc(I)c2ccccc21', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C']; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1n[nH]c2ccccc12']; [0.999999762, 0.999999762]
-c1ccc2c(Nc3ccc4c(c3)OCO4)n[nH]c2c1; ['Brc1n[nH]c2ccccc12', 'Clc1n[nH]c2ccccc12']; ['Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2']; [0.999364436, 0.999364436]
-Cc1ccc(-c2nc3ccc(O)cc3[nH]2)nc1C; [None]; [None]; [0]
-Fc1cccc(-c2ccc3c(c2)OCO3)c1F; ['Fc1cccc(Br)c1F', 'Brc1ccc2c(c1)OCO2', 'O=S(=O)(Oc1cccc(F)c1F)C(F)(F)F', 'Fc1cccc(Cl)c1F', 'Clc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1cccc(F)c1F', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1cccc(F)c1F']; [0.999993086, 0.999993086, 0.999993086, 0.999993086, 0.999993086]
-O=C(Nc1ccc2c(c1)OCO2)C1CC1; ['Nc1ccc2c(c1)OCO2']; ['O=C(O)C1CC1']; [0.999671221]
-COc1ccc2cc(-c3ccc4c(c3)OCO4)ccc2c1; ['Brc1ccc2c(c1)OCO2', 'COc1ccc2cc(Br)ccc2c1']; ['COc1ccc2cc(B(O)O)ccc2c1', 'OB(O)c1ccc2c(c1)OCO2']; [0.999935031, 0.999935031]
-CCc1sccc1-c1ccc2c(c1)OCO2; ['CCc1cccs1']; ['Ic1ccc2c(c1)OCO2']; [0.853361487]
-Cc1csc(-c2ccc3c(c2)OCO3)n1; ['CC(=O)CCl', 'Brc1ccc2c(c1)OCO2']; ['NC(=S)c1ccc2c(c1)OCO2', 'Cc1cscn1']; [0.99998951, 0.99998951]
-Cc1cccc(-c2ccc3c(c2)OCO3)n1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Br[Mg]c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2']; ['Cc1cccc(Br)n1', 'Cc1cccc(Br)n1', 'Cc1cccc(Br)n1', 'Cc1ccccn1']; [0.99995029, 0.99995029, 0.99995029, 0.99995029]
-c1cc(-c2ccc3c(c2)OCO3)c[nH]1; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(c2)OCO3)cn1; ['Brc1ccc2c(c1)OCO2', 'COc1ccc(B(O)O)cn1', 'Brc1ccc2c(c1)OCO2']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccc2c(c1)OCO2', 'COc1ccc(Br)cn1']; [0.999988794, 0.999988794, 0.999988794]
-COc1ccc(-c2ccc3c(c2)OCO3)nc1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C']; ['COc1ccc(Br)nc1']; [0.999984503]
-Clc1ccc(-c2ccc3c(c2)OCO3)cc1Cl; ['Clc1ccc(I)cc1Cl', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc2c(c1)OCO2', 'Clc1ccccc1Cl', 'Nc1ccc(Cl)c(Cl)c1']; ['OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc(Cl)c(Cl)c1', 'Nc1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2']; [0.999836445, 0.999836445, 0.999836445, 0.999836445, 0.999836445, 0.999836445]
-Cn1ncc(N)c1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-Cc1ccc(Cc2cnccn2)o1; [None]; [None]; [0]
-Cc1ccc(Cc2ccc(O)cc2)o1; ['Cc1ccc(CO)o1']; ['Oc1ccccc1']; [0.750332177]
-NC(=O)Cc1cccc(-c2ccccc2F)c1; ['CC1(C)OB(c2cccc(CC(N)=O)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2F)OC1(C)C', 'NC(=O)Cc1cccc(Br)c1']; ['Fc1ccccc1Br', 'NC(=O)Cc1cccc(Br)c1', 'OB(O)c1ccccc1F']; [0.999998212, 0.999998212, 0.999998212]
-Cc1ccc(-c2ccc3c(c2)OCO3)nc1C; [None]; [None]; [0]
-Cc1ccc(-c2ccccn2)o1; ['Cc1ccco1', 'Brc1ccccn1']; ['Clc1ccccn1', 'Cc1ccc(B(O)O)o1']; [0.998482049, 0.998482049]
-CNS(=O)(=O)c1ccc(-c2cccc(CC(N)=O)c2)cc1; ['CC1(C)OB(c2cccc(CC(N)=O)c2)OC1(C)C']; ['CNS(=O)(=O)c1ccc(Br)cc1']; [0.99968636]
-NC(=O)Cc1cccc(-c2n[nH]c3ccccc23)c1; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2cc[nH]c2)c1; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2ccncn2)c1; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2cccc(F)c2F)c1; ['CC1(C)OB(c2cccc(CC(N)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(F)c2F)OC1(C)C', 'NC(=O)Cc1cccc(Br)c1']; ['Fc1cccc(Br)c1F', 'NC(=O)Cc1cccc(Br)c1', 'OB(O)c1cccc(F)c1F']; [0.999999881, 0.999999881, 0.999999881]
-Cc1ncc(-c2cccc(CC(N)=O)c2)[nH]1; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2ccc(Cl)c(Cl)c2)c1; ['NC(=O)Cc1cccc(Br)c1']; ['OB(O)c1ccc(Cl)c(Cl)c1']; [0.999861121]
-COc1ccc2cc(-c3cccc(CC(N)=O)c3)ccc2c1; ['CC1(C)OB(c2cccc(CC(N)=O)c2)OC1(C)C', 'COc1ccc2cc(B(O)O)ccc2c1']; ['COc1ccc2cc(Br)ccc2c1', 'NC(=O)Cc1cccc(Br)c1']; [0.999944, 0.999944]
-COc1cccc(-c2cccc(CC(N)=O)c2)c1; ['COc1cccc(B(O)O)c1']; ['NC(=O)Cc1cccc(Br)c1']; [0.998036206]
-NC(=O)Cc1cccc(-c2ccc3ccccc3c2)c1; ['NC(=O)Cc1cccc(Br)c1']; ['OB(O)c1ccc2ccccc2c1']; [0.999922514]
-Cc1cccc(-c2cccc(CC(N)=O)c2)n1; ['CC1(C)OB(c2cccc(CC(N)=O)c2)OC1(C)C']; ['Cc1cccc(Cl)n1']; [0.999534]
-CCc1sccc1-c1cccc(CC(N)=O)c1; [None]; [None]; [0]
-Cc1csc(-c2cccc(CC(N)=O)c2)n1; [None]; [None]; [0]
-COc1ccc(-c2cccc(CC(N)=O)c2)nc1; ['CC1(C)OB(c2cccc(CC(N)=O)c2)OC1(C)C']; ['COc1ccc(Cl)nc1']; [0.99993825]
-COc1ccc(-c2cccc(CC(N)=O)c2)cn1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cn1']; ['NC(=O)Cc1cccc(Br)c1']; [0.999996185]
-Cc1ccc(-c2cccc(CC(N)=O)c2)nc1C; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2cccc(C(F)(F)F)c2)c1; ['NC(=O)Cc1cccc(Br)c1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.998166919]
-Nc1nc(NC(=O)C2CC2)nc2ccccc12; ['Nc1nc(N)c2ccccc2n1', 'Nc1nc(N)c2ccccc2n1']; ['O=C(Cl)C1CC1', 'O=C(O)C1CC1']; [0.993201435, 0.993201435]
-Nc1nc(-c2ccccc2F)nc2ccccc12; ['N#Cc1ccccc1Br']; ['O=Cc1ccccc1F']; [0.99925071]
-Nc1nc(-c2n[nH]c3ccccc23)nc2ccccc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc(N)c3ccccc3n2)cc1; [None]; [None]; [0]
-Nc1nc(-c2cc[nH]c2)nc2ccccc12; [None]; [None]; [0]
-Nc1nc(Nc2n[nH]c3ccccc23)nc2ccccc12; [None]; [None]; [0]
-Cc1ncc(-c2nc(N)c3ccccc3n2)[nH]1; [None]; [None]; [0]
-Nc1nc(-c2cccc(F)c2F)nc2ccccc12; ['N#Cc1ccccc1N']; ['O=C(Cl)c1cccc(F)c1F']; [0.992779315]
-COc1cccc(-c2nc(N)c3ccccc3n2)c1; ['COc1cccc(C=O)c1']; ['N#Cc1ccccc1Br']; [0.999854326]
-Nc1nc(-c2ccc(Cl)c(Cl)c2)nc2ccccc12; ['N#Cc1ccccc1Br', 'N#Cc1ccccc1N']; ['O=Cc1ccc(Cl)c(Cl)c1', 'O=C(Cl)c1ccc(Cl)c(Cl)c1']; [0.999942422, 0.999942422]
-CCc1sccc1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
-COc1ccc2cc(-c3nc(N)c4ccccc4n3)ccc2c1; ['COc1ccc2cc(C=O)ccc2c1']; ['N#Cc1ccccc1Br']; [0.999413]
-Cn1ncc(N)c1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
-Cc1csc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
-Cc1ccc(-c2nc(N)c3ccccc3n2)nc1C; [None]; [None]; [0]
-Cc1cccc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
-COc1ccc(-c2nc(N)c3ccccc3n2)cn1; [None]; [None]; [0]
-O=C(Nc1c[nH]c2cccnc12)C1CC1; [None]; [None]; [0]
-COc1ccc(-c2nc(N)c3ccccc3n2)nc1; [None]; [None]; [0]
-c1ccc2c(-c3c[nH]c4cccnc34)n[nH]c2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
-Fc1ccccc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-Cc1ncc(-c2c[nH]c3cccnc23)[nH]1; [None]; [None]; [0]
-c1ccc2c(Nc3c[nH]c4cccnc34)n[nH]c2c1; [None]; [None]; [0]
-c1cnc2c(-c3cc[nH]c3)c[nH]c2c1; [None]; [None]; [0]
-COc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
-Clc1ccc(-c2c[nH]c3cccnc23)cc1Cl; [None]; [None]; [0]
-COc1ccc2cc(-c3c[nH]c4cccnc34)ccc2c1; [None]; [None]; [0]
-Fc1cccc(-c2c[nH]c3cccnc23)c1F; [None]; [None]; [0]
-Cn1ncc(N)c1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-Cc1csc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
-CCc1sccc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c3cccnc23)nc1C; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c3cccnc23)cn1; [None]; [None]; [0]
-Cc1cccc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
-N[C@H](c1ccco1)c1ccco1; [None]; [None]; [0]
-Oc1ccc(-c2ccc(OC(F)(F)F)cc2)cc1; ['FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1']; [0.999982715, 0.999982715]
-Oc1ccc(-c2cc(C(F)(F)F)ccn2)cc1; ['FC(F)(F)c1ccnc(Br)c1']; ['OB(O)c1ccc(O)cc1']; [0.999287307]
-COc1ccc(-c2c[nH]c3cccnc23)nc1; [None]; [None]; [0]
-Oc1ccc(-c2cncs2)cc1; [None]; [None]; [0]
-Cn1cc(-c2cc(F)ccc2F)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(Br)cn1']; ['Fc1ccc(F)c(I)c1', 'OB(O)c1cc(F)ccc1F']; [0.999976277, 0.999976277]
-Oc1ccc(-c2cccc(F)c2)cc1; ['Fc1cccc(Br)c1', 'Fc1cccc(Cl)c1', 'OB(O)c1cccc(F)c1', 'OB(O)c1cccc(F)c1']; ['OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1']; [0.998946249, 0.998946249, 0.998946249, 0.998946249]
-Cc1cccc(-c2ccc(O)cc2)n1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cc1cccc(Cl)n1']; ['Cc1cccc(Br)n1', 'OB(O)c1ccc(O)cc1']; [0.999961376, 0.999961376]
-Cn1cc(-c2ccccc2Cl)cn1; ['Clc1ccccc1Br', 'Clc1ccccc1Cl']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999991655, 0.999991655]
-Cn1cc(-c2cc(C(F)(F)F)ccn2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['FC(F)(F)c1ccnc(Br)c1']; [0.99999404]
-Cn1cc(-c2nccn2C)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cn1ccnc1Br']; [0.999994159]
-Cn1cc(-c2cccs2)cn1; ['Brc1cccs1', 'Cn1cc(Br)cn1', 'Cn1cc(Br)cn1', 'Brc1cccs1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'OB(O)c1cccs1', 'c1ccsc1', 'Cn1cc(B(O)O)cn1']; [0.99994123, 0.99994123, 0.99994123, 0.99994123]
-Cn1cc(Cn2ccccc2=O)cn1; [None]; [None]; [0]
-Cn1cc(-c2cccc3c2OCCO3)cn1; [None]; [None]; [0]
-Cn1cc(-c2ccoc2)cn1; ['Brc1ccoc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999913216]
-Cn1cc(-c2ccc([S@](C)=O)cc2)cn1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cn1']; [0.999381542]
-Cn1cc(-c2ccon2)cn1; [None]; [None]; [0]
-Cc1cc(NC(=O)Nc2cccc(C(F)(F)F)c2)ccc1O; ['Cc1cc(N)ccc1O']; ['O=C=Nc1cccc(C(F)(F)F)c1']; [0.999482393]
-Cc1cc(NC(=O)Nc2ccccc2)ccc1O; ['Cc1cc(N)ccc1O']; ['O=C=Nc1ccccc1']; [0.999284923]
-Cc1cc(-c2cc(F)ccc2F)ccc1O; ['Cc1cc(I)ccc1O', 'Cc1ccccc1O']; ['OB(O)c1cc(F)ccc1F', 'Fc1ccc(F)c(Br)c1']; [0.998280644, 0.998280644]
-Cc1cc(-c2nc3ccccc3[nH]2)ccc1O; ['Cc1cc(C=O)ccc1O']; ['Nc1ccccc1[N+](=O)[O-]']; [0.902180135]
-Cc1cc(-c2cc(C(F)(F)F)ccn2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2nccn2C)ccc1O; [None]; [None]; [0]
-Cc1cc(Cn2ccccc2=O)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cccc3c2OCCO3)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccoc2)ccc1O; ['Cc1cc(Br)ccc1O']; ['OB(O)c1ccoc1']; [0.989531636]
-Cc1cc(Nc2ccon2)ccc1O; ['Cc1cc(Cl)ccc1O']; ['Nc1ccon1']; [0.987763822]
-CCc1ccc(NC(=O)Nc2ccccc2)cc1; ['CCc1ccc(N=C=O)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(I)cc1']; ['Nc1ccccc1', 'O=C=Nc1ccccc1', 'NC(=O)Nc1ccccc1']; [0.998353601, 0.998353601, 0.998353601]
-CCc1ccc(-c2cc(F)ccc2F)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccccc1', 'CCc1ccc(Br)cc1']; ['Fc1ccc(F)c(Br)c1', 'OB(O)c1cc(F)ccc1F', 'Fc1ccc(F)c(Br)c1', 'Fc1ccc(F)cc1']; [0.999706805, 0.999706805, 0.999706805, 0.999706805]
-Cc1cc(-c2ccon2)ccc1O; [None]; [None]; [0]
-CCc1ccc(-c2ccccc2Cl)cc1; ['CCc1ccc([Mg]Br)cc1']; ['COc1ccccc1Cl']; [0.828746438]
-CCc1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['CCc1ccc(Br)cc1']; ['FC(F)(F)c1cccc(Br)c1']; [0.998513162]
-CCc1ccc(NC(=O)Nc2cccc(C(F)(F)F)c2)cc1; []; []; []
-CCc1ccc(-c2nccn2C)cc1; [None]; [None]; [0]
-CCc1ccc(Cn2ccccc2=O)cc1; ['CCc1ccc(CCl)cc1']; ['O=c1cccc[nH]1']; [0.962227702]
-CCc1ccc(-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
-CCc1ccc(-c2cccs2)cc1; []; []; []
-CCc1ccc(Nc2ccon2)cc1; ['CCc1ccc(I)cc1']; ['Nc1ccon1']; [0.997070789]
-CCc1ccc(-c2cccc3c2OCCO3)cc1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cc(C(F)(F)F)ccn1; ['FC(F)(F)c1ccnc(Cl)c1', 'FC(F)(F)c1ccncc1']; ['OB(O)c1c(F)cccc1F', 'OB(O)c1c(F)cccc1F']; [0.999909639, 0.999909639]
-CCc1ccc(-c2ccon2)cc1; [None]; [None]; [0]
-Fc1cccc(-c2c(F)cccc2F)c1; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2F)OC1(C)C', 'Fc1cccc(F)c1I', 'Fc1cccc(I)c1', 'Fc1cccc(Br)c1']; ['Fc1cccc(F)c1Br', 'Fc1cccc(Br)c1', 'OB(O)c1cccc(F)c1', 'OB(O)c1c(F)cccc1F', 'Fc1cccc(F)c1Br']; [0.999989033, 0.999989033, 0.999989033, 0.999989033, 0.999989033]
-CC(C)(C)Oc1c(F)cccc1F; ['CC(C)(C)[O-]', 'C=C(C)C', 'CC(C)(C)Cl']; ['Fc1cccc(F)c1Br', 'Oc1c(F)cccc1F', 'Oc1c(F)cccc1F']; [0.99417311, 0.99417311, 0.99417311]
-CCc1ccc(-c2ccc([S@](C)=O)cc2)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; ['CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; [0.998858929, 0.998858929]
-CCc1ccc(-c2ccoc2)cc1; ['CCc1ccc(Br)cc1']; ['OB(O)c1ccoc1']; [0.999192536]
-Cc1cccc(-c2c(F)cccc2F)n1; ['Cc1cccc(Cl)n1']; ['OB(O)c1c(F)cccc1F']; [0.999313474]
-Fc1cccc(F)c1-c1cncs1; ['Fc1cccc(F)c1Br', 'Fc1cccc(F)c1I']; ['c1cscn1', 'c1cscn1']; [0.999616861, 0.999616861]
-Fc1cccc(F)c1-c1ccc(OC(F)(F)F)cc1; ['FC(F)(F)Oc1ccc(I)cc1']; ['Fc1cccc(F)c1I']; [0.999963641]
-Fc1ccccc1-c1cc(C(F)(F)F)ccn1; ['FC(F)(F)c1ccnc(Cl)c1']; ['OB(O)c1ccccc1F']; [0.999851346]
-Cc1cncc(-c2c(F)cccc2F)n1; ['Cc1cncc(Cl)n1']; ['Fc1cccc(F)c1']; [0.998020411]
-CC(C)(C)Oc1ccccc1F; ['CC(C)(C)Br', 'CN(C)C(OC(C)(C)C)OC(C)(C)C']; ['Oc1ccccc1F', 'Oc1ccccc1F']; [0.893651187, 0.893651187]
-Fc1ccccc1-c1ccc(OC(F)(F)F)cc1; ['FC(F)(F)Oc1ccc(I)cc1']; ['Fc1ccccc1I']; [0.999947429]
-Cc1cncc(-c2ccccc2F)n1; ['CC1(C)OB(c2ccccc2F)OC1(C)C', 'Cc1cncc(Cl)n1']; ['Cc1cncc(Cl)n1', 'OB(O)c1ccccc1F']; [0.999918699, 0.999918699]
-Fc1cccc(-c2ccccc2F)c1; ['Fc1cccc(I)c1']; ['Fc1ccccc1I']; [0.994006753]
-NC(=O)c1ccc(-c2cccc(F)c2)cc1; []; []; []
-Cc1cccc(-c2ccccc2F)n1; ['CC1(C)OB(c2ccccc2F)OC1(C)C']; ['Cc1cccc(Br)n1']; [0.999939799]
-NC(=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; []; []; []
-Fc1ccccc1-c1cncs1; ['Fc1ccccc1I']; ['c1cscn1']; [0.995243371]
-NC(=O)c1ccc(-c2cncs2)cc1; ['NC(=O)c1ccc(Br)cc1']; ['c1cscn1']; [0.990133286]
-Cc1cncc(-c2ccc(C(N)=O)cc2)n1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Cc1cncc(Cl)n1']; ['Cc1cncc(Br)n1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.999999642, 0.999999642]
-NC(=O)c1ccc(-c2cc(C(F)(F)F)ccn2)cc1; ['FC(F)(F)c1ccnc(Cl)c1']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999943495]
-NC(=O)c1ccc(-c2ccc(OC(F)(F)F)cc2)cc1; []; []; []
-Cc1cccc(-c2ccc(C(N)=O)cc2)n1; ['Cc1cccc(Br)n1']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999906898]
-Oc1ccc(-c2cccc(F)c2)c(Cl)c1; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C', 'OB(O)c1cccc(F)c1', 'OB(O)c1cccc(F)c1']; ['Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(Cl)c(Cl)c1']; [0.999996066, 0.999996066, 0.999996066]
-Oc1ccc(-c2ccc(OC(F)(F)F)cc2)c(Cl)c1; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(Br)c(Cl)c1', 'O=C(O)c1cc(O)cc(Cl)c1', 'Oc1cccc(Cl)c1']; [0.999996662, 0.999996662, 0.999996662, 0.999996662]
-Oc1ccc(-c2cccc(C(F)(F)F)c2)c(Cl)c1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; ['Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(Cl)c(Cl)c1']; [0.999994874, 0.999994874, 0.999994874]
-Oc1ccc(-c2cc(C(F)(F)F)ccn2)c(Cl)c1; [None]; [None]; [0]
-Oc1ccc(-c2cncs2)c(Cl)c1; [None]; [None]; [0]
-Cc1cccc(-c2ccc(O)cc2Cl)n1; [None]; [None]; [0]
-Oc1ccc(-c2cccc3sccc23)c(Cl)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(COc2ccccc2Cl)c1; ['FC(F)(F)c1cccc(CCl)c1']; ['Oc1ccccc1Cl']; [0.999215603]
-FC(F)(F)c1ccnc(COc2ccccc2Cl)c1; [None]; [None]; [0]
-Cc1cncc(-c2ccc(O)cc2Cl)n1; [None]; [None]; [0]
-Fc1cccc(COc2ccccc2Cl)c1; ['Fc1cccc(CBr)c1', 'OCc1cccc(F)c1']; ['Oc1ccccc1Cl', 'Oc1ccccc1Cl']; [0.99995029, 0.99995029]
-Clc1ccccc1OCc1cncs1; ['OCc1cncs1']; ['Oc1ccccc1Cl']; [0.996515632]
-FC(F)(F)Oc1ccc(COc2ccccc2Cl)cc1; ['FC(F)(F)Oc1ccc(CBr)cc1']; ['Oc1ccccc1Cl']; [0.999984503]
-Clc1ccccc1OCc1cccc2sccc12; [None]; [None]; [0]
-Cc1cccc(COc2ccccc2Cl)n1; ['Cc1cccc(CBr)n1']; ['Oc1ccccc1Cl']; [0.99978143]
-Oc1ncc(-c2cccc(C(F)(F)F)c2)cc1Cl; ['OB(O)c1cccc(C(F)(F)F)c1']; ['Oc1ncc(Br)cc1Cl']; [0.999864101]
-Oc1ncc(-c2cc(C(F)(F)F)ccn2)cc1Cl; [None]; [None]; [0]
-Cc1cncc(COc2ccccc2Cl)n1; [None]; [None]; [0]
-Oc1ncc(-c2cccc3sccc23)cc1Cl; ['Brc1cccc2sccc12']; ['Oc1ncc(Br)cc1Cl']; [0.985162556]
-Oc1ncc(-c2cccc(F)c2)cc1Cl; ['OB(O)c1cccc(F)c1']; ['Oc1ncc(Br)cc1Cl']; [0.999215364]
-Oc1ncc(-c2ccc(OC(F)(F)F)cc2)cc1Cl; ['OB(O)c1ccc(OC(F)(F)F)cc1']; ['Oc1ncc(Br)cc1Cl']; [0.999994636]
-Cc1cncc(-c2cnc(O)c(Cl)c2)n1; [None]; [None]; [0]
-Oc1ncc(-c2cncs2)cc1Cl; [None]; [None]; [0]
-O=c1ccccn1Cc1nc2ccccc2[nH]1; ['ClCc1nc2ccccc2[nH]1']; ['O=c1cccc[nH]1']; [0.984006464]
-O=c1ccccn1Cc1cc(F)ccc1F; ['Fc1ccc(F)c(CCl)c1', 'COc1ccccn1']; ['Oc1ccccn1', 'Fc1ccc(F)c(CBr)c1']; [1.0, 1.0]
-O=c1ccccn1Cc1cccc(C(F)(F)F)c1; ['FC(F)(F)c1cccc(CCl)c1', 'FC(F)(F)c1cccc(CCl)c1']; ['Oc1ccccn1', 'O=c1cccc[nH]1']; [0.999999642, 0.999999642]
-Cc1cccc(-c2cnc(O)c(Cl)c2)n1; ['Cc1cccc(Cl)n1']; ['Oc1ncccc1Cl']; [0.761084378]
-O=c1ccccn1Cc1ccccc1Cl; ['Clc1ccccc1CBr', 'COc1ccccn1', 'ClCc1ccccc1Cl']; ['O=c1cccc[nH]1', 'Clc1ccccc1CBr', 'O=c1cccc[nH]1']; [0.999760211, 0.999760211, 0.999760211]
-O=c1ccccn1Cc1cc(C(F)(F)F)ccn1; [None]; [None]; [0]
-Cn1ccnc1Cn1ccccc1=O; [None]; [None]; [0]
-O=c1ccccn1Cc1cccc2c1OCCO2; [None]; [None]; [0]
-O=c1ccccn1CCn1ccccc1=O; [None]; [None]; [0]
-O=c1ccccn1Cc1cccs1; [None]; [None]; [0]
-C[S@](=O)c1ccc(Cn2ccccc2=O)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc(F)ccc2F)cc1; ['NC(=O)Nc1ccc(Br)cc1']; ['OB(O)c1cc(F)ccc1F']; [0.996339679]
-O=c1ccccn1Cc1ccoc1; [None]; [None]; [0]
-O=c1ccccn1Cc1ccon1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccccc2Cl)cc1; ['NC(=O)Nc1ccc(Br)cc1', 'NC(=O)Nc1ccc(Cl)cc1']; ['OB(O)c1ccccc1Cl', 'OB(O)c1ccccc1Cl']; [0.997968853, 0.997968853]
-NC(=O)Nc1ccc(-c2nc3ccccc3[nH]2)cc1; ['NC(N)=O']; ['Nc1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.999745309]
-NC(=O)Nc1ccc(-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
-Cn1ccnc1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccc3c2OCCO3)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccs2)cc1; ['NC(=O)Nc1ccc(Br)cc1']; ['OB(O)c1cccs1']; [0.999744713]
-C[S@](=O)c1ccc(-c2ccc(NC(N)=O)cc2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['NC(=O)Nc1ccc(Br)cc1']; [0.996399641]
-Cc1cc(O)ccc1-c1cc(C(F)(F)F)ccn1; ['Cc1cc(O)ccc1B(O)O']; ['FC(F)(F)c1ccnc(Cl)c1']; [0.997217059]
-NC(=O)Nc1ccc(-c2ccon2)cc1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cccc(F)c1; ['Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B(O)O']; ['OB(O)c1cccc(F)c1', 'OB(O)c1cccc(F)c1', 'Fc1cccc(Br)c1', 'Fc1cccc(Cl)c1']; [0.999732196, 0.999732196, 0.999732196, 0.999732196]
-NC(=O)Nc1ccc(-c2ccoc2)cc1; ['NC(=O)Nc1ccc(Br)cc1']; ['OB(O)c1ccoc1']; [0.999593318]
-Cc1cc(O)ccc1-c1ccc(OC(F)(F)F)cc1; ['Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B(O)O']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; [0.999991417, 0.999991417, 0.999991417, 0.999991417]
-Cc1cc(O)ccc1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['Cc1cc(O)ccc1B(O)O']; [0.99766314]
-Cc1cc(O)ccc1-c1cccc(C(F)(F)F)c1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B(O)O']; ['Cc1cc(O)ccc1Br', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.999997, 0.999997, 0.999997]
-Cc1cncc(-c2ccc(O)cc2C)n1; ['Cc1cc(O)ccc1B(O)O']; ['Cc1cncc(Cl)n1']; [0.993875802]
-Cc1cccc(-c2ccc(O)cc2C)n1; ['Cc1cc(O)ccc1B(O)O']; ['Cc1cccc(Br)n1']; [0.95224]
-Fc1cccc(-c2ccc3c(c2)CCN3)c1; ['Brc1ccc2c(c1)CCN2']; ['OB(O)c1cccc(F)c1']; [0.9996773]
-FC(F)(F)c1cccc(-c2ccc3c(c2)CCN3)c1; ['Brc1ccc2c(c1)CCN2']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999898672]
-Cc1cc(O)ccc1-c1cncs1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2ccc3c(c2)CCN3)cc1; ['Brc1ccc2c(c1)CCN2', 'Brc1ccc2c(c1)CCN2']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; [0.999999762, 0.999999762]
-CC(C)(C)Oc1ccc2c(c1)CCN2; [None]; [None]; [0]
-FC(F)(F)c1ccnc(-c2ccc3c(c2)CCN3)c1; [None]; [None]; [0]
-c1cc(-c2ccc3c(c2)CCN3)c2ccsc2c1; [None]; [None]; [0]
-Cc1cccc(-c2ccc3c(c2)CCN3)n1; [None]; [None]; [0]
-Cc1cncc(-c2ccc3c(c2)CCN3)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccccc2Cl)cc1; ['CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['OB(O)c1ccccc1Cl', 'Clc1ccccc1I', 'OB(O)c1ccccc1Cl', 'Clc1ccccc1Br']; [0.999928236, 0.999928236, 0.999928236, 0.999928236]
-CNC(=O)c1ccc(-c2cc(C(F)(F)F)ccn2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['FC(F)(F)c1ccnc(Cl)c1']; [0.999995]
-CNC(=O)c1ccc(-c2nccn2C)cc1; ['CNC(=O)c1ccc(Br)cc1']; ['Cn1ccnc1']; [0.938515484]
-c1ncc(-c2ccc3c(c2)CCN3)s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(F)ccc2F)cc1; ['CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1']; ['Fc1ccc(F)c(I)c1', 'OB(O)c1cc(F)ccc1F']; [0.99983418, 0.99983418]
-CNC(=O)c1ccc(-c2cccs2)cc1; ['CN']; ['O=C(O)c1ccc(-c2cccs2)cc1']; [0.999390244]
-CNC(=O)c1ccc(-c2cccc3c2OCCO3)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999989629, 0.999989629]
-CNC(=O)c1ccc(-c2ccoc2)cc1; ['Brc1ccoc1']; ['CNC(=O)c1ccc(B(O)O)cc1']; [0.999988198]
-CNC(=O)c1ccc(Cn2ccccc2=O)cc1; ['CNC(=O)c1ccc(CCl)cc1']; ['O=c1cccc[nH]1']; [0.984328747]
-CNC(=O)c1ccc(-c2ccc([S@](C)=O)cc2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccon2)cc1; [None]; [None]; [0]
-c1ccc(CNc2ccncn2)cc1; ['BrCc1ccccc1']; ['Nc1ccncn1']; [0.986388385]
-Oc1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['OB(O)c1ccc(O)cc1']; [0.99857378]
-CNC(=O)c1ccccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CCOc1ccccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccccc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc([C@@H]3C[C@H](O)C3)cc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cnc3[nH]cc(N)c3c2)[nH]1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccnc4ccccc34)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(C3CCOCC3)cc12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccnc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cc[nH]n3)cc12; [None]; [None]; [0]
-Cc1cccc(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccccc3F)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccccc3Cl)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccccc3Br)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccccc3OC(F)(F)F)cc12; [None]; [None]; [0]
-N#Cc1ccccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccccc3C(=O)[O-])cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnn(Cc4ccccc4)c3)cc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3c(F)cccc3F)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccncn3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnn(CCO)c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(NC(=O)c4ccccc4)c3)cc12; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cnc3[nH]cc(N)c3c2)cs1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(C3CCCCC3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc([C@@H]3CC[C@@H](CO)OC3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc4c(c3)CCC4)cc12; [None]; [None]; [0]
-COc1cnc(-c2cnc3[nH]cc(N)c3c2)nc1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3[nH]cc(N)c3c2)c(Br)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnco3)cc12; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnc4ccccn34)cc12; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnc3[nH]cc(N)c3c2)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2cnc3[nH]cc(N)c3c2)s1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
-Cc1ncc(-c2cnc3[nH]cc(N)c3c2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2cnc3[nH]cc(N)c3c2)n1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(Cl)c3Cl)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc4ccccc4c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(Cl)s3)cc12; [None]; [None]; [0]
-COc1cccc(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(CC(=O)[O-])c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cncc4ccccc34)cc12; [None]; [None]; [0]
-C[C@@H](c1cnc2[nH]cc(N)c2c1)[C@@H](C)O; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cnc4[nH]cc(N)c4c3)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc4[nH]cc(N)c4c3)ccc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cnc4[nH]cc(N)c4c3)cc2)cn1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(O)c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(CO)c3)cc12; [None]; [None]; [0]
-CCCn1cnc(-c2cnc3[nH]cc(N)c3c2)n1; [None]; [None]; [0]
-Cn1cncc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccs3)cc12; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]cc(N)c3c2)cn1; [None]; [None]; [0]
-Nc1c[nH]c2ncc([C@@H]3CCC[C@H]([NH3+])C3)cc12; [None]; [None]; [0]
-CSc1nc(-c2cnc3[nH]cc(N)c3c2)c[nH]1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccco3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3csc4ncncc34)cc12; [None]; [None]; [0]
-N#CCCc1cccc(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(CC[C@@H](O)CO)cc12; [None]; [None]; [0]
-CC(C)c1oncc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CC[C@H](CO)c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cnc4[nH]cc(N)c4c3)cc2s1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(F)cc3C(F)(F)F)cc12; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1Cl; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnn4ccccc34)cc12; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]cc(N)c3c2)c2ccccc21; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnoc3)cc12; [None]; [None]; [0]
-CCCn1cc(-c2cnc3[nH]cc(N)c3c2)cn1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccn([C@@H2]CO)c(=O)c3)cc12; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]cc(N)c3c2)no1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc4c3C(=O)CC4)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(Cl)c(C(=O)[O-])c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cc[nH]c(=O)c3)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3c[nH]c4cnccc34)cc12; [None]; [None]; [0]
-CC1(c2cnc3[nH]cc(N)c3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cc4c(=O)[nH]ccc4o3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnc4[nH]ccc4c3)cc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cnc3[nH]cc(N)c3c2)C1; [None]; [None]; [0]
-Nc1c[nH]c2ncc([C@@H]3CC[C@@H](NC(=O)O)C3)cc12; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](CO)c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3nc[nH]n3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccnc3O)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3nc4ccc(O)cc4[nH]3)cc12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cnc3[nH]cc(N)c3c2)[nH]1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(CC[NH+]3CCNCC3)cc12; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]cc(N)c3c2)c(OC)c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(C(=O)c4ccccc4)cc3)cc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Cn1cnnc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cn(Cc4ccccc4)nn3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
-CCc1cc(-c2cnc3[nH]cc(N)c3c2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cnc3[nH]cc(N)c3c2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2cnc3[nH]cc(N)c3c2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)s1; [None]; [None]; [0]
-Cc1cncc(-c2cnc3[nH]cc(N)c3c2)n1; [None]; [None]; [0]
-Nc1nnc(-c2cnc3[nH]cc(N)c3c2)s1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3nc4ccccc4s3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3csc(N4CCOCC4)n3)cc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc4ccsc34)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(CCCNC(=O)c3cccs3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(CCCC[NH3+])cc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cnc3[nH]cc(N)c3c2)[nH]1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]cc(N)c3c2)c(=O)n1C; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnccc3N3CCOCC3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3c[nH]c4cccnc34)cc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(N3CCC(c4nc5ccccc5[nH]4)CC3)cc12; [None]; [None]; [0]
-CN(C)c1cc(-c2cnc3[nH]cc(N)c3c2)cnn1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-COc1ncccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cnc4[nH]cc(N)c4c3)CC2)c1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Cn1nncc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]cc(N)c3c2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnc4[nH]cc(N)c4c3)c2c1; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Cc1cc(Nc2cnc3[nH]cc(N)c3c2)sn1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(NC(=O)C4CC4)c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3nc4ccccc4[nH]3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-n3ncc4ccccc4c3=O)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(C(=O)[O-])cc3)cc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnc3[nH]cc(N)c3c2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(C(=O)Nc4ccccc4)cc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Nc3ncccn3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(NC(=O)C3CC3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Cc3nccc4ccccc34)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(F)c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(Cl)cc3)cc12; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(OCCO)cc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(C(=O)N4CCOCC4)cn3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(C4CCNCC4)c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(C(=O)N4CCOCC4)cc3)cc12; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Nc3ccncn3)cc12; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]cc(N)c3c2)nn1C; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Cc3ccccc3)cc12; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(C(F)(F)F)cc3)cc12; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Cc3ccccc3O)cc12; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Cc3ccncc3)cc12; [None]; [None]; [0]
-Nc1ncc(Cc2cnc3[nH]cc(N)c3c2)cn1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Cc3cccnc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc([C@H]3CCN(C(=O)c4ccccc4)C3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Cc3cncnc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnc(Cl)nc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(C[C@H](O)CO)cc12; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cncnc3)cc12; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-n3ccnc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(Br)cc3)cc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1Cl; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cn[nH]c3)cc12; [None]; [None]; [0]
-COc1ccc(Cc2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc[nH]3)cc12; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]cc(N)c3c2)sn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnc3[nH]cc(N)c3c2)cc1Cl; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cc(N4CCOCC4)ccn3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc4c(c3)CCO4)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Cn3ccnc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cc4ccccc4cn3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cc(-c4ccccc4)[nH]n3)cc12; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cnc4[nH]cc(N)c4c3)CC2)c1; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]cc(N)c3c2)ccc1O; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc4c3OCO4)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3scc4c3OCCO4)cc12; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc([C@@H]3CC[C@@H]([NH3+])CC3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(F)c(F)c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccnc3Oc3ccccc3)cc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnc4ccccc4c3)cc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
-COCCOc1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CC1(COc2cnc3[nH]cc(N)c3c2)COC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnc4[nH]cc(N)c4c3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]cc(N)c3c2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc([C@@H]3CC[C@@H](O)CC3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc([C@H](CO)Cc3ccccc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(F)cc3Cl)cc12; [None]; [None]; [0]
-CCCCCc1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ncc(Br)cn3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc([C@H]3CC[C@@H](O)C3)cc12; [None]; [None]; [0]
-CC[NH+](CC)c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CCc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1OC; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(Cl)cc3Cl)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccsc3)cc12; [None]; [None]; [0]
-COc1ccc(CNc2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ncc4cccn4n3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(CCCn3cncn3)cc12; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]cc(N)c3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]cc(N)c3c2)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cc4ccccn4n3)cc12; [None]; [None]; [0]
-COc1ccc2cccc(-c3cnc4[nH]cc(N)c4c3)c2c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cnc4[nH]cc(N)c4c3)ccc2O1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(N4CCCCC4)cc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc4ccc(O)cc34)cc12; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]cc(N)c3c2)ccc1Cl; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ncc(Cl)cn3)cc12; [None]; [None]; [0]
-COc1cc(F)c(-c2cnc3[nH]cc(N)c3c2)cc1OC; [None]; [None]; [0]
-Cc1nc(Nc2cnc3[nH]cc(N)c3c2)sc1C; [None]; [None]; [0]
-Cc1ccc(-c2cnc3[nH]cc(N)c3c2)o1; [None]; [None]; [0]
-Cc1cc(Nc2cnc3[nH]cc(N)c3c2)nn1C; [None]; [None]; [0]
-Cc1csc2c(-c3cnc4[nH]cc(N)c4c3)ncnc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(-n4nccn4)c3)cc12; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]cc(N)c3c2)c(OC)cc1Br; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Cc3ccc(S(=O)(=O)CCO)cc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(NC(=O)c3ccco3)cc12; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cc(F)cc4c3OCOC4)cc12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc4cn[nH]c4c3)cc12; [None]; [None]; [0]
-COc1ccc2oc(-c3cnc4[nH]cc(N)c4c3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-CC(C)Oc1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CCn1cc(-c2cnc3[nH]cc(N)c3c2)cn1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cc(-c4cccnc4)ccn3)cc12; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cc4ccccc4o3)cc12; [None]; [None]; [0]
-Cc1nc(-c2cnc3[nH]cc(N)c3c2)c2sccc2n1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ncc4sccc4n3)cc12; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-COC(=O)Nc1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ncc4cc(Cl)ccc4n3)cc12; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(OC(F)(F)F)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(NC(=O)N4CCCC4)c3)cc12; [None]; [None]; [0]
-COc1ccc2nc(-c3cnc4[nH]cc(N)c4c3)[nH]c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(C(=O)[O-])c(Cl)c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cscn3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(OC(F)(F)F)cc3)cc12; [None]; [None]; [0]
-Cc1ccc(-c2cnc3[nH]cc(N)c3c2)nc1C; [None]; [None]; [0]
-CCc1cccc(-c2cnc3[nH]cc(N)c3c2)n1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cnc3[nH]cc(N)c3c2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnc4[nH]cc(N)c4c3)ccc12; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]cc(N)c3c2)cc(C)c1OCCO; [None]; [None]; [0]
-C[NH+](C)CCCc1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(N4CCCC4=O)c3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc(CCO)cc3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(C3CCC(F)(F)CC3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(C3CCS(=O)(=O)CC3)cc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)c(Cl)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(CC3CCOCC3)cc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Nc3ccccn3)cc12; [None]; [None]; [0]
-C[NH+](C)CCCOc1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Nc3ccc(F)cn3)cc12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Cc1cc(Nc2ncc3ccccc3n2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['Clc1ncc2ccccc2n1']; [0.998916149]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(NC(=O)C3CC3)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N3CCOCC3)cc2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['Nc1ccc(N2CCOCC2)cc1']; [0.877685964]
-COc1cccc(N2CCC(Nc3cc(C)n[nH]3)CC2)c1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(NS(C)(=O)=O)nc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccccc2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['OB(O)c1ccccc1']; [0.97943294]
-Cc1cc(Nc2ccc(C(=O)[O-])cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(=O)N3CCOCC3)cc2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.98773241]
-Cc1cc(Nc2ccc(S(=O)(=O)N(C)C)cc2)[nH]n1; ['CN(C)S(=O)(=O)c1ccc(F)cc1']; ['Cc1cc(N)[nH]n1']; [0.769396365]
-CC(=O)NCc1ccc(Nc2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(=O)N3CCOCC3)cn2)[nH]n1; [None]; [None]; [0]
-Cc1cc(NC2CCCCC2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['NC1CCCCC1']; [0.959727]
-Cc1cc(Nc2ccc(OC[C@@H](C)O)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(N[C@H]2CCN(C(=O)c3ccccc3)C2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N(C)C)c(Cl)c2)[nH]n1; ['CN(C)c1ccc(N)cc1Cl']; ['Cc1cc(Cl)[nH]n1']; [0.985600114]
-Cc1cc(NC2CCN(S(C)(=O)=O)CC2)[nH]n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(Nc2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(C(=O)[O-])c2C)[nH]n1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2cc(C)n[nH]2)cc1Cl; [None]; [None]; [0]
-Cc1cc(Nc2cc(-c3ccccc3)[nH]n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cc(N3CCOCC3)ccn2)[nH]n1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3cc(C)n[nH]3)CC2)c1; [None]; [None]; [0]
-Cc1cc(N[C@@H]2CC[C@@H]([NH3+])CC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cccnc2Oc2ccccc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(=O)N(C)C)cc2)[nH]n1; ['CN(C)C(=O)c1ccc(Br)cc1']; ['Cc1cc(N)[nH]n1']; [0.91058284]
-Cc1cc(Nc2ccc(C(C)(C)C)nc2)[nH]n1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2cc(C)n[nH]2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1cc(C)n[nH]1; [None]; [None]; [0]
-COc1cccc(C(=O)NNc2cc(C)n[nH]2)c1; [None]; [None]; [0]
-COCCNc1cc(C)n[nH]1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(Nc3cc(C)n[nH]3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(Nc2ncc3cccn3n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(NC2CCOCC2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['NC1CCOCC1']; [0.994087]
-Cc1cc(Nc2ccc3c(c2)CC(C)(C)O3)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cc3ccccn3n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ncc(Cl)cn2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['Clc1cnc(Cl)nc1']; [0.998140574]
-COc1cc(Nc2cc(C)n[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cc(Nc2ncnc3c(C)csc23)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N3CCCCC3)cc2)[nH]n1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2cc(C)n[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(-n3nccn3)c2)[nH]n1; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2cc(C)n[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(N[C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2cc(C)n[nH]2)c1; [None]; [None]; [0]
-COc1ccc2oc(Nc3cc(C)n[nH]3)cc2c1; [None]; [None]; [0]
-Cc1cc(Nc2cc(F)cc3c2OCOC3)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ncc3sccc3n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cc(-c3cccnc3)ccn2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C[NH+](C)C)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cn(C)nc2C(C)C)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2nc(C)nc3ccsc23)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(=O)N3CCC[C@@H]3C)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(NC(=O)N3CCCC3)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(=O)[O-])c(Cl)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ncc3cc(Cl)ccc3n2)[nH]n1; [None]; [None]; [0]
-COc1ccc2nc(Nc3cc(C)n[nH]3)[nH]c2c1; [None]; [None]; [0]
-Cc1cc(Nc2cn(C)c3ccccc23)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C)c(OCCO)c(C)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(N3CCC[C@@H]3C)n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N(C)C)nc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(NC2CCC(F)(F)CC2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['O=C1CCC(F)(F)CC1']; [0.998983204]
-Cc1cc(Nc2ccc3c(C)n[nH]c3c2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['Cc1n[nH]c2cc(Br)ccc12']; [0.980437636]
-Cc1cc(NC2CCS(=O)(=O)CC2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['O=C1CCS(=O)(=O)CC1']; [0.99911195]
-Cc1cc(Nc2ccc(C(=O)N(C)C)cc2Cl)[nH]n1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1Nc1cc(C)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N3CCOCC3)cc2C)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['Cc1cc(N2CCOCC2)ccc1N']; [0.832663357]
-CNC(=O)c1ccc(Nc2cc(C)n[nH]2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['Cc1cc(N)[nH]n1']; [0.982089162]
-CCNC(=O)c1ccc(Nc2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(N[C@H](C)CS(C)(=O)=O)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C(=O)NCCO)ccc2C)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2cc(C)n[nH]2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cnn4cccnc34)CC2)c1; [None]; [None]; [0]
-c1ccc2nc(-c3cnn4cccnc34)ncc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnn3cccnc23)c1)C1CC1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnn4cccnc34)c2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc(N4CCOCC4)cc3)cnn2c1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1']; [1.0, 1.0]
-O=c1c2ccccc2cnn1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['O=c1[nH]ncc2ccccc12']; [0.998361409]
-c1ccc(-c2cnn3cccnc23)cc1; ['COC(CC(OC)OC)OC']; ['Nc1[nH]ncc1-c1ccccc1']; [0.999668598]
-CS(=O)(=O)Nc1ccc(-c2cnn3cccnc23)cn1; [None]; [None]; [0]
-O=C(c1ccc(-c2cnn3cccnc23)cc1)N1CCOCC1; ['Brc1cnn2cccnc12']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.999999285]
-CC(=O)NCc1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cnn3cccnc23)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cnn2cccnc12; [None]; [None]; [0]
-c1ccc(Cc2cnn3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(C3CCCCC3)cnn2c1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cnn3cccnc23)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2cnn3cccnc23)cn1; [None]; [None]; [0]
-c1cnc2c(Cc3cncnc3)cnn2c1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['CCNS(=O)(=O)c1ccc(Br)cc1']; [0.999624848]
-O=C(c1ccccc1)N1CC[C@H](c2cnn3cccnc23)C1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cnn2cccnc12; [None]; [None]; [0]
-Cc1cc(-c2cnn3cccnc23)sn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnn3cccnc23)cc1Cl; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnn3cccnc23)cc1Cl; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cnn4cccnc34)n[nH]2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cnn4cccnc34)CC2)c1; [None]; [None]; [0]
-c1cnc2c(-c3cc(N4CCOCC4)ccn3)cnn2c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cnn3cccnc23)CC1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnn2cccnc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnn3cccnc23)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnn3cccnc23)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnn3cccnc23)c1; ['Brc1cnn2cccnc12']; ['COc1cccc(C(N)=O)c1']; [0.998853683]
-CCN1CCN(Cc2ccc(-c3cnn4cccnc34)cc2)CC1; [None]; [None]; [0]
-CCCCCc1cnn2cccnc12; [None]; [None]; [0]
-CC[NH+](CC)c1cnn2cccnc12; [None]; [None]; [0]
-c1cnc2c(C3CCOCC3)cnn2c1; [None]; [None]; [0]
-c1cc2cnc(-c3cnn4cccnc34)nn2c1; [None]; [None]; [0]
-COc1cc(-c2cnn3cccnc23)ccc1N1CCOCC1; [None]; [None]; [0]
-c1cnc2c(CCCn3cncn3)cnn2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc(N4CCCCC4)cc3)cnn2c1; ['Brc1cnn2cccnc12']; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C']; [1.0]
-CC1(C)Cc2cc(-c3cnn4cccnc34)ccc2O1; [None]; [None]; [0]
-Cc1csc2c(-c3cnn4cccnc34)ncnc12; [None]; [None]; [0]
-c1ccn2nc(-c3cnn4cccnc34)cc2c1; [None]; [None]; [0]
-c1cc(-c2cnn3cccnc23)cc(-n2nccn2)c1; [None]; [None]; [0]
-Clc1cnc(-c2cnn3cccnc23)nc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnn3cccnc23)cc1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cnn3cccnc23)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnn3cccnc23)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnn3cccnc23)c1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnn3cccnc23)CC1; [None]; [None]; [0]
-O=C(Nc1cnn2cccnc12)c1ccco1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnn3cccnc23)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cnn4cccnc34)cc2c1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cnn4cccnc34)c1)OCOC2; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnn3cccnc23)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-Cc1nc(-c2cnn3cccnc23)c2sccc2n1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cnn4cccnc34)c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnn2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3ncc4sccc4n3)cnn2c1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cnn4cccnc34)ncc2c1; [None]; [None]; [0]
-COc1ccc2nc(-c3cnn4cccnc34)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=C(O)c1cnn2cccnc12']; [0.999902606]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnn2cccnc12; [None]; [None]; [0]
-FC(F)(F)Oc1cnn2cccnc12; [None]; [None]; [0]
-Cn1cc(-c2cnn3cccnc23)c2ccccc21; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnn3cccnc23)c1)N1CCCC1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnn4cccnc34)ccc21; ['Brc1cnn2cccnc12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999999881]
-C[C@H]1CCCN1c1cccc(-c2cnn3cccnc23)n1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnn3cccnc23)cc1Cl; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnn3cccnc23)cn1; ['Brc1cnn2cccnc12']; ['CN(C)c1ccc(B(O)O)cn1']; [0.999985695]
-C[NH+](C)CCCc1cnn2cccnc12; [None]; [None]; [0]
-Cc1cc(-c2cnn3cccnc23)cc(C)c1OCCO; [None]; [None]; [0]
-FC1(F)CCC(c2cnn3cccnc23)CC1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnn4cccnc34)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
-c1cnc2c(CC3CCOCC3)cnn2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnn3cccnc23)c(OC)c1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cnn3cccnc23)CC1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cnn2cccnc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnn3cccnc23)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['CCNC(=O)c1ccc(B(O)O)cc1']; [0.999998093]
-Cc1cc(F)ccc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['Cc1cc(F)ccc1B(O)O']; [0.999993443]
-Cc1ccc(C(=O)NCCO)cc1-c1cnn2cccnc12; [None]; [None]; [0]
-Cn1c(-c2cnn3cccnc23)nc2ccccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnn3cccnc23)c(F)c1; [None]; [None]; [0]
-Cc1ccccc1-c1cnn2cccnc12; [None]; [None]; [0]
-Clc1ccc(CCc2cnn3cccnc23)cc1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1cnn2cccnc12; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnn3cccnc23)c[nH]1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cnn3cccnc13)OCO2; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnn2cccnc12; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnn4cccnc34)ccc12; [None]; [None]; [0]
-c1cnc2c(-c3nnco3)cnn2c1; [None]; [None]; [0]
-COCCCc1cnn2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3cnc4[nH]ccc4c3)cnn2c1; ['Brc1cnn2cccnc12']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; [0.999999762]
-CNc1nccc(-c2cnn3cccnc23)n1; [None]; [None]; [0]
-Cc1nnc(-c2cnn3cccnc23)o1; [None]; [None]; [0]
-Fc1cnc(-c2cnn3cccnc23)nc1; [None]; [None]; [0]
-Brc1ccc(-c2cnn3cccnc23)o1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnn2cccnc12; [None]; [None]; [0]
-[O-]c1cccc(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnn2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3nncs3)cnn2c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cnn4cccnc34)c2c1; [None]; [None]; [0]
-Nc1cc(-c2cnn3cccnc23)n[nH]1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnn3cccnc23)c1C; [None]; [None]; [0]
-Cc1cc(-c2cnn3cccnc23)ccc1C(N)=O; [None]; [None]; [0]
-c1ccc2c(CCc3cnn4cccnc34)c[nH]c2c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-c1ccc2c(COc3cnn4cccnc34)cccc2c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnn2cccnc12; [None]; [None]; [0]
-Fc1ccc(COc2cnn3cccnc23)c(F)c1; [None]; [None]; [0]
-Fc1ccc(CCc2cnn3cccnc23)c(F)c1; [None]; [None]; [0]
-CCOc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.981739104]
-COc1cccc(N2CCC(Nc3cc(C4CC4)[nH]n3)CC2)c1; ['COc1cccc(N2CCC(=O)CC2)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999783814]
-N#Cc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-c1ccc2nc(Nc3cc(C4CC4)[nH]n3)ncc2c1; [None]; [None]; [0]
-COc1ncccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-Cc1n[nH]cc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CC3)[nH]n2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC']; ['Nc1cc(C2CC2)[nH]n1']; [0.998017073]
-Cn1nncc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-Cc1nn(C)cc1Nc1cc(C2CC2)[nH]n1; ['Cc1nn(C)cc1Br']; ['Nc1cc(C2CC2)[nH]n1']; [0.998289526]
-Cn1cc(Nc2cc(C3CC3)[nH]n2)cn1; ['Cn1cc(Br)cn1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999992847]
-Oc1cccc(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-c1cnn2c(Nc3cc(C4CC4)[nH]n3)cnc2c1; [None]; [None]; [0]
-COc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['COc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.90674752]
-O=C(Nc1cccc(Nc2cc(C3CC3)[nH]n2)c1)C1CC1; [None]; [None]; [0]
-c1cc(N2CCOCC2)ccc1Nc1cc(C2CC2)[nH]n1; ['Brc1ccc(N2CCOCC2)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.99976784]
-c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['Brc1ccccc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.852456629]
-c1ccc2[nH]c(Nc3cc(C4CC4)[nH]n3)nc2c1; [None]; [None]; [0]
-NC(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['NC(=O)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.981472254]
-O=C([O-])c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(Nc2cc(C3CC3)[nH]n2)cn1; [None]; [None]; [0]
-c1cnc(NNc2cc(C3CC3)[nH]n2)nc1; [None]; [None]; [0]
-c1ccc2c(CNc3cc(C4CC4)[nH]n3)nccc2c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-Fc1cccc(Nc2cc(C3CC3)[nH]n2)c1; ['Fc1cccc(F)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.967395663]
-Clc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['Clc1ccc(Br)cc1', 'Fc1ccc(Cl)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.959492862, 0.959492862]
-OCCOc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-OCCCNc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-c1cc(Nc2cc(C3CC3)[nH]n2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-O=C(c1ccc(Nc2cc(C3CC3)[nH]n2)cc1)N1CCOCC1; ['Nc1cc(C2CC2)[nH]n1']; ['O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.999838233]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnn3cccnc23)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cnn4cccnc34)cc2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnn3cccnc23)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cnn4cccnc34)c1)OCOC2; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnn2cccnc12; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cnn4cccnc34)c2)c1; [None]; [None]; [0]
-c1cnc2c(-c3ncc4sccc4n3)cnn2c1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cnn4cccnc34)ncc2c1; [None]; [None]; [0]
-Cc1nc(-c2cnn3cccnc23)c2sccc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnn2cccnc12; [None]; [None]; [0]
-COc1ccc2nc(-c3cnn4cccnc34)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=C(O)c1cnn2cccnc12']; [0.999902606]
-FC(F)(F)Oc1cnn2cccnc12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnn3cccnc23)c1)N1CCCC1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnn3cccnc23)cc1Cl; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cnn3cccnc23)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnn3cccnc23)cn1; ['Brc1cnn2cccnc12']; ['CN(C)c1ccc(B(O)O)cn1']; [0.999985695]
-Cn1ncc2cc(-c3cnn4cccnc34)ccc21; ['Brc1cnn2cccnc12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999999881]
-Cn1cc(-c2cnn3cccnc23)c2ccccc21; [None]; [None]; [0]
-C[NH+](C)CCCc1cnn2cccnc12; [None]; [None]; [0]
-Cc1cc(-c2cnn3cccnc23)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnn4cccnc34)ccc12; [None]; [None]; [0]
-FC1(F)CCC(c2cnn3cccnc23)CC1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cnn3cccnc23)CC1; [None]; [None]; [0]
-c1cnc2c(CC3CCOCC3)cnn2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnn3cccnc23)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['CCNC(=O)c1ccc(B(O)O)cc1']; [0.999998093]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnn3cccnc23)c(OC)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
-C[NH+](C)CCCOc1cnn2cccnc12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['Cc1cc(F)ccc1B(O)O']; [0.999993443]
-Cc1ccc(C(=O)NCCO)cc1-c1cnn2cccnc12; [None]; [None]; [0]
-Cc1ccccc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['Cc1ccccc1B(O)O']; [0.999956131]
-NC(=O)c1ccc(-c2cnn3cccnc23)c(F)c1; [None]; [None]; [0]
-Cn1c(-c2cnn3cccnc23)nc2ccccc21; ['Brc1cnn2cccnc12']; ['Cn1cnc2ccccc21']; [0.99965167]
-Clc1[nH]ncc1-c1cnn2cccnc12; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-Clc1ccc(CCc2cnn3cccnc23)cc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnn2cccnc12; [None]; [None]; [0]
-COCCCc1cnn2cccnc12; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cnn3cccnc13)OCO2; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnn3cccnc23)c[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnn4cccnc34)ccc12; [None]; [None]; [0]
-Cc1nnc(-c2cnn3cccnc23)o1; [None]; [None]; [0]
-c1cnc2c(-c3nnco3)cnn2c1; [None]; [None]; [0]
-c1cnc2c(-c3cnc4[nH]ccc4c3)cnn2c1; ['Brc1cnn2cccnc12']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; [0.999999762]
-CNc1nccc(-c2cnn3cccnc23)n1; [None]; [None]; [0]
-Fc1cnc(-c2cnn3cccnc23)nc1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnn2cccnc12; [None]; [None]; [0]
-Brc1ccc(-c2cnn3cccnc23)o1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnn2cccnc12; ['Brc1cnn2cccnc12']; ['CNc1cccc(Cl)c1']; [0.90530163]
-Nc1cc(-c2cnn3cccnc23)n[nH]1; [None]; [None]; [0]
-c1cnc2c(-c3nncs3)cnn2c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cnn4cccnc34)c2c1; [None]; [None]; [0]
-[O-]c1cccc(-c2cnn3cccnc23)c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [1.0, 1.0]
-Cc1n[nH]c(-c2cnn3cccnc23)c1C; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.999811828]
-Cc1cc(-c2cnn3cccnc23)ccc1C(N)=O; [None]; [None]; [0]
-c1ccc2c(COc3cnn4cccnc34)cccc2c1; [None]; [None]; [0]
-c1ccc2c(CCc3cnn4cccnc34)c[nH]c2c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnn2cccnc12; [None]; [None]; [0]
-Fc1ccc(COc2cnn3cccnc23)c(F)c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2cnn3cccnc23)cc1; [None]; [None]; [0]
-N#Cc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['N#Cc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.995173633]
-Fc1ccc(CCc2cnn3cccnc23)c(F)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.981739104]
-CCOc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CCOc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.994462311]
-c1ccc2nc(Nc3cc(C4CC4)[nH]n3)ncc2c1; ['Clc1ncc2ccccc2n1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999998093]
-COc1cccc(N2CCC(Nc3cc(C4CC4)[nH]n3)CC2)c1; ['COc1cccc(N2CCC(=O)CC2)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999783814]
-Cc1n[nH]cc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-Cn1nncc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(Nc2cc(C3CC3)[nH]n2)c1; ['CS(=O)(=O)c1cccc(Br)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.99998343]
-COc1ncccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-Cn1cc(Nc2cc(C3CC3)[nH]n2)cn1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CC3)[nH]n2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC']; ['Nc1cc(C2CC2)[nH]n1']; [0.998017073]
-Cc1nn(C)cc1Nc1cc(C2CC2)[nH]n1; ['Cc1nn(C)cc1Br']; ['Nc1cc(C2CC2)[nH]n1']; [0.998289526]
-Oc1cccc(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-c1cnn2c(Nc3cc(C4CC4)[nH]n3)cnc2c1; [None]; [None]; [0]
-COc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['COc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.90674752]
-c1cc(N2CCOCC2)ccc1Nc1cc(C2CC2)[nH]n1; ['Brc1ccc(N2CCOCC2)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.99976784]
-c1ccc2[nH]c(Nc3cc(C4CC4)[nH]n3)nc2c1; [None]; [None]; [0]
-c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['Brc1ccccc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.852456629]
-O=C(Nc1cccc(Nc2cc(C3CC3)[nH]n2)c1)C1CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(Nc2cc(C3CC3)[nH]n2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['NC(=O)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.981472254]
-O=C([O-])c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-Clc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['Clc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.959492862]
-Fc1cccc(Nc2cc(C3CC3)[nH]n2)c1; ['Fc1cccc(F)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.967395663]
-c1cnc(NNc2cc(C3CC3)[nH]n2)nc1; [None]; [None]; [0]
-c1ccc2c(CNc3cc(C4CC4)[nH]n3)nccc2c1; [None]; [None]; [0]
-OCCOc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-OCCCNc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-c1cc(Nc2cc(C3CC3)[nH]n2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-O=C(c1ccc(Nc2cc(C3CC3)[nH]n2)nc1)N1CCOCC1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C3CC3)[nH]n2)nn1C; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['Fc1ccc(C(F)(F)F)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.780208468]
-CN(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CN(C)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.996868551]
-CNS(=O)(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.901045561]
-CN(C)S(=O)(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-c1c(NC2CCCCC2)n[nH]c1C1CC1; ['Nc1cc(C2CC2)[nH]n1']; ['O=C1CCCCC1']; [0.975703716]
-Cc1nc(C)c(Nc2cc(C3CC3)[nH]n2)s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](Nc2cc(C3CC3)[nH]n2)C1; [None]; [None]; [0]
-Clc1ncc(Nc2cc(C3CC3)[nH]n2)cn1; [None]; [None]; [0]
-c1ncc(Nc2cc(C3CC3)[nH]n2)cn1; ['Brc1cncnc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999474108]
-Cc1c(Nc2cc(C3CC3)[nH]n2)cccc1C(=O)[O-]; [None]; [None]; [0]
-Brc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['Brc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.97659111]
-CCNS(=O)(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1Nc1cc(C2CC2)[nH]n1; ['COc1ccc(Cl)cc1Br']; ['Nc1cc(C2CC2)[nH]n1']; [0.999659061]
-c1n[nH]cc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1Cl; [None]; [None]; [0]
-c1c[nH]c(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(Nc2cc(C3CC3)[nH]n2)n1; [None]; [None]; [0]
-c1ccc2c(Nc3cc(C4CC4)[nH]n3)c[nH]c2c1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2cc(C3CC3)[nH]n2)cc1Cl; [None]; [None]; [0]
-c1cc2c(cc1Nc1cc(C3CC3)[nH]n1)CCO2; ['Brc1ccc2c(c1)CCO2']; ['Nc1cc(C2CC2)[nH]n1']; [0.99996233]
-Cc1cc(Nc2cc(C3CC3)[nH]n2)sn1; [None]; [None]; [0]
-c1ccc(-c2cc(Nc3cc(C4CC4)[nH]n3)n[nH]2)cc1; [None]; [None]; [0]
-c1ccc2cc(Nc3cc(C4CC4)[nH]n3)ncc2c1; ['Clc1cc2ccccc2cn1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999074101]
-CC(=O)Nc1cccc(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3cc(C4CC4)[nH]n3)CC2)c1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CC3)[nH]n2)ccc1O; [None]; [None]; [0]
-c1cc(Nc2cc(C3CC3)[nH]n2)c2c(c1)OCO2; [None]; [None]; [0]
-c1c(Nc2scc3c2OCCO3)n[nH]c1C1CC1; [None]; [None]; [0]
-Fc1ccc(Nc2cc(C3CC3)[nH]n2)cc1F; ['Fc1ccc(Br)cc1F']; ['Nc1cc(C2CC2)[nH]n1']; [0.999898791]
-[NH3+][C@@H]1CC[C@@H](Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CC(C)(C)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.993028581]
-CN(C)C(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.994693458]
-c1ccc2ncc(Nc3cc(C4CC4)[nH]n3)cc2c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-COCCNc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-COc1cccc(C(=O)NNc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C3CC3)[nH]n2)nc(N)n1; [None]; [None]; [0]
-c1coc(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(Nc3cc(C4CC4)[nH]n3)cc2)CC1; [None]; [None]; [0]
-CSc1cccc(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-CC[C@@H](CO)Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
-c1c(NC2CCOCC2)n[nH]c1C1CC1; ['Nc1cc(C2CC2)[nH]n1']; ['O=C1CCOCC1']; [0.999658585]
-Brc1cnc(Nc2cc(C3CC3)[nH]n2)nc1; ['Clc1ncc(Br)cn1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999993086]
-Fc1ccc(Nc2cc(C3CC3)[nH]n2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999987721]
-Clc1ccc(Nc2cc(C3CC3)[nH]n2)c(Cl)c1; ['Clc1ccc(Br)c(Cl)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999971867]
-COc1ccc(Nc2cc(C3CC3)[nH]n2)cc1OC; ['COc1ccc(Br)cc1OC']; ['Nc1cc(C2CC2)[nH]n1']; [0.998227775]
-O[C@@H]1CC[C@H](Nc2cc(C3CC3)[nH]n2)C1; [None]; [None]; [0]
-c1cc(Nc2cc(C3CC3)[nH]n2)cs1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CC3)[nH]n2)ccc1N1CCOCC1; [None]; [None]; [0]
-CCc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CCc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.990675807]
-Cc1cc(C)cc(Nc2cc(C3CC3)[nH]n2)c1; ['Cc1cc(C)cc(Br)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999607623]
-c1cc2cnc(Nc3cc(C4CC4)[nH]n3)nn2c1; [None]; [None]; [0]
-c1ccn2nc(Nc3cc(C4CC4)[nH]n3)cc2c1; [None]; [None]; [0]
-Cn1cc(Nc2cc(C3CC3)[nH]n2)c(C(F)(F)F)n1; ['Cn1cc(Br)c(C(F)(F)F)n1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999996305]
-CC1(C)Cc2cc(Nc3cc(C4CC4)[nH]n3)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(Nc3cc(C4CC4)[nH]n3)c2c1; [None]; [None]; [0]
-c1cc(N2CCCCC2)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-COc1cc(F)c(Nc2cc(C3CC3)[nH]n2)cc1OC; ['COc1cc(F)c(F)cc1OC']; ['Nc1cc(C2CC2)[nH]n1']; [0.999975681]
-Oc1ccc2cccc(Nc3cc(C4CC4)[nH]n3)c2c1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CC3)[nH]n2)ccc1Cl; [None]; [None]; [0]
-Cc1csc2c(Nc3cc(C4CC4)[nH]n3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1cc(C2CC2)[nH]n1']; [0.999976516]
-COc1cc(Nc2cc(C3CC3)[nH]n2)c(OC)cc1Br; [None]; [None]; [0]
-c1cc(Nc2cc(C3CC3)[nH]n2)cc(-n2nccn2)c1; [None]; [None]; [0]
-Clc1cnc(Nc2cc(C3CC3)[nH]n2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(C3CC3)[nH]n2)o1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(Nc3cc(C4CC4)[nH]n3)c1)OCOC2; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
-c1cc2cn[nH]c2cc1Nc1cc(C2CC2)[nH]n1; ['Brc1ccc2cn[nH]c2c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999776304]
-COc1cc(Nc2cc(C3CC3)[nH]n2)cc(OC)c1; [None]; [None]; [0]
-COc1ccc2oc(Nc3cc(C4CC4)[nH]n3)cc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(Nc3cc(C4CC4)[nH]n3)c2)c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-c1ccc2oc(Nc3cc(C4CC4)[nH]n3)cc2c1; [None]; [None]; [0]
-Cc1nc(Nc2cc(C3CC3)[nH]n2)c2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-Clc1ccc2nc(Nc3cc(C4CC4)[nH]n3)ncc2c1; [None]; [None]; [0]
-c1cc2nc(Nc3cc(C4CC4)[nH]n3)ncc2s1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2cc(C3CC3)[nH]n2)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(Nc3cc(C4CC4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-c1nc(Nc2cc(C3CC3)[nH]n2)cs1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2cc(C3CC3)[nH]n2)cc1Cl; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['FC(F)(F)Oc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999325871]
-C[C@H]1CCCN1c1cccc(Nc2cc(C3CC3)[nH]n2)n1; [None]; [None]; [0]
-Cn1cc(Nc2cc(C3CC3)[nH]n2)c2ccccc21; [None]; [None]; [0]
-CCc1cccc(Nc2cc(C3CC3)[nH]n2)n1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C3CC3)[nH]n2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cn1; ['CN(C)c1ccc(Br)cn1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999970675]
-Cc1ccc(Nc2cc(C3CC3)[nH]n2)nc1C; [None]; [None]; [0]
-FC1(F)CCC(Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-Cc1n[nH]c2cc(Nc3cc(C4CC4)[nH]n3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['Nc1cc(C2CC2)[nH]n1']; [0.999926209]
-OCCc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-O=S1(=O)CCC(Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)c(Cl)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(Nc2cc(C3CC3)[nH]n2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.99994874]
-CCNC(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)c(OC)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccccc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1ccccc1']; [0.891446412]
-CCOc1ccccc1-c1ncnc2[nH]cc(C)c12; ['CCOc1ccccc1B(O)O']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.997609377]
-Cc1nnc(-c2ccccc2-c2ncnc3[nH]cc(C)c23)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccccc3S(=O)(=O)C(C)C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(Cc3cc(F)cc(F)c3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc([C@@H]3C[C@H](O)C3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccccc3P(C)(C)=O)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(C3CCOCC3)c12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cc[nH]n3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cccnc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1cccnc1']; [0.987775922]
-Cc1cccc(-c2ncnc3[nH]cc(C)c23)c1; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1cccc(B(O)O)c1']; [0.996913433]
-Cc1c[nH]c2ncnc(-c3ccnc4ccccc34)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccccc3Cl)c12; ['CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccccc1Cl']; [0.999939919, 0.999939919]
-Cc1c[nH]c2ncnc(-c3cccc(C(F)(F)F)c3)c12; ['Cc1c[nH]c2ncnc(Cl)c12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['OB(O)c1cccc(C(F)(F)F)c1', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.999424696, 0.999424696]
-Cc1c[nH]c2ncnc(-c3ccccc3Br)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccccc3OC(F)(F)F)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.998436272]
-Cc1c[nH]c2ncnc(-c3ccccc3F)c12; ['CC1(C)OB(c2ccccc2F)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccccc1F']; [0.999526381, 0.999526381]
-Cc1c[nH]c2ncnc(-c3ccccc3C(=O)[O-])c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccccc3C#N)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['N#Cc1ccccc1B(O)O']; [0.992752075]
-Cc1c[nH]c2ncnc(-c3cnn(Cc4ccccc4)c3)c12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.999985695]
-Cc1c[nH]c2ncnc(-c3c(F)cccc3F)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1c(F)cccc1F']; [0.994751155]
-Cc1c[nH]c2ncnc(-c3ccccc3C(N)=O)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccncn3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc([C@@H](N)c3ccco3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cnc(-c4ccccc4)[nH]3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3csc(C(C)(C)C)n3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cccc(NC(=O)c4ccccc4)c3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cnn(CCO)c3)c12; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.999204338]
-Cc1c[nH]c2ncnc([C@@H]3CC[C@@H](CO)OC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc4c(c3)CCC4)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(C3CCCCC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(OCC(=O)C(C)C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(CC3CCCCC3)c12; [None]; [None]; [0]
-COc1cnc(-c2ncnc3[nH]cc(C)c23)nc1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cnco3)c12; [None]; [None]; [0]
-Cc1ccc(-c2ncnc3[nH]cc(C)c23)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-Cc1nc(C)c(-c2ncnc3[nH]cc(C)c23)s1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cnc4ccccn34)c12; [None]; [None]; [0]
-CNc1nc(C)c(-c2ncnc3[nH]cc(C)c23)s1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cnc4cccnn34)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3c(Cl)cccc3Cl)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.947496474]
-Cc1nc(N)sc1-c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(OC3CCCCC3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OC1CCCCC1']; [0.998692691]
-Cc1c[nH]c2ncnc(NC(C)(C)C)c12; ['CC(C)(C)N']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.999920845]
-Cc1c[nH]c2ncnc(NCc3cccnc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['NCc1cccnc1']; [0.999916077]
-Cc1ccc(Cl)c(-c2ncnc3[nH]cc(C)c23)c1; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.978963733]
-Cc1c[nH]c2ncnc(-c3cccc(Cn4cncn4)c3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cccc(Cl)c3Cl)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1cccc(Cl)c1Cl']; [0.999162078]
-Cc1ncc(-c2ncnc3[nH]cc(C)c23)[nH]1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccnc(N)n3)c12; [None]; [None]; [0]
-COc1cccc(-c2ncnc3[nH]cc(C)c23)c1; [None]; [None]; [0]
-CCC(C)(C)c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(Nc3cccnc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Nc1cccnc1']; [0.999762475]
-Cc1c[nH]c2ncnc(-c3ccc4ccccc4c3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(NCCc3c[nH]cn3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['NCCc1c[nH]cn1']; [0.996835649]
-Cc1c[nH]c2ncnc(N[C@H](C)CO)c12; ['C[C@@H](N)CO']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.998650491]
-Cc1c[nH]c2ncnc(OCC(C)C)c12; ['CC(C)CO']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.997332096]
-Cc1c[nH]c2ncnc(-c3ccc(Cl)s3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(NC(=O)c3cccs3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(O[C@H](C)[C@@H](C)O)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-n3cnc4ccccc43)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cncc4ccccc34)c12; [None]; [None]; [0]
-CCCCc1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc(-c4cnn(C)c4)cc3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc4c(N)[nH]nc4c3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cccc(CC(=O)[O-])c3)c12; [None]; [None]; [0]
-CCCn1cnc(-c2ncnc3[nH]cc(C)c23)n1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(O[C@@H](C)C[NH+](C)C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(NCCc3ccccc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['NCCc1ccccc1']; [0.999634624]
-Cc1c[nH]c2ncnc(-c3cccc(O)c3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1cccc(O)c1']; [0.995255113]
-Cc1c[nH]c2ncnc(-c3cccc(CO)c3)c12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.982570946]
-Cc1c[nH]c2ncnc(-c3ccc4c(cnn4C)c3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999685526]
-Cc1c[nH]c2ncnc(-c3cncn3C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(Nc3ccncc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Nc1ccncc1']; [0.999967217]
-Cc1c[nH]c2ncnc(CCC[NH3+])c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccco3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1ccco1']; [0.98252815]
-Cc1c[nH]c2ncnc(-c3cnn(C)c3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999799192]
-Cc1c[nH]c2ncnc([C@@H]3CCC[C@H]([NH3+])C3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(NC(C)C)c12; ['CC(C)N']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.996154487]
-Cc1c[nH]c2ncnc(-c3cnoc3C(C)C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cccs3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cccc(CCC#N)c3)c12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ncnc4[nH]cc(C)c34)cc2s1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc(F)cc3C(F)(F)F)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999575436]
-CSc1nc(-c2ncnc3[nH]cc(C)c23)c[nH]1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3csc4ncncc34)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(OC(F)(F)F)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(N3CCC(S(C)(=O)=O)CC3)c12; ['CS(=O)(=O)C1CCNCC1']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.998960614]
-Cc1c[nH]c2ncnc(-c3cn(C)c4ccccc34)c12; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncnc3[nH]cc(C)c23)cc1; [None]; [None]; [0]
-COc1ccc(-c2ncnc3[nH]cc(C)c23)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.992546499]
-CCC(=O)Nc1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ncnc3[nH]cc(C)c23)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.994053423]
-Cc1c[nH]c2ncnc(-c3cnoc3)c12; [None]; [None]; [0]
-Cc1cc(-c2ncnc3[nH]cc(C)c23)no1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc([C@@H](C)C(F)(F)F)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cnn4ccccc34)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cc[nH]c(=O)c3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccn([C@@H2]CO)c(=O)c3)c12; [None]; [None]; [0]
-CCCn1cc(-c2ncnc3[nH]cc(C)c23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.999927163]
-COc1cc(CCc2ncnc3[nH]cc(C)c23)cc(OC)c1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(NC(=O)NC(C)(C)C)c12; ['CC(C)(C)NC(N)=O']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.929127872]
-Cc1c[nH]c2ncnc(-c3cccc4c3C(=O)CC4)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc(Cl)c(C(=O)[O-])c3)c12; [None]; [None]; [0]
-CCOC(=O)Cc1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-CCN(CC)c1ncnc2[nH]cc(C)c12; ['CCNCC']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.92607522]
-Cc1c[nH]c2ncnc(-c3ccc(C(C)(C)N)cc3)c12; [None]; [None]; [0]
-COc1ccncc1Nc1ncnc2[nH]cc(C)c12; ['COc1ccncc1N']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.999843717]
-Cc1c[nH]c2ncnc(-c3cc4c(=O)[nH]ccc4o3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(Nc3cnc4ccccc4c3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Nc1cnc2ccccc2c1']; [0.997666597]
-Cc1c[nH]c2ncnc(-c3ccc([S@](C)=O)cc3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc([C@H](CO)Cc3ccccc3)c12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3c[nH]c4ccccc34)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(C3(C)CCN(S(C)(=O)=O)CC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3c[nH]c4cnccc34)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc([C@@H]3CC[C@@H](NC(=O)O)C3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cnc4[nH]ccc4c3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc([C@@H]3CC[C@@H](C#N)CC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc([C@@H]3CC[C@@H](CC#N)CC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc([C@@H]3CCCN(C(=O)CC#N)C3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc([C@H]3COCC[C@@H]3C#N)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc(S(C)(=O)=O)cc3)c12; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.99571085]
-Cc1c[nH]c2ncnc([C@@H]3CC[C@@H](CCC#N)CC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc(N4CCOCC4)cc3)c12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999928594, 0.999928594]
-CNS(=O)(=O)c1ccc(-c2ncnc3[nH]cc(C)c23)cc1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-n3cnc(CCO)c3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-n3ccc(CO)n3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(N[C@H](C)C(C)(C)O)c12; [None]; [None]; [0]
-Cc1cc(-c2ncnc3[nH]cc(C)c23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(N[C@@H](C)C(C)(C)C)c12; ['C[C@H](N)C(C)(C)C']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.981817424]
-Cc1c[nH]c2ncnc(N[C@@H](C)C(C)(C)O)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-n3ncc4c(O)cccc43)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cccc(F)c3C(N)=O)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-n3ncc4ccccc43)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc(-n4cncn4)cc3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3nc[nH]n3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cccnc3O)c12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3nc4ccc(O)cc4[nH]3)c12; [None]; [None]; [0]
-CSc1nc(C)c(-c2ncnc3[nH]cc(C)c23)[nH]1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(Cc3ccncc3)c12; [None]; [None]; [0]
-COc1ccc(-c2ncnc3[nH]cc(C)c23)c(OC)c1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(NCC(C)(C)[NH3+])c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3nncn3C(C)C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc(C(=O)c4ccccc4)cc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.969039619]
-Cc1c[nH]c2ncnc(-c3nncn3[C@H](C)CO)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(CCC(=O)NCc3ccccn3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3nncn3C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(OC3CCOCC3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OC1CCOCC1']; [0.999788225]
-Cc1c[nH]c2ncnc(-c3nncn3C3CC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(N[C@H](C)C(C)(C)C)c12; ['C[C@@H](N)C(C)(C)C']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.981817424]
-Cc1c[nH]c2ncnc(-c3cn(Cc4ccccc4)nn3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-n3ccnc3)c12; [None]; [None]; [0]
-CCc1cc(-c2ncnc3[nH]cc(C)c23)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ncnc3[nH]cc(C)c23)nc(N)n1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3nnc(N)s3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cnc(N)s3)c12; [None]; [None]; [0]
-Cc1cncc(-c2ncnc3[nH]cc(C)c23)n1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3csc(N4CCOCC4)n3)c12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncnc3[nH]cc(C)c23)s1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3nc4ccccc4s3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc([C@H]3CCCN3C(N)=O)c12; [None]; [None]; [0]
-COc1cccc(F)c1-c1ncnc2[nH]cc(C)c12; ['COc1cccc(F)c1B(O)O']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.989033461]
-CC(=O)Nc1ncc(-c2ncnc3[nH]cc(C)c23)[nH]1; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(CC3CCOCC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cccc4ccsc34)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ncc4ccccc4n3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3nc(N)c4ccccc4n3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cn(C)n(C)c3=O)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cnccc3N3CCOCC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3c[nH]c4cccnc34)c12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ncc4cc[nH]c4n3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(Cc3ccccc3NS(C)(=O)=O)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(O[C@@H]3CC[C@H](O)CC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(Cc3cccnc3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(OC(C)(C)C)c12; ['CC(C)(C)O']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.963610709]
-COc1ccc(OC)c(-c2ncnc3[nH]cc(C)c23)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.989940345]
-Cc1c[nH]c2ncnc([C@H]3CC[C@@](C)(O)CC3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(NCC(C)(C)C)c12; ['CC(C)(C)CN']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.999590456]
-Cc1c[nH]c2ncnc(N3CCC(c4nc5ccccc5[nH]4)CC3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999737203]
-Cc1cc(C)cc(-c2ncnc3[nH]cc(C)c23)c1; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1cc(C)cc(B(O)O)c1']; [0.979410529]
-Cc1c[nH]c2ncnc(-c3cnnc(N(C)C)c3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(N3CC=C(c4c[nH]c5ccccc45)CC3)c12; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.999975204]
-c1ccc(-c2ncnc3[nH]ccc23)cc1; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1ccccc1']; [0.993439138]
-CNC(=O)c1ccccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-COC(C)(C)CCc1ncnc2[nH]ccc12; [None]; [None]; [0]
-CCOc1ccccc1-c1ncnc2[nH]ccc12; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['Clc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.999774396, 0.999774396]
-O[C@H]1C[C@@H](c2ncnc3[nH]ccc23)C1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ncnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ncnc2[nH]ccc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
-c1nc(C2CCOCC2)c2cc[nH]c2n1; [None]; [None]; [0]
-c1ccc2c(-c3ncnc4[nH]ccc34)ccnc2c1; [None]; [None]; [0]
-c1nc(-c2cc[nH]n2)c2cc[nH]c2n1; [None]; [None]; [0]
-c1cncc(-c2ncnc3[nH]ccc23)c1; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1cccnc1']; [0.997664452]
-Cc1cccc(-c2ncnc3[nH]ccc23)c1; ['Cc1cccc(B(O)O)c1']; ['Clc1ncnc2[nH]ccc12']; [0.996054769]
-FC(F)(F)c1cccc(-c2ncnc3[nH]ccc23)c1; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999929309]
-Clc1ccccc1-c1ncnc2[nH]ccc12; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1ccccc1Cl']; [0.980426431]
-Brc1ccccc1-c1ncnc2[nH]ccc12; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1ccccc1Br']; [0.993202269]
-FC(F)(F)Oc1ccccc1-c1ncnc2[nH]ccc12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Clc1ncnc2[nH]ccc12']; ['Clc1ncnc2[nH]ccc12', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999881625, 0.999881625]
-Fc1ccccc1-c1ncnc2[nH]ccc12; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1ccccc1F']; [0.945447505]
-c1ccc(Cn2cc(-c3ncnc4[nH]ccc34)cn2)cc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Clc1ncnc2[nH]ccc12']; [0.999969959]
-N#Cc1ccccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-c1cc(-c2ncnc3[nH]ccc23)ncn1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ncnc2[nH]ccc12; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1c(F)cccc1F']; [0.980208218]
-c1ccc(-c2ncc(-c3ncnc4[nH]ccc34)[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ncnc3[nH]ccc23)cs1; [None]; [None]; [0]
-OCCn1cc(-c2ncnc3[nH]ccc23)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Clc1ncnc2[nH]ccc12']; [0.997569263]
-N[C@@H](c1ccco1)c1ncnc2[nH]ccc12; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ncnc3[nH]ccc23)CO1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncnc3[nH]ccc23)c1)c1ccccc1; [None]; [None]; [0]
-c1nc(C2CCCCC2)c2cc[nH]c2n1; [None]; [None]; [0]
-c1nc(-c2ccc3c(c2)CCC3)c2cc[nH]c2n1; [None]; [None]; [0]
-c1nc(CC2CCCCC2)c2cc[nH]c2n1; [None]; [None]; [0]
-CC(C)C(=O)COc1ncnc2[nH]ccc12; ['CC(C)C(=O)CBr']; ['Oc1ncnc2[nH]ccc12']; [0.91887176]
-c1nc(-c2cnco2)c2cc[nH]c2n1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-COc1cnc(-c2ncnc3[nH]ccc23)nc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ncnc3[nH]ccc23)s1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ncnc3[nH]ccc23)s1; [None]; [None]; [0]
-Cc1ccc(-c2ncnc3[nH]ccc23)c(Br)c1; [None]; [None]; [0]
-c1cnn2c(-c3ncnc4[nH]ccc34)cnc2c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ncnc2[nH]ccc12; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.924070537]
-c1ccn2c(-c3ncnc4[nH]ccc34)cnc2c1; [None]; [None]; [0]
-c1nc(OC2CCCCC2)c2cc[nH]c2n1; ['Clc1ncnc2[nH]ccc12']; ['OC1CCCCC1']; [0.963482678]
-c1cc(Cn2cncn2)cc(-c2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
-Clc1cccc(-c2ncnc3[nH]ccc23)c1Cl; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1cccc(Cl)c1Cl']; [0.982205689]
-c1cncc(CNc2ncnc3[nH]ccc23)c1; ['Clc1ncnc2[nH]ccc12']; ['NCc1cccnc1']; [0.999995947]
-Cc1nc(N)sc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-CC(C)(C)Nc1ncnc2[nH]ccc12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ncnc3[nH]ccc23)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1ncnc2[nH]ccc12']; [0.917900145]
-Nc1nccc(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
-c1ccc2cc(-c3ncnc4[nH]ccc34)ccc2c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Clc1ncnc2[nH]ccc12']; ['Clc1ncnc2[nH]ccc12', 'OB(O)c1ccc2ccccc2c1']; [0.999864101, 0.999864101]
-CCC(C)(C)c1ncnc2[nH]ccc12; [None]; [None]; [0]
-Clc1ccc(-c2ncnc3[nH]ccc23)s1; [None]; [None]; [0]
-Cc1ncc(-c2ncnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
-C[C@H](CO)Nc1ncnc2[nH]ccc12; ['C[C@@H](N)CO']; ['Clc1ncnc2[nH]ccc12']; [0.999634147]
-COc1cccc(-c2ncnc3[nH]ccc23)c1; ['COc1cccc(B(O)O)c1']; ['Clc1ncnc2[nH]ccc12']; [0.99944061]
-CC(C)COc1ncnc2[nH]ccc12; ['CC(C)CO']; ['Clc1ncnc2[nH]ccc12']; [0.943544388]
-c1cncc(Nc2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
-c1nc(NCCc2c[nH]cn2)c2cc[nH]c2n1; ['Clc1ncnc2[nH]ccc12']; ['NCCc1c[nH]cn1']; [0.999809682]
-c1ccc2c(c1)ncn2-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-O=C(Nc1ncnc2[nH]ccc12)c1cccs1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ncnc2[nH]ccc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ncnc2[nH]ccc12; [None]; [None]; [0]
-c1ccc2c(-c3ncnc4[nH]ccc34)cncc2c1; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1cncc2ccccc12']; [0.987866759]
-CCCCc1ncnc2[nH]ccc12; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ncnc4[nH]ccc34)cc2)cn1; [None]; [None]; [0]
-c1ccc(CCNc2ncnc3[nH]ccc23)cc1; ['Clc1ncnc2[nH]ccc12']; ['NCCc1ccccc1']; [0.999961734]
-Nc1[nH]nc2cc(-c3ncnc4[nH]ccc34)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-c3ncnc4[nH]ccc34)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
-[NH3+]CCCc1ncnc2[nH]ccc12; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ncnc2[nH]ccc12; [None]; [None]; [0]
-Oc1cccc(-c2ncnc3[nH]ccc23)c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['Clc1ncnc2[nH]ccc12']; [0.88628304]
-OCc1cccc(-c2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
-c1cc(Nc2ncnc3[nH]ccc23)ccn1; ['Clc1ncnc2[nH]ccc12']; ['Nc1ccncc1']; [0.999977946]
-[NH3+][C@H]1CCC[C@@H](c2ncnc3[nH]ccc23)C1; [None]; [None]; [0]
-Cn1cncc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-Cn1cc(-c2ncnc3[nH]ccc23)cn1; ['Clc1ncnc2[nH]ccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999804914]
-c1coc(-c2ncnc3[nH]ccc23)c1; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1ccco1']; [0.992873192]
-c1csc(-c2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
-CC(C)Nc1ncnc2[nH]ccc12; ['CC(C)N']; ['Clc1ncnc2[nH]ccc12']; [0.998097]
-CC(C)c1oncc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-CSc1nc(-c2ncnc3[nH]ccc23)c[nH]1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ncnc4[nH]ccc34)cc2s1; [None]; [None]; [0]
-N#CCCc1cccc(-c2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
-c1nc(-c2csc3ncncc23)c2cc[nH]c2n1; [None]; [None]; [0]
-Fc1ccc(-c2ncnc3[nH]ccc23)c(C(F)(F)F)c1; ['Clc1ncnc2[nH]ccc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.991228]
-CCC(=O)Nc1ccc(-c2ncnc3[nH]ccc23)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1ncnc2[nH]ccc12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ncnc3[nH]ccc23)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1ncnc2[nH]ccc12']; [0.991425276]
-CS(=O)(=O)C1CCN(c2ncnc3[nH]ccc23)CC1; [None]; [None]; [0]
-Cn1cc(-c2ncnc3[nH]ccc23)c2ccccc21; [None]; [None]; [0]
-CCC(=O)Nc1ncnc2[nH]ccc12; ['CCC(=O)O']; ['Nc1ncnc2[nH]ccc12']; [0.955840707]
-COc1ccc(-c2ncnc3[nH]ccc23)cc1Cl; [None]; [None]; [0]
-C[C@H](c1ncnc2[nH]ccc12)C(F)(F)F; [None]; [None]; [0]
-c1nc(-c2cnoc2)c2cc[nH]c2n1; [None]; [None]; [0]
-Cc1cc(-c2ncnc3[nH]ccc23)no1; [None]; [None]; [0]
-c1ccn2ncc(-c3ncnc4[nH]ccc34)c2c1; [None]; [None]; [0]
-O=c1cc(-c2ncnc3[nH]ccc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-CCCn1cc(-c2ncnc3[nH]ccc23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Clc1ncnc2[nH]ccc12']; [0.999947548]
-O=c1cc(-c2ncnc3[nH]ccc23)cc[nH]1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ncnc4[nH]ccc34)c21; [None]; [None]; [0]
-COc1cc(CCc2ncnc3[nH]ccc23)cc(OC)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ncnc2[nH]ccc12; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ncnc3[nH]ccc23)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1ncnc2[nH]ccc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ncnc3[nH]ccc23)cc1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ncnc3[nH]ccc23)ccc1Cl; [None]; [None]; [0]
-CCN(CC)c1ncnc2[nH]ccc12; ['CCNCC']; ['Clc1ncnc2[nH]ccc12']; [0.980599046]
-COc1ccncc1Nc1ncnc2[nH]ccc12; [None]; [None]; [0]
-c1ccc2c(-c3ncnc4[nH]ccc34)c[nH]c2c1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3ncnc4[nH]ccc34)cc12; [None]; [None]; [0]
-c1cc2c(-c3ncnc4[nH]ccc34)c[nH]c2cn1; [None]; [None]; [0]
-c1nc(-c2cnc3[nH]ccc3c2)c2cc[nH]c2n1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Clc1ncnc2[nH]ccc12']; [0.999858618]
-CNC(=O)c1c(F)cccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-c1ccc2ncc(Nc3ncnc4[nH]ccc34)cc2c1; ['Clc1ncnc2[nH]ccc12']; ['Nc1cnc2ccccc2c1']; [0.998020053]
-CC1(c2ncnc3[nH]ccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ncnc3[nH]ccc23)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ncnc2[nH]ccc12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ncnc3[nH]ccc23)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ncnc3[nH]ccc23)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ncnc3[nH]ccc23)C1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ncnc2[nH]ccc12; [None]; [None]; [0]
-c1nc(-c2ccc(N3CCOCC3)cc2)c2cc[nH]c2n1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Clc1ncnc2[nH]ccc12']; ['Clc1ncnc2[nH]ccc12', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999989033, 0.999989033]
-N#CC[C@@H]1CC[C@@H](c2ncnc3[nH]ccc23)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ncnc3[nH]ccc23)cc1; [None]; [None]; [0]
-Cc1cc(-c2ncnc3[nH]ccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnc3[nH]ccc23)cc1; [None]; [None]; [0]
-C[C@H](Nc1ncnc2[nH]ccc12)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Clc1ncnc2[nH]ccc12']; [0.99709475]
-OCc1ccn(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ncnc3[nH]ccc23)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-C[C@H](Nc1ncnc2[nH]ccc12)C(C)(C)O; [None]; [None]; [0]
-OCCc1cn(-c2ncnc3[nH]ccc23)cn1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-C[C@@H](Nc1ncnc2[nH]ccc12)C(C)(C)O; [None]; [None]; [0]
-c1nc(-c2nc[nH]n2)c2cc[nH]c2n1; [None]; [None]; [0]
-Oc1ncccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-Oc1ccc2nc(-c3ncnc4[nH]ccc34)[nH]c2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ncnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
-c1cc(Cc2ncnc3[nH]ccc23)ccn1; [None]; [None]; [0]
-COc1ccc(-c2ncnc3[nH]ccc23)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Clc1ncnc2[nH]ccc12']; [0.998897195]
-c1nc(-c2ccc(-n3cncn3)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ncnc3[nH]ccc23)cc1; ['Clc1ncnc2[nH]ccc12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.990645409]
-CC(C)n1cnnc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-c1nc(-c2nncn2C2CC2)c2cc[nH]c2n1; [None]; [None]; [0]
-Cn1cnnc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ncnc2[nH]ccc12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-c1nc(OC2CCOCC2)c2cc[nH]c2n1; ['Clc1ncnc2[nH]ccc12']; ['OC1CCOCC1']; [0.999833941]
-c1cn(-c2ncnc3[nH]ccc23)cn1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ncnc4[nH]ccc34)nn2)cc1; [None]; [None]; [0]
-O=C(CCc1ncnc2[nH]ccc12)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-c2ncnc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
-C[C@@H](Nc1ncnc2[nH]ccc12)C(C)(C)C; [None]; [None]; [0]
-Nc1ncc(-c2ncnc3[nH]ccc23)s1; [None]; [None]; [0]
-Nc1nnc(-c2ncnc3[nH]ccc23)s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncnc3[nH]ccc23)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ncnc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ncnc2[nH]ccc12; ['COc1cccc(F)c1B(O)O']; ['Clc1ncnc2[nH]ccc12']; [0.999405503]
-c1nc(-c2csc(N3CCOCC3)n2)c2cc[nH]c2n1; [None]; [None]; [0]
-Cc1cncc(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
-c1cc(-c2ncnc3[nH]ccc23)c2sccc2c1; [None]; [None]; [0]
-c1ccc2sc(-c3ncnc4[nH]ccc34)nc2c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ncnc2[nH]ccc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ncnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
-c1nc(CC2CCOCC2)c2cc[nH]c2n1; [None]; [None]; [0]
-c1ccc2nc(-c3ncnc4[nH]ccc34)ncc2c1; [None]; [None]; [0]
-Cn1cc(-c2ncnc3[nH]ccc23)c(=O)n1C; [None]; [None]; [0]
-Nc1nc(-c2ncnc3[nH]ccc23)nc2ccccc12; [None]; [None]; [0]
-c1cnc2c(-c3ncnc4[nH]ccc34)c[nH]c2c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ncnc3[nH]ccc23)CC1; [None]; [None]; [0]
-c1nc(-c2ncc3cc[nH]c3n2)c2cc[nH]c2n1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2ncnc3[nH]ccc23)cn1; [None]; [None]; [0]
-CC(C)(C)Oc1ncnc2[nH]ccc12; ['CC(C)(C)O']; ['Clc1ncnc2[nH]ccc12']; [0.761834085]
-c1cncc(Cc2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
-CC(C)(C)CNc1ncnc2[nH]ccc12; ['CC(C)(C)CN']; ['Clc1ncnc2[nH]ccc12']; [0.999809921]
-COc1ccc(C#N)cc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ncnc3[nH]ccc23)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['Clc1ncnc2[nH]ccc12']; [0.992557287]
-Cc1cc(C)cc(-c2ncnc3[nH]ccc23)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Clc1ncnc2[nH]ccc12']; [0.969635189]
-c1ccc2[nH]c(C3CCN(c4ncnc5[nH]ccc45)CC3)nc2c1; ['Clc1ncnc2[nH]ccc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999771774]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ncnc3[nH]ccc23)C1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Clc1ncnc2[nH]ccc12']; [0.999982476]
-CS(=O)(=O)Nc1ccccc1Cc1ncnc2[nH]ccc12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ncnc2ccccc12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ncnc3[nH]ccc23)CC1; [None]; [None]; [0]
-CCOc1ccccc1-c1ncnc2ccccc12; ['CCOc1ccccc1B(O)O']; ['Clc1ncnc2ccccc12']; [0.997658]
-O[C@H]1C[C@@H](c2ncnc3ccccc23)C1; [None]; [None]; [0]
-CN(C)c1cc(-c2ncnc3[nH]ccc23)cnn1; [None]; [None]; [0]
-c1ccc(-c2ncnc3ccccc23)cc1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ncnc3ccccc23)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ncnc2ccccc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ncnc2ccccc12; [None]; [None]; [0]
-COC(C)(C)CCc1ncnc2ccccc12; [None]; [None]; [0]
-c1ccc2c(-c3ncnc4ccccc34)ccnc2c1; ['Clc1ncnc2ccccc12']; ['OB(O)c1ccnc2ccccc12']; [0.977049291]
-CP(C)(=O)c1ccccc1-c1ncnc2ccccc12; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ncnc3ccccc23)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999694]
-c1ccc2c(C3CCOCC3)ncnc2c1; ['O=C(O)C1CCOCC1']; ['c1ccc2ncncc2c1']; [0.989155471]
-c1cncc(-c2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12']; ['OB(O)c1cccnc1']; [0.997350097]
-c1ccc2c(-c3cc[nH]n3)ncnc2c1; [None]; [None]; [0]
-Fc1ccccc1-c1ncnc2ccccc12; ['Clc1ncnc2ccccc12']; ['OB(O)c1ccccc1F']; [0.997660875]
-Clc1ccccc1-c1ncnc2ccccc12; ['Clc1ncnc2ccccc12']; ['OB(O)c1ccccc1Cl']; [0.989284575]
-Cc1cccc(-c2ncnc3ccccc23)c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1ncnc2ccccc12; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1ncnc2ccccc12; ['Clc1ncnc2ccccc12']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999640584]
-Brc1ccccc1-c1ncnc2ccccc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ncnc2ccccc12; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ncnc4ccccc34)cn2)cc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Clc1ncnc2ccccc12']; [0.998342514]
-c1ccc(-c2ncc(-c3ncnc4ccccc34)[nH]2)cc1; [None]; [None]; [0]
-c1ccc2c(-c3ccncn3)ncnc2c1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ncnc2ccccc12; [None]; [None]; [0]
-OCCn1cc(-c2ncnc3ccccc23)cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ncnc3ccccc23)cs1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ncnc2ccccc12; ['Clc1ncnc2ccccc12']; ['OB(O)c1c(F)cccc1F']; [0.998893917]
-N[C@@H](c1ccco1)c1ncnc2ccccc12; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ncnc3ccccc23)CO1; [None]; [None]; [0]
-c1ccc2c(C3CCCCC3)ncnc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncnc3ccccc23)c1)c1ccccc1; [None]; [None]; [0]
-COc1cnc(-c2ncnc3ccccc23)nc1; [None]; [None]; [0]
-c1ccc2c(CC3CCCCC3)ncnc2c1; [None]; [None]; [0]
-c1ccc2c(-c3ccc4c(c3)CCC4)ncnc2c1; [None]; [None]; [0]
-c1ccc2c(-c3cnco3)ncnc2c1; [None]; [None]; [0]
-Cc1ccc(-c2ncnc3ccccc23)c(Br)c1; [None]; [None]; [0]
-CC(C)C(=O)COc1ncnc2ccccc12; ['CC(C)C(=O)CBr']; ['Oc1ncnc2ccccc12']; [0.761164606]
-c1ccc2c(-c3cnc4ccccn34)ncnc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ncnc3ccccc23)s1; [None]; [None]; [0]
-c1ccc2c(-c3cnc4cccnn34)ncnc2c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ncnc2ccccc12; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ncnc2ccccc12; [None]; [None]; [0]
-CC(C)(C)Nc1ncnc2ccccc12; ['CC(C)(C)N']; ['O=c1[nH]cnc2ccccc12']; [0.998571157]
-CNc1nc(C)c(-c2ncnc3ccccc23)s1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2ncnc3ccccc23)c1; [None]; [None]; [0]
-Clc1cccc(-c2ncnc3ccccc23)c1Cl; ['Clc1ccccc1Cl']; ['Clc1ncnc2ccccc12']; [0.758276939]
-Cc1ccc(Cl)c(-c2ncnc3ccccc23)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1ncnc2ccccc12']; [0.994637191]
-Clc1cccc(Cl)c1-c1ncnc2ccccc12; ['Clc1ncnc2ccccc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.980286658]
-Cc1ncc(-c2ncnc3ccccc23)[nH]1; [None]; [None]; [0]
-c1ccc2c(OC3CCCCC3)ncnc2c1; [None]; [None]; [0]
-Nc1nccc(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
-COc1cccc(-c2ncnc3ccccc23)c1; ['COc1cccc(B(O)O)c1', 'COc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; [0.999885678, 0.999885678]
-c1cncc(CNc2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12']; ['NCc1cccnc1']; [0.999991059]
-c1cncc(Nc2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12']; ['Nc1cccnc1']; [0.999796927]
-c1ccc2cc(-c3ncnc4ccccc34)ccc2c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C']; ['Clc1ncnc2ccccc12']; [0.999610603]
-C[C@H](CO)Nc1ncnc2ccccc12; ['C[C@@H](N)CO']; ['Clc1ncnc2ccccc12']; [0.999891043]
-CCC(C)(C)c1ncnc2ccccc12; [None]; [None]; [0]
-c1ccc2c(NCCc3c[nH]cn3)ncnc2c1; ['Clc1ncnc2ccccc12']; ['NCCc1c[nH]cn1']; [0.999853253]
-Clc1ccc(-c2ncnc3ccccc23)s1; ['Clc1ncnc2ccccc12']; ['OB(O)c1ccc(Cl)s1']; [0.995536804]
-CC(C)COc1ncnc2ccccc12; ['CC(C)CO', 'CC(C)CO']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.969572783, 0.969572783]
-c1ccc2c(-n3cnc4ccccc43)ncnc2c1; ['Clc1ncnc2ccccc12']; ['c1ccc2[nH]cnc2c1']; [0.999982595]
-C[C@@H](O)[C@@H](C)Oc1ncnc2ccccc12; [None]; [None]; [0]
-O=C(Nc1ncnc2ccccc12)c1cccs1; ['Nc1ncnc2ccccc12']; ['O=C(Cl)c1cccs1']; [0.999419]
-c1ccc2c(-c3ncnc4ccccc34)cncc2c1; ['Clc1ncnc2ccccc12']; ['OB(O)c1cncc2ccccc12']; [0.997884929]
-COC(=O)[C@@H](N)Cc1ncnc2ccccc12; [None]; [None]; [0]
-CCCCc1ncnc2ccccc12; ['CCCCB1OC(C)(C)C(C)(C)O1']; ['Clc1ncnc2ccccc12']; [0.963141382]
-Cn1cc(-c2ccc(-c3ncnc4ccccc34)cc2)cn1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ncnc3ccccc23)c1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ncnc4ccccc34)ccc12; [None]; [None]; [0]
-c1ccc(CCNc2ncnc3ccccc23)cc1; [None]; [None]; [0]
-CCCn1cnc(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
-Oc1cccc(-c2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12']; ['OB(O)c1cccc(O)c1']; [0.989302456]
-Cn1ncc2cc(-c3ncnc4ccccc34)ccc21; ['Clc1ncnc2ccccc12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999896765]
-[NH3+]CCCc1ncnc2ccccc12; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ncnc2ccccc12; [None]; [None]; [0]
-Cn1cncc1-c1ncnc2ccccc12; [None]; [None]; [0]
-OCc1cccc(-c2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12']; ['OCc1cccc(B(O)O)c1']; [0.992683232]
-c1coc(-c2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12']; ['OB(O)c1ccco1']; [0.996863246]
-[NH3+][C@H]1CCC[C@@H](c2ncnc3ccccc23)C1; [None]; [None]; [0]
-c1csc(-c2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12']; ['OB(O)c1cccs1']; [0.999284327]
-c1ccc2c(Nc3ccncc3)ncnc2c1; ['Clc1ncnc2ccccc12']; ['Nc1ccncc1']; [0.999875188]
-Cn1cc(-c2ncnc3ccccc23)cn1; ['Clc1ncnc2ccccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.99879837]
-CSc1nc(-c2ncnc3ccccc23)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ncnc2ccccc12; [None]; [None]; [0]
-CC(C)Nc1ncnc2ccccc12; [None]; [None]; [0]
-c1ccc2c(-c3csc4ncncc34)ncnc2c1; [None]; [None]; [0]
-N#CCCc1cccc(-c2ncnc3ccccc23)c1; [None]; [None]; [0]
-Fc1ccc(-c2ncnc3ccccc23)c(C(F)(F)F)c1; ['Clc1ncnc2ccccc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.997956514]
-CCNc1nc2ccc(-c3ncnc4ccccc34)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncnc3ccccc23)cc1; [None]; [None]; [0]
-Cn1cc(-c2ncnc3ccccc23)c2ccccc21; ['Clc1ncnc2ccccc12']; ['Cn1ccc2ccccc21']; [0.991162419]
-CC(=O)Nc1cccc(-c2ncnc3ccccc23)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1ncnc2ccccc12']; [0.996181726]
-FC(F)(F)Oc1ncnc2ccccc12; [None]; [None]; [0]
-CCC(=O)Nc1ncnc2ccccc12; ['CCC(N)=O', 'CCC(=O)OC(=O)CC']; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999968052, 0.999968052]
-CS(=O)(=O)C1CCN(c2ncnc3ccccc23)CC1; [None]; [None]; [0]
-C[C@H](c1ncnc2ccccc12)C(F)(F)F; [None]; [None]; [0]
-COc1ccc(-c2ncnc3ccccc23)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Clc1ncnc2ccccc12']; [0.999546826]
-Cc1cc(-c2ncnc3ccccc23)no1; [None]; [None]; [0]
-c1ccc2c(-c3cnoc3)ncnc2c1; ['Brc1cnoc1']; ['Clc1ncnc2ccccc12']; [0.974819541]
-c1ccc2c(-c3cnn4ccccc34)ncnc2c1; [None]; [None]; [0]
-CCCn1cc(-c2ncnc3ccccc23)cn1; [None]; [None]; [0]
-O=c1cc(-c2ncnc3ccccc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(-c2ncnc3ccccc23)cc[nH]1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ncnc4ccccc34)c21; [None]; [None]; [0]
-COc1cc(CCc2ncnc3ccccc23)cc(OC)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ncnc2ccccc12; ['CC(C)(C)NC(N)=O', 'CC(C)(C)N=C=O']; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999988914, 0.999988914]
-CC(C)(N)c1ccc(-c2ncnc3ccccc23)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1ncnc2ccccc12; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ncnc3ccccc23)ccc1Cl; [None]; [None]; [0]
-CCN(CC)c1ncnc2ccccc12; ['CCNCC']; ['Clc1ncnc2ccccc12']; [0.999690413]
-COc1ccncc1Nc1ncnc2ccccc12; ['COc1ccncc1N']; ['Clc1ncnc2ccccc12']; [0.999891758]
-C[S@](=O)c1ccc(-c2ncnc3ccccc23)cc1; [None]; [None]; [0]
-c1ccc2c(-c3c[nH]c4ccccc34)ncnc2c1; ['Clc1ncnc2ccccc12']; ['c1ccc2[nH]ccc2c1']; [0.931461155]
-O=c1[nH]ccc2oc(-c3ncnc4ccccc34)cc12; [None]; [None]; [0]
-c1ccc2ncc(Nc3ncnc4ccccc34)cc2c1; ['Clc1ncnc2ccccc12']; ['Nc1cnc2ccccc2c1']; [0.999345839]
-c1ccc2c(-c3c[nH]c4cnccc34)ncnc2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ncnc2ccccc12; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ncnc2ccccc12; [None]; [None]; [0]
-c1ccc2c(-c3cnc4[nH]ccc4c3)ncnc2c1; [None]; [None]; [0]
-CC1(c2ncnc3ccccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ncnc3ccccc23)C1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ncnc3ccccc23)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ncnc3ccccc23)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ncnc3ccccc23)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ncnc3ccccc23)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ncnc2ccccc12; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnc3ccccc23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ncnc2ccccc12']; [0.996970296]
-CNS(=O)(=O)c1ccc(-c2ncnc3ccccc23)cc1; [None]; [None]; [0]
-c1ccc2c(-c3ccc(N4CCOCC4)cc3)ncnc2c1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Clc1ncnc2ccccc12']; ['Clc1ncnc2ccccc12', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999743879, 0.999743879]
-CS(=O)(=O)c1ccc(-c2ncnc3ccccc23)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; [0.999836445, 0.999836445]
-OCCc1cn(-c2ncnc3ccccc23)cn1; [None]; [None]; [0]
-Cc1cc(-c2ncnc3ccccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
-C[C@H](Nc1ncnc2ccccc12)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['O=c1[nH]cnc2ccccc12']; [0.998299301]
-C[C@H](Nc1ncnc2ccccc12)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ncnc2ccccc12)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ncnc2ccccc12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ncnc2ccccc12; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1ncnc2ccccc12; [None]; [None]; [0]
-c1ccc2c(-c3nc[nH]n3)ncnc2c1; [None]; [None]; [0]
-c1ccc2c(-c3ccc(-n4cncn4)cc3)ncnc2c1; [None]; [None]; [0]
-Oc1ncccc1-c1ncnc2ccccc12; [None]; [None]; [0]
-Oc1ccc2nc(-c3ncnc4ccccc34)[nH]c2c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ncnc2ccccc12; [None]; [None]; [0]
-c1ccc2c(Cc3ccncc3)ncnc2c1; ['ClCc1ccncc1']; ['c1ccc2ncncc2c1']; [0.994930565]
-CSc1nc(C)c(-c2ncnc3ccccc23)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2ncnc3ccccc23)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Clc1ncnc2ccccc12']; [0.999854445]
-CC(C)([NH3+])CNc1ncnc2ccccc12; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.997815967]
-C[C@H](CO)n1cnnc1-c1ncnc2ccccc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ncnc2ccccc12; [None]; [None]; [0]
-O=C(CCc1ncnc2ccccc12)NCc1ccccn1; [None]; [None]; [0]
-Cn1cnnc1-c1ncnc2ccccc12; [None]; [None]; [0]
-C[C@@H](Nc1ncnc2ccccc12)C(C)(C)C; ['C[C@@H](N)C(C)(C)C', 'C[C@@H](N)C(C)(C)C']; ['Clc1ncnc2ccccc12', 'Oc1ncnc2ccccc12']; [0.999923587, 0.999923587]
-c1ccc2c(-c3nncn3C3CC3)ncnc2c1; [None]; [None]; [0]
-c1ccc2c(-n3ccnc3)ncnc2c1; ['Clc1ncnc2ccccc12']; ['c1c[nH]cn1']; [0.999989152]
-c1ccc2c(OC3CCOCC3)ncnc2c1; ['Clc1ncnc2ccccc12']; ['OC1CCOCC1']; [0.99919492]
-c1ccc(Cn2cc(-c3ncnc4ccccc34)nn2)cc1; [None]; [None]; [0]
-CCc1cc(-c2ncnc3ccccc23)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ncnc3ccccc23)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2ncnc3ccccc23)s1; [None]; [None]; [0]
-Cc1cncc(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
-Nc1nnc(-c2ncnc3ccccc23)s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncnc3ccccc23)s1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ncnc2ccccc12; [None]; [None]; [0]
-c1ccc2c(-c3csc(N4CCOCC4)n3)ncnc2c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ncnc2ccccc12; ['COc1cccc(F)c1B(O)O']; ['Clc1ncnc2ccccc12']; [0.999820173]
-c1ccc2c(CC3CCOCC3)ncnc2c1; [None]; [None]; [0]
-c1ccc2sc(-c3ncnc4ccccc34)nc2c1; [None]; [None]; [0]
-c1cc(-c2ncnc3ccccc23)c2sccc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ncnc3ccccc23)[nH]1; [None]; [None]; [0]
-c1ccc2nc(-c3ncnc4ccccc34)ncc2c1; [None]; [None]; [0]
-c1ccc2c(-c3c[nH]c4cccnc34)ncnc2c1; ['Clc1ncnc2ccccc12']; ['c1cnc2cc[nH]c2c1']; [0.946455657]
-Nc1nc(-c2ncnc3ccccc23)nc2ccccc12; [None]; [None]; [0]
-Cn1cc(-c2ncnc3ccccc23)c(=O)n1C; [None]; [None]; [0]
-c1ccc2c(-c3cnccc3N3CCOCC3)ncnc2c1; [None]; [None]; [0]
-c1ccc2c(-c3ncc4cc[nH]c4n3)ncnc2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ncnc2ccccc12; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ncnc3ccccc23)CC1; [None]; [None]; [0]
-c1cncc(Cc2ncnc3ccccc23)c1; ['Cc1cccnc1']; ['c1ccc2ncncc2c1']; [0.960094094]
-CC(C)(C)Oc1ncnc2ccccc12; ['CC(C)(C)[O-]', 'CC(C)(C)O']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.98066783, 0.98066783]
-CC(C)(C)CNc1ncnc2ccccc12; ['CC(C)(C)CN', 'CC(C)(C)CN']; ['O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12']; [0.998137236, 0.998137236]
-COc1ccc(OC)c(-c2ncnc3ccccc23)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Clc1ncnc2ccccc12']; [0.99949348]
-Cc1cc(C)cc(-c2ncnc3ccccc23)c1; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1']; ['Clc1ncnc2ccccc12']; [0.998919]
-c1ccc2[nH]c(C3CCN(c4ncnc5ccccc45)CC3)nc2c1; ['Clc1ncnc2ccccc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999455512]
-CS(=O)(=O)Nc1ccccc1Cc1ncnc2ccccc12; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ncnc3ccccc23)C1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ncnc3ccccc23)CC1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc2[nH]nc(C)c2c1; ['CCOc1ccccc1B(O)O']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999728858]
-CN(C)c1cc(-c2ncnc3ccccc23)cnn1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccccc3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1ccccc1']; [0.999900579]
-Cc1nnc(-c2ccccc2-c2ccc3[nH]nc(C)c3c2)[nH]1; [None]; [None]; [0]
-Cc1n[nH]c2ccc([C@@H]3C[C@H](O)C3)cc12; [None]; [None]; [0]
-COC(C)(C)CCc1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(Cc3cc(F)cc(F)c3)cc12; ['Cc1n[nH]c2ccccc12']; ['Fc1cc(F)cc(CCl)c1']; [0.975633264]
-COc1ccc(F)cc1[C@@H](C)c1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccnc4ccccc34)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1ccnc2ccccc12']; [0.99959904]
-Cc1n[nH]c2ccc(-c3ccccc3S(=O)(=O)C(C)C)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(C3CCOCC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccnc3)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Brc1cccnc1']; ['c1cncc(B2OCCCO2)c1', 'Cc1n[nH]c2ccc(Br)cc12']; [0.999887, 0.999887]
-Cc1n[nH]c2ccc(-c3ccccc3P(C)(C)=O)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccccc3Cl)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1ccccc1Cl']; [0.999590695]
-Cc1n[nH]c2ccc(-c3cc[nH]n3)cc12; [None]; [None]; [0]
-Cc1cccc(-c2ccc3[nH]nc(C)c3c2)c1; ['Cc1cccc(B(O)O)c1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999562323]
-Cc1n[nH]c2ccc(-c3ccccc3F)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1ccccc1F']; [0.99922]
-Cc1n[nH]c2ccc(-c3ccccc3OC(F)(F)F)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999770939]
-Cc1n[nH]c2ccc(-c3ccccc3Br)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1ccccc1Br']; [0.996769428]
-Cc1n[nH]c2ccc(-c3ccccc3C#N)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['N#Cc1ccccc1B(O)O']; [0.985127628]
-Cc1n[nH]c2ccc(-c3cnn(Cc4ccccc4)c3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccccc3C(=O)[O-])cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccccc3C(N)=O)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccncn3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3c(F)cccc3F)cc12; ['CC1(C)OB(c2c(F)cccc2F)OC1(C)C', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'OB(O)c1c(F)cccc1F', 'Fc1cccc(F)c1I']; [0.999985933, 0.999985933, 0.999985933]
-Cc1n[nH]c2ccc(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnn(CCO)c3)cc12; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999999762]
-Cc1n[nH]c2ccc([C@@H](N)c3ccco3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3csc(C(C)(C)C)n3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(C3CCCCC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc([C@@H]3CC[C@@H](CO)OC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccc(NC(=O)c4ccccc4)c3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(CC3CCCCC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc4c(c3)CCC4)cc12; [None]; [None]; [0]
-COc1cnc(-c2ccc3[nH]nc(C)c3c2)nc1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnco3)cc12; [None]; [None]; [0]
-Cc1ccc(-c2ccc3[nH]nc(C)c3c2)c(Br)c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(OCC(=O)C(C)C)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnc4ccccn34)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['c1ccn2ccnc2c1']; [0.999932408]
-Cc1nc(C)c(-c2ccc3[nH]nc(C)c3c2)s1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc3[nH]nc(C)c3c2)s1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(NC(C)(C)C)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3c(Cl)cccc3Cl)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999792874]
-Cc1ccc(Cl)c(-c2ccc3[nH]nc(C)c3c2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999747455]
-Cc1n[nH]c2ccc(-c3cccc(Cl)c3Cl)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1cccc(Cl)c1Cl', 'Clc1ccccc1Cl']; [0.99996984, 0.99996984]
-Cc1ncc(-c2ccc3[nH]nc(C)c3c2)[nH]1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(OC3CCCCC3)cc12; [None]; [None]; [0]
-COc1cccc(-c2ccc3[nH]nc(C)c3c2)c1; ['COc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999999046]
-Cc1n[nH]c2ccc(-c3ccnc(N)n3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(NCc3cccnc3)cc12; ['Cc1n[nH]c2ccc(N)cc12']; ['O=Cc1cccnc1']; [0.99028]
-Cc1n[nH]c2ccc(-c3ccc4ccccc4c3)cc12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'OB(O)c1ccc2ccccc2c1']; [0.999994516, 0.999994516]
-Cc1n[nH]c2ccc(N[C@H](C)CO)cc12; ['C[C@@H](N)CO']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999071956]
-Cc1n[nH]c2ccc(Nc3cccnc3)cc12; [None]; [None]; [0]
-CCC(C)(C)c1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc(Cl)s3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1ccc(Cl)s1']; [0.999966145]
-Cc1n[nH]c2ccc(NCCc3c[nH]cn3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['NCCc1c[nH]cn1']; [0.998520315]
-Cc1n[nH]c2ccc(OCC(C)C)cc12; ['CC(C)CO']; ['Cc1n[nH]c2ccc([N+](=O)[O-])cc12']; [0.981822371]
-Cc1n[nH]c2ccc(-n3cnc4ccccc43)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['c1ccc2[nH]cnc2c1']; [0.992694378]
-Cc1n[nH]c2ccc(NC(=O)c3cccs3)cc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(O[C@H](C)[C@@H](C)O)cc12; [None]; [None]; [0]
-CCCCc1ccc2[nH]nc(C)c2c1; ['CCCCB(O)O']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.998293221]
-Cc1n[nH]c2ccc(-c3cncc4ccccc34)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Brc1cncc2ccccc12']; ['OB(O)c1cncc2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.999877572, 0.999877572]
-Cc1n[nH]c2ccc(-c3cccc(CC(=O)[O-])c3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(NCCc3ccccc3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['NCCc1ccccc1']; [0.986916542]
-Cc1n[nH]c2ccc(-c3ccc4c(N)[nH]nc4c3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc(-c4cnn(C)c4)cc3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc4c(cnn4C)c3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999999642]
-Cc1n[nH]c2ccc(O[C@@H](C)C[NH+](C)C)cc12; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3[nH]nc(C)c3c2)n1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(CCC[NH3+])cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccc(CO)c3)cc12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'OCc1cccc(B(O)O)c1']; [0.999989152, 0.999989152]
-Cc1n[nH]c2ccc(Nc3ccncc3)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Brc1ccncc1']; ['Nc1ccncc1', 'Cc1n[nH]c2ccc(N)cc12']; [0.999922514, 0.999922514]
-Cc1n[nH]c2ccc(-c3cccc(O)c3)cc12; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'OB(O)c1cccc(O)c1']; [0.999890089, 0.999890089]
-Cc1n[nH]c2ccc([C@@H]3CCC[C@H]([NH3+])C3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnn(C)c3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999998569]
-Cc1n[nH]c2ccc(-c3cccs3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1cccs1']; [0.999983788]
-Cc1n[nH]c2ccc(-c3cncn3C)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(NC(C)C)cc12; ['CC(C)N']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.997915328]
-Cc1n[nH]c2ccc(-c3ccco3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1ccco1']; [0.999965787]
-CSc1nc(-c2ccc3[nH]nc(C)c3c2)c[nH]1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnoc3C(C)C)cc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4[nH]nc(C)c4c3)cc2s1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3csc4ncncc34)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccc(CCC#N)c3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(OC(F)(F)F)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc(F)cc3C(F)(F)F)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999969363]
-CCC(=O)Nc1ccc(-c2ccc3[nH]nc(C)c3c2)cc1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(N3CCC(S(C)(=O)=O)CC3)cc12; ['CS(=O)(=O)C1CCNCC1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.96829325]
-CC(=O)Nc1cccc(-c2ccc3[nH]nc(C)c3c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999997139]
-Cc1n[nH]c2ccc(-c3cn(C)c4ccccc34)cc12; [None]; [None]; [0]
-CCC(=O)Nc1ccc2[nH]nc(C)c2c1; []; []; []
-Cc1n[nH]c2ccc([C@@H](C)C(F)(F)F)cc12; [None]; [None]; [0]
-Cc1cc(-c2ccc3[nH]nc(C)c3c2)no1; [None]; [None]; [0]
-COc1ccc(-c2ccc3[nH]nc(C)c3c2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999959826]
-Cc1n[nH]c2ccc(-c3cnn4ccccc34)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cc[nH]c(=O)c3)cc12; [None]; [None]; [0]
-CCCn1cc(-c2ccc3[nH]nc(C)c3c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cc1n[nH]c2ccc(Br)cc12']; [1.0]
-Cc1n[nH]c2ccc(NC(=O)NC(C)(C)C)cc12; []; []; []
-Cc1n[nH]c2ccc(-c3cnoc3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccc4c3C(=O)CC4)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc(C(C)(C)N)cc3)cc12; ['CC(C)(N)c1ccc(Br)cc1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.820228875]
-Cc1n[nH]c2ccc(-c3ccn([C@@H2]CO)c(=O)c3)cc12; [None]; [None]; [0]
-CCOC(=O)Cc1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc([S@](C)=O)cc3)cc12; ['CS(=O)c1ccc(B(O)O)cc1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999848]
-CCN(CC)c1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-COc1cc(CCc2ccc3[nH]nc(C)c3c2)cc(OC)c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
-COc1ccncc1Nc1ccc2[nH]nc(C)c2c1; ['COc1ccncc1Br']; ['Cc1n[nH]c2ccc(N)cc12']; [0.99998939]
-Cc1n[nH]c2ccc(-c3ccc(Cl)c(C(=O)[O-])c3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cc4c(=O)[nH]ccc4o3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3c[nH]c4cnccc34)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnc4[nH]ccc4c3)cc12; ['Brc1cnc2[nH]ccc2c1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999967694]
-Cc1n[nH]c2ccc(Nc3cnc4ccccc4c3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['Nc1cnc2ccccc2c1']; [0.99983]
-CNC(=O)c1c(F)cccc1-c1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(C3(C)CCN(S(C)(=O)=O)CC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc([C@H](CO)Cc3ccccc3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc([C@@H]3CCCN(C(=O)CC#N)C3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc([C@@H]3CC[C@@H](C#N)CC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc([C@@H]3CC[C@@H](NC(=O)O)C3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc([C@@H]3CC[C@@H](CCC#N)CC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc([C@H]3COCC[C@@H]3C#N)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc([C@@H]3CC[C@@H](CC#N)CC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3[nH]nc(C)c3c2)cc1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)cc12; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999997377]
-Cc1n[nH]c2ccc(-c3ccc(S(C)(=O)=O)cc3)cc12; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999957561]
-Cc1cc(-c2ccc3[nH]nc(C)c3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-n3ccc(CO)n3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(N[C@@H](C)C(C)(C)C)cc12; ['C[C@H](N)C(C)(C)C']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.997763038]
-Cc1n[nH]c2ccc(-c3cccc(F)c3C(N)=O)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-n3cnc(CCO)c3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(N[C@@H](C)C(C)(C)O)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(N[C@H](C)C(C)(C)O)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-n3ncc4ccccc43)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['c1ccc2[nH]ncc2c1']; [0.896039]
-Cc1n[nH]c2ccc(-c3nc[nH]n3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-n3ncc4c(O)cccc43)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccnc3O)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3nc4ccc(O)cc4[nH]3)cc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3[nH]nc(C)c3c2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3[nH]nc(C)c3c2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999418497]
-Cc1n[nH]c2ccc(Cc3ccncc3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3nncn3C(C)C)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc(C(=O)c4ccccc4)cc3)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccccc1']; [0.999950528, 0.999950528]
-Cc1n[nH]c2ccc(NCC(C)(C)[NH3+])cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3nncn3C)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3nncn3[C@H](C)CO)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-n3ccnc3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['c1c[nH]cn1']; [0.999383211]
-Cc1n[nH]c2ccc(OC3CCOCC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(CCC(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(N[C@H](C)C(C)(C)C)cc12; ['C[C@@H](N)C(C)(C)C']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.997763038]
-CCc1cc(-c2ccc3[nH]nc(C)c3c2)nc(N)n1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cn(Cc4ccccc4)nn3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3nnc(N)s3)cc12; [None]; [None]; [0]
-CCCCc1cc(-c2ccc3[nH]nc(C)c3c2)nc(N)n1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3csc(N4CCOCC4)n3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnc(N)s3)cc12; [None]; [None]; [0]
-Cc1cncc(-c2ccc3[nH]nc(C)c3c2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3[nH]nc(C)c3c2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccc2[nH]nc(C)c2c1; ['COc1cccc(F)c1B(O)O']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.999784291]
-Cc1n[nH]c2ccc(-c3nc4ccccc4s3)cc12; ['Cc1n[nH]c2ccc(Br)cc12']; ['c1ccc2scnc2c1']; [0.999431074]
-Cc1n[nH]c2ccc([C@H]3CCCN3C(N)=O)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccc4ccsc34)cc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc3[nH]nc(C)c3c2)[nH]1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(CC3CCOCC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cn(C)n(C)c3=O)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3nc(N)c4ccccc4n3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3c[nH]c4cccnc34)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnccc3N3CCOCC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(O[C@@H]3CC[C@H](O)CC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(Cc3cccnc3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(NCC(C)(C)C)cc12; ['CC(C)(C)CN']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.991612911]
-COc1ccc(C#N)cc1-c1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(OC(C)(C)C)cc12; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccc3[nH]nc(C)c3c2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.999931693, 0.999931693]
-Cc1n[nH]c2ccc(Cc3ccccc3NS(C)(=O)=O)cc12; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc3[nH]nc(C)c3c2)c1; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.999997377, 0.999997377]
-Cc1n[nH]c2ccc(N3CCC(c4nc5ccccc5[nH]4)CC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(N3CC=C(c4c[nH]c5ccccc45)CC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc([C@H]3CC[C@@](C)(O)CC3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnnc(N(C)C)c3)cc12; [None]; [None]; [0]
-COC(C)(C)CCc1cn[nH]c1; [None]; [None]; [0]
-c1ccc(-c2cn[nH]c2)cc1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cn[nH]c2)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cn[nH]c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cn[nH]c1; [None]; [None]; [0]
-Cc1cccc(-c2cn[nH]c2)c1; []; []; []
-CP(C)(=O)c1ccccc1-c1cn[nH]c1; [None]; [None]; [0]
-c1n[nH]cc1C1CCOCC1; [None]; [None]; [0]
-c1n[nH]cc1C1CCCCC1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cn[nH]c2)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cn[nH]c1; [None]; [None]; [0]
-c1n[nH]cc1CC1CCCCC1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cn[nH]c2)CO1; [None]; [None]; [0]
-COc1cnc(-c2cn[nH]c2)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1cn[nH]c1']; [0.997057438]
-CNc1nc(C)c(-c2cn[nH]c2)s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cn[nH]c1; [None]; [None]; [0]
-CC(C)C(=O)COc1cn[nH]c1; [None]; [None]; [0]
-c1nc(CCNc2cn[nH]c2)c[nH]1; ['Clc1cn[nH]c1']; ['NCCc1c[nH]cn1']; [0.998173356]
-c1cc(Cn2cncn2)cc(-c2cn[nH]c2)c1; [None]; [None]; [0]
-CCC(C)(C)c1cn[nH]c1; [None]; [None]; [0]
-CCCCc1cn[nH]c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cn[nH]c2)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cn[nH]c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cn[nH]c3)cc2)cn1; ['Brc1ccc(-c2cn[nH]c2)cc1']; ['Cn1cc(B(O)O)cn1']; [0.996725559]
-Nc1[nH]nc2cc(-c3cn[nH]c3)ccc12; [None]; [None]; [0]
-c1ccc(CCNc2cn[nH]c2)cc1; [None]; [None]; [0]
-CCCn1cnc(-c2cn[nH]c2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cn[nH]c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cn[nH]c3)ccc21; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cn[nH]c2)C1; [None]; [None]; [0]
-CSc1nc(-c2cn[nH]c2)c[nH]1; [None]; [None]; [0]
-[NH3+]CCCc1cn[nH]c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cn[nH]c3)cc2s1; [None]; [None]; [0]
-c1ncc2c(-c3cn[nH]c3)csc2n1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cn[nH]c1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cn[nH]c2)CC1; ['Brc1cn[nH]c1']; ['CS(=O)(=O)C1CCNCC1']; [0.966208339]
-FC(F)(F)Oc1cn[nH]c1; [None]; [None]; [0]
-Cn1cc(-c2cn[nH]c2)c2ccccc21; [None]; [None]; [0]
-c1ccn2ncc(-c3cn[nH]c3)c2c1; [None]; [None]; [0]
-O=c1cc(-c2cn[nH]c2)cc[nH]1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cn[nH]c1; ['CC(C)(C)N=C=O']; ['Nc1cn[nH]c1']; [0.997621357]
-C[C@H](c1cn[nH]c1)C(F)(F)F; [None]; [None]; [0]
-COc1cc(CCc2cn[nH]c2)cc(OC)c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cn[nH]c1; [None]; [None]; [0]
-c1cc2cc(-c3cn[nH]c3)cnc2[nH]1; ['Brc1cnc2[nH]ccc2c1', 'Brc1cn[nH]c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cn[nH]c1']; [0.999999881, 0.999999881, 0.999999881]
-O=c1cc(-c2cn[nH]c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cn[nH]c2)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cn[nH]c2)C1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cn[nH]c2)ccc1Cl; [None]; [None]; [0]
-CC1(c2cn[nH]c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cc(-c2cn[nH]c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2cn[nH]c2)n1; [None]; [None]; [0]
-c1cc(N2CCOCC2)ccc1-c1cn[nH]c1; ['Brc1ccc(-c2cn[nH]c2)cc1']; ['C1COCCN1']; [0.998290122]
-C[C@H](Nc1cn[nH]c1)C(C)(C)C; [None]; [None]; [0]
-OCCc1cn(-c2cn[nH]c2)cn1; [None]; [None]; [0]
-c1nc(-c2cn[nH]c2)n[nH]1; [None]; [None]; [0]
-C[C@H](Nc1cn[nH]c1)C(C)(C)O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cn[nH]c1; ['Cc1nc[nH]c1Br', 'Cc1nc[nH]c1I']; ['OB(O)c1cn[nH]c1', 'OB(O)c1cn[nH]c1']; [0.999838829, 0.999838829]
-c1ncn(-c2ccc(-c3cn[nH]c3)cc2)n1; ['Brc1ccc(-c2cn[nH]c2)cc1']; ['c1nc[nH]n1']; [0.999774158]
-C[C@@H](Nc1cn[nH]c1)C(C)(C)O; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cn[nH]c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cn[nH]c2)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cn[nH]c1; [None]; [None]; [0]
-Cn1cnnc1-c1cn[nH]c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cn[nH]c1; [None]; [None]; [0]
-O=C(CCc1cn[nH]c1)NCc1ccccn1; [None]; [None]; [0]
-C[C@@H](Nc1cn[nH]c1)C(C)(C)C; ['Brc1cn[nH]c1', 'C[C@@H](N)C(C)(C)C']; ['C[C@@H](N)C(C)(C)C', 'Ic1cn[nH]c1']; [0.999588668, 0.999588668]
-c1n[nH]cc1-c1nncn1C1CC1; [None]; [None]; [0]
-CCc1cc(-c2cn[nH]c2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['OB(O)c1cn[nH]c1']; [0.999888062]
-CCCCc1cc(-c2cn[nH]c2)nc(N)n1; [None]; [None]; [0]
-c1n[nH]cc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cn[nH]c3)nn2)cc1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cn[nH]c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cn[nH]c2)[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cn[nH]c2)s1; [None]; [None]; [0]
-c1ccc2nc(-c3cn[nH]c3)ncc2c1; ['Clc1ncc2ccccc2n1']; ['OB(O)c1cn[nH]c1']; [0.999049723]
-c1cc2cnc(-c3cn[nH]c3)nc2[nH]1; ['Clc1ncc2cc[nH]c2n1']; ['OB(O)c1cn[nH]c1']; [0.999341547]
-c1cc(N2CCOCC2)c(-c2cn[nH]c2)cn1; [None]; [None]; [0]
-c1n[nH]cc1CC1CCOCC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cn[nH]c1; [None]; [None]; [0]
-Cn1cc(-c2cn[nH]c2)c(=O)n1C; [None]; [None]; [0]
-CN(C)c1cc(-c2cn[nH]c2)cnn1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'CCOc1ccccc1B(O)O']; ['CCOc1ccccc1B(O)O', 'Clc1ccnc2[nH]ccc12']; [0.999981165, 0.999981165]
-CNC(=O)c1ccccc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['CNC(=O)c1ccccc1Br']; [0.999974489]
-O[C@H]1CC[C@@H](Oc2cn[nH]c2)CC1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2ccnc3[nH]ccc23)C1; [None]; [None]; [0]
-c1ccc(-c2ccnc3[nH]ccc23)cc1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccnc2[nH]ccc12; [None]; [None]; [0]
-COC(C)(C)CCc1ccnc2[nH]ccc12; [None]; [None]; [0]
-c1ccc2c(-c3ccnc4[nH]ccc34)ccnc2c1; ['Clc1ccnc2[nH]ccc12']; ['OB(O)c1ccnc2ccccc12']; [0.999517679]
-Fc1cc(F)cc(Cc2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999988198, 0.999988198]
-c1cc(C2CCOCC2)c2cc[nH]c2n1; [None]; [None]; [0]
-Fc1ccccc1-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['OB(O)c1ccccc1F', 'OB(O)c1ccccc1F', 'OB(O)c1ccccc1F']; [0.999884725, 0.999884725, 0.999884725]
-c1cc(-c2cc[nH]n2)c2cc[nH]c2n1; ['Brc1ccnc2[nH]ccc12']; ['OB(O)c1cc[nH]n1']; [0.999789536]
-Cc1cccc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'Cc1cccc(B(O)O)c1']; ['Cc1cccc(B(O)O)c1', 'Clc1ccnc2[nH]ccc12']; [0.999824464, 0.999824464]
-N#Cc1ccccc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccccc2C#N)OC1(C)C', 'Clc1ccnc2[nH]ccc12']; ['Clc1ccnc2[nH]ccc12', 'N#Cc1ccccc1B(O)O']; [0.999954581, 0.999954581]
-c1cncc(-c2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
-Clc1ccccc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['Clc1ccccc1Br']; [0.999876618]
-Brc1ccccc1-c1ccnc2[nH]ccc12; ['Clc1ccnc2[nH]ccc12']; ['OB(O)c1ccccc1Br']; [0.998470128]
-FC(F)(F)Oc1ccccc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccnc4[nH]ccc34)cn2)cc1; ['Brc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; [0.999998093]
-O=C([O-])c1ccccc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-c1cc(-c2ccnc3[nH]ccc23)ncn1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ccnc4[nH]ccc34)[nH]2)cc1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1ccnc2[nH]ccc12; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccnc3[nH]ccc23)cs1; [None]; [None]; [0]
-OCCn1cc(-c2ccnc3[nH]ccc23)cn1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['OCCn1cc(Br)cn1']; [0.99979]
-O=C(Nc1cccc(-c2ccnc3[nH]ccc23)c1)c1ccccc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ccnc3[nH]ccc23)CO1; [None]; [None]; [0]
-c1cc(C2CCCCC2)c2cc[nH]c2n1; [None]; [None]; [0]
-c1cc(-c2ccc3c(c2)CCC3)c2cc[nH]c2n1; [None]; [None]; [0]
-c1cc(CC2CCCCC2)c2cc[nH]c2n1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccnc2[nH]ccc12; ['CC(C)C(=O)CBr']; ['Oc1ccnc2[nH]ccc12']; [0.976764619]
-Cc1nc2ccccn2c1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-c1cc(-c2cnco2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cnc(-c2ccnc3[nH]ccc23)nc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccnc3[nH]ccc23)s1; [None]; [None]; [0]
-Cc1ccc(-c2ccnc3[nH]ccc23)c(Br)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccnc3[nH]ccc23)s1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ccnc2[nH]ccc12; ['Clc1ccnc2[nH]ccc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.97086215]
-c1cnn2c(-c3ccnc4[nH]ccc34)cnc2c1; [None]; [None]; [0]
-c1ccn2c(-c3ccnc4[nH]ccc34)cnc2c1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
-c1cc(OC2CCCCC2)c2cc[nH]c2n1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-Clc1cccc(-c2ccnc3[nH]ccc23)c1Cl; ['Clc1ccnc2[nH]ccc12']; ['OB(O)c1cccc(Cl)c1Cl']; [0.995816648]
-c1cncc(CNc2ccnc3[nH]ccc23)c1; ['Clc1ccnc2[nH]ccc12']; ['NCc1cccnc1']; [0.997002423]
-CC(C)(C)Nc1ccnc2[nH]ccc12; [None]; [None]; [0]
-Nc1nccc(-c2ccnc3[nH]ccc23)n1; [None]; [None]; [0]
-CCC(C)(C)c1ccnc2[nH]ccc12; [None]; [None]; [0]
-c1ccc2cc(-c3ccnc4[nH]ccc34)ccc2c1; ['Clc1ccnc2[nH]ccc12']; ['OB(O)c1ccc2ccccc2c1']; [0.99970144]
-Cc1ccc(Cl)c(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(B(O)O)c1', 'Clc1ccnc2[nH]ccc12']; [0.999765337, 0.999765337]
-Cc1ncc(-c2ccnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
-Clc1ccc(-c2ccnc3[nH]ccc23)s1; [None]; [None]; [0]
-C[C@H](CO)Nc1ccnc2[nH]ccc12; ['C[C@@H](N)CO', 'C[C@@H](N)CO']; ['Clc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12']; [0.983143389, 0.983143389]
-c1ccc2c(c1)ncn2-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12']; ['c1ccc2[nH]cnc2c1']; [0.97532177]
-COc1cccc(-c2ccnc3[nH]ccc23)c1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1cccc(B(O)O)c1']; ['COc1cccc(Br)c1', 'Clc1ccnc2[nH]ccc12']; [0.999843478, 0.999843478]
-c1cncc(Nc2ccnc3[nH]ccc23)c1; ['Clc1ccnc2[nH]ccc12', 'Brc1cccnc1']; ['Nc1cccnc1', 'Nc1ccnc2[nH]ccc12']; [0.997281432, 0.997281432]
-CC(C)COc1ccnc2[nH]ccc12; [None]; [None]; [0]
-c1cc(NCCc2c[nH]cn2)c2cc[nH]c2n1; ['Clc1ccnc2[nH]ccc12']; ['NCCc1c[nH]cn1']; [0.973115504]
-COC(=O)[C@@H](N)Cc1ccnc2[nH]ccc12; [None]; [None]; [0]
-O=C(Nc1ccnc2[nH]ccc12)c1cccs1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ccnc2[nH]ccc12; [None]; [None]; [0]
-c1ccc(CCNc2ccnc3[nH]ccc23)cc1; ['Clc1ccnc2[nH]ccc12']; ['NCCc1ccccc1']; [0.956858575]
-CCCCc1ccnc2[nH]ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccnc4[nH]ccc34)ccc21; ['Clc1ccnc2[nH]ccc12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999603093]
-c1ccc2c(-c3ccnc4[nH]ccc34)cncc2c1; ['Clc1ccnc2[nH]ccc12']; ['OB(O)c1cncc2ccccc12']; [0.996016085]
-Cn1cc(-c2ccc(-c3ccnc4[nH]ccc34)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccnc4[nH]ccc34)ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.999997497]
-C[C@@H](C[NH+](C)C)Oc1ccnc2[nH]ccc12; [None]; [None]; [0]
-[NH3+]CCCc1ccnc2[nH]ccc12; [None]; [None]; [0]
-CCCn1cnc(-c2ccnc3[nH]ccc23)n1; [None]; [None]; [0]
-OCc1cccc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(B(O)O)c1']; [0.999987125, 0.999987125]
-Oc1cccc(-c2ccnc3[nH]ccc23)c1; ['Clc1ccnc2[nH]ccc12']; ['OB(O)c1cccc(O)c1']; [0.964945614]
-c1cc(Nc2ccnc3[nH]ccc23)ccn1; ['Clc1ccnc2[nH]ccc12']; ['Nc1ccncc1']; [0.999901295]
-[NH3+][C@H]1CCC[C@@H](c2ccnc3[nH]ccc23)C1; [None]; [None]; [0]
-Cn1cncc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['Cn1cncc1Cl']; [0.998508275]
-Cn1cc(-c2ccnc3[nH]ccc23)cn1; ['Brc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [0.999997377, 0.999997377]
-c1coc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12']; ['OB(O)c1ccco1']; [0.999918342]
-CC(C)Nc1ccnc2[nH]ccc12; ['CC(C)N']; ['Clc1ccnc2[nH]ccc12']; [0.999595463]
-c1csc(-c2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-CSc1nc(-c2ccnc3[nH]ccc23)c[nH]1; [None]; [None]; [0]
-N#CCCc1cccc(-c2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
-Fc1ccc(-c2ccnc3[nH]ccc23)c(C(F)(F)F)c1; ['Clc1ccnc2[nH]ccc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999636769]
-CCNc1nc2ccc(-c3ccnc4[nH]ccc34)cc2s1; [None]; [None]; [0]
-c1cc(-c2csc3ncncc23)c2cc[nH]c2n1; [None]; [None]; [0]
-FC(F)(F)Oc1ccnc2[nH]ccc12; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccnc3[nH]ccc23)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1ccnc2[nH]ccc12']; [0.987824678]
-Cn1cc(-c2ccnc3[nH]ccc23)c2ccccc21; [None]; [None]; [0]
-CCC(=O)Nc1ccnc2[nH]ccc12; ['CCC(=O)OC(=O)CC']; ['Nc1ccnc2[nH]ccc12']; [0.997701108]
-CCC(=O)Nc1ccc(-c2ccnc3[nH]ccc23)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccnc3[nH]ccc23)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Clc1ccnc2[nH]ccc12']; [0.996074796]
-CC(=O)Nc1cccc(-c2ccnc3[nH]ccc23)c1; ['CC(=O)Nc1cccc(Br)c1', 'Brc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC(=O)Nc1cccc(B(O)O)c1']; [0.999914289, 0.999914289]
-C[C@H](c1ccnc2[nH]ccc12)C(F)(F)F; [None]; [None]; [0]
-Cc1cc(-c2ccnc3[nH]ccc23)no1; [None]; [None]; [0]
-c1cc(-c2cnoc2)c2cc[nH]c2n1; [None]; [None]; [0]
-O=c1cc(-c2ccnc3[nH]ccc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-c1ccn2ncc(-c3ccnc4[nH]ccc34)c2c1; [None]; [None]; [0]
-O=c1cc(-c2ccnc3[nH]ccc23)cc[nH]1; [None]; [None]; [0]
-CCCn1cc(-c2ccnc3[nH]ccc23)cn1; ['Brc1ccnc2[nH]ccc12']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.99999845]
-CC(C)(C)NC(=O)Nc1ccnc2[nH]ccc12; ['CC(C)(C)N=C=O']; ['Nc1ccnc2[nH]ccc12']; [0.989513874]
-COc1cc(CCc2ccnc3[nH]ccc23)cc(OC)c1; [None]; [None]; [0]
-CCOC(=O)Cc1ccnc2[nH]ccc12; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccnc4[nH]ccc34)c21; [None]; [None]; [0]
-CCN(CC)c1ccnc2[nH]ccc12; ['CCNCC']; ['Clc1ccnc2[nH]ccc12']; [0.971964061]
-O=C([O-])c1cc(-c2ccnc3[nH]ccc23)ccc1Cl; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccnc3[nH]ccc23)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3ccnc4[nH]ccc34)cc12; [None]; [None]; [0]
-COc1ccncc1Nc1ccnc2[nH]ccc12; ['COc1ccncc1Br', 'COc1ccncc1N']; ['Nc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; [0.99996388, 0.99996388]
-c1ccc2ncc(Nc3ccnc4[nH]ccc34)cc2c1; ['Brc1cnc2ccccc2c1', 'Clc1ccnc2[nH]ccc12']; ['Nc1ccnc2[nH]ccc12', 'Nc1cnc2ccccc2c1']; [0.994388521, 0.994388521]
-C[S@](=O)c1ccc(-c2ccnc3[nH]ccc23)cc1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-c1ccc2c(-c3ccnc4[nH]ccc34)c[nH]c2c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ccnc2[nH]ccc12; [None]; [None]; [0]
-CC1(c2ccnc3[nH]ccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-c1cc2c(-c3ccnc4[nH]ccc34)c[nH]c2cn1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccnc3[nH]ccc23)C1; [None]; [None]; [0]
-c1cc(-c2cnc3[nH]ccc3c2)c2cc[nH]c2n1; ['Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; [0.999974489]
-N#CC[C@@H]1CC[C@@H](c2ccnc3[nH]ccc23)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccnc3[nH]ccc23)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccnc3[nH]ccc23)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['Brc1ccnc2[nH]ccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]ccc12']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1ccnc2[nH]ccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; [0.99999845, 0.99999845, 0.99999845]
-N#C[C@H]1CCOC[C@@H]1c1ccnc2[nH]ccc12; [None]; [None]; [0]
-c1cc(-c2ccc(N3CCOCC3)cc2)c2cc[nH]c2n1; ['Brc1ccc(N2CCOCC2)cc1', 'Clc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999765933, 0.999765933]
-N#CCC[C@@H]1CC[C@@H](c2ccnc3[nH]ccc23)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['CNS(=O)(=O)c1ccc(Br)cc1']; [0.999670386]
-CS(=O)(=O)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ccnc2[nH]ccc12']; [0.982820272]
-OCc1ccn(-c2ccnc3[nH]ccc23)n1; [None]; [None]; [0]
-Cc1cc(-c2ccnc3[nH]ccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ccnc2[nH]ccc12)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Clc1ccnc2[nH]ccc12']; [0.998377442]
-OCCc1cn(-c2ccnc3[nH]ccc23)cn1; [None]; [None]; [0]
-C[C@H](Nc1ccnc2[nH]ccc12)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ccnc2[nH]ccc12)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['NC(=O)c1c(F)cccc1Br']; [0.999961257]
-c1cc(-c2nc[nH]n2)c2cc[nH]c2n1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-Oc1ccc2nc(-c3ccnc4[nH]ccc34)[nH]c2c1; [None]; [None]; [0]
-c1cc(-c2ccc(-n3cncn3)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
-Oc1ncccc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccnc2[nH]ccc12; [None]; [None]; [0]
-COc1ccc(-c2ccnc3[nH]ccc23)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Clc1ccnc2[nH]ccc12']; [0.999924183]
-c1cc(Cc2ccnc3[nH]ccc23)ccn1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.999915242, 0.999915242]
-C[C@H](CO)n1cnnc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-Cn1cnnc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-O=C(CCc1ccnc2[nH]ccc12)NCc1ccccn1; [None]; [None]; [0]
-c1cc(-c2nncn2C2CC2)c2cc[nH]c2n1; [None]; [None]; [0]
-C[C@@H](Nc1ccnc2[nH]ccc12)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Clc1ccnc2[nH]ccc12']; [0.998377442]
-c1cc(OC2CCOCC2)c2cc[nH]c2n1; [None]; [None]; [0]
-c1cn(-c2ccnc3[nH]ccc23)cn1; ['Brc1ccnc2[nH]ccc12']; ['c1c[nH]cn1']; [0.994020343]
-CCCCc1cc(-c2ccnc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccnc4[nH]ccc34)nn2)cc1; [None]; [None]; [0]
-CCc1cc(-c2ccnc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2ccnc3[nH]ccc23)s1; [None]; [None]; [0]
-Nc1nnc(-c2ccnc3[nH]ccc23)s1; [None]; [None]; [0]
-Cc1cncc(-c2ccnc3[nH]ccc23)n1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['Cc1cncc(Cl)n1']; [0.999985814]
-NC(=O)N1CCC[C@@H]1c1ccnc2[nH]ccc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc3[nH]ccc23)s1; [None]; [None]; [0]
-c1cc(-c2csc(N3CCOCC3)n2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['COc1cccc(F)c1Br']; [0.999996305]
-c1cc(CC2CCOCC2)c2cc[nH]c2n1; [None]; [None]; [0]
-Nc1nc(-c2ccnc3[nH]ccc23)nc2ccccc12; [None]; [None]; [0]
-c1ccc2sc(-c3ccnc4[nH]ccc34)nc2c1; ['Brc1ccnc2[nH]ccc12']; ['c1ccc2scnc2c1']; [0.999519944]
-c1cc(-c2ccnc3[nH]ccc23)c2sccc2c1; [None]; [None]; [0]
-c1ccc2nc(-c3ccnc4[nH]ccc34)ncc2c1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['Clc1ncc2ccccc2n1']; [0.999966]
-CC(=O)Nc1ncc(-c2ccnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
-c1cnc2c(-c3ccnc4[nH]ccc34)c[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-c2ccnc3[nH]ccc23)c(=O)n1C; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2ccnc3[nH]ccc23)cn1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['COc1ccc(C#N)cc1Br']; [0.999972343]
-O[C@H]1CC[C@@H](Oc2ccnc3[nH]ccc23)CC1; [None]; [None]; [0]
-c1cc(-c2ncc3cc[nH]c3n2)c2cc[nH]c2n1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccnc2[nH]ccc12; [None]; [None]; [0]
-CC(C)(C)Oc1ccnc2[nH]ccc12; [None]; [None]; [0]
-c1cncc(Cc2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
-CC(C)(C)CNc1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'CC(C)(C)CN']; ['CC(C)(C)CN', 'Clc1ccnc2[nH]ccc12']; [0.999566853, 0.999566853]
-COc1ccc(OC)c(-c2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccnc3[nH]ccc23)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Clc1ccnc2[nH]ccc12']; [0.998615503]
-C[C@@]1(O)CC[C@H](c2ccnc3[nH]ccc23)CC1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccnc3[nH]ccc23)C1; ['Brc1ccnc2[nH]ccc12']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.999943495]
-c1ccc2[nH]c(C3CCN(c4ccnc5[nH]ccc45)CC3)nc2c1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccnc3[nH]ccc23)cnn1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cnc(N)c(O)c2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2ccccc2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccccc1']; [0.983198822]
-Nc1ncc(C2CCOCC2)cc1O; [None]; [None]; [0]
-Cc1cccc(-c2cnc(N)c(O)c2)c1; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1ncc(Br)cc1O']; [0.999792516]
-Nc1ncc(C2CCCCC2)cc1O; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cnc(N)c(O)c2)cs1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-COc1cnc(-c2cnc(N)c(O)c2)nc1; [None]; [None]; [0]
-Nc1ncc(-c2ccccc2C(=O)[O-])cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cccc(Cn3cncn3)c2)cc1O; [None]; [None]; [0]
-C[C@@H](c1cnc(N)c(O)c1)[C@@H](C)O; [None]; [None]; [0]
-Nc1ncc([C@@H]2CC[C@@H](CO)OC2)cc1O; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cnc(N)c(O)c3)cc2)cn1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(N)[nH]nc3c2)cc1O; [None]; [None]; [0]
-CNc1nc(C)c(-c2cnc(N)c(O)c2)s1; [None]; [None]; [0]
-Nc1ncc([C@@H]2CCC[C@H]([NH3+])C2)cc1O; [None]; [None]; [0]
-CCCn1cnc(-c2cnc(N)c(O)c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(CC(=O)[O-])c2)cc1O; [None]; [None]; [0]
-CC(C)c1oncc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc(N)c(O)c3)ccc21; [None]; [None]; [0]
-Nc1ncc(-c2csc3ncncc23)cc1O; [None]; [None]; [0]
-CSc1nc(-c2cnc(N)c(O)c2)c[nH]1; [None]; [None]; [0]
-Nc1ncc(-c2cnn3ccccc23)cc1O; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(O)c2)c2ccccc21; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cnc(N)c(O)c3)cc2s1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Cl)c(C(=O)[O-])c2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccn([C@@H2]CO)c(=O)c2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cnc3[nH]ccc3c2)cc1O; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.999981165]
-Nc1ncc(-c2cc[nH]c(=O)c2)cc1O; [None]; [None]; [0]
-CC1(c2cnc(N)c(O)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(N3CCOCC3)cc2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999985814]
-Nc1ncc(-c2nc[nH]n2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(-n3cncn3)cc2)cc1O; [None]; [None]; [0]
-Nc1ncc([C@@H]2CC[C@@H](NC(=O)O)C2)cc1O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](CO)c1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(CC[NH+]2CCNCC2)cc1O; [None]; [None]; [0]
-CSc1nc(C)c(-c2cnc(N)c(O)c2)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Cn1cnnc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2cn(Cc3ccccc3)nn2)cc1O; [None]; [None]; [0]
-CCc1cc(-c2cnc(N)c(O)c2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2nncn2C2CC2)cc1O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc(N)c(O)c2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2cnc(N)c(O)c2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(CCCNC(=O)c2cccs2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2csc(N3CCOCC3)n2)cc1O; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(O)c2)c(=O)n1C; [None]; [None]; [0]
-Nc1ncc(CCCC[NH3+])cc1O; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cnc(N)c(O)c2)[nH]1; [None]; [None]; [0]
-Nc1ncc(-c2cnccc2N2CCOCC2)cc1O; [None]; [None]; [0]
-CN(C)c1cc(-c2cnc(N)c(O)c2)cnn1; [None]; [None]; [0]
-Nc1ncc(-c2ncc3ccccc3n2)cc1O; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnc(N)c(O)c3)c2c1; [None]; [None]; [0]
-Nc1ncc(-c2ncc3cc[nH]c3n2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cccc(NC(=O)C3CC3)c2)cc1O; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cnc(N)c(O)c3)CC2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnc(N)c(O)c2)cn1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)[O-])cc2)cc1O; [None]; [None]; [0]
-Nc1ncc(-n2ncc3ccccc3c2=O)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cc2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cn2)cc1O; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(Cc2cncnc2)cc1O; [None]; [None]; [0]
-Nc1ncc(Cc2ccccc2)cc1O; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-Nc1ncc([C@H]2CCN(C(=O)c3ccccc3)C2)cc1O; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)c(O)c2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(Cc2cnc(N)c(O)c2)cn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnc(N)c(O)c2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2cc(N3CCOCC3)ccn2)cc1O; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2cc(-c3ccccc3)[nH]n2)cc1O; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc([C@@H]2CC[C@@H]([NH3+])CC2)cc1O; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(O)c2)sn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999992609, 0.999992609]
-CC(C)(C)c1ccc(-c2cnc(N)c(O)c2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cnc(N)c(O)c3)CC2)c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnc(N)c(O)c2)c1; [None]; [None]; [0]
-Nc1ncc(-c2cccnc2Oc2ccccc2)cc1O; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
-CC[NH+](CC)c1cnc(N)c(O)c1; [None]; [None]; [0]
-CCCCCc1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2ncc3cccn3n2)cc1O; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(O)c2)ccc1N1CCOCC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnc(N)c(O)c3)cc2)CC1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(N3CCCCC3)cc2)cc1O; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.999998]
-CC1(C)Cc2cc(-c3cnc(N)c(O)c3)ccc2O1; [None]; [None]; [0]
-Nc1ncc(CCCn2cncn2)cc1O; [None]; [None]; [0]
-Cc1csc2c(-c3cnc(N)c(O)c3)ncnc12; [None]; [None]; [0]
-Nc1ncc(-c2cccc(-n3nccn3)c2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cc3ccccn3n2)cc1O; [None]; [None]; [0]
-Nc1ncc(Cc2ccc(S(=O)(=O)CCO)cc2)cc1O; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ncc(Cl)cn2)cc1O; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc(N)c(O)c2)c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cnc(N)c(O)c3)cc2c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
-Nc1ncc(NC(=O)c2ccco2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cc(F)cc3c2OCOC3)cc1O; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnc(N)c(O)c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Cc1nc(-c2cnc(N)c(O)c2)c2sccc2n1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(-c2cc(-c3cccnc3)ccn2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ncc3cc(Cl)ccc3n2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2cccc(NC(=O)N3CCCC3)c2)cc1O; [None]; [None]; [0]
-Nc1ncc(-c2ncc3sccc3n2)cc1O; [None]; [None]; [0]
-COc1ccc2nc(-c3cnc(N)c(O)c3)[nH]c2c1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)[O-])c(Cl)c2)cc1O; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cnc(N)c(O)c2)n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)c(O)c2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Nc1ncc(Br)cc1O']; [0.996256]
-Cc1n[nH]c2cc(-c3cnc(N)c(O)c3)ccc12; [None]; [None]; [0]
-Nc1ncc(OC(F)(F)F)cc1O; [None]; [None]; [0]
-Nc1ncc(C2CCC(F)(F)CC2)cc1O; [None]; [None]; [0]
-Nc1ncc(C2CCS(=O)(=O)CC2)cc1O; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(O)c2)cc(C)c1OCCO; [None]; [None]; [0]
-C[NH+](C)CCCc1cnc(N)c(O)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc(N)c(O)c2)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(CC2CCOCC2)cc1O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O']; [0.997151315]
-CNC(=O)c1ccc(-c2cnc(N)c(O)c2)c(OC)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnc(N)c(O)c2)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cnc(N)c(O)c1; [None]; [None]; [0]
-COC(C)(C)CCNc1ncccn1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2Nc2ncccn2)[nH]1; [None]; [None]; [0]
-c1ccc(Nc2ncccn2)cc1; ['Clc1ncccn1']; ['Nc1ccccc1']; [0.998731792]
-COc1ccc(F)cc1[C@@H](C)Nc1ncccn1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1Nc1ncccn1; ['CP(C)(=O)c1ccccc1N']; ['Clc1ncccn1']; [0.99971658]
-CC(C)S(=O)(=O)c1ccccc1Nc1ncccn1; ['CC(C)S(=O)(=O)c1ccccc1N']; ['Clc1ncccn1']; [0.996046841]
-c1cnc(NC2CCOCC2)nc1; ['Clc1ncccn1']; ['NC1CCOCC1']; [0.999938369]
-Cc1cccc(Nc2ncccn2)c1; ['Cc1cccc(N)c1']; ['Clc1ncccn1']; [0.999675393]
-O=C([O-])c1ccccc1Nc1ncccn1; [None]; [None]; [0]
-c1cnc(NC2CCCCC2)nc1; ['Clc1ncccn1', 'Ic1ncccn1']; ['NC1CCCCC1', 'NC1CCCCC1']; [0.999708235, 0.999708235]
-CC(C)(C)c1nc(Nc2ncccn2)cs1; [None]; [None]; [0]
-c1cnc(NCC2CCCCC2)nc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](Nc2ncccn2)CO1; [None]; [None]; [0]
-COc1cnc(Nc2ncccn2)nc1; ['COc1cnc(Br)nc1']; ['Nc1ncccn1']; [0.996283352]
-CNc1nc(C)c(Nc2ncccn2)s1; [None]; [None]; [0]
-CC(C)C(=O)CONc1ncccn1; [None]; [None]; [0]
-Cc1nc2ccccn2c1Nc1ncccn1; [None]; [None]; [0]
-CCC(C)(C)Nc1ncccn1; ['Brc1ncccn1']; ['CCC(C)(C)N']; [0.996219814]
-c1cnc(Nc2cccc(Cn3cncn3)c2)nc1; [None]; [None]; [0]
-c1cnc(NNCCc2c[nH]cn2)nc1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(Nc2ncccn2)c1; [None]; [None]; [0]
-CCCCNc1ncccn1; ['CCCCN', 'CCCCO']; ['Ic1ncccn1', 'Nc1ncccn1']; [0.978702188, 0.978702188]
-Cn1cc(-c2ccc(Nc3ncccn3)cc2)cn1; [None]; [None]; [0]
-COC(=O)[C@@H](N)CNc1ncccn1; [None]; [None]; [0]
-c1ccc(CCNNc2ncccn2)cc1; ['ClCCc1ccccc1']; ['NNc1ncccn1']; [0.963256955]
-Nc1[nH]nc2cc(Nc3ncccn3)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(Nc3ncccn3)ccc21; ['Cn1ncc2cc(Br)ccc21', 'CS(=O)c1ncccn1']; ['Nc1ncccn1', 'Cn1ncc2cc(N)ccc21']; [0.999046624, 0.999046624]
-CCCn1cnc(Nc2ncccn2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)ONc1ncccn1; [None]; [None]; [0]
-[NH3+]CCCNc1ncccn1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](Nc2ncccn2)C1; [None]; [None]; [0]
-CC(C)c1oncc1Nc1ncccn1; [None]; [None]; [0]
-CSc1nc(Nc2ncccn2)c[nH]1; [None]; [None]; [0]
-c1cnc(Nc2csc3ncncc23)nc1; [None]; [None]; [0]
-CCNc1nc2ccc(Nc3ncccn3)cc2s1; [None]; [None]; [0]
-FC(F)(F)ONc1ncccn1; [None]; [None]; [0]
-C[C@H](Nc1ncccn1)C(F)(F)F; ['C[C@H](N)C(F)(F)F']; ['Ic1ncccn1']; [0.998563588]
-Cn1cc(Nc2ncccn2)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(Nc2ncccn2)CC1; [None]; [None]; [0]
-c1cnc(Nc2cnn3ccccc23)nc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)NNc1ncccn1; ['CC(C)(C)N=C=O']; ['NNc1ncccn1']; [0.999948263]
-O=c1cc(Nc2ncccn2)cc[nH]1; [None]; [None]; [0]
-O=c1cc(Nc2ncccn2)ccn1[C@@H2]CO; [None]; [None]; [0]
-COc1cc(CCNc2ncccn2)cc(OC)c1; ['Brc1ncccn1', 'COc1cc(CCN)cc(OC)c1']; ['COc1cc(CCN)cc(OC)c1', 'Ic1ncccn1']; [0.999374, 0.999374]
-CNC(=O)c1c(F)cccc1Nc1ncccn1; [None]; [None]; [0]
-O=C([O-])c1cc(Nc2ncccn2)ccc1Cl; [None]; [None]; [0]
-c1cnc(Nc2cnc3[nH]ccc3c2)nc1; ['Clc1ncccn1']; ['Nc1cnc2[nH]ccc2c1']; [0.99940908]
-O=C(O)N[C@@H]1CC[C@@H](Nc2ncccn2)C1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](Nc2ncccn2)CC1; [None]; [None]; [0]
-CC1(Nc2ncccn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cc(Nc2ncccn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-c1cnc(Nc2ccc(N3CCOCC3)cc2)nc1; [None]; [None]; [0]
-OCc1ccn(Nc2ncccn2)n1; [None]; [None]; [0]
-C[C@H](NNc1ncccn1)C(C)(C)C; [None]; [None]; [0]
-OCCc1cn(Nc2ncccn2)cn1; [None]; [None]; [0]
-C[C@H](NNc1ncccn1)C(C)(C)O; [None]; [None]; [0]
-c1cnc(Nc2ccc(-n3cncn3)cc2)nc1; ['CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1']; ['Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1']; [0.997874, 0.997874]
-c1cnc(Nc2nc[nH]n2)nc1; ['Clc1ncccn1']; ['Nc1nc[nH]n1']; [0.855440199]
-C[C@@H](NNc1ncccn1)C(C)(C)O; [None]; [None]; [0]
-CC(C)([NH3+])CNNc1ncccn1; [None]; [None]; [0]
-Cc1nc[nH]c1Nc1ncccn1; [None]; [None]; [0]
-CSc1nc(C)c(Nc2ncccn2)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1Nc1ncccn1; [None]; [None]; [0]
-CC(C)n1cnnc1Nc1ncccn1; [None]; [None]; [0]
-Cn1cnnc1Nc1ncccn1; [None]; [None]; [0]
-O=C(CCNc1ncccn1)NCc1ccccn1; [None]; [None]; [0]
-c1cnc(Nc2nncn2C2CC2)nc1; [None]; [None]; [0]
-C[C@@H](NNc1ncccn1)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(Nc2ncccn2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['Nc1ncccn1']; [0.994881392]
-c1ccc(Cn2cc(Nc3ncccn3)nn2)cc1; [None]; [None]; [0]
-c1cnc(Nc2csc(N3CCOCC3)n2)nc1; [None]; [None]; [0]
-CCCCc1cc(Nc2ncccn2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ncccn2)s1; [None]; [None]; [0]
-c1cnc(NCC2CCOCC2)nc1; ['Clc1ncccn1', 'NCC1CCOCC1']; ['NCC1CCOCC1', 'O=c1nccc[nH]1']; [0.999569476, 0.999569476]
-NC(=O)N1CCC[C@@H]1Nc1ncccn1; [None]; [None]; [0]
-CC(=O)Nc1ncc(Nc2ncccn2)[nH]1; [None]; [None]; [0]
-c1cnc(Nc2ncc3ccccc3n2)nc1; ['Clc1ncccn1', 'Clc1ncc2ccccc2n1']; ['Nc1ncc2ccccc2n1', 'Nc1ncccn1']; [0.999376833, 0.999376833]
-Cn1cc(Nc2ncccn2)c(=O)n1C; [None]; [None]; [0]
-c1cnc(Nc2ncc3cc[nH]c3n2)nc1; ['Clc1ncc2cc[nH]c2n1']; ['Nc1ncccn1']; [0.999329209]
-c1cnc(Nc2cnccc2N2CCOCC2)nc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1CNc1ncccn1; ['CS(=O)(=O)Nc1ccccc1C=O']; ['Nc1ncccn1']; [0.987431169]
-CN(C)c1cc(Nc2ncccn2)cnn1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](ONc2ncccn2)CC1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2ncccn2)cc1; ['CC(=O)N(C)c1ccc(N)cc1']; ['Clc1ncccn1']; [0.998541951]
-O=C(Nc1cccc(Nc2ncccn2)c1)C1CC1; [None]; [None]; [0]
-COc1cccc(N2CCC(Nc3ncccn3)CC2)c1; ['COc1cccc(N2CCC(=O)CC2)c1']; ['Nc1ncccn1']; [0.938696504]
-O=C([O-])c1ccc(Nc2ncccn2)cc1; ['Clc1ncccn1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.902344942]
-CS(=O)(=O)Nc1ccc(Nc2ncccn2)cn1; [None]; [None]; [0]
-O=C(c1ccc(Nc2ncccn2)cc1)N1CCOCC1; ['Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; ['O=C(c1ccc(Br)cc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1']; [0.998707056, 0.998707056, 0.998707056]
-CC(=O)NCc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
-O=C(c1ccc(Nc2ncccn2)nc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(Nc2ncccn2)cc1; ['CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncccn1']; [0.990780532]
-CCNS(=O)(=O)c1ccc(Nc2ncccn2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncccn1', 'Nc1ncccn1']; [0.995511055, 0.995511055]
-CS(=O)(=O)N1CCC(Nc2ncccn2)CC1; ['Brc1ncccn1', 'CS(=O)(=O)N1CCC(N)CC1']; ['CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)c1ncccn1']; [0.999688, 0.999688]
-C[C@@H](O)COc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2ncccn2)cc1Cl; [None]; [None]; [0]
-Cc1c(Nc2ncccn2)cccc1C(=O)[O-]; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](Nc2ncccn2)C1; [None]; [None]; [0]
-Cc1cc(Nc2ncccn2)sn1; ['Cc1cc(N)sn1']; ['Clc1ncccn1']; [0.969038963]
-CN(C)c1ccc(Nc2ncccn2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['Clc1ncccn1']; [0.991139829]
-c1ccc(-c2cc(Nc3ncccn3)n[nH]2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3ncccn3)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ncccn2)cc1; ['CN(C)C(=O)c1ccc(Cl)cc1']; ['Nc1ncccn1']; [0.876967669]
-c1cnc(Nc2cc(N3CCOCC3)ccn2)nc1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2Nc2ncccn2)cc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1ncccn1; ['Brc1ncccn1', 'COc1cc(N2CCOCC2)ccc1N']; ['COc1cc(N2CCOCC2)ccc1N', 'Ic1ncccn1']; [0.999891758, 0.999891758]
-CC(=O)N[C@@H]1CC[C@@H](Nc2ncccn2)CC1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](Nc2ncccn2)CC1; [None]; [None]; [0]
-COCCNc1ncccn1; ['COCCN']; ['Ic1ncccn1']; [0.999787867]
-CCN1CCN(Cc2ccc(Nc3ncccn3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1']; ['Clc1ncccn1']; [0.990983605]
-CC(C)(C)c1ccc(Nc2ncccn2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)NNc2ncccn2)c1; ['COc1cccc(C(=O)O)c1']; ['NNc1ncccn1']; [0.999882]
-COc1cc(Nc2ncccn2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1cnc(Nc2ccc(N3CCCCC3)cc2)nc1; ['Brc1ncccn1']; ['Nc1ccc(N2CCCCC2)cc1']; [0.999024391]
-c1cnc(Nc2cc3ccccn3n2)nc1; [None]; [None]; [0]
-c1cnc(Nc2ncc3cccn3n2)nc1; [None]; [None]; [0]
-Clc1cnc(Nc2ncccn2)nc1; ['Clc1cnc(Cl)nc1', 'Clc1ncccn1']; ['Nc1ncccn1', 'Nc1ncc(Cl)cn1']; [0.943677962, 0.943677962]
-CC1(C)Cc2cc(Nc3ncccn3)ccc2O1; [None]; [None]; [0]
-c1cnc(Nc2cccc(-n3nccn3)c2)nc1; ['Clc1ncccn1']; ['Nc1cccc(-n2nccn2)c1']; [0.999567807]
-CO[C@@H]1CC[C@@H](Nc2ncccn2)CC1; [None]; [None]; [0]
-Cc1csc2c(Nc3ncccn3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1ncccn1']; [0.996944487]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](Nc2ncccn2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(Nc3ncccn3)c1)OCOC2; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2ncccn2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['Clc1ncccn1']; [0.997036457]
-CCNC(=O)N1CCC(Nc2ncccn2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
-COc1ccc2oc(Nc3ncccn3)cc2c1; [None]; [None]; [0]
-c1cnc(Nc2ncc3sccc3n2)nc1; [None]; [None]; [0]
-Cc1nc(Nc2ncccn2)c2sccc2n1; [None]; [None]; [0]
-c1cnc(Nc2cc(-c3cccnc3)ccn2)nc1; [None]; [None]; [0]
-Clc1ccc2nc(Nc3ncccn3)ncc2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1ncccn1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2ncccn2)cc1Cl; [None]; [None]; [0]
-COc1ccc2nc(Nc3ncccn3)[nH]c2c1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2ncccn2)cn1; ['CN(C)c1ccc(Br)cn1']; ['Nc1ncccn1']; [0.987772226]
-O=C(Nc1cccc(Nc2ncccn2)c1)N1CCCC1; [None]; [None]; [0]
-Cc1cc(Nc2ncccn2)cc(C)c1OCCO; [None]; [None]; [0]
-O=S1(=O)CCC(Nc2ncccn2)CC1; ['Brc1ncccn1', 'Clc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1']; ['NC1CCS(=O)(=O)CC1', 'NC1CCS(=O)(=O)CC1', 'NC1CCS(=O)(=O)CC1', 'NC1CCS(=O)(=O)CC1']; [0.999946952, 0.999946952, 0.999946952, 0.999946952]
-C[C@H]1CCCN1c1cccc(Nc2ncccn2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(Nc3ncccn3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['Nc1ncccn1']; [0.998302102]
-FC1(F)CCC(Nc2ncccn2)CC1; ['Brc1ncccn1', 'Ic1ncccn1']; ['NC1CCC(F)(F)CC1', 'NC1CCC(F)(F)CC1']; [0.999926448, 0.999926448]
-Cc1cc(N2CCOCC2)ccc1Nc1ncccn1; ['Cc1cc(N2CCOCC2)ccc1N']; ['Clc1ncccn1']; [0.999994636]
-COc1cc(N2CCC(O)CC2)ccc1Nc1ncccn1; ['COc1cc(N2CCC(O)CC2)ccc1N']; ['Ic1ncccn1']; [0.999546349]
-CNC(=O)c1ccc(Nc2ncccn2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['Nc1ncccn1']; [0.958777368]
-C[C@H](CS(C)(=O)=O)Nc1ncccn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ncccn2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2ncccn2)cc1; ['CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(I)cc1']; ['Clc1ncccn1', 'Nc1ncccn1']; [0.994303882, 0.994303882]
-CC(=O)N(C)c1ccc(NC(=O)c2ccccc2)cc1; ['CC(=O)N(C)c1ccc(N)cc1']; ['O=C(O)c1ccccc1']; [0.998920321]
-Cc1ccc(C(=O)NCCO)cc1Nc1ncccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2ncccn2)c1; [None]; [None]; [0]
-O=C(Nc1ccc(N2CCOCC2)cc1)c1ccccc1; ['Nc1ccc(N2CCOCC2)cc1']; ['O=C(O)c1ccccc1']; [0.998381138]
-COc1cccc(N2CCC(NC(=O)c3ccccc3)CC2)c1; ['COc1cccc(Br)c1']; ['O=C(NC1CCNCC1)c1ccccc1']; [0.999658942]
-O=C(Nc1ncc2ccccc2n1)c1ccccc1; ['Clc1ncc2ccccc2n1']; ['NC(=O)c1ccccc1']; [0.955947459]
-O=C(Nc1ccccc1)c1ccccc1; ['Nc1ccccc1', 'O=C=Nc1ccccc1', 'C=CCOC(=O)c1ccccc1']; ['O=C(c1ccccc1)n1ccnc1', 'OB(O)c1ccccc1', 'Nc1ccccc1']; [0.997865, 0.997865, 0.997865]
-O=C(Nc1cccc(NC(=O)C2CC2)c1)c1ccccc1; ['Nc1cccc(NC(=O)c2ccccc2)c1']; ['O=C(O)C1CC1']; [0.997814059]
-O=C([O-])c1ccc(NC(=O)c2ccccc2)cc1; ['Nc1ccc(C(=O)[O-])cc1', 'Nc1ccc(C(=O)[O-])cc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1']; [0.975953043, 0.975953043]
-CC(=O)NCc1ccc(NC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(NC(=O)c2ccccc2)cn1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)N2CCOCC2)cn1)c1ccccc1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)N2CCOCC2)cc1)c1ccccc1; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1']; [0.99999, 0.99999]
-C[C@@H](O)COc1ccc(NC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1']; ['O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1']; [0.999221444, 0.999221444]
-O=C(NC1CCCCC1)c1ccccc1; ['NC1CCCCC1', 'NC1CCCCC1']; ['O=C(O)c1ccccc1', 'O=C(Br)c1ccccc1']; [0.99395752, 0.99395752]
-CS(=O)(=O)N1CCC(NC(=O)c2ccccc2)CC1; ['CS(=O)(=O)Cl', 'CS(=O)(=O)N1CCC(N)CC1']; ['O=C(NC1CCNCC1)c1ccccc1', 'O=C(Cl)c1ccccc1']; [0.999958158, 0.999958158]
-CCNS(=O)(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1']; ['O=C(O)c1ccccc1']; [0.990212142]
-O=C(N[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccccc1; [None]; [None]; [0]
-COc1cc(OC)c(NC(=O)c2ccccc2)cc1Cl; ['COC(=O)c1ccccc1', 'COc1cc(OC)c(Cl)cc1N']; ['COc1cc(OC)c(Cl)cc1N', 'O=Cc1ccccc1']; [0.987364352, 0.987364352]
-CN(C)c1ccc(NC(=O)c2ccccc2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['O=C(O)c1ccccc1']; [0.998654246]
-Cc1c(NC(=O)c2ccccc2)cccc1C(=O)[O-]; [None]; [None]; [0]
-O=C(Nc1cc(-c2ccccc2)[nH]n1)c1ccccc1; ['Nc1cc(-c2ccccc2)[nH]n1']; ['O=C(Cl)c1ccccc1']; [0.989955783]
-Cc1cc(NC(=O)c2ccccc2)sn1; ['Cc1cc(N)sn1']; ['O=C(Cl)c1ccccc1']; [0.999881]
-COc1cccc(C(=O)N2CCC(NC(=O)c3ccccc3)CC2)c1; ['COc1cccc(C(=O)Cl)c1']; ['O=C(NC1CCNCC1)c1ccccc1']; [0.999996066]
-O=C(Nc1cc(N2CCOCC2)ccn1)c1ccccc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CN(C)C(=O)c1ccc(N)cc1']; ['O=Cc1ccccc1']; [0.862149358]
-O=C(Nc1cccnc1Oc1ccccc1)c1ccccc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1NC(=O)c1ccccc1; ['COc1cc(N2CCOCC2)ccc1N']; ['O=C(Cl)c1ccccc1']; [0.999620914]
-[NH3+][C@@H]1CC[C@@H](NC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-COCCNC(=O)c1ccccc1; ['COCCN', 'COCCN']; ['O=C(Cl)c1ccccc1', 'OCc1ccccc1']; [0.999379039, 0.999379039]
-CC(C)(C)c1ccc(NC(=O)c2ccccc2)cn1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(NC(=O)c3ccccc3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1']; ['O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Cl)c1ccccc1']; [0.99939, 0.99939]
-COc1cccc(C(=O)NNC(=O)c2ccccc2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)NN)c1']; ['NNC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1']; [0.995838284, 0.995838284]
-O=C(NC1CCOCC1)c1ccccc1; ['NC1CCOCC1', 'NC1CCOCC1', 'NC1CCOCC1']; ['O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Br)c1ccccc1', 'O=Cc1ccccc1']; [0.999413848, 0.999413848, 0.999413848]
-O=C(Nc1ncc2cccn2n1)c1ccccc1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccccc2)ccc1N1CCOCC1; [None]; [None]; [0]
-O=C(Nc1ccc(N2CCCCC2)cc1)c1ccccc1; ['COC(=O)c1ccccc1', 'Nc1ccc(N2CCCCC2)cc1']; ['Nc1ccc(N2CCCCC2)cc1', 'O=C(O)c1ccccc1']; [0.999757349, 0.999757349]
-O=C(Nc1cc2ccccn2n1)c1ccccc1; [None]; [None]; [0]
-CC1(C)Cc2cc(NC(=O)c3ccccc3)ccc2O1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2nccn2)c1)c1ccccc1; ['Nc1cccc(-n2nccn2)c1']; ['O=C(O)c1ccccc1']; [0.999374]
-Cc1csc2c(NC(=O)c3ccccc3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['NC(=O)c1ccccc1']; [0.999518156]
-O=C(Nc1ncc(Cl)cn1)c1ccccc1; ['Nc1ncc(Cl)cn1']; ['O=C(O)c1ccccc1']; [0.996979892]
-CCNC(=O)N1CCC(NC(=O)c2ccccc2)CC1; ['CCN=C=O']; ['O=C(NC1CCNCC1)c1ccccc1']; [0.999014]
-O=C(Nc1cc(F)cc2c1OCOC2)c1ccccc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](NC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-COc1ccc2oc(NC(=O)c3ccccc3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(NC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(NC(=O)c2ccccc2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['O=C(O)c1ccccc1']; [0.995524406]
-Cc1nc(NC(=O)c2ccccc2)c2sccc2n1; [None]; [None]; [0]
-O=C(Nc1cc(-c2cccnc2)ccn1)c1ccccc1; [None]; [None]; [0]
-O=C(Nc1ncc2sccc2n1)c1ccccc1; [None]; [None]; [0]
-O=C(Nc1ncc2cc(Cl)ccc2n1)c1ccccc1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['C[C@H]1CCCN1']; ['O=C(O)c1ccc(NC(=O)c2ccccc2)cc1']; [0.997692227]
-CC(C)c1nn(C)cc1NC(=O)c1ccccc1; [None]; [None]; [0]
-COc1ccc2nc(NC(=O)c3ccccc3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(NC(=O)N2CCCC2)c1)c1ccccc1; ['Nc1cccc(NC(=O)c2ccccc2)c1']; ['O=C(Cl)N1CCCC1']; [0.974433184]
-O=C(Nc1ccc(C(=O)[O-])c(Cl)c1)c1ccccc1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(NC(=O)c2ccccc2)n1; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccccc2)cc(C)c1OCCO; [None]; [None]; [0]
-O=C(NC1CCC(F)(F)CC1)c1ccccc1; ['NC1CCC(F)(F)CC1']; ['O=C(O)c1ccccc1']; [0.998842537]
-Cn1cc(NC(=O)c2ccccc2)c2ccccc21; [None]; [None]; [0]
-Cc1n[nH]c2cc(NC(=O)c3ccccc3)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1NC(=O)c1ccccc1; ['COC(=O)c1ccccc1']; ['COc1cc(N2CCC(O)CC2)ccc1N']; [0.996393]
-CN(C)c1ccc(NC(=O)c2ccccc2)cn1; [None]; [None]; [0]
-O=C(NC1CCS(=O)(=O)CC1)c1ccccc1; ['NC1CCS(=O)(=O)CC1']; ['O=C(O)c1ccccc1']; [0.999446452]
-CN(C)C(=O)c1ccc(NC(=O)c2ccccc2)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1NC(=O)c1ccccc1; ['Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N']; ['O=C(Cl)c1ccccc1', 'O=Cc1ccccc1']; [0.999605715, 0.999605715]
-CCNC(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccccc1']; [0.969220221]
-CNC(=O)c1ccc(NC(=O)c2ccccc2)c(OC)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1NC(=O)c1ccccc1; ['Cc1ccc(C(=O)O)cc1NC(=O)c1ccccc1']; ['NCCO']; [0.997196436]
-CNC(=O)c1ccc(C)c(NC(=O)c2ccccc2)c1; []; []; []
-Fc1ccc(-c2ncc3ccccc3n2)cc1; ['N=C(N)c1ccc(F)cc1', 'BrCc1ccccc1Br']; ['O=Cc1ccccc1I', 'O=Cc1ccc(F)cc1']; [0.999998927, 0.999998927]
-C[C@H](CS(C)(=O)=O)NC(=O)c1ccccc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccc(F)cc3)CC2)c1; ['COc1cccc(F)c1']; ['Fc1ccc(C2CCNCC2)cc1']; [0.98365]
-O=C(Nc1cccc(-c2ccc(F)cc2)c1)C1CC1; ['Nc1cccc(-c2ccc(F)cc2)c1']; ['O=C(O)C1CC1']; [0.99994421]
-Fc1ccc(-c2ccc(N3CCOCC3)cc2)cc1; ['BrCCOCCBr', 'ClCCOCCCl']; ['Nc1ccc(-c2ccc(F)cc2)cc1', 'Nc1ccc(-c2ccc(F)cc2)cc1']; [0.998809576, 0.998809576]
-O=c1c2ccccc2cnn1-c1ccc(F)cc1; ['Fc1ccc(I)cc1']; ['O=c1[nH]ncc2ccccc12']; [0.994206786]
-CC(=O)N(C)c1ccc(-c2ccc(F)cc2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['OB(O)c1ccc(F)cc1']; [0.999563277]
-Cc1ccc2ncn(-c3ccc(F)cc3)c2c1; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; ['Fc1ccc(Br)cc1', 'Fc1ccc(Br)cc1']; [0.997308731, 0.997308731]
-Fc1ccc(-c2ccccc2)cc1; ['Brc1ccccc1', 'CO[Si](OC)(OC)c1ccccc1', 'Fc1ccc(Br)cc1', 'Fc1ccc(Cl)cc1']; ['OB(O)c1ccc(F)cc1', 'Fc1ccc(I)cc1', 'OB(O)c1ccccc1', 'OB(O)c1ccccc1']; [0.999593675, 0.999593675, 0.999593675, 0.999593675]
-CS(=O)(=O)Nc1ccc(-c2ccc(F)cc2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc(F)cc2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2ccc(F)cc2)cc1)N1CCOCC1; ['C1COCCN1', 'Fc1ccc([Mg]Br)cc1', 'Fc1ccccc1', 'Fc1ccc(Br)cc1']; ['O=C(O)c1ccc(-c2ccc(F)cc2)cc1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccccc1)N1CCOCC1']; [0.997527182, 0.997527182, 0.997527182, 0.997527182]
-Fc1ccc(Cc2ccccc2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2ccc(F)cc2)cc1; ['C[C@@H]1COC(=O)O1']; ['Oc1ccc(-c2ccc(F)cc2)cc1']; [0.913288236]
-O=C([O-])c1ccc(-c2ccc(F)cc2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc(F)cc2)cc1; ['CNC']; ['O=S(=O)(Cl)c1ccc(-c2ccc(F)cc2)cc1']; [0.99941504]
-Fc1ccc(C2CCCCC2)cc1; ['ClC1CCCCC1', 'BrC1CCCCC1', 'Fc1ccc([Mg]Br)cc1']; ['Fc1ccc([Mg]Br)cc1', 'Fc1ccc(Br)cc1', 'IC1CCCCC1']; [0.998759031, 0.998759031, 0.998759031]
-O=C(c1ccc(-c2ccc(F)cc2)nc1)N1CCOCC1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1ccc(F)cc1; ['CN']; ['O=S(=O)(Cl)Cc1ccc(F)cc1']; [0.999673843]
-CS(=O)(=O)N1CCC(c2ccc(F)cc2)CC1; ['CS(=O)(=O)Cl']; ['Fc1ccc(C2CCNCC2)cc1']; [0.99949789]
-Fc1ccc(Cc2cncnc2)cc1; ['Brc1cncnc1']; ['Fc1ccc(CBr)cc1']; [0.971841335]
-O=C(c1ccccc1)N1CC[C@H](c2ccc(F)cc2)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc(F)cc2)cc1; ['CC1(C)OB(c2ccc(F)cc2)OC1(C)C', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['CCNS(=O)(=O)c1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1']; [0.999984, 0.999984]
-Nc1ncc(Cc2ccc(F)cc2)cn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc(F)cc2)cc1Cl; ['COc1ccc(Cl)c(OC)c1']; ['Fc1ccc(Br)cc1']; [0.963604391]
-CN(C)c1ccc(-c2ccc(F)cc2)cc1Cl; ['CN(C)c1ccccc1Cl']; ['Fc1ccc(I)cc1']; [0.921678305]
-Cc1c(C(=O)[O-])cccc1-c1ccc(F)cc1; [None]; [None]; [0]
-Fc1ccc(-c2cc(-c3ccccc3)[nH]n2)cc1; []; []; []
-Fc1ccc(-c2cc(N3CCOCC3)ccn2)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc(F)cc1; ['CC(C)(C)N', 'CC(C)(C)NC(N)=O']; ['O=C=Nc1ccc(F)cc1', 'Fc1ccc(Cl)cc1']; [0.999746859, 0.999746859]
-Cc1cc(-c2ccc(F)cc2)sn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc(F)cc3)CC2)c1; ['COc1cccc(C=O)c1']; ['Fc1ccc(C2CCNCC2)cc1']; [0.997377634]
-CN(C)C(=O)c1ccc(-c2ccc(F)cc2)cc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2ccc(F)cc2)CC1; [None]; [None]; [0]
-Fc1ccc(-c2cccnc2Oc2ccccc2)cc1; ['Fc1ccc([B-](F)(F)F)cc1']; ['c1ccc(Oc2ccccn2)cc1']; [0.945149481]
-COc1cc(N2CCOCC2)ccc1-c1ccc(F)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc(F)cc2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc(F)cc2)c1; ['COc1cccc(C(=O)Cl)c1']; ['Nc1ccc(F)cc1']; [0.999789417]
-Fc1ccc(C2CCOCC2)cc1; ['Fc1ccc(Br)cc1', 'Fc1ccc([Mg]Br)cc1', 'BrC1CCOCC1', 'Br[Mg]C1CCOCC1', 'Fc1ccc(Br)cc1', 'C1=CCOCC1']; ['IC1CCOCC1', 'IC1CCOCC1', 'Fc1ccc([Mg]Br)cc1', 'Fc1ccc(Br)cc1', 'O=C1CCOCC1', 'Fc1ccccc1']; [0.998819649, 0.998819649, 0.998819649, 0.998819649, 0.998819649, 0.998819649]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc(F)cc2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc(F)cc3)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['OB(O)c1ccc(F)cc1']; [0.994181216]
-CCCCCc1ccc(F)cc1; ['CCCCC[Mg]Cl', 'CCCCCBr']; ['Fc1ccc(Br)cc1', 'Fc1ccc(Br)cc1']; [0.996073246, 0.996073246]
-Fc1ccc(CCCn2cncn2)cc1; [None]; [None]; [0]
-CC[NH+](CC)c1ccc(F)cc1; [None]; [None]; [0]
-Fc1ccc(-c2ncc3cccn3n2)cc1; [None]; [None]; [0]
-COc1cc(-c2ccc(F)cc2)ccc1N1CCOCC1; [None]; [None]; [0]
-Fc1ccc(-c2cc3ccccn3n2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2ncc(Cl)cn2)cc1; ['Clc1cnc(Cl)nc1']; ['OB(O)c1ccc(F)cc1']; [0.995818555]
-Fc1ccc(-c2ccc(N3CCCCC3)cc2)cc1; ['Brc1ccc(N2CCCCC2)cc1']; ['Fc1ccc(Br)cc1']; [0.997673094]
-CC1(C)Cc2cc(-c3ccc(F)cc3)ccc2O1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc(F)cc2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(CO)c1', 'COc1ccc(OC)cc1']; ['Fc1ccc(CBr)cc1', 'Fc1ccccc1', 'OCc1ccc(F)cc1']; [0.99961406, 0.99961406, 0.99961406]
-Cc1csc2c(-c3ccc(F)cc3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['OB(O)c1ccc(F)cc1']; [0.999672174]
-Fc1ccc(-c2cccc(-n3nccn3)c2)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(F)cc1)c1ccco1; ['Nc1ccc(F)cc1']; ['O=C(Cl)c1ccco1']; [0.99878794]
-NC(=O)c1ccc(Cc2ccc(F)cc2)cc1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2ccc(F)cc2)cc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc(F)cc2)CC1; ['CCNC(=O)OCC']; ['Fc1ccc(C2CCNCC2)cc1']; [0.967164755]
-Fc1ccc(-c2cc(F)cc3c2OCOC3)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc(F)cc2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc(F)cc3)cc2c1; ['C=Cc1ccc(F)cc1']; ['COc1ccc(O)cc1']; [0.999997616]
-CNC(=O)c1ccc(OC)c(-c2ccc(F)cc2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['OB(O)c1ccc(F)cc1']; [0.999954343]
-C[NH+](C)Cc1ccc(-c2ccc(F)cc2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2cc(-c3cccnc3)ccn2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc(F)cc2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ccc(F)cc2)cc1; ['CC(C)(C)c1ccc(C=O)cc1']; ['Nc1ccc(F)cc1']; [0.97212863]
-Cc1nc(-c2ccc(F)cc2)c2sccc2n1; [None]; [None]; [0]
-Fc1ccc(-c2ncc3cc(Cl)ccc3n2)cc1; ['Nc1ccc(Cl)cc1CO']; ['O=Cc1ccc(F)cc1']; [0.999971747]
-Fc1ccc(-c2ncc3sccc3n2)cc1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccc(F)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc(F)cc3)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1']; ['OCc1ccc(F)cc1', 'O=Cc1ccc(F)cc1']; [0.999887943, 0.999887943]
-CC(C)c1nn(C)cc1-c1ccc(F)cc1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc(F)cc2)cc1; [None]; [None]; [0]
-Fc1ccc(OC(F)(F)F)cc1; []; []; []
-Cn1cc(-c2ccc(F)cc2)c2ccccc21; []; []; []
-O=C(Nc1cccc(-c2ccc(F)cc2)c1)N1CCCC1; ['C1CCNC1', 'Nc1cccc(-c2ccc(F)cc2)c1']; ['Nc1cccc(-c2ccc(F)cc2)c1', 'O=C(Cl)N1CCCC1']; [0.999987483, 0.999987483]
-C[C@H]1CCCN1c1cccc(-c2ccc(F)cc2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc(F)cc3)ccc21; ['CC1(C)OB(c2ccc(F)cc2)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; ['Cn1ncc2cc(Br)ccc21', 'Fc1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1', 'Fc1ccc(Cl)cc1']; [1.0, 1.0, 1.0, 1.0]
-CN(C)c1ccc(-c2ccc(F)cc2)cn1; ['CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['Fc1ccc(Br)cc1', 'OB(O)c1ccc(F)cc1']; [0.99991262, 0.99991262]
-O=C([O-])c1ccc(-c2ccc(F)cc2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2ccc(F)cc2)cc(C)c1OCCO; [None]; [None]; [0]
-C[NH+](C)CCCc1ccc(F)cc1; [None]; [None]; [0]
-Fc1ccc(C2CCC(F)(F)CC2)cc1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc(F)cc3)ccc12; ['CC1(C)OB(c2ccc(F)cc2)OC1(C)C']; ['Cc1n[nH]c2cc(Br)ccc12']; [0.999999404]
-O=S1(=O)CCC(c2ccc(F)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc(F)cc1; [None]; [None]; [0]
-Fc1ccc(CC2CCOCC2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(F)cc2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['OB(O)c1ccc(F)cc1']; [0.999942899]
-CN(C)C(=O)c1ccc(-c2ccc(F)cc2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc(F)cc2)cc1; ['CCN']; ['O=C(O)c1ccc(-c2ccc(F)cc2)cc1']; [0.999908209]
-Cc1cc(N2CCOCC2)ccc1-c1ccc(F)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccc(F)cc2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc(F)cc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1ccc(F)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc(C)[nH]n2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cc(C)[nH]n2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C#N)cc2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['N#Cc1ccc(B(O)O)cc1']; [0.999984384]
-COc1cccc(N2CCC(c3cc(C)[nH]n3)CC2)c1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]nc2C)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; [0.995937]
-Cc1cc(-c2ncc3ccccc3n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cnnn2C)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cccc(S(C)(=O)=O)c2)n[nH]1; ['CS(=O)(=O)c1cccc(B(O)O)c1']; ['Cc1cc(Br)n[nH]1']; [0.999989748]
-COc1ncccc1-c1cc(C)[nH]n1; ['COc1ncccc1B(O)O']; ['Cc1cc(Br)n[nH]1']; [0.98673439]
-Cc1cc(-c2cnn(C)c2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999905229]
-Cc1ccc2ncn(-c3cc(C)[nH]n3)c2c1; [None]; [None]; [0]
-COc1cc(-c2cc(C)[nH]n2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['Cc1cc(Br)n[nH]1']; [0.999886513]
-Cc1cc(-c2cccc(O)c2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['OB(O)c1cccc(O)c1']; [0.998454452]
-Cc1cc(-c2cnc3cccnn23)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cn(C)nc2C)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N3CCOCC3)cc2)n[nH]1; ['C1COCCN1']; ['Cc1cc(-c2ccc(Br)cc2)n[nH]1']; [0.998310089]
-Cc1cc(-c2cccc(NC(=O)C3CC3)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccccc2)n[nH]1; []; []; []
-COc1ccc(-c2cc(C)[nH]n2)cc1; []; []; []
-Cc1cc(Nc2cc(C)[nH]n2)sn1; [None]; [None]; [0]
-Cc1cc(-c2ccc(NS(C)(=O)=O)nc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2nc3ccccc3[nH]2)n[nH]1; ['Cc1cc(C=O)n[nH]1']; ['Nc1ccccc1N']; [0.999480784]
-Cc1cc(Nc2ncccn2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Clc1ncccn1']; [0.996307373]
-Cc1cc(-n2ncc3ccccc3c2=O)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)[O-])cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(N)=O)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cccc(F)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(NC(=O)C2CC2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['O=C(Cl)C1CC1']; [0.999690294]
-Cc1cc(Cc2nccc3ccccc23)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(OCCO)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(Cl)cc2)n[nH]1; []; []; []
-Cc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)n[nH]1; ['Cc1cc(Br)n[nH]1', 'Cc1cc(Cl)n[nH]1']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.999999285, 0.999999285]
-CC(=O)NCc1ccc(-c2cc(C)[nH]n2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cccc(C3CCNCC3)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccncn2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Clc1ccncn1']; [0.990009725]
-Cc1cc(-c2cc(C)n(C)n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Cc2ccccc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(OC[C@H](C)O)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(OC[C@@H](C)O)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(F)(F)F)cc2)n[nH]1; []; []; []
-CNS(=O)(=O)Cc1cc(C)[nH]n1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc(C)[nH]n2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N(C)C)cc2)n[nH]1; []; []; []
-Cc1cc(Cc2ccccc2O)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(S(=O)(=O)N(C)C)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2sc(C)nc2C)n[nH]1; [None]; [None]; [0]
-Cc1cc(Cc2ccncc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(C2CCCCC2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Cc2cncnc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(C2CCN(S(C)(=O)=O)CC2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Cc2cccnc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Cc2cnc(N)nc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(C[C@H](O)CO)n[nH]1; [None]; [None]; [0]
-Cc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cnc(Cl)nc2)n[nH]1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(C)[nH]n2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N(C)C)c(Cl)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cccc(C(=O)[O-])c2C)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cncnc2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['OB(O)c1cncnc1']; [0.998801827]
-Cc1cc(-n2ccnc2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['c1c[nH]cn1']; [0.99896121]
-COc1ccc(Cl)cc1-c1cc(C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cn[nH]c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(Br)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc[nH]2)n[nH]1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(C)[nH]n2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cc(C)[nH]n2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc(N3CCOCC3)ccn2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)CCO3)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cc3ccccc3cn2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cc(C)[nH]n2)sn1; [None]; [None]; [0]
-Cc1cc(-c2cc(-c3ccccc3)[nH]n2)n[nH]1; [None]; [None]; [0]
-COc1cc(-c2cc(C)[nH]n2)ccc1O; []; []; []
-COc1cccc(C(=O)N2CCC(c3cc(C)[nH]n3)CC2)c1; [None]; [None]; [0]
-Cc1cc(Cn2ccnc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(C)[nH]n2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Cc1cc(Br)n[nH]1']; [0.999907851]
-Cc1cc(NC(=O)NC(C)(C)C)n[nH]1; ['CC(C)(C)NC(N)=O']; ['Cc1cc(Cl)n[nH]1']; [0.999950647]
-Cc1cc(-c2scc3c2OCCO3)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cccc3c2OCO3)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cccnc2Oc2ccccc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(F)c(F)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cnc3ccccc3c2)n[nH]1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H]([NH3+])CC2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)N(C)C)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(C)[nH]n2)CC1; [None]; [None]; [0]
-COCCOc1cc(C)[nH]n1; []; []; []
-Cc1cc(-c2ccc(C(C)(C)C)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(OCC2(C)COC2)n[nH]1; ['CC1(CO)COC1']; ['Cc1cc(Cl)n[nH]1']; [0.955589831]
-COc1cccc(C(=O)Nc2cc(C)[nH]n2)c1; ['COC(=O)c1cccc(OC)c1']; ['Cc1cc(N)n[nH]1']; [0.991081059]
-Cc1cc(-c2ccc(C(C)(C)C)nc2)n[nH]1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(C)[nH]n3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cc(C)[nH]n2)nc(N)n1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc(C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](O)CC2)n[nH]1; [None]; [None]; [0]
-Cc1cc(C2CCOCC2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(F)cc2Cl)n[nH]1; [None]; [None]; [0]
-CSc1cccc(-c2cc(C)[nH]n2)c1; [None]; [None]; [0]
-Cc1cc([C@H]2CC[C@@H](O)C2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ncc(Br)cn2)n[nH]1; [None]; [None]; [0]
-Cc1cc([C@H](CO)Cc2ccccc2)n[nH]1; [None]; [None]; [0]
-CCCCCc1cc(C)[nH]n1; []; []; []
-CCc1ccc(-c2cc(C)[nH]n2)cc1; ['CCc1ccc(B(O)O)cc1']; ['Cc1cc(Br)n[nH]1']; [0.999854326]
-COc1ccc(-c2cc(C)[nH]n2)cc1OC; [None]; [None]; [0]
-COc1ccc(CNc2cc(C)[nH]n2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1']; ['Cc1cc(Cl)n[nH]1', 'Cc1cc(N)n[nH]1']; [0.999289036, 0.999289036]
-CC[NH+](CC)c1cc(C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(Cl)cc2Cl)n[nH]1; [None]; [None]; [0]
-Cc1cc(CCCn2cncn2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccsc2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['OB(O)c1ccsc1']; [0.999994636]
-Cc1cc(-c2ncc3cccn3n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cc3ccccn3n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cn(C)nc2C(F)(F)F)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N3CCCCC3)cc2)n[nH]1; ['Brc1ccc(N2CCCCC2)cc1', 'C1CCNCC1']; ['Cc1cc(Cl)n[nH]1', 'Cc1cc(-c2ccc(Br)cc2)n[nH]1']; [0.998717427, 0.998717427]
-COc1cc(-c2cc(C)[nH]n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)CC(C)(C)O3)n[nH]1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(C)[nH]n2)cc1OC; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc(C)[nH]n2)c1; ['Cc1cc(Br)n[nH]1']; ['Cc1cc(C)cc(B(O)O)c1']; [0.999778926]
-Cc1cc(-c2cccc3ccc(O)cc23)n[nH]1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc(C)[nH]n3)c2c1; [None]; [None]; [0]
-Cc1cc(-c2ncnc3c(C)csc23)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ncc(Cl)cn2)n[nH]1; [None]; [None]; [0]
-COc1cc(-c2cc(C)[nH]n2)ccc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cccc(-n3nccn3)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C)n(C)n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2nc(C)c(C)s2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Cc1nc(Br)sc1C']; [0.999979138]
-COc1ccc(OC)c(Cc2cc(C)[nH]n2)c1; [None]; [None]; [0]
-COc1cc(-c2cc(C)[nH]n2)c(OC)cc1Br; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccco2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['O=C(Cl)c1ccco1']; [0.9970752]
-Cc1cc(-c2ccc(C)o2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Cc2ccc(S(=O)(=O)CCO)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Cc2ccc(C(N)=O)cc2)n[nH]1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc(C)[nH]n2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cc(F)cc3c2OCOC3)n[nH]1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc(C)[nH]n2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(C)[nH]n2)c1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(C)[nH]n3)cc2c1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C[NH+](C)C)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccc(C(C)(C)C)cc2)n[nH]1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1']; ['Cc1cc(N)n[nH]1', 'Cc1cc(N)n[nH]1']; [0.999634743, 0.999634743]
-CCn1cc(-c2cc(C)[nH]n2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cc1cc(Cl)n[nH]1']; [0.99680835]
-Cc1cc(-c2ccc3cn[nH]c3c2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999972463]
-CNC(=O)c1ccc(OC)c(-c2cc(C)[nH]n2)c1; [None]; [None]; [0]
-Cc1cc(-c2cc(Br)cn2C)n[nH]1; [None]; [None]; [0]
-Cc1cc(OC(C)C)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cc3ccccc3o2)n[nH]1; [None]; [None]; [0]
-COC(=O)Nc1cc(C)[nH]n1; ['COC(=O)Cl']; ['Cc1cc(N)n[nH]1']; [0.999350965]
-Cc1cc(-c2cc(-c3cccnc3)ccn2)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(C)[nH]n2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['Cc1cc(Cl)n[nH]1']; [0.997637391]
-Cc1nc(-c2cc(C)[nH]n2)c2sccc2n1; [None]; [None]; [0]
-Cc1cc(-c2cn(C)nc2C(C)C)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ncc3cc(Cl)ccc3n2)n[nH]1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(C)[nH]n3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Cc1cc(C=O)n[nH]1']; [0.999215126]
-Cc1cc(-c2cccc(NC(=O)N3CCCC3)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ncc3sccc3n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(OC(F)(F)F)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cscn2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(OC(F)(F)F)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cccc(N3CCC[C@@H]3C)n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cn(C)c3ccccc23)n[nH]1; ['Cc1cc(Cl)n[nH]1']; ['Cn1ccc2ccccc21']; [0.81617856]
-Cc1cc(-c2ccc(C(=O)[O-])c(Cl)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cc(C)c(OCCO)c(C)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C)c(C)n2)n[nH]1; [None]; [None]; [0]
-CCc1cccc(-c2cc(C)[nH]n2)n1; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(cnn3C)c2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999996305]
-Cc1cc(-c2ccc3c(C)n[nH]c3c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cccc(N3CCCC3=O)c2)n[nH]1; ['Cc1cc(-c2cccc(Br)c2)n[nH]1']; ['O=C1CCCN1']; [0.969323277]
-Cc1cc(-c2ccc(N(C)C)nc2)n[nH]1; ['CN(C)c1ccc(Br)cn1']; ['Cc1cc(Br)n[nH]1']; [0.989622235]
-Cc1cc(C2CCC(F)(F)CC2)n[nH]1; [None]; [None]; [0]
-Cc1cc(CCC[NH+](C)C)n[nH]1; [None]; [None]; [0]
-Cc1cc(C2CCS(=O)(=O)CC2)n[nH]1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc(C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(CCO)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(CC2CCOCC2)n[nH]1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc(C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)N(C)C)cc2Cl)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(F)cn2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Fc1ccc(Cl)nc1']; [0.998984396]
-Cc1cc(-c2ccc(N3CCOCC3)cc2C)n[nH]1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(C)[nH]n2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(C)[nH]n2)c(OC)c1; [None]; [None]; [0]
-Cc1cc(Nc2ccccn2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Clc1ccccn1']; [0.997558]
-Cc1cc(OCCC[NH+](C)C)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cc(S(C)(=O)=O)ccc2Cl)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc(C)[nH]n2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc(C(=O)NCCO)ccc2C)n[nH]1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc4nc[nH]c(=O)c4c3)c2c1; ['Cc1ccc2nc[nH]c2c1']; ['O=c1[nH]cnc2ccc(F)cc12']; [0.969708502]
-O=c1[nH]cnc2ccc(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc(N4CCOCC4)cc3)cc12; ['O=c1[nH]cnc2ccc(I)cc12']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999995589]
-O=c1[nH]cnc2ccc(-c3ccccc3)cc12; ['CC1(C)OB(c2ccccc2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12']; ['O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccccc1']; [0.997346401, 0.997346401]
-COc1cccc(N2CCC(c3ccc4nc[nH]c(=O)c4c3)CC2)c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-n3ncc4ccccc4c3=O)cc12; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1)C1CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.999997854, 0.999997854, 0.999997854]
-O=C(c1ccc(-c2ccc3nc[nH]c(=O)c3c2)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Cc3ccccc3)cc12; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999972]
-CNS(=O)(=O)Cc1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(C3CCCCC3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Cc3cncnc3)cc12; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2ccc3nc[nH]c(=O)c3c2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2ccc3nc[nH]c(=O)c3c2)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc3nc[nH]c(=O)c3c2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2ccc3nc[nH]c(=O)c3c2)sn1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cc(-c4ccccc4)[nH]n3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cc(N4CCOCC4)ccn3)cc12; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc4nc[nH]c(=O)c4c3)CC2)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2nc[nH]c(=O)c2c1; ['CC(C)(C)N=C=O']; ['Nc1ccc2nc[nH]c(=O)c2c1']; [0.999931335]
-[NH3+][C@@H]1CC[C@@H](c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(I)cc12']; [0.999978542]
-O=c1[nH]cnc2ccc(-c3cccnc3Oc3ccccc3)cc12; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc3nc[nH]c(=O)c3c2)c1; ['COc1cccc(C(=O)O)c1']; ['Nc1ccc2nc[nH]c(=O)c2c1']; [0.999676228]
-COc1cc(N2CCOCC2)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(C3CCOCC3)cc12; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc4nc[nH]c(=O)c4c3)cc2)CC1; [None]; [None]; [0]
-CCCCCc1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(CCCn3cncn3)cc12; [None]; [None]; [0]
-CC[NH+](CC)c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ncc4cccn4n3)cc12; [None]; [None]; [0]
-COc1cc(-c2ccc3nc[nH]c(=O)c3c2)ccc1N1CCOCC1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cc4ccccn4n3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc(N4CCCCC4)cc3)cc12; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12']; ['O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc(N2CCCCC2)cc1']; [0.999954581, 0.999954581]
-O=c1[nH]cnc2ccc(-c3cccc(-n4nccn4)c3)cc12; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc2O1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ncc(Cl)cn3)cc12; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Cc3ccc(S(=O)(=O)CCO)cc3)cc12; [None]; [None]; [0]
-Cc1csc2c(-c3ccc4nc[nH]c(=O)c4c3)ncnc12; [None]; [None]; [0]
-O=C(Nc1ccc2nc[nH]c(=O)c2c1)c1ccco1; ['Nc1ccc2nc[nH]c(=O)c2c1']; ['O=C(Cl)c1ccco1']; [0.999522]
-NC(=O)c1ccc(Cc2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cc(F)cc4c3OCOC4)cc12; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc4nc[nH]c(=O)c4c3)cc2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ccc3nc[nH]c(=O)c3c2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1']; ['Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1']; [0.999964476, 0.999964476]
-O=c1[nH]cnc2ccc(-c3cc(-c4cccnc4)ccn3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ncc4sccc4n3)cc12; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-Cc1nc(-c2ccc3nc[nH]c(=O)c3c2)c2sccc2n1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(OC(F)(F)F)cc12; []; []; []
-O=C(Nc1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1)N1CCCC1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ncc4cc(Cl)ccc4n3)cc12; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1Cl; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc4nc[nH]c(=O)c4c3)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccc3nc[nH]c(=O)c3c2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999543369]
-Cc1cc(-c2ccc3nc[nH]c(=O)c3c2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1cc(-c2ccc3nc[nH]c(=O)c3c2)c2ccccc21; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc21; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(C3CCC(F)(F)CC3)cc12; [None]; [None]; [0]
-C[NH+](C)CCCc1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(CC3CCOCC3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(C3CCS(=O)(=O)CC3)cc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)c(OC)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999032378]
-CNC(=O)c1ccc(C)c(-c2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc2nc[nH]c(=O)c2c1; ['Cc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(F)ccc1B(O)O']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.998382092, 0.998382092, 0.998382092]
-NC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.999903917, 0.999903917]
-Cn1c(-c2ccc3nc[nH]c(=O)c3c2)nc2ccccc21; [None]; [None]; [0]
-Cc1ccccc1-c1ccc2nc[nH]c(=O)c2c1; ['Cc1ccccc1B(O)O', 'Cc1ccccc1B(O)O']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.999201715, 0.999201715]
-O=c1[nH]cnc2ccc(CCc3ccc(Cl)cc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cn[nH]c3Cl)cc12; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccc3nc[nH]c(=O)c3c2)c[nH]1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc2nc[nH]c(=O)c2c1; ['Cc1ccc2[nH]ncc2c1B(O)O']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999893188]
-O=c1[nH]cnc2ccc(-c3c(Cl)ccc4c3OCO4)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3nnco3)cc12; [None]; [None]; [0]
-COCCCc1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cnc4[nH]ccc4c3)cc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['O=c1[nH]cnc2ccc(I)cc12']; [0.999984503]
-Cc1nnc(-c2ccc3nc[nH]c(=O)c3c2)o1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3nc[nH]c(=O)c3c2)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc(Br)o3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ncc(F)cn3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3nncs3)cc12; [None]; [None]; [0]
-Nc1cc(-c2ccc3nc[nH]c(=O)c3c2)n[nH]1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3[nH]nc4ccc(F)cc34)cc12; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3nc[nH]c(=O)c3c2)c1C; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cccc([O-])c3)cc12; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)cc12; [None]; [None]; [0]
-Cc1cc(-c2ccc3nc[nH]c(=O)c3c2)ccc1C(N)=O; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(OCc3cccc4ccccc34)cc12; ['BrCc1cccc2ccccc12', 'O=c1[nH]cnc2ccc(O)cc12']; ['O=c1[nH]cnc2ccc(O)cc12', 'OCc1cccc2ccccc12']; [0.98561132, 0.98561132]
-O=c1[nH]cnc2ccc(CCc3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(OCc3ccc(F)cc3F)cc12; ['Fc1ccc(CBr)c(F)c1']; ['O=c1[nH]cnc2ccc(O)cc12']; [0.998257935]
-O=c1[nH]cnc2ccc(CCc3ccc(F)cc3F)cc12; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccccc1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1n[nH]cc1N; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2n[nH]cc2N)[nH]1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1n[nH]cc1N; [None]; [None]; [0]
-Cc1cccc(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-Nc1c[nH]nc1C1CCOCC1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
-Nc1c[nH]nc1C1CCCCC1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1n[nH]cc1N; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2n[nH]cc2N)cs1; [None]; [None]; [0]
-Nc1c[nH]nc1[C@@H]1CC[C@@H](CO)OC1; [None]; [None]; [0]
-COc1cnc(-c2n[nH]cc2N)nc1; [None]; [None]; [0]
-C[C@@H](c1n[nH]cc1N)[C@@H](C)O; [None]; [None]; [0]
-CNc1nc(C)c(-c2n[nH]cc2N)s1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3n[nH]cc3N)ccc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3n[nH]cc3N)cc2)cn1; [None]; [None]; [0]
-Nc1c[nH]nc1[C@@H]1CCC[C@H]([NH3+])C1; [None]; [None]; [0]
-CSc1nc(-c2n[nH]cc2N)c[nH]1; [None]; [None]; [0]
-CCCn1cnc(-c2n[nH]cc2N)n1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1csc2ncncc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3n[nH]cc3N)cc2s1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnn2ccccc12; [None]; [None]; [0]
-CC(C)c1oncc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cc[nH]c(=O)c1; [None]; [None]; [0]
-Cn1cc(-c2n[nH]cc2N)c2ccccc21; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(Cl)c(C(=O)[O-])c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1n[nH]cc1N; [None]; [None]; [0]
-CC1(c2n[nH]cc2N)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccn([C@@H2]CO)c(=O)c1; [None]; [None]; [0]
-Nc1c[nH]nc1[C@@H]1CC[C@@H](NC(=O)O)C1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](CO)c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2n[nH]cc2N)CC1; [None]; [None]; [0]
-CSc1nc(C)c(-c2n[nH]cc2N)[nH]1; [None]; [None]; [0]
-Nc1c[nH]nc1CC[NH+]1CCNCC1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1nc[nH]n1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1nncn1C1CC1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1n[nH]cc1N; [None]; [None]; [0]
-Cn1cnnc1-c1n[nH]cc1N; [None]; [None]; [0]
-CCCCc1cc(-c2n[nH]cc2N)nc(N)n1; [None]; [None]; [0]
-CCc1cc(-c2n[nH]cc2N)nc(N)n1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-Nc1c[nH]nc1CCCC[NH3+]; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2n[nH]cc2N)[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2n[nH]cc2N)s1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-Nc1c[nH]nc1CCCNC(=O)c1cccs1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2n[nH]cc2N)c(=O)n1C; [None]; [None]; [0]
-COc1cccc(N2CCC(c3n[nH]cc3N)CC2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-CN(C)c1cc(-c2n[nH]cc2N)cnn1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-n1ncc2ccccc2c1=O; [None]; [None]; [0]
-Cc1ccc2ncn(-c3n[nH]cc3N)c2c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2n[nH]cc2N)cn1; [None]; [None]; [0]
-Nc1c[nH]nc1Cc1ccccc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1Cc1cncnc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2n[nH]cc2N)cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2n[nH]cc2N)CC1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
-CN(C)c1ccc(-c2n[nH]cc2N)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)c(-c2n[nH]cc2N)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2n[nH]cc2N)sn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3n[nH]cc3N)CC2)c1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-Nc1c[nH]nc1[C@@H]1CC[C@@H]([NH3+])CC1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1n[nH]cc1N; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2n[nH]cc2N)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2n[nH]cc2N)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2n[nH]cc2N)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3n[nH]cc3N)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1n[nH]cc1N; [None]; [None]; [0]
-CC[NH+](CC)c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1CCCn1cncn1; [None]; [None]; [0]
-CCCCCc1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cc2ccccn2n1; [None]; [None]; [0]
-COc1cc(-c2n[nH]cc2N)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ncc(Cl)cn1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ncc2cccn2n1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3n[nH]cc3N)ccc2O1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2n[nH]cc2N)c1; [None]; [None]; [0]
-Nc1c[nH]nc1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
-Cc1csc2c(-c3n[nH]cc3N)ncnc12; [None]; [None]; [0]
-Nc1c[nH]nc1NC(=O)c1ccco1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2n[nH]cc2N)CC1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2n[nH]cc2N)cc1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-COc1ccc2oc(-c3n[nH]cc3N)cc2c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2n[nH]cc2N)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2n[nH]cc2N)CC1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2n[nH]cc2N)cc1; [None]; [None]; [0]
-Cc1nc(-c2n[nH]cc2N)c2sccc2n1; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ncc2sccc2n1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1n[nH]cc1N; [None]; [None]; [0]
-COc1ccc2nc(-c3n[nH]cc3N)[nH]c2c1; [None]; [None]; [0]
-Nc1c[nH]nc1OC(F)(F)F; [None]; [None]; [0]
-Nc1c[nH]nc1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2n[nH]cc2N)n1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]cc2N)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3n[nH]cc3N)ccc12; [None]; [None]; [0]
-Nc1c[nH]nc1-c1ccc(C(=O)[O-])c(Cl)c1; [None]; [None]; [0]
-C[NH+](C)CCCc1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1C1CCS(=O)(=O)CC1; [None]; [None]; [0]
-CN(C)c1ccc(-c2n[nH]cc2N)cn1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1n[nH]cc1N; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2n[nH]cc2N)c(Cl)c1; [None]; [None]; [0]
-Nc1c[nH]nc1C1CCC(F)(F)CC1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1n[nH]cc1N; [None]; [None]; [0]
-Nc1c[nH]nc1CC1CCOCC1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2n[nH]cc2N)cc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1n[nH]cc1N; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ccccc3)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccccc1', 'O=Cc1ccccc1']; [0.999040902, 0.999040902]
-CNC(=O)c1ccc(-c2n[nH]cc2N)c(OC)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1n[nH]cc1N; [None]; [None]; [0]
-CCOc1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['CCOc1ccccc1C=O']; ['Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.999400854]
-COC(C)(C)CCc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2n[nH]cc2N)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2nc3cc(Br)cnc3[nH]2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2nc3cc(Br)cnc3[nH]2)c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)Cc1cc(F)cc(F)c1']; [0.999988198]
-CNC(=O)c1ccccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2nc3cc(Br)cnc3[nH]2)C1; [None]; [None]; [0]
-Brc1cnc2[nH]c(C3CCOCC3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)C1CCOCC1']; [0.999868393]
-COc1ccc(F)cc1[C@@H](C)c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cc[nH]n3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cccnc3)nc2c1; ['Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1cccnc1']; [0.993414]
-Brc1cnc2[nH]c(-c3ccnc4ccccc34)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccnc2ccccc12']; [0.999889731]
-Cc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['Cc1cccc(C(=O)O)c1']; ['Nc1cc(Br)cnc1N']; [0.999648571]
-Brc1cnc2[nH]c(-c3ccccc3Br)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccccc1Br']; [0.999355]
-FC(F)(F)c1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1cccc(C(F)(F)F)c1', 'O=Cc1cccc(C(F)(F)F)c1']; [0.999982357, 0.999982357]
-Clc1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccccc1Cl']; [0.999552429]
-Fc1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccccc1F']; [0.999947906]
-N#Cc1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['N#Cc1ccccc1C=O']; ['Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.995254755]
-FC(F)(F)Oc1ccccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1c(F)cccc1F']; [0.999979734]
-Brc1cnc2[nH]c(-c3cnn(Cc4ccccc4)c3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cnn(Cc2ccccc2)c1']; [0.999994516]
-Brc1cnc2[nH]c(-c3ccncn3)nc2c1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['NC(=O)c1ccccc1C(=O)O']; ['Nc1cc(Br)cnc1N']; [0.998956561]
-N[C@H](c1nc2cc(Br)cnc2[nH]1)c1ccco1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2nc3cc(Br)cnc3[nH]2)cs1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cnc(-c4ccccc4)[nH]3)nc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1)c1ccccc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CO1; [None]; [None]; [0]
-OCCn1cc(-c2nc3cc(Br)cnc3[nH]2)cn1; [None]; [None]; [0]
-Brc1cnc2[nH]c(CC3CCCCC3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)CC1CCCCC1']; [0.999991059]
-Brc1cnc2[nH]c(-c3ccc4c(c3)CCC4)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(C3CCCCC3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)C1CCCCC1']; [0.999643683]
-CC(C)C(=O)COc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-COc1cnc(-c2nc3cc(Br)cnc3[nH]2)nc1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cnco3)nc2c1; [None]; [None]; [0]
-Cc1ccc(-c2nc3cc(Br)cnc3[nH]2)c(Br)c1; ['Cc1ccc(C(=O)O)c(Br)c1']; ['Nc1cc(Br)cnc1N']; [0.99994266]
-Cc1nc(C)c(-c2nc3cc(Br)cnc3[nH]2)s1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cnc4ccccn34)nc2c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2nc3cc(Br)cnc3[nH]2)s1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N']; ['O=Cc1c(Cl)cccc1Cl']; [0.998947084]
-Cc1nc(N)sc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
-CC(C)(C)Nc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2nc3cc(Br)cnc3[nH]2)c1; ['Cc1ccc(Cl)c(C(=O)O)c1']; ['Nc1cc(Br)cnc1N']; [0.999561727]
-Brc1cnc2[nH]c(OC3CCCCC3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(NCc3cccnc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['S=C=NCc1cccnc1']; [0.999070764]
-Brc1cnc2[nH]c(-c3cccc(Cn4cncn4)c3)nc2c1; [None]; [None]; [0]
-Clc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1Cl; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cccc(Cl)c1Cl']; [0.999978065]
-Cc1ncc(-c2nc3cc(Br)cnc3[nH]2)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['COc1cccc(C=O)c1']; ['Nc1cc(Br)cnc1N']; [0.999956965]
-CCC(C)(C)c1nc2cc(Br)cnc2[nH]1; ['CCC(C)(C)C(=O)O']; ['Nc1cc(Br)cnc1N']; [0.998911262]
-Nc1nccc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ccc4ccccc4c3)nc2c1; ['Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccc2ccccc2c1']; [0.998825967]
-Brc1cnc2[nH]c(Nc3cccnc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['S=C=Nc1cccnc1']; [0.787962079]
-Brc1cnc2[nH]c(NCCc3c[nH]cn3)nc2c1; [None]; [None]; [0]
-Clc1ccc(-c2nc3cc(Br)cnc3[nH]2)s1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(Cl)s1']; [0.999874592]
-C[C@H](CO)Nc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-O=C(Nc1nc2cc(Br)cnc2[nH]1)c1cccs1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-n3cnc4ccccc43)nc2c1; [None]; [None]; [0]
-CC(C)COc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CCCCc1nc2cc(Br)cnc2[nH]1; ['CCCCC(=O)O', 'CCCCC#N']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; [0.999965072, 0.999965072]
-COC(=O)[C@@H](N)Cc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cncc4ccccc34)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cncc2ccccc12']; [0.999854088]
-O=C([O-])Cc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2)cn1; [None]; [None]; [0]
-Brc1cnc2[nH]c(NCCc3ccccc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['S=C=NCCc1ccccc1']; [0.974932849]
-Cn1ncc2cc(-c3nc4cc(Br)cnc4[nH]3)ccc21; ['Cn1ncc2cc(C(=O)O)ccc21']; ['Nc1cc(Br)cnc1N']; [0.999806464]
-Nc1[nH]nc2cc(-c3nc4cc(Br)cnc4[nH]3)ccc12; [None]; [None]; [0]
-[NH3+]CCCc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CCCn1cnc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Oc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; ['O=Cc1cccc(O)c1', 'O=C(O)c1cccc(O)c1']; [0.999830604, 0.999830604]
-OCc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2nc3cc(Br)cnc3[nH]2)C1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cccs3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cccs1']; [0.995901287]
-Brc1cnc2[nH]c(Nc3ccncc3)nc2c1; [None]; [None]; [0]
-Cn1cc(-c2nc3cc(Br)cnc3[nH]2)cn1; ['Cn1cc(C=O)cn1']; ['Nc1cc(Br)cnc1N']; [0.99982506]
-Cn1cncc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ccco3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccco1']; [0.999421835]
-CC(C)c1oncc1-c1nc2cc(Br)cnc2[nH]1; ['CC(C)c1oncc1C(=O)O']; ['Nc1cc(Br)cnc1N']; [0.999561608]
-CSc1nc(-c2nc3cc(Br)cnc3[nH]2)c[nH]1; [None]; [None]; [0]
-CC(C)Nc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3csc4ncncc34)nc2c1; [None]; [None]; [0]
-N#CCCc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
-Fc1ccc(-c2nc3cc(Br)cnc3[nH]2)c(C(F)(F)F)c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(F)cc1C(F)(F)F']; [0.999998569]
-CCNc1nc2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-Cn1cc(-c2nc3cc(Br)cnc3[nH]2)c2ccccc21; ['Cn1cc(C=O)c2ccccc21', 'Cn1cc(C=O)c2ccccc21']; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.999997854, 0.999997854]
-CC(=O)Nc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['CC(=O)Nc1cccc(C(=O)O)c1']; ['Nc1cc(Br)cnc1N']; [0.999883175]
-FC(F)(F)Oc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CCC(=O)Nc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-C[C@H](c1nc2cc(Br)cnc2[nH]1)C(F)(F)F; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-COc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1Cl; ['COc1ccc(C=O)cc1Cl']; ['Nc1cc(Br)cnc1N']; [0.99999]
-Cc1cc(-c2nc3cc(Br)cnc3[nH]2)no1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cnn4ccccc34)nc2c1; [None]; [None]; [0]
-O=c1cc(-c2nc3cc(Br)cnc3[nH]2)cc[nH]1; [None]; [None]; [0]
-CCCn1cc(-c2nc3cc(Br)cnc3[nH]2)cn1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cnoc3)nc2c1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3nc4cc(Br)cnc4[nH]3)c21; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CCOC(=O)Cc1nc2cc(Br)cnc2[nH]1; ['CCOC(=N)CC(=O)OCC']; ['Nc1cc(Br)cnc1N']; [0.99753052]
-O=c1cc(-c2nc3cc(Br)cnc3[nH]2)ccn1[C@@H2]CO; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-COc1cc(CCc2nc3cc(Br)cnc3[nH]2)cc(OC)c1; ['COc1cc(CCC(=O)O)cc(OC)c1']; ['Nc1cc(Br)cnc1N']; [0.999632716]
-C[S@](=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3c[nH]c4ccccc34)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1c[nH]c2ccccc12']; [0.999952435]
-CCN(CC)c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2nc3cc(Br)cnc3[nH]2)ccc1Cl; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3c[nH]c4cnccc34)nc2c1; ['Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1c[nH]c2cnccc12']; [0.996861219]
-COc1ccncc1Nc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3nc4cc(Br)cnc4[nH]3)cc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cnc4[nH]ccc4c3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cnc2[nH]ccc2c1']; [0.998714924]
-Brc1cnc2[nH]c(Nc3cnc4ccccc4c3)nc2c1; [None]; [None]; [0]
-CC1(c2nc3cc(Br)cnc3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2nc3cc(Br)cnc3[nH]2)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)C1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CNS(=O)(=O)c1ccc(C(=O)O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999772966]
-Brc1cnc2[nH]c(-c3ccc(N4CCOCC4)cc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(N2CCOCC2)cc1']; [0.99998486]
-N#CC[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(-c2nc3cc(Br)cnc3[nH]2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-C[C@H](Nc1nc2cc(Br)cnc2[nH]1)C(C)(C)C; [None]; [None]; [0]
-C[C@H](Nc1nc2cc(Br)cnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-n3ncc4ccccc43)nc2c1; [None]; [None]; [0]
-OCCc1cn(-c2nc3cc(Br)cnc3[nH]2)cn1; [None]; [None]; [0]
-Oc1ncccc1-c1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cccnc1O']; [0.938217044]
-Brc1cnc2[nH]c(-c3nc[nH]n3)nc2c1; [None]; [None]; [0]
-C[C@@H](Nc1nc2cc(Br)cnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
-Oc1ccc2nc(-c3nc4cc(Br)cnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CSc1nc(C)c(-c2nc3cc(Br)cnc3[nH]2)[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ccc(-n4cncn4)cc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(-n2cncn2)cc1']; [0.999998808]
-COc1ccc(-c2nc3cc(Br)cnc3[nH]2)c(OC)c1; ['COc1ccc(C(=O)O)c(OC)c1', 'COc1ccc(C=O)c(OC)c1']; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.999907732, 0.999907732]
-Brc1cnc2[nH]c(Cc3ccncc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)Cc1ccncc1']; [0.999112785]
-Cc1nc[nH]c1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(C(=O)c2ccccc2)cc1']; [0.999221683]
-CC(C)([NH3+])CNc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Cn1cnnc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3nncn3C3CC3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(OC3CCOCC3)nc2c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-n3ccnc3)nc2c1; [None]; [None]; [0]
-O=C(CCc1nc2cc(Br)cnc2[nH]1)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-c2nc3cc(Br)cnc3[nH]2)nc(N)n1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cn(Cc4ccccc4)nn3)nc2c1; [None]; [None]; [0]
-C[C@@H](Nc1nc2cc(Br)cnc2[nH]1)C(C)(C)C; [None]; [None]; [0]
-Nc1ncc(-c2nc3cc(Br)cnc3[nH]2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2nc3cc(Br)cnc3[nH]2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)s1; [None]; [None]; [0]
-Nc1nnc(-c2nc3cc(Br)cnc3[nH]2)s1; [None]; [None]; [0]
-Cc1cncc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3csc(N4CCOCC4)n3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3nc4ccccc4s3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cccc4ccsc34)nc2c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(CC3CCOCC3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)CC1CCOCC1']; [0.999998689]
-CC(=O)Nc1ncc(-c2nc3cc(Br)cnc3[nH]2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2nc3cc(Br)cnc3[nH]2)c(=O)n1C; [None]; [None]; [0]
-Nc1nc(-c2nc3cc(Br)cnc3[nH]2)nc2ccccc12; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ncc4ccccc4n3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cnccc3N3CCOCC3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ncc4cc[nH]c4n3)nc2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3c[nH]c4cccnc34)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(Cc3cccnc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)Cc1cccnc1']; [0.999683142]
-CC(C)(C)CNc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2nc3cc(Br)cnc3[nH]2)c1; ['Cc1cc(C)cc(C(=O)O)c1']; ['Nc1cc(Br)cnc1N']; [0.999825895]
-C[C@@]1(O)CC[C@H](c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-CC(C)(C)Oc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2nc3cc(Br)cnc3[nH]2)c1; ['COc1ccc(OC)c(C(=O)O)c1', 'COc1ccc(OC)c(C=O)c1']; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.999987245, 0.999987245]
-CN(C)c1cc(-c2nc3cc(Br)cnc3[nH]2)cnn1; [None]; [None]; [0]
-N#Cc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['N#Cc1ccc(C(=O)O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999967]
-Brc1cnc2[nH]c(N3CCC(c4nc5ccccc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(N3CC=C(c4c[nH]c5ccccc45)CC3)nc2c1; [None]; [None]; [0]
-CCOc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CCOc1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999961615]
-COc1ncccc1-c1nc2cc(Br)cnc2[nH]1; ['COc1ncccc1C=O']; ['Nc1cc(Br)cnc1N']; [0.999893904]
-COc1cccc(N2CCC(c3nc4cc(Br)cnc4[nH]3)CC2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1nc2cc(Br)cnc2[nH]1; ['Cc1n[nH]cc1C(=O)O', 'Cc1n[nH]cc1C=O']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; [0.99989152, 0.99989152]
-COc1cc(-c2nc3cc(Br)cnc3[nH]2)cc(OC)c1OC; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['CS(=O)(=O)c1cccc(C=O)c1']; ['Nc1cc(Br)cnc1N']; [0.999998808]
-COc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-Cn1nncc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3nc4cc(Br)cnc4[nH]3)c2c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2nc3cc(Br)cnc3[nH]2)sn1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1)C1CC1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3nc4ccccc4[nH]3)nc2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2nc3cc(Br)cnc3[nH]2)cn1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-Brc1cnc2[nH]c(Nc3ncccn3)nc2c1; [None]; [None]; [0]
-Fc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
-O=C(Nc1nc2cc(Br)cnc2[nH]1)C1CC1; [None]; [None]; [0]
-OCCOc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=C(O)c1ccc(OCCO)cc1', 'O=Cc1ccc(OCCO)cc1']; [0.999868274, 0.999868274]
-Brc1cnc2[nH]c(Cc3nccc4ccccc34)nc2c1; [None]; [None]; [0]
-Clc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1']; [0.999583542, 0.999583542]
-CC(=O)NCc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1)N1CCOCC1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cccc(C4CCNCC4)c3)nc2c1; [None]; [None]; [0]
-O=C(c1ccc(-c2nc3cc(Br)cnc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
-Cc1cc(-c2nc3cc(Br)cnc3[nH]2)nn1C; [None]; [None]; [0]
-Brc1cnc2[nH]c(Nc3ccncn3)nc2c1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-Brc1cnc2[nH]c(Cc3ccccc3)nc2c1; ['CCOC(=O)Cc1ccccc1', 'Nc1cc(Br)cnc1N']; ['Nc1cc(Br)cnc1N', 'O=C(O)Cc1ccccc1']; [0.99833703, 0.99833703]
-FC(F)(F)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(C(F)(F)F)cc1']; [0.999997258]
-C[C@@H](O)COc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CN(C)c1ccc(C=O)cc1']; ['Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.998669505]
-CNS(=O)(=O)Cc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Oc1ccccc1Cc1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N']; ['O=C(O)Cc1ccccc1O']; [0.997239351]
-CS(=O)(=O)N1CCC(c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2nc3cc(Br)cnc3[nH]2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2nc3cc(Br)cnc3[nH]2)C1; [None]; [None]; [0]
-Clc1ncc(-c2nc3cc(Br)cnc3[nH]2)cn1; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1cnc(Cl)nc1', 'O=Cc1cnc(Cl)nc1']; [0.999659657, 0.999659657]
-Brc1cnc2[nH]c(Cc3cncnc3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cncnc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cncnc1']; [0.99808073]
-Cc1c(C(=O)[O-])cccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Brc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.999935031, 0.999935031]
-OC[C@@H](O)Cc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-COc1ccc(Cc2nc3cc(Br)cnc3[nH]2)cc1; ['CCOC(=N)Cc1ccc(OC)cc1', 'CCOC(=O)Cc1ccc(OC)cc1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; [0.999976873, 0.999976873]
-COc1ccc(Cl)cc1-c1nc2cc(Br)cnc2[nH]1; ['COc1ccc(Cl)cc1C(=O)O', 'COc1ccc(Cl)cc1C=O']; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.999949, 0.999949]
-Brc1cnc2[nH]c(-c3ccc[nH]3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc[nH]1']; [0.999985218]
-CCNS(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-COc1cc(OC)c(-c2nc3cc(Br)cnc3[nH]2)cc1Cl; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1Cl; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cn[nH]c3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cc(N4CCOCC4)ccn3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ccc4c(c3)CCO4)nc2c1; [None]; [None]; [0]
-Cc1cc(-c2nc3cc(Br)cnc3[nH]2)sn1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cc4ccccc4cn3)nc2c1; [None]; [None]; [0]
-COc1cc(-c2nc3cc(Br)cnc3[nH]2)ccc1O; ['COc1cc(C=O)ccc1O']; ['Nc1cc(Br)cnc1N']; [0.998111725]
-Brc1cnc2[nH]c(-c3cc(-c4ccccc4)[nH]n3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(Cn3ccnc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)Cn1ccnc1']; [0.920728683]
-Brc1cnc2[nH]c(-c3cccc4c3OCO4)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cccc2c1OCO2']; [0.999557078]
-Fc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1F; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(F)c(F)c1']; [0.999964833]
-[NH3+][C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3nc4cc(Br)cnc4[nH]3)CC2)c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cnc4ccccc4c3)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; ['O=Cc1cnc2ccccc2c1', 'O=C(O)c1cnc2ccccc2c1']; [0.999756753, 0.999756753]
-CC(C)(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999962568]
-Brc1cnc2[nH]c(-c3scc4c3OCCO4)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cccnc3Oc3ccccc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cccnc1Oc1ccccc1']; [0.99974066]
-CC(C)(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CC1(COc2nc3cc(Br)cnc3[nH]2)COC1; [None]; [None]; [0]
-COCCOc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2nc3cc(Br)cnc3[nH]2)nc(N)n1; [None]; [None]; [0]
-Fc1ccc(-c2nc3cc(Br)cnc3[nH]2)c(Cl)c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc(F)cc1Cl']; [0.99999845]
-COc1cccc(C(=O)Nc2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
-CSc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['CSc1cccc(C=O)c1']; ['Nc1cc(Br)cnc1N']; [0.999958634]
-O[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CC1; ['Nc1cc(Br)cnc1N', 'CCOC(=O)[C@H]1CC[C@H](O)CC1']; ['O=C(O)[C@H]1CC[C@H](O)CC1', 'Nc1cc(Br)cnc1N']; [0.978201628, 0.978201628]
-Brc1cnc(-c2nc3cc(Br)cnc3[nH]2)nc1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2nc3cc(Br)cnc3[nH]2)C1; [None]; [None]; [0]
-CCCCCc1nc2cc(Br)cnc2[nH]1; ['CCCCCC(=O)O']; ['Nc1cc(Br)cnc1N']; [0.999950171]
-COc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1OC; ['COc1ccc(C(=O)O)cc1OC', 'COc1ccc(C=O)cc1OC']; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.998303652, 0.998303652]
-CCc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CCc1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N']; [0.999900937]
-Brc1cnc2[nH]c(-c3ccsc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccsc1']; [0.999965191]
-CC[NH+](CC)c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Clc1ccc(-c2nc3cc(Br)cnc3[nH]2)c(Cl)c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(Cl)cc1Cl']; [0.999940515]
-COc1ccc(CNc2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ncc4cccn4n3)nc2c1; [None]; [None]; [0]
-COc1cc(-c2nc3cc(Br)cnc3[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-Brc1cnc2[nH]c(CCCn3cncn3)nc2c1; [None]; [None]; [0]
-Cn1cc(-c2nc3cc(Br)cnc3[nH]2)c(C(F)(F)F)n1; ['Cn1cc(C(=O)O)c(C(F)(F)F)n1']; ['Nc1cc(Br)cnc1N']; [0.999989033]
-CC1(C)Cc2cc(-c3nc4cc(Br)cnc4[nH]3)ccc2O1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cc4ccccn4n3)nc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ccc(N4CCCCC4)cc3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(N2CCCCC2)cc1']; [0.999990821]
-COc1ccc2cccc(-c3nc4cc(Br)cnc4[nH]3)c2c1; [None]; [None]; [0]
-COc1cc(-c2nc3cc(Br)cnc3[nH]2)ccc1Cl; ['COc1cc(C(=O)O)ccc1Cl']; ['Nc1cc(Br)cnc1N']; [0.999761879]
-COc1cc(F)c(-c2nc3cc(Br)cnc3[nH]2)cc1OC; [None]; [None]; [0]
-Oc1ccc2cccc(-c3nc4cc(Br)cnc4[nH]3)c2c1; [None]; [None]; [0]
-Cc1csc2c(-c3nc4cc(Br)cnc4[nH]3)ncnc12; [None]; [None]; [0]
-Cc1nc(Nc2nc3cc(Br)cnc3[nH]2)sc1C; [None]; [None]; [0]
-Clc1cnc(-c2nc3cc(Br)cnc3[nH]2)nc1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cccc(-n4nccn4)c3)nc2c1; [None]; [None]; [0]
-Cc1ccc(-c2nc3cc(Br)cnc3[nH]2)o1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
-Cc1cc(Nc2nc3cc(Br)cnc3[nH]2)nn1C; [None]; [None]; [0]
-COc1cc(-c2nc3cc(Br)cnc3[nH]2)c(OC)cc1Br; ['COc1cc(C=O)c(OC)cc1Br']; ['Nc1cc(Br)cnc1N']; [0.99987793]
-NC(=O)c1ccc(Cc2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1nc2cc(Br)cnc2[nH]1)c1ccco1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2nc3cc(Br)cnc3[nH]2)c1; ['COc1cc(OC)cc(C(=O)O)c1', 'COc1cc(C=O)cc(OC)c1']; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.999933362, 0.999933362]
-Fc1cc2c(c(-c3nc4cc(Br)cnc4[nH]3)c1)OCOC2; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3nc4cc(Br)cnc4[nH]3)cc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ccc4cn[nH]c4c3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1ccc2cn[nH]c2c1']; [0.999644041]
-C[NH+](C)Cc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-CC(C)Oc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CCn1cc(-c2nc3cc(Br)cnc3[nH]2)cn1; ['CCn1cc(C=O)cn1']; ['Nc1cc(Br)cnc1N']; [0.999978542]
-Brc1cnc2[nH]c(-c3cc4ccccc4o3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cc2ccccc2o1']; [0.99984026]
-CNC(=O)c1ccc(OC)c(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cc(-c4cccnc4)ccn3)nc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Cc1nc(-c2nc3cc(Br)cnc3[nH]2)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-COC(=O)Nc1nc2cc(Br)cnc2[nH]1; ['COC(=O)N=C(NC(=O)OC)SC']; ['Nc1cc(Br)cnc1N']; [0.995211065]
-Clc1ccc2nc(-c3nc4cc(Br)cnc4[nH]3)ncc2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ncc4sccc4n3)nc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(-c3nc4cc(Br)cnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cscn3)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; ['O=Cc1cscn1', 'O=C(O)c1cscn1']; [0.999941945, 0.999941945]
-C[C@H]1CCCN1C(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccc(OC(F)(F)F)cc1']; [0.999437392]
-O=C([O-])c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1Cl; [None]; [None]; [0]
-CCc1cccc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
-Cc1ccc(-c2nc3cc(Br)cnc3[nH]2)nc1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cn1; [None]; [None]; [0]
-Cc1cc(-c2nc3cc(Br)cnc3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3nc4cc(Br)cnc4[nH]3)ccc12; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
-FC1(F)CCC(c2nc3cc(Br)cnc3[nH]2)CC1; ['Nc1cc(Br)cnc1N']; ['O=C(O)C1CCC(F)(F)CC1']; [0.999808]
-C[NH+](C)CCCc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-OCCc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-O=S1(=O)CCC(c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)c(OC)c1; [None]; [None]; [0]
-Fc1ccc(Nc2nc3cc(Br)cnc3[nH]2)nc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2nc3cc(Br)cnc3[nH]2)c1; ['CS(=O)(=O)c1ccc(Cl)c(C(=O)O)c1']; ['Nc1cc(Br)cnc1N']; [0.999979377]
-CNc1nccc(-c2ccccc2)n1; ['CI']; ['Nc1nccc(-c2ccccc2)n1']; [0.859138]
-Brc1cnc2[nH]c(Nc3ccccn3)nc2c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
-CNc1nccc(CCC(C)(C)OC)n1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccnc(NC)n1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccnc(NC)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccccc2S(=O)(=O)C(C)C)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccccc2-c2nnc(C)[nH]2)n1; [None]; [None]; [0]
-CNc1nccc([C@@H]2C[C@H](O)C2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccccc2P(C)(C)=O)n1; [None]; [None]; [0]
-CNc1nccc(Cc2cc(F)cc(F)c2)n1; [None]; [None]; [0]
-CNc1nccc([C@H](C)c2cc(F)ccc2OC)n1; [None]; [None]; [0]
-CNc1nccc(C2CCOCC2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc[nH]n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccnc2)n1; ['CI']; ['Nc1nccc(-c2cccnc2)n1']; [0.908610046]
-CNc1nccc(-c2ccnc3ccccc23)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(C)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccccc2Cl)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccccc2Br)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccccc2OC(F)(F)F)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccccc2F)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccccc2C(=O)[O-])n1; [None]; [None]; [0]
-CNc1nccc(-c2cnn(Cc3ccccc3)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccccc2C#N)n1; [None]; [None]; [0]
-CNc1nccc(-c2c(F)cccc2F)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccccc2C(N)=O)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccncn2)n1; [None]; [None]; [0]
-CNc1nccc([C@@H](N)c2ccco2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
-CNc1nccc(-c2csc(C(C)(C)C)n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(NC(=O)c3ccccc3)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnn(CCO)c2)n1; [None]; [None]; [0]
-CNc1nccc([C@@H]2CC[C@@H](CO)OC2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3c(c2)CCC3)n1; [None]; [None]; [0]
-CNc1nccc(C2CCCCC2)n1; [None]; [None]; [0]
-CNc1nccc(CC2CCCCC2)n1; [None]; [None]; [0]
-CNc1nccc(OCC(=O)C(C)C)n1; [None]; [None]; [0]
-CNc1nccc(-c2c(C)nc3ccccn23)n1; [None]; [None]; [0]
-CNc1nccc(-c2ncc(OC)cn2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnco2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(C)cc2Br)n1; [None]; [None]; [0]
-CNc1nccc(-c2sc(NC)nc2C)n1; [None]; [None]; [0]
-CNc1nccc(-c2sc(C)nc2C)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-CNc1nccc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
-CNc1nccc(-c2sc(N)nc2C)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
-CNc1nccc(OC2CCCCC2)n1; [None]; [None]; [0]
-CNc1nccc(NC(C)(C)C)n1; [None]; [None]; [0]
-CNc1nccc(NCc2cccnc2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc(C)ccc2Cl)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(Cl)c2Cl)n1; [None]; [None]; [0]
-CCC(C)(C)c1ccnc(NC)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnc(C)[nH]2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3ccccc3c2)n1; ['CN']; ['Clc1nccc(-c2ccc3ccccc3c2)n1']; [0.993719101]
-CNc1nccc(-c2cccc(OC)c2)n1; ['CN', 'CI']; ['COc1cccc(-c2ccnc(Cl)n2)c1', 'COc1cccc(-c2ccnc(N)n2)c1']; [0.998186171, 0.998186171]
-CNc1nccc(-c2ccc(Cl)s2)n1; [None]; [None]; [0]
-CNc1nccc(N[C@H](C)CO)n1; [None]; [None]; [0]
-CNc1nccc(-n2cnc3ccccc32)n1; [None]; [None]; [0]
-CNc1nccc(Nc2cccnc2)n1; [None]; [None]; [0]
-CNc1nccc(OCC(C)C)n1; [None]; [None]; [0]
-CNc1nccc(C[C@H](N)C(=O)OC)n1; [None]; [None]; [0]
-CNc1nccc(NCCc2c[nH]cn2)n1; [None]; [None]; [0]
-CNc1nccc(O[C@H](C)[C@@H](C)O)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
-CNc1nccc(NC(=O)c2cccs2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cncc3ccccc23)n1; [None]; [None]; [0]
-CNc1nccc(NCCc2ccccc2)n1; [None]; [None]; [0]
-CCCCc1ccnc(NC)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3c(N)[nH]nc3c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3c(cnn3C)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(-c3cnn(C)c3)cc2)n1; [None]; [None]; [0]
-CNc1nccc(O[C@@H](C)C[NH+](C)C)n1; [None]; [None]; [0]
-CNc1nccc(CCC[NH3+])n1; [None]; [None]; [0]
-CCCn1cnc(-c2ccnc(NC)n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(CO)c2)n1; [None]; [None]; [0]
-CNc1nccc([C@@H]2CCC[C@H]([NH3+])C2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(O)c2)n1; [None]; [None]; [0]
-CNc1nccc(Nc2ccncc2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccs2)n1; ['CI']; ['Nc1nccc(-c2cccs2)n1']; [0.830347478]
-CNc1nccc(-c2cncn2C)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnn(C)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2c[nH]c(SC)n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccco2)n1; [None]; [None]; [0]
-CNc1nccc(NC(C)C)n1; [None]; [None]; [0]
-CNc1nccc(-c2csc3ncncc23)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnoc2C(C)C)n1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccnc(NC)n3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccnc(NC)n2)cc1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(CCC#N)c2)n1; [None]; [None]; [0]
-CNc1nccc(OC(F)(F)F)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(NC(C)=O)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(F)cc2C(F)(F)F)n1; [None]; [None]; [0]
-CNc1nccc(N2CCC(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cn(C)c3ccccc23)n1; ['CN']; ['Cn1cc(-c2ccnc(Cl)n2)c2ccccc21']; [0.998814]
-CNc1nccc([C@@H](C)C(F)(F)F)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(OC)c(Cl)c2)n1; [None]; [None]; [0]
-CCC(=O)Nc1ccnc(NC)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnoc2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc(C)on2)n1; [None]; [None]; [0]
-CCCn1cc(-c2ccnc(NC)n2)cn1; [None]; [None]; [0]
-CNc1nccc(-c2ccn([C@@H2]CO)c(=O)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc[nH]c(=O)c2)n1; [None]; [None]; [0]
-CNc1nccc(CCc2cc(OC)cc(OC)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc3c2C(=O)CC3)n1; [None]; [None]; [0]
-CNc1nccc(NC(=O)NC(C)(C)C)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(C(C)(C)N)cc2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(Cl)c(C(=O)[O-])c2)n1; [None]; [None]; [0]
-CCOC(=O)Cc1ccnc(NC)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc3c(=O)[nH]ccc3o2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc([S@](C)=O)cc2)n1; [None]; [None]; [0]
-CCN(CC)c1ccnc(NC)n1; [None]; [None]; [0]
-CNc1nccc(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
-CNc1nccc(Nc2cnc3ccccc3c2)n1; [None]; [None]; [0]
-CNc1nccc(Nc2cnccc2OC)n1; [None]; [None]; [0]
-CNc1nccc([C@H](CO)Cc2ccccc2)n1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccnc(NC)n1; [None]; [None]; [0]
-CNc1nccc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
-CNc1nccc(C2(C)CCN(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
-CNc1nccc([C@@H]2CC[C@@H](NC(=O)O)C2)n1; [None]; [None]; [0]
-CNc1nccc([C@@H]2CC[C@@H](CC#N)CC2)n1; [None]; [None]; [0]
-CNc1nccc([C@@H]2CC[C@@H](C#N)CC2)n1; [None]; [None]; [0]
-CNc1nccc([C@@H]2CCCN(C(=O)CC#N)C2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)n1; [None]; [None]; [0]
-CNc1nccc([C@H]2COCC[C@@H]2C#N)n1; [None]; [None]; [0]
-CNc1nccc([C@@H]2CC[C@@H](CCC#N)CC2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(S(=O)(=O)NC)cc2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(S(C)(=O)=O)cc2)n1; [None]; [None]; [0]
-CNc1nccc(-n2ccc(CO)n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc(C)nn2-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CNc1nccc(-n2cnc(CCO)c2)n1; [None]; [None]; [0]
-CNc1nccc(N[C@@H](C)C(C)(C)C)n1; [None]; [None]; [0]
-CNc1nccc(N[C@@H](C)C(C)(C)O)n1; [None]; [None]; [0]
-CNc1nccc(N[C@H](C)C(C)(C)O)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(F)c2C(N)=O)n1; [None]; [None]; [0]
-CNc1nccc(-n2ncc3ccccc32)n1; [None]; [None]; [0]
-CNc1nccc(-n2ncc3c(O)cccc32)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccnc2O)n1; [None]; [None]; [0]
-CNc1nccc(-c2nc[nH]n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
-CNc1nccc(-c2[nH]c(SC)nc2C)n1; [None]; [None]; [0]
-CNc1nccc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
-CNc1nccc(-c2[nH]cnc2C)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(OC)cc2OC)n1; [None]; [None]; [0]
-CNc1nccc(Cc2ccncc2)n1; [None]; [None]; [0]
-CNc1nccc(NCC(C)(C)[NH3+])n1; [None]; [None]; [0]
-CNc1nccc(-c2nncn2C(C)C)n1; [None]; [None]; [0]
-CNc1nccc(-c2nncn2[C@H](C)CO)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(C(=O)c3ccccc3)cc2)n1; [None]; [None]; [0]
-CNc1nccc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
-CNc1nccc(-c2nncn2C)n1; [None]; [None]; [0]
-CNc1nccc(CCC(=O)NCc2ccccn2)n1; [None]; [None]; [0]
-CNc1nccc(-n2ccnc2)n1; [None]; [None]; [0]
-CNc1nccc(N[C@H](C)C(C)(C)C)n1; [None]; [None]; [0]
-CNc1nccc(OC2CCOCC2)n1; [None]; [None]; [0]
-CCc1cc(-c2ccnc(NC)n2)nc(N)n1; [None]; [None]; [0]
-CNc1nccc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ccnc(NC)n2)nc(N)n1; [None]; [None]; [0]
-CNc1nccc(-c2nnc(N)s2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cncc(C)n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnc(N)s2)n1; [None]; [None]; [0]
-CNc1nccc([C@H]2CCCN2C(N)=O)n1; [None]; [None]; [0]
-CNc1nccc(-c2csc(N3CCOCC3)n2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc(NC)n2)s1; [None]; [None]; [0]
-CNc1nccc(CC2CCOCC2)n1; [None]; [None]; [0]
-CNc1nccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
-CNc1nccc(-c2c(F)cccc2OC)n1; [None]; [None]; [0]
-CNc1nccc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnc(NC(C)=O)[nH]2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnccc2N2CCOCC2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cn(C)n(C)c2=O)n1; [None]; [None]; [0]
-CNc1nccc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc(C#N)ccc2OC)n1; [None]; [None]; [0]
-CNc1nccc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
-CNc1nccc(Cc2cccnc2)n1; [None]; [None]; [0]
-CNc1nccc(Cc2ccccc2NS(C)(=O)=O)n1; [None]; [None]; [0]
-CNc1nccc(O[C@@H]2CC[C@H](O)CC2)n1; [None]; [None]; [0]
-CNc1nccc(NCC(C)(C)C)n1; [None]; [None]; [0]
-CNc1nccc([C@H]2CC[C@@](C)(O)CC2)n1; [None]; [None]; [0]
-CNc1nccc(OC(C)(C)C)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc(C)cc(C)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnnc(N(C)C)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc(OC)ccc2OC)n1; [None]; [None]; [0]
-CNc1nccc(N2CC=C(c3c[nH]c4ccccc34)CC2)n1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
-CNc1nccc(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccc4c(N)n[nH]c4c3)CC2)c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(N4CCOCC4)cc3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ncc4ccccc4n3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccccc3)ccc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccc3c(N)n[nH]c3c2)cn1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cccc(NC(=O)C4CC4)c3)ccc12; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(C(=O)N4CCOCC4)cc3)ccc12; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [1.0, 1.0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999999523, 0.999999523]
-Nc1n[nH]c2cc(-c3ccc(C(=O)[O-])cc3)ccc12; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(C(=O)N4CCOCC4)cn3)ccc12; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ccc3c(N)n[nH]c3c2)CC1; [None]; [None]; [0]
-Nc1n[nH]c2cc([C@H]3CCN(C(=O)c4ccccc4)C3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(C3CCCCC3)ccc12; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.973342597]
-Cc1c(C(=O)[O-])cccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc3c(N)n[nH]c3c2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(N)n[nH]c3c2)sn1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cc(N4CCOCC4)ccn3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cc(-c4ccccc4)[nH]n3)ccc12; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc4c(N)n[nH]c4c3)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999998]
-Nc1n[nH]c2cc([C@@H]3CC[C@@H]([NH3+])CC3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cccnc3Oc3ccccc3)ccc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc3c(N)n[nH]c3c2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc4c(N)n[nH]c4c3)cc2)CC1; [None]; [None]; [0]
-COCCc1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(C3CCOCC3)ccc12; [None]; [None]; [0]
-COc1cc(-c2ccc3c(N)n[nH]c3c2)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(N4CCCCC4)cc3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ncc4cccn4n3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cc4ccccn4n3)ccc12; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccc4c(N)n[nH]c4c3)ccc2O1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ncc(Cl)cn3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cccc(-n4nccn4)c3)ccc12; [None]; [None]; [0]
-Cc1csc2c(-c3ccc4c(N)n[nH]c4c3)ncnc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cc(F)cc4c3OCOC4)ccc12; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc3c(N)n[nH]c3c2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc3c(N)n[nH]c3c2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc3c(N)n[nH]c3c2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc4c(N)n[nH]c4c3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cc(-c4cccnc4)ccn3)ccc12; [None]; [None]; [0]
-Cc1nc(-c2ccc3c(N)n[nH]c3c2)c2sccc2n1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ncc4sccc4n3)ccc12; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ncc4cc(Cl)ccc4n3)ccc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cccc(NC(=O)N4CCCC4)c3)ccc12; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc4c(N)n[nH]c4c3)[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(C(=O)[O-])c(Cl)c3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(N)n[nH]c3c2)c2ccccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccc3c(N)n[nH]c3c2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc4c(N)n[nH]c4c3)ccc12; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(N)n[nH]c3c2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999998212]
-Nc1n[nH]c2cc(C3CCC(F)(F)CC3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(C3CCS(=O)(=O)CC3)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999990821]
-CNC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)c(OC)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Cc1ccccc1-c1ccc2c(N)n[nH]c2c1; ['Cc1ccccc1B(O)O']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999734461]
-C[C@H](CS(C)(=O)=O)c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Cn1c(-c2ccc3c(N)n[nH]c3c2)nc2ccccc21; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cn[nH]c3Cl)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-n3ccc(CC(=O)[O-])c3)ccc12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.999993205]
-Cc1ccc2[nH]ncc2c1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3c(Cl)ccc4c3OCO4)ccc12; [None]; [None]; [0]
-COCCCc1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1n[nH]c2cc(CCc3ccc(Cl)cc3)ccc12; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc4c(N)n[nH]c4c3)ccc12; [None]; [None]; [0]
-Cc1nnc(-c2ccc3c(N)n[nH]c3c2)o1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccc3c(N)n[nH]c3c2)c[nH]1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cnc4[nH]ccc4c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ncc(F)cn3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3nnco3)ccc12; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(N)n[nH]c3c2)n[nH]1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3c(N)n[nH]c3c2)n1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(Br)o3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cccc([O-])c3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3[nH]nc4ccc(F)cc34)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3nncs3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(C(=O)NC4CC4)cc3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999999166]
-Cc1cc(-c2ccc3c(N)n[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3c(N)n[nH]c3c2)c1C; [None]; [None]; [0]
-Nc1n[nH]c2cc(OCc3cccc4ccccc34)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(CCc3c[nH]c4ccccc34)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3[nH]cnc3-c3ccc(F)cc3)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(OCc3ccc(F)cc3F)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3cn[nH]c3-c3ccc(Cl)cc3)ccc12; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-c1ccc2nc(-c3cnc4cnccn34)ncc2c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnc4cnccn34)c2c1; ['Brc1cnc2cnccn12']; ['Cc1ccc2nc[nH]c2c1']; [0.988583088]
-Nc1n[nH]c2cc(CCc3ccc(F)cc3F)ccc12; [None]; [None]; [0]
-c1cn2c(-c3ccc(N4CCOCC4)cc3)cnc2cn1; [None]; [None]; [0]
-c1ccc(-c2cnc3cnccn23)cc1; ['Brc1ccccc1']; ['c1cn2ccnc2cn1']; [0.999960661]
-O=c1c2ccccc2cnn1-c1cnc2cnccn12; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cnc4cnccn34)CC2)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnc3cnccn23)c1)C1CC1; [None]; [None]; [0]
-c1ccc(Cc2cnc3cnccn23)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnc3cnccn23)cn1; [None]; [None]; [0]
-O=C(c1ccc(-c2cnc3cnccn23)nc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['CN(C)S(=O)(=O)c1ccc(Br)cc1']; [0.999079585]
-CNS(=O)(=O)Cc1cnc2cnccn12; [None]; [None]; [0]
-O=C(c1ccc(-c2cnc3cnccn23)cc1)N1CCOCC1; ['Brc1cnc2cnccn12']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.999997258]
-C[C@@H](O)COc1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cnc3cnccn23)CC1; [None]; [None]; [0]
-c1cn2c(Cc3cncnc3)cnc2cn1; [None]; [None]; [0]
-c1cn2c(C3CCCCC3)cnc2cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cnc3cnccn23)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3cnccn23)cc1Cl; [None]; [None]; [0]
-Nc1ncc(Cc2cnc3cnccn23)cn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnc3cnccn23)cc1Cl; [None]; [None]; [0]
-c1cn2c(-c3cc(N4CCOCC4)ccn3)cnc2cn1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cnc2cnccn12; [None]; [None]; [0]
-Cc1cc(-c2cnc3cnccn23)sn1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cnc4cnccn34)n[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnc2cnccn12; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cnc4cnccn34)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cnc3cnccn23)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3cnccn23)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnc3cnccn23)CC1; [None]; [None]; [0]
-c1cn2c(C3CCOCC3)cnc2cn1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnc4cnccn34)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['c1cn2ccnc2cn1']; [0.999814689]
-COc1cccc(C(=O)Nc2cnc3cnccn23)c1; [None]; [None]; [0]
-c1cn2c(CCCn3cncn3)cnc2cn1; [None]; [None]; [0]
-CCCCCc1cnc2cnccn12; [None]; [None]; [0]
-CC[NH+](CC)c1cnc2cnccn12; [None]; [None]; [0]
-c1cc2cnc(-c3cnc4cnccn34)nn2c1; [None]; [None]; [0]
-c1ccn2nc(-c3cnc4cnccn34)cc2c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cnc4cnccn34)ccc2O1; [None]; [None]; [0]
-COc1cc(-c2cnc3cnccn23)ccc1N1CCOCC1; [None]; [None]; [0]
-Clc1cnc(-c2cnc3cnccn23)nc1; [None]; [None]; [0]
-c1cn2c(-c3ccc(N4CCCCC4)cc3)cnc2cn1; ['Brc1cnc2cnccn12']; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C']; [1.0]
-Cc1csc2c(-c3cnc4cnccn34)ncnc12; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc3cnccn23)c1; [None]; [None]; [0]
-c1cc(-c2cnc3cnccn23)cc(-n2nccn2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnc3cnccn23)cc1; [None]; [None]; [0]
-O=C(Nc1cnc2cnccn12)c1ccco1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cnc3cnccn23)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnc3cnccn23)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cnc4cnccn34)c1)OCOC2; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnc3cnccn23)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnc3cnccn23)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cnc4cnccn34)cc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cnc4cnccn34)c2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnc3cnccn23)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnc3cnccn23)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnc2cnccn12; [None]; [None]; [0]
-c1cn2c(-c3ncc4sccc4n3)cnc2cn1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnc2cnccn12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-Cc1nc(-c2cnc3cnccn23)c2sccc2n1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnc3cnccn23)c1)N1CCCC1; [None]; [None]; [0]
-FC(F)(F)Oc1cnc2cnccn12; [None]; [None]; [0]
-Clc1ccc2nc(-c3cnc4cnccn34)ncc2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnc3cnccn23)cc1Cl; [None]; [None]; [0]
-COc1ccc2nc(-c3cnc4cnccn34)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cnc3cnccn23)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3cnccn23)cn1; ['Brc1cnc2cnccn12', 'CN(C)c1ccc(Br)cn1']; ['CN(C)c1ccc(B(O)O)cn1', 'c1cn2ccnc2cn1']; [0.999990344, 0.999990344]
-Cn1cc(-c2cnc3cnccn23)c2ccccc21; [None]; [None]; [0]
-Cc1cc(-c2cnc3cnccn23)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc4cnccn34)ccc21; ['Cn1ncc2cc(Br)ccc21']; ['c1cn2ccnc2cn1']; [0.999975681]
-Cc1n[nH]c2cc(-c3cnc4cnccn34)ccc12; [None]; [None]; [0]
-FC1(F)CCC(c2cnc3cnccn23)CC1; [None]; [None]; [0]
-C[NH+](C)CCCc1cnc2cnccn12; [None]; [None]; [0]
-O=S1(=O)CCC(c2cnc3cnccn23)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
-c1cn2c(CC3CCOCC3)cnc2cn1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3cnccn23)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['CCNC(=O)c1ccc(B(O)O)cc1']; [0.999981642]
-CNC(=O)c1ccc(-c2cnc3cnccn23)c(OC)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cnc2cnccn12; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'Cc1cc(F)ccc1Cl']; ['Cc1cc(F)ccc1B(O)O', 'c1cn2ccnc2cn1']; [0.999983788, 0.999983788]
-Cc1ccc(C(=O)NCCO)cc1-c1cnc2cnccn12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnc3cnccn23)c1; [None]; [None]; [0]
-Cc1ccccc1-c1cnc2cnccn12; ['Cc1ccccc1Br', 'Cc1ccccc1I']; ['c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999412894, 0.999412894]
-NC(=O)c1ccc(-c2cnc3cnccn23)c(F)c1; [None]; [None]; [0]
-Cn1c(-c2cnc3cnccn23)nc2ccccc21; [None]; [None]; [0]
-Clc1ccc(CCc2cnc3cnccn23)cc1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1cnc2cnccn12; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2cnc3cnccn23)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnc2cnccn12; ['Brc1cnc2cnccn12']; ['Cc1ccc2[nH]ncc2c1B(O)O']; [0.99973315]
-NC(=O)c1cc(-c2cnc3cnccn23)c[nH]1; [None]; [None]; [0]
-COCCCc1cnc2cnccn12; [None]; [None]; [0]
-c1cn2c(-c3nnco3)cnc2cn1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cnc3cnccn13)OCO2; [None]; [None]; [0]
-CNc1nccc(-c2cnc3cnccn23)n1; [None]; [None]; [0]
-Cc1nnc(-c2cnc3cnccn23)o1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnc4cnccn34)ccc12; [None]; [None]; [0]
-Fc1cnc(-c2cnc3cnccn23)nc1; [None]; [None]; [0]
-c1cn2c(-c3cnc4[nH]ccc4c3)cnc2cn1; ['Brc1cnc2cnccn12']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; [0.999999404]
-Brc1ccc(-c2cnc3cnccn23)o1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnc2cnccn12; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnc2cnccn12; [None]; [None]; [0]
-Nc1cc(-c2cnc3cnccn23)n[nH]1; [None]; [None]; [0]
-[O-]c1cccc(-c2cnc3cnccn23)c1; [None]; [None]; [0]
-c1cn2c(-c3nncs3)cnc2cn1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C']; [0.999999881]
-Cc1n[nH]c(-c2cnc3cnccn23)c1C; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cnc4cnccn34)c2c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnc2cnccn12; [None]; [None]; [0]
-c1ccc2c(CCc3cnc4cnccn34)c[nH]c2c1; [None]; [None]; [0]
-Cc1cc(-c2cnc3cnccn23)ccc1C(N)=O; [None]; [None]; [0]
-c1ccc2c(COc3cnc4cnccn34)cccc2c1; ['Brc1cnc2cnccn12']; ['OCc1cccc2ccccc12']; [0.924115241]
-Clc1ccc(-c2[nH]ncc2-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C#N)cc2)n[nH]1; ['Cc1cc(Cl)n[nH]1']; ['N#Cc1ccc(N)cc1']; [0.999771535]
-Fc1ccc(COc2cnc3cnccn23)c(F)c1; ['Brc1cnc2cnccn12']; ['OCc1ccc(F)cc1F']; [0.999969959]
-Fc1ccc(CCc2cnc3cnccn23)c(F)c1; [None]; [None]; [0]
-Cc1cc(Nc2ncc3ccccc3n2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Clc1ncc2ccccc2n1']; [0.999953151]
-CCOc1ccc(Nc2cc(C)[nH]n2)cc1; ['CCOc1ccc(N)cc1']; ['Cc1cc(Br)n[nH]1']; [0.994854271]
-CC(=O)N(C)c1ccc(Nc2cc(C)[nH]n2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2c[nH]nc2C)n[nH]1; [None]; [None]; [0]
-COc1ncccc1Nc1cc(C)[nH]n1; ['COc1ncccc1Br']; ['Cc1cc(N)n[nH]1']; [0.999653]
-COc1cc(Nc2cc(C)[nH]n2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC']; ['Cc1cc(N)n[nH]1']; [0.988611281]
-COc1cccc(N2CCC(Nc3cc(C)[nH]n3)CC2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(S(C)(=O)=O)c2)n[nH]1; ['CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(N)c1']; ['Cc1cc(Br)n[nH]1', 'Cc1cc(N)n[nH]1', 'Cc1cc(Cl)n[nH]1']; [0.99979347, 0.99979347, 0.99979347]
-Cc1cc(Nc2cnnn2C)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cnn(C)c2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Cn1cc(Br)cn1']; [0.999334514]
-Cc1cc(Nc2cnc3cccnn23)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(O)c2)n[nH]1; ['Cc1cc(Cl)n[nH]1']; ['Nc1cccc(O)c1']; [0.976514161]
-Cc1cc(Nc2ccc(N3CCOCC3)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cn(C)nc2C)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Cc1nn(C)cc1Br']; [0.998938382]
-COc1ccc(Nc2cc(C)[nH]n2)cc1; ['COc1ccc(Br)cc1', 'COc1ccc(F)cc1']; ['Cc1cc(N)n[nH]1', 'Cc1cc(N)n[nH]1']; [0.9431867, 0.9431867]
-Cc1cc(Nc2cccc(NC(=O)C3CC3)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccccc2)n[nH]1; ['Cc1cc(Br)n[nH]1', 'Brc1ccccc1']; ['Nc1ccccc1', 'Cc1cc(N)n[nH]1']; [0.9926126, 0.9926126]
-Cc1cc(Nc2ccc(C(N)=O)cc2)n[nH]1; ['Cc1cc(Cl)n[nH]1', 'Cc1cc(N)n[nH]1']; ['NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.999166608, 0.999166608]
-Cc1cc(Nc2nc3ccccc3[nH]2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(NS(C)(=O)=O)nc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(NCc2nccc3ccccc23)n[nH]1; ['Cc1cc(Cl)n[nH]1']; ['NCc1nccc2ccccc12']; [0.999823749]
-Cc1cc(Nc2ccc(C(=O)[O-])cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(NNc2ncccn2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(F)c2)n[nH]1; ['Cc1cc(Br)n[nH]1', 'Cc1cc(N)n[nH]1']; ['Nc1cccc(F)c1', 'Fc1cccc(Br)c1']; [0.99917078, 0.99917078]
-Cc1cc(NCCCO)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['NCCCO']; [0.997361839]
-Cc1cc(Nc2ccc(C(=O)Nc3ccccc3)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(OCCO)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(Cl)cc2)n[nH]1; ['Cc1cc(N)n[nH]1', 'Cc1cc(Cl)n[nH]1', 'Cc1cc(Br)n[nH]1', 'Cc1cc(N)n[nH]1', 'Cc1cc(N)n[nH]1']; ['OB(O)c1ccc(Cl)cc1', 'Nc1ccc(Cl)cc1', 'Nc1ccc(Cl)cc1', 'Clc1ccc(Br)cc1', 'Fc1ccc(Cl)cc1']; [0.993352056, 0.993352056, 0.993352056, 0.993352056, 0.993352056]
-Cc1cc(Nc2cccc(C3CCNCC3)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(=O)N3CCOCC3)cc2)n[nH]1; ['Cc1cc(Cl)n[nH]1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1']; [0.999991655]
-Cc1cc(Nc2ccc(OC[C@H](C)O)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(OC[C@@H](C)O)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2cc(C)[nH]n2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(F)(F)F)cc2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['FC(F)(F)c1ccc(Br)cc1']; [0.82710433]
-Cc1cc(Nc2ccc(N(C)C)cc2)n[nH]1; ['CN(C)c1ccc(Br)cc1']; ['Cc1cc(N)n[nH]1']; [0.978497505]
-Cc1cc(Nc2ccc(C(=O)N3CCOCC3)cn2)n[nH]1; [None]; [None]; [0]
-Cc1cc(NC2CCCCC2)n[nH]1; ['Cc1cc(Br)n[nH]1', 'Cc1cc(Cl)n[nH]1']; ['NC1CCCCC1', 'NC1CCCCC1']; [0.99967289, 0.99967289]
-Cc1cc(Nc2sc(C)nc2C)n[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2cc(C)[nH]n2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['Cc1cc(Cl)n[nH]1']; [0.99883765]
-Cc1cc(Nc2ccc(S(=O)(=O)N(C)C)cc2)n[nH]1; ['CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Cc1cc(N)n[nH]1']; [0.966546953]
-Cc1cc(Nc2cnc(Cl)nc2)n[nH]1; ['Cc1cc(Cl)n[nH]1']; ['Nc1cnc(Cl)nc1']; [0.999362171]
-Cc1cc(N[C@H]2CCN(C(=O)c3ccccc3)C2)n[nH]1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(Nc2cc(C)[nH]n2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1']; ['Cc1cc(Cl)n[nH]1']; [0.99776113]
-Cc1cc(NC2CCN(S(C)(=O)=O)CC2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N(C)C)c(Cl)c2)n[nH]1; ['CN(C)c1ccc(N)cc1Cl']; ['Cc1cc(Br)n[nH]1']; [0.999677658]
-Cc1cc(Nc2cncnc2)n[nH]1; ['Brc1cncnc1']; ['Cc1cc(N)n[nH]1']; [0.913533509]
-Cc1cc(Nc2cccc(C(=O)[O-])c2C)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(Br)cc2)n[nH]1; ['Brc1ccc(Br)cc1']; ['Cc1cc(N)n[nH]1']; [0.845729828]
-COc1ccc(Cl)cc1Nc1cc(C)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2c[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cn[nH]c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc[nH]2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc3c(c2)CCO3)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['Nc1ccc2c(c1)CCO2']; [0.99939]
-Cc1cc(Nc2cc(N3CCOCC3)ccn2)n[nH]1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2cc(C)[nH]n2)cc1Cl; [None]; [None]; [0]
-Cc1cc(Nc2cc3ccccc3cn2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Clc1cc2ccccc2cn1']; [0.996386766]
-CC(=O)Nc1cccc(Nc2cc(C)[nH]n2)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Cc1cc(N)n[nH]1', 'Cc1cc(Br)n[nH]1', 'Cc1cc(N)n[nH]1']; [0.998199046, 0.998199046, 0.998199046]
-Cc1cc(Nc2cc(-c3ccccc3)[nH]n2)n[nH]1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3cc(C)[nH]n3)CC2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cccc3c2OCO3)n[nH]1; [None]; [None]; [0]
-COc1cc(Nc2cc(C)[nH]n2)ccc1O; [None]; [None]; [0]
-Cc1cc(Nc2ccc(F)c(F)c2)n[nH]1; ['Cc1cc(Cl)n[nH]1', 'Cc1cc(N)n[nH]1', 'Cc1cc(Br)n[nH]1']; ['Nc1ccc(F)c(F)c1', 'OB(O)c1ccc(F)c(F)c1', 'Nc1ccc(F)c(F)c1']; [0.999479711, 0.999479711, 0.999479711]
-Cc1cc(Nc2scc3c2OCCO3)n[nH]1; [None]; [None]; [0]
-Cc1cc(N[C@@H]2CC[C@@H]([NH3+])CC2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cnc3ccccc3c2)n[nH]1; ['Cc1cc(Cl)n[nH]1']; ['Nc1cnc2ccccc2c1']; [0.998233795]
-Cc1cc(Nc2cccnc2Oc2ccccc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(C)(C)C)cc2)n[nH]1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Cc1cc(Br)n[nH]1', 'Cc1cc(N)n[nH]1']; [0.999477208, 0.999477208]
-Cc1cc(Nc2ccc(C(=O)N(C)C)cc2)n[nH]1; ['CN(C)C(=O)c1ccc(Br)cc1']; ['Cc1cc(N)n[nH]1']; [0.976657152]
-CC(=O)N[C@@H]1CC[C@@H](Nc2cc(C)[nH]n2)CC1; [None]; [None]; [0]
-COCCNc1cc(C)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(C)(C)C)nc2)n[nH]1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1cc(C)[nH]n1; [None]; [None]; [0]
-COc1cccc(C(=O)NNc2cc(C)[nH]n2)c1; ['COc1cccc(C(=O)NN)c1']; ['Cc1cc(Cl)n[nH]1']; [0.99856323]
-Cc1cc(Nc2cc(C)[nH]n2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Cc1cc(N)n[nH]1']; [0.99719584]
-CCN1CCN(Cc2ccc(Nc3cc(C)[nH]n3)cc2)CC1; [None]; [None]; [0]
-CC[C@@H](CO)Nc1cc(C)[nH]n1; ['CC[C@H](N)CO']; ['Cc1cc(Cl)n[nH]1']; [0.928715944]
-Cc1cc(Nc2ccco2)n[nH]1; [None]; [None]; [0]
-Cc1cc(N[C@@H]2CC[C@@H](O)CC2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['N[C@H]1CC[C@H](O)CC1']; [0.999783576]
-CSc1cccc(Nc2cc(C)[nH]n2)c1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(F)cc2Cl)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['Nc1ccc(F)cc1Cl']; [0.999797285]
-COc1ccc(Nc2cc(C)[nH]n2)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC']; ['Cc1cc(N)n[nH]1', 'Cc1cc(Cl)n[nH]1', 'Cc1cc(Br)n[nH]1']; [0.999845505, 0.999845505, 0.999845505]
-Cc1cc(N[C@H]2CC[C@@H](O)C2)n[nH]1; [None]; [None]; [0]
-Cc1cc(NC2CCOCC2)n[nH]1; ['Cc1cc(Br)n[nH]1', 'Cc1cc(N)n[nH]1']; ['NC1CCOCC1', 'O=C1CCOCC1']; [0.999926567, 0.999926567]
-CCc1ccc(Nc2cc(C)[nH]n2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(Br)cc1']; ['Cc1cc(Br)n[nH]1', 'Cc1cc(N)n[nH]1']; [0.992301583, 0.992301583]
-Cc1cc(Nc2ncc(Br)cn2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccsc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ncc3cccn3n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cn(C)nc2C(F)(F)F)n[nH]1; ['Cc1cc(N)n[nH]1', 'Cc1cc(N)n[nH]1']; ['Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1']; [0.999873161, 0.999873161]
-Cc1cc(Nc2cc3ccccn3n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(Cl)cc2Cl)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['Nc1ccc(Cl)cc1Cl']; [0.999695182]
-Cc1cc(Nc2ccc(N3CCCCC3)cc2)n[nH]1; ['Cc1cc(Cl)n[nH]1', 'Cc1cc(Br)n[nH]1']; ['Nc1ccc(N2CCCCC2)cc1', 'Nc1ccc(N2CCCCC2)cc1']; [0.999953151, 0.999953151]
-COc1cc(Nc2cc(C)[nH]n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cc(Nc2ccc3c(c2)CC(C)(C)O3)n[nH]1; [None]; [None]; [0]
-Cc1cc(C)cc(Nc2cc(C)[nH]n2)c1; ['Cc1cc(C)cc(N)c1']; ['Cc1cc(Cl)n[nH]1']; [0.999898076]
-COc1cc(F)c(Nc2cc(C)[nH]n2)cc1OC; ['COc1cc(F)c(F)cc1OC']; ['Cc1cc(N)n[nH]1']; [0.998993814]
-Cc1cc(Nc2cccc3ccc(O)cc23)n[nH]1; ['Cc1cc(Cl)n[nH]1']; ['Nc1cccc2ccc(O)cc12']; [0.997267842]
-Cc1cc(Nc2ncnc3c(C)csc23)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Cc1csc2c(Cl)ncnc12']; [0.999982595]
-COc1ccc2cccc(Nc3cc(C)[nH]n3)c2c1; [None]; [None]; [0]
-COc1cc(Nc2cc(C)[nH]n2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cc(N)ccc1Cl']; ['Cc1cc(N)n[nH]1', 'Cc1cc(N)n[nH]1', 'Cc1cc(Cl)n[nH]1']; [0.999600232, 0.999600232, 0.999600232]
-COc1cc(Nc2cc(C)[nH]n2)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['Cc1cc(N)n[nH]1']; [0.93467319]
-Cc1cc(Nc2cccc(-n3nccn3)c2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['Nc1cccc(-n2nccn2)c1']; [0.999997497]
-Cc1cc(Nc2ncc(Cl)cn2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['Clc1cnc(Cl)nc1']; [0.998597443]
-Cc1cc(Nc2cc(F)cc3c2OCOC3)n[nH]1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2cc(C)[nH]n2)CC1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C)o2)n[nH]1; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2cc(C)[nH]n2)CC1; ['CCNC(=O)N1CCC(N)CC1']; ['Cc1cc(Cl)n[nH]1']; [0.999258]
-COc1ccc2oc(Nc3cc(C)[nH]n3)cc2c1; [None]; [None]; [0]
-COc1cc(Nc2cc(C)[nH]n2)cc(OC)c1; ['COc1cc(N)cc(OC)c1']; ['Cc1cc(Br)n[nH]1']; [0.994540632]
-Cc1cc(N[C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2cc(C)[nH]n2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['Cc1cc(Cl)n[nH]1']; [0.999644399]
-Cc1cc(Nc2ccc3cn[nH]c3c2)n[nH]1; ['Cc1cc(Cl)n[nH]1', 'Cc1cc(Br)n[nH]1', 'Brc1ccc2cn[nH]c2c1']; ['Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Cc1cc(N)n[nH]1']; [0.999856353, 0.999856353, 0.999856353]
-Cc1cc(Nc2ccc(C[NH+](C)C)cc2)n[nH]1; [None]; [None]; [0]
-Cc1nc(Nc2cc(C)[nH]n2)c2sccc2n1; [None]; [None]; [0]
-Cc1cc(Nc2cc(-c3cccnc3)ccn2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cn(C)nc2C(C)C)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2cc(C)[nH]n2)cc1; ['CNC(=O)c1ccc(Br)cc1']; ['Cc1cc(N)n[nH]1']; [0.902648747]
-Cc1cc(Nc2cc3ccccc3o2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(NC(=O)N3CCCC3)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ncc3cc(Cl)ccc3n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ncc3sccc3n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(=O)N3CCC[C@@H]3C)cc2)n[nH]1; [None]; [None]; [0]
-COc1ccc2nc(Nc3cc(C)[nH]n3)[nH]c2c1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(OC(F)(F)F)cc2)n[nH]1; ['Cc1cc(Br)n[nH]1', 'Cc1cc(N)n[nH]1']; ['Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; [0.999930859, 0.999930859]
-Cc1cc(Nc2cscn2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cn(C)c3ccccc23)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C(=O)[O-])c(Cl)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(N3CCC[C@@H]3C)n2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(C)c(C)n2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['Cc1ccc(N)nc1C']; [0.908786]
-CCc1cccc(Nc2cc(C)[nH]n2)n1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C)c(OCCO)c(C)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc3c(C)n[nH]c3c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N(C)C)nc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(NC2CCS(=O)(=O)CC2)n[nH]1; ['Cc1cc(Cl)n[nH]1']; ['NC1CCS(=O)(=O)CC1']; [0.999868751]
-Cc1cc(Nc2cccc(N3CCCC3=O)c2)n[nH]1; ['Cc1cc(Cl)n[nH]1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.999899626]
-Cc1cc(NC2CCC(F)(F)CC2)n[nH]1; ['Cc1cc(Br)n[nH]1']; ['NC1CCC(F)(F)CC1']; [0.999899864]
-Cc1cc(Nc2ccc(CCO)cc2)n[nH]1; ['Cc1cc(N)n[nH]1']; ['OCCc1ccc(Br)cc1']; [0.968798935]
-Cc1cc(Nc2ccc(C(=O)N(C)C)cc2Cl)n[nH]1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N3CCOCC3)cc2C)n[nH]1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1Nc1cc(C)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2cc(C)[nH]n2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2cc(C)[nH]n2)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['Cc1cc(Cl)n[nH]1']; [0.982671678]
-COc1cc(N2CCNCC2)ccc1Nc1cc(C)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2cc(C)[nH]n2)c1; [None]; [None]; [0]
-Cc1cc(N[C@H](C)CS(C)(=O)=O)n[nH]1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2cc(S(C)(=O)=O)ccc2Cl)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ncc3ccccc3n2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(N3CCOCC3)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C(=O)NCCO)ccc2C)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)C3CC3)c2)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc(N)n[nH]3)CC2)c1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)[O-])cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)[nH]n1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C']; ['Nc1cc(Br)[nH]n1']; [0.999999404]
-Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)[nH]n1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(C2CCCCC2)[nH]n1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)[nH]n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)n[nH]2)cc1Cl; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(N)n[nH]2)cc1Cl; [None]; [None]; [0]
-Nc1cc(-c2cc(N3CCOCC3)ccn2)[nH]n1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cc(-c3ccccc3)[nH]n2)[nH]n1; [None]; [None]; [0]
-Nc1cc([C@@H]2CC[C@@H]([NH3+])CC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)n[nH]2)sn1; [None]; [None]; [0]
-Nc1cc(-c2cccnc2Oc2ccccc2)[nH]n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc(N)n[nH]3)CC2)c1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc(N)n[nH]2)c1; [None]; [None]; [0]
-COCCc1cc(N)n[nH]1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(C2CCOCC2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ncc3cccn3n2)[nH]n1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccn3n2)[nH]n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc(N)n[nH]3)ccc2O1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(N)n[nH]3)cc2)CC1; [None]; [None]; [0]
-Nc1cc(-c2ncc(Cl)cn2)[nH]n1; [None]; [None]; [0]
-COc1cc(-c2cc(N)n[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1csc2c(-c3cc(N)n[nH]3)ncnc12; [None]; [None]; [0]
-Nc1cc(-c2ccc(N3CCCCC3)cc2)[nH]n1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(N)n[nH]3)cc2c1; [None]; [None]; [0]
-Nc1cc(-c2cccc(-n3nccn3)c2)[nH]n1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-Nc1cc(-c2cc(F)cc3c2OCOC3)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1cc(-c2cc(-c3cccnc3)ccn2)[nH]n1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ncc3sccc3n2)[nH]n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Cc1nc(-c2cc(N)n[nH]2)c2sccc2n1; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)[nH]n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ncc3cc(Cl)ccc3n2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)[O-])c(Cl)c2)[nH]n1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)n[nH]2)c2ccccc21; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(N)n[nH]3)[nH]c2c1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)n[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc(N)n[nH]2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-Nc1cc(C2CCS(=O)(=O)CC2)[nH]n1; [None]; [None]; [0]
-Nc1cc(C2CCC(F)(F)CC2)[nH]n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc(N)n[nH]3)ccc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)n[nH]2)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cc(N)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)n[nH]2)c(OC)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Cc1ccccc1-c1cc(N)n[nH]1; []; []; []
-CNC(=O)c1ccc(C)c(-c2cc(N)n[nH]2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(N)n[nH]2)c(F)c1; [None]; [None]; [0]
-Nc1cc(-n2ccc(CC(=O)[O-])c2)[nH]n1; [None]; [None]; [0]
-Cn1c(-c2cc(N)n[nH]2)nc2ccccc21; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Cl)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cn[nH]c2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2c(Cl)ccc3c2OCO3)[nH]n1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cc(N)n[nH]2)c[nH]1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cc(N)n[nH]1; ['Cc1ccc2[nH]ncc2c1B(O)O']; ['Nc1cc(Br)[nH]n1']; [0.997661114]
-CNC(=O)c1cccc2cc(-c3cc(N)n[nH]3)ccc12; [None]; [None]; [0]
-Nc1cc(-c2nnco2)[nH]n1; [None]; [None]; [0]
-COCCCc1cc(N)n[nH]1; [None]; [None]; [0]
-CNc1nccc(-c2cc(N)n[nH]2)n1; [None]; [None]; [0]
-Cc1nnc(-c2cc(N)n[nH]2)o1; [None]; [None]; [0]
-Nc1cc(-c2cnc3[nH]ccc3c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Br)o2)[nH]n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ncc(F)cn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2nncs2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cc(N)[nH]n2)[nH]n1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2[nH]nc3ccc(F)cc23)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cccc([O-])c2)[nH]n1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cc(N)n[nH]2)c1C; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)NC3CC3)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)n[nH]2)ccc1C(N)=O; [None]; [None]; [0]
-Nc1cc(-c2[nH]cnc2-c2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(OCc2cccc3ccccc23)[nH]n1; ['Nc1cc(O)[nH]n1']; ['OCc1cccc2ccccc12']; [0.964334071]
-Nc1cc(CCc2c[nH]c3ccccc23)[nH]n1; [None]; [None]; [0]
-Nc1cc(OCc2ccc(F)cc2F)[nH]n1; ['Nc1cc(O)[nH]n1']; ['OCc1ccc(F)cc1F']; [0.988872588]
-Cc1onc(-c2ccccc2)c1-c1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(F)cc2F)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cc3cncnc3o2)C1; [None]; [None]; [0]
-COC(C)(C)CCc1cc2cncnc2o1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc2cncnc2o1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc3cncnc3o2)[nH]1; [None]; [None]; [0]
-c1ccc2c(-c3cc4cncnc4o3)ccnc2c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cc3cncnc3o2)c1; [None]; [None]; [0]
-c1ncc2cc(C3CCOCC3)oc2n1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1cncc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-c1ncc2cc(-c3cc[nH]n3)oc2n1; [None]; [None]; [0]
-Fc1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-Clc1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-Cc1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-Brc1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cc4cncnc4o3)cn2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cc4cncnc4o3)[nH]2)cc1; [None]; [None]; [0]
-c1cc(-c2cc3cncnc3o2)ncn1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cc2cncnc2o1; [None]; [None]; [0]
-OCCn1cc(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc3cncnc3o2)cs1; [None]; [None]; [0]
-c1ncc2cc(C3CCCCC3)oc2n1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1cc2cncnc2o1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cc3cncnc3o2)CO1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3cncnc3o2)c1)c1ccccc1; [None]; [None]; [0]
-COc1cnc(-c2cc3cncnc3o2)nc1; [None]; [None]; [0]
-c1ncc2cc(CC3CCCCC3)oc2n1; [None]; [None]; [0]
-Cc1ccc(-c2cc3cncnc3o2)c(Br)c1; [None]; [None]; [0]
-c1ncc2cc(-c3cnco3)oc2n1; [None]; [None]; [0]
-c1ncc2cc(-c3ccc4c(c3)CCC4)oc2n1; [None]; [None]; [0]
-c1ccn2c(-c3cc4cncnc4o3)cnc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc3cncnc3o2)s1; [None]; [None]; [0]
-CC(C)C(=O)COc1cc2cncnc2o1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1cnn2c(-c3cc4cncnc4o3)cnc2c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc2cncnc2o1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc3cncnc3o2)s1; [None]; [None]; [0]
-CC(C)(C)Nc1cc2cncnc2o1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cc2cncnc2o1; [None]; [None]; [0]
-Clc1cccc(-c2cc3cncnc3o2)c1Cl; [None]; [None]; [0]
-c1ncc2cc(OC3CCCCC3)oc2n1; [None]; [None]; [0]
-Cc1ncc(-c2cc3cncnc3o2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2cc3cncnc3o2)n1; [None]; [None]; [0]
-COc1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-c1cncc(CNc2cc3cncnc3o2)c1; [None]; [None]; [0]
-c1ccc2cc(-c3cc4cncnc4o3)ccc2c1; [None]; [None]; [0]
-CCC(C)(C)c1cc2cncnc2o1; [None]; [None]; [0]
-c1cncc(Nc2cc3cncnc3o2)c1; [None]; [None]; [0]
-C[C@H](CO)Nc1cc2cncnc2o1; [None]; [None]; [0]
-Clc1ccc(-c2cc3cncnc3o2)s1; [None]; [None]; [0]
-CC(C)COc1cc2cncnc2o1; [None]; [None]; [0]
-c1ncc2cc(NCCc3c[nH]cn3)oc2n1; [None]; [None]; [0]
-c1ccc2c(c1)ncn2-c1cc2cncnc2o1; [None]; [None]; [0]
-O=C(Nc1cc2cncnc2o1)c1cccs1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cc2cncnc2o1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cc2cncnc2o1; [None]; [None]; [0]
-CCCCc1cc2cncnc2o1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-c1ccc2c(-c3cc4cncnc4o3)cncc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cc4cncnc4o3)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cc4cncnc4o3)ccc12; [None]; [None]; [0]
-c1ccc(CCNc2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CCCn1cnc(-c2cc3cncnc3o2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4cncnc4o3)ccc21; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cc2cncnc2o1; [None]; [None]; [0]
-[NH3+]CCCc1cc2cncnc2o1; [None]; [None]; [0]
-Oc1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-OCc1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cc3cncnc3o2)C1; [None]; [None]; [0]
-c1cc(Nc2cc3cncnc3o2)ccn1; [None]; [None]; [0]
-Cn1cncc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1coc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-c1csc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-Cn1cc(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-CC(C)Nc1cc2cncnc2o1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc2cncnc2o1; [None]; [None]; [0]
-CSc1nc(-c2cc3cncnc3o2)c[nH]1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-c1ncc2cc(-c3csc4ncncc34)oc2n1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc4cncnc4o3)cc2s1; [None]; [None]; [0]
-Fc1ccc(-c2cc3cncnc3o2)c(C(F)(F)F)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-Cn1cc(-c2cc3cncnc3o2)c2ccccc21; [None]; [None]; [0]
-FC(F)(F)Oc1cc2cncnc2o1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-CCC(=O)Nc1cc2cncnc2o1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-C[C@H](c1cc2cncnc2o1)C(F)(F)F; [None]; [None]; [0]
-Cc1cc(-c2cc3cncnc3o2)no1; [None]; [None]; [0]
-COc1ccc(-c2cc3cncnc3o2)cc1Cl; [None]; [None]; [0]
-c1ccn2ncc(-c3cc4cncnc4o3)c2c1; [None]; [None]; [0]
-O=c1cc(-c2cc3cncnc3o2)cc[nH]1; [None]; [None]; [0]
-c1ncc2cc(-c3cnoc3)oc2n1; [None]; [None]; [0]
-CCCn1cc(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc2cncnc2o1; [None]; [None]; [0]
-O=c1cc(-c2cc3cncnc3o2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cc4cncnc4o3)c21; [None]; [None]; [0]
-COc1cc(CCc2cc3cncnc3o2)cc(OC)c1; [None]; [None]; [0]
-CCOC(=O)Cc1cc2cncnc2o1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cc3cncnc3o2)ccc1Cl; [None]; [None]; [0]
-CCN(CC)c1cc2cncnc2o1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cc4cncnc4o3)cc12; [None]; [None]; [0]
-COc1ccncc1Nc1cc2cncnc2o1; [None]; [None]; [0]
-c1ccc2c(-c3cc4cncnc4o3)c[nH]c2c1; [None]; [None]; [0]
-c1ccc2ncc(Nc3cc4cncnc4o3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1cc2c(-c3cc4cncnc4o3)c[nH]c2cn1; [None]; [None]; [0]
-CC1(c2cc3cncnc3o2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-c1ncc2cc(-c3cnc4[nH]ccc4c3)oc2n1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cc2cncnc2o1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cc3cncnc3o2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cc3cncnc3o2)C1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cc2cncnc2o1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-c1ncc2cc(-c3ccc(N4CCOCC4)cc3)oc2n1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc3cncnc3o2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2cc3cncnc3o2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-OCCc1cn(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-C[C@H](Nc1cc2cncnc2o1)C(C)(C)C; [None]; [None]; [0]
-C[C@H](Nc1cc2cncnc2o1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cc2cncnc2o1)C(C)(C)O; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1cc2cncnc2o1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cc2cncnc2o1; [None]; [None]; [0]
-Oc1ncccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1ncc2cc(-c3nc[nH]n3)oc2n1; [None]; [None]; [0]
-c1ncc2cc(-c3ccc(-n4cncn4)cc3)oc2n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc3cncnc3o2)[nH]1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cc4cncnc4o3)[nH]c2c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cc2cncnc2o1; [None]; [None]; [0]
-COc1ccc(-c2cc3cncnc3o2)c(OC)c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cc2cncnc2o1; [None]; [None]; [0]
-c1cc(Cc2cc3cncnc3o2)ccn1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc2cncnc2o1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cc2cncnc2o1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-c1ncc2cc(-c3nncn3C3CC3)oc2n1; [None]; [None]; [0]
-O=C(CCc1cc2cncnc2o1)NCc1ccccn1; [None]; [None]; [0]
-Cn1cnnc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1cn(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-C[C@@H](Nc1cc2cncnc2o1)C(C)(C)C; [None]; [None]; [0]
-c1ncc2cc(OC3CCOCC3)oc2n1; [None]; [None]; [0]
-CCc1cc(-c2cc3cncnc3o2)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cc4cncnc4o3)nn2)cc1; [None]; [None]; [0]
-Nc1nnc(-c2cc3cncnc3o2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2cc3cncnc3o2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cc3cncnc3o2)s1; [None]; [None]; [0]
-Cc1cncc(-c2cc3cncnc3o2)n1; [None]; [None]; [0]
-c1ncc2cc(-c3csc(N4CCOCC4)n3)oc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3cncnc3o2)s1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cc2cncnc2o1; [None]; [None]; [0]
-c1ccc2sc(-c3cc4cncnc4o3)nc2c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1ncc2cc(CC3CCOCC3)oc2n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc3cncnc3o2)[nH]1; [None]; [None]; [0]
-c1cc(-c2cc3cncnc3o2)c2sccc2c1; [None]; [None]; [0]
-Cn1cc(-c2cc3cncnc3o2)c(=O)n1C; [None]; [None]; [0]
-Nc1nc(-c2cc3cncnc3o2)nc2ccccc12; [None]; [None]; [0]
-c1ccc2nc(-c3cc4cncnc4o3)ncc2c1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-c1ncc2cc(-c3ncc4cc[nH]c4n3)oc2n1; [None]; [None]; [0]
-c1cnc2c(-c3cc4cncnc4o3)c[nH]c2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1cncc(Cc2cc3cncnc3o2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc2cncnc2o1; [None]; [None]; [0]
-CC(C)(C)CNc1cc2cncnc2o1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cc3cncnc3o2)CC1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-CC(C)(C)Oc1cc2cncnc2o1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc3cncnc3o2)cnn1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cc3cncnc3o2)C1; [None]; [None]; [0]
-N#Cc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-CCOc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc4cncnc4o3)CC2)c1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(c4cc5cncnc5o4)CC3)nc2c1; [None]; [None]; [0]
-COc1ncccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-COc1cc(-c2cc3cncnc3o2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cc2cncnc2o1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cc4cncnc4o3)c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3cncnc3o2)c1)C1CC1; [None]; [None]; [0]
-COc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-Cn1nncc1-c1cc2cncnc2o1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cc2cncnc2o1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cc2cncnc2o1; [None]; [None]; [0]
-Cc1cc(Nc2cc3cncnc3o2)sn1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3cc4cncnc4o3)nc2c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-c1ccc2c(Cc3cc4cncnc4o3)nccc2c1; [None]; [None]; [0]
-c1cnc(Nc2cc3cncnc3o2)nc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-Fc1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-Clc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-O=C(Nc1cc2cncnc2o1)C1CC1; [None]; [None]; [0]
-OCCOc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-c1cc(-c2cc3cncnc3o2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-O=C(c1ccc(-c2cc3cncnc3o2)nc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2cc3cncnc3o2)cc1)N1CCOCC1; [None]; [None]; [0]
-c1cc(Nc2cc3cncnc3o2)ncn1; [None]; [None]; [0]
-Cc1cc(-c2cc3cncnc3o2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-c1ccc(Cc2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc2cncnc2o1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cc2cncnc2o1; [None]; [None]; [0]
-c1ncc(Cc2cc3cncnc3o2)cn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2cc3cncnc3o2)cn1; [None]; [None]; [0]
-OC[C@@H](O)Cc1cc2cncnc2o1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-Clc1ncc(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cc3cncnc3o2)C1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3cncnc3o2)cc1Cl; [None]; [None]; [0]
-c1ncc(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-COc1ccc(Cc2cc3cncnc3o2)cc1; [None]; [None]; [0]
-c1ncc2cc(-c3cn[nH]c3)oc2n1; [None]; [None]; [0]
-Brc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-c1c[nH]c(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-Cc1cc(-c2cc3cncnc3o2)sn1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(-c2cc3cncnc3o2)n1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc3cncnc3o2)cc1Cl; [None]; [None]; [0]
-c1cn(Cc2cc3cncnc3o2)cn1; [None]; [None]; [0]
-c1ccc2cc(-c3cc4cncnc4o3)ncc2c1; [None]; [None]; [0]
-c1ncc2cc(-c3ccc4c(c3)CCO4)oc2n1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc4cncnc4o3)CC2)c1; [None]; [None]; [0]
-COc1cc(-c2cc3cncnc3o2)ccc1O; [None]; [None]; [0]
-c1ncc2cc(-c3scc4c3OCCO4)oc2n1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cc4cncnc4o3)n[nH]2)cc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-c1cc2c(c(-c3cc4cncnc4o3)c1)OCO2; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-Fc1ccc(-c2cc3cncnc3o2)cc1F; [None]; [None]; [0]
-COCCOc1cc2cncnc2o1; [None]; [None]; [0]
-c1ccc2ncc(-c3cc4cncnc4o3)cc2c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc4cncnc4o3)cc2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc3cncnc3o2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-CSc1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-CC1(COc2cc3cncnc3o2)COC1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2cc3cncnc3o2)C1; [None]; [None]; [0]
-Cc1cc(-c2cc3cncnc3o2)nc(N)n1; [None]; [None]; [0]
-CCCCCc1cc2cncnc2o1; [None]; [None]; [0]
-COc1ccc(-c2cc3cncnc3o2)cc1OC; [None]; [None]; [0]
-Fc1ccc(-c2cc3cncnc3o2)c(Cl)c1; [None]; [None]; [0]
-CC[NH+](CC)c1cc2cncnc2o1; [None]; [None]; [0]
-Clc1ccc(-c2cc3cncnc3o2)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(CNc2cc3cncnc3o2)cc1; [None]; [None]; [0]
-Brc1cnc(-c2cc3cncnc3o2)nc1; [None]; [None]; [0]
-c1ncc2cc(CCCn3cncn3)oc2n1; [None]; [None]; [0]
-c1cc2cnc(-c3cc4cncnc4o3)nn2c1; [None]; [None]; [0]
-CCc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-c1ccn2nc(-c3cc4cncnc4o3)cc2c1; [None]; [None]; [0]
-c1ncc2cc(-c3ccsc3)oc2n1; [None]; [None]; [0]
-Cn1cc(-c2cc3cncnc3o2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc4cncnc4o3)c2c1; [None]; [None]; [0]
-c1ncc2cc(-c3ccc(N4CCCCC4)cc3)oc2n1; [None]; [None]; [0]
-COc1cc(-c2cc3cncnc3o2)ccc1N1CCOCC1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc3cncnc3o2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cc3cncnc3o2)ccc1Cl; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc4cncnc4o3)ccc2O1; [None]; [None]; [0]
-Cc1nc(Nc2cc3cncnc3o2)sc1C; [None]; [None]; [0]
-Cc1csc2c(-c3cc4cncnc4o3)ncnc12; [None]; [None]; [0]
-Oc1ccc2cccc(-c3cc4cncnc4o3)c2c1; [None]; [None]; [0]
-c1cc(-c2cc3cncnc3o2)cc(-n2nccn2)c1; [None]; [None]; [0]
-Clc1cnc(-c2cc3cncnc3o2)nc1; [None]; [None]; [0]
-Cc1ccc(-c2cc3cncnc3o2)o1; [None]; [None]; [0]
-Cc1cc(Nc2cc3cncnc3o2)nn1C; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc3cncnc3o2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cc3cncnc3o2)cc1; [None]; [None]; [0]
-COc1cc(-c2cc3cncnc3o2)c(OC)cc1Br; [None]; [None]; [0]
-O=C(Nc1cc2cncnc2o1)c1ccco1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cc4cncnc4o3)c1)OCOC2; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc4cncnc4o3)cc2c1; [None]; [None]; [0]
-c1ncc2cc(-c3ccc4cn[nH]c4c3)oc2n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cc3cncnc3o2)cc1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-CC(C)Oc1cc2cncnc2o1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cc4cncnc4o3)c2)c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-Cc1nc(-c2cc3cncnc3o2)c2sccc2n1; [None]; [None]; [0]
-CCn1cc(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cc2cncnc2o1; [None]; [None]; [0]
-c1ccc2oc(-c3cc4cncnc4o3)cc2c1; [None]; [None]; [0]
-c1ncc2cc(-c3ncc4sccc4n3)oc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-COC(=O)Nc1cc2cncnc2o1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc2cncnc2o1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cc4cncnc4o3)ncc2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3cncnc3o2)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc4cncnc4o3)[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3cncnc3o2)cc1Cl; [None]; [None]; [0]
-c1ncc2cc(-c3cscn3)oc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc3cncnc3o2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cc3cncnc3o2)nc1C; [None]; [None]; [0]
-CCc1cccc(-c2cc3cncnc3o2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc4cncnc4o3)ccc12; [None]; [None]; [0]
-Cc1cc(-c2cc3cncnc3o2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3cncnc3o2)cn1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-FC1(F)CCC(c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cc3cncnc3o2)CC1; [None]; [None]; [0]
-C[NH+](C)CCCc1cc2cncnc2o1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3cncnc3o2)c(Cl)c1; [None]; [None]; [0]
-OCCc1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3cncnc3o2)c(OC)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc2cncnc2o1; [None]; [None]; [0]
-Fc1ccc(Nc2cc3cncnc3o2)nc1; [None]; [None]; [0]
-c1ccc(Nc2cc3cncnc3o2)nc1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc3cncnc3o2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc3cncnc3o2)c1; [None]; [None]; [0]
-c1ccc2nc(Nc3nccs3)ncc2c1; ['Brc1nccs1']; ['Nc1ncc2ccccc2n1']; [0.999958515]
-CC(=O)N(C)c1ccc(Nc2nccs2)cc1; ['CC(=O)N(C)c1ccc(N)cc1']; ['Clc1nccs1']; [0.998389602]
-C[NH+](C)CCCOc1cc2cncnc2o1; [None]; [None]; [0]
-c1csc(Nc2ccc(N3CCOCC3)cc2)n1; ['Clc1nccs1']; ['Nc1ccc(N2CCOCC2)cc1']; [0.999260247]
-O=C(Nc1cccc(Nc2nccs2)c1)C1CC1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc2cncnc2o1; [None]; [None]; [0]
-COc1cccc(N2CCC(Nc3nccs3)CC2)c1; ['COc1cccc(N2CCC(=O)CC2)c1']; ['Nc1nccs1']; [0.999373734]
-c1ccc(Nc2nccs2)cc1; ['NC(=S)Nc1ccccc1', 'Brc1nccs1']; ['O=CCCl', 'Nc1ccccc1']; [0.999858499, 0.999858499]
-CS(=O)(=O)Nc1ccc(Nc2nccs2)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
-O=C(c1ccc(Nc2nccs2)cc1)N1CCOCC1; ['Brc1nccs1', 'Nc1nccs1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9998914, 0.9998914]
-O=C(c1ccc(Nc2nccs2)nc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
-c1csc(NC2CCCCC2)n1; ['Clc1nccs1']; ['NC1CCCCC1']; [0.999489903]
-C[C@@H](O)COc1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(Nc2nccs2)CC1; ['CS(=O)(=O)N1CCC(N)CC1']; ['Clc1nccs1']; [0.999445]
-CCNS(=O)(=O)c1ccc(Nc2nccs2)cc1; ['Brc1nccs1', 'CCNS(=O)(=O)c1ccc(N)cc1']; ['CCNS(=O)(=O)c1ccc(N)cc1', 'Clc1nccs1']; [0.986374736, 0.986374736]
-O=C(c1ccccc1)N1CC[C@H](Nc2nccs2)C1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2nccs2)cc1Cl; [None]; [None]; [0]
-Cc1c(Nc2nccs2)cccc1C(=O)[O-]; [None]; [None]; [0]
-CN(C)c1ccc(Nc2nccs2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['Clc1nccs1']; [0.989569247]
-c1cc(N2CCOCC2)cc(Nc2nccs2)n1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3nccs3)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2nccs2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Clc1nccs1', 'Nc1nccs1']; [0.999441206, 0.999441206]
-c1ccc(-c2cc(Nc3nccs3)n[nH]2)cc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](Nc2nccs2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1nccs1; ['Brc1nccs1']; ['COc1cc(N2CCOCC2)ccc1N']; [0.999456465]
-c1ccc(Oc2ncccc2Nc2nccs2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2nccs2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2nccs2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(Nc3nccs3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1']; ['Clc1nccs1']; [0.817463875]
-COCCNc1nccs1; ['COCCN', 'COCCBr', 'COCCCl']; ['Clc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.99978739, 0.99978739, 0.99978739]
-COc1cccc(C(=O)NNc2nccs2)c1; [None]; [None]; [0]
-c1csc(NC2CCOCC2)n1; [None]; [None]; [0]
-c1cc2cnc(Nc3nccs3)nn2c1; [None]; [None]; [0]
-COc1cc(Nc2nccs2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1ccn2nc(Nc3nccs3)cc2c1; [None]; [None]; [0]
-c1csc(Nc2ccc(N3CCCCC3)cc2)n1; ['Clc1nccs1', 'Brc1nccs1']; ['Nc1ccc(N2CCCCC2)cc1', 'Nc1ccc(N2CCCCC2)cc1']; [0.999467194, 0.999467194]
-Clc1cnc(Nc2nccs2)nc1; ['Brc1nccs1']; ['Nc1ncc(Cl)cn1']; [0.997640967]
-c1cc(Nc2nccs2)cc(-n2nccn2)c1; [None]; [None]; [0]
-CC1(C)Cc2cc(Nc3nccs3)ccc2O1; [None]; [None]; [0]
-Cc1csc2c(Nc3nccs3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1nccs1']; [0.999978065]
-Fc1cc2c(c(Nc3nccs3)c1)OCOC2; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2nccs2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2nccs2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](Nc2nccs2)CC1; [None]; [None]; [0]
-COc1ccc2oc(Nc3nccs3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2nccs2)c1; [None]; [None]; [0]
-Cc1nc(Nc2nccs2)c2sccc2n1; [None]; [None]; [0]
-c1csc(Nc2ncc3sccc3n2)n1; [None]; [None]; [0]
-Clc1ccc2nc(Nc3nccs3)ncc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(Nc3nccs3)c2)c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1nccs1; [None]; [None]; [0]
-COc1ccc2nc(Nc3nccs3)[nH]c2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2nccs2)cc1Cl; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2nccs2)c1)N1CCCC1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(Nc2nccs2)n1; [None]; [None]; [0]
-Cc1cc(Nc2nccs2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1cc(Nc2nccs2)c2ccccc21; [None]; [None]; [0]
-Cc1n[nH]c2cc(Nc3nccs3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['Nc1nccs1']; [0.999971747]
-FC1(F)CCC(Nc2nccs2)CC1; ['Brc1nccs1']; ['NC1CCC(F)(F)CC1']; [0.999981165]
-CN(C)c1ccc(Nc2nccs2)cn1; [None]; [None]; [0]
-O=S1(=O)CCC(Nc2nccs2)CC1; ['Brc1nccs1', 'CSc1nccs1']; ['NC1CCS(=O)(=O)CC1', 'NC1CCS(=O)(=O)CC1']; [0.999981761, 0.999981761]
-Cc1cc(N2CCOCC2)ccc1Nc1nccs1; ['Cc1cc(N2CCOCC2)ccc1N', 'Brc1nccs1']; ['Clc1nccs1', 'Cc1cc(N2CCOCC2)ccc1N']; [0.99999547, 0.99999547]
-COc1cc(N2CCC(O)CC2)ccc1Nc1nccs1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2nccs2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['Nc1nccs1']; [0.948109567]
-CN(C)C(=O)c1ccc(Nc2nccs2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2nccs2)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['Clc1nccs1']; [0.996901751]
-C[C@H](CS(C)(=O)=O)Nc1nccs1; [None]; [None]; [0]
-c1ccc(Cc2ccc3c(c2)OCO3)cc1; ['BrCc1ccccc1', 'C[N+](C)(C)Cc1ccccc1']; ['OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2']; [0.98392421, 0.98392421]
-Cc1ccc(C(=O)NCCO)cc1Nc1nccs1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2nccs2)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2Cc2ccc3c(c2)OCO3)[nH]1; [None]; [None]; [0]
-Cc1cccc(Cc2ccc3c(c2)OCO3)c1; ['Cc1cccc(B(O)O)c1', 'Cc1cccc(CCl)c1', 'CC(=O)OCc1ccc2c(c1)OCO2']; ['ClCc1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Cc1cccc(B(O)O)c1']; [0.999256194, 0.999256194, 0.999256194]
-O=C([O-])c1ccccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-c1cc2c(cc1CC1CCOCC1)OCO2; [None]; [None]; [0]
-c1cc2c(cc1CC1CCCCC1)OCO2; ['Br[Mg]CC1CCCCC1']; ['Brc1ccc2c(c1)OCO2']; [0.988566101]
-CC(C)(C)c1nc(Cc2ccc3c(c2)OCO3)cs1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](Cc2ccc3c(c2)OCO3)CO1; [None]; [None]; [0]
-Cc1nc2ccccn2c1Cc1ccc2c(c1)OCO2; ['Cc1ccc2c(c1)OCO2']; ['Cc1cn2ccccc2n1']; [0.967239738]
-CNc1nc(C)c(Cc2ccc3c(c2)OCO3)s1; [None]; [None]; [0]
-COc1cnc(Cc2ccc3c(c2)OCO3)nc1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(Cc2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cc3ccc4c(c3)OCO4)cc2)cn1; [None]; [None]; [0]
-c1cc(Cc2ccc3c(c2)OCO3)cc(Cn2cncn2)c1; [None]; [None]; [0]
-Cn1ncc2cc(Cc3ccc4c(c3)OCO4)ccc21; ['ClCc1ccc2c(c1)OCO2']; ['Cn1ncc2ccccc21']; [0.977328956]
-Nc1[nH]nc2cc(Cc3ccc4c(c3)OCO4)ccc12; [None]; [None]; [0]
-CCCn1cnc(Cc2ccc3c(c2)OCO3)n1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](Cc2ccc3c(c2)OCO3)C1; [None]; [None]; [0]
-CSc1nc(Cc2ccc3c(c2)OCO3)c[nH]1; [None]; [None]; [0]
-c1ncc2c(Cc3ccc4c(c3)OCO4)csc2n1; [None]; [None]; [0]
-CCNc1nc2ccc(Cc3ccc4c(c3)OCO4)cc2s1; [None]; [None]; [0]
-CC(C)c1oncc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-Cn1cc(Cc2ccc3c(c2)OCO3)c2ccccc21; [None]; [None]; [0]
-O=c1cc(Cc2ccc3c(c2)OCO3)cc[nH]1; [None]; [None]; [0]
-c1ccn2ncc(Cc3ccc4c(c3)OCO4)c2c1; [None]; [None]; [0]
-O=c1cc(Cc2ccc3c(c2)OCO3)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C([O-])c1cc(Cc2ccc3c(c2)OCO3)ccc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-c1cc2cc(Cc3ccc4c(c3)OCO4)cnc2[nH]1; [None]; [None]; [0]
-CC1(Cc2ccc3c(c2)OCO3)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](Cc2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](Cc2ccc3c(c2)OCO3)C1; [None]; [None]; [0]
-c1cc(N2CCOCC2)ccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-OCc1ccn(Cc2ccc3c(c2)OCO3)n1; ['ClCc1ccc2c(c1)OCO2']; ['OCc1cc[nH]n1']; [0.999898911]
-Cc1cc(Cc2ccc3c(c2)OCO3)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCCc1cn(Cc2ccc3c(c2)OCO3)cn1; [None]; [None]; [0]
-c1ncn(-c2ccc(Cc3ccc4c(c3)OCO4)cc2)n1; [None]; [None]; [0]
-c1nc(Cc2ccc3c(c2)OCO3)n[nH]1; [None]; [None]; [0]
-CC(C)n1cnnc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-CSc1nc(C)c(Cc2ccc3c(c2)OCO3)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-c1cc2c(cc1Cc1nncn1C1CC1)OCO2; [None]; [None]; [0]
-Cn1cnnc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-CCCCc1cc(Cc2ccc3c(c2)OCO3)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(Cc3ccc4c(c3)OCO4)nn2)cc1; [None]; [None]; [0]
-CCc1cc(Cc2ccc3c(c2)OCO3)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(Cc2ccc3c(c2)OCO3)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(Cc2ccc3c(c2)OCO3)[nH]1; [None]; [None]; [0]
-c1cc2c(cc1Cc1csc(N3CCOCC3)n1)OCO2; [None]; [None]; [0]
-c1ccc2nc(Cc3ccc4c(c3)OCO4)ncc2c1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(Cc2ccc3c(c2)OCO3)cn1; [None]; [None]; [0]
-Cn1cc(Cc2ccc3c(c2)OCO3)c(=O)n1C; [None]; [None]; [0]
-c1ccc(-c2ccc3c(c2)OCO3)cc1; ['Ic1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2']; ['Ic1ccccc1', 'Brc1ccccc1']; [0.97234273, 0.97234273]
-c1cc2cnc(Cc3ccc4c(c3)OCO4)nc2[nH]1; [None]; [None]; [0]
-CN(C)c1cc(Cc2ccc3c(c2)OCO3)cnn1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc2c(c1)OCO2; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc3c(c2)OCO3)[nH]1; [None]; [None]; [0]
-c1cc2c(cc1C1CCOCC1)OCO2; ['BrC1CCOCC1', 'BrC1CCOCC1', 'Br[Zn]C1CCOCC1', 'BrC1CCOCC1']; ['Brc1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Br[Mg]c1ccc2c(c1)OCO2']; [0.998039067, 0.998039067, 0.998039067, 0.998039067]
-CP(C)(=O)c1ccccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc3c(c2)OCO3)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1ccc2c(c1)OCO2']; [0.999999762]
-COc1ccc(F)cc1[C@@H](C)c1ccc2c(c1)OCO2; [None]; [None]; [0]
-Cc1cccc(-c2ccc3c(c2)OCO3)c1; ['Cc1cccc(I)c1']; ['Ic1ccc2c(c1)OCO2']; [0.952340245]
-c1cc2c(cc1C1CCCCC1)OCO2; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-COc1cnc(-c2ccc3c(c2)OCO3)nc1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C']; ['COc1cnc(Cl)nc1']; [0.999836922]
-CC(C)C(=O)COc1ccc2c(c1)OCO2; ['CC(C)C(=O)CBr']; ['Oc1ccc2c(c1)OCO2']; [0.952166498]
-CNc1nc(C)c(-c2ccc3c(c2)OCO3)s1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ccc3c(c2)OCO3)CO1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2c(c1)OCO2; ['Brc1ccc2c(c1)OCO2']; ['Cc1cn2ccccc2n1']; [0.999946952]
-c1nc(CCNc2ccc3c(c2)OCO3)c[nH]1; ['Clc1ccc2c(c1)OCO2']; ['NCCc1c[nH]cn1']; [0.848311]
-CCCCc1ccc2c(c1)OCO2; []; []; []
-CCC(C)(C)c1ccc2c(c1)OCO2; ['CCC(C)(C)Cl']; ['c1ccc2c(c1)OCO2']; [0.967681229]
-COC(=O)[C@@H](N)Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-c1ccc(CCNc2ccc3c(c2)OCO3)cc1; ['ClCCc1ccccc1', 'Ic1ccc2c(c1)OCO2', 'C=Cc1ccccc1']; ['Nc1ccc2c(c1)OCO2', 'NCCc1ccccc1', 'Nc1ccc2c(c1)OCO2']; [0.998370826, 0.998370826, 0.998370826]
-Nc1[nH]nc2cc(-c3ccc4c(c3)OCO4)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999973416]
-O=C([O-])Cc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4c(c3)OCO4)ccc21; ['Brc1ccc2c(c1)OCO2', 'Cn1ncc2cc(Br)ccc21']; ['Cn1ncc2cc(B(O)O)ccc21', 'OB(O)c1ccc2c(c1)OCO2']; [0.999989033, 0.999989033]
-[NH3+]CCCc1ccc2c(c1)OCO2; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc2c(c1)OCO2; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc4c(c3)OCO4)cc2)cn1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-CSc1nc(-c2ccc3c(c2)OCO3)c[nH]1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3c(c2)OCO3)n1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc2c(c1)OCO2; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4c(c3)OCO4)cc2s1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc3c(c2)OCO3)C1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc3c(c2)OCO3)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; [0.998810768, 0.998810768]
-C[C@H](c1ccc2c(c1)OCO2)C(F)(F)F; [None]; [None]; [0]
-c1ncc2c(-c3ccc4c(c3)OCO4)csc2n1; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)OCO3)c2ccccc21; [None]; [None]; [0]
-O=c1cc(-c2ccc3c(c2)OCO3)cc[nH]1; ['O=c1cc(Br)cc[nH]1']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999656916]
-O=c1cc(-c2ccc3c(c2)OCO3)ccn1[C@@H2]CO; [None]; [None]; [0]
-COc1cc(CCc2ccc3c(c2)OCO3)cc(OC)c1; ['COc1cc(CBr)cc(OC)c1']; ['Cc1ccc2c(c1)OCO2']; [0.967426479]
-c1ccn2ncc(-c3ccc4c(c3)OCO4)c2c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2c(c1)OCO2; ['CC(C)(C)N=C=O', 'CC(C)(C)NC(N)=O']; ['Nc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; [0.999908209, 0.999908209]
-O=C([O-])c1cc(-c2ccc3c(c2)OCO3)ccc1Cl; [None]; [None]; [0]
-c1cc2cc(-c3ccc4c(c3)OCO4)cnc2[nH]1; ['Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1ccc2c(c1)OCO2']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Brc1cnc2[nH]ccc2c1']; [0.999999642, 0.999999642, 0.999999642]
-CNC(=O)c1c(F)cccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-CC1(c2ccc3c(c2)OCO3)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-c1cc(N2CCOCC2)ccc1-c1ccc2c(c1)OCO2; ['Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc2c(c1)OCO2', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc2c(c1)OCO2', 'Brc1ccc(N2CCOCC2)cc1']; ['OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Brc1ccc2c(c1)OCO2']; [0.999997258, 0.999997258, 0.999997258, 0.999997258, 0.999997258]
-N#CCC[C@@H]1CC[C@@H](c2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc3c(c2)OCO3)C1; [None]; [None]; [0]
-OCc1ccn(-c2ccc3c(c2)OCO3)n1; ['Brc1ccc2c(c1)OCO2']; ['OCc1cc[nH]n1']; [0.99390924]
-Cc1cc(-c2ccc3c(c2)OCO3)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCCc1cn(-c2ccc3c(c2)OCO3)cn1; [None]; [None]; [0]
-C[C@H](Nc1ccc2c(c1)OCO2)C(C)(C)C; ['Brc1ccc2c(c1)OCO2', 'C[C@H](N)C(C)(C)C']; ['C[C@H](N)C(C)(C)C', 'Ic1ccc2c(c1)OCO2']; [0.999090672, 0.999090672]
-C[C@H](Nc1ccc2c(c1)OCO2)C(C)(C)O; [None]; [None]; [0]
-c1nc(-c2ccc3c(c2)OCO3)n[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2c(c1)OCO2; ['Cc1nc[nH]c1Br', 'Cc1cnc[nH]1']; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; [0.999316931, 0.999316931]
-C[C@@H](Nc1ccc2c(c1)OCO2)C(C)(C)O; [None]; [None]; [0]
-c1ncn(-c2ccc(-c3ccc4c(c3)OCO4)cc2)n1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3c(c2)OCO3)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc2c(c1)OCO2; [None]; [None]; [0]
-O=C(CCc1ccc2c(c1)OCO2)NCc1ccccn1; ['NCc1ccccn1']; ['O=C(O)CCc1ccc2c(c1)OCO2']; [0.999906182]
-CC(C)n1cnnc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-Cn1cnnc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-CCc1cc(-c2ccc3c(c2)OCO3)nc(N)n1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C']; ['CCc1cc(Cl)nc(N)n1']; [0.999994397]
-C[C@@H](Nc1ccc2c(c1)OCO2)C(C)(C)C; ['CC(=O)C(C)(C)C']; ['Nc1ccc2c(c1)OCO2']; [0.839248538]
-c1cc2c(cc1-c1nncn1C1CC1)OCO2; [None]; [None]; [0]
-c1cc2c(cc1-c1csc(N3CCOCC3)n1)OCO2; ['NC(=S)N1CCOCC1', 'CC(=O)c1ccc2c(c1)OCO2']; ['O=C(CBr)c1ccc2c(c1)OCO2', 'NC(=S)N1CCOCC1']; [1.0, 1.0]
-CCCCc1cc(-c2ccc3c(c2)OCO3)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4c(c3)OCO4)nn2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3c(c2)OCO3)s1; ['CNC(=O)c1ccc(Br)s1']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999995232]
-c1ccc2nc(-c3ccc4c(c3)OCO4)ncc2c1; ['NCc1ccccc1N']; ['O=Cc1ccc2c(c1)OCO2']; [0.999696374]
-NC(=O)N1CCC[C@@H]1c1ccc2c(c1)OCO2; [None]; [None]; [0]
-c1cc2cnc(-c3ccc4c(c3)OCO4)nc2[nH]1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Clc1ncc2cc[nH]c2n1']; ['Clc1ncc2cc[nH]c2n1', 'OB(O)c1ccc2c(c1)OCO2']; [0.999993801, 0.999993801]
-CC(=O)Nc1ncc(-c2ccc3c(c2)OCO3)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)OCO3)c(=O)n1C; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2ccc3c(c2)OCO3)cn1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc3c(c2)OCO3)cnn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-COC(C)(C)CCc1ccc(O)cc1; ['CC(C)(O)CCc1ccc(O)cc1']; ['CO']; [0.926455796]
-O[C@H]1CC[C@@H](Oc2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc(O)cc2)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc(O)cc1; [None]; [None]; [0]
-Oc1ccc(-c2ccccc2)cc1; []; []; []
-Cc1cccc(-c2ccc(O)cc2)c1; ['Cc1cccc(B(O)O)c1', 'Cc1cccc(Cl)c1']; ['Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1']; [0.993164837, 0.993164837]
-CP(C)(=O)c1ccccc1-c1ccc(O)cc1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc(O)cc1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccc(O)cc1; [None]; [None]; [0]
-Oc1ccc(C2CCOCC2)cc1; ['BrC1CCOCC1', 'O=C1CCOCC1', 'OC1CCOCC1']; ['Oc1ccc(Br)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccccc1']; [0.990658402, 0.990658402, 0.990658402]
-Oc1ccc(C2CCCCC2)cc1; ['C1=CCCCC1']; ['Oc1ccccc1']; [0.968560457]
-CC(C)(C)c1nc(-c2ccc(O)cc2)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1ccc(O)cc1']; [0.999999166]
-OC[C@@H]1CC[C@@H](c2ccc(O)cc2)CO1; [None]; [None]; [0]
-Oc1ccc(CC2CCCCC2)cc1; ['OCC1CCCCC1']; ['Oc1ccccc1']; [0.843725145]
-CNc1nc(C)c(-c2ccc(O)cc2)s1; [None]; [None]; [0]
-COc1cnc(-c2ccc(O)cc2)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc(O)cc1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc(O)cc1; ['Cc1cn2ccccc2n1']; ['Oc1ccc(I)cc1']; [0.999438107]
-Oc1ccc(NCCc2c[nH]cn2)cc1; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; ['Oc1ccc(F)cc1', 'Oc1ccc(Br)cc1']; [0.953261316, 0.953261316]
-Oc1ccc(-c2cccc(Cn3cncn3)c2)cc1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc(O)cc1; ['CO']; ['N[C@@H](Cc1ccc(O)cc1)C(=O)O']; [0.997689724]
-CCCCc1ccc(O)cc1; []; []; []
-CCC(C)(C)c1ccc(O)cc1; ['CCC(C)(C)O']; ['Oc1ccccc1']; [0.972211778]
-Nc1[nH]nc2cc(-c3ccc(O)cc3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['OB(O)c1ccc(O)cc1']; [0.999098301]
-Oc1ccc(NCCc2ccccc2)cc1; ['NCCc1ccccc1', 'ICCc1ccccc1', 'Nc1ccc(O)cc1']; ['Oc1ccc(I)cc1', 'Nc1ccc(O)cc1', 'O=CCc1ccccc1']; [0.992137849, 0.992137849, 0.992137849]
-O=C([O-])Cc1cccc(-c2ccc(O)cc2)c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc(O)cc3)ccc21; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21']; ['Cn1ncc2cc(Br)ccc21', 'Oc1ccc(Cl)cc1']; [0.999999523, 0.999999523]
-Cn1cc(-c2ccc(-c3ccc(O)cc3)cc2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; ['Oc1ccc(-c2ccc(Br)cc2)cc1', 'Oc1ccc(-c2ccc(Br)cc2)cc1']; [0.999046266, 0.999046266]
-C[C@@H](C[NH+](C)C)Oc1ccc(O)cc1; [None]; [None]; [0]
-[NH3+]CCCc1ccc(O)cc1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(O)cc2)n1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc(O)cc1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc(O)cc2)C1; [None]; [None]; [0]
-CSc1nc(-c2ccc(O)cc2)c[nH]1; [None]; [None]; [0]
-Oc1ccc(OC(F)(F)F)cc1; []; []; []
-Oc1ccc(-c2csc3ncncc23)cc1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc(O)cc3)cc2s1; [None]; [None]; [0]
-C[C@H](c1ccc(O)cc1)C(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2ccc(O)cc2)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc(O)cc2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Oc1ccc(F)cc1', 'Oc1ccc(Br)cc1']; [0.942787468, 0.942787468]
-O=c1cc(-c2ccc(O)cc2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(-c2ccc(O)cc2)cc[nH]1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'O=c1cc(Br)cc[nH]1']; ['O=c1cc(Br)cc[nH]1', 'OB(O)c1ccc(O)cc1']; [0.999877691, 0.999877691]
-Oc1ccc(-c2cnn3ccccc23)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc(O)cc1; ['CC(C)(C)N=C=O']; ['Nc1ccc(O)cc1']; [0.998829424]
-O=C([O-])c1cc(-c2ccc(O)cc2)ccc1Cl; [None]; [None]; [0]
-COc1cc(CCc2ccc(O)cc2)cc(OC)c1; []; []; []
-Oc1ccc(-c2cnc3[nH]ccc3c2)cc1; ['Brc1cnc2[nH]ccc2c1']; ['OB(O)c1ccc(O)cc1']; [0.999528646]
-CNC(=O)c1c(F)cccc1-c1ccc(O)cc1; [None]; [None]; [0]
-CC1(c2ccc(O)cc2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Oc1ccc(-c2ccc(N3CCOCC3)cc2)cc1; ['C1COCCN1']; ['Oc1ccc(-c2ccc(Cl)cc2)cc1']; [0.970258534]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc(O)cc2)C1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc(O)cc2)CC1; [None]; [None]; [0]
-OCc1ccn(-c2ccc(O)cc2)n1; ['OCc1cc[nH]n1']; ['Oc1ccc(I)cc1']; [0.975849688]
-OCCc1cn(-c2ccc(O)cc2)cn1; ['OCCc1c[nH]cn1']; ['Oc1ccc(I)cc1']; [0.988330841]
-Cc1cc(-c2ccc(O)cc2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ccc(O)cc1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccc(O)cc1)C(C)(C)C; ['C[C@H](N)C(C)(C)C', 'C[C@H](N)C(C)(C)C', 'C[C@H](N)C(C)(C)C']; ['Oc1ccc(I)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(Cl)cc1']; [0.983830929, 0.983830929, 0.983830929]
-C[C@@H](Nc1ccc(O)cc1)C(C)(C)O; [None]; [None]; [0]
-Oc1ccc(-c2ccc(-n3cncn3)cc2)cc1; [None]; [None]; [0]
-Oc1ccc(-c2nc[nH]n2)cc1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc(O)cc2)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc(O)cc1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc(O)cc1; ['Cc1nc[nH]c1Br']; ['OB(O)c1ccc(O)cc1']; [0.851174]
-CC(C)n1cnnc1-c1ccc(O)cc1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc(O)cc1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc(O)cc1; [None]; [None]; [0]
-Oc1ccc(-c2nncn2C2CC2)cc1; [None]; [None]; [0]
-O=C(CCc1ccc(O)cc1)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-c2ccc(O)cc2)nc(N)n1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CCc1cc(Cl)nc(N)n1']; ['CCc1cc(Cl)nc(N)n1', 'OB(O)c1ccc(O)cc1']; [0.999999285, 0.999999285]
-Oc1ccc(-c2cn(Cc3ccccc3)nn2)cc1; [None]; [None]; [0]
-C[C@@H](Nc1ccc(O)cc1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C', 'C[C@@H](N)C(C)(C)C']; ['Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1']; [0.983830929, 0.983830929]
-Oc1ccc(-c2csc(N3CCOCC3)n2)cc1; ['NC(=S)N1CCOCC1']; ['O=C(CBr)c1ccc(O)cc1']; [1.0]
-CNC(=O)c1ccc(-c2ccc(O)cc2)s1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C']; ['CNC(=O)c1ccc(Br)s1']; [0.999998569]
-CCCCc1cc(-c2ccc(O)cc2)nc(N)n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc(O)cc2)[nH]1; [None]; [None]; [0]
-Oc1ccc(CC2CCOCC2)cc1; ['OCC1CCOCC1']; ['Oc1ccccc1']; [0.867873728]
-NC(=O)N1CCC[C@@H]1c1ccc(O)cc1; [None]; [None]; [0]
-Oc1ccc(-c2cnccc2N2CCOCC2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(O)cc2)c(=O)n1C; [None]; [None]; [0]
-Oc1ccc(-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-Oc1ccc(-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc(O)cc1; [None]; [None]; [0]
-Oc1ccc(O[C@@H]2CC[C@H](O)CC2)cc1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc(O)cc2)cnn1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1ccc(-c2ccc3n[nH]cc3c2)cc1; ['Brc1ccc2n[nH]cc2c1']; ['CC1(C)COB(c2ccccc2)OC1']; [0.999989748]
-O[C@H]1C[C@@H](c2ccc3n[nH]cc3c2)C1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc3n[nH]cc3c2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-c1ccc2c(-c3ccc4n[nH]cc4c3)ccnc2c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-c1cc2n[nH]cc2cc1C1CCOCC1; [None]; [None]; [0]
-c1cc(-c2ccc3n[nH]cc3c2)n[nH]1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; ['Ic1cc[nH]n1']; [0.999995828]
-c1cncc(-c2ccc3n[nH]cc3c2)c1; ['Brc1ccc2n[nH]cc2c1']; ['c1cncc(B2OCCCO2)c1']; [0.999566853]
-Fc1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Cc1cccc(-c2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-Clc1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Brc1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1ccc2n[nH]cc2c1; ['Brc1ccc2n[nH]cc2c1']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.98956722]
-N#Cc1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4n[nH]cc4c3)cn2)cc1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ccc4n[nH]cc4c3)[nH]2)cc1; [None]; [None]; [0]
-c1cc(-c2ccc3n[nH]cc3c2)ncn1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc3n[nH]cc3c2)cs1; [None]; [None]; [0]
-OCCn1cc(-c2ccc3n[nH]cc3c2)cn1; [None]; [None]; [0]
-N[C@H](c1ccc2n[nH]cc2c1)c1ccco1; [None]; [None]; [0]
-c1cc2n[nH]cc2cc1C1CCCCC1; [None]; [None]; [0]
-COc1cnc(-c2ccc3n[nH]cc3c2)nc1; ['COc1cncnc1']; ['Ic1ccc2n[nH]cc2c1']; [0.918685257]
-OC[C@@H]1CC[C@@H](c2ccc3n[nH]cc3c2)CO1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccc3n[nH]cc3c2)c1)c1ccccc1; [None]; [None]; [0]
-c1cc2n[nH]cc2cc1CC1CCCCC1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3n[nH]cc3c2)c(Br)c1; [None]; [None]; [0]
-c1ncc(-c2ccc3n[nH]cc3c2)o1; [None]; [None]; [0]
-c1cc2c(cc1-c1ccc3n[nH]cc3c1)CCC2; [None]; [None]; [0]
-c1ccn2c(-c3ccc4n[nH]cc4c3)cnc2c1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3n[nH]cc3c2)s1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; ['Cc1nc(C)c(Br)s1']; [0.999994397]
-Cc1nc(N)sc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1cnn2c(-c3ccc4n[nH]cc4c3)cnc2c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc3n[nH]cc3c2)s1; [None]; [None]; [0]
-CC(C)(C)Nc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccc3n[nH]cc3c2)c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1']; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; [0.999997854, 0.999997854]
-Clc1cccc(Cl)c1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-c1cc2n[nH]cc2cc1OC1CCCCC1; [None]; [None]; [0]
-Cc1ncc(-c2ccc3n[nH]cc3c2)[nH]1; [None]; [None]; [0]
-Clc1cccc(-c2ccc3n[nH]cc3c2)c1Cl; [None]; [None]; [0]
-c1cncc(CNc2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-CCC(C)(C)c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Nc1nccc(-c2ccc3n[nH]cc3c2)n1; [None]; [None]; [0]
-COc1cccc(-c2ccc3n[nH]cc3c2)c1; ['Brc1ccc2n[nH]cc2c1']; ['COc1cccc(B(O)O)c1']; [0.998537898]
-c1ccc2cc(-c3ccc4n[nH]cc4c3)ccc2c1; [None]; [None]; [0]
-c1cncc(Nc2ccc3n[nH]cc3c2)c1; ['Brc1ccc2n[nH]cc2c1']; ['Nc1cccnc1']; [0.998517573]
-Clc1ccc(-c2ccc3n[nH]cc3c2)s1; [None]; [None]; [0]
-c1nc(CCNc2ccc3n[nH]cc3c2)c[nH]1; ['Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.999666095, 0.999666095]
-c1ccc2c(c1)ncn2-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-C[C@H](CO)Nc1ccc2n[nH]cc2c1; ['C[C@@H](N)CO']; ['Ic1ccc2n[nH]cc2c1']; [0.974394739]
-COC(=O)[C@@H](N)Cc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-O=C(Nc1ccc2n[nH]cc2c1)c1cccs1; [None]; [None]; [0]
-CC(C)COc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-CCCCc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1ccc(CCNc2ccc3n[nH]cc3c2)cc1; ['Brc1ccc2n[nH]cc2c1']; ['NCCc1ccccc1']; [0.954586446]
-C[C@@H](O)[C@@H](C)Oc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc4n[nH]cc4c3)cc2)cn1; [None]; [None]; [0]
-c1ccc2c(-c3ccc4n[nH]cc4c3)cncc2c1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3n[nH]cc3c2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4n[nH]cc4c3)ccc21; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccc4n[nH]cc4c3)ccc12; [None]; [None]; [0]
-Oc1cccc(-c2ccc3n[nH]cc3c2)c1; ['Brc1ccc2n[nH]cc2c1']; ['OB(O)c1cccc(O)c1']; [0.954719782]
-C[C@@H](C[NH+](C)C)Oc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-[NH3+]CCCc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Cn1cncc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-OCc1cccc(-c2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-c1cc(Nc2ccc3n[nH]cc3c2)ccn1; ['Brc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; ['Nc1ccncc1', 'Nc1ccncc1']; [0.998881876, 0.998881876]
-Cn1cc(-c2ccc3n[nH]cc3c2)cn1; ['Brc1ccc2n[nH]cc2c1']; ['Cn1cc(B(O)O)cn1']; [0.995849848]
-c1coc(-c2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc3n[nH]cc3c2)C1; [None]; [None]; [0]
-CC(C)Nc1ccc2n[nH]cc2c1; ['Brc1ccc2n[nH]cc2c1']; ['CC(C)N']; [0.953978539]
-CC(C)c1oncc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1csc(-c2ccc3n[nH]cc3c2)c1; ['Brc1cccs1', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'OB(O)c1cccs1']; [0.999975562, 0.999975562]
-N#CCCc1cccc(-c2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-CSc1nc(-c2ccc3n[nH]cc3c2)c[nH]1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4n[nH]cc4c3)cc2s1; [None]; [None]; [0]
-c1ncc2c(-c3ccc4n[nH]cc4c3)csc2n1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Fc1ccc(-c2ccc3n[nH]cc3c2)c(C(F)(F)F)c1; ['Brc1ccc2n[nH]cc2c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.994902134]
-CS(=O)(=O)C1CCN(c2ccc3n[nH]cc3c2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Fc1ccc2n[nH]cc2c1']; [0.909445882]
-Cn1cc(-c2ccc3n[nH]cc3c2)c2ccccc21; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccc3n[nH]cc3c2)cc1; [None]; [None]; [0]
-CCC(=O)Nc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc3n[nH]cc3c2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Ic1ccc2n[nH]cc2c1']; [0.962777138]
-COc1ccc(-c2ccc3n[nH]cc3c2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2ccc3n[nH]cc3c2)no1; [None]; [None]; [0]
-c1cc2n[nH]cc2cc1-c1cnoc1; [None]; [None]; [0]
-C[C@H](c1ccc2n[nH]cc2c1)C(F)(F)F; [None]; [None]; [0]
-O=c1cc(-c2ccc3n[nH]cc3c2)cc[nH]1; [None]; [None]; [0]
-c1ccn2ncc(-c3ccc4n[nH]cc4c3)c2c1; [None]; [None]; [0]
-O=c1cc(-c2ccc3n[nH]cc3c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-CCCn1cc(-c2ccc3n[nH]cc3c2)cn1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-COc1cc(CCc2ccc3n[nH]cc3c2)cc(OC)c1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccc4n[nH]cc4c3)c21; [None]; [None]; [0]
-CCOC(=O)Cc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccc3n[nH]cc3c2)ccc1Cl; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccc3n[nH]cc3c2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3ccc4n[nH]cc4c3)cc12; [None]; [None]; [0]
-CCN(CC)c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc3n[nH]cc3c2)cc1; ['Brc1ccc2n[nH]cc2c1']; ['CS(=O)c1ccc(B(O)O)cc1']; [0.982974946]
-c1ccc2ncc(Nc3ccc4n[nH]cc4c3)cc2c1; ['Brc1ccc2n[nH]cc2c1']; ['Nc1cnc2ccccc2c1']; [0.999801338]
-COc1ccncc1Nc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1ccc2c(-c3ccc4n[nH]cc4c3)c[nH]c2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1cc2c(-c3ccc4n[nH]cc4c3)c[nH]c2cn1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc3n[nH]cc3c2)C1; [None]; [None]; [0]
-c1cc2cc(-c3ccc4n[nH]cc4c3)cnc2[nH]1; [None]; [None]; [0]
-CC1(c2ccc3n[nH]cc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc3n[nH]cc3c2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc3n[nH]cc3c2)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3n[nH]cc3c2)cc1; ['Brc1ccc2n[nH]cc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; [0.999996066, 0.999996066]
-N#C[C@@H]1CC[C@@H](c2ccc3n[nH]cc3c2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc3n[nH]cc3c2)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3n[nH]cc3c2)cc1; [None]; [None]; [0]
-c1cc(N2CCOCC2)ccc1-c1ccc2n[nH]cc2c1; ['Brc1ccc2n[nH]cc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999999046, 0.999999046, 0.999999046]
-CNS(=O)(=O)c1ccc(-c2ccc3n[nH]cc3c2)cc1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; ['CNS(=O)(=O)c1ccc(Br)cc1']; [0.999888897]
-OCc1ccn(-c2ccc3n[nH]cc3c2)n1; [None]; [None]; [0]
-Cc1cc(-c2ccc3n[nH]cc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCCc1cn(-c2ccc3n[nH]cc3c2)cn1; [None]; [None]; [0]
-C[C@H](Nc1ccc2n[nH]cc2c1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccc2n[nH]cc2c1)C(C)(C)C; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2n[nH]cc2c1)C(C)(C)O; [None]; [None]; [0]
-Oc1ncccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1nc(-c2ccc3n[nH]cc3c2)n[nH]1; [None]; [None]; [0]
-c1ncn(-c2ccc(-c3ccc4n[nH]cc4c3)cc2)n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3n[nH]cc3c2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3n[nH]cc3c2)c(OC)c1; ['Brc1ccc2n[nH]cc2c1']; ['COc1ccc(B(O)O)c(OC)c1']; [0.971950591]
-Oc1ccc2nc(-c3ccc4n[nH]cc4c3)[nH]c2c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-c1cc(Cc2ccc3n[nH]cc3c2)ccn1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccc3n[nH]cc3c2)cc1; ['Brc1ccc2n[nH]cc2c1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.994520485]
-O=C(CCc1ccc2n[nH]cc2c1)NCc1ccccn1; [None]; [None]; [0]
-c1cc2n[nH]cc2cc1-c1nncn1C1CC1; [None]; [None]; [0]
-c1cn(-c2ccc3n[nH]cc3c2)cn1; ['Brc1ccc2n[nH]cc2c1']; ['c1c[nH]cn1']; [0.998494387]
-Cn1cnnc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2n[nH]cc2c1)C(C)(C)C; ['Brc1ccc2n[nH]cc2c1']; ['C[C@@H](N)C(C)(C)C']; [0.98089534]
-CCc1cc(-c2ccc3n[nH]cc3c2)nc(N)n1; [None]; [None]; [0]
-c1cc2n[nH]cc2cc1OC1CCOCC1; [None]; [None]; [0]
-Nc1nnc(-c2ccc3n[nH]cc3c2)s1; ['NNC(N)=S']; ['O=C(O)c1ccc2n[nH]cc2c1']; [0.997507811]
-CCCCc1cc(-c2ccc3n[nH]cc3c2)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4n[nH]cc4c3)nn2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3n[nH]cc3c2)s1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1']; ['Nc1ncc(Br)s1', 'Nc1nccs1']; [0.999994278, 0.999994278]
-Cc1cncc(-c2ccc3n[nH]cc3c2)n1; [None]; [None]; [0]
-c1cc2n[nH]cc2cc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3n[nH]cc3c2)s1; [None]; [None]; [0]
-c1ccc2sc(-c3ccc4n[nH]cc4c3)nc2c1; ['Brc1nc2ccccc2s1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; [0.999994874]
-NC(=O)N1CCC[C@@H]1c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccc2n[nH]cc2c1; ['Brc1ccc2n[nH]cc2c1']; ['COc1cccc(F)c1B(O)O']; [0.995769262]
-c1cc2n[nH]cc2cc1CC1CCOCC1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc3n[nH]cc3c2)[nH]1; [None]; [None]; [0]
-c1cc(-c2ccc3n[nH]cc3c2)c2sccc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3n[nH]cc3c2)c(=O)n1C; [None]; [None]; [0]
-Nc1nc(-c2ccc3n[nH]cc3c2)nc2ccccc12; [None]; [None]; [0]
-c1ccc2nc(-c3ccc4n[nH]cc4c3)ncc2c1; [None]; [None]; [0]
-c1cc2cnc(-c3ccc4n[nH]cc4c3)nc2[nH]1; ['Ic1ccc2n[nH]cc2c1']; ['c1ncc2cc[nH]c2n1']; [0.972075343]
-c1cc(N2CCOCC2)c(-c2ccc3n[nH]cc3c2)cn1; [None]; [None]; [0]
-c1cncc(Cc2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc4n[nH]cc4c3)c[nH]c2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
-CC(C)(C)CNc1ccc2n[nH]cc2c1; ['Brc1ccc2n[nH]cc2c1']; ['CC(C)(C)CN']; [0.987868607]
-O[C@H]1CC[C@@H](Oc2ccc3n[nH]cc3c2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-CC(C)(C)Oc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ccc3n[nH]cc3c2)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc3n[nH]cc3c2)c1; ['Brc1ccc2n[nH]cc2c1']; ['Cc1cc(C)cc(B(O)O)c1']; [0.998544097]
-COc1ccc(OC)c(-c2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3n[nH]cc3c2)C1; ['Brc1ccc2n[nH]cc2c1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.991578]
-c1ccc2[nH]c(C3CCN(c4ccc5n[nH]cc5c4)CC3)nc2c1; ['Brc1ccc2n[nH]cc2c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.998174071]
-CN(C)c1cc(-c2ccc3n[nH]cc3c2)cnn1; [None]; [None]; [0]
-c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['Brc1ccccc1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccccc1']; [0.999879241, 0.999879241]
-Cc1nnc(-c2ccccc2-c2ccc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc2[nH]ncc2c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-Cc1cccc(-c2ccc3[nH]ncc3c2)c1; ['Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cccc(I)c1', 'Cc1cccc(Br)c1', 'Brc1ccc2[nH]ncc2c1', 'Cc1cccc(B(O)O)c1']; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cccc(Br)c1', 'Cc1cccc(I)c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Cc1cccc(B(O)O)c1', 'Ic1ccc2[nH]ncc2c1']; [0.99999547, 0.99999547, 0.99999547, 0.99999547, 0.99999547, 0.99999547, 0.99999547, 0.99999547]
-c1cc2[nH]ncc2cc1C1CCOCC1; [None]; [None]; [0]
-c1cc2[nH]ncc2cc1C1CCCCC1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ccc3[nH]ncc3c2)CO1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc3[nH]ncc3c2)cs1; [None]; [None]; [0]
-c1cc2[nH]ncc2cc1CC1CCCCC1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc2[nH]ncc2c1; [None]; [None]; [0]
-COc1cnc(-c2ccc3[nH]ncc3c2)nc1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2ccc3[nH]ncc3c2)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc3[nH]ncc3c2)s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2[nH]ncc2c1; ['Brc1ccc2[nH]ncc2c1']; ['Cc1cn2ccccc2n1']; [0.999910474]
-c1nc(CCNc2ccc3[nH]ncc3c2)c[nH]1; ['Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.99946624, 0.99946624]
-COC(=O)[C@@H](N)Cc1ccc2[nH]ncc2c1; [None]; [None]; [0]
-CCCCc1ccc2[nH]ncc2c1; []; []; []
-c1ccc(CCNc2ccc3[nH]ncc3c2)cc1; ['ClCCc1ccccc1']; ['Nc1ccc2[nH]ncc2c1']; [0.999407053]
-Nc1[nH]nc2cc(-c3ccc4[nH]ncc4c3)ccc12; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.999999762]
-CCC(C)(C)c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4[nH]ncc4c3)ccc21; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21', 'Brc1ccc2[nH]ncc2c1', 'Cn1ncc2cc(Br)ccc21']; ['Cn1ncc2cc(Br)ccc21', 'Ic1ccc2[nH]ncc2c1', 'Cn1ncc2cc(B(O)O)ccc21', 'OB(O)c1ccc2[nH]ncc2c1']; [0.999999762, 0.999999762, 0.999999762, 0.999999762]
-O=C([O-])Cc1cccc(-c2ccc3[nH]ncc3c2)c1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc2[nH]ncc2c1; [None]; [None]; [0]
-[NH3+]CCCc1ccc2[nH]ncc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc4[nH]ncc4c3)cc2)cn1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3[nH]ncc3c2)n1; [None]; [None]; [0]
-CSc1nc(-c2ccc3[nH]ncc3c2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc2[nH]ncc2c1; []; []; []
-CCNc1nc2ccc(-c3ccc4[nH]ncc4c3)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc3[nH]ncc3c2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Fc1ccc2[nH]ncc2c1']; [0.989573777]
-[NH3+][C@H]1CCC[C@@H](c2ccc3[nH]ncc3c2)C1; [None]; [None]; [0]
-c1ncc2c(-c3ccc4[nH]ncc4c3)csc2n1; [None]; [None]; [0]
-C[C@H](c1ccc2[nH]ncc2c1)C(F)(F)F; [None]; [None]; [0]
-O=c1cc(-c2ccc3[nH]ncc3c2)cc[nH]1; ['O=c1cc(Br)cc[nH]1']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999926567]
-Cn1cc(-c2ccc3[nH]ncc3c2)c2ccccc21; [None]; [None]; [0]
-O=c1cc(-c2ccc3[nH]ncc3c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-COc1cc(CCc2ccc3[nH]ncc3c2)cc(OC)c1; [None]; [None]; [0]
-c1ccn2ncc(-c3ccc4[nH]ncc4c3)c2c1; [None]; [None]; [0]
-c1cc2cc(-c3ccc4[nH]ncc4c3)cnc2[nH]1; ['Brc1cnc2[nH]ccc2c1']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999994755]
-O=C([O-])c1cc(-c2ccc3[nH]ncc3c2)ccc1Cl; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2[nH]ncc2c1; [None]; [None]; [0]
-CC1(c2ccc3[nH]ncc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-c1cc(N2CCOCC2)ccc1-c1ccc2[nH]ncc2c1; ['Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C']; [1.0, 1.0, 1.0, 1.0]
-CNC(=O)c1c(F)cccc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc3[nH]ncc3c2)C1; [None]; [None]; [0]
-OCc1ccn(-c2ccc3[nH]ncc3c2)n1; [None]; [None]; [0]
-OCCc1cn(-c2ccc3[nH]ncc3c2)cn1; ['Ic1ccc2[nH]ncc2c1']; ['OCCc1c[nH]cn1']; [0.999544561]
-Cc1cc(-c2ccc3[nH]ncc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ccc2[nH]ncc2c1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ccc2[nH]ncc2c1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccc2[nH]ncc2c1)C(C)(C)C; ['C[C@H](N)C(C)(C)C', 'C[C@H](N)C(C)(C)C', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'C[C@H](N)C(C)(C)C']; [0.999057829, 0.999057829, 0.999057829]
-c1ncn(-c2ccc(-c3ccc4[nH]ncc4c3)cc2)n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
-c1nc(-c2ccc3[nH]ncc3c2)n[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc2[nH]ncc2c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2[nH]ncc2c1; ['Cc1nc[nH]c1Br']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999874711]
-CC(C)n1cnnc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-c1cc2[nH]ncc2cc1-c1nncn1C1CC1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2[nH]ncc2c1)C(C)(C)C; [None]; [None]; [0]
-O=C(CCc1ccc2[nH]ncc2c1)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-c2ccc3[nH]ncc3c2)nc(N)n1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CCc1cc(Cl)nc(N)n1']; ['CCc1cc(Cl)nc(N)n1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.99998939, 0.99998939]
-CCCCc1cc(-c2ccc3[nH]ncc3c2)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4[nH]ncc4c3)nn2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3[nH]ncc3c2)s1; ['CNC(=O)c1ccc(Br)s1']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.999995828]
-c1cc2[nH]ncc2cc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccc2[nH]ncc2c1; [None]; [None]; [0]
-c1ccc2nc(-c3ccc4[nH]ncc4c3)ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C']; ['Clc1ncc2ccccc2n1']; [0.999927044]
-c1cc2[nH]ncc2cc1CC1CCOCC1; [None]; [None]; [0]
-c1cc2cnc(-c3ccc4[nH]ncc4c3)nc2[nH]1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1ncc2cc[nH]c2n1', 'Ic1ccc2[nH]ncc2c1']; ['Clc1ncc2cc[nH]c2n1', 'OB(O)c1ccc2[nH]ncc2c1', 'c1ncc2cc[nH]c2n1']; [0.999995947, 0.999995947, 0.999995947]
-CC(=O)Nc1ncc(-c2ccc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2ccc3[nH]ncc3c2)c(=O)n1C; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2ccc3[nH]ncc3c2)cn1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc3[nH]ncc3c2)cnn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc2[nH]ncc2c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ccc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-COC(C)(C)CCc1ccncc1; [None]; [None]; [0]
-c1ccc(-c2ccncc2)cc1; []; []; []
-Cc1nnc(-c2ccccc2-c2ccncc2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccncc1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccncc1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccncc1; [None]; [None]; [0]
-Cc1cccc(-c2ccncc2)c1; ['Cc1cccc(Br)c1', 'Brc1ccncc1', 'Cc1cccc(I)c1', 'Cc1cccc(Cl)c1', 'Cc1cccc([Mg]Br)c1']; ['OB(O)c1ccncc1', 'Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'OB(O)c1ccncc1', 'OB(O)c1ccncc1', 'Clc1ccncc1']; [0.999876, 0.999876, 0.999876, 0.999876, 0.999876]
-c1cc(C2CCOCC2)ccn1; ['BrC1CCOCC1', 'Br[Zn]C1CCOCC1']; ['Brc1ccncc1', 'Brc1ccncc1']; [0.997379303, 0.997379303]
-CC(C)(C)c1nc(-c2ccncc2)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1ccncc1']; [0.999999642]
-c1cc(C2CCCCC2)ccn1; ['Br[Zn]C1CCCCC1', 'BrC1CCCCC1']; ['Brc1ccncc1', 'Br[Mg]c1ccncc1']; [0.991158068, 0.991158068]
-O=C([O-])c1ccccc1-c1ccncc1; [None]; [None]; [0]
-COc1cnc(-c2ccncc2)nc1; [None]; [None]; [0]
-c1cc(CC2CCCCC2)ccn1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccncc1; ['Brc1ccncc1']; ['Cc1nc2ccccn2c1C(=O)O']; [0.986098409]
-OC[C@@H]1CC[C@@H](c2ccncc2)CO1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccncc2)s1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccncc1; ['CC(C)C(=O)CBr']; ['Oc1ccncc1']; [0.988863945]
-c1cc(NCCc2c[nH]cn2)ccn1; ['Clc1ccncc1', 'Fc1ccncc1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.998451591, 0.998451591]
-CCC(C)(C)c1ccncc1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2ccncc2)c1; [None]; [None]; [0]
-CCCCc1ccncc1; ['Brc1ccncc1']; ['CCCCBr']; [0.957378209]
-O=C([O-])Cc1cccc(-c2ccncc2)c1; ['CC1(C)OB(c2ccncc2)OC1(C)C']; ['O=C([O-])Cc1ccccc1']; [0.789289594]
-COC(=O)[C@@H](N)Cc1ccncc1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccncc3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['OB(O)c1ccncc1']; [0.999950171]
-c1ccc(CCNc2ccncc2)cc1; ['Clc1ccncc1', 'ClCCc1ccccc1']; ['NCCc1ccccc1', 'Nc1ccncc1']; [0.997410953, 0.997410953]
-Cn1cc(-c2ccc(-c3ccncc3)cc2)cn1; ['Brc1ccc(-c2ccncc2)cc1']; ['Cn1cc(B(O)O)cn1']; [0.992897]
-C[C@@H](C[NH+](C)C)Oc1ccncc1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccncc3)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2ccncc2)n1; [None]; [None]; [0]
-[NH3+]CCCc1ccncc1; [None]; [None]; [0]
-CSc1nc(-c2ccncc2)c[nH]1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccncc2)C1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccncc3)cc2s1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccncc1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccncc2)CC1; ['Brc1ccncc1']; ['CS(=O)(=O)C1CCNCC1']; [0.997382]
-c1cc(-c2csc3ncncc23)ccn1; [None]; [None]; [0]
-FC(F)(F)Oc1ccncc1; [None]; [None]; [0]
-Cn1cc(-c2ccncc2)c2ccccc21; [None]; [None]; [0]
-C[C@H](c1ccncc1)C(F)(F)F; [None]; [None]; [0]
-O=c1cc(-c2ccncc2)cc[nH]1; [None]; [None]; [0]
-c1ccn2ncc(-c3ccncc3)c2c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccncc1; ['CC(C)(C)N=C=O', 'CC(C)(C)N']; ['Nc1ccncc1', 'O=C(Nc1ccncc1)OCC(F)(F)F']; [0.998985827, 0.998985827]
-O=c1cc(-c2ccncc2)ccn1[C@@H2]CO; [None]; [None]; [0]
-COc1cc(CCc2ccncc2)cc(OC)c1; ['COc1cc(CBr)cc(OC)c1', 'BrCc1ccncc1']; ['Cc1ccncc1', 'COc1cc(C)cc(OC)c1']; [0.91817528, 0.91817528]
-c1cc(-c2cnc3[nH]ccc3c2)ccn1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Clc1ccncc1']; [0.999945164]
-CNC(=O)c1c(F)cccc1-c1ccncc1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccncc2)ccc1Cl; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccncc2)CC1; [None]; [None]; [0]
-CC1(c2ccncc2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-c1cc(-c2ccc(N3CCOCC3)cc2)ccn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C']; ['Ic1ccncc1']; [0.999997616]
-O=C(O)N[C@@H]1CC[C@@H](c2ccncc2)C1; [None]; [None]; [0]
-OCc1ccn(-c2ccncc2)n1; ['Ic1ccncc1']; ['OCc1cc[nH]n1']; [0.991586089]
-OCCc1cn(-c2ccncc2)cn1; ['Ic1ccncc1']; ['OCCc1c[nH]cn1']; [0.997530043]
-Cc1cc(-c2ccncc2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ccncc1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccncc1)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Fc1ccncc1']; [0.856146932]
-C[C@@H](Nc1ccncc1)C(C)(C)O; [None]; [None]; [0]
-c1cc(-c2nc[nH]n2)ccn1; ['COC(OC)N(C)C']; ['NC(=O)c1ccncc1']; [0.873566806]
-c1cc(-c2ccc(-n3cncn3)cc2)ccn1; ['Brc1ccc(-c2ccncc2)cc1']; ['c1nc[nH]n1']; [0.999975443]
-Cc1nc[nH]c1-c1ccncc1; ['Cc1nc[nH]c1Cl', 'Brc1ccncc1']; ['OB(O)c1ccncc1', 'Cc1c[nH]cn1']; [0.982385814, 0.982385814]
-CSc1nc(C)c(-c2ccncc2)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccncc1; [None]; [None]; [0]
-Cn1cnnc1-c1ccncc1; []; []; []
-C[C@H](CO)n1cnnc1-c1ccncc1; [None]; [None]; [0]
-O=C(CCc1ccncc1)NCc1ccccn1; ['CCOC(=O)CCc1ccncc1']; ['NCc1ccccn1']; [0.994881511]
-C[C@@H](Nc1ccncc1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Fc1ccncc1']; [0.856146932]
-CC(C)n1cnnc1-c1ccncc1; [None]; [None]; [0]
-CCc1cc(-c2ccncc2)nc(N)n1; [None]; [None]; [0]
-c1cc(-c2nncn2C2CC2)ccn1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccncc3)nn2)cc1; ['BrCc1ccccc1']; ['C#Cc1ccncc1']; [0.999999404]
-c1cc(-c2csc(N3CCOCC3)n2)ccn1; ['NC(=S)N1CCOCC1']; ['O=C(CBr)c1ccncc1']; [1.0]
-CCCCc1cc(-c2ccncc2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccncc2)s1; ['CNC(=O)c1ccc(Br)s1']; ['OB(O)c1ccncc1']; [0.999988556]
-CC(=O)Nc1ncc(-c2ccncc2)[nH]1; [None]; [None]; [0]
-c1cc(CC2CCOCC2)ccn1; ['BrCC1CCOCC1', 'BrCC1CCOCC1']; ['Brc1ccncc1', 'OB(O)c1ccncc1']; [0.96149075, 0.96149075]
-NC(=O)N1CCC[C@@H]1c1ccncc1; [None]; [None]; [0]
-c1ccc2nc(-c3ccncc3)ncc2c1; ['BrCc1ccccc1Br']; ['O=Cc1ccncc1']; [0.979561031]
-Cn1cc(-c2ccncc2)c(=O)n1C; [None]; [None]; [0]
-c1cc(-c2cnccc2N2CCOCC2)ccn1; [None]; [None]; [0]
-c1cc(-c2ncc3cc[nH]c3n2)ccn1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ccncc2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccncc1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccncc2)cnn1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Cn1c(-c2c[nH]c3ncc(Cl)cc23)nc2ccccc21; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3ccccc3)c2c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)c(F)c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3cn[nH]c3Cl)c2c1; [None]; [None]; [0]
-Cc1ccccc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
-Clc1ccc(CCc2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3c(Cl)ccc4c3OCO4)c2c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-NC(=O)c1cc(-c2c[nH]c3ncc(Cl)cc23)c[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3c[nH]c4ncc(Cl)cc34)ccc12; [None]; [None]; [0]
-COCCCc1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3nnco3)c2c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3cnc4[nH]ccc4c3)c2c1; [None]; [None]; [0]
-Cc1nnc(-c2c[nH]c3ncc(Cl)cc23)o1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(C3CCOCC3)c2c1; [None]; [None]; [0]
-Fc1cnc(-c2c[nH]c3ncc(Cl)cc23)nc1; [None]; [None]; [0]
-CNc1nccc(-c2c[nH]c3ncc(Cl)cc23)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3ccc(Br)o3)c2c1; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c3ncc(Cl)cc23)n[nH]1; [None]; [None]; [0]
-[O-]c1cccc(-c2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3c[nH]c4ncc(Cl)cc34)c2c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(-c3nncs3)c2c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c3ncc(Cl)cc23)ccc1C(N)=O; [None]; [None]; [0]
-Cc1n[nH]c(-c2c[nH]c3ncc(Cl)cc23)c1C; [None]; [None]; [0]
-Clc1cnc2[nH]cc(CCc3c[nH]c4ccccc34)c2c1; [None]; [None]; [0]
-Clc1cnc2[nH]cc(OCc3cccc4ccccc34)c2c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Fc1ccc(COc2c[nH]c3ncc(Cl)cc23)c(F)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccccc2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1ccccc1']; [0.995677292]
-Cc1onc(-c2ccccc2)c1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-COC(C)(C)CCc1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-Fc1ccc(CCc2c[nH]c3ncc(Cl)cc23)c(F)c1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@@H]2C[C@H](O)C2)ccn1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccccc2S(=O)(=O)C(C)C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccnc3ccccc23)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1ccnc2ccccc12']; [0.994340301]
-CC(=O)Nc1cc(-c2ccccc2-c2nnc(C)[nH]2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccccc2P(C)(C)=O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(Cc2cc(F)cc(F)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(C(F)(F)F)c2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.998846531]
-CC(=O)Nc1cc(-c2cc[nH]n2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(C2CCOCC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(C)c2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['Cc1cccc(B(O)O)c1']; [0.996263206]
-CC(=O)Nc1cc(-c2ccccc2Br)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1ccccc1Br']; [0.990975916]
-CC(=O)Nc1cc(-c2ccccc2F)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1ccccc1F']; [0.998118818]
-CC(=O)Nc1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccccc2C#N)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['N#Cc1ccccc1B(O)O']; [0.999526]
-CC(=O)Nc1cc(-c2ccccc2Cl)ccn1; ['CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'OB(O)c1ccccc1Cl']; [0.999599874, 0.999599874]
-CC(=O)Nc1cc(-c2ccccc2C(=O)[O-])ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccccc2C(N)=O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccccc2OC(F)(F)F)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999649048]
-CC(=O)Nc1cc(-c2cnc(-c3ccccc3)[nH]2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnn(Cc3ccccc3)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(F)cccc2F)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccncn2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnn(CCO)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@@H](N)c2ccco2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2csc(C(C)(C)C)n2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(NC(=O)c3ccccc3)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@@H]2CC[C@@H](CO)OC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(C2CCCCC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(c2)CCC3)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(CC2CCCCC2)ccn1; [None]; [None]; [0]
-COc1cnc(-c2ccnc(NC(C)=O)c2)nc1; [None]; [None]; [0]
-CC(=O)Nc1cc(OCC(=O)C(C)C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnco2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C)cc2Br)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(C)nc3ccccn23)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2sc(C)nc2C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc3ccccn23)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc3cccnn23)ccn1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccnc(NC(C)=O)c2)s1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2sc(N)nc2C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(Cl)cccc2Cl)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.946920931]
-CC(=O)Nc1cc(NC(C)(C)C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(Cn3cncn3)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(Cl)c2Cl)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1cccc(Cl)c1Cl']; [0.984341085]
-CC(=O)Nc1cc(-c2cc(C)ccc2Cl)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.979280293]
-CC(=O)Nc1cc(OC2CCCCC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc(C)[nH]2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(NCc2cccnc2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['NCc1cccnc1']; [0.938854456]
-COc1cccc(-c2ccnc(NC(C)=O)c2)c1; ['CC(=O)Nc1cc(Cl)ccn1']; ['COc1cccc(B(O)O)c1']; [0.998537421]
-CC(=O)Nc1cc(-c2ccnc(N)n2)ccn1; [None]; [None]; [0]
-CCC(C)(C)c1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3ccccc3c2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1ccc2ccccc2c1']; [0.999165177]
-CC(=O)Nc1cc(Nc2cccnc2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(N[C@H](C)CO)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['C[C@@H](N)CO']; [0.998435199]
-CC(=O)Nc1cc(NCCc2c[nH]cn2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['NCCc1c[nH]cn1']; [0.998108387]
-CC(=O)Nc1cc(-c2ccc(Cl)s2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(OCC(C)C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(NC(=O)c2cccs2)ccn1; ['CC(N)=O']; ['O=C(Nc1ccnc(Cl)c1)c1cccs1']; [0.999253452]
-CC(=O)Nc1cc(-n2cnc3ccccc32)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(O[C@H](C)[C@@H](C)O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cncc3ccccc23)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1cncc2ccccc12']; [0.99949193]
-COC(=O)[C@@H](N)Cc1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-CCCCc1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(CC(=O)[O-])c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(-c3cnn(C)c3)cc2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(N)[nH]nc3c2)ccn1; [None]; [None]; [0]
-CCCn1cnc(-c2ccnc(NC(C)=O)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1cc(NCCc2ccccc2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['NCCc1ccccc1']; [0.990484715]
-CC(=O)Nc1cc(O[C@@H](C)C[NH+](C)C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(cnn3C)c2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999966145]
-CC(=O)Nc1cc(-c2cccc(O)c2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1cccc(O)c1']; [0.994904876]
-CC(=O)Nc1cc(-c2cccc(CO)c2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OCc1cccc(B(O)O)c1']; [0.990238309]
-CC(=O)Nc1cc(CCC[NH3+])ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(Nc2ccncc2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['Nc1ccncc1']; [0.9872154]
-CC(=O)Nc1cc([C@@H]2CCC[C@H]([NH3+])C2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cncn2C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccs2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnn(C)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccco2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(NC(C)C)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['CC(C)N']; [0.994989455]
-CSc1nc(-c2ccnc(NC(C)=O)c2)c[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnoc2C(C)C)ccn1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccnc(NC(C)=O)c3)cc2s1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2csc3ncncc23)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(CCC#N)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(OC(F)(F)F)ccn1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(F)cc2C(F)(F)F)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999800861]
-CC(=O)Nc1cc(N2CCC(S(C)(=O)=O)CC2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['CS(=O)(=O)C1CCNCC1']; [0.980110645]
-CC(=O)Nc1cccc(-c2ccnc(NC(C)=O)c2)c1; ['CC(=O)Nc1cc(Cl)ccn1']; ['CC(=O)Nc1cccc(B(O)O)c1']; [0.998807549]
-COc1ccc(-c2ccnc(NC(C)=O)c2)cc1Cl; ['CC(=O)Nc1cc(Cl)ccn1']; ['COc1ccc(B(O)O)cc1Cl']; [0.999697924]
-CC(=O)Nc1cc(-c2cn(C)c3ccccc23)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@@H](C)C(F)(F)F)ccn1; [None]; [None]; [0]
-CCC(=O)Nc1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnn3ccccc23)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnoc2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(C)on2)ccn1; [None]; [None]; [0]
-CCCn1cc(-c2ccnc(NC(C)=O)c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccn([C@@H2]CO)c(=O)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc[nH]c(=O)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(NC(=O)NC(C)(C)C)ccn1; [None]; [None]; [0]
-COc1cc(CCc2ccnc(NC(C)=O)c2)cc(OC)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc3c2C(=O)CC3)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(C)(C)N)cc2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(Cl)c(C(=O)[O-])c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc3c(=O)[nH]ccc3o2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc([S@](C)=O)cc2)ccn1; [None]; [None]; [0]
-CCOC(=O)Cc1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c[nH]c3ccccc23)ccn1; [None]; [None]; [0]
-CCN(CC)c1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(Nc2cnc3ccccc3c2)ccn1; [None]; [None]; [0]
-COc1ccncc1Nc1ccnc(NC(C)=O)c1; ['CC(=O)Nc1cc(Cl)ccn1']; ['COc1ccncc1N']; [0.999535561]
-CC(=O)Nc1cc(-c2c[nH]c3cnccc23)ccn1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@H](CO)Cc2ccccc2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc3[nH]ccc3c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(C2(C)CCN(S(C)(=O)=O)CC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@@H]2CC[C@@H](NC(=O)O)C2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@@H]2CCCN(C(=O)CC#N)C2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@@H]2CC[C@@H](C#N)CC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@@H]2CC[C@@H](CC#N)CC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; [0.99996376]
-CC(=O)Nc1cc([C@@H]2CC[C@@H](CCC#N)CC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@H]2COCC[C@@H]2C#N)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(S(C)(=O)=O)cc2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999980092]
-CC(=O)Nc1cc(-c2ccc(N3CCOCC3)cc2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C']; [0.99999845, 0.99999845]
-CNS(=O)(=O)c1ccc(-c2ccnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cc(-n2ccc(CO)n2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-n2cnc(CCO)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(C)nn2-c2cccc(Cl)c2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(N[C@@H](C)C(C)(C)O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(N[C@@H](C)C(C)(C)C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(N[C@H](C)C(C)(C)O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-n2ncc3ccccc32)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(F)c2C(N)=O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-n2ncc3c(O)cccc32)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccnc2O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nc[nH]n2)ccn1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccnc(NC(C)=O)c2)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(-n3cncn3)cc2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nc3ccc(O)cc3[nH]2)ccn1; [None]; [None]; [0]
-COc1ccc(-c2ccnc(NC(C)=O)c2)c(OC)c1; ['CC(=O)Nc1cc(Cl)ccn1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; [0.999843717]
-CC(=O)Nc1cc(-c2[nH]cnc2C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(Cc2ccncc2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nncn2C(C)C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(NCC(C)(C)[NH3+])ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(=O)c3ccccc3)cc2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nncn2[C@H](C)CO)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nncn2C2CC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(CCC(=O)NCc2ccccn2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nncn2C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(OC2CCOCC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-n2ccnc2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(N[C@H](C)C(C)(C)C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cn(Cc3ccccc3)nn2)ccn1; [None]; [None]; [0]
-CCc1cc(-c2ccnc(NC(C)=O)c2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ccnc(NC(C)=O)c2)nc(N)n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nnc(N)s2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc(N)s2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cncc(C)n2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@H]2CCCN2C(N)=O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2csc(N3CCOCC3)n2)ccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc(NC(C)=O)c2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nc3ccccc3s2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(CC2CCOCC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc(NC(C)=O)[nH]2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc3ccsc23)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nc(N)c3ccccc3n2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cn(C)n(C)c2=O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ncc3ccccc3n2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnccc2N2CCOCC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ncc3cc[nH]c3n2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c[nH]c3cccnc23)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(Cc2cccnc2)ccn1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(NCC(C)(C)C)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['CC(C)(C)CN']; [0.980275452]
-CC(=O)Nc1cc(O[C@@H]2CC[C@H](O)CC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(Cc2ccccc2NS(C)(=O)=O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(OC(C)(C)C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(C)cc(C)c2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['Cc1cc(C)cc(B(O)O)c1']; [0.999206364]
-CC(=O)Nc1cc([C@H]2CC[C@@](C)(O)CC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)ccn1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccnc(NC(C)=O)c2)c1; ['CC(=O)Nc1cc(Cl)ccn1']; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; [0.99968338]
-CC(=O)Nc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.977911413]
-CC(=O)Nc1cc(-c2cnnc(N(C)C)c2)ccn1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc(Cl)c3cccnc3c2O)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-c2ccccc2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(C2CCOCC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Cc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; ['Cc1cccc(B(O)O)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.998411775]
-CC(C)(C)c1nc(-c2cc(Cl)c3cccnc3c2O)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(C2CCCCC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(CC2CCCCC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-COc1cnc(-c2cc(Cl)c3cccnc3c2O)nc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cc(Cl)c3cccnc3c2O)CO1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc(Cl)c2cccnc2c1O; ['Cc1cn2ccccc2n1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.992656767]
-CC(C)C(=O)COc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc(Cl)c3cccnc3c2O)s1; [None]; [None]; [0]
-Oc1c(-c2cccc(Cn3cncn3)c2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CCC(C)(C)c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(NCCc2c[nH]cn2)cc(Cl)c2cccnc12; ['NCCc1c[nH]cn1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.990577102]
-CCCCc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cc(Cl)c4cccnc4c3O)ccc12; [None]; [None]; [0]
-Oc1c(NCCc2ccccc2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cc(Cl)c4cccnc4c3O)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(Cl)c4cccnc4c3O)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999990582]
-C[C@@H](C[NH+](C)C)Oc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-CCCn1cnc(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
-[NH3+]CCCc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-CSc1nc(-c2cc(Cl)c3cccnc3c2O)c[nH]1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc(Cl)c4cccnc4c3O)cc2s1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cc(Cl)c3cccnc3c2O)C1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(OC(F)(F)F)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2csc3ncncc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cc(Cl)c3cccnc3c2O)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.976725876]
-C[C@H](c1cc(Cl)c2cccnc2c1O)C(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2cc(Cl)c3cccnc3c2O)c2ccccc21; [None]; [None]; [0]
-O=c1cc(-c2cc(Cl)c3cccnc3c2O)cc[nH]1; [None]; [None]; [0]
-O=c1cc(-c2cc(Cl)c3cccnc3c2O)ccn1[C@@H2]CO; [None]; [None]; [0]
-Oc1c(-c2cnn3ccccc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
-COc1cc(CCc2cc(Cl)c3cccnc3c2O)cc(OC)c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cc(Cl)c3cccnc3c2O)ccc1Cl; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-c2cnc3[nH]ccc3c2)cc(Cl)c2cccnc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999993443]
-CC1(c2cc(Cl)c3cccnc3c2O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cc(Cl)c3cccnc3c2O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cc(Cl)c3cccnc3c2O)C1; [None]; [None]; [0]
-Oc1c(-c2ccc(N3CCOCC3)cc2)cc(Cl)c2cccnc12; ['OB(O)c1ccc(N2CCOCC2)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.999973536]
-Cc1cc(-c2cc(Cl)c3cccnc3c2O)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
-OCCc1cn(-c2cc(Cl)c3cccnc3c2O)cn1; [None]; [None]; [0]
-C[C@@H](Nc1cc(Cl)c2cccnc2c1O)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cc(Cl)c2cccnc2c1O)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cc(Cl)c2cccnc2c1O)C(C)(C)C; [None]; [None]; [0]
-Oc1c(-c2ccc(-n3cncn3)cc2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2nc[nH]n2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc(Cl)c3cccnc3c2O)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-c2nncn2C2CC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Cn1cnnc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-c2cn(Cc3ccccc3)nn2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-C[C@@H](Nc1cc(Cl)c2cccnc2c1O)C(C)(C)C; [None]; [None]; [0]
-O=C(CCc1cc(Cl)c2cccnc2c1O)NCc1ccccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(Cl)c3cccnc3c2O)s1; [None]; [None]; [0]
-CCCCc1cc(-c2cc(Cl)c3cccnc3c2O)nc(N)n1; [None]; [None]; [0]
-CCc1cc(-c2cc(Cl)c3cccnc3c2O)nc(N)n1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-Oc1c(-c2csc(N3CCOCC3)n2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(CC2CCOCC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Cn1cc(-c2cc(Cl)c3cccnc3c2O)c(=O)n1C; [None]; [None]; [0]
-Oc1c(-c2ncc3ccccc3n2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc(Cl)c3cccnc3c2O)[nH]1; [None]; [None]; [0]
-Oc1c(-c2ncc3cc[nH]c3n2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(O[C@@H]2CC[C@H](O)CC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-Oc1c(-c2cnccc2N2CCOCC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-c1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1']; ['OB(O)c1ccccc1']; [0.999449313]
-CS(=O)(=O)Nc1ccccc1Cc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
-CN(C)c1cc(-c2cc(Cl)c3cccnc3c2O)cnn1; [None]; [None]; [0]
-Cc1ccccc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['Cc1ccccc1B(O)O']; [0.99798727]
-Cc1cc(F)ccc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['Cc1cc(F)ccc1B(O)O']; [0.998329461]
-Cn1c(-c2cnc3nc[nH]c3c2)nc2ccccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3nc[nH]c3c2)c(F)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2cnc3nc[nH]c3c2)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['Cc1ccc2[nH]ncc2c1B(O)O']; [0.999757]
-Clc1ccc(CCc2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnc3nc[nH]c3c2)c[nH]1; [None]; [None]; [0]
-COCCCc1cnc2nc[nH]c2c1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cnc3nc[nH]c3c1)OCO2; [None]; [None]; [0]
-c1nc2ncc(-c3nnco3)cc2[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2cnc3nc[nH]c3c2)o1; [None]; [None]; [0]
-CNc1nccc(-c2cnc3nc[nH]c3c2)n1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnc4nc[nH]c4c3)ccc12; [None]; [None]; [0]
-c1nc2ncc(C3CCOCC3)cc2[nH]1; [None]; [None]; [0]
-c1nc2ncc(-c3cnc4[nH]ccc4c3)cc2[nH]1; [None]; [None]; [0]
-Brc1ccc(-c2cnc3nc[nH]c3c2)o1; ['Brc1ccco1']; ['Brc1cnc2nc[nH]c2c1']; [0.762852907]
-CCc1cc(O)c(F)cc1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-Nc1cc(-c2cnc3nc[nH]c3c2)n[nH]1; [None]; [None]; [0]
-Fc1cnc(-c2cnc3nc[nH]c3c2)nc1; [None]; [None]; [0]
-c1nc2ncc(-c3nncs3)cc2[nH]1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnc3nc[nH]c3c2)c1C; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cnc4nc[nH]c4c3)c2c1; [None]; [None]; [0]
-[O-]c1cccc(-c2cnc3nc[nH]c3c2)c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1']; ['O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999988794]
-Cc1cc(-c2cnc3nc[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
-c1ccc2c(CCc3cnc4nc[nH]c4c3)c[nH]c2c1; [None]; [None]; [0]
-c1ccc2c(COc3cnc4nc[nH]c4c3)cccc2c1; [None]; [None]; [0]
-Fc1ccc(CCc2cnc3nc[nH]c3c2)c(F)c1; [None]; [None]; [0]
-Fc1ccc(COc2cnc3nc[nH]c3c2)c(F)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ncnc2nc[nH]c12; ['CCOc1ccccc1B(O)O']; ['Clc1ncnc2nc[nH]c12']; [0.999213696]
-Clc1ccc(-c2[nH]ncc2-c2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
-c1ccc(-c2ncnc3nc[nH]c23)cc1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-COC(C)(C)CCc1ncnc2nc[nH]c12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ncnc3nc[nH]c23)[nH]1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2ncnc3nc[nH]c23)C1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1ccc2c(-c3ncnc4nc[nH]c34)ccnc2c1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ncnc3nc[nH]c23)c1; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.99990046]
-c1nc(C2CCOCC2)c2[nH]cnc2n1; [None]; [None]; [0]
-c1cncc(-c2ncnc3nc[nH]c23)c1; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1cccnc1']; [0.998085618]
-c1nc(-c2cc[nH]n2)c2[nH]cnc2n1; [None]; [None]; [0]
-Fc1ccccc1-c1ncnc2nc[nH]c12; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1ccccc1F']; [0.995074332]
-N#Cc1ccccc1-c1ncnc2nc[nH]c12; ['Clc1ncnc2nc[nH]c12']; ['N#Cc1ccccc1B(O)O']; [0.998997271]
-Clc1ccccc1-c1ncnc2nc[nH]c12; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1ccccc1Cl']; [0.993684947]
-Cc1cccc(-c2ncnc3nc[nH]c23)c1; ['Cc1cccc(B(O)O)c1']; ['Clc1ncnc2nc[nH]c12']; [0.998391807]
-FC(F)(F)Oc1ccccc1-c1ncnc2nc[nH]c12; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.998788774]
-c1ccc(Cn2cc(-c3ncnc4nc[nH]c34)cn2)cc1; ['Brc1cnn(Cc2ccccc2)c1']; ['c1ncc2[nH]cnc2n1']; [0.969408512]
-Brc1ccccc1-c1ncnc2nc[nH]c12; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1ccccc1Br']; [0.985050321]
-NC(=O)c1ccccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1cc(-c2ncnc3nc[nH]c23)ncn1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ncnc4nc[nH]c34)[nH]2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ncnc2nc[nH]c12; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1c(F)cccc1F']; [0.999707162]
-CC(C)(C)c1nc(-c2ncnc3nc[nH]c23)cs1; [None]; [None]; [0]
-OCCn1cc(-c2ncnc3nc[nH]c23)cn1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1ncnc2nc[nH]c12; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ncnc3nc[nH]c23)CO1; [None]; [None]; [0]
-c1nc(C2CCCCC2)c2[nH]cnc2n1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncnc3nc[nH]c23)c1)c1ccccc1; [None]; [None]; [0]
-c1nc(CC2CCCCC2)c2[nH]cnc2n1; [None]; [None]; [0]
-c1nc(-c2ccc3c(c2)CCC3)c2[nH]cnc2n1; [None]; [None]; [0]
-COc1cnc(-c2ncnc3nc[nH]c23)nc1; [None]; [None]; [0]
-Cc1ccc(-c2ncnc3nc[nH]c23)c(Br)c1; [None]; [None]; [0]
-c1nc(-c2cnco2)c2[nH]cnc2n1; [None]; [None]; [0]
-CC(C)C(=O)COc1ncnc2nc[nH]c12; ['CC(C)C(=O)CBr']; ['Oc1ncnc2nc[nH]c12']; [0.776076734]
-c1ccn2c(-c3ncnc4nc[nH]c34)cnc2c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-Cc1nc(C)c(-c2ncnc3nc[nH]c23)s1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ncnc3nc[nH]c23)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1cnn2c(-c3ncnc4nc[nH]c34)cnc2c1; [None]; [None]; [0]
-CC(C)(C)Nc1ncnc2nc[nH]c12; ['CC(C)(C)N']; ['Clc1ncnc2nc[nH]c12']; [0.999871373]
-Cc1ccc(Cl)c(-c2ncnc3nc[nH]c23)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1ncnc2nc[nH]c12']; [0.995084465]
-Clc1cccc(Cl)c1-c1ncnc2nc[nH]c12; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.965161443]
-c1nc(OC2CCCCC2)c2[nH]cnc2n1; ['Clc1ncnc2nc[nH]c12']; ['OC1CCCCC1']; [0.99415046]
-c1cc(Cn2cncn2)cc(-c2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
-c1cncc(CNc2ncnc3nc[nH]c23)c1; ['Clc1ncnc2nc[nH]c12']; ['NCc1cccnc1']; [0.999996662]
-Clc1cccc(-c2ncnc3nc[nH]c23)c1Cl; [None]; [None]; [0]
-CCC(C)(C)c1ncnc2nc[nH]c12; [None]; [None]; [0]
-Cc1ncc(-c2ncnc3nc[nH]c23)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2ncnc3nc[nH]c23)c1; ['COc1cccc(B(O)O)c1']; ['Clc1ncnc2nc[nH]c12']; [0.999570191]
-Nc1nccc(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
-c1cncc(Nc2ncnc3nc[nH]c23)c1; ['Clc1ncnc2nc[nH]c12']; ['Nc1cccnc1']; [0.999928832]
-Clc1ccc(-c2ncnc3nc[nH]c23)s1; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1ccc(Cl)s1']; [0.997925401]
-c1nc(NCCc2c[nH]cn2)c2[nH]cnc2n1; ['Clc1ncnc2nc[nH]c12']; ['NCCc1c[nH]cn1']; [0.998763442]
-c1ccc2cc(-c3ncnc4nc[nH]c34)ccc2c1; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1ccc2ccccc2c1']; [0.999933481]
-C[C@H](CO)Nc1ncnc2nc[nH]c12; ['C[C@@H](N)CO']; ['Clc1ncnc2nc[nH]c12']; [0.999853]
-c1ccc2c(c1)ncn2-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-O=C(Nc1ncnc2nc[nH]c12)c1cccs1; ['Clc1ncnc2nc[nH]c12']; ['NC(=O)c1cccs1']; [0.999795854]
-CC(C)COc1ncnc2nc[nH]c12; ['CC(C)CO']; ['Clc1ncnc2nc[nH]c12']; [0.934569836]
-COC(=O)[C@@H](N)Cc1ncnc2nc[nH]c12; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ncnc2nc[nH]c12; ['C[C@@H](O)[C@@H](C)O']; ['Clc1ncnc2nc[nH]c12']; [0.890622556]
-CCCCc1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1ccc2c(-c3ncnc4nc[nH]c34)cncc2c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ncnc4nc[nH]c34)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ncnc4nc[nH]c34)ccc21; ['Clc1ncnc2nc[nH]c12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999989748]
-c1ccc(CCNc2ncnc3nc[nH]c23)cc1; ['Clc1ncnc2nc[nH]c12']; ['NCCc1ccccc1']; [0.999780834]
-CCCn1cnc(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
-Oc1cccc(-c2ncnc3nc[nH]c23)c1; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1cccc(O)c1']; [0.999334276]
-[NH3+]CCCc1ncnc2nc[nH]c12; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ncnc4nc[nH]c34)ccc12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ncnc3nc[nH]c23)C1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ncnc2nc[nH]c12; [None]; [None]; [0]
-OCc1cccc(-c2ncnc3nc[nH]c23)c1; ['Clc1ncnc2nc[nH]c12']; ['OCc1cccc(B(O)O)c1']; [0.990401089]
-Cn1cncc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1cc(Nc2ncnc3nc[nH]c23)ccn1; ['Clc1ncnc2nc[nH]c12']; ['Nc1ccncc1']; [0.999981642]
-c1csc(-c2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
-c1coc(-c2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
-Cn1cc(-c2ncnc3nc[nH]c23)cn1; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [0.999931574, 0.999931574]
-CC(C)Nc1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12']; ['CC(C)N']; [0.995627284]
-CSc1nc(-c2ncnc3nc[nH]c23)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1nc(-c2csc3ncncc23)c2[nH]cnc2n1; [None]; [None]; [0]
-N#CCCc1cccc(-c2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ncnc4nc[nH]c34)cc2s1; [None]; [None]; [0]
-Fc1ccc(-c2ncnc3nc[nH]c23)c(C(F)(F)F)c1; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.99905628]
-CCC(=O)Nc1ccc(-c2ncnc3nc[nH]c23)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ncnc3nc[nH]c23)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1ncnc2nc[nH]c12']; [0.991943598]
-FC(F)(F)Oc1ncnc2nc[nH]c12; [None]; [None]; [0]
-Cn1cc(-c2ncnc3nc[nH]c23)c2ccccc21; [None]; [None]; [0]
-CCC(=O)Nc1ncnc2nc[nH]c12; ['CCC(=O)Cl']; ['Nc1ncnc2nc[nH]c12']; [0.988324046]
-CS(=O)(=O)C1CCN(c2ncnc3nc[nH]c23)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1ncnc2nc[nH]c12']; [0.98292923]
-C[C@H](c1ncnc2nc[nH]c12)C(F)(F)F; [None]; [None]; [0]
-c1ccn2ncc(-c3ncnc4nc[nH]c34)c2c1; [None]; [None]; [0]
-Cc1cc(-c2ncnc3nc[nH]c23)no1; [None]; [None]; [0]
-COc1ccc(-c2ncnc3nc[nH]c23)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Clc1ncnc2nc[nH]c12']; [0.998098791]
-CCCn1cc(-c2ncnc3nc[nH]c23)cn1; ['Brc1ncnc2nc[nH]c12']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999989629]
-c1nc(-c2cnoc2)c2[nH]cnc2n1; [None]; [None]; [0]
-O=c1cc(-c2ncnc3nc[nH]c23)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(-c2ncnc3nc[nH]c23)cc[nH]1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ncnc2nc[nH]c12; ['CC(C)(C)N=C=O']; ['Nc1ncnc2nc[nH]c12']; [0.996934891]
-O=C1CCc2cccc(-c3ncnc4nc[nH]c34)c21; [None]; [None]; [0]
-COc1cc(CCc2ncnc3nc[nH]c23)cc(OC)c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ncnc3nc[nH]c23)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1ncnc2nc[nH]c12; [None]; [None]; [0]
-CCN(CC)c1ncnc2nc[nH]c12; ['CCNCC']; ['Clc1ncnc2nc[nH]c12']; [0.997248709]
-O=C([O-])c1cc(-c2ncnc3nc[nH]c23)ccc1Cl; [None]; [None]; [0]
-COc1ccncc1Nc1ncnc2nc[nH]c12; ['COc1ccncc1N']; ['Clc1ncnc2nc[nH]c12']; [0.999993563]
-C[S@](=O)c1ccc(-c2ncnc3nc[nH]c23)cc1; ['Brc1ncnc2nc[nH]c12']; ['CS(=O)c1ccc(B(O)O)cc1']; [0.998840868]
-c1ccc2c(-c3ncnc4nc[nH]c34)c[nH]c2c1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3ncnc4nc[nH]c34)cc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1ccc2ncc(Nc3ncnc4nc[nH]c34)cc2c1; ['Clc1ncnc2nc[nH]c12']; ['Nc1cnc2ccccc2c1']; [0.99996531]
-c1cc2c(-c3ncnc4nc[nH]c34)c[nH]c2cn1; [None]; [None]; [0]
-CC1(c2ncnc3nc[nH]c23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1nc(-c2cnc3[nH]ccc3c2)c2[nH]cnc2n1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ncnc3nc[nH]c23)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ncnc3nc[nH]c23)C1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ncnc3nc[nH]c23)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ncnc3nc[nH]c23)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnc3nc[nH]c23)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ncnc2nc[nH]c12; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ncnc3nc[nH]c23)CC1; [None]; [None]; [0]
-c1nc(-c2ccc(N3CCOCC3)cc2)c2[nH]cnc2n1; ['Clc1ncnc2nc[nH]c12']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.998769701]
-CS(=O)(=O)c1ccc(-c2ncnc3nc[nH]c23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ncnc3nc[nH]c23)cc1; [None]; [None]; [0]
-OCc1ccn(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
-OCCc1cn(-c2ncnc3nc[nH]c23)cn1; [None]; [None]; [0]
-Cc1cc(-c2ncnc3nc[nH]c23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ncnc2nc[nH]c12)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Clc1ncnc2nc[nH]c12']; [0.999819219]
-C[C@H](Nc1ncnc2nc[nH]c12)C(C)(C)O; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-C[C@@H](Nc1ncnc2nc[nH]c12)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-Oc1ncccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1nc(-c2nc[nH]n2)c2[nH]cnc2n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ncnc3nc[nH]c23)[nH]1; [None]; [None]; [0]
-c1nc(-c2ccc(-n3cncn3)cc2)c2[nH]cnc2n1; [None]; [None]; [0]
-COc1ccc(-c2ncnc3nc[nH]c23)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Clc1ncnc2nc[nH]c12']; [0.999975085]
-Oc1ccc2nc(-c3ncnc4nc[nH]c34)[nH]c2c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1cc(Cc2ncnc3nc[nH]c23)ccn1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ncnc3nc[nH]c23)cc1; ['Clc1ncnc2nc[nH]c12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.987147331]
-C[C@H](CO)n1cnnc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-O=C(CCc1ncnc2nc[nH]c12)NCc1ccccn1; [None]; [None]; [0]
-Cn1cnnc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1nc(-c2nncn2C2CC2)c2[nH]cnc2n1; [None]; [None]; [0]
-c1cn(-c2ncnc3nc[nH]c23)cn1; ['Clc1ncnc2nc[nH]c12']; ['c1c[nH]cn1']; [0.997158527]
-c1nc(OC2CCOCC2)c2[nH]cnc2n1; ['Clc1ncnc2nc[nH]c12']; ['OC1CCOCC1']; [0.999257624]
-C[C@@H](Nc1ncnc2nc[nH]c12)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Clc1ncnc2nc[nH]c12']; [0.999819219]
-CCc1cc(-c2ncnc3nc[nH]c23)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ncnc4nc[nH]c34)nn2)cc1; [None]; [None]; [0]
-Nc1nnc(-c2ncnc3nc[nH]c23)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ncnc3nc[nH]c23)nc(N)n1; [None]; [None]; [0]
-c1nc(-c2csc(N3CCOCC3)n2)c2[nH]cnc2n1; [None]; [None]; [0]
-Nc1ncc(-c2ncnc3nc[nH]c23)s1; [None]; [None]; [0]
-Cc1cncc(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncnc3nc[nH]c23)s1; [None]; [None]; [0]
-c1ccc2sc(-c3ncnc4nc[nH]c34)nc2c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ncnc2nc[nH]c12; [None]; [None]; [0]
-COc1cccc(F)c1-c1ncnc2nc[nH]c12; ['COc1cccc(F)c1B(O)O']; ['Clc1ncnc2nc[nH]c12']; [0.999819338]
-CC(=O)Nc1ncc(-c2ncnc3nc[nH]c23)[nH]1; [None]; [None]; [0]
-c1nc(CC2CCOCC2)c2[nH]cnc2n1; [None]; [None]; [0]
-c1cc(-c2ncnc3nc[nH]c23)c2sccc2c1; [None]; [None]; [0]
-Nc1nc(-c2ncnc3nc[nH]c23)nc2ccccc12; [None]; [None]; [0]
-c1ccc2nc(-c3ncnc4nc[nH]c34)ncc2c1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2ncnc3nc[nH]c23)cn1; [None]; [None]; [0]
-Cn1cc(-c2ncnc3nc[nH]c23)c(=O)n1C; [None]; [None]; [0]
-c1nc(-c2ncc3cc[nH]c3n2)c2[nH]cnc2n1; [None]; [None]; [0]
-c1cnc2c(-c3ncnc4nc[nH]c34)c[nH]c2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ncnc3nc[nH]c23)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ncnc2nc[nH]c12; [None]; [None]; [0]
-c1cncc(Cc2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
-CC(C)(C)CNc1ncnc2nc[nH]c12; ['CC(C)(C)CN', 'CC(C)(C)CN']; ['Clc1ncnc2nc[nH]c12', 'CSc1ncnc2nc[nH]c12']; [0.999725759, 0.999725759]
-Cc1cc(C)cc(-c2ncnc3nc[nH]c23)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Clc1ncnc2nc[nH]c12']; [0.999719083]
-CC(C)(C)Oc1ncnc2nc[nH]c12; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ncnc3nc[nH]c23)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Clc1ncnc2nc[nH]c12']; [0.997004449]
-C[C@@]1(O)CC[C@H](c2ncnc3nc[nH]c23)CC1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(c4ncnc5nc[nH]c45)CC3)nc2c1; ['Clc1ncnc2nc[nH]c12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999078751]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ncnc3nc[nH]c23)C1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Clc1ncnc2nc[nH]c12']; [0.999827325]
-CN(C)c1cc(-c2ncnc3nc[nH]c23)cnn1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C#N)cc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['N#Cc1ccc(B(O)O)cc1']; [0.997246]
-CCOc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cc(N)c(=O)n(C)c1; ['Cc1n[nH]cc1B1OC(C)(C)C(C)(C)O1']; ['Cn1cc(Br)cc(N)c1=O']; [0.999625087]
-CC(=O)N(C)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ncc3ccccc3n2)cc(N)c1=O; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc(N)c(=O)n(C)c3)CC2)c1; [None]; [None]; [0]
-COc1ncccc1-c1cc(N)c(=O)n(C)c1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1']; ['Cn1cc(Br)cc(N)c1=O']; [0.999780715]
-Cn1cc(-c2cccc(S(C)(=O)=O)c2)cc(N)c1=O; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999997377]
-Cn1nncc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)c(=O)n(C)c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cn1cc(Br)cc(N)c1=O']; [0.999882936]
-COc1cc(-c2cc(N)c(=O)n(C)c2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC']; ['Cn1cc(Br)cc(N)c1=O']; [0.999822438]
-Cc1nn(C)cc1-c1cc(N)c(=O)n(C)c1; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Cn1cc(Br)cc(N)c1=O']; [0.997911394]
-Cn1cc(-c2cccc(O)c2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1cccc(O)c1']; [0.992881894]
-COc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['COc1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.998753905]
-Cn1cc(-c2cnc3cccnn23)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc(NC(=O)C3CC3)c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(N3CCOCC3)cc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.99983561]
-Cn1cc(-c2ccccc2)cc(N)c1=O; ['CC1(C)OB(c2ccccc2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999754131]
-Cn1cc(-c2ccc(C(N)=O)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999821484]
-Cn1cc(-c2nc3ccccc3[nH]2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(NS(C)(=O)=O)nc2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)[O-])cc2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(Nc2ncccn2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cl)cc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccc(Cl)cc1']; [0.9961133]
-Cn1cc(Cc2nccc3ccccc23)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc(F)c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(CCCO)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(OCCO)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999937415]
-CC(=O)NCc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)N3CCOCC3)cc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.999533057]
-Cn1cc(-c2cccc(C3CCNCC3)c2)cc(N)c1=O; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)N3CCOCC3)cn2)cc(N)c1=O; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c(=O)n(C)c2)nn1C; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(F)(F)F)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999953151]
-C[C@@H](O)COc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.999970794]
-CNS(=O)(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc(N)c(=O)n(C)c2)s1; [None]; [None]; [0]
-Cn1cc(C2CCCCC2)cc(N)c1=O; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2cnc(Cl)nc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1cnc(Cl)nc1']; [0.987347722]
-Cn1cc([C@H]2CCN(C(=O)c3ccccc3)C2)cc(N)c1=O; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cn1cc(C2CCN(S(C)(=O)=O)CC2)cc(N)c1=O; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2cncnc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1cncnc1']; [0.973672032]
-CN(C)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2ccc(Br)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccc(Br)cc1']; [0.999784887, 0.999784887]
-COc1ccc(Cl)cc1-c1cc(N)c(=O)n(C)c1; ['COc1ccc(Cl)cc1B(O)O']; ['Cn1cc(Br)cc(N)c1=O']; [0.998845]
-Cn1cc(-c2cn[nH]c2)cc(N)c1=O; ['CC1(C)OB(c2cn[nH]c2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999922395]
-Cn1cc(-c2c[nH]c3ccccc23)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc[nH]2)cc(N)c1=O; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(N)c(=O)n(C)c2)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)CCO3)cc(N)c1=O; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999982953]
-Cc1cc(-c2cc(N)c(=O)n(C)c2)sn1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(N)c(=O)n(C)c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.999803722, 0.999803722]
-Cn1cc(-c2cc(N3CCOCC3)ccn2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cc3ccccc3cn2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cc(-c3ccccc3)[nH]n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc3c2OCO3)cc(N)c1=O; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc(N)c(=O)n(C)c3)CC2)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)c(=O)n(C)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Cn1cc(Br)cc(N)c1=O']; [0.999609768]
-Cn1cc(-c2ccc(F)c(F)c2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccc(F)c(F)c1']; [0.999273598]
-Cn1cc(-c2scc3c2OCCO3)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cnc3ccccc3c2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1cnc2ccccc2c1']; [0.987934]
-Cn1cc(-c2cccnc2Oc2ccccc2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H]([NH3+])CC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(C)(C)C)cc2)cc(N)c1=O; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.999984384]
-CN(C)C(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.999982476, 0.999982476]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(N)c(=O)n(C)c2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(C)(C)C)nc2)cc(N)c1=O; [None]; [None]; [0]
-COCCc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc(N)c(=O)n(C)c2)c1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c(=O)n(C)c2)nc(N)n1; [None]; [None]; [0]
-Cn1cc(-c2ccco2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccco1']; [0.99383074]
-CSc1cccc(-c2cc(N)c(=O)n(C)c2)c1; ['CSc1cccc(B(O)O)c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.996868193]
-CCN1CCN(Cc2ccc(-c3cc(N)c(=O)n(C)c3)cc2)CC1; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](O)CC2)cc(N)c1=O; [None]; [None]; [0]
-CC[C@@H](CO)c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(C2CCOCC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(F)cc2Cl)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccc(F)cc1Cl']; [0.999369204]
-COc1ccc(-c2cc(N)c(=O)n(C)c2)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['Cn1cc(Br)cc(N)c1=O']; [0.996411622]
-Cn1cc(-c2ncc(Br)cn2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@H]2CC[C@@H](O)C2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cl)cc2Cl)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.998977065]
-CCc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CCc1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.996278465]
-Cn1cc(-c2ccsc2)cc(N)c1=O; ['CC1(C)OB(c2ccsc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccsc1']; [0.999966145, 0.999966145]
-COc1cc(-c2cc(N)c(=O)n(C)c2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2ncc3cccn3n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cc3ccccn3n2)cc(N)c1=O; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc(N)c(=O)n(C)c2)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.996847093]
-Cn1cc(-c2cc(N)c(=O)n(C)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)CC(C)(C)O3)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(N3CCCCC3)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'OB(O)c1ccc(N2CCCCC2)cc1']; [0.999992847, 0.999992847, 0.999992847]
-COc1ccc2cccc(-c3cc(N)c(=O)n(C)c3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2cccc3ccc(O)cc23)cc(N)c1=O; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(N)c(=O)n(C)c2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cc(N)c(=O)n(C)c2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['Cn1cc(Br)cc(N)c1=O']; [0.999733627]
-Cn1cc(-c2ncc(Cl)cn2)cc(N)c1=O; [None]; [None]; [0]
-Cc1csc2c(-c3cc(N)c(=O)n(C)c3)ncnc12; [None]; [None]; [0]
-Cn1cc(-c2cccc(-n3nccn3)c2)cc(N)c1=O; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)c(=O)n(C)c2)o1; ['Cc1ccc(B(O)O)o1']; ['Cn1cc(Br)cc(N)c1=O']; [0.996296823]
-COc1cc(-c2cc(N)c(=O)n(C)c2)c(OC)cc1Br; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc(N)c(=O)n(C)c2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(N)c(=O)n(C)c2)c1; ['COc1cc(OC)cc(B(O)O)c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.994845748]
-CO[C@@H]1CC[C@@H](c2cc(N)c(=O)n(C)c2)CC1; [None]; [None]; [0]
-Cn1cc(-c2cc(F)cc3c2OCOC3)cc(N)c1=O; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(N)c(=O)n(C)c3)cc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C[NH+](C)C)cc2)cc(N)c1=O; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc(N)c(=O)n(C)c2)CC1; [None]; [None]; [0]
-Cn1cc(-c2ccc3cn[nH]c3c2)cc(N)c1=O; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999991536]
-CNC(=O)c1ccc(OC)c(-c2cc(N)c(=O)n(C)c2)c1; [None]; [None]; [0]
-Cn1cc(-c2cc3ccccc3o2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cc(-c3cccnc3)ccn2)cc(N)c1=O; [None]; [None]; [0]
-Cc1nc(-c2cc(N)c(=O)n(C)c2)c2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.99983]
-Cn1cc(-c2ncc3sccc3n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ncc3cc(Cl)ccc3n2)cc(N)c1=O; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(OC(F)(F)F)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999998212]
-Cn1cc(-c2cccc(NC(=O)N3CCCC3)c2)cc(N)c1=O; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(N)c(=O)n(C)c3)[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)[O-])c(Cl)c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cscn2)cc(N)c1=O; [None]; [None]; [0]
-CCc1cccc(-c2cc(N)c(=O)n(C)c2)n1; [None]; [None]; [0]
-Cn1cc(-c2cn(C)c3ccccc23)cc(N)c1=O; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)c(=O)n(C)c2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Cn1cc(Br)cc(N)c1=O']; [0.998801589]
-C[C@H]1CCCN1c1cccc(-c2cc(N)c(=O)n(C)c2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)c(=O)n(C)c2)nc1C; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c(=O)n(C)c2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1cc(C2CCC(F)(F)CC2)cc(N)c1=O; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc(N)c(=O)n(C)c3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2cccc(N3CCCC3=O)c2)cc(N)c1=O; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(C2CCS(=O)(=O)CC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(CCO)cc2)cc(N)c1=O; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.997410119]
-COc1cc(N2CCNCC2)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)c(OC)c1; [None]; [None]; [0]
-Cn1cc(-c2cc(S(C)(=O)=O)ccc2Cl)cc(N)c1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc(N)c(=O)n(C)c2)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc(N)c(=O)n(C)c1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1']; ['Cn1cc(Br)cc(N)c1=O']; [0.999333799]
-Cc1ccc(C(=O)NCCO)cc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-COC(C)(C)CCc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc(N)c(=O)n(C)c2)[nH]1; [None]; [None]; [0]
-Cn1cc([C@@H]2C[C@H](O)C2)cc(N)c1=O; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(Cc2cc(F)cc(F)c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccccc2P(C)(C)=O)cc(N)c1=O; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2cc[nH]n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccnc3ccccc23)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccnc2ccccc12']; [0.994158387]
-Cn1cc(-c2cccnc2)cc(N)c1=O; ['CC1(C)OB(c2cccnc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cccnc1']; [0.999884844, 0.999884844]
-Cn1cc(-c2cccc(C(F)(F)F)c2)cc(N)c1=O; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999943733]
-Cn1cc(-c2ccccc2F)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccccc1F']; [0.997444868]
-Cc1cccc(-c2cc(N)c(=O)n(C)c2)c1; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.999964833]
-Cn1cc(-c2ccccc2C#N)cc(N)c1=O; ['CC1(C)OB(c2ccccc2C#N)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999349058]
-Cn1cc(-c2ccccc2Cl)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccccc1Cl']; [0.998663306]
-Cn1cc(-c2ccccc2Br)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccccc1Br']; [0.981504619]
-Cn1cc(-c2ccccc2C(N)=O)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccccc2OC(F)(F)F)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.998859525]
-Cn1cc(-c2ccccc2C(=O)[O-])cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cnn(Cc3ccccc3)c2)cc(N)c1=O; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999889]
-Cn1cc(-c2c(F)cccc2F)cc(N)c1=O; ['CC1(C)OB(c2c(F)cccc2F)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999839664]
-Cn1cc(-c2cnc(-c3ccccc3)[nH]2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cnn(CCO)c2)cc(N)c1=O; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.99479562]
-Cn1cc(-c2ccncn2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@@H](N)c2ccco2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](CO)OC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc(NC(=O)c3ccccc3)c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2csc(C(C)(C)C)n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(CC2CCCCC2)cc(N)c1=O; [None]; [None]; [0]
-COc1cnc(-c2cc(N)c(=O)n(C)c2)nc1; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)CCC3)cc(N)c1=O; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)c(=O)n(C)c2)c(Br)c1; [None]; [None]; [0]
-Cn1cc(-c2cnco2)cc(N)c1=O; [None]; [None]; [0]
-CC(C)C(=O)COc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3ccccn23)cc(N)c1=O; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc(N)c(=O)n(C)c2)s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2c(Cl)cccc2Cl)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1c(Cl)cccc1Cl']; [0.998692334]
-Cc1nc(N)sc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(NC(C)(C)C)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc(Cn3cncn3)c2)cc(N)c1=O; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc(N)c(=O)n(C)c2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.971680939]
-Cn1cc(-c2cccc(Cl)c2Cl)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1cccc(Cl)c1Cl']; [0.998633206]
-Cn1cc(OC2CCCCC2)cc(N)c1=O; [None]; [None]; [0]
-Cc1ncc(-c2cc(N)c(=O)n(C)c2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2ccnc(N)n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(NCc2cccnc2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc3ccccc3c2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1ccc2ccccc2c1']; [0.999255]
-COc1cccc(-c2cc(N)c(=O)n(C)c2)c1; ['COc1cccc(B(O)O)c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.997709394]
-CCC(C)(C)c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(Nc2cccnc2)cc(N)c1=O; [None]; [None]; [0]
-C[C@H](CO)Nc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cl)s2)cc(N)c1=O; [None]; [None]; [0]
-CC(C)COc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(NCCc2c[nH]cn2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-n2cnc3ccccc32)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['c1ccc2[nH]cnc2c1']; [0.829229474]
-C[C@@H](O)[C@@H](C)Oc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(NC(=O)c2cccs2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cncc3ccccc23)cc(N)c1=O; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cncc2ccccc12']; [0.999895692, 0.999895692]
-COC(=O)[C@@H](N)Cc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-CCCCc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2cccc(CC(=O)[O-])c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(N)[nH]nc3c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cc(N)c(=O)n(C)c3)cc2)cn1; [None]; [None]; [0]
-Cn1cc(NCCc2ccccc2)cc(N)c1=O; [None]; [None]; [0]
-CCCn1cnc(-c2cc(N)c(=O)n(C)c2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(cnn3C)c2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.999995232, 0.999995232]
-Cn1cc(-c2cccc(CO)c2)cc(N)c1=O; ['Cn1cc(Cl)cc(N)c1=O']; ['OCc1cccc(B(O)O)c1']; [0.891457]
-Cn1cc(CCC[NH3+])cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CCC[C@H]([NH3+])C2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cncc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(Nc2ccncc2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cccs2)cc(N)c1=O; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-CSc1nc(-c2cc(N)c(=O)n(C)c2)c[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cccc(CCC#N)c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2csc3ncncc23)cc(N)c1=O; [None]; [None]; [0]
-CC(C)Nc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(F)cc2C(F)(F)F)cc(N)c1=O; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc(N)c(=O)n(C)c3)cc2s1; [None]; [None]; [0]
-C[C@H](c1cc(N)c(=O)n(C)c1)C(F)(F)F; [None]; [None]; [0]
-Cn1cc(N2CCC(S(C)(=O)=O)CC2)cc(N)c1=O; ['CS(=O)(=O)C1CCNCC1']; ['Cn1cc(Br)cc(N)c1=O']; [0.989992917]
-Cn1cc(OC(F)(F)F)cc(N)c1=O; [None]; [None]; [0]
-COc1ccc(-c2cc(N)c(=O)n(C)c2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Cn1cc(Br)cc(N)c1=O']; [0.998147]
-Cn1cc(-c2cnn3ccccc23)cc(N)c1=O; [None]; [None]; [0]
-CCC(=O)Nc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-CCCn1cc(-c2cc(N)c(=O)n(C)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cn1cc(Br)cc(N)c1=O']; [0.999638081]
-Cn1cc(-c2cnoc2)cc(N)c1=O; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c(=O)n(C)c2)no1; [None]; [None]; [0]
-Cn1cc(-c2cccc3c2C(=O)CC3)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccn([C@@H2]CO)c(=O)c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cc[nH]c(=O)c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(NC(=O)NC(C)(C)C)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(C)(C)N)cc2)cc(N)c1=O; [None]; [None]; [0]
-COc1cc(CCc2cc(N)c(=O)n(C)c2)cc(OC)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc([S@](C)=O)cc2)cc(N)c1=O; ['CS(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.994552076]
-CCOC(=O)Cc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cl)c(C(=O)[O-])c2)cc(N)c1=O; [None]; [None]; [0]
-CCN(CC)c1cc(N)c(=O)n(C)c1; ['CCNCC']; ['Cn1cc(Br)cc(N)c1=O']; [0.935353756]
-COc1ccncc1Nc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2cc3c(=O)[nH]ccc3o2)cc(N)c1=O; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(Nc2cnc3ccccc3c2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c3cnccc23)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(C2(C)CCN(S(C)(=O)=O)CC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]ccc3c2)cc(N)c1=O; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.999995947]
-Cn1cc([C@H](CO)Cc2ccccc2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CCCN(C(=O)CC#N)C2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](NC(=O)O)C2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](C#N)CC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](CCC#N)CC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(S(C)(=O)=O)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.999963164, 0.999963164]
-Cn1cc([C@@H]2CC[C@@H](CC#N)CC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@H]2COCC[C@@H]2C#N)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)cc(N)c1=O; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.999919176]
-Cc1cc(-c2cc(N)c(=O)n(C)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cn1cc(-n2ccc(CO)n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-n2cnc(CCO)c2)cc(N)c1=O; [None]; [None]; [0]
-C[C@H](Nc1cc(N)c(=O)n(C)c1)C(C)(C)C; [None]; [None]; [0]
-Cn1cc(-c2cccc(F)c2C(N)=O)cc(N)c1=O; [None]; [None]; [0]
-C[C@H](Nc1cc(N)c(=O)n(C)c1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cc(N)c(=O)n(C)c1)C(C)(C)O; [None]; [None]; [0]
-Cn1cc(-n2ncc3ccccc32)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2nc[nH]n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cccnc2O)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-n2ncc3c(O)cccc32)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2nc3ccc(O)cc3[nH]2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(-n3cncn3)cc2)cc(N)c1=O; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc(N)c(=O)n(C)c2)[nH]1; [None]; [None]; [0]
-Cn1cc(Cc2ccncc2)cc(N)c1=O; [None]; [None]; [0]
-COc1ccc(-c2cc(N)c(=O)n(C)c2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.999307275]
-Cc1nc[nH]c1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)c3ccccc3)cc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.998907566]
-Cn1cc(NCC(C)(C)[NH3+])cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2nncn2C2CC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cnnc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-n2ccnc2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(OC2CCOCC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(CCC(=O)NCc2ccccn2)cc(N)c1=O; [None]; [None]; [0]
-C[C@@H](Nc1cc(N)c(=O)n(C)c1)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2cc(N)c(=O)n(C)c2)nc(N)n1; [None]; [None]; [0]
-Cn1cc(-c2cn(Cc3ccccc3)nn2)cc(N)c1=O; [None]; [None]; [0]
-CCCCc1cc(-c2cc(N)c(=O)n(C)c2)nc(N)n1; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)s2)cc(N)c1=O; [None]; [None]; [0]
-Cc1cncc(-c2cc(N)c(=O)n(C)c2)n1; [None]; [None]; [0]
-Cn1cc(-c2nnc(N)s2)cc(N)c1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc(N)c(=O)n(C)c1; ['COc1cccc(F)c1B(O)O']; ['Cn1cc(Br)cc(N)c1=O']; [0.996182382]
-Cn1cc([C@H]2CCCN2C(N)=O)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2csc(N3CCOCC3)n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc3ccsc23)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2nc3ccccc3s2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(CC2CCOCC2)cc(N)c1=O; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc(N)c(=O)n(C)c2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cn(C)n(C)c2=O)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2nc(N)c3ccccc3n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2cnccc2N2CCOCC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2ncc3cc[nH]c3n2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c3cccnc23)cc(N)c1=O; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(Cc2cccnc2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(O[C@@H]2CC[C@H](O)CC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(Cc2ccccc2NS(C)(=O)=O)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(NCC(C)(C)C)cc(N)c1=O; [None]; [None]; [0]
-CN(C)c1cc(-c2cc(N)c(=O)n(C)c2)cnn1; [None]; [None]; [0]
-Cn1cc(OC(C)(C)C)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc([C@H]2CC[C@@](C)(O)CC2)cc(N)c1=O; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc(N)c(=O)n(C)c2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.999230266, 0.999230266]
-CC(=O)N(C)c1ccc(-c2ccc(=O)n(C)c2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999942303]
-Cn1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc(N)c1=O; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc(=O)n(C)c3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2ncc3ccccc3n2)ccc1=O; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccc(=O)n(C)c3)CC2)c1; [None]; [None]; [0]
-Cn1cc(-c2ccccc2)ccc1=O; ['Cn1cc(I)ccc1=O', 'Cn1cc(Br)ccc1=O', 'Cn1ccccc1=O']; ['OB(O)c1ccccc1', 'OB(O)c1ccccc1', 'OB(O)c1ccccc1']; [0.99985826, 0.99985826, 0.99985826]
-Cn1cc(-c2ccc(N3CCOCC3)cc2)ccc1=O; ['Brc1ccc(N2CCOCC2)cc1', 'Cn1cc(I)ccc1=O', 'Cn1cc(Br)ccc1=O']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999993086, 0.999993086, 0.999993086]
-Cn1cc(-n2ncc3ccccc3c2=O)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['O=c1[nH]ncc2ccccc12']; [0.928816795]
-Cn1cc(-c2cccc(NC(=O)C3CC3)c2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)[O-])cc2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(NS(C)(=O)=O)nc2)ccc1=O; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)N3CCOCC3)cc2)ccc1=O; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; ['Cn1cc(Br)ccc1=O', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.999999881, 0.999999881]
-Cn1cc(-c2ccc(C(=O)N3CCOCC3)cn2)ccc1=O; [None]; [None]; [0]
-Cn1cc(Cc2ccccc2)ccc1=O; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc(=O)n(C)c2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Cn1cc(Br)ccc1=O', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999989748, 0.999989748]
-C[C@@H](O)COc1ccc(-c2ccc(=O)n(C)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(Cc2cncnc2)ccc1=O; [None]; [None]; [0]
-Cn1cc(C2CCCCC2)ccc1=O; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc(=O)n(C)c2)cc1; [None]; [None]; [0]
-Cn1cc(C2CCN(S(C)(=O)=O)CC2)ccc1=O; [None]; [None]; [0]
-Cn1cc(Cc2cnc(N)nc2)ccc1=O; [None]; [None]; [0]
-Cn1cc([C@H]2CCN(C(=O)c3ccccc3)C2)ccc1=O; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc(=O)n(C)c2)cc1Cl; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(=O)n(C)c2)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2cc(-c3ccccc3)[nH]n2)ccc1=O; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)n(C)c2)sn1; [None]; [None]; [0]
-Cn1cc(-c2cc(N3CCOCC3)ccn2)ccc1=O; [None]; [None]; [0]
-Cn1cc(NC(=O)NC(C)(C)C)ccc1=O; ['CC(C)(C)N=C=O']; ['Cn1cc(N)ccc1=O']; [0.999519]
-Cn1cc([C@@H]2CC[C@@H]([NH3+])CC2)ccc1=O; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc(=O)n(C)c3)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc(=O)n(C)c2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cn1cc(I)ccc1=O', 'Cn1cc(Br)ccc1=O']; [0.999999762, 0.999999762]
-COc1cc(N2CCOCC2)ccc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(C)(C)C)nc2)ccc1=O; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc(=O)n(C)c2)c1; [None]; [None]; [0]
-Cn1cc(-c2cccnc2Oc2ccccc2)ccc1=O; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc(=O)n(C)c2)CC1; [None]; [None]; [0]
-CCCCCc1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(C2CCOCC2)ccc1=O; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc(=O)n(C)c3)cc2)CC1; [None]; [None]; [0]
-Cn1cc(-c2ncc3cccn3n2)ccc1=O; [None]; [None]; [0]
-CC[NH+](CC)c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(CCCn2cncn2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cc3ccccn3n2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)CC(C)(C)O3)ccc1=O; [None]; [None]; [0]
-COc1cc(-c2ccc(=O)n(C)c2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2ccc(N3CCCCC3)cc2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ncc(Cl)cn2)ccc1=O; [None]; [None]; [0]
-Cc1csc2c(-c3ccc(=O)n(C)c3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999799907]
-Cn1cc(-c2cccc(-n3nccn3)c2)ccc1=O; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc(=O)n(C)c2)c1; [None]; [None]; [0]
-Cn1cc(Cc2ccc(C(N)=O)cc2)ccc1=O; [None]; [None]; [0]
-Cn1cc(NC(=O)c2ccco2)ccc1=O; ['Cn1cc(N)ccc1=O']; ['O=C(Cl)c1ccco1']; [0.997926593]
-Cn1cc(Cc2ccc(S(=O)(=O)CCO)cc2)ccc1=O; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc(=O)n(C)c2)CC1; [None]; [None]; [0]
-Cn1cc(-c2cc(F)cc3c2OCOC3)ccc1=O; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc(=O)n(C)c2)CC1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C[NH+](C)C)cc2)ccc1=O; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc(=O)n(C)c3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc(=O)n(C)c2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999979496]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc(=O)n(C)c2)CC1; [None]; [None]; [0]
-Cn1cc(-c2cc(-c3cccnc3)ccn2)ccc1=O; [None]; [None]; [0]
-Cn1cc(NC(=O)c2ccc(C(C)(C)C)cc2)ccc1=O; ['CC(C)(C)c1ccc(C(N)=O)cc1']; ['Cn1cc(I)ccc1=O']; [0.988942623]
-Cc1nc(-c2ccc(=O)n(C)c2)c2sccc2n1; [None]; [None]; [0]
-Cn1cc(-c2ncc3sccc3n2)ccc1=O; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2ncc3cc(Cl)ccc3n2)ccc1=O; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc(=O)n(C)c3)[nH]c2c1; ['CCOC(=O)c1ccc(=O)n(C)c1']; ['COc1ccc(N)c(N)c1']; [0.995996714]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc(=O)n(C)c2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(OC(F)(F)F)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cn(C)c3ccccc23)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cccc(NC(=O)N3CCCC3)c2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(cnn3C)c2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999999523]
-C[C@H]1CCCN1c1cccc(-c2ccc(=O)n(C)c2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(=O)n(C)c2)cn1; ['CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['Cn1cc(Br)ccc1=O', 'Cn1cc(I)ccc1=O']; [0.999674201, 0.999674201]
-Cn1cc(-c2ccc(C(=O)[O-])c(Cl)c2)ccc1=O; [None]; [None]; [0]
-Cn1cc(CCC[NH+](C)C)ccc1=O; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)n(C)c2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1cc(C2CCC(F)(F)CC2)ccc1=O; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc(=O)n(C)c3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999998808]
-Cn1cc(CC2CCOCC2)ccc1=O; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(C2CCS(=O)(=O)CC2)ccc1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(=O)n(C)c2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999975562]
-CN(C)C(=O)c1ccc(-c2ccc(=O)n(C)c2)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc(=O)n(C)c2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)ccc1=O']; [0.999974489]
-CNC(=O)c1ccc(C)c(-c2ccc(=O)n(C)c2)c1; [None]; [None]; [0]
-Cn1cc(OCCC[NH+](C)C)ccc1=O; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc(=O)n(C)c2)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2ccccc2P(C)(C)=O)ccc1=O; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cc1cccc(-c2ccc(=O)n(C)c2)c1; ['Cc1cccc(B(O)O)c1']; ['Cn1ccccc1=O']; [0.913326681]
-COc1ccc(F)cc1[C@@H](C)c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](CO)OC2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2csc(C(C)(C)C)n2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccccc2C(=O)[O-])ccc1=O; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(CC2CCCCC2)ccc1=O; [None]; [None]; [0]
-COc1cnc(-c2ccc(=O)n(C)c2)nc1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc(=O)n(C)c2)s1; [None]; [None]; [0]
-Cn1cc(-c2cccc(Cn3cncn3)c2)ccc1=O; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc(=O)n(C)c1; ['Cc1cn2ccccc2n1']; ['Cn1cc(Br)ccc1=O']; [0.99999404]
-Cn1cc(NCCc2c[nH]cn2)ccc1=O; ['Cn1cc(Br)ccc1=O']; ['NCCc1c[nH]cn1']; [0.829737484]
-CCC(C)(C)c1ccc(=O)n(C)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(NCCc2ccccc2)ccc1=O; ['Cn1cc(Br)ccc1=O', 'BrCCc1ccccc1']; ['NCCc1ccccc1', 'Cn1cc(N)ccc1=O']; [0.9536587, 0.9536587]
-CCCCc1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(N)[nH]nc3c2)ccc1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.999994636]
-Cn1cc(-c2cccc(CC(=O)[O-])c2)ccc1=O; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(=O)n(C)c2)n1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc(=O)n(C)c3)cc2)cn1; [None]; [None]; [0]
-Cn1cc(CCC[NH3+])ccc1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CCC[C@H]([NH3+])C2)ccc1=O; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc(=O)n(C)c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2csc3ncncc23)ccc1=O; [None]; [None]; [0]
-Cn1cc(N2CCC(S(C)(=O)=O)CC2)ccc1=O; ['CS(=O)(=O)C1CCNCC1']; ['Cn1cc(Br)ccc1=O']; [0.987797558]
-CSc1nc(-c2ccc(=O)n(C)c2)c[nH]1; [None]; [None]; [0]
-C[C@H](c1ccc(=O)n(C)c1)C(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2cc[nH]c(=O)c2)ccc1=O; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc(=O)n(C)c3)cc2s1; [None]; [None]; [0]
-Cn1cc(-c2ccn([C@@H2]CO)c(=O)c2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cl)c(C(=O)[O-])c2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2cnn3ccccc23)ccc1=O; [None]; [None]; [0]
-COc1cc(CCc2ccc(=O)n(C)c2)cc(OC)c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]ccc3c2)ccc1=O; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O', 'Cn1cc(Br)ccc1=O']; [0.999999523, 0.999999523]
-Cn1cc(C2(C)CCN(S(C)(=O)=O)CC2)ccc1=O; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)n(C)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](CCC#N)CC2)ccc1=O; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](NC(=O)O)C2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-n2cnc(CCO)c2)ccc1=O; [None]; [None]; [0]
-C[C@H](Nc1ccc(=O)n(C)c1)C(C)(C)C; [None]; [None]; [0]
-Cn1cc(-n2ccc(CO)n2)ccc1=O; [None]; [None]; [0]
-C[C@@H](Nc1ccc(=O)n(C)c1)C(C)(C)O; [None]; [None]; [0]
-Cn1cc(-c2nc[nH]n2)ccc1=O; [None]; [None]; [0]
-C[C@H](Nc1ccc(=O)n(C)c1)C(C)(C)O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc(=O)n(C)c1; ['Cc1nc[nH]c1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)ccc1=O']; [0.999834418]
-CSc1nc(C)c(-c2ccc(=O)n(C)c2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-n3cncn3)cc2)ccc1=O; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-Cn1cc(NCC(C)(C)[NH3+])ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2nncn2C2CC2)ccc1=O; [None]; [None]; [0]
-Cn1cc(CCC(=O)NCc2ccccn2)ccc1=O; [None]; [None]; [0]
-Cn1cnnc1-c1ccc(=O)n(C)c1; [None]; [None]; [0]
-C[C@@H](Nc1ccc(=O)n(C)c1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C', 'C[C@@H](N)C(C)(C)C']; ['Cn1cc(Br)ccc1=O', 'Cn1cc(Cl)ccc1=O']; [0.998255908, 0.998255908]
-Cn1cc(-c2cn(Cc3ccccc3)nn2)ccc1=O; [None]; [None]; [0]
-CCc1cc(-c2ccc(=O)n(C)c2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ccc(=O)n(C)c2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(=O)n(C)c2)s1; [None]; [None]; [0]
-Cn1cc(-c2csc(N3CCOCC3)n2)ccc1=O; [None]; [None]; [0]
-Cn1cc([C@H]2CCCN2C(N)=O)ccc1=O; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc(=O)n(C)c2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cn(C)n(C)c2=O)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ncc3cc[nH]c3n2)ccc1=O; ['Cn1cc(I)ccc1=O']; ['c1ncc2cc[nH]c2n1']; [0.94]
-Cn1cc(-c2cnccc2N2CCOCC2)ccc1=O; [None]; [None]; [0]
-Cn1cc(O[C@@H]2CC[C@H](O)CC2)ccc1=O; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc(=O)n(C)c2)cnn1; [None]; [None]; [0]
-Cn1cc(Cc2ccccc2NS(C)(=O)=O)ccc1=O; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccc(=O)[nH]n3)CC2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-O=c1ccc(-c2ncc3ccccc3n2)n[nH]1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc(=O)[nH]n3)c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccc(=O)[nH]n2)c1)C1CC1; [None]; [None]; [0]
-O=c1ccc(-c2ccc(N3CCOCC3)cc2)n[nH]1; ['CC(=O)c1ccc(N2CCOCC2)cc1']; ['O=CC(=O)O']; [0.999996066]
-O=c1ccc(-c2ccccc2)n[nH]1; ['CC(=O)c1ccccc1']; ['O=CC(=O)O']; [0.999701321]
-CS(=O)(=O)Nc1ccc(-c2ccc(=O)[nH]n2)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2ccc(=O)[nH]n2)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C']; ['O=c1ccc(Br)n[nH]1', 'O=c1ccc(Cl)n[nH]1']; [0.999993443, 0.999993443]
-O=c1ccc(-n2ncc3ccccc3c2=O)n[nH]1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2ccc(=O)[nH]n2)nc1)N1CCOCC1; [None]; [None]; [0]
-O=c1ccc(Cc2ccccc2)n[nH]1; []; []; []
-C[C@@H](O)COc1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1ccc(=O)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ccc(=O)[nH]n2)CC1; [None]; [None]; [0]
-O=c1ccc(C2CCCCC2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(Cc2cncnc2)n[nH]1; [None]; [None]; [0]
-Nc1ncc(Cc2ccc(=O)[nH]n2)cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2ccc(=O)[nH]n2)C1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc(=O)[nH]n2)cc1Cl; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(=O)[nH]n2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)[nH]n2)sn1; [None]; [None]; [0]
-O=c1ccc(-c2cc(-c3ccccc3)[nH]n2)n[nH]1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc(=O)[nH]n3)CC2)c1; [None]; [None]; [0]
-O=c1ccc(-c2cc(N3CCOCC3)ccn2)n[nH]1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2ccc(=O)[nH]n2)CC1; [None]; [None]; [0]
-O=c1ccc(-c2cccnc2Oc2ccccc2)n[nH]1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc(=O)[nH]n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc(=O)[nH]n2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc(=O)[nH]n2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc(=O)[nH]n2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc(=O)[nH]n3)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-CCCCCc1ccc(=O)[nH]n1; [None]; [None]; [0]
-CC[NH+](CC)c1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(C2CCOCC2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ncc3cccn3n2)n[nH]1; [None]; [None]; [0]
-COc1cc(-c2ccc(=O)[nH]n2)ccc1N1CCOCC1; [None]; [None]; [0]
-O=c1ccc(CCCn2cncn2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccc(N3CCCCC3)cc2)n[nH]1; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C', 'CC(=O)c1ccc(N2CCCCC2)cc1', 'O=c1ccc(Cl)n[nH]1']; ['O=c1ccc(Br)n[nH]1', 'O=CC(=O)O', 'OB(O)c1ccc(N2CCCCC2)cc1']; [0.999991536, 0.999991536, 0.999991536]
-CC1(C)Cc2cc(-c3ccc(=O)[nH]n3)ccc2O1; [None]; [None]; [0]
-Cc1csc2c(-c3ccc(=O)[nH]n3)ncnc12; [None]; [None]; [0]
-O=c1ccc(-c2cc3ccccn3n2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cccc(-n3nccn3)c2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ncc(Cl)cn2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(Cc2ccc(S(=O)(=O)CCO)cc2)n[nH]1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc(=O)[nH]n2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc(=O)[nH]n2)CC1; [None]; [None]; [0]
-O=C(Nc1ccc(=O)[nH]n1)c1ccco1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc(=O)[nH]n2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc(=O)[nH]n3)cc2c1; [None]; [None]; [0]
-O=c1ccc(-c2cc(F)cc3c2OCOC3)n[nH]1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc(=O)[nH]n2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc(=O)[nH]n2)c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ccc(=O)[nH]n2)cc1; ['CC(C)(C)c1ccc(C(N)=O)cc1']; ['O=c1ccc(Cl)n[nH]1']; [0.998295248]
-Cc1nc(-c2ccc(=O)[nH]n2)c2sccc2n1; [None]; [None]; [0]
-O=c1ccc(-c2cc(-c3cccnc3)ccn2)n[nH]1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(-c2ncc3cc(Cl)ccc3n2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ncc3sccc3n2)n[nH]1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc(=O)[nH]n3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=Cc1ccc(=O)[nH]n1']; [0.999811947]
-O=C(Nc1cccc(-c2ccc(=O)[nH]n2)c1)N1CCCC1; [None]; [None]; [0]
-O=c1ccc(OC(F)(F)F)n[nH]1; [None]; [None]; [0]
-Cn1cc(-c2ccc(=O)[nH]n2)c2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc(=O)[nH]n2)cc1Cl; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc(=O)[nH]n3)ccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccc(=O)[nH]n2)n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)[nH]n2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(=O)[nH]n2)cn1; [None]; [None]; [0]
-C[NH+](C)CCCc1ccc(=O)[nH]n1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc(=O)[nH]n3)ccc12; [None]; [None]; [0]
-O=c1ccc(C2CCC(F)(F)CC2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(C2CCS(=O)(=O)CC2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(CC2CCOCC2)n[nH]1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc(=O)[nH]n2)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(=O)[nH]n2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc(=O)[nH]n2)cc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1ccc(=O)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccc(=O)[nH]n2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc(=O)[nH]n1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc(=O)[nH]n2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc(=O)[nH]n1; [None]; [None]; [0]
-Cc1cccc(-c2ccc(=O)[nH]n2)c1; ['CC(=O)c1cccc(C)c1']; ['O=CC(=O)O']; [0.999998689]
-CP(C)(=O)c1ccccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc([C@@H]2CC[C@@H](CO)OC2)n[nH]1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc(=O)[nH]n2)cs1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc(=O)[nH]n1; ['CC(C)C(=O)CBr']; ['O=c1ccc(O)n[nH]1']; [0.903736889]
-COc1cnc(-c2ccc(=O)[nH]n2)nc1; [None]; [None]; [0]
-O=c1ccc(CC2CCCCC2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cccc(Cn3cncn3)c2)n[nH]1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc(=O)[nH]n2)s1; [None]; [None]; [0]
-O=c1ccc(NCCc2c[nH]cn2)n[nH]1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc(=O)[nH]n1; [None]; [None]; [0]
-CCC(C)(C)c1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(NCCc2ccccc2)n[nH]1; ['NCCc1ccccc1']; ['O=c1ccc(Cl)n[nH]1']; [0.993399143]
-O=C([O-])Cc1cccc(-c2ccc(=O)[nH]n2)c1; [None]; [None]; [0]
-CCCCc1ccc(=O)[nH]n1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccc(=O)[nH]n3)ccc12; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(=O)[nH]n2)n1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc(=O)[nH]n3)cc2)cn1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc(=O)[nH]n2)C1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc(=O)[nH]n1; [None]; [None]; [0]
-[NH3+]CCCc1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(-c2csc3ncncc23)n[nH]1; [None]; [None]; [0]
-CSc1nc(-c2ccc(=O)[nH]n2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc(=O)[nH]n2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['O=c1ccc(Cl)n[nH]1']; [0.98514384]
-C[C@H](c1ccc(=O)[nH]n1)C(F)(F)F; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc(=O)[nH]n3)cc2s1; [None]; [None]; [0]
-O=c1cc(-c2ccc(=O)[nH]n2)cc[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cnn3ccccc23)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2ccn([C@@H2]CO)c(=O)c2)n[nH]1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccc(=O)[nH]n2)ccc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-COc1cc(CCc2ccc(=O)[nH]n2)cc(OC)c1; [None]; [None]; [0]
-CC1(c2ccc(=O)[nH]n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=c1ccc(-c2cnc3[nH]ccc3c2)n[nH]1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['O=c1ccc(Br)n[nH]1']; [0.999998808]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc(=O)[nH]n2)C1; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)[nH]n2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc(=O)[nH]n2)CC1; [None]; [None]; [0]
-O=c1ccc(-n2ccc(CO)n2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(-n2cnc(CCO)c2)n[nH]1; [None]; [None]; [0]
-C[C@H](Nc1ccc(=O)[nH]n1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccc(=O)[nH]n1)C(C)(C)C; ['C[C@H](N)C(C)(C)C', 'C[C@H](N)C(C)(C)C']; ['O=c1ccc(Cl)n[nH]1', 'O=c1ccc(Br)n[nH]1']; [0.972200334, 0.972200334]
-O=c1ccc(-c2ccc(-n3cncn3)cc2)n[nH]1; [None]; [None]; [0]
-C[C@@H](Nc1ccc(=O)[nH]n1)C(C)(C)O; [None]; [None]; [0]
-O=c1ccc(-c2nc[nH]n2)n[nH]1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc(=O)[nH]n2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc(=O)[nH]n1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(-c2nncn2C2CC2)n[nH]1; [None]; [None]; [0]
-O=C(CCc1ccc(=O)[nH]n1)NCc1ccccn1; [None]; [None]; [0]
-C[C@@H](Nc1ccc(=O)[nH]n1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C', 'C[C@@H](N)C(C)(C)C']; ['O=c1ccc(Cl)n[nH]1', 'O=c1ccc(Br)n[nH]1']; [0.972200334, 0.972200334]
-CCCCc1cc(-c2ccc(=O)[nH]n2)nc(N)n1; [None]; [None]; [0]
-O=c1ccc(-c2cn(Cc3ccccc3)nn2)n[nH]1; [None]; [None]; [0]
-CCc1cc(-c2ccc(=O)[nH]n2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(=O)[nH]n2)s1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccc(=O)[nH]n1; [None]; [None]; [0]
-O=c1ccc(-c2csc(N3CCOCC3)n2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc(=O)[nH]n2)[nH]1; [None]; [None]; [0]
-O=c1ccc(-c2cnccc2N2CCOCC2)n[nH]1; [None]; [None]; [0]
-Cn1cc(-c2ccc(=O)[nH]n2)c(=O)n1C; [None]; [None]; [0]
-O=c1ccc(-c2ncc3cc[nH]c3n2)n[nH]1; [None]; [None]; [0]
-O=c1ccc(O[C@@H]2CC[C@H](O)CC2)n[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc(=O)[nH]n1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc(=O)[nH]n2)cnn1; [None]; [None]; [0]
-Cn1nc(-c2ccc(C#N)cc2)ccc1=O; [None]; [None]; [0]
-CCOc1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-Cn1nc(-c2ncc3ccccc3n2)ccc1=O; [None]; [None]; [0]
-Cc1n[nH]cc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccc(=O)n(C)n3)CC2)c1; [None]; [None]; [0]
-COc1ncccc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nncc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-COc1cc(-c2ccc(=O)n(C)n2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1nc(-c2cccc(S(C)(=O)=O)c2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(=O)n(C)n2)cn1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc(=O)n(C)n3)c2c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2cccc(O)c2)ccc1=O; [None]; [None]; [0]
-COc1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-Cn1nc(-c2cnc3cccnn23)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc(NC(=O)C3CC3)c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2nc3ccccc3[nH]2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(N3CCOCC3)cc2)ccc1=O; [None]; [None]; [0]
-Cc1cc(Nc2ccc(=O)n(C)n2)sn1; [None]; [None]; [0]
-Cn1nc(-c2ccccc2)ccc1=O; ['COS(=O)(=O)OC', 'COC(OC)N(C)C']; ['O=c1ccc(-c2ccccc2)n[nH]1', 'O=c1ccc(-c2ccccc2)n[nH]1']; [0.999017358, 0.999017358]
-Cn1nc(-n2ncc3ccccc3c2=O)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(N)=O)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(=O)[O-])cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(NS(C)(=O)=O)nc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(Cc2nccc3ccccc23)ccc1=O; [None]; [None]; [0]
-Cn1nc(Nc2ncccn2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(=O)Nc3ccccc3)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(Cl)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(NC(=O)C2CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc(F)c2)ccc1=O; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-Cn1nc(-c2cccc(C3CCNCC3)c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(OCCO)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(=O)N3CCOCC3)cn2)ccc1=O; [None]; [None]; [0]
-Cn1nc(Nc2ccncn2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(=O)N3CCOCC3)cc2)ccc1=O; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-Cn1nc(Cc2ccccc2)ccc1=O; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)n(C)n2)nn1C; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1ccc(=O)n(C)n1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(F)(F)F)cc2)ccc1=O; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc(=O)n(C)n2)s1; [None]; [None]; [0]
-Cn1nc(C2CCCCC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(Cc2ccccc2O)ccc1=O; [None]; [None]; [0]
-Cn1nc(C2CCN(S(C)(=O)=O)CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(Cc2cccnc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(Cc2ccncc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(Cc2cnc(N)nc2)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@H]2CCN(C(=O)c3ccccc3)C2)ccc1=O; [None]; [None]; [0]
-Cn1nc(Cc2cncnc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cncnc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cnc(Cl)nc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(C[C@H](O)CO)ccc1=O; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2ccc(Br)cc2)ccc1=O; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-Cn1nc(-n2ccnc2)ccc1=O; [None]; [None]; [0]
-COc1ccc(Cc2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(=O)n(C)n2)cc1Cl; [None]; [None]; [0]
-Cn1nc(-c2cn[nH]c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2c[nH]c3ccccc23)ccc1=O; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)n(C)n2)sn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc(=O)n(C)n2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(Cn2ccnc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc3c(c2)CCO3)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc[nH]2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cc(-c3ccccc3)[nH]n2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cc(N3CCOCC3)ccn2)ccc1=O; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cn1nc(-c2cc3ccccc3cn2)ccc1=O; [None]; [None]; [0]
-COc1cc(-c2ccc(=O)n(C)n2)ccc1O; [None]; [None]; [0]
-Cn1nc(-c2cccc3c2OCO3)ccc1=O; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc(=O)n(C)n3)CC2)c1; [None]; [None]; [0]
-Cn1nc(NC(=O)NC(C)(C)C)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@@H]2CC[C@@H]([NH3+])CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2scc3c2OCCO3)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccnc2Oc2ccccc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(C)(C)C)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(F)c(F)c2)ccc1=O; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(C)(C)C)nc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cnc3ccccc3c2)ccc1=O; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-COCCOc1ccc(=O)n(C)n1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc(=O)n(C)n2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cn1nc(-c2ccco2)ccc1=O; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)n(C)n2)nc(N)n1; [None]; [None]; [0]
-Cn1nc(OCC2(C)COC2)ccc1=O; [None]; [None]; [0]
-CSc1cccc(-c2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cn1nc(C2CCOCC2)ccc1=O; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc(=O)n(C)n3)cc2)CC1; [None]; [None]; [0]
-Cn1nc([C@H](CO)Cc2ccccc2)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@@H]2CC[C@@H](O)CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(F)cc2Cl)ccc1=O; [None]; [None]; [0]
-CCCCCc1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc([C@H]2CC[C@@H](O)C2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ncc(Br)cn2)ccc1=O; [None]; [None]; [0]
-CC[NH+](CC)c1ccc(=O)n(C)n1; [None]; [None]; [0]
-COc1ccc(-c2ccc(=O)n(C)n2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-Cn1nc(-c2ccc(Cl)cc2Cl)ccc1=O; [None]; [None]; [0]
-COc1ccc(CNc2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-Cn1nc(-c2ncc3cccn3n2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccsc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(CCCn2cncn2)ccc1=O; [None]; [None]; [0]
-COc1cc(-c2ccc(=O)n(C)n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2ccc(=O)n(C)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cn1nc(-c2cc3ccccn3n2)ccc1=O; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cn1nc(-c2ccc3c(c2)CC(C)(C)O3)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(N3CCCCC3)cc2)ccc1=O; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccc(=O)n(C)n3)c2c1; [None]; [None]; [0]
-Cn1nc(-c2cccc3ccc(O)cc23)ccc1=O; [None]; [None]; [0]
-COc1cc(F)c(-c2ccc(=O)n(C)n2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2ccc(=O)n(C)n2)ccc1Cl; [None]; [None]; [0]
-Cn1nc(-c2ncc(Cl)cn2)ccc1=O; [None]; [None]; [0]
-Cc1csc2c(-c3ccc(=O)n(C)n3)ncnc12; [None]; [None]; [0]
-Cc1nc(Nc2ccc(=O)n(C)n2)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2ccc(=O)n(C)n2)nn1C; [None]; [None]; [0]
-Cn1nc(-c2cccc(-n3nccn3)c2)ccc1=O; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(=O)n(C)n2)o1; [None]; [None]; [0]
-COc1cc(-c2ccc(=O)n(C)n2)c(OC)cc1Br; [None]; [None]; [0]
-Cn1nc(NC(=O)c2ccco2)ccc1=O; [None]; [None]; [0]
-Cn1nc(Cc2ccc(C(N)=O)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(Cc2ccc(S(=O)(=O)CCO)cc2)ccc1=O; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc(=O)n(C)n2)CC1; [None]; [None]; [0]
-Cn1nc(-c2cc(F)cc3c2OCOC3)ccc1=O; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc(=O)n(C)n2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc(=O)n(C)n2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc(=O)n(C)n3)cc2c1; [None]; [None]; [0]
-Cn1nc(-c2ccc3cn[nH]c3c2)ccc1=O; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cn1nc(NC(=O)c2ccc(C(C)(C)C)cc2)ccc1=O; [None]; [None]; [0]
-CC(C)Oc1ccc(=O)n(C)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cn1nc(-c2ccc(C[NH+](C)C)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cc(-c3cccnc3)ccn2)ccc1=O; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-CCn1cc(-c2ccc(=O)n(C)n2)cn1; [None]; [None]; [0]
-Cc1nc(-c2ccc(=O)n(C)n2)c2sccc2n1; [None]; [None]; [0]
-Cn1nc(-c2cc3ccccc3o2)ccc1=O; [None]; [None]; [0]
-COC(=O)Nc1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2ncc3sccc3n2)ccc1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-Cn1nc(-c2ncc3cc(Cl)ccc3n2)ccc1=O; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc(=O)n(C)n3)[nH]c2c1; [None]; [None]; [0]
-Cn1nc(OC(F)(F)F)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc(NC(=O)N3CCCC3)c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cscn2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(=O)[O-])c(Cl)c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(OC(F)(F)F)cc2)ccc1=O; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccc(=O)n(C)n2)n1; [None]; [None]; [0]
-CCc1cccc(-c2ccc(=O)n(C)n2)n1; [None]; [None]; [0]
-Cn1nc(-c2cn(C)c3ccccc23)ccc1=O; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)n(C)n2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1nc(-c2ccc3c(cnn3C)c2)ccc1=O; [None]; [None]; [0]
-Cc1ccc(-c2ccc(=O)n(C)n2)nc1C; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc(=O)n(C)n3)ccc12; [None]; [None]; [0]
-Cn1nc(-c2cccc(N3CCCC3=O)c2)ccc1=O; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(=O)n(C)n2)cn1; [None]; [None]; [0]
-Cn1nc(C2CCC(F)(F)CC2)ccc1=O; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(CCC[NH+](C)C)ccc1=O; [None]; [None]; [0]
-Cn1nc(C2CCS(=O)(=O)CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(CC2CCOCC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(CCO)cc2)ccc1=O; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc(=O)n(C)n2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(=O)n(C)n2)c(OC)c1; [None]; [None]; [0]
-Cn1nc(OCCC[NH+](C)C)ccc1=O; [None]; [None]; [0]
-Cn1nc(Nc2ccccn2)ccc1=O; [None]; [None]; [0]
-Cn1nc(Nc2ccc(F)cn2)ccc1=O; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cn1nc(-c2cc(S(C)(=O)=O)ccc2Cl)ccc1=O; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc(=O)n(C)n1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc([C@@H]2C[C@H](O)C2)ccc1=O; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc(=O)n(C)n2)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc(=O)n(C)n1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(Cc2cc(F)cc(F)c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccnc3ccccc23)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccccc2P(C)(C)=O)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cc[nH]n2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccnc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc(C(F)(F)F)c2)ccc1=O; [None]; [None]; [0]
-Cc1cccc(-c2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cn1nc(-c2ccccc2F)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccccc2Cl)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccccc2Br)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccccc2C(=O)[O-])ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccccc2OC(F)(F)F)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cnn(Cc3ccccc3)c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccccc2C#N)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2c(F)cccc2F)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccccc2C(N)=O)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccncn2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cnc(-c3ccccc3)[nH]2)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@@H](N)c2ccco2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2csc(C(C)(C)C)n2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc3c(c2)CCC3)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc(NC(=O)c3ccccc3)c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cnn(CCO)c2)ccc1=O; [None]; [None]; [0]
-COc1cnc(-c2ccc(=O)n(C)n2)nc1; [None]; [None]; [0]
-Cn1nc([C@@H]2CC[C@@H](CO)OC2)ccc1=O; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(=O)n(C)n2)c(Br)c1; [None]; [None]; [0]
-Cn1nc(-c2cnc3ccccn23)ccc1=O; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(CC2CCCCC2)ccc1=O; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc(=O)n(C)n2)s1; [None]; [None]; [0]
-Cn1nc(-c2cnco2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2c(Cl)cccc2Cl)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc(Cn3cncn3)c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(OC2CCCCC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(NC(C)(C)C)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc(Cl)c2Cl)ccc1=O; [None]; [None]; [0]
-Cn1nc(NCc2cccnc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccnc(N)n2)ccc1=O; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-CCC(C)(C)c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2ccc3ccccc3c2)ccc1=O; [None]; [None]; [0]
-Cc1ncc(-c2ccc(=O)n(C)n2)[nH]1; [None]; [None]; [0]
-Cn1nc(-c2ccc(Cl)s2)ccc1=O; [None]; [None]; [0]
-C[C@H](CO)Nc1ccc(=O)n(C)n1; [None]; [None]; [0]
-COc1cccc(-c2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cn1nc(-n2cnc3ccccc32)ccc1=O; [None]; [None]; [0]
-Cn1nc(Nc2cccnc2)ccc1=O; [None]; [None]; [0]
-CC(C)COc1ccc(=O)n(C)n1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc(=O)n(C)n1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(NCCc2c[nH]cn2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc(CC(=O)[O-])c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(NC(=O)c2cccs2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cncc3ccccc23)ccc1=O; [None]; [None]; [0]
-Cn1nc(NCCc2ccccc2)ccc1=O; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(=O)n(C)n2)n1; [None]; [None]; [0]
-CCCCc1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2ccc3c(N)[nH]nc3c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc(CO)c2)ccc1=O; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc(=O)n(C)n3)cc2)cn1; [None]; [None]; [0]
-Cn1nc(CCC[NH3+])ccc1=O; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(Nc2ccncc2)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@@H]2CCC[C@H]([NH3+])C2)ccc1=O; [None]; [None]; [0]
-Cn1cncc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2cccs2)ccc1=O; [None]; [None]; [0]
-CSc1nc(-c2ccc(=O)n(C)n2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-CC(C)Nc1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2cccc(CCC#N)c2)ccc1=O; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc(=O)n(C)n3)cc2s1; [None]; [None]; [0]
-Cn1nc(-c2csc3ncncc23)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(F)cc2C(F)(F)F)ccc1=O; [None]; [None]; [0]
-Cn1nc(N2CCC(S(C)(=O)=O)CC2)ccc1=O; [None]; [None]; [0]
-CCC(=O)Nc1ccc(=O)n(C)n1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccc(=O)n(C)n2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(=O)n(C)n2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)n(C)n2)no1; [None]; [None]; [0]
-C[C@H](c1ccc(=O)n(C)n1)C(F)(F)F; [None]; [None]; [0]
-Cn1nc(-c2cnoc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cnn3ccccc23)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cc[nH]c(=O)c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccn([C@@H2]CO)c(=O)c2)ccc1=O; [None]; [None]; [0]
-CCCn1cc(-c2ccc(=O)n(C)n2)cn1; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(C)(C)N)cc2)ccc1=O; [None]; [None]; [0]
-COc1cc(CCc2ccc(=O)n(C)n2)cc(OC)c1; [None]; [None]; [0]
-Cn1nc(-c2cccc3c2C(=O)CC3)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc([S@](C)=O)cc2)ccc1=O; [None]; [None]; [0]
-CCOC(=O)Cc1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2ccc(Cl)c(C(=O)[O-])c2)ccc1=O; [None]; [None]; [0]
-CCN(CC)c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2cc3c(=O)[nH]ccc3o2)ccc1=O; [None]; [None]; [0]
-COc1ccncc1Nc1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(Nc2cnc3ccccc3c2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2c[nH]c3cnccc23)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cnc3[nH]ccc3c2)ccc1=O; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc([C@@H]2CCCN(C(=O)CC#N)C2)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@@H]2CC[C@@H](NC(=O)O)C2)ccc1=O; [None]; [None]; [0]
-Cn1nc(C2(C)CCN(S(C)(=O)=O)CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@@H]2CC[C@@H](CCC#N)CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@@H]2CC[C@@H](CC#N)CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@@H]2CC[C@@H](C#N)CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(S(C)(=O)=O)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@H]2COCC[C@@H]2C#N)ccc1=O; [None]; [None]; [0]
-Cn1nc(-n2ccc(CO)n2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-n2cnc(CCO)c2)ccc1=O; [None]; [None]; [0]
-Cc1cc(-c2ccc(=O)n(C)n2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ccc(=O)n(C)n1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ccc(=O)n(C)n1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccc(=O)n(C)n1)C(C)(C)C; [None]; [None]; [0]
-Cn1nc(-n2ncc3ccccc32)ccc1=O; [None]; [None]; [0]
-Cn1nc(-n2ncc3c(O)cccc32)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc(F)c2C(N)=O)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccnc2O)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(-n3cncn3)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2nc[nH]n2)ccc1=O; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc(=O)n(C)n2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(NCC(C)(C)[NH3+])ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2ccc(C(=O)c3ccccc3)cc2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2nc3ccc(O)cc3[nH]2)ccc1=O; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-COc1ccc(-c2ccc(=O)n(C)n2)c(OC)c1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(CCC(=O)NCc2ccccn2)ccc1=O; [None]; [None]; [0]
-Cn1nc(OC2CCOCC2)ccc1=O; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2nncn2C2CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cn(Cc3ccccc3)nn2)ccc1=O; [None]; [None]; [0]
-CCc1cc(-c2ccc(=O)n(C)n2)nc(N)n1; [None]; [None]; [0]
-C[C@@H](Nc1ccc(=O)n(C)n1)C(C)(C)C; [None]; [None]; [0]
-Cn1nc(-c2cnc(N)s2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2nnc(N)s2)ccc1=O; [None]; [None]; [0]
-CCCCc1cc(-c2ccc(=O)n(C)n2)nc(N)n1; [None]; [None]; [0]
-Cn1nc(-c2csc(N3CCOCC3)n2)ccc1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(=O)n(C)n2)s1; [None]; [None]; [0]
-Cc1cncc(-c2ccc(=O)n(C)n2)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2nc3ccccc3s2)ccc1=O; [None]; [None]; [0]
-Cn1nc([C@H]2CCCN2C(N)=O)ccc1=O; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc(=O)n(C)n2)[nH]1; [None]; [None]; [0]
-Cn1nc(-c2nc(N)c3ccccc3n2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cnccc2N2CCOCC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cccc3ccsc23)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2cn(C)n(C)c2=O)ccc1=O; [None]; [None]; [0]
-Cn1nc(-c2c[nH]c3cccnc23)ccc1=O; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc(=O)n(C)n1; [None]; [None]; [0]
-Cn1nc(-c2ncc3cc[nH]c3n2)ccc1=O; [None]; [None]; [0]
-Cn1nc(O[C@@H]2CC[C@H](O)CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(OC(C)(C)C)ccc1=O; [None]; [None]; [0]
-Cn1nc(NCC(C)(C)C)ccc1=O; [None]; [None]; [0]
-Cn1nc(Cc2ccccc2NS(C)(=O)=O)ccc1=O; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccc(=O)n(C)n2)c1; [None]; [None]; [0]
-Cn1nc([C@H]2CC[C@@](C)(O)CC2)ccc1=O; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc(=O)n(C)n2)cnn1; [None]; [None]; [0]
-c1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1']; ['Nc1ccccc1']; [0.998565376]
-Cn1nc(N2CC=C(c3c[nH]c4ccccc34)CC2)ccc1=O; [None]; [None]; [0]
-Cn1nc(N2CCC(c3nc4ccccc4[nH]3)CC2)ccc1=O; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1Nc1ccncn1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2Nc2ccncn2)[nH]1; [None]; [None]; [0]
-c1cc(NC2CCOCC2)ncn1; ['Clc1ccncn1']; ['NC1CCOCC1']; [0.99965167]
-CP(C)(=O)c1ccccc1Nc1ccncn1; ['CP(C)(=O)c1ccccc1N']; ['Clc1ccncn1']; [0.999215126]
-COC(C)(C)CCNc1ccncn1; [None]; [None]; [0]
-O=C([O-])c1ccccc1Nc1ccncn1; [None]; [None]; [0]
-CC(C)(C)c1nc(Nc2ccncn2)cs1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)Nc1ccncn1; [None]; [None]; [0]
-Cc1cccc(Nc2ccncn2)c1; ['Cc1cccc(N)c1']; ['Clc1ccncn1']; [0.999952078]
-c1cc(NC2CCCCC2)ncn1; ['Clc1ccncn1']; ['NC1CCCCC1']; [0.997784078]
-OC[C@@H]1CC[C@@H](Nc2ccncn2)CO1; [None]; [None]; [0]
-c1cc(NCC2CCCCC2)ncn1; ['Clc1ccncn1']; ['NCC1CCCCC1']; [0.999951839]
-COc1cnc(Nc2ccncn2)nc1; ['COc1cnc(Cl)nc1']; ['Nc1ccncn1']; [0.995963216]
-CNc1nc(C)c(Nc2ccncn2)s1; [None]; [None]; [0]
-CC(C)C(=O)CONc1ccncn1; [None]; [None]; [0]
-Cc1nc2ccccn2c1Nc1ccncn1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(Nc2ccncn2)c1; [None]; [None]; [0]
-CCC(C)(C)Nc1ccncn1; [None]; [None]; [0]
-c1cc(NNCCc2c[nH]cn2)ncn1; [None]; [None]; [0]
-CCCCNc1ccncn1; ['CCCCN']; ['Clc1ccncn1']; [0.998513401]
-O=C([O-])Cc1cccc(Nc2ccncn2)c1; [None]; [None]; [0]
-Nc1[nH]nc2cc(Nc3ccncn3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['Nc1ccncn1']; [0.999694943]
-COC(=O)[C@@H](N)CNc1ccncn1; [None]; [None]; [0]
-Cn1cc(-c2ccc(Nc3ccncn3)cc2)cn1; [None]; [None]; [0]
-c1ccc(CCNNc2ccncn2)cc1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)ONc1ccncn1; [None]; [None]; [0]
-Cn1ncc2cc(Nc3ccncn3)ccc21; ['Clc1ccncn1']; ['Cn1ncc2cc(N)ccc21']; [0.99999404]
-[NH3+]CCCNc1ccncn1; [None]; [None]; [0]
-CCCn1cnc(Nc2ccncn2)n1; [None]; [None]; [0]
-CSc1nc(Nc2ccncn2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1Nc1ccncn1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](Nc2ccncn2)C1; [None]; [None]; [0]
-CCNc1nc2ccc(Nc3ccncn3)cc2s1; [None]; [None]; [0]
-FC(F)(F)ONc1ccncn1; [None]; [None]; [0]
-C[C@H](Nc1ccncn1)C(F)(F)F; ['C[C@H](N)C(F)(F)F']; ['Clc1ccncn1']; [0.998157799]
-c1cc(Nc2csc3ncncc23)ncn1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(Nc2ccncn2)CC1; [None]; [None]; [0]
-Cn1cc(Nc2ccncn2)c2ccccc21; [None]; [None]; [0]
-O=c1cc(Nc2ccncn2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(Nc2ccncn2)cc[nH]1; ['Clc1ccncn1']; ['Nc1cc[nH]c(=O)c1']; [0.999917269]
-COc1cc(CCNc2ccncn2)cc(OC)c1; ['COc1cc(CCN)cc(OC)c1']; ['Clc1ccncn1']; [0.99931]
-c1ccn2ncc(Nc3ccncn3)c2c1; [None]; [None]; [0]
-O=C([O-])c1cc(Nc2ccncn2)ccc1Cl; ['Nc1ccncn1']; ['O=C([O-])c1cc(F)ccc1Cl']; [0.874247611]
-c1cc(Nc2cnc3[nH]ccc3c2)ncn1; ['Clc1ccncn1']; ['Nc1cnc2[nH]ccc2c1']; [0.999575198]
-CC(C)(C)NC(=O)NNc1ccncn1; [None]; [None]; [0]
-CC1(Nc2ccncn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](Nc2ccncn2)CC1; [None]; [None]; [0]
-c1cc(Nc2ccc(N3CCOCC3)cc2)ncn1; ['Clc1ccncn1']; ['Nc1ccc(N2CCOCC2)cc1']; [0.999982476]
-CNC(=O)c1c(F)cccc1Nc1ccncn1; [None]; [None]; [0]
-OCc1ccn(Nc2ccncn2)n1; [None]; [None]; [0]
-OCCc1cn(Nc2ccncn2)cn1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](Nc2ccncn2)C1; [None]; [None]; [0]
-C[C@@H](NNc1ccncn1)C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2ccncn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](NNc1ccncn1)C(C)(C)O; [None]; [None]; [0]
-c1cc(Nc2ccc(-n3cncn3)cc2)ncn1; ['Clc1ccncn1']; ['Nc1ccc(-n2cncn2)cc1']; [0.999959826]
-C[C@H](NNc1ccncn1)C(C)(C)C; [None]; [None]; [0]
-CSc1nc(C)c(Nc2ccncn2)[nH]1; [None]; [None]; [0]
-c1cc(Nc2nc[nH]n2)ncn1; ['Clc1ccncn1']; ['Nc1nc[nH]n1']; [0.882275522]
-Cc1nc[nH]c1Nc1ccncn1; [None]; [None]; [0]
-CC(C)([NH3+])CNNc1ccncn1; [None]; [None]; [0]
-CC(C)n1cnnc1Nc1ccncn1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1Nc1ccncn1; [None]; [None]; [0]
-Cn1cnnc1Nc1ccncn1; [None]; [None]; [0]
-c1cc(Nc2nncn2C2CC2)ncn1; [None]; [None]; [0]
-C[C@@H](NNc1ccncn1)C(C)(C)C; [None]; [None]; [0]
-c1ccc(Cn2cc(Nc3ccncn3)nn2)cc1; [None]; [None]; [0]
-O=C(CCNc1ccncn1)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(Nc2ccncn2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['Nc1ccncn1']; [0.988764048]
-CCCCc1cc(Nc2ccncn2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ccncn2)s1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1Nc1ccncn1; [None]; [None]; [0]
-c1cc(NCC2CCOCC2)ncn1; [None]; [None]; [0]
-c1cc(Nc2csc(N3CCOCC3)n2)ncn1; [None]; [None]; [0]
-c1ccc2nc(Nc3ccncn3)ncc2c1; ['Clc1ccncn1']; ['Nc1ncc2ccccc2n1']; [0.999945641]
-c1cc(Nc2ncc3cc[nH]c3n2)ncn1; ['Clc1ncc2cc[nH]c2n1']; ['Nc1ccncn1']; [0.99995327]
-CC(=O)Nc1ncc(Nc2ccncn2)[nH]1; [None]; [None]; [0]
-Cn1cc(Nc2ccncn2)c(=O)n1C; [None]; [None]; [0]
-c1cc(Nc2cnccc2N2CCOCC2)ncn1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](ONc2ccncn2)CC1; [None]; [None]; [0]
-CN(C)c1cc(Nc2ccncn2)cnn1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2ccncn2)cc1; ['CC(=O)N(C)c1ccc(N)cc1']; ['Clc1ccncn1']; [0.998809338]
-O=C(Nc1cccc(Nc2ccncn2)c1)C1CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1CNc1ccncn1; ['CS(=O)(=O)Nc1ccccc1C=O']; ['Nc1ccncn1']; [0.944846153]
-CS(=O)(=O)Nc1ccc(Nc2ccncn2)cn1; [None]; [None]; [0]
-COc1cccc(N2CCC(Nc3ccncn3)CC2)c1; ['COc1cccc(N2CCC(=O)CC2)c1']; ['Nc1ccncn1']; [0.999260128]
-O=C(c1ccc(Nc2ccncn2)cc1)N1CCOCC1; ['Clc1ccncn1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1']; [0.999938369]
-CC(=O)NCc1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.902222]
-CN(C)S(=O)(=O)c1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-O=C(c1ccc(Nc2ccncn2)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(Nc2ccncn2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1']; ['Clc1ccncn1']; [0.979572833]
-CS(=O)(=O)N1CCC(Nc2ccncn2)CC1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2ccncn2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N']; ['O=c1ccnc[nH]1', 'Clc1ccncn1']; [0.996347606, 0.996347606]
-O=C(c1ccccc1)N1CC[C@H](Nc2ccncn2)C1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2ccncn2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['Clc1ccncn1']; [0.99922812]
-Cc1c(Nc2ccncn2)cccc1C(=O)[O-]; [None]; [None]; [0]
-c1ccc(-c2cc(Nc3ccncn3)n[nH]2)cc1; ['Clc1ccncn1']; ['Nc1cc(-c2ccccc2)[nH]n1']; [0.993851423]
-COc1cccc(C(=O)N2CCC(Nc3ccncn3)CC2)c1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2Nc2ccncn2)cc1; [None]; [None]; [0]
-c1cc(Nc2cc(N3CCOCC3)ccn2)ncn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1ccncn1; ['COc1cc(N2CCOCC2)ccc1N']; ['Clc1ccncn1']; [0.999962]
-CC(=O)N[C@@H]1CC[C@@H](Nc2ccncn2)CC1; [None]; [None]; [0]
-COCCNc1ccncn1; ['COCCN', 'COCCN']; ['Clc1ccncn1', 'Oc1ccncn1']; [0.999955773, 0.999955773]
-[NH3+][C@@H]1CC[C@@H](Nc2ccncn2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(Nc3ccncn3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1']; ['Clc1ccncn1']; [0.996437788]
-CC(C)(C)c1ccc(Nc2ccncn2)cn1; [None]; [None]; [0]
-COc1cc(Nc2ccncn2)ccc1N1CCOCC1; [None]; [None]; [0]
-COc1cccc(C(=O)NNc2ccncn2)c1; ['COc1cccc(C(=O)NN)c1']; ['Clc1ccncn1']; [0.958449066]
-c1ccn2nc(Nc3ccncn3)cc2c1; [None]; [None]; [0]
-c1cc(Nc2ccc(N3CCCCC3)cc2)ncn1; [None]; [None]; [0]
-c1cc2cnc(Nc3ccncn3)nn2c1; [None]; [None]; [0]
-Clc1cnc(Nc2ccncn2)nc1; ['Clc1cnc(Cl)nc1', 'Clc1ccncn1']; ['Nc1ccncn1', 'Nc1ncc(Cl)cn1']; [0.9989568, 0.9989568]
-c1cc(Nc2ccncn2)cc(-n2nccn2)c1; ['Clc1ccncn1']; ['Nc1cccc(-n2nccn2)c1']; [0.999998689]
-CC1(C)Cc2cc(Nc3ccncn3)ccc2O1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2ccncn2)CC1; [None]; [None]; [0]
-Cc1csc2c(Nc3ccncn3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1ccncn1']; [0.999329805]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](Nc2ccncn2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(Nc3ccncn3)c1)OCOC2; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2ccncn2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2ccncn2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['Clc1ccncn1']; [0.999463618]
-C[NH+](C)Cc1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-COc1ccc2oc(Nc3ccncn3)cc2c1; [None]; [None]; [0]
-Cc1nc(Nc2ccncn2)c2sccc2n1; [None]; [None]; [0]
-c1cc(Nc2ncc3sccc3n2)ncn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
-Clc1ccc2nc(Nc3ccncn3)ncc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(Nc3ccncn3)c2)c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1ccncn1; [None]; [None]; [0]
-COc1ccc2nc(Nc3ccncn3)[nH]c2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2ccncn2)cc1Cl; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2ccncn2)c1)N1CCCC1; [None]; [None]; [0]
-Cc1cc(Nc2ccncn2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(Nc2ccncn2)cn1; [None]; [None]; [0]
-FC1(F)CCC(Nc2ccncn2)CC1; ['Nc1ccncn1']; ['O=C1CCC(F)(F)CC1']; [0.999327421]
-C[C@H]1CCCN1c1cccc(Nc2ccncn2)n1; [None]; [None]; [0]
-O=S1(=O)CCC(Nc2ccncn2)CC1; ['Clc1ccncn1']; ['NC1CCS(=O)(=O)CC1']; [0.999891877]
-Cc1cc(N2CCOCC2)ccc1Nc1ccncn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ccncn2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2ccncn2)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['Clc1ccncn1']; [0.983797729]
-Cc1n[nH]c2cc(Nc3ccncn3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['Nc1ccncn1']; [0.99999404]
-COc1cc(N2CCC(O)CC2)ccc1Nc1ccncn1; ['COc1cc(N2CCC(O)CC2)ccc1N']; ['Clc1ccncn1']; [0.999991536]
-C[C@H](CS(C)(=O)=O)Nc1ccncn1; [None]; [None]; [0]
-Brc1cnc(Nc2ccccc2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1']; ['Nc1ccccc1', 'Nc1ccccc1']; [0.999979615, 0.999979615]
-Cc1ccc(C(=O)NCCO)cc1Nc1ccncn1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ccncn2)c(OC)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1Nc1ncc(Br)cn1; ['CC(C)S(=O)(=O)c1ccccc1N']; ['Clc1ncc(Br)cn1']; [0.999783218]
-Cc1nnc(-c2ccccc2Nc2ncc(Br)cn2)[nH]1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1Nc1ncc(Br)cn1; ['CP(C)(=O)c1ccccc1N']; ['CSc1ncc(Br)cn1']; [0.997359097]
-CNC(=O)c1ccc(C)c(Nc2ccncn2)c1; [None]; [None]; [0]
-Brc1cnc(NC2CCOCC2)nc1; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'NC1CCOCC1']; ['NC1CCOCC1', 'NC1CCOCC1', 'O=c1ncc(Br)c[nH]1']; [0.999997616, 0.999997616, 0.999997616]
-COC(C)(C)CCNc1ncc(Br)cn1; [None]; [None]; [0]
-O=C([O-])c1ccccc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)Nc1ncc(Br)cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(Nc2ncc(Br)cn2)cs1; [None]; [None]; [0]
-COc1cnc(Nc2ncc(Br)cn2)nc1; ['COc1cnc(Br)nc1']; ['Nc1ncc(Br)cn1']; [0.946324229]
-Cc1cccc(Nc2ncc(Br)cn2)c1; ['Brc1cnc(I)nc1', 'Cc1cccc(N)c1']; ['Cc1cccc(N)c1', 'Fc1ncc(Br)cn1']; [0.999989033, 0.999989033]
-OC[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CO1; [None]; [None]; [0]
-Cc1nc2ccccn2c1Nc1ncc(Br)cn1; [None]; [None]; [0]
-Brc1cnc(NC2CCCCC2)nc1; ['Brc1cnc(I)nc1', 'NC1CCCCC1']; ['NC1CCCCC1', 'O=c1ncc(Br)c[nH]1']; [0.999985099, 0.999985099]
-Brc1cnc(NCC2CCCCC2)nc1; ['Nc1ncc(Br)cn1', 'Brc1cnc(I)nc1']; ['O=CC1CCCCC1', 'NCC1CCCCC1']; [0.999985933, 0.999985933]
-CC(C)C(=O)CONc1ncc(Br)cn1; [None]; [None]; [0]
-CNc1nc(C)c(Nc2ncc(Br)cn2)s1; [None]; [None]; [0]
-CCC(C)(C)Nc1ncc(Br)cn1; [None]; [None]; [0]
-Brc1cnc(Nc2cccc(Cn3cncn3)c2)nc1; [None]; [None]; [0]
-Brc1cnc(NNCCc2c[nH]cn2)nc1; [None]; [None]; [0]
-CCCCNc1ncc(Br)cn1; ['CCCCO']; ['Nc1ncc(Br)cn1']; [0.924932539]
-O=C([O-])Cc1cccc(Nc2ncc(Br)cn2)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)CNc1ncc(Br)cn1; ['COC(=O)[C@@H](N)CN']; ['Clc1ncc(Br)cn1']; [0.990452647]
-Brc1cnc(NNCCc2ccccc2)nc1; ['ClCCc1ccccc1']; ['NNc1ncc(Br)cn1']; [0.936078668]
-Cn1ncc2cc(Nc3ncc(Br)cn3)ccc21; ['CS(=O)(=O)c1ncc(Br)cn1']; ['Cn1ncc2cc(N)ccc21']; [0.999809086]
-Nc1[nH]nc2cc(Nc3ncc(Br)cn3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(Nc3ncc(Br)cn3)cc2)cn1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)ONc1ncc(Br)cn1; [None]; [None]; [0]
-[NH3+]CCCNc1ncc(Br)cn1; [None]; [None]; [0]
-CCCn1cnc(Nc2ncc(Br)cn2)n1; [None]; [None]; [0]
-CSc1nc(Nc2ncc(Br)cn2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](Nc2ncc(Br)cn2)C1; [None]; [None]; [0]
-CCNc1nc2ccc(Nc3ncc(Br)cn3)cc2s1; [None]; [None]; [0]
-Brc1cnc(Nc2csc3ncncc23)nc1; [None]; [None]; [0]
-FC(F)(F)ONc1ncc(Br)cn1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
-Cn1cc(Nc2ncc(Br)cn2)c2ccccc21; [None]; [None]; [0]
-O=c1cc(Nc2ncc(Br)cn2)cc[nH]1; ['CSc1ncc(Br)cn1']; ['Nc1cc[nH]c(=O)c1']; [0.986227095]
-C[C@H](Nc1ncc(Br)cn1)C(F)(F)F; ['C[C@H](N)C(F)(F)F', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Fc1ncc(Br)cn1', 'C[C@H](N)C(F)(F)F']; [0.998357, 0.998357]
-COc1cc(CCNc2ncc(Br)cn2)cc(OC)c1; ['Brc1cnc(Br)nc1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1']; ['COc1cc(CCN)cc(OC)c1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; [0.994369924, 0.994369924, 0.994369924]
-O=c1cc(Nc2ncc(Br)cn2)ccn1[C@@H2]CO; [None]; [None]; [0]
-Brc1cnc(Nc2cnn3ccccc23)nc1; [None]; [None]; [0]
-Brc1cnc(Nc2cnc3[nH]ccc3c2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1']; [0.999954104, 0.999954104]
-O=C([O-])c1cc(Nc2ncc(Br)cn2)ccc1Cl; [None]; [None]; [0]
-CC(C)(C)NC(=O)NNc1ncc(Br)cn1; ['CC(C)(C)N=C=O']; ['NNc1ncc(Br)cn1']; [0.999984741]
-CNC(=O)c1c(F)cccc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
-CC1(Nc2ncc(Br)cn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)C1; [None]; [None]; [0]
-Brc1cnc(Nc2ccc(N3CCOCC3)cc2)nc1; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999996662, 0.999996662, 0.999996662, 0.999996662]
-OCc1ccn(Nc2ncc(Br)cn2)n1; [None]; [None]; [0]
-Cc1cc(Nc2ncc(Br)cn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](NNc1ncc(Br)cn1)C(C)(C)C; [None]; [None]; [0]
-OCCc1cn(Nc2ncc(Br)cn2)cn1; [None]; [None]; [0]
-C[C@H](NNc1ncc(Br)cn1)C(C)(C)O; [None]; [None]; [0]
-Brc1cnc(Nc2ccc(-n3cncn3)cc2)nc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1']; [0.999986172, 0.999986172, 0.999986172]
-C[C@@H](NNc1ncc(Br)cn1)C(C)(C)O; [None]; [None]; [0]
-Brc1cnc(Nc2nc[nH]n2)nc1; ['Fc1ncc(Br)cn1']; ['Nc1nc[nH]n1']; [0.9972682]
-CC(C)([NH3+])CNNc1ncc(Br)cn1; [None]; [None]; [0]
-Cc1nc[nH]c1Nc1ncc(Br)cn1; [None]; [None]; [0]
-CSc1nc(C)c(Nc2ncc(Br)cn2)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-Cn1cnnc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-CC(C)n1cnnc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-O=C(CCNc1ncc(Br)cn1)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(Nc2ncc(Br)cn2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['Nc1ncc(Br)cn1']; [0.999903083]
-C[C@@H](NNc1ncc(Br)cn1)C(C)(C)C; [None]; [None]; [0]
-Brc1cnc(Nc2nncn2C2CC2)nc1; [None]; [None]; [0]
-CCCCc1cc(Nc2ncc(Br)cn2)nc(N)n1; [None]; [None]; [0]
-Brc1cnc(Nc2csc(N3CCOCC3)n2)nc1; [None]; [None]; [0]
-Brc1cnc(Nc2cn(Cc3ccccc3)nn2)nc1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1Nc1ncc(Br)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ncc(Br)cn2)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(Nc2ncc(Br)cn2)[nH]1; [None]; [None]; [0]
-Brc1cnc(NCC2CCOCC2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['NCC1CCOCC1', 'NCC1CCOCC1']; [0.99999094, 0.99999094]
-Brc1cnc(Nc2ncc3cc[nH]c3n2)nc1; ['Clc1ncc2cc[nH]c2n1']; ['Nc1ncc(Br)cn1']; [0.999503]
-Cn1cc(Nc2ncc(Br)cn2)c(=O)n1C; [None]; [None]; [0]
-Brc1cnc(Nc2cnccc2N2CCOCC2)nc1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](ONc2ncc(Br)cn2)CC1; [None]; [None]; [0]
-CN(C)c1cc(Nc2ncc(Br)cn2)cnn1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2ncc(Br)cn2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1ncc(Br)cn1']; [0.973230124]
-CS(=O)(=O)Nc1ccccc1CNc1ncc(Br)cn1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2ncc(Br)cn2)c1)C1CC1; [None]; [None]; [0]
-COc1cccc(N2CCC(Nc3ncc(Br)cn3)CC2)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.996888936]
-CC(=O)NCc1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(Nc2ncc(Br)cn2)cn1; [None]; [None]; [0]
-O=C(c1ccc(Nc2ncc(Br)cn2)cc1)N1CCOCC1; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1']; [0.999997139, 0.999997139]
-O=C(c1ccc(Nc2ncc(Br)cn2)nc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['Brc1cnc(I)nc1']; ['CN(C)S(=O)(=O)c1ccc(N)cc1']; [0.999370754]
-C[C@@H](O)COc1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(Nc2ncc(Br)cn2)CC1; ['CS(=O)(=O)N1CCC(N)CC1']; ['CS(=O)(=O)c1ncc(Br)cn1']; [0.999677777]
-CCNS(=O)(=O)c1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2ncc(Br)cn2)cc1Cl; ['Brc1cnc(I)nc1', 'COc1cc(OC)c(Cl)cc1N']; ['COc1cc(OC)c(Cl)cc1N', 'Clc1ncc(Br)cn1']; [0.99909842, 0.99909842]
-O=C(c1ccccc1)N1CC[C@H](Nc2ncc(Br)cn2)C1; [None]; [None]; [0]
-Cc1c(Nc2ncc(Br)cn2)cccc1C(=O)[O-]; [None]; [None]; [0]
-Cc1cc(Nc2ncc(Br)cn2)sn1; ['Cc1cc(N)sn1']; ['Clc1ncc(Br)cn1']; [0.998872101]
-CN(C)c1ccc(Nc2ncc(Br)cn2)cc1Cl; ['Brc1cnc(Br)nc1']; ['CN(C)c1ccc(N)cc1Cl']; [0.984095454]
-COc1cccc(C(=O)N2CCC(Nc3ncc(Br)cn3)CC2)c1; [None]; [None]; [0]
-Brc1cnc(Nc2cc(-c3ccccc3)[nH]n2)nc1; [None]; [None]; [0]
-Brc1cnc(Nc2cc(N3CCOCC3)ccn2)nc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1ncc(Br)cn1']; [0.981478333]
-Brc1cnc(Nc2cccnc2Oc2ccccc2)nc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1ncc(Br)cn1; ['Brc1cnc(I)nc1']; ['COc1cc(N2CCOCC2)ccc1N']; [0.999981284]
-[NH3+][C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
-COCCNc1ncc(Br)cn1; ['Brc1cnc(Br)nc1', 'COCCN']; ['COCCN', 'CSc1ncc(Br)cn1']; [0.999940395, 0.999940395]
-CC(C)(C)c1ccc(Nc2ncc(Br)cn2)cn1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(Nc3ncc(Br)cn3)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1ncc(Br)cn1']; [0.877492785]
-COc1cccc(C(=O)NNc2ncc(Br)cn2)c1; ['COc1cccc(C(=O)O)c1']; ['NNc1ncc(Br)cn1']; [0.999955773]
-Brc1cnc(Nc2cc3ccccn3n2)nc1; [None]; [None]; [0]
-COc1cc(Nc2ncc(Br)cn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Brc1cnc(Nc2ncc3cccn3n2)nc1; [None]; [None]; [0]
-Cc1csc2c(Nc3ncc(Br)cn3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1ncc(Br)cn1']; [0.999764502]
-Brc1cnc(Nc2ccc(N3CCCCC3)cc2)nc1; ['CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1ccc(N2CCCCC2)cc1']; [0.998848796]
-CC1(C)Cc2cc(Nc3ncc(Br)cn3)ccc2O1; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2ncc(Br)cn2)CC1; ['CCNC(=O)N1CCC(N)CC1']; ['Clc1ncc(Br)cn1']; [0.999948859]
-Brc1cnc(Nc2cccc(-n3nccn3)c2)nc1; ['Clc1ncc(Br)cn1']; ['Nc1cccc(-n2nccn2)c1']; [0.999973297]
-CO[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(Nc3ncc(Br)cn3)c1)OCOC2; [None]; [None]; [0]
-COc1ccc2oc(Nc3ncc(Br)cn3)cc2c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2ncc(Br)cn2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['Clc1ncc(Br)cn1']; [0.999386907]
-C[NH+](C)Cc1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
-Brc1cnc(Nc2cc(-c3cccnc3)ccn2)nc1; [None]; [None]; [0]
-Brc1cnc(Nc2ncc3sccc3n2)nc1; [None]; [None]; [0]
-Cc1nc(Nc2ncc(Br)cn2)c2sccc2n1; [None]; [None]; [0]
-Clc1ccc2nc(Nc3ncc(Br)cn3)ncc2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
-COc1ccc2nc(Nc3ncc(Br)cn3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2ncc(Br)cn2)c1)N1CCCC1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2ncc(Br)cn2)cc1Cl; [None]; [None]; [0]
-Cc1cc(Nc2ncc(Br)cn2)cc(C)c1OCCO; [None]; [None]; [0]
-FC1(F)CCC(Nc2ncc(Br)cn2)CC1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1']; ['NC1CCC(F)(F)CC1', 'NC1CCC(F)(F)CC1']; [0.999999762, 0.999999762]
-CN(C)c1ccc(Nc2ncc(Br)cn2)cn1; ['CN(C)c1ccc(Br)cn1']; ['Nc1ncc(Br)cn1']; [0.965955853]
-C[C@H]1CCCN1c1cccc(Nc2ncc(Br)cn2)n1; [None]; [None]; [0]
-O=S1(=O)CCC(Nc2ncc(Br)cn2)CC1; ['Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['NC1CCS(=O)(=O)CC1', 'NC1CCS(=O)(=O)CC1']; [0.999987364, 0.999987364]
-Cc1n[nH]c2cc(Nc3ncc(Br)cn3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['Nc1ncc(Br)cn1']; [0.998798728]
-Cc1cc(N2CCOCC2)ccc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ncc(Br)cn2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CCNC(=O)c1ccc(Br)cc1']; ['Nc1ncc(Br)cn1']; [0.986872315]
-COc1cc(N2CCC(O)CC2)ccc1Nc1ncc(Br)cn1; ['Brc1cnc(Br)nc1', 'COc1cc(N2CCC(O)CC2)ccc1N']; ['COc1cc(N2CCC(O)CC2)ccc1N', 'CSc1ncc(Br)cn1']; [0.999923, 0.999923]
-C[C@H](CS(C)(=O)=O)Nc1ncc(Br)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ncc(Br)cn2)c(OC)c1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2ncc(Br)cn2)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-COC(C)(C)CCc1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2S(=O)(=O)C(C)C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2-c2nnc(C)[nH]2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@@H]2C[C@H](O)C2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(Cc2cc(F)cc(F)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2P(C)(C)=O)n1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(C2CCOCC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccnc2)n1; ['CC(=O)OC(C)=O']; ['Nc1nccc(-c2cccnc2)n1']; [0.928925514]
-CC(=O)Nc1nccc(-c2cc[nH]n2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccnc3ccccc23)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(C)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2Cl)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2Br)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2OC(F)(F)F)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2F)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2C(=O)[O-])n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2C#N)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnn(Cc3ccccc3)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2c(F)cccc2F)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccccc2C(N)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccncn2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@@H](N)c2ccco2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2csc(C(C)(C)C)n2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(NC(=O)c3ccccc3)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnn(CCO)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@@H]2CC[C@@H](CO)OC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc3c(c2)CCC3)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(C2CCCCC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(CC2CCCCC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(OCC(=O)C(C)C)n1; [None]; [None]; [0]
-COc1cnc(-c2ccnc(NC(C)=O)n2)nc1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnco2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(C)cc2Br)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2c(C)nc3ccccn23)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2sc(C)nc2C)n1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccnc(NC(C)=O)n2)s1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2sc(N)nc2C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(NC(C)(C)C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(OC2CCCCC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cc(C)ccc2Cl)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(Cl)c2Cl)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(NCc2cccnc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnc(C)[nH]2)n1; [None]; [None]; [0]
-COc1cccc(-c2ccnc(NC(C)=O)n2)c1; ['CC(=O)OC(C)=O']; ['COc1cccc(-c2ccnc(N)n2)c1']; [0.969308615]
-CC(=O)Nc1nccc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
-CCC(C)(C)c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(Nc2cccnc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(Cl)s2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(NCCc2c[nH]cn2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(N[C@H](C)CO)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-n2cnc3ccccc32)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(OCC(C)C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(NC(=O)c2cccs2)n1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CCCCc1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(O[C@H](C)[C@@H](C)O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cncc3ccccc23)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(-c3cnn(C)c3)cc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(NCCc2ccccc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc3c(N)[nH]nc3c2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2ccnc(NC(C)=O)n2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc3c(cnn3C)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(O[C@@H](C)C[NH+](C)C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(O)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(CCC[NH3+])n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(CO)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cncn2C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@@H]2CCC[C@H]([NH3+])C2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(Nc2ccncc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccs2)n1; ['CC(=O)Cl']; ['Nc1nccc(-c2cccs2)n1']; [0.990730345]
-CC(=O)Nc1nccc(-c2ccco2)n1; [None]; [None]; [0]
-CSc1nc(-c2ccnc(NC(C)=O)n2)c[nH]1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnn(C)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2csc3ncncc23)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnoc2C(C)C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(NC(C)C)n1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccnc(NC(C)=O)n2)cc1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(CCC#N)c2)n1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccnc(NC(C)=O)n3)cc2s1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(F)cc2C(F)(F)F)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cn(C)c3ccccc23)n1; ['CC(N)=O']; ['Cn1cc(-c2ccnc(Cl)n2)c2ccccc21']; [0.998556674]
-CC(=O)Nc1cccc(-c2ccnc(NC(C)=O)n2)c1; [None]; [None]; [0]
-CC(=O)Nc1nccc(OC(F)(F)F)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@@H](C)C(F)(F)F)n1; [None]; [None]; [0]
-CCC(=O)Nc1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(N2CCC(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cc(C)on2)n1; [None]; [None]; [0]
-COc1ccc(-c2ccnc(NC(C)=O)n2)cc1Cl; [None]; [None]; [0]
-CCCn1cc(-c2ccnc(NC(C)=O)n2)cn1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cc[nH]c(=O)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnoc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(NC(=O)NC(C)(C)C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc3c2C(=O)CC3)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccn([C@@H2]CO)c(=O)c2)n1; [None]; [None]; [0]
-CCOC(=O)Cc1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(C(C)(C)N)cc2)n1; [None]; [None]; [0]
-COc1cc(CCc2ccnc(NC(C)=O)n2)cc(OC)c1; [None]; [None]; [0]
-CCN(CC)c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc([S@](C)=O)cc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(Cl)c(C(=O)[O-])c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
-COc1ccncc1Nc1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cc3c(=O)[nH]ccc3o2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(Nc2cnc3ccccc3c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(C2(C)CCN(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@H](CO)Cc2ccccc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@@H]2CCCN(C(=O)CC#N)C2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@@H]2CC[C@@H](C#N)CC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@@H]2CC[C@@H](NC(=O)O)C2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@@H]2CC[C@@H](CCC#N)CC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@H]2COCC[C@@H]2C#N)n1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccnc(NC(C)=O)n2)cc1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@@H]2CC[C@@H](CC#N)CC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cc(C)nn2-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-n2ccc(CO)n2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(S(C)(=O)=O)cc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(N[C@@H](C)C(C)(C)O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(N[C@@H](C)C(C)(C)C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-n2cnc(CCO)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-n2ncc3ccccc32)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(F)c2C(N)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(N[C@H](C)C(C)(C)O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2nc[nH]n2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccnc2O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-n2ncc3c(O)cccc32)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccnc(NC(C)=O)n2)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(Cc2ccncc2)n1; [None]; [None]; [0]
-COc1ccc(-c2ccnc(NC(C)=O)n2)c(OC)c1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2[nH]cnc2C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc(C(=O)c3ccccc3)cc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2nncn2C(C)C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2nncn2C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(NCC(C)(C)[NH3+])n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(OC2CCOCC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2nncn2[C@H](C)CO)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-n2ccnc2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(CCC(=O)NCc2ccccn2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnc(N)s2)n1; [None]; [None]; [0]
-CCc1cc(-c2ccnc(NC(C)=O)n2)nc(N)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(N[C@H](C)C(C)(C)C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2nnc(N)s2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc(NC(C)=O)n2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ccnc(NC(C)=O)n2)nc(N)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2csc(N3CCOCC3)n2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cncc(C)n2)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@H]2CCCN2C(N)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnc(NC(C)=O)[nH]2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(CC2CCOCC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cn(C)n(C)c2=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnccc2N2CCOCC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(O[C@@H]2CC[C@H](O)CC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(Cc2cccnc2)n1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(OC(C)(C)C)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(NCC(C)(C)C)n1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccnc(NC(C)=O)n2)c1; [None]; [None]; [0]
-CC(=O)Nc1nccc(Cc2ccccc2NS(C)(=O)=O)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cc(C)cc(C)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc([C@H]2CC[C@@](C)(O)CC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(N2CC=C(c3c[nH]c4ccccc34)CC2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnnc(N(C)C)c2)n1; [None]; [None]; [0]
-c1ccc2nc(-c3ccncn3)ncc2c1; [None]; [None]; [0]
-c1cc(-c2ccc(N3CCOCC3)cc2)ncn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Clc1ccncn1']; ['Clc1ccncn1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999999523, 0.999999523]
-CC(=O)N(C)c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccncn3)CC2)c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccncn3)c2c1; ['Cc1ccc2[nH]cnc2c1']; ['Clc1ccncn1']; [0.995458364]
-c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccncn2)c1)C1CC1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1ccncn1; [None]; [None]; [0]
-O=C(c1ccc(-c2ccncn2)nc1)N1CCOCC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccncn2)cn1; [None]; [None]; [0]
-c1ccc(Cc2ccncn2)cc1; ['Brc1ccccc1']; ['Cc1ccncn1']; [0.956080794]
-CNS(=O)(=O)Cc1ccncn1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccncn2)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ccncn1']; [0.999991655]
-O=C(c1ccc(-c2ccncn2)cc1)N1CCOCC1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ccncn2)CC1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-c1cc(Cc2cncnc2)ncn1; [None]; [None]; [0]
-c1cc(C2CCCCC2)ncn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2ccncn2)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccncn2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(Cc2ccncn2)cn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccncn2)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccncn1; [None]; [None]; [0]
-c1cc(-c2cc(N3CCOCC3)ccn2)ncn1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3ccncn3)n[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccncn1; ['CC(C)(C)NC(N)=O', 'CC(C)(C)N']; ['Clc1ccncn1', 'Nc1ccncn1']; [0.996020257, 0.996020257]
-Cc1cc(-c2ccncn2)sn1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2ccncn2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccncn3)CC2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccncn2)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccncn1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2ccncn2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccncn2)c1; ['C#Cc1cccc(OC)c1', 'COc1cccc(C(N)=O)c1', 'COc1cccc(C=O)c1']; ['Nc1ccncn1', 'Clc1ccncn1', 'Nc1ccncn1']; [0.999975801, 0.999975801, 0.999975801]
-CCCCCc1ccncn1; ['CCCCC[Mg]Br']; ['Clc1ccncn1']; [0.984165549]
-c1cc(C2CCOCC2)ncn1; ['O=C(O)C1CCOCC1']; ['c1cncnc1']; [0.9346295]
-CC(=O)N[C@@H]1CC[C@@H](c2ccncn2)CC1; [None]; [None]; [0]
-c1cc2cnc(-c3ccncn3)nn2c1; [None]; [None]; [0]
-c1cc(CCCn2cncn2)ncn1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccncn3)cc2)CC1; [None]; [None]; [0]
-c1ccn2nc(-c3ccncn3)cc2c1; [None]; [None]; [0]
-CC[NH+](CC)c1ccncn1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccncn3)ccc2O1; [None]; [None]; [0]
-COc1cc(-c2ccncn2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1cc(-c2ccc(N3CCCCC3)cc2)ncn1; ['Clc1ccncn1']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.999999285]
-Cc1csc2c(-c3ccncn3)ncnc12; [None]; [None]; [0]
-Clc1cnc(-c2ccncn2)nc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccncn2)c1; ['COc1ccc(OC)c(Br)c1']; ['Cc1ccncn1']; [0.961575449]
-NC(=O)c1ccc(Cc2ccncn2)cc1; [None]; [None]; [0]
-c1cc(-c2ccncn2)cc(-n2nccn2)c1; [None]; [None]; [0]
-O=C(Nc1ccncn1)c1ccco1; ['Nc1ccncn1']; ['O=C(Cl)c1ccco1']; [0.990927458]
-CO[C@@H]1CC[C@@H](c2ccncn2)CC1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2ccncn2)cc1; [None]; [None]; [0]
-Fc1cc2c(c(-c3ccncn3)c1)OCOC2; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccncn2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ccncn2)cc1; ['COC(=O)c1ccc(C(C)(C)C)cc1']; ['Nc1ccncn1']; [0.99881041]
-CCNC(=O)N1CCC(c2ccncn2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccncn3)cc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3ccncn3)c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccncn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccncn2)c1; [None]; [None]; [0]
-c1cc(-c2ncc3sccc3n2)ncn1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccncn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccncn2)cc1; ['C[C@H]1CCCN1']; ['O=Cc1ccc(-c2ccncn2)cc1']; [0.999637365]
-Cc1nc(-c2ccncn2)c2sccc2n1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccncn2)c1)N1CCCC1; [None]; [None]; [0]
-FC(F)(F)Oc1ccncn1; [None]; [None]; [0]
-Clc1ccc2nc(-c3ccncn3)ncc2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccncn2)cc1Cl; [None]; [None]; [0]
-COc1ccc2nc(-c3ccncn3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=C(O)c1ccncn1']; [0.999721348]
-Cc1cc(-c2ccncn2)cc(C)c1OCCO; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccncn2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccncn2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Clc1ccncn1']; [0.999979138]
-Cn1cc(-c2ccncn2)c2ccccc21; ['Clc1ccncn1']; ['Cn1ccc2ccccc21']; [0.993957281]
-Cn1ncc2cc(-c3ccncn3)ccc21; ['Clc1ccncn1']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999998]
-Cc1n[nH]c2cc(-c3ccncn3)ccc12; [None]; [None]; [0]
-FC1(F)CCC(c2ccncn2)CC1; [None]; [None]; [0]
-C[NH+](C)CCCc1ccncn1; [None]; [None]; [0]
-c1cc(CC2CCOCC2)ncn1; [None]; [None]; [0]
-O=S1(=O)CCC(c2ccncn2)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccncn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccncn2)c(OC)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccncn2)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccncn1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccncn2)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1ccncn1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccncn1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccncn2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccncn1; [None]; [None]; [0]
-COC(C)(C)CCc1ccncn1; [None]; [None]; [0]
-Cc1cccc(-c2ccncn2)c1; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cccc(B(O)O)c1', 'CC(=O)c1cccc(C)c1']; ['Clc1ccncn1', 'Clc1ccncn1', 'O=CNC(NC=O)NC=O']; [0.999982476, 0.999982476, 0.999982476]
-CP(C)(=O)c1ccccc1-c1ccncn1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccncn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccncn2)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccncn1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ccncn2)CO1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccncn1; [None]; [None]; [0]
-c1cc(CC2CCCCC2)ncn1; [None]; [None]; [0]
-COc1cnc(-c2ccncn2)nc1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2ccncn2)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccncn2)s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccncn1; [None]; [None]; [0]
-c1cc(NCCc2c[nH]cn2)ncn1; ['Clc1ccncn1']; ['NCCc1c[nH]cn1']; [0.990341067]
-COC(=O)[C@@H](N)Cc1ccncn1; [None]; [None]; [0]
-CCCCc1ccncn1; ['CCCC[Mg]Cl']; ['Clc1ccncn1']; [0.957135677]
-c1ccc(CCNc2ccncn2)cc1; ['Clc1ccncn1', 'ClCCc1ccccc1']; ['NCCc1ccccc1', 'Nc1ccncn1']; [0.999650359, 0.999650359]
-CCC(C)(C)c1ccncn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccncn3)ccc12; [None]; [None]; [0]
-CCCn1cnc(-c2ccncn2)n1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccncn2)c1; [None]; [None]; [0]
-[NH3+]CCCc1ccncn1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccncn3)cc2)cn1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccncn2)C1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccncn1; [None]; [None]; [0]
-c1cc(-c2csc3ncncc23)ncn1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccncn1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccncn2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1ccncn1']; [0.999924541]
-CSc1nc(-c2ccncn2)c[nH]1; [None]; [None]; [0]
-C[C@H](c1ccncn1)C(F)(F)F; [None]; [None]; [0]
-O=c1cc(-c2ccncn2)cc[nH]1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccncn3)cc2s1; [None]; [None]; [0]
-O=c1cc(-c2ccncn2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccncn2)ccc1Cl; [None]; [None]; [0]
-c1ccn2ncc(-c3ccncn3)c2c1; [None]; [None]; [0]
-COc1cc(CCc2ccncn2)cc(OC)c1; ['COc1cc(CCl)cc(OC)c1', 'COc1cc(CBr)cc(OC)c1']; ['Cc1ccncn1', 'Cc1ccncn1']; [0.990017, 0.990017]
-CNC(=O)c1c(F)cccc1-c1ccncn1; [None]; [None]; [0]
-CC1(c2ccncn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cc(-c2ccncn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccncn2)C1; [None]; [None]; [0]
-c1cc(-c2cnc3[nH]ccc3c2)ncn1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Clc1ccncn1']; [0.999986053]
-C[C@H](Nc1ccncn1)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Clc1ccncn1']; [0.984897912]
-OCc1ccn(-c2ccncn2)n1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccncn2)CC1; [None]; [None]; [0]
-C[C@H](Nc1ccncn1)C(C)(C)O; [None]; [None]; [0]
-c1cc(-c2nc[nH]n2)ncn1; [None]; [None]; [0]
-OCCc1cn(-c2ccncn2)cn1; [None]; [None]; [0]
-c1cc(-c2ccc(-n3cncn3)cc2)ncn1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccncn1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccncn1; [None]; [None]; [0]
-C[C@@H](Nc1ccncn1)C(C)(C)O; [None]; [None]; [0]
-Cn1cnnc1-c1ccncn1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccncn1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccncn2)[nH]1; [None]; [None]; [0]
-C[C@@H](Nc1ccncn1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Clc1ccncn1']; [0.984897912]
-O=C(CCc1ccncn1)NCc1ccccn1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccncn1; [None]; [None]; [0]
-CCc1cc(-c2ccncn2)nc(N)n1; [None]; [None]; [0]
-c1cc(-c2nncn2C2CC2)ncn1; [None]; [None]; [0]
-CCCCc1cc(-c2ccncn2)nc(N)n1; [None]; [None]; [0]
-c1cc(-c2csc(N3CCOCC3)n2)ncn1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccncn3)nn2)cc1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccncn1; [None]; [None]; [0]
-Cn1cc(-c2ccncn2)c(=O)n1C; [None]; [None]; [0]
-c1cc(-c2cnccc2N2CCOCC2)ncn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccncn2)s1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ccncn2)CC1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccncn2)[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccncn1; [None]; [None]; [0]
-c1cc(-c2ncc3cc[nH]c3n2)ncn1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccccc3)cnn12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c([C@@H]3C[C@H](O)C3)cnn12; [None]; [None]; [0]
-CN(C)c1cc(-c2ccncn2)cnn1; [None]; [None]; [0]
-COC(C)(C)CCc1cnn2c(N)ccnc12; [None]; [None]; [0]
-CCOc1ccccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cnn3c(N)ccnc23)[nH]1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccnc4ccccc34)cnn12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(Cc3cc(F)cc(F)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(C(F)(F)F)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc[nH]n3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(C3CCOCC3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccccc3F)cnn12; [None]; [None]; [0]
-Cc1cccc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccnc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccccc3Br)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccccc3Cl)cnn12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccccc3C(=O)[O-])cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccccc3OC(F)(F)F)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnc(-c4ccccc4)[nH]3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3c(F)cccc3F)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnn(CCO)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnn(Cc4ccccc4)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c([C@@H](N)c3ccco3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(C3CCCCC3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(NC(=O)c4ccccc4)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccncn3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc4c(c3)CCC4)cnn12; [None]; [None]; [0]
-COc1cnc(-c2cnn3c(N)ccnc23)nc1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cnn3c(N)ccnc23)cs1; [None]; [None]; [0]
-CC(C)C(=O)COc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c([C@@H]3CC[C@@H](CO)OC3)cnn12; [None]; [None]; [0]
-Cc1ccc(-c2cnn3c(N)ccnc23)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnc4ccccn34)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(CC3CCCCC3)cnn12; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnco3)cnn12; [None]; [None]; [0]
-CNc1nc(C)c(-c2cnn3c(N)ccnc23)s1; [None]; [None]; [0]
-CC(C)(C)Nc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3c(Cl)cccc3Cl)cnn12; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnn3c(N)ccnc23)s1; [None]; [None]; [0]
-Nc1ccnc2c(OC3CCCCC3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnc4cccnn34)cnn12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(Cn4cncn4)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(NCc3cccnc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(Cl)c3Cl)cnn12; [None]; [None]; [0]
-Cc1ncc(-c2cnn3c(N)ccnc23)[nH]1; [None]; [None]; [0]
-CCC(C)(C)c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1nccc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
-COc1cccc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(Cl)s3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc4ccccc4c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(Nc3cccnc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-n3cnc4ccccc43)cnn12; [None]; [None]; [0]
-C[C@H](CO)Nc1cnn2c(N)ccnc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(NCCc3c[nH]cn3)cnn12; [None]; [None]; [0]
-CC(C)COc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(NC(=O)c3cccs3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(CC(=O)[O-])c3)cnn12; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cnn2c(N)ccnc12; [None]; [None]; [0]
-CCCCc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cncc4ccccc34)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(NCCc3ccccc3)cnn12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cnn4c(N)ccnc34)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cnn4c(N)ccnc34)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnn4c(N)ccnc34)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(CCC[NH3+])cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(O)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(CO)c3)cnn12; [None]; [None]; [0]
-Cn1cncc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(Nc3ccncc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c([C@@H]3CCC[C@H]([NH3+])C3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccco3)cnn12; [None]; [None]; [0]
-Cn1cc(-c2cnn3c(N)ccnc23)cn1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccs3)cnn12; [None]; [None]; [0]
-CC(C)Nc1cnn2c(N)ccnc12; [None]; [None]; [0]
-CC(C)c1oncc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CSc1nc(-c2cnn3c(N)ccnc23)c[nH]1; [None]; [None]; [0]
-Nc1ccnc2c(-c3csc4ncncc34)cnn12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cnn4c(N)ccnc34)cc2s1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(F)cc3C(F)(F)F)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(OC(F)(F)F)cnn12; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-Cn1cc(-c2cnn3c(N)ccnc23)c2ccccc21; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-COc1ccc(-c2cnn3c(N)ccnc23)cc1Cl; [None]; [None]; [0]
-CCC(=O)Nc1cnn2c(N)ccnc12; [None]; [None]; [0]
-C[C@H](c1cnn2c(N)ccnc12)C(F)(F)F; [None]; [None]; [0]
-Cc1cc(-c2cnn3c(N)ccnc23)no1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnoc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnn4ccccc34)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc[nH]c(=O)c3)cnn12; [None]; [None]; [0]
-CCCn1cc(-c2cnn3c(N)ccnc23)cn1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccn([C@@H2]CO)c(=O)c3)cnn12; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc4c3C(=O)CC4)cnn12; [None]; [None]; [0]
-COc1cc(CCc2cnn3c(N)ccnc23)cc(OC)c1; [None]; [None]; [0]
-CCOC(=O)Cc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(Cl)c(C(=O)[O-])c3)cnn12; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-CCN(CC)c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc4c(=O)[nH]ccc4o3)cnn12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(Nc3cnc4ccccc4c3)cnn12; [None]; [None]; [0]
-COc1ccncc1Nc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3c[nH]c4ccccc34)cnn12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3c[nH]c4cnccc34)cnn12; [None]; [None]; [0]
-CC1(c2cnn3c(N)ccnc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnc4[nH]ccc4c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c([C@H](CO)Cc3ccccc3)cnn12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cnn3c(N)ccnc23)C1; [None]; [None]; [0]
-Nc1ccnc2c([C@@H]3CC[C@@H](NC(=O)O)C3)cnn12; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cnn2c(N)ccnc12; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(N4CCOCC4)cc3)cnn12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-n3ccc(CO)n3)cnn12; [None]; [None]; [0]
-Cc1cc(-c2cnn3c(N)ccnc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-C[C@H](Nc1cnn2c(N)ccnc12)C(C)(C)C; [None]; [None]; [0]
-Nc1ccnc2c(-n3cnc(CCO)c3)cnn12; [None]; [None]; [0]
-C[C@H](Nc1cnn2c(N)ccnc12)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-C[C@@H](Nc1cnn2c(N)ccnc12)C(C)(C)O; [None]; [None]; [0]
-Nc1ccnc2c(-c3nc[nH]n3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-n3ncc4c(O)cccc43)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-n3ncc4ccccc43)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(-n4cncn4)cc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccnc3O)cnn12; [None]; [None]; [0]
-CSc1nc(C)c(-c2cnn3c(N)ccnc23)[nH]1; [None]; [None]; [0]
-Nc1ccnc2c(-c3nc4ccc(O)cc4[nH]3)cnn12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-COc1ccc(-c2cnn3c(N)ccnc23)c(OC)c1; [None]; [None]; [0]
-Nc1ccnc2c(Cc3ccncc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(C(=O)c4ccccc4)cc3)cnn12; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cnn2c(N)ccnc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3nncn3C3CC3)cnn12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Cn1cnnc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-n3ccnc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(OC3CCOCC3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(CCC(=O)NCc3ccccn3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cn(Cc4ccccc4)nn3)cnn12; [None]; [None]; [0]
-CCc1cc(-c2cnn3c(N)ccnc23)nc(N)n1; [None]; [None]; [0]
-C[C@@H](Nc1cnn2c(N)ccnc12)C(C)(C)C; [None]; [None]; [0]
-Nc1ncc(-c2cnn3c(N)ccnc23)s1; [None]; [None]; [0]
-Nc1nnc(-c2cnn3c(N)ccnc23)s1; [None]; [None]; [0]
-Nc1ccnc2c(-c3csc(N4CCOCC4)n3)cnn12; [None]; [None]; [0]
-CCCCc1cc(-c2cnn3c(N)ccnc23)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnn3c(N)ccnc23)s1; [None]; [None]; [0]
-Cc1cncc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3nc4ccccc4s3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc4ccsc34)cnn12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cnn3c(N)ccnc23)[nH]1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Cn1cc(-c2cnn3c(N)ccnc23)c(=O)n1C; [None]; [None]; [0]
-Nc1ccnc2c(-c3ncc4ccccc4n3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(CC3CCOCC3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3c[nH]c4cccnc34)cnn12; [None]; [None]; [0]
-Nc1nc(-c2cnn3c(N)ccnc23)nc2ccccc12; [None]; [None]; [0]
-Nc1ccnc2c(O[C@@H]3CC[C@H](O)CC3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ncc4cc[nH]c4n3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnccc3N3CCOCC3)cnn12; [None]; [None]; [0]
-CC(C)(C)Oc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(Cc3cccnc3)cnn12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CC(C)(C)CNc1cnn2c(N)ccnc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cnn2c(N)ccnc12; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-Nc1ccnc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)cnn12; [None]; [None]; [0]
-CN(C)c1cc(-c2cnn3c(N)ccnc23)cnn1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-COc1ncccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cnn4c(N)ccnc34)CC2)c1; [None]; [None]; [0]
-Cn1nncc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-COc1cc(-c2cnn3c(N)ccnc23)cc(OC)c1OC; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-COc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(NC(=O)C4CC4)c3)cnn12; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnn3c(N)ccnc23)cn1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(C(=O)[O-])cc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(Nc3ncccn3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3nc4ccccc4[nH]3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(C(=O)Nc4ccccc4)cc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(F)c3)cnn12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(Cl)cc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(OCCO)cc3)cnn12; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(Cc3nccc4ccccc34)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(C(=O)N4CCOCC4)cc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(CCCO)cnn12; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(C(=O)N4CCOCC4)cn3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(C4CCNCC4)c3)cnn12; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Cc1cc(-c2cnn3c(N)ccnc23)nn1C; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(C(F)(F)F)cc3)cnn12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnc(Cl)nc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c([C@H]3CCN(C(=O)c4ccccc4)C3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cncnc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(Br)cc3)cnn12; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cn[nH]c3)cnn12; [None]; [None]; [0]
-Cc1cc(-c2cnn3c(N)ccnc23)sn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnn3c(N)ccnc23)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnn3c(N)ccnc23)cc1Cl; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc[nH]3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc4c(c3)CCO4)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc4ccccc4cn3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc(N4CCOCC4)ccn3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc(-c4ccccc4)[nH]n3)cnn12; [None]; [None]; [0]
-COc1cc(-c2cnn3c(N)ccnc23)ccc1O; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc4c3OCO4)cnn12; [None]; [None]; [0]
-Nc1ccnc2c([C@@H]3CC[C@@H]([NH3+])CC3)cnn12; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cnn4c(N)ccnc34)CC2)c1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(F)c(F)c3)cnn12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-c3scc4c3OCCO4)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnc4ccccc4c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccnc3Oc3ccccc3)cnn12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnn3c(N)ccnc23)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-COCCc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Cc1cc(-c2cnn3c(N)ccnc23)nc(N)n1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CSc1cccc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnn4c(N)ccnc34)cc2)CC1; [None]; [None]; [0]
-Nc1ccnc2c([C@@H]3CC[C@@H](O)CC3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(F)cc3Cl)cnn12; [None]; [None]; [0]
-CC[C@@H](CO)c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c([C@H]3CC[C@@H](O)C3)cnn12; [None]; [None]; [0]
-COc1ccc(-c2cnn3c(N)ccnc23)cc1OC; [None]; [None]; [0]
-Nc1ccnc2c(-c3ncc(Br)cn3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(Cl)cc3Cl)cnn12; [None]; [None]; [0]
-CCc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccsc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ncc4cccn4n3)cnn12; [None]; [None]; [0]
-COc1cc(-c2cnn3c(N)ccnc23)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc4ccccn4n3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(N4CCCCC4)cc3)cnn12; [None]; [None]; [0]
-Cn1cc(-c2cnn3c(N)ccnc23)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cnn4c(N)ccnc34)ccc2O1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc4ccc(O)cc34)cnn12; [None]; [None]; [0]
-COc1ccc2cccc(-c3cnn4c(N)ccnc34)c2c1; [None]; [None]; [0]
-COc1cc(-c2cnn3c(N)ccnc23)ccc1Cl; [None]; [None]; [0]
-COc1cc(F)c(-c2cnn3c(N)ccnc23)cc1OC; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(-n4nccn4)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ncc(Cl)cn3)cnn12; [None]; [None]; [0]
-Cc1csc2c(-c3cnn4c(N)ccnc34)ncnc12; [None]; [None]; [0]
-Cc1ccc(-c2cnn3c(N)ccnc23)o1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-COc1cc(-c2cnn3c(N)ccnc23)c(OC)cc1Br; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc(F)cc4c3OCOC4)cnn12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc4cn[nH]c4c3)cnn12; [None]; [None]; [0]
-COc1ccc2oc(-c3cnn4c(N)ccnc34)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc(-c4cccnc4)ccn3)cnn12; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc4ccccc4o3)cnn12; [None]; [None]; [0]
-Cc1nc(-c2cnn3c(N)ccnc23)c2sccc2n1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ncc4sccc4n3)cnn12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ncc4cc(Cl)ccc4n3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(NC(=O)N4CCCC4)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cscn3)cnn12; [None]; [None]; [0]
-COc1ccc2nc(-c3cnn4c(N)ccnc34)[nH]c2c1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(OC(F)(F)F)cc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(C(=O)[O-])c(Cl)c3)cnn12; [None]; [None]; [0]
-CCc1cccc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnn3c(N)ccnc23)cn1; [None]; [None]; [0]
-Cc1ccc(-c2cnn3c(N)ccnc23)nc1C; [None]; [None]; [0]
-Cc1cc(-c2cnn3c(N)ccnc23)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnn4c(N)ccnc34)ccc12; [None]; [None]; [0]
-Nc1ccnc2c(C3CCC(F)(F)CC3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(N4CCCC4=O)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(C3CCS(=O)(=O)CC3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(CCO)cc3)cnn12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnn3c(N)ccnc23)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnn3c(N)ccnc23)c(OC)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(O)cc3)cnn12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccncc3)cnn12; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3n[nH]c4ccccc34)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc4ncccc34)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(Cl)c(O)c3)cnn12; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Cc1ccccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Cn1c(-c2cnn3c(N)ccnc23)nc2ccccc21; [None]; [None]; [0]
-Nc1ccnc2c(Oc3ccc(F)cc3)cnn12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnn3c(N)ccnc23)c(F)c1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cn[nH]c3Cl)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(O)cc3Cl)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc[nH]c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnccn3)cnn12; [None]; [None]; [0]
-N#Cc1cnc(-c2cnn3c(N)ccnc23)cn1; [None]; [None]; [0]
-COc1cc(CCc2cnn3c(N)ccnc23)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnn3c(N)ccnc23)o1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccoc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc(Br)c3)cnn12; [None]; [None]; [0]
-N#Cc1ccc(-c2cnn3c(N)ccnc23)cn1; [None]; [None]; [0]
-Nc1ccnc2c(-n3ccc(CC(=O)[O-])c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(COc3cccc(Cl)c3)cnn12; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-Nc1ccnc2c([C@H](CO)c3ccccc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(COc3ccccc3Cl)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(O)cc3O)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(CCc3ccc(Cl)cc3)cnn12; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(F)c(Cl)c3)cnn12; [None]; [None]; [0]
-Cc1ccc(-c2cnn3c(N)ccnc23)cc1C; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3c(Cl)ccc4c3OCO4)cnn12; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnn3c(N)ccnc23)c[nH]1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc(O)ccc3Cl)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(Cn3ccccc3=O)cnn12; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnn4c(N)ccnc34)cc2[nH]1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnc(O)c(Cl)c3)cnn12; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnn4c(N)ccnc34)ccc12; [None]; [None]; [0]
-COCCCc1cnn2c(N)ccnc12; [None]; [None]; [0]
-Cc1nnc(-c2cnn3c(N)ccnc23)o1; [None]; [None]; [0]
-Nc1ccnc2c(-c3nnco3)cnn12; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cncc(O)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc4c(c3)CC(=O)N4)cnn12; [None]; [None]; [0]
-CNc1nccc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ncc(F)cn3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(Br)o3)cnn12; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc(Cl)c(O)c(Cl)c3)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cnn3c(N)ccnc23)[nH]n1; [None]; [None]; [0]
-CCc1sccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3nccs3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc4c(c3)CCN4)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cnn3c(N)ccnc23)n[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc4[nH]c(=O)[nH]c4c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3nncs3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(Br)cc3F)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3[nH]nc4ccc(F)cc34)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cccc([O-])c3)cnn12; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnn3c(N)ccnc23)c1C; [None]; [None]; [0]
-Cc1ccc(-c2cnn3c(N)ccnc23)c(C)n1; [None]; [None]; [0]
-Cc1csc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
-Cc1cc(-c2cnn3c(N)ccnc23)ccc1C(N)=O; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc(O)cc(Br)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc(C(=O)NC4CC4)cc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccc4c(=O)[nH][nH]c4c3)cnn12; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnn4c(N)ccnc34)cc2o1; [None]; [None]; [0]
-Nc1ccnc2c(-c3cc(F)c(O)c(F)c3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3[nH]cnc3-c3ccc(F)cc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(OCc3cccc4ccccc34)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(CCc3c[nH]c4ccccc34)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(OCc3ccccc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(Oc3ccccc3F)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(OCc3ccc(F)cc3F)cnn12; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(Oc3ccc(F)cc3F)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(NCc3c(F)cccc3Cl)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(-c3cn[nH]c3-c3ccc(Cl)cc3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(Cc3ccc(F)cc3)cnn12; [None]; [None]; [0]
-c1ccc(-c2ncnc3[nH]cnc23)cc1; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccccc1']; [0.995017111]
-Nc1ccnc2c(CCc3ccc(F)cc3F)cnn12; [None]; [None]; [0]
-COC(C)(C)CCc1ncnc2[nH]cnc12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-CCOc1ccccc1-c1ncnc2[nH]cnc12; ['CCOc1ccccc1B(O)O']; ['Clc1ncnc2[nH]cnc12']; [0.996375382]
-O[C@H]1C[C@@H](c2ncnc3[nH]cnc23)C1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ncnc3[nH]cnc23)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ncnc2[nH]cnc12; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
-c1ccc2c(-c3ncnc4[nH]cnc34)ccnc2c1; [None]; [None]; [0]
-c1nc(-c2cc[nH]n2)c2nc[nH]c2n1; [None]; [None]; [0]
-Cc1cccc(-c2ncnc3[nH]cnc23)c1; ['Cc1cccc(B(O)O)c1']; ['Clc1ncnc2[nH]cnc12']; [0.989563167]
-FC(F)(F)c1cccc(-c2ncnc3[nH]cnc23)c1; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.998625875]
-c1nc(C2CCOCC2)c2nc[nH]c2n1; [None]; [None]; [0]
-c1cncc(-c2ncnc3[nH]cnc23)c1; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1cccnc1']; [0.998064816]
-Fc1ccccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-Brc1ccccc1-c1ncnc2[nH]cnc12; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccccc1Br']; [0.959349096]
-N#Cc1ccccc1-c1ncnc2[nH]cnc12; ['Clc1ncnc2[nH]cnc12']; ['N#Cc1ccccc1B(O)O']; [0.995158136]
-Clc1ccccc1-c1ncnc2[nH]cnc12; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccccc1Cl']; [0.991471827]
-O=C([O-])c1ccccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1ncnc2[nH]cnc12; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.997779071]
-Fc1cccc(F)c1-c1ncnc2[nH]cnc12; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1c(F)cccc1F']; [0.98984921]
-NC(=O)c1ccccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ncnc4[nH]cnc34)cn2)cc1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ncnc4[nH]cnc34)[nH]2)cc1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1cc(-c2ncnc3[nH]cnc23)ncn1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncnc3[nH]cnc23)c1)c1ccccc1; [None]; [None]; [0]
-OCCn1cc(-c2ncnc3[nH]cnc23)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Clc1ncnc2[nH]cnc12']; [0.992225051]
-CC(C)(C)c1nc(-c2ncnc3[nH]cnc23)cs1; [None]; [None]; [0]
-c1nc(-c2ccc3c(c2)CCC3)c2nc[nH]c2n1; [None]; [None]; [0]
-c1nc(C2CCCCC2)c2nc[nH]c2n1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ncnc3[nH]cnc23)CO1; [None]; [None]; [0]
-COc1cnc(-c2ncnc3[nH]cnc23)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1nc(CC2CCCCC2)c2nc[nH]c2n1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1nc(-c2cnco2)c2nc[nH]c2n1; [None]; [None]; [0]
-Cc1ccc(-c2ncnc3[nH]cnc23)c(Br)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ncnc3[nH]cnc23)s1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ncnc3[nH]cnc23)s1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ncnc2[nH]cnc12; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.852581382]
-c1ccn2c(-c3ncnc4[nH]cnc34)cnc2c1; [None]; [None]; [0]
-c1cnn2c(-c3ncnc4[nH]cnc34)cnc2c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1nc(OC2CCCCC2)c2nc[nH]c2n1; ['Clc1ncnc2[nH]cnc12']; ['OC1CCCCC1']; [0.996244729]
-CC(C)(C)Nc1ncnc2[nH]cnc12; ['CC(C)(C)N', 'Brc1ncnc2nc[nH]c12']; ['Clc1ncnc2[nH]cnc12', 'CC(C)(C)N']; [0.999649525, 0.999649525]
-c1cncc(CNc2ncnc3[nH]cnc23)c1; ['Clc1ncnc2nc[nH]c12', 'Clc1ncnc2[nH]cnc12', 'Brc1ncnc2nc[nH]c12']; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; [0.999990106, 0.999990106, 0.999990106]
-Cc1ccc(Cl)c(-c2ncnc3[nH]cnc23)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1ncnc2[nH]cnc12']; [0.970230281]
-c1cc(Cn2cncn2)cc(-c2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
-Clc1cccc(-c2ncnc3[nH]cnc23)c1Cl; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1cccc(Cl)c1Cl']; [0.994707704]
-CCC(C)(C)c1ncnc2[nH]cnc12; [None]; [None]; [0]
-Cc1ncc(-c2ncnc3[nH]cnc23)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2ncnc3[nH]cnc23)n1; [None]; [None]; [0]
-c1ccc2cc(-c3ncnc4[nH]cnc34)ccc2c1; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccc2ccccc2c1']; [0.999323249]
-COc1cccc(-c2ncnc3[nH]cnc23)c1; ['COc1cccc(B(O)O)c1']; ['Clc1ncnc2[nH]cnc12']; [0.998577476]
-Clc1ccc(-c2ncnc3[nH]cnc23)s1; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccc(Cl)s1']; [0.995245159]
-C[C@H](CO)Nc1ncnc2[nH]cnc12; ['C[C@@H](N)CO']; ['Clc1ncnc2[nH]cnc12']; [0.999485135]
-c1cncc(Nc2ncnc3[nH]cnc23)c1; ['Clc1ncnc2[nH]cnc12']; ['Nc1cccnc1']; [0.987539053]
-c1nc(NCCc2c[nH]cn2)c2nc[nH]c2n1; ['Clc1ncnc2[nH]cnc12', 'Clc1ncnc2nc[nH]c12']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.99883908, 0.99883908]
-CC(C)COc1ncnc2[nH]cnc12; [None]; [None]; [0]
-O=C(Nc1ncnc2[nH]cnc12)c1cccs1; ['Clc1ncnc2[nH]cnc12']; ['NC(=O)c1cccs1']; [0.997631073]
-C[C@@H](O)[C@@H](C)Oc1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1ccc2c(c1)ncn2-c1ncnc2[nH]cnc12; ['Clc1ncnc2[nH]cnc12']; ['c1ccc2[nH]cnc2c1']; [0.999691]
-CCCCc1ncnc2[nH]cnc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1ccc2c(-c3ncnc4[nH]cnc34)cncc2c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ncnc4[nH]cnc34)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ncnc4[nH]cnc34)cc2)cn1; [None]; [None]; [0]
-c1ccc(CCNc2ncnc3[nH]cnc23)cc1; ['Clc1ncnc2[nH]cnc12']; ['NCCc1ccccc1']; [0.998804212]
-C[C@@H](C[NH+](C)C)Oc1ncnc2[nH]cnc12; [None]; [None]; [0]
-CCCn1cnc(-c2ncnc3[nH]cnc23)n1; [None]; [None]; [0]
-Oc1cccc(-c2ncnc3[nH]cnc23)c1; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1cccc(O)c1']; [0.993160129]
-Cn1ncc2cc(-c3ncnc4[nH]cnc34)ccc21; ['Clc1ncnc2[nH]cnc12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999933]
-OCc1cccc(-c2ncnc3[nH]cnc23)c1; ['Clc1ncnc2[nH]cnc12']; ['OCc1cccc(B(O)O)c1']; [0.986655951]
-[NH3+]CCCc1ncnc2[nH]cnc12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ncnc3[nH]cnc23)C1; [None]; [None]; [0]
-c1cc(Nc2ncnc3[nH]cnc23)ccn1; [None]; [None]; [0]
-Cn1cc(-c2ncnc3[nH]cnc23)cn1; ['Clc1ncnc2[nH]cnc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.998922646]
-c1csc(-c2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
-Cn1cncc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-CC(C)Nc1ncnc2[nH]cnc12; ['CC(C)N', 'Brc1ncnc2nc[nH]c12']; ['Clc1ncnc2nc[nH]c12', 'CC(C)N']; [0.999509573, 0.999509573]
-CSc1nc(-c2ncnc3[nH]cnc23)c[nH]1; [None]; [None]; [0]
-c1coc(-c2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
-c1nc(-c2csc3ncncc23)c2nc[nH]c2n1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ncnc4[nH]cnc34)cc2s1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncnc3[nH]cnc23)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ncnc3[nH]cnc23)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1ncnc2[nH]cnc12']; [0.997745454]
-N#CCCc1cccc(-c2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
-FC(F)(F)Oc1ncnc2[nH]cnc12; [None]; [None]; [0]
-Fc1ccc(-c2ncnc3[nH]cnc23)c(C(F)(F)F)c1; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.99769336]
-CS(=O)(=O)C1CCN(c2ncnc3[nH]cnc23)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1ncnc2[nH]cnc12']; [0.998577714]
-COc1ccc(-c2ncnc3[nH]cnc23)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Clc1ncnc2[nH]cnc12']; [0.998618603]
-C[C@H](c1ncnc2[nH]cnc12)C(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2ncnc3[nH]cnc23)c2ccccc21; [None]; [None]; [0]
-CCC(=O)Nc1ncnc2[nH]cnc12; ['CCC(=O)Cl']; ['Nc1ncnc2[nH]cnc12']; [0.89529413]
-c1ccn2ncc(-c3ncnc4[nH]cnc34)c2c1; [None]; [None]; [0]
-CCCn1cc(-c2ncnc3[nH]cnc23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Clc1ncnc2[nH]cnc12']; [0.998403251]
-Cc1cc(-c2ncnc3[nH]cnc23)no1; [None]; [None]; [0]
-c1nc(-c2cnoc2)c2nc[nH]c2n1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ncnc4[nH]cnc34)c21; [None]; [None]; [0]
-O=c1cc(-c2ncnc3[nH]cnc23)cc[nH]1; [None]; [None]; [0]
-O=c1cc(-c2ncnc3[nH]cnc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ncnc2[nH]cnc12; ['CC(C)(C)NC(N)=O']; ['Clc1ncnc2[nH]cnc12']; [0.996225476]
-COc1cc(CCc2ncnc3[nH]cnc23)cc(OC)c1; [None]; [None]; [0]
-CCOC(=O)Cc1ncnc2[nH]cnc12; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ncnc3[nH]cnc23)cc1; [None]; [None]; [0]
-CCN(CC)c1ncnc2[nH]cnc12; ['CCNCC', 'CCNCC']; ['Clc1ncnc2nc[nH]c12', 'Clc1ncnc2[nH]cnc12']; [0.989181, 0.989181]
-C[S@](=O)c1ccc(-c2ncnc3[nH]cnc23)cc1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ncnc3[nH]cnc23)ccc1Cl; [None]; [None]; [0]
-COc1ccncc1Nc1ncnc2[nH]cnc12; ['COc1ccncc1N']; ['Clc1ncnc2[nH]cnc12']; [0.999921083]
-c1ccc2c(-c3ncnc4[nH]cnc34)c[nH]c2c1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3ncnc4[nH]cnc34)cc12; [None]; [None]; [0]
-c1ccc2ncc(Nc3ncnc4[nH]cnc34)cc2c1; ['Clc1ncnc2[nH]cnc12']; ['Nc1cnc2ccccc2c1']; [0.999227524]
-c1cc2c(-c3ncnc4[nH]cnc34)c[nH]c2cn1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-CC1(c2ncnc3[nH]cnc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1nc(-c2cnc3[nH]ccc3c2)c2nc[nH]c2n1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ncnc3[nH]cnc23)C1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ncnc3[nH]cnc23)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ncnc3[nH]cnc23)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ncnc3[nH]cnc23)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ncnc3[nH]cnc23)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ncnc2[nH]cnc12; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnc3[nH]cnc23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ncnc2[nH]cnc12']; [0.999479949]
-CS(=O)(=O)c1ccc(-c2ncnc3[nH]cnc23)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ncnc2[nH]cnc12']; [0.997580647]
-c1nc(-c2ccc(N3CCOCC3)cc2)c2nc[nH]c2n1; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999917865]
-CNS(=O)(=O)c1ccc(-c2ncnc3[nH]cnc23)cc1; [None]; [None]; [0]
-OCc1ccn(-c2ncnc3[nH]cnc23)n1; [None]; [None]; [0]
-OCCc1cn(-c2ncnc3[nH]cnc23)cn1; [None]; [None]; [0]
-Cc1cc(-c2ncnc3[nH]cnc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ncnc2[nH]cnc12)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Clc1ncnc2[nH]cnc12']; [0.999172747]
-C[C@H](Nc1ncnc2[nH]cnc12)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ncnc2[nH]cnc12)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1nc(-c2nc[nH]n2)c2nc[nH]c2n1; [None]; [None]; [0]
-Oc1ncccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-Oc1ccc2nc(-c3ncnc4[nH]cnc34)[nH]c2c1; [None]; [None]; [0]
-c1nc(-c2ccc(-n3cncn3)cc2)c2nc[nH]c2n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ncnc3[nH]cnc23)[nH]1; [None]; [None]; [0]
-c1cc(Cc2ncnc3[nH]cnc23)ccn1; [None]; [None]; [0]
-COc1ccc(-c2ncnc3[nH]cnc23)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Clc1ncnc2[nH]cnc12']; [0.999452174]
-Cc1nc[nH]c1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ncnc3[nH]cnc23)cc1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-Cn1cnnc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1nc(-c2nncn2C2CC2)c2nc[nH]c2n1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1nc(OC2CCOCC2)c2nc[nH]c2n1; ['Clc1ncnc2[nH]cnc12']; ['OC1CCOCC1']; [0.999178946]
-c1cn(-c2ncnc3[nH]cnc23)cn1; ['Clc1ncnc2[nH]cnc12']; ['c1c[nH]cn1']; [0.993707538]
-C[C@H](CO)n1cnnc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-CCc1cc(-c2ncnc3[nH]cnc23)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ncnc4[nH]cnc34)nn2)cc1; [None]; [None]; [0]
-O=C(CCc1ncnc2[nH]cnc12)NCc1ccccn1; [None]; [None]; [0]
-Nc1ncc(-c2ncnc3[nH]cnc23)s1; [None]; [None]; [0]
-C[C@@H](Nc1ncnc2[nH]cnc12)C(C)(C)C; [None]; [None]; [0]
-Nc1nnc(-c2ncnc3[nH]cnc23)s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncnc3[nH]cnc23)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ncnc3[nH]cnc23)nc(N)n1; [None]; [None]; [0]
-c1nc(-c2csc(N3CCOCC3)n2)c2nc[nH]c2n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ncnc2[nH]cnc12; ['COc1cccc(F)c1B(O)O']; ['Clc1ncnc2[nH]cnc12']; [0.991877437]
-Cc1cncc(-c2ncnc3[nH]cnc23)n1; [None]; [None]; [0]
-c1ccc2sc(-c3ncnc4[nH]cnc34)nc2c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1cc(-c2ncnc3[nH]cnc23)c2sccc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ncnc3[nH]cnc23)[nH]1; [None]; [None]; [0]
-c1nc(CC2CCOCC2)c2nc[nH]c2n1; [None]; [None]; [0]
-Cn1cc(-c2ncnc3[nH]cnc23)c(=O)n1C; [None]; [None]; [0]
-c1ccc2nc(-c3ncnc4[nH]cnc34)ncc2c1; [None]; [None]; [0]
-Nc1nc(-c2ncnc3[nH]cnc23)nc2ccccc12; [None]; [None]; [0]
-c1nc(-c2ncc3cc[nH]c3n2)c2nc[nH]c2n1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2ncnc3[nH]cnc23)cn1; [None]; [None]; [0]
-c1cnc2c(-c3ncnc4[nH]cnc34)c[nH]c2c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ncnc3[nH]cnc23)CC1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-c1cncc(Cc2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ncnc2[nH]cnc12; [None]; [None]; [0]
-CC(C)(C)Oc1ncnc2[nH]cnc12; [None]; [None]; [0]
-CC(C)(C)CNc1ncnc2[nH]cnc12; ['CC(C)(C)CN']; ['Clc1ncnc2[nH]cnc12']; [0.998071]
-C[C@@]1(O)CC[C@H](c2ncnc3[nH]cnc23)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ncnc3[nH]cnc23)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Clc1ncnc2[nH]cnc12']; [0.975958705]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ncnc3[nH]cnc23)C1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Clc1ncnc2[nH]cnc12']; [0.999881387]
-COc1ccc(OC)c(-c2ncnc3[nH]cnc23)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Clc1ncnc2[nH]cnc12']; [0.977064312]
-c1ccc2[nH]c(C3CCN(c4ncnc5[nH]cnc45)CC3)nc2c1; ['Clc1ncnc2[nH]cnc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999603808]
-Cc1ccc(-c2ncc3ccccc3n2)o1; ['Cc1ccc(B(O)O)o1']; ['Clc1ncc2ccccc2n1']; [0.998638809]
-CN(C)c1cc(-c2ncnc3[nH]cnc23)cnn1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(N3CCOCC3)cc2)o1; ['Brc1ccc(N2CCOCC2)cc1']; ['Cc1ccc(B(O)O)o1']; [0.999813378]
-COc1cccc(N2CCC(c3ccc(C)o3)CC2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ccc(C)o2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['Cc1ccc(B(O)O)o1']; [0.974826157]
-Cc1ccc(-n2ncc3ccccc3c2=O)o1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(NC(=O)C3CC3)c2)o1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc(C)o3)c2c1; [None]; [None]; [0]
-Cc1ccc(-c2ccccc2)o1; ['Cc1ccco1', 'Cc1ccco1']; ['Ic1ccccc1', 'O=C(O)c1ccccc1']; [0.979225, 0.979225]
-CC(=O)NCc1ccc(-c2ccc(C)o2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(=O)[O-])cc2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(NS(C)(=O)=O)nc2)o1; [None]; [None]; [0]
-Cc1ccc(Cc2ccccc2)o1; ['Cc1ccco1']; ['ClCc1ccccc1']; [0.997568905]
-Cc1ccc(-c2ccc(C(=O)N3CCOCC3)cc2)o1; ['Cc1ccc(Br)o1', 'Cc1ccc(B(O)O)o1']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.999993324, 0.999993324]
-Cc1ccc(-c2ccc(C(=O)N3CCOCC3)cn2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(OC[C@@H](C)O)cc2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(S(=O)(=O)N(C)C)cc2)o1; ['CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Cc1ccc(B(O)O)o1']; [0.996141613]
-CNS(=O)(=O)Cc1ccc(C)o1; [None]; [None]; [0]
-Cc1ccc(Cc2cncnc2)o1; [None]; [None]; [0]
-Cc1ccc(C2CCCCC2)o1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc(C)o2)cc1; ['CCNS(=O)(=O)c1ccc(Br)cc1']; ['Cc1ccc(B(O)O)o1']; [0.992305577]
-Cc1ccc(C2CCN(S(C)(=O)=O)CC2)o1; [None]; [None]; [0]
-Cc1ccc([C@H]2CCN(C(=O)c3ccccc3)C2)o1; [None]; [None]; [0]
-Cc1ccc(Cc2cnc(N)nc2)o1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc(C)o2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N']; ['Cc1ccco1']; [0.98996526]
-Cc1ccc(-c2cccc(C(=O)[O-])c2C)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(N(C)C)c(Cl)c2)o1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C)o2)sn1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N3CCOCC3)ccn2)o1; [None]; [None]; [0]
-Cc1ccc(-c2cc(-c3ccccc3)[nH]n2)o1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc(C)o3)CC2)c1; [None]; [None]; [0]
-Cc1ccc(NC(=O)NC(C)(C)C)o1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CC[C@@H]([NH3+])CC2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(C)(C)C)nc2)o1; [None]; [None]; [0]
-Cc1ccc(-c2cccnc2Oc2ccccc2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(=O)N(C)C)cc2)o1; ['CN(C)C=O']; ['Cc1ccc(-c2ccc(C(=O)O)cc2)o1']; [0.986533284]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc(C)o2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc(C)o3)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Cc1ccco1']; [0.98533684]
-COc1cccc(C(=O)Nc2ccc(C)o2)c1; [None]; [None]; [0]
-CCCCCc1ccc(C)o1; ['C=CCCC']; ['Cc1ccco1']; [0.992380559]
-COc1cc(N2CCOCC2)ccc1-c1ccc(C)o1; [None]; [None]; [0]
-Cc1ccc(-c2ncc3cccn3n2)o1; [None]; [None]; [0]
-Cc1ccc(C2CCOCC2)o1; [None]; [None]; [0]
-CC[NH+](CC)c1ccc(C)o1; [None]; [None]; [0]
-Cc1ccc(CCCn2cncn2)o1; [None]; [None]; [0]
-COc1cc(-c2ccc(C)o2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(c2)CC(C)(C)O3)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(N3CCCCC3)cc2)o1; ['Cc1ccc(Br)o1']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.99999392]
-Cc1ccc(-c2ncnc3c(C)csc23)o1; [None]; [None]; [0]
-Cc1ccc(-c2cc3ccccn3n2)o1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(-n3nccn3)c2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ncc(Cl)cn2)o1; ['Cc1ccc(B(O)O)o1']; ['Clc1cnc(Cl)nc1']; [0.879244864]
-Cc1ccc(Cc2ccc(S(=O)(=O)CCO)cc2)o1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc(C)o2)c1; ['COc1ccc(OC)c(CCl)c1']; ['Cc1ccco1']; [0.995475471]
-Cc1ccc(Cc2ccc(C(N)=O)cc2)o1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc(C)o2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc(C)o2)CC1; [None]; [None]; [0]
-Cc1ccc(NC(=O)c2ccco2)o1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc(C)o3)cc2c1; [None]; [None]; [0]
-Cc1ccc(-c2cc(F)cc3c2OCOC3)o1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc(C)o2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['Cc1ccco1']; [0.808477044]
-Cc1ccc(-c2ccc(C[NH+](C)C)cc2)o1; [None]; [None]; [0]
-Cc1ccc(NC(=O)c2ccc(C(C)(C)C)cc2)o1; [None]; [None]; [0]
-Cc1ccc(-c2cc(-c3cccnc3)ccn2)o1; [None]; [None]; [0]
-Cc1nc(-c2ccc(C)o2)c2sccc2n1; [None]; [None]; [0]
-Cc1ccc(-c2cc(Br)cn2C)o1; [None]; [None]; [0]
-Cc1ccc(-c2ncc3cc(Cl)ccc3n2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ncc3sccc3n2)o1; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc(C)o3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Cc1ccc(CN)o1']; [0.990967]
-Cc1ccc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)o1; ['C[C@H]1CCCN1']; ['Cc1ccc(-c2ccc(C=O)cc2)o1']; [0.994904041]
-Cc1ccc(-c2cn(C)nc2C(C)C)o1; [None]; [None]; [0]
-Cc1ccc(-c2cn(C)c3ccccc23)o1; [None]; [None]; [0]
-Cc1ccc(OC(F)(F)F)o1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(NC(=O)N3CCCC3)c2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(cnn3C)c2)o1; ['Cc1ccc(B(O)O)o1']; ['Cn1ncc2cc(Br)ccc21']; [0.99986279]
-Cc1ccc(-c2cccc(N3CCC[C@@H]3C)n2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(=O)[O-])c(Cl)c2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(N(C)C)nc2)o1; [None]; [None]; [0]
-Cc1ccc(CCC[NH+](C)C)o1; [None]; [None]; [0]
-Cc1ccc(C2CCC(F)(F)CC2)o1; [None]; [None]; [0]
-Cc1ccc(-c2cc(C)c(OCCO)c(C)c2)o1; [None]; [None]; [0]
-Cc1ccc(CC2CCOCC2)o1; ['BrCC1CCOCC1']; ['Cc1ccco1']; [0.963725626]
-Cc1ccc(-c2ccc3c(C)n[nH]c3c2)o1; ['Cc1ccc(B(O)O)o1']; ['Cc1n[nH]c2cc(Br)ccc12']; [0.999818504]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc(C)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(C)o2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['Cc1ccc(B(O)O)o1']; [0.994810939]
-Cc1ccc(C2CCS(=O)(=O)CC2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(=O)N(C)C)cc2Cl)o1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc(C)o2)cc1; ['CCN']; ['Cc1ccc(-c2ccc(C(=O)O)cc2)o1']; [0.995026648]
-Cc1ccc(-c2ccc(N3CCOCC3)cc2C)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccc(C)o2)c1; [None]; [None]; [0]
-Cc1ccc(OCCC[NH+](C)C)o1; [None]; [None]; [0]
-Cc1ccc(-c2cc(C(=O)NCCO)ccc2C)o1; [None]; [None]; [0]
-CCc1ccc(-c2ncc3ccccc3n2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N3CCOCC3)cc2)o1; ['Brc1ccc(N2CCOCC2)cc1']; ['CCc1ccco1']; [0.999976754]
-CCc1ccc(C2CCN(c3cccc(OC)c3)CC2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N(C)C(C)=O)cc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(NC(=O)C3CC3)c2)o1; [None]; [None]; [0]
-CCc1ccc(-n2ncc3ccccc3c2=O)o1; [None]; [None]; [0]
-CCc1ccc(-n2cnc3ccc(C)cc32)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(NS(C)(=O)=O)nc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(CNC(C)=O)cc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccccc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(=O)N3CCOCC3)cc2)o1; [None]; [None]; [0]
-CCc1ccc(Cc2ccccc2)o1; ['BrCc1ccccc1']; ['CCc1ccco1']; [0.90896529]
-CCc1ccc(-c2ccc(OC[C@@H](C)O)cc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(=O)[O-])cc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(S(=O)(=O)N(C)C)cc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(=O)N3CCOCC3)cn2)o1; [None]; [None]; [0]
-CCc1ccc(CS(=O)(=O)NC)o1; [None]; [None]; [0]
-CCc1ccc(C2CCCCC2)o1; [None]; [None]; [0]
-CCc1ccc(Cc2cncnc2)o1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc(CC)o2)cc1; ['CCNS(=O)(=O)c1ccc(Br)cc1']; ['CCc1ccco1']; [0.998264]
-CCc1ccc(Cc2cnc(N)nc2)o1; [None]; [None]; [0]
-CCc1ccc(C2CCN(S(C)(=O)=O)CC2)o1; [None]; [None]; [0]
-CCc1ccc([C@H]2CCN(C(=O)c3ccccc3)C2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(Cl)c(OC)cc2OC)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(C(=O)[O-])c2C)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N(C)C)c(Cl)c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(C)ns2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(-c3ccccc3)[nH]n2)o1; [None]; [None]; [0]
-CCc1ccc(C2CCN(C(=O)c3cccc(OC)c3)CC2)o1; [None]; [None]; [0]
-CCc1ccc([C@@H]2CC[C@@H]([NH3+])CC2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(N3CCOCC3)ccn2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccnc2Oc2ccccc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(C)(C)C)nc2)o1; [None]; [None]; [0]
-CCc1ccc(NC(=O)NC(C)(C)C)o1; [None]; [None]; [0]
-CCc1ccc([C@@H]2CC[C@@H](NC(C)=O)CC2)o1; [None]; [None]; [0]
-CCc1ccc(NC(=O)c2cccc(OC)c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(CN3CCN(CC)CC3)cc2)o1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['CCc1ccco1']; [0.97689712]
-CCc1ccc(-c2ccc(C(=O)N(C)C)cc2)o1; [None]; [None]; [0]
-CCCCCc1ccc(CC)o1; ['CCCCCBr']; ['CCc1ccco1']; [0.977106631]
-CCc1ccc([NH+](CC)CC)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N3CCOCC3)cc2OC)o1; [None]; [None]; [0]
-CCc1ccc(C2CCOCC2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ncc3cccn3n2)o1; [None]; [None]; [0]
-CCc1ccc(CCCn2cncn2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc3ccccn3n2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N3CCOCC3)c(OC)c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N3CCCCC3)cc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ncc(Cl)cn2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc3c(c2)CC(C)(C)O3)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(-n3nccn3)c2)o1; ['CCc1ccco1']; ['Nc1cccc(-n2nccn2)c1']; [0.999343]
-CCc1ccc(Cc2cc(OC)ccc2OC)o1; [None]; [None]; [0]
-CCc1ccc(Cc2ccc(S(=O)(=O)CCO)cc2)o1; [None]; [None]; [0]
-CCc1ccc(NC(=O)c2ccco2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ncnc3c(C)csc23)o1; [None]; [None]; [0]
-CCc1ccc(Cc2ccc(C(N)=O)cc2)o1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc(CC)o2)CC1; [None]; [None]; [0]
-CCc1ccc(-c2cc(F)cc3c2OCOC3)o1; [None]; [None]; [0]
-CCc1ccc([C@@H]2CC[C@@H](OC)CC2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc3cc(OC)ccc3o2)o1; [None]; [None]; [0]
-CCc1ccc([C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C[NH+](C)C)cc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(C(=O)NC)ccc2OC)o1; ['CCc1ccco1']; ['CNC(=O)c1ccc(OC)c(Br)c1']; [0.998547256]
-CCc1ccc(NC(=O)c2ccc(C(C)(C)C)cc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(-c3cccnc3)ccn2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(Br)cn2C)o1; [None]; [None]; [0]
-CCc1ccc(-c2ncc3sccc3n2)o1; [None]; [None]; [0]
-CCc1ccc(-c2nc(C)nc3ccsc23)o1; [None]; [None]; [0]
-CCc1ccc(-c2ncc3cc(Cl)ccc3n2)o1; [None]; [None]; [0]
-CCc1ccc(-c2nc3ccc(OC)cc3[nH]2)o1; ['CCc1ccc(C=O)o1']; ['COc1ccc(N)c(N)c1']; [0.999981284]
-CCc1ccc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cn(C)nc2C(C)C)o1; [None]; [None]; [0]
-CCc1ccc(OC(F)(F)F)o1; [None]; [None]; [0]
-CCc1ccc(-c2cn(C)c3ccccc23)o1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(NC(=O)N3CCCC3)c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc3c(cnn3C)c2)o1; ['CCc1ccco1']; ['Cn1ncc2cc(Br)ccc21']; [0.999646187]
-CCc1ccc(-c2cccc(N3CCC[C@@H]3C)n2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(=O)[O-])c(Cl)c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N(C)C)nc2)o1; [None]; [None]; [0]
-CCc1ccc(CCC[NH+](C)C)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(C)c(OCCO)c(C)c2)o1; [None]; [None]; [0]
-CCc1ccc(C2CCC(F)(F)CC2)o1; [None]; [None]; [0]
-CCc1ccc(C2CCS(=O)(=O)CC2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc3c(C)n[nH]c3c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N3CCC(O)CC3)cc2OC)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(=O)N(C)C)cc2Cl)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(N3CCOCC3)cc2C)o1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc(CC)o2)cc1; [None]; [None]; [0]
-CCc1ccc(CC2CCOCC2)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(C(=O)NCCO)ccc2C)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(=O)NC)cc2OC)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(C(=O)NC)ccc2C)o1; [None]; [None]; [0]
-CCc1ccc(OCCC[NH+](C)C)o1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ncc4ccccc4n3)n2)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccnc(Nc4ccccc4)n3)c2c1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccnc(Nc4ccccc4)n3)CC2)c1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ccccc3)n2)cc1; ['CN(C)C=CC(=O)c1ccccc1']; ['N=C(N)Nc1ccccc1']; [0.999998927]
-O=C(Nc1cccc(-c2ccnc(Nc3ccccc3)n2)c1)C1CC1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ccc(N4CCOCC4)cc3)n2)cc1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
-O=C(c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2ccnc(Nc3ccccc3)n2)nc1)N1CCOCC1; [None]; [None]; [0]
-c1ccc(Cc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
-c1ccc(Nc2nccc(Cc3cncnc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(C3CCCCC3)n2)cc1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2ccnc(Nc3ccccc3)n2)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cc(N4CCOCC4)ccn3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cc(-c4ccccc4)[nH]n3)n2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccnc(Nc3ccccc3)n2)sn1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccnc(Nc4ccccc4)n3)CC2)c1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cccnc3Oc3ccccc3)n2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccnc(Nc4ccccc4)n3)cc2)CC1; [None]; [None]; [0]
-CCCCCc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(C3CCOCC3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ncc4cccn4n3)n2)cc1; [None]; [None]; [0]
-CC[NH+](CC)c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-c1ccc(Nc2nccc(CCCn3cncn3)n2)cc1; [None]; [None]; [0]
-COc1cc(-c2ccnc(Nc3ccccc3)n2)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccnc(Nc4ccccc4)n3)ccc2O1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cc4ccccn4n3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ccc(N4CCCCC4)cc3)n2)cc1; [None]; [None]; [0]
-Clc1cnc(-c2ccnc(Nc3ccccc3)n2)nc1; [None]; [None]; [0]
-Cc1csc2c(-c3ccnc(Nc4ccccc4)n3)ncnc12; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cccc(-n4nccn4)c3)n2)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-O=C(Nc1ccnc(Nc2ccccc2)n1)c1ccco1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3ccnc(Nc4ccccc4)n3)c1)OCOC2; [None]; [None]; [0]
-COc1ccc2oc(-c3ccnc(Nc4ccccc4)n3)cc2c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cc(-c4cccnc4)ccn3)n2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3ncc4sccc4n3)n2)cc1; [None]; [None]; [0]
-Cc1nc(-c2ccnc(Nc3ccccc3)n2)c2sccc2n1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Clc1ccc2nc(-c3ccnc(Nc4ccccc4)n3)ncc2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-COc1ccc2nc(-c3ccnc(Nc4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccnc(Nc3ccccc3)n2)c1)N1CCCC1; [None]; [None]; [0]
-Cn1cc(-c2ccnc(Nc3ccccc3)n2)c2ccccc21; ['Cn1cc(-c2ccnc(Cl)n2)c2ccccc21']; ['Nc1ccccc1']; [0.999984]
-FC(F)(F)Oc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccnc(Nc3ccccc3)n2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccnc(Nc4ccccc4)n3)ccc21; [None]; [None]; [0]
-Cc1cc(-c2ccnc(Nc3ccccc3)n2)cc(C)c1OCCO; [None]; [None]; [0]
-C[NH+](C)CCCc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-FC1(F)CCC(c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccnc(Nc4ccccc4)n3)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-O=S1(=O)CCC(c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
-c1ccc(Nc2nccc(CC3CCOCC3)n2)cc1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)c(OC)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)c(F)c1; [None]; [None]; [0]
-Cn1c(-c2ccnc(Nc3ccccc3)n2)nc2ccccc21; [None]; [None]; [0]
-Cc1ccccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-Clc1ccc(CCc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1ccnc(Nc3ccccc3)n1)OCO2; [None]; [None]; [0]
-COCCCc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccnc(Nc3ccccc3)n2)c[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccnc(Nc4ccccc4)n3)ccc12; [None]; [None]; [0]
-Cc1nnc(-c2ccnc(Nc3ccccc3)n2)o1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3cnc4[nH]ccc4c3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3nnco3)n2)cc1; [None]; [None]; [0]
-Fc1cnc(-c2ccnc(Nc3ccccc3)n2)nc1; [None]; [None]; [0]
-CNc1nccc(-c2ccnc(Nc3ccccc3)n2)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Brc1ccc(-c2ccnc(Nc3ccccc3)n2)o1; [None]; [None]; [0]
-Nc1cc(-c2ccnc(Nc3ccccc3)n2)n[nH]1; [None]; [None]; [0]
-c1ccc(Nc2nccc(-c3nncs3)n2)cc1; [None]; [None]; [0]
-[O-]c1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3ccnc(Nc4ccccc4)n3)c2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccnc(Nc3ccccc3)n2)c1C; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccnc(Nc3ccccc3)n2)ccc1C(N)=O; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(CCc3c[nH]c4ccccc34)n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2nccc(OCc3cccc4ccccc34)n2)cc1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-Fc1ccc(COc2ccnc(Nc3ccccc3)n2)c(F)c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-N#Cc1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Fc1ccc(CCc2ccnc(Nc3ccccc3)n2)c(F)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2ncc3ccccc3n2)cn1; [None]; [None]; [0]
-CCOc1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(n3cnc(N)c3)CC2)c1; [None]; [None]; [0]
-COc1ncccc1-n1cnc(N)c1; [None]; [None]; [0]
-Cc1n[nH]cc1-n1cnc(N)c1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-n2cnc(N)c2)c1; [None]; [None]; [0]
-COc1cc(-n2cnc(N)c2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1nncc1-n1cnc(N)c1; [None]; [None]; [0]
-Cn1cc(-n2cnc(N)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cnc3cccnn23)cn1; [None]; [None]; [0]
-Cc1nn(C)cc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2cccc(O)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(N3CCOCC3)cc2)cn1; [None]; [None]; [0]
-COc1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2ccccc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cccc(NC(=O)C3CC3)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-n2cnc(N)c2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2ccc(C(=O)[O-])cc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(C(=O)Nc3ccccc3)cc2)cn1; [None]; [None]; [0]
-Nc1cn(Nc2ncccn2)cn1; [None]; [None]; [0]
-Nc1cn(Cc2nccc3ccccc23)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
-Nc1cn(CCCO)cn1; [None]; [None]; [0]
-Nc1cn(-c2cccc(F)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cccc(C3CCNCC3)c2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2ccc(OCCO)cc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(C(=O)N3CCOCC3)cn2)cn1; [None]; [None]; [0]
-Cc1cc(-n2cnc(N)c2)nn1C; [None]; [None]; [0]
-Nc1cn(-c2ccc(C(=O)N3CCOCC3)cc2)cn1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2ccc(C(F)(F)F)cc2)cn1; [None]; [None]; [0]
-Nc1cn(C2CCCCC2)cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(n2cnc(N)c2)CC1; [None]; [None]; [0]
-Cc1nc(C)c(-n2cnc(N)c2)s1; [None]; [None]; [0]
-Nc1cn(-c2cnc(Cl)nc2)cn1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn([C@H]2CCN(C(=O)c3ccccc3)C2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cncnc2)cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2ccc(Br)cc2)cn1; [None]; [None]; [0]
-CN(C)c1ccc(-n2cnc(N)c2)cc1Cl; [None]; [None]; [0]
-Nc1cn(-c2cn[nH]c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2c[nH]c3ccccc23)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc[nH]2)cn1; [None]; [None]; [0]
-Cc1cc(-n2cnc(N)c2)sn1; [None]; [None]; [0]
-Nc1cn(-c2cc(N3CCOCC3)ccn2)cn1; [None]; [None]; [0]
-COc1cc(OC)c(-n2cnc(N)c2)cc1Cl; [None]; [None]; [0]
-Nc1cn(-c2cc3ccccc3cn2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc3c(c2)CCO3)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(n3cnc(N)c3)CC2)c1; [None]; [None]; [0]
-Nc1cn(-c2cc(-c3ccccc3)[nH]n2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-n2cnc(N)c2)c1; [None]; [None]; [0]
-Nc1cn(-c2scc3c2OCCO3)cn1; [None]; [None]; [0]
-COc1cc(-n2cnc(N)c2)ccc1O; [None]; [None]; [0]
-Nc1cn([C@@H]2CC[C@@H]([NH3+])CC2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cccnc2Oc2ccccc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cccc3c2OCO3)cn1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2ccc(F)c(F)c2)cn1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-n2cnc(N)c2)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2cnc3ccccc3c2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nn2cnc(N)c2)c1; [None]; [None]; [0]
-Nc1cn(-c2ccco2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](n2cnc(N)c2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-n3cnc(N)c3)cc2)CC1; [None]; [None]; [0]
-CSc1cccc(-n2cnc(N)c2)c1; [None]; [None]; [0]
-COCCn1cnc(N)c1; [None]; [None]; [0]
-Nc1cn([C@@H]2CC[C@@H](O)CC2)cn1; [None]; [None]; [0]
-Nc1cn(C2CCOCC2)cn1; [None]; [None]; [0]
-Cc1cc(-n2cnc(N)c2)nc(N)n1; [None]; [None]; [0]
-Nc1cn(-c2ccc(F)cc2Cl)cn1; [None]; [None]; [0]
-CC[C@@H](CO)n1cnc(N)c1; [None]; [None]; [0]
-COc1ccc(-n2cnc(N)c2)cc1OC; [None]; [None]; [0]
-Nc1cn(-c2ncc(Br)cn2)cn1; [None]; [None]; [0]
-Nc1cn([C@H]2CC[C@@H](O)C2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(Cl)cc2Cl)cn1; [None]; [None]; [0]
-CCc1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2ccsc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cc3ccccn3n2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ncc3cccn3n2)cn1; [None]; [None]; [0]
-COc1cc(-n2cnc(N)c2)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-n3cnc(N)c3)ccc2O1; [None]; [None]; [0]
-Cn1cc(-n2cnc(N)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1cc(C)cc(-n2cnc(N)c2)c1; [None]; [None]; [0]
-Nc1cn(-c2cccc3ccc(O)cc23)cn1; [None]; [None]; [0]
-COc1ccc2cccc(-n3cnc(N)c3)c2c1; [None]; [None]; [0]
-Nc1cn(-c2ccc(N3CCCCC3)cc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ncc(Cl)cn2)cn1; [None]; [None]; [0]
-COc1cc(-n2cnc(N)c2)ccc1Cl; [None]; [None]; [0]
-COc1cc(F)c(-n2cnc(N)c2)cc1OC; [None]; [None]; [0]
-Cc1ccc(-n2cnc(N)c2)o1; [None]; [None]; [0]
-Nc1cn(-c2cccc(-n3nccn3)c2)cn1; [None]; [None]; [0]
-Cc1csc2c(-n3cnc(N)c3)ncnc12; [None]; [None]; [0]
-CCNC(=O)N1CCC(n2cnc(N)c2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](n2cnc(N)c2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](n2cnc(N)c2)CC1; [None]; [None]; [0]
-COc1cc(-n2cnc(N)c2)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc(OC)cc(-n2cnc(N)c2)c1; [None]; [None]; [0]
-Nc1cn(-c2ccc3cn[nH]c3c2)cn1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2cc(F)cc3c2OCOC3)cn1; [None]; [None]; [0]
-COc1ccc2oc(-n3cnc(N)c3)cc2c1; [None]; [None]; [0]
-Nc1cn(-c2cc(-c3cccnc3)ccn2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cc3ccccc3o2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-n2cnc(N)c2)c1; [None]; [None]; [0]
-Nc1cn(-c2ncc3sccc3n2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ncc3cc(Cl)ccc3n2)cn1; [None]; [None]; [0]
-Cc1nc(-n2cnc(N)c2)c2sccc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-COc1ccc2nc(-n3cnc(N)c3)[nH]c2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2ccc(OC(F)(F)F)cc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(C(=O)[O-])c(Cl)c2)cn1; [None]; [None]; [0]
-Cn1cc(-n2cnc(N)c2)c2ccccc21; [None]; [None]; [0]
-Nc1cn(-c2cccc(NC(=O)N3CCCC3)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cscn2)cn1; [None]; [None]; [0]
-Cc1ccc(-n2cnc(N)c2)nc1C; [None]; [None]; [0]
-CCc1cccc(-n2cnc(N)c2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-n2cnc(N)c2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-n3cnc(N)c3)ccc12; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-n2cnc(N)c2)n1; [None]; [None]; [0]
-Nc1cn(C2CCS(=O)(=O)CC2)cn1; [None]; [None]; [0]
-Nc1cn(C2CCC(F)(F)CC2)cn1; [None]; [None]; [0]
-Cc1cc(-n2cnc(N)c2)cc(C)c1OCCO; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2cccc(N3CCCC3=O)c2)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-n2cnc(N)c2)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2ccc(CCO)cc2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2cnc(N)c2)c(OC)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)n1cnc(N)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-n1cnc(N)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-n2cnc(N)c2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2ccc(O)cc2)cn1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2cccc3ncccc23)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-n2cnc(N)c2)c1; [None]; [None]; [0]
-Nc1cn(-c2ccc(Cl)c(O)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2c(F)cccc2F)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccncc2)cn1; [None]; [None]; [0]
-Cc1cc(F)ccc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
-Nc1cn(-c2c(Cl)cccc2Cl)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-n2cnc(N)c2)c(F)c1; [None]; [None]; [0]
-Cc1ccccc1-n1cnc(N)c1; [None]; [None]; [0]
-Cc1ncc(-n2cnc(N)c2)[nH]1; [None]; [None]; [0]
-Nc1cn(-c2ccnc(N)n2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(O)cc2Cl)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccccc2Cl)cn1; [None]; [None]; [0]
-Nc1cn(-c2cn[nH]c2Cl)cn1; [None]; [None]; [0]
-N#Cc1cnc(-n2cnc(N)c2)cn1; [None]; [None]; [0]
-Nc1cn([C@@H]2C[C@H](O)C2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccoc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cnccn2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cc[nH]c2)cn1; [None]; [None]; [0]
-Nc1cn(COc2cccc(Cl)c2)cn1; [None]; [None]; [0]
-COc1cc(CCn2cnc(N)c2)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-n2cnc(N)c2)o1; [None]; [None]; [0]
-Nc1cn(-c2cccc(Br)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(O)cc2O)cn1; [None]; [None]; [0]
-N#Cc1ccc(-n2cnc(N)c2)cn1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-n2cnc(N)c2)c1; [None]; [None]; [0]
-Nc1cn(-c2cccs2)cn1; [None]; [None]; [0]
-Nc1cn(COc2ccccc2Cl)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(F)c(Cl)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccncn2)cn1; [None]; [None]; [0]
-Nc1cn(CCc2ccc(Cl)cc2)cn1; [None]; [None]; [0]
-Cc1ccc(O)cc1-n1cnc(N)c1; [None]; [None]; [0]
-Cc1ccc(-n2cnc(N)c2)cc1C; [None]; [None]; [0]
-Nc1cn([C@H](CO)c2ccccc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cc(O)ccc2Cl)cn1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-n1cnc(N)c1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2cnc(O)c(Cl)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2c(Cl)ccc3c2OCO3)cn1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-n3cnc(N)c3)ccc12; [None]; [None]; [0]
-COCCCn1cnc(N)c1; [None]; [None]; [0]
-NC(=O)c1cc(-n2cnc(N)c2)c[nH]1; [None]; [None]; [0]
-Cc1nnc(-n2cnc(N)c2)o1; [None]; [None]; [0]
-Nc1cn(-c2nnco2)cn1; [None]; [None]; [0]
-Cc1nc2ccc(-n3cnc(N)c3)cc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2cnc3[nH]ccc3c2)cn1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-n2cnc(N)c2)cc1; [None]; [None]; [0]
-Nc1cn(-c2cncc(O)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc3c(c2)CC(=O)N3)cn1; [None]; [None]; [0]
-Nc1cn(-c2nc3ccccc3s2)cn1; [None]; [None]; [0]
-C[C@H](CC(N)=O)n1cnc(N)c1; [None]; [None]; [0]
-CNc1nccc(-n2cnc(N)c2)n1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](n2cnc(N)c2)CC1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-n1cnc(N)c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2ncc(F)cn2)cn1; [None]; [None]; [0]
-Cc1cccc(C)c1-n1cnc(N)c1; [None]; [None]; [0]
-Cc1cc(O)ccc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2ccc(Br)o2)cn1; [None]; [None]; [0]
-Nc1cn(-c2nccs2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cc(Cl)c(O)c(Cl)c2)cn1; [None]; [None]; [0]
-CCc1sccc1-n1cnc(N)c1; [None]; [None]; [0]
-Nc1cn(-c2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc3c(c2)CCN3)cn1; [None]; [None]; [0]
-Nc1cn(-c2nncs2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc3[nH]c(=O)[nH]c3c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2[nH]nc3ccc(F)cc23)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(Br)cc2F)cn1; [None]; [None]; [0]
-Nc1cn(-c2cccc([O-])c2)cn1; [None]; [None]; [0]
-Cc1ccc(-n2cnc(N)c2)c(C)n1; [None]; [None]; [0]
-Cc1csc(-n2cnc(N)c2)n1; [None]; [None]; [0]
-Cc1n[nH]c(-n2cnc(N)c2)c1C; [None]; [None]; [0]
-Nc1cn(-c2cnco2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cc(O)cc(Br)c2)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc(C(=O)NC3CC3)cc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cc(F)c(O)c(F)c2)cn1; [None]; [None]; [0]
-Cc1nc2ccc(-n3cnc(N)c3)cc2o1; [None]; [None]; [0]
-Cc1cc(-n2cnc(N)c2)ccc1C(N)=O; [None]; [None]; [0]
-Nc1cn(-c2[nH]cnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
-Nc1cn(CCc2c[nH]c3ccccc23)cn1; [None]; [None]; [0]
-Nc1cn(-c2ccc3c(=O)[nH][nH]c3c2)cn1; [None]; [None]; [0]
-Nc1cn(Cc2ccc(F)cc2)cn1; [None]; [None]; [0]
-Nc1cn(-c2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
-c1ccc2nc([C@@H]3CCc4[nH]ncc4C3)ncc2c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-n1cnc(N)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Nc1cn(CCc2ccc(F)cc2F)cn1; [None]; [None]; [0]
-c1cc(N2CCOCC2)ccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cc1ccc2ncn([C@@H]3CCc4[nH]ncc4C3)c2c1; [None]; [None]; [0]
-COc1cccc(N2CCC([C@@H]3CCc4[nH]ncc4C3)CC2)c1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-O=C(Nc1cccc([C@@H]2CCc3[nH]ncc3C2)c1)C1CC1; [None]; [None]; [0]
-c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-O=C(c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1)N1CCOCC1; [None]; [None]; [0]
-c1ccc(C[C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-O=C(c1ccc([C@@H]2CCc3[nH]ncc3C2)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)C[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H]([C@@H]2CCc3[nH]ncc3C2)C1; [None]; [None]; [0]
-c1ncc(C[C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-Nc1ncc(C[C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-CN(C)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1Cl; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc([C@@H]2CCc3[nH]ncc3C2)n1; [None]; [None]; [0]
-COc1cc(OC)c([C@@H]2CCc3[nH]ncc3C2)cc1Cl; [None]; [None]; [0]
-Cc1cc([C@@H]2CCc3[nH]ncc3C2)sn1; [None]; [None]; [0]
-c1ccc(-c2cc([C@@H]3CCc4[nH]ncc4C3)n[nH]2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC([C@@H]3CCc4[nH]ncc4C3)CC2)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)N[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2[C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COc1cccc(C(=O)N[C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-CC[NH+](CC)[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc([C@@H]3CCc4[nH]ncc4C3)cc2)CC1; [None]; [None]; [0]
-CCCCC[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1cc2cnc([C@@H]3CCc4[nH]ncc4C3)nn2c1; [None]; [None]; [0]
-c1ncn(CCC[C@@H]2CCc3[nH]ncc3C2)n1; [None]; [None]; [0]
-c1ccn2nc([C@@H]3CCc4[nH]ncc4C3)cc2c1; [None]; [None]; [0]
-CC1(C)Cc2cc([C@@H]3CCc4[nH]ncc4C3)ccc2O1; [None]; [None]; [0]
-COc1cc([C@@H]2CCc3[nH]ncc3C2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1csc2c([C@@H]3CCc4[nH]ncc4C3)ncnc12; [None]; [None]; [0]
-c1cc(N2CCCCC2)ccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Clc1cnc([C@@H]2CCc3[nH]ncc3C2)nc1; [None]; [None]; [0]
-c1cc([C@@H]2CCc3[nH]ncc3C2)cc(-n2nccn2)c1; [None]; [None]; [0]
-COc1ccc(OC)c(C[C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(C[C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(C[C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-O=C(N[C@@H]1CCc2[nH]ncc2C1)c1ccco1; [None]; [None]; [0]
-Fc1cc2c(c([C@@H]3CCc4[nH]ncc4C3)c1)OCOC2; [None]; [None]; [0]
-COc1ccc2oc([C@@H]3CCc4[nH]ncc4C3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)N[C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-c1cncc(-c2ccnc([C@@H]3CCc4[nH]ncc4C3)c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cc1nc([C@@H]2CCc3[nH]ncc3C2)c2sccc2n1; [None]; [None]; [0]
-Clc1ccc2nc([C@@H]3CCc4[nH]ncc4C3)ncc2c1; [None]; [None]; [0]
-c1cc2nc([C@@H]3CCc4[nH]ncc4C3)ncc2s1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COc1ccc2nc([C@@H]3CCc4[nH]ncc4C3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc([C@@H]2CCc3[nH]ncc3C2)c1)N1CCCC1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-FC(F)(F)O[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cn1cc([C@@H]2CCc3[nH]ncc3C2)c2ccccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc([C@@H]2CCc3[nH]ncc3C2)n1; [None]; [None]; [0]
-O=C([O-])c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1Cl; [None]; [None]; [0]
-CN(C)c1ccc([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-Cn1ncc2cc([C@@H]3CCc4[nH]ncc4C3)ccc21; [None]; [None]; [0]
-Cc1cc([C@@H]2CCc3[nH]ncc3C2)cc(C)c1OCCO; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-C[NH+](C)CCC[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cc1n[nH]c2cc([C@@H]3CCc4[nH]ncc4C3)ccc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)c(Cl)c1; [None]; [None]; [0]
-c1n[nH]c2c1C[C@H](CC1CCOCC1)CC2; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CCNC(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)c(OC)c1; [None]; [None]; [0]
-C[NH+](C)CCCO[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COC(C)(C)CC[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2[C@@H]2CCc3[nH]ncc3C2)[nH]1; [None]; [None]; [0]
-O=C([O-])c1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cc1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-COc1cnc([C@@H]2CCc3[nH]ncc3C2)nc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H]([C@@H]2CCc3[nH]ncc3C2)CO1; [None]; [None]; [0]
-CC(C)(C)c1nc([C@@H]2CCc3[nH]ncc3C2)cs1; [None]; [None]; [0]
-Cc1nc2ccccn2c1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1n[nH]c2c1C[C@H](CC1CCCCC1)CC2; [None]; [None]; [0]
-CC(C)C(=O)CO[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CCC(C)(C)[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CNc1nc(C)c([C@@H]2CCc3[nH]ncc3C2)s1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-c1nc(CCN[C@@H]2CCc3[nH]ncc3C2)c[nH]1; [None]; [None]; [0]
-COC(=O)[C@@H](N)C[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-O=C([O-])Cc1cccc([C@@H]2CCc3[nH]ncc3C2)c1; [None]; [None]; [0]
-CCCC[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1ccc(CCN[C@@H]2CCc3[nH]ncc3C2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc([C@@H]3CCc4[nH]ncc4C3)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc([C@@H]3CCc4[nH]ncc4C3)ccc12; [None]; [None]; [0]
-CCCn1cnc([C@@H]2CCc3[nH]ncc3C2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)O[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CSc1nc([C@@H]2CCc3[nH]ncc3C2)c[nH]1; [None]; [None]; [0]
-[NH3+]CCC[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CCNc1nc2ccc([C@@H]3CCc4[nH]ncc4C3)cc2s1; [None]; [None]; [0]
-CC(C)c1oncc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1ncc2c([C@@H]3CCc4[nH]ncc4C3)csc2n1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN([C@@H]2CCc3[nH]ncc3C2)CC1; [None]; [None]; [0]
-c1ccn2ncc([C@@H]3CCc4[nH]ncc4C3)c2c1; [None]; [None]; [0]
-C[C@H]([C@@H]1CCc2[nH]ncc2C1)C(F)(F)F; [None]; [None]; [0]
-O=c1cc([C@@H]2CCc3[nH]ncc3C2)cc[nH]1; [None]; [None]; [0]
-O=c1cc([C@@H]2CCc3[nH]ncc3C2)ccn1[C@@H2]CO; [None]; [None]; [0]
-COc1cc(CC[C@@H]2CCc3[nH]ncc3C2)cc(OC)c1; [None]; [None]; [0]
-O=C([O-])c1cc([C@@H]2CCc3[nH]ncc3C2)ccc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1cc2cc([C@@H]3CCc4[nH]ncc4C3)cnc2[nH]1; [None]; [None]; [0]
-Cc1cc([C@@H]2CCc3[nH]ncc3C2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn([C@@H]2CCc3[nH]ncc3C2)n1; [None]; [None]; [0]
-OCCc1cn([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-C[C@H](N[C@@H]1CCc2[nH]ncc2C1)C(C)(C)C; [None]; [None]; [0]
-C[C@H](N[C@@H]1CCc2[nH]ncc2C1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](N[C@@H]1CCc2[nH]ncc2C1)C(C)(C)O; [None]; [None]; [0]
-c1ncn(-c2ccc([C@@H]3CCc4[nH]ncc4C3)cc2)n1; [None]; [None]; [0]
-c1nc([C@@H]2CCc3[nH]ncc3C2)n[nH]1; [None]; [None]; [0]
-CSc1nc(C)c([C@@H]2CCc3[nH]ncc3C2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CC(C)n1cnnc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CC(C)([NH3+])CN[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-O=C(CC[C@@H]1CCc2[nH]ncc2C1)NCc1ccccn1; [None]; [None]; [0]
-c1n[nH]c2c1C[C@H](c1nncn1C1CC1)CC2; [None]; [None]; [0]
-Cn1cnnc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CCc1cc([C@@H]2CCc3[nH]ncc3C2)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc([C@@H]3CCc4[nH]ncc4C3)nn2)cc1; [None]; [None]; [0]
-C[C@@H](N[C@@H]1CCc2[nH]ncc2C1)C(C)(C)C; [None]; [None]; [0]
-CNC(=O)c1ccc([C@@H]2CCc3[nH]ncc3C2)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc([C@@H]2CCc3[nH]ncc3C2)[nH]1; [None]; [None]; [0]
-c1sc(N2CCOCC2)nc1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-CCCCc1cc([C@@H]2CCc3[nH]ncc3C2)nc(N)n1; [None]; [None]; [0]
-Cn1cc([C@@H]2CCc3[nH]ncc3C2)c(=O)n1C; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-c1cc2cnc([C@@H]3CCc4[nH]ncc4C3)nc2[nH]1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c([C@@H]2CCc3[nH]ncc3C2)cn1; [None]; [None]; [0]
-CN(C)c1cc([C@@H]2CCc3[nH]ncc3C2)cnn1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](O[C@@H]2CCc3[nH]ncc3C2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1C[C@@H]1CCc2[nH]ncc2C1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccccc1; [None]; [None]; [0]
-CCOc1ccccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-CNC(=O)c1ccccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2Nc2c(C)cnc3ccnn23)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCNc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccccc1S(=O)(=O)C(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCc1cc(F)cc(F)c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccccc1P(C)(C)=O; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NC1CCOCC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccnc2ccccc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc[nH]n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccnc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-Cc1cccc(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccccc1Cl; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccccc1F; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccccc1Br; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccccc1OC(F)(F)F; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccccc1C#N; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccccc1C(=O)[O-]; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccccc1C(N)=O; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1c(F)cccc1F; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccncn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H](N)c1ccco1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1csc(C(C)(C)C)n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1CC[C@@H](CO)OC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnn(CCO)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc2c(c1)CCC2; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCC1CCCCC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NC1CCCCC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NOCC(=O)C(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1c(C)nc2ccccn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnco1; [None]; [None]; [0]
-COc1cnc(Nc2c(C)cnc3ccnn23)nc1; [None]; [None]; [0]
-Cc1nc(C)c(Nc2c(C)cnc3ccnn23)s1; [None]; [None]; [0]
-CNc1nc(C)c(Nc2c(C)cnc3ccnn23)s1; [None]; [None]; [0]
-Cc1ccc(Nc2c(C)cnc3ccnn23)c(Br)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnc2cccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnc2ccccn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1c(Cl)cccc1Cl; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1sc(N)nc1C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NOC1CCCCC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(Cl)c1Cl; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNC(C)(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNCc1cccnc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccnc(N)n1; [None]; [None]; [0]
-CCC(C)(C)Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1ccc(Cl)c(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(Cl)s1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc2ccccc2c1; [None]; [None]; [0]
-Cc1ncc(Nc2c(C)cnc3ccnn23)[nH]1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NN[C@H](C)CO; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nn1cnc2ccccc21; [None]; [None]; [0]
-COc1cccc(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NOCC(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNc1cccnc1; [None]; [None]; [0]
-COC(=O)[C@@H](N)CNc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNCCc1c[nH]cn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NO[C@H](C)[C@@H](C)O; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNCCc1ccccc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cncc2ccccc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNC(=O)c1cccs1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc2c(cnn2C)c1; [None]; [None]; [0]
-CCCCNc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCCC[NH3+]; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NO[C@@H](C)C[NH+](C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(-c2cnn(C)c2)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(CO)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1CCC[C@H]([NH3+])C1; [None]; [None]; [0]
-CCCn1cnc(Nc2c(C)cnc3ccnn23)n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNc1ccncc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(O)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccs1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cncn1C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnn(C)c1; [None]; [None]; [0]
-CSc1nc(Nc2c(C)cnc3ccnn23)c[nH]1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNC(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1csc2ncncc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccco1; [None]; [None]; [0]
-CCNc1nc2ccc(Nc3c(C)cnc4ccnn34)cc2s1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnoc1C(C)C; [None]; [None]; [0]
-CCC(=O)Nc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NOC(F)(F)F; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(CCC#N)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NN1CCC(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H](C)C(F)(F)F; [None]; [None]; [0]
-COc1ccc(Nc2c(C)cnc3ccnn23)cc1Cl; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cn(C)c2ccccc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnn2ccccc12; [None]; [None]; [0]
-CCC(=O)NNc1c(C)cnc2ccnn12; [None]; [None]; [0]
-CCCn1cc(Nc2c(C)cnc3ccnn23)cn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnoc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc2c1C(=O)CC2; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccn([C@@H2]CO)c(=O)c1; [None]; [None]; [0]
-Cc1cc(Nc2c(C)cnc3ccnn23)no1; [None]; [None]; [0]
-COc1cc(CCNc2c(C)cnc3ccnn23)cc(OC)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc[nH]c(=O)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNC(=O)NC(C)(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(Cl)c(C(=O)[O-])c1; [None]; [None]; [0]
-CCOC(=O)CNc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc([S@](C)=O)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
-CCN(CC)Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1c[nH]c2ccccc12; [None]; [None]; [0]
-COc1ccncc1NNc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNc1cnc2ccccc2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1c[nH]c2cnccc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1CC[C@@H](NC(=O)O)C1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NC1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1CC[C@@H](C#N)CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnc2[nH]ccc2c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1CC[C@@H](CC#N)CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@H]1COCC[C@@H]1C#N; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1CCCN(C(=O)CC#N)C1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(S(=O)(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1CC[C@@H](CCC#N)CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nn1ccc(CO)n1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nn1cnc(CCO)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NN[C@H](C)C(C)(C)O; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NN[C@@H](C)C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2c(C)cnc3ccnn23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nn1ncc2ccccc21; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nn1ncc2c(O)cccc21; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NN[C@@H](C)C(C)(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccnc1O; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(F)c1C(N)=O; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nc[nH]n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1[nH]cnc1C; [None]; [None]; [0]
-CSc1nc(C)c(Nc2c(C)cnc3ccnn23)[nH]1; [None]; [None]; [0]
-COc1ccc(Nc2c(C)cnc3ccnn23)c(OC)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNCC(C)(C)[NH3+]; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nncn1C(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nncn1[C@H](C)CO; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCc1ccncc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCCC(=O)NCc1ccccn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nncn1C1CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nn1ccnc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NN[C@H](C)C(C)(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nncn1C; [None]; [None]; [0]
-CCCCc1cc(Nc2c(C)cnc3ccnn23)nc(N)n1; [None]; [None]; [0]
-CCc1cc(Nc2c(C)cnc3ccnn23)nc(N)n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NOC1CCOCC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nnc(N)s1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-Cc1cncc(Nc2c(C)cnc3ccnn23)n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1csc(N2CCOCC2)n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnc(N)s1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@H]1CCCN1C(N)=O; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2c(C)cnc3ccnn23)s1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nc2ccccc2s1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCC1CCOCC1; [None]; [None]; [0]
-COc1cccc(F)c1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-CC(=O)Nc1ncc(Nc2c(C)cnc3ccnn23)[nH]1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nc(N)c2ccccc2n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc2ccsc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cn(C)n(C)c1=O; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ncc2cc[nH]c2n1; [None]; [None]; [0]
-COc1ccc(C#N)cc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCc1cccnc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1c[nH]c2cccnc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCc1ccccc1NS(C)(=O)=O; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNCC(C)(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NO[C@@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NOC(C)(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NN1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnnc(N(C)C)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NN1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C#N)cc1; [None]; [None]; [0]
-CCOc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
-COc1ncccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-COc1cccc(N2CCC(Nc3c(C)cnc4ccnn34)CC2)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1c[nH]nc1C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
-COc1cc(Nc2c(C)cnc3ccnn23)cc(OC)c1OC; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnnn1C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cn(C)nc1C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-COc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nc2ccccc2[nH]1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(NS(C)(=O)=O)nc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(N)=O)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NNc1ncccn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCc1nccc2ccccc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(Cl)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(F)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCCCO; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(OCCO)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc(C)n(C)n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(N(C)C)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NC1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnc(Cl)nc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cncnc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(Cl)cc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(Br)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc[nH]1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2c(C)cnc3ccnn23)cc1Cl; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cn[nH]c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc2c(c1)CCO2; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Nc2c(C)cnc3ccnn23)sn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3c(C)cnc4ccnn34)CC2)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc2ccccc2cn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc2c1OCO2; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1scc2c1OCCO2; [None]; [None]; [0]
-COc1cc(Nc2c(C)cnc3ccnn23)ccc1O; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(F)c(F)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccnc1Oc1ccccc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1CC[C@@H]([NH3+])CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cnc2ccccc2c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2c(C)cnc3ccnn23)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
-COCCNc1c(C)cnc2ccnn12; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(Nc3c(C)cnc4ccnn34)cc2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)NNc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CSc1cccc(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-Cc1cc(Nc2c(C)cnc3ccnn23)nc(N)n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(F)cc1Cl; [None]; [None]; [0]
-CC[C@@H](CO)Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-COc1ccc(Nc2c(C)cnc3ccnn23)cc1OC; [None]; [None]; [0]
-CCc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ncc(Br)cn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccsc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ncc2cccn2n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(Cl)cc1Cl; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc2ccccn2n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
-COc1cc(Nc2c(C)cnc3ccnn23)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-COc1ccc2cccc(Nc3c(C)cnc4ccnn34)c2c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-COc1cc(F)c(Nc2c(C)cnc3ccnn23)cc1OC; [None]; [None]; [0]
-COc1cc(Nc2c(C)cnc3ccnn23)ccc1Cl; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc2ccc(O)cc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ncnc2c(C)csc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-Cc1ccc(Nc2c(C)cnc3ccnn23)o1; [None]; [None]; [0]
-COc1cc(Nc2c(C)cnc3ccnn23)c(OC)cc1Br; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2c(C)cnc3ccnn23)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2c(C)cnc3ccnn23)CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@@H]1CC[C@@H](NC(=O)NC(C)C)CC1; [None]; [None]; [0]
-COc1cc(Nc2c(C)cnc3ccnn23)cc(OC)c1; [None]; [None]; [0]
-COc1ccc2oc(Nc3c(C)cnc4ccnn34)cc2c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc2cn[nH]c2c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc2ccccc2o1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
-Cc1nc(Nc2c(C)cnc3ccnn23)c2sccc2n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ncc2sccc2n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cn(C)nc1C(C)C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-COc1ccc2nc(Nc3c(C)cnc4ccnn34)[nH]c2c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cscn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(=O)[O-])c(Cl)c1; [None]; [None]; [0]
-CCc1cccc(Nc2c(C)cnc3ccnn23)n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(N2CCC[C@@H]2C)n1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(N(C)C)nc1; [None]; [None]; [0]
-Cc1cc(Nc2c(C)cnc3ccnn23)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1ccc(Nc2c(C)cnc3ccnn23)nc1C; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NC1CCC(F)(F)CC1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(CCO)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NC1CCS(=O)(=O)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2c(C)cnc3ccnn23)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
-Cc1cnc2ccnn2c1N[C@H](C)CS(C)(=O)=O; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-c1ccc2nc(-c3nc4ccccc4[nH]3)ncc2c1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3ccc(N4CCOCC4)cc3)nc2c1; ['Nc1ccccc1N']; ['O=Cc1ccc(N2CCOCC2)cc1']; [0.999939561]
-Cc1ccc2ncn(-c3nc4ccccc4[nH]3)c2c1; [None]; [None]; [0]
-c1ccc(-c2nc3ccccc3[nH]2)cc1; ['Nc1ccccc1[N+](=O)[O-]']; ['O=Cc1ccccc1']; [0.991779745]
-Cc1ccc(C(=O)NCCO)cc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
-COc1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nc3ccccc3[nH]2)c1)C1CC1; ['Nc1cccc(-c2nc3ccccc3[nH]2)c1']; ['O=C(O)C1CC1']; [0.999993563]
-O=C([O-])c1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
-c1ccc(Cc2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2nc3ccccc3[nH]2)cc1)N1CCOCC1; ['C1COCCN1']; ['O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.999957085]
-O=C(c1ccc(-c2nc3ccccc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCCCC3)nc2c1; ['Nc1ccccc1N', 'N#CC1CCCCC1', 'Nc1ccccc1N']; ['O=C(O)C1CCCCC1', 'Nc1ccccc1N', 'O=CC1CCCCC1']; [0.999774039, 0.999774039, 0.999774039]
-CNS(=O)(=O)Cc1nc2ccccc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2nc3ccccc3[nH]2)CC1; ['CS(=O)(=O)Cl']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.976512909]
-c1ccc2[nH]c(Cc3cncnc3)nc2c1; [None]; [None]; [0]
-Nc1ncc(Cc2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2nc3ccccc3[nH]2)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3ccccc3[nH]2)cc1Cl; [None]; [None]; [0]
-c1ccc2[nH]c(-c3cc(N4CCOCC4)ccn3)nc2c1; ['Nc1ccccc1N']; ['O=C(O)c1cc(N2CCOCC2)ccn1']; [0.999975085]
-COc1cc(OC)c(-c2nc3ccccc3[nH]2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2nc3ccccc3[nH]2)sn1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1nc2ccccc2[nH]1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3nc4ccccc4[nH]3)CC2)c1; ['COc1cccc(C(=O)N2CCC(C(=O)O)CC2)c1', 'COc1cccc(C(=O)Cl)c1']; ['Nc1ccccc1N', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999955773, 0.999955773]
-CN(C)C(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CNC']; ['O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.999830246]
-c1ccc(-c2cc(-c3nc4ccccc4[nH]3)n[nH]2)cc1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2nc3ccccc3[nH]2)cc1; ['Nc1ccccc1N']; ['O=C(Cl)c1cccnc1Oc1ccccc1']; [0.999731839]
-[NH3+][C@@H]1CC[C@@H](c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCOCC3)nc2c1; ['COC(=O)C1CCOCC1']; ['Nc1ccccc1N']; [0.999106228]
-CC(C)(C)c1ccc(-c2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2nc3ccccc3[nH]2)c1; ['COc1cccc(C(=O)O)c1', 'COc1cccc(C(=O)Cl)c1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.999508381, 0.999508381]
-CCN1CCN(Cc2ccc(-c3nc4ccccc4[nH]3)cc2)CC1; [None]; [None]; [0]
-CCCCCc1nc2ccccc2[nH]1; ['CCCCCC(=O)O', 'CCCCCC(=O)OC', 'CCCCCCO']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.999047577, 0.999047577, 0.999047577]
-c1ccc2[nH]c(CCCn3cncn3)nc2c1; [None]; [None]; [0]
-CC[NH+](CC)c1nc2ccccc2[nH]1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3ncc4cccn4n3)nc2c1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3cc4ccccn4n3)nc2c1; [None]; [None]; [0]
-COc1cc(-c2nc3ccccc3[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3nc4ccccc4[nH]3)ccc2O1; [None]; [None]; [0]
-Clc1cnc(-c2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3ccc(N4CCCCC4)cc3)nc2c1; ['Nc1ccccc1N']; ['O=Cc1ccc(N2CCCCC2)cc1']; [0.999920845]
-COc1ccc(OC)c(Cc2nc3ccccc3[nH]2)c1; ['COc1ccc(OC)c(CC(=O)Cl)c1']; ['Nc1ccccc1N']; [0.99987638]
-Cc1csc2c(-c3nc4ccccc4[nH]3)ncnc12; [None]; [None]; [0]
-O=C(Nc1nc2ccccc2[nH]1)c1ccco1; ['Nc1nc2ccccc2[nH]1']; ['O=C(Cl)c1ccco1']; [0.952379942]
-c1cc(-c2nc3ccccc3[nH]2)cc(-n2nccn2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2nc3ccccc3[nH]2)CC1; []; []; []
-O=S(=O)(CCO)c1ccc(Cc2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3nc4ccccc4[nH]3)c1)OCOC2; ['Nc1ccccc1N']; ['O=Cc1cc(F)cc2c1OCOC2']; [0.999968171]
-COc1ccc2oc(-c3nc4ccccc4[nH]3)cc2c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2nc3ccccc3[nH]2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1']; ['Nc1nc2ccccc2[nH]1']; [0.999633908]
-C[NH+](C)Cc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3nc4ccccc4[nH]3)c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-Cc1nc(-c2nc3ccccc3[nH]2)c2sccc2n1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3ncc4sccc4n3)nc2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-Clc1ccc2nc(-c3nc4ccccc4[nH]3)ncc2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['C[C@H]1CCCN1']; ['O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.999943376]
-O=C(Nc1cccc(-c2nc3ccccc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(-c3nc4ccccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-c2nc3ccccc3[nH]2)c2ccccc21; [None]; [None]; [0]
-FC(F)(F)Oc1nc2ccccc2[nH]1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nc3ccccc3[nH]2)cc1Cl; [None]; [None]; [0]
-Cn1ncc2cc(-c3nc4ccccc4[nH]3)ccc21; ['Cn1ncc2cc(C(=O)O)ccc21']; ['Nc1ccccc1N']; [0.999440849]
-C[C@H]1CCCN1c1cccc(-c2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
-Cc1cc(-c2nc3ccccc3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3nc4ccccc4[nH]3)ccc12; [None]; [None]; [0]
-O=S1(=O)CCC(c2nc3ccccc3[nH]2)CC1; ['Nc1ccccc1N']; ['O=C(O)C1CCS(=O)(=O)CC1']; [0.999593437]
-FC1(F)CCC(c2nc3ccccc3[nH]2)CC1; ['Nc1ccccc1N']; ['O=C(O)C1CCC(F)(F)CC1']; [0.998395383]
-C[NH+](C)CCCc1nc2ccccc2[nH]1; [None]; [None]; [0]
-c1ccc2[nH]c(CC3CCOCC3)nc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3ccccc3[nH]2)c(OC)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc3ccccc3[nH]2)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CCN']; ['O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.999841]
-Cc1cc(N2CCOCC2)ccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-C[NH+](C)CCCOc1nc2ccccc2[nH]1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc2nccnc2[nH]1; ['CCOc1ccccc1C#N']; ['Cc1cnccn1']; [0.999691844]
-CNC(=O)c1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1ccc(-c2cc3nccnc3[nH]2)cc1; ['Cc1cnccn1']; ['N#Cc1ccccc1']; [0.998279214]
-Cc1nnc(-c2ccccc2-c2cc3nccnc3[nH]2)[nH]1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cc3nccnc3[nH]2)C1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc2nccnc2[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1cc2nccnc2[nH]1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-c1ccc2c(-c3cc4nccnc4[nH]3)ccnc2c1; [None]; [None]; [0]
-c1cnc2[nH]c(C3CCOCC3)cc2n1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cc3nccnc3[nH]2)c1; ['Cc1cnccn1']; ['N#Cc1cccc(C(F)(F)F)c1']; [0.999421835]
-c1cncc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-Fc1ccccc1-c1cc2nccnc2[nH]1; ['Cc1cnccn1']; ['N#Cc1ccccc1F']; [0.985210836]
-Clc1ccccc1-c1cc2nccnc2[nH]1; ['Cc1cnccn1']; ['N#Cc1ccccc1Cl']; [0.994938254]
-N#Cc1ccccc1-c1cc2nccnc2[nH]1; ['Cc1cnccn1']; ['N#Cc1ccccc1C#N']; [0.985806406]
-c1cnc2[nH]c(-c3cc[nH]n3)cc2n1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1cc2nccnc2[nH]1; ['Cc1cnccn1']; ['N#Cc1ccccc1OC(F)(F)F']; [0.998936236]
-Cc1cccc(-c2cc3nccnc3[nH]2)c1; ['Cc1cccc(C#N)c1']; ['Cc1cnccn1']; [0.998416901]
-NC(=O)c1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-Brc1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cc4nccnc4[nH]3)cn2)cc1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cc4nccnc4[nH]3)[nH]2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1cc(-c2cc3nccnc3[nH]2)ncn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc3nccnc3[nH]2)cs1; [None]; [None]; [0]
-OCCn1cc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CO1; [None]; [None]; [0]
-N[C@H](c1cc2nccnc2[nH]1)c1ccco1; [None]; [None]; [0]
-c1cnc2[nH]c(C3CCCCC3)cc2n1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3nccnc3[nH]2)c1)c1ccccc1; [None]; [None]; [0]
-c1cnc2[nH]c(CC3CCCCC3)cc2n1; [None]; [None]; [0]
-COc1cnc(-c2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
-Cc1ccc(-c2cc3nccnc3[nH]2)c(Br)c1; ['Cc1ccc(C#N)c(Br)c1']; ['Cc1cnccn1']; [0.973327696]
-c1cnc2[nH]c(-c3ccc4c(c3)CCC4)cc2n1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3cnco3)cc2n1; [None]; [None]; [0]
-c1ccn2c(-c3cc4nccnc4[nH]3)cnc2c1; [None]; [None]; [0]
-CC(C)C(=O)COc1cc2nccnc2[nH]1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc3nccnc3[nH]2)s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1cnn2c(-c3cc4nccnc4[nH]3)cnc2c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc3nccnc3[nH]2)s1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-CC(C)(C)Nc1cc2nccnc2[nH]1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc3nccnc3[nH]2)c1; ['Cc1ccc(Cl)c(C#N)c1']; ['Cc1cnccn1']; [0.989429176]
-c1cnc2[nH]c(OC3CCCCC3)cc2n1; [None]; [None]; [0]
-Clc1cccc(-c2cc3nccnc3[nH]2)c1Cl; ['Cc1cnccn1']; ['N#Cc1cccc(Cl)c1Cl']; [0.998982251]
-Cc1ncc(-c2cc3nccnc3[nH]2)[nH]1; [None]; [None]; [0]
-c1cncc(CNc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-Nc1nccc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
-COc1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-CCC(C)(C)c1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1ccc2cc(-c3cc4nccnc4[nH]3)ccc2c1; ['Cc1cnccn1']; ['N#Cc1ccc2ccccc2c1']; [0.999035]
-c1cncc(Nc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-Clc1ccc(-c2cc3nccnc3[nH]2)s1; [None]; [None]; [0]
-c1cnc2[nH]c(NCCc3c[nH]cn3)cc2n1; [None]; [None]; [0]
-C[C@H](CO)Nc1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1ccc2c(c1)ncn2-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cc2nccnc2[nH]1; [None]; [None]; [0]
-CC(C)COc1cc2nccnc2[nH]1; [None]; [None]; [0]
-O=C(Nc1cc2nccnc2[nH]1)c1cccs1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cc2nccnc2[nH]1; [None]; [None]; [0]
-CCCCc1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1ccc(CCNc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-c1ccc2c(-c3cc4nccnc4[nH]3)cncc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cc4nccnc4[nH]3)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4nccnc4[nH]3)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cc4nccnc4[nH]3)ccc12; [None]; [None]; [0]
-[NH3+]CCCc1cc2nccnc2[nH]1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cc2nccnc2[nH]1; [None]; [None]; [0]
-Oc1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-Cn1cncc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cc3nccnc3[nH]2)C1; [None]; [None]; [0]
-OCc1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-c1cc(Nc2cc3nccnc3[nH]2)ccn1; [None]; [None]; [0]
-c1coc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-Cn1cc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-c1csc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-CSc1nc(-c2cc3nccnc3[nH]2)c[nH]1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-CC(C)Nc1cc2nccnc2[nH]1; [None]; [None]; [0]
-Fc1ccc(-c2cc3nccnc3[nH]2)c(C(F)(F)F)c1; ['Cc1cnccn1']; ['N#Cc1ccc(F)cc1C(F)(F)F']; [0.997076273]
-c1cnc2[nH]c(-c3csc4ncncc34)cc2n1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc4nccnc4[nH]3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1cc2nccnc2[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cc3nccnc3[nH]2)c2ccccc21; ['Cc1cnccn1']; ['Cn1cc(C#N)c2ccccc21']; [0.886161506]
-CC(=O)Nc1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-CCC(=O)Nc1cc2nccnc2[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc3nccnc3[nH]2)cc1Cl; ['COc1ccc(C#N)cc1Cl']; ['Cc1cnccn1']; [0.998852611]
-C[C@H](c1cc2nccnc2[nH]1)C(F)(F)F; [None]; [None]; [0]
-c1ccn2ncc(-c3cc4nccnc4[nH]3)c2c1; [None]; [None]; [0]
-Cc1cc(-c2cc3nccnc3[nH]2)no1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3cnoc3)cc2n1; [None]; [None]; [0]
-CCCn1cc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-O=c1cc(-c2cc3nccnc3[nH]2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cc4nccnc4[nH]3)c21; [None]; [None]; [0]
-O=c1cc(-c2cc3nccnc3[nH]2)cc[nH]1; [None]; [None]; [0]
-COc1cc(CCc2cc3nccnc3[nH]2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc2nccnc2[nH]1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cc3nccnc3[nH]2)ccc1Cl; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cc4nccnc4[nH]3)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1ccc2c(-c3cc4nccnc4[nH]3)c[nH]c2c1; ['Cc1cnccn1']; ['N#Cc1c[nH]c2ccccc12']; [0.985566854]
-c1cc2c(-c3cc4nccnc4[nH]3)c[nH]c2cn1; [None]; [None]; [0]
-c1ccc2ncc(Nc3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
-CCN(CC)c1cc2nccnc2[nH]1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cc2nccnc2[nH]1; [None]; [None]; [0]
-COc1ccncc1Nc1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3cnc4[nH]ccc4c3)cc2n1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)C1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cc3nccnc3[nH]2)C1; [None]; [None]; [0]
-CC1(c2cc3nccnc3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cc2nccnc2[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3ccc(N4CCOCC4)cc3)cc2n1; ['Cc1cnccn1']; ['N#Cc1ccc(N2CCOCC2)cc1']; [0.999869585]
-CS(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CS(=O)(=O)c1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.998527527]
-Cc1cc(-c2cc3nccnc3[nH]2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
-C[C@H](Nc1cc2nccnc2[nH]1)C(C)(C)C; [None]; [None]; [0]
-OCCc1cn(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-C[C@H](Nc1cc2nccnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-C[C@@H](Nc1cc2nccnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3nc[nH]n3)cc2n1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-Oc1ncccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3ccc(-n4cncn4)cc3)cc2n1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cc4nccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc3nccnc3[nH]2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc3nccnc3[nH]2)c(OC)c1; ['COc1ccc(C#N)c(OC)c1']; ['Cc1cnccn1']; [0.990549266]
-c1cc(Cc2cc3nccnc3[nH]2)ccn1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cc2nccnc2[nH]1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-Cn1cnnc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3nncn3C3CC3)cc2n1; [None]; [None]; [0]
-c1cnc2[nH]c(OC3CCOCC3)cc2n1; [None]; [None]; [0]
-O=C(CCc1cc2nccnc2[nH]1)NCc1ccccn1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cc4nccnc4[nH]3)nn2)cc1; [None]; [None]; [0]
-C[C@@H](Nc1cc2nccnc2[nH]1)C(C)(C)C; [None]; [None]; [0]
-c1cn(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-CCCCc1cc(-c2cc3nccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
-CCc1cc(-c2cc3nccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cc3nccnc3[nH]2)s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3nccnc3[nH]2)s1; [None]; [None]; [0]
-Cc1cncc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
-Nc1nnc(-c2cc3nccnc3[nH]2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2nccnc2[nH]1; ['COc1cccc(F)c1C#N']; ['Cc1cnccn1']; [0.97277]
-NC(=O)N1CCC[C@@H]1c1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3csc(N4CCOCC4)n3)cc2n1; [None]; [None]; [0]
-c1ccc2sc(-c3cc4nccnc4[nH]3)nc2c1; [None]; [None]; [0]
-c1cc(-c2cc3nccnc3[nH]2)c2sccc2c1; [None]; [None]; [0]
-c1cnc2[nH]c(CC3CCOCC3)cc2n1; [None]; [None]; [0]
-Nc1nc(-c2cc3nccnc3[nH]2)nc2ccccc12; [None]; [None]; [0]
-c1ccc2nc(-c3cc4nccnc4[nH]3)ncc2c1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc3nccnc3[nH]2)[nH]1; [None]; [None]; [0]
-c1cnc2c(-c3cc4nccnc4[nH]3)c[nH]c2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc2nccnc2[nH]1; ['COc1ccc(C#N)cc1C#N']; ['Cc1cnccn1']; [0.997015595]
-Cn1cc(-c2cc3nccnc3[nH]2)c(=O)n1C; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3ncc4cc[nH]c4n3)cc2n1; [None]; [None]; [0]
-CC(C)(C)Oc1cc2nccnc2[nH]1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-c1cncc(Cc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc3nccnc3[nH]2)cnn1; [None]; [None]; [0]
-CC(C)(C)CNc1cc2nccnc2[nH]1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc3nccnc3[nH]2)c1; ['Cc1cc(C)cc(C#N)c1']; ['Cc1cnccn1']; [0.997642696]
-N#Cc1ccc(-c2cc3nccnc3[nH]2)cc1; ['Cc1cnccn1']; ['N#Cc1ccc(C#N)cc1']; [0.997056365]
-c1ccc2[nH]c(C3CCN(c4cc5nccnc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cc3nccnc3[nH]2)C1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc4nccnc4[nH]3)CC2)c1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-CCOc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-COc1ncccc1-c1cc2nccnc2[nH]1; ['COc1ncccc1C#N']; ['Cc1cnccn1']; [0.978070199]
-Cn1nncc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-COc1cc(-c2cc3nccnc3[nH]2)cc(OC)c1OC; ['COc1cc(C#N)cc(OC)c1OC']; ['Cc1cnccn1']; [0.998417139]
-COc1ccc(-c2cc3nccnc3[nH]2)cc1; ['COc1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.994578838]
-Cc1nn(C)cc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cc4nccnc4[nH]3)c2c1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3cc4nccnc4[nH]3)nc2c1; [None]; [None]; [0]
-Cc1cc(Nc2cc3nccnc3[nH]2)sn1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3nccnc3[nH]2)c1)C1CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-c1cnc(Nc2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-Fc1cccc(-c2cc3nccnc3[nH]2)c1; ['Cc1cnccn1']; ['N#Cc1cccc(F)c1']; [0.999481261]
-O=C(Nc1ccccc1)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-c1ccc2c(Cc3cc4nccnc4[nH]3)nccc2c1; [None]; [None]; [0]
-O=C(Nc1cc2nccnc2[nH]1)C1CC1; [None]; [None]; [0]
-Clc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-OCCOc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-c1cc(-c2cc3nccnc3[nH]2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-O=C(c1ccc(-c2cc3nccnc3[nH]2)cc1)N1CCOCC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-c1cc(Nc2cc3nccnc3[nH]2)ncn1; [None]; [None]; [0]
-Cc1cc(-c2cc3nccnc3[nH]2)nn1C; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cc3nccnc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
-c1ccc(Cc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CN(C)c1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.996219814]
-FC(F)(F)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['Cc1cnccn1']; ['N#Cc1ccc(C(F)(F)F)cc1']; [0.998191655]
-C[C@H](O)COc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cc2nccnc2[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc2nccnc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cc3nccnc3[nH]2)C1; [None]; [None]; [0]
-Nc1ncc(Cc2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-Clc1ncc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-c1ncc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-c1ncc(Cc2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-Brc1ccc(-c2cc3nccnc3[nH]2)cc1; ['Cc1cnccn1']; ['N#Cc1ccc(Br)cc1']; [0.984242916]
-OC[C@@H](O)Cc1cc2nccnc2[nH]1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc2nccnc2[nH]1; ['COc1ccc(Cl)cc1C#N']; ['Cc1cnccn1']; [0.978930116]
-CCNS(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-COc1ccc(Cc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3nccnc3[nH]2)cc1Cl; [None]; [None]; [0]
-c1c[nH]c(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc3nccnc3[nH]2)cc1Cl; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3ccc4c(c3)CCO4)cc2n1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3cn[nH]c3)cc2n1; ['Cc1cnccn1']; ['N#Cc1cn[nH]c1']; [0.960614145]
-Cc1cc(-c2cc3nccnc3[nH]2)sn1; [None]; [None]; [0]
-c1ccc2cc(-c3cc4nccnc4[nH]3)ncc2c1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cc4nccnc4[nH]3)n[nH]2)cc1; [None]; [None]; [0]
-c1cc2c(c(-c3cc4nccnc4[nH]3)c1)OCO2; [None]; [None]; [0]
-COc1cc(-c2cc3nccnc3[nH]2)ccc1O; [None]; [None]; [0]
-c1cn(Cc2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-Fc1ccc(-c2cc3nccnc3[nH]2)cc1F; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc4nccnc4[nH]3)CC2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CC(C)(C)c1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.997977197]
-c1cnc2[nH]c(-c3scc4c3OCCO4)cc2n1; [None]; [None]; [0]
-c1ccc2ncc(-c3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cc3nccnc3[nH]2)cc1; ['Cc1cnccn1']; ['N#Cc1cccnc1Oc1ccccc1']; [0.995206416]
-CC(C)(C)c1ccc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-CC1(COc2cc3nccnc3[nH]2)COC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc4nccnc4[nH]3)cc2)CC1; [None]; [None]; [0]
-COCCOc1cc2nccnc2[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cc3nccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-Fc1ccc(-c2cc3nccnc3[nH]2)c(Cl)c1; ['Cc1cnccn1']; ['N#Cc1ccc(F)cc1Cl']; [0.995709062]
-CCCCCc1cc2nccnc2[nH]1; [None]; [None]; [0]
-CSc1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-Brc1cnc(-c2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2cc3nccnc3[nH]2)C1; [None]; [None]; [0]
-CC[NH+](CC)c1cc2nccnc2[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc3nccnc3[nH]2)cc1OC; ['COc1ccc(C#N)cc1OC']; ['Cc1cnccn1']; [0.99902463]
-Clc1ccc(-c2cc3nccnc3[nH]2)c(Cl)c1; ['Cc1cnccn1']; ['N#Cc1ccc(Cl)cc1Cl']; [0.998604476]
-CCc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3ccsc3)cc2n1; ['Cc1cnccn1']; ['N#Cc1ccsc1']; [0.992756903]
-c1cc2cnc(-c3cc4nccnc4[nH]3)nn2c1; [None]; [None]; [0]
-COc1cc(-c2cc3nccnc3[nH]2)ccc1N1CCOCC1; ['COc1cc(C#N)ccc1N1CCOCC1']; ['Cc1cnccn1']; [0.999819458]
-COc1ccc(CNc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-Cn1cc(-c2cc3nccnc3[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
-c1cnc2[nH]c(CCCn3cncn3)cc2n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc4nccnc4[nH]3)ccc2O1; [None]; [None]; [0]
-c1ccn2nc(-c3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc4nccnc4[nH]3)c2c1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3ccc(N4CCCCC4)cc3)cc2n1; ['Cc1cnccn1']; ['N#Cc1ccc(N2CCCCC2)cc1']; [0.999874]
-COc1cc(F)c(-c2cc3nccnc3[nH]2)cc1OC; ['COc1cc(F)c(C#N)cc1OC']; ['Cc1cnccn1']; [0.997036934]
-Oc1ccc2cccc(-c3cc4nccnc4[nH]3)c2c1; [None]; [None]; [0]
-COc1cc(-c2cc3nccnc3[nH]2)ccc1Cl; [None]; [None]; [0]
-Clc1cnc(-c2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
-Cc1csc2c(-c3cc4nccnc4[nH]3)ncnc12; [None]; [None]; [0]
-Cc1nc(Nc2cc3nccnc3[nH]2)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2cc3nccnc3[nH]2)nn1C; [None]; [None]; [0]
-c1cc(-c2cc3nccnc3[nH]2)cc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cc3nccnc3[nH]2)o1; [None]; [None]; [0]
-COc1cc(-c2cc3nccnc3[nH]2)c(OC)cc1Br; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-O=C(Nc1cc2nccnc2[nH]1)c1ccco1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc3nccnc3[nH]2)c1; ['COc1cc(C#N)cc(OC)c1']; ['Cc1cnccn1']; [0.989157796]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cc4nccnc4[nH]3)c1)OCOC2; [None]; [None]; [0]
-c1cnc2[nH]c(-c3ccc4cn[nH]c4c3)cc2n1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-CC(C)Oc1cc2nccnc2[nH]1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
-CCn1cc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cc4nccnc4[nH]3)c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-c1ccc2oc(-c3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-Cc1nc(-c2cc3nccnc3[nH]2)c2sccc2n1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3ncc4sccc4n3)cc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-COC(=O)Nc1cc2nccnc2[nH]1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cc3nccnc3[nH]2)cc1; ['Cc1cnccn1']; ['N#Cc1ccc(OC(F)(F)F)cc1']; [0.999906063]
-O=C(Nc1cccc(-c2cc3nccnc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cc4nccnc4[nH]3)ncc2c1; [None]; [None]; [0]
-c1cnc2[nH]c(-c3cscn3)cc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc4nccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-CCc1cccc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3nccnc3[nH]2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cc3nccnc3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cc3nccnc3[nH]2)nc1C; [None]; [None]; [0]
-C[NH+](C)CCCc1cc2nccnc2[nH]1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc4nccnc4[nH]3)ccc12; [None]; [None]; [0]
-OCCc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3nccnc3[nH]2)c(Cl)c1; [None]; [None]; [0]
-FC1(F)CCC(c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3nccnc3[nH]2)c(OC)c1; [None]; [None]; [0]
-c1ccc(Nc2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cc2nccnc2[nH]1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-Fc1ccc(Nc2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3nc4ccccc4s3)CC2)c1; [None]; [None]; [0]
-c1ccc2nc(-c3nc4ccccc4s3)ncc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
-c1ccc2sc(-c3ccc(N4CCOCC4)cc3)nc2c1; ['Brc1ccc(N2CCOCC2)cc1', 'C1COCCN1']; ['c1ccc2scnc2c1', 'Clc1ccc(-c2nc3ccccc3s2)cc1']; [0.999932051, 0.999932051]
-O=C(Nc1cccc(-c2nc3ccccc3s2)c1)C1CC1; ['Nc1cccc(-c2nc3ccccc3s2)c1']; ['O=CC1CC1']; [0.999652147]
-CC(=O)N(C)c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1nc2ccccc2s1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3nc4ccccc4s3)c2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2nc3ccccc3s2)cn1; [None]; [None]; [0]
-c1ccc(-c2nc3ccccc3s2)cc1; ['N#Cc1ccccc1', 'O=Cc1ccccc1']; ['Nc1ccccc1S', 'c1ccc2scnc2c1']; [0.996858954, 0.996858954]
-CC(=O)NCc1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2nc3ccccc3s2)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-c1ccc(Cc2nc3ccccc3s2)cc1; ['Nc1ccccc1S']; ['O=CCc1ccccc1']; [0.998967886]
-C[C@@H](O)COc1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-c1ccc2sc(C3CCCCC3)nc2c1; ['Nc1ccccc1S']; ['O=CC1CCCCC1']; [0.99992]
-O=C(c1ccc(-c2nc3ccccc3s2)nc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1nc2ccccc2s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2nc3ccccc3s2)CC1; ['CS(=O)(=O)Cl']; ['c1ccc2sc(C3CCNCC3)nc2c1']; [0.999975562]
-Nc1ncc(Cc2nc3ccccc3s2)cn1; [None]; [None]; [0]
-c1ccc2sc(Cc3cncnc3)nc2c1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2nc3ccccc3s2)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1nc2ccccc2s1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3ccccc3s2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2nc3ccccc3s2)sn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2nc3ccccc3s2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3nc4ccccc4s3)CC2)c1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3nc4ccccc4s3)n[nH]2)cc1; [None]; [None]; [0]
-c1ccc2sc(-c3cc(N4CCOCC4)ccn3)nc2c1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1nc2ccccc2s1; ['CC(C)(C)NC(N)=O']; ['Clc1nc2ccccc2s1']; [0.9970873]
-[NH3+][C@@H]1CC[C@@H](c2nc3ccccc3s2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1']; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; [0.999953747]
-CC(=O)N[C@@H]1CC[C@@H](c2nc3ccccc3s2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nc3ccccc3s2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2nc3ccccc3s2)c1; ['COc1cccc(C(=O)O)c1', 'COc1cccc(C=O)c1']; ['Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; [0.999972105, 0.999972105]
-COc1cc(N2CCOCC2)ccc1-c1nc2ccccc2s1; [None]; [None]; [0]
-CCCCCc1nc2ccccc2s1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3nc4ccccc4s3)cc2)CC1; [None]; [None]; [0]
-c1ccc2sc(C3CCOCC3)nc2c1; ['CCOC(=O)C1CCOCC1', 'Nc1ccccc1S']; ['Nc1ccccc1S', 'O=C(Cl)C1CCOCC1']; [0.999527097, 0.999527097]
-c1ccc2sc(CCCn3cncn3)nc2c1; ['Nc1ccccc1S']; ['O=C(O)CCCn1cncn1']; [0.999450862]
-CC[NH+](CC)c1nc2ccccc2s1; [None]; [None]; [0]
-c1ccc2sc(-c3ncc4cccn4n3)nc2c1; [None]; [None]; [0]
-c1ccc2sc(-c3cc4ccccn4n3)nc2c1; ['Nc1ccccc1S']; ['O=C(O)c1cc2ccccn2n1']; [0.995259702]
-Clc1cnc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3nc4ccccc4s3)ccc2O1; [None]; [None]; [0]
-COc1cc(-c2nc3ccccc3s2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1ccc2sc(-c3ccc(N4CCCCC4)cc3)nc2c1; ['Brc1ccc(-c2nc3ccccc3s2)cc1']; ['C1CCNCC1']; [0.999606431]
-COc1ccc(OC)c(Cc2nc3ccccc3s2)c1; ['COc1ccc(OC)c(CC#N)c1', 'COc1ccc(OC)c(CC(=O)O)c1']; ['Nc1ccccc1S', 'Nc1ccccc1S']; [0.999944, 0.999944]
-Cc1csc2c(-c3nc4ccccc4s3)ncnc12; [None]; [None]; [0]
-c1cc(-c2nc3ccccc3s2)cc(-n2nccn2)c1; [None]; [None]; [0]
-O=C(Nc1nc2ccccc2s1)c1ccco1; ['Nc1nc2ccccc2s1']; ['O=C(Cl)c1ccco1']; [0.999455273]
-NC(=O)c1ccc(Cc2nc3ccccc3s2)cc1; [None]; [None]; [0]
-Fc1cc2c(c(-c3nc4ccccc4s3)c1)OCOC2; ['Nc1ccccc1S']; ['O=Cc1cc(F)cc2c1OCOC2']; [0.999999523]
-O=S(=O)(CCO)c1ccc(Cc2nc3ccccc3s2)cc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2nc3ccccc3s2)CC1; ['CCN=C=O']; ['c1ccc2sc(C3CCNCC3)nc2c1']; [0.999768913]
-CO[C@@H]1CC[C@@H](c2nc3ccccc3s2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2nc3ccccc3s2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2nc3ccccc3s2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; [0.999981761, 0.999981761]
-COc1ccc2oc(-c3nc4ccccc4s3)cc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3nc4ccccc4s3)c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1nc2ccccc2s1; [None]; [None]; [0]
-c1ccc2sc(-c3ncc4sccc4n3)nc2c1; [None]; [None]; [0]
-Cc1nc(-c2nc3ccccc3s2)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1nc2ccccc2s1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-Clc1ccc2nc(-c3nc4ccccc4s3)ncc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nc3ccccc3s2)c1)N1CCCC1; []; []; []
-FC(F)(F)Oc1nc2ccccc2s1; [None]; [None]; [0]
-COc1ccc2nc(-c3nc4ccccc4s3)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
-Cn1cc(-c2nc3ccccc3s2)c2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nc3ccccc3s2)cc1Cl; [None]; [None]; [0]
-Cn1ncc2cc(-c3nc4ccccc4s3)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3ccccc3s2)cn1; ['CN(C)c1ccc(C(=O)O)cn1']; ['Nc1ccccc1S']; [0.999915361]
-FC1(F)CCC(c2nc3ccccc3s2)CC1; ['Nc1ccccc1S']; ['O=C(O)C1CCC(F)(F)CC1']; [0.997404873]
-Cc1cc(-c2nc3ccccc3s2)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3nc4ccccc4s3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['c1ccc2scnc2c1']; [0.998746276]
-C[NH+](C)CCCc1nc2ccccc2s1; [None]; [None]; [0]
-O=S1(=O)CCC(c2nc3ccccc3s2)CC1; ['Nc1ccccc1S']; ['O=C(O)C1CCS(=O)(=O)CC1']; [0.991794527]
-c1ccc2sc(CC3CCOCC3)nc2c1; ['N#CCC1CCOCC1', 'Nc1ccccc1S', 'BrCC1CCOCC1']; ['Nc1ccccc1S', 'O=C(O)CC1CCOCC1', 'c1ccc2scnc2c1']; [0.999631763, 0.999631763, 0.999631763]
-COc1cc(N2CCC(O)CC2)ccc1-c1nc2ccccc2s1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc3ccccc3s2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3ccccc3s2)c(OC)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1nc2ccccc2s1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1nc2ccccc2s1; [None]; [None]; [0]
-c1ccc(-c2ccc3ccncc3c2)cc1; ['Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2ccccc2)OC1(C)C']; [0.999998569]
-COC(C)(C)CCc1ccc2ccncc2c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1nc2ccccc2s1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-c1cc2ccc(C3CCOCC3)cc2cn1; ['Br[Zn]C1CCOCC1']; ['Brc1ccc2ccncc2c1']; [0.998968124]
-COc1ccc(F)cc1[C@@H](C)c1ccc2ccncc2c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc3ccncc3c2)[nH]1; [None]; [None]; [0]
-Cc1cccc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cccc(B(O)O)c1']; [0.999996305, 0.999996305]
-CC(C)(C)c1nc(-c2ccc3ccncc3c2)cs1; [None]; [None]; [0]
-c1cc2ccc(C3CCCCC3)cc2cn1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-COc1cnc(-c2ccc3ccncc3c2)nc1; ['Brc1ccc2ccncc2c1']; ['COc1cnc(Cl)nc1']; [0.998506069]
-O=C([O-])c1ccccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-c1cc2ccc(CC3CCCCC3)cc2cn1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['Cc1cn2ccccc2n1']; [0.999991894]
-CNc1nc(C)c(-c2ccc3ccncc3c2)s1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ccc3ccncc3c2)CO1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc2ccncc2c1; ['CC(C)C(=O)CBr']; ['Oc1ccc2ccncc2c1']; [0.981045723]
-CCC(C)(C)c1ccc2ccncc2c1; [None]; [None]; [0]
-c1cc2ccc(NCCc3c[nH]cn3)cc2cn1; [None]; [None]; [0]
-CCCCc1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1']; ['CCCC[Mg]Cl']; [0.992660642]
-c1cc(Cn2cncn2)cc(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc2ccncc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc4ccncc4c3)cc2)cn1; [None]; [None]; [0]
-c1ccc(CCNc2ccc3ccncc3c2)cc1; ['Brc1ccc2ccncc2c1']; ['NCCc1ccccc1']; [0.9984079]
-Cn1ncc2cc(-c3ccc4ccncc4c3)ccc21; ['Brc1ccc2ccncc2c1']; ['Cn1ncc2cc(Br)ccc21']; [0.997859299]
-Nc1[nH]nc2cc(-c3ccc4ccncc4c3)ccc12; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3ccncc3c2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc2ccncc2c1; [None]; [None]; [0]
-[NH3+]CCCc1ccc2ccncc2c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc3ccncc3c2)C1; [None]; [None]; [0]
-CSc1nc(-c2ccc3ccncc3c2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4ccncc4c3)cc2s1; [None]; [None]; [0]
-c1cc2ccc(-c3csc4ncncc34)cc2cn1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc2ccncc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ccncc3c2)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc3ccncc3c2)CC1; ['Brc1ccc2ccncc2c1']; ['CS(=O)(=O)C1CCNCC1']; [0.997890055]
-C[C@H](c1ccc2ccncc2c1)C(F)(F)F; [None]; [None]; [0]
-c1ccn2ncc(-c3ccc4ccncc4c3)c2c1; [None]; [None]; [0]
-O=c1cc(-c2ccc3ccncc3c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2ccncc2c1; [None]; [None]; [0]
-O=c1cc(-c2ccc3ccncc3c2)cc[nH]1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccc3ccncc3c2)ccc1Cl; [None]; [None]; [0]
-COc1cc(CCc2ccc3ccncc3c2)cc(OC)c1; [None]; [None]; [0]
-CC1(c2ccc3ccncc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-c1cc2ccc(-c3cnc4[nH]ccc4c3)cc2cn1; ['Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; [0.999999762]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc3ccncc3c2)C1; [None]; [None]; [0]
-c1cc2ccc(-c3ccc(N4CCOCC4)cc3)cc2cn1; ['Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1']; [1.0, 1.0]
-N#CCC[C@@H]1CC[C@@H](c2ccc3ccncc3c2)CC1; [None]; [None]; [0]
-OCCc1cn(-c2ccc3ccncc3c2)cn1; [None]; [None]; [0]
-OCc1ccn(-c2ccc3ccncc3c2)n1; ['Brc1ccc2ccncc2c1']; ['OCc1cc[nH]n1']; [0.999857187]
-Cc1cc(-c2ccc3ccncc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ccc2ccncc2c1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ccc2ccncc2c1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccc2ccncc2c1)C(C)(C)C; ['Brc1ccc2ccncc2c1']; ['C[C@H](N)C(C)(C)C']; [0.996575058]
-c1cc2ccc(-c3ccc(-n4cncn4)cc3)cc2cn1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3ccncc3c2)[nH]1; [None]; [None]; [0]
-c1cc2ccc(-c3nc[nH]n3)cc2cn1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc2ccncc2c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2ccncc2c1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-c1cc2ccc(-c3nncn3C3CC3)cc2cn1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2ccncc2c1)C(C)(C)C; [None]; [None]; [0]
-O=C(CCc1ccc2ccncc2c1)NCc1ccccn1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4ccncc4c3)nn2)cc1; [None]; [None]; [0]
-CCCCc1cc(-c2ccc3ccncc3c2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3ccncc3c2)s1; ['Brc1ccc2ccncc2c1']; ['CNC(=O)c1ccc(Br)s1']; [0.999098063]
-CCc1cc(-c2ccc3ccncc3c2)nc(N)n1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccc2ccncc2c1; [None]; [None]; [0]
-c1cc2ccc(CC3CCOCC3)cc2cn1; [None]; [None]; [0]
-c1ccc2nc(-c3ccc4ccncc4c3)ncc2c1; [None]; [None]; [0]
-c1cc2ccc(-c3csc(N4CCOCC4)n3)cc2cn1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ccncc3c2)c(=O)n1C; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc3ccncc3c2)[nH]1; [None]; [None]; [0]
-c1cc2ccc(-c3ncc4cc[nH]c4n3)cc2cn1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ccc3ccncc3c2)CC1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2ccc3ccncc3c2)cn1; [None]; [None]; [0]
-Clc1cncc(-c2ccccc2)c1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc3ccncc3c2)cnn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc2ccncc2c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cncc(Cl)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cncc(Cl)c2)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1cncc(Cl)c1; [None]; [None]; [0]
-Clc1cncc(C2CCOCC2)c1; ['Clc1cncc(Br)c1']; ['IC1CCOCC1']; [0.999881387]
-CP(C)(=O)c1ccccc1-c1cncc(Cl)c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cncc(Cl)c1; [None]; [None]; [0]
-Cc1cccc(-c2cncc(Cl)c2)c1; ['Cc1cccc(I)c1', 'Cc1cccc([Mg]Br)c1']; ['Clc1cncc(Br)c1', 'Clc1cncc(Br)c1']; [0.998097122, 0.998097122]
-CC(C)(C)c1nc(-c2cncc(Cl)c2)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cncc(Cl)c1; [None]; [None]; [0]
-Clc1cncc(C2CCCCC2)c1; ['BrC1CCCCC1']; ['Clc1cncc(Br)c1']; [0.99956125]
-COc1cnc(-c2cncc(Cl)c2)nc1; [None]; [None]; [0]
-Clc1cncc(CC2CCCCC2)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cncc(Cl)c1; ['Cc1cn2ccccc2n1']; ['Clc1cncc(Br)c1']; [0.999977231]
-OC[C@@H]1CC[C@@H](c2cncc(Cl)c2)CO1; [None]; [None]; [0]
-CC(C)C(=O)COc1cncc(Cl)c1; ['CC(C)C(=O)CBr']; ['Oc1cncc(Cl)c1']; [0.998470724]
-CNc1nc(C)c(-c2cncc(Cl)c2)s1; [None]; [None]; [0]
-Clc1cncc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
-Clc1cncc(NCCc2c[nH]cn2)c1; ['Clc1cncc(Br)c1', 'Fc1cncc(Cl)c1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.99943608, 0.99943608]
-CCC(C)(C)c1cncc(Cl)c1; [None]; [None]; [0]
-CCCCc1cncc(Cl)c1; ['CCCC[Mg]Br']; ['Clc1cncc(Cl)c1']; [0.891314924]
-COC(=O)[C@@H](N)Cc1cncc(Cl)c1; [None]; [None]; [0]
-Clc1cncc(NCCc2ccccc2)c1; ['Clc1cncc(Br)c1', 'BrCCc1ccccc1']; ['NCCc1ccccc1', 'Nc1cncc(Cl)c1']; [0.999116, 0.999116]
-O=C([O-])Cc1cccc(-c2cncc(Cl)c2)c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cncc(Cl)c3)ccc21; ['Clc1cncc(Br)c1', 'Cn1ncc2cc(Br)ccc21']; ['Cn1ncc2cc(B(O)O)ccc21', 'OB(O)c1cncc(Cl)c1']; [0.999997139, 0.999997139]
-Nc1[nH]nc2cc(-c3cncc(Cl)c3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cncc(Cl)c3)cc2)cn1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cncc(Cl)c1; [None]; [None]; [0]
-[NH3+]CCCc1cncc(Cl)c1; [None]; [None]; [0]
-CSc1nc(-c2cncc(Cl)c2)c[nH]1; [None]; [None]; [0]
-CCCn1cnc(-c2cncc(Cl)c2)n1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cncc(Cl)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cncc(Cl)c3)cc2s1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cncc(Cl)c2)C1; [None]; [None]; [0]
-FC(F)(F)Oc1cncc(Cl)c1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cncc(Cl)c2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1cncc(Cl)c1']; [0.997090578]
-C[C@H](c1cncc(Cl)c1)C(F)(F)F; [None]; [None]; [0]
-Clc1cncc(-c2csc3ncncc23)c1; [None]; [None]; [0]
-O=c1cc(-c2cncc(Cl)c2)cc[nH]1; [None]; [None]; [0]
-O=c1cc(-c2cncc(Cl)c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-Cn1cc(-c2cncc(Cl)c2)c2ccccc21; [None]; [None]; [0]
-COc1cc(CCc2cncc(Cl)c2)cc(OC)c1; [None]; [None]; [0]
-Clc1cncc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cncc(Cl)c2)ccc1Cl; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cncc(Cl)c1; ['CC(C)(C)N=C=O']; ['Nc1cncc(Cl)c1']; [0.999542236]
-Clc1cncc(-c2cnc3[nH]ccc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.999998927, 0.999998927, 0.999998927]
-CC1(c2cncc(Cl)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Clc1cncc(-c2ccc(N3CCOCC3)cc2)c1; ['Brc1ccc(N2CCOCC2)cc1']; ['OB(O)c1cncc(Cl)c1']; [0.999980092]
-N#CCC[C@@H]1CC[C@@H](c2cncc(Cl)c2)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cncc(Cl)c1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cncc(Cl)c2)C1; [None]; [None]; [0]
-OCc1ccn(-c2cncc(Cl)c2)n1; ['Clc1cncc(Br)c1']; ['OCc1cc[nH]n1']; [0.999379516]
-OCCc1cn(-c2cncc(Cl)c2)cn1; [None]; [None]; [0]
-C[C@@H](Nc1cncc(Cl)c1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cncc(Cl)c1)C(C)(C)O; [None]; [None]; [0]
-Cc1cc(-c2cncc(Cl)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1cncc(Cl)c1)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Fc1cncc(Cl)c1']; [0.966243804]
-CSc1nc(C)c(-c2cncc(Cl)c2)[nH]1; [None]; [None]; [0]
-Clc1cncc(-c2nc[nH]n2)c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cncc(Cl)c1; ['Cc1nc[nH]c1Br']; ['OB(O)c1cncc(Cl)c1']; [0.996320844]
-Clc1cncc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cncc(Cl)c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cncc(Cl)c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cncc(Cl)c1; [None]; [None]; [0]
-O=C(CCc1cncc(Cl)c1)NCc1ccccn1; [None]; [None]; [0]
-Clc1cncc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
-Cn1cnnc1-c1cncc(Cl)c1; [None]; [None]; [0]
-CCc1cc(-c2cncc(Cl)c2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['OB(O)c1cncc(Cl)c1']; [0.998995721]
-C[C@@H](Nc1cncc(Cl)c1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Fc1cncc(Cl)c1']; [0.966243804]
-Clc1cncc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cncc(Cl)c2)s1; ['CNC(=O)c1ccc(Br)s1']; ['OB(O)c1cncc(Cl)c1']; [0.999943]
-Clc1cncc(-c2csc(N3CCOCC3)n2)c1; [None]; [None]; [0]
-CCCCc1cc(-c2cncc(Cl)c2)nc(N)n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cncc(Cl)c2)[nH]1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cncc(Cl)c1; [None]; [None]; [0]
-Clc1cncc(CC2CCOCC2)c1; [None]; [None]; [0]
-Clc1cncc(-c2ncc3ccccc3n2)c1; ['NCc1ccccc1N', 'Clc1ncc2ccccc2n1']; ['O=Cc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1']; [0.998261154, 0.998261154]
-Cn1cc(-c2cncc(Cl)c2)c(=O)n1C; [None]; [None]; [0]
-Clc1cncc(-c2cnccc2N2CCOCC2)c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cncc(Cl)c2)CC1; [None]; [None]; [0]
-Nc1ncc(-c2ccccc2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OB(O)c1ccccc1']; [0.997515678]
-Clc1cncc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cncc(Cl)c1; [None]; [None]; [0]
-CN(C)c1cc(-c2cncc(Cl)c2)cnn1; [None]; [None]; [0]
-COC(C)(C)CCc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cnc(N)c(Cl)c2)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Cc1cccc(-c2cnc(N)c(Cl)c2)c1; ['Cc1cccc(B(O)O)c1']; ['Nc1ncc(Br)cc1Cl']; [0.998030961]
-Nc1ncc(C2CCOCC2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2ccccc2C(=O)[O-])cc1Cl; [None]; [None]; [0]
-Nc1ncc(C2CCCCC2)cc1Cl; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cnc(N)c(Cl)c2)cs1; [None]; [None]; [0]
-Nc1ncc(CC2CCCCC2)cc1Cl; ['Br[Zn]CC1CCCCC1']; ['Nc1ncc(Br)cc1Cl']; [0.997979343]
-Nc1ncc([C@@H]2CC[C@@H](CO)OC2)cc1Cl; [None]; [None]; [0]
-COc1cnc(-c2cnc(N)c(Cl)c2)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cnc(N)c(Cl)c2)s1; [None]; [None]; [0]
-Nc1ncc(NCCc2c[nH]cn2)cc1Cl; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.993856966, 0.993856966]
-Cc1nc2ccccn2c1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(Cn3cncn3)c2)cc1Cl; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(NCCc2ccccc2)cc1Cl; ['NCCc1ccccc1']; ['Nc1ncc(Br)cc1Cl']; [0.952917397]
-CCCCc1cnc(N)c(Cl)c1; ['CCCC[Mg]Br']; ['Nc1ncc(Br)cc1Cl']; [0.954527497]
-CCC(C)(C)c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc(N)c(Cl)c3)ccc21; ['Cn1ncc2cc(Br)ccc21']; ['Nc1ncc(Br)cc1Cl']; [0.975232065]
-Nc1ncc(-c2cccc(CC(=O)[O-])c2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(N)[nH]nc3c2)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cnc(N)c(Cl)c3)cc2)cn1; [None]; [None]; [0]
-Nc1ncc(CCC[NH3+])cc1Cl; [None]; [None]; [0]
-CCCn1cnc(-c2cnc(N)c(Cl)c2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc([C@@H]2CCC[C@H]([NH3+])C2)cc1Cl; [None]; [None]; [0]
-CC(C)c1oncc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-CSc1nc(-c2cnc(N)c(Cl)c2)c[nH]1; [None]; [None]; [0]
-Nc1ncc(-c2csc3ncncc23)cc1Cl; [None]; [None]; [0]
-Nc1ncc(OC(F)(F)F)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(Cl)c2)c2ccccc21; [None]; [None]; [0]
-Nc1ncc(-c2cnn3ccccc23)cc1Cl; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cnc(N)c(Cl)c3)cc2s1; [None]; [None]; [0]
-C[C@H](c1cnc(N)c(Cl)c1)C(F)(F)F; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cnc(N)c(Cl)c2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Nc1ncc(Br)cc1Cl']; [0.999838948]
-CC(C)(C)NC(=O)Nc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(-c2ccn([C@@H2]CO)c(=O)c2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2cc[nH]c(=O)c2)cc1Cl; [None]; [None]; [0]
-COc1cc(CCc2cnc(N)c(Cl)c2)cc(OC)c1; ['COc1cc(CBr)cc(OC)c1']; ['Cc1cnc(N)c(Cl)c1']; [0.765033901]
-Nc1ncc(-c2ccc(Cl)c(C(=O)[O-])c2)cc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(-c2cnc3[nH]ccc3c2)cc1Cl; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Nc1ncc(Br)cc1Cl']; [0.999998331]
-Nc1ncc([C@@H]2CC[C@@H](NC(=O)O)C2)cc1Cl; [None]; [None]; [0]
-CC1(c2cnc(N)c(Cl)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(N3CCOCC3)cc2)cc1Cl; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; ['Nc1ncc(Br)cc1Cl', 'OB(O)c1ccc(N2CCOCC2)cc1']; [1.0, 1.0]
-N#CCC[C@@H]1CC[C@@H](c2cnc(N)c(Cl)c2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(Cl)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Nc1ncc(-n2cnc(CCO)c2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-n2ccc(CO)n2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OCc1cc[nH]n1']; [0.97545433]
-C[C@H](Nc1cnc(N)c(Cl)c1)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Nc1ncc(Br)cc1Cl']; [0.958149433]
-C[C@@H](Nc1cnc(N)c(Cl)c1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cnc(N)c(Cl)c1)C(C)(C)O; [None]; [None]; [0]
-CSc1nc(C)c(-c2cnc(N)c(Cl)c2)[nH]1; [None]; [None]; [0]
-Nc1ncc(-c2nc[nH]n2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2ccc(-n3cncn3)cc2)cc1Cl; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(-c2nncn2C2CC2)cc1Cl; [None]; [None]; [0]
-Cn1cnnc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-C[C@@H](Nc1cnc(N)c(Cl)c1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Nc1ncc(Br)cc1Cl']; [0.958149433]
-C[C@H](CO)n1cnnc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(CCC(=O)NCc2ccccn2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2cn(Cc3ccccc3)nn2)cc1Cl; [None]; [None]; [0]
-CCCCc1cc(-c2cnc(N)c(Cl)c2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc(N)c(Cl)c2)s1; [None]; [None]; [0]
-CCc1cc(-c2cnc(N)c(Cl)c2)nc(N)n1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(-c2csc(N3CCOCC3)n2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(CC2CCOCC2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2ncc3ccccc3n2)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(Cl)c2)c(=O)n1C; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cnc(N)c(Cl)c2)[nH]1; [None]; [None]; [0]
-Nc1ncc(-c2ncc3cc[nH]c3n2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(O[C@@H]2CC[C@H](O)CC2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2cnccc2N2CCOCC2)cc1Cl; [None]; [None]; [0]
-c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-CN(C)c1cc(-c2cnc(N)c(Cl)c2)cnn1; [None]; [None]; [0]
-Cn1c(-c2cncc3cccnc23)nc2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Cc1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cncc2cccnc12; [None]; [None]; [0]
-Clc1[nH]ncc1-c1cncc2cccnc12; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cncc3cccnc23)c(F)c1; [None]; [None]; [0]
-Clc1ccc(CCc2cncc3cccnc23)cc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cncc2cccnc12; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cncc3cccnc13)OCO2; [None]; [None]; [0]
-COCCCc1cncc2cccnc12; [None]; [None]; [0]
-NC(=O)c1cc(-c2cncc3cccnc23)c[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cncc4cccnc34)ccc12; [None]; [None]; [0]
-Cc1nnc(-c2cncc3cccnc23)o1; [None]; [None]; [0]
-c1cnc2c(-c3nnco3)cncc2c1; [None]; [None]; [0]
-CNc1nccc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
-c1cnc2c(-c3cnc4[nH]ccc4c3)cncc2c1; [None]; [None]; [0]
-c1cnc2c(C3CCOCC3)cncc2c1; [None]; [None]; [0]
-Fc1cnc(-c2cncc3cccnc23)nc1; [None]; [None]; [0]
-Brc1ccc(-c2cncc3cccnc23)o1; [None]; [None]; [0]
-c1cnc2c(-c3nncs3)cncc2c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cncc2cccnc12; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cncc2cccnc12; [None]; [None]; [0]
-Nc1cc(-c2cncc3cccnc23)n[nH]1; [None]; [None]; [0]
-[O-]c1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cncc3cccnc23)c1C; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cncc4cccnc34)c2c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-Cc1cc(-c2cncc3cccnc23)ccc1C(N)=O; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(CCc3c[nH]c4ccccc34)cncc2c1; [None]; [None]; [0]
-c1ccc2c(COc3cncc4cccnc34)cccc2c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2cncc3cccnc23)cc1; [None]; [None]; [0]
-Fc1ccc(COc2cncc3cccnc23)c(F)c1; [None]; [None]; [0]
-Fc1ccc(CCc2cncc3cccnc23)c(F)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cncc3cccnc23)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1cncc2cccnc12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cncc2cccnc12; [None]; [None]; [0]
-Cc1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cncc3cccnc23)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(C3CCCCC3)cncc2c1; [None]; [None]; [0]
-COc1cnc(-c2cncc3cccnc23)nc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cncc3cccnc23)CO1; [None]; [None]; [0]
-c1cnc2c(CC3CCCCC3)cncc2c1; [None]; [None]; [0]
-CC(C)C(=O)COc1cncc2cccnc12; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cncc2cccnc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2cncc3cccnc23)s1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-CCC(C)(C)c1cncc2cccnc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(NCCc3c[nH]cn3)cncc2c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
-CCCCc1cncc2cccnc12; [None]; [None]; [0]
-c1ccc(CCNc2cncc3cccnc23)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cncc4cccnc34)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cncc4cccnc34)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-c3cncc4cccnc34)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cncc2cccnc12; [None]; [None]; [0]
-[NH3+]CCCc1cncc2cccnc12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cncc3cccnc23)C1; [None]; [None]; [0]
-CSc1nc(-c2cncc3cccnc23)c[nH]1; [None]; [None]; [0]
-c1cnc2c(-c3csc4ncncc34)cncc2c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cncc2cccnc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cncc4cccnc34)cc2s1; [None]; [None]; [0]
-Cn1cc(-c2cncc3cccnc23)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cncc3cccnc23)CC1; [None]; [None]; [0]
-FC(F)(F)Oc1cncc2cccnc12; [None]; [None]; [0]
-O=c1cc(-c2cncc3cccnc23)cc[nH]1; [None]; [None]; [0]
-c1cnc2c(-c3cnn4ccccc34)cncc2c1; [None]; [None]; [0]
-C[C@H](c1cncc2cccnc12)C(F)(F)F; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cncc2cccnc12; [None]; [None]; [0]
-COc1cc(CCc2cncc3cccnc23)cc(OC)c1; [None]; [None]; [0]
-O=c1cc(-c2cncc3cccnc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cncc2cccnc12; [None]; [None]; [0]
-CC1(c2cncc3cccnc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cncc3cccnc23)ccc1Cl; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cncc3cccnc23)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cncc3cccnc23)C1; [None]; [None]; [0]
-c1cnc2c(-c3ccc(N4CCOCC4)cc3)cncc2c1; [None]; [None]; [0]
-OCc1ccn(-c2cncc3cccnc23)n1; [None]; [None]; [0]
-Cc1cc(-c2cncc3cccnc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCCc1cn(-c2cncc3cccnc23)cn1; [None]; [None]; [0]
-C[C@H](Nc1cncc2cccnc12)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cncc2cccnc12)C(C)(C)C; [None]; [None]; [0]
-c1cnc2c(-c3ccc(-n4cncn4)cc3)cncc2c1; [None]; [None]; [0]
-C[C@@H](Nc1cncc2cccnc12)C(C)(C)O; [None]; [None]; [0]
-c1cnc2c(-c3nc[nH]n3)cncc2c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cncc2cccnc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2cncc3cccnc23)[nH]1; [None]; [None]; [0]
-Cn1cnnc1-c1cncc2cccnc12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cncc2cccnc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cncc2cccnc12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cncc2cccnc12; [None]; [None]; [0]
-C[C@@H](Nc1cncc2cccnc12)C(C)(C)C; [None]; [None]; [0]
-c1cnc2c(-c3nncn3C3CC3)cncc2c1; [None]; [None]; [0]
-O=C(CCc1cncc2cccnc12)NCc1ccccn1; [None]; [None]; [0]
-CCCCc1cc(-c2cncc3cccnc23)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cncc4cccnc34)nn2)cc1; [None]; [None]; [0]
-CCc1cc(-c2cncc3cccnc23)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cncc3cccnc23)s1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cncc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3csc(N4CCOCC4)n3)cncc2c1; [None]; [None]; [0]
-c1cnc2c(CC3CCOCC3)cncc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cncc3cccnc23)[nH]1; [None]; [None]; [0]
-c1ccc2nc(-c3cncc4cccnc34)ncc2c1; [None]; [None]; [0]
-c1cnc2c(-c3cnccc3N3CCOCC3)cncc2c1; [None]; [None]; [0]
-Cn1cc(-c2cncc3cccnc23)c(=O)n1C; [None]; [None]; [0]
-c1cnc2c(-c3ncc4cc[nH]c4n3)cncc2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cncc2cccnc12; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cncc3cccnc23)CC1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CN(C)c1cc(-c2cncc3cccnc23)cnn1; [None]; [None]; [0]
-N#Cc1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc(N)[nH]n3)CC2)c1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ncc3ccccc3n2)n[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc(N)[nH]n2)c1; [None]; [None]; [0]
-COc1ncccc1-c1cc(N)[nH]n1; ['COc1ncccc1B(O)O']; ['Nc1cc(Br)n[nH]1']; [0.979803264]
-Cn1nncc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-COc1cc(-c2cc(N)[nH]n2)cc(OC)c1OC; [None]; [None]; [0]
-Nc1cc(-c2cccc(O)c2)n[nH]1; []; []; []
-Cc1nn(C)cc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)C3CC3)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cnc3cccnn23)n[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)[nH]n2)cc1; ['COc1ccc(B(O)O)cc1']; ['Nc1cc(Br)n[nH]1']; [0.999920368]
-Nc1cc(-c2ccc(N3CCOCC3)cc2)n[nH]1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'C1COCCN1']; ['Nc1cc(Br)n[nH]1', 'Nc1cc(-c2ccc(Br)cc2)n[nH]1']; [0.999999881, 0.999999881]
-CS(=O)(=O)Nc1ccc(-c2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccccc2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1ccccc1']; [0.999962926]
-Nc1cc(-c2nc3ccccc3[nH]2)n[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(N)[nH]n2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C']; ['Nc1cc(Br)n[nH]1']; [0.999999404]
-Nc1cc(Nc2ncccn2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)[O-])cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(Cc2nccc3ccccc23)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cccc(F)c2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1cccc(F)c1']; [0.999793351]
-Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCCO)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(OCCO)cc2)n[nH]1; ['Nc1cc(-c2ccc(F)cc2)n[nH]1']; ['OCCO']; [0.890643537]
-Nc1cc(-c2cccc(C3CCNCC3)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.999998927]
-Nc1cc(-c2ccc(Cl)cc2)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)[nH]n2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(F)(F)F)cc2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.999995232]
-CNS(=O)(=O)c1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)n[nH]1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc(N)[nH]n2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1cc(Br)n[nH]1']; [0.999999404]
-Cc1nc(C)c(-c2cc(N)[nH]n2)s1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)[nH]n2)cc1; ['CN(C)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)n[nH]1']; [0.999976754]
-Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)n[nH]1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-Nc1cc(C2CCCCC2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cncnc2)n[nH]1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Br)cc2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1ccc(Br)cc1']; [0.99914217]
-Nc1cc(-c2cnc(Cl)nc2)n[nH]1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)[nH]n2)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cn[nH]c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc(N)[nH]n1; ['COc1ccc(Cl)cc1B(O)O']; ['Nc1cc(Br)n[nH]1']; [0.997795582]
-Cc1cc(-c2cc(N)[nH]n2)sn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(N)[nH]n2)cc1Cl; [None]; [None]; [0]
-Nc1cc(-c2ccc[nH]2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CCO3)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccc3cn2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cc(N3CCOCC3)ccn2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(N)[nH]n2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1cc(Br)n[nH]1']; [0.99999392]
-COc1cccc(C(=O)N2CCC(c3cc(N)[nH]n3)CC2)c1; [None]; [None]; [0]
-Nc1cc(-c2cc(-c3ccccc3)[nH]n2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cccc3c2OCO3)n[nH]1; [None]; [None]; [0]
-COc1cc(-c2cc(N)[nH]n2)ccc1O; [None]; [None]; [0]
-Nc1cc(-c2scc3c2OCCO3)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)c(F)c2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1ccc(F)c(F)c1']; [0.999990821]
-Nc1cc(-c2cnc3ccccc3c2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1cnc2ccccc2c1']; [0.999789178]
-Nc1cc([C@@H]2CC[C@@H]([NH3+])CC2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cccnc2Oc2ccccc2)n[nH]1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)[nH]n2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1cc(Br)n[nH]1']; [0.999999762]
-CC(C)(C)c1ccc(-c2cc(N)[nH]n2)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)n[nH]1']; [0.99999392]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-COCCc1cc(N)[nH]n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)[nH]n2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cc(N)[nH]n2)c1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc(N)[nH]n2)c1; [None]; [None]; [0]
-Nc1cc(C2CCOCC2)n[nH]1; [None]; [None]; [0]
-CC[C@@H](CO)c1cc(N)[nH]n1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(N)[nH]n3)cc2)CC1; [None]; [None]; [0]
-Nc1cc([C@@H]2CC[C@@H](O)CC2)n[nH]1; [None]; [None]; [0]
-Nc1cc([C@H]2CC[C@@H](O)C2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ncc(Br)cn2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)cc2Cl)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1ccc(F)cc1Cl']; [0.999137402]
-CCc1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Cl)cc2Cl)n[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)[nH]n2)cc1OC; [None]; [None]; [0]
-Nc1cc(-c2ncc3cccn3n2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccsc2)n[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)[nH]n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(-c2cc(N)[nH]n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc(N)[nH]n2)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Nc1cc(Br)n[nH]1']; [0.999929667]
-Nc1cc(-c2ccc(N3CCCCC3)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccn3n2)n[nH]1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc(N)[nH]n3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(N)[nH]n2)cc1OC; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc(N)[nH]n3)ccc2O1; [None]; [None]; [0]
-COc1cc(-c2cc(N)[nH]n2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['Nc1cc(Br)n[nH]1']; [0.999937773]
-Nc1cc(-c2cccc3ccc(O)cc23)n[nH]1; [None]; [None]; [0]
-Cc1csc2c(-c3cc(N)[nH]n3)ncnc12; [None]; [None]; [0]
-COc1cc(-c2cc(N)[nH]n2)c(OC)cc1Br; []; []; []
-Nc1cc(-c2cccc(-n3nccn3)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ncc(Cl)cn2)n[nH]1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-Nc1cc(-c2cc(F)cc3c2OCOC3)n[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)[nH]n2)o1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(N)[nH]n3)cc2c1; [None]; [None]; [0]
-Nc1cc(-c2ccc3cn[nH]c3c2)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc(N)[nH]n2)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(N)[nH]n2)c1; [None]; [None]; [0]
-Nc1cc(-c2cc(-c3cccnc3)ccn2)n[nH]1; [None]; [None]; [0]
-Cc1nc(-c2cc(N)[nH]n2)c2sccc2n1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)[nH]n2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1cc(Br)n[nH]1']; [0.999999523]
-Nc1cc(-c2ncc3cc(Cl)ccc3n2)n[nH]1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccc3o2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)n[nH]1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(N)[nH]n3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Cc1cc(N)[nH]n1']; [0.835859418]
-Nc1cc(-c2ncc3sccc3n2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cscn2)n[nH]1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)[O-])c(Cl)c2)n[nH]1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc(N)[nH]n2)n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(OC(F)(F)F)cc2)n[nH]1; [None]; [None]; [0]
-CCc1cccc(-c2cc(N)[nH]n2)n1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)[nH]n2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1cc(-c2cc(N)[nH]n2)c2ccccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)[nH]n2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Nc1cc(Br)n[nH]1']; [0.999901414]
-Cc1ccc(-c2cc(N)[nH]n2)nc1C; [None]; [None]; [0]
-Nc1cc(-c2cccc(N3CCCC3=O)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(C2CCC(F)(F)CC2)n[nH]1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc(N)[nH]n3)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(CCO)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(C2CCS(=O)(=O)CC2)n[nH]1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)[nH]n2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc(N)[nH]n2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)[nH]n2)c(OC)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc(N)[nH]n2)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(O)cc2)n[nH]1; []; []; []
-Nc1cc(-c2ccncc2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1ccncc1']; [0.999753177]
-Nc1cc(-c2cccc3ncccc23)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1cccc2ncccc12']; [0.999920964]
-Nc1cc(-c2ccc(Cl)c(O)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2n[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2c(F)cccc2F)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1c(F)cccc1F']; [0.998699069]
-Cn1c(-c2cc(N)[nH]n2)nc2ccccc21; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cc(N)[nH]n1; ['Cc1cc(F)ccc1B(O)O']; ['Nc1cc(Br)n[nH]1']; [0.998615861]
-Cc1ccccc1-c1cc(N)[nH]n1; ['Cc1ccccc1B(O)O']; ['Nc1cc(Br)n[nH]1']; [0.997694314]
-Nc1cc(-c2c(Cl)cccc2Cl)n[nH]1; [None]; [None]; [0]
-Nc1cc(Oc2ccc(F)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(O)cc2Cl)n[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(N)[nH]n2)c(F)c1; [None]; [None]; [0]
-Cc1ncc(-c2cc(N)[nH]n2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2cc(N)[nH]n2)n1; [None]; [None]; [0]
-Nc1cc(-c2ccccc2Cl)n[nH]1; [None]; [None]; [0]
-Nc1cc([C@@H]2C[C@H](O)C2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cn[nH]c2Cl)n[nH]1; [None]; [None]; [0]
-N#Cc1cnc(-c2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-Nc1cc(-c2cc[nH]c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cnccn2)n[nH]1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cc(N)[nH]n2)o1; [None]; [None]; [0]
-N#Cc1ccc(-c2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccoc2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1ccoc1']; [0.999895692]
-Nc1cc(COc2cccc(Cl)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-n2ccc(CC(=O)[O-])c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cccc(Br)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cccs2)n[nH]1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cc(N)[nH]n2)c1; [None]; [None]; [0]
-Nc1cc(-c2ccc(O)cc2O)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)c(Cl)c2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1ccc(F)c(Cl)c1']; [0.999976754]
-Nc1cc(-c2ccncn2)n[nH]1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cc(N)[nH]n1; ['Cc1ccc2[nH]ncc2c1B(O)O']; ['Nc1cc(Br)n[nH]1']; [0.998413324]
-Nc1cc(COc2ccccc2Cl)n[nH]1; [None]; [None]; [0]
-Nc1cc([C@H](CO)c2ccccc2)n[nH]1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2c(Cl)ccc3c2OCO3)n[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)[nH]n2)cc1C; ['Cc1ccc(B(O)O)cc1C']; ['Nc1cc(Br)n[nH]1']; [0.999971151]
-Nc1cc(-c2cc(O)ccc2Cl)n[nH]1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cc(N)[nH]n2)c[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cnc(O)c(Cl)c2)n[nH]1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-COCCCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(Cn2ccccc2=O)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cc(N)[nH]n3)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc(N)[nH]n3)cc2[nH]1; [None]; [None]; [0]
-Nc1cc(-c2nnco2)n[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2cc(N)[nH]n2)o1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cnc3[nH]ccc3c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2nc3ccccc3s2)n[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cncc(O)c2)n[nH]1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CC(=O)N3)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ncc(F)cn2)n[nH]1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-CNc1nccc(-c2cc(N)[nH]n2)n1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cc(N)[nH]n1; []; []; []
-Nc1cc(-c2ccc(Br)o2)n[nH]1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-n2ccnc2)n[nH]1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cc(Cl)c(O)c(Cl)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2nccs2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cc(N)[nH]n2)n[nH]1; [None]; [None]; [0]
-CCc1sccc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2nncs2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CCN3)n[nH]1; [None]; [None]; [0]
-Nc1cc(Nc2ccncc2)n[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cccc([O-])c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2[nH]nc3ccc(F)cc23)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Br)cc2F)n[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)[nH]n2)c(C)n1; [None]; [None]; [0]
-Cc1csc(-c2cc(N)[nH]n2)n1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cc(N)[nH]n2)c1C; [None]; [None]; [0]
-Nc1cc(-c2cnco2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)NC3CC3)cc2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999988794]
-Nc1cc(-c2cc(F)c(O)c(F)c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cc(O)cc(Br)c2)n[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc(N)[nH]n3)cc2o1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)[nH]n2)ccc1C(N)=O; [None]; [None]; [0]
-Nc1cc(OCc2ccccc2)n[nH]1; ['BrCc1ccccc1']; ['Nc1cc(O)n[nH]1']; [0.990327299]
-Nc1cc(-c2[nH]cnc2-c2ccc(F)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(=O)[nH][nH]c3c2)n[nH]1; [None]; [None]; [0]
-Nc1cc(Oc2ccc(F)cc2F)n[nH]1; [None]; [None]; [0]
-Nc1cc(OCc2cccc3ccccc23)n[nH]1; [None]; [None]; [0]
-Nc1cc(Oc2ccccc2F)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(OCc2ccc(F)cc2F)n[nH]1; ['Nc1cc(O)n[nH]1', 'Fc1ccc(CBr)c(F)c1']; ['OCc1ccc(F)cc1F', 'Nc1cc(O)n[nH]1']; [0.9995597, 0.9995597]
-Cc1onc(-c2ccccc2)c1-c1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(NCc2c(F)cccc2Cl)n[nH]1; ['NCc1c(F)cccc1Cl']; ['Nc1cc(Br)n[nH]1']; [0.999902487]
-Nc1cc(CCc2ccc(F)cc2F)n[nH]1; [None]; [None]; [0]
-Nc1cc(Cc2ccc(F)cc2)n[nH]1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc4ccccc4[nH]c3=O)CC2)c1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3ccccc3[nH]c2=O)c1)C1CC1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cc4ccccc4[nH]c3=O)c2c1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-n1ncc2ccccc2c1=O; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc3ccccc3[nH]c2=O)cn1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccccc1; []; []; []
-CC(=O)NCc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cc3ccccc3[nH]c2=O)cc1)N1CCOCC1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Cc1ccccc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cc3ccccc3[nH]c2=O)nc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1C1CCCCC1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Cc1cncnc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2cc3ccccc3[nH]c2=O)cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc3ccccc3[nH]c2=O)CC1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc3ccccc3[nH]c2=O)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cc3ccccc3[nH]c2=O)C1; [None]; [None]; [0]
-Cc1cc(-c2cc3ccccc3[nH]c2=O)sn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1Cl; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc4ccccc4[nH]c3=O)CC2)c1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cc3ccccc3[nH]c2=O)CC1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc3ccccc3[nH]c2=O)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc4ccccc4[nH]c3=O)cc2)CC1; [None]; [None]; [0]
-CCCCCc1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1C1CCOCC1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1CCCn1cncn1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ncc2cccn2n1; [None]; [None]; [0]
-CC[NH+](CC)c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cc2ccccn2n1; [None]; [None]; [0]
-COc1cc(-c2cc3ccccc3[nH]c2=O)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc4ccccc4[nH]c3=O)ccc2O1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ncc(Cl)cn1; [None]; [None]; [0]
-Cc1csc2c(-c3cc4ccccc4[nH]c3=O)ncnc12; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
-O=C(Nc1cc2ccccc2[nH]c1=O)c1ccco1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc3ccccc3[nH]c2=O)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc3ccccc3[nH]c2=O)CC1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc3ccccc3[nH]c2=O)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc4ccccc4[nH]c3=O)cc2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ncc2sccc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-Cc1nc(-c2cc3ccccc3[nH]c2=O)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc4ccccc4[nH]c3=O)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=Cc1cc2ccccc2[nH]c1=O']; [0.997671664]
-O=C(Nc1cccc(-c2cc3ccccc3[nH]c2=O)c1)N1CCCC1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1OC(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2cc3ccccc3[nH]c2=O)c2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3ccccc3[nH]c2=O)cc1Cl; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4ccccc4[nH]c3=O)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['O=c1ccc2ccccc2[nH]1']; [0.9998703]
-Cc1cc(-c2cc3ccccc3[nH]c2=O)cc(C)c1OCCO; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc3ccccc3[nH]c2=O)n1; [None]; [None]; [0]
-C[NH+](C)CCCc1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc4ccccc4[nH]c3=O)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cn1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1C1CCS(=O)(=O)CC1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1C1CCC(F)(F)CC1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)c(Cl)c1; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1CC1CCOCC1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1ccccc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)c(OC)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2c(Br)cnc3[nH]ncc23)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-COC(C)(C)CCc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1C1CCOCC1; [None]; [None]; [0]
-Cc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2c(Br)cnc3[nH]ncc23)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-COc1cnc(-c2c(Br)cnc3[nH]ncc23)nc1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1C1CCCCC1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2c(Br)cnc3[nH]ncc23)CO1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1CC1CCCCC1; [None]; [None]; [0]
-CC(C)C(=O)COc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2c(Br)cnc3[nH]ncc23)s1; [None]; [None]; [0]
-CCC(C)(C)c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1NCCc1c[nH]cn1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-CCCCc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3c(Br)cnc4[nH]ncc34)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3c(Br)cnc4[nH]ncc34)ccc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1NCCc1ccccc1; [None]; [None]; [0]
-Cn1ncc2cc(-c3c(Br)cnc4[nH]ncc34)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-[NH3+]CCCc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2c(Br)cnc3[nH]ncc23)C1; [None]; [None]; [0]
-CC(C)c1oncc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-CSc1nc(-c2c(Br)cnc3[nH]ncc23)c[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1csc2ncncc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3c(Br)cnc4[nH]ncc34)cc2s1; [None]; [None]; [0]
-FC(F)(F)Oc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-C[C@H](c1c(Br)cnc2[nH]ncc12)C(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2c(Br)cnc3[nH]ncc23)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2c(Br)cnc3[nH]ncc23)CC1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cnn2ccccc12; [None]; [None]; [0]
-O=c1cc(-c2c(Br)cnc3[nH]ncc23)cc[nH]1; [None]; [None]; [0]
-O=c1cc(-c2c(Br)cnc3[nH]ncc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-COc1cc(CCc2c(Br)cnc3[nH]ncc23)cc(OC)c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-O=C([O-])c1cc(-c2c(Br)cnc3[nH]ncc23)ccc1Cl; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2c(Br)cnc3[nH]ncc23)C1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2c(Br)cnc3[nH]ncc23)CC1; [None]; [None]; [0]
-CC1(c2c(Br)cnc3[nH]ncc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cc(-c2c(Br)cnc3[nH]ncc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-OCc1ccn(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
-OCCc1cn(-c2c(Br)cnc3[nH]ncc23)cn1; [None]; [None]; [0]
-C[C@H](Nc1c(Br)cnc2[nH]ncc12)C(C)(C)C; [None]; [None]; [0]
-C[C@H](Nc1c(Br)cnc2[nH]ncc12)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1c(Br)cnc2[nH]ncc12)C(C)(C)O; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1nc[nH]n1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-CSc1nc(C)c(-c2c(Br)cnc3[nH]ncc23)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-CC(C)([NH3+])CNc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Cn1cnnc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1nncn1C1CC1; [None]; [None]; [0]
-O=C(CCc1c(Br)cnc2[nH]ncc12)NCc1ccccn1; [None]; [None]; [0]
-C[C@@H](Nc1c(Br)cnc2[nH]ncc12)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2c(Br)cnc3[nH]ncc23)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2c(Br)cnc3[nH]ncc23)nc(N)n1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c(Br)cnc3[nH]ncc23)s1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1ncc2ccccc2n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2c(Br)cnc3[nH]ncc23)[nH]1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1CC1CCOCC1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2c(Br)cnc3[nH]ncc23)c(=O)n1C; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
-CN(C)c1cc(-c2c(Br)cnc3[nH]ncc23)cnn1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2c(Br)cnc3[nH]ncc23)CC1; [None]; [None]; [0]
-COC(C)(C)CCc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1ccc(-c2cnc3[nH]ncc3c2)cc1; []; []; []
-Cc1nnc(-c2ccccc2-c2cnc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cc1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1']; ['Cc1cccc(B(O)O)c1']; [0.999173939]
-CC(C)S(=O)(=O)c1ccccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1nc2[nH]ncc2cc1C1CCOCC1; [None]; [None]; [0]
-c1nc2[nH]ncc2cc1C1CCCCC1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cnc3[nH]ncc3c2)cs1; [None]; [None]; [0]
-c1nc2[nH]ncc2cc1CC1CCCCC1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CO1; [None]; [None]; [0]
-COc1cnc(-c2cnc3[nH]ncc3c2)nc1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cnc3[nH]ncc3c2)s1; [None]; [None]; [0]
-CC(C)C(=O)COc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1nc(CCNc2cnc3[nH]ncc3c2)c[nH]1; ['Brc1cnc2[nH]ncc2c1']; ['NCCc1c[nH]cn1']; [0.954087794]
-c1cc(Cn2cncn2)cc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-CCC(C)(C)c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CCCCc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cnc4[nH]ncc4c3)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cnc4[nH]ncc4c3)ccc12; [None]; [None]; [0]
-c1ccc(CCNc2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-CCCn1cnc(-c2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cnc3[nH]ncc3c2)C1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc4[nH]ncc4c3)ccc21; [None]; [None]; [0]
-CSc1nc(-c2cnc3[nH]ncc3c2)c[nH]1; [None]; [None]; [0]
-c1ncc2c(-c3cnc4[nH]ncc4c3)csc2n1; [None]; [None]; [0]
-[NH3+]CCCc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cnc4[nH]ncc4c3)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cnc3[nH]ncc3c2)CC1; ['Brc1cnc2[nH]ncc2c1']; ['CS(=O)(=O)C1CCNCC1']; [0.99758029]
-CC(C)c1oncc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]ncc3c2)c2ccccc21; [None]; [None]; [0]
-FC(F)(F)Oc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-O=c1cc(-c2cnc3[nH]ncc3c2)cc[nH]1; [None]; [None]; [0]
-c1ccn2ncc(-c3cnc4[nH]ncc4c3)c2c1; [None]; [None]; [0]
-C[C@H](c1cnc2[nH]ncc2c1)C(F)(F)F; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-O=c1cc(-c2cnc3[nH]ncc3c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-COc1cc(CCc2cnc3[nH]ncc3c2)cc(OC)c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1cc2cc(-c3cnc4[nH]ncc4c3)cnc2[nH]1; ['Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; [0.999998689]
-O=C([O-])c1cc(-c2cnc3[nH]ncc3c2)ccc1Cl; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)C1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-CC1(c2cnc3[nH]ncc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]ncc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
-c1cc(N2CCOCC2)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-C[C@H](Nc1cnc2[nH]ncc2c1)C(C)(C)C; [None]; [None]; [0]
-C[C@H](Nc1cnc2[nH]ncc2c1)C(C)(C)O; [None]; [None]; [0]
-OCCc1cn(-c2cnc3[nH]ncc3c2)cn1; [None]; [None]; [0]
-c1nc(-c2cnc3[nH]ncc3c2)n[nH]1; [None]; [None]; [0]
-c1ncn(-c2ccc(-c3cnc4[nH]ncc4c3)cc2)n1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-C[C@@H](Nc1cnc2[nH]ncc2c1)C(C)(C)O; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cnc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cn1cnnc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-C[C@@H](Nc1cnc2[nH]ncc2c1)C(C)(C)C; ['Brc1cnc2[nH]ncc2c1']; ['C[C@@H](N)C(C)(C)C']; [0.780775189]
-O=C(CCc1cnc2[nH]ncc2c1)NCc1ccccn1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CCc1cc(-c2cnc3[nH]ncc3c2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2cnc3[nH]ncc3c2)nc(N)n1; [None]; [None]; [0]
-c1nc2[nH]ncc2cc1-c1nncn1C1CC1; [None]; [None]; [0]
-c1nc2[nH]ncc2cc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cnc4[nH]ncc4c3)nn2)cc1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3[nH]ncc3c2)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cnc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
-c1ccc2nc(-c3cnc4[nH]ncc4c3)ncc2c1; [None]; [None]; [0]
-c1nc2[nH]ncc2cc1CC1CCOCC1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2cnc3[nH]ncc3c2)cn1; [None]; [None]; [0]
-c1cc2cnc(-c3cnc4[nH]ncc4c3)nc2[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]ncc3c2)c(=O)n1C; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CN(C)c1cc(-c2cnc3[nH]ncc3c2)cnn1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cnc4[nH]ncc4c3)CC2)c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnc4[nH]ncc4c3)c2c1; ['Brc1cnc2[nH]ncc2c1']; ['Cc1ccc2nc[nH]c2c1']; [0.861013651]
-CC(=O)N(C)c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnc3[nH]ncc3c2)cn1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnc3[nH]ncc3c2)c1)C1CC1; [None]; [None]; [0]
-O=C(c1ccc(-c2cnc3[nH]ncc3c2)cc1)N1CCOCC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-c1ccc(Cc2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1']; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; [0.999959]
-O=C(c1ccc(-c2cnc3[nH]ncc3c2)nc1)N1CCOCC1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Nc1ncc(Cc2cnc3[nH]ncc3c2)cn1; [None]; [None]; [0]
-c1ncc(Cc2cnc3[nH]ncc3c2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cnc3[nH]ncc3c2)C1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3[nH]ncc3c2)cc1Cl; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(-c2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]ncc3c2)sn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnc3[nH]ncc3c2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cnc4[nH]ncc4c3)CC2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3[nH]ncc3c2)cn1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cnc4[nH]ncc4c3)n[nH]2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-CC[NH+](CC)c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CCCCCc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnc4[nH]ncc4c3)cc2)CC1; [None]; [None]; [0]
-c1cc2cnc(-c3cnc4[nH]ncc4c3)nn2c1; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]ncc3c2)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cnc4[nH]ncc4c3)ccc2O1; [None]; [None]; [0]
-c1ncn(CCCc2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
-c1cc(N2CCCCC2)ccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.999966145]
-Cc1csc2c(-c3cnc4[nH]ncc4c3)ncnc12; [None]; [None]; [0]
-c1ccn2nc(-c3cnc4[nH]ncc4c3)cc2c1; [None]; [None]; [0]
-c1cc(-c2cnc3[nH]ncc3c2)cc(-n2nccn2)c1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-Clc1cnc(-c2cnc3[nH]ncc3c2)nc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cnc4[nH]ncc4c3)cc2c1; [None]; [None]; [0]
-O=C(Nc1cnc2[nH]ncc2c1)c1ccco1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cnc4[nH]ncc4c3)c1)OCOC2; [None]; [None]; [0]
-Cc1nc(-c2cnc3[nH]ncc3c2)c2sccc2n1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cnc4[nH]ncc4c3)c2)c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-c1cc2nc(-c3cnc4[nH]ncc4c3)ncc2s1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cnc4[nH]ncc4c3)ncc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnc3[nH]ncc3c2)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(-c3cnc4[nH]ncc4c3)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]ncc3c2)cc(C)c1OCCO; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnc3[nH]ncc3c2)cc1Cl; [None]; [None]; [0]
-C[NH+](C)CCCc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnc4[nH]ncc4c3)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3[nH]ncc3c2)cn1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-FC1(F)CCC(c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3[nH]ncc3c2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3[nH]ncc3c2)c(OC)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
-c1ccc(-c2nccs2)cc1; ['NC(=S)c1ccccc1', 'Br[Zn]c1nccs1']; ['O=CCCl', 'Ic1ccccc1']; [0.999442041, 0.999442041]
-Cc1ccc(C(=O)NCCO)cc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1nccs1; ['COC(CBr)OC']; ['Cc1cc(F)ccc1C(N)=S']; [0.999905109]
-Cn1c(-c2nccs2)nc2ccccc21; [None]; [None]; [0]
-Cc1ccccc1-c1nccs1; ['COC(CBr)OC']; ['Cc1ccccc1C(N)=S']; [0.999138594]
-Clc1[nH]ncc1-c1nccs1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nccs2)c(F)c1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2nccs2)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1nccs1; [None]; [None]; [0]
-Clc1ccc(CCc2nccs2)cc1; ['Clc1ccc(CCBr)cc1']; ['c1cscn1']; [0.952662647]
-Clc1ccc2c(c1-c1nccs1)OCO2; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3nccs3)ccc12; [None]; [None]; [0]
-COCCCc1nccs1; [None]; [None]; [0]
-NC(=O)c1cc(-c2nccs2)c[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2nccs2)o1; [None]; [None]; [0]
-c1csc(-c2nnco2)n1; [None]; [None]; [0]
-c1csc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
-c1csc(C2CCOCC2)n1; [None]; [None]; [0]
-CNc1nccc(-c2nccs2)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1nccs1; [None]; [None]; [0]
-Fc1cnc(-c2nccs2)nc1; [None]; [None]; [0]
-Brc1ccc(-c2nccs2)o1; [None]; [None]; [0]
-c1csc(-c2nncs2)n1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1nccs1; [None]; [None]; [0]
-[O-]c1cccc(-c2nccs2)c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2nccs2)c1C; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2nccs2)cc1; ['O=C(NC1CC1)c1ccc(I)cc1']; ['c1cscn1']; [0.999731362]
-Fc1ccc2n[nH]c(-c3nccs3)c2c1; [None]; [None]; [0]
-c1ccc2c(CCc3nccs3)c[nH]c2c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2nccs2)cc1; [None]; [None]; [0]
-Cc1cc(-c2nccs2)ccc1C(N)=O; [None]; [None]; [0]
-c1ccc2c(COc3nccs3)cccc2c1; ['ClCc1cccc2ccccc12']; ['Oc1nccs1']; [0.995685339]
-Fc1ccc(COc2nccs2)c(F)c1; ['Brc1nccs1']; ['OCc1ccc(F)cc1F']; [0.998041749]
-Cc1onc(-c2ccccc2)c1-c1nccs1; ['Cc1onc(-c2ccccc2)c1I']; ['c1cscn1']; [0.993733]
-Clc1ccc(-c2[nH]ncc2-c2nccs2)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-Fc1ccc(CCc2nccs2)c(F)c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3nccs3)c2c1; [None]; [None]; [0]
-c1ccc2nc(-c3nccs3)ncc2c1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1nccs1; ['Brc1nccs1']; ['O=c1[nH]ncc2ccccc12']; [0.99970144]
-COc1cccc(N2CCC(c3nccs3)CC2)c1; [None]; [None]; [0]
-c1csc(-c2ccc(N3CCOCC3)cc2)n1; ['Brc1nccs1']; ['c1ccc(N2CCOCC2)cc1']; [0.936312616]
-O=C(Nc1cccc(-c2nccs2)c1)C1CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2nccs2)cn1; [None]; [None]; [0]
-O=C(c1ccc(-c2nccs2)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2nccs2)nc1)N1CCOCC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1nccs1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2nccs2)cc1; ['C[C@@H](O)CO']; ['Oc1ccc(-c2nccs2)cc1']; [0.992973208]
-c1ccc(Cc2nccs2)cc1; ['NC(=S)Cc1ccccc1']; ['O=CCCl']; [0.996385336]
-CN(C)S(=O)(=O)c1ccc(-c2nccs2)cc1; ['Brc1nccs1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999999523]
-CS(=O)(=O)N1CCC(c2nccs2)CC1; [None]; [None]; [0]
-c1csc(C2CCCCC2)n1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2nccs2)C1; [None]; [None]; [0]
-c1ncc(Cc2nccs2)cn1; [None]; [None]; [0]
-Nc1ncc(Cc2nccs2)cn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nccs2)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1nccs1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-Cc1cc(-c2nccs2)sn1; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(-c2nccs2)n1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1nccs1; ['CC(C)(C)N', 'CC(C)(C)N']; ['O=C(Nc1nccs1)n1ccnc1', 'CC(C)(C)OC(=O)Nc1nccs1']; [0.998639643, 0.998639643]
-COc1cc(OC)c(-c2nccs2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3nccs3)CC2)c1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3nccs3)n[nH]2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nccs2)cc1; ['Brc1nccs1']; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; [0.999651194]
-c1ccc(Oc2ncccc2-c2nccs2)cc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2nccs2)CC1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2nccs2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nccs2)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1nccs1; [None]; [None]; [0]
-CCCCCc1nccs1; ['CCCCCI']; ['c1cscn1']; [0.829627275]
-COc1cccc(C(=O)Nc2nccs2)c1; ['COc1cccc(C(=O)O)c1']; ['Nc1nccs1']; [0.999983907]
-CC[NH+](CC)c1nccs1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3nccs3)cc2)CC1; ['CCN1CCNCC1']; ['O=Cc1ccc(-c2nccs2)cc1']; [0.998220384]
-c1cc2cnc(-c3nccs3)nn2c1; [None]; [None]; [0]
-COc1cc(-c2nccs2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1csc(CCCn2cncn2)n1; [None]; [None]; [0]
-c1csc(-c2ccc(N3CCCCC3)cc2)n1; ['Brc1ccc(N2CCCCC2)cc1']; ['c1cscn1']; [0.999280512]
-CC1(C)Cc2cc(-c3nccs3)ccc2O1; [None]; [None]; [0]
-Cc1csc2c(-c3nccs3)ncnc12; [None]; [None]; [0]
-c1ccn2nc(-c3nccs3)cc2c1; [None]; [None]; [0]
-c1cc(-c2nccs2)cc(-n2nccn2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2nccs2)cc1; [None]; [None]; [0]
-Clc1cnc(-c2nccs2)nc1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2nccs2)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2nccs2)c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2nccs2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2nccs2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2nccs2)CC1; [None]; [None]; [0]
-O=C(Nc1nccs1)c1ccco1; ['Nc1nccs1', 'Nc1nccs1']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1']; [0.99858582, 0.99858582]
-CC(C)(C)c1ccc(C(=O)Nc2nccs2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1']; ['Nc1nccs1']; [0.999995947]
-COc1ccc2oc(-c3nccs3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2nccs2)c1; [None]; [None]; [0]
-Fc1cc2c(c(-c3nccs3)c1)OCOC2; [None]; [None]; [0]
-Cc1nc(-c2nccs2)c2sccc2n1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1nccs1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3nccs3)c2)c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1nccs1; [None]; [None]; [0]
-Clc1ccc2nc(-c3nccs3)ncc2c1; [None]; [None]; [0]
-c1csc(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
-COc1ccc2nc(-c3nccs3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nccs2)c1)N1CCCC1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-Cn1cc(-c2nccs2)c2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nccs2)cc1Cl; [None]; [None]; [0]
-FC(F)(F)Oc1nccs1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2nccs2)n1; [None]; [None]; [0]
-Cc1cc(-c2nccs2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1ncc2cc(-c3nccs3)ccc21; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3nccs3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['c1cscn1']; [0.999487638]
-CN(C)c1ccc(-c2nccs2)cn1; ['Brc1nccs1', 'CN(C)c1ccc(Br)cn1']; ['CN(C)c1ccc(B(O)O)cn1', 'c1cscn1']; [0.998972178, 0.998972178]
-C[NH+](C)CCCc1nccs1; [None]; [None]; [0]
-O=S1(=O)CCC(c2nccs2)CC1; [None]; [None]; [0]
-FC1(F)CCC(c2nccs2)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1nccs1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nccs2)c(Cl)c1; [None]; [None]; [0]
-c1csc(CC2CCOCC2)n1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1nccs1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2nccs2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nccs2)c(OC)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1nccs1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1nccs1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2nccs2)c1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccccc3)ccc21; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc3c(c2)Nc2ccccc2NC3=O)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc([C@@H]3C[C@H](O)C3)ccc21; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(Cc3cc(F)cc(F)c3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(C3CCOCC3)ccc21; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cccnc3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cc[nH]n3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccnc4ccccc34)ccc21; [None]; [None]; [0]
-Cc1cccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccccc3Cl)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cccc(C(F)(F)F)c3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccccc3Br)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccccc3OC(F)(F)F)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccccc3F)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccccc3C(=O)[O-])ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cnn(Cc4ccccc4)c3)ccc21; [None]; [None]; [0]
-N#Cc1ccccc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3c(F)cccc3F)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccncn3)ccc21; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-N[C@H](c1ccc2c(c1)Nc1ccccc1NC2=O)c1ccco1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cnc(-c4ccccc4)[nH]3)ccc21; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c1)c1ccccc1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cnn(CCO)c3)ccc21; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cs1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(C3CCCCC3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc([C@@H]3CC[C@@H](CO)OC3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccc4c(c3)CCC4)ccc21; [None]; [None]; [0]
-COc1cnc(-c2ccc3c(c2)Nc2ccccc2NC3=O)nc1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(CC3CCCCC3)ccc21; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c(Br)c1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cnco3)ccc21; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cnc4ccccn34)ccc21; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3c(c2)Nc2ccccc2NC3=O)s1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc3c(c2)Nc2ccccc2NC3=O)s1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cnc4cccnn34)ccc21; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cccc(Cn4cncn4)c3)ccc21; [None]; [None]; [0]
-CC(C)(C)Nc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3c(Cl)cccc3Cl)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(OC3CCCCC3)ccc21; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccc3c(c2)Nc2ccccc2NC3=O)c1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cccc(Cl)c3Cl)ccc21; [None]; [None]; [0]
-Cc1ncc(-c2ccc3c(c2)Nc2ccccc2NC3=O)[nH]1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(NCc3cccnc3)ccc21; [None]; [None]; [0]
-COc1cccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c1; [None]; [None]; [0]
-Nc1nccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)n1; [None]; [None]; [0]
-CCC(C)(C)c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(Nc3cccnc3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccc4ccccc4c3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccc(Cl)s3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(NCCc3c[nH]cn3)ccc21; [None]; [None]; [0]
-C[C@H](CO)Nc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-n3cnc4ccccc43)ccc21; [None]; [None]; [0]
-CC(C)COc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C(Nc1ccc2c(c1)Nc1ccccc1NC2=O)c1cccs1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-CCCCc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cncc4ccccc34)ccc21; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccc4c(c3)Nc3ccccc3NC4=O)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc4c(c3)Nc3ccccc3NC4=O)cc2)cn1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(NCCc3ccccc3)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3c(c2)Nc2ccccc2NC3=O)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4c(c3)Nc3ccccc3NC4=O)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cccc(O)c3)ccc21; [None]; [None]; [0]
-Cn1cncc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cccc(CO)c3)ccc21; [None]; [None]; [0]
-[NH3+]CCCc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(Nc3ccncc3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccco3)ccc21; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc3c(c2)Nc2ccccc2NC3=O)C1; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cn1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cccs3)ccc21; [None]; [None]; [0]
-N#CCCc1cccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c1; [None]; [None]; [0]
-CC(C)Nc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-CSc1nc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c[nH]1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccc(F)cc3C(F)(F)F)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3csc4ncncc34)ccc21; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4c(c3)Nc3ccccc3NC4=O)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c2ccccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(OC(F)(F)F)ccc21; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc3c(c2)Nc2ccccc2NC3=O)CC1; [None]; [None]; [0]
-CCC(=O)Nc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-C[C@H](c1ccc2c(c1)Nc1ccccc1NC2=O)C(F)(F)F; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)no1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cnn4ccccc34)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cnoc3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cc[nH]c(=O)c3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccn([C@@H2]CO)c(=O)c3)ccc21; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-CCCn1cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cn1; [None]; [None]; [0]
-COc1cc(CCc2ccc3c(c2)Nc2ccccc2NC3=O)cc(OC)c1; [None]; [None]; [0]
-CCOC(=O)Cc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)ccc1Cl; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cccc4c3C(=O)CC4)ccc21; [None]; [None]; [0]
-CCN(CC)c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cc4c(=O)[nH]ccc4o3)ccc21; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cc1; [None]; [None]; [0]
-COc1ccncc1Nc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(Nc3cnc4ccccc4c3)ccc21; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cc1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3c[nH]c4ccccc34)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc([C@H](CO)Cc3ccccc3)ccc21; [None]; [None]; [0]
-CC1(c2ccc3c(c2)Nc2ccccc2NC3=O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3c[nH]c4cnccc34)ccc21; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc3c(c2)Nc2ccccc2NC3=O)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccc3c(c2)Nc2ccccc2NC3=O)CC1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cnc4[nH]ccc4c3)ccc21; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccc3c(c2)Nc2ccccc2NC3=O)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccc3c(c2)Nc2ccccc2NC3=O)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cc1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccc(N4CCOCC4)cc3)ccc21; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc3c(c2)Nc2ccccc2NC3=O)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cc1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-n3cnc(CCO)c3)ccc21; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cc1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-n3ccc(CO)n3)ccc21; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ccc2c(c1)Nc1ccccc1NC2=O)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ccc2c(c1)Nc1ccccc1NC2=O)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccc2c(c1)Nc1ccccc1NC2=O)C(C)(C)C; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-n3ncc4ccccc43)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-n3ncc4c(O)cccc43)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cccnc3O)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ccc(-n4cncn4)cc3)ccc21; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3nc4ccc(O)cc4[nH]3)ccc21; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3c(c2)Nc2ccccc2NC3=O)[nH]1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3nc[nH]n3)ccc21; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c(OC)c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(Cc3ccncc3)ccc21; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cc1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3nncn3C3CC3)ccc21; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-Cn1cnnc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-n3ccnc3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(OC3CCOCC3)ccc21; [None]; [None]; [0]
-O=C(CCc1ccc2c(c1)Nc1ccccc1NC2=O)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)nc(N)n1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2c(c1)Nc1ccccc1NC2=O)C(C)(C)C; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cn(Cc4ccccc4)nn3)ccc21; [None]; [None]; [0]
-Nc1nnc(-c2ccc3c(c2)Nc2ccccc2NC3=O)s1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(c2)Nc2ccccc2NC3=O)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3c(c2)Nc2ccccc2NC3=O)s1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3csc(N4CCOCC4)n3)ccc21; [None]; [None]; [0]
-Cc1cncc(-c2ccc3c(c2)Nc2ccccc2NC3=O)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3nc4ccccc4s3)ccc21; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc3c(c2)Nc2ccccc2NC3=O)[nH]1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cccc4ccsc34)ccc21; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(CC3CCOCC3)ccc21; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c(=O)n1C; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ncc4ccccc4n3)ccc21; [None]; [None]; [0]
-Nc1nc(-c2ccc3c(c2)Nc2ccccc2NC3=O)nc2ccccc12; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3c[nH]c4cccnc34)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3ncc4cc[nH]c4n3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(-c3cnccc3N3CCOCC3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(O[C@@H]3CC[C@H](O)CC3)ccc21; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(Cc3cccnc3)ccc21; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-CC(C)(C)CNc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-CC(C)(C)Oc1ccc2c(c1)Nc1ccccc1NC2=O; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ccc3c(c2)Nc2ccccc2NC3=O)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccc3c(c2)Nc2ccccc2NC3=O)c1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(N3CCC(c4nc5ccccc5[nH]4)CC3)ccc21; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc3c(c2)Nc2ccccc2NC3=O)cnn1; [None]; [None]; [0]
-O=C1Nc2ccccc2Nc2cc(N3CC=C(c4c[nH]c5ccccc45)CC3)ccc21; [None]; [None]; [0]
-c1ccc(-c2cnccn2)cc1; ['Clc1cnccn1', 'Br[Mg]c1ccccc1', '[Li]c1ccccc1']; ['OB(O)c1ccccc1', 'Clc1cnccn1', 'c1cnccn1']; [0.99908483, 0.99908483, 0.99908483]
-Cc1cc(F)ccc1-c1cnccn1; ['Cc1cc(F)ccc1B(O)O']; ['Clc1cnccn1']; [0.999955535]
-Cc1ccccc1-c1cnccn1; ['Cc1ccccc1B(O)O', 'Cc1ccccc1[Mg]Br']; ['Clc1cnccn1', 'Clc1cnccn1']; [0.999878049, 0.999878049]
-NC(=O)c1ccc(-c2cnccn2)c(F)c1; ['Brc1cnccn1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; [0.999998093]
-Cn1c(-c2cnccn2)nc2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2cnccn2)c1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1cnccn1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnccn1; ['Brc1cnccn1', 'Cc1ccc2[nH]ncc2c1B(O)O']; ['Cc1ccc2[nH]ncc2c1B(O)O', 'Clc1cnccn1']; [0.997556925, 0.997556925]
-COCCCc1cnccn1; ['COCCBr']; ['Cc1cnccn1']; [0.957202733]
-Clc1ccc(CCc2cnccn2)cc1; ['Clc1ccc(CC[Mg]Br)cc1']; ['Clc1cnccn1']; [0.831947803]
-Clc1ccc2c(c1-c1cnccn1)OCO2; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnccn2)c[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnccn3)ccc12; [None]; [None]; [0]
-Cc1nnc(-c2cnccn2)o1; [None]; [None]; [0]
-c1cnc(-c2nnco2)cn1; [None]; [None]; [0]
-c1cnc(-c2cnc3[nH]ccc3c2)cn1; ['Brc1cnccn1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1cnccn1']; [0.999999404, 0.999999404]
-CNc1nccc(-c2cnccn2)n1; [None]; [None]; [0]
-c1cnc(C2CCOCC2)cn1; ['BrC1CCOCC1']; ['Brc1cnccn1']; [0.997105062]
-Fc1cnc(-c2cnccn2)nc1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnccn1; ['CNc1cccc(Cl)c1']; ['Clc1cnccn1']; [0.995257199]
-Brc1ccc(-c2cnccn2)o1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnccn1; [None]; [None]; [0]
-c1cnc(-c2nncs2)cn1; [None]; [None]; [0]
-[O-]c1cccc(-c2cnccn2)c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cnccn3)c2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnccn2)c1C; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cnccn2)cc1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Brc1cnccn1', 'Clc1cnccn1']; ['Clc1cnccn1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999999285, 0.999999285, 0.999999285]
-Fc1ccc(-c2nc[nH]c2-c2cnccn2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cnccn2)ccc1C(N)=O; [None]; [None]; [0]
-c1ccc2c(COc3cnccn3)cccc2c1; ['Fc1cnccn1']; ['OCc1cccc2ccccc12']; [0.953957796]
-c1ccc2c(CCc3cnccn3)c[nH]c2c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnccn1; [None]; [None]; [0]
-Fc1ccc(COc2cnccn2)c(F)c1; ['Clc1cnccn1']; ['OCc1ccc(F)cc1F']; [0.999227762]
-Clc1ccc(-c2[nH]ncc2-c2cnccn2)cc1; [None]; [None]; [0]
-Fc1ccc(CCc2cnccn2)c(F)c1; [None]; [None]; [0]
-c1ccc2nc(-c3cnccn3)ncc2c1; [None]; [None]; [0]
-c1cnc(-c2ccc(N3CCOCC3)cc2)cn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C']; ['Clc1cnccn1']; [0.999999762]
-CC(=O)N(C)c1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cnccn3)CC2)c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnccn3)c2c1; ['Brc1cnccn1']; ['Cc1ccc2nc[nH]c2c1']; [0.998926222]
-O=c1c2ccccc2cnn1-c1cnccn1; ['Clc1cnccn1']; ['O=c1[nH]ncc2ccccc12']; [0.999979138]
-O=C(Nc1cccc(-c2cnccn2)c1)C1CC1; [None]; [None]; [0]
-O=C(c1ccc(-c2cnccn2)cc1)N1CCOCC1; ['Brc1cnccn1', 'Clc1cnccn1']; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [1.0, 1.0]
-CS(=O)(=O)Nc1ccc(-c2cnccn2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cnccn2)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-c1ccc(Cc2cnccn2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cnccn1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnccn2)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnccn1']; ['Clc1cnccn1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; [0.999997497, 0.999997497]
-c1cnc(C2CCCCC2)cn1; ['BrC1CCCCC1']; ['c1cnccn1']; [0.996468544]
-CS(=O)(=O)N1CCC(c2cnccn2)CC1; [None]; [None]; [0]
-c1cnc(Cc2cncnc2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cnccn2)C1; [None]; [None]; [0]
-Nc1ncc(Cc2cnccn2)cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnccn2)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cnccn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnccn2)cc1Cl; [None]; [None]; [0]
-c1cnc(-c2cc(N3CCOCC3)ccn2)cn1; [None]; [None]; [0]
-Cc1cc(-c2cnccn2)sn1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cnccn3)n[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnccn1; ['CC(C)(C)NC(N)=O']; ['Clc1cnccn1']; [0.954749]
-COc1cccc(C(=O)N2CCC(c3cnccn3)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cnccn2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cnccn1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cnccn2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnccn2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnccn2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1']; ['Nc1cnccn1', 'Nc1cnccn1']; [0.999970794, 0.999970794]
-CC(=O)N[C@@H]1CC[C@@H](c2cnccn2)CC1; [None]; [None]; [0]
-CCCCCc1cnccn1; ['CCCCBr']; ['Cc1cnccn1']; [0.843219757]
-CC[NH+](CC)c1cnccn1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnccn3)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['c1cnccn1']; [0.999958873]
-c1cc2cnc(-c3cnccn3)nn2c1; [None]; [None]; [0]
-COc1cc(-c2cnccn2)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cnccn3)ccc2O1; [None]; [None]; [0]
-c1cnc(-c2ccc(N3CCCCC3)cc2)cn1; ['Clc1cnccn1']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.999998331]
-c1cnc(CCCn2cncn2)cn1; [None]; [None]; [0]
-c1cc(-c2cnccn2)cc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1csc2c(-c3cnccn3)ncnc12; [None]; [None]; [0]
-c1ccn2nc(-c3cnccn3)cc2c1; [None]; [None]; [0]
-Clc1cnc(-c2cnccn2)nc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnccn2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnccn2)cc1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cnccn2)cc1; [None]; [None]; [0]
-O=C(Nc1cnccn1)c1ccco1; ['Nc1cnccn1', 'Nc1cnccn1']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1']; [0.999878526, 0.999878526]
-CO[C@@H]1CC[C@@H](c2cnccn2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cnccn3)c1)OCOC2; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnccn2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnccn2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cnccn3)cc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cnccn3)c2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnccn2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnccn2)c1; [None]; [None]; [0]
-c1cnc(-c2ncc3sccc3n2)cn1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnccn1; [None]; [None]; [0]
-Cc1nc(-c2cnccn2)c2sccc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnccn1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cnccn3)ncc2c1; [None]; [None]; [0]
-COc1ccc2nc(-c3cnccn3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=C(O)c1cnccn1']; [0.999872327]
-Cn1cc(-c2cnccn2)c2ccccc21; ['Clc1cnccn1']; ['Cn1ccc2ccccc21']; [0.984296083]
-FC(F)(F)Oc1cnccn1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnccn2)c1)N1CCCC1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnccn3)ccc21; ['Clc1cnccn1']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999977469]
-C[C@H]1CCCN1c1cccc(-c2cnccn2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnccn2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Clc1cnccn1']; [0.999971867]
-O=C([O-])c1ccc(-c2cnccn2)cc1Cl; [None]; [None]; [0]
-FC1(F)CCC(c2cnccn2)CC1; [None]; [None]; [0]
-C[NH+](C)CCCc1cnccn1; [None]; [None]; [0]
-Cc1cc(-c2cnccn2)cc(C)c1OCCO; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnccn1; [None]; [None]; [0]
-c1cnc(CC2CCOCC2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnccn3)ccc12; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnccn1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cnccn2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnccn2)c(OC)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cnccn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnccn2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnccn2)c1; [None]; [None]; [0]
-Nc1cnc(-c2ccccc2)cn1; ['Nc1cnc(Cl)cn1']; ['OB(O)c1ccccc1']; [0.999477446]
-Cc1cc(F)ccc1-c1cnc(N)cn1; ['Cc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(F)ccc1B(O)O', 'Cc1cc(F)ccc1B(O)O']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999994516, 0.999994516, 0.999994516]
-Cc1ccccc1-c1cnc(N)cn1; ['Cc1ccccc1B(O)O']; ['Nc1cnc(Cl)cn1']; [0.998793721]
-CCNC(=O)c1ccc(-c2cnccn2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc(N)cn2)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; ['Nc1cnc(Br)cn1']; [0.999998569]
-Nc1cnc(-c2ccc(C(=O)[O-])cc2)cn1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cnccn1; [None]; [None]; [0]
-Cn1c(-c2cnc(N)cn2)nc2ccccc21; [None]; [None]; [0]
-Nc1cnc(-n2ccc(CC(=O)[O-])c2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cn[nH]c2Cl)cn1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(-c2c(Cl)ccc3c2OCO3)cn1; [None]; [None]; [0]
-Nc1cnc(CCc2ccc(Cl)cc2)cn1; [None]; [None]; [0]
-COCCCc1cnc(N)cn1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnc(N)cn3)ccc12; [None]; [None]; [0]
-Cc1nnc(-c2cnc(N)cn2)o1; [None]; [None]; [0]
-Nc1cnc(-c2cnc3[nH]ccc3c2)cn1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Nc1cnc(Br)cn1']; [0.999999881]
-NC(=O)c1cc(-c2cnc(N)cn2)c[nH]1; [None]; [None]; [0]
-Nc1cnc(-c2ncc(F)cn2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2nnco2)cn1; [None]; [None]; [0]
-CNc1nccc(-c2cnc(N)cn2)n1; [None]; [None]; [0]
-Nc1cnc(C2CCOCC2)cn1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(Br)o2)cn1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cccc([O-])c2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2nncs2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(C(=O)NC3CC3)cc2)cn1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Nc1cnc(Br)cn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [1.0, 1.0, 1.0]
-Cc1n[nH]c(-c2cnc(N)cn2)c1C; [None]; [None]; [0]
-Nc1cnc(-c2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2[nH]cnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2[nH]nc3ccc(F)cc23)cn1; [None]; [None]; [0]
-Nc1cnc(CCc2c[nH]c3ccccc23)cn1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)cn2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(OCc2cccc3ccccc23)cn1; ['Nc1cnc(Cl)cn1']; ['OCc1cccc2ccccc12']; [0.920441687]
-Nc1cnc(-c2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
-Nc1cnc(OCc2ccc(F)cc2F)cn1; ['Nc1cnc(Cl)cn1']; ['OCc1ccc(F)cc1F']; [0.999484539]
-CC(=O)N(C)c1ccc(-c2cnc(N)cn2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1cnc(Br)cn1']; [0.997179151]
-Nc1cnc(CCc2ccc(F)cc2F)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ncc3ccccc3n2)cn1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cnc(N)cn3)CC2)c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnc(N)cn3)c2c1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(N3CCOCC3)cc2)cn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [1.0, 1.0, 1.0]
-Nc1cnc(-c2cccc(NC(=O)C3CC3)c2)cn1; [None]; [None]; [0]
-Nc1cnc(-n2ncc3ccccc3c2=O)cn1; ['Nc1cnc(Cl)cn1']; ['O=c1[nH]ncc2ccccc12']; [0.972048223]
-Nc1cnc(-c2ccc(C(=O)N3CCOCC3)cc2)cn1; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'Nc1cnc(Cl)cn1']; [0.999999523, 0.999999523]
-CS(=O)(=O)Nc1ccc(-c2cnc(N)cn2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
-Nc1cnc(Cc2ccccc2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(C(=O)N3CCOCC3)cn2)cn1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1']; [0.999999166, 0.999999166, 0.999999166]
-Nc1cnc(C2CCCCC2)cn1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(Cc2cncnc2)cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cnc(N)cn2)CC1; [None]; [None]; [0]
-Nc1cnc(Cc2cnc(N)nc2)cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
-Nc1cnc([C@H]2CCN(C(=O)c3ccccc3)C2)cn1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cnc(N)cn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnc(N)cn2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)cn2)sn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)cn2)cc1Cl; [None]; [None]; [0]
-Nc1cnc(-c2cc(-c3ccccc3)[nH]n2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cnc(N)cn3)CC2)c1; [None]; [None]; [0]
-Nc1cnc(-c2cc(N3CCOCC3)ccn2)cn1; [None]; [None]; [0]
-Nc1cnc([C@@H]2CC[C@@H]([NH3+])CC2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cccnc2Oc2ccccc2)cn1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnc(N)cn1; ['CC(C)(C)NC(N)=O']; ['Nc1cnc(Br)cn1']; [0.94299829]
-CN(C)C(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1cnc(Br)cn1']; [0.999992609]
-CC(C)(C)c1ccc(-c2cnc(N)cn2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)cn2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnc(N)cn3)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnc(N)cn2)c1; [None]; [None]; [0]
-CCCCCc1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(CCCn2cncn2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cc3ccccn3n2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ncc3cccn3n2)cn1; [None]; [None]; [0]
-CC[NH+](CC)c1cnc(N)cn1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cnc(N)cn3)ccc2O1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)cn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1cnc(-c2ccc(N3CCCCC3)cc2)cn1; ['Nc1cnc(Br)cn1']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.999999404]
-Nc1cnc(-c2ncc(Cl)cn2)cn1; [None]; [None]; [0]
-Cc1csc2c(-c3cnc(N)cn3)ncnc12; [None]; [None]; [0]
-Nc1cnc(-c2cccc(-n3nccn3)c2)cn1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc(N)cn2)c1; [None]; [None]; [0]
-Nc1cnc(Cc2ccc(S(=O)(=O)CCO)cc2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnc(N)cn2)cc1; [None]; [None]; [0]
-Nc1cnc(NC(=O)c2ccco2)cn1; ['NC(=O)c1ccco1']; ['Nc1cnc(Br)cn1']; [0.986893535]
-CO[C@@H]1CC[C@@H](c2cnc(N)cn2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnc(N)cn2)CC1; [None]; [None]; [0]
-Nc1cnc(-c2cc(F)cc3c2OCOC3)cn1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnc(N)cn2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cnc(N)cn3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnc(N)cn2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnc(N)cn2)c1; [None]; [None]; [0]
-Nc1cnc(-c2cc(-c3cccnc3)ccn2)cn1; [None]; [None]; [0]
-Cc1nc(-c2cnc(N)cn2)c2sccc2n1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ncc3sccc3n2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2ncc3cc(Cl)ccc3n2)cn1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnc(N)cn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3cnc(N)cn3)[nH]c2c1; [None]; [None]; [0]
-Nc1cnc(-c2cccc(NC(=O)N3CCCC3)c2)cn1; [None]; [None]; [0]
-Nc1cnc(OC(F)(F)F)cn1; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)cn2)c2ccccc21; [None]; [None]; [0]
-Nc1cnc(-c2ccc(C(=O)[O-])c(Cl)c2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc(N)cn3)ccc21; ['Cn1ncc2cc(Br)ccc21']; ['Nc1cnc(Br)cn1']; [0.99908638]
-C[C@H]1CCCN1c1cccc(-c2cnc(N)cn2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)cn2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Nc1cnc(Br)cn1']; [0.999952793]
-C[NH+](C)CCCc1cnc(N)cn1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)cn2)cc(C)c1OCCO; [None]; [None]; [0]
-Nc1cnc(C2CCC(F)(F)CC2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnc(N)cn3)ccc12; [None]; [None]; [0]
-Nc1cnc(C2CCS(=O)(=O)CC2)cn1; [None]; [None]; [0]
-Nc1cnc(CC2CCOCC2)cn1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc(N)cn2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc(N)cn2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1cnc(Br)cn1']; [0.999975204]
-C[NH+](C)CCCOc1cnc(N)cn1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cnc(N)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnc(N)cn2)c1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)c[nH]c2=O)cn1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(O)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccncc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccccc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cn[nH]c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc3ncccc23)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(Cl)c(O)c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2c(F)cccc2F)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2n[nH]c3ccccc23)c1; [None]; [None]; [0]
-Cc1ccccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(N)c[nH]c2=O)c(F)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(O)cc2Cl)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccnc(N)n2)c1; [None]; [None]; [0]
-Cc1ncc(-c2cc(N)c[nH]c2=O)[nH]1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c([C@@H]2C[C@H](O)C2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccccc2Cl)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc[nH]c2)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)c[nH]c2=O)ccc1O; [None]; [None]; [0]
-C[C@@H](O)Cc1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(C[C@@H](O)CO)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cnccn2)c1; [None]; [None]; [0]
-N#Cc1cnc(-c2cc(N)c[nH]c2=O)cn1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccoc2)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cc(N)c[nH]c2=O)cn1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cc(N)c[nH]c2=O)o1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(O)cc2O)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccs2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc(Br)c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccncn2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(COc2ccccc2Cl)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(F)c(Cl)c2)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc(O)ccc2Cl)c1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)c[nH]c2=O)cc1C; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2c(Cl)ccc3c2OCO3)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cnc(O)c(Cl)c2)c1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-NC(=O)c1cc(-c2cc(N)c[nH]c2=O)c[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)c[nH]c2=O)cc1OC; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cc(N)c[nH]c3=O)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc(N)c[nH]c3=O)cc2[nH]1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2nnco2)c1; [None]; [None]; [0]
-Cc1nnc(-c2cc(N)c[nH]c2=O)o1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(C2CCOCC2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cncc(O)c2)c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cc(N)c[nH]c2=O)CC1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc3c(c2)CC(=O)N3)c1; [None]; [None]; [0]
-CNc1nccc(-c2cc(N)c[nH]c2=O)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ncc(F)cn2)c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(Br)o2)c1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2nccs2)c1; [None]; [None]; [0]
-CCc1sccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc(Cl)c(O)c(Cl)c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc(N)[nH]n2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc3c(c2)CCN3)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(Br)cc2F)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc3[nH]c(=O)[nH]c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2nncs2)c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cc(N)c[nH]c2=O)c1C; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc([O-])c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2[nH]nc3ccc(F)cc23)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)c[nH]c2=O)nc1C; [None]; [None]; [0]
-Cc1csc(-c2cc(N)c[nH]c2=O)n1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)c[nH]c2=O)c(C)n1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(C(=O)NC3CC3)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc(O)cc(Br)c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cnco2)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc(N)c[nH]c3=O)cc2o1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c[nH]c2=O)ccc1C(N)=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc(F)c(O)c(F)c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc3c(=O)[nH][nH]c3c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(F)cc2Cl)c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CSc1cccc(-c2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-CCOc1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc(N)c[nH]c3=O)CC2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
-Cn1nncc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-COc1ncccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cc(N)c[nH]c3=O)c2c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)c[nH]c2=O)cc(OC)c1OC; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc(O)c2)c1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc(NC(=O)C3CC3)c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-n2ncc3ccccc3c2=O)c1; [None]; [None]; [0]
-Cc1cc(Nc2cc(N)c[nH]c2=O)sn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc(N)c[nH]c2=O)cn1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(C(=O)Nc3ccccc3)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Nc2ncccn2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Cc2nccc3ccccc23)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(NC(=O)C2CC2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc(F)c2)c1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(OCCO)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(C(=O)N3CCOCC3)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Nc2ccncn2)c1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c[nH]c2=O)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Cc2ccccc2)c1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(C(F)(F)F)cc2)c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Cc2ccccc2O)c1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc(N)c[nH]c2=O)s1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Cc2ccncc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(C2CCCCC2)c1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc(N)c[nH]c2=O)CC1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Cc2cncnc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(C[C@H](O)CO)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Cc2cnc(N)nc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Cc2cccnc2)c1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c([C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cnc(Cl)nc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cncnc2)c1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)c[nH]c2=O)cc1Cl; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(Br)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-n2ccnc2)c1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-COc1ccc(Cc2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(N)c[nH]c2=O)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c[nH]c2=O)sn1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc[nH]2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc3c(c2)CCO3)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Cn2ccnc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc(N3CCOCC3)ccn2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc3ccccc3cn2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc3c2OCO3)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2scc3c2OCCO3)c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc(N)c[nH]c3=O)CC2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c([C@@H]2CC[C@@H]([NH3+])CC2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(F)c(F)c2)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccnc2Oc2ccccc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cnc3ccccc3c2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(N)c[nH]c2=O)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(N)c[nH]c2=O)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-COCCOc1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CC1(COc2cc(N)c[nH]c2=O)COC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccco2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(N)c[nH]c3=O)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c[nH]c2=O)nc(N)n1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c([C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c([C@H]2CC[C@@H](O)C2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ncc(Br)cn2)c1; [None]; [None]; [0]
-CCCCCc1cc(N)c[nH]c1=O; [None]; [None]; [0]
-COc1ccc(CNc2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-CC[NH+](CC)c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CCc1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(Cl)cc2Cl)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccsc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(CCCn2cncn2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)c[nH]c2=O)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)c[nH]c2=O)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc(N)c[nH]c3=O)ccc2O1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(N3CCCCC3)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc(N)c[nH]c3=O)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(N)c[nH]c2=O)cc1OC; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ncc(Cl)cn2)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)c[nH]c2=O)ccc1Cl; [None]; [None]; [0]
-Cc1cc(Nc2cc(N)c[nH]c2=O)nn1C; [None]; [None]; [0]
-Cc1csc2c(-c3cc(N)c[nH]c3=O)ncnc12; [None]; [None]; [0]
-Cc1nc(Nc2cc(N)c[nH]c2=O)sc1C; [None]; [None]; [0]
-COc1cc(-c2cc(N)c[nH]c2=O)c(OC)cc1Br; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc(-n3nccn3)c2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)c[nH]c2=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Cc2ccc(S(=O)(=O)CCO)cc2)c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc(N)c[nH]c2=O)CC1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(NC(=O)c2ccco2)c1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc(N)c[nH]c2=O)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc(N)c[nH]c2=O)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(N)c[nH]c3=O)cc2c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc(F)cc3c2OCOC3)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc3cn[nH]c3c2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-CC(C)Oc1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CCn1cc(-c2cc(N)c[nH]c2=O)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cc3ccccc3o2)c1; [None]; [None]; [0]
-Cc1nc(-c2cc(N)c[nH]c2=O)c2sccc2n1; [None]; [None]; [0]
-COC(=O)Nc1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ncc3cc(Cl)ccc3n2)c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(N)c[nH]c3=O)[nH]c2c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(OC(F)(F)F)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(OC(F)(F)F)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cscn2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(C(=O)[O-])c(Cl)c2)c1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)c[nH]c2=O)c2ccccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc(N)c[nH]c2=O)n1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c[nH]c2=O)cc(C)c1OCCO; [None]; [None]; [0]
-CCc1cccc(-c2cc(N)c[nH]c2=O)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(N)c[nH]c3=O)ccc21; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc(N)c[nH]c3=O)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)c[nH]c2=O)cn1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2cccc(N3CCCC3=O)c2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(C2CCC(F)(F)CC2)c1; [None]; [None]; [0]
-C[NH+](C)CCCc1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(C2CCS(=O)(=O)CC2)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(-c2ccc(CCO)cc2)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(CC2CCOCC2)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)c[nH]c2=O)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(N)c[nH]c2=O)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)c[nH]c2=O)c(OC)c1; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Nc2ccc(F)cn2)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cc(N)c[nH]c1=O; [None]; [None]; [0]
-Nc1c[nH]c(=O)c(Nc2ccccn2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-Nc1ccc(-c2ccccc2)cn1; []; []; []
-Cc1ccc(C(=O)NCCO)cc1-c1cc(N)c[nH]c1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc(N)c[nH]c2=O)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc(N)nc2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc(N)nc1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc(N)nc1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(C2CCOCC2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2ccccc2C(=O)[O-])cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc(N)nc2)cs1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc(N)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(N)nc2)nc1; ['COc1cnc(Cl)nc1']; ['Nc1ccc(B(O)O)cn1']; [0.996735752]
-Cc1cccc(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1cccc(I)c1']; ['Cc1cccc(Br)c1', 'Nc1ccc(B(O)O)cn1']; [0.999963403, 0.999963403]
-Nc1ccc([C@@H]2CC[C@@H](CO)OC2)cn1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc(N)nc1; ['CC(C)C(=O)CBr']; ['Nc1ccc(O)cn1']; [0.782463074]
-Nc1ccc(C2CCCCC2)cn1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(CC2CCCCC2)cn1; ['Br[Zn]CC1CCCCC1']; ['Nc1ccc(Br)cn1']; [0.998164952]
-CCC(C)(C)c1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(-c2cccc(Cn3cncn3)c2)cn1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc(N)nc2)s1; [None]; [None]; [0]
-Nc1ccc(NCCc2c[nH]cn2)cn1; ['NCCc1c[nH]cn1']; ['Nc1ccc(Br)cn1']; [0.970168889]
-Nc1ccc(-c2cccc(CC(=O)[O-])c2)cn1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc(N)nc1; [None]; [None]; [0]
-CCCCc1ccc(N)nc1; []; []; []
-Cn1cc(-c2ccc(-c3ccc(N)nc3)cc2)cn1; [None]; [None]; [0]
-Nc1ccc(NCCc2ccccc2)cn1; ['ClCCc1ccccc1', 'Nc1ccc(N)nc1']; ['Nc1ccc(N)nc1', 'O=CCc1ccccc1']; [0.921842575, 0.921842575]
-Cn1ncc2cc(-c3ccc(N)nc3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1']; [0.999996543, 0.999996543]
-Nc1ccc(-c2ccc3c(N)[nH]nc3c2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.999998927]
-Nc1ccc(CCC[NH3+])cn1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(N)nc2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc([C@@H]2CCC[C@H]([NH3+])C2)cn1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc(N)nc1; [None]; [None]; [0]
-CSc1nc(-c2ccc(N)nc2)c[nH]1; [None]; [None]; [0]
-Nc1ccc(-c2csc3ncncc23)cn1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc(N)nc3)cc2s1; [None]; [None]; [0]
-Nc1ccc(OC(F)(F)F)cn1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc(N)nc2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Nc1ccc(Br)cn1']; [0.999487281]
-C[C@H](c1ccc(N)nc1)C(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2ccc(N)nc2)c2ccccc21; [None]; [None]; [0]
-Nc1ccc(-c2cc[nH]c(=O)c2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['O=c1cc(Br)cc[nH]1']; [0.999963403]
-Nc1ccc(-c2ccn([C@@H2]CO)c(=O)c2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2cnn3ccccc23)cn1; [None]; [None]; [0]
-COc1cc(CCc2ccc(N)nc2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc(N)nc1; ['CC(C)(C)N=C=O']; ['Nc1ccc(N)nc1']; [0.99769634]
-Nc1ccc(-c2cnc3[nH]ccc3c2)cn1; ['Brc1cnc2[nH]ccc2c1']; ['Nc1ccc(B(O)O)cn1']; [0.999974251]
-Nc1ccc(-c2ccc(Cl)c(C(=O)[O-])c2)cn1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc(N)nc1; [None]; [None]; [0]
-CC1(c2ccc(N)nc2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc(N)nc2)CC1; [None]; [None]; [0]
-Nc1ccc(-c2ccc(N3CCOCC3)cc2)cn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999999881, 0.999999881, 0.999999881, 0.999999881]
-Nc1ccc(-n2ccc(CO)n2)cn1; [None]; [None]; [0]
-Nc1ccc([C@@H]2CC[C@@H](NC(=O)O)C2)cn1; [None]; [None]; [0]
-C[C@H](Nc1ccc(N)nc1)C(C)(C)O; [None]; [None]; [0]
-Nc1ccc(-n2cnc(CCO)c2)cn1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N)nc2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@@H](Nc1ccc(N)nc1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccc(N)nc1)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Nc1ccc(I)cn1']; [0.949021518]
-Nc1ccc(-c2ccc(-n3cncn3)cc2)cn1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(-c2nc[nH]n2)cn1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc(N)nc2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc(N)nc1; ['Cc1nc[nH]c1Br']; ['Nc1ccc(B(O)O)cn1']; [0.98653245]
-CC(C)n1cnnc1-c1ccc(N)nc1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc(N)nc1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(-c2nncn2C2CC2)cn1; [None]; [None]; [0]
-Nc1ccc(CCC(=O)NCc2ccccn2)cn1; [None]; [None]; [0]
-C[C@@H](Nc1ccc(N)nc1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Nc1ccc(Br)cn1']; [0.912556589]
-CCc1cc(-c2ccc(N)nc2)nc(N)n1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['CCc1cc(Cl)nc(N)n1']; [0.999998569]
-CCCCc1cc(-c2ccc(N)nc2)nc(N)n1; [None]; [None]; [0]
-Nc1ccc(-c2cn(Cc3ccccc3)nn2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(N)nc2)s1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['CNC(=O)c1ccc(Br)s1']; [0.999998331]
-NC(=O)N1CCC[C@@H]1c1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(-c2csc(N3CCOCC3)n2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2ncc3ccccc3n2)cn1; ['Clc1ncc2ccccc2n1']; ['Nc1ccc(B(O)O)cn1']; [0.997220516]
-Nc1ccc(CC2CCOCC2)cn1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc(N)nc2)[nH]1; [None]; [None]; [0]
-Nc1ccc(-c2ncc3cc[nH]c3n2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Clc1ncc2cc[nH]c2n1']; [0.99987793]
-Nc1ccc(-c2cnccc2N2CCOCC2)cn1; [None]; [None]; [0]
-Cn1cc(-c2ccc(N)nc2)c(=O)n1C; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc(N)nc2)cnn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(O[C@@H]2CC[C@H](O)CC2)cn1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ccc(N)nc2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; [0.999996662]
-Cc1ccc2ncn(-c3ccc(N)nc3)c2c1; [None]; [None]; [0]
-Nc1ccc(-c2cccc(NC(=O)C3CC3)c2)cn1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccc(N)nc3)CC2)c1; [None]; [None]; [0]
-Nc1ccc(-n2ncc3ccccc3c2=O)cn1; ['Nc1ccc(Br)cn1']; ['O=c1[nH]ncc2ccccc12']; [0.968432069]
-CS(=O)(=O)Nc1ccc(-c2ccc(N)nc2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2ccc(C(=O)[O-])cc2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2ccc(C(=O)N3CCOCC3)cc2)cn1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; ['Nc1ccc(Br)cn1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.999999881, 0.999999881]
-Nc1ccc(-c2ccc(C(=O)N3CCOCC3)cn2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc(N)nc2)cc1; [None]; [None]; [0]
-Nc1ccc(Cc2ccccc2)cn1; ['Br[Zn]Cc1ccccc1']; ['Nc1ccc(Br)cn1']; [0.996750832]
-C[C@@H](O)COc1ccc(-c2ccc(N)nc2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1ccc(N)nc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['CN(C)S(=O)(=O)c1ccc(Br)cc1']; [0.999993205]
-CS(=O)(=O)N1CCC(c2ccc(N)nc2)CC1; [None]; [None]; [0]
-Nc1ccc(Cc2cncnc2)cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['CCNS(=O)(=O)c1ccc(Br)cc1']; [0.99998939]
-Nc1ccc(Cc2cnc(N)nc2)cn1; [None]; [None]; [0]
-Nc1ccc([C@H]2CCN(C(=O)c3ccccc3)C2)cn1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccc(N)nc1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc(N)nc2)cc1Cl; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(N)nc2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2ccc(N)nc2)sn1; [None]; [None]; [0]
-Nc1ccc(-c2cc(-c3ccccc3)[nH]n2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2cc(N3CCOCC3)ccn2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc(N)nc3)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1ccc(B(O)O)cn1']; [0.999973416]
-Nc1ccc(-c2cccnc2Oc2ccccc2)cn1; [None]; [None]; [0]
-Nc1ccc([C@@H]2CC[C@@H]([NH3+])CC2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc(N)nc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccc(N)nc1; [None]; [None]; [0]
-CCCCCc1ccc(N)nc1; ['CCCCC[Mg]Br']; ['Nc1ccc(Br)cn1']; [0.928034723]
-CCN1CCN(Cc2ccc(-c3ccc(N)nc3)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1ccc(Br)cn1']; [0.889571249]
-CC(C)(C)c1ccc(-c2ccc(N)nc2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc(N)nc2)c1; [None]; [None]; [0]
-Nc1ccc(CCCn2cncn2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2ncc3cccn3n2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2cc3ccccn3n2)cn1; [None]; [None]; [0]
-CC[NH+](CC)c1ccc(N)nc1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccc(N)nc3)ccc2O1; [None]; [None]; [0]
-Nc1ccc(-c2ncc(Cl)cn2)cn1; ['Clc1cnc(Cl)nc1']; ['Nc1ccc(B(O)O)cn1']; [0.997976363]
-COc1cc(-c2ccc(N)nc2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1csc2c(-c3ccc(N)nc3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1ccc(B(O)O)cn1']; [0.999865174]
-COc1ccc(OC)c(Cc2ccc(N)nc2)c1; ['COc1ccc(OC)c(C[Zn]Cl)c1']; ['Nc1ccc(Br)cn1']; [0.984590292]
-Nc1ccc(-c2ccc(N3CCCCC3)cc2)cn1; ['Brc1ccc(N2CCCCC2)cc1', 'Brc1ccc(N2CCCCC2)cc1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; [0.999999523, 0.999999523]
-NC(=O)c1ccc(Cc2ccc(N)nc2)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc(N)nc2)CC1; [None]; [None]; [0]
-Nc1ccc(-c2cccc(-n3nccn3)c2)cn1; [None]; [None]; [0]
-Nc1ccc(NC(=O)c2ccco2)cn1; ['Nc1ccc(N)nc1']; ['O=C(O)c1ccco1']; [0.980389416]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc(N)nc2)CC1; [None]; [None]; [0]
-Nc1ccc(-c2cc(F)cc3c2OCOC3)cn1; [None]; [None]; [0]
-Nc1ccc(Cc2ccc(S(=O)(=O)CCO)cc2)cn1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ccc(N)nc2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1']; ['Nc1ccc(N)nc1']; [0.999329448]
-C[NH+](C)Cc1ccc(-c2ccc(N)nc2)cc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc(N)nc2)CC1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccc(N)nc1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc(N)nc3)cc2c1; [None]; [None]; [0]
-Nc1ccc(-c2cc(-c3cccnc3)ccn2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['CNC(=O)c1ccc(OC)c(Br)c1']; [0.999996662]
-Nc1ccc(-c2ncc3sccc3n2)cn1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc(N)nc1; [None]; [None]; [0]
-Cc1nc(-c2ccc(N)nc2)c2sccc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc(N)nc2)cc1; [None]; [None]; [0]
-Nc1ccc(-c2cccc(NC(=O)N3CCCC3)c2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2ncc3cc(Cl)ccc3n2)cn1; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc(N)nc3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Nc1ccc(C(=O)O)cn1']; [0.996544778]
-Nc1ccc(-c2ccc(C(=O)[O-])c(Cl)c2)cn1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccc(N)nc2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc(N)nc3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['Nc1ccc(Br)cn1']; [0.99965179]
-Cc1cc(-c2ccc(N)nc2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(N)nc2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['CN(C)c1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1']; [0.999984622, 0.999984622, 0.999984622]
-C[NH+](C)CCCc1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(C2CCC(F)(F)CC2)cn1; [None]; [None]; [0]
-Nc1ccc(C2CCS(=O)(=O)CC2)cn1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc(N)nc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc(N)nc2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['CCNC(=O)c1ccc(Br)cc1']; [0.99999845]
-Cc1cc(N2CCOCC2)ccc1-c1ccc(N)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(N)nc2)c(OC)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['CNC(=O)c1ccc(Br)c(OC)c1']; [0.999998]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc(N)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccc(N)nc2)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1ccc(N)nc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc(F)ccc2O)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['OB(O)c1cc(F)ccc1O']; [0.996440828]
-COc1cccc(N2CCC(c3cc(F)ccc3O)CC2)c1; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ccc(N2CCOCC2)cc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1']; ['Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C']; [0.999998331, 0.999998331]
-Cc1ccc2ncn(-c3cc(F)ccc3O)c2c1; ['Cc1ccc2nc[nH]c2c1']; ['Oc1ccc(F)cc1Br']; [0.9847579]
-O=C(Nc1cccc(-c2cc(F)ccc2O)c1)C1CC1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cc(F)ccc1O; ['O=c1[nH]ncc2ccccc12', 'O=c1[nH]ncc2ccccc12']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl']; [0.999027, 0.999027]
-Oc1ccc(F)cc1-c1ccccc1; ['Oc1ccc(F)cc1Br']; ['c1ccccc1']; [0.9852705]
-CS(=O)(=O)Nc1ccc(-c2cc(F)ccc2O)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
-Oc1ccc(F)cc1Cc1ccccc1; ['ClCc1ccccc1']; ['Oc1ccc(F)cc1']; [0.864694238]
-O=C(c1ccc(-c2cc(F)ccc2O)cc1)N1CCOCC1; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999815285, 0.999815285]
-CN(C)S(=O)(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Oc1ccc(F)cc1Br', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999997377, 0.999997377, 0.999997377, 0.999997377]
-O=C(c1ccc(-c2cc(F)ccc2O)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc(F)ccc1O; [None]; [None]; [0]
-Oc1ccc(F)cc1Cc1cncnc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc(F)ccc2O)CC1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
-Oc1ccc(F)cc1C1CCCCC1; [None]; [None]; [0]
-Nc1ncc(Cc2cc(F)ccc2O)cn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(F)ccc2O)cc1Cl; ['COc1ccc(Cl)c(OC)c1', 'COc1ccc(Cl)c(OC)c1']; ['Oc1ccc(F)cc1I', 'Nc1cc(F)ccc1O']; [0.984529197, 0.984529197]
-O=C(c1ccccc1)N1CC[C@H](c2cc(F)ccc2O)C1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc(F)ccc1O; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(F)ccc2O)cc1Cl; ['CN(C)c1ccccc1Cl']; ['Oc1ccc(F)cc1I']; [0.848120093]
-Oc1ccc(F)cc1-c1cc(-c2ccccc2)[nH]n1; []; []; []
-Cc1cc(-c2cc(F)ccc2O)sn1; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cc(F)ccc2O)CC1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc(F)ccc1O; ['CC(C)(C)N=C=O']; ['Nc1cc(F)ccc1O']; [0.998962402]
-COc1cccc(C(=O)N2CCC(c3cc(F)ccc3O)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999798357, 0.999798357, 0.999798357]
-CC(C)(C)c1ccc(-c2cc(F)ccc2O)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc(F)ccc2O)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1']; ['Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O']; [0.99621588, 0.99621588]
-Oc1ccc(F)cc1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc(F)ccc1O; [None]; [None]; [0]
-Oc1ccc(F)cc1C1CCOCC1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(F)ccc2O)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(F)ccc3O)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['OB(O)c1cc(F)ccc1O']; [0.996268511]
-CCCCCc1cc(F)ccc1O; [None]; [None]; [0]
-CC[NH+](CC)c1cc(F)ccc1O; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ncc2cccn2n1; [None]; [None]; [0]
-Oc1ccc(F)cc1CCCn1cncn1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc(F)ccc3O)ccc2O1; [None]; [None]; [0]
-COc1cc(-c2cc(F)ccc2O)ccc1N1CCOCC1; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ccc(N2CCCCC2)cc1; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCCCC2)cc1', 'OB(O)c1ccc(N2CCCCC2)cc1', 'OB(O)c1ccc(N2CCCCC2)cc1', 'Brc1ccc(N2CCCCC2)cc1']; ['Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.999996185, 0.999996185, 0.999996185, 0.999996185, 0.999996185]
-Oc1ccc(F)cc1-c1cc2ccccn2n1; [None]; [None]; [0]
-Cc1csc2c(-c3cc(F)ccc3O)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['OB(O)c1cc(F)ccc1O']; [0.996663511]
-Oc1ccc(F)cc1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ncc(Cl)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cc(F)ccc2O)cc1; ['NC(=O)c1ccc(CCl)cc1']; ['Oc1ccc(F)cc1']; [0.893502]
-O=S(=O)(CCO)c1ccc(Cc2cc(F)ccc2O)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc(F)ccc2O)c1; ['COc1ccc(OC)c(CO)c1']; ['Oc1ccc(F)cc1']; [0.995691478]
-CO[C@@H]1CC[C@@H](c2cc(F)ccc2O)CC1; [None]; [None]; [0]
-O=C(Nc1cc(F)ccc1O)c1ccco1; ['Nc1cc(F)ccc1O']; ['O=C(Cl)c1ccco1']; [0.978182793]
-CCNC(=O)N1CCC(c2cc(F)ccc2O)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc(F)ccc2O)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cc(F)ccc2O)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1']; ['Nc1cc(F)ccc1O']; [0.999634504]
-Oc1ccc(F)cc1-c1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(F)ccc3O)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc(F)ccc2O)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['OB(O)c1cc(F)ccc1O']; [0.996632516]
-Cn1cc(Br)cc1-c1cc(F)ccc1O; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
-Cc1nc(-c2cc(F)ccc2O)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc(F)ccc1O; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(F)ccc3O)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c([N+](=O)[O-])c1']; ['O=Cc1cc(F)ccc1O', 'O=Cc1cc(F)ccc1O']; [0.999250233, 0.999250233]
-O=C(Nc1cccc(-c2cc(F)ccc2O)c1)N1CCCC1; [None]; [None]; [0]
-Oc1ccc(F)cc1-c1ncc2sccc2n1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc(F)ccc2O)cc1Cl; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
-Cn1cc(-c2cc(F)ccc2O)c2ccccc21; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(F)ccc3O)ccc21; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999975324, 0.999975324]
-Cc1cc(-c2cc(F)ccc2O)cc(C)c1OCCO; [None]; [None]; [0]
-Oc1ccc(F)cc1OC(F)(F)F; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc(F)ccc3O)ccc12; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Cc1n[nH]c2cc(Br)ccc12']; ['Cc1n[nH]c2cc(Br)ccc12', 'OB(O)c1cc(F)ccc1O']; [0.999974489, 0.999974489]
-C[NH+](C)CCCc1cc(F)ccc1O; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc(F)ccc2O)n1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cc(F)ccc2O)CC1; ['O=C1CCS(=O)(=O)CC1']; ['Oc1ccc(F)cc1Br']; [0.926982641]
-CN(C)c1ccc(-c2cc(F)ccc2O)cn1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)c1ccc(Br)cn1']; ['CN(C)c1ccc(Br)cn1', 'OB(O)c1cc(F)ccc1O']; [0.999977946, 0.999977946]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc(F)ccc1O; [None]; [None]; [0]
-Oc1ccc(F)cc1C1CCC(F)(F)CC1; [None]; [None]; [0]
-Oc1ccc(F)cc1CC1CCOCC1; ['O=C(Cl)C1CCOCC1']; ['Oc1ccc(F)cc1']; [0.870701551]
-CN(C)C(=O)c1ccc(-c2cc(F)ccc2O)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc(F)ccc1O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(F)ccc2O)c(OC)c1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['CNC(=O)c1ccc(Br)c(OC)c1', 'OB(O)c1cc(F)ccc1O']; [0.999947786, 0.999947786]
-CCNC(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.999624252, 0.999624252]
-C[NH+](C)CCCOc1cc(F)ccc1O; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc(F)ccc1O; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc(F)ccc2O)c1; [None]; [None]; [0]
-c1ccc2nc(-c3ccc4nccnc4c3)ncc2c1; ['Nc1ccccc1CO', 'NCc1ccccc1N']; ['O=Cc1ccc2nccnc2c1', 'O=Cc1ccc2nccnc2c1']; [0.997177124, 0.997177124]
-CC(=O)N(C)c1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc4nccnc4c3)c2c1; ['Brc1ccc2nccnc2c1']; ['Cc1ccc2[nH]cnc2c1']; [0.999634504]
-c1cnc2cc(-c3ccc(N4CCOCC4)cc3)ccc2n1; ['Brc1ccc2nccnc2c1']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999994278]
-COc1cccc(N2CCC(c3ccc4nccnc4c3)CC2)c1; [None]; [None]; [0]
-c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1']; ['OB(O)c1ccccc1']; [0.999254525]
-O=c1c2ccccc2cnn1-c1ccc2nccnc2c1; ['Brc1ccc2nccnc2c1']; ['O=c1[nH]ncc2ccccc12']; [0.974979222]
-O=C(Nc1cccc(-c2ccc3nccnc3c2)c1)C1CC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccc3nccnc3c2)cn1; [None]; [None]; [0]
-O=C(c1ccc(-c2ccc3nccnc3c2)cc1)N1CCOCC1; ['Brc1ccc2nccnc2c1']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.999996901]
-c1ccc(Cc2ccc3nccnc3c2)cc1; ['OCc1ccc2nccnc2c1']; ['c1ccccc1']; [0.778582096]
-O=C(c1ccc(-c2ccc3nccnc3c2)nc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; [0.999999523, 0.999999523]
-C[C@@H](O)COc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-c1cnc2cc(C3CCCCC3)ccc2n1; ['BrC1CCCCC1']; ['Brc1ccc2nccnc2c1']; [0.9955585]
-CNS(=O)(=O)Cc1ccc2nccnc2c1; [None]; [None]; [0]
-Nc1ncc(Cc2ccc3nccnc3c2)cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
-c1ncc(Cc2ccc3nccnc3c2)cn1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2ccc3nccnc3c2)C1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc3nccnc3c2)cc1Cl; ['Brc1ccc2nccnc2c1']; ['COc1ccc(Cl)c(OC)c1']; [0.845261455]
-Cc1cc(-c2ccc3nccnc3c2)sn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3nccnc3c2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc4nccnc4c3)CC2)c1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3ccc4nccnc4c3)n[nH]2)cc1; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(-c2ccc3nccnc3c2)n1; ['Brc1ccc2nccnc2c1']; ['c1cc(N2CCOCC2)ccn1']; [0.996284604]
-CC(C)(C)NC(=O)Nc1ccc2nccnc2c1; ['CC(C)(C)N=C=O']; ['Nc1ccc2nccnc2c1']; [0.99984467]
-c1ccc(Oc2ncccc2-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999999762]
-[NH3+][C@@H]1CC[C@@H](c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc3nccnc3c2)cn1; [None]; [None]; [0]
-c1cnc2cc(C3CCOCC3)ccc2n1; ['BrC1CCOCC1']; ['Brc1ccc2nccnc2c1']; [0.99981612]
-COc1cccc(C(=O)Nc2ccc3nccnc3c2)c1; ['COC(=O)c1cccc(OC)c1']; ['Nc1ccc2nccnc2c1']; [0.998637]
-CCN1CCN(Cc2ccc(-c3ccc4nccnc4c3)cc2)CC1; [None]; [None]; [0]
-c1cnc2cc(CCCn3cncn3)ccc2n1; [None]; [None]; [0]
-CCCCCc1ccc2nccnc2c1; [None]; [None]; [0]
-CC[NH+](CC)c1ccc2nccnc2c1; [None]; [None]; [0]
-c1cc2cnc(-c3ccc4nccnc4c3)nn2c1; [None]; [None]; [0]
-c1ccn2nc(-c3ccc4nccnc4c3)cc2c1; [None]; [None]; [0]
-COc1cc(-c2ccc3nccnc3c2)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccc4nccnc4c3)ccc2O1; [None]; [None]; [0]
-c1cnc2cc(-c3ccc(N4CCCCC4)cc3)ccc2n1; [None]; [None]; [0]
-Clc1cnc(-c2ccc3nccnc3c2)nc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc3nccnc3c2)c1; ['COc1ccc(OC)cc1']; ['OCc1ccc2nccnc2c1']; [0.764532447]
-c1cc(-c2ccc3nccnc3c2)cc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1csc2c(-c3ccc4nccnc4c3)ncnc12; [None]; [None]; [0]
-O=C(Nc1ccc2nccnc2c1)c1ccco1; ['Nc1ccc2nccnc2c1']; ['O=C(Cl)c1ccco1']; [0.999991298]
-O=S(=O)(CCO)c1ccc(Cc2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-Fc1cc2c(c(-c3ccc4nccnc4c3)c1)OCOC2; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc4nccnc4c3)cc2c1; ['Brc1ccc2nccnc2c1']; ['COc1ccc2occc2c1']; [0.999892]
-C[NH+](C)Cc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc3nccnc3c2)c1; ['Brc1ccc2nccnc2c1']; ['CNC(=O)c1ccc(OC)c(Br)c1']; [0.990837216]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ccc3nccnc3c2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1']; [0.999998569, 0.999998569]
-c1cncc(-c2ccnc(-c3ccc4nccnc4c3)c2)c1; [None]; [None]; [0]
-c1cnc2cc(-c3ncc4sccc4n3)ccc2n1; [None]; [None]; [0]
-Cc1nc(-c2ccc3nccnc3c2)c2sccc2n1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-Clc1ccc2nc(-c3ccc4nccnc4c3)ncc2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc4nccnc4c3)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1']; ['O=C(O)c1ccc2nccnc2c1', 'O=Cc1ccc2nccnc2c1']; [0.995468, 0.995468]
-O=C(Nc1cccc(-c2ccc3nccnc3c2)c1)N1CCCC1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc2nccnc2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc3nccnc3c2)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2ccc3nccnc3c2)c2ccccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccc3nccnc3c2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4nccnc4c3)ccc21; ['Brc1ccc2nccnc2c1']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999998]
-Cc1cc(-c2ccc3nccnc3c2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3nccnc3c2)cn1; [None]; [None]; [0]
-C[NH+](C)CCCc1ccc2nccnc2c1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc4nccnc4c3)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-FC1(F)CCC(c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-c1cnc2cc(CC3CCOCC3)ccc2n1; [None]; [None]; [0]
-O=S1(=O)CCC(c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3nccnc3c2)c(OC)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3nccnc3c2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1']; ['CCNC(=O)c1ccc(B(O)O)cc1']; [0.999987841]
-C[NH+](C)CCCOc1ccc2nccnc2c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccc3nccnc3c2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-Cc1cc(-c2ncc3ccccc3n2)[nH]n1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cc(C)n[nH]3)c2c1; [None]; [None]; [0]
-Cc1cc(-c2ccccc2)[nH]n1; []; []; []
-COc1cccc(N2CCC(c3cc(C)n[nH]3)CC2)c1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N3CCOCC3)cc2)[nH]n1; ['Cc1cc(Cl)[nH]n1']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999942541]
-Cc1cc(-c2cccc(NC(=O)C3CC3)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)[O-])cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-n2ncc3ccccc3c2=O)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(NS(C)(=O)=O)nc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)[nH]n1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Cc2ccccc2)[nH]n1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc(C)n[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccc(OC[C@@H](C)O)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(S(=O)(=O)N(C)C)cc2)[nH]n1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1cc(Cl)[nH]n1']; [0.999741614]
-Cc1cc(C2CCN(S(C)(=O)=O)CC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(C2CCCCC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Cc2cncnc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Cc2cnc(N)nc2)[nH]n1; [None]; [None]; [0]
-Cc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)[nH]n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cccc(C(=O)[O-])c2C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N(C)C)c(Cl)c2)[nH]n1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(C)n[nH]2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cc(C)ns2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cc(N3CCOCC3)ccn2)[nH]n1; [None]; [None]; [0]
-Cc1cc(NC(=O)NC(C)(C)C)[nH]n1; ['CC(C)(C)N=C=O']; ['Cc1cc(N)[nH]n1']; [0.999610364]
-Cc1cc(-c2cc(-c3ccccc3)[nH]n2)[nH]n1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc(C)n[nH]3)CC2)c1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)N(C)C)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H]([NH3+])CC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cccnc2Oc2ccccc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(C)(C)C)nc2)[nH]n1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc(C)n[nH]2)c1; ['COc1cccc(C(=O)O)c1']; ['Cc1cc(N)[nH]n1']; [0.999461591]
-COc1cc(N2CCOCC2)ccc1-c1cc(C)n[nH]1; [None]; [None]; [0]
-CCCCCc1cc(C)n[nH]1; []; []; []
-CC(=O)N[C@@H]1CC[C@@H](c2cc(C)n[nH]2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(C)n[nH]3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(C2CCOCC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ncc3cccn3n2)[nH]n1; [None]; [None]; [0]
-CC[NH+](CC)c1cc(C)n[nH]1; [None]; [None]; [0]
-Cc1cc(CCCn2cncn2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)CC(C)(C)O3)[nH]n1; [None]; [None]; [0]
-COc1cc(-c2cc(C)n[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cc(-c2cc3ccccn3n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N3CCCCC3)cc2)[nH]n1; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C', 'Cc1cc(Cl)[nH]n1']; ['Cc1cc(Cl)[nH]n1', 'OB(O)c1ccc(N2CCCCC2)cc1']; [0.999989867, 0.999989867]
-Cc1cc(-c2ncc(Cl)cn2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ncnc3c(C)csc23)[nH]n1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc(C)n[nH]2)c1; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccco2)[nH]n1; ['Cc1cc(N)[nH]n1']; ['O=C(Cl)c1ccco1']; [0.993853211]
-Cc1cc(-c2cccc(-n3nccn3)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Cc2ccc(C(N)=O)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(Cc2ccc(S(=O)(=O)CCO)cc2)[nH]n1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc(C)n[nH]2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc(C)n[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cc(F)cc3c2OCOC3)[nH]n1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)[nH]n1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(C)n[nH]3)cc2c1; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccc(C(C)(C)C)cc2)[nH]n1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1']; ['Cc1cc(N)[nH]n1']; [0.999973297]
-Cc1cc(-c2ccc(C[NH+](C)C)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cc(Br)cn2C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cc(-c3cccnc3)ccn2)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc(C)n[nH]2)c1; [None]; [None]; [0]
-Cc1cc(-c2ncc3sccc3n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2nc(C)nc3ccsc23)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cn(C)nc2C(C)C)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ncc3cc(Cl)ccc3n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cccc(NC(=O)N3CCCC3)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(OC(F)(F)F)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)[O-])c(Cl)c2)[nH]n1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(C)n[nH]3)[nH]c2c1; [None]; [None]; [0]
-Cc1cc(-c2cccc(N3CCC[C@@H]3C)n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cn(C)c3ccccc23)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2cc(C)c(OCCO)c(C)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N(C)C)nc2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(cnn3C)c2)[nH]n1; ['Cc1cc(I)[nH]n1']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999999762]
-Cc1cc(-c2ccc3c(C)n[nH]c3c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(CCC[NH+](C)C)[nH]n1; [None]; [None]; [0]
-Cc1cc(C2CCC(F)(F)CC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(C2CCS(=O)(=O)CC2)[nH]n1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc(C)n[nH]1; [None]; [None]; [0]
-Cc1cc(CC2CCOCC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)N(C)C)cc2Cl)[nH]n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(N3CCOCC3)cc2C)[nH]n1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(C)n[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(C)n[nH]2)c(OC)c1; [None]; [None]; [0]
-Cc1cc(OCCC[NH+](C)C)[nH]n1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2ccc(C)cn2)cc1; ['CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1']; [0.999477804, 0.999477804]
-Cc1cc(-c2cc(C(=O)NCCO)ccc2C)[nH]n1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(N3CCOCC3)cc2)nc1; ['Cc1ccc(N)nc1', 'Brc1ccc(N2CCOCC2)cc1']; ['Ic1ccc(N2CCOCC2)cc1', 'Cc1ccc(N)nc1']; [0.99897927, 0.99897927]
-CNC(=O)c1ccc(C)c(-c2cc(C)n[nH]2)c1; [None]; [None]; [0]
-Cc1ccc(Nc2ncc3ccccc3n2)nc1; ['Cc1ccc(Cl)nc1']; ['Nc1ncc2ccccc2n1']; [0.999824226]
-COc1cccc(N2CCC(Nc3ccc(C)cn3)CC2)c1; [None]; [None]; [0]
-Cc1ccc(Nc2ccccc2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cccc(NC(=O)C3CC3)c2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(NS(C)(=O)=O)nc2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(C(=O)[O-])cc2)nc1; ['Cc1ccc(Cl)nc1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.805402]
-Cc1ccc(Nc2ccc(C(=O)N3CCOCC3)cc2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.999939322, 0.999939322]
-CC(=O)NCc1ccc(Nc2ccc(C)cn2)cc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(S(=O)(=O)N(C)C)cc2)nc1; ['CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Cc1ccc(N)nc1']; [0.994674683]
-Cc1ccc(Nc2ccc(C(=O)N3CCOCC3)cn2)nc1; [None]; [None]; [0]
-Cc1ccc(NC2CCCCC2)nc1; ['Cc1ccc(F)nc1', 'Cc1cccnc1']; ['NC1CCCCC1', 'NC1CCCCC1']; [0.995853901, 0.995853901]
-Cc1ccc(Nc2ccc(OC[C@@H](C)O)cc2)nc1; [None]; [None]; [0]
-Cc1ccc(NC2CCN(S(C)(=O)=O)CC2)nc1; ['CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1']; [0.999971151, 0.999971151]
-CCNS(=O)(=O)c1ccc(Nc2ccc(C)cn2)cc1; [None]; [None]; [0]
-Cc1ccc(N[C@H]2CCN(C(=O)c3ccccc3)C2)nc1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2ccc(C)cn2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N']; ['Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1']; [0.999029279, 0.999029279]
-Cc1ccc(Nc2ccc(N(C)C)c(Cl)c2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cccc(C(=O)[O-])c2C)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(N3CCOCC3)ccn2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(-c3ccccc3)[nH]n2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(C)ns2)nc1; [None]; [None]; [0]
-Cc1ccc(N[C@@H]2CC[C@@H]([NH3+])CC2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cccnc2Oc2ccccc2)nc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3ccc(C)cn3)CC2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2ccc(C)cn2)CC1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(C(=O)N(C)C)cc2)nc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1']; [0.999690771, 0.999690771, 0.999690771]
-COCCNc1ccc(C)cn1; ['COCCN']; ['Cc1ccc(F)nc1']; [0.999622583]
-Cc1ccc(Nc2ccc(C(C)(C)C)nc2)nc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1ccc(C)cn1; ['COc1cc(N2CCOCC2)ccc1N']; ['Cc1ccc(Br)nc1']; [0.999937654]
-CCN1CCN(Cc2ccc(Nc3ccc(C)cn3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1']; ['Cc1ccc(Cl)nc1']; [0.992523253]
-COc1cccc(C(=O)NNc2ccc(C)cn2)c1; ['COc1cccc(C(=O)NN)c1']; ['Cc1ccc(Cl)nc1']; [0.979356885]
-Cc1ccc(Nc2ncc3cccn3n2)nc1; [None]; [None]; [0]
-Cc1ccc(NC2CCOCC2)nc1; ['Cc1ccc[n+]([O-])c1']; ['NC1CCOCC1']; [0.999962807]
-COc1cc(Nc2ccc(C)cn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc3c(c2)CC(C)(C)O3)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(N3CCCCC3)cc2)nc1; ['Brc1ccc(N2CCCCC2)cc1']; ['Cc1ccc(N)nc1']; [0.988589048]
-Cc1ccc(Nc2cc3ccccn3n2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ncnc3c(C)csc23)nc1; ['Cc1ccc(N)nc1']; ['Cc1csc2c(Cl)ncnc12']; [0.999928236]
-Cc1ccc(Nc2cccc(-n3nccn3)c2)nc1; ['Cc1ccc(Br)nc1']; ['Nc1cccc(-n2nccn2)c1']; [0.999991894]
-Cc1ccc(Nc2ncc(Cl)cn2)nc1; ['Cc1ccc(Br)nc1']; ['Nc1ncc(Cl)cn1']; [0.997152567]
-CCNC(=O)N1CCC(Nc2ccc(C)cn2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2ccc(C)cn2)CC1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(F)cc3c2OCOC3)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(C[NH+](C)C)cc2)nc1; [None]; [None]; [0]
-COc1ccc2oc(Nc3ccc(C)cn3)cc2c1; [None]; [None]; [0]
-Cc1ccc(N[C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2ccc(C)cn2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1']; [0.998894274, 0.998894274]
-Cc1ccc(Nc2nc(C)nc3ccsc23)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(-c3cccnc3)ccn2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ncc3sccc3n2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ncc3cc(Cl)ccc3n2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cn(C)nc2C(C)C)nc1; [None]; [None]; [0]
-COc1ccc2nc(Nc3ccc(C)cn3)[nH]c2c1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(C(=O)N3CCC[C@@H]3C)cc2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cccc(NC(=O)N3CCCC3)c2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cccc(N3CCC[C@@H]3C)n2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(C(=O)[O-])c(Cl)c2)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cn(C)c3ccccc23)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(C)c(OCCO)c(C)c2)nc1; [None]; [None]; [0]
-Cc1ccc(NC2CCC(F)(F)CC2)nc1; ['Cc1ccc(F)nc1']; ['NC1CCC(F)(F)CC1']; [0.999773085]
-Cc1ccc(Nc2ccc(N(C)C)nc2)nc1; ['CN(C)c1ccc(Br)cn1']; ['Cc1ccc(N)nc1']; [0.996368051]
-Cc1ccc(Nc2ccc3c(C)n[nH]c3c2)nc1; ['Cc1ccc(N)nc1']; ['Cc1n[nH]c2cc(Br)ccc12']; [0.999655485]
-Cc1ccc(NC2CCS(=O)(=O)CC2)nc1; ['Cc1ccc(Cl)nc1']; ['NC1CCS(=O)(=O)CC1']; [0.999925137]
-Cc1ccc(Nc2ccc(N3CCOCC3)cc2C)nc1; ['Cc1cc(N2CCOCC2)ccc1N']; ['Cc1ccc(Br)nc1']; [0.999987125]
-COc1cc(N2CCC(O)CC2)ccc1Nc1ccc(C)cn1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc(C(=O)N(C)C)cc2Cl)nc1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2ccc(C)cn2)cc1; [None]; [None]; [0]
-Cc1ccc(N[C@H](C)CS(C)(=O)=O)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ccc(C)cn2)c(OC)c1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(C(=O)NCCO)ccc2C)nc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C#N)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2ccc(C)cn2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(N(C)C(C)=O)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cc(CO)ncc2OC)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccnc1OC; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc(CO)ncc3OC)CC2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1c[nH]nc1C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(OC)c(OC)c(OC)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnnn1C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnn(C)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(O)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnc2cccnn12; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cn(C)nc1C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cc(CO)ncc2OC)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(NS(C)(=O)=O)nc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1Nc1ncccn1; [None]; [None]; [0]
-COc1cnc(CO)cc1Cc1nccc2ccccc12; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(F)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1CCCO; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(Cl)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(OCCO)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(CNC(C)=O)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(C)n(C)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc(CO)ncc2OC)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(N(C)C)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1sc(C)nc1C; [None]; [None]; [0]
-COc1cnc(CO)cc1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
-COc1cnc(CO)cc1C1CCCCC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cncnc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(CO)ncc2OC)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnc(Cl)nc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(Br)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cn[nH]c1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(C)ns1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(CO)ncc2OC)cc1Cl; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc[nH]1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc2ccccc2cn1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(NC(C)=O)c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc(CO)ncc3OC)CC2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc2c1OCO2; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1scc2c1OCCO2; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(F)c(F)c1; [None]; [None]; [0]
-COc1cc(-c2cc(CO)ncc2OC)ccc1O; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnc2ccccc2c1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CC[C@@H]([NH3+])CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccco1; [None]; [None]; [0]
-COCCc1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc(CO)ncc2OC)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(SC)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(CO)ncc3OC)cc2)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(C)nc(N)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1C1CCOCC1; [None]; [None]; [0]
-CC[C@@H](CO)c1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(F)cc1Cl; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ncc(Br)cn1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
-COc1ccc(-c2cc(CO)ncc2OC)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2cc(CO)ncc2OC)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccsc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(N2CCOCC2)c(OC)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ncc2cccn2n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc2ccccn2n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(C)cc(C)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc(CO)ncc3OC)c2c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-COc1cc(-c2cc(CO)ncc2OC)ccc1Cl; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(CO)ncc2OC)cc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ncc(Cl)cn1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ncnc2c(C)csc12; [None]; [None]; [0]
-COc1cc(-c2cc(CO)ncc2OC)c(OC)cc1Br; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C)o1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CC[C@@H](OC)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc(CO)ncc2OC)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CC[C@@H](NC(=O)NC(C)C)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(CO)ncc2OC)c1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(CO)ncc3OC)cc2c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc(CO)ncc2OC)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc2ccccc2o1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nc(C)nc2ccsc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(CO)ncc2OC)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cn(C)nc1C(C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ncc2sccc2n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(CO)ncc3OC)[nH]c2c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cscn1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(=O)[O-])c(Cl)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(N2CCC[C@@H]2C)n1; [None]; [None]; [0]
-CCc1cccc(-c2cc(CO)ncc2OC)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C)c(C)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(C)c(OCCO)c(C)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(N(C)C)nc1; [None]; [None]; [0]
-COc1cnc(CO)cc1C1CCS(=O)(=O)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(CCO)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1C1CCC(F)(F)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(N2CCOCC2)cc1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(CO)ncc2OC)c(OC)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(CO)ncc2OC)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@H](C)CS(C)(=O)=O; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(C(=O)NCCO)ccc1C; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc(CO)ncc2OC)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1CCC(C)(C)OC; [None]; [None]; [0]
-CCOc1ccccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1-c1nnc(C)[nH]1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1S(=O)(=O)C(C)C; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccnc2ccccc12; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc[nH]n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1P(C)(C)=O; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(C)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccnc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1Br; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1Cl; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1F; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1OC(F)(F)F; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1C#N; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1c(F)cccc1F; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccccc1C(N)=O; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H](N)c1ccco1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccncn1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnn(CCO)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CC[C@@H](CO)OC1; [None]; [None]; [0]
-COc1cnc(-c2cc(CO)ncc2OC)nc1; [None]; [None]; [0]
-COc1cnc(CO)cc1CC1CCCCC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc2c(c1)CCC2; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C)cc1Br; [None]; [None]; [0]
-COc1cnc(CO)cc1OCC(=O)C(C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnco1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnc2ccccn12; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc(CO)ncc2OC)s1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1c(C)nc2ccccn12; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1sc(N)nc1C; [None]; [None]; [0]
-COc1cnc(CO)cc1OC1CCCCC1; [None]; [None]; [0]
-COc1cnc(CO)cc1NC(C)(C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1NCc1cccnc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(C)ccc1Cl; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(Cl)c1Cl; [None]; [None]; [0]
-CCC(C)(C)c1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnc(C)[nH]1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccnc(N)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(Cl)s1; [None]; [None]; [0]
-COc1cccc(-c2cc(CO)ncc2OC)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-n1cnc2ccccc21; [None]; [None]; [0]
-COc1cnc(CO)cc1N[C@H](C)CO; [None]; [None]; [0]
-COc1cnc(CO)cc1Nc1cccnc1; [None]; [None]; [0]
-COc1cnc(CO)cc1OCC(C)C; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1NCCc1c[nH]cn1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
-COc1cnc(CO)cc1O[C@H](C)[C@@H](C)O; [None]; [None]; [0]
-COc1cnc(CO)cc1NCCc1ccccc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cncc2ccccc12; [None]; [None]; [0]
-COc1cnc(CO)cc1NC(=O)c1cccs1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
-CCCCc1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1CCC[NH3+]; [None]; [None]; [0]
-COc1cnc(CO)cc1O[C@@H](C)C[NH+](C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(-c2cnn(C)c2)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CCC[C@H]([NH3+])C1; [None]; [None]; [0]
-CCCn1cnc(-c2cc(CO)ncc2OC)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cncn1C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(CO)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1c[nH]c(SC)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccs1; [None]; [None]; [0]
-COc1cnc(CO)cc1NC(C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1Nc1ccncc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1csc2ncncc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc(CO)ncc3OC)cc2s1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnoc1C(C)C; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc(CO)ncc2OC)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1OC(F)(F)F; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(CCC#N)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1N1CCC(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CCC(=O)Nc1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1ccc(-c2cc(CO)ncc2OC)cc1Cl; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnoc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(C)on1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H](C)C(F)(F)F; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccn([C@@H2]CO)c(=O)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc[nH]c(=O)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnn2ccccc12; [None]; [None]; [0]
-CCCn1cc(-c2cc(CO)ncc2OC)cn1; [None]; [None]; [0]
-COc1cc(CCc2cc(CO)ncc2OC)cc(OC)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1NC(=O)NC(C)(C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc2c1C(=O)CC2; [None]; [None]; [0]
-CCOC(=O)Cc1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
-CCN(CC)c1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(Cl)c(C(=O)[O-])c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc([S@](C)=O)cc1; [None]; [None]; [0]
-COc1ccncc1Nc1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
-COc1cnc(CO)cc1Nc1cnc2ccccc2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
-COc1cnc(CO)cc1C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CC[C@@H](NC(=O)O)C1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CC[C@@H](C#N)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CCCN(C(=O)CC#N)C1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CC[C@@H](CC#N)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@H]1COCC[C@@H]1C#N; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@@H]1CC[C@@H](CCC#N)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(S(=O)(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(C)nn1-c1cccc(Cl)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-n1cnc(CCO)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-n1ccc(CO)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1N[C@H](C)C(C)(C)O; [None]; [None]; [0]
-COc1cnc(CO)cc1N[C@@H](C)C(C)(C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1N[C@@H](C)C(C)(C)O; [None]; [None]; [0]
-COc1cnc(CO)cc1-n1ncc2c(O)cccc21; [None]; [None]; [0]
-COc1cnc(CO)cc1-n1ncc2ccccc21; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(F)c1C(N)=O; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccnc1O; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nc[nH]n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1[nH]c(SC)nc1C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1[nH]cnc1C; [None]; [None]; [0]
-COc1ccc(-c2cc(CO)ncc2OC)c(OC)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1Cc1ccncc1; [None]; [None]; [0]
-COc1cnc(CO)cc1NCC(C)(C)[NH3+]; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nncn1C(C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nncn1[C@H](C)CO; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nncn1C; [None]; [None]; [0]
-COc1cnc(CO)cc1CCC(=O)NCc1ccccn1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nncn1C1CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1N[C@H](C)C(C)(C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1OC1CCOCC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-n1ccnc1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-CCCCc1cc(-c2cc(CO)ncc2OC)nc(N)n1; [None]; [None]; [0]
-CCc1cc(-c2cc(CO)ncc2OC)nc(N)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnc(N)s1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cncc(C)n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nnc(N)s1; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@H]1CCCN1C(N)=O; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(CO)ncc2OC)s1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nc2ccccc2s1; [None]; [None]; [0]
-COc1cnc(CO)cc1CC1CCOCC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1c(F)cccc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnc(NC(C)=O)[nH]1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc2ccsc12; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cn(C)n(C)c1=O; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-COc1cnc(CO)cc1O[C@@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-COc1cnc(CO)cc1OC(C)(C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1Cc1ccccc1NS(C)(=O)=O; [None]; [None]; [0]
-COc1cnc(CO)cc1Cc1cccnc1; [None]; [None]; [0]
-COc1cnc(CO)cc1NCC(C)(C)C; [None]; [None]; [0]
-COc1cnc(CO)cc1[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc(CO)ncc2OC)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-COc1cnc(CO)cc1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-OCc1cc(-c2ccccc2)ccn1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccnc(CO)c2)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1ccnc(CO)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccnc(CO)c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccnc(CO)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(C2CCOCC2)ccn1; [None]; [None]; [0]
-Cc1cccc(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(C2CCCCC2)ccn1; [None]; [None]; [0]
-OCc1cc([C@@H]2CC[C@@H](CO)OC2)ccn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccnc(CO)c2)cs1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccnc(CO)c1; [None]; [None]; [0]
-COc1cnc(-c2ccnc(CO)c2)nc1; [None]; [None]; [0]
-OCc1cc(CC2CCCCC2)ccn1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(-c2cccc(Cn3cncn3)c2)ccn1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccnc(CO)c2)s1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccnc(CO)c1; [None]; [None]; [0]
-CCC(C)(C)c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(NCCc2c[nH]cn2)ccn1; [None]; [None]; [0]
-OCc1cc(NCCc2ccccc2)ccn1; ['BrCCc1ccccc1']; ['Nc1ccnc(CO)c1']; [0.974573493]
-CCCCc1ccnc(CO)c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccnc(CO)c3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccnc(CO)c3)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccnc(CO)c3)ccc21; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccnc(CO)c1; [None]; [None]; [0]
-[NH3+]CCCc1ccnc(CO)c1; [None]; [None]; [0]
-CCCn1cnc(-c2ccnc(CO)c2)n1; [None]; [None]; [0]
-CSc1nc(-c2ccnc(CO)c2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccnc(CO)c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccnc(CO)c2)C1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccnc(CO)c3)cc2s1; [None]; [None]; [0]
-OCc1cc(OC(F)(F)F)ccn1; [None]; [None]; [0]
-OCc1cc(-c2csc3ncncc23)ccn1; [None]; [None]; [0]
-C[C@H](c1ccnc(CO)c1)C(F)(F)F; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccnc(CO)c2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['OCc1cc(Br)ccn1']; [0.991528392]
-Cn1cc(-c2ccnc(CO)c2)c2ccccc21; [None]; [None]; [0]
-O=c1cc(-c2ccnc(CO)c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(-c2ccnc(CO)c2)cc[nH]1; [None]; [None]; [0]
-COc1cc(CCc2ccnc(CO)c2)cc(OC)c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccnc(CO)c2)ccc1Cl; [None]; [None]; [0]
-OCc1cc(-c2cnn3ccccc23)ccn1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(-c2cnc3[nH]ccc3c2)ccn1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['OCc1cc(Br)ccn1']; [0.999999404]
-CC1(c2ccnc(CO)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccnc(CO)c1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccnc(CO)c2)CC1; [None]; [None]; [0]
-OCc1cc(-c2ccc(N3CCOCC3)cc2)ccn1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccnc(CO)c2)C1; [None]; [None]; [0]
-OCc1cc(-n2ccc(CO)n2)ccn1; [None]; [None]; [0]
-C[C@H](Nc1ccnc(CO)c1)C(C)(C)O; [None]; [None]; [0]
-OCCc1cn(-c2ccnc(CO)c2)cn1; [None]; [None]; [0]
-Cc1cc(-c2ccnc(CO)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@@H](Nc1ccnc(CO)c1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccnc(CO)c1)C(C)(C)C; [None]; [None]; [0]
-OCc1cc(-c2nc[nH]n2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2ccc(-n3cncn3)cc2)ccn1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccnc(CO)c2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccnc(CO)c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccnc(CO)c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccnc(CO)c1; [None]; [None]; [0]
-Cn1cnnc1-c1ccnc(CO)c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(-c2nncn2C2CC2)ccn1; [None]; [None]; [0]
-O=C(CCc1ccnc(CO)c1)NCc1ccccn1; [None]; [None]; [0]
-C[C@@H](Nc1ccnc(CO)c1)C(C)(C)C; [None]; [None]; [0]
-OCc1cc(-c2cn(Cc3ccccc3)nn2)ccn1; [None]; [None]; [0]
-CCc1cc(-c2ccnc(CO)c2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ccnc(CO)c2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc(CO)c2)s1; [None]; [None]; [0]
-OCc1cc(-c2csc(N3CCOCC3)n2)ccn1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccnc(CO)c1; [None]; [None]; [0]
-OCc1cc(CC2CCOCC2)ccn1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccnc(CO)c2)[nH]1; [None]; [None]; [0]
-OCc1cc(-c2ncc3ccccc3n2)ccn1; [None]; [None]; [0]
-Cn1cc(-c2ccnc(CO)c2)c(=O)n1C; [None]; [None]; [0]
-OCc1cc(-c2ncc3cc[nH]c3n2)ccn1; [None]; [None]; [0]
-OCc1cc(-c2cnccc2N2CCOCC2)ccn1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccnc(CO)c2)cnn1; [None]; [None]; [0]
-OCc1cc(O[C@@H]2CC[C@H](O)CC2)ccn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccnc(CO)c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ncc4ccccc4n3)sc2c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CC(=O)N(C)c1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999928117]
-COc1cccc(N2CCC(Nc3nc4ccc(C)cc4s3)CC2)c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(N4CCOCC4)cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1ccc(N2CCOCC2)cc1']; [0.999986649]
-Cc1ccc2nc(Nc3cccc(NC(=O)C4CC4)c3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccccc3)sc2c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Cl)sc2c1']; ['S=C=Nc1ccccc1', 'Nc1ccccc1']; [0.999704182, 0.999704182]
-Cc1ccc2nc(Nc3ccc(NS(C)(=O)=O)nc3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(C(=O)[O-])cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.916821241]
-Cc1ccc2nc(Nc3ccc(C(=O)N4CCOCC4)cc3)sc2c1; ['Cc1ccc2nc(N)sc2c1']; ['O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.999968052]
-Cc1ccc2nc(Nc3ccc(C(=O)N4CCOCC4)cn3)sc2c1; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2nc3ccc(C)cc3s2)cc1; [None]; [None]; [0]
-Cc1ccc2nc(NC3CCCCC3)sc2c1; ['Cc1ccc(N)c(I)c1']; ['S=C=NC1CCCCC1']; [0.998673677]
-Cc1ccc2nc(Nc3ccc(S(=O)(=O)N(C)C)cc3)sc2c1; ['CN(C)S(=O)(=O)c1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999959469]
-CCNS(=O)(=O)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999738395]
-Cc1ccc2nc(Nc3ccc(OC[C@@H](C)O)cc3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(N[C@H]3CCN(C(=O)c4ccccc4)C3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(N(C)C)c(Cl)c3)sc2c1; ['CN(C)c1ccc(N)cc1Cl']; ['Cc1ccc2nc(Cl)sc2c1']; [0.998950481]
-COc1cc(OC)c(Nc2nc3ccc(C)cc3s2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N']; ['Cc1ccc2nc(Cl)sc2c1']; [0.99967432]
-Cc1ccc2nc(NC3CCN(S(C)(=O)=O)CC3)sc2c1; ['CS(=O)(=O)N1CCC(N)CC1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999954343]
-Cc1ccc2nc(Nc3cc(-c4ccccc4)[nH]n3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cccc(C(=O)[O-])c3C)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cc(N4CCOCC4)ccn3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cc(C)ns3)sc2c1; ['Cc1cc(N)sn1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999779522]
-Cc1ccc2nc(N[C@@H]3CC[C@@H]([NH3+])CC3)sc2c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3nc4ccc(C)cc4s3)CC2)c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(C(=O)N(C)C)cc3)sc2c1; ['CN(C)C(=O)c1ccc(Br)cc1']; ['Cc1ccc2nc(N)sc2c1']; [0.99965632]
-Cc1ccc2nc(Nc3cccnc3Oc3ccccc3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(C(C)(C)C)nc3)sc2c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1nc2ccc(C)cc2s1; ['COc1cc(N2CCOCC2)ccc1N']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999990225]
-COc1cccc(C(=O)NNc2nc3ccc(C)cc3s2)c1; ['COc1cccc(C(=O)O)c1']; ['Cc1ccc2nc(NN)sc2c1']; [0.999832153]
-CC(=O)N[C@@H]1CC[C@@H](Nc2nc3ccc(C)cc3s2)CC1; [None]; [None]; [0]
-COCCNc1nc2ccc(C)cc2s1; ['COCCO']; ['Cc1ccc2nc(N)sc2c1']; [0.99088645]
-Cc1ccc2nc(NC3CCOCC3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['NC1CCOCC1']; [0.999705136]
-CCN1CCN(Cc2ccc(Nc3nc4ccc(C)cc4s3)cc2)CC1; [None]; [None]; [0]
-COc1cc(Nc2nc3ccc(C)cc3s2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cc4ccccn4n3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ncc4cccn4n3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(N4CCCCC4)cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1ccc(N2CCCCC2)cc1']; [0.99996078]
-Cc1ccc2nc(Nc3cccc(-n4nccn4)c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1cccc(-n2nccn2)c1']; [0.999998808]
-Cc1ccc2nc(Nc3ncc(Cl)cn3)sc2c1; ['Cc1ccc2nc(N)sc2c1']; ['Clc1cnc(Cl)nc1']; [0.99817872]
-Cc1ccc2nc(Nc3ccc4c(c3)CC(C)(C)O4)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ncnc4c(C)csc34)sc2c1; ['Cc1ccc2nc(N)sc2c1']; ['Cc1csc2c(Cl)ncnc12']; [0.99999547]
-CO[C@@H]1CC[C@@H](Nc2nc3ccc(C)cc3s2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2nc3ccc(C)cc3s2)CC1; ['CCNC(=O)N1CCC(N)CC1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999952197]
-Cc1ccc2nc(Nc3cc(F)cc4c3OCOC4)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(N[C@@H]3CC[C@@H](NC(=O)NC(C)C)CC3)sc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2nc3ccc(C)cc3s2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999999523]
-COc1ccc2oc(Nc3nc4ccc(C)cc4s3)cc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(C[NH+](C)C)cc3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ncc4sccc4n3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cc(-c4cccnc4)ccn3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3nc(C)nc4ccsc34)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ncc4cc(Cl)ccc4n3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cn(C)nc3C(C)C)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(C(=O)N4CCC[C@@H]4C)cc3)sc2c1; [None]; [None]; [0]
-COc1ccc2nc(Nc3nc4ccc(C)cc4s3)[nH]c2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cccc(NC(=O)N4CCCC4)c3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(C(=O)[O-])c(Cl)c3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cccc(N4CCC[C@@H]4C)n3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cn(C)c4ccccc34)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cc(C)c(OCCO)c(C)c3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(NC3CCC(F)(F)CC3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['NC1CCC(F)(F)CC1']; [0.999796927]
-Cc1ccc2nc(Nc3ccc4c(C)n[nH]c4c3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc(N(C)C)nc3)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(NC3CCS(=O)(=O)CC3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['NC1CCS(=O)(=O)CC1']; [0.999922037]
-Cc1ccc2nc(Nc3ccc(N4CCOCC4)cc3C)sc2c1; ['Cc1cc(N2CCOCC2)ccc1N']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999999642]
-Cc1ccc2nc(Nc3ccc(C(=O)N(C)C)cc3Cl)sc2c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1Nc1nc2ccc(C)cc2s1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.999890208]
-Cc1ccc2nc(N[C@H](C)CS(C)(=O)=O)sc2c1; [None]; [None]; [0]
-COc1cnc(-c2ccccc2)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccccc1']; [0.963927031]
-CNC(=O)c1ccc(Nc2nc3ccc(C)cc3s2)c(OC)c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cc(C(=O)NCCO)ccc3C)sc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2nc3ccc(C)cc3s2)c1; [None]; [None]; [0]
-COc1cnc(CCC(C)(C)OC)nc1; [None]; [None]; [0]
-CCOc1ccccc1-c1ncc(OC)cn1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(-c2ccccc2-c2nnc(C)[nH]2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccccc2S(=O)(=O)C(C)C)nc1; [None]; [None]; [0]
-COc1cnc([C@@H]2C[C@H](O)C2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccccc2P(C)(C)=O)nc1; [None]; [None]; [0]
-COc1cnc([C@H](C)c2cc(F)ccc2OC)nc1; [None]; [None]; [0]
-COc1cnc(Cc2cc(F)cc(F)c2)nc1; [None]; [None]; [0]
-COc1cnc(C2CCOCC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccnc3ccccc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc[nH]n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(C(F)(F)F)c2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.999723375, 0.999723375]
-COc1cnc(-c2cccc(C)c2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['Cc1cccc(B(O)O)c1', 'Cc1cccc(B(O)O)c1']; [0.997723877, 0.997723877]
-COc1cnc(-c2cccnc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccccc2F)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccccc2Cl)nc1; ['COc1cnc(Cl)nc1']; ['Clc1ccccc1Br']; [0.93164593]
-COc1cnc(-c2ccccc2Br)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccccc2OC(F)(F)F)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.998153031]
-COc1cnc(-c2ccccc2C#N)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccccc2C(=O)[O-])nc1; [None]; [None]; [0]
-COc1cnc(-c2cnn(Cc3ccccc3)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccccc2C(N)=O)nc1; [None]; [None]; [0]
-COc1cnc(-c2c(F)cccc2F)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnc(-c3ccccc3)[nH]2)nc1; [None]; [None]; [0]
-COc1cnc([C@@H](N)c2ccco2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnn(CCO)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2csc(C(C)(C)C)n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(NC(=O)c3ccccc3)c2)nc1; [None]; [None]; [0]
-COc1cnc(C2CCCCC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc3c(c2)CCC3)nc1; [None]; [None]; [0]
-COc1cnc([C@@H]2CC[C@@H](CO)OC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ncc(OC)cn2)nc1; [None]; [None]; [0]
-COc1cnc(OCC(=O)C(C)C)nc1; [None]; [None]; [0]
-COc1cnc(CC2CCCCC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2c(C)nc3ccccn23)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C)cc2Br)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnco2)nc1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ncc(OC)cn2)s1; [None]; [None]; [0]
-COc1cnc(-c2cnc3ccccn23)nc1; [None]; [None]; [0]
-COc1cnc(-c2sc(C)nc2C)nc1; [None]; [None]; [0]
-COc1cnc(-c2sc(N)nc2C)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnc3cccnn23)nc1; [None]; [None]; [0]
-COc1cnc(-c2c(Cl)cccc2Cl)nc1; [None]; [None]; [0]
-COc1cnc(NC(C)(C)C)nc1; ['CC(C)(C)N', 'CC(C)(C)N']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.997018814, 0.997018814]
-COc1cnc(OC2CCCCC2)nc1; ['COc1cnc(Cl)nc1']; ['OC1CCCCC1']; [0.982401073]
-COc1cnc(-c2cc(C)ccc2Cl)nc1; ['COc1cnc(Cl)nc1']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.94447279]
-COc1cnc(-c2cccc(Cn3cncn3)c2)nc1; [None]; [None]; [0]
-COc1cnc(NCc2cccnc2)nc1; ['COc1cnc(Cl)nc1']; ['NCc1cccnc1']; [0.997707]
-COc1cnc(-c2cnc(C)[nH]2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(OC)c2)nc1; ['COc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['COc1cnc(Br)nc1']; [0.999869704]
-COc1cnc(-c2cccc(Cl)c2Cl)nc1; [None]; [None]; [0]
-CCC(C)(C)c1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(Nc2cccnc2)nc1; ['COc1cnc(Cl)nc1']; ['Nc1cccnc1']; [0.995598257]
-COc1cnc(-c2ccnc(N)n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(Cl)s2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc3ccccc3c2)nc1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C']; ['COc1cnc(Cl)nc1']; [0.999928355]
-COc1cnc(NCCc2c[nH]cn2)nc1; ['COc1cnc(Cl)nc1']; ['NCCc1c[nH]cn1']; [0.998826325]
-COc1cnc(-n2cnc3ccccc32)nc1; ['COc1cnc(Cl)nc1']; ['c1ccc2[nH]cnc2c1']; [0.999862432]
-COc1cnc(NC(=O)c2cccs2)nc1; [None]; [None]; [0]
-COc1cnc(N[C@H](C)CO)nc1; ['COc1cnc(Cl)nc1']; ['C[C@@H](N)CO']; [0.989950955]
-COC(=O)[C@@H](N)Cc1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(OCC(C)C)nc1; ['CC(C)CO']; ['COc1cnc(Cl)nc1']; [0.99548173]
-COc1cnc(-c2cccc(CC(=O)[O-])c2)nc1; [None]; [None]; [0]
-COc1cnc(NCCc2ccccc2)nc1; [None]; [None]; [0]
-CCCCc1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(O[C@H](C)[C@@H](C)O)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc3c(cnn3C)c2)nc1; ['COc1cnc(Br)nc1']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999998093]
-COc1cnc(-c2ccc(-c3cnn(C)c3)cc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cncc3ccccc23)nc1; [None]; [None]; [0]
-CCCn1cnc(-c2ncc(OC)cn2)n1; [None]; [None]; [0]
-COc1cnc(-c2ccc3c(N)[nH]nc3c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(O)c2)nc1; [None]; [None]; [0]
-COc1cnc(CCC[NH3+])nc1; [None]; [None]; [0]
-COc1cnc(O[C@@H](C)C[NH+](C)C)nc1; [None]; [None]; [0]
-COc1cnc(-c2cncn2C)nc1; [None]; [None]; [0]
-COc1cnc([C@@H]2CCC[C@H]([NH3+])C2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(CO)c2)nc1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C']; ['COc1cnc(Cl)nc1']; [0.999887347]
-COc1cnc(-c2cccs2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccco2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnoc2C(C)C)nc1; [None]; [None]; [0]
-COc1cnc(Nc2ccncc2)nc1; ['COc1cnc(Cl)nc1']; ['Nc1ccncc1']; [0.999849081]
-COc1cnc(-c2c[nH]c(SC)n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnn(C)c2)nc1; ['COc1cnc(Cl)nc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999812424]
-COc1cnc(-c2cccc(CCC#N)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2csc3ncncc23)nc1; [None]; [None]; [0]
-COc1cnc(NC(C)C)nc1; ['CC(C)N']; ['COc1cnc(Cl)nc1']; [0.998537898]
-COc1cnc(-c2ccc(F)cc2C(F)(F)F)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999413133]
-CCNc1nc2ccc(-c3ncc(OC)cn3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncc(OC)cn2)cc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(NC(C)=O)c2)nc1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['COc1cnc(Br)nc1']; [0.997852206]
-COc1cnc(OC(F)(F)F)nc1; [None]; [None]; [0]
-COc1cnc(N2CCC(S(C)(=O)=O)CC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cn(C)c3ccccc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(OC)c(Cl)c2)nc1; ['COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.999974966, 0.999974966]
-COc1cnc([C@@H](C)C(F)(F)F)nc1; [None]; [None]; [0]
-CCC(=O)Nc1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(-c2cnoc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnn3ccccc23)nc1; [None]; [None]; [0]
-CCCn1cc(-c2ncc(OC)cn2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['COc1cnc(Br)nc1']; [0.999830961]
-COc1cnc(-c2cc(C)on2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccn([C@@H2]CO)c(=O)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc[nH]c(=O)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc3c2C(=O)CC3)nc1; [None]; [None]; [0]
-COc1cnc(CCc2cc(OC)cc(OC)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(C)(C)N)cc2)nc1; [None]; [None]; [0]
-COc1cnc(NC(=O)NC(C)(C)C)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc([S@](C)=O)cc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(Cl)c(C(=O)[O-])c2)nc1; [None]; [None]; [0]
-CCOC(=O)Cc1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(-c2cc3c(=O)[nH]ccc3o2)nc1; [None]; [None]; [0]
-COc1cnc(Nc2cnc3ccccc3c2)nc1; ['COc1cnc(Cl)nc1']; ['Nc1cnc2ccccc2c1']; [0.999771416]
-COc1cnc(-c2c[nH]c3ccccc23)nc1; [None]; [None]; [0]
-CCN(CC)c1ncc(OC)cn1; ['CCNCC']; ['COc1cnc(Cl)nc1']; [0.985554814]
-COc1cnc([C@H](CO)Cc2ccccc2)nc1; [None]; [None]; [0]
-COc1cnc(Nc2cnccc2OC)nc1; ['COc1ccncc1N']; ['COc1cnc(Cl)nc1']; [0.99986124]
-COc1cnc(-c2c[nH]c3cnccc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnc3[nH]ccc3c2)nc1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['COc1cnc(Cl)nc1']; [0.999912381]
-COc1cnc([C@@H]2CC[C@@H](NC(=O)O)C2)nc1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc([C@@H]2CCCN(C(=O)CC#N)C2)nc1; [None]; [None]; [0]
-COc1cnc([C@@H]2CC[C@@H](CC#N)CC2)nc1; [None]; [None]; [0]
-COc1cnc(C2(C)CCN(S(C)(=O)=O)CC2)nc1; [None]; [None]; [0]
-COc1cnc([C@@H]2CC[C@@H](CCC#N)CC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)nc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(Cl)nc1']; [0.998379111]
-COc1cnc([C@@H]2CC[C@@H](C#N)CC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(S(C)(=O)=O)cc2)nc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C']; ['COc1cnc(Br)nc1']; [0.999997616]
-CNS(=O)(=O)c1ccc(-c2ncc(OC)cn2)cc1; [None]; [None]; [0]
-COc1cnc([C@H]2COCC[C@@H]2C#N)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(C)nn2-c2cccc(Cl)c2)nc1; [None]; [None]; [0]
-COc1cnc(N[C@@H](C)C(C)(C)C)nc1; ['COc1cnc(Br)nc1']; ['C[C@H](N)C(C)(C)C']; [0.999085903]
-COc1cnc(-n2cnc(CCO)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(N3CCOCC3)cc2)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999718487]
-COc1cnc(-n2ccc(CO)n2)nc1; ['COc1cnc(Cl)nc1']; ['OCc1cc[nH]n1']; [0.987525582]
-COc1cnc(-c2cccc(F)c2C(N)=O)nc1; [None]; [None]; [0]
-COc1cnc(N[C@H](C)C(C)(C)O)nc1; [None]; [None]; [0]
-COc1cnc(N[C@@H](C)C(C)(C)O)nc1; [None]; [None]; [0]
-COc1cnc(-n2ncc3c(O)cccc32)nc1; [None]; [None]; [0]
-COc1cnc(-c2nc[nH]n2)nc1; [None]; [None]; [0]
-COc1cnc(-n2ncc3ccccc32)nc1; ['COc1cnc(Cl)nc1']; ['c1ccc2[nH]ncc2c1']; [0.995843709]
-COc1cnc(-c2ccc(-n3cncn3)cc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccnc2O)nc1; [None]; [None]; [0]
-COc1cnc(-c2nc3ccc(O)cc3[nH]2)nc1; [None]; [None]; [0]
-COc1cnc(-c2[nH]cnc2C)nc1; [None]; [None]; [0]
-COc1cnc(Cc2ccncc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(=O)c3ccccc3)cc2)nc1; ['COc1cnc(Cl)nc1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.990254104]
-COc1cnc(-c2[nH]c(SC)nc2C)nc1; [None]; [None]; [0]
-COc1cnc(NCC(C)(C)[NH3+])nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(OC)cc2OC)nc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['COc1cnc(Br)nc1']; [0.999713719]
-COc1cnc(-c2nncn2[C@H](C)CO)nc1; [None]; [None]; [0]
-COc1cnc(-c2nncn2C)nc1; [None]; [None]; [0]
-COc1cnc(-c2nncn2C(C)C)nc1; [None]; [None]; [0]
-COc1cnc(OC2CCOCC2)nc1; [None]; [None]; [0]
-COc1cnc(CCC(=O)NCc2ccccn2)nc1; [None]; [None]; [0]
-COc1cnc(-c2nncn2C2CC2)nc1; [None]; [None]; [0]
-COc1cnc(N[C@H](C)C(C)(C)C)nc1; ['COc1cnc(Br)nc1']; ['C[C@@H](N)C(C)(C)C']; [0.999085903]
-COc1cnc(-c2cn(Cc3ccccc3)nn2)nc1; [None]; [None]; [0]
-CCCCc1cc(-c2ncc(OC)cn2)nc(N)n1; [None]; [None]; [0]
-COc1cnc(-n2ccnc2)nc1; ['COc1cnc(Cl)nc1']; ['c1c[nH]cn1']; [0.949874878]
-COc1cnc(-c2cnc(N)s2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cncc(C)n2)nc1; [None]; [None]; [0]
-CCc1cc(-c2ncc(OC)cn2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncc(OC)cn2)s1; [None]; [None]; [0]
-COc1cnc(-c2nnc(N)s2)nc1; [None]; [None]; [0]
-COc1cnc([C@H]2CCCN2C(N)=O)nc1; [None]; [None]; [0]
-COc1cnc(-c2c(F)cccc2OC)nc1; [None]; [None]; [0]
-COc1cnc(CC2CCOCC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2csc(N3CCOCC3)n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc3ccsc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2nc(N)c3ccccc3n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ncc3ccccc3n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnccc2N2CCOCC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2c[nH]c3cccnc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(C#N)ccc2OC)nc1; ['COc1ccc(C#N)cc1Br']; ['COc1cnc(Cl)nc1']; [0.999805629]
-COc1cnc(-c2cnc(NC(C)=O)[nH]2)nc1; [None]; [None]; [0]
-COc1cnc(O[C@@H]2CC[C@H](O)CC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cn(C)n(C)c2=O)nc1; [None]; [None]; [0]
-COc1cnc(Cc2ccccc2NS(C)(=O)=O)nc1; [None]; [None]; [0]
-COc1cnc(-c2ncc3cc[nH]c3n2)nc1; [None]; [None]; [0]
-COc1cnc(OC(C)(C)C)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(OC)ccc2OC)nc1; ['COc1ccc(OC)c(B(O)O)c1']; ['COc1cnc(Cl)nc1']; [0.999729097]
-COc1cnc(Cc2cccnc2)nc1; [None]; [None]; [0]
-COc1cnc([C@H]2CC[C@@](C)(O)CC2)nc1; [None]; [None]; [0]
-COc1cnc(N2CCC(c3nc4ccccc4[nH]3)CC2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.99949193, 0.99949193]
-COc1cnc(NCC(C)(C)C)nc1; ['CC(C)(C)CN']; ['COc1cnc(Cl)nc1']; [0.999147773]
-COc1cnc(-c2cnnc(N(C)C)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C#N)cc2)nc1; ['COc1cnc(Cl)nc1']; ['N#Cc1ccc(B(O)O)cc1']; [0.999488831]
-COc1cnc(-c2cc(C)cc(C)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(N(C)C(C)=O)cc2)nc1; [None]; [None]; [0]
-COc1cnc(N2CC=C(c3c[nH]c4ccccc34)CC2)nc1; [None]; [None]; [0]
-COc1cnc(C2CCN(c3cccc(OC)c3)CC2)nc1; [None]; [None]; [0]
-CCOc1ccc(-c2ncc(OC)cn2)cc1; ['CCOc1ccc(B(O)O)cc1']; ['COc1cnc(Cl)nc1']; [0.998112679]
-COc1cnc(-c2c[nH]nc2C)nc1; ['COc1cncnc1']; ['Cc1n[nH]cc1Br']; [0.799929798]
-COc1cnc(-c2cccnc2OC)nc1; ['COc1cnc(Br)nc1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1']; [0.99972564]
-COc1cnc(-c2cccc(S(C)(=O)=O)c2)nc1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'COc1cnc(Cl)nc1']; ['COc1cnc(Cl)nc1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; [0.999977827, 0.999977827]
-COc1cnc(-n2cnc3ccc(C)cc32)nc1; ['COc1cnc(Cl)nc1']; ['Cc1ccc2nc[nH]c2c1']; [0.999468744]
-COc1cnc(-c2cnnn2C)nc1; [None]; [None]; [0]
-COc1cnc(-c2cn(C)nc2C)nc1; ['COc1cnc(Br)nc1']; ['Cc1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; [0.999756038]
-COc1cnc(-c2cc(OC)c(OC)c(OC)c2)nc1; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC']; ['COc1cnc(Br)nc1']; [0.999568522]
-COc1cnc(-c2cccc(NC(=O)C3CC3)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
-COc1ccc(-c2ncc(OC)cn2)cc1; ['COc1ccc(B(O)O)cc1']; ['COc1cnc(Cl)nc1']; [0.994406462]
-COc1cnc(-n2ncc3ccccc3c2=O)nc1; ['COc1cnc(Br)nc1']; ['O=c1[nH]ncc2ccccc12']; [0.997177482]
-COc1cnc(Nc2cc(C)ns2)nc1; ['COc1cnc(Cl)nc1']; ['Cc1cc(N)sn1']; [0.997077703]
-COc1cnc(-c2ccc(C(N)=O)cc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(NS(C)(=O)=O)nc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(=O)Nc3ccccc3)cc2)nc1; ['COc1cnc(Br)nc1']; ['O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.997618616]
-COc1cnc(-c2cccc(F)c2)nc1; ['CC1(C)OB(c2cccc(F)c2)OC1(C)C', 'COc1cnc(Cl)nc1']; ['COc1cnc(Br)nc1', 'Fc1cccc(Br)c1']; [0.999990225, 0.999990225]
-COc1cnc(NC(=O)C2CC2)nc1; ['COc1cnc(Cl)nc1']; ['NC(=O)C1CC1']; [0.958870232]
-COc1cnc(-c2ccc(C(=O)[O-])cc2)nc1; [None]; [None]; [0]
-COc1cnc(Cc2nccc3ccccc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(Cl)cc2)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccc(Cl)cc1']; [0.980726838]
-COc1cnc(-c2ccc(OCCO)cc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(=O)N3CCOCC3)cc2)nc1; ['COc1cnc(Cl)nc1']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.999566853]
-COc1cnc(-c2ccc(CNC(C)=O)cc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(=O)N3CCOCC3)cn2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(C3CCNCC3)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(OC[C@H](C)O)cc2)nc1; [None]; [None]; [0]
-COc1cnc(Cc2ccccc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(F)(F)F)cc2)nc1; ['COc1cnc(Cl)nc1']; ['FC(F)(F)c1ccc(Br)cc1']; [0.998524368]
-CNS(=O)(=O)Cc1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(-c2cc(C)n(C)n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(S(=O)(=O)N(C)C)cc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(OC[C@@H](C)O)cc2)nc1; [None]; [None]; [0]
-COc1cnc(Cc2ccccc2O)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(N(C)C)cc2)nc1; [None]; [None]; [0]
-COc1cnc(Cc2cncnc2)nc1; [None]; [None]; [0]
-COc1cnc(Cc2cnc(N)nc2)nc1; [None]; [None]; [0]
-COc1cnc(C[C@H](O)CO)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnc(Cl)nc2)nc1; ['CC1(C)OB(c2cnc(Cl)nc2)OC1(C)C', 'COc1cnc(Cl)nc1']; ['COc1cnc(Cl)nc1', 'OB(O)c1cnc(Cl)nc1']; [0.996638894, 0.996638894]
-COc1cnc(C2CCN(S(C)(=O)=O)CC2)nc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ncc(OC)cn2)cc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(C(=O)[O-])c2C)nc1; [None]; [None]; [0]
-COc1cnc([C@H]2CCN(C(=O)c3ccccc3)C2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cncnc2)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1cncnc1']; [0.983531594]
-COc1cnc(-c2ccc(N(C)C)c(Cl)c2)nc1; [None]; [None]; [0]
-COc1ccc(Cc2ncc(OC)cn2)cc1; [None]; [None]; [0]
-COc1cnc(-c2cc(Cl)c(OC)cc2OC)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(Br)cc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc[nH]2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc3c(c2)CCO3)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccc2c(c1)CCO2']; [0.999783]
-COc1cnc(-c2cc(N3CCOCC3)ccn2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(Cl)ccc2OC)nc1; ['COc1ccc(Cl)cc1B(O)O']; ['COc1cnc(Cl)nc1']; [0.995555222]
-COc1cnc(-c2cc3ccccc3cn2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(-c3ccccc3)[nH]n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(C)ns2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc3c2OCO3)nc1; [None]; [None]; [0]
-COc1cnc(Cn2ccnc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(O)c(OC)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(F)c(F)c2)nc1; [None]; [None]; [0]
-COc1cnc([C@@H]2CC[C@@H]([NH3+])CC2)nc1; [None]; [None]; [0]
-COc1cnc(C2CCN(C(=O)c3cccc(OC)c3)CC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(C)(C)C)cc2)nc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['COc1cnc(Cl)nc1']; [0.999952078]
-COc1cnc(-c2scc3c2OCCO3)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnc3ccccc3c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccnc2Oc2ccccc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(C)(C)C)nc2)nc1; [None]; [None]; [0]
-COc1cnc([C@@H]2CC[C@@H](NC(C)=O)CC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(=O)N(C)C)cc2)nc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(Cl)nc1']; [0.995626]
-COc1cnc(OCC2(C)COC2)nc1; [None]; [None]; [0]
-COCCOc1ncc(OC)cn1; ['COCC[O-]']; ['COc1cnc(Cl)nc1']; [0.960833073]
-COc1cnc(-c2ccc(N3CCOCC3)cc2OC)nc1; [None]; [None]; [0]
-COc1cnc(NC(=O)c2cccc(OC)c2)nc1; ['COc1cccc(C(N)=O)c1']; ['COc1cnc(Cl)nc1']; [0.989371181]
-COc1cnc(-c2cccc(SC)c2)nc1; ['COc1cnc(Cl)nc1']; ['CSc1cccc(B(O)O)c1']; [0.968271673]
-COc1cnc(-c2cc(C)nc(N)n2)nc1; [None]; [None]; [0]
-COc1cnc([C@H]2CC[C@@H](O)C2)nc1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ncc(OC)cn3)cc2)CC1; [None]; [None]; [0]
-COc1cnc(-c2ccc(F)cc2Cl)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccc(F)cc1Cl']; [0.997837722]
-COc1cnc(-c2ccc(OC)c(OC)c2)nc1; [None]; [None]; [0]
-COc1cnc([C@@H]2CC[C@@H](O)CC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ncc(Br)cn2)nc1; [None]; [None]; [0]
-COc1ccc(CNc2ncc(OC)cn2)cc1; ['COc1ccc(CN)cc1']; ['COc1cnc(Cl)nc1']; [0.99314332]
-CCc1ccc(-c2ncc(OC)cn2)cc1; ['CCc1ccc(Br)cc1']; ['COc1cnc(Cl)nc1']; [0.998357]
-CCCCCc1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(CCCn2cncn2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccsc2)nc1; ['COc1cnc(Br)nc1']; ['OB(O)c1ccsc1']; [0.999761522]
-CC[NH+](CC)c1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(-c2ccc(N3CCOCC3)c(OC)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(Cl)cc2Cl)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.99653095]
-COc1cnc(-c2cn(C)nc2C(F)(F)F)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc3c(c2)CC(C)(C)O3)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(N3CCCCC3)cc2)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.999814212]
-COc1cnc(-c2ncc3cccn3n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc3ccccn3n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(OC)c(OC)cc2F)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc3ccc(O)cc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2ncc(Cl)cn2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc3ccc(OC)cc23)nc1; [None]; [None]; [0]
-COc1cnc(Nc2cc(C)n(C)n2)nc1; ['COc1cnc(Cl)nc1']; ['Cc1cc(N)nn1C']; [0.999585092]
-COc1cnc(-c2ncnc3c(C)csc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(Cl)c(OC)c2)nc1; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['COc1cnc(Cl)nc1', 'COc1cncnc1']; [0.999980092, 0.999980092]
-COc1cnc(Nc2nc(C)c(C)s2)nc1; ['COc1cnc(Cl)nc1']; ['Cc1nc(N)sc1C']; [0.999924064]
-COc1cnc(-c2ccc(C)o2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(-n3nccn3)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(OC)c(Br)cc2OC)nc1; [None]; [None]; [0]
-COc1cnc(Cc2ccc(C(N)=O)cc2)nc1; [None]; [None]; [0]
-COc1cnc(Cc2ccc(S(=O)(=O)CCO)cc2)nc1; [None]; [None]; [0]
-COc1cnc([C@@H]2CC[C@@H](OC)CC2)nc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ncc(OC)cn2)CC1; [None]; [None]; [0]
-COc1cnc(Cc2cc(OC)ccc2OC)nc1; [None]; [None]; [0]
-COc1cnc(NC(=O)c2ccco2)nc1; ['COc1cnc(Cl)nc1']; ['NC(=O)c1ccco1']; [0.925560474]
-COc1cnc(-c2cc(OC)cc(OC)c2)nc1; ['COc1cc(OC)cc(B(O)O)c1']; ['COc1cnc(Cl)nc1']; [0.99838376]
-COc1cnc(-c2cc(F)cc3c2OCOC3)nc1; [None]; [None]; [0]
-COc1cnc([C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc3cn[nH]c3c2)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.998532414]
-COc1cnc(-c2ccc(C[NH+](C)C)cc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc3cc(OC)ccc3o2)nc1; [None]; [None]; [0]
-COc1cnc(OC(C)C)nc1; [None]; [None]; [0]
-COc1cnc(NC(=O)c2ccc(C(C)(C)C)cc2)nc1; ['CC(C)(C)c1ccc(C(N)=O)cc1']; ['COc1cnc(Cl)nc1']; [0.984781384]
-CNC(=O)c1ccc(OC)c(-c2ncc(OC)cn2)c1; [None]; [None]; [0]
-CCn1cc(-c2ncc(OC)cn2)cn1; [None]; [None]; [0]
-COc1cnc(-c2cc(-c3cccnc3)ccn2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(Br)cn2C)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc3ccccc3o2)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncc(OC)cn2)cc1; [None]; [None]; [0]
-COc1cnc(-c2nc(C)nc3ccsc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2cn(C)nc2C(C)C)nc1; [None]; [None]; [0]
-COC(=O)Nc1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(-c2ncc3cc(Cl)ccc3n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(NC(=O)N3CCCC3)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ncc3sccc3n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cscn2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(OC(F)(F)F)cc2)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999968052]
-COc1cnc(-c2nc3ccc(OC)cc3[nH]2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(N3CCC[C@@H]3C)n2)nc1; [None]; [None]; [0]
-CCc1cccc(-c2ncc(OC)cn2)n1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(=O)[O-])c(Cl)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(C)c(OCCO)c(C)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(N(C)C)nc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(N3CCCC3=O)c2)nc1; [None]; [None]; [0]
-COc1cnc(CCC[NH+](C)C)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C)c(C)n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc3c(C)n[nH]c3c2)nc1; [None]; [None]; [0]
-COc1cnc(C2CCS(=O)(=O)CC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(CCO)cc2)nc1; [None]; [None]; [0]
-COc1cnc(C2CCC(F)(F)CC2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(N3CCOCC3)cc2C)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(=O)N(C)C)cc2Cl)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(N3CCC(O)CC3)cc2OC)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncc(OC)cn2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ncc(OC)cn2)cc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(N3CCNCC3)cc2OC)nc1; [None]; [None]; [0]
-COc1cnc(Nc2ccccn2)nc1; ['COc1cnc(Cl)nc1']; ['Nc1ccccn1']; [0.997745812]
-COc1cnc(Nc2ccc(F)cn2)nc1; ['COc1cnc(Cl)nc1']; ['Nc1ccc(F)cn1']; [0.998519123]
-COc1cnc(OCCC[NH+](C)C)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ncc(OC)cn2)c1; [None]; [None]; [0]
-COc1cnc(-c2cc(C(=O)NCCO)ccc2C)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(S(C)(=O)=O)ccc2Cl)nc1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1nnc(N)s1; ['Cc1cc(F)ccc1C(=O)O']; ['NNC(N)=S']; [0.999966741]
-Nc1nnc(-c2ccccc2)s1; ['NNC(N)=S']; ['O=C(O)c1ccccc1']; [0.999747097]
-Cc1ccccc1-c1nnc(N)s1; ['Cc1ccccc1C#N', 'Cc1ccccc1C(=O)O']; ['NNC(N)=S', 'NNC(N)=S']; [0.9996984, 0.9996984]
-Cn1c(-c2nnc(N)s2)nc2ccccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nnc(N)s2)c(F)c1; [None]; [None]; [0]
-Nc1nnc(-c2ccc(C(=O)[O-])cc2)s1; [None]; [None]; [0]
-Nc1nnc(-c2cn[nH]c2Cl)s1; [None]; [None]; [0]
-Nc1nnc(CCc2ccc(Cl)cc2)s1; ['NNC(N)=S']; ['O=C(O)CCc1ccc(Cl)cc1']; [0.999970078]
-Nc1nnc(-n2ccc(CC(=O)[O-])c2)s1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1nnc(N)s1; [None]; [None]; [0]
-NC(=O)c1cc(-c2nnc(N)s2)c[nH]1; [None]; [None]; [0]
-Nc1nnc(-c2c(Cl)ccc3c2OCO3)s1; [None]; [None]; [0]
-COCCCc1nnc(N)s1; [None]; [None]; [0]
-Nc1nnc(-c2nnco2)s1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3nnc(N)s3)ccc12; [None]; [None]; [0]
-Nc1nnc(C2CCOCC2)s1; ['N#CC1CCOCC1']; ['NNC(N)=S']; [0.999624]
-Nc1nnc(-c2cnc3[nH]ccc3c2)s1; ['NNC(N)=S']; ['O=C(O)c1cnc2[nH]ccc2c1']; [0.998260677]
-Cc1nnc(-c2nnc(N)s2)o1; [None]; [None]; [0]
-Nc1nnc(-c2ccc(Br)o2)s1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1nnc(N)s1; [None]; [None]; [0]
-Nc1nnc(-c2ncc(F)cn2)s1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1nnc(N)s1; [None]; [None]; [0]
-Nc1nnc(-c2nncs2)s1; [None]; [None]; [0]
-Nc1nnc(-c2cccc([O-])c2)s1; [None]; [None]; [0]
-Nc1cc(-c2nnc(N)s2)n[nH]1; [None]; [None]; [0]
-Nc1nnc(-c2ccc(C(=O)NC3CC3)cc2)s1; ['N#Cc1ccc(C(=O)NC2CC2)cc1']; ['NNC(N)=S']; [0.999998569]
-Cc1n[nH]c(-c2nnc(N)s2)c1C; [None]; [None]; [0]
-Nc1nnc(-c2[nH]cnc2-c2ccc(F)cc2)s1; [None]; [None]; [0]
-Nc1nnc(CCc2c[nH]c3ccccc23)s1; ['NNC(N)=S']; ['O=C(O)CCc1c[nH]c2ccccc12']; [0.999898553]
-Nc1nnc(-c2[nH]nc3ccc(F)cc23)s1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1nnc(N)s1; [None]; [None]; [0]
-Nc1nnc(-c2cn[nH]c2-c2ccc(Cl)cc2)s1; [None]; [None]; [0]
-Cc1cc(-c2nnc(N)s2)ccc1C(N)=O; [None]; [None]; [0]
-Nc1nnc(CCc2ccc(F)cc2F)s1; ['NNC(N)=S']; ['O=C(O)CCc1ccc(F)cc1F']; [0.999970078]
-Cc1ccc(O)c(-c2ccccc2)c1; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1']; ['F[B-](F)(F)c1ccccc1', 'c1ccccc1']; [0.986222446, 0.986222446]
-Nc1nnc(OCc2cccc3ccccc23)s1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2nc3ccccc3n2C)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccccc2C)c1; ['Cc1ccc(O)cc1']; ['Cc1ccccc1Cl']; [0.887790322]
-Nc1nnc(OCc2ccc(F)cc2F)s1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(F)cc2C)c1; ['Cc1cc(F)ccc1B(O)O']; ['Cc1ccc(O)c(Br)c1']; [0.999517918]
-Cc1ccc(O)c(-c2ccc(C(N)=O)cc2F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; ['Cc1ccc(O)c(Br)c1']; [0.999348342]
-Cc1ccc(O)c(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2c(C)ccc3[nH]ncc23)c1; ['Cc1ccc(O)cc1']; ['Cc1ccc2[nH]ncc2c1Br']; [0.987038374]
-Cc1ccc(O)c(-n2ccc(CC(=O)[O-])c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(CCc2ccc(Cl)cc2)c1; ['Cc1ccc(O)cc1']; ['OCCc1ccc(Cl)cc1']; [0.929665327]
-Cc1ccc(O)c(-c2c(Cl)ccc3c2OCO3)c1; [None]; [None]; [0]
-COCCCc1cc(C)ccc1O; ['COCCCO']; ['Cc1ccc(O)cc1']; [0.998919964]
-Cc1ccc(O)c(-c2c[nH]c(C(N)=O)c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2nnc(C)o2)c1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cc(C)ccc3O)ccc12; [None]; [None]; [0]
-Cc1ccc(O)c(-c2nnco2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cnc3[nH]ccc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Cc1ccc(O)c(Br)c1']; [0.999967456]
-Cc1ccc(O)c(C2CCOCC2)c1; ['Cc1ccc(O)cc1']; ['OC1CCOCC1']; [0.950165331]
-Cc1ccc(O)c(-c2ncc(F)cn2)c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cc(C)ccc1O; [None]; [None]; [0]
-Cc1ccc(O)c(N(C)c2cccc(Cl)c2)c1; ['CNc1cccc(Cl)c1']; ['Cc1ccc(O)c(Br)c1']; [0.957191706]
-CNc1nccc(-c2cc(C)ccc2O)n1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cc(N)[nH]n2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cccc([O-])c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(Br)o2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ccc(C(=O)NC3CC3)cc2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2[nH]nc3ccc(F)cc23)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2nncs2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2[nH]nc(C)c2C)c1; [None]; [None]; [0]
-Cc1ccc(O)c(CCc2c[nH]c3ccccc23)c1; ['Cc1ccc(O)cc1']; ['OCCc1c[nH]c2ccccc12']; [0.841646075]
-Cc1ccc(O)c(-c2ccc(C(N)=O)c(C)c2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(OCc2cccc3ccccc23)c1; ['BrCc1cccc2ccccc12']; ['Cc1ccc(O)c(O)c1']; [0.844195783]
-Cc1ccc(O)c(-c2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(OCc2ccc(F)cc2F)c1; ['Cc1ccc(O)c(O)c1', 'Cc1ccc(O)c(O)c1']; ['Fc1ccc(CCl)c(F)c1', 'Fc1ccc(CBr)c(F)c1']; [0.990273416, 0.990273416]
-CNC(=O)c1ccccc1-c1ccccc1; []; []; []
-c1ccc(-c2ccccc2)cc1; ['Brc1ccccc1']; ['Brc1ccccc1']; [0.971579671]
-COC(C)(C)CCc1ccccc1; ['CC(C)(O)CCc1ccccc1']; ['CI']; [0.96790731]
-Cc1ccc(O)c(-c2c(-c3ccccc3)noc2C)c1; [None]; [None]; [0]
-Cc1ccc(O)c(CCc2ccc(F)cc2F)c1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2ccccc2)C1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccccc1; ['CCOS(=O)(=O)OCC']; ['Oc1ccccc1-c1ccccc1']; [0.931904137]
-CC(C)S(=O)(=O)c1ccccc1-c1ccccc1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccccc1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccccc2)[nH]1; [None]; [None]; [0]
-c1ccc(-c2ccnc3ccccc23)cc1; ['Nc1ccccc1']; ['O=C(CCCl)c1ccccc1']; [0.904877782]
-Fc1cc(F)cc(Cc2ccccc2)c1; []; []; []
-CP(C)(=O)c1ccccc1-c1ccccc1; [None]; [None]; [0]
-c1ccc(C2CCOCC2)cc1; ['BrC1CCOCC1', 'OC1CCOCC1']; ['Brc1ccccc1', 'c1ccccc1']; [0.980185509, 0.980185509]
-c1ccc(-c2cc[nH]n2)cc1; []; []; []
-FC(F)(F)c1cccc(-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(-c2cccnc2)cc1; ['Brc1cccnc1', 'Brc1ccccc1']; ['OB(O)c1ccccc1', 'O=C([O-])c1cccnc1']; [0.999610841, 0.999610841]
-Clc1ccccc1-c1ccccc1; ['Nc1ccccc1Cl']; ['c1ccccc1']; [0.829881072]
-Cc1cccc(-c2ccccc2)c1; ['Cc1cccc(B(O)O)c1', 'Cc1cccc(I)c1', 'Br[Mg]c1ccccc1', 'Brc1ccccc1']; ['Ic1ccccc1', 'OB(O)c1ccccc1', 'Cc1cccc(Cl)c1', 'Cc1cccc(Br)c1']; [0.999238, 0.999238, 0.999238, 0.999238]
-Fc1ccccc1-c1ccccc1; ['Brc1ccccc1']; ['Fc1ccccc1Br']; [0.935059309]
-Brc1ccccc1-c1ccccc1; ['Br[Mg]c1ccccc1', 'Brc1ccccc1I', 'Nc1ccccc1Br']; ['O=S(=O)(Oc1ccccc1Br)C(F)(F)F', 'c1ccccc1', 'c1ccccc1']; [0.996894836, 0.996894836, 0.996894836]
-N#Cc1ccccc1-c1ccccc1; []; []; []
-FC(F)(F)Oc1ccccc1-c1ccccc1; ['CC1(C)OB(c2ccccc2)OC1(C)C', 'Brc1ccccc1', 'O=S(=O)(Oc1ccccc1)C(F)(F)F', 'FC(F)(F)Oc1ccccc1Cl']; ['FC(F)(F)Oc1ccccc1Br', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1']; [0.999993324, 0.999993324, 0.999993324, 0.999993324]
-c1ccc(Cn2cc(-c3ccccc3)cn2)cc1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ccccc1; []; []; []
-O=C([O-])c1ccccc1-c1ccccc1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ccccc1; ['Brc1ccccc1', 'Fc1cccc(F)c1Br', 'Brc1ccccc1', 'Ic1ccccc1', 'Fc1cccc(F)c1Br', 'Fc1cccc(F)c1I']; ['OB(O)c1c(F)cccc1F', 'OB(O)c1ccccc1', 'O=C([O-])c1c(F)cccc1F', 'O=C([O-])c1c(F)cccc1F', 'O=C([O-])c1ccccc1', 'O=C([O-])c1ccccc1']; [0.999541759, 0.999541759, 0.999541759, 0.999541759, 0.999541759, 0.999541759]
-c1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1; ['Ic1ccccc1', 'Ic1ccccc1']; ['c1ccc(-c2cnc[nH]2)cc1', 'c1ccc(-c2ncc[nH]2)cc1']; [0.954978466, 0.954978466]
-OCCn1cc(-c2ccccc2)cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccccc2)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1ccccc1']; [0.999996781]
-c1ccc(C2CCCCC2)cc1; ['OC1CCCCC1']; ['c1ccccc1']; [0.884221733]
-N[C@H](c1ccccc1)c1ccco1; [None]; [None]; [0]
-c1ccc(CC2CCCCC2)cc1; []; []; []
-OC[C@@H]1CC[C@@H](c2ccccc2)CO1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccccc2)c1)c1ccccc1; ['Nc1cccc(-c2ccccc2)c1']; ['O=C(Cl)c1ccccc1']; [0.999963164]
-c1ccc(-c2ccc3c(c2)CCC3)cc1; ['Ic1ccc2c(c1)CCC2']; ['OB(O)c1ccccc1']; [0.999631524]
-CC(C)C(=O)COc1ccccc1; ['CC(C)[Mg]Cl']; ['CON(C)C(=O)COc1ccccc1']; [0.964169919]
-Cc1nc2ccccn2c1-c1ccccc1; ['Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1']; ['OB(O)c1ccccc1', 'c1ccccc1']; [0.999722064, 0.999722064]
-Cc1ccc(-c2ccccc2)c(Br)c1; ['Cc1ccc(I)c(Br)c1']; ['c1ccccc1']; [0.985385895]
-c1ccc(-c2cnco2)cc1; []; []; []
-c1ccc(-c2cnc3ccccn23)cc1; ['c1ccccc1', 'Brc1ccccc1']; ['c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999812424, 0.999812424]
-Cc1nc(C)c(-c2ccccc2)s1; ['Brc1ccccc1']; ['Cc1csc(C)n1']; [0.997162163]
-Cc1nc(N)sc1-c1ccccc1; ['CC(=O)Cc1ccccc1']; ['NC(N)=S']; [0.999977112]
-c1ccc(-c2cnc3cccnn23)cc1; ['Brc1ccccc1']; ['c1cnn2ccnc2c1']; [0.999968886]
-CNc1nc(C)c(-c2ccccc2)s1; [None]; [None]; [0]
-CC(C)(C)Nc1ccccc1; ['C=C(C)C', 'CC(C)(C)N']; ['Nc1ccccc1', 'Ic1ccccc1']; [0.817469, 0.817469]
-Cc1ccc(Cl)c(-c2ccccc2)c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ccccc1; ['Nc1c(Cl)cccc1Cl']; ['c1ccccc1']; [0.843223155]
-c1ccc(-c2cccc(Cn3cncn3)c2)cc1; [None]; [None]; [0]
-Clc1cccc(-c2ccccc2)c1Cl; ['Nc1cccc(Cl)c1Cl']; ['c1ccccc1']; [0.985975444]
-c1ccc(OC2CCCCC2)cc1; ['BrC1CCCCC1', 'IC1CCCCC1']; ['Oc1ccccc1', 'Oc1ccccc1']; [0.996735513, 0.996735513]
-c1ccc(NCc2cccnc2)cc1; ['Nc1ccccc1']; ['O=Cc1cccnc1']; [0.936604381]
-Cc1ncc(-c2ccccc2)[nH]1; ['Cc1ncc(Br)[nH]1']; ['OB(O)c1ccccc1']; [0.852266073]
-Nc1nccc(-c2ccccc2)n1; ['CN(C)C=CC(=O)c1ccccc1', 'Nc1ncccn1']; ['N=C(N)N', 'OB(O)c1ccccc1']; [0.999985337, 0.999985337]
-CCC(C)(C)c1ccccc1; ['CCC(C)(C)O']; ['c1ccccc1']; [0.992065847]
-c1ccc(-c2ccc3ccccc3c2)cc1; ['Ic1ccccc1', 'Ic1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccccc1']; [0.999983311, 0.999983311]
-Clc1ccc(-c2ccccc2)s1; ['Brc1ccccc1', 'Clc1ccc(Br)s1']; ['OB(O)c1ccc(Cl)s1', 'c1ccccc1']; [0.99858886, 0.99858886]
-COc1cccc(-c2ccccc2)c1; ['COc1cccc(Br)c1', 'Brc1ccccc1', 'Br[Mg]c1ccccc1', 'COc1cccc(N)c1', 'COc1cccc([Mg]Br)c1', 'COc1cccc(B(O)O)c1']; ['OB(O)c1ccccc1', 'COc1cccc(B(O)O)c1', 'COc1cccc(I)c1', 'OB(O)c1ccccc1', 'Ic1ccccc1', 'Nc1ccccc1']; [0.999338806, 0.999338806, 0.999338806, 0.999338806, 0.999338806, 0.999338806]
-C[C@H](CO)Nc1ccccc1; ['CC(=O)CO']; ['Nc1ccccc1']; [0.752743661]
-c1ccc(Nc2cccnc2)cc1; ['Clc1cccnc1']; ['Nc1ccccc1']; [0.968330145]
-c1ccc(-n2cnc3ccccc32)cc1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccccc1; ['CO']; ['N[C@@H](Cc1ccccc1)C(=O)O']; [0.993704855]
-CC(C)COc1ccccc1; ['CC(C)CO']; ['Oc1ccccc1']; [0.994812608]
-O=C([O-])Cc1cccc(-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(NCCc2c[nH]cn2)cc1; ['Fc1ccccc1', 'Nc1ccccc1', 'Brc1ccccc1']; ['NCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.991188288, 0.991188288, 0.991188288]
-O=C(Nc1ccccc1)c1cccs1; ['CCOC(=O)c1cccs1', 'COC(=O)c1cccs1']; ['Nc1ccccc1', 'Nc1ccccc1']; [0.975560546, 0.975560546]
-C[C@@H](O)[C@@H](C)Oc1ccccc1; [None]; [None]; [0]
-c1ccc(CCNc2ccccc2)cc1; []; []; []
-c1ccc(-c2cncc3ccccc23)cc1; ['Brc1ccccc1', 'Brc1cncc2ccccc12']; ['OB(O)c1cncc2ccccc12', 'CO[Si](OC)(OC)c1ccccc1']; [0.998979509, 0.998979509]
-Cn1ncc2cc(-c3ccccc3)ccc21; ['CC1(C)OB(c2ccccc2)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21', 'Brc1ccccc1']; ['Cn1ncc2cc(Br)ccc21', 'Ic1ccccc1', 'Cn1ncc2cc(Br)ccc21']; [0.999999285, 0.999999285, 0.999999285]
-CCCCc1ccccc1; ['CCCCI', 'Br[Mg]c1ccccc1']; ['[Li]c1ccccc1', 'CCCCBr']; [0.978497922, 0.978497922]
-Nc1[nH]nc2cc(-c3ccccc3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['OB(O)c1ccccc1']; [0.999776423]
-Cn1cc(-c2ccc(-c3ccccc3)cc2)cn1; ['CC1(C)OB(c2ccc(-c3ccccc3)cc2)OC1(C)C', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1ccc(-c2ccccc2)cc1', 'Cn1cc(I)cn1']; ['Cn1cc(I)cn1', 'Ic1ccc(-c2ccccc2)cc1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'OB(O)c1ccc(-c2ccccc2)cc1']; [0.999920845, 0.999920845, 0.999920845, 0.999920845]
-[NH3+]CCCc1ccccc1; [None]; [None]; [0]
-CCCn1cnc(-c2ccccc2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccccc1; [None]; [None]; [0]
-Oc1cccc(-c2ccccc2)c1; []; []; []
-OCc1cccc(-c2ccccc2)c1; []; []; []
-Cn1cncc1-c1ccccc1; ['CI', 'Brc1ccccc1', 'Cn1ccnc1']; ['c1ccc(-c2cnc[nH]2)cc1', 'Cn1ccnc1', 'Ic1ccccc1']; [0.986753762, 0.986753762, 0.986753762]
-[NH3+][C@H]1CCC[C@@H](c2ccccc2)C1; [None]; [None]; [0]
-c1ccc(Nc2ccncc2)cc1; ['Brc1ccncc1', 'Clc1ccncc1', 'Ic1ccncc1']; ['Nc1ccccc1', 'Nc1ccccc1', 'Nc1ccccc1']; [0.984668672, 0.984668672, 0.984668672]
-c1ccc(-c2ccco2)cc1; [None]; [None]; [0]
-c1ccc(-c2cccs2)cc1; []; []; []
-Cn1cc(-c2ccccc2)cn1; ['Cn1cc(I)cn1']; ['OB(O)c1ccccc1']; [0.999616265]
-CSc1nc(-c2ccccc2)c[nH]1; ['CI']; ['Sc1nc(-c2ccccc2)c[nH]1']; [0.941065371]
-CC(C)Nc1ccccc1; ['CC(C)Br', 'CC(C)NC(C)C']; ['Nc1ccccc1', 'Nc1ccccc1']; [0.971197844, 0.971197844]
-CC(C)c1oncc1-c1ccccc1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccccc3)cc2s1; [None]; [None]; [0]
-c1ccc(-c2csc3ncncc23)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1; []; []; []
-CCC(=O)Nc1ccc(-c2ccccc2)cc1; ['CCC(=O)Cl', 'CCC(=O)OC']; ['Nc1ccc(-c2ccccc2)cc1', 'Nc1ccc(-c2ccccc2)cc1']; [0.996204555, 0.996204555]
-N#CCCc1cccc(-c2ccccc2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccccc2)c1; ['CC(=O)Cl', 'Brc1cccc(-c2ccccc2)c1']; ['Nc1cccc(-c2ccccc2)c1', 'CC(N)=O']; [0.999735415, 0.999735415]
-CCC(=O)Nc1ccccc1; [None]; [None]; [0]
-Fc1ccc(-c2ccccc2)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1']; ['c1ccccc1']; [0.995295107]
-CS(=O)(=O)C1CCN(c2ccccc2)CC1; [None]; [None]; [0]
-Cn1cc(-c2ccccc2)c2ccccc21; ['Cn1ccc2ccccc21']; ['Ic1ccccc1']; [0.834034383]
-C[C@H](c1ccccc1)C(F)(F)F; [None]; [None]; [0]
-COc1ccc(-c2ccccc2)cc1Cl; []; []; []
-CCCn1cc(-c2ccccc2)cn1; ['CCCn1cc(Br)cn1']; ['OB(O)c1ccccc1']; [0.998211861]
-c1ccc(-c2cnn3ccccc23)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccccc2)no1; ['C#CC']; ['ON=C(Cl)c1ccccc1']; [0.998897314]
-O=c1cc(-c2ccccc2)cc[nH]1; []; []; []
-c1ccc(-c2cnoc2)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccccc1; ['CC(C)(C)N', 'CC(C)(C)NC=O']; ['O=C(NO)c1ccccc1', 'Nc1ccccc1']; [0.936758935, 0.936758935]
-O=c1cc(-c2ccccc2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ccccc3)c21; ['O=C1CCc2cccc(Br)c21']; ['OB(O)c1ccccc1']; [0.999674559]
-COc1cc(CCc2ccccc2)cc(OC)c1; ['COc1cc(CBr)cc(OC)c1']; ['Cc1ccccc1']; [0.97205317]
-CC(C)(N)c1ccc(-c2ccccc2)cc1; []; []; []
-CCOC(=O)Cc1ccccc1; ['CCO', 'CCOC(=O)CN']; ['O=C(O)Cc1ccccc1', 'OB(O)c1ccccc1']; [0.988892257, 0.988892257]
-O=C([O-])c1cc(-c2ccccc2)ccc1Cl; [None]; [None]; [0]
-CCN(CC)c1ccccc1; ['CCNCC', 'CCOS(=O)(=O)OCC']; ['Fc1ccccc1', 'Nc1ccccc1']; [0.922365189, 0.922365189]
-C[S@](=O)c1ccc(-c2ccccc2)cc1; ['Brc1ccccc1', 'CS(=O)c1ccc(Br)cc1']; ['CS(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccccc1']; [0.999460638, 0.999460638]
-COc1ccncc1Nc1ccccc1; ['COc1ccncc1Cl', 'Brc1ccccc1', 'COc1ccncc1I', 'COc1ccncc1N', 'COc1ccncc1N']; ['Nc1ccccc1', 'COc1ccncc1N', 'Nc1ccccc1', 'Ic1ccccc1', 'OB(O)c1ccccc1']; [0.999925733, 0.999925733, 0.999925733, 0.999925733, 0.999925733]
-c1ccc(-c2c[nH]c3ccccc23)cc1; ['NNc1ccccc1', 'C#Cc1ccccc1']; ['O=CCc1ccccc1', 'O=[N+]([O-])c1ccccc1']; [0.998708844, 0.998708844]
-O=c1[nH]ccc2oc(-c3ccccc3)cc12; [None]; [None]; [0]
-c1ccc(Nc2cnc3ccccc3c2)cc1; ['Ic1ccccc1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1ccccc1']; [0.984207571, 0.984207571]
-c1ccc(-c2c[nH]c3cnccc23)cc1; ['Brc1c[nH]c2cnccc12']; ['OB(O)c1ccccc1']; [0.978796721]
-CNC(=O)c1c(F)cccc1-c1ccccc1; [None]; [None]; [0]
-c1ccc(-c2cnc3[nH]ccc3c2)cc1; ['Brc1cnc2[nH]ccc2c1']; ['OB(O)c1ccccc1']; [0.99964571]
-CC1(c2ccccc2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ccccc1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ccccc2)C1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccccc2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ccccc2)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccccc2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccccc2)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ccccc1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ccccc2)CC1; [None]; [None]; [0]
-c1ccc(-c2ccc(N3CCOCC3)cc2)cc1; ['C1COCCN1', 'BrCCOCCBr', 'C1COCCN1']; ['Clc1ccc(-c2ccccc2)cc1', 'Nc1ccc(-c2ccccc2)cc1', 'Fc1ccc(-c2ccccc2)cc1']; [0.9987005, 0.9987005, 0.9987005]
-Cc1cc(-c2ccccc2)n(-c2cccc(Cl)c2)n1; ['CC(=O)CC(=O)c1ccccc1']; ['NNc1cccc(Cl)c1']; [0.999857068]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccccc2)cc1; ['CC(C)(C)N']; ['O=S(=O)(Cl)c1ccc(-c2ccccc2)cc1']; [0.999925733]
-OCc1ccn(-c2ccccc2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccccc2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(C)=O']; ['Ic1ccccc1', 'Ic1ccc(-c2ccccc2)cc1']; [0.999724686, 0.999724686]
-C[C@H](Nc1ccccc1)C(C)(C)C; ['CC(O)C(C)(C)C']; ['Nc1ccccc1']; [0.767138422]
-NC(=O)c1c(F)cccc1-c1ccccc1; [None]; [None]; [0]
-C[C@H](Nc1ccccc1)C(C)(C)O; [None]; [None]; [0]
-c1ccc(-n2ncc3ccccc32)cc1; ['NNc1ccccc1', 'Ic1ccccc1']; ['O=Cc1ccccc1Br', 'c1ccc2[nH]ncc2c1']; [0.999773204, 0.999773204]
-OCCc1cn(-c2ccccc2)cn1; [None]; [None]; [0]
-Oc1ncccc1-c1ccccc1; ['OB(O)c1ccccc1', 'OB(O)c1ccccc1']; ['Oc1ncccc1I', 'Oc1ncccc1Br']; [0.999306202, 0.999306202]
-c1ccc(-c2nc[nH]n2)cc1; ['COC(OC)N(C)C', 'NC(=S)c1ccccc1']; ['NC(=O)c1ccccc1', 'O=CO']; [0.984393418, 0.984393418]
-C[C@@H](Nc1ccccc1)C(C)(C)O; [None]; [None]; [0]
-Oc1ccc2nc(-c3ccccc3)[nH]c2c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccccc2)[nH]1; [None]; [None]; [0]
-c1ccc(Cc2ccncc2)cc1; ['ClCc1ccncc1', 'ClCc1ccccc1']; ['OB(O)c1ccccc1', 'OB(O)c1ccncc1']; [0.984429955, 0.984429955]
-COc1ccc(-c2ccccc2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Cl)c(OC)c1']; ['Ic1ccccc1', 'OB(O)c1ccccc1', 'OB(O)c1ccccc1']; [0.999422073, 0.999422073, 0.999422073]
-c1ccc(-c2ccc(-n3cncn3)cc2)cc1; ['Ic1ccc(-c2ccccc2)cc1']; ['c1nc[nH]n1']; [0.999645233]
-Cc1nc[nH]c1-c1ccccc1; ['Cc1nc[nH]c1Br']; ['OB(O)c1ccccc1']; [0.931280613]
-O=C(c1ccccc1)c1ccc(-c2ccccc2)cc1; [None]; [None]; [0]
-Cn1cnnc1-c1ccccc1; []; []; []
-CC(C)n1cnnc1-c1ccccc1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccccc1; [None]; [None]; [0]
-c1ccc(OC2CCOCC2)cc1; ['Cc1ccc(S(=O)(=O)OC2CCOCC2)cc1', 'Ic1ccccc1']; ['Oc1ccccc1', 'OC1CCOCC1']; [0.996248186, 0.996248186]
-C[C@H](CO)n1cnnc1-c1ccccc1; [None]; [None]; [0]
-c1ccc(-c2nncn2C2CC2)cc1; [None]; [None]; [0]
-c1ccc(-n2ccnc2)cc1; ['Fc1ccccc1', 'OB(O)c1ccccc1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.996626616, 0.996626616]
-O=C(CCc1ccccc1)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-c2ccccc2)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccccc3)nn2)cc1; ['C#Cc1ccccc1']; ['ClCc1ccccc1']; [0.999999523]
-C[C@@H](Nc1ccccc1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Ic1ccccc1']; [0.994896352]
-Cc1cncc(-c2ccccc2)n1; ['CC1(C)OB(c2ccccc2)OC1(C)C']; ['Cc1cncc(Cl)n1']; [0.999949574]
-Nc1ncc(-c2ccccc2)s1; ['CC(=O)c1ccccc1']; ['NC(N)=S']; [0.836896122]
-c1ccc(-c2csc(N3CCOCC3)n2)cc1; ['NC(=S)N1CCOCC1', 'CC(=O)c1ccccc1']; ['O=C(CCl)c1ccccc1', 'NC(=S)N1CCOCC1']; [0.999999881, 0.999999881]
-CCCCc1cc(-c2ccccc2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccccc2)s1; ['CNC(=O)c1ccc(Br)s1', 'CN']; ['OB(O)c1ccccc1', 'O=C(O)c1ccc(-c2ccccc2)s1']; [0.999912739, 0.999912739]
-COc1cccc(F)c1-c1ccccc1; ['COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Br', 'Brc1ccccc1']; ['Ic1ccccc1', 'OB(O)c1ccccc1', 'c1ccccc1', 'COc1cccc(F)c1']; [0.999899864, 0.999899864, 0.999899864, 0.999899864]
-NC(=O)N1CCC[C@@H]1c1ccccc1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccccc2)[nH]1; ['CC(=O)OC(C)=O']; ['Nc1ncc(-c2ccccc2)[nH]1']; [0.999257]
-c1ccc(-c2cccc3ccsc23)cc1; [None]; [None]; [0]
-c1ccc(CC2CCOCC2)cc1; ['BrCC1CCOCC1']; ['CO[Si](OC)(OC)c1ccccc1']; [0.805220604]
-c1ccc(-c2ncc3ccccc3n2)cc1; ['N=C(N)c1ccccc1', 'N=C(N)c1ccccc1', 'Nc1ccccc1CO', 'NCc1ccccc1N']; ['O=Cc1ccccc1I', 'NCc1ccccc1Br', 'O=Cc1ccccc1', 'O=Cc1ccccc1']; [0.999982715, 0.999982715, 0.999982715, 0.999982715]
-Nc1nc(-c2ccccc2)nc2ccccc12; ['N#Cc1ccccc1Br']; ['O=Cc1ccccc1']; [0.997912586]
-c1ccc(-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccccc2)c(=O)n1C; [None]; [None]; [0]
-c1ccc(-c2cnccc2N2CCOCC2)cc1; [None]; [None]; [0]
-c1ccc(-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
-c1ccc(Cc2cccnc2)cc1; []; []; []
-COc1ccc(C#N)cc1-c1ccccc1; ['COc1ccc(C#N)cc1Br']; ['OB(O)c1ccccc1']; [0.998857498]
-O[C@H]1CC[C@@H](Oc2ccccc2)CC1; [None]; [None]; [0]
-CC(C)(C)CNc1ccccc1; ['CC(C)(C)CN']; ['Ic1ccccc1']; [0.993330538]
-CS(=O)(=O)Nc1ccccc1Cc1ccccc1; ['CS(=O)(=O)Cl']; ['Nc1ccccc1Cc1ccccc1']; [0.999792635]
-CC(C)(C)Oc1ccccc1; ['CC(C)(C)Br']; ['Oc1ccccc1']; [0.926331]
-Cc1cc(C)cc(-c2ccccc2)c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccccc2)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ccccc2)CC1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ccccc2)C1; ['O=C1CCN(c2ccccc2)CC1']; ['c1ccc2[nH]ccc2c1']; [0.998159587]
-c1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1; [None]; [None]; [0]
-CCc1ccc(-c2ccccc2)cc1; []; []; []
-Oc1cc(-c2ccccc2)ccc1Cl; ['OB(O)c1ccccc1']; ['Oc1cc(Br)ccc1Cl']; [0.99884367]
-CN(C)c1cc(-c2ccccc2)cnn1; [None]; [None]; [0]
-c1ccc(-c2cccc3ncccc23)cc1; ['OB(O)c1ccccc1']; ['OCc1cccc2ncccc12']; [0.951465189]
-Cc1cc(F)ccc1-c1ccccc1; ['Cc1cc(F)ccc1Cl', 'C=CC[Si](CC=C)(CC=C)c1ccccc1']; ['OB(O)c1ccccc1', 'Cc1cc(F)ccc1Cl']; [0.986080766, 0.986080766]
-Cn1c(-c2ccccc2)nc2ccccc21; [None]; [None]; [0]
-c1ccc(-c2n[nH]c3ccccc23)cc1; ['Brc1n[nH]c2ccccc12']; ['OB(O)c1ccccc1']; [0.999262393]
-Fc1ccc(Oc2ccccc2)cc1; ['Fc1ccc(Cl)cc1', 'Cl[Sn](c1ccccc1)(c1ccccc1)c1ccccc1']; ['Oc1ccccc1', 'Oc1ccc(F)cc1']; [0.974741042, 0.974741042]
-NC(=O)c1ccc(-c2ccccc2)cc1; [None]; [None]; [0]
-Cc1ccccc1-c1ccccc1; [None]; [None]; [0]
-Oc1ccc(-c2ccccc2)c(Cl)c1; ['OB(O)c1ccccc1', 'Oc1ccc(Br)c(Cl)c1']; ['Oc1ccc(Br)c(Cl)c1', 'c1ccccc1']; [0.999005, 0.999005]
-NC(=O)c1ccc(-c2ccccc2)c(F)c1; []; []; []
-COc1cc(-c2ccccc2)ccc1O; ['COc1cc(Br)ccc1O']; ['OB(O)c1ccccc1']; [0.994225919]
-Clc1[nH]ncc1-c1ccccc1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccccc2)cc1; []; []; []
-c1ccc(-c2cc[nH]c2)cc1; [None]; [None]; [0]
-N#Cc1cnc(-c2ccccc2)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccccc2)cc1; [None]; [None]; [0]
-c1ccc(-c2ccoc2)cc1; ['Ic1ccccc1']; ['OB(O)c1ccoc1']; [0.999307156]
-Brc1cccc(-c2ccccc2)c1; ['Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1ccccc1', 'Brc1cccc(Br)c1']; ['CC1(C)OB(c2ccccc2)OC1(C)C', 'Ic1ccccc1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1ccccc1']; [0.999980092, 0.999980092, 0.999980092, 0.999980092]
-COC(=O)c1ccc(-c2ccccc2)o1; ['COC(=O)c1ccc(Br)o1', 'CO']; ['OB(O)c1ccccc1', 'O=C(O)c1ccc(-c2ccccc2)o1']; [0.996312439, 0.996312439]
-N#Cc1ccc(-c2ccccc2)cn1; [None]; [None]; [0]
-COc1cc(CCc2ccccc2)ccc1O; [None]; [None]; [0]
-OCCCc1ccccc1; []; []; []
-Oc1ccc(-c2ccccc2)c(O)c1; ['OB(O)c1ccccc1']; ['Oc1ccc(Br)c(O)c1']; [0.992599964]
-Clc1ccccc1OCc1ccccc1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2ccccc2)c1; [None]; [None]; [0]
-Fc1ccc(-c2ccccc2)cc1Cl; ['Brc1ccccc1', 'Fc1ccc(I)cc1Cl']; ['Fc1ccc(Br)cc1Cl', 'Ic1ccccc1']; [0.990122855, 0.990122855]
-Clc1ccc(CCc2ccccc2)cc1; ['Cc1ccccc1']; ['ClCc1ccc(Cl)cc1']; [0.945342779]
-COC(=O)c1ccc(Cl)c(-c2ccccc2)c1; ['COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1']; ['OB(O)c1ccccc1', 'OB(O)c1ccccc1', 'OB(O)c1ccccc1']; [0.997413695, 0.997413695, 0.997413695]
-Cc1ccc(O)cc1-c1ccccc1; ['Cc1ccc(O)cc1Br']; ['OB(O)c1ccccc1']; [0.994147897]
-Cc1ccc(-c2ccccc2)cc1C; ['Cc1ccc(Cl)cc1C', 'Cc1ccc(I)cc1C', 'Cc1ccccc1C']; ['OB(O)c1ccccc1', 'c1ccccc1', 'Ic1ccccc1']; [0.998253763, 0.998253763, 0.998253763]
-Oc1ccc(Cl)c(-c2ccccc2)c1; ['OB(O)c1ccccc1']; ['Oc1ccc(Cl)c(I)c1']; [0.993831396]
-OC[C@@H](c1ccccc1)c1ccccc1; []; []; []
-Oc1ncc(-c2ccccc2)cc1Cl; ['OB(O)c1ccccc1']; ['Oc1ncc(Br)cc1Cl']; [0.997352481]
-Cc1ccc(CO)cc1-c1ccccc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccccc1; [None]; [None]; [0]
-O=c1ccccn1Cc1ccccc1; ['ClCc1ccccc1', 'BrCc1ccccc1']; ['Oc1ccccn1', 'Oc1ccccn1']; [0.999983072, 0.999983072]
-COc1cc(OC)cc(-c2ccccc2)c1; ['COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['OB(O)c1ccccc1', 'Ic1ccccc1']; [0.997554362, 0.997554362]
-Clc1ccc2c(c1-c1ccccc1)OCO2; [None]; [None]; [0]
-COc1ccc(-c2ccccc2)cc1OC; ['COc1ccc(Br)cc1OC', 'Brc1ccccc1']; ['OB(O)c1ccccc1', 'COc1ccc(B(O)O)cc1OC']; [0.99970144, 0.99970144]
-NC(=O)c1cc(-c2ccccc2)c[nH]1; []; []; []
-COCCCc1ccccc1; ['COS(=O)(=O)OC', 'BrCCCc1ccccc1']; ['OCCCc1ccccc1', 'CO']; [0.993090093, 0.993090093]
-c1ccc(-c2nnco2)cc1; ['COC(OC)OC']; ['NNC(=O)c1ccccc1']; [0.999995708]
-CNC(=O)c1cccc2cc(-c3ccccc3)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccccc3)cc2[nH]1; ['Cc1nc2ccc(Br)cc2[nH]1']; ['OB(O)c1ccccc1']; [0.999597]
-NC(=O)Nc1ccc(-c2ccccc2)cc1; []; []; []
-Oc1cncc(-c2ccccc2)c1; ['OB(O)c1ccccc1']; ['Oc1cncc(Br)c1']; [0.997125804]
-Cc1nnc(-c2ccccc2)o1; ['CC(=O)Cl']; ['c1ccc(-c2nnn[nH]2)cc1']; [0.998372912]
-C[C@H](CC(N)=O)c1ccccc1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ccccc2)CC1; [None]; [None]; [0]
-O=C1Cc2cc(-c3ccccc3)ccc2N1; ['O=C1Cc2cc(Br)ccc2N1']; ['OB(O)c1ccccc1']; [0.996851265]
-Fc1cnc(-c2ccccc2)nc1; ['CCCC[Sn](CCCC)(CCCC)c1ccccc1']; ['Fc1cnc(Cl)nc1']; [0.997619927]
-CCc1cc(O)c(F)cc1-c1ccccc1; [None]; [None]; [0]
-Brc1ccc(-c2ccccc2)o1; ['Brc1ccco1']; ['c1ccccc1']; [0.969038725]
-Cc1cccc(C)c1-c1ccccc1; ['Cc1cccc(C)c1I']; ['c1ccccc1']; [0.926845908]
-CCc1cc(O)ccc1-c1ccccc1; [None]; [None]; [0]
-CN(c1ccccc1)c1cccc(Cl)c1; ['CN(C)c1ccccc1']; ['Clc1cccc(Br)c1']; [0.84049052]
-Oc1c(Cl)cc(-c2ccccc2)cc1Cl; ['OB(O)c1ccccc1']; ['Oc1c(Cl)cc(Br)cc1Cl']; [0.995786369]
-Cc1cc(O)ccc1-c1ccccc1; ['Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1Br']; ['OB(O)c1ccccc1', 'Ic1ccccc1', 'c1ccccc1', 'c1ccccc1']; [0.998402417, 0.998402417, 0.998402417, 0.998402417]
-c1ccc(-c2ccc3c(c2)CCN3)cc1; ['Brc1ccc2c(c1)CCN2']; ['OB(O)c1ccccc1']; [0.999360621]
-c1ccc(-c2nncs2)cc1; [None]; [None]; [0]
-CCc1sccc1-c1ccccc1; ['CCc1cccs1']; ['Ic1ccccc1']; [0.970150471]
-Cn1ncc(N)c1-c1ccccc1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3ccccc3)cc2[nH]1; ['O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1']; ['OB(O)c1ccccc1', 'OB(O)c1ccccc1']; [0.99984, 0.99984]
-Fc1cc(Br)ccc1-c1ccccc1; ['Ic1ccccc1', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br', 'Brc1ccccc1', 'Fc1cccc(Br)c1']; ['OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccccc1', 'c1ccccc1', 'OB(O)c1ccccc1', 'OB(O)c1ccc(Br)cc1F', 'Ic1ccccc1']; [0.998930752, 0.998930752, 0.998930752, 0.998930752, 0.998930752, 0.998930752]
-[O-]c1cccc(-c2ccccc2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccccc2)cc1; ['CN', 'Brc1ccc(-c2ccccc2)cc1', 'CCOC(=O)c1ccc(-c2ccccc2)cc1']; ['O=C(Cl)c1ccc(-c2ccccc2)cc1', 'CNC=O', 'CN']; [0.998618603, 0.998618603, 0.998618603]
-Fc1ccc2n[nH]c(-c3ccccc3)c2c1; [None]; [None]; [0]
-Cc1csc(-c2ccccc2)n1; ['Cc1csc(Br)n1', 'Cc1cscn1', 'Cc1cscn1']; ['OB(O)c1ccccc1', 'NNS(=O)(=O)c1ccccc1', 'O=S([O-])c1ccccc1']; [0.999917388, 0.999917388, 0.999917388]
-Cc1ccc(-c2ccccc2)c(C)n1; ['Cc1ccc(Br)c(C)n1']; ['OB(O)c1ccccc1']; [0.999593914]
-Cc1n[nH]c(-c2ccccc2)c1C; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2ccccc2)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccccc3)cc2o1; ['Cc1nc2ccc(Br)cc2o1']; ['OB(O)c1ccccc1']; [0.999970675]
-Cc1ccc(-c2ccccc2)nc1C; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ccccc2)cc1; ['NC1CC1']; ['O=C(Cl)c1ccc(-c2ccccc2)cc1']; [0.999964]
-Cc1cc(-c2ccccc2)ccc1C(N)=O; [None]; [None]; [0]
-Oc1c(F)cc(-c2ccccc2)cc1F; ['OB(O)c1ccccc1']; ['Oc1c(F)cc(Br)cc1F']; [0.998410106]
-O=c1[nH][nH]c2cc(-c3ccccc3)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2ccccc2)cc1; [None]; [None]; [0]
-CSc1cccc(-c2ccccc2)c1; ['CSc1cccc(Br)c1', 'Brc1ccccc1', 'Brc1ccccc1']; ['OB(O)c1ccccc1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Cl)c1']; [0.988201797, 0.988201797, 0.988201797]
-c1ccc(COc2ccccc2)cc1; ['BrCc1ccccc1', 'BrCc1ccccc1']; ['Oc1ccccc1', '[O-]c1ccccc1']; [0.996687591, 0.996687591]
-c1ccc(OCc2cccc3ccccc23)cc1; ['ClCc1cccc2ccccc12', 'BrCc1cccc2ccccc12']; ['Oc1ccccc1', 'Oc1ccccc1']; [0.999262273, 0.999262273]
-Fc1ccc(Oc2ccccc2)c(F)c1; ['Ic1ccccc1', 'Fc1ccc(I)c(F)c1', 'Fc1ccc(F)c(F)c1', 'Fc1ccccc1']; ['Oc1ccc(F)cc1F', 'Oc1ccccc1', 'Oc1ccccc1', 'Oc1ccc(F)cc1F']; [0.999204, 0.999204, 0.999204, 0.999204]
-Cc1onc(-c2ccccc2)c1-c1ccccc1; ['Cc1onc(-c2ccccc2)c1I']; ['OB(O)c1ccccc1']; [0.969861329]
-c1ccc(CCc2c[nH]c3ccccc23)cc1; ['OCCc1ccccc1']; ['c1ccc2[nH]ccc2c1']; [0.896437347]
-Fc1ccc(-c2ccccc2)c(Cl)c1; ['Ic1ccccc1', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1']; ['OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccccc1', 'Ic1ccccc1']; [0.998139143, 0.998139143, 0.998139143]
-Fc1ccc(COc2ccccc2)c(F)c1; ['Fc1ccc(CBr)c(F)c1']; ['Oc1ccccc1']; [0.999907851]
-Fc1ccc(CCc2ccccc2)c(F)c1; ['BrCCc1ccccc1', 'Fc1cccc(F)c1', 'O=C(O)Cc1ccc(F)cc1F']; ['Fc1ccc(Br)c(F)c1', 'O=C(O)Cc1ccccc1', 'c1ccccc1']; [0.998446405, 0.998446405, 0.998446405]
-Cc1ccc(-c2ccccc2)cc1; ['Brc1ccccc1', 'Cc1ccc(Br)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccccc1', 'C=CC[Si](CC=C)(CC=C)c1ccccc1']; ['Cc1ccc(B(O)O)cc1', 'OB(O)c1ccccc1', 'Cc1ccc(I)cc1', 'Cc1ccc(Br)cc1']; [0.999747694, 0.999747694, 0.999747694, 0.999747694]
-Fc1ccccc1Oc1ccccc1; ['Brc1ccccc1', 'Fc1ccccc1Cl', 'Fc1ccccc1Br']; ['Oc1ccccc1F', 'Oc1ccccc1', 'Oc1ccccc1']; [0.998185694, 0.998185694, 0.998185694]
-CNC(=O)c1ccccc1-c1ccc(C)cc1; ['CN']; ['Cc1ccc(-c2ccccc2C(=O)O)cc1']; [0.992594898]
-Clc1ccc(-c2[nH]ncc2-c2ccccc2)cc1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1ccccc1; ['O=Cc1c(F)cccc1Cl']; ['O=[N+]([O-])c1ccccc1']; [0.994799614]
-COC(C)(C)CCc1ccc(C)cc1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc(C)cc1; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Br']; ['Cc1ccc(I)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc([B-](F)(F)F)cc1']; [0.999785841, 0.999785841, 0.999785841, 0.999785841]
-Cc1ccc([C@@H]2C[C@H](O)C2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccccc2-c2nnc(C)[nH]2)cc1; [None]; [None]; [0]
-Cc1ccc(Cc2cc(F)cc(F)c2)cc1; ['Cc1ccc(C[N+](C)(C)C)cc1']; ['OB(O)c1cc(F)cc(F)c1']; [0.978437126]
-Cc1ccc(-c2ccccc2S(=O)(=O)C(C)C)cc1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc(C)cc1; [None]; [None]; [0]
-Cc1ccc(C2CCOCC2)cc1; ['BrC1CCOCC1', 'BrC1CCOCC1']; ['Cc1ccc(Br)cc1', 'Cc1ccc([Mg]Br)cc1']; [0.986418664, 0.986418664]
-Cc1ccc(-c2ccnc3ccccc23)cc1; ['Brc1ccnc2ccccc12', 'Cc1ccc(B(O)O)cc1']; ['Cc1ccc(B(O)O)cc1', 'Clc1ccnc2ccccc12']; [0.999875903, 0.999875903]
-Cc1ccc(-c2ccccc2P(C)(C)=O)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['Cc1ccc(Br)cc1']; ['FC(F)(F)c1cccc(Br)c1']; [0.998734415]
-Cc1ccc(-c2cc[nH]n2)cc1; []; []; []
-Cc1ccc(-c2cccnc2)cc1; ['CCCC[Sn](CCCC)(CCCC)c1cccnc1', 'Brc1cccnc1', 'Brc1cccnc1']; ['Cc1ccc(I)cc1', 'Cc1ccc(I)cc1', 'Cc1ccc([Mg]Br)cc1']; [0.999907374, 0.999907374, 0.999907374]
-Cc1ccc(-c2ccccc2F)cc1; ['Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(I)cc1', 'Cc1ccc(Cl)cc1', 'Cc1ccc(B(O)O)cc1']; ['Fc1ccccc1I', 'Fc1ccccc1Br', 'OB(O)c1ccccc1F', 'Fc1ccccc1Br', 'OB(O)c1ccccc1F', 'Fc1ccccc1Cl']; [0.999762833, 0.999762833, 0.999762833, 0.999762833, 0.999762833, 0.999762833]
-Cc1ccc(-c2cccc(C)c2)cc1; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(Cl)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(I)cc1', 'Cc1cccc(I)c1']; ['Cc1cccc(Br)c1', 'Cc1cccc(B(O)O)c1', 'Cc1cccc(B(O)O)c1', 'Cc1cccc(Cl)c1', 'Cc1cccc(I)c1', 'Cc1ccccc1']; [0.999834895, 0.999834895, 0.999834895, 0.999834895, 0.999834895, 0.999834895]
-Cc1ccc(-c2ccccc2Br)cc1; ['Cc1ccc(I)cc1', 'Brc1ccccc1I']; ['OB(O)c1ccccc1Br', 'Cc1ccc(B(O)O)cc1']; [0.999688148, 0.999688148]
-Cc1ccc(-c2ccccc2Cl)cc1; ['Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(Cl)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc([Mg]Br)cc1', 'Cc1ccc(Cl)cc1']; ['OB(O)c1ccccc1Cl', 'Clc1ccccc1Br', 'OB(O)c1ccccc1Cl', 'Clc1ccccc1Cl', 'Clc1ccccc1Cl', 'Clc1ccccc1[Mg]Br']; [0.999631524, 0.999631524, 0.999631524, 0.999631524, 0.999631524, 0.999631524]
-Cc1ccc(-c2ccccc2C#N)cc1; ['Cc1ccc(Br)cc1']; ['N#Cc1ccccc1Br']; [0.977745295]
-Cc1ccc(-c2ccccc2OC(F)(F)F)cc1; ['Cc1ccc(I)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(I)cc1', 'Cc1ccc(Cl)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(OS(=O)(=O)C(F)(F)F)cc1']; ['OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Cl', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999806, 0.999806, 0.999806, 0.999806, 0.999806, 0.999806, 0.999806]
-Cc1ccc(-c2ccccc2C(N)=O)cc1; ['Cc1ccccc1']; ['NC(=O)c1ccccc1Br']; [0.939345]
-Cc1ccc(-c2ccccc2C(=O)[O-])cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnn(Cc3ccccc3)c2)cc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Cc1ccc(Br)cc1']; [0.999983788]
-Cc1ccc(-c2ccncn2)cc1; ['Cc1ccc(B(O)O)cc1']; ['Clc1ccncn1']; [0.999984264]
-Cc1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2c(F)cccc2F)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnn(CCO)c2)cc1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Cc1ccc(Br)cc1']; [0.999727786]
-Cc1ccc(C2CCCCC2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2csc(C(C)(C)C)n2)cc1; ['CC(C)(C)C(N)=S']; ['Cc1ccc(C(=O)CBr)cc1']; [0.999998689]
-Cc1ccc([C@@H](N)c2ccco2)cc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C)cc2)nc1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(NC(=O)c3ccccc3)c2)cc1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CC[C@@H](CO)OC2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(c2)CCC3)cc1; ['Cc1ccc(B(O)O)cc1']; ['Ic1ccc2c(c1)CCC2']; [0.999669313]
-Cc1ccc(CC2CCCCC2)cc1; ['BrCC1CCCCC1']; ['Cc1ccc(Br)cc1']; [0.988157928]
-Cc1ccc(-c2ccc(C)cc2Br)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnco2)cc1; []; []; []
-Cc1ccc(OCC(=O)C(C)C)cc1; ['CC(C)C(=O)CBr']; ['Cc1ccc(O)cc1']; [0.976920247]
-Cc1ccc(-c2c(C)nc3ccccn23)cc1; ['Cc1ccc(I)cc1']; ['Cc1cn2ccccc2n1']; [0.999915242]
-Cc1ccc(-c2cnc3ccccn23)cc1; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(Cl)cc1']; ['Ic1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999995351, 0.999995351, 0.999995351]
-Cc1ccc(-c2sc(C)nc2C)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3cccnn23)cc1; ['Cc1ccc(Br)cc1']; ['c1cnn2ccnc2c1']; [0.99990046]
-Cc1ccc(-c2sc(N)nc2C)cc1; [None]; [None]; [0]
-Cc1ccc(NC(C)(C)C)cc1; ['CC(C)(C)OC(=N)C(Cl)(Cl)Cl']; ['Cc1ccc(N)cc1']; [0.766249299]
-CNc1nc(C)c(-c2ccc(C)cc2)s1; [None]; [None]; [0]
-Cc1ccc(-c2cc(C)ccc2Cl)cc1; ['Cc1ccc(Cl)c(Br)c1']; ['Cc1ccccc1']; [0.914576113]
-Cc1ccc(-c2cccc(Cn3cncn3)c2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(Cl)c2Cl)cc1; ['Cc1ccc(I)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(I)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccccc1']; ['OB(O)c1cccc(Cl)c1Cl', 'OB(O)c1cccc(Cl)c1Cl', 'Clc1cccc(Br)c1Cl', 'Clc1cccc(I)c1Cl', 'Clc1cccc(I)c1Cl', 'Clc1ccccc1Cl', 'Clc1cccc(Br)c1Cl']; [0.999918342, 0.999918342, 0.999918342, 0.999918342, 0.999918342, 0.999918342, 0.999918342]
-Cc1ccc(-c2c(Cl)cccc2Cl)cc1; ['Cc1ccc(Br)cc1', 'Cc1ccc(I)cc1']; ['Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br']; [0.999986172, 0.999986172]
-Cc1ccc(OC2CCCCC2)cc1; ['Cc1ccc(O)cc1', 'Cc1ccc(F)cc1', 'C1=CCCCC1']; ['OC1CCCCC1', 'OC1CCCCC1', 'Cc1ccc(O)cc1']; [0.936606586, 0.936606586, 0.936606586]
-Cc1ccc(-c2cnc(C)[nH]2)cc1; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(B(O)O)cc1']; ['Cc1ncc(I)[nH]1', 'Cc1ncc(Br)[nH]1']; [0.986908734, 0.986908734]
-Cc1ccc(-c2ccnc(N)n2)cc1; ['Cc1ccc(B(O)O)cc1']; ['Nc1ncccn1']; [0.985375047]
-COc1cccc(-c2ccc(C)cc2)c1; ['COc1cccc(B(O)O)c1', 'COc1cccc(Cl)c1', 'COc1cccc(Cl)c1', 'COc1cccc(Br)c1', 'COc1cccc([Mg]Br)c1', 'COc1cccc(I)c1', 'COc1cccc(Br)c1']; ['Cc1ccc(Cl)cc1', 'Cc1ccc([Mg]Br)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(I)cc1', 'Cc1ccc(Cl)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(Br)cc1']; [0.999936581, 0.999936581, 0.999936581, 0.999936581, 0.999936581, 0.999936581, 0.999936581]
-Cc1ccc(NCc2cccnc2)cc1; ['Cc1ccc(Br)cc1']; ['NCc1cccnc1']; [0.997722328]
-Cc1ccc(Nc2cccnc2)cc1; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(N)cc1']; ['Nc1cccnc1', 'Ic1cccnc1']; [0.998879, 0.998879]
-Cc1ccc(-c2ccc3ccccc3c2)cc1; ['Brc1ccc2ccccc2c1']; ['Cc1ccc(S(=O)[O-])cc1']; [0.968375623]
-CCC(C)(C)c1ccc(C)cc1; ['CCC(C)(C)Cl']; ['Cc1ccccc1']; [0.998022199]
-Cc1ccc(-c2ccc(Cl)s2)cc1; ['Cc1ccc(I)cc1', 'Cc1ccc(C(=O)O)cc1']; ['OB(O)c1ccc(Cl)s1', 'Clc1cccs1']; [0.999638677, 0.999638677]
-Cc1ccc(N[C@H](C)CO)cc1; ['C[C@@H](N)CO']; ['Cc1ccc(I)cc1']; [0.971769273]
-Cc1ccc(OCC(C)C)cc1; ['CC(C)CO', 'CC(C)CCl']; ['Cc1ccc(O)cc1', 'Cc1ccc(O)cc1']; [0.990715, 0.990715]
-Cc1ccc(NCCc2c[nH]cn2)cc1; ['Cc1ccc(F)cc1', 'Cc1ccc(Br)cc1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.987935543, 0.987935543]
-Cc1ccc(-n2cnc3ccccc32)cc1; ['Cc1ccc(F)cc1', 'Cc1ccc(Cl)cc1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.997837961, 0.997837961]
-Cc1ccc(NC(=O)c2cccs2)cc1; ['Cc1ccc(N)cc1']; ['O=C(Cl)c1cccs1']; [0.999662876]
-CCCCc1ccc(C)cc1; ['CCCC[Mg]Cl', 'CCCC[Mg]Cl', 'CCCCCl', 'CCCCBr', 'CCCC[Mg]Br']; ['Cc1ccc(Cl)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc([Mg]Br)cc1', 'Cc1ccc([Mg]Br)cc1', 'Cc1ccc(Br)cc1']; [0.99269706, 0.99269706, 0.99269706, 0.99269706, 0.99269706]
-COC(=O)[C@@H](N)Cc1ccc(C)cc1; [None]; [None]; [0]
-Cc1ccc(O[C@H](C)[C@@H](C)O)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(-c3cnn(C)c3)cc2)cc1; ['Cc1ccc(-c2ccc(I)cc2)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999882221]
-Cc1ccc(-c2cccc(CC(=O)[O-])c2)cc1; ['Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['O=C([O-])Cc1ccccc1']; [0.941693664]
-Cc1ccc(NCCc2ccccc2)cc1; ['Cc1ccc(N)cc1', 'Cc1ccc(N)cc1']; ['ClCCc1ccccc1', 'O=CCc1ccccc1']; [0.992927134, 0.992927134]
-Cc1ccc(-c2cncc3ccccc23)cc1; ['Brc1cncc2ccccc12', 'Cc1ccc([Mg]Br)cc1']; ['Cc1ccc(I)cc1', 'Clc1cncc2ccccc12']; [0.999967933, 0.999967933]
-Cc1ccc(-c2ccc3c(N)[nH]nc3c2)cc1; ['Cc1ccc(B(O)O)cc1']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.999722779]
-Cc1ccc(-c2ccc3c(cnn3C)c2)cc1; ['Cc1ccc(I)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.999997735, 0.999997735, 0.999997735]
-CCCn1cnc(-c2ccc(C)cc2)n1; [None]; [None]; [0]
-Cc1ccc(O[C@@H](C)C[NH+](C)C)cc1; [None]; [None]; [0]
-Cc1ccc(CCC[NH3+])cc1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(O)c2)cc1; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(Cl)cc1']; ['Oc1cccc(Cl)c1', 'OB(O)c1cccc(O)c1']; [0.998033226, 0.998033226]
-Cc1ccc(-c2cccc(CO)c2)cc1; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(Br)cc1']; ['OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1']; [0.999786675, 0.999786675]
-Cc1ccc(-c2cncn2C)cc1; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(I)cc1']; ['Cn1cncc1I', 'Cn1ccnc1', 'Cn1ccnc1']; [0.999982238, 0.999982238, 0.999982238]
-Cc1ccc(Nc2ccncc2)cc1; ['Brc1ccncc1']; ['Cc1ccc(N)cc1']; [0.974756718]
-Cc1ccc([C@@H]2CCC[C@H]([NH3+])C2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnn(C)c2)cc1; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(B(O)O)cc1']; ['Cn1cc(I)cn1', 'Cn1cc(Br)cn1']; [0.999845266, 0.999845266]
-Cc1ccc(-c2ccco2)cc1; ['Cc1ccc(Br)cc1', 'Cc1ccc(Cl)cc1']; ['c1ccoc1', 'c1ccoc1']; [0.996434689, 0.996434689]
-Cc1ccc(-c2cccs2)cc1; ['Cc1ccc(Cl)cc1']; ['OB(O)c1cccs1']; [0.983055]
-Cc1ccc(NC(C)C)cc1; []; []; []
-Cc1ccc(-c2cnoc2C(C)C)cc1; [None]; [None]; [0]
-CSc1nc(-c2ccc(C)cc2)c[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(CCC#N)c2)cc1; ['Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Cc1ccc(B(O)O)cc1']; ['N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(Br)c1']; [0.999992, 0.999992]
-CCNc1nc2ccc(-c3ccc(C)cc3)cc2s1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(F)cc2C(F)(F)F)cc1; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(I)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(Cl)cc1']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999988556, 0.999988556, 0.999988556, 0.999988556, 0.999988556, 0.999988556]
-Cc1ccc(-c2csc3ncncc23)cc1; [None]; [None]; [0]
-Cc1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccc(C)cc2)cc1; ['CCC(=O)Cl']; ['Cc1ccc(-c2ccc(N)cc2)cc1']; [0.996570349]
-Cc1ccc(N2CCC(S(C)(=O)=O)CC2)cc1; ['CS(=O)(=O)C1CCNCC1']; ['Cc1ccc(I)cc1']; [0.996291518]
-CC(=O)Nc1cccc(-c2ccc(C)cc2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(N)cc1', 'Cc1ccc(Br)cc1']; [0.999999523, 0.999999523, 0.999999523, 0.999999523, 0.999999523, 0.999999523]
-Cc1ccc(-c2cn(C)c3ccccc23)cc1; ['Cc1ccc(Br)cc1']; ['Cn1ccc2ccccc21']; [0.99519968]
-Cc1ccc([C@@H](C)C(F)(F)F)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(C)cc2)cc1Cl; [None]; [None]; [0]
-Cc1ccc(-c2cnoc2)cc1; ['Brc1cnoc1']; ['Cc1ccc(B(O)O)cc1']; [0.997195363]
-CCC(=O)Nc1ccc(C)cc1; ['CCC(=O)Cl']; ['Cc1ccc(N)cc1']; [0.98965174]
-Cc1ccc(-c2cnn3ccccc23)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cc(C)on2)cc1; [None]; [None]; [0]
-CCCn1cc(-c2ccc(C)cc2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cc1ccc(I)cc1']; [0.999995]
-Cc1ccc(-c2ccn([C@@H2]CO)c(=O)c2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3c2C(=O)CC3)cc1; ['Cc1ccc(B2OCC(C)(C)CO2)cc1']; ['O=C1CCc2ccccc21']; [0.988634467]
-Cc1ccc(-c2ccc(C(C)(C)N)cc2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['Cc1ccc(B(O)O)cc1']; [0.976564407]
-COc1cc(CCc2ccc(C)cc2)cc(OC)c1; [None]; [None]; [0]
-Cc1ccc(-c2cc[nH]c(=O)c2)cc1; ['Cc1ccc(B(O)O)cc1']; ['O=c1cc(Br)cc[nH]1']; [0.998401821]
-Cc1ccc(NC(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(Cl)c(C(=O)[O-])c2)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1ccc(C)cc1; [None]; [None]; [0]
-CCN(CC)c1ccc(C)cc1; ['CCNCC']; ['Cc1ccc(F)cc1']; [0.960903287]
-Cc1ccc(-c2ccc([S@](C)=O)cc2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c3ccccc23)cc1; ['Cc1ccc(CC=O)cc1']; ['NNc1ccccc1']; [0.999696732]
-COc1ccncc1Nc1ccc(C)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cc3c(=O)[nH]ccc3o2)cc1; [None]; [None]; [0]
-Cc1ccc(Nc2cnc3ccccc3c2)cc1; ['Cc1ccc(N)cc1']; ['Clc1cnc2ccccc2c1']; [0.995137751]
-Cc1ccc(-c2c[nH]c3cnccc23)cc1; ['Brc1c[nH]c2cnccc12']; ['Cc1ccc(B(O)O)cc1']; [0.994627774]
-Cc1ccc(-c2cnc3[nH]ccc3c2)cc1; ['Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(Br)cc1']; [0.999919176, 0.999919176]
-Cc1ccc([C@H](CO)Cc2ccccc2)cc1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc(C)cc1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CC[C@@H](NC(=O)O)C2)cc1; [None]; [None]; [0]
-Cc1ccc(C2(C)CCN(S(C)(=O)=O)CC2)cc1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CCCN(C(=O)CC#N)C2)cc1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CC[C@@H](CC#N)CC2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)cc1; ['CC(C)(C)N']; ['Cc1ccc(-c2ccc(S(=O)(=O)Cl)cc2)cc1']; [0.999944091]
-Cc1ccc([C@@H]2CC[C@@H](C#N)CC2)cc1; [None]; [None]; [0]
-Cc1ccc([C@@H]2CC[C@@H](CCC#N)CC2)cc1; [None]; [None]; [0]
-Cc1ccc([C@H]2COCC[C@@H]2C#N)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc(C)cc2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Cc1ccc(B(O)O)cc1']; [0.997011781]
-Cc1ccc(-c2ccc(S(C)(=O)=O)cc2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['Cc1ccc(Cl)cc1', 'Cc1ccc(B(O)O)cc1']; [0.999233842, 0.999233842]
-Cc1ccc(-c2ccc(N3CCOCC3)cc2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cc(C)nn2-c2cccc(Cl)c2)cc1; [None]; [None]; [0]
-Cc1ccc(-n2cnc(CCO)c2)cc1; [None]; [None]; [0]
-Cc1ccc(-n2ccc(CO)n2)cc1; ['Cc1ccc(Br)cc1']; ['OCc1cc[nH]n1']; [0.983907819]
-Cc1ccc(N[C@@H](C)C(C)(C)C)cc1; ['C[C@H](N)C(C)(C)C', 'C[C@H](N)C(C)(C)C']; ['Cc1ccc(I)cc1', 'Cc1ccc(N)cc1']; [0.989646733, 0.989646733]
-Cc1ccc(-c2cccc(F)c2C(N)=O)cc1; ['Cc1ccc(I)cc1']; ['NC(=O)c1ccccc1F']; [0.969948351]
-Cc1ccc(N[C@H](C)C(C)(C)O)cc1; [None]; [None]; [0]
-Cc1ccc(-c2nc[nH]n2)cc1; ['Cc1ccc(C(N)=S)cc1']; ['O=CO']; [0.965424716]
-Cc1ccc(N[C@@H](C)C(C)(C)O)cc1; [None]; [None]; [0]
-Cc1ccc(-n2ncc3ccccc32)cc1; ['Cc1ccc(NN)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(Cl)cc1']; ['O=Cc1ccccc1Br', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.999992967, 0.999992967, 0.999992967, 0.999992967]
-Cc1ccc(-n2ncc3c(O)cccc32)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cccnc2O)cc1; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(B(O)O)cc1']; ['Oc1ncccc1Br', 'Oc1ccccn1']; [0.999695659, 0.999695659]
-Cc1ccc(-c2nc3ccc(O)cc3[nH]2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(-n3cncn3)cc2)cc1; ['Cc1ccc(-c2ccc(Br)cc2)cc1']; ['c1nc[nH]n1']; [0.999856353]
-Cc1ccc(Cc2ccncc2)cc1; ['Br[Mg]c1ccncc1', 'Cc1ccc([Mg]Br)cc1', 'Cc1ccc(C[N+](C)(C)C)cc1']; ['Cc1ccc(CO)cc1', 'OCc1ccncc1', 'OB(O)c1ccncc1']; [0.994777203, 0.994777203, 0.994777203]
-Cc1ccc(-c2[nH]cnc2C)cc1; ['Cc1ccc(B(O)O)cc1']; ['Cc1nc[nH]c1Cl']; [0.955741584]
-CSc1nc(C)c(-c2ccc(C)cc2)[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(=O)c3ccccc3)cc2)cc1; ['Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc([Mg]Br)cc1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.999848247, 0.999848247, 0.999848247]
-COc1ccc(-c2ccc(C)cc2)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(Br)cc1']; [0.999859, 0.999859]
-Cc1ccc(-c2nncn2C)cc1; []; []; []
-Cc1ccc(NCC(C)(C)[NH3+])cc1; [None]; [None]; [0]
-Cc1ccc(-c2nncn2[C@H](C)CO)cc1; [None]; [None]; [0]
-Cc1ccc(CCC(=O)NCc2ccccn2)cc1; ['Cc1ccc(CCC(=O)O)cc1']; ['NCc1ccccn1']; [0.999932051]
-Cc1ccc(-c2nncn2C(C)C)cc1; [None]; [None]; [0]
-Cc1ccc(N[C@H](C)C(C)(C)C)cc1; ['C[C@@H](N)C(C)(C)C']; ['Cc1ccc(Br)cc1']; [0.993096054]
-Cc1ccc(OC2CCOCC2)cc1; ['Cc1ccc(F)cc1', 'Cc1ccc(O)cc1', 'Cc1ccc(Br)cc1']; ['OC1CCOCC1', 'OC1CCOCC1', 'OC1CCOCC1']; [0.975788057, 0.975788057, 0.975788057]
-Cc1ccc(-c2cn(Cc3ccccc3)nn2)cc1; ['BrCc1ccccc1', 'C#Cc1ccc(C)cc1']; ['C#Cc1ccc(C)cc1', '[N-]=[N+]=NCc1ccccc1']; [1.0, 1.0]
-Cc1ccc(-c2nncn2C2CC2)cc1; [None]; [None]; [0]
-Cc1ccc(-n2ccnc2)cc1; ['Cc1ccc(Br)cc1', 'Cc1ccc(I)cc1']; ['c1c[nH]cn1', 'c1c[nH]cn1']; [0.999886155, 0.999886155]
-CCCCc1cc(-c2ccc(C)cc2)nc(N)n1; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)s2)cc1; ['Cc1ccc(I)cc1', 'CC(=O)c1ccc(C)cc1', 'Cc1ccc(Br)cc1']; ['Nc1nccs1', 'NC(N)=S', 'Nc1nccs1']; [0.925656, 0.925656, 0.925656]
-Cc1ccc(-c2cncc(C)n2)cc1; ['Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Cc1ccc(B(O)O)cc1']; ['Cc1cncc(Br)n1', 'Cc1cncc(Cl)n1', 'Cc1cncc(Cl)n1']; [0.999997139, 0.999997139, 0.999997139]
-CNC(=O)c1ccc(-c2ccc(C)cc2)s1; ['CN']; ['Cc1ccc(-c2ccc(C(=O)O)s2)cc1']; [0.999239087]
-CCc1cc(-c2ccc(C)cc2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999999285]
-Cc1ccc(-c2nnc(N)s2)cc1; ['Cc1ccc(C(=O)O)cc1']; ['NNC(N)=S']; [0.999952078]
-Cc1ccc(-c2csc(N3CCOCC3)n2)cc1; ['Cc1ccc(C(=O)CBr)cc1']; ['NC(=S)N1CCOCC1']; [1.0]
-COc1cccc(F)c1-c1ccc(C)cc1; ['COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1', 'COc1cccc(F)c1Br']; ['Cc1ccc(I)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(Br)cc1', 'Cc1ccccc1']; [0.99998033, 0.99998033, 0.99998033, 0.99998033]
-Cc1ccc(-c2nc3ccccc3s2)cc1; ['Cc1ccc(CO)cc1', 'Cc1ccc(CN)cc1', 'Cc1ccc(C#N)cc1']; ['Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S']; [0.998965, 0.998965, 0.998965]
-Cc1ccc([C@H]2CCCN2C(N)=O)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3ccsc23)cc1; ['Brc1cccc2ccsc12']; ['Cc1ccc(B(O)O)cc1']; [0.999299049]
-Cc1ccc(-c2ncc3ccccc3n2)cc1; ['Cc1ccc(C=O)cc1']; ['Nc1ccccc1CO']; [0.99667114]
-CC(=O)Nc1ncc(-c2ccc(C)cc2)[nH]1; []; []; []
-Cc1ccc(CC2CCOCC2)cc1; ['Cc1ccc(I)cc1']; ['ICC1CCOCC1']; [0.956726551]
-Cc1ccc(-c2nc(N)c3ccccc3n2)cc1; ['Cc1ccc(C(=O)Cl)cc1']; ['N#Cc1ccccc1N']; [0.994792163]
-Cc1ccc(-c2cn(C)n(C)c2=O)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ncc3cc[nH]c3n2)cc1; ['Cc1ccc(B(O)O)cc1']; ['Clc1ncc2cc[nH]c2n1']; [0.999245048]
-Cc1ccc(-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnccc2N2CCOCC2)cc1; [None]; [None]; [0]
-Cc1ccc(Cc2cccnc2)cc1; ['Brc1cccnc1']; ['Cc1ccc(CBr)cc1']; [0.948041856]
-COc1ccc(C#N)cc1-c1ccc(C)cc1; [None]; [None]; [0]
-Cc1ccc(O[C@@H]2CC[C@H](O)CC2)cc1; [None]; [None]; [0]
-Cc1ccc(Cc2ccccc2NS(C)(=O)=O)cc1; ['CS(=O)(=O)Nc1ccccc1Br']; ['Cc1ccc(CCl)cc1']; [0.986363471]
-Cc1ccc(NCC(C)(C)C)cc1; [None]; [None]; [0]
-Cc1ccc(OC(C)(C)C)cc1; ['CC(C)(C)Br']; ['Cc1ccc(O)cc1']; [0.927370608]
-Cc1ccc(-c2cc(C)cc(C)c2)cc1; ['Cc1cc(C)cc(Br)c1', 'COc1cc(C)cc(C)c1', 'Cc1ccc(Br)cc1', 'COc1ccc(C)cc1']; ['Cc1ccccc1', 'Cc1ccc([Mg]Br)cc1', 'Cc1cccc(C)c1', 'Cc1cc(C)cc([Mg]Br)c1']; [0.960057497, 0.960057497, 0.960057497, 0.960057497]
-COc1ccc(OC)c(-c2ccc(C)cc2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)cc1']; ['Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1', 'Cc1ccc(I)cc1', 'Cc1ccc(I)cc1']; [0.999960065, 0.999960065, 0.999960065, 0.999960065]
-Cc1ccc(N2CC=C(c3c[nH]c4ccccc34)CC2)cc1; ['Cc1ccc(N2CCC(=O)CC2)cc1']; ['c1ccc2[nH]ccc2c1']; [0.999878287]
-Cc1ccc([C@H]2CC[C@@](C)(O)CC2)cc1; [None]; [None]; [0]
-Cc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1; [None]; [None]; [0]
-COc1cc(-c2ccccc2C)ccc1O; ['COc1cc(I)ccc1O']; ['Cc1ccccc1B(O)O']; [0.999902487]
-Cc1ccc(-c2cnnc(N(C)C)c2)cc1; [None]; [None]; [0]
-COc1cc(-c2nc3ccccc3n2C)ccc1O; ['COc1cc(Br)ccc1O']; ['Cn1cnc2ccccc21']; [0.997631073]
-COc1cc(-c2ccc(F)cc2C)ccc1O; ['COc1cc(Br)ccc1O']; ['Cc1cccc(F)c1']; [0.915207088]
-COc1cc(-c2cn[nH]c2Cl)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)cc2F)ccc1O; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; ['COc1cc(Br)ccc1O']; [0.999948859]
-COc1cc(-c2ccc(C(=O)[O-])cc2)ccc1O; [None]; [None]; [0]
-COc1cc(CCc2ccc(Cl)cc2)ccc1O; [None]; [None]; [0]
-COc1cc(-n2ccc(CC(=O)[O-])c2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2c(C)ccc3[nH]ncc23)ccc1O; ['COc1cc(Br)ccc1O']; ['Cc1ccc2[nH]ncc2c1B(O)O']; [0.998305559]
-COc1cc(-c2c(Cl)ccc3c2OCO3)ccc1O; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(C(N)=O)c2)ccc1O; [None]; [None]; [0]
-COCCCc1ccc(O)c(OC)c1; [None]; [None]; [0]
-COc1cc(-c2nnc(C)o2)ccc1O; ['COC(C)(OC)OC']; ['COc1cc(C(=O)NN)ccc1O']; [0.998338938]
-CNC(=O)c1cccc2cc(-c3ccc(O)c(OC)c3)ccc12; [None]; [None]; [0]
-COc1cc(-c2nnco2)ccc1O; ['COC(OC)OC']; ['COc1cc(C(=O)NN)ccc1O']; [0.999706924]
-COc1cc(-c2cnc3[nH]ccc3c2)ccc1O; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O']; [0.999999762, 0.999999762]
-CNc1nccc(-c2ccc(O)c(OC)c2)n1; [None]; [None]; [0]
-COc1cc(-c2ccc(Br)o2)ccc1O; ['Brc1ccco1']; ['COc1cc(N)ccc1O']; [0.948901176]
-COc1cc(C2CCOCC2)ccc1O; ['BrC1CCOCC1']; ['COc1cc(Br)ccc1O']; [0.983545363]
-COc1cc(-c2ncc(F)cn2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Fc1cnc(Cl)nc1']; [0.999978423]
-COc1cc(N(C)c2cccc(Cl)c2)ccc1O; ['CNc1cccc(Cl)c1']; ['COc1cc(Br)ccc1O']; [0.971964061]
-CCc1cc(O)c(F)cc1-c1ccc(O)c(OC)c1; [None]; [None]; [0]
-COc1cc(-c2[nH]nc3ccc(F)cc23)ccc1O; [None]; [None]; [0]
-COc1cc(-c2cccc([O-])c2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2nncs2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)NC3CC3)cc2)ccc1O; ['COc1cc(I)ccc1O']; ['O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999975204]
-COc1cc(-c2ccc(C(N)=O)c(C)c2)ccc1O; [None]; [None]; [0]
-COc1cc(CCc2c[nH]c3ccccc23)ccc1O; ['COc1cc(CCO)ccc1O']; ['c1ccc2[nH]ccc2c1']; [0.754955709]
-COc1cc(OCc2cccc3ccccc23)ccc1O; ['COc1cc(O)ccc1O']; ['ClCc1cccc2ccccc12']; [0.962914526]
-COc1cc(-c2[nH]nc(C)c2C)ccc1O; [None]; [None]; [0]
-COc1cc(OCc2ccc(F)cc2F)ccc1O; ['COc1cc(O)ccc1O', 'COc1cc(O)ccc1O']; ['Fc1ccc(CCl)c(F)c1', 'Fc1ccc(CBr)c(F)c1']; [0.997188866, 0.997188866]
-COc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)ccc1O; [None]; [None]; [0]
-c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1']; ['OB(O)c1ccccc1']; [0.996495068]
-COc1cc(-c2[nH]cnc2-c2ccc(F)cc2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2c(-c3ccccc3)noc2C)ccc1O; [None]; [None]; [0]
-COC(C)(C)CCc1ccc2ocnc2c1; [None]; [None]; [0]
-COc1cc(CCc2ccc(F)cc2F)ccc1O; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc2ocnc2c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc3ocnc3c2)[nH]1; [None]; [None]; [0]
-c1nc2cc(C3CCOCC3)ccc2o1; [None]; [None]; [0]
-Cc1cccc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1']; ['Cc1cccc(B(O)O)c1']; [0.999125898]
-CC(C)(C)c1nc(-c2ccc3ocnc3c2)cs1; [None]; [None]; [0]
-c1nc2cc(C3CCCCC3)ccc2o1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-COc1cnc(-c2ccc3ocnc3c2)nc1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['Cc1cn2ccccc2n1']; [0.999985933]
-c1nc2cc(CC3CCCCC3)ccc2o1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ccc3ocnc3c2)CO1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc3ocnc3c2)s1; [None]; [None]; [0]
-CCC(C)(C)c1ccc2ocnc2c1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc2ocnc2c1; [None]; [None]; [0]
-c1nc(CCNc2ccc3ocnc3c2)c[nH]1; ['Brc1ccc2ocnc2c1']; ['NCCc1c[nH]cn1']; [0.98007524]
-c1cc(Cn2cncn2)cc(-c2ccc3ocnc3c2)c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccc3ocnc3c2)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc4ocnc4c3)cc2)cn1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc2ocnc2c1; [None]; [None]; [0]
-c1ccc(CCNc2ccc3ocnc3c2)cc1; ['BrCCc1ccccc1']; ['Nc1ccc2ocnc2c1']; [0.902862668]
-CCCCc1ccc2ocnc2c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4ocnc4c3)ccc21; ['Brc1ccc2ocnc2c1']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999989033]
-CCCn1cnc(-c2ccc3ocnc3c2)n1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccc4ocnc4c3)ccc12; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc2ocnc2c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc3ocnc3c2)C1; [None]; [None]; [0]
-[NH3+]CCCc1ccc2ocnc2c1; [None]; [None]; [0]
-CSc1nc(-c2ccc3ocnc3c2)c[nH]1; [None]; [None]; [0]
-c1ncc2c(-c3ccc4ocnc4c3)csc2n1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4ocnc4c3)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc3ocnc3c2)CC1; ['Brc1ccc2ocnc2c1', 'CS(=O)(=O)C1CCNCC1']; ['CS(=O)(=O)C1CCNCC1', 'Fc1ccc2ocnc2c1']; [0.982344031, 0.982344031]
-Cn1cc(-c2ccc3ocnc3c2)c2ccccc21; [None]; [None]; [0]
-O=c1cc(-c2ccc3ocnc3c2)cc[nH]1; [None]; [None]; [0]
-c1ccn2ncc(-c3ccc4ocnc4c3)c2c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2ocnc2c1; ['CC(C)(C)N=C=O']; ['Nc1ccc2ocnc2c1']; [0.99998343]
-FC(F)(F)Oc1ccc2ocnc2c1; [None]; [None]; [0]
-C[C@H](c1ccc2ocnc2c1)C(F)(F)F; [None]; [None]; [0]
-COc1cc(CCc2ccc3ocnc3c2)cc(OC)c1; [None]; [None]; [0]
-c1cc2cc(-c3ccc4ocnc4c3)cnc2[nH]1; [None]; [None]; [0]
-O=c1cc(-c2ccc3ocnc3c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccc3ocnc3c2)ccc1Cl; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc3ocnc3c2)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc3ocnc3c2)C1; [None]; [None]; [0]
-CC1(c2ccc3ocnc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-c1nc2cc(-c3ccc(N4CCOCC4)cc3)ccc2o1; ['Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C']; [0.999999762]
-Cc1cc(-c2ccc3ocnc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2ccc3ocnc3c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ccc2ocnc2c1)C(C)(C)C; ['Brc1ccc2ocnc2c1', 'C[C@H](N)C(C)(C)C']; ['C[C@H](N)C(C)(C)C', 'Fc1ccc2ocnc2c1']; [0.922481537, 0.922481537]
-OCCc1cn(-c2ccc3ocnc3c2)cn1; [None]; [None]; [0]
-C[C@H](Nc1ccc2ocnc2c1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ccc2ocnc2c1)C(C)(C)O; [None]; [None]; [0]
-c1nc(-c2ccc3ocnc3c2)n[nH]1; [None]; [None]; [0]
-c1ncn(-c2ccc(-c3ccc4ocnc4c3)cc2)n1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['Cc1c[nH]cn1']; [0.815447092]
-CSc1nc(C)c(-c2ccc3ocnc3c2)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc2ocnc2c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc2ocnc2c1; [None]; [None]; [0]
-O=C(CCc1ccc2ocnc2c1)NCc1ccccn1; [None]; [None]; [0]
-c1nc2cc(-c3nncn3C3CC3)ccc2o1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2ocnc2c1)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2ccc3ocnc3c2)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4ocnc4c3)nn2)cc1; [None]; [None]; [0]
-CCCCc1cc(-c2ccc3ocnc3c2)nc(N)n1; [None]; [None]; [0]
-c1nc2cc(-c3csc(N4CCOCC4)n3)ccc2o1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3ocnc3c2)s1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccc2ocnc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc3ocnc3c2)[nH]1; [None]; [None]; [0]
-c1nc2cc(CC3CCOCC3)ccc2o1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2ccc3ocnc3c2)cn1; [None]; [None]; [0]
-c1ccc2nc(-c3ccc4ocnc4c3)ncc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ocnc3c2)c(=O)n1C; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc2ocnc2c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ccc3ocnc3c2)CC1; [None]; [None]; [0]
-c1cc2cnc(-c3ccc4ocnc4c3)nc2[nH]1; [None]; [None]; [0]
-c1cnc2c(-c3ccncc3)coc2c1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc3ocnc3c2)cnn1; [None]; [None]; [0]
-Oc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1cc(-c2coc3cccnc23)c2cccnc2c1; [None]; [None]; [0]
-Cn1cc(-c2coc3cccnc23)cn1; [None]; [None]; [0]
-c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Oc1cc(-c2coc3cccnc23)ccc1Cl; [None]; [None]; [0]
-CCc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(-c3cn[nH]c3)coc2c1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1coc2cccnc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1ccc2c(-c3coc4cccnc34)n[nH]c2c1; [None]; [None]; [0]
-Cn1c(-c2coc3cccnc23)nc2ccccc21; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1coc2cccnc12; [None]; [None]; [0]
-Cc1ccccc1-c1coc2cccnc12; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1coc2cccnc12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2coc3cccnc23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2coc3cccnc23)c(F)c1; [None]; [None]; [0]
-Cc1ncc(-c2coc3cccnc23)[nH]1; [None]; [None]; [0]
-Oc1ccc(-c2coc3cccnc23)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2coc3cccnc23)n1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2coc3cccnc23)C1; [None]; [None]; [0]
-c1cnc2c(-c3cc[nH]c3)coc2c1; [None]; [None]; [0]
-Clc1ccccc1-c1coc2cccnc12; [None]; [None]; [0]
-COc1cc(-c2coc3cccnc23)ccc1O; [None]; [None]; [0]
-Clc1[nH]ncc1-c1coc2cccnc12; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-N#Cc1cnc(-c2coc3cccnc23)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(-c3cnccn3)coc2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccoc3)coc2c1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2coc3cccnc23)o1; [None]; [None]; [0]
-Clc1cccc(OCc2coc3cccnc23)c1; [None]; [None]; [0]
-COc1cc(CCc2coc3cccnc23)ccc1O; [None]; [None]; [0]
-N#Cc1ccc(-c2coc3cccnc23)cn1; [None]; [None]; [0]
-OCCCc1coc2cccnc12; [None]; [None]; [0]
-Brc1cccc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2coc3cccnc23)c1; [None]; [None]; [0]
-Oc1ccc(-c2coc3cccnc23)c(O)c1; [None]; [None]; [0]
-c1csc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2coc3cccnc23)c1; [None]; [None]; [0]
-Clc1ccccc1OCc1coc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3ccncn3)coc2c1; [None]; [None]; [0]
-Fc1ccc(-c2coc3cccnc23)cc1Cl; [None]; [None]; [0]
-Clc1ccc(CCc2coc3cccnc23)cc1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1coc2cccnc12; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1coc2cccnc12; [None]; [None]; [0]
-Cc1ccc(-c2coc3cccnc23)cc1C; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1coc2cccnc12; [None]; [None]; [0]
-Clc1ccc2c(c1-c1coc3cccnc13)OCO2; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1coc2cccnc12; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2coc3cccnc23)c1; [None]; [None]; [0]
-NC(=O)c1cc(-c2coc3cccnc23)c[nH]1; [None]; [None]; [0]
-Oc1ncc(-c2coc3cccnc23)cc1Cl; [None]; [None]; [0]
-O=c1ccccn1Cc1coc2cccnc12; [None]; [None]; [0]
-COCCCc1coc2cccnc12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-COc1ccc(-c2coc3cccnc23)cc1OC; [None]; [None]; [0]
-c1cnc2c(-c3nnco3)coc2c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3coc4cccnc34)cc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3coc4cccnc34)ccc12; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(-c3cnc4[nH]ccc4c3)coc2c1; [None]; [None]; [0]
-Cc1nnc(-c2coc3cccnc23)o1; [None]; [None]; [0]
-c1ccc2sc(-c3coc4cccnc34)nc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(C3CCOCC3)coc2c1; [None]; [None]; [0]
-O=C1Cc2cc(-c3coc4cccnc34)ccc2N1; [None]; [None]; [0]
-Oc1cncc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2coc3cccnc23)CC1; [None]; [None]; [0]
-CNc1nccc(-c2coc3cccnc23)n1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1coc2cccnc12; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1coc2cccnc12; [None]; [None]; [0]
-Fc1cnc(-c2coc3cccnc23)nc1; [None]; [None]; [0]
-Brc1ccc(-c2coc3cccnc23)o1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1coc2cccnc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1coc2cccnc12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1coc2cccnc12; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1coc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-n3ccnc3)coc2c1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2coc3cccnc23)cc1Cl; [None]; [None]; [0]
-CCc1sccc1-c1coc2cccnc12; [None]; [None]; [0]
-Nc1cc(-c2coc3cccnc23)[nH]n1; [None]; [None]; [0]
-c1cnc2c(-c3nccs3)coc2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc4c(c3)CCN4)coc2c1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1coc2cccnc12; [None]; [None]; [0]
-Nc1cc(-c2coc3cccnc23)n[nH]1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3coc4cccnc34)cc2[nH]1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1coc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3nncs3)coc2c1; [None]; [None]; [0]
-c1cnc2c(Nc3ccncc3)coc2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2coc3cccnc23)c1C; [None]; [None]; [0]
-[O-]c1cccc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3coc4cccnc34)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Cc1ccc(-c2coc3cccnc23)nc1C; [None]; [None]; [0]
-Cc1csc(-c2coc3cccnc23)n1; [None]; [None]; [0]
-Cc1ccc(-c2coc3cccnc23)c(C)n1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3coc4cccnc34)cc2o1; [None]; [None]; [0]
-Cc1cc(-c2coc3cccnc23)ccc1C(N)=O; [None]; [None]; [0]
-c1cnc2c(-c3cnco3)coc2c1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3coc4cccnc34)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Oc1c(F)cc(-c2coc3cccnc23)cc1F; [None]; [None]; [0]
-c1ccc2c(CCc3coc4cccnc34)c[nH]c2c1; [None]; [None]; [0]
-CSc1cccc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-c1ccc(COc2coc3cccnc23)cc1; [None]; [None]; [0]
-c1ccc2c(COc3coc4cccnc34)cccc2c1; [None]; [None]; [0]
-Fc1ccccc1Oc1coc2cccnc12; [None]; [None]; [0]
-Fc1ccc(Oc2coc3cccnc23)c(F)c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1coc2cccnc12; [None]; [None]; [0]
-Fc1ccc(-c2coc3cccnc23)c(Cl)c1; [None]; [None]; [0]
-Fc1ccc(CCc2coc3cccnc23)c(F)c1; [None]; [None]; [0]
-Fc1ccc(Cc2coc3cccnc23)cc1; [None]; [None]; [0]
-Fc1ccc(COc2coc3cccnc23)c(F)c1; [None]; [None]; [0]
-CCOc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1coc2cccnc12; [None]; [None]; [0]
-Cc1n[nH]cc1-c1coc2cccnc12; [None]; [None]; [0]
-COc1cccc(N2CCC(c3coc4cccnc34)CC2)c1; [None]; [None]; [0]
-c1ccc2nc(-c3coc4cccnc34)ncc2c1; [None]; [None]; [0]
-Cn1nncc1-c1coc2cccnc12; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-COc1ncccc1-c1coc2cccnc12; [None]; [None]; [0]
-Cc1ccc2ncn(-c3coc4cccnc34)c2c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1coc2cccnc12; [None]; [None]; [0]
-COc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Oc1cccc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-COc1cc(-c2coc3cccnc23)cc(OC)c1OC; [None]; [None]; [0]
-c1ccc2[nH]c(-c3coc4cccnc34)nc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2coc3cccnc23)c1)C1CC1; [None]; [None]; [0]
-c1cnc2c(-c3cnc4cccnn34)coc2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc(N4CCOCC4)cc3)coc2c1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1coc2cccnc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2coc3cccnc23)cn1; [None]; [None]; [0]
-Cc1cc(Nc2coc3cccnc23)sn1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1ccc2c(Cc3coc4cccnc34)nccc2c1; [None]; [None]; [0]
-c1cnc(Nc2coc3cccnc23)nc1; [None]; [None]; [0]
-O=C(Nc1coc2cccnc12)C1CC1; [None]; [None]; [0]
-Clc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1cc(-c2coc3cccnc23)cc(C2CCNCC2)c1; [None]; [None]; [0]
-Fc1cccc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-OCCOc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2coc3cccnc23)nc1)N1CCOCC1; [None]; [None]; [0]
-c1cnc2c(Nc3ccncn3)coc2c1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2coc3cccnc23)cc1)N1CCOCC1; [None]; [None]; [0]
-c1ccc(Cc2coc3cccnc23)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1coc2cccnc12; [None]; [None]; [0]
-Cc1cc(-c2coc3cccnc23)nn1C; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1coc2cccnc12; [None]; [None]; [0]
-c1cnc2c(C3CCCCC3)coc2c1; [None]; [None]; [0]
-c1cnc2c(Cc3ccncc3)coc2c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1cncc(Cc2coc3cccnc23)c1; [None]; [None]; [0]
-c1cnc2c(Cc3cncnc3)coc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2coc3cccnc23)s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2coc3cccnc23)CC1; [None]; [None]; [0]
-OC[C@@H](O)Cc1coc2cccnc12; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2coc3cccnc23)C1; [None]; [None]; [0]
-Nc1ncc(Cc2coc3cccnc23)cn1; [None]; [None]; [0]
-c1cnc2c(-c3cncnc3)coc2c1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2coc3cccnc23)cc1Cl; [None]; [None]; [0]
-Clc1ncc(-c2coc3cccnc23)cn1; [None]; [None]; [0]
-Brc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1ccc2c(-c3coc4cccnc34)c[nH]c2c1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1coc2cccnc12; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1coc2cccnc12; [None]; [None]; [0]
-COc1ccc(Cc2coc3cccnc23)cc1; [None]; [None]; [0]
-Cc1cc(-c2coc3cccnc23)sn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2coc3cccnc23)cc1Cl; [None]; [None]; [0]
-c1c[nH]c(-c2coc3cccnc23)c1; [None]; [None]; [0]
-c1cnc2c(Cn3ccnc3)coc2c1; [None]; [None]; [0]
-c1cnc2c(-c3cc(N4CCOCC4)ccn3)coc2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc4c(c3)CCO4)coc2c1; [None]; [None]; [0]
-c1ccc2cc(-c3coc4cccnc34)ncc2c1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3coc4cccnc34)n[nH]2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3coc4cccnc34)CC2)c1; [None]; [None]; [0]
-c1cc2c(c(-c3coc4cccnc34)c1)OCO2; [None]; [None]; [0]
-c1cnc2c(-c3scc4c3OCCO4)coc2c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1coc2cccnc12; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2coc3cccnc23)CC1; [None]; [None]; [0]
-Fc1ccc(-c2coc3cccnc23)cc1F; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2coc3cccnc23)cc1; [None]; [None]; [0]
-c1ccc2ncc(-c3coc4cccnc34)cc2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2coc3cccnc23)CC1; [None]; [None]; [0]
-COCCOc1coc2cccnc12; [None]; [None]; [0]
-CC1(COc2coc3cccnc23)COC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2coc3cccnc23)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2coc3cccnc23)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3coc4cccnc34)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1coc2cccnc12; [None]; [None]; [0]
-Cc1cc(-c2coc3cccnc23)nc(N)n1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1coc2cccnc12; [None]; [None]; [0]
-c1coc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2coc3cccnc23)C1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2coc3cccnc23)CC1; [None]; [None]; [0]
-Brc1cnc(-c2coc3cccnc23)nc1; [None]; [None]; [0]
-Clc1ccc(-c2coc3cccnc23)c(Cl)c1; [None]; [None]; [0]
-CCCCCc1coc2cccnc12; [None]; [None]; [0]
-CC[NH+](CC)c1coc2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3ncc4cccn4n3)coc2c1; [None]; [None]; [0]
-COc1ccc(CNc2coc3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(-c3ccsc3)coc2c1; [None]; [None]; [0]
-COc1cc(-c2coc3cccnc23)ccc1N1CCOCC1; [None]; [None]; [0]
-c1cnc2c(CCCn3cncn3)coc2c1; [None]; [None]; [0]
-Cn1cc(-c2coc3cccnc23)c(C(F)(F)F)n1; [None]; [None]; [0]
-c1cnc2c(-c3cc4ccccn4n3)coc2c1; [None]; [None]; [0]
-c1cnc2c(-c3ccc(N4CCCCC4)cc3)coc2c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-COc1cc(F)c(-c2coc3cccnc23)cc1OC; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3coc4cccnc34)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3coc4cccnc34)c2c1; [None]; [None]; [0]
-Cc1csc2c(-c3coc4cccnc34)ncnc12; [None]; [None]; [0]
-Oc1ccc2cccc(-c3coc4cccnc34)c2c1; [None]; [None]; [0]
-COc1cc(-c2coc3cccnc23)ccc1Cl; [None]; [None]; [0]
-c1cc(-c2coc3cccnc23)cc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1nc(Nc2coc3cccnc23)sc1C; [None]; [None]; [0]
-Clc1cnc(-c2coc3cccnc23)nc1; [None]; [None]; [0]
-Cc1ccc(-c2coc3cccnc23)o1; [None]; [None]; [0]
-Cc1cc(Nc2coc3cccnc23)nn1C; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2coc3cccnc23)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2coc3cccnc23)c1; [None]; [None]; [0]
-COc1cc(-c2coc3cccnc23)c(OC)cc1Br; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2coc3cccnc23)CC1; [None]; [None]; [0]
-O=C(Nc1coc2cccnc12)c1ccco1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2coc3cccnc23)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3coc4cccnc34)c1)OCOC2; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2coc3cccnc23)cc1; [None]; [None]; [0]
-c1cnc2c(-c3ccc4cn[nH]c4c3)coc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2coc3cccnc23)CC1; [None]; [None]; [0]
-CC(C)Oc1coc2cccnc12; [None]; [None]; [0]
-CCn1cc(-c2coc3cccnc23)cn1; [None]; [None]; [0]
-COc1ccc2oc(-c3coc4cccnc34)cc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3coc4cccnc34)c2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2coc3cccnc23)cc1; [None]; [None]; [0]
-c1ccc2oc(-c3coc4cccnc34)cc2c1; [None]; [None]; [0]
-Cc1nc(-c2coc3cccnc23)c2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2coc3cccnc23)c1; [None]; [None]; [0]
-COC(=O)Nc1coc2cccnc12; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1coc2cccnc12; [None]; [None]; [0]
-Clc1ccc2nc(-c3coc4cccnc34)ncc2c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1coc2cccnc12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2coc3cccnc23)c1)N1CCCC1; [None]; [None]; [0]
-c1cnc2c(-c3ncc4sccc4n3)coc2c1; [None]; [None]; [0]
-COc1ccc2nc(-c3coc4cccnc34)[nH]c2c1; [None]; [None]; [0]
-c1cnc2c(-c3cscn3)coc2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Cn1cc(-c2coc3cccnc23)c2ccccc21; [None]; [None]; [0]
-FC(F)(F)Oc1coc2cccnc12; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2coc3cccnc23)n1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2coc3cccnc23)cc1Cl; [None]; [None]; [0]
-Cn1ncc2cc(-c3coc4cccnc34)ccc21; [None]; [None]; [0]
-Cc1cc(-c2coc3cccnc23)cc(C)c1OCCO; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2coc3cccnc23)c1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3coc4cccnc34)ccc12; [None]; [None]; [0]
-CCc1cccc(-c2coc3cccnc23)n1; [None]; [None]; [0]
-FC1(F)CCC(c2coc3cccnc23)CC1; [None]; [None]; [0]
-O=S1(=O)CCC(c2coc3cccnc23)CC1; [None]; [None]; [0]
-CN(C)c1ccc(-c2coc3cccnc23)cn1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1coc2cccnc12; [None]; [None]; [0]
-C[NH+](C)CCCc1coc2cccnc12; [None]; [None]; [0]
-c1cnc2c(CC3CCOCC3)coc2c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1coc2cccnc12; [None]; [None]; [0]
-OCCc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1coc2cccnc12; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2coc3cccnc23)c(Cl)c1; [None]; [None]; [0]
-Fc1ccc(Nc2coc3cccnc23)nc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1coc2cccnc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2coc3cccnc23)c(OC)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2coc3cccnc23)c1; [None]; [None]; [0]
-c1ccc(Nc2coc3cccnc23)nc1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1coc2cccnc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccccc3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1ccccc1']; [0.998125]
-CNC(=O)c1ccc(C)c(-c2coc3cccnc23)c1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccc2n[nH]c(C)c2c1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.999596655, 0.999596655]
-CNC(=O)c1ccccc1-c1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc3n[nH]c(C)c3c2)[nH]1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccccc3S(=O)(=O)C(C)C)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc([C@@H]3C[C@H](O)C3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(Cc3cc(F)cc(F)c3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccccc3P(C)(C)=O)cc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cc[nH]n3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1cc[nH]n1']; [0.997299492]
-Cc1[nH]nc2ccc(C3CCOCC3)cc12; [None]; [None]; [0]
-Cc1cccc(-c2ccc3n[nH]c(C)c3c2)c1; ['Cc1[nH]nc2ccc(Br)cc12']; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; [0.999896526]
-Cc1[nH]nc2ccc(-c3ccnc4ccccc34)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccc(C(F)(F)F)c3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999667645]
-Cc1[nH]nc2ccc(-c3cccnc3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccccc3Br)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1ccccc1Br']; [0.914308608]
-Cc1[nH]nc2ccc(-c3ccccc3Cl)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1ccccc1Cl']; [0.994432867]
-Cc1[nH]nc2ccc(-c3ccccc3OC(F)(F)F)cc12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999836206, 0.999836206]
-Cc1[nH]nc2ccc(-c3ccccc3C(=O)[O-])cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccccc3F)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3c(F)cccc3F)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1c(F)cccc1F']; [0.98680824]
-Cc1[nH]nc2ccc(-c3ccccc3C#N)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnn(Cc4ccccc4)c3)cc12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.999971271]
-Cc1[nH]nc2ccc(-c3ccccc3C(N)=O)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc([C@@H](N)c3ccco3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccncn3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3csc(C(C)(C)C)n3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnn(CCO)c3)cc12; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.999969125]
-Cc1[nH]nc2ccc(C3CCCCC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccc(NC(=O)c4ccccc4)c3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc([C@@H]3CC[C@@H](CO)OC3)cc12; [None]; [None]; [0]
-COc1cnc(-c2ccc3n[nH]c(C)c3c2)nc1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc4c(c3)CCC4)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(CC3CCCCC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(OCC(=O)C(C)C)cc12; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2n[nH]c(C)c2c1; ['Cc1[nH]nc2ccc(Br)cc12']; ['Cc1cn2ccccc2n1']; [0.999930859]
-Cc1[nH]nc2ccc(-c3cnco3)cc12; [None]; [None]; [0]
-Cc1ccc(-c2ccc3n[nH]c(C)c3c2)c(Br)c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnc4ccccn34)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1ccn2ccnc2c1']; [0.992645741]
-CNc1nc(C)c(-c2ccc3n[nH]c(C)c3c2)s1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3n[nH]c(C)c3c2)s1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3c(Cl)cccc3Cl)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.979340672]
-Cc1nc(N)sc1-c1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(OC3CCCCC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(NCc3cccnc3)cc12; ['Cc1[nH]nc2ccc(N)cc12']; ['O=Cc1cccnc1']; [0.972489834]
-Cc1[nH]nc2ccc(NC(C)(C)C)cc12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ccc3n[nH]c(C)c3c2)c1; ['Cc1[nH]nc2ccc(Br)cc12']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.957642257]
-Cc1[nH]nc2ccc(-c3cccc(Cl)c3Cl)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1cccc(Cl)c1Cl']; [0.998608053]
-Cc1ncc(-c2ccc3n[nH]c(C)c3c2)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2ccc3n[nH]c(C)c3c2)c1; [None]; [None]; [0]
-CCC(C)(C)c1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(Nc3cccnc3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['Nc1cccnc1']; [0.997104228]
-Cc1[nH]nc2ccc(-c3ccc(Cl)s3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccnc(N)n3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc4ccccc4c3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1ccc2ccccc2c1']; [0.999172866]
-Cc1[nH]nc2ccc(-n3cnc4ccccc43)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1ccc2[nH]cnc2c1']; [0.865814745]
-Cc1[nH]nc2ccc(NCCc3c[nH]cn3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(NC(=O)c3cccs3)cc12; ['Cc1[nH]nc2ccc(N)cc12']; ['O=C(O)c1cccs1']; [0.999589145]
-COC(=O)[C@@H](N)Cc1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(N[C@H](C)CO)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(OCC(C)C)cc12; [None]; [None]; [0]
-CCCCc1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccc(CC(=O)[O-])c3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(O[C@H](C)[C@@H](C)O)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc(-c4cnn(C)c4)cc3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cncc4ccccc34)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1cncc2ccccc12']; [0.999037623]
-Cc1[nH]nc2ccc(NCCc3ccccc3)cc12; ['BrCCc1ccccc1']; ['Cc1[nH]nc2ccc(N)cc12']; [0.948884666]
-Cc1[nH]nc2ccc(-c3ccc4c(N)[nH]nc4c3)cc12; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3n[nH]c(C)c3c2)n1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc4c(cnn4C)c3)cc12; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.999995, 0.999995]
-Cc1[nH]nc2ccc(O[C@@H](C)C[NH+](C)C)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccc(O)c3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1cccc(O)c1']; [0.996908844]
-Cc1[nH]nc2ccc(-c3cccc(CO)c3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OCc1cccc(B(O)O)c1']; [0.993924081]
-Cc1[nH]nc2ccc(Nc3ccncc3)cc12; ['Brc1ccncc1']; ['Cc1[nH]nc2ccc(N)cc12']; [0.994983554]
-Cc1[nH]nc2ccc(CCC[NH3+])cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cncn3C)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc([C@@H]3CCC[C@H]([NH3+])C3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnn(C)c3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccco3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1ccco1']; [0.999603689]
-Cc1[nH]nc2ccc(-c3cnoc3C(C)C)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccs3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(NC(C)C)cc12; ['CC(C)=O']; ['Cc1[nH]nc2ccc(N)cc12']; [0.995001]
-Cc1[nH]nc2ccc(-c3cccc(CCC#N)c3)cc12; [None]; [None]; [0]
-CSc1nc(-c2ccc3n[nH]c(C)c3c2)c[nH]1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4n[nH]c(C)c4c3)cc2s1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc(F)cc3C(F)(F)F)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.998818696]
-Cc1[nH]nc2ccc(-c3csc4ncncc34)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cn(C)c4ccccc34)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(OC(F)(F)F)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(N3CCC(S(C)(=O)=O)CC3)cc12; [None]; [None]; [0]
-CCC(=O)Nc1ccc2n[nH]c(C)c2c1; ['CCC(=O)O']; ['Cc1[nH]nc2ccc(N)cc12']; [0.999345839]
-CCC(=O)Nc1ccc(-c2ccc3n[nH]c(C)c3c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc3n[nH]c(C)c3c2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.998424411]
-CC(=O)Nc1cccc(-c2ccc3n[nH]c(C)c3c2)c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnoc3)cc12; [None]; [None]; [0]
-Cc1cc(-c2ccc3n[nH]c(C)c3c2)no1; [None]; [None]; [0]
-Cc1[nH]nc2ccc([C@@H](C)C(F)(F)F)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnn4ccccc34)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccn([C@@H2]CO)c(=O)c3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cc[nH]c(=O)c3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(NC(=O)NC(C)(C)C)cc12; ['CC(C)(C)N=C=O']; ['Cc1[nH]nc2ccc(N)cc12']; [0.999667764]
-CCCn1cc(-c2ccc3n[nH]c(C)c3c2)cn1; [None]; [None]; [0]
-COc1cc(CCc2ccc3n[nH]c(C)c3c2)cc(OC)c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccc4c3C(=O)CC4)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc(Cl)c(C(=O)[O-])c3)cc12; [None]; [None]; [0]
-CCOC(=O)Cc1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc(C(C)(C)N)cc3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cc4c(=O)[nH]ccc4o3)cc12; [None]; [None]; [0]
-CCN(CC)c1ccc2n[nH]c(C)c2c1; []; []; []
-COc1ccncc1Nc1ccc2n[nH]c(C)c2c1; ['COc1ccncc1Br', 'COc1ccncc1N']; ['Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.999622464, 0.999622464]
-Cc1[nH]nc2ccc(Nc3cnc4ccccc4c3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc([S@](C)=O)cc3)cc12; ['CS(=O)c1ccc(B(O)O)cc1']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.992171884]
-Cc1[nH]nc2ccc([C@H](CO)Cc3ccccc3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3c[nH]c4cnccc34)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc([C@@H]3CC[C@@H](NC(=O)O)C3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(C3(C)CCN(S(C)(=O)=O)CC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnc4[nH]ccc4c3)cc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.999999881]
-Cc1[nH]nc2ccc([C@@H]3CC[C@@H](C#N)CC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc([C@@H]3CC[C@@H](CC#N)CC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc([C@@H]3CCCN(C(=O)CC#N)C3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc([C@H]3COCC[C@@H]3C#N)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc(S(C)(=O)=O)cc3)cc12; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.99987793, 0.99987793]
-Cc1[nH]nc2ccc(-c3ccc(N4CCOCC4)cc3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999972582]
-Cc1[nH]nc2ccc([C@@H]3CC[C@@H](CCC#N)CC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-n3ccc(CO)n3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-n3cnc(CCO)c3)cc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3n[nH]c(C)c3c2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc3n[nH]c(C)c3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(N[C@H](C)C(C)(C)O)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(N[C@@H](C)C(C)(C)O)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(N[C@@H](C)C(C)(C)C)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-n3ncc4ccccc43)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-n3ncc4c(O)cccc43)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccnc3O)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccc(F)c3C(N)=O)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3n[nH]c(C)c3c2)[nH]1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3nc[nH]n3)cc12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3n[nH]c(C)c3c2)c(OC)c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3nc4ccc(O)cc4[nH]3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(NCC(C)(C)[NH3+])cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3nncn3C(C)C)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(Cc3ccncc3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3nncn3[C@H](C)CO)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc(C(=O)c4ccccc4)cc3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(CCC(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-n3ccnc3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1c[nH]cn1']; [0.980809212]
-Cc1[nH]nc2ccc(N[C@H](C)C(C)(C)C)cc12; ['C[C@@H](N)C(C)(C)C']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.941928685]
-Cc1[nH]nc2ccc(-c3nncn3C)cc12; [None]; [None]; [0]
-CCc1cc(-c2ccc3n[nH]c(C)c3c2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ccc3n[nH]c(C)c3c2)nc(N)n1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(OC3CCOCC3)cc12; [None]; [None]; [0]
-Cc1cncc(-c2ccc3n[nH]c(C)c3c2)n1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3nnc(N)s3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cn(Cc4ccccc4)nn3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3csc(N4CCOCC4)n3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnc(N)s3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc([C@H]3CCCN3C(N)=O)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3nc4ccccc4s3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1ccc2scnc2c1']; [0.99252665]
-CNC(=O)c1ccc(-c2ccc3n[nH]c(C)c3c2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccc2n[nH]c(C)c2c1; ['COc1cccc(F)c1B(O)O']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.997930408]
-Cc1[nH]nc2ccc(CC3CCOCC3)cc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc3n[nH]c(C)c3c2)[nH]1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3nc(N)c4ccccc4n3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccc4ccsc34)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cn(C)n(C)c3=O)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnccc3N3CCOCC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(Cc3cccnc3)cc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3c[nH]c4cccnc34)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(NCC(C)(C)C)cc12; ['CC(C)(C)C=O']; ['Cc1[nH]nc2ccc(N)cc12']; [0.991314352]
-Cc1[nH]nc2ccc(O[C@@H]3CC[C@H](O)CC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(Cc3ccccc3NS(C)(=O)=O)cc12; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc3n[nH]c(C)c3c2)c1; ['Cc1[nH]nc2ccc(Br)cc12']; ['Cc1cc(C)cc(B2OC(C)(C)C(C)(C)O2)c1']; [0.999892]
-Cc1[nH]nc2ccc([C@H]3CC[C@@](C)(O)CC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(OC(C)(C)C)cc12; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccc3n[nH]c(C)c3c2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.995567501]
-Cc1[nH]nc2ccc(N3CCC(c4nc5ccccc5[nH]4)CC3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.998655558]
-c1ccc2nc(Nc3ncc4ccccc4n3)ncc2c1; ['Clc1ncc2ccccc2n1']; ['Nc1ncc2ccccc2n1']; [0.996075928]
-Cc1[nH]nc2ccc(N3CC=C(c4c[nH]c5ccccc45)CC3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnnc(N(C)C)c3)cc12; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2ncc3ccccc3n2)cc1; ['CC(=O)N(C)c1ccc(N)cc1']; ['Clc1ncc2ccccc2n1']; [0.999971151]
-c1ccc2nc(Nc3ccc(N4CCOCC4)cc3)ncc2c1; ['Clc1ncc2ccccc2n1']; ['Nc1ccc(N2CCOCC2)cc1']; [0.999998]
-COc1cccc(N2CCC(Nc3ncc4ccccc4n3)CC2)c1; ['COc1cccc(N2CCC(=O)CC2)c1']; ['Nc1ncc2ccccc2n1']; [0.999840498]
-O=C(Nc1cccc(Nc2ncc3ccccc3n2)c1)C1CC1; [None]; [None]; [0]
-c1ccc(Nc2ncc3ccccc3n2)cc1; ['Clc1ncc2ccccc2n1']; ['Nc1ccccc1']; [0.999982953]
-O=C([O-])c1ccc(Nc2ncc3ccccc3n2)cc1; ['Clc1ncc2ccccc2n1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.998360097]
-CS(=O)(=O)Nc1ccc(Nc2ncc3ccccc3n2)cn1; [None]; [None]; [0]
-O=C(c1ccc(Nc2ncc3ccccc3n2)cc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(Nc2ncc3ccccc3n2)cc1; ['CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncc2ccccc2n1']; [0.999168158]
-CC(=O)NCc1ccc(Nc2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-O=C(c1ccc(Nc2ncc3ccccc3n2)nc1)N1CCOCC1; [None]; [None]; [0]
-c1ccc2nc(NC3CCCCC3)ncc2c1; ['Nc1ncc2ccccc2n1']; ['O=C1CCCCC1']; [0.997781456]
-C[C@@H](O)COc1ccc(Nc2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(Nc2ncc3ccccc3n2)cc1; ['CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncc2ccccc2n1']; [0.998873055]
-O=C(c1ccccc1)N1CC[C@H](Nc2ncc3ccccc3n2)C1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(Nc2ncc3ccccc3n2)CC1; ['CS(=O)(=O)N1CCC(N)CC1']; ['Clc1ncc2ccccc2n1']; [0.999982238]
-COc1cc(OC)c(Nc2ncc3ccccc3n2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N']; ['Clc1ncc2ccccc2n1']; [0.994881749]
-CN(C)c1ccc(Nc2ncc3ccccc3n2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['Clc1ncc2ccccc2n1']; [0.999349058]
-Cc1c(Nc2ncc3ccccc3n2)cccc1C(=O)[O-]; [None]; [None]; [0]
-c1ccc2nc(Nc3cc(N4CCOCC4)ccn3)ncc2c1; [None]; [None]; [0]
-c1ccc(-c2cc(Nc3ncc4ccccc4n3)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2ncc3ccccc3n2)sn1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](Nc2ncc3ccccc3n2)CC1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2Nc2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3ncc4ccccc4n3)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ncc3ccccc3n2)cc1; ['CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1ncc2ccccc2n1']; [0.994446874]
-CC(=O)N[C@@H]1CC[C@@H](Nc2ncc3ccccc3n2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2ncc3ccccc3n2)cn1; [None]; [None]; [0]
-COCCNc1ncc2ccccc2n1; ['COCCO']; ['Nc1ncc2ccccc2n1']; [0.998594224]
-COc1cc(N2CCOCC2)ccc1Nc1ncc2ccccc2n1; ['COc1cc(N2CCOCC2)ccc1N']; ['Clc1ncc2ccccc2n1']; [0.999992]
-CCN1CCN(Cc2ccc(Nc3ncc4ccccc4n3)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1ncc2ccccc2n1']; [0.93638587]
-COc1cc(Nc2ncc3ccccc3n2)ccc1N1CCOCC1; [None]; [None]; [0]
-COc1cccc(C(=O)NNc2ncc3ccccc3n2)c1; [None]; [None]; [0]
-c1ccc2nc(Nc3ncc4cccn4n3)ncc2c1; [None]; [None]; [0]
-c1ccc2nc(NC3CCOCC3)ncc2c1; ['Clc1ncc2ccccc2n1']; ['NC1CCOCC1']; [0.99999845]
-c1ccc2nc(Nc3ccc(N4CCCCC4)cc3)ncc2c1; [None]; [None]; [0]
-CC1(C)Cc2cc(Nc3ncc4ccccc4n3)ccc2O1; [None]; [None]; [0]
-Cc1csc2c(Nc3ncc4ccccc4n3)ncnc12; [None]; [None]; [0]
-c1cc(Nc2ncc3ccccc3n2)cc(-n2nccn2)c1; ['Clc1ncc2ccccc2n1']; ['Nc1cccc(-n2nccn2)c1']; [0.999999642]
-c1ccc2nc(Nc3cc4ccccn4n3)ncc2c1; [None]; [None]; [0]
-Clc1cnc(Nc2ncc3ccccc3n2)nc1; ['CS(=O)c1ncc(Cl)cn1']; ['Nc1ncc2ccccc2n1']; [0.979570389]
-CCNC(=O)N1CCC(Nc2ncc3ccccc3n2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(Nc3ncc4ccccc4n3)c1)OCOC2; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2ncc3ccccc3n2)CC1; [None]; [None]; [0]
-COc1ccc2oc(Nc3ncc4ccccc4n3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(Nc2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](Nc2ncc3ccccc3n2)CC1; [None]; [None]; [0]
-c1cncc(-c2ccnc(Nc3ncc4ccccc4n3)c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2ncc3ccccc3n2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['Clc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.999963403, 0.999963403]
-Cc1nc(Nc2ncc3ccccc3n2)c2sccc2n1; [None]; [None]; [0]
-Clc1ccc2nc(Nc3ncc4ccccc4n3)ncc2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-c1ccc2nc(Nc3ncc4sccc4n3)ncc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2ncc3ccccc3n2)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(Nc3ncc4ccccc4n3)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(Nc2ncc3ccccc3n2)n1; [None]; [None]; [0]
-Cn1cc(Nc2ncc3ccccc3n2)c2ccccc21; [None]; [None]; [0]
-CN(C)c1ccc(Nc2ncc3ccccc3n2)cn1; ['CN(C)c1ccc(Br)cn1']; ['Nc1ncc2ccccc2n1']; [0.996075809]
-O=C([O-])c1ccc(Nc2ncc3ccccc3n2)cc1Cl; [None]; [None]; [0]
-Cc1n[nH]c2cc(Nc3ncc4ccccc4n3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['Nc1ncc2ccccc2n1']; [0.999995351]
-COc1cc(N2CCC(O)CC2)ccc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-O=S1(=O)CCC(Nc2ncc3ccccc3n2)CC1; ['Clc1ncc2ccccc2n1']; ['NC1CCS(=O)(=O)CC1']; [0.999967098]
-Cc1cc(Nc2ncc3ccccc3n2)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1Nc1ncc2ccccc2n1; ['Cc1cc(N2CCOCC2)ccc1N']; ['Clc1ncc2ccccc2n1']; [0.999999642]
-CNC(=O)c1ccc(Nc2ncc3ccccc3n2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['Nc1ncc2ccccc2n1']; [0.998761058]
-FC1(F)CCC(Nc2ncc3ccccc3n2)CC1; ['Clc1ncc2ccccc2n1']; ['NC1CCC(F)(F)CC1']; [0.999999166]
-C[C@H](CS(C)(=O)=O)Nc1ncc2ccccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2ncc3ccccc3n2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ncc3ccccc3n2)c(Cl)c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(O)cc3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['OB(O)c1ccc(O)cc1']; [0.996541083]
-CCNC(=O)c1ccc(Nc2ncc3ccccc3n2)cc1; ['CCNC(=O)c1ccc(I)cc1']; ['Nc1ncc2ccccc2n1']; [0.989094794]
-COc1ccc2c(-c3ccccc3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['OB(O)c1ccccc1', 'Cl[Mg]c1ccccc1']; [0.998757958, 0.998757958]
-COc1ccc2c(-c3ccncc3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['OB(O)c1ccncc1']; [0.999774635]
-COc1ccc2c(-c3cccc4ncccc34)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['OB(O)c1cccc2ncccc12']; [0.999327779]
-Cc1ccc(C(=O)NCCO)cc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-COc1ccc2c(-c3cn[nH]c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnn(C)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(Cl)c(O)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c(F)cccc3F)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['OB(O)c1c(F)cccc1F']; [0.999776661]
-CCc1ccc(-c2ccnc3cc(OC)ccc23)cc1; ['CCc1ccc(Br)cc1']; ['COc1ccc2c(Cl)ccnc2c1']; [0.976960063]
-COc1ccc2c(-c3n[nH]c4ccccc34)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(F)cc3C)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['Cc1cc(F)ccc1Br']; [0.999052942]
-CNS(=O)(=O)c1ccc(-c2ccnc3cc(OC)ccc23)cc1; [None]; [None]; [0]
-COc1ccc2c(-c3ccccc3C)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['Cc1ccccc1B(O)O']; [0.999364674]
-COc1ccc2c(-c3nc4ccccc4n3C)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c(Cl)cccc3Cl)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.981779873]
-COc1ccc2c(-c3ccc(C(N)=O)cc3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.999585807]
-COc1ccc2c(Oc3ccc(F)cc3)ccnc2c1; ['COc1ccc2c(O)ccnc2c1']; ['Fc1ccc(F)cc1']; [0.986116171]
-COc1ccc2c(-c3ccc(C(N)=O)cc3F)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccnc(N)n3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnc(C)[nH]3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(O)cc3Cl)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccccc3Cl)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['OB(O)c1ccccc1Cl']; [0.997794032]
-COc1ccc2c(-c3cn[nH]c3Cl)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c([C@@H]3C[C@H](O)C3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(O)c(OC)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C(=O)[O-])cc3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc[nH]c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C#N)cc3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnccn3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnc(C#N)cn3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccoc3)ccnc2c1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccnc3cc(OC)ccc23)o1; [None]; [None]; [0]
-COc1ccc2c(COc3cccc(Cl)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(CCc3ccc(O)c(OC)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cccc(Br)c3)ccnc2c1; ['Brc1cccc(Br)c1']; ['COc1ccc2c(Cl)ccnc2c1']; [0.98412782]
-COc1ccc2c(CCCO)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C#N)nc3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['N#Cc1ccc(B(O)O)cn1']; [0.999856949]
-COC(=O)c1ccc(Cl)c(-c2ccnc3cc(OC)ccc23)c1; [None]; [None]; [0]
-COc1ccc2c(-c3cccs3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-n3ccc(CC(=O)[O-])c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(F)c(Cl)c3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['OB(O)c1ccc(F)c(Cl)c1']; [0.999964952]
-COc1ccc2c(-c3ccncn3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(O)cc3O)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c([C@H](CO)c3ccccc3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(O)ccc3C)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(COc3ccccc3Cl)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c(C)ccc4[nH]ncc34)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(CCc3ccc(Cl)cc3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c(Cl)ccc4c3OCO4)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(O)ccc3Cl)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c[nH]c(C(N)=O)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnc(O)c(Cl)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C)c(C)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(CO)ccc3C)ccnc2c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccnc3cc(OC)ccc23)c1; ['COc1cc(OC)cc(B(O)O)c1']; ['COc1ccc2c(Cl)ccnc2c1']; [0.999915838]
-COCCCc1ccnc2cc(OC)ccc12; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccnc4cc(OC)ccc34)ccc12; [None]; [None]; [0]
-COc1ccc2c(-c3ccc4nc(C)[nH]c4c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(Cn3ccccc3=O)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(OC)c(OC)c3)ccnc2c1; ['COc1ccc(Br)cc1OC']; ['COc1ccc2c(Cl)ccnc2c1']; [0.998503923]
-COc1ccc2c(-c3nnc(C)o3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(NC(N)=O)cc3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3nnco3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(S(C)(=O)=O)cc3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999898076]
-COc1ccc2c(-c3nc4ccccc4s3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnc4[nH]ccc4c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cncc(O)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc4c(c3)CC(=O)N4)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c([C@H](C)CC(N)=O)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(C3CCOCC3)ccnc2c1; [None]; [None]; [0]
-CNc1nccc(-c2ccnc3cc(OC)ccc23)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccnc2cc(OC)ccc12; [None]; [None]; [0]
-COc1ccc2c([C@@H]3CC[C@H](C(N)=O)CC3)ccnc2c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccnc2cc(OC)ccc12; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(O)cc3C)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['Cc1cc(O)ccc1B(O)O']; [0.94998771]
-COc1ccc2c(-c3c(C)cccc3C)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['Cc1cccc(C)c1B(O)O']; [0.999143243]
-COc1ccc2c(-c3ncc(F)cn3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-n3ccnc3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['c1c[nH]cn1']; [0.999064147]
-CCc1sccc1-c1ccnc2cc(OC)ccc12; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(Br)o3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(N(C)c3cccc(Cl)c3)ccnc2c1; ['CNc1cccc(Cl)c1']; ['COc1ccc2c(Cl)ccnc2c1']; [0.962843657]
-COc1ccc2c(-c3nccs3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc4c(c3)CCN4)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(Cl)c(O)c(Cl)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(N)[nH]n3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc4[nH]c(=O)[nH]c4c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3nncs3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(N)n[nH]3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(Nc3ccncc3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['Nc1ccncc1']; [0.999995232]
-COc1ccc2c(-c3[nH]nc4ccc(F)cc34)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cccc([O-])c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c(N)cnn3C)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(Br)cc3F)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['OB(O)c1ccc(Br)cc1F']; [0.999057949]
-COc1ccc2c(-c3nc(C)cs3)ccnc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc3cc(OC)ccc23)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['COc1ccc2c(Cl)ccnc2c1']; [0.999611318]
-COc1ccc2c(-c3[nH]nc(C)c3C)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(O)cc(Br)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C)nc3C)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C)c(C)n3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnco3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C(=O)NC4CC4)cc3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999940038]
-COc1ccc2c(-c3ccc(C(N)=O)c(C)c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(F)c(O)c(F)c3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['Oc1c(F)cccc1F']; [0.875541]
-COc1ccc2c(-c3ccc4nc(C)oc4c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cccc(SC)c3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['CSc1cccc(B(O)O)c1']; [0.997817039]
-COc1ccc2c(-c3ccc4c(=O)[nH][nH]c4c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(OCc3ccccc3)ccnc2c1; ['COc1ccc2c(O)ccnc2c1']; ['ClCc1ccccc1']; [0.999793589]
-COc1ccc2c(OCc3cccc4ccccc34)ccnc2c1; ['COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(O)ccnc2c1']; ['ClCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0.999964476, 0.999964476]
-COc1ccc2c(-c3[nH]cnc3-c3ccc(F)cc3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(Oc3ccc(F)cc3F)ccnc2c1; ['COc1ccc2c(O)ccnc2c1']; ['Fc1ccc(Br)c(F)c1']; [0.999995232]
-COc1ccc2c(CCc3c[nH]c4ccccc34)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(F)cc3Cl)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['OB(O)c1ccc(F)cc1Cl']; [0.996560872]
-COc1ccc2c(Oc3ccccc3F)ccnc2c1; ['COc1ccc2c(O)ccnc2c1']; ['Fc1ccccc1F']; [0.99780041]
-COc1ccc2c(-c3c(-c4ccccc4)noc3C)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(OCc3ccc(F)cc3F)ccnc2c1; ['COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(O)ccnc2c1']; ['Fc1ccc(CCl)c(F)c1', 'Fc1ccc(CBr)c(F)c1']; [0.999997735, 0.999997735]
-COc1ccc2c(Cc3ccc(F)cc3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cn[nH]c3-c3ccc(Cl)cc3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(NCc3c(F)cccc3Cl)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['NCc1c(F)cccc1Cl']; [0.999155283]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc(O)cc3)ccc21; [None]; [None]; [0]
-COc1ccc2c(CCc3ccc(F)cc3F)ccnc2c1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccccc3)ccc21; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cn1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccncc3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cn[nH]c3)ccc21; [None]; [None]; [0]
-CCc1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cccc4ncccc34)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3n[nH]c4ccccc34)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3c(F)cccc3F)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc(Cl)c(O)c3)ccc21; [None]; [None]; [0]
-Cn1c(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)nc2ccccc21; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3c(Cl)cccc3Cl)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(Oc3ccc(F)cc3)ccc21; [None]; [None]; [0]
-Cc1ccccc1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc(O)cc3Cl)ccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)c(F)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1; [None]; [None]; [0]
-Nc1nccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)n1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc([C@@H]3C[C@H](O)C3)ccc21; [None]; [None]; [0]
-Cc1ncc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)[nH]1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cn[nH]c3Cl)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccccc3Cl)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cc[nH]c3)ccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1; [None]; [None]; [0]
-COc1cc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)ccc1O; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cnccn3)ccc21; [None]; [None]; [0]
-N#Cc1cnc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1; [None]; [None]; [0]
-COc1cc(CCc2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)o1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cccc(Br)c3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccoc3)ccc21; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cn1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(COc3cccc(Cl)c3)ccc21; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)c1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cccs3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc(O)cc3O)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(CCCO)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccncn3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc([C@H](CO)c3ccccc3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(COc3ccccc3Cl)ccc21; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)c1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(CCc3ccc(Cl)cc3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc(F)c(Cl)c3)ccc21; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1C; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3c(Cl)ccc4c3OCO4)ccc21; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)c[nH]1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(Cn3ccccc3=O)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cc(O)ccc3Cl)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cnc(O)c(Cl)c3)ccc21; [None]; [None]; [0]
-COCCCc1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1OC; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4c(c3)S(=O)(=O)c3ccccc3C4=O)cc2[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)c1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3nnco3)ccc21; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc4c(c3)S(=O)(=O)c3ccccc3C4=O)ccc12; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cnc4[nH]ccc4c3)ccc21; [None]; [None]; [0]
-Cc1nnc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)o1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3nc4ccccc4s3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(C3CCOCC3)ccc21; [None]; [None]; [0]
-O=C1Cc2cc(-c3ccc4c(c3)S(=O)(=O)c3ccccc3C4=O)ccc2N1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)CC1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cncc(O)c3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ncc(F)cn3)ccc21; [None]; [None]; [0]
-CNc1nccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc(Br)o3)ccc21; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-CCc1sccc1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cc(Cl)c(O)c(Cl)c3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc4c(c3)CCN4)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-n3ccnc3)ccc21; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)[nH]n1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc4[nH]c(=O)[nH]c4c3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3nccs3)ccc21; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)n[nH]1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(Nc3ccncc3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc(Br)cc3F)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3nncs3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3[nH]nc4ccc(F)cc34)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cccc([O-])c3)ccc21; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)c1C; [None]; [None]; [0]
-Cc1csc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cc(O)cc(Br)c3)ccc21; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)nc1C; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)ccc1C(N)=O; [None]; [None]; [0]
-Cc1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)c(C)n1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)cc1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc4c(=O)[nH][nH]c4c3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cnco3)ccc21; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4c(c3)S(=O)(=O)c3ccccc3C4=O)cc2o1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cc(F)c(O)c(F)c3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3[nH]cnc3-c3ccc(F)cc3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(OCc3ccccc3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(CCc3c[nH]c4ccccc34)ccc21; [None]; [None]; [0]
-CSc1cccc(-c2ccc3c(c2)S(=O)(=O)c2ccccc2C3=O)c1; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(Oc3ccc(F)cc3F)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3ccc(F)cc3Cl)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(OCc3cccc4ccccc34)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(Oc3ccccc3F)ccc21; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccc2c(c1)S(=O)(=O)c1ccccc1C2=O; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(Cc3ccc(F)cc3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(-c3cn[nH]c3-c3ccc(Cl)cc3)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(OCc3ccc(F)cc3F)ccc21; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(O)cc2)c1C; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(CCc3ccc(F)cc3F)ccc21; [None]; [None]; [0]
-O=C1c2ccccc2S(=O)(=O)c2cc(NCc3c(F)cccc3Cl)ccc21; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccncc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccccc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cccc3ncccc23)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cn[nH]c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cnn(C)c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2c(F)cccc2F)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(Cl)c(O)c2)c1C; [None]; [None]; [0]
-CCc1ccc(-c2c(C)[nH]c(C)c2C)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c(C)[nH]c(C)c2C)cc1; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2n[nH]c3ccccc23)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2nc3ccccc3n2C)c1C; [None]; [None]; [0]
-Cc1ccccc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(C(N)=O)cc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(Oc2ccc(F)cc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2c(Cl)cccc2Cl)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(O)cc2Cl)c1C; [None]; [None]; [0]
-Cc1ncc(-c2c(C)[nH]c(C)c2C)[nH]1; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(C(N)=O)cc2F)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccccc2Cl)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccnc(N)n2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c([C@@H]2C[C@H](O)C2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cc[nH]c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cn[nH]c2Cl)c1C; [None]; [None]; [0]
-COc1cc(-c2c(C)[nH]c(C)c2C)ccc1O; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(C(=O)[O-])cc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cnc(C#N)cn2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(C#N)cc2)c1C; [None]; [None]; [0]
-COC(=O)c1ccc(-c2c(C)[nH]c(C)c2C)o1; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cnccn2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccoc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(C#N)nc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(COc2cccc(Cl)c2)c1C; [None]; [None]; [0]
-COc1cc(CCc2c(C)[nH]c(C)c2C)ccc1O; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cccc(Br)c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-n2ccc(CC(=O)[O-])c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(CCCO)c1C; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2c(C)[nH]c(C)c2C)c1; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cccs2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(O)cc2O)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccncn2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(F)c(Cl)c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(COc2ccccc2Cl)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c([C@H](CO)c2ccccc2)c1C; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(CCc2ccc(Cl)cc2)c1C; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cc(O)ccc2Cl)c1C; [None]; [None]; [0]
-Cc1ccc(-c2c(C)[nH]c(C)c2C)cc1C; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cnc(O)c(Cl)c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2c(Cl)ccc3c2OCO3)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(Cn2ccccc2=O)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2c[nH]c(C(N)=O)c2)c1C; [None]; [None]; [0]
-COc1cc(OC)cc(-c2c(C)[nH]c(C)c2C)c1; [None]; [None]; [0]
-COc1ccc(-c2c(C)[nH]c(C)c2C)cc1OC; [None]; [None]; [0]
-COCCCc1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3c(C)[nH]c(C)c3C)ccc12; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2nnco2)c1C; [None]; [None]; [0]
-Cc1nnc(-c2c(C)[nH]c(C)c2C)o1; [None]; [None]; [0]
-Cc1nc2ccc(-c3c(C)[nH]c(C)c3C)cc2[nH]1; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cnc3[nH]ccc3c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(NC(N)=O)cc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(C2CCOCC2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(S(C)(=O)=O)cc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2nc3ccccc3s2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cncc(O)c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c([C@@H]2CC[C@H](C(N)=O)CC2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc3c(c2)CC(=O)N3)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c([C@H](C)CC(N)=O)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ncc(F)cn2)c1C; [None]; [None]; [0]
-CNc1nccc(-c2c(C)[nH]c(C)c2C)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(Br)o2)c1C; [None]; [None]; [0]
-Cc1cccc(C)c1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(N(C)c2cccc(Cl)c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-n2ccnc2)c1C; [None]; [None]; [0]
-CCc1sccc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2nccs2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cc(Cl)c(O)c(Cl)c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc3c(c2)CCN3)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc3[nH]c(=O)[nH]c3c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cc(N)[nH]n2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cc(N)n[nH]2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2nncs2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2c(N)cnn2C)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(Nc2ccncc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cccc([O-])c2)c1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c(C)[nH]c(C)c2C)cc1; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2[nH]nc3ccc(F)cc23)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(Br)cc2F)c1C; [None]; [None]; [0]
-Cc1ccc(-c2c(C)[nH]c(C)c2C)c(C)n1; [None]; [None]; [0]
-Cc1csc(-c2c(C)[nH]c(C)c2C)n1; [None]; [None]; [0]
-Cc1n[nH]c(-c2c(C)[nH]c(C)c2C)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cc(O)cc(Br)c2)c1C; [None]; [None]; [0]
-Cc1ccc(-c2c(C)[nH]c(C)c2C)nc1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cnco2)c1C; [None]; [None]; [0]
-Cc1cc(-c2c(C)[nH]c(C)c2C)ccc1C(N)=O; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(C(=O)NC3CC3)cc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cc(F)c(O)c(F)c2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc3c(=O)[nH][nH]c3c2)c1C; [None]; [None]; [0]
-Cc1nc2ccc(-c3c(C)[nH]c(C)c3C)cc2o1; [None]; [None]; [0]
-CSc1cccc(-c2c(C)[nH]c(C)c2C)c1; [None]; [None]; [0]
-Cc1[nH]c(C)c(OCc2ccccc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(OCc2cccc3ccccc23)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2[nH]cnc2-c2ccc(F)cc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(Oc2ccc(F)cc2F)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2ccc(F)cc2Cl)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(CCc2c[nH]c3ccccc23)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2c(-c3ccccc3)noc2C)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(Cc2ccc(F)cc2)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(Oc2ccccc2F)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(OCc2ccc(F)cc2F)c1C; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cnc2cccnn12; ['Cc1cc(F)ccc1Br']; ['c1cnn2ccnc2c1']; [0.999867558]
-Cc1[nH]c(C)c(NCc2c(F)cccc2Cl)c1C; [None]; [None]; [0]
-Cc1ccccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Cc1ccccc1Br']; ['Cc1ccccc1B(O)O', 'c1cnn2ccnc2c1']; [0.999959707, 0.999959707]
-Cc1[nH]c(C)c(-c2cn[nH]c2-c2ccc(Cl)cc2)c1C; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3cccnn23)c(F)c1; [None]; [None]; [0]
-Cc1[nH]c(C)c(CCc2ccc(F)cc2F)c1C; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
-Cn1c(-c2cnc3cccnn23)nc2ccccc21; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnc2cccnn12; [None]; [None]; [0]
-Clc1[nH]ncc1-c1cnc2cccnn12; [None]; [None]; [0]
-COCCCc1cnc2cccnn12; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cnc3cccnn13)OCO2; [None]; [None]; [0]
-Clc1ccc(CCc2cnc3cccnn23)cc1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnc3cccnn23)c[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnc4cccnn34)ccc12; [None]; [None]; [0]
-Cc1nnc(-c2cnc3cccnn23)o1; [None]; [None]; [0]
-c1cnn2c(-c3nnco3)cnc2c1; [None]; [None]; [0]
-c1cnn2c(-c3cnc4[nH]ccc4c3)cnc2c1; [None]; [None]; [0]
-c1cnn2c(C3CCOCC3)cnc2c1; [None]; [None]; [0]
-Fc1cnc(-c2cnc3cccnn23)nc1; [None]; [None]; [0]
-Brc1ccc(-c2cnc3cccnn23)o1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnc2cccnn12; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnc2cccnn12; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cnc4cccnn34)c2c1; [None]; [None]; [0]
-[O-]c1cccc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-c1cnn2c(-c3nncs3)cnc2c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12']; ['O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999999762]
-Cc1cc(-c2cnc3cccnn23)ccc1C(N)=O; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnc3cccnn23)c1C; [None]; [None]; [0]
-c1ccc2c(COc3cnc4cccnn34)cccc2c1; ['Brc1cnc2cccnn12']; ['OCc1cccc2ccccc12']; [0.996608377]
-c1ccc2c(CCc3cnc4cccnn34)c[nH]c2c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cnc3cccnn23)cc1; [None]; [None]; [0]
-Fc1ccc(COc2cnc3cccnn23)c(F)c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2cnc3cccnn23)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnc2cccnn12; [None]; [None]; [0]
-COC(C)(C)CCc1cnc2cccnn12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cnc3cccnn23)[nH]1; [None]; [None]; [0]
-Fc1ccc(CCc2cnc3cccnn23)c(F)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cnc2cccnn12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cnc2cccnn12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cnc2cccnn12; [None]; [None]; [0]
-Cc1cccc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cnc2cccnn12; [None]; [None]; [0]
-c1cnn2c(C3CCCCC3)cnc2c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cnc3cccnn23)cs1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cnc3cccnn23)CO1; [None]; [None]; [0]
-CC(C)C(=O)COc1cnc2cccnn12; [None]; [None]; [0]
-c1cnn2c(CC3CCCCC3)cnc2c1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cnc2cccnn12; [None]; [None]; [0]
-CNc1nc(C)c(-c2cnc3cccnn23)s1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cnc2cccnn12; [None]; [None]; [0]
-CCC(C)(C)c1cnc2cccnn12; [None]; [None]; [0]
-c1cnn2c(NCCc3c[nH]cn3)cnc2c1; ['Brc1cnc2cccnn12']; ['NCCc1c[nH]cn1']; [0.999972463]
-O=C([O-])Cc1cccc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-c1ccc(CCNc2cnc3cccnn23)cc1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc4cccnn34)ccc21; ['Brc1cnc2cccnn12']; ['Cn1ncc2cc(B(O)O)ccc21']; [1.0]
-CCCCc1cnc2cccnn12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cnc4cccnn34)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cnc4cccnn34)ccc12; [None]; [None]; [0]
-[NH3+]CCCc1cnc2cccnn12; [None]; [None]; [0]
-CCCn1cnc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cnc2cccnn12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cnc3cccnn23)C1; [None]; [None]; [0]
-CSc1nc(-c2cnc3cccnn23)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cnc2cccnn12; [None]; [None]; [0]
-c1cnn2c(-c3csc4ncncc34)cnc2c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cnc4cccnn34)cc2s1; [None]; [None]; [0]
-FC(F)(F)Oc1cnc2cccnn12; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cnc3cccnn23)CC1; ['Brc1cnc2cccnn12']; ['CS(=O)(=O)C1CCNCC1']; [0.999920249]
-Cn1cc(-c2cnc3cccnn23)c2ccccc21; [None]; [None]; [0]
-C[C@H](c1cnc2cccnn12)C(F)(F)F; [None]; [None]; [0]
-c1ccn2ncc(-c3cnc4cccnn34)c2c1; [None]; [None]; [0]
-O=c1cc(-c2cnc3cccnn23)cc[nH]1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnc2cccnn12; [None]; [None]; [0]
-O=c1cc(-c2cnc3cccnn23)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cnc3cccnn23)ccc1Cl; [None]; [None]; [0]
-COc1cc(CCc2cnc3cccnn23)cc(OC)c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cnc2cccnn12; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cnc3cccnn23)C1; [None]; [None]; [0]
-CC1(c2cnc3cccnn23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
-c1cnn2c(-c3ccc(N4CCOCC4)cc3)cnc2c1; ['Brc1ccc(N2CCOCC2)cc1']; ['c1cnn2ccnc2c1']; [0.999997139]
-Cc1cc(-c2cnc3cccnn23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-OCCc1cn(-c2cnc3cccnn23)cn1; [None]; [None]; [0]
-C[C@H](Nc1cnc2cccnn12)C(C)(C)C; [None]; [None]; [0]
-C[C@H](Nc1cnc2cccnn12)C(C)(C)O; [None]; [None]; [0]
-c1cnn2c(-c3nc[nH]n3)cnc2c1; [None]; [None]; [0]
-C[C@@H](Nc1cnc2cccnn12)C(C)(C)O; [None]; [None]; [0]
-c1cnn2c(-c3ccc(-n4cncn4)cc3)cnc2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cnc3cccnn23)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cnc2cccnn12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cnc2cccnn12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cnc2cccnn12; [None]; [None]; [0]
-Cn1cnnc1-c1cnc2cccnn12; [None]; [None]; [0]
-C[C@@H](Nc1cnc2cccnn12)C(C)(C)C; [None]; [None]; [0]
-c1cnn2c(-c3nncn3C3CC3)cnc2c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cnc2cccnn12; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cnc4cccnn34)nn2)cc1; [None]; [None]; [0]
-CCCCc1cc(-c2cnc3cccnn23)nc(N)n1; [None]; [None]; [0]
-O=C(CCc1cnc2cccnn12)NCc1ccccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3cccnn23)s1; [None]; [None]; [0]
-CCc1cc(-c2cnc3cccnn23)nc(N)n1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cnc2cccnn12; [None]; [None]; [0]
-c1cnn2c(-c3csc(N4CCOCC4)n3)cnc2c1; [None]; [None]; [0]
-c1cnn2c(CC3CCOCC3)cnc2c1; [None]; [None]; [0]
-c1ccc2nc(-c3cnc4cccnn34)ncc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cnc3cccnn23)[nH]1; [None]; [None]; [0]
-c1cnn2c(-c3ncc4cc[nH]c4n3)cnc2c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3cccnn23)c(=O)n1C; [None]; [None]; [0]
-c1cnn2c(-c3cnccc3N3CCOCC3)cnc2c1; [None]; [None]; [0]
-CN(C)c1cc(-c2cnc3cccnn23)cnn1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cnc3cccnn23)CC1; [None]; [None]; [0]
-O=c1c(-c2ccccc2)coc2cc(O)ccc12; ['CCOC=O', 'CS(=O)(=O)Cl']; ['O=C(Cc1ccccc1)c1ccc(O)cc1O', 'O=C(Cc1ccccc1)c1ccc(O)cc1O']; [0.999825895, 0.999825895]
-CS(=O)(=O)Nc1ccccc1Cc1cnc2cccnn12; [None]; [None]; [0]
-COC(C)(C)CCc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-CCOc1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c([C@@H]2C[C@H](O)C2)coc2cc(O)ccc12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2coc3cc(O)ccc3c2=O)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(Cc2cc(F)cc(F)c2)coc2cc(O)ccc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-c2ccnc3ccccc23)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(C2CCOCC2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cc[nH]n2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cccc(C(F)(F)F)c2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cccnc2)coc2cc(O)ccc12; [None]; [None]; [0]
-Cc1cccc(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
-O=c1c(-c2ccccc2F)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2ccccc2Cl)coc2cc(O)ccc12; ['CN(C)C=O', 'CCOC=O']; ['O=C(Cc1ccccc1Cl)c1ccc(O)cc1O', 'O=C(Cc1ccccc1Cl)c1ccc(O)cc1O']; [0.999423146, 0.999423146]
-O=c1c(-c2ccccc2Br)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2ccccc2OC(F)(F)F)coc2cc(O)ccc12; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-N#Cc1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-c2cnc(-c3ccccc3)[nH]2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cnn(Cc3ccccc3)c2)coc2cc(O)ccc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-c2ccncn2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2c(F)cccc2F)coc2cc(O)ccc12; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=C(Nc1cccc(-c2coc3cc(O)ccc3c2=O)c1)c1ccccc1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2coc3cc(O)ccc3c2=O)cs1; [None]; [None]; [0]
-O=c1c(-c2cnn(CCO)c2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2ccc3c(c2)CCC3)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c([C@@H]2CC[C@@H](CO)OC2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(C2CCCCC2)coc2cc(O)ccc12; [None]; [None]; [0]
-CC(C)C(=O)COc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(CC2CCCCC2)coc2cc(O)ccc12; [None]; [None]; [0]
-COc1cnc(-c2coc3cc(O)ccc3c2=O)nc1; [None]; [None]; [0]
-Cc1ccc(-c2coc3cc(O)ccc3c2=O)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-c2cnco2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cnc3ccccn23)coc2cc(O)ccc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2coc3cc(O)ccc3c2=O)s1; [None]; [None]; [0]
-Cc1nc(C)c(-c2coc3cc(O)ccc3c2=O)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-c2c(Cl)cccc2Cl)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cnc3cccnn23)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(OC2CCCCC2)coc2cc(O)ccc12; [None]; [None]; [0]
-CC(C)(C)Nc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-c2cccc(Cn3cncn3)c2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(NCc2cccnc2)coc2cc(O)ccc12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
-O=c1c(-c2cccc(Cl)c2Cl)coc2cc(O)ccc12; [None]; [None]; [0]
-CCC(C)(C)c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-Cc1ncc(-c2coc3cc(O)ccc3c2=O)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2coc3cc(O)ccc3c2=O)n1; [None]; [None]; [0]
-COc1cccc(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
-O=c1c(-c2ccc(Cl)s2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2ccc3ccccc3c2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(Nc2cccnc2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-n2cnc3ccccc32)coc2cc(O)ccc12; [None]; [None]; [0]
-C[C@H](CO)Nc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(NCCc2c[nH]cn2)coc2cc(O)ccc12; [None]; [None]; [0]
-CC(C)COc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=C(Nc1coc2cc(O)ccc2c1=O)c1cccs1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
-CCCCc1coc2cc(O)ccc2c1=O; ['CCCCCC(=O)c1ccc(O)cc1O']; ['CS(=O)(=O)Cl']; [0.998270035]
-O=c1c(-c2cncc3ccccc23)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(NCCc2ccccc2)coc2cc(O)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3coc4cc(O)ccc4c3=O)cc2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['O=c1c(-c2ccc(Br)cc2)coc2cc(O)ccc12']; [0.999923825]
-Nc1[nH]nc2cc(-c3coc4cc(O)ccc4c3=O)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-c3coc4cc(O)ccc4c3=O)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2coc3cc(O)ccc3c2=O)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-[NH3+]CCCc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-c2cccc(CO)c2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cccc(O)c2)coc2cc(O)ccc12; [None]; [None]; [0]
-Cn1cncc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(Nc2ccncc2)coc2cc(O)ccc12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2coc3cc(O)ccc3c2=O)C1; [None]; [None]; [0]
-Cn1cc(-c2coc3cc(O)ccc3c2=O)cn1; [None]; [None]; [0]
-O=c1c(-c2ccco2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cccs2)coc2cc(O)ccc12; [None]; [None]; [0]
-CC(C)c1oncc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-CSc1nc(-c2coc3cc(O)ccc3c2=O)c[nH]1; [None]; [None]; [0]
-CC(C)Nc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-N#CCCc1cccc(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
-O=c1c(-c2csc3ncncc23)coc2cc(O)ccc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3coc4cc(O)ccc4c3=O)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
-O=c1c(-c2ccc(F)cc2C(F)(F)F)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(OC(F)(F)F)coc2cc(O)ccc12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
-Cn1cc(-c2coc3cc(O)ccc3c2=O)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2coc3cc(O)ccc3c2=O)CC1; [None]; [None]; [0]
-CCC(=O)Nc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-C[C@H](c1coc2cc(O)ccc2c1=O)C(F)(F)F; [None]; [None]; [0]
-Cc1cc(-c2coc3cc(O)ccc3c2=O)no1; [None]; [None]; [0]
-COc1ccc(-c2coc3cc(O)ccc3c2=O)cc1Cl; [None]; [None]; [0]
-O=c1c(-c2cnn3ccccc23)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1cc(-c2coc3cc(O)ccc3c2=O)cc[nH]1; [None]; [None]; [0]
-CCCn1cc(-c2coc3cc(O)ccc3c2=O)cn1; [None]; [None]; [0]
-O=c1c(-c2cnoc2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2ccn([C@@H2]CO)c(=O)c2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=C1CCc2cccc(-c3coc4cc(O)ccc4c3=O)c21; [None]; [None]; [0]
-COc1cc(CCc2coc3cc(O)ccc3c2=O)cc(OC)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2coc3cc(O)ccc3c2=O)ccc1Cl; [None]; [None]; [0]
-CCOC(=O)Cc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
-CCN(CC)c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3coc4cc(O)ccc4c3=O)cc12; [None]; [None]; [0]
-O=c1c(Nc2cnc3ccccc3c2)coc2cc(O)ccc12; [None]; [None]; [0]
-COc1ccncc1Nc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-c2c[nH]c3ccccc23)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2c[nH]c3cnccc23)coc2cc(O)ccc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c([C@H](CO)Cc2ccccc2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cnc3[nH]ccc3c2)coc2cc(O)ccc12; [None]; [None]; [0]
-CC1(c2coc3cc(O)ccc3c2=O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2coc3cc(O)ccc3c2=O)C1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2coc3cc(O)ccc3c2=O)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2coc3cc(O)ccc3c2=O)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2coc3cc(O)ccc3c2=O)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2coc3cc(O)ccc3c2=O)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
-Cc1cc(-c2coc3cc(O)ccc3c2=O)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-O=c1c(-c2ccc(N3CCOCC3)cc2)coc2cc(O)ccc12; ['C1COCCN1']; ['O=c1c(-c2ccc(Br)cc2)coc2cc(O)ccc12']; [0.997974]
-O=c1c(-n2ccc(CO)n2)coc2cc(O)ccc12; [None]; [None]; [0]
-C[C@H](Nc1coc2cc(O)ccc2c1=O)C(C)(C)C; [None]; [None]; [0]
-O=c1c(-n2cnc(CCO)c2)coc2cc(O)ccc12; [None]; [None]; [0]
-C[C@H](Nc1coc2cc(O)ccc2c1=O)C(C)(C)O; [None]; [None]; [0]
-O=c1c(-n2ncc3ccccc32)coc2cc(O)ccc12; [None]; [None]; [0]
-C[C@@H](Nc1coc2cc(O)ccc2c1=O)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-n2ncc3c(O)cccc32)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2nc[nH]n2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cccnc2O)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2nc3ccc(O)cc3[nH]2)coc2cc(O)ccc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2coc3cc(O)ccc3c2=O)[nH]1; [None]; [None]; [0]
-O=c1c(-c2ccc(-n3cncn3)cc2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(Cc2ccncc2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
-COc1ccc(-c2coc3cc(O)ccc3c2=O)c(OC)c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-Cn1cnnc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-CC(C)n1cnnc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-CC(C)([NH3+])CNc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-c2nncn2C2CC2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(OC2CCOCC2)coc2cc(O)ccc12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-O=c1c(-n2ccnc2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=C(CCc1coc2cc(O)ccc2c1=O)NCc1ccccn1; [None]; [None]; [0]
-O=c1c(-c2cn(Cc3ccccc3)nn2)coc2cc(O)ccc12; [None]; [None]; [0]
-C[C@@H](Nc1coc2cc(O)ccc2c1=O)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2coc3cc(O)ccc3c2=O)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2coc3cc(O)ccc3c2=O)s1; [None]; [None]; [0]
-Nc1nnc(-c2coc3cc(O)ccc3c2=O)s1; [None]; [None]; [0]
-CCCCc1cc(-c2coc3cc(O)ccc3c2=O)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2coc3cc(O)ccc3c2=O)s1; [None]; [None]; [0]
-O=c1c(-c2csc(N3CCOCC3)n2)coc2cc(O)ccc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-Cc1cncc(-c2coc3cc(O)ccc3c2=O)n1; [None]; [None]; [0]
-O=c1c(-c2nc3ccccc3s2)coc2cc(O)ccc12; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2coc3cc(O)ccc3c2=O)[nH]1; [None]; [None]; [0]
-O=c1c(-c2cccc3ccsc23)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(CC2CCOCC2)coc2cc(O)ccc12; [None]; [None]; [0]
-Cn1cc(-c2coc3cc(O)ccc3c2=O)c(=O)n1C; [None]; [None]; [0]
-O=c1c(-c2ncc3ccccc3n2)coc2cc(O)ccc12; [None]; [None]; [0]
-Nc1nc(-c2coc3cc(O)ccc3c2=O)nc2ccccc12; [None]; [None]; [0]
-O=c1c(-c2ncc3cc[nH]c3n2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2c[nH]c3cccnc23)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(-c2cnccc2N2CCOCC2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(Cc2cccnc2)coc2cc(O)ccc12; [None]; [None]; [0]
-O=c1c(O[C@@H]2CC[C@H](O)CC2)coc2cc(O)ccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-CC(C)(C)CNc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-CC(C)(C)Oc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-COc1ccc(OC)c(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
-Cc1cc(C)cc(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
-O=c1c(N2CCC(c3nc4ccccc4[nH]3)CC2)coc2cc(O)ccc12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2coc3cc(O)ccc3c2=O)CC1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cccc(Cl)c1; ['Cc1cc(F)ccc1I']; ['Clc1cccc(I)c1']; [0.965877771]
-O=c1c(N2CC=C(c3c[nH]c4ccccc34)CC2)coc2cc(O)ccc12; [None]; [None]; [0]
-Cn1c(-c2cccc(Cl)c2)nc2ccccc21; ['Clc1cccc(Cl)c1']; ['Cn1cnc2ccccc21']; [0.915369868]
-CN(C)c1cc(-c2coc3cc(O)ccc3c2=O)cnn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(Cl)c2)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; ['Clc1cccc(Br)c1']; [0.999993205]
-Clc1cccc(-c2ccccc2)c1; ['Nc1cccc(Cl)c1']; ['c1ccccc1']; [0.955366313]
-Clc1cccc(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
-Cc1ccccc1-c1cccc(Cl)c1; ['Cc1ccccc1Cl', 'Cc1ccccc1B(O)O', 'Cc1ccccc1[Mg]Br', 'Cc1ccccc1Br']; ['OB(O)c1cccc(Cl)c1', 'Clc1cccc(Cl)c1', 'Clc1cccc(Br)c1', 'Clc1cccc([Mg]Br)c1']; [0.999216557, 0.999216557, 0.999216557, 0.999216557]
-O=C([O-])c1ccc(-c2cccc(Cl)c2)cc1; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C']; ['O=C([O-])c1ccccc1']; [0.814149857]
-O=C([O-])Cc1ccn(-c2cccc(Cl)c2)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cccc(Cl)c1; ['Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B(O)O']; ['OB(O)c1cccc(Cl)c1', 'Clc1cccc(Br)c1']; [0.999935031, 0.999935031]
-Clc1ccc(CCc2cccc(Cl)c2)cc1; ['Clc1ccc(CCBr)cc1', 'Cc1cccc(Cl)c1', 'Clc1ccc(Br)cc1']; ['Clc1cccc(Br)c1', 'Clc1ccc(CBr)cc1', 'Clc1cccc(CCBr)c1']; [0.972936511, 0.972936511, 0.972936511]
-COCCCc1cccc(Cl)c1; ['COCCCBr']; ['Clc1cccc(Br)c1']; [0.996543109]
-Clc1cccc(-c2c(Cl)ccc3c2OCO3)c1; [None]; [None]; [0]
-Cc1nnc(-c2cccc(Cl)c2)o1; ['CC(=O)NN']; ['O=C(O)c1cccc(Cl)c1']; [0.999194562]
-NC(=O)c1cc(-c2cccc(Cl)c2)c[nH]1; [None]; [None]; [0]
-Clc1cccc(-c2nnco2)c1; ['COC(OC)OC']; ['NNC(=O)c1cccc(Cl)c1']; [0.999995]
-CNC(=O)c1cccc2cc(-c3cccc(Cl)c3)ccc12; [None]; [None]; [0]
-Clc1cccc(C2CCOCC2)c1; ['Clc1cccc(Br)c1', 'Clc1cccc([Mg]Br)c1']; ['O=C1CCOCC1', 'IC1CCOCC1']; [0.993019402, 0.993019402]
-Clc1cccc(-c2cnc3[nH]ccc3c2)c1; ['Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C', 'OB(O)c1cccc(Cl)c1', 'Clc1cccc(Br)c1']; [0.999999166, 0.999999166, 0.999999166]
-CNc1nccc(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Fc1cnc(-c2cccc(Cl)c2)nc1; ['CC1(C)OB(c2cccc(Cl)c2)OC1(C)C']; ['Fc1cnc(Cl)nc1']; [0.999921322]
-CN(c1cccc(Cl)c1)c1cccc(Cl)c1; ['CNc1cccc(Cl)c1']; ['Clc1cccc(I)c1']; [0.963636637]
-Clc1cccc(-c2ccc(Br)o2)c1; ['Brc1ccc(Br)o1', 'Brc1ccco1', 'Brc1ccc(Br)o1']; ['OB(O)c1cccc(Cl)c1', 'Nc1cccc(Cl)c1', 'Clc1cccc(Br)c1']; [0.997734308, 0.997734308, 0.997734308]
-CCc1cc(O)c(F)cc1-c1cccc(Cl)c1; [None]; [None]; [0]
-Clc1cccc(-c2nncs2)c1; [None]; [None]; [0]
-Nc1cc(-c2cccc(Cl)c2)n[nH]1; ['Nc1cc(Br)n[nH]1']; ['OB(O)c1cccc(Cl)c1']; [0.999974132]
-[O-]c1cccc(-c2cccc(Cl)c2)c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cccc(Cl)c2)cc1; ['O=C(NC1CC1)c1ccc(I)cc1', 'Clc1cccc(Br)c1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'Clc1cccc(I)c1']; ['OB(O)c1cccc(Cl)c1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'OB(O)c1cccc(Cl)c1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999997377, 0.999997377, 0.999997377, 0.999997377]
-Cc1n[nH]c(-c2cccc(Cl)c2)c1C; [None]; [None]; [0]
-Clc1cccc(CCc2c[nH]c3ccccc23)c1; ['OCCc1cccc(Cl)c1']; ['c1ccc2[nH]ccc2c1']; [0.971540153]
-Fc1ccc2n[nH]c(-c3cccc(Cl)c3)c2c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cccc(Cl)c2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cccc(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
-Clc1cccc(OCc2cccc3ccccc23)c1; ['BrCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; ['Oc1cccc(Cl)c1', 'Oc1cccc(Cl)c1']; [0.999896526, 0.999896526]
-Clc1ccc(-c2[nH]ncc2-c2cccc(Cl)c2)cc1; ['Clc1ccc(-c2ccn[nH]2)cc1']; ['Clc1cccc(Br)c1']; [0.900444031]
-Cc1onc(-c2ccccc2)c1-c1cccc(Cl)c1; [None]; [None]; [0]
-Fc1ccc(COc2cccc(Cl)c2)c(F)c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccccc3)nc2c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Fc1ccc(CCc2cccc(Cl)c2)c(F)c1; [None]; [None]; [0]
-COC(C)(C)CCc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc([C@@H]3C[C@H](O)C3)nc2c1; [None]; [None]; [0]
-CCOc1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2nc3cc(O)ccc3s2)[nH]1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccnc4ccccc34)nc2c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(Cc3cc(F)cc(F)c3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cc[nH]n3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(C3CCOCC3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cccnc3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cccc(C(F)(F)F)c3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccccc3F)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccccc3Br)nc2c1; [None]; [None]; [0]
-Cc1cccc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccccc3Cl)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccccc3OC(F)(F)F)nc2c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3c(F)cccc3F)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cnn(Cc4ccccc4)c3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccncn3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cnc(-c4ccccc4)[nH]3)nc2c1; [None]; [None]; [0]
-OCCn1cc(-c2nc3cc(O)ccc3s2)cn1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nc3cc(O)ccc3s2)c1)c1ccccc1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2nc3cc(O)ccc3s2)cs1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2nc3cc(O)ccc3s2)CO1; [None]; [None]; [0]
-COc1cnc(-c2nc3cc(O)ccc3s2)nc1; [None]; [None]; [0]
-Oc1ccc2sc(C3CCCCC3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccc4c(c3)CCC4)nc2c1; [None]; [None]; [0]
-CC(C)C(=O)COc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(CC3CCCCC3)nc2c1; [None]; [None]; [0]
-Cc1ccc(-c2nc3cc(O)ccc3s2)c(Br)c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cnco3)nc2c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cnc4ccccn34)nc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2nc3cc(O)ccc3s2)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-CC(C)(C)Nc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2nc3cc(O)ccc3s2)s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cccc(Cn4cncn4)c3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3c(Cl)cccc3Cl)nc2c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cccc(Cl)c3Cl)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(OC3CCCCC3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(NCc3cccnc3)nc2c1; [None]; [None]; [0]
-CCC(C)(C)c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Cc1ncc(-c2nc3cc(O)ccc3s2)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
-Nc1nccc(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccc(Cl)s3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(Nc3cccnc3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccc4ccccc4c3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-n3cnc4ccccc43)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(NCCc3c[nH]cn3)nc2c1; [None]; [None]; [0]
-CC(C)COc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-O=C(Nc1nc2cc(O)ccc2s1)c1cccs1; [None]; [None]; [0]
-C[C@H](CO)Nc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cncc4ccccc34)nc2c1; [None]; [None]; [0]
-CCCCc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3nc4cc(O)ccc4s3)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3nc4cc(O)ccc4s3)ccc21; [None]; [None]; [0]
-Oc1ccc2sc(NCCc3ccccc3)nc2c1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3nc4cc(O)ccc4s3)ccc12; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1cccc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
-CCCn1cnc(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2nc3cc(O)ccc3s2)C1; [None]; [None]; [0]
-[NH3+]CCCc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-OCc1cccc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
-Oc1ccc2sc(Nc3ccncc3)nc2c1; [None]; [None]; [0]
-Cn1cncc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cccs3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccco3)nc2c1; [None]; [None]; [0]
-CSc1nc(-c2nc3cc(O)ccc3s2)c[nH]1; [None]; [None]; [0]
-Cn1cc(-c2nc3cc(O)ccc3s2)cn1; [None]; [None]; [0]
-CC(C)c1oncc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-CC(C)Nc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3csc4ncncc34)nc2c1; [None]; [None]; [0]
-N#CCCc1cccc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3nc4cc(O)ccc4s3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccc(F)cc3C(F)(F)F)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(OC(F)(F)F)nc2c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
-Cn1cc(-c2nc3cc(O)ccc3s2)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2nc3cc(O)ccc3s2)CC1; [None]; [None]; [0]
-C[C@H](c1nc2cc(O)ccc2s1)C(F)(F)F; [None]; [None]; [0]
-CCC(=O)Nc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-COc1ccc(-c2nc3cc(O)ccc3s2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2nc3cc(O)ccc3s2)no1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cnn4ccccc34)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cnoc3)nc2c1; [None]; [None]; [0]
-O=c1cc(-c2nc3cc(O)ccc3s2)cc[nH]1; [None]; [None]; [0]
-O=c1cc(-c2nc3cc(O)ccc3s2)ccn1[C@@H2]CO; [None]; [None]; [0]
-CCCn1cc(-c2nc3cc(O)ccc3s2)cn1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3nc4cc(O)ccc4s3)c21; [None]; [None]; [0]
-COc1cc(CCc2nc3cc(O)ccc3s2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2nc3cc(O)ccc3s2)ccc1Cl; [None]; [None]; [0]
-CCOC(=O)Cc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3nc4cc(O)ccc4s3)cc12; [None]; [None]; [0]
-CCN(CC)c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3c[nH]c4ccccc34)nc2c1; [None]; [None]; [0]
-COc1ccncc1Nc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3c[nH]c4cnccc34)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(Nc3cnc4ccccc4c3)nc2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cnc4[nH]ccc4c3)nc2c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2nc3cc(O)ccc3s2)C1; [None]; [None]; [0]
-CC1(c2nc3cc(O)ccc3s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2nc3cc(O)ccc3s2)C1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2nc3cc(O)ccc3s2)CC1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2nc3cc(O)ccc3s2)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2nc3cc(O)ccc3s2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccc(N4CCOCC4)cc3)nc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
-Cc1cc(-c2nc3cc(O)ccc3s2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
-C[C@H](Nc1nc2cc(O)ccc2s1)C(C)(C)C; [None]; [None]; [0]
-OCCc1cn(-c2nc3cc(O)ccc3s2)cn1; [None]; [None]; [0]
-C[C@H](Nc1nc2cc(O)ccc2s1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1nc2cc(O)ccc2s1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-n3ncc4ccccc43)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-n3ncc4c(O)cccc43)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3nc[nH]n3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cccnc3O)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ccc(-n4cncn4)cc3)nc2c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-CSc1nc(C)c(-c2nc3cc(O)ccc3s2)[nH]1; [None]; [None]; [0]
-Oc1ccc2sc(-c3nc4ccc(O)cc4[nH]3)nc2c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-COc1ccc(-c2nc3cc(O)ccc3s2)c(OC)c1; [None]; [None]; [0]
-Oc1ccc2sc(Cc3ccncc3)nc2c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
-O=C(CCc1nc2cc(O)ccc2s1)NCc1ccccn1; [None]; [None]; [0]
-Oc1ccc2sc(-c3nncn3C3CC3)nc2c1; [None]; [None]; [0]
-Cn1cnnc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(OC3CCOCC3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-n3ccnc3)nc2c1; [None]; [None]; [0]
-C[C@@H](Nc1nc2cc(O)ccc2s1)C(C)(C)C; [None]; [None]; [0]
-CCCCc1cc(-c2nc3cc(O)ccc3s2)nc(N)n1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cn(Cc4ccccc4)nn3)nc2c1; [None]; [None]; [0]
-CCc1cc(-c2nc3cc(O)ccc3s2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2nc3cc(O)ccc3s2)s1; [None]; [None]; [0]
-Nc1nnc(-c2nc3cc(O)ccc3s2)s1; [None]; [None]; [0]
-Cc1cncc(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3cc(O)ccc3s2)s1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(-c3csc(N4CCOCC4)n3)nc2c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(CC3CCOCC3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cccc4ccsc34)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3nc4ccccc4s3)nc2c1; [None]; [None]; [0]
-Nc1nc(-c2nc3cc(O)ccc3s2)nc2ccccc12; [None]; [None]; [0]
-Oc1ccc2sc(-c3ncc4ccccc4n3)nc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2nc3cc(O)ccc3s2)[nH]1; [None]; [None]; [0]
-Oc1ccc2sc(-c3c[nH]c4cccnc34)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3cnccc3N3CCOCC3)nc2c1; [None]; [None]; [0]
-Cn1cc(-c2nc3cc(O)ccc3s2)c(=O)n1C; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(O[C@@H]3CC[C@H](O)CC3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(-c3ncc4cc[nH]c4n3)nc2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-CC(C)(C)Oc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Oc1ccc2sc(Cc3cccnc3)nc2c1; [None]; [None]; [0]
-CC(C)(C)CNc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2nc3cc(O)ccc3s2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
-CN(C)c1cc(-c2nc3cc(O)ccc3s2)cnn1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccccc3)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1']; ['O=Cc1ccccc1', 'NCc1ccccc1']; [0.999993205, 0.999993205]
-Cc1cc(C)cc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
-Oc1ccc2sc(N3CCC(c4nc5ccccc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
-Oc1ccc2sc(N3CC=C(c4c[nH]c5ccccc45)CC3)nc2c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1nc2cc(OC)ccc2s1; [None]; [None]; [0]
-COc1ccc2sc(CCC(C)(C)OC)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@@H]3C[C@H](O)C3)nc2c1; [None]; [None]; [0]
-CCOc1ccccc1-c1nc2cc(OC)ccc2s1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccccc3S(=O)(=O)C(C)C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@H](C)c3cc(F)ccc3OC)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccccc3-c3nnc(C)[nH]3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccnc4ccccc34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccccc3P(C)(C)=O)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Cc3cc(F)cc(F)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc(C(F)(F)F)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cc[nH]n3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc(C)c3)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1']; ['Cc1cccc(C=O)c1', 'Cc1cccc(CN)c1']; [0.999998569, 0.999998569]
-COc1ccc2sc(-c3ccccc3F)nc2c1; ['COc1ccc(Cl)c([N+](=O)[O-])c1']; ['NCc1ccccc1F']; [0.999918222]
-COc1ccc2sc(C3CCOCC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccccc3Br)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1']; ['O=Cc1ccccc1Br', 'NCc1ccccc1Br']; [0.999993443, 0.999993443]
-COc1ccc2sc(-c3cccnc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccccc3C#N)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccccc3Cl)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccccc3OC(F)(F)F)nc2c1; ['COc1ccc(Cl)c([N+](=O)[O-])c1']; ['NCc1ccccc1OC(F)(F)F']; [0.998941243]
-COc1ccc2sc(-c3ccccc3C(=O)[O-])nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccccc3C(N)=O)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnn(Cc4ccccc4)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3c(F)cccc3F)nc2c1; ['COc1ccc(Cl)c([N+](=O)[O-])c1']; ['NCc1c(F)cccc1F']; [0.999848843]
-COc1ccc2sc(-c3cnc(-c4ccccc4)[nH]3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@@H](N)c3ccco3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnn(CCO)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccncn3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc(NC(=O)c4ccccc4)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3csc(C(C)(C)C)n3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(C3CCCCC3)nc2c1; [None]; [None]; [0]
-COc1cnc(-c2nc3cc(OC)ccc3s2)nc1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc4c(c3)CCC4)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc(C)cc3Br)nc2c1; ['COc1ccc(I)c(N)c1']; ['Cc1ccc(C=O)c(Br)c1']; [0.999971747]
-COc1ccc2sc([C@@H]3CC[C@@H](CO)OC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(OCC(=O)C(C)C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(CC3CCCCC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3c(C)nc4ccccn34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnco3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnc4ccccn34)nc2c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2nc3cc(OC)ccc3s2)s1; [None]; [None]; [0]
-COc1ccc2sc(-c3c(Cl)cccc3Cl)nc2c1; ['COc1ccc(I)c(N)c1']; ['O=Cc1c(Cl)cccc1Cl']; [0.999999285]
-COc1ccc2sc(-c3sc(C)nc3C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3sc(N)nc3C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(OC3CCCCC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(NC(C)(C)C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc(Cn4cncn4)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc(Cl)c3Cl)nc2c1; ['COc1ccc(Cl)c([N+](=O)[O-])c1']; ['NCc1cccc(Cl)c1Cl']; [0.999964833]
-COc1ccc2sc(-c3cc(C)ccc3Cl)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(NCc3cccnc3)nc2c1; ['COc1ccc2sc(N)nc2c1', 'COc1ccc2sc(N)nc2c1']; ['OCc1cccnc1', 'O=Cc1cccnc1']; [0.999465883, 0.999465883]
-COc1ccc2sc(-c3ccnc(N)n3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnc(C)[nH]3)nc2c1; [None]; [None]; [0]
-CCC(C)(C)c1nc2cc(OC)ccc2s1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc4ccccc4c3)nc2c1; ['COc1ccc(I)c(N)c1']; ['O=Cc1ccc2ccccc2c1']; [0.999997377]
-COc1ccc2sc(N[C@H](C)CO)nc2c1; [None]; [None]; [0]
-COc1cccc(-c2nc3cc(OC)ccc3s2)c1; ['COc1ccc(Cl)c([N+](=O)[O-])c1']; ['COc1cccc(CN)c1']; [0.999966741]
-COc1ccc2sc(-c3ccc(Cl)s3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Nc3cccnc3)nc2c1; ['COc1ccc(I)c(N)c1']; ['S=C=Nc1cccnc1']; [0.999980569]
-COc1ccc2sc(-n3cnc4ccccc43)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(OCC(C)C)nc2c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1nc2cc(OC)ccc2s1; [None]; [None]; [0]
-COc1ccc2sc(NCCc3c[nH]cn3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(NC(=O)c3cccs3)nc2c1; ['COc1ccc2sc(N)nc2c1']; ['O=C(Cl)c1cccs1']; [0.999984]
-COc1ccc2sc(O[C@H](C)[C@@H](C)O)nc2c1; [None]; [None]; [0]
-CCCCc1nc2cc(OC)ccc2s1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc(CC(=O)[O-])c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cncc4ccccc34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(NCCc3ccccc3)nc2c1; ['COc1ccc2sc(N)nc2c1']; ['OCCc1ccccc1']; [0.920182049]
-COc1ccc2sc(-c3ccc(-c4cnn(C)c4)cc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc4c(N)[nH]nc4c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc4c(cnn4C)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(O[C@@H](C)C[NH+](C)C)nc2c1; [None]; [None]; [0]
-CCCn1cnc(-c2nc3cc(OC)ccc3s2)n1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc(CO)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc(O)c3)nc2c1; ['COc1ccc(I)c(N)c1']; ['O=Cc1cccc(O)c1']; [0.999999642]
-COc1ccc2sc(CCC[NH3+])nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Nc3ccncc3)nc2c1; ['Brc1ccncc1', 'COc1ccc2sc(N)nc2c1']; ['COc1ccc2sc(N)nc2c1', 'Clc1ccncc1']; [0.99956733, 0.99956733]
-COc1ccc2sc(-c3cncn3C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@@H]3CCC[C@H]([NH3+])C3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccco3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnn(C)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccs3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnoc3C(C)C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(NC(C)C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3c[nH]c(SC)n3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc(CCC#N)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3csc4ncncc34)nc2c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3nc4cc(OC)ccc4s3)cc2s1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc(F)cc3C(F)(F)F)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(OC(F)(F)F)nc2c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2nc3cc(OC)ccc3s2)cc1; [None]; [None]; [0]
-COc1ccc2sc(N3CCC(S(C)(=O)=O)CC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cn(C)c4ccccc34)nc2c1; [None]; [None]; [0]
-CCC(=O)Nc1nc2cc(OC)ccc2s1; ['CCC(=O)Cl']; ['COc1ccc2sc(N)nc2c1']; [0.999961495]
-COc1ccc2sc(-c3cccc(NC(C)=O)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc(OC)c(Cl)c3)nc2c1; ['COc1ccc(C=O)cc1Cl', 'COc1ccc(CN)cc1Cl']; ['COc1ccc(I)c(N)c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1']; [0.999999881, 0.999999881]
-COc1ccc2sc(-c3cc(C)on3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@@H](C)C(F)(F)F)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnoc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cc[nH]c(=O)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnn4ccccc34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccn([C@@H2]CO)c(=O)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(NC(=O)NC(C)(C)C)nc2c1; ['CC(C)(C)N=C=O']; ['COc1ccc2sc(N)nc2c1']; [0.999981523]
-CCCn1cc(-c2nc3cc(OC)ccc3s2)cn1; [None]; [None]; [0]
-COc1cc(CCc2nc3cc(OC)ccc3s2)cc(OC)c1; [None]; [None]; [0]
-CCOC(=O)Cc1nc2cc(OC)ccc2s1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc4c3C(=O)CC4)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc(Cl)c(C(=O)[O-])c3)nc2c1; [None]; [None]; [0]
-CCN(CC)c1nc2cc(OC)ccc2s1; []; []; []
-COc1ccc2sc(-c3ccc(C(C)(C)N)cc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Nc3cnccc3OC)nc2c1; ['COc1ccc2sc(N)nc2c1']; ['COc1ccncc1Br']; [0.999983788]
-COc1ccc2sc(-c3cc4c(=O)[nH]ccc4o3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Nc3cnc4ccccc4c3)nc2c1; ['Brc1cnc2ccccc2c1']; ['COc1ccc2sc(N)nc2c1']; [0.9967103]
-COc1ccc2sc(-c3ccc([S@](C)=O)cc3)nc2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1nc2cc(OC)ccc2s1; [None]; [None]; [0]
-COc1ccc2sc(-c3c[nH]c4ccccc34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@H](CO)Cc3ccccc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3c[nH]c4cnccc34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(C3(C)CCN(S(C)(=O)=O)CC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@@H]3CC[C@@H](NC(=O)O)C3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@@H]3CC[C@@H](C#N)CC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnc4[nH]ccc4c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@@H]3CC[C@@H](CC#N)CC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@H]3COCC[C@@H]3C#N)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@@H]3CCCN(C(=O)CC#N)C3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc(N4CCOCC4)cc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc(S(C)(=O)=O)cc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@@H]3CC[C@@H](CCC#N)CC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-n3cnc(CCO)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-n3ccc(CO)n3)nc2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc3cc(OC)ccc3s2)cc1; [None]; [None]; [0]
-COc1ccc2sc(N[C@@H](C)C(C)(C)O)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(N[C@H](C)C(C)(C)O)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cc(C)nn3-c3cccc(Cl)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-n3ncc4ccccc43)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(N[C@@H](C)C(C)(C)C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-n3ncc4c(O)cccc43)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccnc3O)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc(-n4cncn4)cc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc(F)c3C(N)=O)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3[nH]c(SC)nc3C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3[nH]cnc3C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3nc[nH]n3)nc2c1; [None]; [None]; [0]
-COc1ccc(-c2nc3cc(OC)ccc3s2)c(OC)c1; ['COc1ccc(C=O)c(OC)c1']; ['COc1ccc(I)c([N+](=O)[O-])c1']; [0.999986887]
-COc1ccc2sc(NCC(C)(C)[NH3+])nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3nc4ccc(O)cc4[nH]3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3nncn3C(C)C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Cc3ccncc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3nncn3[C@H](C)CO)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc(C(=O)c4ccccc4)cc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3nncn3C3CC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(CCC(=O)NCc3ccccn3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-n3ccnc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3nncn3C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(N[C@H](C)C(C)(C)C)nc2c1; [None]; [None]; [0]
-CCc1cc(-c2nc3cc(OC)ccc3s2)nc(N)n1; [None]; [None]; [0]
-COc1ccc2sc(OC3CCOCC3)nc2c1; [None]; [None]; [0]
-CCCCc1cc(-c2nc3cc(OC)ccc3s2)nc(N)n1; [None]; [None]; [0]
-COc1ccc2sc(-c3nnc(N)s3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cncc(C)n3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cn(Cc4ccccc4)nn3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3csc(N4CCOCC4)n3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc([C@H]3CCCN3C(N)=O)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnc(N)s3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3nc4ccccc4s3)nc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3cc(OC)ccc3s2)s1; [None]; [None]; [0]
-COc1ccc2sc(CC3CCOCC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3c(F)cccc3OC)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnc(NC(C)=O)[nH]3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3nc(N)c4ccccc4n3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc4ccsc34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnccc3N3CCOCC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cn(C)n(C)c3=O)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ncc4cc[nH]c4n3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ncc4ccccc4n3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cc(C#N)ccc3OC)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3c[nH]c4cccnc34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Cc3ccccc3NS(C)(=O)=O)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Cc3cccnc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(NCC(C)(C)C)nc2c1; ['CC(C)(C)CO']; ['COc1ccc2sc(N)nc2c1']; [0.947709262]
-COc1ccc2sc(O[C@@H]3CC[C@H](O)CC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cc(C)cc(C)c3)nc2c1; ['COc1ccc(Cl)c([N+](=O)[O-])c1']; ['Cc1cc(C)cc(CN)c1']; [0.999800742]
-COc1ccc2sc([C@H]3CC[C@@](C)(O)CC3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(OC(C)(C)C)nc2c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2nc3cc(OC)ccc3s2)c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnnc(N(C)C)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(N3CC=C(c4c[nH]c5ccccc45)CC3)nc2c1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3ccccc3)nc2c1; ['Nc1cc(F)ccc1I', 'Ic1ccccc1']; ['S=C=Nc1ccccc1', 'Nc1nc2cc(F)ccc2s1']; [0.999964476, 0.999964476]
-COc1ccc2sc(N3CCC(c4nc5ccccc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2Nc2nc3cc(F)ccc3s2)[nH]1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-Cc1cccc(Nc2nc3cc(F)ccc3s2)c1; ['Cc1cccc(Br)c1']; ['Nc1nc2cc(F)ccc2s1']; [0.999192774]
-Fc1ccc2sc(NC3CCCCC3)nc2c1; ['Nc1cc(F)ccc1I']; ['S=C=NC1CCCCC1']; [0.999985814]
-Fc1ccc2sc(NC3CCOCC3)nc2c1; [None]; [None]; [0]
-O=C([O-])c1ccccc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-CC(C)(C)c1nc(Nc2nc3cc(F)ccc3s2)cs1; [None]; [None]; [0]
-COc1cnc(Nc2nc3cc(F)ccc3s2)nc1; ['COc1cnc(Cl)nc1']; ['Nc1nc2cc(F)ccc2s1']; [0.999896407]
-OC[C@@H]1CC[C@@H](Nc2nc3cc(F)ccc3s2)CO1; [None]; [None]; [0]
-Cc1nc2ccccn2c1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cccc(Cn4cncn4)c3)nc2c1; [None]; [None]; [0]
-CNc1nc(C)c(Nc2nc3cc(F)ccc3s2)s1; [None]; [None]; [0]
-C[C@@H](Nc1nc2cc(F)ccc2s1)[C@@H](C)O; [None]; [None]; [0]
-Cn1cc(-c2ccc(Nc3nc4cc(F)ccc4s3)cc2)cn1; [None]; [None]; [0]
-CCCn1cnc(Nc2nc3cc(F)ccc3s2)n1; [None]; [None]; [0]
-Nc1[nH]nc2cc(Nc3nc4cc(F)ccc4s3)ccc12; [None]; [None]; [0]
-O=C([O-])Cc1cccc(Nc2nc3cc(F)ccc3s2)c1; [None]; [None]; [0]
-Cn1ncc2cc(Nc3nc4cc(F)ccc4s3)ccc21; ['Cn1ncc2cc(N)ccc21']; ['Nc1nc2cc(F)ccc2s1']; [0.999910831]
-CC(C)c1oncc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](Nc2nc3cc(F)ccc3s2)C1; [None]; [None]; [0]
-CSc1nc(Nc2nc3cc(F)ccc3s2)c[nH]1; [None]; [None]; [0]
-Cn1cc(Nc2nc3cc(F)ccc3s2)c2ccccc21; [None]; [None]; [0]
-Fc1ccc2sc(Nc3csc4ncncc34)nc2c1; [None]; [None]; [0]
-CCNc1nc2ccc(Nc3nc4cc(F)ccc4s3)cc2s1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cnn4ccccc34)nc2c1; [None]; [None]; [0]
-O=c1cc(Nc2nc3cc(F)ccc3s2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(Nc2nc3cc(F)ccc3s2)cc[nH]1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cnc4[nH]ccc4c3)nc2c1; [None]; [None]; [0]
-O=C([O-])c1cc(Nc2nc3cc(F)ccc3s2)ccc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](Nc2nc3cc(F)ccc3s2)CC1; [None]; [None]; [0]
-CC1(Nc2nc3cc(F)ccc3s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](Nc2nc3cc(F)ccc3s2)C1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3nc[nH]n3)nc2c1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3ccc(N4CCOCC4)cc3)nc2c1; ['Ic1ccc(N2CCOCC2)cc1']; ['Nc1nc2cc(F)ccc2s1']; [0.999958634]
-C[C@@H](O)[C@@H](CO)Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3ccc(-n4cncn4)cc3)nc2c1; [None]; [None]; [0]
-Cc1nc[nH]c1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-CSc1nc(C)c(Nc2nc3cc(F)ccc3s2)[nH]1; [None]; [None]; [0]
-Fc1ccc2sc(NCC[NH+]3CCNCC3)nc2c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cn(Cc4ccccc4)nn3)nc2c1; [None]; [None]; [0]
-Cn1cnnc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-CC(C)n1cnnc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-CCc1cc(Nc2nc3cc(F)ccc3s2)nc(N)n1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3nncn3C3CC3)nc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2nc3cc(F)ccc3s2)s1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3csc(N4CCOCC4)n3)nc2c1; [None]; [None]; [0]
-CCCCc1cc(Nc2nc3cc(F)ccc3s2)nc(N)n1; [None]; [None]; [0]
-O=C(NCCCNc1nc2cc(F)ccc2s1)c1cccs1; [None]; [None]; [0]
-[NH3+]CCCCNc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(Nc2nc3cc(F)ccc3s2)[nH]1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3ncc4ccccc4n3)nc2c1; ['Clc1ncc2ccccc2n1']; ['Nc1nc2cc(F)ccc2s1']; [0.99999845]
-Cn1cc(Nc2nc3cc(F)ccc3s2)c(=O)n1C; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cnccc3N3CCOCC3)nc2c1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3ncc4cc[nH]c4n3)nc2c1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccncc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(O)cc2)n1; [None]; [None]; [0]
-CN(C)c1cc(Nc2nc3cc(F)ccc3s2)cnn1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cccc3ncccc23)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cnn(C)c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccccc2)n1; []; []; []
-CN(C)c1nccc(-c2ccc(Cl)c(O)c2)n1; [None]; [None]; [0]
-CCc1ccc(-c2ccnc(N(C)C)n2)cc1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cn[nH]c2)n1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccnc(N(C)C)n2)cc1; [None]; [None]; [0]
-CN(C)c1nccc(-c2c(F)cccc2F)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2n[nH]c3ccccc23)n1; [None]; [None]; [0]
-Cc1ccccc1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2nc3ccccc3n2C)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(C(N)=O)cc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
-CN(C)c1nccc(Oc2ccc(F)cc2)n1; [None]; [None]; [0]
-Cc1ncc(-c2ccnc(N(C)C)n2)[nH]1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(C(N)=O)cc2F)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(O)cc2Cl)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccccc2Cl)n1; [None]; [None]; [0]
-CN(C)c1nccc([C@@H]2C[C@H](O)C2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cn[nH]c2Cl)n1; [None]; [None]; [0]
-COc1cc(-c2ccnc(N(C)C)n2)ccc1O; [None]; [None]; [0]
-CN(C)c1nccc(-c2cc[nH]c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(C#N)cc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cnc(C#N)cn2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cnccn2)n1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccnc(N(C)C)n2)o1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccoc2)n1; [None]; [None]; [0]
-COc1cc(CCc2ccnc(N(C)C)n2)ccc1O; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(C#N)nc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(COc2cccc(Cl)c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cccc(Br)c2)n1; ['CNC']; ['Clc1nccc(-c2cccc(Br)c2)n1']; [0.993954957]
-CN(C)c1nccc(-c2cccs2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-n2ccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(CCCO)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(O)cc2O)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccncn2)n1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccnc(N(C)C)n2)c1; [None]; [None]; [0]
-CN(C)c1nccc(COc2ccccc2Cl)n1; [None]; [None]; [0]
-CN(C)c1nccc([C@H](CO)c2ccccc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(F)c(Cl)c2)n1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-CN(C)c1nccc(CCc2ccc(Cl)cc2)n1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccnc(N(C)C)n2)cc1C; [None]; [None]; [0]
-CN(C)c1nccc(-c2cc(O)ccc2Cl)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2c(Cl)ccc3c2OCO3)n1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cnc(O)c(Cl)c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2c[nH]c(C(N)=O)c2)n1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccnc(N(C)C)n2)c1; [None]; [None]; [0]
-COCCCc1ccnc(N(C)C)n1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccnc(N(C)C)n3)cc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccnc(N(C)C)n3)ccc12; [None]; [None]; [0]
-CN(C)c1nccc(Cn2ccccc2=O)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(NC(N)=O)cc2)n1; [None]; [None]; [0]
-Cc1nnc(-c2ccnc(N(C)C)n2)o1; [None]; [None]; [0]
-COc1ccc(-c2ccnc(N(C)C)n2)cc1OC; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(S(C)(=O)=O)cc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2nnco2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc3c(c2)CC(=O)N3)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cncc(O)c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(C2CCOCC2)n1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1ccnc(N(C)C)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccnc(N(C)C)n2)n1; [None]; [None]; [0]
-CN(C)c1nccc([C@@H]2CC[C@H](C(N)=O)CC2)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ncc(F)cn2)n1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(Br)o2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-n2ccnc2)n1; [None]; [None]; [0]
-CCc1sccc1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-CN(C)c1nccc(N(C)c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cc(Cl)c(O)c(Cl)c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2nccs2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc3c(c2)CCN3)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cc(N)n[nH]2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc3[nH]c(=O)[nH]c3c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cc(N)[nH]n2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2nncs2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2c(N)cnn2C)n1; [None]; [None]; [0]
-CN(C)c1nccc(Nc2ccncc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(Br)cc2F)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cccc([O-])c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2[nH]nc3ccc(F)cc23)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc(N(C)C)n2)cc1; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccnc(N(C)C)n2)c1C; [None]; [None]; [0]
-Cc1csc(-c2ccnc(N(C)C)n2)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccnc(N(C)C)n2)c(C)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccnc(N(C)C)n2)nc1C; [None]; [None]; [0]
-CN(C)c1nccc(-c2cc(O)cc(Br)c2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cnco2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(C(=O)NC3CC3)cc2)n1; [None]; [None]; [0]
-Cc1cc(-c2ccnc(N(C)C)n2)ccc1C(N)=O; [None]; [None]; [0]
-CN(C)c1nccc(-c2cc(F)c(O)c(F)c2)n1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccnc(N(C)C)n3)cc2o1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc3c(=O)[nH][nH]c3c2)n1; [None]; [None]; [0]
-CSc1cccc(-c2ccnc(N(C)C)n2)c1; [None]; [None]; [0]
-CN(C)c1nccc(OCc2ccccc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2[nH]cnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(OCc2cccc3ccccc23)n1; [None]; [None]; [0]
-CN(C)c1nccc(Oc2ccc(F)cc2F)n1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
-CN(C)c1nccc(CCc2c[nH]c3ccccc23)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ccc(F)cc2Cl)n1; [None]; [None]; [0]
-CN(C)c1nccc(Oc2ccccc2F)n1; [None]; [None]; [0]
-CN(C)c1nccc(OCc2ccc(F)cc2F)n1; [None]; [None]; [0]
-CN(C)c1nccc(NCc2c(F)cccc2Cl)n1; [None]; [None]; [0]
-CN(C)c1nccc(Cc2ccc(F)cc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cn[nH]c2-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccccc3)cc12; [None]; [None]; [0]
-Cc1ccccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-CN(C)c1nccc(CCc2ccc(F)cc2F)n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3ncnc(N)c3c2)c(F)c1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(C(=O)[O-])cc3)cc12; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cn[nH]c3Cl)cc12; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccc3ncnc(N)c3c2)c[nH]1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3c(Cl)ccc4c3OCO4)cc12; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc4ncnc(N)c4c3)ccc12; [None]; [None]; [0]
-Cc1nnc(-c2ccc3ncnc(N)c3c2)o1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cnc4[nH]ccc4c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3nnco3)cc12; [None]; [None]; [0]
-CNc1nccc(-c2ccc3ncnc(N)c3c2)n1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ncc(F)cn3)cc12; [None]; [None]; [0]
-Nc1cc(-c2ccc3ncnc(N)c3c2)n[nH]1; [None]; [None]; [0]
-Nc1ncnc2ccc(C3CCOCC3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(Br)o3)cc12; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc([O-])c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3[nH]nc4ccc(F)cc34)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3nncs3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(C(=O)NC4CC4)cc3)cc12; [None]; [None]; [0]
-Cc1cc(-c2ccc3ncnc(N)c3c2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3ncnc(N)c3c2)c1C; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)cc12; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccc4ncnc(N)c4c3)CC2)c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc(NC(=O)C4CC4)c3)cc12; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc4ncnc(N)c4c3)c2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccc3ncnc(N)c3c2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-n3ncc4ccccc4c3=O)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(C(=O)N4CCOCC4)cn3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(Cc3ccccc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(C(=O)N4CCOCC4)cc3)cc12; [None]; [None]; [0]
-CNS(=O)(=O)Cc1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ccc3ncnc(N)c3c2)CC1; [None]; [None]; [0]
-Nc1ncnc2ccc(C3CCCCC3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(Cc3cncnc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc([C@H]3CCN(C(=O)c4ccccc4)C3)cc12; [None]; [None]; [0]
-Nc1ncc(Cc2ccc3ncnc(N)c3c2)cn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3ncnc(N)c3c2)cc1Cl; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Cc1cc(-c2ccc3ncnc(N)c3c2)sn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc3ncnc(N)c3c2)cc1Cl; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc(N4CCOCC4)ccn3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc(-c4ccccc4)[nH]n3)cc12; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc4ncnc(N)c4c3)CC2)c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccnc3Oc3ccccc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc([C@@H]3CC[C@@H]([NH3+])CC3)cc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc3ncnc(N)c3c2)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc3ncnc(N)c3c2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc4ncnc(N)c4c3)cc2)CC1; [None]; [None]; [0]
-CCCCCc1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-CC[NH+](CC)c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ncc4cccn4n3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(CCCn3cncn3)cc12; [None]; [None]; [0]
-COc1cc(-c2ccc3ncnc(N)c3c2)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccc4ncnc(N)c4c3)ccc2O1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc4ccccn4n3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(N4CCCCC4)cc3)cc12; [None]; [None]; [0]
-Cc1csc2c(-c3ccc4ncnc(N)c4c3)ncnc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ncc(Cl)cn3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc(-n4nccn4)c3)cc12; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-Nc1ncnc2ccc(Cc3ccc(S(=O)(=O)CCO)cc3)cc12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc3ncnc(N)c3c2)CC1; [None]; [None]; [0]
-Nc1ncnc2ccc(NC(=O)c3ccco3)cc12; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc3ncnc(N)c3c2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc3ncnc(N)c3c2)CC1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc(F)cc4c3OCOC4)cc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc4ncnc(N)c4c3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc(-c4cccnc4)ccn3)cc12; [None]; [None]; [0]
-Cc1nc(-c2ccc3ncnc(N)c3c2)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ncc4sccc4n3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc(NC(=O)N4CCCC4)c3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ncc4cc(Cl)ccc4n3)cc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(C(=O)[O-])c(Cl)c3)cc12; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc4ncnc(N)c4c3)[nH]c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(OC(F)(F)F)cc12; [None]; [None]; [0]
-Cn1cc(-c2ccc3ncnc(N)c3c2)c2ccccc21; [None]; [None]; [0]
-Cc1cc(-c2ccc3ncnc(N)c3c2)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc4ncnc(N)c4c3)ccc12; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccc3ncnc(N)c3c2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4ncnc(N)c4c3)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3ncnc(N)c3c2)cn1; [None]; [None]; [0]
-Nc1ncnc2ccc(C3CCS(=O)(=O)CC3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(C3CCC(F)(F)CC3)cc12; [None]; [None]; [0]
-C[NH+](C)CCCc1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(CC3CCOCC3)cc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3ncnc(N)c3c2)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc3ncnc(N)c3c2)cc1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3ncnc(N)c3c2)c(OC)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Cn1nccc1-c1ccccc1; ['Brc1ccccc1']; ['Cn1cccn1']; [0.993932188]
-Cc1nnc(-c2ccccc2-c2ccnn2C)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccnn1C; [None]; [None]; [0]
-COC(C)(C)CCc1ccnn1C; [None]; [None]; [0]
-Cn1nccc1-c1ccccc1P(C)(C)=O; [None]; [None]; [0]
-Cn1nccc1C1CCOCC1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccnn1C; [None]; [None]; [0]
-Cn1nccc1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
-Cc1cccc(-c2ccnn2C)c1; ['Cc1cccc(Br)c1', 'Cc1cccc(Cl)c1', 'Cc1cccc(Br)c1']; ['Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1nccc1B1OC(C)(C)C(C)(C)O1', 'Cn1cccn1']; [0.99996984, 0.99996984, 0.99996984]
-Cn1nccc1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
-Cn1nccc1[C@@H]1CC[C@@H](CO)OC1; [None]; [None]; [0]
-Cn1nccc1C1CCCCC1; [None]; [None]; [0]
-COc1cnc(-c2ccnn2C)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccnn1C; ['CC(C)C(=O)CBr']; ['Cn1nccc1O']; [0.987103283]
-Cn1nccc1CC1CCCCC1; ['Br[Mg]CC1CCCCC1']; ['Cn1nccc1Br']; [0.989097357]
-Cc1nc2ccccn2c1-c1ccnn1C; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccnn2C)s1; [None]; [None]; [0]
-Cn1nccc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccnn1C; [None]; [None]; [0]
-CCC(C)(C)c1ccnn1C; [None]; [None]; [0]
-Cn1nccc1NCCc1c[nH]cn1; [None]; [None]; [0]
-Cn1nccc1NCCc1ccccc1; [None]; [None]; [0]
-Cn1nccc1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
-Cn1nccc1-c1ccc2c(cnn2C)c1; ['Cn1ncc2cc(B(O)O)ccc21']; ['Cn1nccc1Br']; [0.999998927]
-CCCCc1ccnn1C; [None]; [None]; [0]
-Cn1nccc1-c1ccc2c(N)[nH]nc2c1; ['Cn1nccc1B(O)O']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.999732792]
-Cn1cc(-c2ccc(-c3ccnn3C)cc2)cn1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccnn1C; [None]; [None]; [0]
-CCCn1cnc(-c2ccnn2C)n1; [None]; [None]; [0]
-Cn1nccc1CCC[NH3+]; [None]; [None]; [0]
-CSc1nc(-c2ccnn2C)c[nH]1; [None]; [None]; [0]
-Cn1nccc1[C@@H]1CCC[C@H]([NH3+])C1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccnn3C)cc2s1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccnn1C; [None]; [None]; [0]
-Cn1nccc1OC(F)(F)F; [None]; [None]; [0]
-Cn1nccc1-c1csc2ncncc12; [None]; [None]; [0]
-Cn1nccc1N1CCC(S(C)(=O)=O)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Cn1nccc1Br']; [0.999397397]
-C[C@H](c1ccnn1C)C(F)(F)F; [None]; [None]; [0]
-Cn1nccc1-c1cc[nH]c(=O)c1; [None]; [None]; [0]
-Cn1nccc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
-Cn1nccc1-c1ccn([C@@H2]CO)c(=O)c1; [None]; [None]; [0]
-Cn1nccc1-c1cnn2ccccc12; [None]; [None]; [0]
-COc1cc(CCc2ccnn2C)cc(OC)c1; [None]; [None]; [0]
-Cn1nccc1NC(=O)NC(C)(C)C; ['CC(C)(C)N=C=O']; ['Cn1nccc1N']; [0.999848366]
-Cn1nccc1-c1ccc(Cl)c(C(=O)[O-])c1; [None]; [None]; [0]
-Cn1nccc1-c1cnc2[nH]ccc2c1; ['Brc1cnc2[nH]ccc2c1']; ['Cn1nccc1B(O)O']; [0.999763787]
-Cn1nccc1C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccnn1C; [None]; [None]; [0]
-Cn1nccc1[C@@H]1CC[C@@H](CCC#N)CC1; [None]; [None]; [0]
-Cn1nccc1[C@@H]1CC[C@@H](NC(=O)O)C1; [None]; [None]; [0]
-Cn1nccc1-c1ccc(N2CCOCC2)cc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C']; ['Cn1nccc1Br']; [0.999999762]
-Cc1cc(-c2ccnn2C)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cn1nccc1-n1ccc(CO)n1; [None]; [None]; [0]
-Cn1nccc1-n1cnc(CCO)c1; [None]; [None]; [0]
-C[C@H](Nc1ccnn1C)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Cn1nccc1Br']; [0.999940157]
-C[C@@H](Nc1ccnn1C)C(C)(C)O; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccnn2C)[nH]1; [None]; [None]; [0]
-C[C@H](Nc1ccnn1C)C(C)(C)O; [None]; [None]; [0]
-Cn1nccc1-c1nc[nH]n1; [None]; [None]; [0]
-Cn1nccc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccnn1C; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccnn1C; [None]; [None]; [0]
-Cn1nccc1-c1nncn1C1CC1; [None]; [None]; [0]
-Cn1nccc1NCC(C)(C)[NH3+]; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccnn1C; [None]; [None]; [0]
-Cn1cnnc1-c1ccnn1C; [None]; [None]; [0]
-Cn1nccc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-Cn1nccc1CCC(=O)NCc1ccccn1; [None]; [None]; [0]
-C[C@@H](Nc1ccnn1C)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Cn1nccc1Br']; [0.999940157]
-CNC(=O)c1ccc(-c2ccnn2C)s1; [None]; [None]; [0]
-CCc1cc(-c2ccnn2C)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ccnn2C)nc(N)n1; [None]; [None]; [0]
-Cn1nccc1[C@H]1CCCN1C(N)=O; [None]; [None]; [0]
-Cn1nccc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-Cn1nccc1CC1CCOCC1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccnn2C)[nH]1; [None]; [None]; [0]
-Cn1nccc1-c1cn(C)n(C)c1=O; [None]; [None]; [0]
-Cn1nccc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-Cn1nccc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-Cn1nccc1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-Cn1nccc1O[C@@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-Cn1nccc1Cc1ccccc1NS(C)(=O)=O; [None]; [None]; [0]
-CN(C)c1cc(-c2ccnn2C)cnn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C#N)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2nc(N)ncc2C)cc1; ['CCOc1ccc(B(O)O)cc1']; ['Cc1cnc(N)nc1']; [0.998829424]
-CC(=O)N(C)c1ccc(-c2nc(N)ncc2C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1c[nH]nc1C; [None]; [None]; [0]
-COc1cccc(N2CCC(c3nc(N)ncc3C)CC2)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnnn1C; [None]; [None]; [0]
-COc1ncccc1-c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
-COc1cc(-c2nc(N)ncc2C)cc(OC)c1OC; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnn(C)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cn(C)nc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnc2cccnn12; [None]; [None]; [0]
-COc1ccc(-c2nc(N)ncc2C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(O)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccccc1; ['Cc1cnc(N)nc1']; ['OB(O)c1ccccc1']; [0.987570703]
-Cc1cnc(N)nc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(NS(C)(=O)=O)nc1; [None]; [None]; [0]
-Cc1cnc(N)nc1Cc1nccc2ccccc12; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(Cl)cc1; ['Cc1cnc(N)nc1']; ['OB(O)c1ccc(Cl)cc1']; [0.988385439]
-Cc1cnc(N)nc1Nc1ncccn1; [None]; [None]; [0]
-Cc1cnc(N)nc1CCCO; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(F)c1; ['Cc1cnc(N)nc1']; ['OB(O)c1cccc(F)c1']; [0.952733517]
-CC(=O)NCc1ccc(-c2nc(N)ncc2C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(OCCO)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc(C)n(C)n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc(N)ncc2C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(N(C)C)cc1; ['CN(C)c1ccc(B(O)O)cc1']; ['Cc1cnc(N)nc1']; [0.997005403]
-Cc1cnc(N)nc1-c1ccc(C(F)(F)F)cc1; ['Cc1cnc(N)nc1']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.99859935]
-Cc1cnc(N)nc1C1CCCCC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnc(Cl)nc1; ['Cc1cnc(N)nc1']; ['OB(O)c1cnc(Cl)nc1']; [0.993782461]
-Cc1nc(C)c(-c2nc(N)ncc2C)s1; [None]; [None]; [0]
-Cc1cnc(N)nc1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2nc(N)ncc2C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cncnc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(Br)cc1; ['Cc1cnc(N)nc1']; ['OB(O)c1ccc(Br)cc1']; [0.98180908]
-Cc1cnc(N)nc1-c1ccc[nH]1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cn[nH]c1; [None]; [None]; [0]
-Cc1cc(-c2nc(N)ncc2C)sn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2nc(N)ncc2C)cc1Cl; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc2ccccc2cn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3nc(N)ncc3C)CC2)c1; [None]; [None]; [0]
-COc1cc(-c2nc(N)ncc2C)ccc1O; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2nc(N)ncc2C)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1scc2c1OCCO2; ['Cc1cnc(N)nc1']; ['c1scc2c1OCCO2']; [0.986019909]
-Cc1cnc(N)nc1-c1cccc2c1OCO2; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1CC[C@@H]([NH3+])CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(F)c(F)c1; ['Cc1cnc(N)nc1']; ['OB(O)c1ccc(F)c(F)c1']; [0.998613358]
-Cc1cnc(N)nc1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnc2ccccc2c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2nc(N)ncc2C)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1nc(N)ncc1C; [None]; [None]; [0]
-COCCc1nc(N)ncc1C; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2nc(N)ncc2C)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccco1; [None]; [None]; [0]
-CSc1cccc(-c2nc(N)ncc2C)c1; [None]; [None]; [0]
-Cc1cc(-c2nc(N)ncc2C)nc(N)n1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3nc(N)ncc3C)cc2)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1C1CCOCC1; [None]; [None]; [0]
-CC[C@@H](CO)c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ncc(Br)cn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(F)cc1Cl; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-COc1ccc(-c2nc(N)ncc2C)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['Cc1cnc(N)nc1']; [0.990138412]
-Cc1cnc(N)nc1-c1ccsc1; [None]; [None]; [0]
-CCc1ccc(-c2nc(N)ncc2C)cc1; ['CCc1ccc(B(O)O)cc1']; ['Cc1cnc(N)nc1']; [0.97715807]
-Cc1cnc(N)nc1-c1ccc(Cl)cc1Cl; ['Cc1cnc(N)nc1']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.946581364]
-Cc1cnc(N)nc1-c1ncc2cccn2n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc2ccccn2n1; [None]; [None]; [0]
-COc1cc(-c2nc(N)ncc2C)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-Cc1cc(C)cc(-c2nc(N)ncc2C)c1; ['Cc1cc(C)cc(B(O)O)c1']; ['Cc1cnc(N)nc1']; [0.992624223]
-Cc1cnc(N)nc1-c1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
-COc1cc(F)c(-c2nc(N)ncc2C)cc1OC; [None]; [None]; [0]
-COc1ccc2cccc(-c3nc(N)ncc3C)c2c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ncc(Cl)cn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ncnc2c(C)csc12; [None]; [None]; [0]
-COc1cc(-c2nc(N)ncc2C)ccc1Cl; [None]; [None]; [0]
-COc1cc(-c2nc(N)ncc2C)c(OC)cc1Br; [None]; [None]; [0]
-Cc1ccc(-c2nc(N)ncc2C)o1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2nc(N)ncc2C)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2nc(N)ncc2C)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2nc(N)ncc2C)c1; [None]; [None]; [0]
-COc1ccc2oc(-c3nc(N)ncc3C)cc2c1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1CC[C@@H](NC(=O)NC(C)C)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2nc(N)ncc2C)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc2ccccc2o1; [None]; [None]; [0]
-Cc1nc(-c2nc(N)ncc2C)c2sccc2n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ncc2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc(N)ncc2C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cn(C)nc1C(C)C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(OC(F)(F)F)cc1; ['Cc1cnc(N)nc1']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999916434]
-Cc1cnc(N)nc1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-COc1ccc2nc(-c3nc(N)ncc3C)[nH]c2c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cscn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(N2CCC[C@@H]2C)n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(=O)[O-])c(Cl)c1; [None]; [None]; [0]
-Cc1ccc(-c2nc(N)ncc2C)nc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc(C)c(OCCO)c(C)c1; [None]; [None]; [0]
-CCc1cccc(-c2nc(N)ncc2C)n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(N(C)C)nc1; [None]; [None]; [0]
-Cc1cnc(N)nc1C1CCS(=O)(=O)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(CCO)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1C1CCC(F)(F)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1nc(N)ncc1C; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1nc(N)ncc1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc(N)ncc2C)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2nc(N)ncc2C)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@H](C)CS(C)(=O)=O; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2nc(N)ncc2C)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
-CCOc1ccccc1-c1nc(N)ncc1C; ['CCOc1ccccc1B(O)O']; ['Cc1cnc(N)nc1']; [0.98813653]
-CNC(=O)c1ccccc1-c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2nc(N)ncc2C)[nH]1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
-COC(C)(C)CCc1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccccc1S(=O)(=O)C(C)C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc[nH]n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccnc2ccccc12; [None]; [None]; [0]
-Cc1cccc(-c2nc(N)ncc2C)c1; ['Cc1cccc(B(O)O)c1']; ['Cc1cnc(N)nc1']; [0.999314547]
-Cc1cnc(N)nc1-c1ccccc1P(C)(C)=O; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(C(F)(F)F)c1; ['Cc1cnc(N)nc1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.99860543]
-Cc1cnc(N)nc1-c1cccnc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccccc1F; ['Cc1cnc(N)nc1']; ['OB(O)c1ccccc1F']; [0.950193465]
-Cc1cnc(N)nc1-c1ccccc1Br; ['Cc1cnc(N)nc1']; ['OB(O)c1ccccc1Br']; [0.964998]
-Cc1cnc(N)nc1-c1ccccc1C#N; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccccc1Cl; ['Cc1cnc(N)nc1']; ['OB(O)c1ccccc1Cl']; [0.977812648]
-Cc1cnc(N)nc1-c1c(F)cccc1F; ['Cc1cnc(N)nc1']; ['OB(O)c1c(F)cccc1F']; [0.999309421]
-Cc1cnc(N)nc1-c1ccccc1C(N)=O; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccccc1OC(F)(F)F; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnn(CCO)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H](N)c1ccco1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccncn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1CC[C@@H](CO)OC1; [None]; [None]; [0]
-Cc1cnc(N)nc1CC1CCCCC1; [None]; [None]; [0]
-COc1cnc(-c2nc(N)ncc2C)nc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc2c(c1)CCC2; [None]; [None]; [0]
-Cc1ccc(-c2nc(N)ncc2C)c(Br)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnco1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnc2ccccn12; [None]; [None]; [0]
-Cc1cnc(N)nc1OCC(=O)C(C)C; [None]; [None]; [0]
-CNc1nc(C)c(-c2nc(N)ncc2C)s1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1c(Cl)cccc1Cl; ['Cc1cnc(N)nc1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.943391621]
-Cc1cnc(N)nc1-c1c(C)nc2ccccn12; [None]; [None]; [0]
-Cc1cnc(N)nc1NC(C)(C)C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1sc(N)nc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1OC1CCCCC1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2nc(N)ncc2C)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1cnc(N)nc1']; [0.942913353]
-Cc1cnc(N)nc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-Cc1ncc(-c2nc(N)ncc2C)[nH]1; [None]; [None]; [0]
-Cc1cnc(N)nc1NCc1cccnc1; [None]; [None]; [0]
-COc1cccc(-c2nc(N)ncc2C)c1; ['COc1cccc(B(O)O)c1']; ['Cc1cnc(N)nc1']; [0.9991678]
-CCC(C)(C)c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(Cl)c1Cl; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(Cl)s1; [None]; [None]; [0]
-Cc1cnc(N)nc1Nc1cccnc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccnc(N)n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-n1cnc2ccccc21; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-Cc1cnc(N)nc1NCCc1c[nH]cn1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1NC(=O)c1cccs1; [None]; [None]; [0]
-Cc1cnc(N)nc1N[C@H](C)CO; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
-Cc1cnc(N)nc1OCC(C)C; [None]; [None]; [0]
-CCCCc1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1O[C@H](C)[C@@H](C)O; [None]; [None]; [0]
-Cc1cnc(N)nc1NCCc1ccccc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(-c2cnn(C)c2)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cncc2ccccc12; [None]; [None]; [0]
-CCCn1cnc(-c2nc(N)ncc2C)n1; [None]; [None]; [0]
-Cc1cnc(N)nc1CCC[NH3+]; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(CO)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cncn1C; [None]; [None]; [0]
-Cc1cnc(N)nc1O[C@@H](C)C[NH+](C)C; [None]; [None]; [0]
-Cc1cnc(N)nc1Nc1ccncc1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1CCC[C@H]([NH3+])C1; [None]; [None]; [0]
-CSc1nc(-c2nc(N)ncc2C)c[nH]1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnoc1C(C)C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(CCC#N)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccs1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1csc2ncncc12; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(F)cc1C(F)(F)F; ['Cc1cnc(N)nc1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.989731073]
-Cc1cnc(N)nc1NC(C)C; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2nc(N)ncc2C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1N1CCC(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3nc(N)ncc3C)cc2s1; [None]; [None]; [0]
-Cc1cnc(N)nc1OC(F)(F)F; [None]; [None]; [0]
-COc1ccc(-c2nc(N)ncc2C)cc1Cl; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H](C)C(F)(F)F; [None]; [None]; [0]
-CCC(=O)Nc1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnn2ccccc12; [None]; [None]; [0]
-CCCn1cc(-c2nc(N)ncc2C)cn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnoc1; [None]; [None]; [0]
-Cc1cc(-c2nc(N)ncc2C)no1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc2c1C(=O)CC2; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccn([C@@H2]CO)c(=O)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc[nH]c(=O)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
-COc1cc(CCc2nc(N)ncc2C)cc(OC)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1NC(=O)NC(C)(C)C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc([S@](C)=O)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(Cl)c(C(=O)[O-])c1; [None]; [None]; [0]
-CCOC(=O)Cc1nc(N)ncc1C; [None]; [None]; [0]
-COc1ccncc1Nc1nc(N)ncc1C; [None]; [None]; [0]
-CCN(CC)c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1Nc1cnc2ccccc2c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-Cc1cnc(N)nc1C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1CC[C@@H](NC(=O)O)C1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1CCCN(C(=O)CC#N)C1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1CC[C@@H](CC#N)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1CC[C@@H](CCC#N)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@@H]1CC[C@@H](C#N)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(S(=O)(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@H]1COCC[C@@H]1C#N; [None]; [None]; [0]
-Cc1cnc(N)nc1-n1ccc(CO)n1; [None]; [None]; [0]
-Cc1cc(-c2nc(N)ncc2C)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-n1cnc(CCO)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1N[C@@H](C)C(C)(C)C; [None]; [None]; [0]
-Cc1cnc(N)nc1N[C@@H](C)C(C)(C)O; [None]; [None]; [0]
-Cc1cnc(N)nc1N[C@H](C)C(C)(C)O; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc(F)c1C(N)=O; [None]; [None]; [0]
-Cc1cnc(N)nc1-n1ncc2ccccc21; [None]; [None]; [0]
-Cc1cnc(N)nc1-n1ncc2c(O)cccc21; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1nc[nH]n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccnc1O; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-CSc1nc(C)c(-c2nc(N)ncc2C)[nH]1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1[nH]cnc1C; [None]; [None]; [0]
-COc1ccc(-c2nc(N)ncc2C)c(OC)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1Cc1ccncc1; [None]; [None]; [0]
-Cc1cnc(N)nc1NCC(C)(C)[NH3+]; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1nncn1C(C)C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1nncn1[C@H](C)CO; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1nncn1C1CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1nncn1C; [None]; [None]; [0]
-Cc1cnc(N)nc1CCC(=O)NCc1ccccn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-n1ccnc1; [None]; [None]; [0]
-Cc1cnc(N)nc1OC1CCOCC1; [None]; [None]; [0]
-Cc1cnc(N)nc1N[C@H](C)C(C)(C)C; [None]; [None]; [0]
-CCCCc1cc(-c2nc(N)ncc2C)nc(N)n1; [None]; [None]; [0]
-CCc1cc(-c2nc(N)ncc2C)nc(N)n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-Cc1cncc(-c2nc(N)ncc2C)n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1nnc(N)s1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnc(N)s1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc(N)ncc2C)s1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@H]1CCCN1C(N)=O; [None]; [None]; [0]
-COc1cccc(F)c1-c1nc(N)ncc1C; ['COc1cccc(F)c1B(O)O']; ['Cc1cnc(N)nc1']; [0.999357522]
-Cc1cnc(N)nc1-c1nc2ccccc2s1; [None]; [None]; [0]
-Cc1cnc(N)nc1CC1CCOCC1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2nc(N)ncc2C)[nH]1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc2ccsc12; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cn(C)n(C)c1=O; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1nc(N)ncc1C; [None]; [None]; [0]
-Cc1cnc(N)nc1O[C@@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-Cc1cnc(N)nc1Cc1ccccc1NS(C)(=O)=O; [None]; [None]; [0]
-Cc1cnc(N)nc1Cc1cccnc1; [None]; [None]; [0]
-Cc1cnc(N)nc1[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1OC(C)(C)C; [None]; [None]; [0]
-COc1ccc(OC)c(-c2nc(N)ncc2C)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1NCC(C)(C)C; [None]; [None]; [0]
-Cc1cnc(N)nc1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(-c2ccccc2)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H]2C[C@H](O)C2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccccc2-c2nnc(C)[nH]2)nc1; [None]; [None]; [0]
-COC(C)(C)CCc1ncc(C)cn1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(Cc2cc(F)cc(F)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccccc2S(=O)(=O)C(C)C)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccccc2P(C)(C)=O)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccnc3ccccc23)nc1; [None]; [None]; [0]
-Cc1cnc(C2CCOCC2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc[nH]n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(C(F)(F)F)c2)nc1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['Cc1cnc(Cl)nc1']; [0.999975324]
-Cc1cnc(-c2cccnc2)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1cccnc1']; [0.997681856]
-Cc1cnc(-c2ccccc2F)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1ccccc1F']; [0.999272406]
-Cc1cnc(-c2cccc(C)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccccc2Cl)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccccc2C#N)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccccc2Br)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1ccccc1Br']; [0.998246431]
-Cc1cnc(-c2ccccc2OC(F)(F)F)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.998357594]
-Cc1cnc(-c2ccccc2C(=O)[O-])nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnn(Cc3ccccc3)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2c(F)cccc2F)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccccc2C(N)=O)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccncn2)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H](N)c2ccco2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnc(-c3ccccc3)[nH]2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2csc(C(C)(C)C)n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnn(CCO)c2)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H]2CC[C@@H](CO)OC2)nc1; [None]; [None]; [0]
-Cc1cnc(C2CCCCC2)nc1; [None]; [None]; [0]
-Cc1cnc(CC2CCCCC2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(NC(=O)c3ccccc3)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ncc(C)cn2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc3c(c2)CCC3)nc1; ['Cc1cncnc1']; ['Ic1ccc2c(c1)CCC2']; [0.840477645]
-Cc1cnc(OCC(=O)C(C)C)nc1; ['CC(C)C(=O)CBr']; ['Cc1cnc(O)nc1']; [0.977119744]
-Cc1cnc(-c2ccc(C)cc2Br)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnco2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2c(C)nc3ccccn23)nc1; [None]; [None]; [0]
-Cc1cnc(-c2sc(C)nc2C)nc1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ncc(C)cn2)s1; [None]; [None]; [0]
-Cc1cnc(-c2cnc3ccccn23)nc1; [None]; [None]; [0]
-Cc1cnc(-c2c(Cl)cccc2Cl)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnc3cccnn23)nc1; [None]; [None]; [0]
-Cc1cnc(-c2sc(N)nc2C)nc1; [None]; [None]; [0]
-Cc1cnc(OC2CCCCC2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(Cn3cncn3)c2)nc1; [None]; [None]; [0]
-Cc1cnc(NCc2cccnc2)nc1; ['Cc1cnc(Cl)nc1', 'Cc1cnc(S(C)=O)nc1']; ['NCc1cccnc1', 'NCc1cccnc1']; [0.998731196, 0.998731196]
-Cc1cnc(NC(C)(C)C)nc1; ['CC(C)(C)N']; ['Cc1cnc(S(C)=O)nc1']; [0.947979152]
-Cc1cnc(-c2cccc(Cl)c2Cl)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1cccc(Cl)c1Cl']; [0.992171049]
-Cc1cnc(-c2cc(C)ccc2Cl)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccnc(N)n2)nc1; [None]; [None]; [0]
-CCC(C)(C)c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(-c2ccc3ccccc3c2)nc1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1ccc2ccccc2c1']; ['Cc1cnc(Cl)nc1', 'Cc1cncnc1']; [0.999930739, 0.999930739]
-Cc1cnc(-c2cnc(C)[nH]2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(Cl)s2)nc1; [None]; [None]; [0]
-COc1cccc(-c2ncc(C)cn2)c1; ['COc1cccc(Br)c1']; ['Cc1cnc(Cl)nc1']; [0.996305108]
-Cc1cnc(N[C@H](C)CO)nc1; ['C[C@@H](N)CO']; ['Cc1cnc(S(C)=O)nc1']; [0.997249544]
-Cc1cnc(OCC(C)C)nc1; ['CC(C)CBr']; ['Cc1cnc(O)nc1']; [0.996049345]
-Cc1cnc(Nc2cccnc2)nc1; ['Cc1cnc(S(C)=O)nc1']; ['Nc1cccnc1']; [0.987635314]
-Cc1cnc(-n2cnc3ccccc32)nc1; ['Cc1cnc(Cl)nc1']; ['c1ccc2[nH]cnc2c1']; [0.999955773]
-Cc1cnc(O[C@H](C)[C@@H](C)O)nc1; [None]; [None]; [0]
-Cc1cnc(NCCc2c[nH]cn2)nc1; ['Cc1cnc(Cl)nc1', 'Cc1cnc(N)nc1']; ['NCCc1c[nH]cn1', 'OCCc1c[nH]cn1']; [0.99746418, 0.99746418]
-Cc1cnc(NC(=O)c2cccs2)nc1; ['Cc1cnc(N)nc1', 'Cc1cnc(N)nc1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.999634743, 0.999634743]
-COC(=O)[C@@H](N)Cc1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(-c2cncc3ccccc23)nc1; [None]; [None]; [0]
-CCCCc1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(-c3cnn(C)c3)cc2)nc1; ['Cc1cnc(-c2ccc(Br)cc2)nc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999964237]
-Cc1cnc(-c2cccc(CC(=O)[O-])c2)nc1; [None]; [None]; [0]
-Cc1cnc(NCCc2ccccc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc3c(N)[nH]nc3c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc3c(cnn3C)c2)nc1; ['Cc1cncnc1']; ['Cn1ncc2cc(Br)ccc21']; [0.962881565]
-Cc1cnc(O[C@@H](C)C[NH+](C)C)nc1; [None]; [None]; [0]
-CCCn1cnc(-c2ncc(C)cn2)n1; [None]; [None]; [0]
-Cc1cnc(CCC[NH3+])nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(CO)c2)nc1; ['Cc1cnc(Cl)nc1']; ['OCc1cccc(B(O)O)c1']; [0.99723804]
-Cc1cnc(-c2cccc(O)c2)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1cccc(O)c1']; [0.999396801]
-Cc1cnc(-c2cncn2C)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H]2CCC[C@H]([NH3+])C2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccco2)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1ccco1']; [0.88989985]
-Cc1cnc(Nc2ccncc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnn(C)c2)nc1; ['Cc1cnc(Cl)nc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999587834]
-Cc1cnc(-c2cccs2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnoc2C(C)C)nc1; [None]; [None]; [0]
-Cc1cnc(NC(C)C)nc1; ['CC(C)N']; ['Cc1cnc(Cl)nc1']; [0.999072909]
-CSc1nc(-c2ncc(C)cn2)c[nH]1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(CCC#N)c2)nc1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ncc(C)cn3)cc2s1; [None]; [None]; [0]
-Cc1cnc(-c2csc3ncncc23)nc1; [None]; [None]; [0]
-Cc1cnc(OC(F)(F)F)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(F)cc2C(F)(F)F)nc1; [None]; [None]; [0]
-Cc1cnc(N2CCC(S(C)(=O)=O)CC2)nc1; ['CS(=O)(=O)C1CCNCC1']; ['Cc1cnc(Cl)nc1']; [0.999861598]
-CCC(=O)Nc1ccc(-c2ncc(C)cn2)cc1; [None]; [None]; [0]
-Cc1cnc(-c2cn(C)c3ccccc23)nc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ncc(C)cn2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Cc1cnc(Cl)nc1']; [0.996501565]
-COc1ccc(-c2ncc(C)cn2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Cc1cnc(Cl)nc1']; [0.999253]
-CCC(=O)Nc1ncc(C)cn1; ['CCC(=O)Cl', 'CCC(=O)OC(=O)CC']; ['Cc1cnc(N)nc1', 'Cc1cnc(N)nc1']; [0.999144673, 0.999144673]
-Cc1cnc([C@@H](C)C(F)(F)F)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnoc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc(C)on2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnn3ccccc23)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccn([C@@H2]CO)c(=O)c2)nc1; [None]; [None]; [0]
-CCCn1cc(-c2ncc(C)cn2)cn1; [None]; [None]; [0]
-Cc1cnc(-c2cc[nH]c(=O)c2)nc1; [None]; [None]; [0]
-Cc1cnc(NC(=O)NC(C)(C)C)nc1; ['CC(C)(C)N=C=O']; ['Cc1cnc(N)nc1']; [0.999782622]
-Cc1cnc(-c2cccc3c2C(=O)CC3)nc1; [None]; [None]; [0]
-COc1cc(CCc2ncc(C)cn2)cc(OC)c1; ['COc1cc(CCl)cc(OC)c1']; ['Cc1cnc(C)nc1']; [0.94336319]
-CCOC(=O)Cc1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C(C)(C)N)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(Cl)c(C(=O)[O-])c2)nc1; [None]; [None]; [0]
-CCN(CC)c1ncc(C)cn1; ['CCNCC']; ['Cc1cnc(Cl)nc1']; [0.99501121]
-Cc1cnc(-c2ccc([S@](C)=O)cc2)nc1; [None]; [None]; [0]
-COc1ccncc1Nc1ncc(C)cn1; ['COc1ccncc1Br']; ['Cc1cnc(N)nc1']; [0.996760666]
-Cc1cnc(-c2c[nH]c3ccccc23)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc3c(=O)[nH]ccc3o2)nc1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(Nc2cnc3ccccc3c2)nc1; ['Cc1cnc(Cl)nc1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Cc1cnc(N)nc1']; [0.999916673, 0.999916673]
-Cc1cnc(-c2c[nH]c3cnccc23)nc1; [None]; [None]; [0]
-Cc1cnc(C2(C)CCN(S(C)(=O)=O)CC2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnc3[nH]ccc3c2)nc1; [None]; [None]; [0]
-Cc1cnc([C@H](CO)Cc2ccccc2)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H]2CC[C@@H](C#N)CC2)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H]2CCCN(C(=O)CC#N)C2)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H]2CC[C@@H](NC(=O)O)C2)nc1; [None]; [None]; [0]
-Cc1cnc([C@H]2COCC[C@@H]2C#N)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H]2CC[C@@H](CCC#N)CC2)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H]2CC[C@@H](CC#N)CC2)nc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ncc(C)cn2)cc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(N3CCOCC3)cc2)nc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C']; ['Cc1cnc(Cl)nc1']; [0.999995828]
-Cc1cnc(-n2ccc(CO)n2)nc1; ['Cc1cnc(Cl)nc1']; ['OCc1cc[nH]n1']; [0.998319209]
-Cc1cnc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc(C)nn2-c2cccc(Cl)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(S(C)(=O)=O)cc2)nc1; ['CS(=O)[O-]', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1cnc(-c2ccc(Br)cc2)nc1', 'Cc1cnc(Cl)nc1']; [0.998878896, 0.998878896]
-Cc1cnc(N[C@@H](C)C(C)(C)C)nc1; ['C[C@H](N)C(C)(C)C']; ['Cc1cnc(Cl)nc1']; [0.99939847]
-Cc1cnc(-n2cnc(CCO)c2)nc1; [None]; [None]; [0]
-Cc1cnc(N[C@H](C)C(C)(C)O)nc1; [None]; [None]; [0]
-Cc1cnc(N[C@@H](C)C(C)(C)O)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(F)c2C(N)=O)nc1; [None]; [None]; [0]
-Cc1cnc(-n2ncc3ccccc32)nc1; ['Cc1cnc(Cl)nc1']; ['c1ccc2[nH]ncc2c1']; [0.999938726]
-Cc1cnc(-n2ncc3c(O)cccc32)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(-n3cncn3)cc2)nc1; ['Cc1cnc(-c2ccc(Br)cc2)nc1']; ['c1nc[nH]n1']; [0.99998939]
-Cc1cnc(-c2cccnc2O)nc1; [None]; [None]; [0]
-Cc1cnc(-c2nc[nH]n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2nc3ccc(O)cc3[nH]2)nc1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ncc(C)cn2)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2ncc(C)cn2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['Cc1cnc(Cl)nc1']; [0.999353826]
-Cc1cnc(-c2[nH]cnc2C)nc1; [None]; [None]; [0]
-Cc1cnc(Cc2ccncc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C(=O)c3ccccc3)cc2)nc1; ['Cc1cnc(Cl)nc1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.986154735]
-Cc1cnc(NCC(C)(C)[NH3+])nc1; [None]; [None]; [0]
-Cc1cnc(-c2nncn2C)nc1; [None]; [None]; [0]
-Cc1cnc(-c2nncn2C(C)C)nc1; [None]; [None]; [0]
-Cc1cnc(-c2nncn2[C@H](C)CO)nc1; [None]; [None]; [0]
-Cc1cnc(OC2CCOCC2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2nncn2C2CC2)nc1; [None]; [None]; [0]
-Cc1cnc(-n2ccnc2)nc1; ['Cc1cnc(Cl)nc1']; ['c1c[nH]cn1']; [0.995491326]
-Cc1cnc(-c2cn(Cc3ccccc3)nn2)nc1; [None]; [None]; [0]
-CCc1cc(-c2ncc(C)cn2)nc(N)n1; [None]; [None]; [0]
-Cc1cnc(-c2cnc(N)s2)nc1; [None]; [None]; [0]
-Cc1cnc(CCC(=O)NCc2ccccn2)nc1; [None]; [None]; [0]
-Cc1cnc(N[C@H](C)C(C)(C)C)nc1; ['C[C@@H](N)C(C)(C)C']; ['Cc1cnc(Cl)nc1']; [0.99939847]
-CNC(=O)c1ccc(-c2ncc(C)cn2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ncc(C)cn2)nc(N)n1; [None]; [None]; [0]
-Cc1cnc(-c2nnc(N)s2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cncc(C)n2)nc1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(-c2csc(N3CCOCC3)n2)nc1; [None]; [None]; [0]
-Cc1cnc([C@H]2CCCN2C(N)=O)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc3ccsc23)nc1; [None]; [None]; [0]
-Cc1cnc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ncc3ccccc3n2)nc1; [None]; [None]; [0]
-Cc1cnc(CC2CCOCC2)nc1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ncc(C)cn2)[nH]1; [None]; [None]; [0]
-Cc1cnc(-c2cn(C)n(C)c2=O)nc1; [None]; [None]; [0]
-Cc1cnc(-c2nc(N)c3ccccc3n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ncc3cc[nH]c3n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnccc2N2CCOCC2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2c[nH]c3cccnc23)nc1; [None]; [None]; [0]
-Cc1cnc(Cc2cccnc2)nc1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(O[C@@H]2CC[C@H](O)CC2)nc1; [None]; [None]; [0]
-Cc1cnc(NCC(C)(C)C)nc1; ['CC(C)(C)CN']; ['Cc1cnc(S(C)=O)nc1']; [0.97585696]
-Cc1cnc(Cc2ccccc2NS(C)(=O)=O)nc1; [None]; [None]; [0]
-Cc1cnc(OC(C)(C)C)nc1; ['CC(C)(C)[O-]', 'CC(C)(C)O']; ['Cc1cnc(Cl)nc1', 'Cc1cnc(Cl)nc1']; [0.994712114, 0.994712114]
-Cc1cnc(-c2cc(C)cc(C)c2)nc1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ncc(C)cn2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Cc1cnc(Cl)nc1']; [0.999391198]
-Cc1cnc(N2CCC(c3nc4ccccc4[nH]3)CC2)nc1; [None]; [None]; [0]
-Cc1cnc(N2CC=C(c3c[nH]c4ccccc34)CC2)nc1; [None]; [None]; [0]
-Cc1cnc([C@H]2CC[C@@](C)(O)CC2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnnc(N(C)C)c2)nc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ncc(C)cn2)cc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C#N)cc2)nc1; ['Cc1cnc(-c2ccc(Br)cc2)nc1']; ['N#C[Zn]C#N']; [0.997770667]
-CCOc1ccc(-c2ncc(C)cn2)cc1; ['CCOc1ccc(Br)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Cc1cnc(Cl)nc1', 'Cc1cnc(Cl)nc1']; [0.999332964, 0.999332964]
-COc1cccc(N2CCC(c3ncc(C)cn3)CC2)c1; [None]; [None]; [0]
-Cc1cnc(-c2c[nH]nc2C)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(S(C)(=O)=O)c2)nc1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C']; ['Cc1cnc(Cl)nc1']; [0.999965191]
-COc1ncccc1-c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(-c2cnnn2C)nc1; [None]; [None]; [0]
-Cc1cnc(-n2cnc3ccc(C)cc32)nc1; ['Cc1ccc2nc[nH]c2c1']; ['Cc1cnc(Cl)nc1']; [0.999820769]
-COc1cc(-c2ncc(C)cn2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC']; ['Cc1cnc(Cl)nc1']; [0.992906809]
-COc1ccc(-c2ncc(C)cn2)cc1; ['COc1ccc(Br)cc1']; ['Cc1cnc(Cl)nc1']; [0.99646616]
-Cc1cnc(-c2cn(C)nc2C)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(NC(=O)C3CC3)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
-Cc1cnc(-n2ncc3ccccc3c2=O)nc1; ['Cc1cnc(Cl)nc1']; ['O=c1[nH]ncc2ccccc12']; [0.999671221]
-Cc1cnc(Nc2cc(C)ns2)nc1; ['Cc1cc(N)sn1']; ['Cc1cnc(Cl)nc1']; [0.998834431]
-Cc1cnc(-c2ccc(C(=O)[O-])cc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(NS(C)(=O)=O)nc2)nc1; [None]; [None]; [0]
-Cc1cnc(Nc2ncccn2)nc1; ['Brc1ncccn1']; ['Cc1cnc(N)nc1']; [0.979297101]
-Cc1cnc(-c2ccc(C(N)=O)cc2)nc1; ['Cc1cnc(Cl)nc1']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.987134635]
-Cc1cnc(-c2cccc(F)c2)nc1; ['Cc1cnc(Cl)nc1']; ['Fc1cccc([Mg]Br)c1']; [0.9951545]
-Cc1cnc(-c2ccc(C(=O)Nc3ccccc3)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(NC(=O)C2CC2)nc1; ['Cc1cnc(N)nc1']; ['O=C(Cl)C1CC1']; [0.999494672]
-Cc1cnc(Cc2nccc3ccccc23)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(OCCO)cc2)nc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ncc(C)cn2)cc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C(=O)N3CCOCC3)cc2)nc1; ['Cc1cnc(Cl)nc1']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.99863106]
-Cc1cnc(-c2ccc(Cl)cc2)nc1; ['Cc1cncnc1']; ['Clc1ccc(Br)cc1']; [0.840845168]
-Cc1cnc(-c2ccc(C(=O)N3CCOCC3)cn2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(C3CCNCC3)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc(C)n(C)n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(OC[C@H](C)O)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(Nc2ccncn2)nc1; ['Cc1cnc(Cl)nc1', 'Cc1cnc(N)nc1']; ['Nc1ccncn1', 'Clc1ccncn1']; [0.999547303, 0.999547303]
-Cc1cnc(-c2ccc(OC[C@@H](C)O)cc2)nc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(Cc2ccccc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(N(C)C)cc2)nc1; ['CN(C)c1ccc([Mg]Br)cc1']; ['Cc1cnc(Cl)nc1']; [0.990559638]
-Cc1cnc(-c2ccc(C(F)(F)F)cc2)nc1; ['Cc1cnc(Cl)nc1']; ['FC(F)(F)c1ccc([Mg]Br)cc1']; [0.983877659]
-Cc1cnc(-c2ccc(S(=O)(=O)N(C)C)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(Cc2ccccc2O)nc1; [None]; [None]; [0]
-Cc1cnc(C2CCN(S(C)(=O)=O)CC2)nc1; [None]; [None]; [0]
-Cc1cnc([C@H]2CCN(C(=O)c3ccccc3)C2)nc1; [None]; [None]; [0]
-Cc1cnc(Cc2cncnc2)nc1; [None]; [None]; [0]
-Cc1cnc(Cc2cnc(N)nc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cncnc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cnc(Cl)nc2)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1cnc(Cl)nc1']; [0.9971295]
-Cc1cnc(-c2cccc(C(=O)[O-])c2C)nc1; [None]; [None]; [0]
-Cc1cnc(C[C@H](O)CO)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(Br)cc2)nc1; ['Brc1ccc(I)cc1']; ['Cc1cncnc1']; [0.845887423]
-CCNS(=O)(=O)c1ccc(-c2ncc(C)cn2)cc1; [None]; [None]; [0]
-COc1ccc(Cc2ncc(C)cn2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1ncc(C)cn1; ['COc1ccc(Cl)cc1B(O)O']; ['Cc1cnc(Cl)nc1']; [0.992569]
-Cc1cnc(-c2ccc(N(C)C)c(Cl)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc[nH]2)nc1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ncc(C)cn2)cc1Cl; [None]; [None]; [0]
-Cc1cnc(-c2ccc3c(c2)CCO3)nc1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Cc1cnc(Cl)nc1']; ['Cc1cnc(Cl)nc1', 'OB(O)c1ccc2c(c1)CCO2']; [0.999962807, 0.999962807]
-Cc1cnc(-c2cc(N3CCOCC3)ccn2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cn[nH]c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc3ccccc3cn2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc(-c3ccccc3)[nH]n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc(C)ns2)nc1; [None]; [None]; [0]
-COc1cc(-c2ncc(C)cn2)ccc1O; [None]; [None]; [0]
-Cc1cnc(-c2cccc3c2OCO3)nc1; [None]; [None]; [0]
-Cc1cnc(Cn2ccnc2)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H]2CC[C@@H]([NH3+])CC2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(F)c(F)c2)nc1; ['Cc1cncnc1']; ['Fc1ccc(I)cc1F']; [0.8217116]
-COc1cccc(C(=O)N2CCC(c3ncc(C)cn3)CC2)c1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C(C)(C)C)cc2)nc1; ['CC(C)(C)c1ccc([Mg]Br)cc1']; ['Cc1cnc(Cl)nc1']; [0.993613303]
-Cc1cnc(-c2cnc3ccccc3c2)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1cnc2ccccc2c1']; [0.999214172]
-Cc1cnc(-c2scc3c2OCCO3)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C(C)(C)C)nc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccnc2Oc2ccccc2)nc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ncc(C)cn2)CC1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C(=O)N(C)C)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(OCC2(C)COC2)nc1; ['CC1(CO)COC1']; ['Cc1cnc(Cl)nc1']; [0.946079493]
-COc1cc(N2CCOCC2)ccc1-c1ncc(C)cn1; [None]; [None]; [0]
-COCCOc1ncc(C)cn1; ['COCCBr']; ['Cc1cnc(O)nc1']; [0.988728642]
-COc1cccc(C(=O)Nc2ncc(C)cn2)c1; ['COc1cccc(C(N)=O)c1']; ['Cc1cnc(Cl)nc1']; [0.997683644]
-CSc1cccc(-c2ncc(C)cn2)c1; ['CSc1cccc([Mg]Br)c1']; ['Cc1cnc(Cl)nc1']; [0.993059397]
-CCN1CCN(Cc2ccc(-c3ncc(C)cn3)cc2)CC1; [None]; [None]; [0]
-Cc1cnc(-c2cc(C)nc(N)n2)nc1; [None]; [None]; [0]
-Cc1cnc([C@@H]2CC[C@@H](O)CC2)nc1; [None]; [None]; [0]
-Cc1cnc([C@H]2CC[C@@H](O)C2)nc1; [None]; [None]; [0]
-COc1ccc(-c2ncc(C)cn2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC']; ['Cc1cnc(Cl)nc1']; [0.999827206]
-Cc1cnc(-c2ccc(F)cc2Cl)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ncc(Br)cn2)nc1; [None]; [None]; [0]
-CCc1ccc(-c2ncc(C)cn2)cc1; ['CCc1ccc([Mg]Br)cc1']; ['Cc1cnc(Cl)nc1']; [0.982935905]
-CCCCCc1ncc(C)cn1; [None]; [None]; [0]
-COc1ccc(CNc2ncc(C)cn2)cc1; [None]; [None]; [0]
-Cc1cnc(-c2ccsc2)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1ccsc1']; [0.999748766]
-CC[NH+](CC)c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(CCCn2cncn2)nc1; [None]; [None]; [0]
-COc1cc(-c2ncc(C)cn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cnc(-c2cc3ccccn3n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(Cl)cc2Cl)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(N3CCCCC3)cc2)nc1; ['Cc1cnc(Cl)nc1']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.999890685]
-Cc1cnc(-c2ccc3c(c2)CC(C)(C)O3)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ncc3cccn3n2)nc1; [None]; [None]; [0]
-COc1cc(F)c(-c2ncc(C)cn2)cc1OC; [None]; [None]; [0]
-Cc1cnc(-c2cccc3ccc(O)cc23)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cn(C)nc2C(F)(F)F)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ncc(Cl)cn2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ncnc3c(C)csc23)nc1; [None]; [None]; [0]
-COc1ccc2cccc(-c3ncc(C)cn3)c2c1; [None]; [None]; [0]
-Cc1cnc(Nc2cc(C)n(C)n2)nc1; ['Cc1cc(N)nn1C']; ['Cc1cnc(Cl)nc1']; [0.999810636]
-COc1cc(-c2ncc(C)cn2)ccc1Cl; ['COc1cc(Br)ccc1Cl']; ['Cc1cncnc1']; [0.988893807]
-Cc1cnc(Nc2nc(C)c(C)s2)nc1; ['Cc1cnc(Cl)nc1']; ['Cc1nc(N)sc1C']; [0.999971271]
-Cc1cnc(-c2cccc(-n3nccn3)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C)o2)nc1; [None]; [None]; [0]
-COc1cc(-c2ncc(C)cn2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ncc(C)cn2)c1; [None]; [None]; [0]
-Cc1cnc(NC(=O)c2ccco2)nc1; ['Cc1cnc(N)nc1']; ['O=C(Cl)c1ccco1']; [0.99632448]
-Cc1cnc(Cc2ccc(C(N)=O)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(Cc2ccc(S(=O)(=O)CCO)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc(F)cc3c2OCOC3)nc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ncc(C)cn2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ncc(C)cn2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ncc(C)cn2)c1; ['COc1cc(OC)cc(B(O)O)c1']; ['Cc1cnc(Cl)nc1']; [0.998462796]
-Cc1cnc([C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)nc1; [None]; [None]; [0]
-COc1ccc2oc(-c3ncc(C)cn3)cc2c1; [None]; [None]; [0]
-Cc1cnc(NC(=O)c2ccc(C(C)(C)C)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C[NH+](C)C)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc3cn[nH]c3c2)nc1; [None]; [None]; [0]
-Cc1cnc(OC(C)C)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ncc(C)cn2)c1; [None]; [None]; [0]
-Cc1cnc(-c2cc(-c3cccnc3)ccn2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2nc(C)nc3ccsc23)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc(Br)cn2C)nc1; [None]; [None]; [0]
-CCn1cc(-c2ncc(C)cn2)cn1; [None]; [None]; [0]
-COC(=O)Nc1ncc(C)cn1; ['COC(=O)Cl']; ['Cc1cnc(N)nc1']; [0.999360502]
-Cc1cnc(-c2cc3ccccc3o2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ncc3sccc3n2)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncc(C)cn2)cc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ncc3cc(Cl)ccc3n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cn(C)nc2C(C)C)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(OC(F)(F)F)cc2)nc1; ['Cc1cncnc1']; ['FC(F)(F)Oc1ccc(I)cc1']; [0.999035]
-COc1ccc2nc(-c3ncc(C)cn3)[nH]c2c1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(NC(=O)N3CCCC3)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(N3CCC[C@@H]3C)n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cscn2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C(=O)[O-])c(Cl)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cc(C)c(OCCO)c(C)c2)nc1; [None]; [None]; [0]
-CCc1cccc(-c2ncc(C)cn2)n1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C)c(C)n2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc3c(C)n[nH]c3c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(N(C)C)nc2)nc1; [None]; [None]; [0]
-Cc1cnc(C2CCC(F)(F)CC2)nc1; [None]; [None]; [0]
-Cc1cnc(CCC[NH+](C)C)nc1; [None]; [None]; [0]
-Cc1cnc(-c2cccc(N3CCCC3=O)c2)nc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(CCO)cc2)nc1; [None]; [None]; [0]
-Cc1cnc(C2CCS(=O)(=O)CC2)nc1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(N3CCOCC3)cc2C)nc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1ncc(C)cn1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C(=O)N(C)C)cc2Cl)nc1; [None]; [None]; [0]
-Cc1cnc(Nc2ccc(F)cn2)nc1; ['Cc1cnc(Cl)nc1', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1']; ['Nc1ccc(F)cn1', 'Fc1ccc(Br)nc1', 'Fc1ccc(Cl)nc1']; [0.999843121, 0.999843121, 0.999843121]
-CCNC(=O)c1ccc(-c2ncc(C)cn2)cc1; [None]; [None]; [0]
-Cc1cnc(-c2cc(S(C)(=O)=O)ccc2Cl)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncc(C)cn2)c(OC)c1; [None]; [None]; [0]
-Cc1cnc(Nc2ccccn2)nc1; ['Cc1cnc(N)nc1', 'Brc1ccccn1']; ['Clc1ccccn1', 'Cc1cnc(N)nc1']; [0.999265969, 0.999265969]
-Cc1cnc(OCCC[NH+](C)C)nc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2ncc(Cl)cn2)cc1; ['CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1']; ['Clc1cnc(Cl)nc1', 'CSc1ncc(Cl)cn1']; [0.998657584, 0.998657584]
-Cc1cnc(-c2cc(C(=O)NCCO)ccc2C)nc1; [None]; [None]; [0]
-Clc1cnc(Nc2ccc(N3CCOCC3)cc2)nc1; ['Clc1cnc(Br)nc1']; ['Nc1ccc(N2CCOCC2)cc1']; [0.999905467]
-CNC(=O)c1ccc(C)c(-c2ncc(C)cn2)c1; [None]; [None]; [0]
-COc1cccc(N2CCC(Nc3ncc(Cl)cn3)CC2)c1; ['COc1cccc(N2CCC(=O)CC2)c1']; ['Nc1ncc(Cl)cn1']; [0.998668551]
-O=C(Nc1cccc(Nc2ncc(Cl)cn2)c1)C1CC1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2ncc(Cl)cn2)cc1; ['Clc1cnc(Cl)nc1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.977574289]
-CS(=O)(=O)Nc1ccc(Nc2ncc(Cl)cn2)cn1; [None]; [None]; [0]
-Clc1cnc(Nc2ccccc2)nc1; ['Clc1cnc(Cl)nc1']; ['Nc1ccccc1']; [0.995925188]
-O=C(c1ccc(Nc2ncc(Cl)cn2)cc1)N1CCOCC1; ['Clc1cnc(I)nc1', 'Nc1ncc(Cl)cn1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.999993801, 0.999993801]
-O=C(c1ccc(Nc2ncc(Cl)cn2)nc1)N1CCOCC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2ncc(Cl)cn2)cc1; [None]; [None]; [0]
-Clc1cnc(NC2CCCCC2)nc1; ['Clc1cnc(Br)nc1', 'Clc1cnc(I)nc1', 'CSc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1']; ['NC1CCCCC1', 'NC1CCCCC1', 'NC1CCCCC1', 'O=C1CCCCC1']; [0.999841094, 0.999841094, 0.999841094, 0.999841094]
-CN(C)S(=O)(=O)c1ccc(Nc2ncc(Cl)cn2)cc1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](Nc2ncc(Cl)cn2)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(Nc2ncc(Cl)cn2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1']; ['Clc1cnc(Cl)nc1']; [0.998969436]
-C[C@@H](O)COc1ccc(Nc2ncc(Cl)cn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2ncc(Cl)cn2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['Clc1cnc(Cl)nc1']; [0.993984044]
-CS(=O)(=O)N1CCC(Nc2ncc(Cl)cn2)CC1; ['CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1']; ['Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1']; [0.999979734, 0.999979734]
-COc1cc(OC)c(Nc2ncc(Cl)cn2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N']; ['Clc1cnc(I)nc1']; [0.995748222]
-Cc1c(Nc2ncc(Cl)cn2)cccc1C(=O)[O-]; [None]; [None]; [0]
-Cc1cc(Nc2ncc(Cl)cn2)sn1; ['Cc1cc(N)sn1']; ['Clc1cnc(Cl)nc1']; [0.9911533]
-Clc1cnc(Nc2cc(-c3ccccc3)[nH]n2)nc1; ['Clc1cnc(Cl)nc1']; ['Nc1cc(-c2ccccc2)[nH]n1']; [0.992876172]
-Clc1cnc(Nc2cc(N3CCOCC3)ccn2)nc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](Nc2ncc(Cl)cn2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3ncc(Cl)cn3)CC2)c1; [None]; [None]; [0]
-Clc1cnc(Nc2cccnc2Oc2ccccc2)nc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ncc(Cl)cn2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Clc1cnc(Cl)nc1', 'Nc1ncc(Cl)cn1']; [0.997653425, 0.997653425]
-COc1cc(N2CCOCC2)ccc1Nc1ncc(Cl)cn1; ['COc1cc(N2CCOCC2)ccc1N']; ['Clc1cnc(Br)nc1']; [0.999862313]
-CC(C)(C)c1ccc(Nc2ncc(Cl)cn2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2ncc(Cl)cn2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(Nc3ncc(Cl)cn3)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1ncc(Cl)cn1']; [0.953574359]
-COCCNc1ncc(Cl)cn1; ['COCCN', 'COCCN']; ['Clc1cnc(I)nc1', 'CSc1ncc(Cl)cn1']; [0.999841213, 0.999841213]
-COc1cccc(C(=O)NNc2ncc(Cl)cn2)c1; [None]; [None]; [0]
-Clc1cnc(NC2CCOCC2)nc1; ['Clc1cnc(Cl)nc1', 'NC1CCOCC1']; ['NC1CCOCC1', 'O=c1ncc(Cl)c[nH]1']; [0.999922633, 0.999922633]
-Clc1cnc(Nc2ncc3cccn3n2)nc1; [None]; [None]; [0]
-COc1cc(Nc2ncc(Cl)cn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Clc1cnc(Nc2ccc(N3CCCCC3)cc2)nc1; ['Clc1cnc(I)nc1', 'Clc1cnc(Br)nc1']; ['Nc1ccc(N2CCCCC2)cc1', 'Nc1ccc(N2CCCCC2)cc1']; [0.999568641, 0.999568641]
-CC1(C)Cc2cc(Nc3ncc(Cl)cn3)ccc2O1; [None]; [None]; [0]
-Clc1cnc(Nc2cc3ccccn3n2)nc1; [None]; [None]; [0]
-Cc1csc2c(Nc3ncc(Cl)cn3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1ncc(Cl)cn1']; [0.998951674]
-Clc1cnc(Nc2ncc(Cl)cn2)nc1; ['Clc1cnc(Br)nc1']; ['Nc1ncc(Cl)cn1']; [0.945970833]
-Clc1cnc(Nc2cccc(-n3nccn3)c2)nc1; ['Clc1cnc(Cl)nc1']; ['Nc1cccc(-n2nccn2)c1']; [0.999723494]
-CCNC(=O)N1CCC(Nc2ncc(Cl)cn2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(Nc3ncc(Cl)cn3)c1)OCOC2; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2ncc(Cl)cn2)CC1; [None]; [None]; [0]
-COc1ccc2oc(Nc3ncc(Cl)cn3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(Nc2ncc(Cl)cn2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](Nc2ncc(Cl)cn2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2ncc(Cl)cn2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1', 'CNC(=O)c1ccc(OC)c(N)c1']; ['Nc1ncc(Cl)cn1', 'Clc1cnc(Cl)nc1']; [0.996288538, 0.996288538]
-Cc1nc(Nc2ncc(Cl)cn2)c2sccc2n1; [None]; [None]; [0]
-Clc1cnc(Nc2cc(-c3cccnc3)ccn2)nc1; [None]; [None]; [0]
-Clc1cnc(Nc2ncc3sccc3n2)nc1; [None]; [None]; [0]
-Clc1cnc(Nc2ncc3cc(Cl)ccc3n2)nc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2ncc(Cl)cn2)cc1; [None]; [None]; [0]
-COc1ccc2nc(Nc3ncc(Cl)cn3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2ncc(Cl)cn2)c1)N1CCCC1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2ncc(Cl)cn2)cc1Cl; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(Nc2ncc(Cl)cn2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(Nc3ncc(Cl)cn3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['Nc1ncc(Cl)cn1']; [0.998164833]
-Cn1cc(Nc2ncc(Cl)cn2)c2ccccc21; [None]; [None]; [0]
-Cc1cc(Nc2ncc(Cl)cn2)cc(C)c1OCCO; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1Nc1ncc(Cl)cn1; ['COc1cc(N2CCC(O)CC2)ccc1N']; ['Clc1cnc(Cl)nc1']; [0.999224067]
-CN(C)c1ccc(Nc2ncc(Cl)cn2)cn1; ['CN(C)c1ccc(Br)cn1']; ['Nc1ncc(Cl)cn1']; [0.944999337]
-O=S1(=O)CCC(Nc2ncc(Cl)cn2)CC1; ['Clc1cnc(Br)nc1', 'CS(=O)c1ncc(Cl)cn1']; ['NC1CCS(=O)(=O)CC1', 'NC1CCS(=O)(=O)CC1']; [0.999961734, 0.999961734]
-FC1(F)CCC(Nc2ncc(Cl)cn2)CC1; ['Clc1cnc(I)nc1']; ['NC1CCC(F)(F)CC1']; [0.999999285]
-CNC(=O)c1ccc(Nc2ncc(Cl)cn2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['Nc1ncc(Cl)cn1']; [0.98914367]
-Cc1cc(N2CCOCC2)ccc1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)Nc1ncc(Cl)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ncc(Cl)cn2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2ncc(Cl)cn2)cc1; ['CCNC(=O)c1ccc(I)cc1']; ['Nc1ncc(Cl)cn1']; [0.918303788]
-CNC(=O)c1ccc(C)c(Nc2ncc(Cl)cn2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc(N)ncc3Cl)CC2)c1; [None]; [None]; [0]
-Nc1cc(-c2ncc3ccccc3n2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc(N3CCOCC3)cc2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccccc2)c(Cl)cn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc(N)ncc2Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)C3CC3)c2)c(Cl)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)[O-])cc2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)c(Cl)cn1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1cc(Cl)c(Cl)cn1']; [0.999725878]
-Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(C2CCCCC2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)C1CCCCC1']; [0.999958038]
-CS(=O)(=O)N1CCC(c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)c(Cl)cn1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)ncc2Cl)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(N)ncc2Cl)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cc(N)ncc2Cl)sn1; [None]; [None]; [0]
-Nc1cc(-c2cc(N3CCOCC3)ccn2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cc(-c3ccccc3)[nH]n2)c(Cl)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc(N)ncc3Cl)CC2)c1; [None]; [None]; [0]
-Nc1cc(-c2cccnc2Oc2ccccc2)c(Cl)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.999994278]
-Nc1cc([C@@H]2CC[C@@H]([NH3+])CC2)c(Cl)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(N)ncc2Cl)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-COCCc1cc(N)ncc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc(N)ncc2Cl)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(N)ncc3Cl)cc2)CC1; [None]; [None]; [0]
-Nc1cc(C2CCOCC2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ncc3cccn3n2)c(Cl)cn1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc(N)ncc3Cl)ccc2O1; [None]; [None]; [0]
-COc1cc(-c2cc(N)ncc2Cl)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccn3n2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc(N3CCCCC3)cc2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ncc(Cl)cn2)c(Cl)cn1; [None]; [None]; [0]
-Cc1csc2c(-c3cc(N)ncc3Cl)ncnc12; [None]; [None]; [0]
-Nc1cc(-c2cccc(-n3nccn3)c2)c(Cl)cn1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
-Nc1cc(-c2cc(F)cc3c2OCOC3)c(Cl)cn1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(N)ncc3Cl)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc(N)ncc2Cl)c1; [None]; [None]; [0]
-Nc1cc(-c2cc(-c3cccnc3)ccn2)c(Cl)cn1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-Nc1cc(-c2ncc3sccc3n2)c(Cl)cn1; [None]; [None]; [0]
-Cc1nc(-c2cc(N)ncc2Cl)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-Nc1cc(-c2ncc3cc(Cl)ccc3n2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)[O-])c(Cl)c2)c(Cl)cn1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)ncc2Cl)c2ccccc21; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(N)ncc3Cl)[nH]c2c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)ncc2Cl)cn1; ['CN(C)c1ccc(Br)cn1']; ['Nc1cc(Br)c(Cl)cn1']; [0.99075073]
-Cc1cc(-c2cc(N)ncc2Cl)cc(C)c1OCCO; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc(N)ncc2Cl)n1; [None]; [None]; [0]
-Nc1cc(C2CCS(=O)(=O)CC2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(C2CCC(F)(F)CC2)c(Cl)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc(N)ncc3Cl)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)ncc2Cl)c(Cl)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cc(N)ncc1Cl; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)ncc2Cl)c(OC)c1; [None]; [None]; [0]
-COC(C)(C)CCc1cc(N)ncc1Cl; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc(N)ncc2Cl)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc(N)ncc2Cl)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc(N)ncc1Cl; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2ccccc2C(=O)[O-])c(Cl)cn1; [None]; [None]; [0]
-Cc1cccc(-c2cc(N)ncc2Cl)c1; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1cc(Cl)c(Cl)cn1']; [0.998945653]
-CP(C)(=O)c1ccccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc([C@@H]2CC[C@@H](CO)OC2)c(Cl)cn1; [None]; [None]; [0]
-COc1cnc(-c2cc(N)ncc2Cl)nc1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc(N)ncc2Cl)cs1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-CC(C)C(=O)COc1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(CC2CCCCC2)c(Cl)cn1; [None]; [None]; [0]
-CCC(C)(C)c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2cccc(Cn3cncn3)c2)c(Cl)cn1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc(N)ncc2Cl)s1; [None]; [None]; [0]
-Nc1cc(-c2cccc(CC(=O)[O-])c2)c(Cl)cn1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(NCCc2c[nH]cn2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(NCCc2ccccc2)c(Cl)cn1; ['NCCc1ccccc1']; ['Nc1cc(Cl)c(Cl)cn1']; [0.896408916]
-Cn1cc(-c2ccc(-c3cc(N)ncc3Cl)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(N)ncc3Cl)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['Nc1cc(Br)c(Cl)cn1']; [0.999999642]
-CCCCc1cc(N)ncc1Cl; [None]; [None]; [0]
-CCCn1cnc(-c2cc(N)ncc2Cl)n1; [None]; [None]; [0]
-Nc1cc(CCC[NH3+])c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(N)[nH]nc3c2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc([C@@H]2CCC[C@H]([NH3+])C2)c(Cl)cn1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cc(N)ncc1Cl; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2csc3ncncc23)c(Cl)cn1; [None]; [None]; [0]
-CSc1nc(-c2cc(N)ncc2Cl)c[nH]1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cc(N)ncc2Cl)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9997316, 0.9997316]
-Nc1cc(OC(F)(F)F)c(Cl)cn1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc(N)ncc3Cl)cc2s1; [None]; [None]; [0]
-C[C@H](c1cc(N)ncc1Cl)C(F)(F)F; [None]; [None]; [0]
-Nc1cc(-c2cc[nH]c(=O)c2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cnn3ccccc23)c(Cl)cn1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)ncc2Cl)cc(OC)c1; [None]; [None]; [0]
-Nc1cc(-c2ccn([C@@H2]CO)c(=O)c2)c(Cl)cn1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2cnc3[nH]ccc3c2)c(Cl)cn1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1']; [0.999999404]
-CNC(=O)c1c(F)cccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2ccc(Cl)c(C(=O)[O-])c2)c(Cl)cn1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
-CC1(c2cc(N)ncc2Cl)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Nc1cc([C@@H]2CC[C@@H](NC(=O)O)C2)c(Cl)cn1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)ncc2Cl)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Nc1cc(-n2cnc(CCO)c2)c(Cl)cn1; [None]; [None]; [0]
-C[C@H](Nc1cc(N)ncc1Cl)C(C)(C)C; [None]; [None]; [0]
-Nc1cc(-n2ccc(CO)n2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OCc1cc[nH]n1']; [0.999707162]
-C[C@@H](Nc1cc(N)ncc1Cl)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cc(N)ncc1Cl)C(C)(C)O; [None]; [None]; [0]
-Nc1cc(-c2nc[nH]n2)c(Cl)cn1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc(N)ncc2Cl)[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ccc(-n3cncn3)cc2)c(Cl)cn1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cc(N)ncc1Cl; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Cn1cnnc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(-c2nncn2C2CC2)c(Cl)cn1; [None]; [None]; [0]
-C[C@@H](Nc1cc(N)ncc1Cl)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Nc1cc(F)c(Cl)cn1']; [0.986075]
-Nc1cc(CCC(=O)NCc2ccccn2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cn(Cc3ccccc3)nn2)c(Cl)cn1; [None]; [None]; [0]
-CCCCc1cc(-c2cc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
-CCc1cc(-c2cc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cc(N)ncc1Cl; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)ncc2Cl)s1; [None]; [None]; [0]
-Nc1cc(-c2csc(N3CCOCC3)n2)c(Cl)cn1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)ncc2Cl)c(=O)n1C; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc(N)ncc2Cl)[nH]1; [None]; [None]; [0]
-Nc1cc(CC2CCOCC2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2ncc3cc[nH]c3n2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(O[C@@H]2CC[C@H](O)CC2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(-c2cnccc2N2CCOCC2)c(Cl)cn1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc(N)ncc2Cl)cnn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc(N)ncc1Cl; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(O)cc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnn(C)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccccc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccncc3)ncnc2c1; [None]; [None]; [0]
-CCc1ccc(-c2ncnc3cc(OC)ccc23)cc1; [None]; [None]; [0]
-COc1ccc2c(-c3cn[nH]c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cccc4ncccc34)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3n[nH]c4ccccc34)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(Cl)c(O)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c(F)cccc3F)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(F)cc3C)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3nc4ccccc4n3C)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(Oc3ccc(F)cc3)ncnc2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ncnc3cc(OC)ccc23)cc1; [None]; [None]; [0]
-COc1ccc2c(-c3c(Cl)cccc3Cl)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C(N)=O)cc3F)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(O)cc3Cl)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccccc3C)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccnc(N)n3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c([C@@H]3C[C@H](O)C3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C(N)=O)cc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cn[nH]c3Cl)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnc(C)[nH]3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc[nH]c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C(=O)[O-])cc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnc(C#N)cn3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccccc3Cl)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnccn3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(O)c(OC)c3)ncnc2c1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ncnc3cc(OC)ccc23)o1; [None]; [None]; [0]
-COc1ccc2c(CCc3ccc(O)c(OC)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C#N)cc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C#N)nc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccoc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cccc(Br)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-n3ccc(CC(=O)[O-])c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(COc3cccc(Cl)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cccs3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccncn3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(CCCO)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(O)cc3O)ncnc2c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ncnc3cc(OC)ccc23)c1; [None]; [None]; [0]
-COc1ccc2c([C@H](CO)c3ccccc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(COc3ccccc3Cl)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(F)c(Cl)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(CCc3ccc(Cl)cc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c(C)ccc4[nH]ncc34)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(O)ccc3C)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c(Cl)ccc4c3OCO4)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C)c(C)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(O)ccc3Cl)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnc(O)c(Cl)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(CO)ccc3C)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c[nH]c(C(N)=O)c3)ncnc2c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ncnc3cc(OC)ccc23)c1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ncnc4cc(OC)ccc34)ccc12; [None]; [None]; [0]
-COCCCc1ncnc2cc(OC)ccc12; [None]; [None]; [0]
-COc1ccc2c(Cn3ccccc3=O)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(OC)c(OC)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc4nc(C)[nH]c4c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3nnc(C)o3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(NC(N)=O)cc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3nnco3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(S(C)(=O)=O)cc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnc4[nH]ccc4c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3nc4ccccc4s3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cncc(O)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(C3CCOCC3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c([C@H](C)CC(N)=O)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc4c(c3)CC(=O)N4)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c([C@@H]3CC[C@H](C(N)=O)CC3)ncnc2c1; [None]; [None]; [0]
-CNc1nccc(-c2ncnc3cc(OC)ccc23)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ncnc2cc(OC)ccc12; [None]; [None]; [0]
-COc1ccc2c(-c3ncc(F)cn3)ncnc2c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ncnc2cc(OC)ccc12; [None]; [None]; [0]
-COc1ccc2c(-c3c(C)cccc3C)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(Br)o3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(O)cc3C)ncnc2c1; [None]; [None]; [0]
-CCc1sccc1-c1ncnc2cc(OC)ccc12; [None]; [None]; [0]
-COc1ccc2c(-n3ccnc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(N(C)c3cccc(Cl)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc4c(c3)CCN4)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3nccs3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(Cl)c(O)c(Cl)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(N)[nH]n3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc4[nH]c(=O)[nH]c4c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3nncs3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(N)n[nH]3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(Nc3ccncc3)ncnc2c1; ['COc1ccc2c(=O)[nH]cnc2c1']; ['Nc1ccncc1']; [0.9990201]
-COc1ccc2c(-c3cccc([O-])c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c(N)cnn3C)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3[nH]nc4ccc(F)cc34)ncnc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncnc3cc(OC)ccc23)cc1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(Br)cc3F)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3nc(C)cs3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C)nc3C)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3[nH]nc(C)c3C)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C)c(C)n3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(O)cc(Br)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnco3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(F)c(O)c(F)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C(=O)NC4CC4)cc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc(C(N)=O)c(C)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ccc4c(=O)[nH][nH]c4c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(OCc3ccccc3)ncnc2c1; ['COc1ccc2c(=O)[nH]cnc2c1']; ['OCc1ccccc1']; [0.980386674]
-COc1ccc2c(-c3ccc4nc(C)oc4c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cccc(SC)c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(OCc3cccc4ccccc34)ncnc2c1; ['COc1ccc2c(=O)[nH]cnc2c1']; ['ClCc1cccc2ccccc12']; [0.980437]
-COc1ccc2c(-c3[nH]cnc3-c3ccc(F)cc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(Oc3ccc(F)cc3F)ncnc2c1; ['COc1ccc2c(=O)[nH]cnc2c1']; ['Oc1ccc(F)cc1F']; [0.999880791]
-COc1ccc2c(-c3ccc(F)cc3Cl)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3c(-c4ccccc4)noc3C)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(OCc3ccc(F)cc3F)ncnc2c1; ['COc1ccc2c(=O)[nH]cnc2c1']; ['OCc1ccc(F)cc1F']; [0.996845663]
-COc1ccc2c(CCc3c[nH]c4ccccc34)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(Oc3ccccc3F)ncnc2c1; ['COc1ccc2c(=O)[nH]cnc2c1']; ['Oc1ccccc1F']; [0.998804212]
-COc1ccc2c(NCc3c(F)cccc3Cl)ncnc2c1; ['COc1ccc2c(=O)[nH]cnc2c1']; ['NCc1c(F)cccc1Cl']; [0.999609768]
-COc1ccc2c(Cc3ccc(F)cc3)ncnc2c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cncc(Br)c2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['OB(O)c1cncc(Br)c1']; [0.99979049]
-COc1ccc2c(-c3cn[nH]c3-c3ccc(Cl)cc3)ncnc2c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cncc(Br)c3)c2c1; ['Cc1ccc2nc[nH]c2c1']; ['Fc1cncc(Br)c1']; [0.999788463]
-COc1cccc(N2CCC(c3cncc(Br)c3)CC2)c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cncc(Br)c2)c1)C1CC1; [None]; [None]; [0]
-COc1ccc2c(CCc3ccc(F)cc3F)ncnc2c1; [None]; [None]; [0]
-Brc1cncc(-c2ccccc2)c1; ['Ic1ccccc1', 'Brc1cncc(Br)c1']; ['OB(O)c1cncc(Br)c1', 'Ic1ccccc1']; [0.997947276, 0.997947276]
-Brc1cncc(-c2ncc3ccccc3n2)c1; ['Clc1ncc2ccccc2n1']; ['OB(O)c1cncc(Br)c1']; [0.999248087]
-Brc1cncc(-c2ccc(N3CCOCC3)cc2)c1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1cncc(Br)c1']; [0.999999762, 0.999999762, 0.999999762]
-CS(=O)(=O)Nc1ccc(-c2cncc(Br)c2)cn1; [None]; [None]; [0]
-O=C(c1ccc(-c2cncc(Br)c2)cc1)N1CCOCC1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C']; ['O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.999854922]
-O=c1c2ccccc2cnn1-c1cncc(Br)c1; ['Brc1cncc(Br)c1', 'Brc1cncc(I)c1']; ['O=c1[nH]ncc2ccccc12', 'O=c1[nH]ncc2ccccc12']; [0.979600966, 0.979600966]
-O=C([O-])c1ccc(-c2cncc(Br)c2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cncc(Br)c2)nc1)N1CCOCC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cncc(Br)c2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cncc(Br)c2)cc1; [None]; [None]; [0]
-Brc1cncc(Cc2ccccc2)c1; ['Br[Zn]Cc1ccccc1']; ['Brc1cncc(Br)c1']; [0.918394387]
-CN(C)S(=O)(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; [0.999991655, 0.999991655]
-Brc1cncc(C2CCCCC2)c1; ['BrC1CCCCC1']; ['Brc1cncc(Br)c1']; [0.989913583]
-CNS(=O)(=O)Cc1cncc(Br)c1; [None]; [None]; [0]
-Brc1cncc(Cc2cncnc2)c1; [None]; [None]; [0]
-Nc1ncc(Cc2cncc(Br)c2)cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cncc(Br)c2)CC1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cncc(Br)c2)cc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C']; ['CCNS(=O)(=O)c1ccc(Br)cc1']; [0.999925852]
-Cc1c(C(=O)[O-])cccc1-c1cncc(Br)c1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cncc(Br)c2)C1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cncc(Br)c2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cncc(Br)c2)sn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cncc(Br)c2)cc1Cl; [None]; [None]; [0]
-Brc1cncc(-c2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
-Brc1cncc(-c2cc(N3CCOCC3)ccn2)c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cncc(Br)c3)CC2)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cncc(Br)c1; ['CC(C)(C)N=C=O']; ['Nc1cncc(Br)c1']; [0.999914408]
-CN(C)C(=O)c1ccc(-c2cncc(Br)c2)cc1; ['CN(C)C(=O)c1ccc(Br)cc1']; ['OB(O)c1cncc(Br)c1']; [0.999648809]
-Brc1cncc(-c2cccnc2Oc2ccccc2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cncc(Br)c2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cncc(Br)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cncc(Br)c2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cncc(Br)c2)CC1; [None]; [None]; [0]
-Brc1cncc(C2CCOCC2)c1; ['BrC1CCOCC1']; ['Brc1cncc(Br)c1']; [0.99298805]
-COc1cccc(C(=O)Nc2cncc(Br)c2)c1; ['Brc1cncc(I)c1']; ['COc1cccc(C(N)=O)c1']; [0.999971867]
-CCCCCc1cncc(Br)c1; ['Brc1cncc(Br)c1', 'CCCCI']; ['CCCCCI', 'Cc1cncc(Br)c1']; [0.921762168, 0.921762168]
-CCN1CCN(Cc2ccc(-c3cncc(Br)c3)cc2)CC1; [None]; [None]; [0]
-Brc1cncc(CCCn2cncn2)c1; [None]; [None]; [0]
-CC[NH+](CC)c1cncc(Br)c1; [None]; [None]; [0]
-Brc1cncc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
-Brc1cncc(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
-COc1cc(-c2cncc(Br)c2)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cncc(Br)c3)ccc2O1; [None]; [None]; [0]
-Brc1cncc(-c2ccc(N3CCCCC3)cc2)c1; ['Brc1cncc(Br)c1']; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C']; [0.999998]
-Clc1cnc(-c2cncc(Br)c2)nc1; ['Clc1cnc(Cl)nc1']; ['OB(O)c1cncc(Br)c1']; [0.998734415]
-COc1ccc(OC)c(Cc2cncc(Br)c2)c1; ['Brc1cncc(Br)c1']; ['COc1ccc(OC)c(CCl)c1']; [0.997736692]
-Cc1csc2c(-c3cncc(Br)c3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['OB(O)c1cncc(Br)c1']; [0.998621941]
-Brc1cncc(-c2cccc(-n3nccn3)c2)c1; [None]; [None]; [0]
-O=C(Nc1cncc(Br)c1)c1ccco1; ['Nc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['O=C(Cl)c1ccco1', 'NC(=O)c1ccco1', 'NC(=O)c1ccco1']; [0.999982238, 0.999982238, 0.999982238]
-NC(=O)c1ccc(Cc2cncc(Br)c2)cc1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cncc(Br)c2)cc1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cncc(Br)c3)c1)OCOC2; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cncc(Br)c2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cncc(Br)c2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cncc(Br)c2)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3cncc(Br)c3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cncc(Br)c2)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['CNC(=O)c1ccc(OC)c(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.99966228, 0.99966228]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cncc(Br)c2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cncc(Br)c2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1']; ['Nc1cncc(Br)c1', 'Nc1cncc(Br)c1']; [0.99999845, 0.99999845]
-Cc1nc(-c2cncc(Br)c2)c2sccc2n1; [None]; [None]; [0]
-Brc1cncc(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cncc(Br)c1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cncc(Br)c3)ncc2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cncc(Br)c1; [None]; [None]; [0]
-Brc1cncc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
-COc1ccc2nc(-c3cncc(Br)c3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=C(O)c1cncc(Br)c1']; [0.98630476]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cncc(Br)c2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cncc(Br)c2)c1)N1CCCC1; [None]; [None]; [0]
-Cn1cc(-c2cncc(Br)c2)c2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cncc(Br)c2)cc1Cl; [None]; [None]; [0]
-FC(F)(F)Oc1cncc(Br)c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cncc(Br)c3)ccc21; ['Brc1cncc(Br)c1']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999986768]
-Cc1cc(-c2cncc(Br)c2)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cncc(Br)c3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1cncc(Br)c1']; [0.998326123]
-C[C@H]1CCCN1c1cccc(-c2cncc(Br)c2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cncc(Br)c2)cn1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CN(C)c1ccc(Br)cn1']; ['CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'OB(O)c1cncc(Br)c1']; [0.999928713, 0.999928713, 0.999928713]
-C[NH+](C)CCCc1cncc(Br)c1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cncc(Br)c2)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cncc(Br)c1; [None]; [None]; [0]
-FC1(F)CCC(c2cncc(Br)c2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cncc(Br)c2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CCNC(=O)c1ccc(Br)cc1']; ['CCNC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1']; [0.999956608, 0.999956608]
-Cc1cc(N2CCOCC2)ccc1-c1cncc(Br)c1; [None]; [None]; [0]
-Brc1cncc(CC2CCOCC2)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cncc(Br)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cncc(Br)c2)c(OC)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C']; ['CNC(=O)c1ccc(Br)c(OC)c1']; [0.999855757]
-Cc1ccc(C(=O)NCCO)cc1-c1cncc(Br)c1; [None]; [None]; [0]
-Oc1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cncc(Br)c2)c1; [None]; [None]; [0]
-Cn1cc(Cc2c[nH]c3ncccc23)cn1; [None]; [None]; [0]
-c1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-c1cnc2[nH]cc(Cc3ccncc3)c2c1; ['OCc1ccncc1']; ['c1cnc2[nH]ccc2c1']; [0.958739698]
-c1cc(Cc2c[nH]c3ncccc23)c2cccnc2c1; ['OCc1cccc2ncccc12']; ['c1cnc2[nH]ccc2c1']; [0.815819919]
-c1cnc2[nH]cc(Cc3cn[nH]c3)c2c1; [None]; [None]; [0]
-Fc1cccc(F)c1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-c1ccc2c(Cc3c[nH]c4ncccc34)n[nH]c2c1; [None]; [None]; [0]
-Oc1cc(Cc2c[nH]c3ncccc23)ccc1Cl; [None]; [None]; [0]
-Cn1c(Cc2c[nH]c3ncccc23)nc2ccccc21; [None]; [None]; [0]
-Cc1cc(F)ccc1Cc1c[nH]c2ncccc12; ['Cc1cc(F)ccc1CO']; ['c1cnc2[nH]ccc2c1']; [0.998406708]
-CNS(=O)(=O)c1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-Clc1cccc(Cl)c1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-Cc1ccccc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2c[nH]c3ncccc23)c(F)c1; [None]; [None]; [0]
-Oc1ccc(Cc2c[nH]c3ncccc23)c(Cl)c1; [None]; [None]; [0]
-Cc1ncc(Cc2c[nH]c3ncccc23)[nH]1; [None]; [None]; [0]
-Nc1nccc(Cc2c[nH]c3ncccc23)n1; [None]; [None]; [0]
-Clc1[nH]ncc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-Clc1ccccc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-O[C@H]1C[C@@H](Cc2c[nH]c3ncccc23)C1; [None]; [None]; [0]
-O=C([O-])c1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-COc1cc(Cc2c[nH]c3ncccc23)ccc1O; [None]; [None]; [0]
-c1cnc2[nH]cc(Cc3cc[nH]c3)c2c1; [None]; [None]; [0]
-N#Cc1cnc(Cc2c[nH]c3ncccc23)cn1; [None]; [None]; [0]
-c1cnc2[nH]cc(Cc3cnccn3)c2c1; [None]; [None]; [0]
-N#Cc1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-COC(=O)c1ccc(Cc2c[nH]c3ncccc23)o1; [None]; [None]; [0]
-N#Cc1ccc(Cc2c[nH]c3ncccc23)cn1; [None]; [None]; [0]
-c1cnc2[nH]cc(Cc3ccoc3)c2c1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
-c1csc(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
-Brc1cccc(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
-Fc1ccc(Cc2c[nH]c3ncccc23)cc1Cl; ['Fc1ccc(CBr)cc1Cl']; ['c1cnc2[nH]ccc2c1']; [0.98220408]
-c1cnc2[nH]cc(Cc3ccncn3)c2c1; [None]; [None]; [0]
-Oc1ccc(Cc2c[nH]c3ncccc23)c(O)c1; [None]; [None]; [0]
-Cc1ccc(O)cc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-Clc1ccccc1OCCc1c[nH]c2ncccc12; [None]; [None]; [0]
-Cc1ccc(Cc2c[nH]c3ncccc23)cc1C; ['Cc1ccc(CO)cc1C']; ['c1cnc2[nH]ccc2c1']; [0.992414773]
-Oc1ccc(Cl)c(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-Cc1ccc(CO)cc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-Clc1ccc2c(c1Cc1c[nH]c3ncccc13)OCO2; [None]; [None]; [0]
-Oc1ncc(Cc2c[nH]c3ncccc23)cc1Cl; [None]; [None]; [0]
-O=c1ccccn1CCc1c[nH]c2ncccc12; [None]; [None]; [0]
-NC(=O)c1cc(Cc2c[nH]c3ncccc23)c[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(Cc3c[nH]c4ncccc34)ccc12; [None]; [None]; [0]
-COc1cc(Cc2c[nH]c3ncccc23)cc(OC)c1; [None]; [None]; [0]
-COc1ccc(Cc2c[nH]c3ncccc23)cc1OC; ['Brc1c[nH]c2ncccc12']; ['COc1ccc(CBr)cc1OC']; [0.992100179]
-Cc1nc2ccc(Cc3c[nH]c4ncccc34)cc2[nH]1; [None]; [None]; [0]
-c1cnc2[nH]cc(Cc3nnco3)c2c1; [None]; [None]; [0]
-Cc1nnc(Cc2c[nH]c3ncccc23)o1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-c1cnc2[nH]cc(Cc3cnc4[nH]ccc4c3)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cc2c[nH]c3ncccc23)cc1; ['CS(=O)(=O)c1ccc(CBr)cc1']; ['c1cnc2[nH]ccc2c1']; [0.841429949]
-c1ccc2sc(Cc3c[nH]c4ncccc34)nc2c1; [None]; [None]; [0]
-c1cnc2[nH]cc(CC3CCOCC3)c2c1; [None]; [None]; [0]
-Oc1cncc(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
-O=C1Cc2cc(Cc3c[nH]c4ncccc34)ccc2N1; [None]; [None]; [0]
-NC(=O)[C@@H]1CC[C@H](Cc2c[nH]c3ncccc23)CC1; [None]; [None]; [0]
-CNc1nccc(Cc2c[nH]c3ncccc23)n1; [None]; [None]; [0]
-Fc1cnc(Cc2c[nH]c3ncccc23)nc1; [None]; [None]; [0]
-CCc1cc(O)ccc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-Brc1ccc(Cc2c[nH]c3ncccc23)o1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-CCc1sccc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-c1cnc2[nH]cc(Cn3ccnc3)c2c1; [None]; [None]; [0]
-Cc1cccc(C)c1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-c1cnc2[nH]cc(Cc3nccs3)c2c1; ['OCc1nccs1']; ['c1cnc2[nH]ccc2c1']; [0.991638243]
-c1cnc2[nH]cc(Cc3ccc4c(c3)CCN4)c2c1; [None]; [None]; [0]
-Oc1c(Cl)cc(Cc2c[nH]c3ncccc23)cc1Cl; [None]; [None]; [0]
-Nc1cc(Cc2c[nH]c3ncccc23)n[nH]1; [None]; [None]; [0]
-O=c1[nH]c2ccc(Cc3c[nH]c4ncccc34)cc2[nH]1; [None]; [None]; [0]
-Fc1cc(Br)ccc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-Nc1cc(Cc2c[nH]c3ncccc23)[nH]n1; [None]; [None]; [0]
-[O-]c1cccc(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
-Cc1n[nH]c(Cc2c[nH]c3ncccc23)c1C; [None]; [None]; [0]
-c1cnc2[nH]cc(Cc3nncs3)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-Cc1ccc(Cc2c[nH]c3ncccc23)nc1C; [None]; [None]; [0]
-Fc1ccc2n[nH]c(Cc3c[nH]c4ncccc34)c2c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-Cc1ccc(Cc2c[nH]c3ncccc23)c(C)n1; [None]; [None]; [0]
-Cc1csc(Cc2c[nH]c3ncccc23)n1; [None]; [None]; [0]
-c1cnc2[nH]cc(Cc3cnco3)c2c1; [None]; [None]; [0]
-Cc1nc2ccc(Cc3c[nH]c4ncccc34)cc2o1; [None]; [None]; [0]
-Oc1cc(Br)cc(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-Oc1c(F)cc(Cc2c[nH]c3ncccc23)cc1F; [None]; [None]; [0]
-Cc1cc(Cc2c[nH]c3ncccc23)ccc1C(N)=O; [None]; [None]; [0]
-CSc1cccc(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
-Fc1ccc(Cc2c[nH]c3ncccc23)c(Cl)c1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(Cc3c[nH]c4ncccc34)ccc12; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
-Cn1cc(-c2cncc(C(=O)[O-])c2)cn1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccncc2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc(O)cc2)c1; [None]; [None]; [0]
-CCc1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cccc3ncccc23)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccccc2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2n[nH]c3ccccc23)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc(Cl)c(O)c2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cn[nH]c2)c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2c(F)cccc2F)c1; [None]; [None]; [0]
-Cc1ccccc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
-Cn1c(-c2cncc(C(=O)[O-])c2)nc2ccccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cncc(C(=O)[O-])c2)c(F)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(Oc2ccc(F)cc2)c1; [None]; [None]; [0]
-Cc1ncc(-c2cncc(C(=O)[O-])c2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2cncc(C(=O)[O-])c2)n1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc(O)cc2Cl)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccccc2Cl)c1; [None]; [None]; [0]
-O=C([O-])c1cncc([C@@H]2C[C@H](O)C2)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
-COc1cc(-c2cncc(C(=O)[O-])c2)ccc1O; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cc[nH]c2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cnccn2)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
-N#Cc1cnc(-c2cncc(C(=O)[O-])c2)cn1; [None]; [None]; [0]
-COc1cc(CCc2cncc(C(=O)[O-])c2)ccc1O; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccoc2)c1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cncc(C(=O)[O-])c2)o1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cccc(Br)c2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(COc2cccc(Cl)c2)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cncc(C(=O)[O-])c2)cn1; [None]; [None]; [0]
-O=C([O-])c1cncc(CCCO)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cccs2)c1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2cncc(C(=O)[O-])c2)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cncc(C(=O)[O-])c2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccncn2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc(O)cc2O)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc(F)c(Cl)c2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc([C@H](CO)c2ccccc2)c1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-O=C([O-])c1cncc(COc2ccccc2Cl)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cc(O)ccc2Cl)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(CCc2ccc(Cl)cc2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cnc(O)c(Cl)c2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cncc(C(=O)[O-])c2)cc1C; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2c(Cl)ccc3c2OCO3)c1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-O=C([O-])c1cncc(Cn2ccccc2=O)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cncc(C(=O)[O-])c2)c1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cncc(C(=O)[O-])c2)c[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cncc(C(=O)[O-])c2)cc1OC; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cncc(C(=O)[O-])c3)ccc12; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2nnco2)c1; [None]; [None]; [0]
-COCCCc1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-Cc1nnc(-c2cncc(C(=O)[O-])c2)o1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cncc(C(=O)[O-])c3)cc2[nH]1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
-O=C([O-])c1cncc(C2CCOCC2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cncc(O)c2)c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cncc(C(=O)[O-])c2)CC1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cncc(C(=O)[O-])c3)ccc2N1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ncc(F)cn2)c1; [None]; [None]; [0]
-CNc1nccc(-c2cncc(C(=O)[O-])c2)n1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc(Br)o2)c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-CCc1sccc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cc(Cl)c(O)c(Cl)c2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-n2ccnc2)c1; [None]; [None]; [0]
-Nc1cc(-c2cncc(C(=O)[O-])c2)[nH]n1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc3c(c2)CCN3)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2nccs2)c1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-Nc1cc(-c2cncc(C(=O)[O-])c2)n[nH]1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc3[nH]c(=O)[nH]c3c2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc(Br)cc2F)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(Nc2ccncc2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2nncs2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2[nH]nc3ccc(F)cc23)c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cncc(C(=O)[O-])c2)c1C; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cccc([O-])c2)c1; [None]; [None]; [0]
-Cc1csc(-c2cncc(C(=O)[O-])c2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cncc(C(=O)[O-])c2)c(C)n1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cc(O)cc(Br)c2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cncc(C(=O)[O-])c2)nc1C; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cnco2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc(C(=O)NC3CC3)cc2)c1; [None]; [None]; [0]
-Cc1cc(-c2cncc(C(=O)[O-])c2)ccc1C(N)=O; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cc(F)c(O)c(F)c2)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cncc(C(=O)[O-])c3)cc2o1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc3c(=O)[nH][nH]c3c2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
-CSc1cccc(-c2cncc(C(=O)[O-])c2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(OCc2ccccc2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(OCc2cccc3ccccc23)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(Oc2ccc(F)cc2F)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(CCc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2ccc(F)cc2Cl)c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
-O=C([O-])c1cncc(Oc2ccccc2F)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(OCc2ccc(F)cc2F)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(Cc2ccc(F)cc2)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(NCc2c(F)cccc2Cl)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(CCc2ccc(F)cc2F)c1; [None]; [None]; [0]
-N#Cc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ncc3ccccc3n2)[nH]n1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CCOc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(CCc3cc(N)n[nH]3)CC2)c1; [None]; [None]; [0]
-COc1ncccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Cc1n[nH]cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Cn1nncc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)n[nH]2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1cc(CCc2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-Cc1nn(C)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cnc3cccnn23)[nH]n1; [None]; [None]; [0]
-COc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(O)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(N3CCOCC3)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2nc3ccccc3[nH]2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(NC(=O)C3CC3)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccccc2)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(CCc2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)[O-])cc2)[nH]n1; [None]; [None]; [0]
-NC(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(CCNc2ncccn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)Nc3ccccc3)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(F)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCCCCO)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCCc2nccc3ccccc23)[nH]n1; [None]; [None]; [0]
-CC(=O)NCc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(C3CCNCC3)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(OCCO)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)N3CCOCC3)cn2)[nH]n1; [None]; [None]; [0]
-Cc1cc(CCc2cc(N)n[nH]2)nn1C; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)N3CCOCC3)cc2)[nH]n1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(F)(F)F)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCC2CCCCC2)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(CCc2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-Nc1cc(CCc2cnc(Cl)nc2)[nH]n1; [None]; [None]; [0]
-Cc1nc(C)c(CCc2cc(N)n[nH]2)s1; [None]; [None]; [0]
-Nc1cc(CCc2cncnc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CC[C@H]2CCN(C(=O)c3ccccc3)C2)[nH]n1; [None]; [None]; [0]
-Cc1c(CCc2cc(N)n[nH]2)cccc1C(=O)[O-]; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Br)cc2)[nH]n1; [None]; [None]; [0]
-COc1ccc(Cl)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-CN(C)c1ccc(CCc2cc(N)n[nH]2)cc1Cl; [None]; [None]; [0]
-Nc1cc(CCc2cn[nH]c2)[nH]n1; [None]; [None]; [0]
-COc1cc(OC)c(CCc2cc(N)n[nH]2)cc1Cl; [None]; [None]; [0]
-Nc1cc(CCc2ccc[nH]2)[nH]n1; [None]; [None]; [0]
-Cc1cc(CCc2cc(N)n[nH]2)sn1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3c(c2)CCO3)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cc(N3CCOCC3)ccn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cc3ccccc3cn2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cccc(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1cc(CCc2cc(-c3ccccc3)[nH]n2)[nH]n1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(CCc3cc(N)n[nH]3)CC2)c1; [None]; [None]; [0]
-Nc1cc(CCc2scc3c2OCCO3)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cccc3c2OCO3)[nH]n1; [None]; [None]; [0]
-Nc1cc(CC[C@H]2CC[C@H]([NH3+])CC2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cccnc2Oc2ccccc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(F)c(F)c2)[nH]n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2cnc3ccccc3c2)[nH]n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(CCc2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](CCc2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)NCCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1cc(CCc2ccco2)[nH]n1; [None]; [None]; [0]
-COCCCCc1cc(N)n[nH]1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(CCc3cc(N)n[nH]3)cc2)CC1; [None]; [None]; [0]
-CSc1cccc(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1cc(CCC2CCOCC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(CCc2cc(N)n[nH]2)nc(N)n1; [None]; [None]; [0]
-Nc1cc(CC[C@H]2CC[C@H](O)CC2)[nH]n1; [None]; [None]; [0]
-CC[C@@H](CO)CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ncc(Br)cn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(F)cc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(CC[C@H]2CC[C@@H](O)C2)[nH]n1; [None]; [None]; [0]
-CCc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Cl)cc2Cl)[nH]n1; [None]; [None]; [0]
-COc1ccc(CCc2cc(N)n[nH]2)cc1OC; [None]; [None]; [0]
-Nc1cc(CCc2ccsc2)[nH]n1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)n[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1cc(CCc2ncc3cccn3n2)[nH]n1; [None]; [None]; [0]
-Cc1cc(C)cc(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1cc(CCc2cc3ccccn3n2)[nH]n1; [None]; [None]; [0]
-Cn1cc(CCc2cc(N)n[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc2cccc(CCc3cc(N)n[nH]3)c2c1; [None]; [None]; [0]
-CC1(C)Cc2cc(CCc3cc(N)n[nH]3)ccc2O1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(N3CCCCC3)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cccc3ccc(O)cc23)[nH]n1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)n[nH]2)ccc1Cl; [None]; [None]; [0]
-COc1cc(F)c(CCc2cc(N)n[nH]2)cc1OC; [None]; [None]; [0]
-Nc1cc(CCc2ncc(Cl)cn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(-n3nccn3)c2)[nH]n1; [None]; [None]; [0]
-Cc1csc2c(CCc3cc(N)n[nH]3)ncnc12; [None]; [None]; [0]
-Cc1ccc(CCc2cc(N)n[nH]2)o1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)n[nH]2)c(OC)cc1Br; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](CCc2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(CCc2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)n[nH]2)cc(OC)c1; [None]; [None]; [0]
-Nc1cc(CCc2cc(F)cc3c2OCOC3)[nH]n1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](CCc2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3cn[nH]c3c2)[nH]n1; [None]; [None]; [0]
-COc1ccc2oc(CCc3cc(N)n[nH]3)cc2c1; [None]; [None]; [0]
-Nc1cc(CCc2cc(-c3cccnc3)ccn2)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1cc(CCc2cc3ccccc3o2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ncc3cc(Cl)ccc3n2)[nH]n1; [None]; [None]; [0]
-Cc1nc(CCc2cc(N)n[nH]2)c2sccc2n1; [None]; [None]; [0]
-Nc1cc(CCc2ncc3sccc3n2)[nH]n1; [None]; [None]; [0]
-COc1ccc2nc(CCc3cc(N)n[nH]3)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(OC(F)(F)F)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)[O-])c(Cl)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(NC(=O)N3CCCC3)c2)[nH]n1; [None]; [None]; [0]
-Cn1cc(CCc2cc(N)n[nH]2)c2ccccc21; [None]; [None]; [0]
-CCc1cccc(CCc2cc(N)n[nH]2)n1; [None]; [None]; [0]
-Nc1cc(CCc2cscn2)[nH]n1; [None]; [None]; [0]
-Cc1ccc(CCc2cc(N)n[nH]2)nc1C; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(CCc2cc(N)n[nH]2)n1; [None]; [None]; [0]
-CN(C)c1ccc(CCc2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(CCc3cc(N)n[nH]3)ccc12; [None]; [None]; [0]
-Nc1cc(CCC2CCC(F)(F)CC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(CCc2cc(N)n[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
-Nc1cc(CCC2CCS(=O)(=O)CC2)[nH]n1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(N3CCCC3=O)c2)[nH]n1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(CCc2cc(N)n[nH]2)c(Cl)c1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(CCO)cc2)[nH]n1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(CCc2cc(N)n[nH]2)c(OC)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
-C[C@@H](CCc1cc(N)n[nH]1)CS(C)(=O)=O; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(O)cc2)[nH]n1; [None]; [None]; [0]
-CCNC(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1cc(CCc2cccc3ncccc23)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Cl)c(O)c2)[nH]n1; [None]; [None]; [0]
-Cc1cc(F)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2c(F)cccc2F)[nH]n1; [None]; [None]; [0]
-Cc1ccccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccncc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2c(Cl)cccc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2n[nH]c3ccccc23)[nH]n1; [None]; [None]; [0]
-Cn1c(CCc2cc(N)n[nH]2)nc2ccccc21; [None]; [None]; [0]
-Nc1cc(CCc2ccc(O)cc2Cl)[nH]n1; [None]; [None]; [0]
-Cc1ncc(CCc2cc(N)n[nH]2)[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(CCc2cc(N)n[nH]2)c(F)c1; [None]; [None]; [0]
-Nc1cc(CC[C@@H]2C[C@H](O)C2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccccc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cc[nH]c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccnc(N)n2)[nH]n1; [None]; [None]; [0]
-N#Cc1cnc(CCc2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-Nc1cc(CCc2cn[nH]c2Cl)[nH]n1; [None]; [None]; [0]
-COC(=O)c1ccc(CCc2cc(N)n[nH]2)o1; [None]; [None]; [0]
-Nc1cc(CCc2ccoc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(Br)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cnccn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCn2ccc(CC(=O)[O-])c2)[nH]n1; [None]; [None]; [0]
-N#Cc1ccc(CCc2cc(N)n[nH]2)cn1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(O)cc2O)[nH]n1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
-Nc1cc(CCc2cccs2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(F)c(Cl)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCCOc2ccccc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccncn2)[nH]n1; [None]; [None]; [0]
-Cc1ccc(CCc2cc(N)n[nH]2)cc1C; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Cc1ccc(O)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Cc1ccc(CO)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2c(Cl)ccc3c2OCO3)[nH]n1; [None]; [None]; [0]
-NC(=O)c1cc(CCc2cc(N)n[nH]2)c[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc(O)ccc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCCn2ccccc2=O)[nH]n1; [None]; [None]; [0]
-Cc1nc2ccc(CCc3cc(N)n[nH]3)cc2[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cnc(O)c(Cl)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2nnco2)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(CCc3cc(N)n[nH]3)ccc12; [None]; [None]; [0]
-NC(=O)Nc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2cnc3[nH]ccc3c2)[nH]n1; [None]; [None]; [0]
-Cc1nnc(CCc2cc(N)n[nH]2)o1; [None]; [None]; [0]
-Nc1cc(CCc2nc3ccccc3s2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cncc(O)c2)[nH]n1; [None]; [None]; [0]
-NC(=O)[C@@H]1CC[C@H](CCc2cc(N)n[nH]2)CC1; [None]; [None]; [0]
-CNc1nccc(CCc2cc(N)n[nH]2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
-CCc1cc(O)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3c(c2)CC(=O)N3)[nH]n1; [None]; [None]; [0]
-Cc1cc(O)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Cc1cccc(C)c1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ncc(F)cn2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Br)o2)[nH]n1; [None]; [None]; [0]
-CCc1sccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc(Cl)c(O)c(Cl)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cc(N)n[nH]2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCn2ccnc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3c(c2)CCN3)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2nccs2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Br)cc2F)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2nncs2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3[nH]c(=O)[nH]c3c2)[nH]n1; [None]; [None]; [0]
-Cc1n[nH]c(CCc2cc(N)n[nH]2)c1C; [None]; [None]; [0]
-Nc1cc(CCc2[nH]nc3ccc(F)cc23)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cc(O)cc(Br)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cccc([O-])c2)[nH]n1; [None]; [None]; [0]
-Cc1csc(CCc2cc(N)n[nH]2)n1; [None]; [None]; [0]
-Cc1ccc(CCc2cc(N)n[nH]2)c(C)n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)NC3CC3)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cnco2)[nH]n1; [None]; [None]; [0]
-Cc1cc(CCc2cc(N)n[nH]2)ccc1C(N)=O; [None]; [None]; [0]
-Nc1cc(CCc2cc(F)c(O)c(F)c2)[nH]n1; [None]; [None]; [0]
-Cc1nc2ccc(CCc3cc(N)n[nH]3)cc2o1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1CCc1cc(N)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc3c(=O)[nH][nH]c3c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2[nH]cnc2-c2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2cn[nH]c2-c2ccc(Cl)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ncc3ccccc3n2)n[nH]1; [None]; [None]; [0]
-COc1cccc(N2CCC(CCc3cc(N)[nH]n3)CC2)c1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(N3CCOCC3)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccccc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(NC(=O)C3CC3)c2)n[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(CCc2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)[O-])cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)N3CCOCC3)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)N3CCOCC3)cn2)n[nH]1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(CCc2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-Nc1cc(CCC2CCCCC2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CC[C@H]2CCN(C(=O)c3ccccc3)C2)n[nH]1; [None]; [None]; [0]
-CN(C)c1ccc(CCc2cc(N)[nH]n2)cc1Cl; [None]; [None]; [0]
-Cc1c(CCc2cc(N)[nH]n2)cccc1C(=O)[O-]; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Cc1cc(CCc2cc(N)[nH]n2)sn1; [None]; [None]; [0]
-Nc1cc(CCc2cc(N3CCOCC3)ccn2)n[nH]1; [None]; [None]; [0]
-COc1cc(OC)c(CCc2cc(N)[nH]n2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(CCc3cc(N)[nH]n3)CC2)c1; [None]; [None]; [0]
-Nc1cc(CC[C@H]2CC[C@H]([NH3+])CC2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc(-c3ccccc3)[nH]n2)n[nH]1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(CCc2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-Nc1cc(CCc2cccnc2Oc2ccccc2)n[nH]1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-COc1cccc(C(=O)NCCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](CCc2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(CCc3cc(N)[nH]n3)cc2)CC1; [None]; [None]; [0]
-COCCCCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCC2CCOCC2)n[nH]1; [None]; [None]; [0]
-COc1cc(CCc2cc(N)[nH]n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1cc(CCc2ncc3cccn3n2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc3ccccn3n2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(N3CCCCC3)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ncc(Cl)cn2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(-n3nccn3)c2)n[nH]1; [None]; [None]; [0]
-CC1(C)Cc2cc(CCc3cc(N)[nH]n3)ccc2O1; [None]; [None]; [0]
-Cc1csc2c(CCc3cc(N)[nH]n3)ncnc12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](CCc2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-Nc1cc(CCc2cc(F)cc3c2OCOC3)n[nH]1; [None]; [None]; [0]
-CCNC(=O)N1CCC(CCc2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-COc1ccc2oc(CCc3cc(N)[nH]n3)cc2c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](CCc2cc(N)[nH]n2)CC1; [None]; [None]; [0]
-Cc1nc(CCc2cc(N)[nH]n2)c2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
-Nc1cc(CCc2cc(-c3cccnc3)ccn2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ncc3sccc3n2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ncc3cc(Cl)ccc3n2)n[nH]1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-COc1ccc2nc(CCc3cc(N)[nH]n3)[nH]c2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)[O-])c(Cl)c2)n[nH]1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(CCc2cc(N)[nH]n2)n1; [None]; [None]; [0]
-Nc1cc(CCc2cccc(NC(=O)N3CCCC3)c2)n[nH]1; [None]; [None]; [0]
-Cc1cc(CCc2cc(N)[nH]n2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(CCc2cc(N)[nH]n2)cn1; [None]; [None]; [0]
-Cn1cc(CCc2cc(N)[nH]n2)c2ccccc21; [None]; [None]; [0]
-Cc1n[nH]c2cc(CCc3cc(N)[nH]n3)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCC2CCS(=O)(=O)CC2)n[nH]1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCC2CCC(F)(F)CC2)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(CCc2cc(N)[nH]n2)c(OC)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(CCc2cc(N)[nH]n2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
-C[C@@H](CCc1cc(N)[nH]n1)CS(C)(=O)=O; [None]; [None]; [0]
-CCNC(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
-Cc1cc(F)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Cn1c(CCc2cc(N)[nH]n2)nc2ccccc21; [None]; [None]; [0]
-Nc1cc(CCc2cn[nH]c2Cl)n[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(CCc2cc(N)[nH]n2)c(F)c1; [None]; [None]; [0]
-Cc1ccccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2c(Cl)ccc3c2OCO3)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCn2ccc(CC(=O)[O-])c2)n[nH]1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-NC(=O)c1cc(CCc2cc(N)[nH]n2)c[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2nnco2)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(CCc3cc(N)[nH]n3)ccc12; [None]; [None]; [0]
-Cc1nnc(CCc2cc(N)[nH]n2)o1; [None]; [None]; [0]
-Nc1cc(CCc2cnc3[nH]ccc3c2)n[nH]1; [None]; [None]; [0]
-CNc1nccc(CCc2cc(N)[nH]n2)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-Nc1cc(CCc2ncc(F)cn2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Br)o2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc(N)[nH]n2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2nncs2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2[nH]nc3ccc(F)cc23)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cccc([O-])c2)n[nH]1; [None]; [None]; [0]
-Cc1n[nH]c(CCc2cc(N)[nH]n2)c1C; [None]; [None]; [0]
-Cc1cc(CCc2cc(N)[nH]n2)ccc1C(N)=O; [None]; [None]; [0]
-Nc1cc(CCc2[nH]cnc2-c2ccc(F)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(C(=O)NC3CC3)cc2)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cn[nH]c2-c2ccc(Cl)cc2)n[nH]1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccccc1; ['CC1(C)OC(=O)CC(=O)O1']; ['COc1ccc(N)cc1-c1ccccc1']; [0.99991]
-Cc1onc(-c2ccccc2)c1CCc1cc(N)[nH]n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccccc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(F)cc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1c(C)ccc2[nH]ncc12; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cn[nH]c1Cl; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cc4nccc(O)c4cc3OC)ccc12; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1nnc(C)o1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1nnco1; [None]; [None]; [0]
-CNc1nccc(-c2cc3nccc(O)c3cc2OC)n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1C1CCOCC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(Br)o1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ncc(F)cn1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc([O-])c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1nncs1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)NC2CC2)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1[nH]nc(C)c1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(N)=O)c(C)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1c(-c2ccccc2)noc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(N(C)C(C)=O)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc4nccc(O)c4cc3OC)CC2)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-n1cnc2ccc(C)cc21; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(NS(C)(=O)=O)nc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-n1ncc2ccccc2c1=O; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(CNC(C)=O)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cc1ccccc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1C1CCCCC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cc1cncnc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cc1cnc(N)nc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc3nccc(O)c3cc2OC)cc1Cl; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(C)ns1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1NC(=O)NC(C)(C)C; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc4nccc(O)c4cc3OC)CC2)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1[C@@H]1CC[C@@H]([NH3+])CC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
-CCCCCc1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-CC[NH+](CC)c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc4nccc(O)c4cc3OC)cc2)CC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(N2CCOCC2)c(OC)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ncc2cccn2n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1CCCn1cncn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc2ccccn2n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ncnc2c(C)csc12; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ncc(Cl)cn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cc1ccc(C(N)=O)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1[C@@H]1CC[C@@H](OC)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc3nccc(O)c3cc2OC)CC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1[C@@H]1CC[C@@H](NC(=O)NC(C)C)CC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1NC(=O)c1ccco1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc4nccc(O)c4cc3OC)cc2c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1NC(=O)c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(Br)cn1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1nc(C)nc2ccsc12; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cn(C)nc1C(C)C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ncc2sccc2n1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc4nccc(O)c4cc3OC)[nH]c2c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)[O-])c(Cl)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1OC(F)(F)F; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(C)c(OCCO)c(C)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cccc(N2CCC[C@@H]2C)n1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(N(C)C)nc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1CCC[NH+](C)C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1C1CCC(F)(F)CC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1C1CCS(=O)(=O)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1CC1CCOCC1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(N2CCOCC2)cc1C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1OCCC[NH+](C)C; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(C(=O)NCCO)ccc1C; [None]; [None]; [0]
-c1ccc(-c2coc3ccccc23)cc1; ['CC(=O)N(C)C', 'Brc1coc2ccccc12', 'O=[N+]([O-])C=Cc1ccccc1']; ['O=C(c1ccccc1)c1ccccc1O', 'OB(O)c1ccccc1', 'Oc1ccccc1']; [0.992478, 0.992478, 0.992478]
-Cc1ccccc1-c1coc2ccccc12; ['Cc1ccccc1C=CC(=O)O']; ['Oc1ccccc1']; [0.984579444]
-Cc1cc(F)ccc1-c1coc2ccccc12; ['Cc1cc(F)ccc1Br']; ['c1ccc2occc2c1']; [0.98661983]
-Cn1c(-c2coc3ccccc23)nc2ccccc21; [None]; [None]; [0]
-Clc1[nH]ncc1-c1coc2ccccc12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2coc3ccccc23)c(F)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2coc3ccccc23)cc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1coc2ccccc12; ['Brc1coc2ccccc12']; ['Cc1ccc2[nH]ncc2c1B(O)O']; [0.996320724]
-O=C([O-])Cc1ccn(-c2coc3ccccc23)c1; [None]; [None]; [0]
-Clc1ccc(CCc2coc3ccccc23)cc1; [None]; [None]; [0]
-COCCCc1coc2ccccc12; [None]; [None]; [0]
-NC(=O)c1cc(-c2coc3ccccc23)c[nH]1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1coc3ccccc13)OCO2; [None]; [None]; [0]
-c1ccc2c(-c3nnco3)coc2c1; [None]; [None]; [0]
-Cc1nnc(-c2coc3ccccc23)o1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3coc4ccccc34)ccc12; [None]; [None]; [0]
-c1ccc2c(C3CCOCC3)coc2c1; [None]; [None]; [0]
-CNc1nccc(-c2coc3ccccc23)n1; [None]; [None]; [0]
-c1ccc2c(-c3cnc4[nH]ccc4c3)coc2c1; ['Brc1coc2ccccc12']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; [0.999996305]
-Brc1ccc(-c2coc3ccccc23)o1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1coc2ccccc12; [None]; [None]; [0]
-Fc1cnc(-c2coc3ccccc23)nc1; [None]; [None]; [0]
-c1ccc2c(-c3nncs3)coc2c1; [None]; [None]; [0]
-Nc1cc(-c2coc3ccccc23)n[nH]1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1coc2ccccc12; [None]; [None]; [0]
-Cc1n[nH]c(-c2coc3ccccc23)c1C; [None]; [None]; [0]
-[O-]c1cccc(-c2coc3ccccc23)c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3coc4ccccc34)c2c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2coc3ccccc23)cc1; ['Brc1coc2ccccc12']; ['O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999768555]
-c1ccc2c(CCc3coc4ccccc34)c[nH]c2c1; [None]; [None]; [0]
-Cc1cc(-c2coc3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2coc3ccccc23)cc1; ['Brc1coc2ccccc12']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.999091625]
-c1ccc2c(COc3coc4ccccc34)cccc2c1; ['ClCc1cccc2ccccc12']; ['Oc1coc2ccccc12']; [0.996152341]
-Fc1ccc(COc2coc3ccccc23)c(F)c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2coc3ccccc23)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1coc2ccccc12; [None]; [None]; [0]
-COC(C)(C)CCc1coc2ccccc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2coc3ccccc23)[nH]1; [None]; [None]; [0]
-Fc1ccc(CCc2coc3ccccc23)c(F)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1coc2ccccc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1coc2ccccc12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1coc2ccccc12; [None]; [None]; [0]
-Cc1cccc(-c2coc3ccccc23)c1; ['Cc1cccc(C=CC(=O)O)c1', 'Cc1cccc(Br)c1']; ['Oc1ccccc1', 'c1ccc2occc2c1']; [0.971488953, 0.971488953]
-CC(C)(C)c1nc(-c2coc3ccccc23)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1coc2ccccc12; [None]; [None]; [0]
-c1ccc2c(C3CCCCC3)coc2c1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2coc3ccccc23)CO1; [None]; [None]; [0]
-c1ccc2c(CC3CCCCC3)coc2c1; [None]; [None]; [0]
-COc1cnc(-c2coc3ccccc23)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1coc2ccccc12; ['CC(C)C(=O)CBr']; ['Oc1coc2ccccc12']; [0.992958426]
-Cc1nc2ccccn2c1-c1coc2ccccc12; ['Brc1coc2ccccc12']; ['Cc1cn2ccccc2n1']; [0.993735254]
-c1cc(Cn2cncn2)cc(-c2coc3ccccc23)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2coc3ccccc23)s1; [None]; [None]; [0]
-CCC(C)(C)c1coc2ccccc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1coc2ccccc12; [None]; [None]; [0]
-c1ccc2c(NCCc3c[nH]cn3)coc2c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2coc3ccccc23)c1; [None]; [None]; [0]
-c1ccc(CCNc2coc3ccccc23)cc1; ['Brc1coc2ccccc12']; ['NCCc1ccccc1']; [0.979742587]
-Cn1ncc2cc(-c3coc4ccccc34)ccc21; ['Brc1coc2ccccc12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.99997139]
-CCCCc1coc2ccccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3coc4ccccc34)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3coc4ccccc34)ccc12; [None]; [None]; [0]
-[NH3+]CCCc1coc2ccccc12; [None]; [None]; [0]
-CCCn1cnc(-c2coc3ccccc23)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1coc2ccccc12; [None]; [None]; [0]
-CC(C)c1oncc1-c1coc2ccccc12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2coc3ccccc23)C1; [None]; [None]; [0]
-CSc1nc(-c2coc3ccccc23)c[nH]1; [None]; [None]; [0]
-FC(F)(F)Oc1coc2ccccc12; [None]; [None]; [0]
-c1ccc2c(-c3csc4ncncc34)coc2c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3coc4ccccc34)cc2s1; [None]; [None]; [0]
-C[C@H](c1coc2ccccc12)C(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2coc3ccccc23)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2coc3ccccc23)CC1; [None]; [None]; [0]
-c1ccc2c(-c3cnn4ccccc34)coc2c1; [None]; [None]; [0]
-O=c1cc(-c2coc3ccccc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(-c2coc3ccccc23)cc[nH]1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1coc2ccccc12; [None]; [None]; [0]
-COc1cc(CCc2coc3ccccc23)cc(OC)c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2coc3ccccc23)ccc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1coc2ccccc12; [None]; [None]; [0]
-CC1(c2coc3ccccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2coc3ccccc23)C1; [None]; [None]; [0]
-c1ccc2c(-c3ccc(N4CCOCC4)cc3)coc2c1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2coc3ccccc23)CC1; [None]; [None]; [0]
-OCCc1cn(-c2coc3ccccc23)cn1; [None]; [None]; [0]
-Cc1cc(-c2coc3ccccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2coc3ccccc23)n1; [None]; [None]; [0]
-C[C@@H](Nc1coc2ccccc12)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1coc2ccccc12)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1coc2ccccc12)C(C)(C)C; ['Brc1coc2ccccc12']; ['C[C@H](N)C(C)(C)C']; [0.988869786]
-c1ccc2c(-c3ccc(-n4cncn4)cc3)coc2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2coc3ccccc23)[nH]1; [None]; [None]; [0]
-c1ccc2c(-c3nc[nH]n3)coc2c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1coc2ccccc12; [None]; [None]; [0]
-CC(C)([NH3+])CNc1coc2ccccc12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1coc2ccccc12; [None]; [None]; [0]
-c1ccc2c(-c3nncn3C3CC3)coc2c1; [None]; [None]; [0]
-Cn1cnnc1-c1coc2ccccc12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1coc2ccccc12; [None]; [None]; [0]
-C[C@@H](Nc1coc2ccccc12)C(C)(C)C; ['Brc1coc2ccccc12']; ['C[C@@H](N)C(C)(C)C']; [0.988869786]
-c1ccc(Cn2cc(-c3coc4ccccc34)nn2)cc1; ['Brc1coc2ccccc12']; ['c1ccc(Cn2ccnn2)cc1']; [0.961618841]
-CCCCc1cc(-c2coc3ccccc23)nc(N)n1; [None]; [None]; [0]
-O=C(CCc1coc2ccccc12)NCc1ccccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2coc3ccccc23)s1; [None]; [None]; [0]
-CCc1cc(-c2coc3ccccc23)nc(N)n1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1coc2ccccc12; [None]; [None]; [0]
-c1ccc2c(CC3CCOCC3)coc2c1; [None]; [None]; [0]
-Cn1cc(-c2coc3ccccc23)c(=O)n1C; [None]; [None]; [0]
-c1ccc2nc(-c3coc4ccccc34)ncc2c1; [None]; [None]; [0]
-c1ccc2c(-c3csc(N4CCOCC4)n3)coc2c1; [None]; [None]; [0]
-c1ccc2c(-c3ncc4cc[nH]c4n3)coc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2coc3ccccc23)[nH]1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2coc3ccccc23)CC1; [None]; [None]; [0]
-c1ccc2c(-c3cnccc3N3CCOCC3)coc2c1; [None]; [None]; [0]
-CN(C)c1cc(-c2coc3ccccc23)cnn1; [None]; [None]; [0]
-Cc1cc(-c2ccccc2)ccc1O; ['Cc1cc(Br)ccc1O']; ['OB(O)c1ccccc1']; [0.985879]
-Cc1nnc(-c2ccccc2-c2ccc(O)c(C)c2)[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1coc2ccccc12; [None]; [None]; [0]
-Cc1cc(-c2ccccc2S(=O)(=O)C(C)C)ccc1O; [None]; [None]; [0]
-Cc1cc(C2CCOCC2)ccc1O; ['Cc1ccccc1O', 'BrC1CCOCC1']; ['OC1CCOCC1', 'Cc1ccccc1O']; [0.953499556, 0.953499556]
-Cc1cc(-c2ccccc2P(C)(C)=O)ccc1O; [None]; [None]; [0]
-COC(C)(C)CCc1ccc(O)c(C)c1; [None]; [None]; [0]
-Cc1cc(-c2ccccc2C(=O)[O-])ccc1O; [None]; [None]; [0]
-Cc1cc(-c2csc(C(C)(C)C)n2)ccc1O; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc(O)c(C)c1; [None]; [None]; [0]
-COc1cnc(-c2ccc(O)c(C)c2)nc1; [None]; [None]; [0]
-Cc1cccc(-c2ccc(O)c(C)c2)c1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](CO)OC2)ccc1O; [None]; [None]; [0]
-Cc1cc(OCC(=O)C(C)C)ccc1O; ['CC(C)C(=O)CBr']; ['Cc1cc(O)ccc1O']; [0.96334368]
-Cc1cc(C2CCCCC2)ccc1O; ['Cc1ccccc1O']; ['OC1CCCCC1']; [0.990133941]
-Cc1cc(-c2c(C)nc3ccccn23)ccc1O; ['Cc1cc(I)ccc1O']; ['Cc1cn2ccccc2n1']; [0.998999417]
-CCC(C)(C)c1ccc(O)c(C)c1; ['C=C(C)CC', 'CCC(C)(C)Cl']; ['Cc1ccccc1O', 'Cc1ccccc1O']; [0.962987483, 0.962987483]
-Cc1cc(CC2CCCCC2)ccc1O; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc(O)c(C)c2)s1; [None]; [None]; [0]
-Cc1cc(NCCc2c[nH]cn2)ccc1O; ['Cc1cc(Br)ccc1O']; ['NCCc1c[nH]cn1']; [0.979645252]
-Cc1cc(-c2cccc(Cn3cncn3)c2)ccc1O; [None]; [None]; [0]
-CCCCc1ccc(O)c(C)c1; [None]; [None]; [0]
-Cc1cc(-c2cccc(CC(=O)[O-])c2)ccc1O; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc(O)c(C)c1; [None]; [None]; [0]
-Cc1cc(NCCc2ccccc2)ccc1O; ['BrCCc1ccccc1']; ['Cc1cc(N)ccc1O']; [0.981547117]
-Cc1cc(-c2ccc(-c3cnn(C)c3)cc2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(N)[nH]nc3c2)ccc1O; [None]; [None]; [0]
-Cc1cc(O[C@@H](C)C[NH+](C)C)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(cnn3C)c2)ccc1O; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; [0.99998641, 0.99998641]
-CCCn1cnc(-c2ccc(O)c(C)c2)n1; [None]; [None]; [0]
-CSc1nc(-c2ccc(O)c(C)c2)c[nH]1; [None]; [None]; [0]
-Cc1cc(CCC[NH3+])ccc1O; [None]; [None]; [0]
-Cc1cc([C@@H]2CCC[C@H]([NH3+])C2)ccc1O; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc(O)c(C)c3)cc2s1; [None]; [None]; [0]
-Cc1cc(-c2cnoc2C(C)C)ccc1O; [None]; [None]; [0]
-Cc1cc(N2CCC(S(C)(=O)=O)CC2)ccc1O; ['CS(=O)(=O)C1CCNCC1']; ['Cc1cc(Br)ccc1O']; [0.905216694]
-Cc1cc(-c2csc3ncncc23)ccc1O; [None]; [None]; [0]
-Cc1cc(OC(F)(F)F)ccc1O; []; []; []
-Cc1cc(-c2cn(C)c3ccccc23)ccc1O; [None]; [None]; [0]
-Cc1cc([C@@H](C)C(F)(F)F)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cc[nH]c(=O)c2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cnn3ccccc23)ccc1O; [None]; [None]; [0]
-Cc1cc(NC(=O)NC(C)(C)C)ccc1O; ['CC(C)(C)N=C=O']; ['Cc1cc(N)ccc1O']; [0.999883533]
-COc1cc(CCc2ccc(O)c(C)c2)cc(OC)c1; [None]; [None]; [0]
-Cc1cc(-c2ccn([C@@H2]CO)c(=O)c2)ccc1O; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc(O)c(C)c1; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]ccc3c2)ccc1O; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Cc1cc(Br)ccc1O']; [0.999970198]
-Cc1cc(-c2ccc(Cl)c(C(=O)[O-])c2)ccc1O; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](CCC#N)CC2)ccc1O; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](NC(=O)O)C2)ccc1O; [None]; [None]; [0]
-Cc1cc(C2(C)CCN(S(C)(=O)=O)CC2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc(N3CCOCC3)cc2)ccc1O; ['Cc1cc(Br)ccc1O']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999890924]
-Cc1cc(-n2ccc(CO)n2)ccc1O; ['Cc1cc(Br)ccc1O']; ['OCc1cc[nH]n1']; [0.980098]
-Cc1cc(-n2cnc(CCO)c2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc(O)c(C)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cc1cc(N[C@@H](C)C(C)(C)O)ccc1O; [None]; [None]; [0]
-Cc1cc(N[C@@H](C)C(C)(C)C)ccc1O; ['C[C@H](N)C(C)(C)C']; ['Cc1cc(Br)ccc1O']; [0.956858814]
-Cc1cc(N[C@H](C)C(C)(C)O)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2nc[nH]n2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc(-n3cncn3)cc2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2[nH]cnc2C)ccc1O; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc(O)c(C)c2)[nH]1; [None]; [None]; [0]
-Cc1cc(NCC(C)(C)[NH3+])ccc1O; [None]; [None]; [0]
-Cc1cc(-c2nncn2[C@H](C)CO)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2nncn2C(C)C)ccc1O; [None]; [None]; [0]
-Cc1cc(CCC(=O)NCc2ccccn2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2nncn2C)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2nncn2C2CC2)ccc1O; [None]; [None]; [0]
-Cc1cc(N[C@H](C)C(C)(C)C)ccc1O; ['C[C@@H](N)C(C)(C)C']; ['Cc1cc(O)ccc1O']; [0.815721631]
-Cc1cc(-c2cn(Cc3ccccc3)nn2)ccc1O; [None]; [None]; [0]
-CCCCc1cc(-c2ccc(O)c(C)c2)nc(N)n1; [None]; [None]; [0]
-CCc1cc(-c2ccc(O)c(C)c2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(O)c(C)c2)s1; [None]; [None]; [0]
-Cc1cc(-c2csc(N3CCOCC3)n2)ccc1O; ['CC(=O)c1ccc(O)c(C)c1']; ['NC(=S)N1CCOCC1']; [0.999999881]
-Cc1cc([C@H]2CCCN2C(N)=O)ccc1O; [None]; [None]; [0]
-Cc1cc(CC2CCOCC2)ccc1O; ['Cc1ccccc1O']; ['O=CC1CCOCC1']; [0.809205651]
-CC(=O)Nc1ncc(-c2ccc(O)c(C)c2)[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ncc3ccccc3n2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cn(C)n(C)c2=O)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cnccc2N2CCOCC2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ncc3cc[nH]c3n2)ccc1O; [None]; [None]; [0]
-Cc1cc(Cc2ccccc2NS(C)(=O)=O)ccc1O; [None]; [None]; [0]
-Cc1cc(O[C@@H]2CC[C@H](O)CC2)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cnnc(N(C)C)c2)ccc1O; [None]; [None]; [0]
-CC(C)C(=O)COCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-N#Cc1ccc(NCCNCCc2c[nH]cn2)nc1; [None]; [None]; [0]
-N#Cc1ccc(NCCNCCc2ccccc2)nc1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)OCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-N#Cc1ccc(NCCOC(F)(F)F)nc1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(CCNc2ccc(C#N)cn2)CC1; [None]; [None]; [0]
-CC(C)(C)NC(=O)NCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-C[C@H](NCCNc1ccc(C#N)cn1)C(C)(C)C; [None]; [None]; [0]
-C[C@@H](NCCNc1ccc(C#N)cn1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](NCCNc1ccc(C#N)cn1)C(C)(C)O; [None]; [None]; [0]
-CC(C)([NH3+])CNCCNc1ccc(C#N)cn1; [None]; [None]; [0]
-N#Cc1ccc(NCC[C@H]2CCCN2C(N)=O)nc1; [None]; [None]; [0]
-N#Cc1ccc(NCCO[C@@H]2CC[C@H](O)CC2)nc1; [None]; [None]; [0]
-C[C@@H](NCCNc1ccc(C#N)cn1)C(C)(C)C; [None]; [None]; [0]
-O=c1cc(O)c(-c2ncc3ccccc3n2)c[nH]1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3c[nH]c(=O)cc3O)CC2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(N3CCOCC3)cc2)c[nH]1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3c[nH]c(=O)cc3O)c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2c[nH]c(=O)cc2O)c1)C1CC1; [None]; [None]; [0]
-O=c1cc(O)c(-n2ncc3ccccc3c2=O)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccccc2)c[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2c[nH]c(=O)cc2O)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2c[nH]c(=O)cc2O)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2c[nH]c(=O)cc2O)nc1)N1CCOCC1; [None]; [None]; [0]
-O=c1cc(O)c(Cc2ccccc2)c[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1c[nH]c(=O)cc1O; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
-O=c1cc(O)c(C2CCCCC2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(Cc2cncnc2)c[nH]1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2c[nH]c(=O)cc2O)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2c[nH]c(=O)cc2O)cn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2c[nH]c(=O)cc2O)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)c(-c2c[nH]c(=O)cc2O)cc1Cl; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc(N3CCOCC3)ccn2)c[nH]1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc(-c3ccccc3)[nH]n2)c[nH]1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1c[nH]c(=O)cc1O; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c(=O)cc2O)sn1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3c[nH]c(=O)cc3O)CC2)c1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccnc2Oc2ccccc2)c[nH]1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2c[nH]c(=O)cc2O)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-CCCCCc1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(C2CCOCC2)c[nH]1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3c[nH]c(=O)cc3O)cc2)CC1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ncc3cccn3n2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(CCCn2cncn2)c[nH]1; [None]; [None]; [0]
-CC[NH+](CC)c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc3ccccn3n2)c[nH]1; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(=O)cc2O)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3c[nH]c(=O)cc3O)ccc2O1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(N3CCCCC3)cc2)c[nH]1; [None]; [None]; [0]
-Cc1csc2c(-c3c[nH]c(=O)cc3O)ncnc12; [None]; [None]; [0]
-O=c1cc(O)c(-c2ncc(Cl)cn2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccc(-n3nccn3)c2)c[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-O=c1cc(O)c(Cc2ccc(S(=O)(=O)CCO)cc2)c[nH]1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
-O=C(Nc1c[nH]c(=O)cc1O)c1ccco1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc(F)cc3c2OCOC3)c[nH]1; [None]; [None]; [0]
-COc1ccc2oc(-c3c[nH]c(=O)cc3O)cc2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cc(-c3cccnc3)ccn2)c[nH]1; [None]; [None]; [0]
-Cc1nc(-c2c[nH]c(=O)cc2O)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2ncc3sccc3n2)c[nH]1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2c[nH]c(=O)cc2O)c1)N1CCCC1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ncc3cc(Cl)ccc3n2)c[nH]1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3c[nH]c(=O)cc3O)[nH]c2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2c[nH]c(=O)cc2O)cc1Cl; [None]; [None]; [0]
-O=c1cc(O)c(OC(F)(F)F)c[nH]1; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c(=O)cc2O)c2ccccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2c[nH]c(=O)cc2O)n1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c(=O)cc2O)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1ncc2cc(-c3c[nH]c(=O)cc3O)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2c[nH]c(=O)cc2O)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3c[nH]c(=O)cc3O)ccc12; [None]; [None]; [0]
-C[NH+](C)CCCc1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(C2CCC(F)(F)CC2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(C2CCS(=O)(=O)CC2)c[nH]1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(CC2CCOCC2)c[nH]1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c[nH]c(=O)cc2O)c(OC)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2c[nH]c(=O)cc2O)c(Cl)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1c[nH]c(=O)cc1O; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-Cn1c(-c2c[nH]c(=O)cc2O)nc2ccccc21; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cn[nH]c2Cl)c[nH]1; [None]; [None]; [0]
-Cc1ccccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c[nH]c(=O)cc2O)c(F)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-O=c1cc(O)c(CCc2ccc(Cl)cc2)c[nH]1; [None]; [None]; [0]
-COCCCc1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2c(Cl)ccc3c2OCO3)c[nH]1; [None]; [None]; [0]
-NC(=O)c1cc(-c2c[nH]c(=O)cc2O)c[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3c[nH]c(=O)cc3O)ccc12; [None]; [None]; [0]
-O=c1cc(O)c(-c2nnco2)c[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2c[nH]c(=O)cc2O)o1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cnc3[nH]ccc3c2)c[nH]1; [None]; [None]; [0]
-CNc1nccc(-c2c[nH]c(=O)cc2O)n1; [None]; [None]; [0]
-O=c1cc(O)c(-c2ncc(F)cn2)c[nH]1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2ccc(Br)o2)c[nH]1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c(=O)cc2O)n[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2nncs2)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2cccc([O-])c2)c[nH]1; [None]; [None]; [0]
-Cc1n[nH]c(-c2c[nH]c(=O)cc2O)c1C; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
-O=c1cc(O)c(-c2[nH]nc3ccc(F)cc23)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(CCc2c[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(-c2[nH]cnc2-c2ccc(F)cc2)c[nH]1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c(=O)cc2O)ccc1C(N)=O; [None]; [None]; [0]
-O=c1cc(O)c(OCc2cccc3ccccc23)c[nH]1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(-c2cn[nH]c2-c2ccc(Cl)cc2)c[nH]1; [None]; [None]; [0]
-c1ccc(Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
-O=c1cc(O)c(CCc2ccc(F)cc2F)c[nH]1; [None]; [None]; [0]
-O=c1cc(O)c(OCc2ccc(F)cc2F)c[nH]1; [None]; [None]; [0]
-Cc1ccccc1Nc1ncnn2cccc12; ['Cc1ccccc1I']; ['Nc1ncnn2cccc12']; [0.999213934]
-NC(=O)c1ccc(Nc2ncnn3cccc23)c(F)c1; [None]; [None]; [0]
-Cc1cc(F)ccc1Nc1ncnn2cccc12; ['Cc1cc(F)ccc1I']; ['Nc1ncnn2cccc12']; [0.999958158]
-O=C([O-])c1ccc(Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
-Clc1[nH]ncc1Nc1ncnn2cccc12; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1Nc1ncnn2cccc12; [None]; [None]; [0]
-NC(=O)c1cc(Nc2ncnn3cccc23)c[nH]1; [None]; [None]; [0]
-Clc1ccc2c(c1Nc1ncnn3cccc13)OCO2; [None]; [None]; [0]
-Cc1nnc(Nc2ncnn3cccc23)o1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(Nc3ncnn4cccc34)ccc12; [None]; [None]; [0]
-c1cc2c(Nc3nnco3)ncnn2c1; [None]; [None]; [0]
-CNc1nccc(Nc2ncnn3cccc23)n1; [None]; [None]; [0]
-c1cc2c(Nc3cnc4[nH]ccc4c3)ncnn2c1; [None]; [None]; [0]
-c1cc2c(NC3CCOCC3)ncnn2c1; [None]; [None]; [0]
-Brc1ccc(Nc2ncnn3cccc23)o1; [None]; [None]; [0]
-Fc1cnc(Nc2ncnn3cccc23)nc1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1Nc1ncnn2cccc12; [None]; [None]; [0]
-Nc1cc(Nc2ncnn3cccc23)n[nH]1; [None]; [None]; [0]
-[O-]c1cccc(Nc2ncnn3cccc23)c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(Nc3ncnn4cccc34)c2c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(Nc2ncnn3cccc23)cc1; ['Nc1ncnn2cccc12']; ['O=C(NC1CC1)c1ccc(I)cc1']; [0.99820292]
-c1cc2c(Nc3nncs3)ncnn2c1; [None]; [None]; [0]
-Cc1cc(Nc2ncnn3cccc23)ccc1C(N)=O; [None]; [None]; [0]
-Cc1n[nH]c(Nc2ncnn3cccc23)c1C; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1Nc1ncnn2cccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
-Cn1c(-c2ncco2)nc2ccccc21; [None]; [None]; [0]
-c1ccc(-c2ncco2)cc1; ['Brc1ccccc1']; ['c1cocn1']; [0.998826206]
-Cc1cc(F)ccc1-c1ncco1; ['Cc1cc(F)ccc1Br']; ['c1cocn1']; [0.999849319]
-Cc1ccccc1-c1ncco1; ['Cc1ccccc1I', 'Cc1ccccc1Cl']; ['c1cocn1', 'c1cocn1']; [0.998852372, 0.998852372]
-Clc1[nH]ncc1-c1ncco1; [None]; [None]; [0]
-Clc1ccc(CCc2ncco2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ncco2)c(F)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2ncco2)c1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ncco2)c[nH]1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ncco1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1ncco1)OCO2; [None]; [None]; [0]
-c1coc(-c2nnco2)n1; [None]; [None]; [0]
-COCCCc1ncco1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ncco3)ccc12; [None]; [None]; [0]
-c1coc(C2CCOCC2)n1; [None]; [None]; [0]
-Cc1nnc(-c2ncco2)o1; [None]; [None]; [0]
-c1coc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
-Fc1cnc(-c2ncco2)nc1; [None]; [None]; [0]
-CNc1nccc(-c2ncco2)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ncco1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ncco1; [None]; [None]; [0]
-Brc1ccc(-c2ncco2)o1; [None]; [None]; [0]
-Nc1cc(-c2ncco2)n[nH]1; [None]; [None]; [0]
-[O-]c1cccc(-c2ncco2)c1; [None]; [None]; [0]
-c1coc(-c2nncs2)n1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3ncco3)c2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2ncco2)c1C; [None]; [None]; [0]
-c1ccc2c(CCc3ncco3)c[nH]c2c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2ncco2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ncco2)ccc1C(N)=O; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2ncco2)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ncco1; [None]; [None]; [0]
-c1ccc2c(COc3ncco3)cccc2c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-Fc1ccc(COc2ncco2)c(F)c1; [None]; [None]; [0]
-Fc1ccc(CCc2ncco2)c(F)c1; [None]; [None]; [0]
-c1ccc2nc(-c3ncco3)ncc2c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ncco3)c2c1; [None]; [None]; [0]
-c1coc(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ncco3)CC2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ncco2)cn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1ncco1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncco2)c1)C1CC1; [None]; [None]; [0]
-O=C(c1ccc(-c2ncco2)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2ncco2)nc1)N1CCOCC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-c1ccc(Cc2ncco2)cc1; ['ClCc1ccccc1']; ['c1cocn1']; [0.995695472]
-C[C@@H](O)COc1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1ncco1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-c1coc(C2CCCCC2)n1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ncco2)CC1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2ncco2)C1; [None]; [None]; [0]
-Nc1ncc(Cc2ncco2)cn1; [None]; [None]; [0]
-c1ncc(Cc2ncco2)cn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ncco2)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ncco1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(-c2ncco2)n1; [None]; [None]; [0]
-Cc1cc(-c2ncco2)sn1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ncco1; ['CC(C)(C)N=C=O']; ['Nc1ncco1']; [0.99968195]
-COc1cc(OC)c(-c2ncco2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ncco3)CC2)c1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3ncco3)n[nH]2)cc1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2ncco2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2ncco2)CC1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ncco2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ncco1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ncco2)cn1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ncco3)cc2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ncco2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1']; ['Nc1ncco1', 'Nc1ncco1']; [0.999486208, 0.999486208]
-CCCCCc1ncco1; ['CCCCCCl']; ['c1cocn1']; [0.987672]
-c1coc(CCCn2cncn2)n1; [None]; [None]; [0]
-CC[NH+](CC)c1ncco1; [None]; [None]; [0]
-c1cc2cnc(-c3ncco3)nn2c1; [None]; [None]; [0]
-COc1cc(-c2ncco2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1ccn2nc(-c3ncco3)cc2c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ncco3)ccc2O1; [None]; [None]; [0]
-c1coc(-c2ccc(N3CCCCC3)cc2)n1; [None]; [None]; [0]
-Clc1cnc(-c2ncco2)nc1; [None]; [None]; [0]
-c1cc(-c2ncco2)cc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1csc2c(-c3ncco3)ncnc12; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ncco2)c1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2ncco2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2ncco2)cc1; [None]; [None]; [0]
-O=C(Nc1ncco1)c1ccco1; ['Nc1ncco1']; ['O=C(O)c1ccco1']; [0.902231395]
-CCNC(=O)N1CCC(c2ncco2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3ncco3)c1)OCOC2; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ncco2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3ncco3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ncco2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ncco2)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1']; ['Nc1ncco1', 'Nc1ncco1']; [0.993923604, 0.993923604]
-CNC(=O)c1ccc(OC)c(-c2ncco2)c1; [None]; [None]; [0]
-Cc1nc(-c2ncco2)c2sccc2n1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3ncco3)c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ncco1; [None]; [None]; [0]
-Clc1ccc2nc(-c3ncco3)ncc2c1; [None]; [None]; [0]
-c1coc(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ncco1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncco2)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(-c3ncco3)[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ncco1; [None]; [None]; [0]
-Cn1cc(-c2ncco2)c2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ncco2)cc1Cl; [None]; [None]; [0]
-Cn1ncc2cc(-c3ncco3)ccc21; ['Cn1ncc2cc(Br)ccc21']; ['c1cocn1']; [0.997032285]
-C[C@H]1CCCN1c1cccc(-c2ncco2)n1; [None]; [None]; [0]
-C[NH+](C)CCCc1ncco1; [None]; [None]; [0]
-Cc1cc(-c2ncco2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2ncco2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ncco3)ccc12; [None]; [None]; [0]
-FC1(F)CCC(c2ncco2)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ncco1; [None]; [None]; [0]
-c1coc(CC2CCOCC2)n1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ncco1; [None]; [None]; [0]
-O=S1(=O)CCC(c2ncco2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ncco2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncco2)c(OC)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1ncco1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ncco2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ncco2)cc1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cc4c(Cl)ccnc4[nH]3)c2c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ncco1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ccccc3)cc12; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc4c(Cl)ccnc4[nH]3)CC2)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1)C1CC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cc3c(Cl)ccnc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cn1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(Cc3ccccc3)cc12; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-O=C(c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(Cc3cncnc3)cc12; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cc3c(Cl)ccnc3[nH]2)C1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(C3CCCCC3)cc12; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(Cc2cc3c(Cl)ccnc3[nH]2)cn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc3c(Cl)ccnc3[nH]2)cc1Cl; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cc(N4CCOCC4)ccn3)cc12; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cc(-c4ccccc4)[nH]n3)cc12; [None]; [None]; [0]
-Cc1cc(-c2cc3c(Cl)ccnc3[nH]2)sn1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc4c(Cl)ccnc4[nH]3)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cn1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cccnc3Oc3ccccc3)cc12; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
-CCCCCc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(C3CCOCC3)cc12; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc4c(Cl)ccnc4[nH]3)cc2)CC1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(CCCn3cncn3)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ncc4cccn4n3)cc12; [None]; [None]; [0]
-CC[NH+](CC)c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cc4ccccn4n3)cc12; [None]; [None]; [0]
-COc1cc(-c2cc3c(Cl)ccnc3[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-Clc1cnc(-c2cc3c(Cl)ccnc3[nH]2)nc1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc4c(Cl)ccnc4[nH]3)ccc2O1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ccc(N4CCCCC4)cc3)cc12; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cccc(-n4nccn4)c3)cc12; [None]; [None]; [0]
-Cc1csc2c(-c3cc4c(Cl)ccnc4[nH]3)ncnc12; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
-O=C(Nc1cc2c(Cl)ccnc2[nH]1)c1ccco1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc4c(Cl)ccnc4[nH]3)cc2c1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cc4c(Cl)ccnc4[nH]3)c1)OCOC2; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3cc(-c4cccnc4)ccn3)cc12; [None]; [None]; [0]
-Cc1nc(-c2cc3c(Cl)ccnc3[nH]2)c2sccc2n1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ncc4sccc4n3)cc12; [None]; [None]; [0]
-Clc1ccc2nc(-c3cc4c(Cl)ccnc4[nH]3)ncc2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc4c(Cl)ccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
-FC(F)(F)Oc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cc3c(Cl)ccnc3[nH]2)c2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1Cl; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc3c(Cl)ccnc3[nH]2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4c(Cl)ccnc4[nH]3)ccc21; [None]; [None]; [0]
-Cc1cc(-c2cc3c(Cl)ccnc3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cn1; [None]; [None]; [0]
-C[NH+](C)CCCc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-FC1(F)CCC(c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc4c(Cl)ccnc4[nH]3)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(CC3CCOCC3)cc12; [None]; [None]; [0]
-O=S1(=O)CCC(c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)c(OC)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-CCOc1ccc(-c2cccc(C(N)=O)n2)cc1; ['CCOc1ccc(B(O)O)cc1']; ['NC(=O)c1cccc(Br)n1']; [0.999973536]
-CNC(=O)c1ccc(C)c(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cccc(C(N)=O)n2)cc1; ['CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C']; ['NC(=O)c1cccc(Cl)n1']; [0.999999762]
-CC(=O)N(C)c1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cccc(C(N)=O)n3)CC2)c1; [None]; [None]; [0]
-COc1ncccc1-c1cccc(C(N)=O)n1; ['COc1ncccc1B(O)O', 'COc1ncccc1B(O)O']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.974899, 0.974899]
-CS(=O)(=O)c1cccc(-c2cccc(C(N)=O)n2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C']; ['NC(=O)c1cccc(Cl)n1']; [0.999998212]
-COc1cc(-c2cccc(C(N)=O)n2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1nncc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-Cn1cc(-c2cccc(C(N)=O)n2)cn1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(O)c2)n1; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1']; [0.999061406, 0.999061406]
-NC(=O)c1cccc(-c2ccc(N3CCOCC3)cc2)n1; ['NC(=O)c1cccc(Br)n1']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.99999845]
-Cc1nn(C)cc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-COc1ccc(-c2cccc(C(N)=O)n2)cc1; ['COc1ccc(B(O)O)cc1']; ['NC(=O)c1cccc(Cl)n1']; [0.99992156]
-NC(=O)c1cccc(-c2ccccc2)n1; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['OB(O)c1ccccc1', 'OB(O)c1ccccc1']; [0.999437511, 0.999437511]
-NC(=O)c1cccc(-c2cccc(NC(=O)C3CC3)c2)n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1']; [0.999999404, 0.999999404]
-NC(=O)c1cccc(-c2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cccc(C(N)=O)n2)cn1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(C(=O)Nc3ccccc3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999999762, 0.999999762, 0.999999762]
-NC(=O)c1cccc(Cc2nccc3ccccc23)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(Cl)cc2)n1; ['CC1(C)OB(c2ccc(Cl)cc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Cl)n1', 'OB(O)c1ccc(Cl)cc1', 'OB(O)c1ccc(Cl)cc1']; [0.99999404, 0.99999404, 0.99999404]
-NC(=O)c1cccc(Nc2ncccn2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(F)c2)n1; ['NC(=O)c1cccc(Br)n1']; ['OB(O)c1cccc(F)c1']; [0.999826133]
-NC(=O)c1cccc(CCCO)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(OCCO)cc2)n1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C']; ['NC(=O)c1cccc(Cl)n1']; [0.999999285]
-CC(=O)NCc1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(C(=O)N3CCOCC3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Br)n1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.999999762, 0.999999762]
-NC(=O)c1cccc(-c2cccc(C3CCNCC3)c2)n1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(C(=O)N3CCOCC3)cn2)n1; [None]; [None]; [0]
-Cc1cc(-c2cccc(C(N)=O)n2)nn1C; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(C(F)(F)F)cc2)n1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C']; ['NC(=O)c1cccc(Cl)n1']; [0.999996543]
-C[C@@H](O)COc1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CN(C)c1ccc(B(O)O)cc1']; ['NC(=O)c1cccc(Cl)n1']; [0.999924541]
-CNS(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cccc(Br)n1']; [0.999972105]
-Cc1nc(C)c(-c2cccc(C(N)=O)n2)s1; [None]; [None]; [0]
-NC(=O)c1cccc(C2CCCCC2)n1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
-NC(=O)c1cccc([C@H]2CCN(C(=O)c3ccccc3)C2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cncnc2)n1; ['NC(=O)c1cccc(Cl)n1']; ['OB(O)c1cncnc1']; [0.998448372]
-NC(=O)c1cccc(-c2ccc(Br)cc2)n1; ['NC(=O)c1cccc(Br)n1']; ['OB(O)c1ccc(Br)cc1']; [0.998581767]
-CCNS(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnc(Cl)nc2)n1; ['CC1(C)OB(c2cnc(Cl)nc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Cl)n1', 'OB(O)c1cnc(Cl)nc1']; [0.999794543, 0.999794543]
-Cc1c(C(=O)[O-])cccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cn[nH]c2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc(C(N)=O)n2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cccc(C(N)=O)n1; ['COc1ccc(Cl)cc1B(O)O']; ['NC(=O)c1cccc(Cl)n1']; [0.99653095]
-COc1cc(OC)c(-c2cccc(C(N)=O)n2)cc1Cl; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc[nH]2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc3c(c2)CCO3)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cc(N3CCOCC3)ccn2)n1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cccc(C(N)=O)n2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['NC(=O)c1cccc(Br)n1']; [0.999506116]
-Cc1cc(-c2cccc(C(N)=O)n2)sn1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cc(-c3ccccc3)[nH]n2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cc3ccccc3cn2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc3c2OCO3)n1; [None]; [None]; [0]
-COc1cc(-c2cccc(C(N)=O)n2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['NC(=O)c1cccc(Br)n1']; [0.9999367]
-NC(=O)c1cccc(-c2ccc(F)c(F)c2)n1; ['NC(=O)c1cccc(Cl)n1']; ['OB(O)c1ccc(F)c(F)c1']; [0.999982834]
-COc1cccc(C(=O)N2CCC(c3cccc(C(N)=O)n3)CC2)c1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
-NC(=O)c1cccc([C@@H]2CC[C@@H]([NH3+])CC2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnc3ccccc3c2)n1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C']; ['NC(=O)c1cccc(Br)n1']; [0.999996662]
-CC(C)(C)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.999999523, 0.999999523]
-NC(=O)c1cccc(-c2cccnc2Oc2ccccc2)n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccc(C(N)=O)n2)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['NC(=O)c1cccc(Br)n1']; [0.999999762]
-CC(=O)N[C@@H]1CC[C@@H](c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
-COCCc1cccc(C(N)=O)n1; ['COCCc1ccccn1']; ['NC=O']; [0.988612711]
-COc1cccc(C(=O)Nc2cccc(C(N)=O)n2)c1; ['COc1cccc(C(N)=O)c1']; ['NC(=O)c1cccc(Br)n1']; [0.999732316]
-COc1cc(N2CCOCC2)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-Cc1cc(-c2cccc(C(N)=O)n2)nc(N)n1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cccc(C(N)=O)n3)cc2)CC1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccco2)n1; [None]; [None]; [0]
-NC(=O)c1cccc([C@@H]2CC[C@@H](O)CC2)n1; [None]; [None]; [0]
-CSc1cccc(-c2cccc(C(N)=O)n2)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['NC(=O)c1cccc(Cl)n1']; [0.999968886]
-NC(=O)c1cccc(-c2ccc(F)cc2Cl)n1; ['NC(=O)c1cccc(Cl)n1']; ['OB(O)c1ccc(F)cc1Cl']; [0.998758078]
-CC[C@@H](CO)c1cccc(C(N)=O)n1; [None]; [None]; [0]
-COc1ccc(-c2cccc(C(N)=O)n2)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['NC(=O)c1cccc(Cl)n1']; [0.999736965]
-NC(=O)c1cccc([C@H]2CC[C@@H](O)C2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(C2CCOCC2)n1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(C(N)=O)n2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.999999285, 0.999999285]
-NC(=O)c1cccc(-c2ccsc2)n1; ['NC(=O)c1cccc(Br)n1']; ['OB(O)c1ccsc1']; [0.999803603]
-NC(=O)c1cccc(-c2ncc3cccn3n2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ncc(Br)cn2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(Cl)cc2Cl)n1; ['NC(=O)c1cccc(Cl)n1']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.997782886]
-NC(=O)c1cccc(-c2cc3ccccn3n2)n1; [None]; [None]; [0]
-COc1cc(-c2cccc(C(N)=O)n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2cccc(C(N)=O)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(N3CCCCC3)cc2)n1; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C']; ['NC(=O)c1cccc(Br)n1']; [0.999999881]
-Cc1cc(C)cc(-c2cccc(C(N)=O)n2)c1; []; []; []
-CC1(C)Cc2cc(-c3cccc(C(N)=O)n3)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cccc(C(N)=O)n3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cccc(C(N)=O)n2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cccc(C(N)=O)n2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl']; ['NC(=O)c1cccc(Cl)n1']; [0.999997497]
-NC(=O)c1cccc(-c2cccc3ccc(O)cc23)n1; [None]; [None]; [0]
-Cc1csc2c(-c3cccc(C(N)=O)n3)ncnc12; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(-n3nccn3)c2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ncc(Cl)cn2)n1; [None]; [None]; [0]
-COc1cc(-c2cccc(C(N)=O)n2)c(OC)cc1Br; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(C(N)=O)n2)o1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cc(F)cc3c2OCOC3)n1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cccc(C(N)=O)n2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1']; ['NC(=O)c1cccc(Cl)n1']; [0.999921322]
-NC(=O)c1cccc(-c2ccc3cn[nH]c3c2)n1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['NC(=O)c1cccc(Br)n1']; [0.999995947]
-COc1ccc2oc(-c3cccc(C(N)=O)n3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cc(-c3cccnc3)ccn2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.999999762, 0.999999762]
-CNC(=O)c1ccc(OC)c(-c2cccc(C(N)=O)n2)c1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cc3ccccc3o2)n1; [None]; [None]; [0]
-Cc1nc(-c2cccc(C(N)=O)n2)c2sccc2n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ncc3cc(Cl)ccc3n2)n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(NC(=O)N3CCCC3)c2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(OC(F)(F)F)cc2)n1; [None]; [None]; [0]
-COc1ccc2nc(-c3cccc(C(N)=O)n3)[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-c2cccc(C(N)=O)n2)c2ccccc21; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cscn2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(C(=O)[O-])c(Cl)c2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(C(N)=O)n2)nc1C; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cccc(C(N)=O)n2)n1; [None]; [None]; [0]
-CCc1cccc(-c2cccc(C(N)=O)n2)n1; [None]; [None]; [0]
-Cc1cc(-c2cccc(C(N)=O)n2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc(C(N)=O)n2)cn1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(N3CCCC3=O)c2)n1; ['NC(=O)c1cccc(Br)n1']; ['O=C1CCCN1c1cccc(Br)c1']; [0.999670625]
-Cc1n[nH]c2cc(-c3cccc(C(N)=O)n3)ccc12; [None]; [None]; [0]
-NC(=O)c1cccc(C2CCC(F)(F)CC2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(CCO)cc2)n1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(C2CCS(=O)(=O)CC2)n1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cccc(Cl)n1']; [0.999951839]
-CN(C)C(=O)c1ccc(-c2cccc(C(N)=O)n2)c(Cl)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cccc(C(N)=O)n2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(C(N)=O)n2)c(OC)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cccc(C(N)=O)n2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cccc(C(N)=O)n1; [None]; [None]; [0]
-CCOc1ccccc1-c1cccc(C(N)=O)n1; ['CCOc1ccccc1B(O)O']; ['NC(=O)c1cccc(Cl)n1']; [0.984827518]
-COC(C)(C)CCc1cccc(C(N)=O)n1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc(C(N)=O)n2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc([C@@H]2C[C@H](O)C2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(Cc2cc(F)cc(F)c2)n1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(C(F)(F)F)c2)n1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Cl)n1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999954462, 0.999954462]
-NC(=O)c1cccc(-c2cc[nH]n2)n1; [None]; [None]; [0]
-Cc1cccc(-c2cccc(C(N)=O)n2)c1; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cccc(B(O)O)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1']; [0.999903083, 0.999903083]
-NC(=O)c1cccc(-c2ccccc2F)n1; ['CC1(C)OB(c2ccccc2F)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'OB(O)c1ccccc1F', 'OB(O)c1ccccc1F']; [0.999838948, 0.999838948, 0.999838948]
-NC(=O)c1cccc(-c2ccnc3ccccc23)n1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cccc(C(N)=O)n1; ['N#Cc1ccccc1B(O)O', 'N#Cc1ccccc1B(O)O']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.999686956, 0.999686956]
-NC(=O)c1cccc(-c2cccnc2)n1; ['CC1(C)OB(c2cccnc2)OC1(C)C', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'OB(O)c1cccnc1']; [0.999860644, 0.999860644]
-NC(=O)c1cccc(-c2ccccc2Br)n1; ['NC(=O)c1cccc(Br)n1']; ['OB(O)c1ccccc1Br']; [0.963863611]
-NC(=O)c1cccc(-c2ccccc2C(=O)[O-])n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccccc2Cl)n1; ['NC(=O)c1cccc(Br)n1', 'CC1(C)OB(c2ccccc2Cl)OC1(C)C', 'NC(=O)c1cccc(Cl)n1']; ['OB(O)c1ccccc1Cl', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1ccccc1Cl']; [0.999273717, 0.999273717, 0.999273717]
-NC(=O)c1cccc(-c2ccccc2OC(F)(F)F)n1; ['NC(=O)c1cccc(Br)n1']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999811232]
-NC(=O)c1cccc(-c2ccccc2C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2c(F)cccc2F)n1; ['NC(=O)c1cccc(Br)n1']; ['OB(O)c1c(F)cccc1F']; [0.999985576]
-NC(=O)c1cccc([C@@H](N)c2ccco2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnn(Cc3ccccc3)c2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnn(CCO)c2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(NC(=O)c3ccccc3)c2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccncn2)n1; [None]; [None]; [0]
-NC(=O)c1cccc([C@@H]2CC[C@@H](CO)OC2)n1; [None]; [None]; [0]
-COc1cnc(-c2cccc(C(N)=O)n2)nc1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc(C(N)=O)n2)cs1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(C(N)=O)n2)c(Br)c1; [None]; [None]; [0]
-NC(=O)c1cccc(CC2CCCCC2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc3c(c2)CCC3)n1; [None]; [None]; [0]
-CC(C)C(=O)COc1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnco2)n1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc(C(N)=O)n2)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-CC(C)(C)Nc1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(OC2CCCCC2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(NCc2cccnc2)n1; ['NC(=O)c1cccc(Cl)n1']; ['NCc1cccnc1']; [0.999441683]
-Cc1ccc(Cl)c(-c2cccc(C(N)=O)n2)c1; ['Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.998241663, 0.998241663]
-NC(=O)c1cccc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(Cl)c2Cl)n1; ['NC(=O)c1cccc(Br)n1']; ['OB(O)c1cccc(Cl)c1Cl']; [0.999586523]
-Cc1ncc(-c2cccc(C(N)=O)n2)[nH]1; [None]; [None]; [0]
-CCC(C)(C)c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
-COc1cccc(-c2cccc(C(N)=O)n2)c1; ['COc1cccc(B(O)O)c1', 'COc1cccc(-c2ccccn2)c1']; ['NC(=O)c1cccc(Cl)n1', 'NC=O']; [0.997638822, 0.997638822]
-NC(=O)c1cccc(-c2ccc(Cl)s2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc3ccccc3c2)n1; ['NC(=O)c1cccc(Br)n1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C']; ['OB(O)c1ccc2ccccc2c1', 'NC(=O)c1cccc(Cl)n1']; [0.999988675, 0.999988675]
-C[C@H](CO)Nc1cccc(C(N)=O)n1; ['C[C@@H](N)CO']; ['NC(=O)c1cccc(F)n1']; [0.99499172]
-NC(=O)c1cccc(-n2cnc3ccccc32)n1; [None]; [None]; [0]
-NC(=O)c1cccc(Nc2cccnc2)n1; ['NC(=O)c1cccc(Cl)n1']; ['Nc1cccnc1']; [0.995187]
-COC(=O)[C@@H](N)Cc1cccc(C(N)=O)n1; [None]; [None]; [0]
-CC(C)COc1cccc(C(N)=O)n1; ['CC(C)COc1ccccn1']; ['NC=O']; [0.80776453]
-NC(=O)c1cccc(NCCc2c[nH]cn2)n1; ['NC(=O)c1cccc(Br)n1']; ['NCCc1c[nH]cn1']; [0.999638796]
-NC(=O)c1cccc(-c2cccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(NC(=O)c2cccs2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(NCCc2ccccc2)n1; ['NC(=O)c1cccc(F)n1']; ['NCCc1ccccc1']; [0.982930124]
-NC(=O)c1cccc(-c2cncc3ccccc23)n1; ['NC(=O)c1cccc(Br)n1']; ['OB(O)c1cncc2ccccc12']; [0.999193728]
-CCCCc1cccc(C(N)=O)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cccc(C(N)=O)n3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['NC(=O)c1cccc(Br)n1']; [0.999998]
-NC(=O)c1cccc(-c2ccc3c(N)[nH]nc3c2)n1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cccc(C(N)=O)n3)cc2)cn1; [None]; [None]; [0]
-NC(=O)c1cccc(CCC[NH3+])n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccc(C(N)=O)n1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(C(N)=O)n2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(CO)c2)n1; ['NC(=O)c1cccc(Cl)n1']; ['OCc1cccc(B(O)O)c1']; [0.995480895]
-Cn1cncc1-c1cccc(C(N)=O)n1; ['CCCC[Sn](CCCC)(CCCC)c1cncn1C']; ['NC(=O)c1cccc(Br)n1']; [0.997272313]
-NC(=O)c1cccc(Nc2ccncc2)n1; ['NC(=O)c1cccc(Cl)n1']; ['Nc1ccncc1']; [0.996647894]
-NC(=O)c1cccc([C@@H]2CCC[C@H]([NH3+])C2)n1; [None]; [None]; [0]
-CSc1nc(-c2cccc(C(N)=O)n2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2csc3ncncc23)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccs2)n1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cccc(C(N)=O)n2)c1; [None]; [None]; [0]
-CC(C)Nc1cccc(C(N)=O)n1; ['CC(C)N']; ['NC(=O)c1cccc(Br)n1']; [0.900976777]
-NC(=O)c1cccc(-c2ccc(F)cc2C(F)(F)F)n1; ['NC(=O)c1cccc(Cl)n1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999607384]
-CCC(=O)Nc1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc(C(N)=O)n3)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccc(C(N)=O)n2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.999987, 0.999987]
-COc1ccc(-c2cccc(C(N)=O)n2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['NC(=O)c1cccc(Cl)n1']; [0.99975723]
-C[C@H](c1cccc(C(N)=O)n1)C(F)(F)F; [None]; [None]; [0]
-NC(=O)c1cccc(OC(F)(F)F)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnoc2)n1; [None]; [None]; [0]
-CCC(=O)Nc1cccc(C(N)=O)n1; ['CCC(N)=O']; ['NC(=O)c1cccc(Br)n1']; [0.995346367]
-CCCn1cc(-c2cccc(C(N)=O)n2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['NC(=O)c1cccc(Br)n1']; [0.999987364]
-NC(=O)c1cccc(-c2ccn([C@@H2]CO)c(=O)c2)n1; [None]; [None]; [0]
-Cc1cc(-c2cccc(C(N)=O)n2)no1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc3c2C(=O)CC3)n1; [None]; [None]; [0]
-COc1cc(CCc2cccc(C(N)=O)n2)cc(OC)c1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cc[nH]c(=O)c2)n1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccc(C(N)=O)n1; ['CC(C)(C)NC(N)=O']; ['NC(=O)c1cccc(Cl)n1']; [0.981037]
-C[S@](=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(Cl)c(C(=O)[O-])c2)n1; [None]; [None]; [0]
-CCOC(=O)Cc1cccc(C(N)=O)n1; [None]; [None]; [0]
-COc1ccncc1Nc1cccc(C(N)=O)n1; [None]; [None]; [0]
-CCN(CC)c1cccc(C(N)=O)n1; ['CCNCC']; ['NC(=O)c1cccc(Cl)n1']; [0.997165501]
-NC(=O)c1cccc(-c2cc3c(=O)[nH]ccc3o2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(Nc2cnc3ccccc3c2)n1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc([C@H](CO)Cc2ccccc2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnc3[nH]ccc3c2)n1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['NC(=O)c1cccc(Br)n1']; [0.999999762]
-CC1(c2cccc(C(N)=O)n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cccc(C(N)=O)n2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
-NC(=O)c1cccc([C@@H]2CC[C@@H](NC(=O)O)C2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.999986291, 0.999986291]
-N#CC[C@@H]1CC[C@@H](c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccc(C(N)=O)n1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.999999046, 0.999999046]
-Cc1cc(-c2cccc(C(N)=O)n2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-n2ccc(CO)n2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-n2cnc(CCO)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1cccc(C(N)=O)n1)C(C)(C)C; [None]; [None]; [0]
-C[C@H](Nc1cccc(C(N)=O)n1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cccc(C(N)=O)n1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(F)c2C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-n2ncc3ccccc32)n1; ['NC(=O)c1cccc(Cl)n1']; ['c1ccc2[nH]ncc2c1']; [0.998226225]
-NC(=O)c1cccc(-c2cccnc2O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-n2ncc3c(O)cccc32)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2nc[nH]n2)n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc(C(N)=O)n2)[nH]1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
-COc1ccc(-c2cccc(C(N)=O)n2)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.999488, 0.999488, 0.999488]
-Cc1nc[nH]c1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(Cc2ccncc2)n1; ['BrCc1ccncc1']; ['NC(=O)c1cccc(Cl)n1']; [0.950561881]
-NC(=O)c1cccc(-c2ccc(C(=O)c3ccccc3)cc2)n1; ['NC(=O)c1cccc(Cl)n1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9993788]
-CC(C)([NH3+])CNc1cccc(C(N)=O)n1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-Cn1cnnc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(OC2CCOCC2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(CCC(=O)NCc2ccccn2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-n2ccnc2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
-C[C@@H](Nc1cccc(C(N)=O)n1)C(C)(C)C; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnc(N)s2)n1; [None]; [None]; [0]
-CCc1cc(-c2cccc(C(N)=O)n2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2cccc(C(N)=O)n2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(C(N)=O)n2)s1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2nnc(N)s2)n1; [None]; [None]; [0]
-Cc1cncc(-c2cccc(C(N)=O)n2)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cccc(C(N)=O)n1; ['COc1cccc(F)c1B(O)O']; ['NC(=O)c1cccc(Br)n1']; [0.999983191]
-NC(=O)c1cccc(-c2csc(N3CCOCC3)n2)n1; [None]; [None]; [0]
-NC(=O)c1cccc([C@H]2CCCN2C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(CC2CCOCC2)n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc(C(N)=O)n2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cccc(C(N)=O)n2)c(=O)n1C; [None]; [None]; [0]
-NC(=O)c1cccc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnccc2N2CCOCC2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
-NC(=O)c1cccc(Cc2cccnc2)n1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(O[C@@H]2CC[C@H](O)CC2)n1; [None]; [None]; [0]
-CC(C)(C)CNc1cccc(C(N)=O)n1; ['CC(C)(C)CN']; ['NC(=O)c1cccc(Cl)n1']; [0.986500084]
-CS(=O)(=O)Nc1ccccc1Cc1cccc(C(N)=O)n1; [None]; [None]; [0]
-CC(C)(C)Oc1cccc(C(N)=O)n1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cccc(C(N)=O)n2)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.999460757, 0.999460757]
-CN(C)c1cc(-c2cccc(C(N)=O)n2)cnn1; [None]; [None]; [0]
-Clc1ncncc1-c1ccccc1; ['Clc1ncncc1Br']; ['OB(O)c1ccccc1']; [0.914403796]
-C[C@@]1(O)CC[C@H](c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
-NC(=O)c1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)n1; [None]; [None]; [0]
-CCOc1ccccc1-c1cncnc1Cl; ['CCOc1ccccc1B(O)O']; ['Clc1ncncc1Br']; [0.999237061]
-NC(=O)c1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; ['NC(=O)c1cccc(Cl)n1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999962807]
-COC(C)(C)CCc1cncnc1Cl; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cncnc2Cl)[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cncnc1Cl; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cncnc2Cl)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cncnc1Cl; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cncnc2Cl)C1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cncnc1Cl; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1C1CCOCC1; [None]; [None]; [0]
-Clc1ncncc1-c1cc[nH]n1; [None]; [None]; [0]
-Clc1ncncc1-c1cccnc1; ['Clc1ncncc1I', 'Clc1ncncc1Br']; ['OB(O)c1cccnc1', 'OB(O)c1cccnc1']; [0.999595582, 0.999595582]
-Cc1cccc(-c2cncnc2Cl)c1; ['Cc1cccc(B(O)O)c1']; ['Clc1ncncc1Br']; [0.969869375]
-Clc1ncncc1-c1ccnc2ccccc12; [None]; [None]; [0]
-Clc1ccccc1-c1cncnc1Cl; ['Clc1ncncc1Br']; ['OB(O)c1ccccc1Cl']; [0.990513086]
-FC(F)(F)c1cccc(-c2cncnc2Cl)c1; ['Clc1ncncc1I', 'Clc1ccncn1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1']; [0.999939322, 0.999939322]
-Fc1ccccc1-c1cncnc1Cl; ['Clc1ncncc1Br']; ['OB(O)c1ccccc1F']; [0.950052381]
-Clc1ncncc1-c1ccccc1Br; ['Clc1ncncc1Br']; ['OB(O)c1ccccc1Br']; [0.922164857]
-FC(F)(F)Oc1ccccc1-c1cncnc1Cl; ['Clc1ncncc1Br']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.999921441]
-Clc1ncncc1-c1cnn(Cc2ccccc2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Clc1ncncc1Br']; [0.99999404]
-N#Cc1ccccc1-c1cncnc1Cl; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cncnc1Cl; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1ccncn1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cncnc1Cl; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cncnc2Cl)cs1; [None]; [None]; [0]
-Clc1ncncc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1cncnc1Cl; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cncnc2Cl)CO1; [None]; [None]; [0]
-OCCn1cc(-c2cncnc2Cl)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Clc1ncncc1Br']; [0.999955177]
-O=C(Nc1cccc(-c2cncnc2Cl)c1)c1ccccc1; [None]; [None]; [0]
-Clc1ncncc1C1CCCCC1; [None]; [None]; [0]
-Clc1ncncc1-c1ccc2c(c1)CCC2; [None]; [None]; [0]
-Clc1ncncc1CC1CCCCC1; [None]; [None]; [0]
-COc1cnc(-c2cncnc2Cl)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1cnco1; [None]; [None]; [0]
-Cc1ccc(-c2cncnc2Cl)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cncnc1Cl; [None]; [None]; [0]
-CNc1nc(C)c(-c2cncnc2Cl)s1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cncnc2Cl)s1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cncnc1Cl; ['Clc1ncncc1Br']; ['OB(O)c1c(Cl)cccc1Cl']; [0.988972604]
-Clc1ncncc1-c1cnc2ccccn12; [None]; [None]; [0]
-Clc1ncncc1-c1cnc2cccnn12; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-Clc1cccc(-c2cncnc2Cl)c1Cl; ['Clc1ncncc1Br']; ['OB(O)c1cccc(Cl)c1Cl']; [0.985750675]
-Clc1ncncc1OC1CCCCC1; ['Clc1ncncc1Br']; ['OC1CCCCC1']; [0.987907112]
-CC(C)(C)Nc1cncnc1Cl; ['CC(C)(C)N']; ['Clc1ncncc1Br']; [0.877533317]
-Cc1ccc(Cl)c(-c2cncnc2Cl)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1ncncc1Br']; [0.978948176]
-Clc1ncncc1NCc1cccnc1; ['Clc1ncncc1Br']; ['NCc1cccnc1']; [0.983590305]
-Nc1nccc(-c2cncnc2Cl)n1; [None]; [None]; [0]
-Clc1ncncc1-c1ccc2ccccc2c1; ['Clc1ncncc1Br']; ['OB(O)c1ccc2ccccc2c1']; [0.999985576]
-Cc1ncc(-c2cncnc2Cl)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2cncnc2Cl)c1; ['COc1cccc(B(O)O)c1']; ['Clc1ncncc1Br']; [0.999349535]
-CCC(C)(C)c1cncnc1Cl; [None]; [None]; [0]
-C[C@H](CO)Nc1cncnc1Cl; ['C[C@@H](N)CO']; ['Clc1ncncc1Br']; [0.995868683]
-Clc1ncncc1Nc1cccnc1; ['Brc1cccnc1', 'Clc1ncncc1Br']; ['Nc1cncnc1Cl', 'Nc1cccnc1']; [0.985920727, 0.985920727]
-Clc1ncncc1NCCc1c[nH]cn1; ['Clc1ncncc1Br']; ['NCCc1c[nH]cn1']; [0.792516291]
-Clc1ccc(-c2cncnc2Cl)s1; ['Clc1cccs1']; ['Clc1ncncc1I']; [0.992955446]
-O=C(Nc1cncnc1Cl)c1cccs1; ['Nc1cncnc1Cl']; ['O=C(O)c1cccs1']; [0.999399662]
-CC(C)COc1cncnc1Cl; ['CC(C)CO']; ['Clc1ncncc1Br']; [0.985539317]
-Clc1ncncc1-n1cnc2ccccc21; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cncnc1Cl; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1cncc2ccccc12; ['Clc1ncncc1Br', 'Clc1cncnc1Cl']; ['OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; [0.997741699, 0.997741699]
-CCCCc1cncnc1Cl; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cncnc2Cl)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cncnc3Cl)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cncnc3Cl)ccc12; [None]; [None]; [0]
-Clc1ncncc1NCCc1ccccc1; ['Clc1ncncc1Br']; ['NCCc1ccccc1']; [0.938815117]
-Cn1ncc2cc(-c3cncnc3Cl)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2cncnc2Cl)n1; [None]; [None]; [0]
-Oc1cccc(-c2cncnc2Cl)c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['Clc1ncncc1Br']; [0.999949932]
-C[C@@H](C[NH+](C)C)Oc1cncnc1Cl; [None]; [None]; [0]
-OCc1cccc(-c2cncnc2Cl)c1; ['Clc1ncncc1Br']; ['OCc1cccc(B(O)O)c1']; [0.99691546]
-[NH3+]CCCc1cncnc1Cl; [None]; [None]; [0]
-Cn1cncc1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1Nc1ccncc1; ['Clc1ncncc1Br']; ['Nc1ccncc1']; [0.997043431]
-[NH3+][C@H]1CCC[C@@H](c2cncnc2Cl)C1; [None]; [None]; [0]
-Cn1cc(-c2cncnc2Cl)cn1; ['Clc1ncncc1Br', 'Clc1ncncc1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B(O)O)cn1']; [0.999991179, 0.999991179]
-Clc1ncncc1-c1cccs1; [None]; [None]; [0]
-Clc1ncncc1-c1ccco1; [None]; [None]; [0]
-CC(C)Nc1cncnc1Cl; ['CC(C)N']; ['Clc1ncncc1Br']; [0.807905912]
-CSc1nc(-c2cncnc2Cl)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1csc2ncncc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cncnc3Cl)cc2s1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cncnc2Cl)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1cncnc1Cl; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cncnc2Cl)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1ncncc1Br', 'Clc1cncnc1Cl']; [0.999649525, 0.999649525]
-CS(=O)(=O)C1CCN(c2cncnc2Cl)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Clc1ncncc1Br', 'Fc1cncnc1Cl']; [0.996201098, 0.996201098]
-Fc1ccc(-c2cncnc2Cl)c(C(F)(F)F)c1; ['Clc1ncncc1Br']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.99971205]
-COc1ccc(-c2cncnc2Cl)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Clc1ncncc1I']; [0.999995112]
-C[C@H](c1cncnc1Cl)C(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2cncnc2Cl)c2ccccc21; [None]; [None]; [0]
-Clc1ncncc1-c1cnn2ccccc12; [None]; [None]; [0]
-CCC(=O)Nc1cncnc1Cl; ['CCC(=O)Cl']; ['Nc1cncnc1Cl']; [0.998488545]
-Clc1ncncc1-c1cnoc1; [None]; [None]; [0]
-CCCn1cc(-c2cncnc2Cl)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Clc1ncncc1I', 'Clc1ncncc1Br']; [0.999994755, 0.999994755]
-Cc1cc(-c2cncnc2Cl)no1; [None]; [None]; [0]
-O=c1cc(-c2cncnc2Cl)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cncnc3Cl)c21; [None]; [None]; [0]
-COc1cc(CCc2cncnc2Cl)cc(OC)c1; [None]; [None]; [0]
-O=c1cc(-c2cncnc2Cl)cc[nH]1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cncnc1Cl; ['CC(C)(C)N=C=O']; ['Nc1cncnc1Cl']; [0.997132421]
-CC(C)(N)c1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cncnc2Cl)cc1; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['Clc1ncncc1Br', 'Clc1ncncc1I']; [0.999497175, 0.999497175]
-O=C([O-])c1cc(-c2cncnc2Cl)ccc1Cl; [None]; [None]; [0]
-CCOC(=O)Cc1cncnc1Cl; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cncnc3Cl)cc12; [None]; [None]; [0]
-Clc1ncncc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-Clc1ncncc1Nc1cnc2ccccc2c1; ['Clc1ncncc1Br']; ['Nc1cnc2ccccc2c1']; [0.996345222]
-CCN(CC)c1cncnc1Cl; [None]; [None]; [0]
-COc1ccncc1Nc1cncnc1Cl; ['COc1ccncc1N']; ['Clc1ncncc1Br']; [0.996110737]
-Clc1ncncc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cncnc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1cnc2[nH]ccc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Clc1ncncc1Br']; [0.999992132]
-CC1(c2cncnc2Cl)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cncnc2Cl)C1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cncnc2Cl)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cncnc2Cl)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cncnc2Cl)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cncnc2Cl)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cncnc2Cl)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncncc1Br']; [0.885978341]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cncnc2Cl)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ncncc1Br', 'Clc1ncncc1Br', 'Clc1ncncc1I']; [0.999999046, 0.999999046, 0.999999046]
-N#C[C@H]1CCOC[C@@H]1c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1ccc(N2CCOCC2)cc1; ['Clc1ncncc1Br']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999936819]
-CS(=O)(=O)c1ccc(-c2cncnc2Cl)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ncncc1Br']; [0.999830246]
-OCc1ccn(-c2cncnc2Cl)n1; [None]; [None]; [0]
-OCCc1cn(-c2cncnc2Cl)cn1; [None]; [None]; [0]
-Cc1cc(-c2cncnc2Cl)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@@H](Nc1cncnc1Cl)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cncnc1Cl)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cncnc1Cl)C(C)(C)C; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cncnc1Cl; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-n1ncc2ccccc21; [None]; [None]; [0]
-Clc1ncncc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-Oc1ncccc1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1nc[nH]n1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cncnc1Cl; [None]; [None]; [0]
-CSc1nc(C)c(-c2cncnc2Cl)[nH]1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cncnc3Cl)[nH]c2c1; [None]; [None]; [0]
-Clc1ncncc1Cc1ccncc1; [None]; [None]; [0]
-COc1ccc(-c2cncnc2Cl)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Clc1ncncc1Br', 'Clc1cncnc1Cl']; [0.999641776, 0.999641776]
-O=C(c1ccccc1)c1ccc(-c2cncnc2Cl)cc1; ['Clc1ncncc1Br', 'Clc1ncncc1I']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.999790728, 0.999790728]
-CC(C)([NH3+])CNc1cncnc1Cl; [None]; [None]; [0]
-Cn1cnnc1-c1cncnc1Cl; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cncnc1Cl; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1nncn1C1CC1; [None]; [None]; [0]
-Clc1ncncc1OC1CCOCC1; ['Clc1ncncc1Br']; ['OC1CCOCC1']; [0.997645795]
-O=C(CCc1cncnc1Cl)NCc1ccccn1; [None]; [None]; [0]
-C[C@@H](Nc1cncnc1Cl)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Clc1ncncc1Br']; [0.788512111]
-Clc1ncncc1-n1ccnc1; ['Clc1ncncc1Br']; ['c1c[nH]cn1']; [0.98380512]
-CCCCc1cc(-c2cncnc2Cl)nc(N)n1; [None]; [None]; [0]
-Clc1ncncc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-Cc1cncc(-c2cncnc2Cl)n1; [None]; [None]; [0]
-CCc1cc(-c2cncnc2Cl)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cncnc2Cl)s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cncnc2Cl)s1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cncnc1Cl; [None]; [None]; [0]
-Nc1nnc(-c2cncnc2Cl)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cncnc1Cl; ['COc1cccc(F)c1B(O)O']; ['Clc1ncncc1Br']; [0.999533653]
-Clc1ncncc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-Clc1ncncc1CC1CCOCC1; [None]; [None]; [0]
-Clc1ncncc1-c1cccc2ccsc12; [None]; [None]; [0]
-Clc1ncncc1-c1nc2ccccc2s1; [None]; [None]; [0]
-Nc1nc(-c2cncnc2Cl)nc2ccccc12; [None]; [None]; [0]
-Clc1ncncc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-Clc1ncncc1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cncnc2Cl)[nH]1; [None]; [None]; [0]
-Clc1ncncc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cncnc1Cl; [None]; [None]; [0]
-Cn1cc(-c2cncnc2Cl)c(=O)n1C; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cncnc2Cl)CC1; [None]; [None]; [0]
-Clc1ncncc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cncnc1Cl; [None]; [None]; [0]
-CC(C)(C)Oc1cncnc1Cl; ['CC(C)(C)O']; ['Clc1ncncc1Br']; [0.832965553]
-Clc1ncncc1Cc1cccnc1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cncnc2Cl)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Clc1ncncc1Br']; [0.992770135]
-CC(C)(C)CNc1cncnc1Cl; ['CC(C)(C)CN']; ['Clc1ncncc1Br']; [0.951910436]
-C[C@@]1(O)CC[C@H](c2cncnc2Cl)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cncnc2Cl)c1; ['Cc1cc(C)cc(B(O)O)c1', 'Cc1cc(C)cc(B(O)O)c1']; ['Clc1ncncc1I', 'Clc1ncncc1Br']; [0.998944581, 0.998944581]
-Clc1ncncc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-CN(C)c1cc(-c2cncnc2Cl)cnn1; [None]; [None]; [0]
-Clc1ncncc1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-CCOc1ccc(-c2cncnc2Cl)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Clc1ncncc1Br', 'Clc1ncncc1Br', 'Clc1ncncc1I']; [0.999998212, 0.999998212, 0.999998212]
-CC(=O)N(C)c1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-N#Cc1ccc(-c2cncnc2Cl)cc1; ['Clc1ncncc1Br']; ['N#Cc1ccc(B(O)O)cc1']; [0.999556]
-COc1ncccc1-c1cncnc1Cl; ['COc1ncccc1B(O)O', 'COc1ncccc1B(O)O']; ['Clc1ncncc1Br', 'Clc1ncncc1I']; [0.997366607, 0.997366607]
-Cc1n[nH]cc1-c1cncnc1Cl; [None]; [None]; [0]
-COc1cc(-c2cncnc2Cl)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['Clc1ncncc1I']; [0.998332798]
-COc1cccc(N2CCC(c3cncnc3Cl)CC2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cncnc2Cl)c1; ['CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Clc1ncncc1I', 'Clc1ncncc1Br']; [0.999938488, 0.999938488]
-COc1ccc(-c2cncnc2Cl)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1']; ['Clc1ncncc1Br', 'Clc1ncncc1I']; [0.998499513, 0.998499513]
-Cn1nncc1-c1cncnc1Cl; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cncnc3Cl)c2c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cncnc1Cl; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cncnc2Cl)c1)C1CC1; [None]; [None]; [0]
-Cc1cc(Nc2cncnc2Cl)sn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cncnc2Cl)cc1; ['Clc1ncncc1Br']; ['O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.999576032]
-NC(=O)c1ccc(-c2cncnc2Cl)cc1; ['Clc1ncncc1Br']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.998692334]
-CS(=O)(=O)Nc1ccc(-c2cncnc2Cl)cn1; [None]; [None]; [0]
-Clc1ncncc1Nc1ncccn1; ['Clc1ncccn1']; ['Nc1cncnc1Cl']; [0.997391343]
-Clc1ncncc1Cc1nccc2ccccc12; [None]; [None]; [0]
-Clc1ccc(-c2cncnc2Cl)cc1; ['Clc1ncncc1Br']; ['OB(O)c1ccc(Cl)cc1']; [0.99938488]
-O=C(Nc1cncnc1Cl)C1CC1; ['Nc1cncnc1Cl']; ['O=C(Cl)C1CC1']; [0.999728]
-Fc1cccc(-c2cncnc2Cl)c1; ['Clc1ncncc1Br']; ['OB(O)c1cccc(F)c1']; [0.9919191]
-OCCOc1ccc(-c2cncnc2Cl)cc1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C']; ['Clc1ncncc1Br']; [0.999999046]
-CC(=O)NCc1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cncnc2Cl)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C']; ['Clc1ncncc1Br']; [0.999999642]
-Clc1ncncc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-O=C(c1ccc(-c2cncnc2Cl)nc1)N1CCOCC1; [None]; [None]; [0]
-Cc1cc(-c2cncnc2Cl)nn1C; [None]; [None]; [0]
-Clc1ncncc1Nc1ccncn1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-Clc1ncncc1Cc1ccccc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cncnc2Cl)cc1; ['CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Clc1ncncc1Br', 'Clc1ncncc1I']; [0.999134243, 0.999134243]
-FC(F)(F)c1ccc(-c2cncnc2Cl)cc1; ['Clc1ncncc1Br', 'Clc1ccncn1']; ['OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1']; [0.999921083, 0.999921083]
-CNS(=O)(=O)Cc1cncnc1Cl; [None]; [None]; [0]
-Oc1ccccc1Cc1cncnc1Cl; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cncnc2Cl)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncncc1I', 'Clc1ncncc1Br']; [0.999903083, 0.999903083]
-CS(=O)(=O)N1CCC(c2cncnc2Cl)CC1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cncnc2Cl)C1; [None]; [None]; [0]
-Clc1ncncc1Cc1cncnc1; [None]; [None]; [0]
-Nc1ncc(Cc2cncnc2Cl)cn1; [None]; [None]; [0]
-Clc1ncncc1-c1cncnc1; ['Clc1ncncc1Br']; ['OB(O)c1cncnc1']; [0.99757427]
-Clc1ncc(-c2cncnc2Cl)cn1; ['Clc1ncncc1Br']; ['OB(O)c1cnc(Cl)nc1']; [0.999928951]
-OC[C@@H](O)Cc1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1ccc(Br)cc1; ['Clc1ncncc1Br']; ['OB(O)c1ccc(Br)cc1']; [0.988328457]
-Cc1c(C(=O)[O-])cccc1-c1cncnc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cncnc1Cl; ['COc1ccc(Cl)cc1B(O)O']; ['Clc1ncncc1Br']; [0.994786739]
-CCNS(=O)(=O)c1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-COc1ccc(Cc2cncnc2Cl)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cncnc2Cl)cc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1cn[nH]c1; ['Clc1ncncc1I', 'Clc1ncncc1Br']; ['OB(O)c1cn[nH]c1', 'OB(O)c1cn[nH]c1']; [0.999855042, 0.999855042]
-Clc1ncncc1-c1ccc[nH]1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cncnc2Cl)cc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1ccc2c(c1)CCO2; ['Clc1ncncc1Br']; ['OB(O)c1ccc2c(c1)CCO2']; [0.999987125]
-Clc1ncncc1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-Cc1cc(-c2cncnc2Cl)sn1; [None]; [None]; [0]
-Clc1ncncc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-Clc1ncncc1-c1cc2ccccc2cn1; [None]; [None]; [0]
-Clc1ncncc1Cn1ccnc1; [None]; [None]; [0]
-COc1cc(-c2cncnc2Cl)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Clc1ncncc1I']; [0.999978423]
-COc1cccc(C(=O)N2CCC(c3cncnc3Cl)CC2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cncnc2Cl)CC1; [None]; [None]; [0]
-Clc1ncncc1-c1cccc2c1OCO2; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cncnc2Cl)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Clc1ncncc1Br']; [0.999192417]
-Fc1ccc(-c2cncnc2Cl)cc1F; [None]; [None]; [0]
-Clc1ncncc1-c1scc2c1OCCO2; [None]; [None]; [0]
-Clc1ncncc1-c1cnc2ccccc2c1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C']; ['Clc1ncncc1Br']; [0.999995947]
-Clc1ncncc1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cncnc2Cl)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cncnc2Cl)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Clc1ncncc1I']; [0.99944526]
-CC(=O)N[C@@H]1CC[C@@H](c2cncnc2Cl)CC1; [None]; [None]; [0]
-COCCOc1cncnc1Cl; ['COCCO']; ['Clc1ncncc1Br']; [0.917395949]
-COc1cc(N2CCOCC2)ccc1-c1cncnc1Cl; [None]; [None]; [0]
-CC1(COc2cncnc2Cl)COC1; ['CC1(CO)COC1']; ['Clc1ncncc1Br']; [0.98859787]
-COc1cccc(C(=O)Nc2cncnc2Cl)c1; ['COc1cccc(C(=O)Cl)c1']; ['Nc1cncnc1Cl']; [0.999584138]
-CSc1cccc(-c2cncnc2Cl)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Clc1ncncc1Br']; [0.999967]
-Cc1cc(-c2cncnc2Cl)nc(N)n1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cncnc3Cl)cc2)CC1; [None]; [None]; [0]
-Fc1ccc(-c2cncnc2Cl)c(Cl)c1; ['Clc1ncncc1Br']; ['OB(O)c1ccc(F)cc1Cl']; [0.997798502]
-O[C@@H]1CC[C@H](c2cncnc2Cl)C1; [None]; [None]; [0]
-COc1ccc(-c2cncnc2Cl)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['Clc1ncncc1Br']; [0.999655366]
-O[C@@H]1CC[C@@H](c2cncnc2Cl)CC1; [None]; [None]; [0]
-Clc1ncncc1-c1ncc(Br)cn1; [None]; [None]; [0]
-CCc1ccc(-c2cncnc2Cl)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1']; ['Clc1ncncc1Br', 'Clc1ncncc1I']; [0.998038709, 0.998038709]
-COc1ccc(CNc2cncnc2Cl)cc1; ['COc1ccc(CN)cc1']; ['Clc1ncncc1Br']; [0.975202]
-Clc1ncncc1-c1ccsc1; ['Clc1ncncc1Br']; ['OB(O)c1ccsc1']; [0.999837399]
-CCCCCc1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1CCCn1cncn1; [None]; [None]; [0]
-CC[NH+](CC)c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1cc2ccccn2n1; [None]; [None]; [0]
-Clc1ccc(-c2cncnc2Cl)c(Cl)c1; ['Clc1ncncc1Br']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.937796891]
-COc1cc(-c2cncnc2Cl)ccc1N1CCOCC1; [None]; [None]; [0]
-Clc1ncncc1-c1ccc(N2CCCCC2)cc1; ['Clc1ncncc1Br']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.999416709]
-Clc1ncncc1-c1ncc2cccn2n1; [None]; [None]; [0]
-Cn1cc(-c2cncnc2Cl)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cncnc3Cl)ccc2O1; [None]; [None]; [0]
-COc1cc(F)c(-c2cncnc2Cl)cc1OC; [None]; [None]; [0]
-COc1ccc2cccc(-c3cncnc3Cl)c2c1; [None]; [None]; [0]
-COc1cc(-c2cncnc2Cl)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['Clc1ncncc1Br']; [0.999987841]
-Oc1ccc2cccc(-c3cncnc3Cl)c2c1; [None]; [None]; [0]
-Cc1csc2c(-c3cncnc3Cl)ncnc12; [None]; [None]; [0]
-Cc1nc(Nc2cncnc2Cl)sc1C; [None]; [None]; [0]
-Clc1cnc(-c2cncnc2Cl)nc1; [None]; [None]; [0]
-Clc1ncncc1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1ccc(-c2cncnc2Cl)o1; [None]; [None]; [0]
-Cc1cc(Nc2cncnc2Cl)nn1C; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cncnc2Cl)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cncnc2Cl)cc1; [None]; [None]; [0]
-O=C(Nc1cncnc1Cl)c1ccco1; ['Nc1cncnc1Cl']; ['O=C(Cl)c1ccco1']; [0.982806265]
-COc1cc(-c2cncnc2Cl)c(OC)cc1Br; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cncnc2Cl)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cncnc3Cl)c1)OCOC2; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cncnc2Cl)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cncnc2Cl)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cncnc3Cl)cc2c1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cncnc2Cl)CC1; [None]; [None]; [0]
-Clc1ncncc1-c1ccc2cn[nH]c2c1; ['Clc1ncncc1Br']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.999937415]
-CC(C)(C)c1ccc(C(=O)Nc2cncnc2Cl)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1']; ['Nc1cncnc1Cl']; [0.99995327]
-COc1cc(OC)cc(-c2cncnc2Cl)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Clc1ncncc1Br', 'Clc1ncncc1Br']; [0.99991715, 0.99991715]
-CC(C)Oc1cncnc1Cl; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cncnc2Cl)c1; [None]; [None]; [0]
-CCn1cc(-c2cncnc2Cl)cn1; [None]; [None]; [0]
-Clc1ncncc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1cc2ccccc2o1; [None]; [None]; [0]
-COC(=O)Nc1cncnc1Cl; ['COC(=O)Cl']; ['Nc1cncnc1Cl']; [0.999111593]
-CNC(=O)c1ccc(-c2cncnc2Cl)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Clc1ncncc1Br', 'Clc1ncncc1Br']; [0.999999404, 0.999999404]
-Cc1nc(-c2cncnc2Cl)c2sccc2n1; [None]; [None]; [0]
-Clc1ncncc1-c1ncc2sccc2n1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cncnc3Cl)ncc2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cncnc1Cl; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cncnc2Cl)cc1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C']; ['Clc1ncncc1Br']; [1.0]
-COc1ccc2nc(-c3cncnc3Cl)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cncnc2Cl)c1)N1CCCC1; [None]; [None]; [0]
-Clc1ncncc1-c1cscn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cncnc2Cl)cc1Cl; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cncnc2Cl)n1; [None]; [None]; [0]
-CCc1cccc(-c2cncnc2Cl)n1; [None]; [None]; [0]
-Cc1cc(-c2cncnc2Cl)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1ccc(-c2cncnc2Cl)nc1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2cncnc2Cl)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Clc1ncncc1Br']; [0.999957561]
-O=C1CCCN1c1cccc(-c2cncnc2Cl)c1; [None]; [None]; [0]
-C[NH+](C)CCCc1cncnc1Cl; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cncnc3Cl)ccc12; [None]; [None]; [0]
-FC1(F)CCC(c2cncnc2Cl)CC1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cncnc2Cl)CC1; [None]; [None]; [0]
-OCCc1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cncnc1Cl; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cncnc2Cl)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cncnc1Cl; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cncnc1Cl; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cncnc2Cl)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cncnc2Cl)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Clc1ncncc1Br']; [0.998403847]
-Fc1ccc(Nc2cncnc2Cl)nc1; ['Clc1ncncc1Br', 'Clc1ncncc1I']; ['Nc1ccc(F)cn1', 'Nc1ccc(F)cn1']; [0.997603, 0.997603]
-CS(=O)(=O)c1ccc(Cl)c(-c2cncnc2Cl)c1; [None]; [None]; [0]
-Clc1ncncc1Nc1ccccn1; [None]; [None]; [0]
-Oc1ccc(-c2cncnc2Cl)cc1; ['Clc1ncncc1Br']; ['OB(O)c1ccc(O)cc1']; [0.994874656]
-C[NH+](C)CCCOc1cncnc1Cl; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cncnc2Cl)c1; [None]; [None]; [0]
-Clc1ncncc1-c1ccncc1; ['Clc1ncncc1Br', 'Clc1cncnc1Cl']; ['OB(O)c1ccncc1', 'OB(O)c1ccncc1']; [0.999741852, 0.999741852]
-Cc1ccc(C(=O)NCCO)cc1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1cccc2ncccc12; [None]; [None]; [0]
-Oc1cc(-c2cncnc2Cl)ccc1Cl; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cncnc1Cl; [None]; [None]; [0]
-Cn1c(-c2cncnc2Cl)nc2ccccc21; ['Clc1ncncc1Br', 'Clc1ncncc1I']; ['Cn1cnc2ccccc21', 'Cn1cnc2ccccc21']; [0.989427149, 0.989427149]
-Clc1ncncc1-c1n[nH]c2ccccc12; [None]; [None]; [0]
-Cc1ccccc1-c1cncnc1Cl; ['Cc1ccccc1B(O)O']; ['Clc1ncncc1Br']; [0.977955401]
-NC(=O)c1ccc(-c2cncnc2Cl)c(F)c1; [None]; [None]; [0]
-Fc1ccc(Oc2cncnc2Cl)cc1; [None]; [None]; [0]
-Oc1ccc(-c2cncnc2Cl)c(Cl)c1; [None]; [None]; [0]
-Clc1ncncc1-c1cc[nH]c1; [None]; [None]; [0]
-Clc1ncncc1-c1cn[nH]c1Cl; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cncnc2Cl)o1; [None]; [None]; [0]
-N#Cc1cnc(-c2cncnc2Cl)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2cncnc2Cl)cn1; ['Clc1ncncc1Br']; ['N#Cc1ccc(B(O)O)cn1']; [0.999939442]
-Clc1ncncc1-c1cnccn1; [None]; [None]; [0]
-Clc1ncncc1-c1ccoc1; ['CC1(C)OB(c2ccoc2)OC1(C)C', 'Clc1ncncc1Br']; ['Clc1ncncc1Br', 'OB(O)c1ccoc1']; [0.999985337, 0.999985337]
-COc1cc(CCc2cncnc2Cl)ccc1O; [None]; [None]; [0]
-Clc1cccc(OCc2cncnc2Cl)c1; [None]; [None]; [0]
-Clc1ncncc1-c1cccc(Br)c1; ['Clc1ncncc1I']; ['OB(O)c1cccc(Br)c1']; [0.999543726]
-O=C([O-])Cc1ccn(-c2cncnc2Cl)c1; [None]; [None]; [0]
-OCCCc1cncnc1Cl; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cncnc2Cl)c1; [None]; [None]; [0]
-Oc1ccc(-c2cncnc2Cl)c(O)c1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cncnc1Cl; [None]; [None]; [0]
-Fc1ccc(-c2cncnc2Cl)cc1Cl; [None]; [None]; [0]
-Clc1ccccc1OCc1cncnc1Cl; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cncnc1Cl; ['Cc1ccc2[nH]ncc2c1B(O)O']; ['Clc1ncncc1Br']; [0.999378562]
-Clc1ccc(CCc2cncnc2Cl)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cncnc1Cl; [None]; [None]; [0]
-Cc1ccc(-c2cncnc2Cl)cc1C; ['Cc1ccc(B(O)O)cc1C']; ['Clc1ncncc1I']; [0.999912262]
-Oc1ccc(Cl)c(-c2cncnc2Cl)c1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cncnc1Cl)OCO2; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cncnc1Cl; [None]; [None]; [0]
-Oc1ncc(-c2cncnc2Cl)cc1Cl; [None]; [None]; [0]
-NC(=O)c1cc(-c2cncnc2Cl)c[nH]1; [None]; [None]; [0]
-O=c1ccccn1Cc1cncnc1Cl; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cncnc3Cl)ccc12; [None]; [None]; [0]
-COCCCc1cncnc1Cl; [None]; [None]; [0]
-Cc1nc2ccc(-c3cncnc3Cl)cc2[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2cncnc2Cl)o1; [None]; [None]; [0]
-Clc1ncncc1-c1nnco1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cncnc3Cl)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; ['Clc1ncncc1Br']; [0.999975443]
-NC(=O)Nc1ccc(-c2cncnc2Cl)cc1; [None]; [None]; [0]
-Oc1cncc(-c2cncnc2Cl)c1; [None]; [None]; [0]
-CNc1nccc(-c2cncnc2Cl)n1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cncnc2Cl)CC1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cncnc1Cl; [None]; [None]; [0]
-Fc1cnc(-c2cncnc2Cl)nc1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cncnc1Cl; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cncnc1Cl; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cncnc1Cl; ['Cc1cc(O)ccc1B(O)O']; ['Clc1ncncc1Br']; [0.993388772]
-Clc1ncncc1-c1ccc(Br)o1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cncnc1Cl; ['Cc1cccc(C)c1B(O)O']; ['Clc1ncncc1Br']; [0.998184502]
-CCc1sccc1-c1cncnc1Cl; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2cncnc2Cl)cc1Cl; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
-Clc1ncncc1-c1nccs1; [None]; [None]; [0]
-Nc1cc(-c2cncnc2Cl)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2cncnc2Cl)n[nH]1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3cncnc3Cl)cc2[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cncnc1Cl; [None]; [None]; [0]
-Clc1ncncc1-c1nncs1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cncnc1Cl; ['Clc1ncncc1Br']; ['OB(O)c1ccc(Br)cc1F']; [0.995353222]
-[O-]c1cccc(-c2cncnc2Cl)c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cncnc3Cl)c2c1; [None]; [None]; [0]
-Cc1csc(-c2cncnc2Cl)n1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cncnc2Cl)c1C; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cncnc2Cl)cc1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C']; ['Clc1ncncc1Br']; [0.999999523]
-Oc1cc(Br)cc(-c2cncnc2Cl)c1; [None]; [None]; [0]
-Cc1ccc(-c2cncnc2Cl)c(C)n1; [None]; [None]; [0]
-Oc1c(F)cc(-c2cncnc2Cl)cc1F; ['Clc1ncncc1Br']; ['Oc1c(F)cc(Br)cc1F']; [0.928488135]
-Cc1nc2ccc(-c3cncnc3Cl)cc2o1; [None]; [None]; [0]
-Cc1cc(-c2cncnc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-Clc1ncncc1OCc1ccccc1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3cncnc3Cl)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cncnc2Cl)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2cncnc2Cl)c(F)c1; ['Clc1ncncc1Br']; ['Oc1ccc(F)cc1F']; [0.999680758]
-Clc1ncncc1CCc1c[nH]c2ccccc12; [None]; [None]; [0]
-Clc1ncncc1OCc1cccc2ccccc12; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2cncnc2Cl)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cncnc1Cl; [None]; [None]; [0]
-Fc1ccccc1Oc1cncnc1Cl; [None]; [None]; [0]
-Fc1ccc(Cc2cncnc2Cl)cc1; [None]; [None]; [0]
-c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccccc1']; [0.999994874]
-Fc1ccc(CCc2cncnc2Cl)c(F)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['CNC(=O)c1ccccc1N']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999918103]
-Fc1ccc(COc2cncnc2Cl)c(F)c1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1cncnc1Cl; ['Nc1cncnc1Cl', 'Clc1ncncc1Br']; ['O=Cc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.999985814, 0.999985814]
-CCOc1ccccc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-O[C@H]1C[C@@H](Nc2ncnc3sc4c(c23)CCC4)C1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['CC(C)S(=O)(=O)c1ccccc1N']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999983191]
-Cc1nnc(-c2ccccc2Nc2ncnc3sc4c(c23)CCC4)[nH]1; [None]; [None]; [0]
-c1ccc2c(Nc3ncnc4sc5c(c34)CCC5)ccnc2c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccnc2ccccc12']; [0.999992728]
-CP(C)(=O)c1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['CP(C)(=O)c1ccccc1N']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999996901]
-c1nc(NC2CCOCC2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['NC1CCOCC1']; [0.999999881]
-c1cncc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cccnc1']; [0.999996662]
-FC(F)(F)c1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cccc(C(F)(F)F)c1']; [0.999998569]
-Clc1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccccc1Cl']; [0.999958754]
-Fc1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccccc1F']; [0.999964952]
-c1nc(Nc2cc[nH]n2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cc[nH]n1']; [0.999962211]
-N#Cc1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['N#Cc1ccccc1N']; [0.999996901]
-Cc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Cc1cccc(N)c1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999999762]
-FC(F)(F)Oc1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccccc1OC(F)(F)F']; [0.999990702]
-Brc1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccccc1Br']; [0.999979496]
-c1ccc(Cn2cc(Nc3ncnc4sc5c(c34)CCC5)cn2)cc1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cnn(Cc2ccccc2)c1']; [0.99999547]
-NC(=O)c1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['NC(=O)c1ccccc1N']; [0.999936581]
-c1cc(Nc2ncnc3sc4c(c23)CCC4)ncn1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccncn1']; [0.999961734]
-O=C([O-])c1ccccc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-Fc1cccc(F)c1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1c(F)cccc1F']; [0.999995232]
-c1ccc(-c2ncc(Nc3ncnc4sc5c(c34)CCC5)[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1)c1ccccc1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cccc(NC(=O)c2ccccc2)c1']; [0.999999762]
-OCCn1cc(Nc2ncnc3sc4c(c23)CCC4)cn1; [None]; [None]; [0]
-c1nc(Nc2ccc3c(c2)CCC3)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccc2c(c1)CCC2']; [0.999997377]
-c1nc(NC2CCCCC2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['NC1CCCCC1']; [0.999979138]
-CC(C)(C)c1nc(Nc2ncnc3sc4c(c23)CCC4)cs1; [None]; [None]; [0]
-COc1cnc(Nc2ncnc3sc4c(c23)CCC4)nc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](Nc2ncnc3sc4c(c23)CCC4)CO1; [None]; [None]; [0]
-c1nc(Nc2cnco2)c2c3c(sc2n1)CCC3; [None]; [None]; [0]
-Cc1ccc(Nc2ncnc3sc4c(c23)CCC4)c(Br)c1; ['Cc1ccc(N)c(Br)c1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999996662]
-Cc1nc2ccccn2c1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-Cc1nc(C)c(Nc2ncnc3sc4c(c23)CCC4)s1; [None]; [None]; [0]
-c1ccn2c(Nc3ncnc4sc5c(c34)CCC5)cnc2c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cnc2ccccn12']; [0.999997]
-c1cnn2c(Nc3ncnc4sc5c(c34)CCC5)cnc2c1; [None]; [None]; [0]
-CNc1nc(C)c(Nc2ncnc3sc4c(c23)CCC4)s1; [None]; [None]; [0]
-Clc1cccc(Cl)c1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1c(Cl)cccc1Cl']; [0.999982476]
-Clc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1Cl; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cccc(Cl)c1Cl']; [0.999967933]
-Cc1nc(N)sc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-Cc1ccc(Cl)c(Nc2ncnc3sc4c(c23)CCC4)c1; ['Cc1ccc(Cl)c(N)c1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999704301]
-COc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['COc1cccc(N)c1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999994636]
-c1cc(Cn2cncn2)cc(Nc2ncnc3sc4c(c23)CCC4)c1; [None]; [None]; [0]
-Nc1nccc(Nc2ncnc3sc4c(c23)CCC4)n1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccnc(N)n1']; [0.999979]
-C[C@@H](Nc1ncnc2sc3c(c12)CCC3)[C@@H](C)O; [None]; [None]; [0]
-Cc1ncc(Nc2ncnc3sc4c(c23)CCC4)[nH]1; [None]; [None]; [0]
-Clc1ccc(Nc2ncnc3sc4c(c23)CCC4)s1; [None]; [None]; [0]
-c1ccc2cc(Nc3ncnc4sc5c(c34)CCC5)ccc2c1; [None]; [None]; [0]
-c1ccc2c(Nc3ncnc4sc5c(c34)CCC5)cncc2c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cncc2ccccc12']; [0.999999285]
-Cn1cc(-c2ccc(Nc3ncnc4sc5c(c34)CCC5)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(Nc3ncnc4sc5c(c34)CCC5)ccc21; ['Clc1ncnc2sc3c(c12)CCC3']; ['Cn1ncc2cc(N)ccc21']; [0.999999642]
-CCCn1cnc(Nc2ncnc3sc4c(c23)CCC4)n1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; [None]; [None]; [0]
-OCc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cccc(CO)c1']; [0.999992132]
-Nc1[nH]nc2cc(Nc3ncnc4sc5c(c34)CCC5)ccc12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](Nc2ncnc3sc4c(c23)CCC4)C1; [None]; [None]; [0]
-Oc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cccc(O)c1']; [0.99999404]
-c1csc(Nc2ncnc3sc4c(c23)CCC4)c1; [None]; [None]; [0]
-c1coc(Nc2ncnc3sc4c(c23)CCC4)c1; [None]; [None]; [0]
-Cn1cncc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Cn1cncc1N']; [0.999792039]
-Cn1cc(Nc2ncnc3sc4c(c23)CCC4)cn1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Cn1cc(N)cn1']; [0.999999404]
-CSc1nc(Nc2ncnc3sc4c(c23)CCC4)c[nH]1; [None]; [None]; [0]
-N#CCCc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; [None]; [None]; [0]
-CC(C)c1oncc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-c1ncc2c(Nc3ncnc4sc5c(c34)CCC5)csc2n1; [None]; [None]; [0]
-CC[C@H](CO)Nc1ncnc2sc3c(c12)CCC3; ['CC[C@@H](N)CO']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999929428]
-OC[C@H](O)CCNc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-CCNc1nc2ccc(Nc3ncnc4sc5c(c34)CCC5)cc2s1; [None]; [None]; [0]
-Fc1ccc(Nc2ncnc3sc4c(c23)CCC4)c(C(F)(F)F)c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccc(F)cc1C(F)(F)F']; [0.999999285]
-COc1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1Cl; ['COc1ccc(N)cc1Cl']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999975085]
-CCC(=O)Nc1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['CCC(=O)Nc1ccc(N)cc1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999987841]
-CC(=O)Nc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['CC(=O)Nc1cccc(N)c1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999998689]
-Cn1cc(Nc2ncnc3sc4c(c23)CCC4)c2ccccc21; [None]; [None]; [0]
-c1nc(Nc2cnoc2)c2c3c(sc2n1)CCC3; [None]; [None]; [0]
-Cc1cc(Nc2ncnc3sc4c(c23)CCC4)no1; ['Cc1cc(N)no1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999999166]
-O=c1cc(Nc2ncnc3sc4c(c23)CCC4)cc[nH]1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cc[nH]c(=O)c1']; [0.999999881]
-c1ccn2ncc(Nc3ncnc4sc5c(c34)CCC5)c2c1; [None]; [None]; [0]
-CCCn1cc(Nc2ncnc3sc4c(c23)CCC4)cn1; ['CCCn1cc(N)cn1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999999523]
-O=c1cc(Nc2ncnc3sc4c(c23)CCC4)ccn1[C@@H2]CO; [None]; [None]; [0]
-CC(C)(N)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; [None]; [None]; [0]
-O=C1CCc2cccc(Nc3ncnc4sc5c(c34)CCC5)c21; [None]; [None]; [0]
-O=C([O-])c1cc(Nc2ncnc3sc4c(c23)CCC4)ccc1Cl; [None]; [None]; [0]
-O=c1[nH]ccc2oc(Nc3ncnc4sc5c(c34)CCC5)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; [None]; [None]; [0]
-c1ccc2c(Nc3ncnc4sc5c(c34)CCC5)c[nH]c2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](Nc2ncnc3sc4c(c23)CCC4)C1; [None]; [None]; [0]
-c1cc2c(Nc3ncnc4sc5c(c34)CCC5)c[nH]c2cn1; [None]; [None]; [0]
-c1nc(Nc2cnc3[nH]ccc3c2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cnc2[nH]ccc2c1']; [0.999997854]
-CC1(Nc2ncnc3sc4c(c23)CCC4)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](Nc2ncnc3sc4c(c23)CCC4)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](Nc2ncnc3sc4c(c23)CCC4)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](Nc2ncnc3sc4c(c23)CCC4)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999999166]
-N#C[C@@H]1CC[C@@H](Nc2ncnc3sc4c(c23)CCC4)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999997735]
-C[C@@H](O)[C@@H](CO)Nc1ncnc2sc3c(c12)CCC3; ['C[C@@H](O)[C@H](N)CO']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999234319]
-CS(=O)(=O)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['CS(=O)(=O)c1ccc(N)cc1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999999285]
-c1nc(Nc2nc[nH]n2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1nc[nH]n1']; [0.999355257]
-N#C[C@H]1CCOC[C@@H]1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-c1nc(Nc2ccc(N3CCOCC3)cc2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccc(N2CCOCC2)cc1']; [0.999999881]
-Oc1ncccc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['NC(=O)c1c(N)cccc1F']; [0.99999845]
-c1nc(Nc2ccc(-n3cncn3)cc2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccc(-n2cncn2)cc1']; [0.999999881]
-Oc1ccc2nc(Nc3ncnc4sc5c(c34)CCC5)[nH]c2c1; [None]; [None]; [0]
-CSc1nc(C)c(Nc2ncnc3sc4c(c23)CCC4)[nH]1; [None]; [None]; [0]
-COc1ccc(Nc2ncnc3sc4c(c23)CCC4)c(OC)c1; ['COc1ccc(N)c(OC)c1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999949455]
-Cc1nc[nH]c1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ccc(C(=O)c2ccccc2)cc1']; [0.999992371]
-c1nc(NCC[NH+]2CCNCC2)c2c3c(sc2n1)CCC3; [None]; [None]; [0]
-Cn1cnnc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-CC(C)n1cnnc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-c1ccc(Cn2cc(Nc3ncnc4sc5c(c34)CCC5)nn2)cc1; [None]; [None]; [0]
-CCc1cc(Nc2ncnc3sc4c(c23)CCC4)nc(N)n1; [None]; [None]; [0]
-c1nc(Nc2nncn2C2CC2)c2c3c(sc2n1)CCC3; [None]; [None]; [0]
-Nc1ncc(Nc2ncnc3sc4c(c23)CCC4)s1; [None]; [None]; [0]
-Nc1nnc(Nc2ncnc3sc4c(c23)CCC4)s1; [None]; [None]; [0]
-CCCCc1cc(Nc2ncnc3sc4c(c23)CCC4)nc(N)n1; [None]; [None]; [0]
-Cc1cncc(Nc2ncnc3sc4c(c23)CCC4)n1; ['Cc1cncc(N)n1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999999523]
-COc1cccc(F)c1Nc1ncnc2sc3c(c12)CCC3; ['COc1cccc(F)c1N']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999997]
-CNC(=O)c1ccc(Nc2ncnc3sc4c(c23)CCC4)s1; [None]; [None]; [0]
-c1ccc2sc(Nc3ncnc4sc5c(c34)CCC5)nc2c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1nc2ccccc2s1']; [0.999998927]
-c1nc(Nc2csc(N3CCOCC3)n2)c2c3c(sc2n1)CCC3; [None]; [None]; [0]
-[NH3+]CCCCNc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-c1cc(Nc2ncnc3sc4c(c23)CCC4)c2sccc2c1; [None]; [None]; [0]
-O=C(NCCCNc1ncnc2sc3c(c12)CCC3)c1cccs1; [None]; [None]; [0]
-c1ccc2nc(Nc3ncnc4sc5c(c34)CCC5)ncc2c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1ncc2ccccc2n1']; [0.999999762]
-c1cnc2c(Nc3ncnc4sc5c(c34)CCC5)c[nH]c2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(Nc2ncnc3sc4c(c23)CCC4)[nH]1; [None]; [None]; [0]
-Cn1cc(Nc2ncnc3sc4c(c23)CCC4)c(=O)n1C; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](Nc2ncnc3sc4c(c23)CCC4)CC1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(Nc2ncnc3sc4c(c23)CCC4)cn1; [None]; [None]; [0]
-c1nc(Nc2ncc3cc[nH]c3n2)c2c3c(sc2n1)CCC3; [None]; [None]; [0]
-COc1ccc(C#N)cc1Nc1ncnc2sc3c(c12)CCC3; ['COc1ccc(C#N)cc1N']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999999642]
-COc1ccc(OC)c(Nc2ncnc3sc4c(c23)CCC4)c1; ['COc1ccc(OC)c(N)c1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999989152]
-Cc1cc(C)cc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Cc1cc(C)cc(N)c1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999999404]
-CN(C)c1cc(Nc2ncnc3sc4c(c23)CCC4)cnn1; [None]; [None]; [0]
-c1cnc2ccc(-c3ncc4ccccc4n3)cc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1ncc2ccccc2n1', 'Br[Mg]c1ccc2ncccc2c1']; ['Clc1ncc2ccccc2n1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ncc2ccccc2n1']; [0.999993086, 0.999993086, 0.999993086]
-CC(=O)N(C)c1ccc(-c2ccc3ncccc3c2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; [0.999967]
-c1ccc2[nH]c(C3CCN(Nc4ncnc5sc6c(c45)CCC6)CC3)nc2c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc4ncccc4c3)c2c1; ['Cc1ccc2nc[nH]c2c1']; ['Fc1ccc2ncccc2c1']; [0.994499207]
-c1ccc(-c2ccc3ncccc3c2)cc1; ['C=CC[Si](CC=C)(CC=C)c1ccccc1']; ['Clc1ccc2ncccc2c1']; [0.963420928]
-c1cnc2ccc(-c3ccc(N4CCOCC4)cc3)cc2c1; ['Ic1ccc(N2CCOCC2)cc1', 'Ic1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999999642, 0.999999642]
-COc1cccc(N2CCC(c3ccc4ncccc4c3)CC2)c1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1ccc2ncccc2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc3ncccc3c2)cc1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['O=C([O-])c1ccccc1']; [0.972088099]
-O=C(Nc1cccc(-c2ccc3ncccc3c2)c1)C1CC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-c1ccc(Cc2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccc3ncccc3c2)cn1; [None]; [None]; [0]
-O=C(c1ccc(-c2ccc3ncccc3c2)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2ccc3ncccc3c2)nc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ccc2ncccc2c1']; [0.999983549]
-C[C@@H](O)COc1ccc(-c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1ccc2ncccc2c1; [None]; [None]; [0]
-c1cnc2ccc(C3CCCCC3)cc2c1; ['BrC1CCCCC1']; ['Brc1ccc2ncccc2c1']; [0.999737799]
-CS(=O)(=O)N1CCC(c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
-c1cnc2ccc(Cc3cncnc3)cc2c1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['CCNS(=O)(=O)c1ccc(Br)cc1']; [0.999996424]
-Nc1ncc(Cc2ccc3ncccc3c2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2ccc3ncccc3c2)C1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc3ncccc3c2)cc1Cl; ['Brc1ccc2ncccc2c1']; ['COc1ccc(Cl)c(OC)c1']; [0.991964221]
-Cc1c(C(=O)[O-])cccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3ncccc3c2)cc1Cl; ['CN(C)c1ccccc1Cl']; ['Ic1ccc2ncccc2c1']; [0.998711705]
-c1ccc(-c2cc(-c3ccc4ncccc4c3)n[nH]2)cc1; [None]; [None]; [0]
-c1cnc2ccc(-c3cc(N4CCOCC4)ccn3)cc2c1; [None]; [None]; [0]
-Cc1cc(-c2ccc3ncccc3c2)sn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc4ncccc4c3)CC2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2ncccc2c1; ['CC(C)(C)NC(N)=O', 'CC(C)(C)NC=O']; ['Clc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1']; [0.990831912, 0.990831912]
-CN(C)C(=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Ic1ccc2ncccc2c1']; [0.999996662]
-c1ccc(Oc2ncccc2-c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc3ncccc3c2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc3ncccc3c2)c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-c1cnc2ccc(C3CCOCC3)cc2c1; ['BrC1CCOCC1', 'Br[Zn]C1CCOCC1']; ['Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; [0.999681473, 0.999681473]
-CCCCCc1ccc2ncccc2c1; ['CCCCCc1ccc(N)cc1']; ['NCCCO']; [0.980818689]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc4ncccc4c3)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['OB(O)c1ccc2ncccc2c1']; [0.999911189]
-c1cnc2ccc(CCCn3cncn3)cc2c1; [None]; [None]; [0]
-c1cnc2ccc(-c3ncc4cccn4n3)cc2c1; [None]; [None]; [0]
-CC[NH+](CC)c1ccc2ncccc2c1; [None]; [None]; [0]
-c1cnc2ccc(-c3cc4ccccn4n3)cc2c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccc4ncccc4c3)ccc2O1; [None]; [None]; [0]
-Clc1cnc(-c2ccc3ncccc3c2)nc1; ['Clc1cnc(I)nc1']; ['OB(O)c1ccc2ncccc2c1']; [0.999992132]
-COc1cc(-c2ccc3ncccc3c2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1csc2c(-c3ccc4ncccc4c3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['OB(O)c1ccc2ncccc2c1']; [0.999930501]
-COc1ccc(OC)c(Cc2ccc3ncccc3c2)c1; ['COc1ccc(OC)c(CCl)c1']; ['OB(O)c1ccc2ncccc2c1']; [0.999588788]
-NC(=O)c1ccc(Cc2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-O=C(Nc1ccc2ncccc2c1)c1ccco1; ['Nc1ccc2ncccc2c1']; ['O=C(Cl)c1ccco1']; [0.999677777]
-c1cnc2ccc(-c3ccc(N4CCCCC4)cc3)cc2c1; ['Brc1ccc2ncccc2c1', 'Brc1ccc(N2CCCCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; [1.0, 1.0]
-c1cc(-c2ccc3ncccc3c2)cc(-n2nccn2)c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3ccc4ncccc4c3)c1)OCOC2; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ccc3ncccc3c2)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1']; [0.999829292, 0.999829292, 0.999829292]
-C[NH+](C)Cc1ccc(-c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc4ncccc4c3)cc2c1; ['Brc1ccc2ncccc2c1']; ['COc1ccc2occc2c1']; [0.996880531]
-c1cncc(-c2ccnc(-c3ccc4ncccc4c3)c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc3ncccc3c2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['OB(O)c1ccc2ncccc2c1']; [0.999997]
-Cc1nc(-c2ccc3ncccc3c2)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-c1cnc2ccc(-c3ncc4sccc4n3)cc2c1; [None]; [None]; [0]
-Clc1ccc2nc(-c3ccc4ncccc4c3)ncc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccc3ncccc3c2)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc4ncccc4c3)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ncccc3c2)c2ccccc21; [None]; [None]; [0]
-FC(F)(F)Oc1ccc2ncccc2c1; ['NCCCO']; ['Nc1ccc(OC(F)(F)F)cc1']; [0.999329686]
-O=C([O-])c1ccc(-c2ccc3ncccc3c2)cc1Cl; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4ncccc4c3)ccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccc3ncccc3c2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3ncccc3c2)cn1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CN(C)c1ccc(B(O)O)cn1', 'Brc1ccc2ncccc2c1', 'CN(C)c1ccc(Br)cn1']; ['CN(C)c1ccc(Br)cn1', 'Ic1ccc2ncccc2c1', 'CN(C)c1ccc(B(O)O)cn1', 'Ic1ccc2ncccc2c1']; [0.999999762, 0.999999762, 0.999999762, 0.999999762]
-Cc1cc(-c2ccc3ncccc3c2)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc4ncccc4c3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1ccc2ncccc2c1']; [0.999990582]
-FC1(F)CCC(c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
-C[NH+](C)CCCc1ccc2ncccc2c1; [None]; [None]; [0]
-c1cnc2ccc(CC3CCOCC3)cc2c1; [None]; [None]; [0]
-O=S1(=O)CCC(c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3ncccc3c2)c(OC)c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['CNC(=O)c1ccc(Br)c(OC)c1']; [0.999995112]
-CN(C)C(=O)c1ccc(-c2ccc3ncccc3c2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'CCNC(=O)c1ccc(Br)cc1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; [0.999996901, 0.999996901, 0.999996901, 0.999996901]
-C[NH+](C)CCCOc1ccc2ncccc2c1; [None]; [None]; [0]
-Cn1c(-c2ccc3ncccc3c2)nc2ccccc21; ['Clc1ccc2ncccc2c1']; ['Cn1cnc2ccccc21']; [0.97285527]
-Cc1cc(F)ccc1-c1ccc2ncccc2c1; ['Cc1cc(F)ccc1Br', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'Cc1cc(F)ccc1B(O)O']; [0.999997616, 0.999997616]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3ncccc3c2)c(F)c1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-Clc1ccc(CCc2ccc3ncccc3c2)cc1; ['Brc1ccc2ncccc2c1', 'Cc1ccc2ncccc2c1']; ['Clc1ccc(CCBr)cc1', 'Clc1ccc(CBr)cc1']; [0.996718347, 0.996718347]
-Cc1ccccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc2ncccc2c1; ['Cc1ccc2[nH]ncc2c1Br', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'Cc1ccc2[nH]ncc2c1B(O)O']; [0.999997616, 0.999997616]
-O=C([O-])Cc1ccn(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
-COCCCc1ccc2ncccc2c1; ['COCCBr']; ['Cc1ccc2ncccc2c1']; [0.972809553]
-NC(=O)c1cc(-c2ccc3ncccc3c2)c[nH]1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1ccc3ncccc3c1)OCO2; ['Clc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2ncccc2c1']; [0.997309566]
-Cc1nnc(-c2ccc3ncccc3c2)o1; ['COC(C)(OC)OC', 'CC(=O)NN']; ['NNC(=O)c1ccc2ncccc2c1', 'O=C(O)c1ccc2ncccc2c1']; [0.999683619, 0.999683619]
-c1cnc2ccc(-c3nnco3)cc2c1; ['COC(OC)OC']; ['NNC(=O)c1ccc2ncccc2c1']; [0.999997258]
-Fc1cnc(-c2ccc3ncccc3c2)nc1; ['Fc1cnc(Cl)nc1']; ['OB(O)c1ccc2ncccc2c1']; [0.999982]
-CNC(=O)c1cccc2cc(-c3ccc4ncccc4c3)ccc12; [None]; [None]; [0]
-c1cnc2ccc(-c3cnc4[nH]ccc4c3)cc2c1; ['Brc1cnc2[nH]ccc2c1', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'Brc1cnc2[nH]ccc2c1']; [0.999987483, 0.999987483]
-CNc1nccc(-c2ccc3ncccc3c2)n1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccc2ncccc2c1; ['CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1']; ['OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1']; [0.99381423, 0.99381423]
-Brc1ccc(-c2ccc3ncccc3c2)o1; ['Brc1ccco1', 'Brc1ccc2ncccc2c1']; ['Ic1ccc2ncccc2c1', 'Brc1ccco1']; [0.988154054, 0.988154054]
-c1cnc2ccc(-c3nncs3)cc2c1; ['Brc1nncs1', 'Brc1nncs1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1']; [0.99999404, 0.99999404]
-[O-]c1cccc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ccc3ncccc3c2)cc1; ['O=C(NC1CC1)c1ccc(I)cc1', 'Ic1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999999762, 0.999999762]
-Nc1cc(-c2ccc3ncccc3c2)n[nH]1; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3ncccc3c2)c1C; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3ccc4ncccc4c3)c2c1; [None]; [None]; [0]
-c1cnc2ccc(CCc3c[nH]c4ccccc34)cc2c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2ccc3ncccc3c2)cc1; ['Fc1ccc(-c2c[nH]cn2)cc1']; ['Ic1ccc2ncccc2c1']; [0.996440828]
-Cc1cc(-c2ccc3ncccc3c2)ccc1C(N)=O; [None]; [None]; [0]
-c1cnc2ccc(OCc3cccc4ccccc34)cc2c1; ['BrCc1cccc2ccccc12']; ['Oc1ccc2ncccc2c1']; [0.999839664]
-Clc1ccc(-c2[nH]ncc2-c2ccc3ncccc3c2)cc1; ['Brc1ccc2ncccc2c1']; ['Clc1ccc(-c2ccn[nH]2)cc1']; [0.978952289]
-Cc1onc(-c2ccccc2)c1-c1ccc2ncccc2c1; [None]; [None]; [0]
-Fc1ccc(COc2ccc3ncccc3c2)c(F)c1; ['Fc1ccc(CBr)c(F)c1', 'Fc1ccc2ncccc2c1']; ['Oc1ccc2ncccc2c1', 'OCc1ccc(F)cc1F']; [0.999997, 0.999997]
-Fc1ccc(CCc2ccc3ncccc3c2)c(F)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ncc3ccccc3n2)s1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ncc(C(N)=O)s3)CC2)c1; [None]; [None]; [0]
-Cn1nncc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-COc1ncccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-COc1cc(-c2ncc(C(N)=O)s2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1cc(-c2ncc(C(N)=O)s2)cn1; [None]; [None]; [0]
-COc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnc3cccnn23)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(O)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(NC(=O)C3CC3)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(N3CCOCC3)cc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2nc3ccccc3[nH]2)s1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ncc(C(N)=O)s2)cn1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccccc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(C(=O)[O-])cc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(C(=O)Nc3ccccc3)cc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(Nc2ncccn2)s1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(Cl)cc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(F)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(Cc2nccc3ccccc23)s1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(OCCO)cc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(CCCO)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(C(=O)N3CCOCC3)cc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(C3CCNCC3)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(C(=O)N3CCOCC3)cn2)s1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ncc(C(N)=O)s2)nn1C; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(C(F)(F)F)cc2)s1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ncc(C(N)=O)s2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(C2CCCCC2)s1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc([C@H]2CCN(C(=O)c3ccccc3)C2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnc(Cl)nc2)s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cncnc2)s1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ncc(C(N)=O)s2)cc1Cl; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(Br)cc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc[nH]2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2c[nH]c3ccccc23)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cn[nH]c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cc(N3CCOCC3)ccn2)s1; [None]; [None]; [0]
-Cc1cc(-c2ncc(C(N)=O)s2)sn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ncc(C(N)=O)s2)cc1Cl; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cc3ccccc3cn2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cc(-c3ccccc3)[nH]n2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc3c(c2)CCO3)s1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-COc1cc(-c2ncc(C(N)=O)s2)ccc1O; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ncc(C(N)=O)s3)CC2)c1; [None]; [None]; [0]
-NC(=O)c1cnc([C@@H]2CC[C@@H]([NH3+])CC2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc3c2OCO3)s1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2scc3c2OCCO3)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(F)c(F)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccnc2Oc2ccccc2)s1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ncc(C(N)=O)s2)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnc3ccccc3c2)s1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccco2)s1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ncc(C(N)=O)s3)cc2)CC1; [None]; [None]; [0]
-COCCc1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc([C@@H]2CC[C@@H](O)CC2)s1; [None]; [None]; [0]
-CSc1cccc(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-Cc1cc(-c2ncc(C(N)=O)s2)nc(N)n1; [None]; [None]; [0]
-NC(=O)c1cnc(C2CCOCC2)s1; [None]; [None]; [0]
-CC[C@@H](CO)c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ncc(Br)cn2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(F)cc2Cl)s1; [None]; [None]; [0]
-NC(=O)c1cnc([C@H]2CC[C@@H](O)C2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(Cl)cc2Cl)s1; [None]; [None]; [0]
-COc1ccc(-c2ncc(C(N)=O)s2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-COc1cc(-c2ncc(C(N)=O)s2)ccc1N1CCOCC1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccsc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ncc3cccn3n2)s1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-Cn1cc(-c2ncc(C(N)=O)s2)c(C(F)(F)F)n1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cc3ccccn3n2)s1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ncc(C(N)=O)s3)ccc2O1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(N3CCCCC3)cc2)s1; [None]; [None]; [0]
-COc1ccc2cccc(-c3ncc(C(N)=O)s3)c2c1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc3ccc(O)cc23)s1; [None]; [None]; [0]
-COc1cc(-c2ncc(C(N)=O)s2)ccc1Cl; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ncc(Cl)cn2)s1; [None]; [None]; [0]
-COc1cc(F)c(-c2ncc(C(N)=O)s2)cc1OC; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(-n3nccn3)c2)s1; [None]; [None]; [0]
-Cc1ccc(-c2ncc(C(N)=O)s2)o1; [None]; [None]; [0]
-Cc1csc2c(-c3ncc(C(N)=O)s3)ncnc12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
-COc1cc(-c2ncc(C(N)=O)s2)c(OC)cc1Br; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cc(F)cc3c2OCOC3)s1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc3cn[nH]c3c2)s1; [None]; [None]; [0]
-COc1ccc2oc(-c3ncc(C(N)=O)s3)cc2c1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cc(-c3cccnc3)ccn2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cc3ccccc3o2)s1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ncc3sccc3n2)s1; [None]; [None]; [0]
-Cc1nc(-c2ncc(C(N)=O)s2)c2sccc2n1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ncc3cc(Cl)ccc3n2)s1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-COc1ccc2nc(-c3ncc(C(N)=O)s3)[nH]c2c1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(NC(=O)N3CCCC3)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(OC(F)(F)F)cc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(C(=O)[O-])c(Cl)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cscn2)s1; [None]; [None]; [0]
-Cn1cc(-c2ncc(C(N)=O)s2)c2ccccc21; [None]; [None]; [0]
-CCc1cccc(-c2ncc(C(N)=O)s2)n1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ncc(C(N)=O)s2)n1; [None]; [None]; [0]
-Cc1ccc(-c2ncc(C(N)=O)s2)nc1C; [None]; [None]; [0]
-Cc1cc(-c2ncc(C(N)=O)s2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2ncc(C(N)=O)s2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ncc(C(N)=O)s3)ccc12; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(N3CCCC3=O)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(C2CCC(F)(F)CC2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(C2CCS(=O)(=O)CC2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(CCO)cc2)s1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ncc(C(N)=O)s2)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncc(C(N)=O)s2)c(OC)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1ncc(C(N)=O)s1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-CCOc1ccccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc([C@@H]2C[C@H](O)C2)s1; [None]; [None]; [0]
-COC(C)(C)CCc1ncc(C(N)=O)s1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ncc(C(N)=O)s2)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(Cc2cc(F)cc(F)c2)s1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccnc3ccccc23)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cc[nH]n2)s1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccnc2)s1; [None]; [None]; [0]
-Cc1cccc(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(C(F)(F)F)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccccc2Cl)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccccc2Br)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccccc2OC(F)(F)F)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccccc2F)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccccc2C(=O)[O-])s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnn(Cc3ccccc3)c2)s1; [None]; [None]; [0]
-N#Cc1ccccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2c(F)cccc2F)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccccc2C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccncn2)s1; [None]; [None]; [0]
-NC(=O)c1cnc([C@@H](N)c2ccco2)s1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ncc(C(N)=O)s2)cs1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnc(-c3ccccc3)[nH]2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(NC(=O)c3ccccc3)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnn(CCO)c2)s1; [None]; [None]; [0]
-COc1cnc(-c2ncc(C(N)=O)s2)nc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc3c(c2)CCC3)s1; [None]; [None]; [0]
-NC(=O)c1cnc([C@@H]2CC[C@@H](CO)OC2)s1; [None]; [None]; [0]
-CC(C)C(=O)COc1ncc(C(N)=O)s1; [None]; [None]; [0]
-Cc1ccc(-c2ncc(C(N)=O)s2)c(Br)c1; [None]; [None]; [0]
-NC(=O)c1cnc(CC2CCCCC2)s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnc3ccccn23)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnco2)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2c(Cl)cccc2Cl)s1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ncc(C(N)=O)s2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(Cn3cncn3)c2)s1; [None]; [None]; [0]
-CC(C)(C)Nc1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(Cl)c2Cl)s1; [None]; [None]; [0]
-NC(=O)c1cnc(OC2CCCCC2)s1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-NC(=O)c1cnc(NCc2cccnc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccnc(N)n2)s1; [None]; [None]; [0]
-Cc1ncc(-c2ncc(C(N)=O)s2)[nH]1; [None]; [None]; [0]
-CCC(C)(C)c1ncc(C(N)=O)s1; [None]; [None]; [0]
-COc1cccc(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc3ccccc3c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(Cl)s2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(Nc2cccnc2)s1; [None]; [None]; [0]
-C[C@H](CO)Nc1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-n2cnc3ccccc32)s1; [None]; [None]; [0]
-NC(=O)c1cnc(NCCc2c[nH]cn2)s1; [None]; [None]; [0]
-CC(C)COc1ncc(C(N)=O)s1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(NC(=O)c2cccs2)s1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(CC(=O)[O-])c2)s1; [None]; [None]; [0]
-CCCCc1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cncc3ccccc23)s1; [None]; [None]; [0]
-NC(=O)c1cnc(NCCc2ccccc2)s1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ncc(C(N)=O)s3)cc2)cn1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc3c(N)[nH]nc3c2)s1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ncc(C(N)=O)s3)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2ncc(C(N)=O)s2)n1; [None]; [None]; [0]
-NC(=O)c1cnc(CCC[NH3+])s1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(CO)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(Nc2ccncc2)s1; []; []; []
-Cn1cncc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc([C@@H]2CCC[C@H]([NH3+])C2)s1; [None]; [None]; [0]
-CSc1nc(-c2ncc(C(N)=O)s2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2csc3ncncc23)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccs2)s1; [None]; [None]; [0]
-N#CCCc1cccc(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-CC(C)Nc1ncc(C(N)=O)s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(F)cc2C(F)(F)F)s1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ncc(C(N)=O)s3)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
-NC(=O)c1cnc(OC(F)(F)F)s1; [None]; [None]; [0]
-C[C@H](c1ncc(C(N)=O)s1)C(F)(F)F; [None]; [None]; [0]
-CCC(=O)Nc1ncc(C(N)=O)s1; [None]; [None]; [0]
-COc1ccc(-c2ncc(C(N)=O)s2)cc1Cl; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnn3ccccc23)s1; [None]; [None]; [0]
-Cc1cc(-c2ncc(C(N)=O)s2)no1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnoc2)s1; [None]; [None]; [0]
-CCCn1cc(-c2ncc(C(N)=O)s2)cn1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cc[nH]c(=O)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc3c2C(=O)CC3)s1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccn([C@@H2]CO)c(=O)c2)s1; [None]; [None]; [0]
-CCOC(=O)Cc1ncc(C(N)=O)s1; [None]; [None]; [0]
-COc1cc(CCc2ncc(C(N)=O)s2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(Cl)c(C(=O)[O-])c2)s1; [None]; [None]; [0]
-CCN(CC)c1ncc(C(N)=O)s1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cc3c(=O)[nH]ccc3o2)s1; [None]; [None]; [0]
-COc1ccncc1Nc1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(Nc2cnc3ccccc3c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2c[nH]c3cnccc23)s1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc([C@H](CO)Cc2ccccc2)s1; [None]; [None]; [0]
-CC1(c2ncc(C(N)=O)s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-NC(=O)c1cnc([C@@H]2CC[C@@H](NC(=O)O)C2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnc3[nH]ccc3c2)s1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ncc(C(N)=O)s2)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ncc(C(N)=O)s1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
-Cc1cc(-c2ncc(C(N)=O)s2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-NC(=O)c1cnc(-n2ccc(CO)n2)s1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
-C[C@H](Nc1ncc(C(N)=O)s1)C(C)(C)C; [None]; [None]; [0]
-C[C@H](Nc1ncc(C(N)=O)s1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1cnc(-n2cnc(CCO)c2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc(F)c2C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-n2ncc3ccccc32)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2nc[nH]n2)s1; [None]; [None]; [0]
-C[C@@H](Nc1ncc(C(N)=O)s1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccnc2O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-n2ncc3c(O)cccc32)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2nc3ccc(O)cc3[nH]2)s1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ncc(C(N)=O)s2)[nH]1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(-n3cncn3)cc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(Cc2ccncc2)s1; [None]; [None]; [0]
-COc1ccc(-c2ncc(C(N)=O)s2)c(OC)c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ccc(C(=O)c3ccccc3)cc2)s1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ncc(C(N)=O)s1; [None]; [None]; [0]
-Cn1cnnc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(OC2CCOCC2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2nncn2C2CC2)s1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-n2ccnc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(CCC(=O)NCc2ccccn2)s1; [None]; [None]; [0]
-CCc1cc(-c2ncc(C(N)=O)s2)nc(N)n1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cn(Cc3ccccc3)nn2)s1; [None]; [None]; [0]
-C[C@@H](Nc1ncc(C(N)=O)s1)C(C)(C)C; [None]; [None]; [0]
-NC(=O)c1cnc(-c2nnc(N)s2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnc(N)s2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ncc(C(N)=O)s2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncc(C(N)=O)s2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2csc(N3CCOCC3)n2)s1; [None]; [None]; [0]
-Cc1cncc(-c2ncc(C(N)=O)s2)n1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2nc3ccccc3s2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc([C@H]2CCCN2C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc3ccsc23)s1; [None]; [None]; [0]
-NC(=O)c1cnc(CC2CCOCC2)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ncc(C(N)=O)s2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2ncc(C(N)=O)s2)c(=O)n1C; [None]; [None]; [0]
-NC(=O)c1cnc(-c2nc(N)c3ccccc3n2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cnccc2N2CCOCC2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2ncc3cc[nH]c3n2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2c[nH]c3cccnc23)s1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(Cc2cccnc2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(O[C@@H]2CC[C@H](O)CC2)s1; [None]; [None]; [0]
-CC(C)(C)CNc1ncc(C(N)=O)s1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ncc(C(N)=O)s1; [None]; [None]; [0]
-CC(C)(C)Oc1ncc(C(N)=O)s1; [None]; [None]; [0]
-CN(C)c1cc(-c2ncc(C(N)=O)s2)cnn1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(N2CCC(c3nc4ccccc4[nH]3)CC2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(N2CC=C(c3c[nH]c4ccccc34)CC2)s1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ncc3ccccc3n2)CC1; [None]; [None]; [0]
-Cc1ccc2ncn([C@@H]3CC[C@@H](O)CC3)c2c1; [None]; [None]; [0]
-COc1cccc(N2CCC([C@@H]3CC[C@@H](O)CC3)CC2)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc(N3CCOCC3)cc2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccccc2)CC1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-O=C([O-])c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc([C@@H]2CC[C@@H](O)CC2)c1)C1CC1; [None]; [None]; [0]
-CC(=O)NCc1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-O=C(c1ccc([C@@H]2CC[C@@H](O)CC2)nc1)N1CCOCC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc([C@@H]2CC[C@@H](O)CC2)cn1; [None]; [None]; [0]
-CNS(=O)(=O)C[C@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-O[C@H]1CC[C@H](Cc2ccccc2)CC1; [None]; [None]; [0]
-O=C(c1ccc([C@@H]2CC[C@@H](O)CC2)cc1)N1CCOCC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H]([C@@H]2CC[C@@H](O)CC2)C1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-Nc1ncc(C[C@H]2CC[C@H](O)CC2)cn1; [None]; [None]; [0]
-O[C@H]1CC[C@H](Cc2cncnc2)CC1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CN(C)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1Cl; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](O)CC2)sn1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cc(N3CCOCC3)ccn2)CC1; [None]; [None]; [0]
-CC(C)(C)NC(=O)N[C@@H]1CC[C@@H](O)CC1; ['CC(C)(C)N=C=O']; ['N[C@H]1CC[C@H](O)CC1']; [0.999937892]
-COc1cc(OC)c([C@@H]2CC[C@@H](O)CC2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC([C@@H]3CC[C@@H](O)CC3)CC2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc([C@@H]2CC[C@@H](O)CC2)cn1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cc(-c3ccccc3)[nH]n2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cccnc2Oc2ccccc2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)N[C@@H]2CC[C@@H](O)CC2)c1; ['CCOC(=O)c1cccc(OC)c1']; ['N[C@H]1CC[C@H](O)CC1']; [0.999304175]
-CCN1CCN(Cc2ccc([C@@H]3CC[C@@H](O)CC3)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CC[NH+](CC)[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-O[C@H]1CC[C@H](CCCn2cncn2)CC1; [None]; [None]; [0]
-CCCCC[C@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@@H](O)CC2)ccc1N1CCOCC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cc3ccccn3n2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ncc(Cl)cn2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ncc3cccn3n2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ccc(N3CCCCC3)cc2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cccc(-n3nccn3)c2)CC1; [None]; [None]; [0]
-CC1(C)Cc2cc([C@@H]3CC[C@@H](O)CC3)ccc2O1; [None]; [None]; [0]
-COc1ccc(OC)c(C[C@H]2CC[C@H](O)CC2)c1; [None]; [None]; [0]
-O=C(N[C@@H]1CC[C@@H](O)CC1)c1ccco1; ['N[C@H]1CC[C@H](O)CC1']; ['O=C(Cl)c1ccco1']; [0.999785602]
-Cc1csc2c([C@@H]3CC[C@@H](O)CC3)ncnc12; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(C[C@H]2CC[C@H](O)CC2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(C[C@H]2CC[C@H](O)CC2)cc1; [None]; [None]; [0]
-COc1ccc2oc([C@@H]3CC[C@@H](O)CC3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cc(F)cc3c2OCOC3)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)N[C@@H]2CC[C@@H](O)CC2)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(CCl)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['N[C@H]1CC[C@H](O)CC1', 'N[C@H]1CC[C@H](O)CC1', 'N[C@H]1CC[C@H](O)CC1']; [0.999640584, 0.999640584, 0.999640584]
-O[C@@H]1CC[C@@H](c2cc(-c3cccnc3)ccn2)CC1; [None]; [None]; [0]
-Cc1nc([C@@H]2CC[C@@H](O)CC2)c2sccc2n1; [None]; [None]; [0]
-Cn1cc(Br)cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ncc3cc(Cl)ccc3n2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2ncc3sccc3n2)CC1; [None]; [None]; [0]
-COc1ccc2nc([C@@H]3CC[C@@H](O)CC3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=C(O)[C@H]1CC[C@H](O)CC1']; [0.994596183]
-CC(C)c1nn(C)cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc([C@@H]2CC[C@@H](O)CC2)c1)N1CCCC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](OC(F)(F)F)CC1; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@@H](O)CC2)c2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc([C@@H]2CC[C@@H](O)CC2)cc1Cl; [None]; [None]; [0]
-Cn1ncc2cc([C@@H]3CC[C@@H](O)CC3)ccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc([C@@H]2CC[C@@H](O)CC2)n1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@@H](O)CC2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc([C@@H]2CC[C@@H](O)CC2)cn1; [None]; [None]; [0]
-C[NH+](C)CCC[C@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-Cc1n[nH]c2cc([C@@H]3CC[C@@H](O)CC3)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)c(Cl)c1; [None]; [None]; [0]
-O[C@H]1CC[C@H](CC2CCOCC2)CC1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CCNC(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)c(OC)c1; [None]; [None]; [0]
-C[NH+](C)CCCO[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccccc1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2c(N)cc[nH]c2=O)[nH]1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Cc1cccc(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1C1CCOCC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1C1CCCCC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2c(N)cc[nH]c2=O)cs1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-COc1cnc(-c2c(N)cc[nH]c2=O)nc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1[C@@H]1CC[C@@H](CO)OC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2c(N)cc[nH]c2=O)s1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3c(N)cc[nH]c3=O)cc2)cn1; [None]; [None]; [0]
-C[C@@H](c1c(N)cc[nH]c1=O)[C@@H](C)O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1[C@@H]1CCC[C@H]([NH3+])C1; [None]; [None]; [0]
-Cn1ncc2cc(-c3c(N)cc[nH]c3=O)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2c(N)cc[nH]c2=O)n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1csc2ncncc12; [None]; [None]; [0]
-CC(C)c1oncc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-CSc1nc(-c2c(N)cc[nH]c2=O)c[nH]1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnn2ccccc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3c(N)cc[nH]c3=O)cc2s1; [None]; [None]; [0]
-Cn1cc(-c2c(N)cc[nH]c2=O)c2ccccc21; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cc[nH]c(=O)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(Cl)c(C(=O)[O-])c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccn([C@@H2]CO)c(=O)c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-CC1(c2c(N)cc[nH]c2=O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1[C@@H]1CC[C@@H](NC(=O)O)C1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2c(N)cc[nH]c2=O)CC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](CO)c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1nc[nH]n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2c(N)cc[nH]c2=O)[nH]1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1CC[NH+]1CCNCC1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Cn1cnnc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1nncn1C1CC1; [None]; [None]; [0]
-CCc1cc(-c2c(N)cc[nH]c2=O)nc(N)n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-CCCCc1cc(-c2c(N)cc[nH]c2=O)nc(N)n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1CCCC[NH3+]; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c(N)cc[nH]c2=O)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2c(N)cc[nH]c2=O)[nH]1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1CCCNC(=O)c1cccs1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ncc2ccccc2n1; [None]; [None]; [0]
-Cn1cc(-c2c(N)cc[nH]c2=O)c(=O)n1C; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-CN(C)c1cc(-c2c(N)cc[nH]c2=O)cnn1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3c(N)cc[nH]c3=O)CC2)c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3c(N)cc[nH]c3=O)c2c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-n1ncc2ccccc2c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2c(N)cc[nH]c2=O)cn1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Cc1ccccc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1c(N)cc[nH]c1=O; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Cc1cncnc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2c(N)cc[nH]c2=O)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2c(N)cc[nH]c2=O)cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
-COc1cc(OC)c(-c2c(N)cc[nH]c2=O)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-CN(C)c1ccc(-c2c(N)cc[nH]c2=O)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2c(N)cc[nH]c2=O)sn1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1[C@@H]1CC[C@@H]([NH3+])CC1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3c(N)cc[nH]c3=O)CC2)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2c(N)cc[nH]c2=O)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2c(N)cc[nH]c2=O)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3c(N)cc[nH]c3=O)cc2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-CCCCCc1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ncc2cccn2n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1CCCn1cncn1; [None]; [None]; [0]
-CC[NH+](CC)c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cc2ccccn2n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3c(N)cc[nH]c3=O)ccc2O1; [None]; [None]; [0]
-COc1cc(-c2c(N)cc[nH]c2=O)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ncc(Cl)cn1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-Cc1csc2c(-c3c(N)cc[nH]c3=O)ncnc12; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1NC(=O)c1ccco1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2c(N)cc[nH]c2=O)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2c(N)cc[nH]c2=O)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2c(N)cc[nH]c2=O)CC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3c(N)cc[nH]c3=O)cc2c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Cc1nc(-c2c(N)cc[nH]c2=O)c2sccc2n1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ncc2sccc2n1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1OC(F)(F)F; [None]; [None]; [0]
-COc1ccc2nc(-c3c(N)cc[nH]c3=O)[nH]c2c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1-c1ccc(C(=O)[O-])c(Cl)c1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2c(N)cc[nH]c2=O)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2c(N)cc[nH]c2=O)cn1; [None]; [None]; [0]
-Cc1cc(-c2c(N)cc[nH]c2=O)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3c(N)cc[nH]c3=O)ccc12; [None]; [None]; [0]
-C[NH+](C)CCCc1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1C1CCC(F)(F)CC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1C1CCS(=O)(=O)CC1; [None]; [None]; [0]
-Nc1cc[nH]c(=O)c1CC1CCOCC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2c(N)cc[nH]c2=O)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c(N)cc[nH]c2=O)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2c(N)cc[nH]c2=O)cc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1c(N)cc[nH]c1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2c(N)cc[nH]c2=O)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1c(N)cc[nH]c1=O; [None]; [None]; [0]
-N#Cc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(-c3ncc4ccccc4n3)cccn2n1; [None]; [None]; [0]
-COc1ncccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cccn4nc(N)nc34)CC2)c1; [None]; [None]; [0]
-COc1cc(-c2cccn3nc(N)nc23)cc(OC)c1OC; [None]; [None]; [0]
-Cn1nncc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-Nc1nc2c(-c3cnc4cccnn34)cccn2n1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Cn1cc(-c2cccn3nc(N)nc23)cn1; [None]; [None]; [0]
-COc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(N4CCOCC4)cc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(O)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3nc4ccccc4[nH]3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccccc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(NC(=O)C4CC4)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(C(=O)[O-])cc3)cccn2n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cccn3nc(N)nc23)cn1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(C(=O)Nc4ccccc4)cc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(Nc3ncccn3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(Cl)cc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(Cc3nccc4ccccc34)cccn2n1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(F)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(CCCO)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(C(=O)N4CCOCC4)cn3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(C4CCNCC4)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(OCCO)cc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(C(=O)N4CCOCC4)cc3)cccn2n1; [None]; [None]; [0]
-Cc1cc(-c2cccn3nc(N)nc23)nn1C; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(C(F)(F)F)cc3)cccn2n1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(C3CCCCC3)cccn2n1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cccn3nc(N)nc23)s1; [None]; [None]; [0]
-Nc1nc2c(-c3cnc(Cl)nc3)cccn2n1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
-Nc1nc2c([C@H]3CCN(C(=O)c4ccccc4)C3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cncnc3)cccn2n1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(Br)cc3)cccn2n1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccn3nc(N)nc23)cc1Cl; [None]; [None]; [0]
-Nc1nc2c(-c3cn[nH]c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc[nH]3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3c[nH]c4ccccc34)cccn2n1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cccn3nc(N)nc23)cc1Cl; [None]; [None]; [0]
-Nc1nc2c(-c3cc(N4CCOCC4)ccn3)cccn2n1; [None]; [None]; [0]
-Cc1cc(-c2cccn3nc(N)nc23)sn1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc4c(c3)CCO4)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cc(-c4ccccc4)[nH]n3)cccn2n1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-Nc1nc2c(-c3cc4ccccc4cn3)cccn2n1; [None]; [None]; [0]
-COc1cc(-c2cccn3nc(N)nc23)ccc1O; [None]; [None]; [0]
-Nc1nc2c(-c3cccc4c3OCO4)cccn2n1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cccn4nc(N)nc34)CC2)c1; [None]; [None]; [0]
-Nc1nc2c([C@@H]3CC[C@@H]([NH3+])CC3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(F)c(F)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3scc4c3OCCO4)cccn2n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(-c3cnc4ccccc4c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cccnc3Oc3ccccc3)cccn2n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccn3nc(N)nc23)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-COCCc1cccn2nc(N)nc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cccn4nc(N)nc34)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Cc1cc(-c2cccn3nc(N)nc23)nc(N)n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccco3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c([C@@H]3CC[C@@H](O)CC3)cccn2n1; [None]; [None]; [0]
-CC[C@@H](CO)c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(F)cc3Cl)cccn2n1; [None]; [None]; [0]
-CSc1cccc(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-Nc1nc2c([C@H]3CC[C@@H](O)C3)cccn2n1; [None]; [None]; [0]
-COc1ccc(-c2cccn3nc(N)nc23)cc1OC; [None]; [None]; [0]
-Nc1nc2c(C3CCOCC3)cccn2n1; [None]; [None]; [0]
-CCc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(-c3ncc(Br)cn3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccsc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ncc4cccn4n3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(Cl)cc3Cl)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cc4ccccn4n3)cccn2n1; [None]; [None]; [0]
-Cn1cc(-c2cccn3nc(N)nc23)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(-c2cccn3nc(N)nc23)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cccn4nc(N)nc34)ccc2O1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(N4CCCCC4)cc3)cccn2n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc4ccc(O)cc34)cccn2n1; [None]; [None]; [0]
-COc1cc(F)c(-c2cccn3nc(N)nc23)cc1OC; [None]; [None]; [0]
-COc1ccc2cccc(-c3cccn4nc(N)nc34)c2c1; [None]; [None]; [0]
-Nc1nc2c(-c3ncc(Cl)cn3)cccn2n1; [None]; [None]; [0]
-Cc1csc2c(-c3cccn4nc(N)nc34)ncnc12; [None]; [None]; [0]
-COc1cc(-c2cccn3nc(N)nc23)ccc1Cl; [None]; [None]; [0]
-Cc1ccc(-c2cccn3nc(N)nc23)o1; [None]; [None]; [0]
-COc1cc(-c2cccn3nc(N)nc23)c(OC)cc1Br; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(-n4nccn4)c3)cccn2n1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
-Nc1nc2c(-c3cc(F)cc4c3OCOC4)cccn2n1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cccn4nc(N)nc34)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc4cn[nH]c4c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cc4ccccc4o3)cccn2n1; [None]; [None]; [0]
-Cc1nc(-c2cccn3nc(N)nc23)c2sccc2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cc(-c4cccnc4)ccn3)cccn2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3ncc4sccc4n3)cccn2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(NC(=O)N4CCCC4)c3)cccn2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(-c3ncc4cc(Cl)ccc4n3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(OC(F)(F)F)cc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cscn3)cccn2n1; [None]; [None]; [0]
-COc1ccc2nc(-c3cccn4nc(N)nc34)[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-c2cccn3nc(N)nc23)c2ccccc21; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(C(=O)[O-])c(Cl)c3)cccn2n1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
-Cc1ccc(-c2cccn3nc(N)nc23)nc1C; [None]; [None]; [0]
-CCc1cccc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
-Cc1cc(-c2cccn3nc(N)nc23)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cccn4nc(N)nc34)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccn3nc(N)nc23)cn1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(N4CCCC4=O)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(C3CCC(F)(F)CC3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(C3CCS(=O)(=O)CC3)cccn2n1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccn3nc(N)nc23)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(CCO)cc3)cccn2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccn3nc(N)nc23)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cccn2nc(N)nc12; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-COC(C)(C)CCc1cccn2nc(N)nc12; [None]; [None]; [0]
-CCOc1ccccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccn3nc(N)nc23)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c([C@@H]3C[C@H](O)C3)cccn2n1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(Cc3cc(F)cc(F)c3)cccn2n1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3cc[nH]n3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(C(F)(F)F)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccnc4ccccc34)cccn2n1; [None]; [None]; [0]
-Cc1cccc(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-Nc1nc2c(-c3cccnc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccccc3Cl)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccccc3F)cccn2n1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3ccccc3OC(F)(F)F)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccccc3Br)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cnn(Cc4ccccc4)c3)cccn2n1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3ccccc3C(=O)[O-])cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccncn3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cnc(-c4ccccc4)[nH]3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3c(F)cccc3F)cccn2n1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccn3nc(N)nc23)cs1; [None]; [None]; [0]
-Nc1nc2c(-c3cnn(CCO)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c([C@@H](N)c3ccco3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c([C@@H]3CC[C@@H](CO)OC3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(NC(=O)c4ccccc4)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc4c(c3)CCC4)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(CC3CCCCC3)cccn2n1; [None]; [None]; [0]
-CC(C)C(=O)COc1cccn2nc(N)nc12; [None]; [None]; [0]
-COc1cnc(-c2cccn3nc(N)nc23)nc1; [None]; [None]; [0]
-Nc1nc2c(-c3cnco3)cccn2n1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccn3nc(N)nc23)s1; [None]; [None]; [0]
-Cc1ccc(-c2cccn3nc(N)nc23)c(Br)c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3cnc4ccccn34)cccn2n1; [None]; [None]; [0]
-CC(C)(C)Nc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3c(Cl)cccc3Cl)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(Cn4cncn4)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(Cl)c3Cl)cccn2n1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-Nc1nc2c(OC3CCCCC3)cccn2n1; [None]; [None]; [0]
-Cc1ncc(-c2cccn3nc(N)nc23)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
-Nc1nc2c(NCc3cccnc3)cccn2n1; [None]; [None]; [0]
-COc1cccc(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc4ccccc4c3)cccn2n1; [None]; [None]; [0]
-CCC(C)(C)c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(Nc3cccnc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(Cl)s3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-n3cnc4ccccc43)cccn2n1; [None]; [None]; [0]
-C[C@H](CO)Nc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(NCCc3c[nH]cn3)cccn2n1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cccn2nc(N)nc12; [None]; [None]; [0]
-CC(C)COc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(NC(=O)c3cccs3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(CC(=O)[O-])c3)cccn2n1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cccn2nc(N)nc12; [None]; [None]; [0]
-CCCCc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3cncc4ccccc34)cccn2n1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cccn4nc(N)nc34)cc2)cn1; [None]; [None]; [0]
-Nc1nc2c(NCCc3ccccc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc4c(N)[nH]nc4c3)cccn2n1; [None]; [None]; [0]
-CCCn1cnc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cccn4nc(N)nc34)ccc21; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3cccc(CO)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(CCC[NH3+])cccn2n1; [None]; [None]; [0]
-Nc1nc2c([C@@H]3CCC[C@H]([NH3+])C3)cccn2n1; [None]; [None]; [0]
-Cn1cncc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(Nc3ccncc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cccs3)cccn2n1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-CSc1nc(-c2cccn3nc(N)nc23)c[nH]1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-CC(C)Nc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3csc4ncncc34)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(F)cc3C(F)(F)F)cccn2n1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccn4nc(N)nc34)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-CCC(=O)Nc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(OC(F)(F)F)cccn2n1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
-C[C@H](c1cccn2nc(N)nc12)C(F)(F)F; [None]; [None]; [0]
-Nc1nc2c(-c3cnn4ccccc34)cccn2n1; [None]; [None]; [0]
-COc1ccc(-c2cccn3nc(N)nc23)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cccn3nc(N)nc23)no1; [None]; [None]; [0]
-CCCn1cc(-c2cccn3nc(N)nc23)cn1; [None]; [None]; [0]
-Nc1nc2c(-c3cccc4c3C(=O)CC4)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cnoc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cc[nH]c(=O)c3)cccn2n1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccn2nc(N)nc12; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-Nc1nc2c(-c3ccn([C@@H2]CO)c(=O)c3)cccn2n1; [None]; [None]; [0]
-CCOC(=O)Cc1cccn2nc(N)nc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-CCN(CC)c1cccn2nc(N)nc12; [None]; [None]; [0]
-COc1cc(CCc2cccn3nc(N)nc23)cc(OC)c1; [None]; [None]; [0]
-Nc1nc2c(Nc3cnc4ccccc4c3)cccn2n1; [None]; [None]; [0]
-COc1ccncc1Nc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(Cl)c(C(=O)[O-])c3)cccn2n1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3cc4c(=O)[nH]ccc4o3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cnc4[nH]ccc4c3)cccn2n1; [None]; [None]; [0]
-CC1(c2cccn3nc(N)nc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Nc1nc2c(-c3c[nH]c4cnccc34)cccn2n1; [None]; [None]; [0]
-Nc1nc2c([C@@H]3CC[C@@H](NC(=O)O)C3)cccn2n1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
-Nc1nc2c([C@H](CO)Cc3ccccc3)cccn2n1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccn2nc(N)nc12; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cccn3nc(N)nc23)C1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
-Nc1nc2c(-n3ccc(CO)n3)cccn2n1; [None]; [None]; [0]
-Cc1cc(-c2cccn3nc(N)nc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1cccn2nc(N)nc12)C(C)(C)C; [None]; [None]; [0]
-C[C@H](Nc1cccn2nc(N)nc12)C(C)(C)O; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-n3ncc4ccccc43)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-n3cnc(CCO)c3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3nc[nH]n3)cccn2n1; [None]; [None]; [0]
-C[C@@H](Nc1cccn2nc(N)nc12)C(C)(C)O; [None]; [None]; [0]
-Nc1nc2c(-c3cccnc3O)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3nc4ccc(O)cc4[nH]3)cccn2n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccn3nc(N)nc23)[nH]1; [None]; [None]; [0]
-Nc1nc2c(-n3ncc4c(O)cccc43)cccn2n1; [None]; [None]; [0]
-COc1ccc(-c2cccn3nc(N)nc23)c(OC)c1; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(-n4cncn4)cc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(Cc3ccncc3)cccn2n1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3ccc(C(=O)c4ccccc4)cc3)cccn2n1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Cn1cnnc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3nncn3C3CC3)cccn2n1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(OC3CCOCC3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-n3ccnc3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(CCC(=O)NCc3ccccn3)cccn2n1; [None]; [None]; [0]
-CCc1cc(-c2cccn3nc(N)nc23)nc(N)n1; [None]; [None]; [0]
-Nc1nc2c(-c3cn(Cc4ccccc4)nn3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3nnc(N)s3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3cnc(N)s3)cccn2n1; [None]; [None]; [0]
-C[C@@H](Nc1cccn2nc(N)nc12)C(C)(C)C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccn3nc(N)nc23)s1; [None]; [None]; [0]
-Nc1nc2c(-c3csc(N4CCOCC4)n3)cccn2n1; [None]; [None]; [0]
-CCCCc1cc(-c2cccn3nc(N)nc23)nc(N)n1; [None]; [None]; [0]
-Nc1nc2c(-c3nc4ccccc4s3)cccn2n1; [None]; [None]; [0]
-Cc1cncc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3cccc4ccsc34)cccn2n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccn3nc(N)nc23)[nH]1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cccn2nc(N)nc12; [None]; [None]; [0]
-Cn1cc(-c2cccn3nc(N)nc23)c(=O)n1C; [None]; [None]; [0]
-Nc1nc2c(-c3cnccc3N3CCOCC3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(CC3CCOCC3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3ncc4cc[nH]c4n3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(-c3nc(N)c4ccccc4n3)cccn2n1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(-c3c[nH]c4cccnc34)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(Cc3cccnc3)cccn2n1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(O[C@@H]3CC[C@H](O)CC3)cccn2n1; [None]; [None]; [0]
-CC(C)(C)CNc1cccn2nc(N)nc12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
-CN(C)c1cc(-c2cccn3nc(N)nc23)cnn1; [None]; [None]; [0]
-CC(C)(C)Oc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cccn2n1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(C#N)cc2)c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2cn(C)cn2)cc1; ['CC(=O)N(C)c1ccc(N)cc1']; ['Cn1cnc(Br)c1']; [0.996185839]
-Cn1cnc(Nc2ncc3ccccc3n2)c1; ['Clc1ncc2ccccc2n1']; ['Cn1cnc(N)c1']; [0.999724686]
-Nc1nc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)cccn2n1; [None]; [None]; [0]
-COc1cccc(N2CCC(Nc3cn(C)cn3)CC2)c1; [None]; [None]; [0]
-CCOc1ccc(Nc2cn(C)cn2)cc1; ['CCOc1ccc(Br)cc1']; ['Cn1cnc(N)c1']; [0.99877733]
-Cn1cnc(Nc2cccc(S(C)(=O)=O)c2)c1; ['CS(=O)(=O)c1cccc(Br)c1']; ['Cn1cnc(N)c1']; [0.99976939]
-COc1ncccc1Nc1cn(C)cn1; ['COc1ncccc1Br']; ['Cn1cnc(N)c1']; [0.999064147]
-Cn1cnc(Nc2cnn(C)c2)c1; ['Cn1cc(Br)cn1']; ['Cn1cnc(N)c1']; [0.994482875]
-COc1cc(Nc2cn(C)cn2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1n[nH]cc1Nc1cn(C)cn1; [None]; [None]; [0]
-Cn1cnc(Nc2cnc3cccnn23)c1; [None]; [None]; [0]
-Cn1cnc(Nc2cccc(O)c2)c1; ['Cn1cnc(N)c1']; ['Oc1cccc(Br)c1']; [0.998860955]
-Cn1cnc(Nc2ccc(N3CCOCC3)cc2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; ['Nc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1']; [0.999771535, 0.999771535]
-Cn1cnc(Nc2cnnn2C)c1; [None]; [None]; [0]
-Cc1nn(C)cc1Nc1cn(C)cn1; [None]; [None]; [0]
-Cn1cnc(Nc2cccc(NC(=O)C3CC3)c2)c1; [None]; [None]; [0]
-COc1ccc(Nc2cn(C)cn2)cc1; ['COc1ccc(N)cc1']; ['Cn1cnc(Br)c1']; [0.998443663]
-Cn1cnc(Nc2ccccc2)c1; ['Brc1ccccc1']; ['Cn1cnc(N)c1']; [0.998105288]
-Cn1cnc(Nc2nc3ccccc3[nH]2)c1; ['Clc1nc2ccccc2[nH]1']; ['Cn1cnc(N)c1']; [0.91991508]
-Cn1cnc(Nc2ccc(NS(C)(=O)=O)nc2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(C(N)=O)cc2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
-Cn1cnc(NNc2ncccn2)c1; [None]; [None]; [0]
-Cn1cnc(NCc2nccc3ccccc23)c1; [None]; [None]; [0]
-Cn1cnc(Nc2cccc(F)c2)c1; ['Cn1cnc(N)c1', 'Cn1cnc(N)c1']; ['Fc1cccc(Br)c1', 'Fc1cccc(I)c1']; [0.998966455, 0.998966455]
-Cn1cnc(Nc2ccc(C(=O)Nc3ccccc3)cc2)c1; [None]; [None]; [0]
-Cn1cnc(NCCCO)c1; ['Cn1cnc(Br)c1']; ['NCCCO']; [0.997021139]
-Cn1cnc(Nc2ccc(Cl)cc2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(OCCO)cc2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(C(=O)N3CCOCC3)cc2)c1; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2cn(C)cn2)cc1; [None]; [None]; [0]
-Cn1cnc(Nc2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(Nc2cn(C)cn2)cc1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(C(F)(F)F)cc2)c1; ['Cn1cnc(N)c1', 'Cn1cnc(N)c1']; ['FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1']; [0.998257339, 0.998257339]
-Cc1cc(Nc2cn(C)cn2)nn1C; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Cn1cnc(N)c1']; [0.893847525]
-C[C@@H](O)COc1ccc(Nc2cn(C)cn2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Cn1cnc(N)c1']; [0.995974362]
-CN(C)c1ccc(Nc2cn(C)cn2)cc1; ['CN(C)c1ccc(Br)cc1']; ['Cn1cnc(N)c1']; [0.997614384]
-Cc1nc(C)c(Nc2cn(C)cn2)s1; [None]; [None]; [0]
-Cn1cnc(NC2CCN(S(C)(=O)=O)CC2)c1; [None]; [None]; [0]
-Cn1cnc(NC2CCCCC2)c1; ['Cn1cnc(I)c1']; ['NC1CCCCC1']; [0.973992884]
-Cn1cnc(Nc2cnc(Cl)nc2)c1; ['Cn1cnc(Br)c1', 'Clc1ncc(Br)cn1']; ['Nc1cnc(Cl)nc1', 'Cn1cnc(N)c1']; [0.99845624, 0.99845624]
-Cn1cnc(Nc2cncnc2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(Br)cc2)c1; ['Brc1ccc(I)cc1']; ['Cn1cnc(N)c1']; [0.999094963]
-Cn1cnc(N[C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
-Cc1c(Nc2cn(C)cn2)cccc1C(=O)[O-]; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; [0.971845388, 0.971845388]
-CN(C)c1ccc(Nc2cn(C)cn2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['Cn1cnc(Br)c1']; [0.999721467]
-COc1ccc(Cl)cc1Nc1cn(C)cn1; ['COc1ccc(Cl)cc1Cl']; ['Cn1cnc(N)c1']; [0.84602493]
-Cn1cnc(Nc2cn[nH]c2)c1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2cn(C)cn2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N']; ['Cn1cnc(Br)c1']; [0.997767]
-Cn1cnc(Nc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc[nH]2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc3c(c2)CCO3)c1; ['Cn1cnc(Br)c1', 'Brc1ccc2c(c1)CCO2']; ['Nc1ccc2c(c1)CCO2', 'Cn1cnc(N)c1']; [0.999906898, 0.999906898]
-Cn1cnc(Nc2cc(N3CCOCC3)ccn2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cn(C)cn2)sn1; [None]; [None]; [0]
-Cn1cnc(Nc2cc3ccccc3cn2)c1; ['Cn1cnc(Br)c1']; ['Nc1cc2ccccc2cn1']; [0.99954021]
-CC(=O)Nc1cccc(Nc2cn(C)cn2)c1; ['CC(=O)Nc1cccc(N)c1']; ['Cn1cnc(Br)c1']; [0.999606431]
-Cn1cnc(Nc2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3cn(C)cn3)CC2)c1; [None]; [None]; [0]
-COc1cc(Nc2cn(C)cn2)ccc1O; ['COc1cc(N)ccc1O']; ['Cn1cnc(Br)c1']; [0.998671651]
-Cn1cnc(Nc2cccc3c2OCO3)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(F)c(F)c2)c1; ['Cn1cnc(N)c1']; ['Fc1ccc(I)cc1F']; [0.984995842]
-Cn1cnc(N[C@@H]2CC[C@@H]([NH3+])CC2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(C(C)(C)C)cc2)c1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; [0.998270154, 0.998270154]
-Cn1cnc(Nc2scc3c2OCCO3)c1; [None]; [None]; [0]
-Cn1cnc(Nc2cnc3ccccc3c2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(C(C)(C)C)nc2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2cccnc2Oc2ccccc2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2cn(C)cn2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CN(C)C(=O)c1ccc(N)cc1']; ['Cn1cnc(Br)c1']; [0.996425]
-COc1cc(N2CCOCC2)ccc1Nc1cn(C)cn1; ['COc1cc(N2CCOCC2)ccc1N']; ['Cn1cnc(Br)c1']; [0.999746263]
-COc1cccc(C(=O)NNc2cn(C)cn2)c1; [None]; [None]; [0]
-COCCNc1cn(C)cn1; ['COCCN']; ['Cn1cnc(Br)c1']; [0.999911308]
-CCN1CCN(Cc2ccc(Nc3cn(C)cn3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1']; ['Cn1cnc(Br)c1']; [0.946520627]
-Cn1cnc(Nc2ccco2)c1; [None]; [None]; [0]
-CSc1cccc(Nc2cn(C)cn2)c1; ['CSc1cccc(N)c1']; ['Cn1cnc(Br)c1']; [0.999974251]
-Cn1cnc(N[C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-Cn1cnc(NC2CCOCC2)c1; ['Cn1cnc(Br)c1']; ['NC1CCOCC1']; [0.9995628]
-Cc1cc(Nc2cn(C)cn2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Cn1cnc(N)c1']; [0.998966]
-Cn1cnc(Nc2ccc(F)cc2Cl)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; ['Nc1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1']; [0.999832511, 0.999832511]
-COc1ccc(Nc2cn(C)cn2)cc1OC; ['COc1ccc(Br)cc1OC']; ['Cn1cnc(N)c1']; [0.994170964]
-Cn1cnc(Nc2ncc(Br)cn2)c1; ['Cn1cnc(Br)c1']; ['Nc1ncc(Br)cn1']; [0.987603903]
-CC[C@@H](CO)Nc1cn(C)cn1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(Cl)cc2Cl)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccsc2)c1; ['Cn1cnc(Br)c1']; ['Nc1ccsc1']; [0.997896075]
-Cn1cnc(N[C@H]2CC[C@@H](O)C2)c1; [None]; [None]; [0]
-CCc1ccc(Nc2cn(C)cn2)cc1; ['CCc1ccc(Br)cc1']; ['Cn1cnc(N)c1']; [0.998939216]
-Cn1cnc(Nc2cc3ccccn3n2)c1; [None]; [None]; [0]
-COc1cc(Nc2cn(C)cn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cc(C)cc(Nc2cn(C)cn2)c1; ['Cc1cc(C)cc(N)c1', 'Cc1cc(C)cc(I)c1']; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; [0.999958396, 0.999958396]
-Cn1cnc(Nc2ncc3cccn3n2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2cn(C)nc2C(F)(F)F)c1; ['Cn1cc(Br)c(C(F)(F)F)n1']; ['Cn1cnc(N)c1']; [0.999631047]
-Cn1cnc(Nc2ccc(N3CCCCC3)cc2)c1; ['Cn1cnc(Br)c1']; ['Nc1ccc(N2CCCCC2)cc1']; [0.998815179]
-Cn1cnc(Nc2ccc3c(c2)CC(C)(C)O3)c1; [None]; [None]; [0]
-COc1ccc2cccc(Nc3cn(C)cn3)c2c1; [None]; [None]; [0]
-COc1cc(Nc2cn(C)cn2)ccc1Cl; ['COc1cc(Br)ccc1Cl']; ['Cn1cnc(N)c1']; [0.99946326]
-COc1cc(F)c(Nc2cn(C)cn2)cc1OC; ['COc1cc(F)c(F)cc1OC']; ['Cn1cnc(N)c1']; [0.941803157]
-Cn1cnc(Nc2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
-Cc1csc2c(Nc3cn(C)cn3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Cn1cnc(N)c1']; [0.999321103]
-Cn1cnc(Nc2ncc(Cl)cn2)c1; ['Cn1cnc(Br)c1']; ['Nc1ncc(Cl)cn1']; [0.997260213]
-Cn1cnc(Nc2cccc(-n3nccn3)c2)c1; ['Cn1cnc(Br)c1']; ['Nc1cccc(-n2nccn2)c1']; [0.999996901]
-CO[C@@H]1CC[C@@H](Nc2cn(C)cn2)CC1; [None]; [None]; [0]
-COc1cc(Nc2cn(C)cn2)c(OC)cc1Br; [None]; [None]; [0]
-Cc1ccc(Nc2cn(C)cn2)o1; [None]; [None]; [0]
-Cn1cnc(Nc2cc(F)cc3c2OCOC3)c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](Nc2cn(C)cn2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2cn(C)cn2)CC1; [None]; [None]; [0]
-COc1cc(Nc2cn(C)cn2)cc(OC)c1; ['COc1cc(Cl)cc(OC)c1']; ['Cn1cnc(N)c1']; [0.998559296]
-COc1ccc2oc(Nc3cn(C)cn3)cc2c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc3cn[nH]c3c2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; ['Nc1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1']; [0.99949348, 0.99949348]
-CNC(=O)c1ccc(OC)c(Nc2cn(C)cn2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['Cn1cnc(N)c1']; [0.877760589]
-Cn1cnc(Nc2ccc(C[NH+](C)C)cc2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
-Cc1nc(Nc2cn(C)cn2)c2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CNC(=O)c1ccc(Br)cc1']; ['Cn1cnc(N)c1']; [0.995441914]
-Cn1cnc(Nc2cc3ccccc3o2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ncc3cc(Cl)ccc3n2)c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1cn(C)cn1; [None]; [None]; [0]
-Cn1cnc(Nc2ncc3sccc3n2)c1; [None]; [None]; [0]
-COc1ccc2nc(Nc3cn(C)cn3)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2cn(C)cn2)cc1; [None]; [None]; [0]
-Cn1cnc(Nc2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(OC(F)(F)F)cc2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc(C(=O)[O-])c(Cl)c2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2cscn2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2cn(C)c3ccccc23)c1; [None]; [None]; [0]
-Cc1ccc(Nc2cn(C)cn2)nc1C; ['Cc1ccc(N)nc1C']; ['Cn1cnc(Br)c1']; [0.998964787]
-C[C@H]1CCCN1c1cccc(Nc2cn(C)cn2)n1; [None]; [None]; [0]
-CCc1cccc(Nc2cn(C)cn2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(Nc3cn(C)cn3)ccc12; [None]; [None]; [0]
-Cc1cc(Nc2cn(C)cn2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1cnc(Nc2cccc(N3CCCC3=O)c2)c1; ['Cn1cnc(N)c1']; ['O=C1CCCN1c1cccc(Br)c1']; [0.980149806]
-CN(C)c1ccc(Nc2cn(C)cn2)cn1; [None]; [None]; [0]
-Cn1cnc(NC2CCC(F)(F)CC2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(I)c1']; ['NC1CCC(F)(F)CC1', 'NC1CCC(F)(F)CC1']; [0.999985933, 0.999985933]
-Cn1cnc(Nc2ccc(CCO)cc2)c1; ['Cn1cnc(N)c1']; ['OCCc1ccc(I)cc1']; [0.999318957]
-Cn1cnc(NC2CCS(=O)(=O)CC2)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1Nc1cn(C)cn1; ['Cc1cc(N2CCOCC2)ccc1N']; ['Cn1cnc(Br)c1']; [0.999996066]
-COc1cc(N2CCC(O)CC2)ccc1Nc1cn(C)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2cn(C)cn2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CCNC(=O)c1ccc(I)cc1']; ['Cn1cnc(N)c1']; [0.96510005]
-CNC(=O)c1ccc(Nc2cn(C)cn2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['Cn1cnc(N)c1']; [0.986706436]
-COc1cc(N2CCNCC2)ccc1Nc1cn(C)cn1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)Nc1cn(C)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2cn(C)cn2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccccc2)c1; ['CC1(C)OB(c2ccccc2)OC1(C)C']; ['Nc1ccnc(Cl)c1']; [0.999926209]
-Cn1cnc(Nc2cc(S(C)(=O)=O)ccc2Cl)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc(N)ccn2)[nH]1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1Nc1cn(C)cn1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(C2CCOCC2)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc(N)ccn1; [None]; [None]; [0]
-Cc1cccc(-c2cc(N)ccn2)c1; ['Cc1cccc(B(O)O)c1']; ['Nc1ccnc(Br)c1']; [0.999384284]
-Nc1ccnc(-c2ccccc2C(=O)[O-])c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc(N)ccn2)cs1; [None]; [None]; [0]
-Nc1ccnc(C2CCCCC2)c1; ['BrC1CCCCC1']; ['Nc1ccnc(Br)c1']; [0.993429]
-Nc1ccnc([C@@H]2CC[C@@H](CO)OC2)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc(N)ccn1; [None]; [None]; [0]
-COc1cnc(-c2cc(N)ccn2)nc1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc(N)ccn2)s1; [None]; [None]; [0]
-C[C@@H](c1cc(N)ccn1)[C@@H](C)O; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(CC(=O)[O-])c2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc3c(N)[nH]nc3c2)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cc(N)ccn3)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(N)ccn3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['Nc1ccnc(Cl)c1']; [0.999856949]
-Nc1ccnc([C@@H]2CCC[C@H]([NH3+])C2)c1; [None]; [None]; [0]
-CCCn1cnc(-c2cc(N)ccn2)n1; [None]; [None]; [0]
-Nc1ccnc(-c2csc3ncncc23)c1; [None]; [None]; [0]
-CSc1nc(-c2cc(N)ccn2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc(N)ccn1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc(N)ccn3)cc2s1; [None]; [None]; [0]
-Nc1ccnc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cc[nH]c(=O)c2)c1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)ccn2)c2ccccc21; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(Cl)c(C(=O)[O-])c2)c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(-c2ccn([C@@H2]CO)c(=O)c2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cnc3[nH]ccc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Nc1ccnc(Cl)c1']; [0.999997497]
-CC1(c2cc(N)ccn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Nc1ccnc([C@@H]2CC[C@@H](NC(=O)O)C2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(N3CCOCC3)cc2)c1; ['Nc1ccnc(Cl)c1', 'Brc1ccc(N2CCOCC2)cc1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccnc(Br)c1']; [0.999998, 0.999998]
-N#CCC[C@@H]1CC[C@@H](c2cc(N)ccn2)CC1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](CO)c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(CC[NH+]2CCNCC2)c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc(N)ccn2)[nH]1; [None]; [None]; [0]
-Nc1ccnc(-c2nc[nH]n2)c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc(N)ccn1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cc(N)ccn1; [None]; [None]; [0]
-Cn1cnnc1-c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cc(N)ccn1; [None]; [None]; [0]
-CCc1cc(-c2cc(N)ccn2)nc(N)n1; [None]; [None]; [0]
-Nc1ccnc(-c2csc(N3CCOCC3)n2)c1; [None]; [None]; [0]
-CCCCc1cc(-c2cc(N)ccn2)nc(N)n1; [None]; [None]; [0]
-Nc1ccnc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
-Nc1ccnc(CCCC[NH3+])c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)ccn2)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc(N)ccn2)[nH]1; [None]; [None]; [0]
-Nc1ccnc(CCCNC(=O)c2cccs2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cnccc2N2CCOCC2)c1; [None]; [None]; [0]
-Cn1cc(-c2cc(N)ccn2)c(=O)n1C; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc(N)ccn2)cnn1; [None]; [None]; [0]
-Nc1ccnc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cc(N)ccn3)c2c1; ['Cc1ccc2[nH]cnc2c1']; ['Nc1ccnc(Br)c1']; [0.991111577]
-COc1cccc(N2CCC(c3cc(N)ccn3)CC2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc(N)ccn2)cn1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(NC(=O)C3CC3)c2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(C(=O)N3CCOCC3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C']; ['Nc1ccnc(Br)c1']; [1.0]
-Nc1ccnc(-n2ncc3ccccc3c2=O)c1; ['Nc1ccnc(Cl)c1']; ['O=c1[nH]ncc2ccccc12']; [0.998732388]
-Nc1ccnc(-c2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc(N)ccn2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(Cc2ccccc2)c1; [None]; [None]; [0]
-Nc1ccnc(Cc2cncnc2)c1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Cl)c1']; [0.999961853]
-Nc1ccnc([C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
-Nc1ccnc(Cc2cnc(N)nc2)c1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)ccn2)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc(N)ccn1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)ccn2)sn1; [None]; [None]; [0]
-Nc1ccnc(-c2cc(N3CCOCC3)ccn2)c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(N)ccn2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc(N)ccn3)CC2)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(-c2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Cl)c1']; [0.999912739]
-Nc1ccnc(-c2cccnc2Oc2ccccc2)c1; [None]; [None]; [0]
-Nc1ccnc([C@@H]2CC[C@@H]([NH3+])CC2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(N)ccn2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(N)ccn2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc(N)ccn2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(N)ccn3)cc2)CC1; [None]; [None]; [0]
-CCCCCc1cc(N)ccn1; [None]; [None]; [0]
-CC[NH+](CC)c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(CCCn2cncn2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N)ccn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc(N3CCCCC3)cc2)c1; ['CC1(C)OB(c2ccc(N3CCCCC3)cc2)OC1(C)C']; ['Nc1ccnc(Br)c1']; [0.999999881]
-Nc1ccnc(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc(N)ccn3)ccc2O1; [None]; [None]; [0]
-Nc1ccnc(-c2ncc(Cl)cn2)c1; [None]; [None]; [0]
-Cc1csc2c(-c3cc(N)ccn3)ncnc12; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(-n3nccn3)c2)c1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc(N)ccn2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cc(N)ccn2)cc1; [None]; [None]; [0]
-Nc1ccnc(Cc2ccc(S(=O)(=O)CCO)cc2)c1; [None]; [None]; [0]
-Nc1ccnc(NC(=O)c2ccco2)c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc(N)ccn2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc(N)ccn2)CC1; [None]; [None]; [0]
-Nc1ccnc(-c2cc(F)cc3c2OCOC3)c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc(N)ccn2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(N)ccn3)cc2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cc(N)ccn2)cc1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc(N)ccn2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
-Cc1nc(-c2cc(N)ccn2)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2ncc3cc(Cl)ccc3n2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(N)ccn3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Nc1ccnc(C(=O)O)c1']; [0.999931216]
-Nc1ccnc(-c2ccc(C(=O)[O-])c(Cl)c2)c1; [None]; [None]; [0]
-Nc1ccnc(OC(F)(F)F)c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)ccn2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Nc1ccnc(Cl)c1']; [0.999829173]
-Cc1cc(-c2cc(N)ccn2)cc(C)c1OCCO; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc(N)ccn2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc(N)ccn3)ccc12; [None]; [None]; [0]
-C[NH+](C)CCCc1cc(N)ccn1; [None]; [None]; [0]
-Nc1ccnc(C2CCC(F)(F)CC2)c1; [None]; [None]; [0]
-Nc1ccnc(C2CCS(=O)(=O)CC2)c1; [None]; [None]; [0]
-Nc1ccnc(CC2CCOCC2)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)ccn2)c(OC)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)ccn2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Cl)c1']; [0.999865055]
-Cc1cc(N2CCOCC2)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc(N)ccn2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc(N)ccn1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cc(N)ccn1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-CCOc1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-c1ccc(-c2ncnn3cccc23)cc1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ncnn3cccc23)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1ncnn2cccc12; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2ncnn3cccc23)C1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ncnn3cccc23)c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ncnn2cccc12; [None]; [None]; [0]
-c1ccc2c(-c3ncnn4cccc34)ccnc2c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-c1cc2c(C3CCOCC3)ncnn2c1; [None]; [None]; [0]
-c1cncc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-Fc1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(-c3cc[nH]n3)ncnn2c1; [None]; [None]; [0]
-Clc1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-N#Cc1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-Cc1cccc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-Brc1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ncnn4cccc34)cn2)cc1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3ncnn4cccc34)[nH]2)cc1; [None]; [None]; [0]
-OCCn1cc(-c2ncnn3cccc23)cn1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(-c3ccncn3)ncnn2c1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(C3CCCCC3)ncnn2c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ncnn3cccc23)cs1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncnn3cccc23)c1)c1ccccc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ncnn3cccc23)CO1; [None]; [None]; [0]
-COc1cnc(-c2ncnn3cccc23)nc1; [None]; [None]; [0]
-c1cc2c(-c3ccc4c(c3)CCC4)ncnn2c1; [None]; [None]; [0]
-Cc1ccc(-c2ncnn3cccc23)c(Br)c1; [None]; [None]; [0]
-CC(C)C(=O)COc1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(CC3CCCCC3)ncnn2c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(-c3cnco3)ncnn2c1; [None]; [None]; [0]
-c1ccn2c(-c3ncnn4cccc34)cnc2c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ncnn3cccc23)s1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ncnn3cccc23)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ncnn2cccc12; [None]; [None]; [0]
-c1cnn2c(-c3ncnn4cccc34)cnc2c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ncnn2cccc12; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-CC(C)(C)Nc1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(OC3CCCCC3)ncnn2c1; [None]; [None]; [0]
-Clc1cccc(-c2ncnn3cccc23)c1Cl; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-c1cncc(CNc2ncnn3cccc23)c1; [None]; [None]; [0]
-Nc1nccc(-c2ncnn3cccc23)n1; [None]; [None]; [0]
-Cc1ncc(-c2ncnn3cccc23)[nH]1; [None]; [None]; [0]
-c1ccc2cc(-c3ncnn4cccc34)ccc2c1; [None]; [None]; [0]
-CCC(C)(C)c1ncnn2cccc12; [None]; [None]; [0]
-C[C@H](CO)Nc1ncnn2cccc12; [None]; [None]; [0]
-COc1cccc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-Clc1ccc(-c2ncnn3cccc23)s1; [None]; [None]; [0]
-c1cncc(Nc2ncnn3cccc23)c1; [None]; [None]; [0]
-CC(C)COc1ncnn2cccc12; [None]; [None]; [0]
-c1ccc2c(c1)ncn2-c1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(NCCc3c[nH]cn3)ncnn2c1; [None]; [None]; [0]
-O=C(Nc1ncnn2cccc12)c1cccs1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1ncnn2cccc12; [None]; [None]; [0]
-CCCCc1ncnn2cccc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ncnn2cccc12; [None]; [None]; [0]
-c1ccc2c(-c3ncnn4cccc34)cncc2c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ncnn4cccc34)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ncnn4cccc34)ccc12; [None]; [None]; [0]
-c1ccc(CCNc2ncnn3cccc23)cc1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ncnn2cccc12; [None]; [None]; [0]
-CCCn1cnc(-c2ncnn3cccc23)n1; [None]; [None]; [0]
-Oc1cccc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ncnn4cccc34)ccc21; [None]; [None]; [0]
-OCc1cccc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-Cn1cncc1-c1ncnn2cccc12; [None]; [None]; [0]
-[NH3+]CCCc1ncnn2cccc12; [None]; [None]; [0]
-c1csc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-Cn1cc(-c2ncnn3cccc23)cn1; [None]; [None]; [0]
-CSc1nc(-c2ncnn3cccc23)c[nH]1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ncnn3cccc23)C1; [None]; [None]; [0]
-CC(C)Nc1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(-c3csc4ncncc34)ncnn2c1; [None]; [None]; [0]
-c1coc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ncnn2cccc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ncnn4cccc34)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncnn3cccc23)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1ncnn2cccc12; [None]; [None]; [0]
-N#CCCc1cccc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ncnn3cccc23)CC1; [None]; [None]; [0]
-Fc1ccc(-c2ncnn3cccc23)c(C(F)(F)F)c1; [None]; [None]; [0]
-C[C@H](c1ncnn2cccc12)C(F)(F)F; [None]; [None]; [0]
-COc1ccc(-c2ncnn3cccc23)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2ncnn3cccc23)c2ccccc21; [None]; [None]; [0]
-c1ccn2ncc(-c3ncnn4cccc34)c2c1; [None]; [None]; [0]
-CCC(=O)Nc1ncnn2cccc12; ['CCC(=O)Cl']; ['Nc1ncnn2cccc12']; [0.999869943]
-c1cc2c(-c3cnoc3)ncnn2c1; [None]; [None]; [0]
-Cc1cc(-c2ncnn3cccc23)no1; [None]; [None]; [0]
-CCCn1cc(-c2ncnn3cccc23)cn1; [None]; [None]; [0]
-O=c1cc(-c2ncnn3cccc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(-c2ncnn3cccc23)cc[nH]1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3ncnn4cccc34)c21; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ncnn2cccc12; ['CC(C)(C)N=C=O']; ['Nc1ncnn2cccc12']; [0.999975204]
-CC(C)(N)c1ccc(-c2ncnn3cccc23)cc1; [None]; [None]; [0]
-COc1cc(CCc2ncnn3cccc23)cc(OC)c1; [None]; [None]; [0]
-CCOC(=O)Cc1ncnn2cccc12; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ncnn3cccc23)ccc1Cl; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ncnn3cccc23)cc1; [None]; [None]; [0]
-CCN(CC)c1ncnn2cccc12; []; []; []
-c1ccc2c(-c3ncnn4cccc34)c[nH]c2c1; [None]; [None]; [0]
-COc1ccncc1Nc1ncnn2cccc12; ['COc1ccncc1Br']; ['Nc1ncnn2cccc12']; [0.999987602]
-O=c1[nH]ccc2oc(-c3ncnn4cccc34)cc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ncnn2cccc12; [None]; [None]; [0]
-c1ccc2ncc(Nc3ncnn4cccc34)cc2c1; ['Brc1cnc2ccccc2c1']; ['Nc1ncnn2cccc12']; [0.986891806]
-OC[C@H](Cc1ccccc1)c1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(-c3c[nH]c4cnccc34)ncnn2c1; [None]; [None]; [0]
-CC1(c2ncnn3cccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ncnn3cccc23)C1; [None]; [None]; [0]
-c1cc2c(-c3cnc4[nH]ccc4c3)ncnn2c1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2ncnn3cccc23)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2ncnn3cccc23)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2ncnn3cccc23)C1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(-c3ccc(N4CCOCC4)cc3)ncnn2c1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnn3cccc23)cc1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ncnn3cccc23)CC1; [None]; [None]; [0]
-OCc1ccn(-c2ncnn3cccc23)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ncnn3cccc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ncnn3cccc23)cc1; [None]; [None]; [0]
-C[C@H](Nc1ncnn2cccc12)C(C)(C)O; [None]; [None]; [0]
-OCCc1cn(-c2ncnn3cccc23)cn1; [None]; [None]; [0]
-Cc1cc(-c2ncnn3cccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1ncnn2cccc12; [None]; [None]; [0]
-C[C@H](Nc1ncnn2cccc12)C(C)(C)C; [None]; [None]; [0]
-C[C@@H](Nc1ncnn2cccc12)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ncnn2cccc12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ncnn2cccc12; [None]; [None]; [0]
-Oc1ncccc1-c1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(-c3nc[nH]n3)ncnn2c1; [None]; [None]; [0]
-c1cc2c(-c3ccc(-n4cncn4)cc3)ncnn2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ncnn3cccc23)[nH]1; [None]; [None]; [0]
-Oc1ccc2nc(-c3ncnn4cccc34)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2ncnn3cccc23)c(OC)c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ncnn2cccc12; [None]; [None]; [0]
-c1cc2c(Cc3ccncc3)ncnn2c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ncnn2cccc12; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ncnn2cccc12; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ncnn3cccc23)cc1; [None]; [None]; [0]
-c1cc2c(-c3nncn3C3CC3)ncnn2c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ncnn2cccc12; [None]; [None]; [0]
-Cn1cnnc1-c1ncnn2cccc12; [None]; [None]; [0]
-O=C(CCc1ncnn2cccc12)NCc1ccccn1; [None]; [None]; [0]
-c1cc2c(-n3ccnc3)ncnn2c1; [None]; [None]; [0]
-c1cc2c(OC3CCOCC3)ncnn2c1; [None]; [None]; [0]
-C[C@@H](Nc1ncnn2cccc12)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2ncnn3cccc23)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ncnn4cccc34)nn2)cc1; [None]; [None]; [0]
-Nc1nnc(-c2ncnn3cccc23)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ncnn3cccc23)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2ncnn3cccc23)s1; [None]; [None]; [0]
-Cc1cncc(-c2ncnn3cccc23)n1; [None]; [None]; [0]
-c1cc2c(-c3csc(N4CCOCC4)n3)ncnn2c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ncnn2cccc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncnn3cccc23)s1; [None]; [None]; [0]
-c1ccc2sc(-c3ncnn4cccc34)nc2c1; [None]; [None]; [0]
-c1cc2c(CC3CCOCC3)ncnn2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ncnn3cccc23)[nH]1; [None]; [None]; [0]
-Nc1nc(-c2ncnn3cccc23)nc2ccccc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1ncnn2cccc12; [None]; [None]; [0]
-Cn1cc(-c2ncnn3cccc23)c(=O)n1C; [None]; [None]; [0]
-c1cc(-c2ncnn3cccc23)c2sccc2c1; [None]; [None]; [0]
-c1cc2c(-c3cnccc3N3CCOCC3)ncnn2c1; [None]; [None]; [0]
-c1cc2c(-c3ncc4cc[nH]c4n3)ncnn2c1; [None]; [None]; [0]
-c1ccc2nc(-c3ncnn4cccc34)ncc2c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ncnn2cccc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ncnn2cccc12; [None]; [None]; [0]
-c1cnc2c(-c3ncnn4cccc34)c[nH]c2c1; [None]; [None]; [0]
-c1cncc(Cc2ncnn3cccc23)c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ncnn3cccc23)CC1; [None]; [None]; [0]
-CC(C)(C)CNc1ncnn2cccc12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2ncnn3cccc23)CC1; [None]; [None]; [0]
-CC(C)(C)Oc1ncnn2cccc12; [None]; [None]; [0]
-CN(C)c1cc(-c2ncnn3cccc23)cnn1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ncnn3cccc23)c1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2ncnn3cccc23)C1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(c4ncnn5cccc45)CC3)nc2c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3nc4cnccc4[nH]3)c2c1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3nc4cnccc4[nH]3)CC2)c1; [None]; [None]; [0]
-c1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N']; ['O=C(O)c1ccccc1']; [0.999739468]
-c1ccc2nc(-c3nc4cnccc4[nH]3)ncc2c1; [None]; [None]; [0]
-c1cc2[nH]c(-c3ccc(N4CCOCC4)cc3)nc2cn1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1ccc(N2CCOCC2)cc1', 'O=Cc1ccc(N2CCOCC2)cc1']; [0.999996781, 0.999996781]
-O=C(Nc1cccc(-c2nc3cnccc3[nH]2)c1)C1CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2nc3cnccc3[nH]2)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-O=C(c1ccc(-c2nc3cnccc3[nH]2)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2nc3cnccc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-c1ccc(Cc2nc3cnccc3[nH]2)cc1; ['CCOC(=N)Cc1ccccc1', 'Nc1ccncc1N', 'Nc1ccncc1N']; ['Nc1ccncc1N', 'O=CCc1ccccc1', 'O=C(O)Cc1ccccc1']; [0.999789536, 0.999789536, 0.999789536]
-C[C@@H](O)COc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-c1cc2[nH]c(C3CCCCC3)nc2cn1; ['Nc1ccncc1N']; ['O=CC1CCCCC1']; [0.999970436]
-CNS(=O)(=O)Cc1nc2cnccc2[nH]1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-c1cc2[nH]c(Cc3cncnc3)nc2cn1; [None]; [None]; [0]
-Nc1ncc(Cc2nc3cnccc3[nH]2)cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2nc3cnccc3[nH]2)C1; [None]; [None]; [0]
-COc1cc(OC)c(-c2nc3cnccc3[nH]2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2nc3cnccc3[nH]2)sn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3cnccc3[nH]2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3nc4cnccc4[nH]3)CC2)c1; ['COc1cccc(C(=O)N2CCC(C(=O)O)CC2)c1']; ['Nc1ccncc1N']; [0.999979854]
-c1ccc(-c2cc(-c3nc4cnccc4[nH]3)n[nH]2)cc1; ['Nc1ccncc1N']; ['O=C(O)c1cc(-c2ccccc2)[nH]n1']; [0.999960542]
-c1ccc(Oc2ncccc2-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N']; ['O=C(O)c1cccnc1Oc1ccccc1']; [0.999938369]
-c1cc2[nH]c(-c3cc(N4CCOCC4)ccn3)nc2cn1; ['Nc1ccncc1N']; ['O=C(O)c1cc(N2CCOCC2)ccn1']; [0.999998]
-[NH3+][C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1nc2cnccc2[nH]1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nc3cnccc3[nH]2)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
-CCCCCc1nc2cnccc2[nH]1; ['CCCCCC(=O)O', 'CCCCCC=O']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.998334467, 0.998334467]
-CCN1CCN(Cc2ccc(-c3nc4cnccc4[nH]3)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-c1cc2[nH]c(C3CCOCC3)nc2cn1; [None]; [None]; [0]
-CC[NH+](CC)c1nc2cnccc2[nH]1; [None]; [None]; [0]
-c1cc2[nH]c(CCCn3cncn3)nc2cn1; ['Nc1ccncc1N']; ['O=C(O)CCCn1cncn1']; [0.999988079]
-c1cc2cnc(-c3nc4cnccc4[nH]3)nn2c1; [None]; [None]; [0]
-c1ccn2nc(-c3nc4cnccc4[nH]3)cc2c1; ['Nc1ccncc1N']; ['O=C(O)c1cc2ccccn2n1']; [0.999832869]
-COc1cc(-c2nc3cnccc3[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1cc2[nH]c(-c3ccc(N4CCCCC4)cc3)nc2cn1; ['Nc1ccncc1N']; ['O=Cc1ccc(N2CCCCC2)cc1']; [0.999989271]
-CC1(C)Cc2cc(-c3nc4cnccc4[nH]3)ccc2O1; [None]; [None]; [0]
-Clc1cnc(-c2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2nc3cnccc3[nH]2)c1; ['COc1ccc(OC)c(CC(=O)O)c1']; ['Nc1ccncc1N']; [0.999988079]
-Cc1csc2c(-c3nc4cnccc4[nH]3)ncnc12; [None]; [None]; [0]
-c1cc(-c2nc3cnccc3[nH]2)cc(-n2nccn2)c1; [None]; [None]; [0]
-O=C(Nc1nc2cnccc2[nH]1)c1ccco1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-Fc1cc2c(c(-c3nc4cnccc4[nH]3)c1)OCOC2; ['Nc1ccncc1N']; ['O=Cc1cc(F)cc2c1OCOC2']; [0.999998689]
-CCNC(=O)N1CCC(c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3nc4cnccc4[nH]3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3nc4cnccc4[nH]3)c2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-Cc1nc(-c2nc3cnccc3[nH]2)c2sccc2n1; [None]; [None]; [0]
-c1cc2[nH]c(-c3ncc4sccc4n3)nc2cn1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Clc1ccc2nc(-c3nc4cnccc4[nH]3)ncc2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-COc1ccc2nc(-c3nc4cnccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-c2nc3cnccc3[nH]2)c2ccccc21; ['Cn1cc(C=O)c2ccccc21', 'Cn1cc(C(=O)O)c2ccccc21']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999998689, 0.999998689]
-FC(F)(F)Oc1nc2cnccc2[nH]1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nc3cnccc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
-Cn1ncc2cc(-c3nc4cnccc4[nH]3)ccc21; ['Cn1ncc2cc(C(=O)O)ccc21']; ['Nc1ccncc1N']; [0.999937773]
-C[C@H]1CCCN1c1cccc(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3cnccc3[nH]2)cn1; ['CN(C)c1ccc(C(=O)O)cn1']; ['Nc1ccncc1N']; [0.999450743]
-O=C([O-])c1ccc(-c2nc3cnccc3[nH]2)cc1Cl; [None]; [None]; [0]
-FC1(F)CCC(c2nc3cnccc3[nH]2)CC1; ['Nc1ccncc1N']; ['O=C(O)C1CCC(F)(F)CC1']; [0.999993563]
-Cc1cc(-c2nc3cnccc3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
-C[NH+](C)CCCc1nc2cnccc2[nH]1; [None]; [None]; [0]
-c1cc2[nH]c(CC3CCOCC3)nc2cn1; ['Nc1ccncc1N', 'N#CCC1CCOCC1']; ['O=C(O)CC1CCOCC1', 'Nc1ccncc1N']; [0.999999046, 0.999999046]
-COc1cc(N2CCC(O)CC2)ccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3nc4cnccc4[nH]3)ccc12; [None]; [None]; [0]
-O=S1(=O)CCC(c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc3cnccc3[nH]2)c(Cl)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1nc2cnccc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3cnccc3[nH]2)c(OC)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2nc3cnccc3[nH]2)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1nc2cnccc2[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cc1cccc(-c2nc3cnccc3[nH]2)c1; ['Cc1cccc(C(=O)O)c1']; ['Nc1ccncc1N']; [0.999893188]
-O=C([O-])c1ccccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2nc3cnccc3[nH]2)cs1; [None]; [None]; [0]
-c1cc2[nH]c(CC3CCCCC3)nc2cn1; ['Nc1ccncc1N']; ['O=C(O)CC1CCCCC1']; [0.999976635]
-OC[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CO1; [None]; [None]; [0]
-CNc1nc(C)c(-c2nc3cnccc3[nH]2)s1; [None]; [None]; [0]
-COc1cnc(-c2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1nc2cnccc2[nH]1; ['Cc1nc2ccccn2c1C=O']; ['Nc1ccncc1N']; [0.999885321]
-CCC(C)(C)c1nc2cnccc2[nH]1; ['CCC(C)(C)C(=O)O']; ['Nc1ccncc1N']; [0.999421835]
-c1cc(Cn2cncn2)cc(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
-c1cc2[nH]c(NCCc3c[nH]cn3)nc2cn1; [None]; [None]; [0]
-CCCCc1nc2cnccc2[nH]1; ['CCCCC=O']; ['Nc1ccncc1N']; [0.999482274]
-COC(=O)[C@@H](N)Cc1nc2cnccc2[nH]1; [None]; [None]; [0]
-c1ccc(CCNc2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N']; ['S=C=NCCc1ccccc1']; [0.780025125]
-Cn1cc(-c2ccc(-c3nc4cnccc4[nH]3)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3nc4cnccc4[nH]3)ccc12; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1nc2cnccc2[nH]1; [None]; [None]; [0]
-CCCn1cnc(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
-[NH3+]CCCc1nc2cnccc2[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1nc2cnccc2[nH]1; ['CC(C)c1oncc1C(=O)O']; ['Nc1ccncc1N']; [0.999923229]
-[NH3+][C@H]1CCC[C@@H](c2nc3cnccc3[nH]2)C1; [None]; [None]; [0]
-CSc1nc(-c2nc3cnccc3[nH]2)c[nH]1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3nc4cnccc4[nH]3)cc2s1; [None]; [None]; [0]
-c1cc2[nH]c(-c3csc4ncncc34)nc2cn1; [None]; [None]; [0]
-O=c1cc(-c2nc3cnccc3[nH]2)cc[nH]1; [None]; [None]; [0]
-c1ccn2ncc(-c3nc4cnccc4[nH]3)c2c1; [None]; [None]; [0]
-COc1cc(CCc2nc3cnccc3[nH]2)cc(OC)c1; ['COc1cc(CCC(=O)O)cc(OC)c1']; ['Nc1ccncc1N']; [0.999855399]
-C[C@H](c1nc2cnccc2[nH]1)C(F)(F)F; [None]; [None]; [0]
-O=C([O-])c1cc(-c2nc3cnccc3[nH]2)ccc1Cl; [None]; [None]; [0]
-c1cc2[nH]c(-c3cnc4[nH]ccc4c3)nc2cn1; ['Nc1ccncc1N']; ['O=C(O)c1cnc2[nH]ccc2c1']; [0.999997735]
-O=c1cc(-c2nc3cnccc3[nH]2)ccn1[C@@H2]CO; [None]; [None]; [0]
-CC1(c2nc3cnccc3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cc1cc(-c2nc3cnccc3[nH]2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)C1; [None]; [None]; [0]
-OCCc1cn(-c2nc3cnccc3[nH]2)cn1; [None]; [None]; [0]
-C[C@H](Nc1nc2cnccc2[nH]1)C(C)(C)C; [None]; [None]; [0]
-OCc1ccn(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
-C[C@@H](Nc1nc2cnccc2[nH]1)C(C)(C)O; [None]; [None]; [0]
-c1cc2[nH]c(-c3nc[nH]n3)nc2cn1; [None]; [None]; [0]
-CSc1nc(C)c(-c2nc3cnccc3[nH]2)[nH]1; [None]; [None]; [0]
-C[C@H](Nc1nc2cnccc2[nH]1)C(C)(C)O; [None]; [None]; [0]
-c1cc2[nH]c(-c3ccc(-n4cncn4)cc3)nc2cn1; ['Nc1ccncc1N']; ['O=Cc1ccc(-n2cncn2)cc1']; [0.999999762]
-Cc1nc[nH]c1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cn1cnnc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-C[C@@H](Nc1nc2cnccc2[nH]1)C(C)(C)C; [None]; [None]; [0]
-O=C(CCc1nc2cnccc2[nH]1)NCc1ccccn1; [None]; [None]; [0]
-c1cc2[nH]c(-c3nncn3C3CC3)nc2cn1; [None]; [None]; [0]
-CCc1cc(-c2nc3cnccc3[nH]2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2nc3cnccc3[nH]2)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3nc4cnccc4[nH]3)nn2)cc1; [None]; [None]; [0]
-c1cc2[nH]c(-c3csc(N4CCOCC4)n3)nc2cn1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cn1cc(-c2nc3cnccc3[nH]2)c(=O)n1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3cnccc3[nH]2)s1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2nc3cnccc3[nH]2)cn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1nc2cnccc2[nH]1; ['CS(=O)(=O)Nc1ccccc1CC(=O)O']; ['Nc1ccncc1N']; [0.999973774]
-O[C@H]1CC[C@@H](Oc2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cccc3ncnn23)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['Clc1cccc2ncnn12']; [0.999437511]
-CC(=O)Nc1ncc(-c2nc3cnccc3[nH]2)[nH]1; [None]; [None]; [0]
-c1ccc2nc(-c3cccc4ncnn34)ncc2c1; [None]; [None]; [0]
-c1cc2[nH]c(-c3ncc4cc[nH]c4n3)nc2cn1; [None]; [None]; [0]
-c1cc(-c2ccc(N3CCOCC3)cc2)n2ncnc2c1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999998927]
-CN(C)c1cc(-c2nc3cnccc3[nH]2)cnn1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cccc4ncnn34)c2c1; [None]; [None]; [0]
-c1ccc(-c2cccc3ncnn23)cc1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccccc1']; [0.999826133]
-COc1cccc(N2CCC(c3cccc4ncnn34)CC2)c1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cccc2ncnn12; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cccc3ncnn23)c1)C1CC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-c1ccc(Cc2cccc3ncnn23)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cccc3ncnn23)nc1)N1CCOCC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cccc3ncnn23)cn1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cccc2ncnn12; [None]; [None]; [0]
-O=C(c1ccc(-c2cccc3ncnn23)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C']; ['Clc1cccc2ncnn12']; [0.999999881]
-CN(C)S(=O)(=O)c1ccc(-c2cccc3ncnn23)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1cccc2ncnn12']; [0.999971271]
-c1cc(Cc2cncnc2)n2ncnc2c1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cccc3ncnn23)CC1; [None]; [None]; [0]
-c1cc(C2CCCCC2)n2ncnc2c1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cccc3ncnn23)C1; [None]; [None]; [0]
-Nc1ncc(Cc2cccc3ncnn23)cn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc3ncnn23)cc1Cl; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cccc3ncnn23)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cccc2ncnn12; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cccc4ncnn34)n[nH]2)cc1; [None]; [None]; [0]
-c1cc(-c2cc(N3CCOCC3)ccn2)n2ncnc2c1; [None]; [None]; [0]
-Cc1cc(-c2cccc3ncnn23)sn1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccc2ncnn12; ['CC(C)(C)NC(N)=O']; ['Clc1cccc2ncnn12']; [0.998988926]
-COc1cccc(C(=O)N2CCC(c3cccc4ncnn34)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc3ncnn23)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.999997, 0.999997]
-CC(C)(C)c1ccc(-c2cccc3ncnn23)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cccc2ncnn12; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cccc3ncnn23)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
-CCCCCc1cccc2ncnn12; [None]; [None]; [0]
-c1cc(C2CCOCC2)n2ncnc2c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cccc4ncnn34)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Clc1cccc2ncnn12']; [0.999929309]
-c1cc(CCCn2cncn2)n2ncnc2c1; [None]; [None]; [0]
-c1ccn2nc(-c3cccc4ncnn34)cc2c1; [None]; [None]; [0]
-c1cc(-c2ncc3cccn3n2)n2ncnc2c1; [None]; [None]; [0]
-CC[NH+](CC)c1cccc2ncnn12; [None]; [None]; [0]
-COc1cc(-c2cccc3ncnn23)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cccc4ncnn34)ccc2O1; [None]; [None]; [0]
-c1cc(-c2ccc(N3CCCCC3)cc2)n2ncnc2c1; ['Clc1cccc2ncnn12']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.999999881]
-Clc1cnc(-c2cccc3ncnn23)nc1; [None]; [None]; [0]
-Cc1csc2c(-c3cccc4ncnn34)ncnc12; [None]; [None]; [0]
-c1cc(-c2cccc3ncnn23)cc(-n2nccn2)c1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cccc3ncnn23)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cccc3ncnn23)cc1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cccc3ncnn23)cc1; [None]; [None]; [0]
-O=C(Nc1cccc2ncnn12)c1ccco1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cccc3ncnn23)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cccc4ncnn34)c1)OCOC2; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cccc4ncnn34)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cccc4ncnn34)c2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cccc3ncnn23)cc1; [None]; [None]; [0]
-c1cc(-c2ncc3sccc3n2)n2ncnc2c1; [None]; [None]; [0]
-Cc1nc(-c2cccc3ncnn23)c2sccc2n1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cccc4ncnn34)ncc2c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cccc2ncnn12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cccc2ncnn12; [None]; [None]; [0]
-COc1ccc2nc(-c3cccc4ncnn34)[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc2ncnn12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cccc3ncnn23)c1)N1CCCC1; [None]; [None]; [0]
-Cn1cc(-c2cccc3ncnn23)c2ccccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cccc3ncnn23)cc1Cl; [None]; [None]; [0]
-Cn1ncc2cc(-c3cccc4ncnn34)ccc21; ['Clc1cccc2ncnn12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999997616]
-CN(C)c1ccc(-c2cccc3ncnn23)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Clc1cccc2ncnn12']; [0.99999845]
-Cc1cc(-c2cccc3ncnn23)cc(C)c1OCCO; [None]; [None]; [0]
-C[NH+](C)CCCc1cccc2ncnn12; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cccc4ncnn34)ccc12; [None]; [None]; [0]
-FC1(F)CCC(c2cccc3ncnn23)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cccc2ncnn12; [None]; [None]; [0]
-O=S1(=O)CCC(c2cccc3ncnn23)CC1; [None]; [None]; [0]
-c1cc(CC2CCOCC2)n2ncnc2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc3ncnn23)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cccc2ncnn12; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cccc3ncnn23)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Clc1cccc2ncnn12']; [0.999978185]
-CNC(=O)c1ccc(-c2cccc3ncnn23)c(OC)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cccc2ncnn12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cccc2ncnn12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc2ncnn12; [None]; [None]; [0]
-COC(C)(C)CCc1cccc2ncnn12; [None]; [None]; [0]
-Cc1cccc(-c2cccc3ncnn23)c1; ['Cc1cccc(B(O)O)c1']; ['Clc1cccc2ncnn12']; [0.999786079]
-CP(C)(=O)c1ccccc1-c1cccc2ncnn12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccc2ncnn12; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cccc3ncnn23)CO1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc3ncnn23)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cccc2ncnn12; [None]; [None]; [0]
-c1cc(CC2CCCCC2)n2ncnc2c1; [None]; [None]; [0]
-COc1cnc(-c2cccc3ncnn23)nc1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc3ncnn23)s1; [None]; [None]; [0]
-CC(C)C(=O)COc1cccc2ncnn12; [None]; [None]; [0]
-c1cc(NCCc2c[nH]cn2)n2ncnc2c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc2ncnn12; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-CCC(C)(C)c1cccc2ncnn12; [None]; [None]; [0]
-CCCCc1cccc2ncnn12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cccc2ncnn12; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
-c1ccc(CCNc2cccc3ncnn23)cc1; ['Clc1cccc2ncnn12']; ['NCCc1ccccc1']; [0.999730527]
-Nc1[nH]nc2cc(-c3cccc4ncnn34)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cccc4ncnn34)cc2)cn1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
-[NH3+]CCCc1cccc2ncnn12; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccc2ncnn12; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc2ncnn12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cccc3ncnn23)C1; [None]; [None]; [0]
-CSc1nc(-c2cccc3ncnn23)c[nH]1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccc3ncnn23)CC1; [None]; [None]; [0]
-c1cc(-c2csc3ncncc23)n2ncnc2c1; [None]; [None]; [0]
-O=c1cc(-c2cccc3ncnn23)cc[nH]1; [None]; [None]; [0]
-C[C@H](c1cccc2ncnn12)C(F)(F)F; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc4ncnn34)cc2s1; [None]; [None]; [0]
-O=c1cc(-c2cccc3ncnn23)ccn1[C@@H2]CO; [None]; [None]; [0]
-c1ccn2ncc(-c3cccc4ncnn34)c2c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cccc3ncnn23)ccc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccc2ncnn12; [None]; [None]; [0]
-COc1cc(CCc2cccc3ncnn23)cc(OC)c1; [None]; [None]; [0]
-CC1(c2cccc3ncnn23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-c1cc(-c2cnc3[nH]ccc3c2)n2ncnc2c1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cccc3ncnn23)C1; [None]; [None]; [0]
-Cc1cc(-c2cccc3ncnn23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1cccc2ncnn12)C(C)(C)C; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
-OCc1ccn(-c2cccc3ncnn23)n1; [None]; [None]; [0]
-c1cc(-c2nc[nH]n2)n2ncnc2c1; [None]; [None]; [0]
-C[C@H](Nc1cccc2ncnn12)C(C)(C)O; [None]; [None]; [0]
-OCCc1cn(-c2cccc3ncnn23)cn1; [None]; [None]; [0]
-c1cc(-c2ccc(-n3cncn3)cc2)n2ncnc2c1; [None]; [None]; [0]
-C[C@@H](Nc1cccc2ncnn12)C(C)(C)O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cccc2ncnn12; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccc2ncnn12; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc3ncnn23)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc2ncnn12; [None]; [None]; [0]
-Cn1cnnc1-c1cccc2ncnn12; [None]; [None]; [0]
-O=C(CCc1cccc2ncnn12)NCc1ccccn1; [None]; [None]; [0]
-C[C@@H](Nc1cccc2ncnn12)C(C)(C)C; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cccc2ncnn12; [None]; [None]; [0]
-CCc1cc(-c2cccc3ncnn23)nc(N)n1; [None]; [None]; [0]
-c1cc(-c2nncn2C2CC2)n2ncnc2c1; [None]; [None]; [0]
-CCCCc1cc(-c2cccc3ncnn23)nc(N)n1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cccc4ncnn34)nn2)cc1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cccc2ncnn12; [None]; [None]; [0]
-c1cc(-c2csc(N3CCOCC3)n2)n2ncnc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3ncnn23)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc3ncnn23)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cccc3ncnn23)c(=O)n1C; [None]; [None]; [0]
-c1cc(-c2cnccc2N2CCOCC2)n2ncnc2c1; [None]; [None]; [0]
-c1cc(-c2ncc3cc[nH]c3n2)n2ncnc2c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cccc3ncnn23)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccc2ncnn12; [None]; [None]; [0]
-O=c1ccn(-c2ccccc2)c2ncccc12; [None]; [None]; [0]
-CN(C)c1cc(-c2cccc3ncnn23)cnn1; [None]; [None]; [0]
-COC(C)(C)CCn1ccc(=O)c2cccnc21; [None]; [None]; [0]
-CNC(=O)c1ccccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-CCOc1ccccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn([C@@H]2C[C@H](O)C2)c2ncccc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-n2ccc(=O)c3cccnc32)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(Cc2cc(F)cc(F)c2)c2ncccc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(C2CCOCC2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccnc3ccccc23)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cc[nH]n2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(C(F)(F)F)c2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccnc2)c2ncccc12; [None]; [None]; [0]
-Cc1cccc(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-O=c1ccn(-c2ccccc2Cl)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccccc2F)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccccc2Br)c2ncccc12; [None]; [None]; [0]
-N#Cc1ccccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=C([O-])c1ccccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2ccccc2OC(F)(F)F)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnn(Cc3ccccc3)c2)c2ncccc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2ccncn2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2c(F)cccc2F)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnc(-c3ccccc3)[nH]2)c2ncccc12; [None]; [None]; [0]
-N[C@@H](c1ccco1)n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2cnn(CCO)c2)c2ncccc12; [None]; [None]; [0]
-CC(C)(C)c1nc(-n2ccc(=O)c3cccnc32)cs1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2ccc(=O)c3cccnc32)c1)c1ccccc1; [None]; [None]; [0]
-O=c1ccn(C2CCCCC2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc3c(c2)CCC3)c2ncccc12; [None]; [None]; [0]
-O=c1ccn([C@@H]2CC[C@@H](CO)OC2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(CC2CCCCC2)c2ncccc12; [None]; [None]; [0]
-COc1cnc(-n2ccc(=O)c3cccnc32)nc1; [None]; [None]; [0]
-Cc1ccc(-n2ccc(=O)c3cccnc32)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2cnco2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnc3ccccn23)c2ncccc12; [None]; [None]; [0]
-CNc1nc(C)c(-n2ccc(=O)c3cccnc32)s1; [None]; [None]; [0]
-Cc1nc(C)c(-n2ccc(=O)c3cccnc32)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2c(Cl)cccc2Cl)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnc3cccnn23)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(Cn3cncn3)c2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(Cl)c2Cl)c2ncccc12; [None]; [None]; [0]
-Cc1ncc(-n2ccc(=O)c3cccnc32)[nH]1; [None]; [None]; [0]
-CCC(C)(C)n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-Cc1ccc(Cl)c(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-COc1cccc(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-Nc1nccc(-n2ccc(=O)c3cccnc32)n1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cn1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2ccc(Cl)s2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc3ccccc3c2)c2ncccc12; [None]; [None]; [0]
-CCCCn1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-n3ccc(=O)c4cccnc43)cc2)cn1; [None]; [None]; [0]
-O=c1ccn(-c2cncc3ccccc23)c2ncccc12; [None]; [None]; [0]
-Nc1[nH]nc2cc(-n3ccc(=O)c4cccnc43)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-n3ccc(=O)c4cccnc43)ccc21; [None]; [None]; [0]
-CCCn1cnc(-n2ccc(=O)c3cccnc32)n1; [None]; [None]; [0]
-[NH3+]CCCn1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2cccc(O)c2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(CO)c2)c2ncccc12; [None]; [None]; [0]
-Cn1cncc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](n2ccc(=O)c3cccnc32)C1; [None]; [None]; [0]
-O=c1ccn(-c2cccs2)c2ncccc12; [None]; [None]; [0]
-Cn1cc(-n2ccc(=O)c3cccnc32)cn1; [None]; [None]; [0]
-O=c1ccn(-c2ccco2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2csc3ncncc23)c2ncccc12; [None]; [None]; [0]
-CC(C)c1oncc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-CSc1nc(-n2ccc(=O)c3cccnc32)c[nH]1; [None]; [None]; [0]
-CCNc1nc2ccc(-n3ccc(=O)c4cccnc43)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-N#CCCc1cccc(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-Cn1cc(-n2ccc(=O)c3cccnc32)c2ccccc21; [None]; [None]; [0]
-O=c1ccn(-c2ccc(F)cc2C(F)(F)F)c2ncccc12; [None]; [None]; [0]
-COc1ccc(-n2ccc(=O)c3cccnc32)cc1Cl; [None]; [None]; [0]
-O=c1ccn(-c2cnn3ccccc23)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnoc2)c2ncccc12; [None]; [None]; [0]
-C[C@H](n1ccc(=O)c2cccnc21)C(F)(F)F; [None]; [None]; [0]
-Cc1cc(-n2ccc(=O)c3cccnc32)no1; [None]; [None]; [0]
-O=c1ccn(-c2ccn([C@@H2]CO)c(=O)c2)c2ncccc12; [None]; [None]; [0]
-CCCn1cc(-n2ccc(=O)c3cccnc32)cn1; [None]; [None]; [0]
-O=c1cc(-n2ccc(=O)c3cccnc32)cc[nH]1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=C1CCc2cccc(-n3ccc(=O)c4cccnc43)c21; [None]; [None]; [0]
-COc1cc(CCn2ccc(=O)c3cccnc32)cc(OC)c1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-CCOC(=O)Cn1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=C([O-])c1cc(-n2ccc(=O)c3cccnc32)ccc1Cl; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-n3ccc(=O)c4cccnc43)cc12; [None]; [None]; [0]
-O=c1ccn(-c2c[nH]c3cnccc23)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2c[nH]c3ccccc23)c2ncccc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn([C@H](CO)Cc2ccccc2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnc3[nH]ccc3c2)c2ncccc12; [None]; [None]; [0]
-CC1(n2ccc(=O)c3cccnc32)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](n2ccc(=O)c3cccnc32)C1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](n2ccc(=O)c3cccnc32)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](n2ccc(=O)c3cccnc32)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](n2ccc(=O)c3cccnc32)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](n2ccc(=O)c3cccnc32)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2ccc(N3CCOCC3)cc2)c2ncccc12; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2nc[nH]n2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(-n3cncn3)cc2)c2ncccc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2nc3ccc(O)cc3[nH]2)c2ncccc12; [None]; [None]; [0]
-Cc1nc[nH]c1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2cccnc2O)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(Cc2ccncc2)c2ncccc12; [None]; [None]; [0]
-CC(C)n1cnnc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-CSc1nc(C)c(-n2ccc(=O)c3cccnc32)[nH]1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-COc1ccc(-n2ccc(=O)c3cccnc32)c(OC)c1; [None]; [None]; [0]
-Cn1cnnc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2nncn2C2CC2)c2ncccc12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2cn(Cc3ccccc3)nn2)c2ncccc12; [None]; [None]; [0]
-O=C(CCn1ccc(=O)c2cccnc21)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-n2ccc(=O)c3cccnc32)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-n2ccc(=O)c3cccnc32)s1; [None]; [None]; [0]
-CCCCc1cc(-n2ccc(=O)c3cccnc32)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2ccc(=O)c3cccnc32)s1; [None]; [None]; [0]
-Nc1nnc(-n2ccc(=O)c3cccnc32)s1; [None]; [None]; [0]
-Cc1cncc(-n2ccc(=O)c3cccnc32)n1; [None]; [None]; [0]
-O=c1ccn(-c2nc3ccccc3s2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2csc(N3CCOCC3)n2)c2ncccc12; [None]; [None]; [0]
-COc1cccc(F)c1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(CC2CCOCC2)c2ncccc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-n2ccc(=O)c3cccnc32)[nH]1; [None]; [None]; [0]
-O=c1ccn(-c2cccc3ccsc23)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnccc2N2CCOCC2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ncc3ccccc3n2)c2ncccc12; [None]; [None]; [0]
-Cn1cc(-n2ccc(=O)c3cccnc32)c(=O)n1C; [None]; [None]; [0]
-O=c1ccn(-c2ncc3cc[nH]c3n2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2c[nH]c3cccnc23)c2ncccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cn1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(Cc2cccnc2)c2ncccc12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](n2ccc(=O)c3cccnc32)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-Cc1cc(C)cc(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-CN(C)c1cc(-n2ccc(=O)c3cccnc32)cnn1; [None]; [None]; [0]
-N#Cc1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=c1ccn(N2CCC(c3nc4ccccc4[nH]3)CC2)c2ncccc12; [None]; [None]; [0]
-CCOc1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-COc1ncccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-COc1cccc(N2CCC(n3ccc(=O)c4cccnc43)CC2)c1; [None]; [None]; [0]
-Cn1nncc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-COc1cc(-n2ccc(=O)c3cccnc32)cc(OC)c1OC; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-COc1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2ccc(=O)c3cccnc32)c1)C1CC1; [None]; [None]; [0]
-Cc1nn(C)cc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-n2ccc(=O)c3cccnc32)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=c1ccn(Nc2ncccn2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2nc3ccccc3[nH]2)c2ncccc12; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2cccc(F)c2)c2ncccc12; [None]; [None]; [0]
-CC(=O)NCc1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2ccc(Cl)cc2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(Cc2nccc3ccccc23)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(C3CCNCC3)c2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(OCCO)cc2)c2ncccc12; [None]; [None]; [0]
-O=C(c1ccc(-n2ccc(=O)c3cccnc32)nc1)N1CCOCC1; [None]; [None]; [0]
-Cc1cc(-n2ccc(=O)c3cccnc32)nn1C; [None]; [None]; [0]
-O=C(c1ccc(-n2ccc(=O)c3cccnc32)cc1)N1CCOCC1; [None]; [None]; [0]
-O=c1ccn(Cc2ccccc2)c2ncccc12; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2ccc(C(F)(F)F)cc2)c2ncccc12; [None]; [None]; [0]
-CN(C)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cn1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(Cc2ccccc2O)c2ncccc12; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(n2ccc(=O)c3cccnc32)CC1; [None]; [None]; [0]
-Nc1ncc(Cn2ccc(=O)c3cccnc32)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](n2ccc(=O)c3cccnc32)C1; [None]; [None]; [0]
-O=c1ccn(-c2cncnc2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(Cc2cncnc2)c2ncccc12; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2cnc(Cl)nc2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(Br)cc2)c2ncccc12; [None]; [None]; [0]
-CN(C)c1ccc(-n2ccc(=O)c3cccnc32)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-COc1ccc(Cl)cc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2cn[nH]c2)c2ncccc12; [None]; [None]; [0]
-COc1ccc(Cn2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-COc1cc(OC)c(-n2ccc(=O)c3cccnc32)cc1Cl; [None]; [None]; [0]
-Cc1cc(-n2ccc(=O)c3cccnc32)sn1; [None]; [None]; [0]
-O=c1ccn(-c2ccc3c(c2)CCO3)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(Cn2ccnc2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc[nH]2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cc(-c3ccccc3)[nH]n2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cc(N3CCOCC3)ccn2)c2ncccc12; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(n3ccc(=O)c4cccnc43)CC2)c1; [None]; [None]; [0]
-O=c1ccn(-c2cc3ccccc3cn2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc3c2OCO3)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2scc3c2OCCO3)c2ncccc12; [None]; [None]; [0]
-COc1cc(-n2ccc(=O)c3cccnc32)ccc1O; [None]; [None]; [0]
-O=c1ccn(-c2ccc(F)c(F)c2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccnc2Oc2ccccc2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnc3ccccc3c2)c2ncccc12; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](n2ccc(=O)c3cccnc32)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](n2ccc(=O)c3cccnc32)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-n3ccc(=O)c4cccnc43)cc2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-n2ccc(=O)c3cccnc32)cn1; [None]; [None]; [0]
-Cc1cc(-n2ccc(=O)c3cccnc32)nc(N)n1; [None]; [None]; [0]
-O=c1ccn([C@@H]2CC[C@@H](O)CC2)c2ncccc12; [None]; [None]; [0]
-COc1cccc(C(=O)Nn2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-O=c1ccn(-c2ccc(F)cc2Cl)c2ncccc12; [None]; [None]; [0]
-CCCCCn1ccc(=O)c2cccnc21; [None]; [None]; [0]
-CSc1cccc(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-O=c1ccn([C@H]2CC[C@@H](O)C2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ncc(Br)cn2)c2ncccc12; [None]; [None]; [0]
-CCc1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-COc1ccc(-n2ccc(=O)c3cccnc32)cc1OC; [None]; [None]; [0]
-O=c1ccn(-c2ccc(Cl)cc2Cl)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(CCCn2cncn2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccsc2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ncc3cccn3n2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2cc3ccccn3n2)c2ncccc12; [None]; [None]; [0]
-Cn1cc(-n2ccc(=O)c3cccnc32)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(-n2ccc(=O)c3cccnc32)ccc1N1CCOCC1; [None]; [None]; [0]
-O=c1ccn(-c2ccc(N3CCCCC3)cc2)c2ncccc12; [None]; [None]; [0]
-COc1ccc2cccc(-n3ccc(=O)c4cccnc43)c2c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-n3ccc(=O)c4cccnc43)ccc2O1; [None]; [None]; [0]
-COc1cc(F)c(-n2ccc(=O)c3cccnc32)cc1OC; [None]; [None]; [0]
-COc1cc(-n2ccc(=O)c3cccnc32)ccc1Cl; [None]; [None]; [0]
-O=c1ccn(-c2cccc3ccc(O)cc23)c2ncccc12; [None]; [None]; [0]
-Cc1csc2c(-n3ccc(=O)c4cccnc43)ncnc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(-n3nccn3)c2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ncc(Cl)cn2)c2ncccc12; [None]; [None]; [0]
-COc1cc(-n2ccc(=O)c3cccnc32)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cn2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-Cc1ccc(-n2ccc(=O)c3cccnc32)o1; [None]; [None]; [0]
-O=c1ccn(Cc2ccc(S(=O)(=O)CCO)cc2)c2ncccc12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](n2ccc(=O)c3cccnc32)CC1; [None]; [None]; [0]
-NC(=O)c1ccc(Cn2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2cc(F)cc3c2OCOC3)c2ncccc12; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](n2ccc(=O)c3cccnc32)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(n2ccc(=O)c3cccnc32)CC1; [None]; [None]; [0]
-COc1ccc2oc(-n3ccc(=O)c4cccnc43)cc2c1; [None]; [None]; [0]
-O=c1ccn(-c2ccc3cn[nH]c3c2)c2ncccc12; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-O=c1ccn(-c2cc(-c3cccnc3)ccn2)c2ncccc12; [None]; [None]; [0]
-Cc1nc(-n2ccc(=O)c3cccnc32)c2sccc2n1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2cc3ccccc3o2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ncc3cc(Cl)ccc3n2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ncc3sccc3n2)c2ncccc12; [None]; [None]; [0]
-COc1ccc2nc(-n3ccc(=O)c4cccnc43)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2ccc(=O)c3cccnc32)c1)N1CCCC1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2cscn2)c2ncccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(OC(F)(F)F)cc2)c2ncccc12; [None]; [None]; [0]
-O=C([O-])c1ccc(-n2ccc(=O)c3cccnc32)cc1Cl; [None]; [None]; [0]
-CCc1cccc(-n2ccc(=O)c3cccnc32)n1; [None]; [None]; [0]
-Cc1ccc(-n2ccc(=O)c3cccnc32)nc1C; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-n2ccc(=O)c3cccnc32)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-n3ccc(=O)c4cccnc43)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-n2ccc(=O)c3cccnc32)cn1; [None]; [None]; [0]
-Cc1cc(-n2ccc(=O)c3cccnc32)cc(C)c1OCCO; [None]; [None]; [0]
-O=c1ccn(C2CCC(F)(F)CC2)c2ncccc12; [None]; [None]; [0]
-C[NH+](C)CCCn1ccc(=O)c2cccnc21; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(-c2ccc(CCO)cc2)c2ncccc12; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-O=c1ccn(C2CCS(=O)(=O)CC2)c2ncccc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-n2ccc(=O)c3cccnc32)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-n2ccc(=O)c3cccnc32)c(Cl)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-n1ccc(=O)c2cccnc21; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2ccc(=O)c3cccnc32)c(OC)c1; [None]; [None]; [0]
-O=c1ccn(-c2ccccc2)c2cc(F)ccc12; [None]; [None]; [0]
-CCOc1ccccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-n2ccc(=O)c3cccnc32)c1; [None]; [None]; [0]
-COC(C)(C)CCn1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-n2ccc(=O)c3ccc(F)cc32)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-CNC(=O)c1ccccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(Cc2cc(F)cc(F)c2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn([C@@H]2C[C@H](O)C2)c2cc(F)ccc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(C2CCOCC2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cc[nH]n2)c2cc(F)ccc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2cccnc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccnc3ccccc23)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1cccc(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-O=c1ccn(-c2ccccc2Cl)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(C(F)(F)F)c2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccccc2Br)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccccc2OC(F)(F)F)c2cc(F)ccc12; [None]; [None]; [0]
-O=C([O-])c1ccccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2ccccc2F)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2c(F)cccc2F)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnn(Cc3ccccc3)c2)c2cc(F)ccc12; [None]; [None]; [0]
-N#Cc1ccccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-N[C@@H](c1ccco1)n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2ccncn2)c2cc(F)ccc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=C(Nc1cccc(-n2ccc(=O)c3ccc(F)cc32)c1)c1ccccc1; [None]; [None]; [0]
-CC(C)(C)c1nc(-n2ccc(=O)c3ccc(F)cc32)cs1; [None]; [None]; [0]
-O=c1ccn(-c2cnc(-c3ccccc3)[nH]2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc3c(c2)CCC3)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn([C@@H]2CC[C@@H](CO)OC2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(CC2CCCCC2)c2cc(F)ccc12; ['BrCC1CCCCC1']; ['Oc1ccnc2cc(F)ccc12']; [0.999999642]
-O=c1ccn(-c2cnn(CCO)c2)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1ccc(-n2ccc(=O)c3ccc(F)cc32)c(Br)c1; [None]; [None]; [0]
-O=c1ccn(C2CCCCC2)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1nc2ccccn2c1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-COc1cnc(-n2ccc(=O)c3ccc(F)cc32)nc1; [None]; [None]; [0]
-CNc1nc(C)c(-n2ccc(=O)c3ccc(F)cc32)s1; [None]; [None]; [0]
-O=c1ccn(-c2cnco2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnc3ccccn23)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1nc(N)sc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2c(Cl)cccc2Cl)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1nc(C)c(-n2ccc(=O)c3ccc(F)cc32)s1; [None]; [None]; [0]
-O=c1ccn(-c2cnc3cccnn23)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(Cn3cncn3)c2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(Cl)c2Cl)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1ncc(-n2ccc(=O)c3ccc(F)cc32)[nH]1; [None]; [None]; [0]
-CCC(C)(C)n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-Cc1ccc(Cl)c(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-COc1cccc(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-O=c1ccn(-c2ccc(Cl)s2)c2cc(F)ccc12; [None]; [None]; [0]
-Nc1nccc(-n2ccc(=O)c3ccc(F)cc32)n1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cn1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2ccc3ccccc3c2)c2cc(F)ccc12; [None]; [None]; [0]
-CCCCn1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2cncc3ccccc23)c2cc(F)ccc12; [None]; [None]; [0]
-Nc1[nH]nc2cc(-n3ccc(=O)c4ccc(F)cc43)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-n3ccc(=O)c4ccc(F)cc43)ccc21; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-O=c1ccn(-c2cccc(O)c2)c2cc(F)ccc12; [None]; [None]; [0]
-[NH3+]CCCn1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(-n3ccc(=O)c4ccc(F)cc43)cc2)cn1; [None]; [None]; [0]
-CCCn1cnc(-n2ccc(=O)c3ccc(F)cc32)n1; [None]; [None]; [0]
-Cn1cncc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](n2ccc(=O)c3ccc(F)cc32)C1; [None]; [None]; [0]
-O=c1ccn(-c2cccc(CO)c2)c2cc(F)ccc12; [None]; [None]; [0]
-Cn1cc(-n2ccc(=O)c3ccc(F)cc32)cn1; [None]; [None]; [0]
-O=c1ccn(-c2ccco2)c2cc(F)ccc12; [None]; [None]; [0]
-CC(C)c1oncc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2csc3ncncc23)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccs2)c2cc(F)ccc12; [None]; [None]; [0]
-CCNc1nc2ccc(-n3ccc(=O)c4ccc(F)cc43)cc2s1; [None]; [None]; [0]
-CSc1nc(-n2ccc(=O)c3ccc(F)cc32)c[nH]1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-N#CCCc1cccc(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-Cn1cc(-n2ccc(=O)c3ccc(F)cc32)c2ccccc21; [None]; [None]; [0]
-COc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1Cl; [None]; [None]; [0]
-O=c1ccn(-c2cnn3ccccc23)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(F)cc2C(F)(F)F)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cnoc2)c2cc(F)ccc12; [None]; [None]; [0]
-CCCn1cc(-n2ccc(=O)c3ccc(F)cc32)cn1; [None]; [None]; [0]
-C[C@H](n1ccc(=O)c2ccc(F)cc21)C(F)(F)F; [None]; [None]; [0]
-O=C1CCc2cccc(-n3ccc(=O)c4ccc(F)cc43)c21; [None]; [None]; [0]
-O=c1ccn(-c2ccn([C@@H2]CO)c(=O)c2)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1cc(-n2ccc(=O)c3ccc(F)cc32)no1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=c1cc(-n2ccc(=O)c3ccc(F)cc32)cc[nH]1; [None]; [None]; [0]
-CCOC(=O)Cn1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-n3ccc(=O)c4ccc(F)cc43)cc12; [None]; [None]; [0]
-COc1cc(CCn2ccc(=O)c3ccc(F)cc32)cc(OC)c1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2c[nH]c3cnccc23)c2cc(F)ccc12; [None]; [None]; [0]
-O=C([O-])c1cc(-n2ccc(=O)c3ccc(F)cc32)ccc1Cl; [None]; [None]; [0]
-CC1(n2ccc(=O)c3ccc(F)cc32)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=c1ccn(-c2cnc3[nH]ccc3c2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2c[nH]c3ccccc23)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn([C@H](CO)Cc2ccccc2)c2cc(F)ccc12; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](n2ccc(=O)c3ccc(F)cc32)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](n2ccc(=O)c3ccc(F)cc32)C1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](n2ccc(=O)c3ccc(F)cc32)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](n2ccc(=O)c3ccc(F)cc32)C1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](n2ccc(=O)c3ccc(F)cc32)CC1; [None]; [None]; [0]
-O=c1ccn(-c2ccc(N3CCOCC3)cc2)c2cc(F)ccc12; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2nc[nH]n2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(-n3cncn3)cc2)c2cc(F)ccc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2nc3ccc(O)cc3[nH]2)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1nc[nH]c1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2cccnc2O)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(Cc2ccncc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-CSc1nc(C)c(-n2ccc(=O)c3ccc(F)cc32)[nH]1; [None]; [None]; [0]
-Cn1cnnc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-COc1ccc(-n2ccc(=O)c3ccc(F)cc32)c(OC)c1; [None]; [None]; [0]
-CC(C)n1cnnc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2cn(Cc3ccccc3)nn2)c2cc(F)ccc12; [None]; [None]; [0]
-O=C(CCn1ccc(=O)c2ccc(F)cc21)NCc1ccccn1; [None]; [None]; [0]
-O=c1ccn(-c2nncn2C2CC2)c2cc(F)ccc12; [None]; [None]; [0]
-Nc1ncc(-n2ccc(=O)c3ccc(F)cc32)s1; [None]; [None]; [0]
-CCc1cc(-n2ccc(=O)c3ccc(F)cc32)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)s1; [None]; [None]; [0]
-CCCCc1cc(-n2ccc(=O)c3ccc(F)cc32)nc(N)n1; [None]; [None]; [0]
-Nc1nnc(-n2ccc(=O)c3ccc(F)cc32)s1; [None]; [None]; [0]
-Cc1cncc(-n2ccc(=O)c3ccc(F)cc32)n1; [None]; [None]; [0]
-O=c1ccn(-c2nc3ccccc3s2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2csc(N3CCOCC3)n2)c2cc(F)ccc12; [None]; [None]; [0]
-COc1cccc(F)c1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(CC2CCOCC2)c2cc(F)ccc12; ['BrCC1CCOCC1']; ['Oc1ccnc2cc(F)ccc12']; [0.999999881]
-O=c1ccn(-c2cccc3ccsc23)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ncc3ccccc3n2)c2cc(F)ccc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-n2ccc(=O)c3ccc(F)cc32)[nH]1; [None]; [None]; [0]
-O=c1ccn(-c2c[nH]c3cccnc23)c2cc(F)ccc12; [None]; [None]; [0]
-Cn1cc(-n2ccc(=O)c3ccc(F)cc32)c(=O)n1C; [None]; [None]; [0]
-O=c1ccn(-c2cnccc2N2CCOCC2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(Cc2cccnc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ncc3cc[nH]c3n2)c2cc(F)ccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-COc1ccc(OC)c(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](n2ccc(=O)c3ccc(F)cc32)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cn1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-CN(C)c1cc(-n2ccc(=O)c3ccc(F)cc32)cnn1; [None]; [None]; [0]
-O=c1ccn(N2CCC(c3nc4ccccc4[nH]3)CC2)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1cc(C)cc(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-N#Cc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-CCOc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-COc1ncccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-COc1cccc(N2CCC(n3ccc(=O)c4ccc(F)cc43)CC2)c1; [None]; [None]; [0]
-Cn1nncc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-COc1cc(-n2ccc(=O)c3ccc(F)cc32)cc(OC)c1OC; [None]; [None]; [0]
-Cc1nn(C)cc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-COc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2ccc(=O)c3ccc(F)cc32)c1)C1CC1; [None]; [None]; [0]
-O=c1ccn(-c2nc3ccccc3[nH]2)c2cc(F)ccc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-n2ccc(=O)c3ccc(F)cc32)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=c1ccn(Nc2ncccn2)c2cc(F)ccc12; [None]; [None]; [0]
-NC(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=c1ccn(Cc2nccc3ccccc23)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(F)c2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(Cl)cc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(OCCO)cc2)c2cc(F)ccc12; [None]; [None]; [0]
-CC(=O)NCc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2cccc(C3CCNCC3)c2)c2cc(F)ccc12; [None]; [None]; [0]
-O=C(c1ccc(-n2ccc(=O)c3ccc(F)cc32)nc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1)N1CCOCC1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=c1ccn(Cc2ccccc2)c2cc(F)ccc12; [None]; [None]; [0]
-CNS(=O)(=O)Cn1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-Cc1cc(-n2ccc(=O)c3ccc(F)cc32)nn1C; [None]; [None]; [0]
-O=c1ccn(-c2ccc(C(F)(F)F)cc2)c2cc(F)ccc12; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=c1ccn(Cc2ccccc2O)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(Cc2cncnc2)c2cc(F)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-Nc1ncc(Cn2ccc(=O)c3ccc(F)cc32)cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(n2ccc(=O)c3ccc(F)cc32)CC1; [None]; [None]; [0]
-O=c1ccn(-c2cnc(Cl)nc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cncnc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](n2ccc(=O)c3ccc(F)cc32)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2ccc(Br)cc2)c2cc(F)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-COc1ccc(Cn2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2cn[nH]c2)c2cc(F)ccc12; [None]; [None]; [0]
-COc1cc(OC)c(-n2ccc(=O)c3ccc(F)cc32)cc1Cl; [None]; [None]; [0]
-O=c1ccn(-c2ccc[nH]2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc3c(c2)CCO3)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1cc(-n2ccc(=O)c3ccc(F)cc32)sn1; [None]; [None]; [0]
-O=c1ccn(-c2cc(N3CCOCC3)ccn2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(Cn2ccnc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cc(-c3ccccc3)[nH]n2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cc3ccccc3cn2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc3c2OCO3)c2cc(F)ccc12; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(n3ccc(=O)c4ccc(F)cc43)CC2)c1; [None]; [None]; [0]
-COc1cc(-n2ccc(=O)c3ccc(F)cc32)ccc1O; [None]; [None]; [0]
-O=c1ccn(-c2scc3c2OCCO3)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(F)c(F)c2)c2cc(F)ccc12; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](n2ccc(=O)c3ccc(F)cc32)CC1; [None]; [None]; [0]
-O=c1ccn(-c2cnc3ccccc3c2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccnc2Oc2ccccc2)c2cc(F)ccc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](n2ccc(=O)c3ccc(F)cc32)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cn1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-n3ccc(=O)c4ccc(F)cc43)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-COc1cccc(C(=O)Nn2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-Cc1cc(-n2ccc(=O)c3ccc(F)cc32)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-O=c1ccn([C@@H]2CC[C@@H](O)CC2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn([C@H]2CC[C@@H](O)C2)c2cc(F)ccc12; [None]; [None]; [0]
-CCCCCn1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-COc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1OC; [None]; [None]; [0]
-O=c1ccn(-c2ccc(F)cc2Cl)c2cc(F)ccc12; [None]; [None]; [0]
-CCc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2ncc(Br)cn2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccsc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(CCCn2cncn2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(Cl)cc2Cl)c2cc(F)ccc12; [None]; [None]; [0]
-COc1cc(-n2ccc(=O)c3ccc(F)cc32)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-n3ccc(=O)c4ccc(F)cc43)ccc2O1; [None]; [None]; [0]
-O=c1ccn(-c2cc3ccccn3n2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ncc3cccn3n2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ccc(N3CCCCC3)cc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc3ccc(O)cc23)c2cc(F)ccc12; [None]; [None]; [0]
-Cn1cc(-n2ccc(=O)c3ccc(F)cc32)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(F)c(-n2ccc(=O)c3ccc(F)cc32)cc1OC; [None]; [None]; [0]
-O=c1ccn(-c2ncc(Cl)cn2)c2cc(F)ccc12; [None]; [None]; [0]
-COc1ccc2cccc(-n3ccc(=O)c4ccc(F)cc43)c2c1; [None]; [None]; [0]
-Cc1csc2c(-n3ccc(=O)c4ccc(F)cc43)ncnc12; [None]; [None]; [0]
-Cc1ccc(-n2ccc(=O)c3ccc(F)cc32)o1; [None]; [None]; [0]
-COc1cc(-n2ccc(=O)c3ccc(F)cc32)ccc1Cl; [None]; [None]; [0]
-COc1cc(-n2ccc(=O)c3ccc(F)cc32)c(OC)cc1Br; [None]; [None]; [0]
-O=c1ccn(Cc2ccc(S(=O)(=O)CCO)cc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cccc(-n3nccn3)c2)c2cc(F)ccc12; [None]; [None]; [0]
-NC(=O)c1ccc(Cn2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cn2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-O=c1ccn(-c2cc(F)cc3c2OCOC3)c2cc(F)ccc12; [None]; [None]; [0]
-CCNC(=O)N1CCC(n2ccc(=O)c3ccc(F)cc32)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](n2ccc(=O)c3ccc(F)cc32)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-COc1ccc2oc(-n3ccc(=O)c4ccc(F)cc43)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](n2ccc(=O)c3ccc(F)cc32)CC1; [None]; [None]; [0]
-O=c1ccn(-c2ccc3cn[nH]c3c2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cc3ccccc3o2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2cc(-c3cccnc3)ccn2)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1nc(-n2ccc(=O)c3ccc(F)cc32)c2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-O=c1ccn(-c2ncc3sccc3n2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(-c2ncc3cc(Cl)ccc3n2)c2cc(F)ccc12; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-COc1ccc2nc(-n3ccc(=O)c4ccc(F)cc43)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2ccc(=O)c3ccc(F)cc32)c1)N1CCCC1; [None]; [None]; [0]
-O=c1ccn(-c2ccc(OC(F)(F)F)cc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=C([O-])c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1Cl; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-n2ccc(=O)c3ccc(F)cc32)n1; [None]; [None]; [0]
-Cc1ccc(-n2ccc(=O)c3ccc(F)cc32)nc1C; [None]; [None]; [0]
-O=c1ccn(-c2cscn2)c2cc(F)ccc12; [None]; [None]; [0]
-Cc1cc(-n2ccc(=O)c3ccc(F)cc32)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-n3ccc(=O)c4ccc(F)cc43)ccc12; [None]; [None]; [0]
-CCc1cccc(-n2ccc(=O)c3ccc(F)cc32)n1; [None]; [None]; [0]
-CN(C)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cn1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-O=c1ccn(C2CCC(F)(F)CC2)c2cc(F)ccc12; [None]; [None]; [0]
-C[NH+](C)CCCn1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-O=c1ccn(-c2ccc(CCO)cc2)c2cc(F)ccc12; [None]; [None]; [0]
-O=c1ccn(C2CCS(=O)(=O)CC2)c2cc(F)ccc12; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)c(OC)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-n2ccc(=O)c3ccc(F)cc32)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-n2ccc(=O)c3ccc(F)cc32)c1; [None]; [None]; [0]
-N#Cc1c(Nc2ccccc2)sc2c1CCCC2; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-n1ccc(=O)c2ccc(F)cc21; [None]; [None]; [0]
-Cc1cc(F)ccc1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
-Cc1ccccc1Nc1sc2c(c1C#N)CCCC2; ['Cc1ccccc1Br']; ['N#Cc1c(N)sc2c1CCCC2']; [0.999172628]
-N#Cc1c(Nc2ccc(C(N)=O)cc2F)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2cn[nH]c2Cl)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(C(=O)[O-])cc2)sc2c1CCCC2; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2c(Cl)ccc3c2OCO3)sc2c1CCCC2; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(Nc3sc4c(c3C#N)CCCC4)ccc12; [None]; [None]; [0]
-N#Cc1c(Nc2c[nH]c(C(N)=O)c2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2nnco2)sc2c1CCCC2; [None]; [None]; [0]
-Cc1nnc(Nc2sc3c(c2C#N)CCCC3)o1; [None]; [None]; [0]
-N#Cc1c(Nc2cnc3[nH]ccc3c2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(NC2CCOCC2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ncc(F)cn2)sc2c1CCCC2; [None]; [None]; [0]
-CNc1nccc(Nc2sc3c(c2C#N)CCCC3)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(Br)o2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2nncs2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2cc(N)[nH]n2)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2cccc([O-])c2)sc2c1CCCC2; [None]; [None]; [0]
-Cc1n[nH]c(Nc2sc3c(c2C#N)CCCC3)c1C; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(C(=O)NC3CC3)cc2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['O=C(NC1CC1)c1ccc(Br)cc1']; [0.999489307]
-N#Cc1c(Nc2[nH]nc3ccc(F)cc23)sc2c1CCCC2; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
-Cc1cc(Nc2sc3c(c2C#N)CCCC3)ccc1C(N)=O; [None]; [None]; [0]
-N#Cc1c(Nc2[nH]cnc2-c2ccc(F)cc2)sc2c1CCCC2; [None]; [None]; [0]
-Cn1c(-c2cnc3ccccn23)nc2ccccc21; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cnc2ccccn12; ['Cc1cc(F)ccc1Cl', 'Cc1cccc(F)c1']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999493599, 0.999493599]
-N#Cc1c(Nc2cn[nH]c2-c2ccc(Cl)cc2)sc2c1CCCC2; [None]; [None]; [0]
-Cc1ccccc1-c1cnc2ccccn12; ['Cc1ccccc1Cl', 'Cc1ccccc1Br']; ['c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999955535, 0.999955535]
-Clc1[nH]ncc1-c1cnc2ccccn12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3ccccn23)c(F)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnc3ccccn23)cc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnc2ccccn12; ['Cc1ccc2[nH]ncc2c1B(O)O', 'Brc1cnc2ccccn12']; ['Ic1cnc2ccccn12', 'Cc1ccc2[nH]ncc2c1B(O)O']; [0.999923, 0.999923]
-O=C([O-])Cc1ccn(-c2cnc3ccccn23)c1; [None]; [None]; [0]
-Clc1ccc(CCc2cnc3ccccn23)cc1; ['Brc1cnc2ccccn12']; ['Clc1ccc(CC[Mg]Br)cc1']; [0.997116804]
-NC(=O)c1cc(-c2cnc3ccccn23)c[nH]1; [None]; [None]; [0]
-COCCCc1cnc2ccccn12; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cnc3ccccn13)OCO2; ['Clc1ccc2c(c1)OCO2']; ['c1ccn2ccnc2c1']; [0.991608679]
-Cc1nnc(-c2cnc3ccccn23)o1; [None]; [None]; [0]
-c1ccn2c(-c3nnco3)cnc2c1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnc4ccccn34)ccc12; [None]; [None]; [0]
-Fc1cnc(-c2cnc3ccccn23)nc1; [None]; [None]; [0]
-c1ccn2c(-c3cnc4[nH]ccc4c3)cnc2c1; [None]; [None]; [0]
-c1ccn2c(C3CCOCC3)cnc2c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnc2ccccn12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc3ncnn23)[nH]1; [None]; [None]; [0]
-Brc1ccc(-c2cnc3ccccn23)o1; [None]; [None]; [0]
-Nc1cc(-c2cnc3ccccn23)n[nH]1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnc2ccccn12; ['CNc1cccc(Cl)c1']; ['Clc1cnc2ccccn12']; [0.997781098]
-c1ccn2c(-c3nncs3)cnc2c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cnc4ccccn34)c2c1; [None]; [None]; [0]
-Cc1cc(-c2cnc3ccccn23)ccc1C(N)=O; [None]; [None]; [0]
-[O-]c1cccc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnc3ccccn23)c1C; [None]; [None]; [0]
-c1ccc2c(COc3cnc4ccccn34)cccc2c1; ['Brc1cnc2ccccn12']; ['OCc1cccc2ccccc12']; [0.990644336]
-O=C(NC1CC1)c1ccc(-c2cnc3ccccn23)cc1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C']; ['Clc1cnc2ccccn12']; [0.999999642]
-Fc1ccc(-c2nc[nH]c2-c2cnc3ccccn23)cc1; [None]; [None]; [0]
-c1ccc2c(CCc3cnc4ccccn34)c[nH]c2c1; [None]; [None]; [0]
-Fc1ccc(COc2cnc3ccccn23)c(F)c1; ['Clc1cnc2ccccn12']; ['OCc1ccc(F)cc1F']; [0.999486923]
-Cc1onc(-c2ccccc2)c1-c1cnc2ccccn12; ['Cc1onc(-c2ccccc2)c1I']; ['c1ccn2ccnc2c1']; [0.999876738]
-Clc1ccc(-c2[nH]ncc2-c2cnc3ccccn23)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C#N)cc1; ['COC(=O)c1sccc1N']; ['N#Cc1ccc(CC(=O)O)cc1']; [0.999934077]
-Fc1ccc(CCc2cnc3ccccn23)c(F)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N(C)C(C)=O)cc1; [None]; [None]; [0]
-CCOc1ccc(CC(=O)Nc2ccsc2C(=O)OC)cc1; ['CCOc1ccc(CC(=O)O)cc1']; ['COC(=O)c1sccc1N']; [0.99992764]
-COC(=O)c1sccc1NC(=O)Cc1ncc2ccccc2n1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)CC1CCN(c2cccc(OC)c2)CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc(S(C)(=O)=O)c1; ['COC(=O)c1sccc1N']; ['CS(=O)(=O)c1cccc(CC(=O)O)c1']; [0.99998641]
-COC(=O)c1sccc1NC(=O)Cc1c[nH]nc1C; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cn1cnc2ccc(C)cc21; ['COC(=O)c1sccc1NC(=O)CCl']; ['Cc1ccc2nc[nH]c2c1']; [0.999957919]
-COC(=O)c1sccc1NC(=O)Cc1cccnc1OC; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(OC)c(OC)c(OC)c1; ['COC(=O)c1sccc1N']; ['COc1cc(CC(=O)O)cc(OC)c1OC']; [0.999397516]
-COC(=O)c1sccc1NC(=O)Cc1cnnn1C; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cnn(C)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cn(C)nc1C; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cnc2cccnn12; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(OC)cc1; ['COC(=O)c1sccc1N']; ['COc1ccc(CC(=O)O)cc1']; [0.999848843]
-COC(=O)c1sccc1NC(=O)Cc1nc2ccccc2[nH]1; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1nc2ccccc2[nH]1']; [0.999986172]
-COC(=O)c1sccc1NC(=O)Cc1cccc(O)c1; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1cccc(O)c1']; [0.999349892]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccccc1; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1ccccc1']; [0.999134]
-COC(=O)c1sccc1NC(=O)Cc1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cn1ncc2ccccc2c1=O; ['COC(=O)c1sccc1NC(=O)CCl']; ['O=c1[nH]ncc2ccccc12']; [0.999017835]
-COC(=O)c1sccc1NC(=O)Cc1ccc(NS(C)(=O)=O)nc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(N)=O)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)CNc1ncccn1; ['COC(=O)c1sccc1NC(=O)CCl']; ['Nc1ncccn1']; [0.994396329]
-COC(=O)c1sccc1NC(=O)Cc1cccc(F)c1; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1cccc(F)c1']; [0.999993682]
-COC(=O)c1sccc1NC(=O)CCc1nccc2ccccc12; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(OCCO)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(Cl)cc1; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1ccc(Cl)cc1']; [0.99991]
-COC(=O)c1sccc1NC(=O)Cc1ccc(CNC(C)=O)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(C)n(C)n1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(F)(F)F)cc1; ['COC(=O)c1sccc1N']; ['O=C(Cl)Cc1ccc(C(F)(F)F)cc1']; [0.999975085]
-COC(=O)c1sccc1NC(=O)Cc1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N(C)C)cc1; ['CN(C)c1ccc(CC(=O)O)cc1']; ['COC(=O)c1sccc1N']; [0.999420285]
-CNS(=O)(=O)c1ccc(CC(=O)Nc2ccsc2C(=O)OC)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)CC1CCCCC1; ['COC(=O)c1sccc1N']; ['O=C(Cl)CC1CCCCC1']; [0.997739434]
-COC(=O)c1sccc1NC(=O)Cc1sc(C)nc1C; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cnc(Cl)nc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)C[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)CC1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(CC(=O)Nc2ccsc2C(=O)OC)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cncnc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cn1ccnc1; ['COC(=O)c1sccc1N']; ['O=C(O)Cn1ccnc1']; [0.999034166]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1c[nH]c2ccccc12; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1c[nH]c2ccccc12']; [0.999195278]
-COC(=O)c1sccc1NC(=O)Cc1ccc(Br)cc1; ['COC(=O)c1sccc1N']; ['O=C(Cl)Cc1ccc(Br)cc1']; [0.999960899]
-COC(=O)c1sccc1NC(=O)Cc1cc(Cl)ccc1OC; ['COC(=O)c1sccc1N']; ['COc1ccc(Cl)cc1CC(=O)O']; [0.999905229]
-COC(=O)c1sccc1NC(=O)Cc1cn[nH]c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc[nH]1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(C)ns1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(Cl)c(OC)cc1OC; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc2c(c1)CCO2; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1ccc2c(c1)CCO2']; [0.999989867]
-COC(=O)c1sccc1NC(=O)Cc1cc2ccccc2cn1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc(NC(C)=O)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)CC1CCN(C(=O)c2cccc(OC)c2)CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(O)c(OC)c1; ['COC(=O)c1sccc1N']; ['COc1cc(CC(=O)O)ccc1O']; [0.999781072]
-COC(=O)c1sccc1NC(=O)Cc1cccc2c1OCO2; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(F)c(F)c1; ['COC(=O)c1sccc1N']; ['O=C(Cl)Cc1ccc(F)c(F)c1']; [0.999998569]
-COC(=O)c1sccc1NC(=O)Cc1scc2c1OCCO2; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)C[C@H]1CC[C@H]([NH3+])CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccnc1Oc1ccccc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(C)(C)C)cc1; ['CC(C)(C)c1ccc(CC(=O)O)cc1']; ['COC(=O)c1sccc1N']; [0.999947667]
-COC(=O)c1sccc1NC(=O)Cc1cnc2ccccc2c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N2CCOCC2)cc1OC; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)C[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)CNC(=O)c1cccc(OC)c1; ['COC(=O)c1sccc1N']; ['COc1cccc(C(=O)NCC(=O)O)c1']; [0.999987841]
-COC(=O)c1sccc1NC(=O)Cc1ccco1; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1ccco1']; [0.99928838]
-COC(=O)c1sccc1NC(=O)Cc1cccc(SC)c1; ['COC(=O)c1sccc1N']; ['CSc1cccc(CC(=O)O)c1']; [0.999993682]
-CCN1CCN(Cc2ccc(CC(=O)Nc3ccsc3C(=O)OC)cc2)CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(C)nc(N)n1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(F)cc1Cl; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1ccc(F)cc1Cl']; [0.9998]
-COC(=O)c1sccc1NC(=O)CC1CCOCC1; ['COC(=O)c1sccc1N']; ['O=C(O)CC1CCOCC1']; [0.998536825]
-COC(=O)c1sccc1NC(=O)Cc1ncc(Br)cn1; ['CCOC(=O)Cc1ncc(Br)cn1']; ['COC(=O)c1sccc1N']; [0.997160316]
-COC(=O)c1sccc1NC(=O)C[C@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(Cl)cc1Cl; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1ccc(Cl)cc1Cl']; [0.998843431]
-COC(=O)c1sccc1NC(=O)Cc1ccc(OC)c(OC)c1; ['COC(=O)c1sccc1N']; ['COc1ccc(CC(=O)O)cc1OC']; [0.99953413]
-COC(=O)c1sccc1NC(=O)Cc1ccsc1; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1ccsc1']; [0.999471486]
-COC(=O)c1sccc1NC(=O)C[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc2ccccn2n1; [None]; [None]; [0]
-CCc1ccc(CC(=O)Nc2ccsc2C(=O)OC)cc1; ['CCOC(=O)Cc1ccc(CC)cc1']; ['COC(=O)c1sccc1N']; [0.99873668]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N2CCOCC2)c(OC)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(C)cc(C)c1; ['COC(=O)c1sccc1N']; ['Cc1cc(C)cc(CC(=O)O)c1']; [0.999446571]
-COC(=O)c1sccc1NC(=O)Cc1ncc2cccn2n1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc2ccc(OC)cc12; ['COC(=O)c1sccc1N']; ['COc1ccc2cccc(CC(=O)O)c2c1']; [0.999624729]
-COC(=O)c1sccc1NC(=O)Cc1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc2ccc(O)cc12; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(Cl)c(OC)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ncc(Cl)cn1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(OC)c(OC)cc1F; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc(-n2nccn2)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C)o1; [None]; [None]; [0]
-CCNC(=O)N1CCC(CC(=O)Nc2ccsc2C(=O)OC)CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ncnc2c(C)csc12; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)C[C@@H]1CC[C@@H](OC)CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(OC)cc(OC)c1; ['COC(=O)c1sccc1N']; ['COc1cc(CC(=O)O)cc(OC)c1']; [0.999716341]
-COC(=O)c1sccc1NC(=O)Cc1cc(OC)c(Br)cc1OC; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)C[C@@H]1CC[C@@H](NC(=O)NC(C)C)CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc2cn[nH]c2c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc2cc(OC)ccc2o1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(CC(=O)Nc2ccsc2C(=O)OC)c1; [None]; [None]; [0]
-CCn1cc(CC(=O)Nc2ccsc2C(=O)OC)cn1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc2ccccc2o1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1nc(C)nc2ccsc12; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(Br)cn1C; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cn(C)nc1C(C)C; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ncc2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(CC(=O)Nc2ccsc2C(=O)OC)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(OC(F)(F)F)cc1; ['COC(=O)c1sccc1N']; ['O=C(O)Cc1ccc(OC(F)(F)F)cc1']; [0.999992847]
-COC(=O)c1sccc1NC(=O)Cc1cscn1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cn(C)c2ccccc12; ['COC(=O)c1sccc1N']; ['Cn1cc(CC(=O)O)c2ccccc21']; [0.999831676]
-COC(=O)c1sccc1NC(=O)Cc1nc2ccc(OC)cc2[nH]1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc(N2CCC[C@@H]2C)n1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C)c(C)n1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(=O)[O-])c(Cl)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(C)c(OCCO)c(C)c1; [None]; [None]; [0]
-CCc1cccc(CC(=O)Nc2ccsc2C(=O)OC)n1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N(C)C)nc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc2c(cnn2C)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)CC1CCC(F)(F)CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)CC1CCS(=O)(=O)CC1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N2CCC(O)CC2)cc1OC; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(CCO)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(CC(=O)Nc2ccsc2C(=O)OC)c(OC)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N2CCNCC2)cc1OC; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(N2CCOCC2)cc1C; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(CC(=O)Nc2ccsc2C(=O)OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(CC(=O)Nc2ccsc2C(=O)OC)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C#N)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(C(=O)NCCO)ccc1C; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ncc2ccccc2n1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3c(C)csc3N)CC2)c1; [None]; [None]; [0]
-CCOc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
-COc1ncccc1-c1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1c[nH]nc1C; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnn(C)c1; [None]; [None]; [0]
-COc1cc(-c2c(C)csc2N)cc(OC)c1OC; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnnn1C; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(O)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnc2cccnn12; [None]; [None]; [0]
-Cc1csc(N)c1-c1cn(C)nc1C; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-COc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccccc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(NS(C)(=O)=O)nc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-Cc1csc(N)c1Nc1ncccn1; [None]; [None]; [0]
-Cc1csc(N)c1Cc1nccc2ccccc12; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-Cc1csc(N)c1CCCO; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(F)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(OCCO)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc(C)n(C)n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2c(C)csc2N)s1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(N(C)C)cc1; [None]; [None]; [0]
-Cc1csc(N)c1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1csc(N)c1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cncnc1; [None]; [None]; [0]
-Cc1csc(N)c1C1CCCCC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(Br)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnc(Cl)nc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cn[nH]c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1c(C)csc1N; [None]; [None]; [0]
-COc1cc(OC)c(-c2c(C)csc2N)cc1Cl; [None]; [None]; [0]
-Cc1csc(N)c1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc[nH]1; [None]; [None]; [0]
-Cc1cc(-c2c(C)csc2N)sn1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc2ccccc2cn1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-COc1cc(-c2c(C)csc2N)ccc1O; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2c(C)csc2N)c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3c(C)csc3N)CC2)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc2c1OCO2; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1CC[C@@H]([NH3+])CC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1scc2c1OCCO2; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(F)c(F)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnc2ccccc2c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2c(C)csc2N)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2c(C)csc2N)c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1c(C)csc1N; [None]; [None]; [0]
-COCCc1c(C)csc1N; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3c(C)csc3N)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2c(C)csc2N)nc(N)n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccco1; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-CC[C@@H](CO)c1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(F)cc1Cl; [None]; [None]; [0]
-CSc1cccc(-c2c(C)csc2N)c1; [None]; [None]; [0]
-CCc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
-Cc1csc(N)c1C1CCOCC1; [None]; [None]; [0]
-COc1ccc(-c2c(C)csc2N)cc1OC; [None]; [None]; [0]
-Cc1csc(N)c1-c1ncc(Br)cn1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ncc2cccn2n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccsc1; [None]; [None]; [0]
-COc1cc(-c2c(C)csc2N)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
-Cc1cc(C)cc(-c2c(C)csc2N)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc2ccccn2n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-COc1ccc2cccc(-c3c(C)csc3N)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2c(C)csc2N)cc1OC; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-COc1cc(-c2c(C)csc2N)ccc1Cl; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ncnc2c(C)csc12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2c(C)csc2N)CC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ncc(Cl)cn1; [None]; [None]; [0]
-COc1cc(-c2c(C)csc2N)c(OC)cc1Br; [None]; [None]; [0]
-Cc1ccc(-c2c(C)csc2N)o1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2c(C)csc2N)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3c(C)csc3N)cc2c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2c(C)csc2N)c1; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1CC[C@@H](NC(=O)NC(C)C)CC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2c(C)csc2N)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc2ccccc2o1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
-Cc1nc(-c2c(C)csc2N)c2sccc2n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ncc2sccc2n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cn(C)nc1C(C)C; [None]; [None]; [0]
-Cc1csc(N)c1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3c(C)csc3N)[nH]c2c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(=O)[O-])c(Cl)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cscn1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(N2CCC[C@@H]2C)n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cn(C)c2ccccc12; [None]; [None]; [0]
-Cc1ccc(-c2c(C)csc2N)nc1C; [None]; [None]; [0]
-CCc1cccc(-c2c(C)csc2N)n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(N(C)C)nc1; [None]; [None]; [0]
-Cc1cc(-c2c(C)csc2N)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
-Cc1csc(N)c1C1CCS(=O)(=O)CC1; [None]; [None]; [0]
-Cc1csc(N)c1C1CCC(F)(F)CC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(CCO)cc1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1c(C)csc1N; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1c(C)csc1N; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c(C)csc2N)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
-Cc1csc(N)c1[C@H](C)CS(C)(=O)=O; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2c(C)csc2N)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1c(C)csc1N; [None]; [None]; [0]
-CCOc1ccccc1-c1c(C)csc1N; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-COC(C)(C)CCc1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccccc1S(=O)(=O)C(C)C; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2c(C)csc2N)[nH]1; [None]; [None]; [0]
-Cc1csc(N)c1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccnc2ccccc12; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccccc1P(C)(C)=O; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-Cc1cccc(-c2c(C)csc2N)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc[nH]n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccccc1F; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccnc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccccc1C#N; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccccc1Br; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccccc1Cl; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccccc1OC(F)(F)F; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccccc1C(N)=O; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1c(F)cccc1F; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H](N)c1ccco1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccncn1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnn(CCO)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
-COc1cnc(-c2c(C)csc2N)nc1; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1CC[C@@H](CO)OC1; [None]; [None]; [0]
-Cc1csc(N)c1CC1CCCCC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc2c(c1)CCC2; [None]; [None]; [0]
-Cc1ccc(-c2c(C)csc2N)c(Br)c1; [None]; [None]; [0]
-Cc1csc(N)c1OCC(=O)C(C)C; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnco1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnc2ccccn12; [None]; [None]; [0]
-Cc1csc(N)c1-c1c(C)nc2ccccn12; [None]; [None]; [0]
-CNc1nc(C)c(-c2c(C)csc2N)s1; [None]; [None]; [0]
-Cc1csc(N)c1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
-Cc1csc(N)c1-c1sc(N)nc1C; [None]; [None]; [0]
-Cc1csc(N)c1NC(C)(C)C; [None]; [None]; [0]
-Cc1csc(N)c1OC1CCCCC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2c(C)csc2N)c1; [None]; [None]; [0]
-Cc1csc(N)c1NCc1cccnc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(Cl)c1Cl; [None]; [None]; [0]
-Cc1ncc(-c2c(C)csc2N)[nH]1; [None]; [None]; [0]
-CCC(C)(C)c1c(C)csc1N; [None]; [None]; [0]
-COc1cccc(-c2c(C)csc2N)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccnc(N)n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(Cl)s1; [None]; [None]; [0]
-Cc1csc(N)c1Nc1cccnc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc2ccccc2c1; [None]; [None]; [0]
-Cc1csc(N)c1-n1cnc2ccccc21; [None]; [None]; [0]
-Cc1csc(N)c1NCCc1c[nH]cn1; [None]; [None]; [0]
-Cc1csc(N)c1N[C@H](C)CO; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1NC(=O)c1cccs1; [None]; [None]; [0]
-Cc1csc(N)c1OCC(C)C; [None]; [None]; [0]
-CCCCc1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(-c2cnn(C)c2)cc1; [None]; [None]; [0]
-Cc1csc(N)c1O[C@H](C)[C@@H](C)O; [None]; [None]; [0]
-Cc1csc(N)c1NCCc1ccccc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cncc2ccccc12; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
-CCCn1cnc(-c2c(C)csc2N)n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
-Cc1csc(N)c1CCC[NH3+]; [None]; [None]; [0]
-Cc1csc(N)c1O[C@@H](C)C[NH+](C)C; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1CCC[C@H]([NH3+])C1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cncn1C; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(CO)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccs1; [None]; [None]; [0]
-CSc1nc(-c2c(C)csc2N)c[nH]1; [None]; [None]; [0]
-Cc1csc(N)c1Nc1ccncc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1csc2ncncc12; [None]; [None]; [0]
-Cc1csc(N)c1NC(C)C; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(CCC#N)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnoc1C(C)C; [None]; [None]; [0]
-CCNc1nc2ccc(-c3c(C)csc3N)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
-Cc1csc(N)c1OC(F)(F)F; [None]; [None]; [0]
-Cc1csc(N)c1N1CCC(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CCC(=O)Nc1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H](C)C(F)(F)F; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnn2ccccc12; [None]; [None]; [0]
-COc1ccc(-c2c(C)csc2N)cc1Cl; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnoc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc[nH]c(=O)c1; [None]; [None]; [0]
-Cc1cc(-c2c(C)csc2N)no1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc2c1C(=O)CC2; [None]; [None]; [0]
-CCCn1cc(-c2c(C)csc2N)cn1; [None]; [None]; [0]
-COc1cc(CCc2c(C)csc2N)cc(OC)c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccn([C@@H2]CO)c(=O)c1; [None]; [None]; [0]
-Cc1csc(N)c1NC(=O)NC(C)(C)C; [None]; [None]; [0]
-CCOC(=O)Cc1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc([S@](C)=O)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(Cl)c(C(=O)[O-])c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
-CCN(CC)c1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1Nc1cnc2ccccc2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1c(C)csc1N; [None]; [None]; [0]
-COc1ccncc1Nc1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-Cc1csc(N)c1-c1c[nH]c2cnccc12; [None]; [None]; [0]
-Cc1csc(N)c1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1CC[C@@H](NC(=O)O)C1; [None]; [None]; [0]
-Cc1csc(N)c1C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1CC[C@@H](C#N)CC1; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1CCCN(C(=O)CC#N)C1; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1CC[C@@H](CCC#N)CC1; [None]; [None]; [0]
-Cc1csc(N)c1[C@@H]1CC[C@@H](CC#N)CC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(S(=O)(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
-Cc1csc(N)c1[C@H]1COCC[C@@H]1C#N; [None]; [None]; [0]
-Cc1cc(-c2c(C)csc2N)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-n1cnc(CCO)c1; [None]; [None]; [0]
-Cc1csc(N)c1N[C@@H](C)C(C)(C)O; [None]; [None]; [0]
-Cc1csc(N)c1-n1ccc(CO)n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(F)c1C(N)=O; [None]; [None]; [0]
-Cc1csc(N)c1N[C@@H](C)C(C)(C)C; [None]; [None]; [0]
-Cc1csc(N)c1-n1ncc2c(O)cccc21; [None]; [None]; [0]
-Cc1csc(N)c1N[C@H](C)C(C)(C)O; [None]; [None]; [0]
-Cc1csc(N)c1-n1ncc2ccccc21; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccnc1O; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-CSc1nc(C)c(-c2c(C)csc2N)[nH]1; [None]; [None]; [0]
-Cc1csc(N)c1-c1nc[nH]n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1[nH]cnc1C; [None]; [None]; [0]
-COc1ccc(-c2c(C)csc2N)c(OC)c1; [None]; [None]; [0]
-Cc1csc(N)c1NCC(C)(C)[NH3+]; [None]; [None]; [0]
-Cc1csc(N)c1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-Cc1csc(N)c1Cc1ccncc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
-Cc1csc(N)c1-c1nncn1C(C)C; [None]; [None]; [0]
-Cc1csc(N)c1-c1nncn1C; [None]; [None]; [0]
-Cc1csc(N)c1-c1nncn1C1CC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1nncn1[C@H](C)CO; [None]; [None]; [0]
-Cc1csc(N)c1OC1CCOCC1; [None]; [None]; [0]
-Cc1csc(N)c1-n1ccnc1; [None]; [None]; [0]
-Cc1csc(N)c1CCC(=O)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-c2c(C)csc2N)nc(N)n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-Cc1csc(N)c1N[C@H](C)C(C)(C)C; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnc(N)s1; [None]; [None]; [0]
-CCCCc1cc(-c2c(C)csc2N)nc(N)n1; [None]; [None]; [0]
-Cc1cncc(-c2c(C)csc2N)n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1nnc(N)s1; [None]; [None]; [0]
-Cc1csc(N)c1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c(C)csc2N)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1[C@H]1CCCN1C(N)=O; [None]; [None]; [0]
-Cc1csc(N)c1CC1CCOCC1; [None]; [None]; [0]
-Cc1csc(N)c1-c1nc2ccccc2s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2c(C)csc2N)[nH]1; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc2ccsc12; [None]; [None]; [0]
-Cc1csc(N)c1-c1cn(C)n(C)c1=O; [None]; [None]; [0]
-Cc1csc(N)c1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
-Cc1csc(N)c1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1c(C)csc1N; [None]; [None]; [0]
-Cc1csc(N)c1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-Cc1csc(N)c1Cc1cccnc1; [None]; [None]; [0]
-Cc1csc(N)c1O[C@@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-Cc1csc(N)c1OC(C)(C)C; [None]; [None]; [0]
-Cc1csc(N)c1Cc1ccccc1NS(C)(=O)=O; [None]; [None]; [0]
-Cc1csc(N)c1[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
-Cc1csc(N)c1NCC(C)(C)C; [None]; [None]; [0]
-Cc1csc(N)c1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2c(C)csc2N)c1; [None]; [None]; [0]
-Cc1csc(N)c1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-Cc1csc(N)c1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccccc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(F)cc1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccccc1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cn[nH]c1Cl; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1c(C)ccc2[nH]ncc12; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cc4c(O)ccnc4cc3OC)ccc12; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1nnc(C)o1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1nnco1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1C1CCOCC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ncc(F)cn1; [None]; [None]; [0]
-CNc1nccc(-c2cc3c(O)ccnc3cc2OC)n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(Br)o1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1nncs1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc([O-])c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(N)[nH]n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(=O)NC2CC2)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1[nH]nc(C)c1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1c(-c2ccccc2)noc1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(N(C)C(C)=O)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(N)=O)c(C)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-n1cnc2ccc(C)cc21; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-n1ncc2ccccc2c1=O; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc4c(O)ccnc4cc3OC)CC2)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(NS(C)(=O)=O)nc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(CNC(C)=O)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cc1ccccc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1C1CCCCC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cc1cnc(N)nc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cc1cncnc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc3c(O)ccnc3cc2OC)cc1Cl; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(C)ns1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc4c(O)ccnc4cc3OC)CC2)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1[C@@H]1CC[C@@H]([NH3+])CC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1NC(=O)NC(C)(C)C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc4c(O)ccnc4cc3OC)cc2)CC1; [None]; [None]; [0]
-CC[NH+](CC)c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1CCCn1cncn1; [None]; [None]; [0]
-CCCCCc1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(N2CCOCC2)c(OC)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc2ccccn2n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ncc2cccn2n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ncc(Cl)cn1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ncnc2c(C)csc12; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cc1ccc(C(N)=O)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1NC(=O)c1ccco1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1[C@@H]1CC[C@@H](OC)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc3c(O)ccnc3cc2OC)CC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1[C@@H]1CC[C@@H](NC(=O)NC(C)C)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc4c(O)ccnc4cc3OC)cc2c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1NC(=O)c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(Br)cn1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ncc2sccc2n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1nc(C)nc2ccsc12; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cn(C)nc1C(C)C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1OC(F)(F)F; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc4c(O)ccnc4cc3OC)[nH]c2c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(=O)[O-])c(Cl)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cccc(N2CCC[C@@H]2C)n1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(C)c(OCCO)c(C)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(N(C)C)nc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1C1CCC(F)(F)CC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1C1CCS(=O)(=O)CC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1CCC[NH+](C)C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1CC1CCOCC1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc(N2CCOCC2)cc1C; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1cc(C(=O)NCCO)ccc1C; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1OCCC[NH+](C)C; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cc3nccn3cn2)C1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc3nccn3cn2)[nH]1; [None]; [None]; [0]
-c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-COC(C)(C)CCc1cc2nccn2cn1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc2nccn2cn1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cc3nccn3cn2)c1; [None]; [None]; [0]
-c1ccc2c(-c3cc4nccn4cn3)ccnc2c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-c1cn2cnc(C3CCOCC3)cc2n1; [None]; [None]; [0]
-c1cncc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-Fc1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1cn2cnc(-c3cc[nH]n3)cc2n1; [None]; [None]; [0]
-Clc1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-Cc1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cc4nccn4cn3)cn2)cc1; [None]; [None]; [0]
-Brc1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1cc(-c2cc3nccn3cn2)ncn1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cc4nccn4cn3)[nH]2)cc1; [None]; [None]; [0]
-OCCn1cc(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cc2nccn2cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc3nccn3cn2)cs1; [None]; [None]; [0]
-c1cn2cnc(C3CCCCC3)cc2n1; [None]; [None]; [0]
-N[C@H](c1cc2nccn2cn1)c1ccco1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cc3nccn3cn2)CO1; [None]; [None]; [0]
-COc1cnc(-c2cc3nccn3cn2)nc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3nccn3cn2)c1)c1ccccc1; [None]; [None]; [0]
-c1cn2cnc(CC3CCCCC3)cc2n1; [None]; [None]; [0]
-c1cn2cnc(-c3ccc4c(c3)CCC4)cc2n1; [None]; [None]; [0]
-Cc1ccc(-c2cc3nccn3cn2)c(Br)c1; [None]; [None]; [0]
-c1ccn2c(-c3cc4nccn4cn3)cnc2c1; [None]; [None]; [0]
-c1cn2cnc(-c3cnco3)cc2n1; [None]; [None]; [0]
-CC(C)C(=O)COc1cc2nccn2cn1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc3nccn3cn2)s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc2nccn2cn1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1cnn2c(-c3cc4nccn4cn3)cnc2c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc3nccn3cn2)s1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-CC(C)(C)Nc1cc2nccn2cn1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cc2nccn2cn1; [None]; [None]; [0]
-Clc1cccc(-c2cc3nccn3cn2)c1Cl; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-c1cn2cnc(OC3CCCCC3)cc2n1; [None]; [None]; [0]
-c1cncc(CNc2cc3nccn3cn2)c1; [None]; [None]; [0]
-Cc1ncc(-c2cc3nccn3cn2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2cc3nccn3cn2)n1; [None]; [None]; [0]
-CCC(C)(C)c1cc2nccn2cn1; [None]; [None]; [0]
-c1ccc2cc(-c3cc4nccn4cn3)ccc2c1; [None]; [None]; [0]
-COc1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-Clc1ccc(-c2cc3nccn3cn2)s1; [None]; [None]; [0]
-C[C@H](CO)Nc1cc2nccn2cn1; [None]; [None]; [0]
-c1cncc(Nc2cc3nccn3cn2)c1; [None]; [None]; [0]
-c1ccc2c(c1)ncn2-c1cc2nccn2cn1; [None]; [None]; [0]
-c1cn2cnc(NCCc3c[nH]cn3)cc2n1; [None]; [None]; [0]
-CC(C)COc1cc2nccn2cn1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cc2nccn2cn1; [None]; [None]; [0]
-O=C(Nc1cc2nccn2cn1)c1cccs1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cc2nccn2cn1; [None]; [None]; [0]
-CCCCc1cc2nccn2cn1; [None]; [None]; [0]
-c1ccc2c(-c3cc4nccn4cn3)cncc2c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cc4nccn4cn3)cc2)cn1; [None]; [None]; [0]
-c1ccc(CCNc2cc3nccn3cn2)cc1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cc4nccn4cn3)ccc12; [None]; [None]; [0]
-CCCn1cnc(-c2cc3nccn3cn2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cc2nccn2cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4nccn4cn3)ccc21; [None]; [None]; [0]
-Oc1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-[NH3+]CCCc1cc2nccn2cn1; [None]; [None]; [0]
-OCc1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-Cn1cncc1-c1cc2nccn2cn1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cc3nccn3cn2)C1; [None]; [None]; [0]
-c1coc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-c1cc(Nc2cc3nccn3cn2)ccn1; [None]; [None]; [0]
-c1csc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc2nccn2cn1; [None]; [None]; [0]
-Cn1cc(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-CSc1nc(-c2cc3nccn3cn2)c[nH]1; [None]; [None]; [0]
-CC(C)Nc1cc2nccn2cn1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-c1ncc2c(-c3cc4nccn4cn3)csc2n1; [None]; [None]; [0]
-Fc1ccc(-c2cc3nccn3cn2)c(C(F)(F)F)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc4nccn4cn3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1cc2nccn2cn1; [None]; [None]; [0]
-Cn1cc(-c2cc3nccn3cn2)c2ccccc21; [None]; [None]; [0]
-CCC(=O)Nc1cc2nccn2cn1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-C[C@H](c1cc2nccn2cn1)C(F)(F)F; [None]; [None]; [0]
-Cc1cc(-c2cc3nccn3cn2)no1; [None]; [None]; [0]
-c1ccn2ncc(-c3cc4nccn4cn3)c2c1; [None]; [None]; [0]
-COc1ccc(-c2cc3nccn3cn2)cc1Cl; [None]; [None]; [0]
-CCCn1cc(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-O=c1cc(-c2cc3nccn3cn2)cc[nH]1; [None]; [None]; [0]
-c1cn2cnc(-c3cnoc3)cc2n1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cc4nccn4cn3)c21; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc2nccn2cn1; [None]; [None]; [0]
-O=c1cc(-c2cc3nccn3cn2)ccn1[C@@H2]CO; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1cc2nccn2cn1; [None]; [None]; [0]
-COc1cc(CCc2cc3nccn3cn2)cc(OC)c1; [None]; [None]; [0]
-CCN(CC)c1cc2nccn2cn1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cc3nccn3cn2)ccc1Cl; [None]; [None]; [0]
-c1ccc2c(-c3cc4nccn4cn3)c[nH]c2c1; [None]; [None]; [0]
-COc1ccncc1Nc1cc2nccn2cn1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cc4nccn4cn3)cc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1cc2c(-c3cc4nccn4cn3)c[nH]c2cn1; [None]; [None]; [0]
-c1ccc2ncc(Nc3cc4nccn4cn3)cc2c1; [None]; [None]; [0]
-c1cn2cnc(-c3cnc4[nH]ccc4c3)cc2n1; [None]; [None]; [0]
-CC1(c2cc3nccn3cn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cc2nccn2cn1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cc3nccn3cn2)C1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cc3nccn3cn2)C1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cc2nccn2cn1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-c1cn2cnc(-c3ccc(N4CCOCC4)cc3)cc2n1; [None]; [None]; [0]
-OCc1ccn(-c2cc3nccn3cn2)n1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc3nccn3cn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1cc2nccn2cn1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cc2nccn2cn1)C(C)(C)C; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-OCCc1cn(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1cc2nccn2cn1; [None]; [None]; [0]
-C[C@@H](Nc1cc2nccn2cn1)C(C)(C)O; [None]; [None]; [0]
-c1cn2cnc(-c3nc[nH]n3)cc2n1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cc2nccn2cn1; [None]; [None]; [0]
-Oc1ncccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cc4nccn4cn3)[nH]c2c1; [None]; [None]; [0]
-c1cn2cnc(-c3ccc(-n4cncn4)cc3)cc2n1; [None]; [None]; [0]
-c1cc(Cc2cc3nccn3cn2)ccn1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc3nccn3cn2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cc2nccn2cn1; [None]; [None]; [0]
-COc1ccc(-c2cc3nccn3cn2)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc2nccn2cn1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cc2nccn2cn1; [None]; [None]; [0]
-c1cn2cnc(-c3nncn3C3CC3)cc2n1; [None]; [None]; [0]
-Cn1cnnc1-c1cc2nccn2cn1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1cn(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-c1cn2cnc(OC3CCOCC3)cc2n1; [None]; [None]; [0]
-O=C(CCc1cc2nccn2cn1)NCc1ccccn1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cc4nccn4cn3)nn2)cc1; [None]; [None]; [0]
-CCc1cc(-c2cc3nccn3cn2)nc(N)n1; [None]; [None]; [0]
-C[C@@H](Nc1cc2nccn2cn1)C(C)(C)C; [None]; [None]; [0]
-Nc1ncc(-c2cc3nccn3cn2)s1; [None]; [None]; [0]
-Nc1nnc(-c2cc3nccn3cn2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2cc3nccn3cn2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3nccn3cn2)s1; [None]; [None]; [0]
-c1cn2cnc(-c3csc(N4CCOCC4)n3)cc2n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2nccn2cn1; [None]; [None]; [0]
-Cc1cncc(-c2cc3nccn3cn2)n1; [None]; [None]; [0]
-c1ccc2sc(-c3cc4nccn4cn3)nc2c1; [None]; [None]; [0]
-c1cc(-c2cc3nccn3cn2)c2sccc2c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cc2nccn2cn1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc3nccn3cn2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cc3nccn3cn2)c(=O)n1C; [None]; [None]; [0]
-c1cn2cnc(CC3CCOCC3)cc2n1; [None]; [None]; [0]
-c1ccc2nc(-c3cc4nccn4cn3)ncc2c1; [None]; [None]; [0]
-Nc1nc(-c2cc3nccn3cn2)nc2ccccc12; [None]; [None]; [0]
-c1cn2cnc(-c3ncc4cc[nH]c4n3)cc2n1; [None]; [None]; [0]
-c1cnc2c(-c3cc4nccn4cn3)c[nH]c2c1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-c1cncc(Cc2cc3nccn3cn2)c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cc3nccn3cn2)CC1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc2nccn2cn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc2nccn2cn1; [None]; [None]; [0]
-CC(C)(C)CNc1cc2nccn2cn1; [None]; [None]; [0]
-CC(C)(C)Oc1cc2nccn2cn1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(c4cc5nccn5cn4)CC3)nc2c1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cc3nccn3cn2)C1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc3nccn3cn2)cnn1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cc2nccn2cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cc4nccn4cn3)CC2)c1; [None]; [None]; [0]
-Cn1nncc1-c1cc2nccn2cn1; [None]; [None]; [0]
-COc1ncccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-COc1cc(-c2cc3nccn3cn2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cc4nccn4cn3)c2c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cc2nccn2cn1; [None]; [None]; [0]
-COc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3cc4nccn4cn3)nc2c1; [None]; [None]; [0]
-Cc1cc(Nc2cc3nccn3cn2)sn1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3nccn3cn2)c1)C1CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1cnc(Nc2cc3nccn3cn2)nc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-Fc1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-O=C(Nc1cc2nccn2cn1)C1CC1; [None]; [None]; [0]
-Clc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-c1ccc2c(Cc3cc4nccn4cn3)nccc2c1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-OCCOc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-c1cc(-c2cc3nccn3cn2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-O=C(c1ccc(-c2cc3nccn3cn2)cc1)N1CCOCC1; [None]; [None]; [0]
-c1cc(Nc2cc3nccn3cn2)ncn1; [None]; [None]; [0]
-O=C(c1ccc(-c2cc3nccn3cn2)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc3nccn3cn2)nn1C; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-c1ccc(Cc2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cc2nccn2cn1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cc2nccn2cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-c1ncc(Cc2cc3nccn3cn2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cc3nccn3cn2)C1; [None]; [None]; [0]
-Nc1ncc(Cc2cc3nccn3cn2)cn1; [None]; [None]; [0]
-Clc1ncc(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-OC[C@@H](O)Cc1cc2nccn2cn1; [None]; [None]; [0]
-c1ncc(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-Brc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3nccn3cn2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cc3nccn3cn2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1cn2cnc(-c3cn[nH]c3)cc2n1; [None]; [None]; [0]
-c1c[nH]c(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc3nccn3cn2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cc3nccn3cn2)sn1; [None]; [None]; [0]
-c1cn2cnc(-c3ccc4c(c3)CCO4)cc2n1; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(-c2cc3nccn3cn2)n1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cc4nccn4cn3)n[nH]2)cc1; [None]; [None]; [0]
-c1cn(Cc2cc3nccn3cn2)cn1; [None]; [None]; [0]
-c1ccc2cc(-c3cc4nccn4cn3)ncc2c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cc4nccn4cn3)CC2)c1; [None]; [None]; [0]
-COc1cc(-c2cc3nccn3cn2)ccc1O; [None]; [None]; [0]
-c1cc2c(c(-c3cc4nccn4cn3)c1)OCO2; [None]; [None]; [0]
-c1cn2cnc(-c3scc4c3OCCO4)cc2n1; [None]; [None]; [0]
-Fc1ccc(-c2cc3nccn3cn2)cc1F; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-c1ccc2ncc(-c3cc4nccn4cn3)cc2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-COCCOc1cc2nccn2cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc3nccn3cn2)c1; [None]; [None]; [0]
-CC1(COc2cc3nccn3cn2)COC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc4nccn4cn3)cc2)CC1; [None]; [None]; [0]
-CSc1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-Cc1cc(-c2cc3nccn3cn2)nc(N)n1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-Fc1ccc(-c2cc3nccn3cn2)c(Cl)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2cc3nccn3cn2)C1; [None]; [None]; [0]
-COc1ccc(-c2cc3nccn3cn2)cc1OC; [None]; [None]; [0]
-CCCCCc1cc2nccn2cn1; [None]; [None]; [0]
-Brc1cnc(-c2cc3nccn3cn2)nc1; [None]; [None]; [0]
-CCc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CC[NH+](CC)c1cc2nccn2cn1; [None]; [None]; [0]
-Clc1ccc(-c2cc3nccn3cn2)c(Cl)c1; [None]; [None]; [0]
-c1cn2cnc(-c3ccsc3)cc2n1; [None]; [None]; [0]
-COc1ccc(CNc2cc3nccn3cn2)cc1; [None]; [None]; [0]
-c1cc2cnc(-c3cc4nccn4cn3)nn2c1; [None]; [None]; [0]
-COc1cc(-c2cc3nccn3cn2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1cn2cnc(CCCn3cncn3)cc2n1; [None]; [None]; [0]
-Cn1cc(-c2cc3nccn3cn2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc4nccn4cn3)ccc2O1; [None]; [None]; [0]
-c1ccn2nc(-c3cc4nccn4cn3)cc2c1; [None]; [None]; [0]
-Oc1ccc2cccc(-c3cc4nccn4cn3)c2c1; [None]; [None]; [0]
-c1cn2cnc(-c3ccc(N4CCCCC4)cc3)cc2n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc4nccn4cn3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc3nccn3cn2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cc3nccn3cn2)ccc1Cl; [None]; [None]; [0]
-Cc1csc2c(-c3cc4nccn4cn3)ncnc12; [None]; [None]; [0]
-Clc1cnc(-c2cc3nccn3cn2)nc1; [None]; [None]; [0]
-Cc1cc(Nc2cc3nccn3cn2)nn1C; [None]; [None]; [0]
-Cc1nc(Nc2cc3nccn3cn2)sc1C; [None]; [None]; [0]
-Cc1ccc(-c2cc3nccn3cn2)o1; [None]; [None]; [0]
-c1cc(-c2cc3nccn3cn2)cc(-n2nccn2)c1; [None]; [None]; [0]
-COc1cc(-c2cc3nccn3cn2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc3nccn3cn2)c1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cc3nccn3cn2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-O=C(Nc1cc2nccn2cn1)c1ccco1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cc4nccn4cn3)c1)OCOC2; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-c1cn2cnc(-c3ccc4cn[nH]c4c3)cc2n1; [None]; [None]; [0]
-COc1ccc2oc(-c3cc4nccn4cn3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cc3nccn3cn2)cc1; [None]; [None]; [0]
-CC(C)Oc1cc2nccn2cn1; [None]; [None]; [0]
-CCn1cc(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cc4nccn4cn3)c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1ccc2oc(-c3cc4nccn4cn3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-Cc1nc(-c2cc3nccn3cn2)c2sccc2n1; [None]; [None]; [0]
-COC(=O)Nc1cc2nccn2cn1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc2nccn2cn1; [None]; [None]; [0]
-c1cn2cnc(-c3ncc4sccc4n3)cc2n1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cc4nccn4cn3)ncc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3nccn3cn2)c1)N1CCCC1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-c1cn2cnc(-c3cscn3)cc2n1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc4nccn4cn3)[nH]c2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3nccn3cn2)cc1Cl; [None]; [None]; [0]
-CCc1cccc(-c2cc3nccn3cn2)n1; [None]; [None]; [0]
-Cc1cc(-c2cc3nccn3cn2)cc(C)c1OCCO; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cc3nccn3cn2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cc3nccn3cn2)nc1C; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc4nccn4cn3)ccc12; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-FC1(F)CCC(c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3nccn3cn2)cn1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cc3nccn3cn2)CC1; [None]; [None]; [0]
-C[NH+](C)CCCc1cc2nccn2cn1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3nccn3cn2)c(Cl)c1; [None]; [None]; [0]
-OCCc1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3nccn3cn2)c(OC)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc2nccn2cn1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc3nccn3cn2)cc1; [None]; [None]; [0]
-Fc1ccc(Nc2cc3nccn3cn2)nc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cc2nccn2cn1; [None]; [None]; [0]
-c1ccc(Nc2cc3nccn3cn2)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-c1ccc(-c2cnc3[nH]cccc2-3)cc1; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1ccccc1']; [0.98530376]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc3nccn3cn2)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cnc3[nH]cccc2-3)[nH]1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc2nccn2cn1; [None]; [None]; [0]
-COC(C)(C)CCc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1c[nH]c2ncc(C3CCOCC3)c-2c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-Cc1cccc(-c2cnc3[nH]cccc2-3)c1; ['Brc1cnc2[nH]cccc1-2']; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; [0.999952912]
-O=C([O-])c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1c[nH]c2ncc(C3CCCCC3)c-2c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cnc3[nH]cccc2-3)cs1; [None]; [None]; [0]
-COc1cnc(-c2cnc3[nH]cccc2-3)nc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cnc3[nH]cccc2-3)CO1; [None]; [None]; [0]
-c1c[nH]c2ncc(CC3CCCCC3)c-2c1; [None]; [None]; [0]
-CC(C)C(=O)COc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-CNc1nc(C)c(-c2cnc3[nH]cccc2-3)s1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
-CCC(C)(C)c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1c[nH]c2ncc(NCCc3c[nH]cn3)c-2c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
-CCCCc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cnc4[nH]cccc3-4)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc4[nH]cccc3-4)ccc21; ['Brc1cnc2[nH]cccc1-2']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999996424]
-c1ccc(CCNc2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
-CCCn1cnc(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cnc4[nH]cccc3-4)ccc12; [None]; [None]; [0]
-[NH3+]CCCc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cnc3[nH]cccc2-3)C1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-CC(C)c1oncc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-FC(F)(F)Oc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3csc4ncncc34)c-2c1; [None]; [None]; [0]
-CSc1nc(-c2cnc3[nH]cccc2-3)c[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]cccc2-3)c2ccccc21; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cnc4[nH]cccc3-4)cc2s1; [None]; [None]; [0]
-C[C@H](c1cnc2[nH]cccc1-2)C(F)(F)F; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3cnn4ccccc34)c-2c1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cnc3[nH]cccc2-3)CC1; ['Brc1cnc2[nH]cccc1-2']; ['CS(=O)(=O)C1CCNCC1']; [0.90055573]
-O=c1cc(-c2cnc3[nH]cccc2-3)ccn1[C@@H2]CO; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-O=c1cc(-c2cnc3[nH]cccc2-3)cc[nH]1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cnc3[nH]cccc2-3)ccc1Cl; [None]; [None]; [0]
-CC1(c2cnc3[nH]cccc2-3)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-COc1cc(CCc2cnc3[nH]cccc2-3)cc(OC)c1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3cnc4[nH]ccc4c3)c-2c1; ['Brc1cnc2[nH]cccc1-2']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; [0.999990702]
-O=C(O)N[C@@H]1CC[C@@H](c2cnc3[nH]cccc2-3)C1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3ccc(N4CCOCC4)cc3)c-2c1; ['Brc1cnc2[nH]cccc1-2']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999958158]
-N#CCC[C@@H]1CC[C@@H](c2cnc3[nH]cccc2-3)CC1; [None]; [None]; [0]
-OCCc1cn(-c2cnc3[nH]cccc2-3)cn1; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]cccc2-3)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
-C[C@H](Nc1cnc2[nH]cccc1-2)C(C)(C)C; [None]; [None]; [0]
-C[C@@H](Nc1cnc2[nH]cccc1-2)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cnc2[nH]cccc1-2)C(C)(C)O; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3nc[nH]n3)c-2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cnc3[nH]cccc2-3)[nH]1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3ccc(-n4cncn4)cc3)c-2c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3nncn3C3CC3)c-2c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-Cn1cnnc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cnc4[nH]cccc3-4)nn2)cc1; [None]; [None]; [0]
-C[C@@H](Nc1cnc2[nH]cccc1-2)C(C)(C)C; [None]; [None]; [0]
-O=C(CCc1cnc2[nH]cccc1-2)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-c2cnc3[nH]cccc2-3)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2cnc3[nH]cccc2-3)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3[nH]cccc2-3)s1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3csc(N4CCOCC4)n3)c-2c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1c[nH]c2ncc(CC3CCOCC3)c-2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cnc3[nH]cccc2-3)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]cccc2-3)c(=O)n1C; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3ncc4ccccc4n3)c-2c1; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3cnccc3N3CCOCC3)c-2c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cnc3[nH]cccc2-3)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cnc2[nH]cccc1-2; [None]; [None]; [0]
-c1c[nH]c2ncc(-c3ncc4cc[nH]c4n3)c-2c1; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3)ccnc2[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3S(=O)(=O)C(C)C)ccnc2[nH]1; [None]; [None]; [0]
-CN(C)c1cc(-c2cnc3[nH]cccc2-3)cnn1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(C3CCOCC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3-c3nnc(C)[nH]3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cccc(-c2ccnc3[nH]c(C)cc23)c1; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3P(C)(C)=O)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3csc(C(C)(C)C)n3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(C3CCCCC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccccc3C(=O)[O-])ccnc2[nH]1; [None]; [None]; [0]
-COc1cnc(-c2ccnc3[nH]c(C)cc23)nc1; [None]; [None]; [0]
-Cc1cc2c(-c3c(C)nc4ccccn34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(CC3CCCCC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@@H]3CC[C@@H](CO)OC3)ccnc2[nH]1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccnc3[nH]c(C)cc23)s1; [None]; [None]; [0]
-CCC(C)(C)c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(OCC(=O)C(C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(NCCc3c[nH]cn3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc(CC(=O)[O-])c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc(Cn4cncn4)c3)ccnc2[nH]1; [None]; [None]; [0]
-CCCCc1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(-c3ccc(-c4cnn(C)c4)cc3)ccnc2[nH]1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(-c3ccc4c(N)[nH]nc4c3)ccnc2[nH]1; [None]; [None]; [0]
-CCCn1cnc(-c2ccnc3[nH]c(C)cc23)n1; [None]; [None]; [0]
-Cc1cc2c(NCCc3ccccc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(O[C@@H](C)C[NH+](C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc4c(cnn4C)c3)ccnc2[nH]1; [None]; [None]; [0]
-CSc1nc(-c2ccnc3[nH]c(C)cc23)c[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@@H]3CCC[C@H]([NH3+])C3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(CCC[NH3+])ccnc2[nH]1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccnc4[nH]c(C)cc34)cc2s1; [None]; [None]; [0]
-Cc1cc2c(-c3csc4ncncc34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cn(C)c4ccccc34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(N3CCC(S(C)(=O)=O)CC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnoc3C(C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cc[nH]c(=O)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(OC(F)(F)F)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnn4ccccc34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@@H](C)C(F)(F)F)ccnc2[nH]1; [None]; [None]; [0]
-COc1cc(CCc2ccnc3[nH]c(C)cc23)cc(OC)c1; [None]; [None]; [0]
-Cc1cc2c(NC(=O)NC(C)(C)C)ccnc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
-Cc1cc2c(-c3ccn([C@@H2]CO)c(=O)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnc4[nH]ccc4c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc(Cl)c(C(=O)[O-])c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@@H]3CC[C@@H](NC(=O)O)C3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@@H]3CC[C@@H](CCC#N)CC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(C3(C)CCN(S(C)(=O)=O)CC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc(-c2ccnc3[nH]c(C)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Cc1cc2c(-n3ccc(CO)n3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc(N4CCOCC4)cc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(N[C@@H](C)C(C)(C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(N[C@@H](C)C(C)(C)O)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-n3cnc(CCO)c3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3nc[nH]n3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ccc(-n4cncn4)cc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3[nH]cnc3C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(N[C@H](C)C(C)(C)O)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(NCC(C)(C)[NH3+])ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3nncn3C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3nncn3[C@H](C)CO)ccnc2[nH]1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccnc3[nH]c(C)cc23)[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3nncn3C(C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(CCC(=O)NCc3ccccn3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(N[C@H](C)C(C)(C)C)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3nncn3C3CC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cn(Cc4ccccc4)nn3)ccnc2[nH]1; [None]; [None]; [0]
-CCc1cc(-c2ccnc3[nH]c(C)cc23)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ccnc3[nH]c(C)cc23)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc3[nH]c(C)cc23)s1; [None]; [None]; [0]
-Cc1cc2c(-c3csc(N4CCOCC4)n3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c([C@H]3CCCN3C(N)=O)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(CC3CCOCC3)ccnc2[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccnc3[nH]c(C)cc23)[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ncc4ccccc4n3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cn(C)n(C)c3=O)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cnccc3N3CCOCC3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3ncc4cc[nH]c4n3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(O[C@@H]3CC[C@H](O)CC3)ccnc2[nH]1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
-Cc1cc2c(Cc3ccccc3NS(C)(=O)=O)ccnc2[nH]1; [None]; [None]; [0]
-O=C(Nc1ncc2ccccc2n1)c1ccoc1; ['Nc1ncc2ccccc2n1']; ['O=C(Cl)c1ccoc1']; [0.998999298]
-Cc1cc2c(-c3cnnc(N(C)C)c3)ccnc2[nH]1; [None]; [None]; [0]
-O=C(Nc1ccc(N2CCOCC2)cc1)c1ccoc1; ['Nc1ccc(N2CCOCC2)cc1', 'COC(=O)c1ccoc1']; ['O=C(Cl)c1ccoc1', 'Nc1ccc(N2CCOCC2)cc1']; [0.999630094, 0.999630094]
-O=C(Nc1cccc(NC(=O)C2CC2)c1)c1ccoc1; [None]; [None]; [0]
-COc1cccc(N2CCC(NC(=O)c3ccoc3)CC2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(NC(=O)c2ccoc2)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(NC(=O)c2ccoc2)cc1; ['Nc1ccc(C(=O)[O-])cc1']; ['O=C(O)c1ccoc1']; [0.943903387]
-O=C(Nc1ccc(C(=O)N2CCOCC2)cc1)c1ccoc1; ['Nc1ccc(C(=O)N2CCOCC2)cc1']; ['O=C(Cl)c1ccoc1']; [0.999997616]
-O=C(Nc1ccccc1)c1ccoc1; ['Nc1ccccc1']; ['O=C(O)c1ccoc1']; [0.988425851]
-CN(C)S(=O)(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)N2CCOCC2)cn1)c1ccoc1; [None]; [None]; [0]
-O=C(NC1CCCCC1)c1ccoc1; ['NC1CCCCC1']; ['O=C(O)c1ccoc1']; [0.994265]
-CC(=O)NCc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(NC(=O)c2ccoc2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1']; ['O=C(O)c1ccoc1']; [0.9979]
-C[C@@H](O)COc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
-O=C(N[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccoc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(NC(=O)c2ccoc2)CC1; ['CS(=O)(=O)N1CCC(N)CC1']; ['O=C(Cl)c1ccoc1']; [0.999277174]
-CN(C)c1ccc(NC(=O)c2ccoc2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['COC(=O)c1ccoc1']; [0.918489039]
-Cc1c(NC(=O)c2ccoc2)cccc1C(=O)[O-]; [None]; [None]; [0]
-COc1cc(OC)c(NC(=O)c2ccoc2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N']; ['O=C(Cl)c1ccoc1']; [0.996078074]
-O=C(Nc1cc(-c2ccccc2)[nH]n1)c1ccoc1; ['Nc1cc(-c2ccccc2)[nH]n1']; ['O=C(Cl)c1ccoc1']; [0.988267958]
-Cc1cc(NC(=O)c2ccoc2)sn1; [None]; [None]; [0]
-O=C(Nc1cc(N2CCOCC2)ccn1)c1ccoc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(NC(=O)c3ccoc3)CC2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](NC(=O)c2ccoc2)CC1; [None]; [None]; [0]
-O=C(Nc1cccnc1Oc1ccccc1)c1ccoc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(NC(=O)c2ccoc2)cc1; ['CN(C)C(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccoc1']; [0.999828577]
-COc1cc(N2CCOCC2)ccc1NC(=O)c1ccoc1; ['COc1cc(N2CCOCC2)ccc1N']; ['O=C(O)c1ccoc1']; [0.999750197]
-CC(C)(C)c1ccc(NC(=O)c2ccoc2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccoc2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)NNC(=O)c2ccoc2)c1; ['COc1cccc(C(=O)NN)c1']; ['O=C(O)c1ccoc1']; [0.979961336]
-O=C(NC1CCOCC1)c1ccoc1; ['CCOC(=O)c1ccoc1']; ['NC1CCOCC1']; [0.999663711]
-COCCNC(=O)c1ccoc1; ['COCCN']; ['O=C(Cl)c1ccoc1']; [0.998856306]
-CCN1CCN(Cc2ccc(NC(=O)c3ccoc3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1']; ['O=C(O)c1ccoc1']; [0.998607]
-O=C(Nc1ncc2cccn2n1)c1ccoc1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccoc2)ccc1N1CCOCC1; [None]; [None]; [0]
-O=C(Nc1cc2ccccn2n1)c1ccoc1; [None]; [None]; [0]
-O=C(Nc1ccc(N2CCCCC2)cc1)c1ccoc1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2nccn2)c1)c1ccoc1; ['Nc1cccc(-n2nccn2)c1']; ['O=C(O)c1ccoc1']; [0.99961108]
-O=C(Nc1ncc(Cl)cn1)c1ccoc1; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1', 'Clc1cnc(Cl)nc1']; ['O=C(Cl)c1ccoc1', 'O=C(O)c1ccoc1', 'NC(=O)c1ccoc1']; [0.999526739, 0.999526739, 0.999526739]
-CC1(C)Cc2cc(NC(=O)c3ccoc3)ccc2O1; [None]; [None]; [0]
-Cc1csc2c(NC(=O)c3ccoc3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['NC(=O)c1ccoc1']; [0.986041725]
-CO[C@@H]1CC[C@@H](NC(=O)c2ccoc2)CC1; [None]; [None]; [0]
-O=C(Nc1cc(F)cc2c1OCOC2)c1ccoc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(NC(=O)c2ccoc2)CC1; ['CCNC(=O)N1CCC(N)CC1']; ['O=C(O)c1ccoc1']; [0.999286]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccoc2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(NC(=O)c2ccoc2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['O=C(Cl)c1ccoc1']; [0.994169235]
-COc1ccc2oc(NC(=O)c3ccoc3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
-O=C(Nc1cc(-c2cccnc2)ccn1)c1ccoc1; [None]; [None]; [0]
-Cc1nc(NC(=O)c2ccoc2)c2sccc2n1; [None]; [None]; [0]
-O=C(Nc1ncc2sccc2n1)c1ccoc1; [None]; [None]; [0]
-O=C(Nc1ncc2cc(Cl)ccc2n1)c1ccoc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1NC(=O)c1ccoc1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
-COc1ccc2nc(NC(=O)c3ccoc3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)[O-])c(Cl)c1)c1ccoc1; [None]; [None]; [0]
-O=C(Nc1cccc(NC(=O)N2CCCC2)c1)c1ccoc1; [None]; [None]; [0]
-Cn1cc(NC(=O)c2ccoc2)c2ccccc21; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccoc2)cc(C)c1OCCO; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(NC(=O)c2ccoc2)n1; [None]; [None]; [0]
-O=C(NC1CCC(F)(F)CC1)c1ccoc1; ['NC1CCC(F)(F)CC1']; ['O=C(O)c1ccoc1']; [0.997866213]
-CN(C)c1ccc(NC(=O)c2ccoc2)cn1; [None]; [None]; [0]
-O=C(NC1CCS(=O)(=O)CC1)c1ccoc1; ['NC1CCS(=O)(=O)CC1']; ['O=C(Cl)c1ccoc1']; [0.999739]
-Cc1n[nH]c2cc(NC(=O)c3ccoc3)ccc12; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1NC(=O)c1ccoc1; ['Cc1cc(N2CCOCC2)ccc1N']; ['O=C(Cl)c1ccoc1']; [0.998010814]
-COc1cc(N2CCC(O)CC2)ccc1NC(=O)c1ccoc1; ['COc1cc(N2CCC(O)CC2)ccc1N']; ['O=C(O)c1ccoc1']; [0.999225736]
-CN(C)C(=O)c1ccc(NC(=O)c2ccoc2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(NC(=O)c2ccoc2)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['O=C(O)c1ccoc1']; [0.997258782]
-CNC(=O)c1ccc(NC(=O)c2ccoc2)c(OC)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)NC(=O)c1ccoc1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1NC(=O)c1ccoc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3nc(C(N)=O)cs3)CC2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(NC(=O)c2ccoc2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(NC(=O)C3CC3)c2)n1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2nc(C(N)=O)cs2)cn1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(C(=O)N3CCOCC3)cc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(C(=O)N3CCOCC3)cn2)n1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
-NC(=O)c1csc(C2CCCCC2)n1; [None]; [None]; [0]
-NC(=O)c1csc([C@H]2CCN(C(=O)c3ccccc3)C2)n1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-Cc1cc(-c2nc(C(N)=O)cs2)sn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc(C(N)=O)cs2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3nc(C(N)=O)cs3)CC2)c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2nc(C(N)=O)cs2)cc1Cl; [None]; [None]; [0]
-NC(=O)c1csc(-c2cc(N3CCOCC3)ccn2)n1; [None]; [None]; [0]
-NC(=O)c1csc([C@@H]2CC[C@@H]([NH3+])CC2)n1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cc(-c3ccccc3)[nH]n2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccnc2Oc2ccccc2)n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nc(C(N)=O)cs2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2nc(C(N)=O)cs2)c1; ['COc1cccc(C(=O)Cl)c1']; ['NC(=O)c1csc(N)n1']; [0.999967575]
-COc1cc(N2CCOCC2)ccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3nc(C(N)=O)cs3)cc2)CC1; [None]; [None]; [0]
-COCCc1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(C2CCOCC2)n1; [None]; [None]; [0]
-COc1cc(-c2nc(C(N)=O)cs2)ccc1N1CCOCC1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ncc3cccn3n2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(N3CCCCC3)cc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cc3ccccn3n2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ncc(Cl)cn2)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3nc(C(N)=O)cs3)ccc2O1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(-n3nccn3)c2)n1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
-Cc1csc2c(-c3nc(C(N)=O)cs3)ncnc12; [None]; [None]; [0]
-NC(=O)c1csc(-c2cc(F)cc3c2OCOC3)n1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-COc1ccc2oc(-c3nc(C(N)=O)cs3)cc2c1; [None]; [None]; [0]
-Cc1nc(-c2nc(C(N)=O)cs2)c2sccc2n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ncc3cc(Cl)ccc3n2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cc(-c3cccnc3)ccn2)n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3nc(C(N)=O)cs3)[nH]c2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(C(=O)[O-])c(Cl)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(NC(=O)N3CCCC3)c2)n1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2nc(C(N)=O)cs2)n1; [None]; [None]; [0]
-Cc1cc(-c2nc(C(N)=O)cs2)cc(C)c1OCCO; [None]; [None]; [0]
-NC(=O)c1csc(C2CCC(F)(F)CC2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3nc(C(N)=O)cs3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2nc(C(N)=O)cs2)c2ccccc21; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc(C(N)=O)cs2)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc(C(N)=O)cs2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc(C(N)=O)cs2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)c1csc(C2CCS(=O)(=O)CC2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2nc(C(N)=O)cs2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1nc(C(N)=O)cs1; [None]; [None]; [0]
-Cc1cccc(-c2nc(C(N)=O)cs2)c1; []; []; []
-CP(C)(=O)c1ccccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-COC(C)(C)CCc1nc(C(N)=O)cs1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc([C@@H]2CC[C@@H](CO)OC2)n1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2nc(C(N)=O)cs2)cs1; [None]; [None]; [0]
-NC(=O)c1csc(CC2CCCCC2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccccc2C(=O)[O-])n1; [None]; [None]; [0]
-CC(C)C(=O)COc1nc(C(N)=O)cs1; [None]; [None]; [0]
-CNc1nc(C)c(-c2nc(C(N)=O)cs2)s1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
-COc1cnc(-c2nc(C(N)=O)cs2)nc1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(NCCc2c[nH]cn2)n1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1nc(C(N)=O)cs1; [None]; [None]; [0]
-CCC(C)(C)c1nc(C(N)=O)cs1; [None]; [None]; [0]
-CCCCc1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(NCCc2ccccc2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc3c(N)[nH]nc3c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3nc(C(N)=O)cs3)ccc21; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1nc(C(N)=O)cs1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3nc(C(N)=O)cs3)cc2)cn1; [None]; [None]; [0]
-NC(=O)c1csc(CCC[NH3+])n1; [None]; [None]; [0]
-CSc1nc(-c2nc(C(N)=O)cs2)c[nH]1; [None]; [None]; [0]
-CCCn1cnc(-c2nc(C(N)=O)cs2)n1; [None]; [None]; [0]
-CC(C)c1oncc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3nc(C(N)=O)cs3)cc2s1; [None]; [None]; [0]
-NC(=O)c1csc([C@@H]2CCC[C@H]([NH3+])C2)n1; [None]; [None]; [0]
-NC(=O)c1csc(OC(F)(F)F)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2csc3ncncc23)n1; [None]; [None]; [0]
-C[C@H](c1nc(C(N)=O)cs1)C(F)(F)F; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccn([C@@H2]CO)c(=O)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1nc(C(N)=O)cs1; ['CC(C)(C)N=C=O']; ['NC(=O)c1csc(N)n1']; [0.973335445]
-NC(=O)c1csc(-c2ccc(Cl)c(C(=O)[O-])c2)n1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cc[nH]c(=O)c2)n1; [None]; [None]; [0]
-COc1cc(CCc2nc(C(N)=O)cs2)cc(OC)c1; [None]; [None]; [0]
-NC(=O)c1csc([C@@H]2CC[C@@H](NC(=O)O)C2)n1; [None]; [None]; [0]
-CC1(c2nc(C(N)=O)cs2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
-Cc1cc(-c2nc(C(N)=O)cs2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-n2ccc(CO)n2)n1; [None]; [None]; [0]
-C[C@H](Nc1nc(C(N)=O)cs1)C(C)(C)C; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
-C[C@H](Nc1nc(C(N)=O)cs1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1csc(-c2nc[nH]n2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-n2cnc(CCO)c2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
-C[C@@H](Nc1nc(C(N)=O)cs1)C(C)(C)O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1nc(C(N)=O)cs1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-CSc1nc(C)c(-c2nc(C(N)=O)cs2)[nH]1; [None]; [None]; [0]
-Cn1cnnc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-NC(=O)c1csc(CCC(=O)NCc2ccccn2)n1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
-C[C@@H](Nc1nc(C(N)=O)cs1)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2nc(C(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
-CCCCc1cc(-c2nc(C(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2csc(N3CCOCC3)n2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc(C(N)=O)cs2)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2nc(C(N)=O)cs2)[nH]1; [None]; [None]; [0]
-NC(=O)c1csc([C@H]2CCCN2C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1csc(CC2CCOCC2)n1; [None]; [None]; [0]
-Cn1cc(-c2nc(C(N)=O)cs2)c(=O)n1C; [None]; [None]; [0]
-NC(=O)c1csc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
-NC(=O)c1csc(O[C@@H]2CC[C@H](O)CC2)n1; [None]; [None]; [0]
-NC(=O)c1csc(-c2cnccc2N2CCOCC2)n1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccccc2)cc1O; ['Nc1ccccc1']; ['O=C(O)c1ccc(-c2ccccc2)cc1O']; [0.998061717]
-CN(C)c1cc(-c2nc(C(N)=O)cs2)cnn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1nc(C(N)=O)cs1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc(C(=O)Nc3ccccc3)c(O)c2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccccc2C(=O)[O-])cc1O; [None]; [None]; [0]
-Cc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(C2CCOCC2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(C2CCCCC2)cc1O; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cs1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc([C@@H]2CC[C@@H](CO)OC2)cc1O; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)nc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc(Cn3cncn3)c2)cc1O; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)s1; [None]; [None]; [0]
-C[C@@H](c1ccc(C(=O)Nc2ccccc2)c(O)c1)[C@@H](C)O; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)ccc12; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)ccc21; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc(C(=O)Nc3ccccc3)c(O)c2)C1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-CSc1nc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c[nH]1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2csc3ncncc23)cc1O; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c2ccccc21; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2s1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnn3ccccc23)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccn([C@@H2]CO)c(=O)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(Cl)c(C(=O)[O-])c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cc[nH]c(=O)c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnc3[nH]ccc3c2)cc1O; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-CC1(c2ccc(C(=O)Nc3ccccc3)c(O)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc(C(=O)Nc3ccccc3)c(O)c2)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc(C(=O)Nc3ccccc3)c(O)c2)C1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(N3CCOCC3)cc2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2nc[nH]n2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(-n3cncn3)cc2)cc1O; [None]; [None]; [0]
-C[C@@H](O)[C@@H](CO)c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(CC[NH+]2CCNCC2)cc1O; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-CCc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)nc(N)n1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cn(Cc3ccccc3)nn2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2nncn2C2CC2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2csc(N3CCOCC3)n2)cc1O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)nc(N)n1; [None]; [None]; [0]
-O=C(NCCCc1ccc(C(=O)Nc2ccccc2)c(O)c1)c1cccs1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)[nH]1; [None]; [None]; [0]
-[NH3+]CCCCc1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c(=O)n1C; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnccc2N2CCOCC2)cc1O; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cnn1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ncc3ccccc3n2)cc1O; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ncc3cc[nH]c3n2)cc1O; [None]; [None]; [0]
-Cc1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c(F)c1; [None]; [None]; [0]
-Cn1c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)nc2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cn[nH]c2Cl)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2c(Cl)ccc3c2OCO3)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(CCc2ccc(Cl)cc2)cc1O; [None]; [None]; [0]
-COCCCc1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)ccc12; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)o1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2nnco2)cc1O; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ccc(Br)o2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2ncc(F)cn2)cc1O; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n[nH]1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2nncs2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2[nH]nc3ccc(F)cc23)cc1O; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1C; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)ccc1C(N)=O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc([O-])c2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2[nH]cnc2-c2ccc(F)cc2)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(OCc2cccc3ccccc23)cc1O; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(OCc2ccc(F)cc2F)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(CCc2c[nH]c3ccccc23)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(CCc2ccc(F)cc2F)cc1O; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)cc1O; [None]; [None]; [0]
-COc1cc(-c2ncc3ccccc3n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccc(C(N)=O)c(OC)c3)CC2)c1; [None]; [None]; [0]
-COc1cc(-c2ccccc2)ccc1C(N)=O; []; []; []
-COc1cc(-c2ccc(N(C)C(C)=O)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(NC(=O)C3CC3)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(CNC(C)=O)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(N3CCOCC3)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)[O-])cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(NS(C)(=O)=O)nc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(OC[C@@H](C)O)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(C2CCCCC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(C2CCN(S(C)(=O)=O)CC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(S(=O)(=O)N(C)C)cc2)ccc1C(N)=O; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
-COc1cc(-c2cccc(C(=O)[O-])c2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc(C(N)=O)c(OC)c2)cc1Cl; [None]; [None]; [0]
-COc1cc(-c2cc(C)ns2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(N(C)C)c(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(-c3ccccc3)[nH]n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc(C(N)=O)c(OC)c3)CC2)c1; [None]; [None]; [0]
-COc1cc(-c2cc(N3CCOCC3)ccn2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccnc2Oc2ccccc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)N(C)C)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@@H]([NH3+])CC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(N3CCOCC3)cc2OC)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@@H](NC(C)=O)CC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(C)(C)C)nc2)ccc1C(N)=O; [None]; [None]; [0]
-COCCc1ccc(C(N)=O)c(OC)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc(C(N)=O)c(OC)c3)cc2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
-COc1cc(-c2ncc3cccn3n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(N3CCOCC3)c(OC)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(C2CCOCC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc3c(c2)CC(C)(C)O3)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(N3CCCCC3)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc3ccccn3n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ncnc3c(C)csc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(-n3nccn3)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ncc(Cl)cn2)ccc1C(N)=O; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc(C(N)=O)c(OC)c2)CC1; [None]; [None]; [0]
-COc1cc(-c2cc(F)cc3c2OCOC3)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@@H](OC)CC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc(C(N)=O)c(OC)c3)cc2c1; [None]; [None]; [0]
-COc1cc(-c2ccc(C[NH+](C)C)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc([C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(-c3cccnc3)ccn2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2nc(C)nc3ccsc23)ccc1C(N)=O; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
-COc1cc(-c2cn(C)nc2C(C)C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(NC(=O)N3CCCC3)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ncc3cc(Cl)ccc3n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ncc3sccc3n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc(C(N)=O)c(OC)c3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(-c2cn(C)c3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(N3CCC[C@@H]3C)n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(N(C)C)nc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)[O-])c(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc3c(C)n[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(C2CCS(=O)(=O)CC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(C)c(OCCO)c(C)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(N3CCC(O)CC3)cc2OC)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(N3CCOCC3)cc2C)ccc1C(N)=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)c(OC)c1; [None]; [None]; [0]
-COc1cc(C2CCC(F)(F)CC2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc([C@H](C)CS(C)(=O)=O)ccc1C(N)=O; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)N(C)C)cc2Cl)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(F)cc2C)ccc1C(N)=O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
-COc1cc(-c2nc3ccccc3n2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)cc2F)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cn[nH]c2Cl)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(C(=O)NCCO)ccc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(CCc2ccc(Cl)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2c(C)ccc3[nH]ncc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccccc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(C(N)=O)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-n2ccc(CC(=O)[O-])c2)ccc1C(N)=O; [None]; [None]; [0]
-COCCCc1ccc(C(N)=O)c(OC)c1; [None]; [None]; [0]
-COc1cc(-c2nnco2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2c(Cl)ccc3c2OCO3)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2nnc(C)o2)ccc1C(N)=O; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc(C(N)=O)c(OC)c3)ccc12; [None]; [None]; [0]
-CNc1nccc(-c2ccc(C(N)=O)c(OC)c2)n1; [None]; [None]; [0]
-COc1cc(-c2ncc(F)cn2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]ccc3c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(Br)o2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(N(C)c2cccc(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc(C(N)=O)c(OC)c1; [None]; [None]; [0]
-COc1cc(-c2nncs2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cccc([O-])c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(N)[nH]n2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2[nH]nc(C)c2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(=O)NC3CC3)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2[nH]nc3ccc(F)cc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2[nH]cnc2-c2ccc(F)cc2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(CCc2c[nH]c3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)c(C)c2)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2c(-c3ccccc3)noc2C)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(OCc2cccc3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(CCc2ccc(F)cc2F)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)ccc1C(N)=O; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CC(=O)N(C)c1ccc(N)cc1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999972105]
-COc1cc(OCc2ccc(F)cc2F)ccc1C(N)=O; [None]; [None]; [0]
-O=C(Nc1ccc(N2CCOCC2)cc1)c1ccc(Br)cc1; []; []; []
-O=C(Nc1ncc2ccccc2n1)c1ccc(Br)cc1; ['Clc1ncc2ccccc2n1']; ['NC(=O)c1ccc(Br)cc1']; [0.976016521]
-COc1cccc(N2CCC(NC(=O)c3ccc(Br)cc3)CC2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Br)cc1; ['Nc1ccccc1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999937892]
-CS(=O)(=O)Nc1ccc(NC(=O)c2ccc(Br)cc2)cn1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)N2CCOCC2)cc1)c1ccc(Br)cc1; ['O=C(Cl)c1ccc(Br)cc1']; ['O=C(c1ccc([N+](=O)[O-])cc1)N1CCOCC1']; [0.999828577]
-O=C(Nc1cccc(NC(=O)C2CC2)c1)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['Nc1ccc(C(=O)[O-])cc1']; ['O=C(O)c1ccc(Br)cc1']; [0.814609766]
-CC(=O)NCc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CN(C)S(=O)(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999987]
-O=C(Nc1ccc(C(=O)N2CCOCC2)cn1)c1ccc(Br)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
-O=C(NC1CCCCC1)c1ccc(Br)cc1; ['C1CCCCC1', 'NC1CCCCC1']; ['NC(=O)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.913441896, 0.913441896]
-CS(=O)(=O)N1CCC(NC(=O)c2ccc(Br)cc2)CC1; ['CS(=O)(=O)N1CCC(N)CC1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999973536]
-O=C(N[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccc(Br)cc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'COC(=O)c1ccc(Br)cc1']; [0.999863744, 0.999863744]
-CN(C)c1ccc(NC(=O)c2ccc(Br)cc2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['O=C(O)c1ccc(Br)cc1']; [0.999720275]
-Cc1c(NC(=O)c2ccc(Br)cc2)cccc1C(=O)[O-]; [None]; [None]; [0]
-COc1cc(OC)c(NC(=O)c2ccc(Br)cc2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N']; ['O=C(O)c1ccc(Br)cc1']; [0.998736203]
-O=C(Nc1cc(-c2ccccc2)[nH]n1)c1ccc(Br)cc1; ['Nc1cc(-c2ccccc2)[nH]n1']; ['O=C(O)c1ccc(Br)cc1']; [0.996610701]
-O=C(Nc1cc(N2CCOCC2)ccn1)c1ccc(Br)cc1; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccc(Br)cc2)sn1; ['Cc1cc(N)sn1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999977231]
-[NH3+][C@@H]1CC[C@@H](NC(=O)c2ccc(Br)cc2)CC1; [None]; [None]; [0]
-O=C(Nc1cccnc1Oc1ccccc1)c1ccc(Br)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(NC(=O)c3ccc(Br)cc3)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.999977827, 0.999977827]
-COc1cc(N2CCOCC2)ccc1NC(=O)c1ccc(Br)cc1; ['COc1cc(N2CCOCC2)ccc1N', 'CCOC(=O)c1ccc(Br)cc1']; ['O=C(O)c1ccc(Br)cc1', 'COc1cc(N2CCOCC2)ccc1N']; [0.999678493, 0.999678493]
-CC(C)(C)c1ccc(NC(=O)c2ccc(Br)cc2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)NNC(=O)c2ccc(Br)cc2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)NN)c1']; ['NNC(=O)c1ccc(Br)cc1', 'O=C(Cl)c1ccc(Br)cc1']; [0.999533057, 0.999533057]
-CCN1CCN(Cc2ccc(NC(=O)c3ccc(Br)cc3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc([N+](=O)[O-])cc2)CC1']; ['O=C(O)c1ccc(Br)cc1', 'O=C(Cl)c1ccc(Br)cc1']; [0.999553382, 0.999553382]
-O=C(NC1CCOCC1)c1ccc(Br)cc1; ['NC1CCOCC1', 'NC1CCOCC1', 'NC1CCOCC1', 'COC(=O)c1ccc(Br)cc1']; ['O=C(O)c1ccc(Br)cc1', 'OCc1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1', 'NC1CCOCC1']; [0.999948263, 0.999948263, 0.999948263, 0.999948263]
-CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccc(Br)cc2)CC1; [None]; [None]; [0]
-COCCNC(=O)c1ccc(Br)cc1; ['COCCN', 'COCCN']; ['O=C(O)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.999509811, 0.999509811]
-COc1cc(NC(=O)c2ccc(Br)cc2)ccc1N1CCOCC1; [None]; [None]; [0]
-O=C(Nc1cc2ccccn2n1)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(N2CCCCC2)cc1)c1ccc(Br)cc1; ['Nc1ccc(N2CCCCC2)cc1']; ['O=C(O)c1ccc(Br)cc1']; [0.999919057]
-O=C(Nc1ncc(Cl)cn1)c1ccc(Br)cc1; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1']; ['O=C(Cl)c1ccc(Br)cc1', 'O=C(O)c1ccc(Br)cc1']; [0.999697328, 0.999697328]
-O=C(Nc1ncc2cccn2n1)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2nccn2)c1)c1ccc(Br)cc1; ['COC(=O)c1ccc(Br)cc1']; ['Nc1cccc(-n2nccn2)c1']; [0.997318447]
-CO[C@@H]1CC[C@@H](NC(=O)c2ccc(Br)cc2)CC1; [None]; [None]; [0]
-CC1(C)Cc2cc(NC(=O)c3ccc(Br)cc3)ccc2O1; [None]; [None]; [0]
-O=C(Nc1cc(F)cc2c1OCOC2)c1ccc(Br)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccc(Br)cc2)CC1; [None]; [None]; [0]
-Cc1csc2c(NC(=O)c3ccc(Br)cc3)ncnc12; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(NC(=O)c2ccc(Br)cc2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999546707]
-CCNC(=O)N1CCC(NC(=O)c2ccc(Br)cc2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
-COc1ccc2oc(NC(=O)c3ccc(Br)cc3)cc2c1; [None]; [None]; [0]
-O=C(Nc1ncc2sccc2n1)c1ccc(Br)cc1; [None]; [None]; [0]
-Cc1nc(NC(=O)c2ccc(Br)cc2)c2sccc2n1; [None]; [None]; [0]
-O=C(Nc1cc(-c2cccnc2)ccn1)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1ncc2cc(Cl)ccc2n1)c1ccc(Br)cc1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)[O-])c(Cl)c1)c1ccc(Br)cc1; [None]; [None]; [0]
-COc1ccc2nc(NC(=O)c3ccc(Br)cc3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(NC(=O)N2CCCC2)c1)c1ccc(Br)cc1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(NC(=O)c2ccc(Br)cc2)n1; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccc(Br)cc2)cc(C)c1OCCO; [None]; [None]; [0]
-O=C(NC1CCC(F)(F)CC1)c1ccc(Br)cc1; ['NC1CCC(F)(F)CC1', 'COC(=O)c1ccc(Br)cc1', 'NC1CCC(F)(F)CC1']; ['O=C(O)c1ccc(Br)cc1', 'NC1CCC(F)(F)CC1', 'O=Cc1ccc(Br)cc1']; [0.999945164, 0.999945164, 0.999945164]
-Cn1cc(NC(=O)c2ccc(Br)cc2)c2ccccc21; [None]; [None]; [0]
-Cc1n[nH]c2cc(NC(=O)c3ccc(Br)cc3)ccc12; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1NC(=O)c1ccc(Br)cc1; ['COc1cc(N2CCC(O)CC2)ccc1N', 'COC(=O)c1ccc(Br)cc1']; ['O=C(Cl)c1ccc(Br)cc1', 'COc1cc(N2CCC(O)CC2)ccc1N']; [0.9996351, 0.9996351]
-CN(C)c1ccc(NC(=O)c2ccc(Br)cc2)cn1; [None]; [None]; [0]
-O=C(NC1CCS(=O)(=O)CC1)c1ccc(Br)cc1; ['NC1CCS(=O)(=O)CC1']; ['O=C(Cl)c1ccc(Br)cc1']; [0.999992967]
-CN(C)C(=O)c1ccc(NC(=O)c2ccc(Br)cc2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2ccc(Br)cc2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['COC(=O)c1ccc(Br)cc1']; [0.993315399]
-Cc1cc(N2CCOCC2)ccc1NC(=O)c1ccc(Br)cc1; ['COC(=O)c1ccc(Br)cc1']; ['Cc1cc(N2CCOCC2)ccc1N']; [0.999976397]
-CNC(=O)c1ccc(C)c(NC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1ncc2ccccc2n1)c1ccc(F)cc1; ['Nc1ncc2ccccc2n1']; ['O=C(Cl)c1ccc(F)cc1']; [0.999763072]
-CC(=O)N(C)c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CC(=O)N(C)c1ccc(N)cc1']; ['O=C(O)c1ccc(F)cc1']; [0.99986136]
-Cc1ccc(C(=O)NCCO)cc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(N2CCOCC2)cc1)c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(NC(=O)C2CC2)c1)c1ccc(F)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['Nc1ccc(C(=O)[O-])cc1']; ['O=C(Cl)c1ccc(F)cc1']; [0.981025159]
-COc1cccc(N2CCC(NC(=O)c3ccc(F)cc3)CC2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(F)cc1; ['Nc1ccccc1']; ['O=C(Cl)c1ccc(F)cc1']; [0.999892712]
-CS(=O)(=O)Nc1ccc(NC(=O)c2ccc(F)cc2)cn1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)N2CCOCC2)cc1)c1ccc(F)cc1; ['Nc1ccc(C(=O)N2CCOCC2)cc1']; ['O=C(O)c1ccc(F)cc1']; [0.999982715]
-O=C(Nc1ccc(C(=O)N2CCOCC2)cn1)c1ccc(F)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
-O=C(NC1CCCCC1)c1ccc(F)cc1; ['NC1CCCCC1', 'C1CCCCC1']; ['O=C(O)c1ccc(F)cc1', 'NC(=O)c1ccc(F)cc1']; [0.998781383, 0.998781383]
-CN(C)S(=O)(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CN(C)S(=O)(=O)c1ccc(N)cc1']; ['COC(=O)c1ccc(F)cc1']; [0.999403119]
-CCNS(=O)(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1']; ['O=C(O)c1ccc(F)cc1', 'COC(=O)c1ccc(F)cc1']; [0.997804701, 0.997804701]
-O=C(N[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccc(F)cc1; [None]; [None]; [0]
-CN(C)c1ccc(NC(=O)c2ccc(F)cc2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['O=C(Cl)c1ccc(F)cc1']; [0.999824]
-C[C@@H](O)COc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
-COc1cc(OC)c(NC(=O)c2ccc(F)cc2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N']; ['O=C(Cl)c1ccc(F)cc1', 'O=Cc1ccc(F)cc1']; [0.999665, 0.999665]
-CS(=O)(=O)N1CCC(NC(=O)c2ccc(F)cc2)CC1; ['CS(=O)(=O)N1CCC(N)CC1']; ['O=C(Cl)c1ccc(F)cc1']; [0.999953508]
-O=C(Nc1cc(-c2ccccc2)[nH]n1)c1ccc(F)cc1; ['Nc1cc(-c2ccccc2)[nH]n1']; ['O=C(Cl)c1ccc(F)cc1']; [0.994832873]
-Cc1c(NC(=O)c2ccc(F)cc2)cccc1C(=O)[O-]; [None]; [None]; [0]
-O=C(Nc1cc(N2CCOCC2)ccn1)c1ccc(F)cc1; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccc(F)cc2)sn1; ['Cc1cc(N)sn1']; ['O=C(Cl)c1ccc(F)cc1']; [0.999978542]
-[NH3+][C@@H]1CC[C@@H](NC(=O)c2ccc(F)cc2)CC1; [None]; [None]; [0]
-O=C(Nc1cccnc1Oc1ccccc1)c1ccc(F)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(NC(=O)c3ccc(F)cc3)CC2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(NC(=O)c2ccc(F)cc2)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CN(C)C(=O)c1ccc(N)cc1']; ['O=Cc1ccc(F)cc1']; [0.976960063]
-COc1cc(N2CCOCC2)ccc1NC(=O)c1ccc(F)cc1; ['COc1cc(N2CCOCC2)ccc1N']; ['O=C(Cl)c1ccc(F)cc1']; [0.999961257]
-CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccc(F)cc2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)NNC(=O)c2ccc(F)cc2)c1; ['COc1cccc(C(=O)NN)c1', 'COc1cccc(C(=O)O)c1']; ['O=C(O)c1ccc(F)cc1', 'NNC(=O)c1ccc(F)cc1']; [0.996996522, 0.996996522]
-O=C(NC1CCOCC1)c1ccc(F)cc1; ['NC1CCOCC1', 'NC1CCOCC1', 'NC(=O)c1ccc(F)cc1']; ['O=Cc1ccc(F)cc1', 'OCc1ccc(F)cc1', 'NC1CCOCC1']; [0.998880804, 0.998880804, 0.998880804]
-CCN1CCN(Cc2ccc(NC(=O)c3ccc(F)cc3)cc2)CC1; ['CCN1CCN(Cc2ccc([N+](=O)[O-])cc2)CC1']; ['O=C(Cl)c1ccc(F)cc1']; [0.940376639]
-COCCNC(=O)c1ccc(F)cc1; ['COCCN', 'COC(=O)c1ccc(F)cc1']; ['O=C(O)c1ccc(F)cc1', 'COCCN']; [0.999928832, 0.999928832]
-O=C(Nc1ncc2cccn2n1)c1ccc(F)cc1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccc(F)cc2)ccc1N1CCOCC1; [None]; [None]; [0]
-O=C(Nc1ccc(N2CCCCC2)cc1)c1ccc(F)cc1; ['Nc1ccc(N2CCCCC2)cc1', 'COC(=O)c1ccc(F)cc1']; ['O=C(Cl)c1ccc(F)cc1', 'Nc1ccc(N2CCCCC2)cc1']; [0.999970317, 0.999970317]
-CC1(C)Cc2cc(NC(=O)c3ccc(F)cc3)ccc2O1; [None]; [None]; [0]
-O=C(Nc1cc2ccccn2n1)c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2nccn2)c1)c1ccc(F)cc1; ['COC(=O)c1ccc(F)cc1']; ['Nc1cccc(-n2nccn2)c1']; [0.996141255]
-O=C(Nc1ncc(Cl)cn1)c1ccc(F)cc1; ['Clc1cnc(Cl)nc1']; ['NC(=O)c1ccc(F)cc1']; [0.937769413]
-Cc1csc2c(NC(=O)c3ccc(F)cc3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['NC(=O)c1ccc(F)cc1']; [0.999709308]
-O=C(Nc1cc(F)cc2c1OCOC2)c1ccc(F)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](NC(=O)c2ccc(F)cc2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(NC(=O)c2ccc(F)cc2)CC1; ['CCNC(=O)N1CCC(N)CC1']; ['O=C(O)c1ccc(F)cc1']; [0.999934316]
-COc1ccc2oc(NC(=O)c3ccc(F)cc3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccc(F)cc2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(NC(=O)c2ccc(F)cc2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['COC(=O)c1ccc(F)cc1']; [0.983040273]
-O=C(Nc1cc(-c2cccnc2)ccn1)c1ccc(F)cc1; [None]; [None]; [0]
-Cc1nc(NC(=O)c2ccc(F)cc2)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1ncc2cc(Cl)ccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1ncc2sccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(NC(=O)N2CCCC2)c1)c1ccc(F)cc1; [None]; [None]; [0]
-COc1ccc2nc(NC(=O)c3ccc(F)cc3)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
-Cn1cc(NC(=O)c2ccc(F)cc2)c2ccccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(NC(=O)c2ccc(F)cc2)n1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)[O-])c(Cl)c1)c1ccc(F)cc1; [None]; [None]; [0]
-CN(C)c1ccc(NC(=O)c2ccc(F)cc2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(NC(=O)c3ccc(F)cc3)ccc12; [None]; [None]; [0]
-O=C(NC1CCS(=O)(=O)CC1)c1ccc(F)cc1; ['NC1CCS(=O)(=O)CC1']; ['O=C(O)c1ccc(F)cc1']; [0.999927163]
-Cc1cc(NC(=O)c2ccc(F)cc2)cc(C)c1OCCO; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1NC(=O)c1ccc(F)cc1; ['COc1cc(N2CCC(O)CC2)ccc1N', 'COC(=O)c1ccc(F)cc1']; ['O=C(Cl)c1ccc(F)cc1', 'COc1cc(N2CCC(O)CC2)ccc1N']; [0.999944, 0.999944]
-Cc1cc(N2CCOCC2)ccc1NC(=O)c1ccc(F)cc1; ['COC(=O)c1ccc(F)cc1', 'Cc1cc(N2CCOCC2)ccc1N']; ['Cc1cc(N2CCOCC2)ccc1N', 'O=Cc1ccc(F)cc1']; [0.999636531, 0.999636531]
-O=C(NC1CCC(F)(F)CC1)c1ccc(F)cc1; ['NC1CCC(F)(F)CC1']; ['O=Cc1ccc(F)cc1']; [0.988010585]
-CN(C)C(=O)c1ccc(NC(=O)c2ccc(F)cc2)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; ['CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['O=C(O)c1ccc(F)cc1', 'NC(=O)c1ccc(F)cc1']; [0.995886743, 0.995886743]
-C[C@H](CS(C)(=O)=O)NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2ccc(F)cc2)c(OC)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(NC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3ncc4ccccc4n3)cn2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cnn(-c4ccccc4)c3)CC2)c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnn(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
-c1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['OB(O)c1ccccc1']; [0.994591773]
-c1ccc(-n2cc(-c3ccc(N4CCOCC4)cc3)cn2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnn(-c3ccccc3)c2)c1)C1CC1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnn(-c3ccccc3)c2)cn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['O=c1[nH]ncc2ccccc12']; [0.757590711]
-O=C(c1ccc(-c2cnn(-c3ccccc3)c2)cc1)N1CCOCC1; ['Brc1cnn(-c2ccccc2)c1']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.999986768]
-O=C(c1ccc(-c2cnn(-c3ccccc3)c2)nc1)N1CCOCC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-c1ccc(Cc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(C3CCCCC3)cn2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; [0.99879837]
-Nc1ncc(Cc2cnn(-c3ccccc3)c2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cnn(-c3ccccc3)c2)C1; [None]; [None]; [0]
-c1ccc(-n2cc(Cc3cncnc3)cn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnn(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cc(N4CCOCC4)ccn3)cn2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cnn(-c3ccccc3)c2)sn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnn(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cnn(-c4ccccc4)c3)CC2)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; [0.999946952]
-c1ccc(-c2cc(-c3cnn(-c4ccccc4)c3)n[nH]2)cc1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnn(-c3ccccc3)c2)cn1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnn(-c4ccccc4)c3)cc2)CC1; [None]; [None]; [0]
-CC[NH+](CC)c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(C3CCOCC3)cn2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(CCCn3cncn3)cn2)cc1; [None]; [None]; [0]
-CCCCCc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-COc1cc(-c2cnn(-c3ccccc3)c2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3ncc4cccn4n3)cn2)cc1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cc4ccccn4n3)cn2)cc1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cnn(-c4ccccc4)c3)ccc2O1; [None]; [None]; [0]
-Clc1cnc(-c2cnn(-c3ccccc3)c2)nc1; [None]; [None]; [0]
-Cc1csc2c(-c3cnn(-c4ccccc4)c3)ncnc12; [None]; [None]; [0]
-c1ccc(-n2cc(-c3ccc(N4CCCCC4)cc3)cn2)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cccc(-n4nccn4)c3)cn2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-O=C(Nc1cnn(-c2ccccc2)c1)c1ccco1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cnn(-c4ccccc4)c3)c1)OCOC2; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CC(C)(C)c1ccc(C(N)=O)cc1']; [0.989309311]
-COc1ccc2oc(-c3cnn(-c4ccccc4)c3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cc(-c4cccnc4)ccn3)cn2)cc1; [None]; [None]; [0]
-Cc1nc(-c2cnn(-c3ccccc3)c2)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3ncc4sccc4n3)cn2)cc1; [None]; [None]; [0]
-Clc1ccc2nc(-c3cnn(-c4ccccc4)c3)ncc2c1; [None]; [None]; [0]
-COc1ccc2nc(-c3cnn(-c4ccccc4)c3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=Cc1cnn(-c2ccccc2)c1']; [0.999379635]
-O=C(Nc1cccc(-c2cnn(-c3ccccc3)c2)c1)N1CCCC1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnn(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2cnn(-c3ccccc3)c2)c2ccccc21; [None]; [None]; [0]
-Cc1cc(-c2cnn(-c3ccccc3)c2)cc(C)c1OCCO; [None]; [None]; [0]
-FC(F)(F)Oc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnn(-c4ccccc4)c3)ccc21; ['Brc1cnn(-c2ccccc2)c1']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999952674]
-C[C@H]1CCCN1c1cccc(-c2cnn(-c3ccccc3)c2)n1; [None]; [None]; [0]
-C[NH+](C)CCCc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnn(-c3ccccc3)c2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnn(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
-FC1(F)CCC(c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(CC3CCOCC3)cn2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnn(-c3ccccc3)c2)c(Cl)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)c(OC)c1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cnn(-c2ccccc2)c1; ['Brc1cnn(-c2ccccc2)c1']; ['Cc1cc(F)ccc1B(O)O']; [0.998678267]
-CCNC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)c(F)c1; [None]; [None]; [0]
-Cc1ccccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Cn1c(-c2cnn(-c3ccccc3)c2)nc2ccccc21; [None]; [None]; [0]
-Clc1ccc(CCc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cnn(-c3ccccc3)c1)OCO2; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnn(-c3ccccc3)c2)c[nH]1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnn(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
-c1ccc(-n2cc(-c3nnco3)cn2)cc1; [None]; [None]; [0]
-COCCCc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3cnc4[nH]ccc4c3)cn2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; [0.99978441]
-Cc1nnc(-c2cnn(-c3ccccc3)c2)o1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-CNc1nccc(-c2cnn(-c3ccccc3)c2)n1; [None]; [None]; [0]
-Fc1cnc(-c2cnn(-c3ccccc3)c2)nc1; [None]; [None]; [0]
-Nc1cc(-c2cnn(-c3ccccc3)c2)n[nH]1; [None]; [None]; [0]
-Brc1ccc(-c2cnn(-c3ccccc3)c2)o1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cnn(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
-[O-]c1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
-c1ccc(-n2cc(-c3nncs3)cn2)cc1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C']; [0.999904513]
-Cc1cc(-c2cnn(-c3ccccc3)c2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnn(-c3ccccc3)c2)c1C; [None]; [None]; [0]
-c1ccc(-n2cc(CCc3c[nH]c4ccccc34)cn2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cnn(-c3ccccc3)c2)cc1; ['Brc1cnn(-c2ccccc2)c1']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.865026116]
-c1ccc(-n2cc(OCc3cccc4ccccc34)cn2)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Fc1ccc(COc2cnn(-c3ccccc3)c2)c(F)c1; [None]; [None]; [0]
-Fc1ccc(CCc2cnn(-c3ccccc3)c2)c(F)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-CCOc1ccccc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@H](c1ccccc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2[C@@H](C)c2ccc3ncccc3c2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccnc2ccccc12; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)C1CCOCC1; [None]; [None]; [0]
-C[C@H](c1cccc(C(F)(F)F)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccccc1P(C)(C)=O; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cc[nH]n1; [None]; [None]; [0]
-C[C@H](c1cccnc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccccc1F; [None]; [None]; [0]
-Cc1cccc([C@@H](C)c2ccc3ncccc3c2)c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccccc1Cl; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccccc1C#N; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccccc1Br; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccccc1C(=O)[O-]; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccccc1OC(F)(F)F; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccccc1C(N)=O; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1c(F)cccc1F; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccncn1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnn(CCO)c1; [None]; [None]; [0]
-C[C@H](c1cccc(NC(=O)c2ccccc2)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1csc(C(C)(C)C)n1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)C1CCCCC1; [None]; [None]; [0]
-C[C@H](c1ccc2c(c1)CCC2)c1ccc2ncccc2c1; [None]; [None]; [0]
-COc1cnc([C@@H](C)c2ccc3ncccc3c2)nc1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)[C@@H]1CC[C@@H](CO)OC1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnco1; [None]; [None]; [0]
-Cc1nc2ccccn2c1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-Cc1ccc([C@@H](C)c2ccc3ncccc3c2)c(Br)c1; [None]; [None]; [0]
-Cc1nc(C)c([C@@H](C)c2ccc3ncccc3c2)s1; [None]; [None]; [0]
-CNc1nc(C)c([C@@H](C)c2ccc3ncccc3c2)s1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnc2ccccn12; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnc2cccnn12; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-Cc1nc(N)sc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@H](c1cccc(Cn2cncn2)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cccc(Cl)c1Cl; [None]; [None]; [0]
-COc1cccc([C@@H](C)c2ccc3ncccc3c2)c1; [None]; [None]; [0]
-Cc1ccc(Cl)c([C@@H](C)c2ccc3ncccc3c2)c1; [None]; [None]; [0]
-Cc1ncc([C@@H](C)c2ccc3ncccc3c2)[nH]1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccnc(N)n1; [None]; [None]; [0]
-C[C@H](c1ccc2ccccc2c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)n1cnc2ccccc21; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccc(Cl)s1; [None]; [None]; [0]
-C[C@H](c1ccc(-c2cnn(C)c2)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@H](c1cccc(CC(=O)[O-])c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cncc2ccccc12; [None]; [None]; [0]
-CCCn1cnc([C@@H](C)c2ccc3ncccc3c2)n1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccc2c(cnn2C)c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)[C@@H]1CCC[C@H]([NH3+])C1; [None]; [None]; [0]
-C[C@H](c1cccc(CO)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@H](c1cccc(O)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cccs1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccco1; [None]; [None]; [0]
-CC(C)c1oncc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cncn1C; [None]; [None]; [0]
-CSc1nc([C@@H](C)c2ccc3ncccc3c2)c[nH]1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnn(C)c1; [None]; [None]; [0]
-CCNc1nc2ccc([C@@H](C)c3ccc4ncccc4c3)cc2s1; [None]; [None]; [0]
-C[C@H](c1cccc(CCC#N)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1csc2ncncc12; [None]; [None]; [0]
-CC(=O)Nc1cccc([C@@H](C)c2ccc3ncccc3c2)c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
-CCC(=O)Nc1ccc([C@@H](C)c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnn2ccccc12; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cn(C)c2ccccc12; [None]; [None]; [0]
-COc1ccc([C@@H](C)c2ccc3ncccc3c2)cc1Cl; [None]; [None]; [0]
-Cc1cc([C@@H](C)c2ccc3ncccc3c2)no1; [None]; [None]; [0]
-C[C@H](c1cnoc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-CCCn1cc([C@@H](C)c2ccc3ncccc3c2)cn1; [None]; [None]; [0]
-C[C@H](c1cc[nH]c(=O)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@H](c1ccn([C@@H2]CO)c(=O)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cccc2c1C(=O)CC2; [None]; [None]; [0]
-C[C@H](c1ccc(C(C)(C)N)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@H](c1ccc([S@](C)=O)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@H](c1ccc(Cl)c(C(=O)[O-])c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1c[nH]c2cnccc12; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1c[nH]c2ccccc12; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)[C@@H]1CC[C@@H](NC(=O)O)C1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)[C@@H]1CCCN(C(=O)CC#N)C1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)[C@@H]1CC[C@@H](C#N)CC1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)[C@@H]1CC[C@@H](CC#N)CC1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)[C@@H]1CC[C@@H](CCC#N)CC1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)[C@H]1COCC[C@@H]1C#N; [None]; [None]; [0]
-C[C@H](c1ccc(S(=O)(=O)NC(C)(C)C)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@H](c1ccc(N2CCOCC2)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc([C@@H](C)c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
-C[C@H](c1ccc(S(C)(=O)=O)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-Cc1cc([C@@H](C)c2ccc3ncccc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)n1ccc(CO)n1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)n1cnc(CCO)c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)n1ncc2c(O)cccc21; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)n1ncc2ccccc21; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cccc(F)c1C(N)=O; [None]; [None]; [0]
-C[C@H](c1ccc(-n2cncn2)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cccnc1O; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1nc[nH]n1; [None]; [None]; [0]
-Cc1nc[nH]c1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-CSc1nc(C)c([C@@H](C)c2ccc3ncccc3c2)[nH]1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-COc1ccc([C@@H](C)c2ccc3ncccc3c2)c(OC)c1; [None]; [None]; [0]
-C[C@H](c1ccc(C(=O)c2ccccc2)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
-CC(C)n1cnnc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1nncn1[C@H](C)CO; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1nncn1C; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)n1ccnc1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1nncn1C1CC1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-CCc1cc([C@@H](C)c2ccc3ncccc3c2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc([C@@H](C)c2ccc3ncccc3c2)nc(N)n1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1nnc(N)s1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnc(N)s1; [None]; [None]; [0]
-Cc1cncc([C@@H](C)c2ccc3ncccc3c2)n1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-COc1cccc(F)c1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc([C@@H](C)c2ccc3ncccc3c2)s1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cccc2ccsc12; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1nc2ccccc2s1; [None]; [None]; [0]
-CC(=O)Nc1ncc([C@@H](C)c2ccc3ncccc3c2)[nH]1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cn(C)n(C)c1=O; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ncc2ccccc2n1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cnccc1N1CCOCC1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1c[nH]c2cccnc12; [None]; [None]; [0]
-COc1ccc(OC)c([C@@H](C)c2ccc3ncccc3c2)c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-Cc1cc(C)cc([C@@H](C)c2ccc3ncccc3c2)c1; [None]; [None]; [0]
-C[C@H](c1cnnc(N(C)C)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
-N#Cc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ncc4ccccc4n3)c2)nc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-Cn1nncc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-COc1ncccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cccc(-c4ncccn4)c3)CC2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-COc1cc(-c2cccc(-c3ncccn3)c2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1cc(-c2cccc(-c3ncccn3)c2)cn1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Oc1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cccc(-c4ncccn4)c3)c2c1; [None]; [None]; [0]
-COc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cnc4cccnn34)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3nc4ccccc4[nH]3)c2)nc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cccc(-c3ncccn3)c2)c1)C1CC1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccc(N4CCOCC4)cc3)c2)nc1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cccc(-c3ncccn3)c2)sn1; [None]; [None]; [0]
-c1ccc(-c2cccc(-c3ncccn3)c2)cc1; ['Clc1ncccn1']; ['OB(O)c1cccc(-c2ccccc2)c1']; [0.999916434]
-CS(=O)(=O)Nc1ccc(-c2cccc(-c3ncccn3)c2)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-c1cnc(Nc2cccc(-c3ncccn3)c2)nc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-c1cnc(-c2cccc(Cc3nccc4ccccc34)c2)nc1; [None]; [None]; [0]
-Fc1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncccn2)c1)C1CC1; [None]; [None]; [0]
-Clc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cccc(C4CCNCC4)c3)c2)nc1; [None]; [None]; [0]
-OCCOc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cccc(-c3ncccn3)c2)nc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2cccc(-c3ncccn3)c2)cc1)N1CCOCC1; [None]; [None]; [0]
-c1cnc(-c2cccc(Nc3ccncn3)c2)nc1; [None]; [None]; [0]
-Cc1cc(-c2cccc(-c3ncccn3)c2)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-c1ccc(Cc2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(Cc3ccncc3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(C3CCCCC3)c2)nc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cccc(-c3ncccn3)c2)s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-c1cnc(-c2cccc(Cc3cccnc3)c2)nc1; [None]; [None]; [0]
-Nc1ncc(Cc2cccc(-c3ncccn3)c2)cn1; [None]; [None]; [0]
-c1cnc(-c2cccc(Cc3cncnc3)c2)nc1; [None]; [None]; [0]
-Clc1ncc(-c2cccc(-c3ncccn3)c2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cccc(-c3ncccn3)c2)C1; [None]; [None]; [0]
-OC[C@@H](O)Cc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cncnc3)c2)nc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-Brc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-n3ccnc3)c2)nc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc(-c3ncccn3)c2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cn[nH]c3)c2)nc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3c[nH]c4ccccc34)c2)nc1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cccc(-c3ncccn3)c2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cccc(-c3ncccn3)c2)sn1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccc[nH]3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccc4c(c3)CCO4)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(Cn3ccnc3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cc(N4CCOCC4)ccn3)c2)nc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cccc(-c4ncccn4)c3)n[nH]2)cc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cc4ccccc4cn3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cccc4c3OCO4)c2)nc1; [None]; [None]; [0]
-COc1cc(-c2cccc(-c3ncccn3)c2)ccc1O; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cccc(-c4ncccn4)c3)CC2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3scc4c3OCCO4)c2)nc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Fc1ccc(-c2cccc(-c3ncccn3)c2)cc1F; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccc(-c3ncccn3)c2)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cnc4ccccc4c3)c2)nc1; [None]; [None]; [0]
-COCCOc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccco3)c2)nc1; [None]; [None]; [0]
-CC1(COc2cccc(-c3ncccn3)c2)COC1; [None]; [None]; [0]
-Cc1cc(-c2cccc(-c3ncccn3)c2)nc(N)n1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cccc(-c4ncccn4)c3)cc2)CC1; [None]; [None]; [0]
-CSc1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(C3CCOCC3)c2)nc1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2cccc(-c3ncccn3)c2)C1; [None]; [None]; [0]
-Fc1ccc(-c2cccc(-c3ncccn3)c2)c(Cl)c1; [None]; [None]; [0]
-CCCCCc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-COc1ccc(-c2cccc(-c3ncccn3)c2)cc1OC; [None]; [None]; [0]
-Brc1cnc(-c2cccc(-c3ncccn3)c2)nc1; [None]; [None]; [0]
-COc1ccc(CNc2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CC[NH+](CC)c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(CCCn3cncn3)c2)nc1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-Clc1ccc(-c2cccc(-c3ncccn3)c2)c(Cl)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccsc3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ncc4cccn4n3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cc4ccccn4n3)c2)nc1; [None]; [None]; [0]
-COc1cc(-c2cccc(-c3ncccn3)c2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2cccc(-c3ncccn3)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cccc(-c4ncccn4)c3)ccc2O1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccc(N4CCCCC4)cc3)c2)nc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cccc(-c3ncccn3)c2)cc1OC; [None]; [None]; [0]
-Oc1ccc2cccc(-c3cccc(-c4ncccn4)c3)c2c1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cccc(-c4ncccn4)c3)c2c1; [None]; [None]; [0]
-Cc1csc2c(-c3cccc(-c4ncccn4)c3)ncnc12; [None]; [None]; [0]
-COc1cc(-c2cccc(-c3ncccn3)c2)ccc1Cl; [None]; [None]; [0]
-Clc1cnc(-c2cccc(-c3ncccn3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cccc(-n4nccn4)c3)c2)nc1; [None]; [None]; [0]
-Cc1nc(Nc2cccc(-c3ncccn3)c2)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2cccc(-c3ncccn3)c2)nn1C; [None]; [None]; [0]
-Cc1ccc(-c2cccc(-c3ncccn3)c2)o1; [None]; [None]; [0]
-COc1cc(-c2cccc(-c3ncccn3)c2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncccn2)c1)c1ccco1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cccc(-c4ncccn4)c3)c1)OCOC2; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3cccc(-c4ncccn4)c3)cc2c1; [None]; [None]; [0]
-CCn1cc(-c2cccc(-c3ncccn3)c2)cn1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccc4cn[nH]c4c3)c2)nc1; [None]; [None]; [0]
-CC(C)Oc1cccc(-c2ncccn2)c1; ['CC(C)Oc1cccc(Br)c1']; ['Clc1ncccn1']; [0.996452332]
-CC(C)(C)c1ccc(C(=O)Nc2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cc(-c4cccnc4)ccn3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cc4ccccc4o3)c2)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-Cc1nc(-c2cccc(-c3ncccn3)c2)c2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-COC(=O)Nc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ncc4sccc4n3)c2)nc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cccc(-c3ncccn3)c2)c1)N1CCCC1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2ncccn2)c1; ['CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C']; ['Clc1ncccn1']; [0.999993563]
-Clc1ccc2nc(-c3cccc(-c4ncccn4)c3)ncc2c1; [None]; [None]; [0]
-COc1ccc2nc(-c3cccc(-c4ncccn4)c3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=C(O)c1cccc(-c2ncccn2)c1']; [0.997933507]
-FC(F)(F)Oc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cccc(-c3ncccn3)c2)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2cccc(-c3ncccn3)c2)c2ccccc21; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cscn3)c2)nc1; [None]; [None]; [0]
-CCc1cccc(-c2cccc(-c3ncccn3)c2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(-c3ncccn3)c2)nc1C; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cccc(-c3ncccn3)c2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc(-c3ncccn3)c2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cccc(-c4ncccn4)c3)ccc21; [None]; [None]; [0]
-Cc1cc(-c2cccc(-c3ncccn3)c2)cc(C)c1OCCO; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-C[NH+](C)CCCc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cccc(-c4ncccn4)c3)ccc12; [None]; [None]; [0]
-O=S1(=O)CCC(c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-FC1(F)CCC(c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-c1cnc(-c2cccc(CC3CCOCC3)c2)nc1; [None]; [None]; [0]
-OCCc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc(-c3ncccn3)c2)c(Cl)c1; [None]; [None]; [0]
-Fc1ccc(Nc2cccc(-c3ncccn3)c2)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(-c3ncccn3)c2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1ccc(Nc2cccc(-c3ncccn3)c2)nc1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-COC(C)(C)CCc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2cccc(-c3ncccn3)c2)C1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc(-c3ncccn3)c2)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccnc4ccccc34)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cc[nH]n3)c2)nc1; [None]; [None]; [0]
-Cc1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-Fc1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cccnc3)c2)nc1; ['CC1(C)OB(c2cccc(-c3cccnc3)c2)OC1(C)C']; ['Clc1ncccn1']; [0.999995112]
-Brc1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Clc1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-N[C@H](c1cccc(-c2ncccn2)c1)c1ccco1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cccc(-c4ncccn4)c3)[nH]2)cc1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cccc(-c4ncccn4)c3)cn2)cc1; [None]; [None]; [0]
-OCCn1cc(-c2cccc(-c3ncccn3)c2)cn1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cccc(-c3ncccn3)c2)c1)c1ccccc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccncn3)c2)nc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cccc(-c3ncccn3)c2)CO1; [None]; [None]; [0]
-COc1cnc(-c2cccc(-c3ncccn3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(CC3CCCCC3)c2)nc1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc(-c3ncccn3)c2)cs1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cnco3)c2)nc1; ['Brc1cccc(-c2cnco2)c1', 'Brc1cccc(-c2cnco2)c1']; ['CCCC[Sn](CCCC)(CCCC)c1ncccn1', 'Clc1ncccn1']; [0.999082565, 0.999082565]
-c1cnc(-c2cccc(-c3ccc4c(c3)CCC4)c2)nc1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(-c3ncccn3)c2)c(Br)c1; [None]; [None]; [0]
-CC(C)C(=O)COc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cnc4ccccn34)c2)nc1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc(-c3ncccn3)c2)s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CC(C)(C)Nc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(OC3CCCCC3)c2)nc1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(NCc3cccnc3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cccc(Cn4cncn4)c3)c2)nc1; [None]; [None]; [0]
-Clc1cccc(-c2cccc(-c3ncccn3)c2)c1Cl; [None]; [None]; [0]
-Cc1ncc(-c2cccc(-c3ncccn3)c2)[nH]1; [None]; [None]; [0]
-CCC(C)(C)c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Nc1nccc(-c2cccc(-c3ncccn3)c2)n1; [None]; [None]; [0]
-Clc1ccc(-c2cccc(-c3ncccn3)c2)s1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccc4ccccc4c3)c2)nc1; [None]; [None]; [0]
-COc1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-n3cnc4ccccc43)c2)nc1; [None]; [None]; [0]
-C[C@H](CO)Nc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CC(C)COc1cccc(-c2ncccn2)c1; ['CC(C)COc1cccc(B(O)O)c1']; ['Clc1ncccn1']; [0.999477446]
-c1cnc(-c2cccc(Nc3cccnc3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(NCCc3c[nH]cn3)c2)nc1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncccn2)c1)c1cccs1; [None]; [None]; [0]
-CCCCc1cccc(-c2ncccn2)c1; ['CCCCc1cccc(Br)c1']; ['Clc1ncccn1']; [0.983979106]
-O=C([O-])Cc1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cncc4ccccc34)c2)nc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cccc(-c4ncccn4)c3)cc2)cn1; [None]; [None]; [0]
-c1ccc(CCNc2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cccc(-c4ncccn4)c3)ccc12; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(-c3ncccn3)c2)n1; [None]; [None]; [0]
-[NH3+]CCCc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Cn1cncc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-OCc1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cccc(-c3ncccn3)c2)C1; [None]; [None]; [0]
-CSc1nc(-c2cccc(-c3ncccn3)c2)c[nH]1; [None]; [None]; [0]
-c1cnc(-c2cccc(Nc3ccncc3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cccs3)c2)nc1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3csc4ncncc34)c2)nc1; [None]; [None]; [0]
-CC(C)Nc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc(-c4ncccn4)c3)cc2s1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-Fc1ccc(-c2cccc(-c3ncccn3)c2)c(C(F)(F)F)c1; [None]; [None]; [0]
-C[C@H](c1cccc(-c2ncccn2)c1)C(F)(F)F; [None]; [None]; [0]
-COc1ccc(-c2cccc(-c3ncccn3)c2)cc1Cl; [None]; [None]; [0]
-CCC(=O)Nc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cnn4ccccc34)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cnoc3)c2)nc1; [None]; [None]; [0]
-CCCn1cc(-c2cccc(-c3ncccn3)c2)cn1; [None]; [None]; [0]
-Cc1cc(-c2cccc(-c3ncccn3)c2)no1; [None]; [None]; [0]
-O=c1cc(-c2cccc(-c3ncccn3)c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cccc(-c4ncccn4)c3)c21; [None]; [None]; [0]
-O=c1cc(-c2cccc(-c3ncccn3)c2)cc[nH]1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-COc1cc(CCc2cccc(-c3ncccn3)c2)cc(OC)c1; [None]; [None]; [0]
-CCOC(=O)Cc1cccc(-c2ncccn2)c1; ['CCOC(=O)Cc1cccc(B(O)O)c1']; ['Clc1ncccn1']; [0.997889817]
-C[S@](=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-CCN(CC)c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cccc(-c3ncccn3)c2)ccc1Cl; [None]; [None]; [0]
-COc1ccncc1Nc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(Nc3cnc4ccccc4c3)c2)nc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cccc(-c4ncccn4)c3)cc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cnc4[nH]ccc4c3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3c[nH]c4cnccc34)c2)nc1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cccc(-c3ncccn3)c2)C1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cccc(-c3ncccn3)c2)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-CC1(c2cccc(-c3ncccn3)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-OCCc1cn(-c2cccc(-c3ncccn3)c2)cn1; [None]; [None]; [0]
-OCc1ccn(-c2cccc(-c3ncccn3)c2)n1; [None]; [None]; [0]
-Cc1cc(-c2cccc(-c3ncccn3)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1cccc(-c2ncccn2)c1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cccc(-c2ncccn2)c1)C(C)(C)C; [None]; [None]; [0]
-C[C@@H](Nc1cccc(-c2ncccn2)c1)C(C)(C)O; [None]; [None]; [0]
-c1cnc(-c2cccc(-n3ncc4ccccc43)c2)nc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Oc1ncccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3nc[nH]n3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ccc(-n4cncn4)cc3)c2)nc1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc(-c3ncccn3)c2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cccc(-c4ncccn4)c3)[nH]c2c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-COc1ccc(-c2cccc(-c3ncccn3)c2)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cccc(-c3ncccn3)c2)cc1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Cn1cnnc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-O=C(CCc1cccc(-c2ncccn2)c1)NCc1ccccn1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cccc(-c4ncccn4)c3)nn2)cc1; [None]; [None]; [0]
-c1cnc(-c2cccc(OC3CCOCC3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3nncn3C3CC3)c2)nc1; [None]; [None]; [0]
-CCc1cc(-c2cccc(-c3ncccn3)c2)nc(N)n1; [None]; [None]; [0]
-C[C@@H](Nc1cccc(-c2ncccn2)c1)C(C)(C)C; [None]; [None]; [0]
-Nc1nnc(-c2cccc(-c3ncccn3)c2)s1; ['NNC(N)=S']; ['O=C(O)c1cccc(-c2ncccn2)c1']; [0.997941554]
-Nc1ncc(-c2cccc(-c3ncccn3)c2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2cccc(-c3ncccn3)c2)nc(N)n1; [None]; [None]; [0]
-Cc1cncc(-c2cccc(-c3ncccn3)c2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(-c3ncccn3)c2)s1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3csc(N4CCOCC4)n3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3nc4ccccc4s3)c2)nc1; ['Nc1ccccc1S']; ['O=C(O)c1cccc(-c2ncccn2)c1']; [0.999988079]
-NC(=O)N1CCC[C@@H]1c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-Nc1nc(-c2cccc(-c3ncccn3)c2)nc2ccccc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cccc4ccsc34)c2)nc1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc(-c3ncccn3)c2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cccc(-c3ncccn3)c2)c(=O)n1C; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3c[nH]c4cccnc34)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3cnccc3N3CCOCC3)c2)nc1; [None]; [None]; [0]
-c1cnc(-c2cccc(-c3ncc4cc[nH]c4n3)c2)nc1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CC(C)(C)CNc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CN(C)c1cc(-c2cccc(-c3ncccn3)c2)cnn1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cccc(-c3ncccn3)c2)CC1; [None]; [None]; [0]
-CC(C)(C)Oc1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-c1cnc(-c2cccc(N3CCC(c4nc5ccccc5[nH]4)CC3)c2)nc1; [None]; [None]; [0]
-N#Cc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cccc(-c3ncccn3)c2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cccc(-c3ncccn3)c2)C1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cccc(NC(=O)O)c3)CC2)c1; [None]; [None]; [0]
-COc1ncccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-CCOc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-COc1cc(-c2cccc(NC(=O)O)c2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-Cn1cc(-c2cccc(NC(=O)O)c2)cn1; [None]; [None]; [0]
-Cn1nncc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(O)c2)c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(NC(=O)C3CC3)c2)c1; [None]; [None]; [0]
-COc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccccc2)c1; ['Nc1cccc(-c2ccccc2)c1']; ['O=C=O']; [0.991500616]
-CS(=O)(=O)Nc1ccc(-c2cccc(NC(=O)O)c2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(Nc2ncccn2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(Cc2nccc3ccccc23)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(F)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(C(=O)Nc3ccccc3)cc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(CCCO)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(OCCO)cc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cccc(NC(=O)O)c2)nn1C; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(C(=O)N3CCOCC3)cc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(C(F)(F)F)cc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(C2CCCCC2)c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cccc(NC(=O)O)c2)s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnc(Cl)nc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cncnc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc([C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(Br)cc2)c1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cn[nH]c2)c1; ['Brc1cccc(-c2cn[nH]c2)c1']; ['NC(=O)O']; [0.896617949]
-O=C(O)Nc1cccc(-c2ccc[nH]2)c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc(NC(=O)O)c2)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)c(-c2cccc(NC(=O)O)c2)cc1Cl; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cc(N3CCOCC3)ccn2)c1; [None]; [None]; [0]
-Cc1cc(-c2cccc(NC(=O)O)c2)sn1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc3c(c2)CCO3)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cc3ccccc3cn2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-COc1cc(-c2cccc(NC(=O)O)c2)ccc1O; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc3c2OCO3)c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cccc(NC(=O)O)c3)CC2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(F)c(F)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2scc3c2OCCO3)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnc3ccccc3c2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccc(NC(=O)O)c2)cn1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccnc2Oc2ccccc2)c1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-COCCc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cccc(NC(=O)O)c3)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-Cc1cc(-c2cccc(NC(=O)O)c2)nc(N)n1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccco2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc([C@@H]2CC[C@@H](O)CC2)c1; [None]; [None]; [0]
-CSc1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-CC[C@@H](CO)c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(C2CCOCC2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(F)cc2Cl)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc([C@H]2CC[C@@H](O)C2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ncc(Br)cn2)c1; [None]; [None]; [0]
-COc1ccc(-c2cccc(NC(=O)O)c2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccsc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(Cl)cc2Cl)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
-Cn1cc(-c2cccc(NC(=O)O)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(-c2cccc(NC(=O)O)c2)ccc1N1CCOCC1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(N3CCCCC3)cc2)c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cccc(NC(=O)O)c3)ccc2O1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cccc(NC(=O)O)c2)cc1OC; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cccc(NC(=O)O)c3)c2c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ncc(Cl)cn2)c1; [None]; [None]; [0]
-Cc1csc2c(-c3cccc(NC(=O)O)c3)ncnc12; [None]; [None]; [0]
-COc1cc(-c2cccc(NC(=O)O)c2)ccc1Cl; [None]; [None]; [0]
-Cc1ccc(-c2cccc(NC(=O)O)c2)o1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(-n3nccn3)c2)c1; [None]; [None]; [0]
-COc1cc(-c2cccc(NC(=O)O)c2)c(OC)cc1Br; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cc(F)cc3c2OCOC3)c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-COc1ccc2oc(-c3cccc(NC(=O)O)c3)cc2c1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc3cn[nH]c3c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cc3ccccc3o2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
-Cc1nc(-c2cccc(NC(=O)O)c2)c2sccc2n1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ncc3cc(Cl)ccc3n2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(OC(F)(F)F)cc2)c1; [None]; [None]; [0]
-COc1ccc2nc(-c3cccc(NC(=O)O)c3)[nH]c2c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cscn2)c1; [None]; [None]; [0]
-Cn1cc(-c2cccc(NC(=O)O)c2)c2ccccc21; [None]; [None]; [0]
-Cc1ccc(-c2cccc(NC(=O)O)c2)nc1C; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(C(=O)[O-])c(Cl)c2)c1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cccc(NC(=O)O)c3)ccc12; [None]; [None]; [0]
-CCc1cccc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
-Cc1cc(-c2cccc(NC(=O)O)c2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc(NC(=O)O)c2)cn1; [None]; [None]; [0]
-O=C(O)Nc1cccc(C2CCS(=O)(=O)CC2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(N3CCCC3=O)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(C2CCC(F)(F)CC2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(CCO)cc2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc(NC(=O)O)c2)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(NC(=O)O)c2)c(OC)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CCOc1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc([C@@H]2C[C@H](O)C2)c1; [None]; [None]; [0]
-COC(C)(C)CCc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc(NC(=O)O)c2)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(Cc2cc(F)cc(F)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccnc3ccccc23)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cc[nH]n2)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-Cc1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccnc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccccc2Br)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccccc2Cl)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccccc2F)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccccc2OC(F)(F)F)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccccc2C(=O)[O-])c1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2c(F)cccc2F)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnn(Cc3ccccc3)c2)c1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-N[C@H](c1cccc(NC(=O)O)c1)c1ccco1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccncn2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(NC(=O)c3ccccc3)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnn(CCO)c2)c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc(NC(=O)O)c2)cs1; [None]; [None]; [0]
-COc1cnc(-c2cccc(NC(=O)O)c2)nc1; [None]; [None]; [0]
-O=C(O)Nc1cccc([C@@H]2CC[C@@H](CO)OC2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc3c(c2)CCC3)c1; [None]; [None]; [0]
-CC(C)C(=O)COc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-Cc1ccc(-c2cccc(NC(=O)O)c2)c(Br)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(CC2CCCCC2)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnco2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc(NC(=O)O)c2)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
-CC(C)(C)Nc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(OC2CCCCC2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(NCc2cccnc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(Cl)c2Cl)c1; [None]; [None]; [0]
-Cc1ncc(-c2cccc(NC(=O)O)c2)[nH]1; [None]; [None]; [0]
-CCC(C)(C)c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-Nc1nccc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
-COc1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(Cl)s2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(Nc2cccnc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-n2cnc3ccccc32)c1; [None]; [None]; [0]
-C[C@H](CO)Nc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(NCCc2c[nH]cn2)c1; [None]; [None]; [0]
-CC(C)COc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(NC(=O)c2cccs2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cncc3ccccc23)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(NCCc2ccccc2)c1; [None]; [None]; [0]
-CCCCc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cccc(NC(=O)O)c3)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-c3cccc(NC(=O)O)c3)ccc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cccc(NC(=O)O)c3)cc2)cn1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-[NH3+]CCCc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
-Cn1cncc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cccc(NC(=O)O)c2)C1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc(CO)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(Nc2ccncc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccs2)c1; [None]; [None]; [0]
-CSc1nc(-c2cccc(NC(=O)O)c2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CC(C)Nc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2csc3ncncc23)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc(NC(=O)O)c3)cc2s1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-O=C(O)Nc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-CCC(=O)Nc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(F)cc2C(F)(F)F)c1; [None]; [None]; [0]
-COc1ccc(-c2cccc(NC(=O)O)c2)cc1Cl; [None]; [None]; [0]
-C[C@H](c1cccc(NC(=O)O)c1)C(F)(F)F; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnoc2)c1; [None]; [None]; [0]
-Cc1cc(-c2cccc(NC(=O)O)c2)no1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccn([C@@H2]CO)c(=O)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cc[nH]c(=O)c2)c1; [None]; [None]; [0]
-CCCn1cc(-c2cccc(NC(=O)O)c2)cn1; [None]; [None]; [0]
-COc1cc(CCc2cccc(NC(=O)O)c2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc3c2C(=O)CC3)c1; [None]; [None]; [0]
-CCOC(=O)Cc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(Cl)c(C(=O)[O-])c2)c1; [None]; [None]; [0]
-CCN(CC)c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-O=C(O)Nc1cccc(Nc2cnc3ccccc3c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cc3c(=O)[nH]ccc3o2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc([C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
-COc1ccncc1Nc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc([C@@H]2CC[C@@H](NC(=O)O)C2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
-CC1(c2cccc(NC(=O)O)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cccc(NC(=O)O)c2)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-n2ccc(CO)n2)c1; [None]; [None]; [0]
-Cc1cc(-c2cccc(NC(=O)O)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
-C[C@H](Nc1cccc(NC(=O)O)c1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cccc(NC(=O)O)c1)C(C)(C)C; [None]; [None]; [0]
-O=C(O)Nc1cccc(-n2cnc(CCO)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-n2ncc3ccccc32)c1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-C[C@@H](Nc1cccc(NC(=O)O)c1)C(C)(C)O; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccnc2O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2nc[nH]n2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-n2ncc3c(O)cccc32)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc(NC(=O)O)c2)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cccc(NC(=O)O)c2)c(OC)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(Cc2ccncc2)c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ccc(C(=O)c3ccccc3)cc2)c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-Cn1cnnc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(OC2CCOCC2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-n2ccnc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(CCC(=O)NCc2ccccn2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
-C[C@@H](Nc1cccc(NC(=O)O)c1)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2cccc(NC(=O)O)c2)nc(N)n1; [None]; [None]; [0]
-Nc1nnc(-c2cccc(NC(=O)O)c2)s1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(NC(=O)O)c2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2cccc(NC(=O)O)c2)nc(N)n1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2csc(N3CCOCC3)n2)c1; [None]; [None]; [0]
-Cc1cncc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(NC(=O)O)c2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cccc3ccsc23)c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc(NC(=O)O)c2)[nH]1; [None]; [None]; [0]
-O=C(O)Nc1cccc(CC2CCOCC2)c1; [None]; [None]; [0]
-Cn1cc(-c2cccc(NC(=O)O)c2)c(=O)n1C; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2cnccc2N2CCOCC2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
-Nc1nc(-c2cccc(NC(=O)O)c2)nc2ccccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(Cc2cccnc2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(O[C@@H]2CC[C@H](O)CC2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CC(C)(C)CNc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CC(C)(C)Oc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CN(C)c1cc(-c2cccc(NC(=O)O)c2)cnn1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
-COc1ccc(-c2ccccc2)cc1; ['COc1ccc(Cl)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(C)cc1']; ['OB(O)c1ccccc1', 'Cc1ccccc1', 'OB(O)c1ccccc1']; [0.999546468, 0.999546468, 0.999546468]
-COc1ccc(OC)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; [None]; [None]; [0]
-COc1ccc(-c2ccccc2S(=O)(=O)C(C)C)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccccc2-c2nnc(C)[nH]2)cc1; [None]; [None]; [0]
-COc1ccc(CCC(C)(C)OC)cc1; [None]; [None]; [0]
-COc1ccc(C2CCOCC2)cc1; ['COc1ccc(B(O)O)cc1', 'BrC1CCOCC1', 'COc1ccc(Br)cc1', 'COc1ccccc1']; ['IC1CCOCC1', 'COc1ccc([Mg]Br)cc1', 'O=C1CCOCC1', 'O=C1CCOCC1']; [0.999457777, 0.999457777, 0.999457777, 0.999457777]
-COc1ccc([C@H](C)c2cc(F)ccc2OC)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccccc2P(C)(C)=O)cc1; [None]; [None]; [0]
-COc1ccc(-c2csc(C(C)(C)C)n2)cc1; ['CC(C)(C)C(N)=S']; ['COc1ccc(C(=O)CCl)cc1']; [1.0]
-COc1ccc(-c2cccc(C)c2)cc1; ['COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1']; ['Cc1cccc(B(O)O)c1', 'Cc1cccc(I)c1', 'Cc1cccc(Br)c1', 'Cc1cccc(I)c1']; [0.999955893, 0.999955893, 0.999955893, 0.999955893]
-COc1ccc(CC2CCCCC2)cc1; ['BrCC1CCCCC1']; ['COc1ccc(Br)cc1']; [0.989097714]
-COc1ccc(C2CCCCC2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccccc2C(=O)[O-])cc1; [None]; [None]; [0]
-COc1ccc(OCC(=O)C(C)C)cc1; ['CC(C)C(=O)CBr']; ['COc1ccc(O)cc1']; [0.895005763]
-CNc1nc(C)c(-c2ccc(OC)cc2)s1; [None]; [None]; [0]
-COc1ccc([C@@H]2CC[C@@H](CO)OC2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cccc(Cn3cncn3)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2c(C)nc3ccccn23)cc1; ['COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccccc1']; ['Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1']; [0.999912262, 0.999912262, 0.999912262]
-CCC(C)(C)c1ccc(OC)cc1; ['CCC(C)(C)Cl']; ['COc1ccccc1']; [0.998110652]
-COC(=O)[C@@H](N)Cc1ccc(OC)cc1; [None]; [None]; [0]
-COc1ccc(NCCc2c[nH]cn2)cc1; ['COc1ccc(F)cc1', 'COc1ccc(Br)cc1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.987649381, 0.987649381]
-COc1ccc(-c2cccc(CC(=O)[O-])c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['O=C([O-])Cc1ccccc1']; [0.922074914]
-COc1ccc(NCCc2ccccc2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(I)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc([N+](=O)[O-])cc1']; ['OCCc1ccccc1', 'NCCc1ccccc1', 'ClCCc1ccccc1', 'O=CCc1ccccc1', 'N#CCc1ccccc1']; [0.99381, 0.99381, 0.99381, 0.99381, 0.99381]
-CCCCc1ccc(OC)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(cnn3C)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Cl)cc1']; ['Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; [0.999999642, 0.999999642, 0.999999642, 0.999999642]
-COc1ccc(-c2ccc3c(N)[nH]nc3c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1']; ['Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Br)ccc12']; [0.999999166, 0.999999166]
-COc1ccc(-c2ccc(-c3cnn(C)c3)cc2)cc1; ['COc1ccc(-c2ccc(Br)cc2)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999877453]
-COc1ccc(CCC[NH3+])cc1; [None]; [None]; [0]
-COc1ccc(O[C@@H](C)C[NH+](C)C)cc1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(OC)cc2)n1; [None]; [None]; [0]
-COc1ccc([C@@H]2CCC[C@H]([NH3+])C2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnoc2C(C)C)cc1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c(SC)n2)cc1; [None]; [None]; [0]
-COc1ccc(OC(F)(F)F)cc1; []; []; []
-COc1ccc(-c2csc3ncncc23)cc1; [None]; [None]; [0]
-COc1ccc(-c2cn(C)c3ccccc23)cc1; ['COc1ccc(Br)cc1', 'COc1ccc(N)cc1']; ['Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.997454822, 0.997454822]
-CCNc1nc2ccc(-c3ccc(OC)cc3)cc2s1; [None]; [None]; [0]
-COc1ccc(N2CCC(S(C)(=O)=O)CC2)cc1; ['COc1ccc(Cl)cc1']; ['CS(=O)(=O)C1CCNCC1']; [0.998590887]
-COc1ccc([C@@H](C)C(F)(F)F)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnn3ccccc23)cc1; [None]; [None]; [0]
-COc1ccc(NC(=O)NC(C)(C)C)cc1; ['CC(C)(C)N', 'CC(C)(C)N=C=O', 'CC(C)(C)NC(N)=O']; ['COc1ccc(N=C=O)cc1', 'COc1ccc(N)cc1', 'COc1ccc(Cl)cc1']; [0.999826372, 0.999826372, 0.999826372]
-COc1ccc(-c2cc[nH]c(=O)c2)cc1; ['COc1ccc(B(O)O)cc1']; ['O=c1cc(Br)cc[nH]1']; [0.998684704]
-COc1ccc(-c2ccn([C@@H2]CO)c(=O)c2)cc1; [None]; [None]; [0]
-COc1ccc(CCc2cc(OC)cc(OC)c2)cc1; []; []; []
-COc1ccc(-c2ccc(Cl)c(C(=O)[O-])c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]ccc3c2)cc1; ['Brc1cnc2[nH]ccc2c1']; ['COc1ccc(Br)cc1']; [0.964531183]
-CNC(=O)c1c(F)cccc1-c1ccc(OC)cc1; [None]; [None]; [0]
-COc1ccc(C2(C)CCN(S(C)(=O)=O)CC2)cc1; [None]; [None]; [0]
-COc1ccc([C@@H]2CC[C@@H](CCC#N)CC2)cc1; [None]; [None]; [0]
-COc1ccc([C@@H]2CC[C@@H](NC(=O)O)C2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(N3CCOCC3)cc2)cc1; ['C1COCCN1']; ['COc1ccc(-c2ccc(O)cc2)cc1']; [0.863205254]
-COc1ccc(-n2ccc(CO)n2)cc1; ['COc1ccc(I)cc1', 'COc1ccc(Br)cc1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.983126104, 0.983126104]
-COc1ccc(-c2cc(C)nn2-c2cccc(Cl)c2)cc1; [None]; [None]; [0]
-COc1ccc(N[C@@H](C)C(C)(C)C)cc1; [None]; [None]; [0]
-COc1ccc(-n2cnc(CCO)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2nc[nH]n2)cc1; ['COC(OC)N(C)C']; ['COc1ccc(C(N)=O)cc1']; [0.982644737]
-COc1ccc(N[C@@H](C)C(C)(C)O)cc1; [None]; [None]; [0]
-COc1ccc(-c2[nH]cnc2C)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1']; ['Cc1nc[nH]c1Br', 'Cc1c[nH]cn1']; [0.947254896, 0.947254896]
-COc1ccc(-c2ccc(-n3cncn3)cc2)cc1; ['COc1ccc(-c2ccc(Br)cc2)cc1']; ['c1nc[nH]n1']; [0.999749959]
-COc1ccc(N[C@H](C)C(C)(C)O)cc1; [None]; [None]; [0]
-COc1ccc(NCC(C)(C)[NH3+])cc1; [None]; [None]; [0]
-COc1ccc(-c2[nH]c(SC)nc2C)cc1; [None]; [None]; [0]
-COc1ccc(-c2nncn2[C@H](C)CO)cc1; [None]; [None]; [0]
-COc1ccc(CCC(=O)NCc2ccccn2)cc1; ['COc1ccc(CCC(=O)Cl)cc1']; ['NCc1ccccn1']; [0.999945521]
-COc1ccc(-c2nncn2C)cc1; [None]; [None]; [0]
-COc1ccc(-c2nncn2C(C)C)cc1; [None]; [None]; [0]
-CCc1cc(-c2ccc(OC)cc2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1', 'CCc1cc(Cl)nc(N)n1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1']; [0.999999046, 0.999999046]
-COc1ccc(N[C@H](C)C(C)(C)C)cc1; ['COc1ccc(Br)cc1']; ['C[C@@H](N)C(C)(C)C']; [0.991507292]
-COc1ccc(-c2nncn2C2CC2)cc1; [None]; [None]; [0]
-COc1ccc(-c2csc(N3CCOCC3)n2)cc1; ['COc1ccc(C(=O)CBr)cc1']; ['NC(=S)N1CCOCC1']; [1.0]
-COc1ccc(-c2cn(Cc3ccccc3)nn2)cc1; ['BrCc1ccccc1']; ['C#Cc1ccc(OC)cc1']; [1.0]
-CCCCc1cc(-c2ccc(OC)cc2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(OC)cc2)s1; ['CNC(=O)c1ccc(Br)s1', 'CN']; ['COc1ccc(B(O)O)cc1', 'COc1ccc(-c2ccc(C(=O)O)s2)cc1']; [0.999998, 0.999998]
-COc1ccc(-c2cnc(NC(C)=O)[nH]2)cc1; []; []; []
-COc1ccc([C@H]2CCCN2C(N)=O)cc1; [None]; [None]; [0]
-COc1ccc(CC2CCOCC2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ncc3ccccc3n2)cc1; ['COc1ccc(C(=N)N)cc1', 'COc1ccc(CO)cc1']; ['O=Cc1ccccc1I', 'NCc1ccccc1N']; [0.999988914, 0.999988914]
-COc1ccc(-c2ncc3cc[nH]c3n2)cc1; ['COc1ccc(B(O)O)cc1']; ['Clc1ncc2cc[nH]c2n1']; [0.999176085]
-COc1ccc(-c2cnccc2N2CCOCC2)cc1; [None]; [None]; [0]
-COc1ccc(Cc2ccccc2NS(C)(=O)=O)cc1; ['COc1ccc(CCl)cc1']; ['CS(=O)(=O)Nc1ccccc1Br']; [0.989869]
-COc1ccc(-c2cn(C)n(C)c2=O)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnnc(N(C)C)c2)cc1; [None]; [None]; [0]
-COc1ccc(O[C@@H]2CC[C@H](O)CC2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccncc2)nc1-c1ccccc1; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(O)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cccc3ncccc23)nc1-c1ccccc1; [None]; [None]; [0]
-CCc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccccc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Cl)c(O)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2n[nH]c3ccccc23)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cn[nH]c2)nc1-c1ccccc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(-c2c(F)cccc2F)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1ccccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(-c2c(Cl)cccc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
-Cn1c(-c2cnc(N)c(-c3ccccc3)n2)nc2ccccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(Oc2ccc(F)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1nccc(-c2cnc(N)c(-c3ccccc3)n2)n1; [None]; [None]; [0]
-Cc1ncc(-c2cnc(N)c(-c3ccccc3)n2)[nH]1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(O)cc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccccc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cn[nH]c2Cl)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc([C@@H]2C[C@H](O)C2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)[O-])cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cc[nH]c2)nc1-c1ccccc1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(-c3ccccc3)n2)ccc1O; [None]; [None]; [0]
-N#Cc1cnc(-c2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-Nc1ncc(-c2cnccn2)nc1-c1ccccc1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)o1; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-COc1cc(CCc2cnc(N)c(-c3ccccc3)n2)ccc1O; [None]; [None]; [0]
-N#Cc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-Nc1ncc(-c2ccoc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(Br)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-n2ccc(CC(=O)[O-])c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cccs2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(COc2cccc(Cl)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(O)cc2O)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccncn2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(CCCO)nc1-c1ccccc1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-Nc1ncc([C@H](CO)c2ccccc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(COc2ccccc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(F)c(Cl)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(CCc2ccc(Cl)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1C; [None]; [None]; [0]
-Nc1ncc(-c2c(Cl)ccc3c2OCO3)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cc(O)ccc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnc(N)c(-c3ccccc3)n2)c[nH]1; [None]; [None]; [0]
-Nc1ncc(-c2cnc(O)c(Cl)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(Cn2ccccc2=O)nc1-c1ccccc1; [None]; [None]; [0]
-COCCCc1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-COc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1OC; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc(N)c(-c4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnc(N)c(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
-Nc1ncc(-c2nnco2)nc1-c1ccccc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1nnc(-c2cnc(N)c(-c3ccccc3)n2)o1; [None]; [None]; [0]
-Nc1ncc(-c2nc3ccccc3s2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cnc3[nH]ccc3c2)nc1-c1ccccc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(C2CCOCC2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(c2)CC(=O)N3)nc1-c1ccccc1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2cnc(N)c(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-Nc1ncc(-c2cncc(O)c2)nc1-c1ccccc1; [None]; [None]; [0]
-CNc1nccc(-c2cnc(N)c(-c3ccccc3)n2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ncc(F)cn2)nc1-c1ccccc1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Br)o2)nc1-c1ccccc1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-CCc1sccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(c2)CCN3)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cc(Cl)c(O)c(Cl)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-n2ccnc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1cc(-c2cnc(N)c(-c3ccccc3)n2)[nH]n1; [None]; [None]; [0]
-Nc1ncc(-c2nccs2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3[nH]c(=O)[nH]c3c2)nc1-c1ccccc1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(Nc2ccncc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1cc(-c2cnc(N)c(-c3ccccc3)n2)n[nH]1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Br)cc2F)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2[nH]nc3ccc(F)cc23)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2nncs2)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnc(N)c(-c3ccccc3)n2)c1C; [None]; [None]; [0]
-Nc1ncc(-c2cccc([O-])c2)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1csc(-c2cnc(N)c(-c3ccccc3)n2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)c(-c3ccccc3)n2)nc1C; [None]; [None]; [0]
-Nc1ncc(-c2cc(O)cc(Br)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)NC3CC3)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)c(-c3ccccc3)n2)c(C)n1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(-c3ccccc3)n2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc(N)c(-c4ccccc4)n3)cc2o1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(=O)[nH][nH]c3c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cnco2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2[nH]cnc2-c2ccc(F)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(OCc2ccccc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cc(F)c(O)c(F)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(CCc2c[nH]c3ccccc23)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(Oc2ccc(F)cc2F)nc1-c1ccccc1; [None]; [None]; [0]
-CSc1cccc(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-Nc1ncc(Oc2ccccc2F)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(OCc2cccc3ccccc23)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cn[nH]c2-c2ccc(Cl)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(F)cc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(CCc2ccc(F)cc2F)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(Cc2ccc(F)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(OCc2ccc(F)cc2F)nc1-c1ccccc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(NCc2c(F)cccc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cnc(N)c(-c4ccccc4)n3)CC2)c1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ncc3ccccc3n2)nc1-c1ccccc1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-COc1ncccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Cn1nncc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnc(N)c(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(-c3ccccc3)n2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1nn(C)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(O)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cnc3cccnn23)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(NC(=O)C3CC3)c2)nc1-c1ccccc1; [None]; [None]; [0]
-COc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(N3CCOCC3)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2nc3ccccc3[nH]2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-n2ncc3ccccc3c2=O)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1cc(Nc2cnc(N)c(-c3ccccc3)n2)sn1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)Nc3ccccc3)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-Nc1ncc(Nc2ncccn2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(NC(=O)C2CC2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(Cc2nccc3ccccc23)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(F)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Cl)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cn2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(OCCO)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(C3CCNCC3)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(Nc2ccncn2)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(-c3ccccc3)n2)nn1C; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(Cc2ccccc2)nc1-c1ccccc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(F)(F)F)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnc(N)c(-c3ccccc3)n2)s1; [None]; [None]; [0]
-Nc1ncc(Cc2ccccc2O)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(C2CCCCC2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(Cc2ccncc2)nc1-c1ccccc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cnc(N)c(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2cccnc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(Cc2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-Nc1ncc(Cc2cncnc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc([C@H]2CCN(C(=O)c3ccccc3)C2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(C[C@H](O)CO)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cnc(Cl)nc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cncnc2)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Br)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-COc1ccc(Cc2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ccc[nH]2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2c[nH]c3ccccc23)nc1-c1ccccc1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnc(N)c(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2cc(N3CCOCC3)ccn2)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(-c3ccccc3)n2)sn1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(c2)CCO3)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cc3ccccc3cn2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(Cn2ccnc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cc(-c3ccccc3)[nH]n2)nc1-c1ccccc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cnc(N)c(-c4ccccc4)n3)CC2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-Nc1ncc(-c2cccc3c2OCO3)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc([C@@H]2CC[C@@H]([NH3+])CC2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2scc3c2OCCO3)nc1-c1ccccc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2cccnc2Oc2ccccc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(F)c(F)c2)nc1-c1ccccc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-Nc1ncc(-c2cnc3ccccc3c2)nc1-c1ccccc1; [None]; [None]; [0]
-COCCOc1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-Nc1ncc(-c2ccco2)nc1-c1ccccc1; [None]; [None]; [0]
-CC1(COc2cnc(N)c(-c3ccccc3)n2)COC1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(-c3ccccc3)n2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc([C@@H]2CC[C@@H](O)CC2)nc1-c1ccccc1; [None]; [None]; [0]
-CCCCCc1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc([C@H]2CC[C@@H](O)C2)nc1-c1ccccc1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnc(N)c(-c4ccccc4)n3)cc2)CC1; [None]; [None]; [0]
-CC[NH+](CC)c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-COc1ccc(CNc2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc([C@H](CO)Cc2ccccc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(CCCn2cncn2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccsc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ncc(Br)cn2)nc1-c1ccccc1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(-c3ccccc3)n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1ncc(-c2cc3ccccn3n2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Cl)cc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cnc(N)c(-c4ccccc4)n3)ccc2O1; [None]; [None]; [0]
-Nc1ncc(-c2ncc3cccn3n2)nc1-c1ccccc1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cnc(N)c(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
-Nc1ncc(-c2cccc3ccc(O)cc23)nc1-c1ccccc1; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(-c3ccccc3)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(-c3ccccc3)n2)ccc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2ncc(Cl)cn2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(N3CCCCC3)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1nc(Nc2cnc(N)c(-c3ccccc3)n2)sc1C; [None]; [None]; [0]
-COc1cc(F)c(-c2cnc(N)c(-c3ccccc3)n2)cc1OC; [None]; [None]; [0]
-Cc1cc(Nc2cnc(N)c(-c3ccccc3)n2)nn1C; [None]; [None]; [0]
-Cc1ccc(-c2cnc(N)c(-c3ccccc3)n2)o1; [None]; [None]; [0]
-Cc1csc2c(-c3cnc(N)c(-c4ccccc4)n3)ncnc12; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(-c3ccccc3)n2)c(OC)cc1Br; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2ccc(S(=O)(=O)CCO)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(-n3nccn3)c2)nc1-c1ccccc1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnc(N)c(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnc(N)c(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-Nc1ncc(NC(=O)c2ccco2)nc1-c1ccccc1; [None]; [None]; [0]
-COc1ccc2oc(-c3cnc(N)c(-c4ccccc4)n3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2cc(F)cc3c2OCOC3)nc1-c1ccccc1; [None]; [None]; [0]
-CCn1cc(-c2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3cn[nH]c3c2)nc1-c1ccccc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-CC(C)Oc1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(-c2cc3ccccc3o2)nc1-c1ccccc1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-COC(=O)Nc1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(-c2cc(-c3cccnc3)ccn2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ncc3sccc3n2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ncc3cc(Cl)ccc3n2)nc1-c1ccccc1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1nc(-c2cnc(N)c(-c3ccccc3)n2)c2sccc2n1; [None]; [None]; [0]
-COc1ccc2nc(-c3cnc(N)c(-c4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(OC(F)(F)F)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cscn2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)[O-])c(Cl)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(NC(=O)N3CCCC3)c2)nc1-c1ccccc1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cnc(N)c(-c3ccccc3)n2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(OC(F)(F)F)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-CCc1cccc(-c2cnc(N)c(-c3ccccc3)n2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc(N)c(-c4ccccc4)n3)ccc21; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(-c3ccccc3)n2)c2ccccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(N3CCCC3=O)c2)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(-c3ccccc3)n2)cc(C)c1OCCO; [None]; [None]; [0]
-C[NH+](C)CCCc1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnc(N)c(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
-Nc1ncc(C2CCS(=O)(=O)CC2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(CCO)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(C2CCC(F)(F)CC2)nc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(CC2CCOCC2)nc1-c1ccccc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)c(OC)c1; [None]; [None]; [0]
-Nc1ncc(Nc2ccc(F)cn2)nc1-c1ccccc1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(Nc2ccccn2)nc1-c1ccccc1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3nc4ncc(Br)cc4[nH]3)CC2)c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3nc4ncc(Br)cc4[nH]3)c2c1; [None]; [None]; [0]
-Brc1cnc2nc(-c3ncc4ccccc4n3)[nH]c2c1; [None]; [None]; [0]
-Brc1cnc2nc(-c3ccc(N4CCOCC4)cc3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(N2CCOCC2)cc1']; [0.999994278]
-O=C(Nc1cccc(-c2nc3ncc(Br)cc3[nH]2)c1)C1CC1; [None]; [None]; [0]
-Brc1cnc2nc(-c3ccccc3)[nH]c2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2nc3ncc(Br)cc3[nH]2)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-O=C(c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2nc3ncc(Br)cc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-Brc1cnc2nc(Cc3ccccc3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)Cc1ccccc1']; [0.985861063]
-CNS(=O)(=O)Cc1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-Brc1cnc2nc(C3CCCCC3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)C1CCCCC1']; [0.999999523]
-CN(C)S(=O)(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2nc3ncc(Br)cc3[nH]2)cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2nc3ncc(Br)cc3[nH]2)CC1; [None]; [None]; [0]
-Brc1cnc2nc(Cc3cncnc3)[nH]c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2nc3ncc(Br)cc3[nH]2)C1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(-c2nc3ncc(Br)cc3[nH]2)sn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1Cl; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3nc4ncc(Br)cc4[nH]3)CC2)c1; [None]; [None]; [0]
-Brc1cnc2nc(-c3cc(N4CCOCC4)ccn3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2nc3ncc(Br)cc3[nH]2)cc1Cl; [None]; [None]; [0]
-Brc1cnc2nc(-c3cccnc3Oc3ccccc3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cccnc1Oc1ccccc1']; [0.999973059]
-CC(C)(C)NC(=O)Nc1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-Brc1cnc2nc(-c3cc(-c4ccccc4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2nc3ncc(Br)cc3[nH]2)CC1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2nc3ncc(Br)cc3[nH]2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3nc4ncc(Br)cc4[nH]3)cc2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cn1; [None]; [None]; [0]
-Brc1cnc2nc(C3CCOCC3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)C1CCOCC1']; [0.999999881]
-CC[NH+](CC)c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
-CCCCCc1nc2ncc(Br)cc2[nH]1; ['CCCCCC(=O)O']; ['Nc1cc(Br)cnc1N']; [0.999963284]
-Brc1cnc2nc(CCCn3cncn3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(-c2nc3ncc(Br)cc3[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-Brc1cnc2nc(-c3ncc4cccn4n3)[nH]c2c1; [None]; [None]; [0]
-Brc1cnc2nc(-c3ccc(N4CCCCC4)cc3)[nH]c2c1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(N2CCCCC2)cc1']; [0.999998212]
-Brc1cnc2nc(-c3cc4ccccn4n3)[nH]c2c1; [None]; [None]; [0]
-Brc1cnc2nc(-c3cccc(-n4nccn4)c3)[nH]c2c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3nc4ncc(Br)cc4[nH]3)ccc2O1; [None]; [None]; [0]
-Cc1csc2c(-c3nc4ncc(Br)cc4[nH]3)ncnc12; [None]; [None]; [0]
-Clc1cnc(-c2nc3ncc(Br)cc3[nH]2)nc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2nc3ncc(Br)cc3[nH]2)c1; ['COc1ccc(OC)c(CC(=O)O)c1']; ['Nc1cc(Br)cnc1N']; [0.999998927]
-NC(=O)c1ccc(Cc2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1nc2ncc(Br)cc2[nH]1)c1ccco1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-Fc1cc2c(c(-c3nc4ncc(Br)cc4[nH]3)c1)OCOC2; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cc(F)cc2c1OCOC2']; [0.999979734]
-CO[C@@H]1CC[C@@H](c2nc3ncc(Br)cc3[nH]2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2nc3ncc(Br)cc3[nH]2)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2nc3ncc(Br)cc3[nH]2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3nc4ncc(Br)cc4[nH]3)cc2c1; [None]; [None]; [0]
-Brc1cnc2nc(-c3cc(-c4cccnc4)ccn3)[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
-Cc1nc(-c2nc3ncc(Br)cc3[nH]2)c2sccc2n1; [None]; [None]; [0]
-Brc1cnc2nc(-c3ncc4sccc4n3)[nH]c2c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-Clc1ccc2nc(-c3nc4ncc(Br)cc4[nH]3)ncc2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-COc1ccc2nc(-c3nc4ncc(Br)cc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nc3ncc(Br)cc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
-Cn1cc(-c2nc3ncc(Br)cc3[nH]2)c2ccccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2nc3ncc(Br)cc3[nH]2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3nc4ncc(Br)cc4[nH]3)ccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1Cl; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cn1; [None]; [None]; [0]
-Cc1cc(-c2nc3ncc(Br)cc3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
-FC1(F)CCC(c2nc3ncc(Br)cc3[nH]2)CC1; ['Nc1cc(Br)cnc1N']; ['O=C(O)C1CCC(F)(F)CC1']; [0.999999523]
-C[NH+](C)CCCc1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3nc4ncc(Br)cc4[nH]3)ccc12; [None]; [None]; [0]
-Brc1cnc2nc(CC3CCOCC3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-O=S1(=O)CCC(c2nc3ncc(Br)cc3[nH]2)CC1; ['Nc1cc(Br)cnc1N']; ['O=C(O)C1CCS(=O)(=O)CC1']; [0.999996185]
-Cc1cc(N2CCOCC2)ccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)c(OC)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)c(Cl)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3ccccc3)ccc12; ['O=c1[nH]ccc2cc(Br)ccc12']; ['OB(O)c1ccccc1']; [0.999554574]
-CCNC(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc3c(=O)[nH]ccc3c2)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(C3CCOCC3)ccc12; [None]; [None]; [0]
-Cc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1; ['Cc1cccc(B(O)O)c1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999260843]
-CP(C)(=O)c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(C3CCCCC3)ccc12; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc3c(=O)[nH]ccc3c2)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-COc1cnc(-c2ccc3c(=O)[nH]ccc3c2)nc1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(CC3CCCCC3)ccc12; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2c(=O)[nH]ccc2c1; ['Cc1cn2ccccc2n1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999954581]
-O=c1[nH]ccc2cc([C@@H]3CC[C@@H](CO)OC3)ccc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc3c(=O)[nH]ccc3c2)s1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(NCCc3c[nH]cn3)ccc12; ['NCCc1c[nH]cn1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.98294121]
-CCC(C)(C)c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1; [None]; [None]; [0]
-CCCCc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cccc(Cn4cncn4)c3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc4c(=O)[nH]ccc4c3)cc2)cn1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccc4c(=O)[nH]ccc4c3)ccc12; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3c(=O)[nH]ccc3c2)n1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(NCCc3ccccc3)ccc12; ['NCCc1ccccc1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.941007733]
-C[C@@H](C[NH+](C)C)Oc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4c(=O)[nH]ccc4c3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999986053]
-[NH3+][C@H]1CCC[C@@H](c2ccc3c(=O)[nH]ccc3c2)C1; [None]; [None]; [0]
-CSc1nc(-c2ccc3c(=O)[nH]ccc3c2)c[nH]1; [None]; [None]; [0]
-[NH3+]CCCc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3csc4ncncc34)ccc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4c(=O)[nH]ccc4c3)cc2s1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(=O)[nH]ccc3c2)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc3c(=O)[nH]ccc3c2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.878396392]
-O=c1[nH]ccc2cc(OC(F)(F)F)ccc12; [None]; [None]; [0]
-O=c1cc(-c2ccc3c(=O)[nH]ccc3c2)cc[nH]1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cnn4ccccc34)ccc12; [None]; [None]; [0]
-C[C@H](c1ccc2c(=O)[nH]ccc2c1)C(F)(F)F; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-COc1cc(CCc2ccc3c(=O)[nH]ccc3c2)cc(OC)c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cnc4[nH]ccc4c3)ccc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999999404]
-CNC(=O)c1c(F)cccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3ccn([C@@H2]CO)c(=O)c3)ccc12; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc3c(=O)[nH]ccc3c2)C1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc3c(=O)[nH]ccc3c2)CC1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccc3c(=O)[nH]ccc3c2)ccc1Cl; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(=O)[nH]ccc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CC1(c2ccc3c(=O)[nH]ccc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-n3ccc(CO)n3)ccc12; [None]; [None]; [0]
-C[C@H](Nc1ccc2c(=O)[nH]ccc2c1)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.993767858]
-O=c1[nH]ccc2cc(-c3ccc(N4CCOCC4)cc3)ccc12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.999999523]
-C[C@H](Nc1ccc2c(=O)[nH]ccc2c1)C(C)(C)O; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-n3cnc(CCO)c3)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3nc[nH]n3)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3ccc(-n4cncn4)cc3)ccc12; [None]; [None]; [0]
-C[C@@H](Nc1ccc2c(=O)[nH]ccc2c1)C(C)(C)O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3c(=O)[nH]ccc3c2)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=C(CCc1ccc2c(=O)[nH]ccc2c1)NCc1ccccn1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2c(=O)[nH]ccc2c1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.993767858]
-O=c1[nH]ccc2cc(-c3nncn3C3CC3)ccc12; [None]; [None]; [0]
-CCc1cc(-c2ccc3c(=O)[nH]ccc3c2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ccc3c(=O)[nH]ccc3c2)nc(N)n1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cn(Cc4ccccc4)nn3)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3csc(N4CCOCC4)n3)ccc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)s1; ['CNC(=O)c1ccc(Br)s1']; ['O=c1[nH]ccc2cc(Br)ccc12']; [0.98957485]
-NC(=O)N1CCC[C@@H]1c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3ncc4ccccc4n3)ccc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc3c(=O)[nH]ccc3c2)[nH]1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(CC3CCOCC3)ccc12; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3cnccc3N3CCOCC3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(=O)[nH]ccc3c2)c(=O)n1C; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-c3ncc4cc[nH]c4n3)ccc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc3c(=O)[nH]ccc3c2)cnn1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(O[C@@H]3CC[C@H](O)CC3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccncc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cn(C)c3ncnc(N)c23)cn1; [None]; [None]; [0]
-Cn1cc(-c2ccc(O)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cccc3ncccc23)c2c(N)ncnc21; [None]; [None]; [0]
-CCc1ccc(-c2cn(C)c3ncnc(N)c23)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cl)c(O)c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccccc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cn[nH]c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2n[nH]c3ccccc23)c2c(N)ncnc21; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cn(C)c3ncnc(N)c23)cc1; [None]; [None]; [0]
-Cn1cc(-c2c(F)cccc2F)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cc1ccccc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cn1cc(-c2nc3ccccc3n2C)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2c(Cl)cccc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(N)=O)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(N)=O)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(Oc2ccc(F)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1ncc(-c2cn(C)c3ncnc(N)c23)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2ccnc(N)n2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(O)cc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccccc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cn[nH]c2Cl)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc([C@@H]2C[C@H](O)C2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)[O-])cc2)c2c(N)ncnc21; [None]; [None]; [0]
-COc1cc(-c2cn(C)c3ncnc(N)c23)ccc1O; [None]; [None]; [0]
-Cn1cc(-c2cc[nH]c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cnc(C#N)cn2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cnccn2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(C#N)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cn(C)c3ncnc(N)c23)o1; [None]; [None]; [0]
-COc1cc(CCc2cn(C)c3ncnc(N)c23)ccc1O; [None]; [None]; [0]
-Cn1cc(-c2ccoc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(C#N)nc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cccc(Br)c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(COc2cccc(Cl)c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-n2ccc(CC(=O)[O-])c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(CCCO)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cccs2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(O)cc2O)c2c(N)ncnc21; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cn(C)c3ncnc(N)c23)c1; [None]; [None]; [0]
-Cn1cc(-c2ccncn2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(COc2ccccc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(F)c(Cl)c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc([C@H](CO)c2ccccc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(CCc2ccc(Cl)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cc1ccc(-c2cn(C)c3ncnc(N)c23)cc1C; [None]; [None]; [0]
-Cn1cc(-c2cc(O)ccc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2c(Cl)ccc3c2OCO3)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cn1cc(-c2cnc(O)c(Cl)c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c(C(N)=O)c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(Cn2ccccc2=O)c2c(N)ncnc21; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cn(C)c3ncnc(N)c23)c1; [None]; [None]; [0]
-COCCCc1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-COc1ccc(-c2cn(C)c3ncnc(N)c23)cc1OC; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cn(C)c4ncnc(N)c34)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3cn(C)c4ncnc(N)c34)cc2[nH]1; [None]; [None]; [0]
-Cn1cc(-c2nnco2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(NC(N)=O)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1nnc(-c2cn(C)c3ncnc(N)c23)o1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]ccc3c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2nc3ccccc3s2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(S(C)(=O)=O)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(C2CCOCC2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)CC(=O)N3)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cncc(O)c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@H](C(N)=O)CC2)c2c(N)ncnc21; [None]; [None]; [0]
-CNc1nccc(-c2cn(C)c3ncnc(N)c23)n1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cn1cc(-c2ncc(F)cn2)c2c(N)ncnc21; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cn1cc(-c2ccc(Br)o2)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1cccc(C)c1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-CCc1sccc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cn1cc(-n2ccnc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)CCN3)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cc(Cl)c(O)c(Cl)c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2nccs2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc3[nH]c(=O)[nH]c3c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cc(N)n[nH]2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cc(N)[nH]n2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cn1cc(Nc2ccncc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc(Br)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2[nH]nc3ccc(F)cc23)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2nncs2)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1n[nH]c(-c2cn(C)c3ncnc(N)c23)c1C; [None]; [None]; [0]
-Cn1cc(-c2cccc([O-])c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1csc(-c2cn(C)c3ncnc(N)c23)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cn(C)c3ncnc(N)c23)cc1; [None]; [None]; [0]
-Cn1cc(-c2cc(O)cc(Br)c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1ccc(-c2cn(C)c3ncnc(N)c23)nc1C; [None]; [None]; [0]
-Cc1ccc(-c2cn(C)c3ncnc(N)c23)c(C)n1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(=O)NC3CC3)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1nc2ccc(-c3cn(C)c4ncnc(N)c34)cc2o1; [None]; [None]; [0]
-Cc1cc(-c2cn(C)c3ncnc(N)c23)ccc1C(N)=O; [None]; [None]; [0]
-Cn1cc(-c2cnco2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2[nH]cnc2-c2ccc(F)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(=O)[nH][nH]c3c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cc(F)c(O)c(F)c2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(OCc2ccccc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(CCc2c[nH]c3ccccc23)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(Oc2ccc(F)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(Oc2ccccc2F)c2c(N)ncnc21; [None]; [None]; [0]
-CSc1cccc(-c2cn(C)c3ncnc(N)c23)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(F)cc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(OCc2cccc3ccccc23)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
-Cn1cc(Cc2ccc(F)cc2)c2c(N)ncnc21; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccccc2)c1; ['CC(=O)c1cccc(Cl)c1', 'CC(=O)c1cccc(Cl)c1']; ['OB(O)c1ccccc1', 'Cl[Mg]c1ccccc1']; [0.992628157, 0.992628157]
-Cn1cc(CCc2ccc(F)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
-COC(C)(C)CCc1cccc(C(C)=O)c1; [None]; [None]; [0]
-Cn1cc(OCc2ccc(F)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
-Cn1cc(NCc2c(F)cccc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccccc2S(=O)(=O)C(C)C)c1; [None]; [None]; [0]
-CC(=O)c1cccc(C2CCOCC2)c1; ['Br[Zn]C1CCOCC1']; ['CC(=O)c1cccc(Cl)c1']; [0.838325]
-COc1ccc(F)cc1[C@@H](C)c1cccc(C(C)=O)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccccc2-c2nnc(C)[nH]2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cccc(C)c2)c1; ['CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(Br)c1']; ['Cc1cccc(B(O)O)c1', 'Cc1cccc(Br)c1', 'Cc1cccc(I)c1', 'Cc1cccc(Br)c1', 'Cc1cccc(B(O)O)c1', 'Cc1cccc(I)c1']; [0.997879386, 0.997879386, 0.997879386, 0.997879386, 0.997879386, 0.997879386]
-CC(=O)c1cccc(-c2csc(C(C)(C)C)n2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(C2CCCCC2)c1; ['BrC1CCCCC1']; ['CC(=O)c1cccc(Br)c1']; [0.95988965]
-CC(=O)c1cccc(-c2ccccc2P(C)(C)=O)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccccc2C(=O)[O-])c1; [None]; [None]; [0]
-COc1cnc(-c2cccc(C(C)=O)c2)nc1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2c(C)nc3ccccn23)c1; ['CC(=O)c1cccc(Br)c1']; ['Cc1cn2ccccc2n1']; [0.99966681]
-CC(=O)c1cccc(CC2CCCCC2)c1; [None]; [None]; [0]
-CC(=O)c1cccc([C@@H]2CC[C@@H](CO)OC2)c1; [None]; [None]; [0]
-CCC(C)(C)c1cccc(C(C)=O)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc(C(C)=O)c2)s1; [None]; [None]; [0]
-CC(=O)c1cccc(NCCc2c[nH]cn2)c1; ['CC(=O)c1cccc(Br)c1']; ['NCCc1c[nH]cn1']; [0.850904047]
-CC(=O)c1cccc(OCC(=O)C(C)C)c1; ['CC(=O)c1cccc(O)c1']; ['CC(C)C(=O)CBr']; [0.996795]
-CCCCc1cccc(C(C)=O)c1; ['CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(Cl)c1']; ['CCCCBr', 'CCCCI', 'CCCC[Mg]Br']; [0.964311779, 0.964311779, 0.964311779]
-CC(=O)c1cccc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cccc(CC(=O)[O-])c2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccc3c(N)[nH]nc3c2)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cccc(C(C)=O)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccc(-c3cnn(C)c3)cc2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(NCCc2ccccc2)c1; ['CC(=O)c1cccc(Br)c1']; ['NCCc1ccccc1']; [0.791350186]
-CC(=O)c1cccc(O[C@@H](C)C[NH+](C)C)c1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(C(C)=O)c2)n1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccc3c(cnn3C)c2)c1; ['CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(Br)c1', 'CC(=O)c1cccc(Cl)c1', 'CC(=O)c1cccc(B(O)O)c1']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.999987245, 0.999987245, 0.999987245, 0.999987245]
-CSc1nc(-c2cccc(C(C)=O)c2)c[nH]1; [None]; [None]; [0]
-CC(=O)c1cccc(CCC[NH3+])c1; [None]; [None]; [0]
-CC(=O)c1cccc([C@@H]2CCC[C@H]([NH3+])C2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cnoc2C(C)C)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc(C(C)=O)c3)cc2s1; [None]; [None]; [0]
-CC(=O)c1cccc(N2CCC(S(C)(=O)=O)CC2)c1; ['CC(=O)c1cccc(I)c1', 'CC(=O)c1cccc(Cl)c1']; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; [0.999674678, 0.999674678]
-CC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2csc3ncncc23)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cn(C)c3ccccc23)c1; ['CC(=O)c1cccc(Br)c1']; ['Cn1ccc2ccccc21']; [0.99966]
-CC(=O)c1cccc([C@@H](C)C(F)(F)F)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cc[nH]c(=O)c2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccn([C@@H2]CO)c(=O)c2)c1; [None]; [None]; [0]
-COc1cc(CCc2cccc(C(C)=O)c2)cc(OC)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cnc3[nH]ccc3c2)c1; ['CC(=O)c1cccc(Br)c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; [0.999996543]
-CC(=O)c1cccc(-c2ccc(Cl)c(C(=O)[O-])c2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(NC(=O)NC(C)(C)C)c1; ['CC(=O)c1cccc(N=C=O)c1', 'CC(=O)c1cccc(N)c1']; ['CC(C)(C)N', 'CC(C)(C)NC=O']; [0.998648, 0.998648]
-CC(=O)c1cccc([C@@H]2CC[C@@H](CCC#N)CC2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(C2(C)CCN(S(C)(=O)=O)CC2)c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccc(C(C)=O)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ccc(N3CCOCC3)cc2)c1; ['CC(=O)c1cccc(Br)c1', 'Brc1ccc(N2CCOCC2)cc1', 'CC(=O)c1cccc(B(O)O)c1', 'CC(=O)c1cccc(Cl)c1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999999642, 0.999999642, 0.999999642, 0.999999642]
-CC(=O)c1cccc(-n2cnc(CCO)c2)c1; ['CC(=O)c1cccc(F)c1']; ['OCCc1c[nH]cn1']; [0.975404203]
-CC(=O)c1cccc([C@@H]2CC[C@@H](NC(=O)O)C2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-n2ccc(CO)n2)c1; ['CC(=O)c1cccc(I)c1']; ['OCc1cc[nH]n1']; [0.990308583]
-CC(=O)c1cccc(N[C@@H](C)C(C)(C)O)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cc(C)nn2-c2cccc(Cl)c2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(N[C@H](C)C(C)(C)O)c1; [None]; [None]; [0]
-CC(=O)c1cccc(N[C@@H](C)C(C)(C)C)c1; ['CC(=O)c1cccc(Br)c1']; ['C[C@H](N)C(C)(C)C']; [0.964696705]
-CC(=O)c1cccc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc(C(C)=O)c2)[nH]1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2nncn2C(C)C)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2nc[nH]n2)c1; ['CC(=O)c1cccc(C(N)=O)c1']; ['COC(OC)N(C)C']; [0.971838892]
-CC(=O)c1cccc(NCC(C)(C)[NH3+])c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2[nH]cnc2C)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['Cc1nc[nH]c1Cl']; [0.972826958]
-CC(=O)c1cccc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2nncn2C)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2nncn2[C@H](C)CO)c1; [None]; [None]; [0]
-CC(=O)c1cccc(N[C@H](C)C(C)(C)C)c1; ['CC(=O)c1cccc(F)c1']; ['C[C@@H](N)C(C)(C)C']; [0.866205812]
-CCCCc1cc(-c2cccc(C(C)=O)c2)nc(N)n1; [None]; [None]; [0]
-CC(=O)c1cccc(CCC(=O)NCc2ccccn2)c1; [None]; [None]; [0]
-CCc1cc(-c2cccc(C(C)=O)c2)nc(N)n1; ['CC(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['CCc1cc(Cl)nc(N)n1']; [0.999992728]
-CC(=O)c1cccc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(C(C)=O)c2)s1; ['CC(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['CNC(=O)c1ccc(Br)s1']; [0.999998808]
-CC(=O)c1cccc([C@H]2CCCN2C(N)=O)c1; [None]; [None]; [0]
-CC(=O)c1cccc(CC2CCOCC2)c1; ['CC(=O)c1cccc(I)c1']; ['ICC1CCOCC1']; [0.994972]
-CC(=O)c1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2csc(N3CCOCC3)n2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cn(C)n(C)c2=O)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2ncc3cc[nH]c3n2)c1; ['CC(=O)c1cccc(B(O)O)c1']; ['Clc1ncc2cc[nH]c2n1']; [0.998982728]
-CC(=O)Nc1ncc(-c2cccc(C(C)=O)c2)[nH]1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cnccc2N2CCOCC2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(O[C@@H]2CC[C@H](O)CC2)c1; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cnnc(N(C)C)c2)c1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1ccccc1; ['OB(O)c1ccccc1']; ['Oc1ccc(Br)cc1Br']; [0.974465787]
-CC(=O)c1cccc(Cc2ccccc2NS(C)(=O)=O)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc(Br)ccc2O)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1cc(Br)ccc1O; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-Oc1ccc(Br)cc1C1CCOCC1; ['C1=CCOCC1']; ['Oc1ccc(Br)cc1']; [0.823806405]
-O=C([O-])c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc(Br)ccc1O; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc(Br)ccc2O)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1cc(Br)ccc1O']; [0.999998]
-COc1cnc(-c2cc(Br)ccc2O)nc1; [None]; [None]; [0]
-Cc1cccc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cc(Br)ccc2O)CO1; [None]; [None]; [0]
-Oc1ccc(Br)cc1C1CCCCC1; ['C1=CCCCC1']; ['Oc1ccc(Br)cc1']; [0.774590671]
-Oc1ccc(Br)cc1CC1CCCCC1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc(Br)ccc1O; [None]; [None]; [0]
-CC(C)C(=O)COc1cc(Br)ccc1O; [None]; [None]; [0]
-CCC(C)(C)c1cc(Br)ccc1O; []; []; []
-Oc1ccc(Br)cc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc(Br)ccc2O)s1; [None]; [None]; [0]
-Oc1ccc(Br)cc1NCCc1c[nH]cn1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
-CCCCc1cc(Br)ccc1O; ['CCCC[Mg]Br']; ['Oc1ccc(Br)cc1Br']; [0.993611634]
-COC(=O)[C@@H](N)Cc1cc(Br)ccc1O; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cc(Br)ccc3O)cc2)cn1; [None]; [None]; [0]
-Oc1ccc(Br)cc1NCCc1ccccc1; ['BrCCc1ccccc1']; ['Nc1cc(Br)ccc1O']; [0.96004957]
-Nc1[nH]nc2cc(-c3cc(Br)ccc3O)ccc12; [None]; [None]; [0]
-CCCn1cnc(-c2cc(Br)ccc2O)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(Br)ccc3O)ccc21; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; ['Oc1ccc(Br)cc1I', 'Oc1ccc(Br)cc1Br']; [0.999995828, 0.999995828]
-C[C@@H](C[NH+](C)C)Oc1cc(Br)ccc1O; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cc(Br)ccc2O)C1; [None]; [None]; [0]
-CSc1nc(-c2cc(Br)ccc2O)c[nH]1; [None]; [None]; [0]
-[NH3+]CCCc1cc(Br)ccc1O; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc(Br)ccc3O)cc2s1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1csc2ncncc12; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cc(Br)ccc2O)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Oc1ccc(Br)cc1F', 'Oc1ccc(Br)cc1Br']; [0.999628663, 0.999628663]
-CC(C)c1oncc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-Oc1ccc(Br)cc1OC(F)(F)F; []; []; []
-Cn1cc(-c2cc(Br)ccc2O)c2ccccc21; [None]; [None]; [0]
-C[C@H](c1cc(Br)ccc1O)C(F)(F)F; [None]; [None]; [0]
-O=c1cc(-c2cc(Br)ccc2O)cc[nH]1; [None]; [None]; [0]
-O=c1cc(-c2cc(Br)ccc2O)ccn1[C@@H2]CO; [None]; [None]; [0]
-COc1cc(CCc2cc(Br)ccc2O)cc(OC)c1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1cnn2ccccc12; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc(Br)ccc1O; ['CC(C)(C)N=C=O']; ['Nc1cc(Br)ccc1O']; [0.999664664]
-Oc1ccc(Br)cc1-c1cnc2[nH]ccc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Oc1ccc(Br)cc1Br']; [0.999984145]
-O=C([O-])c1cc(-c2cc(Br)ccc2O)ccc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-CC1(c2cc(Br)ccc2O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cc(Br)ccc2O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cc(Br)ccc2O)C1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1ccc(N2CCOCC2)cc1; ['OB(O)c1ccc(N2CCOCC2)cc1']; ['Oc1ccc(Br)cc1I']; [0.999098659]
-OCc1ccn(-c2cc(Br)ccc2O)n1; ['OCc1cc[nH]n1']; ['Oc1ccc(Br)cc1Br']; [0.996171296]
-Cc1cc(-c2cc(Br)ccc2O)n(-c2cccc(Cl)c2)n1; ['Cc1cc(=O)c2cc(Br)ccc2o1', 'CC(=O)CC(=O)c1cc(Br)ccc1O']; ['NNc1cccc(Cl)c1', 'NNc1cccc(Cl)c1']; [0.999997854, 0.999997854]
-OCCc1cn(-c2cc(Br)ccc2O)cn1; [None]; [None]; [0]
-C[C@H](Nc1cc(Br)ccc1O)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Oc1ccc(Br)cc1Br']; [0.923533678]
-C[C@H](Nc1cc(Br)ccc1O)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cc(Br)ccc1O)C(C)(C)O; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1nc[nH]n1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc(Br)ccc2O)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cc(Br)ccc1O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cc(Br)ccc1O; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-Cn1cnnc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-C[C@@H](Nc1cc(Br)ccc1O)C(C)(C)C; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cc(Br)ccc1O; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1nncn1C1CC1; [None]; [None]; [0]
-O=C(CCc1cc(Br)ccc1O)NCc1ccccn1; [None]; [None]; [0]
-CCCCc1cc(-c2cc(Br)ccc2O)nc(N)n1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-CCc1cc(-c2cc(Br)ccc2O)nc(N)n1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1csc(N2CCOCC2)n1; ['NC(=S)N1CCOCC1']; ['O=C(CBr)c1cc(Br)ccc1O']; [0.999999762]
-CNC(=O)c1ccc(-c2cc(Br)ccc2O)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc(Br)ccc2O)[nH]1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cc(Br)ccc1O; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-Oc1ccc(Br)cc1CC1CCOCC1; [None]; [None]; [0]
-Oc1ccc(Br)cc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-Cn1cc(-c2cc(Br)ccc2O)c(=O)n1C; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc(Br)ccc1O; [None]; [None]; [0]
-CN(C)c1cc(-c2cc(Br)ccc2O)cnn1; [None]; [None]; [0]
-Oc1ccc(Br)cc1O[C@@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc(C(F)(F)F)c2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(C2CCOCC2)c1; ['FC(F)(F)c1cccc(Br)c1']; ['IC1CCOCC1']; [0.999716222]
-COC(C)(C)CCc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc(C(F)(F)F)c2)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1cccc(C(F)(F)F)c1']; [0.999999166]
-COc1ccc(F)cc1[C@@H](C)c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-Cc1cccc(-c2cccc(C(F)(F)F)c2)c1; ['Cc1cccc(Br)c1']; ['FC(F)(F)c1cccc(Br)c1']; [0.969785511]
-O=C([O-])c1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(CC2CCCCC2)c1; ['BrCC1CCCCC1']; ['FC(F)(F)c1cccc(Br)c1']; [0.976848602]
-FC(F)(F)c1cccc(C2CCCCC2)c1; ['Br[Mg]C1CCCCC1', 'FC(F)(F)c1cccc([Mg]Br)c1']; ['FC(F)(F)c1cccc(Br)c1', 'IC1CCCCC1']; [0.9969998, 0.9969998]
-OC[C@@H]1CC[C@@H](c2cccc(C(F)(F)F)c2)CO1; [None]; [None]; [0]
-CC(C)C(=O)COc1cccc(C(F)(F)F)c1; ['CC(C)C(=O)CBr']; ['Oc1cccc(C(F)(F)F)c1']; [0.998936236]
-CNc1nc(C)c(-c2cccc(C(F)(F)F)c2)s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc(C(F)(F)F)c1; ['Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1']; [0.999932528, 0.999932528]
-FC(F)(F)c1cccc(NCCc2c[nH]cn2)c1; ['FC(F)(F)c1cccc(Br)c1']; ['NCCc1c[nH]cn1']; [0.957111895]
-CCC(C)(C)c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
-CCCCc1cccc(C(F)(F)F)c1; ['CCCC[Mg]Br', 'CCCC[Mg]Cl', 'CCCCBr']; ['FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.997500837, 0.997500837, 0.997500837]
-COC(=O)[C@@H](N)Cc1cccc(C(F)(F)F)c1; []; []; []
-O=C([O-])Cc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(NCCc2ccccc2)c1; ['FC(F)(F)c1cccc(Br)c1', 'O=CCc1ccccc1', 'C=Cc1ccccc1']; ['NCCc1ccccc1', 'O=[N+]([O-])c1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1']; [0.98815155, 0.98815155, 0.98815155]
-Nc1[nH]nc2cc(-c3cccc(C(F)(F)F)c3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999951243]
-Cn1cc(-c2ccc(-c3cccc(C(F)(F)F)c3)cc2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['FC(F)(F)c1cccc(-c2ccc(Cl)cc2)c1']; [0.999996543]
-Cn1ncc2cc(-c3cccc(C(F)(F)F)c3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['FC(F)(F)c1cccc(Cl)c1']; [0.999991775]
-C[C@@H](C[NH+](C)C)Oc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-[NH3+]CCCc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-CSc1nc(-c2cccc(C(F)(F)F)c2)c[nH]1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc(C(F)(F)F)c3)cc2s1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cccc(C(F)(F)F)c2)C1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccc(C(F)(F)F)c2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['FC(F)(F)c1cccc(Cl)c1', 'Fc1cccc(C(F)(F)F)c1']; [0.999842167, 0.999842167]
-FC(F)(F)Oc1cccc(C(F)(F)F)c1; ['FC(F)(F)Oc1cccc(I)c1']; ['FC(F)(F)[Cu]']; [0.999366]
-FC(F)(F)c1cccc(-c2csc3ncncc23)c1; [None]; [None]; [0]
-C[C@H](c1cccc(C(F)(F)F)c1)C(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2cccc(C(F)(F)F)c2)c2ccccc21; ['Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; ['FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999991059, 0.999991059]
-O=c1cc(-c2cccc(C(F)(F)F)c2)cc[nH]1; [None]; [None]; [0]
-COc1cc(CCc2cccc(C(F)(F)F)c2)cc(OC)c1; ['COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1']; ['FC(F)(F)c1cccc(CCBr)c1', 'FC(F)(F)c1cccc(CCBr)c1']; [0.9928388, 0.9928388]
-O=c1cc(-c2cccc(C(F)(F)F)c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccc(C(F)(F)F)c1; ['CC(C)(C)N=C=O']; ['Nc1cccc(C(F)(F)F)c1']; [0.999855757]
-O=C([O-])c1cc(-c2cccc(C(F)(F)F)c2)ccc1Cl; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cnc3[nH]ccc3c2)c1; ['Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.999914169, 0.999914169]
-CNC(=O)c1c(F)cccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
-CC1(c2cccc(C(F)(F)F)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cccc(C(F)(F)F)c2)C1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ccc(N3CCOCC3)cc2)c1; ['C1COCCN1']; ['FC(F)(F)c1cccc(-c2ccc(Cl)cc2)c1']; [0.999695539]
-OCc1ccn(-c2cccc(C(F)(F)F)c2)n1; ['FC(F)(F)c1cccc(I)c1']; ['OCc1cc[nH]n1']; [0.999910474]
-Cc1cc(-c2cccc(C(F)(F)F)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCCc1cn(-c2cccc(C(F)(F)F)c2)cn1; [None]; [None]; [0]
-C[C@H](Nc1cccc(C(F)(F)F)c1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cccc(C(F)(F)F)c1)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Nc1cccc(C(F)(F)F)c1']; [0.998530388]
-C[C@@H](Nc1cccc(C(F)(F)F)c1)C(C)(C)O; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2nc[nH]n2)c1; ['COC(OC)N(C)C']; ['NC(=O)c1cccc(C(F)(F)F)c1']; [0.956019878]
-Cc1nc[nH]c1-c1cccc(C(F)(F)F)c1; ['Cc1cnc[nH]1', 'Cc1c[nH]cn1']; ['FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(I)c1']; [0.994802833, 0.994802833]
-FC(F)(F)c1cccc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc(C(F)(F)F)c2)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-O=C(CCc1cccc(C(F)(F)F)c1)NCc1ccccn1; ['CCOC(=O)CCc1cccc(C(F)(F)F)c1']; ['NCc1ccccn1']; [0.999518633]
-CC(C)n1cnnc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-Cn1cnnc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-CCc1cc(-c2cccc(C(F)(F)F)c2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999934196]
-C[C@@H](Nc1cccc(C(F)(F)F)c1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C', 'C[C@@H](N)C(C)(C)C']; ['FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.999546468, 0.999546468]
-FC(F)(F)c1cccc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2csc(N3CCOCC3)n2)c1; ['CC(=O)c1cccc(C(F)(F)F)c1']; ['NC(=S)N1CCOCC1']; [0.999999881]
-FC(F)(F)c1cccc(-c2cn(Cc3ccccc3)nn2)c1; ['C#Cc1cccc(C(F)(F)F)c1', 'BrCc1ccccc1']; ['ClCc1ccccc1', 'C#Cc1cccc(C(F)(F)F)c1']; [1.0, 1.0]
-CCCCc1cc(-c2cccc(C(F)(F)F)c2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(C(F)(F)F)c2)s1; ['CNC(=O)c1ccc(Br)s1']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.999998569]
-NC(=O)N1CCC[C@@H]1c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc(C(F)(F)F)c2)[nH]1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ncc3ccccc3n2)c1; ['N=C(N)c1cccc(C(F)(F)F)c1']; ['O=Cc1ccccc1I']; [0.999995828]
-FC(F)(F)c1cccc(CC2CCOCC2)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ncc3cc[nH]c3n2)c1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['Clc1ncc2cc[nH]c2n1']; [0.999996781]
-FC(F)(F)c1cccc(-c2cnccc2N2CCOCC2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccc(C(F)(F)F)c1; ['CS(=O)(=O)Nc1ccccc1']; ['FC(F)(F)c1cccc(CBr)c1']; [0.968759537]
-CN(C)c1cc(-c2cccc(C(F)(F)F)c2)cnn1; [None]; [None]; [0]
-Cn1cc(-c2cccc(C(F)(F)F)c2)c(=O)n1C; [None]; [None]; [0]
-COC(C)(C)CCc1cc(Cl)ccc1O; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1ccccc1; ['F[B-](F)(F)c1ccccc1']; ['Oc1ccc(Cl)cc1I']; [0.99352783]
-Cc1nnc(-c2ccccc2-c2cc(Cl)ccc2O)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1C1CCOCC1; ['BrC1CCOCC1']; ['Oc1ccc(Cl)cc1Br']; [0.987043321]
-Cc1cccc(-c2cc(Cl)ccc2O)c1; ['Cc1cccc(B(O)O)c1', 'Cc1cccc(Br)c1']; ['Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O']; [0.996756852, 0.996756852]
-Oc1ccc(Cl)cc1C1CCCCC1; ['C1=CCCCC1', 'BrC1CCCCC1']; ['Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1']; [0.834216714, 0.834216714]
-CP(C)(=O)c1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc(Cl)ccc2O)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1cc(Cl)ccc1O']; [0.999996424]
-O=C([O-])c1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1CC1CCCCC1; ['OCC1CCCCC1']; ['Oc1ccc(Cl)cc1']; [0.933211863]
-COc1cnc(-c2cc(Cl)ccc2O)nc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cc(Cl)ccc2O)CO1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc(Cl)ccc2O)s1; [None]; [None]; [0]
-CCC(C)(C)c1cc(Cl)ccc1O; ['CCC(C)(C)Cl', 'CCC(C)(C)O']; ['Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1']; [0.983648777, 0.983648777]
-CC(C)C(=O)COc1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1NCCc1c[nH]cn1; ['NCCc1c[nH]cn1']; ['Oc1ccc(Cl)cc1Br']; [0.955139041]
-O=C([O-])Cc1cccc(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-CCCCc1cc(Cl)ccc1O; ['CCCC[Mg]Br']; ['Oc1ccc(Cl)cc1Br']; [0.978356779]
-COC(=O)[C@@H](N)Cc1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1NCCc1ccccc1; ['NCCc1ccccc1', 'ICCc1ccccc1']; ['Oc1ccc(Cl)cc1Br', 'Nc1cc(Cl)ccc1O']; [0.968504608, 0.968504608]
-Nc1[nH]nc2cc(-c3cc(Cl)ccc3O)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['OB(O)c1cc(Cl)ccc1O']; [0.89637363]
-Cn1cc(-c2ccc(-c3cc(Cl)ccc3O)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(Cl)ccc3O)ccc21; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Oc1ccc(Cl)cc1Br', 'OB(O)c1cc(Cl)ccc1O']; [0.999961853, 0.999961853]
-[NH3+]CCCc1cc(Cl)ccc1O; [None]; [None]; [0]
-CCCn1cnc(-c2cc(Cl)ccc2O)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cc(Cl)ccc1O; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-CSc1nc(-c2cc(Cl)ccc2O)c[nH]1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cc(Cl)ccc2O)C1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1OC(F)(F)F; []; []; []
-CCNc1nc2ccc(-c3cc(Cl)ccc3O)cc2s1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1csc2ncncc12; [None]; [None]; [0]
-C[C@H](c1cc(Cl)ccc1O)C(F)(F)F; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cc(Cl)ccc2O)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Oc1ccc(Cl)cc1Br', 'Oc1ccc(Cl)cc1F']; [0.999478877, 0.999478877]
-Cn1cc(-c2cc(Cl)ccc2O)c2ccccc21; ['Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; ['Oc1ccc(Cl)cc1I', 'Oc1ccc(Cl)cc1']; [0.966419816, 0.966419816]
-O=c1cc(-c2cc(Cl)ccc2O)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(-c2cc(Cl)ccc2O)cc[nH]1; ['O=c1cc(Br)cc[nH]1']; ['OB(O)c1cc(Cl)ccc1O']; [0.97777164]
-Oc1ccc(Cl)cc1-c1cnn2ccccc12; [None]; [None]; [0]
-COc1cc(CCc2cc(Cl)ccc2O)cc(OC)c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cc(Cl)ccc2O)ccc1Cl; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1cnc2[nH]ccc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Oc1ccc(Cl)cc1Br']; [0.99998939]
-CNC(=O)c1c(F)cccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cc(Cl)ccc2O)C1; [None]; [None]; [0]
-CC1(c2cc(Cl)ccc2O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cc(-c2cc(Cl)ccc2O)n(-c2cccc(Cl)c2)n1; ['CC(=O)CC(=O)c1cc(Cl)ccc1O']; ['NNc1cccc(Cl)c1']; [0.999901891]
-N#CCC[C@@H]1CC[C@@H](c2cc(Cl)ccc2O)CC1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-C[C@H](Nc1cc(Cl)ccc1O)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Oc1ccc(Cl)cc1Br']; [0.936251163]
-OCCc1cn(-c2cc(Cl)ccc2O)cn1; [None]; [None]; [0]
-OCc1ccn(-c2cc(Cl)ccc2O)n1; [None]; [None]; [0]
-C[C@H](Nc1cc(Cl)ccc1O)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cc(Cl)ccc1O)C(C)(C)O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1nc[nH]n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc(Cl)ccc2O)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cc(Cl)ccc1O; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1nncn1C1CC1; [None]; [None]; [0]
-Cn1cnnc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
-C[C@@H](Nc1cc(Cl)ccc1O)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Oc1ccc(Cl)cc1Br']; [0.936251163]
-O=C(CCc1cc(Cl)ccc1O)NCc1ccccn1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-CCc1cc(-c2cc(Cl)ccc2O)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['OB(O)c1cc(Cl)ccc1O']; [0.992330551]
-Oc1ccc(Cl)cc1-c1csc(N2CCOCC2)n1; ['CC(=O)c1cc(Cl)ccc1O']; ['NC(=S)N1CCOCC1']; [0.999982595]
-CNC(=O)c1ccc(-c2cc(Cl)ccc2O)s1; ['CNC(=O)c1ccc(Br)s1']; ['OB(O)c1cc(Cl)ccc1O']; [0.998855948]
-CCCCc1cc(-c2cc(Cl)ccc2O)nc(N)n1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1CC1CCOCC1; ['OCC1CCOCC1', 'O=C(Cl)C1CCOCC1']; ['Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1']; [0.971148431, 0.971148431]
-CC(=O)Nc1ncc(-c2cc(Cl)ccc2O)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cc(Cl)ccc2O)c(=O)n1C; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-Oc1ccc(Cl)cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc(Cl)ccc1O; [None]; [None]; [0]
-Oc1ccc(Cl)cc1O[C@@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3ccccc3)nc12; ['Oc1cccc2cccnc12']; ['[Li]c1ccccc1']; [0.857919633]
-Oc1ccc(Cl)cc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-Cc1ccccc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc(Cl)ccc2O)cnn1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Cn1c(-c2ccc3cccc(O)c3n2)nc2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3cccc(O)c3n2)c(F)c1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3cn[nH]c3Cl)nc12; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
-Oc1cccc2ccc(CCc3ccc(Cl)cc3)nc12; ['Cc1ccc2cccc(O)c2n1']; ['OCc1ccc(Cl)cc1']; [0.757528245]
-COCCCc1ccc2cccc(O)c2n1; ['COCCCBr']; ['Oc1cccc2cccnc12']; [0.982984304]
-NC(=O)c1cc(-c2ccc3cccc(O)c3n2)c[nH]1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3c(Cl)ccc4c3OCO4)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(-c3nnco3)nc12; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc4cccc(O)c4n3)ccc12; [None]; [None]; [0]
-Cc1nnc(-c2ccc3cccc(O)c3n2)o1; [None]; [None]; [0]
-Oc1cccc2ccc(C3CCOCC3)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(-c3cnc4[nH]ccc4c3)nc12; [None]; [None]; [0]
-CNc1nccc(-c2ccc3cccc(O)c3n2)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3ncc(F)cn3)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(-c3ccc(Br)o3)nc12; [None]; [None]; [0]
-Nc1cc(-c2ccc3cccc(O)c3n2)n[nH]1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3[nH]nc4ccc(F)cc34)nc12; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-Oc1cccc2ccc(-c3nncs3)nc12; [None]; [None]; [0]
-[O-]c1cccc(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3cccc(O)c3n2)c1C; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc3cccc(O)c3n2)ccc1C(N)=O; [None]; [None]; [0]
-Oc1cccc2ccc(OCc3cccc4ccccc34)nc12; ['BrCc1cccc2ccccc12']; ['O=c1ccc2cccc(O)c2[nH]1']; [0.992751122]
-Oc1cccc2ccc(CCc3c[nH]c4ccccc34)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)nc12; [None]; [None]; [0]
-Oc1cccc2ccc(OCc3ccc(F)cc3F)nc12; ['Fc1ccc(CBr)c(F)c1']; ['O=c1ccc2cccc(O)c2[nH]1']; [0.999494791]
-Oc1cccc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)nc12; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2ccccc2)c1; ['O=S(=O)(Oc1ccccc1)C(F)(F)F', 'FC(F)(F)Oc1cccc(Br)c1', 'Brc1ccccc1', 'FC(F)(F)Oc1cccc(Cl)c1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1ccccc1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1ccccc1']; [0.999976873, 0.999976873, 0.999976873, 0.999976873]
-Cc1onc(-c2ccccc2)c1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
-COC(C)(C)CCc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Oc1cccc2ccc(CCc3ccc(F)cc3F)nc12; ['Cc1ccc2cccc(O)c2n1']; ['OCc1ccc(F)cc1F']; [0.879925489]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(C2CCOCC2)c1; ['FC(F)(F)Oc1cccc(Br)c1', 'BrC1CCOCC1']; ['IC1CCOCC1', 'FC(F)(F)Oc1cccc(Br)c1']; [0.999937534, 0.999937534]
-COc1ccc(F)cc1[C@@H](C)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1cccc(-c2cccc(OC(F)(F)F)c2)c1; ['Cc1cccc(I)c1', 'Cc1cccc(Br)c1', 'Cc1cccc(B(O)O)c1', 'Cc1cccc(I)c1', 'Cc1cccc(Cl)c1', 'Cc1cccc(B(O)O)c1']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(I)c1', 'FC(F)(F)Oc1cccc(I)c1', 'FC(F)(F)Oc1cccc(Br)c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Cl)c1']; [0.999964237, 0.999964237, 0.999964237, 0.999964237, 0.999964237, 0.999964237]
-Cc1nnc(-c2ccccc2-c2cccc(OC(F)(F)F)c2)[nH]1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(C2CCCCC2)c1; ['BrC1CCCCC1', 'FC(F)(F)Oc1cccc([Mg]Br)c1']; ['FC(F)(F)Oc1cccc(Br)c1', 'IC1CCCCC1']; [0.99754411, 0.99754411]
-CC(C)(C)c1nc(-c2cccc(OC(F)(F)F)c2)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1cccc(OC(F)(F)F)c1']; [1.0]
-CP(C)(=O)c1ccccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-COc1cnc(-c2cccc(OC(F)(F)F)c2)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.999876738]
-FC(F)(F)Oc1cccc(CC2CCCCC2)c1; ['FC(F)(F)Oc1cccc(Br)c1']; ['OB(O)CC1CCCCC1']; [0.999840379]
-Cc1nc2ccccn2c1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc(OC(F)(F)F)c2)s1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cccc(OC(F)(F)F)c2)CO1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(NCCc2c[nH]cn2)c1; ['FC(F)(F)Oc1cccc(Br)c1', 'FC(F)(F)Oc1cccc(I)c1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.999028325, 0.999028325]
-CC(C)C(=O)COc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CCC(C)(C)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CCCCc1cccc(OC(F)(F)F)c1; ['CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C', 'C=CCC']; ['CCCCI', 'FC(F)(F)Oc1cccc(I)c1']; [0.999802649, 0.999802649]
-FC(F)(F)Oc1cccc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cccc(OC(F)(F)F)c3)ccc12; ['CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.999999881]
-COC(=O)[C@@H](N)Cc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(NCCc2ccccc2)c1; ['BrCCc1ccccc1', 'FC(F)(F)Oc1cccc(Cl)c1']; ['Nc1cccc(OC(F)(F)F)c1', 'NCCc1ccccc1']; [0.998323739, 0.998323739]
-Cn1cc(-c2ccc(-c3cccc(OC(F)(F)F)c3)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cccc(OC(F)(F)F)c3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2ccccc21', 'Cn1ncc2cc(Br)ccc21']; ['FC(F)(F)Oc1cccc(Br)c1', 'OB(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1cccc(Br)c1', 'FC(F)(F)Oc1ccccc1']; [1.0, 1.0, 1.0, 1.0]
-C[C@@H](C[NH+](C)C)Oc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
-CSc1nc(-c2cccc(OC(F)(F)F)c2)c[nH]1; [None]; [None]; [0]
-[NH3+]CCCc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cccc(OC(F)(F)F)c2)C1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc(OC(F)(F)F)c3)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccc(OC(F)(F)F)c2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.999971867]
-FC(F)(F)Oc1cccc(-c2csc3ncncc23)c1; [None]; [None]; [0]
-Cn1cc(-c2cccc(OC(F)(F)F)c2)c2ccccc21; ['Cn1ccc2ccccc21']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.999883413]
-FC(F)(F)Oc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
-O=c1cc(-c2cccc(OC(F)(F)F)c2)cc[nH]1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccc(OC(F)(F)F)c1; ['CC(C)(C)NC=O']; ['Nc1cccc(OC(F)(F)F)c1']; [0.999995232]
-C[C@H](c1cccc(OC(F)(F)F)c1)C(F)(F)F; [None]; [None]; [0]
-COc1cc(CCc2cccc(OC(F)(F)F)c2)cc(OC)c1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2cnc3[nH]ccc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.999999881]
-CNC(=O)c1c(F)cccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-O=c1cc(-c2cccc(OC(F)(F)F)c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cccc(OC(F)(F)F)c2)C1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cccc(OC(F)(F)F)c2)ccc1Cl; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc(OC(F)(F)F)c2)CC1; [None]; [None]; [0]
-OCc1ccn(-c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
-CC1(c2cccc(OC(F)(F)F)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cc(-c2cccc(OC(F)(F)F)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1cccc(OC(F)(F)F)c1)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['Nc1cccc(OC(F)(F)F)c1']; [0.999797523]
-FC(F)(F)Oc1cccc(-c2ccc(N3CCOCC3)cc2)c1; ['Brc1ccc(N2CCOCC2)cc1']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.999992251]
-FC(F)(F)Oc1cccc(-c2nc[nH]n2)c1; ['COC(OC)N(C)C']; ['NC(=O)c1cccc(OC(F)(F)F)c1']; [0.99892211]
-C[C@H](Nc1cccc(OC(F)(F)F)c1)C(C)(C)O; [None]; [None]; [0]
-OCCc1cn(-c2cccc(OC(F)(F)F)c2)cn1; ['FC(F)(F)Oc1cccc(I)c1']; ['OCCc1c[nH]cn1']; [0.999849796]
-Cc1nc[nH]c1-c1cccc(OC(F)(F)F)c1; ['Cc1nc[nH]c1I', 'Cc1nc[nH]c1Cl']; ['OB(O)c1cccc(OC(F)(F)F)c1', 'OB(O)c1cccc(OC(F)(F)F)c1']; [0.999992132, 0.999992132]
-FC(F)(F)Oc1cccc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
-C[C@@H](Nc1cccc(OC(F)(F)F)c1)C(C)(C)O; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc(OC(F)(F)F)c2)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cn1cnnc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-C[C@@H](Nc1cccc(OC(F)(F)F)c1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['FC(F)(F)Oc1cccc(Br)c1']; [0.999995]
-O=C(CCc1cccc(OC(F)(F)F)c1)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-c2cccc(OC(F)(F)F)c2)nc(N)n1; ['CC1(C)OB(c2cccc(OC(F)(F)F)c2)OC1(C)C']; ['CCc1cc(Cl)nc(N)n1']; [0.999999881]
-CC(C)n1cnnc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CCCCc1cc(-c2cccc(OC(F)(F)F)c2)nc(N)n1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2csc(N3CCOCC3)n2)c1; ['CC(=O)c1cccc(OC(F)(F)F)c1']; ['NC(=S)N1CCOCC1']; [0.999999881]
-NC(=O)N1CCC[C@@H]1c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2cn(Cc3ccccc3)nn2)c1; ['BrCc1ccccc1']; ['C#Cc1cccc(OC(F)(F)F)c1']; [1.0]
-CNC(=O)c1ccc(-c2cccc(OC(F)(F)F)c2)s1; ['CNC(=O)c1ccc(Br)s1']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.999999881]
-CC(=O)Nc1ncc(-c2cccc(OC(F)(F)F)c2)[nH]1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(-c2ncc3ccccc3n2)c1; ['NCc1ccccc1N', 'NCc1ccccc1N']; ['O=Cc1cccc(OC(F)(F)F)c1', 'OCc1cccc(OC(F)(F)F)c1']; [0.999432, 0.999432]
-FC(F)(F)Oc1cccc(-c2ncc3cc[nH]c3n2)c1; ['Clc1ncc2cc[nH]c2n1']; ['OB(O)c1cccc(OC(F)(F)F)c1']; [0.999992371]
-FC(F)(F)Oc1cccc(-c2cnccc2N2CCOCC2)c1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc(CC2CCOCC2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccc(OC(F)(F)F)c1; ['CS(=O)(=O)Nc1ccccc1']; ['FC(F)(F)Oc1cccc(CBr)c1']; [0.990802109]
-Cn1cc(-c2cccc(OC(F)(F)F)c2)c(=O)n1C; [None]; [None]; [0]
-CN(C)c1cc(-c2cccc(OC(F)(F)F)c2)cnn1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cccc(OC(F)(F)F)c2)CC1; [None]; [None]; [0]
-COC(C)(C)CCc1ccsc1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccsc2)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccsc1; [None]; [None]; [0]
-c1ccc(-c2ccsc2)cc1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccsc1; [None]; [None]; [0]
-Cc1cccc(-c2ccsc2)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccsc1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccsc1; [None]; [None]; [0]
-c1cc(C2CCCCC2)cs1; [None]; [None]; [0]
-c1cc(C2CCOCC2)cs1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ccsc2)CO1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccsc2)cs1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccsc1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccsc1; ['Cc1cn2ccccc2n1']; ['Ic1ccsc1']; [0.99996984]
-c1cc(CC2CCCCC2)cs1; ['Br[Mg]CC1CCCCC1']; ['Brc1ccsc1']; [0.963340819]
-CNc1nc(C)c(-c2ccsc2)s1; [None]; [None]; [0]
-CCC(C)(C)c1ccsc1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2ccsc2)c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccsc2)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccsc1; [None]; [None]; [0]
-c1nc(CCNc2ccsc2)c[nH]1; ['Brc1ccsc1']; ['NCCc1c[nH]cn1']; [0.972031]
-c1ccc(CCNc2ccsc2)cc1; ['Brc1ccsc1', 'Clc1ccsc1']; ['NCCc1ccccc1', 'NCCc1ccccc1']; [0.991484, 0.991484]
-Cn1ncc2cc(-c3ccsc3)ccc21; ['Cn1ncc2cc(Br)ccc21']; ['OB(O)c1ccsc1']; [0.999990821]
-Cn1cc(-c2ccc(-c3ccsc3)cc2)cn1; [None]; [None]; [0]
-CCCCc1ccsc1; ['Brc1ccsc1']; ['CCCC[Mg]Br']; [0.972926438]
-CCCn1cnc(-c2ccsc2)n1; [None]; [None]; [0]
-[NH3+]CCCc1ccsc1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccsc3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['OB(O)c1ccsc1']; [0.999959469]
-[NH3+][C@H]1CCC[C@@H](c2ccsc2)C1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccsc1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccsc1; [None]; [None]; [0]
-FC(F)(F)Oc1ccsc1; [None]; [None]; [0]
-CSc1nc(-c2ccsc2)c[nH]1; [None]; [None]; [0]
-c1ncc2c(-c3ccsc3)csc2n1; [None]; [None]; [0]
-Cn1cc(-c2ccsc2)c2ccccc21; ['Brc1ccsc1']; ['Cn1ccc2ccccc21']; [0.999385]
-CCNc1nc2ccc(-c3ccsc3)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccsc2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['OB(O)c1ccsc1']; [0.997257173]
-O=c1cc(-c2ccsc2)cc[nH]1; [None]; [None]; [0]
-C[C@H](c1ccsc1)C(F)(F)F; [None]; [None]; [0]
-c1ccn2ncc(-c3ccsc3)c2c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccsc1; ['CC(C)(C)N=C=O', 'CC(C)(C)NC(N)=O']; ['Nc1ccsc1', 'Clc1ccsc1']; [0.999653, 0.999653]
-O=c1cc(-c2ccsc2)ccn1[C@@H2]CO; [None]; [None]; [0]
-COc1cc(CCc2ccsc2)cc(OC)c1; [None]; [None]; [0]
-c1cc2cc(-c3ccsc3)cnc2[nH]1; ['Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2ccsc2)OC1(C)C', 'OB(O)c1ccsc1']; [0.999999881, 0.999999881]
-O=C([O-])c1cc(-c2ccsc2)ccc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccsc1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccsc2)C1; [None]; [None]; [0]
-CC1(c2ccsc2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccsc2)CC1; [None]; [None]; [0]
-c1cc(-c2ccc(N3CCOCC3)cc2)cs1; ['Brc1ccc(N2CCOCC2)cc1']; ['OB(O)c1ccsc1']; [0.999999404]
-OCc1ccn(-c2ccsc2)n1; [None]; [None]; [0]
-Cc1cc(-c2ccsc2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCCc1cn(-c2ccsc2)cn1; [None]; [None]; [0]
-C[C@H](Nc1ccsc1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ccsc1)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1ccsc1)C(C)(C)C; ['Brc1ccsc1']; ['C[C@H](N)C(C)(C)C']; [0.991567433]
-c1nc(-c2ccsc2)n[nH]1; ['COC(OC)N(C)C']; ['NC(=O)c1ccsc1']; [0.965200305]
-CSc1nc(C)c(-c2ccsc2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccsc1; [None]; [None]; [0]
-c1ncn(-c2ccc(-c3ccsc3)cc2)n1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccsc1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccsc1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccsc1; [None]; [None]; [0]
-c1cc(-c2nncn2C2CC2)cs1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccsc3)nn2)cc1; ['C#Cc1ccsc1']; ['ClCc1ccccc1']; [1.0]
-O=C(CCc1ccsc1)NCc1ccccn1; [None]; [None]; [0]
-Cn1cnnc1-c1ccsc1; [None]; [None]; [0]
-CCc1cc(-c2ccsc2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['OB(O)c1ccsc1']; [0.999959707]
-c1cc(-c2csc(N3CCOCC3)n2)cs1; ['NC(=S)N1CCOCC1']; ['O=C(CBr)c1ccsc1']; [0.999988198]
-CNC(=O)c1ccc(-c2ccsc2)s1; ['CNC(=O)c1ccc(Br)s1']; ['OB(O)c1ccsc1']; [0.999970436]
-C[C@@H](Nc1ccsc1)C(C)(C)C; ['Brc1ccsc1']; ['C[C@@H](N)C(C)(C)C']; [0.991567433]
-c1cc(CC2CCOCC2)cs1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccsc2)[nH]1; [None]; [None]; [0]
-CCCCc1cc(-c2ccsc2)nc(N)n1; [None]; [None]; [0]
-Cn1cc(-c2ccsc2)c(=O)n1C; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccsc1; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2ccsc2)cn1; [None]; [None]; [0]
-c1ccc2nc(-c3ccsc3)ncc2c1; ['Clc1ncc2ccccc2n1']; ['OB(O)c1ccsc1']; [0.999952674]
-O[C@H]1CC[C@@H](Oc2ccsc2)CC1; [None]; [None]; [0]
-c1cc2cnc(-c3ccsc3)nc2[nH]1; ['Clc1ncc2cc[nH]c2n1']; ['OB(O)c1ccsc1']; [0.999958873]
-CS(=O)(=O)Nc1ccccc1Cc1ccsc1; [None]; [None]; [0]
-COc1cc(C=Cc2cccc(OC(C)C)c2)ccc1O; ['C=Cc1ccc(O)c(OC)c1']; ['CC(C)Oc1cccc(I)c1']; [0.998594344]
-CC(C)Oc1cccc(C=C2C(=O)Nc3ccc(Cl)cc32)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc3ccccc3c2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccsc2)cnn1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-c1ccc2cc(C3CCOCC3)ccc2c1; ['Br[Mg]c1ccc2ccccc2c1', 'BrC1CCOCC1', 'Brc1ccc2ccccc2c1']; ['IC1CCOCC1', 'Br[Mg]c1ccc2ccccc2c1', 'O=C1CCOCC1']; [0.995962799, 0.995962799, 0.995962799]
-COC(C)(C)CCc1ccc2ccccc2c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc3ccccc3c2)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1ccc2ccccc2c1']; [0.999998331]
-COc1ccc(F)cc1[C@@H](C)c1ccc2ccccc2c1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-Cc1cccc(-c2ccc3ccccc3c2)c1; ['Cc1cccc(I)c1', 'Cc1cccc(B(O)O)c1', 'Brc1ccc2ccccc2c1', 'Br[Mg]c1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Cc1cccc([Mg]Br)c1', 'Cc1cccc(Br)c1', 'Cc1cccc(Br)c1']; [0.999977, 0.999977, 0.999977, 0.999977, 0.999977]
-OC[C@@H]1CC[C@@H](c2ccc3ccccc3c2)CO1; [None]; [None]; [0]
-c1ccc2cc(C3CCCCC3)ccc2c1; ['ClC1CCCCC1', 'C1=CCCCC1']; ['c1ccc2ccccc2c1', 'c1ccc2ccccc2c1']; [0.99856925, 0.99856925]
-c1ccc2cc(CC3CCCCC3)ccc2c1; ['Br[Mg]CC1CCCCC1']; ['Brc1ccc2ccccc2c1']; [0.968775749]
-CC(C)C(=O)COc1ccc2ccccc2c1; ['CC(C)C(=O)CBr']; ['Oc1ccc2ccccc2c1']; [0.968136251]
-Cc1nc2ccccn2c1-c1ccc2ccccc2c1; ['Brc1ccc2ccccc2c1', 'Cc1cn2ccccc2n1']; ['Cc1cn2ccccc2n1', 'Ic1ccc2ccccc2c1']; [0.999979, 0.999979]
-CNc1nc(C)c(-c2ccc3ccccc3c2)s1; [None]; [None]; [0]
-c1ccc2cc(NCCc3c[nH]cn3)ccc2c1; ['Fc1ccc2ccccc2c1']; ['NCCc1c[nH]cn1']; [0.993478298]
-c1cc(Cn2cncn2)cc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
-CCC(C)(C)c1ccc2ccccc2c1; ['CCC(C)(C)Cl']; ['c1ccc2ccccc2c1']; [0.906480551]
-CCCCc1ccc2ccccc2c1; ['Brc1ccc2ccccc2c1']; ['CCCC[Mg]Cl']; [0.986842573]
-COC(=O)[C@@H](N)Cc1ccc2ccccc2c1; ['CC(C)(C)OC(=O)N[C@@H](Cc1ccc2ccccc2c1)C(=O)O']; ['CO']; [0.999441206]
-Nc1[nH]nc2cc(-c3ccc4ccccc4c3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['OB(O)c1ccc2ccccc2c1']; [0.999928355]
-c1ccc(CCNc2ccc3ccccc3c2)cc1; ['BrCCc1ccccc1']; ['Nc1ccc2ccccc2c1']; [0.985641778]
-Cn1ncc2cc(-c3ccc4ccccc4c3)ccc21; ['Clc1ccc2ccccc2c1']; ['Cn1ncc2ccccc21']; [0.7674402]
-O=C([O-])Cc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc4ccccc4c3)cc2)cn1; ['Cn1cc(I)cn1', 'Cn1cc(Br)cn1']; ['OB(O)c1ccc(-c2ccc3ccccc3c2)cc1', 'OB(O)c1ccc(-c2ccc3ccccc3c2)cc1']; [0.999655604, 0.999655604]
-C[C@@H](C[NH+](C)C)Oc1ccc2ccccc2c1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc3ccccc3c2)C1; [None]; [None]; [0]
-[NH3+]CCCc1ccc2ccccc2c1; [None]; [None]; [0]
-CSc1nc(-c2ccc3ccccc3c2)c[nH]1; [None]; [None]; [0]
-c1ccc2cc(-c3csc4ncncc34)ccc2c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4ccccc4c3)cc2s1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ccccc3c2)c2ccccc21; ['Cn1ccc2ccccc21']; ['Nc1ccc2ccccc2c1']; [0.994096279]
-FC(F)(F)Oc1ccc2ccccc2c1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc3ccccc3c2)CC1; [None]; [None]; [0]
-c1ccc2cc(-c3cnn4ccccc34)ccc2c1; [None]; [None]; [0]
-C[C@H](c1ccc2ccccc2c1)C(F)(F)F; [None]; [None]; [0]
-O=c1cc(-c2ccc3ccccc3c2)cc[nH]1; ['O=c1cc(Br)cc[nH]1']; ['OB(O)c1ccc2ccccc2c1']; [0.999683]
-CC(C)(C)NC(=O)Nc1ccc2ccccc2c1; [None]; [None]; [0]
-COc1cc(CCc2ccc3ccccc3c2)cc(OC)c1; [None]; [None]; [0]
-O=c1cc(-c2ccc3ccccc3c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-c1ccc2cc(-c3cnc4[nH]ccc4c3)ccc2c1; ['Brc1cnc2[nH]ccc2c1', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'Brc1cnc2[nH]ccc2c1']; [0.999985099, 0.999985099]
-CNC(=O)c1c(F)cccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccc3ccccc3c2)ccc1Cl; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc3ccccc3c2)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc3ccccc3c2)C1; [None]; [None]; [0]
-OCc1ccn(-c2ccc3ccccc3c2)n1; ['Brc1ccc2ccccc2c1']; ['OCc1cc[nH]n1']; [0.999770105]
-CC1(c2ccc3ccccc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cc(-c2ccc3ccccc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-c1ccc2cc(-c3ccc(N4CCOCC4)cc3)ccc2c1; ['CC1(C)COB(c2ccc3ccccc3c2)OC1', 'Brc1ccc(N2CCOCC2)cc1']; ['COc1ccc(N2CCOCC2)cc1', 'Brc1ccc2ccccc2c1']; [0.998217642, 0.998217642]
-C[C@H](Nc1ccc2ccccc2c1)C(C)(C)C; ['Brc1ccc2ccccc2c1']; ['C[C@H](N)C(C)(C)C']; [0.999206722]
-OCCc1cn(-c2ccc3ccccc3c2)cn1; [None]; [None]; [0]
-c1ccc2cc(-c3nc[nH]n3)ccc2c1; ['COC(OC)N(C)C']; ['NC(=O)c1ccc2ccccc2c1']; [0.993381]
-C[C@H](Nc1ccc2ccccc2c1)C(C)(C)O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2ccccc2c1; ['Cc1nc[nH]c1I']; ['OB(O)c1ccc2ccccc2c1']; [0.999877572]
-c1ccc2cc(-c3ccc(-n4cncn4)cc3)ccc2c1; ['Brc1ccc(-c2ccc3ccccc3c2)cc1']; ['c1nc[nH]n1']; [0.999720037]
-C[C@@H](Nc1ccc2ccccc2c1)C(C)(C)O; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc2ccccc2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3ccccc3c2)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2ccccc2c1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['Ic1ccc2ccccc2c1']; [0.999547541]
-O=C(CCc1ccc2ccccc2c1)NCc1ccccn1; [None]; [None]; [0]
-CCc1cc(-c2ccc3ccccc3c2)nc(N)n1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C']; ['CCc1cc(Cl)nc(N)n1']; [0.999991775]
-c1ccc2cc(-c3nncn3C3CC3)ccc2c1; [None]; [None]; [0]
-c1ccc2cc(-c3csc(N4CCOCC4)n3)ccc2c1; ['CC(=O)c1ccc2ccccc2c1']; ['NC(=S)N1CCOCC1']; [0.999998569]
-c1ccc(Cn2cc(-c3ccc4ccccc4c3)nn2)cc1; ['C#Cc1ccc2ccccc2c1', 'BrCc1ccccc1']; ['ClCc1ccccc1', 'C#Cc1ccc2ccccc2c1']; [1.0, 1.0]
-CCCCc1cc(-c2ccc3ccccc3c2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3ccccc3c2)s1; ['CNC(=O)c1ccc(Br)s1']; ['OB(O)c1ccc2ccccc2c1']; [0.999998]
-CC(=O)Nc1ncc(-c2ccc3ccccc3c2)[nH]1; [None]; [None]; [0]
-c1ccc2cc(CC3CCOCC3)ccc2c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccc2ccccc2c1; [None]; [None]; [0]
-c1ccc2cc(-c3ncc4ccccc4n3)ccc2c1; [None]; [None]; [0]
-c1ccc2cc(-c3cnccc3N3CCOCC3)ccc2c1; [None]; [None]; [0]
-c1ccc2cc(-c3ncc4cc[nH]c4n3)ccc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ccccc3c2)c(=O)n1C; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc2ccccc2c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ccc3ccccc3c2)CC1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc3ccccc3c2)cnn1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(-c3ccccc3)cccc2c1=O; [None]; [None]; [0]
-CCOc1ccccc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c([C@@H]3C[C@H](O)C3)cccc2c1=O; [None]; [None]; [0]
-COC(C)(C)CCc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc3c(=O)n(C)cnc23)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(Cc3cc(F)cc(F)c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccnc4ccccc34)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(C3CCOCC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccccc3P(C)(C)=O)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cccnc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc(C(F)(F)F)c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cc[nH]n3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccccc3Cl)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccccc3F)cccc2c1=O; [None]; [None]; [0]
-Cc1cccc(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
-Cn1cnc2c(-c3ccccc3OC(F)(F)F)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccccc3Br)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccccc3C#N)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccccc3C(N)=O)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cnn(Cc4ccccc4)c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccccc3C(=O)[O-])cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3c(F)cccc3F)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccncn3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cnc(-c4ccccc4)[nH]3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3csc(C(C)(C)C)n3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c([C@@H](N)c3ccco3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cnn(CCO)c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(C3CCCCC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc(NC(=O)c4ccccc4)c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c([C@@H]3CC[C@@H](CO)OC3)cccc2c1=O; [None]; [None]; [0]
-COc1cnc(-c2cccc3c(=O)n(C)cnc23)nc1; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc4c(c3)CCC4)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(CC3CCCCC3)cccc2c1=O; [None]; [None]; [0]
-CC(C)C(=O)COc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cc1ccc(-c2cccc3c(=O)n(C)cnc23)c(Br)c1; [None]; [None]; [0]
-Cn1cnc2c(-c3cnco3)cccc2c1=O; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(-c3cnc4ccccn34)cccc2c1=O; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc3c(=O)n(C)cnc23)s1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cccc3c(=O)n(C)cnc23)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(-c3c(Cl)cccc3Cl)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(NC(C)(C)C)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cnc4cccnn34)cccc2c1=O; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
-Cn1cnc2c(OC3CCCCC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc(Cn4cncn4)c3)cccc2c1=O; [None]; [None]; [0]
-Cc1ncc(-c2cccc3c(=O)n(C)cnc23)[nH]1; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc(Cl)c3Cl)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(NCc3cccnc3)cccc2c1=O; [None]; [None]; [0]
-COc1cccc(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
-CCC(C)(C)c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(-c3ccnc(N)n3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(Nc3cccnc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc(Cl)s3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc4ccccc4c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-n3cnc4ccccc43)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(NCCc3c[nH]cn3)cccc2c1=O; [None]; [None]; [0]
-C[C@H](CO)Nc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-CC(C)COc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(NC(=O)c3cccs3)cccc2c1=O; [None]; [None]; [0]
-CCCCc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc(CC(=O)[O-])c3)cccc2c1=O; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cccc4c(=O)n(C)cnc34)cc2)cn1; [None]; [None]; [0]
-Cn1cnc2c(-c3cncc4ccccc34)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(NCCc3ccccc3)cccc2c1=O; [None]; [None]; [0]
-CCCn1cnc(-c2cccc3c(=O)n(C)cnc23)n1; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc4c(N)[nH]nc4c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc4c(cnn4C)c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(CCC[NH3+])cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc(O)c3)cccc2c1=O; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cncc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c([C@@H]3CCC[C@H]([NH3+])C3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc(CO)c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(Nc3ccncc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cccs3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccco3)cccc2c1=O; [None]; [None]; [0]
-CSc1nc(-c2cccc3c(=O)n(C)cnc23)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cc(-c2cccc3c(=O)n(C)cnc23)cn1; [None]; [None]; [0]
-Cn1cnc2c(-c3csc4ncncc34)cccc2c1=O; [None]; [None]; [0]
-CC(C)Nc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc(CCC#N)c3)cccc2c1=O; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cccc3c(=O)n(C)cnc23)cc1; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc(F)cc3C(F)(F)F)cccc2c1=O; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc4c(=O)n(C)cnc34)cc2s1; [None]; [None]; [0]
-Cn1cnc2c(-c3cn(C)c4ccccc34)cccc2c1=O; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
-Cn1cnc2c(OC(F)(F)F)cccc2c1=O; [None]; [None]; [0]
-CCC(=O)Nc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-C[C@H](c1cccc2c(=O)n(C)cnc12)C(F)(F)F; [None]; [None]; [0]
-Cn1cnc2c(N3CCC(S(C)(=O)=O)CC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cnn4ccccc34)cccc2c1=O; [None]; [None]; [0]
-COc1ccc(-c2cccc3c(=O)n(C)cnc23)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cccc3c(=O)n(C)cnc23)no1; [None]; [None]; [0]
-Cn1cnc2c(-c3cnoc3)cccc2c1=O; [None]; [None]; [0]
-CCCn1cc(-c2cccc3c(=O)n(C)cnc23)cn1; [None]; [None]; [0]
-Cn1cnc2c(-c3cc[nH]c(=O)c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(NC(=O)NC(C)(C)C)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccn([C@@H2]CO)c(=O)c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc4c3C(=O)CC4)cccc2c1=O; [None]; [None]; [0]
-CCOC(=O)Cc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-COc1cc(CCc2cccc3c(=O)n(C)cnc23)cc(OC)c1; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc(C(C)(C)N)cc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc(Cl)c(C(=O)[O-])c3)cccc2c1=O; [None]; [None]; [0]
-CCN(CC)c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(-c3cc4c(=O)[nH]ccc4o3)cccc2c1=O; [None]; [None]; [0]
-COc1ccncc1Nc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc([S@](C)=O)cc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(Nc3cnc4ccccc4c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3c[nH]c4ccccc34)cccc2c1=O; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c([C@H](CO)Cc3ccccc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(C3(C)CCN(S(C)(=O)=O)CC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3c[nH]c4cnccc34)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c([C@@H]3CC[C@@H](NC(=O)O)C3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cnc4[nH]ccc4c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c([C@@H]3CC[C@@H](C#N)CC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c([C@@H]3CC[C@@H](CC#N)CC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c([C@H]3COCC[C@@H]3C#N)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c([C@@H]3CCCN(C(=O)CC#N)C3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc(S(C)(=O)=O)cc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc(N4CCOCC4)cc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c([C@@H]3CC[C@@H](CCC#N)CC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-n3cnc(CCO)c3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-n3ccc(CO)n3)cccc2c1=O; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc3c(=O)n(C)cnc23)cc1; [None]; [None]; [0]
-C[C@H](Nc1cccc2c(=O)n(C)cnc12)C(C)(C)O; [None]; [None]; [0]
-Cc1cc(-c2cccc3c(=O)n(C)cnc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@@H](Nc1cccc2c(=O)n(C)cnc12)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cccc2c(=O)n(C)cnc12)C(C)(C)C; [None]; [None]; [0]
-Cn1cnc2c(-n3ncc4ccccc43)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-n3ncc4c(O)cccc43)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc(F)c3C(N)=O)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cccnc3O)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc(-n4cncn4)cc3)cccc2c1=O; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc3c(=O)n(C)cnc23)[nH]1; [None]; [None]; [0]
-Cn1cnc2c(-c3nc[nH]n3)cccc2c1=O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-COc1ccc(-c2cccc3c(=O)n(C)cnc23)c(OC)c1; [None]; [None]; [0]
-Cn1cnc2c(-c3nc4ccc(O)cc4[nH]3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(NCC(C)(C)[NH3+])cccc2c1=O; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(Cc3ccncc3)cccc2c1=O; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(-c3nncn3C3CC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ccc(C(=O)c4ccccc4)cc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(CCC(=O)NCc3ccccn3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnnc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(OC3CCOCC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-n3ccnc3)cccc2c1=O; [None]; [None]; [0]
-C[C@@H](Nc1cccc2c(=O)n(C)cnc12)C(C)(C)C; [None]; [None]; [0]
-Cn1cnc2c(-c3cn(Cc4ccccc4)nn3)cccc2c1=O; [None]; [None]; [0]
-CCc1cc(-c2cccc3c(=O)n(C)cnc23)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2cccc3c(=O)n(C)cnc23)nc(N)n1; [None]; [None]; [0]
-Cc1cncc(-c2cccc3c(=O)n(C)cnc23)n1; [None]; [None]; [0]
-Cn1cnc2c(-c3nnc(N)s3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cnc(N)s3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c([C@H]3CCCN3C(N)=O)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3csc(N4CCOCC4)n3)cccc2c1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3c(=O)n(C)cnc23)s1; [None]; [None]; [0]
-Cn1cnc2c(-c3nc4ccccc4s3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(CC3CCOCC3)cccc2c1=O; [None]; [None]; [0]
-COc1cccc(F)c1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc3c(=O)n(C)cnc23)[nH]1; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc4ccsc34)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3nc(N)c4ccccc4n3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cn(C)n(C)c3=O)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ncc4ccccc4n3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3cnccc3N3CCOCC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3ncc4cc[nH]c4n3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(-c3c[nH]c4cccnc34)cccc2c1=O; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
-Cn1cnc2c(Cc3cccnc3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(Cc3ccccc3NS(C)(=O)=O)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(O[C@@H]3CC[C@H](O)CC3)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(NCC(C)(C)C)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c([C@H]3CC[C@@](C)(O)CC3)cccc2c1=O; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
-Cn1cnc2c(OC(C)(C)C)cccc2c1=O; [None]; [None]; [0]
-CN(C)c1cc(-c2cccc3c(=O)n(C)cnc23)cnn1; [None]; [None]; [0]
-Cn1cnc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)cccc2c1=O; [None]; [None]; [0]
-Clc1ccc(-c2ccccc2)cc1Cl; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
-Cn1c(-c2ccc(Cl)c(Cl)c2)nc2ccccc21; ['Clc1ccc(I)cc1Cl']; ['Cn1cnc2ccccc21']; [0.992965579]
-Cc1ccccc1-c1ccc(Cl)c(Cl)c1; ['Cc1ccccc1I', 'Cc1ccccc1Br']; ['Clc1ccc(I)cc1Cl', 'Clc1ccccc1Cl']; [0.994784415, 0.994784415]
-Cn1cnc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cccc2c1=O; [None]; [None]; [0]
-Clc1ccc(-c2cn[nH]c2Cl)cc1Cl; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc(Cl)c(Cl)c1; ['CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C', 'Cc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(F)ccc1Br', 'Cc1cc(F)ccc1B(O)O', 'Cc1cc(F)ccc1Cl', 'Cc1cc(F)ccc1B(O)O']; ['Cc1cc(F)ccc1Br', 'Clc1ccc(Br)cc1Cl', 'OB(O)c1ccc(Cl)c(Cl)c1', 'Clc1ccc(Br)cc1Cl', 'OB(O)c1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1']; [0.999997377, 0.999997377, 0.999997377, 0.999997377, 0.999997377, 0.999997377]
-NC(=O)c1ccc(-c2ccc(Cl)c(Cl)c2)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(Cl)c(F)c1']; ['Clc1ccc(Br)cc1Cl', 'OB(O)c1ccc(Cl)c(Cl)c1']; [0.999996305, 0.999996305]
-O=C([O-])c1ccc(-c2ccc(Cl)c(Cl)c2)cc1; ['CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C']; ['O=C([O-])c1ccccc1']; [0.860193431]
-Clc1ccc(CCc2ccc(Cl)c(Cl)c2)cc1; ['Clc1ccc(Br)cc1Cl', 'Cc1ccc(Cl)cc1', 'Cc1ccc(Cl)c(Cl)c1']; ['Clc1ccc(CCBr)cc1', 'Clc1ccc(CBr)cc1Cl', 'Clc1ccc(CBr)cc1']; [0.987627387, 0.987627387, 0.987627387]
-O=C([O-])Cc1ccn(-c2ccc(Cl)c(Cl)c2)c1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccc(Cl)c(Cl)c2)c[nH]1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc(Cl)c(Cl)c1; ['Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B(O)O']; ['OB(O)c1ccc(Cl)c(Cl)c1', 'Clc1ccc(Br)cc1Cl']; [0.999994755, 0.999994755]
-COCCCc1ccc(Cl)c(Cl)c1; ['C=CCOC']; ['Clc1ccc(Br)cc1Cl']; [0.980058968]
-Clc1ccc(-c2c(Cl)ccc3c2OCO3)cc1Cl; [None]; [None]; [0]
-Cc1nnc(-c2ccc(Cl)c(Cl)c2)o1; ['COC(C)(OC)OC']; ['NNC(=O)c1ccc(Cl)c(Cl)c1']; [0.999815285]
-Clc1ccc(-c2nnco2)cc1Cl; ['COC(OC)OC']; ['NNC(=O)c1ccc(Cl)c(Cl)c1']; [0.999998212]
-Clc1ccc(C2CCOCC2)cc1Cl; ['IC1CCOCC1', 'Clc1ccc(Br)cc1Cl', 'BrC1CCOCC1']; ['OB(O)c1ccc(Cl)c(Cl)c1', 'IC1CCOCC1', 'Clc1ccc(Br)cc1Cl']; [0.999876857, 0.999876857, 0.999876857]
-CNC(=O)c1cccc2cc(-c3ccc(Cl)c(Cl)c3)ccc12; [None]; [None]; [0]
-CNc1nccc(-c2ccc(Cl)c(Cl)c2)n1; [None]; [None]; [0]
-Clc1ccc(-c2ccc(Br)o2)cc1Cl; ['Brc1ccco1']; ['O=S(=O)(Cl)c1ccc(Cl)c(Cl)c1']; [0.799302578]
-Clc1ccc(-c2cnc3[nH]ccc3c2)cc1Cl; [None]; [None]; [0]
-Fc1cnc(-c2ccc(Cl)c(Cl)c2)nc1; ['CC1(C)OB(c2ccc(Cl)c(Cl)c2)OC1(C)C', 'Fc1cnc(Cl)nc1']; ['Fc1cnc(Cl)nc1', 'OB(O)c1ccc(Cl)c(Cl)c1']; [0.99999404, 0.99999404]
-CCc1cc(O)c(F)cc1-c1ccc(Cl)c(Cl)c1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccc(Cl)c(Cl)c1; ['CNc1cccc(Cl)c1', 'CNc1ccc(Cl)c(Cl)c1', 'CNc1ccc(Cl)c(Cl)c1', 'CNc1cccc(Cl)c1']; ['Clc1ccc(Br)cc1Cl', 'Clc1cccc(Br)c1', 'OB(O)c1cccc(Cl)c1', 'OB(O)c1ccc(Cl)c(Cl)c1']; [0.995806336, 0.995806336, 0.995806336, 0.995806336]
-Nc1cc(-c2ccc(Cl)c(Cl)c2)n[nH]1; [None]; [None]; [0]
-Clc1ccc(-c2nncs2)cc1Cl; [None]; [None]; [0]
-[O-]c1cccc(-c2ccc(Cl)c(Cl)c2)c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ccc(Cl)c(Cl)c2)cc1; ['COC(=O)c1ccc(-c2ccc(Cl)c(Cl)c2)cc1']; ['NC1CC1']; [0.99961406]
-Fc1ccc2n[nH]c(-c3ccc(Cl)c(Cl)c3)c2c1; [None]; [None]; [0]
-Clc1ccc(CCc2c[nH]c3ccccc23)cc1Cl; ['OCCc1ccc(Cl)c(Cl)c1']; ['c1ccc2[nH]ccc2c1']; [0.9936167]
-Cc1n[nH]c(-c2ccc(Cl)c(Cl)c2)c1C; [None]; [None]; [0]
-Cc1cc(-c2ccc(Cl)c(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2ccc(Cl)c(Cl)c2)cc1; [None]; [None]; [0]
-Clc1ccc(OCc2cccc3ccccc23)cc1Cl; ['BrCc1cccc2ccccc12']; ['Oc1ccc(Cl)c(Cl)c1']; [0.999954462]
-Clc1ccc(-c2[nH]ncc2-c2ccc(Cl)c(Cl)c2)cc1; ['Clc1ccc(-c2ccn[nH]2)cc1']; ['Clc1ccc(Br)cc1Cl']; [0.893668115]
-Fc1ccc(COc2ccc(Cl)c(Cl)c2)c(F)c1; ['Fc1ccc(CCl)c(F)c1', 'OCc1ccc(F)cc1F']; ['Oc1ccc(Cl)c(Cl)c1', 'Oc1ccc(Cl)c(Cl)c1']; [0.999970913, 0.999970913]
-Clc1ccc2[nH]cc(-c3ccccc3)c2c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccc(Cl)c(Cl)c1; [None]; [None]; [0]
-COC(C)(C)CCc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Fc1ccc(CCc2ccc(Cl)c(Cl)c2)c(F)c1; ['C=Cc1ccc(F)cc1F']; ['Clc1ccccc1Cl']; [0.920460165]
-Clc1ccc2[nH]cc(C3CCOCC3)c2c1; ['Clc1ccc2[nH]ccc2c1']; ['O=C1CCOCC1']; [0.997767806]
-COc1ccc(F)cc1[C@@H](C)c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Cc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; ['Cc1cccc(NN)c1']; ['Clc1ccc2[nH]ccc2c1']; [0.979895353]
-Cc1nnc(-c2ccccc2-c2c[nH]c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(C3CCCCC3)c2c1; ['Clc1ccc2[nH]ccc2c1']; ['O=C1CCCCC1']; [0.971473098]
-CC(C)(C)c1nc(-c2c[nH]c3ccc(Cl)cc23)cs1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-COc1cnc(-c2c[nH]c3ccc(Cl)cc23)nc1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(CC3CCCCC3)c2c1; ['Clc1ccc2[nH]ccc2c1']; ['OCC1CCCCC1']; [0.991248608]
-O=C([O-])c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2c[nH]c3ccc(Cl)cc23)CO1; [None]; [None]; [0]
-CNc1nc(C)c(-c2c[nH]c3ccc(Cl)cc23)s1; [None]; [None]; [0]
-CCC(C)(C)c1c[nH]c2ccc(Cl)cc12; ['CCC(C)(C)Br']; ['Clc1ccc2[nH]ccc2c1']; [0.99855]
-CC(C)C(=O)COc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(NCCc3c[nH]cn3)c2c1; [None]; [None]; [0]
-CCCCc1c[nH]c2ccc(Cl)cc12; ['CCCCCC=O']; ['NNc1ccc(Cl)cc1']; [0.99971658]
-O=C([O-])Cc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3cccc(Cn4cncn4)c3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3c[nH]c4ccc(Cl)cc34)cc2)cn1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3c[nH]c4ccc(Cl)cc34)ccc12; [None]; [None]; [0]
-CCCn1cnc(-c2c[nH]c3ccc(Cl)cc23)n1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(NCCc3ccccc3)c2c1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2c[nH]c3ccc(Cl)cc23)C1; [None]; [None]; [0]
-Cn1ncc2cc(-c3c[nH]c4ccc(Cl)cc34)ccc21; [None]; [None]; [0]
-CSc1nc(-c2c[nH]c3ccc(Cl)cc23)c[nH]1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3csc4ncncc34)c2c1; [None]; [None]; [0]
-[NH3+]CCCc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3c[nH]c4ccc(Cl)cc34)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2c[nH]c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-CC(C)c1oncc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c3ccc(Cl)cc23)c2ccccc21; [None]; [None]; [0]
-O=c1cc(-c2c[nH]c3ccc(Cl)cc23)cc[nH]1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3cnn4ccccc34)c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-COc1cc(CCc2c[nH]c3ccc(Cl)cc23)cc(OC)c1; [None]; [None]; [0]
-C[C@H](c1c[nH]c2ccc(Cl)cc12)C(F)(F)F; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3cnc4[nH]ccc4c3)c2c1; [None]; [None]; [0]
-O=c1cc(-c2c[nH]c3ccc(Cl)cc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C([O-])c1cc(-c2c[nH]c3ccc(Cl)cc23)ccc1Cl; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2c[nH]c3ccc(Cl)cc23)C1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2c[nH]c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c3ccc(Cl)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CC1(c2c[nH]c3ccc(Cl)cc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-OCc1ccn(-c2c[nH]c3ccc(Cl)cc23)n1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ccc(N4CCOCC4)cc3)c2c1; ['Clc1ccc2[nH]ccc2c1']; ['c1ccc(N2CCOCC2)cc1']; [0.934623241]
-C[C@H](Nc1c[nH]c2ccc(Cl)cc12)C(C)(C)C; [None]; [None]; [0]
-OCCc1cn(-c2c[nH]c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
-C[C@H](Nc1c[nH]c2ccc(Cl)cc12)C(C)(C)O; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3nc[nH]n3)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ccc(-n4cncn4)cc3)c2c1; [None]; [None]; [0]
-C[C@@H](Nc1c[nH]c2ccc(Cl)cc12)C(C)(C)O; [None]; [None]; [0]
-CC(C)([NH3+])CNc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2c[nH]c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Cn1cnnc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-O=C(CCc1c[nH]c2ccc(Cl)cc12)NCc1ccccn1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-C[C@@H](Nc1c[nH]c2ccc(Cl)cc12)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2c[nH]c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3nncn3C3CC3)c2c1; [None]; [None]; [0]
-CCCCc1cc(-c2c[nH]c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3cn(Cc4ccccc4)nn3)c2c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3csc(N4CCOCC4)n3)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c[nH]c3ccc(Cl)cc23)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2c[nH]c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ncc4ccccc4n3)c2c1; [None]; [None]; [0]
-Clc1ccc2[nH]cc(CC3CCOCC3)c2c1; ['Clc1ccc2[nH]ccc2c1']; ['O=CC1CCOCC1']; [0.977455139]
-Clc1ccc2[nH]cc(-c3cnccc3N3CCOCC3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c3ccc(Cl)cc23)c(=O)n1C; [None]; [None]; [0]
-Clc1ccc2[nH]cc(-c3ncc4cc[nH]c4n3)c2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
-COc1cccc(C=C2C(=O)Nc3ccc(Cl)cc32)c1OC; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2c[nH]c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-CN(C)c1cc(-c2c[nH]c3ccc(Cl)cc23)cnn1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3ccccc3)c2c1; ['NNc1ccc(Br)cc1', 'Brc1ccc2[nH]ccc2c1']; ['O=CCc1ccccc1', 'Brc1ccccc1']; [0.999735653, 0.999735653]
-COc1cc(C=Cc2cccc(OC)c2OC)ccc1O; ['C=Cc1ccc(O)c(OC)c1', 'COc1cc(CC(=O)O)ccc1O']; ['COc1cccc(I)c1OC', 'COc1cccc(C=O)c1OC']; [0.997020543, 0.997020543]
-Cc1nnc(-c2ccccc2-c2c[nH]c3ccc(Br)cc23)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-COC(C)(C)CCc1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1']; ['COC(C)(C)CCO']; [0.89954108]
-CP(C)(=O)c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(C3CCOCC3)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['O=C1CCOCC1']; [0.998611927]
-COc1ccc(F)cc1[C@@H](C)c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Cc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2c[nH]c3ccc(Br)cc23)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(C3CCCCC3)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['O=C1CCCCC1']; [0.989901781]
-COc1cnc(-c2c[nH]c3ccc(Br)cc23)nc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2c[nH]c3ccc(Br)cc23)CO1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(CC3CCCCC3)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['OCC1CCCCC1']; [0.994389117]
-Cc1nc2ccccn2c1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2c[nH]c3ccc(Br)cc23)s1; [None]; [None]; [0]
-CC(C)C(=O)COc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-CCC(C)(C)c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1']; ['CCC(C)(C)Br']; [0.992944062]
-Brc1ccc2[nH]cc(NCCc3c[nH]cn3)c2c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
-CCCCc1c[nH]c2ccc(Br)cc12; ['CCCCCC=O', 'CCCCCC=O']; ['Nc1ccc(Br)cc1I', 'NNc1ccc(Br)cc1']; [0.999999404, 0.999999404]
-Brc1ccc2[nH]cc(-c3cccc(Cn4cncn4)c3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3c[nH]c4ccc(Br)cc34)cc2)cn1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3c[nH]c4ccc(Br)cc34)ccc12; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-CCCn1cnc(-c2c[nH]c3ccc(Br)cc23)n1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(NCCc3ccccc3)c2c1; [None]; [None]; [0]
-CSc1nc(-c2c[nH]c3ccc(Br)cc23)c[nH]1; [None]; [None]; [0]
-Cn1ncc2cc(-c3c[nH]c4ccc(Br)cc34)ccc21; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2c[nH]c3ccc(Br)cc23)C1; [None]; [None]; [0]
-[NH3+]CCCc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3c[nH]c4ccc(Br)cc34)cc2s1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3csc4ncncc34)c2c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2c[nH]c3ccc(Br)cc23)CC1; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c3ccc(Br)cc23)c2ccccc21; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cnn4ccccc34)c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-O=c1cc(-c2c[nH]c3ccc(Br)cc23)cc[nH]1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-COc1cc(CCc2c[nH]c3ccc(Br)cc23)cc(OC)c1; [None]; [None]; [0]
-C[C@H](c1c[nH]c2ccc(Br)cc12)C(F)(F)F; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cnc4[nH]ccc4c3)c2c1; [None]; [None]; [0]
-O=c1cc(-c2c[nH]c3ccc(Br)cc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2c[nH]c3ccc(Br)cc23)C1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2c[nH]c3ccc(Br)cc23)ccc1Cl; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2c[nH]c3ccc(Br)cc23)CC1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c3ccc(Br)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccn(-c2c[nH]c3ccc(Br)cc23)n1; [None]; [None]; [0]
-CC1(c2c[nH]c3ccc(Br)cc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3ccc(N4CCOCC4)cc3)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['c1ccc(N2CCOCC2)cc1']; [0.936241865]
-C[C@H](Nc1c[nH]c2ccc(Br)cc12)C(C)(C)C; [None]; [None]; [0]
-OCCc1cn(-c2c[nH]c3ccc(Br)cc23)cn1; [None]; [None]; [0]
-C[C@H](Nc1c[nH]c2ccc(Br)cc12)C(C)(C)O; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3nc[nH]n3)c2c1; [None]; [None]; [0]
-C[C@@H](Nc1c[nH]c2ccc(Br)cc12)C(C)(C)O; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3ccc(-n4cncn4)cc3)c2c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1c[nH]c2ccc(Br)cc12; ['Brc1ccc2[nH]ccc2c1']; ['Cc1nc[nH]c1Cl']; [0.991533458]
-CSc1nc(C)c(-c2c[nH]c3ccc(Br)cc23)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Cn1cnnc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-O=C(CCc1c[nH]c2ccc(Br)cc12)NCc1ccccn1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3nncn3C3CC3)c2c1; [None]; [None]; [0]
-C[C@@H](Nc1c[nH]c2ccc(Br)cc12)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2c[nH]c3ccc(Br)cc23)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2c[nH]c3ccc(Br)cc23)nc(N)n1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cn(Cc4ccccc4)nn3)c2c1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3csc(N4CCOCC4)n3)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c[nH]c3ccc(Br)cc23)s1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(CC3CCOCC3)c2c1; ['Brc1ccc2[nH]ccc2c1']; ['O=CC1CCOCC1']; [0.986038387]
-CC(=O)Nc1ncc(-c2c[nH]c3ccc(Br)cc23)[nH]1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3ncc4ccccc4n3)c2c1; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cnccc3N3CCOCC3)c2c1; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c3ccc(Br)cc23)c(=O)n1C; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3ncc4cc[nH]c4n3)c2c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2c[nH]c3ccc(Br)cc23)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-c1ccc(Cc2cccc3cnccc23)cc1; ['BrCc1ccccc1']; ['OB(O)c1cccc2cnccc12']; [0.994317234]
-CN(C)c1cc(-c2c[nH]c3ccc(Br)cc23)cnn1; [None]; [None]; [0]
-O[C@H]1C[C@@H](Cc2cccc3cnccc23)C1; [None]; [None]; [0]
-CNC(=O)c1ccccc1Cc1cccc2cnccc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2Cc2cccc3cnccc23)[nH]1; [None]; [None]; [0]
-CCOc1ccccc1Cc1cccc2cnccc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1Cc1cccc2cnccc12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1Cc1cccc2cnccc12; [None]; [None]; [0]
-c1cc(Cc2ccnc3ccccc23)c2ccncc2c1; [None]; [None]; [0]
-c1cc(Cc2cc[nH]n2)c2ccncc2c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(Cc2cccc3cnccc23)c1; ['Brc1cccc2cnccc12']; ['FC(F)(F)c1cccc(C[Zn]Br)c1']; [0.999027967]
-Cc1cccc(Cc2cccc3cnccc23)c1; ['Cc1cccc(CBr)c1', 'Brc1cccc2cnccc12']; ['OB(O)c1cccc2cnccc12', 'Cc1cccc(CBr)c1']; [0.998235583, 0.998235583]
-c1cc(CC2CCOCC2)c2ccncc2c1; [None]; [None]; [0]
-c1cncc(Cc2cccc3cnccc23)c1; ['Brc1cccc2cnccc12']; ['Cc1cccnc1']; [0.915740728]
-Fc1ccccc1Cc1cccc2cnccc12; ['Fc1ccccc1CCl', 'Clc1cccc2cnccc12', 'Brc1cccc2cnccc12']; ['OB(O)c1cccc2cnccc12', 'Fc1ccccc1CCl', 'Fc1ccccc1CBr']; [0.99655813, 0.99655813, 0.99655813]
-Clc1ccccc1Cc1cccc2cnccc12; ['Clc1ccccc1CBr']; ['OB(O)c1cccc2cnccc12']; [0.993944347]
-N#Cc1ccccc1Cc1cccc2cnccc12; [None]; [None]; [0]
-Brc1ccccc1Cc1cccc2cnccc12; ['BrCc1ccccc1Br']; ['OB(O)c1cccc2cnccc12']; [0.981020808]
-FC(F)(F)Oc1ccccc1Cc1cccc2cnccc12; ['FC(F)(F)Oc1ccccc1CBr']; ['OB(O)c1cccc2cnccc12']; [0.999213]
-NC(=O)c1ccccc1Cc1cccc2cnccc12; [None]; [None]; [0]
-c1ccc(Cn2cc(Cc3cccc4cnccc34)cn2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccccc1Cc1cccc2cnccc12; [None]; [None]; [0]
-c1ccc(-c2ncc(Cc3cccc4cnccc34)[nH]2)cc1; [None]; [None]; [0]
-c1cc(Cc2ccncn2)c2ccncc2c1; [None]; [None]; [0]
-Fc1cccc(F)c1Cc1cccc2cnccc12; ['Fc1cccc(F)c1CCl']; ['c1ccc2cnccc2c1']; [0.973528624]
-CC(C)(C)c1nc(Cc2cccc3cnccc23)cs1; [None]; [None]; [0]
-O=C(Nc1cccc(Cc2cccc3cnccc23)c1)c1ccccc1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](Cc2cccc3cnccc23)CO1; [None]; [None]; [0]
-OCCn1cc(Cc2cccc3cnccc23)cn1; [None]; [None]; [0]
-c1cc(CC2CCCCC2)c2ccncc2c1; ['Br[Mg]CC1CCCCC1']; ['Clc1cccc2cnccc12']; [0.976823]
-c1cc(Cc2ccc3c(c2)CCC3)c2ccncc2c1; [None]; [None]; [0]
-Cc1ccc(Cc2cccc3cnccc23)c(Br)c1; [None]; [None]; [0]
-COc1cnc(Cc2cccc3cnccc23)nc1; [None]; [None]; [0]
-c1cc(Cc2cnco2)c2ccncc2c1; [None]; [None]; [0]
-c1cc(Cc2cnc3ccccn23)c2ccncc2c1; [None]; [None]; [0]
-Cc1nc(C)c(Cc2cccc3cnccc23)s1; [None]; [None]; [0]
-Cc1nc(N)sc1Cc1cccc2cnccc12; [None]; [None]; [0]
-Cc1nc2ccccn2c1Cc1cccc2cnccc12; [None]; [None]; [0]
-c1cc(Cc2cccc3cnccc23)cc(Cn2cncn2)c1; [None]; [None]; [0]
-c1cc(Cc2cnc3cccnn23)c2ccncc2c1; [None]; [None]; [0]
-CNc1nc(C)c(Cc2cccc3cnccc23)s1; [None]; [None]; [0]
-Clc1cccc(Cl)c1Cc1cccc2cnccc12; ['Clc1cccc(Cl)c1CBr']; ['OB(O)c1cccc2cnccc12']; [0.999920607]
-Cc1ccc(Cl)c(Cc2cccc3cnccc23)c1; [None]; [None]; [0]
-Clc1cccc(Cc2cccc3cnccc23)c1Cl; [None]; [None]; [0]
-COc1cccc(Cc2cccc3cnccc23)c1; ['COc1cccc(CBr)c1']; ['OB(O)c1cccc2cnccc12']; [0.998693526]
-Cc1ncc(Cc2cccc3cnccc23)[nH]1; [None]; [None]; [0]
-Nc1nccc(Cc2cccc3cnccc23)n1; [None]; [None]; [0]
-c1ccc2cc(Cc3cccc4cnccc34)ccc2c1; ['Brc1cccc2cnccc12']; ['ClCc1ccc2ccccc2c1']; [0.999652863]
-c1cc(Cn2cnc3ccccc32)c2ccncc2c1; [None]; [None]; [0]
-Clc1ccc(Cc2cccc3cnccc23)s1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(Cc2cccc3cnccc23)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cc3cccc4cnccc34)cc2)cn1; [None]; [None]; [0]
-c1cc(Cc2cncc3ccccc23)c2ccncc2c1; [None]; [None]; [0]
-Nc1[nH]nc2cc(Cc3cccc4cnccc34)ccc12; [None]; [None]; [0]
-CCCn1cnc(Cc2cccc3cnccc23)n1; [None]; [None]; [0]
-Cn1ncc2cc(Cc3cccc4cnccc34)ccc21; [None]; [None]; [0]
-Oc1cccc(Cc2cccc3cnccc23)c1; [None]; [None]; [0]
-OCc1cccc(Cc2cccc3cnccc23)c1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](Cc2cccc3cnccc23)C1; [None]; [None]; [0]
-Cn1cncc1Cc1cccc2cnccc12; [None]; [None]; [0]
-c1coc(Cc2cccc3cnccc23)c1; [None]; [None]; [0]
-c1csc(Cc2cccc3cnccc23)c1; [None]; [None]; [0]
-CSc1nc(Cc2cccc3cnccc23)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1Cc1cccc2cnccc12; [None]; [None]; [0]
-Cn1cc(Cc2cccc3cnccc23)cn1; [None]; [None]; [0]
-N#CCCc1cccc(Cc2cccc3cnccc23)c1; [None]; [None]; [0]
-CCNc1nc2ccc(Cc3cccc4cnccc34)cc2s1; [None]; [None]; [0]
-Fc1ccc(Cc2cccc3cnccc23)c(C(F)(F)F)c1; ['Fc1ccc(CBr)c(C(F)(F)F)c1']; ['OB(O)c1cccc2cnccc12']; [0.998811722]
-c1cc(Cc2csc3ncncc23)c2ccncc2c1; [None]; [None]; [0]
-COc1ccc(Cc2cccc3cnccc23)cc1Cl; ['COc1ccc(CBr)cc1Cl']; ['OB(O)c1cccc2cnccc12']; [0.994113624]
-CCC(=O)Nc1ccc(Cc2cccc3cnccc23)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(Cc2cccc3cnccc23)c1; [None]; [None]; [0]
-c1cc(Cc2cnn3ccccc23)c2ccncc2c1; [None]; [None]; [0]
-Cn1cc(Cc2cccc3cnccc23)c2ccccc21; [None]; [None]; [0]
-c1cc(Cc2cnoc2)c2ccncc2c1; [None]; [None]; [0]
-CCCn1cc(Cc2cccc3cnccc23)cn1; [None]; [None]; [0]
-Cc1cc(Cc2cccc3cnccc23)no1; [None]; [None]; [0]
-O=C1CCc2cccc(Cc3cccc4cnccc34)c21; [None]; [None]; [0]
-O=c1cc(Cc2cccc3cnccc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(Cc2cccc3cnccc23)cc[nH]1; [None]; [None]; [0]
-CC(C)(N)c1ccc(Cc2cccc3cnccc23)cc1; [None]; [None]; [0]
-O=C([O-])c1cc(Cc2cccc3cnccc23)ccc1Cl; [None]; [None]; [0]
-O=c1[nH]ccc2oc(Cc3cccc4cnccc34)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(Cc2cccc3cnccc23)cc1; [None]; [None]; [0]
-c1cc(Cc2c[nH]c3ccccc23)c2ccncc2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1Cc1cccc2cnccc12; [None]; [None]; [0]
-c1cc(Cc2c[nH]c3cnccc23)c2ccncc2c1; [None]; [None]; [0]
-c1cc(Cc2cnc3[nH]ccc3c2)c2ccncc2c1; [None]; [None]; [0]
-CC1(Cc2cccc3cnccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](Cc2cccc3cnccc23)C1; [None]; [None]; [0]
-N#C[C@H]1CC[C@H](Cc2cccc3cnccc23)CC1; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](Cc2cccc3cnccc23)C1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](Cc2cccc3cnccc23)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1Cc1cccc2cnccc12; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](Cc2cccc3cnccc23)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(Cc2cccc3cnccc23)cc1; [None]; [None]; [0]
-c1cc(Cc2ccc(N3CCOCC3)cc2)c2ccncc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cc2cccc3cnccc23)cc1; ['CS(=O)(=O)c1ccc(CBr)cc1']; ['OB(O)c1cccc2cnccc12']; [0.996705592]
-CNS(=O)(=O)c1ccc(Cc2cccc3cnccc23)cc1; [None]; [None]; [0]
-OCCc1cn(Cc2cccc3cnccc23)cn1; [None]; [None]; [0]
-OCc1ccn(Cc2cccc3cnccc23)n1; [None]; [None]; [0]
-Cc1cc(Cc2cccc3cnccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Oc1cccc2c1cnn2Cc1cccc2cnccc12; [None]; [None]; [0]
-c1cc(Cn2ncc3ccccc32)c2ccncc2c1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1Cc1cccc2cnccc12; [None]; [None]; [0]
-Oc1ncccc1Cc1cccc2cnccc12; [None]; [None]; [0]
-c1cc(Cc2ccc(-n3cncn3)cc2)c2ccncc2c1; [None]; [None]; [0]
-c1cc(Cc2nc[nH]n2)c2ccncc2c1; [None]; [None]; [0]
-CSc1nc(C)c(Cc2cccc3cnccc23)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1Cc1cccc2cnccc12; [None]; [None]; [0]
-Oc1ccc2nc(Cc3cccc4cnccc34)[nH]c2c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(Cc2cccc3cnccc23)cc1; [None]; [None]; [0]
-COc1ccc(Cc2cccc3cnccc23)c(OC)c1; [None]; [None]; [0]
-CC(C)n1cnnc1Cc1cccc2cnccc12; [None]; [None]; [0]
-Cn1cnnc1Cc1cccc2cnccc12; [None]; [None]; [0]
-c1cc(Cc2nncn2C2CC2)c2ccncc2c1; [None]; [None]; [0]
-c1ccc(Cn2cc(Cc3cccc4cnccc34)nn2)cc1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1Cc1cccc2cnccc12; [None]; [None]; [0]
-CCc1cc(Cc2cccc3cnccc23)nc(N)n1; [None]; [None]; [0]
-c1cc(Cn2ccnc2)c2ccncc2c1; [None]; [None]; [0]
-Nc1ncc(Cc2cccc3cnccc23)s1; [None]; [None]; [0]
-Nc1nnc(Cc2cccc3cnccc23)s1; [None]; [None]; [0]
-CCCCc1cc(Cc2cccc3cnccc23)nc(N)n1; [None]; [None]; [0]
-Cc1cncc(Cc2cccc3cnccc23)n1; ['Brc1cccc2cnccc12']; ['Cc1cncc(C)n1']; [0.802249551]
-CNC(=O)c1ccc(Cc2cccc3cnccc23)s1; [None]; [None]; [0]
-c1cc(Cc2csc(N3CCOCC3)n2)c2ccncc2c1; [None]; [None]; [0]
-COc1cccc(F)c1Cc1cccc2cnccc12; [None]; [None]; [0]
-c1cc(Cc2nc3ccccc3s2)c2ccncc2c1; [None]; [None]; [0]
-c1cc(Cc2cccc3ccsc23)c2ccncc2c1; [None]; [None]; [0]
-c1ccc2nc(Cc3cccc4cnccc34)ncc2c1; [None]; [None]; [0]
-c1cc(Cc2c[nH]c3cccnc23)c2ccncc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(Cc2cccc3cnccc23)[nH]1; [None]; [None]; [0]
-Cn1cc(Cc2cccc3cnccc23)c(=O)n1C; [None]; [None]; [0]
-c1cc(Cc2ncc3cc[nH]c3n2)c2ccncc2c1; [None]; [None]; [0]
-c1cc(Cc2cnccc2N2CCOCC2)c2ccncc2c1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](Cc2cccc3cnccc23)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cccc3cnccc23)c1; ['Brc1cccc2cnccc12']; ['COc1ccc(OC)c(CCl)c1']; [0.999180138]
-COc1ccc(C#N)cc1Cc1cccc2cnccc12; [None]; [None]; [0]
-CN(C)c1cc(Cc2cccc3cnccc23)cnn1; [None]; [None]; [0]
-c1cc(CN2CCC(c3nc4ccccc4[nH]3)CC2)c2ccncc2c1; ['O=Cc1cccc2cnccc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999579728]
-Cc1cc(C)cc(Cc2cccc3cnccc23)c1; ['Cc1cc(C)cc(CBr)c1']; ['OB(O)c1cccc2cnccc12']; [0.998902082]
-COC(C)(C)CCc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccccc3)cc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc3c(C#N)ccnc3[nH]2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cccc(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(C3CCOCC3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(C3CCCCC3)cc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc3c(C#N)ccnc3[nH]2)cs1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccccc3C(=O)[O-])cc12; [None]; [None]; [0]
-COc1cnc(-c2cc3c(C#N)ccnc3[nH]2)nc1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(CC3CCCCC3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c([C@@H]3CC[C@@H](CO)OC3)cc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc3c(C#N)ccnc3[nH]2)s1; [None]; [None]; [0]
-CC(C)C(=O)COc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(NCCc3c[nH]cn3)cc12; [None]; [None]; [0]
-CCC(C)(C)c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc(CC(=O)[O-])c3)cc12; [None]; [None]; [0]
-CCCCc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(NCCc3ccccc3)cc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cc4c(C#N)ccnc4[nH]3)cc2)cn1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccc4c(N)[nH]nc4c3)cc12; [None]; [None]; [0]
-CCCn1cnc(-c2cc3c(C#N)ccnc3[nH]2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4c(C#N)ccnc4[nH]3)ccc21; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c([C@@H]3CCC[C@H]([NH3+])C3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(CCC[NH3+])cc12; [None]; [None]; [0]
-CSc1nc(-c2cc3c(C#N)ccnc3[nH]2)c[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3csc4ncncc34)cc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc4c(C#N)ccnc4[nH]3)cc2s1; [None]; [None]; [0]
-Cn1cc(-c2cc3c(C#N)ccnc3[nH]2)c2ccccc21; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cc3c(C#N)ccnc3[nH]2)CC1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(OC(F)(F)F)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnn4ccccc34)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cc[nH]c(=O)c3)cc12; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-C[C@H](c1cc2c(C#N)ccnc2[nH]1)C(F)(F)F; [None]; [None]; [0]
-COc1cc(CCc2cc3c(C#N)ccnc3[nH]2)cc(OC)c1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccn([C@@H2]CO)c(=O)c3)cc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnc4[nH]ccc4c3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c([C@@H]3CC[C@@H](NC(=O)O)C3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccc(Cl)c(C(=O)[O-])c3)cc12; [None]; [None]; [0]
-Cc1cc(-c2cc3c(C#N)ccnc3[nH]2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CC1(c2cc3c(C#N)ccnc3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cc3c(C#N)ccnc3[nH]2)CC1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-n3ccc(CO)n3)cc12; [None]; [None]; [0]
-C[C@H](Nc1cc2c(C#N)ccnc2[nH]1)C(C)(C)C; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-n3cnc(CCO)c3)cc12; [None]; [None]; [0]
-C[C@H](Nc1cc2c(C#N)ccnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cc2c(C#N)ccnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3nc[nH]n3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc3c(C#N)ccnc3[nH]2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-Cn1cnnc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cn(Cc4ccccc4)nn3)cc12; [None]; [None]; [0]
-C[C@@H](Nc1cc2c(C#N)ccnc2[nH]1)C(C)(C)C; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(CCC(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
-CCCCc1cc(-c2cc3c(C#N)ccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)s1; [None]; [None]; [0]
-CCc1cc(-c2cc3c(C#N)ccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c([C@H]3CCCN3C(N)=O)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(CC3CCOCC3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3csc(N4CCOCC4)n3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
-Cn1cc(-c2cc3c(C#N)ccnc3[nH]2)c(=O)n1C; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc3c(C#N)ccnc3[nH]2)[nH]1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc3c(C#N)ccnc3[nH]2)cnn1; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(O[C@@H]3CC[C@H](O)CC3)cc12; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cnccc3N3CCOCC3)cc12; [None]; [None]; [0]
-C(=Cc1c[nH]c2cnccc12)c1ccccn1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
-N#Cc1ccc(-c2csc(-c3ccccc3)n2)cc1; ['N#Cc1ccc(C(=O)CBr)cc1']; ['NC(=S)c1ccccc1']; [0.999999762]
-CCOc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3csc(-c4ccccc4)n3)CC2)c1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ncc4ccccc4n3)cs2)cc1; [None]; [None]; [0]
-COc1ncccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Cn1nncc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3csc(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
-COc1cc(-c2csc(-c3ccccc3)n2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1cc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cnc4cccnn34)cs2)cc1; [None]; [None]; [0]
-Oc1cccc(-c2csc(-c3ccccc3)n2)c1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1cccc(O)c1']; [0.999999404]
-Cc1nn(C)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ccc(N4CCOCC4)cc3)cs2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2csc(-c3ccccc3)n2)c1)C1CC1; [None]; [None]; [0]
-COc1ccc(-c2csc(-c3ccccc3)n2)cc1; ['COc1ccc(C(=O)CBr)cc1']; ['NC(=S)c1ccccc1']; [0.999997735]
-c1ccc(-c2csc(-c3ccccc3)n2)cc1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1ccccc1']; [0.999997497]
-CS(=O)(=O)Nc1ccc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3nc4ccccc4[nH]3)cs2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2csc(-c3ccccc3)n2)sn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-c1ccc(-c2nc(Nc3ncccn3)cs2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Fc1cccc(-c2csc(-c3ccccc3)n2)c1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1cccc(F)c1']; [0.999995708]
-NC(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-OCCOc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(Cc3nccc4ccccc34)cs2)cc1; [None]; [None]; [0]
-O=C(Nc1csc(-c2ccccc2)n1)C1CC1; [None]; [None]; [0]
-Clc1ccc(-c2csc(-c3ccccc3)n2)cc1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1ccc(Cl)cc1']; [0.999999404]
-O=C(c1ccc(-c2csc(-c3ccccc3)n2)cc1)N1CCOCC1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cccc(C4CCNCC4)c3)cs2)cc1; [None]; [None]; [0]
-Cc1cc(-c2csc(-c3ccccc3)n2)nn1C; [None]; [None]; [0]
-O=C(c1ccc(-c2csc(-c3ccccc3)n2)nc1)N1CCOCC1; [None]; [None]; [0]
-c1ccc(-c2nc(Nc3ccncn3)cs2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(Cc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2csc(-c3ccccc3)n2)cc1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1ccc(C(F)(F)F)cc1']; [0.999998689]
-CNS(=O)(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Oc1ccccc1Cc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(Cc3ccncc3)cs2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2csc(-c3ccccc3)n2)s1; [None]; [None]; [0]
-c1ccc(-c2nc(C3CCCCC3)cs2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-c1ccc(-c2nc(Cc3cncnc3)cs2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(Cc3cccnc3)cs2)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-OC[C@@H](O)Cc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2csc(-c3ccccc3)n2)C1; [None]; [None]; [0]
-Clc1ncc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cncnc3)cs2)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Brc1ccc(-c2csc(-c3ccccc3)n2)cc1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1ccc(Br)cc1']; [0.999996781]
-c1ccc(-c2nc(-n3ccnc3)cs2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cn[nH]c3)cs2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-COc1cc(OC)c(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-c1ccc(-c2nc(-c3c[nH]c4ccccc34)cs2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ccc4c(c3)CCO4)cs2)cc1; ['NC(=S)c1ccccc1']; ['O=C(CCl)c1ccc2c(c1)CCO2']; [0.999999762]
-c1ccc(-c2nc(-c3ccc[nH]3)cs2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cc(N4CCOCC4)ccn3)cs2)cc1; [None]; [None]; [0]
-Cc1cc(-c2csc(-c3ccccc3)n2)sn1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3csc(-c4ccccc4)n3)n[nH]2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cc4ccccc4cn3)cs2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(Cn3ccnc3)cs2)cc1; [None]; [None]; [0]
-COc1cc(-c2csc(-c3ccccc3)n2)ccc1O; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3csc(-c4ccccc4)n3)CC2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3scc4c3OCCO4)cs2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2csc(-c3ccccc3)n2)cc1F; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1ccc(F)c(F)c1']; [0.999996185]
-c1ccc(-c2nc(-c3cccc4c3OCO4)cs2)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cnc4ccccc4c3)cs2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-COCCOc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CC1(COc2csc(-c3ccccc3)n2)COC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ccco3)cs2)cc1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1ccco1']; [0.999995589]
-COc1cccc(C(=O)Nc2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3csc(-c4ccccc4)n3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2csc(-c3ccccc3)n2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-c1ccc(-c2nc(C3CCOCC3)cs2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2csc(-c3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2csc(-c3ccccc3)n2)C1; [None]; [None]; [0]
-COc1ccc(-c2csc(-c3ccccc3)n2)cc1OC; ['COc1ccc(C(=O)CBr)cc1OC']; ['NC(=S)c1ccccc1']; [0.999999642]
-OC[C@H](Cc1ccccc1)c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Brc1cnc(-c2csc(-c3ccccc3)n2)nc1; [None]; [None]; [0]
-CCCCCc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CCc1ccc(-c2csc(-c3ccccc3)n2)cc1; ['CCc1ccc(C(=O)CBr)cc1']; ['NC(=S)c1ccccc1']; [0.999999046]
-c1ccc(-c2nc(-c3ccsc3)cs2)cc1; [None]; [None]; [0]
-COc1ccc(CNc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CC[NH+](CC)c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Clc1ccc(-c2csc(-c3ccccc3)n2)c(Cl)c1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1ccc(Cl)cc1Cl']; [1.0]
-c1ccc(-c2nc(CCCn3cncn3)cs2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ncc4cccn4n3)cs2)cc1; [None]; [None]; [0]
-COc1cc(-c2csc(-c3ccccc3)n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2csc(-c3ccccc3)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cc4ccccn4n3)cs2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ccc(N4CCCCC4)cc3)cs2)cc1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3csc(-c4ccccc4)n3)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3csc(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2csc(-c3ccccc3)n2)cc1OC; [None]; [None]; [0]
-Oc1ccc2cccc(-c3csc(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
-COc1cc(-c2csc(-c3ccccc3)n2)ccc1Cl; [None]; [None]; [0]
-Cc1csc2c(-c3csc(-c4ccccc4)n3)ncnc12; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cccc(-n4nccn4)c3)cs2)cc1; [None]; [None]; [0]
-Clc1cnc(-c2csc(-c3ccccc3)n2)nc1; [None]; [None]; [0]
-Cc1nc(Nc2csc(-c3ccccc3)n2)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2csc(-c3ccccc3)n2)nn1C; [None]; [None]; [0]
-Cc1ccc(-c2csc(-c3ccccc3)n2)o1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-COc1cc(-c2csc(-c3ccccc3)n2)c(OC)cc1Br; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-O=C(Nc1csc(-c2ccccc2)n1)c1ccco1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Fc1cc2c(c(-c3csc(-c4ccccc4)n3)c1)OCOC2; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ccc4cn[nH]c4c3)cs2)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3csc(-c4ccccc4)n3)cc2c1; [None]; [None]; [0]
-CC(C)Oc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cc(-c4cccnc4)ccn3)cs2)cc1; [None]; [None]; [0]
-CCn1cc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cc4ccccc4o3)cs2)cc1; [None]; [None]; [0]
-Cc1nc(-c2csc(-c3ccccc3)n2)c2sccc2n1; [None]; [None]; [0]
-COC(=O)Nc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ncc4sccc4n3)cs2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Clc1ccc2nc(-c3csc(-c4ccccc4)n3)ncc2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-COc1ccc2nc(-c3csc(-c4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cscn3)cs2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2csc(-c3ccccc3)n2)c1)N1CCCC1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2csc(-c3ccccc3)n2)cc1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1ccc(OC(F)(F)F)cc1']; [0.999999762]
-C[C@H]1CCCN1c1cccc(-c2csc(-c3ccccc3)n2)n1; [None]; [None]; [0]
-Cn1cc(-c2csc(-c3ccccc3)n2)c2ccccc21; [None]; [None]; [0]
-Cc1cc(-c2csc(-c3ccccc3)n2)cc(C)c1OCCO; [None]; [None]; [0]
-CCc1cccc(-c2csc(-c3ccccc3)n2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3csc(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-c3csc(-c4ccccc4)n3)ccc21; [None]; [None]; [0]
-Cc1ccc(-c2csc(-c3ccccc3)n2)nc1C; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-FC1(F)CCC(c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-O=S1(=O)CCC(c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-C[NH+](C)CCCc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-c1ccc(-c2nc(CC3CCOCC3)cs2)cc1; [None]; [None]; [0]
-OCCc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2csc(-c3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2csc(-c3ccccc3)n2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Fc1ccc(Nc2csc(-c3ccccc3)n2)nc1; [None]; [None]; [0]
-c1ccc(-c2nc(Nc3ccccn3)cs2)cc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-Oc1ccc(-c2csc(-c3ccccc3)n2)cc1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1ccc(O)cc1']; [0.99999845]
-Cc1ccc(C(=O)NCCO)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-Oc1cc(-c2csc(-c3ccccc3)n2)ccc1Cl; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ccncc3)cs2)cc1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1ccncc1']; [0.999998331]
-c1ccc(-c2nc(-c3cccc4ncccc34)cs2)cc1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1csc(-c2ccccc2)n1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1c(F)cccc1F']; [0.999988079]
-Clc1cccc(Cl)c1-c1csc(-c2ccccc2)n1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1c(Cl)cccc1Cl']; [0.999974489]
-c1ccc(-c2nc(-c3n[nH]c4ccccc34)cs2)cc1; [None]; [None]; [0]
-Cc1ccccc1-c1csc(-c2ccccc2)n1; ['Cc1ccccc1C(=O)CBr']; ['NC(=S)c1ccccc1']; [0.999999881]
-NC(=O)c1ccc(-c2csc(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
-Oc1ccc(-c2csc(-c3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
-Cn1c(-c2csc(-c3ccccc3)n2)nc2ccccc21; [None]; [None]; [0]
-Nc1nccc(-c2csc(-c3ccccc3)n2)n1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2csc(-c3ccccc3)n2)C1; [None]; [None]; [0]
-Fc1ccc(Oc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1ncc(-c2csc(-c3ccccc3)n2)[nH]1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cc[nH]c3)cs2)cc1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Clc1ccccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2csc(-c3ccccc3)n2)o1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cnccn3)cs2)cc1; [None]; [None]; [0]
-N#Cc1cnc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
-COc1cc(CCc2csc(-c3ccccc3)n2)ccc1O; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ccoc3)cs2)cc1; [None]; [None]; [0]
-Brc1cccc(-c2csc(-c3ccccc3)n2)c1; ['NC(=S)c1ccccc1']; ['O=C(CBr)c1cccc(Br)c1']; [0.99999845]
-Clc1cccc(OCc2csc(-c3ccccc3)n2)c1; ['ClCc1csc(-c2ccccc2)n1']; ['Oc1cccc(Cl)c1']; [0.999949336]
-OCCCc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cccs3)cs2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-Oc1ccc(-c2csc(-c3ccccc3)n2)c(O)c1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ccncn3)cs2)cc1; [None]; [None]; [0]
-Clc1ccccc1OCc1csc(-c2ccccc2)n1; ['ClCc1csc(-c2ccccc2)n1']; ['Oc1ccccc1Cl']; [0.999588788]
-Cc1ccc(O)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Clc1ccc(CCc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2csc(-c3ccccc3)n2)cc1C; ['Cc1ccc(C(=O)CBr)cc1C']; ['NC(=S)c1ccccc1']; [0.999999881]
-Oc1ccc(Cl)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Oc1ncc(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-O=c1ccccn1Cc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1csc(-c3ccccc3)n1)OCO2; [None]; [None]; [0]
-COCCCc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1nc2ccc(-c3csc(-c4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
-NC(=O)c1cc(-c2csc(-c3ccccc3)n2)c[nH]1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3nnco3)cs2)cc1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3csc(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cnc4[nH]ccc4c3)cs2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1nnc(-c2csc(-c3ccccc3)n2)o1; ['CC(=O)O']; ['NNC(=O)c1csc(-c2ccccc2)n1']; [0.998687088]
-Oc1cncc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; ['CS(=O)(=O)c1ccc(C(=O)CBr)cc1']; ['NC(=S)c1ccccc1']; [0.999999404]
-O=C1Cc2cc(-c3csc(-c4ccccc4)n3)ccc2N1; ['NC(=S)c1ccccc1']; ['O=C1Cc2cc(C(=O)CCl)ccc2N1']; [0.999991536]
-c1ccc(-c2nc(-c3nc4ccccc4s3)cs2)cc1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CNc1nccc(-c2csc(-c3ccccc3)n2)n1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Fc1cnc(-c2csc(-c3ccccc3)n2)nc1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Brc1ccc(-c2csc(-c3ccccc3)n2)o1; [None]; [None]; [0]
-CCc1sccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ccc4c(c3)CCN4)cs2)cc1; [None]; [None]; [0]
-Nc1cc(-c2csc(-c3ccccc3)n2)[nH]n1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3nccs3)cs2)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3csc(-c4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Nc1cc(-c2csc(-c3ccccc3)n2)n[nH]1; [None]; [None]; [0]
-c1ccc(-c2nc(Nc3ccncc3)cs2)cc1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3csc(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3nncs3)cs2)cc1; [None]; [None]; [0]
-Cc1n[nH]c(-c2csc(-c3ccccc3)n2)c1C; [None]; [None]; [0]
-[O-]c1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
-Cc1ccc(-c2csc(-c3ccccc3)n2)c(C)n1; [None]; [None]; [0]
-Cc1csc(-c2csc(-c3ccccc3)n2)n1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3cnco3)cs2)cc1; [None]; [None]; [0]
-Cc1cc(-c2csc(-c3ccccc3)n2)ccc1C(N)=O; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Oc1c(F)cc(-c2csc(-c3ccccc3)n2)cc1F; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3csc(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3csc(-c4ccccc4)n3)cc2o1; [None]; [None]; [0]
-c1ccc(COc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-c1ccc(-c2nc(CCc3c[nH]c4ccccc34)cs2)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2csc(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Fc1ccccc1Oc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-c1ccc(-c2nc(OCc3cccc4ccccc34)cs2)cc1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Fc1ccc(COc2csc(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Fc1ccc(CCc2csc(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1csc(-c2ccccc2)n1; [None]; [None]; [0]
-COC(C)(C)CCc1cccc2sccc12; [None]; [None]; [0]
-Fc1ccc(Cc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc3sccc23)[nH]1; [None]; [None]; [0]
-c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['OB(O)c1ccccc1']; [0.99352771]
-COc1ccc(F)cc1[C@@H](C)c1cccc2sccc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
-Cc1cccc(-c2cccc3sccc23)c1; ['Brc1cccc2sccc12']; ['Cc1cccc(B(O)O)c1']; [0.997970879]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
-c1cc(C2CCOCC2)c2ccsc2c1; [None]; [None]; [0]
-c1cc(C2CCCCC2)c2ccsc2c1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cccc3sccc23)CO1; [None]; [None]; [0]
-c1cc(CC2CCCCC2)c2ccsc2c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc3sccc23)cs1; [None]; [None]; [0]
-CC(C)C(=O)COc1cccc2sccc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc3sccc23)s1; [None]; [None]; [0]
-COc1cnc(-c2cccc3sccc23)nc1; ['Brc1cccc2sccc12']; ['COc1cnc(Cl)nc1']; [0.996102691]
-c1cc(Cn2cncn2)cc(-c2cccc3sccc23)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['Cc1cn2ccccc2n1']; [0.998106837]
-c1cc(NCCc2c[nH]cn2)c2ccsc2c1; ['Clc1cccc2sccc12']; ['NCCc1c[nH]cn1']; [0.989792943]
-CCC(C)(C)c1cccc2sccc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cccc2sccc12; [None]; [None]; [0]
-CCCCc1cccc2sccc12; ['Brc1cccc2sccc12']; ['CCCCI']; [0.953398347]
-c1ccc(CCNc2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['NCCc1ccccc1']; [0.98841989]
-O=C([O-])Cc1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cccc4sccc34)ccc21; ['Brc1cccc2sccc12']; ['Cn1ncc2cc(B(O)O)ccc21']; [0.999999046]
-Nc1[nH]nc2cc(-c3cccc4sccc34)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cccc4sccc34)cc2)cn1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccc2sccc12; [None]; [None]; [0]
-[NH3+]CCCc1cccc2sccc12; [None]; [None]; [0]
-CSc1nc(-c2cccc3sccc23)c[nH]1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc3sccc23)n1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc2sccc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc4sccc34)cc2s1; [None]; [None]; [0]
-FC(F)(F)Oc1cccc2sccc12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cccc3sccc23)C1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccc3sccc23)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1cccc2sccc12']; [0.997296631]
-C[C@H](c1cccc2sccc12)C(F)(F)F; [None]; [None]; [0]
-c1cc(-c2csc3ncncc23)c2ccsc2c1; [None]; [None]; [0]
-O=c1cc(-c2cccc3sccc23)cc[nH]1; [None]; [None]; [0]
-O=c1cc(-c2cccc3sccc23)ccn1[C@@H2]CO; [None]; [None]; [0]
-Cn1cc(-c2cccc3sccc23)c2ccccc21; [None]; [None]; [0]
-c1cc(-c2cnn3ccccc23)c2ccsc2c1; [None]; [None]; [0]
-COc1cc(CCc2cccc3sccc23)cc(OC)c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2cccc3sccc23)ccc1Cl; [None]; [None]; [0]
-c1cc(-c2cnc3[nH]ccc3c2)c2ccsc2c1; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1']; [0.999999881, 0.999999881]
-CC(C)(C)NC(=O)Nc1cccc2sccc12; ['CC(C)(C)N=C=O', 'Brc1cccc2sccc12']; ['Nc1cccc2sccc12', 'CC(C)(C)NC(N)=O']; [0.999941707, 0.999941707]
-CC1(c2cccc3sccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-c1cc(-c2ccc(N3CCOCC3)cc2)c2ccsc2c1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccc2sccc12; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cccc3sccc23)C1; [None]; [None]; [0]
-OCc1ccn(-c2cccc3sccc23)n1; [None]; [None]; [0]
-OCCc1cn(-c2cccc3sccc23)cn1; [None]; [None]; [0]
-Cc1cc(-c2cccc3sccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@@H](Nc1cccc2sccc12)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cccc2sccc12)C(C)(C)O; [None]; [None]; [0]
-C[C@H](Nc1cccc2sccc12)C(C)(C)C; ['CC(O)C(C)(C)C']; ['Nc1cccc2sccc12']; [0.98004961]
-c1cc(-c2ccc(-n3cncn3)cc2)c2ccsc2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc3sccc23)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccc2sccc12; [None]; [None]; [0]
-c1cc(-c2nc[nH]n2)c2ccsc2c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cccc2sccc12; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cccc2sccc12; [None]; [None]; [0]
-Cn1cnnc1-c1cccc2sccc12; [None]; [None]; [0]
-c1cc(-c2nncn2C2CC2)c2ccsc2c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc2sccc12; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cccc4sccc34)nn2)cc1; [None]; [None]; [0]
-C[C@@H](Nc1cccc2sccc12)C(C)(C)C; ['Brc1cccc2sccc12', 'C[C@@H](N)C(C)(C)C']; ['C[C@@H](N)C(C)(C)C', 'Nc1cccc2sccc12']; [0.998313308, 0.998313308]
-CCCCc1cc(-c2cccc3sccc23)nc(N)n1; [None]; [None]; [0]
-O=C(CCc1cccc2sccc12)NCc1ccccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3sccc23)s1; [None]; [None]; [0]
-CCc1cc(-c2cccc3sccc23)nc(N)n1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cccc2sccc12; [None]; [None]; [0]
-c1ccc2nc(-c3cccc4sccc34)ncc2c1; [None]; [None]; [0]
-c1cc(CC2CCOCC2)c2ccsc2c1; ['Brc1cccc2sccc12']; ['ICC1CCOCC1']; [0.993539035]
-c1cc(-c2csc(N3CCOCC3)n2)c2ccsc2c1; [None]; [None]; [0]
-Cn1cc(-c2cccc3sccc23)c(=O)n1C; [None]; [None]; [0]
-c1cc(-c2ncc3cc[nH]c3n2)c2ccsc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc3sccc23)[nH]1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2cccc3sccc23)CC1; [None]; [None]; [0]
-c1cc(-c2cnccc2N2CCOCC2)c2ccsc2c1; [None]; [None]; [0]
-CN(C)c1cc(-c2cccc3sccc23)cnn1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cccc4sccc34)c2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccc2sccc12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cccc3sccc23)c1)C1CC1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cccc4sccc34)CC2)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['O=c1[nH]ncc2ccccc12']; [0.999789655]
-CS(=O)(=O)Nc1ccc(-c2cccc3sccc23)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cccc3sccc23)cc1)N1CCOCC1; ['Brc1cccc2sccc12']; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C']; [1.0]
-O=C(c1ccc(-c2cccc3sccc23)nc1)N1CCOCC1; [None]; [None]; [0]
-c1ccc(Cc2cccc3sccc23)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cccc2sccc12; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12', 'Brc1cccc2sccc12']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; [0.999999523, 0.999999523]
-CS(=O)(=O)N1CCC(c2cccc3sccc23)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2cccc3sccc23)cn1; [None]; [None]; [0]
-c1cc(Cc2cncnc2)c2ccsc2c1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cccc2sccc12; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cccc3sccc23)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['CCNS(=O)(=O)c1ccc(Br)cc1']; [0.86376363]
-COc1cc(OC)c(-c2cccc3sccc23)cc1Cl; ['Brc1cccc2sccc12']; ['COc1ccc(Cl)c(OC)c1']; [0.810516715]
-CN(C)c1ccc(-c2cccc3sccc23)cc1Cl; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cccc4sccc34)n[nH]2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cccc3sccc23)sn1; [None]; [None]; [0]
-c1cc(-c2cc(N3CCOCC3)ccn2)c2ccsc2c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cccc4sccc34)CC2)c1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2cccc3sccc23)cc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999999881]
-CC(C)(C)c1ccc(-c2cccc3sccc23)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cccc2sccc12; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cccc3sccc23)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cccc4sccc34)cc2)CC1; [None]; [None]; [0]
-CCCCCc1cccc2sccc12; ['Brc1cccc2sccc12']; ['CCCCCI']; [0.990524232]
-CC[NH+](CC)c1cccc2sccc12; [None]; [None]; [0]
-c1cc(-c2ncc3cccn3n2)c2ccsc2c1; [None]; [None]; [0]
-c1cc(CCCn2cncn2)c2ccsc2c1; [None]; [None]; [0]
-c1cc(-c2cc3ccccn3n2)c2ccsc2c1; [None]; [None]; [0]
-COc1cc(-c2cccc3sccc23)ccc1N1CCOCC1; [None]; [None]; [0]
-c1cc(-c2ccc(N3CCCCC3)cc2)c2ccsc2c1; ['Brc1cccc2sccc12']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.999985]
-Clc1cnc(-c2cccc3sccc23)nc1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cccc4sccc34)ccc2O1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cccc3sccc23)c1; ['Brc1cccc2sccc12']; ['COc1ccc(OC)c(CCl)c1']; [0.969129682]
-c1cc(-c2cccc3sccc23)cc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1csc2c(-c3cccc4sccc34)ncnc12; [None]; [None]; [0]
-O=C(Nc1cccc2sccc12)c1ccco1; ['Nc1cccc2sccc12', 'Nc1cccc2sccc12', 'CCOC(=O)c1ccco1']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1', 'Nc1cccc2sccc12']; [0.999420285, 0.999420285, 0.999420285]
-NC(=O)c1ccc(Cc2cccc3sccc23)cc1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cccc3sccc23)cc1; [None]; [None]; [0]
-Fc1cc2c(c(-c3cccc4sccc34)c1)OCOC2; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cccc3sccc23)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cccc4sccc34)cc2c1; ['Brc1cccc2sccc12']; ['COc1ccc2occc2c1']; [0.999257624]
-C[NH+](C)Cc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cccc3sccc23)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1']; ['Nc1cccc2sccc12']; [0.999993682]
-CNC(=O)c1ccc(OC)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cccc4sccc34)c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cccc2sccc12; [None]; [None]; [0]
-Cc1nc(-c2cccc3sccc23)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cccc2sccc12; [None]; [None]; [0]
-Clc1ccc2nc(-c3cccc4sccc34)ncc2c1; [None]; [None]; [0]
-c1cc(-c2ncc3sccc3n2)c2ccsc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cccc3sccc23)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(-c3cccc4sccc34)[nH]c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cccc3sccc23)n1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cccc3sccc23)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cccc3sccc23)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc3sccc23)cn1; ['Brc1cccc2sccc12']; ['CN(C)c1ccc(B(O)O)cn1']; [0.999952793]
-Cc1n[nH]c2cc(-c3cccc4sccc34)ccc12; [None]; [None]; [0]
-O=S1(=O)CCC(c2cccc3sccc23)CC1; [None]; [None]; [0]
-FC1(F)CCC(c2cccc3sccc23)CC1; [None]; [None]; [0]
-C[NH+](C)CCCc1cccc2sccc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc3sccc23)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cccc2sccc12; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cccc2sccc12; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cccc3sccc23)cc1; ['Brc1cccc2sccc12']; ['CCNC(=O)c1ccc(B(O)O)cc1']; [0.999828339]
-CNC(=O)c1ccc(-c2cccc3sccc23)c(OC)c1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cccc2sccc12; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cccc2sccc12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccccc3)cccc2s1; [None]; [None]; [0]
-CCOc1ccccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-COC(C)(C)CCc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc3sc(C(N)=O)cc23)[nH]1; [None]; [None]; [0]
-NC(=O)c1cc2c([C@@H]3C[C@H](O)C3)cccc2s1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(Cc3cc(F)cc(F)c3)cccc2s1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(C3CCOCC3)cccc2s1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccnc4ccccc34)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccnc3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cc[nH]n3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccc(C(F)(F)F)c3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccccc3Cl)cccc2s1; [None]; [None]; [0]
-Cc1cccc(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccccc3F)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccccc3Br)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccccc3OC(F)(F)F)cccc2s1; [None]; [None]; [0]
-N#Cc1ccccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccccc3C(N)=O)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnn(Cc4ccccc4)c3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccccc3C(=O)[O-])cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnc(-c4ccccc4)[nH]3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccncn3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnn(CCO)c3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3c(F)cccc3F)cccc2s1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc3sc(C(N)=O)cc23)cs1; [None]; [None]; [0]
-NC(=O)c1cc2c(C3CCCCC3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c([C@@H](N)c3ccco3)cccc2s1; [None]; [None]; [0]
-COc1cnc(-c2cccc3sc(C(N)=O)cc23)nc1; [None]; [None]; [0]
-NC(=O)c1cc2c([C@@H]3CC[C@@H](CO)OC3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccc(NC(=O)c4ccccc4)c3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(CC3CCCCC3)cccc2s1; [None]; [None]; [0]
-Cc1ccc(-c2cccc3sc(C(N)=O)cc23)c(Br)c1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccc4c(c3)CCC4)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnco3)cccc2s1; [None]; [None]; [0]
-CC(C)C(=O)COc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-Cc1nc(C)c(-c2cccc3sc(C(N)=O)cc23)s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnc4ccccn34)cccc2s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnc4cccnn34)cccc2s1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc3sc(C(N)=O)cc23)s1; [None]; [None]; [0]
-CC(C)(C)Nc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3c(Cl)cccc3Cl)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccc(Cn4cncn4)c3)cccc2s1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
-NC(=O)c1cc2c(OC3CCCCC3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccc(Cl)c3Cl)cccc2s1; [None]; [None]; [0]
-Cc1ncc(-c2cccc3sc(C(N)=O)cc23)[nH]1; [None]; [None]; [0]
-NC(=O)c1cc2c(NCc3cccnc3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccnc(N)n3)cccc2s1; [None]; [None]; [0]
-COc1cccc(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
-CCC(C)(C)c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccc4ccccc4c3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(Nc3cccnc3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccc(Cl)s3)cccc2s1; [None]; [None]; [0]
-C[C@H](CO)Nc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(NCCc3c[nH]cn3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-n3cnc4ccccc43)cccc2s1; [None]; [None]; [0]
-CC(C)COc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(NC(=O)c3cccs3)cccc2s1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](C)Oc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-CCCCc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cncc4ccccc34)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccc(CC(=O)[O-])c3)cccc2s1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cccc4sc(C(N)=O)cc34)cc2)cn1; [None]; [None]; [0]
-NC(=O)c1cc2c(NCCc3ccccc3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccc4c(N)[nH]nc4c3)cccc2s1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc3sc(C(N)=O)cc23)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cccc4sc(C(N)=O)cc34)ccc21; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccc(O)c3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(CCC[NH3+])cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccc(CO)c3)cccc2s1; [None]; [None]; [0]
-Cn1cncc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c([C@@H]3CCC[C@H]([NH3+])C3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccco3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(Nc3ccncc3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccs3)cccc2s1; [None]; [None]; [0]
-Cn1cc(-c2cccc3sc(C(N)=O)cc23)cn1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-CSc1nc(-c2cccc3sc(C(N)=O)cc23)c[nH]1; [None]; [None]; [0]
-CC(C)Nc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3csc4ncncc34)cccc2s1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc4sc(C(N)=O)cc34)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccc(F)cc3C(F)(F)F)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(OC(F)(F)F)cccc2s1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
-Cn1cc(-c2cccc3sc(C(N)=O)cc23)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccc3sc(C(N)=O)cc23)CC1; [None]; [None]; [0]
-C[C@H](c1cccc2sc(C(N)=O)cc12)C(F)(F)F; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnn4ccccc34)cccc2s1; [None]; [None]; [0]
-COc1ccc(-c2cccc3sc(C(N)=O)cc23)cc1Cl; [None]; [None]; [0]
-CCC(=O)Nc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnoc3)cccc2s1; [None]; [None]; [0]
-CCCn1cc(-c2cccc3sc(C(N)=O)cc23)cn1; [None]; [None]; [0]
-Cc1cc(-c2cccc3sc(C(N)=O)cc23)no1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccc4c3C(=O)CC4)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccn([C@@H2]CO)c(=O)c3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cc[nH]c(=O)c3)cccc2s1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-COc1cc(CCc2cccc3sc(C(N)=O)cc23)cc(OC)c1; [None]; [None]; [0]
-CCOC(=O)Cc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccc(Cl)c(C(=O)[O-])c3)cccc2s1; [None]; [None]; [0]
-CCN(CC)c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3c[nH]c4ccccc34)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cc4c(=O)[nH]ccc4o3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3c[nH]c4cnccc34)cccc2s1; [None]; [None]; [0]
-COc1ccncc1Nc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(Nc3cnc4ccccc4c3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnc4[nH]ccc4c3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c([C@H](CO)Cc3ccccc3)cccc2s1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-N#CCC(=O)N1CCC[C@@H](c2cccc3sc(C(N)=O)cc23)C1; [None]; [None]; [0]
-CC1(c2cccc3sc(C(N)=O)cc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-NC(=O)c1cc2c([C@@H]3CC[C@@H](NC(=O)O)C3)cccc2s1; [None]; [None]; [0]
-N#C[C@@H]1CC[C@@H](c2cccc3sc(C(N)=O)cc23)CC1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc3sc(C(N)=O)cc23)CC1; [None]; [None]; [0]
-N#CC[C@@H]1CC[C@@H](c2cccc3sc(C(N)=O)cc23)CC1; [None]; [None]; [0]
-N#C[C@H]1CCOC[C@@H]1c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccc(N4CCOCC4)cc3)cccc2s1; [None]; [None]; [0]
-Cc1cc(-c2cccc3sc(C(N)=O)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
-NC(=O)c1cc2c(-n3ccc(CO)n3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-n3cnc(CCO)c3)cccc2s1; [None]; [None]; [0]
-C[C@H](Nc1cccc2sc(C(N)=O)cc12)C(C)(C)C; [None]; [None]; [0]
-C[C@H](Nc1cccc2sc(C(N)=O)cc12)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cccc2sc(C(N)=O)cc12)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccc(F)c3C(N)=O)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-n3ncc4ccccc43)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-n3ncc4c(O)cccc43)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3nc[nH]n3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccnc3O)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccc(-n4cncn4)cc3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3nc4ccc(O)cc4[nH]3)cccc2s1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc3sc(C(N)=O)cc23)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(Cc3ccncc3)cccc2s1; [None]; [None]; [0]
-COc1ccc(-c2cccc3sc(C(N)=O)cc23)c(OC)c1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ccc(C(=O)c4ccccc4)cc3)cccc2s1; [None]; [None]; [0]
-Cn1cnnc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3nncn3C3CC3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(OC3CCOCC3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(CCC(=O)NCc3ccccn3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-n3ccnc3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cn(Cc4ccccc4)nn3)cccc2s1; [None]; [None]; [0]
-C[C@@H](Nc1cccc2sc(C(N)=O)cc12)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2cccc3sc(C(N)=O)cc23)nc(N)n1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnc(N)s3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3nnc(N)s3)cccc2s1; [None]; [None]; [0]
-CCCCc1cc(-c2cccc3sc(C(N)=O)cc23)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3sc(C(N)=O)cc23)s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3csc(N4CCOCC4)n3)cccc2s1; [None]; [None]; [0]
-Cc1cncc(-c2cccc3sc(C(N)=O)cc23)n1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3nc4ccccc4s3)cccc2s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c([C@H]3CCCN3C(N)=O)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cccc4ccsc34)cccc2s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc3sc(C(N)=O)cc23)[nH]1; [None]; [None]; [0]
-NC(=O)c1cc2c(CC3CCOCC3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ncc4ccccc4n3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3nc(N)c4ccccc4n3)cccc2s1; [None]; [None]; [0]
-Cn1cc(-c2cccc3sc(C(N)=O)cc23)c(=O)n1C; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3c[nH]c4cccnc34)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cnccc3N3CCOCC3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(O[C@@H]3CC[C@H](O)CC3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3ncc4cc[nH]c4n3)cccc2s1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-CC(C)(C)Oc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-NC(=O)c1cc2c(Cc3cccnc3)cccc2s1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
-CC(C)(C)CNc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cccc3sc(C(N)=O)cc23)CC1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
-NC(=O)c1cc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cccc2s1; [None]; [None]; [0]
-COCCc1ccc(C#N)cc1; []; []; []
-CN(C)c1cc(-c2cccc3sc(C(N)=O)cc23)cnn1; [None]; [None]; [0]
-COCCc1ccc(N(C)C(C)=O)cc1; [None]; [None]; [0]
-CCOc1ccc(CCOC)cc1; ['CCI', 'CCBr', 'CCO']; ['COCCc1ccc(O)cc1', 'COCCc1ccc(O)cc1', 'COCCc1ccc(O)cc1']; [0.990762889, 0.990762889, 0.990762889]
-NC(=O)c1cc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)cccc2s1; [None]; [None]; [0]
-COCCC1CCN(c2cccc(OC)c2)CC1; [None]; [None]; [0]
-COCCc1ncc2ccccc2n1; [None]; [None]; [0]
-COCCc1c[nH]nc1C; [None]; [None]; [0]
-COCCc1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
-COCCn1cnc2ccc(C)cc21; ['COCCOS(=O)(=O)c1ccc(C)cc1']; ['Cc1ccc2[nH]cnc2c1']; [0.994468808]
-COCCc1cccnc1OC; [None]; [None]; [0]
-COCCc1cnnn1C; [None]; [None]; [0]
-COCCc1cc(OC)c(OC)c(OC)c1; [None]; [None]; [0]
-COCCc1cn(C)nc1C; [None]; [None]; [0]
-COCCc1cnn(C)c1; [None]; [None]; [0]
-COCCc1cnc2cccnn12; [None]; [None]; [0]
-COCCc1ccc(OC)cc1; ['CI']; ['COc1ccc(CCO)cc1']; [0.947135448]
-COCCc1ccc(N2CCOCC2)cc1; ['C1COCCN1']; ['COCCc1ccc(Br)cc1']; [0.992146432]
-COCCc1nc2ccccc2[nH]1; ['COCCCO', 'COCCC#N']; ['Nc1ccccc1N', 'Nc1ccccc1N']; [0.999785602, 0.999785602]
-COCCc1cccc(O)c1; [None]; [None]; [0]
-COCCc1ccccc1; []; []; []
-COCCc1ccc(NS(C)(=O)=O)nc1; [None]; [None]; [0]
-COCCc1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-COCCc1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-COCCn1ncc2ccccc2c1=O; ['COCCBr']; ['O=c1[nH]ncc2ccccc12']; [0.999923229]
-COCCCc1nccc2ccccc12; ['COCCCBr', 'COCCC[Mg]Cl']; ['Clc1nccc2ccccc12', 'Clc1nccc2ccccc12']; [0.999179304, 0.999179304]
-COCCc1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-COCCc1ccc(OCCO)cc1; ['COCCc1ccc(O)cc1', 'COCCc1ccc(O)cc1']; ['OCCBr', 'O=C1OCCO1']; [0.997915447, 0.997915447]
-COCCc1ccc(Cl)cc1; ['COS(=O)(=O)OC']; ['OCCc1ccc(Cl)cc1']; [0.993576705]
-COCCc1ccc(C(N)=O)cc1; [None]; [None]; [0]
-COCCc1cccc(F)c1; ['COS(=O)(=O)OC', 'CO']; ['OCCc1cccc(F)c1', 'OCCc1cccc(F)c1']; [0.996189773, 0.996189773]
-COCCc1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-COCCc1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-COCCc1cc(C)n(C)n1; [None]; [None]; [0]
-COCCc1ccc(CNC(C)=O)cc1; [None]; [None]; [0]
-COCCc1ccc(OC[C@H](C)O)cc1; ['COCCc1ccc(O)cc1']; ['C[C@H](O)CO']; [0.939548373]
-COCCc1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
-COCCc1ccc(C(F)(F)F)cc1; ['CO', 'C=Cc1ccc(C(F)(F)F)cc1', 'COC(=O)OC']; ['OCCc1ccc(C(F)(F)F)cc1', 'CO', 'OCCc1ccc(C(F)(F)F)cc1']; [0.956021309, 0.956021309, 0.956021309]
-CNS(=O)(=O)c1ccc(CCOC)cc1; [None]; [None]; [0]
-COCCc1sc(C)nc1C; [None]; [None]; [0]
-COCCc1ccc(OC[C@@H](C)O)cc1; ['COCCc1ccc(O)cc1']; ['C[C@@H](O)CO']; [0.939548373]
-COCCc1ccc(S(=O)(=O)N(C)C)cc1; ['CNC']; ['COCCc1ccccc1']; [0.936774552]
-COCCc1ccc(N(C)C)cc1; ['CN(C)c1ccc(Br)cc1']; ['COCCCl']; [0.988179326]
-COCCC1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-COCCC1CCCCC1; ['BrCCC1CCCCC1', 'COS(=O)(=O)OC']; ['CO', 'OCCC1CCCCC1']; [0.945560813, 0.945560813]
-COCC[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
-COCCc1cncnc1; [None]; [None]; [0]
-COCCc1cnc(Cl)nc1; [None]; [None]; [0]
-COCCc1ccc(Br)cc1; ['CI', 'COS(=O)(=O)OC', 'CO']; ['OCCc1ccc(Br)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(Br)cc1']; [0.986882269, 0.986882269, 0.986882269]
-CCNS(=O)(=O)c1ccc(CCOC)cc1; [None]; [None]; [0]
-COCCc1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
-COCCc1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
-COCCc1cc(Cl)ccc1OC; [None]; [None]; [0]
-COCCn1ccnc1; ['COCCBr', 'COCCCl', 'COCCBr']; ['c1c[nH]cn1', 'c1c[nH]cn1', 'c1c[n-]cn1']; [0.995209277, 0.995209277, 0.995209277]
-COCCc1cn[nH]c1; [None]; [None]; [0]
-COCCc1c[nH]c2ccccc12; ['CI']; ['OCCc1c[nH]c2ccccc12']; [0.949864745]
-COCCc1ccc[nH]1; [None]; [None]; [0]
-COCCc1cc(Cl)c(OC)cc1OC; [None]; [None]; [0]
-COCCc1cc(C)ns1; [None]; [None]; [0]
-COCCc1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-COCCc1ccc2c(c1)CCO2; ['BrCCc1ccc2c(c1)CCO2']; ['C[O-]']; [0.968223691]
-COCCc1cc2ccccc2cn1; [None]; [None]; [0]
-COCCc1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-COCCc1cccc(NC(C)=O)c1; [None]; [None]; [0]
-COCCC1CCN(C(=O)c2cccc(OC)c2)CC1; [None]; [None]; [0]
-COCCc1cccc2c1OCO2; [None]; [None]; [0]
-COCCc1ccc(O)c(OC)c1; [None]; [None]; [0]
-COCCc1ccc(F)c(F)c1; ['CI']; ['OCCc1ccc(F)c(F)c1']; [0.998303056]
-COCCc1scc2c1OCCO2; [None]; [None]; [0]
-COCC[C@H]1CC[C@H]([NH3+])CC1; [None]; [None]; [0]
-COCCc1cnc2ccccc2c1; ['Brc1cnc2ccccc2c1']; ['COCCBr']; [0.966743588]
-COCCc1ccc(C(C)(C)C)cc1; ['CC(C)(C)c1ccc(CCO)cc1']; ['COS(=O)(=O)OC']; [0.989736199]
-COCCc1cccnc1Oc1ccccc1; [None]; [None]; [0]
-COCC[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
-COCCc1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
-COCCNC(=O)c1cccc(OC)c1; ['COCCN', 'COCCN']; ['COc1cccc(C(=O)O)c1', 'COc1cccc(CO)c1']; [0.999846, 0.999846]
-COCCc1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
-COCCc1ccco1; [None]; [None]; [0]
-COCCc1cc(C)nc(N)n1; [None]; [None]; [0]
-COCCc1cccc(SC)c1; [None]; [None]; [0]
-COCCc1ccc(N2CCOCC2)cc1OC; [None]; [None]; [0]
-COCCC1CCOCC1; ['COS(=O)(=O)OC']; ['OCCC1CCOCC1']; [0.955537915]
-COCCc1ccc(F)cc1Cl; ['CI']; ['OCCc1ccc(F)cc1Cl']; [0.993966699]
-CCN1CCN(Cc2ccc(CCOC)cc2)CC1; [None]; [None]; [0]
-COCCc1ccc(OC)c(OC)c1; ['COS(=O)(=O)OC']; ['COc1ccc(CCO)cc1OC']; [0.833330929]
-COCC[C@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-COCCc1ncc(Br)cn1; [None]; [None]; [0]
-COCCc1ccc(Cl)cc1Cl; ['CI', 'COCCBr', 'COS(=O)(=O)OC', 'C[O-]']; ['OCCc1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1', 'OCCc1ccc(Cl)cc1Cl', 'Clc1ccc(CCBr)c(Cl)c1']; [0.960493267, 0.960493267, 0.960493267, 0.960493267]
-COCCc1ccsc1; ['CI']; ['OCCc1ccsc1']; [0.975747526]
-COCC[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-COCCc1ccc(N2CCOCC2)c(OC)c1; [None]; [None]; [0]
-CCc1ccc(CCOC)cc1; [None]; [None]; [0]
-COCCc1cc2ccccn2n1; [None]; [None]; [0]
-COCCc1ncc2cccn2n1; [None]; [None]; [0]
-COCCc1cc(C)cc(C)c1; [None]; [None]; [0]
-COCCc1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-COCCc1cccc2ccc(OC)cc12; [None]; [None]; [0]
-COCCc1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
-COCCc1ccc(N2CCCCC2)cc1; ['C1CCNCC1']; ['COCCc1ccc(Br)cc1']; [0.942231059]
-COCCc1cccc2ccc(O)cc12; [None]; [None]; [0]
-COCCc1cc(OC)c(OC)cc1F; [None]; [None]; [0]
-COCCc1ccc(Cl)c(OC)c1; ['COCCBr']; ['COc1cc(B(O)O)ccc1Cl']; [0.997542262]
-COCCc1ncc(Cl)cn1; [None]; [None]; [0]
-COCCc1ncnc2c(C)csc12; [None]; [None]; [0]
-COCCc1cccc(-n2nccn2)c1; [None]; [None]; [0]
-COCCc1cc(OC)c(Br)cc1OC; [None]; [None]; [0]
-COCCc1ccc(C)o1; ['COCCBr']; ['Cc1ccco1']; [0.991517067]
-COCC[C@@H]1CC[C@@H](OC)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(CCOC)CC1; [None]; [None]; [0]
-COCCc1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-COCC[C@@H]1CC[C@@H](NC(=O)NC(C)C)CC1; [None]; [None]; [0]
-COCCc1cc(OC)cc(OC)c1; [None]; [None]; [0]
-COCCc1cc2cc(OC)ccc2o1; ['COCCBr']; ['COc1ccc2occc2c1']; [0.98948741]
-COCCc1ccc2cn[nH]c2c1; [None]; [None]; [0]
-COCCc1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
-CCn1cc(CCOC)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(CCOC)c1; [None]; [None]; [0]
-COCCc1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-COCCc1cc2ccccc2o1; [None]; [None]; [0]
-COCCc1cc(Br)cn1C; [None]; [None]; [0]
-CNC(=O)c1ccc(CCOC)cc1; [None]; [None]; [0]
-COCCc1nc(C)nc2ccsc12; [None]; [None]; [0]
-COCCc1ncc2sccc2n1; [None]; [None]; [0]
-COCCc1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-COCCc1nc2ccc(OC)cc2[nH]1; ['COCCC(=O)O', 'COCCC(=O)Cl']; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1']; [0.999979496, 0.999979496]
-COCCc1cn(C)nc1C(C)C; [None]; [None]; [0]
-COCCc1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
-COCCc1ccc(OC(F)(F)F)cc1; []; []; []
-COCCc1ccc(C(=O)[O-])c(Cl)c1; [None]; [None]; [0]
-COCCc1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-COCCc1cn(C)c2ccccc12; [None]; [None]; [0]
-CCc1cccc(CCOC)n1; [None]; [None]; [0]
-COCCc1cscn1; [None]; [None]; [0]
-COCCc1ccc(C)c(C)n1; [None]; [None]; [0]
-COCCc1ccc2c(cnn2C)c1; [None]; [None]; [0]
-COCCc1cccc(N2CCC[C@@H]2C)n1; [None]; [None]; [0]
-COCCc1ccc(N(C)C)nc1; [None]; [None]; [0]
-COCCc1cc(C)c(OCCO)c(C)c1; [None]; [None]; [0]
-COCCC1CCC(F)(F)CC1; [None]; [None]; [0]
-COCCc1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
-COCCc1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
-COCCc1ccc(CCO)cc1; ['C1CO1']; ['COCCc1ccc(Br)cc1']; [0.976050556]
-COCCc1ccc(N2CCC(O)CC2)cc1OC; [None]; [None]; [0]
-COCCc1ccc(N2CCOCC2)cc1C; [None]; [None]; [0]
-COCCc1ccc(N2CCNCC2)cc1OC; [None]; [None]; [0]
-COCCC1CCS(=O)(=O)CC1; [None]; [None]; [0]
-CCNC(=O)c1ccc(CCOC)cc1; [None]; [None]; [0]
-COCCc1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
-COCCc1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
-N#Cc1cccc(-c2ccccc2)c1; ['CC1(C)COB(c2cccc(C#N)c2)OC1', 'CC1(C)COB(c2ccccc2)OC1', 'Brc1ccccc1', 'N#Cc1cccc(Br)c1', 'Brc1ccccc1', 'Ic1ccccc1']; ['Ic1ccccc1', 'N#Cc1cccc(I)c1', 'N#Cc1cccc(B(O)O)c1', 'OB(O)c1ccccc1', 'N#Cc1cccc(I)c1', 'N#Cc1cccc(Br)c1']; [0.998688638, 0.998688638, 0.998688638, 0.998688638, 0.998688638, 0.998688638]
-CNC(=O)c1ccc(CCOC)c(OC)c1; [None]; [None]; [0]
-COCCc1cc(C(=O)NCCO)ccc1C; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(CCOC)c1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc(C#N)c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc(C#N)c2)[nH]1; [None]; [None]; [0]
-N#Cc1cccc(C2CCOCC2)c1; [None]; [None]; [0]
-COC(C)(C)CCc1cccc(C#N)c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cccc(C#N)c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccc(C#N)c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc(C#N)c2)cs1; [None]; [None]; [0]
-N#Cc1cccc(-c2ccccc2C(=O)[O-])c1; [None]; [None]; [0]
-Cc1cccc(-c2cccc(C#N)c2)c1; ['Cc1cccc(I)c1']; ['N#Cc1cccc(I)c1']; [0.945796728]
-COc1cnc(-c2cccc(C#N)c2)nc1; ['COc1cnc(Cl)nc1']; ['N#Cc1cccc(B(O)O)c1']; [0.995703399]
-N#Cc1cccc(C2CCCCC2)c1; ['BrC1CCCCC1']; ['N#Cc1cccc(B(O)O)c1']; [0.999654174]
-N#Cc1cccc(CC2CCCCC2)c1; ['Br[Mg]CC1CCCCC1', 'BrCC1CCCCC1']; ['N#Cc1cccc(Cl)c1', 'N#Cc1cccc(Br)c1']; [0.991670847, 0.991670847]
-N#Cc1cccc([C@@H]2CC[C@@H](CO)OC2)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc(C#N)c1; ['Cc1cn2ccccc2n1']; ['N#Cc1cccc(Br)c1']; [0.999826968]
-CC(C)C(=O)COc1cccc(C#N)c1; ['CC(C)C(=O)CBr']; ['N#Cc1cccc(O)c1']; [0.998648]
-CNc1nc(C)c(-c2cccc(C#N)c2)s1; [None]; [None]; [0]
-N#Cc1cccc(NCCc2c[nH]cn2)c1; ['N#Cc1cccc(N)c1', 'N#Cc1cccc(I)c1', 'N#Cc1cccc(Br)c1']; ['OCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.995304346, 0.995304346, 0.995304346]
-CCC(C)(C)c1cccc(C#N)c1; [None]; [None]; [0]
-CCCCc1cccc(C#N)c1; ['CCCCc1cccc(Br)c1', 'CCCCB(O)O', 'CCCC[Mg]Br', 'CCCCBr', 'CCCCI']; ['[C-]#N', 'N#Cc1cccc(Br)c1', 'N#Cc1cccc(Cl)c1', 'N#Cc1cccc(Br)c1', 'N#Cc1cccc(Br)c1']; [0.997943, 0.997943, 0.997943, 0.997943, 0.997943]
-N#Cc1cccc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
-N#Cc1cccc(-c2cccc(CC(=O)[O-])c2)c1; ['CC1(C)OB(c2cccc(C#N)c2)OC1(C)C']; ['O=C([O-])Cc1ccccc1']; [0.977402389]
-N#Cc1cccc(-c2ccc3c(N)[nH]nc3c2)c1; ['N#Cc1cccc(B(O)O)c1']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.999967456]
-COC(=O)[C@@H](N)Cc1cccc(C#N)c1; ['CO']; ['N#Cc1cccc(C[C@H](N)C(=O)O)c1']; [0.996836305]
-N#Cc1cccc(NCCc2ccccc2)c1; ['N#Cc1cccc(N)c1', 'N#Cc1cccc(N)c1', 'N#Cc1cccc(N)c1', 'BrCCc1ccccc1', 'N#Cc1cccc(I)c1', 'N#Cc1cccc(Br)c1']; ['OB(O)CCc1ccccc1', 'O=CCc1ccccc1', 'OCCc1ccccc1', 'N#Cc1cccc(N)c1', 'NCCc1ccccc1', 'NCCc1ccccc1']; [0.999279797, 0.999279797, 0.999279797, 0.999279797, 0.999279797, 0.999279797]
-Cn1cc(-c2ccc(-c3cccc(C#N)c3)cc2)cn1; ['Cn1cc(B(O)O)cn1']; ['N#Cc1cccc(-c2ccc(Cl)cc2)c1']; [0.987457216]
-Cn1ncc2cc(-c3cccc(C#N)c3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['N#Cc1cccc(I)c1']; [0.999998927]
-N#Cc1cccc(CCC[NH3+])c1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(C#N)c2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccc(C#N)c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc(C#N)c1; [None]; [None]; [0]
-N#Cc1cccc([C@@H]2CCC[C@H]([NH3+])C2)c1; [None]; [None]; [0]
-N#Cc1cccc(OC(F)(F)F)c1; []; []; []
-CSc1nc(-c2cccc(C#N)c2)c[nH]1; [None]; [None]; [0]
-N#Cc1cccc(-c2csc3ncncc23)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc(C#N)c3)cc2s1; [None]; [None]; [0]
-Cn1cc(-c2cccc(C#N)c2)c2ccccc21; ['Cn1ccc2ccccc21']; ['N#Cc1cccc(Br)c1']; [0.999977112]
-CS(=O)(=O)C1CCN(c2cccc(C#N)c2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['N#Cc1cccc(Br)c1']; [0.999716938]
-C[C@H](c1cccc(C#N)c1)C(F)(F)F; [None]; [None]; [0]
-N#Cc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
-N#Cc1cccc(-c2cc[nH]c(=O)c2)c1; [None]; [None]; [0]
-N#Cc1cccc(-c2ccn([C@@H2]CO)c(=O)c2)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccc(C#N)c1; [None]; [None]; [0]
-COc1cc(CCc2cccc(C#N)c2)cc(OC)c1; ['COc1cc(C)cc(OC)c1', 'COc1cc(CCl)cc(OC)c1']; ['N#Cc1cccc(CCl)c1', 'Cc1cccc(C#N)c1']; [0.998494864, 0.998494864]
-CNC(=O)c1c(F)cccc1-c1cccc(C#N)c1; [None]; [None]; [0]
-N#Cc1cccc(-c2cnc3[nH]ccc3c2)c1; ['Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1']; ['N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(B(O)O)c1']; [0.999817669, 0.999817669]
-N#Cc1cccc(-c2ccc(Cl)c(C(=O)[O-])c2)c1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc(C#N)c2)CC1; [None]; [None]; [0]
-N#Cc1cccc([C@@H]2CC[C@@H](NC(=O)O)C2)c1; [None]; [None]; [0]
-CC1(c2cccc(C#N)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-N#Cc1cccc(-n2ccc(CO)n2)c1; ['N#Cc1cccc(B(O)O)c1', 'N#Cc1cccc(Br)c1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.999938726, 0.999938726]
-Cc1cc(-c2cccc(C#N)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-N#Cc1cccc(-c2ccc(N3CCOCC3)cc2)c1; ['Ic1ccc(N2CCOCC2)cc1']; ['N#Cc1cccc(I)c1']; [0.997294]
-C[C@H](Nc1cccc(C#N)c1)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['N#Cc1cccc(I)c1']; [0.998083472]
-C[C@H](Nc1cccc(C#N)c1)C(C)(C)O; [None]; [None]; [0]
-N#Cc1cccc(-n2cnc(CCO)c2)c1; ['N#Cc1cccc(I)c1']; ['OCCc1c[nH]cn1']; [0.99720484]
-N#Cc1cccc(-c2nc[nH]n2)c1; ['COC(OC)N(C)C']; ['N#Cc1cccc(C(N)=O)c1']; [0.998550713]
-C[C@@H](Nc1cccc(C#N)c1)C(C)(C)O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cccc(C#N)c1; ['Cc1nc[nH]c1Br']; ['N#Cc1cccc(B(O)O)c1']; [0.999884486]
-N#Cc1cccc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc(C#N)c2)[nH]1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccc(C#N)c1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc(C#N)c1; [None]; [None]; [0]
-Cn1cnnc1-c1cccc(C#N)c1; [None]; [None]; [0]
-N#Cc1cccc(CCC(=O)NCc2ccccn2)c1; ['COC(=O)CCc1cccc(C#N)c1']; ['NCc1ccccn1']; [0.998943508]
-C[C@@H](Nc1cccc(C#N)c1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['N#Cc1cccc(F)c1']; [0.998317242]
-CC(C)n1cnnc1-c1cccc(C#N)c1; [None]; [None]; [0]
-CCc1cc(-c2cccc(C#N)c2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['N#Cc1cccc(B(O)O)c1']; [0.999845743]
-N#Cc1cccc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
-CCCCc1cc(-c2cccc(C#N)c2)nc(N)n1; [None]; [None]; [0]
-N#Cc1cccc(-c2csc(N3CCOCC3)n2)c1; ['N#Cc1cccc(C(=O)CBr)c1']; ['NC(=S)N1CCOCC1']; [1.0]
-N#Cc1cccc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(C#N)c2)s1; ['CNC(=O)c1ccc(Br)s1']; ['N#Cc1cccc(B(O)O)c1']; [0.999989629]
-CC(=O)Nc1ncc(-c2cccc(C#N)c2)[nH]1; [None]; [None]; [0]
-N#Cc1cccc(CC2CCOCC2)c1; [None]; [None]; [0]
-N#Cc1cccc([C@H]2CCCN2C(N)=O)c1; [None]; [None]; [0]
-N#Cc1cccc(-c2ncc3ccccc3n2)c1; ['N#Cc1cccc(CO)c1']; ['NCc1ccccc1N']; [0.999410748]
-Cn1cc(-c2cccc(C#N)c2)c(=O)n1C; [None]; [None]; [0]
-N#Cc1cccc(-c2cnccc2N2CCOCC2)c1; [None]; [None]; [0]
-N#Cc1cccc(-c2ncc3cc[nH]c3n2)c1; ['Clc1ncc2cc[nH]c2n1']; ['N#Cc1cccc(B(O)O)c1']; [0.999874592]
-N#Cc1cccc(O[C@@H]2CC[C@H](O)CC2)c1; [None]; [None]; [0]
-OCc1ccc(-c2ccccc2)cc1; []; []; []
-CS(=O)(=O)Nc1ccccc1Cc1cccc(C#N)c1; [None]; [None]; [0]
-CN(C)c1cc(-c2cccc(C#N)c2)cnn1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc(CO)cc1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc(CO)cc2)[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc(CO)cc1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc(CO)cc1; [None]; [None]; [0]
-OCc1ccc(C2CCOCC2)cc1; [None]; [None]; [0]
-Cc1cccc(-c2ccc(CO)cc2)c1; ['Cc1cccc(Br)c1', 'Cc1cccc(B(O)O)c1']; ['OCc1ccc(B(O)O)cc1', 'OCc1ccc(Br)cc1']; [0.998013616, 0.998013616]
-CP(C)(=O)c1ccccc1-c1ccc(CO)cc1; [None]; [None]; [0]
-OCc1ccc(C2CCCCC2)cc1; []; []; []
-CC(C)(C)c1nc(-c2ccc(CO)cc2)cs1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccc(CO)cc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(CO)cc2)nc1; ['COc1cnc(Cl)nc1']; ['OCc1ccc(B(O)O)cc1']; [0.981251359]
-OCc1ccc(CC2CCCCC2)cc1; [None]; [None]; [0]
-OCc1ccc([C@@H]2CC[C@@H](CO)OC2)cc1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc(CO)cc1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc(CO)cc2)s1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc(CO)cc1; ['CC(C)C(=O)CBr']; ['OCc1ccc(O)cc1']; [0.983166873]
-OCc1ccc(NCCc2c[nH]cn2)cc1; ['NCCc1c[nH]cn1']; ['OCc1ccc(Br)cc1']; [0.872870386]
-CCC(C)(C)c1ccc(CO)cc1; [None]; [None]; [0]
-CCCCc1ccc(CO)cc1; []; []; []
-OCc1ccc(-c2cccc(Cn3cncn3)c2)cc1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccc(CO)cc2)c1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccc(CO)cc3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['OCc1ccc(B(O)O)cc1']; [0.999122679]
-COC(=O)[C@@H](N)Cc1ccc(CO)cc1; [None]; [None]; [0]
-OCc1ccc(NCCc2ccccc2)cc1; ['NCCc1ccccc1', 'Nc1ccc(CO)cc1']; ['OCc1ccc(I)cc1', 'O=CCc1ccccc1']; [0.932532787, 0.932532787]
-Cn1cc(-c2ccc(-c3ccc(CO)cc3)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc(CO)cc3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['OCc1ccc(Cl)cc1']; [0.99996078]
-[NH3+]CCCc1ccc(CO)cc1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(CO)cc2)n1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc(CO)cc1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc(CO)cc1; [None]; [None]; [0]
-CSc1nc(-c2ccc(CO)cc2)c[nH]1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc(CO)cc2)C1; [None]; [None]; [0]
-OCc1ccc(-c2csc3ncncc23)cc1; [None]; [None]; [0]
-OCc1ccc(OC(F)(F)F)cc1; []; []; []
-CCNc1nc2ccc(-c3ccc(CO)cc3)cc2s1; [None]; [None]; [0]
-C[C@H](c1ccc(CO)cc1)C(F)(F)F; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc(CO)cc2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['OCc1ccc(Br)cc1', 'OCc1ccc(F)cc1']; [0.951187372, 0.951187372]
-Cn1cc(-c2ccc(CO)cc2)c2ccccc21; [None]; [None]; [0]
-O=c1cc(-c2ccc(CO)cc2)cc[nH]1; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'O=c1cc(Br)cc[nH]1']; ['O=c1cc(Br)cc[nH]1', 'OCc1ccc(B(O)O)cc1']; [0.999928355, 0.999928355]
-OCc1ccc(-c2cnn3ccccc23)cc1; [None]; [None]; [0]
-O=c1cc(-c2ccc(CO)cc2)ccn1[C@@H2]CO; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc(CO)cc1; ['CC(C)(C)N=C=O']; ['Nc1ccc(CO)cc1']; [0.994629204]
-COc1cc(CCc2ccc(CO)cc2)cc(OC)c1; [None]; [None]; [0]
-OCc1ccc(-c2cnc3[nH]ccc3c2)cc1; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'OCc1ccc(Br)cc1']; [0.999999046, 0.999999046]
-CNC(=O)c1c(F)cccc1-c1ccc(CO)cc1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccc(CO)cc2)ccc1Cl; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc(CO)cc2)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc(CO)cc2)C1; [None]; [None]; [0]
-CC1(c2ccc(CO)cc2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-OCc1ccc(-n2ccc(CO)n2)cc1; ['OCc1cc[nH]n1']; ['OCc1ccc(B(O)O)cc1']; [0.992528915]
-Cc1cc(-c2ccc(CO)cc2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCc1ccc(-c2ccc(N3CCOCC3)cc2)cc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['OCc1ccc(Br)cc1', 'CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'OCc1ccc(Br)cc1', 'OCc1ccc(B(O)O)cc1']; [0.999982238, 0.999982238, 0.999982238, 0.999982238]
-C[C@H](Nc1ccc(CO)cc1)C(C)(C)C; ['C[C@H](N)C(C)(C)C']; ['OCc1ccc(Br)cc1']; [0.77846241]
-OCCc1cn(-c2ccc(CO)cc2)cn1; ['OCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'Nc1ccc(CO)cc1', 'OCCc1c[nH]cn1']; ['OCc1ccc(I)cc1', 'OCc1ccc(Br)cc1', 'OCCc1c[nH]cn1', 'OCc1ccc(F)cc1']; [0.998670101, 0.998670101, 0.998670101, 0.998670101]
-C[C@H](Nc1ccc(CO)cc1)C(C)(C)O; [None]; [None]; [0]
-OCc1ccc(-c2ccc(-n3cncn3)cc2)cc1; [None]; [None]; [0]
-C[C@@H](Nc1ccc(CO)cc1)C(C)(C)O; [None]; [None]; [0]
-OCc1ccc(-c2nc[nH]n2)cc1; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C']; ['Clc1nc[nH]n1']; [0.997617424]
-CC(C)([NH3+])CNc1ccc(CO)cc1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc(CO)cc1; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C', 'Cc1nc[nH]c1Cl']; ['Cc1nc[nH]c1Br', 'OCc1ccc(B(O)O)cc1']; [0.999014854, 0.999014854]
-CSc1nc(C)c(-c2ccc(CO)cc2)[nH]1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc(CO)cc1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc(CO)cc1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc(CO)cc1; [None]; [None]; [0]
-C[C@@H](Nc1ccc(CO)cc1)C(C)(C)C; ['C[C@@H](N)C(C)(C)C']; ['OCc1ccc(I)cc1']; [0.874976397]
-OCc1ccc(-c2nncn2C2CC2)cc1; [None]; [None]; [0]
-OCc1ccc(-c2cn(Cc3ccccc3)nn2)cc1; ['BrCc1ccccc1']; ['C#Cc1ccc(CO)cc1']; [1.0]
-O=C(CCc1ccc(CO)cc1)NCc1ccccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(CO)cc2)s1; ['CC1(C)OB(c2ccc(CO)cc2)OC1(C)C']; ['CNC(=O)c1ccc(Br)s1']; [0.999999881]
-CCCCc1cc(-c2ccc(CO)cc2)nc(N)n1; [None]; [None]; [0]
-CCc1cc(-c2ccc(CO)cc2)nc(N)n1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccc(CO)cc1; [None]; [None]; [0]
-OCc1ccc(CC2CCOCC2)cc1; [None]; [None]; [0]
-OCc1ccc(-c2csc(N3CCOCC3)n2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(CO)cc2)c(=O)n1C; [None]; [None]; [0]
-OCc1ccc(-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc(CO)cc2)[nH]1; [None]; [None]; [0]
-OCc1ccc(O[C@@H]2CC[C@H](O)CC2)cc1; [None]; [None]; [0]
-OCc1ccc(-c2cnccc2N2CCOCC2)cc1; [None]; [None]; [0]
-Fc1cnccc1Nc1ccccc1; ['Fc1cnccc1Br']; ['Nc1ccccc1']; [0.999775708]
-OCc1ccc(-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc(CO)cc2)cnn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc(CO)cc1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1Nc1ccncc1F; ['CP(C)(=O)c1ccccc1N']; ['Fc1cnccc1Cl']; [0.999994636]
-CC(C)S(=O)(=O)c1ccccc1Nc1ccncc1F; ['CC(C)S(=O)(=O)c1ccccc1N']; ['Fc1cnccc1Br']; [0.999544799]
-Cc1cccc(Nc2ccncc2F)c1; ['Cc1cccc(N)c1']; ['Fc1cnccc1I']; [0.999962]
-Cc1nnc(-c2ccccc2Nc2ccncc2F)[nH]1; [None]; [None]; [0]
-Fc1cnccc1NC1CCOCC1; ['Nc1ccncc1F']; ['O=C1CCOCC1']; [0.999996066]
-Fc1cnccc1NC1CCCCC1; [None]; [None]; [0]
-O=C([O-])c1ccccc1Nc1ccncc1F; ['Nc1ccncc1F']; ['O=C([O-])c1ccccc1F']; [0.93591]
-CC(C)(C)c1nc(Nc2ccncc2F)cs1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](Nc2ccncc2F)CO1; [None]; [None]; [0]
-COc1cnc(Nc2ccncc2F)nc1; ['COc1cnc(Br)nc1']; ['Nc1ccncc1F']; [0.999992847]
-Cc1nc2ccccn2c1Nc1ccncc1F; [None]; [None]; [0]
-Fc1cnccc1Nc1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-C[C@@H](Nc1ccncc1F)[C@@H](C)O; [None]; [None]; [0]
-CNc1nc(C)c(Nc2ccncc2F)s1; [None]; [None]; [0]
-Cn1cc(-c2ccc(Nc3ccncc3F)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(Nc3ccncc3F)ccc12; ['Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Cl)ccc12']; ['Nc1ccncc1F', 'Nc1ccncc1F']; [0.999995947, 0.999995947]
-CCCn1cnc(Nc2ccncc2F)n1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](Nc2ccncc2F)C1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(Nc2ccncc2F)c1; [None]; [None]; [0]
-Cn1ncc2cc(Nc3ccncc3F)ccc21; [None]; [None]; [0]
-CC(C)c1oncc1Nc1ccncc1F; [None]; [None]; [0]
-Fc1cnccc1Nc1csc2ncncc12; [None]; [None]; [0]
-CSc1nc(Nc2ccncc2F)c[nH]1; [None]; [None]; [0]
-Fc1cnccc1Nc1cnn2ccccc12; [None]; [None]; [0]
-Cn1cc(Nc2ccncc2F)c2ccccc21; [None]; [None]; [0]
-CCNc1nc2ccc(Nc3ccncc3F)cc2s1; [None]; [None]; [0]
-O=c1cc(Nc2ccncc2F)cc[nH]1; ['Fc1cnccc1Cl', 'Nc1ccncc1F', 'Fc1cnccc1Br', 'Nc1ccncc1F']; ['Nc1cc[nH]c(=O)c1', 'O=c1cc(Br)cc[nH]1', 'Nc1cc[nH]c(=O)c1', 'O=c1cc(Cl)cc[nH]1']; [0.999999404, 0.999999404, 0.999999404, 0.999999404]
-O=c1cc(Nc2ccncc2F)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=C([O-])c1cc(Nc2ccncc2F)ccc1Cl; [None]; [None]; [0]
-Fc1cnccc1Nc1cnc2[nH]ccc2c1; [None]; [None]; [0]
-CC1(Nc2ccncc2F)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1Nc1ccncc1F; [None]; [None]; [0]
-Fc1cnccc1Nc1ccc(N2CCOCC2)cc1; ['Fc1cnccc1Cl']; ['Nc1ccc(N2CCOCC2)cc1']; [0.999997616]
-N#CCC[C@@H]1CC[C@@H](Nc2ccncc2F)CC1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](Nc2ccncc2F)C1; [None]; [None]; [0]
-Fc1cnccc1Nc1nc[nH]n1; ['Fc1cnccc1Br']; ['Nc1nc[nH]n1']; [0.999629617]
-C[C@@H](O)[C@@H](CO)Nc1ccncc1F; ['C[C@@H](O)[C@H](N)CO']; ['Fc1cnccc1Cl']; [0.988628089]
-Fc1cnccc1Nc1ccc(-n2cncn2)cc1; ['Fc1cnccc1Cl']; ['Nc1ccc(-n2cncn2)cc1']; [0.999994636]
-Cc1nc[nH]c1Nc1ccncc1F; [None]; [None]; [0]
-Fc1cnccc1NCC[NH+]1CCNCC1; [None]; [None]; [0]
-CSc1nc(C)c(Nc2ccncc2F)[nH]1; [None]; [None]; [0]
-Cn1cnnc1Nc1ccncc1F; [None]; [None]; [0]
-CC(C)n1cnnc1Nc1ccncc1F; [None]; [None]; [0]
-CCc1cc(Nc2ccncc2F)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['Nc1ccncc1F']; [0.999992609]
-C[C@H](CO)n1cnnc1Nc1ccncc1F; [None]; [None]; [0]
-Fc1cnccc1Nc1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-Fc1cnccc1Nc1nncn1C1CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ccncc2F)s1; [None]; [None]; [0]
-Fc1cnccc1Nc1csc(N2CCOCC2)n1; [None]; [None]; [0]
-CCCCc1cc(Nc2ccncc2F)nc(N)n1; [None]; [None]; [0]
-O=C(NCCCNc1ccncc1F)c1cccs1; [None]; [None]; [0]
-[NH3+]CCCCNc1ccncc1F; [None]; [None]; [0]
-CC(=O)Nc1ncc(Nc2ccncc2F)[nH]1; [None]; [None]; [0]
-Cn1cc(Nc2ccncc2F)c(=O)n1C; [None]; [None]; [0]
-Fc1cnccc1Nc1ncc2ccccc2n1; ['Clc1ncc2ccccc2n1']; ['Nc1ccncc1F']; [0.999944329]
-Fc1cnccc1Nc1ncc2cc[nH]c2n1; ['Clc1ncc2cc[nH]c2n1']; ['Nc1ccncc1F']; [0.999992728]
-Fc1cnccc1Nc1cnccc1N1CCOCC1; [None]; [None]; [0]
-CN(C)c1cc(Nc2ccncc2F)cnn1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ncc4ccccc4n3)c2o1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(NC(=O)C4CC4)c3)c2o1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cccc4nc(N)oc34)CC2)c1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(N4CCOCC4)cc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccccc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(C(=O)[O-])cc3)c2o1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cccc3nc(N)oc23)cn1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(C(=O)N4CCOCC4)cc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(C(=O)N4CCOCC4)cn3)c2o1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc([C@H]3CCN(C(=O)c4ccccc4)C3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(C3CCCCC3)c2o1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc3nc(N)oc23)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-COc1cc(OC)c(-c2cccc3nc(N)oc23)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cccc3nc(N)oc23)sn1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cc(N4CCOCC4)ccn3)c2o1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cccc4nc(N)oc34)CC2)c1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cc(-c4ccccc4)[nH]n3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc([C@@H]3CC[C@@H]([NH3+])CC3)c2o1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccnc3Oc3ccccc3)c2o1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccc3nc(N)oc23)cn1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cccc4nc(N)oc34)cc2)CC1; [None]; [None]; [0]
-COCCc1cccc2nc(N)oc12; [None]; [None]; [0]
-COc1cc(-c2cccc3nc(N)oc23)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1nc2cccc(C3CCOCC3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cc4ccccn4n3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ncc4cccn4n3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(N4CCCCC4)cc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ncc(Cl)cn3)c2o1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cccc4nc(N)oc34)ccc2O1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(-n4nccn4)c3)c2o1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cc(F)cc4c3OCOC4)c2o1; [None]; [None]; [0]
-Cc1csc2c(-c3cccc4nc(N)oc34)ncnc12; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3cccc4nc(N)oc34)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-Cc1nc(-c2cccc3nc(N)oc23)c2sccc2n1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cc(-c4cccnc4)ccn3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ncc4sccc4n3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ncc4cc(Cl)ccc4n3)c2o1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-COc1ccc2nc(-c3cccc4nc(N)oc34)[nH]c2c1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(C(=O)[O-])c(Cl)c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(NC(=O)N4CCCC4)c3)c2o1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
-Cc1cc(-c2cccc3nc(N)oc23)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cccc4nc(N)oc34)ccc12; [None]; [None]; [0]
-Cn1cc(-c2cccc3nc(N)oc23)c2ccccc21; [None]; [None]; [0]
-Nc1nc2cccc(C3CCC(F)(F)CC3)c2o1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc3nc(N)oc23)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc3nc(N)oc23)c(Cl)c1; [None]; [None]; [0]
-Nc1nc2cccc(C3CCS(=O)(=O)CC3)c2o1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3nc(N)oc23)c(OC)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cccc2nc(N)oc12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc3nc(N)oc23)[nH]1; [None]; [None]; [0]
-Cc1cccc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
-COC(C)(C)CCc1cccc2nc(N)oc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccc2nc(N)oc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc([C@@H]3CC[C@@H](CO)OC3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccccc3C(=O)[O-])c2o1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc3nc(N)oc23)cs1; [None]; [None]; [0]
-CC(C)C(=O)COc1cccc2nc(N)oc12; [None]; [None]; [0]
-COc1cnc(-c2cccc3nc(N)oc23)nc1; [None]; [None]; [0]
-Nc1nc2cccc(CC3CCCCC3)c2o1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(Cn4cncn4)c3)c2o1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc3nc(N)oc23)s1; [None]; [None]; [0]
-CCC(C)(C)c1cccc2nc(N)oc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(NCCc3c[nH]cn3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cccc(CC(=O)[O-])c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(NCCc3ccccc3)c2o1; [None]; [None]; [0]
-CCCCc1cccc2nc(N)oc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cccc4nc(N)oc34)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cccc4nc(N)oc34)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc4c(N)[nH]nc4c3)c2o1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(CCC[NH3+])c2o1; [None]; [None]; [0]
-Nc1nc2cccc([C@@H]3CCC[C@H]([NH3+])C3)c2o1; [None]; [None]; [0]
-CSc1nc(-c2cccc3nc(N)oc23)c[nH]1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc4nc(N)oc34)cc2s1; [None]; [None]; [0]
-Nc1nc2cccc(-c3csc4ncncc34)c2o1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
-Nc1nc2cccc(OC(F)(F)F)c2o1; [None]; [None]; [0]
-C[C@H](c1cccc2nc(N)oc12)C(F)(F)F; [None]; [None]; [0]
-Nc1nc2cccc(-c3cc[nH]c(=O)c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnn4ccccc34)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccn([C@@H2]CO)c(=O)c3)c2o1; [None]; [None]; [0]
-COc1cc(CCc2cccc3nc(N)oc23)cc(OC)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(Cl)c(C(=O)[O-])c3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnc4[nH]ccc4c3)c2o1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CC1(c2cccc3nc(N)oc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Nc1nc2cccc([C@@H]3CC[C@@H](NC(=O)O)C3)c2o1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
-Cc1cc(-c2cccc3nc(N)oc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Nc1nc2cccc(-n3ccc(CO)n3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-n3cnc(CCO)c3)c2o1; [None]; [None]; [0]
-C[C@H](Nc1cccc2nc(N)oc12)C(C)(C)C; [None]; [None]; [0]
-C[C@H](Nc1cccc2nc(N)oc12)C(C)(C)O; [None]; [None]; [0]
-Nc1nc2cccc(-c3ccc(-n4cncn4)cc3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3nc[nH]n3)c2o1; [None]; [None]; [0]
-C[C@@H](Nc1cccc2nc(N)oc12)C(C)(C)O; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccc2nc(N)oc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc3nc(N)oc23)[nH]1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Cn1cnnc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
-Nc1nc2cccc(CCC(=O)NCc3ccccn3)c2o1; [None]; [None]; [0]
-C[C@@H](Nc1cccc2nc(N)oc12)C(C)(C)C; [None]; [None]; [0]
-CCc1cc(-c2cccc3nc(N)oc23)nc(N)n1; [None]; [None]; [0]
-Nc1nc2cccc(-c3nncn3C3CC3)c2o1; [None]; [None]; [0]
-CCCCc1cc(-c2cccc3nc(N)oc23)nc(N)n1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cn(Cc4ccccc4)nn3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3csc(N4CCOCC4)n3)c2o1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cccc2nc(N)oc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc3nc(N)oc23)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cccc3nc(N)oc23)c(=O)n1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3nc(N)oc23)s1; [None]; [None]; [0]
-Nc1nc2cccc(O[C@@H]3CC[C@H](O)CC3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(CC3CCOCC3)c2o1; [None]; [None]; [0]
-Nc1nc2cccc(-c3ncc4cc[nH]c4n3)c2o1; [None]; [None]; [0]
-CN(C)c1cc(-c2cccc3nc(N)oc23)cnn1; [None]; [None]; [0]
-Nc1nc2cccc(-c3cnccc3N3CCOCC3)c2o1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C#N)cc3)nc21; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccc2nc(N)oc12; [None]; [None]; [0]
-CCOc1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ncc4ccccc4n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccnc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N(C)C(C)=O)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3c[nH]nc3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C3CCN(c4cccc(OC)c4)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(OC)c(OC)c(OC)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnnn3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnn(C)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(S(C)(=O)=O)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cn(C)nc3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(O)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-n3cnc4ccc(C)cc43)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(OC)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnc4cccnn34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(NC(=O)C4CC4)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nc4ccccc4[nH]3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-n3ncc4ccccc4c3=O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3cc(C)ns3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N4CCOCC4)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(N)=O)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)[O-])cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)Nc4ccccc4)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3nccc4ccccc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(NS(C)(=O)=O)nc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(Cl)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3ncccn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NC(=O)C3CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(F)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(C4CCNCC4)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(CNC(C)=O)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(OCCO)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)N4CCOCC4)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)N4CCOCC4)cn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3ccncn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C)n(C)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(OC[C@H](C)O)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(OC[C@@H](C)O)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3ccccc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(F)(F)F)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(S(=O)(=O)NC)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(CS(=O)(=O)NC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3ccccc3O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N(C)C)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(S(=O)(=O)N(C)C)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3sc(C)nc3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3ccncc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C3CCCCC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C3CCN(S(C)(=O)=O)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3cncnc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3cccnc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3cnc(N)nc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C[C@H](O)CO)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@H]3CCN(C(=O)c4ccccc4)C3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnc(Cl)nc3)nc21; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cncnc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(C(=O)[O-])c3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N(C)C)c(Cl)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(Cl)ccc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(Br)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-n3ccnc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3ccc(OC)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cn[nH]c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc[nH]3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3c[nH]c4ccccc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(Cl)c(OC)cc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(N4CCOCC4)ccn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc4ccccc4cn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C)ns3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc4c(c3)CCO4)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cn3ccnc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C3CCN(C(=O)c4cccc(OC)c4)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(-c4ccccc4)[nH]n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(NC(C)=O)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(O)c(OC)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc4c3OCO4)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3scc4c3OCCO4)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NC(=O)NC(C)(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CC[C@@H]([NH3+])CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(F)c(F)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccnc3Oc3ccccc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnc4ccccc4c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(C)(C)C)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(C)(C)C)nc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)N(C)C)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CC[C@@H](NC(C)=O)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(OCCOC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N4CCOCC4)cc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(OCC3(C)COC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NC(=O)c3cccc(OC)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccco3)nc21; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ncc4ncn(CC)c4n3)cc2)CC1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C)nc(N)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CC[C@@H](O)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(SC)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C3CCOCC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@H](CO)Cc3ccccc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(F)cc3Cl)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@H]3CC[C@@H](O)C3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(OC)c(OC)c3)nc21; [None]; [None]; [0]
-CCCCCc1ncc2ncn(CC)c2n1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ncc(Br)cn3)nc21; [None]; [None]; [0]
-CCc1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
-CCn1cnc2cnc(NCc3ccc(OC)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([NH+](CC)CC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(CCCn3cncn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccsc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(Cl)cc3Cl)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc4ccccn4n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N4CCOCC4)c(OC)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ncc4cccn4n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc4c(c3)CC(C)(C)O4)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C)cc(C)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cn(C)nc3C(F)(F)F)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc4ccc(O)cc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N4CCCCC4)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc4ccc(OC)cc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(OC)c(OC)cc3F)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ncc(Cl)cn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(Cl)c(OC)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3nc(C)c(C)s3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ncnc4c(C)csc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3cc(C)n(C)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(-n4nccn4)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C)o3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(OC)c(Br)cc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3cc(OC)ccc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3ccc(S(=O)(=O)CCO)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3ccc(C(N)=O)cc3)nc21; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ncc3ncn(CC)c3n2)CC1; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CC[C@@H](OC)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NC(=O)c3ccco3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CC[C@@H](NC(=O)NC(C)C)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(F)cc4c3OCOC4)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(OC)cc(OC)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc4cn[nH]c4c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc4cc(OC)ccc4o3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C[NH+](C)C)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NC(=O)c3ccc(C(C)(C)C)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(OC(C)C)nc21; [None]; [None]; [0]
-CCn1cc(-c2ncc3ncn(CC)c3n2)cn1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C(=O)NC)ccc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(-c4cccnc4)ccn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc4ccccc4o3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(Br)cn3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nc(C)nc4ccsc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)NC)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ncc4sccc4n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NC(=O)OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cn(C)nc3C(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)N4CCC[C@@H]4C)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(NC(=O)N4CCCC4)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(OC(F)(F)F)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ncc4cc(Cl)ccc4n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(OC(F)(F)F)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nc4ccc(OC)cc4[nH]3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cn(C)c4ccccc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)[O-])c(Cl)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cscn3)nc21; [None]; [None]; [0]
-CCc1cccc(-c2ncc3ncn(CC)c3n2)n1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(N4CCC[C@@H]4C)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc4c(cnn4C)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C)c(C)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N(C)C)nc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C)c(OCCO)c(C)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(N4CCCC4=O)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc4c(C)n[nH]c4c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(CCC[NH+](C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C3CCS(=O)(=O)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C3CCC(F)(F)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(CCO)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N4CCC(O)CC4)cc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(CC3CCOCC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)N(C)C)cc3Cl)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N4CCNCC4)cc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(N4CCOCC4)cc3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3ccc(F)cn3)nc21; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)NC)cc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3ccccn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(S(C)(=O)=O)ccc3Cl)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(OCCC[NH+](C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3C(=O)NC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C(=O)NC)ccc3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C(=O)NCCO)ccc3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3C[C@H](O)C3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(CCC(C)(C)OC)nc21; [None]; [None]; [0]
-CCOc1ccccc1-c1ncc2ncn(CC)c2n1; [None]; [None]; [0]
-CCn1cnc2cnc([C@H](C)c3cc(F)ccc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3S(=O)(=O)C(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3-c3nnc(C)[nH]3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccnc4ccccc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3P(C)(C)=O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3cc(F)cc(F)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(C(F)(F)F)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccnc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc[nH]n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3Cl)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(C)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3F)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3Br)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3OC(F)(F)F)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3C#N)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnn(Cc4ccccc4)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3C(=O)[O-])nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccccc3C(N)=O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3c(F)cccc3F)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnc(-c4ccccc4)[nH]3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccncn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnn(CCO)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H](N)c3ccco3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3csc(C(C)(C)C)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CC[C@@H](CO)OC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(NC(=O)c4ccccc4)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc4c(c3)CCC4)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(CC3CCCCC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ncc(OC)cn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(OCC(=O)C(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnco3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C)cc3Br)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3c(C)nc4ccccn34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3sc(N)nc3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3sc(NC)nc3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NC(C)(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnc4ccccn34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(Cn4cncn4)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(Cl)c3Cl)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3c(Cl)cccc3Cl)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C)ccc3Cl)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(OC3CCCCC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnc(C)[nH]3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccnc(N)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(OC)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NCc3cccnc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc4ccccc4c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C(C)(C)CC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(N[C@H](C)CO)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3cccnc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(Cl)s3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(OCC(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NCCc3c[nH]cn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-n3cnc4ccccc43)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NC(=O)c3cccs3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C[C@H](N)C(=O)OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(O[C@H](C)[C@@H](C)O)nc21; [None]; [None]; [0]
-CCCCc1ncc2ncn(CC)c2n1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cncc4ccccc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(CC(=O)[O-])c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(-c4cnn(C)c4)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc4c(N)[nH]nc4c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NCCc3ccccc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(O[C@@H](C)C[NH+](C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(CCC[NH3+])nc21; [None]; [None]; [0]
-CCCn1cnc(-c2ncc3ncn(CC)c3n2)n1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cncn3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CCC[C@H]([NH3+])C3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(CO)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3c[nH]c(SC)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccs3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3ccncc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3csc4ncncc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NC(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnoc3C(C)C)nc21; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ncc4ncn(CC)c4n3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
-CCn1cnc2cnc(N3CCC(S(C)(=O)=O)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H](C)C(F)(F)F)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(CCC#N)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(OC)c(Cl)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(F)cc3C(F)(F)F)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnn4ccccc34)nc21; [None]; [None]; [0]
-CCC(=O)Nc1ncc2ncn(CC)c2n1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnoc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C)on3)nc21; [None]; [None]; [0]
-CCCn1cc(-c2ncc3ncn(CC)c3n2)cn1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc[nH]c(=O)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc4c3C(=O)CC4)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccn([C@@H2]CO)c(=O)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(C)(C)N)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(CCc3cc(OC)cc(OC)c3)nc21; [None]; [None]; [0]
-CCOC(=O)Cc1ncc2ncn(CC)c2n1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(Cl)c(C(=O)[O-])c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc([S@](C)=O)cc3)nc21; [None]; [None]; [0]
-CCN(CC)c1ncc2ncn(CC)c2n1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc4c(=O)[nH]ccc4o3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3cnccc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Nc3cnc4ccccc4c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnc4[nH]ccc4c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3c[nH]c4cnccc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(F)c3C(=O)NC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CCCN(C(=O)CC#N)C3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(C3(C)CCN(S(C)(=O)=O)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CC[C@@H](NC(=O)O)C3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CC[C@@H](C#N)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CC[C@@H](CCC#N)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@@H]3CC[C@@H](CC#N)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@H]3COCC[C@@H]3C#N)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(S(C)(=O)=O)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C)nn3-c3cccc(Cl)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-n3cnc(CCO)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-n3ccc(CO)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(N[C@@H](C)C(C)(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(N[C@@H](C)C(C)(C)O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(N[C@H](C)C(C)(C)O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(F)c3C(N)=O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-n3ncc4ccccc43)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nc[nH]n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccnc3O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-n3ncc4c(O)cccc43)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3[nH]c(SC)nc3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(-n4cncn4)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nc4ccc(O)cc4[nH]3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(OC)cc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NCC(C)(C)[NH3+])nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3[nH]cnc3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nncn3C(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nncn3[C@H](C)CO)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nncn3C3CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)c4ccccc4)cc3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(CCC(=O)NCc3ccccn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nncn3C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cn(Cc4ccccc4)nn3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(N[C@H](C)C(C)(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(OC3CCOCC3)nc21; [None]; [None]; [0]
-CCCCc1cc(-c2ncc3ncn(CC)c3n2)nc(N)n1; [None]; [None]; [0]
-CCc1cc(-c2ncc3ncn(CC)c3n2)nc(N)n1; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnc(N)s3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nnc(N)s3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cncc(C)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@H]3CCCN3C(N)=O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(C(=O)NC)s3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3csc(N4CCOCC4)n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3c(F)cccc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nc4ccccc4s3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc4ccsc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnc(NC(C)=O)[nH]3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cn(C)n(C)c3=O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3nc(N)c4ccccc4n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnccc3N3CCOCC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ncc4cc[nH]c4n3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3c[nH]c4cccnc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cc(C#N)ccc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(O[C@@H]3CC[C@H](O)CC3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3ccccc3NS(C)(=O)=O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(OC(C)(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(NCC(C)(C)C)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cnnc(N(C)C)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc([C@H]3CC[C@@](C)(O)CC3)nc21; [None]; [None]; [0]
-N#Cc1ccc(NC(=O)c2ccncc2)cc1; ['N#Cc1ccc(N)cc1']; ['O=C(Cl)c1ccncc1']; [0.999939442]
-CCn1cnc2cnc(-c3cc(OC)ccc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(N3CCC(c4nc5ccccc5[nH]4)CC3)nc21; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(NC(=O)c2ccncc2)cc1; ['CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1']; ['O=C(Cl)c1ccncc1', 'O=C(O)c1ccncc1']; [0.999959, 0.999959]
-CCn1cnc2cnc(N3CC=C(c4c[nH]c5ccccc45)CC3)nc21; [None]; [None]; [0]
-O=C(Nc1ncc2ccccc2n1)c1ccncc1; [None]; [None]; [0]
-COc1ncccc1NC(=O)c1ccncc1; ['COc1ncccc1N']; ['O=C(Cl)c1ccncc1']; [0.998443186]
-CCOc1ccc(NC(=O)c2ccncc2)cc1; ['CCOc1ccc(N)cc1', 'CCOc1ccc(N)cc1']; ['O=C(Cl)c1ccncc1', 'COC(=O)c1ccncc1']; [0.999888539, 0.999888539]
-COc1cccc(N2CCC(NC(=O)c3ccncc3)CC2)c1; [None]; [None]; [0]
-Cc1n[nH]cc1NC(=O)c1ccncc1; ['Cc1n[nH]cc1N']; ['O=C(Cl)c1ccncc1']; [0.999442637]
-CS(=O)(=O)c1cccc(NC(=O)c2ccncc2)c1; ['CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc([N+](=O)[O-])c1']; ['O=C(Cl)c1ccncc1', 'O=C(Cl)c1ccncc1']; [0.999946833, 0.999946833]
-Cn1cc(NC(=O)c2ccncc2)cn1; ['Cn1cc(N)cn1']; ['O=C(O)c1ccncc1']; [0.999618649]
-COc1cc(NC(=O)c2ccncc2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC']; ['O=C(O)c1ccncc1']; [0.99993825]
-Cn1nncc1NC(=O)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1cccc(O)c1)c1ccncc1; ['Nc1cccc(O)c1']; ['O=C(O)c1ccncc1']; [0.988542795]
-Cc1nn(C)cc1NC(=O)c1ccncc1; ['Cc1nn(C)cc1Cl']; ['NC(=O)c1ccncc1']; [0.874304473]
-O=C(Nc1cnc2cccnn12)c1ccncc1; [None]; [None]; [0]
-COc1ccc(NC(=O)c2ccncc2)cc1; ['COC(=O)c1ccncc1', 'CCOC(=O)c1ccncc1']; ['COc1ccc(N)cc1', 'COc1ccc(N)cc1']; [0.996312678, 0.996312678]
-O=C(Nc1nc2ccccc2[nH]1)c1ccncc1; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; ['O=C(O)c1ccncc1', 'O=C(Cl)c1ccncc1']; [0.999889135, 0.999889135]
-O=C(Nc1cccc(NC(=O)C2CC2)c1)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1ccc(N2CCOCC2)cc1)c1ccncc1; ['Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1']; ['O=C(Cl)c1ccncc1', 'O=Cc1ccncc1']; [0.999835, 0.999835]
-O=C([O-])c1ccc(NC(=O)c2ccncc2)cc1; ['Nc1ccc(C(=O)[O-])cc1']; ['O=C(Cl)c1ccncc1']; [0.985456765]
-O=C(Nc1ccccc1)c1ccncc1; ['Nc1ccccc1']; ['O=C(Cl)c1ccncc1']; [0.999739349]
-O=C(Nc1ccc(C(=O)Nc2ccccc2)cc1)c1ccncc1; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; ['O=C(O)c1ccncc1']; [0.930264592]
-CS(=O)(=O)Nc1ccc(NC(=O)c2ccncc2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(NC(=O)c2ccncc2)cc1; ['NC(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccncc1']; [0.999927521]
-O=C(NNc1ncccn1)c1ccncc1; ['NNc1ncccn1']; ['O=C(Cl)c1ccncc1']; [0.999879241]
-O=C(Nc1ccc(Cl)cc1)c1ccncc1; ['COC(=O)c1ccncc1']; ['Nc1ccc(Cl)cc1']; [0.999051034]
-O=C(Nc1cccc(F)c1)c1ccncc1; ['Fc1cccc(Br)c1', 'COC(=O)c1ccncc1']; ['NC(=O)c1ccncc1', 'Nc1cccc(F)c1']; [0.992571652, 0.992571652]
-O=C(NCc1nccc2ccccc12)c1ccncc1; ['NCc1nccc2ccccc12']; ['O=C(O)c1ccncc1']; [0.999873161]
-CC(=O)NCc1ccc(NC(=O)c2ccncc2)cc1; [None]; [None]; [0]
-O=C(NCCCO)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1ccc(OCCO)cc1)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)N2CCOCC2)cc1)c1ccncc1; ['Nc1ccc(C(=O)N2CCOCC2)cc1']; ['O=C(Cl)c1ccncc1']; [0.999998212]
-O=C(Nc1cccc(C2CCNCC2)c1)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1ccc(C(=O)N2CCOCC2)cn1)c1ccncc1; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccncc2)nn1C; ['Cc1cc(N)nn1C']; ['O=C(O)c1ccncc1']; [0.99922812]
-CNS(=O)(=O)c1ccc(NC(=O)c2ccncc2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(NC(=O)c2ccncc2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(NC(=O)c2ccncc2)cc1; ['CN(C)S(=O)(=O)c1ccc(N)cc1']; ['O=C(O)c1ccncc1']; [0.999639153]
-C[C@H](O)COc1ccc(NC(=O)c2ccncc2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(NC(=O)c2ccncc2)cc1; ['CCOC(=O)c1ccncc1', 'CN(C)c1ccc([N+](=O)[O-])cc1']; ['CN(C)c1ccc(N)cc1', 'O=C(Cl)c1ccncc1']; [0.998891294, 0.998891294]
-O=C(Nc1ccc(C(F)(F)F)cc1)c1ccncc1; ['Nc1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1']; ['O=C(Cl)c1ccncc1', 'NC(=O)c1ccncc1']; [0.999490857, 0.999490857]
-CS(=O)(=O)N1CCC(NC(=O)c2ccncc2)CC1; ['CS(=O)(=O)N1CCC(N)CC1']; ['O=C(Cl)c1ccncc1']; [0.999936342]
-O=C(NC1CCCCC1)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1cnc(Cl)nc1)c1ccncc1; ['Nc1cnc(Cl)nc1']; ['O=C(Cl)c1ccncc1']; [0.999514937]
-Cc1nc(C)c(NC(=O)c2ccncc2)s1; [None]; [None]; [0]
-O=C(Nc1cncnc1)c1ccncc1; ['Nc1cncnc1']; ['O=C(Cl)c1ccncc1']; [0.999829054]
-Cc1c(NC(=O)c2ccncc2)cccc1C(=O)[O-]; [None]; [None]; [0]
-O=C(Nc1ccc(Br)cc1)c1ccncc1; ['Brc1ccc(I)cc1', 'COC(=O)c1ccncc1']; ['NC(=O)c1ccncc1', 'Nc1ccc(Br)cc1']; [0.99678123, 0.99678123]
-COc1ccc(Cl)cc1NC(=O)c1ccncc1; ['COc1ccc(Cl)cc1[N+](=O)[O-]']; ['O=C(Cl)c1ccncc1']; [0.997244239]
-O=C(N[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1ccncc1; ['Nc1cn[nH]c1', 'Nc1cn[nH]c1', 'COC(=O)c1ccncc1']; ['O=C(Cl)c1ccncc1', 'O=C(O)c1ccncc1', 'Nc1cn[nH]c1']; [0.999874592, 0.999874592, 0.999874592]
-CCNS(=O)(=O)c1ccc(NC(=O)c2ccncc2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1']; ['O=C(O)c1ccncc1']; [0.999375403]
-COc1cc(OC)c(NC(=O)c2ccncc2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N', 'COC(=O)c1ccncc1', 'COc1cc(OC)c(N=C=O)cc1Cl']; ['O=C(Cl)c1ccncc1', 'COc1cc(OC)c(Cl)cc1N', 'Ic1ccncc1']; [0.999755681, 0.999755681, 0.999755681]
-O=C(Nc1ccc[nH]1)c1ccncc1; [None]; [None]; [0]
-CN(C)c1ccc(NC(=O)c2ccncc2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['O=C(Cl)c1ccncc1']; [0.999811232]
-O=C(Nc1ccc2c(c1)CCO2)c1ccncc1; ['Nc1ccc2c(c1)CCO2']; ['O=C(O)c1ccncc1']; [0.99992]
-O=C(Nc1cc(N2CCOCC2)ccn1)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1cc(-c2ccccc2)[nH]n1)c1ccncc1; ['Nc1cc(-c2ccccc2)[nH]n1', 'Nc1cc(-c2ccccc2)[nH]n1']; ['O=C(O)c1ccncc1', 'O=C(Cl)c1ccncc1']; [0.998268723, 0.998268723]
-O=C(Nc1c[nH]c2ccccc12)c1ccncc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(NC(=O)c2ccncc2)c1; ['CC(=O)Nc1cccc(N)c1']; ['O=C(O)c1ccncc1']; [0.998954058]
-COc1cc(NC(=O)c2ccncc2)ccc1O; ['COc1cc(N)ccc1O']; ['O=C(O)c1ccncc1']; [0.999904513]
-Cc1cc(NC(=O)c2ccncc2)sn1; ['Cc1cc(N)sn1']; ['O=C(Cl)c1ccncc1']; [0.999948144]
-O=C(Nc1cc2ccccc2cn1)c1ccncc1; ['Nc1cc2ccccc2cn1', 'COC(=O)c1ccncc1']; ['O=C(Cl)c1ccncc1', 'Nc1cc2ccccc2cn1']; [0.999871731, 0.999871731]
-O=C(Nc1cccc2c1OCO2)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1ccc(F)c(F)c1)c1ccncc1; ['Nc1ccc(F)c(F)c1', 'Fc1ccc(Cl)cc1F']; ['O=C(Cl)c1ccncc1', 'NC(=O)c1ccncc1']; [0.999989152, 0.999989152]
-COc1cccc(C(=O)N2CCC(NC(=O)c3ccncc3)CC2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](NC(=O)c2ccncc2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(NC(=O)c2ccncc2)cc1; ['CC(C)(C)c1ccc(N)cc1']; ['COC(=O)c1ccncc1']; [0.999478161]
-O=C(Nc1cnc2ccccc2c1)c1ccncc1; ['Nc1cnc2ccccc2c1']; ['O=C(Cl)c1ccncc1']; [0.999995828]
-O=C(Nc1scc2c1OCCO2)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1cccnc1Oc1ccccc1)c1ccncc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(NC(=O)c2ccncc2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CCOC(=O)c1ccncc1']; ['O=C(O)c1ccncc1', 'COC(=O)c1ccncc1', 'CN(C)C(=O)c1ccc(N)cc1']; [0.999966383, 0.999966383, 0.999966383]
-COc1cc(N2CCOCC2)ccc1NC(=O)c1ccncc1; ['COc1cc(N2CCOCC2)ccc1N', 'COc1cc(N2CCOCC2)ccc1N']; ['O=C(O)c1ccncc1', 'O=C(Cl)c1ccncc1']; [0.9999156, 0.9999156]
-CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccncc2)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(NC(=O)c2ccncc2)cn1; [None]; [None]; [0]
-COCCNC(=O)c1ccncc1; ['COCCN']; ['O=C(Cl)c1ccncc1']; [0.999936461]
-COc1cccc(C(=O)NNC(=O)c2ccncc2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)NN)c1']; ['NNC(=O)c1ccncc1', 'O=C(Cl)c1ccncc1']; [0.998684227, 0.998684227]
-O=C(Nc1ccco1)c1ccncc1; ['O=C(Cl)c1ccncc1']; ['O=[N+]([O-])c1ccco1']; [0.997013569]
-CCN1CCN(Cc2ccc(NC(=O)c3ccncc3)cc2)CC1; [None]; [None]; [0]
-O=C(N[C@@H]1CC[C@@H](O)CC1)c1ccncc1; ['ClCc1ccncc1', 'N[C@H]1CC[C@H](O)CC1']; ['N[C@H]1CC[C@H](O)CC1', 'O=Cc1ccncc1']; [0.999951124, 0.999951124]
-Cc1cc(NC(=O)c2ccncc2)nc(N)n1; [None]; [None]; [0]
-CC[C@@H](CO)NC(=O)c1ccncc1; ['CC[C@H](N)CO']; ['COC(=O)c1ccncc1']; [0.999546587]
-CSc1cccc(NC(=O)c2ccncc2)c1; ['CSc1cccc(N)c1']; ['O=C(O)c1ccncc1']; [0.999867558]
-O=C(Nc1ccc(F)cc1Cl)c1ccncc1; ['Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'COC(=O)c1ccncc1', 'CCOC(=O)c1ccncc1', 'Fc1ccc(I)c(Cl)c1']; ['O=C(Cl)c1ccncc1', 'O=C(O)c1ccncc1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'NC(=O)c1ccncc1']; [0.999650478, 0.999650478, 0.999650478, 0.999650478, 0.999650478]
-COc1ccc(NC(=O)c2ccncc2)cc1OC; ['COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'CCOC(=O)c1ccncc1']; ['O=C(Cl)c1ccncc1', 'O=C(Oc1ccccc1)c1ccncc1', 'COc1ccc(N)cc1OC']; [0.999914289, 0.999914289, 0.999914289]
-O=C(NC1CCOCC1)c1ccncc1; ['NC1CCOCC1', 'COC(=O)c1ccncc1', 'NC(=O)c1ccncc1']; ['O=C(Cl)c1ccncc1', 'NC1CCOCC1', 'NC1CCOCC1']; [0.999989033, 0.999989033, 0.999989033]
-O=C(Nc1ncc(Br)cn1)c1ccncc1; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['O=C(Cl)c1ccncc1', 'O=C(O)c1ccncc1']; [0.999985, 0.999985]
-O=C(Nc1ccc(Cl)cc1Cl)c1ccncc1; ['Nc1ccc(Cl)cc1Cl']; ['O=C(Cl)c1ccncc1']; [0.999013662]
-O=C(N[C@H]1CC[C@@H](O)C1)c1ccncc1; [None]; [None]; [0]
-CCc1ccc(NC(=O)c2ccncc2)cc1; ['CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1']; ['NC(=O)c1ccncc1', 'NC(=O)c1ccncc1']; [0.994108558, 0.994108558]
-O=C(Nc1ccsc1)c1ccncc1; ['Nc1ccsc1', 'COC(=O)c1ccncc1']; ['O=C(O)c1ccncc1', 'Nc1ccsc1']; [0.998826683, 0.998826683]
-COc1cc(NC(=O)c2ccncc2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cc(C)cc(NC(=O)c2ccncc2)c1; ['Cc1cc(C)cc(N)c1']; ['O=C(Cl)c1ccncc1']; [0.999618173]
-O=C(Nc1ncc2cccn2n1)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1cc2ccccn2n1)c1ccncc1; [None]; [None]; [0]
-Cn1cc(NC(=O)c2ccncc2)c(C(F)(F)F)n1; [None]; [None]; [0]
-O=C(Nc1ccc(N2CCCCC2)cc1)c1ccncc1; ['Nc1ccc(N2CCCCC2)cc1']; ['O=C(O)c1ccncc1']; [0.999693274]
-CC1(C)Cc2cc(NC(=O)c3ccncc3)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(NC(=O)c3ccncc3)c2c1; [None]; [None]; [0]
-O=C(Nc1cccc2ccc(O)cc12)c1ccncc1; ['Nc1cccc2ccc(O)cc12']; ['O=C(O)c1ccncc1']; [0.999741614]
-COc1cc(NC(=O)c2ccncc2)ccc1Cl; ['COC(=O)c1ccncc1', 'COc1cc([N+](=O)[O-])ccc1Cl']; ['COc1cc(N)ccc1Cl', 'O=C(Cl)c1ccncc1']; [0.999506474, 0.999506474]
-O=C(Nc1ncc(Cl)cn1)c1ccncc1; ['Nc1ncc(Cl)cn1', 'COC(=O)c1ccncc1']; ['O=C(O)c1ccncc1', 'Nc1ncc(Cl)cn1']; [0.999825656, 0.999825656]
-COc1cc(F)c(NC(=O)c2ccncc2)cc1OC; [None]; [None]; [0]
-O=C(Nc1cccc(-n2nccn2)c1)c1ccncc1; ['COC(=O)c1ccncc1']; ['Nc1cccc(-n2nccn2)c1']; [0.999254167]
-Cc1ccc(NC(=O)c2ccncc2)o1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](NC(=O)c2ccncc2)CC1; [None]; [None]; [0]
-Cc1csc2c(NC(=O)c3ccncc3)ncnc12; [None]; [None]; [0]
-CCNC(=O)N1CCC(NC(=O)c2ccncc2)CC1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccncc2)cc(OC)c1; ['COc1cc(N)cc(OC)c1', 'CCOC(=O)c1ccncc1', 'COc1cc(N)cc(OC)c1']; ['O=C(O)c1ccncc1', 'COc1cc(N)cc(OC)c1', 'O=Cc1ccncc1']; [0.998665094, 0.998665094, 0.998665094]
-COc1cc(NC(=O)c2ccncc2)c(OC)cc1Br; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccncc2)CC1; [None]; [None]; [0]
-O=C(Nc1ccc2cn[nH]c2c1)c1ccncc1; ['Nc1ccc2cn[nH]c2c1']; ['O=Cc1ccncc1']; [0.999115288]
-C[NH+](C)Cc1ccc(NC(=O)c2ccncc2)cc1; [None]; [None]; [0]
-O=C(Nc1cc(F)cc2c1OCOC2)c1ccncc1; [None]; [None]; [0]
-COc1ccc2oc(NC(=O)c3ccncc3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(NC(=O)c2ccncc2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'CCOC(=O)c1ccncc1']; ['O=C(Cl)c1ccncc1', 'CNC(=O)c1ccc(OC)c(N)c1']; [0.998506725, 0.998506725]
-O=C(Nc1cc(-c2cccnc2)ccn1)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1cc2ccccc2o1)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1ncc2sccc2n1)c1ccncc1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2ccncc2)cc1; ['CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CCOC(=O)c1ccncc1']; ['O=C(Cl)c1ccncc1', 'O=C(Oc1ccccc1)c1ccncc1', 'CNC(=O)c1ccc(N)cc1']; [0.998340964, 0.998340964, 0.998340964]
-Cc1nc(NC(=O)c2ccncc2)c2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1NC(=O)c1ccncc1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(NC(=O)c2ccncc2)cc1; [None]; [None]; [0]
-O=C(Nc1ncc2cc(Cl)ccc2n1)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1ccc(OC(F)(F)F)cc1)c1ccncc1; ['Nc1ccc(OC(F)(F)F)cc1', 'O=C(Cl)c1ccncc1', 'Ic1ccncc1']; ['O=C(O)c1ccncc1', 'O=[N+]([O-])c1ccc(OC(F)(F)F)cc1', 'O=C=Nc1ccc(OC(F)(F)F)cc1']; [0.999742329, 0.999742329, 0.999742329]
-O=C(Nc1cccc(NC(=O)N2CCCC2)c1)c1ccncc1; [None]; [None]; [0]
-COc1ccc2nc(NC(=O)c3ccncc3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cscn1)c1ccncc1; ['Clc1cscn1']; ['NC(=O)c1ccncc1']; [0.999896884]
-O=C(Nc1ccc(C(=O)[O-])c(Cl)c1)c1ccncc1; [None]; [None]; [0]
-Cn1cc(NC(=O)c2ccncc2)c2ccccc21; [None]; [None]; [0]
-CCc1cccc(NC(=O)c2ccncc2)n1; ['CCc1cccc(N)n1', 'CCc1cccc(N)n1']; ['O=C(Cl)c1ccncc1', 'COC(=O)c1ccncc1']; [0.999911666, 0.999911666]
-Cc1ccc(NC(=O)c2ccncc2)nc1C; ['Cc1ccc(N)nc1C']; ['O=C(O)c1ccncc1']; [0.99984014]
-C[C@H]1CCCN1c1cccc(NC(=O)c2ccncc2)n1; [None]; [None]; [0]
-CN(C)c1ccc(NC(=O)c2ccncc2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(NC(=O)c3ccncc3)ccc12; [None]; [None]; [0]
-O=C(NC1CCS(=O)(=O)CC1)c1ccncc1; ['COC(=O)c1ccncc1']; ['NC1CCS(=O)(=O)CC1']; [0.998951316]
-O=C(NC1CCC(F)(F)CC1)c1ccncc1; ['NC1CCC(F)(F)CC1', 'NC1CCC(F)(F)CC1', 'COC(=O)c1ccncc1']; ['O=C(Cl)c1ccncc1', 'O=C(O)c1ccncc1', 'NC1CCC(F)(F)CC1']; [0.999973416, 0.999973416, 0.999973416]
-Cc1cc(NC(=O)c2ccncc2)cc(C)c1OCCO; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1NC(=O)c1ccncc1; ['COc1cc(N2CCC(O)CC2)ccc1N', 'COC(=O)c1ccncc1']; ['O=C(O)c1ccncc1', 'COc1cc(N2CCC(O)CC2)ccc1N']; [0.999935746, 0.999935746]
-O=C(Nc1cccc(N2CCCC2=O)c1)c1ccncc1; ['COC(=O)c1ccncc1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.998892486]
-CN(C)C(=O)c1ccc(NC(=O)c2ccncc2)c(Cl)c1; [None]; [None]; [0]
-O=C(Nc1ccc(CCO)cc1)c1ccncc1; ['Nc1ccc(CCO)cc1']; ['O=C(O)c1ccncc1']; [0.999777257]
-Cc1cc(N2CCOCC2)ccc1NC(=O)c1ccncc1; ['Cc1cc(N2CCOCC2)ccc1N']; ['O=C(O)c1ccncc1']; [0.999970555]
-COc1cc(N2CCNCC2)ccc1NC(=O)c1ccncc1; [None]; [None]; [0]
-CCNC(=O)c1ccc(NC(=O)c2ccncc2)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['O=C(Cl)c1ccncc1']; [0.994690299]
-CNC(=O)c1ccc(NC(=O)c2ccncc2)c(OC)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(NC(=O)c2ccncc2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(NC(=O)c2ccncc2)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)NC(=O)c1ccncc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(C#N)cc2)o1; ['Cc1ccco1']; ['N#Cc1ccc(N=C=O)cc1']; [0.816280127]
-Cc1ccc(C(=O)NCCO)cc1NC(=O)c1ccncc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ncc3ccccc3n2)o1; [None]; [None]; [0]
-CCOc1ccc(NC(=O)c2ccc(C)o2)cc1; ['CCOc1ccc(N)cc1']; ['Cc1ccc(C(=O)O)o1']; [0.979862392]
-CC(=O)N(C)c1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
-COc1ncccc1NC(=O)c1ccc(C)o1; [None]; [None]; [0]
-COc1cccc(N2CCC(NC(=O)c3ccc(C)o3)CC2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2c[nH]nc2C)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cccc(S(C)(=O)=O)c2)o1; ['CS(=O)(=O)c1cccc(N)c1']; ['Cc1ccc(C(=O)O)o1']; [0.998643339]
-Cc1ccc(C(=O)Nc2cnn(C)c2)o1; ['Cc1ccc(C(=O)O)o1']; ['Cn1cc(N)cn1']; [0.976912141]
-Cc1ccc(C(=O)Nc2cnnn2C)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cccc(O)c2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1cccc(O)c1']; [0.98970288]
-COc1cc(NC(=O)c2ccc(C)o2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cn(C)nc2C)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cnc3cccnn23)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(N3CCOCC3)cc2)o1; ['Cc1ccc(C(=O)O)o1', 'COC(=O)c1ccc(C)o1']; ['Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1']; [0.999126256, 0.999126256]
-COc1ccc(NC(=O)c2ccc(C)o2)cc1; ['COc1ccc(N=C=O)cc1']; ['Cc1ccco1']; [0.916845381]
-Cc1ccc(C(=O)Nc2cccc(NC(=O)C3CC3)c2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccccc2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccccc1']; [0.953046739]
-Cc1ccc(C(=O)Nc2nc3ccccc3[nH]2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1nc2ccccc2[nH]1']; [0.98372227]
-Cc1ccc(C(=O)Nc2ccc(C(N)=O)cc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(NS(C)(=O)=O)nc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCc2nccc3ccccc23)o1; ['Cc1ccc(C(=O)O)o1']; ['NCc1nccc2ccccc12']; [0.999926]
-Cc1ccc(C(=O)Nc2ccc(C(=O)[O-])cc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(C(=O)Nc3ccccc3)cc2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.920262039]
-Cc1ccc(C(=O)NCCCO)o1; ['COC(=O)c1ccc(C)o1']; ['NCCCO']; [0.98684442]
-Cc1ccc(C(=O)NNc2ncccn2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(Cl)cc2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccc(Cl)cc1']; [0.964981675]
-Cc1ccc(C(=O)Nc2cccc(F)c2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1cccc(F)c1']; [0.9739]
-Cc1ccc(C(=O)Nc2cccc(C3CCNCC3)c2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(OCCO)cc2)o1; ['Cc1ccc(C(=O)Nc2ccc(O)cc2)o1', 'Cc1ccc(C(=O)Nc2ccc(O)cc2)o1']; ['OCCCl', 'O=C1OCCO1']; [0.999752223, 0.999752223]
-CC(=O)NCc1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(C(=O)N3CCOCC3)cc2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1']; [0.999951839]
-Cc1ccc(C(=O)Nc2cc(C)n(C)n2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(C(=O)N3CCOCC3)cn2)o1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(NC(=O)c2ccc(C)o2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['Cc1ccc(C(=O)O)o1']; [0.993994892]
-Cc1ccc(C(=O)Nc2ccc(OC[C@H](C)O)cc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(C(F)(F)F)cc2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccc(C(F)(F)F)cc1']; [0.990921259]
-Cc1ccc(C(=O)Nc2ccc(OC[C@@H](C)O)cc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(S(=O)(=O)N(C)C)cc2)o1; ['CN(C)S(=O)(=O)c1ccc(N)cc1']; ['Cc1ccc(C(=O)O)o1']; [0.998844]
-Cc1ccc(C(=O)Nc2ccc(N(C)C)cc2)o1; ['CN(C)c1ccc(N)cc1']; ['Cc1ccc(C(=O)O)o1']; [0.995062411]
-Cc1ccc(C(=O)Nc2sc(C)nc2C)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)NC2CCN(S(C)(=O)=O)CC2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)NC2CCCCC2)o1; ['COC(=O)c1ccc(C)o1']; ['NC1CCCCC1']; [0.986266375]
-Cc1ccc(C(=O)N[C@H]2CCN(C(=O)c3ccccc3)C2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cncnc2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1cncnc1']; [0.974949837]
-CCNS(=O)(=O)c1ccc(NC(=O)c2ccc(C)o2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1']; ['Cc1ccc(C(=O)O)o1']; [0.946677327]
-Cc1ccc(C(=O)Nc2ccc(Br)cc2)o1; ['Cc1ccco1']; ['O=C=Nc1ccc(Br)cc1']; [0.911204338]
-Cc1ccc(C(=O)Nc2cnc(Cl)nc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(N(C)C)c(Cl)c2)o1; ['CN(C)c1ccc(N)cc1Cl']; ['Cc1ccc(C(=O)O)o1']; [0.998804569]
-Cc1ccc(C(=O)Nc2c[nH]c3ccccc23)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cn[nH]c2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1cn[nH]c1']; [0.994516671]
-COc1cc(OC)c(NC(=O)c2ccc(C)o2)cc1Cl; ['COC(=O)c1ccc(C)o1']; ['COc1cc(OC)c(Cl)cc1N']; [0.9734056]
-Cc1ccc(C(=O)Nc2cccc(C(=O)[O-])c2C)o1; [None]; [None]; [0]
-Cc1cc(NC(=O)c2ccc(C)o2)sn1; ['Cc1cc(N)sn1']; ['Cc1ccc(C(=O)O)o1']; [0.983934104]
-COc1ccc(Cl)cc1NC(=O)c1ccc(C)o1; ['COc1ccc(Cl)cc1N']; ['Cc1ccc(C(=O)O)o1']; [0.998957157]
-Cc1ccc(C(=O)Nc2cc3ccccc3cn2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1cc2ccccc2cn1']; [0.997974932]
-Cc1ccc(C(=O)Nc2ccc3c(c2)CCO3)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccc2c(c1)CCO2']; [0.999762118]
-CC(=O)Nc1cccc(NC(=O)c2ccc(C)o2)c1; ['CC(=O)Nc1cccc(N)c1']; ['Cc1ccc(C(=O)O)o1']; [0.920612]
-COc1cccc(C(=O)N2CCC(NC(=O)c3ccc(C)o3)CC2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc[nH]2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cc(N3CCOCC3)ccn2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cccc3c2OCO3)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cc(-c3ccccc3)[nH]n2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(F)c(F)c2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccc(F)c(F)c1']; [0.99826616]
-Cc1ccc(C(=O)Nc2scc3c2OCCO3)o1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccc(C)o2)ccc1O; ['COc1cc(N)ccc1O']; ['Cc1ccc(C(=O)O)o1']; [0.984155536]
-Cc1ccc(C(=O)Nc2cnc3ccccc3c2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cccnc2Oc2ccccc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(C(=O)N(C)C)cc2)o1; ['CN(C)C(=O)c1ccc(N)cc1']; ['Cc1ccc(C=O)o1']; [0.984489441]
-Cc1ccc(C(=O)N[C@@H]2CC[C@@H]([NH3+])CC2)o1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1NC(=O)c1ccc(C)o1; ['COC(=O)c1ccc(C)o1']; ['COc1cc(N2CCOCC2)ccc1N']; [0.99131]
-Cc1ccc(C(=O)Nc2ccc(C(C)(C)C)cc2)o1; ['CC(C)(C)c1ccc(N)cc1']; ['Cc1ccc(C(=O)O)o1']; [0.997771561]
-CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccc(C)o2)CC1; [None]; [None]; [0]
-COCCNC(=O)c1ccc(C)o1; ['COC(=O)c1ccc(C)o1']; ['COCCN']; [0.990243256]
-Cc1ccc(C(=O)Nc2ccc(C(C)(C)C)nc2)o1; [None]; [None]; [0]
-COc1cccc(C(=O)NNC(=O)c2ccc(C)o2)c1; ['COc1cccc(C(=O)Cl)c1']; ['Cc1ccc(C(=O)NN)o1']; [0.998773634]
-Cc1ccc(C(=O)Nc2ccco2)o1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(NC(=O)c3ccc(C)o3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1']; ['COC(=O)c1ccc(C)o1']; [0.954480231]
-Cc1ccc(C(=O)N[C@@H]2CC[C@@H](O)CC2)o1; ['COC(=O)c1ccc(C)o1']; ['N[C@H]1CC[C@H](O)CC1']; [0.995938897]
-CSc1cccc(NC(=O)c2ccc(C)o2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NC2CCOCC2)o1; ['Cc1ccc(C(=O)O)o1']; ['NC1CCOCC1']; [0.999902844]
-Cc1cc(NC(=O)c2ccc(C)o2)nc(N)n1; [None]; [None]; [0]
-CC[C@@H](CO)NC(=O)c1ccc(C)o1; ['CC[C@H](N)CO']; ['COC(=O)c1ccc(C)o1']; [0.979587555]
-Cc1ccc(C(=O)Nc2ccc(F)cc2Cl)o1; [None]; [None]; [0]
-COc1ccc(NC(=O)c2ccc(C)o2)cc1OC; [None]; [None]; [0]
-Cc1ccc(C(=O)N[C@H]2CC[C@@H](O)C2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ncc(Br)cn2)o1; [None]; [None]; [0]
-CCc1ccc(NC(=O)c2ccc(C)o2)cc1; ['CCc1ccc(N)cc1']; ['Cc1ccc(C(=O)O)o1']; [0.985972762]
-Cc1ccc(C(=O)Nc2ccsc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(Cl)cc2Cl)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccc(Cl)cc1Cl']; [0.992878616]
-Cc1ccc(C(=O)Nc2ncc3cccn3n2)o1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccc(C)o2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cc3ccccn3n2)o1; [None]; [None]; [0]
-Cc1cc(C)cc(NC(=O)c2ccc(C)o2)c1; ['Cc1cc(C)cc(N)c1', 'Cc1cc(C)cc(N=C=O)c1']; ['Cc1ccc(C(=O)O)o1', 'Cc1ccco1']; [0.991076589, 0.991076589]
-Cc1ccc(C(=O)Nc2cn(C)nc2C(F)(F)F)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc3c(c2)CC(C)(C)O3)o1; [None]; [None]; [0]
-COc1ccc2cccc(NC(=O)c3ccc(C)o3)c2c1; [None]; [None]; [0]
-COc1cc(NC(=O)c2ccc(C)o2)ccc1Cl; ['COc1cc(N)ccc1Cl']; ['Cc1ccc(C(=O)O)o1']; [0.996661663]
-Cc1ccc(C(=O)Nc2ccc(N3CCCCC3)cc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cccc3ccc(O)cc23)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1cccc2ccc(O)cc12']; [0.997106373]
-Cc1ccc(C(=O)Nc2cccc(-n3nccn3)c2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1cccc(-n2nccn2)c1']; [0.999689817]
-COc1cc(F)c(NC(=O)c2ccc(C)o2)cc1OC; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ncc(Cl)cn2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ncnc3c(C)csc23)o1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](NC(=O)c2ccc(C)o2)CC1; [None]; [None]; [0]
-Cc1ccc(NC(=O)c2ccc(C)o2)o1; [None]; [None]; [0]
-CCNC(=O)N1CCC(NC(=O)c2ccc(C)o2)CC1; ['CCNC(=O)N1CCC(N)CC1']; ['Cc1ccc(C(=O)O)o1']; [0.999715626]
-COc1cc(NC(=O)c2ccc(C)o2)cc(OC)c1; ['COc1cc(N)cc(OC)c1']; ['Cc1ccc(C(=O)O)o1']; [0.997218966]
-COc1cc(NC(=O)c2ccc(C)o2)c(OC)cc1Br; [None]; [None]; [0]
-Cc1ccc(C(=O)N[C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc3cn[nH]c3c2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccc2cn[nH]c2c1']; [0.999815524]
-Cc1ccc(C(=O)Nc2cc(F)cc3c2OCOC3)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(C[NH+](C)C)cc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cc(-c3cccnc3)ccn2)o1; [None]; [None]; [0]
-COc1ccc2oc(NC(=O)c3ccc(C)o3)cc2c1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cc3ccccc3o2)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2ccc(C)o2)cc1; ['CNC(=O)c1ccc(N)cc1']; ['Cc1ccc(C(=O)O)o1']; [0.990642]
-CNC(=O)c1ccc(OC)c(NC(=O)c2ccc(C)o2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['COC(=O)c1ccc(C)o1']; [0.997006238]
-Cc1ccc(C(=O)Nc2ncc3cc(Cl)ccc3n2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ncc3sccc3n2)o1; [None]; [None]; [0]
-Cc1nc(NC(=O)c2ccc(C)o2)c2sccc2n1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cn(C)nc2C(C)C)o1; [None]; [None]; [0]
-COc1ccc2nc(NC(=O)c3ccc(C)o3)[nH]c2c1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(C(=O)N3CCC[C@@H]3C)cc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cccc(NC(=O)N3CCCC3)c2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(OC(F)(F)F)cc2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccc(OC(F)(F)F)cc1']; [0.998718858]
-Cc1ccc(C(=O)Nc2ccc(C(=O)[O-])c(Cl)c2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cscn2)o1; [None]; [None]; [0]
-CCc1cccc(NC(=O)c2ccc(C)o2)n1; ['CCc1cccc(N)n1']; ['Cc1ccc(C(=O)O)o1']; [0.999176562]
-Cc1ccc(C(=O)Nc2cn(C)c3ccccc23)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cccc(N3CCC[C@@H]3C)n2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(C)c(C)n2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(N(C)C)nc2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)NC2CCC(F)(F)CC2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cc(C)c(OCCO)c(C)c2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc3c(C)n[nH]c3c2)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cccc(N3CCCC3=O)c2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1cccc(N2CCCC2=O)c1']; [0.993120074]
-COc1cc(N2CCC(O)CC2)ccc1NC(=O)c1ccc(C)o1; ['COc1cc(N2CCC(O)CC2)ccc1N']; ['Cc1ccc(C(=O)O)o1']; [0.998459101]
-Cc1ccc(C(=O)Nc2ccc(CCO)cc2)o1; ['Cc1ccc(C(=O)O)o1']; ['Nc1ccc(CCO)cc1']; [0.992970049]
-Cc1ccc(C(=O)NC2CCS(=O)(=O)CC2)o1; ['COC(=O)c1ccc(C)o1']; ['NC1CCS(=O)(=O)CC1']; [0.994920075]
-COc1cc(N2CCNCC2)ccc1NC(=O)c1ccc(C)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(N3CCOCC3)cc2C)o1; ['COC(=O)c1ccc(C)o1']; ['Cc1cc(N2CCOCC2)ccc1N']; [0.999026418]
-Cc1ccc(C(=O)Nc2ccc(C(=O)N(C)C)cc2Cl)o1; [None]; [None]; [0]
-CCNC(=O)c1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cc(S(C)(=O)=O)ccc2Cl)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2ccc(C)o2)c(OC)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cc(C(=O)NCCO)ccc2C)o1; [None]; [None]; [0]
-Cc1ccc(C(=O)N[C@H](C)CS(C)(=O)=O)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(NC(=O)c2ccc(C)o2)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc(C(N)=O)o2)cc1; []; []; []
-CC(=O)N(C)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2ccc(C(N)=O)o2)cc1; ['CCOc1ccc(N)cc1']; ['NC(=O)c1ccco1']; [0.907615483]
-NC(=O)c1ccc(-c2ncc3ccccc3n2)o1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccc(C(N)=O)o3)CC2)c1; [None]; [None]; [0]
-COc1ncccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)o2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC']; ['NC(=O)c1ccco1']; [0.959359]
-Cc1n[nH]cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-Cn1nncc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3cccnn23)o1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(N)=O)o2)cn1; [None]; [None]; [0]
-COc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(O)c2)o1; ['NC(=O)c1ccco1']; ['Nc1cccc(O)c1']; [0.983661234]
-NC(=O)c1ccc(-c2ccc(N3CCOCC3)cc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc3ccccc3[nH]2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(NC(=O)C3CC3)c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccccc2)o1; []; []; []
-CS(=O)(=O)Nc1ccc(-c2ccc(C(N)=O)o2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(C(=O)[O-])cc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; ['NC(=O)c1ccc(N)cc1']; ['NC(=O)c1ccco1']; [0.947984219]
-NC(=O)c1ccc(Nc2ncccn2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2nccc3ccccc23)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)cc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(F)c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(Cl)cc2)o1; []; []; []
-NC(=O)c1ccc(CCCO)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(OCCO)cc2)o1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(C(=O)N3CCOCC3)cn2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(C3CCNCC3)c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(C(=O)N3CCOCC3)cc2)o1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(N)=O)o2)nn1C; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(C(N)=O)o2)cc1; ['CN(C)c1ccc([N+]#N)cc1']; ['NC(=O)c1ccco1']; [0.877796054]
-NC(=O)c1ccc(-c2ccc(C(F)(F)F)cc2)o1; ['NC(=O)c1ccco1']; ['Nc1ccc(C(F)(F)F)cc1']; [0.978861928]
-CNS(=O)(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(C2CCCCC2)o1; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc(C(N)=O)o2)s1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc(Cl)nc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc([C@H]2CCN(C(=O)c3ccccc3)C2)o1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ccc(C(N)=O)o2)CC1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cncnc2)o1; ['Brc1cncnc1']; ['NC(=O)c1ccco1']; [0.98244]
-Cc1c(C(=O)[O-])cccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(Br)cc2)o1; []; []; []
-COc1ccc(Cl)cc1-c1ccc(C(N)=O)o1; ['COc1ccc(Cl)cc1N']; ['NC(=O)c1ccco1']; [0.870756507]
-CCNS(=O)(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(C(N)=O)o2)cc1Cl; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cn[nH]c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc[nH]2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c[nH]c3ccccc23)o1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc(C(N)=O)o2)cc1Cl; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(c2)CCO3)o1; ['Brc1ccc2c(c1)CCO2', 'NC(=O)c1ccco1']; ['NC(=O)c1ccco1', 'Nc1ccc2c(c1)CCO2']; [0.997424841, 0.997424841]
-NC(=O)c1ccc(-c2cc(N3CCOCC3)ccn2)o1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(N)=O)o2)sn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(-c3ccccc3)[nH]n2)o1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3ccccc3cn2)o1; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)o2)ccc1O; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc3c2OCO3)o1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc(C(N)=O)o3)CC2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(F)c(F)c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc([C@@H]2CC[C@@H]([NH3+])CC2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2scc3c2OCCO3)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccnc2Oc2ccccc2)o1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc(C(N)=O)o2)cc1; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Cl)cc1']; ['NC(=O)c1ccco1', 'NC(=O)c1ccco1', 'NC(=O)c1ccco1']; [0.99485445, 0.99485445, 0.99485445]
-NC(=O)c1ccc(-c2cnc3ccccc3c2)o1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc(C(N)=O)o2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc(C(N)=O)o2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-COCCc1ccc(C(N)=O)o1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc(C(N)=O)o3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(N)=O)o2)nc(N)n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccco2)o1; [None]; [None]; [0]
-NC(=O)c1ccc([C@@H]2CC[C@@H](O)CC2)o1; [None]; [None]; [0]
-CSc1cccc(-c2ccc(C(N)=O)o2)c1; ['CSc1cccc(N)c1']; ['NC(=O)c1ccco1']; [0.986221075]
-CC[C@@H](CO)c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(F)cc2Cl)o1; [None]; [None]; [0]
-NC(=O)c1ccc(C2CCOCC2)o1; [None]; [None]; [0]
-NC(=O)c1ccc([C@H]2CC[C@@H](O)C2)o1; [None]; [None]; [0]
-COc1ccc(-c2ccc(C(N)=O)o2)cc1OC; ['COc1ccc(N)cc1OC']; ['NC(=O)c1ccco1']; [0.955325723]
-NC(=O)c1ccc(-c2ncc(Br)cn2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccsc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(Cl)cc2Cl)o1; []; []; []
-CCc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3ccccn3n2)o1; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)o2)ccc1N1CCOCC1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ncc3cccn3n2)o1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2ccc(C(N)=O)o2)c1; ['Cc1cc(C)cc(Br)c1']; ['NC(=O)c1ccco1']; [0.996088624]
-CC1(C)Cc2cc(-c3ccc(C(N)=O)o3)ccc2O1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(N)=O)o2)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccc(C(N)=O)o3)c2c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc3ccc(O)cc23)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(N3CCCCC3)cc2)o1; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)o2)ccc1Cl; ['COc1cc(N)ccc1Cl']; ['NC(=O)c1ccco1']; [0.976146221]
-NC(=O)c1ccc(-c2ncc(Cl)cn2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(-n3nccn3)c2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(N)=O)o2)o1; [None]; [None]; [0]
-COc1cc(F)c(-c2ccc(C(N)=O)o2)cc1OC; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc(C(N)=O)o2)CC1; [None]; [None]; [0]
-Cc1csc2c(-c3ccc(C(N)=O)o3)ncnc12; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc(C(N)=O)o2)CC1; [None]; [None]; [0]
-COc1cc(-c2ccc(C(N)=O)o2)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc(C(N)=O)o2)c1; ['COc1cc(N)cc(OC)c1']; ['NC(=O)c1ccco1']; [0.97056365]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc(C(N)=O)o2)CC1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(F)cc3c2OCOC3)o1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3cn[nH]c3c2)o1; ['NC(=O)c1ccco1']; ['Nc1ccc2cn[nH]c2c1']; [0.910754859]
-COc1ccc2oc(-c3ccc(C(N)=O)o3)cc2c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3ccccc3o2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(-c3cccnc3)ccn2)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ncc3sccc3n2)o1; [None]; [None]; [0]
-Cc1nc(-c2ccc(C(N)=O)o2)c2sccc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ncc3cc(Cl)ccc3n2)o1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(OC(F)(F)F)cc2)o1; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc(C(N)=O)o3)[nH]c2c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(NC(=O)N3CCCC3)c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(C(=O)[O-])c(Cl)c2)o1; [None]; [None]; [0]
-Cn1cc(-c2ccc(C(N)=O)o2)c2ccccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cscn2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(N)=O)o2)nc1C; [None]; [None]; [0]
-CCc1cccc(-c2ccc(C(N)=O)o2)n1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccc(C(N)=O)o2)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc(C(N)=O)o3)ccc12; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(N)=O)o2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(C(N)=O)o2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(C2CCC(F)(F)CC2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(C2CCS(=O)(=O)CC2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(N3CCCC3=O)c2)o1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc(C(N)=O)o2)c(Cl)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(CCO)cc2)o1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(C(N)=O)o2)c(OC)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1ccc(C(N)=O)o1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(O)cc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc3ncccc23)o1; ['NC(=O)c1ccco1']; ['Nc1cccc2ncccc12']; [0.807267666]
-CNC(=O)c1ccc(C)c(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(Cl)c(O)c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccncc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c(F)cccc2F)o1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2n[nH]c3ccccc23)o1; [None]; [None]; [0]
-Cc1ccccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c(Cl)cccc2Cl)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(C(N)=O)o2)c(F)c1; [None]; [None]; [0]
-Cn1c(-c2ccc(C(N)=O)o2)nc2ccccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(O)cc2Cl)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccnc(N)n2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(Oc2ccc(F)cc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc([C@@H]2C[C@H](O)C2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cn[nH]c2Cl)o1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(C(N)=O)o2)[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc[nH]c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccccc2Cl)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnccn2)o1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc(C(N)=O)o2)o1; [None]; [None]; [0]
-N#Cc1cnc(-c2ccc(C(N)=O)o2)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2ccc(C(N)=O)o2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccoc2)o1; ['Brc1ccoc1']; ['NC(=O)c1ccco1']; [0.98794055]
-COc1cc(CCc2ccc(C(N)=O)o2)ccc1O; [None]; [None]; [0]
-NC(=O)c1ccc(COc2cccc(Cl)c2)o1; []; []; []
-NC(=O)c1ccc(-c2cccc(Br)c2)o1; ['NC(=O)c1ccco1']; ['Nc1cccc(Br)c1']; [0.998333037]
-NC(=O)c1ccc(-c2cccs2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-n2ccc(CC(=O)[O-])c2)o1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(O)cc2O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccncn2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(F)c(Cl)c2)o1; ['Fc1ccc(Br)cc1Cl']; ['NC(=O)c1ccco1']; [0.996691]
-NC(=O)c1ccc([C@H](CO)c2ccccc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(COc2ccccc2Cl)o1; []; []; []
-Cc1ccc2[nH]ncc2c1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(CCc2ccc(Cl)cc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c(Cl)ccc3c2OCO3)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(N)=O)o2)cc1C; ['Cc1ccc(Br)cc1C', 'Cc1ccc(N)cc1C']; ['NC(=O)c1ccco1', 'NC(=O)c1ccco1']; [0.994353294, 0.994353294]
-NC(=O)c1ccc(-c2cc(O)ccc2Cl)o1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccc(C(N)=O)o2)c[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc(O)c(Cl)c2)o1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-COCCCc1ccc(C(N)=O)o1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc(C(N)=O)o3)ccc12; [None]; [None]; [0]
-NC(=O)c1ccc(Cn2ccccc2=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nnco2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(C(N)=O)o2)o1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(C(N)=O)o3)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3[nH]ccc3c2)o1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cncc(O)c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(c2)CC(=O)N3)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc3ccccc3s2)o1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(C(N)=O)o2)n1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc([C@@H]2CC[C@H](C(N)=O)CC2)o1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ncc(F)cn2)o1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(Br)o2)o1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-n2ccnc2)o1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccc(C(N)=O)o1; [None]; [None]; [0]
-CCc1sccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nccs2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(Cl)c(O)c(Cl)c2)o1; ['NC(=O)c1ccco1']; ['Nc1cc(Cl)c(O)c(Cl)c1']; [0.847321808]
-NC(=O)c1ccc(-c2cc(N)n[nH]2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(N)[nH]n2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(c2)CCN3)o1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3[nH]c(=O)[nH]c3c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nncs2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(Br)cc2F)o1; []; []; []
-NC(=O)c1ccc(Nc2ccncc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc([O-])c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2[nH]nc3ccc(F)cc23)o1; [None]; [None]; [0]
-Cc1csc(-c2ccc(C(N)=O)o2)n1; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc(C(N)=O)o2)c1C; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc(C(=O)NC3CC3)cc2)o1; ['NC(=O)c1ccco1']; ['O=C(NC1CC1)c1ccc(Br)cc1']; [0.998993933]
-NC(=O)c1ccc(-c2cc(O)cc(Br)c2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(N)=O)o2)c(C)n1; [None]; [None]; [0]
-Cc1cc(-c2ccc(C(N)=O)o2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(C(N)=O)o3)cc2o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnco2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(=O)[nH][nH]c3c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(CCc2c[nH]c3ccccc23)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2[nH]cnc2-c2ccc(F)cc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(F)c(O)c(F)c2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(OCc2cccc3ccccc23)o1; [None]; [None]; [0]
-NC(=O)c1ccc(Oc2ccccc2F)o1; [None]; [None]; [0]
-NC(=O)c1ccc(OCc2ccccc2)o1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
-NC(=O)c1ccc(OCc2ccc(F)cc2F)o1; [None]; [None]; [0]
-NC(=O)c1ccc(Oc2ccc(F)cc2F)o1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2ccc(F)cc2)o1; [None]; [None]; [0]
-NC(=O)c1ccc(NCc2c(F)cccc2Cl)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)o1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C#N)cc2)c1; ['Cc1ccnc(CBr)c1']; ['N#Cc1ccc(O)cc1']; [0.992115557]
-CCOc1ccc(OCc2cc(C)ccn2)cc1; ['CCOc1ccc(O)cc1']; ['Cc1ccnc(CBr)c1']; [0.84440124]
-Cc1ccnc(COc2ncc3ccccc3n2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(CCc2ccc(F)cc2F)o1; [None]; [None]; [0]
-Cc1ccnc(COc2c[nH]nc2C)c1; [None]; [None]; [0]
-COc1ncccc1OCc1cc(C)ccn1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
-COc1cc(OCc2cc(C)ccn2)cc(OC)c1OC; ['COc1cc(O)cc(OC)c1OC']; ['Cc1ccnc(CBr)c1']; [0.952279449]
-COc1cccc(N2CCC(OCc3cc(C)ccn3)CC2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cnnn2C)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cn(C)nc2C)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc(S(C)(=O)=O)c2)c1; [None]; [None]; [0]
-COc1ccc(OCc2cc(C)ccn2)cc1; ['COc1ccc(O)cc1']; ['Cc1ccnc(CBr)c1']; [0.96642226]
-Cc1ccnc(COc2cnc3cccnn23)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cnn(C)c2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccccc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc(O)c2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C(N)=O)cc2)c1; ['Cc1ccnc(CBr)c1']; ['NC(=O)c1ccc(O)cc1']; [0.979844213]
-Cc1ccnc(COc2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc(NC(=O)C3CC3)c2)c1; [None]; [None]; [0]
-Cc1ccnc(COCc2nccc3ccccc23)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(NS(C)(=O)=O)nc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C(=O)Nc3ccccc3)cc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(Cl)cc2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1ccc(Cl)cc1']; [0.994603574]
-Cc1ccnc(CONc2ncccn2)c1; [None]; [None]; [0]
-Cc1ccnc(COCCCO)c1; ['Cc1ccnc(CBr)c1']; ['OCCCO']; [0.82818526]
-CC(=O)NCc1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc(F)c2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1cccc(F)c1']; [0.998790443]
-Cc1ccnc(COc2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(OCCO)cc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cc(C)n(C)n2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C(=O)N3CCOCC3)cc2)c1; ['Cc1ccnc(CBr)c1']; ['O=C(c1ccc(O)cc1)N1CCOCC1']; [0.999762237]
-CNS(=O)(=O)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(OC[C@H](C)O)cc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(OC[C@@H](C)O)cc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C(F)(F)F)cc2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1ccc(C(F)(F)F)cc1']; [0.998865128]
-Cc1ccnc(COc2ccc(N(C)C)cc2)c1; ['CN(C)c1ccc(O)cc1']; ['Cc1ccnc(CBr)c1']; [0.992854178]
-Cc1ccnc(COc2sc(C)nc2C)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(S(=O)(=O)N(C)C)cc2)c1; [None]; [None]; [0]
-Cc1ccnc(COC2CCCCC2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cnc(Cl)nc2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1cnc(Cl)nc1']; [0.919421196]
-Cc1ccnc(COC2CCN(S(C)(=O)=O)CC2)c1; [None]; [None]; [0]
-Cc1ccnc(CO[C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cncnc2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1cncnc1']; [0.926387489]
-Cc1ccnc(COc2ccc(Br)cc2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1ccc(Br)cc1']; [0.978484333]
-CCNS(=O)(=O)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc(C(=O)[O-])c2C)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cn[nH]c2)c1; [None]; [None]; [0]
-COc1ccc(Cl)cc1OCc1cc(C)ccn1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(N(C)C)c(Cl)c2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc[nH]2)c1; [None]; [None]; [0]
-COc1cc(OC)c(OCc2cc(C)ccn2)cc1Cl; [None]; [None]; [0]
-Cc1ccnc(COc2cc(N3CCOCC3)ccn2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc3c(c2)CCO3)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cc(C)ns2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(OCc2cc(C)ccn2)c1; ['CC(=O)Nc1cccc(O)c1']; ['Cc1ccnc(CBr)c1']; [0.998589933]
-Cc1ccnc(COc2cc3ccccc3cn2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1cc2ccccc2cn1']; [0.99363929]
-COc1cc(OCc2cc(C)ccn2)ccc1O; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(OCc3cc(C)ccn3)CC2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc3c2OCO3)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(F)c(F)c2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1ccc(F)c(F)c1']; [0.998962879]
-Cc1ccnc(CO[C@@H]2CC[C@@H]([NH3+])CC2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cnc3ccccc3c2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1cnc2ccccc2c1']; [0.777668834]
-Cc1ccnc(COc2ccc(C(C)(C)C)cc2)c1; ['CC(C)(C)c1ccc(O)cc1']; ['Cc1ccnc(CBr)c1']; [0.99201715]
-Cc1ccnc(COc2scc3c2OCCO3)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccnc2Oc2ccccc2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](OCc2cc(C)ccn2)CC1; ['CC(=O)N[C@H]1CC[C@H](O)CC1']; ['Cc1ccnc(CBr)c1']; [0.999224186]
-Cc1ccnc(COc2ccc(C(C)(C)C)nc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C(=O)N(C)C)cc2)c1; [None]; [None]; [0]
-COCCOCc1cc(C)ccn1; ['COCCO']; ['Cc1ccnc(CBr)c1']; [0.995251298]
-COc1cc(N2CCOCC2)ccc1OCc1cc(C)ccn1; [None]; [None]; [0]
-COc1cccc(C(=O)NOCc2cc(C)ccn2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccco2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cc(C)nc(N)n2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(OCc3cc(C)ccn3)cc2)CC1; [None]; [None]; [0]
-CSc1cccc(OCc2cc(C)ccn2)c1; ['CSc1cccc(O)c1']; ['Cc1ccnc(CBr)c1']; [0.928019762]
-Cc1ccnc(CO[C@@H]2CC[C@@H](O)CC2)c1; ['Cc1ccnc(CBr)c1']; ['O[C@H]1CC[C@H](O)CC1']; [0.985954106]
-Cc1ccnc(COC2CCOCC2)c1; ['Cc1ccnc(CBr)c1']; ['OC1CCOCC1']; [0.999136269]
-CC[C@@H](CO)OCc1cc(C)ccn1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(F)cc2Cl)c1; ['Cc1ccnc(CBr)c1']; ['Oc1ccc(F)cc1Cl']; [0.998894155]
-COc1ccc(OCc2cc(C)ccn2)cc1OC; [None]; [None]; [0]
-Cc1ccnc(CO[C@H]2CC[C@@H](O)C2)c1; [None]; [None]; [0]
-CCc1ccc(OCc2cc(C)ccn2)cc1; ['CCc1ccc(O)cc1']; ['Cc1ccnc(CBr)c1']; [0.985572159]
-Cc1ccnc(COc2ncc(Br)cn2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1ncc(Br)cn1']; [0.983935714]
-Cc1ccnc(COc2ccc(Cl)cc2Cl)c1; ['Cc1ccnc(CBr)c1']; ['Oc1ccc(Cl)cc1Cl']; [0.985378504]
-Cc1ccnc(COc2ncc3cccn3n2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccsc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cn(C)nc2C(F)(F)F)c1; [None]; [None]; [0]
-COc1cc(OCc2cc(C)ccn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1ccnc(COc2cc3ccccn3n2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(N3CCCCC3)cc2)c1; [None]; [None]; [0]
-Cc1cc(C)cc(OCc2cc(C)ccn2)c1; ['Cc1cc(C)cc(O)c1']; ['Cc1ccnc(CBr)c1']; [0.897841036]
-Cc1ccnc(COc2ccc3c(c2)CC(C)(C)O3)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
-COc1ccc2cccc(OCc3cc(C)ccn3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(OCc2cc(C)ccn2)cc1OC; [None]; [None]; [0]
-Cc1ccnc(COc2ncc(Cl)cn2)c1; [None]; [None]; [0]
-COc1cc(OCc2cc(C)ccn2)ccc1Cl; [None]; [None]; [0]
-Cc1ccnc(COc2ncnc3c(C)csc23)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C)o2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc(-n3nccn3)c2)c1; [None]; [None]; [0]
-COc1cc(OCc2cc(C)ccn2)c(OC)cc1Br; [None]; [None]; [0]
-CCNC(=O)N1CCC(OCc2cc(C)ccn2)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](OCc2cc(C)ccn2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(OCc2cc(C)ccn2)c1; ['COc1cc(O)cc(OC)c1']; ['Cc1ccnc(CBr)c1']; [0.940693498]
-Cc1ccnc(COc2cc(F)cc3c2OCOC3)c1; [None]; [None]; [0]
-Cc1ccnc(CO[C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)c1; [None]; [None]; [0]
-COc1ccc2oc(OCc3cc(C)ccn3)cc2c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C[NH+](C)C)cc2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(OCc2cc(C)ccn2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cc3ccccc3o2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1cc2ccccc2o1']; [0.951296329]
-Cc1ccnc(COc2ccc3cn[nH]c3c2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2nc(C)nc3ccsc23)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cn(C)nc2C(C)C)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ncc3sccc3n2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
-Cc1ccnc(COc2ncc3cc(Cl)ccc3n2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C(=O)N3CCC[C@@H]3C)cc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(OC(F)(F)F)cc2)c1; ['Cc1ccnc(CBr)c1']; ['Oc1ccc(OC(F)(F)F)cc1']; [0.996066391]
-COc1ccc2nc(OCc3cc(C)ccn3)[nH]c2c1; [None]; [None]; [0]
-Cc1ccnc(COc2cscn2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cn(C)c3ccccc23)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc(N3CCC[C@@H]3C)n2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C(=O)[O-])c(Cl)c2)c1; [None]; [None]; [0]
-CCc1cccc(OCc2cc(C)ccn2)n1; [None]; [None]; [0]
-Cc1ccnc(COc2cc(C)c(OCCO)c(C)c2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C)c(C)n2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(N(C)C)nc2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc3c(C)n[nH]c3c2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cccc(N3CCCC3=O)c2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(CCO)cc2)c1; ['Cc1ccnc(CBr)c1']; ['OCCc1ccc(O)cc1']; [0.980224252]
-Cc1ccnc(COC2CCC(F)(F)CC2)c1; [None]; [None]; [0]
-Cc1ccnc(COC2CCS(=O)(=O)CC2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(N3CCOCC3)cc2C)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1OCc1cc(C)ccn1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc(C(=O)N(C)C)cc2Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1OCc1cc(C)ccn1; [None]; [None]; [0]
-CCNC(=O)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OCc2cc(C)ccn2)c(OC)c1; [None]; [None]; [0]
-Cc1ccnc(CO[C@H](C)CS(C)(=O)=O)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(OCc2cc(C)ccn2)c1; [None]; [None]; [0]
-Cc1ccnc(COc2cc(S(C)(=O)=O)ccc2Cl)c1; [None]; [None]; [0]
-c1ccc(-c2ccc3ncccc3n2)cc1; ['[Li]c1ccccc1']; ['c1cnc2cccnc2c1']; [0.997627318]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc2ncccc2n1; [None]; [None]; [0]
-Cc1ccnc(COc2cc(C(=O)NCCO)ccc2C)c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc2ncccc2n1; [None]; [None]; [0]
-Cc1cccc(-c2ccc3ncccc3n2)c1; ['Cc1cccc(Br)c1']; ['c1cnc2cccnc2c1']; [0.999049366]
-c1cnc2ccc(C3CCOCC3)nc2c1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc3ncccc3n2)[nH]1; [None]; [None]; [0]
-c1cnc2ccc(C3CCCCC3)nc2c1; ['O=C(O)C1CCCCC1']; ['c1cnc2cccnc2c1']; [0.985208035]
-CC(C)(C)c1nc(-c2ccc3ncccc3n2)cs1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-COc1cnc(-c2ccc3ncccc3n2)nc1; [None]; [None]; [0]
-c1cnc2ccc(CC3CCCCC3)nc2c1; ['BrCC1CCCCC1']; ['c1cnc2cccnc2c1']; [0.992675841]
-O=C([O-])c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2ncccc2n1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc3ncccc3n2)s1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ccc3ncccc3n2)CO1; [None]; [None]; [0]
-CCC(C)(C)c1ccc2ncccc2n1; [None]; [None]; [0]
-c1cnc2ccc(NCCc3c[nH]cn3)nc2c1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc2ncccc2n1; [None]; [None]; [0]
-CCCCc1ccc2ncccc2n1; ['CCCCBr']; ['c1cnc2cccnc2c1']; [0.906773508]
-c1cc(Cn2cncn2)cc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc2ncccc2n1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccc4ncccc4n3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc4ncccc4n3)cc2)cn1; [None]; [None]; [0]
-c1ccc(CCNc2ccc3ncccc3n2)cc1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc2ncccc2n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4ncccc4n3)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
-[NH3+]CCCc1ccc2ncccc2n1; [None]; [None]; [0]
-CSc1nc(-c2ccc3ncccc3n2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc3ncccc3n2)C1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc2ncccc2n1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4ncccc4n3)cc2s1; [None]; [None]; [0]
-c1cnc2ccc(-c3csc4ncncc34)nc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ncccc3n2)c2ccccc21; ['Cn1ccc2ccccc21']; ['c1cnc2cccnc2c1']; [0.996403337]
-C[C@H](c1ccc2ncccc2n1)C(F)(F)F; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc3ncccc3n2)CC1; [None]; [None]; [0]
-c1cnc2ccc(-c3cnn4ccccc34)nc2c1; [None]; [None]; [0]
-O=c1cc(-c2ccc3ncccc3n2)ccn1[C@@H2]CO; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2ncccc2n1; [None]; [None]; [0]
-O=c1cc(-c2ccc3ncccc3n2)cc[nH]1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccc3ncccc3n2)ccc1Cl; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc3ncccc3n2)C1; [None]; [None]; [0]
-CC1(c2ccc3ncccc3n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-COc1cc(CCc2ccc3ncccc3n2)cc(OC)c1; [None]; [None]; [0]
-c1cnc2ccc(-c3cnc4[nH]ccc4c3)nc2c1; [None]; [None]; [0]
-c1cnc2ccc(-c3ccc(N4CCOCC4)cc3)nc2c1; [None]; [None]; [0]
-Cc1cc(-c2ccc3ncccc3n2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-OCCc1cn(-c2ccc3ncccc3n2)cn1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc3ncccc3n2)CC1; [None]; [None]; [0]
-C[C@H](Nc1ccc2ncccc2n1)C(C)(C)C; [None]; [None]; [0]
-OCc1ccn(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2ncccc2n1)C(C)(C)O; [None]; [None]; [0]
-c1cnc2ccc(-c3nc[nH]n3)nc2c1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2ncccc2n1; [None]; [None]; [0]
-C[C@H](Nc1ccc2ncccc2n1)C(C)(C)O; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3ncccc3n2)[nH]1; [None]; [None]; [0]
-c1cnc2ccc(-c3ccc(-n4cncn4)cc3)nc2c1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc2ncccc2n1; [None]; [None]; [0]
-c1cnc2ccc(-c3nncn3C3CC3)nc2c1; [None]; [None]; [0]
-O=C(CCc1ccc2ncccc2n1)NCc1ccccn1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc2ncccc2n1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2ncccc2n1)C(C)(C)C; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4ncccc4n3)nn2)cc1; [None]; [None]; [0]
-CCc1cc(-c2ccc3ncccc3n2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ccc3ncccc3n2)nc(N)n1; [None]; [None]; [0]
-c1cnc2ccc(-c3csc(N4CCOCC4)n3)nc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3ncccc3n2)s1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc3ncccc3n2)[nH]1; [None]; [None]; [0]
-c1cnc2ccc(CC3CCOCC3)nc2c1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccc2ncccc2n1; [None]; [None]; [0]
-c1cnc2ccc(-c3cnccc3N3CCOCC3)nc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3ncccc3n2)c(=O)n1C; [None]; [None]; [0]
-c1ccc2nc(-c3ccc4ncccc4n3)ncc2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc2ncccc2n1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ccc3ncccc3n2)CC1; [None]; [None]; [0]
-Oc1ccnc(Nc2ccccc2)c1; ['Brc1ccccc1']; ['Nc1cc(O)ccn1']; [0.958217204]
-Cc1cc(F)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
-c1cnc2ccc(-c3ncc4cc[nH]c4n3)nc2c1; [None]; [None]; [0]
-Oc1ccnc(Nc2cn[nH]c2Cl)c1; ['Nc1cn[nH]c1Cl']; ['Oc1ccnc(Br)c1']; [0.926019311]
-NC(=O)c1ccc(Nc2cc(O)ccn2)c(F)c1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc3ncccc3n2)cnn1; [None]; [None]; [0]
-Cc1ccccc1Nc1cc(O)ccn1; ['Cc1ccccc1Cl', 'Cc1ccccc1N']; ['Nc1cc(O)ccn1', 'Oc1ccnc(Br)c1']; [0.97750026, 0.97750026]
-Cc1ccc2[nH]ncc2c1Nc1cc(O)ccn1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2cc(O)ccn2)cc1; ['Nc1ccc(C(=O)[O-])cc1']; ['Oc1ccnc(Cl)c1']; [0.966262043]
-Oc1ccnc(Nc2c(Cl)ccc3c2OCO3)c1; [None]; [None]; [0]
-NC(=O)c1cc(Nc2cc(O)ccn2)c[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(Nc3cc(O)ccn3)ccc12; [None]; [None]; [0]
-Oc1ccnc(Nc2nnco2)c1; [None]; [None]; [0]
-Cc1nnc(Nc2cc(O)ccn2)o1; ['Cc1nnc(N)o1', 'Cc1nnc(N)o1']; ['Oc1ccnc(Cl)c1', 'Oc1ccnc(Br)c1']; [0.968875885, 0.968875885]
-Oc1ccnc(Nc2cnc3[nH]ccc3c2)c1; ['Nc1cnc2[nH]ccc2c1']; ['Oc1ccnc(Br)c1']; [0.999285758]
-Oc1ccnc(NC2CCOCC2)c1; ['NC1CCOCC1', 'NC1CCOCC1']; ['Oc1ccnc(Br)c1', 'Oc1ccnc(Cl)c1']; [0.999689221, 0.999689221]
-Oc1ccnc(Nc2ncc(F)cn2)c1; ['Fc1cnc(Cl)nc1', 'Nc1ncc(F)cn1']; ['Nc1cc(O)ccn1', 'Oc1ccnc(Cl)c1']; [0.999793708, 0.999793708]
-CCc1cc(O)c(F)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
-Nc1cc(Nc2cc(O)ccn2)n[nH]1; [None]; [None]; [0]
-CNc1nccc(Nc2cc(O)ccn2)n1; [None]; [None]; [0]
-Oc1ccnc(Nc2[nH]nc3ccc(F)cc23)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2ccc(Br)o2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2nncs2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cc(O)ccn2)ccc1C(N)=O; ['Cc1cc(F)ccc1C(N)=O']; ['Nc1cc(O)ccn1']; [0.975063086]
-Cc1n[nH]c(Nc2cc(O)ccn2)c1C; ['Cc1n[nH]c(N)c1C']; ['Oc1ccnc(Br)c1']; [0.996624947]
-[O-]c1cccc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(Nc2cc(O)ccn2)cc1; ['Nc1ccc(C(=O)NC2CC2)cc1']; ['Oc1ccnc(Cl)c1']; [0.999367416]
-Oc1ccnc(Nc2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2cc(O)ccn2)cc1; ['CC(=O)N(C)c1ccc(N)cc1']; ['Oc1ccnc(Cl)c1']; [0.999494553]
-Oc1ccnc(Nc2ccc(N3CCOCC3)cc2)c1; ['Nc1ccc(N2CCOCC2)cc1']; ['Oc1ccnc(Cl)c1']; [0.999962449]
-Cc1onc(-c2ccccc2)c1Nc1cc(O)ccn1; [None]; [None]; [0]
-COc1cccc(N2CCC(Nc3cc(O)ccn3)CC2)c1; ['COc1cccc(N2CCC(=O)CC2)c1']; ['Nc1cc(O)ccn1']; [0.99626714]
-Oc1ccnc(Nc2ncc3ccccc3n2)c1; ['Nc1ncc2ccccc2n1']; ['Oc1ccnc(Cl)c1']; [0.999716938]
-CS(=O)(=O)Nc1ccc(Nc2cc(O)ccn2)cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2cc(O)ccn2)c1)C1CC1; [None]; [None]; [0]
-O=C(c1ccc(Nc2cc(O)ccn2)cc1)N1CCOCC1; ['Nc1ccc(C(=O)N2CCOCC2)cc1']; ['Oc1ccnc(Cl)c1']; [0.999953866]
-O=C(c1ccc(Nc2cc(O)ccn2)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
-Oc1ccnc(NC2CCCCC2)c1; ['NC1CCCCC1']; ['Oc1ccnc(Br)c1']; [0.998465061]
-CS(=O)(=O)N1CCC(Nc2cc(O)ccn2)CC1; ['CS(=O)(=O)N1CCC(=O)CC1']; ['Nc1cc(O)ccn1']; [0.992931247]
-O=C(c1ccccc1)N1CC[C@H](Nc2cc(O)ccn2)C1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2cc(O)ccn2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl']; ['Oc1ccnc(Cl)c1']; [0.997971714]
-CCNS(=O)(=O)c1ccc(Nc2cc(O)ccn2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1']; ['Oc1ccnc(Cl)c1']; [0.996516943]
-Cc1c(Nc2cc(O)ccn2)cccc1C(=O)[O-]; [None]; [None]; [0]
-COc1cc(OC)c(Nc2cc(O)ccn2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N']; ['Oc1ccnc(Cl)c1']; [0.960260928]
-Oc1ccnc(Nc2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2cc(N3CCOCC3)ccn2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cc(O)ccn2)sn1; ['Cc1cc(N)sn1']; ['Oc1ccnc(Cl)c1']; [0.970007658]
-[NH3+][C@@H]1CC[C@@H](Nc2cc(O)ccn2)CC1; [None]; [None]; [0]
-Oc1ccnc(Nc2cccnc2Oc2ccccc2)c1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3cc(O)ccn3)CC2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2cc(O)ccn2)cc1; ['CN(C)C(=O)c1ccc(N)cc1']; ['Oc1ccnc(Br)c1']; [0.987525702]
-COc1cc(N2CCOCC2)ccc1Nc1cc(O)ccn1; ['COc1cc(N2CCOCC2)ccc1N']; ['Oc1ccnc(Cl)c1']; [0.99982208]
-CC(=O)N[C@@H]1CC[C@@H](Nc2cc(O)ccn2)CC1; [None]; [None]; [0]
-COCCNc1cc(O)ccn1; ['COCCN', 'COCCN']; ['Oc1ccnc(Cl)c1', 'Oc1ccnc(Br)c1']; [0.985028863, 0.985028863]
-CCN1CCN(Cc2ccc(Nc3cc(O)ccn3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1']; ['Oc1ccnc(Br)c1']; [0.987306118]
-CC(C)(C)c1ccc(Nc2cc(O)ccn2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)NNc2cc(O)ccn2)c1; ['COc1cccc(C(=O)NN)c1']; ['Oc1ccnc(Cl)c1']; [0.982953429]
-COc1cc(Nc2cc(O)ccn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Oc1ccnc(Nc2cc3ccccn3n2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2ccc(N3CCCCC3)cc2)c1; ['Nc1ccc(N2CCCCC2)cc1', 'Nc1ccc(N2CCCCC2)cc1']; ['Oc1ccnc(Cl)c1', 'Oc1ccnc(Br)c1']; [0.999921918, 0.999921918]
-Oc1ccnc(Nc2ncc(Cl)cn2)c1; ['Clc1cnc(Cl)nc1']; ['Nc1cc(O)ccn1']; [0.991463959]
-Oc1ccnc(Nc2ncc3cccn3n2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2cccc(-n3nccn3)c2)c1; [None]; [None]; [0]
-CC1(C)Cc2cc(Nc3cc(O)ccn3)ccc2O1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2cc(O)ccn2)CC1; [None]; [None]; [0]
-Cc1csc2c(Nc3cc(O)ccn3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1cc(O)ccn1']; [0.999902487]
-Oc1ccnc(Nc2cc(F)cc3c2OCOC3)c1; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2cc(O)ccn2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](Nc2cc(O)ccn2)CC1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2cc(O)ccn2)c1; ['CNC(=O)c1ccc(OC)c(N)c1']; ['Oc1ccnc(Cl)c1']; [0.990072846]
-C[NH+](C)Cc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
-COc1ccc2oc(Nc3cc(O)ccn3)cc2c1; [None]; [None]; [0]
-Cc1nc(Nc2cc(O)ccn2)c2sccc2n1; [None]; [None]; [0]
-Oc1ccnc(Nc2ncc3sccc3n2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
-Oc1ccnc(Nc2ncc3cc(Cl)ccc3n2)c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
-COc1ccc2nc(Nc3cc(O)ccn3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2cc(O)ccn2)c1)N1CCCC1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2cc(O)ccn2)cc1Cl; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(Nc2cc(O)ccn2)n1; [None]; [None]; [0]
-Cn1cc(Nc2cc(O)ccn2)c2ccccc21; [None]; [None]; [0]
-Cc1n[nH]c2cc(Nc3cc(O)ccn3)ccc12; [None]; [None]; [0]
-Cc1cc(Nc2cc(O)ccn2)cc(C)c1OCCO; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1Nc1cc(O)ccn1; ['COc1cc(N2CCC(O)CC2)ccc1N']; ['Oc1ccnc(Cl)c1']; [0.999914646]
-Oc1ccnc(NC2CCC(F)(F)CC2)c1; ['NC1CCC(F)(F)CC1', 'NC1CCC(F)(F)CC1']; ['Oc1ccnc(Cl)c1', 'Oc1ccnc(Br)c1']; [0.999437392, 0.999437392]
-CN(C)c1ccc(Nc2cc(O)ccn2)cn1; ['CN(C)c1ccc(Br)cn1']; ['Nc1cc(O)ccn1']; [0.998224914]
-O=S1(=O)CCC(Nc2cc(O)ccn2)CC1; ['NC1CCS(=O)(=O)CC1', 'Nc1cc(O)ccn1']; ['Oc1ccnc(Br)c1', 'O=C1CCS(=O)(=O)CC1']; [0.99915278, 0.99915278]
-CNC(=O)c1ccc(Nc2cc(O)ccn2)c(OC)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2cc(O)ccn2)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1Nc1cc(O)ccn1; ['Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N']; ['Oc1ccnc(Cl)c1', 'Oc1ccnc(Br)c1']; [0.999997, 0.999997]
-CCNC(=O)c1ccc(Nc2cc(O)ccn2)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['Oc1ccnc(Cl)c1']; [0.997351408]
-C[C@H](CS(C)(=O)=O)Nc1cc(O)ccn1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
-Nc1cc(-c2ccc(O)cc2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2ccncc2)c[nH]c1=O; [None]; [None]; [0]
-Cn1cc(-c2c[nH]c(=O)c(N)c2)cn1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1cc(Br)c[nH]c1=O']; [0.999984622]
-Nc1cc(-c2ccccc2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2cccc3ncccc23)c[nH]c1=O; [None]; [None]; [0]
-CCc1ccc(-c2c[nH]c(=O)c(N)c2)cc1; [None]; [None]; [0]
-Nc1cc(-c2n[nH]c3ccccc23)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2cn[nH]c2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2c(F)cccc2F)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2ccc(Cl)c(O)c2)c[nH]c1=O; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1c[nH]c(=O)c(N)c1; ['Cc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1cc(Br)c[nH]c1=O']; [0.999915957]
-Cn1c(-c2c[nH]c(=O)c(N)c2)nc2ccccc21; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c[nH]c(=O)c(N)c2)cc1; [None]; [None]; [0]
-Nc1cc(Oc2ccc(F)cc2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2c(Cl)cccc2Cl)c[nH]c1=O; [None]; [None]; [0]
-Cc1ccccc1-c1c[nH]c(=O)c(N)c1; ['Cc1ccccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1cc(Br)c[nH]c1=O']; [0.999662042]
-Nc1cc(-c2ccc(O)cc2Cl)c[nH]c1=O; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c[nH]c(=O)c(N)c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C']; ['Nc1cc(Br)c[nH]c1=O']; [0.999985099]
-NC(=O)c1ccc(-c2c[nH]c(=O)c(N)c2)c(F)c1; [None]; [None]; [0]
-Nc1nccc(-c2c[nH]c(=O)c(N)c2)n1; [None]; [None]; [0]
-Nc1cc([C@@H]2C[C@H](O)C2)c[nH]c1=O; [None]; [None]; [0]
-Cc1ncc(-c2c[nH]c(=O)c(N)c2)[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cn[nH]c2Cl)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2cc[nH]c2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2ccccc2Cl)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)[O-])cc2)c[nH]c1=O; [None]; [None]; [0]
-N#Cc1cnc(-c2c[nH]c(=O)c(N)c2)cn1; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(=O)c(N)c2)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2c[nH]c(=O)c(N)c2)o1; [None]; [None]; [0]
-Nc1cc(-c2cnccn2)c[nH]c1=O; [None]; [None]; [0]
-N#Cc1ccc(-c2c[nH]c(=O)c(N)c2)cc1; ['CC1(C)OB(c2ccc(C#N)cc2)OC1(C)C']; ['Nc1cc(Br)c[nH]c1=O']; [0.99995935]
-COc1cc(CCc2c[nH]c(=O)c(N)c2)ccc1O; [None]; [None]; [0]
-Nc1cc(-c2ccoc2)c[nH]c1=O; [None]; [None]; [0]
-N#Cc1ccc(-c2c[nH]c(=O)c(N)c2)cn1; ['CC1(C)OB(c2ccc(C#N)nc2)OC1(C)C']; ['Nc1cc(Br)c[nH]c1=O']; [0.999974966]
-Nc1cc(-c2cccc(Br)c2)c[nH]c1=O; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C']; ['Nc1cc(Br)c[nH]c1=O']; [0.999867201]
-Nc1cc(COc2cccc(Cl)c2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-n2ccc(CC(=O)[O-])c2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2cccs2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(CCCO)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2ccc(O)cc2O)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2ccncn2)c[nH]c1=O; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2c[nH]c(=O)c(N)c2)c1; [None]; [None]; [0]
-Nc1cc(COc2ccccc2Cl)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc([C@H](CO)c2ccccc2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)c(Cl)c2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(CCc2ccc(Cl)cc2)c[nH]c1=O; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-Nc1cc(-c2c(Cl)ccc3c2OCO3)c[nH]c1=O; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c(=O)c(N)c2)cc1C; [None]; [None]; [0]
-NC(=O)c1cc(-c2c[nH]c(=O)c(N)c2)c[nH]1; [None]; [None]; [0]
-Nc1cc(-c2cc(O)ccc2Cl)c[nH]c1=O; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-Nc1cc(-c2cnc(O)c(Cl)c2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(Cn2ccccc2=O)c[nH]c1=O; [None]; [None]; [0]
-COCCCc1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3c[nH]c(=O)c(N)c3)cc2[nH]1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c(=O)c(N)c2)cc1OC; [None]; [None]; [0]
-COc1cc(OC)cc(-c2c[nH]c(=O)c(N)c2)c1; [None]; [None]; [0]
-Nc1cc(-c2nnco2)c[nH]c1=O; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2c[nH]c(=O)c(N)c2)cc1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3c[nH]c(=O)c(N)c3)ccc12; [None]; [None]; [0]
-Nc1cc(-c2cnc3[nH]ccc3c2)c[nH]c1=O; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Nc1cc(Br)c[nH]c1=O']; [0.999996781]
-Cc1nnc(-c2c[nH]c(=O)c(N)c2)o1; [None]; [None]; [0]
-Nc1cc(-c2nc3ccccc3s2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(C2CCOCC2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CC(=O)N3)c[nH]c1=O; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; ['Nc1cc(Br)c[nH]c1=O']; [0.999992847]
-CS(=O)(=O)c1ccc(-c2c[nH]c(=O)c(N)c2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cncc(O)c2)c[nH]c1=O; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2c[nH]c(=O)c(N)c2)CC1; [None]; [None]; [0]
-CNc1nccc(-c2c[nH]c(=O)c(N)c2)n1; [None]; [None]; [0]
-Nc1cc(-c2ncc(F)cn2)c[nH]c1=O; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Br)o2)c[nH]c1=O; [None]; [None]; [0]
-Cc1cccc(C)c1-c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-CCc1sccc1-c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-Nc1cc(-n2ccnc2)c[nH]c1=O; ['Nc1cc(Br)c[nH]c1=O']; ['c1c[nH]cn1']; [0.938479662]
-Nc1cc(-c2ccc3c(c2)CCN3)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2cc(Cl)c(O)c(Cl)c2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2nccs2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c(=O)c(N)c2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c(=O)c(N)c2)n[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-Nc1cc(Nc2ccncc2)c[nH]c1=O; ['Nc1cc(Br)c[nH]c1=O']; ['Nc1ccncc1']; [0.976520836]
-Nc1cc(-c2ccc(Br)cc2F)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2nncs2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2[nH]nc3ccc(F)cc23)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2cccc([O-])c2)c[nH]c1=O; [None]; [None]; [0]
-Cc1csc(-c2c[nH]c(=O)c(N)c2)n1; [None]; [None]; [0]
-Cc1n[nH]c(-c2c[nH]c(=O)c(N)c2)c1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c[nH]c(=O)c(N)c2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cc(O)cc(Br)c2)c[nH]c1=O; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c(=O)c(N)c2)nc1C; [None]; [None]; [0]
-Cc1ccc(-c2c[nH]c(=O)c(N)c2)c(C)n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)NC3CC3)cc2)c[nH]c1=O; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C']; ['Nc1cc(Br)c[nH]c1=O']; [0.999998927]
-Cc1cc(-c2c[nH]c(=O)c(N)c2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3c[nH]c(=O)c(N)c3)cc2o1; [None]; [None]; [0]
-Nc1cc(-c2cnco2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(=O)[nH][nH]c3c2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2[nH]cnc2-c2ccc(F)cc2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(OCc2ccccc2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2cc(F)c(O)c(F)c2)c[nH]c1=O; [None]; [None]; [0]
-CSc1cccc(-c2c[nH]c(=O)c(N)c2)c1; [None]; [None]; [0]
-Nc1cc(Oc2ccc(F)cc2F)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(CCc2c[nH]c3ccccc23)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(Oc2ccccc2F)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(OCc2cccc3ccccc23)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)cc2Cl)c[nH]c1=O; ['Nc1cc(Br)c[nH]c1=O']; ['OB(O)c1ccc(F)cc1Cl']; [0.999686122]
-Nc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc(Cc2ccc(F)cc2)c[nH]c1=O; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1c[nH]c(=O)c(N)c1; [None]; [None]; [0]
-Nc1cc(CCc2ccc(F)cc2F)c[nH]c1=O; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Nc1cc(OCc2ccc(F)cc2F)c[nH]c1=O; [None]; [None]; [0]
-Nc1cc2c(-c3ncc4ccccc4n3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(N4CCOCC4)cc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(NC(=O)C4CC4)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc(NCc2c(F)cccc2Cl)c[nH]c1=O; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cccc3cnc(N)cc23)cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(C(=O)[O-])cc3)cccc2cn1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3cccc4cnc(N)cc34)CC2)c1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(C(=O)N4CCOCC4)cc3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(C(=O)N4CCOCC4)cn3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccccc3)cccc2cn1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Nc1cc2c(C3CCCCC3)cccc2cn1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-Nc1cc2c([C@H]3CCN(C(=O)c4ccccc4)C3)cccc2cn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc3cnc(N)cc23)cc1Cl; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cccc3cnc(N)cc23)cc1Cl; [None]; [None]; [0]
-Nc1cc2c(-c3cc(N4CCOCC4)ccn3)cccc2cn1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3cc(-c4ccccc4)[nH]n3)cccc2cn1; [None]; [None]; [0]
-Cc1cc(-c2cccc3cnc(N)cc23)sn1; [None]; [None]; [0]
-Nc1cc2c([C@@H]3CC[C@@H]([NH3+])CC3)cccc2cn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3cccc4cnc(N)cc34)CC2)c1; [None]; [None]; [0]
-Nc1cc2c(-c3cccnc3Oc3ccccc3)cccc2cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cccc3cnc(N)cc23)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cccc4cnc(N)cc34)cc2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-COCCc1cccc2cnc(N)cc12; [None]; [None]; [0]
-COc1cc(-c2cccc3cnc(N)cc23)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1cc2c(C3CCOCC3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ncc4cccn4n3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(N4CCCCC4)cc3)cccc2cn1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cccc4cnc(N)cc34)ccc2O1; [None]; [None]; [0]
-Nc1cc2c(-c3cc4ccccn4n3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(-n4nccn4)c3)cccc2cn1; [None]; [None]; [0]
-Cc1csc2c(-c3cccc4cnc(N)cc34)ncnc12; [None]; [None]; [0]
-Nc1cc2c(-c3ncc(Cl)cn3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cc(F)cc4c3OCOC4)cccc2cn1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3cccc4cnc(N)cc34)cc2c1; [None]; [None]; [0]
-Cc1nc(-c2cccc3cnc(N)cc23)c2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-Nc1cc2c(-c3cc(-c4cccnc4)ccn3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ncc4cc(Cl)ccc4n3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ncc4sccc4n3)cccc2cn1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3cccc4cnc(N)cc34)[nH]c2c1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(NC(=O)N4CCCC4)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(C(=O)[O-])c(Cl)c3)cccc2cn1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cccc3cnc(N)cc23)n1; [None]; [None]; [0]
-Cn1cc(-c2cccc3cnc(N)cc23)c2ccccc21; [None]; [None]; [0]
-Cc1cc(-c2cccc3cnc(N)cc23)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cccc4cnc(N)cc34)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cccc3cnc(N)cc23)cn1; [None]; [None]; [0]
-Nc1cc2c(C3CCC(F)(F)CC3)cccc2cn1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(C3CCS(=O)(=O)CC3)cccc2cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cccc3cnc(N)cc23)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3cnc(N)cc23)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cccc2cnc(N)cc12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-COC(C)(C)CCc1cccc2cnc(N)cc12; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cccc3cnc(N)cc23)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Cc1cccc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
-Nc1cc2c(-c3ccccc3C(=O)[O-])cccc2cn1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c([C@@H]3CC[C@@H](CO)OC3)cccc2cn1; [None]; [None]; [0]
-CC(C)C(=O)COc1cccc2cnc(N)cc12; [None]; [None]; [0]
-COc1cnc(-c2cccc3cnc(N)cc23)nc1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc3cnc(N)cc23)cs1; [None]; [None]; [0]
-Nc1cc2c(CC3CCCCC3)cccc2cn1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(Cn4cncn4)c3)cccc2cn1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cccc3cnc(N)cc23)s1; [None]; [None]; [0]
-CCC(C)(C)c1cccc2cnc(N)cc12; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(NCCc3c[nH]cn3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cccc(CC(=O)[O-])c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(NCCc3ccccc3)cccc2cn1; [None]; [None]; [0]
-CCCCc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cccc4cnc(N)cc34)cc2)cn1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc4c(N)[nH]nc4c3)cccc2cn1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc3cnc(N)cc23)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cccc4cnc(N)cc34)ccc21; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(CCC[NH3+])cccc2cn1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c([C@@H]3CCC[C@H]([NH3+])C3)cccc2cn1; [None]; [None]; [0]
-CSc1nc(-c2cccc3cnc(N)cc23)c[nH]1; [None]; [None]; [0]
-Nc1cc2c(OC(F)(F)F)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3csc4ncncc34)cccc2cn1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cccc4cnc(N)cc34)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
-Nc1cc2c(-c3cnn4ccccc34)cccc2cn1; [None]; [None]; [0]
-C[C@H](c1cccc2cnc(N)cc12)C(F)(F)F; [None]; [None]; [0]
-Nc1cc2c(-c3ccn([C@@H2]CO)c(=O)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cc[nH]c(=O)c3)cccc2cn1; [None]; [None]; [0]
-COc1cc(CCc2cccc3cnc(N)cc23)cc(OC)c1; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(Cl)c(C(=O)[O-])c3)cccc2cn1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3cnc4[nH]ccc4c3)cccc2cn1; [None]; [None]; [0]
-CC1(c2cccc3cnc(N)cc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
-Cc1cc(-c2cccc3cnc(N)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-Nc1cc2c([C@@H]3CC[C@@H](NC(=O)O)C3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-n3ccc(CO)n3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-n3cnc(CCO)c3)cccc2cn1; [None]; [None]; [0]
-C[C@H](Nc1cccc2cnc(N)cc12)C(C)(C)C; [None]; [None]; [0]
-Nc1cc2c(-c3nc[nH]n3)cccc2cn1; [None]; [None]; [0]
-C[C@H](Nc1cccc2cnc(N)cc12)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cccc2cnc(N)cc12)C(C)(C)O; [None]; [None]; [0]
-Nc1cc2c(-c3ccc(-n4cncn4)cc3)cccc2cn1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cccc3cnc(N)cc23)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-CC(C)([NH3+])CNc1cccc2cnc(N)cc12; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(CCC(=O)NCc3ccccn3)cccc2cn1; [None]; [None]; [0]
-Cn1cnnc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3nncn3C3CC3)cccc2cn1; [None]; [None]; [0]
-CCc1cc(-c2cccc3cnc(N)cc23)nc(N)n1; [None]; [None]; [0]
-Nc1cc2c(-c3cn(Cc4ccccc4)nn3)cccc2cn1; [None]; [None]; [0]
-C[C@@H](Nc1cccc2cnc(N)cc12)C(C)(C)C; [None]; [None]; [0]
-Nc1cc2c(-c3csc(N4CCOCC4)n3)cccc2cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc3cnc(N)cc23)s1; [None]; [None]; [0]
-CCCCc1cc(-c2cccc3cnc(N)cc23)nc(N)n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc3cnc(N)cc23)[nH]1; [None]; [None]; [0]
-Nc1cc2c(CC3CCOCC3)cccc2cn1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(-c3ncc4cc[nH]c4n3)cccc2cn1; [None]; [None]; [0]
-Cn1cc(-c2cccc3cnc(N)cc23)c(=O)n1C; [None]; [None]; [0]
-Nc1cc2c(-c3cnccc3N3CCOCC3)cccc2cn1; [None]; [None]; [0]
-CN(C)c1cc(-c2cccc3cnc(N)cc23)cnn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccc2cnc(N)cc12; [None]; [None]; [0]
-Nc1cc2c(O[C@@H]3CC[C@H](O)CC3)cccc2cn1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cncc(O)n2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
-Cc1cccc(-c2cncc(O)n2)c1; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Oc1cncc(Cl)n1']; [0.999496]
-Oc1cncc(-c2ccccc2)n1; [None]; [None]; [0]
-Oc1cncc(C2CCOCC2)n1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(C2CCCCC2)n1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cncc(O)n2)cs1; [None]; [None]; [0]
-COc1cnc(-c2cncc(O)n2)nc1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cncc(O)n1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2cncc(O)n2)CO1; [None]; [None]; [0]
-C[C@@H](c1cncc(O)n1)[C@@H](C)O; [None]; [None]; [0]
-CNc1nc(C)c(-c2cncc(O)n2)s1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cncc(O)n3)ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cncc(O)n3)cc2)cn1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
-CCCn1cnc(-c2cncc(O)n2)n1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cncc(O)n1; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2cncc(O)n2)C1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cncc(O)n3)ccc21; [None]; [None]; [0]
-Oc1cncc(-c2csc3ncncc23)n1; [None]; [None]; [0]
-Cn1cc(-c2cncc(O)n2)c2ccccc21; [None]; [None]; [0]
-CSc1nc(-c2cncc(O)n2)c[nH]1; [None]; [None]; [0]
-O=c1cc(-c2cncc(O)n2)ccn1[C@@H2]CO; [None]; [None]; [0]
-Oc1cncc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cncc(O)n3)cc2s1; [None]; [None]; [0]
-Oc1cncc(-c2cnc3[nH]ccc3c2)n1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['Oc1cncc(Cl)n1']; [0.999995828]
-O=C([O-])c1cc(-c2cncc(O)n2)ccc1Cl; [None]; [None]; [0]
-O=c1cc(-c2cncc(O)n2)cc[nH]1; [None]; [None]; [0]
-CC1(c2cncc(O)n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Oc1cncc(-c2ccc(N3CCOCC3)cc2)n1; ['OB(O)c1ccc(N2CCOCC2)cc1']; ['Oc1cncc(Cl)n1']; [0.999972224]
-CNC(=O)c1c(F)cccc1-c1cncc(O)n1; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
-Oc1cncc(-c2nc[nH]n2)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2cncc(O)n2)C1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1cncc(O)n1; [None]; [None]; [0]
-C[C@@H](O)[C@@H](CO)c1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(CC[NH+]2CCNCC2)n1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1cncc(O)n1; [None]; [None]; [0]
-Cn1cnnc1-c1cncc(O)n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cncc(O)n2)[nH]1; [None]; [None]; [0]
-Oc1cncc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cncc(O)n1; [None]; [None]; [0]
-CCc1cc(-c2cncc(O)n2)nc(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cncc(O)n2)s1; [None]; [None]; [0]
-Oc1cncc(-c2csc(N3CCOCC3)n2)n1; [None]; [None]; [0]
-Oc1cncc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
-O=C(NCCCc1cncc(O)n1)c1cccs1; [None]; [None]; [0]
-CCCCc1cc(-c2cncc(O)n2)nc(N)n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cncc(O)n2)[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cncc(O)n2)c(=O)n1C; [None]; [None]; [0]
-[NH3+]CCCCc1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(-c2cnccc2N2CCOCC2)n1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-Oc1cncc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2cncc(O)n2)cnn1; [None]; [None]; [0]
-Oc1cncc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cncc(O)n2)c1)C1CC1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cncc(O)n3)c2c1; ['Cc1ccc2nc[nH]c2c1']; ['Oc1cncc(Cl)n1']; [0.990628123]
-COc1cccc(N2CCC(c3cncc(O)n3)CC2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cncc(O)n2)cn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cncc(O)n1; [None]; [None]; [0]
-O=C(c1ccc(-c2cncc(O)n2)cc1)N1CCOCC1; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; ['Oc1cncc(Cl)n1']; [0.999976754]
-O=C([O-])c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-Oc1cncc(Cc2ccccc2)n1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cncc(O)n2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Oc1cncc(Cl)n1']; [0.999995351]
-O=C(c1ccc(-c2cncc(O)n2)nc1)N1CCOCC1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cncc(O)n2)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2cncc(O)n2)cn1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1cncc(O)n1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cncc(O)n2)C1; [None]; [None]; [0]
-Oc1cncc(Cc2cncnc2)n1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cncc(O)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cncc(O)n2)cc1Cl; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cncc(O)n2)cc1Cl; [None]; [None]; [0]
-Cc1cc(-c2cncc(O)n2)sn1; [None]; [None]; [0]
-Oc1cncc(-c2cc(N3CCOCC3)ccn2)n1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1cncc(O)n1; ['CC(C)(C)NC(N)=O']; ['Oc1cncc(Cl)n1']; [0.969144225]
-Oc1cncc(-c2cc(-c3ccccc3)[nH]n2)n1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cncc(O)n2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Oc1cncc(Cl)n1']; [0.999997854]
-COc1cccc(C(=O)N2CCC(c3cncc(O)n3)CC2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
-Oc1cncc(-c2cccnc2Oc2ccccc2)n1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1cncc(O)n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cncc(O)n2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cncc(O)n2)c1; [None]; [None]; [0]
-CCCCCc1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(-c2ncc3cccn3n2)n1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cncc(O)n3)cc2)CC1; [None]; [None]; [0]
-CC[NH+](CC)c1cncc(O)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cncc(O)n3)ccc2O1; [None]; [None]; [0]
-Oc1cncc(CCCn2cncn2)n1; [None]; [None]; [0]
-COc1cc(-c2cncc(O)n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Oc1cncc(-c2cc3ccccn3n2)n1; [None]; [None]; [0]
-Oc1cncc(-c2ccc(N3CCCCC3)cc2)n1; ['OB(O)c1ccc(N2CCCCC2)cc1']; ['Oc1cncc(Cl)n1']; [0.999885201]
-Cc1csc2c(-c3cncc(O)n3)ncnc12; [None]; [None]; [0]
-Oc1cncc(-c2cccc(-n3nccn3)c2)n1; [None]; [None]; [0]
-Oc1cncc(-c2ncc(Cl)cn2)n1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cncc(O)n2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cncc(O)n2)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cncc(O)n2)c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
-O=C(Nc1cncc(O)n1)c1ccco1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cncc(O)n2)CC1; [None]; [None]; [0]
-Oc1cncc(-c2cc(F)cc3c2OCOC3)n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cncc(O)n2)cc1; [None]; [None]; [0]
-COc1ccc2oc(-c3cncc(O)n3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cncc(O)n2)c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cncc(O)n1; [None]; [None]; [0]
-Cc1nc(-c2cncc(O)n2)c2sccc2n1; [None]; [None]; [0]
-Oc1cncc(-c2cc(-c3cccnc3)ccn2)n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
-Oc1cncc(-c2ncc3cc(Cl)ccc3n2)n1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cncc(O)n2)c1)N1CCCC1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3cncc(O)n3)[nH]c2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cncc(O)n2)cc1Cl; [None]; [None]; [0]
-CN(C)c1ccc(-c2cncc(O)n2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Oc1cncc(Cl)n1']; [0.999983072]
-Oc1cncc(OC(F)(F)F)n1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2cncc(O)n2)n1; [None]; [None]; [0]
-Cc1cc(-c2cncc(O)n2)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cncc(O)n3)ccc12; [None]; [None]; [0]
-Oc1cncc(C2CCC(F)(F)CC2)n1; [None]; [None]; [0]
-C[NH+](C)CCCc1cncc(O)n1; [None]; [None]; [0]
-Oc1cncc(CC2CCOCC2)n1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1cncc(O)n1; [None]; [None]; [0]
-O=S1(=O)CCC(c2cncc(O)n2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cncc(O)n2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cncc(O)n2)c(OC)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cncc(O)n1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cncc(O)n2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cncc(O)n1; [None]; [None]; [0]
-C[NH+](C)CCCOc1cncc(O)n1; [None]; [None]; [0]
-CCOc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-COc1cccc(N2CCC(Nc3cc(C4CCC4)[nH]n3)CC2)c1; [None]; [None]; [0]
-N#Cc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-Cn1nncc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-c1ccc2nc(Nc3cc(C4CCC4)[nH]n3)ncc2c1; [None]; [None]; [0]
-Cn1cc(Nc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
-Cc1nn(C)cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-COc1ncccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-COc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-Oc1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CCC3)[nH]n2)cc(OC)c1OC; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2cc(C3CCC3)[nH]n2)c1)C1CC1; [None]; [None]; [0]
-c1ccc2[nH]c(Nc3cc(C4CCC4)[nH]n3)nc2c1; [None]; [None]; [0]
-c1cnn2c(Nc3cc(C4CCC4)[nH]n3)cnc2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(Nc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
-c1cc(N2CCOCC2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-c1cnc(NNc2cc(C3CCC3)[nH]n2)nc1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-Fc1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-Clc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-OCCOc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-c1ccc2c(CNc3cc(C4CCC4)[nH]n3)nccc2c1; [None]; [None]; [0]
-O=C(c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(Nc2cc(C3CCC3)[nH]n2)nc1)N1CCOCC1; [None]; [None]; [0]
-OCCCNc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-c1cc(Nc2cc(C3CCC3)[nH]n2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C3CCC3)[nH]n2)nn1C; [None]; [None]; [0]
-Cc1nc(C)c(Nc2cc(C3CCC3)[nH]n2)s1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-c1c(NC2CCCCC2)n[nH]c1C1CCC1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](Nc2cc(C3CCC3)[nH]n2)C1; [None]; [None]; [0]
-Clc1ncc(Nc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-Cc1c(Nc2cc(C3CCC3)[nH]n2)cccc1C(=O)[O-]; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
-c1ncc(Nc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-c1ccc2c(Nc3cc(C4CCC4)[nH]n3)c[nH]c2c1; [None]; [None]; [0]
-Brc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-c1c[nH]c(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C3CCC3)[nH]n2)sn1; [None]; [None]; [0]
-c1n[nH]cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2cc(C3CCC3)[nH]n2)cc1Cl; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(Nc2cc(C3CCC3)[nH]n2)n1; [None]; [None]; [0]
-c1ccc2cc(Nc3cc(C4CCC4)[nH]n3)ncc2c1; [None]; [None]; [0]
-c1cc2c(cc1Nc1cc(C3CCC3)[nH]n1)CCO2; [None]; [None]; [0]
-c1ccc(-c2cc(Nc3cc(C4CCC4)[nH]n3)n[nH]2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(Nc3cc(C4CCC4)[nH]n3)CC2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CCC3)[nH]n2)ccc1O; [None]; [None]; [0]
-c1cc(Nc2cc(C3CCC3)[nH]n2)c2c(c1)OCO2; [None]; [None]; [0]
-c1c(Nc2scc3c2OCCO3)n[nH]c1C1CCC1; [None]; [None]; [0]
-Fc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1F; [None]; [None]; [0]
-c1ccc(Oc2ncccc2Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-c1ccc2ncc(Nc3cc(C4CCC4)[nH]n3)cc2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-COCCNc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
-c1coc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-COc1cccc(C(=O)NNc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C3CCC3)[nH]n2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(Nc3cc(C4CCC4)[nH]n3)cc2)CC1; [None]; [None]; [0]
-CC[C@@H](CO)Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-c1c(NC2CCOCC2)n[nH]c1C1CCC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](Nc2cc(C3CCC3)[nH]n2)C1; [None]; [None]; [0]
-Brc1cnc(Nc2cc(C3CCC3)[nH]n2)nc1; [None]; [None]; [0]
-Fc1ccc(Nc2cc(C3CCC3)[nH]n2)c(Cl)c1; [None]; [None]; [0]
-CCc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-Clc1ccc(Nc2cc(C3CCC3)[nH]n2)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1OC; [None]; [None]; [0]
-c1cc2cnc(Nc3cc(C4CCC4)[nH]n3)nn2c1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CCC3)[nH]n2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1cc(Nc2cc(C3CCC3)[nH]n2)cs1; [None]; [None]; [0]
-c1ccn2nc(Nc3cc(C4CCC4)[nH]n3)cc2c1; [None]; [None]; [0]
-Cc1cc(C)cc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-Cn1cc(Nc2cc(C3CCC3)[nH]n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(Nc3cc(C4CCC4)[nH]n3)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(Nc3cc(C4CCC4)[nH]n3)c2c1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CCC3)[nH]n2)ccc1Cl; [None]; [None]; [0]
-c1cc(N2CCCCC2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-Oc1ccc2cccc(Nc3cc(C4CCC4)[nH]n3)c2c1; [None]; [None]; [0]
-c1cc(Nc2cc(C3CCC3)[nH]n2)cc(-n2nccn2)c1; [None]; [None]; [0]
-Clc1cnc(Nc2cc(C3CCC3)[nH]n2)nc1; [None]; [None]; [0]
-COc1cc(F)c(Nc2cc(C3CCC3)[nH]n2)cc1OC; [None]; [None]; [0]
-Cc1ccc(Nc2cc(C3CCC3)[nH]n2)o1; [None]; [None]; [0]
-Cc1csc2c(Nc3cc(C4CCC4)[nH]n3)ncnc12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CCC3)[nH]n2)c(OC)cc1Br; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
-COc1cc(Nc2cc(C3CCC3)[nH]n2)cc(OC)c1; [None]; [None]; [0]
-Fc1cc2c(c(Nc3cc(C4CCC4)[nH]n3)c1)OCOC2; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-COc1ccc2oc(Nc3cc(C4CCC4)[nH]n3)cc2c1; [None]; [None]; [0]
-c1cc2cn[nH]c2cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-c1ccc2oc(Nc3cc(C4CCC4)[nH]n3)cc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(Nc3cc(C4CCC4)[nH]n3)c2)c1; [None]; [None]; [0]
-Cc1nc(Nc2cc(C3CCC3)[nH]n2)c2sccc2n1; [None]; [None]; [0]
-c1cc2nc(Nc3cc(C4CCC4)[nH]n3)ncc2s1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-Clc1ccc2nc(Nc3cc(C4CCC4)[nH]n3)ncc2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2cc(C3CCC3)[nH]n2)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(Nc3cc(C4CCC4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
-Cn1cc(Nc2cc(C3CCC3)[nH]n2)c2ccccc21; [None]; [None]; [0]
-c1nc(Nc2cc(C3CCC3)[nH]n2)cs1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1Cl; [None]; [None]; [0]
-Cc1ccc(Nc2cc(C3CCC3)[nH]n2)nc1C; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(Nc2cc(C3CCC3)[nH]n2)n1; [None]; [None]; [0]
-CCc1cccc(Nc2cc(C3CCC3)[nH]n2)n1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
-Cc1cc(Nc2cc(C3CCC3)[nH]n2)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(Nc3cc(C4CCC4)[nH]n3)ccc12; [None]; [None]; [0]
-FC1(F)CCC(Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
-O=S1(=O)CCC(Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-OCCc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
-c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc3nn[nH]c3c2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1cc2nn[nH]c2cc1C1CCOCC1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-Cc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc3nn[nH]c3c2)cs1; [None]; [None]; [0]
-OC[C@@H]1CC[C@@H](c2ccc3nn[nH]c3c2)CO1; [None]; [None]; [0]
-COc1cnc(-c2ccc3nn[nH]c3c2)nc1; [None]; [None]; [0]
-c1cc2nn[nH]c2cc1C1CCCCC1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1cc2nn[nH]c2cc1CC1CCCCC1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-CCC(C)(C)c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ccc3nn[nH]c3c2)s1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
-COC(=O)[C@@H](N)Cc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1nc(CCNc2ccc3nn[nH]c3c2)c[nH]1; [None]; [None]; [0]
-c1ccc(CCNc2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ccc4nn[nH]c4c3)cc2)cn1; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc4nn[nH]c4c3)ccc21; [None]; [None]; [0]
-CCCCc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-[NH3+]CCCc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3ccc4nn[nH]c4c3)ccc12; [None]; [None]; [0]
-[NH3+][C@H]1CCC[C@@H](c2ccc3nn[nH]c3c2)C1; [None]; [None]; [0]
-C[C@@H](C[NH+](C)C)Oc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc2nn[nH]c2c1; []; []; []
-c1ncc2c(-c3ccc4nn[nH]c4c3)csc2n1; [None]; [None]; [0]
-CSc1nc(-c2ccc3nn[nH]c3c2)c[nH]1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc4nn[nH]c4c3)cc2s1; [None]; [None]; [0]
-Cn1cc(-c2ccc3nn[nH]c3c2)c2ccccc21; [None]; [None]; [0]
-C[C@H](c1ccc2nn[nH]c2c1)C(F)(F)F; [None]; [None]; [0]
-c1ccn2ncc(-c3ccc4nn[nH]c4c3)c2c1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc3nn[nH]c3c2)CC1; [None]; [None]; [0]
-O=c1cc(-c2ccc3nn[nH]c3c2)ccn1[C@@H2]CO; [None]; [None]; [0]
-O=c1cc(-c2ccc3nn[nH]c3c2)cc[nH]1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-O=C([O-])c1cc(-c2ccc3nn[nH]c3c2)ccc1Cl; [None]; [None]; [0]
-COc1cc(CCc2ccc3nn[nH]c3c2)cc(OC)c1; [None]; [None]; [0]
-O=C(O)N[C@@H]1CC[C@@H](c2ccc3nn[nH]c3c2)C1; [None]; [None]; [0]
-CC1(c2ccc3nn[nH]c3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-Cc1cc(-c2ccc3nn[nH]c3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-c1cc2cc(-c3ccc4nn[nH]c4c3)cnc2[nH]1; [None]; [None]; [0]
-c1cc(N2CCOCC2)ccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-OCCc1cn(-c2ccc3nn[nH]c3c2)cn1; [None]; [None]; [0]
-C[C@H](Nc1ccc2nn[nH]c2c1)C(C)(C)C; [None]; [None]; [0]
-N#CCC[C@@H]1CC[C@@H](c2ccc3nn[nH]c3c2)CC1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2nn[nH]c2c1)C(C)(C)O; [None]; [None]; [0]
-c1nc(-c2ccc3nn[nH]c3c2)n[nH]1; [None]; [None]; [0]
-OCc1ccn(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ccc3nn[nH]c3c2)[nH]1; [None]; [None]; [0]
-Cc1nc[nH]c1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-C[C@H](Nc1ccc2nn[nH]c2c1)C(C)(C)O; [None]; [None]; [0]
-CC(C)n1cnnc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1ncn(-c2ccc(-c3ccc4nn[nH]c4c3)cc2)n1; [None]; [None]; [0]
-C[C@H](CO)n1cnnc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1cc2nn[nH]c2cc1-c1nncn1C1CC1; [None]; [None]; [0]
-CC(C)([NH3+])CNc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-O=C(CCc1ccc2nn[nH]c2c1)NCc1ccccn1; [None]; [None]; [0]
-Cn1cnnc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3ccc4nn[nH]c4c3)nn2)cc1; [None]; [None]; [0]
-CCc1cc(-c2ccc3nn[nH]c3c2)nc(N)n1; [None]; [None]; [0]
-c1cc2nn[nH]c2cc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-C[C@@H](Nc1ccc2nn[nH]c2c1)C(C)(C)C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3nn[nH]c3c2)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ccc3nn[nH]c3c2)nc(N)n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc3nn[nH]c3c2)[nH]1; [None]; [None]; [0]
-c1cc2nn[nH]c2cc1CC1CCOCC1; [None]; [None]; [0]
-NC(=O)N1CCC[C@@H]1c1ccc2nn[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3nn[nH]c3c2)c(=O)n1C; [None]; [None]; [0]
-c1cc(N2CCOCC2)c(-c2ccc3nn[nH]c3c2)cn1; [None]; [None]; [0]
-c1ccc2nc(-c3ccc4nn[nH]c4c3)ncc2c1; [None]; [None]; [0]
-O[C@H]1CC[C@@H](Oc2ccc3nn[nH]c3c2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc2nn[nH]c2c1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C#N)cc2)n1; [None]; [None]; [0]
-c1cc2cnc(-c3ccc4nn[nH]c4c3)nc2[nH]1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N(C)C(C)=O)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(C2CCN(c3cccc(OC)c3)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc3nn[nH]c3c2)cnn1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(S(C)(=O)=O)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccnc2OC)n1; [None]; [None]; [0]
-CCOc1ccc(-c2ccnc(N[C@H2]C)n2)cc1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(OC)c(OC)c(OC)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-n2cnc3ccc(C)cc32)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2c[nH]nc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cn(C)nc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnnn2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(OC)cc2)n1; ['CCN']; ['COc1ccc(-c2ccnc(Cl)n2)cc1']; [0.99905175]
-C[C@H2]Nc1nccc(-c2cnn(C)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2)n1; ['CCO']; ['Nc1nccc(-c2ccccc2)n1']; [0.886903286]
-C[C@H2]Nc1nccc(-c2cccc(O)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(NC(=O)C3CC3)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(NS(C)(=O)=O)nc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-n2ncc3ccccc3c2=O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)Nc3ccccc3)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(N)=O)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Nc2ncccn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Cc2nccc3ccccc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(F)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(C3CCNCC3)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(CNC(C)=O)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(OCCO)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)N3CCOCC3)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)N3CCOCC3)cn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C)n(C)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(OC[C@H](C)O)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(OC[C@@H](C)O)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(S(=O)(=O)NC)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(F)(F)F)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N(C)C)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2sc(C)nc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(S(=O)(=O)N(C)C)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(C2CCCCC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(C2CCN(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@H]2CCN(C(=O)c3ccccc3)C2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnc(Cl)nc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cncnc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(C(=O)[O-])c2C)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccnc(N[C@H2]C)n2)cc1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(Br)cc2)n1; ['CCN']; ['Clc1nccc(-c2ccc(Br)cc2)n1']; [0.997872829]
-C[C@H2]Nc1nccc(-c2cc(Cl)ccc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N(C)C)c(Cl)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cn[nH]c2)n1; ['CCN']; ['CSc1nccc(-c2cn[nH]c2)n1']; [0.998672843]
-C[C@H2]Nc1nccc(-n2ccnc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc[nH]2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(Cl)c(OC)cc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(N3CCOCC3)ccn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C)ns2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(-c3ccccc3)[nH]n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc3c(c2)CCO3)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc3ccccc3cn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(O)c(OC)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(NC(C)=O)c2)n1; ['CC(=O)Nc1cccc(C(=O)C=CN(C)C)c1']; ['CCNC(=N)N']; [0.999984145]
-C[C@H2]Nc1nccc(C2CCN(C(=O)c3cccc(OC)c3)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc3c2OCO3)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CC[C@@H]([NH3+])CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(F)c(F)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(C)(C)C)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccnc2Oc2ccccc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnc3ccccc3c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)N(C)C)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(C)(C)C)nc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CC[C@@H](NC(C)=O)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NC(=O)c2cccc(OC)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccco2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N3CCOCC3)cc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C)nc(N)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(SC)c2)n1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccnc(N[C@H2]C)n3)cc2)CC1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(F)cc2Cl)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CC[C@@H](O)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(C2CCOCC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ncc(Br)cn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@H]2CC[C@@H](O)C2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(OC)c(OC)c2)n1; [None]; [None]; [0]
-CCc1ccc(-c2ccnc(N[C@H2]C)n2)cc1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccsc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(Cl)cc2Cl)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ncc3cccn3n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cn(C)nc2C(F)(F)F)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N3CCOCC3)c(OC)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc3ccccn3n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N3CCCCC3)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C)cc(C)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc3c(c2)CC(C)(C)O3)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(OC)c(OC)cc2F)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc3ccc(OC)cc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc3ccc(O)cc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ncnc3c(C)csc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(Cl)c(OC)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ncc(Cl)cn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(-n3nccn3)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(OC)c(Br)cc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C)o2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CC[C@@H](OC)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(F)cc3c2OCOC3)n1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccnc(N[C@H2]C)n2)CC1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CC[C@@H](NC(=O)NC(C)C)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc3cc(OC)ccc3o2)n1; [None]; [None]; [0]
-CCn1cc(-c2ccnc(N[C@H2]C)n2)cn1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(OC)cc(OC)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc3cn[nH]c3c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C[NH+](C)C)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C(=O)NC)ccc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc3ccccc3o2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(-c3cccnc3)ccn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(Br)cn2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nc(C)nc3ccsc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)NC)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cn(C)nc2C(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ncc3cc(Cl)ccc3n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(NC(=O)N3CCCC3)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(OC(F)(F)F)cc2)n1; ['CCN']; ['FC(F)(F)Oc1ccc(-c2ccnc(Cl)n2)cc1']; [0.999771297]
-C[C@H2]Nc1nccc(-c2nc3ccc(OC)cc3[nH]2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cn(C)c3ccccc23)n1; ['CCN']; ['Cn1cc(-c2ccnc(Cl)n2)c2ccccc21']; [0.999897361]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)[O-])c(Cl)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cscn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C)c(C)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(N3CCC[C@@H]3C)n2)n1; [None]; [None]; [0]
-CCc1cccc(-c2ccnc(N[C@H2]C)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N(C)C)nc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc3c(cnn3C)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C)c(OCCO)c(C)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(C2CCC(F)(F)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(N3CCCC3=O)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc3c(C)n[nH]c3c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N3CCC(O)CC3)cc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(CCO)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(C2CCS(=O)(=O)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N3CCOCC3)cc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(N3CCNCC3)cc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)N(C)C)cc2Cl)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)NC)cc2OC)n1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccnc(N[C@H2]C)n2)cc1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C(=O)NC)ccc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(S(C)(=O)=O)ccc2Cl)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C(=O)NCCO)ccc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2C(=O)NC)n1; [None]; [None]; [0]
-CCOc1ccccc1-c1ccnc(N[C@H2]C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(CCC(C)(C)OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2-c2nnc(C)[nH]2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2S(=O)(=O)C(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2C[C@H](O)C2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2P(C)(C)=O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Cc2cc(F)cc(F)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@H](C)c2cc(F)ccc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc[nH]n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccnc3ccccc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(C)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2F)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccnc2)n1; ['CC=O']; ['Nc1nccc(-c2cccnc2)n1']; [0.908426166]
-C[C@H2]Nc1nccc(-c2ccccc2C#N)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2Cl)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2Br)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2C(N)=O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2OC(F)(F)F)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccccc2C(=O)[O-])n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnn(Cc3ccccc3)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2c(F)cccc2F)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccncn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnn(CCO)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H](N)c2ccco2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2csc(C(C)(C)C)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CC[C@@H](CO)OC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(NC(=O)c3ccccc3)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc3c(c2)CCC3)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(CC2CCCCC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ncc(OC)cn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(OCC(=O)C(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnco2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2c(C)nc3ccccn23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2sc(NC)nc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C)cc2Br)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2sc(N)nc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NC(C)(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C)ccc2Cl)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(Cl)c2Cl)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnc(C)[nH]2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(OC2CCCCC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(OC)c2)n1; ['CCN']; ['COc1cccc(-c2ccnc(Cl)n2)c1']; [0.999741]
-C[C@H2]Nc1nccc(-c2ccc3ccccc3c2)n1; ['CCN']; ['Clc1nccc(-c2ccc3ccccc3c2)n1']; [0.999186933]
-C[C@H2]Nc1nccc(NCc2cccnc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Nc2cccnc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(N[C@H](C)CO)n1; [None]; [None]; [0]
-CCC(C)(C)c1ccnc(N[C@H2]C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NCCc2c[nH]cn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(Cl)s2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(OCC(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(O[C@H](C)[C@@H](C)O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NC(=O)c2cccs2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-n2cnc3ccccc32)n1; [None]; [None]; [0]
-CCCCc1ccnc(N[C@H2]C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cncc3ccccc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(C[C@H](N)C(=O)OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc3c(N)[nH]nc3c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(-c3cnn(C)c3)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(O[C@@H](C)C[NH+](C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NCCc2ccccc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(CCC[NH3+])n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CCC[C@H]([NH3+])C2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cncn2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccs2)n1; ['CCO']; ['Nc1nccc(-c2cccs2)n1']; [0.82370013]
-CCCn1cnc(-c2ccnc(N[C@H2]C)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2c[nH]c(SC)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(CO)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NC(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Nc2ccncc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2csc3ncncc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnoc2C(C)C)n1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccnc(N[C@H2]C)n3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccnc(N[C@H2]C)n2)cc1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(N2CCC(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(OC(F)(F)F)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(CCC#N)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(F)cc2C(F)(F)F)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(OC)c(Cl)c2)n1; [None]; [None]; [0]
-CCC(=O)Nc1ccnc(N[C@H2]C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H](C)C(F)(F)F)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C)on2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnoc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc[nH]c(=O)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccn([C@@H2]CO)c(=O)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NC(=O)NC(C)(C)C)n1; [None]; [None]; [0]
-CCCn1cc(-c2ccnc(N[C@H2]C)n2)cn1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(CCc2cc(OC)cc(OC)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(Cl)c(C(=O)[O-])c2)n1; [None]; [None]; [0]
-CCOC(=O)Cc1ccnc(N[C@H2]C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc3c2C(=O)CC3)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(C)(C)N)cc2)n1; [None]; [None]; [0]
-CCN(CC)c1ccnc(N[C@H2]C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc3c(=O)[nH]ccc3o2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc([S@](C)=O)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Nc2cnc3ccccc3c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Nc2cnccc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@H](CO)Cc2ccccc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(F)c2C(=O)NC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CC[C@@H](NC(=O)O)C2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CCCN(C(=O)CC#N)C2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(C2(C)CCN(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CC[C@@H](CC#N)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CC[C@@H](CCC#N)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@@H]2CC[C@@H](C#N)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(S(C)(=O)=O)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@H]2COCC[C@@H]2C#N)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-n2ccc(CO)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-n2cnc(CCO)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C)nn2-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(N[C@@H](C)C(C)(C)O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(N[C@@H](C)C(C)(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(N[C@H](C)C(C)(C)O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-n2ncc3ccccc32)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(F)c2C(N)=O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-n2ncc3c(O)cccc32)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccnc2O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nc[nH]n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2[nH]c(SC)nc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(OC)cc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2[nH]cnc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Cc2ccncc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NCC(C)(C)[NH3+])n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nncn2C(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nncn2[C@H](C)CO)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)c3ccccc3)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(CCC(=O)NCc2ccccn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nncn2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(N[C@H](C)C(C)(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(OC2CCOCC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnc(N)s2)n1; [None]; [None]; [0]
-CCCCc1cc(-c2ccnc(N[C@H2]C)n2)nc(N)n1; [None]; [None]; [0]
-CCc1cc(-c2ccnc(N[C@H2]C)n2)nc(N)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cncc(C)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)NC)s2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nnc(N)s2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc([C@H]2CCCN2C(N)=O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2c(F)cccc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(CC2CCOCC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2csc(N3CCOCC3)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cn(C)n(C)c2=O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnc(NC(C)=O)[nH]2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnccc2N2CCOCC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(O[C@@H]2CC[C@H](O)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Cc2cccnc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C#N)ccc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(OC(C)(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NCC(C)(C)C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Cc2ccccc2NS(C)(=O)=O)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(OC)ccc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnnc(N(C)C)c2)n1; [None]; [None]; [0]
-O=C(NCc1ccccc1)c1ccccc1; ['N#Cc1ccccc1', 'O=Cc1ccccc1']; ['NCc1ccccc1', '[N-]=[N+]=NCc1ccccc1']; [0.996800661, 0.996800661]
-C[C@H2]Nc1nccc([C@H]2CC[C@@](C)(O)CC2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(N2CC=C(c3c[nH]c4ccccc34)CC2)n1; [None]; [None]; [0]
-Cc1ccccc1CNC(=O)c1ccccc1; ['Cc1ccccc1CN', 'Cc1ccccc1CN']; ['NC(=O)c1ccccc1', 'O=Cc1ccccc1']; [0.992791533, 0.992791533]
-C[C@H2]Nc1nccc(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; [None]; [None]; [0]
-Cn1c(CNC(=O)c2ccccc2)nc2ccccc21; []; []; []
-Cc1cc(F)ccc1CNC(=O)c1ccccc1; ['Cc1cc(F)ccc1CO', 'Cc1ccc(F)cc1C']; ['NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.996396244, 0.996396244]
-O=C(NCc1cn[nH]c1Cl)c1ccccc1; [None]; [None]; [0]
-NC(=O)c1ccc(CNC(=O)c2ccccc2)c(F)c1; [None]; [None]; [0]
-O=C(NCCCc1ccc(Cl)cc1)c1ccccc1; ['NC(=O)c1ccccc1']; ['OCCCc1ccc(Cl)cc1']; [0.955640674]
-O=C([O-])c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(CNC(=O)c2ccccc2)c1; [None]; [None]; [0]
-NC(=O)c1cc(CNC(=O)c2ccccc2)c[nH]1; [None]; [None]; [0]
-O=C(NCc1c(Cl)ccc2c1OCO2)c1ccccc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1CNC(=O)c1ccccc1; [None]; [None]; [0]
-COCCCCNC(=O)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1nnco1)c1ccccc1; [None]; [None]; [0]
-Cc1nnc(CNC(=O)c2ccccc2)o1; ['CC(=O)O', 'CC(=O)NN']; ['NNC(=O)CNC(=O)c1ccccc1', 'O=C(O)CNC(=O)c1ccccc1']; [0.996902, 0.996902]
-CNC(=O)c1cccc2cc(CNC(=O)c3ccccc3)ccc12; [None]; [None]; [0]
-CNc1nccc(CNC(=O)c2ccccc2)n1; [None]; [None]; [0]
-O=C(NCC1CCOCC1)c1ccccc1; ['Cc1ccccc1', 'CCOC(=O)c1ccccc1']; ['NCC1CCOCC1', 'NCC1CCOCC1']; [0.999649882, 0.999649882]
-O=C(NCc1cnc2[nH]ccc2c1)c1ccccc1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ncc(F)cn1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ccc(Br)o1)c1ccccc1; [None]; [None]; [0]
-Nc1cc(CNC(=O)c2ccccc2)n[nH]1; [None]; [None]; [0]
-CN(CNC(=O)c1ccccc1)c1cccc(Cl)c1; ['CN(C)c1cccc(Cl)c1']; ['NC(=O)c1ccccc1']; [0.900833666]
-O=C(NCc1[nH]nc2ccc(F)cc12)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cccc([O-])c1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1nncs1)c1ccccc1; [None]; [None]; [0]
-Cc1n[nH]c(CNC(=O)c2ccccc2)c1C; [None]; [None]; [0]
-Cc1cc(CNC(=O)c2ccccc2)ccc1C(N)=O; [None]; [None]; [0]
-O=C(NCc1ccc(C(=O)NC2CC2)cc1)c1ccccc1; [None]; [None]; [0]
-O=C(NCOCc1cccc2ccccc12)c1ccccc1; ['BrCc1cccc2ccccc12']; ['O=C(NCO)c1ccccc1']; [0.985378504]
-O=C(NCc1[nH]cnc1-c1ccc(F)cc1)c1ccccc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1CNC(=O)c1ccccc1; ['CCOC(=O)c1ccccc1']; ['Cc1onc(-c2ccccc2)c1CN']; [0.99711597]
-O=C(NCCCc1c[nH]c2ccccc12)c1ccccc1; [None]; [None]; [0]
-O=C(NCOCc1ccc(F)cc1F)c1ccccc1; ['Fc1ccc(CBr)c(F)c1', 'O=C(NCO)c1ccccc1']; ['O=C(NCO)c1ccccc1', 'OCc1ccc(F)cc1F']; [0.993942201, 0.993942201]
-O=C(NCc1cn[nH]c1-c1ccc(Cl)cc1)c1ccccc1; [None]; [None]; [0]
-O=C(NCCCc1ccc(F)cc1F)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ncc2ccccc2n1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ccc(N2CCOCC2)cc1)c1ccccc1; ['NCc1ccc(N2CCOCC2)cc1']; ['O=C(O)c1ccccc1']; [0.999409318]
-COc1cccc(N2CCC(CNC(=O)c3ccccc3)CC2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-O=C(NCc1cccc(NC(=O)C2CC2)c1)c1ccccc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(CNC(=O)c2ccccc2)cn1; [None]; [None]; [0]
-Cc1ccc2ncn(CNC(=O)c3ccccc3)c2c1; [None]; [None]; [0]
-CC(=O)NCc1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-O=C(NCc1ccc(C(=O)N2CCOCC2)cn1)c1ccccc1; [None]; [None]; [0]
-O=C(NCn1ncc2ccccc2c1=O)c1ccccc1; [None]; [None]; [0]
-O=C(NCC1CCCCC1)c1ccccc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-O=C(NCc1ccc(C(=O)N2CCOCC2)cc1)c1ccccc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(CNC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-O=C(NC[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccccc1; [None]; [None]; [0]
-COc1cc(OC)c(CNC(=O)c2ccccc2)cc1Cl; ['COc1ccc(Cl)c(OC)c1']; ['O=C(NCO)c1ccccc1']; [0.973381]
-Cc1c(CNC(=O)c2ccccc2)cccc1C(=O)[O-]; [None]; [None]; [0]
-CN(C)c1ccc(CNC(=O)c2ccccc2)cc1Cl; [None]; [None]; [0]
-Cc1cc(CNC(=O)c2ccccc2)sn1; [None]; [None]; [0]
-O=C(NCc1cc(N2CCOCC2)ccn1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cc(-c2ccccc2)[nH]n1)c1ccccc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(CNC(=O)c3ccccc3)CC2)c1; [None]; [None]; [0]
-O=C(NCc1cccnc1Oc1ccccc1)c1ccccc1; [None]; [None]; [0]
-[NH3+][C@H]1CC[C@H](CNC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(CNC(=O)c2ccccc2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](CNC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(CNC(=O)c3ccccc3)cc2)CC1; ['CCN1CCN(Cc2ccc(CN)cc2)CC1', 'CCN1CCN(Cc2ccc(CN)cc2)CC1', 'CC(C)(C)OC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'COC(=O)c1ccccc1', 'CCN1CCN(Cc2ccc(CN)cc2)CC1']; [0.999051034, 0.999051034, 0.999051034]
-COc1cccc(C(=O)NCNC(=O)c2ccccc2)c1; []; []; []
-COc1cc(N2CCOCC2)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-COc1cc(CNC(=O)c2ccccc2)ccc1N1CCOCC1; [None]; [None]; [0]
-O=C(NCc1ccc(N2CCCCC2)cc1)c1ccccc1; ['NCc1ccc(N2CCCCC2)cc1', 'COC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'NCc1ccc(N2CCCCC2)cc1']; [0.999442756, 0.999442756]
-O=C(NCc1ncc2cccn2n1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cc2ccccn2n1)c1ccccc1; [None]; [None]; [0]
-CC1(C)Cc2cc(CNC(=O)c3ccccc3)ccc2O1; [None]; [None]; [0]
-O=C(NCc1cccc(-n2nccn2)c1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ncc(Cl)cn1)c1ccccc1; [None]; [None]; [0]
-Cc1csc2c(CNC(=O)c3ccccc3)ncnc12; [None]; [None]; [0]
-O=C(NCc1cc(F)cc2c1OCOC2)c1ccccc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](CNC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(CNC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](CNC(=O)c2ccccc2)CC1; [None]; [None]; [0]
-COc1ccc2oc(CNC(=O)c3ccccc3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(CNC(=O)c2ccccc2)c1; [None]; [None]; [0]
-O=C(NCc1cc(-c2cccnc2)ccn1)c1ccccc1; [None]; [None]; [0]
-Cn1cc(Br)cc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-Cc1nc(CNC(=O)c2ccccc2)c2sccc2n1; [None]; [None]; [0]
-O=C(NCc1ncc2sccc2n1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ncc2cc(Cl)ccc2n1)c1ccccc1; [None]; [None]; [0]
-COc1ccc2nc(CNC(=O)c3ccccc3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=C(O)CNC(=O)c1ccccc1']; [0.999372303]
-CC(C)c1nn(C)cc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-O=C(NCc1cccc(NC(=O)N2CCCC2)c1)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1ccc(C(=O)[O-])c(Cl)c1)c1ccccc1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(CNC(=O)c2ccccc2)n1; [None]; [None]; [0]
-Cn1cc(CNC(=O)c2ccccc2)c2ccccc21; [None]; [None]; [0]
-Cc1cc(CNC(=O)c2ccccc2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1ncc2cc(CNC(=O)c3ccccc3)ccc21; ['Cn1ncc2ccccc21']; ['O=C(NCO)c1ccccc1']; [0.818160057]
-CN(C)c1ccc(CNC(=O)c2ccccc2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(CNC(=O)c3ccccc3)ccc12; [None]; [None]; [0]
-O=C(NCC1CCC(F)(F)CC1)c1ccccc1; ['NC(=O)c1ccccc1']; ['OCC1CCC(F)(F)CC1']; [0.955996692]
-COc1cc(N2CCC(O)CC2)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-O=C(NCC1CCS(=O)(=O)CC1)c1ccccc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(CNC(=O)c2ccccc2)c(Cl)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(CNC(=O)c2ccccc2)c(OC)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-CCNC(=O)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(O)cc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['OB(O)c1ccc(O)cc1']; [0.999867201]
-CNC(=O)c1ccc(C)c(CNC(=O)c2ccccc2)c1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccncc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['OB(O)c1ccncc1']; [0.999982595]
-Cc1ccc(C(=O)NCCO)cc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccccc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['OB(O)c1ccccc1']; [0.999905]
-CC(C)c1nnc2ccc(-c3cnn(C)c3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999995589]
-CC(C)c1nnc2ccc(-c3cccc4ncccc34)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['OB(O)c1cccc2ncccc12']; [0.999992609]
-CCc1ccc(-c2ccc3nnc(C(C)C)n3c2)cc1; ['CC(C)c1nnc2ccc(Br)cn12']; ['CCc1ccc(B(O)O)cc1']; [0.99996829]
-CC(C)c1nnc2ccc(-c3cn[nH]c3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3c(F)cccc3F)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['CC1(C)OB(c2c(F)cccc2F)OC1(C)C']; [0.999994636]
-CC(C)c1nnc2ccc(-c3ccc(Cl)c(O)c3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3n[nH]c4ccccc34)cn12; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc2nnc(C(C)C)n2c1; ['CC(C)c1nnc2ccc(Br)cn12', 'CC(C)c1nnc2ccc(Br)cn12', 'CC(C)c1nnc2ccc(Br)cn12']; ['Cc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(F)ccc1B(O)O', 'Cc1cc(F)ccc1Br']; [0.99999845, 0.99999845, 0.99999845]
-CNS(=O)(=O)c1ccc(-c2ccc3nnc(C(C)C)n3c2)cc1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3nc4ccccc4n3C)cn12; [None]; [None]; [0]
-Cc1ccccc1-c1ccc2nnc(C(C)C)n2c1; ['CC(C)c1nnc2ccc(Br)cn12']; ['Cc1ccccc1B(O)O']; [0.999983549]
-CC(C)c1nnc2ccc(-c3c(Cl)cccc3Cl)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(C(N)=O)cc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C']; [0.999998569]
-CC(C)c1nnc2ccc(-c3ccc(C(N)=O)cc3F)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; [0.99999845]
-CC(C)c1nnc2ccc(-c3ccnc(N)n3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(Oc3ccc(F)cc3)cn12; [None]; [None]; [0]
-Cc1ncc(-c2ccc3nnc(C(C)C)n3c2)[nH]1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(O)cc3Cl)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccccc3Cl)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cn[nH]c3Cl)cn12; [None]; [None]; [0]
-COc1cc(-c2ccc3nnc(C(C)C)n3c2)ccc1O; ['CC(C)c1nnc2ccc(Br)cn12']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; [0.999981165]
-CC(C)c1nnc2ccc([C@@H]3C[C@H](O)C3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(C(=O)[O-])cc3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(C#N)cc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['N#Cc1ccc(B(O)O)cc1']; [0.999976754]
-CC(C)c1nnc2ccc(-c3cc[nH]c3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccoc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['OB(O)c1ccoc1']; [0.999918342]
-CC(C)c1nnc2ccc(-c3cnc(C#N)cn3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['N#Cc1cnccn1']; [0.986651182]
-COC(=O)c1ccc(-c2ccc3nnc(C(C)C)n3c2)o1; ['CC(C)c1nnc2ccc(Br)cn12']; ['COC(=O)c1ccco1']; [0.986324489]
-CC(C)c1nnc2ccc(-c3cnccn3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(C#N)nc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['CC1(C)OB(c2ccc(C#N)nc2)OC1(C)C']; [0.999995]
-COc1cc(CCc2ccc3nnc(C(C)C)n3c2)ccc1O; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cccc(Br)c3)cn12; ['CC(C)c1nnc2ccc(Br)cn12', 'CC(C)c1nnc2ccc(Br)cn12']; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1']; [0.999987483, 0.999987483]
-CC(C)c1nnc2ccc(-n3ccc(CC(=O)[O-])c3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(COc3cccc(Cl)c3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cccs3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['CC1(C)OB(c2cccs2)OC1(C)C']; [0.999853969]
-CC(C)c1nnc2ccc(CCCO)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(O)cc3O)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccncn3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['c1cncnc1']; [0.995814741]
-COC(=O)c1ccc(Cl)c(-c2ccc3nnc(C(C)C)n3c2)c1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(F)c(Cl)c3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(COc3ccccc3Cl)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc([C@H](CO)c3ccccc3)cn12; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2nnc(C(C)C)n2c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc2nnc(C(C)C)n2c1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(CCc3ccc(Cl)cc3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cc(O)ccc3Cl)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cnc(O)c(Cl)c3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3c(Cl)ccc4c3OCO4)cn12; [None]; [None]; [0]
-Cc1ccc(-c2ccc3nnc(C(C)C)n3c2)cc1C; ['CC(C)c1nnc2ccc(Br)cn12', 'CC(C)c1nnc2ccc(Br)cn12']; ['Cc1ccc(B2OC(C)(C)C(C)(C)O2)cc1C', 'Cc1ccc(B(O)O)cc1C']; [0.999996901, 0.999996901]
-COc1cc(OC)cc(-c2ccc3nnc(C(C)C)n3c2)c1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3c[nH]c(C(N)=O)c3)cn12; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc2nnc(C(C)C)n2c1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(Cn3ccccc3=O)cn12; [None]; [None]; [0]
-COCCCc1ccc2nnc(C(C)C)n2c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3nnc(C(C)C)n3c2)cc1OC; ['CC(C)c1nnc2ccc(Br)cn12', 'CC(C)c1nnc2ccc(Br)cn12']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; [0.999986649, 0.999986649]
-CNC(=O)c1cccc2cc(-c3ccc4nnc(C(C)C)n4c3)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4nnc(C(C)C)n4c3)cc2[nH]1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3nnco3)cn12; [None]; [None]; [0]
-Cc1nnc(-c2ccc3nnc(C(C)C)n3c2)o1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cnc4[nH]ccc4c3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; [0.999999762]
-CC(C)c1nnc2ccc(-c3ccc(S(C)(=O)=O)cc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999899387]
-CC(C)c1nnc2ccc(-c3ccc(NC(N)=O)cc3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cncc(O)c3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(C3CCOCC3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3nc4ccccc4s3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc([C@H](C)CC(N)=O)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc([C@@H]3CC[C@H](C(N)=O)CC3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc4c(c3)CC(=O)N4)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; [0.999989033]
-CC(C)c1nnc2ccc(-c3ncc(F)cn3)cn12; [None]; [None]; [0]
-CNc1nccc(-c2ccc3nnc(C(C)C)n3c2)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccc2nnc(C(C)C)n2c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc2nnc(C(C)C)n2c1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(Br)o3)cn12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccc2nnc(C(C)C)n2c1; ['CC(C)c1nnc2ccc(Br)cn12']; ['Cc1cc(O)ccc1B(O)O']; [0.999913096]
-CC(C)c1nnc2ccc(N(C)c3cccc(Cl)c3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['CNc1cccc(Cl)c1']; [0.997879148]
-CC(C)c1nnc2ccc(-n3ccnc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['c1c[nH]cn1']; [0.999925137]
-Cc1cccc(C)c1-c1ccc2nnc(C(C)C)n2c1; ['CC(C)c1nnc2ccc(Br)cn12']; ['Cc1cccc(C)c1B(O)O']; [0.999935746]
-CC(C)c1nnc2ccc(-c3nccs3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cc(Cl)c(O)c(Cl)c3)cn12; [None]; [None]; [0]
-CCc1sccc1-c1ccc2nnc(C(C)C)n2c1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cc(N)n[nH]3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cc(N)[nH]n3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc4c(c3)CCN4)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3c(N)cnn3C)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3nncs3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(Br)cc3F)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['OB(O)c1ccc(Br)cc1F']; [0.999963164]
-CC(C)c1nnc2ccc(Nc3ccncc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['Nc1ccncc1']; [0.998556316]
-CC(C)c1nnc2ccc(-c3cccc([O-])c3)cn12; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3nnc(C(C)C)n3c2)c1C; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3[nH]nc4ccc(F)cc34)cn12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3nnc(C(C)C)n3c2)cc1; ['CC(C)c1nnc2ccc(Br)cn12']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999997616]
-Cc1ccc(-c2ccc3nnc(C(C)C)n3c2)nc1C; [None]; [None]; [0]
-Cc1csc(-c2ccc3nnc(C(C)C)n3c2)n1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(C(=O)NC4CC4)cc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12', 'CC(C)c1nnc2ccc(Br)cn12']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999999762, 0.999999762]
-Cc1ccc(-c2ccc3nnc(C(C)C)n3c2)c(C)n1; ['CC(C)c1nnc2ccc(Br)cn12']; ['Cc1ccc(Br)c(C)n1']; [0.999209404]
-CC(C)c1nnc2ccc(-c3cc(O)cc(Br)c3)cn12; [None]; [None]; [0]
-Cc1cc(-c2ccc3nnc(C(C)C)n3c2)ccc1C(N)=O; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3cnco3)cn12; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4nnc(C(C)C)n4c3)cc2o1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.992088258]
-CC(C)c1nnc2ccc(-c3cc(F)c(O)c(F)c3)cn12; [None]; [None]; [0]
-CSc1cccc(-c2ccc3nnc(C(C)C)n3c2)c1; ['CC(C)c1nnc2ccc(Br)cn12']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; [0.999999046]
-CC(C)c1nnc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(CCc3c[nH]c4ccccc34)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(OCc3cccc4ccccc34)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(OCc3ccccc3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(Oc3ccccc3F)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(Oc3ccc(F)cc3F)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['Oc1ccc(F)cc1F']; [0.999967933]
-Cc1onc(-c2ccccc2)c1-c1ccc2nnc(C(C)C)n2c1; [None]; [None]; [0]
-CC(C)c1nnc2ccc(-c3ccc(F)cc3Cl)cn12; ['CC(C)c1nnc2ccc(Br)cn12']; ['OB(O)c1ccc(F)cc1Cl']; [0.999994636]
-CC(C)c1nnc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(Cc3ccc(F)cc3)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(OCc3ccc(F)cc3F)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(CCc3ccc(F)cc3F)cn12; [None]; [None]; [0]
-CC(C)c1nnc2ccc(NCc3c(F)cccc3Cl)cn12; [None]; [None]; [0]
-Nc1nc2ccc(-c3ncc4ccccc4n3)cc2s1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(c3ccc4nc(N)sc4c3)CC2)c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccccc3)cc2s1; ['CC1(C)OB(c2ccccc2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.99997139]
-Nc1nc2ccc(-c3ccc(N4CCOCC4)cc3)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999996781]
-Nc1nc2ccc(-c3cccc(NC(=O)C4CC4)c3)cc2s1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccc3nc(N)sc3c2)cn1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(C(=O)N4CCOCC4)cc3)cc2s1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [1.0]
-Nc1nc2ccc(-c3ccc(C(=O)[O-])cc3)cc2s1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(C(=O)N4CCOCC4)cn3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(C3CCCCC3)cc2s1; []; []; []
-CCNS(=O)(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; ['CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc2ccc(Br)cc2s1']; [0.807977796]
-Nc1nc2ccc([C@H]3CCN(C(=O)c4ccccc4)C3)cc2s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3nc(N)sc3c2)cc1Cl; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc3nc(N)sc3c2)cc1Cl; [None]; [None]; [0]
-Nc1nc2ccc(-c3cc(N4CCOCC4)ccn3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cc(-c4ccccc4)[nH]n3)cc2s1; [None]; [None]; [0]
-Cc1cc(-c2ccc3nc(N)sc3c2)sn1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3ccc4nc(N)sc4c3)CC2)c1; [None]; [None]; [0]
-Nc1nc2ccc([C@@H]3CC[C@@H]([NH3+])CC3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cccnc3Oc3ccccc3)cc2s1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1nc2ccc(Br)cc2s1']; [0.99999249]
-CC(C)(C)c1ccc(-c2ccc3nc(N)sc3c2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-COCCc1ccc2nc(N)sc2c1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc4nc(N)sc4c3)cc2)CC1; [None]; [None]; [0]
-Nc1nc2ccc(C3CCOCC3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ncc4cccn4n3)cc2s1; [None]; [None]; [0]
-COc1cc(-c2ccc3nc(N)sc3c2)ccc1N1CCOCC1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccc4nc(N)sc4c3)ccc2O1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(N4CCCCC4)cc3)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['OB(O)c1ccc(N2CCCCC2)cc1']; [0.999984]
-Nc1nc2ccc(-c3cc4ccccn4n3)cc2s1; [None]; [None]; [0]
-Cc1csc2c(-c3ccc4nc(N)sc4c3)ncnc12; [None]; [None]; [0]
-Nc1nc2ccc(-c3cccc(-n4nccn4)c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ncc(Cl)cn3)cc2s1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cc(F)cc4c3OCOC4)cc2s1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc4nc(N)sc4c3)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cc(-c4cccnc4)ccn3)cc2s1; [None]; [None]; [0]
-Cc1nc(-c2ccc3nc(N)sc3c2)c2sccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ncc4sccc4n3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ncc4cc(Cl)ccc4n3)cc2s1; [None]; [None]; [0]
-COc1ccc2nc(-c3ccc4nc(N)sc4c3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Nc1nc2ccc(C(=O)O)cc2s1']; [0.999763787]
-Nc1nc2ccc(-c3cccc(NC(=O)N4CCCC4)c3)cc2s1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
-Cn1cc(-c2ccc3nc(N)sc3c2)c2ccccc21; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(C(=O)[O-])c(Cl)c3)cc2s1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc3nc(N)sc3c2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999998689]
-Cc1n[nH]c2cc(-c3ccc4nc(N)sc4c3)ccc12; [None]; [None]; [0]
-Nc1nc2ccc(C3CCS(=O)(=O)CC3)cc2s1; [None]; [None]; [0]
-Cc1cc(-c2ccc3nc(N)sc3c2)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(C3CCC(F)(F)CC3)cc2s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3nc(N)sc3c2)c(OC)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3nc(N)sc3c2)c(Cl)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc2nc(N)sc2c1; ['Cc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999994755]
-CNC(=O)c1ccc(C)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3nc(N)sc3c2)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; ['Nc1nc2ccc(Br)cc2s1']; [0.999988914]
-Cn1c(-c2ccc3nc(N)sc3c2)nc2ccccc21; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Cc1ccccc1-c1ccc2nc(N)sc2c1; ['Cc1ccccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1nc2ccc(Br)cc2s1']; [0.999960184]
-Nc1nc2ccc(-c3cn[nH]c3Cl)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-n3ccc(CC(=O)[O-])c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(CCc3ccc(Cl)cc3)cc2s1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3c(Cl)ccc4c3OCO4)cc2s1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccc3nc(N)sc3c2)c[nH]1; [None]; [None]; [0]
-COCCCc1ccc2nc(N)sc2c1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc4nc(N)sc4c3)ccc12; [None]; [None]; [0]
-Nc1nc2ccc(-c3nnco3)cc2s1; [None]; [None]; [0]
-Cc1nnc(-c2ccc3nc(N)sc3c2)o1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cnc4[nH]ccc4c3)cc2s1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ncc(F)cn3)cc2s1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(Br)o3)cc2s1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1cc(-c2ccc3nc(N)sc3c2)n[nH]1; [None]; [None]; [0]
-Nc1nc2ccc(-c3nncs3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3cccc([O-])c3)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3[nH]nc4ccc(F)cc34)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(C(=O)NC4CC4)cc3)cc2s1; ['Nc1nc2ccc(Br)cc2s1']; ['O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999989867]
-Cc1n[nH]c(-c2ccc3nc(N)sc3c2)c1C; [None]; [None]; [0]
-Nc1nc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)cc2s1; [None]; [None]; [0]
-Cc1cc(-c2ccc3nc(N)sc3c2)ccc1C(N)=O; [None]; [None]; [0]
-Nc1nc2ccc(CCc3c[nH]c4ccccc34)cc2s1; [None]; [None]; [0]
-Nc1nc2ccc(OCc3cccc4ccccc34)cc2s1; ['ClCc1cccc2ccccc12']; ['Nc1nc2ccc(O)cc2s1']; [0.999407291]
-Nc1nc2ccc(OCc3ccc(F)cc3F)cc2s1; ['Fc1ccc(CBr)c(F)c1', 'Fc1ccc(CCl)c(F)c1']; ['Nc1nc2ccc(O)cc2s1', 'Nc1nc2ccc(O)cc2s1']; [0.999983788, 0.999983788]
-Nc1nc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)cc2s1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Oc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Nc1nc2ccc(CCc3ccc(F)cc3F)cc2s1; [None]; [None]; [0]
-c1cc(-c2n[nH]c3ncncc23)ccn1; [None]; [None]; [0]
-Cn1cc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1cc(-c2n[nH]c3ncncc23)c2cccnc2c1; [None]; [None]; [0]
-CCc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Oc1cc(-c2n[nH]c3ncncc23)ccc1Cl; [None]; [None]; [0]
-c1ncc2c(-c3cn[nH]c3)n[nH]c2n1; [None]; [None]; [0]
-c1ccc2c(-c3n[nH]c4ncncc34)n[nH]c2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Fc1cccc(F)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Cc1ccccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Cn1c(-c2n[nH]c3ncncc23)nc2ccccc21; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Fc1ccc(Oc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Cc1ncc(-c2n[nH]c3ncncc23)[nH]1; [None]; [None]; [0]
-Oc1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2n[nH]c3ncncc23)C1; [None]; [None]; [0]
-Clc1ccccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Clc1[nH]ncc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-c1ncc2c(-c3cc[nH]c3)n[nH]c2n1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3ncncc23)ccc1O; [None]; [None]; [0]
-N#Cc1cnc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-c1cnc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-N#Cc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2n[nH]c3ncncc23)o1; [None]; [None]; [0]
-N#Cc1ccc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-COc1cc(CCc2n[nH]c3ncncc23)ccc1O; [None]; [None]; [0]
-c1ncc2c(-c3ccoc3)n[nH]c2n1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-Clc1cccc(OCc2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-Brc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-OCCCc1n[nH]c2ncncc12; [None]; [None]; [0]
-c1csc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-Oc1ccc(-c2n[nH]c3ncncc23)c(O)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-c1cc(-c2n[nH]c3ncncc23)ncn1; [None]; [None]; [0]
-Clc1ccccc1OCc1n[nH]c2ncncc12; [None]; [None]; [0]
-Fc1ccc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1n[nH]c2ncncc12; [None]; [None]; [0]
-Clc1ccc(CCc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Cc1ccc(-c2n[nH]c3ncncc23)cc1C; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Clc1ccc2c(c1-c1n[nH]c3ncncc13)OCO2; [None]; [None]; [0]
-Oc1ncc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)cc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-O=c1ccccn1Cc1n[nH]c2ncncc12; [None]; [None]; [0]
-NC(=O)c1cc(-c2n[nH]c3ncncc23)c[nH]1; [None]; [None]; [0]
-COc1ccc(-c2n[nH]c3ncncc23)cc1OC; [None]; [None]; [0]
-COCCCc1n[nH]c2ncncc12; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
-c1ncc2c(-c3nnco3)n[nH]c2n1; [None]; [None]; [0]
-Cc1nc2ccc(-c3n[nH]c4ncncc34)cc2[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2n[nH]c3ncncc23)o1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1ncc2c(-c3cnc4[nH]ccc4c3)n[nH]c2n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1ccc2sc(-c3n[nH]c4ncncc34)nc2c1; [None]; [None]; [0]
-c1ncc2c(C3CCOCC3)n[nH]c2n1; [None]; [None]; [0]
-Oc1cncc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1n[nH]c2ncncc12; [None]; [None]; [0]
-O=C1Cc2cc(-c3n[nH]c4ncncc34)ccc2N1; [None]; [None]; [0]
-Fc1cnc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
-CNc1nccc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Brc1ccc(-c2n[nH]c3ncncc23)o1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-c1cn(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1n[nH]c2ncncc12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
-c1csc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
-Nc1cc(-c2n[nH]c3ncncc23)[nH]n1; [None]; [None]; [0]
-CCc1sccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Nc1cc(-c2n[nH]c3ncncc23)n[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-c1ncc2c(-c3ccc4c(c3)CCN4)n[nH]c2n1; [None]; [None]; [0]
-c1ncc2c(-c3nncs3)n[nH]c2n1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3n[nH]c4ncncc34)cc2[nH]1; [None]; [None]; [0]
-[O-]c1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-c1cc(Nc2n[nH]c3ncncc23)ccn1; [None]; [None]; [0]
-Cc1n[nH]c(-c2n[nH]c3ncncc23)c1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
-Cc1ccc(-c2n[nH]c3ncncc23)nc1C; [None]; [None]; [0]
-Cc1ccc(-c2n[nH]c3ncncc23)c(C)n1; [None]; [None]; [0]
-Cc1csc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1ncc2c(-c3cnco3)n[nH]c2n1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3n[nH]c4ncncc34)cc2o1; [None]; [None]; [0]
-Oc1c(F)cc(-c2n[nH]c3ncncc23)cc1F; [None]; [None]; [0]
-Cc1cc(-c2n[nH]c3ncncc23)ccc1C(N)=O; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-CSc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
-c1ccc2c(CCc3n[nH]c4ncncc34)c[nH]c2c1; [None]; [None]; [0]
-c1ccc2c(COc3n[nH]c4ncncc34)cccc2c1; [None]; [None]; [0]
-Fc1ccccc1Oc1n[nH]c2ncncc12; [None]; [None]; [0]
-c1ccc(COc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
-Fc1ccc(COc2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
-Fc1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
-Fc1ccc(CCc2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
-Fc1ccc(Cc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1n[nH]c2ncncc12; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1ccc2nc(-c3n[nH]c4ncncc34)ncc2c1; [None]; [None]; [0]
-CCOc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-COc1cccc(N2CCC(c3n[nH]c4ncncc34)CC2)c1; [None]; [None]; [0]
-COc1ncccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Cn1nncc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3ncncc23)cc(OC)c1OC; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-Cc1nn(C)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-c1cnn2c(-c3n[nH]c4ncncc34)cnc2c1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
-COc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1ncc2c(-c3ccc(N4CCOCC4)cc3)n[nH]c2n1; [None]; [None]; [0]
-Oc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3n[nH]c4ncncc34)nc2c1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Cc1cc(Nc2n[nH]c3ncncc23)sn1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2n[nH]c3ncncc23)c1)C1CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-c1ccc2c(Cc3n[nH]c4ncncc34)nccc2c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1cnc(Nc2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
-O=C(Nc1n[nH]c2ncncc12)C1CC1; [None]; [None]; [0]
-Clc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Fc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-c1cc(-c2n[nH]c3ncncc23)cc(C2CCNCC2)c1; [None]; [None]; [0]
-OCCOc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2n[nH]c3ncncc23)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2n[nH]c3ncncc23)nc1)N1CCOCC1; [None]; [None]; [0]
-c1cc(Nc2n[nH]c3ncncc23)ncn1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]c3ncncc23)nn1C; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1ccc(Cc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cc1n[nH]c2ncncc12; [None]; [None]; [0]
-Oc1ccccc1Cc1n[nH]c2ncncc12; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1cc(Cc2n[nH]c3ncncc23)ccn1; [None]; [None]; [0]
-c1ncc2c(C3CCCCC3)n[nH]c2n1; [None]; [None]; [0]
-Cc1nc(C)c(-c2n[nH]c3ncncc23)s1; [None]; [None]; [0]
-c1ncc(Cc2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
-c1cncc(Cc2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-OC[C@@H](O)Cc1n[nH]c2ncncc12; [None]; [None]; [0]
-Nc1ncc(Cc2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2n[nH]c3ncncc23)C1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1ncc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-Clc1ncc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-CN(C)c1ccc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
-Brc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-c1ccc2c(-c3n[nH]c4ncncc34)c[nH]c2c1; [None]; [None]; [0]
-COc1ccc(Cc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-COc1cc(OC)c(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
-c1c[nH]c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]c3ncncc23)sn1; [None]; [None]; [0]
-c1ncc2c(-c3ccc4c(c3)CCO4)n[nH]c2n1; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3n[nH]c4ncncc34)n[nH]2)cc1; [None]; [None]; [0]
-c1cn(Cc2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-c1ccc2cc(-c3n[nH]c4ncncc34)ncc2c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-c1cc2c(c(-c3n[nH]c4ncncc34)c1)OCO2; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3n[nH]c4ncncc34)CC2)c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
-c1ncc2c(-c3scc4c3OCCO4)n[nH]c2n1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1n[nH]c2ncncc12; [None]; [None]; [0]
-Fc1ccc(-c2n[nH]c3ncncc23)cc1F; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1ccc2ncc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-COCCOc1n[nH]c2ncncc12; [None]; [None]; [0]
-CC1(COc2n[nH]c3ncncc23)COC1; [None]; [None]; [0]
-c1coc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3n[nH]c4ncncc34)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]c3ncncc23)nc(N)n1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1n[nH]c2ncncc12; [None]; [None]; [0]
-O[C@@H]1CC[C@H](c2n[nH]c3ncncc23)C1; [None]; [None]; [0]
-Brc1cnc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
-CCCCCc1n[nH]c2ncncc12; [None]; [None]; [0]
-CC[NH+](CC)c1n[nH]c2ncncc12; [None]; [None]; [0]
-COc1ccc(CNc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Clc1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
-c1ncc2c(-c3ccsc3)n[nH]c2n1; [None]; [None]; [0]
-c1cc2cnc(-c3n[nH]c4ncncc34)nn2c1; [None]; [None]; [0]
-c1ncc2c(CCCn3cncn3)n[nH]c2n1; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3ncncc23)ccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2n[nH]c3ncncc23)c(C(F)(F)F)n1; [None]; [None]; [0]
-c1ccn2nc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-c1ncc2c(-c3ccc(N4CCCCC4)cc3)n[nH]c2n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3n[nH]c4ncncc34)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2n[nH]c3ncncc23)cc1OC; [None]; [None]; [0]
-Oc1ccc2cccc(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
-Clc1cnc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
-Cc1csc2c(-c3n[nH]c4ncncc34)ncnc12; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3ncncc23)ccc1Cl; [None]; [None]; [0]
-Cc1cc(Nc2n[nH]c3ncncc23)nn1C; [None]; [None]; [0]
-Cc1nc(Nc2n[nH]c3ncncc23)sc1C; [None]; [None]; [0]
-c1cc(-c2n[nH]c3ncncc23)cc(-n2nccn2)c1; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3ncncc23)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-Cc1ccc(-c2n[nH]c3ncncc23)o1; [None]; [None]; [0]
-O=C(Nc1n[nH]c2ncncc12)c1ccco1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-Fc1cc2c(c(-c3n[nH]c4ncncc34)c1)OCOC2; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
-c1ncc2c(-c3ccc4cn[nH]c4c3)n[nH]c2n1; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-CC(C)Oc1n[nH]c2ncncc12; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3n[nH]c4ncncc34)c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-CCn1cc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-Cc1nc(-c2n[nH]c3ncncc23)c2sccc2n1; [None]; [None]; [0]
-c1ccc2oc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-c1ncc2c(-c3ncc4sccc4n3)n[nH]c2n1; [None]; [None]; [0]
-COC(=O)Nc1n[nH]c2ncncc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2n[nH]c3ncncc23)c1)N1CCCC1; [None]; [None]; [0]
-Clc1ccc2nc(-c3n[nH]c4ncncc34)ncc2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-FC(F)(F)Oc1n[nH]c2ncncc12; [None]; [None]; [0]
-COc1ccc2nc(-c3n[nH]c4ncncc34)[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-c2n[nH]c3ncncc23)c2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
-CCc1cccc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
-c1ncc2c(-c3cscn3)n[nH]c2n1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]c3ncncc23)cc(C)c1OCCO; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3n[nH]c4ncncc34)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-C[NH+](C)CCCc1n[nH]c2ncncc12; [None]; [None]; [0]
-FC1(F)CCC(c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
-OCCc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-O=S1(=O)CCC(c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-c1ncc2c(CC3CCOCC3)n[nH]c2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2n[nH]c3ncncc23)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-c1ccc(Nc2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1n[nH]c2ncncc12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-Fc1ccc(Nc2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-CCOc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-N#Cc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-COc1cccc(N2CCC(n3ncnn3)CC2)c1; [None]; [None]; [0]
-c1ccc2nc(-n3ncnn3)ncc2c1; [None]; [None]; [0]
-Cc1n[nH]cc1-n1ncnn1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-n2ncnn2)c1; [None]; [None]; [0]
-COc1ncccc1-n1ncnn1; [None]; [None]; [0]
-Cn1nncc1-n1ncnn1; [None]; [None]; [0]
-COc1cc(-n2ncnn2)cc(OC)c1OC; [None]; [None]; [0]
-Cn1cc(-n2ncnn2)cn1; [None]; [None]; [0]
-Cc1nn(C)cc1-n1ncnn1; [None]; [None]; [0]
-c1cnn2c(-n3ncnn3)cnc2c1; [None]; [None]; [0]
-Oc1cccc(-n2ncnn2)c1; [None]; [None]; [0]
-c1nnn(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
-COc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2ncnn2)c1)C1CC1; [None]; [None]; [0]
-c1ccc2[nH]c(-n3ncnn3)nc2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-n2ncnn2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-O=C([O-])c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-c1cnc(Nn2ncnn2)nc1; [None]; [None]; [0]
-c1ccc2c(Cn3ncnn3)nccc2c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-Fc1cccc(-n2ncnn2)c1; ['OB(O)c1cccc(F)c1']; ['c1nnn[nH]1']; [0.997776926]
-Clc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-OCCOc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-n2ncnn2)cc1)N1CCOCC1; [None]; [None]; [0]
-c1cc(C2CCNCC2)cc(-n2ncnn2)c1; [None]; [None]; [0]
-O=C(c1ccc(-n2ncnn2)nc1)N1CCOCC1; [None]; [None]; [0]
-Cc1cc(-n2ncnn2)nn1C; [None]; [None]; [0]
-c1ccc(Cn2ncnn2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cn1ncnn1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-c1nnn(C2CCCCC2)n1; [None]; [None]; [0]
-Oc1ccccc1Cn1ncnn1; [None]; [None]; [0]
-Cc1nc(C)c(-n2ncnn2)s1; [None]; [None]; [0]
-c1cncc(Cn2ncnn2)c1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(n2ncnn2)CC1; [None]; [None]; [0]
-c1cc(Cn2ncnn2)ccn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](n2ncnn2)C1; [None]; [None]; [0]
-Nc1ncc(Cn2ncnn2)cn1; [None]; [None]; [0]
-c1ncc(-n2ncnn2)cn1; [None]; [None]; [0]
-c1ncc(Cn2ncnn2)cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-Brc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-Clc1ncc(-n2ncnn2)cn1; [None]; [None]; [0]
-CN(C)c1ccc(-n2ncnn2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-n1ncnn1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-n1ncnn1; [None]; [None]; [0]
-c1nnn(-c2cn[nH]c2)n1; [None]; [None]; [0]
-c1c[nH]c(-n2ncnn2)c1; [None]; [None]; [0]
-COc1ccc(Cn2ncnn2)cc1; [None]; [None]; [0]
-c1ccc2c(-n3ncnn3)c[nH]c2c1; [None]; [None]; [0]
-COc1cc(OC)c(-n2ncnn2)cc1Cl; [None]; [None]; [0]
-c1cc(N2CCOCC2)cc(-n2ncnn2)n1; [None]; [None]; [0]
-Cc1cc(-n2ncnn2)sn1; [None]; [None]; [0]
-c1nnn(-c2ccc3c(c2)CCO3)n1; [None]; [None]; [0]
-c1ccc2cc(-n3ncnn3)ncc2c1; [None]; [None]; [0]
-c1cn(Cn2ncnn2)cn1; [None]; [None]; [0]
-c1ccc(-c2cc(-n3ncnn3)n[nH]2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(n3ncnn3)CC2)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-n2ncnn2)c1; [None]; [None]; [0]
-c1nnn(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
-COc1cc(-n2ncnn2)ccc1O; [None]; [None]; [0]
-c1cc2c(c(-n3ncnn3)c1)OCO2; [None]; [None]; [0]
-c1ccc(Oc2ncccc2-n2ncnn2)cc1; [None]; [None]; [0]
-Fc1ccc(-n2ncnn2)cc1F; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](n2ncnn2)CC1; [None]; [None]; [0]
-c1ccc2ncc(-n3ncnn3)cc2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](n2ncnn2)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-n2ncnn2)cn1; [None]; [None]; [0]
-c1coc(-n2ncnn2)c1; [None]; [None]; [0]
-COc1cccc(C(=O)Nn2ncnn2)c1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-n1ncnn1; [None]; [None]; [0]
-CSc1cccc(-n2ncnn2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-n3ncnn3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-n2ncnn2)nc(N)n1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)n1ncnn1; [None]; [None]; [0]
-c1nnn(C2CCOCC2)n1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](n2ncnn2)CC1; [None]; [None]; [0]
-CCCCCn1ncnn1; [None]; [None]; [0]
-O[C@@H]1CC[C@H](n2ncnn2)C1; [None]; [None]; [0]
-Fc1ccc(-n2ncnn2)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(-n2ncnn2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-n2ncnn2)cc1; ['CCc1ccc(B(O)O)cc1']; ['c1nnn[nH]1']; [0.988013]
-c1ncn(CCCn2ncnn2)n1; [None]; [None]; [0]
-Brc1cnc(-n2ncnn2)nc1; [None]; [None]; [0]
-c1nnn(-c2ccsc2)n1; [None]; [None]; [0]
-COc1cc(-n2ncnn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Clc1ccc(-n2ncnn2)c(Cl)c1; [None]; [None]; [0]
-c1ccn2nc(-n3ncnn3)cc2c1; [None]; [None]; [0]
-c1cc2cnc(-n3ncnn3)nn2c1; [None]; [None]; [0]
-Cc1cc(C)cc(-n2ncnn2)c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-n3ncnn3)ccc2O1; [None]; [None]; [0]
-Cn1cc(-n2ncnn2)c(C(F)(F)F)n1; [None]; [None]; [0]
-Oc1ccc2cccc(-n3ncnn3)c2c1; [None]; [None]; [0]
-COc1ccc2cccc(-n3ncnn3)c2c1; [None]; [None]; [0]
-COc1cc(-n2ncnn2)ccc1Cl; [None]; [None]; [0]
-Clc1cnc(-n2ncnn2)nc1; [None]; [None]; [0]
-c1nnn(-c2ccc(N3CCCCC3)cc2)n1; [None]; [None]; [0]
-c1cc(-n2nccn2)cc(-n2ncnn2)c1; [None]; [None]; [0]
-COc1cc(F)c(-n2ncnn2)cc1OC; [None]; [None]; [0]
-Cc1ccc(-n2ncnn2)o1; [None]; [None]; [0]
-COc1ccc(OC)c(Cn2ncnn2)c1; [None]; [None]; [0]
-Cc1csc2c(-n3ncnn3)ncnc12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](n2ncnn2)CC1; [None]; [None]; [0]
-NC(=O)c1ccc(Cn2ncnn2)cc1; [None]; [None]; [0]
-COc1cc(-n2ncnn2)c(OC)cc1Br; [None]; [None]; [0]
-CCNC(=O)N1CCC(n2ncnn2)CC1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cn2ncnn2)cc1; [None]; [None]; [0]
-Fc1cc2c(c(-n3ncnn3)c1)OCOC2; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](n2ncnn2)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-n2ncnn2)c1; [None]; [None]; [0]
-COc1ccc2oc(-n3ncnn3)cc2c1; [None]; [None]; [0]
-c1nnn(-c2ccc3cn[nH]c3c2)n1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-n3ncnn3)c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-n2ncnn2)c1; [None]; [None]; [0]
-c1ccc2oc(-n3ncnn3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-Cc1nc(-n2ncnn2)c2sccc2n1; [None]; [None]; [0]
-Clc1ccc2nc(-n3ncnn3)ncc2c1; [None]; [None]; [0]
-c1nnn(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-n1ncnn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-COc1ccc2nc(-n3ncnn3)[nH]c2c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-n2ncnn2)cc1Cl; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-n2ncnn2)cc1; ['OB(O)c1ccc(OC(F)(F)F)cc1']; ['c1nnn[nH]1']; [0.999915123]
-O=C(Nc1cccc(-n2ncnn2)c1)N1CCCC1; [None]; [None]; [0]
-CCc1cccc(-n2ncnn2)n1; [None]; [None]; [0]
-c1nnn(-c2cscn2)n1; [None]; [None]; [0]
-Cn1cc(-n2ncnn2)c2ccccc21; [None]; [None]; [0]
-Cc1ccc(-n2ncnn2)nc1C; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-n2ncnn2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-n2ncnn2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-n3ncnn3)ccc12; [None]; [None]; [0]
-Cc1cc(-n2ncnn2)cc(C)c1OCCO; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-n2ncnn2)c1; [None]; [None]; [0]
-C[NH+](C)CCCn1ncnn1; [None]; [None]; [0]
-FC1(F)CCC(n2ncnn2)CC1; [None]; [None]; [0]
-O=S1(=O)CCC(n2ncnn2)CC1; [None]; [None]; [0]
-OCCc1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-c1nnn(CC2CCOCC2)n1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-n1ncnn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-n2ncnn2)c(Cl)c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-n1ncnn1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-n1ncnn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2ncnn2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-n2ncnn2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-n2ncnn2)c1; [None]; [None]; [0]
-Oc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-n2ncnn2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-n1ncnn1; [None]; [None]; [0]
-c1ccn2c(-c3ccncc3)nnc2c1; ['NNc1ccccn1', 'Ic1ccncc1']; ['O=C(O)c1ccncc1', 'c1ccn2cnnc2c1']; [0.999955297, 0.999955297]
-c1ccc(-c2nnc3ccccn23)cc1; ['NNc1ccccn1']; ['O=C(O)c1ccccc1']; [0.998394191]
-c1cc(-c2nnc3ccccn23)c2cccnc2c1; ['Brc1nnc2ccccn12']; ['OB(O)c1cccc2ncccc12']; [0.999918103]
-c1ccn2c(-c3cn[nH]c3)nnc2c1; ['NNc1ccccn1']; ['O=C(O)c1cn[nH]c1']; [0.999238968]
-Cn1cc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1nnc2ccccn12; ['Fc1cccc(F)c1Br']; ['c1ccn2cnnc2c1']; [0.999504805]
-CCc1ccc(-c2nnc3ccccn23)cc1; ['CCc1ccc(I)cc1']; ['c1ccn2cnnc2c1']; [0.999375761]
-Oc1cc(-c2nnc3ccccn23)ccc1Cl; [None]; [None]; [0]
-c1ccc2c(-c3nnc4ccccn34)n[nH]c2c1; [None]; [None]; [0]
-Cn1c(-c2nnc3ccccn23)nc2ccccc21; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1nnc2ccccn12; ['Cc1cc(F)ccc1I']; ['c1ccn2cnnc2c1']; [0.998990953]
-CNS(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1nnc2ccccn12; [None]; [None]; [0]
-Cc1ccccc1-c1nnc2ccccn12; ['Cc1ccccc1C(=O)O', 'Cc1ccccc1I']; ['NNc1ccccn1', 'c1ccn2cnnc2c1']; [0.999882, 0.999882]
-Fc1ccc(Oc2nnc3ccccn23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
-Oc1ccc(-c2nnc3ccccn23)c(Cl)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nnc3ccccn23)cc1; ['NC(=O)c1ccc(Br)cc1']; ['c1ccn2cnnc2c1']; [0.998643339]
-Nc1nccc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1nnc2ccccn12; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2nnc3ccccn23)C1; [None]; [None]; [0]
-Cc1ncc(-c2nnc3ccccn23)[nH]1; [None]; [None]; [0]
-c1ccn2c(-c3cc[nH]c3)nnc2c1; ['NNc1ccccn1']; ['O=C(O)c1cc[nH]c1']; [0.995031238]
-Clc1ccccc1-c1nnc2ccccn12; ['NNc1ccccn1', 'Clc1ccccc1I']; ['O=C(O)c1ccccc1Cl', 'c1ccn2cnnc2c1']; [0.999827325, 0.999827325]
-O=C([O-])c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-COc1cc(-c2nnc3ccccn23)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O']; ['c1ccn2cnnc2c1', 'c1ccn2cnnc2c1']; [0.99823463, 0.99823463]
-N#Cc1ccc(-c2nnc3ccccn23)cc1; ['N#Cc1ccc(I)cc1']; ['c1ccn2cnnc2c1']; [0.999948382]
-N#Cc1cnc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
-c1ccn2c(-c3cnccn3)nnc2c1; [None]; [None]; [0]
-c1ccn2c(-c3ccoc3)nnc2c1; ['Brc1nnc2ccccn12', 'Brc1ccoc1']; ['OB(O)c1ccoc1', 'c1ccn2cnnc2c1']; [0.999990106, 0.999990106]
-COc1cc(CCc2nnc3ccccn23)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2nnc3ccccn23)o1; [None]; [None]; [0]
-Clc1cccc(OCc2nnc3ccccn23)c1; [None]; [None]; [0]
-Brc1cccc(-c2nnc3ccccn23)c1; ['Brc1cccc(I)c1']; ['c1ccn2cnnc2c1']; [0.999517798]
-N#Cc1ccc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
-OCCCc1nnc2ccccn12; [None]; [None]; [0]
-c1csc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-Fc1ccc(-c2nnc3ccccn23)cc1Cl; ['Brc1nnc2ccccn12', 'NNc1ccccn1']; ['OB(O)c1ccc(F)c(Cl)c1', 'O=C(O)c1ccc(F)c(Cl)c1']; [0.999954462, 0.999954462]
-c1ccn2c(-c3ccncn3)nnc2c1; [None]; [None]; [0]
-Oc1ccc(-c2nnc3ccccn23)c(O)c1; [None]; [None]; [0]
-Clc1ccccc1OCc1nnc2ccccn12; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1nnc2ccccn12; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1nnc2ccccn12; [None]; [None]; [0]
-Clc1ccc(CCc2nnc3ccccn23)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1nnc2ccccn12; [None]; [None]; [0]
-Cc1ccc(-c2nnc3ccccn23)cc1C; ['Cc1ccc(I)cc1C', 'Cc1ccc(C(=O)O)cc1C']; ['c1ccn2cnnc2c1', 'NNc1ccccn1']; [0.998953223, 0.998953223]
-Clc1ccc2c(c1-c1nnc3ccccn13)OCO2; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1nnc2ccccn12; [None]; [None]; [0]
-NC(=O)c1cc(-c2nnc3ccccn23)c[nH]1; [None]; [None]; [0]
-O=c1ccccn1Cc1nnc2ccccn12; [None]; [None]; [0]
-COc1ccc(-c2nnc3ccccn23)cc1OC; ['COc1ccc(I)cc1OC']; ['c1ccn2cnnc2c1']; [0.999438]
-Oc1ncc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)cc(-c2nnc3ccccn23)c1; ['COc1cc(I)cc(OC)c1']; ['c1ccn2cnnc2c1']; [0.999867797]
-COCCCc1nnc2ccccn12; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3nnc4ccccn34)ccc12; [None]; [None]; [0]
-c1ccn2c(-c3nnco3)nnc2c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3nnc4ccccn34)cc2[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2nnc3ccccn23)o1; [None]; [None]; [0]
-c1ccn2c(-c3cnc4[nH]ccc4c3)nnc2c1; [None]; [None]; [0]
-c1ccn2c(C3CCOCC3)nnc2c1; ['NNc1ccccn1']; ['O=C(Cl)C1CCOCC1']; [0.999336898]
-NC(=O)Nc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; ['Brc1nnc2ccccn12']; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999797761]
-Oc1cncc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-c1ccc2sc(-c3nnc4ccccn34)nc2c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2nnc3ccccn23)CC1; [None]; [None]; [0]
-O=C1Cc2cc(-c3nnc4ccccn34)ccc2N1; [None]; [None]; [0]
-Fc1cnc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1nnc2ccccn12; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
-CNc1nccc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
-Brc1ccc(-c2nnc3ccccn23)o1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1nnc2ccccn12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
-CCc1sccc1-c1nnc2ccccn12; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1nnc2ccccn12; [None]; [None]; [0]
-Cc1cccc(C)c1-c1nnc2ccccn12; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
-c1ccn2c(-c3nccs3)nnc2c1; [None]; [None]; [0]
-c1ccn2c(-n3ccnc3)nnc2c1; [None]; [None]; [0]
-Nc1cc(-c2nnc3ccccn23)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2nnc3ccccn23)n[nH]1; [None]; [None]; [0]
-c1ccn2c(-c3ccc4c(c3)CCN4)nnc2c1; [None]; [None]; [0]
-c1ccn2c(-c3nncs3)nnc2c1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3nnc4ccccn34)cc2[nH]1; ['NNc1ccccn1']; ['O=C(O)c1ccc2[nH]c(=O)[nH]c2c1']; [0.999401093]
-Cn1ncc(N)c1-c1nnc2ccccn12; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1nnc2ccccn12; ['NNc1ccccn1', 'Fc1cc(Br)ccc1Br']; ['O=C(O)c1ccc(Br)cc1F', 'c1ccn2cnnc2c1']; [0.999860525, 0.999860525]
-c1ccn2c(Nc3ccncc3)nnc2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2nnc3ccccn23)c1C; [None]; [None]; [0]
-[O-]c1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nnc3ccccn23)cc1; ['Brc1nnc2ccccn12']; ['CNC(=O)c1ccc(B(O)O)cc1']; [0.999909878]
-Cc1ccc(-c2nnc3ccccn23)c(C)n1; ['Cc1ccc(C(=O)O)c(C)n1']; ['NNc1ccccn1']; [0.999817908]
-Cc1csc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
-Cc1ccc(-c2nnc3ccccn23)nc1C; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1ccn2c(-c3cnco3)nnc2c1; [None]; [None]; [0]
-Cc1cc(-c2nnc3ccccn23)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3nnc4ccccn34)cc2o1; [None]; [None]; [0]
-Oc1c(F)cc(-c2nnc3ccccn23)cc1F; [None]; [None]; [0]
-CSc1cccc(-c2nnc3ccccn23)c1; ['CSc1cccc(C(=O)O)c1', 'Brc1nnc2ccccn12']; ['NNc1ccccn1', 'CSc1cccc(B(O)O)c1']; [0.999560297, 0.999560297]
-O=c1[nH][nH]c2cc(-c3nnc4ccccn34)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1ccc2c(COc3nnc4ccccn34)cccc2c1; ['BrCc1cccc2ccccc12']; ['Oc1nnc2ccccn12']; [0.996428668]
-c1ccc(COc2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1ccc2c(CCc3nnc4ccccn34)c[nH]c2c1; [None]; [None]; [0]
-Fc1ccc(Oc2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1nnc2ccccn12; ['Cc1onc(-c2ccccc2)c1I']; ['c1ccn2cnnc2c1']; [0.997623861]
-Fc1ccc(COc2nnc3ccccn23)c(F)c1; ['Fc1ccc(CCl)c(F)c1']; ['Oc1nnc2ccccn12']; [0.998207927]
-Fc1ccc(-c2nnc3ccccn23)c(Cl)c1; ['NNc1ccccn1', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1']; ['O=C(O)c1ccc(F)cc1Cl', 'c1ccn2cnnc2c1', 'c1ccn2cnnc2c1']; [0.999976397, 0.999976397, 0.999976397]
-Fc1ccc(Cc2nnc3ccccn23)cc1; ['NNc1ccccn1']; ['O=C(O)Cc1ccc(F)cc1']; [0.999976754]
-Fc1ccccc1Oc1nnc2ccccn12; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1nnc2ccccn12; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-Fc1ccc(CCc2nnc3ccccn23)c(F)c1; ['NNc1ccccn1']; ['O=C(O)CCc1ccc(F)cc1F']; [0.999995589]
-c1ccc2nc(-c3nnc4ccccn34)ncc2c1; [None]; [None]; [0]
-COc1ncccc1-c1nnc2ccccn12; ['COc1ncccc1I']; ['c1ccn2cnnc2c1']; [0.98535651]
-COc1cccc(N2CCC(c3nnc4ccccn34)CC2)c1; ['COc1cccc(I)c1', 'COc1cccc(F)c1']; ['c1ccn2c(C3CCNCC3)nnc2c1', 'c1ccn2c(C3CCNCC3)nnc2c1']; [0.999937773, 0.999937773]
-CS(=O)(=O)c1cccc(-c2nnc3ccccn23)c1; ['Brc1nnc2ccccn12']; ['CS(=O)(=O)c1cccc(B(O)O)c1']; [0.999926686]
-CCOc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-COc1cc(-c2nnc3ccccn23)cc(OC)c1OC; ['COc1cc(C(=O)O)cc(OC)c1OC']; ['NNc1ccccn1']; [0.999331236]
-Cc1ccc2ncn(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
-Cc1n[nH]cc1-c1nnc2ccccn12; [None]; [None]; [0]
-Oc1cccc(-c2nnc3ccccn23)c1; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1']; ['c1ccn2cnnc2c1', 'c1ccn2cnnc2c1']; [0.991328299, 0.991328299]
-c1ccn2c(-c3cnc4cccnn34)nnc2c1; [None]; [None]; [0]
-Cn1nncc1-c1nnc2ccccn12; [None]; [None]; [0]
-c1ccn2c(-c3ccc(N4CCOCC4)cc3)nnc2c1; ['Brc1nnc2ccccn12']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.999996662]
-Cc1nn(C)cc1-c1nnc2ccccn12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nnc3ccccn23)c1)C1CC1; [None]; [None]; [0]
-Cc1cc(Nc2nnc3ccccn23)sn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1nnc2ccccn12; [None]; [None]; [0]
-COc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1cnc(Nc2nnc3ccccn23)nc1; ['Brc1nnc2ccccn12']; ['Nc1ncccn1']; [0.998170495]
-c1ccc2[nH]c(-c3nnc4ccccn34)nc2c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1ccc2c(Cc3nnc4ccccn34)nccc2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
-Fc1cccc(-c2nnc3ccccn23)c1; ['NNc1ccccn1']; ['O=C(O)c1cccc(F)c1']; [0.999733031]
-O=C(Nc1nnc2ccccn12)C1CC1; [None]; [None]; [0]
-Clc1ccc(-c2nnc3ccccn23)cc1; ['NNc1ccccn1']; ['O=C(O)c1ccc(Cl)cc1']; [0.999722302]
-OCCOc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1cc(-c2nnc3ccccn23)cc(C2CCNCC2)c1; [None]; [None]; [0]
-O=C(c1ccc(-c2nnc3ccccn23)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2nnc3ccccn23)nc1)N1CCOCC1; [None]; [None]; [0]
-c1ccn2c(Nc3ccncn3)nnc2c1; [None]; [None]; [0]
-c1ccc(Cc2nnc3ccccn23)cc1; ['NNc1ccccn1']; ['O=C(O)Cc1ccccc1']; [0.999746859]
-C[C@H](O)COc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-Cc1cc(-c2nnc3ccccn23)nn1C; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2nnc3ccccn23)cc1; ['FC(F)(F)c1ccc(I)cc1']; ['c1ccn2cnnc2c1']; [0.999979258]
-CNS(=O)(=O)Cc1nnc2ccccn12; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nnc3ccccn23)cc1; ['Brc1nnc2ccccn12']; ['CN(C)c1ccc(B(O)O)cc1']; [0.999970555]
-Oc1ccccc1Cc1nnc2ccccn12; [None]; [None]; [0]
-Cc1nc(C)c(-c2nnc3ccccn23)s1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1ccn2c(Cc3ccncc3)nnc2c1; ['NNc1ccccn1']; ['O=C(O)Cc1ccncc1']; [0.999905467]
-c1ccn2c(C3CCCCC3)nnc2c1; ['NNc1ccccn1']; ['O=C(O)C1CCCCC1']; [0.999384046]
-CS(=O)(=O)N1CCC(c2nnc3ccccn23)CC1; []; []; []
-c1cncc(Cc2nnc3ccccn23)c1; ['NNc1ccccn1']; ['O=C(O)Cc1cccnc1']; [0.999973655]
-c1ccn2c(Cc3cncnc3)nnc2c1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2nnc3ccccn23)C1; [None]; [None]; [0]
-Nc1ncc(Cc2nnc3ccccn23)cn1; [None]; [None]; [0]
-Clc1ncc(-c2nnc3ccccn23)cn1; ['Clc1ncc(Br)cn1']; ['c1ccn2cnnc2c1']; [0.991854429]
-OC[C@@H](O)Cc1nnc2ccccn12; [None]; [None]; [0]
-c1ccn2c(-c3cncnc3)nnc2c1; ['NNc1ccccn1', 'Brc1cncnc1']; ['O=C(O)c1cncnc1', 'c1ccn2cnnc2c1']; [0.999406338, 0.999406338]
-Brc1ccc(-c2nnc3ccccn23)cc1; ['Brc1ccc(I)cc1']; ['c1ccn2cnnc2c1']; [0.999922276]
-Cc1c(C(=O)[O-])cccc1-c1nnc2ccccn12; [None]; [None]; [0]
-COc1ccc(Cc2nnc3ccccn23)cc1; ['COc1ccc(CC(=O)O)cc1']; ['NNc1ccccn1']; [0.999912262]
-COc1ccc(Cl)cc1-c1nnc2ccccn12; ['COc1ccc(Cl)cc1I']; ['c1ccn2cnnc2c1']; [0.999649405]
-CCNS(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1c[nH]c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)c(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
-c1ccn2c(-c3ccc4c(c3)CCO4)nnc2c1; ['Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2']; ['c1ccn2cnnc2c1', 'c1ccn2cnnc2c1']; [0.999920726, 0.999920726]
-c1ccn2c(-c3cc(N4CCOCC4)ccn3)nnc2c1; [None]; [None]; [0]
-c1ccc2c(-c3nnc4ccccn34)c[nH]c2c1; [None]; [None]; [0]
-c1ccc2cc(-c3nnc4ccccn34)ncc2c1; [None]; [None]; [0]
-Cc1cc(-c2nnc3ccccn23)sn1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3nnc4ccccn34)n[nH]2)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(c3nnc4ccccn34)CC2)c1; ['COc1cccc(C(=O)O)c1']; ['c1ccn2c(C3CCNCC3)nnc2c1']; [0.999947906]
-c1cc2c(c(-c3nnc4ccccn34)c1)OCO2; ['NNc1ccccn1']; ['O=C(O)c1cccc2c1OCO2']; [0.999947906]
-c1ccn2c(Cn3ccnc3)nnc2c1; ['NNc1ccccn1']; ['O=C(O)Cn1ccnc1']; [0.999373376]
-CC(=O)Nc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Nc1nnc2ccccn12; [None]; [None]; [0]
-c1ccn2c(-c3scc4c3OCCO4)nnc2c1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](c2nnc3ccccn23)CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nnc3ccccn23)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1']; ['NNc1ccccn1']; [0.999834061]
-Fc1ccc(-c2nnc3ccccn23)cc1F; ['Fc1ccc(I)cc1F']; ['c1ccn2cnnc2c1']; [0.999839544]
-c1ccc(Oc2ncccc2-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1ccc2ncc(-c3nnc4ccccn34)cc2c1; ['OB(O)c1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['c1ccn2cnnc2c1', 'c1ccn2cnnc2c1']; [0.999924302, 0.999924302]
-CC(C)(C)c1ccc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-COCCOc1nnc2ccccn12; ['Brc1nnc2ccccn12']; ['COCCO']; [0.957203746]
-COc1cc(N2CCOCC2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2nnc3ccccn23)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2nnc3ccccn23)c1; [None]; [None]; [0]
-c1coc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-CC1(COc2nnc3ccccn23)COC1; [None]; [None]; [0]
-O[C@@H]1CC[C@@H](c2nnc3ccccn23)CC1; [None]; [None]; [0]
-Cc1cc(-c2nnc3ccccn23)nc(N)n1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3nnc4ccccn34)cc2)CC1; [None]; [None]; [0]
-CCCCCc1nnc2ccccn12; ['CCCCCC(=O)O']; ['NNc1ccccn1']; [0.999995112]
-O[C@@H]1CC[C@H](c2nnc3ccccn23)C1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1nnc2ccccn12; [None]; [None]; [0]
-Brc1cnc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
-CC[NH+](CC)c1nnc2ccccn12; [None]; [None]; [0]
-COc1ccc(CNc2nnc3ccccn23)cc1; ['Brc1nnc2ccccn12']; ['COc1ccc(CN)cc1']; [0.997279882]
-Clc1ccc(-c2nnc3ccccn23)c(Cl)c1; ['NNc1ccccn1', 'Clc1ccc(I)c(Cl)c1']; ['O=C(O)c1ccc(Cl)cc1Cl', 'c1ccn2cnnc2c1']; [0.999962449, 0.999962449]
-c1ccn2c(-c3ccsc3)nnc2c1; [None]; [None]; [0]
-c1ccn2c(-c3ncc4cccn4n3)nnc2c1; [None]; [None]; [0]
-c1ccn2c(CCCn3cncn3)nnc2c1; [None]; [None]; [0]
-COc1cc(-c2nnc3ccccn23)ccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2nnc3ccccn23)c(C(F)(F)F)n1; [None]; [None]; [0]
-c1ccn2c(-c3ccc(N4CCCCC4)cc3)nnc2c1; ['NNc1ccccn1']; ['O=C(O)c1ccc(N2CCCCC2)cc1']; [0.998749614]
-c1ccn2nc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
-Cc1cc(C)cc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3nnc4ccccn34)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2nnc3ccccn23)cc1OC; [None]; [None]; [0]
-COc1cc(-c2nnc3ccccn23)ccc1Cl; ['COc1cc(C(=O)O)ccc1Cl']; ['NNc1ccccn1']; [0.999577582]
-Oc1ccc2cccc(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
-Cc1csc2c(-c3nnc4ccccn34)ncnc12; [None]; [None]; [0]
-Clc1cnc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
-Cc1nc(Nc2nnc3ccccn23)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2nnc3ccccn23)nn1C; [None]; [None]; [0]
-COc1cc(-c2nnc3ccccn23)c(OC)cc1Br; ['COc1cc(Br)c(OC)cc1Br']; ['c1ccn2cnnc2c1']; [0.997417927]
-c1cc(-c2nnc3ccccn23)cc(-n2nccn2)c1; [None]; [None]; [0]
-Cc1ccc(-c2nnc3ccccn23)o1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2nnc3ccccn23)cc1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2nnc3ccccn23)c1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2nnc3ccccn23)CC1; []; []; []
-NC(=O)c1ccc(Cc2nnc3ccccn23)cc1; [None]; [None]; [0]
-O=C(Nc1nnc2ccccn12)c1ccco1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2nnc3ccccn23)CC1; [None]; [None]; [0]
-Fc1cc2c(c(-c3nnc4ccccn34)c1)OCOC2; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](c2nnc3ccccn23)CC1; [None]; [None]; [0]
-COc1ccc2oc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1ccn2c(-c3ccc4cn[nH]c4c3)nnc2c1; ['Brc1ccc2cn[nH]c2c1']; ['c1ccn2cnnc2c1']; [0.998748064]
-CCn1cc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
-CC(C)Oc1nnc2ccccn12; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-c1ccc2oc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3nnc4ccccn34)c2)c1; [None]; [None]; [0]
-COC(=O)Nc1nnc2ccccn12; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1nnc2ccccn12; [None]; [None]; [0]
-Cc1nc(-c2nnc3ccccn23)c2sccc2n1; [None]; [None]; [0]
-c1ccn2c(-c3ncc4sccc4n3)nnc2c1; [None]; [None]; [0]
-Clc1ccc2nc(-c3nnc4ccccn34)ncc2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1nnc2ccccn12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3nnc4ccccn34)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nnc3ccccn23)c1)N1CCCC1; [None]; [None]; [0]
-FC(F)(F)Oc1nnc2ccccn12; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-c1ccn2c(-c3cscn3)nnc2c1; [None]; [None]; [0]
-Cn1cc(-c2nnc3ccccn23)c2ccccc21; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
-Cn1ncc2cc(-c3nnc4ccccn34)ccc21; [None]; [None]; [0]
-Cc1cc(-c2nnc3ccccn23)cc(C)c1OCCO; [None]; [None]; [0]
-CCc1cccc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3nnc4ccccn34)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2nnc3ccccn23)cn1; ['CN(C)c1ccc(Br)cn1']; ['c1ccn2cnnc2c1']; [0.999419212]
-FC1(F)CCC(c2nnc3ccccn23)CC1; ['NNc1ccccn1']; ['O=C(O)C1CCC(F)(F)CC1']; [0.999569952]
-O=S1(=O)CCC(c2nnc3ccccn23)CC1; [None]; [None]; [0]
-C[NH+](C)CCCc1nnc2ccccn12; [None]; [None]; [0]
-c1ccn2c(CC3CCOCC3)nnc2c1; ['NNc1ccccn1']; ['O=C(O)CC1CCOCC1']; [0.999407172]
-COc1cc(N2CCC(O)CC2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
-OCCc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nnc3ccccn23)c(Cl)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2nnc3ccccn23)cc1; ['CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['c1ccn2cnnc2c1', 'c1ccn2cnnc2c1']; [0.999105394, 0.999105394]
-COc1cc(N2CCNCC2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nnc3ccccn23)c(OC)c1; [None]; [None]; [0]
-Fc1ccc(Nc2nnc3ccccn23)nc1; [None]; [None]; [0]
-C[NH+](C)CCCOc1nnc2ccccn12; [None]; [None]; [0]
-c1ccc(Nc2nnc3ccccn23)nc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2nnc3ccccn23)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['c1ccn2cnnc2c1']; [0.998721659]
-Cc1ccc(C(=O)NCCO)cc1-c1nnc2ccccn12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
-Oc1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ncnc3c2cnn3-c2ccccc2)cn1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4ccncc4)ncnc32)cc1; [None]; [None]; [0]
-c1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-CCc1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4cccc5ncccc45)ncnc32)cc1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4cn[nH]c4)ncnc32)cc1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4n[nH]c5ccccc45)ncnc32)cc1; [None]; [None]; [0]
-Oc1cc(-c2ncnc3c2cnn3-c2ccccc2)ccc1Cl; [None]; [None]; [0]
-Fc1cccc(F)c1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-Cc1ccccc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ncnc3c2cnn3-c2ccccc2)c(F)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-Oc1ccc(-c2ncnc3c2cnn3-c2ccccc2)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2ncnc3c2cnn3-c2ccccc2)n1; [None]; [None]; [0]
-Cc1ncc(-c2ncnc3c2cnn3-c2ccccc2)[nH]1; [None]; [None]; [0]
-Clc1ccccc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2ncnc3c2cnn3-c2ccccc2)C1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-COc1cc(-c2ncnc3c2cnn3-c2ccccc2)ccc1O; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4cc[nH]c4)ncnc32)cc1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4cnccn4)ncnc32)cc1; [None]; [None]; [0]
-N#Cc1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-N#Cc1cnc(-c2ncnc3c2cnn3-c2ccccc2)cn1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4ccoc4)ncnc32)cc1; [None]; [None]; [0]
-COc1cc(CCc2ncnc3c2cnn3-c2ccccc2)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ncnc3c2cnn3-c2ccccc2)o1; [None]; [None]; [0]
-Clc1cccc(OCc2ncnc3c2cnn3-c2ccccc2)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2ncnc3c2cnn3-c2ccccc2)cn1; [None]; [None]; [0]
-Brc1cccc(-c2ncnc3c2cnn3-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4cccs4)ncnc32)cc1; [None]; [None]; [0]
-OCCCc1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Oc1ccc(-c2ncnc3c2cnn3-c2ccccc2)c(O)c1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4ccncn4)ncnc32)cc1; [None]; [None]; [0]
-Clc1ccccc1OCc1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Clc1ccc(CCc2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ncnc3c2cnn3-c2ccccc2)c1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Fc1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1Cl; [None]; [None]; [0]
-Cc1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1C; [None]; [None]; [0]
-Clc1ccc2c(c1-c1ncnc3c1cnn3-c1ccccc1)OCO2; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ncnc3c2cnn3-c2ccccc2)c[nH]1; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2ncnc3c2cnn3-c2ccccc2)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ncnc3c2cnn3-c2ccccc2)c1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ncnc4c3cnn4-c3ccccc3)ccc12; [None]; [None]; [0]
-COc1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1OC; [None]; [None]; [0]
-Oc1ncc(-c2ncnc3c2cnn3-c2ccccc2)cc1Cl; [None]; [None]; [0]
-Cc1nnc(-c2ncnc3c2cnn3-c2ccccc2)o1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4nnco4)ncnc32)cc1; [None]; [None]; [0]
-COCCCc1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4cnc5[nH]ccc5c4)ncnc32)cc1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ncnc4c3cnn4-c3ccccc3)cc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(C4CCOCC4)ncnc32)cc1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4nc5ccccc5s4)ncnc32)cc1; [None]; [None]; [0]
-Oc1cncc(-c2ncnc3c2cnn3-c2ccccc2)c1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2ncnc3c2cnn3-c2ccccc2)CC1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-O=C1Cc2cc(-c3ncnc4c3cnn4-c3ccccc3)ccc2N1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Fc1cnc(-c2ncnc3c2cnn3-c2ccccc2)nc1; [None]; [None]; [0]
-CNc1nccc(-c2ncnc3c2cnn3-c2ccccc2)n1; [None]; [None]; [0]
-Brc1ccc(-c2ncnc3c2cnn3-c2ccccc2)o1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-CCc1sccc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4ccc5c(c4)CCN5)ncnc32)cc1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2ncnc3c2cnn3-c2ccccc2)cc1Cl; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4nccs4)ncnc32)cc1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3ncnc4c3cnn4-c3ccccc3)cc2[nH]1; [None]; [None]; [0]
-Nc1cc(-c2ncnc3c2cnn3-c2ccccc2)[nH]n1; [None]; [None]; [0]
-Nc1cc(-c2ncnc3c2cnn3-c2ccccc2)n[nH]1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4nncs4)ncnc32)cc1; [None]; [None]; [0]
-[O-]c1cccc(-c2ncnc3c2cnn3-c2ccccc2)c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2ncnc3c2cnn3-c2ccccc2)c1C; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3ncnc4c3cnn4-c3ccccc3)c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ncnc3c2cnn3-c2ccccc2)nc1C; [None]; [None]; [0]
-Cc1csc(-c2ncnc3c2cnn3-c2ccccc2)n1; [None]; [None]; [0]
-Cc1ccc(-c2ncnc3c2cnn3-c2ccccc2)c(C)n1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2ncnc3c2cnn3-c2ccccc2)c1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(-c4cnco4)ncnc32)cc1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ncnc4c3cnn4-c3ccccc3)cc2o1; [None]; [None]; [0]
-Cc1cc(-c2ncnc3c2cnn3-c2ccccc2)ccc1C(N)=O; [None]; [None]; [0]
-Oc1c(F)cc(-c2ncnc3c2cnn3-c2ccccc2)cc1F; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3ncnc4c3cnn4-c3ccccc3)ccc12; [None]; [None]; [0]
-CSc1cccc(-c2ncnc3c2cnn3-c2ccccc2)c1; [None]; [None]; [0]
-Fc1ccc(-c2ncnc3c2cnn3-c2ccccc2)c(Cl)c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ncnc2c1cnn2-c1ccccc1; [None]; [None]; [0]
-c1ccc(-n2ncc3c(CCc4c[nH]c5ccccc45)ncnc32)cc1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-Fc1ccc(Cc2ncnc3c2cnn3-c2ccccc2)cc1; [None]; [None]; [0]
-Fc1ccc(CCc2ncnc3c2cnn3-c2ccccc2)c(F)c1; [None]; [None]; [0]
-Nc1c(-c2ccccc2)cnn1-c1ccccc1; [None]; [None]; [0]
-Cc1ccccc1-c1cnn(-c2ccccc2)c1N; ['Cc1ccccc1B(O)O']; ['Nc1ccnn1-c1ccccc1']; [0.773395658]
-Cc1cc(F)ccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)c(F)c1; [None]; [None]; [0]
-Nc1c(-c2ccc(C(=O)[O-])cc2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2cn[nH]c2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-Nc1c(-c2c(Cl)ccc3c2OCO3)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(CCc2ccc(Cl)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnn(-c4ccccc4)c3N)ccc12; [None]; [None]; [0]
-COCCCc1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-Nc1c(-c2cnc3[nH]ccc3c2)cnn1-c1ccccc1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnn(-c3ccccc3)c2N)c[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2cnn(-c3ccccc3)c2N)o1; [None]; [None]; [0]
-Nc1c(-c2ncc(F)cn2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2nnco2)cnn1-c1ccccc1; [None]; [None]; [0]
-CNc1nccc(-c2cnn(-c3ccccc3)c2N)n1; [None]; [None]; [0]
-Nc1c(C2CCOCC2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1cc(-c2cnn(-c3ccccc3)c2N)n[nH]1; [None]; [None]; [0]
-Nc1c(-c2ccc(Br)o2)cnn1-c1ccccc1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-Nc1c(-c2cccc([O-])c2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2nncs2)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2[nH]nc3ccc(F)cc23)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2ccc(C(=O)NC3CC3)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnn(-c3ccccc3)c2N)c1C; [None]; [None]; [0]
-Cc1cc(-c2cnn(-c3ccccc3)c2N)ccc1C(N)=O; [None]; [None]; [0]
-Nc1c(CCc2c[nH]c3ccccc23)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2[nH]cnc2-c2ccc(F)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
-Nc1c(CCc2ccc(F)cc2F)cnn1-c1ccccc1; [None]; [None]; [0]
-Nc1c(-c2cn[nH]c2-c2ccc(Cl)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
-Cn1cc(-n2cncc(Cl)c2=O)cn1; ['Cn1cc(B(O)O)cn1']; ['O=c1[nH]cncc1Cl']; [0.998225033]
-O=c1c(Cl)cncn1-c1ccc(O)cc1; [None]; [None]; [0]
-CCc1ccc(-n2cncc(Cl)c2=O)cc1; ['CCc1ccc(F)cc1']; ['O=c1[nH]cncc1Cl']; [0.941701591]
-O=c1c(Cl)cncn1-c1ccncc1; ['O=c1[nH]cncc1Cl']; ['OB(O)c1ccncc1']; [0.998276472]
-O=c1c(Cl)cncn1-c1ccccc1; ['Fc1ccccc1']; ['O=c1[nH]cncc1Cl']; [0.919311166]
-O=c1c(Cl)cncn1-c1cccc2ncccc12; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cn[nH]c1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1n[nH]c2ccccc12; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(Cl)c(O)c1; ['O=c1[nH]cncc1Cl']; ['Oc1cc(F)ccc1Cl']; [0.884075344]
-O=c1c(Cl)cncn1-c1c(F)cccc1F; ['O=c1[nH]cncc1Cl', 'Fc1cccc(F)c1F']; ['OB(O)c1c(F)cccc1F', 'O=c1[nH]cncc1Cl']; [0.999132216, 0.999132216]
-Cc1cc(F)ccc1-n1cncc(Cl)c1=O; ['Cc1cc(F)ccc1Cl']; ['O=c1[nH]cncc1Cl']; [0.907169282]
-Cc1ccccc1-n1cncc(Cl)c1=O; ['Cc1ccccc1I']; ['O=c1[nH]cncc1Cl']; [0.99519968]
-CNS(=O)(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-n2cncc(Cl)c2=O)c(F)c1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1c(Cl)cccc1Cl; ['Fc1c(Cl)cccc1Cl', 'O=c1[nH]cncc1Cl']; ['O=c1[nH]cncc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.984283566, 0.984283566]
-Nc1nccc(-n2cncc(Cl)c2=O)n1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(O)cc1Cl; [None]; [None]; [0]
-NC(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-Cc1ncc(-n2cncc(Cl)c2=O)[nH]1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cn[nH]c1Cl; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccccc1Cl; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cc[nH]c1; [None]; [None]; [0]
-COc1cc(-n2cncc(Cl)c2=O)ccc1O; ['COc1cc(F)ccc1O']; ['O=c1[nH]cncc1Cl']; [0.844721079]
-O=C([O-])c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-N#Cc1ccc(-n2cncc(Cl)c2=O)cc1; ['N#Cc1ccc(I)cc1', 'N#Cc1ccc(F)cc1']; ['Oc1ncncc1Cl', 'O=c1[nH]cncc1Cl']; [0.999858, 0.999858]
-O=c1c(Cl)cncn1-c1ccoc1; ['O=c1[nH]cncc1Cl']; ['OB(O)c1ccoc1']; [0.880188763]
-N#Cc1cnc(-n2cncc(Cl)c2=O)cn1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cnccn1; [None]; [None]; [0]
-O=c1c(Cl)cncn1COc1cccc(Cl)c1; [None]; [None]; [0]
-COC(=O)c1ccc(-n2cncc(Cl)c2=O)o1; [None]; [None]; [0]
-N#Cc1ccc(-n2cncc(Cl)c2=O)cn1; ['N#Cc1ccc(B(O)O)cn1']; ['O=c1[nH]cncc1Cl']; [0.994217038]
-COc1cc(CCn2cncc(Cl)c2=O)ccc1O; [None]; [None]; [0]
-O=c1c(Cl)cncn1CCCO; ['O=c1[nH]cncc1Cl']; ['OCCCBr']; [0.995198548]
-O=c1c(Cl)cncn1-c1cccs1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-n2cncc(Cl)c2=O)c1; ['COC(=O)c1ccc(Cl)c(I)c1']; ['O=c1[nH]cncc1Cl']; [0.999488711]
-O=c1c(Cl)cncn1-c1cccc(Br)c1; ['Brc1cccc(I)c1', 'O=c1[nH]cncc1Cl', 'Brc1cccc(Br)c1']; ['O=c1[nH]cncc1Cl', 'OB(O)c1cccc(Br)c1', 'O=c1[nH]cncc1Cl']; [0.999663353, 0.999663353, 0.999663353]
-O=c1c(Cl)cncn1-c1ccncn1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(F)c(Cl)c1; ['Fc1ccc(I)cc1Cl', 'O=c1[nH]cncc1Cl', 'Fc1ccc(I)cc1Cl']; ['Oc1ncncc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'O=c1[nH]cncc1Cl']; [0.99998188, 0.99998188, 0.99998188]
-O=c1c(Cl)cncn1-c1ccc(O)cc1O; [None]; [None]; [0]
-O=c1c(Cl)cncn1[C@H](CO)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-O=c1c(Cl)cncn1COc1ccccc1Cl; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
-O=c1c(Cl)cncn1CCc1ccc(Cl)cc1; [None]; [None]; [0]
-Cc1ccc(-n2cncc(Cl)c2=O)cc1C; ['Cc1ccc(Br)cc1C', 'Cc1ccc(F)cc1C']; ['O=c1[nH]cncc1Cl', 'O=c1[nH]cncc1Cl']; [0.999244928, 0.999244928]
-O=c1c(Cl)cncn1-c1cc(O)ccc1Cl; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-COCCCn1cncc(Cl)c1=O; ['COCCCBr']; ['O=c1[nH]cncc1Cl']; [0.998548]
-COc1cc(OC)cc(-n2cncc(Cl)c2=O)c1; ['COc1cc(F)cc(OC)c1']; ['O=c1[nH]cncc1Cl']; [0.963326335]
-NC(=O)c1cc(-n2cncc(Cl)c2=O)c[nH]1; [None]; [None]; [0]
-COc1ccc(-n2cncc(Cl)c2=O)cc1OC; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-n3cncc(Cl)c3=O)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-n3cncc(Cl)c3=O)cc2[nH]1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1nnco1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-Cc1nnc(-n2cncc(Cl)c2=O)o1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1C1CCOCC1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1nc2ccccc2s1; [None]; [None]; [0]
-O=C1Cc2cc(-n3cncc(Cl)c3=O)ccc2N1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cncc(O)c1; [None]; [None]; [0]
-C[C@H](CC(N)=O)n1cncc(Cl)c1=O; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
-CNc1nccc(-n2cncc(Cl)c2=O)n1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ncc(F)cn1; [None]; [None]; [0]
-CCc1cc(O)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(Br)o1; [None]; [None]; [0]
-Cc1cc(O)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-Cc1cccc(C)c1-n1cncc(Cl)c1=O; ['Cc1cccc(C)c1B(O)O']; ['O=c1[nH]cncc1Cl']; [0.996211648]
-O=c1c(Cl)cncn1-c1cc(Cl)c(O)c(Cl)c1; [None]; [None]; [0]
-CCc1sccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1nccs1; [None]; [None]; [0]
-Nc1cc(-n2cncc(Cl)c2=O)[nH]n1; [None]; [None]; [0]
-Nc1cc(-n2cncc(Cl)c2=O)n[nH]1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
-O=c1[nH]c2ccc(-n3cncc(Cl)c3=O)cc2[nH]1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(Br)cc1F; ['Fc1ccc(Br)cc1F']; ['O=c1[nH]cncc1Cl']; [0.997967422]
-O=c1c(Cl)cncn1-c1nncs1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cccc([O-])c1; [None]; [None]; [0]
-Cc1n[nH]c(-n2cncc(Cl)c2=O)c1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
-Cc1ccc(-n2cncc(Cl)c2=O)nc1C; [None]; [None]; [0]
-Cc1ccc(-n2cncc(Cl)c2=O)c(C)n1; [None]; [None]; [0]
-Cc1csc(-n2cncc(Cl)c2=O)n1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cnco1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cc(O)cc(Br)c1; [None]; [None]; [0]
-Cc1cc(-n2cncc(Cl)c2=O)ccc1C(N)=O; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cc(F)c(O)c(F)c1; [None]; [None]; [0]
-Cc1nc2ccc(-n3cncc(Cl)c3=O)cc2o1; [None]; [None]; [0]
-CSc1cccc(-n2cncc(Cl)c2=O)c1; ['CSc1cccc(F)c1']; ['O=c1[nH]cncc1Cl']; [0.843281448]
-O=c1[nH][nH]c2cc(-n3cncc(Cl)c3=O)ccc12; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(F)cc1Cl; ['Fc1ccc(F)c(Cl)c1']; ['O=c1[nH]cncc1Cl']; [0.811527252]
-O=c1c(Cl)cncn1CCc1c[nH]c2ccccc12; ['BrCCc1c[nH]c2ccccc12']; ['O=c1[nH]cncc1Cl']; [0.961401761]
-Cc1onc(-c2ccccc2)c1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-O=c1c(Cl)cncn1CCc1ccc(F)cc1F; [None]; [None]; [0]
-O=c1c(Cl)cncn1Cc1ccc(F)cc1; ['Fc1ccc(CBr)cc1', 'O=c1[nH]cncc1Cl']; ['O=c1[nH]cncc1Cl', 'OCc1ccc(F)cc1']; [0.999231339, 0.999231339]
-O=c1c(Cl)cncn1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-CCOc1ccc(-n2cncc(Cl)c2=O)cc1; ['CCOc1ccc(F)cc1']; ['O=c1[nH]cncc1Cl']; [0.974784672]
-O=c1c(Cl)cncn1-c1ncc2ccccc2n1; ['Clc1ncc2ccccc2n1']; ['O=c1[nH]cncc1Cl']; [0.962795258]
-CC(=O)N(C)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-COc1ncccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-COc1cccc(N2CCC(n3cncc(Cl)c3=O)CC2)c1; [None]; [None]; [0]
-Cc1n[nH]cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-COc1cc(-n2cncc(Cl)c2=O)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC']; ['O=c1[nH]cncc1Cl']; [0.993968487]
-CS(=O)(=O)c1cccc(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
-Cn1nncc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-Cc1nn(C)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cccc(O)c1; ['O=c1[nH]cncc1Cl']; ['Oc1cccc(F)c1']; [0.925471842]
-COc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cnc2cccnn12; [None]; [None]; [0]
-O=C(Nc1cccc(-n2cncc(Cl)c2=O)c1)C1CC1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-O=c1c(Cl)cncn1Nc1ncccn1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-n2cncc(Cl)c2=O)cc1; ['O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; ['O=c1[nH]cncc1Cl']; [0.995267391]
-O=c1c(Cl)cncn1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cccc(F)c1; ['O=c1[nH]cncc1Cl']; ['OB(O)c1cccc(F)c1']; [0.987021625]
-O=c1c(Cl)cncn1-c1ccc(Cl)cc1; ['Fc1ccc(Cl)cc1']; ['O=c1[nH]cncc1Cl']; [0.964709461]
-CC(=O)NCc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-n2cncc(Cl)c2=O)cn1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-O=c1c(Cl)cncn1Cc1nccc2ccccc12; [None]; [None]; [0]
-O=C(c1ccc(-n2cncc(Cl)c2=O)nc1)N1CCOCC1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(OCCO)cc1; [None]; [None]; [0]
-Cc1cc(-n2cncc(Cl)c2=O)nn1C; [None]; [None]; [0]
-O=c1c(Cl)cncn1Cc1ccccc1; ['BrCc1ccccc1']; ['O=c1[nH]cncc1Cl']; [0.997345865]
-O=C(c1ccc(-n2cncc(Cl)c2=O)cc1)N1CCOCC1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(C(F)(F)F)cc1; ['O=c1[nH]cncc1Cl']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.999178]
-C[C@@H](O)COc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-n2cncc(Cl)c2=O)cc1; ['CN(C)c1ccc(Br)cc1']; ['O=c1[nH]cncc1Cl']; [0.997617662]
-C[C@H](O)COc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-CNS(=O)(=O)Cn1cncc(Cl)c1=O; [None]; [None]; [0]
-O=c1c(Cl)cncn1Cc1ccccc1O; [None]; [None]; [0]
-Cc1nc(C)c(-n2cncc(Cl)c2=O)s1; [None]; [None]; [0]
-O=c1c(Cl)cncn1Cc1ccncc1; ['BrCc1ccncc1']; ['O=c1[nH]cncc1Cl']; [0.997321665]
-CN(C)S(=O)(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1Cc1cncnc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
-O=c1c(Cl)cncn1C1CCCCC1; [None]; [None]; [0]
-Nc1ncc(Cn2cncc(Cl)c2=O)cn1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cncnc1; ['O=c1[nH]cncc1Cl']; ['OB(O)c1cncnc1']; [0.848647058]
-O=c1c(Cl)cncn1-c1cnc(Cl)nc1; ['Clc1ncc(Br)cn1']; ['O=c1[nH]cncc1Cl']; [0.991618752]
-O=c1c(Cl)cncn1Cc1cccnc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(Br)cc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](n2cncc(Cl)c2=O)C1; [None]; [None]; [0]
-COc1ccc(Cn2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc[nH]1; [None]; [None]; [0]
-COc1cc(OC)c(-n2cncc(Cl)c2=O)cc1Cl; [None]; [None]; [0]
-CN(C)c1ccc(-n2cncc(Cl)c2=O)cc1Cl; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc2c(c1)CCO2; ['Fc1ccc2c(c1)CCO2']; ['O=c1[nH]cncc1Cl']; [0.988923848]
-O=c1c(Cl)cncn1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cc(N2CCOCC2)ccn1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cc2ccccc2cn1; [None]; [None]; [0]
-Cc1cc(-n2cncc(Cl)c2=O)sn1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
-O=c1c(Cl)cncn1Cn1ccnc1; [None]; [None]; [0]
-COc1cccc(C(=O)N2CCC(n3cncc(Cl)c3=O)CC2)c1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cccc2c1OCO2; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(F)c(F)c1; ['Fc1ccc(I)cc1F']; ['O=c1[nH]cncc1Cl']; [0.998806715]
-[NH3+][C@@H]1CC[C@@H](n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-n2cncc(Cl)c2=O)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['O=c1[nH]cncc1Cl']; [0.983399153]
-CC(C)(C)c1ccc(-n2cncc(Cl)c2=O)cc1; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(F)cc1']; ['O=c1[nH]cncc1Cl', 'O=c1[nH]cncc1Cl', 'O=c1[nH]cncc1Cl']; [0.998518169, 0.998518169, 0.998518169]
-O=c1c(Cl)cncn1-c1cnc2ccccc2c1; ['Brc1cnc2ccccc2c1', 'O=c1[nH]cncc1Cl']; ['O=c1[nH]cncc1Cl', 'OB(O)c1cnc2ccccc2c1']; [0.99316287, 0.99316287]
-O=c1c(Cl)cncn1-c1scc2c1OCCO2; [None]; [None]; [0]
-CC(C)(C)c1ccc(-n2cncc(Cl)c2=O)cn1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cccnc1Oc1ccccc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-COc1cccc(C(=O)Nn2cncc(Cl)c2=O)c1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccco1; [None]; [None]; [0]
-Cc1cc(-n2cncc(Cl)c2=O)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['O=c1[nH]cncc1Cl']; [0.987966597]
-O=c1c(Cl)cncn1[C@@H]1CC[C@@H](O)CC1; [None]; [None]; [0]
-COc1cc(N2CCOCC2)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-CCCCCn1cncc(Cl)c1=O; ['CCCCCBr']; ['O=c1[nH]cncc1Cl']; [0.967322826]
-O=c1c(Cl)cncn1[C@H]1CC[C@@H](O)C1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(Cl)cc1Cl; ['Fc1ccc(Cl)cc1Cl']; ['O=c1[nH]cncc1Cl']; [0.778865576]
-CCN1CCN(Cc2ccc(-n3cncc(Cl)c3=O)cc2)CC1; [None]; [None]; [0]
-O=c1c(Cl)cncn1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccsc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ncc2cccn2n1; [None]; [None]; [0]
-COc1cc(-n2cncc(Cl)c2=O)ccc1N1CCOCC1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ncc(Br)cn1; [None]; [None]; [0]
-Cc1cc(C)cc(-n2cncc(Cl)c2=O)c1; ['Cc1cc(C)cc(I)c1']; ['O=c1[nH]cncc1Cl']; [0.987406552]
-Cn1cc(-n2cncc(Cl)c2=O)c(C(F)(F)F)n1; [None]; [None]; [0]
-O=c1c(Cl)cncn1CCCn1cncn1; [None]; [None]; [0]
-COc1ccc2cccc(-n3cncc(Cl)c3=O)c2c1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(N2CCCCC2)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cc2ccccn2n1; [None]; [None]; [0]
-COc1cc(F)c(-n2cncc(Cl)c2=O)cc1OC; ['COc1cc(F)c(F)cc1OC']; ['O=c1[nH]cncc1Cl']; [0.91151315]
-CC1(C)Cc2cc(-n3cncc(Cl)c3=O)ccc2O1; [None]; [None]; [0]
-COc1cc(-n2cncc(Cl)c2=O)ccc1Cl; ['COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['O=c1[nH]cncc1Cl', 'O=c1[nH]cncc1Cl']; [0.999143124, 0.999143124]
-O=c1c(Cl)cncn1-c1ncc(Cl)cn1; [None]; [None]; [0]
-Cc1csc2c(-n3cncc(Cl)c3=O)ncnc12; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cccc(-n2nccn2)c1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
-COc1ccc(OC)c(Cn2cncc(Cl)c2=O)c1; [None]; [None]; [0]
-COc1cc(-n2cncc(Cl)c2=O)c(OC)cc1Br; [None]; [None]; [0]
-Cc1ccc(-n2cncc(Cl)c2=O)o1; [None]; [None]; [0]
-O=c1c(Cl)cncn1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
-NC(=O)c1ccc(Cn2cncc(Cl)c2=O)cc1; ['NC(=O)c1ccc(CCl)cc1']; ['O=c1[nH]cncc1Cl']; [0.996510923]
-O=c1c(Cl)cncn1-c1cc(F)cc2c1OCOC2; [None]; [None]; [0]
-CC(C)NC(=O)N[C@@H]1CC[C@@H](n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc2cn[nH]c2c1; ['O=c1[nH]cncc1Cl']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.996418476]
-CCNC(=O)N1CCC(n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
-COc1ccc2oc(-n3cncc(Cl)c3=O)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cc2ccccc2o1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ncc2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-Cc1nc(-n2cncc(Cl)c2=O)c2sccc2n1; [None]; [None]; [0]
-O=C(Nc1cccc(-n2cncc(Cl)c2=O)c1)N1CCCC1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(OC(F)(F)F)cc1; ['O=c1[nH]cncc1Cl']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999985695]
-O=c1c(Cl)cncn1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-COc1ccc2nc(-n3cncc(Cl)c3=O)[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-n2cncc(Cl)c2=O)c2ccccc21; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1cscn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-n2cncc(Cl)c2=O)cc1Cl; [None]; [None]; [0]
-Cc1cc(-n2cncc(Cl)c2=O)cc(C)c1OCCO; [None]; [None]; [0]
-CCc1cccc(-n2cncc(Cl)c2=O)n1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-n3cncc(Cl)c3=O)ccc12; [None]; [None]; [0]
-C[C@H]1CCCN1c1cccc(-n2cncc(Cl)c2=O)n1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
-C[NH+](C)CCCn1cncc(Cl)c1=O; [None]; [None]; [0]
-O=c1c(Cl)cncn1C1CCC(F)(F)CC1; [None]; [None]; [0]
-O=c1c(Cl)cncn1C1CCS(=O)(=O)CC1; [None]; [None]; [0]
-CN(C)c1ccc(-n2cncc(Cl)c2=O)cn1; [None]; [None]; [0]
-O=c1c(Cl)cncn1-c1ccc(CCO)cc1; [None]; [None]; [0]
-COc1cc(N2CCC(O)CC2)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-n2cncc(Cl)c2=O)c(Cl)c1; [None]; [None]; [0]
-O=c1c(Cl)cncn1CC1CCOCC1; ['O=c1[nH]cncc1Cl']; ['OCC1CCOCC1']; [0.998066485]
-Cc1cc(N2CCOCC2)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2cncc(Cl)c2=O)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccccc3)ccc21; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-Cc1ccccc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-Cn1c(-c2ccc3c(c2)CCCCC3=O)nc2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)c(F)c1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cn[nH]c3Cl)ccc21; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-O=C1CCCCc2cc(CCc3ccc(Cl)cc3)ccc21; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2ccc3c(c2)CCCCC3=O)c1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccc3c(c2)CCCCC3=O)c[nH]1; [None]; [None]; [0]
-COCCCc1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3c(Cl)ccc4c3OCO4)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3nnco3)ccc21; [None]; [None]; [0]
-Cc1nnc(-c2ccc3c(c2)CCCCC3=O)o1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc4c(c3)CCCCC4=O)ccc12; [None]; [None]; [0]
-O=C1CCCCc2cc(C3CCOCC3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cnc4[nH]ccc4c3)ccc21; [None]; [None]; [0]
-CNc1nccc(-c2ccc3c(c2)CCCCC3=O)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ccc(Br)o3)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3ncc(F)cn3)ccc21; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CCCCC3=O)n[nH]1; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3[nH]nc4ccc(F)cc34)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3nncs3)ccc21; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3c(c2)CCCCC3=O)c1C; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cccc([O-])c3)ccc21; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)CCCCC3=O)ccc1C(N)=O; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3[nH]cnc3-c3ccc(F)cc3)ccc21; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
-O=C1CCCCc2cc(OCc3cccc4ccccc34)ccc21; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
-O=C1CCCCc2cc(CCc3c[nH]c4ccccc34)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(OCc3ccc(F)cc3F)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(CCc3ccc(F)cc3F)ccc21; [None]; [None]; [0]
-O=C1CCCCc2cc(-c3cn[nH]c3-c3ccc(Cl)cc3)ccc21; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3ccncc3)n2)c1; [None]; [None]; [0]
-Cn1cc(-c2nc(-c3ccco3)n[nH]2)cn1; [None]; [None]; [0]
-Oc1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3cccc4ncccc34)n2)c1; [None]; [None]; [0]
-c1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-CCc1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3cn[nH]c3)n2)c1; [None]; [None]; [0]
-Oc1cc(-c2nc(-c3ccco3)n[nH]2)ccc1Cl; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3n[nH]c4ccccc34)n2)c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Cc1ccccc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Cn1c(-c2nc(-c3ccco3)n[nH]2)nc2ccccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Fc1ccc(Oc2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc(-c3ccco3)n[nH]2)c(F)c1; [None]; [None]; [0]
-Cc1ncc(-c2nc(-c3ccco3)n[nH]2)[nH]1; [None]; [None]; [0]
-Nc1nccc(-c2nc(-c3ccco3)n[nH]2)n1; [None]; [None]; [0]
-Oc1ccc(-c2nc(-c3ccco3)n[nH]2)c(Cl)c1; [None]; [None]; [0]
-Clc1ccccc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-COc1cc(-c2nc(-c3ccco3)n[nH]2)ccc1O; [None]; [None]; [0]
-O[C@H]1C[C@@H](c2nc(-c3ccco3)n[nH]2)C1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-N#Cc1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3cc[nH]c3)n2)c1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3cnccn3)n2)c1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3ccoc3)n2)c1; [None]; [None]; [0]
-N#Cc1cnc(-c2nc(-c3ccco3)n[nH]2)cn1; [None]; [None]; [0]
-COc1cc(CCc2nc(-c3ccco3)n[nH]2)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2nc(-c3ccco3)n[nH]2)o1; [None]; [None]; [0]
-Clc1cccc(OCc2nc(-c3ccco3)n[nH]2)c1; [None]; [None]; [0]
-N#Cc1ccc(-c2nc(-c3ccco3)n[nH]2)cn1; [None]; [None]; [0]
-Brc1cccc(-c2nc(-c3ccco3)n[nH]2)c1; [None]; [None]; [0]
-OCCCc1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-O=C([O-])Cc1ccn(-c2nc(-c3ccco3)n[nH]2)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2nc(-c3ccco3)n[nH]2)c1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3cccs3)n2)c1; [None]; [None]; [0]
-Oc1ccc(-c2nc(-c3ccco3)n[nH]2)c(O)c1; [None]; [None]; [0]
-Fc1ccc(-c2nc(-c3ccco3)n[nH]2)cc1Cl; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3ccncn3)n2)c1; [None]; [None]; [0]
-Clc1ccccc1OCc1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Clc1ccc(CCc2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2nc(-c3ccco3)n[nH]2)c1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1nc(-c3ccco3)n[nH]1)OCO2; [None]; [None]; [0]
-Cc1ccc(-c2nc(-c3ccco3)n[nH]2)cc1C; [None]; [None]; [0]
-NC(=O)c1cc(-c2nc(-c3ccco3)n[nH]2)c[nH]1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Oc1ncc(-c2nc(-c3ccco3)n[nH]2)cc1Cl; [None]; [None]; [0]
-O=c1ccccn1Cc1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-COCCCc1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2nc(-c3ccco3)n[nH]2)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3nc(-c4ccco4)n[nH]3)cc2[nH]1; [None]; [None]; [0]
-COc1ccc(-c2nc(-c3ccco3)n[nH]2)cc1OC; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3nc(-c4ccco4)n[nH]3)ccc12; [None]; [None]; [0]
-Cc1nnc(-c2nc(-c3ccco3)n[nH]2)o1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3nnco3)n2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3nc4ccccc4s3)n2)c1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3cnc4[nH]ccc4c3)n2)c1; [None]; [None]; [0]
-Oc1cncc(-c2nc(-c3ccco3)n[nH]2)c1; [None]; [None]; [0]
-O=C1Cc2cc(-c3nc(-c4ccco4)n[nH]3)ccc2N1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(C3CCOCC3)n2)c1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-NC(=O)[C@H]1CC[C@@H](c2nc(-c3ccco3)n[nH]2)CC1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-CNc1nccc(-c2nc(-c3ccco3)n[nH]2)n1; [None]; [None]; [0]
-Fc1cnc(-c2nc(-c3ccco3)n[nH]2)nc1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-n3ccnc3)n2)c1; [None]; [None]; [0]
-Brc1ccc(-c2nc(-c3ccco3)n[nH]2)o1; [None]; [None]; [0]
-Cc1cccc(C)c1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3nccs3)n2)c1; [None]; [None]; [0]
-CCc1sccc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2nc(-c3ccco3)n[nH]2)cc1Cl; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3ccc4c(c3)CCN4)n2)c1; [None]; [None]; [0]
-Nc1cc(-c2nc(-c3ccco3)n[nH]2)n[nH]1; [None]; [None]; [0]
-Nc1cc(-c2nc(-c3ccco3)n[nH]2)[nH]n1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3nncs3)n2)c1; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3nc(-c4ccco4)n[nH]3)cc2[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-[O-]c1cccc(-c2nc(-c3ccco3)n[nH]2)c1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(Nc3ccncc3)n2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-Cc1n[nH]c(-c2nc(-c3ccco3)n[nH]2)c1C; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3nc(-c4ccco4)n[nH]3)c2c1; [None]; [None]; [0]
-Cc1ccc(-c2nc(-c3ccco3)n[nH]2)c(C)n1; [None]; [None]; [0]
-Cc1csc(-c2nc(-c3ccco3)n[nH]2)n1; [None]; [None]; [0]
-Cc1ccc(-c2nc(-c3ccco3)n[nH]2)nc1C; [None]; [None]; [0]
-c1coc(-c2n[nH]c(-c3cnco3)n2)c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2nc(-c3ccco3)n[nH]2)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3nc(-c4ccco4)n[nH]3)cc2o1; [None]; [None]; [0]
-Oc1c(F)cc(-c2nc(-c3ccco3)n[nH]2)cc1F; [None]; [None]; [0]
-Cc1cc(-c2nc(-c3ccco3)n[nH]2)ccc1C(N)=O; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-CSc1cccc(-c2nc(-c3ccco3)n[nH]2)c1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3nc(-c4ccco4)n[nH]3)ccc12; [None]; [None]; [0]
-c1ccc(COc2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(OCc3cccc4ccccc34)n2)c1; [None]; [None]; [0]
-c1coc(-c2n[nH]c(CCc3c[nH]c4ccccc34)n2)c1; [None]; [None]; [0]
-Fc1ccc(Oc2nc(-c3ccco3)n[nH]2)c(F)c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Fc1ccccc1Oc1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Fc1ccc(-c2nc(-c3ccco3)n[nH]2)c(Cl)c1; [None]; [None]; [0]
-Fc1ccc(COc2nc(-c3ccco3)n[nH]2)c(F)c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-Fc1ccc(Cc2nc(-c3ccco3)n[nH]2)cc1; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1nc(-c2ccco2)n[nH]1; [None]; [None]; [0]
-Fc1ccc(CCc2nc(-c3ccco3)n[nH]2)c(F)c1; [None]; [None]; [0]
-CCc1cncnc1CCC(C)(C)OC; [None]; [None]; [0]
-CCOc1ccccc1-c1ncncc1CC; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1C(=O)NC; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1-c1nnc(C)[nH]1; [None]; [None]; [0]
-CCc1cncnc1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1S(=O)(=O)C(C)C; [None]; [None]; [0]
-CCc1cncnc1[C@@H]1C[C@H](O)C1; [None]; [None]; [0]
-CCc1cncnc1[C@H](C)c1cc(F)ccc1OC; [None]; [None]; [0]
-CCc1cncnc1C1CCOCC1; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1P(C)(C)=O; [None]; [None]; [0]
-CCc1cncnc1-c1ccnc2ccccc12; [None]; [None]; [0]
-CCc1cncnc1-c1cc[nH]n1; [None]; [None]; [0]
-CCc1cncnc1-c1cccnc1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(C)c1; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1Cl; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1F; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1Br; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1OC(F)(F)F; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1C#N; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
-CCc1cncnc1-c1ccccc1C(N)=O; [None]; [None]; [0]
-CCc1cncnc1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
-CCc1cncnc1-c1ccncn1; [None]; [None]; [0]
-CCc1cncnc1-c1c(F)cccc1F; [None]; [None]; [0]
-CCc1cncnc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-CCc1cncnc1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
-CCc1cncnc1[C@@H](N)c1ccco1; [None]; [None]; [0]
-CCc1cncnc1-c1cnn(CCO)c1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
-CCc1cncnc1[C@@H]1CC[C@@H](CO)OC1; [None]; [None]; [0]
-CCc1cncnc1C1CCCCC1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc2c(c1)CCC2; [None]; [None]; [0]
-CCc1cncnc1-c1ncc(OC)cn1; [None]; [None]; [0]
-CCc1cncnc1CC1CCCCC1; [None]; [None]; [0]
-CCc1cncnc1OCC(=O)C(C)C; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(C)cc1Br; [None]; [None]; [0]
-CCc1cncnc1-c1cnco1; [None]; [None]; [0]
-CCc1cncnc1-c1c(C)nc2ccccn12; [None]; [None]; [0]
-CCc1cncnc1-c1cnc2ccccn12; [None]; [None]; [0]
-CCc1cncnc1-c1sc(NC)nc1C; [None]; [None]; [0]
-CCc1cncnc1-c1sc(N)nc1C; [None]; [None]; [0]
-CCc1cncnc1-c1sc(C)nc1C; [None]; [None]; [0]
-CCc1cncnc1NC(C)(C)C; [None]; [None]; [0]
-CCc1cncnc1-c1cnc2cccnn12; [None]; [None]; [0]
-CCc1cncnc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
-CCc1cncnc1OC1CCCCC1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-CCc1cncnc1-c1cc(C)ccc1Cl; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(Cl)c1Cl; [None]; [None]; [0]
-CCc1cncnc1NCc1cccnc1; [None]; [None]; [0]
-CCc1cncnc1-c1cnc(C)[nH]1; [None]; [None]; [0]
-CCc1cncnc1-c1ccnc(N)n1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(OC)c1; [None]; [None]; [0]
-CCc1cncnc1C(C)(C)CC; [None]; [None]; [0]
-CCc1cncnc1Nc1cccnc1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(Cl)s1; [None]; [None]; [0]
-CCc1cncnc1NCCc1c[nH]cn1; [None]; [None]; [0]
-CCc1cncnc1N[C@H](C)CO; [None]; [None]; [0]
-CCc1cncnc1NC(=O)c1cccs1; [None]; [None]; [0]
-CCc1cncnc1OCC(C)C; [None]; [None]; [0]
-CCc1cncnc1-n1cnc2ccccc21; [None]; [None]; [0]
-CCc1cncnc1O[C@H](C)[C@@H](C)O; [None]; [None]; [0]
-CCc1cncnc1C[C@H](N)C(=O)OC; [None]; [None]; [0]
-CCCCc1ncncc1CC; [None]; [None]; [0]
-CCc1cncnc1-c1cncc2ccccc12; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(-c2cnn(C)c2)cc1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
-CCCn1cnc(-c2ncncc2CC)n1; [None]; [None]; [0]
-CCc1cncnc1NCCc1ccccc1; [None]; [None]; [0]
-CCc1cncnc1O[C@@H](C)C[NH+](C)C; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(O)c1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(CO)c1; [None]; [None]; [0]
-CCc1cncnc1CCC[NH3+]; [None]; [None]; [0]
-CCc1cncnc1[C@@H]1CCC[C@H]([NH3+])C1; [None]; [None]; [0]
-CCc1cncnc1-c1cncn1C; [None]; [None]; [0]
-CCc1cncnc1Nc1ccncc1; [None]; [None]; [0]
-CCc1cncnc1-c1cnn(C)c1; [None]; [None]; [0]
-CCc1cncnc1-c1cccs1; [None]; [None]; [0]
-CCc1cncnc1-c1ccco1; [None]; [None]; [0]
-CCc1cncnc1-c1c[nH]c(SC)n1; [None]; [None]; [0]
-CCc1cncnc1NC(C)C; [None]; [None]; [0]
-CCc1cncnc1-c1csc2ncncc12; [None]; [None]; [0]
-CCc1cncnc1-c1cnoc1C(C)C; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ncncc3CC)cc2s1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(CCC#N)c1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncncc2CC)cc1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
-CCc1cncnc1OC(F)(F)F; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(NC(C)=O)c1; [None]; [None]; [0]
-CCc1cncnc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
-CCc1cncnc1N1CCC(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CCc1cncnc1[C@@H](C)C(F)(F)F; [None]; [None]; [0]
-CCC(=O)Nc1ncncc1CC; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(OC)c(Cl)c1; [None]; [None]; [0]
-CCc1cncnc1-c1cnn2ccccc12; [None]; [None]; [0]
-CCc1cncnc1-c1cc(C)on1; [None]; [None]; [0]
-CCc1cncnc1-c1cnoc1; [None]; [None]; [0]
-CCCn1cc(-c2ncncc2CC)cn1; [None]; [None]; [0]
-CCc1cncnc1-c1cc[nH]c(=O)c1; [None]; [None]; [0]
-CCc1cncnc1-c1ccn([C@@H2]CO)c(=O)c1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc2c1C(=O)CC2; [None]; [None]; [0]
-CCc1cncnc1NC(=O)NC(C)(C)C; [None]; [None]; [0]
-CCc1cncnc1CCc1cc(OC)cc(OC)c1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(Cl)c(C(=O)[O-])c1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc([S@](C)=O)cc1; [None]; [None]; [0]
-CCOC(=O)Cc1ncncc1CC; [None]; [None]; [0]
-CCc1cncnc1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
-CCc1cncnc1-c1c[nH]c2ccccc12; ['CCCC(=O)c1c[nH]c2ccccc12']; ['O=CNC(NC=O)NC=O']; [0.998981297]
-CCc1cncnc1N(CC)CC; [None]; [None]; [0]
-CCc1cncnc1Nc1cnc2ccccc2c1; [None]; [None]; [0]
-CCc1cncnc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
-CCc1cncnc1Nc1cnccc1OC; [None]; [None]; [0]
-CCc1cncnc1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
-CCc1cncnc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(F)c1C(=O)NC; [None]; [None]; [0]
-CCc1cncnc1[C@@H]1CC[C@@H](NC(=O)O)C1; [None]; [None]; [0]
-CCc1cncnc1[C@@H]1CCCN(C(=O)CC#N)C1; [None]; [None]; [0]
-CCc1cncnc1C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CCc1cncnc1[C@@H]1CC[C@@H](CC#N)CC1; [None]; [None]; [0]
-CCc1cncnc1[C@@H]1CC[C@@H](C#N)CC1; [None]; [None]; [0]
-CCc1cncnc1[C@@H]1CC[C@@H](CCC#N)CC1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(S(=O)(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(S(=O)(=O)NC)cc1; [None]; [None]; [0]
-CCc1cncnc1[C@H]1COCC[C@@H]1C#N; [None]; [None]; [0]
-CCc1cncnc1-c1cc(C)nn1-c1cccc(Cl)c1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
-CCc1cncnc1-n1ccc(CO)n1; [None]; [None]; [0]
-CCc1cncnc1N[C@@H](C)C(C)(C)C; [None]; [None]; [0]
-CCc1cncnc1N[C@@H](C)C(C)(C)O; [None]; [None]; [0]
-CCc1cncnc1-n1cnc(CCO)c1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(F)c1C(N)=O; [None]; [None]; [0]
-CCc1cncnc1-n1ncc2ccccc21; [None]; [None]; [0]
-CCc1cncnc1N[C@H](C)C(C)(C)O; [None]; [None]; [0]
-CCc1cncnc1-c1nc[nH]n1; [None]; [None]; [0]
-CCc1cncnc1-n1ncc2c(O)cccc21; [None]; [None]; [0]
-CCc1cncnc1-c1cccnc1O; [None]; [None]; [0]
-CCc1cncnc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
-CCc1cncnc1-c1[nH]c(SC)nc1C; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-CCc1cncnc1Cc1ccncc1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(OC)cc1OC; [None]; [None]; [0]
-CCc1cncnc1-c1[nH]cnc1C; [None]; [None]; [0]
-CCc1cncnc1NCC(C)(C)[NH3+]; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
-CCc1cncnc1-c1nncn1C(C)C; [None]; [None]; [0]
-CCc1cncnc1-c1nncn1C1CC1; [None]; [None]; [0]
-CCc1cncnc1-c1nncn1C; [None]; [None]; [0]
-CCc1cncnc1-c1nncn1[C@H](C)CO; [None]; [None]; [0]
-CCc1cncnc1CCC(=O)NCc1ccccn1; [None]; [None]; [0]
-CCc1cncnc1OC1CCOCC1; [None]; [None]; [0]
-CCc1cncnc1-n1ccnc1; [None]; [None]; [0]
-CCc1cncnc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
-CCc1cc(-c2ncncc2CC)nc(N)n1; [None]; [None]; [0]
-CCc1cncnc1N[C@H](C)C(C)(C)C; [None]; [None]; [0]
-CCc1cncnc1-c1cnc(N)s1; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(C(=O)NC)s1; [None]; [None]; [0]
-CCCCc1cc(-c2ncncc2CC)nc(N)n1; [None]; [None]; [0]
-CCc1cncnc1-c1nnc(N)s1; [None]; [None]; [0]
-CCc1cncnc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-CCc1cncnc1-c1cncc(C)n1; [None]; [None]; [0]
-CCc1cncnc1-c1c(F)cccc1OC; [None]; [None]; [0]
-CCc1cncnc1-c1nc2ccccc2s1; [None]; [None]; [0]
-CCc1cncnc1[C@H]1CCCN1C(N)=O; [None]; [None]; [0]
-CCc1cncnc1-c1cnc(NC(C)=O)[nH]1; [None]; [None]; [0]
-CCc1cncnc1CC1CCOCC1; [None]; [None]; [0]
-CCc1cncnc1-c1cccc2ccsc12; [None]; [None]; [0]
-CCc1cncnc1-c1cn(C)n(C)c1=O; [None]; [None]; [0]
-CCc1cncnc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-CCc1cncnc1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
-CCc1cncnc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-CCc1cncnc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-CCc1cncnc1-c1cnccc1N1CCOCC1; [None]; [None]; [0]
-CCc1cncnc1Cc1cccnc1; [None]; [None]; [0]
-CCc1cncnc1O[C@@H]1CC[C@H](O)CC1; [None]; [None]; [0]
-CCc1cncnc1-c1cc(C#N)ccc1OC; [None]; [None]; [0]
-CCc1cncnc1NCC(C)(C)C; [None]; [None]; [0]
-CCc1cncnc1Cc1ccccc1NS(C)(=O)=O; [None]; [None]; [0]
-CCc1cncnc1OC(C)(C)C; [None]; [None]; [0]
-CCc1cncnc1-c1cc(C)cc(C)c1; [None]; [None]; [0]
-CCc1cncnc1[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
-CCc1cncnc1-c1cc(OC)ccc1OC; [None]; [None]; [0]
-CCc1cncnc1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-CCc1cncnc1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
-CCc1cncnc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-Cc1ccc2ncn([C@@H]3CC[C@H](CO)CC3)c2c1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1[C@@H]1CC[C@H](CO)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2ncc3ccccc3n2)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2ncc3cccn3n2)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2cc3ccccn3n2)CC1; [None]; [None]; [0]
-O=C([O-])c1ccc(C[C@@H]2CC[C@H](CO)CC2)cc1; [None]; [None]; [0]
-Cc1csc2c([C@@H]3CC[C@H](CO)CC3)ncnc12; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2ncc(Cl)cn2)CC1; [None]; [None]; [0]
-CC1(C)Cc2cc([C@@H]3CC[C@H](CO)CC3)ccc2O1; [None]; [None]; [0]
-OC[C@@H]1CC[C@H](CCc2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2ncc3sccc3n2)CC1; [None]; [None]; [0]
-Cc1nc([C@@H]2CC[C@H](CO)CC2)no1; [None]; [None]; [0]
-OC[C@H]1CC[C@@H](c2ncc3cc(Cl)ccc3n2)CC1; [None]; [None]; [0]
-Cn1cc([C@@H]2CC[C@H](CO)CC2)c2ccccc21; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ncc3ccccc3n2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](n2ncc3ccccc3c2=O)CC1; [None]; [None]; [0]
-COC(=O)[C@@H]1CC[C@H](Cc2ccc(C(=O)[O-])cc2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](n2cnc3ccc(C)cc32)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2cc3ccccn3n2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ccc3c(c2)CC(C)(C)O3)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ncc3cccn3n2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ncnc3c(C)csc23)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2noc(C)n2)CC1; [None]; [None]; [0]
-COC(=O)[C@@H]1CC[C@H](CCc2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ncc(Cl)cn2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ncc3cc(Cl)ccc3n2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2ncc3ccccc3n2)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2ncc3sccc3n2)CC1; [None]; [None]; [0]
-Cc1ccc2ncn([C@@H]3CC[C@H](C(=O)NC(C)C)CC3)c2c1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](n2ncc3ccccc3c2=O)CC1; [None]; [None]; [0]
-COC(=O)[C@H]1CC[C@@H](c2cn(C)c3ccccc23)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@@H]1CC[C@H](Nc2ncccn2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2ccccn2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@@H]1CC[C@H](Cc2cnccn2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2ccco2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@@H]1CC[C@H](Cc2nccc3ccccc23)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@@H]1CC[C@H](Cc2ccc(O)cc2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@@H]1CC[C@H](Cc2ccc(C(=O)[O-])cc2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2ncc3cccn3n2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2ncc(Br)cn2)CC1; [None]; [None]; [0]
-Cc1cc([C@@H]2CC[C@H](C(=O)NC(C)C)CC2)nc(N)n1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2cccc3ccc(O)cc23)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2cc3ccccn3n2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2ccc3c(c2)CC(C)(C)O3)CC1; [None]; [None]; [0]
-Cc1nc([C@@H]2CC[C@H](C(=O)NC(C)C)CC2)no1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2ncc(Cl)cn2)CC1; [None]; [None]; [0]
-Cc1csc2c([C@@H]3CC[C@H](C(=O)NC(C)C)CC3)ncnc12; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2ncc3sccc3n2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2ncc3cc(Cl)ccc3n2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@@H]1CC[C@H](CCc2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2ccc(OC(F)(F)F)cc2)CC1; [None]; [None]; [0]
-CC(C)NC(=O)[C@H]1CC[C@@H](c2cn(C)c3ccccc23)CC1; [None]; [None]; [0]
-C[C@H](Nc1ncc2ccccc2n1)c1ccc(F)cc1F; [None]; [None]; [0]
-C[C@H](Nc1ncc2cccn2n1)c1ccc(F)cc1F; [None]; [None]; [0]
-C[C@H](Nc1ccc2c(c1)CC(C)(C)O2)c1ccc(F)cc1F; [None]; [None]; [0]
-C[C@H](Nc1cc2ccccn2n1)c1ccc(F)cc1F; [None]; [None]; [0]
-Cc1nc(N[C@@H](C)c2ccc(F)cc2F)no1; [None]; [None]; [0]
-C[C@H](Nc1ncc(Cl)cn1)c1ccc(F)cc1F; [None]; [None]; [0]
-Cc1csc2c(N[C@@H](C)c3ccc(F)cc3F)ncnc12; [None]; [None]; [0]
-C[C@H](Nc1cn(C)c2ccccc12)c1ccc(F)cc1F; [None]; [None]; [0]
-C[C@H](Nc1ncc2sccc2n1)c1ccc(F)cc1F; [None]; [None]; [0]
-C[C@H](Nc1ncc2cc(Cl)ccc2n1)c1ccc(F)cc1F; [None]; [None]; [0]
-Cn1nc(-c2cc[nH]n2)c2ccccc21; [None]; [None]; [0]
-Clc1cccc2c(-c3cc[nH]n3)n[nH]c12; [None]; [None]; [0]
-Clc1[nH]ncc1-c1cc[nH]n1; [None]; [None]; [0]
-c1cc(-c2nnco2)n[nH]1; [None]; [None]; [0]
-c1cc(-c2nncs2)n[nH]1; [None]; [None]; [0]
-Fc1cnc(-c2cc[nH]n2)nc1; [None]; [None]; [0]
-Cc1nc(-c2cc[nH]n2)ccc1F; [None]; [None]; [0]
-COCc1cccc(-c2cc[nH]n2)c1; ['Brc1cc[nH]n1']; ['COCc1cccc(B(O)O)c1']; [0.999959]
-Cc1cccc(-c2ncc3ccccc3n2)c1; ['Cc1cccc(C(=N)N)c1', 'Cc1cccc(C=O)c1']; ['O=Cc1ccccc1I', 'Nc1ccccc1CO']; [0.999990344, 0.999990344]
-Cc1cccc(-n2cnc3ccc(C)cc32)c1; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; ['Cc1cccc(F)c1', 'Cc1cccc(Br)c1']; [0.962249696, 0.962249696]
-Clc1ccc(-c2[nH]ncc2-c2cc[nH]n2)cc1; [None]; [None]; [0]
-Cc1cccc(-c2ccccn2)c1; ['Brc1ccccn1', 'Brc1ccccn1', 'Cc1cccc(B(O)O)c1']; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cccc(B(O)O)c1', 'Clc1ccccn1']; [0.999829054, 0.999829054, 0.999829054]
-Cc1cccc(-c2ncc(Br)cn2)c1; ['Brc1cnc(Br)nc1']; ['Cc1cccc(B(O)O)c1']; [0.974461615]
-Cc1cccc(-n2ncc3ccccc3c2=O)c1; [None]; [None]; [0]
-Cc1cccc(-c2ccco2)c1; ['Brc1ccco1', 'Cc1cccc(N)c1']; ['Cc1cccc(B(O)O)c1', 'c1ccoc1']; [0.999642611, 0.999642611]
-Cc1cccc(-c2cccc(C3CCNCC3)c2)c1; ['Brc1cccc(C2CCNCC2)c1', 'Cc1cccc(B(O)O)c1']; ['Cc1cccc(B(O)O)c1', 'Clc1cccc(C2CCNCC2)c1']; [0.998224795, 0.998224795]
-Cc1cccc(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
-Cc1cccc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
-Cc1cccc(-c2ncc(Cl)cn2)c1; ['Cc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1cccc(B(O)O)c1', 'Cc1cccc(Br)c1']; ['Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1', 'Clc1cnc(Cl)nc1']; [0.999886155, 0.999886155, 0.999886155]
-Cc1cccc(-c2ncnc3c(C)csc23)c1; [None]; [None]; [0]
-Cc1cccc(-c2ncc3cc(Cl)ccc3n2)c1; ['Cc1cccc(C=O)c1']; ['Nc1ccc(Cl)cc1CO']; [0.999930859]
-Cc1cccc(-c2ccc3c(c2)CC(C)(C)O3)c1; [None]; [None]; [0]
-Cc1cccc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
-Cc1cccc(-c2noc(C)n2)c1; ['CC(=O)OC(C)=O', 'CC(=O)Cl']; ['Cc1cccc(C(=N)NO)c1', 'Cc1cccc(C(N)=NO)c1']; [0.999976039, 0.999976039]
-Cc1cccc(-c2ccc(OC(F)(F)F)cc2)c1; ['Cc1cccc(I)c1', 'Cc1cccc(Br)c1']; ['FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; [0.999887, 0.999887]
-Cc1cccc(-c2cn(C)c3ccccc23)c1; ['Cc1cccc(N)c1']; ['Cn1ccc2ccccc21']; [0.998873889]
-Cn1nc(-c2ccc(NC(N)=O)cc2)c2ccccc21; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cn[nH]c2Cl)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2nnco2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2n[nH]c3c(Cl)cccc23)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ncc(F)cn2)cc1; [None]; [None]; [0]
-Cc1nc(-c2ccc(NC(N)=O)cc2)ccc1F; [None]; [None]; [0]
-COCc1cccc(-c2ccc(NC(N)=O)cc2)c1; ['COCc1cccc(B(O)O)c1']; ['NC(=O)Nc1ccc(Br)cc1']; [0.999890924]
-NC(=O)Nc1ccc(-c2nncs2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc(NC(N)=O)cc3)c2c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Cc2ccc(C(=O)[O-])cc2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-n2ncc3ccccc3c2=O)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ncc3cccn3n2)cc1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccc(NC(N)=O)cc3)ccc2O1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ncc(Cl)cn2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc3ccccn3n2)cc1; [None]; [None]; [0]
-Cc1nc(-c2ccc(NC(N)=O)cc2)no1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ncc3sccc3n2)cc1; [None]; [None]; [0]
-Cc1csc2c(-c3ccc(NC(N)=O)cc3)ncnc12; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ncc3cc(Cl)ccc3n2)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccc(NC(N)=O)cc2)c2ccccc21; [None]; [None]; [0]
-NC(=O)Nc1ccc(CCc2c[nH]c3ccccc23)cc1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-Cn1nc(-c2cnc(-c3ccccc3)[nH]2)c2ccccc21; [None]; [None]; [0]
-Clc1cccc2c(-c3cnc(-c4ccccc4)[nH]3)n[nH]c12; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3nnco3)[nH]2)cc1; [None]; [None]; [0]
-Fc1cnc(-c2cnc(-c3ccccc3)[nH]2)nc1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3nncs3)[nH]2)cc1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
-COCc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
-Cc1nc(-c2cnc(-c3ccccc3)[nH]2)ccc1F; [None]; [None]; [0]
-OCCCc1n[nH]c2c(Cl)cccc12; [None]; [None]; [0]
-OCCCc1cn[nH]c1Cl; [None]; [None]; [0]
-Cn1nc(CCCO)c2ccccc21; [None]; [None]; [0]
-OCCCc1nncs1; [None]; [None]; [0]
-OCCCc1ncc(F)cn1; [None]; [None]; [0]
-COCc1cccc(CCCO)c1; [None]; [None]; [0]
-OCCCc1nnco1; [None]; [None]; [0]
-OCCCc1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-Cc1nc(CCCO)ccc1F; [None]; [None]; [0]
-N[C@H](c1cc2ccccn2n1)c1ccco1; [None]; [None]; [0]
-N[C@H](c1ncc2cccn2n1)c1ccco1; [None]; [None]; [0]
-N[C@H](c1ncc2ccccc2n1)c1ccco1; [None]; [None]; [0]
-Cc1csc2c([C@@H](N)c3ccco3)ncnc12; [None]; [None]; [0]
-N[C@H](c1ncc(Cl)cn1)c1ccco1; [None]; [None]; [0]
-CC1(C)Cc2cc([C@@H](N)c3ccco3)ccc2O1; [None]; [None]; [0]
-N[C@H](c1ncc2sccc2n1)c1ccco1; [None]; [None]; [0]
-N[C@H](c1ncc2cc(Cl)ccc2n1)c1ccco1; [None]; [None]; [0]
-Cc1nc([C@@H](N)c2ccco2)no1; [None]; [None]; [0]
-Cn1nc(-c2cnn(CCO)c2)c2ccccc21; [None]; [None]; [0]
-Cn1cc([C@@H](N)c2ccco2)c2ccccc21; [None]; [None]; [0]
-OCCn1cc(-c2cn[nH]c2Cl)cn1; [None]; [None]; [0]
-OCCn1cc(-c2nnco2)cn1; [None]; [None]; [0]
-OCCn1cc(-c2n[nH]c3c(Cl)cccc23)cn1; [None]; [None]; [0]
-OCCn1cc(-c2ncc(F)cn2)cn1; [None]; [None]; [0]
-Cc1nc(-c2cnn(CCO)c2)ccc1F; [None]; [None]; [0]
-OCCn1cc(-c2nncs2)cn1; [None]; [None]; [0]
-COCc1cccc(-c2cnn(CCO)c2)c1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['COCc1cccc(Br)c1']; [0.999998927]
-CC(C)(C)c1nc(NC(=O)C2CC2)cs1; [None]; [None]; [0]
-OCCn1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2n[nH]c3ccccc23)cs1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccccc2F)cs1; [None]; [None]; [0]
-Cn1nc(-c2csc(C(C)(C)C)n2)c2ccccc21; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2csc(C(C)(C)C)n2)cc1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc[nH]c2)cs1; [None]; [None]; [0]
-Cc1ncc(-c2csc(C(C)(C)C)n2)[nH]1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cn[nH]c2Cl)cs1; [None]; [None]; [0]
-COc1cccc(-c2csc(C(C)(C)C)n2)c1; ['CC(C)(C)C(N)=S']; ['COc1cccc(C(=O)CBr)c1']; [0.999997735]
-CC(C)(C)c1nc(-c2n[nH]c3c(Cl)cccc23)cs1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cccc(F)c2F)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1cccc(F)c1F']; [0.999999523]
-CC(C)(C)c1nc(-c2ncc(F)cn2)cs1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc(Cl)c(Cl)c2)cs1; ['CC(C)(C)C(N)=S', 'CC(C)(C)C(N)=S']; ['O=C(CCl)c1ccc(Cl)c(Cl)c1', 'O=C(CBr)c1ccc(Cl)c(Cl)c1']; [0.999999881, 0.999999881]
-CC(C)(C)c1nc(Nc2n[nH]c3ccccc23)cs1; [None]; [None]; [0]
-CCc1sccc1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2nnco2)cs1; [None]; [None]; [0]
-Cc1csc(-c2csc(C(C)(C)C)n2)n1; [None]; [None]; [0]
-COc1ccc2cc(-c3csc(C(C)(C)C)n3)ccc2c1; [None]; [None]; [0]
-Cc1cccc(-c2csc(C(C)(C)C)n2)n1; [None]; [None]; [0]
-Cc1nc(-c2csc(C(C)(C)C)n2)ccc1F; [None]; [None]; [0]
-COCc1cccc(-c2csc(C(C)(C)C)n2)c1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2nncs2)cs1; [None]; [None]; [0]
-Cc1ccc(-c2csc(C(C)(C)C)n2)nc1C; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cn[nH]c2-c2ccc(Cl)cc2)cs1; [None]; [None]; [0]
-COc1ccc(-c2csc(C(C)(C)C)n2)nc1; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2cnc3cccnn23)c1F; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cccc(-n4cnc5ccccc5c4=O)c3F)c2c1; [None]; [None]; [0]
-COc1ccc(-c2csc(C(C)(C)C)n2)cn1; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(Nc2ncccn2)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2ncc3ccccc3n2)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(Cc2nccc3ccccc23)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-n2ncc3ccccc3c2=O)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2cccc(C3CCNCC3)c2)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2ccccn2)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(Cc2cnccn2)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(Cc2ccc(O)cc2)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2ncc(Br)cn2)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2ccco2)c1F; [None]; [None]; [0]
-O=C([O-])c1ccc(Cc2cccc(-n3cnc4ccccc4c3=O)c2F)cc1; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2ncc3cccn3n2)c1F; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cccc(-n4cnc5ccccc5c4=O)c3F)ccc2O1; [None]; [None]; [0]
-Cc1cc(-c2cccc(-n3cnc4ccccc4c3=O)c2F)nc(N)n1; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2cccc3ccc(O)cc23)c1F; [None]; [None]; [0]
-Cc1csc2c(-c3cccc(-n4cnc5ccccc5c4=O)c3F)ncnc12; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2cc3ccccn3n2)c1F; [None]; [None]; [0]
-Cc1nc(-c2cccc(-n3cnc4ccccc4c3=O)c2F)no1; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2ncc(Cl)cn2)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(CCc2c[nH]c3ccccc23)c1F; [None]; [None]; [0]
-Cn1cc(-c2cccc(-n3cnc4ccccc4c3=O)c2F)c2ccccc21; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2ncc3cc(Cl)ccc3n2)c1F; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2ncc3sccc3n2)c1F; [None]; [None]; [0]
-COc1cnc(-c2n[nH]c3ccccc23)nc1; [None]; [None]; [0]
-O=c1c2ccccc2ncn1-c1cccc(-c2ccc(OC(F)(F)F)cc2)c1F; [None]; [None]; [0]
-COc1cnc(-c2cn[nH]c2Cl)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc[nH]c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(F)c2F)nc1; ['COc1cnc(Cl)nc1']; ['OB(O)c1cccc(F)c1F']; [0.997320116]
-COc1cnc(-c2nn(C)c3ccccc23)nc1; [None]; [None]; [0]
-COc1cnc(Nc2n[nH]c3ccccc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(Cl)c(Cl)c2)nc1; [None]; [None]; [0]
-COc1cnc(-c2ncc(F)cn2)nc1; [None]; [None]; [0]
-COc1cnc(-c2n[nH]c3c(Cl)cccc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2nnco2)nc1; [None]; [None]; [0]
-CCc1sccc1-c1ncc(OC)cn1; [None]; [None]; [0]
-COc1cnc(-c2c(N)cnn2C)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc3cc(OC)ccc3c2)nc1; ['COc1ccc2cc(B(O)O)ccc2c1']; ['COc1cnc(Br)nc1']; [0.999985933]
-COc1cnc(-c2cccc(C)n2)nc1; [None]; [None]; [0]
-COc1cnc(-c2nc(C)cs2)nc1; [None]; [None]; [0]
-COc1cnc(-c2nncs2)nc1; [None]; [None]; [0]
-COCc1cccc(-c2ncc(OC)cn2)c1; ['COCc1cccc(B(O)O)c1']; ['COc1cnc(Cl)nc1']; [0.999388456]
-COc1cnc(-c2ccc(OC)nc2)nc1; [None]; [None]; [0]
-COc1cnc(-c2cn[nH]c2-c2ccc(Cl)cc2)nc1; [None]; [None]; [0]
-c1ccc(Cn2cncn2)cc1; ['BrCc1ccccc1']; ['c1nc[nH]n1']; [0.99776113]
-COc1cnc(-c2ccc(F)c(C)n2)nc1; [None]; [None]; [0]
-COc1ccc(-c2ncc(OC)cn2)nc1; [None]; [None]; [0]
-Clc1cccc2c(Cn3cncn3)n[nH]c12; [None]; [None]; [0]
-Clc1[nH]ncc1Cn1cncn1; [None]; [None]; [0]
-Fc1cnc(Cn2cncn2)nc1; [None]; [None]; [0]
-c1ncn(Cc2nncs2)n1; [None]; [None]; [0]
-Cn1nc(Cn2cncn2)c2ccccc21; [None]; [None]; [0]
-c1ncn(Cc2nnco2)n1; [None]; [None]; [0]
-COCc1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2Cn2cncn2)cc1; [None]; [None]; [0]
-Cc1nc(Cn2cncn2)ccc1F; [None]; [None]; [0]
-C[C@H](c1ccccc1Cl)c1n[nH]c2ccccc12; [None]; [None]; [0]
-C[C@@H](c1ccccc1)c1ccccc1Cl; ['C[C@@H](O)c1ccccc1Cl']; ['c1ccccc1']; [0.79765451]
-C[C@@H](c1ccccc1F)c1ccccc1Cl; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc([C@H](C)c2ccccc2Cl)cc1; [None]; [None]; [0]
-Cc1ncc([C@H](C)c2ccccc2Cl)[nH]1; [None]; [None]; [0]
-C[C@H](c1ccccc1Cl)c1nn(C)c2ccccc12; [None]; [None]; [0]
-C[C@H](c1ccccc1Cl)c1cn[nH]c1Cl; [None]; [None]; [0]
-C[C@@H](c1cc[nH]c1)c1ccccc1Cl; [None]; [None]; [0]
-C[C@@H](c1ccncn1)c1ccccc1Cl; [None]; [None]; [0]
-C[C@H](c1ccccc1Cl)c1cccc(F)c1F; [None]; [None]; [0]
-COc1cccc([C@H](C)c2ccccc2Cl)c1; [None]; [None]; [0]
-C[C@H](c1ccccc1Cl)c1n[nH]c2c(Cl)cccc12; [None]; [None]; [0]
-C[C@@H](c1ncc(F)cn1)c1ccccc1Cl; [None]; [None]; [0]
-C[C@@H](c1ccc(Cl)c(Cl)c1)c1ccccc1Cl; [None]; [None]; [0]
-C[C@@H](c1nnco1)c1ccccc1Cl; [None]; [None]; [0]
-COc1ccc2cc([C@H](C)c3ccccc3Cl)ccc2c1; [None]; [None]; [0]
-C[C@@H](c1nncs1)c1ccccc1Cl; [None]; [None]; [0]
-CCc1sccc1[C@H](C)c1ccccc1Cl; [None]; [None]; [0]
-C[C@@H](c1ccc2ccccc2c1)c1ccccc1Cl; [None]; [None]; [0]
-Cc1csc([C@H](C)c2ccccc2Cl)n1; [None]; [None]; [0]
-Cc1ccc([C@H](C)c2ccccc2Cl)nc1C; [None]; [None]; [0]
-C[C@H](c1ccccc1Cl)c1c(N)cnn1C; [None]; [None]; [0]
-COc1ccc([C@H](C)c2ccccc2Cl)cn1; [None]; [None]; [0]
-Cc1nc([C@H](C)c2ccccc2Cl)ccc1F; [None]; [None]; [0]
-Cc1cccc([C@H](C)c2ccccc2Cl)n1; [None]; [None]; [0]
-COc1ccc([C@H](C)c2ccccc2Cl)nc1; [None]; [None]; [0]
-C[C@H](c1ccccc1Cl)c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-COCc1cccc([C@H](C)c2ccccc2Cl)c1; [None]; [None]; [0]
-Cc1ncc(-c2nn(C)c3ccccc23)[nH]1; [None]; [None]; [0]
-C[C@@H](c1cccc(C(F)(F)F)c1)c1ccccc1Cl; [None]; [None]; [0]
-Cc1ncc(-c2n[nH]c3c(Cl)cccc23)[nH]1; [None]; [None]; [0]
-Cc1ncc(-c2nnco2)[nH]1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(F)c(C)n2)[nH]1; [None]; [None]; [0]
-Cc1ncc(-c2cn[nH]c2Cl)[nH]1; [None]; [None]; [0]
-Cc1ncc(-c2nncs2)[nH]1; [None]; [None]; [0]
-CC[NH+](CC)c1ncc2ccccc2n1; [None]; [None]; [0]
-Cc1ncc(-c2ncc(F)cn2)[nH]1; [None]; [None]; [0]
-Cc1ncc(-c2cn[nH]c2-c2ccc(Cl)cc2)[nH]1; [None]; [None]; [0]
-COCc1cccc(-c2cnc(C)[nH]2)c1; ['COCc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Cc1ncc(Br)[nH]1']; [0.997790456]
-CC[NH+](CC)c1cnc2cccnn12; [None]; [None]; [0]
-CC[NH+](CC)c1ccccn1; [None]; [None]; [0]
-CC[NH+](CC)c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-CC[NH+](CC)c1ccco1; [None]; [None]; [0]
-CC[NH+](CC)c1ncc(Br)cn1; [None]; [None]; [0]
-CC[NH+](CC)c1ncc2cccn2n1; [None]; [None]; [0]
-CC[NH+](CC)c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-CC[NH+](CC)c1cc2ccccn2n1; [None]; [None]; [0]
-CC[NH+](CC)c1ncc(Cl)cn1; [None]; [None]; [0]
-CC[NH+](CC)c1noc(C)n1; [None]; [None]; [0]
-CC[NH+](CC)c1ncnc2c(C)csc12; [None]; [None]; [0]
-CC[NH+](CC)c1ncc2sccc2n1; [None]; [None]; [0]
-CC[NH+](CC)c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-CC[NH+](CC)c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2ncc3ccccc3n2)CC1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2ncc3cccn3n2)CC1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2ncc(Cl)cn2)CC1; ['CC(=O)N1CCCNCC1']; ['Clc1cnc(Cl)nc1']; [0.99975723]
-CC[NH+](CC)c1cn(C)c2ccccc12; [None]; [None]; [0]
-CC(=O)N1CCCN(c2ccc3c(c2)CC(C)(C)O3)CC1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cc3ccccn3n2)CC1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2noc(C)n2)CC1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2ncc3sccc3n2)CC1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2ncnc3c(C)csc23)CC1; ['CC(=O)N1CCCNCC1']; ['Cc1csc2c(Cl)ncnc12']; [0.999934673]
-CC(=O)N1CCCN(c2cn(C)c3ccccc23)CC1; [None]; [None]; [0]
-CCCn1cnc(NC(=O)C2CC2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2ccccc2F)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2ncc3cc(Cl)ccc3n2)CC1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(S(=O)(=O)NC)cc2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2n[nH]c3ccccc23)n1; [None]; [None]; [0]
-CCCn1cnc(-c2cnc(C)[nH]2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2nn(C)c3ccccc23)n1; [None]; [None]; [0]
-CCCn1cnc(-c2cn[nH]c2Cl)n1; [None]; [None]; [0]
-CCCn1cnc(-c2n[nH]c3c(Cl)cccc23)n1; [None]; [None]; [0]
-CCCn1cnc(Nc2n[nH]c3ccccc23)n1; [None]; [None]; [0]
-CCCn1cnc(-c2cc[nH]c2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(F)c2F)n1; [None]; [None]; [0]
-CCCn1cnc(-c2nnco2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(OC)c2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(Cl)c(Cl)c2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3cc(OC)ccc3c2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2ncc(F)cn2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2c(N)cnn2C)n1; [None]; [None]; [0]
-CCCn1cnc(-c2nncs2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2ccsc2CC)n1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(C)n2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(C)c(C)n2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2nc(C)cs2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2cccc(COC)c2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(F)c(C)n2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2cn[nH]c2-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(OC)nc2)n1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1ccccc1F; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(OC)cn2)n1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1ccccc1; [None]; [None]; [0]
-Cc1ncc(O[C@H](C)C[NH+](C)C)[nH]1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1n[nH]c2ccccc12; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1nn(C)c2ccccc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(O[C@H](C)C[NH+](C)C)cc1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1ccncn1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1cc[nH]c1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1cn[nH]c1Cl; [None]; [None]; [0]
-COc1cccc(O[C@H](C)C[NH+](C)C)c1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1n[nH]c2c(Cl)cccc12; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1cccc(F)c1F; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1nnco1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1ncc(F)cn1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1ccc(Cl)c(Cl)c1; [None]; [None]; [0]
-CCc1sccc1O[C@H](C)C[NH+](C)C; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1ccc2ccccc2c1; [None]; [None]; [0]
-COc1ccc2cc(O[C@H](C)C[NH+](C)C)ccc2c1; [None]; [None]; [0]
-Cc1cccc(O[C@H](C)C[NH+](C)C)n1; [None]; [None]; [0]
-Cc1csc(O[C@H](C)C[NH+](C)C)n1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1nncs1; [None]; [None]; [0]
-Cc1ccc(O[C@H](C)C[NH+](C)C)nc1C; [None]; [None]; [0]
-Cc1nc(O[C@H](C)C[NH+](C)C)ccc1F; [None]; [None]; [0]
-COCc1cccc(O[C@H](C)C[NH+](C)C)c1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-COc1ccc(O[C@H](C)C[NH+](C)C)cn1; [None]; [None]; [0]
-COc1ccc(O[C@H](C)C[NH+](C)C)nc1; [None]; [None]; [0]
-Cn1cc(-c2cn[nH]c2Cl)cn1; [None]; [None]; [0]
-Cn1cc(-c2nn(C)c3ccccc23)cn1; [None]; [None]; [0]
-C[C@H](C[NH+](C)C)Oc1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-Cn1cc(-c2ncc(F)cn2)cn1; [None]; [None]; [0]
-Cn1cc(-c2n[nH]c3c(Cl)cccc23)cn1; [None]; [None]; [0]
-Cn1cc(-c2nnco2)cn1; [None]; [None]; [0]
-COCc1cccc(-c2cnn(C)c2)c1; ['COCc1cccc(B(O)O)c1']; ['Cn1cc(I)cn1']; [0.999992728]
-Cc1nc(-c2cnn(C)c2)ccc1F; ['Cc1nc(Br)ccc1F', 'Cc1nc(Cl)ccc1F']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.999998212, 0.999998212]
-Cn1cc(-c2nncs2)cn1; [None]; [None]; [0]
-CSc1nc(-c2n[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
-Cn1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
-CSc1nc(NC(=O)C2CC2)c[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c[nH]c(SC)n2)cc1; [None]; [None]; [0]
-CSc1nc(-c2nn(C)c3ccccc23)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2ccccc2F)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2cn[nH]c2Cl)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2cc[nH]c2)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2cnc(C)[nH]2)c[nH]1; [None]; [None]; [0]
-CSc1nc(Nc2n[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
-COc1cccc(-c2c[nH]c(SC)n2)c1; [None]; [None]; [0]
-CSc1nc(-c2n[nH]c3c(Cl)cccc23)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2nnco2)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2ncc(F)cn2)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2cccc(F)c2F)c[nH]1; [None]; [None]; [0]
-COc1ccc2cc(-c3c[nH]c(SC)n3)ccc2c1; [None]; [None]; [0]
-CCc1sccc1-c1c[nH]c(SC)n1; [None]; [None]; [0]
-CSc1nc(-c2ccc(Cl)c(Cl)c2)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2nncs2)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2c(N)cnn2C)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2nc(C)cs2)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2ccc(C)c(C)n2)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2cccc(C)n2)c[nH]1; [None]; [None]; [0]
-CSc1nc(-c2ccc(F)c(C)n2)c[nH]1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c(SC)n2)cn1; [None]; [None]; [0]
-COCc1cccc(-c2c[nH]c(SC)n2)c1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c(SC)n2)nc1; [None]; [None]; [0]
-CC(C)c1oncc1NC(=O)C1CC1; [None]; [None]; [0]
-CSc1nc(-c2cn[nH]c2-c2ccc(Cl)cc2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1n[nH]c2ccccc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnoc2C(C)C)cc1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccccc1F; [None]; [None]; [0]
-CC(C)c1oncc1-c1nn(C)c2ccccc12; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc[nH]c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cn[nH]c1Cl; [None]; [None]; [0]
-Cc1ncc(-c2cnoc2C(C)C)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2cnoc2C(C)C)c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1n[nH]c2c(Cl)cccc12; [None]; [None]; [0]
-CC(C)c1oncc1Nc1n[nH]c2ccccc12; [None]; [None]; [0]
-CC(C)c1oncc1-c1ncc(F)cn1; [None]; [None]; [0]
-CC(C)c1oncc1-c1nnco1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cccc(F)c1F; [None]; [None]; [0]
-COc1ccc2cc(-c3cnoc3C(C)C)ccc2c1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc(Cl)c(Cl)c1; [None]; [None]; [0]
-CCc1sccc1-c1cnoc1C(C)C; [None]; [None]; [0]
-CC(C)c1oncc1-c1nncs1; [None]; [None]; [0]
-CC(C)c1oncc1-c1c(N)cnn1C; [None]; [None]; [0]
-Cc1csc(-c2cnoc2C(C)C)n1; [None]; [None]; [0]
-Cc1ccc(-c2cnoc2C(C)C)nc1C; [None]; [None]; [0]
-Cc1nc(-c2cnoc2C(C)C)ccc1F; [None]; [None]; [0]
-Cc1cccc(-c2cnoc2C(C)C)n1; [None]; [None]; [0]
-COc1ccc(-c2cnoc2C(C)C)cn1; [None]; [None]; [0]
-COCc1cccc(-c2cnoc2C(C)C)c1; [None]; [None]; [0]
-CC(C)Oc1ncc2ccccc2n1; ['CC(C)[O-]']; ['Clc1ncc2ccccc2n1']; [0.999342]
-COc1ccc(-c2cnoc2C(C)C)nc1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-CC(C)Oc1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-CC(C)Oc1ncc2cccn2n1; [None]; [None]; [0]
-CC(C)Oc1ncc(Cl)cn1; ['CC(C)O']; ['Clc1cnc(Cl)nc1']; [0.995429873]
-CC(C)Oc1cc2ccccn2n1; [None]; [None]; [0]
-Cc1csc2c(OC(C)C)ncnc12; ['CC(C)O']; ['Cc1csc2c(Cl)ncnc12']; [0.993225276]
-Cc1nc(OC(C)C)no1; [None]; [None]; [0]
-CC(C)Oc1ncc2sccc2n1; [None]; [None]; [0]
-CCNC(=O)Nc1ccccc1; []; []; []
-CC(C)Oc1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-CC(C)Oc1cn(C)c2ccccc12; [None]; [None]; [0]
-CCNC(=O)Nc1n[nH]c2c(Cl)cccc12; ['CCN=C=O']; ['Nc1n[nH]c2c(Cl)cccc12']; [0.999888301]
-CCNC(=O)Nc1cn[nH]c1Cl; ['CCN=C=O']; ['Nc1cn[nH]c1Cl']; [0.984566271]
-CCNC(=O)Nc1nn(C)c2ccccc12; ['CCN=C=O']; ['Cn1nc(N)c2ccccc21']; [0.997949302]
-CCNC(=O)Nc1ncc(F)cn1; ['CCN=C=O']; ['Nc1ncc(F)cn1']; [0.999798477]
-CCNC(=O)Nc1cccc(COC)c1; ['CCN=C=O']; ['COCc1cccc(N)c1']; [0.999971509]
-CCNC(=O)Nc1nncs1; ['CCNC(N)=O']; ['Nc1nncs1']; [0.985346317]
-CCNC(=O)Nc1nnco1; [None]; [None]; [0]
-CCNC(=O)Nc1ccc(F)c(C)n1; ['CCN=C=O', 'CCNC(N)=O']; ['Cc1nc(N)ccc1F', 'Cc1nc(Cl)ccc1F']; [0.999995828, 0.999995828]
-CCNC(=O)Nc1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-Cc1ccc2ncn(CNCCS(C)(=O)=O)c2c1; [None]; [None]; [0]
-CS(=O)(=O)CCNCc1ccccn1; ['CS(=O)(=O)CCN']; ['O=Cc1ccccn1']; [0.989162207]
-CS(=O)(=O)CCNCc1ncc2ccccc2n1; [None]; [None]; [0]
-CS(=O)(=O)CCNCc1cnc2cccnn12; [None]; [None]; [0]
-CS(=O)(=O)CCNCc1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-CS(=O)(=O)CCNCn1ncc2ccccc2c1=O; [None]; [None]; [0]
-CS(=O)(=O)CCNCc1ncc(Br)cn1; [None]; [None]; [0]
-CS(=O)(=O)CCNCc1ccco1; ['CS(=O)(=O)CCN']; ['O=Cc1ccco1']; [0.941150904]
-CS(=O)(=O)CCNCc1ncc2cccn2n1; [None]; [None]; [0]
-CS(=O)(=O)CCNCc1cc2ccccn2n1; [None]; [None]; [0]
-CC1(C)Cc2cc(CNCCS(C)(=O)=O)ccc2O1; [None]; [None]; [0]
-CS(=O)(=O)CCNCc1ncc(Cl)cn1; [None]; [None]; [0]
-Cc1nc(CNCCS(C)(=O)=O)no1; [None]; [None]; [0]
-Cc1csc2c(CNCCS(C)(=O)=O)ncnc12; [None]; [None]; [0]
-CS(=O)(=O)CCNCc1ccc(OC(F)(F)F)cc1; ['CS(=O)(=O)CCN']; ['FC(F)(F)Oc1ccc(CBr)cc1']; [0.999960065]
-CS(=O)(=O)CCNCc1ncc2sccc2n1; [None]; [None]; [0]
-Cn1cc(CNCCS(C)(=O)=O)c2ccccc21; ['C=CS(C)(=O)=O']; ['Cn1cc(CN)c2ccccc21']; [0.999063075]
-CS(=O)(=O)CCNCc1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-c1ccc2c(-c3cnn4ccccc34)n[nH]c2c1; [None]; [None]; [0]
-Fc1ccccc1-c1cnn2ccccc12; [None]; [None]; [0]
-O=C(Nc1cnn2ccccc12)C1CC1; [None]; [None]; [0]
-Cn1nc(-c2cnn3ccccc23)c2ccccc21; [None]; [None]; [0]
-Cc1ncc(-c2cnn3ccccc23)[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnn3ccccc23)cc1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1cnn2ccccc12; [None]; [None]; [0]
-c1ccn2ncc(-c3cc[nH]c3)c2c1; [None]; [None]; [0]
-Clc1cccc2c(-c3cnn4ccccc34)n[nH]c12; [None]; [None]; [0]
-c1ccc2c(Nc3cnn4ccccc34)n[nH]c2c1; [None]; [None]; [0]
-COc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
-c1ccn2ncc(-c3nnco3)c2c1; [None]; [None]; [0]
-Fc1cccc(-c2cnn3ccccc23)c1F; [None]; [None]; [0]
-Fc1cnc(-c2cnn3ccccc23)nc1; [None]; [None]; [0]
-Clc1ccc(-c2cnn3ccccc23)cc1Cl; [None]; [None]; [0]
-COc1ccc2cc(-c3cnn4ccccc34)ccc2c1; [None]; [None]; [0]
-c1ccn2ncc(-c3nncs3)c2c1; [None]; [None]; [0]
-CCc1sccc1-c1cnn2ccccc12; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnn2ccccc12; [None]; [None]; [0]
-Cc1csc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
-Cc1cccc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
-Cc1ccc(-c2cnn3ccccc23)nc1C; [None]; [None]; [0]
-COc1ccc(-c2cnn3ccccc23)cn1; [None]; [None]; [0]
-Cc1nc(-c2cnn3ccccc23)ccc1F; [None]; [None]; [0]
-COCc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
-c1ccc(CNc2ccccc2)cc1; ['Nc1ccccc1', 'Ic1ccccc1']; ['OCc1ccccc1', 'NCc1ccccc1']; [0.998514831, 0.998514831]
-COc1ccc(-c2cnn3ccccc23)nc1; [None]; [None]; [0]
-Clc1cccc2c(NCc3ccccc3)n[nH]c12; ['Nc1n[nH]c2c(Cl)cccc12']; ['O=Cc1ccccc1']; [0.993984759]
-Cn1nc(NCc2ccccc2)c2ccccc21; ['Cn1nc(Br)c2ccccc21', 'BrCc1ccccc1']; ['NCc1ccccc1', 'Cn1nc(N)c2ccccc21']; [0.999614239, 0.999614239]
-Clc1ccc(-c2[nH]ncc2-c2cnn3ccccc23)cc1; [None]; [None]; [0]
-Clc1[nH]ncc1NCc1ccccc1; ['Nc1cn[nH]c1Cl', 'ClCc1ccccc1']; ['O=Cc1ccccc1', 'Nc1cn[nH]c1Cl']; [0.990274787, 0.990274787]
-c1ccc(CNc2nncs2)cc1; ['Brc1nncs1', 'Nc1nncs1']; ['NCc1ccccc1', 'O=Cc1ccccc1']; [0.999521494, 0.999521494]
-c1ccc(CNc2nnco2)cc1; [None]; [None]; [0]
-Fc1cnc(NCc2ccccc2)nc1; ['Nc1ncc(F)cn1']; ['OCc1ccccc1']; [0.997482836]
-Cc1nc(NCc2ccccc2)ccc1F; [None]; [None]; [0]
-COCc1cccc(NCc2ccccc2)c1; ['COCc1cccc(B(O)O)c1', 'COCc1cccc(N)c1']; ['NCc1ccccc1', 'O=Cc1ccccc1']; [0.990979314, 0.990979314]
-Clc1ccc(-c2[nH]ncc2NCc2ccccc2)cc1; [None]; [None]; [0]
-OC[C@@H](Nc1ccccc1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-OC[C@@H](Nc1ccccc1F)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-OC[C@@H](Nc1n[nH]c2ccccc12)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(N[C@H](CO)c2ccc(F)c(Cl)c2)cc1; [None]; [None]; [0]
-Cc1ncc(N[C@H](CO)c2ccc(F)c(Cl)c2)[nH]1; [None]; [None]; [0]
-Cn1nc(N[C@H](CO)c2ccc(F)c(Cl)c2)c2ccccc21; [None]; [None]; [0]
-OC[C@@H](Nc1cn[nH]c1Cl)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-OC[C@@H](Nc1ccncn1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-OC[C@@H](Nc1cc[nH]c1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-OC[C@@H](Nc1n[nH]c2c(Cl)cccc12)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-OC[C@@H](Nc1cccc(F)c1F)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-COc1cccc(N[C@H](CO)c2ccc(F)c(Cl)c2)c1; [None]; [None]; [0]
-OC[C@@H](Nc1nnco1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-OC[C@@H](Nc1ccc(Cl)c(Cl)c1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-OC[C@@H](Nc1ccc2ccccc2c1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-OC[C@@H](Nc1ncc(F)cn1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-CCc1sccc1N[C@H](CO)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-COc1ccc2cc(N[C@H](CO)c3ccc(F)c(Cl)c3)ccc2c1; [None]; [None]; [0]
-OC[C@@H](Nc1nncs1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-Cc1cccc(N[C@H](CO)c2ccc(F)c(Cl)c2)n1; [None]; [None]; [0]
-Cc1csc(N[C@H](CO)c2ccc(F)c(Cl)c2)n1; [None]; [None]; [0]
-Cc1ccc(N[C@H](CO)c2ccc(F)c(Cl)c2)nc1C; [None]; [None]; [0]
-COCc1cccc(N[C@H](CO)c2ccc(F)c(Cl)c2)c1; [None]; [None]; [0]
-Cc1nc(N[C@H](CO)c2ccc(F)c(Cl)c2)ccc1F; [None]; [None]; [0]
-COc1ccc(N[C@H](CO)c2ccc(F)c(Cl)c2)cn1; [None]; [None]; [0]
-OC[C@@H](Nc1cccc(C(F)(F)F)c1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(N[C@H](CO)c2ccc(F)c(Cl)c2)nc1; [None]; [None]; [0]
-OC[C@@H](Nc1cn[nH]c1-c1ccc(Cl)cc1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-Cc1cc(-c2cn[nH]c2Cl)no1; [None]; [None]; [0]
-Cc1cc(-c2nn(C)c3ccccc23)no1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]c3c(Cl)cccc23)no1; [None]; [None]; [0]
-Cc1cc(-c2ncc(F)cn2)no1; [None]; [None]; [0]
-Cc1cc(-c2nnco2)no1; [None]; [None]; [0]
-COCc1cccc(-c2cc(C)on2)c1; [None]; [None]; [0]
-Cc1cc(-c2ccc(F)c(C)n2)no1; [None]; [None]; [0]
-OC[C@@H](Nc1ccccc1)c1ccccc1; ['Nc1ccccc1']; ['c1ccc([C@H]2CO2)cc1']; [0.987869561]
-Cc1cc(-c2nncs2)no1; [None]; [None]; [0]
-Cc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)no1; [None]; [None]; [0]
-Cn1nc(N[C@H](CO)c2ccccc2)c2ccccc21; [None]; [None]; [0]
-OC[C@@H](Nc1n[nH]c2c(Cl)cccc12)c1ccccc1; [None]; [None]; [0]
-OC[C@@H](Nc1cn[nH]c1Cl)c1ccccc1; [None]; [None]; [0]
-OC[C@@H](Nc1nncs1)c1ccccc1; ['Brc1nncs1']; ['N[C@H](CO)c1ccccc1']; [0.994547486]
-OC[C@@H](Nc1ncc(F)cn1)c1ccccc1; ['Fc1cnc(Cl)nc1']; ['N[C@H](CO)c1ccccc1']; [0.999897957]
-OC[C@@H](Nc1nnco1)c1ccccc1; [None]; [None]; [0]
-COCc1cccc(N[C@H](CO)c2ccccc2)c1; ['COCc1cccc(Br)c1']; ['N[C@H](CO)c1ccccc1']; [0.998733699]
-Cc1nc(N[C@H](CO)c2ccccc2)ccc1F; ['Cc1nc(Cl)ccc1F']; ['N[C@H](CO)c1ccccc1']; [0.999646068]
-Clc1[nH]ncc1-c1cnoc1; [None]; [None]; [0]
-OC[C@@H](Nc1cn[nH]c1-c1ccc(Cl)cc1)c1ccccc1; [None]; [None]; [0]
-Cn1nc(-c2cnoc2)c2ccccc21; [None]; [None]; [0]
-Clc1cccc2c(-c3cnoc3)n[nH]c12; [None]; [None]; [0]
-c1nnc(-c2cnoc2)o1; [None]; [None]; [0]
-Cc1nc(-c2cnoc2)ccc1F; ['Brc1cnoc1']; ['Cc1ncccc1F']; [0.859589815]
-Fc1cnc(-c2cnoc2)nc1; [None]; [None]; [0]
-COCc1cccc(-c2cnoc2)c1; ['Brc1cnoc1']; ['COCc1cccc(B(O)O)c1']; [0.989224613]
-c1nnc(-c2cnoc2)s1; [None]; [None]; [0]
-c1cncc(CCNc2ncc3ccccc3n2)c1; ['Clc1ncc2ccccc2n1']; ['NCCc1cccnc1']; [0.999958277]
-Clc1ccc(-c2[nH]ncc2-c2cnoc2)cc1; [None]; [None]; [0]
-c1cncc(CCNc2ncc3cccn3n2)c1; [None]; [None]; [0]
-CC1(C)Cc2cc(NCCc3cccnc3)ccc2O1; [None]; [None]; [0]
-Clc1cnc(NCCc2cccnc2)nc1; ['Clc1cnc(Br)nc1', 'CSc1ncc(Cl)cn1']; ['NCCc1cccnc1', 'NCCc1cccnc1']; [0.99967134, 0.99967134]
-c1cncc(CCNc2cc3ccccn3n2)c1; [None]; [None]; [0]
-Cc1csc2c(NCCc3cccnc3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['NCCc1cccnc1']; [0.999997854]
-Cc1nc(NCCc2cccnc2)no1; [None]; [None]; [0]
-c1cncc(CCNc2ncc3sccc3n2)c1; [None]; [None]; [0]
-Clc1ccc2nc(NCCc3cccnc3)ncc2c1; [None]; [None]; [0]
-Cc1cc(CNc2ncc3ccccc3n2)on1; ['Cc1cc(CO)on1']; ['Nc1ncc2ccccc2n1']; [0.999902844]
-Cn1cc(NCCc2cccnc2)c2ccccc21; [None]; [None]; [0]
-Cc1cc(CNc2cccc(C3CCNCC3)c2)on1; [None]; [None]; [0]
-Cc1cc(CNc2cnc3cccnn23)on1; [None]; [None]; [0]
-Cc1cc(CNc2ccccn2)on1; [None]; [None]; [0]
-Cc1cc(CNc2ncc3cccn3n2)on1; [None]; [None]; [0]
-Cc1cc(CNc2ccco2)on1; [None]; [None]; [0]
-Cc1cc(CNc2ncc(Br)cn2)on1; [None]; [None]; [0]
-Cc1cc(CNc2cc3ccccn3n2)on1; [None]; [None]; [0]
-Cc1cc(CNc2ccc3c(c2)CC(C)(C)O3)on1; [None]; [None]; [0]
-Cc1cc(CNc2ncc(Cl)cn2)on1; [None]; [None]; [0]
-Cc1cc(CNc2ncnc3c(C)csc23)on1; [None]; [None]; [0]
-Cc1cc(CNc2noc(C)n2)on1; [None]; [None]; [0]
-Cc1cc(CNc2ccc(OC(F)(F)F)cc2)on1; ['Cc1cc(CO)on1']; ['Nc1ccc(OC(F)(F)F)cc1']; [0.999159932]
-Cc1cc(CNc2ncc3sccc3n2)on1; [None]; [None]; [0]
-Cc1cc(CNc2ncc3cc(Cl)ccc3n2)on1; [None]; [None]; [0]
-Cc1cc(CNc2cn(C)c3ccccc23)on1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(n2cnc3ccc(C)cc32)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2cnc3cccnn23)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ncc3ccccc3n2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(Cc2nccc3ccccc23)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(n2ncc3ccccc3c2=O)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(Nc2ncccn2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ccccn2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(Cc2ccc(C(=O)[O-])cc2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(Cc2ccc(O)cc2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(Cc2cnccn2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2cc(C)nc(N)n2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ccco2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ncc(Br)cn2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2cc3ccccn3n2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ncc3cccn3n2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ncc(Cl)cn2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ccc3c(c2)CC(C)(C)O3)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2cccc3ccc(O)cc23)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ncc3sccc3n2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ncnc3c(C)csc23)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2noc(C)n2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ccc(OC(F)(F)F)cc2)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(CCc2c[nH]c3ccccc23)C1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2ncc3cc(Cl)ccc3n2)C1; [None]; [None]; [0]
-C[C@H](Nc1ncc2ccccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
-C[C@H](Nc1ncc2cccn2n1)c1ccc(F)cc1; [None]; [None]; [0]
-CCN(CC)C(=O)[C@H]1CCCN(c2cn(C)c3ccccc23)C1; [None]; [None]; [0]
-C[C@H](Nc1ncc(Cl)cn1)c1ccc(F)cc1; ['C[C@H](N)c1ccc(F)cc1', 'C[C@H](N)c1ccc(F)cc1', 'CSc1ncc(Cl)cn1']; ['Clc1cnc(Br)nc1', 'Clc1cnc(I)nc1', 'C[C@H](N)c1ccc(F)cc1']; [0.999903917, 0.999903917, 0.999903917]
-C[C@H](Nc1ccc2c(c1)CC(C)(C)O2)c1ccc(F)cc1; [None]; [None]; [0]
-C[C@H](Nc1cc2ccccn2n1)c1ccc(F)cc1; [None]; [None]; [0]
-Cc1nc(N[C@@H](C)c2ccc(F)cc2)no1; [None]; [None]; [0]
-C[C@H](Nc1ncc2sccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
-Cc1csc2c(N[C@@H](C)c3ccc(F)cc3)ncnc12; ['C[C@H](N)c1ccc(F)cc1']; ['Cc1csc2c(Cl)ncnc12']; [0.999994636]
-CN(c1ccccc1)C1CCCCC1; ['CNC1CCCCC1', 'CNC1CCCCC1', 'CNc1ccccc1']; ['Ic1ccccc1', 'Fc1ccccc1', 'O=C1CCCCC1']; [0.995088279, 0.995088279, 0.995088279]
-C[C@H](Nc1cn(C)c2ccccc12)c1ccc(F)cc1; ['C[C@H](N)c1ccc(F)cc1']; ['Cn1ccc2ccccc21']; [0.924158]
-CN(c1n[nH]c2c(Cl)cccc12)C1CCCCC1; [None]; [None]; [0]
-C[C@H](Nc1ncc2cc(Cl)ccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
-CN(c1cn[nH]c1Cl)C1CCCCC1; [None]; [None]; [0]
-CN(c1ncc(F)cn1)C1CCCCC1; ['CNC1CCCCC1']; ['Fc1cnc(Cl)nc1']; [0.994822621]
-CN(c1nn(C)c2ccccc12)C1CCCCC1; [None]; [None]; [0]
-CN(c1nnco1)C1CCCCC1; [None]; [None]; [0]
-CN(c1nncs1)C1CCCCC1; [None]; [None]; [0]
-COCc1cccc(N(C)C2CCCCC2)c1; ['CNC1CCCCC1']; ['COCc1cccc(Br)c1']; [0.99977988]
-Cc1nc(N(C)C2CCCCC2)ccc1F; ['CNC1CCCCC1']; ['Cc1nc(Cl)ccc1F']; [0.998583794]
-CN(c1cn[nH]c1-c1ccc(Cl)cc1)C1CCCCC1; [None]; [None]; [0]
-Oc1ncccc1-c1cn[nH]c1Cl; [None]; [None]; [0]
-Cn1nc(-c2cccnc2O)c2ccccc21; [None]; [None]; [0]
-Oc1ncccc1-c1n[nH]c2c(Cl)cccc12; [None]; [None]; [0]
-Oc1ncccc1-c1ncc(F)cn1; [None]; [None]; [0]
-COCc1cccc(-c2cccnc2O)c1; ['COCc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'COCc1cccc(B(O)O)c1']; ['Oc1ncccc1Br', 'Oc1ncccc1Br']; [0.999990106, 0.999990106]
-Oc1ncccc1-c1nnco1; [None]; [None]; [0]
-Oc1ncccc1-c1nncs1; [None]; [None]; [0]
-Cc1nc(-c2cccnc2O)ccc1F; [None]; [None]; [0]
-Oc1ccc2nc(-c3cn[nH]c3Cl)[nH]c2c1; [None]; [None]; [0]
-Oc1ncccc1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
-Oc1ccc2nc(-c3ncc(F)cn3)[nH]c2c1; [None]; [None]; [0]
-Cn1nc(-c2nc3ccc(O)cc3[nH]2)c2ccccc21; [None]; [None]; [0]
-Oc1ccc2nc(-c3n[nH]c4c(Cl)cccc34)[nH]c2c1; [None]; [None]; [0]
-Oc1ccc2nc(-c3nnco3)[nH]c2c1; [None]; [None]; [0]
-COCc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
-Oc1ccc2nc(-c3nncs3)[nH]c2c1; [None]; [None]; [0]
-Cc1nc(-c2nc3ccc(O)cc3[nH]2)ccc1F; [None]; [None]; [0]
-COCCNC(=O)C1CC1; ['COCCN', 'CCOC(=O)C1CC1']; ['O=C(O)C1CC1', 'COCCN']; [0.999253452, 0.999253452]
-Oc1ccc2nc(-c3cn[nH]c3-c3ccc(Cl)cc3)[nH]c2c1; [None]; [None]; [0]
-COCCc1ccc(O)c(C)c1; [None]; [None]; [0]
-Cn1nc(-c2ccc3c(c2)OCO3)c2ccccc21; ['Cn1nc(Br)c2ccccc21']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999994516]
-COCCNc1n[nH]c2ccccc12; ['COCCN', 'Brc1n[nH]c2ccccc12', 'COCCCl']; ['Clc1n[nH]c2ccccc12', 'COCCN', 'Nc1n[nH]c2ccccc12']; [0.999293089, 0.999293089, 0.999293089]
-Clc1[nH]ncc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
-c1nnc(-c2ccc3c(c2)OCO3)o1; [None]; [None]; [0]
-Fc1cnc(-c2ccc3c(c2)OCO3)nc1; ['Fc1cnc(Cl)nc1']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999975562]
-Cc1nc(-c2ccc3c(c2)OCO3)ccc1F; ['Cc1nc(Br)ccc1F']; ['OB(O)c1ccc2c(c1)OCO2']; [0.999997497]
-COCc1cccc(-c2ccc3c(c2)OCO3)c1; ['COCc1cccc(Br)c1', 'COCc1cccc(B(O)O)c1', 'Brc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'COCc1cccc(B(O)O)c1']; [0.999898672, 0.999898672, 0.999898672]
-Clc1cccc2c(-c3ccc4c(c3)OCO4)n[nH]c12; [None]; [None]; [0]
-Cc1ccc(-c2noc(C)n2)o1; [None]; [None]; [0]
-Cc1ccc(Cc2ccc(C(=O)[O-])cc2)o1; [None]; [None]; [0]
-c1nnc(-c2ccc3c(c2)OCO3)s1; [None]; [None]; [0]
-C[NH+](C)CCCc1ncc2ccccc2n1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
-Cc1ccc2ncn(CCC[NH+](C)C)c2c1; [None]; [None]; [0]
-C[NH+](C)CCCc1ccccn1; [None]; [None]; [0]
-Cc1ccc(CCc2c[nH]c3ccccc23)o1; [None]; [None]; [0]
-C[NH+](C)CCCn1ncc2ccccc2c1=O; [None]; [None]; [0]
-C[NH+](C)CCCc1cnc2cccnn12; [None]; [None]; [0]
-C[NH+](C)CCCc1ncc(Br)cn1; [None]; [None]; [0]
-C[NH+](C)CCCc1ccco1; [None]; [None]; [0]
-C[NH+](C)CCCc1cc2ccccn2n1; [None]; [None]; [0]
-C[NH+](C)CCCc1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-C[NH+](C)CCCc1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-Cc1csc2c(CCC[NH+](C)C)ncnc12; [None]; [None]; [0]
-Cc1nc(CCC[NH+](C)C)no1; [None]; [None]; [0]
-C[NH+](C)CCCc1ncc2cccn2n1; [None]; [None]; [0]
-C[NH+](C)CCCc1ncc(Cl)cn1; [None]; [None]; [0]
-C[NH+](C)CCCc1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-C[NH+](C)CCCc1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-C[NH+](C)CCCc1ncc2sccc2n1; [None]; [None]; [0]
-O=C(Nc1csc(N2CCOCC2)n1)C1CC1; [None]; [None]; [0]
-c1ccc2c(-c3csc(N4CCOCC4)n3)n[nH]c2c1; [None]; [None]; [0]
-Cn1cc(CCC[NH+](C)C)c2ccccc21; [None]; [None]; [0]
-Fc1ccccc1-c1csc(N2CCOCC2)n1; ['NC(=S)N1CCOCC1']; ['O=C(CBr)c1ccccc1F']; [1.0]
-Cn1nc(-c2csc(N3CCOCC3)n2)c2ccccc21; [None]; [None]; [0]
-Cc1ncc(-c2csc(N3CCOCC3)n2)[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2csc(N3CCOCC3)n2)cc1; [None]; [None]; [0]
-c1cc(-c2csc(N3CCOCC3)n2)c[nH]1; [None]; [None]; [0]
-COc1cccc(-c2csc(N3CCOCC3)n2)c1; ['COc1cccc(C(C)=O)c1']; ['NC(=S)N1CCOCC1']; [0.999999642]
-Clc1[nH]ncc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-Clc1cccc2c(-c3csc(N4CCOCC4)n3)n[nH]c12; [None]; [None]; [0]
-Fc1cccc(-c2csc(N3CCOCC3)n2)c1F; ['CC(=O)c1cccc(F)c1F']; ['NC(=S)N1CCOCC1']; [1.0]
-Clc1ccc(-c2csc(N3CCOCC3)n2)cc1Cl; ['NC(=S)N1CCOCC1']; ['O=C(CCl)c1ccc(Cl)c(Cl)c1']; [1.0]
-c1ccc2c(Nc3csc(N4CCOCC4)n3)n[nH]c2c1; [None]; [None]; [0]
-c1nnc(-c2csc(N3CCOCC3)n2)o1; [None]; [None]; [0]
-Fc1cnc(-c2csc(N3CCOCC3)n2)nc1; [None]; [None]; [0]
-COc1ccc2cc(-c3csc(N4CCOCC4)n3)ccc2c1; ['COc1ccc2cc(C(=O)CBr)ccc2c1']; ['NC(=S)N1CCOCC1']; [1.0]
-Cn1ncc(N)c1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-CCc1sccc1-c1csc(N2CCOCC2)n1; [None]; [None]; [0]
-c1nnc(-c2csc(N3CCOCC3)n2)s1; [None]; [None]; [0]
-Cc1cccc(-c2csc(N3CCOCC3)n2)n1; [None]; [None]; [0]
-Cc1csc(-c2csc(N3CCOCC3)n2)n1; [None]; [None]; [0]
-COCc1cccc(-c2csc(N3CCOCC3)n2)c1; [None]; [None]; [0]
-Cc1ccc(-c2csc(N3CCOCC3)n2)nc1C; [None]; [None]; [0]
-Cc1nc(-c2csc(N3CCOCC3)n2)ccc1F; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2csc(N3CCOCC3)n2)cc1; [None]; [None]; [0]
-COc1ccc(-c2csc(N3CCOCC3)n2)nc1; [None]; [None]; [0]
-COc1cccc(CC(=O)Nc2n[nH]c3ccccc23)c1; ['COc1cccc(CC(=O)O)c1']; ['Nc1n[nH]c2ccccc12']; [0.999996662]
-COc1ccc(-c2csc(N3CCOCC3)n2)cn1; [None]; [None]; [0]
-COc1cccc(CC(=O)Nc2nn(C)c3ccccc23)c1; ['COc1cccc(CC(=O)Cl)c1']; ['Cn1nc(N)c2ccccc21']; [0.999983191]
-COc1cccc(CC(=O)Nc2ccccc2F)c1; [None]; [None]; [0]
-COc1cccc(CC(=O)Nc2ccccc2)c1; ['COc1cccc(CC#N)c1']; ['Nc1ccccc1']; [0.999457896]
-CNS(=O)(=O)c1ccc(NC(=O)Cc2cccc(OC)c2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1']; ['COc1cccc(CC(=O)O)c1']; [0.999666572]
-COc1cccc(CC(=O)Nc2cc[nH]c2)c1; [None]; [None]; [0]
-COc1cccc(CC(=O)Nc2cn[nH]c2Cl)c1; ['CCOC(=O)Cc1cccc(OC)c1']; ['Nc1cn[nH]c1Cl']; [0.996231258]
-COc1cccc(CC(=O)Nc2cnc(C)[nH]2)c1; [None]; [None]; [0]
-COc1cccc(CC(=O)Nc2cccc(OC)c2)c1; ['COc1cccc(CC#N)c1', 'CCOC(=O)Cc1cccc(OC)c1']; ['COc1cccc(N)c1', 'COc1cccc(N)c1']; [0.998089969, 0.998089969]
-COc1cccc(CC(=O)Nc2n[nH]c3c(Cl)cccc23)c1; [None]; [None]; [0]
-COc1cccc(CC(=O)Nc2ccncn2)c1; ['COc1cccc(CC(=O)O)c1']; ['Nc1ccncn1']; [0.999972343]
-COc1cccc(CC(=O)Nc2ncc(F)cn2)c1; ['COc1cccc(CC(=O)Cl)c1']; ['Nc1ncc(F)cn1']; [0.999999166]
-COc1cccc(CC(=O)Nc2cccc(F)c2F)c1; ['COc1cccc(CC(=O)Cl)c1', 'COc1cccc(CC(=O)O)c1']; ['Nc1cccc(F)c1F', 'Nc1cccc(F)c1F']; [0.999998927, 0.999998927]
-COc1cccc(CC(=O)Nc2ccc(Cl)c(Cl)c2)c1; ['COc1cccc(CC(=O)Cl)c1', 'CCOC(=O)Cc1cccc(OC)c1']; ['Nc1ccc(Cl)c(Cl)c1', 'Nc1ccc(Cl)c(Cl)c1']; [0.999586403, 0.999586403]
-COc1cccc(CC(=O)Nc2ccc3cc(OC)ccc3c2)c1; [None]; [None]; [0]
-COc1cccc(CC(=O)Nc2nnco2)c1; [None]; [None]; [0]
-COc1cccc(CC(=O)Nc2nc(C)cs2)c1; ['COc1cccc(CC(=O)O)c1']; ['Cc1csc(N)n1']; [0.999999046]
-COc1cccc(CC(=O)Nc2ccc3ccccc3c2)c1; ['COc1cccc(CC(=O)Cl)c1', 'CCOC(=O)Cc1cccc(OC)c1']; ['Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1']; [0.999826133, 0.999826133]
-COc1cccc(CC(=O)Nc2nncs2)c1; ['COc1cccc(CC(=O)O)c1']; ['Nc1nncs1']; [0.999985456]
-CCc1sccc1NC(=O)Cc1cccc(OC)c1; [None]; [None]; [0]
-COc1cccc(CC(=O)Nc2ccc(F)c(C)n2)c1; ['COc1cccc(CC(=O)Cl)c1']; ['Cc1nc(N)ccc1F']; [0.999995351]
-COc1cccc(CC(=O)Nc2ccc(C)c(C)n2)c1; ['COc1cccc(CC(=O)O)c1']; ['Cc1ccc(N)nc1C']; [0.99995625]
-COc1cccc(CC(=O)Nc2cccc(C)n2)c1; ['COc1cccc(CC(=O)O)c1']; ['Cc1cccc(N)n1']; [0.999969959]
-COc1ccc(NC(=O)Cc2cccc(OC)c2)nc1; [None]; [None]; [0]
-COCc1cccc(NC(=O)Cc2cccc(OC)c2)c1; ['COCc1cccc(N)c1', 'CCOC(=O)Cc1cccc(OC)c1']; ['COc1cccc(CC(=O)O)c1', 'COCc1cccc(N)c1']; [0.999820054, 0.999820054]
-COc1cccc(CC(=O)Nc2ccc(OC)nc2)c1; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2ccccc2)c1; []; []; []
-COc1cccc(CC(=O)Nc2cccc(C(F)(F)F)c2)c1; ['COc1cccc(CC(=O)O)c1', 'CCOC(=O)Cc1cccc(OC)c1', 'COC(=O)Cc1cccc(OC)c1']; ['Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1']; [0.997380078, 0.997380078, 0.997380078]
-COc1cccc(CC(=O)Nc2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2n[nH]c3c(Cl)cccc23)c1; [None]; [None]; [0]
-Cn1nc(-c2cccc(CC(N)=O)c2)c2ccccc21; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2ncc(F)cn2)c1; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2nncs2)c1; [None]; [None]; [0]
-COCc1cccc(-c2cccc(CC(N)=O)c2)c1; ['COCc1cccc(B(O)O)c1']; ['NC(=O)Cc1cccc(Br)c1']; [0.998277187]
-NC(=O)Cc1cccc(-c2nnco2)c1; [None]; [None]; [0]
-NC(=O)Cc1cccc(-c2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccccn2)cc1; ['Cc1ccc(C(=O)Cl)cc1']; ['Nc1ccccn1']; [0.999117911]
-Cc1ccc(C(=O)Nc2cnc3cccnn23)cc1; [None]; [None]; [0]
-Cc1nc(-c2cccc(CC(N)=O)c2)ccc1F; ['CC1(C)OB(c2cccc(CC(N)=O)c2)OC1(C)C']; ['Cc1nc(Cl)ccc1F']; [0.999991894]
-Cc1ccc(C(=O)Nc2ncc(Br)cn2)cc1; ['Cc1ccc(C(=O)Cl)cc1', 'Cc1ccc(C(N)=O)cc1']; ['Nc1ncc(Br)cn1', 'Clc1ncc(Br)cn1']; [0.999946475, 0.999946475]
-Cc1ccc(C(=O)Nc2ncc3ccccc3n2)cc1; ['Cc1ccc(C(=O)Cl)cc1', 'Cc1ccc(C(=O)O)cc1', 'Cc1ccc(C(N)=O)cc1']; ['Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1']; [0.999805033, 0.999805033, 0.999805033]
-Cc1ccc(C(=O)Nc2ccco2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cccc(C3CCNCC3)c2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc3c(c2)CC(C)(C)O3)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cc3ccccn3n2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2noc(C)n2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ncnc3c(C)csc23)cc1; ['Cc1ccc(C(N)=O)cc1']; ['Cc1csc2c(Cl)ncnc12']; [0.999670863]
-Cc1ccc(C(=O)Nc2ncc3cccn3n2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ccc(OC(F)(F)F)cc2)cc1; ['Cc1ccc(C(=O)Cl)cc1', 'Cc1ccc(C(N)=O)cc1', 'Cc1ccc(C(N)=O)cc1']; ['Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1']; [0.9999336, 0.9999336, 0.9999336]
-Cc1ccc(C(=O)Nc2ncc(Cl)cn2)cc1; ['Cc1ccc(C(=O)Cl)cc1', 'Cc1ccc(C(=O)O)cc1']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1']; [0.999259412, 0.999259412]
-Cc1ccc(C(=O)Nc2ncc3cc(Cl)ccc3n2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2ncc3sccc3n2)cc1; [None]; [None]; [0]
-Cc1ccc(C(=O)Nc2cn(C)c3ccccc23)cc1; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ocnc3C)c2c1; [None]; [None]; [0]
-Cc1ncoc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-Cc1ncoc1Nc1ncccn1; [None]; [None]; [0]
-Cc1ncoc1-n1ncc2ccccc2c1=O; [None]; [None]; [0]
-Cc1ncoc1-c1cnc2cccnn12; [None]; [None]; [0]
-Cc1ncoc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-Cc1ncoc1Cc1nccc2ccccc12; [None]; [None]; [0]
-Cc1ncoc1-c1ccccn1; [None]; [None]; [0]
-Cc1ncoc1Cc1ccc(O)cc1; [None]; [None]; [0]
-Cc1ncoc1Cc1cnccn1; [None]; [None]; [0]
-Cc1ncoc1-c1ncc(Br)cn1; [None]; [None]; [0]
-Cc1ncoc1Cc1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-Cc1ncoc1-c1ccco1; [None]; [None]; [0]
-Cc1cc(-c2ocnc2C)nc(N)n1; [None]; [None]; [0]
-Cc1ncoc1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
-Cc1ncoc1-c1ncc2cccn2n1; [None]; [None]; [0]
-Cc1ncoc1-c1cc2ccccn2n1; [None]; [None]; [0]
-Cc1ncoc1-c1ncnc2c(C)csc12; [None]; [None]; [0]
-Cc1ncoc1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
-Cc1ncoc1-c1ncc(Cl)cn1; [None]; [None]; [0]
-Cc1nc(-c2ocnc2C)no1; [None]; [None]; [0]
-Cc1ncoc1CCc1c[nH]c2ccccc12; [None]; [None]; [0]
-Cc1ncoc1-c1ncc2cc(Cl)ccc2n1; [None]; [None]; [0]
-Cc1ncoc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
-Cc1ncoc1-c1ncc2sccc2n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(NC(=O)C2CC2)[nH]1; [None]; [None]; [0]
-Cc1ncoc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cccc(-c2ncccn2)c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccccc2F)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2n[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc(NC(C)=O)[nH]2)cc1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cn[nH]c2Cl)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cnc(C)[nH]2)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2nn(C)c3ccccc23)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2n[nH]c3c(Cl)cccc23)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(Nc2n[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc[nH]c2)[nH]1; [None]; [None]; [0]
-COc1cccc(-c2cnc(NC(C)=O)[nH]2)c1; ['CC(=O)Cl']; ['COc1cccc(-c2cnc(N)[nH]2)c1']; [0.999417663]
-CC(=O)Nc1ncc(-c2nnco2)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc(F)c2F)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ncc(F)cn2)[nH]1; [None]; [None]; [0]
-COc1ccc2cc(-c3cnc(NC(C)=O)[nH]3)ccc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc(Cl)c(Cl)c2)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2nncs2)[nH]1; [None]; [None]; [0]
-CCc1sccc1-c1cnc(NC(C)=O)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2c(N)cnn2C)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc(C)c(C)n2)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2nc(C)cs2)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cccc(C)n2)[nH]1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2ccc(F)c(C)n2)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cnc(NC(C)=O)[nH]2)cn1; [None]; [None]; [0]
-COCc1cccc(-c2cnc(NC(C)=O)[nH]2)c1; [None]; [None]; [0]
-Cn1nc(-c2nc(N)c3ccccc3n2)c2ccccc21; [None]; [None]; [0]
-COc1ccc(-c2cnc(NC(C)=O)[nH]2)nc1; [None]; [None]; [0]
-Nc1nc(-c2cn[nH]c2Cl)nc2ccccc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cn[nH]c2-c2ccc(Cl)cc2)[nH]1; [None]; [None]; [0]
-Nc1nc(-c2ncc(F)cn2)nc2ccccc12; [None]; [None]; [0]
-Nc1nc(-c2nnco2)nc2ccccc12; [None]; [None]; [0]
-Cc1nc(-c2nc(N)c3ccccc3n2)ccc1F; [None]; [None]; [0]
-Nc1nc(-c2n[nH]c3c(Cl)cccc23)nc2ccccc12; [None]; [None]; [0]
-COCc1cccc(-c2nc(N)c3ccccc3n2)c1; [None]; [None]; [0]
-O=C(Nc1ncc2ccccc2n1)C1CC1; [None]; [None]; [0]
-Nc1nc(-c2nncs2)nc2ccccc12; [None]; [None]; [0]
-c1ccc2nc(-c3n[nH]c4ccccc34)ncc2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-Cn1nc(-c2ncc3ccccc3n2)c2ccccc21; ['Cn1nc(Br)c2ccccc21']; ['c1ccc2ncncc2c1']; [0.945455611]
-Nc1nc(-c2cn[nH]c2-c2ccc(Cl)cc2)nc2ccccc12; [None]; [None]; [0]
-Clc1[nH]ncc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-c1ccc2nc(-c3cc[nH]c3)ncc2c1; [None]; [None]; [0]
-Fc1ccccc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-c1ccc2nc(Nc3n[nH]c4ccccc34)ncc2c1; ['Clc1ncc2ccccc2n1']; ['Nc1n[nH]c2ccccc12']; [0.999913335]
-COc1cccc(-c2ncc3ccccc3n2)c1; ['COc1cccc(CO)c1', 'BrCc1ccccc1Br']; ['NCc1ccccc1N', 'COc1cccc(C=O)c1']; [0.999712765, 0.999712765]
-Cc1ncc(-c2ncc3ccccc3n2)[nH]1; [None]; [None]; [0]
-c1ccc2nc(-c3nnco3)ncc2c1; [None]; [None]; [0]
-Clc1cccc2c(-c3ncc4ccccc4n3)n[nH]c12; [None]; [None]; [0]
-Fc1cccc(-c2ncc3ccccc3n2)c1F; ['NCc1ccccc1N']; ['O=Cc1cccc(F)c1F']; [0.999076724]
-COc1ccc2cc(-c3ncc4ccccc4n3)ccc2c1; [None]; [None]; [0]
-Fc1cnc(-c2ncc3ccccc3n2)nc1; [None]; [None]; [0]
-Clc1ccc(-c2ncc3ccccc3n2)cc1Cl; ['BrCc1ccccc1Br']; ['O=Cc1ccc(Cl)c(Cl)c1']; [0.999661922]
-CCc1sccc1-c1ncc2ccccc2n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ncc2ccccc2n1; [None]; [None]; [0]
-c1ccc2nc(-c3nncs3)ncc2c1; [None]; [None]; [0]
-Cc1ccc(-c2ncc3ccccc3n2)nc1C; [None]; [None]; [0]
-Cc1cccc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
-Cc1csc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
-COc1ccc(-c2ncc3ccccc3n2)cn1; ['COc1ccc(C=O)cn1', 'COc1ccc(C=O)cn1']; ['Nc1ccccc1CO', 'NCc1ccccc1N']; [0.998971105, 0.998971105]
-COCc1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
-Cc1nc(-c2ncc3ccccc3n2)ccc1F; [None]; [None]; [0]
-Cn1cc(NC(=O)C2CC2)c(=O)n1C; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ncc3ccccc3n2)nc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cn(C)n(C)c2=O)cc1; [None]; [None]; [0]
-Cn1cc(-c2ccccc2F)c(=O)n1C; [None]; [None]; [0]
-Cn1cc(-c2n[nH]c3ccccc23)c(=O)n1C; [None]; [None]; [0]
-Cn1nc(-c2cn(C)n(C)c2=O)c2ccccc21; [None]; [None]; [0]
-Cn1cc(-c2cn[nH]c2Cl)c(=O)n1C; [None]; [None]; [0]
-Cc1ncc(-c2cn(C)n(C)c2=O)[nH]1; [None]; [None]; [0]
-Cn1cc(Nc2n[nH]c3ccccc23)c(=O)n1C; [None]; [None]; [0]
-Cn1cc(-c2n[nH]c3c(Cl)cccc23)c(=O)n1C; [None]; [None]; [0]
-Cn1cc(-c2cc[nH]c2)c(=O)n1C; [None]; [None]; [0]
-COc1cccc(-c2cn(C)n(C)c2=O)c1; [None]; [None]; [0]
-Cn1cc(-c2nnco2)c(=O)n1C; [None]; [None]; [0]
-Cn1cc(-c2cccc(F)c2F)c(=O)n1C; [None]; [None]; [0]
-COc1ccc2cc(-c3cn(C)n(C)c3=O)ccc2c1; [None]; [None]; [0]
-Cn1cc(-c2ncc(F)cn2)c(=O)n1C; [None]; [None]; [0]
-Cn1cc(-c2ccc(Cl)c(Cl)c2)c(=O)n1C; [None]; [None]; [0]
-Cn1cc(-c2nncs2)c(=O)n1C; [None]; [None]; [0]
-CCc1sccc1-c1cn(C)n(C)c1=O; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cn(C)n(C)c1=O; [None]; [None]; [0]
-Cc1ccc(-c2cn(C)n(C)c2=O)nc1C; [None]; [None]; [0]
-Cc1csc(-c2cn(C)n(C)c2=O)n1; [None]; [None]; [0]
-Cc1cccc(-c2cn(C)n(C)c2=O)n1; [None]; [None]; [0]
-COc1ccc(-c2cn(C)n(C)c2=O)cn1; [None]; [None]; [0]
-Cc1nc(-c2cn(C)n(C)c2=O)ccc1F; [None]; [None]; [0]
-COCc1cccc(-c2cn(C)n(C)c2=O)c1; [None]; [None]; [0]
-Cn1nc(-c2c[nH]c3cccnc23)c2ccccc21; [None]; [None]; [0]
-COc1ccc(-c2cn(C)n(C)c2=O)nc1; [None]; [None]; [0]
-Cn1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)c(=O)n1C; [None]; [None]; [0]
-Clc1cccc2c(-c3c[nH]c4cccnc34)n[nH]c12; [None]; [None]; [0]
-Clc1[nH]ncc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
-c1cnc2c(-c3nnco3)c[nH]c2c1; [None]; [None]; [0]
-Fc1cnc(-c2c[nH]c3cccnc23)nc1; [None]; [None]; [0]
-c1cnc2c(-c3nncs3)c[nH]c2c1; [None]; [None]; [0]
-COCc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
-Cc1nc(-c2c[nH]c3cccnc23)ccc1F; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
-O=C(Nc1ncc2cc[nH]c2n1)C1CC1; ['Clc1ncc2cc[nH]c2n1']; ['NC(=O)C1CC1']; [0.982826412]
-c1ccc2c(-c3ncc4cc[nH]c4n3)n[nH]c2c1; [None]; [None]; [0]
-Cn1nc(-c2ncc3cc[nH]c3n2)c2ccccc21; [None]; [None]; [0]
-Fc1ccccc1-c1ncc2cc[nH]c2n1; ['Clc1ncc2cc[nH]c2n1']; ['OB(O)c1ccccc1F']; [0.997618377]
-CNS(=O)(=O)c1ccc(-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
-c1cc(-c2ncc3cc[nH]c3n2)c[nH]1; [None]; [None]; [0]
-Clc1[nH]ncc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-Cc1ncc(-c2ncc3cc[nH]c3n2)[nH]1; [None]; [None]; [0]
-c1ccc2c(Nc3ncc4cc[nH]c4n3)n[nH]c2c1; ['Clc1ncc2cc[nH]c2n1']; ['Nc1n[nH]c2ccccc12']; [0.999982]
-COc1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
-Clc1cccc2c(-c3ncc4cc[nH]c4n3)n[nH]c12; [None]; [None]; [0]
-Fc1cccc(-c2ncc3cc[nH]c3n2)c1F; ['Clc1ncc2cc[nH]c2n1']; ['OB(O)c1cccc(F)c1F']; [0.999720633]
-Clc1ccc(-c2ncc3cc[nH]c3n2)cc1Cl; [None]; [None]; [0]
-c1cc2cnc(-c3nnco3)nc2[nH]1; [None]; [None]; [0]
-Fc1cnc(-c2ncc3cc[nH]c3n2)nc1; [None]; [None]; [0]
-COc1ccc2cc(-c3ncc4cc[nH]c4n3)ccc2c1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-CCc1sccc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
-c1cc2cnc(-c3nncs3)nc2[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2ncc3cc[nH]c3n2)nc1C; [None]; [None]; [0]
-Cc1csc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
-Cc1cccc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
-COc1ccc(-c2ncc3cc[nH]c3n2)cn1; ['COc1ccc(B(O)O)cn1']; ['Clc1ncc2cc[nH]c2n1']; [0.998348355]
-COCc1cccc(-c2ncc3cc[nH]c3n2)c1; ['COCc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'COCc1cccc(B(O)O)c1']; ['Clc1ncc2cc[nH]c2n1', 'Clc1ncc2cc[nH]c2n1']; [0.999967337, 0.999967337]
-N#CCc1ccc(NC(=O)C2CC2)cc1; ['N#CCc1ccc(N)cc1']; ['O=C(O)C1CC1']; [0.998665571]
-Cc1nc(-c2ncc3cc[nH]c3n2)ccc1F; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
-N#CCc1ccc(-c2n[nH]c3ccccc23)cc1; ['Brc1n[nH]c2ccccc12']; ['N#CCc1ccc(B(O)O)cc1']; [0.998946846]
-Cc1cc(-c2ccc(CC#N)cc2)ccc1O; ['CC1(C)OB(c2ccc(CC#N)cc2)OC1(C)C', 'Cc1cc(Br)ccc1O']; ['Cc1cc(I)ccc1O', 'N#CCc1ccc(B(O)O)cc1']; [0.999890089, 0.999890089]
-CNS(=O)(=O)c1ccc(-c2ccc(CC#N)cc2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ncc3cc[nH]c3n2)nc1; [None]; [None]; [0]
-N#CCc1ccc(-c2ccccc2)cc1; ['BrCc1ccc(-c2ccccc2)cc1']; ['[C-]#N']; [0.998498559]
-Cn1nc(-c2ccc(CC#N)cc2)c2ccccc21; ['Cn1nc(Br)c2ccccc21']; ['N#CCc1ccc(B(O)O)cc1']; [0.999906778]
-N#CCc1ccc(-c2ccccc2F)cc1; [None]; [None]; [0]
-N#CCc1ccc(-c2cn[nH]c2Cl)cc1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(CC#N)cc2)[nH]1; ['CC1(C)OB(c2ccc(CC#N)cc2)OC1(C)C']; ['Cc1ncc(I)[nH]1']; [0.999959111]
-N#CCc1ccc(-c2n[nH]c3c(Cl)cccc23)cc1; [None]; [None]; [0]
-N#CCc1ccc(-c2cc[nH]c2)cc1; [None]; [None]; [0]
-N#CCc1ccc(Nc2n[nH]c3ccccc23)cc1; ['Clc1n[nH]c2ccccc12']; ['N#CCc1ccc(N)cc1']; [0.897730172]
-N#CCc1ccc(-c2ccncn2)cc1; [None]; [None]; [0]
-N#CCc1ccc(-c2cccc(F)c2F)cc1; [None]; [None]; [0]
-COc1cccc(-c2ccc(CC#N)cc2)c1; ['CC1(C)OB(c2ccc(CC#N)cc2)OC1(C)C', 'COc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cccc(Br)c1', 'COc1cccc(B(O)O)c1']; ['COc1cccc(Br)c1', 'N#CCc1ccc(Br)cc1', 'N#CCc1ccc(B(O)O)cc1', 'N#CCc1ccc(Br)cc1']; [0.999992371, 0.999992371, 0.999992371, 0.999992371]
-N#CCc1ccc(-c2ccc(Cl)c(Cl)c2)cc1; ['Clc1ccc(I)cc1Cl', 'N#CCc1ccc(I)cc1']; ['N#CCc1ccc(B(O)O)cc1', 'OB(O)c1ccc(Cl)c(Cl)c1']; [0.997322619, 0.997322619]
-N#CCc1ccc(-c2nnco2)cc1; [None]; [None]; [0]
-N#CCc1ccc(-c2ncc(F)cn2)cc1; [None]; [None]; [0]
-N#CCc1ccc(-c2ccc3ccccc3c2)cc1; ['Brc1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'N#CCc1ccc(I)cc1', 'Ic1ccc2ccccc2c1', 'CC1(C)COB(c2ccc(CC#N)cc2)OC1', 'CC1(C)COB(c2ccc3ccccc3c2)OC1']; ['CC1(C)OB(c2ccc(CC#N)cc2)OC1(C)C', 'N#CCc1ccc(Br)cc1', 'OB(O)c1ccc2ccccc2c1', 'N#CCc1ccc(B(O)O)cc1', 'Ic1ccc2ccccc2c1', 'N#CCc1ccc(I)cc1']; [0.999994755, 0.999994755, 0.999994755, 0.999994755, 0.999994755, 0.999994755]
-COc1ccc2cc(-c3ccc(CC#N)cc3)ccc2c1; ['COc1ccc2cc(Br)ccc2c1', 'COc1ccc2cc(B(O)O)ccc2c1']; ['N#CCc1ccc(B(O)O)cc1', 'N#CCc1ccc(Br)cc1']; [0.999915123, 0.999915123]
-N#CCc1ccc(-c2nncs2)cc1; ['Brc1nncs1']; ['CC1(C)OB(c2ccc(CC#N)cc2)OC1(C)C']; [0.999985456]
-CCc1sccc1-c1ccc(CC#N)cc1; [None]; [None]; [0]
-Cc1csc(-c2ccc(CC#N)cc2)n1; ['Cc1csc(Br)n1']; ['N#CCc1ccc(B(O)O)cc1']; [0.999892831]
-Cc1nc(-c2ccc(CC#N)cc2)ccc1F; [None]; [None]; [0]
-Cn1ncc(N)c1-c1ccc(CC#N)cc1; [None]; [None]; [0]
-Cc1cccc(-c2ccc(CC#N)cc2)n1; ['CC1(C)OB(c2ccc(CC#N)cc2)OC1(C)C', 'Cc1cccc(Br)n1', 'Cc1cccc(Cl)n1']; ['Cc1cccc(Br)n1', 'N#CCc1ccc(B(O)O)cc1', 'N#CCc1ccc(B(O)O)cc1']; [0.999992371, 0.999992371, 0.999992371]
-COc1ccc(-c2ccc(CC#N)cc2)nc1; ['CC1(C)OB(c2ccc(CC#N)cc2)OC1(C)C']; ['COc1ccc(Br)nc1']; [0.999996543]
-Cc1ccc(-c2ccc(CC#N)cc2)nc1C; [None]; [None]; [0]
-COc1ccc(-c2ccc(CC#N)cc2)cn1; ['COc1ccc(B(O)O)cn1']; ['N#CCc1ccc(Br)cc1']; [0.999818385]
-COCc1cccc(-c2ccc(CC#N)cc2)c1; [None]; [None]; [0]
-N#CCc1ccc(-c2cccc(C(F)(F)F)c2)cc1; ['CC1(C)OB(c2ccc(CC#N)cc2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['FC(F)(F)c1cccc(Br)c1', 'N#CCc1ccc(Br)cc1']; [0.999993086, 0.999993086]
-O=C(NC1CCN(C(=O)CO)CC1)C1CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2ccccc2)CC1; [None]; [None]; [0]
-N#CCc1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)cc1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2n[nH]c3ccccc23)CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2ccccc2F)CC1; [None]; [None]; [0]
-Cc1cc(C2CCN(C(=O)CO)CC2)ccc1O; [None]; [None]; [0]
-Cn1nc(C2CCN(C(=O)CO)CC2)c2ccccc21; [None]; [None]; [0]
-Cc1ncc(C2CCN(C(=O)CO)CC2)[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(C2CCN(C(=O)CO)CC2)cc1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2cc[nH]c2)CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2ccncn2)CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2cn[nH]c2Cl)CC1; [None]; [None]; [0]
-COc1cccc(C2CCN(C(=O)CO)CC2)c1; [None]; [None]; [0]
-O=C(CO)N1CCC(Nc2n[nH]c3ccccc23)CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2n[nH]c3c(Cl)cccc23)CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2nnco2)CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2cccc(F)c2F)CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2ncc(F)cn2)CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2ccc3ccccc3c2)CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2ccc(Cl)c(Cl)c2)CC1; [None]; [None]; [0]
-COc1ccc2cc(C3CCN(C(=O)CO)CC3)ccc2c1; [None]; [None]; [0]
-Cn1ncc(N)c1C1CCN(C(=O)CO)CC1; [None]; [None]; [0]
-CCc1sccc1C1CCN(C(=O)CO)CC1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2nncs2)CC1; [None]; [None]; [0]
-Cc1cccc(C2CCN(C(=O)CO)CC2)n1; [None]; [None]; [0]
-Cc1csc(C2CCN(C(=O)CO)CC2)n1; [None]; [None]; [0]
-Cc1ccc(C2CCN(C(=O)CO)CC2)nc1C; [None]; [None]; [0]
-COCc1cccc(C2CCN(C(=O)CO)CC2)c1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2cccc(C(F)(F)F)c2)CC1; ['FC(F)(F)c1cccc(C2CCNCC2)c1', 'CCOC(=O)CO']; ['O=C(O)CO', 'FC(F)(F)c1cccc(C2CCNCC2)c1']; [0.999908209, 0.999908209]
-Cc1nc(C2CCN(C(=O)CO)CC2)ccc1F; [None]; [None]; [0]
-COc1ccc(C2CCN(C(=O)CO)CC2)cn1; [None]; [None]; [0]
-COc1ccc(C2CCN(C(=O)CO)CC2)nc1; [None]; [None]; [0]
-CN(C)c1cc(-c2n[nH]c3ccccc23)cnn1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2cn[nH]c2-c2ccc(Cl)cc2)CC1; [None]; [None]; [0]
-CN(C)c1cc(NC(=O)C2CC2)cnn1; [None]; [None]; [0]
-CN(C)c1cc(-c2nn(C)c3ccccc23)cnn1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccccc2F)cnn1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnnc(N(C)C)c2)cc1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc[nH]c2)cnn1; [None]; [None]; [0]
-Cc1ncc(-c2cnnc(N(C)C)c2)[nH]1; [None]; [None]; [0]
-CN(C)c1cc(-c2cn[nH]c2Cl)cnn1; [None]; [None]; [0]
-COc1cccc(-c2cnnc(N(C)C)c2)c1; [None]; [None]; [0]
-CN(C)c1cc(-c2n[nH]c3c(Cl)cccc23)cnn1; [None]; [None]; [0]
-CN(C)c1cc(Nc2n[nH]c3ccccc23)cnn1; [None]; [None]; [0]
-CN(C)c1cc(-c2ncc(F)cn2)cnn1; [None]; [None]; [0]
-CN(C)c1cc(-c2cccc(F)c2F)cnn1; [None]; [None]; [0]
-CN(C)c1cc(-c2nnco2)cnn1; [None]; [None]; [0]
-CCc1sccc1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc(Cl)c(Cl)c2)cnn1; [None]; [None]; [0]
-COc1ccc2cc(-c3cnnc(N(C)C)c3)ccc2c1; [None]; [None]; [0]
-Cc1csc(-c2cnnc(N(C)C)c2)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2c(N)cnn2C)cnn1; [None]; [None]; [0]
-CN(C)c1cc(-c2nncs2)cnn1; [None]; [None]; [0]
-Cc1nc(-c2cnnc(N(C)C)c2)ccc1F; [None]; [None]; [0]
-Cc1cccc(-c2cnnc(N(C)C)c2)n1; [None]; [None]; [0]
-Cc1ccc(-c2cnnc(N(C)C)c2)nc1C; [None]; [None]; [0]
-COCc1cccc(-c2cnnc(N(C)C)c2)c1; [None]; [None]; [0]
-COc1ccc(-c2cnnc(N(C)C)c2)nc1; [None]; [None]; [0]
-COc1ccc(-c2cnnc(N(C)C)c2)cn1; [None]; [None]; [0]
-Oc1ccc(-c2nc3cc(C(F)(F)F)ccc3[nH]2)cc1; ['Nc1ccc(C(F)(F)F)cc1N', 'Nc1ccc(C(F)(F)F)cc1[N+](=O)[O-]']; ['O=C(O)c1ccc(O)cc1', 'O=Cc1ccc(O)cc1']; [0.99957031, 0.99957031]
-Cc1ccc(-c2ccc(O)cc2)cc1; ['Cc1ccc(Br)cc1', 'Cc1ccc(B(O)O)cc1']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.994637311, 0.994637311]
-CN(C)c1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)cnn1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(O)cc2)o1; [None]; [None]; [0]
-Cc1nnc(-c2cnn(C)c2)o1; [None]; [None]; [0]
-Cn1cc(-c2cc3ccccc3n2C)cn1; [None]; [None]; [0]
-Cc1cc(Cc2ccccc2)ccc1O; [None]; [None]; [0]
-Cn1cc(-c2ccnc(N3CCOCC3)c2)cn1; [None]; [None]; [0]
-Cc1cc(CC(=O)N(C)C(C)(C)C)ccc1O; ['CNC(C)(C)C']; ['Cc1cc(CC(=O)O)ccc1O']; [0.893269658]
-Cc1cc(Cc2ccc3c(c2)CCO3)ccc1O; []; []; []
-Cc1cn(-c2cccc(-c3cnn(C)c3)c2)cn1; [None]; [None]; [0]
-Cc1cc(CC(=O)N[C@H](C)c2ccccc2)ccc1O; ['C[C@@H](N)c1ccccc1']; ['Cc1cc(CC(=O)O)ccc1O']; [0.99918288]
-COc1cccc([C@@H](C)NC(=O)Cc2ccc(O)c(C)c2)c1; ['COc1cccc([C@@H](C)N)c1']; ['Cc1cc(CC(=O)O)ccc1O']; [0.999846578]
-CC(=O)NC(C)(C)c1ccc(O)c(C)c1; [None]; [None]; [0]
-Cc1cc(CC(=O)NC(C)(C)C)ccc1O; ['CC(C)(C)N', 'CC(C)(C)N']; ['Cc1cc(CC(=O)O)ccc1O', 'COC(=O)Cc1ccc(O)c(C)c1']; [0.99966, 0.99966]
-Cc1nnc(-c2ccc(O)c(C)c2)o1; [None]; [None]; [0]
-Cc1cc(-c2ccnc(N3CCOCC3)c2)ccc1O; [None]; [None]; [0]
-Cc1cc(CC(=O)N[C@H](CO)c2ccccc2)ccc1O; ['Cc1cc(CC(=O)O)ccc1O']; ['N[C@H](CO)c1ccccc1']; [0.987278342]
-CCc1ccc(Cc2ccc3c(c2)CCO3)cc1; ['CCc1ccc(CO)cc1', 'CCc1ccc(CCl)cc1']; ['c1ccc2c(c1)CCO2', 'c1ccc2c(c1)CCO2']; [0.804669261, 0.804669261]
-CCc1ccc(Cc2ccccc2)cc1; ['CCc1ccc(CCl)cc1', 'CCc1ccccc1']; ['c1ccccc1', 'ClCc1ccccc1']; [0.978268325, 0.978268325]
-Cc1cc(-c2cc3ccccc3n2C)ccc1O; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; ['Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.971301198, 0.971301198]
-Cc1cn(-c2cccc(-c3ccc(O)c(C)c3)c2)cn1; [None]; [None]; [0]
-CCc1ccc(CC(=O)NC(C)(C)C)cc1; ['CC(C)(C)N']; ['CCOC(=O)Cc1ccc(CC)cc1']; [0.997160316]
-CCc1ccc(CC(=O)N(C)C(C)(C)C)cc1; [None]; [None]; [0]
-CCc1ccc(CC(=O)N[C@H](CO)c2ccccc2)cc1; ['CCOC(=O)Cc1ccc(CC)cc1']; ['N[C@H](CO)c1ccccc1']; [0.994550765]
-CCc1ccc(CC(=O)N[C@H](C)c2ccccc2)cc1; [None]; [None]; [0]
-CCc1ccc(CC(=O)N[C@H](C)c2cccc(OC)c2)cc1; ['CCOC(=O)Cc1ccc(CC)cc1']; ['COc1cccc(C(C)N)c1']; [0.996699512]
-CCc1ccc(-c2cc3ccccc3n2C)cc1; ['CCc1ccc(B(O)O)cc1']; ['Cn1ccc2ccccc21']; [0.998433292]
-CCc1ccc(-c2ccnc(N3CCOCC3)c2)cc1; [None]; [None]; [0]
-CCc1ccc(C(C)(C)NC(C)=O)cc1; [None]; [None]; [0]
-CCc1ccc(-c2cccc(-n3cnc(C)c3)c2)cc1; ['CCc1ccc(-c2cccc(Br)c2)cc1']; ['Cc1cnc[nH]1']; [0.995111167]
-Fc1cccc(F)c1OC(F)(F)F; []; []; []
-CCc1ccc(-c2nnc(C)o2)cc1; [None]; [None]; [0]
-Fc1cccc(F)c1-c1nc2cc(C(F)(F)F)ccc2[nH]1; ['Nc1ccc(C(F)(F)F)cc1N', 'Nc1ccc(C(F)(F)F)cc1[N+](=O)[O-]']; ['O=C(O)c1c(F)cccc1F', 'O=Cc1c(F)cccc1F']; [0.999915361, 0.999915361]
-Cc1cc(=O)n(-c2c(F)cccc2F)n1C; [None]; [None]; [0]
-Cc1cnc(-c2c(F)cccc2F)o1; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccccc2)n1-c1c(F)cccc1F; [None]; [None]; [0]
-Fc1cccc(F)c1C[C@H]1CCCCO1; [None]; [None]; [0]
-Fc1ccccc1OC(F)(F)F; []; []; []
-Fc1ccccc1-c1nc2cc(C(F)(F)F)ccc2[nH]1; ['Nc1ccc(C(F)(F)F)cc1[N+](=O)[O-]']; ['O=Cc1ccccc1F']; [0.999881148]
-Cc1nccn(-c2c(F)cccc2F)c1=O; ['Cc1ncc[nH]c1=O']; ['Fc1cccc(F)c1Br']; [0.978180289]
-Fc1ccccc1C[C@H]1CCCCO1; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccccc2F)n1C; [None]; [None]; [0]
-Cc1nccn(-c2ccccc2F)c1=O; ['Cc1ncc[nH]c1=O']; ['Fc1ccccc1I']; [0.854694724]
-Cc1ccc(-c2ccc(F)cc2C)cc1; [None]; [None]; [0]
-Cc1cnc(-c2ccccc2F)o1; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1cc(C(F)(F)F)ccn1; ['Cc1cc(F)ccc1B(O)O']; ['FC(F)(F)c1ccncc1']; [0.969865382]
-Cc1cc(F)ccc1-c1cccc(F)c1; ['Cc1cc(F)ccc1Cl', 'Cc1cc(F)ccc1I', 'Cc1cc(F)ccc1B(O)O', 'Cc1cc(F)ccc1B(O)O']; ['OB(O)c1cccc(F)c1', 'OB(O)c1cccc(F)c1', 'Fc1cccc(I)c1', 'Fc1cccc(Cl)c1']; [0.996734917, 0.996734917, 0.996734917, 0.996734917]
-Cc1cc(=O)n(-c2ccccc2)n1-c1ccccc1F; [None]; [None]; [0]
-Cc1cc(F)ccc1-c1nc2cc(C(F)(F)F)ccc2[nH]1; ['Cc1cc(F)ccc1C=O', 'Cc1cc(F)ccc1C(=O)O', 'Cc1cc(F)ccc1C(=O)Cl']; ['Nc1ccc(C(F)(F)F)cc1N', 'Nc1ccc(C(F)(F)F)cc1N', 'Nc1ccc(C(F)(F)F)cc1N']; [0.999976039, 0.999976039, 0.999976039]
-Cc1cc(F)ccc1-c1cccc2sccc12; ['Brc1cccc2sccc12']; ['Cc1cc(F)ccc1B(O)O']; [0.998286307]
-Cc1cc(F)ccc1-c1ccc(OC(F)(F)F)cc1; ['Cc1cc(F)ccc1B(O)O', 'Cc1cc(F)ccc1I']; ['FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [0.999993682, 0.999993682]
-Cc1cc(F)ccc1-c1cccc(C(F)(F)F)c1; ['Cc1cc(F)ccc1Br', 'Cc1cc(F)ccc1B(O)O', 'Cc1cc(F)ccc1[Mg]Br', 'Cc1cc(F)ccc1Cl', 'COc1cccc(C(F)(F)F)c1', 'COc1ccc(F)cc1C']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc([Mg]Br)c1', 'Cc1cc(F)ccc1[Mg]Br', 'FC(F)(F)c1cccc([Mg]Br)c1']; [0.999962, 0.999962, 0.999962, 0.999962, 0.999962, 0.999962]
-Cc1cc(F)ccc1OC(C)(C)C; ['C=C(C)C']; ['Cc1cc(F)ccc1O']; [0.952736557]
-Cc1cc(F)ccc1OC(F)(F)F; []; []; []
-Cc1cnc(-c2ccc(F)cc2C)o1; [None]; [None]; [0]
-Cc1cc(F)ccc1-n1c(=O)cc(C)n1C; [None]; [None]; [0]
-Cc1cc(F)ccc1C[C@H]1CCCCO1; [None]; [None]; [0]
-Cc1cncc(-c2ccc(F)cc2C)n1; ['Cc1cc(F)ccc1Br', 'Cc1cc(F)ccc1B(O)O', 'Cc1cc(F)ccc1B(O)O', 'Cc1cc(F)ccc1Br']; ['Cc1cncc(Cl)n1', 'Cc1cncc(Br)n1', 'Cc1cncc(Cl)n1', 'Cc1cnccn1']; [0.99985075, 0.99985075, 0.99985075, 0.99985075]
-Cc1cc(F)ccc1-n1c(C)cc(=O)n1-c1ccccc1; [None]; [None]; [0]
-Cc1ccc(-c2nc3ccccc3n2C)cc1; ['Cc1ccc(Cl)cc1', 'Cc1ccc(I)cc1']; ['Cn1cnc2ccccc21', 'Cn1cnc2ccccc21']; [0.994090497, 0.994090497]
-Cc1cccc(-c2ccc(F)cc2C)n1; ['Cc1cc(F)ccc1[Mg]Br']; ['Cc1cccc(Cl)n1']; [0.984202147]
-Cc1cc(F)ccc1-c1cncs1; ['Cc1cc(F)ccc1Br']; ['c1cscn1']; [0.999376476]
-Cn1c(-c2cccc(F)c2)nc2ccccc21; ['Cn1cnc2ccccc21']; ['Fc1cccc(Br)c1']; [0.99858129]
-Cn1c(-c2nc3cc(C(F)(F)F)ccc3[nH]2)nc2ccccc21; [None]; [None]; [0]
-Cn1c(-c2cccc(C(F)(F)F)c2)nc2ccccc21; ['Cn1cnc2ccccc21']; ['FC(F)(F)c1cccc(I)c1']; [0.996022046]
-Cc1cc(F)ccc1-n1ccnc(C)c1=O; [None]; [None]; [0]
-Cn1c(-c2ccc(OC(F)(F)F)cc2)nc2ccccc21; [None]; [None]; [0]
-Cn1c(-c2cc(C(F)(F)F)ccn2)nc2ccccc21; [None]; [None]; [0]
-Cc1cnc(-c2nc3ccccc3n2C)o1; [None]; [None]; [0]
-Cn1c(-c2cccc3sccc23)nc2ccccc21; [None]; [None]; [0]
-Cn1c(-c2cncs2)nc2ccccc21; [None]; [None]; [0]
-Cc1cncc(-c2nc3ccccc3n2C)n1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(N)=O)cc2)cc1; []; []; []
-Cn1c(C[C@H]2CCCCO2)nc2ccccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc3cc(C(F)(F)F)ccc3[nH]2)cc1; ['NC(=O)c1ccc(C(=O)O)cc1']; ['Nc1ccc(C(F)(F)F)cc1N']; [0.999998212]
-NC(=O)c1ccc(-c2cc(F)ccc2F)c(F)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc3ccccc3[nH]2)c(F)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(C(F)(F)F)ccn2)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; ['FC(F)(F)c1ccnc(Cl)c1']; [0.999993682]
-Cc1cccc(-c2nc3ccccc3n2C)n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccc(C(F)(F)F)c2)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; ['FC(F)(F)c1cccc(Br)c1']; [0.999996901]
-Cc1cnc(-c2ccc(C(N)=O)cc2)o1; [None]; [None]; [0]
-Cn1ccnc1-c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccccc2Cl)c(F)c1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ccc(C(N)=O)cc2F)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; ['CS(=O)c1ccc(Br)cc1']; [0.999975801]
-NC(=O)c1ccc(-c2cccc3c2OCCO3)c(F)c1; [None]; [None]; [0]
-CC(=O)N1CCN(c2ccc(-c3ccc(C(N)=O)cc3F)cc2)CC1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccoc2)c(F)c1; ['Brc1ccoc1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; [0.999968767]
-Cc1nnc(-c2ccc(C(N)=O)cc2F)o1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cccs2)c(F)c1; ['Brc1cccs1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C']; [0.999935269]
-Cc1cn(-c2cccc(-c3ccc(C(N)=O)cc3F)c2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccon2)c(F)c1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccnc(N3CCOCC3)c2)c(F)c1; [None]; [None]; [0]
-Cn1nc(-c2ccccc2)c2ccccc21; ['Cn1ncc2ccccc21']; ['Ic1ccccc1']; [0.978086412]
-Cc1ccc(-c2ccc(O)cc2Cl)cc1; ['Cc1ccc(B(O)O)cc1']; ['Oc1ccc(Br)c(Cl)c1']; [0.999801338]
-Oc1ccc(-c2nc3cc(C(F)(F)F)ccc3[nH]2)c(Cl)c1; ['Nc1ccc(C(F)(F)F)cc1N', 'Nc1ccc(C(F)(F)F)cc1[N+](=O)[O-]', 'Nc1ccc(C(F)(F)F)cc1N']; ['O=Cc1ccc(O)cc1Cl', 'O=Cc1ccc(O)cc1Cl', 'O=C(O)c1ccc(O)cc1Cl']; [0.99998796, 0.99998796, 0.99998796]
-Cc1cnc(-c2ccc(O)cc2Cl)o1; [None]; [None]; [0]
-Cc1ccc(-c2nn(C)c3ccccc23)cc1; ['Cc1ccc(I)cc1']; ['Cn1ncc2ccccc21']; [0.995558739]
-Cn1nc(-c2cc(C(F)(F)F)ccn2)c2ccccc21; [None]; [None]; [0]
-Cn1nc(-c2cccc(F)c2)c2ccccc21; ['Cn1nc(Br)c2ccccc21']; ['OB(O)c1cccc(F)c1']; [0.999944329]
-Cn1nc(-c2nc3cc(C(F)(F)F)ccc3[nH]2)c2ccccc21; [None]; [None]; [0]
-Cn1nc(-c2ccc(OC(F)(F)F)cc2)c2ccccc21; ['Cn1ncc2ccccc21']; ['FC(F)(F)Oc1ccc(I)cc1']; [0.999967]
-Cn1nc(-c2cccc3sccc23)c2ccccc21; [None]; [None]; [0]
-Cn1nc(-c2cccc(C(F)(F)F)c2)c2ccccc21; ['Cn1nc(Br)c2ccccc21', 'Cn1ncc2ccccc21', 'Cn1ncc2ccccc21']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1']; [0.999991417, 0.999991417, 0.999991417]
-Cc1cc(=O)n(-c2nn(C)c3ccccc23)n1C; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccccc2)n1-c1nn(C)c2ccccc12; [None]; [None]; [0]
-Cc1cnc(-c2nn(C)c3ccccc23)o1; [None]; [None]; [0]
-Cc1cncc(-c2nn(C)c3ccccc23)n1; [None]; [None]; [0]
-Cc1cccc(-c2nn(C)c3ccccc23)n1; [None]; [None]; [0]
-Cc1ccc(COc2ccccc2Cl)cc1; ['Cc1ccc(CBr)cc1', 'Cc1ccc(CO)cc1']; ['Oc1ccccc1Cl', 'Oc1ccccc1Cl']; [0.999393344, 0.999393344]
-FC(F)(F)c1ccc2[nH]c(COc3ccccc3Cl)nc2c1; ['Nc1ccc(C(F)(F)F)cc1N', 'N#CCOc1ccccc1Cl']; ['O=C(O)COc1ccccc1Cl', 'Nc1ccc(C(F)(F)F)cc1N']; [0.999987721, 0.999987721]
-Cn1nc(-c2cncs2)c2ccccc21; [None]; [None]; [0]
-Cc1cc(=O)n(COc2ccccc2Cl)n1C; [None]; [None]; [0]
-Cc1nccn(-c2nn(C)c3ccccc23)c1=O; ['Cc1ncc[nH]c1=O']; ['Cn1nc(Br)c2ccccc21']; [0.998930156]
-Cc1cc(=O)n(-c2ccccc2)n1COc1ccccc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1ccccc1; []; []; []
-Cc1ccc(-c2cnc(O)c(Cl)c2)cc1; ['Cc1ccc(B(O)O)cc1']; ['Oc1ncc(Br)cc1Cl']; [0.998992145]
-Cc1cnc(COc2ccccc2Cl)o1; [None]; [None]; [0]
-Cc1cnc(-c2cnc(O)c(Cl)c2)o1; [None]; [None]; [0]
-Cc1nccn(COc2ccccc2Cl)c1=O; [None]; [None]; [0]
-NC(=O)c1cc(-c2cc(F)ccc2F)c[nH]1; [None]; [None]; [0]
-Oc1ncc(-c2nc3cc(C(F)(F)F)ccc3[nH]2)cc1Cl; ['Nc1ccc(C(F)(F)F)cc1N']; ['O=C(O)c1cnc(O)c(Cl)c1']; [0.995627761]
-NC(=O)c1cc(-c2ccccc2Cl)c[nH]1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cc(C(F)(F)F)ccn2)c[nH]1; [None]; [None]; [0]
-NC(=O)c1cc(-c2nc3ccccc3[nH]2)c[nH]1; [None]; [None]; [0]
-CC(=O)N1CCN(c2ccc(-c3c[nH]c(C(N)=O)c3)cc2)CC1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cccc(C(F)(F)F)c2)c[nH]1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cccs2)c[nH]1; [None]; [None]; [0]
-Cn1ccnc1-c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cccc3c2OCCO3)c[nH]1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2c[nH]c(C(N)=O)c2)cc1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccon2)c[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2c[nH]c(C(N)=O)c2)o1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccoc2)c[nH]1; [None]; [None]; [0]
-Cc1cn(-c2cccc(-c3c[nH]c(C(N)=O)c3)c2)cn1; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccnc(N3CCOCC3)c2)c[nH]1; [None]; [None]; [0]
-Cc1nnc(Cn2ccccc2=O)o1; ['CC(=O)O']; ['NNC(=O)Cn1ccccc1=O']; [0.999962211]
-Cn1c(Cn2ccccc2=O)cc2ccccc21; [None]; [None]; [0]
-O=c1ccccn1Cc1ccnc(N2CCOCC2)c1; [None]; [None]; [0]
-CC(=O)N1CCN(c2ccc(-c3ccc(NC(N)=O)cc3)cc2)CC1; [None]; [None]; [0]
-Cc1cn(-c2cccc(Cn3ccccc3=O)c2)cn1; [None]; [None]; [0]
-Cc1cn(-c2cccc(-c3ccc(NC(N)=O)cc3)c2)cn1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(NC(N)=O)cc2)o1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(O)cc2C)cc1; ['Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1B(O)O']; ['Cc1ccc(B(O)O)cc1', 'Cc1ccc(I)cc1']; [0.999470413, 0.999470413]
-NC(=O)Nc1ccc(-c2ccnc(N3CCOCC3)c2)cc1; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1nc2cc(C(F)(F)F)ccc2[nH]1; ['Cc1cc(O)ccc1C(=O)O']; ['Nc1ccc(C(F)(F)F)cc1N']; [0.999953389]
-Cc1ccc(-c2ccc3c(c2)CCN3)cc1; [None]; [None]; [0]
-Cc1cnc(-c2ccc(O)cc2C)o1; [None]; [None]; [0]
-FC(F)(F)c1ccc2[nH]c(-c3ccc4c(c3)CCN4)nc2c1; ['Nc1ccc(C(F)(F)F)cc1N']; ['O=C(O)c1ccc2c(c1)CCN2']; [0.999913931]
-FC(F)(F)Oc1ccc2c(c1)CCN2; [None]; [None]; [0]
-Cc1cnc(-c2ccc3c(c2)CCN3)o1; [None]; [None]; [0]
-c1cc2c(cc1C[C@H]1CCCCO1)CCN2; [None]; [None]; [0]
-Cc1nccn(-c2ccc3c(c2)CCN3)c1=O; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccc3c(c2)CCN3)n1C; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccccc2)n1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3ccccc3n2C)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccnc(N3CCOCC3)c2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nnc(C)o2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cccc(-n3cnc(C)c3)c2)cc1; [None]; [None]; [0]
-Cc1ccc(-c2ccc(C(N)=O)c(C)c2)cc1; [None]; [None]; [0]
-Cc1cc(-c2nc3cc(C(F)(F)F)ccc3[nH]2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1cc(-c2cc(C(F)(F)F)ccn2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1cc(-c2cccc(F)c2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1cc(-c2cccc(C(F)(F)F)c2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1cc(-c2cccc3sccc23)ccc1C(N)=O; [None]; [None]; [0]
-Cc1cnc(-c2ccc(C(N)=O)c(C)c2)o1; [None]; [None]; [0]
-Cc1cc(-c2cncs2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1cc(-c2ccc(OC(F)(F)F)cc2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1cccc(-c2ccc(C(N)=O)c(C)c2)n1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cc(F)ccc2F)cc1; [None]; [None]; [0]
-Cc1cncc(-c2ccc(C(N)=O)c(C)c2)n1; [None]; [None]; [0]
-O=C(Nc1ccccc1)Nc1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(C(F)(F)F)c1)Nc1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2Cc2ccccc2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2ccccc2Cl)cc1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2Cc2ccc3c(c2)CCO3)cc1; [None]; [None]; [0]
-CC(C)(C)NC(=O)Cc1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
-C[C@@H](NC(=O)Cc1[nH]cnc1-c1ccc(F)cc1)c1ccccc1; [None]; [None]; [0]
-O=C(Cc1[nH]cnc1-c1ccc(F)cc1)N[C@H](CO)c1ccccc1; [None]; [None]; [0]
-COc1cccc([C@@H](C)NC(=O)Cc2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
-CN(C(=O)Cc1[nH]cnc1-c1ccc(F)cc1)C(C)(C)C; [None]; [None]; [0]
-Cn1c(-c2[nH]cnc2-c2ccc(F)cc2)cc2ccccc21; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cccc3c2OCCO3)cc1; [None]; [None]; [0]
-CC(=O)NC(C)(C)c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
-O=c1ccccn1Cc1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2[nH]cnc2-c2ccc(F)cc2)cc1; [None]; [None]; [0]
-Cn1ccnc1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
-Cc1nnc(-c2[nH]cnc2-c2ccc(F)cc2)o1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cccs2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2ccoc2)cc1; ['Fc1ccc(-c2c[nH]cn2)cc1']; ['OB(O)c1ccoc1']; [0.995720208]
-Fc1ccc(-c2nc[nH]c2-c2ccon2)cc1; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccccc2Cl)n1C; ['COS(=O)(=O)OC']; ['Cc1cc(=O)n(-c2ccccc2Cl)[nH]1']; [0.995153189]
-Fc1ccc(-c2nc[nH]c2Nc2ccon2)cc1; [None]; [None]; [0]
-Cc1cn(-c2cccc(-c3[nH]cnc3-c3ccc(F)cc3)c2)cn1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2ccnc(N3CCOCC3)c2)cc1; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccccc2)n1C; ['COS(=O)(=O)OC']; ['Cc1cc(=O)n(-c2ccccc2)[nH]1']; [0.998291671]
-Cc1cc(=O)n(Cn2ccccc2=O)n1C; [None]; [None]; [0]
-Cc1cc(=O)n(C[C@@H](C)O)n1C; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccccc2)n1-c1ccccc1Cl; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccccc2)n1C[C@@H](C)O; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccccc2)n1Cn1ccccc1=O; [None]; [None]; [0]
-Cc1cc(=O)n(-c2ccccc2)n1-c1ccccc1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cnc2[nH]cc(N)c2c1; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; [0.99967360496521, 0.9971798658370972]
+CCOc1ccccc1-c1cnc2[nH]cc(N)c2c1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999862313270569, 0.9998555779457092, 0.9973525404930115, 0.9903301000595093, 0.8669643402099609]
+CC(C)S(=O)(=O)c1ccccc1-c1cnc2[nH]cc(N)c2c1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9994645714759827, 0.9988350868225098, 0.9589805603027344]
+Nc1c[nH]c2ncc(-c3ccnc4ccccc34)cc12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Brc1ccnc2ccccc12', 'Nc1c[nH]c2ncc(Cl)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccnc2ccccc12', 'Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccnc2ccccc12']; [0.9999194145202637, 0.9963984489440918, 0.9929924607276917, 0.9816426634788513]
+CCn1cc(-c2cnc3[nH]cc(N)c3c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999940395355225, 0.9986475706100464]
+CP(C)(=O)c1ccccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+COc1ccc(F)cc1[C@@H](C)c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccccc3OC(F)(F)F)cc12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'FC(F)(F)Oc1ccccc1Br']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999774694442749, 0.9994050860404968, 0.9959591627120972, 0.9925793409347534]
+Cc1nnc(-c2ccccc2-c2cnc3[nH]cc(N)c3c2)[nH]1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cnc4[nH]cc(N)c4c3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9971938729286194]
+NC(=O)c1ccccc1-c1cnc2[nH]cc(N)c2c1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999915957450867, 0.9999704360961914, 0.999005913734436, 0.9883054494857788, 0.9583431482315063]
+Nc1c[nH]c2ncc(-c3cnn(Cc4ccccc4)c3)cc12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Brc1cnn(Cc2ccccc2)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999902248382568, 0.9994637370109558, 0.981293261051178]
+Nc1c[nH]c2ncc(-c3ccccc3C(=O)[O-])cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cc(Cl)ccc3Cl)cc12; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999842643737793, 0.9984503388404846]
+Nc1c[nH]c2ncc(-c3cccc(NC(=O)c4ccccc4)c3)cc12; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [1.0, 0.9999914169311523]
+Cc1ccc(-c2cnc3[nH]cc(N)c3c2)c(Br)c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cnn(CCO)c3)cc12; [None]; [None]; [0]
+COc1cnc(-c2cnc3[nH]cc(N)c3c2)nc1; [None]; [None]; [0]
+Nc1c[nH]c2ncc([C@@H](N)c3ccco3)cc12; [None]; [None]; [0]
+CNc1nc(C)c(-c2cnc3[nH]cc(N)c3c2)s1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cnc3[nH]cc(N)c3c2)cs1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cnc4ccccn34)cc12; ['Nc1c[nH]c2ncc(Br)cc12']; ['c1ccn2ccnc2c1']; [0.992957353591919]
+Cc1nc(C)c(-c2cnc3[nH]cc(N)c3c2)s1; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9999898672103882]
+Nc1c[nH]c2ncc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3c(Cl)cccc3Cl)cc12; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9998747110366821, 0.9959887266159058]
+Nc1c[nH]c2ncc(-c3cccc(Br)c3)cc12; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Brc1cccc(Br)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999868869781494, 0.9996781349182129, 0.9996026754379272, 0.9869924783706665]
+Cc1ccc(Cl)c(-c2cnc3[nH]cc(N)c3c2)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9998884201049805, 0.9986701607704163, 0.9951398372650146, 0.8401960134506226]
+Nc1c[nH]c2ncc(-c3cnn4ncccc34)cc12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.999984085559845]
+Nc1c[nH]c2ncc(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc4ccccc4c3)cc12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Brc1ccc2ccccc2c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999991655349731, 0.9999485015869141, 0.9998874664306641, 0.9972556233406067]
+Nc1nccc(-c2cnc3[nH]cc(N)c3c2)n1; [None]; [None]; [0]
 Cc1c(-c2cnc3[nH]cc(N)c3c2)sc(=O)n1C; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cnn4ncccc34)cc12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cnc2[nH]cc(N)c2c1; ['NC(=O)c1c(F)cccc1Br']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9998327493667603]
+Nc1c[nH]c2ncc(-c3c[nH]nc3C(F)(F)F)cc12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9999942183494568]
+CC(C)(C)c1cnc(Cc2cnc3[nH]cc(N)c3c2)o1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cccc(CC(=O)[O-])c3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cncc4ccccc34)cc12; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cnc4[nH]cc(N)c4c3)cc2)cn1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cnc4[nH]cc(N)c4c3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [1.0, 0.9999991655349731, 0.9999972581863403, 0.999626100063324]
+Nc1[nH]nc2cc(-c3cnc4[nH]cc(N)c4c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cnc4[nH]cc(N)c4c3)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]cc(N)c3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cccc(CO)c3)cc12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'OCc1cccc(Br)c1']; [0.9999873638153076, 0.9998226165771484, 0.9923000335693359, 0.9904541969299316, 0.9593309164047241, 0.9097204804420471]
+Nc1c[nH]c2ncc(-c3cccc(O)c3)cc12; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1cccc(O)c1']; [0.9999313354492188, 0.9977777004241943]
+Nc1c[nH]c2ncc(-c3ccc(-c4cn[nH]c4)cc3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cc4ccccc4[nH]3)cc12; [None]; [None]; [0]
 CC(C)n1cc(-c2cnc3[nH]cc(N)c3c2)nn1; [None]; [None]; [0]
+CCCn1cnc(-c2cnc3[nH]cc(N)c3c2)n1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cnc3[nH]cc(N)c3c2)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; ['Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9997594952583313, 0.9990617036819458, 0.9358139038085938]
+Nc1c[nH]c2ncc(-c3csc4ncncc34)cc12; ['Brc1csc2ncncc12']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9926137924194336]
+CSc1nc(-c2cnc3[nH]cc(N)c3c2)c[nH]1; [None]; [None]; [0]
+COc1cc(-c2cnc3[nH]cc(N)c3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(C)c1oncc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; [0.9999995231628418, 0.9999977350234985]
+Nc1ncncc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(F)cc3C(F)(F)F)cc12; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999339580535889, 0.9997808933258057, 0.9960755705833435]
+CCNc1nc2ccc(-c3cnc4[nH]cc(N)c4c3)cc2s1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cnc3[nH]cc(N)c3c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncccc12']; [0.9999996423721313, 0.9999569654464722, 0.9999017715454102, 0.998272180557251, 0.8489699959754944]
+Cn1cc(-c2cnc3[nH]cc(N)c3c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999911785125732, 0.9926719665527344]
+CCCn1cc(-c2cnc3[nH]cc(N)c3c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999916553497314, 0.9990894794464111]
+COc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [1.0, 0.9999872446060181, 0.9999492764472961, 0.9988491535186768]
+CC[C@H](CO)c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(Cc3c(F)cccc3F)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cc[nH]c(=O)c3)cc12; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.999996542930603]
+Nc1c[nH]c2ncc(-c3cnn4ccccc34)cc12; [None]; [None]; [0]
 Nc1c[nH]c2ncc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cccc4c3C(=O)CC4)cc12; ['Nc1c[nH]c2ncc(Br)cc12']; ['O=C1CCc2cccc(Br)c21']; [0.9692015647888184]
+C[S@](=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999948740005493, 0.9997528195381165]
+CC(C)(N)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.7777039408683777]
+CN(c1ncccc1Cc1cnc2[nH]cc(N)c2c1)S(C)(=O)=O; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Cc2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; [1.0, 0.9999665021896362, 0.9999260902404785]
+CCNS(=O)(=O)c1ccccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cnc3[nH]cc(N)c3c2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999963641166687, 0.9998267889022827]
+Nc1c[nH]c2ncc(-c3cc4c(=O)[nH]ccc4o3)cc12; [None]; [None]; [0]
+COc1cccc(F)c1-c1cnc2[nH]cc(N)c2c1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; [0.9999994039535522, 0.9999567270278931, 0.9999020099639893, 0.999744176864624]
+Nc1c[nH]c2ncc(-c3c[nH]c4cnccc34)cc12; ['Nc1c[nH]c2ncc(Br)cc12', 'Brc1c[nH]c2cnccc12', 'Nc1c[nH]c2ncc(Cl)cc12']; ['OB(O)c1c[nH]c2cnccc12', 'Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9864266514778137, 0.9633036851882935, 0.9495233297348022]
 Nc1c[nH]c2ncc(-c3cc4c(=O)[nH]cc(Br)c4s3)cc12; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.999998927116394, 0.9999015927314758, 0.999751091003418, 0.9358227252960205]
+CNS(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; [0.9999951124191284, 0.9998332262039185, 0.999445915222168]
+Nc1c[nH]c2ncc(-c3cnc4[nH]ccc4c3)cc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 0.9999279975891113]
+CNC(=O)c1c(F)cccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc([C@H](CO)Cc3ccccc3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(N4CCOCC4)cc3)cc12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Brc1ccc(N2CCOCC2)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1c[nH]c2ncc(Br)cc12']; [1.0, 0.9999982118606567, 0.9999964237213135, 0.998098611831665]
+Nc1c[nH]c2ncc([C@H](CO)c3ccccc3)cc12; [None]; [None]; [0]
+CC1(c2cnc3[nH]cc(N)c3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3c(F)cccc3Cl)cc12; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1c(F)cccc1Cl']; [1.0, 0.9999958872795105]
+CS(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2cnc3[nH]cc(N)c3c2)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999523162841797, 0.9998248815536499]
+Cc1cc(-c2cnc3[nH]cc(N)c3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(C(=O)c4ccccc4)cc3)cc12; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9999978542327881, 0.9999871253967285, 0.9999183416366577, 0.9992111921310425, 0.9263921976089478]
+Nc1c[nH]c2ncc(-c3cn(Cc4ccccc4)nn3)cc12; ['Nc1c[nH]c2ncc(Br)cc12']; ['c1ccc(Cn2ccnn2)cc1']; [0.998584508895874]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cnc3[nH]cc(N)c3c2)[nH]1; [None]; [None]; [0]
 Nc1c[nH]c2ncc(-c3ccn(CC[NH3+])n3)cc12; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+CCc1cc(-c2cnc3[nH]cc(N)c3c2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cnc3[nH]cc(N)c3c2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2cnc3[nH]cc(N)c3c2)nc(N)n1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cnc3[nH]cc(N)c3c2)n1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3nc4ccccc4s3)cc12; [None]; [None]; [0]
+Nc1cncc(-c2cnc3[nH]cc(N)c3c2)n1; ['Nc1c[nH]c2ncc(Br)cc12']; ['Nc1cncc(Br)n1']; [0.9967283010482788]
 Cn1cc(C(N)=O)cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cccc4ccsc34)cc12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999994039535522, 0.9996533989906311, 0.9934408664703369]
+CNC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)s1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cccc4nnsc34)cc12; ['Brc1cccc2nnsc12']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.989699125289917]
 CC1(C)Oc2ccc(-c3cnc4[nH]cc(N)c4c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc4[nH]cc(N)c4c3)c2)cc1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc4nnsc34)cc12; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(CCCNC(=O)c3cccs3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3c[nH]c4cccnc34)cc12; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; [0.9999840259552002, 0.9994358420372009]
+Nc1c[nH]c2ncc(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cnc3[nH]cc(N)c3c2)[nH]1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cnc2[nH]cc(N)c2c1; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999935626983643, 0.9999340772628784, 0.9998198747634888, 0.995064377784729]
+Nc1c[nH]c2ncc(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
 Nc1c[nH]c2ncc(CCCNC(=O)C3CCC3)cc12; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnc3[nH]cc(N)c3c2)n1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(NC(=O)C4CCNCC4)c3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cn(CCO)cn3)cc12; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cnc3[nH]cc(N)c3c2)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.99986332654953, 0.9992890357971191, 0.998286247253418, 0.9779765605926514]
+COc1ncccc1-c1cnc2[nH]cc(N)c2c1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999803304672241, 0.9997379779815674, 0.9991724491119385, 0.9988257884979248, 0.968682050704956]
+CCOc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999988079071045, 0.9999130964279175, 0.9998346567153931, 0.9266902208328247]
+CC(=O)N(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.999998927116394]
+CS(=O)(=O)c1cccc(-c2cnc3[nH]cc(N)c3c2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999998211860657, 0.9999282360076904, 0.999821662902832, 0.9997698068618774]
+CN(C)S(=O)(=O)c1cccc(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1Cc1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
+CN(C)c1cc(-c2cnc3[nH]cc(N)c3c2)cnn1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cnc3[nH]cc(N)c3c2)c1; ['N#Cc1ccc(O)c(B(O)O)c1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9938762187957764]
+COc1cc(-c2cnc3[nH]cc(N)c3c2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999932050704956, 0.9986509084701538, 0.9984676837921143, 0.9544070959091187]
+COc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999970197677612, 0.999626636505127, 0.9995445013046265]
+Nc1c[nH]c2ncc(-c3cccc(NC(=O)C4CC4)c3)cc12; ['Nc1c[nH]c2ncc(Br)cc12']; ['O=C(Nc1cccc(Br)c1)C1CC1']; [0.9994385242462158]
 Cc1nc(C(C)(C)O)sc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4[nH]cc(N)c4c3)cc2)CC1; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3cnc4[nH]cc(N)c4c3)cn2)c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ccc4c(c3)CS(=O)(=O)C4)cc12; [None]; [None]; [0]
-CC(C)c1cc(-c2cnc3[nH]cc(N)c3c2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3cnc4[nH]cc(N)c4c3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cnc3[nH]cc(N)c3c2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cnc4[nH]cc(N)c4c3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(Cc3nc4c(F)c(F)ccc4[nH]3)cc12; [None]; [None]; [0]
-Nc1c[nH]c2ncc(NC3CN(C(=O)C4CC4)C3)cc12; [None]; [None]; [0]
-Nc1cc(-c2cnc3[nH]cc(N)c3c2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cc12; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cnc3[nH]cc(N)c3c1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cnc4[nH]cc(N)c4c3)[nH]c2c1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(-c3ncn4c3CCCC4)cc12; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3cnc4[nH]cc(N)c4c3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cnc4[nH]cc(N)c4c3)cn2)CC1; [None]; [None]; [0]
-Nc1c[nH]c2ncc(NC(=O)c3cccc(OC(F)(F)F)c3)cc12; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cnc4[nH]cc(N)c4c3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
-Cn1nc(-c2cnc3[nH]cc(N)c3c2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2cnc3[nH]cc(N)c3c2)ncc1F; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1c[nH]c2ncnc(NC)c12; [None]; [None]; [0]
-CCOc1ccccc1-c1c[nH]c2ncnc(NC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccccc3-c3nnc(C)[nH]3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccccc3S(=O)(=O)C(C)C)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccccc3P(C)(C)=O)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccnc4ccccc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(C(F)(F)F)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccccc3Br)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccccc3OC(F)(F)F)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccccc3C(=O)[O-])c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccccc3C(N)=O)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnn(Cc4ccccc4)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnc(-c4ccccc4)[nH]3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnn(CCO)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3csc(C(C)(C)C)n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(NC(=O)c4ccccc4)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-n3ncc4cccc(F)c4c3=O)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ncc(OC)cn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C)cc3Br)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3c(C)nc4ccccn34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnc4ccccn34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3sc(C)nc3C)c12; [None]; [None]; [0]
-CNc1nc(C)c(-c2c[nH]c3ncnc(NC)c23)s1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3sc(N)nc3C)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnc4cccnn34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(Cn4cncn4)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3c(Cl)cccc3Cl)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(C)ccc3Cl)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3sc(=O)n(C)c3C)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccnc(N)n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnn4ncccc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(OC)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc4ccccc4c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-n3cnc4ccccc43)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(CC(=O)[O-])c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cncc4ccccc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(-c4cnn(C)c4)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc4c(N)[nH]nc4c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc4c(c3)CS(=O)(=O)N4C)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc4c(cnn4C)c3)c12; [None]; [None]; [0]
-CCCn1cnc(-c2c[nH]c3ncnc(NC)c23)n1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(O)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(CO)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C(=O)[O-])c(OC)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cn(C(C)C)nn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3c[nH]c(SC)n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnoc3C(C)C)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3csc4ncncc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(CCC#N)c3)c12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3c[nH]c4ncnc(NC)c34)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(F)cc3C(F)(F)F)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(NC(C)=O)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cn(C)c4ccccc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(OC)c(Cl)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnn4ccccc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)c12; [None]; [None]; [0]
-CCCn1cc(-c2c[nH]c3ncnc(NC)c23)cn1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc[nH]c(=O)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc4c3C(=O)CC4)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C(C)(C)N)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc([S@](C)=O)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc4c(=O)[nH]ccc4o3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc4c(=O)[nH]cc(Br)c4s3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3c[nH]c4ccccc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3c[nH]c4cnccc34)c12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1c[nH]c2ncnc(NC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnc4[nH]ccc4c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(C3(C)CCN(S(C)(=O)=O)CC3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(S(=O)(=O)NC)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(N4CCOCC4)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(S(C)(=O)=O)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(C)nn3-c3cccc(Cl)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-n3ccc(CO)n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-n3cnc(CCO)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(F)c3C(N)=O)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-n3ncc4ccccc43)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-n3ncc4c(O)cccc43)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccnc3O)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(-n4cncn4)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3nc4ccc(O)cc4[nH]3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3[nH]c(SC)nc3C)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(OC)cc3OC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C(=O)c4ccccc4)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3nncn3C(C)C)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3nncn3C3CC3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccn(CC[NH3+])n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cn(Cc4ccccc4)nn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnc(N)s3)c12; [None]; [None]; [0]
-CCc1cc(-c2c[nH]c3ncnc(NC)c23)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2c[nH]c3ncnc(NC)c23)nc(N)n1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3nnc(N)s3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(C(N)=O)cn3C)c12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c[nH]c3ncnc(NC)c23)s1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3c(F)cccc3OC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3nc4ccccc4s3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)c12; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3c[nH]c4ncnc(NC)c34)c2)cc1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc4ccsc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc4nnsc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnc(NC(C)=O)[nH]3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ncc4ccccc4n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3c[nH]c4cccnc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ncc4cc[nH]c4n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(C#N)ccc3OC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc([C@H]3CC[C@@](C)(O)CC3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(OC)ccc3OC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(C(C)(C)O)n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnnc(N(C)C)c3)c12; [None]; [None]; [0]
+Cc1cc(Nc2cnc3[nH]cc(N)c3c2)sn1; ['Cc1cc(N)sn1', 'Cc1cc(N)sn1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; [0.9959366321563721, 0.9864901304244995]
+Cc1ccc2ncn(-c3cnc4[nH]cc(N)c4c3)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9990639686584473, 0.9986554384231567]
+Nc1c[nH]c2ncc(-c3nccc4ccccc34)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3nc4ccccc4[nH]3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(C(=O)[O-])cc3)cc12; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999986290931702, 0.9999973773956299, 0.9999301433563232, 0.9998133182525635, 0.9460282921791077]
+Nc1c[nH]c2ncc(Nc3ncccn3)cc12; ['Nc1c[nH]c2ncc(Br)cc12']; ['Nc1ncccn1']; [0.9883698225021362]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4[nH]cc(N)c4c3)cc2)CC1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cccc(C4CCNCC4)c3)cc12; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cnc4[nH]cc(N)c4c3)cn2)c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(C(=O)Nc4ccccc4)cc3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(OCCO)cc3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(Nc3ccncn3)cc12; ['Nc1c[nH]c2ncc(Br)cc12']; ['Nc1ccncn1']; [0.9996946454048157]
+Nc1c[nH]c2ncc(-c3ccc(C(=O)N4CCOCC4)cc3)cc12; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9999998807907104, 0.9999986290931702, 0.9999881386756897, 0.9998405575752258, 0.9852915406227112]
+CC(=O)NCc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(C(=O)N4CCOCC4)cn3)cc12; ['Nc1c[nH]c2ncc(Br)cc12']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999838471412659]
+Nc1c[nH]c2ncc(-c3ccc(C(F)(F)F)cc3)cc12; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'FC(F)(F)c1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999989867210388, 0.9999386668205261, 0.9999294281005859, 0.9764727354049683]
+CN(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999996423721313, 0.9999824166297913, 0.9609896540641785]
+C[C@H](O)COc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc4c(c3)CS(=O)(=O)C4)cc12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [1.0, 0.9999994039535522, 0.9999518394470215, 0.9998605847358704, 0.9988462924957275, 0.9561293125152588]
+Nc1c[nH]c2ncc(-c3ccc(Br)cc3)cc12; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccc(Br)cc1']; [0.9999954700469971, 0.9983375072479248]
+Nc1c[nH]c2ncc([C@H]3CCN(C(=O)c4ccccc4)C3)cc12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9998255968093872, 0.9996805191040039, 0.9208683967590332]
+CS(=O)(=O)N1CCC(c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
+CC(C)c1cc(-c2cnc3[nH]cc(N)c3c2)nc(N)n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [1.0, 0.9984768629074097]
+CC(=O)N1CCCN(c2cccc(-c3cnc4[nH]cc(N)c4c3)c2)CC1; [None]; [None]; [0]
+CCCOc1ccc(-c2cnc3[nH]cc(N)c3c2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; [1.0, 0.9999992847442627, 0.9999678134918213, 0.9997926950454712]
+Nc1c[nH]c2ncc(-c3ccn4nccc4n3)cc12; ['Clc1ccn2nccc2n1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9999325275421143]
+CNS(=O)(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.999983549118042, 0.9999779462814331, 0.9990894794464111, 0.9983811378479004, 0.9961310625076294]
+COc1ccc(Cl)cc1-c1cnc2[nH]cc(N)c2c1; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999333620071411, 0.9981757998466492, 0.9914308190345764, 0.9473095536231995]
+Nc1c[nH]c2ncc(-c3c[nH]c4ccccc34)cc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9995944499969482, 0.941779613494873]
+Nc1c[nH]c2ncc(-c3ccc4c(c3)CCO4)cc12; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Brc1ccc2c(c1)CCO2']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999996423721313, 0.9999551773071289, 0.9999157190322876, 0.9995405077934265]
+Nc1c[nH]c2ncc(-c3ccccc3-n3cccn3)cc12; [None]; [None]; [0]
+COc1cc(-c2cnc3[nH]cc(N)c3c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999966621398926, 0.9993408918380737]
+COc1cc(OC)c(-c2cnc3[nH]cc(N)c3c2)cc1Cl; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cccc4c3OCO4)cc12; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2']; [0.9999975562095642, 0.9993571043014526, 0.995913028717041]
+CC(C)c1ccc2nc(-c3cnc4[nH]cc(N)c4c3)[nH]c2c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cc(-c4ccccc4)[nH]n3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3scc4c3OCCO4)cc12; ['CC1(C)OB(c2scc3c2OCCO3)OC1(C)C']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9999949336051941]
+Nc1c[nH]c2ncc(-c3cnc4ccccc4c3)cc12; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1cnc2ccccc2c1']; [0.9999806880950928, 0.9977017641067505]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999997615814209, 0.9999994039535522, 0.9999409914016724, 0.9998111724853516, 0.855064868927002]
+CC(C)(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999991655349731, 0.9999051094055176, 0.9871526956558228]
+Nc1c[nH]c2ncc(-c3cc4ccccc4s3)cc12; ['Nc1c[nH]c2ncc(Br)cc12', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C']; ['OB(O)c1cc2ccccc2s1', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999034404754639, 0.9998534917831421]
+CCN1CCN(Cc2ccc(-c3cnc4[nH]cc(N)c4c3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999812841415405, 0.9999720454216003, 0.9868291020393372]
+CSc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999986886978149, 0.9998044371604919, 0.9996856451034546, 0.7765963673591614]
+Nc1nc(-c2cnc3[nH]cc(N)c3c2)cs1; [None]; [None]; [0]
+Cc1cc(-c2cnc3[nH]cc(N)c3c2)nc(N)n1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(F)cc3Cl)cc12; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Fc1ccc(Br)c(Cl)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccc(F)cc1Cl', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999982118606567, 0.999886155128479, 0.9978026747703552]
+Nc1c[nH]c2ncc(-c3ccc4c(c3)CCC(=O)N4)cc12; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999985694885254, 0.9972368478775024]
+Nc1c[nH]c2ncc(-c3ncc(Br)cn3)cc12; [None]; [None]; [0]
+CC1(COc2cnc3[nH]cc(N)c3c2)COC1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccn(-c4cccc(Cl)c4)n3)cc12; [None]; [None]; [0]
+COc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999993443489075, 0.9999115467071533, 0.9998157024383545, 0.9983624219894409]
+CCc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999988079071045, 0.99982088804245, 0.9997851848602295, 0.8378153443336487]
+Nc1c[nH]c2ncc(-c3ccc(Cl)cc3Cl)cc12; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Clc1ccc(Br)c(Cl)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999955892562866, 0.9998881816864014, 0.9981943368911743, 0.9928157329559326]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
+COc1cc(-c2cnc3[nH]cc(N)c3c2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1']; ['Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999994039535522, 0.9999974966049194]
+COc1ccc(CNc2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(NC3CN(C(=O)C4CC4)C3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cccc4ccc(O)cc34)cc12; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9999748468399048]
+Nc1c[nH]c2ncc(-c3ncc4cccn4n3)cc12; [None]; [None]; [0]
+Cn1cc(-c2cnc3[nH]cc(N)c3c2)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999979138374329, 0.9998998641967773, 0.9980503916740417]
+Nc1c[nH]c2ncc(-c3cc4ccccn4n3)cc12; [None]; [None]; [0]
+COc1cc(F)c(-c2cnc3[nH]cc(N)c3c2)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999969005584717, 0.9999723434448242, 0.9999250173568726, 0.9282206296920776]
+COc1cc(-c2cnc3[nH]cc(N)c3c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999997615814209, 0.9999849796295166, 0.9998394250869751, 0.9998205304145813]
+CC1(C)Cc2cc(-c3cnc4[nH]cc(N)c4c3)ccc2O1; [None]; [None]; [0]
+Cc1csc2c(-c3cnc4[nH]cc(N)c4c3)ncnc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ncc(Cl)cn3)cc12; [None]; [None]; [0]
+Cc1cc(Nc2cnc3[nH]cc(N)c3c2)nn1C; ['Cc1cc(N)nn1C']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9868496656417847]
+CNC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; [0.9999998211860657, 0.9999358654022217, 0.9998311996459961]
+COc1ccc2cccc(-c3cnc4[nH]cc(N)c4c3)c2c1; [None]; [None]; [0]
+COc1cc(-c2cnc3[nH]cc(N)c3c2)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9846575260162354, 0.8666074872016907]
+Nc1c[nH]c2ncc(NC(=O)c3ccco3)cc12; ['NC(=O)c1ccco1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9884151816368103]
+Nc1cc(-c2cnc3[nH]cc(N)c3c2)c2cc[nH]c2n1; [None]; [None]; [0]
+Cc1nc(Nc2cnc3[nH]cc(N)c3c2)sc1C; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)nc1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnc3[nH]cc(N)c3c2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999954700469971, 0.9998845458030701]
+Nc1c[nH]c2ncc(Cc3ccc(S(=O)(=O)CCO)cc3)cc12; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc4cn[nH]c4c3)cc12; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Brc1ccc2cn[nH]c2c1']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1c[nH]c2ncc(Br)cc12']; [1.0, 0.999997615814209, 0.9999957084655762, 0.9995965957641602]
+CCNC(=O)N1CCC(c2cnc3[nH]cc(N)c3c2)CC1; [None]; [None]; [0]
+COc1ccc2oc(-c3cnc4[nH]cc(N)c4c3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9998754262924194]
+CC(C)(C)c1ccc(C(=O)Nc2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cc12; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cnc3[nH]cc(N)c3c1)cn2C; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3cc4ccccc4o3)cc12; ['Nc1c[nH]c2ncc(Br)cc12']; ['OB(O)c1cc2ccccc2o1']; [0.9999672174453735]
+CNC(=O)c1ccc(OC)c(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ncc4sccc4n3)cc12; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
+COc1ccc2nc(-c3cnc4[nH]cc(N)c4c3)[nH]c2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(OC(F)(F)F)cc3)cc12; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'FC(F)(F)Oc1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999997019767761, 0.9999210834503174, 0.9996492266654968, 0.9757124185562134]
+Nc1c[nH]c2ncc(-c3cc(-c4cccnc4)ccn3)cc12; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+CCc1cccc(-c2cnc3[nH]cc(N)c3c2)n1; ['CCc1cccc(Br)n1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9966133236885071]
+Nc1c[nH]c2ncc(-c3cccc(NC(=O)N4CCCC4)c3)cc12; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ncn4c3CCCC4)cc12; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cnc4[nH]cc(N)c4c3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [1.0, 0.9999993443489075, 0.9999990463256836, 0.9999589920043945]
+CN(C)c1ccc(-c2cnc3[nH]cc(N)c3c2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; [0.9999996423721313, 0.9999454617500305, 0.9997998476028442, 0.9716150760650635]
+CC(=O)N1CCC(n2cc(-c3cnc4[nH]cc(N)c4c3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9999974966049194]
+CC(C)(O)c1ccc2cc(-c3cnc4[nH]cc(N)c4c3)[nH]c2c1; [None]; [None]; [0]
+Cc1cc(-c2cnc3[nH]cc(N)c3c2)cc(C)c1OCCO; [None]; [None]; [0]
+Nc1c[nH]c2ncc(NC(=O)c3cccc(OC(F)(F)F)c3)cc12; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cnc4[nH]cc(N)c4c3)ccc21; [None]; [None]; [0]
+Nc1c[nH]c2ncc(-c3ccc(CCO)cc3)cc12; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Br)cc12']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(I)cc1']; [0.9999961853027344, 0.9999881386756897, 0.9991523027420044, 0.9984848499298096, 0.8754873871803284, 0.8644145727157593]
+Nc1c[nH]c2ncc(-c3cccc(N4CCCC4=O)c3)cc12; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)c(Cl)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9999858140945435]
+Cc1ncc(-c2ccc(-c3cnc4[nH]cc(N)c4c3)cc2)n1C; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cnc2[nH]cc(N)c2c1; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.971322238445282]
+COc1cc(-c2cnn(C)c2)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.9831100106239319]
+CCNC(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1c[nH]c2ncc(Br)cc12', 'Nc1c[nH]c2ncc(Cl)cc12']; [0.9999117255210876, 0.9998927116394043]
+Nc1c[nH]c2ncc(Nc3ccc(F)cn3)cc12; ['Nc1c[nH]c2ncc(Br)cc12']; ['Nc1ccc(F)cn1']; [0.9691864252090454]
+Nc1c[nH]c2ncc(Nc3ccccn3)cc12; ['Nc1c[nH]c2ncc(Br)cc12']; ['Nc1ccccn1']; [0.9986002445220947]
+Cc1cc(Nc2cnc3[nH]cc(N)c3c2)ncc1F; ['Cc1cc(N)ncc1F']; ['Nc1c[nH]c2ncc(Br)cc12']; [0.971198320388794]
+COc1cc(N2CCNCC2)ccc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Cn1nc(-c2cnc3[nH]cc(N)c3c2)cc1C(C)(C)O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]cc(N)c3c2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnc3[nH]cc(N)c3c2)c1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cccc(O)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cccc4ncccc34)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3c(Cl)ccc4c3OCO4)c12; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cnc2[nH]cc(N)c2c1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3n[nH]c4ccccc34)c12; [None]; [None]; [0]
+CCc1ccc(-c2ccn3ncnc(N)c23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccn3ncnc(N)c23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; [0.9999963045120239, 0.9999136924743652, 0.8187494277954102]
+Nc1ncnn2ccc(-c3ccc(Cl)c(O)c3)c12; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccn3ncnc(N)c23)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; [0.9999935626983643, 0.9999269843101501, 0.9983584880828857]
+Nc1ncnn2ccc(-c3c(Cl)cccc3Cl)c12; ['Nc1ncnn2ccc(Br)c12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.999864935874939]
+COc1cc(C(N)=O)ccc1-c1ccn2ncnc(N)c12; ['COc1cc(C(N)=O)ccc1Br']; ['Nc1ncnn2cccc12']; [0.9303272366523743]
+NC(=O)c1ccc(-c2ccn3ncnc(N)c23)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1cccc(F)c1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2cccc12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; [0.9999822378158569, 0.9999743700027466, 0.9969528913497925, 0.9947014451026917, 0.7526558637619019]
+Nc1ncnn2ccc(-c3ccc(O)cc3Cl)c12; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; ['Nc1ncnn2ccc(Br)c12', 'OB(O)c1ccc(O)cc1Cl', 'Oc1cccc(Cl)c1']; [0.9999660849571228, 0.999906063079834, 0.8630719184875488]
+Nc1ncnn2ccc(-c3ccc(O)cc3F)c12; ['Nc1ncnn2ccc(Br)c12', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Nc1ncnn2ccc(Br)c12']; ['OB(O)c1ccc(O)cc1F', 'Nc1ncnn2ccc(Br)c12', 'Oc1ccc(Br)c(F)c1']; [0.9999735355377197, 0.9999661445617676, 0.995599627494812]
+COc1ccc(F)cc1-c1ccn2ncnc(N)c12; ['COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2cccc12']; [0.9999607801437378, 0.9999529123306274, 0.9760602116584778, 0.936208963394165]
+Nc1nccc(-c2ccn3ncnc(N)c23)n1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccn4ncnc(N)c34)cc2[nH]1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)c12; [None]; [None]; [0]
+COc1cc(-c2ccn3ncnc(N)c23)ccc1O; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(C(=O)[O-])cc3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cn[nH]c3Cl)c12; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccn3ncnc(N)c23)o1; [None]; [None]; [0]
+Nc1ncnn2ccc(COc3cccc(Cl)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cccc(Br)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc4ccccc4c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(O)c(F)c3)c12; [None]; [None]; [0]
+Cn1cc(-c2ccn3ncnc(N)c23)c2ccccc21; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(O)cc3O)c12; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccn3ncnc(N)c23)c1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cnn4ncccc34)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3c[nH]c4cnccc34)c12; [None]; [None]; [0]
+Nc1cc(-c2ccn3ncnc(N)c23)ccn1; [None]; [None]; [0]
+Nc1ncnn2ccc(COc3ccccc3Cl)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(F)c(Cl)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc([C@H](CO)c3ccccc3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(CCc3ccc(Cl)cc3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3[nH]cnc3-c3ccc(F)cc3)c12; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cc(O)ccc3Cl)c12; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cnc(O)c(Cl)c3)c12; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccn3ncnc(N)c23)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccn3ncnc(N)c23)c1; [None]; [None]; [0]
+COc1ccc(-c2ccn3ncnc(N)c23)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccn4ncnc(N)c34)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccn4ncnc(N)c34)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccn3ncnc(N)c23)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccn3ncnc(N)c23)cc1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cnc4[nH]ccc4c3)c12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccn3ncnc(N)c23)cc1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3nc4ccccc4s3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cncc(O)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc4c(c3)CC(=O)N4)c12; [None]; [None]; [0]
+CNc1nccc(-c2ccn3ncnc(N)c23)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccn3ncnc(N)c23)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cc(C(F)F)n[nH]3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccncc3Cl)c12; [None]; [None]; [0]
+CCc1sccc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc4c(c3)CCN4)c12; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Nc1ncnn2ccc(Br)c12']; ['Nc1ncnn2ccc(Br)c12', 'OB(O)c1ccc2c(c1)CCN2']; [0.9999995231628418, 0.9999932646751404]
+Nc1ncnn2ccc(-c3cc(Cl)c(O)c(Cl)c3)c12; [None]; [None]; [0]
+CNc1nc(-c2ccn3ncnc(N)c23)ncc1F; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cc(O)n4nccc4n3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(Br)cc3F)c12; [None]; [None]; [0]
+Cc1oc(-c2ccn3ncnc(N)c23)cc1C(=O)[O-]; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccn3ncnc(N)c23)cc1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cc(O)cc(Br)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3[nH]nc4ccc(F)cc34)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(C(=O)NC4CC4)cc3)c12; [None]; [None]; [0]
+Cc1cc(-c2ccn3ncnc(N)c23)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccn4ncnc(N)c34)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2ccn3ncnc(N)c23)cc(C)c1O; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cc(F)c(O)c(F)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc4c(=O)[nH][nH]c4c3)c12; [None]; [None]; [0]
+CSc1cccc(-c2ccn3ncnc(N)c23)c1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ocnc3-c3ccc(F)cc3)c12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccn2ncnc(N)c12; ['CNC(=O)c1ccccc1B(O)O']; ['Nc1ncnn2ccc(Br)c12']; [0.9995294809341431]
+Cc1onc(-c2ccccc2)c1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)c12; [None]; [None]; [0]
+CCOc1ccccc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+CCn1cc(-c2ccn3ncnc(N)c23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; [0.9999839067459106, 0.9995536804199219]
+CC(C)S(=O)(=O)c1ccccc1-c1ccn2ncnc(N)c12; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Nc1ncnn2ccc(Br)c12']; [0.9999919533729553]
+COC(C)(C)CCc1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(Cc3cc(F)cc(F)c3)c12; ['Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1', 'Fc1cc(F)cc(CCl)c1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2cccc12']; [0.9998292922973633, 0.9990506172180176, 0.8889963626861572]
+Nc1ncnn2ccc(-c3ccccc3C(=O)[O-])c12; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccnc4ccccc34)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cnn(Cc4ccccc4)c3)c12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; ['Nc1ncnn2ccc(Br)c12', 'OB(O)c1cnn(Cc2ccccc2)c1', 'c1ccc(Cn2cccn2)cc1']; [0.9999914169311523, 0.9998209476470947, 0.9465648531913757]
+Cc1nnc(-c2ccccc2-c2ccn3ncnc(N)c23)[nH]1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cccc(C(F)(F)F)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccccc3OC(F)(F)F)c12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccn4ncnc(N)c34)cc2c1=O; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cnn(CCO)c3)c12; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccn3ncnc(N)c23)cs1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cccc(NC(=O)c4ccccc4)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cnc(-c4ccccc4)[nH]3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-n3ncc4cccc(F)c4c3=O)c12; [None]; [None]; [0]
+COc1cnc(-c2ccn3ncnc(N)c23)nc1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cc(Cl)ccc3Cl)c12; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccn3ncnc(N)c23)s1; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; [0.9999872446060181, 0.9954139590263367]
+CNc1nc(C)c(-c2ccn3ncnc(N)c23)s1; [None]; [None]; [0]
+CC(C)C(=O)COc1ccn2ncnc(N)c12; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Cc1ccc(-c2ccn3ncnc(N)c23)c(Br)c1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cnc4cccnn34)c12; ['Nc1ncnn2ccc(Br)c12']; ['c1cnn2ccnc2c1']; [0.9999995231628418]
+Nc1ncnn2ccc(-c3cnc4ccccn34)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(NCc3cccnc3)c12; ['NCc1cccnc1']; ['Nc1ncnn2ccc(Br)c12']; [0.9999899864196777]
+Nc1ncnn2ccc(Nc3cccnc3)c12; ['Nc1cccnc1']; ['Nc1ncnn2ccc(Br)c12']; [0.9998177886009216]
+Nc1ncnn2ccc(NCCc3c[nH]cn3)c12; ['NCCc1c[nH]cn1']; ['Nc1ncnn2ccc(Br)c12']; [0.9993073344230652]
+Cc1ccc(Cl)c(-c2ccn3ncnc(N)c23)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2cccc12']; [0.9999040365219116, 0.9977415800094604, 0.9689275026321411]
+Nc1ncnn2ccc(-n3cnc4ccccc43)c12; ['Nc1ncnn2ccc(Br)c12']; ['c1ccc2[nH]cnc2c1']; [0.999995231628418]
+Cc1c(-c2ccn3ncnc(N)c23)sc(=O)n1C; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cccc(Cn4cncn4)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3c[nH]nc3C(F)(F)F)c12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Nc1ncnn2ccc(Br)c12']; [0.9999978542327881]
+Nc1ncnn2ccc(NC(=O)c3cccs3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cncc4ccccc34)c12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'Nc1ncnn2ccc(Br)c12', 'Brc1cncc2ccccc12']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'OB(O)c1cncc2ccccc12', 'Nc1ncnn2ccc(Br)c12']; [0.9999973773956299, 0.9999765157699585, 0.9999399185180664, 0.999491810798645]
+Nc1ncnn2ccc(NCCc3ccccc3)c12; ['NCCc1ccccc1']; ['Nc1ncnn2ccc(Br)c12']; [0.998340904712677]
+NC(=O)c1c(F)cccc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccn4ncnc(N)c34)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; [1.0, 0.998866081237793]
+Nc1ncnn2ccc(NCc3ccc(Cl)cc3)c12; ['NCc1ccc(Cl)cc1']; ['Nc1ncnn2ccc(Br)c12']; [0.9999083280563354]
+Nc1[nH]nc2cc(-c3ccn4ncnc(N)c34)ccc12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cccc(CC(=O)[O-])c3)c12; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccn4ncnc(N)c34)ccc21; [None]; [None]; [0]
+CN1c2ccc(-c3ccn4ncnc(N)c34)cc2CS1(=O)=O; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(-c4cn[nH]c4)cc3)c12; [None]; [None]; [0]
+CCCn1cnc(-c2ccn3ncnc(N)c23)n1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cccc(CO)c3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(NCc3ccccc3F)c12; ['NCc1ccccc1F']; ['Nc1ncnn2ccc(Br)c12']; [0.9999710321426392]
+COc1cc(-c2ccn3ncnc(N)c23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1ncnn2ccc(Nc3ccncc3)c12; [None]; [None]; [0]
+CC(C)n1cc(-c2ccn3ncnc(N)c23)nn1; [None]; [None]; [0]
+CSc1nc(-c2ccn3ncnc(N)c23)c[nH]1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cc4ccccc4[nH]3)c12; ['CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C']; ['Nc1ncnn2ccc(Br)c12']; [0.9999979734420776]
+Nc1ncnn2ccc(-c3csc4ncncc34)c12; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccn3ncnc(N)c23)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; [0.9999799132347107, 0.9904279708862305]
+Nc1nc(-c2ccn3ncnc(N)c23)cs1; [None]; [None]; [0]
+Nc1ncnn2ccc(CCc3c[nH]nn3)c12; [None]; [None]; [0]
+Nc1ncncc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccn3ncnc(N)c23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ncnn2ccc(Br)c12']; [0.9999943971633911]
+CCNc1nc2ccc(-c3ccn4ncnc(N)c34)cc2s1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(F)cc3C(F)(F)F)c12; ['Nc1ncnn2ccc(Br)c12', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ncnn2ccc(Br)c12']; [0.9999402761459351, 0.9935910701751709]
+Nc1ncnn2ccc(Oc3ccccn3)c12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccn3ncnc(N)c23)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2cccc12', 'Nc1ncnn2cccc12', 'Nc1ncnn2ccc(Br)c12']; [0.9999948740005493, 0.9999483823776245, 0.999884843826294, 0.9984935522079468, 0.9626001119613647]
+Nc1ncnn2ccc(NC(=O)c3c(Cl)cccc3Cl)c12; ['NC(=O)c1c(Cl)cccc1Cl']; ['Nc1ncnn2ccc(Br)c12']; [0.921574592590332]
+CS(=O)(=O)C1CCN(c2ccn3ncnc(N)c23)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Nc1ncnn2ccc(Br)c12']; [0.9990596771240234]
+NC(=O)CCCc1ccn2ncnc(N)c12; [None]; [None]; [0]
+CCCn1cc(-c2ccn3ncnc(N)c23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; [0.999996542930603, 0.9998400211334229]
+COc1ccc(-c2ccn3ncnc(N)c23)cc1Cl; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cnn4ccccc34)c12; [None]; [None]; [0]
+CC(C)(COc1ccn2ncnc(N)c12)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)c12; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccn3ncnc(N)c23)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Nc1ncnn2ccc(Br)c12']; [0.9998738765716553]
+Nc1ncnn2ccc(-c3cccc4c3C(=O)CC4)c12; ['Nc1ncnn2ccc(Br)c12']; ['O=C1CCc2cccc(Br)c21']; [0.980803906917572]
+Nc1ncnn2ccc(-c3cc[nH]c(=O)c3)c12; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccn3ncnc(N)c23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccn2ncnc(N)c12; ['CCNS(=O)(=O)c1ccccc1Br']; ['Nc1ncnn2ccc(Br)c12']; [0.9797388315200806]
+CCN(CC)c1ccn2ncnc(N)c12; ['CCNCC']; ['Nc1ncnn2ccc(Br)c12']; [0.9966953992843628]
+COc1cc(CCc2ccn3ncnc(N)c23)cc(OC)c1; [None]; [None]; [0]
+COc1ccncc1Nc1ccn2ncnc(N)c12; ['COc1ccncc1N']; ['Nc1ncnn2ccc(Br)c12']; [0.9999663829803467]
+C[C@@H](Oc1ccn2ncnc(N)c12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cc4c(=O)[nH]ccc4o3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(Nc3cnccc3-c3ccccc3)c12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccn3ncnc(N)c23)c1; [None]; [None]; [0]
+Nc1ncnn2ccc(Nc3cnc4ccccc4c3)c12; ['Nc1cnc2ccccc2c1']; ['Nc1ncnn2ccc(Br)c12']; [0.9999630451202393]
+CC(C)(C)c1ccc(-c2ccn3ncnc(N)c23)cc1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cc4c(=O)[nH]cc(Br)c4s3)c12; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccn3ncnc(N)c23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12']; [0.9999984502792358, 0.9999877214431763, 0.8924225568771362]
+Nc1ncnn2ccc(-c3ccc(N4CCOCC4)cc3)c12; [None]; [None]; [0]
+Cc1cc(-c2ccn3ncnc(N)c23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CN(c1ccn2ncnc(N)c12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-n3ccc(CO)n3)c12; ['Nc1ncnn2ccc(Br)c12']; ['OCc1cc[nH]n1']; [0.9954082369804382]
+CC1(c2ccn3ncnc(N)c23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@H](Nc1ccn2ncnc(N)c12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Nc1ncnn2ccc(-n3cnc(CCO)c3)c12; [None]; [None]; [0]
+C[C@@H](Nc1ccn2ncnc(N)c12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Nc1ncnn2ccc(Br)c12']; [0.9201229810714722]
+C[C@H](Nc1ccn2ncnc(N)c12)C(C)(C)O; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3c(F)cccc3Cl)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-n3ncc4c(O)cccc43)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-n3ncc4ccccc43)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(-n4cncn4)cc3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3nc4ccc(O)cc4[nH]3)c12; [None]; [None]; [0]
+COc1ccc(-c2ccn3ncnc(N)c23)c(OC)c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccn3ncnc(N)c23)[nH]1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccc(C(=O)c4ccccc4)cc3)c12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccn3ncnc(N)c23)CC1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3nncn3C3CC3)c12; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1nnc(-c2ccn3ncnc(N)c23)s1; ['NNC(N)=S']; ['Nc1ncnn2ccc(C(=O)O)c12']; [0.7863948345184326]
+Nc1ncnn2ccc(Cc3nnc4ccc(-c5ccccc5)nn34)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ccn(CC[NH3+])n3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(CCC(=O)NCc3ccccn3)c12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccn3ncnc(N)c23)s1; ['CNC(=O)c1ccc(Br)s1']; ['Nc1ncnn2ccc(Br)c12']; [0.9962154030799866]
+Nc1ncnn2ccc(CS(=O)(=O)NCc3ccccn3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cn(Cc4ccccc4)nn3)c12; [None]; [None]; [0]
+CCc1cc(-c2ccn3ncnc(N)c23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccn3ncnc(N)c23)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccn3ncnc(N)c23)n1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(Oc3ccc(C[NH3+])cc3F)c12; [None]; [None]; [0]
+Nc1cncc(-c2ccn3ncnc(N)c23)n1; ['Nc1cncc(Br)n1']; ['Nc1ncnn2ccc(Br)c12']; [0.9968740940093994]
+Nc1ncnn2ccc(-c3cccc4ccsc34)c12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Nc1ncnn2ccc(Br)c12']; ['Nc1ncnn2ccc(Br)c12', 'OB(O)c1cccc2ccsc12']; [1.0, 0.9999741315841675]
+CC1(C)Oc2ccc(-c3ccn4ncnc(N)c34)nc2NC1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccn4ncnc(N)c34)c2)cc1; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cccc4nnsc34)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ncc4ccccc4n3)c12; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccn3ncnc(N)c23)CC1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccn3ncnc(N)c23)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2ccn3ncnc(N)c23)nc2ccccc12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3c[nH]c4cccnc34)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cn(CCO)cn3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3ncc4cc[nH]c4n3)c12; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccn2ncnc(N)c12; [None]; [None]; [0]
+COc1ccc(Oc2ccn3ncnc(N)c23)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Nc1ncnn2ccc(Br)c12']; [0.9940469264984131]
+COc1ncccc1-c1ccn2ncnc(N)c12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1Br']; ['Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2ccc(Br)c12', 'Nc1ncnn2cccc12']; [0.9999906420707703, 0.9995554685592651, 0.9942346811294556, 0.8210105895996094]
+COc1ccc(OC)c(-c2ccn3ncnc(N)c23)c1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccn3ncnc(N)c23)CC1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccn3ncnc(N)c23)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccn3ncnc(N)c23)cnn1; [None]; [None]; [0]
+Nc1ncnn2ccc(N3CC=C(c4c[nH]c5ccccc45)CC3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(N3CCC(c4nc5ccccc5[nH]4)CC3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Nc3cccnc3)c12; [None]; [None]; [0]
+Nc1ncnn2ccc(-c3cccc(NC(=O)C4CCNCC4)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(OCC(=O)C(C)C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NCc3cccnc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NC(=O)c3cccs3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NCCc3c[nH]cn3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NCCc3ccccc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NCc3ccc(Cl)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(N3CCC(S(C)(=O)=O)CC3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NC(=O)c3c(Cl)cccc3Cl)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NCc3ccccc3F)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Nc3ccncc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3csc(N)n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Oc3ccccn3)c12; [None]; [None]; [0]
+CCN(CC)c1c[nH]c2ncnc(NC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(OCC(C)(C)S(C)(=O)=O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Nc3cnc4ccccc4c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(O[C@H](C)c3c(Cl)cncc3Cl)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Nc3cnccc3OC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Nc3cnccc3-c3ccccc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(N[C@@H](C)C(=O)NCC(F)(F)F)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Oc3ccc(C[NH3+])cc3F)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3nc(N)c4ccccc4n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(N[C@H](C)C(C)(C)O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(N[C@@H](C)C(C)(C)O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Oc3ccc(OC)c(F)c3F)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(N3CC=C(c4c[nH]c5ccccc45)CC3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(N3CCC(c4nc5ccccc5[nH]4)CC3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(NC(=O)C4CCNCC4)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(N(C)C(C)=O)cc3)c12; [None]; [None]; [0]
 CCOc1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(OC)c(OC)c(OC)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(S(C)(=O)=O)c3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3sc(C(C)(C)O)nc3C)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cccnc3OC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(S(C)(=O)=O)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(OC)c(OC)c(OC)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-n3cnc4ccc(C)cc43)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(NC(=O)C4CCNCC4)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ncc4ccccc4n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(N(C)C(C)=O)cc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(OC)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-n3cnc4ccc(C)cc43)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(N4CCOCC4)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(O)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnc4cccnn34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cccc(NC(=O)C4CC4)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(C#N)ccc3O)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3nc4ccccc4[nH]3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C(N)=O)cc3)c12; ['CNc1ncnc2[nH]ccc12']; ['NC(=O)c1ccc(Br)cc1']; [0.9981307983398438]
+CNc1ncnc2[nH]cc(Nc3ncccn3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C(=O)Nc4ccccc4)cc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(CC(=O)N4CCN(C(C)=O)CC4)cc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(Nc3cc(C)ns3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-n3ncc4ccccc4c3=O)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(NS(C)(=O)=O)nc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3nccc4ccccc34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(C(=O)[O-])cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C(N)=O)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Nc3ncccn3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cnn(Cc4cccc(C#N)c4)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C(=O)Nc4ccccc4)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Cc3nccc4ccccc34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(OCCO)cc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(CNC(C)=O)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(C4CCNCC4)c3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(C(=O)N4CCOCC4)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(C4CCNCC4)c3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(C(=O)N4CCOCC4)cn3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(Nc3ccncn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(OC[C@H](C)O)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(OC[C@@H](C)O)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc4c(c3)CS(=O)(=O)C4)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(S(=O)(=O)NC)cc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(C(F)(F)F)cc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(N(C)C)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc4c(c3)CS(=O)(=O)C4)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(OC[C@@H](C)O)cc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(S(=O)(=O)N(C)C)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Cc3ccccc3O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(OC[C@H](C)O)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3sc(C)nc3C)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(C3CCN(S(C)(=O)=O)CC3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Cc3cnc(N)nc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc([C@H]3CCN(C(=O)c4ccccc4)C3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc(C(C)C)nc(N)n3)c12; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(N4CCCN(C(C)=O)CC4)c3)c12; [None]; [None]; [0]
-CCCOc1ccc(-c2c[nH]c3ncnc(NC)c23)nc1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(C(=O)[O-])c3C)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(Br)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(N4CCCN(C(C)=O)CC4)c3)c12; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(N(C)C)c(Cl)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Cc3ccc(OC)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(S(=O)(=O)NC)cc3C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccccc3-n3cccn3)c12; [None]; [None]; [0]
+CCCOc1ccc(-c2c[nH]c3ncnc(NC)c23)nc1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccn4nccc4n3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc(Cl)ccc3OC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(Cl)c(OC)cc3OC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3nc4ccc(C(C)C)cc4[nH]3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(C(=O)[O-])c3C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3c[nH]c4ccccc34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc4c(c3)CCO4)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc4ccccc4cn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(-c4ccccc4)[nH]n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C(=O)N4CCOCC4)cc3OC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(Cl)c(OC)cc3OC)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(O)c(OC)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3nc4ccc(C(C)C)cc4[nH]3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(NC(C)=O)c3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cccc4c3OCO4)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3scc4c3OCCO4)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(-c4ccccc4)[nH]n3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(C(C)(C)C)cc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cnc4ccccc4c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C(=O)N(C)C)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C(=O)N4CCOCC4)cc3OC)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(C(C)(C)C)nc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Cc3nc4c(F)c(F)ccc4[nH]3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc([C@@H]3CC[C@@H](NC(C)=O)CC3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(OCC3(C)COC3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3scc4c3OCCO4)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(NC(=O)c3cccc(OC)c3)c12; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3c[nH]c4ncnc(NC)c34)cc2)CC1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(C)nc(N)n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(SC)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc([C@H](CO)Cc3ccccc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C(=O)N(C)C)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(SC)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc4ccccc4s3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(OCC3(C)COC3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc([C@@H]3CC[C@@H](NC(C)=O)CC3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccn(-c4cccc(Cl)c4)n3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(F)cc3Cl)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ncc(Br)cn3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(C)nc(N)n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc4c(c3)CCC(=O)N4)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(OC)c(OC)c3)c12; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3c[nH]c4ncnc(NC)c34)cc2)CC1; [None]; [None]; [0]
 CCc1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(NCc3ccc(OC)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ncc(Br)cn3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(Cl)cc3Cl)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(CCCn3cncn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(NC3CN(C(=O)C4CC4)C3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ncc4cccn4n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C(=O)N4CCC[C@@H]4C)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NCc3ccc(OC)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cn(C)nc3C(F)(F)F)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(N4CCOCC4)c(OC)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ncc4cccn4n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NC3CN(C(=O)C4CC4)C3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc4ccccn4n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cn(C)nc3C(F)(F)F)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc4c(c3)CC(C)(C)O4)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc4ccc(OC)cc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc4ccc(O)cc34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc(OC)c(OC)cc3F)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc4ccc(O)cc34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc4ccc(OC)cc34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(Cl)c(OC)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnn(CCO)c3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ncc(Cl)cn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ncnc4c(C)csc34)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Nc3nc(C)c(C)s3)c12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(Nc3cc(C)n(C)n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(N)nc4[nH]ccc34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Nc3nc(C)c(C)s3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ncnc4c(C)csc34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc(OC)c(Br)cc3OC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Cc3cc(OC)ccc3OC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NC(=O)c3ccco3)c12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2c[nH]c3ncnc(NC)c23)nc1; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(CS(C)(=O)=O)cc3OC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Cc3ccc(C(N)=O)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(N)nc4[nH]ccc34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(Cc3ccc(S(=O)(=O)CCO)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(NC(=O)c3ccco3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc([C@@H]3CC[C@@H](OC)CC3)c12; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2c[nH]c3ncnc(NC)c23)CC1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Cc3ccc(C(N)=O)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc4cc(OC)ccc4o3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc(OC)cc(OC)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cn(C)c4ccc(OC)cc34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc4cn[nH]c4c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc4cc(OC)ccc4o3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(NC(=O)c3ccc(C(C)(C)C)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C[NH+](C)C)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc([C@@H]3CC[C@@H](OC)CC3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cn(C)c4ccc(OC)cc34)c12; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2c[nH]c3ncnc(NC)c23)CC1; [None]; [None]; [0]
 CCn1cc(-c2c[nH]c3ncnc(NC)c23)cn1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc4ccccc4o3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C[NH+](C)C)cc3)c12; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2c[nH]c3ncnc(NC)c23)c1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cn(C)nc3C(C)C)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc(-c4cccnc4)ccn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc4ccccc4o3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc(Br)cn3C)c12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cn(C)nc3C(C)C)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ncc4sccc4n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(C(=O)N4CCC[C@@H]4C)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cccc(NC(=O)N4CCCC4)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(NC(=O)c3cc(OC)ccc3F)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3nc4ccc(OC)cc4[nH]3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(OC(F)(F)F)cc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(NC(=O)c3cc(OC)ccc3F)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc4ccc(C(C)(C)O)cc4[nH]3)c12; [None]; [None]; [0]
-CCc1cccc(-c2c[nH]c3ncnc(NC)c23)n1; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ncn4c3CCCC4)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(NC(=O)N4CCCC4)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc4c(cnn4C)c3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc(C)c(OCCO)c(C)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc4c(c3)c(Cl)nn4C)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(N(C)C)nc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cn(C)c4ccccc34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc4ccc(C(C)(C)O)cc4[nH]3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc4c(C)n[nH]c4c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cnn(C4CCN(C(C)=O)CC4)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(N(C)C)nc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc4c(c3)c(Cl)nn4C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ncn4c3CCCC4)c12; [None]; [None]; [0]
+CCc1cccc(-c2c[nH]c3ncnc(NC)c23)n1; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cccc(N4CCCC4=O)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(CCO)cc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(NC(=O)c3cccc(OC(F)(F)F)c3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(C(=O)N(C)C)cc3Cl)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3ccc(-c4cnc(C)n4C)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnn(C4CCN(C(C)=O)CC4)c3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(-c4cnn(C)c4)cc3OC)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(N4CCOCC4)cc3C)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(S(C)(=O)=O)cc3OC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(-c4cnc(C)n4C)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(CCO)cc3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3ccc(N4CCNCC4)cc3OC)c12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(Nc3cc(C)c(F)cn3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C(=O)N(C)C)cn3)c12; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2c[nH]c3ncnc(NC)c23)c(OC)c1; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc(C(C)(C)O)n(C)n3)c12; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(S(C)(=O)=O)ccc3Cl)c12; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(Nc3ccc(F)cn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Nc3cc(C)c(F)cn3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(Nc3ccccn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3cc(S(C)(=O)=O)ccc3Cl)c12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2c[nH]c3ncnc(NC)c23)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1c[nH]c2ncnc(NC)c12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1c[nH]c2ncnc(NC)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(-c3cc(C(=O)NCCO)ccc3C)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(CCC(C)(C)OC)c12; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2c[nH]c3ncnc(NC)c23)c1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccccc3S(=O)(=O)C(C)C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccccc3-c3nnc(C)[nH]3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(Cc3cc(F)cc(F)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc([C@H](C)c3cc(F)ccc3OC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(OCC(=O)C(C)C)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc([C@@H](N)c3ccco3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(NCc3cccnc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Nc3cccnc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(NCCc3c[nH]cn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Cc3ncc(C(C)(C)C)o3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(NC(=O)c3cccs3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(NCCc3ccccc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(CCC(C)(C)OC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(C(F)(F)F)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccccc3OC(F)(F)F)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnn(Cc4ccccc4)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccccc3C(N)=O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccnc4ccccc34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccccc3P(C)(C)=O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc4ncn(C)c(=O)c4c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnc(-c4ccccc4)[nH]3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(NC(=O)c4ccccc4)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(Cl)ccc3Cl)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccccc3C(=O)[O-])c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C)cc3Br)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3csc(C(C)(C)C)n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ncc(OC)cn3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-n3ncc4cccc(F)c4c3=O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(Br)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3c(C)nc4ccccn34)c12; [None]; [None]; [0]
+CNc1nc(C)c(-c2c[nH]c3ncnc(NC)c23)s1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3c(Cl)cccc3Cl)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3sc(N)nc3C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(C)ccc3Cl)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnc4ccccn34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc4ccccc4c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(Cn4cncn4)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccnc(N)n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3sc(=O)n(C)c3C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3c[nH]nc3C(F)(F)F)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-n3cnc4ccccc43)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(CC(=O)[O-])c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnn4ncccc34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cncc4ccccc34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(F)c3C(N)=O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(-c4cnn(C)c4)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc4c(N)[nH]nc4c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc4c(c3)CS(=O)(=O)N4C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(-c4cn[nH]c4)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cn(C(C)C)nn3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C(=O)[O-])c(OC)c3)c12; [None]; [None]; [0]
+CCCn1cnc(-c2c[nH]c3ncnc(NC)c23)n1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(CO)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnoc3C(C)C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3c[nH]c(SC)n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3csc4ncncc34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(CCc3c[nH]nn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Nc3ccncc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc4ccccc4[nH]3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(CCC#N)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(F)cc3C(F)(F)F)c12; [None]; [None]; [0]
+CCNc1nc2ccc(-c3c[nH]c4ncnc(NC)c34)cc2s1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnn4ccccc34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cncnc3N)c12; [None]; [None]; [0]
+CCCn1cc(-c2c[nH]c3ncnc(NC)c23)cn1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(OC)c(Cl)c3)c12; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2c[nH]c3ncnc(NC)c23)cc1; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(CCNC(=O)CC(C)(C)O)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(NC(=O)c3c(Cl)cccc3Cl)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(N3CCC(S(C)(=O)=O)CC3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(OCC(C)(C)S(C)(=O)=O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(CCCC(N)=O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc([S@](C)=O)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc[nH]c(=O)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc4c3C(=O)CC4)c12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1c[nH]c2ncnc(NC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3c(F)cccc3OC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cncc(OC(C)C)c3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(CCc3cc(OC)cc(OC)c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(O[C@H](C)c3c(Cl)cncc3Cl)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Nc3cnccc3OC)c12; [None]; [None]; [0]
-CCN(CC)c1c[nH]c2ncnc(NC)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Nc3cnccc3-c3ccccc3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Nc3cnc4ccccc4c3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(N[C@@H](C)C(=O)NCC(F)(F)F)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(N[C@@H](C)C(C)(C)O)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(N[C@H](C)C(C)(C)O)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C(C)(C)N)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc4c(=O)[nH]ccc4o3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc4c(=O)[nH]cc(Br)c4s3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnc4[nH]ccc4c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3c[nH]c4cnccc34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(S(C)(=O)=O)cc3)c12; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1c[nH]c2ncnc(NC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(C3(C)CCN(S(C)(=O)=O)CC3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(C)nn3-c3cccc(Cl)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-n3ccc(CO)n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3c(F)cccc3Cl)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(OC)cc3OC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-n3cnc(CCO)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3nc4ccc(O)cc4[nH]3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-n3ncc4ccccc43)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(-n4cncn4)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-n3ncc4c(O)cccc43)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3[nH]c(SC)nc3C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc(C(=O)c4ccccc4)cc3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3nncn3C(C)C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccn(CC[NH3+])n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3nncn3C3CC3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(Cc3nnc4ccc(-c5ccccc5)nn34)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(CCC(=O)NCc3ccccn3)c12; [None]; [None]; [0]
 CNc1ncnc2[nH]cc(CS(=O)(=O)NCc3ccccn3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Oc3ccc(C[NH3+])cc3F)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(-c3nc(N)c4ccccc4n3)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Cc3ccccc3NS(C)(=O)=O)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(Oc3ccc(OC)c(F)c3F)c12; [None]; [None]; [0]
-CNc1ncnc2[nH]cc(N3CC=C(c4c[nH]c5ccccc45)CC3)c12; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cnn2cccnc12; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3cnn4cccnc34)cn2)c1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3nnc(N)s3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cn(Cc4ccccc4)nn3)c12; [None]; [None]; [0]
+CCc1cc(-c2c[nH]c3ncnc(NC)c23)nc(N)n1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(C(N)=O)cn3C)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(C(C)(C)O)n3)c12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c[nH]c3ncnc(NC)c23)s1; [None]; [None]; [0]
+CCCCc1cc(-c2c[nH]c3ncnc(NC)c23)nc(N)n1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cncc(N)n3)c12; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2c[nH]c3ncnc(NC)c23)CC1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3nc4ccccc4s3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc4ccsc34)c12; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3c[nH]c4ncnc(NC)c34)c2)cc1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnc(NC(C)=O)[nH]3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc4nnsc34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3c[nH]c4cccnc34)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3ncc4cc[nH]c4n3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(C#N)ccc3OC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cn(CCO)cn3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cc(OC)ccc3OC)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc([C@H]3CC[C@@](C)(O)CC3)c12; [None]; [None]; [0]
+c1ccc2nc(-c3cnn4cccnc34)ncc2c1; ['Brc1ncc2ccccc2n1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1', 'Ic1cnn2cccnc12']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1ncc2ccccc2n1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1ccc2ncncc2c1']; [0.9999996423721313, 0.9999951720237732, 0.999967098236084, 0.9999052286148071, 0.976047158241272]
+CC(=O)N(C)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccccc1', 'Brc1cnn2cccnc12']; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Ic1cnn2cccnc12', 'CC(=O)N(C)c1ccccc1']; [0.9999995231628418, 0.9999990463256836, 0.9999921321868896, 0.9995014667510986, 0.9938414096832275, 0.987248420715332, 0.9779316782951355]
+CS(=O)(=O)c1cccc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'Ic1cnn2cccnc12', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'CS(=O)(=O)c1ccccc1']; [1.0, 1.0, 1.0, 0.999998152256012, 0.9999964833259583, 0.9999964237213135, 0.9999865293502808, 0.9999328851699829, 0.9997052550315857, 0.9855259656906128]
+COc1ncccc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnn2cccnc12', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'COc1ncccc1Cl', 'COc1ncccc1Br', 'COc1ncccc1Br', 'COc1ncccc1I']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'COc1ncccc1I', 'Ic1cnn2cccnc12', 'COc1ncccc1B(O)O', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Ic1cnn2cccnc12']; [0.9999959468841553, 0.9999908208847046, 0.999985933303833, 0.9999446868896484, 0.9997325539588928, 0.9996819496154785, 0.9991973042488098, 0.9984639883041382, 0.9980958700180054, 0.9959602355957031, 0.9564815759658813]
+CCOc1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cccc(S(=O)(=O)N(C)C)c3)c12; [None]; [None]; [0]
+CNc1ncnc2[nH]cc(-c3cnnc(N(C)C)c3)c12; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12', 'Cc1csc(C(C)(C)O)n1']; ['Cc1csc(C(C)(C)O)n1', 'Ic1cnn2cccnc12']; [0.9999743700027466, 0.9988864660263062]
+Cc1ccc2ncn(-c3cnn4cccnc34)c2c1; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Cc1ccc2nc[nH]c2c1']; ['OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1', 'OB(O)c1cnn2cccnc12']; [0.9959096908569336, 0.9935457706451416, 0.9933476448059082, 0.9925127029418945, 0.9911686778068542, 0.9787462949752808]
+c1cnn2c(-c3cnn4cccnc34)cnc2c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9999915361404419, 0.9999904632568359, 0.9999740123748779, 0.9998375177383423]
+COc1cc(-c2cnn3cccnc23)cc(OC)c1OC; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'COC(CC(OC)OC)OC', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'Brc1cnn2cccnc12', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'Brc1cnn2cccnc12', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'Brc1cnn2cccnc12', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['COc1cc(Br)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(-c2c[nH]nc2N)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Ic1cnn2cccnc12', 'COc1cc(B(O)O)cc(OC)c1OC', 'Ic1cnn2cccnc12', 'Ic1cnn2cccnc12', 'COc1cc(I)cc(OC)c1OC', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'COc1cc(Br)cc(OC)c1OC', 'c1cnc2ccnn2c1', 'O=C(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'COc1cc([Mg]Br)cc(OC)c1OC', 'COc1cccc(OC)c1OC']; [0.9999997615814209, 0.9999997019767761, 0.9999995231628418, 0.999999463558197, 0.9999991655349731, 0.9999969005584717, 0.9999821186065674, 0.9999799728393555, 0.9999785423278809, 0.9999749660491943, 0.9999731183052063, 0.9998960494995117, 0.9998133182525635, 0.9988460540771484, 0.9987227320671082, 0.9941321611404419, 0.9935621619224548, 0.9266223311424255]
+Cc1cc(Nc2cnn3cccnc23)sn1; ['Brc1cnn2cccnc12']; ['Cc1cc(N)sn1']; [0.9999220371246338]
+O=C(Nc1cccc(-c2cnn3cccnc23)c1)C1CC1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'O=C(Nc1cccc(Br)c1)C1CC1', 'Brc1cnn2cccnc12']; ['O=C(Nc1cccc(Br)c1)C1CC1', 'OB(O)c1cnn2cccnc12', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.9999998807907104, 0.9999359846115112, 0.999921977519989]
+COc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COC(CC(OC)OC)OC', 'COc1ccc(Br)cc1', 'COc1ccc(Cl)cc1', 'Brc1cnn2cccnc12', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'Brc1cnn2cccnc12', 'COc1ccccc1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnn2cccnc12', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B(O)O)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'COc1ccc(-c2cn[nH]c2N)cc1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'COc1ccc(Br)cc1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'COc1ccccc1', 'Ic1cnn2cccnc12']; [1.0, 0.9999997019767761, 0.9999994039535522, 0.9999990463256836, 0.9999979734420776, 0.9999973773956299, 0.9999951124191284, 0.9999914169311523, 0.9999762773513794, 0.9999635219573975, 0.9999136924743652, 0.9997530579566956, 0.9995980858802795, 0.9994436502456665, 0.999293327331543, 0.999269962310791, 0.9988747835159302, 0.994691014289856, 0.99139404296875]
+O=C([O-])c1ccc(-c2cnn3cccnc23)cc1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C']; ['O=C([O-])c1ccc(Cl)cc1']; [0.9910732507705688]
+c1cnc2c(-c3ccc(N4CCOCC4)cc3)cnn2c1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'O=C(ON1CCOCC1)c1ccccc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1ccc(-c2cnn3cccnc23)cc1']; [1.0, 1.0, 0.9999996423721313, 0.9999994039535522, 0.9999994039535522, 0.9999990463256836, 0.9999983310699463, 0.9999979734420776, 0.9999911785125732, 0.999981164932251, 0.9999557137489319, 0.9998077750205994, 0.9997596740722656, 0.9994152784347534]
+N#Cc1ccc(O)c(-c2cnn3cccnc23)c1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cnn4cccnc34)nc2c1; ['Brc1nc2ccccc2[nH]1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Ic1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'CCOC(=O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1nc2ccccc2[nH]1', 'O=Cc1cnn2cccnc12', 'O=C(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Nc1ccccc1N', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9999816417694092, 0.9999661445617676, 0.9996601343154907, 0.9994544982910156, 0.9987376928329468, 0.9984973669052124, 0.99798583984375, 0.9956226348876953, 0.9839001893997192, 0.9747745990753174, 0.9035782217979431]
+Oc1cccc(-c2cnn3cccnc23)c1; [None]; [None]; [0]
+c1cnc(Nc2cnn3cccnc23)nc1; ['Clc1ncccn1', 'Brc1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Fc1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1']; ['Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12']; [0.9983847141265869, 0.9973337650299072, 0.9963403344154358, 0.9914173483848572, 0.9828224778175354, 0.9826326370239258, 0.978776216506958, 0.9737626910209656, 0.8610852956771851]
+NC(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Ic1cnn2cccnc12', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12']; [1.0, 0.9999996423721313, 0.9999991655349731, 0.9999986886978149, 0.9999918937683105, 0.9999892711639404, 0.9999775886535645, 0.999923586845398, 0.9990679025650024, 0.996609091758728, 0.9960411787033081, 0.9909488558769226]
+c1ccc2c(-c3cnn4cccnc34)nccc2c1; ['Brc1nccc2ccccc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1nccc2ccccc12', 'Brc1cnn2cccnc12', 'Brc1nccc2ccccc12', 'Clc1nccc2ccccc12', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1nccc2ccccc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1nccc2ccccc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Clc1nccc2ccccc12', 'Brc1nccc2ccccc12', 'c1ccc2cnccc2c1', 'c1ccc2cnccc2c1']; [0.9999905824661255, 0.999978244304657, 0.9999517202377319, 0.9998133182525635, 0.9997211694717407, 0.9995253086090088, 0.9987913370132446, 0.9943228960037231, 0.9451733827590942, 0.7527765035629272]
+O=C(Nc1ccccc1)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'Brc1cnn2cccnc12', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Ic1cnn2cccnc12', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1', 'OB(O)c1cnn2cccnc12', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'OB(O)c1cnn2cccnc12']; [1.0, 0.9999998807907104, 0.9999990463256836, 0.9999825954437256, 0.9999797344207764, 0.9999667406082153, 0.9993435144424438, 0.9983698129653931, 0.9916453957557678]
+CC(=O)NCc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnn2cccnc12', 'CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnn2cccnc12', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [0.9999997615814209, 0.9999991655349731, 0.999995231628418, 0.9999946355819702, 0.9999542236328125, 0.9997167587280273]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnn4cccnc34)cc2)CC1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3cnn4cccnc34)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(-c2cnn3cccnc23)nc(N)n1; [None]; [None]; [0]
+c1cc(-c2cnn3cccnc23)cc(C2CCNCC2)c1; ['CC(C)(C)OC(=O)N1CCC(c2cccc(Br)c2)CC1', 'Brc1cccc(C2CCNCC2)c1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cccc(C2CCNCC2)c1', 'Clc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1']; ['OB(O)c1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1cccc(C2CCNCC2)c1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12']; [0.9999989867210388, 0.9999966025352478, 0.9999797344207764, 0.9971519708633423, 0.993531346321106, 0.972366452217102]
+OCCOc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OCCOc1ccc(Br)cc1', 'OB(O)c1cnn2cccnc12']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Ic1cnn2cccnc12', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(Cl)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(Br)cc1', 'c1cnc2ccnn2c1', 'OCCOc1ccc(Cl)cc1']; [1.0, 0.9999998807907104, 0.9999996423721313, 0.9999994039535522, 0.9999936819076538, 0.9999932050704956, 0.9999834299087524, 0.9999788999557495, 0.9998763203620911, 0.9995030164718628, 0.9993939399719238, 0.9993422031402588]
+c1cnc2c(Nc3ccncn3)cnn2c1; ['Clc1ccncn1', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Fc1ccncn1', 'Brc1ccncn1']; ['Nc1cnn2cccnc12', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12']; [0.9992620944976807, 0.9990476369857788, 0.9973691701889038, 0.9938297271728516, 0.9786636233329773]
+N#Cc1cccc(Cn2cc(-c3cnn4cccnc34)cn2)c1; [None]; [None]; [0]
+O=C(c1ccc(-c2cnn3cccnc23)nc1)N1CCOCC1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'OB(O)c1cnn2cccnc12']; [1.0, 1.0]
+O=C(c1ccc(-c2cnn3cccnc23)cc1)N1CCOCC1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'Brc1cnn2cccnc12', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Ic1cnn2cccnc12', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccccc1)N1CCOCC1']; [1.0, 1.0, 0.9999997615814209, 0.9999997615814209, 0.9999992847442627, 0.9999983310699463, 0.999997615814209, 0.9999963045120239, 0.9999253749847412, 0.999915361404419, 0.9999090433120728, 0.9997192621231079, 0.9995538592338562, 0.9992419481277466, 0.9747365713119507]
+CNS(=O)(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'Brc1cnn2cccnc12', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Brc1cnn2cccnc12', 'CNS(=O)(=O)c1ccccc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnn2cccnc12', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1cnn2cccnc12', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CNS(=O)(=O)c1ccc(Br)cc1', 'c1cnc2ccnn2c1', 'CNS(=O)(=O)c1ccccc1', 'Ic1cnn2cccnc12']; [1.0, 1.0, 0.9999986886978149, 0.9999972581863403, 0.9999947547912598, 0.9999869465827942, 0.9998921155929565, 0.999671220779419, 0.9974656105041504, 0.9928242564201355, 0.9405035376548767, 0.8928995132446289]
+O=S1(=O)Cc2ccc(-c3cnn4cccnc34)cc2C1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Brc1cnn2cccnc12', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'O=C(O)c1cnn2cccnc12']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'OB(O)c1cnn2cccnc12', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'c1cnc2ccnn2c1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999998211860657, 0.9999867677688599, 0.9998471736907959, 0.9992965459823608, 0.9982343912124634]
+Cc1nc(C)c(-c2cnn3cccnc23)s1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1nc(C)c(Br)s1', 'Brc1cnn2cccnc12', 'Cc1csc(C)n1']; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(Br)s1', 'OB(O)c1cnn2cccnc12', 'Cc1csc(C)n1', 'Ic1cnn2cccnc12']; [1.0, 0.9999991655349731, 0.9999613761901855, 0.9989389181137085, 0.9974642992019653]
+FC(F)(F)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'Brc1cnn2cccnc12', 'O=S(=O)(Oc1ccc(C(F)(F)F)cc1)C(F)(F)F', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccccc1', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Ic1cnn2cccnc12', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(I)cc1', 'CC1(C)COB(c2ccc(C(F)(F)F)cc2)OC1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'FC(F)(F)c1ccc(I)cc1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'FC(F)(F)c1ccc(Br)cc1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'O=C(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'FC(F)(F)c1ccccc1']; [1.0, 1.0, 1.0, 0.9999998211860657, 0.9999997615814209, 0.9999995231628418, 0.9999991655349731, 0.9999990463256836, 0.9999974966049194, 0.9999961853027344, 0.99994957447052, 0.9998717308044434, 0.9998476505279541, 0.9996174573898315, 0.9995824694633484, 0.9995240569114685, 0.9991129040718079, 0.9988580942153931, 0.9887429475784302, 0.986417293548584]
+C[C@H](O)COc1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cnn3cccnc23)cc1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1', 'Brc1cnn2cccnc12', 'CCN', 'CCNS(=O)(=O)c1ccccc1']; ['CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'c1ccc(-c2cnn3cccnc23)cc1', 'Ic1cnn2cccnc12']; [0.9999997615814209, 0.9999967813491821, 0.9999951124191284, 0.9999945163726807, 0.999935507774353, 0.9998964667320251, 0.9998320937156677, 0.9996248483657837, 0.9957345724105835, 0.993492603302002]
+CC(C)c1cc(-c2cnn3cccnc23)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1cc(Cl)nc(N)n1']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1cnn2cccnc12']; [0.999992847442627, 0.999933123588562]
+CS(=O)(=O)N1CCC(c2cnn3cccnc23)CC1; [None]; [None]; [0]
+CCCOc1ccc(-c2cnn3cccnc23)nc1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CCCOc1ccc(Br)nc1', 'Brc1cnn2cccnc12']; ['CCCOc1ccc(Br)nc1', 'OB(O)c1cnn2cccnc12', 'CCCOc1ccc(Br)nc1']; [0.999997615814209, 0.9999972581863403, 0.9999110698699951]
+CCN(CC)C(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Brc1cnn2cccnc12', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'Brc1cnn2cccnc12', 'CCN(CC)C(=O)c1ccccc1']; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Ic1cnn2cccnc12', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'CCN(CC)C(=O)c1ccccc1', 'Ic1cnn2cccnc12']; [1.0, 1.0, 1.0, 1.0, 0.9999984502792358, 0.9999978542327881, 0.999994158744812, 0.9999791383743286, 0.9999571442604065, 0.9999369382858276, 0.9998682737350464, 0.9916003346443176, 0.9649560451507568]
+CN(C)c1ccc(-c2cnn3cccnc23)cc1Cl; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl', 'Brc1cnn2cccnc12', 'CN(C)c1ccccc1Cl']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'CN(C)c1ccccc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'CN(C)c1ccccc1Cl', 'Ic1cnn2cccnc12']; [1.0, 1.0, 1.0, 0.9999998807907104, 0.999995768070221, 0.9999929666519165, 0.9999910593032837, 0.999920129776001, 0.999888002872467, 0.9890733957290649, 0.9809761047363281, 0.9448867440223694]
+O=C(c1ccccc1)N1CC[C@H](c2cnn3cccnc23)C1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cnn4cccnc34)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cnn3cccnc23)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cnn4cccnc34)[nH]c2c1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cnn2cccnc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn3cccnc23)c(C)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'Brc1cnn2cccnc12', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'Brc1cnn2cccnc12']; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'Ic1cnn2cccnc12', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; [0.9999995231628418, 0.9999980926513672, 0.9999799728393555, 0.9999769926071167, 0.999962329864502, 0.9999397993087769, 0.9983406066894531]
+c1cnc2c(-c3ccn4nccc4n3)cnn2c1; ['Ic1ccn2nccc2n1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1ccn2nccc2n1', 'Brc1ccn2nccc2n1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1ccn2nccc2n1']; ['OB(O)c1cnn2cccnc12', 'Ic1ccn2nccc2n1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1cnn2cccnc12', 'Clc1ccn2nccc2n1', 'OB(O)c1cnn2cccnc12']; [0.9999992847442627, 0.9999980926513672, 0.9999939203262329, 0.9999853372573853, 0.999984622001648, 0.9999632835388184]
+c1ccc(-n2cccn2)c(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12', 'Brc1ccccc1-n1cccn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1ccccc1-n1cccn1', 'Brc1cnn2cccnc12', 'Brc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1', 'Ic1cnn2cccnc12', 'Clc1ccccc1-n1cccn1', 'Brc1cnn2cccnc12', 'OB(O)c1ccccc1-n1cccn1']; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'Clc1ccccc1-n1cccn1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1ccccc1-n1cccn1', 'c1cnc2ccnn2c1', 'Brc1cnn2cccnc12', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1cnn2cccnc12', 'c1ccc(-n2cccn2)cc1', 'c1cnc2ccnn2c1']; [1.0, 1.0, 0.9999986886978149, 0.9999971389770508, 0.9999935626983643, 0.9999877214431763, 0.9999661445617676, 0.9999661445617676, 0.9999563097953796, 0.9998002648353577, 0.9994919300079346, 0.9990127682685852]
+COc1ccc(Cl)cc1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1Br', 'Brc1cnn2cccnc12', 'COc1ccc(Cl)cc1I', 'Brc1cnn2cccnc12', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I']; ['COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1I', 'Ic1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'COc1ccc(Cl)cc1[Mg]Br', 'c1cnc2ccnn2c1', 'COc1ccc(Cl)cc1Br', 'OB(O)c1cnn2cccnc12', 'O=C(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12']; [0.9999959468841553, 0.999995231628418, 0.9999947547912598, 0.9999816417694092, 0.9999703764915466, 0.9999674558639526, 0.9999352693557739, 0.9999254941940308, 0.9999057650566101, 0.9998537302017212, 0.9998317956924438, 0.9990084171295166, 0.9982551336288452, 0.9965050220489502, 0.9953782558441162, 0.9948992729187012, 0.9944013357162476, 0.9672329425811768]
+c1ccc2c(-c3cnn4cccnc34)c[nH]c2c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Clc1c[nH]c2ccccc12']; ['Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1cnn2cccnc12']; [0.9999922513961792, 0.9999878406524658, 0.9999599456787109, 0.9999364614486694, 0.9998272061347961, 0.9991888999938965, 0.9970260858535767, 0.9954972267150879, 0.9873923659324646]
+CC(C)c1ccc2nc(-c3cnn4cccnc34)[nH]c2c1; ['CC(C)c1ccc(N)c([N+](=O)[O-])c1']; ['O=Cc1cnn2cccnc12']; [0.9999985098838806]
+c1ccc(-c2cc(-c3cnn4cccnc34)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'Brc1cnn2cccnc12', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1', 'Brc1cnn2cccnc12', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC(=O)Nc1cccc(B(O)O)c1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CC(=O)Nc1cccc(Br)c1', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1']; [0.9999997615814209, 0.9999992251396179, 0.9999985098838806, 0.9999970197677612, 0.9999948740005493, 0.999966561794281, 0.9999324083328247, 0.9999023079872131, 0.9997661709785461, 0.999690055847168, 0.9981623888015747]
+COc1cc(OC)c(-c2cnn3cccnc23)cc1Cl; [None]; [None]; [0]
+c1cnc2c(-c3ccc4c(c3)CCO4)cnn2c1; [None]; [None]; [0]
+c1cnc2c(-c3scc4c3OCCO4)cnn2c1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2scc3c2OCCO3)OC1(C)C', 'c1scc2c1OCCO2']; [0.9999995231628418, 0.9999727010726929]
+c1cc2c(c(-c3cnn4cccnc34)c1)OCO2; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'Ic1cnn2cccnc12', 'Brc1cccc2c1OCO2', 'Ic1cccc2c1OCO2']; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cccc2c1OCO2', 'c1cnc2ccnn2c1', 'Ic1cnn2cccnc12']; [0.9999992847442627, 0.9999964237213135, 0.9999938011169434, 0.999990701675415, 0.999971866607666, 0.9999400973320007, 0.9999319314956665, 0.999775767326355, 0.998969316482544, 0.9956396222114563]
+CC(C)(C)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'Brc1cnn2cccnc12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'Brc1cnn2cccnc12', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'Brc1cnn2cccnc12', 'CC(C)(C)c1ccccc1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CC(C)(C)c1ccc(Br)cc1', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'CC(C)(C)c1ccccc1', 'Ic1cnn2cccnc12']; [1.0, 1.0, 1.0, 0.9999997615814209, 0.9999986886978149, 0.9999986290931702, 0.999995231628418, 0.9999935030937195, 0.9999650120735168, 0.9999477863311768, 0.9998189210891724, 0.9995812177658081, 0.9995222687721252, 0.9986754655838013, 0.9808249473571777, 0.963684618473053]
+COc1cc(-c2cnn3cccnc23)ccc1O; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'Brc1cnn2cccnc12', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'Brc1cnn2cccnc12', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(I)ccc1O']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'Ic1cnn2cccnc12', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'COc1cc(I)ccc1O', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'COc1cc(Br)ccc1O', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1']; [0.9999993443489075, 0.9999983906745911, 0.999997615814209, 0.9999905824661255, 0.9999508857727051, 0.9999323487281799, 0.9998538494110107, 0.9998104572296143, 0.9997186064720154, 0.9993200898170471, 0.9991425275802612, 0.9977525472640991, 0.9973556995391846, 0.9908421635627747, 0.9669904708862305, 0.9614430665969849]
+CN(C)C(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'Brc1cnn2cccnc12', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1', 'CN(C)C(=O)c1ccccc1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12']; [1.0, 1.0, 1.0, 0.9999980330467224, 0.9999973177909851, 0.9999948740005493, 0.999972939491272, 0.9999293088912964, 0.9998595714569092, 0.8829233646392822]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cnn4cccnc34)nc2c1F; [None]; [None]; [0]
+c1ccc2ncc(-c3cnn4cccnc34)cc2c1; ['Brc1cnn2cccnc12', 'Brc1cnc2ccccc2c1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnc2ccccc2c1', 'Ic1cnn2cccnc12', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnc2ccccc2c1', 'Ic1cnn2cccnc12', 'Clc1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Brc1cnn2cccnc12']; [0.9999995231628418, 0.999999463558197, 0.9999986886978149, 0.9999974966049194, 0.9999971389770508, 0.9999890327453613, 0.9999388456344604, 0.9999322891235352, 0.9997138977050781, 0.9996246099472046, 0.9996023178100586, 0.9995276927947998]
+CC(C)(C)c1ccc(-c2cnn3cccnc23)cn1; ['Brc1cnn2cccnc12', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1cnn2cccnc12', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'Brc1cnn2cccnc12', 'CC(C)(C)c1ccccn1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'CC(C)(C)c1ccc(Br)cn1', 'OB(O)c1cnn2cccnc12']; [1.0, 0.9999997615814209, 0.9999997615814209, 0.9999978542327881, 0.9999858140945435, 0.9999642372131348, 0.9999629259109497, 0.9997608661651611, 0.9995741844177246, 0.9975053071975708]
+COc1cccc(C(=O)Nc2cnn3cccnc23)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COc1cccc(C(=O)Cl)c1', 'COC(=O)c1cccc(OC)c1', 'CCOC(=O)c1cccc(OC)c1', 'Brc1cnn2cccnc12', 'COc1cccc(C(N)=O)c1', 'COc1cccc(C(N)=O)c1', 'COc1cccc(C(N)=O)c1']; ['Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'O=[N+]([O-])c1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'COc1cccc(C(N)=O)c1', 'Nc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'O=[N+]([O-])c1cnn2cccnc12']; [0.9999445676803589, 0.999583899974823, 0.9994633197784424, 0.9994373917579651, 0.9989241361618042, 0.9988536834716797, 0.9969950914382935, 0.9959956407546997, 0.9847280979156494]
+Nc1nc(-c2cnn3cccnc23)cs1; [None]; [None]; [0]
+CC1(COc2cnn3cccnc23)COC1; ['Brc1cnn2cccnc12', 'CC1(CO)COC1', 'CC1(CO)COC1']; ['CC1(CO)COC1', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1']; [0.9985703825950623, 0.9971622228622437, 0.9132779836654663]
+Clc1cccc(-n2ccc(-c3cnn4cccnc34)n2)c1; ['Brc1cnn2cccnc12']; ['Clc1cccc(-n2cccn2)c1']; [0.999677300453186]
+c1ccc2sc(-c3cnn4cccnc34)cc2c1; ['Brc1cc2ccccc2s1', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'Ic1cnn2cccnc12', 'Brc1cc2ccccc2s1', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'OB(O)c1cc2ccccc2s1', 'Ic1cc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1', 'Ic1cnn2cccnc12', 'OB(O)c1cc2ccccc2s1', 'OB(O)c1cnn2cccnc12', 'c1ccc2sccc2c1']; [1.0, 0.9999996423721313, 0.9999995231628418, 0.9999992847442627, 0.9999974966049194, 0.9999974966049194, 0.9999958276748657, 0.9999842643737793, 0.999970555305481]
+CSc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(Cl)cc1', 'Brc1cnn2cccnc12', 'CSc1ccc(Br)cc1', 'CSc1ccc(I)cc1', 'CSc1ccccc1', 'Brc1cnn2cccnc12']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnn2cccnc12', 'CSc1ccc(Br)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Cl)cc1', 'CSc1ccc(I)cc1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CSc1ccc(Br)cc1', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'Ic1cnn2cccnc12', 'CSc1ccccc1']; [1.0, 0.9999997615814209, 0.9999970197677612, 0.9999953508377075, 0.9999867677688599, 0.9999833703041077, 0.9999130964279175, 0.9999112486839294, 0.9998619556427002, 0.9998122453689575, 0.9993546009063721, 0.9978316426277161, 0.9975504875183105, 0.9962104558944702, 0.9940556287765503, 0.9295870065689087, 0.8556691408157349]
+Cc1cc(-c2cnn3cccnc23)nc(N)n1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1cc(Br)nc(N)n1', 'Cc1cc(Cl)nc(N)n1', 'Brc1cnn2cccnc12']; ['Cc1cc(Br)nc(N)n1', 'Cc1cc(Cl)nc(N)n1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Cc1cc(Br)nc(N)n1']; [0.999996542930603, 0.9999940395355225, 0.9999668598175049, 0.9999449849128723, 0.9995015263557434]
+CC(=O)N[C@@H]1CC[C@@H](c2cnn3cccnc23)CC1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cnn4cccnc34)cc2)CC1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'Brc1cnn2cccnc12', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'Brc1cnn2cccnc12']; ['CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'Ic1cnn2cccnc12', 'CCN1CCN(Cc2ccc([Zn]Br)cc2)CC1', 'OB(O)c1cnn2cccnc12', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; [0.9999977350234985, 0.9999933242797852, 0.9999783635139465, 0.9997806549072266, 0.9997634887695312, 0.9986260533332825]
+Fc1ccc(-c2cnn3cccnc23)c(Cl)c1; ['COC(CC(OC)OC)OC', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'Brc1cnn2cccnc12', 'Fc1ccc(I)c(Cl)c1', 'Brc1cnn2cccnc12', 'Fc1ccc(I)c(Cl)c1', 'Fc1cccc(Cl)c1', 'Brc1cnn2cccnc12', 'Fc1ccc(I)c(Cl)c1', 'Fc1cccc(Cl)c1']; ['Nc1n[nH]cc1-c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Fc1ccc([Mg]Br)c(Cl)c1', 'OB(O)c1cnn2cccnc12', 'Fc1ccc(I)c(Cl)c1', 'c1cnc2ccnn2c1', 'Ic1cnn2cccnc12', 'Fc1cccc(Cl)c1', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1']; [1.0, 1.0, 0.9999995231628418, 0.9999992251396179, 0.9999972581863403, 0.9999966621398926, 0.9999964237213135, 0.9999912977218628, 0.9999768733978271, 0.9999648332595825, 0.9999548196792603, 0.9999164938926697, 0.9996007680892944, 0.9987390637397766, 0.9987291097640991, 0.9974744319915771, 0.9915692210197449]
+Brc1cnc(-c2cnn3cccnc23)nc1; ['Brc1cnc(I)nc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CSc1ncc(Br)cn1', 'Brc1cncnc1', 'Brc1cncnc1']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1ncc(Br)cn1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12']; [0.9999994039535522, 0.999995768070221, 0.9999904632568359, 0.9999625086784363, 0.9999315738677979, 0.9993174076080322, 0.9832873344421387, 0.8127350807189941, 0.8064811825752258]
 O=C(C1CC1)N1CC(Nc2cnn3cccnc23)C1; [None]; [None]; [0]
-Nc1cc(-c2cnn3cccnc23)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(CNc2cnn3cccnc23)cc1; ['COc1ccc(CBr)cc1', 'COc1ccc(CO)cc1', 'Brc1cnn2cccnc12', 'COc1ccc(CN)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(C(OC)OC)cc1']; ['Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'COc1ccc(CN)cc1', 'Ic1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12']; [0.999241292476654, 0.9990390539169312, 0.9977697134017944, 0.9976360201835632, 0.9968609809875488, 0.9256623983383179, 0.8454527258872986]
+O=C1CCc2cc(-c3cnn4cccnc34)ccc2N1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'O=C1CCc2cc(Br)ccc2N1', 'Brc1cnn2cccnc12', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(Br)ccc2N1', 'Ic1cnn2cccnc12', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1', 'c1cnc2ccnn2c1', 'O=C1CCc2cc(Br)ccc2N1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'O=C1CCc2ccccc2N1']; [0.9999995827674866, 0.9999961853027344, 0.9999944567680359, 0.9999798536300659, 0.9999111890792847, 0.9998992681503296, 0.9997982978820801, 0.9996963739395142, 0.9996001124382019, 0.9995110034942627, 0.9989720582962036, 0.9785649180412292, 0.8164166212081909]
+CCc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CCc1ccc(B(O)O)cc1', 'Brc1cnn2cccnc12', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1', 'Brc1cnn2cccnc12', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Cl)cc1', 'Brc1cnn2cccnc12', 'CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(I)cc1', 'Brc1cnn2cccnc12']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnn2cccnc12', 'CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Cl)cc1', 'CCc1ccc(B(O)O)cc1', 'Ic1cnn2cccnc12', 'CCc1ccc(I)cc1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CCc1ccc([Mg]Br)cc1', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'CCc1ccc(Br)cc1', 'c1cnc2ccnn2c1', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'CCc1ccccc1']; [0.9999998211860657, 0.999999463558197, 0.9999967813491821, 0.9999955892562866, 0.9999760389328003, 0.9999728798866272, 0.9998831748962402, 0.9998786449432373, 0.9998469948768616, 0.9990076422691345, 0.9986205101013184, 0.9963119029998779, 0.995919942855835, 0.9943060874938965, 0.9885914325714111, 0.985457181930542, 0.9847826957702637, 0.7755817174911499]
+COc1ccc(-c2cnn3cccnc23)cc1OC; ['Brc1cnn2cccnc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1ccc(B(O)O)cc1OC', 'COC(CC(OC)OC)OC', 'Brc1cnn2cccnc12', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC', 'Brc1cnn2cccnc12', 'COc1ccc(Cl)cc1OC', 'Brc1cnn2cccnc12']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'Ic1cnn2cccnc12', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Cl)cc1OC', 'Ic1cnn2cccnc12', 'COc1ccc(-c2cn[nH]c2N)cc1OC', 'COc1ccc(I)cc1OC', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'COc1ccc(Br)cc1OC', 'OB(O)c1cnn2cccnc12', 'COc1ccccc1OC']; [1.0, 0.9999995231628418, 0.9999991655349731, 0.9999969005584717, 0.9999954700469971, 0.9999871253967285, 0.9999656677246094, 0.9999497532844543, 0.9999474287033081, 0.9999079704284668, 0.9999078512191772, 0.9998904466629028, 0.9998394250869751, 0.9997797012329102, 0.9990361928939819, 0.9804507493972778]
+Clc1ccc(-c2cnn3cccnc23)c(Cl)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Clc1ccc(Br)c(Cl)c1', 'Brc1cnn2cccnc12', 'Clc1ccc(I)c(Cl)c1', 'Clc1ccc(Br)c(Cl)c1', 'Brc1cnn2cccnc12', 'Clc1ccc(I)c(Cl)c1', 'Clc1cccc(Cl)c1', 'Brc1cnn2cccnc12', 'Clc1cccc(Cl)c1']; ['Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Ic1cnn2cccnc12', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1cnn2cccnc12', 'Clc1ccc(I)c(Cl)c1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Clc1ccc([Mg]Br)c(Cl)c1', 'c1cnc2ccnn2c1', 'Ic1cnn2cccnc12', 'Clc1cccc(Cl)c1', 'c1cnc2ccnn2c1']; [1.0, 0.9999997615814209, 0.9999995231628418, 0.9999970197677612, 0.9999943971633911, 0.9999919533729553, 0.9999853372573853, 0.9999531507492065, 0.9999441504478455, 0.9999421238899231, 0.9998437166213989, 0.9995287656784058, 0.9983246326446533, 0.9957811832427979, 0.9768465757369995]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
+c1cc2cnc(-c3cnn4cccnc34)nn2c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1ncc2cccn2n1']; ['Clc1ncc2cccn2n1', 'OB(O)c1cnn2cccnc12']; [0.999998927116394, 0.9998796582221985]
+Cn1cc(-c2cnn3cccnc23)c(C(F)(F)F)n1; ['Brc1cnn2cccnc12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Brc1cnn2cccnc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Ic1cnn2cccnc12', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; [1.0, 1.0, 1.0, 1.0, 0.9999996423721313, 0.999998152256012, 0.9999977350234985, 0.9999963045120239]
+c1ccn2nc(-c3cnn4cccnc34)cc2c1; ['Brc1cc2ccccn2n1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1cc2ccccn2n1', 'Brc1cc2ccccn2n1']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1cc2ccccn2n1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [0.9999997615814209, 0.999996542930603, 0.9999849796295166, 0.9999786615371704]
+COc1cc(-c2cnn3cccnc23)ccc1N1CCOCC1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cnn4cccnc34)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cnn4cccnc34)c2c1; [None]; [None]; [0]
+Clc1cnc(-c2cnn3cccnc23)nc1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1cnc(I)nc1', 'Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1', 'CSc1ncc(Cl)cn1', 'Brc1cnn2cccnc12']; ['Clc1cnc(I)nc1', 'Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Clc1cncnc1']; [0.9999991655349731, 0.9999976754188538, 0.9999927282333374, 0.9998410940170288, 0.9993702173233032, 0.9967478513717651, 0.9254290461540222, 0.9185038208961487]
+COc1cc(F)c(-c2cnn3cccnc23)cc1OC; [None]; [None]; [0]
+Oc1ccc2cccc(-c3cnn4cccnc34)c2c1; [None]; [None]; [0]
+COc1cc(-c2cnn3cccnc23)ccc1Cl; ['Brc1cnn2cccnc12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Brc1cnn2cccnc12', 'COc1cc(I)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'Brc1cnn2cccnc12']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'Ic1cnn2cccnc12', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'COc1cc(Cl)ccc1Cl', 'Ic1cnn2cccnc12', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'COc1cc(Br)ccc1Cl', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'COc1ccccc1Cl']; [1.0, 1.0, 1.0, 1.0, 0.9999991655349731, 0.9999973177909851, 0.9999972581863403, 0.999995231628418, 0.9999948740005493, 0.9999942779541016, 0.9999834299087524, 0.9999679327011108, 0.9999589920043945, 0.9998126029968262, 0.989619255065918, 0.9693700075149536]
+Cc1nc(Nc2cnn3cccnc23)sc1C; ['Cc1nc(Br)sc1C', 'Brc1cnn2cccnc12', 'Cc1nc(Cl)sc1C']; ['Nc1cnn2cccnc12', 'Cc1nc(N)sc1C', 'Nc1cnn2cccnc12']; [0.9999942779541016, 0.9999756813049316, 0.9999723434448242]
+Cc1csc2c(-c3cnn4cccnc34)ncnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1csc2c(Cl)ncnc12']; ['Cc1csc2c(Cl)ncnc12', 'OB(O)c1cnn2cccnc12']; [0.9999651908874512, 0.9975457191467285]
+OCCn1cc(-c2cnn3cccnc23)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OCCn1cc(Br)cn1', 'Brc1cnn2cccnc12']; ['Ic1cnn2cccnc12', 'OCCn1cc(I)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(Br)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(I)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(Br)cn1', 'c1cnc2ccnn2c1', 'OCCn1cccn1']; [1.0, 1.0, 0.9999998807907104, 0.9999997019767761, 0.999999463558197, 0.9999989867210388, 0.9999980926513672, 0.9999902844429016, 0.9999028444290161, 0.999894380569458, 0.999541163444519, 0.985742449760437, 0.9843528270721436]
+Cc1cc(Nc2cnn3cccnc23)nn1C; ['Cc1cc(N)nn1C', 'Cc1cc(N)nn1C', 'Brc1cnn2cccnc12']; ['Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Cc1cc(N)nn1C']; [0.9999111890792847, 0.9998694062232971, 0.9998307228088379]
+CNC(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnn2cccnc12', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [1.0, 1.0, 0.9999994039535522, 0.9999967813491821, 0.9999778270721436, 0.9999741315841675, 0.9996591806411743]
+O=C(Nc1cnn2cccnc12)c1ccco1; ['Nc1cnn2cccnc12', 'Nc1cnn2cccnc12']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1']; [0.9998394250869751, 0.9979358315467834]
+CCNC(=O)c1ccc(-c2cnn3cccnc23)nc1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CCNC(=O)c1ccc(Cl)nc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CCNC(=O)c1ccc(Br)nc1']; ['CCNC(=O)c1ccc(Cl)nc1', 'OB(O)c1cnn2cccnc12', 'CCNC(=O)c1ccc(Br)nc1', 'OB(O)c1cnn2cccnc12']; [0.9999939799308777, 0.999992847442627, 0.9999912977218628, 0.9999848008155823]
+Nc1cc(-c2cnn3cccnc23)c2cc[nH]c2n1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Cl)c2cc[nH]c2n1']; ['Nc1cc(Br)c2cc[nH]c2n1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [0.9999992847442627, 0.9998112916946411, 0.9975506663322449]
+NC(=O)c1ccc(Cc2cnn3cccnc23)cc1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C']; ['NC(=O)c1ccc(CBr)cc1']; [0.9997518062591553]
+COc1cc(-c2cnn3cccnc23)c(OC)cc1Br; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'Brc1cnn2cccnc12', 'COc1cc(Br)c(OC)cc1Br']; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'COc1cc(B(O)O)c(OC)cc1Br', 'OB(O)c1cnn2cccnc12']; [0.9999997615814209, 0.9999657273292542, 0.9999392032623291, 0.9988023042678833, 0.9986635446548462, 0.9940264821052551, 0.9491077661514282]
+COc1cc(OC)cc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1cc(OC)cc(B(O)O)c1', 'Brc1cnn2cccnc12', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'Brc1cnn2cccnc12', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'Brc1cnn2cccnc12']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'Ic1cnn2cccnc12', 'COc1cc(Cl)cc(OC)c1', 'Ic1cnn2cccnc12', 'COc1cc(OC)cc(B(O)O)c1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'COc1cc(Br)cc(OC)c1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'COc1cccc(OC)c1']; [1.0, 1.0, 1.0, 0.9999998211860657, 0.999998927116394, 0.9999982118606567, 0.999998152256012, 0.9999858140945435, 0.9999847412109375, 0.9999780654907227, 0.9995274543762207, 0.9994053840637207, 0.9932650327682495, 0.8809995055198669]
+CCNC(=O)N1CCC(c2cnn3cccnc23)CC1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cnn3cccnc23)c1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cnn3cccnc23)cc1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cnn3cccnc13)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cnn3cccnc23)c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnn3cccnc23)CC1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cnn3cccnc23)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1', 'CCOC(=O)c1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(C(=O)Cl)cc1', 'Brc1cnn2cccnc12', 'CC(C)(C)c1ccc(C(N)=O)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1']; ['Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'O=[N+]([O-])c1cnn2cccnc12', 'CC(C)(C)c1ccc(C(N)=O)cc1', 'Nc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'O=[N+]([O-])c1cnn2cccnc12']; [0.9999917149543762, 0.9999642372131348, 0.9999467134475708, 0.9998712539672852, 0.9998176097869873, 0.999350368976593, 0.9992083311080933, 0.9987152814865112, 0.9913542866706848]
+c1cnc2c(-c3ccc4cn[nH]c4c3)cnn2c1; ['Brc1cnn2cccnc12', 'Brc1ccc2cn[nH]c2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1ccc2cn[nH]c2c1', 'Brc1cnn2cccnc12', 'Brc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'Ic1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1cnn2cccnc12', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1']; [1.0, 1.0, 1.0, 0.9999998807907104, 0.9999992251396179, 0.9999988079071045, 0.9999942779541016, 0.9999881982803345, 0.9999822974205017, 0.998735785484314, 0.9967500567436218, 0.9907913208007812]
+CCn1cc(-c2cnn3cccnc23)cn1; ['Brc1cnn2cccnc12', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CCn1cc(B(O)O)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(Cl)cn1', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'CCn1cc(Br)cn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1cnn2cccnc12', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(Cl)cn1', 'CCn1cc(B(O)O)cn1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CCn1cccn1', 'CCn1cc(Br)cn1', 'c1cnc2ccnn2c1']; [0.9999997615814209, 0.9999997615814209, 0.9999997615814209, 0.9999979734420776, 0.9999975562095642, 0.9999804496765137, 0.9999687075614929, 0.9999517202377319, 0.9988949298858643, 0.9985724687576294, 0.9964361190795898, 0.9945008754730225, 0.8939937353134155]
+CNC(=O)c1ccc(OC)c(-c2cnn3cccnc23)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['CNC(=O)c1ccc(OC)c(Br)c1', 'OB(O)c1cnn2cccnc12']; [0.999997615814209, 0.9986591339111328]
+c1ccc2oc(-c3cnn4cccnc34)cc2c1; ['Ic1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Brc1cc2ccccc2o1', 'Clc1cc2ccccc2o1', 'Brc1cnn2cccnc12']; ['OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1ccc2occc2c1']; [0.9999197721481323, 0.9999055862426758, 0.998824954032898, 0.9979745149612427, 0.9873301982879639]
+COc1ccc2oc(-c3cnn4cccnc34)cc2c1; [None]; [None]; [0]
+c1cnc2c(-c3ncc4sccc4n3)cnn2c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1ncc2sccc2n1', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12']; ['Clc1ncc2sccc2n1', 'OB(O)c1cnn2cccnc12', 'Clc1ncc2sccc2n1', 'c1ncc2sccc2n1', 'c1ncc2sccc2n1']; [0.9999967217445374, 0.9999489784240723, 0.9999475479125977, 0.9945216178894043, 0.960028350353241]
+c1cncc(-c2ccnc(-c3cnn4cccnc34)c2)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cnn3cccnc23)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br']; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [1.0, 1.0, 1.0, 0.9999998211860657, 0.9999990463256836, 0.999998927116394]
+COc1ccc2nc(-c3cnn4cccnc34)[nH]c2c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1ccc(N)c(N)c1', 'COc1ccc([N+](=O)[O-])c(N)c1', 'COc1ccc(N)c([N+](=O)[O-])c1', 'COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1', 'COc1ccc2nc(Cl)[nH]c2c1', 'CCOC(=O)c1cnn2cccnc12', 'COc1ccc2nc[nH]c2c1', 'COc1ccc2nc[nH]c2c1']; ['COc1ccc2nc(Cl)[nH]c2c1', 'O=Cc1cnn2cccnc12', 'O=Cc1cnn2cccnc12', 'O=Cc1cnn2cccnc12', 'O=C(Cl)c1cnn2cccnc12', 'O=C(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'COc1ccc(N)c(N)c1', 'Nc1cnn2cccnc12', 'Ic1cnn2cccnc12']; [0.9999976754188538, 0.9999971985816956, 0.9999960660934448, 0.9999862909317017, 0.9999567866325378, 0.999902606010437, 0.9998615980148315, 0.9992179870605469, 0.9806504249572754, 0.9542853832244873]
+COc1ccc(F)c(C(=O)Nc2cnn3cccnc23)c1; ['COc1ccc(F)c(C(=O)O)c1', 'Brc1cnn2cccnc12', 'COc1ccc(F)c(C(N)=O)c1']; ['Nc1cnn2cccnc12', 'COc1ccc(F)c(C(N)=O)c1', 'Nc1cnn2cccnc12']; [0.9999446272850037, 0.999785304069519, 0.9992780685424805]
+Cn1cc(Br)cc1-c1cnn2cccnc12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cnn3cccnc23)c1)N1CCCC1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'FC(F)(F)Oc1ccc(I)cc1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'Brc1cnn2cccnc12', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'Brc1cnn2cccnc12', 'FC(F)(F)Oc1ccccc1']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'FC(F)(F)Oc1ccc(Br)cc1', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'FC(F)(F)Oc1ccccc1', 'Ic1cnn2cccnc12']; [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9999998807907104, 0.9999996423721313, 0.9999992251396179, 0.9999990463256836, 0.9999979734420776, 0.9999958872795105, 0.9999947547912598, 0.9999576807022095]
+Cn1cc(-c2cnn3cccnc23)c2ccccc21; ['Brc1cnn2cccnc12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1cnn2cccnc12']; [0.9999992847442627, 0.9999951124191284]
+CCc1cccc(-c2cnn3cccnc23)n1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CCc1cccc(Br)n1', 'Brc1cnn2cccnc12', 'CCc1ccccn1', 'Brc1cnn2cccnc12']; ['CCc1cccc(Br)n1', 'OB(O)c1cnn2cccnc12', 'CCc1cccc(Br)n1', 'OB(O)c1cnn2cccnc12', 'CCc1ccccn1']; [0.9999938011169434, 0.9999474883079529, 0.9990668892860413, 0.9977730512619019, 0.9747116565704346]
+c1cnc2c(-c3ncn4c3CCCC4)cnn2c1; ['Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; ['c1ncn2c1CCCC2', 'c1ncn2c1CCCC2']; [0.8923567533493042, 0.8671315908432007]
+CN(C)c1ccc(-c2cnn3cccnc23)cn1; ['Brc1cnn2cccnc12', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1', 'Brc1cnn2cccnc12', 'CN(C)c1ccc(Cl)cn1', 'CN(C)c1ccc(Br)cn1', 'Brc1cnn2cccnc12', 'CN(C)c1ccc(Br)cn1', 'Brc1cnn2cccnc12']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1cnn2cccnc12', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Cl)cn1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CN(C)c1ccc(I)cn1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'CN(C)c1ccc(Br)cn1', 'Ic1cnn2cccnc12', 'CN(C)c1ccccn1']; [0.9999994039535522, 0.9999977946281433, 0.9999964237213135, 0.9999925494194031, 0.9999856948852539, 0.9999523162841797, 0.9998003244400024, 0.9995893239974976, 0.9992344379425049, 0.9989320039749146, 0.9976989030838013, 0.9957836866378784, 0.9954093098640442, 0.9913845062255859, 0.8166979551315308]
+Cn1ncc2cc(-c3cnn4cccnc34)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cnn4cccnc34)ccc12; ['Brc1cnn2cccnc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Brc1cnn2cccnc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Brc1cnn2cccnc12']; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Ic1cnn2cccnc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Ic1cnn2cccnc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Cc1n[nH]c2cc(Br)ccc12']; [1.0, 1.0, 1.0, 1.0, 0.9999988079071045, 0.9999979734420776, 0.9999920129776001, 0.999985933303833, 0.9980761408805847]
+CC(=O)N1CCC(n2cc(-c3cnn4cccnc34)cn2)CC1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cnn4cccnc34)[nH]c2c1; [None]; [None]; [0]
-c1cnc2c(-c3ncn4c3CCCC4)cnn2c1; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cnn4cccnc34)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cnn4cccnc34)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1cnn2cccnc12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cc1cc(-c2cnn3cccnc23)cc(C)c1OCCO; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1', 'Brc1cnn2cccnc12', 'O=C1CCCN1c1cccc(Cl)c1']; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1', 'Ic1cnn2cccnc12', 'O=C1CCCN1c1cccc(Cl)c1', 'OB(O)c1cnn2cccnc12', 'O=C1CCCN1c1cccc(Br)c1', 'OB(O)c1cnn2cccnc12']; [1.0, 1.0, 1.0, 0.9999995231628418, 0.9998480677604675, 0.9995968341827393, 0.9995120763778687]
+CN(C)C(=O)c1ccc(-c2cnn3cccnc23)c(Cl)c1; ['CN(C)C(=O)c1cccc(Cl)c1', 'Brc1cnn2cccnc12']; ['Ic1cnn2cccnc12', 'CN(C)C(=O)c1cccc(Cl)c1']; [0.9698110818862915, 0.9487978219985962]
+OCCc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OCCc1ccc(Br)cc1', 'OB(O)c1cnn2cccnc12', 'OCCc1ccc(I)cc1']; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Ic1cnn2cccnc12', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Cl)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(Br)cc1', 'c1cnc2ccnn2c1', 'OCCc1ccc(Cl)cc1', 'c1cnc2ccnn2c1']; [0.9999997615814209, 0.999998927116394, 0.9999975562095642, 0.9999948740005493, 0.9999669790267944, 0.9999445676803589, 0.9998555779457092, 0.9994986057281494, 0.9953272342681885, 0.9883332252502441, 0.9075888395309448, 0.8871503472328186, 0.8508585691452026]
+CNC(=O)c1ccc(-c2cnn3cccnc23)c(OC)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['CNC(=O)c1ccc(Br)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [0.9999982714653015, 0.9999968409538269, 0.9999817609786987, 0.9995814561843872]
 Cc1ncc(-c2ccc(-c3cnn4cccnc34)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1Br', 'Brc1cnn2cccnc12']; ['COc1cc(S(C)(=O)=O)ccc1Br', 'OB(O)c1cnn2cccnc12', 'O=C(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'COc1cc(S(C)(=O)=O)ccc1Br']; [0.9999997615814209, 0.999987781047821, 0.9999439716339111, 0.9998410940170288, 0.999800980091095]
+Cc1cc(N2CCOCC2)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnn3cccnc23)cc1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [0.9999983906745911, 0.9999980926513672, 0.9999819993972778, 0.9999803304672241, 0.9997738003730774]
+Fc1ccc(Nc2cnn3cccnc23)nc1; ['Fc1ccc(Br)nc1', 'Ic1cnn2cccnc12', 'Fc1ccc(Cl)nc1', 'Brc1cnn2cccnc12', 'Fc1ccc(F)nc1']; ['Nc1cnn2cccnc12', 'Nc1ccc(F)cn1', 'Nc1cnn2cccnc12', 'Nc1ccc(F)cn1', 'Nc1cnn2cccnc12']; [0.9998462200164795, 0.9998112916946411, 0.999544084072113, 0.9993468523025513, 0.9975638389587402]
+Cc1cc(Nc2cnn3cccnc23)ncc1F; ['Cc1cc(Br)ncc1F', 'Cc1cc(Cl)ncc1F', 'Cc1cc(N)ncc1F', 'Brc1cnn2cccnc12']; ['Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Cc1cc(N)ncc1F']; [0.999990701675415, 0.9999861717224121, 0.999979555606842, 0.9999574422836304]
+CN(C)C(=O)c1ccc(-c2cnn3cccnc23)nc1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CN(C)C(=O)c1ccc(Cl)nc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CN(C)C(=O)c1ccc(Br)nc1']; ['CN(C)C(=O)c1ccc(Cl)nc1', 'OB(O)c1cnn2cccnc12', 'CN(C)C(=O)c1ccc(Br)nc1', 'OB(O)c1cnn2cccnc12']; [0.9999997019767761, 0.9999991655349731, 0.9999985694885254, 0.9999866485595703]
+CCNC(=O)Cc1ccc(-c2cnn3cccnc23)cc1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CCNC(=O)Cc1ccc(Br)cc1']; ['CCNC(=O)Cc1ccc(Br)cc1', 'OB(O)c1cnn2cccnc12']; [0.9999985694885254, 0.9996857643127441]
+c1ccc(Nc2cnn3cccnc23)nc1; ['Brc1ccccn1', 'Clc1ccccn1', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Fc1ccccn1']; ['Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1ccccn1', 'Nc1ccccn1', 'Nc1cnn2cccnc12']; [0.9985044598579407, 0.9968621730804443, 0.9918602108955383, 0.9896163940429688, 0.9860098361968994]
+COc1cc(N2CCNCC2)ccc1-c1cnn2cccnc12; [None]; [None]; [0]
 Cn1nc(-c2cnn3cccnc23)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2cnn3cccnc23)ncc1F; [None]; [None]; [0]
-c1cnn2ncc(-c3cnn4cccnc34)c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnn3cccnc23)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1']; [1.0, 0.9999808073043823, 0.9999556541442871]
+Cc1ccc(C(=O)NCCO)cc1-c1cnn2cccnc12; [None]; [None]; [0]
+c1ccc2c(-c3cnn4cccnc34)n[nH]c2c1; ['Brc1n[nH]c2ccccc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1n[nH]c2ccccc12', 'Ic1n[nH]c2ccccc12', 'Brc1cnn2cccnc12', 'Clc1n[nH]c2ccccc12']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1n[nH]c2ccccc12', 'Clc1n[nH]c2ccccc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1n[nH]c2ccccc12', 'OB(O)c1cnn2cccnc12']; [0.9999953508377075, 0.9999877214431763, 0.9998213648796082, 0.9985058903694153, 0.997980535030365, 0.9958059787750244, 0.9885473847389221]
+Clc1ccc2c(c1-c1cnn3cccnc13)OCO2; ['Brc1cnn2cccnc12', 'Ic1cnn2cccnc12']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2']; [0.999976396560669, 0.9998900294303894]
+Clc1cccc(Cl)c1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Clc1cccc(Cl)c1I', 'Ic1cnn2cccnc12', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1cnn2cccnc12', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1']; [0.999996542930603, 0.9999951124191284, 0.9999524354934692, 0.9999045729637146, 0.9997137784957886, 0.9995638132095337, 0.9973660111427307]
+c1cc(-c2cnn3cccnc23)c2cccnc2c1; ['Brc1cnn2cccnc12', 'Brc1cccc2ncccc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cccc2ncccc12', 'Ic1cnn2cccnc12', 'Brc1cccc2ncccc12', 'Brc1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'Brc1cccc2ncccc12', 'Clc1cccc2ncccc12', 'Ic1cccc2ncccc12', 'Ic1cccc2ncccc12', 'Brc1cccc2ncccc12', 'Brc1cccc2ncccc12', 'Ic1cccc2ncccc12']; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cccc2ncccc12', 'Ic1cnn2cccnc12', 'OB(O)c1cccc2ncccc12', 'Clc1cccc2ncccc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'O=C(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'O=C(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1']; [0.9999987483024597, 0.9999984502792358, 0.9999954700469971, 0.999990701675415, 0.9999841451644897, 0.9999271035194397, 0.999924898147583, 0.9999136924743652, 0.9999003410339355, 0.9998897910118103, 0.9991798400878906, 0.9984943866729736, 0.9977489709854126, 0.9965599179267883, 0.9959430694580078, 0.9953845143318176, 0.9944275617599487, 0.9595117568969727]
+CNC(=O)c1ccc(C)c(-c2cnn3cccnc23)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn3cccnc23)c(F)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'NC(=O)c1ccc(Br)c(F)c1', 'Ic1cnn2cccnc12', 'NC(=O)c1ccc(Cl)c(F)c1']; ['NC(=O)c1ccc(Br)c(F)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Ic1cnn2cccnc12', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Cl)c(F)c1', 'OB(O)c1cnn2cccnc12', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'OB(O)c1cnn2cccnc12']; [0.9999998807907104, 0.9999992251396179, 0.9999953508377075, 0.9999898672103882, 0.9999894499778748, 0.9999866485595703, 0.999984860420227, 0.9979375600814819]
+Fc1ccc(Oc2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.999930739402771, 0.999821662902832, 0.9993152618408203]
+Oc1cc(-c2cnn3cccnc23)ccc1Cl; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1cnn2cccnc12', 'OB(O)c1ccc(Cl)c(O)c1', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl']; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Ic1cnn2cccnc12', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'OB(O)c1ccc(Cl)c(O)c1', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(I)ccc1Cl', 'Oc1cc(Cl)ccc1Cl', 'Oc1cc(Br)ccc1Cl', 'c1cnc2ccnn2c1', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(Cl)ccc1Cl', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1']; [1.0, 0.9999988079071045, 0.9999979734420776, 0.9999979138374329, 0.9999971389770508, 0.9999934434890747, 0.9999858736991882, 0.999933660030365, 0.9999295473098755, 0.9997909069061279, 0.9972763061523438, 0.9905617237091064, 0.9836757183074951, 0.9719750881195068]
+Oc1ccc(-c2cnn3cccnc23)c(Cl)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Oc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(O)cc1Cl', 'OB(O)c1cnn2cccnc12', 'Oc1ccc(I)c(Cl)c1', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12']; ['Oc1ccc(Br)c(Cl)c1', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(I)c(Cl)c1', 'Ic1cnn2cccnc12', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'Oc1ccc(I)c(Cl)c1', 'c1cnc2ccnn2c1', 'Oc1cccc(Cl)c1', 'Oc1cccc(Cl)c1']; [0.9999993443489075, 0.9999974370002747, 0.999995768070221, 0.9999900460243225, 0.999944806098938, 0.99993896484375, 0.9999310970306396, 0.9997581839561462, 0.9994884729385376, 0.9989446401596069, 0.9948351383209229, 0.963593602180481, 0.7722171545028687]
+COc1cc(C(N)=O)ccc1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1Br', 'Brc1cnn2cccnc12']; ['COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'COc1cc(C(N)=O)ccc1Br']; [0.9999996423721313, 0.9999992847442627, 0.9999953508377075, 0.9998537302017212, 0.9998306035995483, 0.9980250597000122]
+Nc1nccc(-c2cnn3cccnc23)n1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Nc1nccc(I)n1', 'Nc1nccc(Br)n1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Nc1nccc(Cl)n1', 'Nc1ncccn1', 'Brc1cnn2cccnc12']; ['Nc1nccc(Br)n1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Nc1nccc(Cl)n1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Nc1nccc(Cl)n1']; [0.9999905824661255, 0.9998878240585327, 0.999866247177124, 0.9997847080230713, 0.9978407621383667, 0.9970760345458984, 0.9904311299324036]
+Oc1ccc(-c2cnn3cccnc23)c(F)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Oc1ccc(Br)c(F)c1', 'Oc1ccc(I)c(F)c1', 'Ic1cnn2cccnc12']; ['Oc1ccc(Br)c(F)c1', 'Oc1ccc(I)c(F)c1', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Ic1cnn2cccnc12', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Br)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(Br)c(F)c1', 'Oc1cccc(F)c1', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'Oc1cccc(F)c1']; [0.9999997615814209, 0.9999991655349731, 0.9999978542327881, 0.9999876022338867, 0.9999852180480957, 0.9999749660491943, 0.9999709129333496, 0.9999629259109497, 0.9997799396514893, 0.999505877494812, 0.9994586110115051, 0.997995913028717, 0.9973845481872559]
+COc1ccc(F)cc1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnn2cccnc12', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'Brc1cnn2cccnc12', 'COc1ccc(F)cc1Br', 'Brc1cnn2cccnc12']; ['COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnn2cccnc12', 'COc1ccc(F)cc1B(O)O', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'COc1ccc(F)cc1[Mg]Br', 'c1cnc2ccnn2c1', 'COc1ccc(F)cc1Br']; [0.9999997615814209, 0.9999995827674866, 0.9999980926513672, 0.9999914169311523, 0.9999896287918091, 0.9999776482582092, 0.9998707175254822, 0.9994246959686279, 0.9982783794403076]
+COC(=O)c1ccc(-c2cnn3cccnc23)o1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'COC(=O)c1ccc(Cl)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1', 'Brc1cnn2cccnc12', 'COC(=O)c1ccco1']; ['COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'COC(=O)c1ccco1', 'Nc1cnn2cccnc12']; [0.9999954104423523, 0.999503493309021, 0.9994133710861206, 0.9988515973091125, 0.9977434277534485, 0.9964380860328674, 0.99405837059021]
+Clc1[nH]ncc1-c1cnn2cccnc12; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1Br', 'Brc1cnn2cccnc12', 'COc1cc(F)ccc1I', 'Brc1cnn2cccnc12', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1I', 'Brc1cnn2cccnc12', 'COc1cccc(F)c1']; ['COc1cc(F)ccc1Br', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnn2cccnc12', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1B(O)O', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'COc1cc(F)ccc1[Mg]Br', 'c1cnc2ccnn2c1', 'COc1cc(F)ccc1Br', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'COc1cccc(F)c1', 'Ic1cnn2cccnc12']; [0.9999995231628418, 0.9999995231628418, 0.9999987483024597, 0.9999956488609314, 0.9999899864196777, 0.9999891519546509, 0.9999868869781494, 0.9999797344207764, 0.999972403049469, 0.9999432563781738, 0.9998675584793091, 0.9996496438980103, 0.9995670318603516, 0.9988316893577576, 0.9983913898468018, 0.9974042177200317, 0.9872899055480957, 0.9766591787338257]
+Cc1nc2c(F)cc(-c3cnn4cccnc34)cc2[nH]1; [None]; [None]; [0]
+Brc1cccc(-c2cnn3cccnc23)c1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'COC(CC(OC)OC)OC', 'Brc1cccc(I)c1', 'Brc1cnn2cccnc12', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Brc1cccc(Br)c1', 'Clc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['Ic1cnn2cccnc12', 'Nc1n[nH]cc1-c1cccc(Br)c1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'O=C(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1']; [0.999998927116394, 0.9999988675117493, 0.9999980330467224, 0.9999973773956299, 0.9999889135360718, 0.9999576210975647, 0.9999302625656128, 0.9999114871025085, 0.9993859529495239, 0.9992232322692871, 0.9981422424316406, 0.996673583984375, 0.9902744889259338, 0.9205658435821533]
 Oc1ccc(-c2ccc(-c3cnn4cccnc34)cc2)c(O)c1; [None]; [None]; [0]
+COc1cc(CCc2cnn3cccnc23)ccc1O; [None]; [None]; [0]
+c1ccc2cc(-c3cnn4cccnc34)ccc2c1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1ccc2ccccc2c1', 'COC(CC(OC)OC)OC', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'Ic1ccc2ccccc2c1', 'O=S(=O)(Oc1ccc2ccccc2c1)C(F)(F)F', 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Ic1cnn2cccnc12', 'CC1(C)COB(c2ccc3ccccc3c2)OC1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Nc1n[nH]cc1-c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'O=C(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'c1ccc2ccccc2c1']; [1.0, 0.9999995827674866, 0.9999995231628418, 0.9999994039535522, 0.9999984502792358, 0.9999978542327881, 0.9999967813491821, 0.9999963641166687, 0.9999919533729553, 0.9999372959136963, 0.9999072551727295, 0.9999013543128967, 0.9995613098144531, 0.9993905425071716, 0.9991451501846313, 0.9962447881698608, 0.9855791330337524]
+Oc1ccc(-c2cnn3cccnc23)cc1F; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Oc1ccc(Br)cc1F', 'OB(O)c1cnn2cccnc12', 'Oc1ccc(I)cc1F', 'Brc1cnn2cccnc12']; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Oc1ccc(Br)cc1F', 'Ic1cnn2cccnc12', 'Oc1ccc(I)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Cl)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(I)cc1F', 'Oc1ccc(Br)cc1F', 'Oc1ccc(Br)cc1F', 'c1cnc2ccnn2c1', 'Oc1ccc(Cl)cc1F', 'c1cnc2ccnn2c1', 'Oc1ccccc1F']; [1.0, 1.0, 0.9999997615814209, 0.9999988079071045, 0.9999971389770508, 0.9999942183494568, 0.9999924898147583, 0.9999855160713196, 0.999953031539917, 0.9997564554214478, 0.9989350438117981, 0.99696284532547, 0.9964578151702881, 0.9153131246566772]
+COC(=O)c1ccc(Cl)c(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1']; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'Ic1cnn2cccnc12', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [1.0, 1.0, 1.0, 0.999999463558197, 0.9999984502792358, 0.999997615814209, 0.9999971389770508, 0.9999699592590332, 0.9998996257781982, 0.9998102188110352, 0.9989398717880249, 0.9978880882263184]
+c1cnn2ncc(-c3cnn4cccnc34)c2c1; ['Brc1cnn2ncccc12', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12', 'Brc1cnn2ncccc12']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1']; [0.9999964237213135, 0.9999946355819702, 0.9999747276306152, 0.9996259808540344, 0.9973198175430298]
+Oc1ccc(-c2cnn3cccnc23)c(O)c1; [None]; [None]; [0]
+Nc1cc(-c2cnn3cccnc23)ccn1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Nc1cc(I)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(Cl)ccn1', 'Brc1cnn2cccnc12']; ['Nc1cc(Br)ccn1', 'Nc1cc(I)ccn1', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Ic1cnn2cccnc12', 'Nc1cc(Cl)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Nc1cc(Br)ccn1']; [0.9999995827674866, 0.999999463558197, 0.9999994039535522, 0.9999994039535522, 0.9999983310699463, 0.9999820590019226, 0.9999704360961914, 0.9999701976776123, 0.9999348521232605, 0.9997482299804688, 0.9997223019599915, 0.9977190494537354, 0.9961333274841309]
+c1cnc2c(-c3c[nH]c4cnccc34)cnn2c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1c[nH]c2cnccc12', 'Ic1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12', 'Ic1cnn2cccnc12', 'Brc1c[nH]c2cnccc12', 'Brc1cnn2cccnc12']; ['Ic1c[nH]c2cnccc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1c[nH]c2cnccc12', 'Brc1cnn2cccnc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9999982118606567, 0.9999921321868896, 0.9996649622917175, 0.9970791339874268, 0.9969940185546875, 0.9855071306228638, 0.9835606217384338]
+Cc1ccc2[nH]ncc2c1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br']; ['Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [0.9999984502792358, 0.9999743700027466, 0.9999580383300781, 0.9999113082885742]
+Clc1ccccc1OCc1cnn2cccnc12; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2cnn3cccnc23)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; ['Oc1ccc(Cl)c(Br)c1', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'OB(O)c1cc(O)ccc1Cl', 'Oc1ccc(Cl)c(Br)c1']; [0.9999991655349731, 0.9999977350234985, 0.9997693300247192, 0.9995664954185486]
+Fc1ccc(-c2nc[nH]c2-c2cnn3cccnc23)cc1; ['Fc1ccc(-c2c[nH]cn2)cc1', 'Fc1ccc(-c2c[nH]cn2)cc1', 'Brc1cnn2cccnc12', 'Fc1ccc(-c2cnc[nH]2)cc1']; ['OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Fc1ccc(-c2c[nH]cn2)cc1', 'Ic1cnn2cccnc12']; [0.9999560117721558, 0.9998964071273804, 0.9998118281364441, 0.9998085498809814]
+NC(=O)c1cc(-c2cnn3cccnc23)c[nH]1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'NC(=O)c1cc(Br)c[nH]1']; ['NC(=O)c1cc(Br)c[nH]1', 'OB(O)c1cnn2cccnc12']; [0.9999969005584717, 0.9983034729957581]
+Cc1ccc(CO)cc1-c1cnn2cccnc12; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1I', 'Brc1cnn2cccnc12', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1Br', 'Brc1cnn2cccnc12', 'Cc1ccc(CO)cc1I']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1I', 'Ic1cnn2cccnc12', 'Cc1ccc(CO)cc1Cl', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Cc1ccc(CO)cc1B(O)O', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Cc1ccc(CO)cc1Br', 'c1cnc2ccnn2c1']; [0.9999980330467224, 0.9999969005584717, 0.9999940991401672, 0.999971866607666, 0.9999451637268066, 0.9990109801292419, 0.9989923238754272, 0.9988312721252441, 0.9880107641220093, 0.9825575351715088, 0.9562817811965942, 0.9372246265411377, 0.8666654825210571]
+Fc1ccc(-c2cnn3cccnc23)cc1Cl; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Fc1ccc(Br)cc1Cl', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Cl)cc1Cl', 'Brc1cnn2cccnc12', 'Fc1ccccc1Cl', 'Fc1ccccc1Cl', 'Fc1ccc(Cl)cc1Cl']; ['OB(O)c1ccc(F)c(Cl)c1', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Ic1cnn2cccnc12', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(I)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(I)cc1Cl', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'c1cnc2ccnn2c1', 'Fc1ccc([Mg]Br)cc1Cl', 'Fc1ccc([B-](F)(F)F)cc1Cl', 'c1cnc2ccnn2c1', 'O=C(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'Fc1ccccc1Cl', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1']; [1.0, 1.0, 1.0, 1.0, 1.0, 0.9999998211860657, 0.9999996423721313, 0.9999996423721313, 0.999998927116394, 0.9999986886978149, 0.9999974966049194, 0.9999938011169434, 0.99998539686203, 0.9999756217002869, 0.999972403049469, 0.9999462366104126, 0.9999428987503052, 0.9998262524604797, 0.9997519254684448, 0.9997316598892212, 0.9837561845779419, 0.9654082655906677, 0.9520718455314636, 0.8799099922180176]
+Oc1ncc(-c2cnn3cccnc23)cc1Cl; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Oc1ncc(I)cc1Cl', 'OB(O)c1cnn2cccnc12', 'Oc1ncc(Br)cc1Cl']; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Ic1cnn2cccnc12', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(I)cc1Cl', 'Oc1ncc(I)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncccc1Cl', 'Oc1ncccc1Cl', 'c1cnc2ccnn2c1', 'Oc1ncc(Cl)cc1Cl', 'c1cnc2ccnn2c1']; [0.9999997019767761, 0.999998927116394, 0.9999985694885254, 0.9999982118606567, 0.9996708035469055, 0.9976274371147156, 0.9958072900772095, 0.9806952476501465, 0.9633331894874573, 0.9205772876739502, 0.8725475072860718, 0.8546656370162964]
+NC(=O)Nc1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'NC(=O)Nc1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'NC(=O)Nc1ccc(Br)cc1', 'OB(O)c1cnn2cccnc12']; [0.9999989867210388, 0.999993085861206, 0.9918333292007446]
+Cc1nc2ccc(-c3cnn4cccnc34)cc2[nH]1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1', 'Brc1cnn2cccnc12']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Ic1cnn2cccnc12', 'Cc1nc2ccc(Cl)cc2[nH]1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Cc1nc2ccc(Br)cc2[nH]1']; [0.9999996423721313, 0.9999995231628418, 0.9999995231628418, 0.9999865293502808, 0.9998133778572083, 0.9910699129104614, 0.9781448841094971]
+c1cnc2c(-c3cnc4[nH]ccc4c3)cnn2c1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [0.9999998211860657, 0.9999996423721313, 0.999999463558197, 0.999999463558197, 0.9999983310699463, 0.9999918937683105, 0.9999748468399048, 0.9999226331710815, 0.9997340440750122, 0.9996770620346069, 0.9989434480667114, 0.998414158821106, 0.9936416149139404]
+CS(=O)(=O)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'Brc1cnn2cccnc12', 'CS(=O)(=O)c1ccc(Br)cc1', 'Brc1cnn2cccnc12', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Ic1cnn2cccnc12', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CS(=O)(=O)c1ccc(Cl)cc1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CS(=O)(=O)c1ccc(Br)cc1', 'c1cnc2ccnn2c1', 'CS(=O)(=O)c1ccccc1', 'c1cnc2ccnn2c1']; [1.0, 1.0, 1.0, 1.0, 0.9999995231628418, 0.9999994039535522, 0.9999994039535522, 0.9999991655349731, 0.9999939203262329, 0.9999827742576599, 0.9999275803565979, 0.9997219443321228, 0.998225212097168, 0.9963462352752686]
+CCOc1cccc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(Br)c1', 'Brc1cnn2cccnc12', 'CCOc1cccc(Br)c1']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(Br)c1', 'Ic1cnn2cccnc12', 'CCOc1cccc(I)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(I)c1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'CCOc1cccc(Br)c1', 'c1cnc2ccnn2c1']; [0.9999989867210388, 0.9999970197677612, 0.9999969601631165, 0.9999954700469971, 0.9999730587005615, 0.9999586343765259, 0.9999570250511169, 0.9999135732650757, 0.9998285174369812, 0.9995724558830261, 0.9962361454963684, 0.9787466526031494]
+CNC(=O)c1cccc2cc(-c3cnn4cccnc34)ccc12; [None]; [None]; [0]
+c1ccc2sc(-c3cnn4cccnc34)nc2c1; ['Brc1nc2ccccc2s1', 'Nc1ccccc1S', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Nc1ccccc1S', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Brc1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Clc1nc2ccccc2s1']; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'O=Cc1cnn2cccnc12', 'Clc1nc2ccccc2s1', 'c1ccc2scnc2c1', 'O=C(O)c1cnn2cccnc12', 'c1ccc2scnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; [0.9999986886978149, 0.999997615814209, 0.9999939203262329, 0.999987006187439, 0.9999807476997375, 0.9999597072601318, 0.9999589920043945, 0.9998862743377686, 0.9998403787612915, 0.9993316531181335, 0.998967170715332]
+CNc1nccc(-c2cnn3cccnc23)n1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CNc1nccc(Br)n1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CNc1nccc(Cl)n1', 'Brc1cnn2cccnc12']; ['CNc1nccc(Br)n1', 'OB(O)c1cnn2cccnc12', 'CNc1nccc(Cl)n1', 'OB(O)c1cnn2cccnc12', 'CNc1nccc(Cl)n1']; [0.9999867677688599, 0.9999117851257324, 0.9998958110809326, 0.9993956089019775, 0.9941385984420776]
+Oc1cncc(-c2cnn3cccnc23)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; ['Oc1cncc(Br)c1', 'Oc1cncc(I)c1', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Ic1cnn2cccnc12', 'Oc1cncc(Cl)c1', 'OB(O)c1cncc(O)c1', 'Oc1cncc(I)c1', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1', 'Oc1cncc(Br)c1', 'Oc1cncc(Cl)c1']; [0.9999991655349731, 0.9999991059303284, 0.9999974370002747, 0.9999798536300659, 0.9999771118164062, 0.9999378323554993, 0.9999233484268188, 0.999602198600769, 0.9981573820114136, 0.9951865077018738, 0.972672700881958]
+O=C1Cc2cc(-c3cnn4cccnc34)ccc2N1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'O=C1Cc2cc(I)ccc2N1', 'Ic1cnn2cccnc12', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'Brc1cnn2cccnc12', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(I)ccc2N1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1', 'Ic1cnn2cccnc12', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'OB(O)c1cnn2cccnc12', 'O=C1Cc2cc(Br)ccc2N1', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'O=C1Cc2cc(Br)ccc2N1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1']; [0.9999986886978149, 0.9999918937683105, 0.9999890327453613, 0.9999504089355469, 0.9999159574508667, 0.9999039173126221, 0.9995947480201721, 0.9994161128997803, 0.9993126392364502, 0.9991177320480347, 0.9990294575691223, 0.9989032745361328, 0.9909486770629883, 0.9894983768463135, 0.9749714136123657, 0.9656243324279785]
+COc1cc(CCc2cnn3cccnc23)cc(OC)c1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1cnn2cccnc12; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cnn4cccnc34)ccc12; [None]; [None]; [0]
-Oc1cc(-c2cnn3cccnc23)nc2ccnn12; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnn3cccnc23)c1C; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CCc1cc(O)c(F)cc1Br', 'CCc1cc(O)c(F)cc1Br']; ['CCc1cc(O)c(F)cc1Br', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1']; [1.0, 0.9999997019767761, 0.999957799911499, 0.9980303049087524]
+Cc1cc(O)ccc1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1I', 'Brc1cnn2cccnc12', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1Br', 'Brc1cnn2cccnc12', 'Cc1cc(O)ccc1I']; ['Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Cc1cc(O)ccc1Br', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Cc1cccc(O)c1', 'c1cnc2ccnn2c1']; [0.9999996423721313, 0.9999902248382568, 0.9999881982803345, 0.9999604821205139, 0.9999492764472961, 0.9999032020568848, 0.9996691942214966, 0.9995144605636597, 0.9988008141517639, 0.9984588027000427, 0.997186541557312, 0.919503390789032, 0.8957337141036987]
+CCc1cc(O)ccc1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnn2cccnc12', 'CCc1cc(O)ccc1Cl', 'CCc1cc(O)ccc1Br', 'Brc1cnn2cccnc12', 'CCc1cccc(O)c1']; ['CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'CCc1cc(O)ccc1Br', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'CCc1cccc(O)c1', 'Ic1cnn2cccnc12']; [0.999993085861206, 0.9999712705612183, 0.9997332096099854, 0.9995938539505005, 0.9986523389816284, 0.9971611499786377, 0.9963456392288208, 0.9638472199440002, 0.7976881265640259]
+CN(c1cccc(Cl)c1)c1cnn2cccnc12; ['CNc1cccc(Cl)c1', 'Brc1cnn2cccnc12']; ['Ic1cnn2cccnc12', 'CNc1cccc(Cl)c1']; [0.9976547360420227, 0.9053019285202026]
+Clc1cnccc1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Brc1cnn2cccnc12', 'Clc1cnccc1Br', 'Clc1cnccc1Br', 'Ic1cnn2cccnc12', 'Clc1cnccc1I']; ['Clc1cnccc1Br', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Clc1cnccc1I', 'Ic1cnn2cccnc12', 'OB(O)c1ccncc1Cl', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1ccncc1Cl', 'Ic1cnn2cccnc12']; [0.999997615814209, 0.9999961853027344, 0.9999911189079285, 0.9999570250511169, 0.9997907876968384, 0.9997148513793945, 0.9992759227752686, 0.9988750219345093, 0.9846614003181458]
+CCc1sccc1-c1cnn2cccnc12; [None]; [None]; [0]
+CNc1nc(-c2cnn3cccnc23)ncc1F; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CNc1nc(Cl)ncc1F']; ['CNc1nc(Cl)ncc1F', 'OB(O)c1cnn2cccnc12']; [0.9999994039535522, 0.999946117401123]
+FC(F)c1cc(-c2cnn3cccnc23)[nH]n1; [None]; [None]; [0]
+c1cnc2c(-c3ccc4c(c3)CCN4)cnn2c1; ['Brc1cnn2cccnc12', 'Brc1ccc2c(c1)CCN2', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Ic1ccc2c(c1)CCN2', 'Brc1ccc2c(c1)CCN2', 'Brc1ccc2c(c1)CCN2']; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12']; [1.0, 0.9999995231628418, 0.9999963641166687, 0.9999902248382568, 0.9999464154243469, 0.9997653961181641, 0.9993246793746948]
+Oc1c(Cl)cc(-c2cnn3cccnc23)cc1Cl; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Brc1cnn2cccnc12', 'Oc1c(Cl)cc(Br)cc1Cl', 'OB(O)c1cnn2cccnc12']; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Ic1cnn2cccnc12', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(I)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'c1cnc2ccnn2c1', 'Oc1c(Cl)cccc1Cl', 'c1cnc2ccnn2c1', 'Oc1c(Cl)cc(Cl)cc1Cl']; [0.9999997615814209, 0.999998927116394, 0.9999974966049194, 0.9999971389770508, 0.9998738169670105, 0.9997332692146301, 0.9994891881942749, 0.9987082481384277, 0.9958423376083374, 0.9101114869117737, 0.8155105113983154, 0.7964414358139038, 0.7707748413085938]
 Cc1oc(-c2cnn3cccnc23)cc1C(=O)[O-]; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)c1cnn2cccnc12; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2-c2cnn3cccnc23)cc1; [None]; [None]; [0]
+c1cnc2c(Nc3ccncc3)cnn2c1; ['Nc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Ic1ccncc1', 'Brc1ccncc1', 'Clc1ccncc1']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12']; [0.9999783039093018, 0.9998183250427246, 0.9996602535247803, 0.9996167421340942, 0.9990444183349609, 0.9972904324531555]
+O=c1[nH]c2ccc(-c3cnn4cccnc34)cc2[nH]1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'Brc1cnn2cccnc12', 'O=c1[nH]c2ccc(Cl)cc2[nH]1']; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'Ic1cnn2cccnc12', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'OB(O)c1cnn2cccnc12']; [1.0, 0.9999992847442627, 0.9999991655349731, 0.9999986886978149, 0.9999979734420776, 0.9999905824661255, 0.9999289512634277, 0.9999102354049683, 0.9994630217552185, 0.9925005435943604]
+Oc1cc(-c2cnn3cccnc23)nc2ccnn12; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Ic1cnn2cccnc12', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Cl', 'Brc1cnn2cccnc12', 'Fc1cccc(Br)c1', 'Brc1cnn2cccnc12']; ['Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Ic1cnn2cccnc12', 'Fc1cc(Br)ccc1Cl', 'OB(O)c1ccc(Br)cc1F', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Fc1cc(Br)ccc1I', 'OB(O)c1ccc(Br)cc1F', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Fc1cc(Br)ccc1Br', 'Ic1cnn2cccnc12', 'Fc1cccc(Br)c1']; [0.9999997019767761, 0.9999992251396179, 0.9999979138374329, 0.9999959468841553, 0.9999933242797852, 0.9999904632568359, 0.9999847412109375, 0.9999578595161438, 0.9999573230743408, 0.9999500513076782, 0.9998305439949036, 0.9997258186340332, 0.9997062683105469, 0.9992019534111023, 0.9988157749176025, 0.9984046220779419, 0.9873108863830566, 0.9109230041503906]
+Fc1ccc2n[nH]c(-c3cnn4cccnc34)c2c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnn2cccnc12; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'Brc1cnn2cccnc12', 'O=C(NC1CC1)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(Br)cc1', 'Ic1cnn2cccnc12', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'O=C(NC1CC1)c1ccc(Br)cc1', 'c1cnc2ccnn2c1']; [1.0, 1.0, 1.0, 1.0, 0.9999992847442627, 0.9999991655349731, 0.9999951124191284, 0.9999594688415527, 0.9997678995132446, 0.9990766048431396]
+Cc1cc(-c2cnn3cccnc23)cc(C)c1O; ['Brc1cnn2cccnc12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Brc1cnn2cccnc12', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cccc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Brc1cnn2cccnc12', 'Cc1cc(I)cc(C)c1O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Ic1cnn2cccnc12', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Cc1cc(B(O)O)cc(C)c1O', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Ic1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Cc1cccc(C)c1O', 'c1cnc2ccnn2c1']; [0.9999990463256836, 0.999997615814209, 0.9999933242797852, 0.999981164932251, 0.99974524974823, 0.9997063279151917, 0.9996963143348694, 0.9994932413101196, 0.9979699850082397, 0.9693462252616882, 0.9658292531967163, 0.9595999717712402, 0.9393739700317383, 0.7522963285446167]
+CN(c1cccc2[nH]ncc12)c1cnn2cccnc12; ['CNc1cccc2[nH]ncc12', 'Brc1cnn2cccnc12']; ['Ic1cnn2cccnc12', 'CNc1cccc2[nH]ncc12']; [0.9999715685844421, 0.9998760223388672]
+Oc1cc(Br)cc(-c2cnn3cccnc23)c1; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'OB(O)c1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Oc1cc(Br)cc(I)c1']; ['Oc1cc(Br)cc(I)c1', 'Ic1cnn2cccnc12', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'Oc1cc(Cl)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Cl)cc(Br)c1', 'c1cnc2ccnn2c1']; [0.9999998807907104, 0.999998927116394, 0.9999964237213135, 0.9999955892562866, 0.9999916553497314, 0.9999895691871643, 0.9999895095825195, 0.9999728202819824, 0.9993448853492737, 0.9971147775650024, 0.9476304054260254]
+Cc1cc(-c2cnn3cccnc23)ccc1C(N)=O; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Brc1cnn2cccnc12']; ['Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'Cc1cc(Br)ccc1C(N)=O']; [1.0, 1.0, 1.0, 1.0, 0.9999986886978149, 0.9999967813491821, 0.999991774559021, 0.9998894333839417, 0.9996927976608276]
+Cc1nc2ccc(-c3cnn4cccnc34)cc2o1; ['Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Cl)cc2o1', 'Brc1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Cl)cc2o1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Ic1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Cl)cc2o1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Cl)cc2o1', 'c1cnc2ccnn2c1', 'c1cnc2ccnn2c1']; [1.0, 1.0, 1.0, 1.0, 0.9999995231628418, 0.9999960660934448, 0.9999899864196777, 0.999870240688324, 0.9998062252998352, 0.9980486631393433, 0.9922561049461365, 0.8475877046585083]
+Oc1c(F)cc(-c2cnn3cccnc23)cc1F; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Brc1cnn2cccnc12', 'Oc1c(F)cc(Br)cc1F', 'Ic1cnn2cccnc12', 'Oc1c(F)cc(I)cc1F']; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Oc1c(F)cc(Br)cc1F', 'Ic1cnn2cccnc12', 'Oc1c(F)cc(I)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(Cl)cc1F', 'Oc1c(F)cccc1F', 'c1cnc2ccnn2c1', 'Oc1c(F)cccc1F', 'c1cnc2ccnn2c1']; [0.9999995231628418, 0.9999982714653015, 0.9999970197677612, 0.9999954700469971, 0.9998459219932556, 0.9997918605804443, 0.9997528195381165, 0.9996100664138794, 0.9987975358963013, 0.9942421317100525, 0.9905315041542053, 0.9675590991973877, 0.9615069627761841, 0.9140538573265076]
+c1ccc2c(COc3cnn4cccnc34)cccc2c1; ['Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OCc1cccc2ccccc12']; ['OCc1cccc2ccccc12', 'OCc1cccc2ccccc12', 'c1cnc2ccnn2c1']; [0.9938231706619263, 0.9115794897079468, 0.8666082620620728]
+Fc1ccc(-c2ncoc2-c2cnn3cccnc23)cc1; ['Brc1cnn2cccnc12']; ['Fc1ccc(-c2cocn2)cc1']; [0.9999573230743408]
+O=c1[nH][nH]c2cc(-c3cnn4cccnc34)ccc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12']; ['O=c1[nH][nH]c2cc(Br)ccc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1']; [0.9999998211860657, 0.9999731183052063, 0.9994632005691528]
+CSc1cccc(-c2cnn3cccnc23)c1; ['Brc1cnn2cccnc12', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'CSc1cccc(Br)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(B(O)O)c1', 'Brc1cnn2cccnc12', 'CSc1cccc(Br)c1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Br)c1', 'Ic1cnn2cccnc12', 'CSc1cccc(Cl)c1', 'CSc1cccc(B(O)O)c1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12', 'CSc1cccc(Br)c1', 'c1cnc2ccnn2c1']; [0.9999997615814209, 0.9999983310699463, 0.9999982118606567, 0.9999951124191284, 0.999901294708252, 0.9995631575584412, 0.9993876218795776, 0.9989840388298035, 0.9975895881652832, 0.9903759956359863]
+Cc1onc(-c2ccccc2)c1-c1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1I', 'Cc1onc(-c2ccccc2)c1I']; ['Cc1onc(-c2ccccc2)c1I', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'Ic1cnn2cccnc12']; [0.9999955892562866, 0.9999945163726807, 0.9999864101409912, 0.9997866153717041, 0.9735519886016846]
+Fc1ccc(Oc2cnn3cccnc23)c(F)c1; ['Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'OB(O)c1cnn2cccnc12']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999229907989502, 0.9989178776741028, 0.995719850063324]
+Fc1ccc(COc2cnn3cccnc23)c(F)c1; ['Ic1cnn2cccnc12']; ['OCc1ccc(F)cc1F']; [0.9999092817306519]
+Fc1cccc(Cl)c1CNc1cnn2cccnc12; ['CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Brc1cnn2cccnc12', 'Ic1cnn2cccnc12', 'Fc1cccc(Cl)c1CBr', 'Nc1cnn2cccnc12', 'O=Cc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CCl', 'N#Cc1c(F)cccc1Cl']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'Nc1cnn2cccnc12', 'O=Cc1c(F)cccc1Cl', 'O=[N+]([O-])c1cnn2cccnc12', 'Nc1cnn2cccnc12', 'Nc1cnn2cccnc12']; [1.0, 0.9999996423721313, 0.9999995231628418, 0.9999990463256836, 0.9999983310699463, 0.9999955296516418, 0.9999874830245972, 0.9992163181304932]
+CCOc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CCOc1ccc(Br)cc1', 'CCOc1ccc(F)cc1', 'CCOc1ccc(I)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9944623708724976, 0.9842532873153687, 0.9715052843093872]
+Fc1ccc(CCc2cnn3cccnc23)c(F)c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9817391633987427]
+c1ccc2nc(Nc3cc(C4CC4)[nH]n3)ncc2c1; ['Clc1ncc2ccccc2n1', 'Brc1ncc2ccccc2n1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999980926513672, 0.9999935626983643]
+CS(=O)(=O)c1cccc(Nc2cc(C3CC3)[nH]n2)c1; ['CS(=O)(=O)c1cccc(Br)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9999834299087524]
+COc1ncccc1Nc1cc(C2CC2)[nH]n1; ['COc1ncccc1Br', 'COc1ncccc1Cl', 'COc1ncccc1I', 'COc1ncccc1F']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9998782873153687, 0.9986022710800171, 0.9960289001464844, 0.9848796129226685]
+c1cnn2c(Nc3cc(C4CC4)[nH]n3)cnc2c1; ['Clc1cnc2cccnn12', 'Brc1cnc2cccnn12']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999991655349731, 0.9999977350234985]
+COc1cc(Nc2cc(C3CC3)[nH]n2)cc(OC)c1OC; ['COc1cc(Br)cc(OC)c1OC']; ['Nc1cc(C2CC2)[nH]n1']; [0.9980170726776123]
+Clc1ccc(-c2[nH]ncc2-c2cnn3cccnc23)cc1; [None]; [None]; [0]
+c1ccc2c(CCc3cnn4cccnc34)c[nH]c2c1; [None]; [None]; [0]
+COc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['COc1ccc(F)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9260819554328918, 0.9067448377609253, 0.8770418167114258]
+N#Cc1ccc(O)c(Nc2cc(C3CC3)[nH]n2)c1; ['N#Cc1ccc(O)c(I)c1', 'CCOc1cc(C#N)ccc1O', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(Br)c1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9994269609451294, 0.9993802905082703, 0.9992783069610596, 0.9992496967315674]
+Oc1cccc(Nc2cc(C3CC3)[nH]n2)c1; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; ['Oc1cccc(Br)c1', 'Oc1cccc(Cl)c1', 'Oc1cccc(I)c1']; [0.9928750991821289, 0.9852980375289917, 0.9695760011672974]
+c1cc(N2CCOCC2)ccc1Nc1cc(C2CC2)[nH]n1; ['Nc1cc(C2CC2)[nH]n1', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999988079071045, 0.9997678995132446, 0.9994808435440063]
+c1ccc2[nH]c(Nc3cc(C4CC4)[nH]n3)nc2c1; ['Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.996617317199707, 0.9940914511680603]
 Cc1nc(C(C)(C)O)sc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2cc(C3CC3)[nH]n2)c1)C1CC1; ['Nc1cc(C2CC2)[nH]n1']; ['O=C(Nc1cccc(Br)c1)C1CC1']; [0.9998635053634644]
+c1ccc2c(Nc3cc(C4CC4)[nH]n3)nccc2c1; ['Clc1nccc2ccccc12', 'Brc1nccc2ccccc12']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9998751878738403, 0.9989261627197266]
+Cc1ccc2ncn(Nc3cc(C4CC4)[nH]n3)c2c1; [None]; [None]; [0]
+NC(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9933919906616211, 0.9814721345901489]
+N#Cc1cccc(Cn2cc(Nc3cc(C4CC4)[nH]n3)cn2)c1; [None]; [None]; [0]
+O=C([O-])c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['Nc1cc(C2CC2)[nH]n1']; ['O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9881057739257812]
+c1cc(Nc2cc(C3CC3)[nH]n2)cc(C2CCNCC2)c1; ['Brc1cccc(C2CCNCC2)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9994791150093079]
+O=C(c1ccc(Nc2cc(C3CC3)[nH]n2)nc1)N1CCOCC1; ['Nc1cc(C2CC2)[nH]n1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999973773956299]
+CC(=O)NCc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CC(=O)NCc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.8752908706665039]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3cc(C4CC4)[nH]n3)cc2)CC1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(Nc3cc(C4CC4)[nH]n3)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(Nc2cc(C3CC3)[nH]n2)nc(N)n1; [None]; [None]; [0]
+O=C(c1ccc(Nc2cc(C3CC3)[nH]n2)cc1)N1CCOCC1; ['Nc1cc(C2CC2)[nH]n1']; ['O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9998382329940796]
+OCCOc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; ['OCCOc1ccc(Br)cc1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(Cl)cc1']; [0.999470591545105, 0.9994670152664185, 0.9959428310394287]
+c1cnc(NNc2cc(C3CC3)[nH]n2)nc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.901045560836792]
+FC(F)(F)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'Fc1ccc(C(F)(F)F)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9914227724075317, 0.9792352914810181, 0.7802084684371948]
+C[C@H](O)COc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
+Oc1ccccc1CNc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CN(C)c1ccc(F)cc1', 'CN(C)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9986644983291626, 0.9968686103820801]
+CN(C)S(=O)(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9990327954292297, 0.9965827465057373]
+CS(=O)(=O)N1CCC(Nc2cc(C3CC3)[nH]n2)CC1; ['CS(=O)(=O)N1CCC(=O)CC1']; ['Nc1cc(C2CC2)[nH]n1']; [0.999825119972229]
+C[C@@H](O)COc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(Nc3cc(C4CC4)[nH]n3)cc2C1; ['Nc1cc(C2CC2)[nH]n1']; ['O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999849200248718]
+Nc1ncc(CNc2cc(C3CC3)[nH]n2)cn1; ['Nc1cc(C2CC2)[nH]n1']; ['Nc1ncc(C=O)cn1']; [0.9472793936729431]
+CCNS(=O)(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9425241947174072]
+CC(C)c1cc(Nc2cc(C3CC3)[nH]n2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9984351992607117]
+Brc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['Brc1ccc(Br)cc1', 'Fc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9765910506248474, 0.9493952989578247]
+CCCOc1ccc(Nc2cc(C3CC3)[nH]n2)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9997572302818298]
+COc1ccc(CNc2cc(C3CC3)[nH]n2)cc1; ['COc1ccc(CO)cc1', 'COc1ccc(CBr)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9940888285636902, 0.8676820993423462]
+CN(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1Cl; ['CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(F)cc1Cl']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999355673789978, 0.9994216561317444]
+Cc1nc(C)c(Nc2cc(C3CC3)[nH]n2)s1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(Nc3cc(C4CC4)[nH]n3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2cc(C3CC3)[nH]n2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(Nc3cc(C4CC4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
+c1cc2nc(Nc3cc(C4CC4)[nH]n3)ccn2n1; ['Clc1ccn2nccc2n1', 'Clc1ccn2nccc2n1', 'Brc1ccn2nccc2n1']; ['Nc1cc(C2CC2)n[nH]1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999974966049194, 0.9999889135360718, 0.9999465942382812]
+CNS(=O)(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9976990222930908]
+CCN(CC)C(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(F)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9993115067481995, 0.9985494613647461, 0.9955565929412842, 0.9911839962005615]
+O=C(c1ccccc1)N1CC[C@H](Nc2cc(C3CC3)[nH]n2)C1; [None]; [None]; [0]
+COc1ccc(Cl)cc1Nc1cc(C2CC2)[nH]n1; ['COc1ccc(Cl)cc1F', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Br']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999080896377563, 0.9997583627700806, 0.99965900182724]
+c1ccc(-n2cccn2)c(Nc2cc(C3CC3)[nH]n2)c1; ['Nc1cc(C2CC2)[nH]n1', 'Brc1ccccc1-n1cccn1', 'Fc1ccccc1-n1cccn1', 'Clc1ccccc1-n1cccn1']; ['OB(O)c1ccccc1-n1cccn1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999977946281433, 0.9999937415122986, 0.9999923706054688, 0.9999754428863525]
+Cc1c(Nc2cc(C3CC3)[nH]n2)cccc1C(=O)[O-]; [None]; [None]; [0]
+COc1cc(OC)c(Nc2cc(C3CC3)[nH]n2)cc1Cl; ['COc1cc(OC)c(Br)cc1Cl']; ['Nc1cc(C2CC2)[nH]n1']; [0.9984762072563171]
+c1ccc2c(Nc3cc(C4CC4)[nH]n3)c[nH]c2c1; ['Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Nc1cc(C2CC2)[nH]n1', 'Clc1c[nH]c2ccccc12']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'OB(O)c1c[nH]c2ccccc12', 'Nc1cc(C2CC2)[nH]n1']; [0.9988634586334229, 0.9985862970352173, 0.9951609969139099, 0.994564950466156]
+c1cc2c(cc1Nc1cc(C3CC3)[nH]n1)CCO2; ['Nc1cc(C2CC2)[nH]n1', 'Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'Clc1ccc2c(c1)CCO2']; ['OB(O)c1ccc2c(c1)CCO2', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999960660934448, 0.999962329864502, 0.9998099207878113, 0.9987931251525879]
+c1ccc(-c2cc(Nc3cc(C4CC4)[nH]n3)n[nH]2)cc1; [None]; [None]; [0]
+c1cc(Nc2cc(C3CC3)[nH]n2)c2c(c1)OCO2; ['Nc1cc(C2CC2)[nH]n1', 'Brc1cccc2c1OCO2', 'Fc1cccc2c1OCO2', 'Ic1cccc2c1OCO2']; ['OB(O)c1cccc2c1OCO2', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9967213869094849, 0.9963825941085815, 0.9938974976539612, 0.9926884174346924]
+COc1cc(Nc2cc(C3CC3)[nH]n2)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1ccccc1O']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9981582164764404, 0.9968670606613159, 0.9945192337036133, 0.9837579727172852]
 COc1cc(C(=O)N2CCOCC2)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-Nc1cc(Nc2cc(C3CC3)[nH]n2)c2cc[nH]c2n1; [None]; [None]; [0]
+CC(=O)Nc1cccc(Nc2cc(C3CC3)[nH]n2)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9994173049926758, 0.9981672763824463, 0.9886895418167114]
+CC(C)c1ccc2nc(Nc3cc(C4CC4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(F)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9930285811424255, 0.987478494644165, 0.9313228130340576]
+Fc1ccc2nc(CNc3cc(C4CC4)[nH]n3)[nH]c2c1F; [None]; [None]; [0]
+c1ccc2ncc(Nc3cc(C4CC4)[nH]n3)cc2c1; ['Ic1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9995771646499634, 0.99603271484375]
+CN(C)C(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(F)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999533891677856, 0.9982810616493225, 0.994693398475647, 0.9916252493858337, 0.9848529696464539]
+CC(C)(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cn1; ['CC(C)(C)c1ccc(Br)cn1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9992862939834595]
+c1ccc2[nH]c(CNc3cc(C4CC4)[nH]n3)nc2c1; ['Nc1cc(C2CC2)[nH]n1', 'ClCc1nc2ccccc2[nH]1', 'BrCc1nc2ccccc2[nH]1']; ['O=Cc1nc2ccccc2[nH]1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9986394047737122, 0.9968810081481934, 0.9929640889167786]
+Fc1ccc2[nH]c(CNc3cc(C4CC4)[nH]n3)nc2c1F; [None]; [None]; [0]
+Nc1nc(Nc2cc(C3CC3)[nH]n2)cs1; [None]; [None]; [0]
+Cc1ccc(Nc2cc(C3CC3)[nH]n2)c(=O)[nH]1; ['Cc1ccc(I)c(=O)[nH]1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9931823015213013]
+c1c(Nc2scc3c2OCCO3)n[nH]c1C1CC1; [None]; [None]; [0]
+c1ccc(CCCNc2cc(C3CC3)[nH]n2)cc1; ['Nc1cc(C2CC2)[nH]n1', 'Ic1cc(C2CC2)[nH]n1', 'BrCCCc1ccccc1', 'ICCCc1ccccc1', 'Nc1cc(C2CC2)[nH]n1']; ['O=CCCc1ccccc1', 'NCCCc1ccccc1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'OCCCc1ccccc1']; [0.9933212995529175, 0.9718924760818481, 0.9233030080795288, 0.9207128286361694, 0.8852283954620361]
+COc1cccc(C(=O)NNc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
+CSc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9997909665107727, 0.9874547719955444]
+CCN1CCN(Cc2ccc(Nc3cc(C4CC4)[nH]n3)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9488469362258911]
+CC[C@@H](CO)Nc1cc(C2CC2)[nH]n1; ['CC[C@H](N)CO']; ['Oc1cc(C2CC2)[nH]n1']; [0.97816002368927]
+Cc1cc(Nc2cc(C3CC3)[nH]n2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9990017414093018]
+Clc1cccc(-n2ccc(Nc3cc(C4CC4)[nH]n3)n2)c1; [None]; [None]; [0]
+Fc1ccc(Nc2cc(C3CC3)[nH]n2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1', 'Nc1cc(C2CC2)[nH]n1', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(Cl)c(Cl)c1', 'Fc1ccc(F)c(Cl)c1']; ['Nc1cc(C2CC2)[nH]n1', 'OB(O)c1ccc(F)cc1Cl', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999877214431763, 0.9999724626541138, 0.9998829364776611, 0.9947882294654846, 0.9946663975715637]
+OC[C@H](Cc1ccccc1)Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
+Brc1cnc(Nc2cc(C3CC3)[nH]n2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.999993085861206, 0.9999861717224121, 0.9999551773071289, 0.9999485611915588, 0.9987920522689819, 0.9942175149917603, 0.9622055292129517]
+O=C1CCc2cc(Nc3cc(C4CC4)[nH]n3)ccc2N1; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; ['O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1', 'O=C1CCc2cc(F)ccc2N1', 'O=C1CCc2cc(I)ccc2N1']; [0.9992430806159973, 0.9975599646568298, 0.9959493279457092, 0.9951524138450623]
+COc1ccc(Nc2cc(C3CC3)[nH]n2)cc1OC; ['COc1ccc(F)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Cl)cc1OC']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9984839558601379, 0.9982278347015381, 0.9918650388717651]
+CCc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(F)cc1', 'CCc1ccc(Cl)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9906757473945618, 0.9869791269302368, 0.9848759174346924, 0.9743735790252686]
+c1ncn(CCCNc2cc(C3CC3)[nH]n2)n1; [None]; [None]; [0]
+c1ccc2sc(Nc3cc(C4CC4)[nH]n3)cc2c1; [None]; [None]; [0]
+Clc1ccc(Nc2cc(C3CC3)[nH]n2)c(Cl)c1; ['Clc1ccc(Br)c(Cl)c1', 'Nc1cc(C2CC2)[nH]n1', 'Clc1ccc(I)c(Cl)c1', 'Fc1ccc(Cl)cc1Cl', 'Clc1ccc(Cl)c(Cl)c1']; ['Nc1cc(C2CC2)[nH]n1', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.999971866607666, 0.9999366998672485, 0.9997972846031189, 0.9992945790290833, 0.9963517785072327]
+COc1cc(Nc2cc(C3CC3)[nH]n2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [1.0, 0.9999993443489075]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
+c1ccn2nc(Nc3cc(C4CC4)[nH]n3)cc2c1; ['Brc1cc2ccccn2n1', 'Clc1cc2ccccn2n1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9997409582138062, 0.9993619918823242]
+Cn1cc(Nc2cc(C3CC3)[nH]n2)c(C(F)(F)F)n1; ['Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999988079071045, 0.9999963045120239, 0.9999871253967285]
+CC1(C)Cc2cc(Nc3cc(C4CC4)[nH]n3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(Nc3cc(C4CC4)[nH]n3)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9987838268280029]
+Oc1ccc2cccc(Nc3cc(C4CC4)[nH]n3)c2c1; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; ['Oc1ccc2cccc(Br)c2c1', 'Oc1ccc2cccc(I)c2c1']; [0.9996360540390015, 0.998526930809021]
+Cc1csc2c(Nc3cc(C4CC4)[nH]n3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1cc(C2CC2)[nH]n1']; [0.9999765753746033]
+COc1cc(Nc2cc(C3CC3)[nH]n2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.999947190284729, 0.9995440244674683, 0.999366044998169, 0.9978002309799194, 0.8438766002655029]
+COc1cc(F)c(Nc2cc(C3CC3)[nH]n2)cc1OC; ['COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(F)cc1OC']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999797344207764, 0.9999756813049316]
+Clc1cnc(Nc2cc(C3CC3)[nH]n2)nc1; ['Clc1cnc(Cl)nc1', 'Clc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Cl)cn1', 'CSc1ncc(Cl)cn1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999551773071289, 0.999940037727356, 0.9950430393218994, 0.9864157438278198]
+c1cc2cnc(Nc3cc(C4CC4)[nH]n3)nn2c1; [None]; [None]; [0]
+OCCn1cc(Nc2cc(C3CC3)[nH]n2)cn1; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; ['OCCn1cc(I)cn1', 'OCCn1cc(Br)cn1']; [0.9999918937683105, 0.9999397397041321]
+CNC(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Cl)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999545812606812, 0.9923964738845825, 0.9868706464767456, 0.9217857122421265]
+COc1ccc(OC)c(CNc2cc(C3CC3)[nH]n2)c1; ['COc1ccc(OC)c(C=O)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CBr)c1', 'COc1ccc(OC)c(CCl)c1']; ['Nc1cc(C2CC2)[nH]n1', 'Ic1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9788486957550049, 0.9746972918510437, 0.9401255249977112, 0.9016082286834717]
+CCNC(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)nc1; ['CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc(Cl)nc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9982573390007019, 0.989972710609436]
+COc1cc(Nc2cc(C3CC3)[nH]n2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9990339279174805, 0.998825192451477, 0.9809951782226562]
+CO[C@@H]1CC[C@@H](Nc2cc(C3CC3)[nH]n2)CC1; ['CO[C@H]1CC[C@H](N)CC1']; ['Ic1cc(C2CC2)[nH]n1']; [0.988017201423645]
 COc1cc(CS(C)(=O)=O)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
+COc1cc(Nc2cc(C3CC3)[nH]n2)cc(OC)c1; ['COc1cc(F)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9976010322570801, 0.9880702495574951, 0.9688212871551514]
 COc1ccc2c(c1)c(Nc1cc(C3CC3)[nH]n1)cn2C; [None]; [None]; [0]
+c1cc2cn[nH]c2cc1Nc1cc(C2CC2)[nH]n1; ['Nc1cc(C2CC2)[nH]n1', 'Ic1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'Fc1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1']; ['OB(O)c1ccc2cn[nH]c2c1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999983310699463, 0.9999034404754639, 0.9997763633728027, 0.9993717670440674, 0.9878098964691162]
+O=C(Nc1cn[nH]c1)c1cccc(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(Nc2cc(C3CC3)[nH]n2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(Nc2cc(C3CC3)[nH]n2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9953453540802002]
+CCn1cc(Nc2cc(C3CC3)[nH]n2)cn1; ['CCn1cc(B(O)O)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999589920043945, 0.9994574785232544, 0.9979941844940186]
+Nc1cc(Nc2cc(C3CC3)[nH]n2)c2cc[nH]c2n1; [None]; [None]; [0]
+c1cc2nc(Nc3cc(C4CC4)[nH]n3)ncc2s1; ['Clc1ncc2sccc2n1']; ['Nc1cc(C2CC2)[nH]n1']; [1.0]
+COc1ccc2oc(Nc3cc(C4CC4)[nH]n3)cc2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1Nc1cc(C2CC2)[nH]n1; ['CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1I']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9997910261154175, 0.9986687898635864]
+c1cncc(-c2ccnc(Nc3cc(C4CC4)[nH]n3)c2)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NNc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(Nc3cc(C4CC4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'Fc1ccc(OC(F)(F)F)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9997963905334473, 0.9993257522583008, 0.9570256471633911]
+c1ccc2oc(Nc3cc(C4CC4)[nH]n3)cc2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2cc(C3CC3)[nH]n2)c1)N1CCCC1; [None]; [None]; [0]
+Cn1cc(Nc2cc(C3CC3)[nH]n2)c2ccccc21; [None]; [None]; [0]
+CCc1cccc(Nc2cc(C3CC3)[nH]n2)n1; ['CCc1cccc(Br)n1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9983503818511963]
 c1c(Nc2ncn3c2CCCC3)n[nH]c1C1CC1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(Nc3cc(C4CC4)[nH]n3)cn2)CC1; [None]; [None]; [0]
+Cn1ncc2cc(Nc3cc(C4CC4)[nH]n3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Cl)ccc21']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999998807907104, 0.9999986886978149, 0.9999943375587463, 0.9999111890792847]
+CN(C)c1ccc(Nc2cc(C3CC3)[nH]n2)cn1; ['CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999707937240601, 0.9999277591705322]
+COc1ccc2nc(Nc3cc(C4CC4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(Nc3cc(C4CC4)[nH]n3)ccc21; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(Nc3cc(C4CC4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
 O=C(NNc1cc(C2CC2)[nH]n1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cc1cc(Nc2cc(C3CC3)[nH]n2)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1n[nH]c2cc(Nc3cc(C4CC4)[nH]n3)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(F)ccc12']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9999960064888, 0.9999262094497681, 0.999741792678833, 0.9993315935134888]
+OCCc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; ['OCCc1ccc(Br)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Cl)cc1', 'OCCc1ccc(F)cc1']; [0.9950479865074158, 0.9943832159042358, 0.9782540798187256, 0.8675785660743713]
+O=C1CCCN1c1cccc(Nc2cc(C3CC3)[nH]n2)c1; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; ['O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Cl)c1']; [0.9998716115951538, 0.9998354911804199]
+CN(C)C(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1Nc1cc(C2CC2)[nH]n1; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Nc1cc(C2CC2)[nH]n1']; [0.9999432563781738]
 Cc1ncc(-c2ccc(Nc3cc(C4CC4)[nH]n3)cc2)n1C; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(Nc3cc(C4CC4)[nH]n3)cn2)CC1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9958345890045166]
+Cc1cc(N2CCOCC2)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(I)cc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.900711178779602, 0.7878860831260681]
+CN(C)C(=O)c1ccc(Nc2cc(C3CC3)[nH]n2)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1cc(C2CC2)[nH]n1', 'Nc1cc(C2CC2)[nH]n1']; [0.9994281530380249, 0.998116135597229]
+CS(=O)(=O)c1ccc(Cl)c(Nc2cc(C3CC3)[nH]n2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9999486804008484]
+CCNC(=O)Cc1ccc(Nc2cc(C3CC3)[nH]n2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1cc(C2CC2)[nH]n1']; [0.9996587038040161]
 Cn1nc(Nc2cc(C3CC3)[nH]n2)cc1C(C)(C)O; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-CCOc1ccccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(Nc2cc(C3CC3)[nH]n2)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1ncnc2[nH]cc(Cl)c12; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9992698431015015, 0.9884510040283203]
+Cc1ccc(C(=O)NCCO)cc1Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ncnc2[nH]cc(Cl)c12; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1Br']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncncc12']; [0.9736643433570862, 0.9024181962013245]
+CC(C)S(=O)(=O)c1ccccc1-c1ncnc2[nH]cc(Cl)c12; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.9965698719024658]
+Clc1c[nH]c2ncnc(-c3ccnc4ccccc34)c12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccnc2ccccc12']; [0.9999308586120605, 0.9704252481460571]
+C[C@H](CS(C)(=O)=O)Nc1cc(C2CC2)[nH]n1; [None]; [None]; [0]
+CCn1cc(-c2ncnc3[nH]cc(Cl)c23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.9999755620956421]
+CP(C)(=O)c1ccccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ncnc2[nH]cc(Cl)c12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999216794967651, 0.998132586479187]
+FC(F)(F)c1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; ['Clc1c[nH]c2ncnc(Cl)c12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['OB(O)c1cccc(C(F)(F)F)c1', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9999251365661621, 0.9998739957809448]
 COC(C)(C)CCc1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ncnc2[nH]cc(Cl)c12; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'NC(=O)c1ccccc1B(O)O']; [0.9994240999221802, 0.7747204303741455]
 Cc1nnc(-c2ccccc2-c2ncnc3[nH]cc(Cl)c23)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3ccccc3Br)c12; [None]; [None]; [0]
 O=C([O-])c1ccccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3cnn(Cc4ccccc4)c3)c12; [None]; [None]; [0]
+Clc1c[nH]c2ncnc(-c3cnn(Cc4ccccc4)c3)c12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999963045120239, 0.9999401569366455]
+Fc1cc(F)cc(Cc2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ncnc4[nH]cc(Cl)c34)cc2c1=O; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1)c1ccccc1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.999732255935669, 0.9988563656806946]
+OCCn1cc(-c2ncnc3[nH]cc(Cl)c23)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OCCn1cc(B(O)O)cn1']; [0.9998927116394043, 0.9992090463638306]
+Clc1ccc(Cl)c(-c2ncnc3[nH]cc(Cl)c23)c1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999194145202637, 0.9711370468139648]
+CC(C)C(=O)COc1ncnc2[nH]cc(Cl)c12; ['CC(C)C(=O)CBr', 'CC(C)C(=O)CCl']; ['Oc1ncnc2[nH]cc(Cl)c12', 'Oc1ncnc2[nH]cc(Cl)c12']; [0.9883891344070435, 0.9778422713279724]
+Cc1ccc(-c2ncnc3[nH]cc(Cl)c23)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.9786489009857178]
 Clc1c[nH]c2ncnc(-c3cnc(-c4ccccc4)[nH]3)c12; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-OCCn1cc(-c2ncnc3[nH]cc(Cl)c23)cn1; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2ncnc3[nH]cc(Cl)c23)cs1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+CNc1nc(C)c(-c2ncnc3[nH]cc(Cl)c23)s1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ncnc3[nH]cc(Cl)c23)s1; [None]; [None]; [0]
 COc1cnc(-c2ncnc3[nH]cc(Cl)c23)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-Cc1ccc(-c2ncnc3[nH]cc(Cl)c23)c(Br)c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ncnc2[nH]cc(Cl)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9852110147476196]
 Cc1nc2ccccn2c1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3cnc4ccccn34)c12; [None]; [None]; [0]
-Cc1nc(C)c(-c2ncnc3[nH]cc(Cl)c23)s1; [None]; [None]; [0]
-CNc1nc(C)c(-c2ncnc3[nH]cc(Cl)c23)s1; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3ccnc4ccccc34)c12; [None]; [None]; [0]
 Cc1nc(N)sc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3cnc4cccnn34)c12; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+Clc1c[nH]c2ncnc(-c3cccc(Br)c3)c12; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cccc(Br)c1']; [0.9998844861984253, 0.9993696808815002]
+Cc1ccc(Cl)c(-c2ncnc3[nH]cc(Cl)c23)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9995089173316956, 0.9682102203369141]
+Clc1c[nH]c2ncnc(NCc3cccnc3)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['NCc1cccnc1']; [0.9998921155929565]
 Clc1c[nH]c2ncnc(-c3cccc(Cn4cncn4)c3)c12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(NCc3cccnc3)c12; [None]; [None]; [0]
-Cc1c(-c2ncnc3[nH]cc(Cl)c23)sc(=O)n1C; [None]; [None]; [0]
-Nc1nccc(-c2ncnc3[nH]cc(Cl)c23)n1; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3cnn4ncccc34)c12; [None]; [None]; [0]
-COc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3ccc4ccccc4c3)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(Nc3cccnc3)c12; [None]; [None]; [0]
+Clc1c[nH]c2ncnc(-c3cnn4ncccc34)c12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.99953693151474]
+Clc1c[nH]c2ncnc(-c3cnc4ccccn34)c12; [None]; [None]; [0]
+Clc1c[nH]c2ncnc(-c3ccc4ccccc4c3)c12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccc2ccccc2c1']; [0.9996635913848877, 0.9993488788604736]
+Clc1c[nH]c2ncnc(NCCc3c[nH]cn3)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['NCCc1c[nH]cn1']; [0.9916191101074219]
+Clc1c[nH]c2ncnc(Nc3cccnc3)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['Nc1cccnc1']; [0.999836802482605]
+Clc1c[nH]c2ncnc(-c3cnc4cccnn34)c12; [None]; [None]; [0]
+O=C(Nc1ncnc2[nH]cc(Cl)c12)c1cccs1; ['Clc1c[nH]c2ncnc(Cl)c12']; ['NC(=O)c1cccs1']; [0.8910027742385864]
 Clc1c[nH]c2ncnc(-n3cnc4ccccc43)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(NCCc3c[nH]cn3)c12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ncnc3[nH]cc(Cl)c23)o1; [None]; [None]; [0]
-O=C(Nc1ncnc2[nH]cc(Cl)c12)c1cccs1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1ncnc2[nH]cc(Cl)c12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.9998146295547485]
+Clc1c[nH]c2ncnc(NCCc3ccccc3)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['NCCc1ccccc1']; [0.9988319277763367]
+Clc1c[nH]c2ncnc(-c3cncc4ccccc34)c12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cncc2ccccc12']; [0.9999909400939941, 0.9888918995857239]
+NC(=O)c1c(F)cccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+Nc1nccc(-c2ncnc3[nH]cc(Cl)c23)n1; [None]; [None]; [0]
+Cc1c(-c2ncnc3[nH]cc(Cl)c23)sc(=O)n1C; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ncnc4[nH]cc(Cl)c34)cc2)cn1; ['Clc1c[nH]c2ncnc(Cl)c12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [0.9999988079071045]
+Cn1ncc2cc(-c3ncnc4[nH]cc(Cl)c34)ccc21; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; [0.999992847442627, 0.9999655485153198]
+Clc1ccc(CNc2ncnc3[nH]cc(Cl)c23)cc1; ['Clc1c[nH]c2ncnc(Cl)c12']; ['NCc1ccc(Cl)cc1']; [0.9999713897705078]
 O=C([O-])Cc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3cncc4ccccc34)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(NCCc3ccccc3)c12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3ncnc4[nH]cc(Cl)c34)cc2)cn1; [None]; [None]; [0]
+Oc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; ['Clc1c[nH]c2ncnc(Cl)c12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['OB(O)c1cccc(O)c1', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9965798854827881, 0.9743977785110474]
+Clc1c[nH]c2ncnc(-c3ccc(-c4cn[nH]c4)cc3)c12; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999962449073792, 0.9997912645339966]
 Nc1[nH]nc2cc(-c3ncnc4[nH]cc(Cl)c34)ccc12; [None]; [None]; [0]
-CN1c2ccc(-c3ncnc4[nH]cc(Cl)c34)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3ncnc4[nH]cc(Cl)c34)ccc21; [None]; [None]; [0]
+OCc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OCc1cccc(B(O)O)c1']; [0.9921116828918457, 0.9522063732147217]
+Fc1ccccc1CNc1ncnc2[nH]cc(Cl)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['NCc1ccccc1F']; [0.9996809959411621]
+Clc1c[nH]c2ncnc(Nc3ccncc3)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['Nc1ccncc1']; [0.9998500347137451]
 CCCn1cnc(-c2ncnc3[nH]cc(Cl)c23)n1; [None]; [None]; [0]
-Oc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
-OCc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
+CN1c2ccc(-c3ncnc4[nH]cc(Cl)c34)cc2CS1(=O)=O; [None]; [None]; [0]
+Clc1c[nH]c2ncnc(-c3csc4ncncc34)c12; [None]; [None]; [0]
 COc1cc(-c2ncnc3[nH]cc(Cl)c23)ccc1C(=O)[O-]; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(Nc3ccncc3)c12; [None]; [None]; [0]
 CC(C)n1cc(-c2ncnc3[nH]cc(Cl)c23)nn1; [None]; [None]; [0]
 CSc1nc(-c2ncnc3[nH]cc(Cl)c23)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; ['Clc1c[nH]c2ncnc(Cl)c12']; ['N#CCCc1cccc(B(O)O)c1']; [0.9952443838119507]
 CC(C)c1oncc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
 Clc1c[nH]c2ncnc(CCc3c[nH]nn3)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3csc4ncncc34)c12; [None]; [None]; [0]
-N#CCCc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.9999475479125977]
+Nc1ncncc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+Fc1ccc(-c2ncnc3[nH]cc(Cl)c23)c(C(F)(F)F)c1; ['Clc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9995789527893066]
+Clc1c[nH]c2ncnc(Oc3ccccn3)c12; ['Brc1ccccn1', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Oc1ncnc2[nH]cc(Cl)c12', 'Oc1ccccn1']; [0.9919610023498535, 0.9192242622375488]
+Clc1c[nH]c2ncnc(-c3cc4ccccc4[nH]3)c12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9985237121582031, 0.996120810508728]
+Nc1nc(-c2ncnc3[nH]cc(Cl)c23)cs1; [None]; [None]; [0]
+Cn1cc(-c2ncnc3[nH]cc(Cl)c23)c2ccccc21; ['Clc1c[nH]c2ncnc(Cl)c12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.999718427658081]
+O=C(Nc1ncnc2[nH]cc(Cl)c12)c1c(Cl)cccc1Cl; ['Clc1c[nH]c2ncnc(Cl)c12']; ['NC(=O)c1c(Cl)cccc1Cl']; [0.9656791687011719]
+CS(=O)(=O)C1CCN(c2ncnc3[nH]cc(Cl)c23)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.9880179166793823]
 CCNc1nc2ccc(-c3ncnc4[nH]cc(Cl)c34)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; [None]; [None]; [0]
-Fc1ccc(-c2ncnc3[nH]cc(Cl)c23)c(C(F)(F)F)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
+Clc1c[nH]c2ncnc(-c3cnn4ccccc34)c12; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cnn2ccccc12']; [0.9994047284126282, 0.9927738308906555]
+COc1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9999361038208008, 0.9992666244506836]
+CCCn1cc(-c2ncnc3[nH]cc(Cl)c23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.999993085861206, 0.9998366236686707]
 CC(C)(O)CC(=O)NCCc1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-O=C(Nc1ncnc2[nH]cc(Cl)c12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-Cn1cc(-c2ncnc3[nH]cc(Cl)c23)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ncnc3[nH]cc(Cl)c23)CC1; [None]; [None]; [0]
 CC(C)(COc1ncnc2[nH]cc(Cl)c12)S(C)(=O)=O; [None]; [None]; [0]
-COc1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1Cl; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3cnn4ccccc34)c12; [None]; [None]; [0]
+O=c1cc(-c2ncnc3[nH]cc(Cl)c23)cc[nH]1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Clc1c[nH]c2ncncc12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'O=c1cc(I)cc[nH]1']; [0.9998029470443726, 0.9092576503753662]
+NC(=O)CCCc1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; [None]; [None]; [0]
+C[C@@H](Oc1ncnc2[nH]cc(Cl)c12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.9857856035232544]
+CCN(CC)c1ncnc2[nH]cc(Cl)c12; ['CCNCC']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.9599670767784119]
 [NH3+]Cc1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1C(F)(F)F; [None]; [None]; [0]
-CCCn1cc(-c2ncnc3[nH]cc(Cl)c23)cn1; [None]; [None]; [0]
-O=c1cc(-c2ncnc3[nH]cc(Cl)c23)cc[nH]1; [None]; [None]; [0]
 O=C1CCc2cccc(-c3ncnc4[nH]cc(Cl)c34)c21; [None]; [None]; [0]
+COc1ccncc1Nc1ncnc2[nH]cc(Cl)c12; ['COc1ccncc1N']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.999801516532898]
 COc1cc(CCc2ncnc3[nH]cc(Cl)c23)cc(OC)c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; [None]; [None]; [0]
-C[C@@H](Oc1ncnc2[nH]cc(Cl)c12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-CCN(CC)c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
 O=c1[nH]ccc2oc(-c3ncnc4[nH]cc(Cl)c34)cc12; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.99992835521698, 0.9978272914886475]
+Clc1c[nH]c2ncnc(Nc3cnccc3-c3ccccc3)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['Nc1cnccc1-c1ccccc1']; [0.9996339082717896]
+CC(C)Oc1cncc(-c2ncnc3[nH]cc(Cl)c23)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9999982118606567, 0.999604344367981]
+COc1cccc(F)c1-c1ncnc2[nH]cc(Cl)c12; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9999508857727051, 0.9968581199645996]
+Clc1c[nH]c2ncnc(Nc3cnc4ccccc4c3)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['Nc1cnc2ccccc2c1']; [0.9964016675949097]
+Clc1c[nH]c2ncnc(-c3c[nH]c4cnccc34)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1c[nH]c2cnccc12']; [0.9971221685409546]
+Clc1c[nH]c2ncnc(-c3cnc4[nH]ccc4c3)c12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999966621398926, 0.9996775388717651]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9999799728393555, 0.9992185235023499]
+CNS(=O)(=O)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.999922513961792, 0.9989749193191528]
 O=c1[nH]cc(Br)c2sc(-c3ncnc4[nH]cc(Cl)c34)cc12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3c[nH]c4ccccc34)c12; [None]; [None]; [0]
-COc1ccncc1Nc1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(Nc3cnccc3-c3ccccc3)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3c[nH]c4cnccc34)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(Nc3cnc4ccccc4c3)c12; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3cnc4[nH]ccc4c3)c12; [None]; [None]; [0]
-CC1(c2ncnc3[nH]cc(Cl)c23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Clc1c[nH]c2ncnc(-c3ccc(N4CCOCC4)cc3)c12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.9999338388442993, 0.999752938747406]
+CS(=O)(=O)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9999911785125732, 0.998399019241333]
+C[C@H](Nc1ncnc2[nH]cc(Cl)c12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@H](Nc1ncnc2[nH]cc(Cl)c12)C(C)(C)O; ['C[C@H](N)C(C)(C)O']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.8780598640441895]
 CN(c1ncnc2[nH]cc(Cl)c12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3ccc(N4CCOCC4)cc3)c12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; [None]; [None]; [0]
+CC1(c2ncnc3[nH]cc(Cl)c23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@@H](Nc1ncnc2[nH]cc(Cl)c12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.8780598640441895]
+Fc1cccc(Cl)c1-c1ncnc2[nH]cc(Cl)c12; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1c(F)cccc1Cl']; [0.9999759197235107, 0.9991369843482971]
 Cc1cc(-c2ncnc3[nH]cc(Cl)c23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1ncnc2[nH]cc(Cl)c12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Clc1c[nH]c2ncnc(-n3ncc4ccccc43)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['c1ccc2[nH]ncc2c1']; [0.9775562286376953]
 OCc1ccn(-c2ncnc3[nH]cc(Cl)c23)n1; [None]; [None]; [0]
 OCCc1cn(-c2ncnc3[nH]cc(Cl)c23)cn1; [None]; [None]; [0]
-C[C@H](Nc1ncnc2[nH]cc(Cl)c12)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ncnc2[nH]cc(Cl)c12)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-n3ncc4ccccc43)c12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-Oc1ncccc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+CSc1nc(C)c(-c2ncnc3[nH]cc(Cl)c23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ncnc3[nH]cc(Cl)c23)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9997784495353699, 0.9981642365455627]
+O=C(c1ccccc1)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9996929168701172, 0.9936952590942383]
 Clc1c[nH]c2ncnc(-c3ccc(-n4cncn4)cc3)c12; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
 Oc1ccc2nc(-c3ncnc4[nH]cc(Cl)c34)[nH]c2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2ncnc3[nH]cc(Cl)c23)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2ncnc3[nH]cc(Cl)c23)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2ncnc3[nH]cc(Cl)c23)cc1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ncnc3[nH]cc(Cl)c23)CC1; [None]; [None]; [0]
 Clc1c[nH]c2ncnc(-c3nncn3C3CC3)c12; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ncnc3[nH]cc(Cl)c23)n1; [None]; [None]; [0]
 Clc1c[nH]c2ncnc(Cc3nnc4ccc(-c5ccccc5)nn34)c12; [None]; [None]; [0]
@@ -47015,6202 +1321,14251 @@ O=S(=O)(Cc1ncnc2[nH]cc(Cl)c12)NCc1ccccn1; [None]; [None]; [0]
 Clc1c[nH]c2ncnc(-c3cn(Cc4ccccc4)nn3)c12; [None]; [None]; [0]
 CCc1cc(-c2ncnc3[nH]cc(Cl)c23)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2ncnc3[nH]cc(Cl)c23)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2ncnc3[nH]cc(Cl)c23)s1; [None]; [None]; [0]
 Nc1nnc(-c2ncnc3[nH]cc(Cl)c23)s1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ncnc3[nH]cc(Cl)c23)s1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ncnc3[nH]cc(Cl)c23)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ncnc3[nH]cc(Cl)c23)CC1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2ncnc3[nH]cc(Cl)c23)c(F)c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
+Clc1c[nH]c2ncnc(-c3cccc4ccsc34)c12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Clc1c[nH]c2ncnc(Cl)c12']; ['Clc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cccc2ccsc12']; [0.9999728202819824, 0.9851217865943909]
+Clc1c[nH]c2ncnc(-c3cccc4nnsc34)c12; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncnc4[nH]cc(Cl)c34)c2)cc1; [None]; [None]; [0]
 Clc1c[nH]c2ncnc(-c3nc4ccccc4s3)c12; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ncnc4[nH]cc(Cl)c34)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncnc4[nH]cc(Cl)c34)c2)cc1; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3cccc4ccsc34)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3cccc4nnsc34)c12; [None]; [None]; [0]
+Nc1cncc(-c2ncnc3[nH]cc(Cl)c23)n1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2ncnc3[nH]cc(Cl)c23)[nH]1; [None]; [None]; [0]
+Clc1c[nH]c2ncnc(-c3c[nH]c4cccnc34)c12; [None]; [None]; [0]
 Nc1nc(-c2ncnc3[nH]cc(Cl)c23)nc2ccccc12; [None]; [None]; [0]
+COc1ccc(Oc2ncnc3[nH]cc(Cl)c23)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.9906094074249268]
+COc1ccc(C#N)cc1-c1ncnc2[nH]cc(Cl)c12; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9999302625656128, 0.9964020848274231]
 Clc1c[nH]c2ncnc(-c3ncc4ccccc4n3)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(-c3c[nH]c4cccnc34)c12; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ncnc3[nH]cc(Cl)c23)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.9990875720977783, 0.9926172494888306]
+COc1ncccc1-c1ncnc2[nH]cc(Cl)c12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncncc12']; [0.9999467134475708, 0.9947237968444824, 0.9625352621078491]
+Clc1c[nH]c2ncnc(N3CCC(c4nc5ccccc5[nH]4)CC3)c12; ['Clc1c[nH]c2ncnc(Cl)c12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9973017573356628]
+OCCn1cnc(-c2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ncnc3[nH]cc(Cl)c23)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['Clc1c[nH]c2ncnc(Cl)c12', 'Clc1c[nH]c2ncnc(Cl)c12']; [0.999984622001648, 0.9997761249542236]
 Clc1c[nH]c2ncnc(-c3ncc4cc[nH]c4n3)c12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ncnc2[nH]cc(Cl)c12; [None]; [None]; [0]
-COc1ccc(Oc2ncnc3[nH]cc(Cl)c23)c(F)c1F; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ncnc2[nH]cc(C)c12; ['CNC(=O)c1ccccc1B(O)O']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9508247971534729]
+Clc1c[nH]c2ncnc(N3CC=C(c4c[nH]c5ccccc45)CC3)c12; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Clc1c[nH]c2ncnc(Cl)c12']; [0.9979232549667358]
 C[C@@]1(O)CC[C@H](c2ncnc3[nH]cc(Cl)c23)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ncnc3[nH]cc(Cl)c23)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ncnc3[nH]cc(Cl)c23)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2ncnc3[nH]cc(Cl)c23)cnn1; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(N3CCC(c4nc5ccccc5[nH]4)CC3)c12; [None]; [None]; [0]
-Clc1c[nH]c2ncnc(N3CC=C(c4c[nH]c5ccccc45)CC3)c12; [None]; [None]; [0]
+CCOc1ccccc1-c1ncnc2[nH]cc(C)c12; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9989439845085144, 0.9976093769073486]
 O=C(Nc1cccc(-c2ncnc3[nH]cc(Cl)c23)c1)C1CCNCC1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ncnc3[nH]cc(C)c23)[nH]1; [None]; [None]; [0]
+CN(C)c1cc(-c2ncnc3[nH]cc(Cl)c23)cnn1; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3ccccc3S(=O)(=O)C(C)C)c12; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9988219141960144]
+Cc1c[nH]c2ncnc(-c3ccccc3P(C)(C)=O)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3ccnc4ccccc34)c12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccnc2ccccc12']; [0.999773383140564, 0.9756783246994019]
+CCn1cc(-c2ncnc3[nH]cc(C)c23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9997955560684204, 0.9951208233833313]
+Cc1c[nH]c2ncnc(-c3ccccc3OC(F)(F)F)c12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9996854662895203, 0.9984363317489624]
+Cc1c[nH]c2ncnc(-c3cccc(C(F)(F)F)c3)c12; ['Cc1c[nH]c2ncnc(Cl)c12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['OB(O)c1cccc(C(F)(F)F)c1', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9994246959686279, 0.99931800365448]
+Cc1c[nH]c2ncnc(-c3ccccc3C(=O)[O-])c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3ccccc3C(N)=O)c12; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'NC(=O)c1ccccc1B(O)O']; [0.9992833733558655, 0.9175350666046143]
+Cc1c[nH]c2ncnc(-c3cnn(Cc4ccccc4)c3)c12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999856352806091, 0.9995130300521851]
+Cc1c[nH]c2ncnc(-c3ccc4ncn(C)c(=O)c4c3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cccc(NC(=O)c4ccccc4)c3)c12; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9980317950248718, 0.9948540329933167]
+Cc1c[nH]c2ncnc(Cc3cc(F)cc(F)c3)c12; [None]; [None]; [0]
+COC(C)(C)CCc1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cc(Cl)ccc3Cl)c12; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999876022338867, 0.9828313589096069]
+Cc1c[nH]c2ncnc(-c3cnn(CCO)c3)c12; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OCCn1cc(B(O)O)cn1']; [0.9992043972015381, 0.996674656867981]
+Cc1ccc(-c2ncnc3[nH]cc(C)c23)c(Br)c1; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1ccc(B(O)O)c(Br)c1']; [0.9885660409927368]
+Cc1c[nH]c2ncnc(OCC(=O)C(C)C)c12; ['CC(C)C(=O)CBr', 'CC(C)C(=O)CCl']; ['Cc1c[nH]c2ncnc(O)c12', 'Cc1c[nH]c2ncnc(O)c12']; [0.968140721321106, 0.9345158338546753]
+Cc1c[nH]c2ncnc(-c3csc(C(C)(C)C)n3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cnc(-c4ccccc4)[nH]3)c12; [None]; [None]; [0]
 Cc1c[nH]c2ncnc(-n3ncc4cccc(F)c4c3=O)c12; [None]; [None]; [0]
+Cc1nc(C)c(-c2ncnc3[nH]cc(C)c23)s1; [None]; [None]; [0]
+COc1cnc(-c2ncnc3[nH]cc(C)c23)nc1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ncnc3[nH]cc(C)c23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3c(Cl)cccc3Cl)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9474964141845703]
+Cc1c[nH]c2ncnc(-c3cccc(Cn4cncn4)c3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cccc(Br)c3)c12; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cccc(Br)c1']; [0.9995250701904297, 0.9966219663619995]
+Cc1nc2ccccn2c1-c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(NCc3cccnc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['NCc1cccnc1']; [0.9999159574508667]
+Cc1ccc(Cl)c(-c2ncnc3[nH]cc(C)c23)c1; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; [0.9998441934585571, 0.9789637327194214]
+Cc1c[nH]c2ncnc(-c3ccc4ccccc4c3)c12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccc2ccccc2c1']; [0.9996857643127441, 0.9980684518814087]
+Cc1c[nH]c2ncnc(-c3cnc4ccccn34)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cnn4ncccc34)c12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9997820854187012]
+Cc1c[nH]c2ncnc(Nc3cccnc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Nc1cccnc1']; [0.9997625350952148]
+Cc1c[nH]c2ncnc(NCCc3c[nH]cn3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['NCCc1c[nH]cn1']; [0.9968357086181641]
+Cc1c[nH]c2ncnc(NC(=O)c3cccs3)c12; ['Cc1c[nH]c2ncnc(N)c12', 'Cc1c[nH]c2ncnc(N)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; ['O=C(O)c1cccs1', 'O=C(Cl)c1cccs1', 'NC(=O)c1cccs1']; [0.9968965649604797, 0.9935365915298462, 0.9928195476531982]
+Cc1c[nH]c2ncnc(-c3cnc4cccnn34)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3c[nH]nc3C(F)(F)F)c12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9996516704559326]
+Cc1c[nH]c2ncnc(-c3ccnc(N)n3)c12; [None]; [None]; [0]
 Cc1c[nH]c2ncnc(-c3sc(=O)n(C)c3C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cnn4ncccc34)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(Cc3ncc(C(C)(C)C)o3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(NCCc3ccccc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['NCCc1ccccc1']; [0.9996346235275269]
+Cc1c[nH]c2ncnc(-c3cncc4ccccc34)c12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cncc2ccccc12']; [0.9999213218688965, 0.99789959192276]
+Cc1c[nH]c2ncnc(-c3cccc(F)c3C(N)=O)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3ccc(-c4cnn(C)c4)cc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [0.9999866485595703]
+Cc1c[nH]c2ncnc(-n3cnc4ccccc43)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(NCc3ccc(Cl)cc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['NCc1ccc(Cl)cc1']; [0.9998289346694946]
+Cc1c[nH]c2ncnc(-c3ccc4c(cnn4C)c3)c12; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; [0.9999746084213257, 0.999685525894165]
+Cc1c[nH]c2ncnc(-c3cccc(CC(=O)[O-])c3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cccc(O)c3)c12; ['Cc1c[nH]c2ncnc(Cl)c12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['OB(O)c1cccc(O)c1', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9952550530433655, 0.8527116775512695]
+Cc1c[nH]c2ncnc(-c3ccc4c(N)[nH]nc4c3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3ccc(-c4cn[nH]c4)cc3)c12; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999863505363464, 0.9985073804855347]
+Cc1c[nH]c2ncnc(-c3cccc(CO)c3)c12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OCc1cccc(B(O)O)c1']; [0.982571005821228, 0.9672666788101196]
+Cc1c[nH]c2ncnc(Nc3ccncc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2nc[nH]c(=O)c12', 'Brc1ccncc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'Cc1c[nH]c2ncnc(N)c12']; [0.9999672174453735, 0.9941544532775879, 0.953472375869751]
 Cc1c[nH]c2ncnc(-c3ccc4c(c3)CS(=O)(=O)N4C)c12; [None]; [None]; [0]
+CCCn1cnc(-c2ncnc3[nH]cc(C)c23)n1; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(NCc3ccccc3F)c12; [None]; [None]; [0]
 COc1cc(-c2ncnc3[nH]cc(C)c23)ccc1C(=O)[O-]; [None]; [None]; [0]
 Cc1c[nH]c2ncnc(-c3cn(C(C)C)nn3)c12; [None]; [None]; [0]
 Cc1c[nH]c2ncnc(CCc3c[nH]nn3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(CCNC(=O)CC(C)(C)O)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(NC(=O)c3c(Cl)cccc3Cl)c12; [None]; [None]; [0]
+CSc1nc(-c2ncnc3[nH]cc(C)c23)c[nH]1; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3csc4ncncc34)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cccc(CCC#N)c3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['N#CCCc1cccc(B(O)O)c1']; [0.9979966282844543]
+Cc1c[nH]c2ncnc(-c3cncnc3N)c12; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ncnc3[nH]cc(C)c23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9988888502120972]
+Cc1c[nH]c2ncnc(-c3ccc(F)cc3C(F)(F)F)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9995753765106201]
+Cc1c[nH]c2ncnc(Oc3ccccn3)c12; ['Brc1ccccn1', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(O)c12', 'Oc1ccccn1']; [0.9864178895950317, 0.97632896900177]
+Cc1c[nH]c2ncnc(-c3cnoc3C(C)C)c12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ncnc3[nH]cc(C)c23)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9940533638000488, 0.9917989373207092]
+Cc1c[nH]c2ncnc(-c3cc4ccccc4[nH]3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3csc(N)n3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(NC(=O)c3c(Cl)cccc3Cl)c12; ['Cc1c[nH]c2ncnc(N)c12', 'Cc1c[nH]c2ncnc(N)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl']; [0.9979884624481201, 0.9977748394012451, 0.9946221113204956]
+CCNc1nc2ccc(-c3ncnc4[nH]cc(C)c34)cc2s1; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(N3CCC(S(C)(=O)=O)CC3)c12; ['CS(=O)(=O)C1CCNCC1']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9989607334136963]
+Cc1c[nH]c2ncnc(-c3cn(C)c4ccccc34)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9992623329162598]
 Cc1c[nH]c2ncnc(OCC(C)(C)S(C)(=O)=O)c12; [None]; [None]; [0]
+COc1ccc(-c2ncnc3[nH]cc(C)c23)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9997948408126831, 0.992546558380127]
+Cc1c[nH]c2ncnc(-c3cnn4ccccc34)c12; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cnn2ccccc12']; [0.9998722076416016, 0.9937123656272888]
+Cc1c[nH]c2ncnc(CCCC(N)=O)c12; [None]; [None]; [0]
+CCCn1cc(-c2ncnc3[nH]cc(C)c23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9999272227287292, 0.9981719851493835]
+Cc1c[nH]c2ncnc(-c3cc[nH]c(=O)c3)c12; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9968347549438477]
+Cc1c[nH]c2ncnc(-c3ccc(C(C)(C)N)cc3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cccc4c3C(=O)CC4)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(CCNC(=O)CC(C)(C)O)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(O[C@H](C)c3c(Cl)cncc3Cl)c12; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9982410669326782]
+Cc1c[nH]c2ncnc(-c3ccc([S@](C)=O)cc3)c12; ['CS(=O)c1ccc(B(O)O)cc1']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9480007886886597]
+CCN(CC)c1ncnc2[nH]cc(C)c12; ['CCNCC']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9260753393173218]
+CCNS(=O)(=O)c1ccccc1-c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
 Cc1c[nH]c2ncnc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(O[C@H](C)c3c(Cl)cncc3Cl)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cc4c(=O)[nH]ccc4o3)c12; [None]; [None]; [0]
+COc1ccncc1Nc1ncnc2[nH]cc(C)c12; ['COc1ccncc1N', 'COc1ccncc1Br', 'COc1ccncc1N']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(N)c12', 'Cc1c[nH]c2nc[nH]c(=O)c12']; [0.9998437166213989, 0.9995346069335938, 0.9913922548294067]
+Cc1c[nH]c2ncnc(Nc3cnccc3-c3ccccc3)c12; ['Cc1c[nH]c2ncnc(Cl)c12', 'Brc1cnccc1-c1ccccc1']; ['Nc1cnccc1-c1ccccc1', 'Cc1c[nH]c2ncnc(N)c12']; [0.9997109770774841, 0.9935867786407471]
+Cc1c[nH]c2ncnc(-c3cncc(OC(C)C)c3)c12; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9999723434448242, 0.9995138645172119]
+Cc1c[nH]c2ncnc(-c3ccc(C(C)(C)C)cc3)c12; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9997516870498657, 0.9858072996139526]
+COc1cccc(F)c1-c1ncnc2[nH]cc(C)c12; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9997915029525757, 0.9890334606170654]
+Cc1c[nH]c2ncnc(Nc3cnc4ccccc4c3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['Nc1cnc2ccccc2c1']; [0.997666597366333]
+Cc1c[nH]c2ncnc(-c3c[nH]c4cnccc34)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1c[nH]c2cnccc12']; [0.997931957244873]
+COc1cc(CCc2ncnc3[nH]cc(C)c23)cc(OC)c1; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cnc4[nH]ccc4c3)c12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999769926071167, 0.9995541572570801]
+CNC(=O)c1c(F)cccc1-c1ncnc2[nH]cc(C)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)c12; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9999134540557861, 0.9981639981269836]
+CNS(=O)(=O)c1ccc(-c2ncnc3[nH]cc(C)c23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9995689392089844, 0.9941954612731934]
+Cc1c[nH]c2ncnc(-c3ccc(N4CCOCC4)cc3)c12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.9999285936355591, 0.9986156225204468]
 Cc1c[nH]c2ncnc(-c3cc4c(=O)[nH]cc(Br)c4s3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(Nc3cnccc3-c3ccccc3)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3ccc(S(C)(=O)=O)cc3)c12; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9999737739562988, 0.9957107901573181]
 Cc1c[nH]c2ncnc(N[C@@H](C)C(=O)NCC(F)(F)F)c12; [None]; [None]; [0]
+Cc1cc(-c2ncnc3[nH]cc(C)c23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(C3(C)CCN(S(C)(=O)=O)CC3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(N[C@@H](C)C(C)(C)O)c12; ['C[C@H](N)C(C)(C)O']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9604829549789429]
+Cc1c[nH]c2ncnc(N[C@H](C)C(C)(C)O)c12; ['C[C@@H](N)C(C)(C)O']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9604829549789429]
+Cc1c[nH]c2ncnc(-c3c(F)cccc3Cl)c12; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1c(F)cccc1Cl']; [0.9999833106994629, 0.997827410697937]
+Cc1c[nH]c2ncnc(-n3ccc(CO)n3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-n3cnc(CCO)c3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3ccc(-n4cncn4)cc3)c12; [None]; [None]; [0]
+COc1ccc(-c2ncnc3[nH]cc(C)c23)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9999181032180786, 0.9996216893196106]
+Cc1c[nH]c2ncnc(-c3ccc(C(=O)c4ccccc4)cc3)c12; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9994776844978333, 0.9690396785736084]
+Cc1c[nH]c2ncnc(-n3ncc4c(O)cccc43)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-n3ncc4ccccc43)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3nc4ccc(O)cc4[nH]3)c12; [None]; [None]; [0]
+CSc1nc(C)c(-c2ncnc3[nH]cc(C)c23)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ncnc3[nH]cc(C)c23)CC1; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3nncn3C(C)C)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3nncn3C3CC3)c12; [None]; [None]; [0]
 Cc1c[nH]c2ncnc(-c3ccn(CC[NH3+])n3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(CCC(=O)NCc3ccccn3)c12; [None]; [None]; [0]
 Cc1c[nH]c2ncnc(Cc3nnc4ccc(-c5ccccc5)nn34)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cn(Cc4ccccc4)nn3)c12; [None]; [None]; [0]
+CCc1cc(-c2ncnc3[nH]cc(C)c23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ncnc3[nH]cc(C)c23)nc(N)n1; [None]; [None]; [0]
 Cc1c[nH]c2ncnc(CS(=O)(=O)NCc3ccccn3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3nnc(N)s3)c12; [None]; [None]; [0]
 Cc1c[nH]c2ncnc(-c3cc(C(N)=O)cn3C)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(Oc3ccc(C[NH3+])cc3F)c12; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)c12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncnc3[nH]cc(C)c23)s1; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cccc(C(C)(C)O)n3)c12; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncnc4[nH]cc(C)c34)c2)cc1; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cccc4ccsc34)c12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Cc1c[nH]c2ncnc(Cl)c12']; ['Cc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cccc2ccsc12']; [0.9999059438705444, 0.9725282192230225]
+C[C@@H2]NC(=O)N1CCC(c2ncnc3[nH]cc(C)c23)CC1; [None]; [None]; [0]
 Cc1c[nH]c2ncnc(-c3cccc4nnsc34)c12; [None]; [None]; [0]
-COc1ccc(Oc2ncnc3[nH]cc(C)c23)c(F)c1F; [None]; [None]; [0]
-Cc1c[nH]c2ncnc(-c3cccc(C(C)(C)O)n3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3nc4ccccc4s3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(Oc3ccc(C[NH3+])cc3F)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3c[nH]c4cccnc34)c12; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9965800046920776]
+Cc1c[nH]c2ncnc(-c3cncc(N)n3)c12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ncnc3[nH]cc(C)c23)[nH]1; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3nc(N)c4ccccc4n3)c12; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ncnc2[nH]cc(C)c12; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9998573064804077, 0.9982631206512451]
+Cc1c[nH]c2ncnc(-c3ncc4ccccc4n3)c12; [None]; [None]; [0]
+COc1ccc(Oc2ncnc3[nH]cc(C)c23)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9939925670623779]
+COc1ccc(OC)c(-c2ncnc3[nH]cc(C)c23)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9957443475723267, 0.9899402856826782]
+COc1ncccc1-c1ncnc2[nH]cc(C)c12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9999538660049438, 0.9965331554412842]
+Cc1c[nH]c2ncnc(-c3cn(CCO)cn3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cccc(S(=O)(=O)N(C)C)c3)c12; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['Cc1c[nH]c2ncnc(Cl)c12', 'Cc1c[nH]c2ncnc(Cl)c12']; [0.9999179840087891, 0.9996867179870605]
+Cc1c[nH]c2ncnc(N3CCC(c4nc5ccccc5[nH]4)CC3)c12; ['Cc1c[nH]c2ncnc(Cl)c12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9997371435165405]
+Cc1c[nH]c2ncnc(-c3ncc4cc[nH]c4n3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccccc3C(=O)NC)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1B(O)O']; [0.9881236553192139, 0.9779325723648071]
+CCOc1ccccc1-c1ncnc2[nH]cc(CC)c12; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; [0.993771493434906, 0.9889253973960876]
+Cc1c[nH]c2ncnc(N3CC=C(c4c[nH]c5ccccc45)CC3)c12; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Cc1c[nH]c2ncnc(Cl)c12']; [0.9999752044677734]
 Cc1c[nH]c2ncnc(-c3cccc(NC(=O)C4CCNCC4)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccccc3C(=O)NC)c12; [None]; [None]; [0]
-CCOc1ccccc1-c1ncnc2[nH]cc(CC)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(CCC(C)(C)OC)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3ccccc3-c3nnc(C)[nH]3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccccc3S(=O)(=O)C(C)C)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc([C@H](C)c3cc(F)ccc3OC)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(Cc3cc(F)cc(F)c3)c12; [None]; [None]; [0]
+Cc1c[nH]c2ncnc(-c3cnnc(N(C)C)c3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccccc3S(=O)(=O)C(C)C)c12; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['CCc1c[nH]c2ncnc(Cl)c12']; [0.9992567300796509]
+Cc1c[nH]c2ncnc([C@H]3CC[C@@](C)(O)CC3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccnc4ccccc34)c12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccnc2ccccc12']; [0.9996839761734009, 0.9959880113601685]
+CCc1c[nH]c2ncnc(-c3cccc(C(F)(F)F)c3)c12; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999481439590454, 0.9997601509094238]
+CCc1c[nH]c2ncnc(-c3cnn(CC)c3)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; [0.9998630285263062, 0.9990638494491577]
+CCc1c[nH]c2ncnc(-c3ccccc3OC(F)(F)F)c12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9993798136711121, 0.9978455305099487]
 CCc1c[nH]c2ncnc(-c3ccccc3P(C)(C)=O)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccnc4ccccc34)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc(C(F)(F)F)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccccc3Br)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccccc3OC(F)(F)F)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(CCC(C)(C)OC)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccccc3C(N)=O)c12; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'NC(=O)c1ccccc1B(O)O']; [0.9950541257858276, 0.9224333167076111]
+CCc1c[nH]c2ncnc(-c3cnn(Cc4ccccc4)c3)c12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999905824661255, 0.9997543096542358]
+CCc1c[nH]c2ncnc(-c3ccc4ncn(C)c(=O)c4c3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(Cc3cc(F)cc(F)c3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cnn(CCO)c3)c12; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OCCn1cc(B(O)O)cn1']; [0.9998934268951416, 0.9997003078460693]
+CCc1c[nH]c2ncnc(-c3cccc(NC(=O)c4ccccc4)c3)c12; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999477863311768, 0.9940410852432251]
+CCc1c[nH]c2ncnc(-c3cc(Cl)ccc3Cl)c12; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cc(Cl)ccc1Cl']; [0.999832272529602, 0.9867955446243286]
 CCc1c[nH]c2ncnc(-c3ccccc3C(=O)[O-])c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccccc3C(N)=O)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cnn(Cc4ccccc4)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cnc(-c4ccccc4)[nH]3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cnn(CCO)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc([C@@H](N)c3ccco3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccc(C)cc3Br)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['Cc1ccc(B(O)O)c(Br)c1']; [0.993863046169281]
 CCc1c[nH]c2ncnc(-c3csc(C(C)(C)C)n3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc(NC(=O)c4ccccc4)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-n3ncc4cccc(F)c4c3=O)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cnc(-c4ccccc4)[nH]3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3ncc(OC)cn3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3sc(C)nc3C)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-n3ncc4cccc(F)c4c3=O)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(OCC(=O)C(C)C)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(C)cc3Br)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3sc(N)nc3C)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3sc(NC)nc3C)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3c(Cl)cccc3Cl)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9291780591011047]
+CCc1c[nH]c2ncnc(-c3cccc(Br)c3)c12; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cccc(Br)c1']; [0.9999006390571594, 0.9979569911956787]
+CCc1c[nH]c2ncnc(-c3cccc(Cn4cncn4)c3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3c(C)nc4ccccn34)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cc(C)ccc3Cl)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; [0.9990735054016113, 0.9429339170455933]
 CCc1c[nH]c2ncnc(-c3cnc4ccccn34)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3sc(C)nc3C)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3sc(NC)nc3C)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3sc(N)nc3C)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(NCc3cccnc3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['NCc1cccnc1']; [0.999913215637207]
+CCc1c[nH]c2ncnc(-c3ccc4ccccc4c3)c12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccc2ccccc2c1']; [0.9997841119766235, 0.999381422996521]
+CCc1c[nH]c2ncnc(Nc3cccnc3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['Nc1cccnc1']; [0.9986112117767334]
+CCc1c[nH]c2ncnc(-c3cnn4ncccc34)c12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['CCc1c[nH]c2ncnc(Cl)c12']; [0.9996682405471802]
+CCc1c[nH]c2ncnc(NCCc3c[nH]cn3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['NCCc1c[nH]cn1']; [0.9778381586074829]
+CCc1c[nH]c2ncnc(NC(=O)c3cccs3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-n3cnc4ccccc43)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3cnc4cccnn34)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3c(Cl)cccc3Cl)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc(Cn4cncn4)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cc(C)ccc3Cl)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(NCc3cccnc3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3sc(=O)n(C)c3C)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3ccnc(N)n3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cnn4ncccc34)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc(OC)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc4ccccc4c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(Nc3cccnc3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-n3cnc4ccccc43)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(NCCc3c[nH]cn3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(Cc3ncc(C(C)(C)C)o3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(NC(=O)c3cccs3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cncc4ccccc34)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3c[nH]nc3C(F)(F)F)c12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['CCc1c[nH]c2ncnc(Cl)c12']; [0.9998818635940552]
+CCc1c[nH]c2ncnc(-c3cccc(F)c3C(N)=O)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(NCCc3ccccc3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['NCCc1ccccc1']; [0.9984842538833618]
+CCc1c[nH]c2ncnc(-c3sc(=O)n(C)c3C)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cncc4ccccc34)c12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cncc2ccccc12']; [0.9999658465385437, 0.9964154362678528]
+CCc1c[nH]c2ncnc(-c3ccc(-c4cnn(C)c4)cc3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [0.9999921321868896]
+CCc1c[nH]c2ncnc(-c3ccc4c(cnn4C)c3)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; [0.9999809861183167, 0.9999469518661499]
+CCc1c[nH]c2ncnc(NCc3ccc(Cl)cc3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['NCc1ccc(Cl)cc1']; [0.9998772144317627]
+CCc1c[nH]c2ncnc(-c3ccc(-c4cn[nH]c4)cc3)c12; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999954700469971, 0.9997038841247559]
 CCc1c[nH]c2ncnc(-c3cccc(CC(=O)[O-])c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(NCCc3ccccc3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(-c4cnn(C)c4)cc3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cccc(O)c3)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['OB(O)c1cccc(O)c1', 'CCc1c[nH]c2ncnc(Cl)c12']; [0.9849152565002441, 0.9847819209098816]
 CCc1c[nH]c2ncnc(-c3ccc4c(N)[nH]nc4c3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(Nc3ccncc3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['Nc1ccncc1']; [0.9997268915176392]
+CCc1c[nH]c2ncnc(-c3cccc(CO)c3)c12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OCc1cccc(B(O)O)c1']; [0.9991154670715332, 0.9606237411499023]
+CCc1c[nH]c2ncnc(NCc3ccccc3F)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['NCc1ccccc1F']; [0.9997998476028442]
 CCc1c[nH]c2ncnc(-c3ccc4c(c3)CS(=O)(=O)N4C)c12; [None]; [None]; [0]
 CCCn1cnc(-c2ncnc3[nH]cc(CC)c23)n1; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc4c(cnn4C)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc(O)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc(CO)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(C(=O)[O-])c(OC)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(Nc3ccncc3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3cn(C(C)C)nn3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3csc4ncncc34)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3c[nH]c(SC)n3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccc(C(=O)[O-])c(OC)c3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3cnoc3C(C)C)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(CCc3c[nH]nn3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3csc4ncncc34)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc(CCC#N)c3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cccc(CCC#N)c3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['N#CCCc1cccc(B(O)O)c1']; [0.9951956868171692]
+CCc1c[nH]c2ncnc(-c3cncnc3N)c12; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ncnc3[nH]cc(CC)c23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CCc1c[nH]c2ncnc(Cl)c12']; [0.9997571110725403]
+CCc1c[nH]c2ncnc(-c3ccc(F)cc3C(F)(F)F)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9999085664749146]
+CCc1c[nH]c2ncnc(Oc3ccccn3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['Oc1ccccn1']; [0.9912778735160828]
+CCc1c[nH]c2ncnc(-c3cc4ccccc4[nH]3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(NC(=O)c3c(Cl)cccc3Cl)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['NC(=O)c1c(Cl)cccc1Cl']; [0.9993417263031006]
+CCc1c[nH]c2ncnc(-c3cccc(NC(C)=O)c3)c12; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; [0.9998195767402649, 0.9813786745071411]
+CCc1c[nH]c2ncnc(N3CCC(S(C)(=O)=O)CC3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['CS(=O)(=O)C1CCNCC1']; [0.9997215270996094]
+CCc1c[nH]c2ncnc(-c3cn(C)c4ccccc34)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9979488849639893]
 CCNc1nc2ccc(-c3ncnc4[nH]cc(CC)c34)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncnc3[nH]cc(CC)c23)cc1; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(F)cc3C(F)(F)F)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(CCNC(=O)CC(C)(C)O)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc(NC(C)=O)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(NC(=O)c3c(Cl)cccc3Cl)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cn(C)c4ccccc34)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(N3CCC(S(C)(=O)=O)CC3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3csc(N)n3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccc(OC)c(Cl)c3)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; [0.9999372363090515, 0.9991989135742188]
+CCc1c[nH]c2ncnc(-c3cnn4ccccc34)c12; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cnn2ccccc12']; [0.9999171495437622, 0.9995154142379761]
 CCc1c[nH]c2ncnc(OCC(C)(C)S(C)(=O)=O)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(OC)c(Cl)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cnn4ccccc34)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)c12; [None]; [None]; [0]
-CCCn1cc(-c2ncnc3[nH]cc(CC)c23)cn1; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cc[nH]c(=O)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(CCc3cc(OC)cc(OC)c3)c12; [None]; [None]; [0]
+CCCn1cc(-c2ncnc3[nH]cc(CC)c23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; [0.9999884963035583, 0.9999060034751892]
+CCc1c[nH]c2ncnc(-c3cc[nH]c(=O)c3)c12; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['CCc1c[nH]c2ncnc(Cl)c12']; [0.9996585845947266]
+CCc1c[nH]c2ncnc(CCCC(N)=O)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3cccc4c3C(=O)CC4)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(CCNC(=O)CC(C)(C)O)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3ccc(C(C)(C)N)cc3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(O[C@H](C)c3c(Cl)cncc3Cl)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(O[C@H](C)c3c(Cl)cncc3Cl)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['C[C@@H](O)c1c(Cl)cncc1Cl']; [0.9980678558349609]
+CCc1c[nH]c2ncnc(N(CC)CC)c12; ['CCNCC']; ['CCc1c[nH]c2ncnc(Cl)c12']; [0.9715273380279541]
 CCc1c[nH]c2ncnc(-c3ccc([S@](C)=O)cc3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(N(CC)CC)c12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ncnc2[nH]cc(CC)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(Nc3cnccc3OC)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['COc1ccncc1N']; [0.9999840259552002]
 CCc1c[nH]c2ncnc(-c3cc4c(=O)[nH]ccc4o3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(Nc3cnccc3-c3ccccc3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['Nc1cnccc1-c1ccccc1']; [0.9999324083328247]
+CCc1c[nH]c2ncnc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccc(C(C)(C)C)cc3)c12; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; [0.9996711611747742, 0.9847603440284729]
+CCc1c[nH]c2ncnc(-c3cncc(OC(C)C)c3)c12; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; [0.9999148845672607, 0.9990231990814209]
+CCc1c[nH]c2ncnc(Nc3cnc4ccccc4c3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['Nc1cnc2ccccc2c1']; [0.9985071420669556]
+CCc1c[nH]c2ncnc(-c3c(F)cccc3OC)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O']; [0.9996849298477173, 0.9978493452072144]
+CCc1c[nH]c2ncnc(-c3c[nH]c4cnccc34)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['OB(O)c1c[nH]c2cnccc12']; [0.9599572420120239]
+CCc1c[nH]c2ncnc(CCc3cc(OC)cc(OC)c3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)c12; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; [0.9999706745147705, 0.9986110329627991]
+CCc1c[nH]c2ncnc(-c3cnc4[nH]ccc4c3)c12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999876022338867, 0.9996980428695679]
 CCc1c[nH]c2ncnc(-c3cc4c(=O)[nH]cc(Br)c4s3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3c[nH]c4ccccc34)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(Nc3cnccc3OC)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(Nc3cnccc3-c3ccccc3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(Nc3cnc4ccccc4c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3c[nH]c4cnccc34)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccc(N4CCOCC4)cc3)c12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.9999495148658752, 0.9993166923522949]
+CCc1c[nH]c2ncnc(-c3ccc(S(=O)(=O)NC)cc3)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9999096393585205, 0.9974473714828491]
+CCc1c[nH]c2ncnc(-c3ccc(S(C)(=O)=O)cc3)c12; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9999921321868896, 0.9993085861206055]
 CCc1c[nH]c2ncnc(-c3cccc(F)c3C(=O)NC)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc([C@H](CO)Cc3ccccc3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cnc4[nH]ccc4c3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(N[C@@H](C)C(=O)NCC(F)(F)F)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(C3(C)CCN(S(C)(=O)=O)CC3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(S(=O)(=O)NC)cc3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(S(C)(=O)=O)cc3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(N4CCOCC4)cc3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(N[C@@H](C)C(C)(C)O)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['C[C@H](N)C(C)(C)O']; [0.8207387328147888]
+CCc1c[nH]c2ncnc(N[C@H](C)C(C)(C)O)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['C[C@@H](N)C(C)(C)O']; [0.8207387328147888]
+CCc1c[nH]c2ncnc(-c3c(F)cccc3Cl)c12; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1c(F)cccc1Cl']; [0.9999891519546509, 0.9994800090789795]
 CCc1c[nH]c2ncnc(-c3cc(C)nn3-c3cccc(Cl)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(N[C@@H](C)C(=O)NCC(F)(F)F)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-n3ccc(CO)n3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccc(-n4cncn4)cc3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-n3cnc(CCO)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(N[C@@H](C)C(C)(C)O)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(N[C@H](C)C(C)(C)O)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc(F)c3C(N)=O)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-n3ccc(CO)n3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccc(OC)cc3OC)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; [0.9998577237129211, 0.998979389667511]
+CCc1c[nH]c2ncnc(-c3ccc(C(=O)c4ccccc4)cc3)c12; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9998068809509277, 0.9855166673660278]
 CCc1c[nH]c2ncnc(-n3ncc4ccccc43)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-n3ncc4c(O)cccc43)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccnc3O)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(-n4cncn4)cc3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3nc4ccc(O)cc4[nH]3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3[nH]c(SC)nc3C)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(OC)cc3OC)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(C(=O)c4ccccc4)cc3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc([C@@H]3CC[C@@H](NC(C)=O)CC3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3nncn3C3CC3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3nncn3C(C)C)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3ccn(CC[NH3+])n3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3nncn3C3CC3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(Cc3nnc4ccc(-c5ccccc5)nn34)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(CCC(=O)NCc3ccccn3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(CS(=O)(=O)NCc3ccccn3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3cn(Cc4ccccc4)nn3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(CS(=O)(=O)NCc3ccccn3)c12; [None]; [None]; [0]
 CCc1cc(-c2ncnc3[nH]cc(CC)c23)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2ncnc3[nH]cc(CC)c23)nc(N)n1; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cnc(N)s3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccc(C(=O)NC)s3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3nnc(N)s3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3cc(C(N)=O)cn3C)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc(C(=O)NC)s3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cccc(C(C)(C)O)n3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(Oc3ccc(C[NH3+])cc3F)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3c(F)cccc3OC)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3nc4ccccc4s3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(C3CCN(C(=O)N[C@@H2]C)CC3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3cccc(C(=O)Nc4ccc(C(=O)NC)cc4)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc4ccsc34)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cccc4ccsc34)c12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CCc1c[nH]c2ncnc(Cl)c12', 'OB(O)c1cccc2ccsc12']; [0.9997626543045044, 0.9756346940994263]
+CCc1c[nH]c2ncnc(-c3nc4ccccc4s3)c12; [None]; [None]; [0]
 CCc1c[nH]c2ncnc(-c3cccc4nnsc34)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cncc(N)n3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3c[nH]c4cccnc34)c12; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['CCc1c[nH]c2ncnc(Cl)c12']; [0.9992979764938354]
 CCc1c[nH]c2ncnc(-c3cnc(NC(C)=O)[nH]3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3nc(N)c4ccccc4n3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(Oc3ccc(OC)c(F)c3F)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['COc1ccc(O)c(F)c1F']; [0.9976781606674194]
 CCc1c[nH]c2ncnc(-c3ncc4ccccc4n3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3c[nH]c4cccnc34)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cc(C#N)ccc3OC)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O']; [0.9998258352279663, 0.998868465423584]
+CCc1c[nH]c2ncnc(-c3nc(N)c4ccccc4n3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cc(OC)ccc3OC)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; [0.9961681365966797, 0.9923169612884521]
+CCc1c[nH]c2ncnc(-c3cn(CCO)cn3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc(-c3cccnc3OC)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; [0.9996748566627502, 0.9909720420837402]
+CCc1c[nH]c2ncnc(N3CCC(c4nc5ccccc5[nH]4)CC3)c12; ['CCc1c[nH]c2ncnc(Cl)c12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9992884397506714]
+CCc1c[nH]c2ncnc(-c3cccc(S(=O)(=O)N(C)C)c3)c12; ['CCc1c[nH]c2ncnc(Cl)c12', 'CCc1c[nH]c2ncnc(Cl)c12']; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; [0.9999573230743408, 0.9993787407875061]
 CCc1c[nH]c2ncnc(-c3ncc4cc[nH]c4n3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cc(C#N)ccc3OC)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(Cc3ccccc3NS(C)(=O)=O)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(Oc3ccc(OC)c(F)c3F)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc([C@H]3CC[C@@](C)(O)CC3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cc(OC)ccc3OC)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cccc(C(C)(C)O)n3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(-c3cnnc(N(C)C)c3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(N3CCC(c4nc5ccccc5[nH]4)CC3)c12; [None]; [None]; [0]
-CCc1c[nH]c2ncnc(N3CC=C(c4c[nH]c5ccccc45)CC3)c12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O']; ['CNC(=O)c1ccccc1B(O)O', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9938482046127319, 0.9904669523239136, 0.974789023399353]
+CCOc1ccccc1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'Brc1ncnc2[nH]ccc12', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'CCOc1ccccc1B(O)O', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9999852776527405, 0.999936044216156, 0.9997743368148804, 0.9995365142822266, 0.9989448189735413, 0.9969774484634399]
+CCc1c[nH]c2ncnc(N3CC=C(c4c[nH]c5ccccc45)CC3)c12; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['CCc1c[nH]c2ncnc(Cl)c12']; [0.999968409538269]
 CCc1c[nH]c2ncnc(-c3cccc(NC(=O)C4CCNCC4)c3)c12; [None]; [None]; [0]
-Cc1c(-c2ncnc3[nH]ccc23)sc(=O)n1C; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9995971322059631, 0.9987179040908813, 0.9953190088272095]
+Cc1nnc(-c2ccccc2-c2ncnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
+c1ccc2c(-c3ncnc4[nH]ccc34)ccnc2c1; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Brc1ccnc2ccccc12']; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Clc1ncnc2[nH]ccc12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'c1ncc2cc[nH]c2n1']; [0.9999831318855286, 0.9993222951889038, 0.9990766048431396, 0.9987364411354065, 0.9956163167953491, 0.9941087365150452]
+CCc1c[nH]c2ncnc(-c3cnnc(N(C)C)c3)c12; [None]; [None]; [0]
+CCc1c[nH]c2ncnc([C@H]3CC[C@@](C)(O)CC3)c12; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ncnc3[nH]ccc23)c1; ['Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Clc1ncnc2[nH]ccc12']; [0.999977707862854, 0.9999293088912964, 0.9998998641967773]
+Fc1cc(F)cc(Cc2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
+CCn1cc(-c2ncnc3[nH]ccc23)cn1; ['Brc1ncnc2[nH]ccc12', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1', 'CCOS(=O)(=O)c1ccc(C)cc1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'c1nc(-c2cn[nH]c2)c2cc[nH]c2n1']; [0.9999902248382568, 0.9999739527702332, 0.9998975992202759, 0.9998923540115356, 0.998833417892456, 0.9961497187614441]
+FC(F)(F)Oc1ccccc1-c1ncnc2[nH]ccc12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Brc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999881982803345, 0.9998816251754761, 0.9995996952056885, 0.9995838403701782, 0.9981634616851807]
+COC(C)(C)CCc1ncnc2[nH]ccc12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Brc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Clc1ncnc2[nH]ccc12', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O']; [0.9998906254768372, 0.9989678263664246, 0.9856430888175964, 0.9550787210464478, 0.9356380701065063]
+c1ccc(Cn2cc(-c3ncnc4[nH]ccc34)cn2)cc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Clc1ncnc2[nH]ccc12', 'ClCc1ccccc1']; ['Ic1ncnc2[nH]ccc12', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Clc1ncnc2[nH]ccc12', 'OB(O)c1cnn(Cc2ccccc2)c1', 'c1nc(-c2cn[nH]c2)c2cc[nH]c2n1']; [0.9999916553497314, 0.9999759793281555, 0.9999700784683228, 0.9998311996459961, 0.9491138458251953]
+Cn1cnc2ccc(-c3ncnc4[nH]ccc34)cc2c1=O; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ncnc3[nH]ccc23)c1)c1ccccc1; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Clc1ncnc2[nH]ccc12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999440908432007, 0.9997878670692444, 0.9997596144676208, 0.9982376098632812]
+CP(C)(=O)c1ccccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+OCCn1cc(-c2ncnc3[nH]ccc23)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Brc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCI', 'Cc1ccc(S(=O)(=O)OCCO)cc1', 'Clc1ncnc2[nH]ccc12', 'C1CO1', 'OCCCl', 'OCCBr']; ['Ic1ncnc2[nH]ccc12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'Clc1ncnc2[nH]ccc12', 'c1nc(-c2cn[nH]c2)c2cc[nH]c2n1', 'c1nc(-c2cn[nH]c2)c2cc[nH]c2n1', 'OCCn1cc(B(O)O)cn1', 'c1nc(-c2cn[nH]c2)c2cc[nH]c2n1', 'c1nc(-c2cn[nH]c2)c2cc[nH]c2n1', 'c1nc(-c2cn[nH]c2)c2cc[nH]c2n1']; [0.999893069267273, 0.9998042583465576, 0.9997667670249939, 0.9992611408233643, 0.99756920337677, 0.995279848575592, 0.9941890835762024, 0.9900839328765869, 0.9788851737976074, 0.9396296739578247, 0.9375618696212769]
+Clc1ccc(Cl)c(-c2ncnc3[nH]ccc23)c1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['Clc1ncnc2[nH]ccc12', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [0.999263346195221, 0.9928842782974243, 0.9507116079330444]
+CC(C)C(=O)COc1ncnc2[nH]ccc12; ['CC(C)C(=O)CBr', 'CC(C)C(=O)CCl']; ['Oc1ncnc2[nH]ccc12', 'Oc1ncnc2[nH]ccc12']; [0.9188715219497681, 0.8034557104110718]
+Cc1ccc(-c2ncnc3[nH]ccc23)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9803444147109985, 0.9591189622879028]
+CC(C)(C)c1nc(-c2ncnc3[nH]ccc23)cs1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3ncnc4[nH]ccc34)[nH]2)cc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-c1cnn2ncc(-c3ncnc4[nH]ccc34)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ncnc3[nH]ccc23)o1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ncnc3[nH]ccc23)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ncnc3[nH]ccc23)s1; [None]; [None]; [0]
+COc1cnc(-c2ncnc3[nH]ccc23)nc1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9983289837837219, 0.9932165145874023, 0.9240705966949463]
+Brc1cccc(-c2ncnc3[nH]ccc23)c1; ['Ic1ncnc2[nH]ccc12', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Clc1ncnc2[nH]ccc12']; ['OB(O)c1cccc(Br)c1', 'Clc1ncnc2[nH]ccc12', 'OB(O)c1cccc(Br)c1']; [0.9997377395629883, 0.9986580610275269, 0.9974515438079834]
+c1cc(Cn2cncn2)cc(-c2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ncnc3[nH]ccc23)c1; ['Brc1ncnc2[nH]ccc12', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(B(O)O)c1', 'Clc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9994316101074219, 0.9990129470825195, 0.9959768652915955, 0.9179004430770874]
+c1ccn2c(-c3ncnc4[nH]ccc34)cnc2c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+c1cncc(CNc2ncnc3[nH]ccc23)c1; ['Clc1ncnc2[nH]ccc12', 'Brc1ncnc2[nH]ccc12', 'NCc1cccnc1', 'Nc1ncnc2[nH]ccc12', 'BrCc1cccnc1']; ['NCc1cccnc1', 'NCc1cccnc1', 'O=c1[nH]cnc2[nH]ccc12', 'O=Cc1cccnc1', 'Nc1ncnc2[nH]ccc12']; [0.9999958872795105, 0.9998507499694824, 0.9950469732284546, 0.9912039041519165, 0.8411055207252502]
+c1ccc2cc(-c3ncnc4[nH]ccc34)ccc2c1; ['Ic1ncnc2[nH]ccc12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Clc1ncnc2[nH]ccc12']; ['OB(O)c1ccc2ccccc2c1', 'Clc1ncnc2[nH]ccc12', 'OB(O)c1ccc2ccccc2c1']; [0.9999640583992004, 0.9998641014099121, 0.999530553817749]
+c1cncc(Nc2ncnc3[nH]ccc23)c1; ['Clc1ncnc2[nH]ccc12', 'Brc1ncnc2[nH]ccc12']; ['Nc1cccnc1', 'Nc1cccnc1']; [0.9999340772628784, 0.9997845888137817]
+c1cnn2ncc(-c3ncnc4[nH]ccc34)c2c1; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Clc1ncnc2[nH]ccc12']; [0.999883770942688, 0.9979445338249207]
+c1cnn2c(-c3ncnc4[nH]ccc34)cnc2c1; [None]; [None]; [0]
+Cc1c(-c2ncnc3[nH]ccc23)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
+O=C(Nc1ncnc2[nH]ccc12)c1cccs1; ['Brc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Nc1ncnc2[nH]ccc12', 'Nc1ncnc2[nH]ccc12']; ['NC(=O)c1cccs1', 'NC(=O)c1cccs1', 'O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.999030590057373, 0.9985907077789307, 0.997725784778595, 0.9928520321846008]
+c1ccc2c(c1)ncn2-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9998965263366699, 0.9995900392532349, 0.9900202751159668]
+c1nc(NCCc2c[nH]cn2)c2cc[nH]c2n1; ['Clc1ncnc2[nH]ccc12', 'Brc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Nc1ncnc2[nH]ccc12']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'OCCc1c[nH]cn1']; [0.9998096227645874, 0.9995014071464539, 0.993252158164978, 0.9182944297790527]
+c1ccc(CCNc2ncnc3[nH]ccc23)cc1; ['Clc1ncnc2[nH]ccc12', 'Brc1ncnc2[nH]ccc12']; ['NCCc1ccccc1', 'NCCc1ccccc1']; [0.9999617338180542, 0.9995661973953247]
+NC(=O)c1c(F)cccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+c1ccc2c(-c3ncnc4[nH]ccc34)cncc2c1; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'F[B-](F)(F)c1cncc2ccccc12']; [0.9999751448631287, 0.9999684691429138, 0.9996709227561951, 0.9983091354370117, 0.9878667593002319, 0.8234026432037354]
+Cn1cc(-c2ccc(-c3ncnc4[nH]ccc34)cc2)cn1; ['Clc1ncnc2[nH]ccc12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [0.9999920129776001]
+Cn1ncc2cc(-c3ncnc4[nH]ccc34)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Clc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['Ic1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; [0.9999997615814209, 0.9999988079071045, 0.9999951720237732, 0.9999447464942932]
+c1nc(-c2ccc(-c3cn[nH]c3)cc2)c2cc[nH]c2n1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['Clc1ncnc2[nH]ccc12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999983310699463, 0.9999886155128479, 0.9999401569366455]
+Clc1ccc(CNc2ncnc3[nH]ccc23)cc1; ['Clc1ncnc2[nH]ccc12', 'Brc1ncnc2[nH]ccc12', 'NCc1ccc(Cl)cc1', 'Clc1ccc(CBr)cc1', 'Nc1ncnc2[nH]ccc12']; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=c1[nH]cnc2[nH]ccc12', 'Nc1ncnc2[nH]ccc12', 'O=Cc1ccc(Cl)cc1']; [0.999992847442627, 0.9999868869781494, 0.9995625019073486, 0.967660129070282, 0.9401942491531372]
+Nc1[nH]nc2cc(-c3ncnc4[nH]ccc34)ccc12; [None]; [None]; [0]
+OCc1cccc(-c2ncnc3[nH]ccc23)c1; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Brc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Clc1ncnc2[nH]ccc12']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'Clc1ncnc2[nH]ccc12', 'OCc1cccc(B(O)O)c1']; [0.9998853206634521, 0.9996218681335449, 0.9995534420013428, 0.9977734088897705, 0.9909414052963257, 0.9835178852081299]
+Oc1cccc(-c2ncnc3[nH]ccc23)c1; ['Clc1ncnc2[nH]ccc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['OB(O)c1cccc(O)c1', 'Clc1ncnc2[nH]ccc12']; [0.9941858649253845, 0.8862830400466919]
+O=C([O-])Cc1cccc(-c2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
+Fc1ccccc1CNc1ncnc2[nH]ccc12; ['Clc1ncnc2[nH]ccc12']; ['NCc1ccccc1F']; [0.999997615814209]
+c1cc(Nc2ncnc3[nH]ccc23)ccn1; ['Clc1ncnc2[nH]ccc12', 'Brc1ncnc2[nH]ccc12', 'Brc1ccncc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1ncnc2[nH]ccc12']; [0.9999780058860779, 0.9999240636825562, 0.9721132516860962]
+CCCn1cnc(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
 CN1c2ccc(-c3ncnc4[nH]ccc34)cc2CS1(=O)=O; [None]; [None]; [0]
+c1nc(-c2csc3ncncc23)c2cc[nH]c2n1; [None]; [None]; [0]
+CC(C)n1cc(-c2ncnc3[nH]ccc23)nn1; [None]; [None]; [0]
 COc1cc(-c2ncnc3[nH]ccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+CSc1nc(-c2ncnc3[nH]ccc23)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ncnc3[nH]ccc23)c1; ['Brc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; [0.9999926090240479, 0.9998815059661865, 0.9998204708099365]
+CC(C)c1oncc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ncnc3[nH]ccc23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1ncnc2[nH]ccc12']; [0.9998630285263062]
+Nc1ncncc1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12']; ['Nc1ncncc1Br']; [0.9933244585990906]
 c1nc(CCc2c[nH]nn2)c2cc[nH]c2n1; [None]; [None]; [0]
-CC(C)n1cc(-c2ncnc3[nH]ccc23)nn1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ncnc2[nH]ccc12; [None]; [None]; [0]
-O=C(Nc1ncnc2[nH]ccc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2ncnc3[nH]ccc23)c(C(F)(F)F)c1; ['Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.998520016670227, 0.9912279844284058]
+c1ccc(Oc2ncnc3[nH]ccc23)nc1; ['Clc1ccccn1', 'Brc1ccccn1', 'Brc1ncnc2[nH]ccc12', 'Fc1ccccn1', 'Clc1ncnc2[nH]ccc12']; ['Oc1ncnc2[nH]ccc12', 'Oc1ncnc2[nH]ccc12', 'Oc1ccccn1', 'Oc1ncnc2[nH]ccc12', 'Oc1ccccn1']; [0.9969086050987244, 0.9815222024917603, 0.9483969807624817, 0.9477681517601013, 0.9300574660301208]
+c1ccc2[nH]c(-c3ncnc4[nH]ccc34)cc2c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ncnc3[nH]ccc23)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9991469979286194, 0.9988386631011963, 0.9914253354072571]
+O=C(Nc1ncnc2[nH]ccc12)c1c(Cl)cccc1Cl; ['Brc1ncnc2[nH]ccc12', 'Nc1ncnc2[nH]ccc12', 'Nc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['NC(=O)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'O=C(Cl)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl']; [0.9995909333229065, 0.9987043738365173, 0.9973478317260742, 0.9966980218887329]
+Cn1cc(-c2ncnc3[nH]ccc23)c2ccccc21; ['Clc1ncnc2[nH]ccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9892000555992126]
+CCNc1nc2ccc(-c3ncnc4[nH]ccc34)cc2s1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ncnc3[nH]ccc23)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1ncnc2[nH]ccc12']; [0.9998224973678589]
+COc1ccc(-c2ncnc3[nH]ccc23)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Clc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.999951183795929, 0.9999175667762756, 0.9987074136734009]
+Nc1nc(-c2ncnc3[nH]ccc23)cs1; [None]; [None]; [0]
 CC(C)(COc1ncnc2[nH]ccc12)S(C)(=O)=O; [None]; [None]; [0]
+c1ccn2ncc(-c3ncnc4[nH]ccc34)c2c1; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['Ic1ncnc2[nH]ccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1ncnc2[nH]ccc12', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; [0.9999892711639404, 0.9999728202819824, 0.9997870326042175, 0.9992361068725586, 0.9972296953201294]
+CCCn1cc(-c2ncnc3[nH]ccc23)cn1; ['Brc1ncnc2[nH]ccc12', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCI']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'c1nc(-c2cn[nH]c2)c2cc[nH]c2n1']; [0.9999932050704956, 0.9999897480010986, 0.999958872795105, 0.9999476075172424, 0.9995518922805786, 0.9730852842330933]
+NC(=O)CCCc1ncnc2[nH]ccc12; [None]; [None]; [0]
+O=C1CCc2cccc(-c3ncnc4[nH]ccc34)c21; [None]; [None]; [0]
+O=c1cc(-c2ncnc3[nH]ccc23)cc[nH]1; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Clc1ncnc2[nH]ccc12']; [0.9999602437019348, 0.9991693496704102]
+C[C@@H](Oc1ncnc2[nH]ccc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Clc1ncnc2[nH]ccc12']; [0.9913510084152222]
+CC(C)(N)c1ccc(-c2ncnc3[nH]ccc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+CCN(CC)c1ncnc2[nH]ccc12; ['CCNCC', 'CCNCC', 'Brc1ncnc2[nH]ccc12']; ['Clc1ncnc2[nH]ccc12', 'O=c1[nH]cnc2[nH]ccc12', 'CCNCC']; [0.980599045753479, 0.9753580093383789, 0.974438488483429]
+C[S@](=O)c1ccc(-c2ncnc3[nH]ccc23)cc1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ncnc2[nH]ccc12; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2ncnc3[nH]ccc23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ncnc2[nH]ccc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ncnc4[nH]ccc34)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1ncnc2[nH]ccc12; ['COc1ccncc1N', 'COc1ccncc1Br', 'COc1ccncc1N']; ['Clc1ncnc2[nH]ccc12', 'Nc1ncnc2[nH]ccc12', 'O=c1[nH]cnc2[nH]ccc12']; [0.9999599456787109, 0.9980229735374451, 0.9836450815200806]
+CC(C)(C)c1ccc(-c2ncnc3[nH]ccc23)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Clc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9999440908432007, 0.9995687007904053, 0.998129665851593]
+c1ccc(-c2ccncc2Nc2ncnc3[nH]ccc23)cc1; ['Clc1ncnc2[nH]ccc12', 'Brc1cnccc1-c1ccccc1']; ['Nc1cnccc1-c1ccccc1', 'Nc1ncnc2[nH]ccc12']; [0.9999065399169922, 0.9986246824264526]
+COc1cccc(F)c1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'Brc1ncnc2[nH]ccc12', 'COc1cccc(F)c1B(O)O']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'COc1cccc(F)c1B(O)O', 'Clc1ncnc2[nH]ccc12']; [0.9999866485595703, 0.9999819397926331, 0.9998546242713928, 0.9997098445892334, 0.9995520114898682, 0.9994055032730103]
+c1ccc2ncc(Nc3ncnc4[nH]ccc34)cc2c1; ['Clc1ncnc2[nH]ccc12']; ['Nc1cnc2ccccc2c1']; [0.9980199337005615]
+CC(C)Oc1cncc(-c2ncnc3[nH]ccc23)c1; ['Brc1ncnc2[nH]ccc12', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ncnc2[nH]ccc12', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'CC(C)Oc1cncc(B(O)O)c1', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.999997615814209, 0.999995231628418, 0.99998939037323, 0.9999417662620544, 0.9995967149734497, 0.9981107115745544]
+COc1cc(CCc2ncnc3[nH]ccc23)cc(OC)c1; [None]; [None]; [0]
+c1cc2c(-c3ncnc4[nH]ccc34)c[nH]c2cn1; ['Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9997042417526245, 0.9685290455818176]
 O=c1[nH]cc(Br)c2sc(-c3ncnc4[nH]ccc34)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2ncnc3[nH]ccc23)cc1; [None]; [None]; [0]
-CN(c1ncnc2[nH]ccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ncnc3[nH]ccc23)cc1; ['Brc1ncnc2[nH]ccc12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ncnc2[nH]ccc12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1ncnc2[nH]ccc12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2[nH]ccc12']; [0.9999830722808838, 0.9998857975006104, 0.9995450377464294, 0.9981827735900879]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnc3[nH]ccc23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ncnc2[nH]ccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ncnc2[nH]ccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9999840259552002, 0.9997211694717407, 0.999600887298584, 0.9992901086807251]
+CNC(=O)c1c(F)cccc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+c1nc(-c2cnc3[nH]ccc3c2)c2cc[nH]c2n1; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1ncnc2[nH]ccc12']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Clc1ncnc2[nH]ccc12', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999987483024597, 0.9999903440475464, 0.9999608397483826, 0.9999527931213379, 0.9998586177825928, 0.9978806376457214]
+c1nc(-c2ccc(N3CCOCC3)cc2)c2cc[nH]c2n1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Clc1ncnc2[nH]ccc12']; ['Ic1ncnc2[nH]ccc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ncnc2[nH]ccc12', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.9999978542327881, 0.9999908208847046, 0.9999890327453613, 0.9999547004699707]
+CS(=O)(=O)c1ccc(-c2ncnc3[nH]ccc23)cc1; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Brc1ncnc2[nH]ccc12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.999998927116394, 0.9999884366989136, 0.9999762773513794, 0.999907374382019, 0.9997240304946899, 0.9994653463363647]
 C[C@H](Nc1ncnc2[nH]ccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@H](Nc1ncnc2[nH]ccc12)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'Brc1ncnc2[nH]ccc12']; ['Clc1ncnc2[nH]ccc12', 'C[C@H](N)C(C)(C)O']; [0.922858715057373, 0.8849494457244873]
+CC1(c2ncnc3[nH]ccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CN(c1ncnc2[nH]ccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+OCc1ccn(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
+C[C@@H](Nc1ncnc2[nH]ccc12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Clc1ncnc2[nH]ccc12']; [0.922858715057373]
+Fc1cccc(Cl)c1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12', 'Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'OB(O)c1c(F)cccc1Cl', 'Clc1ncnc2[nH]ccc12', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl']; [0.9999951124191284, 0.9999383687973022, 0.9999306201934814, 0.9998180866241455, 0.9990366697311401]
+OCCc1cn(-c2ncnc3[nH]ccc23)cn1; [None]; [None]; [0]
+c1nc(-c2ccc(-n3cncn3)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
+Cc1cc(-c2ncnc3[nH]ccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+COc1ccc(-c2ncnc3[nH]ccc23)c(OC)c1; ['Brc1ncnc2[nH]ccc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Brc1ncnc2[nH]ccc12', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Clc1ncnc2[nH]ccc12', 'COc1ccc(B(O)O)c(OC)c1', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9999728202819824, 0.999870777130127, 0.9995554685592651, 0.9991463422775269, 0.9988971948623657]
+O=C(c1ccccc1)c1ccc(-c2ncnc3[nH]ccc23)cc1; ['Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Brc1ncnc2[nH]ccc12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Ic1ncnc2[nH]ccc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Clc1ncnc2[nH]ccc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9999879598617554, 0.999956488609314, 0.9997602701187134, 0.9992009997367859, 0.9991192817687988, 0.9906454682350159]
+CSc1nc(C)c(-c2ncnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+Oc1ccc2nc(-c3ncnc4[nH]ccc34)[nH]c2c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ncnc3[nH]ccc23)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
+c1nc(-c2nncn2C2CC2)c2cc[nH]c2n1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ncnc5[nH]ccc45)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1ncnc2[nH]ccc12)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1ncnc2[nH]ccc12)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ncnc4[nH]ccc34)nn2)cc1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ncnc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2ncnc3[nH]ccc23)s1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncnc3[nH]ccc23)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ncnc2[nH]ccc12; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2ncnc3[nH]ccc23)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3ncnc4[nH]ccc34)nc2NC1=O; [None]; [None]; [0]
+CCc1cc(-c2ncnc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncnc4[nH]ccc34)c2)cc1; [None]; [None]; [0]
-COc1ccc(Oc2ncnc3[nH]ccc23)c(F)c1F; [None]; [None]; [0]
+c1ccc2sc(-c3ncnc4[nH]ccc34)nc2c1; [None]; [None]; [0]
+[NH3+]Cc1ccc(Oc2ncnc3[nH]ccc23)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ncnc3[nH]ccc23)CC1; [None]; [None]; [0]
+c1cc(-c2ncnc3[nH]ccc23)c2sccc2c1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; ['Clc1ncnc2[nH]ccc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9997950792312622, 0.9991593360900879, 0.994988203048706, 0.938745379447937]
 c1cc(-c2ncnc3[nH]ccc23)c2snnc2c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3ncnc4[nH]ccc34)nc2NC1=O; [None]; [None]; [0]
+Nc1cncc(-c2ncnc3[nH]ccc23)n1; [None]; [None]; [0]
+c1cnc2c(-c3ncnc4[nH]ccc34)c[nH]c2c1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Clc1ncnc2[nH]ccc12']; [0.9975446462631226]
+COc1ccc(C#N)cc1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1ncnc2[nH]ccc12', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O']; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1ncnc2[nH]ccc12', 'COc1ccc(C#N)cc1B(O)O', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9999942779541016, 0.9999842643737793, 0.9999737739562988, 0.9999560117721558, 0.9998805522918701, 0.9997206330299377]
+c1ccc2nc(-c3ncnc4[nH]ccc34)ncc2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ncnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2ncnc3[nH]ccc23)nc2ccccc12; [None]; [None]; [0]
+OCCn1cnc(-c2ncnc3[nH]ccc23)c1; [None]; [None]; [0]
+COc1ccc(Oc2ncnc3[nH]ccc23)c(F)c1F; ['Brc1ncnc2[nH]ccc12', 'COc1ccc(O)c(F)c1F']; ['COc1ccc(O)c(F)c1F', 'Clc1ncnc2[nH]ccc12']; [0.9962990283966064, 0.9893008470535278]
+COc1ccc(OC)c(-c2ncnc3[nH]ccc23)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['Ic1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9981816411018372, 0.9980639219284058, 0.9950365424156189, 0.9925572872161865]
+CN(C)S(=O)(=O)c1cccc(-c2ncnc3[nH]ccc23)c1; ['Brc1ncnc2[nH]ccc12', 'Brc1ncnc2[nH]ccc12', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Brc1ncnc2[nH]ccc12']; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; [0.9999992847442627, 0.9999963045120239, 0.9999961853027344, 0.9999892115592957, 0.999945878982544, 0.9999186992645264, 0.9969014525413513]
+COc1ncccc1-c1ncnc2[nH]ccc12; ['Brc1ncnc2[nH]ccc12', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Brc1ncnc2[nH]ccc12', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12', 'COc1ncccc1B(O)O', 'Ic1ncnc2[nH]ccc12', 'Clc1ncnc2[nH]ccc12']; [0.9999852180480957, 0.9999773502349854, 0.9998505115509033, 0.9989792108535767, 0.9982308745384216, 0.9913426637649536]
+c1ccc2[nH]c(C3CCN(c4ncnc5[nH]ccc45)CC3)nc2c1; ['Clc1ncnc2[nH]ccc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9997718334197998]
+c1nc(-c2ncc3cc[nH]c3n2)c2cc[nH]c2n1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'CNC(=O)c1ccccc1B(O)O']; ['CNC(=O)c1ccccc1B(O)O', 'Clc1ncnc2ccccc12']; [0.998666524887085, 0.9924081563949585]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ncnc3[nH]ccc23)C1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'Brc1ncnc2[nH]ccc12']; ['Clc1ncnc2[nH]ccc12', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.9999824166297913, 0.9998341798782349]
+CCOc1ccccc1-c1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'Brc1ncnc2ccccc12']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'CCOc1ccccc1Br']; [0.9999722242355347, 0.9997444152832031, 0.9993520975112915, 0.9976580142974854, 0.9838494062423706]
 O=C(Nc1cccc(-c2ncnc3[nH]ccc23)c1)C1CCNCC1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ncnc3[nH]ccc23)CC1; [None]; [None]; [0]
+COC(C)(C)CCc1ncnc2ccccc12; ['COC(C)(C)CBr']; ['Cc1ncnc2ccccc12']; [0.9046578407287598]
+CN(C)c1cc(-c2ncnc3[nH]ccc23)cnn1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ncnc2ccccc12; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Cc1ncnc2ccccc12', 'Fc1cc(F)cc(CCl)c1', 'Clc1ncnc2ccccc12', 'Cc1cc(F)cc(F)c1']; ['Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1', 'Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(C[Mg]Cl)c1', 'Fc1cc(F)cc(Br)c1', 'c1ccc2ncncc2c1', 'Fc1cc(F)cc(CBr)c1', 'c1ccc2ncncc2c1']; [0.999911367893219, 0.9998003244400024, 0.9985675811767578, 0.9975805282592773, 0.9941663146018982, 0.9920799136161804, 0.9919472336769104, 0.7925311923027039]
+CC(C)S(=O)(=O)c1ccccc1-c1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Brc1ncnc2ccccc12', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'CC(C)S(=O)(=O)c1ccccc1Br', 'c1ccc2ncncc2c1']; [0.9999630451202393, 0.9998434782028198, 0.9995710253715515, 0.9990359544754028, 0.9982845187187195]
+CCn1cc(-c2ncnc3ccccc23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; [0.9984170198440552, 0.9589900970458984]
+FC(F)(F)c1cccc(-c2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['OB(O)c1cccc(C(F)(F)F)c1', 'Clc1ncnc2ccccc12']; [0.9996939301490784, 0.9990787506103516]
+FC(F)(F)Oc1ccccc1-c1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; ['OB(O)c1ccccc1OC(F)(F)F', 'Clc1ncnc2ccccc12', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1']; [0.9998834133148193, 0.9997568130493164, 0.9996405839920044, 0.9213687777519226]
+c1ccc2c(-c3ncnc4ccccc34)ccnc2c1; ['Brc1ncnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'Br[Mg]c1ccnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Brc1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'Brc1ncnc2ccccc12', 'Oc1ncnc2ccccc12']; [0.999901294708252, 0.9988114833831787, 0.994171679019928, 0.9914422035217285, 0.9770492911338806, 0.9765504598617554, 0.9735912084579468, 0.7882795929908752]
+O=C([O-])c1ccccc1-c1ncnc2ccccc12; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ncnc4ccccc34)cn2)cc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Clc1ncnc2ccccc12']; ['Clc1ncnc2ccccc12', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9983425140380859, 0.9935360550880432]
+NC(=O)c1ccccc1-c1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Clc1ncnc2ccccc12', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B1OCCCO1']; [0.9999786615371704, 0.9993298053741455, 0.9978978037834167, 0.9744323492050171, 0.9723290801048279, 0.9708939790725708]
+Cc1nnc(-c2ccccc2-c2ncnc3ccccc23)[nH]1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ncnc4ccccc34)cc2c1=O; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ncnc3ccccc23)c1)c1ccccc1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Clc1ncnc2ccccc12']; [0.9997178316116333, 0.9984188079833984, 0.9958141446113586]
+OCCn1cc(-c2ncnc3ccccc23)cn1; [None]; [None]; [0]
+CC(C)C(=O)COc1ncnc2ccccc12; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Oc1ncnc2ccccc12', 'Oc1ncnc2ccccc12']; [0.8530799150466919, 0.7611643671989441]
+Clc1ccc(Cl)c(-c2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ncnc2ccccc12', 'Clc1ccc(Cl)cc1']; ['OB(O)c1cc(Cl)ccc1Cl', 'Clc1ncnc2ccccc12', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ncnc2ccccc12']; [0.9999538064002991, 0.9997648000717163, 0.9987425804138184, 0.8720798492431641]
+Cc1nc2ccccn2c1-c1ncnc2ccccc12; [None]; [None]; [0]
+c1ccc2c(-c3cnc4ccccn34)ncnc2c1; [None]; [None]; [0]
+Cc1ccc(-c2ncnc3ccccc23)c(Br)c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Cc1ccc(B(O)O)c(Br)c1', 'Brc1ncnc2ccccc12', 'Cc1ccc(B(O)O)c(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Clc1ncnc2ccccc12', 'Cc1ccc(Br)c(Br)c1', 'c1ccc2ncncc2c1']; [0.9997233748435974, 0.9991343021392822, 0.9979145526885986, 0.9834694862365723, 0.8859063982963562]
+c1ccc(-c2ncc(-c3ncnc4ccccc34)[nH]2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ncnc3ccccc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ncnc2ccccc12; ['Brc1ncnc2ccccc12']; ['Cc1csc(N)n1']; [0.9813045263290405]
+CC(C)(C)c1nc(-c2ncnc3ccccc23)cs1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1ncnc2ccccc12; [None]; [None]; [0]
+COc1cnc(-c2ncnc3ccccc23)nc1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ncnc3ccccc23)s1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ncnc2ccccc12; ['Clc1ncnc2ccccc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9802865982055664]
+Cc1ccc(Cl)c(-c2ncnc3ccccc23)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; [0.9994384050369263, 0.9946371912956238]
+Brc1cccc(-c2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Clc1ncnc2ccccc12', 'OB(O)c1cccc(Br)c1']; ['OB(O)c1cccc(Br)c1', 'Clc1ncnc2ccccc12', 'OB(O)c1cccc(Br)c1', 'c1ccc2ncncc2c1']; [0.9995397925376892, 0.9982975721359253, 0.9981215000152588, 0.9677407741546631]
+c1cncc(CNc2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12', 'NCc1cccnc1', 'Brc1ncnc2ccccc12', 'NCc1cccnc1']; ['NCc1cccnc1', 'Oc1ncnc2ccccc12', 'NCc1cccnc1', 'O=c1[nH]cnc2ccccc12']; [0.9999910593032837, 0.9999405145645142, 0.9999300241470337, 0.997699499130249]
+c1ccc2cc(-c3ncnc4ccccc34)ccc2c1; ['Clc1ncnc2ccccc12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C']; ['OB(O)c1ccc2ccccc2c1', 'Clc1ncnc2ccccc12']; [0.9998727440834045, 0.9996104836463928]
 Cc1c(-c2ncnc3ccccc23)sc(=O)n1C; [None]; [None]; [0]
-c1ccc2c(-c3cnn4ncccc34)ncnc2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ncnc3ccccc23)o1; [None]; [None]; [0]
+c1cncc(Nc2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1cccnc1', 'Clc1cccnc1', 'Ic1cccnc1', 'Brc1cccnc1']; ['Nc1cccnc1', 'Nc1cccnc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9997968673706055, 0.9996918439865112, 0.9980448484420776, 0.9954091906547546, 0.9524680376052856, 0.8809769749641418]
+c1ccc2c(-n3cnc4ccccc43)ncnc2c1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.999982476234436, 0.9999717473983765]
+O=C(Nc1ncnc2ccccc12)c1cccs1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['NC(=O)c1cccs1', 'NC(=O)c1cccs1', 'O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9999113082885742, 0.9997808933258057, 0.9994189739227295, 0.9864643216133118]
+c1ccc2c(NCCc3c[nH]cn3)ncnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'NCCc1c[nH]cn1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'O=c1[nH]cnc2ccccc12']; [0.999939501285553, 0.999853253364563, 0.9992077350616455]
+c1ccc2c(-c3cnn4ncccc34)ncnc2c1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Clc1ncnc2ccccc12']; [0.9994041919708252]
+c1cc(Cn2cncn2)cc(-c2ncnc3ccccc23)c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1ncnc2ccccc12; [None]; [None]; [0]
+c1ccc(CCNc2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12', 'NCCc1ccccc1']; ['NCCc1ccccc1', 'O=c1[nH]cnc2ccccc12']; [0.9999939203262329, 0.9992804527282715]
+FC(F)(F)c1n[nH]cc1-c1ncnc2ccccc12; ['Clc1ncnc2ccccc12', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['FC(F)(F)c1n[nH]cc1Br', 'Clc1ncnc2ccccc12']; [0.9868208169937134, 0.9606546759605408]
+Nc1nccc(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
+c1ccc2c(-c3cnc4cccnn34)ncnc2c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ncnc4ccccc34)cc2)cn1; ['Clc1ncnc2ccccc12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [0.9996614456176758]
+c1ccc2c(-c3ncnc4ccccc34)cncc2c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Br[Mg]c1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Clc1ncnc2ccccc12', 'Ic1cncc2ccccc12', 'Brc1cncc2ccccc12']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1cncc2ccccc12', 'Clc1ncnc2ccccc12', 'c1ccc2ncncc2c1', 'c1ccc2ncncc2c1', 'Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'OB(O)c1cncc2ccccc12', 'c1ccc2ncncc2c1', 'Clc1ncnc2ccccc12']; [0.9999799132347107, 0.9997133016586304, 0.9995471239089966, 0.9988987445831299, 0.9986070990562439, 0.9983373880386353, 0.9979850053787231, 0.99788498878479, 0.9977116584777832, 0.99366295337677]
+Nc1[nH]nc2cc(-c3ncnc4ccccc34)ccc12; ['Brc1ncnc2ccccc12', 'Nc1[nH]nc2cc(Br)ccc12']; ['Nc1[nH]nc2cc(Br)ccc12', 'c1ccc2ncncc2c1']; [0.9926248788833618, 0.9653428196907043]
+Clc1ccc(CNc2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12', 'NCc1ccc(Cl)cc1']; ['NCc1ccc(Cl)cc1', 'O=c1[nH]cnc2ccccc12']; [0.999970555305481, 0.9992510080337524]
 CN1c2ccc(-c3ncnc4ccccc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ncnc4ccccc34)ccc21; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(I)ccc21']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'c1ccc2ncncc2c1', 'c1ccc2ncncc2c1']; [0.9999963641166687, 0.9998966455459595, 0.9998236894607544, 0.9646345376968384, 0.9612778425216675]
+O=C([O-])Cc1cccc(-c2ncnc3ccccc23)c1; [None]; [None]; [0]
+c1ccc2c(Nc3ccncc3)ncnc2c1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1ccncc1', 'Brc1ccncc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998751878738403, 0.9998661279678345, 0.9992587566375732, 0.9729118943214417]
+c1ccc2c(-c3ccc(-c4cn[nH]c4)cc3)ncnc2c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Clc1ncnc2ccccc12', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Clc1ncnc2ccccc12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Brc1ncnc2ccccc12']; [0.9999960660934448, 0.9999490976333618, 0.9995877742767334, 0.9985820055007935, 0.9976334571838379]
+Fc1ccccc1CNc1ncnc2ccccc12; ['Clc1ncnc2ccccc12', 'NCc1ccccc1F', 'NCc1ccccc1F']; ['NCc1ccccc1F', 'Oc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999966025352478, 0.9999919533729553, 0.9992635250091553]
+OCc1cccc(-c2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'Clc1ncnc2ccccc12']; [0.9995089173316956, 0.9987373948097229, 0.9926831722259521, 0.9908734560012817]
+Oc1cccc(-c2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; ['OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1']; [0.9998985528945923, 0.9973452091217041, 0.9893024563789368]
+CCCn1cnc(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
 COc1cc(-c2ncnc3ccccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)n1cc(-c2ncnc3ccccc23)nn1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12']; ['N#CCCc1cccc(B(O)O)c1']; [0.9998360872268677]
 c1ccc2c(CCc3c[nH]nn3)ncnc2c1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ncnc2ccccc12; [None]; [None]; [0]
-O=C(Nc1ncnc2ccccc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+c1ccc2c(-c3csc4ncncc34)ncnc2c1; [None]; [None]; [0]
+CSc1nc(-c2ncnc3ccccc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ncnc2ccccc12; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ncnc4ccccc34)cc2c1; ['Brc1ncnc2ccccc12', 'Brc1c[nH]c2ccccc12']; ['CC(C)(C)OC(=O)n1c(B(O)O)cc2ccccc21', 'c1ccc2ncncc2c1']; [1.0, 0.9964805841445923]
+CCC(=O)Nc1ccc(-c2ncnc3ccccc23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1ncnc2ccccc12']; [0.9989110231399536]
+Nc1ncncc1-c1ncnc2ccccc12; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12']; ['Nc1ncncc1Br', 'Nc1ncncc1Br']; [0.9917278289794922, 0.9907373785972595]
+c1ccc(Oc2ncnc3ccccc23)nc1; ['Clc1ncnc2ccccc12', 'Clc1ccccn1', 'Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Fc1ccccn1', 'Brc1ccccn1', 'Ic1ccccn1', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12']; ['[O-]c1ccccn1', 'Oc1ncnc2ccccc12', '[O-]c1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ncnc2ccccc12', 'Oc1ncnc2ccccc12', 'Oc1ncnc2ccccc12', 'Oc1ccccn1', '[O-][n+]1ccccc1']; [0.999382734298706, 0.9991165399551392, 0.9981352686882019, 0.9937334656715393, 0.9900963306427002, 0.9747386574745178, 0.937767744064331, 0.9299492835998535, 0.8815407752990723, 0.8093900084495544]
+Fc1ccc(-c2ncnc3ccccc23)c(C(F)(F)F)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'OB(O)c1ccc(F)cc1C(F)(F)F']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'c1ccc2ncncc2c1']; [0.9999217391014099, 0.9979564547538757, 0.997697114944458, 0.996757984161377, 0.9913139343261719]
+NC(=O)CCCc1ncnc2ccccc12; [None]; [None]; [0]
+O=C(Nc1ncnc2ccccc12)c1c(Cl)cccc1Cl; ['Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['O=C(O)c1c(Cl)cccc1Cl', 'O=C(Cl)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl']; [0.9998581409454346, 0.999842643737793, 0.9996106028556824, 0.9646506309509277]
+CCNc1nc2ccc(-c3ncnc4ccccc34)cc2s1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ncnc3ccccc23)CC1; ['CS(=O)(=O)C1CCNCC1', 'Brc1ncnc2ccccc12', 'CS(=O)(=O)C1CCNCC1']; ['Clc1ncnc2ccccc12', 'CS(=O)(=O)C1CCNCC1', 'Oc1ncnc2ccccc12']; [0.9999539852142334, 0.9989253878593445, 0.9981297850608826]
+CC(=O)Nc1cccc(-c2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; [0.9999089241027832, 0.9993807673454285, 0.9968096017837524, 0.9961817264556885]
+Nc1nc(-c2ncnc3ccccc23)cs1; [None]; [None]; [0]
 CC(C)(COc1ncnc2ccccc12)S(C)(=O)=O; [None]; [None]; [0]
+Cn1cc(-c2ncnc3ccccc23)c2ccccc21; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; [0.9997602701187134, 0.9915003776550293, 0.9911624193191528]
+COc1ccc(-c2ncnc3ccccc23)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; [0.9998486042022705, 0.9995468854904175]
+CCCn1cc(-c2ncnc3ccccc23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; [0.9997338056564331, 0.9889984726905823]
+CC(C)(O)CC(=O)NCCc1ncnc2ccccc12; [None]; [None]; [0]
+O=c1cc(-c2ncnc3ccccc23)cc[nH]1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Clc1ncnc2ccccc12']; [0.9912555813789368]
+COc1cc(CCc2ncnc3ccccc23)cc(OC)c1; ['COc1cc(CCl)cc(OC)c1', 'COc1cc(CBr)cc(OC)c1']; ['Cc1ncnc2ccccc12', 'Cc1ncnc2ccccc12']; [0.9947149753570557, 0.981829822063446]
+c1ccc2c(-c3cnn4ccccc34)ncnc2c1; ['Brc1ncnc2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1cnn2ccccc12', 'Ic1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1ncnc2ccccc12', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'c1ccc2ncncc2c1', 'c1ccc2ncncc2c1', 'c1ccc2ncncc2c1']; [0.9999305009841919, 0.9995371103286743, 0.9992102980613708, 0.9984449148178101, 0.9954624772071838, 0.995197057723999, 0.9742885828018188]
+O=C1CCc2cccc(-c3ncnc4ccccc34)c21; [None]; [None]; [0]
+C[C@@H](Oc1ncnc2ccccc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'Brc1ncnc2ccccc12', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Oc1ncnc2ccccc12', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9854806661605835, 0.980322539806366, 0.9404823780059814, 0.8771758079528809]
+CC(C)(N)c1ccc(-c2ncnc3ccccc23)cc1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ncnc3ccccc23)cc1; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; [0.9974615573883057, 0.9697410464286804]
+CCN(CC)c1ncnc2ccccc12; ['CCNCC', 'Brc1ncnc2ccccc12', 'CCNCC']; ['Clc1ncnc2ccccc12', 'CCNCC', 'O=c1[nH]cnc2ccccc12']; [0.9996904134750366, 0.9990877509117126, 0.9951623678207397]
+CCNS(=O)(=O)c1ccccc1-c1ncnc2ccccc12; [None]; [None]; [0]
+COc1ccncc1Nc1ncnc2ccccc12; ['COc1ccncc1N', 'Brc1ncnc2ccccc12', 'COc1ccncc1Br', 'COc1ccncc1I', 'COc1ccncc1N']; ['Clc1ncnc2ccccc12', 'COc1ccncc1N', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9998916983604431, 0.9998081922531128, 0.9991316795349121, 0.9989782571792603, 0.9978417158126831]
+c1ccc(-c2ccncc2Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cnccc1-c1ccccc1', 'Brc1cnccc1-c1ccccc1', 'Nc1ncnc2ccccc12']; ['Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'OB(O)c1cnccc1-c1ccccc1']; [0.9999816417694092, 0.9999498724937439, 0.9988081455230713, 0.9979463815689087, 0.9892153739929199]
+CC(C)(C)c1ccc(-c2ncnc3ccccc23)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; [0.9992262721061707, 0.99788498878479]
 [NH3+]Cc1ccc(-c2ncnc3ccccc23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ncnc2ccccc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ncnc4ccccc34)cc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'c1ccc2ncncc2c1']; [0.999992847442627, 0.999990701675415, 0.9999294281005859, 0.9998982548713684, 0.9958822727203369]
+c1ccc2ncc(Nc3ncnc4ccccc34)cc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Nc1ncnc2ccccc12', 'Nc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Fc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'OB(O)c1cnc2ccccc2c1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999837875366211, 0.9993458390235901, 0.9980144500732422, 0.9961780309677124, 0.9939932823181152, 0.9677269458770752, 0.9636020660400391, 0.9173876047134399, 0.8411366939544678]
+COc1cccc(F)c1-c1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'Brc1ncnc2ccccc12', 'COc1cccc(F)c1', 'COc1cccc(F)c1Br']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'c1ccc2ncncc2c1', 'COc1cccc(F)c1Br', 'Clc1ncnc2ccccc12', 'c1ccc2ncncc2c1']; [0.999987006187439, 0.999947190284729, 0.9998393058776855, 0.9998201727867126, 0.9996898174285889, 0.9994274377822876, 0.9987492561340332, 0.9985673427581787, 0.9978858828544617, 0.9954369068145752]
 O=c1[nH]cc(Br)c2sc(-c3ncnc4ccccc34)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2ncnc3ccccc23)cc1; [None]; [None]; [0]
-CN(c1ncnc2ccccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+c1ccc2c(-c3c[nH]c4cnccc34)ncnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12', 'Clc1ncnc2ccccc12']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'c1ccc2ncncc2c1', 'Clc1ncnc2ccccc12', 'c1cc2cc[nH]c2cn1']; [0.9998906850814819, 0.9980742931365967, 0.9974737167358398, 0.9951039552688599, 0.9589219689369202]
+CNC(=O)c1c(F)cccc1-c1ncnc2ccccc12; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ncnc2ccccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1ncnc2ccccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2ccccc12']; [0.9999569654464722, 0.9996523261070251, 0.9993574619293213, 0.9969702959060669]
+c1ccc2c(-c3cnc4[nH]ccc4c3)ncnc2c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1ncnc2ccccc12', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'Clc1ncnc2ccccc12', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1ncnc2ccccc12', 'c1ccc2ncncc2c1']; [0.9999889135360718, 0.9999409914016724, 0.9994586110115051, 0.998862087726593, 0.9947451949119568, 0.9073066711425781]
+CNS(=O)(=O)c1ccc(-c2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ncnc2ccccc12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1ncnc2ccccc12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2ccccc12']; [0.9998470544815063, 0.9988831281661987, 0.994530200958252, 0.9756186604499817]
+c1ccc2c(-c3ccc(N4CCOCC4)cc3)ncnc2c1; ['Brc1ncnc2ccccc12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Clc1ncnc2ccccc12', 'Brc1ccc(N2CCOCC2)cc1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ncnc2ccccc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ncnc2ccccc12']; [0.9999837875366211, 0.9997439384460449, 0.9994759559631348, 0.973759651184082]
 C[C@H](Nc1ncnc2ccccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Brc1ncnc2ccccc12', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Clc1ncnc2ccccc12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2ccccc12']; [0.9999915957450867, 0.9998364448547363, 0.9997125864028931, 0.9969245195388794]
+CC1(c2ncnc3ccccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@H](Nc1ncnc2ccccc12)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'Brc1ncnc2ccccc12', 'C[C@H](N)C(C)(C)O']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'C[C@H](N)C(C)(C)O', 'Oc1ncnc2ccccc12']; [0.9985202550888062, 0.9941515922546387, 0.9890918731689453, 0.80387282371521]
+CN(c1ncnc2ccccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@@H](Nc1ncnc2ccccc12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'Brc1ncnc2ccccc12', 'C[C@@H](N)C(C)(C)O']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'C[C@@H](N)C(C)(C)O', 'Oc1ncnc2ccccc12']; [0.9985202550888062, 0.9941515922546387, 0.9890918731689453, 0.80387282371521]
+OCc1ccn(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'OB(O)c1c(F)cccc1Cl']; ['OB(O)c1c(F)cccc1Cl', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Clc1ncnc2ccccc12', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br', 'c1ccc2ncncc2c1']; [0.999977707862854, 0.9999310970306396, 0.9994655251502991, 0.9984803795814514, 0.9984036684036255, 0.9858881235122681]
+c1ccc2c(c1)cnn2-c1ncnc2ccccc12; ['Clc1ncnc2ccccc12', 'c1ccc2[nH]ncc2c1', 'Brc1ncnc2ccccc12']; ['c1ccc2[nH]ncc2c1', 'c1ccc2ncncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9999421238899231, 0.9994751214981079, 0.9990822076797485]
+Cc1cc(-c2ncnc3ccccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+c1ccc2c(-c3ccc(-n4cncn4)cc3)ncnc2c1; [None]; [None]; [0]
+OCCc1cn(-c2ncnc3ccccc23)cn1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ncnc3ccccc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ncnc3ccccc23)c(OC)c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'Brc1ncnc2ccccc12', 'COc1cccc(OC)c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'c1ccc2ncncc2c1', 'COc1ccc(Br)c(OC)c1', 'Clc1ncnc2ccccc12']; [0.9999949932098389, 0.9999740719795227, 0.999916672706604, 0.9998543858528137, 0.9974700808525085, 0.9956040978431702, 0.978262186050415]
+Oc1ccc2nc(-c3ncnc4ccccc34)[nH]c2c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ncnc2ccccc12; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ncnc3ccccc23)cc1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ncnc5ccccc45)n3n2)cc1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
+c1ccc2c(-c3nncn3C3CC3)ncnc2c1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ncnc2ccccc12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ncnc3ccccc23)CC1; [None]; [None]; [0]
+O=C(CCc1ncnc2ccccc12)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1ncnc2ccccc12)NCc1ccccn1; [None]; [None]; [0]
+CCc1cc(-c2ncnc3ccccc23)nc(N)n1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ncnc4ccccc34)nn2)cc1; [None]; [None]; [0]
+CCCCc1cc(-c2ncnc3ccccc23)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2ncnc3ccccc23)s1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncnc3ccccc23)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ncnc2ccccc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
+c1ccc2sc(-c3ncnc4ccccc34)nc2c1; ['Brc1ncnc2ccccc12', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Cc1ncnc2ccccc12']; ['c1ccc2scnc2c1', 'Clc1ncnc2ccccc12', 'Nc1ccccc1']; [0.9993934631347656, 0.9942781329154968, 0.980993926525116]
 [NH3+]Cc1ccc(Oc2ncnc3ccccc23)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ncnc3ccccc23)CC1; [None]; [None]; [0]
+c1cc(-c2ncnc3ccccc23)c2sccc2c1; ['Brc1ncnc2ccccc12', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1cccc2ccsc12']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Clc1ncnc2ccccc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'c1ccc2ncncc2c1']; [0.9999954104423523, 0.9998641610145569, 0.998558521270752, 0.9896630048751831, 0.9429098963737488]
+c1ccc2c(-c3cccc4nnsc34)ncnc2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ncnc4ccccc34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncnc4ccccc34)c2)cc1; [None]; [None]; [0]
-c1ccc2c(-c3cccc4nnsc34)ncnc2c1; [None]; [None]; [0]
-COc1ccc(Oc2ncnc3ccccc23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-n3ncc4cccc(F)c4c3=O)cc12; [None]; [None]; [0]
+Nc1cncc(-c2ncnc3ccccc23)n1; [None]; [None]; [0]
+c1ccc2c(-c3c[nH]c4cccnc34)ncnc2c1; ['Brc1ncnc2ccccc12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Ic1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12', 'c1ccc2ncncc2c1', 'Clc1ncnc2ccccc12']; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Clc1ncnc2ccccc12', 'c1ccc2ncncc2c1', 'c1ccc2ncncc2c1', 'c1cnc2cc[nH]c2c1', 'c1cnc2cc[nH]c2c1']; [0.9999738931655884, 0.9955391883850098, 0.9931809902191162, 0.9926186800003052, 0.9802581667900085, 0.9464554190635681]
+CC(=O)Nc1ncc(-c2ncnc3ccccc23)[nH]1; [None]; [None]; [0]
+OCCn1cnc(-c2ncnc3ccccc23)c1; [None]; [None]; [0]
+c1ccc2nc(-c3ncnc4ccccc34)ncc2c1; [None]; [None]; [0]
+COc1ccc(Oc2ncnc3ccccc23)c(F)c1F; ['Brc1ncnc2ccccc12', 'COc1ccc(B(O)O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['COc1ccc(O)c(F)c1F', 'Oc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Oc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'Oc1ncnc2ccccc12']; [0.9988541007041931, 0.9958246946334839, 0.9950743913650513, 0.9843642711639404, 0.9360504746437073, 0.9136466979980469, 0.8774888515472412]
+Nc1nc(-c2ncnc3ccccc23)nc2ccccc12; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ncnc3ccccc23)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)cc1']; ['Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; [0.9994934797286987, 0.9962270259857178, 0.9945340752601624, 0.8411888480186462]
+c1ccc2c(-c3ncc4cc[nH]c4n3)ncnc2c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ncnc2ccccc12; [None]; [None]; [0]
+COc1ncccc1-c1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'COc1ccccn1', 'Brc1ncnc2ccccc12', 'COc1ncccc1Br']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'c1ccc2ncncc2c1', 'c1ccc2ncncc2c1', 'Clc1ncnc2ccccc12', 'COc1ncccc1Br', 'c1ccc2ncncc2c1']; [0.999985933303833, 0.9998847246170044, 0.9998378753662109, 0.9991500377655029, 0.9978638291358948, 0.9964266419410706, 0.9947205781936646, 0.9941122531890869, 0.9905226230621338, 0.9893375635147095]
+c1ccc2[nH]c(C3CCN(c4ncnc5ccccc45)CC3)nc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2ncncc2c1']; [0.9998756647109985, 0.9994555711746216, 0.9979006052017212, 0.9966362118721008]
+CN(C)S(=O)(=O)c1cccc(-c2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Brc1ncnc2ccccc12']; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'c1ccc2ncncc2c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; [0.999976396560669, 0.999962329864502, 0.9998515248298645, 0.9997348785400391, 0.9993191361427307, 0.9956278800964355]
+CNC(=O)c1ccccc1-c1ccc2[nH]nc(C)c2c1; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1Br']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.999998152256012, 0.9999945759773254, 0.9999904632568359, 0.9999483227729797, 0.9994573593139648, 0.9980961084365845, 0.9874005913734436, 0.9828822612762451, 0.9050477743148804]
+CCOc1ccccc1-c1ccc2[nH]nc(C)c2c1; ['CCOc1ccccc1Br', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Cl', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Cl', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999911785125732, 0.9999822378158569, 0.9998869299888611, 0.9998680353164673, 0.9997289180755615, 0.9994990825653076, 0.9989386796951294, 0.9841513633728027, 0.9557734131813049]
+COC(C)(C)CCc1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ncnc3ccccc23)c1)C1CCNCC1; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3ccccc3S(=O)(=O)C(C)C)cc12; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999946355819702, 0.9999566674232483, 0.9983915090560913]
+C[C@@]1(O)CC[C@H](c2ncnc3ccccc23)CC1; [None]; [None]; [0]
+CN(C)c1cc(-c2ncnc3ccccc23)cnn1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ncnc3ccccc23)C1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3[nH]nc(C)c3c2)[nH]1; [None]; [None]; [0]
+Cc1n[nH]c2ccc(Cc3cc(F)cc(F)c3)cc12; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccccc12']; ['Fc1cc(F)cc(CBr)c1', 'Fc1cc(F)cc(CCl)c1']; [0.9989354610443115, 0.9756331443786621]
+CCn1cc(-c2ccc3[nH]nc(C)c3c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(Cl)cn1', 'CCn1cc(I)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(Cl)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Br)cn1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [1.0, 0.9999998807907104, 0.9999997615814209, 0.9999996423721313, 0.9999971985816956, 0.999996542930603, 0.9999937415122986, 0.999991238117218, 0.9999891519546509, 0.9997602701187134, 0.9972243309020996]
+Cc1n[nH]c2ccc(-c3ccccc3C(=O)[O-])cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12']; ['O=C([O-])c1ccccc1']; [0.9771898984909058]
+Cc1n[nH]c2ccc(-c3ccccc3P(C)(C)=O)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3ccccc3OC(F)(F)F)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'Cc1n[nH]c2ccc(Br)cc12', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Cl', 'Cc1n[nH]c2ccc(Cl)cc12', 'FC(F)(F)Oc1ccccc1Cl', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Cl', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br']; [0.9999983310699463, 0.9999874830245972, 0.9999803304672241, 0.9999788999557495, 0.9999726414680481, 0.9999446272850037, 0.9999428987503052, 0.9999097585678101, 0.9997709393501282, 0.9994354248046875, 0.9992795586585999, 0.9986580014228821, 0.9967710375785828, 0.9961790442466736]
+Cc1n[nH]c2ccc(-c3cccc(C(F)(F)F)c3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccccc12']; ['FC(F)(F)c1cccc(Br)c1', 'Cc1n[nH]c2ccc(Br)cc12', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Cl)c1', 'Cc1n[nH]c2ccc(Cl)cc12', 'FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'O=S(=O)(Oc1cccc(C(F)(F)F)c1)C(F)(F)F', 'FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc(Br)c1', 'F[B-](F)(F)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1ccccc1', 'FC(F)(F)c1cccc(Br)c1']; [0.9999988079071045, 0.9999982118606567, 0.9999954700469971, 0.9999915957450867, 0.9999903440475464, 0.9999855756759644, 0.9999842643737793, 0.9999768733978271, 0.9999735355377197, 0.9999452829360962, 0.9998816847801208, 0.9997510313987732, 0.9996309280395508, 0.999505341053009, 0.9981603622436523, 0.9977942705154419, 0.9764035940170288, 0.9189814329147339]
+Cc1n[nH]c2ccc(-c3ccnc4ccccc34)cc12; ['Brc1ccnc2ccccc12', 'Brc1ccnc2ccccc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Brc1ccnc2ccccc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'CCCC[Sn](CCCC)(CCCC)c1ccnc2ccccc12']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Ic1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Ic1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12', 'OB(O)c1ccnc2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999982118606567, 0.9999935030937195, 0.9999893307685852, 0.9999656677246094, 0.9999633431434631, 0.9999074935913086, 0.9998111724853516, 0.9995989799499512, 0.9930001497268677, 0.9836349487304688, 0.9824917316436768, 0.8931760191917419]
+Cc1n[nH]c2ccc(-c3ccccc3C(N)=O)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'Cc1n[nH]c2ccc(Br)cc12', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br', 'Cc1n[nH]c2ccc(Cl)cc12', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1Br']; [0.9999929666519165, 0.9999926090240479, 0.9999827146530151, 0.9999819993972778, 0.9999663829803467, 0.9999288320541382, 0.9999040365219116, 0.9995096921920776, 0.9989017248153687, 0.9987921714782715, 0.9985499382019043, 0.9414854049682617]
+Cc1n[nH]c2ccc(-c3cnn(Cc4ccccc4)c3)cc12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Brc1cnn(Cc2ccccc2)c1', 'Cc1n[nH]c2ccc(Br)cc12', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'Cc1n[nH]c2ccc(Cl)cc12', 'Brc1cnn(Cc2ccccc2)c1', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'Ic1cnn(Cc2ccccc2)c1', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Cc1n[nH]c2ccc(Br)cc12', 'c1ccc(Cn2cccn2)cc1']; [0.9999997615814209, 0.9999982118606567, 0.9999961853027344, 0.9999946355819702, 0.9999933242797852, 0.9999860525131226, 0.9997525215148926, 0.9995321035385132, 0.9738528728485107]
+Cc1n[nH]c2ccc(-c3ccc4ncn(C)c(=O)c4c3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9999975562095642, 0.9999959468841553, 0.9866857528686523]
+Cc1n[nH]c2ccc(-c3csc(C(C)(C)C)n3)cc12; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.9999992847442627]
+Cc1n[nH]c2ccc(-c3cnn(CCO)c3)cc12; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'OCCn1cc(I)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(I)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1']; [0.9999997615814209, 0.9999995827674866, 0.9999991655349731, 0.9999987483024597, 0.9999986886978149, 0.9999966025352478, 0.9999837875366211, 0.9999797344207764, 0.9995325207710266, 0.9985257983207703]
+COc1cnc(-c2ccc3[nH]nc(C)c3c2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999916553497314, 0.999987006187439, 0.9999099373817444, 0.9948668479919434]
+Cc1n[nH]c2ccc(-c3cc(Cl)ccc3Cl)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'Cc1n[nH]c2ccc(Br)cc12', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Cc1n[nH]c2ccc(Cl)cc12', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Cl)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)cc1']; [0.9999974966049194, 0.9999940991401672, 0.9999879598617554, 0.9999580383300781, 0.9999326467514038, 0.9999246597290039, 0.9999204874038696, 0.9998598098754883, 0.9998303651809692, 0.9986897706985474, 0.9985335469245911, 0.9869663119316101, 0.9414246082305908]
+Cc1n[nH]c2ccc(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(OCC(=O)C(C)C)cc12; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Cc1n[nH]c2ccc(O)cc12', 'Cc1n[nH]c2ccc(O)cc12']; [0.9954898357391357, 0.9767754673957825]
+Cc1ccc(-c2ccc3[nH]nc(C)c3c2)c(Br)c1; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(I)c(Br)c1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999638795852661, 0.9998760223388672, 0.99981689453125, 0.9988305568695068, 0.9929009675979614, 0.9210923910140991, 0.9045871496200562, 0.8293962478637695]
+Cc1n[nH]c2ccc(-c3cnc4ccccn34)cc12; ['Brc1cnc2ccccn12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Brc1cnc2ccccn12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Ic1cnc2ccccn12', 'Ic1cnc2ccccn12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'O=C(O)c1cnc2ccccn12']; [0.9999992847442627, 0.999998927116394, 0.9999980330467224, 0.9999951720237732, 0.9999909400939941, 0.9999324083328247, 0.999714732170105, 0.9833064079284668]
+Cc1n[nH]c2ccc(-c3cccc(NC(=O)c4ccccc4)c3)cc12; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Cc1n[nH]c2ccc(Br)cc12', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccccc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Cc1n[nH]c2ccccc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'O=C(Nc1ccccc1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1ccccc1)c1ccccc1']; [0.9999988079071045, 0.99998939037323, 0.9999577403068542, 0.9999516010284424, 0.9997265338897705, 0.9992735385894775, 0.9988003373146057, 0.9872027635574341]
+Cc1nc(C)c(-c2ccc3[nH]nc(C)c3c2)s1; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1csc(C)n1']; ['Cc1nc(C)c(Br)s1', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(Br)s1', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999994039535522, 0.9999969601631165, 0.9999836087226868, 0.9826540350914001]
+Cc1nc2ccccn2c1-c1ccc2[nH]nc(C)c2c1; ['Cc1cn2ccccc2n1', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1cn2ccccc2n1', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1nc2ccccn2c1Br', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'Cc1nc2ccccn2c1I', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1nc2ccccn2c1C(=O)O']; [0.9999995231628418, 0.999997615814209, 0.9999970197677612, 0.9999946355819702, 0.9999924302101135, 0.9999860525131226, 0.9984540939331055]
+Cc1n[nH]c2ccc(-c3cnc4cccnn34)cc12; ['Brc1cnc2cccnn12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9999962449073792]
+CNc1nc(C)c(-c2ccc3[nH]nc(C)c3c2)s1; ['CNc1nc(C)c(Br)s1', 'CNc1nc(C)c(Br)s1', 'CNc1nc(C)cs1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999925494194031, 0.9997910261154175, 0.9953866600990295]
+Cc1nc(N)sc1-c1ccc2[nH]nc(C)c2c1; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['Cc1nc(N)sc1Br', 'Cc1nc(N)sc1I', 'Cc1nc(N)sc1Br']; [0.9999988079071045, 0.9999977350234985, 0.9999893307685852]
+Cc1n[nH]c2ccc(-c3c(Cl)cccc3Cl)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl', 'Fc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1']; [0.9999977946281433, 0.9999963045120239, 0.9999734163284302, 0.9998811483383179, 0.9998739957809448, 0.9998515844345093, 0.9997928142547607, 0.9987163543701172, 0.9981476068496704, 0.9909459948539734, 0.9905565977096558, 0.9712908267974854, 0.9321140646934509]
+Cc1n[nH]c2ccc(-n3ncc4cccc(F)c4c3=O)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(NCc3cccnc3)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'BrCc1cccnc1', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['NCc1cccnc1', 'Cc1n[nH]c2ccc(N)cc12', 'O=Cc1cccnc1', 'NCc1cccnc1']; [0.9991753101348877, 0.9971892833709717, 0.990280032157898, 0.9144687652587891]
+Cc1n[nH]c2ccc(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccc3[nH]nc(C)c3c2)c1; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; [0.9999924898147583, 0.9999667406082153, 0.9999481439590454, 0.9999184608459473, 0.9999113082885742, 0.999861478805542, 0.9997473955154419, 0.9994587898254395, 0.9990567564964294, 0.9977861642837524, 0.9723199605941772, 0.9650861024856567]
+Cc1n[nH]c2ccc(-c3cnn4ncccc34)cc12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; [0.999998152256012, 0.9999977946281433]
+Cc1n[nH]c2ccc(-c3cccc(Br)c3)cc12; ['Brc1cccc(I)c1', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Brc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Clc1cccc(Br)c1', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'OB(O)c1cccc(Br)c1', 'Clc1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'F[B-](F)(F)c1cccc(Br)c1']; [0.9999963045120239, 0.9999890923500061, 0.9999871253967285, 0.9999708533287048, 0.9999678134918213, 0.9998939037322998, 0.9998363256454468, 0.9993504285812378, 0.9993356466293335, 0.9990167617797852, 0.9639074802398682, 0.9546102285385132, 0.8531230688095093]
+Cc1n[nH]c2ccc(-c3ccnc(N)n3)cc12; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Nc1nccc(Br)n1', 'Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1']; [1.0, 1.0, 0.9999998211860657, 0.9999995827674866, 0.9999963641166687, 0.9999951124191284, 0.9999518990516663]
+Cc1n[nH]c2ccc(Nc3cccnc3)cc12; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Brc1cccnc1', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(N)cc12']; ['Nc1cccnc1', 'Nc1cccnc1', 'Fc1cccnc1', 'OB(O)c1cccnc1', 'Cc1n[nH]c2ccc(N)cc12', 'Clc1cccnc1', 'Nc1cccnc1', 'Ic1cccnc1']; [0.9999800324440002, 0.9998112916946411, 0.9995220899581909, 0.9994186162948608, 0.9992427229881287, 0.9970318078994751, 0.9949480295181274, 0.9884458780288696]
+Cc1n[nH]c2ccc(NCCc3c[nH]cn3)cc12; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9999953508377075, 0.9985203742980957, 0.939572811126709]
+Cc1n[nH]c2ccc(NC(=O)c3cccs3)cc12; ['Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9999874234199524, 0.9999850988388062]
+Cc1n[nH]c2ccc(-n3cnc4ccccc43)cc12; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9987765550613403, 0.9926942586898804]
+Cc1n[nH]c2ccc(-c3cccc(F)c3C(N)=O)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl']; [0.9999998807907104, 0.9999953508377075, 0.9999894499778748, 0.9999184608459473]
+Cc1n[nH]c2ccc(-c3cccc(CC(=O)[O-])c3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12']; ['O=C([O-])Cc1ccccc1']; [0.9828200340270996]
+Cc1n[nH]c2ccc(-c3cncc4ccccc34)cc12; ['Brc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Brc1cncc2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Ic1cncc2ccccc12', 'Clc1cncc2ccccc12', 'Ic1cncc2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Clc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Ic1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; [0.9999995231628418, 0.9999971389770508, 0.9999968409538269, 0.999994695186615, 0.9999825954437256, 0.9999722838401794, 0.9999688863754272, 0.9999188780784607, 0.9998775720596313, 0.9990910291671753, 0.9982882142066956, 0.966206431388855]
+Cc1n[nH]c2ccc(-c3c[nH]nc3C(F)(F)F)cc12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'FC(F)(F)c1n[nH]cc1I', 'FC(F)(F)c1n[nH]cc1I', 'FC(F)(F)c1n[nH]cc1Br']; [0.9999988079071045, 0.9999972581863403, 0.9999958872795105, 0.9999921321868896]
+Cc1n[nH]c2ccc(-c3ccc4ccccc4c3)cc12; ['Brc1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'CC1(C)COB(c2ccc3ccccc3c2)OC1', 'Brc1ccc2ccccc2c1', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Cc1n[nH]c2ccc(Cl)cc12']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'O=S(=O)(Oc1ccc2ccccc2c1)C(F)(F)F', 'Ic1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'F[B-](F)(F)c1ccc2ccccc2c1', 'c1ccc2ccccc2c1', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccccc12', 'c1ccc2ccccc2c1']; [0.999995231628418, 0.9999945163726807, 0.9999803304672241, 0.999980092048645, 0.999974250793457, 0.999950647354126, 0.9999132752418518, 0.9999127388000488, 0.9999004602432251, 0.9998441934585571, 0.999595046043396, 0.9994620680809021, 0.9993515014648438, 0.9990535974502563, 0.9989005327224731, 0.997430682182312, 0.9742565155029297, 0.8512144088745117]
 Cc1n[nH]c2ccc(-c3sc(=O)n(C)c3C)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cnn4ncccc34)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(Cc3ncc(C(C)(C)C)o3)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(NCCc3ccccc3)cc12; ['Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'BrCCc1ccccc1']; ['ClCCc1ccccc1', 'O=CCc1ccccc1', 'NCCc1ccccc1', 'Cc1n[nH]c2ccc(N)cc12']; [0.9946726560592651, 0.9915043711662292, 0.9869165420532227, 0.972637414932251]
+Cc1n[nH]c2ccc(NCc3ccc(Cl)cc3)cc12; ['Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['OCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'Clc1ccc(CBr)cc1', 'O=Cc1ccc(Cl)cc1', 'ClCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.999900221824646, 0.9992623329162598, 0.9991260766983032, 0.9972392320632935, 0.9969557523727417, 0.9304497241973877]
+Cc1n[nH]c2ccc(-c3ccc(-c4cnn(C)c4)cc3)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; [0.9999997615814209, 0.9999994039535522, 0.9999247789382935]
+Cc1n[nH]c2ccc(-c3ccc4c(cnn4C)c3)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccccc12']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2ccccc21', 'Cn1ncc2cc(Br)ccc21']; [0.9999998211860657, 0.9999997615814209, 0.9999996423721313, 0.9999994039535522, 0.9999992847442627, 0.9999992847442627, 0.9999979734420776, 0.9999914765357971, 0.9999912977218628, 0.9999222755432129, 0.9999021291732788, 0.9998073577880859, 0.9210245609283447, 0.9072233438491821]
 Cc1n[nH]c2ccc(-c3ccc4c(c3)CS(=O)(=O)N4C)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3ccc4c(N)[nH]nc4c3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Cl)ccc12']; [0.9999997615814209, 0.99996417760849, 0.9983292818069458, 0.9958097338676453]
+CCCn1cnc(-c2ccc3[nH]nc(C)c3c2)n1; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3cccc(O)c3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cc1n[nH]c2ccc(Br)cc12']; ['Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1', 'Cc1n[nH]c2ccc(Br)cc12', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1', 'OB(O)c1cccc(O)c1', 'Cc1n[nH]c2ccc(Cl)cc12', 'Oc1cccc(Br)c1']; [0.9999927282333374, 0.9999896287918091, 0.9999721050262451, 0.9999005794525146, 0.999890148639679, 0.9998733401298523, 0.9998676180839539, 0.9992480278015137, 0.9991098046302795, 0.9972535371780396, 0.9970963597297668, 0.9795017242431641]
+Cc1n[nH]c2ccc(-c3cccc(CO)c3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['OCc1cccc(Br)c1', 'OCc1cccc(I)c1', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'OCc1cccc(Cl)c1', 'OCc1cccc(I)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(Cl)c1']; [0.9999974966049194, 0.9999947547912598, 0.9999890923500061, 0.9999192357063293, 0.9998771548271179, 0.9998483061790466, 0.9996674060821533, 0.9993146657943726, 0.9963487386703491, 0.9904415607452393, 0.8806301355361938, 0.8212512731552124]
+Cc1n[nH]c2ccc(Nc3ccncc3)cc12; ['Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Brc1ccncc1', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Cc1n[nH]c2ccc(N)cc12', 'c1cc[n+](-c2ccncc2)cc1', 'Clc1ccncc1', 'Ic1ccncc1', 'Fc1ccncc1', 'Nc1ccncc1']; [0.999977707862854, 0.9999637603759766, 0.9999223947525024, 0.9997984170913696, 0.9994944334030151, 0.9993457794189453, 0.997947633266449, 0.9971387386322021, 0.9963531494140625]
+Cc1n[nH]c2ccc(-c3ccc(-c4cn[nH]c4)cc3)cc12; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Brc1ccc(-c2cn[nH]c2)cc1', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Clc1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Clc1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999998211860657, 0.9999992251396179, 0.9999985098838806, 0.9999957084655762, 0.9999744892120361, 0.9998685121536255, 0.999417781829834, 0.9991137385368347]
+Cc1n[nH]c2ccc(NCc3ccccc3F)cc12; ['Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'OCc1ccccc1F', 'O=Cc1ccccc1F', 'NCc1ccccc1F']; [0.9993323087692261, 0.9988418817520142, 0.9977909922599792, 0.9976117610931396, 0.9949148893356323]
+Cc1n[nH]c2ccc(-c3cn(C(C)C)nn3)cc12; ['C#Cc1ccc2[nH]nc(C)c2c1', 'CC(C)n1ccnn1', 'CC(C)n1ccnn1']; ['CC(C)N=[N+]=[N-]', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999951124191284, 0.9999755620956421, 0.9997764229774475]
+CSc1nc(-c2ccc3[nH]nc(C)c3c2)c[nH]1; ['CSc1ncc[nH]1']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.9414240121841431]
+Cc1n[nH]c2ccc(-c3csc4ncncc34)cc12; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999982714653015, 0.9999969005584717, 0.9842236042022705]
 COc1cc(-c2ccc3[nH]nc(C)c3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cn(C(C)C)nn3)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3csc(N)n3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['Nc1nc(Br)cs1', 'Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1']; [0.9999998807907104, 0.9999986290931702, 0.9999858140945435]
+Cc1n[nH]c2ccc(-c3cncnc3N)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1Cl', 'Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1I', 'Nc1ncncc1Cl', 'Nc1ncncc1Br']; [0.9999997615814209, 0.9999995231628418, 0.9999960660934448, 0.9999939203262329, 0.9999892711639404, 0.999727725982666, 0.999496340751648, 0.9910371899604797]
+Cc1n[nH]c2ccc(-c3cccc(CCC#N)c3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; [0.999987006187439, 0.999983549118042, 0.9999474287033081, 0.9992917776107788, 0.9756782054901123]
+CCNc1nc2ccc(-c3ccc4[nH]nc(C)c4c3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3[nH]nc(C)c3c2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; [0.9999882578849792, 0.999920129776001]
+Cc1n[nH]c2ccc(-c3cc4ccccc4[nH]3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'C#Cc1ccc2[nH]nc(C)c2c1', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Ic1cc2ccccc2[nH]1', 'Cc1n[nH]c2ccc(Br)cc12', 'Ic1cc2ccccc2[nH]1', 'Nc1ccccc1C=C(Br)Br', 'OB(O)c1cc2ccccc2[nH]1', 'Clc1cc2ccccc2[nH]1', 'Clc1cc2ccccc2[nH]1', 'Nc1ccccc1I', 'Clc1cc2ccccc2[nH]1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9999973773956299, 0.9999971389770508, 0.9999967813491821, 0.9999864101409912, 0.999974250793457, 0.9999560117721558, 0.9999550580978394, 0.9999465942382812, 0.9997683167457581, 0.9997417330741882, 0.9985673427581787]
 Cc1n[nH]c2ccc(CCc3c[nH]nn3)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3ccc(F)cc3C(F)(F)F)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccccc12']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1']; [0.9999959468841553, 0.9999940395355225, 0.9999694228172302, 0.9999659061431885, 0.9999405741691589, 0.9999226331710815, 0.9998399615287781, 0.9997289776802063, 0.9992973804473877, 0.9988510608673096, 0.9986937046051025, 0.9982613921165466, 0.8196903467178345]
+Cc1n[nH]c2ccc(Oc3ccccn3)cc12; ['Cc1n[nH]c2ccc(O)cc12', 'Brc1ccccn1', 'Cc1n[nH]c2ccc(O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['Clc1ccccn1', 'Cc1n[nH]c2ccc(O)cc12', 'Fc1ccccn1', 'Oc1ccccn1']; [0.9998176097869873, 0.9988911151885986, 0.9986782073974609, 0.9811621308326721]
+Cc1n[nH]c2ccc(-c3cnoc3C(C)C)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(NC(=O)c3c(Cl)cccc3Cl)cc12; ['Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'COC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'Cc1n[nH]c2ccc(N)cc12']; [0.9999880790710449, 0.9998331069946289, 0.9992702007293701]
+CC(=O)Nc1cccc(-c2ccc3[nH]nc(C)c3c2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc([B-](F)(F)F)c1', 'CC(=O)Nc1ccccc1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccccc12']; [0.9999994039535522, 0.9999971389770508, 0.9999884963035583, 0.9999821186065674, 0.9999557137489319, 0.9999402761459351, 0.9995554685592651, 0.9988423585891724, 0.9967899322509766, 0.9962546825408936, 0.9958465695381165, 0.9870107769966125, 0.9108015298843384]
+Cc1n[nH]c2ccc(CCCC(N)=O)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(N3CCC(S(C)(=O)=O)CC3)cc12; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9996047019958496, 0.9682931900024414]
+COc1ccc(-c2ccc3[nH]nc(C)c3c2)cc1Cl; ['COc1ccc(Br)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccccc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccccc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccccc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccccc12']; [0.9999979138374329, 0.9999978542327881, 0.9999933242797852, 0.9999862313270569, 0.9999630451202393, 0.9999597072601318, 0.999918520450592, 0.9999138712882996, 0.9998989105224609, 0.9998931884765625, 0.9994354844093323, 0.9989744424819946, 0.9987562894821167, 0.9951672554016113, 0.9932405948638916, 0.8752399682998657]
+Cc1n[nH]c2ccc(-c3cn(C)c4ccccc34)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999898672103882, 0.9997448921203613]
 Cc1n[nH]c2ccc(CCNC(=O)CC(C)(C)O)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(NC(=O)c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cc12; [None]; [None]; [0]
+CCCn1cc(-c2ccc3[nH]nc(C)c3c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Cl)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Cl)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [1.0, 1.0, 1.0, 1.0, 0.9999995231628418, 0.9999992251396179, 0.9999984502792358, 0.9999967813491821, 0.9999960064888, 0.999947190284729, 0.9997445344924927]
+Cc1n[nH]c2ccc(-c3cnn4ccccc34)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Brc1cnn2ccccc12', 'Brc1cnn2ccccc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Brc1cnn2ccccc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['Ic1cnn2ccccc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Ic1cnn2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Clc1cnn2ccccc12', 'Clc1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'OB(O)c1cnn2ccccc12']; [1.0, 0.9999998211860657, 0.9999997615814209, 0.9999995231628418, 0.9999957084655762, 0.9999943971633911, 0.9999853372573853, 0.9999417066574097, 0.9998310208320618, 0.9941100478172302, 0.988914966583252]
 Cc1n[nH]c2ccc(OCC(C)(C)S(C)(=O)=O)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(O[C@H](C)c3c(Cl)cncc3Cl)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3cccc4c3C(=O)CC4)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Br)c21']; [0.9999992847442627, 0.9999769330024719, 0.9999620914459229, 0.999576210975647, 0.9222070574760437]
+Cc1n[nH]c2ccc(-c3cc[nH]c(=O)c3)cc12; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'O=c1cc(Br)cc[nH]1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(Cl)cc[nH]1', 'O=c1cc(Br)cc[nH]1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(Cl)cc[nH]1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(Cl)cc[nH]1', 'O=c1cc(Br)cc[nH]1']; [0.9999986886978149, 0.9999983310699463, 0.9999964237213135, 0.9999791383743286, 0.9999656677246094, 0.9999469518661499, 0.9997305870056152, 0.999589204788208, 0.9991986751556396, 0.9896225929260254]
+Cc1n[nH]c2ccc(-c3ccc(C(C)(C)N)cc3)cc12; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1cccc(Br)c1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999589920043945, 0.9995782375335693, 0.9991471171379089, 0.9936909675598145, 0.8202292919158936]
+CCNS(=O)(=O)c1ccccc1-c1ccc2[nH]nc(C)c2c1; ['CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1', 'CCNS(=O)(=O)c1ccccc1Br']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999970197677612, 0.9999290108680725, 0.99967360496521, 0.9587660431861877]
+Cc1n[nH]c2ccc(-c3ccc([S@](C)=O)cc3)cc12; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(Br)cc1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; [0.9999390244483948, 0.9998480081558228, 0.9998375177383423, 0.9994458556175232]
+COc1cc(CCc2ccc3[nH]nc(C)c3c2)cc(OC)c1; [None]; [None]; [0]
+Cc1n[nH]c2ccc(O[C@H](C)c3c(Cl)cncc3Cl)cc12; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(O)cc12']; [0.9999861121177673, 0.9999721050262451]
+Cc1n[nH]c2ccc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cc12; [None]; [None]; [0]
+CCN(CC)c1ccc2[nH]nc(C)c2c1; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3cc4c(=O)[nH]ccc4o3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['O=c1[nH]ccc2oc(Br)cc12', 'O=c1[nH]ccc2oc(Br)cc12']; [0.9999982118606567, 0.9999971389770508]
+COc1ccncc1Nc1ccc2[nH]nc(C)c2c1; ['COc1ccncc1N', 'COc1ccncc1Cl', 'COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1F', 'COc1ccncc1B(O)O']; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(N)cc12']; [0.9999967217445374, 0.9999915957450867, 0.99998939037323, 0.999988317489624, 0.9999772310256958, 0.9999622106552124, 0.9999396204948425, 0.9999071359634399]
+Cc1n[nH]c2ccc(-c3cncc(OC(C)C)c3)cc12; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; [1.0, 0.9999998807907104, 0.999997615814209, 0.9999970197677612, 0.9999819993972778, 0.9997859597206116, 0.9997647404670715]
+Cc1n[nH]c2ccc(Nc3cnccc3-c3ccccc3)cc12; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Brc1cnccc1-c1ccccc1', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['Nc1cnccc1-c1ccccc1', 'Cc1n[nH]c2ccc(N)cc12', 'OB(O)c1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.9999979734420776, 0.9999959468841553, 0.9999901056289673, 0.9999803304672241, 0.9993256330490112]
+Cc1n[nH]c2ccc(Nc3cnc4ccccc4c3)cc12; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(N)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Brc1cnc2ccccc2c1', 'Cc1n[nH]c2ccc(N)cc12']; ['Nc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Cc1n[nH]c2ccc(N)cc12', 'Ic1cnc2ccccc2c1']; [0.9999796152114868, 0.9998965263366699, 0.9998300075531006, 0.9997246265411377, 0.9996756315231323]
+COc1cccc(F)c1-c1ccc2[nH]nc(C)c2c1; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1', 'COc1cccc(F)c1Br']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccccc12']; [0.9999986886978149, 0.9999982118606567, 0.9999969005584717, 0.9999949336051941, 0.9999865293502808, 0.9999644160270691, 0.999947190284729, 0.9998554587364197, 0.9998306035995483, 0.9997842311859131, 0.9996050596237183, 0.9973240494728088, 0.9950308799743652, 0.9938503503799438, 0.9793859124183655, 0.7634247541427612]
+Cc1n[nH]c2ccc(-c3ccc(C(C)(C)C)cc3)cc12; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc([B-](F)(F)F)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccccc1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999984502792358, 0.999995768070221, 0.9999935626983643, 0.9999920129776001, 0.9999862909317017, 0.9999814033508301, 0.9999781847000122, 0.9999398589134216, 0.9999257326126099, 0.999832272529602, 0.9997960329055786, 0.9997130632400513, 0.9990538954734802, 0.9987220168113708, 0.9837183952331543]
+Cc1n[nH]c2ccc(-c3c[nH]c4cnccc34)cc12; ['Brc1c[nH]c2cnccc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Brc1c[nH]c2cnccc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Brc1c[nH]c2cnccc12']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Ic1c[nH]c2cnccc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Ic1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999982118606567, 0.9999925494194031, 0.999957263469696, 0.9999164342880249, 0.9939502477645874, 0.9868687391281128]
+CNC(=O)c1c(F)cccc1-c1ccc2[nH]nc(C)c2c1; ['CNC(=O)c1ccccc1F', 'CNC(=O)c1ccccc1F', 'CNC(=O)c1ccccc1F']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9998005628585815, 0.9913047552108765, 0.9307206869125366]
+Cc1n[nH]c2ccc(-c3cnc4[nH]ccc4c3)cc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Brc1cnc2[nH]ccc2c1', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Brc1cnc2[nH]ccc2c1', 'Cc1n[nH]c2ccc(Cl)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Clc1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'Cc1n[nH]c2ccc(Cl)cc12', 'Ic1cnc2[nH]ccc2c1', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'OB(O)c1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Cc1n[nH]c2ccc(Br)cc12', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 1.0, 1.0, 1.0, 0.9999997615814209, 0.9999989867210388, 0.9999975562095642, 0.9999949932098389, 0.9999936819076538, 0.9999676942825317, 0.9998191595077515]
 Cc1n[nH]c2ccc(-c3cc4c(=O)[nH]cc(Br)c4s3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(Nc3cnccc3-c3ccccc3)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)cc12; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999973773956299, 0.9999898076057434, 0.9999831914901733, 0.9999661445617676, 0.9998821020126343, 0.9994270205497742, 0.9901182651519775]
+CNS(=O)(=O)c1ccc(-c2ccc3[nH]nc(C)c3c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.99996417760849, 0.9999078512191772, 0.9998747706413269, 0.9998708963394165, 0.9997233152389526, 0.9985885620117188, 0.9983323812484741, 0.9977712631225586, 0.8965616226196289]
+Cc1n[nH]c2ccc(-c3ccc(N4CCOCC4)cc3)cc12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Brc1ccc(N2CCOCC2)cc1', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Brc1ccc(N2CCOCC2)cc1', 'Cc1n[nH]c2ccc(Br)cc12', 'Brc1ccc(N2CCOCC2)cc1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Ic1ccc(N2CCOCC2)cc1', 'Cc1n[nH]c2ccc(Cl)cc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Cc1n[nH]c2ccc(Br)cc12', 'Clc1ccc(N2CCOCC2)cc1', 'Cc1n[nH]c2ccc(Cl)cc12']; [1.0, 0.9999993443489075, 0.9999991059303284, 0.9999990463256836, 0.9999988675117493, 0.999997615814209, 0.9999930262565613, 0.9999919533729553, 0.9999618530273438, 0.9999574422836304, 0.999951183795929, 0.9996980428695679, 0.9994552135467529, 0.9980707168579102]
+Cc1n[nH]c2ccc(-c3ccc(S(C)(=O)=O)cc3)cc12; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc([B-](F)(F)F)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999976754188538, 0.9999959468841553, 0.9999948740005493, 0.9999932050704956, 0.9999929666519165, 0.9999606609344482, 0.9999575614929199, 0.9999566078186035, 0.9998492002487183, 0.9997444152832031, 0.998899519443512, 0.9901406764984131, 0.985901951789856, 0.9647842645645142]
+Cc1cc(-c2ccc3[nH]nc(C)c3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Cc1n[nH]c2ccc(C3(C)CCN(S(C)(=O)=O)CC3)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(N[C@@H](C)C(C)(C)O)cc12; ['C[C@H](N)C(C)(C)O']; ['Cc1n[nH]c2ccc(Br)cc12']; [0.9933681488037109]
+Cc1n[nH]c2ccc(-n3ccc(CO)n3)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(N[C@@H](C)C(=O)NCC(F)(F)F)cc12; [None]; [None]; [0]
 Cc1n[nH]c2ccc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(N[C@H](C)C(C)(C)O)cc12; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9994409084320068, 0.9933681488037109]
+Cc1n[nH]c2ccc(-n3cnc(CCO)c3)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['OCCc1c[nH]cn1', 'OCCc1cnc[nH]1']; [0.9993630051612854, 0.9993491172790527]
+Cc1n[nH]c2ccc(-c3c(F)cccc3Cl)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Fc1cccc(Cl)c1Br', 'Cc1n[nH]c2ccc(Br)cc12', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Cl', 'Cc1n[nH]c2ccc(Cl)cc12', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Cl', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1Cl', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1']; [0.9999986886978149, 0.9999970197677612, 0.9999935626983643, 0.9999787211418152, 0.9999380111694336, 0.9999345541000366, 0.9999247789382935, 0.9998812675476074, 0.9997316598892212, 0.9994652271270752, 0.9985998868942261, 0.9982816576957703, 0.9964449405670166, 0.9221788644790649, 0.8499427437782288]
+Cc1n[nH]c2ccc(-c3nc4ccc(O)cc4[nH]3)cc12; ['Cc1n[nH]c2ccc(C=O)cc12', 'Cc1n[nH]c2ccc(C=O)cc12', 'Cc1n[nH]c2ccc(C(=O)O)cc12', 'Cc1n[nH]c2ccc(C=O)cc12']; ['Nc1ccc(O)cc1N', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1[N+](=O)[O-]']; [0.9993895292282104, 0.9972386956214905, 0.9891521334648132, 0.9511924982070923]
+Cc1n[nH]c2ccc(-n3ncc4ccccc43)cc12; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9737161993980408, 0.8960388898849487]
+Cc1n[nH]c2ccc(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
+COc1ccc(-c2ccc3[nH]nc(C)c3c2)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999960064888, 0.9999731779098511, 0.9999616742134094, 0.9999605417251587, 0.9999381303787231, 0.9999127984046936, 0.9997087121009827, 0.9995706081390381, 0.9994183778762817, 0.9969615936279297, 0.9939777851104736, 0.9916481971740723, 0.9854123592376709, 0.9646097421646118]
+Cc1n[nH]c2ccc(-n3ncc4c(O)cccc43)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.9962742924690247, 0.8693504333496094]
+CSc1nc(C)c(-c2ccc3[nH]nc(C)c3c2)[nH]1; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3ccc(C(=O)c4ccccc4)cc3)cc12; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Cc1n[nH]c2ccc(Cl)cc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccccc1', 'Cc1n[nH]c2ccccc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccccc1']; [0.9999972581863403, 0.9999827146530151, 0.9999790191650391, 0.9999785423278809, 0.9999747276306152, 0.9999505281448364, 0.9999006986618042, 0.9997200965881348, 0.9994928240776062, 0.999402642250061, 0.9994009733200073, 0.9989044666290283, 0.9982110261917114, 0.9584154486656189, 0.947157621383667, 0.937829852104187, 0.7954546213150024]
+Cc1n[nH]c2ccc(CCC(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3[nH]nc(C)c3c2)CC1; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3nncn3C(C)C)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
 Cc1n[nH]c2ccc(-c3ccn(CC[NH3+])n3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(N[C@@H](C)C(=O)NCC(F)(F)F)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3nnc(N)s3)cc12; ['Cc1n[nH]c2ccc(C#N)cc12', 'Cc1n[nH]c2ccc(C(=O)O)cc12']; ['NNC(N)=S', 'NNC(N)=S']; [0.9999836683273315, 0.9999771118164062]
+CCc1cc(-c2ccc3[nH]nc(C)c3c2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1', 'CCc1cc(Cl)nc(N)n1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; [0.999996542930603, 0.9999850988388062]
+Cc1n[nH]c2ccc(-c3cn(Cc4ccccc4)nn3)cc12; ['BrCc1ccccc1', 'C#Cc1ccc2[nH]nc(C)c2c1', 'Cc1n[nH]c2ccc(Br)cc12']; ['C#Cc1ccc2[nH]nc(C)c2c1', '[N-]=[N+]=NCc1ccccc1', 'c1ccc(Cn2ccnn2)cc1']; [0.9999991655349731, 0.999998927116394, 0.9987833499908447]
+Cc1n[nH]c2ccc(-c3cc(C(N)=O)cn3C)cc12; [None]; [None]; [0]
 Cc1n[nH]c2ccc(Cc3nnc4ccc(-c5ccccc5)nn34)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3[nH]nc(C)c3c2)s1; ['CNC(=O)c1ccc(Br)s1', 'CNC(=O)c1ccc(Br)s1', 'CNC(=O)c1ccc(Cl)s1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; [0.9999921321868896, 0.9999701976776123, 0.9992635846138]
+Cc1n[nH]c2ccc(-c3cccc(C(C)(C)O)n3)cc12; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1']; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999935626983643, 0.9999901056289673, 0.9999347925186157, 0.9997913241386414, 0.9984329342842102]
+CCCCc1cc(-c2ccc3[nH]nc(C)c3c2)nc(N)n1; [None]; [None]; [0]
 Cc1n[nH]c2ccc(CS(=O)(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cc(C(N)=O)cn3C)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3nc4ccccc4s3)cc12; ['Cc1n[nH]c2ccc(C=O)cc12', 'Brc1nc2ccccc2s1', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Brc1nc2ccccc2s1', 'Cc1n[nH]c2ccc(Br)cc12']; ['Nc1ccccc1S', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Clc1nc2ccccc2s1', 'c1ccc2scnc2c1', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'c1ccc2scnc2c1']; [0.9999977946281433, 0.9999936819076538, 0.9999736547470093, 0.9999485015869141, 0.9998570084571838, 0.9994311332702637]
+Cc1n[nH]c2ccc(-c3cccc4ccsc34)cc12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cccc2ccsc12', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cccc2ccsc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Clc1cccc2ccsc12', 'Clc1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999994039535522, 0.9999967813491821, 0.999984860420227, 0.9999531507492065, 0.9999493360519409, 0.9995735883712769, 0.9995706081390381, 0.9681070446968079]
+Cc1n[nH]c2ccc(-c3cncc(N)n3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1']; [0.9999987483024597, 0.9999986886978149, 0.9999978542327881, 0.9999967813491821, 0.9882149696350098]
 Cc1n[nH]c2ccc(Oc3ccc(C[NH3+])cc3F)cc12; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)cc12; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc3[nH]nc(C)c3c2)CC1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4[nH]nc(C)c4c3)c2)cc1; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccc4nnsc34)cc12; [None]; [None]; [0]
-COc1ccc(Oc2ccc3[nH]nc(C)c3c2)c(F)c1F; [None]; [None]; [0]
-Cc1n[nH]c2ccc(-c3cccc(C(C)(C)O)n3)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(-c3cccc4nnsc34)cc12; ['Brc1cccc2nnsc12', 'Brc1cccc2nnsc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Brc1cccc2nnsc12']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Clc1cccc2nnsc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999992847442627, 0.9999922513961792, 0.9999449849128723, 0.9880690574645996]
+Cc1n[nH]c2ccc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)cc12; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2cccnc2NC1=O', 'CC1(C)Oc2ccc(Br)nc2NC1=O']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999294877052307, 0.9994006156921387, 0.9773691892623901, 0.7511261105537415]
+Cc1n[nH]c2ccc(-c3nc(N)c4ccccc4n3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['Nc1nc(Cl)nc2ccccc12', 'Nc1nc(Cl)nc2ccccc12']; [0.9999428391456604, 0.999441385269165]
+Cc1n[nH]c2ccc(-c3ncc4ccccc4n3)cc12; ['Brc1ncc2ccccc2n1', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Brc1ncc2ccccc2n1', 'Cc1n[nH]c2ccc(B(O)O)cc12']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Clc1ncc2ccccc2n1', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Clc1ncc2ccccc2n1']; [0.9999972581863403, 0.9999948740005493, 0.9999940395355225, 0.9999799728393555]
+Cc1n[nH]c2ccc(-c3c[nH]c4cccnc34)cc12; ['Cc1n[nH]c2ccc(B(O)O)cc12', 'Brc1c[nH]c2cccnc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Brc1c[nH]c2cccnc12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Brc1c[nH]c2cccnc12']; ['Ic1c[nH]c2cccnc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Ic1c[nH]c2cccnc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Clc1c[nH]c2cccnc12', 'Clc1c[nH]c2cccnc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999997615814209, 0.9999995231628418, 0.9999994039535522, 0.9999991655349731, 0.9999911785125732, 0.9999864101409912, 0.9999697208404541, 0.9994691014289856]
+Cc1n[nH]c2ccc(-c3ncc4cc[nH]c4n3)cc12; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12']; ['Clc1ncc2cc[nH]c2n1', 'Clc1ncc2cc[nH]c2n1', 'c1ncc2cc[nH]c2n1']; [1.0, 0.9999970197677612, 0.9986735582351685]
+COc1ccc(Oc2ccc3[nH]nc(C)c3c2)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(B(O)O)c(F)c1F', 'COc1ccc(F)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(O)cc12', 'Cc1n[nH]c2ccc(O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; [0.9999030828475952, 0.9997888207435608, 0.9997624158859253, 0.9995711445808411, 0.9964245557785034, 0.9601418972015381]
+COc1ccc(C#N)cc1-c1ccc2[nH]nc(C)c2c1; ['COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccccc12', 'Cc1n[nH]c2ccccc12', 'Cc1n[nH]c2ccc(Br)cc12']; [0.9999994039535522, 0.9999992847442627, 0.999998927116394, 0.9999957084655762, 0.999995231628418, 0.9999951720237732, 0.9999877214431763, 0.9999866485595703, 0.9999738931655884, 0.9998324513435364, 0.9997246861457825, 0.9995486736297607, 0.9994704723358154, 0.9986538290977478, 0.9985665678977966, 0.993511974811554, 0.9426658153533936, 0.9042192101478577, 0.8385629653930664]
+CC(=O)Nc1ncc(-c2ccc3[nH]nc(C)c3c2)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc3[nH]nc(C)c3c2)c1; ['COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccccc12', 'Cc1n[nH]c2ccccc12']; [0.999998927116394, 0.9999979734420776, 0.9999961853027344, 0.999990701675415, 0.9999741315841675, 0.9999316334724426, 0.9999226331710815, 0.9999175667762756, 0.999841570854187, 0.9986132383346558, 0.9981122612953186, 0.9971108436584473, 0.9959712028503418, 0.9946140050888062, 0.9918889403343201, 0.8270421028137207, 0.795718789100647]
+Cc1n[nH]c2ccc(-c3cn(CCO)cn3)cc12; [None]; [None]; [0]
+COc1ncccc1-c1ccc2[nH]nc(C)c2c1; ['COc1ncccc1Br', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1I', 'COc1ncccc1Cl', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1Cl', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1Cl', 'COc1ncccc1Br', 'COc1ncccc1B(O)O']; ['Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; [0.9999994039535522, 0.9999973177909851, 0.9999929070472717, 0.9999815225601196, 0.9999815225601196, 0.9999364018440247, 0.9999356269836426, 0.9999164342880249, 0.9996730089187622, 0.9994274973869324, 0.9993888139724731, 0.9991158246994019, 0.9972611665725708, 0.9965765476226807]
+Cc1n[nH]c2ccc(-c3cccc(S(=O)(=O)N(C)C)c3)cc12; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B3OC(C)(C)C(C)(C)O3)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(B(O)O)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12', 'Cc1n[nH]c2ccccc12']; [0.9999995231628418, 0.9999994039535522, 0.9999864101409912, 0.9999762177467346, 0.9999722242355347, 0.9980351328849792, 0.9979426264762878, 0.9959326386451721, 0.9717954993247986]
+Cc1n[nH]c2ccc(N3CC=C(c4c[nH]c5ccccc45)CC3)cc12; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; [0.9999933242797852, 0.999893307685852]
+CNC(=O)c1ccccc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1Br', 'Brc1ccnc2[nH]ccc12', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1']; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1I', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'CNC(=O)c1ccccc1B(O)O', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999744892120361, 0.9999066591262817, 0.9993107318878174, 0.9990454912185669, 0.9989213943481445, 0.9988284111022949, 0.9952532052993774, 0.8610454201698303]
+Cc1n[nH]c2ccc(-c3cnnc(N(C)C)c3)cc12; [None]; [None]; [0]
+Cc1n[nH]c2ccc(N3CCC(c4nc5ccccc5[nH]4)CC3)cc12; ['Cc1n[nH]c2ccc(Br)cc12', 'Cc1n[nH]c2ccc(Cl)cc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9998866319656372, 0.9921215772628784]
+Cc1n[nH]c2ccc([C@H]3CC[C@@](C)(O)CC3)cc12; [None]; [None]; [0]
 Cc1n[nH]c2ccc(-c3cccc(NC(=O)C4CCNCC4)c3)cc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccnc2[nH]ccc12; ['CC(C)S(=O)(=O)c1ccccc1Br', 'Brc1ccnc2[nH]ccc12', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; [0.9999791979789734, 0.9999432563781738, 0.9997696876525879, 0.9996068477630615, 0.9976533651351929]
+CCOc1ccccc1-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Br', 'CCOc1ccccc1Br', 'CCOc1ccccc1']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'Clc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'CCOc1ccccc1Cl', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12']; [0.9999921321868896, 0.9999886751174927, 0.999981164932251, 0.9999790787696838, 0.9999704360961914, 0.9999682903289795, 0.9999641180038452, 0.9998277425765991, 0.9998209476470947, 0.9997127056121826, 0.9994169473648071, 0.905724048614502]
+Fc1cc(F)cc(Cc2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12']; ['Fc1cc(F)cc(C[Zn]Br)c1']; [0.999673068523407]
+CP(C)(=O)c1ccccc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'Clc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999989867210388, 0.9999972581863403, 0.9999945163726807, 0.9999927878379822, 0.9999845623970032, 0.9999755620956421, 0.9999744296073914, 0.9999551773071289, 0.9997720718383789, 0.9997708201408386]
+FC(F)(F)c1cccc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Clc1ccnc2[nH]ccc12', 'FC(F)(F)c1cccc(Br)c1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999988079071045, 0.9999919533729553, 0.9999881982803345, 0.99997478723526, 0.9999443888664246, 0.999910831451416, 0.9994705319404602, 0.9969751238822937]
+CCn1cc(-c2ccnc3[nH]ccc23)cn1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1ccnc2[nH]ccc12', 'CCn1cc(B(O)O)cn1', 'CCn1cc(I)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(Cl)cn1']; ['CCn1cc(I)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccnc2[nH]ccc12', 'CCn1cc(Br)cn1', 'Clc1ccnc2[nH]ccc12', 'CCn1cc(B(O)O)cn1', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999986290931702, 0.9999951124191284, 0.9999899864196777, 0.9999898672103882, 0.9999344348907471, 0.9999153017997742, 0.9998212456703186, 0.998785138130188, 0.9964955449104309, 0.994396448135376, 0.9783927798271179]
+c1ccc(Cn2cc(-c3ccnc4[nH]ccc34)cn2)cc1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'Brc1cnn(Cc2ccccc2)c1', 'Clc1ccnc2[nH]ccc12', 'Brc1cnn(Cc2ccccc2)c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Ic1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999980926513672, 0.9999947547912598, 0.999993085861206, 0.9999927282333374, 0.9999784231185913, 0.9999566078186035, 0.9995631575584412, 0.9967751502990723]
+COC(C)(C)CCc1ccnc2[nH]ccc12; [None]; [None]; [0]
+c1ccc2c(-c3ccnc4[nH]ccc34)ccnc2c1; ['Brc1ccnc2[nH]ccc12', 'Brc1ccnc2ccccc12', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'Brc1ccnc2[nH]ccc12', 'Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Ic1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1ccnc2[nH]ccc12', 'Clc1ccnc2ccccc12', 'Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'O=c1cc[nH]c2[nH]ccc12', 'Brc1ccnc2ccccc12', 'Clc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1ccnc2ccccc12', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2ccccc12', 'Ic1ccnc2ccccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Ic1ccnc2ccccc12', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2[nH]ccc12', 'c1ccc2ncccc2c1', 'c1ccc2ncccc2c1', 'c1ccc2ncccc2c1', 'c1cnc2[nH]ccc2c1', 'c1ccc2ncccc2c1']; [0.9999916553497314, 0.9999875426292419, 0.9999805688858032, 0.9999755620956421, 0.9999459981918335, 0.9999414682388306, 0.9999347925186157, 0.9999275207519531, 0.9999220371246338, 0.9997662305831909, 0.9996857643127441, 0.9996592998504639, 0.9995176792144775, 0.999257504940033, 0.9819218516349792, 0.9275929927825928, 0.8850614428520203, 0.8431943655014038, 0.8059848546981812]
+Cn1cnc2ccc(-c3ccnc4[nH]ccc34)cc2c1=O; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Cn1cnc2ccc(Br)cc2c1=O']; ['Cn1cnc2ccc(Br)cc2c1=O', 'OB(O)c1ccnc2[nH]ccc12']; [0.9998611807823181, 0.9998327493667603]
+NC(=O)c1ccccc1-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'NC(=O)c1ccccc1I', 'Brc1ccnc2[nH]ccc12', 'NC(=O)c1ccccc1Br', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'NC(=O)c1ccccc1Cl', 'Clc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br', 'OB(O)c1ccnc2[nH]ccc12', 'NC(=O)c1ccccc1B(O)O', 'OB(O)c1ccnc2[nH]ccc12', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1B(O)O', 'OB(O)c1ccnc2[nH]ccc12', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; [0.9999704360961914, 0.9999393224716187, 0.9998960494995117, 0.9993682503700256, 0.9991999268531799, 0.9981458783149719, 0.9973399043083191, 0.995402455329895, 0.9910131692886353, 0.9898298978805542, 0.9610104560852051, 0.9579290151596069, 0.8175913095474243]
+c1ccc(-c2ncc(-c3ccnc4[nH]ccc34)[nH]2)cc1; [None]; [None]; [0]
+OCCn1cc(-c2ccnc3[nH]ccc23)cn1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; ['OCCn1cc(I)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(Br)cn1', 'Clc1ccnc2[nH]ccc12', 'OCCn1cc(I)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(Br)cn1']; [0.9999837279319763, 0.9999828338623047, 0.999961256980896, 0.9999395608901978, 0.9998680353164673, 0.9998244047164917, 0.9997900724411011, 0.9997427463531494, 0.9989475011825562, 0.9948278665542603, 0.9883641004562378, 0.985701322555542, 0.9771859645843506]
+O=C(Nc1cccc(-c2ccnc3[nH]ccc23)c1)c1ccccc1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999978542327881, 0.9999954700469971, 0.9997793436050415, 0.9997556209564209, 0.9971380233764648]
+COc1cnc(-c2ccnc3[nH]ccc23)nc1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1cncnc1', 'Brc1ccnc2[nH]ccc12']; ['COc1cnc(Br)nc1', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'COc1cnc(Cl)nc1', 'Ic1ccnc2[nH]ccc12', 'COc1cncnc1']; [0.9994462132453918, 0.9969819784164429, 0.9969539642333984, 0.9939810037612915, 0.8817017078399658, 0.7540931701660156]
+Clc1ccc(Cl)c(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1ccc(Cl)c(Cl)c1']; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'OB(O)c1cc(Cl)ccc1Cl', 'Ic1ccnc2[nH]ccc12', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Cl)c1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999921917915344, 0.9999701380729675, 0.9999650716781616, 0.9999611377716064, 0.9998792409896851, 0.999864399433136, 0.9998306632041931, 0.9996711015701294, 0.9986778497695923, 0.9970380067825317, 0.9959439039230347, 0.9729094505310059]
+CC(C)C(=O)COc1ccnc2[nH]ccc12; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Oc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12']; [0.993772029876709, 0.9767645597457886]
+CC(C)(C)c1nc(-c2ccnc3[nH]ccc23)cs1; [None]; [None]; [0]
+Cc1ccc(-c2ccnc3[nH]ccc23)c(Br)c1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Brc1ccnc2[nH]ccc12']; ['Cc1ccc(Br)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Cc1ccc(B(O)O)c(Br)c1']; [0.9998452663421631, 0.9994714260101318, 0.9881488680839539, 0.9822626709938049, 0.9681477546691895]
+Cc1nc2ccccn2c1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br']; ['Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999727010726929, 0.9999678134918213, 0.9997870922088623, 0.998120903968811]
 O=c1c2c(F)cccc2cnn1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
+c1cnn2c(-c3ccnc4[nH]ccc34)cnc2c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999940395355225, 0.9999781250953674, 0.9996709823608398, 0.9986623525619507]
+c1ccn2c(-c3ccnc4[nH]ccc34)cnc2c1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1cnc2ccccn12', 'Ic1cnc2ccccn12', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1ccnc2[nH]ccc12', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.999981164932251, 0.999948263168335, 0.9999403953552246, 0.9994825124740601, 0.9994701147079468, 0.999276876449585, 0.9981176853179932]
+Cc1nc(C)c(-c2ccnc3[nH]ccc23)s1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Cc1nc(C)c(Br)s1', 'Brc1ccnc2[nH]ccc12']; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(Br)s1', 'OB(O)c1ccnc2[nH]ccc12', 'Cc1csc(C)n1']; [0.999995231628418, 0.9999749660491943, 0.9986164569854736, 0.978870153427124]
+CNc1nc(C)c(-c2ccnc3[nH]ccc23)s1; [None]; [None]; [0]
+Brc1cccc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'Brc1cccc(Br)c1', 'Clc1ccnc2[nH]ccc12', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1']; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999899864196777, 0.9999874234199524, 0.9999495148658752, 0.9998887777328491, 0.9996153116226196, 0.999539852142334, 0.9983755350112915, 0.9970124959945679, 0.9908678531646729]
+Cc1ccc(Cl)c(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Cc1ccc(Cl)c(B(O)O)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Cc1ccc(Cl)c(I)c1', 'Clc1ccnc2[nH]ccc12', 'Cc1ccc(Cl)c(Cl)c1']; [0.9999661445617676, 0.9997653365135193, 0.9997199773788452, 0.9997091293334961, 0.9989433288574219, 0.9987094402313232, 0.9984277486801147, 0.9979016780853271, 0.9977121353149414, 0.9880476593971252, 0.9034263491630554]
+Cc1nc(N)sc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Clc1cccc(Cl)c1Br', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1', 'Clc1ccnc2[nH]ccc12']; ['Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1cccc(Cl)c1Cl', 'OB(O)c1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1c(Cl)cccc1Cl']; [0.9998239278793335, 0.9998219013214111, 0.9997320175170898, 0.999709963798523, 0.998466432094574, 0.9983730316162109, 0.9975513219833374, 0.9885745644569397, 0.9708621501922607]
+c1cc(Cn2cncn2)cc(-c2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
+c1cncc(CNc2ccnc3[nH]ccc23)c1; ['Fc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'BrCc1cccnc1']; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'O=Cc1cccnc1', 'NCc1cccnc1', 'Nc1ccnc2[nH]ccc12']; [0.9990323185920715, 0.9988902807235718, 0.9984332919120789, 0.9982398152351379, 0.9970024824142456, 0.987951397895813]
 Cc1c(-c2ccnc3[nH]ccc23)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(-c3ccnc4[nH]ccc34)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccnc3[nH]ccc23)o1; [None]; [None]; [0]
+c1ccc2cc(-c3ccnc4[nH]ccc34)ccc2c1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Clc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccc2ccccc2c1', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccc2ccccc2c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccc2ccccc2c1']; [0.9999994039535522, 0.9999959468841553, 0.9999946355819702, 0.9999890327453613, 0.9999863505363464, 0.9999411106109619, 0.9997019171714783, 0.9997013807296753]
+Nc1nccc(-c2ccnc3[nH]ccc23)n1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Nc1nccc(Cl)n1']; ['Nc1nccc(Br)n1', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Nc1nccc(Cl)n1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999711513519287, 0.9998834133148193, 0.9998275637626648, 0.9997278451919556, 0.9984669089317322]
+c1cnn2ncc(-c3ccnc4[nH]ccc34)c2c1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999902248382568, 0.9999693632125854, 0.9993500709533691]
+c1cncc(Nc2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Ic1cccnc1', 'Nc1cccnc1', 'Clc1cccnc1', 'Brc1cccnc1']; ['Nc1cccnc1', 'Nc1cccnc1', 'Nc1cccnc1', 'Nc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12']; [0.9995630383491516, 0.9972814321517944, 0.9971926212310791, 0.9969333410263062, 0.9954508543014526, 0.9937702417373657, 0.9378080368041992]
+c1ccc2c(c1)ncn2-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'Fc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9753216505050659, 0.9672985672950745, 0.9562201499938965, 0.8976819515228271, 0.7915759086608887]
+c1cc(NCCc2c[nH]cn2)c2cc[nH]c2n1; ['Ic1ccnc2[nH]ccc12', 'Fc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'NCCc1c[nH]cn1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9952183961868286, 0.988479495048523, 0.9847011566162109, 0.9731155037879944, 0.9607880711555481]
+O=C(Nc1ccnc2[nH]ccc12)c1cccs1; ['Nc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'COC(=O)c1cccs1', 'Clc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'NC(=O)c1cccs1', 'CCOC(=O)c1cccs1', 'Ic1ccnc2[nH]ccc12']; ['O=C(O)c1cccs1', 'O=C(Cl)c1cccs1', 'Nc1ccnc2[nH]ccc12', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1', 'Nc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'NC(=O)c1cccs1']; [0.9992589950561523, 0.9981767535209656, 0.9981229305267334, 0.9914897680282593, 0.9807497262954712, 0.9769790172576904, 0.9721455574035645, 0.9710223078727722]
+FC(F)(F)c1n[nH]cc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Br', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1I']; ['FC(F)(F)c1n[nH]cc1Br', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1I', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.999998927116394, 0.9999959468841553, 0.9999914169311523, 0.9998168349266052, 0.9997900724411011, 0.9994931817054749]
+c1ccc2c(-c3ccnc4[nH]ccc34)cncc2c1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'Ic1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Clc1cncc2ccccc12', 'Brc1ccnc2[nH]ccc12']; ['Ic1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Clc1ccnc2[nH]ccc12', 'Ic1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Brc1cncc2ccccc12']; [0.9999971389770508, 0.9999935626983643, 0.9999895691871643, 0.9999867081642151, 0.9999748468399048, 0.9997960329055786, 0.9994587898254395, 0.9993593692779541, 0.9991245269775391, 0.9960161447525024, 0.9895943999290466, 0.9740794897079468]
+NC(=O)c1c(F)cccc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl']; ['NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999611973762512, 0.9999002814292908, 0.9975513219833374, 0.9936327934265137]
+c1ccc(CCNc2ccnc3[nH]ccc23)cc1; ['Fc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'BrCCc1ccccc1']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'Nc1ccnc2[nH]ccc12']; [0.9868364930152893, 0.9782896041870117, 0.9758984446525574, 0.9568586349487305, 0.8847309350967407]
+Cn1cc(-c2ccc(-c3ccnc4[nH]ccc34)cc2)cn1; ['Brc1ccnc2[nH]ccc12', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Clc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Ic1ccnc2[nH]ccc12', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'OB(O)c1ccnc2[nH]ccc12']; [1.0, 0.9999996423721313, 0.9999942183494568, 0.9999732971191406, 0.9992802143096924]
+Cn1ncc2cc(-c3ccnc4[nH]ccc34)ccc21; ['Brc1ccnc2[nH]ccc12', 'Cn1ncc2cc(B(O)O)ccc21', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Cn1ncc2cc(Br)ccc21', 'Clc1ccnc2[nH]ccc12']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Ic1ccnc2[nH]ccc12', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'OB(O)c1ccnc2[nH]ccc12', 'Cn1ncc2cc(B(O)O)ccc21']; [0.9999997615814209, 0.9999984502792358, 0.9999957084655762, 0.9999780654907227, 0.9997615218162537, 0.9996029734611511]
+c1cc(-c2ccc(-c3cn[nH]c3)cc2)c2cc[nH]c2n1; ['Brc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [1.0, 0.9988307952880859]
+Clc1ccc(CNc2ccnc3[nH]ccc23)cc1; ['Brc1ccnc2[nH]ccc12', 'Clc1ccc(CBr)cc1', 'ClCc1ccc(Cl)cc1', 'Nc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Fc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'NCc1ccc(Cl)cc1', 'Cc1ccc(Cl)cc1']; ['NCc1ccc(Cl)cc1', 'Nc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'O=Cc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'Oc1ccnc2[nH]ccc12', '[N-]=[N+]=Nc1ccnc2[nH]ccc12']; [0.9994942545890808, 0.999419093132019, 0.997360110282898, 0.9973320960998535, 0.9960533976554871, 0.9954243302345276, 0.9839694499969482, 0.9408339262008667, 0.9154584407806396]
 CN1c2ccc(-c3ccnc4[nH]ccc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccnc4[nH]ccc34)ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Nc1[nH]nc2cc(Br)ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Nc1[nH]nc2cc(Cl)ccc12']; ['Nc1[nH]nc2cc(Br)ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Nc1[nH]nc2cc(Cl)ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.999997615814209, 0.9997470378875732, 0.999302864074707, 0.9838939309120178]
+CCCn1cnc(-c2ccnc3[nH]ccc23)n1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
+Oc1cccc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Clc1ccnc2[nH]ccc12', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1']; [0.9999822974205017, 0.9999136924743652, 0.9995495080947876, 0.9994896650314331, 0.9994454383850098, 0.9993798732757568, 0.9989274740219116, 0.9930907487869263, 0.9689435958862305, 0.9649455547332764]
+OCc1cccc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(I)c1']; [0.999987006187439, 0.9999518394470215, 0.9994687438011169, 0.9991469383239746, 0.9983997941017151, 0.9973881244659424, 0.997282087802887, 0.9656152725219727, 0.894661009311676, 0.7961353063583374]
+Fc1ccccc1CNc1ccnc2[nH]ccc12; ['Fc1ccccc1CBr', 'Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Fc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12']; ['Nc1ccnc2[nH]ccc12', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'O=Cc1ccccc1F']; [0.9999051094055176, 0.9997931718826294, 0.9989302158355713, 0.994167685508728, 0.9898682832717896, 0.9797082543373108]
+c1cc(Nc2ccnc3[nH]ccc23)ccn1; ['Brc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'Brc1ccncc1', 'Ic1ccncc1', 'Ic1ccnc2[nH]ccc12', 'Clc1ccncc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Nc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'Nc1ccncc1', 'Nc1ccnc2[nH]ccc12']; [0.9999017715454102, 0.999901294708252, 0.9997210502624512, 0.9996779561042786, 0.9995436072349548, 0.9992641806602478, 0.9985261559486389]
 COc1cc(-c2ccnc3[nH]ccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)n1cc(-c2ccnc3[nH]ccc23)nn1; [None]; [None]; [0]
+CSc1nc(-c2ccnc3[nH]ccc23)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1ccnc2[nH]ccc12', 'N#CCCc1cccc(Br)c1']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(B(O)O)c1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999608993530273, 0.9998518228530884, 0.9996204376220703, 0.9993631839752197, 0.9738391637802124]
+c1ccc2[nH]c(-c3ccnc4[nH]ccc34)cc2c1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1cc2ccccc2[nH]1']; ['Clc1cc2ccccc2[nH]1', 'OB(O)c1ccnc2[nH]ccc12']; [0.999335765838623, 0.9978926181793213]
+Nc1nc(-c2ccnc3[nH]ccc23)cs1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1']; ['Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999973773956299, 0.9999721050262451, 0.9993985891342163, 0.9935004711151123]
+c1cc(-c2csc3ncncc23)c2cc[nH]c2n1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1ccnc2[nH]ccc12']; [0.9998086094856262, 0.9931895732879639]
+CCC(=O)Nc1ccc(-c2ccnc3[nH]ccc23)cc1; ['Brc1ccnc2[nH]ccc12', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; [0.9999924898147583, 0.999961256980896, 0.9998657703399658]
+Nc1ncncc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Nc1ncncc1Br', 'Nc1ncncc1I', 'Nc1ncncc1Cl', 'Brc1ccnc2[nH]ccc12']; ['Nc1ncncc1Br', 'Nc1ncncc1I', 'Nc1ncncc1Cl', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Nc1ncncc1Br']; [0.9999966621398926, 0.9999648332595825, 0.9998759031295776, 0.9997282028198242, 0.9995871782302856, 0.9954195022583008, 0.9755859375]
+Fc1ccc(-c2ccnc3[nH]ccc23)c(C(F)(F)F)c1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1ccnc2[nH]ccc12', 'Fc1ccc(I)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccnc2[nH]ccc12', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999769330024719, 0.9999696016311646, 0.9999088048934937, 0.9997885227203369, 0.9997739791870117, 0.9996366500854492, 0.9988025426864624]
+CC(C)c1oncc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
+c1ccc(Oc2ccnc3[nH]ccc23)nc1; ['Clc1ccccn1', 'Brc1ccccn1', 'Fc1ccccn1', 'Clc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'Fc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'O=[N+]([O-])c1ccnc2[nH]ccc12']; ['Oc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1']; [0.9999464750289917, 0.9999141693115234, 0.9994642734527588, 0.9985588788986206, 0.9966844320297241, 0.9929227828979492, 0.9856268167495728, 0.8956218957901001]
 c1cc(CCc2c[nH]nn2)c2cc[nH]c2n1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ccnc2[nH]ccc12; [None]; [None]; [0]
-O=C(Nc1ccnc2[nH]ccc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1', 'Brc1ccnc2[nH]ccc12', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC(=O)Nc1cccc(B(O)O)c1', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999948740005493, 0.9999856352806091, 0.9999544620513916, 0.999914288520813, 0.9997282028198242, 0.9994329810142517, 0.9991280436515808, 0.9966787099838257, 0.9942665100097656, 0.9861698746681213]
+CCNc1nc2ccc(-c3ccnc4[nH]ccc34)cc2s1; [None]; [None]; [0]
+O=C(Nc1ccnc2[nH]ccc12)c1c(Cl)cccc1Cl; ['Nc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'COC(=O)c1c(Cl)cccc1Cl', 'CCOC(=O)c1c(Cl)cccc1Cl', 'Clc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12']; ['O=C(O)c1c(Cl)cccc1Cl', 'O=C(Cl)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'Nc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'NC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl']; [0.9988396167755127, 0.9984593391418457, 0.997370183467865, 0.9958305358886719, 0.9683812856674194, 0.9500828981399536, 0.9032784104347229]
+Cn1cc(-c2ccnc3[nH]ccc23)c2ccccc21; ['Brc1ccnc2[nH]ccc12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Clc1ccnc2[nH]ccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1ccnc2[nH]ccc12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.999977171421051, 0.9998403191566467, 0.9998106360435486]
+CS(=O)(=O)C1CCN(c2ccnc3[nH]ccc23)CC1; ['Brc1ccnc2[nH]ccc12', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['CS(=O)(=O)C1CCNCC1', 'Ic1ccnc2[nH]ccc12', 'Fc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9964243173599243, 0.9961947202682495, 0.9942847490310669, 0.9878246188163757, 0.9435244798660278]
+COc1ccc(-c2ccnc3[nH]ccc23)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Brc1ccnc2[nH]ccc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Ic1ccnc2[nH]ccc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Clc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999982714653015, 0.9999963641166687, 0.9999741315841675, 0.9999736547470093, 0.9999667406082153, 0.9998482465744019, 0.9994500875473022, 0.998723030090332, 0.9960747957229614, 0.9958490133285522]
 CC(C)(COc1ccnc2[nH]ccc12)S(C)(=O)=O; [None]; [None]; [0]
+c1ccn2ncc(-c3ccnc4[nH]ccc34)c2c1; ['Brc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12', 'Clc1ccnc2[nH]ccc12', 'Brc1cnn2ccccc12']; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999964833259583, 0.9999946355819702, 0.9999912977218628, 0.9999852776527405, 0.9999529719352722, 0.9995447397232056, 0.9992978572845459]
+NC(=O)CCCc1ccnc2[nH]ccc12; [None]; [None]; [0]
+O=c1cc(-c2ccnc3[nH]ccc23)cc[nH]1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'O=c1cc(Br)cc[nH]1']; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'O=c1cc(Br)cc[nH]1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999791383743286, 0.9983906745910645, 0.9904651641845703]
+CCCn1cc(-c2ccnc3[nH]ccc23)cn1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'Clc1ccnc2[nH]ccc12', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; [0.9999984502792358, 0.9999962449073792, 0.9999873638153076, 0.9999842047691345, 0.9999557733535767, 0.9999110698699951, 0.998962938785553, 0.9984940886497498]
+CC(C)(O)CC(=O)NCCc1ccnc2[nH]ccc12; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1ccnc2[nH]ccc12']; [0.9985795021057129, 0.8325806856155396]
+CCNS(=O)(=O)c1ccccc1-c1ccnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CCNS(=O)(=O)c1ccccc1Br']; ['CCNS(=O)(=O)c1ccccc1Br', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999687671661377, 0.9970359802246094]
+C[S@](=O)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['Brc1ccnc2[nH]ccc12', 'CS(=O)c1ccc(Br)cc1']; ['CS(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9998960494995117, 0.9787276983261108]
+C[C@@H](Oc1ccnc2[nH]ccc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Oc1ccnc2[nH]ccc12', 'Fc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; [0.9915054440498352, 0.9894279837608337, 0.891563892364502]
+O=C1CCc2cccc(-c3ccnc4[nH]ccc34)c21; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'O=C1CCc2cccc(Br)c21', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'O=C1CCc2cccc(Cl)c21', 'Brc1ccnc2[nH]ccc12', 'O=C1CCc2cccc(Br)c21']; ['O=C1CCc2cccc(Br)c21', 'OB(O)c1ccnc2[nH]ccc12', 'O=C1CCc2cccc(Cl)c21', 'OB(O)c1ccnc2[nH]ccc12', 'O=C1CCc2cccc(Br)c21', 'c1cnc2[nH]ccc2c1']; [0.9998815059661865, 0.9997287392616272, 0.998751163482666, 0.9921728372573853, 0.990710973739624, 0.7929531335830688]
 [NH3+]Cc1ccc(-c2ccnc3[nH]ccc23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ccnc2[nH]ccc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+COc1cc(CCc2ccnc3[nH]ccc23)cc(OC)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'CC(C)Oc1cncc(Br)c1', 'Brc1ccnc2[nH]ccc12', 'CC(C)Oc1cncc(Br)c1', 'Brc1ccnc2[nH]ccc12']; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC(C)Oc1cncc(B(O)O)c1', 'OB(O)c1ccnc2[nH]ccc12', 'CC(C)Oc1cncc(Br)c1']; [0.9999978542327881, 0.9999920725822449, 0.9999784231185913, 0.9966989755630493, 0.993653416633606]
+COc1ccncc1Nc1ccnc2[nH]ccc12; ['COc1ccncc1Br', 'COc1ccncc1Cl', 'COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1N', 'Brc1ccnc2[nH]ccc12']; ['Nc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'COc1ccncc1N']; [0.9999639391899109, 0.9999284744262695, 0.9999135732650757, 0.9998704195022583, 0.9996808767318726, 0.999646782875061]
+O=c1[nH]ccc2oc(-c3ccnc4[nH]ccc34)cc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'O=c1[nH]ccc2oc(Br)cc12']; ['O=c1[nH]ccc2oc(Br)cc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9998669624328613, 0.9913243055343628]
+CC(C)(C)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['Brc1ccnc2[nH]ccc12', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]ccc12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.999996542930603, 0.999993085861206, 0.9999707937240601, 0.9998840093612671, 0.9995594620704651, 0.9995325803756714, 0.995405912399292, 0.991567075252533]
+c1ccc(-c2ccncc2Nc2ccnc3[nH]ccc23)cc1; ['Brc1cnccc1-c1ccccc1', 'Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['Nc1ccnc2[nH]ccc12', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.9999791383743286, 0.9999179840087891, 0.999650239944458, 0.9993019104003906]
+c1ccc2ncc(Nc3ccnc4[nH]ccc34)cc2c1; ['Nc1cnc2ccccc2c1', 'Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Brc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Clc1ccnc2[nH]ccc12', 'Clc1cnc2ccccc2c1']; ['OB(O)c1ccnc2[nH]ccc12', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccnc2[nH]ccc12', 'Nc1ccnc2[nH]ccc12', 'Nc1cnc2ccccc2c1', 'Nc1ccnc2[nH]ccc12']; [0.9996142387390137, 0.9994681477546692, 0.9974011182785034, 0.9943885803222656, 0.9914611577987671, 0.9853769540786743, 0.9823532700538635]
+COc1cccc(F)c1-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'Brc1ccnc2[nH]ccc12', 'COc1cccc(F)c1Cl', 'Brc1ccnc2[nH]ccc12', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Br', 'Ic1ccnc2[nH]ccc12', 'COc1cccc(F)c1I', 'Clc1ccnc2[nH]ccc12', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Cl', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'COc1cccc(F)c1Br', 'OB(O)c1ccnc2[nH]ccc12', 'COc1cccc(F)c1', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'Ic1ccnc2[nH]ccc12']; [0.9999980926513672, 0.9999963641166687, 0.9999950528144836, 0.9999881982803345, 0.9999784231185913, 0.999960720539093, 0.9999312162399292, 0.9998982548713684, 0.9998924732208252, 0.999582052230835, 0.9993754029273987, 0.9989750385284424, 0.997879147529602, 0.9464737176895142, 0.9314222931861877, 0.9255722761154175, 0.8902539610862732]
 O=c1[nH]cc(Br)c2sc(-c3ccnc4[nH]ccc34)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2ccnc3[nH]ccc23)cc1; [None]; [None]; [0]
+c1cc(-c2cnc3[nH]ccc3c2)c2cc[nH]c2n1; ['Brc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'Brc1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'Clc1ccnc2[nH]ccc12', 'Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Brc1cnc2[nH]ccc2c1']; [0.9999998211860657, 0.9999948143959045, 0.9999744892120361, 0.9998799562454224, 0.999562680721283, 0.9990410804748535, 0.9987949132919312, 0.9987446069717407]
+c1cc2c(-c3ccnc4[nH]ccc34)c[nH]c2cn1; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'Ic1c[nH]c2cnccc12', 'Clc1ccnc2[nH]ccc12', 'Brc1c[nH]c2cnccc12']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999802112579346, 0.9999730587005615, 0.9998853206634521, 0.9996688365936279, 0.9990934729576111, 0.9984997510910034, 0.9909032583236694]
+CNS(=O)(=O)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['Brc1ccnc2[nH]ccc12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Ic1ccnc2[nH]ccc12', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.999994695186615, 0.999992847442627, 0.99997878074646, 0.9997251033782959, 0.9996705055236816, 0.9989647269248962, 0.9970073699951172, 0.987402617931366, 0.964759349822998]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['Brc1ccnc2[nH]ccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]ccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999985694885254, 0.9999971985816956, 0.9999896287918091, 0.9998087882995605, 0.9998027086257935, 0.9997268915176392, 0.9935506582260132, 0.9718459248542786]
+CNC(=O)c1c(F)cccc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['Brc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]ccc12', 'CS(=O)(=O)c1ccc(Br)cc1', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999992847442627, 0.9997928738594055, 0.9995406866073608, 0.9992228746414185, 0.9828203916549683, 0.9803225994110107]
+c1cc(-c2ccc(N3CCOCC3)cc2)c2cc[nH]c2n1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Brc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1ccnc2[nH]ccc12', 'Brc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999997615814209, 0.9999983906745911, 0.9999943375587463, 0.999992847442627, 0.999914288520813, 0.9997658729553223, 0.9996542930603027, 0.9994443655014038, 0.9992048740386963, 0.9980078935623169, 0.9976527094841003, 0.992466926574707]
+Cc1cc(-c2ccnc3[nH]ccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 CN(c1ccnc2[nH]ccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC1(c2ccnc3[nH]ccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 C[C@H](Nc1ccnc2[nH]ccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@H](Nc1ccnc2[nH]ccc12)C(C)(C)O; ['Brc1ccnc2[nH]ccc12', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['C[C@H](N)C(C)(C)O', 'Fc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; [0.9898131489753723, 0.961120069026947, 0.959011971950531, 0.8810330629348755]
+OCc1ccn(-c2ccnc3[nH]ccc23)n1; ['Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9907211065292358, 0.8482245802879333]
+OCCc1cn(-c2ccnc3[nH]ccc23)cn1; ['Brc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12']; ['OCCc1cnc[nH]1', 'OCCc1c[nH]cn1']; [0.9720368385314941, 0.9623191356658936]
+C[C@@H](Nc1ccnc2[nH]ccc12)C(C)(C)O; ['Brc1ccnc2[nH]ccc12', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['C[C@@H](N)C(C)(C)O', 'Fc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; [0.9898131489753723, 0.961120069026947, 0.959011971950531, 0.9347552061080933, 0.8810330629348755]
+Oc1ccc2nc(-c3ccnc4[nH]ccc34)[nH]c2c1; ['Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N']; ['O=C(O)c1ccnc2[nH]ccc12', 'O=Cc1ccnc2[nH]ccc12']; [0.9990111589431763, 0.9979504346847534]
+Fc1cccc(Cl)c1-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Fc1cccc(Cl)c1I', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Fc1cccc(Cl)c1', 'Fc1cccc(Cl)c1I']; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Ic1ccnc2[nH]ccc12', 'Fc1cccc(Cl)c1I', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Cl', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Ic1ccnc2[nH]ccc12', 'c1cnc2[nH]ccc2c1']; [0.9999995231628418, 0.9999977350234985, 0.9999962449073792, 0.9999946355819702, 0.9999865889549255, 0.9999783039093018, 0.9999756813049316, 0.9999735355377197, 0.9999611377716064, 0.9998583793640137, 0.997528076171875, 0.9790867567062378, 0.8743892908096313]
+c1cc(-c2ccc(-n3cncn3)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ccnc2[nH]ccc12; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccnc3[nH]ccc23)cc1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Clc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C']; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1']; [0.9999950528144836, 0.9999943375587463, 0.9999717473983765, 0.9999152421951294, 0.9997917413711548, 0.9996455311775208, 0.9996281862258911, 0.9992132186889648, 0.9980266690254211, 0.9978922605514526, 0.9899705648422241]
+c1ccc2c(c1)cnn2-c1ccnc2[nH]ccc12; [None]; [None]; [0]
+COc1ccc(-c2ccnc3[nH]ccc23)c(OC)c1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'Brc1ccnc2[nH]ccc12', 'COc1cccc(OC)c1', 'COc1cccc(OC)c1', 'Brc1ccnc2[nH]ccc12']; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'Clc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'COc1ccc(I)c(OC)c1', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'COc1ccc(Cl)c(OC)c1', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'COc1ccc(Br)c(OC)c1', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'COc1cccc(OC)c1']; [0.9999921321868896, 0.9999920725822449, 0.9999842643737793, 0.9999802708625793, 0.9999796152114868, 0.9999793171882629, 0.9999715685844421, 0.9999266862869263, 0.9999241232872009, 0.9998955130577087, 0.9995295405387878, 0.9990302324295044, 0.9960776567459106, 0.9959741830825806, 0.9871463775634766, 0.9791068434715271, 0.9623372554779053]
+CC(C)n1cnnc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccnc3[nH]ccc23)n1; [None]; [None]; [0]
+c1cc(-c2nncn2C2CC2)c2cc[nH]c2n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccnc3[nH]ccc23)CC1; [None]; [None]; [0]
+CCc1cc(-c2ccnc3[nH]ccc23)nc(N)n1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CCc1cc(Cl)nc(N)n1']; ['CCc1cc(Cl)nc(N)n1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999655485153198, 0.9994791150093079]
+c1ccc(Cn2cc(-c3ccnc4[nH]ccc34)nn2)cc1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ccnc5[nH]ccc45)n3n2)cc1; [None]; [None]; [0]
+Nc1nnc(-c2ccnc3[nH]ccc23)s1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'NNC(N)=S', 'Nc1nnc(Br)s1']; ['Nc1nnc(Br)s1', 'O=C(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999979138374329, 0.9998629689216614, 0.9998457431793213]
+CCCCc1cc(-c2ccnc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccnc3[nH]ccc23)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9995578527450562, 0.9987847208976746, 0.9959897994995117, 0.9900853633880615]
+CNC(=O)c1ccc(-c2ccnc3[nH]ccc23)s1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CNC(=O)c1ccc(Br)s1']; ['CNC(=O)c1ccc(Br)s1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999985694885254, 0.9982207417488098]
+O=C(CCc1ccnc2[nH]ccc12)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1ccnc2[nH]ccc12)NCc1ccccn1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ccnc2[nH]ccc12; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2ccnc3[nH]ccc23)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3ccnc4[nH]ccc34)nc2NC1=O; [None]; [None]; [0]
+c1ccc2sc(-c3ccnc4[nH]ccc34)nc2c1; ['Brc1nc2ccccc2s1', 'Nc1ccccc1S', 'Brc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'Brc1nc2ccccc2s1']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'O=Cc1ccnc2[nH]ccc12', 'c1ccc2scnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999875426292419, 0.999902606010437, 0.9995200634002686, 0.999314546585083, 0.9992372989654541]
+Nc1cncc(-c2ccnc3[nH]ccc23)n1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'Brc1ccnc2[nH]ccc12']; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Nc1cncc(Br)n1']; [0.9998852610588074, 0.9996662139892578, 0.9978532195091248, 0.9492474794387817, 0.9286012053489685]
+C[C@@H2]NC(=O)N1CCC(c2ccnc3[nH]ccc23)CC1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccnc4[nH]ccc34)c2)cc1; [None]; [None]; [0]
-c1cc(-c2ccnc3[nH]ccc23)c2snnc2c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccnc3[nH]ccc23)n1; [None]; [None]; [0]
-COc1ccc(Oc2ccnc3[nH]ccc23)c(F)c1F; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3ccnc4[nH]ccc34)nc2NC1=O; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)Oc2ccc(Br)nc2NC1=O', 'Brc1ccnc2[nH]ccc12', 'CC1(C)Oc2cccnc2NC1=O', 'CC1(C)Oc2cccnc2NC1=O', 'Brc1ccnc2[nH]ccc12']; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'OB(O)c1ccnc2[nH]ccc12', 'CC1(C)Oc2ccc(Br)nc2NC1=O', 'OB(O)c1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'CC1(C)Oc2cccnc2NC1=O']; [0.9997773170471191, 0.9972705841064453, 0.9875304698944092, 0.9818340539932251, 0.9463883638381958, 0.9459868669509888]
+c1cc(-c2ccnc3[nH]ccc23)c2sccc2c1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999996423721313, 0.9999864101409912, 0.9999747276306152, 0.9965728521347046]
+[NH3+]Cc1ccc(Oc2ccnc3[nH]ccc23)c(F)c1; [None]; [None]; [0]
+c1cc(-c2ccnc3[nH]ccc23)c2snnc2c1; ['Brc1cccc2nnsc12', 'Brc1cccc2nnsc12', 'Clc1cccc2nnsc12']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999895095825195, 0.9982357025146484, 0.9853907823562622]
+Nc1nc(-c2ccnc3[nH]ccc23)nc2ccccc12; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Nc1nc(Cl)nc2ccccc12']; ['Nc1nc(Cl)nc2ccccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.997749924659729, 0.9950788617134094]
+c1ccc2nc(-c3ccnc4[nH]ccc34)ncc2c1; ['Brc1ncc2ccccc2n1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1', 'Ic1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12']; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1ncc2ccccc2n1', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'c1ccc2ncncc2c1', 'c1ccc2ncncc2c1']; [0.9999948143959045, 0.999966025352478, 0.9997119903564453, 0.9993795156478882, 0.9964048266410828, 0.9927883148193359]
+c1cnc2c(-c3ccnc4[nH]ccc34)c[nH]c2c1; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'Ic1c[nH]c2cccnc12', 'Clc1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12']; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Ic1c[nH]c2cccnc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999217987060547, 0.9999008178710938, 0.9997135400772095, 0.9995384812355042, 0.9885705709457397, 0.9731875061988831]
+c1cc(-c2ncc3cc[nH]c3n2)c2cc[nH]c2n1; ['CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Clc1ncc2cc[nH]c2n1', 'Brc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12']; ['Clc1ncc2cc[nH]c2n1', 'OB(O)c1ccnc2[nH]ccc12', 'c1ncc2cc[nH]c2n1', 'c1ncc2cc[nH]c2n1']; [0.9998987317085266, 0.9991922378540039, 0.9384126663208008, 0.8953884840011597]
+OCCn1cnc(-c2ccnc3[nH]ccc23)c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccnc3[nH]ccc23)[nH]1; [None]; [None]; [0]
+COc1ccc(Oc2ccnc3[nH]ccc23)c(F)c1F; ['Brc1ccnc2[nH]ccc12', 'COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(B(O)O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc([N+](=O)[O-])c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['COc1ccc(O)c(F)c1F', 'Oc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12', 'Fc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12', 'O=[N+]([O-])c1ccnc2[nH]ccc12']; [0.9998959302902222, 0.9998531341552734, 0.9998098015785217, 0.9996675252914429, 0.9990639686584473, 0.9990580081939697, 0.997268795967102, 0.9928804636001587, 0.9788404703140259, 0.9774295687675476]
+COc1ccc(C#N)cc1-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'COc1ccc(C#N)cc1B(O)O', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1Br', 'Brc1ccnc2[nH]ccc12']; ['COc1ccc(C#N)cc1B(O)O', 'Ic1ccnc2[nH]ccc12', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'Ic1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'COc1ccc(C#N)cc1Br']; [0.9999879598617554, 0.9999802708625793, 0.9999797344207764, 0.9999783039093018, 0.9999722838401794, 0.9999644160270691, 0.9999624490737915, 0.9999420642852783, 0.9999002814292908, 0.999846339225769, 0.9997963905334473, 0.9991495609283447, 0.9988976716995239, 0.9969300031661987, 0.9857345819473267]
+COc1ncccc1-c1ccnc2[nH]ccc12; ['Brc1ccnc2[nH]ccc12', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'Brc1ccnc2[nH]ccc12', 'Brc1ccnc2[nH]ccc12', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'COc1ncccc1Br', 'COc1ncccc1Cl', 'COc1ncccc1B(O)O', 'Brc1ccnc2[nH]ccc12']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'COc1ncccc1I', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1B(O)O', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'COc1ncccc1Br']; [0.9999966621398926, 0.999992847442627, 0.9999911785125732, 0.9999794960021973, 0.9999712705612183, 0.9999048709869385, 0.9998682141304016, 0.9997506141662598, 0.9997318983078003, 0.9991916418075562, 0.9983830451965332, 0.9981734752655029, 0.9886313676834106]
+COc1ccc(OC)c(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'COc1ccc(OC)c(B(O)O)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'Brc1ccnc2[nH]ccc12', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'Brc1ccnc2[nH]ccc12', 'COc1ccc(OC)c(I)c1']; ['COc1ccc(OC)c(B(O)O)c1', 'Ic1ccnc2[nH]ccc12', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(I)c1', 'Clc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'COc1ccc(OC)c(Br)c1', 'Ic1ccnc2[nH]ccc12']; [0.999923586845398, 0.9998687505722046, 0.9998146295547485, 0.9997047185897827, 0.9996787309646606, 0.999557614326477, 0.9994344115257263, 0.9994113445281982, 0.9986401200294495, 0.9986151456832886, 0.9959143400192261, 0.9938494563102722, 0.9904711246490479, 0.976600170135498, 0.959311842918396]
+CN(C)S(=O)(=O)c1cccc(-c2ccnc3[nH]ccc23)c1; ['Brc1ccnc2[nH]ccc12', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccnc3[nH]ccc23)OC1(C)C', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccnc2[nH]ccc12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccnc2[nH]ccc12', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'Clc1ccnc2[nH]ccc12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; [0.9999994039535522, 0.999998927116394, 0.9999935626983643, 0.9999822378158569, 0.9998626708984375, 0.9998480081558228, 0.9978307485580444, 0.9977771043777466]
+CN(C)c1cc(-c2ccnc3[nH]ccc23)cnn1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4ccnc5[nH]ccc45)CC3)nc2c1; ['Brc1ccnc2[nH]ccc12', 'Fc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9999129772186279, 0.9998732805252075, 0.9995696544647217, 0.9990125298500061]
 O=C(Nc1cccc(-c2ccnc3[nH]ccc23)c1)C1CCNCC1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cnc(N)c(O)c1; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9964784979820251, 0.9917672872543335]
+C[C@@]1(O)CC[C@H](c2ccnc3[nH]ccc23)CC1; [None]; [None]; [0]
+CCOc1ccccc1-c1cnc(N)c(O)c1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999279975891113, 0.9990353584289551, 0.9951364994049072, 0.9122372269630432]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccnc3[nH]ccc23)C1; ['Brc1ccnc2[nH]ccc12', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'CC(C)(C)OC(=O)N1CC=C(c2c[nH]c3ccccc23)CC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'Fc1ccnc2[nH]ccc12', 'OB(O)c1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]ccc12', 'c1cnc2[nH]ccc2c1']; [0.9999433755874634, 0.9997771978378296, 0.9997010231018066, 0.999536395072937, 0.9993140697479248, 0.9951887130737305, 0.9835882186889648, 0.8932708501815796]
+CC(C)S(=O)(=O)c1ccccc1-c1cnc(N)c(O)c1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Nc1ncc(Br)cc1O']; [0.9936360716819763]
+Cc1nnc(-c2ccccc2-c2cnc(N)c(O)c2)[nH]1; [None]; [None]; [0]
+CCn1cc(-c2cnc(N)c(O)c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ncc(Br)cc1O']; [0.9934908151626587]
+CP(C)(=O)c1ccccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccnc3ccccc23)cc1O; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.9989380836486816, 0.9313629865646362, 0.9170242547988892, 0.8891470432281494]
+Nc1ncc(-c2cccc(C(F)(F)F)c2)cc1O; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999935507774353, 0.996652364730835, 0.9930139780044556]
+Nc1ncc(-c2ccccc2OC(F)(F)F)cc1O; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'FC(F)(F)Oc1ccccc1Br']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ncc(Br)cc1O']; [0.9998937845230103, 0.9985964298248291, 0.9894719123840332, 0.9414010047912598]
+NC(=O)c1ccccc1-c1cnc(N)c(O)c1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.999937891960144, 0.9938862323760986, 0.9586596488952637]
+Nc1ncc(-c2cnn(Cc3ccccc3)c2)cc1O; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9987256526947021, 0.9936269521713257]
+Cn1cnc2ccc(-c3cnc(N)c(O)c3)cc2c1=O; [None]; [None]; [0]
+Nc1ncc(-c2cnn(CCO)c2)cc1O; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OCCn1cc(B(O)O)cn1']; [0.9951616525650024, 0.7813783884048462]
+COc1ccc(F)cc1[C@@H](C)c1cnc(N)c(O)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccccc2C(=O)[O-])cc1O; [None]; [None]; [0]
+Nc1ncc(-c2cnc(-c3ccccc3)[nH]2)cc1O; [None]; [None]; [0]
+Nc1ncc([C@@H](N)c2ccco2)cc1O; [None]; [None]; [0]
+COc1cnc(-c2cnc(N)c(O)c2)nc1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(NC(=O)c3ccccc3)c2)cc1O; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9998438358306885, 0.9985954761505127]
+Nc1ncc(-c2cc(Cl)ccc2Cl)cc1O; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9998462200164795, 0.9950056076049805, 0.9807454943656921]
+Cc1ccc(-c2cnc(N)c(O)c2)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1']; ['Nc1ncc(Br)cc1O']; [0.7653462290763855]
+Nc1ncc(-c2cnc3ccccn23)cc1O; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cnc(N)c(O)c2)s1; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1']; ['Nc1ncc(Br)cc1O']; [0.9999947547912598]
+CC(C)(C)c1nc(-c2cnc(N)c(O)c2)cs1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cnc(N)c(O)c2)s1; [None]; [None]; [0]
+Nc1ncc(-c2cnc3cccnn23)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2c(Cl)cccc2Cl)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9977924823760986]
+Cc1nc(N)sc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(Br)c2)cc1O; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cccc(Br)c1']; [0.9976954460144043, 0.9661389589309692]
+Nc1nccc(-c2cnc(N)c(O)c2)n1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cnc(N)c(O)c2)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9994634389877319, 0.9971351623535156, 0.9891685843467712]
+Nc1ncc(-c2cccc(Cn3cncn3)c2)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2cnn3ncccc23)cc1O; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.9999512434005737]
+Nc1ncc(-c2ccc3ccccc3c2)cc1O; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.9999873638153076, 0.9988298416137695, 0.987459659576416]
+NC(=O)c1c(F)cccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+Nc1ncc(-c2c[nH]nc2C(F)(F)F)cc1O; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.9943735599517822]
+Nc1ncc(-c2cncc3ccccc23)cc1O; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'OB(O)c1cncc2ccccc12']; [0.9994171261787415, 0.9993522763252258, 0.752225399017334]
 Cc1c(-c2cnc(N)c(O)c2)sc(=O)n1C; [None]; [None]; [0]
-Nc1ncc(-c2cnn3ncccc23)cc1O; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cnc(N)c(O)c3)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; ['Nc1ncc(Br)cc1O']; [0.9999980926513672]
+Nc1ncc(-c2ccc3c(N)[nH]nc3c2)cc1O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cnc(N)c(O)c3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999977946281433, 0.9999769926071167, 0.999801754951477]
+Nc1ncc(-c2cccc(CC(=O)[O-])c2)cc1O; [None]; [None]; [0]
+CC(C)(C)c1cnc(Cc2cnc(N)c(O)c2)o1; [None]; [None]; [0]
 CN1c2ccc(-c3cnc(N)c(O)c3)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(O)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1ncc(-c2ccc(-c3cn[nH]c3)cc2)cc1O; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999951124191284, 0.9950825572013855, 0.9796387553215027]
+Nc1ncc(-c2cccc(CO)c2)cc1O; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1']; [0.9998579025268555, 0.9988037347793579, 0.9671136736869812, 0.9310058355331421]
+Nc1ncc(-c2cccc(O)c2)cc1O; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cccc(O)c1']; [0.9983015060424805, 0.9920704364776611]
 CC(C)n1cc(-c2cnc(N)c(O)c2)nn1; [None]; [None]; [0]
+Nc1ncc(-c2csc3ncncc23)cc1O; ['Brc1csc2ncncc12']; ['Nc1ncc(Br)cc1O']; [0.8882710933685303]
+CCCn1cnc(-c2cnc(N)c(O)c2)n1; [None]; [None]; [0]
+Nc1ncc(-c2cc3ccccc3[nH]2)cc1O; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(O)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+N#CCCc1cccc(-c2cnc(N)c(O)c2)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.976584255695343, 0.9761160612106323]
+CSc1nc(-c2cnc(N)c(O)c2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+Nc1ncc(-c2cncnc2N)cc1O; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cnc(N)c(O)c2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ncc(Br)cc1O']; [0.9999402165412903]
+Nc1ncc(-c2ccc(F)cc2C(F)(F)F)cc1O; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9989480972290039, 0.9980155229568481]
+CC(=O)Nc1cccc(-c2cnc(N)c(O)c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999061822891235, 0.9975454807281494, 0.9910160303115845, 0.8027022480964661]
+Nc1ncc(Cc2c(F)cccc2F)cc1O; [None]; [None]; [0]
+COc1ccc(-c2cnc(N)c(O)c2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999946355819702, 0.9992018342018127, 0.9974380731582642, 0.8656874895095825]
+CC[C@H](CO)c1cnc(N)c(O)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cnc(N)c(O)c3)cc2s1; [None]; [None]; [0]
+Nc1ncc(-c2cnn3ccccc23)cc1O; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; [0.9999843835830688, 0.999908447265625, 0.9992504119873047, 0.9963364005088806]
+Cn1cc(-c2cnc(N)c(O)c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1ncc(Br)cc1O']; [0.9996550679206848]
+CCCn1cc(-c2cnc(N)c(O)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9980045557022095, 0.8078176975250244]
+Nc1ncc(-c2cc[nH]c(=O)c2)cc1O; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.9992570877075195]
+Nc1ncc(-c2cccc3c2C(=O)CC3)cc1O; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O']; [0.9916564226150513]
+CS(=O)(=O)c1cccc(Cc2cnc(N)c(O)c2)c1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cc1O; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cnc(N)c(O)c2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999843239784241, 0.9979026913642883]
+CN(c1ncccc1Cc1cnc(N)c(O)c1)S(C)(=O)=O; [None]; [None]; [0]
+Nc1ncc(-c2cc3c(=O)[nH]ccc3o2)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2c[nH]c3cnccc23)cc1O; [None]; [None]; [0]
+COc1cccc(F)c1-c1cnc(N)c(O)c1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999966621398926, 0.9998166561126709, 0.9996538758277893, 0.923181414604187]
 Nc1ncc(-c2cc3c(=O)[nH]cc(Br)c3s2)cc1O; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+Nc1ncc(-c2cnc3[nH]ccc3c2)cc1O; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999812245368958, 0.9943314790725708]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999597072601318, 0.998399019241333, 0.9938192963600159]
+Nc1ncc([C@H](CO)c2ccccc2)cc1O; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999133348464966, 0.9955170154571533]
+Nc1ncc(-c2ccc(N3CCOCC3)cc2)cc1O; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.9999996423721313, 0.9999856948852539]
+Nc1ncc([C@H](CO)Cc2ccccc2)cc1O; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.999984622001648, 0.9993292093276978, 0.9965528845787048]
+Nc1ncc(-c2c(F)cccc2Cl)cc1O; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1c(F)cccc1Cl']; [0.999993622303009, 0.9992713928222656]
+CC1(c2cnc(N)c(O)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(-n3cncn3)cc2)cc1O; [None]; [None]; [0]
+COc1ccc(-c2cnc(N)c(O)c2)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999109506607056, 0.9986187219619751, 0.9965113997459412]
+Nc1ncc(-c2ccc(C(=O)c3ccccc3)cc2)cc1O; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9999797344207764, 0.9998455047607422]
+Cc1cc(-c2cnc(N)c(O)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cnc(N)c(O)c2)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+Nc1ncc(-c2nncn2C2CC2)cc1O; [None]; [None]; [0]
+CCc1cc(-c2cnc(N)c(O)c2)nc(N)n1; [None]; [None]; [0]
+Nc1ncc(-c2cn(Cc3ccccc3)nn2)cc1O; [None]; [None]; [0]
+Nc1nnc(-c2cnc(N)c(O)c2)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cnc(N)c(O)c2)n1; ['CC(C)(O)c1cccc(Br)n1']; ['Nc1ncc(Br)cc1O']; [0.9957072138786316]
 Nc1ncc(-c2ccn(CC[NH3+])n2)cc1O; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc(N)c(O)c2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+CCCCc1cc(-c2cnc(N)c(O)c2)nc(N)n1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cnc(N)c(O)c3)nc2NC1=O; [None]; [None]; [0]
+Nc1cncc(-c2cnc(N)c(O)c2)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc(N)c(O)c3)c2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2cccc3ccsc23)cc1O; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999963045120239, 0.9983758926391602, 0.923619270324707]
 Nc1ncc(-c2cccc3nnsc23)cc1O; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
+Nc1ncc(CCCNC(=O)c2cccs2)cc1O; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cnc(N)c(O)c2)[nH]1; [None]; [None]; [0]
 Nc1ncc(CCCNC(=O)C2CCC2)cc1O; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnc(N)c(O)c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(NC(=O)C3CCNCC3)c2)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2ncc3ccccc3n2)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2c[nH]c3cccnc23)cc1O; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.999442994594574]
+Nc1ncc(-c2ncc3cc[nH]c3n2)cc1O; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cnc(N)c(O)c1; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.999983549118042, 0.9987629055976868, 0.9897575974464417, 0.9431648254394531]
+Nc1ncc(-c2cn(CCO)cn2)cc1O; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1Cc1cnc(N)c(O)c1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cnc(N)c(O)c2)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9988921284675598, 0.988492488861084, 0.963668704032898]
+C[C@@]1(O)CC[C@H](c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
+COc1ncccc1-c1cnc(N)c(O)c1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9997916221618652, 0.9990999698638916, 0.9951529502868652, 0.9809925556182861, 0.8225181102752686]
+CN(C)S(=O)(=O)c1cccc(-c2cnc(N)c(O)c2)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999909400939941, 0.9860134124755859]
+CCOc1ccc(-c2cnc(N)c(O)c2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999947547912598, 0.9996650218963623]
+CC(=O)N(C)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999618530273438, 0.9996205568313599]
+CS(=O)(=O)c1cccc(-c2cnc(N)c(O)c2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999897480010986, 0.9968558549880981, 0.9879258871078491]
+COc1cc(-c2cnc(N)c(O)c2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999116659164429, 0.943601131439209]
 Cc1nc(C(C)(C)O)sc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cnc(N)c(O)c2)c1; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9955391883850098, 0.9637643098831177]
+CN(C)c1cc(-c2cnc(N)c(O)c2)cnn1; [None]; [None]; [0]
+COc1ccc(-c2cnc(N)c(O)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999823570251465, 0.9989340305328369]
+Cc1ccc2ncn(-c3cnc(N)c(O)c3)c2c1; [None]; [None]; [0]
+Nc1ncc(-c2nc3ccccc3[nH]2)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2cccc(NC(=O)C3CC3)c2)cc1O; [None]; [None]; [0]
+Cc1cc(Nc2cnc(N)c(O)c2)sn1; ['Cc1cc(N)sn1']; ['Nc1ncc(Br)cc1O']; [0.9940177798271179]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc(N)c(O)c3)cc2)CC1; [None]; [None]; [0]
+Nc1ncc(-c2nccc3ccccc23)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(=O)[O-])cc2)cc1O; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.99997878074646, 0.999536395072937, 0.9975261688232422]
 N#Cc1cccc(Cn2cc(-c3cnc(N)c(O)c3)cn2)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(=O)Nc3ccccc3)cc2)cc1O; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.9999722242355347, 0.9991483688354492]
+Nc1ncc(Nc2ncccn2)cc1O; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cnc(N)c(O)c2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999275207519531, 0.9977923631668091, 0.9931539297103882]
+Nc1ncc(-c2cccc(C3CCNCC3)c2)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2ccc(OCCO)cc2)cc1O; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1']; [0.9999628663063049, 0.9986411929130554, 0.9978442192077637]
+Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cc2)cc1O; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.9999972581863403, 0.9998732209205627, 0.9979641437530518]
+Nc1ncc(Nc2ccncn2)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cn2)cc1O; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc3c(c2)CS(=O)(=O)C3)cc1O; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(F)(F)F)cc2)cc1O; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc(C(F)(F)F)cc1']; [0.9999643564224243, 0.9989299774169922]
+CN(C)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999951124191284, 0.9996781349182129]
+CN(C)S(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999897480010986, 0.9984180927276611]
 CC(C)c1cc(-c2cnc(N)c(O)c2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9920735359191895, 0.9866107702255249]
+CS(=O)(=O)N1CCC(c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cnc(N)c(O)c3)c2)CC1; [None]; [None]; [0]
+Nc1ncc([C@H]2CCN(C(=O)c3ccccc3)C2)cc1O; [None]; [None]; [0]
 CCCOc1ccc(-c2cnc(N)c(O)c2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cnc(N)c(O)c3)[nH]c2c1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(Br)cc2)cc1O; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc(Br)cc1']; [0.9997944235801697, 0.9849790334701538]
+CCN(CC)C(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999936819076538, 0.9995454549789429, 0.9956469535827637]
+CN(C)c1ccc(-c2cnc(N)c(O)c2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999847412109375, 0.9203228950500488]
+Nc1ncc(-c2ccn3nccc3n2)cc1O; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(N)c(O)c2)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999063014984131, 0.9556782841682434, 0.9404511451721191]
+COc1ccc(Cl)cc1-c1cnc(N)c(O)c1; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9995003342628479, 0.994330883026123, 0.9698084592819214, 0.7883908748626709]
+Cc1c(C(=O)[O-])cccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccccc2-n2cccn2)cc1O; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Brc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1ncc(Br)cc1O', 'Nc1ncccc1O']; [0.9999122619628906, 0.9986981749534607, 0.9852510690689087, 0.9757739901542664, 0.9469181299209595]
+Nc1ncc(-c2c[nH]c3ccccc23)cc1O; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.9973861575126648]
+Nc1ncc(-c2ccc3c(c2)CCO3)cc1O; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc2c(c1)CCO2']; [0.9999922513961792, 0.9995495080947876]
+COc1cc(OC)c(-c2cnc(N)c(O)c2)cc1Cl; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-Nc1ncc(Cc2nc3c(F)c(F)ccc3[nH]2)cc1O; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3cnc(N)c(O)c3)[nH]c2c1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(O)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999895095825195, 0.9970862865447998, 0.994158148765564]
+Nc1ncc(-c2cccc3c2OCO3)cc1O; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Brc1cccc2c1OCO2']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Nc1ncc(Br)cc1O']; [0.9999914169311523, 0.9903766512870789, 0.9699093103408813, 0.9344351887702942]
+Nc1ncc(-c2cnc3ccccc3c2)cc1O; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cnc2ccccc2c1']; [0.9998139142990112, 0.930977463722229]
+Nc1ncc(-c2cc(-c3ccccc3)[nH]n2)cc1O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999927282333374, 0.999420166015625]
+Nc1ncc(-c2scc3c2OCCO3)cc1O; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc(N)c(O)c2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.999983549118042, 0.9957789182662964, 0.9432594776153564]
+Nc1nc(-c2cnc(N)c(O)c2)cs1; [None]; [None]; [0]
+CC1(COc2cnc(N)c(O)c2)COC1; [None]; [None]; [0]
+Nc1ncc(-c2ccn(-c3cccc(Cl)c3)n2)cc1O; [None]; [None]; [0]
+CSc1ccc(-c2cnc(N)c(O)c2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999683499336243, 0.9973278045654297, 0.9923867583274841]
+Nc1ncc(-c2cc3ccccc3s2)cc1O; ['CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'Nc1ncc(Br)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1cc2ccccc2s1']; [0.9997760057449341, 0.9994012117385864]
+COc1cccc(C(=O)Nc2cnc(N)c(O)c2)c1; [None]; [None]; [0]
+Cc1cc(-c2cnc(N)c(O)c2)nc(N)n1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(F)cc2Cl)cc1O; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Fc1ccc(Br)c(Cl)c1', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc(F)cc1Cl', 'Nc1ncc(Br)cc1O', 'OB(O)c1ccc(F)cc1Cl']; [0.9999290704727173, 0.9978935718536377, 0.9762996435165405, 0.9575805068016052]
+CCN1CCN(Cc2ccc(-c3cnc(N)c(O)c3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9997613430023193, 0.9991906881332397]
+Nc1ncc(-c2ccc3c(c2)CCC(=O)N3)cc1O; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.999028205871582]
+Nc1ncc(-c2ncc(Br)cn2)cc1O; [None]; [None]; [0]
+COc1ccc(-c2cnc(N)c(O)c2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O']; [0.999988317489624, 0.9989507794380188]
+CCc1ccc(-c2cnc(N)c(O)c2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999926090240479, 0.9989582300186157, 0.998897910118103]
+COc1ccc(CNc2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(Cl)cc2Cl)cc1O; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Clc1ccc(Br)c(Cl)c1']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ncc(Br)cc1O']; [0.9998503923416138, 0.9987291097640991, 0.9927211403846741, 0.8270782828330994]
+Nc1ncc(-c2ncc3cccn3n2)cc1O; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(O)c2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999608993530273, 0.9999510645866394]
+Nc1ncc(-c2cc3ccccn3n2)cc1O; [None]; [None]; [0]
+Cn1cc(-c2cnc(N)c(O)c2)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999836683273315, 0.9998389482498169, 0.9992930889129639, 0.9954744577407837, 0.9817385673522949]
+CC1(C)Cc2cc(-c3cnc(N)c(O)c3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cnc(N)c(O)c3)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['Nc1ncc(Br)cc1O']; [0.9425612092018127]
+Nc1ncc(-c2cccc3ccc(O)cc23)cc1O; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.99980628490448]
 Nc1ncc(NC2CN(C(=O)C3CC3)C2)cc1O; [None]; [None]; [0]
+COc1cc(F)c(-c2cnc(N)c(O)c2)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.99997878074646, 0.9979311227798462, 0.9923806190490723, 0.7624571919441223]
+COc1cc(-c2cnc(N)c(O)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999932050704956, 0.9995633959770203, 0.996727705001831]
+Nc1ncc(-c2ncc(Cl)cn2)cc1O; [None]; [None]; [0]
+Cc1nc(Nc2cnc(N)c(O)c2)sc1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999769926071167, 0.9989383220672607, 0.997596263885498]
+Cc1cc(Nc2cnc(N)c(O)c2)nn1C; [None]; [None]; [0]
+Cc1csc2c(-c3cnc(N)c(O)c3)ncnc12; [None]; [None]; [0]
 Nc1cc(-c2cnc(N)c(O)c2)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(O)c2)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9644910097122192, 0.8879246711730957]
+CCNC(=O)c1ccc(-c2cnc(N)c(O)c2)nc1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
+Nc1ncc(NC(=O)c2ccco2)cc1O; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+Nc1ncc(Cc2ccc(S(=O)(=O)CCO)cc2)cc1O; [None]; [None]; [0]
 Nc1ncc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cc1O; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnc(N)c(O)c2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9998370409011841, 0.9943791627883911, 0.9590898752212524]
+CO[C@@H]1CC[C@@H](c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cnc(N)c(O)c2)CC1; [None]; [None]; [0]
+COc1ccc2oc(-c3cnc(N)c(O)c3)cc2c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cnc(N)c(O)c1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cnc(N)c(O)c2)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3cn[nH]c3c2)cc1O; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Brc1ccc2cn[nH]c2c1']; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1ncc(Br)cc1O']; [0.9999867677688599, 0.9986421465873718, 0.9973554611206055, 0.9016646146774292]
+CNC(=O)c1ccc(OC)c(-c2cnc(N)c(O)c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2cc3ccccc3o2)cc1O; ['Nc1ncc(Br)cc1O']; ['OB(O)c1cc2ccccc2o1']; [0.9985458850860596]
+C[NH+](C)Cc1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2ncc3sccc3n2)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2cc(-c3cccnc3)ccn2)cc1O; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cnc(N)c(O)c1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1ccn(C)n1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9997972846031189, 0.9997129440307617, 0.8926273584365845]
+Cn1cc(Br)cc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+COc1ccc2nc(-c3cnc(N)c(O)c3)[nH]c2c1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(NC(=O)N3CCCC3)c2)cc1O; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cnc(N)c(O)c3)[nH]c2c1; [None]; [None]; [0]
-Nc1ncc(-c2ncn3c2CCCC3)cc1O; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cnc(N)c(O)c2)c1; [None]; [None]; [0]
+CCc1cccc(-c2cnc(N)c(O)c2)n1; ['CCc1cccc(Br)n1']; ['Nc1ncc(Br)cc1O']; [0.8971434831619263]
+Cc1cc(-c2cnc(N)c(O)c2)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cnc(N)c(O)c3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cnc(N)c(O)c3)cn2)CC1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc(N)c(O)c2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; [0.9999774098396301, 0.9962559938430786, 0.9733713865280151]
+Cc1n[nH]c2cc(-c3cnc(N)c(O)c3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O', 'Nc1ncc(Br)cc1O']; [0.9999992847442627, 0.9999952912330627, 0.9999814033508301, 0.9989186525344849]
+CC(=O)N1CCC(n2cc(-c3cnc(N)c(O)c3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Nc1ncc(Br)cc1O']; [0.9999335408210754]
+Nc1ncc(-c2cccc(N3CCCC3=O)c2)cc1O; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['Nc1ncc(Br)cc1O']; [0.9989482164382935]
+Nc1ncc(-c2ncn3c2CCCC3)cc1O; [None]; [None]; [0]
+Nc1ncc(-c2ccc(CCO)cc2)cc1O; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O', 'Nc1ncc(Cl)cc1O']; ['Nc1ncc(Br)cc1O', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1']; [0.9999639391899109, 0.9990337491035461, 0.9889194965362549]
 Nc1ncc(NC(=O)c2cccc(OC(F)(F)F)c2)cc1O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc(N)c(O)c2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cnc(N)c(O)c3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cnc(N)c(O)c1; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Nc1ncc(Br)cc1O']; [0.9059714674949646]
+CNC(=O)c1ccc(-c2cnc(N)c(O)c2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1ncc(Br)cc1O']; [0.9997586011886597]
+COc1cc(N2CCNCC2)ccc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1O']; [0.997151255607605]
+CN(C)C(=O)c1ccc(-c2cnc(N)c(O)c2)nc1; ['CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1ncc(Br)cc1O']; [0.8425862789154053]
+CCNC(=O)Cc1ccc(-c2cnc(N)c(O)c2)cc1; [None]; [None]; [0]
 Cn1nc(-c2cnc(N)c(O)c2)cc1C(C)(C)O; [None]; [None]; [0]
+Nc1ncc(Nc2ccc(F)cn2)cc1O; [None]; [None]; [0]
 Cc1cc(Nc2cnc(N)c(O)c2)ncc1F; [None]; [None]; [0]
+Nc1ncc(Nc2ccccn2)cc1O; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnc(N)c(O)c2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cnc(N)c(O)c2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cnc(N)c(O)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1Nc1ncccn1; ['CNC(=O)c1ccccc1Br', 'Brc1ncccn1', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1F']; ['Nc1ncccn1', 'CNC(=O)c1ccccc1N', 'Nc1ncccn1', 'Ic1ncccn1', 'Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1']; [0.9926450252532959, 0.988416314125061, 0.976299524307251, 0.9702796339988708, 0.9621850252151489, 0.9407326579093933, 0.936091423034668, 0.9067413806915283]
+CCOc1ccccc1Nc1ncccn1; ['CCOc1ccccc1N', 'Brc1ncccn1', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1N', 'CCOc1ccccc1N', 'CCOc1ccccc1Cl', 'CCOc1ccccc1N', 'CCOc1ccccc1N', 'CCOc1ccccc1N', 'CCOc1ccccc1N']; ['Clc1ncccn1', 'CCOc1ccccc1N', 'Nc1ncccn1', 'Nc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Fc1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1']; [0.9980959892272949, 0.9977697730064392, 0.9929987788200378, 0.9883325695991516, 0.9877851009368896, 0.9735585451126099, 0.9725499749183655, 0.955936074256897, 0.9531468152999878, 0.9364726543426514, 0.9207822680473328]
+COC(C)(C)CCNc1ncccn1; ['COC(C)(C)CCN']; ['Clc1ncccn1']; [0.9947349429130554]
+CC(C)S(=O)(=O)c1ccccc1Nc1ncccn1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1N', 'Brc1ncccn1', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N']; ['Nc1ncccn1', 'Clc1ncccn1', 'CC(C)S(=O)(=O)c1ccccc1N', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'Fc1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.9976773262023926, 0.9960468411445618, 0.9953987002372742, 0.9946087002754211, 0.9766231179237366, 0.9590548872947693, 0.9582710266113281, 0.933281421661377]
+Fc1cc(F)cc(CNc2ncccn2)c1; ['Fc1cc(F)cc(CCl)c1', 'Brc1ncccn1', 'Fc1ncccn1', 'Fc1cc(F)cc(CBr)c1', 'Nc1ncccn1', 'Nc1ncccn1', 'Clc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1', 'NCc1cc(F)cc(F)c1']; ['Nc1ncccn1', 'NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'Nc1ncccn1', 'OCc1cc(F)cc(F)c1', 'O=Cc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'O=c1nccc[nH]1']; [0.9998822212219238, 0.9998703598976135, 0.9998432397842407, 0.9997785687446594, 0.9996063113212585, 0.9995603561401367, 0.999470591545105, 0.9993656873703003, 0.998975932598114, 0.9986432194709778, 0.9977396130561829, 0.8985844850540161]
+CP(C)(=O)c1ccccc1Nc1ncccn1; ['CP(C)(=O)c1ccccc1N', 'CP(C)(=O)c1ccccc1N', 'Brc1ncccn1', 'CP(C)(=O)c1ccccc1N', 'CP(C)(=O)c1ccccc1N']; ['Clc1ncccn1', 'CSc1ncccn1', 'CP(C)(=O)c1ccccc1N', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1']; [0.9997165203094482, 0.9994500875473022, 0.999242901802063, 0.9992309808731079, 0.9988390207290649]
+c1cnc(Nc2ccnc3ccccc23)nc1; ['Clc1ncccn1', 'Brc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Clc1ccnc2ccccc12', 'Brc1ccnc2ccccc12', 'Nc1ccnc2ccccc12', 'Ic1ccnc2ccccc12', 'CSc1ncccn1', 'CC(=O)Nc1ncccn1']; ['Nc1ccnc2ccccc12', 'Nc1ccnc2ccccc12', 'Nc1ccnc2ccccc12', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ccnc2ccccc12', 'Clc1ccnc2ccccc12']; [0.9996442794799805, 0.9989042282104492, 0.9986560344696045, 0.9974650144577026, 0.994489312171936, 0.994152843952179, 0.968353271484375, 0.8788095712661743, 0.8684730529785156]
+CCn1cc(Nc2ncccn2)cn1; ['Brc1ncccn1', 'CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(N)cn1', 'CCn1cc(N)cn1']; ['CCn1cc(N)cn1', 'Fc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.9983541965484619, 0.9962956309318542, 0.995639443397522, 0.9952177405357361, 0.9874931573867798, 0.9865978360176086, 0.9818862676620483, 0.9813492298126221]
+FC(F)(F)c1cccc(Nc2ncccn2)c1; ['Nc1ncccn1', 'Ic1ncccn1', 'Brc1ncccn1', 'CS(=O)c1ncccn1', 'Clc1ncccn1', 'Fc1ncccn1', 'CSc1ncccn1', 'FC(F)(F)c1cccc(I)c1', 'CS(=O)(=O)c1ncccn1', 'Fc1cccc(C(F)(F)F)c1', 'CS(=O)(=O)c1ncccn1', 'FC(F)(F)c1cccc(Br)c1', 'Nc1cccc(C(F)(F)F)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1ncccn1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1ncccn1', 'O=CNc1cccc(C(F)(F)F)c1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9994258880615234, 0.9989892244338989, 0.9988781213760376, 0.9914087057113647, 0.9904943704605103, 0.9896067380905151, 0.9868345856666565, 0.985739529132843, 0.970283567905426, 0.9240950345993042, 0.9138869047164917, 0.8545310497283936, 0.8086479902267456]
+FC(F)(F)Oc1ccccc1Nc1ncccn1; ['Brc1ncccn1', 'Ic1ncccn1', 'Clc1ncccn1', 'FC(F)(F)Oc1ccccc1Br', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Fc1ncccn1', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Cl', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'Fc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'Nc1ncccn1']; ['Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'Nc1ncccn1', 'Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'Nc1ncccn1', 'Nc1ncccn1', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'Nc1ncccn1', 'Nc1ncccn1', 'Oc1ccccc1OC(F)(F)F']; [0.9999341368675232, 0.9997429847717285, 0.9997023940086365, 0.9996918439865112, 0.9992700815200806, 0.9989025592803955, 0.9975177049636841, 0.9971169233322144, 0.996823787689209, 0.9950409531593323, 0.9925457835197449, 0.992478609085083, 0.9915722608566284, 0.9389979839324951]
+Cc1nnc(-c2ccccc2Nc2ncccn2)[nH]1; [None]; [None]; [0]
+NC(=O)c1ccccc1Nc1ncccn1; ['NC(=O)c1ccccc1Br', 'Clc1ncccn1', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1F', 'NC(=O)c1ccccc1B(O)O']; ['Nc1ncccn1', 'NC(=O)c1ccccc1N', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9813228845596313, 0.9752973914146423, 0.9388028383255005, 0.9332095384597778, 0.9076114296913147]
+c1ccc(Cn2cc(Nc3ncccn3)cn2)cc1; ['Brc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Brc1cnn(Cc2ccccc2)c1', 'Ic1cnn(Cc2ccccc2)c1']; ['Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9962932467460632, 0.9942651987075806, 0.9941697120666504, 0.992617130279541, 0.9879976511001587, 0.9127812385559082, 0.819894552230835]
+Cn1cnc2ccc(Nc3ncccn3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1ncccn1']; [0.9987126588821411]
+c1ccc(-c2ncc(Nc3ncccn3)[nH]2)cc1; [None]; [None]; [0]
+O=C([O-])c1ccccc1Nc1ncccn1; [None]; [None]; [0]
+OCCn1cc(Nc2ncccn2)cn1; ['Clc1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1', 'Brc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; ['Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'OCCn1cc(Br)cn1']; [0.9992830753326416, 0.9983417987823486, 0.9944223165512085, 0.9939230680465698, 0.9880234003067017, 0.9876798391342163, 0.9683235883712769]
+O=C(Nc1cccc(Nc2ncccn2)c1)c1ccccc1; ['O=c1onc(-c2ccccc2)o1']; ['c1ccc(Nc2ncccn2)cc1']; [0.9935614466667175]
+CC(C)(C)c1nc(Nc2ncccn2)cs1; [None]; [None]; [0]
+COc1cnc(Nc2ncccn2)nc1; ['Brc1ncccn1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['COc1cnc(N)nc1', 'Nc1ncccn1', 'Nc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'Fc1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.9980270862579346, 0.9962834119796753, 0.9896706342697144, 0.9892387390136719, 0.9690015316009521, 0.9466037750244141, 0.9363142848014832, 0.9235876798629761, 0.8923317193984985]
+Clc1ccc(Cl)c(Nc2ncccn2)c1; ['Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'Brc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Clc1ncccn1', 'Fc1cc(Cl)ccc1Cl', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1cc(Cl)ccc1Cl', 'CSc1ncccn1', 'Clc1ccc(Cl)c(Cl)c1']; ['Nc1ncccn1', 'Nc1ncccn1', 'Nc1cc(Cl)ccc1Cl', 'Nc1cc(Cl)ccc1Cl', 'Nc1cc(Cl)ccc1Cl', 'Nc1ncccn1', 'OB(O)c1cc(Cl)ccc1Cl', 'Oc1cc(Cl)ccc1Cl', 'Nc1ncccn1', 'Nc1cc(Cl)ccc1Cl', 'Nc1ncccn1']; [0.999699056148529, 0.999539852142334, 0.9995366334915161, 0.9992034435272217, 0.9990862607955933, 0.9989040493965149, 0.9977521300315857, 0.9963029623031616, 0.9958959817886353, 0.9937140345573425, 0.8043050169944763]
+CC(C)C(=O)CONc1ncccn1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1Nc1ncccn1; [None]; [None]; [0]
+Cc1nc2ccccn2c1Nc1ncccn1; ['Brc1ncccn1', 'Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1N', 'CS(=O)(=O)c1ncccn1', 'Cc1nc2ccccn2c1Br', 'CSc1ncccn1']; ['Cc1nc2ccccn2c1N', 'Fc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'Cc1nc2ccccn2c1N', 'Nc1ncccn1', 'Cc1nc2ccccn2c1N']; [0.9999275207519531, 0.9997334480285645, 0.9995789527893066, 0.9992460012435913, 0.9987996816635132, 0.9980090260505676, 0.9950175881385803]
+c1cnc(Nc2cnc3ccccn23)nc1; ['Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Clc1ncccn1', 'Brc1ncccn1', 'Fc1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1']; ['Nc1ncccn1', 'Nc1ncccn1', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12']; [0.9986628293991089, 0.9924198389053345, 0.9918570518493652, 0.9854215383529663, 0.9766248464584351, 0.9749797582626343, 0.936981737613678, 0.9305270910263062, 0.8925426602363586]
+Cc1nc(C)c(Nc2ncccn2)s1; [None]; [None]; [0]
+CNc1nc(C)c(Nc2ncccn2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1Nc1ncccn1; [None]; [None]; [0]
+c1cnc(Nc2cnc3cccnn23)nc1; ['Brc1cnc2cccnn12', 'Clc1ncccn1', 'Clc1cnc2cccnn12']; ['Nc1ncccn1', 'Nc1cnc2cccnn12', 'Nc1ncccn1']; [0.9998970031738281, 0.9998012185096741, 0.9994392395019531]
+Clc1cccc(Cl)c1Nc1ncccn1; ['Clc1cccc(Cl)c1Br', 'Clc1ncccn1', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Cl', 'Nc1c(Cl)cccc1Cl', 'Fc1c(Cl)cccc1Cl', 'Nc1ncccn1']; ['Nc1ncccn1', 'Nc1c(Cl)cccc1Cl', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'OB(O)c1c(Cl)cccc1Cl']; [0.999618649482727, 0.9993458986282349, 0.9989871978759766, 0.998970627784729, 0.9985487461090088, 0.9982265830039978, 0.9846542477607727]
+c1cnc(Nc2cccc(Cn3cncn3)c2)nc1; ['Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1']; ['Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1']; [0.9999542236328125, 0.9999418258666992, 0.9998996257781982]
+Brc1cccc(Nc2ncccn2)c1; ['Fc1ncccn1', 'Ic1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'Brc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'Brc1cccc(I)c1', 'Clc1cccc(Br)c1', 'CS(=O)c1ncccn1', 'Fc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Nc1cccc(Br)c1']; ['Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1cccc(Br)c1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.999873161315918, 0.9998502731323242, 0.9998427629470825, 0.9992166757583618, 0.9986201524734497, 0.9982097148895264, 0.9965863227844238, 0.9960745573043823, 0.9934082627296448, 0.9931313991546631, 0.9845131635665894, 0.9670567512512207, 0.9643005728721619]
+Cc1ccc(Cl)c(Nc2ncccn2)c1; ['Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(F)c1', 'Cc1ccc(Cl)c(O)c1', 'COc1cc(C)ccc1Cl', 'Cc1ccc(Cl)c(N)c1']; ['Nc1ncccn1', 'Nc1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9995391964912415, 0.9976453185081482, 0.9926784038543701, 0.9908372163772583, 0.9869222640991211, 0.9850060939788818, 0.9734090566635132, 0.9721648693084717]
+c1cnc(NNCc2cccnc2)nc1; [None]; [None]; [0]
 Cc1c(Nc2ncccn2)sc(=O)n1C; [None]; [None]; [0]
-c1cnc(Nc2cnn3ncccc23)nc1; [None]; [None]; [0]
-CC(C)(C)c1cnc(CNc2ncccn2)o1; [None]; [None]; [0]
+Nc1nccc(Nc2ncccn2)n1; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'Ic1ncccn1', 'Clc1ncccn1', 'CSc1ncccn1', 'Brc1ncccn1', 'Fc1ncccn1']; ['Nc1ncccn1', 'Nc1ncccn1', 'Nc1ccnc(N)n1', 'Nc1ccnc(N)n1', 'Nc1ccnc(N)n1', 'Nc1ccnc(N)n1', 'Nc1ccnc(N)n1']; [0.998468279838562, 0.9966390132904053, 0.9937078952789307, 0.9912387132644653, 0.9751547574996948, 0.9651288986206055, 0.9010269045829773]
+c1cnc(Nc2cnn3ncccc23)nc1; ['Brc1cnn2ncccc12']; ['Nc1ncccn1']; [0.9834383726119995]
+c1cnc(Nc2ccc3ccccc3c2)nc1; ['Ic1ncccn1', 'Brc1ncccn1', 'Clc1ncccn1', 'Fc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Fc1ccc2ccccc2c1']; ['Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9995086193084717, 0.9994708299636841, 0.9992938041687012, 0.9986605644226074, 0.9970688223838806, 0.995460569858551, 0.9893676042556763, 0.9874218702316284, 0.9807745814323425, 0.9655544757843018, 0.891416072845459, 0.8474957942962646, 0.8054816722869873]
+c1cnc(NNc2cccnc2)nc1; [None]; [None]; [0]
+c1cnc(Nn2cnc3ccccc32)nc1; [None]; [None]; [0]
+c1cnc(NNCCc2c[nH]cn2)nc1; [None]; [None]; [0]
+O=C(NNc1ncccn1)c1cccs1; ['NNc1ncccn1', 'NNc1ncccn1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9977772235870361, 0.8729928731918335]
+O=C([O-])Cc1cccc(Nc2ncccn2)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1Nc1ncccn1; ['Clc1ncccn1', 'Brc1ncccn1', 'Ic1ncccn1', 'FC(F)(F)c1n[nH]cc1I', 'FC(F)(F)c1n[nH]cc1Br', 'Fc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'CS(=O)c1ncccn1']; ['Nc1c[nH]nc1C(F)(F)F', 'Nc1c[nH]nc1C(F)(F)F', 'Nc1c[nH]nc1C(F)(F)F', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1c[nH]nc1C(F)(F)F', 'Nc1c[nH]nc1C(F)(F)F', 'Nc1c[nH]nc1C(F)(F)F', 'Nc1c[nH]nc1C(F)(F)F']; [0.9989564418792725, 0.9980859756469727, 0.9968855977058411, 0.9947266578674316, 0.9946392774581909, 0.9939572811126709, 0.9860455989837646, 0.9840911030769348, 0.9648799896240234]
+NC(=O)c1c(F)cccc1Nc1ncccn1; ['Clc1ncccn1', 'NC(=O)c1c(F)cccc1Br', 'Ic1ncccn1']; ['NC(=O)c1c(N)cccc1F', 'Nc1ncccn1', 'NC(=O)c1c(N)cccc1F']; [0.9957263469696045, 0.986086368560791, 0.9826323986053467]
+c1cnc(Nc2cncc3ccccc23)nc1; ['Clc1ncccn1', 'Brc1ncccn1', 'Fc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'Fc1cncc2ccccc12', 'Clc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1ncccn1', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12']; ['Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'OB(O)c1cncc2ccccc12', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9998949766159058, 0.9998377561569214, 0.9998255968093872, 0.9996092319488525, 0.9992233514785767, 0.9990842938423157, 0.9989092350006104, 0.9969652891159058, 0.9967427849769592, 0.996100664138794, 0.9898127913475037, 0.9861966371536255, 0.975798487663269]
+c1ccc(CCNNc2ncccn2)cc1; ['ClCCc1ccccc1']; ['NNc1ncccn1']; [0.9632569551467896]
+Cn1cc(-c2ccc(Nc3ncccn3)cc2)cn1; ['Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Clc1ncccn1', 'Brc1ncccn1', 'CSc1ncccn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1']; ['Fc1ncccn1', 'Ic1ncccn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Nc1ncccn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1']; [0.9999710917472839, 0.9999603033065796, 0.9999511241912842, 0.9998685121536255, 0.9998559951782227, 0.9998447895050049, 0.9996457695960999, 0.9996367692947388]
+Nc1[nH]nc2cc(Nc3ncccn3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['Nc1ncccn1']; [0.9853326082229614]
 CN1c2ccc(Nc3ncccn3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(Nc3ncccn3)ccc21; ['Brc1ncccn1', 'Cn1ncc2cc(N)ccc21', 'Clc1ncccn1', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Cn1ncc2cc(Br)ccc21', 'CS(=O)c1ncccn1', 'Cn1ncc2cc(Cl)ccc21']; ['Cn1ncc2cc(N)ccc21', 'Ic1ncccn1', 'Cn1ncc2cc(N)ccc21', 'Nc1ncccn1', 'Nc1ncccn1', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Nc1ncccn1', 'Cn1ncc2cc(N)ccc21', 'Nc1ncccn1']; [0.9999827742576599, 0.9999785423278809, 0.9998835921287537, 0.9998830556869507, 0.999463677406311, 0.9992952346801758, 0.9992934465408325, 0.9990465641021729, 0.9986869096755981, 0.9896364212036133]
+c1cnc(Nc2ccc(-c3cn[nH]c3)cc2)nc1; ['Fc1ncccn1', 'Clc1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ncccn1']; [0.9999736547470093, 0.9997082948684692, 0.9995179176330566, 0.9994117617607117, 0.998470664024353, 0.9953646659851074]
+Clc1ccc(CNNc2ncccn2)cc1; [None]; [None]; [0]
+CCCn1cnc(Nc2ncccn2)n1; ['Brc1ncccn1', 'CCCn1cnc(N)n1', 'CCCn1cnc(N)n1', 'CCCn1cnc(N)n1', 'CCCn1cnc(N)n1', 'CCCn1cnc(N)n1', 'CCCn1cnc(N)n1']; ['CCCn1cnc(N)n1', 'Clc1ncccn1', 'Fc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1']; [0.9877983331680298, 0.9708942770957947, 0.9625207185745239, 0.8970350027084351, 0.8929072618484497, 0.8581525087356567, 0.852755069732666]
+Oc1cccc(Nc2ncccn2)c1; ['Brc1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1cccc(O)c1']; ['Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Oc1cccc(Cl)c1', 'Oc1cccc(F)c1', 'Nc1ncccn1']; [0.9994227886199951, 0.9984782934188843, 0.9912060499191284, 0.980518102645874, 0.9791543483734131, 0.9663047194480896, 0.9581004977226257, 0.9307036399841309, 0.8198040723800659]
+OCc1cccc(Nc2ncccn2)c1; ['Ic1ncccn1', 'CS(=O)c1ncccn1', 'Clc1ncccn1', 'Brc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1']; ['Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'OCc1cccc(B(O)O)c1', 'Nc1cccc(CO)c1', 'OCc1cccc(I)c1']; [0.9976606369018555, 0.9937871694564819, 0.9906395673751831, 0.9897158145904541, 0.9682357311248779, 0.9618839025497437, 0.9016808271408081, 0.8663198947906494]
 COc1cc(Nc2ncccn2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(Nc2ncccn2)nn1; [None]; [None]; [0]
-c1cnc(NCCc2c[nH]nn2)nc1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCNc1ncccn1; [None]; [None]; [0]
-O=C(NNc1ncccn1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+c1cnc(NNc2ccncc2)nc1; ['Clc1ccncc1']; ['NNc1ncccn1']; [0.9104702472686768]
+CC(C)n1cc(Nc2ncccn2)nn1; ['CC(C)n1cc(N)nn1', 'Brc1ncccn1', 'CC(C)n1cc(N)nn1', 'CC(C)n1cc(N)nn1', 'CC(C)n1cc(N)nn1', 'CC(C)n1cc(N)nn1']; ['Fc1ncccn1', 'CC(C)n1cc(N)nn1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1', 'Clc1ncccn1', 'CS(=O)c1ncccn1']; [0.9957531690597534, 0.9955662488937378, 0.9950566291809082, 0.9934687614440918, 0.9912822246551514, 0.9898103475570679]
+Fc1ccccc1CNNc1ncccn1; [None]; [None]; [0]
+CSc1nc(Nc2ncccn2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1Nc1ncccn1; [None]; [None]; [0]
+c1cnc(NCCc2c[nH]nn2)nc1; ['Fc1ncccn1', 'CSc1ncccn1', 'Clc1ncccn1', 'Brc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1']; ['NCCc1c[nH]nn1', 'NCCc1c[nH]nn1', 'NCCc1c[nH]nn1', 'NCCc1c[nH]nn1', 'NCCc1c[nH]nn1', 'NCCc1c[nH]nn1', 'NCCc1c[nH]nn1']; [0.9989465475082397, 0.9982266426086426, 0.9946728944778442, 0.9918650388717651, 0.9864711761474609, 0.9840383529663086, 0.9708911180496216]
+c1cnc(Nc2csc3ncncc23)nc1; ['Brc1csc2ncncc12']; ['Nc1ncccn1']; [0.9993579983711243]
+c1cnc(Nc2cc3ccccc3[nH]2)nc1; ['Brc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Clc1ncccn1']; ['Nc1cc2ccccc2[nH]1', 'Nc1cc2ccccc2[nH]1', 'Nc1cc2ccccc2[nH]1']; [0.9912625551223755, 0.9862579107284546, 0.8917368650436401]
+N#CCCc1cccc(Nc2ncccn2)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9975420832633972, 0.7630939483642578]
+Nc1nc(Nc2ncccn2)cs1; ['Nc1nc(Cl)cs1', 'Clc1ncccn1', 'NC(N)=S', 'Fc1ncccn1']; ['Nc1ncccn1', 'Nc1csc(N)n1', 'O=C(CCl)Nc1ncccn1', 'Nc1csc(N)n1']; [0.9993234276771545, 0.996975302696228, 0.9930343627929688, 0.9719158411026001]
+Nc1ncncc1Nc1ncccn1; ['Clc1ncccn1', 'Brc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1cncnc1N']; ['Nc1cncnc1N', 'Nc1cncnc1N', 'Nc1cncnc1N', 'Nc1ncncc1F', 'Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1Cl', 'Nc1ncccn1']; [0.9992125630378723, 0.9980771541595459, 0.9879796504974365, 0.9860424399375916, 0.974488377571106, 0.97154301404953, 0.9637742042541504, 0.9247848987579346]
+CCNc1nc2ccc(Nc3ncccn3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(Nc2ncccn2)cc1; ['CCC(=O)Nc1ccc(N)cc1']; ['Clc1ncccn1']; [0.9801129698753357]
+Fc1ccc(Nc2ncccn2)c(C(F)(F)F)c1; ['Brc1ncccn1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Clc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'CS(=O)(=O)c1ncccn1', 'Fc1ccc(F)c(C(F)(F)F)c1', 'Nc1ccc(F)cc1C(F)(F)F', 'CSc1ncccn1']; ['Nc1ccc(F)cc1C(F)(F)F', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ncccn1', 'O=CNc1ccc(F)cc1C(F)(F)F', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ccc(F)cc1C(F)(F)F']; [0.9994912147521973, 0.9986830949783325, 0.9982271790504456, 0.9971185326576233, 0.9920037984848022, 0.9918380975723267, 0.9909239411354065, 0.9908332824707031, 0.9891794323921204, 0.9834588170051575, 0.921912431716919, 0.8735712766647339]
+NC(=O)CCCNc1ncccn1; ['Brc1ncccn1', 'CSc1ncccn1', 'Clc1ncccn1', None, 'COC(=O)CCCNc1ncccn1', 'CS(=O)(=O)c1ncccn1']; ['NCCCC(N)=O', 'NCCCC(N)=O', 'NCCCC(N)=O', None, 'N', 'NCCCC(N)=O']; [0.9945244789123535, 0.994243860244751, 0.9928322434425354, 0, 0.965023398399353, 0.9561847448348999]
+O=C(Nc1cnn2cccnc12)c1cccc(OC(F)(F)F)c1; ['Nc1cnn2cccnc12', None, 'Brc1cnn2cccnc12', 'Nc1cnn2cccnc12', 'O=C(Cl)c1cccc(OC(F)(F)F)c1', 'Ic1cnn2cccnc12', 'COC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', None, 'NC(=O)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'O=[N+]([O-])c1cnn2cccnc12', 'NC(=O)c1cccc(OC(F)(F)F)c1', 'Nc1cnn2cccnc12']; [0.9999991655349731, 0, 0.9999989867210388, 0.9999963641166687, 0.9999823570251465, 0.9999684691429138, 0.9999486207962036]
+Cc1ccc(Nc2ncccn2)c(Br)c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Brc1ncccn1', 'CSc1ncccn1', 'Cc1ccc(Br)c(Br)c1', None, 'Cc1ccc(Nc2ncccn2)cc1']; ['Fc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Nc1ncccn1', None, 'O=C1CCC(=O)N1Br']; [0.9999446868896484, 0.9998139142990112, 0.9993436932563782, 0.9992162585258484, 0.9982763528823853, 0.9980637431144714, 0.9919553399085999, 0, 0.8675734400749207]
+CCN(CC)c1ccnc2[nH]ccc12; ['CCNCC', 'CCNCC', 'CCNCC', None, 'Brc1ccnc2[nH]ccc12', None]; ['Fc1ccnc2[nH]ccc12', 'Ic1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', None, 'CCNCC', None]; [0.9918164014816284, 0.9897913932800293, 0.9719640612602234, 0, 0.8908982276916504, 0]
+Brc1ccc(-c2cnn3cccnc23)cc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1cnn2cccnc12', 'Brc1ccc(I)cc1', 'COC(CC(OC)OC)OC', 'Brc1ccc(Br)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'COC(CC(OC)OC)OC', 'Brc1ccc(I)cc1', 'Ic1cnn2cccnc12', 'Brc1cnn2cccnc12', 'O=S(=O)(Oc1ccc(Br)cc1)C(F)(F)F', 'Brc1ccc(I)cc1', 'Brc1ccc(Br)cc1', 'Clc1ccc(Br)cc1', 'Brc1ccc(Br)cc1', 'Brc1ccc(Br)cc1', None]; ['Ic1cnn2cccnc12', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Nc1n[nH]cc1-c1ccc(Br)cc1', 'CC1(C)OB(c2cnn3cccnc23)OC1(C)C', 'Clc1ccc(Br)cc1', 'Nc1[nH]ncc1-c1ccc(Br)cc1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'OB(O)c1cnn2cccnc12', 'OB(O)c1cnn2cccnc12', 'c1cnc2ccnn2c1', 'O=C(O)c1cnn2cccnc12', None]; [1.0, 0.9999998807907104, 0.9999991059303284, 0.9999975562095642, 0.9999940395355225, 0.9999831914901733, 0.9999824166297913, 0.9999747276306152, 0.9999678134918213, 0.9999638199806213, 0.9994088411331177, 0.9992466568946838, 0.9984493851661682, 0.9931459426879883, 0.967018187046051, 0.9391117095947266, 0]
+CC(C)(C)c1ccc(-c2cnc(N)c(O)c2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', None]; ['Nc1ncc(Br)cc1O', 'Nc1ncc(Br)cc1O', None]; [0.9999940395355225, 0.9996793270111084, 0]
+Nc1ncc(-c2ccc(OC(F)(F)F)cc2)cc1O; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1ncc(Br)cc1O', None]; ['Nc1ncc(Br)cc1O', 'OB(O)c1ccc(OC(F)(F)F)cc1', None]; [0.9999984502792358, 0.9998629093170166, 0]
+Nc1ncc(-c2nc3ccccc3s2)cc1O; [None]; [None]; [0]
+O=C(NNc1ncccn1)c1c(Cl)cccc1Cl; ['NNc1ncccn1', 'NNc1ncccn1']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.9984596371650696, 0.9953693151473999]
+CC(C)(O)CC(=O)NCCNc1ncccn1; ['CCOC(=O)CC(C)(C)O', 'COC(=O)CC(C)(C)O', None, 'CC(C)(O)CC(=O)O', 'CC(C)(O)CC(=O)[O-]']; ['NCCNc1ncccn1', 'NCCNc1ncccn1', None, 'NCCNc1ncccn1', 'NCCNc1ncccn1']; [0.9998857975006104, 0.99986732006073, 0, 0.9981753826141357, 0.9937137365341187]
+CC(=O)Nc1cccc(Nc2ncccn2)c1; ['CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1']; ['Clc1ncccn1', 'CSc1ncccn1', 'Fc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9954639673233032, 0.9946264028549194, 0.9943639039993286, 0.9907364845275879, 0.9765021800994873, 0.923608660697937, 0.899644136428833]
 CC(C)(CONc1ncccn1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(Nc2ncccn2)cc1Cl; ['Brc1ncccn1', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(F)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(O)cc1Cl', 'COc1ccc(N)cc1Cl']; ['COc1ccc(N)cc1Cl', 'Nc1ncccn1', 'CSc1ncccn1', 'Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9998841285705566, 0.9995675086975098, 0.9992868900299072, 0.9990959167480469, 0.9990178942680359, 0.9978023767471313, 0.9956622123718262, 0.99549400806427, 0.9899135828018188, 0.9886301755905151, 0.9789599776268005]
+c1ccc(ONc2ncccn2)nc1; [None]; [None]; [0]
+c1cnc(Nc2cnn3ccccc23)nc1; ['Clc1ncccn1', 'Clc1cnn2ccccc12', 'Ic1cnn2ccccc12', 'Brc1ncccn1', 'Fc1ncccn1', 'Ic1ncccn1', 'Brc1cnn2ccccc12', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1']; ['Nc1cnn2ccccc12', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12', 'Nc1ncccn1', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12']; [0.9988768696784973, 0.998404860496521, 0.9980650544166565, 0.9968835115432739, 0.9935954809188843, 0.992013692855835, 0.9890134930610657, 0.9661184549331665, 0.9566143751144409, 0.9161983132362366]
+CCCn1cc(Nc2ncccn2)cn1; ['Brc1ncccn1', 'CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Br)cn1']; ['CCCn1cc(N)cn1', 'Fc1ncccn1', 'Clc1ncccn1', 'CSc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9998255968093872, 0.9996902942657471, 0.9995121955871582, 0.9987920522689819, 0.9985977411270142, 0.9985314607620239, 0.9979831576347351, 0.9967917203903198, 0.9960330128669739]
+Cn1cc(Nc2ncccn2)c2ccccc21; [None]; [None]; [0]
+COc1cc(CCNc2ncccn2)cc(OC)c1; ['COc1cc(CCN)cc(OC)c1', 'Brc1ncccn1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCBr)cc(OC)c1', 'COc1cc(CCO)cc(OC)c1']; ['Fc1ncccn1', 'COc1cc(CCN)cc(OC)c1', 'Clc1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.999626874923706, 0.9993740320205688, 0.9992913007736206, 0.9963754415512085, 0.9956656694412231, 0.9942091107368469, 0.9940581321716309, 0.9857909679412842, 0.9514689445495605]
+O=c1cc(Nc2ncccn2)cc[nH]1; ['Brc1ncccn1', 'Nc1ncccn1', 'Fc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Nc1cc[nH]c(=O)c1']; ['Nc1cc[nH]c(=O)c1', 'O=c1cc(I)cc[nH]1', 'Nc1cc[nH]c(=O)c1', 'Nc1cc[nH]c(=O)c1', 'O=c1cc(F)cc[nH]1', 'Nc1cc[nH]c(=O)c1', 'O=c1cc(Cl)cc[nH]1', 'O=c1cc(O)cc[nH]1', 'O=c1cc(Br)cc[nH]1', 'Nc1cc[nH]c(=O)c1', 'Nc1ncccn1']; [0.9993586540222168, 0.9979023933410645, 0.9967278242111206, 0.995041012763977, 0.9944323301315308, 0.9927002787590027, 0.9580620527267456, 0.9542893767356873, 0.9460359811782837, 0.9255255460739136, 0.9189660549163818]
+CC(C)(N)c1ccc(Nc2ncccn2)cc1; ['CC(C)(N)c1ccc(N)cc1', 'CC(C)(N)c1ccc(N)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['Clc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1']; [0.9777992963790894, 0.918440580368042, 0.825874924659729]
+O=C1CCc2cccc(Nc3ncccn3)c21; ['Brc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1cccc2c1C(=O)CC2', 'Nc1ncccn1']; ['Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'O=C1CCc2cccc(F)c21', 'Nc1cccc2c1C(=O)CC2', 'Nc1ncccn1', 'O=C1CCc2cccc(O)c21']; [0.9998055696487427, 0.9997149705886841, 0.9982767105102539, 0.9978930950164795, 0.9967799186706543, 0.9916462898254395, 0.9893976449966431, 0.9786347150802612, 0.973676323890686, 0.9669780731201172, 0.9419866800308228]
+CS(=O)(=O)C1CCN(Nc2ncccn2)CC1; [None]; [None]; [0]
+CCN(CC)Nc1ncccn1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1Nc1ncccn1; ['CCNS(=O)(=O)c1ccccc1N', 'CCNS(=O)(=O)c1ccccc1Br']; ['Clc1ncccn1', 'Nc1ncccn1']; [0.9699939489364624, 0.9623515009880066]
+C[S@](=O)c1ccc(Nc2ncccn2)cc1; ['CS(=O)c1ccc(N)cc1', 'CS(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1']; ['CSc1ncccn1', 'Clc1ncccn1', 'CS(=O)c1ccc(N)cc1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9941579103469849, 0.9799401760101318, 0.9599010944366455, 0.9327211380004883, 0.7854651212692261]
 [NH3+]Cc1ccc(Nc2ncccn2)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](ONc1ncccn1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)Oc1cncc(Nc2ncccn2)c1; ['CC(C)Oc1cncc(Br)c1']; ['Nc1ncccn1']; [0.9986101388931274]
+CC(C)(C)c1ccc(Nc2ncccn2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'Brc1ncccn1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)Br']; ['Clc1ncccn1', 'CC(C)(C)c1ccc(N)cc1', 'Fc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'c1ccc(Nc2ncccn2)cc1']; [0.9997421503067017, 0.9995255470275879, 0.9993968605995178, 0.9986710548400879, 0.9977325201034546, 0.9934903383255005, 0.990325927734375, 0.9891538619995117, 0.9876046180725098, 0.9577782154083252, 0.9565244913101196, 0.9228006601333618, 0.8152050375938416]
+COc1cccc(F)c1Nc1ncccn1; ['COc1cccc(F)c1N', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1N', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1N', 'COc1cccc(F)c1I', 'COc1cccc(F)c1F']; ['CSc1ncccn1', 'Nc1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9995381832122803, 0.9995025396347046, 0.9989807605743408, 0.9980568885803223, 0.9905658960342407, 0.9866454601287842, 0.9437257647514343, 0.7612846493721008]
+c1cnc(NNc2cnc3ccccc3c2)nc1; ['Clc1cnc2ccccc2c1']; ['NNc1ncccn1']; [0.9839504957199097]
 O=c1[nH]cc(Br)c2sc(Nc3ncccn3)cc12; [None]; [None]; [0]
-CN(Nc1ncccn1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@@H](ONc1ncccn1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
 c1ccc(-c2ccncc2NNc2ncccn2)cc1; [None]; [None]; [0]
+c1cnc(Nc2c[nH]c3cnccc23)nc1; ['Ic1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.942968487739563, 0.8605237603187561]
+O=c1[nH]ccc2oc(Nc3ncccn3)cc12; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1Nc1ncccn1; [None]; [None]; [0]
+COc1ccncc1NNc1ncccn1; [None]; [None]; [0]
+c1cnc(Nc2cnc3[nH]ccc3c2)nc1; ['Fc1ncccn1', 'Brc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'Clc1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'CS(=O)(=O)c1ncccn1', 'Brc1cnc2[nH]ccc2c1']; ['Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1cnc2[nH]ccc2c1', 'Nc1ncccn1']; [0.9997997283935547, 0.9994864463806152, 0.9994090795516968, 0.9993343353271484, 0.9985592365264893, 0.9965921640396118, 0.991797685623169, 0.9914495944976807, 0.9895687699317932, 0.9856715202331543]
+CNS(=O)(=O)c1ccc(Nc2ncccn2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(F)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['Clc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.9991939067840576, 0.9813209176063538, 0.95184326171875, 0.9425253868103027, 0.9046791791915894, 0.9027289748191833, 0.8909609317779541, 0.8885218501091003]
+CC(C)(C)NS(=O)(=O)c1ccc(Nc2ncccn2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'Brc1ncccn1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(F)cc1']; ['Fc1ncccn1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'Clc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.9999308586120605, 0.9995685815811157, 0.9995608329772949, 0.9992550015449524, 0.9875109791755676, 0.9823120832443237, 0.9818904399871826, 0.9737762212753296]
+CC1(Nc2ncccn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Nc2ncccn2)cc1; ['CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'Brc1ncccn1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(F)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['Fc1ncccn1', 'Clc1ncccn1', 'CS(=O)(=O)c1ccc(N)cc1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.999872088432312, 0.9997237920761108, 0.9996230602264404, 0.9988629817962646, 0.99794602394104, 0.9972766637802124, 0.9799243807792664, 0.9799095988273621, 0.9778224229812622, 0.972144603729248, 0.9591236114501953]
+c1cnc(Nc2ccc(N3CCOCC3)cc2)nc1; ['Fc1ncccn1', 'Clc1ncccn1', 'Brc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1']; ['Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9999603033065796, 0.9998504519462585, 0.9997761249542236, 0.9997661113739014, 0.9996622800827026, 0.9995285272598267, 0.9981523156166077, 0.9946013689041138, 0.9881513118743896, 0.9754212498664856, 0.9050272703170776]
+Cc1cc(Nc2ncccn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Fc1cccc(Cl)c1Nc1ncccn1; ['Fc1cccc(Cl)c1Br', 'Clc1ncccn1', 'Nc1ncccn1', 'Fc1cccc(Cl)c1I', 'Nc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Cl', 'Fc1cccc(Cl)c1F', 'Fc1cccc(Cl)c1', 'Nc1ncccn1']; ['Nc1ncccn1', 'Nc1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Oc1c(F)cccc1Cl']; [0.9998036026954651, 0.9996335506439209, 0.9996116161346436, 0.9993054866790771, 0.9988336563110352, 0.9980349540710449, 0.9959604144096375, 0.8997349739074707, 0.8731081485748291]
+CN(Nc1ncccn1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 C[C@H](NNc1ncccn1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+c1cnc(Nc2ccc(-n3cncn3)cc2)nc1; ['Brc1ncccn1', 'Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1']; ['Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1']; [0.9998745918273926, 0.9997057914733887, 0.9978739619255066, 0.9975903630256653, 0.9972349405288696]
+OCCc1cn(Nc2ncccn2)cn1; [None]; [None]; [0]
+OCc1ccn(Nc2ncccn2)n1; [None]; [None]; [0]
+C[C@H](NNc1ncccn1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](NNc1ncccn1)C(C)(C)O; [None]; [None]; [0]
+Oc1ccc2nc(Nc3ncccn3)[nH]c2c1; [None]; [None]; [0]
+c1cnc(Nn2ncc3ccccc32)nc1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(Nc2ncccn2)cc1; ['Brc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'Fc1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; ['Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1']; [0.9980732202529907, 0.9980037808418274, 0.9953215718269348, 0.9927271604537964, 0.9893662929534912, 0.9884656667709351, 0.9836108684539795, 0.9746649265289307, 0.9509662985801697, 0.9456861019134521, 0.7682538032531738]
+COc1ccc(Nc2ncccn2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'Brc1ncccn1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(O)c(OC)c1']; ['Nc1ncccn1', 'Clc1ncccn1', 'Fc1ncccn1', 'COc1ccc(N)c(OC)c1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9981715679168701, 0.9974456429481506, 0.9961809515953064, 0.9960062503814697, 0.9939626455307007, 0.9926049709320068, 0.9921126365661621, 0.9913549423217773, 0.9893749952316284, 0.9803723096847534, 0.9331594705581665, 0.9214547276496887]
+CSc1nc(C)c(Nc2ncccn2)[nH]1; [None]; [None]; [0]
+Oc1cccc2c1cnn2Nc1ncccn1; [None]; [None]; [0]
+c1ccc(-c2ccc3nnc(CNc4ncccn4)n3n2)cc1; ['NNc1ccc(-c2ccccc2)nn1']; ['O=C(O)CNc1ncccn1']; [0.9999476671218872]
+CC(=O)N[C@@H]1CC[C@@H](Nc2ncccn2)CC1; [None]; [None]; [0]
+O=C(CCNc1ncccn1)NCc1ccccn1; [None]; [None]; [0]
+CC(C)n1cnnc1Nc1ncccn1; [None]; [None]; [0]
+CCc1cc(Nc2ncccn2)nc(N)n1; ['Brc1ncccn1', 'CCc1cc(Cl)nc(N)n1', 'CCc1cc(N)nc(N)n1', 'CCc1cc(N)nc(N)n1', 'CCc1cc(N)nc(N)n1']; ['CCc1cc(N)nc(N)n1', 'Nc1ncccn1', 'Clc1ncccn1', 'CSc1ncccn1', 'Fc1ncccn1']; [0.9967788457870483, 0.9948815107345581, 0.9866605997085571, 0.9637843370437622, 0.9590059518814087]
+c1ccc(Cn2cc(Nc3ncccn3)nn2)cc1; [None]; [None]; [0]
+Nc1nnc(Nc2ncccn2)s1; [None]; [None]; [0]
+c1cnc(Nc2nncn2C2CC2)nc1; [None]; [None]; [0]
 [NH3+]CCn1ccc(Nc2ncccn2)n1; [None]; [None]; [0]
-c1ccc(-c2ccc3nnc(CNc4ncccn4)n3n2)cc1; [None]; [None]; [0]
-O=S(=O)(CNc1ncccn1)NCc1ccccn1; [None]; [None]; [0]
+CC(C)(O)c1cccc(Nc2ncccn2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9991934299468994, 0.9880746603012085]
+c1cnc(Nc2nc3ccccc3s2)nc1; ['Clc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'Clc1ncccn1']; ['Nc1ncccn1', 'Nc1ncccn1', 'Nc1nc2ccccc2s1']; [0.9997624158859253, 0.9996931552886963, 0.9980155825614929]
+C[C@@H2]NC(=O)N1CCC(Nc2ncccn2)CC1; [None, None, 'CCN=C=O', None, 'CCN', 'CCNC(=O)Oc1ccc([N+](=O)[O-])cc1', 'CCNC(=O)N1CCC(N)CC1', 'CCNC(=O)Oc1ccccc1', 'CCNC(=O)OCC', 'CCNC(=O)OC', 'CCNC=O', 'CCNC(=O)OC(C)(C)C']; [None, None, 'c1cnc(NC2CCNCC2)nc1', None, 'c1cnc(NC2CCNCC2)nc1', 'c1cnc(NC2CCNCC2)nc1', 'Clc1ncccn1', 'c1cnc(NC2CCNCC2)nc1', 'c1cnc(NC2CCNCC2)nc1', 'c1cnc(NC2CCNCC2)nc1', 'c1cnc(NC2CCNCC2)nc1', 'c1cnc(NC2CCNCC2)nc1']; [0, 0, 0.9997484683990479, 0, 0.9996781349182129, 0.9991199970245361, 0.9990590810775757, 0.9972183704376221, 0.9971777200698853, 0.9950313568115234, 0.9896218776702881, 0.9861370325088501]
 Cn1cc(C(N)=O)cc1Nc1ncccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2ncccn2)s1; [None]; [None]; [0]
+O=S(=O)(CNc1ncccn1)NCc1ccccn1; [None]; [None]; [0]
+CCCCc1cc(Nc2ncccn2)nc(N)n1; [None]; [None]; [0]
+Nc1cncc(Nc2ncccn2)n1; ['Nc1cncc(Cl)n1']; ['Nc1ncccn1']; [0.9962175488471985]
+c1cnc(Nc2cccc3ccsc23)nc1; ['Fc1cccc2ccsc12', 'Brc1cccc2ccsc12']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9901152849197388, 0.990070104598999]
+CC1(C)Oc2ccc(Nc3ncccn3)nc2NC1=O; ['CC1(C)Oc2ccc(N)nc2NC1=O', 'CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'Brc1ncccn1', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O']; ['Ic1ncccn1', 'Nc1ncccn1', 'Fc1ncccn1', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'Clc1ncccn1', 'CSc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.9939640760421753, 0.9929500818252563, 0.9929036498069763, 0.9921876788139343, 0.9854180812835693, 0.981016993522644, 0.9677400588989258, 0.8224178552627563]
+c1cnc(Nc2cccc3nnsc23)nc1; ['Clc1ncccn1', 'Brc1cccc2nnsc12']; ['Nc1cccc2nnsc12', 'Nc1ncccn1']; [0.9997304677963257, 0.9968225955963135]
+Nc1nc(Nc2ncccn2)nc2ccccc12; ['Clc1ncccn1', 'Nc1nc(Cl)nc2ccccc12', 'Brc1ncccn1']; ['Nc1nc(N)c2ccccc2n1', 'Nc1ncccn1', 'Nc1nc(N)c2ccccc2n1']; [0.9883410930633545, 0.9827256798744202, 0.9823855757713318]
+c1cnc(Nc2ncc3ccccc3n2)nc1; ['Fc1ncccn1', 'Clc1ncccn1', 'Brc1ncccn1', 'Brc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1']; ['Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.9995556473731995, 0.9993768334388733, 0.9991142749786377, 0.9990119934082031, 0.9977551698684692, 0.9973183870315552, 0.9863635301589966, 0.9813281297683716, 0.9211736917495728]
 [NH3+]Cc1ccc(ONc2ncccn2)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(Nc3ncccn3)nc2NC1=O; [None]; [None]; [0]
+c1cnc(Nc2c[nH]c3cccnc23)nc1; ['Ic1c[nH]c2cccnc12', 'Fc1ncccn1', 'Brc1c[nH]c2cccnc12', 'Clc1c[nH]c2cccnc12', 'Clc1ncccn1', 'Brc1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1']; ['Nc1ncccn1', 'Nc1c[nH]c2cccnc12', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12']; [0.9968488216400146, 0.9849661588668823, 0.9834364652633667, 0.9831700325012207, 0.9810316562652588, 0.9758321642875671, 0.9593905806541443, 0.89995276927948]
+CC(=O)Nc1ncc(Nc2ncccn2)[nH]1; [None]; [None]; [0]
+c1cnc(Nc2ncc3cc[nH]c3n2)nc1; ['Brc1ncccn1', 'Clc1ncccn1', 'Clc1ncc2cc[nH]c2n1', 'CS(=O)c1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1']; ['Nc1ncc2cc[nH]c2n1', 'Nc1ncc2cc[nH]c2n1', 'Nc1ncccn1', 'Nc1ncc2cc[nH]c2n1', 'Nc1ncc2cc[nH]c2n1', 'Nc1ncc2cc[nH]c2n1', 'Nc1ncc2cc[nH]c2n1']; [0.9998611211776733, 0.9998444318771362, 0.9993292093276978, 0.9988270998001099, 0.9978090524673462, 0.9973105192184448, 0.9957702159881592]
 CNC(=O)c1ccc(NC(=O)c2cccc(Nc3ncccn3)c2)cc1; [None]; [None]; [0]
-c1cnc(Nc2cccc3nnsc23)nc1; [None]; [None]; [0]
-COc1ccc(ONc2ncccn2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(Nc2ncccn2)n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1Nc1ncccn1; ['Brc1ncccn1', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1F', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N']; ['COc1ccc(C#N)cc1N', 'Clc1ncccn1', 'Fc1ncccn1', 'Nc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.9999793767929077, 0.9999136328697205, 0.999811589717865, 0.9993691444396973, 0.9992797374725342, 0.9992644190788269, 0.9991520047187805, 0.999035120010376, 0.998346209526062, 0.9983125925064087, 0.9875423908233643]
+C[C@@]1(O)CC[C@H](Nc2ncccn2)CC1; ['Brc1ncccn1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1']; ['C[C@]1(O)CC[C@@H](N)CC1', 'Clc1ncccn1', 'Fc1ncccn1', 'Ic1ncccn1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1']; [0.9998502731323242, 0.9990634322166443, 0.9988850355148315, 0.9987701773643494, 0.9960881471633911, 0.9914151430130005, 0.9905598759651184]
+OCCn1cnc(Nc2ncccn2)c1; [None]; [None]; [0]
+COc1ncccc1Nc1ncccn1; ['Brc1ncccn1', 'COc1ncccc1N', 'COc1ncccc1Br', 'COc1ncccc1N', 'COc1ncccc1I', 'COc1ncccc1Cl', 'COc1ncccc1N', 'COc1ncccc1B(O)O', 'COc1ncccc1N', 'COc1ncccc1N', 'COc1ncccc1F', 'COc1ncccc1N']; ['COc1ncccc1N', 'Clc1ncccn1', 'Nc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Fc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1']; [0.9993231296539307, 0.9989448189735413, 0.9976167678833008, 0.9975996613502502, 0.9966131448745728, 0.9962778091430664, 0.9953995943069458, 0.9937430620193481, 0.9925308227539062, 0.9819822907447815, 0.9724639654159546, 0.9336603879928589]
+COc1ccc(OC)c(Nc2ncccn2)c1; ['COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1', 'Brc1ncccn1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(N)c1']; ['Clc1ncccn1', 'Fc1ncccn1', 'COc1ccc(OC)c(N)c1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9998217225074768, 0.9996286630630493, 0.9994192719459534, 0.9993724226951599, 0.9987123608589172, 0.9981580376625061, 0.9975352883338928, 0.9968826770782471, 0.9968779683113098, 0.9776335954666138]
+CN(C)c1cc(Nc2ncccn2)cnn1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(Nc2ncccn2)c1; ['Brc1ncccn1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1']; ['CN(C)S(=O)(=O)c1cccc(N)c1', 'Clc1ncccn1', 'Fc1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.9998036026954651, 0.9985195994377136, 0.9980555772781372, 0.9968565106391907, 0.9947772026062012, 0.9941647052764893, 0.993330717086792, 0.9918241500854492, 0.9714522361755371]
+CCOc1ccc(Nc2ncccn2)cc1; ['CCOc1ccc(N)cc1', 'Brc1ncccn1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(Cl)cc1', 'CCOc1ccc(I)cc1']; ['Clc1ncccn1', 'CCOc1ccc(N)cc1', 'CSc1ncccn1', 'Nc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9985442161560059, 0.9971696734428406, 0.9963417053222656, 0.9954162240028381, 0.9895788431167603, 0.9856427311897278, 0.9806914329528809, 0.9795490503311157, 0.9647308588027954, 0.9083175659179688]
+CC(=O)N(C)c1ccc(Nc2ncccn2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'Brc1ncccn1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(O)cc1']; ['Nc1ncccn1', 'Clc1ncccn1', 'Fc1ncccn1', 'CC(=O)N(C)c1ccc(N)cc1', 'CSc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9999234676361084, 0.9985419511795044, 0.9967910647392273, 0.9940235614776611, 0.9925469160079956, 0.9902677536010742, 0.9856581091880798, 0.9801263809204102, 0.9299397468566895, 0.9246606826782227, 0.8008891940116882]
+CS(=O)(=O)c1cccc(Nc2ncccn2)c1; ['CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(F)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(N)c1']; ['Clc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.999554455280304, 0.9983533620834351, 0.9968520402908325, 0.9870403409004211, 0.9834259748458862, 0.9649222493171692]
 O=C(Nc1cccc(Nc2ncccn2)c1)C1CCNCC1; [None]; [None]; [0]
+COc1ccc(ONc2ncccn2)c(F)c1F; [None]; [None]; [0]
+COc1cc(Nc2ncccn2)cc(OC)c1OC; ['Brc1ncccn1', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['COc1cc(N)cc(OC)c1OC', 'Fc1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9996948838233948, 0.9983758926391602, 0.997847318649292, 0.9978452920913696, 0.9971580505371094, 0.9948567152023315, 0.9944329261779785, 0.994074285030365, 0.9875442385673523, 0.9795904755592346]
+c1cnc(NN2CCC(c3nc4ccccc4[nH]3)CC2)nc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1Nc1ncccn1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(Nc2ncccn2)C1; [None]; [None]; [0]
+O=C([O-])c1ccc(Nc2ncccn2)cc1; ['Clc1ncccn1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.9023450613021851]
+O=C(Nc1cccc(Nc2ncccn2)c1)C1CC1; ['Clc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1']; ['Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.9998313188552856, 0.997788667678833, 0.9870325326919556]
+COc1ccc(Nc2ncccn2)cc1; ['COc1ccc(N)cc1', 'Brc1ncccn1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(F)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(I)cc1', 'COc1ccc(N)cc1']; ['Clc1ncccn1', 'COc1ccc(N)cc1', 'Fc1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9990895986557007, 0.9987640380859375, 0.9987356662750244, 0.9951974153518677, 0.9946274757385254, 0.9916876554489136, 0.9873035550117493, 0.977523684501648, 0.9688970446586609, 0.9548417329788208, 0.9541966915130615, 0.8991984128952026, 0.7978538274765015]
+c1cnc(Nc2nc3ccccc3[nH]2)nc1; ['Brc1ncccn1', 'Fc1ncccn1', 'Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'CSc1ncccn1', 'CSc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1nc2ccccc2[nH]1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9995757341384888, 0.9995023012161255, 0.998497486114502, 0.9984149932861328, 0.9975571632385254, 0.9971182346343994, 0.9967184066772461, 0.9912780523300171, 0.983610987663269, 0.9720316529273987]
+c1cnc(Nc2nccc3ccccc23)nc1; ['Ic1ncccn1', 'Brc1ncccn1', 'Brc1nccc2ccccc12', 'Clc1ncccn1', 'Clc1nccc2ccccc12', 'CSc1ncccn1']; ['Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Nc1ncccn1', 'Nc1nccc2ccccc12', 'Nc1ncccn1', 'Nc1nccc2ccccc12']; [0.9996817111968994, 0.999638557434082, 0.9995507001876831, 0.998908281326294, 0.9987517595291138, 0.9860154390335083]
+N#Cc1ccc(O)c(Nc2ncccn2)c1; ['Clc1ncccn1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(F)c1', 'N#Cc1ccc(O)c(O)c1']; ['N#Cc1ccc(O)c(N)c1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9996616840362549, 0.9919194579124451, 0.9883570075035095, 0.9769513010978699, 0.9621100425720215, 0.9291043281555176, 0.917059600353241, 0.8012349605560303]
+NC(=O)c1ccc(Nc2ncccn2)cc1; ['Clc1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ncccn1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(F)cc1']; ['NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'Nc1ncccn1', 'Nc1ncccn1', 'NC(=O)c1ccc(N)cc1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.999569296836853, 0.9990174174308777, 0.9973048567771912, 0.9916869401931763, 0.9900379180908203, 0.9872547388076782, 0.966361403465271, 0.8791098594665527]
+O=C(Nc1ccccc1)c1ccc(Nc2ncccn2)cc1; ['Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1']; [0.9992033243179321, 0.9791724681854248, 0.7967357039451599]
+Cc1ccc2ncn(Nc3ncccn3)c2c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(Nc2ncccn2)cc1; ['CC(=O)NCc1ccc(N)cc1', 'Brc1ncccn1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCO']; ['Clc1ncccn1', 'CC(=O)NCc1ccc(N)cc1', 'CS(=O)(=O)c1ncccn1', 'c1ccc(Nc2ncccn2)cc1']; [0.9996787309646606, 0.9995400905609131, 0.9967814087867737, 0.8072373270988464]
+O=C(c1ccc(Nc2ncccn2)nc1)N1CCOCC1; ['Nc1ncccn1', 'Clc1ncccn1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cn1']; [0.9999733567237854, 0.9998759627342224]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3ncccn3)cc2)CC1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(Nc3ncccn3)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(Nc2ncccn2)nc(N)n1; [None]; [None]; [0]
+O=C(c1ccc(Nc2ncccn2)cc1)N1CCOCC1; ['Clc1ncccn1', 'Ic1ncccn1', 'Brc1ncccn1', 'Fc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1']; [0.999933660030365, 0.9999121427536011, 0.999904990196228, 0.9998233318328857, 0.9998034238815308, 0.9997344613075256, 0.9993683099746704, 0.9987070560455322, 0.9977079629898071, 0.9786478281021118]
+OCCOc1ccc(Nc2ncccn2)cc1; ['Ic1ncccn1', 'Clc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; ['Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'OCCOc1ccc(Br)cc1', 'Nc1ccc(OCCO)cc1', 'OCCOc1ccc(Cl)cc1']; [0.9975362420082092, 0.9972553253173828, 0.9941630363464355, 0.9834574460983276, 0.9809139966964722, 0.8828545808792114]
+c1cnc(Nc2cccc(C3CCNCC3)c2)nc1; ['CC(C)(C)OC(=O)N1CCC(c2cccc(N)c2)CC1', 'Clc1ncccn1', 'Fc1ncccn1', 'CSc1ncccn1', 'Brc1cccc(C2CCNCC2)c1', 'CS(=O)(=O)c1ncccn1']; ['Clc1ncccn1', 'Nc1cccc(C2CCNCC2)c1', 'Nc1cccc(C2CCNCC2)c1', 'Nc1cccc(C2CCNCC2)c1', 'Nc1ncccn1', 'Nc1cccc(C2CCNCC2)c1']; [0.9999997615814209, 0.9999053478240967, 0.9996752738952637, 0.9989532232284546, 0.9967397451400757, 0.9924666881561279]
+c1cnc(NNc2ncccn2)nc1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(Nc3ncccn3)cc2C1; ['Ic1ncccn1', 'Clc1ncccn1', 'Fc1ncccn1', 'Brc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'Nc1ccc2c(c1)CS(=O)(=O)C2']; ['Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ncccn1']; [0.9994282126426697, 0.9993283748626709, 0.9990222454071045, 0.9986980557441711, 0.9923284649848938, 0.9888505935668945, 0.9631710052490234, 0.9586474895477295, 0.9292638301849365]
+FC(F)(F)c1ccc(Nc2ncccn2)cc1; ['Brc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Fc1ncccn1', 'CSc1ncccn1', 'CS(=O)c1ncccn1', 'FC(F)(F)c1ccc(Br)cc1', 'CS(=O)(=O)c1ncccn1', 'FC(F)(F)c1ccc(I)cc1', 'Fc1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Cl)cc1']; ['Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ncccn1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9995733499526978, 0.9983328580856323, 0.9983310699462891, 0.9979301691055298, 0.9977718591690063, 0.9949190616607666, 0.9930224418640137, 0.9898242950439453, 0.9891179203987122, 0.984386682510376, 0.8801244497299194, 0.8796131014823914]
+N#Cc1cccc(Cn2cc(Nc3ncccn3)cn2)c1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(Nc2ncccn2)CC1; ['Brc1ncccn1', None, 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)Cl', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CC(C)(C)OC(=O)N1CCC(Nc2ncccn2)CC1', 'CS(=O)(=O)N1CCC(=O)CC1', 'COc1ncccn1']; ['CS(=O)(=O)N1CCC(N)CC1', None, 'Clc1ncccn1', 'c1cnc(NC2CCNCC2)nc1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)(=O)Cl', 'Nc1ncccn1', 'CS(=O)(=O)N1CCC(N)CC1']; [0.9996880292892456, 0, 0.9992403388023376, 0.9991360306739807, 0.9978830814361572, 0.9935833215713501, 0.9915378093719482, 0.9855140447616577, 0.8641607761383057]
+CN(C)c1ccc(Nc2ncccn2)cc1; ['CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'Brc1ncccn1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(F)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(I)cc1']; ['Clc1ncccn1', 'Fc1ncccn1', 'CN(C)c1ccc(N)cc1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9993094801902771, 0.9992661476135254, 0.9977637529373169, 0.9954746961593628, 0.99382084608078, 0.9933826327323914, 0.9916337728500366, 0.9737133979797363, 0.9548023343086243, 0.9315251111984253, 0.8809890747070312, 0.8498508930206299, 0.7711745500564575]
+CN(C)S(=O)(=O)c1ccc(Nc2ncccn2)cc1; ['Brc1ncccn1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(F)cc1']; ['CN(C)S(=O)(=O)c1ccc(N)cc1', 'Clc1ncccn1', 'Fc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.9991350173950195, 0.9989862442016602, 0.9981147646903992, 0.9925738573074341, 0.9912061095237732, 0.9907805919647217, 0.9897231459617615, 0.9885047674179077, 0.9790253043174744, 0.9683449268341064, 0.9580238461494446]
+CC(C)c1cc(Nc2ncccn2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Nc1ncccn1']; [0.9995452165603638]
+Oc1ccccc1CNc1ncccn1; ['Brc1ncccn1', 'Fc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1']; ['NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'OCc1ccccc1O', 'O=Cc1ccccc1O', 'NCc1ccccc1O']; [0.9968594908714294, 0.9960662126541138, 0.9956177473068237, 0.9884366989135742, 0.985612154006958, 0.9683780670166016, 0.9556001424789429, 0.9174980521202087]
+CCNS(=O)(=O)c1ccc(Nc2ncccn2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCN', 'CCNS(=O)(=O)c1ccc(F)cc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1']; ['Clc1ncccn1', 'Nc1ncccn1', 'c1ccc(Nc2ncccn2)cc1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.995510995388031, 0.9773509502410889, 0.8988107442855835, 0.894897997379303, 0.8112823367118835, 0.7777748107910156]
+CCCOc1ccc(Nc2ncccn2)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1ncccn1']; [0.9990631341934204]
+O=C(c1ccccc1)N1CC[C@H](Nc2ncccn2)C1; [None]; [None]; [0]
+Brc1ccc(Nc2ncccn2)cc1; ['Clc1ncccn1', 'Fc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Brc1ncccn1', 'Brc1ccc(I)cc1', 'CSc1ncccn1', 'Fc1ccc(Br)cc1', 'Nc1ncccn1', 'Nc1ccc(Br)cc1', 'Clc1ccc(Br)cc1', 'Brc1ccc(Br)cc1', None]; ['Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ncccn1', 'Nc1ccc(Br)cc1', 'Nc1ncccn1', 'OB(O)c1ccc(Br)cc1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', None]; [0.9994709491729736, 0.9993188381195068, 0.9982643127441406, 0.9967488646507263, 0.9890611171722412, 0.9889267683029175, 0.988631010055542, 0.9839546084403992, 0.9629734754562378, 0.9593378305435181, 0.9579818248748779, 0.8890494108200073, 0.8856548070907593, 0]
+Nc1ncc(CNc2ncccn2)cn1; [None]; [None]; [0]
+COc1ccc(CNc2ncccn2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'Brc1ncccn1', 'COc1ccc(CCl)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(CN)cc1']; ['Fc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'COc1ccc(CN)cc1', 'Nc1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'O=c1nccc[nH]1']; [0.99466472864151, 0.9939944744110107, 0.9939887523651123, 0.9934796094894409, 0.9933533668518066, 0.9929454326629639, 0.9922385215759277, 0.9911600351333618, 0.987479567527771, 0.9658107757568359, 0.931277871131897, 0.8260922431945801]
+c1cnc(Nc2ccn3nccc3n2)nc1; ['Clc1ncccn1', 'Fc1ncccn1', 'Brc1ccn2nccc2n1', 'Clc1ccn2nccc2n1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999099969863892, 0.999807596206665, 0.9997592568397522, 0.9995663166046143, 0.9982972145080566, 0.9973083734512329]
+CCN(CC)C(=O)c1ccc(Nc2ncccn2)cc1; ['CCN(CC)C(=O)c1ccc(N)cc1', 'Brc1ncccn1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Clc1ncccn1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'Fc1ncccn1', 'Nc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.998296320438385, 0.9981206655502319, 0.9970184564590454, 0.9968286156654358, 0.9964199066162109, 0.9954725503921509, 0.9953581690788269, 0.9944783449172974, 0.9918360114097595, 0.9857239723205566]
+CN(C)c1ccc(Nc2ncccn2)cc1Cl; ['Brc1ncccn1', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(F)cc1Cl', 'CN(C)c1ccc(N)cc1Cl']; ['CN(C)c1ccc(N)cc1Cl', 'CSc1ncccn1', 'Ic1ncccn1', 'Fc1ncccn1', 'Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9990826845169067, 0.9977959394454956, 0.9967952966690063, 0.9965046644210815, 0.9911398887634277, 0.9856916666030884, 0.9806481599807739, 0.9768872261047363, 0.8867413401603699, 0.847241997718811]
 CC(=O)N1CCCN(c2cccc(Nc3ncccn3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2ncccn2)nc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2ncccn2)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1ncccn1']; [0.9993776082992554]
+c1cnc(Nc2ccc3c(c2)CCO3)nc1; ['Fc1ncccn1', 'Brc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2']; ['Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9995627999305725, 0.9994876384735107, 0.9990372657775879, 0.9980001449584961, 0.9967753887176514, 0.9936107397079468, 0.9893184900283813, 0.9572963714599609, 0.906802773475647]
+Cc1c(Nc2ncccn2)cccc1C(=O)[O-]; [None]; [None]; [0]
+COc1ccc(Cl)cc1Nc1ncccn1; ['Brc1ncccn1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1O', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N']; ['COc1ccc(Cl)cc1N', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1']; [0.9996617436408997, 0.9995909929275513, 0.9990140795707703, 0.9981664419174194, 0.9968312382698059, 0.9958021640777588, 0.9951580166816711, 0.9948818683624268, 0.9900982975959778, 0.9897371530532837, 0.9710730314254761]
+COc1cc(OC)c(Nc2ncccn2)cc1Cl; ['Brc1ncccn1', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Cl)cc1N']; ['COc1cc(OC)c(Cl)cc1N', 'Fc1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.99363112449646, 0.9884105324745178, 0.9850404262542725, 0.9818500280380249, 0.9798839092254639, 0.9043316841125488, 0.8427553176879883]
+COc1cc(C(=O)N2CCOCC2)ccc1Nc1ncccn1; ['COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N']; ['Ic1ncccn1', 'Clc1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.9996417760848999, 0.9994602799415588, 0.9986028671264648]
+c1ccc(-c2cc(Nc3ncccn3)n[nH]2)cc1; ['Clc1ncccn1', 'Ic1ncccn1']; ['Nc1cc(-c2ccccc2)[nH]n1', 'Nc1cc(-c2ccccc2)[nH]n1']; [0.9382731914520264, 0.7742952108383179]
+c1cnc(Nc2c[nH]c3ccccc23)nc1; ['Clc1ncccn1', 'CS(=O)c1ncccn1', 'Fc1ncccn1', 'Brc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'Brc1ncccn1', 'Ic1c[nH]c2ccccc12', 'Nc1ncccn1', 'Ic1ncccn1']; ['Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1c[nH]c2ccccc12', 'Nc1ncccn1', 'OB(O)c1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12']; [0.9823970794677734, 0.9683035612106323, 0.9621767997741699, 0.9388134479522705, 0.9154003858566284, 0.9133667945861816, 0.9023879766464233, 0.8639243841171265, 0.8197534084320068]
+c1cnc(Nc2ccccc2-n2cccn2)nc1; ['Brc1ccccc1-n1cccn1', 'Fc1ncccn1', 'Fc1ccccc1-n1cccn1', 'Brc1ncccn1', 'Clc1ncccn1', 'Clc1ccccc1-n1cccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ccccc1-n1cccn1', 'CSc1ncccn1']; ['Nc1ncccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ncccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ncccn1', 'OB(O)c1ccccc1-n1cccn1', 'Oc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ncccn1', 'Nc1ccccc1-n1cccn1']; [0.9997719526290894, 0.9994853734970093, 0.9994218945503235, 0.9993855953216553, 0.9991792440414429, 0.9991588592529297, 0.9987893104553223, 0.9959272146224976, 0.9954990148544312, 0.990900993347168, 0.9864501357078552, 0.9541083574295044]
+COc1cc(Nc2ncccn2)ccc1O; ['Brc1ncccn1', 'COc1cc(B(O)O)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(F)ccc1O', 'COc1cc(N)ccc1O']; ['COc1cc(N)ccc1O', 'Nc1ncccn1', 'Fc1ncccn1', 'CSc1ncccn1', 'CS(=O)c1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9994215965270996, 0.9981399774551392, 0.9969637393951416, 0.9964148998260498, 0.9963500499725342, 0.9954031705856323, 0.9711634516716003, 0.9669711589813232, 0.8979090452194214, 0.8268744945526123, 0.7550082802772522]
+c1cnc(Nc2cccc3c2OCO3)nc1; ['Ic1ncccn1', 'Brc1ncccn1', 'Clc1ncccn1', 'Fc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Brc1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'Nc1cccc2c1OCO2']; ['Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1ncccn1']; [0.9989930987358093, 0.9981762766838074, 0.9978262186050415, 0.9969537854194641, 0.9939124584197998, 0.9926121830940247, 0.9839416146278381, 0.9660550355911255, 0.9523084759712219, 0.9308399558067322]
+Fc1ccc2nc(CNc3ncccn3)[nH]c2c1F; ['Nc1ccc(F)c(F)c1N']; ['O=C(O)CNc1ncccn1']; [0.9994624853134155]
+Fc1ccc2[nH]c(CNc3ncccn3)nc2c1F; ['Nc1ccc(F)c(F)c1N']; ['O=C(O)CNc1ncccn1']; [0.999260663986206]
+CC(C)(C)c1ccc(Nc2ncccn2)cn1; ['Brc1ncccn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(N)cn1']; ['CC(C)(C)c1ccc(N)cn1', 'Clc1ncccn1', 'Fc1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1']; [0.9986106157302856, 0.9982509613037109, 0.9973807334899902, 0.9959508180618286, 0.9935988187789917, 0.9922387599945068, 0.9893996715545654, 0.9863721132278442, 0.9478681087493896]
+c1cnc(NCc2nc3ccccc3[nH]2)nc1; ['Nc1ccccc1N', 'CS(=O)(=O)c1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'ClCc1nc2ccccc2[nH]1', 'Brc1ncccn1', 'Nc1ncccn1', 'BrCc1nc2ccccc2[nH]1', 'Ic1ncccn1', 'CSc1ncccn1']; ['O=C(O)CNc1ncccn1', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'OCc1nc2ccccc2[nH]1', 'Nc1ncccn1', 'NCc1nc2ccccc2[nH]1', 'O=Cc1nc2ccccc2[nH]1', 'Nc1ncccn1', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1']; [0.999710202217102, 0.9948990941047668, 0.9947116374969482, 0.9856826066970825, 0.9782198667526245, 0.9724866151809692, 0.9685784578323364, 0.9457818269729614, 0.94512939453125, 0.9166470766067505]
+CN(C)C(=O)c1ccc(Nc2ncccn2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'Brc1ncccn1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1']; ['Clc1ncccn1', 'CN(C)C(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9992718696594238, 0.9972698092460632, 0.9963706731796265, 0.9928051233291626, 0.9891857504844666, 0.9843680262565613, 0.9742604494094849, 0.9508450031280518, 0.8769679665565491]
+c1cnc(Nc2cnc3ccccc3c2)nc1; ['Fc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'Brc1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'Clc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Fc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9997057914733887, 0.9996229410171509, 0.9987865686416626, 0.9987025260925293, 0.9965261220932007, 0.9944465756416321, 0.9919511675834656, 0.9898761510848999, 0.9898349642753601, 0.9633529186248779, 0.9557998180389404, 0.941756010055542]
+COc1cccc(C(=O)NNc2ncccn2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COC(=O)c1cccc(OC)c1', 'CCOC(=O)c1cccc(OC)c1']; ['NNc1ncccn1', 'NNc1ncccn1', 'NNc1ncccn1', 'NNc1ncccn1']; [0.9999890923500061, 0.9998819231987, 0.9946639537811279, 0.9870578050613403]
+Cc1ccc(Nc2ncccn2)c(=O)[nH]1; ['Cc1ccc(I)c(=O)[nH]1', 'Cc1ccc(N)c(=O)[nH]1', 'CS(=O)c1ncccn1', 'Cc1ccc(N)c(=O)[nH]1', 'Brc1ncccn1']; ['Nc1ncccn1', 'Clc1ncccn1', 'Cc1ccc(N)c(=O)[nH]1', 'Fc1ncccn1', 'Cc1ccc(N)c(=O)[nH]1']; [0.9148823022842407, 0.8994625806808472, 0.8916192054748535, 0.8904691934585571, 0.871333122253418]
+c1ccc(CCCNc2ncccn2)cc1; ['Clc1ncccn1', 'Fc1ncccn1', 'Brc1ncccn1', 'ClCCCc1ccccc1', 'BrCCCc1ccccc1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'NCCCc1ccccc1', 'Nc1ncccn1', 'Nc1ncccn1']; ['NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'Nc1ncccn1', 'Nc1ncccn1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'O=c1nccc[nH]1', 'OCCCc1ccccc1', 'O=CCCc1ccccc1']; [0.9998106956481934, 0.999761700630188, 0.9995130300521851, 0.9979556798934937, 0.997157096862793, 0.9962540864944458, 0.99611496925354, 0.9953547120094299, 0.9951902627944946, 0.9899191856384277, 0.9839363098144531, 0.9820610284805298]
+c1cnc(Nc2cc3ccccc3s2)nc1; ['CS(=O)c1ncccn1', 'Fc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Clc1ncccn1']; ['Nc1cc2ccccc2s1', 'Nc1cc2ccccc2s1', 'Nc1cc2ccccc2s1', 'Nc1cc2ccccc2s1']; [0.9756922721862793, 0.9670681357383728, 0.9536606073379517, 0.9114680290222168]
+CSc1ccc(Nc2ncccn2)cc1; ['CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'Brc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ccc(N)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(N)cc1']; ['Fc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'CSc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9993212223052979, 0.9986550807952881, 0.9983360767364502, 0.9970358610153198, 0.9900125861167908, 0.9848968386650085, 0.9811941385269165, 0.9525635242462158, 0.8351386785507202, 0.8270554542541504, 0.8169811964035034]
+Cc1cc(Nc2ncccn2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1', 'Brc1ncccn1', 'Cc1cc(N)nc(N)n1', 'CSc1ncccn1', 'Cc1cc(N)nc(N)n1']; ['Nc1ncccn1', 'Cc1cc(N)nc(N)n1', 'Clc1ncccn1', 'Cc1cc(N)nc(N)n1', 'Fc1ncccn1']; [0.9994680881500244, 0.9697937965393066, 0.9594610929489136, 0.875357985496521, 0.8130974769592285]
+CC[C@@H](CO)Nc1ncccn1; ['CC[C@H](N)CO', 'Brc1ncccn1', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO']; ['Clc1ncccn1', 'CC[C@H](N)CO', 'Fc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.9968657493591309, 0.9952396154403687, 0.9910858273506165, 0.9796868562698364, 0.9444886445999146]
+OC[C@H](Cc1ccccc1)Nc1ncccn1; ['Brc1ncccn1', 'Ic1ncccn1', 'Clc1ncccn1', 'Fc1ncccn1', 'CS(=O)(=O)c1ncccn1']; ['N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1']; [0.9988168478012085, 0.9963381886482239, 0.9961658716201782, 0.9929323196411133, 0.9820420145988464]
+CCN1CCN(Cc2ccc(Nc3ncccn3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1']; ['CSc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Fc1ncccn1']; [0.9926856756210327, 0.9909836053848267, 0.9872816801071167, 0.9857240915298462, 0.9420205354690552, 0.908826470375061]
 CC(C)c1ccc2nc(Nc3ncccn3)[nH]c2c1; [None]; [None]; [0]
-Nc1cc(Nc2ncccn2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Nc1ncccn1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1Nc1ncccn1; [None]; [None]; [0]
+Fc1ccc(Nc2ncccn2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1', 'Nc1ncccn1', 'Clc1ncccn1', 'Fc1ccc(I)c(Cl)c1', 'Nc1ccc(F)cc1Cl', 'Nc1ncccn1', 'Fc1ccc(F)c(Cl)c1', 'Fc1ccc(Cl)c(Cl)c1']; ['Nc1ncccn1', 'OB(O)c1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Nc1ncccn1', 'Nc1ncccn1', 'Oc1ccc(F)cc1Cl', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9995640516281128, 0.9974188208580017, 0.9959772825241089, 0.9928553104400635, 0.975031316280365, 0.9594548940658569, 0.9356708526611328, 0.8545566201210022]
+Brc1cnc(Nc2ncccn2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Clc1ncccn1', 'Brc1ncccn1', 'Fc1ncc(Br)cn1', 'Ic1ncccn1', 'Brc1cnc(Br)nc1', 'Fc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncccn1', 'Nc1ncc(Br)cn1', 'Nc1ncccn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncccn1', 'Nc1ncc(Br)cn1', 'Nc1ncccn1']; [0.9976135492324829, 0.9966468811035156, 0.9963881373405457, 0.9862003922462463, 0.9819151163101196, 0.9807097911834717, 0.9796841144561768, 0.9766137599945068, 0.9144439697265625, 0.8789104223251343, 0.8647468090057373, 0.8399035930633545]
+c1cnc(Nc2scc3c2OCCO3)nc1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(Nc3ncccn3)n2)c1; [None]; [None]; [0]
+CCc1ccc(Nc2ncccn2)cc1; ['CCc1ccc(N)cc1', 'Brc1ncccn1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(Cl)cc1']; ['Clc1ncccn1', 'CCc1ccc(N)cc1', 'Fc1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9991446137428284, 0.998226523399353, 0.995269775390625, 0.9945781230926514, 0.9822818040847778, 0.9782159328460693, 0.9684604406356812, 0.9471893310546875, 0.943759560585022, 0.9108901023864746, 0.8273987770080566, 0.7506709694862366]
+c1cnc(NCCCn2cncn2)nc1; ['Fc1ncccn1', 'Clc1ncccn1', 'Brc1ncccn1', 'Nc1ncccn1', 'NCCCn1cncn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1']; ['NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1', 'OCCCn1cncn1', 'Nc1ncccn1', 'NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1']; [0.998918890953064, 0.9984561800956726, 0.9975297451019287, 0.9958442449569702, 0.9932699203491211, 0.993051290512085, 0.9913263916969299, 0.9903430938720703, 0.9808942079544067]
+COc1ccc(Nc2ncccn2)cc1OC; ['Brc1ncccn1', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(F)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Cl)cc1OC']; ['COc1ccc(N)cc1OC', 'CSc1ncccn1', 'Fc1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9998674988746643, 0.9997200965881348, 0.9995512962341309, 0.999363124370575, 0.9978328943252563, 0.9974478483200073, 0.9969951510429382, 0.9958529472351074, 0.9956827759742737, 0.9700646996498108, 0.9649066925048828, 0.9419126510620117]
+COc1cc(Nc2ncccn2)ccc1N1CCOCC1; ['Brc1ncccn1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1']; ['COc1cc(N)ccc1N1CCOCC1', 'CSc1ncccn1', 'Nc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1']; [0.9999935030937195, 0.9999903440475464, 0.9999459981918335, 0.9999386072158813, 0.9999202489852905, 0.9998999834060669, 0.9992455244064331, 0.9989893436431885]
+Clc1ccc(Nc2ncccn2)c(Cl)c1; ['Clc1ccc(Br)c(Cl)c1', 'Nc1ncccn1', 'Ic1ncccn1', 'Fc1ccc(Cl)cc1Cl', 'Clc1ncccn1', 'Clc1ccc(I)c(Cl)c1', 'Nc1ccc(Cl)cc1Cl', 'Clc1cccc(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1', 'Nc1ncccn1']; ['Nc1ncccn1', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'Nc1ncccn1', 'Nc1ccc(Cl)cc1Cl', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Oc1ccc(Cl)cc1Cl']; [0.9993898868560791, 0.9989137649536133, 0.9969139099121094, 0.996670663356781, 0.9966118931770325, 0.9958534836769104, 0.9838500022888184, 0.9761797189712524, 0.9630889296531677, 0.8920218348503113]
+c1cnc(Nc2ncc3cccn3n2)nc1; ['Clc1ncc2cccn2n1']; ['Nc1ncccn1']; [0.9975333213806152]
+c1cnc(Nc2cc3ccccn3n2)nc1; ['Clc1ncccn1', 'Brc1cc2ccccn2n1', 'Clc1cc2ccccn2n1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1']; ['Nc1cc2ccccn2n1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1']; [0.9991556406021118, 0.9991085529327393, 0.9989819526672363, 0.9982060194015503, 0.997111439704895, 0.9962124824523926]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
+Cn1cc(Nc2ncccn2)c(C(F)(F)F)n1; ['Brc1ncccn1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'CS(=O)c1ncccn1', 'CSc1ncccn1']; ['Cn1cc(N)c(C(F)(F)F)n1', 'Nc1ncccn1', 'Ic1ncccn1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Nc1ncccn1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1']; [0.9986774921417236, 0.997517466545105, 0.993958592414856, 0.9931433200836182, 0.9925352334976196, 0.9871976375579834, 0.9868485927581787, 0.9711875915527344]
+O=C1CCc2cc(Nc3ncccn3)ccc2N1; ['Brc1ncccn1', 'CSc1ncccn1', 'Fc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ncccn1']; ['Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(O)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(F)ccc2N1', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ncccn1', 'O=C1CCc2cc(I)ccc2N1']; [0.9996128082275391, 0.999276876449585, 0.9991632699966431, 0.9987035989761353, 0.9981586933135986, 0.9977020621299744, 0.9930700063705444, 0.9860802888870239, 0.9844185709953308, 0.9744631052017212, 0.9639721512794495, 0.958655595779419]
+Cc1csc2c(Nc3ncccn3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1ncccn1']; [0.9969445466995239]
+COc1ccc2cccc(Nc3ncccn3)c2c1; ['COc1ccc2cccc(N)c2c1', 'Brc1ncccn1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(N)c2c1']; ['Fc1ncccn1', 'COc1ccc2cccc(N)c2c1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9996154308319092, 0.9995802640914917, 0.9995685815811157, 0.9994478225708008, 0.9991409778594971, 0.9871069192886353, 0.9776411056518555, 0.9748498201370239]
+Oc1ccc2cccc(Nc3ncccn3)c2c1; ['Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; ['Nc1cccc2ccc(O)cc12', 'Oc1ccc2cccc(I)c2c1', 'Oc1ccc2cccc(F)c2c1', 'Oc1ccc2cccc(Br)c2c1', 'Oc1ccc2cccc(Cl)c2c1']; [0.9870373010635376, 0.9855536222457886, 0.9741699695587158, 0.9714545607566833, 0.9529260993003845]
+Clc1cnc(Nc2ncccn2)nc1; ['Clc1cnc(I)nc1', 'Brc1ncccn1', 'Clc1cnc(Br)nc1', 'Fc1ncccn1', 'Ic1ncccn1', 'Clc1cnc(Cl)nc1', 'Clc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncc(Cl)cn1', 'CS(=O)c1ncc(Cl)cn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncc(Cl)cn1', 'CS(=O)(=O)c1ncc(Cl)cn1']; ['Nc1ncccn1', 'Nc1ncc(Cl)cn1', 'Nc1ncccn1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1', 'Nc1ncccn1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncc(Cl)cn1', 'Nc1ncccn1', 'O=CNc1ncccn1']; [0.9905904531478882, 0.9851326942443848, 0.9846292734146118, 0.9798616170883179, 0.9573919773101807, 0.9436778426170349, 0.9311739206314087, 0.9218277931213379, 0.9057600498199463, 0.9016333818435669, 0.8835732936859131, 0.8089653253555298, 0.7639428973197937]
+CNC(=O)c1ccc(Nc2ncccn2)cc1; ['CNC(=O)c1ccc(N)cc1', 'Brc1ncccn1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Cl)cc1']; ['Clc1ncccn1', 'CNC(=O)c1ccc(N)cc1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Fc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9990698099136353, 0.9990558624267578, 0.995447039604187, 0.9935153722763062, 0.993403434753418, 0.9907664060592651, 0.987203061580658, 0.9799404740333557, 0.9747928380966187, 0.9721865653991699, 0.892676830291748]
+COc1cc(Nc2ncccn2)ccc1Cl; ['Brc1ncccn1', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(F)ccc1Cl']; ['COc1cc(N)ccc1Cl', 'CSc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1']; [0.9999918937683105, 0.9998104572296143, 0.9996858239173889, 0.9993431568145752, 0.999241828918457, 0.9988921880722046, 0.9970472455024719, 0.9948857426643372, 0.9946421384811401, 0.9918550848960876]
+CCNC(=O)c1ccc(Nc2ncccn2)nc1; ['CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc(Cl)nc1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9928180575370789, 0.9705363512039185]
+COc1cc(Nc2ncccn2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1O']; ['Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9976483583450317, 0.9716696739196777, 0.7574638724327087]
+COc1cc(F)c(Nc2ncccn2)cc1OC; ['COc1cc(N)c(F)cc1OC', 'Brc1ncccn1', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC']; ['Clc1ncccn1', 'COc1cc(N)c(F)cc1OC', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Fc1ncccn1', 'CSc1ncccn1']; [0.9993079900741577, 0.9989548921585083, 0.9973199367523193, 0.9900873899459839, 0.989851713180542, 0.9867841005325317, 0.9710864424705505, 0.9704653024673462, 0.9577774405479431]
+COc1ccc(OC)c(CNc2ncccn2)c1; ['COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'Brc1ncccn1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(C=O)c1', 'COc1ccc(OC)c(CCl)c1', 'COc1ccc(OC)c(CO)c1', 'COc1ccc(OC)c(CBr)c1']; ['Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'COc1ccc(OC)c(CN)c1', 'CSc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9995393753051758, 0.9993035793304443, 0.9989386796951294, 0.9977174997329712, 0.9948017001152039, 0.9922647476196289, 0.987386167049408, 0.9869191646575928, 0.9795519113540649]
+CO[C@@H]1CC[C@@H](Nc2ncccn2)CC1; ['Brc1ncccn1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1']; ['CO[C@H]1CC[C@H](N)CC1', 'Clc1ncccn1', 'Ic1ncccn1', 'Fc1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.9998961687088013, 0.9996242523193359, 0.9993574023246765, 0.9980270862579346, 0.9968308210372925, 0.9833559989929199]
+CCNC(=O)N1CCC(Nc2ncccn2)CC1; [None, None, 'CCN=C=O', None, 'CCN', 'CCNC(=O)Oc1ccc([N+](=O)[O-])cc1', 'CCNC(=O)N1CCC(N)CC1', 'CCNC(=O)Oc1ccccc1', 'CCNC(=O)OCC', 'CCNC(=O)OC', 'CCNC=O', 'CCNC(=O)OC(C)(C)C']; [None, None, 'c1cnc(NC2CCNCC2)nc1', None, 'c1cnc(NC2CCNCC2)nc1', 'c1cnc(NC2CCNCC2)nc1', 'Clc1ncccn1', 'c1cnc(NC2CCNCC2)nc1', 'c1cnc(NC2CCNCC2)nc1', 'c1cnc(NC2CCNCC2)nc1', 'c1cnc(NC2CCNCC2)nc1', 'c1cnc(NC2CCNCC2)nc1']; [0, 0, 0.9997484683990479, 0, 0.9996781349182129, 0.9991199970245361, 0.9990590810775757, 0.9972183704376221, 0.9971777200698853, 0.9950313568115234, 0.9896218776702881, 0.9861370325088501]
+Nc1cc(Nc2ncccn2)c2cc[nH]c2n1; ['Nc1cc(Br)c2cc[nH]c2n1']; ['Nc1ncccn1']; [0.9900184273719788]
+CC1(C)Cc2cc(Nc3ncccn3)ccc2O1; [None]; [None]; [0]
+COc1cc(Nc2ncccn2)cc(OC)c1; ['Brc1ncccn1', 'COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(F)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(O)cc(OC)c1', 'COc1cc(N)cc(OC)c1']; ['COc1cc(N)cc(OC)c1', 'Ic1ncccn1', 'Clc1ncccn1', 'Fc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9998074769973755, 0.9993178248405457, 0.9992135763168335, 0.9991369247436523, 0.9979236125946045, 0.9967711567878723, 0.9952014684677124, 0.9881446361541748, 0.9860566258430481, 0.9845501184463501, 0.9829015731811523, 0.9820294380187988, 0.9724355936050415, 0.8867813348770142]
 O=C(Nc1cn[nH]c1)c1cccc(Nc2ncccn2)c1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1Nc1ncccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(Nc2ncccn2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1']; ['Clc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1']; [0.9970363974571228, 0.9900208711624146, 0.9161098599433899, 0.9118621349334717, 0.8063274025917053]
+c1cnc(Nc2ccc3cn[nH]c3c2)nc1; ['Brc1ncccn1', 'Clc1ncccn1', 'Fc1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Brc1ccc2cn[nH]c2c1', 'Nc1ncccn1', 'Ic1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1']; ['Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ncccn1', 'Oc1ccc2cn[nH]c2c1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9998524188995361, 0.9996398687362671, 0.9995774626731873, 0.9994491338729858, 0.9993500113487244, 0.9990066885948181, 0.9985963106155396, 0.9949716329574585, 0.9892768859863281, 0.9757628440856934, 0.8262870907783508]
+c1cnc(Nc2ncc3sccc3n2)nc1; ['Clc1ncc2sccc2n1']; ['Nc1ncccn1']; [0.9996931552886963]
 COc1ccc2c(c1)c(Nc1ncccn1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NNc2ncccn2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(Nc3ncccn3)[nH]c2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1Nc1ncccn1; ['CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1I']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9992797374725342, 0.9931339025497437]
+c1cnc(Nc2cc(-c3cccnc3)ccn2)nc1; ['Brc1ncccn1', 'Clc1ncccn1']; ['Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1']; [0.9986854791641235, 0.9980384111404419]
+COc1ccc(F)c(C(=O)NNc2ncccn2)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['NNc1ncccn1']; [0.998623251914978]
+C[NH+](C)Cc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
+COc1ccc2nc(Nc3ncccn3)[nH]c2c1; ['COc1ccc2nc(Cl)[nH]c2c1']; ['Nc1ncccn1']; [0.9917352199554443]
+Cn1cc(Br)cc1Nc1ncccn1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2ncccn2)c1)N1CCCC1; [None]; [None]; [0]
+c1cnc(Nc2cc3ccccc3o2)nc1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(Nc2ncccn2)cc1; ['Brc1ncccn1', 'Clc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Fc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'Fc1ccc(OC(F)(F)F)cc1']; ['Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9999626874923706, 0.999744713306427, 0.999627411365509, 0.9995168447494507, 0.9994899034500122, 0.9993847012519836, 0.998690128326416, 0.9984437823295593, 0.996741771697998, 0.9953947067260742, 0.9788601994514465, 0.9248538613319397]
+COc1ccc2oc(Nc3ncccn3)cc2c1; [None]; [None]; [0]
+CCc1cccc(Nc2ncccn2)n1; ['CCc1cccc(N)n1', 'Brc1ncccn1', 'CCc1cccc(N)n1', 'CCc1cccc(Br)n1', 'CCc1cccc(N)n1', 'CCc1cccc(N)n1', 'CCc1cccc(N)n1', 'CCc1cccc(N)n1']; ['Ic1ncccn1', 'CCc1cccc(N)n1', 'Clc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1', 'Fc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1']; [0.9985669851303101, 0.9980952739715576, 0.9954541921615601, 0.9948646426200867, 0.9880683422088623, 0.9842737317085266, 0.9599156379699707, 0.8833165168762207]
+CN(C)c1ccc(Nc2ncccn2)cn1; ['CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(N)cn1', 'Brc1ncccn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(F)cn1']; ['Nc1ncccn1', 'Clc1ncccn1', 'CN(C)c1ccc(N)cn1', 'Nc1ncccn1', 'Fc1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.9973333477973938, 0.9969598054885864, 0.9949581027030945, 0.9877721667289734, 0.9869312047958374, 0.9857944250106812, 0.9854257702827454, 0.9795119762420654, 0.9731582403182983, 0.9700600504875183, 0.905284583568573]
 c1cnc(Nc2ncn3c2CCCC3)nc1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(Nc2ncccn2)c1; ['Brc1ncccn1', 'Clc1ncccn1', 'CSc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1']; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1', 'Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Cl)c1']; [0.9993538856506348, 0.9982520341873169, 0.995309591293335, 0.9845309257507324, 0.9708036184310913, 0.9687024354934692, 0.9250386953353882]
+Cc1n[nH]c2cc(Nc3ncccn3)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12']; ['Nc1ncccn1', 'Clc1ncccn1', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Nc1ncccn1', 'Nc1ncccn1']; [0.999974250793457, 0.9997962713241577, 0.9997960329055786, 0.9988724589347839, 0.998302161693573, 0.9936326742172241]
+O=C(NNc1ncccn1)c1cccc(OC(F)(F)F)c1; ['NNc1ncccn1', 'NNc1ncccn1', 'COC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'NNc1ncccn1']; [0.999998927116394, 0.9999815225601196, 0.9974387288093567]
 CC(=O)N1CCC(n2cc(Nc3ncccn3)cn2)CC1; [None]; [None]; [0]
-O=C(NNc1ncccn1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(Nc3ncccn3)ccc21; [None]; [None]; [0]
+OCCc1ccc(Nc2ncccn2)cc1; ['CSc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'Brc1ncccn1', 'Nc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; ['Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(B(O)O)cc1', 'Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(I)cc1']; [0.9989043474197388, 0.9966623783111572, 0.9948533773422241, 0.9899533987045288, 0.9871640205383301, 0.9863694906234741, 0.9779460430145264, 0.9201858043670654, 0.9132164120674133]
+Cc1cc(Nc2ncccn2)cc(C)c1OCCO; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2ncccn2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1Nc1ncccn1; ['COc1cc(N2CCN(C(=O)OC(C)(C)C)CC2)ccc1N']; ['Clc1ncccn1']; [0.9999805688858032]
+CC(C)(O)c1ccc2cc(Nc3ncccn3)[nH]c2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2ncccn2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1']; ['Nc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1']; [0.9587773084640503, 0.9326997995376587, 0.8365014791488647, 0.7827613949775696]
+Cc1cc(N2CCOCC2)ccc1Nc1ncccn1; ['Cc1cc(N2CCOCC2)ccc1N', 'Brc1ncccn1', 'Cc1cc(N2CCOCC2)ccc1N', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1']; ['Clc1ncccn1', 'Cc1cc(N2CCOCC2)ccc1N', 'Ic1ncccn1', 'Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N']; [0.9999946355819702, 0.9999734163284302, 0.9998738765716553, 0.9997625946998596, 0.9997234344482422, 0.9996650218963623]
+COc1cc(S(C)(=O)=O)ccc1Nc1ncccn1; ['COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N']; ['Clc1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.9997329711914062, 0.9992694854736328, 0.9925026893615723, 0.9909511804580688]
+CN(C)C(=O)c1ccc(Nc2ncccn2)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9974479675292969, 0.9831383228302002]
 Cc1ncc(-c2ccc(Nc3ncccn3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1Nc1ncccn1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1ncccn1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2ncccn2)cc1; ['Brc1ncccn1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(I)cc1']; ['CCNC(=O)c1ccc(N)cc1', 'Clc1ncccn1', 'Ic1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ncccn1']; [0.9973533153533936, 0.9943038821220398, 0.9843242168426514, 0.9369661211967468, 0.9222046136856079, 0.7756831049919128]
+CCNC(=O)Cc1ccc(Nc2ncccn2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1ncccn1']; [0.9679957032203674]
+CNC(=O)c1ccc(C)c(Nc2ncccn2)c1; ['Brc1ncccn1', 'CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1']; ['CNC(=O)c1ccc(C)c(N)c1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1']; [0.9995735883712769, 0.9989855885505676, 0.9868893623352051, 0.9794695973396301, 0.9739154577255249]
 Cn1nc(Nc2ncccn2)cc1C(C)(C)O; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1Nc1ncccn1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(Nc2ncccn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Cl)c1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9995778799057007, 0.8717236518859863]
+CC(=O)N(C)c1ccc(NC(=O)c2ccccc2)cc1; ['CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['O=C(Cl)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1', 'COC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9998583793640137, 0.9997572302818298, 0.9989203214645386, 0.9988374710083008, 0.973760724067688]
+O=C(Nc1ncc2ccccc2n1)c1ccccc1; ['Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1']; ['O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9996750950813293, 0.999382734298706, 0.9979322552680969, 0.9559475183486938]
+COc1ncccc1NC(=O)c1ccccc1; ['COc1ccccn1', 'COc1ncccc1N', 'COc1ncccc1N', 'COc1ncccc1N', 'COc1ncccc1[N+](=O)[O-]', 'COc1ncccc1Cl', 'COc1ncccc1I', 'COC(=O)c1ccccc1', 'COc1ncccc1Br']; ['O=c1onc(-c2ccccc2)o1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'COc1ncccc1N', 'NC(=O)c1ccccc1']; [0.9995648860931396, 0.998274564743042, 0.9982510805130005, 0.9868385791778564, 0.9838486909866333, 0.9689050316810608, 0.962105393409729, 0.9518688917160034, 0.8999314308166504]
+O=C(Nc1cnc2cccnn12)c1ccccc1; ['Nc1cnc2cccnn12', 'Nc1cnc2cccnn12', 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'Nc1cnc2cccnn12', 'Nc1cnc2cccnn12']; [0.9999945759773254, 0.9990427494049072, 0.9978582859039307, 0.995632529258728]
+Cc1ccc2ncn(NC(=O)c3ccccc3)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(NC(=O)c2ccccc2)c1; ['N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c([N+](=O)[O-])c1', 'COC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'N#Cc1ccc(O)c(N)c1']; [0.9958670139312744, 0.9943886995315552, 0.9928708076477051, 0.9888609647750854, 0.9218552112579346, 0.9046832323074341]
+CS(=O)(=O)c1cccc(NC(=O)c2ccccc2)c1; [None, 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)[O-]', 'CS(=O)(=O)c1cccc(N)c1', 'COC(=O)c1ccccc1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CCOC(=O)c1ccccc1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc([N+](=O)[O-])c1', 'CS(=O)(=O)c1cccc(N)c1']; [None, 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'CS(=O)(=O)c1cccc(N)c1', 'O=C(O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'CS(=O)(=O)c1cccc(N)c1', 'O=C(F)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=Cc1ccccc1']; [0, 0.9993065595626831, 0.9992536902427673, 0.9983749389648438, 0.9978346824645996, 0.9975508451461792, 0.9928358793258667, 0.9928320646286011, 0.9919456839561462, 0.9872196912765503, 0.9794865250587463, 0.9786905646324158, 0.8392168283462524]
+C[C@H](CS(C)(=O)=O)Nc1ncccn1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccccc2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', None, 'COc1cc(N)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'CCOC(=O)c1ccccc1', 'COc1cccc(OC)c1OC', 'COc1cccc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COC(=O)c1ccccc1', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Brc1ccccc1', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'CN(C)C(=O)c1ccccc1', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(c1ccccc1)n1ccnc1', None, 'O=C(Cl)c1ccccc1', 'N#Cc1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'COc1cc(N)cc(OC)c1OC', '[N-]=[N+]=NC(=O)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'O=C(F)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'COc1cc(N)cc(OC)c1OC', 'N#Cc1ccccc1', 'NC(=O)c1ccccc1', 'COc1cc(N=C=O)cc(OC)c1OC', 'NC(=O)c1ccccc1', 'O=C(O)C(=O)c1ccccc1', 'COc1cc(N)cc(OC)c1OC', 'NNC(=O)c1ccccc1', 'OCc1ccccc1', 'O=Cc1ccccc1']; [0.9999454617500305, 0.9998042583465576, 0, 0.9992548227310181, 0.9992163777351379, 0.9978150725364685, 0.9974446296691895, 0.9958423376083374, 0.9955254793167114, 0.9913662672042847, 0.9911929368972778, 0.9911452531814575, 0.9908915758132935, 0.9898883104324341, 0.9861922264099121, 0.9829086661338806, 0.981526255607605, 0.960765540599823, 0.955379843711853, 0.9323772192001343, 0.90627521276474, 0.8975805044174194, 0.8886514902114868]
+Cc1ccc(C(=O)NCCO)cc1Nc1ncccn1; [None]; [None]; [0]
+O=C(Nc1cccc(O)c1)c1ccccc1; ['Ic1ccccc1', 'Nc1cccc(O)c1', 'Nc1cccc(O)c1', None, 'Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'N#Cc1ccccc1', 'N#Cc1ccccc1', 'Nc1cccc(O)c1', 'NC(=O)c1ccccc1', 'C=CCOC(=O)c1ccccc1', 'Nc1cccc(O)c1', 'COC(=O)c1ccccc1', 'NC(=O)c1ccccc1', None, 'Nc1cccc(O)c1', 'CCOC(=O)c1ccccc1']; ['Nc1cccc(O)c1', 'O=C(Cl)c1ccccc1', 'O=C(c1ccccc1)n1nnc2ccccc21', None, 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'O=C(O)c1ccccc1', 'Oc1cccc(I)c1', 'Nc1cccc(O)c1', 'O=C(O)C(=O)c1ccccc1', 'Nc1cccc(O)c1', 'Oc1cccc(Br)c1', None, 'O=C(F)c1ccccc1', 'Nc1cccc(O)c1']; [0.9979384541511536, 0.9879906177520752, 0.987296998500824, 0, 0.9842195510864258, 0.9835739135742188, 0.983232855796814, 0.982684850692749, 0.98204106092453, 0.9791197776794434, 0.9543775320053101, 0.9520196318626404, 0.9261974096298218, 0.9062473773956299, 0.8614069223403931, 0, 0.8080093860626221, 0.7546200752258301]
+CCOc1ccc(NC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+O=C(Nc1nc2ccccc2[nH]1)c1ccccc1; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1']; [0.9985606670379639, 0.9966294765472412, 0.9952825307846069]
 Cc1nc(C(C)(C)O)sc1NC(=O)c1ccccc1; [None]; [None]; [0]
+O=C(NNc1ncccn1)c1ccccc1; ['NNc1ncccn1', 'NNc1ncccn1', 'NNc1ncccn1', 'CCOC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'NNc1ncccn1']; [0.9998612403869629, 0.9975065588951111, 0.9950792789459229, 0.9365760087966919]
+O=C(Nc1cccc(NC(=O)C2CC2)c1)c1ccccc1; [None, 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'COC(=O)c1ccccc1', 'Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'NC(=O)c1ccccc1', 'CCOC(=O)C1CC1', 'NC(=O)c1ccccc1', 'O=C(Cl)C1CC1', 'Nc1cccc(NC(=O)C2CC2)c1', 'NC(=O)C1CC1']; [None, 'O=C(Cl)C1CC1', 'O=C(Cl)c1ccccc1', 'O=C(O)C1CC1', 'O=C(c1ccccc1)n1ccnc1', 'Nc1cccc(NC(=O)C2CC2)c1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(Nc1cccc(Br)c1)C1CC1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'O=C(Nc1cccc([N+](=O)[O-])c1)c1ccccc1', 'O=C(Br)c1ccccc1', 'Nc1cccc(NC(=O)c2ccccc2)c1']; [0, 0.99934983253479, 0.9983747005462646, 0.9978141784667969, 0.9974058866500854, 0.9967377781867981, 0.996687650680542, 0.9964714050292969, 0.9833470582962036, 0.9802144765853882, 0.9618321657180786, 0.9400245547294617, 0.9354981184005737, 0.9099216461181641]
+COc1ccc(NC(=O)c2ccccc2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(N=C=O)cc1', 'COc1ccccc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'Brc1ccccc1', 'COc1ccccc1', None, 'CCCC[Sn](CCCC)(CCCC)c1ccccc1', 'COS(=O)(=O)OC', 'COc1ccc(N=C=O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(N)cc1', None, 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N=C=O)cc1', 'Brc1ccccc1', 'COc1ccc(N=C=O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc([Si](OC)(OC)OC)cc1', 'COC(=O)c1ccccc1', 'COc1ccc(I)cc1', 'COc1ccc(N)cc1', 'COc1ccc([N+](=O)[O-])cc1', 'COc1ccc(N=C=O)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CCOC(=O)c1ccccc1', 'CI', 'C(#Cc1ccccc1)c1ccccc1', 'CO', 'COc1ccc(N=C=O)cc1', 'C[Si](C)(C)C=[N+]=[N-]', None, 'COc1ccc([N+](=O)[O-])cc1', 'COc1ccc(N)cc1', 'COc1ccc(OS(C)(=O)=O)cc1', 'COc1ccc(N=[N+]=[N-])cc1', 'COc1ccc(NC=O)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N=[N+]=[N-])cc1', 'COc1ccc(N)cc1', 'COc1ccc(N=[N+]=[N-])cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(I)cc1', 'Brc1ccccc1', 'CO', 'COc1ccccc1', 'COc1ccc(NC(C)=O)cc1', 'CBr', 'COc1ccc(C(=O)[O-])cc1', 'C[O-]', 'COc1ccc(NC(C)=O)cc1', 'CN(C)C(=O)c1ccccc1']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(Cl)c1ccccc1', 'N#Cc1ccccc1', 'OB(O)c1ccccc1', 'N#Cc1ccccc1', 'NC(=O)c1ccccc1', 'Ic1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'COc1ccc(N)cc1', 'O=c1onc(-c2ccccc2)o1', None, 'COc1ccc(N=C=O)cc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'Ic1ccccc1', 'N#Cc1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', None, 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'c1ccc(B2OCCCO2)cc1', 'COc1ccc(N=C=O)cc1', 'C[Sn](C)(C)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'COc1ccc(N)cc1', 'NC(=O)c1ccccc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'c1ccccc1', 'NC(=O)c1ccccc1', 'COc1ccc(N)cc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'COc1ccc(N)cc1', 'O=C(Nc1ccc(I)cc1)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', None, 'O=C(O)c1ccccc1', 'O=C(Br)c1ccccc1', 'NC(=O)c1ccccc1', 'O=Cc1ccccc1', 'Ic1ccccc1', 'O=C(F)c1ccccc1', 'N#CC(=O)c1ccccc1', 'O=C(O)C(=O)c1ccccc1', 'O=C(S)c1ccccc1', 'NC(=O)c1ccccc1', 'OCc1ccccc1', 'NC(=O)c1ccccc1', 'NCc1ccccc1', 'COc1ccc(NC=O)cc1', 'O=C(Nc1ccc(Br)cc1)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Nc1ccc(Br)cc1)c1ccccc1', 'Cc1ccccc1', 'COc1ccc(N)cc1']; [0.9998633861541748, 0.9993616938591003, 0.999312698841095, 0.9987844228744507, 0.9987387657165527, 0.9984543323516846, 0.9984091520309448, 0.9982460737228394, 0.9978471994400024, 0.9973742961883545, 0, 0.9965949058532715, 0.996113121509552, 0.9958525896072388, 0.9957605600357056, 0.9955743551254272, 0, 0.9945791959762573, 0.9935392737388611, 0.993370771408081, 0.9927834272384644, 0.9921823740005493, 0.9920699596405029, 0.9918093085289001, 0.9911945462226868, 0.9903258085250854, 0.988994836807251, 0.9885625839233398, 0.9870476126670837, 0.9840576648712158, 0.9840414524078369, 0.9816651344299316, 0.9810343980789185, 0.9804013967514038, 0.9762019515037537, 0.9758427143096924, 0, 0.9667710065841675, 0.9612901210784912, 0.9583336710929871, 0.9572863578796387, 0.9497485756874084, 0.9490676522254944, 0.9472995400428772, 0.9427971839904785, 0.9421388506889343, 0.9396913051605225, 0.9396046996116638, 0.9391301870346069, 0.9367658495903015, 0.9302629232406616, 0.9207359552383423, 0.9063471555709839, 0.8961705565452576, 0.8628427982330322, 0.8335486650466919, 0.7927150130271912, 0.7821208238601685, 0.7565017342567444]
+O=C(Nc1nccc2ccccc12)c1ccccc1; ['Nc1nccc2ccccc12', 'Brc1nccc2ccccc12', 'C#Cc1ccccc1', 'Clc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'COC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1', 'CC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'Nc1nccc2ccccc12', 'NC(=O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'Nc1nccc2ccccc12', '[O-][n+]1ccc2ccccc2c1', 'Nc1nccc2ccccc12', 'Nc1nccc2ccccc12']; [0.9999498128890991, 0.9998809099197388, 0.9998549222946167, 0.9997292757034302, 0.9996122717857361, 0.9992680549621582, 0.9966606497764587, 0.9926871061325073, 0.9775606393814087, 0.8053821325302124]
+O=C([O-])c1ccc(NC(=O)c2ccccc2)cc1; ['Nc1ccc(C(=O)[O-])cc1', 'Nc1ccc(C(=O)[O-])cc1', 'Nc1ccc(C(=O)[O-])cc1', 'Nc1ccc(C(=O)[O-])cc1', 'O=C([O-])c1ccccc1', 'Nc1ccc(C(=O)[O-])cc1', 'Nc1ccc(C(=O)[O-])cc1']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(c1ccccc1)n1ccnc1', 'O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1']; [0.9999211430549622, 0.9921582937240601, 0.9759531021118164, 0.9454280138015747, 0.9207492470741272, 0.8406447172164917, 0.7958269119262695]
+O=C(Nc1ccc(N2CCOCC2)cc1)c1ccccc1; ['Ic1ccccc1', 'Brc1ccccc1', 'C1COCCN1', 'Nc1ccc(N2CCOCC2)cc1', None, 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'COC(=O)c1ccccc1', 'Nc1ccc(N2CCOCC2)cc1', 'CCOC(=O)c1ccccc1', 'C1COCCN1', 'Nc1ccc(N2CCOCC2)cc1', 'BrCCOCCBr', 'C1COCCN1', 'Ic1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'ClCCOCCCl', 'Ic1ccc(N2CCOCC2)cc1', 'ICCOCCI', 'O=c1onc(-c2ccccc2)o1', 'NC(=O)c1ccccc1', 'Nc1ccc(N2CCOCC2)cc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'NNC(=O)c1ccccc1', 'C=CCOC(=O)c1ccccc1', 'Clc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'O=C(Cl)c1ccccc1']; ['Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(NC(=O)c3ccccc3)cc2)OC1(C)C', 'O=C(c1ccccc1)n1nnc2ccccc21', None, 'O=C(Cl)c1ccccc1', 'O=C(Oc1c(F)c(F)c(F)c(F)c1F)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(Oc1ccccc1)c1ccccc1', 'Nc1ccc(N2CCOCC2)cc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'Nc1ccc(N2CCOCC2)cc1', 'O=C(Nc1ccc(I)cc1)c1ccccc1', 'O=C(O)c1ccccc1', 'Nc1ccc(NC(=O)c2ccccc2)cc1', 'O=C(Nc1ccc(Br)cc1)c1ccccc1', 'N#Cc1ccccc1', 'O=C([O-])c1ccccc1', 'NC(=O)c1ccccc1', 'Nc1ccc(NC(=O)c2ccccc2)cc1', 'NC(=O)c1ccccc1', 'Nc1ccc(NC(=O)c2ccccc2)cc1', 'c1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'O=Cc1ccccc1', 'c1ccc(N2CCOCC2)cc1', 'O=C(Br)c1ccccc1', 'O=C(O)C(=O)c1ccccc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'NC(=O)c1ccccc1', 'OCc1ccccc1', 'O=[N+]([O-])c1ccc(N2CCOCC2)cc1']; [0.9999731779098511, 0.9999698996543884, 0.9999316930770874, 0.9999109506607056, 0, 0.9995927214622498, 0.9995373487472534, 0.9993950128555298, 0.9993327856063843, 0.9993267059326172, 0.999284565448761, 0.9989196062088013, 0.9984967112541199, 0.9983811974525452, 0.9979686141014099, 0.997383713722229, 0.9970373511314392, 0.9970318675041199, 0.9962723255157471, 0.9946836233139038, 0.9941412210464478, 0.993852972984314, 0.9917024374008179, 0.991637110710144, 0.9903267621994019, 0.9874783754348755, 0.986382246017456, 0.9838088154792786, 0.9828115701675415, 0.9561135172843933, 0.9402830600738525, 0.9190985560417175, 0.8652756214141846]
+N#Cc1cccc(Cn2cc(NC(=O)c3ccccc3)cn2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'COC(=O)c1ccccc1', 'NC(=O)c1ccc(I)cc1', None, 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccc(Br)cc1', 'O=C(Cl)C(=O)Cl', 'NC(=O)c1ccc([N+](=O)[O-])cc1', None, 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(Cl)cc1', 'N', None, 'NC(=O)c1ccc(N)cc1', 'NC(N)=O']; ['O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccccc1', None, 'O=C(Br)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccc(NC(=O)c2ccccc2)cc1', 'O=C(Cl)c1ccccc1', None, 'O=C(O)C(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccc(NC(=O)c2ccccc2)cc1', None, 'OCc1ccccc1', 'O=C(O)c1ccc(NC(=O)c2ccccc2)cc1']; [0.9998618364334106, 0.9994672536849976, 0.9992510080337524, 0.9980406761169434, 0.9978522062301636, 0.9947280883789062, 0, 0.9906857013702393, 0.9882178902626038, 0.9844107627868652, 0.979004979133606, 0.9778441190719604, 0, 0.9580923318862915, 0.9515213966369629, 0.9165277481079102, 0, 0.8962169885635376, 0.8154162168502808]
+O=C(Nc1ccc(OCCO)cc1)c1ccccc1; ['Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', None, 'Nc1ccc(OCCO)cc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'NC(=O)c1ccccc1', 'COC(=O)c1ccccc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'Nc1ccc(OCCO)cc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'Cc1ccc(S(=O)(=O)OCCO)cc1', 'CCOC(=O)c1ccccc1', 'C1CO1', 'Nc1ccc(OCCO)cc1', 'NC(=O)c1ccccc1', 'O=C(Nc1ccc(I)cc1)c1ccccc1', 'NC(=O)c1ccccc1', 'Cc1ccc(S(=O)(=O)CCO)cc1', 'Nc1ccc(OCCO)cc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', None, 'O=C(O)c1ccccc1', 'O=C(Nc1ccc(Br)cc1)c1ccccc1', 'O=C(Cl)c1ccccc1']; ['O=C(O)c1ccccc1', 'O=C(Cl)c1ccccc1', None, 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'OCCCl', 'OCCOc1ccc(Br)cc1', 'Nc1ccc(OCCO)cc1', 'OCCBr', 'O=C(c1ccccc1)n1ccnc1', 'OCCI', 'OCCOc1ccc(I)cc1', 'O=C1OCCO1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'Nc1ccc(OCCO)cc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'O=C(O)C(=O)c1ccccc1', 'Nc1ccc(OCCO)cc1', 'OCCO', 'OCCOc1ccc(Cl)cc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'O=C(c1ccccc1)N1CCSC1=S', 'OCCO', None, 'O=[N+]([O-])c1ccc(OCCO)cc1', 'OCCO', 'O=[N+]([O-])c1ccc(OCCO)cc1']; [0.9992084503173828, 0.9992016553878784, 0, 0.9980059266090393, 0.9974836111068726, 0.9970884323120117, 0.9970507025718689, 0.9964183568954468, 0.9955268502235413, 0.9936242699623108, 0.9913081526756287, 0.9911166429519653, 0.9909340143203735, 0.9899997711181641, 0.9878400564193726, 0.9792745113372803, 0.9783248901367188, 0.975261926651001, 0.9391978979110718, 0.9379824995994568, 0.9265819787979126, 0.9261207580566406, 0, 0.8847557306289673, 0.8811948299407959, 0.8607974648475647]
+O=C(Nc1cccc(C2CCNCC2)c1)c1ccccc1; ['Nc1cccc(C2CCNCC2)c1', 'Nc1cccc(C2CCNCC2)c1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1']; [0.9996943473815918, 0.998767614364624]
+O=C(Nc1ccc(C(=O)N2CCOCC2)cn1)c1ccccc1; ['Nc1ccc(C(=O)N2CCOCC2)cn1', 'NC(=O)c1ccccc1', 'Nc1ccc(C(=O)N2CCOCC2)cn1', 'CCOC(=O)c1ccccc1', 'COC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1', 'O=C(O)c1ccccc1', 'Nc1ccc(C(=O)N2CCOCC2)cn1', 'Nc1ccc(C(=O)N2CCOCC2)cn1']; [0.9999948143959045, 0.9999874830245972, 0.9999064803123474, 0.9998146295547485, 0.9997584223747253]
+C[C@H](O)COc1ccc(NC(=O)c2ccccc2)cc1; ['C[C@H]1CO1', 'C[C@H](O)CCl']; ['O=C(Nc1ccc(O)cc1)c1ccccc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1']; [0.9991512298583984, 0.9961715936660767]
+CNS(=O)(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'COC(=O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'NC(=O)c1ccccc1']; [0.9982026219367981, 0.9979145526885986, 0.9956014752388, 0.9955459833145142, 0.9899886846542358, 0.7731990814208984]
+CC(=O)NCc1ccc(NC(=O)c2ccccc2)cc1; ['CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccccc1', 'CC(=O)NCc1ccc(F)cc1', 'CC(=O)NCO']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1', 'COC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'NC(=O)c1ccccc1', 'O=C(Nc1ccccc1)c1ccccc1']; [0.9997425675392151, 0.9993137121200562, 0.9985440969467163, 0.997870683670044, 0.9977250099182129, 0.9947016835212708, 0.9944161772727966, 0.98563551902771, 0.9771121740341187, 0.961439311504364, 0.8693305253982544, 0.8615618944168091]
+O=C(Nc1ccc(C(=O)Nc2ccccc2)cc1)c1ccccc1; [None, 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'NC(=O)c1ccccc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Ic1ccccc1', 'Brc1ccccc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', None, 'Nc1ccccc1', 'NC(=O)c1ccccc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'COC(=O)c1ccccc1', 'O=C(Nc1ccc(B(O)O)cc1)c1ccccc1', 'Nc1ccccc1', None]; [None, 'O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)n1ccnc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', None, 'O=C(Nc1ccc(Br)cc1)c1ccccc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'O=C=Nc1ccccc1', 'O=C(Nc1ccc(I)cc1)c1ccccc1', None]; [0, 0.9973033666610718, 0.9685919284820557, 0.9613486528396606, 0.9382060766220093, 0.932391881942749, 0.9191992282867432, 0.8445842266082764, 0.8405648469924927, 0, 0.82305908203125, 0.8159592747688293, 0.8108316659927368, 0.8024281859397888, 0.7967560291290283, 0.7886163592338562, 0.7855721116065979, 0]
 CC(=O)N1CCN(C(=O)Cc2ccc(NC(=O)c3ccccc3)cc2)CC1; [None]; [None]; [0]
-CC(C)c1cc(NC(=O)c2ccccc2)nc(N)n1; [None]; [None]; [0]
+Cc1nc(C)c(NC(=O)c2ccccc2)s1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(NC(=O)c2ccccc2)cc1; ['C[C@@H]1CO1', 'C[C@@H](O)CCl', 'C[C@@H](O)CO']; ['O=C(Nc1ccc(O)cc1)c1ccccc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1']; [0.9991512298583984, 0.9961715936660767, 0.9741454124450684]
+CN(C)S(=O)(=O)c1ccc(NC(=O)c2ccccc2)cc1; [None, 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; [None, 'O=C(Cl)c1ccccc1', 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'COC(=O)c1ccccc1', 'O=C(F)c1ccccc1', 'NC(=O)c1ccccc1']; [0, 0.999830961227417, 0.9997917413711548, 0.9992214441299438, 0.9986515045166016, 0.9984174370765686, 0.9983705878257751, 0.9846400022506714, 0.9843292236328125]
+O=C(Nc1ccc(C(=O)N2CCOCC2)cc1)c1ccccc1; [None]; [None]; [0]
+CC(C)c1cc(NC(=O)c2ccccc2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1']; ['NC(=O)c1ccccc1']; [0.9891107082366943]
+CS(=O)(=O)N1CCC(NC(=O)c2ccccc2)CC1; ['CS(=O)(=O)Cl', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', None, 'Brc1ccccc1', None, 'COC(=O)c1ccccc1', 'CS(=O)(=O)N1CCC(=O)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CC(C)(C)OC(=O)NC1CCN(S(C)(=O)=O)CC1']; ['O=C(NC1CCNCC1)c1ccccc1', 'O=C(Cl)c1ccccc1', 'Ic1ccccc1', 'O=C(O)c1ccccc1', None, 'CS(=O)(=O)N1CCC(N)CC1', None, 'CS(=O)(=O)N1CCC(N)CC1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccccc1']; [0.9999581575393677, 0.9998037815093994, 0.9996752738952637, 0.9995720982551575, 0, 0.9992337226867676, 0, 0.9986106157302856, 0.9970301985740662, 0.9963781833648682, 0.9547698497772217]
+Nc1ncc(CNC(=O)c2ccccc2)cn1; [None]; [None]; [0]
 O=C(Nc1ccc2c(c1)CS(=O)(=O)C2)c1ccccc1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(NC(=O)c3ccccc3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(NC(=O)c2ccccc2)nc1; [None]; [None]; [0]
+O=C(NCc1ccccc1O)c1ccccc1; ['NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'CC(C)(C)OOC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1', 'COC(=O)c1ccccc1', 'NCc1ccccc1O', 'N#Cc1ccccc1', 'ClCc1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'NCc1ccccc1O', 'O=C(NCO)c1ccccc1', None]; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(Cl)c1ccccc1', 'O=C(ON1C(=O)CCC1=O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Oc1c(F)c(F)c(F)c(F)c1F)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', '[N-]=[N+]=NC(=O)c1ccccc1', 'NCc1ccccc1O', 'NCc1ccccc1O', 'OCc1ccccc1O', 'NCc1ccccc1O', 'OCc1ccccc1', 'Oc1ccccc1', None]; [0.9999849200248718, 0.9998573064804077, 0.9997769594192505, 0.9995884895324707, 0.9995098114013672, 0.9992456436157227, 0.9991828203201294, 0.9974305629730225, 0.9970388412475586, 0.9947401285171509, 0.9943386316299438, 0.992255687713623, 0.9883573055267334, 0.9851807355880737, 0.9769401550292969, 0.976739764213562, 0.9760435819625854, 0.9618709683418274, 0]
+O=C(Nc1ccc(C(F)(F)F)cc1)c1ccccc1; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['O=C(Cl)c1ccccc1', 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'COC(=O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9983556270599365, 0.9961490631103516, 0.9959145784378052, 0.9905722141265869, 0.990212082862854, 0.9031388759613037]
+CCCOc1ccc(NC(=O)c2ccccc2)nc1; ['CCCOc1ccc(Br)nc1']; ['NC(=O)c1ccccc1']; [0.9994455575942993]
+O=C(Nc1ccn2nccc2n1)c1ccccc1; ['Nc1ccn2nccc2n1', 'C#Cc1ccccc1', 'Clc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'Nc1ccn2nccc2n1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999830722808838, 0.9999779462814331, 0.9999492168426514, 0.9998837113380432, 0.9997941851615906, 0.9994726777076721, 0.9969401359558105]
+CC(=O)N1CCCN(c2cccc(NC(=O)c3ccccc3)c2)CC1; ['CC(=O)N1CCCNCC1']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999706745147705]
+O=C(N[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccccc1; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccccc2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', None, 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CCOC(=O)c1ccccc1', 'CN(C)c1ccc([N+](=O)[O-])cc1Cl', 'CN(C)c1ccc(N)cc1Cl']; ['O=C(Cl)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'COC(=O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', None, 'NC(=O)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'O=C(Br)c1ccccc1', 'CN(C)c1ccc(N)cc1Cl', 'O=C(Cl)c1ccccc1', 'O=Cc1ccccc1']; [0.9998007416725159, 0.9995994567871094, 0.9993596076965332, 0.998654305934906, 0.9977136850357056, 0.9976061582565308, 0, 0.9968114495277405, 0.9949014186859131, 0.9947576522827148, 0.9932723641395569, 0.9727744460105896, 0.9687455296516418]
+O=C(Nc1ccc(Br)cc1)c1ccccc1; ['Nc1ccc(Br)cc1', 'Ic1ccccc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', None, 'Ic1ccccc1', 'Brc1ccc(I)cc1', 'COC(=O)c1ccccc1', 'Nc1ccc(Br)cc1', 'Brc1ccccc1', 'Brc1ccccc1', 'Nc1ccc(Br)cc1', 'Brc1ccc(Br)cc1', 'NC(=O)c1ccccc1', 'Brc1ccc(I)cc1', 'C(#Cc1ccccc1)c1ccccc1', 'O=C=Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Brc1ccc(I)cc1', 'O=C=Nc1ccc(Br)cc1', None, 'O=C=Nc1ccc(Br)cc1', 'Brc1ccccc1', 'C[Sn](C)(C)c1ccccc1', 'Ic1ccccc1', 'Brc1ccccc1', 'CCCC[Sn](CCCC)(CCCC)c1ccccc1', 'CO[Si](OC)(OC)c1ccc(Br)cc1', 'CCOC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'Brc1ccccc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'N#CC(=O)c1ccccc1', 'Nc1ccc(Br)cc1', None, 'NC(=O)c1ccccc1', 'NNC(=O)c1ccccc1', 'C=CCOC(=O)c1ccccc1', 'Brc1ccc(Br)cc1', 'CC(=O)Nc1ccc(Br)cc1', 'O=C(O)c1ccccc1', 'Nc1ccc(Br)cc1', 'CN(C)C(=O)c1ccccc1', 'Brc1ccc(-n2cnnn2)cc1']; ['O=C(Cl)c1ccccc1', 'Nc1ccc(Br)cc1', 'O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(c1ccccc1)n1ccnc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', None, 'O=C=Nc1ccc(Br)cc1', 'N#Cc1ccccc1', 'Nc1ccc(Br)cc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'Nc1ccc(Br)cc1', 'O=C(O)c1ccccc1', 'N#Cc1ccccc1', 'O=S(=O)(Oc1ccc(Br)cc1)C(F)(F)F', 'NC(=O)c1ccccc1', 'Nc1ccc(Br)cc1', 'c1ccc(B2OCCCO2)cc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'NCc1ccccc1', 'c1ccccc1', None, 'OB(O)c1ccccc1', 'N#Cc1ccccc1', 'O=C=Nc1ccc(Br)cc1', 'O=CNc1ccc(Br)cc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'O=C=Nc1ccc(Br)cc1', 'NC(=O)c1ccccc1', 'Nc1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'O=[N+]([O-])c1ccc(Br)cc1', 'O=C=Nc1ccc(Br)cc1', 'O=C=Nc1ccc(Br)cc1', 'O=C(F)c1ccccc1', 'O=C(Br)c1ccccc1', 'Nc1ccc(Br)cc1', 'O=C(O)C(=O)c1ccccc1', None, 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=[N+]([O-])c1ccc(Br)cc1', 'O=Cc1ccccc1', 'Nc1ccc(Br)cc1', 'O=Cc1ccccc1']; [0.9998467564582825, 0.9997671842575073, 0.9996300935745239, 0.9994306564331055, 0.9993000626564026, 0, 0.9989639520645142, 0.9989446401596069, 0.9984921216964722, 0.9984041452407837, 0.9980587363243103, 0.9974702596664429, 0.9974672198295593, 0.9974615573883057, 0.9955927729606628, 0.995378851890564, 0.9951620101928711, 0.9946572780609131, 0.9942272901535034, 0.9937483072280884, 0.9936935901641846, 0, 0.9936045408248901, 0.9935799837112427, 0.9934468269348145, 0.992533802986145, 0.9921234250068665, 0.9919105172157288, 0.9916515350341797, 0.991316556930542, 0.990601658821106, 0.9866188764572144, 0.9818727374076843, 0.9803133606910706, 0.9778367877006531, 0.9727945327758789, 0.9702000617980957, 0.9597199559211731, 0, 0.949900209903717, 0.911376953125, 0.8886958360671997, 0.8872451782226562, 0.8610366582870483, 0.8606919050216675, 0.8416974544525146, 0.8207510709762573, 0.7839613556861877]
+Cc1c(NC(=O)c2ccccc2)cccc1C(=O)[O-]; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)c2ccccc2)c(C)c1; [None]; [None]; [0]
+COc1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(NC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+O=C(Nc1c[nH]c2ccccc12)c1ccccc1; ['Nc1c[nH]c2ccccc12', 'O=c1onc(-c2ccccc2)o1', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'O=C=Nc1c[nH]c2ccccc12', 'N#CC(=O)c1ccccc1', None, 'Brc1ccccc1', 'COC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['O=C(c1ccccc1)n1ccnc1', 'c1ccc2[nH]ccc2c1', 'O=C(Cl)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Oc1c(F)c(F)c(F)c(F)c1F)c1ccccc1', 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'O=C(O)c1ccccc1', 'c1ccccc1', 'Nc1c[nH]c2ccccc12', None, 'O=C=Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'O=[N+]([O-])c1c[nH]c2ccccc12', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9983377456665039, 0.9981783628463745, 0.996021032333374, 0.9959414005279541, 0.9947401285171509, 0.9927708506584167, 0.9920909404754639, 0.9899516105651855, 0.9752999544143677, 0.9736465215682983, 0, 0.9614298343658447, 0.954864501953125, 0.9427962303161621, 0.935032844543457, 0.933099627494812, 0.9099153876304626, 0.7816068530082703, 0.7765756845474243]
+COc1cc(OC)c(NC(=O)c2ccccc2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', None, 'Brc1ccccc1', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'CCOC(=O)c1ccccc1', 'COC(=O)c1ccccc1', 'COc1cc(OC)c([N+](=O)[O-])cc1Cl', 'COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Cl)cc1N']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', None, 'COc1cc(OC)c(N=C=O)cc1Cl', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'O=Cc1ccccc1']; [0.999332070350647, 0.9975482225418091, 0, 0.9958055019378662, 0.9955717325210571, 0.9947694540023804, 0.990940511226654, 0.9873644113540649, 0.9635307192802429, 0.9260892868041992, 0.826388955116272]
+O=C(Nc1cc(-c2ccccc2)[nH]n1)c1ccccc1; ['Nc1cc(-c2ccccc2)[nH]n1', 'Nc1cc(-c2ccccc2)[nH]n1', 'Nc1cc(-c2ccccc2)[nH]n1', 'COC(=O)c1ccccc1']; ['O=C(O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'Nc1cc(-c2ccccc2)[nH]n1']; [0.9937306642532349, 0.9899557828903198, 0.9856903553009033, 0.8614708185195923]
+COc1ccc(Cl)cc1NC(=O)c1ccccc1; ['COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'Brc1ccccc1', 'COc1ccc(Cl)cc1N=C=O', None, 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'CCOC(=O)c1ccccc1', 'COc1ccc(Cl)cc1[N+](=O)[O-]', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1N', 'Brc1ccccc1', 'COc1ccc(Cl)cc1N=C=O', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1N=C=O', 'COC(=O)c1ccccc1', 'COc1ccc(Cl)cc1N=C=O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'C=CCOC(=O)c1ccccc1', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'CN(C)C(=O)c1ccccc1', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1[N+](=O)[O-]', 'COc1ccc(Cl)cc1', 'COc1ccc(Cl)cc1N']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'N#Cc1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(Cl)c1ccccc1', 'COc1ccc(Cl)cc1N', 'c1ccc(B2OCCCO2)cc1', None, 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'COc1ccc(Cl)cc1N', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(F)c1ccccc1', 'COc1ccc(Cl)cc1N=C=O', 'C[Sn](C)(C)c1ccccc1', 'NCc1ccccc1', 'Ic1ccccc1', 'COc1ccc(Cl)cc1N', 'c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Br)c1ccccc1', 'COc1ccc(Cl)cc1N', 'O=C(O)C(=O)c1ccccc1', 'N#CC(=O)c1ccccc1', 'COc1ccc(Cl)cc1N', 'O=Cc1ccccc1', 'NNC(=O)c1ccccc1', 'O=Cc1ccccc1', 'N#Cc1ccccc1', 'OCc1ccccc1']; [0.9999210834503174, 0.9996577501296997, 0.9996194839477539, 0.9993626475334167, 0.9992915391921997, 0.9991893768310547, 0, 0.9990230798721313, 0.9990048408508301, 0.998436450958252, 0.998233437538147, 0.9980236291885376, 0.9979450106620789, 0.997725248336792, 0.997320830821991, 0.9973113536834717, 0.9972411394119263, 0.9969154596328735, 0.9965770244598389, 0.995851457118988, 0.9947375059127808, 0.993956983089447, 0.9924116134643555, 0.9893958568572998, 0.9862856268882751, 0.9855702519416809, 0.9795690774917603, 0.979255199432373, 0.9790943264961243, 0.9627561569213867, 0.9472717642784119, 0.9256348609924316, 0.9222567081451416, 0.9213563203811646, 0.8943526744842529]
+O=C(Nc1ccc2c(c1)CCO2)c1ccccc1; ['Ic1ccccc1', 'Brc1ccccc1', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'COC(=O)c1ccccc1', 'Brc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'CCOC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'Brc1ccccc1', 'N#Cc1ccccc1', 'Nc1ccc2c(c1)CCO2', 'NNC(=O)c1ccccc1', 'Clc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'O=C(Cl)c1ccccc1']; ['Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'NC(=O)c1ccccc1', 'Nc1ccc2c(c1)CCO2', 'NC(=O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'O=C=Nc1ccc2c(c1)CCO2', 'c1ccc2c(c1)CCO2', 'OCc1ccccc1', 'Nc1ccc2c(c1)CCO2', 'NC(=O)c1ccccc1', 'O=Cc1ccccc1', 'O=[N+]([O-])c1ccc2c(c1)CCO2']; [0.9998154640197754, 0.9997907280921936, 0.9996613264083862, 0.9996559619903564, 0.9995962381362915, 0.9994521141052246, 0.9993162155151367, 0.9992365837097168, 0.9990234375, 0.9985368847846985, 0.9983806610107422, 0.9983322620391846, 0.9980299472808838, 0.982513427734375, 0.9796340465545654, 0.9713488221168518, 0.961933970451355, 0.9419534206390381, 0.9404265284538269]
+O=C(Nc1ccccc1-n1cccn1)c1ccccc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(NC(=O)c2ccccc2)c1; ['CC(=O)Nc1cccc(N)c1', 'CC(=O)Cl', 'CC(=O)Nc1cccc(N)c1', None, 'CC(=O)OC(C)=O', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(N)=O', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)n1ccnc1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(NC(C)=O)c1', 'CC(=O)O', 'CC(=O)Br', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Cl', 'CC(N)=O', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc([N+](=O)[O-])c1', 'CC(=O)NN']; ['O=C(c1ccccc1)n1ccnc1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'O=C(Cl)c1ccccc1', None, 'Nc1cccc(NC(=O)c2ccccc2)c1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'NC(=O)c1ccccc1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'COC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(F)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccccc1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'N#Cc1ccccc1', 'O=C(Nc1cccc([N+](=O)[O-])c1)c1ccccc1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'O=C(Br)c1ccccc1', 'O=C(Cl)c1ccccc1', 'Nc1cccc(NC(=O)c2ccccc2)c1']; [0.9990934133529663, 0.9937304258346558, 0.9927632808685303, 0, 0.9871755838394165, 0.985650897026062, 0.9842112064361572, 0.9823774099349976, 0.9802398085594177, 0.9755043387413025, 0.9654315710067749, 0.965263307094574, 0.9550322890281677, 0.9491068124771118, 0.9380974769592285, 0.9363762736320496, 0.9275327920913696, 0.9271237254142761, 0.9262130260467529, 0.9192670583724976, 0.8786357045173645, 0.8610206842422485, 0.852638304233551, 0.8156025409698486, 0.8155566453933716]
+COc1cc(C(=O)N2CCOCC2)ccc1NC(=O)c1ccccc1; ['COc1cc(C(=O)N2CCOCC2)ccc1N', None, 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'CCOC(=O)c1ccccc1', 'Brc1ccccc1', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'COC(=O)c1ccccc1', 'COc1cc(C(=O)N2CCOCC2)ccc1N']; ['O=C(Cl)c1ccccc1', None, 'O=C(O)c1ccccc1', 'O=C(Oc1c(F)c(F)c(F)c(F)c1F)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'O=C([O-])c1ccccc1', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'O=Cc1ccccc1']; [0.9999653100967407, 0, 0.9995973110198975, 0.9995856881141663, 0.9993234872817993, 0.9987051486968994, 0.9972623586654663, 0.9970375299453735, 0.9963065385818481, 0.9551628828048706]
+O=C(NCc1nc2c(F)c(F)ccc2[nH]1)c1ccccc1; ['Nc1ccc(F)c(F)c1N']; ['O=C(O)CNC(=O)c1ccccc1']; [0.9998055100440979]
 CC(C)c1ccc2nc(NC(=O)c3ccccc3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1NC(=O)c1ccccc1; [None]; [None]; [0]
-Nc1cc(NC(=O)c2ccccc2)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccccc2)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', None, 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O', 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1', 'COc1cc(N)ccc1O', 'CO', 'CN(C)C(=O)c1ccccc1', 'COc1cc([N+](=O)[O-])ccc1O', 'COc1ccccc1O', 'COc1cc(I)ccc1O']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', None, 'O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'NC(=O)c1ccccc1', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'NC(=O)c1ccccc1', 'O=C(Nc1ccc(O)cc1)c1ccccc1', 'COc1cc(N)ccc1O', 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9999493956565857, 0.9991388320922852, 0.9972425699234009, 0.9967547655105591, 0, 0.9899872541427612, 0.9838089346885681, 0.9817702770233154, 0.978020191192627, 0.967255711555481, 0.9262478947639465, 0.8888131976127625, 0.8634293675422668, 0.8606173396110535, 0.8574160933494568, 0.8182042837142944]
+O=C(NCc1nc2ccc(F)c(F)c2[nH]1)c1ccccc1; ['Nc1ccc(F)c(F)c1N', 'CCOC(=O)CNC(=O)c1ccccc1']; ['O=C(O)CNC(=O)c1ccccc1', 'Nc1ccc(F)c(F)c1N']; [0.9993455410003662, 0.9993217587471008]
+O=C(Nc1cnc2ccccc2c1)c1ccccc1; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'O=c1onc(-c2ccccc2)o1', 'COC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'Clc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['O=C(Cl)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1', 'c1ccc2ncccc2c1', 'Nc1cnc2ccccc2c1', 'O=[N+]([O-])c1cnc2ccccc2c1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9999476075172424, 0.9993034601211548, 0.9988096952438354, 0.996994137763977, 0.9969599843025208, 0.9958333969116211, 0.9924472570419312, 0.9754436016082764, 0.9735116362571716]
+CC(C)(C)c1ccc(NC(=O)c2ccccc2)cn1; ['CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['O=C(Cl)c1ccccc1', 'COC(=O)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'NC(=O)c1ccccc1']; [0.9999589323997498, 0.99979567527771, 0.9992870688438416, 0.9990444183349609, 0.9974360466003418]
+Nc1nc(NC(=O)c2ccccc2)cs1; ['Nc1csc(N)n1', 'Nc1csc(N)n1']; ['O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1']; [0.9876919984817505, 0.9790726900100708]
+CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccccc2)CC1; [None]; [None]; [0]
+O=C(NCc1nc2ccccc2[nH]1)c1ccccc1; ['Nc1ccccc1N', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'ClCc1nc2ccccc2[nH]1', 'CCOC(=O)c1ccccc1', 'COC(=O)c1ccccc1', 'NCc1nc2ccccc2[nH]1', 'CC(C)(C)OC(=O)NCc1nc2ccccc2[nH]1']; ['O=C(O)CNC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(ON1C(=O)CCC1=O)c1ccccc1', 'NC(=O)c1ccccc1', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'O=C([O-])c1ccccc1', 'O=C(O)c1ccccc1']; [0.9997572898864746, 0.9991469383239746, 0.9985600709915161, 0.998382031917572, 0.9982209801673889, 0.988589346408844, 0.9868022203445435, 0.9731262922286987, 0.9578792452812195, 0.9420866370201111]
+O=C(Nc1cccc2c1OCO2)c1ccccc1; [None]; [None]; [0]
+COc1cccc(C(=O)NNC(=O)c2ccccc2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)NN)c1', 'COc1cccc(C(=O)NN)c1', 'COc1cccc(C(=O)O)c1']; ['NNC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'NNC(=O)c1ccccc1']; [0.9958382844924927, 0.9931640625, 0.9779635071754456, 0.9545363187789917]
+O=C(Nc1scc2c1OCCO2)c1ccccc1; [None]; [None]; [0]
+O=C(Nc1ccn(-c2cccc(Cl)c2)n1)c1ccccc1; [None]; [None]; [0]
+Cc1ccc(NC(=O)c2ccccc2)c(=O)[nH]1; ['Cc1cccc(=O)[nH]1', 'Cc1ccc(N)c(=O)[nH]1', 'Cc1ccc(N)c(=O)[nH]1', 'CCOC(=O)c1ccccc1', 'Cc1ccc(N)c(=O)[nH]1', 'Cc1ccc(N)c(=O)[nH]1', 'COC(=O)c1ccccc1']; ['O=c1onc(-c2ccccc2)o1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Cl)c1ccccc1', 'Cc1ccc(N)c(=O)[nH]1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'Cc1ccc(N)c(=O)[nH]1']; [0.9992091655731201, 0.9906315803527832, 0.9899346828460693, 0.9815893173217773, 0.9677611589431763, 0.9543811082839966, 0.9530118703842163]
+O=C(Nc1cc2ccccc2s1)c1ccccc1; ['Nc1cc2ccccc2s1', 'Nc1cc2ccccc2s1', 'Brc1cc2ccccc2s1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9998592138290405, 0.9984273910522461, 0.8533871173858643]
+CN(C)C(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CCOC(=O)c1ccccc1', 'CN(C)S(=O)(=O)n1ccnc1', 'CNC', 'CNC', 'CN(C)C(=O)c1ccccc1', 'CN(C)S(=O)(=O)Cl', 'CN(C)C(=O)c1ccc([N+](=O)[O-])cc1', 'CN(C)C=O', 'CN(C)C(=O)c1ccc(I)cc1', 'CC(=O)N(C)C', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)Cl', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)Cl']; ['O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'COC(=O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'CN(C)C(=O)c1ccc(N)cc1', 'O=C(O)c1ccc(NC(=O)c2ccccc2)cc1', 'O=C(O)c1ccc(NC(=O)c2ccccc2)cc1', 'COC(=O)c1ccc(NC(=O)c2ccccc2)cc1', 'O=c1onc(-c2ccccc2)o1', 'O=C(O)c1ccc(NC(=O)c2ccccc2)cc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccc(NC(=O)c2ccccc2)cc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccc(NC(=O)c2ccccc2)cc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Nc1ccc(Br)cc1)c1ccccc1', 'O=Cc1ccccc1', 'O=C(Nc1ccccc1)c1ccccc1']; [0.9995858669281006, 0.9995476007461548, 0.9995380640029907, 0.9993751049041748, 0.9993734359741211, 0.9991570711135864, 0.9984382390975952, 0.99653160572052, 0.9960261583328247, 0.9954166412353516, 0.9858051538467407, 0.9727212190628052, 0.9710265398025513, 0.9700011014938354, 0.960705041885376, 0.9564656019210815, 0.9496527910232544, 0.9476426839828491, 0.9392063617706299, 0.8621492385864258, 0.7645267248153687]
+CC(C)(C)c1ccc(NC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+Cc1cc(NC(=O)c2ccccc2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1', 'Cc1cc(N)nc(N)n1', 'Cc1cc(Br)nc(N)n1', 'Cc1cc(N)nc(N)n1', 'Cc1cc(N)nc(N)n1']; ['NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1']; [0.9958101511001587, 0.9955153465270996, 0.9875595569610596, 0.9287717342376709, 0.8757893443107605]
+O=C(Nc1ncc(Br)cn1)c1ccccc1; ['Nc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1']; ['O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9998868703842163, 0.9985935688018799, 0.9936398267745972]
+O=C(NCCCc1ccccc1)c1ccccc1; ['NCCCc1ccccc1', None, 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'ClCc1ccccc1', 'NCCCc1ccccc1', 'Clc1ccccc1', 'Cc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'Brc1ccccc1', None, 'NCCCc1ccccc1', 'Ic1ccccc1', 'N#Cc1ccccc1', 'BrCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'CCOC(=O)c1ccccc1', 'CC(C)(C)OOC(=O)c1ccccc1', 'C=COC(=O)c1ccccc1', 'NCCCc1ccccc1', 'NC(=O)c1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'N#CC(=O)c1ccccc1', 'CC(C)(C)OC(=O)c1ccccc1', 'COC(=O)c1ccccc1', 'NCCCc1ccccc1', 'NC(=O)c1ccccc1', 'N#CCCc1ccccc1', 'NCCCc1ccccc1', 'CC1(C)OB(CCCc2ccccc2)OC1(C)C', 'O=C=NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'CC(=O)c1ccccc1', 'CN(C)C(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; ['O=C(c1ccccc1)n1nnc2ccccc21', None, 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'NCCCc1ccccc1', 'O=C(ON1C(=O)CCC1=O)c1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(Oc1c(F)c(F)c(F)c(F)c1F)c1ccccc1', 'OCc1ccccc1', 'NCCCc1ccccc1', None, 'O=C(O)c1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NC(=O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(F)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'O=C(Br)c1ccccc1', 'OB(O)CCCc1ccccc1', 'O=C(c1ccccc1)N1CCSC1=S', 'O=C([O-])c1ccccc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'O=C(S)c1ccccc1', 'NCCCc1ccccc1', 'O=C(Cl)c1ccccc1', 'NNC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'c1ccccc1', 'O=Cc1ccccc1', 'O=C(OCc1ccccc1)c1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'OCCCc1ccccc1', 'O=CCCc1ccccc1']; [0.9999897480010986, 0, 0.9997339844703674, 0.9996384978294373, 0.9994690418243408, 0.9994219541549683, 0.9992913007736206, 0.999282717704773, 0.9992388486862183, 0.9991570711135864, 0.9986751079559326, 0.9983921051025391, 0, 0.9980208277702332, 0.9979433417320251, 0.9963191747665405, 0.9955410957336426, 0.9952682256698608, 0.9952453374862671, 0.9946492910385132, 0.9934955835342407, 0.9934453368186951, 0.9929629564285278, 0.9925059080123901, 0.9923294186592102, 0.9922503232955933, 0.9899959564208984, 0.9890170097351074, 0.9887073040008545, 0.9885945320129395, 0.9878878593444824, 0.9848098754882812, 0.9814668893814087, 0.9745132327079773, 0.9741125106811523, 0.9741019010543823, 0.9672733545303345, 0.9663534164428711, 0.9497193098068237, 0.9400151371955872, 0.9295045137405396, 0.9219033122062683, 0.8817957043647766]
+CCN1CCN(Cc2ccc(NC(=O)c3ccccc3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1', None, 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', None, 'CCN1CCN(Cc2ccc(N)cc2)CC1']; ['O=C(OC(=O)c1ccccc1)c1ccccc1', None, 'COC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(Br)c1ccccc1', None, 'O=Cc1ccccc1']; [0.9993901252746582, 0, 0.9981538653373718, 0.9981297850608826, 0.9977796673774719, 0.9967793226242065, 0.9950008392333984, 0.982421338558197, 0, 0.9359524250030518]
+CC[C@@H](CO)NC(=O)c1ccccc1; ['CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CCOC(=O)c1ccccc1', 'CC(C)(C)OOC(=O)c1ccccc1', 'CC[C@H](N)CO', 'C=COC(=O)c1ccccc1', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@@H](CO)NC(C)=O']; ['O=C(O)c1ccccc1', 'N#Cc1ccccc1', 'O=C(Cl)c1ccccc1', 'Cc1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'COC(=O)c1ccccc1', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'O=C(S)c1ccccc1', 'CC[C@H](N)CO', 'ClCc1ccccc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(c1ccccc1)N1CCSC1=S', 'N#CC(=O)c1ccccc1', 'O=Cc1ccccc1', 'OCc1ccccc1', 'O=C(OCc1ccccc1)c1ccccc1', 'O=C(Cl)c1ccccc1']; [0.999945878982544, 0.9999364614486694, 0.9999237656593323, 0.9999226331710815, 0.9994702935218811, 0.9992380142211914, 0.9992293119430542, 0.9990631341934204, 0.9987103343009949, 0.9981716275215149, 0.9980472326278687, 0.9974960088729858, 0.9966387748718262, 0.9965642690658569, 0.9952332973480225, 0.9950479865074158, 0.9921959042549133, 0.9892247915267944, 0.9847832918167114, 0.7913597822189331]
+O=C1CCc2cc(NC(=O)c3ccccc3)ccc2N1; ['Ic1ccccc1', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'COC(=O)c1ccccc1', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'NC(=O)c1ccccc1', 'N#Cc1ccccc1', 'NC(=O)c1ccccc1', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C(Cl)c1ccccc1']; ['Nc1ccc2c(c1)CCC(=O)N2', 'O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C(O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2ccccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'O=Cc1ccccc1', 'O=C1CCc2cc([N+](=O)[O-])ccc2N1']; [0.9990018606185913, 0.9988308548927307, 0.9981085062026978, 0.9978255033493042, 0.9973984360694885, 0.9957274198532104, 0.9953038096427917, 0.9875591993331909, 0.9832450747489929, 0.9666122198104858, 0.8626428842544556, 0.7884787321090698]
+CSc1ccc(NC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(F)cc1Cl)c1ccccc1; ['Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'Fc1cccc(Cl)c1', 'COC(=O)c1ccccc1', 'Ic1ccccc1', 'CCOC(=O)c1ccccc1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'C=CCOC(=O)c1ccccc1', 'Nc1ccc(F)cc1Cl', 'C(#Cc1ccccc1)c1ccccc1', 'Fc1ccc(I)c(Cl)c1', None, 'Nc1ccc(F)cc1Cl', 'O=C(Cl)c1ccccc1', 'Fc1ccc(I)c(Cl)c1', 'N#CC(=O)c1ccccc1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'NC(=O)c1ccccc1', 'CC(=O)Nc1ccc(F)cc1Cl']; ['O=C(Cl)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'N#Cc1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'O=C(O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'Nc1ccc(F)cc1Cl', 'O=C(F)c1ccccc1', 'Nc1ccc(F)cc1Cl', 'N#Cc1ccccc1', None, 'O=C(Br)c1ccccc1', 'O=[N+]([O-])c1ccc(F)cc1Cl', 'NCc1ccccc1', 'Nc1ccc(F)cc1Cl', 'O=C(O)C(=O)c1ccccc1', 'O=Cc1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'Nc1ccc(F)cc1Cl', 'Cc1ccccc1']; [0.9990875720977783, 0.9987480044364929, 0.9985595941543579, 0.9985065460205078, 0.9963370561599731, 0.9961180686950684, 0.9959729313850403, 0.995417058467865, 0.9951326251029968, 0.9922101497650146, 0.9901843070983887, 0.9898685216903687, 0.9897336959838867, 0.9876788258552551, 0, 0.9734021425247192, 0.9579061269760132, 0.9523931741714478, 0.9480082988739014, 0.9362529516220093, 0.9332037568092346, 0.9184864163398743, 0.8850418925285339, 0.8717100620269775, 0.8189151883125305]
+O=C(NCCCn1cncn1)c1ccccc1; ['NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1', 'COC(=O)c1ccccc1']; ['O=C(ON1C(=O)CCC1=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(Oc1c(F)c(F)c(F)c(F)c1F)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'NCCCn1cncn1']; [0.9997772574424744, 0.9997092485427856, 0.9994598627090454, 0.9988280534744263, 0.9987374544143677, 0.9976855516433716]
+O=C(N[C@H](CO)Cc1ccccc1)c1ccccc1; ['N[C@H](CO)Cc1ccccc1', 'NC(CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'ClCc1ccccc1', 'N#Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'CCOC(=O)c1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'CC(C)(C)OOC(=O)c1ccccc1', 'COC(=O)c1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'NC(=O)c1ccccc1', 'C=COC(=O)c1ccccc1', 'N#CC(=O)c1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'CC(=O)N[C@H](CO)Cc1ccccc1']; ['O=C(O)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'OCc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'O=C(S)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'O=Cc1ccccc1', 'O=C(Cl)c1ccccc1']; [0.999981701374054, 0.999981701374054, 0.9999516010284424, 0.9998794794082642, 0.9998631477355957, 0.9994547367095947, 0.9994019269943237, 0.9993789196014404, 0.9993628263473511, 0.999154806137085, 0.9989721775054932, 0.9988579750061035, 0.9983744621276855, 0.9978874921798706, 0.9978559613227844, 0.9965925216674805, 0.9963568449020386, 0.9959813356399536, 0.9855419993400574, 0.7809640765190125]
+C[C@H]1CCCN1C(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['C[C@H]1CCCN1', 'C[C@H]1CCCN1C(=O)OC(C)(C)C']; ['O=C(O)c1ccc(NC(=O)c2ccccc2)cc1', 'O=C(O)c1ccc(NC(=O)c2ccccc2)cc1']; [0.9976922273635864, 0.9569191932678223]
+O=C(Nc1cc2ccccn2n1)c1ccccc1; ['Nc1cc2ccccn2n1', 'O=c1onc(-c2ccccc2)o1', 'Nc1cc2ccccn2n1', '[N-]=[N+]=NC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'c1ccn2nccc2c1', 'O=C(O)c1ccccc1', 'c1ccn2nccc2c1']; [0.9996795654296875, 0.9976582527160645, 0.9963557720184326, 0.8014353513717651]
+O=C(Nc1ncc2cccn2n1)c1ccccc1; [None]; [None]; [0]
+COc1ccc(NC(=O)c2ccccc2)cc1OC; ['COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccccc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', None, 'COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccccc1OC', 'C(#Cc1ccccc1)c1ccccc1', 'COc1ccc(N)cc1OC', 'Brc1ccccc1', 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N=C=O)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(N=C=O)cc1OC', 'COc1ccc(N=C=O)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(N=C=O)cc1OC', 'COc1ccc(N=C=O)cc1OC', 'COc1ccc([N+](=O)[O-])cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc([N+](=O)[O-])cc1OC', 'COc1ccc(N=C=O)cc1OC', 'CCCC[Sn](CCCC)(CCCC)c1ccccc1', 'Brc1ccccc1', 'C=CCOC(=O)c1ccccc1', 'COc1ccc(I)cc1OC', 'COc1ccc(N)cc1OC', 'CN(C)C(=O)c1ccccc1']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(c1ccccc1)n1ccnc1', 'O=c1onc(-c2ccccc2)o1', 'NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', None, 'N#Cc1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'N#Cc1ccccc1', 'COc1ccc(N)cc1OC', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'Ic1ccccc1', 'O=C(F)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Br)c1ccccc1', 'c1ccc(B2OCCCO2)cc1', 'N#CC(=O)c1ccccc1', 'N#Cc1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccccc1', 'c1ccccc1', 'NC(=O)c1ccccc1', 'OB(O)c1ccccc1', 'C[Sn](C)(C)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(O)C(=O)c1ccccc1', 'O=C(O)c1ccccc1', 'Ic1ccccc1', 'COc1ccc(N=C=O)cc1OC', 'COc1ccc(N=C=O)cc1OC', 'COc1ccc(N)cc1OC', 'NCc1ccccc1', 'NNC(=O)c1ccccc1', 'COc1ccc(N)cc1OC']; [0.9999841451644897, 0.9998201131820679, 0.9997234344482422, 0.9994637966156006, 0.9993865489959717, 0.9991408586502075, 0, 0.9990713596343994, 0.9988133311271667, 0.9987090826034546, 0.9980796575546265, 0.9969185590744019, 0.9969158172607422, 0.9967312812805176, 0.9966273307800293, 0.9953281879425049, 0.9947291612625122, 0.9935690760612488, 0.9913249015808105, 0.985870361328125, 0.9837382435798645, 0.9814845323562622, 0.9796411991119385, 0.9770179986953735, 0.9748117923736572, 0.9741895198822021, 0.9734551906585693, 0.9714483022689819, 0.9693635702133179, 0.967816174030304, 0.9577596187591553, 0.9533048272132874, 0.9527513980865479, 0.9515010714530945, 0.9167861938476562, 0.902682363986969, 0.9013252258300781, 0.8676173090934753, 0.8673952221870422]
+Cn1cc(NC(=O)c2ccccc2)c(C(F)(F)F)n1; ['Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(Cl)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; ['O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'NC(=O)c1ccccc1']; [0.9991136193275452, 0.9974468946456909, 0.9971373081207275, 0.9942797422409058, 0.9671562910079956, 0.9177889823913574]
+CCc1ccc(NC(=O)c2ccccc2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(Br)cc1', 'Brc1ccccc1', 'CCc1ccc(N)cc1', None, 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(N=C=O)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(N=C=O)cc1', 'C(#Cc1ccccc1)c1ccccc1', 'CCc1ccc(N=C=O)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(N)cc1', 'CCc1ccccc1', 'Brc1ccccc1', 'CCc1ccc(N=[N+]=[N-])cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N=C=O)cc1', 'CCOC(=O)c1ccccc1', 'CCc1ccc(Br)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccccc1', 'CCc1ccc(N=[N+]=[N-])cc1', 'CCc1ccc(N=C=O)cc1', 'CCc1ccc(N)cc1', 'C=CCOC(=O)c1ccccc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccccc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N=[N+]=[N-])cc1', 'CCc1ccc([N+](=O)[O-])cc1', 'CCc1ccc(Cl)cc1', 'CCc1ccc([N+](=O)[O-])cc1']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'Ic1ccccc1', 'O=C(Cl)c1ccccc1', 'N#Cc1ccccc1', 'CCc1ccc(N)cc1', 'COC(=O)c1ccccc1', None, 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'N#Cc1ccccc1', 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1', 'c1ccc(B2OCCCO2)cc1', 'NCc1ccccc1', 'OB(O)c1ccccc1', 'CCc1ccc(N)cc1', 'Ic1ccccc1', 'NC(=O)c1ccccc1', 'O=C(F)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'CCc1ccc(N=C=O)cc1', 'O=Cc1ccccc1', 'O=C(Br)c1ccccc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'C[Sn](C)(C)c1ccccc1', 'CCc1ccc(N)cc1', 'NC(=O)c1ccccc1', 'CCc1ccc(N=C=O)cc1', 'OCc1ccccc1', 'c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'CCc1ccc(N)cc1', 'O=C(O)C(=O)c1ccccc1', 'N#CC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'N#Cc1ccccc1', 'O=Cc1ccccc1', 'O=C(c1ccccc1)N1CCSC1=S', 'CN(C)C(=O)c1ccccc1', 'OCc1ccccc1', 'O=C(S)c1ccccc1', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccccc1']; [0.9997075796127319, 0.9990944266319275, 0.9989272952079773, 0.9984980821609497, 0.9981340765953064, 0.9981123805046082, 0, 0.9972729086875916, 0.9972241520881653, 0.9971307516098022, 0.9964103698730469, 0.9950507283210754, 0.9947130084037781, 0.9931260347366333, 0.9929050207138062, 0.9920387268066406, 0.9889829158782959, 0.9879388809204102, 0.9866387248039246, 0.9864302277565002, 0.9863234758377075, 0.9856023788452148, 0.9854715466499329, 0.9850872755050659, 0.9843513369560242, 0.984207272529602, 0.980948269367218, 0.9787663221359253, 0.9777853488922119, 0.9741359949111938, 0.97148597240448, 0.9693882465362549, 0.966355562210083, 0.9657735824584961, 0.965573251247406, 0.9627212285995483, 0.9542384743690491, 0.9523501396179199, 0.9462635517120361, 0.9402352571487427, 0.9284621477127075, 0.9232392907142639, 0.8860957622528076, 0.7652455568313599]
+COc1cc(NC(=O)c2ccccc2)ccc1N1CCOCC1; ['COc1cc(N)ccc1N1CCOCC1', None, 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'COC(=O)c1ccccc1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'CCOC(=O)c1ccccc1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1']; ['O=C(c1ccccc1)n1ccnc1', None, 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'COc1cc(N)ccc1N1CCOCC1', 'NC(=O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'COc1cc(N)ccc1N1CCOCC1', 'O=Cc1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1']; [0.9999685883522034, 0, 0.9996931552886963, 0.9995585680007935, 0.9990622997283936, 0.9988187551498413, 0.9987833499908447, 0.9978773593902588, 0.9962731599807739, 0.9952537417411804]
+O=C(Nc1ccc(Cl)cc1Cl)c1ccccc1; ['Clc1cccc(Cl)c1', 'O=C=Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'CCCC[Sn](CCCC)(CCCC)c1ccccc1', 'Clc1cccc(Cl)c1', 'O=C=Nc1ccc(Cl)cc1Cl', 'Ic1ccccc1', 'Brc1ccccc1', 'Brc1ccccc1', 'Nc1ccc(Cl)cc1Cl', 'C[Sn](C)(C)c1ccccc1', 'Clc1ccc(Br)c(Cl)c1', 'Nc1ccc(Cl)cc1Cl', 'O=C=Nc1ccc(Cl)cc1Cl', 'CCOC(=O)c1ccccc1', 'Clc1cccc(Cl)c1', 'COC(=O)c1ccccc1', 'Ic1ccccc1', 'Nc1ccc(Cl)cc1Cl', 'O=C(Cl)c1ccccc1', 'Clc1ccc(I)c(Cl)c1', 'Nc1ccc(Cl)cc1Cl', 'C=CCOC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'Nc1ccc(Cl)cc1Cl', None, 'Ic1ccccc1', 'O=C(O)c1ccccc1', 'Clc1ccc(I)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'Nc1ccc(Cl)cc1Cl', 'C(#Cc1ccccc1)c1ccccc1', 'Nc1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1', 'NC(=O)c1ccccc1', 'Clc1cccc(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1', 'N#CC(=O)c1ccccc1', 'Nc1ccc(Cl)cc1Cl', 'O=C(O)c1ccccc1', 'Nc1ccc(Cl)cc1Cl']; ['O=c1onc(-c2ccccc2)o1', 'OB(O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C=Nc1ccc(Cl)cc1Cl', 'N#Cc1ccccc1', 'c1ccc(B2OCCCO2)cc1', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'O=C=Nc1ccc(Cl)cc1Cl', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C=Nc1ccc(Cl)cc1Cl', 'N#Cc1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'c1ccccc1', 'Nc1ccc(Cl)cc1Cl', '[N-]=[N+]=NC(=O)c1ccccc1', 'Nc1ccc(Cl)cc1Cl', 'O=C=Nc1ccc(Cl)cc1Cl', 'O=C(c1ccccc1)n1ccnc1', 'O=[N+]([O-])c1ccc(Cl)cc1Cl', 'N#Cc1ccccc1', 'O=C(F)c1ccccc1', 'Nc1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'O=C(O)c1ccccc1', None, 'O=CNc1ccc(Cl)cc1Cl', 'O=C=Nc1ccc(Cl)cc1Cl', 'NC(=O)c1ccccc1', 'NCc1ccccc1', 'O=C(Br)c1ccccc1', 'Nc1ccc(Cl)cc1Cl', 'O=C(O)C(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'Nc1ccc(Cl)cc1Cl', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'Nc1ccc(Cl)cc1Cl', 'O=Cc1ccccc1', 'O=CNc1ccc(Cl)cc1Cl', 'OCc1ccccc1']; [0.9994022846221924, 0.9992299675941467, 0.9984697699546814, 0.9981508255004883, 0.997671365737915, 0.9972671270370483, 0.9969563484191895, 0.9967387914657593, 0.996552586555481, 0.9965420961380005, 0.9955229759216309, 0.994766116142273, 0.9940712451934814, 0.9922964572906494, 0.9918060302734375, 0.9914718866348267, 0.9912851452827454, 0.9862823486328125, 0.9846920371055603, 0.9815548658370972, 0.9795635938644409, 0.9773340225219727, 0.9771772027015686, 0.9750782251358032, 0.9731349945068359, 0, 0.962491512298584, 0.9571902751922607, 0.9553669691085815, 0.95152747631073, 0.9453715682029724, 0.9387479424476624, 0.910372793674469, 0.9100741147994995, 0.8964117765426636, 0.8768471479415894, 0.8696587085723877, 0.869286060333252, 0.8672479391098022, 0.8458863496780396, 0.8269811868667603]
+O=C(Nc1cccc2ccc(O)cc12)c1ccccc1; ['Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12', None, 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1', 'Nc1cccc2ccc(O)cc12', 'NC(=O)c1ccccc1', 'Nc1cccc2ccc(O)cc12', 'NC(=O)c1ccccc1', 'C=CCOC(=O)c1ccccc1', 'N#Cc1ccccc1', 'NNC(=O)c1ccccc1']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', None, 'Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12', 'O=C(F)c1ccccc1', 'Oc1ccc2cccc(I)c2c1', 'OCc1ccccc1', 'Oc1ccc2cccc(Br)c2c1', 'Nc1cccc2ccc(O)cc12', 'Oc1ccc2cccc(I)c2c1', 'Nc1cccc2ccc(O)cc12']; [0.998780369758606, 0.9980608820915222, 0.9937261343002319, 0.9931845664978027, 0.9923940300941467, 0, 0.9910944700241089, 0.9781401753425598, 0.9515290260314941, 0.936872661113739, 0.9308762550354004, 0.8949192762374878, 0.8884810209274292, 0.869944155216217, 0.8420218825340271]
+O=C(Nc1ncc(Cl)cn1)c1ccccc1; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1', 'Clc1cnc(I)nc1', 'Nc1ncc(Cl)cn1', 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1', 'Clc1cnc(Cl)nc1']; ['O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccccc1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1', 'NC(=O)c1ccccc1']; [0.999136745929718, 0.9990599751472473, 0.9982771277427673, 0.9969799518585205, 0.9907549619674683, 0.9867581129074097, 0.9743798971176147]
+Cc1csc2c(NC(=O)c3ccccc3)ncnc12; ['Cc1csc2c(Cl)ncnc12', 'Cc1csc2c(=O)[nH]cnc12']; ['NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9995182752609253, 0.9985746145248413]
+COc1cc(NC(=O)c2ccccc2)ccc1Cl; ['COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(N)ccc1Cl', None, 'COc1cc(N)ccc1Cl', 'COC(=O)c1ccccc1', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'CCOC(=O)c1ccccc1', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1ccccc1Cl', 'CN(C)C(=O)c1ccccc1', 'COc1cc([N+](=O)[O-])ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1ccccc1Cl']; ['O=C(c1ccccc1)n1ccnc1', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccccc1', None, 'O=C(Oc1ccccc1)c1ccccc1', 'COc1cc(N)ccc1Cl', 'O=C(Br)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'N#CC(=O)c1ccccc1', 'COc1cc(N)ccc1Cl', 'NC(=O)c1ccccc1', 'O=C(O)C(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'COc1cc(N)ccc1Cl', 'O=C(Cl)c1ccccc1', 'O=Cc1ccccc1', 'OCc1ccccc1', 'N#Cc1ccccc1']; [0.9997212886810303, 0.9994615316390991, 0.9987945556640625, 0.9987763166427612, 0, 0.998613715171814, 0.9963558316230774, 0.9958410263061523, 0.9946286678314209, 0.9938865900039673, 0.9920558333396912, 0.9910625219345093, 0.9907708168029785, 0.9871290326118469, 0.9815165996551514, 0.9766097068786621, 0.9374268054962158, 0.9004340171813965, 0.8168177604675293, 0.810286283493042]
+CC1(C)Cc2cc(NC(=O)c3ccccc3)ccc2O1; [None]; [None]; [0]
+COc1cc(F)c(NC(=O)c2ccccc2)cc1OC; ['COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', None, 'COc1cc(N)c(F)cc1OC', 'COc1ccc(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'C(#Cc1ccccc1)c1ccccc1', 'COc1cc(F)c([N+](=O)[O-])cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1', 'CN(C)C(=O)c1ccccc1', 'COc1cc(N)c(F)cc1OC', 'C=CCOC(=O)c1ccccc1', 'COc1cc(N)c(F)cc1OC']; ['O=C(c1ccccc1)n1ccnc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1', None, 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'N#CC(=O)c1ccccc1', 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'COc1cc(N)c(F)cc1OC', 'O=C(Cl)c1ccccc1', 'O=C(Br)c1ccccc1', 'O=C(F)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'N#Cc1ccccc1', 'NC(=O)c1ccccc1', 'O=Cc1ccccc1', 'COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'NC(=O)c1ccccc1', 'COc1cc(N)c(F)cc1OC', 'O=C(O)C(=O)c1ccccc1']; [0.9995335340499878, 0.9994512796401978, 0.9972226619720459, 0.9952843189239502, 0, 0.9946064949035645, 0.994229257106781, 0.9921934604644775, 0.9915277361869812, 0.9854916334152222, 0.9831029772758484, 0.980903685092926, 0.9786653518676758, 0.9765325784683228, 0.9713505506515503, 0.9482196569442749, 0.9431846141815186, 0.93352210521698, 0.9303337335586548, 0.9052702188491821, 0.9039368629455566, 0.8957915902137756, 0.8508744239807129]
+O=C(Nc1cnn(CCO)c1)c1ccccc1; ['Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'NC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'OCCn1cc(Br)cn1']; [0.999943733215332, 0.999596357345581, 0.9113259315490723]
+CCNC(=O)c1ccc(NC(=O)c2ccccc2)nc1; ['CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc[n+]([O-])c1', 'CCNC(=O)c1ccc(Cl)nc1']; ['NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9977717995643616, 0.9973616003990173, 0.992042064666748]
+CNC(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CCOC(=O)c1ccccc1', None, 'Brc1ccccc1', 'CNC(=O)c1ccc(Br)cc1', 'CN', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC=O', 'C(#Cc1ccccc1)c1ccccc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(I)cc1']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(c1ccccc1)n1ccnc1', 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'COC(=O)c1ccccc1', 'O=C(Oc1c(F)c(F)c(F)c(F)c1F)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'Ic1ccccc1', 'CNC(=O)c1ccc(N)cc1', None, 'CNC(=O)c1ccc(N)cc1', 'N#Cc1ccccc1', 'COC(=O)c1ccc(NC(=O)c2ccccc2)cc1', 'O=C(Br)c1ccccc1', 'N#Cc1ccccc1', 'O=C(Nc1ccc(I)cc1)c1ccccc1', 'CNC(=O)c1ccc(N)cc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9995438456535339, 0.9957519769668579, 0.98895263671875, 0.9849594831466675, 0.9842557907104492, 0.9837988615036011, 0.9750727415084839, 0.9742045402526855, 0.9683060646057129, 0.9660611152648926, 0.966039776802063, 0.9568114280700684, 0, 0.9472258687019348, 0.9352431297302246, 0.8620578050613403, 0.8441193103790283, 0.8433126211166382, 0.8380000591278076, 0.8168215751647949, 0.7658044099807739, 0.7533766031265259]
+CO[C@@H]1CC[C@@H](NC(=O)c2ccccc2)CC1; ['CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'COC(=O)c1ccccc1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(ON1C(=O)CCC1=O)c1ccccc1', 'CO[C@H]1CC[C@H](N)CC1', 'N#CC(=O)c1ccccc1', 'O=Cc1ccccc1']; [0.9997744560241699, 0.9991797208786011, 0.9951130151748657, 0.9934155941009521, 0.99186110496521, 0.9882038831710815, 0.9729260802268982]
+COc1ccc2cccc(NC(=O)c3ccccc3)c2c1; ['COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'Brc1ccccc1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2ccccc2c1', 'COc1ccc2cccc(N)c2c1', None, 'COc1ccc2cccc(N)c2c1', 'C(#Cc1ccccc1)c1ccccc1', 'CCOC(=O)c1ccccc1', 'COC(=O)c1ccccc1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2ccccc2c1', 'CN(C)C(=O)c1ccccc1', 'COc1ccc2cccc(N)c2c1', 'C=CCOC(=O)c1ccccc1', 'COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(c1ccccc1)n1ccnc1', 'O=C(Cl)c1ccccc1', 'COc1ccc2cccc(N)c2c1', 'O=C(O)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', None, 'Ic1ccccc1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(F)c1ccccc1', 'N#CC(=O)c1ccccc1', 'N#Cc1ccccc1', 'O=C(Br)c1ccccc1', '[N-]=[N+]=NC(=O)c1ccccc1', 'N#Cc1ccccc1', 'COc1ccc2cccc(N)c2c1', 'O=C(O)C(=O)c1ccccc1', 'COc1ccc2cccc(N)c2c1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'OCc1ccccc1', 'O=Cc1ccccc1']; [0.999835729598999, 0.9994767308235168, 0.9992481470108032, 0.9987730979919434, 0.9981076717376709, 0.9977118968963623, 0.996148407459259, 0, 0.9958175420761108, 0.994562029838562, 0.9943809509277344, 0.9942417144775391, 0.9928470253944397, 0.9908475279808044, 0.9878020882606506, 0.9868781566619873, 0.9831414818763733, 0.9709777235984802, 0.9489542841911316, 0.9474467635154724, 0.9440701603889465, 0.9401645064353943, 0.9349805116653442, 0.9067742228507996, 0.8982977867126465, 0.8207126259803772]
+CCNC(=O)N1CCC(NC(=O)c2ccccc2)CC1; [None, 'CCNC(=O)N1CCC(N)CC1', 'CCN=C=O', 'CCNC(=O)N1CCC(N)CC1', 'CCNC(=O)Oc1ccc([N+](=O)[O-])cc1', 'CCNC(=O)Oc1ccccc1', 'CCNC(=O)OC']; [None, 'O=C(O)c1ccccc1', 'O=C(NC1CCNCC1)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(NC1CCNCC1)c1ccccc1', 'O=C(NC1CCNCC1)c1ccccc1', 'O=C(NC1CCNCC1)c1ccccc1']; [0, 0.9995673298835754, 0.9990140199661255, 0.9975594282150269, 0.9942973852157593, 0.99399733543396, 0.9791730642318726]
+COc1cc(NC(=O)c2ccccc2)c(OC)cc1Br; ['COc1ccc(OC)c(Br)c1', 'COc1cc(I)c(OC)cc1Br', None, 'COc1ccc(OC)c(Br)c1', 'COc1cc([N+](=O)[O-])c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', None]; ['O=c1onc(-c2ccccc2)o1', 'NC(=O)c1ccccc1', None, 'N#Cc1ccccc1', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', None]; [0.9979062080383301, 0.9953033924102783, 0, 0.9787390232086182, 0.9773546457290649, 0.9708127975463867, 0.9589439630508423, 0]
+O=C(Nc1cccc(C(=O)Nc2cn[nH]c2)c1)c1ccccc1; ['Nc1cn[nH]c1']; ['O=C(O)c1cccc(NC(=O)c2ccccc2)c1']; [0.9698486328125]
+COc1ccc(OC)c(CNC(=O)c2ccccc2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1NC(=O)c1ccccc1; [None]; [None]; [0]
-O=C(Nc1cccc(C(=O)Nc2cn[nH]c2)c1)c1ccccc1; [None]; [None]; [0]
-COc1ccc2c(c1)c(NC(=O)c1ccccc1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NNC(=O)c2ccccc2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(NC(=O)c3ccccc3)[nH]c2c1; [None]; [None]; [0]
+CCn1cc(NC(=O)c2ccccc2)cn1; ['CCn1cc(N)cn1', 'CCn1cc(N)cn1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1']; [0.9995352029800415, 0.9783223271369934]
+O=C(Nc1ccc2cn[nH]c2c1)c1ccccc1; ['Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', None, 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'O=c1onc(-c2ccccc2)o1', 'Ic1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1']; ['O=C(Cl)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', None, 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'O=Cc1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(Oc1c(F)c(F)c(F)c(F)c1F)c1ccccc1', 'c1ccc2[nH]ncc2c1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9998208284378052, 0.9997727870941162, 0.9995608329772949, 0.9994782209396362, 0, 0.9994115829467773, 0.9993798136711121, 0.9983721971511841, 0.9980961084365845, 0.997228741645813, 0.9905329942703247, 0.9481357336044312, 0.9404993057250977]
+COc1ccc2c(c1)c(NC(=O)c1ccccc1)cn2C; ['COc1ccc2c(ccn2C)c1']; ['O=c1onc(-c2ccccc2)o1']; [0.9999312162399292]
+Nc1cc(NC(=O)c2ccccc2)c2cc[nH]c2n1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(NC(=O)c2ccccc2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', None, 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'Brc1ccccc1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1', 'CNC(=O)c1ccc(OC)c([N+](=O)[O-])c1', 'CCOC(=O)c1ccccc1']; ['O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1', None, 'O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'CNC(=O)c1ccc(OC)c(N)c1', 'COC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'CNC(=O)c1ccc(OC)c(N)c1']; [0.9971175193786621, 0.9955244064331055, 0, 0.9906439781188965, 0.9832520484924316, 0.9787492752075195, 0.9452152252197266, 0.9139546155929565, 0.8472853899002075, 0.8156046867370605, 0.7841325402259827]
+COc1cc(NC(=O)c2ccccc2)cc(OC)c1; [None]; [None]; [0]
+O=C(Nc1ncc2sccc2n1)c1ccccc1; ['Clc1ncc2sccc2n1']; ['NC(=O)c1ccccc1']; [0.9817258715629578]
+O=C(Nc1cc2ccccc2o1)c1ccccc1; ['O=C(Cl)c1ccccc1']; ['O=[N+]([O-])c1cc2ccccc2o1']; [0.851880669593811]
+Cn1cc(Br)cc1NC(=O)c1ccccc1; [None]; [None]; [0]
+COc1ccc2nc(NC(=O)c3ccccc3)[nH]c2c1; ['COc1ccc2nc(Cl)[nH]c2c1', 'COc1ccc(N)c(N)c1']; ['NC(=O)c1ccccc1', 'N#CNC(=O)c1ccccc1']; [0.9972654581069946, 0.9961919784545898]
+CC(C)c1nn(C)cc1NC(=O)c1ccccc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)NNC(=O)c2ccccc2)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['NNC(=O)c1ccccc1']; [0.9477367401123047]
+COc1ccc2oc(NC(=O)c3ccccc3)cc2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(NC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+O=C(Nc1cc(-c2cccnc2)ccn1)c1ccccc1; ['Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1', 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1']; [0.9997055530548096, 0.9992769956588745, 0.9991846084594727, 0.9989943504333496, 0.9979908466339111]
 O=C(Nc1ncn2c1CCCC2)c1ccccc1; [None]; [None]; [0]
+CCc1cccc(NC(=O)c2ccccc2)n1; ['CCc1cccc(N)n1', 'C#Cc1ccccc1', 'CCc1cccc[n+]1[O-]', 'CCc1cccc(Br)n1', 'CCc1cccc(N)n1', 'CCc1cccc(N)n1', 'CCc1cccc(N)n1', 'CCc1cccc(N)n1', 'CC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'CCc1cccc(N)n1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'COC(=O)c1ccccc1', 'O=Cc1ccccc1', 'CCc1cccc(N)n1']; [0.9996954202651978, 0.9993993043899536, 0.999321699142456, 0.9980334043502808, 0.9968932867050171, 0.9968569874763489, 0.9959739446640015, 0.9453704357147217, 0.9311856627464294]
+Cn1cc(NC(=O)c2ccccc2)c2ccccc21; ['Cn1ccc2ccccc21']; ['O=c1onc(-c2ccccc2)o1']; [0.9991514682769775]
+Cn1ncc2cc(NC(=O)c3ccccc3)ccc21; ['Cn1ncc2cc(N)ccc21', 'Brc1ccccc1', None, 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(N)ccc21', 'COC(=O)c1ccccc1', 'CCOC(=O)c1ccccc1', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2ccccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc([N+](=O)[O-])ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc([N+](=O)[O-])ccc21']; ['O=C(Cl)c1ccccc1', 'Cn1ncc2cc(N)ccc21', None, 'NC(=O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'NC(=O)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'O=C(Br)c1ccccc1', 'O=Cc1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccccc1']; [0.9999809265136719, 0.999970555305481, 0, 0.9999218583106995, 0.9998563528060913, 0.9998190402984619, 0.9997870922088623, 0.9996922016143799, 0.9996631741523743, 0.9994900226593018, 0.9994654655456543, 0.9990643858909607, 0.9987081289291382, 0.9984532594680786, 0.9941132068634033, 0.9935028553009033, 0.9925161600112915, 0.9910353422164917, 0.984007716178894]
+CN(C)c1ccc(NC(=O)c2ccccc2)cn1; ['CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc([N+](=O)[O-])cn1', 'CN(C)c1ccc(Cl)cn1']; ['O=C(Cl)c1ccccc1', 'COC(=O)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9997401237487793, 0.9992339611053467, 0.9988919496536255, 0.9963082075119019, 0.9947941303253174, 0.9920345544815063, 0.8645856380462646, 0.8294636011123657]
+O=C(Nc1cccc(NC(=O)N2CCCC2)c1)c1ccccc1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(NC(=O)c3ccccc3)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(NC(=O)c3ccccc3)ccc12; ['Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'COC(=O)c1ccccc1', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'CCOC(=O)c1ccccc1', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12', None, 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2ccccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(F)ccc12', 'Cc1n[nH]c2cc(I)ccc12']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'Cc1n[nH]c2cc(N)ccc12', 'NC(=O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'Cc1n[nH]c2cc(N)ccc12', 'O=C(Oc1ccccc1)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', None, 'O=Cc1ccccc1', 'NC(=O)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'O=C(Br)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1']; [0.9999476671218872, 0.9999188184738159, 0.9997872114181519, 0.9997221231460571, 0.9996598958969116, 0.9995880126953125, 0.9994609355926514, 0.9992638826370239, 0, 0.9990455508232117, 0.998832643032074, 0.9979239702224731, 0.997850775718689, 0.9958615899085999, 0.9956521987915039]
+O=C(Nc1ccc(OC(F)(F)F)cc1)c1ccccc1; [None]; [None]; [0]
+O=C(Nc1cccc(N2CCCC2=O)c1)c1ccccc1; ['Brc1ccccc1', 'Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'CCOC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'COC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1']; ['Nc1cccc(N2CCCC2=O)c1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc([N+](=O)[O-])c1']; [0.9998775720596313, 0.9992924928665161, 0.9991104602813721, 0.9957945346832275, 0.9956005811691284, 0.9954885244369507, 0.9751687049865723]
+CC(C)(O)c1ccc2cc(NC(=O)c3ccccc3)[nH]c2c1; [None]; [None]; [0]
+O=C(NNC(=O)c1cccc(OC(F)(F)F)c1)c1ccccc1; ['NNC(=O)c1ccccc1', 'NNC(=O)c1cccc(OC(F)(F)F)c1', 'NNC(=O)c1cccc(OC(F)(F)F)c1', 'NNC(=O)c1ccccc1', 'NNC(=O)c1cccc(OC(F)(F)F)c1', 'NNC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', '[N-]=[N+]=NC(=O)c1ccccc1']; [0.9994434714317322, 0.9990056157112122, 0.9943889379501343, 0.9930976629257202, 0.9843553304672241, 0.8015868663787842]
+Cc1cc(NC(=O)c2ccccc2)cc(C)c1OCCO; [None]; [None]; [0]
+O=C(Nc1ccc(CCO)cc1)c1ccccc1; ['Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'COC(=O)c1ccccc1', 'O=c1onc(-c2ccccc2)o1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1', 'Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'NC(=O)c1ccccc1']; ['O=C(Cl)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccccc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(I)cc1', 'Nc1ccc(CCO)cc1', 'O=C(O)C(=O)c1ccccc1', 'O=C(c1ccccc1)N1CCSC1=S', 'O=Cc1ccccc1', 'OCCc1ccc(Cl)cc1']; [0.9993811845779419, 0.9990320205688477, 0.9989529848098755, 0.9926247596740723, 0.9918564558029175, 0.9851556420326233, 0.98216712474823, 0.9770757555961609, 0.9375638961791992, 0.9005662202835083, 0.8618378639221191, 0.8255994915962219]
+CN(C)C(=O)c1ccc(NC(=O)c2ccccc2)c(Cl)c1; ['CN(C)C(=O)c1cccc(Cl)c1']; ['O=c1onc(-c2ccccc2)o1']; [0.9823235869407654]
 CC(=O)N1CCC(n2cc(NC(=O)c3ccccc3)cn2)CC1; [None]; [None]; [0]
-O=C(NNC(=O)c1cccc(OC(F)(F)F)c1)c1ccccc1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2ccccc2)c(OC)c1; ['CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', None, 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1']; ['O=C(Oc1c(F)c(F)c(F)c(F)c1F)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Cl)c1ccccc1', 'O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1', None, 'COC(=O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1']; [0.9935946464538574, 0.9687978625297546, 0.9682786464691162, 0.9601521492004395, 0.9498428702354431, 0, 0.8857253789901733, 0.8684060573577881]
+COc1cc(S(C)(=O)=O)ccc1NC(=O)c1ccccc1; ['COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N', None, 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N', 'CCOC(=O)c1ccccc1', 'COC(=O)c1ccccc1', 'COc1cc(S(C)(=O)=O)ccc1[N+](=O)[O-]', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N']; ['O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', None, 'O=C(c1ccccc1)n1ccnc1', 'O=C(O)c1ccccc1', 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N', 'O=C(Cl)c1ccccc1', 'NC(=O)c1ccccc1', 'O=Cc1ccccc1', 'NC(=O)c1ccccc1']; [0.9995478391647339, 0.9992902278900146, 0.9990454316139221, 0, 0.9984610080718994, 0.9979802370071411, 0.9971352815628052, 0.9920411109924316, 0.99155592918396, 0.9811079502105713, 0.9684813022613525, 0.9563838243484497]
 Cc1ncc(-c2ccc(NC(=O)c3ccccc3)cc2)n1C; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(NC(=O)c2ccccc2)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1']; ['NC(=O)c1ccccc1']; [0.9992919564247131]
+Cc1cc(N2CCOCC2)ccc1NC(=O)c1ccccc1; [None]; [None]; [0]
+CCNC(=O)c1ccc(NC(=O)c2ccccc2)cc1; ['CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCN', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCN', 'Brc1ccccc1', None, None, 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc([N+](=O)[O-])cc1', 'CCNC(=O)c1ccc(N)cc1']; ['O=C(c1ccccc1)n1nnc2ccccc21', 'O=C(c1ccccc1)n1ccnc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', 'O=C(Oc1ccc([N+](=O)[O-])cc1)c1ccccc1', 'COC(=O)c1ccccc1', 'COC(=O)c1ccc(NC(=O)c2ccccc2)cc1', 'O=C(O)c1ccccc1', 'Ic1ccccc1', 'NC(=O)c1ccccc1', 'O=C(O)c1ccc(NC(=O)c2ccccc2)cc1', 'CCNC(=O)c1ccc(N)cc1', None, None, 'O=C(Cl)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'NC(=O)c1ccccc1', 'O=C(Br)c1ccccc1', 'CCOC(=O)c1ccccc1', 'O=C(O)c1ccccc1', 'O=C(c1ccccc1)N1CCSC1=S']; [0.9992204904556274, 0.9931511878967285, 0.9924551844596863, 0.9910167455673218, 0.9905254244804382, 0.9853981137275696, 0.9832350015640259, 0.9832239151000977, 0.9791845083236694, 0.9784818887710571, 0.9759516716003418, 0, 0, 0.9692202806472778, 0.9679257869720459, 0.9589828252792358, 0.9387855529785156, 0.9303549528121948, 0.8500881195068359, 0.837706446647644]
 COc1cc(-c2cnn(C)c2)ccc1NC(=O)c1ccccc1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1NC(=O)c1ccccc1; [None]; [None]; [0]
 Cn1nc(NC(=O)c2ccccc2)cc1C(C)(C)O; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(NC(=O)c2ccccc2)c1; ['CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1', None, 'CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1', 'CCOC(=O)c1ccccc1', 'CN', 'CNC(=O)c1ccc(C)c(N)c1', None]; ['O=C(Cl)c1ccccc1', 'O=C(OC(=O)c1ccccc1)c1ccccc1', None, 'O=C(O)c1ccccc1', 'O=C(Oc1ccccc1)c1ccccc1', 'COC(=O)c1ccccc1', 'CNC(=O)c1ccc(C)c(N)c1', 'Cc1ccc(C(=O)O)cc1NC(=O)c1ccccc1', 'O=Cc1ccccc1', None]; [0.9975893497467041, 0.9962165951728821, 0, 0.9940215349197388, 0.9859141111373901, 0.9490766525268555, 0.9079494476318359, 0.8931409120559692, 0.7971247434616089, 0]
+COc1cc(N2CCNCC2)ccc1NC(=O)c1ccccc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(NC(=O)c2ccccc2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['NC(=O)c1ccccc1']; [0.9979662299156189]
+CCOc1ccccc1-c1cnc2ccc(N)nn12; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Br']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999829530715942, 0.9999685287475586, 0.9979199767112732]
+CS(=O)(=O)c1ccc(Cl)c(NC(=O)c2ccccc2)c1; ['CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c([N+](=O)[O-])c1']; ['O=c1onc(-c2ccccc2)o1', 'NC(=O)c1ccccc1', 'O=C(Cl)c1ccccc1']; [0.9862021803855896, 0.9814413785934448, 0.9141629934310913]
 CNC(=O)c1ccccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-CCOc1ccccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cnc3ccc(N)nn23)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
+CCn1cc(-c2cnc3ccc(N)nn23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1']; [1.0, 0.9999852776527405]
 CP(C)(=O)c1ccccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc(C(F)(F)F)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccnc4ccccc34)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccccc3Br)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccccc3OC(F)(F)F)n2n1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)NC(=O)c1ccccc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1NC(=O)c1ccccc1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cccc(C(F)(F)F)c3)n2n1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'FC(F)(F)c1cccc(Br)c1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1ccc2nccn2n1']; [1.0, 0.9999970197677612, 0.9995920658111572]
+Nc1ccc2ncc(-c3ccnc4ccccc34)n2n1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Brc1ccnc2ccccc12']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccnc2ccccc12', 'Nc1ccc2nccn2n1']; [0.9999779462814331, 0.9992220401763916, 0.9837334156036377]
+Nc1ccc2ncc(-c3ccccc3OC(F)(F)F)n2n1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'FC(F)(F)Oc1ccccc1Br']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ccc2nccn2n1']; [0.9999997615814209, 0.9999978542327881, 0.999988853931427]
 Nc1ccc2ncc(-c3ccccc3C(=O)[O-])n2n1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cnn(Cc4ccccc4)c3)n2n1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cnc3ccc(N)nn23)[nH]1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cnc2ccc(N)nn12; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999885559082031, 0.9977898597717285, 0.8877944946289062]
+Nc1ccc2ncc(-c3cnn(Cc4ccccc4)c3)n2n1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [1.0, 0.9999980926513672]
+Cn1cnc2ccc(-c3cnc4ccc(N)nn34)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1ccc2nccn2n1', 'Nc1ccc2ncc(Br)n2n1']; [0.9999561309814453, 0.9995312690734863]
+COc1ccc(F)cc1[C@@H](C)c1cnc2ccc(N)nn12; [None]; [None]; [0]
+Cc1ccc(-c2cnc3ccc(N)nn23)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1']; ['Nc1ccc2ncc(Br)n2n1']; [0.9758389592170715]
+Nc1ccc2ncc(-c3cccc(NC(=O)c4ccccc4)c3)n2n1; ['Nc1ccc2ncc(Br)n2n1']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999963641166687]
+Nc1ccc2ncc(-c3cnn(CCO)c3)n2n1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OCCn1cc(B(O)O)cn1']; [1.0, 0.9999974966049194]
+Nc1ccc2ncc(-c3cc(Cl)ccc3Cl)n2n1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Clc1ccc(Cl)c(Br)c1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cc(Cl)ccc1Cl', 'Nc1ccc2nccn2n1']; [0.9999991655349731, 0.9999295473098755, 0.9994973540306091]
 Nc1ccc2ncc(-c3cnc(-c4ccccc4)[nH]3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cnn(CCO)c3)n2n1; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2cnc3ccc(N)nn23)cs1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc(NC(=O)c4ccccc4)c3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc([C@@H](N)c3ccco3)n2n1; [None]; [None]; [0]
 COc1cnc(-c2cnc3ccc(N)nn23)nc1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3ccc(N)nn23)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
 Nc1ccc2ncc(-c3cnc4ccccn34)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cccc(Cn4cncn4)c3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3c(Cl)cccc3Cl)n2n1; ['Nc1ccc2ncc(Br)n2n1', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I']; ['OB(O)c1c(Cl)cccc1Cl', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1']; [0.9992043375968933, 0.992800235748291, 0.9469714164733887]
 Cc1nc(C)c(-c2cnc3ccc(N)nn23)s1; [None]; [None]; [0]
 CNc1nc(C)c(-c2cnc3ccc(N)nn23)s1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cccc(Br)c3)n2n1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Brc1cccc(Br)c1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cccc(Br)c1', 'Nc1ccc2nccn2n1']; [0.9999958276748657, 0.9997293949127197, 0.9987330436706543]
+Cc1ccc(Cl)c(-c2cnc3ccc(N)nn23)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1']; [0.9999871253967285, 0.9998660087585449, 0.9959560632705688, 0.9935654997825623]
+Cc1nc2ccccn2c1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccc4ccccc4c3)n2n1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Brc1ccc2ccccc2c1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ccc2nccn2n1']; [0.9999998807907104, 0.9999979734420776, 0.9998914003372192]
+Nc1ccc2ncc(-c3cnn4ncccc34)n2n1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Nc1ccc2ncc(Br)n2n1']; [0.9999992251396179]
 Cc1nc(N)sc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cnc2ccc(N)nn12; ['NC(=O)c1c(F)cccc1Br']; ['Nc1ccc2nccn2n1']; [0.999962568283081]
 Nc1ccc2ncc(-c3cnc4cccnn34)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3c(Cl)cccc3Cl)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc(Cn4cncn4)c3)n2n1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cnc3ccc(N)nn23)c1; [None]; [None]; [0]
-Cc1c(-c2cnc3ccc(N)nn23)sc(=O)n1C; [None]; [None]; [0]
+Nc1ccc2ncc(-c3c[nH]nc3C(F)(F)F)n2n1; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Br']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [1.0, 0.9996205568313599]
+Nc1ccc2ncc(-c3ccc4c(N)[nH]nc4c3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cncc4ccccc34)n2n1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Brc1cncc2ccccc12']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cncc2ccccc12', 'Nc1ccc2nccn2n1']; [0.9999992847442627, 0.9999353885650635, 0.9965630173683167]
 Nc1ccc2ncc(-c3ccnc(N)n3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cnn4ncccc34)n2n1; [None]; [None]; [0]
-COc1cccc(-c2cnc3ccc(N)nn23)c1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc4ccccc4c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cncc4ccccc34)n2n1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cnc4ccc(N)nn34)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; ['Nc1ccc2ncc(Br)n2n1']; [1.0]
+Cn1ncc2cc(-c3cnc4ccc(N)nn34)ccc21; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1']; [1.0, 1.0]
+Nc1ccc2ncc(-c3ccc(-c4cn[nH]c4)cc3)n2n1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc2nccn2n1']; [1.0, 0.9999990463256836, 0.9999210834503174]
+Nc1ccc2ncc(-c3cccc(O)c3)n2n1; ['Nc1ccc2ncc(Br)n2n1']; ['OB(O)c1cccc(O)c1']; [0.9999662637710571]
+Cc1c(-c2cnc3ccc(N)nn23)sc(=O)n1C; [None]; [None]; [0]
+CC(C)(C)c1cnc(Cc2cnc3ccc(N)nn23)o1; [None]; [None]; [0]
 Nc1ccc2ncc(-c3cccc(CC(=O)[O-])c3)n2n1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cnc4ccc(N)nn34)cc2)cn1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc4c(N)[nH]nc4c3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3csc4ncncc34)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cccc(CO)c3)n2n1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1']; [0.9999998807907104, 0.9999771118164062, 0.998725414276123]
 CN1c2ccc(-c3cnc4ccc(N)nn34)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc4ccc(N)nn34)ccc21; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc(O)c3)n2n1; [None]; [None]; [0]
 CCCn1cnc(-c2cnc3ccc(N)nn23)n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc(CO)c3)n2n1; [None]; [None]; [0]
-COc1cc(-c2cnc3ccc(N)nn23)ccc1C(=O)[O-]; [None]; [None]; [0]
+N#CCCc1cccc(-c2cnc3ccc(N)nn23)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999902844429016, 0.9995810389518738]
 CC(C)n1cc(-c2cnc3ccc(N)nn23)nn1; [None]; [None]; [0]
 CSc1nc(-c2cnc3ccc(N)nn23)c[nH]1; [None]; [None]; [0]
+COc1cc(-c2cnc3ccc(N)nn23)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)c1oncc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3csc4ncncc34)n2n1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cnc3ccc(N)nn23)c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cnc3ccc(N)nn23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ccc2ncc(Br)n2n1']; [1.0]
+Nc1ccc2ncc(-c3ccc(F)cc3C(F)(F)F)n2n1; ['Nc1ccc2ncc(Br)n2n1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1']; [0.9999925494194031, 0.9326149821281433, 0.9179089665412903]
+Nc1ccc2ncc(-c3cncnc3N)n2n1; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; ['Nc1ncncc1Br', 'Nc1ncncc1Br']; [0.9932721257209778, 0.944251537322998]
+Nc1ccc2ncc(Cc3c(F)cccc3F)n2n1; [None]; [None]; [0]
+COc1ccc(-c2cnc3ccc(N)nn23)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1']; [1.0, 0.9999973177909851]
+CC(=O)Nc1cccc(-c2cnc3ccc(N)nn23)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1']; [0.9999996423721313, 0.9999978542327881]
+Nc1ccc2ncc(-c3cc4ccccc4[nH]3)n2n1; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cnc4ccc(N)nn34)cc2s1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cnn4ccccc34)n2n1; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Brc1cnn2ccccc12']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cnn2ccccc12', 'Nc1ccc2nccn2n1']; [1.0, 0.9999986290931702, 0.9859553575515747]
+CCCn1cc(-c2cnc3ccc(N)nn23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1']; [1.0, 0.9999969005584717]
+Cn1cc(-c2cnc3ccc(N)nn23)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1ccc2ncc(Br)n2n1']; [0.9999997615814209]
 CC[C@H](CO)c1cnc2ccc(N)nn12; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cnc3ccc(N)nn23)cc1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(F)cc3C(F)(F)F)n2n1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc3ccc(N)nn23)c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3ccc(N)nn23)c2ccccc21; [None]; [None]; [0]
-COc1ccc(-c2cnc3ccc(N)nn23)cc1Cl; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cnn4ccccc34)n2n1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cnc3ccc(N)nn23)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['Nc1ccc2nccn2n1']; [0.8524917364120483]
+C[S@](=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Nc1ccc2ncc(Br)n2n1']; [0.9999953508377075]
+Nc1ccc2ncc(-c3cccc4c3C(=O)CC4)n2n1; ['Nc1ccc2nccn2n1']; ['O=C1CCc2cccc(Br)c21']; [0.8187258243560791]
+Nc1ccc2ncc(-c3cc[nH]c(=O)c3)n2n1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Nc1ccc2nccn2n1']; ['Nc1ccc2ncc(Br)n2n1', 'O=c1cc(Br)cc[nH]1']; [0.999998927116394, 0.9864789247512817]
+CCNS(=O)(=O)c1ccccc1-c1cnc2ccc(N)nn12; ['CCNS(=O)(=O)c1ccccc1Br']; ['Nc1ccc2ncc(Br)n2n1']; [0.9973360896110535]
 Nc1ccc2ncc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)n2n1; [None]; [None]; [0]
-CCCn1cc(-c2cnc3ccc(N)nn23)cn1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cc[nH]c(=O)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc4c3C(=O)CC4)n2n1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cnc3ccc(N)nn23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc3ccc(N)nn23)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1']; [1.0, 0.9999992847442627, 0.9991938471794128, 0.8925038576126099]
+CC(C)Oc1cncc(-c2cnc3ccc(N)nn23)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1']; [1.0, 0.9999995231628418]
+CS(=O)(=O)c1cccc(Cc2cnc3ccc(N)nn23)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cnc2ccc(N)nn12; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Cl']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999995231628418, 0.9999511241912842, 0.9998127222061157, 0.9997241497039795, 0.9994738101959229, 0.997718334197998]
+CN(c1ncccc1Cc1cnc2ccc(N)nn12)S(C)(=O)=O; [None]; [None]; [0]
+Nc1ccc2ncc(-c3c[nH]c4cnccc34)n2n1; ['Nc1ccc2ncc(Br)n2n1']; ['OB(O)c1c[nH]c2cnccc12']; [0.9963945150375366]
+Nc1ccc2ncc(-c3cnc4[nH]ccc4c3)n2n1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 0.9999960660934448]
 Nc1ccc2ncc(-c3cc4c(=O)[nH]ccc4o3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cc4c(=O)[nH]cc(Br)c4s3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3c[nH]c4ccccc34)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3c[nH]c4cnccc34)n2n1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [1.0, 0.9999993443489075, 0.9995176792144775, 0.9990285634994507]
 CNC(=O)c1c(F)cccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cnc4[nH]ccc4c3)n2n1; [None]; [None]; [0]
-CC1(c2cnc3ccc(N)nn23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(N4CCOCC4)cc3)n2n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccnc3O)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc([C@H](CO)c3ccccc3)n2n1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [1.0, 0.999993085861206, 0.9990990161895752]
+Nc1ccc2ncc(-c3ccc(N4CCOCC4)cc3)n2n1; ['Nc1ccc2ncc(Br)n2n1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccc2ncc(Br)n2n1']; [1.0, 1.0]
+CNS(=O)(=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [1.0, 0.9999951124191284, 0.9984864592552185, 0.9984077215194702]
+Nc1ccc2ncc(-c3cc4c(=O)[nH]cc(Br)c4s3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3c(F)cccc3Cl)n2n1; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Nc1ccc2ncc(Br)n2n1', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Cl']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1', 'OB(O)c1c(F)cccc1Cl', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1']; [0.9999997615814209, 0.9999672174453735, 0.9999406337738037, 0.9999246597290039, 0.9995567202568054]
+Nc1ccc2ncc([C@H](CO)Cc3ccccc3)n2n1; [None]; [None]; [0]
 Nc1ccc2ncc(-c3ccc(-n4cncn4)cc3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3nc4ccc(O)cc4[nH]3)n2n1; [None]; [None]; [0]
+CC1(c2cnc3ccc(N)nn23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccc(C(=O)c4ccccc4)cc3)n2n1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; ['Nc1ccc2ncc(Br)n2n1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [1.0, 0.9999983310699463, 0.904578447341919]
+COc1ccc(-c2cnc3ccc(N)nn23)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999982118606567, 0.9999682903289795, 0.9998732209205627]
+Cc1cc(-c2cnc3ccc(N)nn23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cnc3ccc(N)nn23)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cnc3ccc(N)nn23)c(OC)c1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(C(=O)c4ccccc4)cc3)n2n1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc3ccc(N)nn23)CC1; [None]; [None]; [0]
 Nc1ccc2ncc(-c3nncn3C3CC3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccn(CC[NH3+])n3)n2n1; [None]; [None]; [0]
 Nc1ccc2ncc(-c3cn(Cc4ccccc4)nn3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccn(CC[NH3+])n3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3nnc(N)s3)n2n1; [None]; [None]; [0]
 CCc1cc(-c2cnc3ccc(N)nn23)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2cnc3ccc(N)nn23)nc(N)n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cnc(N)s3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3nnc(N)s3)n2n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cnc3ccc(N)nn23)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cnc3ccc(N)nn23)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
 Nc1ccc2ncc(-c3nc4ccccc4s3)n2n1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cnc4ccc(N)nn34)nc2NC1=O; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cccc4ccsc34)n2n1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Brc1cccc2ccsc12']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cccc2ccsc12', 'Nc1ccc2nccn2n1']; [1.0, 0.9999849796295166, 0.9852690696716309]
+Nc1ccc2ncc(-c3cccc4nnsc34)n2n1; ['Brc1cccc2nnsc12']; ['Nc1ccc2nccn2n1']; [0.9219381809234619]
+C[C@@H2]NC(=O)N1CCC(c2cnc3ccc(N)nn23)CC1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc4ccc(N)nn34)c2)cc1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc4ccsc34)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc4nnsc34)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(CCCNC(=O)c3cccs3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3c[nH]c4cccnc34)n2n1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Nc1ccc2ncc(Br)n2n1']; [0.9999967217445374]
+CC1(C)Oc2ccc(-c3cnc4ccc(N)nn34)nc2NC1=O; [None]; [None]; [0]
+Nc1cncc(-c2cnc3ccc(N)nn23)n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cnc2ccc(N)nn12; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999963641166687, 0.999994158744812, 0.9937836527824402]
 Nc1ccc2ncc(CCCNC(=O)C3CCC3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(CCCNC(=O)c3cccs3)n2n1; [None]; [None]; [0]
 Nc1ccc2ncc(-c3ncc4ccccc4n3)n2n1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cnc3ccc(N)nn23)[nH]1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3c[nH]c4cccnc34)n2n1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cnc3ccc(N)nn23)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999890327453613, 0.9999822974205017, 0.9968847036361694]
+Nc1ccc2ncc(-c3cn(CCO)cn3)n2n1; [None]; [None]; [0]
+COc1ncccc1-c1cnc2ccc(N)nn12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1I']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1']; [0.9999974370002747, 0.9999219179153442, 0.9574821591377258, 0.9040896892547607]
 Nc1ccc2ncc(-c3ncc4cc[nH]c4n3)n2n1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cnc3ccc(N)nn23)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cnc3ccc(N)nn23)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnc3ccc(N)nn23)n1; [None]; [None]; [0]
 CN(C)c1cc(-c2cnc3ccc(N)nn23)cnn1; [None]; [None]; [0]
-Nc1ccc2ncc(N3CCC(c4nc5ccccc5[nH]4)CC3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc(NC(=O)C4CCNCC4)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(O)cc3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc4ncccc34)n2n1; [None]; [None]; [0]
-CCc1ccc(-c2cnc3ccc(N)nn23)cc1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(Cl)c(O)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3n[nH]c4ccccc34)n2n1; [None]; [None]; [0]
-Cn1c(-c2cnc3ccc(N)nn23)nc2ccccc21; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccc(Cl)c(O)c3)n2n1; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999996423721313, 0.9999990463256836]
+NC(=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; ['NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999996423721313, 0.9999787211418152]
 Nc1ccc2ncc(Oc3ccc(F)cc3)n2n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3ccc(N)nn23)c(F)c1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(O)cc3Cl)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cn[nH]c3Cl)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(-c4ccc(O)cc4O)cc3)n2n1; [None]; [None]; [0]
-COc1cc(-c2cnc3ccc(N)nn23)ccc1O; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cccc4ncccc34)n2n1; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Brc1cccc2ncccc12']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cccc2ncccc12', 'Nc1ccc2nccn2n1']; [0.9999990463256836, 0.9995200037956238, 0.9960576295852661]
+Nc1ccc2ncc(-c3n[nH]c4ccccc34)n2n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cnc3ccc(N)nn23)CC1; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1Cc1cnc2ccc(N)nn12; [None]; [None]; [0]
+Nc1ccc2ncc(-c3c(Cl)ccc4c3OCO4)n2n1; ['Nc1ccc2ncc(Br)n2n1']; ['OB(O)c1c(Cl)ccc2c1OCO2']; [0.9995105862617493]
+CN(C)S(=O)(=O)c1cccc(-c2cnc3ccc(N)nn23)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1', 'Nc1ccc2ncc(Br)n2n1']; [1.0, 0.999984860420227, 0.99997878074646, 0.9998202323913574]
+NC(=O)c1ccc(-c2cnc3ccc(N)nn23)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1']; [0.9999991655349731, 0.9999581575393677]
+Nc1ccc2ncc(-c3ccc(O)cc3Cl)n2n1; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccc(O)cc1Cl']; [0.9999968409538269, 0.999800443649292]
+COc1cc(C(N)=O)ccc1-c1cnc2ccc(N)nn12; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ccc2ncc(Br)n2n1']; [0.9999967813491821]
+COc1ccc(F)cc1-c1cnc2ccc(N)nn12; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999990463256836, 0.9999791383743286, 0.9782168865203857]
+COc1cc(-c2cnc3ccc(N)nn23)ccc1O; ['COc1cc(B(O)O)ccc1O']; ['Nc1ccc2ncc(Br)n2n1']; [0.999989926815033]
+COc1cc(F)ccc1-c1cnc2ccc(N)nn12; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999996423721313, 0.9999855756759644, 0.9999369382858276]
+Nc1ccc2ncc(-c3ccc(O)cc3F)n2n1; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(I)c(F)c1']; [0.9999930262565613, 0.9999098181724548, 0.9732270240783691]
 Nc1ccc2ncc(-c3ccc(C(=O)[O-])cc3)n2n1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnc3ccc(N)nn23)o1; [None]; [None]; [0]
-COc1cc(CCc2cnc3ccc(N)nn23)ccc1O; [None]; [None]; [0]
-Nc1ccc2ncc(COc3cccc(Cl)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cccc(Br)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(O)cc3O)n2n1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnc3ccc(N)nn23)c1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccc(O)c(F)c3)n2n1; ['Nc1ccc2ncc(Br)n2n1']; ['OB(O)c1ccc(O)c(F)c1']; [0.9999985098838806]
+COC(=O)c1ccc(Cl)c(-c2cnc3ccc(N)nn23)c1; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999995231628418, 0.9997954964637756, 0.9983088970184326]
+Cc1nc2c(F)cc(-c3cnc4ccc(N)nn34)cc2[nH]1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cnc3ccc(N)nn23)o1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccc(F)c(Cl)c3)n2n1; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccc(F)c(Cl)c1']; [1.0, 0.9999992251396179]
+Nc1cc(-c2cnc3ccc(N)nn23)ccn1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(I)ccn1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1']; [0.9999998211860657, 0.9999808073043823, 0.9998725652694702, 0.999051034450531]
+Nc1ccc2ncc(-c3ccc(-c4ccc(O)cc4O)cc3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cn[nH]c3Cl)n2n1; [None]; [None]; [0]
 Nc1ccc2ncc(COc3ccccc3Cl)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(F)c(Cl)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc([C@H](CO)c3ccccc3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(CCc3ccc(Cl)cc3)n2n1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cc(O)ccc3Cl)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3c(Cl)ccc4c3OCO4)n2n1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cnc(O)c(Cl)c3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccc(O)cc3O)n2n1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cnc2ccc(N)nn12; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999822378158569, 0.9990655183792114, 0.965265154838562]
+Nc1ccc2ncc(-c3cnc(O)c(Cl)c3)n2n1; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C']; ['Nc1ccc2ncc(Br)n2n1']; [1.0]
+Nc1ccc2ncc(-c3cc(O)ccc3Cl)n2n1; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cc(O)ccc1Cl']; [0.9999914169311523, 0.9969441890716553]
+Cc1ccc(CO)cc1-c1cnc2ccc(N)nn12; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Br']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999978542327881, 0.999711275100708, 0.8871492147445679]
+COc1ccc(-c2cnc3ccc(N)nn23)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999996423721313, 0.9999942779541016, 0.9999886751174927]
+COc1cc(CCc2cnc3ccc(N)nn23)ccc1O; [None]; [None]; [0]
+CCOc1cccc(-c2cnc3ccc(N)nn23)c1; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999997615814209, 0.9999763369560242, 0.9988813400268555]
+Cc1nc2ccc(-c3cnc4ccc(N)nn34)cc2[nH]1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1']; ['Nc1ccc2ncc(Br)n2n1']; [1.0]
+COc1cc(OC)cc(-c2cnc3ccc(N)nn23)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1']; [0.9999997615814209, 0.9999949932098389, 0.994918942451477, 0.9890385866165161, 0.9862473011016846]
 NC(=O)c1cc(-c2cnc3ccc(N)nn23)c[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc3ccc(N)nn23)c1; [None]; [None]; [0]
-COc1ccc(-c2cnc3ccc(N)nn23)cc1OC; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnc3ccc(N)nn23)cc1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['Nc1ccc2ncc(Br)n2n1']; [1.0]
+Nc1ccc2ncc(-c3ccc4c(c3)CC(=O)N4)n2n1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'O=C1Cc2cc(B(O)O)ccc2N1']; [0.9999997615814209, 0.9999938011169434]
+Nc1ccc2ncc(-c3cncc(O)c3)n2n1; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1', 'Nc1ccc2nccn2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'Oc1cncc(I)c1']; [1.0, 0.9999620914459229, 0.9977487325668335, 0.9957271814346313]
+Nc1ccc2ncc(-c3[nH]cnc3-c3ccc(F)cc3)n2n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cnc2ccc(N)nn12; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ccc2ncc(Br)n2n1']; [0.9999881982803345]
+CCc1cc(O)c(F)cc1-c1cnc2ccc(N)nn12; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ccc2ncc(Br)n2n1']; [0.9999994039535522]
+Cc1cc(O)ccc1-c1cnc2ccc(N)nn12; ['Cc1cc(O)ccc1B(O)O']; ['Nc1ccc2ncc(Br)n2n1']; [0.9962247610092163]
 CNC(=O)c1cccc2cc(-c3cnc4ccc(N)nn34)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc4ccc(N)nn34)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnc3ccc(N)nn23)cc1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cncc(O)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc4c(c3)CC(=O)N4)n2n1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnc2ccc(N)nn12; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cc(C(F)F)n[nH]3)n2n1; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnc3ccc(N)nn23)c1C; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccncc3Cl)n2n1; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Clc1cnccc1Br']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccncc1Cl', 'Nc1ccc2nccn2n1']; [0.9999990463256836, 0.9999512434005737, 0.9991304278373718]
+CCc1sccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cc(Cl)c(O)c(Cl)c3)n2n1; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [1.0, 0.9999570250511169]
+COc1cc(CCc2cnc3ccc(N)nn23)cc(OC)c1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccc4c(c3)CCN4)n2n1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccc2c(c1)CCN2']; [1.0, 0.9999992847442627]
 CNc1nccc(-c2cnc3ccc(N)nn23)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Cc1n[nH]c2cc(N(C)c3cnc4ccc(N)nn34)ccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1cnc2ccc(N)nn12; [None]; [None]; [0]
-CCc1sccc1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cc(Cl)c(O)c(Cl)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc4c(c3)CCN4)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cc(O)n4nccc4n3)n2n1; [None]; [None]; [0]
-Cc1oc(-c2cnc3ccc(N)nn23)cc1C(=O)[O-]; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc4[nH]c(=O)[nH]c4c3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccc4[nH]c(=O)[nH]c4c3)n2n1; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1']; [1.0, 0.9999987483024597]
+C[C@H](CC(N)=O)c1cnc2ccc(N)nn12; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)c3cnc4ccc(N)nn34)ccc12; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ccc(Br)cc3F)n2n1; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1', 'Fc1cc(Br)ccc1Br']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1ccc(Br)cc1F', 'Nc1ccc2nccn2n1']; [0.9999929666519165, 0.9990144968032837, 0.9971375465393066]
 Nc1ccc2ncc(Nc3ccncc3)n2n1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(Br)cc3F)n2n1; [None]; [None]; [0]
 Nc1ccc2ncc(-c3[nH]nc4ccc(F)cc34)n2n1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnc3ccc(N)nn23)c1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cc(O)cc(Br)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(C(=O)NC4CC4)cc3)n2n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc3ccc(N)nn23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1']; [1.0, 0.9999988079071045]
+Cc1oc(-c2cnc3ccc(N)nn23)cc1C(=O)[O-]; [None]; [None]; [0]
+CNc1nc(-c2cnc3ccc(N)nn23)ncc1F; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cc(O)n4nccc4n3)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3cc(O)cc(Br)c3)n2n1; ['CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cc(O)cc(Br)c1']; [0.9999824166297913, 0.993861973285675]
+Nc1ccc2ncc(-c3ccc(C(=O)NC4CC4)cc3)n2n1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [1.0, 0.9999995231628418]
+Cc1cc(-c2cnc3ccc(N)nn23)cc(C)c1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999987483024597, 0.9998607635498047, 0.947982668876648]
+Nc1ccc2ncc(-c3cc(F)c(O)c(F)c3)n2n1; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Nc1ccc2ncc(Br)n2n1']; ['Nc1ccc2ncc(Br)n2n1', 'OB(O)c1cc(F)c(O)c(F)c1']; [1.0, 0.9999845623970032]
+CSc1cccc(-c2cnc3ccc(N)nn23)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [0.9999997615814209, 0.9998736381530762, 0.9940544366836548]
 Cc1cc(-c2cnc3ccc(N)nn23)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc4ccc(N)nn34)cc2o1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3cc(F)c(O)c(F)c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc4c(=O)[nH][nH]c4c3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3[nH]cnc3-c3ccc(F)cc3)n2n1; [None]; [None]; [0]
-CSc1cccc(-c2cnc3ccc(N)nn23)c1; [None]; [None]; [0]
-Nc1ccc2ncc(OCc3ccccc3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(CCc3c[nH]c4ccccc34)n2n1; [None]; [None]; [0]
+CN(c1cccc2[nH]ncc12)c1cnc2ccc(N)nn12; [None]; [None]; [0]
 Nc1ccc2ncc(OCc3cccc4ccccc34)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ocnc3-c3ccc(F)cc3)n2n1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnc4ccc(N)nn34)cc2o1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; ['Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2ncc(Br)n2n1', 'Nc1ccc2nccn2n1']; [1.0, 0.9999997615814209, 0.9999862909317017]
 Nc1ccc2ncc(Oc3ccc(F)cc3F)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(Oc3ccccc3F)n2n1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
+Nc1ccc2ncc(OCc3ccc(F)cc3F)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(NCc3c(F)cccc3Cl)n2n1; ['NCc1c(F)cccc1Cl']; ['Nc1ccc2ncc(Br)n2n1']; [1.0]
+Nc1ccc2ncc(-c3ccc4c(=O)[nH][nH]c4c3)n2n1; [None]; [None]; [0]
+Cc1c(-c2cccc(O)c2)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['OB(O)c1cccc(O)c1', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Oc1cccc(I)c1']; [0.9996669292449951, 0.9989535808563232, 0.974777102470398]
 Cc1onc(-c2ccccc2)c1-c1cnc2ccc(N)nn12; [None]; [None]; [0]
-Nc1ccc2ncc(-c3ccc(F)cc3Cl)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(CCc3c[nH]c4ccccc34)n2n1; [None]; [None]; [0]
+Nc1ccc2ncc(-c3ocnc3-c3ccc(F)cc3)n2n1; [None]; [None]; [0]
 Nc1ccc2ncc(-c3cn[nH]c3-c3ccc(Cl)cc3)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(OCc3ccc(F)cc3F)n2n1; [None]; [None]; [0]
+Cc1c(-c2c(Cl)ccc3c2OCO3)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['OB(O)c1c(Cl)ccc2c1OCO2']; [0.9996082186698914]
+Cc1c(-c2ccc(Cl)c(O)c2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999097585678101, 0.9998674988746643]
+CNS(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2C)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999504089355469, 0.9997353553771973]
 Nc1ccc2ncc(CCc3ccc(F)cc3F)n2n1; [None]; [None]; [0]
-Nc1ccc2ncc(NCc3c(F)cccc3Cl)n2n1; [None]; [None]; [0]
-Cc1c(-c2ccc(O)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
 Cc1c(-c2cccc3ncccc23)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-CCc1ccc(-c2ccc3nc[nH]c(=O)c3c2C)cc1; [None]; [None]; [0]
-Cc1c(-c2ccc(Cl)c(O)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1c(-c2ccc(C(N)=O)cc2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'NC(=O)c1ccc(B(O)O)cc1']; [0.9999924898147583, 0.9999644160270691]
+Cc1c(Oc2ccc(F)cc2)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Oc1ccc(F)cc1']; [0.9994254112243652]
+Cc1c(-c2ccc(C(N)=O)cc2F)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'NC(=O)c1ccc(B(O)O)c(F)c1']; [0.9999889135360718, 0.9999340772628784]
+Cc1c(-c2c(Cl)cccc2Cl)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br']; [0.9996529221534729, 0.984756588935852, 0.9779961109161377]
+COc1cc(C(N)=O)ccc1-c1ccc2nc[nH]c(=O)c2c1C; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999850988388062]
 Cc1c(-c2n[nH]c3ccccc23)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2C)cc1; [None]; [None]; [0]
-Cc1c(-c2nc3ccccc3n2C)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2c(Cl)cccc2Cl)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(Oc2ccc(F)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc(C(N)=O)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc(C(N)=O)cc2F)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc(O)cc2Cl)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1c(-c2ccc(O)cc2Cl)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['OB(O)c1ccc(O)cc1Cl', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Oc1ccc(Br)c(Cl)c1']; [0.9999716281890869, 0.9998599290847778, 0.8709554672241211]
+COc1ccc(F)cc1-c1ccc2nc[nH]c(=O)c2c1C; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999512434005737, 0.9998389482498169, 0.9676675796508789]
+Cc1c(-c2ccc(O)cc2F)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1ccc(O)cc1F']; [0.9999628067016602, 0.9999309182167053]
 Cc1c(-c2ccnc(N)n2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+COc1cc(-c2ccc3nc[nH]c(=O)c3c2C)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.999886155128479, 0.9997916221618652]
+Cc1nc2c(F)cc(-c3ccc4nc[nH]c(=O)c4c3C)cc2[nH]1; [None]; [None]; [0]
 Cc1c(-c2cn[nH]c2Cl)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc(-c3ccc(O)cc3O)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-COc1cc(-c2ccc3nc[nH]c(=O)c3c2C)ccc1O; [None]; [None]; [0]
+Cc1c(-c2cccc(Br)c2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Brc1cccc(Br)c1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1cccc(Br)c1', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9998993873596191, 0.9992358088493347, 0.7592908143997192]
+Cc1c(-c2ccc3ccccc3c2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Brc1ccc2ccccc2c1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1ccc2ccccc2c1', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999891519546509, 0.9999852180480957, 0.9090089797973633]
+COc1cc(F)ccc1-c1ccc2nc[nH]c(=O)c2c1C; [None]; [None]; [0]
 Cc1c(-c2ccc(C(=O)[O-])cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2C)o1; [None]; [None]; [0]
-COc1cc(CCc2ccc3nc[nH]c(=O)c3c2C)ccc1O; [None]; [None]; [0]
-Cc1c(COc2cccc(Cl)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2cccc(Br)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1c(-c2ccc(-c3ccc(O)cc3O)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2C)o1; ['COC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccco1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999951124191284, 0.9999375343322754, 0.997260332107544, 0.9724167585372925]
+Cc1c(-c2ccc(O)c(F)c2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1ccc(O)c(F)c1']; [0.9999850988388062, 0.9999207854270935]
+Cc1c(-c2cn(C)c3ccccc23)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.999968409538269]
+COC(=O)c1ccc(Cl)c(-c2ccc3nc[nH]c(=O)c3c2C)c1; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999741911888123, 0.9978299736976624]
+Cc1c(-c2ccc(F)c(Cl)c2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl']; [0.9999982118606567, 0.999990701675415, 0.964755654335022]
 Cc1c(-c2ccc(O)cc2O)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2ccc3nc[nH]c(=O)c3c2C)c1; [None]; [None]; [0]
+Cc1c(-c2ccnc(N)c2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(I)ccn1', 'Nc1cc(Br)ccn1']; [0.9999866485595703, 0.9999425411224365, 0.9780480861663818, 0.7646859884262085]
+Cc1c(-c2cc(O)ccc2Cl)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1cc(O)ccc1Cl']; [0.9995539784431458, 0.9974279403686523]
 Cc1c(-c2cnn3ncccc23)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1c(-c2c[nH]c3cnccc23)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+COc1cc(CCc2ccc3nc[nH]c(=O)c3c2C)ccc1O; [None]; [None]; [0]
+Cc1c(-c2[nH]cnc2-c2ccc(F)cc2)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.9653626680374146]
+Cc1ccc2[nH]ncc2c1-c1ccc2nc[nH]c(=O)c2c1C; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1ccc2[nH]ncc2c1I']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1cccc2nc[nH]c(=O)c12']; [0.9999921321868896, 0.9999243021011353, 0.9995427131652832, 0.9942031502723694, 0.9571619033813477]
+Cc1ccc(CO)cc1-c1ccc2nc[nH]c(=O)c2c1C; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O']; [0.9999992847442627, 0.9992806315422058]
 Cc1c(COc2ccccc2Cl)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc(F)c(Cl)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c([C@H](CO)c2ccccc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(CCc2ccc(Cl)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2nc[nH]c(=O)c2c1C; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1ccc2nc[nH]c(=O)c2c1C; [None]; [None]; [0]
-Cc1c(-c2cc(O)ccc2Cl)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2c(Cl)ccc3c2OCO3)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc2nc[nH]c(=O)c2c1C; [None]; [None]; [0]
+COc1ccc(-c2ccc3nc[nH]c(=O)c3c2C)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999822378158569, 0.9999544620513916, 0.9574519395828247]
+COc1cc(OC)cc(-c2ccc3nc[nH]c(=O)c3c2C)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999778270721436, 0.9999397993087769, 0.9983895421028137, 0.8297044038772583]
 Cc1c(-c2cnc(O)c(Cl)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1c(-c2cnc3[nH]ccc3c2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999990463256836, 0.9999985694885254]
 Cc1c(-c2c[nH]c(C(N)=O)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc3nc[nH]c(=O)c3c2C)c1; [None]; [None]; [0]
-COc1ccc(-c2ccc3nc[nH]c(=O)c3c2C)cc1OC; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3ccc4nc[nH]c(=O)c4c3C)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4nc[nH]c(=O)c4c3C)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3nc[nH]c(=O)c3c2C)c1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc4nc[nH]c(=O)c4c3C)ccc12; [None]; [None]; [0]
+Cc1c(-c2ccc(S(C)(=O)=O)cc2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999954700469971, 0.9999768137931824, 0.9259178638458252]
+COc1cc(CCc2ccc3nc[nH]c(=O)c3c2C)cc(OC)c1; [None]; [None]; [0]
 Cc1c(-c2ccc(NC(N)=O)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2cnc3[nH]ccc3c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc(S(C)(=O)=O)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1c(-c2cncc(O)c2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1']; [0.9998173117637634, 0.9964137077331543, 0.8078056573867798]
+Cc1c(-c2ccc3c(c2)CC(=O)N3)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1']; [0.9999621510505676, 0.9999345541000366, 0.9952605962753296]
 Cc1c(-c2nc3ccccc3s2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2cncc(O)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc3c(c2)CC(=O)N3)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c([C@H](C)CC(N)=O)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-CNc1nccc(-c2ccc3nc[nH]c(=O)c3c2C)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1ccc2nc[nH]c(=O)c2c1C; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc2nc[nH]c(=O)c2c1C; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccc4nc[nH]c(=O)c4c3C)ccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1ccc2nc[nH]c(=O)c2c1C; [None]; [None]; [0]
-Cc1c(N(C)c2cccc(Cl)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc2nc[nH]c(=O)c2c1C; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999223947525024]
+CCc1cc(O)c(F)cc1-c1ccc2nc[nH]c(=O)c2c1C; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1Br']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999985694885254, 0.9991151094436646]
+Cc1c(N(C)c2cccc(Cl)c2)ccc2nc[nH]c(=O)c12; ['CNc1cccc(Cl)c1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9957348108291626]
+Cc1cc(O)ccc1-c1ccc2nc[nH]c(=O)c2c1C; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1Br']; [0.9998615384101868, 0.9998288154602051, 0.8346105217933655]
+CNc1nccc(-c2ccc3nc[nH]c(=O)c3c2C)n1; [None]; [None]; [0]
+Cc1c([C@H](C)CC(N)=O)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc3nc[nH]c(=O)c3c2C)c1C; [None]; [None]; [0]
 CCc1sccc1-c1ccc2nc[nH]c(=O)c2c1C; [None]; [None]; [0]
-Cc1c(-c2cc(Cl)c(O)c(Cl)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2cc(O)n3nccc3n2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc3c(c2)CCN3)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1c(-c2cc(Cl)c(O)c(Cl)c2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9999492764472961, 0.9998401999473572]
+Cc1c(-c2cc(C(F)F)n[nH]2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+CNc1nc(-c2ccc3nc[nH]c(=O)c3c2C)ncc1F; [None]; [None]; [0]
+Cc1c(-c2ccncc2Cl)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1ccncc1Cl']; [0.9999732971191406, 0.9999362230300903]
+Cc1c(-c2ccc3c(c2)CCN3)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Brc1ccc2c(c1)CCN2']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999943971633911, 0.9999920129776001, 0.9955952167510986, 0.8958778381347656]
+Cc1c(Nc2ccncc2)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Nc1ccncc1']; [0.999517560005188]
+Cc1c(-c2cc(O)n3nccc3n2)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Oc1ccnc2ccnn12']; [0.990933895111084]
+CNC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2C)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999887943267822, 0.9999222755432129]
+Cc1c(-c2ccc(Br)cc2F)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1ccc(Br)cc1F']; [0.9999752640724182, 0.998541533946991]
 Cc1oc(-c2ccc3nc[nH]c(=O)c3c2C)cc1C(=O)[O-]; [None]; [None]; [0]
+Cc1c(N(C)c2cccc3[nH]ncc23)ccc2nc[nH]c(=O)c12; ['CNc1cccc2[nH]ncc12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9994529485702515]
 Cc1c(-c2ccc3[nH]c(=O)[nH]c3c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1c(-c2cc(O)cc(Br)c2)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['OB(O)c1cc(O)cc(Br)c1', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Oc1cc(Br)cc(Br)c1']; [0.9998461604118347, 0.9955416917800903, 0.8022881746292114]
+Cc1cc(-c2ccc3nc[nH]c(=O)c3c2C)ccc1C(N)=O; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; [0.9999808073043823]
 Cc1c(-c2c(N)cnn2C)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(Nc2ccncc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc(Br)cc2F)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1c(-c2ccc(C(=O)NC3CC3)cc2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999973773956299, 0.999977707862854, 0.8943432569503784]
+Cc1nc2ccc(-c3ccc4nc[nH]c(=O)c4c3C)cc2o1; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; [0.9999988079071045, 0.9999973773956299, 0.9607164859771729]
 Cc1c(-c2[nH]nc3ccc(F)cc23)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3nc[nH]c(=O)c3c2C)c1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2C)cc1; [None]; [None]; [0]
-Cc1c(N(C)c2cccc3[nH]ncc23)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2cc(O)cc(Br)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc(C(=O)NC3CC3)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1cc(-c2ccc3nc[nH]c(=O)c3c2C)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4nc[nH]c(=O)c4c3C)cc2o1; [None]; [None]; [0]
-Cc1c(-c2cc(F)c(O)c(F)c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ccc3c(=O)[nH][nH]c3c2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2[nH]cnc2-c2ccc(F)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-CSc1cccc(-c2ccc3nc[nH]c(=O)c3c2C)c1; [None]; [None]; [0]
-Cc1c(OCc2ccccc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1cc(-c2ccc3nc[nH]c(=O)c3c2C)cc(C)c1O; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(I)cc(C)c1O']; [0.9998512268066406, 0.998884916305542, 0.8383252024650574]
+Cc1c(-c2cc(F)c(O)c(F)c2)ccc2nc[nH]c(=O)c12; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F']; [0.9999222755432129, 0.9991631507873535, 0.8011717796325684]
+CSc1cccc(-c2ccc3nc[nH]c(=O)c3c2C)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1']; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1c(Br)ccc2nc[nH]c(=O)c12']; [0.9999794960021973, 0.9998385906219482]
+Cc1c(Oc2ccc(F)cc2F)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['Oc1ccc(F)cc1F']; [0.9998505115509033]
+Cc1c(OCc2cccc3ccccc23)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['OCc1cccc2ccccc12']; [0.9772262573242188]
+Cc1c(-c2ccc3c(=O)[nH][nH]c3c2)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['O=c1[nH][nH]c2cc(Br)ccc12']; [0.9484413862228394]
+Cc1c(NCc2c(F)cccc2Cl)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12', 'Cc1cccc2nc[nH]c(=O)c12']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.9997876882553101, 0.9601233005523682]
+Cc1c(OCc2ccc(F)cc2F)ccc2nc[nH]c(=O)c12; ['Cc1c(Br)ccc2nc[nH]c(=O)c12']; ['OCc1ccc(F)cc1F']; [0.9964447021484375]
 Cc1c(CCc2c[nH]c3ccccc23)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(OCc2cccc3ccccc23)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(-c2ocnc2-c2ccc(F)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(Oc2ccc(F)cc2F)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(Oc2ccccc2F)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1ccc2nc[nH]c(=O)c2c1C; [None]; [None]; [0]
-Cc1c(-c2ccc(F)cc2Cl)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9999253153800964, 0.9998611211776733, 0.9994800090789795, 0.9915848970413208]
 Cc1c(-c2cn[nH]c2-c2ccc(Cl)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(OCc2ccc(F)cc2F)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+Cc1c(-c2ocnc2-c2ccc(F)cc2)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+CCOc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9997897148132324, 0.999763011932373, 0.9996315240859985, 0.999171257019043, 0.9991168975830078, 0.9959350228309631, 0.9845979809761047, 0.9808130264282227]
 Cc1c(CCc2ccc(F)cc2F)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
-Cc1c(NCc2c(F)cccc2Cl)ccc2nc[nH]c(=O)c12; [None]; [None]; [0]
+COc1cc(-c2ccc3nc[nH]c(=O)c3c2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9994116425514221, 0.9975824356079102, 0.9930301904678345, 0.9912262558937073, 0.9632750153541565, 0.960098147392273]
+CS(=O)(=O)c1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999861121177673, 0.9999856948852539, 0.9999266862869263, 0.9998064041137695, 0.9992743730545044, 0.9876998662948608]
+COc1ncccc1-c1ccc2nc[nH]c(=O)c2c1; ['COc1ncccc1B(O)O', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1I', 'COc1ncccc1Br']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999884843826294, 0.9998495578765869, 0.9998151063919067, 0.9995338916778564, 0.9995266199111938, 0.9988316893577576, 0.9973318576812744, 0.9969058036804199, 0.995742678642273, 0.9784385561943054, 0.8871418237686157]
+Cc1ccc2ncn(-c3ccc4nc[nH]c(=O)c4c3)c2c1; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1']; ['O=c1[nH]cnc2ccc(F)cc12', 'O=c1[nH]cnc2ccc(F)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9837929010391235, 0.9697085022926331, 0.9469281435012817, 0.8753118515014648, 0.8136820793151855]
+COc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9993355870246887, 0.9992401599884033, 0.9988961815834045, 0.9984475374221802, 0.9968704581260681, 0.9934324026107788, 0.9702699184417725, 0.9627360105514526, 0.9553725719451904]
+O=c1[nH]cnc2ccc(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2ccc3nc[nH]c(=O)c3c2)c1; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.999441921710968, 0.9968693256378174, 0.9737077951431274]
+O=c1[nH]cnc2ccc(-c3ccc(N4CCOCC4)cc3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999955892562866, 0.9999940395355225, 0.999984622001648, 0.9999823570251465, 0.9999536275863647, 0.9998592138290405, 0.9997261762619019, 0.9996814131736755, 0.9845675826072693]
+O=c1[nH]cnc2ccc(-c3cccc(O)c3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'O=c1[nH]cnc2ccc(I)cc12', 'Oc1cccc(I)c1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9994896054267883, 0.9928112626075745, 0.9794079065322876, 0.971451461315155, 0.896818220615387, 0.8951220512390137, 0.7736467123031616]
+O=C(Nc1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1)C1CC1; ['O=C(Nc1cccc(Br)c1)C1CC1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.9638358354568481]
 Cc1nc(C(C)(C)O)sc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3nc4ccccc4[nH]3)cc12; ['Nc1ccccc1N']; ['O=C(O)c1ccc2nc[nH]c(=O)c2c1']; [0.9882681369781494]
+O=C([O-])c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9999736547470093, 0.9999654293060303, 0.999885618686676, 0.9997881650924683, 0.9997328519821167, 0.997975766658783]
+O=c1[nH]cnc2ccc(Nc3ncccn3)cc12; ['Clc1ncccn1', 'Brc1ncccn1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ncccn1', 'Nc1ncccn1', 'CSc1ncccn1']; ['Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ncccn1', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'Nc1ccc2nc[nH]c(=O)c2c1']; [0.9999326467514038, 0.9996899366378784, 0.9988073110580444, 0.9975262880325317, 0.9972124695777893, 0.9944674968719482, 0.9932897686958313, 0.9918520450592041]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc4nc[nH]c(=O)c4c3)cc2)CC1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3nccc4ccccc34)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3ccc(OCCO)cc3)cc12; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1']; [0.9999431371688843, 0.9999095797538757, 0.9996285438537598, 0.999430775642395, 0.997428297996521]
+O=C(c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999988079071045, 0.9999978542327881, 0.9999975562095642, 0.9999869465827942, 0.9999867081642151, 0.9999752044677734, 0.9999415874481201, 0.9998601675033569, 0.9958866834640503]
+O=c1[nH]cnc2ccc(-c3cccc(C4CCNCC4)c3)cc12; ['Brc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9979808926582336, 0.859656572341919]
+CC(=O)NCc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9999755620956421, 0.999931275844574, 0.9998849630355835, 0.999843418598175, 0.9989227652549744, 0.996180534362793, 0.9823780059814453]
 N#Cc1cccc(Cn2cc(-c3ccc4nc[nH]c(=O)c4c3)cn2)c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3ccc4c(c3)CS(=O)(=O)C4)cc12; [None]; [None]; [0]
-CC(C)c1cc(-c2ccc3nc[nH]c(=O)c3c2)nc(N)n1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2ccc3nc[nH]c(=O)c3c2)nc1)N1CCOCC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9989564418792725, 0.998096227645874, 0.9962895512580872, 0.9908215999603271, 0.9878678321838379]
+CN(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999604225158691, 0.9999262094497681, 0.9998867511749268, 0.99986332654953, 0.9996777176856995, 0.9986066222190857, 0.9970679879188538, 0.9955297112464905, 0.8403912782669067]
+O=c1[nH]cnc2ccc(-c3ccc(C(F)(F)F)cc3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'FC(F)(F)c1ccc(Br)cc1']; ['OB(O)c1ccc(C(F)(F)F)cc1', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9998952150344849, 0.9998912811279297, 0.9996737241744995, 0.9995522499084473, 0.9989736676216125, 0.9977538585662842, 0.7925242781639099]
+O=c1[nH]cnc2ccc(-c3ccc4c(c3)CS(=O)(=O)C4)cc12; ['O=S1(=O)Cc2ccc(Br)cc2C1']; ['O=c1[nH]cnc2ccc(I)cc12']; [0.9935572147369385]
+Cc1nc(C)c(-c2ccc3nc[nH]c(=O)c3c2)s1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9961111545562744, 0.9909043908119202, 0.9636904001235962]
+CN(C)S(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccccc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9999874830245972, 0.9999719858169556, 0.9999487400054932, 0.9999377727508545, 0.9997844696044922, 0.9990646243095398, 0.9226264953613281, 0.7802884578704834]
+C[C@@H](O)COc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3ccc4nc[nH]c(=O)c4c3)c2)CC1; [None]; [None]; [0]
+CC(C)c1cc(-c2ccc3nc[nH]c(=O)c3c2)nc(N)n1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3ccc(Br)cc3)cc12; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)COB(c2ccc(Br)cc2)OC1', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Brc1ccc(I)cc1', 'Brc1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1ccc(Br)cc1', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc(Br)cc1', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc(Br)cc1', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9999178647994995, 0.9995447397232056, 0.9990127086639404, 0.9989147186279297, 0.9909797310829163, 0.9893394708633423, 0.9719911217689514, 0.9218313694000244, 0.8971469402313232]
+O=C(c1ccccc1)N1CC[C@H](c2ccc3nc[nH]c(=O)c3c2)C1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999879598617554, 0.9999727010726929, 0.9998928308486938, 0.878282904624939]
+CCN(CC)C(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999946355819702, 0.9999866485595703, 0.9999691247940063, 0.9999650716781616, 0.9998471736907959, 0.9995677471160889, 0.9994761943817139, 0.998898446559906, 0.989344596862793, 0.961199164390564]
 CCCOc1ccc(-c2ccc3nc[nH]c(=O)c3c2)nc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9931203126907349, 0.9906882047653198, 0.9807651042938232, 0.9764794111251831, 0.8651978969573975]
+CS(=O)(=O)N1CCC(c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1ccc2nc[nH]c(=O)c2c1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1[Mg]Br']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9995473027229309, 0.9989417791366577, 0.9984979629516602, 0.9975942373275757, 0.9943492412567139, 0.9694242477416992, 0.8035470247268677]
+O=c1[nH]cnc2ccc(-c3ccn4nccc4n3)cc12; [None]; [None]; [0]
+COc1cc(OC)c(-c2ccc3nc[nH]c(=O)c3c2)cc1Cl; ['COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Br)cc1Cl']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9981553554534912, 0.8002088069915771]
+Cc1c(C(=O)[O-])cccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3ccccc3-n3cccn3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Brc1ccccc1-n1cccn1', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Brc1ccccc1-n1cccn1']; ['OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1ccccc1-n1cccn1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999850988388062, 0.9999554753303528, 0.9999430179595947, 0.9999209642410278, 0.9998816251754761, 0.9997478723526001, 0.9984164237976074, 0.983502984046936]
+O=c1[nH]cnc2ccc(-c3ccc4c(c3)CCO4)cc12; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'Brc1ccc2c(c1)CCO2', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Ic1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc2c(c1)CCO2', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1ccc2c(c1)CCO2', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1ccc2c(c1)CCO2', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9998750686645508, 0.9998198747634888, 0.9997638463973999, 0.9993979334831238, 0.9993926882743835, 0.9993797540664673, 0.9986909627914429, 0.9971309304237366, 0.8991721868515015]
 CC(C)c1ccc2nc(-c3ccc4nc[nH]c(=O)c4c3)[nH]c2c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9992972612380981, 0.9984424114227295, 0.9984030723571777, 0.9968559741973877, 0.9868867993354797, 0.9540371894836426]
+O=c1[nH]cnc2ccc(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3cccc4c3OCO4)cc12; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'Brc1cccc2c1OCO2', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Ic1cccc2c1OCO2', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Brc1cccc2c1OCO2']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1cccc2c1OCO2', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999988317489624, 0.9999877214431763, 0.9999688863754272, 0.9999473094940186, 0.9999395608901978, 0.9999111890792847, 0.9999028444290161, 0.999130129814148, 0.9915437698364258]
+COc1cc(-c2ccc3nc[nH]c(=O)c3c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9984328746795654, 0.9977728128433228, 0.9974218606948853, 0.9970764517784119, 0.9847500324249268, 0.984306812286377, 0.9069743156433105]
+CC(C)(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9996767044067383, 0.9996306896209717, 0.9993212223052979, 0.9991660118103027, 0.9969261884689331, 0.9896507263183594, 0.9846241474151611, 0.9804010391235352]
+O=c1[nH]cnc2ccc(-c3cnc4ccccc4c3)cc12; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'Ic1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1cnc2ccccc2c1', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Brc1cnc2ccccc2c1', 'Br[Zn]c1cnc2ccccc2c1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cnc2ccccc2c1', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9999171495437622, 0.9995822906494141, 0.9993691444396973, 0.9993677735328674, 0.9973220825195312, 0.9951122999191284, 0.9902724623680115, 0.9788808822631836, 0.9597707390785217, 0.9263546466827393]
+CN(C)C(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999959468841553, 0.999982476234436, 0.9999785423278809, 0.9999697208404541, 0.9998054504394531, 0.9983478784561157, 0.9980687499046326, 0.9969065189361572, 0.8930454254150391]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(Cc3nc4c(F)c(F)ccc4[nH]3)cc12; [None]; [None]; [0]
-O=C(C1CC1)N1CC(Nc2ccc3nc[nH]c(=O)c3c2)C1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2ccc3nc[nH]c(=O)c3c2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1']; ['Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1']; [0.999887228012085, 0.9996762275695801]
+O=c1[nH]cnc2ccc(-c3cc4ccccc4s3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1', 'O=c1[nH]cnc2ccc(Br)cc12', 'Brc1cc2ccccc2s1']; ['OB(O)c1cc2ccccc2s1', 'OB(O)c1cc2ccccc2s1', 'O=c1[nH]cnc2ccc(Br)cc12', 'c1ccc2sccc2c1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999369382858276, 0.9999149441719055, 0.9991095066070557, 0.9933825731277466, 0.9801554679870605]
+CSc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.999743640422821, 0.9996458292007446, 0.9994237422943115, 0.9988230466842651, 0.9976894855499268, 0.9931093454360962, 0.8579168319702148, 0.8568812608718872]
+O=c1[nH]cnc2ccc(-c3scc4c3OCCO4)cc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999679327011108, 0.9999231100082397, 0.9999181032180786, 0.9994485378265381, 0.9990664124488831, 0.9975876808166504, 0.9954123497009277, 0.9658873677253723]
+Nc1nc(-c2ccc3nc[nH]c(=O)c3c2)cs1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3cc(-c4ccccc4)[nH]n3)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3ccc(F)cc3Cl)cc12; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'Fc1ccc(Br)c(Cl)c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9999157786369324, 0.9998456835746765, 0.9998006820678711, 0.9995642900466919, 0.9858498573303223, 0.9633406400680542]
+CCN1CCN(Cc2ccc(-c3ccc4nc[nH]c(=O)c4c3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9999168515205383, 0.9996974468231201, 0.9949499368667603, 0.9874578714370728]
+Cc1cc(-c2ccc3nc[nH]c(=O)c3c2)nc(N)n1; [None]; [None]; [0]
+O=C1CCc2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(I)ccc2N1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.99997878074646, 0.9999436140060425, 0.9997736215591431, 0.9971712827682495, 0.9780556559562683]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
+COc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9988142251968384, 0.998220682144165, 0.997969388961792, 0.9979016780853271, 0.9978359937667847, 0.9950723648071289, 0.9846326112747192, 0.9502378106117249]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3ccc(Cl)cc3Cl)cc12; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Clc1ccc(Br)c(Cl)c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1ccc(Cl)cc1Cl', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc(Cl)cc1Cl', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1ccc(Cl)cc1Cl', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999182224273682, 0.9998018741607666, 0.9997968673706055, 0.9994451403617859, 0.9984449148178101, 0.9942770004272461, 0.9847086668014526, 0.9621021747589111, 0.8974688053131104]
+CCc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc([Mg]Br)cc1', 'CCc1ccc([Mg]Br)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9999418258666992, 0.9999375343322754, 0.9997844696044922, 0.9989372491836548, 0.9987790584564209, 0.9888403415679932, 0.9873855113983154, 0.9719140529632568, 0.9429764747619629, 0.758301854133606]
+COc1cc(-c2ccc3nc[nH]c(=O)c3c2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999963641166687, 0.9999772310256958, 0.9999151825904846, 0.9998847246170044, 0.9518684148788452]
+O=c1[nH]cnc2ccc(-c3ccn(-c4cccc(Cl)c4)n3)cc12; [None]; [None]; [0]
+COc1ccc2cccc(-c3ccc4nc[nH]c(=O)c4c3)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.9059772491455078]
+Cn1cc(-c2ccc3nc[nH]c(=O)c3c2)c(C(F)(F)F)n1; ['Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999526739120483, 0.9998548030853271, 0.999595046043396, 0.9992960691452026, 0.9987896084785461, 0.9985475540161133, 0.9981311559677124, 0.9972198605537415]
+O=c1[nH]cnc2ccc(-c3ncc(Br)cn3)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3ncc4cccn4n3)cc12; [None]; [None]; [0]
+COc1cc(-c2ccc3nc[nH]c(=O)c3c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999619722366333, 0.999939501285553, 0.9999133348464966, 0.9997466802597046, 0.9991967678070068, 0.9873457551002502, 0.9461873769760132]
+COc1cc(F)c(-c2ccc3nc[nH]c(=O)c3c2)cc1OC; ['COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9997381567955017, 0.9995195865631104, 0.9988710880279541, 0.9984204769134521, 0.9943061470985413, 0.993161678314209, 0.9077684879302979]
+O=c1[nH]cnc2ccc(-c3cccc4ccc(O)cc34)cc12; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9981952905654907, 0.9941291213035583, 0.9760546088218689]
+CC1(C)Cc2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc2O1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3cnn(CCO)c3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['OCCn1cc(B(O)O)cn1', 'O=c1[nH]cnc2ccc(I)cc12', 'OCCn1cc(B(O)O)cn1', 'O=c1[nH]cnc2ccc(Br)cc12', 'OCCn1cc(B(O)O)cn1', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9999634027481079, 0.999828577041626, 0.9992184042930603, 0.9989252090454102, 0.9963825941085815, 0.9903565645217896]
+O=c1[nH]cnc2ccc(-c3cc4ccccn4n3)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3ncc(Cl)cn3)cc12; [None]; [None]; [0]
+Cc1csc2c(-c3ccc4nc[nH]c(=O)c4c3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
 Nc1cc(-c2ccc3nc[nH]c(=O)c3c2)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1cc(-c2ccc3nc[nH]c(=O)c3c2)c(OC)cc1Br; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)nc1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9997859001159668, 0.9994343519210815, 0.9993846416473389, 0.9992562532424927, 0.9970279335975647, 0.9961849451065063, 0.9954668283462524, 0.9900375604629517, 0.8637233972549438]
+NC(=O)c1ccc(Cc2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(Cc3ccc(S(=O)(=O)CCO)cc3)cc12; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
+COc1ccc2oc(-c3ccc4nc[nH]c(=O)c4c3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2occc2c1', 'COc1ccc2occc2c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'Nc1ccc2nc[nH]c(=O)c2c1']; [0.9997915029525757, 0.9997755885124207, 0.9967678785324097, 0.9663176536560059, 0.9214184284210205]
 COc1ccc2c(c1)c(-c1ccc3nc[nH]c(=O)c3c1)cn2C; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3ccc4nc[nH]c(=O)c4c3)[nH]c2c1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3ccc4cn[nH]c4c3)cc12; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Brc1ccc2cn[nH]c2c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1ccc2cn[nH]c2c1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999854564666748, 0.9999817609786987, 0.9999809265136719, 0.9999116659164429, 0.9996985197067261, 0.9993510246276855, 0.999222457408905, 0.9378548860549927]
+CCNC(=O)N1CCC(c2ccc3nc[nH]c(=O)c3c2)CC1; [None]; [None]; [0]
+CCn1cc(-c2ccc3nc[nH]c(=O)c3c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Br)cn1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999604225158691, 0.9999291896820068, 0.9998304843902588, 0.9996987581253052, 0.9991929531097412, 0.9979531764984131, 0.7648768424987793]
+O=c1[nH]cnc2ccc(-c3cc4ccccc4o3)cc12; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'Nc1ccc2nc[nH]c(=O)c2c1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1']; ['OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1', 'c1ccc2occc2c1', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999191164970398, 0.9998311400413513, 0.9047247171401978, 0.8740737438201904, 0.8389396071434021]
+C[NH+](C)Cc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
+COc1ccc2nc(-c3ccc4nc[nH]c(=O)c4c3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=C(O)c1ccc2nc[nH]c(=O)c2c1']; [0.9990051984786987]
+CC(C)c1nn(C)cc1-c1ccc2nc[nH]c(=O)c2c1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.999453067779541, 0.9989288449287415, 0.9958814382553101, 0.9680287837982178, 0.9102811813354492]
+COc1ccc(F)c(C(=O)Nc2ccc3nc[nH]c(=O)c3c2)c1; ['COc1ccc(F)c(C(=O)O)c1', 'COC(=O)c1cc(OC)ccc1F']; ['Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1']; [0.9996960163116455, 0.9993453621864319]
+O=c1[nH]cnc2ccc(-c3ncc4sccc4n3)cc12; ['O=c1[nH]cnc2ccc(I)cc12']; ['c1ncc2sccc2n1']; [0.9680469632148743]
+CNC(=O)c1ccc(OC)c(-c2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3cc(-c4cccnc4)ccn3)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3ccc(OC(F)(F)F)cc3)cc12; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999979734420776, 0.9999977350234985, 0.9999897480010986, 0.9999773502349854, 0.9999538660049438, 0.9998586177825928, 0.9993990659713745, 0.9991276264190674, 0.9943645000457764]
+O=C(Nc1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1)N1CCCC1; [None]; [None]; [0]
+Cn1cc(-c2ccc3nc[nH]c(=O)c3c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9997031688690186, 0.9991025924682617]
+Cn1cc(Br)cc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999930262565613, 0.9999864101409912, 0.9999862313270569, 0.9999565482139587, 0.9999028444290161, 0.9997822046279907, 0.9994899034500122, 0.9989312887191772, 0.9541783332824707]
+Cn1ncc2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999988079071045, 0.9999982118606567, 0.9999967813491821, 0.9999960660934448, 0.9999796152114868, 0.9999551773071289, 0.9998766183853149, 0.9997499585151672, 0.9774785041809082]
 O=c1[nH]cnc2ccc(-c3ncn4c3CCCC4)cc12; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3ccc4nc[nH]c(=O)c4c3)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1ccc2nc[nH]c(=O)c2c1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3ccc4nc[nH]c(=O)c4c3)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc([Mg]Br)cn1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.999984860420227, 0.99996018409729, 0.9998687505722046, 0.99985271692276, 0.9995434284210205, 0.9973328113555908, 0.9971150159835815, 0.9908531904220581, 0.9585390090942383, 0.916456937789917]
+Cc1cc(-c2ccc3nc[nH]c(=O)c3c2)cc(C)c1OCCO; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3ccc4nc[nH]c(=O)c4c3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.9999772310256958]
+O=C(Nc1ccc2nc[nH]c(=O)c2c1)c1cccc(OC(F)(F)F)c1; ['Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1', 'COC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'Nc1ccc2nc[nH]c(=O)c2c1']; [0.9999963045120239, 0.9999864101409912, 0.9997503757476807]
+CCc1cccc(-c2ccc3nc[nH]c(=O)c3c2)n1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999987006187439, 0.9999604821205139, 0.9999123215675354, 0.9995682239532471, 0.9833766222000122]
+O=c1[nH]cnc2ccc(-c3ccc(CCO)cc3)cc12; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1']; [0.999883770942688, 0.9998459815979004, 0.9996057152748108, 0.9985799789428711, 0.9978581070899963, 0.9786484241485596, 0.949893593788147, 0.8966161012649536]
 Cc1ncc(-c2ccc(-c3ccc4nc[nH]c(=O)c4c3)cc2)n1C; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc21; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1ccc2nc[nH]c(=O)c2c1; ['COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9995336532592773, 0.8494101166725159]
+Cc1cc(N2CCOCC2)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9997711181640625, 0.997830867767334, 0.9961853623390198]
+CCNC(=O)Cc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.7769815921783447]
+CS(=O)(=O)c1ccc(Cl)c(-c2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9996137619018555, 0.9990323781967163, 0.9974173307418823, 0.9621061086654663, 0.9494227170944214]
+CNC(=O)c1ccc(C)c(-c2ccc3nc[nH]c(=O)c3c2)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)nc1; ['CN(C)C(=O)c1ccc(Br)nc1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.9810413122177124]
 Cn1nc(-c2ccc3nc[nH]c(=O)c3c2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2ccc3nc[nH]c(=O)c3c2)ncc1F; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3c(Cl)ccc4c3OCO4)cc12; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2']; [0.9997159242630005, 0.9994950294494629, 0.9279304146766663]
+O=c1[nH]cnc2ccc(-c3ccc(Cl)c(O)c3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1ccc(Cl)c(O)c1', 'OB(O)c1ccc(Cl)c(O)c1', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9997960329055786, 0.9996353387832642, 0.9990187287330627, 0.9989959597587585, 0.9901859164237976]
+O=c1[nH]cnc2ccc(-c3cccc4ncccc34)cc12; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cccc2ncccc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'Ic1cccc2ncccc12', 'Ic1cccc2ncccc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Brc1cccc2ncccc12']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1cccc2ncccc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cccc2ncccc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cccc2ncccc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9998865723609924, 0.9998627305030823, 0.9992778897285461, 0.998676061630249, 0.9977142214775085, 0.9971969723701477, 0.9849531054496765, 0.9247395992279053, 0.9175950288772583, 0.8984106183052063]
+NC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9999345541000366, 0.9999039173126221, 0.999517560005188, 0.9987287521362305, 0.9979578256607056, 0.9346469640731812]
+O=c1[nH]cnc2ccc(Oc3ccc(F)cc3)cc12; ['Fc1ccc(Br)cc1', 'O=c1[nH]cnc2ccc(Br)cc12', 'Fc1ccc(F)cc1', 'O=c1[nH]cnc2ccc(F)cc12', 'Fc1ccc(Cl)cc1', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['O=c1[nH]cnc2ccc(O)cc12', 'Oc1ccc(F)cc1', 'O=c1[nH]cnc2ccc(O)cc12', 'Oc1ccc(F)cc1', 'O=c1[nH]cnc2ccc(O)cc12', 'Oc1ccc(F)cc1']; [0.998105525970459, 0.9980135560035706, 0.9689292907714844, 0.9601778388023376, 0.9208993911743164, 0.9022222757339478]
+Cc1ccc(C(=O)NCCO)cc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc2nc[nH]c(=O)c2c1; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999209642410278, 0.9997586607933044]
+O=c1[nH]cnc2ccc(-c3c(Cl)cccc3Cl)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'Clc1cccc(Cl)c1Br', 'O=c1[nH]cnc2ccc(Br)cc12', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1c(Cl)cccc1Cl', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1c(Cl)cccc1Cl', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1c(Cl)cccc1Cl']; [0.9997043609619141, 0.999420702457428, 0.9992061257362366, 0.9975405931472778, 0.9422712922096252, 0.8284426331520081]
+O=c1[nH]cnc2ccc(-c3ccc(O)cc3Cl)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12']; ['OB(O)c1ccc(O)cc1Cl', 'OB(O)c1ccc(O)cc1Cl', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'Oc1ccc(Br)c(Cl)c1']; [0.998782753944397, 0.997684121131897, 0.9912329912185669, 0.9770311713218689, 0.9661861658096313]
+O=c1[nH]cnc2ccc(-c3n[nH]c4ccccc34)cc12; ['Brc1n[nH]c2ccccc12']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.8578919172286987]
+COc1ccc(F)cc1-c1ccc2nc[nH]c(=O)c2c1; ['COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9994938373565674, 0.9994169473648071, 0.9994133114814758, 0.9985016584396362, 0.9954864978790283, 0.9904071688652039, 0.8934953212738037]
+O=c1[nH]cnc2ccc(-c3ccc(O)cc3F)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; ['OB(O)c1ccc(O)cc1F', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc(O)cc1F', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Oc1ccc(Br)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(I)c(F)c1']; [0.9992202520370483, 0.9980282783508301, 0.9965479373931885, 0.9930531978607178, 0.9663386344909668, 0.9363788366317749, 0.9038481712341309, 0.8829166889190674]
+COc1cc(F)ccc1-c1ccc2nc[nH]c(=O)c2c1; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(F)ccc1Br']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999028444290161, 0.9999006986618042, 0.9998473525047302, 0.9996228218078613, 0.9995545148849487, 0.9995160698890686, 0.9986262321472168, 0.99748694896698, 0.9911949634552002, 0.9110302925109863]
+Nc1nccc(-c2ccc3nc[nH]c(=O)c3c2)n1; ['Nc1nccc(Br)n1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.923163890838623]
+COC(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)o1; ['COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'Nc1ccc2nc[nH]c(=O)c2c1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9998497366905212, 0.9997429847717285, 0.9924583435058594, 0.9790887832641602, 0.8657156229019165, 0.8636674880981445]
+O=c1[nH]cnc2ccc(-c3cccc(Br)c3)cc12; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cccc(Br)c1', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1']; [0.999796450138092, 0.9995023012161255, 0.9946354627609253, 0.9943408966064453, 0.9694982767105103, 0.9556984901428223, 0.9379293918609619]
+O=c1[nH]cnc2ccc(-c3ccc4ccccc4c3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc2ccccc2c1', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1ccc2ccccc2c1', 'c1ccc2ccccc2c1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9998558759689331, 0.9997930526733398, 0.9997638463973999, 0.9997426271438599, 0.999545693397522, 0.9989049434661865, 0.8118741512298584, 0.786194920539856]
 O=c1[nH]cnc2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)cc12; [None]; [None]; [0]
-O=c1[nH]cnc2ccc(-c3cnn4ncccc34)cc12; [None]; [None]; [0]
+COc1cc(CCc2ccc3nc[nH]c(=O)c3c2)ccc1O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc3nc[nH]c(=O)c3c2)c1; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(I)c1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9997957944869995, 0.9993975162506104, 0.9989790916442871, 0.9958045482635498, 0.9935716986656189, 0.985695481300354, 0.9828082323074341]
+Cc1nc2c(F)cc(-c3ccc4nc[nH]c(=O)c4c3)cc2[nH]1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3cn[nH]c3Cl)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3ccc(O)c(F)c3)cc12; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1']; [0.9998069405555725, 0.9997093677520752, 0.9996484518051147, 0.9992944002151489, 0.9974862337112427, 0.9903873205184937]
+O=c1[nH]cnc2ccc(-c3cnn4ncccc34)cc12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.999977707862854]
+O=c1[nH]cnc2ccc(-c3ccc(O)cc3O)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3c[nH]c4cnccc34)cc12; ['O=c1[nH]cnc2ccc(I)cc12']; ['OB(O)c1c[nH]c2cnccc12']; [0.7997715473175049]
+O=c1[nH]cnc2ccc(-c3ccc(F)c(Cl)c3)cc12; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(I)cc1Cl', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Fc1ccc(Br)cc1Cl']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc(F)c(Cl)c1', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1ccc(F)c(Cl)c1', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc(F)c(Cl)c1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999923706054688, 0.9999896883964539, 0.9999818801879883, 0.9999508857727051, 0.9999373555183411, 0.9996419548988342, 0.9995876550674438, 0.9965949058532715, 0.9594222903251648]
+Nc1cc(-c2ccc3nc[nH]c(=O)c3c2)ccn1; ['Nc1cc(B(O)O)ccn1', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(B(O)O)ccn1', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(Br)ccn1', 'Nc1cc(I)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999791383743286, 0.9999336004257202, 0.9998729228973389, 0.9998378753662109, 0.9995138049125671, 0.999369740486145, 0.9981822967529297, 0.9975813627243042, 0.7510935068130493]
+O=c1[nH]cnc2ccc(-c3cc(O)ccc3Cl)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C']; ['OB(O)c1cc(O)ccc1Cl', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cc(O)ccc1Cl', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.992194414138794, 0.9403482675552368, 0.9273642301559448, 0.8288025856018066]
+Cc1ccc(CO)cc1-c1ccc2nc[nH]c(=O)c2c1; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1B(O)O']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9999539256095886, 0.999839723110199, 0.9993399381637573, 0.9972907304763794, 0.9958679676055908, 0.9938783049583435, 0.8282513618469238, 0.7987899780273438]
+Cc1ccc2[nH]ncc2c1-c1ccc2nc[nH]c(=O)c2c1; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999159574508667, 0.9999086856842041, 0.999893069267273, 0.9998469948768616, 0.9969804286956787, 0.9968976974487305, 0.9962683916091919, 0.9832507371902466, 0.8636610507965088]
+O=c1[nH]cnc2ccc(-c3cnc(O)c(Cl)c3)cc12; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Oc1ncc(I)cc1Cl']; [0.9998183846473694, 0.9995150566101074, 0.9955434799194336, 0.9575924277305603]
+O=c1[nH]cnc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(COc3ccccc3Cl)cc12; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(I)c1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999693751335144, 0.9996829032897949, 0.9994897842407227, 0.9989025592803955, 0.998537540435791, 0.9974578619003296, 0.9964200258255005, 0.9861994385719299]
+NC(=O)c1cc(-c2ccc3nc[nH]c(=O)c3c2)c[nH]1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3cnc4[nH]ccc4c3)cc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Brc1cnc2[nH]ccc2c1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1cnc2[nH]ccc2c1', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999916553497314, 0.9999844431877136, 0.999981701374054, 0.9998414516448975, 0.999727189540863, 0.9988903999328613, 0.9949054718017578]
+CS(=O)(=O)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12']; [0.9999371767044067, 0.9998818039894104, 0.9998599290847778, 0.9998505115509033, 0.9994669556617737, 0.9992505311965942, 0.9853171110153198, 0.9559044241905212]
+Cc1nc2ccc(-c3ccc4nc[nH]c(=O)c4c3)cc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc12; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; [None]; [None]; [0]
+O=C1Cc2cc(-c3ccc4nc[nH]c(=O)c4c3)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(I)ccc2N1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999128580093384, 0.9999076128005981, 0.9998133182525635, 0.9994775056838989, 0.9992730617523193, 0.9964156150817871, 0.980455756187439, 0.9353994131088257]
+O=c1[nH]cnc2ccc(-c3cncc(O)c3)cc12; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C']; ['O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cncc(O)c1', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9978036880493164, 0.9974774122238159, 0.9906042218208313, 0.9901338815689087, 0.7862148284912109, 0.770788848400116]
+O=c1[nH]cnc2ccc(-c3nc4ccccc4s3)cc12; [None]; [None]; [0]
+COc1cc(CCc2ccc3nc[nH]c(=O)c3c2)cc(OC)c1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3nc[nH]c(=O)c3c2)n1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1ccc2nc[nH]c(=O)c2c1; ['CNc1cccc(Cl)c1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.9504708647727966]
+Cc1cc(O)ccc1-c1ccc2nc[nH]c(=O)c2c1; ['Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9925937652587891, 0.9506716728210449, 0.9119704961776733]
 Cc1n[nH]c2cc(N(C)c3ccc4nc[nH]c(=O)c4c3)ccc12; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3cc(C(F)F)n[nH]3)cc12; ['FC(F)c1cc[nH]n1']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.9900962710380554]
+O=c1[nH]cnc2ccc(-c3ccncc3Cl)cc12; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'Clc1cnccc1I', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccncc1Cl', 'OB(O)c1ccncc1Cl', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9998064041137695, 0.9996905326843262, 0.9987209439277649, 0.9982951879501343, 0.9950921535491943, 0.9696685075759888]
+CCc1cc(O)c(F)cc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+CCc1sccc1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3cc(Cl)c(O)c(Cl)c3)cc12; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.989347517490387, 0.9784843921661377, 0.9708434343338013, 0.9507921934127808, 0.7957515716552734]
+Cc1n[nH]c(-c2ccc3nc[nH]c(=O)c3c2)c1C; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(Nc3ccncc3)cc12; ['Clc1ccncc1', 'Nc1ccncc1', 'Brc1ccncc1', 'Ic1ccncc1', 'Nc1ccncc1', 'CCOc1ccncc1', 'Nc1ccncc1', 'Fc1ccncc1', 'Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccncc1']; ['Nc1ccc2nc[nH]c(=O)c2c1', 'O=c1[nH]cnc2ccc(I)cc12', 'Nc1ccc2nc[nH]c(=O)c2c1', 'Nc1ccc2nc[nH]c(=O)c2c1', 'O=c1[nH]cnc2ccc(Br)cc12', 'Nc1ccc2nc[nH]c(=O)c2c1', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Nc1ccc2nc[nH]c(=O)c2c1', 'c1cc[n+](-c2ccncc2)cc1', 'O=C(O)c1cnccc1Cl', 'O=c1[nH]cnc2ccc(F)cc12']; [0.9984496831893921, 0.9981883764266968, 0.9978629350662231, 0.9961674213409424, 0.9958449602127075, 0.9911987781524658, 0.9788054823875427, 0.9510500431060791, 0.9505323171615601, 0.909277081489563, 0.9069309234619141]
+O=c1[nH]c2ccc(-c3ccc4nc[nH]c(=O)c4c3)cc2[nH]1; ['O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9998295307159424, 0.9997509717941284, 0.9991535544395447, 0.9988889694213867, 0.9976485967636108]
+O=c1[nH]cnc2ccc(-c3ccc4c(c3)CCN4)cc12; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'O=c1[nH]cnc2ccc(Cl)cc12', 'Brc1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2']; ['O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1ccc2c(c1)CCN2', 'O=c1[nH]cnc2ccc(Br)cc12', 'OB(O)c1ccc2c(c1)CCN2', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1ccc2c(c1)CCN2', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.999992847442627, 0.9999870657920837, 0.9999477863311768, 0.9998390674591064, 0.9998229146003723, 0.999459981918335, 0.9978389143943787, 0.9776837825775146]
+CN(c1ccc2nc[nH]c(=O)c2c1)c1cccc2[nH]ncc12; ['CNc1cccc2[nH]ncc12']; ['O=c1[nH]cnc2ccc(Br)cc12']; [0.9205940365791321]
 O=c1[nH]cnc2ccc(-c3cc(O)n4nccc4n3)cc12; [None]; [None]; [0]
+CNc1nc(-c2ccc3nc[nH]c(=O)c3c2)ncc1F; [None]; [None]; [0]
 Cc1oc(-c2ccc3nc[nH]c(=O)c3c2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2ccc3nc[nH]c(=O)c3c2)cc1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999950528144836, 0.9999934434890747, 0.9999823570251465, 0.9999669194221497, 0.9999134540557861, 0.9996356964111328, 0.9996250867843628, 0.9993516802787781, 0.9783452153205872]
+O=c1[nH]cnc2ccc(-c3cc(O)cc(Br)c3)cc12; ['O=c1[nH]cnc2ccc(I)cc12', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['OB(O)c1cc(O)cc(Br)c1', 'O=c1[nH]cnc2ccc(I)cc12', 'OB(O)c1cc(O)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1']; [0.9995007514953613, 0.982284426689148, 0.9819676876068115, 0.922080397605896]
+Cc1cc(-c2ccc3nc[nH]c(=O)c3c2)ccc1C(N)=O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999583959579468, 0.9999107122421265, 0.9998788237571716]
+O=c1[nH]cnc2ccc(-c3ccc(Br)cc3F)cc12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3[nH]nc4ccc(F)cc34)cc12; [None]; [None]; [0]
+CSc1cccc(-c2ccc3nc[nH]c(=O)c3c2)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B(O)O)c1']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9999024868011475, 0.9997583031654358, 0.9986512660980225, 0.9982931017875671, 0.9971097707748413, 0.9934971928596497, 0.9795430898666382]
+O=c1[nH]cnc2ccc(-c3cc(F)c(O)c(F)c3)cc12; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1']; [0.9994938969612122, 0.9984005093574524, 0.9978040456771851, 0.9831866025924683, 0.9817254543304443, 0.8360817432403564]
+Cc1cc(-c2ccc3nc[nH]c(=O)c3c2)cc(C)c1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O']; ['O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9723708033561707, 0.9437215328216553, 0.8393144607543945]
+Cc1nc2ccc(-c3ccc4nc[nH]c(=O)c4c3)cc2o1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; ['O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; [0.9999579191207886, 0.9997665882110596, 0.9996908903121948, 0.9995906352996826, 0.9989550113677979, 0.997703492641449, 0.9948854446411133, 0.8103452920913696]
+O=c1[nH]cnc2ccc(OCc3cccc4ccccc34)cc12; ['ClCc1cccc2ccccc12', 'BrCc1cccc2ccccc12', 'O=c1[nH]cnc2ccc(O)cc12', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12']; ['O=c1[nH]cnc2ccc(O)cc12', 'O=c1[nH]cnc2ccc(O)cc12', 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0.9941145181655884, 0.9856113195419312, 0.9698213338851929, 0.9044800996780396, 0.8310309648513794]
+O=c1[nH]cnc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(Oc3ccc(F)cc3F)cc12; ['Fc1ccc(Br)c(F)c1', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'Fc1ccc(Cl)c(F)c1', 'O=c1[nH]cnc2ccc(O)cc12', 'Fc1ccc(I)c(F)c1', 'Fc1ccc(F)c(F)c1', 'O=c1[nH]cnc2ccc(F)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12', 'O=[N+]([O-])c1ccc(F)cc1F', 'O=c1[nH]cnc2ccc([N+](=O)[O-])cc12']; ['O=c1[nH]cnc2ccc(O)cc12', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F', 'O=c1[nH]cnc2ccc(O)cc12', 'OB(O)c1ccc(F)cc1F', 'O=c1[nH]cnc2ccc(O)cc12', 'O=c1[nH]cnc2ccc(O)cc12', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F', 'O=c1[nH]cnc2ccc(O)cc12', 'Oc1ccc(F)cc1F']; [0.9999300241470337, 0.9998605251312256, 0.9997987747192383, 0.9997928142547607, 0.999265193939209, 0.9991225004196167, 0.9982025027275085, 0.9969814419746399, 0.9948066473007202, 0.914757251739502, 0.8602522611618042]
+O=c1[nH]cnc2ccc(NCc3c(F)cccc3Cl)cc12; ['Nc1ccc2nc[nH]c(=O)c2c1', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CBr', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; ['O=Cc1c(F)cccc1Cl', 'O=c1[nH]cnc2ccc(I)cc12', 'O=c1[nH]cnc2ccc(Br)cc12', 'Nc1ccc2nc[nH]c(=O)c2c1', 'O=c1[nH]cnc2ccc(F)cc12', 'O=c1[nH]cnc2ccc(Cl)cc12']; [0.9999282360076904, 0.9999122619628906, 0.9996392726898193, 0.998988151550293, 0.9840312004089355, 0.937579333782196]
+O=c1[nH]cnc2ccc(CCc3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1ccc2nc[nH]c(=O)c2c1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)cc12; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(OCc3ccc(F)cc3F)cc12; [None]; [None]; [0]
 O=c1[nH]cnc2ccc(-c3ocnc3-c3ccc(F)cc3)cc12; [None]; [None]; [0]
-CN(c1ccc2nc[nH]c(=O)c2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(O)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cccc(O)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cccc4ncccc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-CCc1ccc(-c2ccc3nc(C)[nH]c(=O)c3c2C)cc1; [None]; [None]; [0]
+Cc1nc2ccc(-c3c(Cl)ccc4c3OCO4)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc(Cl)c(O)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3n[nH]c4ccccc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+O=c1[nH]cnc2ccc(CCc3ccc(F)cc3F)cc12; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2ccc3nc(C)[nH]c(=O)c3c2C)cc1; [None]; [None]; [0]
-Cc1nc2ccc(-c3nc4ccccc4n3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3c(Cl)cccc3Cl)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(Oc3ccc(F)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(C(N)=O)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc(C(N)=O)cc3F)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(C(N)=O)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc(O)cc3Cl)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(O)cc3F)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccnc(N)n3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc2nc(C)[nH]c(=O)c2c1C; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc2nc(C)[nH]c(=O)c2c1C; [None]; [None]; [0]
+Cc1nc2ccc(Oc3ccc(F)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cc(F)c4nc(C)[nH]c4c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc2nc(C)[nH]c(=O)c2c1C; [None]; [None]; [0]
 Cc1nc2ccc(-c3cn[nH]c3Cl)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 COc1cc(-c2ccc3nc(C)[nH]c(=O)c3c2C)ccc1O; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(C(=O)[O-])cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2ccc3nc(C)[nH]c(=O)c3c2C)o1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(C(=O)[O-])cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 COc1cc(CCc2ccc3nc(C)[nH]c(=O)c3c2C)ccc1O; [None]; [None]; [0]
-Cc1nc2ccc(COc3cccc(Cl)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cccc(Br)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(O)cc3O)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(O)c(F)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4ccccc4c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2ccc3nc(C)[nH]c(=O)c3c2C)c1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cn(C)c4ccccc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(F)c(Cl)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(O)cc3O)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccnc(N)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cnn4ncccc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3c[nH]c4cnccc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(COc3ccccc3Cl)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(F)c(Cl)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc([C@H](CO)c3ccccc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(CCc3ccc(Cl)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc(O)ccc3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3c(C)ccc4[nH]ncc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cc(O)ccc3Cl)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3c(Cl)ccc4c3OCO4)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc(CO)ccc3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3c(C)ccc4[nH]ncc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cnc(O)c(Cl)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3c[nH]c(C(N)=O)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 COc1cc(OC)cc(-c2ccc3nc(C)[nH]c(=O)c3c2C)c1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cc(CO)ccc3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 COc1ccc(-c2ccc3nc(C)[nH]c(=O)c3c2C)cc1OC; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3nc(C)[nH]c(=O)c3c2C)c1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnc4[nH]ccc4c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3ccc4nc(C)[nH]c(=O)c4c3C)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4nc(C)[nH]c4c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc4[nH]ccc4c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc(NC(N)=O)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3nc4ccccc4s3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(S(C)(=O)=O)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cncc(O)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(S(C)(=O)=O)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3nc4ccccc4s3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+COc1cc(CCc2ccc3nc(C)[nH]c(=O)c3c2C)cc(OC)c1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4c(c3)CC(=O)N4)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc([C@H](C)CC(N)=O)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3nc(C)[nH]c(=O)c3c2C)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1ccc2nc(C)[nH]c(=O)c2c1C; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1ccc2nc(C)[nH]c(=O)c2c1C; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(O)cc3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3nc(C)[nH]c(=O)c3c2C)n1; [None]; [None]; [0]
+Cc1nc2ccc([C@H](C)CC(N)=O)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(N(C)c3ccc4c(C)n[nH]c4c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(O)cc3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(N(C)c3cccc(Cl)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-CCc1sccc1-c1ccc2nc(C)[nH]c(=O)c2c1C; [None]; [None]; [0]
+Cc1nc2ccc(-c3[nH]nc(C)c3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccncc3Cl)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cc(C(F)F)n[nH]3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cc(Cl)c(O)c(Cl)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4c(c3)CCN4)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cc(O)n4nccc4n3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cc(C(=O)[O-])c(C)o3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3c(N)cnn3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(Nc3ccncc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+CNc1nc(-c2ccc3nc(C)[nH]c(=O)c3c2C)ncc1F; [None]; [None]; [0]
+CCc1sccc1-c1ccc2nc(C)[nH]c(=O)c2c1C; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc(Br)cc3F)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(Nc3ccncc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3[nH]nc4ccc(F)cc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3[nH]nc(C)c3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3nc(C)[nH]c(=O)c3c2C)cc1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(C(N)=O)c(C)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(N(C)c3cccc4[nH]ncc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(C(=O)NC4CC4)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3c(N)cnn3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cc(O)cc(Br)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(C(N)=O)c(C)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc(F)c(O)c(F)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(C(=O)NC4CC4)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4nc(C)oc4c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cc(C)c(O)c(C)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 CSc1cccc(-c2ccc3nc(C)[nH]c(=O)c3c2C)c1; [None]; [None]; [0]
-Cc1nc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(OCc3ccccc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3nc(C)[nH]c(=O)c3c2C)cc1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cc(F)c(O)c(F)c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(CCc3c[nH]c4ccccc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(OCc3cccc4ccccc34)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ocnc3-c3ccc(F)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(Oc3ccc(F)cc3F)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(Oc3ccccc3F)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(-c3c(-c4ccccc4)noc3C)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(-c3ccc(F)cc3Cl)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+CCOc1ccc(Nc2ncnc3ccccc23)cc1; ['CCOc1ccc(N)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(N)cc1']; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9996767044067383, 0.9834665060043335, 0.9819670915603638]
 Cc1nc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(OCc3ccc(F)cc3F)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
-Cc1nc2ccc(CCc3ccc(F)cc3F)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
 Cc1nc2ccc(NCc3c(F)cccc3Cl)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(Nc2ncnc3ccccc23)cc1; ['CC(=O)N(C)c1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(N)cc1']; ['Clc1ncnc2ccccc12', 'CC(=O)N(C)c1ccc(N)cc1', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9993852376937866, 0.9992055892944336, 0.9905309081077576, 0.9333199262619019, 0.8572019338607788, 0.7801622152328491]
+c1ccc2nc(Nc3ncnc4ccccc34)ncc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncc2ccccc2n1', 'Brc1ncc2ccccc2n1']; ['Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999912977218628, 0.9999775886535645, 0.9998683929443359, 0.997165322303772]
+CS(=O)(=O)c1cccc(Nc2ncnc3ccccc23)c1; ['CS(=O)(=O)c1cccc(N)c1', 'Brc1ncnc2ccccc12', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(N)c1']; ['Clc1ncnc2ccccc12', 'CS(=O)(=O)c1cccc(N)c1', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9998310804367065, 0.9995797276496887, 0.9926104545593262, 0.9887877702713013]
+c1ccc2c(Nc3cnc4cccnn34)ncnc2c1; ['Clc1ncnc2ccccc12']; ['Nc1cnc2cccnn12']; [0.9999935030937195]
+Cc1ccc2ncn(Nc3ncnc4ccccc34)c2c1; [None]; [None]; [0]
+COc1cc(Nc2ncnc3ccccc23)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'Brc1ncnc2ccccc12', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Clc1ncnc2ccccc12', 'COc1cc(N)cc(OC)c1OC', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999374151229858, 0.9999353885650635, 0.9957442283630371, 0.9957200288772583, 0.9912292957305908]
+COc1ncccc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'COc1ncccc1N', 'COc1ncccc1Br', 'COc1ncccc1Cl', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'COc1ncccc1N']; ['COc1ncccc1N', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999810457229614, 0.9999637603759766, 0.9998385906219482, 0.9987587928771973, 0.9985361099243164, 0.9982775449752808, 0.9956731200218201]
+Oc1cccc(Nc2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12', 'Nc1cccc(O)c1', 'Nc1ncnc2ccccc12']; ['Nc1cccc(O)c1', 'O=c1[nH]cnc2ccccc12', 'Oc1cccc(Br)c1']; [0.9995831251144409, 0.9945292472839355, 0.9776215553283691]
+COc1ccc(Nc2ncnc3ccccc23)cc1; ['COc1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'COc1ccc(N)cc1', 'COc1ccc(Br)cc1']; ['Clc1ncnc2ccccc12', 'COc1ccc(N)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999933123588562, 0.9998421669006348, 0.9986100196838379, 0.9875825643539429]
+c1ccc2[nH]c(Nc3ncnc4ccccc34)nc2c1; ['Clc1ncnc2ccccc12', 'Nc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'O=c1[nH]cnc2ccccc12']; [0.9982953071594238, 0.977814793586731]
+Cc1nc2ccc(CCc3ccc(F)cc3F)c(C)c2c(=O)[nH]1; [None]; [None]; [0]
+c1ccc2c(Nc3ccc(N4CCOCC4)cc3)ncnc2c1; ['Clc1ncnc2ccccc12', 'Nc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['Nc1ccc(N2CCOCC2)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999500513076782, 0.9996142983436584, 0.9959743022918701]
+O=C(Nc1cccc(Nc2ncnc3ccccc23)c1)C1CC1; ['Clc1ncnc2ccccc12', 'Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1']; ['Nc1cccc(NC(=O)C2CC2)c1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999997079372406, 0.9999281167984009, 0.9990246295928955]
+N#Cc1ccc(O)c(Nc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(F)c1', 'N#Cc1ccc(O)c(I)c1']; ['N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9988092184066772, 0.9967174530029297, 0.9933961629867554, 0.9576988816261292, 0.9566942453384399, 0.9552809596061707, 0.8932359218597412, 0.8897799849510193]
+Cc1cc(NNc2ncnc3ccccc23)sn1; [None]; [None]; [0]
+c1cnc(NNc2ncnc3ccccc23)nc1; ['Clc1ncnc2ccccc12']; ['NNc1ncccn1']; [0.9999715685844421]
+O=C([O-])c1ccc(Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; ['Nc1ccc(C(=O)[O-])cc1', 'Nc1ccc(C(=O)[O-])cc1']; [0.993318498134613, 0.9536214470863342]
+NC(=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12', 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1']; ['NC(=O)c1ccc(N)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9995771646499634, 0.9940825700759888, 0.9344470500946045]
+c1ccc2c(Nc3ncnc4ccccc34)nccc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Brc1nccc2ccccc12']; ['Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9974648356437683, 0.99617600440979, 0.9928191900253296, 0.9885367155075073, 0.9297879934310913]
+c1cc(Nc2ncnc3ccccc23)cc(C2CCNCC2)c1; ['Clc1ncnc2ccccc12']; ['Nc1cccc(C2CCNCC2)c1']; [0.999960720539093]
+Cc1nc(C(C)(C)O)sc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+OCCOc1ccc(Nc2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1ccc(OCCO)cc1']; ['Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'O=c1[nH]cnc2ccccc12']; [0.9998054504394531, 0.9997868537902832, 0.9874942302703857]
+N#Cc1cccc(Cn2cc(Nc3ncnc4ccccc34)cn2)c1; [None]; [None]; [0]
+c1ccc2c(NNc3ccncn3)ncnc2c1; ['Clc1ncnc2ccccc12', 'Clc1ccncn1']; ['NNc1ccncn1', 'NNc1ncnc2ccccc12']; [0.998616099357605, 0.9949873685836792]
+CC(=O)NCc1ccc(Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['CC(=O)NCc1ccc(N)cc1', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999701976776123, 0.9990463256835938, 0.9828959107398987, 0.7914868593215942]
+O=C(c1ccc(Nc2ncnc3ccccc23)nc1)N1CCOCC1; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Brc1ncnc2ccccc12']; ['Nc1ccc(C(=O)N2CCOCC2)cn1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cn1']; [0.9999996423721313, 0.9999995231628418, 0.9999982118606567]
+O=C(Nc1ccccc1)c1ccc(Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ncnc2ccccc12']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9999615550041199, 0.99994957447052, 0.9994429349899292, 0.9987810850143433, 0.9970167875289917]
+CNS(=O)(=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'CNS(=O)(=O)c1ccc(N)cc1', 'Nc1ncnc2ccccc12']; [0.9997513294219971, 0.9975543022155762, 0.997477650642395, 0.9363213181495667]
+O=S1(=O)Cc2ccc(Nc3ncnc4ccccc34)cc2C1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ncnc2ccccc12', 'Nc1ccc2c(c1)CS(=O)(=O)C2']; ['Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'O=c1[nH]cnc2ccccc12', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Nc1ncnc2ccccc12']; [0.9999959468841553, 0.9999939203262329, 0.9998743534088135, 0.9987781047821045, 0.998668909072876]
+O=C(c1ccc(Nc2ncnc3ccccc23)cc1)N1CCOCC1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ncnc2ccccc12', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=c1[nH]cnc2ccccc12', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'Oc1ncnc2ccccc12', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'O=C(c1ccc(F)cc1)N1CCOCC1']; [0.9999904632568359, 0.9999873638153076, 0.9999589920043945, 0.9999547004699707, 0.9996412992477417, 0.999540388584137, 0.992318868637085, 0.991234302520752]
+CC(=O)N1CCN(C(=O)Cc2ccc(Nc3ncnc4ccccc34)cc2)CC1; [None]; [None]; [0]
+FC(F)(F)c1ccc(Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1']; ['Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999414682388306, 0.9998384714126587, 0.9982298016548157, 0.9957189559936523]
+CN(C)c1ccc(Nc2ncnc3ccccc23)cc1; ['CN(C)c1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1']; ['Clc1ncnc2ccccc12', 'CN(C)c1ccc(N)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999920129776001, 0.9999200105667114, 0.9986221790313721, 0.991690993309021, 0.9736113548278809]
+C[C@H](O)COc1ccc(Nc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+CC(C)c1cc(Nc2ncnc3ccccc23)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Nc1ncnc2ccccc12']; [0.9405522346496582]
+CS(=O)(=O)N1CCC(Nc2ncnc3ccccc23)CC1; ['CS(=O)(=O)N1CCC(N)CC1', 'Brc1ncnc2ccccc12', 'CS(=O)(=O)N1CCC(=O)CC1']; ['Clc1ncnc2ccccc12', 'CS(=O)(=O)N1CCC(N)CC1', 'Nc1ncnc2ccccc12']; [0.9999926686286926, 0.9999822974205017, 0.9972528219223022]
+CN(C)S(=O)(=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['CN(C)S(=O)(=O)c1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(F)cc1']; ['Clc1ncnc2ccccc12', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999363422393799, 0.999811589717865, 0.9996222257614136, 0.9963179230690002, 0.9927395582199097, 0.9809039235115051]
+C[C@@H](O)COc1ccc(Nc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+Cc1nc(C)c(Nc2ncnc3ccccc23)s1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(F)cc1']; ['CCNS(=O)(=O)c1ccc(N)cc1', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9980424642562866, 0.9967361688613892, 0.9756990075111389, 0.8813045024871826, 0.8505281209945679]
+CCCOc1ccc(Nc2ncnc3ccccc23)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1ncnc2ccccc12']; [0.9996707439422607]
+Brc1ccc(Nc2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1ccc(Br)cc1', 'Brc1ccc(Br)cc1']; ['Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998253583908081, 0.9996298551559448, 0.997450590133667, 0.9715163707733154]
+CN(C)c1ccc(Nc2ncnc3ccccc23)cc1Cl; ['CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9996265172958374, 0.9992902278900146, 0.9956778883934021]
+c1ccc2c(Nc3ccn4nccc4n3)ncnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1ccn2nccc2n1', 'Clc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Nc1ncnc2ccccc12']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'O=c1ccn2nccc2[nH]1']; [0.999998927116394, 0.9999988079071045, 0.9999947547912598, 0.9999773502349854, 0.9999668002128601, 0.9904067516326904]
+CNS(=O)(=O)c1ccc(Nc2ncnc3ccccc23)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1ncnc2ccccc12']; [0.98175048828125]
+COc1ccc(Cl)cc1Nc1ncnc2ccccc12; ['COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9996284246444702, 0.9993506669998169]
+O=C(c1ccccc1)N1CC[C@H](Nc2ncnc3ccccc23)C1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(F)cc1']; ['CCN(CC)C(=O)c1ccc(N)cc1', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998815059661865, 0.9998607635498047, 0.9986826777458191, 0.9949093461036682, 0.9918498992919922, 0.9855546951293945, 0.9540919065475464]
+c1ccc2c(Nc3c[nH]c4ccccc34)ncnc2c1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9994268417358398, 0.9993842840194702, 0.9985959529876709, 0.9589307308197021]
+c1ccc(-n2cccn2)c(Nc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1ccccc1-n1cccn1', 'Clc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1']; ['Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999781847000122, 0.9999274015426636, 0.9998937845230103, 0.9997228384017944, 0.9982881546020508, 0.998196005821228]
+c1ccc2c(Nc3ccc4c(c3)CCO4)ncnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2']; ['Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999842047691345, 0.9999568462371826, 0.9996242523193359, 0.9989814758300781, 0.9988812208175659]
+CC(=O)N1CCCN(c2cccc(Nc3ncnc4ccccc34)c2)CC1; [None]; [None]; [0]
+COc1cc(OC)c(Nc2ncnc3ccccc23)cc1Cl; ['Brc1ncnc2ccccc12', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Br)cc1Cl']; ['COc1cc(OC)c(Cl)cc1N', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999047517776489, 0.9995443820953369, 0.998530387878418, 0.977196455001831]
+CC(=O)Nc1cccc(Nc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Br)c1']; ['CC(=O)Nc1cccc(N)c1', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999912977218628, 0.9999673962593079, 0.9994157552719116, 0.9950158596038818, 0.9899888038635254]
+c1ccc(-c2cc(Nc3ncnc4ccccc34)n[nH]2)cc1; ['Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1cc(-c2ccccc2)[nH]n1']; ['Nc1cc(-c2ccccc2)n[nH]1', 'Nc1cc(-c2ccccc2)[nH]n1', 'Nc1cc(-c2ccccc2)[nH]n1', 'O=c1[nH]cnc2ccccc12']; [0.999916672706604, 0.9999157190322876, 0.9997041821479797, 0.9946837425231934]
+Cc1c(Nc2ncnc3ccccc23)cccc1C(=O)[O-]; [None]; [None]; [0]
+CC(C)c1ccc2nc(Nc3ncnc4ccccc34)[nH]c2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['CC(C)(C)c1ccc(N)cc1', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999779462814331, 0.9999758005142212, 0.9986451864242554, 0.9931169748306274, 0.9870613813400269]
+CN(C)C(=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Clc1ncnc2ccccc12', 'CN(C)C(=O)c1ccc(N)cc1', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999905824661255, 0.9999792575836182, 0.9988674521446228, 0.9985647797584534, 0.9981335401535034]
+c1cc(Nc2ncnc3ccccc23)c2c(c1)OCO2; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'Brc1cccc2c1OCO2']; ['Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998618364334106, 0.9967694878578186, 0.985052227973938, 0.9805549383163452, 0.9774167537689209]
+COc1cc(Nc2ncnc3ccccc23)ccc1O; ['Brc1ncnc2ccccc12', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(N)ccc1O']; ['COc1cc(N)ccc1O', 'Clc1ncnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9998985528945923, 0.9995823502540588, 0.9915813207626343, 0.9886491298675537, 0.9827075004577637]
+Nc1nc(Nc2ncnc3ccccc23)cs1; ['Clc1ncnc2ccccc12', 'Nc1nc(Cl)cs1']; ['Nc1csc(N)n1', 'Nc1ncnc2ccccc12']; [0.9996235370635986, 0.9972227215766907]
+COc1cccc(C(=O)NNc2ncnc3ccccc23)c1; ['COc1cccc(C(=O)NN)c1', 'COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1']; ['Clc1ncnc2ccccc12', 'NNc1ncnc2ccccc12', 'NNc1ncnc2ccccc12']; [0.9999676942825317, 0.9998764991760254, 0.999092698097229]
+COc1cc(C(=O)N2CCOCC2)ccc1Nc1ncnc2ccccc12; ['COc1cc(C(=O)N2CCOCC2)ccc1N', 'Brc1ncnc2ccccc12', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N']; ['Clc1ncnc2ccccc12', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12']; [0.9999785423278809, 0.9999715685844421, 0.9998856782913208, 0.9998281002044678]
+CC(C)(C)c1ccc(Nc2ncnc3ccccc23)cn1; ['Brc1ncnc2ccccc12', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(N)cn1']; ['CC(C)(C)c1ccc(N)cn1', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9998372197151184, 0.9995863437652588, 0.9801191091537476, 0.9730249643325806]
+Clc1cccc(-n2ccc(Nc3ncnc4ccccc34)n2)c1; [None]; [None]; [0]
+Fc1ccc(Nc2ncnc3ccccc23)c(Cl)c1; ['Clc1ncnc2ccccc12', 'Nc1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1']; ['Nc1ccc(F)cc1Cl', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999724626541138, 0.9998354911804199, 0.9997463226318359]
+CC(=O)N[C@@H]1CC[C@@H](Nc2ncnc3ccccc23)CC1; [None]; [None]; [0]
+Cc1cc(Nc2ncnc3ccccc23)nc(N)n1; ['Cc1cc(N)nc(N)n1', 'Cc1cc(Cl)nc(N)n1']; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9972350597381592, 0.9964288473129272]
+CSc1ccc(Nc2ncnc3ccccc23)cc1; ['CSc1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'CSc1ccc(N)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1']; ['Clc1ncnc2ccccc12', 'CSc1ccc(N)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998770952224731, 0.9992810487747192, 0.9905909299850464, 0.9500513076782227, 0.9196540117263794]
+c1ccc2sc(Nc3ncnc4ccccc34)cc2c1; ['Clc1ncnc2ccccc12', 'Nc1cc2ccccc2s1']; ['Nc1cc2ccccc2s1', 'O=c1[nH]cnc2ccccc12']; [0.9985301494598389, 0.9772917032241821]
+CCN1CCN(Cc2ccc(Nc3ncnc4ccccc34)cc2)CC1; ['Brc1ncnc2ccccc12', 'CCN1CCN(Cc2ccc(N)cc2)CC1']; ['CCN1CCN(Cc2ccc(N)cc2)CC1', 'Clc1ncnc2ccccc12']; [0.9980703592300415, 0.997305691242218]
+CCc1ccc(Nc2ncnc3ccccc23)cc1; ['CCc1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'CCc1ccc(N)cc1', 'CCc1ccc(Br)cc1']; ['Clc1ncnc2ccccc12', 'CCc1ccc(N)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998364448547363, 0.9995512962341309, 0.9949084520339966, 0.9751942753791809]
+COc1ccc(Nc2ncnc3ccccc23)cc1OC; ['Brc1ncnc2ccccc12', 'COc1ccc(N)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(I)cc1OC']; ['COc1ccc(N)cc1OC', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999947547912598, 0.9999784231185913, 0.9996370077133179, 0.9994751214981079, 0.9933114647865295]
+Brc1cnc(Nc2ncnc3ccccc23)nc1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1']; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999136924743652, 0.9998584985733032, 0.999833345413208, 0.9995859265327454, 0.9981347322463989]
+COc1ccc(CNNc2ncnc3ccccc23)cc1; ['COc1ccc(CNN)cc1']; ['Clc1ncnc2ccccc12']; [0.9662915468215942]
+Clc1ccc(Nc2ncnc3ccccc23)c(Cl)c1; ['Clc1ncnc2ccccc12', 'Nc1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1']; ['Nc1ccc(Cl)cc1Cl', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999428987503052, 0.9997639060020447, 0.999502420425415]
+O=C1CCc2cc(Nc3ncnc4ccccc34)ccc2N1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ncnc2ccccc12', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'Oc1ncnc2ccccc12', 'O=C1CCc2cc(Br)ccc2N1', 'O=c1[nH]cnc2ccccc12', 'O=C1CCc2cc(Cl)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(F)ccc2N1']; [0.9999783635139465, 0.9999707937240601, 0.9996477365493774, 0.9979606866836548, 0.9971015453338623, 0.995568037033081, 0.9953910708427429, 0.9830033779144287]
+c1ccc2c(Nc3scc4c3OCCO4)ncnc2c1; [None]; [None]; [0]
+CC1(CONc2ncnc3ccccc23)COC1; [None]; [None]; [0]
+COc1cc(Nc2ncnc3ccccc23)ccc1N1CCOCC1; ['Brc1ncnc2ccccc12', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1']; ['COc1cc(N)ccc1N1CCOCC1', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [1.0, 0.9999983310699463, 0.9999923706054688, 0.9999816417694092]
+Cn1cc(Nc2ncnc3ccccc23)c(C(F)(F)F)n1; ['Clc1ncnc2ccccc12']; ['Cn1cc(N)c(C(F)(F)F)n1']; [0.9981859922409058]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+c1ccc2c(Nc3ncc4cccn4n3)ncnc2c1; ['Clc1ncc2cccn2n1']; ['Nc1ncnc2ccccc12']; [0.9999828338623047]
+COc1ccc2cccc(Nc3ncnc4ccccc34)c2c1; ['Brc1ncnc2ccccc12', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(Br)c2c1']; ['COc1ccc2cccc(N)c2c1', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9997951984405518, 0.9993726015090942, 0.9970393776893616, 0.9920883178710938]
+COc1cc(Nc2ncnc3ccccc23)ccc1Cl; ['Brc1ncnc2ccccc12', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['COc1cc(N)ccc1Cl', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999966621398926, 0.9999194145202637, 0.9998117685317993, 0.9995883703231812]
+c1ccc2c(Nc3cc4ccccn4n3)ncnc2c1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Brc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Clc1cc2ccccn2n1']; ['Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998151063919067, 0.9996954798698425, 0.9989321231842041, 0.9979674816131592, 0.9962494373321533]
+COc1cc(F)c(Nc2ncnc3ccccc23)cc1OC; ['Brc1ncnc2ccccc12', 'COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['COc1cc(N)c(F)cc1OC', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999377727508545, 0.9998315572738647, 0.9994714260101318, 0.9832898378372192]
+Oc1ccc2cccc(Nc3ncnc4ccccc34)c2c1; ['Brc1ncnc2ccccc12', 'Nc1cccc2ccc(O)cc12', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1cccc2ccc(O)cc12', 'O=c1[nH]cnc2ccccc12', 'Nc1cccc2ccc(O)cc12', 'Oc1ccc2cccc(Br)c2c1', 'Oc1ccc2cccc(Cl)c2c1']; [0.9989765882492065, 0.9925657510757446, 0.9916208982467651, 0.9855575561523438, 0.9563872814178467]
+Clc1cnc(Nc2ncnc3ccccc23)nc1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1cnc(Cl)nc1', 'Clc1cnc(Br)nc1', 'CSc1ncc(Cl)cn1']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998654723167419, 0.9994490146636963, 0.9991068840026855, 0.9986640214920044, 0.923421323299408]
+Cc1csc2c(Nc3ncnc4ccccc34)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1ncnc2ccccc12']; [0.9988189935684204]
+CC1(C)Cc2cc(Nc3ncnc4ccccc34)ccc2O1; [None]; [None]; [0]
+Cc1nc(NNc2ncnc3ccccc23)sc1C; ['Cc1nc(NN)sc1C']; ['Clc1ncnc2ccccc12']; [0.997980535030365]
+O=C(C1CC1)N1CC(NNc2ncnc3ccccc23)C1; [None]; [None]; [0]
+Cc1cc(NNc2ncnc3ccccc23)nn1C; ['Cc1cc(Cl)nn1C']; ['NNc1ncnc2ccccc12']; [0.9911031723022461]
+OCCn1cc(Nc2ncnc3ccccc23)cn1; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1cnn(CCO)c1', 'OCCn1cc(Br)cn1']; [0.9999585151672363, 0.8981866836547852]
+O=C(NNc1ncnc2ccccc12)c1ccco1; ['Clc1ncnc2ccccc12', 'NNc1ncnc2ccccc12', 'NNc1ncnc2ccccc12']; ['NNC(=O)c1ccco1', 'O=C(Cl)c1ccco1', 'O=C(O)c1ccco1']; [0.9965686798095703, 0.9922438859939575, 0.9200353622436523]
+CCNC(=O)c1ccc(Nc2ncnc3ccccc23)nc1; ['CCNC(=O)c1ccc(Cl)nc1', 'CCNC(=O)c1ccc(Br)nc1']; ['Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9987850189208984, 0.9904793500900269]
+COc1cc(CS(C)(=O)=O)ccc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+COc1cc(Nc2ncnc3ccccc23)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br']; ['Nc1ncnc2ccccc12']; [0.9571856260299683]
+NC(=O)c1ccc(CNc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'NCc1ccc(C(N)=O)cc1']; ['NCc1ccc(C(N)=O)cc1', 'NCc1ccc(C(N)=O)cc1', 'O=c1[nH]cnc2ccccc12']; [0.999997615814209, 0.9999964833259583, 0.9996010065078735]
+CO[C@@H]1CC[C@@H](Nc2ncnc3ccccc23)CC1; ['CO[C@H]1CC[C@H](N)CC1', 'Brc1ncnc2ccccc12', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1']; ['Clc1ncnc2ccccc12', 'CO[C@H]1CC[C@H](N)CC1', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12']; [0.9999973177909851, 0.9999918341636658, 0.9998390674591064, 0.9997351169586182]
+CCNC(=O)N1CCC(Nc2ncnc3ccccc23)CC1; [None]; [None]; [0]
+COc1cc(Nc2ncnc3ccccc23)cc(OC)c1; ['Brc1ncnc2ccccc12', 'COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1']; ['COc1cc(N)cc(OC)c1', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9997295141220093, 0.9996857047080994, 0.9982450604438782, 0.9779731035232544, 0.959058940410614]
+CNC(=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['CNC(=O)c1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(F)cc1', 'CNC(=O)c1ccc(Cl)cc1']; ['Clc1ncnc2ccccc12', 'CNC(=O)c1ccc(N)cc1', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998887181282043, 0.999860405921936, 0.9990795254707336, 0.9989504814147949, 0.9973746538162231, 0.9963552951812744, 0.976416826248169, 0.920315682888031, 0.8555324077606201]
+c1ccc2c(Nc3ccc4cn[nH]c4c3)ncnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1']; ['Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999987483024597, 0.9999971389770508, 0.9997409582138062, 0.9916901588439941]
+CC(C)(C)c1ccc(C(=O)NNc2ncnc3ccccc23)cc1; ['CC(C)(C)c1ccc(C(=O)NN)cc1', 'CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1']; ['Clc1ncnc2ccccc12', 'NNc1ncnc2ccccc12', 'NNc1ncnc2ccccc12']; [0.9999631643295288, 0.9998505115509033, 0.9983206987380981]
+O=C(Nc1cn[nH]c1)c1cccc(Nc2ncnc3ccccc23)c1; [None]; [None]; [0]
+CCn1cc(Nc2ncnc3ccccc23)cn1; ['CCn1cc(N)cn1', 'Brc1ncnc2ccccc12', 'CCn1cc(N)cn1', 'CCn1cc(Br)cn1']; ['Clc1ncnc2ccccc12', 'CCn1cc(N)cn1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9997682571411133, 0.9995976686477661, 0.999298095703125, 0.8015844821929932]
+COc1ccc2oc(Nc3ncnc4ccccc34)cc2c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(Nc1ncnc3ccccc13)cn2C; [None]; [None]; [0]
+c1cncc(-c2ccnc(Nc3ncnc4ccccc34)c2)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12']; ['Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1']; [0.9999103546142578, 0.9998966455459595]
+c1ccc2oc(Nc3ncnc4ccccc34)cc2c1; [None]; [None]; [0]
+c1ccc2c(Nc3ncc4sccc4n3)ncnc2c1; ['Clc1ncc2sccc2n1']; ['Nc1ncnc2ccccc12']; [0.9999973773956299]
+O=S(=O)(CCO)c1ccc(CNc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1Nc1ncnc2ccccc12; ['CC(C)c1nn(C)cc1Br']; ['Nc1ncnc2ccccc12']; [0.9965423345565796]
+Nc1cc(Nc2ncnc3ccccc23)c2cc[nH]c2n1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(Nc2ncnc3ccccc23)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['Clc1ncnc2ccccc12', 'Oc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9997342824935913, 0.9983269572257996, 0.993941068649292, 0.984110951423645]
+FC(F)(F)Oc1ccc(Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999969482421875, 0.999884843826294, 0.9987771511077881, 0.99424809217453, 0.9902337789535522]
+Cn1cc(Nc2ncnc3ccccc23)c2ccccc21; [None]; [None]; [0]
+CCc1cccc(Nc2ncnc3ccccc23)n1; ['CCc1cccc(N)n1', 'Brc1ncnc2ccccc12', 'CCc1cccc(Br)n1', 'CCc1cccc(N)n1']; ['Clc1ncnc2ccccc12', 'CCc1cccc(N)n1', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999836683273315, 0.9999790191650391, 0.9993732571601868, 0.9988001585006714]
+C[NH+](C)Cc1ccc(Nc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)NNc2ncnc3ccccc23)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['NNc1ncnc2ccccc12']; [0.9995749592781067]
+Cn1cc(Br)cc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+Cn1ncc2cc(Nc3ncnc4ccccc34)ccc21; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Cn1ncc2cc(N)ccc21']; ['Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'O=c1[nH]cnc2ccccc12']; [0.9999979734420776, 0.999988317489624, 0.9998984932899475]
+COc1ccc2nc(Nc3ncnc4ccccc34)[nH]c2c1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(Nc3ncnc4ccccc34)ccc21; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2ncnc3ccccc23)c1)N1CCCC1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2ncnc3ccccc23)cn1; ['CN(C)c1ccc(N)cn1', 'Brc1ncnc2ccccc12', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(Cl)cn1', 'CN(C)c1ccc(I)cn1']; ['Clc1ncnc2ccccc12', 'CN(C)c1ccc(N)cn1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999721050262451, 0.9999703168869019, 0.999558687210083, 0.9989289045333862, 0.9956026077270508, 0.993003249168396]
+Cc1n[nH]c2cc(Nc3ncnc4ccccc34)ccc12; ['Brc1ncnc2ccccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['Cc1n[nH]c2cc(N)ccc12', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999986290931702, 0.9999891519546509, 0.999584436416626, 0.9969080686569214]
+O=C(NNc1ncnc2ccccc12)c1cccc(OC(F)(F)F)c1; ['Clc1ncnc2ccccc12', 'NNc1ncnc2ccccc12', 'NNc1ncnc2ccccc12']; ['NNC(=O)c1cccc(OC(F)(F)F)c1', 'O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1']; [0.9999992847442627, 0.9999970197677612, 0.999941349029541]
+OCCc1ccc(Nc2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1ccc(CCO)cc1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'O=c1[nH]cnc2ccccc12', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1']; [0.9997463226318359, 0.9995397329330444, 0.9880520105361938, 0.9743329286575317, 0.9422605037689209]
+O=C1CCCN1c1cccc(Nc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Cl)c1']; [0.999998152256012, 0.9999946355819702, 0.9984844923019409, 0.9980888366699219]
+Cc1cc(Nc2ncnc3ccccc23)cc(C)c1OCCO; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2ncnc3ccccc23)c(Cl)c1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(Nc3ncnc4ccccc34)[nH]c2c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1Nc1ncnc2ccccc12; ['Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.999995231628418, 0.9999810457229614]
+COc1cc(S(C)(=O)=O)ccc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1N']; ['COc1cc(S(C)(=O)=O)ccc1N', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.999983549118042, 0.9999656677246094, 0.9989638328552246, 0.9957695007324219]
+COc1cc(-c2cnn(C)c2)ccc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+c1ccc2c(Nc3ncn4c3CCCC4)ncnc2c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['Clc1ncnc2ccccc12']; [0.9996587038040161]
+Cc1ncc(-c2ccc(Nc3ncnc4ccccc34)cc2)n1C; [None]; [None]; [0]
+Fc1ccc(NNc2ncnc3ccccc23)nc1; ['Clc1ncnc2ccccc12']; ['NNc1ccc(F)cn1']; [0.9993243217468262]
+CCNC(=O)Cc1ccc(Nc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(Nc3ncnc4ccccc34)cn2)CC1; [None]; [None]; [0]
+c1ccc(NNc2ncnc3ccccc23)nc1; ['Clc1ncnc2ccccc12']; ['NNc1ccccn1']; [0.9998072385787964]
+CNC(=O)c1ccc(Nc2ncnc3ccccc23)c(OC)c1; ['Brc1ncnc2ccccc12', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['CNC(=O)c1ccc(N)c(OC)c1', 'Clc1ncnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9941734075546265, 0.9937294721603394, 0.9660824537277222, 0.8241573572158813]
+Cc1cc(NNc2ncnc3ccccc23)ncc1F; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(Nc2ncnc3ccccc23)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ncnc2ccccc12']; [0.9984528422355652]
+CNC(=O)c1ccc(C)c(Nc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1']; ['CNC(=O)c1ccc(C)c(N)c1', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9997963905334473, 0.9995923042297363, 0.9946305751800537]
+CN(C)C(=O)c1ccc(Nc2ncnc3ccccc23)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999914765357971, 0.999407172203064]
+Cc1ccc(C(=O)NCCO)cc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+COC(C)(C)CCNc1ncnc2ccccc12; ['COC(C)(C)CCN', 'Brc1ncnc2ccccc12', 'COC(C)(C)CCN']; ['Clc1ncnc2ccccc12', 'COC(C)(C)CCN', 'O=c1[nH]cnc2ccccc12']; [0.9998661279678345, 0.9997115135192871, 0.9961901307106018]
+CCOc1ccccc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'CCOc1ccccc1N', 'CCOc1ccccc1N', 'CCOc1ccccc1Br']; ['CCOc1ccccc1N', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999494194984436, 0.9991825819015503, 0.9902851581573486, 0.9802689552307129]
+CNC(=O)c1ccccc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1F']; ['CNC(=O)c1ccccc1N', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999596118927002, 0.995909571647644, 0.9957695603370667, 0.9913897514343262, 0.9904734492301941, 0.9884403944015503, 0.8687835931777954]
+Fc1cc(F)cc(CNc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1']; ['NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'Oc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [1.0, 0.9999990463256836, 0.9999970197677612, 0.998309850692749]
+FC(F)(F)c1cccc(Nc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; ['Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999866485595703, 0.9996466040611267, 0.9992645978927612, 0.9147892594337463]
+Cn1nc(Nc2ncnc3ccccc23)cc1C(C)(C)O; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'FC(F)(F)Oc1ccccc1Br', 'Nc1ccccc1OC(F)(F)F', 'Nc1ncnc2ccccc12', 'FC(F)(F)Oc1ccccc1I']; ['Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ncnc2ccccc12']; [0.9999076128005981, 0.9980530738830566, 0.997148334980011, 0.9874958992004395, 0.986594021320343, 0.9838896989822388]
+c1ccc2c(Nc3ncnc4ccccc34)ccnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccnc2ccccc12', 'Brc1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Ic1ccnc2ccccc12']; ['Nc1ccnc2ccccc12', 'Nc1ccnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999901294708252, 0.999808669090271, 0.9993313550949097, 0.9961830973625183, 0.9889623522758484, 0.9669538140296936]
+O=C([O-])c1ccccc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1Nc1ncnc2ccccc12; ['CC(C)S(=O)(=O)c1ccccc1N', 'Brc1ncnc2ccccc12', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['Clc1ncnc2ccccc12', 'CC(C)S(=O)(=O)c1ccccc1N', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999279797077179, 0.9990630149841309, 0.997063398361206, 0.9948394298553467]
+Cn1cnc2ccc(Nc3ncnc4ccccc34)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1ncnc2ccccc12']; [0.9989112615585327]
+CP(C)(=O)c1ccccc1Nc1ncnc2ccccc12; ['CP(C)(=O)c1ccccc1N']; ['Clc1ncnc2ccccc12']; [0.9999139308929443]
+NC(=O)c1ccccc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'NC(=O)c1ccccc1N', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1F', 'NC(=O)c1ccccc1Cl']; ['NC(=O)c1ccccc1N', 'NC(=O)c1ccccc1N', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9985731244087219, 0.9958896636962891, 0.9900339245796204, 0.9499995708465576, 0.9050368070602417, 0.7760764360427856]
+CC(C)(C)c1nc(Nc2ncnc3ccccc23)cs1; [None]; [None]; [0]
+Clc1ccc(Cl)c(Nc2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12', 'Nc1cc(Cl)ccc1Cl']; ['Nc1cc(Cl)ccc1Cl', 'O=c1[nH]cnc2ccccc12']; [0.999908983707428, 0.9998517036437988]
+c1ccc(Cn2cc(Nc3ncnc4ccccc34)cn2)cc1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1cnn(Cc2ccccc2)c1']; ['Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1ncnc2ccccc12']; [0.999835193157196, 0.999748945236206, 0.9683884382247925]
+O=C(Nc1cccc(Nc2ncnc3ccccc23)c1)c1ccccc1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1']; ['Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12']; [0.9999760985374451, 0.9999760389328003, 0.9995521903038025, 0.9988089799880981]
+Cc1ccc(Nc2ncnc3ccccc23)c(Br)c1; ['Brc1ncnc2ccccc12', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(Br)c1']; ['Cc1ccc(N)c(Br)c1', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999828934669495, 0.9999798536300659, 0.9999702572822571]
+CC(C)C(=O)CONc1ncnc2ccccc12; [None]; [None]; [0]
+COc1cnc(Nc2ncnc3ccccc23)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'Brc1ncnc2ccccc12', 'COc1cnc(Br)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['Nc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'COc1cnc(N)nc1', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12']; [0.999854564666748, 0.9998534917831421, 0.9995704889297485, 0.9990995526313782, 0.9967743158340454, 0.9966322183609009]
+Cc1nc2ccccn2c1Nc1ncnc2ccccc12; ['Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1N']; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999784231185913, 0.9999269247055054, 0.9987722039222717]
+c1ccc2c(Nc3cnc4ccccn34)ncnc2c1; ['Brc1ncnc2ccccc12', 'Brc1cnc2ccccn12', 'Clc1ncnc2ccccc12', 'Clc1cnc2ccccn12', 'Nc1cnc2ccccn12']; ['Nc1cnc2ccccn12', 'Nc1ncnc2ccccc12', 'Nc1cnc2ccccn12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9991987943649292, 0.9991871118545532, 0.998755693435669, 0.9909476041793823, 0.9693381190299988]
+Clc1cccc(Cl)c1Nc1ncnc2ccccc12; ['Clc1ncnc2ccccc12', 'Nc1c(Cl)cccc1Cl']; ['Nc1c(Cl)cccc1Cl', 'O=c1[nH]cnc2ccccc12']; [0.9998719692230225, 0.9995981454849243]
+c1ccc(-c2ncc(Nc3ncnc4ccccc34)[nH]2)cc1; [None]; [None]; [0]
+c1cc(Cn2cncn2)cc(Nc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cccc(Cn2cncn2)c1']; ['Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1', 'O=c1[nH]cnc2ccccc12']; [0.9999996423721313, 0.9999958276748657, 0.9998408555984497]
+Cc1ccc(Cl)c(Nc2ncnc3ccccc23)c1; ['Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(Br)c1']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9995298981666565, 0.9990929365158081, 0.992277979850769]
+Brc1cccc(Nc2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Brc1cccc(I)c1', 'Nc1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999958872795105, 0.9999450445175171, 0.9995061159133911, 0.999314546585083, 0.9991145133972168]
+Nc1nccc(Nc2ncnc3ccccc23)n1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1ccnc(N)n1', 'Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(=O)[nH]1']; ['Nc1ccnc(N)n1', 'Nc1ccnc(N)n1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9995219707489014, 0.9992941617965698, 0.9972256422042847, 0.9946718811988831, 0.9889378547668457, 0.8295882940292358]
+Cc1nnc(-c2ccccc2Nc2ncnc3ccccc23)[nH]1; [None]; [None]; [0]
+O=c1c2c(F)cccc2cnn1Nc1ncnc2ccccc12; [None]; [None]; [0]
+c1ccc2cc(Nc3ncnc4ccccc34)ccc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1']; ['Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999806880950928, 0.9999122619628906, 0.9981369972229004, 0.9973073601722717, 0.9904336929321289, 0.9858041405677795]
+c1ccc2c(Nn3cnc4ccccc43)ncnc2c1; ['Clc1ncnc2ccccc12']; ['Nn1cnc2ccccc21']; [0.999642014503479]
+c1ccc2c(Nc3cnn4ncccc34)ncnc2c1; [None]; [None]; [0]
+Cc1c(Nc2ncnc3ccccc23)sc(=O)n1C; [None]; [None]; [0]
+c1cncc(NNc2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12']; ['NNc1cccnc1']; [0.9959245324134827]
+c1cncc(CNNc2ncnc3ccccc23)c1; [None]; [None]; [0]
+O=C(NNc1ncnc2ccccc12)c1cccs1; ['NNc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'NNc1ncnc2ccccc12']; ['O=C(Cl)c1cccs1', 'NNC(=O)c1cccs1', 'O=C(O)c1cccs1']; [0.998371958732605, 0.9969338178634644, 0.9199610948562622]
+c1ccc2c(NNCCc3c[nH]cn3)ncnc2c1; [None]; [None]; [0]
+c1ccc(CCNNc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+c1ccc2c(Nc3ncnc4ccccc34)cncc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12']; ['Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999876022338867, 0.9999771118164062, 0.9976514577865601, 0.9964474439620972, 0.9914896488189697]
+CNc1nc(C)c(Nc2ncnc3ccccc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+Cn1cc(-c2ccc(Nc3ncnc4ccccc34)cc2)cn1; ['Cn1cc(-c2ccc(N)cc2)cn1', 'Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['O=c1[nH]cnc2ccccc12', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Nc1ncnc2ccccc12']; [1.0, 0.9999992251396179, 0.9999957084655762, 0.999954342842102]
+Clc1ccc(CNNc2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12']; ['NNCc1ccc(Cl)cc1']; [0.8974387645721436]
+FC(F)(F)c1n[nH]cc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1c[nH]nc1C(F)(F)F', 'FC(F)(F)c1n[nH]cc1Br']; ['Nc1c[nH]nc1C(F)(F)F', 'Nc1c[nH]nc1C(F)(F)F', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999822378158569, 0.9998452663421631, 0.9992669820785522, 0.9967271685600281]
+NC(=O)c1c(F)cccc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl']; ['NC(=O)c1c(N)cccc1F', 'NC(=O)c1c(N)cccc1F', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9994704723358154, 0.9990013837814331, 0.9799207448959351, 0.96198970079422]
+CCCn1cnc(Nc2ncnc3ccccc23)n1; ['CCCn1cnc(N)n1']; ['Clc1ncnc2ccccc12']; [0.9996733665466309]
+CN1c2ccc(Nc3ncnc4ccccc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Fc1ccccc1CNNc1ncnc2ccccc12; ['Clc1ncnc2ccccc12', None]; ['NNCc1ccccc1F', None]; [0.9960345029830933, 0]
+CC(C)n1cc(Nc2ncnc3ccccc23)nn1; ['Brc1ncnc2ccccc12', 'CC(C)n1cc(N)nn1', 'CC(C)n1cc(N)nn1']; ['CC(C)n1cc(N)nn1', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.999967634677887, 0.999906063079834, 0.9998743534088135]
+OCc1cccc(Nc2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1cccc(CO)c1']; ['Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'O=c1[nH]cnc2ccccc12']; [0.9998644590377808, 0.9998610019683838, 0.9984408617019653]
+Nc1[nH]nc2cc(Nc3ncnc4ccccc34)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['Nc1ncnc2ccccc12']; [0.997073769569397]
+c1ccc2c(Nc3ccc(-c4cn[nH]c4)cc3)ncnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999972581863403, 0.9999774098396301, 0.9995241165161133, 0.9991580247879028]
+CSc1nc(Nc2ncnc3ccccc23)c[nH]1; [None]; [None]; [0]
+c1ccc2c(NCCc3c[nH]nn3)ncnc2c1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'NCCc1c[nH]nn1']; ['NCCc1c[nH]nn1', 'NCCc1c[nH]nn1', 'O=c1[nH]cnc2ccccc12']; [0.9999967813491821, 0.9999823570251465, 0.9992226362228394]
+COc1cc(Nc2ncnc3ccccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3ncnc4ccccc34)cc2c1; ['Nc1cc2ccccc2[nH]1', 'Clc1ncnc2ccccc12']; ['O=c1[nH]cnc2ccccc12', 'Nc1cc2ccccc2[nH]1']; [0.9923823475837708, 0.953026533126831]
+c1ccc2c(Nc3csc4ncncc34)ncnc2c1; ['Brc1csc2ncncc12']; ['Nc1ncnc2ccccc12']; [0.9974914789199829]
+O=C([O-])Cc1cccc(Nc2ncnc3ccccc23)c1; [None]; [None]; [0]
+N#CCCc1cccc(Nc2ncnc3ccccc23)c1; ['N#CCCc1cccc(Br)c1']; ['Nc1ncnc2ccccc12']; [0.7603206634521484]
+Nc1ncncc1Nc1ncnc2ccccc12; ['Clc1ncnc2ccccc12']; ['Nc1cncnc1N']; [0.9981032609939575]
+Fc1ccc(Nc2ncnc3ccccc23)c(C(F)(F)F)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1']; ['Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999657869338989, 0.9999607801437378, 0.9995818138122559, 0.9980597496032715, 0.9961779713630676, 0.9907653331756592]
+CCC(=O)Nc1ccc(Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'CCC(=O)Nc1ccc(N)cc1', 'CCC(=O)Nc1ccc(N)cc1', 'CCC(=O)Nc1ccc(N)cc1', 'CCC(=O)Nc1ccc(N)cc1']; ['CCC(=O)Nc1ccc(N)cc1', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.998346209526062, 0.997134804725647, 0.9934837818145752, 0.9806762337684631, 0.9043365716934204]
+O=C(NNc1ncnc2ccccc12)c1c(Cl)cccc1Cl; ['NNc1ncnc2ccccc12', 'NNc1ncnc2ccccc12']; ['O=C(O)c1c(Cl)cccc1Cl', 'O=C(Cl)c1c(Cl)cccc1Cl']; [0.9889044761657715, 0.9885549545288086]
+NC(=O)CCCNc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'NCCCC(N)=O', 'NC(=O)CCCCl']; ['NCCCC(N)=O', 'NCCCC(N)=O', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.999977707862854, 0.9999601244926453, 0.9995872974395752, 0.8615190982818604]
+CCNc1nc2ccc(Nc3ncnc4ccccc34)cc2s1; [None]; [None]; [0]
+COc1ccc(Nc2ncnc3ccccc23)cc1Cl; ['Brc1ncnc2ccccc12', 'COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['COc1ccc(N)cc1Cl', 'O=c1[nH]cnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999653697013855, 0.9996439218521118, 0.9995843172073364, 0.9927628040313721]
+c1ccc2c(NNc3ccncc3)ncnc2c1; [None]; [None]; [0]
+CC(C)(CONc1ncnc2ccccc12)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCNc1ncnc2ccccc12; [None]; [None]; [0]
+c1ccc2c(Nc3cnn4ccccc34)ncnc2c1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1cnn2ccccc12', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12', 'Clc1cnn2ccccc12']; ['Nc1cnn2ccccc12', 'Nc1cnn2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999950528144836, 0.9999932050704956, 0.9999525547027588, 0.9974232316017151, 0.9955023527145386, 0.9871056079864502]
+CCCn1cc(Nc2ncnc3ccccc23)cn1; ['CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'Brc1ncnc2ccccc12', 'CCCn1cc(Br)cn1']; ['O=c1[nH]cnc2ccccc12', 'Clc1ncnc2ccccc12', 'CCCn1cc(N)cn1', 'Nc1ncnc2ccccc12']; [0.9999614953994751, 0.9998841285705566, 0.999830424785614, 0.989456295967102]
+COc1cc(CCNc2ncnc3ccccc23)cc(OC)c1; ['COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.999992847442627, 0.9980157613754272]
+CS(=O)(=O)C1CCN(Nc2ncnc3ccccc23)CC1; [None]; [None]; [0]
+O=c1cc(Nc2ncnc3ccccc23)cc[nH]1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cc[nH]c(=O)c1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1cc[nH]c(=O)c1', 'Nc1cc[nH]c(=O)c1', 'O=c1[nH]cnc2ccccc12', 'O=c1cc(F)cc[nH]1', 'O=c1cc(Cl)cc[nH]1']; [0.9999992847442627, 0.9999961853027344, 0.9986100196838379, 0.9948179721832275, 0.9943118095397949]
+O=C1CCc2cccc(Nc3ncnc4ccccc34)c21; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cccc2c1C(=O)CC2', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'Nc1ncnc2ccccc12']; ['Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'Oc1ncnc2ccccc12', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=C1CCc2cccc(F)c21']; [0.9999123811721802, 0.9995351433753967, 0.9991742372512817, 0.9942333698272705, 0.9939532279968262, 0.9922353029251099, 0.9905027151107788, 0.847542941570282]
+C[S@](=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['Brc1ncnc2ccccc12', 'CS(=O)c1ccc(N)cc1', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(O)cc1']; ['CS(=O)c1ccc(N)cc1', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998428821563721, 0.9998343586921692, 0.9868593215942383, 0.9627785682678223]
+c1ccc(ONc2ncnc3ccccc23)nc1; [None]; [None]; [0]
+CC(C)(N)c1ccc(Nc2ncnc3ccccc23)cc1; ['CC(C)(N)c1ccc(N)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9968279600143433, 0.8421049118041992]
+CCNS(=O)(=O)c1ccccc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'CCNS(=O)(=O)c1ccccc1N', 'CCNS(=O)(=O)c1ccccc1N', 'CCNS(=O)(=O)c1ccccc1Br']; ['CCNS(=O)(=O)c1ccccc1N', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9951063394546509, 0.9909319877624512, 0.8562293648719788, 0.852558434009552]
+C[C@@H](ONc1ncnc2ccccc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)c1oncc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+COc1cccc(F)c1Nc1ncnc2ccccc12; ['COc1cccc(F)c1N', 'COc1cccc(F)c1N']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999850988388062, 0.9990016222000122]
+CC(C)Oc1cncc(Nc2ncnc3ccccc23)c1; ['CC(C)Oc1cncc(Br)c1']; ['Nc1ncnc2ccccc12']; [0.9984044432640076]
+O=c1[nH]ccc2oc(Nc3ncnc4ccccc34)cc12; [None]; [None]; [0]
+c1ccc(-c2ccncc2NNc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+c1ccc2ncc(NNc3ncnc4ccccc34)cc2c1; ['Clc1ncnc2ccccc12']; ['NNc1cnc2ccccc2c1']; [0.9997941851615906]
+c1ccc2c(Nc3c[nH]c4cnccc34)ncnc2c1; ['Brc1c[nH]c2cnccc12']; ['Nc1ncnc2ccccc12']; [0.9946789741516113]
+COc1ccncc1NNc1ncnc2ccccc12; [None]; [None]; [0]
+CCN(CC)Nc1ncnc2ccccc12; [None]; [None]; [0]
+CC1(Nc2ncnc3ccccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Cc1cc(Nc2ncnc3ccccc23)n(-c2cccc(Cl)c2)n1; ['Cc1cc(N)n(-c2cccc(Cl)c2)n1']; ['Clc1ncnc2ccccc12']; [0.9994144439697266]
+CC(C)(C)NS(=O)(=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncnc2ccccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999306201934814, 0.9998738169670105, 0.9784929752349854, 0.9692097902297974]
+CS(=O)(=O)c1ccc(Nc2ncnc3ccccc23)cc1; ['CS(=O)(=O)c1ccc(N)cc1', 'Brc1ncnc2ccccc12', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncnc2ccccc12', 'CS(=O)(=O)c1ccc(N)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999170303344727, 0.9998384714126587, 0.9950175285339355, 0.9913170337677002, 0.9870564937591553, 0.9779130816459656]
+O=c1[nH]cc(Br)c2sc(Nc3ncnc4ccccc34)cc12; [None]; [None]; [0]
+c1ccc2c(Nc3cnc4[nH]ccc4c3)ncnc2c1; ['Brc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1cnc2[nH]ccc2c1', 'Clc1ncnc2ccccc12', 'Ic1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['Nc1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'O=c1[nH]cnc2ccccc12', 'Nc1cnc2[nH]ccc2c1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999966621398926, 0.9996259212493896, 0.9994346499443054, 0.9993608593940735, 0.9980467557907104, 0.9965447187423706]
+CNC(=O)c1c(F)cccc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+[NH3+]Cc1ccc(Nc2ncnc3ccccc23)cc1C(F)(F)F; [None]; [None]; [0]
+Fc1cccc(Cl)c1Nc1ncnc2ccccc12; ['Clc1ncnc2ccccc12', 'Nc1c(F)cccc1Cl']; ['Nc1c(F)cccc1Cl', 'O=c1[nH]cnc2ccccc12']; [0.9999520778656006, 0.9998971223831177]
+CN(Nc1ncnc2ccccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@H](NNc1ncnc2ccccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+c1ccc2c(Nc3ccc(-n4cncn4)cc3)ncnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1']; ['Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999865293502808, 0.999915361404419, 0.9955676794052124, 0.967548131942749]
+C[C@@H](NNc1ncnc2ccccc12)C(C)(C)O; [None]; [None]; [0]
+c1ccc2c(c1)cnn2Nc1ncnc2ccccc12; [None]; [None]; [0]
+C[C@H](NNc1ncnc2ccccc12)C(C)(C)O; [None]; [None]; [0]
+OCCc1cn(Nc2ncnc3ccccc23)cn1; [None]; [None]; [0]
+COc1ccc(Nc2ncnc3ccccc23)c(OC)c1; ['COc1ccc(N)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(N)c(OC)c1']; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9996674060821533, 0.9932688474655151, 0.9911283254623413]
+O=C(c1ccccc1)c1ccc(Nc2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ncnc2ccccc12', 'Nc1ccc(C(=O)c2ccccc2)cc1']; ['Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=c1[nH]cnc2ccccc12', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Oc1ncnc2ccccc12']; [0.9997036457061768, 0.9995959401130676, 0.9951751232147217, 0.994387686252594, 0.9851577877998352, 0.9757639169692993]
+OCc1ccn(Nc2ncnc3ccccc23)n1; [None]; [None]; [0]
+Oc1cccc2c1cnn2Nc1ncnc2ccccc12; [None]; [None]; [0]
+O=C(CCNc1ncnc2ccccc12)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(-c2ccc3nnc(CNc4ncnc5ccccc45)n3n2)cc1; [None]; [None]; [0]
+CSc1nc(C)c(Nc2ncnc3ccccc23)[nH]1; [None]; [None]; [0]
+c1ccc(Cn2cc(Nc3ncnc4ccccc34)nn2)cc1; [None]; [None]; [0]
+CCc1cc(Nc2ncnc3ccccc23)nc(N)n1; ['CCc1cc(N)nc(N)n1', 'CCc1cc(Cl)nc(N)n1', 'CCc1cc(=O)[nH]c(N)n1', 'CCc1cc(N)nc(N)n1']; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9993319511413574, 0.9976031184196472, 0.9939516186714172, 0.9873674511909485]
+c1ccc2c(Nc3nncn3C3CC3)ncnc2c1; [None]; [None]; [0]
+Oc1ccc2nc(Nc3ncnc4ccccc34)[nH]c2c1; [None]; [None]; [0]
+Nc1nnc(Nc2ncnc3ccccc23)s1; ['Clc1ncnc2ccccc12']; ['Nc1nnc(N)s1']; [0.9993646144866943]
+O=S(=O)(CNc1ncnc2ccccc12)NCc1ccccn1; [None]; [None]; [0]
+CCCCc1cc(Nc2ncnc3ccccc23)nc(N)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(Nc2ncnc3ccccc23)CC1; [None]; [None]; [0]
+CC(C)(O)c1cccc(Nc2ncnc3ccccc23)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1']; ['Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999017715454102, 0.9998071193695068]
+c1ccc2sc(Nc3ncnc4ccccc34)nc2c1; ['Clc1ncnc2ccccc12', 'Brc1nc2ccccc2s1']; ['Nc1nc2ccccc2s1', 'Nc1ncnc2ccccc12']; [0.9999798536300659, 0.9999059438705444]
+[NH3+]Cc1ccc(ONc2ncnc3ccccc23)c(F)c1; [None]; [None]; [0]
+[NH3+]CCn1ccc(Nc2ncnc3ccccc23)n1; [None]; [None]; [0]
+CC1(C)Oc2ccc(Nc3ncnc4ccccc34)nc2NC1=O; ['CC1(C)Oc2ccc(N)nc2NC1=O', 'Brc1ncnc2ccccc12', 'CC1(C)Oc2ccc(Br)nc2NC1=O']; ['Clc1ncnc2ccccc12', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'Nc1ncnc2ccccc12']; [0.9998847246170044, 0.9998787641525269, 0.9983409643173218]
+Nc1cncc(Nc2ncnc3ccccc23)n1; ['Clc1ncnc2ccccc12', 'Nc1cncc(Cl)n1']; ['Nc1cncc(N)n1', 'Nc1ncnc2ccccc12']; [0.9999862909317017, 0.9970840811729431]
+CNC(=O)c1ccc(Nc2ncnc3ccccc23)s1; [None]; [None]; [0]
+Nc1nc(Nc2ncnc3ccccc23)nc2ccccc12; ['Clc1ncnc2ccccc12', 'Nc1nc(Cl)nc2ccccc12']; ['Nc1nc(N)c2ccccc2n1', 'Nc1ncnc2ccccc12']; [0.9986634254455566, 0.9968112111091614]
+CC(C)n1cnnc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+c1ccc2c(Nc3c[nH]c4cccnc34)ncnc2c1; ['Clc1ncnc2ccccc12']; ['Nc1c[nH]c2cccnc12']; [0.9999806880950928]
+c1ccc2c(Nc3cccc4nnsc34)ncnc2c1; ['Clc1ncnc2ccccc12', 'Brc1cccc2nnsc12']; ['Nc1cccc2nnsc12', 'Nc1ncnc2ccccc12']; [0.9999645948410034, 0.9997491240501404]
+CNC(=O)c1ccc(NC(=O)c2cccc(Nc3ncnc4ccccc34)c2)cc1; [None]; [None]; [0]
+COc1ccc(C#N)cc1Nc1ncnc2ccccc12; ['COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1Br']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9995194673538208, 0.996079683303833, 0.9958124160766602]
+c1ccc2c(Nc3ncc4cc[nH]c4n3)ncnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Clc1ncc2cc[nH]c2n1']; ['Nc1ncc2cc[nH]c2n1', 'Nc1ncc2cc[nH]c2n1', 'Nc1ncnc2ccccc12']; [0.9999988079071045, 0.9999945163726807, 0.9999151229858398]
+OCCn1cnc(Nc2ncnc3ccccc23)c1; [None]; [None]; [0]
+COc1ccc(OC)c(Nc2ncnc3ccccc23)c1; ['COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9994885921478271, 0.997106671333313]
+C[C@@]1(O)CC[C@H](Nc2ncnc3ccccc23)CC1; ['C[C@]1(O)CC[C@@H](N)CC1', 'Brc1ncnc2ccccc12', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1']; ['Clc1ncnc2ccccc12', 'C[C@]1(O)CC[C@@H](N)CC1', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999896287918091, 0.9999822378158569, 0.9998006820678711, 0.9979158043861389, 0.997262179851532]
+CN(C)S(=O)(=O)c1cccc(Nc2ncnc3ccccc23)c1; ['CN(C)S(=O)(=O)c1cccc(N)c1', 'Brc1ncnc2ccccc12', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Clc1ncnc2ccccc12', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999721646308899, 0.9999589323997498, 0.9991471767425537, 0.9989416599273682]
+CC(=O)Nc1ncc(Nc2ncnc3ccccc23)[nH]1; [None]; [None]; [0]
+c1cc(Nc2ncnc3ccccc23)c2sccc2c1; [None]; [None]; [0]
+Clc1ccc2c(c1Nc1ncnc3ccccc13)OCO2; ['Clc1ncnc2ccccc12', 'Nc1c(Cl)ccc2c1OCO2']; ['Nc1c(Cl)ccc2c1OCO2', 'O=c1[nH]cnc2ccccc12']; [0.9999858140945435, 0.998589038848877]
+CN(C)c1cc(Nc2ncnc3ccccc23)cnn1; [None]; [None]; [0]
+Oc1cc(Nc2ncnc3ccccc23)ccc1Cl; ['Clc1ncnc2ccccc12', 'Nc1ccc(Cl)c(O)c1', 'Nc1ncnc2ccccc12']; ['Nc1ccc(Cl)c(O)c1', 'O=c1[nH]cnc2ccccc12', 'Oc1cc(Br)ccc1Cl']; [0.9967625141143799, 0.9874681234359741, 0.9377870559692383]
+c1cc(Nc2ncnc3ccccc23)c2cccnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Brc1cccc2ncccc12', 'Nc1cccc2ncccc12', 'Ic1cccc2ncccc12']; ['Nc1cccc2ncccc12', 'Nc1cccc2ncccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9996659159660339, 0.9996287822723389, 0.9968909025192261, 0.9951481819152832, 0.9935396909713745]
+c1ccc2c(Nc3n[nH]c4ccccc34)ncnc2c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1n[nH]c2ccccc12', 'Clc1n[nH]c2ccccc12']; ['Nc1n[nH]c2ccccc12', 'Nc1n[nH]c2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998263716697693, 0.9984737634658813, 0.991148054599762, 0.947312593460083]
+O=C(Nc1cccc(Nc2ncnc3ccccc23)c1)C1CCNCC1; [None]; [None]; [0]
+COc1ccc(ONc2ncnc3ccccc23)c(F)c1F; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1Nc1ncnc2ccccc12; ['COc1cc(C(N)=O)ccc1N']; ['Clc1ncnc2ccccc12']; [0.9990968704223633]
+NC(=O)c1ccc(Nc2ncnc3ccccc23)c(F)c1; ['Clc1ncnc2ccccc12', 'NC(=O)c1ccc(Cl)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(N)c(F)c1', 'NC(=O)c1ccc(F)c(F)c1']; ['NC(=O)c1ccc(N)c(F)c1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999966025352478, 0.9992355108261108, 0.9987622499465942, 0.9976393580436707, 0.9928489923477173]
+Oc1ccc(Nc2ncnc3ccccc23)c(Cl)c1; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ccc(O)cc1Cl']; ['Nc1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1', 'O=c1[nH]cnc2ccccc12']; [0.9977530241012573, 0.9955906867980957, 0.99043869972229]
+COc1ccc(F)cc1Nc1ncnc2ccccc12; ['COc1ccc(F)cc1N', 'COc1ccc(F)cc1N']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9998375177383423, 0.998744547367096]
+Oc1ccc(Nc2ncnc3ccccc23)c(F)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc(O)cc1F', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1ccc(O)cc1F', 'Nc1ccc(O)cc1F', 'O=c1[nH]cnc2ccccc12', 'Oc1ccc(Br)c(F)c1', 'Oc1ccc(Cl)c(F)c1']; [0.9999556541442871, 0.9997708201408386, 0.9986980557441711, 0.9983518123626709, 0.996819257736206]
+COc1cc(F)ccc1Nc1ncnc2ccccc12; ['COc1cc(F)ccc1N', 'COc1cc(F)ccc1N']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9996893405914307, 0.9926568269729614]
+c1ccc2[nH]c(C3CCN(Nc4ncnc5ccccc45)CC3)nc2c1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(Nc2ncnc3ccccc23)C1; [None]; [None]; [0]
+COC(=O)c1ccc(Nc2ncnc3ccccc23)o1; ['COC(=O)c1ccc(N)o1']; ['Clc1ncnc2ccccc12']; [0.9993860125541687]
+Clc1[nH]ncc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cn[nH]c1Cl']; ['Nc1cn[nH]c1Cl', 'Nc1cn[nH]c1Cl', 'O=c1[nH]cnc2ccccc12']; [0.9996402859687805, 0.9996383190155029, 0.9967648983001709]
+COC(=O)c1ccc(Cl)c(Nc2ncnc3ccccc23)c1; ['COC(=O)c1ccc(Cl)c(N)c1', 'COC(=O)c1ccc(Cl)c(N)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; ['O=c1[nH]cnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998416304588318, 0.9997548460960388, 0.9920045137405396]
+Oc1ccc(Nc2ncnc3ccccc23)cc1F; ['Clc1ncnc2ccccc12', 'Nc1ccc(O)c(F)c1']; ['Nc1ccc(O)c(F)c1', 'O=c1[nH]cnc2ccccc12']; [0.9995579719543457, 0.9970216751098633]
+Fc1ccc(Nc2ncnc3ccccc23)cc1Cl; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc(F)c(Cl)c1', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Br)cc1Cl']; ['Nc1ccc(F)c(Cl)c1', 'Nc1ccc(F)c(Cl)c1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999926090240479, 0.9995913505554199, 0.9988927841186523, 0.9961315393447876, 0.9895145893096924]
+Cc1nc2c(F)cc(Nc3ncnc4ccccc34)cc2[nH]1; [None]; [None]; [0]
+Clc1cccc(OCNc2ncnc3ccccc23)c1; [None]; [None]; [0]
+Clc1ccc(CCNc2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12', 'NCCc1ccc(Cl)cc1']; ['NCCc1ccc(Cl)cc1', 'O=c1[nH]cnc2ccccc12']; [0.9999479055404663, 0.9995690584182739]
+OC[C@@H](Nc1ncnc2ccccc12)c1ccccc1; ['Clc1ncnc2ccccc12', 'N[C@H](CO)c1ccccc1', 'Brc1ncnc2ccccc12', 'N[C@H](CO)c1ccccc1']; ['N[C@H](CO)c1ccccc1', 'O=c1[nH]cnc2ccccc12', 'N[C@H](CO)c1ccccc1', 'Oc1ncnc2ccccc12']; [0.9999464750289917, 0.9998466372489929, 0.9997861385345459, 0.9906666278839111]
+Nc1cc(Nc2ncnc3ccccc23)ccn1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(I)ccn1', 'Nc1cc(Cl)ccn1', 'Nc1ccnc(N)c1']; ['Nc1ccnc(N)c1', 'Nc1ccnc(N)c1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999800324440002, 0.9999446868896484, 0.9987479448318481, 0.9818084239959717, 0.981706976890564, 0.9659907817840576, 0.9496973752975464]
+Clc1ccccc1OCNc1ncnc2ccccc12; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Cc1ccc2[nH]ncc2c1N', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1N']; ['Cc1ccc2[nH]ncc2c1N', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999993443489075, 0.9999963045120239, 0.9998712539672852, 0.9997164011001587]
+Oc1ccc(Nc2ncnc3ccccc23)c(O)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc(O)cc1O', 'Nc1ncnc2ccccc12']; ['Nc1ccc(O)cc1O', 'Nc1ccc(O)cc1O', 'O=c1[nH]cnc2ccccc12', 'Oc1ccc(Br)c(O)c1']; [0.9995182752609253, 0.9994159936904907, 0.9932746887207031, 0.9805499315261841]
+Oc1ccc(Cl)c(Nc2ncnc3ccccc23)c1; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1cc(O)ccc1Cl']; ['Nc1cc(O)ccc1Cl', 'Oc1ccc(Cl)c(Br)c1', 'O=c1[nH]cnc2ccccc12']; [0.9997587203979492, 0.9974926710128784, 0.9963672161102295]
+Cc1ccc(CO)cc1Nc1ncnc2ccccc12; ['Brc1ncnc2ccccc12', 'Cc1ccc(CO)cc1N', 'Cc1ccc(CO)cc1N', 'Cc1ccc(CO)cc1N', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1I']; ['Cc1ccc(CO)cc1N', 'Clc1ncnc2ccccc12', 'Oc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9995708465576172, 0.9983724355697632, 0.9949029088020325, 0.9852955341339111, 0.9851624965667725, 0.9501336216926575]
+Oc1ncc(Nc2ncnc3ccccc23)cc1Cl; ['Nc1cnc(O)c(Cl)c1', 'Clc1ncnc2ccccc12', 'Nc1cnc(O)c(Cl)c1', 'Nc1ncnc2ccccc12']; ['O=c1[nH]cnc2ccccc12', 'Nc1cnc(O)c(Cl)c1', 'Oc1ncnc2ccccc12', 'Oc1ncc(Br)cc1Cl']; [0.9993131160736084, 0.9925788640975952, 0.9719828367233276, 0.9113117456436157]
+Oc1ccc(-c2ccc(Nc3ncnc4ccccc34)cc2)c(O)c1; [None]; [None]; [0]
+CCOc1cccc(Nc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'CCOc1cccc(N)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(N)c1']; ['CCOc1cccc(N)c1', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999024868011475, 0.9991637468338013, 0.9794294834136963, 0.8340651392936707]
+Fc1ccc(-c2nc[nH]c2Nc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+NC(=O)c1cc(Nc2ncnc3ccccc23)c[nH]1; ['NC(=O)c1cc(Br)c[nH]1']; ['Nc1ncnc2ccccc12']; [0.9044349789619446]
+Cc1nc2ccc(Nc3ncnc4ccccc34)cc2[nH]1; ['Brc1ncnc2ccccc12', 'Cc1nc2cc(N)ccc2[nH]1', 'Cc1nc2ccc(N)cc2[nH]1', 'Cc1nc2ccc(N)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1']; ['Cc1nc2ccc(N)cc2[nH]1', 'Clc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999868273735046, 0.9999757409095764, 0.9999529123306274, 0.9974879026412964, 0.9661270976066589]
+Oc1cncc(Nc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cncc(O)c1', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1cncc(O)c1', 'Nc1cncc(O)c1', 'O=c1[nH]cnc2ccccc12', 'Oc1cncc(Br)c1', 'Oc1cncc(Cl)c1']; [0.9999526739120483, 0.9990599155426025, 0.9966650009155273, 0.9598333835601807, 0.8810908794403076]
+CNc1nccc(Nc2ncnc3ccccc23)n1; ['CNc1nccc(N)n1', 'CNc1nccc(Cl)n1', 'Brc1ncnc2ccccc12', 'CNc1nccc(Br)n1']; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'CNc1nccc(N)n1', 'Nc1ncnc2ccccc12']; [0.9999836087226868, 0.9999619722366333, 0.9999486207962036, 0.9997515678405762]
+O=C1Cc2cc(Nc3ncnc4ccccc34)ccc2N1; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1ccc2c(c1)CC(=O)N2', 'Nc1ccc2c(c1)CC(=O)N2', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1ccc2c(c1)CC(=O)N2', 'Nc1ccc2c(c1)CC(=O)N2', 'Oc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(I)ccc2N1']; [0.9998683929443359, 0.9998118877410889, 0.9984289407730103, 0.9921748638153076, 0.9776623845100403, 0.9667845964431763, 0.9611775875091553]
+CCc1cc(O)ccc1Nc1ncnc2ccccc12; ['CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Cl']; ['Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9986932277679443, 0.9947850704193115]
+Clc1cnccc1Nc1ncnc2ccccc12; ['Clc1ncnc2ccccc12', 'Nc1ccncc1Cl', 'Clc1cnccc1I', 'Clc1cnccc1Br', 'Clc1ccncc1Cl']; ['Nc1ccncc1Cl', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999575018882751, 0.9997740983963013, 0.9996283054351807, 0.9993311166763306, 0.9929103851318359]
+Cc1cc(O)ccc1Nc1ncnc2ccccc12; ['Cc1cc(O)ccc1N', 'Cc1cc(O)ccc1N', 'Cc1cc(O)ccc1Br']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9996111392974854, 0.9981900453567505, 0.9970991015434265]
+Cc1n[nH]c(Nc2ncnc3ccccc23)c1C; ['Cc1n[nH]c(N)c1C', 'Brc1ncnc2ccccc12', 'Cc1n[nH]c(N)c1C']; ['Clc1ncnc2ccccc12', 'Cc1n[nH]c(N)c1C', 'O=c1[nH]cnc2ccccc12']; [0.9999613761901855, 0.9999504089355469, 0.999443769454956]
+CNc1nc(Nc2ncnc3ccccc23)ncc1F; ['CNc1nc(Cl)ncc1F', 'CNc1nc(N)ncc1F', 'CNc1nc(N)ncc1F']; ['Nc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9999375343322754, 0.9998456835746765, 0.9993884563446045]
+NC(=O)Nc1ccc(Nc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+Oc1c(Cl)cc(Nc2ncnc3ccccc23)cc1Cl; ['Clc1ncnc2ccccc12', 'Nc1cc(Cl)c(O)c(Cl)c1', 'Nc1cc(Cl)c(O)c(Cl)c1', 'Nc1ncnc2ccccc12']; ['Nc1cc(Cl)c(O)c(Cl)c1', 'O=c1[nH]cnc2ccccc12', 'Oc1ncnc2ccccc12', 'Oc1c(Cl)cc(Br)cc1Cl']; [0.9955639839172363, 0.9910036325454712, 0.9777108430862427, 0.8390664458274841]
+FC(F)c1cc(Nc2ncnc3ccccc23)[nH]n1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cc(C(F)F)n[nH]1']; ['Nc1cc(C(F)F)n[nH]1', 'Nc1cc(C(F)F)n[nH]1', 'O=c1[nH]cnc2ccccc12']; [0.9999077320098877, 0.9991689920425415, 0.9972480535507202]
+c1ccc2c(Nc3ccc4c(c3)CCN4)ncnc2c1; ['Clc1ncnc2ccccc12', 'Nc1ccc2c(c1)CCN2', 'Brc1ccc2c(c1)CCN2']; ['Nc1ccc2c(c1)CCN2', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999161958694458, 0.9990730285644531, 0.9909573197364807]
+CCc1cc(O)c(F)cc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+O=c1[nH]c2ccc(Nc3ncnc4ccccc34)cc2[nH]1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ccc2[nH]c(=O)[nH]c2c1', 'Nc1ncnc2ccccc12']; ['Nc1ccc2[nH]c(=O)[nH]c2c1', 'Nc1ccc2[nH]c(=O)[nH]c2c1', 'O=c1[nH]cnc2ccccc12', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.9999890327453613, 0.9999697804450989, 0.9981496334075928, 0.994688868522644]
+CNC(=O)c1cccc2cc(Nc3ncnc4ccccc34)ccc12; [None]; [None]; [0]
+Fc1cc(Br)ccc1Nc1ncnc2ccccc12; ['Clc1ncnc2ccccc12', 'Brc1ncnc2ccccc12', 'Nc1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br']; ['Nc1ccc(Br)cc1F', 'Nc1ccc(Br)cc1F', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999822378158569, 0.9999668598175049, 0.9997963309288025, 0.9950665831565857]
+Cc1oc(Nc2ncnc3ccccc23)cc1C(=O)[O-]; [None]; [None]; [0]
+Oc1cc(Nc2ncnc3ccccc23)nc2ccnn12; [None]; [None]; [0]
+CCc1sccc1Nc1ncnc2ccccc12; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(Nc2ncnc3ccccc23)cc1; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; ['Nc1ccc(C(=O)NC2CC2)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999874234199524, 0.999111533164978, 0.9952595233917236]
+Cc1nc2ccc(Nc3ncnc4ccccc34)cc2o1; ['Cc1nc2ccc(N)cc2o1', 'Cc1nc2ccc(N)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; ['Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999966621398926, 0.9999430179595947, 0.9992198944091797]
+Cc1cc(Nc2ncnc3ccccc23)cc(C)c1O; ['Brc1ncnc2ccccc12', 'Cc1cc(N)cc(C)c1O', 'Cc1cc(N)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O']; ['Cc1cc(N)cc(C)c1O', 'Clc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9995652437210083, 0.998382568359375, 0.988677442073822, 0.975558340549469, 0.845396101474762]
+Oc1c(F)cc(Nc2ncnc3ccccc23)cc1F; ['Clc1ncnc2ccccc12', 'Nc1cc(F)c(O)c(F)c1', 'Nc1cc(F)c(O)c(F)c1']; ['Nc1cc(F)c(O)c(F)c1', 'Oc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12']; [0.9989297389984131, 0.9974634647369385, 0.9937278032302856]
+Cc1cc(Nc2ncnc3ccccc23)ccc1C(N)=O; ['Brc1ncnc2ccccc12', 'Cc1cc(N)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(N)ccc1C(N)=O', 'Cc1cc(N)ccc1C(N)=O']; ['Cc1cc(N)ccc1C(N)=O', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9999363422393799, 0.9999099373817444, 0.9962482452392578, 0.9886287450790405, 0.9786611795425415]
+Oc1cc(Br)cc(Nc2ncnc3ccccc23)c1; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1cc(O)cc(Br)c1']; ['Nc1cc(O)cc(Br)c1', 'Nc1cc(O)cc(Br)c1', 'O=c1[nH]cnc2ccccc12']; [0.9997456669807434, 0.9994909763336182, 0.9963208436965942]
+CSc1cccc(Nc2ncnc3ccccc23)c1; ['CSc1cccc(N)c1', 'Brc1ncnc2ccccc12', 'CSc1cccc(N)c1', 'CSc1cccc(N)c1', 'CSc1cccc(Br)c1']; ['Clc1ncnc2ccccc12', 'CSc1cccc(N)c1', 'O=c1[nH]cnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998331069946289, 0.9996093511581421, 0.9876465797424316, 0.8869014978408813, 0.7754696011543274]
+Cc1onc(-c2ccccc2)c1Nc1ncnc2ccccc12; ['Cc1onc(-c2ccccc2)c1N', 'Cc1onc(-c2ccccc2)c1I']; ['Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12']; [0.9998527765274048, 0.9960012435913086]
+CCOc1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['CCOc1ccccc1C=O', 'CCOc1ccccc1C(=O)O', 'CCOc1ccccc1C=O']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999905228614807, 0.9999773502349854, 0.9994008541107178]
+O=c1[nH][nH]c2cc(Nc3ncnc4ccccc34)ccc12; ['Brc1ncnc2ccccc12', 'Clc1ncnc2ccccc12', 'Nc1ncnc2ccccc12', 'Nc1ccc2c(=O)[nH][nH]c2c1', 'Nc1ccc2c(=O)[nH][nH]c2c1', 'Nc1ncnc2ccccc12']; ['Nc1ccc2c(=O)[nH][nH]c2c1', 'Nc1ccc2c(=O)[nH][nH]c2c1', 'O=c1[nH][nH]c2cc(Br)ccc12', 'Nc1ncnc2ccccc12', 'O=c1[nH]cnc2ccccc12', 'O=c1[nH][nH]c2cc(F)ccc12']; [0.9999991655349731, 0.9999929666519165, 0.9994160532951355, 0.9993665814399719, 0.9992976188659668, 0.9811586737632751]
+Fc1ccc2n[nH]c(Nc3ncnc4ccccc34)c2c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['CNC(=O)c1ccccc1B(O)O']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9905884861946106]
+CC(C)S(=O)(=O)c1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9906119108200073]
+Fc1cc(F)cc(Cc2nc3cc(Br)cnc3[nH]2)c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1[N+](=O)[O-]', 'N#CCc1cc(F)cc(F)c1', 'Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; ['O=CCc1cc(F)cc(F)c1', 'O=CCc1cc(F)cc(F)c1', 'Nc1cc(Br)cnc1N', 'O=C(Cl)Cc1cc(F)cc(F)c1', 'O=C(O)Cc1cc(F)cc(F)c1']; [0.9999975562095642, 0.9999947547912598, 0.9999932646751404, 0.9999924898147583, 0.9999881386756897]
+Brc1cnc2[nH]c(-c3ccnc4ccccc34)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Clc1nc2cc(Br)cnc2[nH]1']; ['O=C(O)c1ccnc2ccccc12', 'O=Cc1ccnc2ccccc12', 'O=Cc1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.9998896718025208, 0.9996776580810547, 0.9966919422149658, 0.9107514023780823]
+FC(F)(F)Oc1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; ['O=Cc1ccccc1OC(F)(F)F', 'O=C(O)c1ccccc1OC(F)(F)F']; [0.9999982714653015, 0.9999947547912598]
+Fc1ccc(-c2ncoc2Nc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2Nc2ncnc3ccccc23)cc1; [None]; [None]; [0]
+CCn1cc(-c2nc3cc(Br)cnc3[nH]2)cn1; ['CCn1cc(C=O)cn1', 'CCn1cc(C(=O)O)cn1', 'CCn1cc(C=O)cn1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999785423278809, 0.999977171421051, 0.9994794726371765]
+FC(F)(F)c1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1[N+](=O)[O-]', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=C(O)c1cccc(C(F)(F)F)c1', 'O=Cc1cccc(C(F)(F)F)c1', 'O=Cc1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'O=Cc1cccc(C(F)(F)F)c1']; [0.999991238117218, 0.9999880790710449, 0.9999822974205017, 0.9997026920318604, 0.9995253086090088]
+CP(C)(=O)c1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['CP(C)(=O)c1ccccc1C(=O)O']; ['Nc1cc(Br)cnc1N']; [0.9998263716697693]
+COC(C)(C)CCc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1C(=O)O', 'Clc1nc2cc(Br)cnc2[nH]1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'NC(=O)c1ccccc1B(O)O']; [0.9991627335548401, 0.998956561088562, 0.9251533150672913]
+Brc1cnc2[nH]c(-c3cnn(Cc4ccccc4)c3)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Clc1nc2cc(Br)cnc2[nH]1']; ['O=C(O)c1cnn(Cc2ccccc2)c1', 'O=Cc1cnn(Cc2ccccc2)c1', 'O=Cc1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999964833259583, 0.9999944567680359, 0.9996212720870972, 0.9973125457763672]
+Cc1nnc(-c2ccccc2-c2nc3cc(Br)cnc3[nH]2)[nH]1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1)c1ccccc1; ['Nc1cc(Br)cnc1N', 'Brc1cnc2[nH]c(-c3ccccc3)nc2c1']; ['O=C(O)c1cccc(NC(=O)c2ccccc2)c1', 'O=c1onc(-c2ccccc2)o1']; [0.9997328519821167, 0.9993032813072205]
+Brc1cnc2[nH]c(-c3cnc(-c4ccccc4)[nH]3)nc2c1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2nc3cc(Br)cnc3[nH]2)c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=C(O)c1cc(Cl)ccc1Cl', 'O=Cc1cc(Cl)ccc1Cl', 'O=Cc1cc(Cl)ccc1Cl']; [0.9999334812164307, 0.999886691570282, 0.9416996240615845]
+Cn1cnc2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2c1=O; [None]; [None]; [0]
+Cc1ccc(-c2nc3cc(Br)cnc3[nH]2)c(Br)c1; ['Cc1ccc(C(=O)O)c(Br)c1', 'Cc1ccc(C=O)c(Br)c1', 'Cc1ccc(C=O)c(Br)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999425411224365, 0.9998565912246704, 0.9873193502426147]
+O=C([O-])c1ccccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+OCCn1cc(-c2nc3cc(Br)cnc3[nH]2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2nc3cc(Br)cnc3[nH]2)cs1; [None]; [None]; [0]
+Cc1nc(C)c(-c2nc3cc(Br)cnc3[nH]2)s1; ['Cc1nc(C)c(C=O)s1']; ['Nc1cc(Br)cnc1N']; [0.9873158931732178]
+Brc1cnc2[nH]c(-c3cnc4ccccn34)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cnc2ccccn12']; [0.9996811151504517]
 O=c1c2c(F)cccc2cnn1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=C(O)c1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl']; [0.999950647354126, 0.9989470839500427, 0.9886691570281982, 0.9461431503295898]
+COc1cnc(-c2nc3cc(Br)cnc3[nH]2)nc1; [None]; [None]; [0]
+Brc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1cccc(Br)c1', 'O=C(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'O=Cc1cccc(Br)c1']; [0.9999818801879883, 0.9998591542243958, 0.9998193383216858, 0.9994155168533325]
+Cc1ccc(Cl)c(-c2nc3cc(Br)cnc3[nH]2)c1; ['Cc1ccc(Cl)c(C=O)c1', 'Cc1ccc(Cl)c(C(=O)O)c1', 'Cc1ccc(Cl)c(C=O)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9998751878738403, 0.9995616674423218, 0.954460620880127]
 Cc1c(-c2nc3cc(Br)cnc3[nH]2)sc(=O)n1C; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3cnn4ncccc34)nc2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2nc3cc(Br)cnc3[nH]2)o1; [None]; [None]; [0]
-CN1c2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2CS1(=O)=O; [None]; [None]; [0]
+Brc1cnc2[nH]c(NCc3cccnc3)nc2c1; ['Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1']; ['S=C=NCc1cccnc1', 'NCc1cccnc1']; [0.9990708231925964, 0.9986533522605896]
+CNc1nc(C)c(-c2nc3cc(Br)cnc3[nH]2)s1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3cnn4ncccc34)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1cnn2ncccc12', 'O=C(O)c1cnn2ncccc12', 'O=Cc1cnn2ncccc12']; [0.9999711513519287, 0.9997953176498413, 0.9976320266723633]
+Brc1cnc2[nH]c(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3ccc4ccccc4c3)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccc2ccccc2c1', 'O=C(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'O=Cc1ccc2ccccc2c1']; [0.9999561905860901, 0.9997811317443848, 0.999046802520752, 0.9988260269165039]
+O=C(Nc1nc2cc(Br)cnc2[nH]1)c1cccs1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['NC(=O)c1cccs1']; [0.9944794774055481]
+CC(C)C(=O)COc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3cccc(Cn4cncn4)c3)nc2c1; [None]; [None]; [0]
+Brc1cnc2[nH]c(NCCc3c[nH]cn3)nc2c1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['NCCc1c[nH]cn1']; [0.8876898288726807]
+Brc1cnc2[nH]c(Nc3cccnc3)nc2c1; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N']; ['Nc1cccnc1', 'S=C=Nc1cccnc1']; [0.9924306869506836, 0.7879620790481567]
+Brc1cnc2[nH]c(-c3cncc4ccccc34)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1cncc2ccccc12', 'O=C(O)c1cncc2ccccc12', 'O=Cc1cncc2ccccc12']; [0.9998540878295898, 0.9992345571517944, 0.990673303604126]
+Nc1nccc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
+Brc1cnc2[nH]c(NCCc3ccccc3)nc2c1; ['Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1']; ['S=C=NCCc1ccccc1', 'NCCc1ccccc1']; [0.9749329090118408, 0.9052406549453735]
+FC(F)(F)c1n[nH]cc1-c1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=C(O)c1c[nH]nc1C(F)(F)F', 'O=Cc1c[nH]nc1C(F)(F)F', 'Clc1nc2cc(Br)cnc2[nH]1', 'O=Cc1c[nH]nc1C(F)(F)F']; [0.999996542930603, 0.9999951124191284, 0.999929666519165, 0.9995554685592651]
+NC(=O)c1c(F)cccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Cn1ncc2cc(-c3nc4cc(Br)cnc4[nH]3)ccc21; ['Cn1ncc2cc(C=O)ccc21', 'Cn1ncc2cc(C(=O)O)ccc21', 'Cn1ncc2cc(C=O)ccc21']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999764561653137, 0.9998064041137695, 0.998986005783081]
+Cn1cc(-c2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2)cn1; ['Cn1cc(-c2ccc(C(=O)O)cc2)cn1']; ['Nc1cc(Br)cnc1N']; [0.999951958656311]
+Brc1cnc2[nH]c(-n3cnc4ccccc43)nc2c1; [None]; [None]; [0]
+Clc1ccc(CNc2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1']; ['S=C=NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9994910359382629, 0.9914355874061584]
+O=C([O-])Cc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
+Oc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Clc1nc2cc(Br)cnc2[nH]1']; ['O=Cc1cccc(O)c1', 'O=C(O)c1cccc(O)c1', 'O=Cc1cccc(O)c1', 'OB(O)c1cccc(O)c1']; [0.9998306035995483, 0.9970936179161072, 0.9750897288322449, 0.9677547216415405]
+Nc1[nH]nc2cc(-c3nc4cc(Br)cnc4[nH]3)ccc12; [None]; [None]; [0]
 COc1cc(-c2nc3cc(Br)cnc3[nH]2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2nc3cc(Br)cnc3[nH]2)nn1; [None]; [None]; [0]
+OCc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1cccc(CO)c1', 'O=C(O)c1cccc(CO)c1', 'OCc1cccc(B(O)O)c1', 'O=Cc1cccc(CO)c1']; [0.9995570182800293, 0.9941048622131348, 0.9921020269393921, 0.9692112803459167]
+Brc1cnc2[nH]c(Nc3ccncc3)nc2c1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['Nc1ccncc1']; [0.9990035891532898]
+Brc1cnc2[nH]c(-c3ccc(-c4cn[nH]c4)cc3)nc2c1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1[N+](=O)[O-]', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['Clc1nc2cc(Br)cnc2[nH]1', 'O=C(O)c1ccc(-c2cn[nH]c2)cc1', 'O=Cc1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'O=Cc1ccc(-c2cn[nH]c2)cc1', 'O=Cc1ccc(-c2cn[nH]c2)cc1']; [0.9999850392341614, 0.9999823570251465, 0.9999291896820068, 0.9992887377738953, 0.9986066818237305, 0.9868664741516113]
+Fc1ccccc1CNc1nc2cc(Br)cnc2[nH]1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['NCc1ccccc1F']; [0.9996248483657837]
+CC(C)c1oncc1-c1nc2cc(Br)cnc2[nH]1; ['CC(C)c1oncc1C(=O)O']; ['Nc1cc(Br)cnc1N']; [0.9995616674423218]
+CN1c2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2CS1(=O)=O; [None]; [None]; [0]
+CCCn1cnc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3csc4ncncc34)nc2c1; [None]; [None]; [0]
 Brc1cnc2[nH]c(CCc3c[nH]nn3)nc2c1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-O=C(Nc1nc2cc(Br)cnc2[nH]1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3cc4ccccc4[nH]3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cc2ccccc2[nH]1']; [0.9998793601989746]
+CC(C)n1cc(-c2nc3cc(Br)cnc3[nH]2)nn1; [None]; [None]; [0]
+Fc1ccc(-c2nc3cc(Br)cnc3[nH]2)c(C(F)(F)F)c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=C(O)c1ccc(F)cc1C(F)(F)F', 'O=Cc1ccc(F)cc1C(F)(F)F', 'O=Cc1ccc(F)cc1C(F)(F)F']; [0.9999986290931702, 0.9999979734420776, 0.9997467994689941]
+Nc1nc(-c2nc3cc(Br)cnc3[nH]2)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1[N+](=O)[O-]', 'Nc1cc(Br)cnc1N']; ['Nc1ncncc1C(=O)O', 'Nc1ncncc1C=O', 'Nc1ncncc1C=O']; [0.9999768733978271, 0.9998810291290283, 0.9998587369918823]
+CCC(=O)Nc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2s1; [None]; [None]; [0]
+N#CCCc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2nc3cc(Br)cnc3[nH]2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9959384799003601]
+NC(=O)CCCc1nc2cc(Br)cnc2[nH]1; ['NC(=O)CCCC(=O)O']; ['Nc1cc(Br)cnc1N']; [0.9996851682662964]
+Brc1cnc2[nH]c(Oc3ccccn3)nc2c1; ['Fc1ccccn1', 'Brc1ccccn1']; ['Oc1nc2cc(Br)cnc2[nH]1', 'Oc1nc2cc(Br)cnc2[nH]1']; [0.9993641376495361, 0.9991613626480103]
+O=C(Nc1nc2cc(Br)cnc2[nH]1)c1c(Cl)cccc1Cl; ['Clc1nc2cc(Br)cnc2[nH]1']; ['NC(=O)c1c(Cl)cccc1Cl']; [0.9995067119598389]
+CC(=O)Nc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['CC(=O)Nc1cccc(C(=O)O)c1', 'CC(=O)Nc1cccc(C=O)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; [0.9998831748962402, 0.9985901117324829]
+COc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1Cl; ['COc1ccc(C(=O)O)cc1Cl', 'COc1ccc(C=O)cc1Cl', 'COc1ccc(C=O)cc1Cl']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999929070472717, 0.999989926815033, 0.9990688562393188]
+CSc1nc(-c2nc3cc(Br)cnc3[nH]2)c[nH]1; [None]; [None]; [0]
 CC(C)(COc1nc2cc(Br)cnc2[nH]1)S(C)(=O)=O; [None]; [None]; [0]
+Cn1cc(-c2nc3cc(Br)cnc3[nH]2)c2ccccc21; ['Cn1cc(C=O)c2ccccc21', 'Cn1cc(C(=O)O)c2ccccc21', 'Cn1cc(C=O)c2ccccc21']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999979138374329, 0.9999786615371704, 0.999930202960968]
+Brc1cnc2[nH]c(-c3cnn4ccccc34)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Clc1nc2cc(Br)cnc2[nH]1', 'Brc1cnc2[nH]cnc2c1']; ['O=C(O)c1cnn2ccccc12', 'O=Cc1cnn2ccccc12', 'O=Cc1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'Ic1cnn2ccccc12']; [0.9999951720237732, 0.9999902844429016, 0.9992440342903137, 0.996928334236145, 0.9708616733551025]
+COc1cc(CCc2nc3cc(Br)cnc3[nH]2)cc(OC)c1; ['COc1cc(CCC=O)cc(OC)c1', 'COc1cc(CCC(=O)O)cc(OC)c1', 'CCOC(=O)CCc1cc(OC)cc(OC)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; [0.999672532081604, 0.999632716178894, 0.9994807243347168]
+CCCn1cc(-c2nc3cc(Br)cnc3[nH]2)cn1; ['CCCn1cc(C(=O)O)cn1', 'CCCn1cc(C=O)cn1', 'CCCn1cc(C=O)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Clc1nc2cc(Br)cnc2[nH]1']; [0.9999995231628418, 0.9999990463256836, 0.9999600648880005, 0.9997870922088623]
+O=c1cc(-c2nc3cc(Br)cnc3[nH]2)cc[nH]1; ['Nc1cc(Br)cnc1N']; ['O=C(O)c1cc[nH]c(=O)c1']; [0.9974215030670166]
+CC(C)(O)CC(=O)NCCc1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3nc4cc(Br)cnc4[nH]3)c21; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1nc2cc(Br)cnc2[nH]1; ['Brc1cnc2[nH]c(-c3ccccc3)nc2c1']; ['CCN']; [0.7724350094795227]
+C[S@](=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CS(=O)c1ccc(C(=O)O)cc1']; ['Nc1cc(Br)cnc1N']; [0.9996521472930908]
+CCN(CC)c1nc2cc(Br)cnc2[nH]1; ['CCNCC']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9027231335639954]
+C[C@@H](Oc1nc2cc(Br)cnc2[nH]1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.983037531375885]
 [NH3+]Cc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1nc2cc(Br)cnc2[nH]1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999624490737915, 0.999779462814331, 0.9979748725891113]
+CC(C)(N)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3nc4cc(Br)cnc4[nH]3)cc12; ['Nc1cc(Br)cnc1N']; ['O=Cc1cc2c(=O)[nH]ccc2o1']; [0.9998182058334351]
+CC(C)Oc1cncc(-c2nc3cc(Br)cnc3[nH]2)c1; ['CC(C)Oc1cncc(C=O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(C=O)c1', 'CC(C)Oc1cncc(C(=O)O)c1']; ['Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Nc1cc(Br)cnc1N']; [0.9990069270133972, 0.9988642930984497, 0.9900575876235962, 0.9858194589614868]
+COc1ccncc1Nc1nc2cc(Br)cnc2[nH]1; ['COc1ccncc1N']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9944766759872437]
+Brc1cnc2[nH]c(Nc3cnc4ccccc4c3)nc2c1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['Nc1cnc2ccccc2c1']; [0.9915937781333923]
 O=c1[nH]cc(Br)c2sc(-c3nc4cc(Br)cnc4[nH]3)cc12; [None]; [None]; [0]
 Brc1cnc2[nH]c(Nc3cnccc3-c3ccccc3)nc2c1; [None]; [None]; [0]
+CC1(c2nc3cc(Br)cnc3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3c[nH]c4cnccc34)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1c[nH]c2cnccc12', 'O=C(O)c1c[nH]c2cnccc12', 'O=Cc1c[nH]c2cnccc12']; [0.9999805688858032, 0.9996397495269775, 0.9968612790107727]
+Brc1cnc2[nH]c(-c3cnc4[nH]ccc4c3)nc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1[N+](=O)[O-]', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['Clc1nc2cc(Br)cnc2[nH]1', 'OB(O)c1cnc2[nH]ccc2c1', 'O=Cc1cnc2[nH]ccc2c1', 'O=Cc1cnc2[nH]ccc2c1', 'O=C(O)c1cnc2[nH]ccc2c1', 'O=Cc1cnc2[nH]ccc2c1']; [0.9999286532402039, 0.9997881650924683, 0.9995416402816772, 0.9995272755622864, 0.9987149238586426, 0.9964474439620972]
+COc1cccc(F)c1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3ccc(N4CCOCC4)cc3)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccc(N2CCOCC2)cc1', 'O=C(O)c1ccc(N2CCOCC2)cc1', 'O=Cc1ccc(N2CCOCC2)cc1']; [0.999984860420227, 0.9999809861183167, 0.999616265296936]
+CS(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CS(=O)(=O)c1ccc(C(=O)O)cc1', 'CS(=O)(=O)c1ccc(C=O)cc1', 'CS(=O)(=O)c1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999942779541016, 0.9999558925628662, 0.9997649788856506]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(C(=O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2[nH]c(-c3ccccc3)nc2c1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'CC(C)(C)N']; [0.9999669790267944, 0.9997080564498901, 0.9843069314956665, 0.98429274559021]
 CN(c1nc2cc(Br)cnc2[nH]1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+OCc1ccn(-c2nc3cc(Br)cnc3[nH]2)n1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['OCc1cc[nH]n1']; [0.9733244180679321]
+Cc1cc(-c2nc3cc(Br)cnc3[nH]2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(C(=O)O)cc1', 'CNS(=O)(=O)c1ccc(C=O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(C=O)cc1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999838471412659, 0.9997729659080505, 0.9971675872802734, 0.9961962699890137, 0.9928832650184631]
 C[C@H](Nc1nc2cc(Br)cnc2[nH]1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1nc2cc(Br)cnc2[nH]1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Clc1nc2cc(Br)cnc2[nH]1']; ['O=C(O)c1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl']; [1.0, 0.9999979734420776, 0.9998514652252197, 0.9988627433776855]
+Brc1cnc2[nH]c(-n3ncc4ccccc43)nc2c1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['c1ccc2[nH]ncc2c1']; [0.9941821098327637]
+C[C@H](Nc1nc2cc(Br)cnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
+COc1ccc(-c2nc3cc(Br)cnc3[nH]2)c(OC)c1; ['COc1ccc(C(=O)O)c(OC)c1', 'COc1ccc(C=O)c(OC)c1', 'COc1ccc(C=O)c(OC)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999077320098877, 0.9998548030853271, 0.9930118918418884]
+O=C(c1ccccc1)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccc(C(=O)c2ccccc2)cc1', 'O=C(O)c1ccc(C(=O)c2ccccc2)cc1', 'O=Cc1ccc(C(=O)c2ccccc2)cc1']; [0.9993613362312317, 0.999221682548523, 0.9960089921951294]
+C[C@@H](Nc1nc2cc(Br)cnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3ccc(-n4cncn4)cc3)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1[N+](=O)[O-]', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccc(-n2cncn2)cc1', 'O=Cc1ccc(-n2cncn2)cc1', 'O=C(O)c1ccc(-n2cncn2)cc1', 'O=Cc1ccc(-n2cncn2)cc1']; [0.9999988079071045, 0.9999979734420776, 0.9999968409538269, 0.9998773336410522]
+CC(=O)N[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
+CSc1nc(C)c(-c2nc3cc(Br)cnc3[nH]2)[nH]1; [None]; [None]; [0]
+Oc1ccc2nc(-c3nc4cc(Br)cnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+OCCc1cn(-c2nc3cc(Br)cnc3[nH]2)cn1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+O=C(CCc1nc2cc(Br)cnc2[nH]1)NCc1ccccn1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3nncn3C3CC3)nc2c1; [None]; [None]; [0]
 Brc1cnc2[nH]c(Cc3nnc4ccc(-c5ccccc5)nn34)nc2c1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
 O=S(=O)(Cc1nc2cc(Br)cnc2[nH]1)NCc1ccccn1; [None]; [None]; [0]
+CCc1cc(-c2nc3cc(Br)cnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3cn(Cc4ccccc4)nn3)nc2c1; [None]; [None]; [0]
+CCCCc1cc(-c2nc3cc(Br)cnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)s1; [None]; [None]; [0]
+Nc1nnc(-c2nc3cc(Br)cnc3[nH]2)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3cccc4ccsc34)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1']; ['O=Cc1cccc2ccsc12', 'O=C(O)c1cccc2ccsc12', 'O=Cc1cccc2ccsc12', 'O=C(Cl)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9990948438644409, 0.9948390126228333, 0.9867357015609741, 0.9810969829559326, 0.9628888368606567]
+C[C@@H2]NC(=O)N1CCC(c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2nc3cc(Br)cnc3[nH]2)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3nc4cc(Br)cnc4[nH]3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3nc4cc(Br)cnc4[nH]3)c2)cc1; [None]; [None]; [0]
 Brc1cnc2[nH]c(-c3cccc4nnsc34)nc2c1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3nc4ccccc4s3)nc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3nc4cc(Br)cnc4[nH]3)c2)cc1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3c[nH]c4cccnc34)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1c[nH]c2cccnc12', 'O=C(O)c1c[nH]c2cccnc12', 'O=Cc1c[nH]c2cccnc12']; [0.9999790787696838, 0.9998781681060791, 0.9979466795921326]
+COc1ccc(C#N)cc1-c1nc2cc(Br)cnc2[nH]1; ['COc1ccc(C#N)cc1C=O', 'COc1ccc(C#N)cc1C(=O)O', 'COc1ccc(C#N)cc1C=O']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999786615371704, 0.999941349029541, 0.9966485500335693]
+CC1(C)Oc2ccc(-c3nc4cc(Br)cnc4[nH]3)nc2NC1=O; [None]; [None]; [0]
+Nc1nc(-c2nc3cc(Br)cnc3[nH]2)nc2ccccc12; [None]; [None]; [0]
+Nc1cncc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2nc3cc(Br)cnc3[nH]2)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2nc3cc(Br)cnc3[nH]2)c1; ['COc1ccc(OC)c(C(=O)O)c1', 'COc1ccc(OC)c(C=O)c1', 'COc1ccc(OC)c(C=O)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999872446060181, 0.9999608993530273, 0.96650230884552]
+Brc1cnc2[nH]c(-c3ncc4ccccc4n3)nc2c1; [None]; [None]; [0]
+OCCn1cnc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
+Brc1cnc2[nH]c(N3CCC(c4nc5ccccc5[nH]4)CC3)nc2c1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9989147186279297]
+Brc1cnc2[nH]c(-c3ncc4cc[nH]c4n3)nc2c1; [None]; [None]; [0]
 COc1ccc(Oc2nc3cc(Br)cnc3[nH]2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2nc3cc(Br)cnc3[nH]2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
+CCOc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CCOc1ccc(C(=O)O)cc1', 'CCOc1ccc(C=O)cc1', 'CCOc1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999765157699585, 0.9999615550041199, 0.997201681137085]
+COc1ncccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
+Brc1cnc2[nH]c(N3CC=C(c4c[nH]c5ccccc45)CC3)nc2c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9998713731765747]
+CN(C)c1cc(-c2nc3cc(Br)cnc3[nH]2)cnn1; [None]; [None]; [0]
+COc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['COc1ccc(C(=O)O)cc1', 'COc1ccc(C(O)S(=O)(=O)[O-])cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999648928642273, 0.9997820258140564, 0.9997037649154663, 0.9973720908164978]
+CS(=O)(=O)c1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; ['CS(=O)(=O)c1cccc(C=O)c1', 'CS(=O)(=O)c1cccc(C(=O)O)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Clc1nc2cc(Br)cnc2[nH]1']; [0.9999988079071045, 0.9999985694885254, 0.9999895095825195, 0.998624324798584]
+N#Cc1ccc(O)c(-c2nc3cc(Br)cnc3[nH]2)c1; ['N#Cc1ccc(O)c(C=O)c1', 'N#Cc1ccc(O)c(C(=O)O)c1', 'N#Cc1ccc(O)c(C=O)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9997071027755737, 0.9897536635398865, 0.9744670391082764]
+COc1cc(-c2nc3cc(Br)cnc3[nH]2)cc(OC)c1OC; ['COc1cc(C=O)cc(OC)c1OC', 'COc1cc(C(=O)O)cc(OC)c1OC', 'COc1cc(C=O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Clc1nc2cc(Br)cnc2[nH]1']; [0.999958872795105, 0.9998050928115845, 0.9948588609695435, 0.9916552305221558]
 O=C(Nc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1)C1CCNCC1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1)C1CC1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Cc1cc(Nc2nc3cc(Br)cnc3[nH]2)sn1; ['Cc1cc(N)sn1']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9937370419502258]
+Cc1ccc2ncn(-c3nc4cc(Br)cnc4[nH]3)c2c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(C(=O)O)cc1', 'NC(=O)c1ccc(C=O)cc1', None, 'Clc1nc2cc(Br)cnc2[nH]1', 'NC(=O)c1ccc(C=O)cc1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', None, 'NC(=O)c1ccc(B(O)O)cc1', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999827146530151, 0.9999312162399292, 0.999403715133667, 0, 0.9981764554977417, 0.9921436905860901]
+Brc1cnc2[nH]c(Nc3ncccn3)nc2c1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['Nc1ncccn1']; [0.9995516538619995]
+O=C(Nc1ccccc1)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; ['O=C(O)c1ccc(C(=O)Nc2ccccc2)cc1', 'O=Cc1ccc(C(=O)Nc2ccccc2)cc1']; [0.9998562932014465, 0.9996938705444336]
+O=C([O-])c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccc(OCCO)cc1', 'O=C(O)c1ccc(OCCO)cc1', 'O=Cc1ccc(OCCO)cc1']; [0.9999366998672485, 0.9998682737350464, 0.9810547232627869]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2)CC1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3nccc4ccccc34)nc2c1; [None]; [None]; [0]
+O=C(c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'O=C(O)c1ccc(C(=O)N2CCOCC2)cc1', 'O=Cc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.9999966621398926, 0.9999823570251465, 0.999947190284729, 0.9998220205307007]
 N#Cc1cccc(Cn2cc(-c3nc4cc(Br)cnc4[nH]3)cn2)c1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3nc4ccccc4[nH]3)nc2c1; [None]; [None]; [0]
+Brc1cnc2[nH]c(Nc3ccncn3)nc2c1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['Nc1ccncn1']; [0.9904406666755676]
+FC(F)(F)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=C(O)c1ccc(C(F)(F)F)cc1', 'O=Cc1ccc(C(F)(F)F)cc1', 'O=Cc1ccc(C(F)(F)F)cc1']; [0.9999972581863403, 0.9999664425849915, 0.9975311160087585]
+CC(=O)NCc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3cccc(C4CCNCC4)c3)nc2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CN(C)c1ccc(C(=O)O)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999531507492065, 0.9998080730438232, 0.9986695051193237]
+O=C(c1ccc(-c2nc3cc(Br)cnc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CCNS(=O)(=O)c1ccc(C(=O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2[nH]c(-c3ccccc3)nc2c1']; ['Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'CCN']; [0.999660849571228, 0.9777976274490356, 0.9423130750656128]
+Brc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=C(O)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.9999349117279053, 0.9996935725212097, 0.9952982664108276]
 O=S1(=O)Cc2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(-c2nc3cc(Br)cnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(C(=O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2[nH]cnc2c1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'CN(C)S(=O)(=O)c1ccc(I)cc1']; [0.999990701675415, 0.9974169731140137, 0.9917521476745605, 0.974097490310669]
 CC(=O)N1CCCN(c2cccc(-c3nc4cc(Br)cnc4[nH]3)c2)CC1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(C(=O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1']; [0.9999987483024597, 0.9999284148216248, 0.999418318271637]
+Brc1cnc2[nH]c(-c3ccn4nccc4n3)nc2c1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2nc3cc(Br)cnc3[nH]2)C1; [None]; [None]; [0]
 CCCOc1ccc(-c2nc3cc(Br)cnc3[nH]2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3nc4cc(Br)cnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1nc2cc(Br)cnc2[nH]1; ['COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1C(=O)O', 'COc1ccc(Cl)cc1C=O']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999661445617676, 0.9999488592147827, 0.9561628103256226]
+CC(C)c1cc(-c2nc3cc(Br)cnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+COc1cc(OC)c(-c2nc3cc(Br)cnc3[nH]2)cc1Cl; ['COc1cc(OC)c(C=O)cc1Cl', 'COc1cc(OC)c(C=O)cc1Cl']; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999352097511292, 0.9929486513137817]
+Cc1c(C(=O)[O-])cccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Clc1nc2cc(Br)cnc2[nH]1']; [0.9999849796295166, 0.9988471865653992]
+Brc1cnc2[nH]c(-c3ccccc3-n3cccn3)nc2c1; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Clc1nc2cc(Br)cnc2[nH]1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'O=C(O)c1ccccc1-n1cccn1', 'O=Cc1ccccc1-n1cccn1', 'O=Cc1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1']; [0.9999668598175049, 0.9999550580978394, 0.9998964071273804, 0.9942203760147095, 0.9866698980331421]
+CN(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1Cl; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3cccc4c3OCO4)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1']; ['O=C(O)c1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2']; [0.9997844696044922, 0.9995571374893188, 0.9862163662910461]
+Brc1cnc2[nH]c(-c3c[nH]c4ccccc34)nc2c1; [None]; [None]; [0]
+COc1cc(-c2nc3cc(Br)cnc3[nH]2)ccc1O; ['COc1cc(C=O)ccc1O', 'COc1cc(C(=O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(C=O)ccc1O']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9981117248535156, 0.9965961575508118, 0.9851317405700684, 0.8220693469047546]
+Brc1cnc2[nH]c(-c3scc4c3OCCO4)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1scc2c1OCCO2']; [0.9999626874923706]
+Brc1cnc2[nH]c(-c3ccc4c(c3)CCO4)nc2c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3nc4cc(Br)cnc4[nH]3)nc2c1F; [None]; [None]; [0]
-O=C(C1CC1)N1CC(Nc2nc3cc(Br)cnc3[nH]2)C1; [None]; [None]; [0]
-Nc1cc(-c2nc3cc(Br)cnc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3nc4cc(Br)cnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3cnc4ccccc4c3)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Nc1cc(Br)cnc1N']; ['O=Cc1cnc2ccccc2c1', 'O=Cc1cnc2ccccc2c1', 'O=C(O)c1cnc2ccccc2c1']; [0.9997568130493164, 0.9963573217391968, 0.9915440082550049]
+COc1cccc(C(=O)Nc2nc3cc(Br)cnc3[nH]2)c1; ['COc1cccc(C(N)=O)c1']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9994145035743713]
+Clc1cccc(-n2ccc(-c3nc4cc(Br)cnc4[nH]3)n2)c1; [None]; [None]; [0]
+CC1(COc2nc3cc(Br)cnc3[nH]2)COC1; ['CC1(CO)COC1']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9870805740356445]
+Brc1cnc2[nH]c(-c3cc4ccccc4s3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cc2ccccc2s1']; [0.9997074604034424]
+CSc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CSc1ccc(C(=O)O)cc1', 'CSc1ccc(C=O)cc1', 'CSc1ccc(C=O)cc1', 'CSc1ccc(B(O)O)cc1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Clc1nc2cc(Br)cnc2[nH]1']; [0.9999380111694336, 0.9999090433120728, 0.9979122877120972, 0.9803072214126587]
+CN(C)C(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CN(C)C(=O)c1ccc(C(=O)O)cc1', 'CN(C)C(=O)c1ccc(C=O)cc1', 'CN(C)C(=O)c1ccc(C=O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Clc1nc2cc(Br)cnc2[nH]1']; [0.9999817609786987, 0.9999501705169678, 0.9994679689407349, 0.9994641542434692]
+CC(C)(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cn1; ['CC(C)(C)c1ccc(C=O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(C(=O)O)cn1', 'CC(C)(C)c1ccc(C=O)cn1']; ['Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999451637268066, 0.9995906352996826, 0.9995403289794922, 0.9993055462837219]
+Fc1ccc(-c2nc3cc(Br)cnc3[nH]2)c(Cl)c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccc(F)cc1Cl', 'O=C(O)c1ccc(F)cc1Cl', 'O=Cc1ccc(F)cc1Cl']; [0.9999985694885254, 0.9999977350234985, 0.9989739656448364]
+Brc1cnc2[nH]c(-c3cc(-c4ccccc4)[nH]n3)nc2c1; [None]; [None]; [0]
+CCc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CCc1ccc(C(=O)O)cc1', 'CCc1ccc(C=O)cc1', 'CCc1ccc(C=O)cc1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999518990516663, 0.9999009370803833, 0.9970913529396057]
+Clc1ccc(-c2nc3cc(Br)cnc3[nH]2)c(Cl)c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; ['O=Cc1ccc(Cl)cc1Cl', 'O=C(O)c1ccc(Cl)cc1Cl']; [0.9999512434005737, 0.9999405145645142]
+COc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1OC; ['COc1ccc(C=O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(C(=O)O)cc1OC', 'COc1ccc(C=O)cc1OC']; ['Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9998164176940918, 0.9988572001457214, 0.9983036518096924, 0.9927544593811035]
+O=C1CCc2cc(-c3nc4cc(Br)cnc4[nH]3)ccc2N1; ['Nc1cc(Br)cnc1N']; ['O=C1CCc2cc(C(=O)O)ccc2N1']; [0.999913215637207]
+COc1ccc(CNc2nc3cc(Br)cnc3[nH]2)cc1; ['COc1ccc(CN=C=S)cc1', 'COc1ccc(CN)cc1']; ['Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1']; [0.9992263317108154, 0.9987632632255554]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2)CC1; [None]; [None]; [0]
+COc1cc(-c2nc3cc(Br)cnc3[nH]2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9998096227645874]
+Brc1cnc2[nH]c(-c3cc4ccccn4n3)nc2c1; ['Nc1cc(Br)cnc1N']; ['O=Cc1cc2ccccn2n1']; [0.9980869293212891]
+O=C(C1CC1)N1CC(Nc2nc3cc(Br)cnc3[nH]2)C1; [None]; [None]; [0]
+COc1ccc2cccc(-c3nc4cc(Br)cnc4[nH]3)c2c1; ['COc1ccc2cccc(C=O)c2c1', 'COc1ccc2cccc(C=O)c2c1']; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999144077301025, 0.996909499168396]
+COc1cc(F)c(-c2nc3cc(Br)cnc3[nH]2)cc1OC; ['COc1cc(F)c(C(=O)O)cc1OC', 'COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C=O)cc1OC']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999954700469971, 0.9999945163726807, 0.9998418092727661]
+Brc1cnc(-c2nc3cc(Br)cnc3[nH]2)nc1; [None]; [None]; [0]
+COc1cc(-c2nc3cc(Br)cnc3[nH]2)ccc1Cl; ['COc1cc(C=O)ccc1Cl', 'COc1cc(C(=O)O)ccc1Cl', 'COc1cc(C=O)ccc1Cl']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999496340751648, 0.9997618794441223, 0.9814099073410034]
+CC1(C)Cc2cc(-c3nc4cc(Br)cnc4[nH]3)ccc2O1; ['CC1(C)Cc2cc(C=O)ccc2O1']; ['Nc1cc(Br)cnc1N']; [0.9999815225601196]
+Cc1nc(Nc2nc3cc(Br)cnc3[nH]2)sc1C; ['Cc1nc(N)sc1C']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.999744713306427]
+Brc1cnc2[nH]c(-c3ncc4cccn4n3)nc2c1; [None]; [None]; [0]
+Cc1cc(-c2nc3cc(Br)cnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3nc4cc(Br)cnc4[nH]3)c2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=C(O)c1cccc2ccc(O)cc12', 'O=Cc1cccc2ccc(O)cc12', 'O=Cc1cccc2ccc(O)cc12']; [0.9998420476913452, 0.9997612237930298, 0.9771209359169006]
+Cn1cc(-c2nc3cc(Br)cnc3[nH]2)c(C(F)(F)F)n1; ['Cn1cc(C=O)c(C(F)(F)F)n1', 'Clc1nc2cc(Br)cnc2[nH]1', 'Cn1cc(C(=O)O)c(C(F)(F)F)n1', 'Cn1cc(C=O)c(C(F)(F)F)n1', 'Clc1nc2cc(Br)cnc2[nH]1']; ['Nc1cc(Br)cnc1N', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; [0.9999974966049194, 0.999994158744812, 0.9999890327453613, 0.9999722838401794, 0.99968421459198]
+Cc1cc(Nc2nc3cc(Br)cnc3[nH]2)nn1C; ['Cc1cc(N)nn1C']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9993510246276855]
+CNC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(C=O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1']; [0.9999905824661255, 0.9976786375045776, 0.9948911666870117]
+CCNC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)nc1; [None]; [None]; [0]
+O=C(Nc1nc2cc(Br)cnc2[nH]1)c1ccco1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['NC(=O)c1ccco1']; [0.9974798560142517]
+COc1cc(-c2nc3cc(Br)cnc3[nH]2)c(OC)cc1Br; ['COc1cc(C(=O)O)c(OC)cc1Br', 'COc1cc(C=O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(C=O)c(OC)cc1Br']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999160170555115, 0.9998778104782104, 0.9981542825698853, 0.9978176355361938]
+CCNC(=O)N1CCC(c2nc3cc(Br)cnc3[nH]2)CC1; [None]; [None]; [0]
+Cc1csc2c(-c3nc4cc(Br)cnc4[nH]3)ncnc12; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nc3cc(Br)cnc3[nH]2)cc1; ['NC(=O)c1ccc(CC(=O)O)cc1']; ['Nc1cc(Br)cnc1N']; [0.9989412426948547]
+CO[C@@H]1CC[C@@H](c2nc3cc(Br)cnc3[nH]2)CC1; ['CO[C@H]1CC[C@H](C(=O)O)CC1']; ['Nc1cc(Br)cnc1N']; [0.999914824962616]
+O=S(=O)(CCO)c1ccc(Cc2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N']; ['O=C(O)Cc1ccc(S(=O)(=O)CCO)cc1']; [0.9710965156555176]
+Clc1cnc(-c2nc3cc(Br)cnc3[nH]2)nc1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3ccc4cn[nH]c4c3)nc2c1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=Cc1ccc2cn[nH]c2c1', 'O=C(O)c1ccc2cn[nH]c2c1', 'O=Cc1ccc2cn[nH]c2c1']; [0.9996440410614014, 0.9992338418960571, 0.9340915083885193]
 O=C(Nc1cn[nH]c1)c1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc2oc(-c3nc4cc(Br)cnc4[nH]3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(C=O)cc2c1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N']; [0.9994810819625854, 0.9986280202865601]
+COc1cc(OC)cc(-c2nc3cc(Br)cnc3[nH]2)c1; ['COc1cc(OC)cc(C(=O)O)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(C=O)cc(OC)c1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1[N+](=O)[O-]', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999333024024963, 0.9998693466186523, 0.999724268913269, 0.9992396235466003, 0.9934450387954712]
+COc1cc(CS(C)(=O)=O)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2nc3cc(Br)cnc3[nH]2)cc1; ['CC(C)(C)c1ccc(C(N)=O)cc1']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9989731907844543]
+Brc1cnc2[nH]c(-c3cc4ccccc4o3)nc2c1; ['Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1']; ['O=Cc1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1']; [0.9998401999473572, 0.9997429251670837]
+Nc1cc(-c2nc3cc(Br)cnc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3ncc4sccc4n3)nc2c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1nc3cc(Br)cnc3[nH]1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3nc4cc(Br)cnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-Brc1cnc2[nH]c(-c3ncn4c3CCCC4)nc2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1nc2cc(Br)cnc2[nH]1; ['CC(C)c1nn(C)cc1C=O', 'CC(C)c1nn(C)cc1C(=O)O', 'CC(C)c1nn(C)cc1C=O']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999709129333496, 0.9998562335968018, 0.9961033463478088]
+FC(F)(F)Oc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; ['O=C(O)c1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1']; [0.9999980926513672, 0.9999973773956299, 0.9994373917579651]
+COc1ccc(F)c(C(=O)Nc2nc3cc(Br)cnc3[nH]2)c1; ['COc1ccc(F)c(C(N)=O)c1']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9991946220397949]
+CNC(=O)c1ccc(OC)c(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
+Brc1cnc2[nH]c(-c3cc(-c4cccnc4)ccn3)nc2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+CCc1cccc(-c2nc3cc(Br)cnc3[nH]2)n1; ['CCc1cccc(C#N)n1', 'CCc1cccc(C=O)n1']; ['Nc1cc(Br)cnc1N', 'Nc1cc(Br)cnc1N']; [0.9999436140060425, 0.9999243021011353]
+O=C(Nc1cccc(-c2nc3cc(Br)cnc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
+Cc1cc(-c2nc3cc(Br)cnc3[nH]2)cc(C)c1OCCO; ['Cc1cc(C=O)cc(C)c1OCCO']; ['Nc1cc(Br)cnc1N']; [0.9947423934936523]
+Cc1n[nH]c2cc(-c3nc4cc(Br)cnc4[nH]3)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(C(=O)O)ccc12']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N']; [0.999943733215332, 0.9999419450759888]
 Cn1nc(Cl)c2cc(-c3nc4cc(Br)cnc4[nH]3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3nc4cc(Br)cnc4[nH]3)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1nc2cc(Br)cnc2[nH]1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+COc1ccc2nc(-c3nc4cc(Br)cnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(C=O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(C(=O)O)cn1', 'CN(C)c1ccc(C=O)cn1']; ['Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Clc1nc2cc(Br)cnc2[nH]1', 'Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9997724294662476, 0.997543454170227, 0.9967575669288635, 0.9957671165466309, 0.9643186330795288]
+O=C(Nc1nc2cc(Br)cnc2[nH]1)c1cccc(OC(F)(F)F)c1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['NC(=O)c1cccc(OC(F)(F)F)c1']; [0.9999516010284424]
+OCCc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; ['Nc1cc(Br)cnc1N', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Clc1nc2cc(Br)cnc2[nH]1']; ['O=C(O)c1ccc(CCO)cc1', 'Clc1nc2cc(Br)cnc2[nH]1', 'OCCc1ccc(B(O)O)cc1']; [0.9994407296180725, 0.9990882873535156, 0.8240949511528015]
+Brc1cnc2[nH]c(-c3ncn4c3CCCC4)nc2c1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3nc4cc(Br)cnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3nc4cc(Br)cnc4[nH]3)cc2)n1C; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3nc4cc(Br)cnc4[nH]3)cn2)CC1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1nc2cc(Br)cnc2[nH]1; ['Cc1cc(N2CCOCC2)ccc1C=O', 'Cc1cc(N2CCOCC2)ccc1C=O']; ['Nc1cc(Br)cnc1N', 'Nc1ncc(Br)cc1[N+](=O)[O-]']; [0.9999228715896606, 0.9963936805725098]
+CN(C)C(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)c(Cl)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9998257160186768]
 COc1cc(-c2cnn(C)c2)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc3cc(Br)cnc3[nH]2)nc1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+Cc1cc(Nc2nc3cc(Br)cnc3[nH]2)ncc1F; ['Cc1cc(N)ncc1F']; ['Clc1nc2cc(Br)cnc2[nH]1']; [0.9798771142959595]
+Brc1cnc2[nH]c(Nc3ccccn3)nc2c1; ['N#CNc1ccccn1', 'Clc1nc2cc(Br)cnc2[nH]1']; ['Nc1cc(Br)cnc1N', 'Nc1ccccn1']; [0.9976174831390381, 0.9965994358062744]
+Fc1ccc(Nc2nc3cc(Br)cnc3[nH]2)nc1; ['Clc1nc2cc(Br)cnc2[nH]1']; ['Nc1ccc(F)cn1']; [0.9985888600349426]
+CCNC(=O)Cc1ccc(-c2nc3cc(Br)cnc3[nH]2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2nc3cc(Br)cnc3[nH]2)c1; ['CS(=O)(=O)c1ccc(Cl)c(C(=O)O)c1']; ['Nc1cc(Br)cnc1N']; [0.9999793767929077]
+COc1cc(S(C)(=O)=O)ccc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
 Cn1nc(-c2nc3cc(Br)cnc3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2nc3cc(Br)cnc3[nH]2)ncc1F; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ncc4ccccc4n3)cn12; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+CCOc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Br)cc1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9900573492050171, 0.8980648517608643, 0.8532043099403381]
+CNC(=O)c1ccc(C)c(-c2nc3cc(Br)cnc3[nH]2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1nc2cc(Br)cnc2[nH]1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cn3c(Cl)cnc3cn2)c1; ['CS(=O)(=O)c1cccc(Br)c1']; ['Clc1cnc2cnccn12']; [0.9176487922668457]
+COc1cc(-c2cn3c(Cl)cnc3cn2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9717831611633301, 0.9163284301757812, 0.7742392420768738]
 COc1ncccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-COc1cc(-c2cn3c(Cl)cnc3cn2)cc(OC)c1OC; [None]; [None]; [0]
+Oc1cccc(-c2cn3c(Cl)cnc3cn2)c1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1']; [0.9558718800544739, 0.8189667463302612]
 Cc1ccc2ncn(-c3cn4c(Cl)cnc4cn3)c2c1; [None]; [None]; [0]
-Oc1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+COc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9803029298782349, 0.8532812595367432]
 Clc1cnc2cnc(-c3cnc4cccnn34)cn12; [None]; [None]; [0]
-COc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ccc(N4CCOCC4)cc3)cn12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cn3c(Cl)cnc3cn2)c1)C1CC1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3nc4ccccc4[nH]3)cn12; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cn4c(Cl)cnc4cn3)cc2)CC1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ccc(N4CCOCC4)cc3)cn12; ['Brc1ccc(N2CCOCC2)cc1']; ['Clc1cnc2cnccn12']; [0.9671492576599121]
+CC(=O)N(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ncc4ccccc4n3)cn12; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 Cc1cc(Nc2cn3c(Cl)cnc3cn2)sn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 O=C([O-])c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cn3c(Cl)cnc3cn2)cn1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['Clc1cnc2cnccn12']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.9748655557632446]
+Clc1cnc2cnc(-c3nc4ccccc4[nH]3)cn12; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cn3c(Cl)cnc3cn2)c1)C1CC1; [None]; [None]; [0]
 Clc1cnc2cnc(Nc3ncccn3)cn12; [None]; [None]; [0]
+OCCOc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['Clc1cnc2cnccn12']; ['OCCOc1ccc(I)cc1']; [0.9181163311004639]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cn4c(Cl)cnc4cn3)cc2)CC1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3nccc4ccccc34)cn12; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cn4c(Cl)cnc4cn3)cn2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-Clc1cnc2cnc(Cc3nccc4ccccc34)cn12; [None]; [None]; [0]
-OCCOc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cccc(C4CCNCC4)c3)cn12; [None]; [None]; [0]
-O=C(c1ccc(-c2cn3c(Cl)cnc3cn2)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2cn3c(Cl)cnc3cn2)nc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2cn3c(Cl)cnc3cn2)cc1)N1CCOCC1; ['Clc1cnc2cnccn12']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.9993168115615845]
 Clc1cnc2cnc(Nc3ccncn3)cn12; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1']; [0.9987668991088867, 0.9934576153755188, 0.9056894779205322]
 C[C@H](O)COc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2cn3c(Cl)cnc3cn2)nc1)N1CCOCC1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(I)cc1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9849897623062134, 0.8918259143829346]
 C[C@@H](O)COc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9536571502685547, 0.7720669507980347]
+Clc1cnc2cnc(-c3cccc(C4CCNCC4)c3)cn12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3cn4c(Cl)cnc4cn3)cc2C1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ccc(Br)cc3)cn12; ['Clc1cnc2cnccn12', 'Brc1ccc(I)cc1']; ['OB(O)c1ccc(Br)cc1', 'Clc1cnc2cnccn12']; [0.9720456600189209, 0.8937721252441406]
+O=C(c1ccccc1)N1CC[C@H](c2cn3c(Cl)cnc3cn2)C1; [None]; [None]; [0]
 Cc1nc(C)c(-c2cn3c(Cl)cnc3cn2)s1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2cn3c(Cl)cnc3cn2)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2cn3c(Cl)cnc3cn2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cn3c(Cl)cnc3cn2)C1; [None]; [None]; [0]
-CC(C)c1cc(-c2cn3c(Cl)cnc3cn2)nc(N)n1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cn4c(Cl)cnc4cn3)c2)CC1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CCCOc1ccc(-c2cn3c(Cl)cnc3cn2)nc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ccc(Br)cc3)cn12; [None]; [None]; [0]
+CC(C)c1cc(-c2cn3c(Cl)cnc3cn2)nc(N)n1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.982675313949585, 0.8587992191314697]
+CNS(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)c(C)c1; [None]; [None]; [0]
 CN(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3c[nH]c4ccccc34)cn12; [None]; [None]; [0]
-COc1cc(OC)c(-c2cn3c(Cl)cnc3cn2)cc1Cl; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cn4c(Cl)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ccc4c(c3)CCO4)cn12; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cc4ccccc4cn3)cn12; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cc(-c4ccccc4)[nH]n3)cn12; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ccccc3-n3cccn3)cn12; ['Brc1ccccc1-n1cccn1', 'Clc1cnc2cnccn12', 'Clc1ccccc1-n1cccn1']; ['Clc1cnc2cnccn12', 'OB(O)c1ccccc1-n1cccn1', 'Clc1cnc2cnccn12']; [0.994999885559082, 0.9894229769706726, 0.7803276777267456]
+COc1ccc(Cl)cc1-c1cn2c(Cl)cnc2cn1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Br']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9881906509399414, 0.9660908579826355, 0.9193109273910522]
+Clc1cnc2cnc(-c3ccc4c(c3)CCO4)cn12; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Brc1ccc2c(c1)CCO2']; ['OB(O)c1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'Clc1cnc2cnccn12']; [0.9998036026954651, 0.9993246793746948, 0.9930412769317627]
+COc1cc(OC)c(-c2cn3c(Cl)cnc3cn2)cc1Cl; ['COc1cc(OC)c(Br)cc1Cl']; ['Clc1cnc2cnccn12']; [0.7885204553604126]
+CCCOc1ccc(-c2cn3c(Cl)cnc3cn2)nc1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3c[nH]c4ccccc34)cn12; ['Brc1c[nH]c2ccccc12']; ['Clc1cnc2cnccn12']; [0.7614655494689941]
 CC(=O)Nc1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-COc1cc(-c2cn3c(Cl)cnc3cn2)ccc1O; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cccc4c3OCO4)cn12; [None]; [None]; [0]
-Clc1cnc2cnc(-c3scc4c3OCCO4)cn12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cnc4ccccc4c3)cn12; [None]; [None]; [0]
+Clc1cnc2cnc(-c3cccc4c3OCO4)cn12; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Ic1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2']; [0.8576347827911377, 0.8097345232963562]
+COc1cc(-c2cn3c(Cl)cnc3cn2)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9798369407653809, 0.9796853065490723]
+CC(C)(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9916936159133911, 0.9192521572113037]
+Clc1cnc2cnc(-c3cnc4ccccc4c3)cn12; ['Clc1cnc2cnccn12']; ['OB(O)c1cnc2ccccc2c1']; [0.9633697867393494]
+Clc1cnc2cnc(-c3cc(-c4ccccc4)[nH]n3)cn12; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cn1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cn4c(Cl)cnc4cn3)nc2c1F; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cn3c(Cl)cnc3cn2)CC1; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3cn4c(Cl)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ccn4nccc4n3)cn12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cn1; ['CC(C)(C)c1ccc(Br)cn1']; ['Clc1cnc2cnccn12']; [0.8116586208343506]
 CC1(COc2cn3c(Cl)cnc3cn2)COC1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+CSc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['CSc1ccc(B(O)O)cc1']; ['Clc1cnc2cnccn12']; [0.9201592206954956]
+Clc1cnc2cnc(-c3cc4ccccc4s3)cn12; [None]; [None]; [0]
+Clc1cnc2cnc(-c3scc4c3OCCO4)cn12; [None]; [None]; [0]
+O=C1CCc2cc(-c3cn4c(Cl)cnc4cn3)ccc2N1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9073333740234375, 0.9030550718307495]
+Fc1ccc(-c2cn3c(Cl)cnc3cn2)c(Cl)c1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Fc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(I)c(Cl)c1']; [0.9887986779212952, 0.9851366281509399, 0.9622501134872437]
 CCN1CCN(Cc2ccc(-c3cn4c(Cl)cnc4cn3)cc2)CC1; [None]; [None]; [0]
+COc1ccc(-c2cn3c(Cl)cnc3cn2)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9875496625900269, 0.9854176640510559, 0.9259175062179565]
+Clc1cccc(-n2ccc(-c3cn4c(Cl)cnc4cn3)n2)c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cn3c(Cl)cnc3cn2)CC1; [None]; [None]; [0]
+CCc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['CCc1ccc(B(O)O)cc1']; ['Clc1cnc2cnccn12']; [0.9422497749328613]
+Nc1nc(-c2cn3c(Cl)cnc3cn2)cs1; [None]; [None]; [0]
+COc1ccc(CNc2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+Clc1ccc(-c2cn3c(Cl)cnc3cn2)c(Cl)c1; ['Clc1cnc2cnccn12', 'Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1']; ['OB(O)c1ccc(Cl)cc1Cl', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9282618761062622, 0.8927282094955444, 0.7695309519767761]
 Cc1cc(-c2cn3c(Cl)cnc3cn2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Fc1ccc(-c2cn3c(Cl)cnc3cn2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(-c2cn3c(Cl)cnc3cn2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9995388984680176, 0.9805448055267334]
 Clc1cnc2cnc(-c3ncc(Br)cn3)cn12; [None]; [None]; [0]
-COc1ccc(-c2cn3c(Cl)cnc3cn2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-COc1ccc(CNc2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-Clc1ccc(-c2cn3c(Cl)cnc3cn2)c(Cl)c1; [None]; [None]; [0]
-Clc1cnc2cnc(CCCn3cncn3)cn12; [None]; [None]; [0]
-O=C(C1CC1)N1CC(Nc2cn3c(Cl)cnc3cn2)C1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ncc4cccn4n3)cn12; [None]; [None]; [0]
-COc1cc(-c2cn3c(Cl)cnc3cn2)ccc1N1CCOCC1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cc4ccccn4n3)cn12; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
 Cn1cc(-c2cn3c(Cl)cnc3cn2)c(C(F)(F)F)n1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cn4c(Cl)cnc4cn3)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['Clc1cnc2cnccn12']; [0.9503291249275208]
+Oc1ccc2cccc(-c3cn4c(Cl)cnc4cn3)c2c1; ['Clc1cnc2cnccn12']; ['Oc1ccc2cccc(I)c2c1']; [0.8006728887557983]
+COc1cc(-c2cn3c(Cl)cnc3cn2)ccc1Cl; ['COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9983917474746704, 0.9935608506202698, 0.9815117120742798]
+COc1cc(F)c(-c2cn3c(Cl)cnc3cn2)cc1OC; ['COc1cc(F)c(B(O)O)cc1OC']; ['Clc1cnc2cnccn12']; [0.9901894330978394]
 CC1(C)Cc2cc(-c3cn4c(Cl)cnc4cn3)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cn4c(Cl)cnc4cn3)c2c1; [None]; [None]; [0]
-Oc1ccc2cccc(-c3cn4c(Cl)cnc4cn3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cn3c(Cl)cnc3cn2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cn3c(Cl)cnc3cn2)ccc1Cl; [None]; [None]; [0]
-Clc1cnc(-c2cn3c(Cl)cnc3cn2)nc1; [None]; [None]; [0]
-Cc1csc2c(-c3cn4c(Cl)cnc4cn3)ncnc12; [None]; [None]; [0]
+OCCn1cc(-c2cn3c(Cl)cnc3cn2)cn1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ncc4cccn4n3)cn12; [None]; [None]; [0]
 Cc1nc(Nc2cn3c(Cl)cnc3cn2)sc1C; [None]; [None]; [0]
-Nc1cc(-c2cn3c(Cl)cnc3cn2)c2cc[nH]c2n1; [None]; [None]; [0]
+O=C(C1CC1)N1CC(Nc2cn3c(Cl)cnc3cn2)C1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3cc4ccccn4n3)cn12; [None]; [None]; [0]
 Cc1cc(Nc2cn3c(Cl)cnc3cn2)nn1C; [None]; [None]; [0]
-COc1cc(-c2cn3c(Cl)cnc3cn2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['Clc1cnc2cnccn12']; [0.9717099070549011]
+COc1cc(-c2cn3c(Cl)cnc3cn2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br']; ['Clc1cnc2cnccn12']; [0.9971505999565125]
+Cc1csc2c(-c3cn4c(Cl)cnc4cn3)ncnc12; [None]; [None]; [0]
 O=C(Nc1cn2c(Cl)cnc2cn1)c1ccco1; [None]; [None]; [0]
+Clc1cnc(-c2cn3c(Cl)cnc3cn2)nc1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)nc1; [None]; [None]; [0]
+Nc1cc(-c2cn3c(Cl)cnc3cn2)c2cc[nH]c2n1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cn3c(Cl)cnc3cn2)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9936039447784424, 0.8362091779708862]
+NC(=O)c1ccc(Cc2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cn3c(Cl)cnc3cn1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cn4c(Cl)cnc4cn3)cc2c1; [None]; [None]; [0]
+CCn1cc(-c2cn3c(Cl)cnc3cn2)cn1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ccc4cn[nH]c4c3)cn12; ['Clc1cnc2cnccn12']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.9928273558616638]
 CO[C@@H]1CC[C@@H](c2cn3c(Cl)cnc3cn2)CC1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2cn3c(Cl)cnc3cn2)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cn3c(Cl)cnc3cn1)cn2C; [None]; [None]; [0]
-COc1ccc2oc(-c3cn4c(Cl)cnc4cn3)cc2c1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ccc4cn[nH]c4c3)cn12; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(C(=O)Nc2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CCn1cc(-c2cn3c(Cl)cnc3cn2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cc(-c4cccnc4)ccn3)cn12; [None]; [None]; [0]
 Clc1cnc2cnc(-c3cc4ccccc4o3)cn12; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ncc4sccc4n3)cn12; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cn3c(Cl)cnc3cn2)c1)N1CCCC1; [None]; [None]; [0]
 COc1ccc2nc(-c3cn4c(Cl)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1']; [0.99993896484375, 0.999610960483551, 0.9991941452026367, 0.9558538198471069]
+CNC(=O)c1ccc(OC)c(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3cc(-c4cccnc4)ccn3)cn12; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cn4c(Cl)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cn3c(Cl)cnc3cn2)c1)N1CCCC1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ncc4sccc4n3)cn12; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 Cn1cc(-c2cn3c(Cl)cnc3cn2)c2ccccc21; [None]; [None]; [0]
-CCc1cccc(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ncn4c3CCCC4)cn12; [None]; [None]; [0]
-Cc1cc(-c2cn3c(Cl)cnc3cn2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1ncc2cc(-c3cn4c(Cl)cnc4cn3)ccc21; [None]; [None]; [0]
+Cn1ncc2cc(-c3cn4c(Cl)cnc4cn3)ccc21; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21']; [0.9977793097496033, 0.9647841453552246]
+Cc1n[nH]c2cc(-c3cn4c(Cl)cnc4cn3)ccc12; ['Cc1n[nH]c2cc(Br)ccc12']; ['Clc1cnc2cnccn12']; [0.8077150583267212]
+CN(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['Clc1cnc2cnccn12']; [0.9907284379005432]
 Cn1nc(Cl)c2cc(-c3cn4c(Cl)cnc4cn3)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2cn3c(Cl)cnc3cn2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cn4c(Cl)cnc4cn3)ccc12; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cn4c(Cl)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cn4c(Cl)cnc4cn3)cn2)CC1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-OCCc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+CCc1cccc(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
+Cc1cc(-c2cn3c(Cl)cnc3cn2)cc(C)c1OCCO; [None]; [None]; [0]
 O=C(Nc1cn2c(Cl)cnc2cn1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)c(Cl)c1; [None]; [None]; [0]
+OCCc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cn2c(Cl)cnc2cn1; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Clc1cnc2cnccn12']; [0.882169246673584]
+O=C1CCCN1c1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ncn4c3CCCC4)cn12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cn4c(Cl)cnc4cn3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['CCNC(=O)c1ccc(I)cc1']; ['Clc1cnc2cnccn12']; [0.9022763967514038]
+CN(C)C(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)c(Cl)c1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)c(OC)c1; [None]; [None]; [0]
-Cn1nc(-c2cn3c(Cl)cnc3cn2)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+Clc1cnc2cnc(Nc3ccccn3)cn12; [None]; [None]; [0]
 Fc1ccc(Nc2cn3c(Cl)cnc3cn2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)c(OC)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cn3c(Cl)cnc3cn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Clc1cnc2cnccn12']; [0.7693756818771362]
 Cc1cc(Nc2cn3c(Cl)cnc3cn2)ncc1F; [None]; [None]; [0]
-Clc1cnc2cnc(Nc3ccccn3)cn12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+CCOc1ccccc1-c1cn2c(Cl)cnc2cn1; ['CCOc1ccccc1B(O)O']; ['Clc1cnc2cnccn12']; [0.8149462938308716]
+CCNC(=O)Cc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+Cn1nc(-c2cn3c(Cl)cnc3cn2)cc1C(C)(C)O; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-CCOc1ccccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-COC(C)(C)CCc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cn3c(Cl)cnc3cn2)[nH]1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)nc1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 Fc1cc(F)cc(Cc2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ccnc4ccccc34)cn12; ['Brc1ccnc2ccccc12', 'Clc1cnc2cnccn12']; ['Clc1cnc2cnccn12', 'Ic1ccnc2ccccc12']; [0.9816439747810364, 0.9721918106079102]
 CP(C)(=O)c1ccccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ccnc4ccccc34)cn12; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ccccc3Br)cn12; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+COC(C)(C)CCc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cn3c(Cl)cnc3cn2)c1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Cl)c1']; [0.9988971948623657, 0.9981239438056946, 0.9607377052307129, 0.8598517775535583]
+Cc1ccc(C(=O)NCCO)cc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cn3c(Cl)cnc3cn2)[nH]1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1cn2c(Cl)cnc2cn1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Cl']; [0.9955500364303589, 0.9934592247009277, 0.971814751625061, 0.8335632085800171]
 NC(=O)c1ccccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cnn(Cc4ccccc4)c3)cn12; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cnc(-c4ccccc4)[nH]3)cn12; [None]; [None]; [0]
-N[C@H](c1cn2c(Cl)cnc2cn1)c1ccco1; [None]; [None]; [0]
-OCCn1cc(-c2cn3c(Cl)cnc3cn2)cn1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cn3c(Cl)cnc3cn2)c1)c1ccccc1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cn4c(Cl)cnc4cn3)cc2c1=O; [None]; [None]; [0]
+Clc1cnc2cnc(-c3cnn(Cc4ccccc4)c3)cn12; [None]; [None]; [0]
+Cc1ccc(-c2cn3c(Cl)cnc3cn2)c(Br)c1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2cn3c(Cl)cnc3cn2)c1; ['Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9698814153671265, 0.8351974487304688]
 CC(C)(C)c1nc(-c2cn3c(Cl)cnc3cn2)cs1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3cnc(-c4ccccc4)[nH]3)cn12; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 COc1cnc(-c2cn3c(Cl)cnc3cn2)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Cc1ccc(-c2cn3c(Cl)cnc3cn2)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cnc4ccccn34)cn12; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cn3c(Cl)cnc3cn2)s1; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1cn2c(Cl)cnc2cn1; ['Clc1cccc(Cl)c1I', 'Clc1cnc2cnccn12', 'Clc1cccc(Cl)c1Br']; ['Clc1cnc2cnccn12', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cnc2cnccn12']; [0.9905312061309814, 0.9814126491546631, 0.9368709921836853]
+Clc1cnc2cnc(-c3cccc(Br)c3)cn12; ['Clc1cnc2cnccn12', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1']; ['OB(O)c1cccc(Br)c1', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9985118508338928, 0.9893186092376709, 0.8970681428909302]
+Cc1nc2ccccn2c1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 Clc1cnc2cnc(-c3cccc(Cn4cncn4)c3)cn12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cn3c(Cl)cnc3cn2)c1; ['Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9690000414848328, 0.9115941524505615]
+CC(C)C(=O)COc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 Clc1cnc2cnc(NCc3cccnc3)cn12; [None]; [None]; [0]
-Cc1c(-c2cn3c(Cl)cnc3cn2)sc(=O)n1C; [None]; [None]; [0]
-Nc1nccc(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
-COc1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cnn4ncccc34)cn12; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ccc4ccccc4c3)cn12; [None]; [None]; [0]
-Clc1cnc2cnc(Nc3cccnc3)cn12; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ccc4ccccc4c3)cn12; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1']; [0.9835327863693237, 0.870115339756012]
+Clc1cnc2cnc(-c3cnc4ccccn34)cn12; [None]; [None]; [0]
+CNc1nc(C)c(-c2cn3c(Cl)cnc3cn2)s1; [None]; [None]; [0]
 Clc1cnc2cnc(-n3cnc4ccccc43)cn12; [None]; [None]; [0]
+Clc1cnc2cnc(Nc3cccnc3)cn12; [None]; [None]; [0]
 Clc1cnc2cnc(NCCc3c[nH]cn3)cn12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cn3c(Cl)cnc3cn2)o1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3cnn4ncccc34)cn12; [None]; [None]; [0]
 O=C(Nc1cn2c(Cl)cnc2cn1)c1cccs1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
 Clc1cnc2cnc(-c3cncc4ccccc34)cn12; [None]; [None]; [0]
+Cc1c(-c2cn3c(Cl)cnc3cn2)sc(=O)n1C; [None]; [None]; [0]
 Clc1cnc2cnc(NCCc3ccccc3)cn12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cn4c(Cl)cnc4cn3)cc2)cn1; [None]; [None]; [0]
-CN1c2ccc(-c3cn4c(Cl)cnc4cn3)cc2CS1(=O)=O; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1cn2c(Cl)cnc2cn1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['FC(F)(F)c1n[nH]cc1I', 'FC(F)(F)c1n[nH]cc1Br']; [0.9940084218978882, 0.9910775423049927]
+Nc1nccc(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
 Nc1[nH]nc2cc(-c3cn4c(Cl)cnc4cn3)ccc12; [None]; [None]; [0]
-CCCn1cnc(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
+CN1c2ccc(-c3cn4c(Cl)cnc4cn3)cc2CS1(=O)=O; [None]; [None]; [0]
+Clc1ccc(CNc2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ccc(-c4cn[nH]c4)cc3)cn12; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cn4c(Cl)cnc4cn3)cc2)cn1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+Clc1cnc2cnc(Nc3ccncc3)cn12; [None]; [None]; [0]
+Fc1ccccc1CNc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 OCc1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3csc4ncncc34)cn12; ['Brc1csc2ncncc12']; ['Clc1cnc2cnccn12']; [0.9725863933563232]
 COc1cc(-c2cn3c(Cl)cnc3cn2)ccc1C(=O)[O-]; [None]; [None]; [0]
-Clc1cnc2cnc(Nc3ccncc3)cn12; [None]; [None]; [0]
-CC(C)n1cc(-c2cn3c(Cl)cnc3cn2)nn1; [None]; [None]; [0]
+CCCn1cnc(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
+Nc1ncncc1-c1cn2c(Cl)cnc2cn1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Nc1ncncc1I', 'Nc1ncncc1Br']; [0.9761745929718018, 0.8785202503204346]
 CSc1nc(-c2cn3c(Cl)cnc3cn2)c[nH]1; [None]; [None]; [0]
+CC(C)n1cc(-c2cn3c(Cl)cnc3cn2)nn1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cn3c(Cl)cnc3cn2)c1; ['Clc1cnc2cnccn12']; ['N#CCCc1cccc(B(O)O)c1']; [0.8990476727485657]
 Clc1cnc2cnc(CCc3c[nH]nn3)cn12; [None]; [None]; [0]
 CC(C)c1oncc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3csc4ncncc34)cn12; [None]; [None]; [0]
-N#CCCc1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cn4c(Cl)cnc4cn3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2cn3c(Cl)cnc3cn2)c(C(F)(F)F)c1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cn3c(Cl)cnc3cn2)CC1; [None]; [None]; [0]
+Clc1cnc2cnc(Oc3ccccn3)cn12; [None]; [None]; [0]
+Clc1cnc2cnc(-c3cc4ccccc4[nH]3)cn12; [None]; [None]; [0]
+Fc1ccc(-c2cn3c(Cl)cnc3cn2)c(C(F)(F)F)c1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1']; [0.9951819181442261, 0.9949177503585815, 0.9879653453826904, 0.7959978580474854]
 O=C(Nc1cn2c(Cl)cnc2cn1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cn3c(Cl)cnc3cn2)CC1; [None]; [None]; [0]
 CC(C)(COc1cn2c(Cl)cnc2cn1)S(C)(=O)=O; [None]; [None]; [0]
-COc1ccc(-c2cn3c(Cl)cnc3cn2)cc1Cl; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cnn4ccccc34)cn12; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2cn3c(Cl)cnc3cn2)cc1C(F)(F)F; [None]; [None]; [0]
-CCCn1cc(-c2cn3c(Cl)cnc3cn2)cn1; [None]; [None]; [0]
-O=c1cc(-c2cn3c(Cl)cnc3cn2)cc[nH]1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cn4c(Cl)cnc4cn3)c21; [None]; [None]; [0]
-COc1cc(CCc2cn3c(Cl)cnc3cn2)cc(OC)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cn4c(Cl)cnc4cn3)cc2s1; [None]; [None]; [0]
+COc1ccc(-c2cn3c(Cl)cnc3cn2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9990544319152832, 0.9978550672531128, 0.9921337366104126]
+CCC(=O)Nc1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3cnn4ccccc34)cn12; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Brc1cnn2ccccc12']; ['Ic1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'Clc1cnc2cnccn12']; [0.9931579828262329, 0.8989502787590027, 0.8734379410743713]
+CCCn1cc(-c2cn3c(Cl)cnc3cn2)cn1; ['CCCn1cc(Br)cn1']; ['Clc1cnc2cnccn12']; [0.9345029592514038]
+O=c1cc(-c2cn3c(Cl)cnc3cn2)cc[nH]1; ['Clc1cnc2cnccn12']; ['O=c1cc(I)cc[nH]1']; [0.8997504115104675]
+CCNS(=O)(=O)c1ccccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+NC(=O)CCCc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 C[C@@H](Oc1cn2c(Cl)cnc2cn1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cn4c(Cl)cnc4cn3)cc12; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cn4c(Cl)cnc4cn3)c21; [None]; [None]; [0]
 CCN(CC)c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-O=c1[nH]cc(Br)c2sc(-c3cn4c(Cl)cnc4cn3)cc12; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2cn3c(Cl)cnc3cn2)cc1C(F)(F)F; [None]; [None]; [0]
 COc1ccncc1Nc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cn3c(Cl)cnc3cn2)c1; ['CC(C)Oc1cncc(Br)c1']; ['Clc1cnc2cnccn12']; [0.9875104427337646]
 Clc1cnc2cnc(Nc3cnccc3-c3ccccc3)cn12; [None]; [None]; [0]
+COc1cccc(F)c1-c1cn2c(Cl)cnc2cn1; ['COc1cccc(F)c1I', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Cl']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9994179010391235, 0.9941258430480957, 0.9905980825424194, 0.9240922927856445]
 Clc1cnc2cnc(Nc3cnc4ccccc4c3)cn12; [None]; [None]; [0]
-Clc1cnc2cnc(-c3c[nH]c4cnccc34)cn12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+COc1cc(CCc2cn3c(Cl)cnc3cn2)cc(OC)c1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cn4c(Cl)cnc4cn3)cc12; [None]; [None]; [0]
 Clc1cnc2cnc(-c3cnc4[nH]ccc4c3)cn12; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['CS(=O)(=O)c1ccc(I)cc1']; ['Clc1cnc2cnccn12']; [0.98134446144104]
+O=c1[nH]cc(Br)c2sc(-c3cn4c(Cl)cnc4cn3)cc12; [None]; [None]; [0]
+Clc1cnc2cnc(-c3c[nH]c4cnccc34)cn12; [None]; [None]; [0]
 CC1(c2cn3c(Cl)cnc3cn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cn2c(Cl)cnc2cn1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cn3c(Cl)cnc3cn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1cn2c(Cl)cnc2cn1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 OCc1ccn(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
 OCCc1cn(-c2cn3c(Cl)cnc3cn2)cn1; [None]; [None]; [0]
-C[C@H](Nc1cn2c(Cl)cnc2cn1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cn2c(Cl)cnc2cn1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cn2c(Cl)cnc2cn1; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Br', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Cl']; [0.9998189210891724, 0.9976558685302734, 0.997272253036499, 0.9829511642456055]
+Cc1cc(-c2cn3c(Cl)cnc3cn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 Clc1cnc2cnc(-n3ncc4ccccc43)cn12; [None]; [None]; [0]
+C[C@H](Nc1cn2c(Cl)cnc2cn1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 Oc1cccc2c1cnn2-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Oc1ncccc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 Clc1cnc2cnc(-c3ccc(-n4cncn4)cc3)cn12; [None]; [None]; [0]
-CSc1nc(C)c(-c2cn3c(Cl)cnc3cn2)[nH]1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cn4c(Cl)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2cn3c(Cl)cnc3cn2)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
+C[C@@H](Nc1cn2c(Cl)cnc2cn1)C(C)(C)O; [None]; [None]; [0]
+COc1ccc(-c2cn3c(Cl)cnc3cn2)c(OC)c1; ['COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9159376621246338, 0.8641408681869507, 0.8385593891143799]
+C[C@H](Nc1cn2c(Cl)cnc2cn1)C(C)(C)O; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cn3c(Cl)cnc3cn2)cc1; ['Clc1cnc2cnccn12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9854071140289307]
 Clc1cnc2cnc(-c3nncn3C3CC3)cn12; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cn3c(Cl)cnc3cn2)[nH]1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cn4c(Cl)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
 Clc1cnc2cnc(Cc3nnc4ccc(-c5ccccc5)nn34)cn12; [None]; [None]; [0]
 O=C(CCc1cn2c(Cl)cnc2cn1)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1cn2c(Cl)cnc2cn1)NCc1ccccn1; [None]; [None]; [0]
+Nc1nnc(-c2cn3c(Cl)cnc3cn2)s1; [None]; [None]; [0]
 Clc1cnc2cnc(-c3cn(Cc4ccccc4)nn3)cn12; [None]; [None]; [0]
 CCc1cc(-c2cn3c(Cl)cnc3cn2)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2cn3c(Cl)cnc3cn2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cn3c(Cl)cnc3cn2)s1; [None]; [None]; [0]
-Nc1nnc(-c2cn3c(Cl)cnc3cn2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2cn3c(Cl)cnc3cn2)c(F)c1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cn3c(Cl)cnc3cn2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-Clc1cnc2cnc(-c3nc4ccccc4s3)cn12; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cn4c(Cl)cnc4cn3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cn4c(Cl)cnc4cn3)c2)cc1; [None]; [None]; [0]
 Clc1cnc2cnc(-c3cccc4ccsc34)cn12; [None]; [None]; [0]
-Clc1cnc2cnc(-c3cccc4nnsc34)cn12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cn3c(Cl)cnc3cn2)[nH]1; [None]; [None]; [0]
-Nc1nc(-c2cn3c(Cl)cnc3cn2)nc2ccccc12; [None]; [None]; [0]
+Clc1cnc2cnc(-c3cccc4nnsc34)cn12; ['Brc1cccc2nnsc12']; ['Clc1cnc2cnccn12']; [0.7597771883010864]
+[NH3+]Cc1ccc(Oc2cn3c(Cl)cnc3cn2)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cn3c(Cl)cnc3cn2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cn4c(Cl)cnc4cn3)c2)cc1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cn4c(Cl)cnc4cn3)nc2NC1=O; [None]; [None]; [0]
+Clc1cnc2cnc(-c3nc4ccccc4s3)cn12; [None]; [None]; [0]
 Clc1cnc2cnc(-c3c[nH]c4cccnc34)cn12; [None]; [None]; [0]
-Clc1cnc2cnc(-c3ncc4cc[nH]c4n3)cn12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cn2c(Cl)cnc2cn1; [None]; [None]; [0]
 COc1ccc(Oc2cn3c(Cl)cnc3cn2)c(F)c1F; [None]; [None]; [0]
+Nc1cncc(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cn2c(Cl)cnc2cn1; ['COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9852461218833923, 0.9733878970146179, 0.7779959440231323]
+CC(=O)Nc1ncc(-c2cn3c(Cl)cnc3cn2)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cn3c(Cl)cnc3cn2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1']; ['Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; [0.9990736842155457, 0.9968463182449341, 0.9665625691413879, 0.9268221259117126]
+Nc1nc(-c2cn3c(Cl)cnc3cn2)nc2ccccc12; [None]; [None]; [0]
+Clc1cnc2cnc(N3CCC(c4nc5ccccc5[nH]4)CC3)cn12; [None]; [None]; [0]
+OCCn1cnc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+CCOc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999998211860657, 0.9999940395355225]
 C[C@@]1(O)CC[C@H](c2cn3c(Cl)cnc3cn2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cn3c(Cl)cnc3cn2)n1; [None]; [None]; [0]
+Clc1cnc2cnc(-c3ncc4cc[nH]c4n3)cn12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cn3c(Cl)cnc3cn2)c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999992847442627, 0.9999898672103882, 0.9999622106552124, 0.9848450422286987]
+O=C(Nc1cccc(-c2cn3c(Cl)cnc3cn2)c1)C1CCNCC1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ncc4ccccc4n3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['Clc1ncc2ccccc2n1']; [0.9999986886978149]
 CN(C)c1cc(-c2cn3c(Cl)cnc3cn2)cnn1; [None]; [None]; [0]
-Clc1cnc2cnc(N3CCC(c4nc5ccccc5[nH]4)CC3)cn12; [None]; [None]; [0]
 Clc1cnc2cnc(N3CC=C(c4c[nH]c5ccccc45)CC3)cn12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cn3c(Cl)cnc3cn2)c1)C1CCNCC1; [None]; [None]; [0]
-CNc1nccc(-n2ncc3cccc(F)c3c2=O)n1; [None]; [None]; [0]
-CNc1nccc(-c2sc(=O)n(C)c2C)n1; [None]; [None]; [0]
-CNc1nccc(-c2cnn3ncccc23)n1; [None]; [None]; [0]
-CNc1nccc(Cc2ncc(C(C)(C)C)o2)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3c(c2)CS(=O)(=O)N3C)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(C(=O)[O-])c(OC)c2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cn(C(C)C)nn2)n1; [None]; [None]; [0]
-CNc1nccc(CCc2c[nH]nn2)n1; [None]; [None]; [0]
-CNc1nccc(CCNC(=O)CC(C)(C)O)n1; [None]; [None]; [0]
-CNc1nccc(NC(=O)c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
-CNc1nccc(OCC(C)(C)S(C)(=O)=O)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)n1; [None]; [None]; [0]
-CNc1nccc(O[C@H](C)c2c(Cl)cncc2Cl)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc3c(=O)[nH]cc(Br)c3s2)n1; [None]; [None]; [0]
-CNc1nccc(Nc2cnccc2-c2ccccc2)n1; [None]; [None]; [0]
-CNc1nccc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)n1; [None]; [None]; [0]
-CNc1nccc(N[C@@H](C)C(=O)NCC(F)(F)F)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccn(CC[NH3+])n2)n1; [None]; [None]; [0]
-CNc1nccc(Cc2nnc3ccc(-c4ccccc4)nn23)n1; [None]; [None]; [0]
-CNc1nccc(CS(=O)(=O)NCc2ccccn2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cc(C(N)=O)cn2C)n1; [None]; [None]; [0]
-CNc1nccc(Oc2ccc(C[NH3+])cc2F)n1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccnc(NC)n3)c2)cc1; [None]; [None]; [0]
-CNc1nccc(-c2cccc3nnsc23)n1; [None]; [None]; [0]
-CNc1nccc(Oc2ccc(OC)c(F)c2F)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(C(C)(C)O)n2)n1; [None]; [None]; [0]
-CNc1nccc(-c2cccc(NC(=O)C3CCNCC3)c2)n1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2ccc3c(N)n[nH]c3c2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CS(=O)(=O)c1cccc(Br)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9999997615814209, 0.9999997615814209, 0.9999940395355225, 0.9999504089355469]
+COc1cc(-c2ccc3c(N)n[nH]c3c2)cc(OC)c1OC; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['COc1cc(Br)cc(OC)c1OC', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999998927116394, 0.999991774559021, 0.9999054074287415]
+COc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None, None]; [None, None]; [0, 0]
+COc1ncccc1-c1ccc2c(N)n[nH]c2c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['COc1ncccc1Br', 'Nc1n[nH]c2cc(Br)ccc12', 'COc1ncccc1I', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999980926513672, 0.9999948740005493, 0.9999609589576721, 0.9997574090957642, 0.9844273924827576, 0.961260974407196]
+Nc1n[nH]c2cc(-c3cnc4cccnn34)ccc12; ['Brc1cnc2cccnn12']; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; [1.0]
+Nc1n[nH]c2cc(-c3ccc(N4CCOCC4)cc3)ccc12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; [1.0, 0.9999998211860657]
+Nc1n[nH]c2cc(-c3cccc(O)c3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; ['Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9999978542327881, 0.9999966621398926, 0.9999865293502808, 0.9999781847000122, 0.9996775388717651, 0.9750223159790039]
 Cc1nc(C(C)(C)O)sc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2ccc3c(N)n[nH]c3c2)c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Br)c1']; ['N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999512434005737, 0.9999024271965027, 0.9992480278015137, 0.8826415538787842, 0.8629716634750366]
+Nc1n[nH]c2cc(-c3ccc(C(=O)[O-])cc3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3nc4ccccc4[nH]3)ccc12; ['Nc1ccccc1N']; ['Nc1n[nH]c2cc(C(=O)O)ccc12']; [0.9913748502731323]
+Nc1n[nH]c2cc(-c3cccc(NC(=O)C4CC4)c3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['O=C(Nc1cccc(Br)c1)C1CC1', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.9999992847442627, 0.9953502416610718]
+Nc1n[nH]c2cc(-c3nccc4ccccc34)ccc12; ['Brc1nccc2ccccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Clc1nccc2ccccc12', 'OB(O)c1nccc2ccccc12']; [0.9999972581863403, 0.99998939037323, 0.9997429847717285]
+N#Cc1cccc(Cn2cc(-c3ccc4c(N)n[nH]c4c3)cn2)c1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ccc4c(N)n[nH]c4c3)c2c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(C(=O)Nc4ccccc4)cc3)ccc12; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Cl)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'Nc1n[nH]c2cc(Cl)ccc12', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [1.0, 0.9999992847442627, 0.9999969005584717, 0.9999847412109375, 0.9999449849128723, 0.9996640682220459]
+CC(=O)NCc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999995827674866, 0.9999868869781494, 0.9999711513519287, 0.9982794523239136, 0.9715399742126465]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc4c(N)n[nH]c4c3)cc2)CC1; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc4c(c3)CS(=O)(=O)C4)ccc12; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'NC(=O)c1ccc(Br)cc1', 'Nc1n[nH]c2cc(Br)ccc12', 'NC(=O)c1ccc(I)cc1', 'Nc1n[nH]c2cc(Cl)ccc12', 'NC(=O)c1ccc(Cl)cc1', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999994039535522, 0.9999921321868896, 0.9999905824661255, 0.9999818205833435, 0.9999258518218994, 0.9998247623443604, 0.9996159076690674, 0.9970675706863403, 0.970818281173706]
+Nc1n[nH]c2cc(-c3cccc(C4CCNCC4)c3)ccc12; ['Brc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; [1.0]
+Nc1n[nH]c2cc(-c3ccc(OCCO)cc3)ccc12; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(I)cc1', 'Nc1n[nH]c2cc(Cl)ccc12', 'OCCOc1ccc(Cl)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(Cl)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(Br)cc1']; [0.9999998211860657, 0.9999959468841553, 0.9999909996986389, 0.9999817609786987, 0.9999784827232361, 0.9998807907104492, 0.9993476867675781, 0.9989510178565979, 0.9957277774810791, 0.9953649044036865, 0.9640935659408569]
+Nc1n[nH]c2cc(-c3ccc(C(=O)N4CCOCC4)cc3)ccc12; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'Nc1n[nH]c2cc(Cl)ccc12', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 1.0, 1.0, 0.9999997019767761, 0.9999984502792358, 0.9999938011169434, 0.9999852180480957, 0.9998588562011719]
+CNS(=O)(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['Nc1n[nH]c2cc(Br)ccc12', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.9999984502792358, 0.9999538660049438]
+Nc1n[nH]c2cc(-c3ccc(C(=O)N4CCOCC4)cn3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1']; [1.0]
+Nc1n[nH]c2cc(-c3ccc4c(c3)CS(=O)(=O)C4)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999964237213135]
+CN(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CN(C)c1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1', 'Nc1n[nH]c2cc(Br)ccc12']; [1.0, 0.9999994039535522, 0.9999987483024597, 0.9999985098838806]
+Nc1n[nH]c2cc(Nc3ncccn3)ccc12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9999996423721313, 0.9999960660934448, 0.9999910593032837, 0.9999880790710449, 0.9997855424880981]
+C[C@@H](O)COc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccc3c(N)n[nH]c3c2)s1; ['Cc1csc(C)n1']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.9766291379928589]
+CCNS(=O)(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['CCNS(=O)(=O)c1ccc(Br)cc1', 'Nc1n[nH]c2cc(Br)ccc12', 'CCNS(=O)(=O)c1ccc(Cl)cc1', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999833106994629, 0.9999777674674988, 0.9997421503067017, 0.999480664730072, 0.9733426570892334]
+C[C@H](O)COc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
+Nc1n[nH]c2cc(Cc3ccccc3O)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(C(F)(F)F)cc3)ccc12; [None]; [None]; [0]
+Nc1ncc(Cc2ccc3c(N)n[nH]c3c2)cn1; [None]; [None]; [0]
+Nc1n[nH]c2cc([C@H]3CCN(C(=O)c4ccccc4)C3)ccc12; [None]; [None]; [0]
 CC(C)c1cc(-c2ccc3c(N)n[nH]c3c2)nc(N)n1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2ccc3c(N)n[nH]c3c2)CC1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1Cl; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl']; ['CN(C)c1ccc(Br)cc1Cl', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999996423721313, 0.9999995827674866]
 CC(=O)N1CCCN(c2cccc(-c3ccc4c(N)n[nH]c4c3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2ccc3c(N)n[nH]c3c2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)c(C)c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999938607215881, 0.9999525547027588, 0.997468113899231, 0.995975911617279]
+COc1ccc(Cl)cc1-c1ccc2c(N)n[nH]c2c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O']; ['COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999959468841553, 0.9999956488609314, 0.9999709129333496, 0.9999342560768127]
+Nc1n[nH]c2cc(-c3ccccc3-n3cccn3)ccc12; ['Brc1ccccc1-n1cccn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1']; [0.9999997019767761, 0.9999988079071045, 0.9999916553497314, 0.9899938702583313]
+CCN(CC)C(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
+COc1ccc(Cc2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccn4nccc4n3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(Br)cc3)ccc12; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3ccc4c(N)n[nH]c4c3)[nH]c2c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2ccc3c(N)n[nH]c3c2)cc1Cl; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cccc4c3OCO4)ccc12; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'Nc1n[nH]c2cc(Br)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'OB(O)c1cccc2c1OCO2']; [0.999999463558197, 0.9999994039535522, 0.9999666810035706]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+COc1cc(-c2ccc3c(N)n[nH]c3c2)ccc1O; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['COc1cc(Br)ccc1O', 'Nc1n[nH]c2cc(Br)ccc12', 'COc1cc(I)ccc1O', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9999991655349731, 0.9999973177909851, 0.9999939203262329, 0.9995609521865845, 0.9893440008163452]
+CC(=O)Nc1cccc(-c2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3c[nH]c4ccccc34)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3scc4c3OCCO4)ccc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; [1.0, 0.9999995231628418]
+Nc1n[nH]c2cc(-c3cnc4ccccc4c3)ccc12; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1cnc2ccccc2c1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'Brc1cnc2ccccc2c1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Clc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Nc1n[nH]c2cc(Cl)ccc12', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999997615814209, 0.9999997615814209, 0.9999969005584717, 0.9999935030937195, 0.9999860525131226, 0.9999500513076782, 0.9992576837539673, 0.9989190697669983]
+CN(C)C(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CN(C)C(=O)c1ccc(Br)cc1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9999998807907104, 0.9999984502792358, 0.9999980926513672, 0.99991774559021]
+CC(C)(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [1.0, 1.0, 0.9999920129776001, 0.9989117980003357]
+Nc1n[nH]c2cc(Cc3nc4c(F)c(F)ccc4[nH]3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc4c(c3)CCO4)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cc(-c4ccccc4)[nH]n3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(Cc3nc4ccc(F)c(F)c4[nH]3)ccc12; [None]; [None]; [0]
+CSc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', None, None, 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CSc1ccc(B(O)O)cc1']; ['Nc1n[nH]c2cc(Br)ccc12', None, None, 'CSc1ccc(Br)cc1', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999984502792358, 0, 0, 0.9999800324440002, 0.9999635815620422]
+Cc1ccc(-c2ccc3c(N)n[nH]c3c2)c(=O)[nH]1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['Cc1ccc(I)c(=O)[nH]1']; [0.9999598264694214]
+Nc1n[nH]c2cc(-c3ccn(-c4cccc(Cl)c4)n3)ccc12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3c(N)n[nH]c3c2)CC1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cc4ccccc4s3)ccc12; ['Brc1cc2ccccc2s1']; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; [0.9999988079071045]
+COc1cccc(C(=O)Nc2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(Cc3nc4ccccc4[nH]3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(F)cc3Cl)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1ccc(F)cc1Cl']; [0.9998942613601685]
+CCN1CCN(Cc2ccc(-c3ccc4c(N)n[nH]c4c3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.999993085861206, 0.9999879598617554, 0.9997086524963379]
+Nc1n[nH]c2cc(CCCc3ccccc3)ccc12; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(N)n[nH]c3c2)nc(N)n1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['Cc1cc(Br)nc(N)n1', 'Cc1cc(Cl)nc(N)n1']; [1.0, 0.999998927116394]
+Nc1nc(-c2ccc3c(N)n[nH]c3c2)cs1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ncc(Br)cn3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc4c(c3)CCC(=O)N4)ccc12; [None]; [None]; [0]
+CC[C@@H](CO)c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+Nc1n[nH]c2cc([C@H](CO)Cc3ccccc3)ccc12; [None]; [None]; [0]
+COc1cc(-c2ccc3c(N)n[nH]c3c2)ccc1N1CCOCC1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['COc1cc(Br)ccc1N1CCOCC1']; [1.0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3ccc4c(N)n[nH]c4c3)ccc2O1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(Cl)cc3Cl)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(CCCn3cncn3)ccc12; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(N)n[nH]c3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ncc4cccn4n3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cc4ccccn4n3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cccc4ccc(O)cc34)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ncc(Cl)cn3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['Clc1cnc(Cl)nc1']; [0.9999387264251709]
+COc1ccc2cccc(-c3ccc4c(N)n[nH]c4c3)c2c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cnn(CCO)c3)ccc12; [None]; [None]; [0]
+COc1cc(-c2ccc3c(N)n[nH]c3c2)ccc1Cl; [None]; [None]; [0]
+Cc1csc2c(-c3ccc4c(N)n[nH]c4c3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
+COc1cc(F)c(-c2ccc3c(N)n[nH]c3c2)cc1OC; [None]; [None]; [0]
 Nc1cc(-c2ccc3c(N)n[nH]c3c2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)nc1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc3c(N)n[nH]c3c2)c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['COc1cc(Br)cc(OC)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12', 'COc1cc(I)cc(OC)c1']; [0.9999983310699463, 0.9999977946281433, 0.999994158744812, 0.9999886751174927]
+COc1cc(-c2ccc3c(N)n[nH]c3c2)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2ccc3c(N)n[nH]c3c2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ccc3c(N)n[nH]c3c2)CC1; [None]; [None]; [0]
 Nc1n[nH]c2cc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)ccc12; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1ccc3c(N)n[nH]c3c1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3ccc4c(N)n[nH]c4c3)cc2c1; [None]; [None]; [0]
+CCn1cc(-c2ccc3c(N)n[nH]c3c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CCn1cc(Br)cn1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9999997615814209, 0.9999994039535522, 0.9999899864196777, 0.9999885559082031]
+Nc1n[nH]c2cc(-c3ccc4cn[nH]c4c3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cc4ccccc4o3)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1cc2ccccc2o1']; [0.9999916553497314]
+Cn1cc(Br)cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
+COc1ccc2nc(-c3ccc4c(N)n[nH]c4c3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Nc1n[nH]c2cc(C(=O)O)ccc12']; [0.9998416900634766]
+CNC(=O)c1ccc(OC)c(-c2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ncc4sccc4n3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['Clc1ncc2sccc2n1']; [1.0]
+CC(C)c1nn(C)cc1-c1ccc2c(N)n[nH]c2c1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1Br']; ['Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; [0.9999985694885254, 0.9999985098838806]
+Nc1n[nH]c2cc(-c3cc(-c4cccnc4)ccn3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(OC(F)(F)F)cc3)ccc12; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [1.0, 0.9999997019767761, 0.9999992847442627, 0.9999988079071045, 0.9999327659606934]
+Cn1cc(-c2ccc3c(N)n[nH]c3c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.9999933838844299]
 COc1ccc(F)c(C(=O)Nc2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3ccc4c(N)n[nH]c4c3)[nH]c2c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4c(N)n[nH]c4c3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21']; ['Nc1n[nH]c2cc(Br)ccc12', 'Cn1ncc2cc(Br)ccc21', 'Nc1n[nH]c2cc(Br)ccc12']; [1.0, 1.0, 0.9999998211860657]
 Nc1n[nH]c2cc(-c3ncn4c3CCCC4)ccc12; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3ccc4c(N)n[nH]c4c3)cn2)CC1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cccc(NC(=O)N4CCCC4)c3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ccc4c(N)n[nH]c4c3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Cc1n[nH]c2cc(B(O)O)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999963045120239, 0.9999963045120239, 0.9999621510505676]
+CN(C)c1ccc(-c2ccc3c(N)n[nH]c3c2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [1.0, 1.0, 0.9999998807907104, 0.9999983310699463, 0.9989207983016968]
+CC(=O)N1CCC(n2cc(-c3ccc4c(N)n[nH]c4c3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Nc1n[nH]c2cc(Br)ccc12']; [1.0]
+Cc1cc(-c2ccc3c(N)n[nH]c3c2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3ccc4c(N)n[nH]c4c3)ccc21; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3ccc4c(N)n[nH]c4c3)[nH]c2c1; [None]; [None]; [0]
 Nc1n[nH]c2cc(NC(=O)c3cccc(OC(F)(F)F)c3)ccc12; [None]; [None]; [0]
+CCc1cccc(-c2ccc3c(N)n[nH]c3c2)n1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cccc(N4CCCC4=O)c3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(CCO)cc3)ccc12; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1ccc2c(N)n[nH]c2c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['COc1cc(S(C)(=O)=O)ccc1Br', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999954700469971, 0.9373208284378052]
 Cc1ncc(-c2ccc(-c3ccc4c(N)n[nH]c4c3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)c(Cl)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)c(OC)c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['CNC(=O)c1ccc(Br)c(OC)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999866485595703, 0.9999620318412781, 0.9975309371948242, 0.7997164726257324]
+CCNC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['CCNC(=O)c1ccc(Br)cc1', 'Nc1n[nH]c2cc(Br)ccc12', 'CCNC(=O)c1ccc(I)cc1', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999979734420776, 0.9999908208847046, 0.9999879002571106, 0.9998866319656372, 0.9923478364944458]
+CCNC(=O)Cc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CCNC(=O)Cc1ccc(Br)cc1']; ['CCNC(=O)Cc1ccc(Br)cc1', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999989867210388, 0.9810335636138916]
+Cc1cc(N2CCOCC2)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2ccc3c(N)n[nH]c3c2)c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; [0.9999904632568359]
+CN(C)C(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)nc1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CN(C)C(=O)c1ccc(Br)nc1']; ['CN(C)C(=O)c1ccc(Br)nc1', 'CN(C)C(=O)c1ccc(Cl)nc1', 'Nc1n[nH]c2cc(Br)ccc12']; [1.0, 1.0, 0.9993902444839478]
+COc1cc(N2CCNCC2)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3c(Cl)ccc4c3OCO4)ccc12; ['Nc1n[nH]c2cc(Br)ccc12']; ['OB(O)c1c(Cl)ccc2c1OCO2']; [0.9996417760848999]
+Nc1n[nH]c2cc(-c3cccc4ncccc34)ccc12; ['Brc1cccc2ncccc12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'OB(O)c1cccc2ncccc12']; [0.9999997615814209, 0.9999992847442627, 0.999964714050293]
+Nc1n[nH]c2cc(-c3ccc(Cl)c(O)c3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Nc1n[nH]c2cc(Cl)ccc12']; ['Oc1cc(Br)ccc1Cl', 'Nc1n[nH]c2cc(Br)ccc12', 'Oc1cc(I)ccc1Cl', 'OB(O)c1ccc(Cl)c(O)c1', 'Nc1n[nH]c2cc(Cl)ccc12', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999842643737793, 0.9999831914901733, 0.9999806880950928, 0.9999139904975891, 0.9992094039916992, 0.9879381060600281]
+Nc1n[nH]c2cc(-c3c(Cl)cccc3Cl)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999954700469971, 0.9999924898147583, 0.9997338056564331]
+CNC(=O)c1ccc(C)c(-c2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
 Cn1nc(-c2ccc3c(N)n[nH]c3c2)cc1C(C)(C)O; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(O)cc3Cl)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C']; ['Oc1ccc(Br)c(Cl)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(I)c(Cl)c1', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9998966455459595, 0.9998224973678589, 0.9994446039199829, 0.992108941078186, 0.8831144571304321]
+C[C@H](CS(C)(=O)=O)c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc2c(N)n[nH]c2c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; ['COc1cc(C(N)=O)ccc1Br', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9999927878379822, 0.9999783635139465, 0.9989961385726929]
+NC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)c(F)c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1']; ['NC(=O)c1ccc(Br)c(F)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'NC(=O)c1ccc(Cl)c(F)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9999949932098389, 0.9999932646751404, 0.9999163150787354, 0.9994431734085083, 0.9991399049758911, 0.9877874851226807, 0.9798084497451782]
+COc1ccc(F)cc1-c1ccc2c(N)n[nH]c2c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O']; ['COc1ccc(F)cc1Br', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999996423721313, 0.9999991655349731, 0.9999903440475464]
+Cc1ccc(C(=O)NCCO)cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(O)cc3F)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; ['Oc1ccc(Br)c(F)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'Oc1ccc(I)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Nc1n[nH]c2cc(Cl)ccc12', 'Oc1ccc(I)c(F)c1', 'OB(O)c1ccc(O)cc1F']; [0.999915599822998, 0.9996910095214844, 0.9996064901351929, 0.9984830021858215, 0.9610786437988281, 0.8920454978942871, 0.806147575378418]
+COc1cc(F)ccc1-c1ccc2c(N)n[nH]c2c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COc1cc(F)ccc1B(O)O']; ['COc1cc(F)ccc1Br', 'Nc1n[nH]c2cc(Br)ccc12', 'COc1cc(F)ccc1I', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999955892562866, 0.9999910593032837, 0.999988317489624, 0.9999158382415771]
+Nc1n[nH]c2cc(Oc3ccc(F)cc3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3n[nH]c4ccccc34)ccc12; [None]; [None]; [0]
+Nc1nccc(-c2ccc3c(N)n[nH]c3c2)n1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1']; [1.0, 0.9999998807907104]
+Cc1nc2c(F)cc(-c3ccc4c(N)n[nH]c4c3)cc2[nH]1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(-c4ccc(O)cc4O)cc3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; [0.9999706745147705, 0.9172112941741943]
+COC(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)o1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(Br)o1']; ['COC(=O)c1ccc(Br)o1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.999998152256012, 0.9999960064888, 0.9998394846916199, 0.995067834854126]
+Nc1n[nH]c2cc(-c3ccc(O)c(F)c3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; ['Oc1ccc(Br)cc1F', 'Nc1n[nH]c2cc(Br)ccc12', 'Oc1ccc(I)cc1F', 'Nc1n[nH]c2cc(Cl)ccc12', 'OB(O)c1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F']; [0.9999969005584717, 0.9999940395355225, 0.9999904632568359, 0.9999503493309021, 0.9997799396514893, 0.9966312646865845, 0.9061558842658997]
+Nc1n[nH]c2cc(-c3cccc(Br)c3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cn[nH]c3Cl)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3c[nH]c4cnccc34)ccc12; ['Brc1c[nH]c2cnccc12', 'Nc1n[nH]c2cc(Br)ccc12']; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'OB(O)c1c[nH]c2cnccc12']; [0.9999973773956299, 0.9936580657958984]
+COC(=O)c1ccc(Cl)c(-c2ccc3c(N)n[nH]c3c2)c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'COC(=O)c1ccc(Cl)c(Br)c1']; ['COC(=O)c1ccc(Cl)c(Br)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'COC(=O)c1ccc(Cl)c(I)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999959468841553, 0.9999842643737793, 0.9999629259109497, 0.9993097186088562, 0.9984714984893799, 0.9984710216522217, 0.996830940246582, 0.8472477197647095]
 Nc1n[nH]c2cc(-c3cnn4ncccc34)ccc12; [None]; [None]; [0]
-Nc1n[nH]c2cc(-c3ccc(-c4ccc(O)cc4O)cc3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(O)cc3O)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['Oc1ccc(Br)c(O)c1']; [0.9998295307159424]
+COc1cc(CCc2ccc3c(N)n[nH]c3c2)ccc1O; [None]; [None]; [0]
+Nc1cc(-c2ccc3c(N)n[nH]c3c2)ccn1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1cc(Br)ccn1', 'Nc1cc(I)ccn1', 'Nc1cc(Cl)ccn1', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9999997615814209, 0.9999997615814209, 0.9999995231628418, 0.9999970197677612, 0.9999911189079285, 0.9999530911445618, 0.9980684518814087]
+Cc1ccc2[nH]ncc2c1-c1ccc2c(N)n[nH]c2c1; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['Cc1ccc2[nH]ncc2c1I']; [0.9999977350234985]
+Nc1n[nH]c2cc(-c3cc(O)ccc3Cl)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(Br)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'OB(O)c1cc(O)ccc1Cl']; [0.999812662601471, 0.9997717142105103, 0.9988892078399658, 0.9975506067276001]
+Nc1n[nH]c2cc(-c3ccc4ccccc4c3)ccc12; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(COc3ccccc3Cl)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cnc(O)c(Cl)c3)ccc12; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccc3c(N)n[nH]c3c2)c[nH]1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(F)c(Cl)c3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3[nH]cnc3-c3ccc(F)cc3)ccc12; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc4c(N)n[nH]c4c3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4c(N)n[nH]c4c3)cc2[nH]1; [None]; [None]; [0]
+COc1cc(CCc2ccc3c(N)n[nH]c3c2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cnc4[nH]ccc4c3)ccc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3c(N)n[nH]c3c2)cc1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3nc4ccccc4s3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cncc(O)c3)ccc12; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3c(N)n[nH]c3c2)c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc4c(c3)CC(=O)N4)ccc12; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3c(N)n[nH]c3c2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccc4c(N)n[nH]c4c3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc3c(N)n[nH]c3c2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cc(C(F)F)n[nH]3)ccc12; [None]; [None]; [0]
+CCc1sccc1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+CNc1nc(-c2ccc3c(N)n[nH]c3c2)ncc1F; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['CNc1nc(Cl)ncc1F']; [1.0]
+Nc1n[nH]c2cc(-c3ccc4c(c3)CCN4)ccc12; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Brc1ccc2c(c1)CCN2', 'Nc1n[nH]c2cc(Br)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2c(c1)CCN2']; [1.0, 0.9999997019767761, 0.9999653100967407]
 Nc1n[nH]c2cc(-c3cc(O)n4nccc4n3)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cc(Cl)c(O)c(Cl)c3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; ['Oc1c(Cl)cc(Br)cc1Cl', 'Nc1n[nH]c2cc(Br)ccc12', 'Oc1c(Cl)cc(I)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(Br)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9999970197677612, 0.9999870657920837, 0.9999626278877258, 0.9998750686645508, 0.9909725189208984, 0.8615171909332275]
+Nc1n[nH]c2cc(-c3ccc(Br)cc3F)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['Fc1cc(Br)ccc1I', 'OB(O)c1ccc(Br)cc1F']; [0.999956488609314, 0.9678033590316772]
+Nc1n[nH]c2cc(-c3ccc4[nH]c(=O)[nH]c4c3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; ['O=c1[nH]c2ccc(I)cc2[nH]1', 'Nc1n[nH]c2cc(Br)ccc12', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1']; [0.999994158744812, 0.9999939203262329, 0.9999939203262329, 0.9999439716339111, 0.9982432126998901]
+Nc1n[nH]c2cc(Nc3ccncc3)ccc12; ['Nc1ccncc1', 'Nc1ccncc1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9999483823776245, 0.9886360168457031]
+Cn1ncc(N)c1-c1ccc2c(N)n[nH]c2c1; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3[nH]nc4ccc(F)cc34)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3cc(O)cc(Br)c3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12']; ['Oc1cc(Br)cc(I)c1', 'Oc1cc(Br)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'Nc1n[nH]c2cc(Br)ccc12', 'Oc1cc(Br)cc(Br)c1']; [0.9999945163726807, 0.9999843835830688, 0.9998732209205627, 0.9992096424102783, 0.9990387558937073, 0.9865175485610962]
+Nc1n[nH]c2cc(-c3ccncc3Cl)ccc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc(C(=O)NC4CC4)cc3)ccc12; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; ['Nc1n[nH]c2cc(Br)ccc12', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [1.0, 0.9999991655349731, 0.9999991059303284, 0.9999986886978149, 0.9998955726623535, 0.9983673095703125]
 Cc1oc(-c2ccc3c(N)n[nH]c3c2)cc1C(=O)[O-]; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4c(N)n[nH]c4c3)cc2o1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; ['Nc1n[nH]c2cc(Br)ccc12', 'Cc1nc2ccc(Br)cc2o1', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999998807907104, 0.9999997019767761, 0.9999983310699463, 0.9999980926513672, 0.9999526739120483, 0.9989633560180664]
+CSc1cccc(-c2ccc3c(N)n[nH]c3c2)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CSc1cccc(B(O)O)c1']; ['Nc1n[nH]c2cc(Br)ccc12', 'CSc1cccc(Br)c1', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999990463256836, 0.9999974966049194, 0.9998272657394409]
+Nc1n[nH]c2cc(-c3cc(F)c(O)c(F)c3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Nc1n[nH]c2cc(Br)ccc12', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Nc1n[nH]c2cc(Cl)ccc12']; ['Oc1c(F)cc(Br)cc1F', 'Nc1n[nH]c2cc(Br)ccc12', 'Oc1c(F)cc(I)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'Nc1n[nH]c2cc(Cl)ccc12', 'OB(O)c1cc(F)c(O)c(F)c1']; [0.9999982118606567, 0.9999942183494568, 0.9999924302101135, 0.9999771118164062, 0.9998835325241089, 0.999232292175293]
+Cc1cc(-c2ccc3c(N)n[nH]c3c2)cc(C)c1O; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(I)cc(C)c1O']; ['Cc1cc(Br)cc(C)c1O', 'Nc1n[nH]c2cc(Br)ccc12', 'Cc1cc(I)cc(C)c1O', 'Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12', 'Nc1n[nH]c2cc(Br)ccc12']; [0.9999728798866272, 0.9999480247497559, 0.9998152852058411, 0.998931884765625, 0.9671480655670166, 0.930463433265686]
+Nc1n[nH]c2cc(CCc3c[nH]c4ccccc34)ccc12; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1ccc2c(N)n[nH]c2c1; ['Cc1onc(-c2ccccc2)c1B(O)O']; ['Nc1n[nH]c2cc(Br)ccc12']; [0.9999638795852661]
 CN(c1ccc2c(N)n[nH]c2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Nc1n[nH]c2cc(OCc3cccc4ccccc34)ccc12; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(N)n[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
+Nc1n[nH]c2cc(-c3ccc4c(=O)[nH][nH]c4c3)ccc12; ['CC1(C)OB(c2ccc3c(N)n[nH]c3c2)OC1(C)C']; ['O=c1[nH][nH]c2cc(Br)ccc12']; [0.9999984502792358]
 Nc1n[nH]c2cc(-c3ocnc3-c3ccc(F)cc3)ccc12; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
-Cc1cn2c(-c3ncc4ccccc4n3)cnc2cn1; [None]; [None]; [0]
+Nc1n[nH]c2cc(NCc3c(F)cccc3Cl)ccc12; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; ['Nc1n[nH]c2cc(Br)ccc12', 'Nc1n[nH]c2cc(F)ccc12', 'Nc1n[nH]c2cc(Cl)ccc12']; [0.9999796152114868, 0.9928997755050659, 0.9863165616989136]
+Nc1n[nH]c2cc(Oc3ccc(F)cc3F)ccc12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cnc3cnc(C)cn23)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9999967813491821]
+CCOc1ccc(-c2cnc3cnc(C)cn23)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Cl)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999997615814209, 0.9999794960021973, 0.999954879283905, 0.9998593926429749, 0.9998272061347961, 0.9995220303535461, 0.9990426301956177]
+Cc1cn2c(-c3cccc(S(C)(=O)=O)c3)cnc2cn1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999996423721313, 0.9999711513519287, 0.9999312162399292]
+Nc1n[nH]c2cc(-c3cn[nH]c3-c3ccc(Cl)cc3)ccc12; [None]; [None]; [0]
+COc1ncccc1-c1cnc2cnc(C)cn12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'COc1ncccc1Cl']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999857544898987, 0.998162567615509, 0.9303877353668213, 0.9116674065589905, 0.9067400693893433, 0.8600720167160034]
+Nc1n[nH]c2cc(OCc3ccc(F)cc3F)ccc12; [None]; [None]; [0]
+COc1cc(-c2cnc3cnc(C)cn23)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999638199806213, 0.9999579191207886, 0.9998637437820435, 0.9998000860214233, 0.9991703033447266]
+Cc1ccc2ncn(-c3cnc4cnc(C)cn34)c2c1; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [0.9401754140853882, 0.939850926399231]
+Cc1cn2c(-c3cnc4cccnn34)cnc2cn1; ['Brc1cnc2cccnn12']; ['Cc1cn2c(Br)cnc2cn1']; [0.9994614720344543]
 Cc1cn2c(-c3sc(C(C)(C)O)nc3C)cnc2cn1; [None]; [None]; [0]
-COc1ncccc1-c1cnc2cnc(C)cn12; [None]; [None]; [0]
-Cc1cn2c(-c3cccc(S(C)(=O)=O)c3)cnc2cn1; [None]; [None]; [0]
-COc1cc(-c2cnc3cnc(C)cn23)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnc4cnc(C)cn34)c2c1; [None]; [None]; [0]
-Cc1cn2c(-c3cnc4cccnn34)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cccc(O)c3)cnc2cn1; [None]; [None]; [0]
-COc1ccc(-c2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(N4CCOCC4)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cccc(NC(=O)C4CC4)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3nc4ccccc4[nH]3)cnc2cn1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4cnc(C)cn34)cc2)CC1; [None]; [None]; [0]
-Cc1cn2c(-n3ncc4ccccc4c3=O)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Nc3cc(C)ns3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(NS(C)(=O)=O)nc3)cnc2cn1; [None]; [None]; [0]
+Nc1n[nH]c2cc(CCc3ccc(F)cc3F)ccc12; [None]; [None]; [0]
+COc1ccc(-c2cnc3cnc(C)cn23)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(OS(C)(=O)=O)cc1', 'COc1ccccc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999989867210388, 0.9999656081199646, 0.9999557733535767, 0.9997168779373169, 0.9997115135192871, 0.9985926151275635, 0.9968761801719666, 0.8200119137763977]
+Cc1cn2c(-c3cccc(O)c3)cnc2cn1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1']; [0.9999839663505554, 0.9998589754104614, 0.998694658279419, 0.9981145858764648]
+Cc1cn2c(-c3ncc4ccccc4n3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(N4CCOCC4)cc3)cnc2cn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Clc1ccc(N2CCOCC2)cc1']; [1.0, 0.9999983906745911, 0.9999883770942688, 0.9999554753303528, 0.9999340772628784, 0.9995209574699402]
+Cc1cn2c(-c3cc(C#N)ccc3O)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1']; [0.9985778331756592, 0.9844589233398438, 0.9812721014022827, 0.9671370983123779]
+Cc1cn2c(-c3cccc(NC(=O)C4CC4)c3)cnc2cn1; ['Cc1cn2ccnc2cn1']; ['O=C(Nc1cccc(Br)c1)C1CC1']; [0.9999595880508423]
+Cc1cn2c(Nc3cc(C)ns3)cnc2cn1; ['Cc1cc(N)sn1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9999697208404541]
+Cc1cn2c(-c3ccc(C(N)=O)cc3)cnc2cn1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.9999996423721313, 0.9999493360519409]
 Cc1cn2c(-c3ccc(C(=O)[O-])cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(N)=O)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Nc3ncccn3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(=O)Nc4ccccc4)cc3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(Nc3ncccn3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['Nc1ncccn1']; [0.9922919273376465]
+CC(=O)NCc1ccc(-c2cnc3cnc(C)cn23)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; [0.999998152256012, 0.9999405145645142, 0.991517186164856]
 Cc1cn2c(-c3cnn(Cc4cccc(C#N)c4)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Cc3nccc4ccccc34)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(OCCO)cc3)cnc2cn1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
+Cc1cn2c(-c3nccc4ccccc34)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Brc1nccc2ccccc12']; ['Clc1nccc2ccccc12', 'Cc1cn2c(Br)cnc2cn1']; [0.9998929500579834, 0.9925746321678162]
+Cc1cn2c(-c3ccc(C(=O)Nc4ccccc4)cc3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3nc4ccccc4[nH]3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(C(=O)N4CCOCC4)cc3)cnc2cn1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [1.0, 0.999994158744812]
 Cc1cn2c(-c3cccc(C4CCNCC4)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(=O)N4CCOCC4)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(=O)N4CCOCC4)cn3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Nc3ccncn3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(Nc3ccncn3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['Nc1ccncn1']; [0.9811347126960754]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4cnc(C)cn34)cc2)CC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc3cnc(C)cn23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [0.9999958276748657, 0.9998839497566223]
+Cc1cn2c(-c3ccc(OCCO)cc3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(C(F)(F)F)cc3)cnc2cn1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'FC(F)(F)c1ccccc1']; [1.0, 0.9999982118606567, 0.999992847442627, 0.9999703168869019, 0.999930739402771, 0.999692440032959, 0.80401611328125]
 Cc1cn2c(-c3ccc(OC[C@H](C)O)cc3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(C(=O)N4CCOCC4)cn3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3sc(C)nc3C)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1csc(C)n1', 'Cc1nc(C)c(Br)s1']; [0.9996089935302734, 0.9979042410850525]
+Cc1cn2c(-c3ccc4c(c3)CS(=O)(=O)C4)cnc2cn1; ['Cc1cn2ccnc2cn1']; ['O=S1(=O)Cc2ccc(Br)cc2C1']; [0.999944806098938]
+Cc1cn2c(-c3ccc(N(C)C)cc3)cnc2cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccccc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999997019767761, 0.9999967217445374, 0.9999904036521912, 0.9999651908874512, 0.999927818775177, 0.9996462464332581, 0.9880697727203369]
 Cc1cn2c(-c3ccc(OC[C@@H](C)O)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc4c(c3)CS(=O)(=O)C4)cnc2cn1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(F)(F)F)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(N(C)C)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(S(=O)(=O)N(C)C)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3sc(C)nc3C)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Cc3ccccc3O)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(S(=O)(=O)N(C)C)cc3)cnc2cn1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [0.9999998211860657, 0.9999943971633911, 0.999987781047821, 0.9999104738235474, 0.9999027252197266, 0.9996673464775085]
+CCNS(=O)(=O)c1ccc(-c2cnc3cnc(C)cn23)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [0.9999293088912964, 0.9965485334396362]
+Cc1cn2c(-c3ccc(Br)cc3)cnc2cn1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1ccc(I)cc1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'CO[Si](OC)(OC)c1ccc(Br)cc1', 'Cc1cn2ccnc2cn1', 'Brc1ccc(Br)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Cc1cn2ccnc2cn1', 'Clc1ccc(Br)cc1', 'Cc1cn2ccnc2cn1']; [0.9999985694885254, 0.9999732375144958, 0.9997298717498779, 0.9997020959854126, 0.9995721578598022, 0.996234655380249, 0.9885172247886658]
 Cc1cn2c(C3CCN(S(C)(=O)=O)CC3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Cc3cnc(N)nc3)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c([C@H]3CCN(C(=O)c4ccccc4)C3)cnc2cn1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc3cnc(C)cn23)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [0.9999997615814209, 0.9999531507492065, 0.9996808767318726, 0.9990878105163574]
 Cc1cn2c(-c3cc(C(C)C)nc(N)n3)cnc2cn1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cnc4cnc(C)cn34)c2)CC1; [None]; [None]; [0]
+Cc1cn2c(-c3ccn4nccc4n3)cnc2cn1; ['Brc1ccn2nccc2n1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9999828934669495]
 CCCOc1ccc(-c2cnc3cnc(C)cn23)nc1; [None]; [None]; [0]
 Cc1cn2c(-c3cccc(C(=O)[O-])c3C)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(Br)cc3)cnc2cn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc3cnc(C)cn23)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [0.9999901056289673, 0.9987994432449341, 0.9717825651168823]
+Cc1cn2c(-c3ccccc3-n3cccn3)cnc2cn1; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Brc1ccccc1-n1cccn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Cc1cn2ccnc2cn1', 'Clc1ccccc1-n1cccn1', 'c1ccc(-n2cccn2)cc1']; [1.0, 0.9999916553497314, 0.9999874830245972, 0.999984622001648, 0.9999569654464722, 0.9792811870574951]
 Cc1cn2c(-c3ccc(N(C)C)c(Cl)c3)cnc2cn1; [None]; [None]; [0]
-COc1ccc(Cc2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cnc2cnc(C)cn12; [None]; [None]; [0]
-Cc1cn2c(-c3c[nH]c4ccccc34)cnc2cn1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnc3cnc(C)cn23)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cnc2cnc(C)cn12; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Cl']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999849200248718, 0.9998425245285034, 0.9997700452804565, 0.9988991022109985, 0.9987553954124451, 0.9789096117019653]
+Cc1cn2c(-c3c[nH]c4ccccc34)cnc2cn1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Brc1c[nH]c2ccccc12', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Cc1cn2ccnc2cn1', 'c1ccc2[nH]ccc2c1']; [0.9999678134918213, 0.9981473088264465, 0.9967985153198242, 0.9958345890045166, 0.8658580780029297]
+Cc1cn2c(-c3ccc4c(c3)CCO4)cnc2cn1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Brc1ccc2c(c1)CCO2', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Cc1cn2ccnc2cn1', 'Clc1ccc2c(c1)CCO2']; [0.9999997615814209, 0.9999963045120239, 0.9999240636825562, 0.9999169707298279, 0.999839723110199, 0.9735615253448486]
+CC(=O)Nc1cccc(-c2cnc3cnc(C)cn23)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [0.9999985694885254, 0.999984085559845]
+COc1cc(-c2cnc3cnc(C)cn23)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999969005584717, 0.9999589323997498, 0.9998247623443604, 0.999256432056427]
+Cc1cn2c(-c3scc4c3OCCO4)cnc2cn1; ['Cc1cn2ccnc2cn1']; ['c1scc2c1OCCO2']; [0.9999631643295288]
 Cc1cn2c(-c3nc4ccc(C(C)C)cc4[nH]3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc4c(c3)CCO4)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc4ccccc4cn3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc(-c4ccccc4)[nH]n3)cnc2cn1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc3cnc(C)cn23)c1; [None]; [None]; [0]
+Cc1cn2c(-c3cccc4c3OCO4)cnc2cn1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Brc1cccc2c1OCO2']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'Cc1cn2c(Br)cnc2cn1']; [0.9999682903289795, 0.9988111257553101, 0.9985127449035645, 0.9979963302612305, 0.9974657893180847, 0.989930272102356]
+COc1cc(OC)c(-c2cnc3cnc(C)cn23)cc1Cl; [None]; [None]; [0]
+Cc1cn2c(-c3cnc4ccccc4c3)cnc2cn1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Brc1cnc2ccccc2c1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Cc1cn2ccnc2cn1', 'Clc1cnc2ccccc2c1']; [0.999991774559021, 0.9997960329055786, 0.9997447729110718, 0.999692440032959, 0.9986931085586548, 0.9978856444358826]
+Cc1cn2c(-c3ccc(C(=O)N(C)C)cc3)cnc2cn1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999997615814209, 0.9999759197235107, 0.9999499320983887, 0.9994193315505981]
+Cc1cn2c(-c3ccc(C(C)(C)C)cc3)cnc2cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999996423721313, 0.9999837875366211, 0.9999546408653259, 0.9997761249542236, 0.9997689723968506, 0.9928990602493286]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc2cnc(C)cn12; [None]; [None]; [0]
-COc1cc(-c2cnc3cnc(C)cn23)ccc1O; [None]; [None]; [0]
-Cc1cn2c(-c3cccc4c3OCO4)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3scc4c3OCCO4)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(C)(C)C)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cnc4ccccc4c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(=O)N(C)C)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(C)(C)C)nc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Cc3nc4c(F)c(F)ccc4[nH]3)cnc2cn1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cnc3cnc(C)cn23)c1; ['COc1cccc(C(N)=O)c1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9884262084960938]
+Cc1cn2c(-c3ccc(C(C)(C)C)nc3)cnc2cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999985098838806, 0.9999699592590332, 0.9996074438095093, 0.9993926882743835]
+Cc1cn2c(-c3csc(N)n3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3cc4ccccc4s3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Brc1cc2ccccc2s1']; ['OB(O)c1cc2ccccc2s1', 'Cc1cn2ccnc2cn1']; [0.9998629093170166, 0.9956412315368652]
+CSc1ccc(-c2cnc3cnc(C)cn23)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(Cl)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999963641166687, 0.9998819828033447, 0.999512791633606, 0.9994701743125916, 0.9864165782928467, 0.9216321706771851]
+Cc1cn2c(OCC3(C)COC3)cnc2cn1; ['CC1(CO)COC1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9942936897277832]
+Cc1cn2c(-c3cc(-c4ccccc4)[nH]n3)cnc2cn1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cnc4cnc(C)cn34)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999841451644897, 0.9992260932922363, 0.9944045543670654]
+COc1ccc(-c2cnc3cnc(C)cn23)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Cl)cc1OC']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999984502792358, 0.999994158744812, 0.9998781085014343, 0.9998434782028198, 0.9995582103729248, 0.9963787794113159]
 CC(=O)N[C@@H]1CC[C@@H](c2cnc3cnc(C)cn23)CC1; [None]; [None]; [0]
-Cc1cn2c(OCC3(C)COC3)cnc2cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnc3cnc(C)cn23)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnc4cnc(C)cn34)cc2)CC1; [None]; [None]; [0]
-CSc1cccc(-c2cnc3cnc(C)cn23)c1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(F)cc3Cl)cnc2cn1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'O=C(O)c1ccc(F)cc1Cl', 'Fc1ccc(Cl)c(Cl)c1']; [0.9999998807907104, 0.9999884963035583, 0.9999851584434509, 0.9995524883270264, 0.9992793202400208, 0.9808789491653442, 0.9408745169639587]
+Cc1cn2c(-c3ccc(C(=O)N4CCC[C@@H]4C)cc3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccn(-c4cccc(Cl)c4)n3)cnc2cn1; [None]; [None]; [0]
+CCc1ccc(-c2cnc3cnc(C)cn23)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Cl)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999994039535522, 0.9999566078186035, 0.9995322823524475, 0.9984334707260132, 0.9973576068878174, 0.9618823528289795]
+COc1ccc(CNc2cnc3cnc(C)cn23)cc1; ['COc1ccc(CN)cc1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9991171360015869]
+Cc1cn2c(-c3ccc(Cl)cc3Cl)cnc2cn1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl']; [0.999997615814209, 0.9998551607131958, 0.9995915293693542, 0.9979652166366577, 0.9949365854263306]
+Cc1cn2c(-c3ccc4c(c3)CCC(=O)N4)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3cc(C)nc(N)n3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c([C@H](CO)Cc3ccccc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(F)cc3Cl)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3cc4ccccn4n3)cnc2cn1; ['Brc1cc2ccccn2n1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9991588592529297]
 Cc1cn2c(-c3ncc(Br)cn3)cnc2cn1; [None]; [None]; [0]
-COc1ccc(-c2cnc3cnc(C)cn23)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
-COc1ccc(CNc2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(Cl)cc3Cl)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(CCCn3cncn3)cnc2cn1; [None]; [None]; [0]
+COc1cc(-c2cnc3cnc(C)cn23)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [1.0, 0.9999875426292419]
 Cc1cn2c(NC3CN(C(=O)C4CC4)C3)cnc2cn1; [None]; [None]; [0]
-COc1cc(-c2cnc3cnc(C)cn23)ccc1N1CCOCC1; [None]; [None]; [0]
-Cc1cn2c(-c3ncc4cccn4n3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc4ccccn4n3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cn(C)nc3C(F)(F)F)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3ccc4c(c3)CC(C)(C)O4)cnc2cn1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cnc4cnc(C)cn34)c2c1; [None]; [None]; [0]
+Cc1cn2c(-c3cn(C)nc3C(F)(F)F)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(Cl)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1ccc(C(F)(F)F)n1']; [0.9999865293502808, 0.9998162984848022, 0.9982556700706482, 0.9961683750152588, 0.9781231880187988, 0.9660289287567139, 0.955016016960144]
+COc1ccc2cccc(-c3cnc4cnc(C)cn34)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['Cc1cn2ccnc2cn1']; [0.9979685544967651]
+COc1cc(-c2cnc3cnc(C)cn23)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [1.0, 0.999998927116394, 0.999998927116394, 0.9999925494194031, 0.9999920129776001, 0.9884011745452881]
+Cc1cn2c(-c3ncc4cccn4n3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(Nc3nc(C)c(C)s3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['Cc1nc(N)sc1C']; [0.999984622001648]
 Cc1cn2c(-c3cccc4ccc(O)cc34)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(Nc3cc(C)n(C)n3)cnc2cn1; ['Cc1cc(N)nn1C']; ['Cc1cn2c(Br)cnc2cn1']; [0.999677300453186]
+Cc1cn2c(-c3cnn(CCO)c3)cnc2cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1']; [0.9992263317108154, 0.9986743927001953, 0.9815475344657898]
+CNC(=O)c1ccc(-c2cnc3cnc(C)cn23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [0.9999986290931702, 0.9999039173126221]
 COc1cc(F)c(-c2cnc3cnc(C)cn23)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cnc3cnc(C)cn23)ccc1Cl; [None]; [None]; [0]
-Cc1cn2c(-c3ncnc4c(C)csc34)cnc2cn1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3cnc(C)cn23)nc1; ['CCNC(=O)c1ccc(Br)nc1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9998313188552856]
+Cc1cn2c(NC(=O)c3ccco3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['NC(=O)c1ccco1']; [0.9863941073417664]
 Cc1cn2c(-c3ncc(Cl)cn3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Nc3nc(C)c(C)s3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Nc3cc(C)n(C)n3)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3cc(N)nc4[nH]ccc34)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ncnc4c(C)csc34)cnc2cn1; [None]; [None]; [0]
 COc1cc(-c2cnc3cnc(C)cn23)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc3cnc(C)cn23)c1; [None]; [None]; [0]
-Cc1cn2c(Cc3ccc(C(N)=O)cc3)cnc2cn1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc2cnc(C)cn12; [None]; [None]; [0]
+Cc1cn2c(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cnc2cn1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnc3cnc(C)cn23)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999687075614929, 0.9999526739120483, 0.9995330572128296, 0.9994613528251648, 0.9952762126922607, 0.9937819242477417]
 Cc1cn2c(Cc3ccc(S(=O)(=O)CCO)cc3)cnc2cn1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnc3cnc(C)cn23)CC1; [None]; [None]; [0]
-Cc1cn2c(NC(=O)c3ccco3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(NC(=O)c3ccc(C(C)(C)C)cc3)cnc2cn1; ['CC(C)(C)c1ccc(C(N)=O)cc1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9948921203613281]
+Cc1cn2c(-c3ccc4cn[nH]c4c3)cnc2cn1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Brc1ccc2cn[nH]c2c1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1', 'Cc1cn2ccnc2cn1']; [0.9999995231628418, 0.9999926090240479, 0.9998706579208374, 0.9991542100906372, 0.9982118010520935]
+COc1ccc2oc(-c3cnc4cnc(C)cn34)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9999669194221497]
 CCNC(=O)N1CCC(c2cnc3cnc(C)cn23)CC1; [None]; [None]; [0]
-Cc1cn2c(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cnc2cn1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc3cnc(C)cn23)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cnc3cnc(C)cn13)cn2C; [None]; [None]; [0]
-COc1ccc2oc(-c3cnc4cnc(C)cn34)cc2c1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc4cn[nH]c4c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(NC(=O)c3ccc(C(C)(C)C)cc3)cnc2cn1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnc3cnc(C)cn23)CC1; [None]; [None]; [0]
+Cc1cn2c(Cc3ccc(C(N)=O)cc3)cnc2cn1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cnc3cnc(C)cn13)cn2C; ['COc1ccc2c(ccn2C)c1']; ['Cc1cn2ccnc2cn1']; [0.9947441220283508]
+CCn1cc(-c2cnc3cnc(C)cn23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Cl)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(S(=O)(=O)Cl)cn1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999842047691345, 0.9998518228530884, 0.9997256994247437, 0.9991645812988281, 0.9984806776046753, 0.9635002017021179]
+Cc1cn2c(-c3cc4ccccc4o3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['OB(O)c1cc2ccccc2o1']; [0.9999685883522034]
 Cc1cn2c(-c3ccc(C[NH+](C)C)cc3)cnc2cn1; [None]; [None]; [0]
-CCn1cc(-c2cnc3cnc(C)cn23)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cnc3cnc(C)cn23)c1; [None]; [None]; [0]
-Cc1cn2c(-c3cc(-c4cccnc4)ccn3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc4ccccc4o3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3cn(C)nc3C(C)C)cnc2cn1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1I', 'CC(C)c1ccn(C)n1', 'CC(C)c1nn(C)cc1Br']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9991337656974792, 0.9901490211486816, 0.9646980166435242, 0.8367034792900085]
+COc1ccc2nc(-c3cnc4cnc(C)cn34)[nH]c2c1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(OC(F)(F)F)cc3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'Cc1cn2c(Br)cnc2cn1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'FC(F)(F)Oc1ccccc1']; [1.0, 1.0, 0.9999997615814209, 0.9999992251396179, 0.9999957084655762, 0.9999949336051941, 0.9983504414558411]
+COc1ccc(F)c(C(=O)Nc2cnc3cnc(C)cn23)c1; ['COc1ccc(F)c(C(N)=O)c1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9995347857475281]
+Cc1cn2c(-c3cccc(NC(=O)N4CCCC4)c3)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3cc(Br)cn3C)cnc2cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
+Cc1cn2c(-c3cc(-c4cccnc4)ccn3)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3ncc4sccc4n3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cn(C)nc3C(C)C)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(=O)N4CCC[C@@H]4C)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cccc(NC(=O)N4CCCC4)c3)cnc2cn1; [None]; [None]; [0]
-COc1ccc2nc(-c3cnc4cnc(C)cn34)[nH]c2c1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(OC(F)(F)F)cc3)cnc2cn1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cnc3cnc(C)cn23)c1; [None]; [None]; [0]
-Cc1cn2c(-c3cn(C)c4ccccc34)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3cn(C)c4ccccc34)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; [0.9999983310699463, 0.9010301828384399]
+CCc1cccc(-c2cnc3cnc(C)cn23)n1; ['CCc1cccc(Br)n1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9825465679168701]
+Cc1cn2c(-c3ccc4c(C)n[nH]c4c3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; [1.0, 0.9999978542327881, 0.9922782182693481]
+Cc1cn2c(-c3ccc(N(C)C)nc3)cnc2cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(Cl)cn1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999995231628418, 0.9999921917915344, 0.9996360540390015, 0.9989060163497925, 0.9985531568527222, 0.8758835792541504]
 Cc1cn2c(-c3cc4ccc(C(C)(C)O)cc4[nH]3)cnc2cn1; [None]; [None]; [0]
-CCc1cccc(-c2cnc3cnc(C)cn23)n1; [None]; [None]; [0]
-Cc1cn2c(-c3ncn4c3CCCC4)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3cc(C)c(OCCO)c(C)c3)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3ccc4c(cnn4C)c3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3cccc(N4CCCC4=O)c3)cnc2cn1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['Cc1cn2c(Br)cnc2cn1']; [0.9999986886978149]
+Cc1cn2c(NC(=O)c3cccc(OC(F)(F)F)c3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['NC(=O)c1cccc(OC(F)(F)F)c1']; [0.9998806118965149]
+Cc1cn2c(-c3ncn4c3CCCC4)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3ccc4c(c3)c(Cl)nn4C)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(N(C)C)nc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc4c(C)n[nH]c4c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cccc(N4CCCC4=O)c3)cnc2cn1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cnc4cnc(C)cn34)cn2)CC1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(CCO)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(NC(=O)c3cccc(OC(F)(F)F)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(=O)N(C)C)cc3Cl)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(CCO)cc3)cnc2cn1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1']; [0.9999978542327881, 0.9997400045394897, 0.9943103790283203, 0.984887421131134, 0.979475200176239]
 Cc1cn2c(-c3ccc(-c4cnc(C)n4C)cc3)cnc2cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc3cnc(C)cn23)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [0.9999121427536011, 0.9434312582015991]
+COc1cc(S(C)(=O)=O)ccc1-c1cnc2cnc(C)cn12; ['COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; [0.9963388442993164, 0.9938637018203735]
 COc1cc(-c2cnn(C)c2)ccc1-c1cnc2cnc(C)cn12; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(C(=O)N(C)C)cc3Cl)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3ccc(N4CCOCC4)cc3C)cnc2cn1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cnc2cnc(C)cn12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3cnc(C)cn23)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; [0.999991774559021, 0.9996805191040039, 0.9975359439849854, 0.9860191345214844]
 COc1cc(N2CCNCC2)ccc1-c1cnc2cnc(C)cn12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3cnc(C)cn23)c(OC)c1; [None]; [None]; [0]
+Cc1cn2c(Nc3cc(C)c(F)cn3)cnc2cn1; ['Cc1cc(N)ncc1F']; ['Cc1cn2c(Br)cnc2cn1']; [0.9995288848876953]
+Cc1cn2c(Nc3ccccn3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['Nc1ccccn1']; [0.9962359666824341]
+Cc1cn2c(Nc3ccc(F)cn3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['Nc1ccc(F)cn1']; [0.9994924068450928]
+CCNC(=O)Cc1ccc(-c2cnc3cnc(C)cn23)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9991377592086792]
+Cc1cn2c(-c3ccc(C(=O)N(C)C)cn3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3cc(S(C)(=O)=O)ccc3Cl)cnc2cn1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Cc1cn2ccnc2cn1']; [0.9993559718132019]
+Cc1cn2c(-c3ccc(Cl)c(O)c3)cnc2cn1; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(I)ccc1Cl', 'Oc1cc(Br)ccc1Cl']; [0.9999966621398926, 0.9999731779098511, 0.9996602535247803, 0.9960488677024841]
 Cc1cn2c(-c3cc(C(C)(C)O)n(C)n3)cnc2cn1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnc3cnc(C)cn23)cc1; [None]; [None]; [0]
-Cc1cn2c(Nc3ccc(F)cn3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Nc3cc(C)c(F)cn3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Nc3ccccn3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc(S(C)(=O)=O)ccc3Cl)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3c(Cl)ccc4c3OCO4)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2', 'Clc1ccc2c(c1)OCO2']; [0.999352753162384, 0.9987138509750366, 0.913013756275177]
+Cc1cn2c(Oc3ccc(F)cc3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['Oc1ccc(F)cc1']; [0.9999017715454102]
+Cc1cn2c(-c3cccc4ncccc34)cnc2cn1; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Brc1cccc2ncccc12']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1cccc2ncccc12', 'Ic1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'Cc1cn2ccnc2cn1']; [0.9999797344207764, 0.997043251991272, 0.96392822265625, 0.9612432718276978, 0.9426283240318298]
+Cc1cn2c(-c3c(Cl)cccc3Cl)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl']; [0.9994816780090332, 0.9990824460983276, 0.9979007244110107, 0.997024655342102, 0.9380079507827759]
+Cc1cn2c(-c3ccc(C(N)=O)cc3F)cnc2cn1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'NC(=O)c1ccc(B(O)O)c(F)c1']; [0.9999994039535522, 0.9999233484268188]
+COc1cc(C(N)=O)ccc1-c1cnc2cnc(C)cn12; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Cc1cn2c(Br)cnc2cn1']; [0.9999874234199524]
+Cc1cn2c(-c3ccc(O)cc3Cl)cnc2cn1; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1']; [0.9999823570251465, 0.9992637038230896, 0.9988751411437988, 0.9771825671195984]
 CNC(=O)c1ccc(C)c(-c2cnc3cnc(C)cn23)c1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(O)cc3F)cnc2cn1; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Br)c(F)c1', 'Oc1ccc(I)c(F)c1', 'OB(O)c1ccc(O)cc1F']; [0.9999842643737793, 0.9981436729431152, 0.9932190179824829, 0.9920623302459717, 0.9773731827735901]
 Cc1cn2c(-c3cc(C(=O)NCCO)ccc3C)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(O)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cccc4ncccc34)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(Cl)c(O)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3nc4ccccc4n3C)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3n[nH]c4ccccc34)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3c(Cl)cccc3Cl)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Oc3ccc(F)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(N)=O)cc3F)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(O)cc3Cl)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3ccnc(N)n3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cn[nH]c3Cl)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(-c4ccc(O)cc4O)cc3)cnc2cn1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnc2cnc(C)cn12; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999964833259583, 0.9999574422836304, 0.999840259552002, 0.999406099319458, 0.9993279576301575, 0.7703158855438232]
+Cc1cn2c(-c3n[nH]c4ccccc34)cnc2cn1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2cnc3cnc(C)cn23)o1; [None]; [None]; [0]
-COc1cc(CCc2cnc3cnc(C)cn23)ccc1O; [None]; [None]; [0]
-Cc1cn2c(COc3cccc(Cl)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cccc(Br)c3)cnc2cn1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnc2cnc(C)cn12; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1C(=O)O', 'COc1cccc(F)c1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999915361404419, 0.9999216794967651, 0.9998326897621155, 0.9998027086257935, 0.9993985891342163, 0.9992858171463013, 0.9986978769302368, 0.9977905750274658, 0.995311975479126, 0.8000907897949219]
+Cc1cn2c(-c3cc(F)c4nc(C)[nH]c4c3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3cn[nH]c3Cl)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc4ccccc4c3)cnc2cn1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Brc1ccc2ccccc2c1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Cc1cn2ccnc2cn1', 'Clc1ccc2ccccc2c1']; [0.9999986886978149, 0.9999786615371704, 0.999458909034729, 0.9994121789932251, 0.9993271827697754, 0.9949612617492676]
+Cc1cn2c(-c3cccc(Br)c3)cnc2cn1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(I)c1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Brc1cccc(Br)c1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Clc1cccc(Br)c1', 'Cc1cn2ccnc2cn1']; [0.9999958276748657, 0.9997826814651489, 0.9997677206993103, 0.9995564222335815, 0.9975371360778809, 0.9897457361221313]
+Cc1cn2c(-c3ccc(O)c(F)c3)cnc2cn1; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F']; [0.9999996423721313, 0.9999980926513672, 0.9998515844345093]
+Cc1cn2c(-c3ccc(-c4ccc(O)cc4O)cc3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; [0.9719597101211548, 0.9470939636230469]
+Cc1cn2c(-c3cnn4ncccc34)cnc2cn1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999995231628418, 0.9995590448379517]
+Cc1cn2c(-c3ccc(F)c(Cl)c3)cnc2cn1; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'Fc1ccc(I)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccccc1Cl']; [1.0, 0.9999991655349731, 0.9999989867210388, 0.9999984502792358, 0.999981164932251, 0.9991785287857056, 0.9953616261482239]
 Cc1cn2c(-c3ccc(O)cc3O)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cnn4ncccc34)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccnc(N)c3)cnc2cn1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(I)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(Cl)ccn1']; [0.9999969005584717, 0.99974524974823, 0.9978339672088623, 0.9968181848526001, 0.9949804544448853]
 COC(=O)c1ccc(Cl)c(-c2cnc3cnc(C)cn23)c1; [None]; [None]; [0]
+COc1cc(CCc2cnc3cnc(C)cn23)ccc1O; [None]; [None]; [0]
+Cc1cn2c(-c3c[nH]c4cnccc34)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3c(C)ccc4[nH]ncc34)cnc2cn1; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1Br']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999992847442627, 0.9998446702957153, 0.9955487251281738, 0.9910368919372559, 0.9487858414649963]
 Cc1cn2c(COc3ccccc3Cl)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c([C@H](CO)c3ccccc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(F)c(Cl)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(CCc3ccc(Cl)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc(O)ccc3C)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3c(C)ccc4[nH]ncc34)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc(O)ccc3Cl)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3c(Cl)ccc4c3OCO4)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc(CO)ccc3C)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cnc(O)c(Cl)c3)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3c[nH]c(C(N)=O)c3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3cc(O)ccc3Cl)cnc2cn1; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1cc(O)ccc1Cl']; [0.9998317956924438, 0.9893598556518555]
+Cc1cn2c(-c3cnc(O)c(Cl)c3)cnc2cn1; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'Oc1ncc(I)cc1Cl', 'Oc1ncccc1Cl']; [0.9999963045120239, 0.9997496604919434, 0.9987688660621643]
+Cc1cn2c(-c3ccc4nc(C)[nH]c4c3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1']; [0.9999998211860657, 0.9989875555038452]
+Cc1cn2c(-c3cnc4[nH]ccc4c3)cnc2cn1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999997019767761, 0.9999878406524658]
+Cc1cn2c(-c3ccc(NC(N)=O)cc3)cnc2cn1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['Cc1cn2c(Br)cnc2cn1']; [0.9999997019767761]
+CCOc1cccc(-c2cnc3cnc(C)cn23)c1; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc([Mg]Br)c1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999960660934448, 0.9999432563781738, 0.9993504285812378, 0.9987227916717529, 0.9969125986099243, 0.9948667883872986]
+Cc1cn2c(-c3cc(CO)ccc3C)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3[nH]cnc3-c3ccc(F)cc3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(S(C)(=O)=O)cc3)cnc2cn1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [1.0, 0.9999511241912842, 0.9999232292175293, 0.9990336894989014, 0.9974989295005798, 0.9922641515731812, 0.9606266021728516]
 CNC(=O)c1cccc2cc(-c3cnc4cnc(C)cn34)ccc12; [None]; [None]; [0]
-Cc1cn2c(-c3ccc4nc(C)[nH]c4c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(NC(N)=O)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cnc4[nH]ccc4c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(S(C)(=O)=O)cc3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3cncc(O)c3)cnc2cn1; ['Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1']; ['OB(O)c1cncc(O)c1', 'Oc1cncc(I)c1', 'Cc1cn2c(Br)cnc2cn1', 'Oc1cncc(Br)c1', 'OB(O)c1cncc(O)c1']; [0.9996514320373535, 0.9995743036270142, 0.9995328187942505, 0.9986239671707153, 0.9970762729644775]
+COc1cc(CCc2cnc3cnc(C)cn23)cc(OC)c1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cnc2cnc(C)cn12; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1Br']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9998244047164917, 0.9364757537841797]
+CCc1cc(O)c(F)cc1-c1cnc2cnc(C)cn12; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1Br']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999942779541016, 0.996401309967041]
 Cc1cn2c(-c3nc4ccccc4s3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cncc(O)c3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(N(C)c3ccc4c(C)n[nH]c4c3)cnc2cn1; [None]; [None]; [0]
+CNc1nccc(-c2cnc3cnc(C)cn23)n1; [None]; [None]; [0]
+Cc1cn2c(-c3cc(C(F)F)n[nH]3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(N(C)c3cccc(Cl)c3)cnc2cn1; ['CNc1cccc(Cl)c1']; ['Cc1cn2c(Br)cnc2cn1']; [0.989223837852478]
+Cc1cn2c(-c3ccc(O)cc3C)cnc2cn1; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1Br']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9998616576194763, 0.9821397662162781, 0.9110580682754517]
+Cc1cn2c(-c3[nH]nc(C)c3C)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3ccc4c(c3)CC(=O)N4)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c([C@H](C)CC(N)=O)cnc2cn1; [None]; [None]; [0]
-CNc1nccc(-c2cnc3cnc(C)cn23)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnc2cnc(C)cn12; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnc2cnc(C)cn12; [None]; [None]; [0]
-Cc1cn2c(N(C)c3ccc4c(C)n[nH]c4c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(N(C)c3cccc(Cl)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(O)cc3C)cnc2cn1; [None]; [None]; [0]
 CCc1sccc1-c1cnc2cnc(C)cn12; [None]; [None]; [0]
-Cc1cn2c(-c3cc(Cl)c(O)c(Cl)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc4c(c3)CCN4)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc(O)n4nccc4n3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccncc3Cl)cnc2cn1; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'Clc1cnccc1Br', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1I', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1Br', 'Nc1ccncc1Cl', 'O=C(O)c1ccncc1Cl', 'Clc1ccncc1Cl']; [0.999997615814209, 0.9999234080314636, 0.9998413920402527, 0.9998279809951782, 0.9992738962173462, 0.9992146492004395, 0.9964139461517334, 0.9782291650772095, 0.9659737348556519]
+Cc1cn2c(-c3cc(Cl)c(O)c(Cl)c3)cnc2cn1; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cccc1Cl']; [0.9999842643737793, 0.9997339248657227, 0.8389605283737183]
+Cc1cn2c(-c3ccc4c(c3)CCN4)cnc2cn1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Brc1ccc2c(c1)CCN2']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2', 'Cc1cn2ccnc2cn1']; [0.9999997615814209, 0.9999741315841675, 0.9988004565238953, 0.9946945905685425]
+Cc1cn2c(Nc3ccncc3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['Nc1ccncc1']; [0.9958451390266418]
+Cc1cn2c(-c3ccc4[nH]c(=O)[nH]c4c3)cnc2cn1; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1']; [0.9999982118606567, 0.9999841451644897, 0.9997628927230835, 0.9988640546798706, 0.9983038306236267]
+Cc1cn2c(-c3ccc(Br)cc3F)cnc2cn1; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1I', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Cl', 'Fc1cc(Br)ccc1Br']; [0.9999938011169434, 0.9989411234855652, 0.9989196062088013, 0.9931470155715942, 0.9927178025245667, 0.9456089735031128]
+Cc1cn2c(-c3cc(O)cc(Br)c3)cnc2cn1; ['CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1']; [0.9999101161956787, 0.9982402324676514, 0.985683798789978]
 Cc1cn2c(-c3cc(C(=O)[O-])c(C)o3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc4[nH]c(=O)[nH]c4c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3c(N)cnn3C)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Nc3ccncc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(Br)cc3F)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(C(N)=O)c(C)c3)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc(C(=O)NC4CC4)cc3)cnc2cn1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999997615814209, 0.9999932646751404, 0.994834303855896, 0.9697166681289673]
+CNc1nc(-c2cnc3cnc(C)cn23)ncc1F; [None]; [None]; [0]
+Cc1cn2c(-c3cc(O)n4nccc4n3)cnc2cn1; [None]; [None]; [0]
 Cc1cn2c(-c3[nH]nc4ccc(F)cc34)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3[nH]nc(C)c3C)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3c(N)cnn3C)cnc2cn1; [None]; [None]; [0]
+CSc1cccc(-c2cnc3cnc(C)cn23)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Cl)c1']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9999886751174927, 0.999523401260376, 0.9977309703826904, 0.9783406257629395, 0.964269757270813]
+Cc1cn2c(-c3cc(F)c(O)c(F)c3)cnc2cn1; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Cc1cn2c(Br)cnc2cn1']; ['Cc1cn2c(Br)cnc2cn1', 'OB(O)c1cc(F)c(O)c(F)c1']; [0.9999949932098389, 0.9999659657478333]
 Cc1cn2c(N(C)c3cccc4[nH]ncc34)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc(O)cc(Br)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(=O)NC4CC4)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc(C(N)=O)c(C)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc4nc(C)oc4c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cc(F)c(O)c(F)c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3ccc4c(=O)[nH][nH]c4c3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3[nH]cnc3-c3ccc(F)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(OCc3ccccc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(CCc3c[nH]c4ccccc34)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(-c3ccc4nc(C)oc4c3)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; [0.9999993443489075, 0.999998927116394, 0.999994158744812, 0.9997690916061401]
+Cc1cn2c(-c3cc(C)c(O)c(C)c3)cnc2cn1; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(I)cc(C)c1O']; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; [0.9989460706710815, 0.9816879630088806, 0.976152777671814, 0.9000101089477539]
+Cc1cn2c(-c3ccc4c(=O)[nH][nH]c4c3)cnc2cn1; ['Cc1cn2ccnc2cn1']; ['O=c1[nH][nH]c2cc(Br)ccc12']; [0.980610728263855]
 Cc1cn2c(OCc3cccc4ccccc34)cnc2cn1; [None]; [None]; [0]
+Cc1cn2c(Oc3ccc(F)cc3F)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['Oc1ccc(F)cc1F']; [0.9999834299087524]
+Cc1cn2c(NCc3c(F)cccc3Cl)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.9999933242797852, 0.9998825788497925]
+CC(=O)N(C)c1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12']; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.9999998211860657]
+Cc1cn2c(-c3c(-c4ccccc4)noc3C)cnc2cn1; ['Cc1cn2ccnc2cn1', 'Cc1cn2c(Br)cnc2cn1', 'Cc1cn2ccnc2cn1']; ['Cc1onc(-c2ccccc2)c1I', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O']; [0.9999352097511292, 0.9998772144317627, 0.9975671768188477]
+Cc1cn2c(OCc3ccc(F)cc3F)cnc2cn1; ['Cc1cn2c(Br)cnc2cn1']; ['OCc1ccc(F)cc1F']; [0.9982390403747559]
 Cc1cn2c(-c3ocnc3-c3ccc(F)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Oc3ccc(F)cc3F)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(Oc3ccccc3F)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3c(-c4ccccc4)noc3C)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(-c3cn[nH]c3-c3ccc(Cl)cc3)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(OCc3ccc(F)cc3F)cnc2cn1; [None]; [None]; [0]
+CCOc1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(Cl)cc1', 'CCOc1ccc(Cl)cc1', 'CCOc1ccccc1']; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CCOc1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'CCOc1ccc(Br)cc1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999998807907104, 0.9999997615814209, 0.9999962449073792, 0.9999932050704956, 0.9999798536300659, 0.9999443888664246, 0.9999403357505798, 0.9997917413711548, 0.9997540712356567, 0.9997045993804932, 0.9989511966705322, 0.9981603622436523, 0.9861632585525513, 0.9299588203430176]
+Cc1cn2c(CCc3c[nH]c4ccccc34)cnc2cn1; [None]; [None]; [0]
+COc1ncccc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'Brc1cnc2cnccn12', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1Br', 'COc1ncccc1I']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'COc1ncccc1B(O)O', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999986886978149, 0.9999927282333374, 0.9999895691871643, 0.999895453453064, 0.9998242855072021, 0.9997365474700928, 0.9973376393318176, 0.9617594480514526, 0.9575645923614502, 0.8233938217163086]
+CS(=O)(=O)c1cccc(-c2cnc3cnccn23)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Brc1cnc2cnccn12', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Ic1cnc2cnccn12', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Clc1cnc2cnccn12']; [1.0, 0.9999996423721313, 0.9999963045120239, 0.9999958276748657, 0.9999939799308777, 0.9999663829803467, 0.9998749494552612]
 Cc1cn2c(CCc3ccc(F)cc3F)cnc2cn1; [None]; [None]; [0]
-Cc1cn2c(NCc3c(F)cccc3Cl)cnc2cn1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cnc2cnccn12; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4cnccn34)cc2)CC1; [None]; [None]; [0]
+Cc1cn2c(-c3cn[nH]c3-c3ccc(Cl)cc3)cnc2cn1; [None]; [None]; [0]
+COc1cc(-c2cnc3cnccn23)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'Brc1cnc2cnccn12', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'Brc1cnc2cnccn12', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Ic1cnc2cnccn12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'COc1cc(B(O)O)cc(OC)c1OC', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999969005584717, 0.9999958276748657, 0.9999891519546509, 0.9999614357948303, 0.9999446272850037, 0.9999387264251709, 0.999922513961792, 0.9998819828033447, 0.9998356699943542, 0.9985834956169128]
+Cc1nc(C(C)(C)O)sc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12']; ['Cc1csc(C(C)(C)O)n1']; [0.9742485284805298]
+Cc1ccc2ncn(-c3cnc4cnccn34)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Brc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; ['Clc1cnc2cnccn12', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12']; [0.9914283752441406, 0.9885831475257874, 0.9878976345062256, 0.9852399826049805, 0.8875443935394287]
+COc1ccc(-c2cnc3cnccn23)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cnccn12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(OS(C)(=O)=O)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(Br)cc1', 'COc1ccccc1', 'COc1ccc(Cl)cc1']; ['Ic1cnc2cnccn12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'COc1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999996423721313, 0.9999996423721313, 0.9999971389770508, 0.9999931454658508, 0.9999536275863647, 0.9999431371688843, 0.999915361404419, 0.9998834133148193, 0.9997862577438354, 0.9991365671157837, 0.9988464117050171, 0.9961389303207397, 0.9838739037513733, 0.9766881465911865]
+c1cnn2c(-c3cnc4cnccn34)cnc2c1; [None]; [None]; [0]
+Oc1cccc(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'OB(O)c1cccc(O)c1', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OB(O)c1cccc(O)c1', 'c1cn2ccnc2cn1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999996542930603, 0.9999964833259583, 0.9999725818634033, 0.9999492764472961, 0.9997851848602295, 0.9996485710144043, 0.9995827674865723, 0.9990984201431274, 0.9988349676132202, 0.9906718730926514]
+c1cn2c(-c3ccc(N4CCOCC4)cc3)cnc2cn1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'Clc1cnc2cnccn12']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'Brc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1ccc(N2CCOCC2)cc1']; [1.0, 1.0, 0.9999998807907104, 0.9999997615814209, 0.9999982118606567, 0.999993085861206, 0.9999808073043823, 0.9999638795852661, 0.9999597072601318, 0.999796450138092, 0.9993960857391357, 0.7532943487167358]
+Cc1cc(Nc2cnc3cnccn23)sn1; ['Brc1cnc2cnccn12', 'Cc1cc(N)sn1']; ['Cc1cc(N)sn1', 'Clc1cnc2cnccn12']; [0.9997677206993103, 0.9996769428253174]
+c1ccc2[nH]c(-c3cnc4cnccn34)nc2c1; ['Nc1ccccc1N', 'N#Cc1cnc2cnccn12', 'Nc1ccccc1N']; ['O=C(O)c1cnc2cnccn12', 'Nc1ccccc1N', 'O=Cc1cnc2cnccn12']; [0.9998697638511658, 0.9998056888580322, 0.9973117709159851]
+c1ccc2nc(-c3cnc4cnccn34)ncc2c1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cnc3cnccn23)c1)C1CC1; ['O=C(Nc1cccc(Br)c1)C1CC1']; ['c1cn2ccnc2cn1']; [0.9999856948852539]
+c1ccc2c(-c3cnc4cnccn34)nccc2c1; ['Brc1cnc2cnccn12', 'Brc1nccc2ccccc12', 'Brc1cnc2cnccn12', 'Brc1nccc2ccccc12', 'Brc1cnc2cnccn12']; ['Clc1nccc2ccccc12', 'Clc1cnc2cnccn12', 'Brc1nccc2ccccc12', 'c1cn2ccnc2cn1', 'c1ccc2cnccc2c1']; [0.9995860457420349, 0.9968961477279663, 0.9921309947967529, 0.9867032170295715, 0.9379912614822388]
+NC(=O)c1ccc(-c2cnc3cnccn23)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'NC(=O)c1ccc(Br)cc1']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Clc1cnc2cnccn12', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1']; [1.0, 0.9999996423721313, 0.9999992847442627, 0.999998152256012, 0.999972939491272, 0.9999587535858154, 0.9982568025588989]
+N#Cc1ccc(O)c(-c2cnc3cnccn23)c1; ['Ic1cnc2cnccn12', 'N#Cc1ccc(O)c(Br)c1', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'N#Cc1ccc(O)c(I)c1']; ['N#Cc1ccc(O)c(B(O)O)c1', 'c1cn2ccnc2cn1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Br)c1', 'c1cn2ccnc2cn1']; [0.9989756345748901, 0.9984480142593384, 0.996572732925415, 0.9935839176177979, 0.9900364875793457, 0.9877982139587402]
+c1cnc(Nc2cnc3cnccn23)nc1; ['Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9995396137237549, 0.9955860376358032]
 N#Cc1cccc(Cn2cc(-c3cnc4cnccn34)cn2)c1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4cnccn34)cc2)CC1; [None]; [None]; [0]
+c1cc(-c2cnc3cnccn23)cc(C2CCNCC2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Clc1cnc2cnccn12', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.9999998211860657, 0.9999982118606567, 0.9999762773513794, 0.99996417760849]
+c1cc(Nc2cnc3cnccn23)ncn1; ['Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.9991648197174072, 0.9935933351516724]
+CC(=O)NCc1ccc(-c2cnc3cnccn23)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cnccn12', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CC(=O)NCc1ccc(B(O)O)cc1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'CC(=O)NCc1ccc(Br)cc1']; [1.0, 0.9999995231628418, 0.9999968409538269, 0.9999948740005493, 0.9999630451202393, 0.9998408555984497, 0.998144805431366, 0.9890191555023193]
+O=C(c1ccc(-c2cnc3cnccn23)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Clc1cnc2cnccn12', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'c1cn2ccnc2cn1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 1.0, 1.0, 0.9999997615814209, 0.9999972581863403, 0.9999943971633911, 0.9999927878379822, 0.9995592832565308]
+OCCOc1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(I)cc1']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Clc1cnc2cnccn12', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.9999995231628418, 0.9999966621398926, 0.9999796152114868, 0.9999010562896729, 0.99970543384552, 0.9955925941467285, 0.9950798749923706]
+FC(F)(F)c1ccc(-c2cnc3cnccn23)cc1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Brc1cnc2cnccn12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'Clc1cnc2cnccn12', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'FC(F)(F)c1ccccc1']; ['Ic1cnc2cnccn12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Clc1cnc2cnccn12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [1.0, 1.0, 1.0, 1.0, 0.9999994039535522, 0.9999990463256836, 0.9999974370002747, 0.9999974370002747, 0.9999964237213135, 0.9999837875366211, 0.9997690916061401, 0.9989374876022339, 0.9892632961273193]
+CNS(=O)(=O)c1ccc(-c2cnc3cnccn23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cnccn12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; [1.0, 0.9999991655349731, 0.9999990463256836, 0.9999948740005493, 0.9999381303787231, 0.9998524188995361]
+C[C@H](O)COc1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(Br)cc1', 'Brc1cnc2cnccn12', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccccc1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CN(C)c1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'CN(C)c1ccc(Br)cc1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [1.0, 1.0, 0.9999992251396179, 0.999998927116394, 0.9999961853027344, 0.9999828338623047, 0.9999659061431885, 0.9999417066574097, 0.9999344944953918, 0.9997663497924805, 0.999763011932373, 0.9984352588653564, 0.9964454174041748, 0.9877538681030273]
+Cc1nc(C)c(-c2cnc3cnccn23)s1; ['Brc1cnc2cnccn12', 'Cc1nc(C)c(Br)s1']; ['Cc1csc(C)n1', 'c1cn2ccnc2cn1']; [0.9991894960403442, 0.9977115392684937]
+O=C(c1ccc(-c2cnc3cnccn23)nc1)N1CCOCC1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'Brc1cnc2cnccn12']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; [1.0, 1.0, 0.9999996423721313, 0.9999992251396179, 0.9999865889549255, 0.9999856948852539, 0.9999707341194153, 0.9999477863311768, 0.9998593330383301, 0.9990795850753784]
+CCNS(=O)(=O)c1ccc(-c2cnc3cnccn23)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1cnc2cnccn12']; [0.9999511241912842]
 O=S1(=O)Cc2ccc(-c3cnc4cnccn34)cc2C1; [None]; [None]; [0]
+Brc1ccc(-c2cnc3cnccn23)cc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Brc1ccc(I)cc1', 'OB(O)c1ccc(Br)cc1', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1ccc(Br)cc1', 'Brc1ccc(Br)cc1', 'Brc1ccc(Br)cc1', 'Clc1ccc(Br)cc1']; ['Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'OB(O)c1ccc(Br)cc1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12']; [1.0, 0.9999995231628418, 0.9999986290931702, 0.9999978542327881, 0.9999797344207764, 0.9999633431434631, 0.9999315738677979, 0.9996417760848999, 0.9978431463241577, 0.9977308511734009, 0.9952579736709595, 0.9919282793998718]
+CCCOc1ccc(-c2cnc3cnccn23)nc1; ['CCCOc1ccc(Br)nc1', 'CCCOc1ccc(Br)nc1', 'Brc1cnc2cnccn12']; ['c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'CCCOc1ccc(Br)nc1']; [0.9999978542327881, 0.9999964833259583, 0.9999938011169434]
 CC(C)c1cc(-c2cnc3cnccn23)nc(N)n1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc3cnccn23)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cnccn12', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; [1.0, 1.0, 0.9999997615814209, 0.9999990463256836, 0.9999790191650391, 0.9999328255653381, 0.9998990297317505, 0.9992614388465881]
+CS(=O)(=O)N1CCC(c2cnc3cnccn23)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2cnc3cnccn23)C1; [None]; [None]; [0]
+c1cn2c(-c3ccn4nccc4n3)cnc2cn1; ['Ic1ccn2nccc2n1']; ['c1cn2ccnc2cn1']; [0.9999979734420776]
 CC(=O)N1CCCN(c2cccc(-c3cnc4cnccn34)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cnc3cnccn23)nc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc3cnccn23)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Brc1cnc2cnccn12', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'CN(C)c1ccc(Br)cc1Cl']; [0.9999997615814209, 0.9999997019767761, 0.9999989867210388, 0.9999476671218872, 0.9999201893806458]
+CNS(=O)(=O)c1ccc(-c2cnc3cnccn23)c(C)c1; ['Brc1cnc2cnccn12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'Brc1cnc2cnccn12', 'Brc1cnc2cnccn12']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; [0.9999974370002747, 0.9999822974205017, 0.9998249411582947, 0.9996670484542847, 0.9996397495269775, 0.9775751829147339]
+c1cn2c(-c3ccc4c(c3)CCO4)cnc2cn1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OB(O)c1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'Clc1ccc2c(c1)CCO2']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1cnc2cnccn12', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [1.0, 0.9999997615814209, 0.9999995827674866, 0.9999980926513672, 0.9999962449073792, 0.9999932646751404, 0.9999784231185913, 0.9999678134918213, 0.9998964071273804, 0.992689847946167]
+c1ccc(-n2cccn2)c(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Brc1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Clc1cnc2cnccn12', 'Clc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1', 'Clc1ccccc1-n1cccn1', 'c1ccc(-n2cccn2)cc1']; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'OB(O)c1ccccc1-n1cccn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999997615814209, 0.9999996423721313, 0.9999994039535522, 0.9999991655349731, 0.9999978542327881, 0.9999967813491821, 0.9999900460243225, 0.9999878406524658, 0.9999628067016602, 0.9998306035995483, 0.9995313286781311, 0.9962253570556641]
+COc1ccc(Cl)cc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'Brc1cnc2cnccn12', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1[Mg]Br', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1Cl']; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'COc1ccc(Cl)cc1B(O)O', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12']; [0.9999887943267822, 0.9999818801879883, 0.9999605417251587, 0.999923586845398, 0.999895453453064, 0.9989262223243713, 0.9988880157470703, 0.9986002445220947, 0.9915937185287476, 0.9841052293777466, 0.9634476900100708, 0.9405355453491211, 0.9342608451843262]
+Cc1c(C(=O)[O-])cccc1-c1cnc2cnccn12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Brc1cnc2cnccn12', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CC(=O)Nc1cccc(B(O)O)c1', 'Clc1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12']; [0.9999996423721313, 0.9999986886978149, 0.9999923706054688, 0.9999866485595703, 0.9999781847000122, 0.9997907876968384, 0.9900047779083252]
 CC(C)c1ccc2nc(-c3cnc4cnccn34)[nH]c2c1; [None]; [None]; [0]
+c1ccc2c(-c3cnc4cnccn34)c[nH]c2c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1c[nH]c2ccccc12', 'Brc1cnc2cnccn12', 'Ic1c[nH]c2ccccc12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1ccc2[nH]ccc2c1']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1cnc2cnccn12', 'OB(O)c1c[nH]c2ccccc12', 'c1cn2ccnc2cn1', 'OB(O)c1c[nH]c2ccccc12', 'c1cn2ccnc2cn1', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1cn2ccnc2cn1']; [0.9999791383743286, 0.9999070167541504, 0.9997393488883972, 0.9985107183456421, 0.9967628717422485, 0.9899314641952515, 0.9810994863510132, 0.969853401184082, 0.9102379679679871, 0.8230738043785095]
+COc1cc(OC)c(-c2cnc3cnccn23)cc1Cl; ['COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Br)cc1Cl', 'Brc1cnc2cnccn12', 'COc1ccc(Cl)c(OC)c1', 'COc1cc(OC)c(Br)cc1Cl']; ['c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'COc1cc(OC)c(Br)cc1Cl', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.998946487903595, 0.9969199299812317, 0.9919614791870117, 0.9804725646972656, 0.9575088024139404]
+CC(C)(C)c1ccc(-c2cnc3cnccn23)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cnccn12', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccccc1']; ['Ic1cnc2cnccn12', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [1.0, 1.0, 0.9999994039535522, 0.9999986886978149, 0.9999930262565613, 0.9999915957450867, 0.9999651908874512, 0.999961256980896, 0.9999604821205139, 0.9996687173843384, 0.99681556224823, 0.98255455493927, 0.9453670978546143]
+COc1cc(-c2cnc3cnccn23)ccc1O; ['Brc1cnc2cnccn12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'Brc1cnc2cnccn12', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'COc1cc(B(O)O)ccc1O', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.9999982118606567, 0.999998152256012, 0.9999873638153076, 0.9999678134918213, 0.9998700618743896, 0.9997690916061401, 0.9997563362121582, 0.999650239944458, 0.9989141821861267]
+c1cc2c(c(-c3cnc4cnccn34)c1)OCO2; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'OB(O)c1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Brc1cnc2cnccn12', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'OB(O)c1cccc2c1OCO2', 'c1ccc2c(c1)OCO2']; [0.9999960660934448, 0.9999804496765137, 0.9999332427978516, 0.9999306797981262, 0.999878466129303, 0.999795138835907, 0.9995853900909424, 0.9992843866348267, 0.9989238977432251, 0.9987590312957764, 0.9983018636703491, 0.8304698467254639]
+c1ccc2ncc(-c3cnc4cnccn34)cc2c1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'OB(O)c1cnc2ccccc2c1', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Brc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'OB(O)c1cnc2ccccc2c1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999973773956299, 0.9999970197677612, 0.9999873638153076, 0.999984860420227, 0.9999567866325378, 0.9999442100524902, 0.9998728036880493, 0.9997053146362305, 0.999320387840271, 0.998773992061615, 0.9954846501350403]
+CN(C)C(=O)c1ccc(-c2cnc3cnccn23)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cnccn12', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cnccn12', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Ic1cnc2cnccn12', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cnccn12', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1']; [1.0, 1.0, 0.9999997019767761, 0.9999663829803467, 0.9999457001686096, 0.999780535697937]
+c1cn2c(-c3scc4c3OCCO4)cnc2cn1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc3cnccn23)cn1; ['Brc1cnc2cnccn12', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Brc1cnc2cnccn12', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CC(C)(C)c1ccc(B(O)O)cn1', 'c1cn2ccnc2cn1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999997615814209, 0.9999995231628418, 0.9999974370002747, 0.9999973773956299, 0.9999905824661255, 0.9999867677688599, 0.9999857544898987, 0.9999827146530151, 0.9998162984848022, 0.999770998954773]
+c1ccc(-c2cc(-c3cnc4cnccn34)n[nH]2)cc1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cnc4cnccn34)nc2c1F; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cnc3cnccn23)c1; ['COc1cccc(C(N)=O)c1']; ['Clc1cnc2cnccn12']; [0.919938325881958]
+c1ccc2sc(-c3cnc4cnccn34)cc2c1; ['Brc1cnc2cnccn12']; ['OB(O)c1cc2ccccc2s1']; [0.9999810457229614]
+CC1(COc2cnc3cnccn23)COC1; ['CC1(CO)COC1', 'CC1(CO)COC1', 'Brc1cnc2cnccn12', 'CC1(CO)COC1']; ['Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CC1(CO)COC1', 'c1cn2ccnc2cn1']; [0.998534083366394, 0.9981427192687988, 0.9976785778999329, 0.9921656847000122]
+CSc1ccc(-c2cnc3cnccn23)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cnccn12', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc([Mg]Br)cc1', 'CSc1ccc(Br)cc1', 'Brc1cnc2cnccn12', 'CSc1ccc(Cl)cc1', 'CSc1ccc(Cl)cc1']; ['Ic1cnc2cnccn12', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CSc1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12', 'CSc1ccc(Br)cc1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999998807907104, 0.9999995231628418, 0.9999977350234985, 0.9999967217445374, 0.9999582767486572, 0.999954342842102, 0.999893307685852, 0.999731183052063, 0.9996896982192993, 0.998465359210968, 0.9972429275512695, 0.9955284595489502, 0.990649938583374, 0.962033212184906]
+Nc1nc(-c2cnc3cnccn23)cs1; [None]; [None]; [0]
+Cc1cc(-c2cnc3cnccn23)nc(N)n1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cnc4cnccn34)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'Brc1cnc2cnccn12', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; [0.9999966621398926, 0.9999903440475464, 0.9998146295547485, 0.9997522830963135, 0.9995008707046509, 0.9993609189987183]
+Fc1ccc(-c2cnc3cnccn23)c(Cl)c1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Ic1cnc2cnccn12', 'Fc1ccc(Br)c(Cl)c1', 'Brc1cnc2cnccn12', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'Brc1cnc2cnccn12', 'Fc1ccc(I)c(Cl)c1', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Fc1ccc(Cl)c(Cl)c1', 'O=C(O)c1ccc(F)cc1Cl']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Clc1cnc2cnccn12', 'OB(O)c1ccc(F)cc1Cl', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(F)cc1Cl', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'Fc1ccc(Br)c(Cl)c1', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc([Mg]Br)c(Cl)c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [1.0, 1.0, 0.9999990463256836, 0.9999986886978149, 0.9999967813491821, 0.9999953508377075, 0.999983549118042, 0.9999828338623047, 0.9999812841415405, 0.9999730587005615, 0.9999498724937439, 0.9997209310531616, 0.9962431192398071, 0.9925276041030884]
+COc1ccc(-c2cnc3cnccn23)cc1OC; ['Brc1cnc2cnccn12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'Brc1cnc2cnccn12', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccccc1OC', 'COc1ccc(Cl)cc1OC']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'Ic1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'COc1ccc(B(O)O)cc1OC', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999989867210388, 0.9999980330467224, 0.9999903440475464, 0.9999896287918091, 0.9999821782112122, 0.9999655485153198, 0.9999326467514038, 0.9998441934585571, 0.9992448091506958, 0.9979754686355591, 0.994245171546936, 0.9075595140457153, 0.8680423498153687]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc3cnccn23)CC1; [None]; [None]; [0]
+CCc1ccc(-c2cnc3cnccn23)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cnccn12', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'Brc1cnc2cnccn12', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CCc1ccc(Cl)cc1', 'CCc1ccc(Cl)cc1']; ['Ic1cnc2cnccn12', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'CCc1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'Clc1cnc2cnccn12', 'CCc1ccc(Br)cc1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999995231628418, 0.9999991655349731, 0.9999936819076538, 0.9999718070030212, 0.999886691570282, 0.999868631362915, 0.9998613595962524, 0.9995997548103333, 0.9993987083435059, 0.9993751049041748, 0.9968703985214233, 0.9840556979179382, 0.9494882822036743]
+COc1ccc(CNc2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12', 'COc1ccc(CN)cc1']; ['COc1ccc(CN)cc1', 'Clc1cnc2cnccn12']; [0.9993110299110413, 0.9957149028778076]
+Clc1ccc(-c2cnc3cnccn23)c(Cl)c1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'Brc1cnc2cnccn12', 'Clc1ccc(I)c(Cl)c1', 'Clc1ccc(Br)c(Cl)c1', 'Clc1cnc2cnccn12', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1cccc(Cl)c1']; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OB(O)c1ccc(Cl)cc1Cl', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(Cl)cc1Cl', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'OB(O)c1ccc(Cl)cc1Cl', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999974966049194, 0.9999964833259583, 0.9999797940254211, 0.9999775886535645, 0.9999164342880249, 0.9998992681503296, 0.999897301197052, 0.9998650550842285, 0.9994643330574036, 0.9991183876991272, 0.978887677192688, 0.967934787273407, 0.8356753587722778]
+O=C1CCc2cc(-c3cnc4cnccn34)ccc2N1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3cnc4cnccn34)n2)c1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
+Brc1cnc(-c2cnc3cnccn23)nc1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2cnc3cnccn23)C1; [None]; [None]; [0]
+c1ccn2nc(-c3cnc4cnccn34)cc2c1; ['Brc1cc2ccccn2n1', 'Brc1cnc2cnccn12', 'Brc1cc2ccccn2n1']; ['Clc1cnc2cnccn12', 'Clc1cc2ccccn2n1', 'Brc1cnc2cnccn12']; [0.9999842643737793, 0.9998759627342224, 0.9996576309204102]
+COc1ccc2cccc(-c3cnc4cnccn34)c2c1; ['COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(Br)c2c1']; ['c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999375939369202, 0.9989371299743652]
+CC1(C)Cc2cc(-c3cnc4cnccn34)ccc2O1; [None]; [None]; [0]
+Cn1cc(-c2cnc3cnccn23)c(C(F)(F)F)n1; ['Brc1cnc2cnccn12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Clc1cnc2cnccn12', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Brc1cnc2cnccn12', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Clc1cnc2cnccn12', 'Cn1ccc(C(F)(F)F)n1', 'Cn1cc(Cl)c(C(F)(F)F)n1', 'Cn1cc(Cl)c(C(F)(F)F)n1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Ic1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'O=C(O)c1cnc2cnccn12', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [1.0, 0.9999998807907104, 0.9999992251396179, 0.9999978542327881, 0.999997079372406, 0.9999969601631165, 0.9999967217445374, 0.9999942779541016, 0.9999940991401672, 0.9999710321426392, 0.9999547004699707, 0.9999083280563354, 0.9998302459716797, 0.9998277425765991]
+Oc1ccc2cccc(-c3cnc4cnccn34)c2c1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Oc1ccc2cccc(Br)c2c1', 'Oc1ccc2cccc(I)c2c1']; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.9999955892562866, 0.9999944567680359, 0.999954104423523, 0.9988676309585571, 0.9971925020217896]
+COc1cc(-c2cnc3cnccn23)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'Brc1cnc2cnccn12', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'COc1cc(Br)ccc1N1CCOCC1']; [0.9999998807907104, 0.999998152256012, 0.9999960660934448, 0.9999685883522034, 0.9997879266738892]
+COc1cc(-c2cnc3cnccn23)ccc1Cl; ['Brc1cnc2cnccn12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'Brc1cnc2cnccn12', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'Ic1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'COc1cc(B(O)O)ccc1Cl', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [1.0, 1.0, 0.9999996423721313, 0.9999994039535522, 0.9999989867210388, 0.9999984502792358, 0.9999966025352478, 0.9999940395355225, 0.9999873638153076, 0.999969482421875, 0.9736396670341492, 0.9157639741897583]
+c1cc2cnc(-c3cnc4cnccn34)nn2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cnc3cnccn23)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'Brc1cnc2cnccn12', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'Brc1cnc2cnccn12', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'Brc1cnc2cnccn12', 'COc1cc(F)c(Br)cc1OC']; ['Ic1cnc2cnccn12', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'COc1cc(F)c(B(O)O)cc1OC', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'COc1cc(F)c(Br)cc1OC', 'O=C(O)c1cnc2cnccn12']; [0.9999996423721313, 0.9999992847442627, 0.999996542930603, 0.9999951124191284, 0.999988853931427, 0.9999884366989136, 0.9999605417251587, 0.9999580383300781, 0.9998913407325745, 0.9998629689216614, 0.9996999502182007]
+Cc1nc(Nc2cnc3cnccn23)sc1C; ['Cc1nc(N)sc1C']; ['Clc1cnc2cnccn12']; [0.9998172521591187]
+OCCn1cc(-c2cnc3cnccn23)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'OCCn1cc(I)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Clc1cnc2cnccn12', 'OCCn1cc(Br)cn1', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'OCCn1cc(B(O)O)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'OCCn1cc(B(O)O)cn1', 'c1cn2ccnc2cn1', 'OCCn1cc(B(O)O)cn1']; [0.9999979734420776, 0.9999879002571106, 0.9999412298202515, 0.9999108910560608, 0.9997612237930298, 0.9991234540939331, 0.9989131093025208, 0.9978275299072266]
+Cc1cc(Nc2cnc3cnccn23)nn1C; ['Cc1cc(N)nn1C', 'Brc1cnc2cnccn12']; ['Clc1cnc2cnccn12', 'Cc1cc(N)nn1C']; [0.9996899962425232, 0.9991892576217651]
+CNC(=O)c1ccc(-c2cnc3cnccn23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cnccn12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Ic1cnc2cnccn12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CNC(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2cnccn12']; [1.0, 0.9999995827674866, 0.9999983310699463, 0.999997615814209, 0.999885082244873, 0.9998541474342346]
+Cc1csc2c(-c3cnc4cnccn34)ncnc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3cnccn23)nc1; ['Brc1cnc2cnccn12']; ['CCNC(=O)c1ccc(Br)nc1']; [0.999883770942688]
+O=C(Nc1cnc2cnccn12)c1ccco1; ['Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['NC(=O)c1ccco1', 'NC(=O)c1ccco1']; [0.9893444776535034, 0.9863361120223999]
+NC(=O)c1ccc(Cc2cnc3cnccn23)cc1; ['Clc1cnc2cnccn12']; ['NC(=O)c1ccc(CBr)cc1']; [0.9622694253921509]
+Clc1cnc(-c2cnc3cnccn23)nc1; [None]; [None]; [0]
 Nc1cc(-c2cnc3cnccn23)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1cc(-c2cnc3cnccn23)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'Brc1cnc2cnccn12', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'COc1cc(OC)cc(B(O)O)c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999983906745911, 0.9999982714653015, 0.9999958276748657, 0.9999842643737793, 0.99996417760849, 0.9999476671218872, 0.9997307062149048, 0.9996867775917053, 0.9996659159660339, 0.9975855350494385, 0.997413158416748, 0.9774722456932068]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cnc3cnccn23)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cnc3cnccn13)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cnc3cnccn23)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cnc4cnccn34)[nH]c2c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cnc3cnccn13)cn2C; ['COc1ccc2c(ccn2C)c1']; ['c1cn2ccnc2cn1']; [0.9993440508842468]
+COc1ccc2oc(-c3cnc4cnccn34)cc2c1; ['Brc1cnc2cnccn12']; ['COc1ccc2oc(B(O)O)cc2c1']; [0.9994374513626099]
+O=S(=O)(CCO)c1ccc(Cc2cnc3cnccn23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12', 'CC(C)(C)c1ccc(C(N)=O)cc1']; ['CC(C)(C)c1ccc(C(N)=O)cc1', 'Clc1cnc2cnccn12']; [0.9919875860214233, 0.8432629704475403]
+c1cn2c(-c3ccc4cn[nH]c4c3)cnc2cn1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Brc1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999997615814209, 0.9999992847442627, 0.9999963045120239, 0.9999961853027344, 0.999992847442627, 0.9999719858169556, 0.9995051622390747, 0.9994286894798279, 0.9984529614448547, 0.9254458546638489]
+CCNC(=O)N1CCC(c2cnc3cnccn23)CC1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnc3cnccn23)CC1; [None]; [None]; [0]
+CCn1cc(-c2cnc3cnccn23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1cnc2cnccn12', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Cl)cn1', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'CCn1cc(B(O)O)cn1']; [0.9999972581863403, 0.9999727010726929, 0.9999584555625916, 0.9999299645423889, 0.9998924732208252, 0.9993892908096313, 0.9986798167228699, 0.9971421957015991, 0.9945492744445801]
+c1ccc2oc(-c3cnc4cnccn34)cc2c1; ['Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1']; [0.9998047351837158, 0.9994872212409973]
+COc1ccc2nc(-c3cnc4cnccn34)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1']; ['O=C(O)c1cnc2cnccn12', 'N#Cc1cnc2cnccn12', 'O=Cc1cnc2cnccn12']; [0.9999585747718811, 0.9999377131462097, 0.9998013973236084]
+C[NH+](C)Cc1ccc(-c2cnc3cnccn23)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cnc3cnccn23)c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3cnc4cnccn34)c2)c1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cnc3cnccn23)c1; ['COc1ccc(F)c(C(N)=O)c1']; ['Clc1cnc2cnccn12']; [0.9991051554679871]
+FC(F)(F)Oc1ccc(-c2cnc3cnccn23)cc1; ['FC(F)(F)Oc1ccc(Br)cc1', 'Brc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Clc1cnc2cnccn12', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1']; ['c1cn2ccnc2cn1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9999998211860657, 0.9999998211860657, 0.9999997615814209, 0.9999991655349731, 0.9999930262565613, 0.999955415725708]
+O=C(Nc1cccc(-c2cnc3cnccn23)c1)N1CCCC1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1ccn(C)n1']; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Ic1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999947547912598, 0.9999927282333374, 0.9999920129776001, 0.9996093511581421, 0.9995251893997192, 0.9992077946662903, 0.9985218048095703, 0.9958384037017822]
+c1cn2c(-c3ncc4sccc4n3)cnc2cn1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cnc2cnccn12; [None]; [None]; [0]
+Cn1cc(-c2cnc3cnccn23)c2ccccc21; ['Brc1cnc2cnccn12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Clc1cnc2cnccn12', 'Cn1ccc2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1cnc2cnccn12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'c1cn2ccnc2cn1']; [0.9999994039535522, 0.999998152256012, 0.9999639987945557, 0.8987825512886047]
+CCc1cccc(-c2cnc3cnccn23)n1; ['CCc1cccc(Br)n1', 'CCc1cccc(Br)n1', 'Brc1cnc2cnccn12', 'Brc1cnc2cnccn12']; ['c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'CCc1cccc(Br)n1', 'CCc1ccccn1']; [0.9999322891235352, 0.9996291399002075, 0.9976745843887329, 0.9095960855484009]
+Cc1n[nH]c2cc(-c3cnc4cnccn34)ccc12; ['Brc1cnc2cnccn12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Brc1cnc2cnccn12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999995827674866, 0.9999990463256836, 0.9999990463256836, 0.9999974966049194, 0.9999897480010986, 0.9999879598617554, 0.9971311092376709]
 c1cn2c(-c3ncn4c3CCCC4)cnc2cn1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cnc4cnccn34)cn2)CC1; ['Brc1cnc2cnccn12', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'Clc1cnc2cnccn12']; [0.999994158744812, 0.9999852180480957]
+CN(C)c1ccc(-c2cnc3cnccn23)cn1; ['Brc1cnc2cnccn12', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1cnc2cnccn12', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'Brc1cnc2cnccn12', 'CN(C)c1ccc(I)cn1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'CN(C)c1ccc(B(O)O)cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'CN(C)c1ccc(Br)cn1', 'c1cn2ccnc2cn1']; [0.9999996423721313, 0.9999996423721313, 0.9999960064888, 0.9999950528144836, 0.9999903440475464, 0.9999691247940063, 0.9999659061431885, 0.999297022819519, 0.9990919828414917, 0.9981707334518433]
+O=C(Nc1cnc2cnccn12)c1cccc(OC(F)(F)F)c1; ['Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['NC(=O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1']; [0.9999925494194031, 0.9999191761016846]
+Cn1ncc2cc(-c3cnc4cnccn34)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Brc1cnc2cnccn12', 'Cn1ncc2cc(B(O)O)ccc21', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Brc1cnc2cnccn12', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(Cl)ccc21']; ['Ic1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'c1cn2ccnc2cn1', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'Cn1ncc2cc(Br)ccc21', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [1.0, 1.0, 1.0, 1.0, 1.0, 0.9999996423721313, 0.999998927116394, 0.9999977350234985, 0.9999755620956421, 0.9999634027481079, 0.9997241497039795, 0.9984023571014404, 0.9963235855102539]
+O=C1CCCN1c1cccc(-c2cnc3cnccn23)c1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Brc1cnc2cnccn12', 'O=C1CCCN1c1cccc(Br)c1', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'c1cn2ccnc2cn1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999998211860657, 0.9999983310699463, 0.9999973773956299, 0.9999427795410156, 0.9980833530426025]
+CC(C)(O)c1ccc2cc(-c3cnc4cnccn34)[nH]c2c1; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cnc4cnccn34)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cnc4cnccn34)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1cnc2cnccn12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+OCCc1ccc(-c2cnc3cnccn23)cc1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Brc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'OCCc1ccc(B(O)O)cc1', 'Clc1cnc2cnccn12', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.9999994039535522, 0.9999984502792358, 0.999987781047821, 0.9999873638153076, 0.999904990196228, 0.9997150301933289, 0.9947053790092468, 0.9926671981811523]
 Cc1ncc(-c2ccc(-c3cnc4cnccn34)cc2)n1C; [None]; [None]; [0]
+Cc1cc(-c2cnc3cnccn23)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc3cnccn23)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Brc1cnc2cnccn12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Ic1cnc2cnccn12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Clc1cnc2cnccn12']; [0.9999967813491821, 0.9999785423278809, 0.999970018863678]
 COc1cc(-c2cnn(C)c2)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc3cnccn23)c(Cl)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3cnccn23)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'CCNC(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2cnccn12', 'CCNC(=O)c1ccc(Br)cc1']; [0.9999982714653015, 0.9999827146530151, 0.9999816417694092, 0.9999352693557739, 0.9965606927871704]
 COc1cc(S(C)(=O)=O)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
+Cc1cc(Nc2cnc3cnccn23)ncc1F; ['Brc1cnc2cnccn12', 'Cc1cc(N)ncc1F']; ['Cc1cc(N)ncc1F', 'Clc1cnc2cnccn12']; [0.9997973442077637, 0.9985187649726868]
+c1ccc(Nc2cnc3cnccn23)nc1; ['Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Nc1ccccn1', 'Nc1ccccn1']; [0.9998645782470703, 0.9992035627365112]
+CN(C)C(=O)c1ccc(-c2cnc3cnccn23)nc1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cnc2cnccn12; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cnc3cnccn23)cc1; ['CCNC(=O)Cc1ccc(Br)cc1', 'Brc1cnc2cnccn12']; ['c1cn2ccnc2cn1', 'CCNC(=O)Cc1ccc(Br)cc1']; [0.9974789023399353, 0.996921181678772]
+Fc1ccc(Nc2cnc3cnccn23)nc1; ['Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1']; [0.9999363422393799, 0.9999351501464844, 0.9999258518218994]
 Cn1nc(-c2cnc3cnccn23)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2cnc3cnccn23)ncc1F; [None]; [None]; [0]
-Oc1ccc(-c2ccc(-c3cnc4cnccn34)cc2)c(O)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnc3cnccn23)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'Brc1cnc2cnccn12', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Cl)c1']; ['c1cn2ccnc2cn1', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999980926513672, 0.9999334812164307, 0.999859094619751, 0.999017596244812]
+Oc1cc(-c2cnc3cnccn23)ccc1Cl; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl']; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'OB(O)c1ccc(Cl)c(O)c1', 'OB(O)c1ccc(Cl)c(O)c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.9999960660934448, 0.9999955892562866, 0.9999803304672241, 0.9999631643295288, 0.999856173992157, 0.9989721775054932, 0.9977824687957764]
+Fc1ccc(Oc2cnc3cnccn23)cc1; ['Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9997541904449463, 0.9992036819458008]
+Clc1cccc(Cl)c1-c1cnc2cnccn12; ['Ic1cnc2cnccn12', 'OB(O)c1c(Cl)cccc1Cl', 'Brc1cnc2cnccn12', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cnc2cnccn12', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1', 'Clc1cccc(Cl)c1Cl']; ['OB(O)c1c(Cl)cccc1Cl', 'c1cn2ccnc2cn1', 'OB(O)c1c(Cl)cccc1Cl', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'OB(O)c1c(Cl)cccc1Cl', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999607801437378, 0.9999183416366577, 0.9999141097068787, 0.9998880624771118, 0.9993691444396973, 0.9988582134246826, 0.9960386753082275, 0.990301251411438, 0.9851515293121338, 0.9137271642684937]
+Clc1ccc2c(c1-c1cnc3cnccn13)OCO2; ['Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'OB(O)c1c(Cl)ccc2c1OCO2', 'Clc1cnc2cnccn12', 'Clc1ccc2c(c1)OCO2']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2', 'c1cn2ccnc2cn1', 'OB(O)c1c(Cl)ccc2c1OCO2', 'c1cn2ccnc2cn1']; [0.9999740123748779, 0.9999722242355347, 0.9999656677246094, 0.9993453025817871, 0.9834247827529907]
+c1cc(-c2cnc3cnccn23)c2cccnc2c1; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OB(O)c1cccc2ncccc12', 'Br[Mg]c1cccc2ncccc12', 'Br[Mg]c1cccc2ncccc12', 'Brc1cccc2ncccc12', 'Brc1cccc2ncccc12', 'Brc1cccc2ncccc12', 'Clc1cccc2ncccc12', 'Ic1cccc2ncccc12', 'Clc1cccc2ncccc12']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'OB(O)c1cccc2ncccc12', 'Clc1cnc2cnccn12', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Brc1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999964833259583, 0.9999924898147583, 0.9999701976776123, 0.9999691247940063, 0.9996778964996338, 0.9995896816253662, 0.999298095703125, 0.9992327690124512, 0.9979117512702942, 0.9964685440063477, 0.9944930672645569, 0.9772313237190247, 0.9314374923706055, 0.9109318256378174, 0.7883460521697998]
+NC(=O)c1ccc(-c2cnc3cnccn23)c(F)c1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Ic1cnc2cnccn12', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'Clc1cnc2cnccn12', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1']; [0.9999990463256836, 0.9999979734420776, 0.9999898672103882, 0.9999886155128479, 0.9999265670776367, 0.9999024868011475]
+CNC(=O)c1ccc(C)c(-c2cnc3cnccn23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cnc2cnccn12; [None]; [None]; [0]
+Oc1ccc(-c2cnc3cnccn23)c(Cl)c1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Ic1cnc2cnccn12', 'Oc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(O)cc1Cl', 'Brc1cnc2cnccn12', 'Oc1ccc(I)c(Cl)c1', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12']; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OB(O)c1ccc(O)cc1Cl', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(O)cc1Cl', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1']; [0.9999942779541016, 0.9999758005142212, 0.9999356865882874, 0.9998540282249451, 0.9998041391372681, 0.9998008012771606, 0.9995355606079102, 0.9987177848815918, 0.9976413249969482, 0.9963259696960449]
+COc1cc(C(N)=O)ccc1-c1cnc2cnccn12; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2cnccn12', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; ['Ic1cnc2cnccn12', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999967813491821, 0.999995231628418, 0.9999918937683105, 0.9980676174163818]
+c1ccc2c(-c3cnc4cnccn34)n[nH]c2c1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3cnccn23)c(F)c1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Brc1cnc2cnccn12', 'Oc1ccc(Br)c(F)c1', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(Cl)c(F)c1']; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Ic1cnc2cnccn12', 'OB(O)c1ccc(O)cc1F', 'Clc1cnc2cnccn12', 'OB(O)c1ccc(O)cc1F', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Br)c(F)c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.9999952912330627, 0.9999899864196777, 0.9999785423278809, 0.9999092817306519, 0.9998043179512024, 0.9997318387031555, 0.999661922454834, 0.9981712102890015, 0.9974991083145142, 0.9949585199356079]
+Nc1nccc(-c2cnc3cnccn23)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2cnccn12', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br', 'Brc1cnc2cnccn12', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1Cl']; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'COc1ccc(F)cc1B(O)O', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'COc1ccc(F)cc1[Mg]Br', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999996423721313, 0.9999979734420776, 0.999994158744812, 0.9999929666519165, 0.9999836683273315, 0.9999819397926331, 0.999945878982544, 0.9999212622642517, 0.9999203681945801, 0.99966961145401, 0.9994394779205322, 0.9992901086807251, 0.9981310963630676]
+Cc1nc2c(F)cc(-c3cnc4cnccn34)cc2[nH]1; [None]; [None]; [0]
+Brc1cccc(-c2cnc3cnccn23)c1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cnc2cnccn12', 'OB(O)c1cccc(Br)c1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Brc1cccc(I)c1', 'Clc1cccc(Br)c1', 'Brc1cnc2cnccn12', 'Brc1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'c1cn2ccnc2cn1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'OB(O)c1cccc(Br)c1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999994039535522, 0.9999955296516418, 0.9999926090240479, 0.9999918937683105, 0.9999911785125732, 0.9999574422836304, 0.9999439716339111, 0.9997120499610901, 0.9996691942214966, 0.9990900754928589, 0.9957906007766724]
+c1ccc2cc(-c3cnc4cnccn34)ccc2c1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1cnc2cnccn12', 'OB(O)c1ccc2ccccc2c1', 'Clc1cnc2cnccn12', 'Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Ic1cnc2cnccn12', 'OB(O)c1ccc2ccccc2c1', 'Clc1cnc2cnccn12', 'OB(O)c1ccc2ccccc2c1', 'c1cn2ccnc2cn1', 'OB(O)c1ccc2ccccc2c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999988079071045, 0.9999987483024597, 0.999997615814209, 0.9999927282333374, 0.9999866485595703, 0.9999426603317261, 0.9999390244483948, 0.9998191595077515, 0.9994116425514221, 0.9990594387054443, 0.9878551959991455, 0.9536728262901306]
+Clc1[nH]ncc1-c1cnc2cnccn12; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cnc3cnccn23)o1; ['COC(=O)c1ccc(B(O)O)o1']; ['Clc1cnc2cnccn12']; [0.997635006904602]
+COc1cc(F)ccc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1I', 'Brc1cnc2cnccn12', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B(O)O', 'Brc1cnc2cnccn12', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1C(=O)O']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'COc1cc(F)ccc1B(O)O', 'Clc1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'COc1cc(F)ccc1Br', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999994039535522, 0.9999980330467224, 0.999995231628418, 0.9999867081642151, 0.9999836683273315, 0.9999831914901733, 0.999977707862854, 0.9999738931655884, 0.9999406933784485, 0.9999381899833679, 0.9999118447303772, 0.9998362064361572, 0.9990558624267578, 0.9975966215133667]
+Oc1ccc(-c2ccc(-c3cnc4cnccn34)cc2)c(O)c1; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Brc1cnc2cnccn12']; ['c1cn2ccnc2cn1', 'Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; [0.9894245862960815, 0.9638450145721436]
+Oc1ccc(-c2cnc3cnccn23)cc1F; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Brc1cnc2cnccn12', 'OB(O)c1ccc(O)c(F)c1', 'Clc1cnc2cnccn12', 'Oc1ccc(Br)cc1F', 'Oc1ccccc1F']; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'OB(O)c1ccc(O)c(F)c1', 'Clc1cnc2cnccn12', 'OB(O)c1ccc(O)c(F)c1', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(O)c(F)c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.9999997615814209, 0.9999996423721313, 0.9999978542327881, 0.9999967813491821, 0.9999966621398926, 0.9999948740005493, 0.9999876022338867, 0.9999637007713318, 0.8064911365509033]
+Oc1ccc(-c2cnc3cnccn23)c(O)c1; ['Oc1ccc(Br)c(O)c1', 'Brc1cnc2cnccn12', 'Oc1cccc(O)c1']; ['c1cn2ccnc2cn1', 'Oc1ccc(Br)c(O)c1', 'c1cn2ccnc2cn1']; [0.9974402189254761, 0.958428144454956, 0.8379964232444763]
+Fc1ccc(-c2cnc3cnccn23)cc1Cl; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Fc1ccc(Br)cc1Cl', 'Brc1cnc2cnccn12', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Clc1cnc2cnccn12', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccccc1Cl']; ['Ic1cnc2cnccn12', 'OB(O)c1ccc(F)c(Cl)c1', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(F)c(Cl)c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'OB(O)c1ccc(F)c(Cl)c1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [1.0, 1.0, 1.0, 1.0, 0.9999996423721313, 0.9999995231628418, 0.9999980926513672, 0.9999979734420776, 0.9999971985816956, 0.9999969005584717, 0.9976972341537476, 0.9954218864440918, 0.9484254121780396]
+COc1cc(CCc2cnc3cnccn23)ccc1O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cnc3cnccn23)c1; [None]; [None]; [0]
 c1cnn2ncc(-c3cnc4cnccn34)c2c1; [None]; [None]; [0]
+Clc1ccccc1OCc1cnc2cnccn12; [None]; [None]; [0]
+c1cc2c(-c3cnc4cnccn34)c[nH]c2cn1; [None]; [None]; [0]
+Nc1cc(-c2cnc3cnccn23)ccn1; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12', 'Oc1ccc(Cl)c(Br)c1', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'c1cn2ccnc2cn1', 'OB(O)c1cc(O)ccc1Cl', 'OB(O)c1cc(O)ccc1Cl', 'OB(O)c1cc(O)ccc1Cl']; [0.9999746084213257, 0.9989032745361328, 0.9985378980636597, 0.9982173442840576, 0.9883201122283936]
+Cc1ccc2[nH]ncc2c1-c1cnc2cnccn12; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2cnccn12', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2cnccn12', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1Br', 'Brc1cnc2cnccn12', 'Cc1ccc2[nH]ncc2c1I']; ['Ic1cnc2cnccn12', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cnccn12', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Cc1ccc2[nH]ncc2c1Br', 'c1cn2ccnc2cn1']; [0.9999992847442627, 0.999998927116394, 0.9999935626983643, 0.999733030796051, 0.9994776248931885, 0.9991312623023987, 0.9962040185928345, 0.9956328868865967, 0.9943375587463379, 0.9923044443130493, 0.9908732175827026]
+Oc1ncc(-c2cnc3cnccn23)cc1Cl; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(I)cc1Cl', 'Oc1ncccc1Cl']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.9999979734420776, 0.9999977946281433, 0.9999876618385315, 0.997097373008728, 0.9878670573234558, 0.9826961755752563]
+NC(=O)c1cc(-c2cnc3cnccn23)c[nH]1; ['NC(=O)c1cc(Br)c[nH]1']; ['c1cn2ccnc2cn1']; [0.9800025224685669]
+CCOc1cccc(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'Brc1cnc2cnccn12', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(Br)c1', 'Brc1cnc2cnccn12', 'CCOc1cccc(I)c1', 'CCOc1cccc(Br)c1', 'Brc1cnc2cnccn12']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CCOc1cccc(B(O)O)c1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'CCOc1cccc(Br)c1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'CCOc1cccc([Mg]Br)c1']; [0.9999991655349731, 0.9999978542327881, 0.9999786019325256, 0.9999744892120361, 0.9999688863754272, 0.9998676776885986, 0.9997146129608154, 0.9996851682662964, 0.9994121193885803, 0.9989174604415894, 0.9987159967422485, 0.9976792335510254, 0.9968959093093872]
+Cc1ccc(CO)cc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1B(O)O', 'Brc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Cl']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Ic1cnc2cnccn12', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Br', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999957084655762, 0.9999852180480957, 0.9999432563781738, 0.9989035725593567, 0.9986371994018555, 0.9982798099517822, 0.9975219964981079, 0.9962087273597717, 0.9902870655059814, 0.9809673428535461]
+Cc1nc2ccc(-c3cnc4cnccn34)cc2[nH]1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Brc1cnc2cnccn12', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1']; ['Ic1cnc2cnccn12', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Clc1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12']; [0.9999997019767761, 0.9999995231628418, 0.9999979734420776, 0.9995117783546448, 0.999321699142456, 0.8543294668197632]
+c1cn2c(-c3cnc4[nH]ccc4c3)cnc2cn1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1cnc2cnccn12', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 0.9999994039535522, 0.9999979734420776, 0.999997615814209, 0.9999783039093018, 0.9999661445617676]
+NC(=O)Nc1ccc(-c2cnc3cnccn23)cc1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'Clc1cnc2cnccn12']; [1.0, 0.9999988079071045, 0.9999973773956299]
+Fc1ccc(-c2nc[nH]c2-c2cnc3cnccn23)cc1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cnc4cnccn34)ccc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnc3cnccn23)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'c1cn2ccnc2cn1']; [1.0, 1.0, 0.9999996423721313, 0.9999994039535522, 0.9999808073043823, 0.9999703764915466, 0.999936044216156, 0.9999287724494934, 0.9999046325683594, 0.9980039596557617, 0.9967290163040161]
+Oc1cncc(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Oc1cncc(I)c1']; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OB(O)c1cncc(O)c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'c1cn2ccnc2cn1']; [0.99996018409729, 0.9998795986175537, 0.9996237754821777, 0.998940110206604, 0.998481273651123, 0.9972859621047974, 0.996321439743042, 0.996062159538269, 0.9904072880744934]
+COc1cc(CCc2cnc3cnccn23)cc(OC)c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3cnc4cnccn34)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'Clc1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12', 'O=C1Cc2cc(I)ccc2N1', 'Brc1cnc2cnccn12', 'O=C1Cc2cc(Cl)ccc2N1']; ['Ic1cnc2cnccn12', 'O=C1Cc2cc(B(O)O)ccc2N1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Clc1cnc2cnccn12', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'c1cn2ccnc2cn1', 'O=C1Cc2cc(Br)ccc2N1', 'c1cn2ccnc2cn1']; [0.9999935626983643, 0.9999871253967285, 0.9999645948410034, 0.9999555349349976, 0.9997450113296509, 0.999634861946106, 0.999617338180542, 0.9994969367980957, 0.9992871880531311, 0.9979135990142822, 0.9966535568237305, 0.9949387907981873, 0.9679973125457764]
+CCc1cc(O)ccc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12']; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; [0.9999532699584961]
+c1ccc2sc(-c3cnc4cnccn34)nc2c1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'CCc1cc(O)c(F)cc1Br']; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'c1cn2ccnc2cn1']; [0.9999996423721313, 0.9998232126235962]
+CN(c1cccc(Cl)c1)c1cnc2cnccn12; ['CNc1cccc(Cl)c1', 'Brc1cnc2cnccn12']; ['Clc1cnc2cnccn12', 'CNc1cccc(Cl)c1']; [0.9946284294128418, 0.9761642813682556]
+CNc1nccc(-c2cnc3cnccn23)n1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cnc4cnccn34)ccc12; [None]; [None]; [0]
-Oc1cc(-c2cnc3cnccn23)nc2ccnn12; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cnc2cnccn12; ['Brc1cnc2cnccn12', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B(O)O', 'Brc1cnc2cnccn12', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1I']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Cc1cc(O)ccc1B(O)O', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.9999885559082031, 0.9999524354934692, 0.9999226927757263, 0.9997318387031555, 0.9980063438415527, 0.9974762201309204, 0.9973196983337402, 0.9464747905731201]
+CCc1sccc1-c1cnc2cnccn12; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1cnc2cnccn12; [None]; [None]; [0]
+Clc1cnccc1-c1cnc2cnccn12; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Brc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Brc1cnc2cnccn12', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1I', 'Clc1cnccc1Br', 'Clc1cnc2cnccn12', 'Clc1ccncc1Cl', 'Clc1cnccc1Br', 'Clc1ccncc1Cl']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'OB(O)c1ccncc1Cl', 'Clc1cnc2cnccn12', 'OB(O)c1ccncc1Cl', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'OB(O)c1ccncc1Cl', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12']; [0.9999861717224121, 0.9999575614929199, 0.9998103380203247, 0.9996358752250671, 0.9994475841522217, 0.9992574453353882, 0.999046266078949, 0.9989845752716064, 0.9915720224380493, 0.9810696840286255, 0.9714831709861755, 0.8553752899169922]
+FC(F)c1cc(-c2cnc3cnccn23)[nH]n1; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2cnc3cnccn23)cc1Cl; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Brc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9999876618385315, 0.9999856948852539, 0.999453604221344, 0.9985043406486511, 0.9975545406341553]
+Cc1n[nH]c(-c2cnc3cnccn23)c1C; [None]; [None]; [0]
+c1cc(Nc2cnc3cnccn23)ccn1; ['Clc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Ic1cnc2cnccn12']; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1']; [0.9994684457778931, 0.999463677406311, 0.998694121837616]
+c1cn2c(-c3ccc4c(c3)CCN4)cnc2cn1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Brc1ccc2c(c1)CCN2', 'Brc1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Clc1cnc2cnccn12', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'c1cn2ccnc2cn1', 'Brc1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999991655349731, 0.999998152256012, 0.9999945163726807, 0.9999902248382568, 0.9997462034225464, 0.999585747718811, 0.9974021911621094, 0.9938456416130066, 0.9842183589935303]
+O=c1[nH]c2ccc(-c3cnc4cnccn34)cc2[nH]1; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Brc1cnc2cnccn12', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'Clc1cnc2cnccn12', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=C(O)c1cnc2cnccn12', 'O=c1[nH]c2ccc(I)cc2[nH]1']; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Ic1cnc2cnccn12', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'Clc1cnc2cnccn12', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'c1cn2ccnc2cn1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'c1cn2ccnc2cn1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'c1cn2ccnc2cn1']; [0.9999974370002747, 0.9999966621398926, 0.9999957084655762, 0.9999891519546509, 0.9999881982803345, 0.9999841451644897, 0.9999587535858154, 0.99992835521698, 0.9994498491287231, 0.9993536472320557]
+Fc1cc(Br)ccc1-c1cnc2cnccn12; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Brc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Fc1cc(Br)ccc1I', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1Cl', 'Brc1cnc2cnccn12', 'Brc1cnc2cnccn12']; ['Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br']; [0.9999974966049194, 0.9999929666519165, 0.9999903440475464, 0.9999843835830688, 0.9999301433563232, 0.999782919883728, 0.9995133876800537, 0.9995026588439941, 0.9994168877601624, 0.9992564916610718, 0.9982905387878418, 0.9955043792724609]
+CNc1nc(-c2cnc3cnccn23)ncc1F; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2cnc3cnccn23)c1; ['CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Oc1cc(Br)cc(Br)c1']; ['Ic1cnc2cnccn12', 'OB(O)c1cc(O)cc(Br)c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'OB(O)c1cc(O)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'c1cn2ccnc2cn1']; [0.9999968409538269, 0.9999889135360718, 0.9999655485153198, 0.9998835325241089, 0.9981751441955566, 0.9806605577468872]
 Cc1oc(-c2cnc3cnccn23)cc1C(=O)[O-]; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)c1cnc2cnccn12; [None]; [None]; [0]
+Oc1cc(-c2cnc3cnccn23)nc2ccnn12; [None]; [None]; [0]
+Cc1cc(-c2cnc3cnccn23)ccc1C(N)=O; ['Brc1cnc2cnccn12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12']; [1.0, 1.0, 1.0]
+Cc1cc(-c2cnc3cnccn23)cc(C)c1O; ['Brc1cnc2cnccn12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Brc1cnc2cnccn12', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(I)cc(C)c1O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Ic1cnc2cnccn12', 'Cc1cc(B(O)O)cc(C)c1O', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.999980092048645, 0.9999513030052185, 0.9998658895492554, 0.9988271594047546, 0.9982279539108276, 0.9948738813400269, 0.9947404861450195, 0.9928961396217346, 0.9725449085235596, 0.9720920324325562]
+CN(c1cccc2[nH]ncc12)c1cnc2cnccn12; ['CNc1cccc2[nH]ncc12', 'Brc1cnc2cnccn12']; ['Clc1cnc2cnccn12', 'CNc1cccc2[nH]ncc12']; [0.9979537725448608, 0.9910929203033447]
+O=C(NC1CC1)c1ccc(-c2cnc3cnccn23)cc1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Brc1cnc2cnccn12', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'Brc1cnc2cnccn12', 'O=C(NC1CC1)c1ccc(Br)cc1']; ['Ic1cnc2cnccn12', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Clc1cnc2cnccn12', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'c1cn2ccnc2cn1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'c1cn2ccnc2cn1']; [1.0, 1.0, 0.9999995231628418, 0.9999992251396179, 0.9999829530715942, 0.9999812841415405, 0.9999717473983765, 0.9970927238464355, 0.9966893792152405]
+Cc1nc2ccc(-c3cnc4cnccn34)cc2o1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Brc1cnc2cnccn12', 'Cc1nc2ccc(B(O)O)cc2o1', 'Brc1cnc2cnccn12', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; ['Ic1cnc2cnccn12', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Clc1cnc2cnccn12', 'Cc1nc2ccc(B(O)O)cc2o1', 'O=C(O)c1cnc2cnccn12', 'c1cn2ccnc2cn1']; [0.9999997615814209, 0.9999997019767761, 0.9999994039535522, 0.9999992847442627, 0.9999988079071045, 0.9999972581863403, 0.9998172521591187, 0.9997879266738892]
+Fc1ccc2n[nH]c(-c3cnc4cnccn34)c2c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnc2cnccn12; [None]; [None]; [0]
+CSc1cccc(-c2cnc3cnccn23)c1; ['Brc1cnc2cnccn12', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'Brc1cnc2cnccn12', 'CSc1cccc(Br)c1', 'CSc1cccc([Mg]Br)c1', 'Brc1cnc2cnccn12', 'CSc1cccc(Cl)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Cl)c1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'CSc1cccc(B(O)O)c1', 'c1cn2ccnc2cn1', 'Clc1cnc2cnccn12', 'CSc1cccc(Br)c1', 'c1cn2ccnc2cn1', 'O=C(O)c1cnc2cnccn12', 'O=C(O)c1cnc2cnccn12']; [0.9999991655349731, 0.9999986886978149, 0.999997615814209, 0.999927282333374, 0.9999041557312012, 0.9998573064804077, 0.9998515844345093, 0.9993292689323425, 0.9973427057266235, 0.9931377172470093, 0.9930338859558105, 0.9926425218582153, 0.9483584761619568]
+Oc1c(F)cc(-c2cnc3cnccn23)cc1F; ['Brc1cnc2cnccn12', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(I)cc1F', 'Brc1cnc2cnccn12']; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Ic1cnc2cnccn12', 'Clc1cnc2cnccn12', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1', 'Oc1c(F)cc(Br)cc1F']; [0.9999982714653015, 0.9999982118606567, 0.9999843835830688, 0.9999580383300781, 0.9997867345809937, 0.9996405839920044, 0.9988847970962524, 0.9985418915748596, 0.9898858070373535]
+Fc1ccc(Oc2cnc3cnccn23)c(F)c1; ['Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999953508377075, 0.9999614953994751]
+c1ccc2c(COc3cnc4cnccn34)cccc2c1; ['Clc1cnc2cnccn12', 'Brc1cnc2cnccn12']; ['OCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0.9760012626647949, 0.9241148233413696]
+Cc1onc(-c2ccccc2)c1-c1cnc2cnccn12; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Brc1cnc2cnccn12', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1I']; ['Ic1cnc2cnccn12', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Clc1cnc2cnccn12', 'c1cn2ccnc2cn1', 'c1cn2ccnc2cn1']; [0.9999653100967407, 0.9999297857284546, 0.9996788501739502, 0.9994763731956482, 0.9992014169692993]
+Fc1ccc(COc2cnc3cnccn23)c(F)c1; ['Brc1cnc2cnccn12', 'Clc1cnc2cnccn12', 'Ic1cnc2cnccn12']; ['OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F']; [0.9999699592590332, 0.9999271631240845, 0.9999139308929443]
+CC(=O)N(C)c1ccc(Nc2nccs2)cc1; ['CC(=O)N(C)c1ccc(N)cc1', 'Brc1nccs1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Clc1nccs1', 'CC(=O)N(C)c1ccc(N)cc1', 'Nc1nccs1']; [0.9983896613121033, 0.9941354990005493, 0.9666482210159302]
+Fc1cccc(Cl)c1CNc1cnc2cnccn12; ['Brc1cnc2cnccn12', 'Clc1cnc2cnccn12']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [1.0, 0.9999995231628418]
+Fc1ccc(CCc2cnc3cnccn23)c(F)c1; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3cnc4cnccn34)ccc12; [None]; [None]; [0]
+c1ccc2nc(Nc3nccs3)ncc2c1; ['Clc1ncc2ccccc2n1', 'Clc1nccs1', 'Brc1nccs1']; ['Nc1nccs1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.999982476234436, 0.9999677538871765, 0.9999584555625916]
+CCOc1ccc(Nc2nccs2)cc1; ['CCOc1ccc(NC(N)=S)cc1', None, 'CCOC(CCl)OCC', 'CCOC(Cl)CCl', 'CCOc1ccc(N)cc1', 'CCOc1ccc(Br)cc1', 'Brc1nccs1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Cl)cc1']; ['O=CCCl', None, 'CCOc1ccc(NC(N)=S)cc1', 'CCOc1ccc(NC(N)=S)cc1', 'Clc1nccs1', 'Nc1nccs1', 'CCOc1ccc(N)cc1', 'Nc1nccs1', 'Nc1nccs1']; [0.999805212020874, 0, 0.9993444681167603, 0.9989145398139954, 0.9841145873069763, 0.9817869663238525, 0.9809805154800415, 0.9548736214637756, 0.8745454549789429]
+c1ccc2c(CCc3cnc4cnccn34)c[nH]c2c1; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2-c2cnc3cnccn23)cc1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1Nc1nccs1; [None]; [None]; [0]
+COc1cc(Nc2nccs2)cc(OC)c1OC; ['COc1cc(NC(N)=S)cc(OC)c1OC', 'CCOC(CCl)OCC', None, 'CCOC(Cl)CCl', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Brc1nccs1', 'COc1cc(N)cc(OC)c1OC']; ['O=CCCl', 'COc1cc(NC(N)=S)cc(OC)c1OC', None, 'COc1cc(NC(N)=S)cc(OC)c1OC', 'Nc1nccs1', 'Nc1nccs1', 'COc1cc(N)cc(OC)c1OC', 'Clc1nccs1']; [0.9998977184295654, 0.9998354315757751, 0, 0.9994285106658936, 0.9980688095092773, 0.9967077970504761, 0.9956492185592651, 0.994957447052002]
+c1cnn2c(Nc3nccs3)cnc2c1; ['Brc1cnc2cccnn12', 'Clc1nccs1', 'Clc1cnc2cccnn12', 'Brc1nccs1']; ['Nc1nccs1', 'Nc1cnc2cccnn12', 'Nc1nccs1', 'Nc1cnc2cccnn12']; [0.9999983310699463, 0.99998939037323, 0.9999830722808838, 0.999979555606842]
+COc1ncccc1Nc1nccs1; ['Brc1nccs1', 'COc1ncccc1N', 'COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1Cl']; ['COc1ncccc1N', 'Clc1nccs1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.9995642900466919, 0.9989532232284546, 0.9986100196838379, 0.9978227615356445, 0.9973345994949341]
+COc1ccc(Nc2nccs2)cc1; ['COc1ccc(NC(N)=S)cc1', 'CCOC(CCl)OCC', None, 'CCOC(Cl)CCl', 'Brc1nccs1', 'COc1ccc(N)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1']; ['O=CCCl', 'COc1ccc(NC(N)=S)cc1', None, 'COc1ccc(NC(N)=S)cc1', 'COc1ccc(N)cc1', 'Clc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.9998743534088135, 0.9998571276664734, 0, 0.9992698431015015, 0.9886114597320557, 0.9864925146102905, 0.9730252027511597, 0.9657438397407532]
+CS(=O)(=O)c1cccc(Nc2nccs2)c1; ['Brc1nccs1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(N)c1']; ['CS(=O)(=O)c1cccc(N)c1', 'Nc1nccs1', 'Clc1nccs1']; [0.9999392032623291, 0.9997433423995972, 0.9995107650756836]
+Cc1ccc2ncn(Nc3nccs3)c2c1; [None]; [None]; [0]
+Oc1cccc(Nc2nccs2)c1; ['Brc1nccs1', 'Clc1nccs1', 'Nc1nccs1']; ['Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9914925694465637, 0.9869503974914551, 0.9867111444473267]
+N#Cc1ccc(O)c(Nc2nccs2)c1; ['Clc1nccs1', 'CSc1nccs1', 'Brc1nccs1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(F)c1']; ['N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.999885082244873, 0.9997299313545227, 0.999541163444519, 0.9991694688796997, 0.9984954595565796, 0.9983400106430054]
+Clc1ccc(-c2[nH]ncc2-c2cnc3cnccn23)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2nccs2)c1)C1CC1; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3nccs3)nc2c1; ['Brc1nccs1', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nccs1', 'Nc1nccs1']; [0.991905689239502, 0.9860093593597412, 0.9763376712799072]
+c1ccc2c(Nc3nccs3)nccc2c1; ['Clc1nccs1', 'Brc1nccs1', 'Clc1nccc2ccccc12', 'Brc1nccc2ccccc12']; ['Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Nc1nccs1', 'Nc1nccs1']; [0.9998780488967896, 0.9997424483299255, 0.9995241165161133, 0.9994942545890808]
+O=C([O-])c1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
+c1csc(Nc2ccc(N3CCOCC3)cc2)n1; ['CSc1nccs1', 'Brc1nccs1', 'Clc1nccs1', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1']; ['Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.999963641166687, 0.9996731281280518, 0.9992602467536926, 0.99919193983078, 0.9989501237869263, 0.9905158281326294]
+NC(=O)c1ccc(Nc2nccs2)cc1; ['Clc1nccs1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(F)cc1', 'NC(=O)c1ccc(Cl)cc1']; ['NC(=O)c1ccc(N)cc1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.9987576007843018, 0.9971503019332886, 0.9933254718780518, 0.9796260595321655, 0.9696266055107117]
+O=C(Nc1ccccc1)c1ccc(Nc2nccs2)cc1; ['Brc1nccs1', 'Clc1nccs1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.999932050704956, 0.9992523789405823]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3nccs3)cc2)CC1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(Nc3nccs3)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(Nc2nccs2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(Nc3nccs3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2nccs2)nc1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1Nc1nccs1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(Nc3nccs3)cn2)c1; [None]; [None]; [0]
+O=C(c1ccc(Nc2nccs2)nc1)N1CCOCC1; ['Nc1nccs1', 'Clc1nccs1', 'Brc1nccs1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cn1', 'Nc1ccc(C(=O)N2CCOCC2)cn1']; [0.9999990463256836, 0.9999860525131226, 0.999945878982544]
+c1cc(Nc2nccs2)cc(C2CCNCC2)c1; [None]; [None]; [0]
+OCCOc1ccc(Nc2nccs2)cc1; ['Clc1nccs1', 'Nc1nccs1', 'Brc1nccs1']; ['Nc1ccc(OCCO)cc1', 'OCCOc1ccc(Br)cc1', 'Nc1ccc(OCCO)cc1']; [0.997631847858429, 0.997314453125, 0.9963047504425049]
+O=C(c1ccc(Nc2nccs2)cc1)N1CCOCC1; ['Brc1nccs1', 'Nc1nccs1', 'Nc1nccs1', 'Clc1nccs1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cc1']; [0.9998914003372192, 0.9998641610145569, 0.9996812343597412, 0.9996128678321838]
+FC(F)(F)c1ccc(Nc2nccs2)cc1; ['CCOC(CCl)OCC', 'NC(=S)Nc1ccc(C(F)(F)F)cc1', None, 'CCOC(Cl)CCl', 'Brc1nccs1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(I)cc1', 'Clc1nccs1']; ['NC(=S)Nc1ccc(C(F)(F)F)cc1', 'O=CCCl', None, 'NC(=S)Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1ccc(C(F)(F)F)cc1']; [0.9998637437820435, 0.9997162222862244, 0, 0.9983444213867188, 0.9972047805786133, 0.996161699295044, 0.9947609901428223, 0.9944066405296326]
+CNS(=O)(=O)c1ccc(Nc2nccs2)cc1; ['Brc1nccs1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['CNS(=O)(=O)c1ccc(N)cc1', 'Clc1nccs1', 'Nc1nccs1']; [0.9985287189483643, 0.9940046668052673, 0.9784865379333496]
+CN(C)c1ccc(Nc2nccs2)cc1; ['CCOC(CCl)OCC', None, 'CN(C)c1ccc(NC(N)=S)cc1', 'CCOC(Cl)CCl', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'Brc1nccs1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1']; ['CN(C)c1ccc(NC(N)=S)cc1', None, 'O=CCCl', 'CN(C)c1ccc(NC(N)=S)cc1', 'CSc1nccs1', 'Clc1nccs1', 'CN(C)c1ccc(N)cc1', 'Nc1nccs1', 'Nc1nccs1']; [0.999966561794281, 0, 0.9998072385787964, 0.9998048543930054, 0.9995647668838501, 0.9985964298248291, 0.997709333896637, 0.984428882598877, 0.9828416109085083]
+Oc1ccccc1CNc1nccs1; ['Clc1nccs1', 'Brc1nccs1', 'Nc1nccs1']; ['NCc1ccccc1O', 'NCc1ccccc1O', 'O=Cc1ccccc1O']; [0.9995198249816895, 0.9971096515655518, 0.9316476583480835]
+O=S1(=O)Cc2ccc(Nc3nccs3)cc2C1; ['Brc1nccs1', 'CSc1nccs1', 'Nc1nccs1', 'Clc1nccs1']; ['Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Nc1ccc2c(c1)CS(=O)(=O)C2']; [0.9999832510948181, 0.9999491572380066, 0.9999057054519653, 0.9998087882995605]
+c1cnc(NNc2nccs2)nc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(Nc2nccs2)cc1; ['Brc1nccs1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1']; ['CN(C)S(=O)(=O)c1ccc(N)cc1', 'CSc1nccs1', 'Nc1nccs1', 'Nc1nccs1', 'Clc1nccs1']; [0.9997623562812805, 0.9994792342185974, 0.9990965127944946, 0.9985266327857971, 0.9984092116355896]
+Cc1nc(C)c(Nc2nccs2)s1; ['Cc1nc(C)c(Br)s1']; ['Nc1nccs1']; [0.9997200965881348]
+CC(=O)NCc1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(Nc2nccs2)CC1; ['Brc1nccs1', 'CS(=O)(=O)N1CCC(=O)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1']; ['CS(=O)(=O)N1CCC(N)CC1', 'Nc1nccs1', 'Clc1nccs1', 'CSc1nccs1']; [0.9999747276306152, 0.9999545216560364, 0.9994450807571411, 0.9990955591201782]
+CC(C)c1cc(Nc2nccs2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Nc1nccs1']; [0.9939768314361572]
+Brc1ccc(Nc2nccs2)cc1; ['NC(=S)Nc1ccc(Br)cc1', 'CCOC(CCl)OCC', None, 'CCOC(Cl)CCl', 'Clc1nccs1', 'Brc1ccc(I)cc1', 'Brc1nccs1', 'Brc1ccc(Br)cc1', None]; ['O=CCCl', 'NC(=S)Nc1ccc(Br)cc1', None, 'NC(=S)Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1nccs1', 'Nc1ccc(Br)cc1', 'Nc1nccs1', None]; [0.99998539686203, 0.999983549118042, 0, 0.9996973276138306, 0.9970217943191528, 0.9954094290733337, 0.9687461256980896, 0.9629809260368347, 0]
+CCNS(=O)(=O)c1ccc(Nc2nccs2)cc1; ['CCNS(=O)(=O)c1ccc(Br)cc1', 'Brc1nccs1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCN']; ['Nc1nccs1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'Clc1nccs1', 'c1ccc(Nc2nccs2)cc1']; [0.9887264966964722, 0.9863747358322144, 0.9796571731567383, 0.9618552923202515]
+Nc1ncc(CNc2nccs2)cn1; ['Nc1ncc(CO)cn1', 'Nc1ncc(C=O)cn1']; ['Nc1nccs1', 'Nc1nccs1']; [0.9942513704299927, 0.9872534871101379]
+CCCOc1ccc(Nc2nccs2)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1nccs1']; [0.9999257326126099]
+CC(=O)N1CCCN(c2cccc(Nc3nccs3)c2)CC1; ['CC(=O)N1CCCNCC1']; ['Fc1cccc(Nc2nccs2)c1']; [0.9998800754547119]
+COc1ccc(CNc2nccs2)cc1; ['CCOC(CBr)OCC', 'COc1ccc(CNC(N)=S)cc1', 'CCOC(CCl)OCC', 'CCOC(Cl)CCl', 'COc1ccc(CN)cc1', 'Brc1nccs1', 'COc1ccc(CBr)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(CCl)cc1']; ['COc1ccc(CNC(N)=S)cc1', 'O=CCCl', 'COc1ccc(CNC(N)=S)cc1', 'COc1ccc(CNC(N)=S)cc1', 'Clc1nccs1', 'COc1ccc(CN)cc1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.9999986886978149, 0.9999983310699463, 0.9999960660934448, 0.9999904632568359, 0.9998983144760132, 0.9997701048851013, 0.9980924725532532, 0.9976557493209839, 0.9945776462554932, 0.9889274835586548]
+CN(C)c1ccc(Nc2nccs2)cc1Cl; ['Brc1nccs1', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(F)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CNC']; ['CN(C)c1ccc(N)cc1Cl', 'Nc1nccs1', 'Nc1nccs1', 'Clc1nccs1', 'Clc1ccc(Nc2nccs2)cc1Cl']; [0.9996626377105713, 0.9979040622711182, 0.9962621927261353, 0.9895692467689514, 0.9586217999458313]
+c1csc(Nc2ccn3nccc3n2)n1; ['Brc1nccs1', 'Brc1ccn2nccc2n1', 'Clc1nccs1', 'Clc1ccn2nccc2n1']; ['Nc1ccn2nccc2n1', 'Nc1nccs1', 'Nc1ccn2nccc2n1', 'Nc1nccs1']; [0.999997615814209, 0.9999953508377075, 0.9999927282333374, 0.9999920129776001]
+c1ccc(-n2cccn2)c(Nc2nccs2)c1; ['Brc1ccccc1-n1cccn1', 'Brc1nccs1', 'Clc1nccs1', 'Fc1ccccc1-n1cccn1']; ['Nc1nccs1', 'Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Nc1nccs1']; [0.9999979734420776, 0.9999915957450867, 0.9999904632568359, 0.9999784827232361]
+COc1ccc(Cl)cc1Nc1nccs1; ['COc1ccc(Cl)cc1NC(N)=S', 'CCOC(CCl)OCC', None, 'CCOC(Cl)CCl', 'Brc1nccs1', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1Br']; ['O=CCCl', 'COc1ccc(Cl)cc1NC(N)=S', None, 'COc1ccc(Cl)cc1NC(N)=S', 'COc1ccc(Cl)cc1N', 'Nc1nccs1', 'Clc1nccs1', 'Nc1nccs1']; [0.9999896287918091, 0.9999810457229614, 0, 0.9999709129333496, 0.9999521970748901, 0.9997999668121338, 0.9997182488441467, 0.9996655583381653]
+Cc1c(Nc2nccs2)cccc1C(=O)[O-]; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2nccs2)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1nccs1']; [0.9999418258666992]
+CCN(CC)C(=O)c1ccc(Nc2nccs2)cc1; ['CCN(CC)C(=O)c1ccc(N)cc1', 'Brc1nccs1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['CSc1nccs1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'Nc1nccs1', 'Clc1nccs1', 'Nc1nccs1']; [0.9998172521591187, 0.9997414946556091, 0.9994863271713257, 0.9989811182022095, 0.9985636472702026]
+COc1cc(OC)c(Nc2nccs2)cc1Cl; ['Brc1nccs1', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Br)cc1Cl']; ['COc1cc(OC)c(Cl)cc1N', 'Clc1nccs1', 'Nc1nccs1']; [0.999244213104248, 0.9984133243560791, 0.995103120803833]
+O=C(c1ccccc1)N1CC[C@H](Nc2nccs2)C1; [None]; [None]; [0]
+c1ccc2c(Nc3nccs3)c[nH]c2c1; ['Clc1nccs1', 'Brc1c[nH]c2ccccc12', 'Brc1nccs1', 'Clc1c[nH]c2ccccc12']; ['Nc1c[nH]c2ccccc12', 'Nc1nccs1', 'Nc1c[nH]c2ccccc12', 'Nc1nccs1']; [0.9965949058532715, 0.9810588359832764, 0.970834493637085, 0.9138666987419128]
+c1csc(Nc2ccc3c(c2)CCO3)n1; ['Brc1nccs1', 'Clc1nccs1', 'Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2']; ['Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1nccs1', 'Nc1nccs1']; [0.9990561008453369, 0.9972602725028992, 0.9961378574371338, 0.9947687983512878]
+COc1cc(Nc2nccs2)ccc1O; ['Brc1nccs1', 'COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O']; ['COc1cc(N)ccc1O', 'Clc1nccs1', 'Nc1nccs1']; [0.9968369603157043, 0.99461829662323, 0.9874777793884277]
+CC(=O)Nc1cccc(Nc2nccs2)c1; ['Brc1nccs1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1']; ['CC(=O)Nc1cccc(N)c1', 'Clc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.9996958374977112, 0.9992160797119141, 0.997390866279602, 0.9805209636688232]
+c1cc(Nc2nccs2)c2c(c1)OCO2; ['Brc1cccc2c1OCO2', 'CSc1nccs1', 'Brc1nccs1', 'Ic1cccc2c1OCO2', 'Clc1nccs1']; ['Nc1nccs1', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1nccs1', 'Nc1cccc2c1OCO2']; [0.9987596869468689, 0.9984827041625977, 0.9903759956359863, 0.9897592663764954, 0.9875749349594116]
+Fc1ccc2nc(CNc3nccs3)[nH]c2c1F; ['Nc1ccc(F)c(F)c1N']; ['O=C(O)CNc1nccs1']; [0.9999455213546753]
+Fc1ccc2[nH]c(CNc3nccs3)nc2c1F; ['Nc1ccc(F)c(F)c1N']; ['O=C(O)CNc1nccs1']; [0.9994862675666809]
+CC(C)(C)c1ccc(Nc2nccs2)cc1; ['CC(C)(C)c1ccc(NC(N)=S)cc1', 'CC(C)(C)c1ccc(NC(N)=S)cc1', 'CC(C)(C)c1ccc(NC(N)=S)cc1', None, 'CC(C)(C)c1ccc(NC(N)=S)cc1', 'Brc1nccs1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['CCOC(CCl)OCC', 'CCOC(CBr)OCC', 'O=CCCl', None, 'CCOC(Cl)CCl', 'CC(C)(C)c1ccc(N)cc1', 'Nc1nccs1', 'Clc1nccs1', 'Nc1nccs1']; [0.9999896287918091, 0.9999779462814331, 0.9999585151672363, 0, 0.9998377561569214, 0.9997715353965759, 0.9993877410888672, 0.998813271522522, 0.9981864094734192]
+COc1cc(C(=O)N2CCOCC2)ccc1Nc1nccs1; ['Brc1nccs1', 'COc1cc(C(=O)N2CCOCC2)ccc1N']; ['COc1cc(C(=O)N2CCOCC2)ccc1N', 'Clc1nccs1']; [0.9998164176940918, 0.9996713995933533]
+c1ccc(-c2cc(Nc3nccs3)n[nH]2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2nccs2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'Brc1nccs1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Clc1nccs1', 'Nc1nccs1', 'CN(C)C(=O)c1ccc(N)cc1', 'Nc1nccs1']; [0.9994412064552307, 0.998879075050354, 0.998406708240509, 0.9955536127090454]
+c1ccc2[nH]c(CNc3nccs3)nc2c1; ['Nc1ccccc1N', 'ClCc1nc2ccccc2[nH]1', 'Clc1nccs1', 'Nc1nccs1', 'Brc1nccs1']; ['O=C(O)CNc1nccs1', 'Nc1nccs1', 'NCc1nc2ccccc2[nH]1', 'O=Cc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1']; [0.9999717473983765, 0.9995068311691284, 0.9991198778152466, 0.9969761371612549, 0.9963537454605103]
+Nc1nc(Nc2nccs2)cs1; ['NC(N)=S']; ['O=C(CCl)Nc1nccs1']; [0.9991193413734436]
+c1ccc2ncc(Nc3nccs3)cc2c1; ['Clc1nccs1', 'Brc1nccs1', 'Ic1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.9955875873565674, 0.9909634590148926, 0.989641547203064, 0.9526923894882202, 0.9378404021263123]
 CC(C)c1ccc2nc(Nc3nccs3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Nc1nccs1; [None]; [None]; [0]
-Nc1cc(Nc2nccs2)c2cc[nH]c2n1; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2nccs2)cn1; ['Brc1nccs1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(N)cn1']; ['CC(C)(C)c1ccc(N)cn1', 'Nc1nccs1', 'Clc1nccs1']; [0.9994643926620483, 0.9985435009002686, 0.9985177516937256]
+COc1cccc(C(=O)NNc2nccs2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1']; ['NNc1nccs1', 'NNc1nccs1']; [0.994775116443634, 0.9926365613937378]
+c1ccc(CCCNc2nccs2)cc1; ['NC(=S)NCCCc1ccccc1', 'CCOC(CBr)OCC', 'CCOC(CCl)OCC', 'CCOC(Cl)CCl', 'Clc1nccs1', 'Brc1nccs1', 'ClCCCc1ccccc1', 'BrCCCc1ccccc1', 'Nc1nccs1', 'Nc1nccs1']; ['O=CCCl', 'NC(=S)NCCCc1ccccc1', 'NC(=S)NCCCc1ccccc1', 'NC(=S)NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'Nc1nccs1', 'Nc1nccs1', 'O=CCCc1ccccc1', 'OCCCc1ccccc1']; [0.9999937415122986, 0.9999912977218628, 0.9999856948852539, 0.9999418258666992, 0.999705970287323, 0.9977346658706665, 0.992531418800354, 0.988985538482666, 0.9776580929756165, 0.9418538808822632]
+Cc1ccc(Nc2nccs2)c(=O)[nH]1; ['Brc1nccs1', 'Cc1ccc(N)c(=O)[nH]1']; ['Cc1ccc(N)c(=O)[nH]1', 'Clc1nccs1']; [0.8853893876075745, 0.8810757398605347]
+c1ccc2sc(Nc3nccs3)cc2c1; ['Brc1cc2ccccc2s1', 'Clc1nccs1']; ['Nc1nccs1', 'Nc1cc2ccccc2s1']; [0.9946265816688538, 0.9910456538200378]
+CSc1ccc(Nc2nccs2)cc1; ['CCOC(CCl)OCC', 'CCOC(Cl)CCl', 'CSc1ccc(NC(N)=S)cc1', None, 'Brc1nccs1', 'CSc1ccc(N)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1']; ['CSc1ccc(NC(N)=S)cc1', 'CSc1ccc(NC(N)=S)cc1', 'O=CCCl', None, 'CSc1ccc(N)cc1', 'Clc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.999963641166687, 0.9997565746307373, 0.9996789693832397, 0, 0.998239278793335, 0.9961404204368591, 0.9840051531791687, 0.9770985841751099]
+Clc1cccc(-n2ccc(Nc3nccs3)n2)c1; [None]; [None]; [0]
+CC[C@@H](CO)Nc1nccs1; ['CC[C@H](N)CO', 'Brc1nccs1']; ['Clc1nccs1', 'CC[C@H](N)CO']; [0.9996752738952637, 0.998842716217041]
+CC(=O)N[C@@H]1CC[C@@H](Nc2nccs2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2nccs2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1', 'Brc1nccs1']; ['Nc1nccs1', 'Cc1cc(N)nc(N)n1']; [0.9978606700897217, 0.9676898717880249]
+c1csc(Nc2scc3c2OCCO3)n1; [None]; [None]; [0]
+Fc1ccc(Nc2nccs2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1', 'Brc1nccs1', 'Clc1nccs1', 'Fc1ccc(I)c(Cl)c1']; ['Nc1nccs1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Nc1nccs1']; [0.9999792575836182, 0.99985671043396, 0.9995916485786438, 0.9991723299026489]
+Brc1cnc(Nc2nccs2)nc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1nccs1']; ['Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1ncc(Br)cn1']; [0.9998205304145813, 0.9991855621337891, 0.9932221174240112, 0.9885746240615845]
+COc1ccc(Nc2nccs2)cc1OC; ['Brc1nccs1', 'COc1ccc(Br)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(I)cc1OC']; ['COc1ccc(N)cc1OC', 'Nc1nccs1', 'Clc1nccs1', 'Nc1nccs1']; [0.9993816614151001, 0.9980413913726807, 0.995246410369873, 0.9918162226676941]
+OC[C@H](Cc1ccccc1)Nc1nccs1; ['Brc1nccs1', 'Clc1nccs1']; ['N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1']; [0.9998661279678345, 0.9997349977493286]
+O=C1CCc2cc(Nc3nccs3)ccc2N1; ['Nc1nccs1', 'Clc1nccs1', 'Nc1nccs1', 'Nc1nccs1', 'Brc1nccs1', 'Nc1nccs1']; ['O=C1CCc2cc(Br)ccc2N1', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(F)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(Cl)ccc2N1']; [0.9993373155593872, 0.9990483522415161, 0.9986110925674438, 0.998530387878418, 0.9984235167503357, 0.9777005910873413]
+Clc1ccc(Nc2nccs2)c(Cl)c1; ['CCOC(CCl)OCC', None, 'NC(=S)Nc1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1', 'CCOC(Cl)CCl', 'Brc1nccs1', 'Clc1nccs1']; ['NC(=S)Nc1ccc(Cl)cc1Cl', None, 'O=CCCl', 'Nc1nccs1', 'NC(=S)Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl']; [0.9999960064888, 0, 0.9999650716781616, 0.9999477863311768, 0.999944269657135, 0.9998899698257446, 0.999523937702179]
+CCc1ccc(Nc2nccs2)cc1; ['CCOC(CBr)OCC', 'CCc1ccc(NC(N)=S)cc1', 'CCOC(CCl)OCC', None, 'CCOC(Cl)CCl', 'CCc1ccc(N)cc1', 'Brc1nccs1', 'CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1']; ['CCc1ccc(NC(N)=S)cc1', 'O=CCCl', 'CCc1ccc(NC(N)=S)cc1', None, 'CCc1ccc(NC(N)=S)cc1', 'Clc1nccs1', 'CCc1ccc(N)cc1', 'Nc1nccs1', 'Nc1nccs1']; [0.999969482421875, 0.99994957447052, 0.9999262094497681, 0, 0.9995455741882324, 0.9948031306266785, 0.9924732446670532, 0.9822876453399658, 0.9746999740600586]
+c1csc(NCCCn2cncn2)n1; ['CSc1nccs1', 'Clc1nccs1', 'Brc1nccs1']; ['NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1']; [0.9999505281448364, 0.9999451041221619, 0.999618649482727]
+CCN1CCN(Cc2ccc(Nc3nccs3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'Brc1nccs1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1']; ['CSc1nccs1', 'Nc1nccs1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'Nc1nccs1', 'Clc1nccs1']; [0.9984806776046753, 0.9971129894256592, 0.9758315086364746, 0.8694177865982056, 0.8174636363983154]
+c1ccn2nc(Nc3nccs3)cc2c1; ['Clc1nccs1', 'Brc1nccs1', 'Clc1cc2ccccn2n1', 'Brc1cc2ccccn2n1']; ['Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Nc1nccs1', 'Nc1nccs1']; [0.9999176263809204, 0.9996663331985474, 0.9994325041770935, 0.999325692653656]
+Cn1cc(Nc2nccs2)c(C(F)(F)F)n1; ['Cn1cc(I)c(C(F)(F)F)n1', 'Clc1nccs1', 'Brc1nccs1']; ['Nc1nccs1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1']; [0.999976396560669, 0.9999620914459229, 0.999961256980896]
+c1cc2cnc(Nc3nccs3)nn2c1; ['Clc1ncc2cccn2n1']; ['Nc1nccs1']; [0.9999727010726929]
+COc1ccc2cccc(Nc3nccs3)c2c1; ['COc1ccc2cccc(N)c2c1', 'Brc1nccs1', 'COc1ccc2cccc(Br)c2c1']; ['Clc1nccs1', 'COc1ccc2cccc(N)c2c1', 'Nc1nccs1']; [0.9999693632125854, 0.9998186826705933, 0.9997717142105103]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
+Clc1cnc(Nc2nccs2)nc1; ['Brc1nccs1', 'CS(=O)c1ncc(Cl)cn1', 'Clc1cnc(Cl)nc1', 'CS(=O)(=O)c1ncc(Cl)cn1', 'CSc1ncc(Cl)cn1']; ['Nc1ncc(Cl)cn1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.9976409077644348, 0.9964909553527832, 0.994960606098175, 0.9943971037864685, 0.9738820791244507]
+Oc1ccc2cccc(Nc3nccs3)c2c1; ['Nc1nccs1', 'Clc1nccs1', 'Brc1nccs1']; ['Oc1ccc2cccc(Br)c2c1', 'Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12']; [0.9995466470718384, 0.9990355968475342, 0.9977301359176636]
+Cc1csc2c(Nc3nccs3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1nccs1']; [0.9999779462814331]
+COc1cc(F)c(Nc2nccs2)cc1OC; ['COc1cc(N)c(F)cc1OC', 'Brc1nccs1', 'COc1cc(F)c(F)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(N)c(F)cc1OC']; ['Clc1nccs1', 'COc1cc(N)c(F)cc1OC', 'Nc1nccs1', 'Nc1nccs1', 'CSc1nccs1']; [0.9995597004890442, 0.9994082450866699, 0.9993270635604858, 0.9992750883102417, 0.9992542266845703]
+COc1cc(Nc2nccs2)ccc1N1CCOCC1; ['COc1cc(N)ccc1N1CCOCC1', 'Brc1nccs1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1']; ['CSc1nccs1', 'COc1cc(N)ccc1N1CCOCC1', 'Nc1nccs1', 'Clc1nccs1']; [0.9999979734420776, 0.9999878406524658, 0.9999786615371704, 0.9999008774757385]
+COc1cc(Nc2nccs2)ccc1Cl; ['Brc1nccs1', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['COc1cc(N)ccc1Cl', 'Nc1nccs1', 'Nc1nccs1', 'Clc1nccs1', 'Nc1nccs1']; [0.9998342990875244, 0.9996858835220337, 0.9988551735877991, 0.9959790706634521, 0.8594577312469482]
+CNC(=O)c1ccc(Nc2nccs2)cc1; ['CNC(=O)c1ccc(N)cc1', 'Brc1nccs1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['Clc1nccs1', 'CNC(=O)c1ccc(N)cc1', 'Nc1nccs1', 'Nc1nccs1']; [0.9988610744476318, 0.9980449080467224, 0.9947246313095093, 0.994193971157074]
+OCCn1cc(Nc2nccs2)cn1; ['CSc1nccs1', 'Clc1nccs1', 'Nc1nccs1', 'Brc1nccs1']; ['Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'OCCn1cc(Br)cn1', 'Nc1cnn(CCO)c1']; [0.9999875426292419, 0.9998552799224854, 0.9995141625404358, 0.9967478513717651]
+CCNC(=O)c1ccc(Nc2nccs2)nc1; ['CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc(Cl)nc1']; ['Nc1nccs1', 'Nc1nccs1']; [0.9995008111000061, 0.9956700205802917]
+COc1cc(Nc2nccs2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['Nc1nccs1', 'Nc1nccs1']; [0.9987422227859497, 0.9348070621490479]
+CO[C@@H]1CC[C@@H](Nc2nccs2)CC1; ['Brc1nccs1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1']; ['CO[C@H]1CC[C@H](N)CC1', 'Clc1nccs1', 'CSc1nccs1']; [0.9999550580978394, 0.9998301267623901, 0.9995614290237427]
+COc1ccc(OC)c(CNc2nccs2)c1; ['COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CCl)c1', 'COc1ccc(OC)c(CBr)c1', 'COc1ccc(OC)c(C=O)c1', 'COc1ccc(OC)c(CO)c1']; ['Clc1nccs1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.9997998476028442, 0.9985611438751221, 0.9973056316375732, 0.9839792251586914, 0.9804280996322632]
+Nc1cc(Nc2nccs2)c2cc[nH]c2n1; ['Nc1cc(Cl)c2cc[nH]c2n1']; ['Nc1nccs1']; [0.9262804985046387]
+CC1(C)Cc2cc(Nc3nccs3)ccc2O1; [None]; [None]; [0]
+COc1cc(Nc2nccs2)cc(OC)c1; ['COc1cc(N)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'Brc1nccs1', 'COc1cc(I)cc(OC)c1', 'COc1cc(F)cc(OC)c1']; ['Clc1nccs1', 'Nc1nccs1', 'COc1cc(N)cc(OC)c1', 'Nc1nccs1', 'Nc1nccs1']; [0.9971050024032593, 0.9948714971542358, 0.9937717914581299, 0.9920392036437988, 0.9877592325210571]
 COc1cc(CS(C)(=O)=O)ccc1Nc1nccs1; [None]; [None]; [0]
+c1csc(Nc2ccc3cn[nH]c3c2)n1; ['CCOC(CCl)OCC', 'CCOC(CBr)OCC', 'CCOC(Cl)CCl', 'Brc1nccs1', 'Clc1nccs1', 'NC(=S)Nc1ccc2cn[nH]c2c1', None, 'Ic1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1']; ['NC(=S)Nc1ccc2cn[nH]c2c1', 'NC(=S)Nc1ccc2cn[nH]c2c1', 'NC(=S)Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'O=CCCl', None, 'Nc1nccs1', 'Nc1nccs1']; [0.9999936819076538, 0.9999933838844299, 0.9999476075172424, 0.999936580657959, 0.9998489618301392, 0.9998151063919067, 0, 0.9991872906684875, 0.9990260601043701]
+CCn1cc(Nc2nccs2)cn1; ['CCn1cc(N)cn1', 'CCn1cc(Br)cn1', 'Brc1nccs1']; ['Clc1nccs1', 'Nc1nccs1', 'CCn1cc(N)cn1']; [0.9970695376396179, 0.9957824349403381, 0.9821110367774963]
+CCNC(=O)N1CCC(Nc2nccs2)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(Nc2nccs2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(Nc1nccs1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NNc2nccs2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(Nc3nccs3)[nH]c2c1; [None]; [None]; [0]
+c1csc(Nc2ncc3sccc3n2)n1; ['Clc1ncc2sccc2n1']; ['Nc1nccs1']; [0.9999899864196777]
+c1ccc2oc(Nc3nccs3)cc2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1Nc1nccs1; ['CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1I']; ['Nc1nccs1', 'Nc1nccs1']; [0.9999580979347229, 0.9998733997344971]
+CNC(=O)c1ccc(OC)c(Nc2nccs2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'Brc1nccs1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['Clc1nccs1', 'CNC(=O)c1ccc(OC)c(N)c1', 'Nc1nccs1']; [0.9999402761459351, 0.9998904466629028, 0.997871458530426]
+c1cncc(-c2ccnc(Nc3nccs3)c2)c1; ['Clc1nccs1']; ['Nc1cc(-c2cccnc2)ccn1']; [0.9998558759689331]
+COc1ccc(F)c(C(=O)NNc2nccs2)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['NNc1nccs1']; [0.9983680248260498]
+FC(F)(F)Oc1ccc(Nc2nccs2)cc1; ['NC(=S)Nc1ccc(OC(F)(F)F)cc1', None, 'CCOC(CCl)OCC', 'Clc1nccs1', 'Brc1nccs1', 'CCOC(Cl)CCl', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1']; ['O=CCCl', None, 'NC(=S)Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'NC(=S)Nc1ccc(OC(F)(F)F)cc1', 'Nc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.999947726726532, 0, 0.9998889565467834, 0.9998672604560852, 0.9998472332954407, 0.9992310404777527, 0.9990462064743042, 0.9980539083480835, 0.9937480688095093]
+COc1ccc2nc(Nc3nccs3)[nH]c2c1; ['COc1ccc2nc(Cl)[nH]c2c1']; ['Nc1nccs1']; [0.9920376539230347]
+CCc1cccc(Nc2nccs2)n1; ['CCc1cccc(N)n1', 'Brc1nccs1', 'CCc1cccc(Br)n1']; ['Clc1nccs1', 'CCc1cccc(N)n1', 'Nc1nccs1']; [0.9998399615287781, 0.9998255968093872, 0.9957676529884338]
+Cn1cc(Nc2nccs2)c2ccccc21; [None]; [None]; [0]
+COc1ccc2oc(Nc3nccs3)cc2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(Nc2nccs2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2nccs2)c1)N1CCCC1; [None]; [None]; [0]
 c1csc(Nc2ncn3c2CCCC3)n1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(Nc3nccs3)cn2)CC1; [None]; [None]; [0]
-O=C(NNc1nccs1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cn1ncc2cc(Nc3nccs3)ccc21; ['CCOC(CCl)OCC', None, 'CCOC(Cl)CCl', 'Cn1ncc2cc(NC(N)=S)ccc21', 'CSc1nccs1', 'Brc1nccs1', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(I)ccc21', 'Clc1nccs1', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(N)ccc21']; ['Cn1ncc2cc(NC(N)=S)ccc21', None, 'Cn1ncc2cc(NC(N)=S)ccc21', 'O=CCCl', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Nc1nccs1', 'Nc1nccs1', 'Cn1ncc2cc(N)ccc21', 'Nc1nccs1', 'Nc1nccs1']; [0.9999991655349731, 0, 0.9999844431877136, 0.9999827146530151, 0.999972939491272, 0.9999655485153198, 0.9999625086784363, 0.9999347925186157, 0.9998315572738647, 0.9978843927383423, 0.9977651238441467]
+Cn1cc(Br)cc1Nc1nccs1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2nccs2)cn1; ['Brc1nccs1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(N)cn1']; ['CN(C)c1ccc(N)cn1', 'Nc1nccs1', 'Clc1nccs1']; [0.99951171875, 0.9985102415084839, 0.997774600982666]
+Cc1n[nH]c2cc(Nc3nccs3)ccc12; ['Brc1nccs1', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(F)ccc12']; ['Cc1n[nH]c2cc(N)ccc12', 'Clc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; [0.9999927282333374, 0.9999874830245972, 0.9999718070030212, 0.999848484992981]
+Cn1nc(Cl)c2cc(Nc3nccs3)ccc21; [None]; [None]; [0]
+O=C(NNc1nccs1)c1cccc(OC(F)(F)F)c1; ['NNc1nccs1', 'NNc1nccs1']; ['O=C(O)c1cccc(OC(F)(F)F)c1', 'O=C(Cl)c1cccc(OC(F)(F)F)c1']; [0.999971866607666, 0.9999713897705078]
+Cc1cc(Nc2nccs2)cc(C)c1OCCO; [None]; [None]; [0]
+OCCc1ccc(Nc2nccs2)cc1; ['CSc1nccs1', 'Clc1nccs1', 'Brc1nccs1', 'Nc1nccs1', 'Nc1nccs1']; ['Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1']; [0.999695897102356, 0.9952998161315918, 0.9750126600265503, 0.9542346596717834, 0.9442707300186157]
+O=C1CCCN1c1cccc(Nc2nccs2)c1; ['Brc1nccs1', 'CSc1nccs1', 'Nc1nccs1', 'Clc1nccs1', 'Nc1nccs1', 'Fc1cccc(Nc2nccs2)c1']; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Cl)c1', 'O=C1CCCN1']; [0.9996949434280396, 0.9996936321258545, 0.9984581470489502, 0.9959820508956909, 0.994813859462738, 0.9822048544883728]
+CN(C)C(=O)c1ccc(Nc2nccs2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(Nc3nccs3)cc2)n1C; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1Nc1nccs1; ['CSc1nccs1', 'Cc1cc(N2CCOCC2)ccc1N', 'Brc1nccs1']; ['Cc1cc(N2CCOCC2)ccc1N', 'Clc1nccs1', 'Cc1cc(N2CCOCC2)ccc1N']; [0.9999986290931702, 0.9999954104423523, 0.9999920129776001]
+CC(C)(O)c1ccc2cc(Nc3nccs3)[nH]c2c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1Nc1nccs1; ['Brc1nccs1', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1N']; ['COc1cc(S(C)(=O)=O)ccc1N', 'Nc1nccs1', 'Clc1nccs1']; [0.9998013973236084, 0.9992218017578125, 0.9990816116333008]
+CNC(=O)c1ccc(Nc2nccs2)c(OC)c1; ['CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1', 'Brc1nccs1']; ['Clc1nccs1', 'Nc1nccs1', 'CNC(=O)c1ccc(N)c(OC)c1']; [0.9545831680297852, 0.9481094479560852, 0.9446457624435425]
+CCNC(=O)c1ccc(Nc2nccs2)cc1; ['Brc1nccs1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(I)cc1']; ['CCNC(=O)c1ccc(N)cc1', 'Nc1nccs1', 'Clc1nccs1', 'Nc1nccs1']; [0.9978295564651489, 0.9975974559783936, 0.9969017505645752, 0.9918497800827026]
+COc1cc(N2CCNCC2)ccc1Nc1nccs1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1Nc1nccs1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1nccs1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(Nc2nccs2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1nccs1']; [0.9932325482368469]
+CS(=O)(=O)c1ccc(Cl)c(Nc2nccs2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1nccs1']; [0.9999508857727051]
+CN(C)C(=O)c1ccc(Nc2nccs2)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1nccs1', 'Nc1nccs1']; [0.9999555945396423, 0.9998461008071899]
+CC(C)C(=O)COCc1ccc2c(c1)OCO2; ['CC(C)C(=O)CCl']; ['OCc1ccc2c(c1)OCO2']; [0.9575509428977966]
+CNC(=O)c1ccc(C)c(Nc2nccs2)c1; ['CNC(=O)c1ccc(C)c(N)c1', 'Brc1nccs1']; ['Clc1nccs1', 'CNC(=O)c1ccc(C)c(N)c1']; [0.9997893571853638, 0.9996208548545837]
+c1cncc(NCc2ccc3c(c2)OCO3)c1; ['BrCc1ccc2c(c1)OCO2', 'ClCc1ccc2c(c1)OCO2', 'Ic1cccnc1', 'Fc1cccnc1', 'Brc1cccnc1', 'Clc1cccnc1', 'Nc1cccnc1', 'Nc1cccnc1']; ['Nc1cccnc1', 'Nc1cccnc1', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2']; [0.9992787837982178, 0.9974179267883301, 0.9949876070022583, 0.993804395198822, 0.9894288778305054, 0.9883463382720947, 0.9851691126823425, 0.984729528427124]
+CC(=O)N1CCC(n2cc(Nc3nccs3)cn2)CC1; [None]; [None]; [0]
+O=C(NCc1ccc2c(c1)OCO2)c1cccs1; ['NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'CCOC(=O)c1cccs1', 'NCc1ccc2c(c1)OCO2', 'COC(=O)c1cccs1', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'OCc1cccs1', 'NCc1ccc2c(c1)OCO2', 'O=Cc1cccs1', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2']; [0.9999397993087769, 0.9996753931045532, 0.9985076785087585, 0.9966020584106445, 0.9960978031158447, 0.9948545694351196, 0.9895737171173096, 0.8814644813537598]
+c1cncc(CNCc2ccc3c(c2)OCO3)c1; ['O=Cc1ccc2c(c1)OCO2', 'BrCc1cccnc1', 'NCc1ccc2c(c1)OCO2', 'ClCc1ccc2c(c1)OCO2', 'ClCc1cccnc1', 'BrCc1ccc2c(c1)OCO2', 'NCc1cccnc1', 'NCc1cccnc1', 'NCc1ccc2c(c1)OCO2']; ['[N-]=[N+]=NCc1cccnc1', 'NCc1ccc2c(c1)OCO2', 'OCc1cccnc1', 'NCc1cccnc1', 'NCc1ccc2c(c1)OCO2', 'NCc1cccnc1', 'O=Cc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'O=Cc1cccnc1']; [0.9994670152664185, 0.9990640878677368, 0.9988887310028076, 0.9986965656280518, 0.9980895519256592, 0.9980239272117615, 0.9976445436477661, 0.9967928528785706, 0.9862234592437744]
+Cc1ccc(C(=O)NCCO)cc1Nc1nccs1; [None]; [None]; [0]
 Cn1nc(Nc2nccs2)cc1C(C)(C)O; [None]; [None]; [0]
-O=c1c2c(F)cccc2cnn1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-Cc1c(Cc2ccc3c(c2)OCO3)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(Cc3ccc4c(c3)OCO4)c2c1; [None]; [None]; [0]
-CN1c2ccc(Cc3ccc4c(c3)OCO4)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(Cc2ccc3c(c2)OCO3)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(Cc2ccc3c(c2)OCO3)nn1; [None]; [None]; [0]
-[NH3+]Cc1ccc(Cc2ccc3c(c2)OCO3)cc1C(F)(F)F; [None]; [None]; [0]
-O=c1[nH]cc(Br)c2sc(Cc3ccc4c(c3)OCO4)cc12; [None]; [None]; [0]
-[NH3+]CCn1ccc(Cc2ccc3c(c2)OCO3)n1; [None]; [None]; [0]
-CC1(C)Oc2ccc(Cc3ccc4c(c3)OCO4)nc2NC1=O; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1Cc1ccc2c(c1)OCO2; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(Cc3ccc4c(c3)OCO4)c2)cc1; [None]; [None]; [0]
-c1cc(Cc2ccc3c(c2)OCO3)c2snnc2c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(Cc2ccc3c(c2)OCO3)n1; [None]; [None]; [0]
+Fc1ccccc1CNCc1ccc2c(c1)OCO2; ['ClCc1ccc2c(c1)OCO2', 'Fc1ccccc1CCl', 'BrCc1ccc2c(c1)OCO2', 'Fc1ccccc1CBr', 'NCc1ccccc1F', 'NCc1ccc2c(c1)OCO2', 'NCc1ccccc1F', 'NCc1ccc2c(c1)OCO2']; ['NCc1ccccc1F', 'NCc1ccc2c(c1)OCO2', 'NCc1ccccc1F', 'NCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2', 'OCc1ccccc1F', 'OCc1ccc2c(c1)OCO2', 'O=Cc1ccccc1F']; [0.9998786449432373, 0.9995310306549072, 0.999294638633728, 0.9991272687911987, 0.9985983371734619, 0.9983035326004028, 0.9981289505958557, 0.9809526205062866]
+Clc1ccc(CNCc2ccc3c(c2)OCO3)cc1; ['Clc1ccc(CBr)cc1', 'BrCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'ClCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'ClCc1ccc2c(c1)OCO2', 'NCc1ccc(Cl)cc1', 'NCc1ccc2c(c1)OCO2', 'N#Cc1ccc2c(c1)OCO2']; ['NCc1ccc2c(c1)OCO2', 'NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'NCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'NCc1ccc(Cl)cc1', 'O=Cc1ccc2c(c1)OCO2', 'O=Cc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9986213445663452, 0.9978593587875366, 0.9967669248580933, 0.993406355381012, 0.993388295173645, 0.9926887154579163, 0.9847744703292847, 0.9814333915710449, 0.8743369579315186]
+c1ccc(OCc2ccc3c(c2)OCO3)nc1; ['ClCc1ccc2c(c1)OCO2', 'Clc1ccccn1', 'BrCc1ccc2c(c1)OCO2', 'Brc1ccccn1', 'Ic1ccccn1', 'OCc1ccc2c(c1)OCO2', 'Fc1ccccn1']; ['Oc1ccccn1', 'OCc1ccc2c(c1)OCO2', 'Oc1ccccn1', 'OCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'Oc1ccccn1', 'OCc1ccc2c(c1)OCO2']; [0.9928356409072876, 0.9924380779266357, 0.98114013671875, 0.9394737482070923, 0.8980876207351685, 0.8312169909477234, 0.7731643319129944]
+c1ccc(CCNCc2ccc3c(c2)OCO3)cc1; ['ClCCc1ccccc1', 'Cc1ccc(S(=O)(=O)OCCc2ccccc2)cc1', 'ClCc1ccc2c(c1)OCO2', 'BrCc1ccc2c(c1)OCO2', 'NCCc1ccccc1', 'NCc1ccc2c(c1)OCO2', 'CS(=O)(=O)OCCc1ccccc1', 'BrCCc1ccccc1', 'ICCc1ccccc1', 'NCCc1ccccc1', 'NCc1ccc2c(c1)OCO2', 'NCCc1ccccc1', 'C=Cc1ccccc1', 'N#Cc1ccc2c(c1)OCO2']; ['NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'NCCc1ccccc1', 'NCCc1ccccc1', 'O=Cc1ccc2c(c1)OCO2', 'O=CCc1ccccc1', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'OCCc1ccccc1', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'NCCc1ccccc1']; [0.9995303153991699, 0.99950110912323, 0.999491810798645, 0.9991182088851929, 0.9986439943313599, 0.997758686542511, 0.9976744055747986, 0.9975507259368896, 0.9959850311279297, 0.9929916262626648, 0.9862077236175537, 0.9824212789535522, 0.9746663570404053, 0.9534074068069458]
+c1nc(CCNCc2ccc3c(c2)OCO3)c[nH]1; ['BrCc1ccc2c(c1)OCO2', 'NCCc1c[nH]cn1', 'ClCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'NCCc1c[nH]cn1']; ['NCCc1c[nH]cn1', 'O=Cc1ccc2c(c1)OCO2', 'NCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'NCc1ccc2c(c1)OCO2']; [0.9996887445449829, 0.999645471572876, 0.9975011348724365, 0.9971466064453125, 0.9933127760887146]
+c1cc(NCc2ccc3c(c2)OCO3)ccn1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'NCc1ccc2c(c1)OCO2', 'BrCc1ccc2c(c1)OCO2', 'ClCc1ccc2c(c1)OCO2', 'Ic1ccncc1', 'Brc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Clc1ccncc1', 'O=Cc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'Fc1ccncc1', 'N#Cc1ccc2c(c1)OCO2']; ['NCc1ccc2c(c1)OCO2', 'OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'O=[N+]([O-])c1ccncc1', 'O=[N+]([O-])c1ccncc1', 'NCc1ccc2c(c1)OCO2', 'Nc1ccncc1']; [0.999955952167511, 0.9997948408126831, 0.9997705221176147, 0.999572217464447, 0.9989862442016602, 0.9989237785339355, 0.997585117816925, 0.997573733329773, 0.9950253963470459, 0.9933301210403442, 0.9907506704330444, 0.9852184057235718, 0.9583775997161865]
+C[C@H](CS(C)(=O)=O)Nc1nccs1; [None]; [None]; [0]
+CC(C)(COCc1ccc2c(c1)OCO2)S(C)(=O)=O; [None]; [None]; [0]
+CCN(CC)Cc1ccc2c(c1)OCO2; ['CCNCC', 'BrCc1ccc2c(c1)OCO2', 'CCNCC', 'CCN(C=O)CC', 'CCNCC', None, 'CC(=O)OCc1ccc2c(c1)OCO2', None, None, 'Brc1ccc2c(c1)OCO2', 'CCNCC', None, 'CCN(CC)C[B-](F)(F)F', None]; ['ClCc1ccc2c(c1)OCO2', 'CCNCC', 'OCc1ccc2c(c1)OCO2', 'ClCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2', None, 'CCNCC', None, None, 'CCN(CC)C[B-](F)(F)F', 'N#Cc1ccc2c(c1)OCO2', None, 'Clc1ccc2c(c1)OCO2', None]; [0.9965105652809143, 0.9768334627151489, 0.9746347665786743, 0.9653290510177612, 0.9501650929450989, 0, 0.9256238341331482, 0, 0, 0.9014930725097656, 0.8152292966842651, 0, 0.7934510111808777, 0]
+COc1ccncc1NCc1ccc2c(c1)OCO2; ['COc1ccncc1F', 'COc1ccncc1Cl', 'BrCc1ccc2c(c1)OCO2', 'COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1B1OC(C)(C)C(C)(C)O1', 'COc1ccncc1N']; ['NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'COc1ccncc1N', 'ClCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2']; [0.9998799562454224, 0.9998631477355957, 0.9995853304862976, 0.9991888403892517, 0.9989122152328491, 0.9980733394622803, 0.9919228553771973, 0.9914456605911255, 0.970977246761322]
+Nc1nc(Cc2ccc3c(c2)OCO3)cs1; [None]; [None]; [0]
+c1ccc2ncc(NCc3ccc4c(c3)OCO4)cc2c1; ['ClCc1ccc2c(c1)OCO2', 'BrCc1ccc2c(c1)OCO2', 'Ic1cnc2ccccc2c1', 'Fc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2']; [0.9997570514678955, 0.9996830224990845, 0.9995034337043762, 0.995241641998291, 0.9926127195358276, 0.9923961162567139, 0.9852714538574219, 0.969068169593811]
+c1ccc(-c2ccncc2NCc2ccc3c(c2)OCO3)cc1; ['NCc1ccc2c(c1)OCO2', 'Brc1cnccc1-c1ccccc1', 'ClCc1ccc2c(c1)OCO2', 'BrCc1ccc2c(c1)OCO2', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; ['OB(O)c1cnccc1-c1ccccc1', 'NCc1ccc2c(c1)OCO2', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'O=Cc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2']; [0.9967880249023438, 0.9955192804336548, 0.9933546185493469, 0.9826405048370361, 0.8979318141937256, 0.8172237873077393]
+C[C@@H](OCc1ccc2c(c1)OCO2)c1c(Cl)cncc1Cl; ['BrCc1ccc2c(c1)OCO2', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'OCc1ccc2c(c1)OCO2', 'ClCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2']; [0.9962995052337646, 0.9880671501159668, 0.9856435060501099, 0.9603941440582275]
+O=C(NCc1ccc2c(c1)OCO2)c1c(Cl)cccc1Cl; ['Clc1cccc(Cl)c1Br', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'BrCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', None, None, None, 'NCc1ccc2c(c1)OCO2', 'Cc1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'NCc1ccc2c(c1)OCO2', 'COC(=O)c1c(Cl)cccc1Cl', 'CCOC(=O)c1c(Cl)cccc1Cl', 'Cc1ccc2c(c1)OCO2', 'CC(=O)c1c(Cl)cccc1Cl', 'ClCc1ccc2c(c1)OCO2', 'NC(=O)c1c(Cl)cccc1Cl', 'N#Cc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1']; ['NCc1ccc2c(c1)OCO2', 'O=C(Cl)c1c(Cl)cccc1Cl', 'OCc1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', None, None, None, 'O=Cc1c(Cl)cccc1Cl', 'NCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'O=C([O-])c1c(Cl)cccc1Cl', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'NC(=O)c1c(Cl)cccc1Cl', 'NCc1ccc2c(c1)OCO2', 'NC(=O)c1c(Cl)cccc1Cl', 'O=Cc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'O=C=NCc1ccc2c(c1)OCO2']; [0.9999949932098389, 0.999767541885376, 0.9992194771766663, 0.9989290237426758, 0.998832106590271, 0, 0, 0, 0.9963767528533936, 0.9938161373138428, 0.9889370203018188, 0.9882336854934692, 0.9873054623603821, 0.9810214042663574, 0.9801304340362549, 0.9799603223800659, 0.9732950925827026, 0.9666199684143066, 0.914677083492279, 0.912399411201477, 0.863612949848175]
+CS(=O)(=O)C1CCN(Cc2ccc3c(c2)OCO3)CC1; ['CS(=O)(=O)C1CCNCC1', 'BrCc1ccc2c(c1)OCO2', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', None, 'BrCc1ccc2c(c1)OCO2', 'CC(C)(C)OC(=O)N1CCC(S(C)(=O)=O)CC1']; ['ClCc1ccc2c(c1)OCO2', 'CS(=O)(=O)C1CCNCC1', 'OCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2', None, 'CC(C)(C)OC(=O)N1CCC(S(C)(=O)=O)CC1', 'O=Cc1ccc2c(c1)OCO2']; [0.9999952912330627, 0.9999780654907227, 0.9999520778656006, 0.9997209906578064, 0, 0.9986278414726257, 0.9770384430885315]
+C[C@H](NCc1ccc2c(c1)OCO2)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@H](NCc1ccc2c(c1)OCO2)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'BrCc1ccc2c(c1)OCO2', 'CC(=O)C(C)(C)O', 'C[C@H](N)C(C)(C)O', None]; ['ClCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2', 'C[C@H](N)C(C)(C)O', 'NCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', None]; [0.9977971315383911, 0.996512234210968, 0.9930680990219116, 0.9781990051269531, 0.9755061864852905, 0]
+C[C@@H](NCc1ccc2c(c1)OCO2)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'BrCc1ccc2c(c1)OCO2', 'C[C@@H](N)C(C)(C)O', 'CC(=O)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['ClCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2', 'C[C@@H](N)C(C)(C)O', 'NCc1ccc2c(c1)OCO2', 'NCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'N#Cc1ccc2c(c1)OCO2']; [0.9977971315383911, 0.996512234210968, 0.9930680990219116, 0.9875591993331909, 0.9781990051269531, 0.9755061864852905, 0.9273946285247803]
+c1ccc2[nH]c(C3CCN(Cc4ccc5c(c4)OCO5)CC3)nc2c1; ['BrCc1ccc2c(c1)OCO2', 'Nc1ccccc1N', 'BrCc1ccc2c(c1)OCO2', 'ClCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2']; ['CC(C)(C)OC(=O)N1CCC(c2nc3ccccc3[nH]2)CC1', 'O=C(O)C1CCN(Cc2ccc3c(c2)OCO3)CC1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9999934434890747, 0.9999780654907227, 0.9999725818634033, 0.9999502301216125, 0.9998865127563477]
+CN(Cc1ccc2c(c1)OCO2)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc2c(c1)OCO2; ['CNC(=O)c1ccccc1Br', 'Brc1ccc2c(c1)OCO2', 'CNC(=O)c1ccccc1', 'CN', 'CNC(=O)c1ccccc1']; ['OB(O)c1ccc2c(c1)OCO2', 'CNC(=O)c1ccccc1B(O)O', 'OB(O)c1ccc2c(c1)OCO2', 'O=C(O)c1ccccc1-c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; [0.9999903440475464, 0.9999679327011108, 0.9996793270111084, 0.9903948307037354, 0.9284170866012573]
+Nc1nc(Cc2ccc3c(c2)OCO3)nc2ccccc12; ['N#Cc1ccccc1N']; ['O=C(O)Cc1ccc2c(c1)OCO2']; [0.9935653805732727]
+C1=C(c2c[nH]c3ccccc23)CCN(Cc2ccc3c(c2)OCO3)C1; ['BrCc1ccc2c(c1)OCO2', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'ClCc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2']; [0.9999973177909851, 0.9999853372573853, 0.9993755221366882]
+COc1ccc(OCc2ccc3c(c2)OCO3)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'BrCc1ccc2c(c1)OCO2', 'COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F']; ['ClCc1ccc2c(c1)OCO2', 'COc1ccc(O)c(F)c1F', 'OCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2']; [0.9924163818359375, 0.9920908212661743, 0.9914251565933228, 0.970503568649292, 0.8109228014945984]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc2c(c1)OCO2; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Brc1ccc2c(c1)OCO2', 'CC(C)S(=O)(=O)c1cccc(Br)c1', 'Brc1cccc2c1OCO2']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'OB(O)c1ccc2c(c1)OCO2', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; [0.9999918341636658, 0.9999872446060181, 0.9999772310256958, 0.9999004006385803, 0.999815046787262, 0.9993777275085449]
+Cc1nnc(-c2ccccc2-c2ccc3c(c2)OCO3)[nH]1; [None]; [None]; [0]
+[NH3+]Cc1ccc(OCc2ccc3c(c2)OCO3)c(F)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+CCn1cc(-c2ccc3c(c2)OCO3)cn1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'Brc1ccc2c(c1)OCO2', 'CCn1cc(Br)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1', 'Brc1ccc2c(c1)OCO2']; ['CCn1cc(Br)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'Ic1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'CCn1cc(B(O)O)cn1', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'CCn1cccn1']; [0.999990701675415, 0.9999889135360718, 0.9999866485595703, 0.9999564290046692, 0.9999431371688843, 0.9998815655708313, 0.9998670816421509, 0.9998337626457214, 0.999674916267395, 0.99806809425354, 0.9849762916564941]
+Fc1cc(F)cc(Cc2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
 O=C(Nc1cccc(Cc2ccc3c(c2)OCO3)c1)C1CCNCC1; [None]; [None]; [0]
+c1ccc2c(-c3ccc4c(c3)OCO4)ccnc2c1; ['Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Ic1ccnc2ccccc12', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1ccc2c(c1)OCO2', 'Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Ic1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Clc1ccnc2ccccc12', 'Brc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Brc1ccnc2ccccc12', 'Clc1ccc2c(c1)OCO2', 'OB(O)c1ccnc2ccccc12', 'Br[Mg]c1ccc2c(c1)OCO2', 'Brc1ccnc2ccccc12', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccnc2ccccc12', 'Ic1ccnc2ccccc12']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Ic1ccnc2ccccc12', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccnc2ccccc12', 'Ic1ccnc2ccccc12', 'OCc1ccnc2ccccc12', 'F[B-](F)(F)c1ccc2c(c1)OCO2', 'OB(O)c1ccnc2ccccc12', 'c1ccc2c(c1)OCO2', 'Clc1ccnc2ccccc12', 'c1ccc2c(c1)OCO2', 'c1ccc2ncccc2c1', 'c1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2']; [0.9999985694885254, 0.9999966621398926, 0.9999881982803345, 0.9999806880950928, 0.999975323677063, 0.9999555945396423, 0.9999315142631531, 0.9998902678489685, 0.9998522996902466, 0.999833345413208, 0.9991645216941833, 0.9989603757858276, 0.9960800409317017, 0.9957762956619263, 0.9923181533813477, 0.99222731590271, 0.9888652563095093, 0.9514347910881042, 0.9199949502944946, 0.906522274017334, 0.8928642272949219]
+COC(C)(C)CCc1ccc2c(c1)OCO2; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4c(c3)OCO4)cn2)cc1; ['Brc1ccc2c(c1)OCO2', 'Brc1cnn(Cc2ccccc2)c1', 'Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1ccc2c(c1)OCO2', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Clc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1cnn(Cc2ccccc2)c1', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Ic1ccc2c(c1)OCO2', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Clc1ccc2c(c1)OCO2', 'OB(O)c1cnn(Cc2ccccc2)c1', 'c1ccc(Cn2cccn2)cc1']; [0.9999969005584717, 0.9999929070472717, 0.9999924898147583, 0.9999889731407166, 0.9999731779098511, 0.9999715685844421, 0.9999704360961914, 0.9999246597290039, 0.9997516870498657, 0.9990499019622803, 0.9925568103790283]
+Cn1cnc2ccc(-c3ccc4c(c3)OCO4)cc2c1=O; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Cn1cnc2ccc(Br)cc2c1=O', 'Brc1ccc2c(c1)OCO2']; ['Cn1cnc2ccc(Br)cc2c1=O', 'OB(O)c1ccc2c(c1)OCO2', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9999877214431763, 0.9999499917030334, 0.9728171825408936]
+FC(F)(F)c1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccc2c(c1)OCO2; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'O=C([O-])c1ccccc1']; ['O=C([O-])c1ccccc1', 'OB(O)c1ccc2c(c1)OCO2']; [0.9837793111801147, 0.9831008315086365]
 O=c1c2c(F)cccc2cnn1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccc3c(c2)OCO3)cs1; ['CC(C)(C)C(N)=S', 'Brc1ccc2c(c1)OCO2', 'CC(C)(C)c1nccs1']; ['O=C(CBr)c1ccc2c(c1)OCO2', 'CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1', 'OB(O)c1ccc2c(c1)OCO2']; [0.9999997615814209, 0.9999932050704956, 0.9998338222503662]
+c1ccc(-c2ncc(-c3ccc4c(c3)OCO4)[nH]2)cc1; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; ['c1ccc(-c2ncc[nH]2)cc1', 'c1ccc(-c2ncc[nH]2)cc1']; [0.9994086027145386, 0.8266990780830383]
+OCCn1cc(-c2ccc3c(c2)OCO3)cn1; ['Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(I)cn1', 'Ic1ccc2c(c1)OCO2', 'OCCn1cc(Br)cn1', 'OCCn1cc(I)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1']; [0.9999930262565613, 0.9999830722808838, 0.9999823570251465, 0.9999814033508301, 0.9999804496765137, 0.9999431371688843, 0.9999347925186157, 0.9998565912246704]
+FC(F)(F)Oc1ccccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+CC(C)C(=O)COc1ccc2c(c1)OCO2; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Oc1ccc2c(c1)OCO2', 'Oc1ccc2c(c1)OCO2']; [0.9972937107086182, 0.9521664381027222]
+NC(=O)c1ccccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+COc1cnc(-c2ccc3c(c2)OCO3)nc1; ['COc1cnc(Br)nc1', 'Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'COc1cnc(Cl)nc1', 'Br[Mg]c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'COc1cncnc1', 'COc1cncnc1']; ['OB(O)c1ccc2c(c1)OCO2', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1ccc2c(c1)OCO2', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; [0.9999679327011108, 0.9999171495437622, 0.99991375207901, 0.9998369216918945, 0.9998212456703186, 0.9985777735710144, 0.9907695055007935, 0.9600590467453003, 0.8485455513000488]
+c1ccn2c(-c3ccc4c(c3)OCO4)cnc2c1; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'OB(O)c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999998927116394, 0.9999972581863403, 0.9999931454658508, 0.9999903440475464, 0.9998281002044678, 0.9998207688331604, 0.999649167060852, 0.9951415061950684, 0.9940333366394043, 0.986740231513977]
+O=C(Nc1cccc(-c2ccc3c(c2)OCO3)c1)c1ccccc1; ['Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Clc1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'O=C(Nc1ccccc1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Ic1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2']; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Ic1ccc2c(c1)OCO2', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Clc1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1ccccc1)c1ccccc1', 'OB(O)c1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2', 'O=C(Nc1ccccc1)c1ccccc1', 'O=C(Nc1ccccc1)c1ccccc1']; [0.9999897480010986, 0.999985933303833, 0.9999517202377319, 0.9998491406440735, 0.99983811378479, 0.9997925758361816, 0.9990800023078918, 0.9990562796592712, 0.9977867603302002, 0.9967586994171143, 0.9198256731033325, 0.7519456148147583]
+Cc1nc2ccccn2c1-c1ccc2c(c1)OCO2; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Cc1nc2ccccn2c1I', 'Cc1cn2ccccc2n1', 'Cc1nc2ccccn2c1Br', 'Cc1cn2ccccc2n1', 'Brc1ccc2c(c1)OCO2', 'Cc1cn2ccccc2n1', 'Brc1ccc2c(c1)OCO2', 'Cc1cn2ccccc2n1']; ['Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Cc1cn2ccccc2n1', 'Clc1ccc2c(c1)OCO2', 'Cc1nc2ccccn2c1C(=O)O', 'c1ccc2c(c1)OCO2']; [0.9999986886978149, 0.9999977350234985, 0.9999957084655762, 0.9999924898147583, 0.9999918937683105, 0.9999718070030212, 0.9999469518661499, 0.9997977018356323, 0.998997688293457, 0.9961550235748291]
+c1cnn2c(-c3ccc4c(c3)OCO4)cnc2c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Brc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'c1cnn2ccnc2c1']; [1.0, 0.9999977946281433, 0.9999905824661255]
+Cc1nc(N)sc1-c1ccc2c(c1)OCO2; ['Cc1nc(N)sc1Br', 'CC(=O)Cc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'NC(N)=S', 'Cc1csc(N)n1']; [0.9999852776527405, 0.9994924664497375, 0.9886057376861572]
+Cc1nc(C)c(-c2ccc3c(c2)OCO3)s1; ['Brc1ccc2c(c1)OCO2', 'Cc1nc(C)c(Br)s1', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1', 'Brc1ccc2c(c1)OCO2', 'Cc1csc(C)n1']; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Cc1csc(C)n1', 'Clc1ccc2c(c1)OCO2']; [0.9999697208404541, 0.9999383687973022, 0.9998374581336975, 0.9967932105064392, 0.9937371015548706, 0.9550318717956543]
+CNc1nc(C)c(-c2ccc3c(c2)OCO3)s1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+Cc1ccc(-c2ccc3c(c2)OCO3)c(Br)c1; [None]; [None]; [0]
+c1cc(Cn2cncn2)cc(-c2ccc3c(c2)OCO3)c1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; ['c1ccc(Cn2cncn2)cc1', 'c1ccc(Cn2cncn2)cc1', 'c1ccc(Cn2cncn2)cc1', 'c1ccc(Cn2cncn2)cc1']; [0.9997010827064514, 0.9969633221626282, 0.946100115776062, 0.921630859375]
+c1cncc(CNc2ccc3c(c2)OCO3)c1; ['NCc1cccnc1', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'BrCc1cccnc1', 'Fc1ccc2c(c1)OCO2', 'ClCc1cccnc1', 'Ic1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'O=Cc1cccnc1']; ['OB(O)c1ccc2c(c1)OCO2', 'NCc1cccnc1', 'Nc1ccc2c(c1)OCO2', 'NCc1cccnc1', 'Nc1ccc2c(c1)OCO2', 'NCc1cccnc1', 'NCc1cccnc1', 'OCc1cccnc1', 'O=Cc1cccnc1', 'NCc1cccnc1', 'O=[N+]([O-])c1ccc2c(c1)OCO2']; [0.9998939037322998, 0.9988648891448975, 0.9987305402755737, 0.9975818395614624, 0.9974088668823242, 0.9970207214355469, 0.9963971376419067, 0.9945038557052612, 0.9824275970458984, 0.972812831401825, 0.9541381597518921]
+Clc1cccc(Cl)c1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+Brc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+c1cncc(Nc2ccc3c(c2)OCO3)c1; ['Nc1cccnc1', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Brc1cccnc1', 'Ic1cccnc1', 'Clc1cccnc1', 'Clc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'Nc1cccnc1', 'Nc1cccnc1', 'Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Nc1cccnc1', 'OB(O)c1cccnc1']; [0.9999753832817078, 0.9998780488967896, 0.9996260404586792, 0.9995615482330322, 0.9989792704582214, 0.9982953071594238, 0.997708797454834, 0.9963937997817993]
 Cc1c(-c2ccc3c(c2)OCO3)sc(=O)n1C; [None]; [None]; [0]
+O=C(Nc1ccc2c(c1)OCO2)c1cccs1; ['Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'CCOC(=O)c1cccs1', 'COC(=O)c1cccs1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'NC(=O)c1cccs1', 'Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2']; [0.9999934434890747, 0.9999428391456604, 0.9982658624649048, 0.9964851140975952, 0.9950779676437378]
+Nc1nccc(-c2ccc3c(c2)OCO3)n1; [None]; [None]; [0]
+c1ccc2c(c1)ncn2-c1ccc2c(c1)OCO2; ['OB(O)c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9994697570800781, 0.9979428052902222, 0.9900667667388916, 0.9560826420783997, 0.9394901990890503]
 c1cnn2ncc(-c3ccc4c(c3)OCO4)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc3c(c2)OCO3)o1; [None]; [None]; [0]
+c1nc(CCNc2ccc3c(c2)OCO3)c[nH]1; ['NCCc1c[nH]cn1', 'Brc1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9999369382858276, 0.9938064813613892, 0.9897384643554688, 0.9570304155349731, 0.9487437009811401, 0.848311185836792]
+c1ccc2cc(-c3ccc4c(c3)OCO4)ccc2c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1ccc2c(c1)OCO2; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'NC(=O)c1c(F)cccc1Br', 'Ic1ccc2c(c1)OCO2']; ['NC(=O)c1c(F)cccc1Br', 'OB(O)c1ccc2c(c1)OCO2', 'NC(=O)c1ccccc1F']; [0.9999997615814209, 0.9999969005584717, 0.9747816324234009]
+O=C([O-])Cc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+c1ccc2c(-c3ccc4c(c3)OCO4)cncc2c1; [None]; [None]; [0]
+c1ccc(CCNc2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccc4c(c3)OCO4)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc4c(c3)OCO4)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ccc4c(c3)OCO4)cc2CS1(=O)=O; [None]; [None]; [0]
-CC(C)n1cc(-c2ccc3c(c2)OCO3)nn1; [None]; [None]; [0]
+Clc1ccc(CNc2ccc3c(c2)OCO3)cc1; ['Clc1ccc(CBr)cc1', 'NCc1ccc(Cl)cc1', 'Ic1ccc2c(c1)OCO2', 'ClCc1ccc(Cl)cc1', 'Nc1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2', 'O=[N+]([O-])c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'O=Cc1ccc(Cl)cc1']; ['Nc1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'NCc1ccc(Cl)cc1', 'Nc1ccc2c(c1)OCO2', 'OCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1', 'O=[N+]([O-])c1ccc2c(c1)OCO2']; [0.9996120929718018, 0.9981434345245361, 0.9956024885177612, 0.9936056733131409, 0.9928703904151917, 0.9896047115325928, 0.9812233448028564, 0.9797146320343018, 0.9671249389648438, 0.9558398127555847]
+Cn1ncc2cc(-c3ccc4c(c3)OCO4)ccc21; [None]; [None]; [0]
+CC(C)n1cc(-c2ccc3c(c2)OCO3)nn1; ['C#Cc1ccc2c(c1)OCO2', 'CC(C)n1ccnn1']; ['CC(C)N=[N+]=[N-]', 'Ic1ccc2c(c1)OCO2']; [0.9999937415122986, 0.998640775680542]
+c1cc(-c2ccc3c(c2)OCO3)ccc1-c1cn[nH]c1; [None]; [None]; [0]
+c1cc(Nc2ccc3c(c2)OCO3)ccn1; ['Nc1ccncc1', 'Brc1ccncc1', 'Brc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Clc1ccncc1', 'Ic1ccncc1', 'Ic1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Fc1ccncc1', 'Nc1ccc2c(c1)OCO2', 'Nc1ccncc1', 'CC(=O)Nc1ccc2c(c1)OCO2', 'CC(=O)Nc1ccncc1', 'Nc1ccc2c(c1)OCO2', 'Brc1ccncc1', 'Brc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Nc1ccncc1', 'OB(O)c1ccncc1', 'Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccc2c(c1)OCO2', 'Nc1ccncc1', 'Oc1ccc2c(c1)OCO2', 'Ic1ccncc1', 'Ic1ccc2c(c1)OCO2', 'Oc1ccncc1', 'CC(=O)Nc1ccc2c(c1)OCO2', 'CC(=O)Nc1ccncc1']; [0.9999598264694214, 0.9998846054077148, 0.9998766183853149, 0.9998616576194763, 0.9997168779373169, 0.9996730089187622, 0.9996728301048279, 0.9993386268615723, 0.9985340237617493, 0.995482861995697, 0.9950286746025085, 0.9945360422134399, 0.9812592267990112, 0.9808824062347412, 0.9802372455596924, 0.9791377186775208, 0.9788739681243896]
+Fc1ccccc1CNc1ccc2c(c1)OCO2; ['NCc1ccccc1F', 'Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'COC(OC)c1ccccc1F', 'Fc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'OCc1ccccc1F', 'O=Cc1ccccc1F', 'Nc1ccc2c(c1)OCO2', 'NCc1ccccc1F']; [0.9998139142990112, 0.9996558427810669, 0.999380350112915, 0.9954968094825745, 0.995071530342102, 0.9856234788894653, 0.9780450463294983, 0.9683136940002441, 0.961852490901947, 0.9152394533157349]
+CCCn1cnc(-c2ccc3c(c2)OCO3)n1; [None]; [None]; [0]
 COc1cc(-c2ccc3c(c2)OCO3)ccc1C(=O)[O-]; [None]; [None]; [0]
-c1cc2c(cc1CCc1c[nH]nn1)OCO2; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ccc2c(c1)OCO2; [None]; [None]; [0]
+Oc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+OCc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+Nc1nc(-c2ccc3c(c2)OCO3)cs1; ['NC(N)=S', 'CC(=O)c1ccc2c(c1)OCO2', None]; ['O=C(CBr)c1ccc2c(c1)OCO2', 'NC(N)=S', None]; [0.9999967217445374, 0.9999767541885376, 0]
+Nc1ncncc1-c1ccc2c(c1)OCO2; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Nc1ncncc1I', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Nc1ncncc1Br', 'Nc1ncncc1Cl', None, 'Brc1ccc2c(c1)OCO2']; ['Nc1ncncc1I', 'OB(O)c1ccc2c(c1)OCO2', 'Nc1ncncc1Br', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', None, 'Nc1ncncc1Br']; [0.9999997615814209, 0.9999994039535522, 0.9999984502792358, 0.9999973773956299, 0.999974250793457, 0, 0.9988135099411011]
+c1cc2c(cc1CCc1c[nH]nn1)OCO2; ['Cc1c[nH]nn1', 'BrCc1ccc2c(c1)OCO2']; ['ClCc1ccc2c(c1)OCO2', 'Cc1c[nH]nn1']; [0.9363176822662354, 0.8193329572677612]
+c1ncc2c(-c3ccc4c(c3)OCO4)csc2n1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; [0.999995231628418, 0.9999806880950928, 0.999935507774353]
+CC(C)c1oncc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+CSc1nc(-c2ccc3c(c2)OCO3)c[nH]1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ccc4c(c3)OCO4)cc2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+c1ccc(Oc2ccc3c(c2)OCO3)nc1; ['Clc1ccccn1', 'Brc1ccccn1', 'Brc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Ic1ccccn1', 'Fc1ccccn1', 'Oc1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; ['Oc1ccc2c(c1)OCO2', 'Oc1ccc2c(c1)OCO2', '[O-]c1ccccn1', '[O-]c1ccccn1', 'Oc1ccc2c(c1)OCO2', 'Oc1ccc2c(c1)OCO2', '[O-][n+]1ccccc1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1']; [0.999722957611084, 0.9985207319259644, 0.9974755048751831, 0.9971424341201782, 0.9951934218406677, 0.9951804280281067, 0.9936424493789673, 0.9832686185836792, 0.981032133102417, 0.9650359749794006, 0.9646655321121216]
+CCNc1nc2ccc(-c3ccc4c(c3)OCO4)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
+Fc1ccc(-c2ccc3c(c2)OCO3)c(C(F)(F)F)c1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ccc3c(c2)OCO3)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'Brc1ccc2c(c1)OCO2', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'CS(=O)(=O)C1CCNCC1', 'Fc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; [0.9988107681274414, 0.9864329695701599, 0.9856442213058472, 0.9805091023445129, 0.9600614309310913]
+CC(C)(O)CC(=O)NCCc1ccc2c(c1)OCO2; ['CCOC(=O)CC(C)(C)O', 'CC(C)(O)CC#N', 'COC(=O)CC(C)(C)O', 'CC(C)(O)CC(=O)[O-]', 'CC(C)(O)CC(=O)O']; ['NCCc1ccc2c(c1)OCO2', 'NCCc1ccc2c(c1)OCO2', 'NCCc1ccc2c(c1)OCO2', 'NCCc1ccc2c(c1)OCO2', 'NCCc1ccc2c(c1)OCO2']; [0.9994931221008301, 0.9992989897727966, 0.9985356330871582, 0.998306393623352, 0.9940743446350098]
+Cn1cc(-c2ccc3c(c2)OCO3)c2ccccc21; ['Brc1ccc2c(c1)OCO2', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Brc1ccc2c(c1)OCO2', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Clc1ccc2c(c1)OCO2', 'Cn1ccc2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1ccc2c(c1)OCO2', 'Cn1ccc2ccccc21', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Cn1ccc2ccccc21', 'Nc1ccc2c(c1)OCO2']; [0.9999175667762756, 0.9997144937515259, 0.9993431568145752, 0.9991737604141235, 0.997805118560791, 0.9966192245483398, 0.9872769713401794]
+O=C(Nc1ccc2c(c1)OCO2)c1c(Cl)cccc1Cl; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Nc1ccc2c(c1)OCO2', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Ic1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', None, 'Ic1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'NC(=O)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'Nc1ccc2c(c1)OCO2', 'O=C(Cl)c1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl', 'Ic1ccc2c(c1)OCO2', 'Clc1cccc(Cl)c1', 'COC(=O)c1c(Cl)cccc1Cl']; ['Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'O=C(Cl)c1c(Cl)cccc1Cl', 'O=C=Nc1ccc2c(c1)OCO2', 'O=C=Nc1ccc2c(c1)OCO2', 'NCc1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', None, 'NC(=O)c1c(Cl)cccc1Cl', 'OCc1c(Cl)cccc1Cl', 'Nc1ccc2c(c1)OCO2', 'O=C=Nc1ccc2c(c1)OCO2', 'O=Cc1c(Cl)cccc1Cl', 'O=[N+]([O-])c1ccc2c(c1)OCO2', 'c1cc2c(cc1-n1cnnn1)OCO2', 'N#Cc1c(Cl)cccc1Cl', 'O=C=Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2']; [0.9999659657478333, 0.9999238848686218, 0.9992947578430176, 0.9991186261177063, 0.9990328550338745, 0.9985027313232422, 0.9978958368301392, 0.9965288639068604, 0, 0.9945025444030762, 0.9938478469848633, 0.9833230972290039, 0.9807835817337036, 0.9756699800491333, 0.9756292104721069, 0.9745631217956543, 0.9609323740005493, 0.9265731573104858, 0.8691081404685974]
+NC(=O)CCCc1ccc2c(c1)OCO2; [None]; [None]; [0]
 CC(C)(COc1ccc2c(c1)OCO2)S(C)(=O)=O; [None]; [None]; [0]
-O=C(Nc1ccc2c(c1)OCO2)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+c1ccn2ncc(-c3ccc4c(c3)OCO4)c2c1; ['Ic1cnn2ccccc12', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1cnn2ccccc12', 'Brc1cnn2ccccc12', 'OB(O)c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Clc1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Ic1cnn2ccccc12', 'Ic1ccc2c(c1)OCO2', 'Brc1cnn2ccccc12', 'Oc1ccc2c(c1)OCO2', 'NNc1ccc2c(c1)OCO2', 'Clc1cnn2ccccc12', 'Clc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1cnn2ccccc12', 'OB(O)c1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'c1ccn2nccc2c1', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'OB(O)c1cnn2ccccc12', 'O=C(O)c1cnn2ccccc12', 'O=C(O)c1cnn2ccccc12', 'c1ccn2nccc2c1', 'c1ccc2c(c1)OCO2', 'c1ccn2nccc2c1', 'c1ccc2c(c1)OCO2', 'c1ccn2nccc2c1', 'c1ccn2nccc2c1', 'c1ccc2c(c1)OCO2', 'c1ccn2nccc2c1']; [0.9999978542327881, 0.9999969005584717, 0.9999937415122986, 0.9999912977218628, 0.9999867677688599, 0.9999080896377563, 0.9999046325683594, 0.9998750686645508, 0.9998499751091003, 0.9995772838592529, 0.9984361529350281, 0.9976675510406494, 0.9963895082473755, 0.9959933757781982, 0.9951144456863403, 0.9909303188323975, 0.988654375076294, 0.986258864402771, 0.9717534780502319, 0.869483232498169, 0.8677560091018677, 0.8330086469650269, 0.8149509429931641]
+CCCn1cc(-c2ccc3c(c2)OCO3)cn1; ['Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CCCn1cc(I)cn1', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1ccc2c(c1)OCO2', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1', 'Brc1ccc2c(c1)OCO2']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(Br)cn1', 'OB(O)c1ccc2c(c1)OCO2', 'CCCn1cc(I)cn1', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'CCCn1cc(B(O)O)cn1', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'CCCn1cccn1']; [0.9999962449073792, 0.9999953508377075, 0.9999911785125732, 0.9999911189079285, 0.9999847412109375, 0.9999819993972778, 0.9999692440032959, 0.9999658465385437, 0.999915599822998, 0.9951472282409668]
+COc1ccc(-c2ccc3c(c2)OCO3)cc1Cl; [None]; [None]; [0]
+O=c1cc(-c2ccc3c(c2)OCO3)cc[nH]1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1ccc2c(c1)OCO2', 'O=c1cc(Br)cc[nH]1', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'O=c1cc(Cl)cc[nH]1']; ['O=c1cc(Br)cc[nH]1', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'O=c1cc(Cl)cc[nH]1', 'OB(O)c1ccc2c(c1)OCO2']; [0.9999164342880249, 0.9998577237129211, 0.9996567964553833, 0.9994795918464661, 0.9983883500099182, 0.9982165694236755]
+C[S@](=O)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['Brc1ccc2c(c1)OCO2', 'CS(=O)c1ccc(Br)cc1']; ['CS(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2c(c1)OCO2']; [0.9996720552444458, 0.9985839128494263]
+CC(C)(N)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2']; [0.999942421913147, 0.999830961227417, 0.9974985718727112, 0.9971153736114502]
 [NH3+]Cc1ccc(-c2ccc3c(c2)OCO3)cc1C(F)(F)F; [None]; [None]; [0]
+O=C1CCc2cccc(-c3ccc4c(c3)OCO4)c21; [None]; [None]; [0]
+COc1cc(CCc2ccc3c(c2)OCO3)cc(OC)c1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+CCN(CC)c1ccc2c(c1)OCO2; [None, None, None, 'CCI', 'CCBr', None, 'CCNc1ccc2c(c1)OCO2', 'CCOS(=O)(=O)OCC', 'CCCl', 'CC(=O)O', None, 'Brc1ccc2c(c1)OCO2', 'CCOP(=O)(OCC)OCC', None, 'CCNCC', 'CCNCC']; [None, None, None, 'CCNc1ccc2c(c1)OCO2', 'CCNc1ccc2c(c1)OCO2', None, 'CCOS(=O)(=O)OCC', 'Nc1ccc2c(c1)OCO2', 'CCNc1ccc2c(c1)OCO2', 'CCNc1ccc2c(c1)OCO2', None, 'CCNCC', 'Nc1ccc2c(c1)OCO2', None, 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; [0, 0, 0, 0.9800348281860352, 0.9776213765144348, 0, 0.9748237133026123, 0.9722459316253662, 0.9721982479095459, 0.918694794178009, 0, 0.91517174243927, 0.9060512185096741, 0, 0.8709053993225098, 0.8659018278121948]
 C[C@@H](Oc1ccc2c(c1)OCO2)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ccc4c(c3)OCO4)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1ccc2c(c1)OCO2; ['COc1ccncc1N', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'COc1ccncc1Cl', 'COc1ccncc1B(O)O', 'COc1ccncc1Br', 'Brc1ccc2c(c1)OCO2', 'COc1ccncc1F', 'COc1ccncc1N', 'COc1ccncc1B1OC(C)(C)C(C)(C)O1', 'COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1N']; ['OB(O)c1ccc2c(c1)OCO2', 'COc1ccncc1N', 'Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'COc1ccncc1N', 'Nc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2']; [0.9999745488166809, 0.9999734163284302, 0.9999711513519287, 0.9997017979621887, 0.9995698928833008, 0.9992398023605347, 0.9990959167480469, 0.998670756816864, 0.9985733032226562, 0.9982472062110901, 0.9982428550720215, 0.9980581998825073]
+CC(C)Oc1cncc(-c2ccc3c(c2)OCO3)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'Brc1ccc2c(c1)OCO2', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'Brc1ccc2c(c1)OCO2', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'Brc1ccc2c(c1)OCO2', 'Br[Mg]c1ccc2c(c1)OCO2', 'CC(C)Oc1cccnc1', 'Brc1ccc2c(c1)OCO2']; ['Ic1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'CC(C)Oc1cncc(B(O)O)c1', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'F[B-](F)(F)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(Br)c1', 'Ic1ccc2c(c1)OCO2', 'CC(C)Oc1cccnc1']; [0.999999463558197, 0.9999991655349731, 0.999998927116394, 0.9999983310699463, 0.9999949932098389, 0.9999934434890747, 0.9999744892120361, 0.9999736547470093, 0.9997315406799316, 0.9996894598007202, 0.9992959499359131, 0.9979804158210754, 0.9884381294250488, 0.9287534952163696]
+c1ccc(-c2ccncc2Nc2ccc3c(c2)OCO3)cc1; ['Nc1cnccc1-c1ccccc1', 'Brc1cnccc1-c1ccccc1', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'OB(O)c1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.9999786019325256, 0.9998070001602173, 0.9997659921646118, 0.999716579914093, 0.9994980692863464, 0.9952061176300049, 0.9855520725250244]
+c1ccc2ncc(Nc3ccc4c(c3)OCO4)cc2c1; ['Nc1cnc2ccccc2c1', 'Brc1ccc2c(c1)OCO2', 'Ic1cnc2ccccc2c1', 'Nc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Fc1cnc2ccccc2c1', 'Fc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'Nc1cnc2ccccc2c1', 'Nc1ccc2c(c1)OCO2', 'OB(O)c1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccc2c(c1)OCO2', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Oc1ccc2c(c1)OCO2', 'Oc1cnc2ccccc2c1']; [0.9999420046806335, 0.9999148845672607, 0.9998229742050171, 0.9997603893280029, 0.999464750289917, 0.999359130859375, 0.9993525743484497, 0.9988337755203247, 0.99852454662323, 0.9983215928077698, 0.997660756111145, 0.9940346479415894]
+CNC(=O)c1c(F)cccc1-c1ccc2c(c1)OCO2; ['CNC(=O)c1ccccc1F', 'CNC(=O)c1ccccc1F', 'CNC(=O)c1ccccc1F']; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; [0.9861762523651123, 0.970203161239624, 0.8147870898246765]
+c1cc2cc(-c3ccc4c(c3)OCO4)cnc2[nH]1; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1ccc2c(c1)OCO2', 'Ic1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Ic1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1ccc2c(c1)OCO2']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Clc1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Clc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Brc1cnc2[nH]ccc2c1']; [0.9999996423721313, 0.9999989867210388, 0.9999986886978149, 0.9999986290931702, 0.9999959468841553, 0.9999938011169434, 0.9999912977218628, 0.9999863505363464, 0.9999818801879883, 0.9999797344207764, 0.9999796748161316, 0.9999518394470215, 0.9993345737457275]
+CC(C)(C)c1ccc(-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3ccc4c(c3)OCO4)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
-CN(c1ccc2c(c1)OCO2)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+c1cc2c(-c3ccc4c(c3)OCO4)c[nH]c2cn1; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1c[nH]c2cnccc12', 'Ic1c[nH]c2cnccc12', 'Brc1ccc2c(c1)OCO2', 'Brc1c[nH]c2cnccc12', 'Ic1ccc2c(c1)OCO2']; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1c[nH]c2cnccc12', 'Ic1ccc2c(c1)OCO2', 'OB(O)c1c[nH]c2cnccc12']; [0.9999687671661377, 0.9999666810035706, 0.9998615384101868, 0.9997848272323608, 0.9808672666549683, 0.940651535987854, 0.8111949563026428]
+Cc1cc(-c2ccc3c(c2)OCO3)n(-c2cccc(Cl)c2)n1; ['CC(=O)/C=C/c1ccc2c(c1)OCO2']; ['NNc1cccc(Cl)c1']; [0.9984800815582275]
+CNS(=O)(=O)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2c(c1)OCO2', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Ic1ccc2c(c1)OCO2', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2']; [0.9999474287033081, 0.9999104738235474, 0.9998831748962402, 0.9998183250427246, 0.9997882843017578, 0.9997092485427856, 0.9996559023857117, 0.9996213316917419, 0.9995146989822388, 0.9993492364883423, 0.9806532859802246]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['Brc1ccc2c(c1)OCO2', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2c(c1)OCO2', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccccc1', 'Brc1ccc2c(c1)OCO2']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Ic1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [0.9999872446060181, 0.9999765157699585, 0.9999759793281555, 0.9999484419822693, 0.9999467134475708, 0.9998626708984375, 0.9996614456176758, 0.9995505809783936, 0.9993910789489746, 0.9981222748756409, 0.997380793094635, 0.823816180229187]
+CS(=O)(=O)c1ccc(-c2ccc3c(c2)OCO3)cc1; ['Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2c(c1)OCO2', 'CS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2c(c1)OCO2', 'CS(=O)(=O)c1ccc(C(=O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'CS(=O)(=O)c1ccc(Cl)cc1', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'CS(=O)(=O)c1ccc(I)cc1', 'Ic1ccc2c(c1)OCO2', 'CS(=O)(=O)c1ccc(Br)cc1', 'Clc1ccc2c(c1)OCO2', 'O=C(O)c1ccc2c(c1)OCO2']; [0.9999863505363464, 0.9999776482582092, 0.9999729990959167, 0.9999696612358093, 0.9999653697013855, 0.9999574422836304, 0.9999485611915588, 0.9999368190765381, 0.9999077320098877, 0.9998873472213745, 0.9998579621315002, 0.9998456239700317, 0.9998049139976501, 0.9990560412406921, 0.9692032337188721, 0.9104065895080566, 0.88541579246521]
 C[C@H](Nc1ccc2c(c1)OCO2)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CN(c1ccc2c(c1)OCO2)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+OCc1ccn(-c2ccc3c(c2)OCO3)n1; ['OB(O)c1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9998469352722168, 0.9939092993736267, 0.9808748960494995, 0.7924805283546448]
+c1cc(N2CCOCC2)ccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1ccc2c(c1)OCO2; ['OB(O)c1ccc2c(c1)OCO2', 'NNc1ccc2c(c1)OCO2', 'Cc1ccccc1N', 'Fc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'c1ccc2[nH]ncc2c1']; ['c1ccc2[nH]ncc2c1', 'O=Cc1ccccc1Br', 'OB(O)c1ccc2c(c1)OCO2', 'c1ccc2n[nH]cc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2c(c1)OCO2']; [0.999993085861206, 0.9999802708625793, 0.9999697804450989, 0.9992370009422302, 0.9992237091064453, 0.9992091655731201, 0.9981331825256348, 0.9978209733963013, 0.9972730875015259, 0.8937125205993652]
+C[C@@H](Nc1ccc2c(c1)OCO2)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'Brc1ccc2c(c1)OCO2', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'CC(=O)C(C)(C)O']; ['OB(O)c1ccc2c(c1)OCO2', 'C[C@@H](N)C(C)(C)O', 'Ic1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2']; [0.9996649026870728, 0.9966833591461182, 0.982501745223999, 0.9347201585769653, 0.9269547462463379, 0.9104862809181213]
+CC1(c2ccc3c(c2)OCO3)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+OCCc1cn(-c2ccc3c(c2)OCO3)cn1; [None]; [None]; [0]
+C[C@H](Nc1ccc2c(c1)OCO2)C(C)(C)O; [None]; [None]; [0]
+Oc1ccc2nc(-c3ccc4c(c3)OCO4)[nH]c2c1; ['Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N']; ['O=C(O)c1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2']; [0.9973959922790527, 0.9865918159484863]
+Fc1cccc(Cl)c1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+c1ncn(-c2ccc(-c3ccc4c(c3)OCO4)cc2)n1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(c2)OCO3)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc3c(c2)OCO3)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
+c1ccc(-c2ccc3nnc(Cc4ccc5c(c4)OCO5)n3n2)cc1; ['NNc1ccc(-c2ccccc2)nn1', 'NNc1ccc(-c2ccccc2)nn1']; ['O=C(O)Cc1ccc2c(c1)OCO2', 'O=C(Cl)Cc1ccc2c(c1)OCO2']; [0.9998011589050293, 0.9996442794799805]
+Nc1nnc(-c2ccc3c(c2)OCO3)s1; ['N#Cc1ccc2c(c1)OCO2', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc2c(c1)OCO2']; [0.9998763203620911, 0.999557375907898]
+c1cc2c(cc1-c1nncn1C1CC1)OCO2; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccc3c(c2)OCO3)n1; [None]; [None]; [0]
-c1ccc(-c2ccc3nnc(Cc4ccc5c(c4)OCO5)n3n2)cc1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4c(c3)OCO4)nn2)cc1; ['BrCc1ccccc1', 'C#Cc1ccc2c(c1)OCO2', 'C#Cc1ccc2c(c1)OCO2']; ['C#Cc1ccc2c(c1)OCO2', '[N-]=[N+]=NCc1ccccc1', 'ClCc1ccccc1']; [1.0, 1.0, 0.9999996423721313]
+O=C(CCc1ccc2c(c1)OCO2)NCc1ccccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3c(c2)OCO3)s1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CNC(=O)c1ccc(Br)s1']; ['CNC(=O)c1ccc(Br)s1', 'OB(O)c1ccc2c(c1)OCO2']; [0.9999971389770508, 0.9999951124191284]
+CCc1cc(-c2ccc3c(c2)OCO3)nc(N)n1; [None]; [None]; [0]
 O=S(=O)(Cc1ccc2c(c1)OCO2)NCc1ccccn1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+CCCCc1cc(-c2ccc3c(c2)OCO3)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc3c(c2)OCO3)n1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2ccc3c(c2)OCO3)c(F)c1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+Nc1cncc(-c2ccc3c(c2)OCO3)n1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'Brc1ccc2c(c1)OCO2']; ['Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'OB(O)c1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Nc1cncc(Cl)n1']; [0.999998927116394, 0.9999967813491821, 0.9999960660934448, 0.9999921917915344, 0.9999774694442749]
+C[C@@H2]NC(=O)N1CCC(c2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
+c1ccc2sc(-c3ccc4c(c3)OCO4)nc2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc3c(c2)OCO3)[nH]1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ccc4c(c3)OCO4)nc2NC1=O; [None]; [None]; [0]
+Nc1nc(-c2ccc3c(c2)OCO3)nc2ccccc12; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Nc1nc(Cl)nc2ccccc12', 'N#Cc1ccccc1Br', 'N#Cc1ccccc1N', 'Ic1ccc2c(c1)OCO2']; ['Nc1nc(Cl)nc2ccccc12', 'OB(O)c1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2', 'O=C(Cl)c1ccc2c(c1)OCO2', 'Nc1ncnc2ccccc12']; [0.9999769926071167, 0.9999651908874512, 0.9998841285705566, 0.9986053705215454, 0.9868544936180115]
+c1ccc2nc(-c3ccc4c(c3)OCO4)ncc2c1; ['N=C(N)c1ccc2c(c1)OCO2', 'N=C(N)c1ccc2c(c1)OCO2', 'Brc1ncc2ccccc2n1', 'Brc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1', 'Brc1ccc2c(c1)OCO2', 'BrCc1ccccc1Br', 'NCc1ccccc1N', 'Nc1ccccc1CO', 'NCc1ccccc1N', 'Ic1ccc2c(c1)OCO2']; ['O=Cc1ccccc1I', 'NCc1ccccc1Br', 'OB(O)c1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ncc2ccccc2n1', 'O=Cc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2', 'O=Cc1ccc2c(c1)OCO2', 'OCc1ccc2c(c1)OCO2', 'c1ccc2ncncc2c1']; [1.0, 0.9999972581863403, 0.9999854564666748, 0.9999716281890869, 0.9999353885650635, 0.9998655319213867, 0.9998645782470703, 0.9996962547302246, 0.9995080828666687, 0.9994202256202698, 0.9730183482170105]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4c(c3)OCO4)c2)cc1; [None]; [None]; [0]
+c1cc(-c2ccc3c(c2)OCO3)c2sccc2c1; [None]; [None]; [0]
+c1cnc2c(-c3ccc4c(c3)OCO4)c[nH]c2c1; ['Ic1c[nH]c2cccnc12', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12', 'Brc1ccc2c(c1)OCO2', 'Clc1c[nH]c2cccnc12', 'Brc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Brc1c[nH]c2cccnc12']; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1c[nH]c2cccnc12', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'OB(O)c1ccc2c(c1)OCO2', 'c1cnc2cc[nH]c2c1', 'c1cnc2cc[nH]c2c1', 'F[B-](F)(F)c1ccc2c(c1)OCO2']; [0.9999995231628418, 0.9999991655349731, 0.9999942779541016, 0.9999844431877136, 0.9999650716781616, 0.9996098279953003, 0.9980849027633667, 0.99688720703125, 0.9954930543899536]
 c1cc(-c2ccc3c(c2)OCO3)c2snnc2c1; [None]; [None]; [0]
+c1cc2cnc(-c3ccc4c(c3)OCO4)nc2[nH]1; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Clc1ncc2cc[nH]c2n1', 'Brc1ccc2c(c1)OCO2', 'Clc1ncc2cc[nH]c2n1', 'Ic1ccc2c(c1)OCO2']; ['Clc1ncc2cc[nH]c2n1', 'OB(O)c1ccc2c(c1)OCO2', 'c1ncc2cc[nH]c2n1', 'F[B-](F)(F)c1ccc2c(c1)OCO2', 'c1ncc2cc[nH]c2n1']; [0.9999938011169434, 0.9999221563339233, 0.9939858317375183, 0.9925516843795776, 0.9740934371948242]
+COc1ccc(C#N)cc1-c1ccc2c(c1)OCO2; ['COc1ccc(C#N)cc1I', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O', 'Brc1ccc2c(c1)OCO2', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1Cl', 'Brc1ccc2c(c1)OCO2', 'Br[Zn]c1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1O', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'Brc1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br', 'Br[Mg]c1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl', 'Br[Mg]c1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1', 'COc1ccc(C#N)cc1Cl', 'Br[Mg]c1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1', 'Brc1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1Br', 'Brc1ccc2c(c1)OCO2']; ['OB(O)c1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1I', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'F[B-](F)(F)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Nc1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2', 'Oc1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1Br', 'F[B-](F)(F)c1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1Cl', 'c1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1Br', 'OB(O)c1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1F', 'Ic1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1', 'COc1ccc2c(c1)OCO2', 'COc1ccc(C#N)cc1OC']; [0.9999983310699463, 0.9999970197677612, 0.9999937415122986, 0.9999935626983643, 0.9999929666519165, 0.9999916553497314, 0.999990701675415, 0.9999827146530151, 0.9999781847000122, 0.999962329864502, 0.9999310374259949, 0.9999193549156189, 0.9999184012413025, 0.9999181032180786, 0.9998660087585449, 0.9997909069061279, 0.9997893571853638, 0.9997501373291016, 0.9997053742408752, 0.999578595161438, 0.9995732307434082, 0.9995541572570801, 0.9994990825653076, 0.9993124008178711, 0.9989111423492432, 0.9988662004470825, 0.9982075691223145, 0.9977915287017822, 0.9975885152816772, 0.9972648620605469, 0.9964751601219177, 0.9924831390380859, 0.9897516965866089, 0.9863259792327881, 0.9773455858230591, 0.9748462438583374, 0.9718793034553528, 0.9717233777046204, 0.9609936475753784, 0.95906662940979]
+CN(C)c1cc(-c2ccc3c(c2)OCO3)cnn1; [None]; [None]; [0]
+COc1ncccc1-c1ccc2c(c1)OCO2; ['CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'COc1ncccc1I', 'COc1ncccc1Br', 'CC1(C)OB(c2ccc3c(c2)OCO3)OC1(C)C', 'Brc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'Brc1ccc2c(c1)OCO2', 'COc1ncccc1Cl', 'Brc1ccc2c(c1)OCO2', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'Brc1ccc2c(c1)OCO2', 'Br[Mg]c1ccc2c(c1)OCO2', 'COc1ccccn1', 'COc1ncccc1Br', 'Br[Mg]c1ccc2c(c1)OCO2', 'COc1ccccn1']; ['COc1ncccc1Br', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'COc1ncccc1I', 'COc1ncccc1I', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1B(O)O', 'OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1ccc2c(c1)OCO2', 'COc1ncccc1Cl', 'Ic1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2', 'F[B-](F)(F)c1ccc2c(c1)OCO2', 'COc1ncccc1Br', 'COc1ncccc1Br', 'OB(O)c1ccc2c(c1)OCO2', 'c1ccc2c(c1)OCO2', 'COc1ncccc1Cl', 'Ic1ccc2c(c1)OCO2']; [0.9999933242797852, 0.9999914169311523, 0.9999873042106628, 0.9999871253967285, 0.9999794363975525, 0.9999788999557495, 0.999954342842102, 0.9999523162841797, 0.9999467730522156, 0.9999172687530518, 0.9998944401741028, 0.9998373985290527, 0.9998003244400024, 0.9997512102127075, 0.9995710849761963, 0.9995580315589905, 0.9990907907485962, 0.9924083948135376, 0.9912006855010986, 0.9910062551498413, 0.9811055660247803, 0.8278014659881592]
+OCCn1cnc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
 COc1ccc(Oc2ccc3c(c2)OCO3)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc3c(c2)OCO3)n1; [None]; [None]; [0]
-O=c1c2c(F)cccc2cnn1-c1ccc(O)cc1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4ccc5c(c4)OCO5)CC3)nc2c1; ['OB(O)c1ccc2c(c1)OCO2', 'Ic1ccc2c(c1)OCO2', 'Brc1ccc2c(c1)OCO2', 'Fc1ccc2c(c1)OCO2', 'Clc1ccc2c(c1)OCO2']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999751627445221, 0.9959976673126221, 0.9951474666595459, 0.9839338064193726, 0.8457244634628296]
+COc1ccc(OC)c(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc3c(c2)OCO3)CC1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O', 'CN', 'CNC(=O)c1ccccc1', 'CNC(=O)c1ccccc1B(O)O', 'CN', None]; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1I', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'COC(=O)c1ccccc1-c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1', 'O=C(O)c1ccccc1-c1ccc(O)cc1', None]; [0.9999954700469971, 0.9999882578849792, 0.9999594688415527, 0.9999421238899231, 0.9998010993003845, 0.9992750883102417, 0.9966129064559937, 0.9935756325721741, 0.9921448230743408, 0.9919023513793945, 0]
+COC(C)(C)CCc1ccc(O)cc1; ['CC(C)(O)CCc1ccc(O)cc1', 'CC(C)(O)CCc1ccc(O)cc1', 'CC(C)(O)CCc1ccc(O)cc1']; ['C[Si](C)(C)C=[N+]=[N-]', 'CO', 'COS(=O)(=O)OC']; [0.943371057510376, 0.9264558553695679, 0.8762520551681519]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3c(c2)OCO3)C1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc(O)cc1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc(O)cc2)[nH]1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ccc3c(c2)OCO3)c1)C1CCNCC1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc(O)cc1; [None]; [None]; [0]
+Oc1ccc(Cc2cc(F)cc(F)c2)cc1; [None]; [None]; [0]
+CCn1cc(-c2ccc(O)cc2)cn1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(Cl)cn1', 'CCn1cccn1', 'CCn1cc(B(O)O)cn1', 'CCOS(=O)(=O)c1ccc(C)cc1', 'CCBr', 'CCn1cc(B(O)O)cn1']; ['CCn1cc(I)cn1', 'CCn1cc(Br)cn1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'Oc1ccc(Cl)cc1']; [0.9999297857284546, 0.9999294281005859, 0.9998817443847656, 0.9995436668395996, 0.9991421699523926, 0.9976837635040283, 0.9959675073623657, 0.9957846403121948, 0.9840730428695679, 0.920068621635437, 0.882643461227417, 0.8780727386474609, 0.8733111619949341]
+CP(C)(=O)c1ccccc1-c1ccc(O)cc1; [None]; [None]; [0]
+Oc1ccc(-c2ccnc3ccccc23)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc(O)cc3)cc2c1=O; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cn1cnc2ccc(Br)cc2c1=O']; ['Cn1cnc2ccc(Br)cc2c1=O', 'OB(O)c1ccc(O)cc1']; [0.9990797638893127, 0.9973547458648682]
+O=C([O-])c1ccccc1-c1ccc(O)cc1; [None]; [None]; [0]
+Oc1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2ccccc2OC(F)(F)F)cc1; [None]; [None]; [0]
+Oc1ccc(-c2cnn(Cc3ccccc3)c2)cc1; ['Brc1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'OCc1ccccc1', 'BrCc1ccccc1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'ClCc1ccccc1', 'OB(O)c1ccc(O)cc1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'c1ccc(Cn2cccn2)cc1']; [0.9999516010284424, 0.9999282360076904, 0.9999256134033203, 0.999880313873291, 0.9997270107269287, 0.9997170567512512, 0.9993383884429932, 0.9992690682411194, 0.9942878484725952, 0.9910697937011719, 0.9902951717376709, 0.9729346036911011, 0.8429244756698608]
+NC(=O)c1ccccc1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'NC(=O)c1ccccc1I', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', None, 'NC(=O)c1ccccc1B(O)O', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', None, 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1I', None, 'O=C(Cl)C(=O)Cl', 'NC(=O)c1ccccc1I', None]; ['NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'OB(O)c1ccc(O)cc1', 'NC(=O)c1ccccc1Cl', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', None, 'Oc1ccc(Br)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccccc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1', None, 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1', None, 'O=C(O)c1ccccc1-c1ccc(O)cc1', 'Oc1ccccc1', None]; [0.999974250793457, 0.999954342842102, 0.9996496438980103, 0.9994304180145264, 0.999218225479126, 0.9990333318710327, 0.9981991052627563, 0, 0.9957410097122192, 0.9956408143043518, 0.9939272403717041, 0.9908934831619263, 0.9888309240341187, 0.98082435131073, 0.9786258935928345, 0, 0.9683774709701538, 0.9597876667976379, 0, 0.8926914930343628, 0.8837171196937561, 0]
+Oc1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1; ['OB(O)c1ccc(O)cc1']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.9954827427864075]
+CC(C)(C)c1nc(-c2ccc(O)cc2)cs1; ['CC(C)(C)C(N)=S']; ['O=C(CBr)c1ccc(O)cc1']; [0.9999992847442627]
+COc1cnc(-c2ccc(O)cc2)nc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'COc1cnc(Cl)nc1', 'CBr', 'CO']; ['COc1cnc(Cl)nc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(-c2ncc(O)cn2)cc1', 'Oc1ccc(-c2ncc(O)cn2)cc1']; [0.9998464584350586, 0.9934146404266357, 0.895869255065918, 0.7535176873207092]
+CC(C)C(=O)COc1ccc(O)cc1; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Oc1ccc(O)cc1', 'Oc1ccc(O)cc1']; [0.9551677703857422, 0.8623310327529907]
+OCCn1cc(-c2ccc(O)cc2)cn1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OCCn1cc(B(O)O)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OB(O)c1ccc(O)cc1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OB(O)c1ccc(O)cc1', 'C1CO1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OB(O)c1ccc(O)cc1', 'OCCI', 'OCCCl', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'OCCBr', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1', 'Cc1ccc(S(=O)(=O)OCCO)cc1', 'OCCn1cc(B(O)O)cn1']; ['OCCn1cc(I)cn1', 'OCCn1cc(Br)cn1', 'Oc1ccc(I)cc1', 'Oc1ccc(I)cc1', 'OCCn1cc(I)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(Cl)cn1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'Oc1ccc(Br)cc1', 'OCCn1cc(Br)cn1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'OCCn1cc(Br)cn1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'Oc1ccc(Cl)cc1']; [0.9999217987060547, 0.9998679161071777, 0.99985671043396, 0.9998207092285156, 0.9998120069503784, 0.9997442960739136, 0.9990442395210266, 0.9989867210388184, 0.9981326460838318, 0.9978070259094238, 0.9960992932319641, 0.9958536624908447, 0.9957054853439331, 0.988091766834259, 0.9828678369522095, 0.982623815536499, 0.9410830140113831, 0.9396533966064453]
+Cc1ccc(-c2ccc(O)cc2)c(Br)c1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1']; [0.9999889135360718, 0.9999467134475708, 0.9980556964874268, 0.994721531867981, 0.9679073095321655, 0.9590117931365967, 0.9568296670913696, 0.9080487489700317, 0.7979535460472107]
+O=C(Nc1cccc(-c2ccc(O)cc2)c1)c1ccccc1; [None]; [None]; [0]
+O=c1c2c(F)cccc2cnn1-c1ccc(O)cc1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3ccccn23)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Brc1cnc2ccccn12', 'Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Brc1cnc2ccccn12', 'OB(O)c1ccc(O)cc1', 'Clc1cnc2ccccn12', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccccc1', 'Oc1ccc(Cl)cc1']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OB(O)c1ccc(O)cc1', 'Clc1cnc2ccccn12', 'OB(O)c1ccc(O)cc1', 'c1ccn2ccnc2c1', 'OB(O)c1ccc(O)cc1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999987483024597, 0.9999986886978149, 0.9999911785125732, 0.9999796748161316, 0.9999343752861023, 0.9999094009399414, 0.9998501539230347, 0.9996484518051147, 0.9989475011825562, 0.985265851020813, 0.9542009830474854]
+Oc1ccc(-c2cc(Cl)ccc2Cl)cc1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cc1cn2ccccc2n1', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1']; ['Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccccc1']; [0.9999842643737793, 0.999940037727356, 0.9998002052307129, 0.999684751033783, 0.9996294975280762, 0.9994381070137024, 0.9964417219161987, 0.9659948945045471]
+Cc1nc(N)sc1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC(=O)Cc1ccc(O)cc1', 'Cc1nc(N)sc1Br']; ['Cc1nc(N)sc1Br', 'NC(N)=S', 'OB(O)c1ccc(O)cc1']; [0.9999932050704956, 0.999977171421051, 0.9999090433120728]
+Cc1nc(C)c(-c2ccc(O)cc2)s1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(Br)s1', 'Cc1csc(C)n1', 'Cc1csc(C)n1', 'Cc1nc(C)c(Br)s1']; ['Cc1nc(C)c(Br)s1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccccc1', 'Oc1ccccc1']; [0.9999926090240479, 0.999843955039978, 0.9998139142990112, 0.9997923374176025, 0.9945394992828369, 0.9551795721054077, 0.941247284412384]
+CNc1nc(C)c(-c2ccc(O)cc2)s1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [1.0, 0.9999997615814209, 0.9999972581863403, 0.9999687671661377, 0.9999047517776489, 0.9914877414703369, 0.9815346598625183, 0.9500178098678589]
+Oc1ccc(NCc2cccnc2)cc1; ['Nc1ccc(O)cc1', 'NCc1cccnc1', 'BrCc1cccnc1', 'ClCc1cccnc1', 'Nc1ccc(O)cc1', 'NCc1cccnc1']; ['OCc1cccnc1', 'Oc1ccc(I)cc1', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'O=Cc1cccnc1', 'Oc1ccc(Br)cc1']; [0.9803539514541626, 0.9626411199569702, 0.9352404475212097, 0.8014117479324341, 0.7961478233337402, 0.779151439666748]
+Oc1ccc(-c2cccc(Cn3cncn3)c2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2c(Cl)cccc2Cl)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC(C)(C)[Si](C)(C)Oc1ccc(B(O)O)cc1', 'CC(C)(C)[Si](C)(C)Oc1ccc(Br)cc1', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1']; [0.9999948740005493, 0.9999881386756897, 0.9998975396156311, 0.9998873472213745, 0.9997220039367676, 0.999488115310669, 0.9993540644645691, 0.999284565448761, 0.998637318611145, 0.9980361461639404, 0.9942016005516052, 0.992548942565918, 0.9917964339256287, 0.9830490946769714, 0.953883171081543, 0.9525431394577026, 0.9460455179214478, 0.8849872350692749, 0.8823021650314331, 0.868213415145874]
+Oc1ccc(Nc2cccnc2)cc1; ['Nc1cccnc1', 'Clc1cccnc1', 'Nc1cccnc1', 'Brc1cccnc1']; ['OB(O)c1ccc(O)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Nc1ccc(O)cc1']; [0.9949966669082642, 0.8742954134941101, 0.8529335260391235, 0.8492991924285889]
+Nc1nccc(-c2ccc(O)cc2)n1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1', None, None]; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', None, None]; [0.9999983310699463, 0.9999927878379822, 0.9998666048049927, 0.9995138049125671, 0.9990917444229126, 0, 0]
+Oc1ccc(-n2cnc3ccccc32)cc1; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(I)cc1', None, 'Oc1ccc(Cl)cc1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', None, 'c1ccc2[nH]cnc2c1']; [0.99830561876297, 0.9979196190834045, 0.9889084100723267, 0.9862328767776489, 0, 0.9621729850769043]
+Cc1ccc(Cl)c(-c2ccc(O)cc2)c1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cc1ccc(Cl)c(Br)c1', 'CC(C)(C)[Si](C)(C)Oc1ccc(B(O)O)cc1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'CC(C)(C)[Si](C)(C)Oc1ccc(Br)cc1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Br)c1', 'C=CCOc1ccc(B(O)O)cc1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c([Mg]Br)c1', 'C=CCOc1ccc(Br)cc1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c([Mg]Br)c1']; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(O)cc1', 'Cc1ccc(Cl)c(Br)c1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'Cc1ccc(Cl)c(Br)c1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(I)cc1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Oc1ccc(Cl)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1']; [0.999995231628418, 0.9999548196792603, 0.9999344944953918, 0.9994915723800659, 0.999104380607605, 0.999000608921051, 0.9988020062446594, 0.9973896741867065, 0.996544361114502, 0.9959235191345215, 0.9948728084564209, 0.9937098026275635, 0.9928140640258789, 0.991661787033081, 0.9900466799736023, 0.9865989089012146, 0.9825987815856934, 0.9736146330833435, 0.9731395244598389, 0.9578355550765991, 0.9555110931396484, 0.949683666229248, 0.8602232933044434, 0.8303922414779663, 0.7987745404243469]
+Oc1ccc(-c2cnn3ncccc23)cc1; ['Brc1cnn2ncccc12', 'Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccccc1']; [0.9999958872795105, 0.9999166131019592, 0.9997372031211853, 0.9996739625930786, 0.8278113007545471]
+Oc1ccc(-c2cccc(Br)c2)cc1; ['Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'CC(C)(C)[Si](C)(C)Oc1ccc(Br)cc1', 'Nc1cccc(Br)c1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Brc1cccc(I)c1', 'OB(O)c1cccc(Br)c1', 'Brc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', None, 'Nc1ccc(O)cc1', 'C=CCOc1ccc(Br)cc1', 'OB(O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Clc1cccc(Br)c1', None, None, 'OB(O)c1cccc(Br)c1', 'Brc1cccc(I)c1', 'Br[Mg]c1cccc(Br)c1', None, 'Br[Mg]c1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC(C)(C)[Si](C)(C)Oc1ccc(B(O)O)cc1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1ccc(O)cc1', 'Clc1cccc(Br)c1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'C=CCOc1ccc(B(O)O)cc1', 'Oc1ccc(Br)cc1', None, 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1', None, None, 'Oc1ccc(Cl)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'Oc1ccc(Br)cc1', None, 'Oc1ccc(Cl)cc1', 'Oc1ccc([B-](F)(F)F)cc1']; [0.9999896287918091, 0.9999648928642273, 0.9999011754989624, 0.9997813701629639, 0.9996302127838135, 0.9996229410171509, 0.9996228218078613, 0.9994530081748962, 0.9994316101074219, 0.9993249773979187, 0.9989805221557617, 0.9989144802093506, 0.9979820251464844, 0, 0.9967167973518372, 0.9949604272842407, 0.993399977684021, 0.9913727045059204, 0.9858615398406982, 0, 0, 0.9549782276153564, 0.9546922445297241, 0.935454249382019, 0, 0.8948796987533569, 0.8220558762550354]
+O=C(Nc1ccc(O)cc1)c1cccs1; ['Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1', 'CCOC(=O)c1cccs1', 'COC(=O)c1cccs1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'Oc1ccc(I)cc1', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1']; [0.997748076915741, 0.9976741671562195, 0.9815385341644287, 0.9442577362060547, 0.905124306678772, 0.8631538152694702]
+Oc1ccc(NCCc2c[nH]cn2)cc1; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; ['Oc1ccc(I)cc1', 'Oc1ccc(O)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1']; [0.9945951104164124, 0.9617376327514648, 0.9532612562179565, 0.9363884925842285, 0.934748649597168]
+Oc1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
 Cc1c(-c2ccc(O)cc2)sc(=O)n1C; [None]; [None]; [0]
-Oc1ccc(-c2cnn3ncccc23)cc1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc(O)cc2)o1; [None]; [None]; [0]
+Oc1ccc(NCCc2ccccc2)cc1; ['Cc1ccc(S(=O)(=O)OCCc2ccccc2)cc1', 'NCCc1ccccc1', 'CS(=O)(=O)OCCc1ccccc1', 'ICCc1ccccc1', 'ClCCc1ccccc1', 'Nc1ccc(O)cc1', 'NCCc1ccccc1', 'BrCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; ['Nc1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'O=CCc1ccccc1', 'Oc1ccc(Br)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(F)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(Cl)cc1']; [0.9949790835380554, 0.9921377897262573, 0.9917666912078857, 0.9861859083175659, 0.9817062020301819, 0.9757879972457886, 0.9751499891281128, 0.9660826921463013, 0.9010797142982483, 0.8700721263885498, 0.828345537185669]
+NC(=O)c1c(F)cccc1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl']; ['NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1']; [0.9999988079071045, 0.9999901652336121, 0.9999170899391174, 0.998763918876648]
+O=C([O-])Cc1cccc(-c2ccc(O)cc2)c1; [None]; [None]; [0]
+Oc1ccc(-c2c[nH]nc2C(F)(F)F)cc1; [None]; [None]; [0]
+Oc1ccc(-c2cncc3ccccc23)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccc(O)cc3)cc2)cn1; [None]; [None]; [0]
+Oc1ccc(NCc2ccc(Cl)cc2)cc1; ['Nc1ccc(O)cc1', 'Clc1ccc(CBr)cc1', 'ClCc1ccc(Cl)cc1', 'O=[N+]([O-])c1ccc(O)cc1', 'NCc1ccc(Cl)cc1']; ['OCc1ccc(Cl)cc1', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'OCc1ccc(Cl)cc1', 'Oc1ccc(I)cc1']; [0.9969849586486816, 0.9947034120559692, 0.983137845993042, 0.9619719982147217, 0.9582558870315552]
+Nc1[nH]nc2cc(-c3ccc(O)cc3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ccc(O)cc3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc(O)cc3)ccc21; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(I)ccc21', 'Oc1ccc(I)cc1', 'Cn1ncc2cc(Cl)ccc21', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Cn1ncc2cc(Br)ccc21', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Br)cc1']; [0.9999995231628418, 0.9999989867210388, 0.9999977350234985, 0.9999955892562866, 0.9999923706054688, 0.9999907612800598, 0.999988317489624, 0.9999845027923584, 0.999980092048645, 0.9999191164970398, 0.9998918175697327, 0.999880850315094, 0.9997043013572693, 0.9995685815811157, 0.9981600046157837, 0.909637451171875]
+Oc1ccc(-c2ccc(-c3cn[nH]c3)cc2)cc1; ['CC1(C)OB(c2ccc(-c3ccc(O)cc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3ccc(O)cc3)cc2)OC1(C)C', 'Brc1cn[nH]c1', 'Brc1ccc(-c2cn[nH]c2)cc1', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'OB(O)c1cn[nH]c1', 'Clc1cn[nH]c1', 'CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'Brc1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Ic1cn[nH]c1', 'OB(O)c1cn[nH]c1', 'Brc1cn[nH]c1', 'OB(O)c1cn[nH]c1', 'Brc1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Clc1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; ['Clc1cn[nH]c1', 'Ic1cn[nH]c1', 'CC1(C)OB(c2ccc(-c3ccc(O)cc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(-c2ccc(I)cc2)cc1', 'Oc1ccc(-c2ccc(Br)cc2)cc1', 'Clc1ccc(-c2cn[nH]c2)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(-c2ccc(I)cc2)cc1', 'OB(O)c1ccc(-c2ccc(O)cc2)cc1', 'Oc1ccc(-c2ccc(Cl)cc2)cc1', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(-c2ccc(O)cc2)cc1', 'Oc1ccc(-c2ccc(Br)cc2)cc1', 'OB(O)c1ccc(-c2ccc(O)cc2)cc1', 'Oc1ccc(-c2ccc(Cl)cc2)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1']; [0.9999629259109497, 0.9999178647994995, 0.9999117851257324, 0.9998413324356079, 0.9998413324356079, 0.9998144507408142, 0.9997109174728394, 0.9996393918991089, 0.9995844960212708, 0.9995844960212708, 0.9990953207015991, 0.9985765218734741, 0.9972795248031616, 0.9970998167991638, 0.9959756135940552, 0.9956996440887451, 0.9936659336090088, 0.9923145771026611, 0.9754070043563843, 0.9410170316696167, 0.9410170316696167, 0.8744764924049377, 0.8744764924049377]
+CCCn1cnc(-c2ccc(O)cc2)n1; [None]; [None]; [0]
+Oc1ccc(Nc2ccncc2)cc1; ['Nc1ccncc1', 'Nc1ccc(O)cc1', 'Clc1ccncc1', 'Nc1ccc(O)cc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1']; ['OB(O)c1ccc(O)cc1', 'OB(O)c1ccncc1', 'Nc1ccc(O)cc1', 'c1cc[n+](-c2ccncc2)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1']; [0.9951428771018982, 0.9894673824310303, 0.9018548727035522, 0.8986576795578003, 0.8444077968597412, 0.823520839214325, 0.785818338394165]
+Oc1ccc(NCc2ccccc2F)cc1; ['Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'NCc1ccccc1F', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; ['Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(I)cc1', 'OCc1ccccc1F', 'O=Cc1ccccc1F', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'O=Cc1ccc(O)cc1']; [0.9981274008750916, 0.9971717596054077, 0.9971057176589966, 0.9944040179252625, 0.9325000047683716, 0.9235974550247192, 0.907431423664093, 0.8958778977394104]
+Oc1ccc(-c2cccc(O)c2)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OB(O)c1ccc(O)cc1', None, 'OB(O)c1cccc(O)c1', None, 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OB(O)c1ccc(O)cc1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', None, 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', None, 'OB(O)c1ccc(O)cc1', None, None, None, None, None, 'Oc1ccc(Br)cc1']; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', None, 'Oc1ccc(I)cc1', None, 'Oc1cccc(Cl)c1', 'Oc1cccc(Br)c1', 'Oc1ccc(I)cc1', None, 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', None, 'Oc1cccc(Cl)c1', None, None, None, None, None, 'Oc1cccc(Br)c1']; [0.9999957084655762, 0.9999899864196777, 0.9999663233757019, 0, 0.9998530149459839, 0, 0.9994503259658813, 0.9992108345031738, 0.998871386051178, 0, 0.9981225728988647, 0.9971638917922974, 0.9958441853523254, 0.9953740239143372, 0, 0.9905928373336792, 0, 0, 0, 0, 0, 0.7701084613800049]
+CC(C)n1cc(-c2ccc(O)cc2)nn1; ['CC(C)n1ccnn1', 'CC(C)n1ccnn1']; ['OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1']; [0.999720573425293, 0.9956085681915283]
 COc1cc(-c2ccc(O)cc2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2ccc(O)cc2)nn1; [None]; [None]; [0]
+OCc1cccc(-c2ccc(O)cc2)c1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'OCc1cccc(B(O)O)c1', None, None, None, 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OB(O)c1ccc(O)cc1', 'OCc1cccc(Br)c1']; ['OCc1cccc(Br)c1', 'OCc1cccc(I)c1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'OCc1cccc(I)c1', 'OCc1cccc(Br)c1', 'Oc1ccc(I)cc1', None, None, None, 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1', 'OCc1cccc(Cl)c1', 'Oc1ccc(I)cc1']; [0.9999799728393555, 0.9999704360961914, 0.9998771548271179, 0.9997676610946655, 0.9995734691619873, 0.9987446069717407, 0.997344970703125, 0, 0, 0, 0.947487473487854, 0.9332674741744995, 0.9300181865692139, 0.8612841367721558]
+Nc1nc(-c2ccc(O)cc2)cs1; ['NC(N)=S', 'NC(N)=S', 'CC(=O)c1ccc(O)cc1', None, None, None]; ['O=C(CBr)c1ccc(O)cc1', 'O=C(CCl)c1ccc(O)cc1', 'NC(N)=S', None, None, None]; [0.9999947547912598, 0.9999907612800598, 0.9999798536300659, 0, 0, 0]
+Oc1ccc(-c2csc3ncncc23)cc1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12', 'Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'OB(O)c1ccc(O)cc1', 'Oc1ccccc1']; [0.999993085861206, 0.9999106526374817, 0.9998587369918823, 0.7686889171600342]
+Oc1ccc(-c2cc3ccccc3[nH]2)cc1; ['Ic1cc2ccccc2[nH]1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OB(O)c1cc2ccccc2[nH]1', 'OB(O)c1ccc(O)cc1', 'CC(=O)c1ccc(O)cc1', None, None, None, 'Nc1ccccc1']; ['OB(O)c1ccc(O)cc1', 'Clc1cc2ccccc2[nH]1', 'Oc1ccc(Br)cc1', 'c1ccc2[nH]ccc2c1', 'NNc1ccccc1', None, None, None, 'O=C(CBr)c1ccc(O)cc1']; [0.9999569654464722, 0.9975404739379883, 0.9948590993881226, 0.9930810332298279, 0.987822413444519, 0, 0, 0, 0.8755496144294739]
+CSc1nc(-c2ccc(O)cc2)c[nH]1; [None]; [None]; [0]
 Oc1ccc(CCc2c[nH]nn2)cc1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ccc(O)cc1; [None]; [None]; [0]
-O=C(Nc1ccc(O)cc1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Nc1ncncc1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Nc1ncncc1I', None, 'Nc1ncncc1Br', 'Nc1ncncc1Cl']; ['Nc1ncncc1I', 'Nc1ncncc1Br', 'OB(O)c1ccc(O)cc1', None, 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1']; [0.9999957084655762, 0.9999870657920837, 0.9995560050010681, 0, 0.999130129814148, 0.9714733362197876]
+CC(C)c1oncc1-c1ccc(O)cc1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc(O)cc3)cc2s1; [None]; [None]; [0]
+NC(=O)CCCc1ccc(O)cc1; ['O=C(O)CCCc1ccc(O)cc1', 'CC(C)COC(=O)Cl', 'O=C(Cl)C(=O)Cl', 'O=C(O)CCCc1ccc(O)cc1', None]; ['O=C(n1ccnc1)n1ccnc1', 'O=C(O)CCCc1ccc(O)cc1', 'O=C(O)CCCc1ccc(O)cc1', '[NH4+]', None]; [0.9964101910591125, 0.9950199723243713, 0.9897193908691406, 0.9848698377609253, 0]
+N#CCCc1cccc(-c2ccc(O)cc2)c1; [None]; [None]; [0]
+Oc1ccc(Oc2ccccn2)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Clc1ccccn1', None, None, 'Brc1ccccn1', None]; ['Oc1ccccn1', 'Oc1ccc(O)cc1', None, None, 'Oc1ccc(O)cc1', None]; [0.9770601987838745, 0.9209177494049072, 0, 0, 0.7961050271987915, 0]
+CCC(=O)Nc1ccc(-c2ccc(O)cc2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)O', 'CCC(=O)OC(=O)CC', 'CCC(=O)Cl', 'CCOC(=N)CC', 'CCC(=O)N1CCSC1=S', 'CCOC(=O)CC', 'CCC(N)=O', 'CCC(=O)OC']; ['Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'Nc1ccc(-c2ccc(O)cc2)cc1', 'Nc1ccc(-c2ccc(O)cc2)cc1', 'Nc1ccc(-c2ccc(O)cc2)cc1', 'Nc1ccc(-c2ccc(O)cc2)cc1', 'Nc1ccc(-c2ccc(O)cc2)cc1', 'Nc1ccc(-c2ccc(O)cc2)cc1', 'Oc1ccc(-c2ccc(I)cc2)cc1', 'Nc1ccc(-c2ccc(O)cc2)cc1']; [0.9998025298118591, 0.9996647834777832, 0.998273491859436, 0.9957057237625122, 0.9893345236778259, 0.9844307899475098, 0.9556539058685303, 0.9529013633728027, 0.9309182167053223, 0.9055779576301575, 0.8490003347396851]
+Oc1ccc(-c2ccc(F)cc2C(F)(F)F)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(O)cc1)c1c(Cl)cccc1Cl; ['Nc1ccc(O)cc1', None, 'Nc1ccc(O)cc1', 'NC(=O)c1c(Cl)cccc1Cl', 'COC(=O)c1c(Cl)cccc1Cl', 'CCOC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', None, 'O=C(O)c1c(Cl)cccc1Cl', 'Oc1ccc(I)cc1', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1']; [0.9983749389648438, 0, 0.9934186935424805, 0.9436237812042236, 0.8965054750442505, 0.7865508794784546]
+CC(C)(O)CC(=O)NCCc1ccc(O)cc1; ['COC(=O)CC(C)(C)O', 'CCOC(=O)CC(C)(C)O', 'CC(C)(O)CC(=O)[O-]', 'CC(C)(O)CC(=O)O']; ['NCCc1ccc(O)cc1', 'NCCc1ccc(O)cc1', 'NCCc1ccc(O)cc1', 'NCCc1ccc(O)cc1']; [0.9980239272117615, 0.9960771203041077, 0.98850417137146, 0.9870537519454956]
+CS(=O)(=O)C1CCN(c2ccc(O)cc2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['O=C1CCC(=O)CC1', 'Oc1ccc(I)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1']; [0.9984238147735596, 0.979483962059021, 0.942787230014801, 0.9146271347999573, 0.7703914642333984]
+CC(=O)Nc1cccc(-c2ccc(O)cc2)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(O)cc2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; ['Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1']; [0.9993603229522705, 0.9973165988922119, 0.9547662734985352]
+CCCn1cc(-c2ccc(O)cc2)cn1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Cl)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cccn1', 'CCCI', 'CCCBr']; ['CCCn1cc(Br)cn1', 'CCCn1cc(I)cn1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(-c2cn[nH]c2)cc1', 'Oc1ccc(-c2cn[nH]c2)cc1']; [0.9999933242797852, 0.9999822974205017, 0.9999611973762512, 0.9999284744262695, 0.9998136758804321, 0.999549150466919, 0.999461829662323, 0.9994363784790039, 0.988544225692749, 0.9860184192657471, 0.9834400415420532, 0.9612149000167847, 0.9602088928222656]
 CC(C)(COc1ccc(O)cc1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2ccc(O)cc2)cc1Cl; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'C=CCOc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(I)cc1Cl', 'C=CCOc1ccc(Br)cc1', 'COc1ccc([Mg]Br)cc1Cl', 'COc1ccc([Mg]Br)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['COc1ccc(Br)cc1Cl', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl', 'Oc1ccc(Cl)cc1', 'COc1ccc(Cl)cc1Cl', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Nc1ccc(O)cc1', 'COc1ccc(Br)cc1Cl', 'Oc1ccc([B-](F)(F)F)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1Cl', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1']; [0.9999898076057434, 0.999976396560669, 0.9999541640281677, 0.9999428987503052, 0.9999282360076904, 0.9999246001243591, 0.9999068975448608, 0.9994862079620361, 0.9994698762893677, 0.9991979598999023, 0.9990701675415039, 0.9986622929573059, 0.9961508512496948, 0.994764506816864, 0.9945807456970215, 0.9927991628646851, 0.9926316738128662, 0.9922022819519043, 0.9849423170089722, 0.9845287203788757, 0.9842245578765869, 0.9095003604888916, 0.8386386632919312, 0.7657150030136108]
+Oc1ccc(-c2cnn3ccccc23)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Brc1cnn2ccccc12', 'Brc1cnn2ccccc12', 'Brc1cnn2ccccc12', 'Ic1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'OB(O)c1ccc(O)cc1', 'Clc1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12', 'Brc1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; ['Ic1cnn2ccccc12', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'c1ccn2nccc2c1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccccc1', 'Oc1ccccc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1']; [0.9999989867210388, 0.9999980926513672, 0.99992835521698, 0.999780535697937, 0.9997513294219971, 0.9997243881225586, 0.9996063709259033, 0.9990870952606201, 0.9962927103042603, 0.9944608211517334, 0.9928390979766846, 0.9500560760498047, 0.9324967265129089, 0.9231607913970947, 0.9024409055709839]
+COc1cc(CCc2ccc(O)cc2)cc(OC)c1; [None, None]; [None, None]; [0, 0]
 [NH3+]Cc1ccc(-c2ccc(O)cc2)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ccc(O)cc1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+O=c1cc(-c2ccc(O)cc2)cc[nH]1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'O=c1cc(Br)cc[nH]1', 'O=c1cc(I)cc[nH]1', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'O=c1cc(Cl)cc[nH]1']; ['O=c1cc(Br)cc[nH]1', 'O=c1cc(I)cc[nH]1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'O=c1cc(Cl)cc[nH]1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'O=c1cc(Br)cc[nH]1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1']; [0.9998778104782104, 0.999674916267395, 0.998948335647583, 0.9987027049064636, 0.9968912601470947, 0.9954466819763184, 0.9945610761642456, 0.9920424222946167, 0.9793153405189514, 0.9461886882781982]
+C[S@](=O)c1ccc(-c2ccc(O)cc2)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', None, 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['CS(=O)c1ccc(Br)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', None, 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.9995982646942139, 0.9995982646942139, 0.9994779825210571, 0, 0.9884012937545776, 0.9884012937545776]
+CC(C)(N)c1ccc(-c2ccc(O)cc2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1', None, 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', None, 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1']; [0.9996681809425354, 0.9994274377822876, 0, 0.8658891916275024, 0.7750399112701416]
+C[C@@H](Oc1ccc(O)cc1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Oc1ccc(I)cc1']; [0.8463863134384155]
+O=C1CCc2cccc(-c3ccc(O)cc3)c21; [None]; [None]; [0]
+CCN(CC)c1ccc(O)cc1; ['CCNCC', None, None, 'CCI', 'CCNCC', None, None, 'CCBr']; ['O=C1CCC(=O)CC1', None, None, 'CCNc1ccc(O)cc1', 'Oc1ccc(I)cc1', None, None, 'CCNc1ccc(O)cc1']; [0.9897527694702148, 0, 0, 0.9401441812515259, 0.8819899559020996, 0, 0, 0.8302382230758667]
+CCNS(=O)(=O)c1ccccc1-c1ccc(O)cc1; [None]; [None]; [0]
+COc1ccncc1Nc1ccc(O)cc1; ['COc1ccncc1N', 'COc1ccncc1Cl', 'COc1ccncc1B(O)O', 'COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1I']; ['OB(O)c1ccc(O)cc1', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1', 'Nc1ccc(O)cc1']; [0.9976468086242676, 0.9971988201141357, 0.9957295656204224, 0.9944465160369873, 0.988400399684906, 0.9849011301994324, 0.9681063890457153, 0.9625107049942017]
+Oc1ccc(Nc2cnccc2-c2ccccc2)cc1; ['Nc1cnccc1-c1ccccc1', 'Nc1ccc(O)cc1', 'Nc1cnccc1-c1ccccc1', 'Brc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; ['OB(O)c1ccc(O)cc1', 'OB(O)c1cnccc1-c1ccccc1', 'Oc1ccc(I)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1']; [0.9992173910140991, 0.9978922605514526, 0.9964906573295593, 0.9947468042373657, 0.9851269125938416, 0.9476528763771057]
+O=c1[nH]ccc2oc(-c3ccc(O)cc3)cc12; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'O=c1[nH]ccc2oc(Br)cc12', 'O=c1[nH]ccc2occc12', 'O=c1[nH]ccc2occc12']; ['O=c1[nH]ccc2oc(Br)cc12', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1']; [0.999964714050293, 0.998950719833374, 0.9769729375839233, 0.808226466178894]
+CC(C)Oc1cncc(-c2ccc(O)cc2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(Br)c1']; ['Oc1ccc(I)cc1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.9999985694885254, 0.999998152256012, 0.9999980926513672, 0.999868631362915, 0.9985096454620361, 0.9977543354034424, 0.8533411026000977]
+Oc1ccc(Nc2cnc3ccccc3c2)cc1; ['Nc1ccc(O)cc1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Fc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['OB(O)c1cnc2ccccc2c1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(F)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Nc1ccc(O)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(Cl)cc1']; [0.9974961280822754, 0.9971659183502197, 0.9856432676315308, 0.9693731069564819, 0.9613896608352661, 0.9571530818939209, 0.9570634365081787, 0.9443638920783997, 0.9062185287475586, 0.9012172818183899]
 O=c1[nH]cc(Br)c2sc(-c3ccc(O)cc3)cc12; [None]; [None]; [0]
-Oc1ccc(Nc2cnccc2-c2ccccc2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2c[nH]c3cnccc23)cc1; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Brc1c[nH]c2cnccc12', 'Ic1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1']; [0.9999866485595703, 0.9999583959579468, 0.9998471736907959, 0.991101861000061, 0.9876214265823364]
+Oc1ccc(-c2cnc3[nH]ccc3c2)cc1; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Br)cc1']; [0.9999992251396179, 0.9999878406524658, 0.9999199509620667, 0.9998701810836792, 0.9997982978820801, 0.9997605085372925, 0.9995286464691162, 0.9992098808288574, 0.9854084253311157, 0.7767539024353027]
+CC(C)(C)c1ccc(-c2ccc(O)cc2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc(O)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(O)cc2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['Oc1ccc(I)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1']; [0.9988707304000854, 0.9976750612258911, 0.9976750612258911, 0.9971668720245361, 0.9948583841323853, 0.9948583841323853, 0.9788920879364014, 0.9788920879364014, 0.967117428779602, 0.967117428779602]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(O)cc2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1ccc(I)cc1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1', 'CC(C)(C)[Si](C)(C)Oc1ccc(B(O)O)cc1', 'CC(C)(C)[Si](C)(C)Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'Oc1ccc(Cl)cc1']; [0.9998908042907715, 0.9997797012329102, 0.9997797012329102, 0.9991856813430786, 0.9983890056610107, 0.9974963665008545, 0.9974963665008545, 0.9830224514007568, 0.9830224514007568, 0.9827852249145508, 0.9627177715301514]
 CN(c1ccc(O)cc1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC1(c2ccc(O)cc2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Oc1ccc(-c2ccc(N3CCOCC3)cc2)cc1; ['Brc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CC(C)(C)[Si](C)(C)Oc1ccc(Br)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'ClCCOCCCl', 'C1COCCN1', 'BrCCOCCBr', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'C1COCCN1', 'Br[Mg]c1ccc(N2CCOCC2)cc1', 'C1COCCN1', 'C1COCCN1', 'O=C(ON1CCOCC1)c1ccccc1', 'Brc1ccc(N2CCOCC2)cc1', 'C1COCCN1', 'Clc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Oc1ccc(Br)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Oc1ccc(I)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CC(C)(C)[Si](C)(C)Oc1ccc(B(O)O)cc1', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Nc1ccc(-c2ccc(O)cc2)cc1', 'Oc1ccc(-c2ccc(I)cc2)cc1', 'Nc1ccc(-c2ccc(O)cc2)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(-c2ccc(Br)cc2)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(-c2ccc(Cl)cc2)cc1', 'Oc1ccc(-c2ccc(F)cc2)cc1', 'Oc1ccc(-c2ccccc2)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(-c2ccc(O)cc2)cc1', 'Oc1ccccc1']; [0.9999945163726807, 0.9999945163726807, 0.999993622303009, 0.999993622303009, 0.9999785423278809, 0.9999785423278809, 0.9999593496322632, 0.9999593496322632, 0.999744713306427, 0.9995969533920288, 0.9995969533920288, 0.9994229078292847, 0.9994229078292847, 0.9994145035743713, 0.9992803335189819, 0.9992803335189819, 0.9986127614974976, 0.9977086782455444, 0.9973102807998657, 0.9967861175537109, 0.9950606822967529, 0.9950606822967529, 0.9841774106025696, 0.9792765378952026, 0.9702584743499756, 0.9599289894104004, 0.9541178941726685, 0.8746727108955383, 0.8342355489730835, 0.7675671577453613]
+Cc1cc(-c2ccc(O)cc2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1ccc(O)cc1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccc(O)cc1; [None]; [None]; [0]
+C[C@H](Nc1ccc(O)cc1)C(C)(C)O; ['C[C@H](N)C(C)(C)O']; ['Oc1ccc(Br)cc1']; [0.816360592842102]
+CS(=O)(=O)c1ccc(-c2ccc(O)cc2)cc1; [None]; [None]; [0]
+C[C@@H](Nc1ccc(O)cc1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['OB(O)c1ccc(O)cc1', 'Nc1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.9876829385757446, 0.8184527158737183, 0.816360592842102]
+OCc1ccn(-c2ccc(O)cc2)n1; ['OB(O)c1ccc(O)cc1', 'OCc1cc[nH]n1']; ['OCc1cc[nH]n1', 'Oc1ccc(I)cc1']; [0.9975812435150146, 0.9758497476577759]
+OCCc1cn(-c2ccc(O)cc2)cn1; ['OCCc1c[nH]cn1', 'OCCc1cnc[nH]1', 'OCCc1c[nH]cn1']; ['Oc1ccc(I)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1']; [0.9883308410644531, 0.9750230312347412, 0.9522585868835449]
+Oc1ccc(-c2c(F)cccc2Cl)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1Br', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1I', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Cl', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1', 'Fc1cccc(Cl)c1Br']; ['Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'Oc1ccc(I)cc1', 'Oc1ccccc1']; [0.9999988079071045, 0.999992847442627, 0.9999668598175049, 0.9999619126319885, 0.9999145865440369, 0.999876081943512, 0.9997979998588562, 0.9988013505935669, 0.9984316229820251, 0.9982931613922119, 0.9959834814071655, 0.9951882362365723, 0.9929409623146057, 0.9920246601104736, 0.989075243473053, 0.8761966228485107, 0.7615326642990112]
+Oc1ccc(-c2ccc(-n3cncn3)cc2)cc1; ['Oc1ccc(-c2ccc(Br)cc2)cc1']; ['c1nc[nH]n1']; [0.9990696907043457]
+Oc1ccc(-n2ncc3ccccc32)cc1; [None]; [None]; [0]
+Oc1ccc(-n2ncc3c(O)cccc32)cc1; [None]; [None]; [0]
+Oc1ccc(-c2nc3ccc(O)cc3[nH]2)cc1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc(O)cc2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ccc(O)cc2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc(O)cc2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2nncn2C2CC2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc(O)cc2)CC1; [None]; [None]; [0]
+O=C(CCc1ccc(O)cc1)NCc1ccccn1; ['NCc1ccccn1', 'O=C(O)CCc1ccc(O)cc1', 'CCOC(=O)CCc1ccc(O)cc1', 'NCc1ccccn1', 'COC(=O)CCc1ccc(O)cc1']; ['O=C(O)CCc1ccc(O)cc1', '[N-]=[N+]=NCc1ccccn1', 'NCc1ccccn1', 'O=C(CCc1ccc(O)cc1)ON1C(=O)CCC1=O', 'NCc1ccccn1']; [0.9997620582580566, 0.998616099357605, 0.9955435991287231, 0.9954797029495239, 0.9937946796417236]
+Oc1ccc(Cc2nnc3ccc(-c4ccccc4)nn23)cc1; ['NNc1ccc(-c2ccccc2)nn1']; ['O=C(O)Cc1ccc(O)cc1']; [0.9999492764472961]
+CC(C)n1cnnc1-c1ccc(O)cc1; [None]; [None]; [0]
+Nc1nnc(-c2ccc(O)cc2)s1; ['N#Cc1ccc(O)cc1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc(O)cc1']; [0.999994158744812, 0.9999567866325378]
+CCCCc1cc(-c2ccc(O)cc2)nc(N)n1; [None]; [None]; [0]
+CCc1cc(-c2ccc(O)cc2)nc(N)n1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CCc1cc(Cl)nc(N)n1']; ['CCc1cc(Cl)nc(N)n1', 'OB(O)c1ccc(O)cc1']; [0.9999992847442627, 0.9999834299087524]
 [NH3+]CCn1ccc(-c2ccc(O)cc2)n1; [None]; [None]; [0]
-Oc1ccc(Cc2nnc3ccc(-c4ccccc4)nn23)cc1; [None]; [None]; [0]
 O=S(=O)(Cc1ccc(O)cc1)NCc1ccccn1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc(O)cc2)CC1; ['CCN=C=O', 'CCNC(=O)Oc1ccc([N+](=O)[O-])cc1', 'CCNC(=O)Oc1ccccc1', 'CCNC=O', 'CCNC(=O)OCC']; ['Oc1ccc(C2CCNCC2)cc1', 'Oc1ccc(C2CCNCC2)cc1', 'Oc1ccc(C2CCNCC2)cc1', 'Oc1ccc(C2CCNCC2)cc1', 'Oc1ccc(C2CCNCC2)cc1']; [0.9998711347579956, 0.997634768486023, 0.9964724779129028, 0.9954383373260498, 0.9878508448600769]
+CNC(=O)c1ccc(-c2ccc(O)cc2)s1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CNC(=O)c1ccc(Br)s1', 'CN']; ['CNC(=O)c1ccc(Br)s1', 'OB(O)c1ccc(O)cc1', 'O=C(O)c1ccc(-c2ccc(O)cc2)s1']; [0.9999986290931702, 0.999992847442627, 0.9995529055595398]
+CC(C)(O)c1cccc(-c2ccc(O)cc2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1']; [0.9999921321868896, 0.999774694442749, 0.9996896982192993, 0.9860543608665466, 0.8597139120101929]
+Oc1ccc(-c2cn(Cc3ccccc3)nn2)cc1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ccc(O)cc1; [None]; [None]; [0]
+Nc1cncc(-c2ccc(O)cc2)n1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', None]; ['Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', None]; [0.9999818801879883, 0.9999608993530273, 0.9998518228530884, 0.9990832805633545, 0]
+CC1(C)Oc2ccc(-c3ccc(O)cc3)nc2NC1=O; ['CC1(C)Oc2ccc(Br)nc2NC1=O']; ['OB(O)c1ccc(O)cc1']; [0.9824125170707703]
+Oc1ccc(-c2cccc3nnsc23)cc1; ['Brc1cccc2nnsc12', 'Brc1cccc2nnsc12']; ['OB(O)c1ccc(O)cc1', 'Oc1ccccc1']; [0.9997384548187256, 0.9484442472457886]
 [NH3+]Cc1ccc(Oc2ccc(O)cc2)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3ccc(O)cc3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(O)cc3)c2)cc1; [None]; [None]; [0]
-Oc1ccc(-c2cccc3nnsc23)cc1; [None]; [None]; [0]
-COc1ccc(Oc2ccc(O)cc2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc(O)cc2)n1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ccc(O)cc2)c1)C1CCNCC1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(O)cc3)c2)cc1; ['CNC(=O)c1ccc(N)cc1', None]; ['O=C(O)c1cccc(-c2ccc(O)cc2)c1', None]; [0.9998095631599426, 0]
+Oc1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2cccc3ccsc23)cc1; [None]; [None]; [0]
+Nc1nc(-c2ccc(O)cc2)nc2ccccc12; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Nc1nc(Cl)nc2ccccc12']; ['Nc1nc(Cl)nc2ccccc12', 'OB(O)c1ccc(O)cc1']; [0.9993480443954468, 0.9964353442192078]
+CC(=O)Nc1ncc(-c2ccc(O)cc2)[nH]1; [None]; [None]; [0]
+Oc1ccc(-c2c[nH]c3cccnc23)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'Ic1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Clc1c[nH]c2cccnc12']; ['Ic1c[nH]c2cccnc12', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'OB(O)c1ccc(O)cc1', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'OB(O)c1ccc(O)cc1', 'Clc1c[nH]c2cccnc12', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1']; [0.9999731183052063, 0.9999679327011108, 0.9999334812164307, 0.9998965263366699, 0.9989464282989502, 0.9986273050308228, 0.9963862299919128, 0.9911009073257446, 0.9880002737045288]
+Oc1ccc(-c2ncc3ccccc3n2)cc1; ['Brc1ncc2ccccc2n1', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Brc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1', 'Nc1ccccc1CO', 'Oc1ccc(I)cc1']; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Clc1ncc2ccccc2n1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'O=Cc1ccc(O)cc1', 'c1ccc2ncncc2c1']; [0.9999895095825195, 0.9999551773071289, 0.9994454383850098, 0.9989272356033325, 0.9881044030189514, 0.9206953048706055]
+Oc1ccc(-c2ncc3cc[nH]c3n2)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'Clc1ncc2cc[nH]c2n1']; ['Clc1ncc2cc[nH]c2n1', 'OB(O)c1ccc(O)cc1']; [0.9999802112579346, 0.9991297721862793]
+COc1ccc(C#N)cc1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'CC(C)(C)[Si](C)(C)Oc1ccc(Br)cc1', 'CC(C)(C)[Si](C)(C)Oc1ccc(B(O)O)cc1', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'C=CCOc1ccc(B(O)O)cc1', 'C=CCOc1ccc(Br)cc1', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br']; ['COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1']; [0.9999889135360718, 0.9999686479568481, 0.9999463558197021, 0.9998285174369812, 0.9997333288192749, 0.9995107650756836, 0.9995094537734985, 0.999098002910614, 0.9982476830482483, 0.9980466365814209, 0.9978398084640503, 0.9976764917373657, 0.9968513250350952, 0.9960265159606934, 0.9956921935081482, 0.9955805540084839, 0.9921071529388428, 0.9901218414306641, 0.9843683242797852, 0.982367992401123, 0.9786142110824585, 0.9785041809082031, 0.930169939994812, 0.9215387105941772, 0.8375765085220337]
+COc1ncccc1-c1ccc(O)cc1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1I', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'COc1ncccc1Cl', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'COc1ccccn1', 'COc1ncccc1Cl']; ['COc1ncccc1Br', 'COc1ncccc1I', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1']; [0.9999960660934448, 0.9999839067459106, 0.9998633861541748, 0.9997073411941528, 0.999207079410553, 0.999165415763855, 0.9983745813369751, 0.9973549842834473, 0.997136116027832, 0.9954192638397217, 0.992387056350708, 0.9836823344230652, 0.9753657579421997, 0.8394128084182739, 0.80301833152771]
+COc1ccc(Oc2ccc(O)cc2)c(F)c1F; ['COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(B(O)O)c(F)c1F', 'COc1cccc(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['Oc1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(O)cc1', 'Oc1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(O)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1']; [0.9968564510345459, 0.9963840246200562, 0.9932215213775635, 0.9385097622871399, 0.9085246324539185, 0.8941481709480286, 0.8871479630470276, 0.8637411594390869]
+OCCn1cnc(-c2ccc(O)cc2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc(O)cc2)c1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['CN(C)S(=O)(=O)c1cccc(Br)c1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccccc1']; [0.9999877214431763, 0.9999150037765503, 0.9998772144317627, 0.9997773766517639, 0.9995166063308716, 0.9994961023330688, 0.9969221353530884, 0.9954041242599487, 0.9713718891143799]
+COc1ccc(OC)c(-c2ccc(O)cc2)c1; ['CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(O)cc2)OC1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'C=CCOc1ccc(B(O)O)cc1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'C=CCOc1ccc(Br)cc1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(Br)c1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'COc1ccc(OC)c(Br)c1', 'Oc1ccc(I)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'COc1ccc(OC)c(B(O)O)c1', 'Oc1ccc(Br)cc1', 'Oc1ccc([B-](F)(F)F)cc1', 'Nc1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(I)cc1', 'Oc1ccc(I)cc1', 'Oc1ccccc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Br)cc1', 'OB(O)c1ccc(O)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccc(I)cc1']; [0.9999934434890747, 0.9999904632568359, 0.9999319314956665, 0.9998239278793335, 0.9997895956039429, 0.9996286630630493, 0.9992461800575256, 0.9989776611328125, 0.9974936246871948, 0.997489333152771, 0.9972898960113525, 0.9970519542694092, 0.996796727180481, 0.9949463605880737, 0.9930868744850159, 0.9903088808059692, 0.984951376914978, 0.9770052433013916, 0.9764006733894348, 0.9522519111633301, 0.9511896371841431, 0.9456276893615723, 0.9361611008644104, 0.8984928131103516, 0.879335880279541, 0.8704489469528198, 0.8584526181221008, 0.8366113901138306, 0.8258307576179504]
+CNC(=O)c1ccccc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CNC(=O)c1ccccc1B(O)O', 'Brc1ccc2n[nH]cc2c1', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1']; ['CNC(=O)c1ccccc1Br', 'Ic1ccc2n[nH]cc2c1', 'CNC(=O)c1ccccc1B(O)O', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1']; [0.9999979734420776, 0.9987709522247314, 0.9855291247367859, 0.9057021141052246, 0.8631193041801453]
+O=C(Nc1cccc(-c2ccc(O)cc2)c1)C1CCNCC1; ['Nc1cccc(-c2ccc(O)cc2)c1', 'COC(=O)C1CCNCC1']; ['O=C(O)C1CCNCC1', 'Nc1cccc(-c2ccc(O)cc2)c1']; [0.9999399185180664, 0.9994379281997681]
+CCOc1ccccc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'Brc1ccc2n[nH]cc2c1', 'CCOc1ccccc1B(O)O', 'Brc1ccc2n[nH]cc2c1']; ['CCOc1ccccc1Br', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'Ic1ccc2n[nH]cc2c1', 'CCOc1ccccc1Cl', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'CCOc1ccccc1B(O)O', 'Clc1ccc2n[nH]cc2c1', 'CCOc1ccccc1Br']; [0.9999932646751404, 0.9999849796295166, 0.9999779462814331, 0.9999374151229858, 0.9999009966850281, 0.9997130632400513, 0.9962993860244751, 0.9899322986602783, 0.9155498743057251]
+Oc1ccc(N2CC=C(c3c[nH]c4ccccc34)CC2)cc1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Oc1ccc(I)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(Br)cc1']; [0.9977750182151794, 0.9900369644165039, 0.986461877822876]
+C[C@@]1(O)CC[C@H](c2ccc(O)cc2)CC1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc(O)cc2)cnn1; [None]; [None]; [0]
+Oc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3n[nH]cc3c2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc2n[nH]cc2c1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Brc1ccc2n[nH]cc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Clc1ccc2n[nH]cc2c1']; [0.9999986886978149, 0.9998716115951538, 0.9988080859184265, 0.9860063791275024, 0.9217545390129089]
+COC(C)(C)CCc1ccc2n[nH]cc2c1; [None]; [None]; [0]
+CCn1cc(-c2ccc3n[nH]cc3c2)cn1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CCn1cc(B(O)O)cn1', 'Brc1ccc2n[nH]cc2c1', 'CCn1cc(B(O)O)cn1']; ['CCn1cc(I)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccc2n[nH]cc2c1', 'CCn1cc(Br)cn1', 'Ic1ccc2n[nH]cc2c1', 'CCn1cc(B(O)O)cn1', 'Clc1ccc2n[nH]cc2c1']; [0.9999990463256836, 0.999998927116394, 0.9999978542327881, 0.999997615814209, 0.998954176902771, 0.9953521490097046, 0.9873573780059814]
+CP(C)(=O)c1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['FC(F)(F)Oc1ccccc1Br', 'Ic1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1I', 'Clc1ccc2n[nH]cc2c1', 'FC(F)(F)Oc1ccccc1Cl', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br']; [0.9999891519546509, 0.9999629259109497, 0.9999568462371826, 0.9999175667762756, 0.9998780488967896, 0.9993959665298462, 0.9987672567367554, 0.989567220211029, 0.9723700284957886, 0.9670364856719971]
+c1ccc2c(-c3ccc4n[nH]cc4c3)ccnc2c1; ['Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Ic1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'OB(O)c1ccnc2ccccc12']; [0.9999982714653015, 0.9999910593032837, 0.999942421913147, 0.999823808670044, 0.9997904300689697, 0.9685366153717041]
+FC(F)(F)c1cccc(-c2ccc3n[nH]cc3c2)c1; ['Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(Br)c1', 'Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Cl)c1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.9999924302101135, 0.9999904036521912, 0.9999762773513794, 0.999968409538269, 0.9999644756317139, 0.9999470710754395, 0.999427080154419, 0.9993760585784912, 0.9991636276245117, 0.997084379196167, 0.9939693212509155, 0.9209796190261841]
+NC(=O)c1ccccc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'Ic1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1Cl', 'Clc1ccc2n[nH]cc2c1', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; [0.9999968409538269, 0.9999943971633911, 0.9999862313270569, 0.9999502897262573, 0.9998993873596191, 0.99981689453125, 0.9997967481613159, 0.9991550445556641, 0.9980663061141968, 0.9741544723510742, 0.9551416635513306, 0.8423552513122559]
+c1ccc(Cn2cc(-c3ccc4n[nH]cc4c3)cn2)cc1; ['Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'Ic1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999994039535522, 0.9999984502792358, 0.9999974966049194, 0.9999960660934448, 0.9997141361236572, 0.9991848468780518, 0.9945437908172607]
+Fc1cc(F)cc(Cc2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc4n[nH]cc4c3)cc2c1=O; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1']; ['Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9999949932098389, 0.8229226469993591]
+CC(C)C(=O)COc1ccc2n[nH]cc2c1; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Oc1ccc2n[nH]cc2c1', 'Oc1ccc2n[nH]cc2c1']; [0.9004079103469849, 0.8924225568771362]
+CC(C)(C)c1nc(-c2ccc3n[nH]cc3c2)cs1; ['Brc1ccc2n[nH]cc2c1']; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1']; [0.9999997615814209]
+COc1cnc(-c2ccc3n[nH]cc3c2)nc1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'COc1cncnc1', 'Brc1ccc2n[nH]cc2c1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'Ic1ccc2n[nH]cc2c1', 'COc1cncnc1']; [0.9999871253967285, 0.9999867081642151, 0.9186849594116211, 0.8642450571060181]
+Cc1nc2ccccn2c1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1']; ['Cc1nc2ccccn2c1Br', 'Cc1cn2ccccc2n1']; [0.9999986886978149, 0.9999895095825195]
+Clc1ccc(Cl)c(-c2ccc3n[nH]cc3c2)c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc(Cl)cc1', 'Clc1ccc2n[nH]cc2c1']; ['Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc2n[nH]cc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Br)c1', 'Ic1ccc2n[nH]cc2c1', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999980926513672, 0.9999953508377075, 0.9999536275863647, 0.9999361038208008, 0.9996752738952637, 0.9995717406272888, 0.9975420236587524, 0.9763858318328857, 0.9699047803878784, 0.8942055702209473, 0.8307859897613525]
+OCCn1cc(-c2ccc3n[nH]cc3c2)cn1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; ['OCCn1cc(I)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'OCCn1cc(Br)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1']; [0.999998927116394, 0.9999988079071045, 0.9999985098838806, 0.9999945163726807, 0.9999886751174927, 0.9996170997619629, 0.9977858662605286, 0.9972392320632935, 0.9721158146858215]
+c1ccn2c(-c3ccc4n[nH]cc4c3)cnc2c1; ['Brc1cnc2ccccn12', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'c1ccn2ccnc2c1']; [0.9999997615814209, 0.9983706474304199]
+O=C(Nc1cccc(-c2ccc3n[nH]cc3c2)c1)c1ccccc1; [None]; [None]; [0]
+c1cnn2c(-c3ccc4n[nH]cc4c3)cnc2c1; ['Brc1cnc2cccnn12']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; [1.0]
+Cc1nc(C)c(-c2ccc3n[nH]cc3c2)s1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Cc1csc(C)n1']; ['Cc1nc(C)c(Br)s1', 'Ic1ccc2n[nH]cc2c1']; [0.9999944567680359, 0.914959192276001]
+CNc1nc(C)c(-c2ccc3n[nH]cc3c2)s1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1']; ['CNc1nc(C)c(Br)s1', 'CNc1nc(C)cs1']; [0.9999532699584961, 0.9406347274780273]
+c1ccc(-c2ncc(-c3ccc4n[nH]cc4c3)[nH]2)cc1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Cc1csc(N)n1']; ['Cc1nc(N)sc1Br', 'Ic1ccc2n[nH]cc2c1']; [0.9999993443489075, 0.9717558026313782]
 O=c1c2c(F)cccc2cnn1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Clc1cccc(Cl)c1Br', 'Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1cccc(Cl)c1Br', 'Clc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Cl', 'Ic1ccc2n[nH]cc2c1', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'Fc1c(Cl)cccc1Cl', 'Fc1ccc2n[nH]cc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1']; [0.9999967217445374, 0.9999933838844299, 0.9999333620071411, 0.9997469186782837, 0.9984431862831116, 0.9973223209381104, 0.9868105053901672, 0.9270651340484619, 0.8839582204818726, 0.8208679556846619, 0.76988685131073, 0.7670173645019531]
+c1cncc(CNc2ccc3n[nH]cc3c2)c1; ['Ic1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; [0.9989742040634155, 0.992993950843811, 0.9924957752227783, 0.9586019515991211]
+Cc1ccc(Cl)c(-c2ccc3n[nH]cc3c2)c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Ic1ccc2n[nH]cc2c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1']; [0.9999978542327881, 0.9999827146530151, 0.9997786283493042, 0.9997761845588684, 0.9997295141220093, 0.9980247020721436, 0.9949012994766235, 0.931060791015625, 0.8617457151412964]
+Cc1ccc(-c2ccc3n[nH]cc3c2)c(Br)c1; [None]; [None]; [0]
+Brc1cccc(-c2ccc3n[nH]cc3c2)c1; ['Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Clc1cccc(Br)c1', 'Clc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Brc1cccc(Br)c1']; [0.9999824166297913, 0.9999691843986511, 0.9999691247940063, 0.9999383687973022, 0.999868631362915, 0.9998306035995483, 0.998072624206543, 0.9863662123680115, 0.9525429606437683, 0.8689679503440857]
+c1cc(Cn2cncn2)cc(-c2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
+c1cnn2ncc(-c3ccc4n[nH]cc4c3)c2c1; ['Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; [0.9999884963035583]
+c1ccc2c(c1)ncn2-c1ccc2n[nH]cc2c1; ['Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9193971157073975, 0.9109970331192017]
+O=C(Nc1ccc2n[nH]cc2c1)c1cccs1; ['Clc1ccc2n[nH]cc2c1']; ['NC(=O)c1cccs1']; [0.9780352115631104]
+c1cncc(Nc2ccc3n[nH]cc3c2)c1; ['Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; ['Nc1cccnc1', 'Nc1cccnc1', 'Nc1cccnc1', 'Nc1cccnc1']; [0.998517632484436, 0.9973941445350647, 0.9926479458808899, 0.9849938154220581]
+O=C([O-])Cc1cccc(-c2ccc3n[nH]cc3c2)c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; ['O=C([O-])Cc1ccccc1']; [0.7531381249427795]
+Nc1nccc(-c2ccc3n[nH]cc3c2)n1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1']; [1.0, 0.9999997615814209, 0.9999997615814209, 0.99992436170578, 0.997637152671814]
+c1ccc2cc(-c3ccc4n[nH]cc4c3)ccc2c1; ['Brc1ccc2n[nH]cc2c1', 'Brc1ccc2ccccc2c1', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)COB(c2ccc3ccccc3c2)OC1', 'Ic1ccc2n[nH]cc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.9999902844429016, 0.9999902844429016, 0.9999861717224121, 0.999966025352478, 0.999966025352478, 0.99701988697052, 0.9933655261993408, 0.9854880571365356]
+c1nc(CCNc2ccc3n[nH]cc3c2)c[nH]1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'NCCc1c[nH]cn1', 'Fc1ccc2n[nH]cc2c1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'Oc1ccc2n[nH]cc2c1', 'NCCc1c[nH]cn1']; [0.9999760389328003, 0.9996660947799683, 0.99259352684021, 0.9916737079620361, 0.9897985458374023, 0.9831831455230713]
 Cc1c(-c2ccc3n[nH]cc3c2)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(-c3ccc4n[nH]cc4c3)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc3n[nH]cc3c2)o1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Br', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Brc1ccc2n[nH]cc2c1']; ['FC(F)(F)c1n[nH]cc1I', 'FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I', 'FC(F)(F)c1n[nH]cc1Cl', 'Ic1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Clc1ccc2n[nH]cc2c1', 'FC(F)(F)c1n[nH]cc1Br']; [0.9999814629554749, 0.9999765753746033, 0.9999009370803833, 0.9998874664306641, 0.9998756647109985, 0.9997928142547607, 0.999760627746582, 0.9931699633598328, 0.9699962139129639]
+NC(=O)c1c(F)cccc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1']; ['NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl', 'NC(=O)c1c(F)cccc1Br']; [1.0, 0.9999960660934448, 0.9974785447120667]
+c1ccc2c(-c3ccc4n[nH]cc4c3)cncc2c1; ['Brc1cncc2ccccc12', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Clc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; [0.9999992251396179, 0.9999951124191284, 0.9999940991401672, 0.9997170567512512, 0.9938406944274902, 0.9925363063812256, 0.9584511518478394]
+c1ccc(CCNc2ccc3n[nH]cc3c2)cc1; ['Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'NCCc1ccccc1', 'Clc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'Oc1ccc2n[nH]cc2c1', 'NCCc1ccccc1', 'NCCc1ccccc1']; [0.989909827709198, 0.9545862674713135, 0.9391924738883972, 0.8637393712997437, 0.8274593353271484]
+Clc1ccc(CNc2ccc3n[nH]cc3c2)cc1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9996412992477417, 0.9984524846076965, 0.9891846179962158, 0.9633446931838989, 0.9297163486480713]
+Cn1cc(-c2ccc(-c3ccc4n[nH]cc4c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc4n[nH]cc4c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ccc4n[nH]cc4c3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4n[nH]cc4c3)ccc21; ['Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Clc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Ic1ccc2n[nH]cc2c1', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Ic1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.999999463558197, 0.999999463558197, 0.9999990463256836, 0.9999990463256836, 0.9999934434890747, 0.9999934434890747, 0.9999206066131592, 0.9997695684432983, 0.9997695684432983, 0.9995054006576538, 0.9980178475379944, 0.9887397289276123]
+c1cc(-c2ccc3n[nH]cc3c2)ccc1-c1cn[nH]c1; ['Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Brc1ccc(-c2cn[nH]c2)cc1', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Clc1ccc2n[nH]cc2c1', 'Clc1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Brc1ccc2n[nH]cc2c1']; [0.9999980926513672, 0.9999969005584717, 0.99998939037323, 0.9999867677688599, 0.9999644756317139, 0.9990049004554749, 0.9939119815826416, 0.9818521738052368, 0.9382301568984985]
+Oc1cccc(-c2ccc3n[nH]cc3c2)c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9999743700027466, 0.99996018409729, 0.9998425245285034, 0.9997162222862244, 0.9992389678955078, 0.998069703578949, 0.9964721202850342, 0.9936630725860596, 0.9905047416687012, 0.961016058921814, 0.9547200202941895, 0.8408322334289551]
+CCCn1cnc(-c2ccc3n[nH]cc3c2)n1; [None]; [None]; [0]
+Fc1ccccc1CNc1ccc2n[nH]cc2c1; ['Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; [0.995894193649292, 0.9606577157974243, 0.9581562280654907, 0.896888256072998]
+c1cc(Nc2ccc3n[nH]cc3c2)ccn1; ['Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1']; [0.9988818168640137, 0.9970742464065552, 0.9926436543464661, 0.9827536344528198]
+OCc1cccc(-c2ccc3n[nH]cc3c2)c1; ['Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(Br)c1', 'Ic1ccc2n[nH]cc2c1', 'OCc1cccc(I)c1', 'Clc1ccc2n[nH]cc2c1', 'OCc1cccc(Cl)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1']; [0.999991774559021, 0.999991238117218, 0.9999836683273315, 0.9999821186065674, 0.9998717308044434, 0.9998236894607544, 0.9990495443344116, 0.996344804763794, 0.992273211479187, 0.9604718089103699, 0.8600057363510132, 0.8586486577987671]
+CC(C)n1cc(-c2ccc3n[nH]cc3c2)nn1; ['Brc1ccc2n[nH]cc2c1']; ['CC(C)n1ccnn1']; [0.999071478843689]
 COc1cc(-c2ccc3n[nH]cc3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2ccc3n[nH]cc3c2)nn1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ccc4n[nH]cc4c3)cc2c1; ['Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC(=O)c1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'Clc1cc2ccccc2[nH]1', 'NNc1ccccc1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9999830722808838, 0.9998957514762878, 0.9851605892181396, 0.9290435314178467, 0.9112875461578369]
+Nc1nc(-c2ccc3n[nH]cc3c2)cs1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC(=O)c1ccc2n[nH]cc2c1']; ['Nc1nc(Br)cs1', 'NC(N)=S']; [0.9999997019767761, 0.9997164607048035]
+c1ncc2c(-c3ccc4n[nH]cc4c3)csc2n1; ['Brc1csc2ncncc12']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; [0.9999994039535522]
+N#CCCc1cccc(-c2ccc3n[nH]cc3c2)c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; [0.9999467730522156, 0.9970434308052063, 0.9965811371803284, 0.9939078092575073, 0.9602304697036743, 0.8498198986053467]
 c1cc2n[nH]cc2cc1CCc1c[nH]nn1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
+CSc1nc(-c2ccc3n[nH]cc3c2)c[nH]1; [None]; [None]; [0]
+Nc1ncncc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['Nc1ncncc1Br', 'Nc1ncncc1I', 'Nc1ncncc1Cl', 'Nc1ncncc1Br', 'Nc1ncncc1I', 'Nc1ncncc1Br']; [0.9999997019767761, 0.9999995231628418, 0.9999696016311646, 0.9999310970306396, 0.9987152814865112, 0.9941010475158691]
+CCC(=O)Nc1ccc(-c2ccc3n[nH]cc3c2)cc1; ['Brc1ccc2n[nH]cc2c1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; [0.9999933242797852, 0.9999886751174927, 0.9999126195907593]
+c1ccc(Oc2ccc3n[nH]cc3c2)nc1; ['Clc1ccccn1', 'Brc1ccccn1', 'Fc1ccccn1', 'Ic1ccccn1', 'Brc1ccc2n[nH]cc2c1']; ['Oc1ccc2n[nH]cc2c1', 'Oc1ccc2n[nH]cc2c1', 'Oc1ccc2n[nH]cc2c1', 'Oc1ccc2n[nH]cc2c1', 'Oc1ccccn1']; [0.9988961219787598, 0.997186541557312, 0.9962482452392578, 0.9794645309448242, 0.8126780986785889]
+Fc1ccc(-c2ccc3n[nH]cc3c2)c(C(F)(F)F)c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Fc1cccc(C(F)(F)F)c1']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Ic1ccc2n[nH]cc2c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Ic1ccc2n[nH]cc2c1']; [0.9999994039535522, 0.9999879598617554, 0.9999853372573853, 0.9999852776527405, 0.9995126724243164, 0.9989960193634033, 0.9958881735801697, 0.9949021339416504, 0.9681214094161987, 0.7616608142852783]
+O=C(Nc1ccc2n[nH]cc2c1)c1c(Cl)cccc1Cl; ['Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['NC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl']; [0.9973422288894653, 0.9772124290466309]
+CS(=O)(=O)C1CCN(c2ccc3n[nH]cc3c2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Ic1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; [0.9541293382644653, 0.909446120262146]
+CC(=O)Nc1cccc(-c2ccc3n[nH]cc3c2)c1; ['CC(=O)Nc1cccc(Br)c1', 'Brc1ccc2n[nH]cc2c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1ccccc1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'c1ccc2n[nH]cc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; [0.9999982118606567, 0.9999957084655762, 0.9999575614929199, 0.9999439120292664, 0.9998717904090881, 0.9891465902328491, 0.9888610243797302, 0.9788862466812134, 0.9675216674804688, 0.9627770185470581, 0.930323600769043]
+CC(C)(COc1ccc2n[nH]cc2c1)S(C)(=O)=O; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc4n[nH]cc4c3)cc2s1; [None]; [None]; [0]
+NC(=O)CCCc1ccc2n[nH]cc2c1; [None]; [None]; [0]
+Cn1cc(-c2ccc3n[nH]cc3c2)c2ccccc21; ['Brc1ccc2n[nH]cc2c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1']; [0.9999927878379822, 0.9999681115150452, 0.982512891292572]
+COc1ccc(-c2ccc3n[nH]cc3c2)cc1Cl; ['Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'COc1ccc(Br)cc1Cl', 'Brc1ccc2n[nH]cc2c1', 'COc1ccc(B(O)O)cc1Cl', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'COc1ccccc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(Br)cc1Cl', 'Ic1ccc2n[nH]cc2c1', 'COc1ccc(I)cc1Cl', 'Clc1ccc2n[nH]cc2c1', 'COc1ccc(Cl)cc1Cl', 'Ic1ccc2n[nH]cc2c1', 'COc1ccc(I)cc1Cl', 'Ic1ccc2n[nH]cc2c1', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccccc1Cl', 'COc1ccc(Br)cc1Cl', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; [0.9999948740005493, 0.9999929666519165, 0.9999696016311646, 0.9999605417251587, 0.9999315738677979, 0.9997228384017944, 0.999397873878479, 0.9988213777542114, 0.9906701445579529, 0.9845749139785767, 0.9822676181793213, 0.9695532321929932, 0.9047684073448181, 0.8879518508911133]
 CC(C)(O)CC(=O)NCCc1ccc2n[nH]cc2c1; [None]; [None]; [0]
-O=C(Nc1ccc2n[nH]cc2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CCCn1cc(-c2ccc3n[nH]cc3c2)cn1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'Brc1ccc2n[nH]cc2c1', 'CCCn1cc(B(O)O)cn1']; ['CCCn1cc(I)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccc2n[nH]cc2c1', 'CCCn1cc(Br)cn1', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'CCCn1cc(B(O)O)cn1', 'Clc1ccc2n[nH]cc2c1']; [0.9999998807907104, 0.9999998211860657, 0.9999995231628418, 0.9999994039535522, 0.9999983310699463, 0.9996163845062256, 0.9985800385475159, 0.9976695775985718]
+c1ccn2ncc(-c3ccc4n[nH]cc4c3)c2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1cnn2ccccc12', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['Ic1cnn2ccccc12', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; [1.0, 0.9999998807907104, 0.9999961256980896, 0.999987006187439, 0.9971791505813599, 0.9890324473381042]
+COc1cc(CCc2ccc3n[nH]cc3c2)cc(OC)c1; ['COc1cc(CBr)cc(OC)c1']; ['Cc1ccc2n[nH]cc2c1']; [0.8643347024917603]
+O=C1CCc2cccc(-c3ccc4n[nH]cc4c3)c21; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21']; [0.9999995231628418, 0.9999730587005615, 0.9997416734695435, 0.9414435625076294]
+C[S@](=O)c1ccc(-c2ccc3n[nH]cc3c2)cc1; ['Brc1ccc2n[nH]cc2c1', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CS(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2n[nH]cc2c1', 'CS(=O)c1ccc(B(O)O)cc1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2n[nH]cc2c1', 'CS(=O)c1ccc(Br)cc1', 'Ic1ccc2n[nH]cc2c1', 'CS(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2n[nH]cc2c1']; [0.9999736547470093, 0.9999537467956543, 0.9998310804367065, 0.9951286315917969, 0.9829748868942261, 0.9692044258117676]
 [NH3+]Cc1ccc(-c2ccc3n[nH]cc3c2)cc1C(F)(F)F; [None]; [None]; [0]
-CC(C)(COc1ccc2n[nH]cc2c1)S(C)(=O)=O; [None]; [None]; [0]
-C[C@@H](Oc1ccc2n[nH]cc2c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; ['CCNS(=O)(=O)c1ccccc1Br']; [0.9999990463256836]
+CCN(CC)c1ccc2n[nH]cc2c1; ['CCNCC', 'Brc1ccc2n[nH]cc2c1', 'CCNCC']; ['Ic1ccc2n[nH]cc2c1', 'CCNCC', 'Clc1ccc2n[nH]cc2c1']; [0.93965744972229, 0.7923377752304077, 0.7872704267501831]
+O=c1cc(-c2ccc3n[nH]cc3c2)cc[nH]1; [None]; [None]; [0]
+C[C@@H](Oc1ccc2n[nH]cc2c1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Oc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; [0.994686484336853, 0.9585716724395752]
+COc1ccncc1Nc1ccc2n[nH]cc2c1; ['Brc1ccc2n[nH]cc2c1', 'COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1N']; ['COc1ccncc1N', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; [0.9995249509811401, 0.9995114207267761, 0.9993261694908142, 0.9992032051086426]
+CC(C)(N)c1ccc(-c2ccc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+c1ccc(-c2ccncc2Nc2ccc3n[nH]cc3c2)cc1; ['Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; ['Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.9996042251586914, 0.9995172023773193, 0.9974737167358398, 0.9945520162582397]
+O=c1[nH]ccc2oc(-c3ccc4n[nH]cc4c3)cc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccc3n[nH]cc3c2)c1; ['CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2n[nH]cc2c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'Brc1ccc2n[nH]cc2c1', 'CC(C)Oc1cncc(B(O)O)c1', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'CC(C)Oc1cncc(B(O)O)c1', 'Clc1ccc2n[nH]cc2c1', 'CC(C)Oc1cncc(Br)c1']; [0.9999998807907104, 0.9999997615814209, 0.9999995827674866, 0.999997615814209, 0.9997743368148804, 0.9988054037094116, 0.9975135922431946, 0.9954436421394348]
+c1cc2cc(-c3ccc4n[nH]cc4c3)cnc2[nH]1; ['Brc1cnc2[nH]ccc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 0.9999997615814209, 0.9976207613945007, 0.9963480234146118]
 O=c1[nH]cc(Br)c2sc(-c3ccc4n[nH]cc4c3)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2ccc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'COc1cccc(F)c1B(O)O']; ['COc1cccc(F)c1Br', 'Ic1ccc2n[nH]cc2c1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Cl', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'Clc1ccc2n[nH]cc2c1']; [0.9999992251396179, 0.9999964237213135, 0.9999953508377075, 0.9999938011169434, 0.9999926090240479, 0.9999653100967407, 0.9999338388442993, 0.9997178316116333, 0.9985437989234924, 0.995769202709198, 0.9890693426132202, 0.9820841550827026]
+CC(C)(C)c1ccc(-c2ccc3n[nH]cc3c2)cc1; ['Brc1ccc2n[nH]cc2c1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'Brc1ccc2n[nH]cc2c1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Brc1ccc2n[nH]cc2c1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Brc1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Clc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'CC(C)(C)c1ccc(I)cc1', 'Ic1ccc2n[nH]cc2c1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Clc1ccc2n[nH]cc2c1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccccc1']; [0.9999995231628418, 0.9999984502792358, 0.9999974966049194, 0.9999938607215881, 0.9999916553497314, 0.9999797344207764, 0.9995089769363403, 0.9994533061981201, 0.9993377923965454, 0.9987611770629883, 0.9954696893692017, 0.9841855764389038, 0.7758972644805908]
+c1ccc2ncc(Nc3ccc4n[nH]cc4c3)cc2c1; ['Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; [0.9998012781143188, 0.9989773035049438, 0.9968538284301758, 0.9937417507171631]
+CNC(=O)c1c(F)cccc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CNC(=O)c1ccccc1F']; ['CNC(=O)c1ccccc1F', 'Ic1ccc2n[nH]cc2c1']; [0.999886155128479, 0.9244918823242188]
+c1cc2c(-c3ccc4n[nH]cc4c3)c[nH]c2cn1; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1c[nH]c2cnccc12']; [0.9999832510948181, 0.999974250793457]
+CNS(=O)(=O)c1ccc(-c2ccc3n[nH]cc3c2)cc1; ['Brc1ccc2n[nH]cc2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2n[nH]cc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2n[nH]cc2c1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Clc1ccc2n[nH]cc2c1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'Ic1ccc2n[nH]cc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2n[nH]cc2c1']; [0.9999692440032959, 0.9999600648880005, 0.9998888373374939, 0.9997804164886475, 0.99965500831604, 0.9962125420570374, 0.9922221302986145, 0.9800928235054016]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3n[nH]cc3c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2n[nH]cc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2n[nH]cc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2n[nH]cc2c1']; ['Ic1ccc2n[nH]cc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [0.9999977350234985, 0.9999961853027344, 0.9999703764915466, 0.9999531507492065, 0.9998385906219482, 0.9984500408172607, 0.9976440072059631, 0.9948475360870361, 0.8617216348648071]
+CC1(c2ccc3n[nH]cc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@H](Nc1ccc2n[nH]cc2c1)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'Brc1ccc2n[nH]cc2c1', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Ic1ccc2n[nH]cc2c1', 'C[C@H](N)C(C)(C)O', 'Oc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; [0.9866859912872314, 0.961766242980957, 0.9240989685058594, 0.8978991508483887, 0.7670964002609253]
+c1cc(N2CCOCC2)ccc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
 CN(c1ccc2n[nH]cc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Cc1cc(-c2ccc3n[nH]cc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3n[nH]cc3c2)cc1; [None]; [None]; [0]
 C[C@H](Nc1ccc2n[nH]cc2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2ccc3n[nH]cc3c2)n1; [None]; [None]; [0]
+OCCc1cn(-c2ccc3n[nH]cc3c2)cn1; ['Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1']; ['OCCc1c[nH]cn1', 'OCCc1c[nH]cn1']; [0.9959520101547241, 0.9951598644256592]
+C[C@@H](Nc1ccc2n[nH]cc2c1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'Brc1ccc2n[nH]cc2c1', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['Ic1ccc2n[nH]cc2c1', 'C[C@@H](N)C(C)(C)O', 'Fc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; [0.9866859912872314, 0.961766242980957, 0.8978991508483887, 0.7670964002609253]
+OCc1ccn(-c2ccc3n[nH]cc3c2)n1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1']; ['Fc1cccc(Cl)c1Br', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1I', 'Ic1ccc2n[nH]cc2c1', 'Fc1cccc(Cl)c1Cl', 'Clc1ccc2n[nH]cc2c1', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl']; [0.9999997615814209, 0.9999973773956299, 0.9999956488609314, 0.999995231628418, 0.9999754428863525, 0.9999611377716064, 0.999671459197998, 0.9986221790313721, 0.9838894605636597]
+c1ccc2c(c1)cnn2-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
+COc1ccc(-c2ccc3n[nH]cc3c2)c(OC)c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'Brc1ccc2n[nH]cc2c1', 'COc1ccc(B(O)O)c(OC)c1']; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'Ic1ccc2n[nH]cc2c1', 'COc1ccc(Cl)c(OC)c1', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'COc1ccc(B(O)O)c(OC)c1', 'Clc1ccc2n[nH]cc2c1']; [0.9999898672103882, 0.9999792575836182, 0.9999619722366333, 0.9999300837516785, 0.9998600482940674, 0.9997692704200745, 0.9950283169746399, 0.9719505310058594, 0.9584415555000305]
+Oc1cccc2c1cnn2-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
+c1ncn(-c2ccc(-c3ccc4n[nH]cc4c3)cc2)n1; [None]; [None]; [0]
+Oc1ccc2nc(-c3ccc4n[nH]cc4c3)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc3n[nH]cc3c2)[nH]1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3n[nH]cc3c2)CC1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4n[nH]cc4c3)nn2)cc1; ['Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['c1ccc(Cn2ccnn2)cc1', 'c1ccc(Cn2ccnn2)cc1']; [0.9979078769683838, 0.9890785217285156]
+Nc1nnc(-c2ccc3n[nH]cc3c2)s1; ['N#Cc1ccc2n[nH]cc2c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc2n[nH]cc2c1']; [0.9999006986618042, 0.9975078701972961]
+c1cc2n[nH]cc2cc1-c1nncn1C1CC1; [None]; [None]; [0]
+O=C(CCc1ccc2n[nH]cc2c1)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1ccc2n[nH]cc2c1)NCc1ccccn1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2ccc3n[nH]cc3c2)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ccc5n[nH]cc5c4)n3n2)cc1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3n[nH]cc3c2)s1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; ['CNC(=O)c1ccc(Br)s1']; [0.9999969005584717]
+CCc1cc(-c2ccc3n[nH]cc3c2)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc3n[nH]cc3c2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; [0.9999916553497314, 0.9998894333839417]
+CCCCc1cc(-c2ccc3n[nH]cc3c2)nc(N)n1; [None]; [None]; [0]
+c1ccc2sc(-c3ccc4n[nH]cc4c3)nc2c1; ['Brc1nc2ccccc2s1', 'Nc1ccccc1S', 'Brc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'O=Cc1ccc2n[nH]cc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Ic1ccc2n[nH]cc2c1', 'Brc1nc2ccccc2s1']; [0.9999948740005493, 0.9997974038124084, 0.998525857925415, 0.997650682926178, 0.9968132972717285, 0.9728953838348389]
+CC1(C)Oc2ccc(-c3ccc4n[nH]cc4c3)nc2NC1=O; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)Oc2cccnc2NC1=O']; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'Ic1ccc2n[nH]cc2c1']; [0.9998884201049805, 0.8838001489639282]
+Nc1cncc(-c2ccc3n[nH]cc3c2)n1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1']; ['Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1']; [0.9999986886978149, 0.9999966621398926, 0.9831498265266418]
 [NH3+]Cc1ccc(Oc2ccc3n[nH]cc3c2)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3ccc4n[nH]cc4c3)nc2NC1=O; [None]; [None]; [0]
+c1cc(-c2ccc3n[nH]cc3c2)c2sccc2c1; ['Brc1ccc2n[nH]cc2c1', 'Brc1cccc2ccsc12', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1', 'Clc1cccc2ccsc12', 'Clc1ccc2n[nH]cc2c1', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999992847442627, 0.9999969005584717, 0.999994158744812, 0.9999637603759766, 0.9999330043792725, 0.987873375415802, 0.9351886510848999]
+C[C@@H2]NC(=O)N1CCC(c2ccc3n[nH]cc3c2)CC1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
+c1cc(-c2ccc3n[nH]cc3c2)c2snnc2c1; ['Brc1cccc2nnsc12', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1cccc2nnsc12', 'Brc1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Clc1cccc2nnsc12', 'Ic1ccc2n[nH]cc2c1', 'Brc1cccc2nnsc12']; [0.9999992251396179, 0.9999916553497314, 0.9996989965438843, 0.9561947584152222]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4n[nH]cc4c3)c2)cc1; [None]; [None]; [0]
-c1cc(-c2ccc3n[nH]cc3c2)c2snnc2c1; [None]; [None]; [0]
+c1ccc2nc(-c3ccc4n[nH]cc4c3)ncc2c1; ['Brc1ncc2ccccc2n1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Clc1ncc2ccccc2n1', 'c1ccc2ncncc2c1']; [0.9999934434890747, 0.999974250793457, 0.9290667772293091]
+c1cnc2c(-c3ccc4n[nH]cc4c3)c[nH]c2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C']; ['Ic1c[nH]c2cccnc12', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Clc1c[nH]c2cccnc12']; [0.9999973773956299, 0.9999894499778748, 0.9999486207962036, 0.9998618364334106]
+c1cc2cnc(-c3ccc4n[nH]cc4c3)nc2[nH]1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Ic1ccc2n[nH]cc2c1']; ['Clc1ncc2cc[nH]c2n1', 'c1ncc2cc[nH]c2n1']; [0.999992847442627, 0.9720755219459534]
+Nc1nc(-c2ccc3n[nH]cc3c2)nc2ccccc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc3n[nH]cc3c2)[nH]1; [None]; [None]; [0]
+OCCn1cnc(-c2ccc3n[nH]cc3c2)c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc2n[nH]cc2c1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc3n[nH]cc3c2)c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'Brc1ccc2n[nH]cc2c1', 'COc1ccc(OC)c(B(O)O)c1', 'Brc1ccc2n[nH]cc2c1', 'COc1ccc(OC)cc1']; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Cl)c1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'COc1ccc(OC)c(B(O)O)c1', 'Clc1ccc2n[nH]cc2c1', 'COc1ccc(OC)cc1', 'Ic1ccc2n[nH]cc2c1']; [0.9999982118606567, 0.9999973177909851, 0.9999262094497681, 0.9998879432678223, 0.9994726181030273, 0.9991716742515564, 0.9962561130523682, 0.9959577322006226, 0.9799211025238037, 0.9754070043563843, 0.9543681144714355]
+COc1ncccc1-c1ccc2n[nH]cc2c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'Brc1ccc2n[nH]cc2c1', 'COc1ncccc1B(O)O', 'Brc1ccc2n[nH]cc2c1', 'COc1ncccc1B(O)O', 'Brc1ccc2n[nH]cc2c1']; ['COc1ncccc1Br', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1I', 'COc1ncccc1Cl', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'Ic1ccc2n[nH]cc2c1', 'COc1ncccc1B(O)O', 'Clc1ccc2n[nH]cc2c1', 'COc1ncccc1Br']; [0.9999970197677612, 0.9999916553497314, 0.9999837875366211, 0.9999714493751526, 0.9999713897705078, 0.9999401569366455, 0.9996665716171265, 0.999091386795044, 0.9982829093933105, 0.9856865406036377, 0.9775567054748535, 0.9698606729507446]
+CN(C)S(=O)(=O)c1cccc(-c2ccc3n[nH]cc3c2)c1; ['CC1(C)OB(c2ccc3n[nH]cc3c2)OC1(C)C', 'Brc1ccc2n[nH]cc2c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Brc1ccc2n[nH]cc2c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Brc1ccc2n[nH]cc2c1']; ['CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccc2n[nH]cc2c1', 'Clc1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'Ic1ccc2n[nH]cc2c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Clc1ccc2n[nH]cc2c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; [0.9999945163726807, 0.9999929666519165, 0.9999880790710449, 0.9998997449874878, 0.9994606375694275, 0.9976116418838501, 0.9973177313804626, 0.989649772644043, 0.9608607292175293]
 COc1ccc(Oc2ccc3n[nH]cc3c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc3n[nH]cc3c2)n1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CNC(=O)c1ccccc1Br', 'Brc1ccc2[nH]ncc2c1', 'CNC(=O)c1ccccc1']; ['CNC(=O)c1ccccc1Br', 'OB(O)c1ccc2[nH]ncc2c1', 'CNC(=O)c1ccccc1B(O)O', 'OB(O)c1ccc2[nH]ncc2c1']; [0.9999991655349731, 0.9999974966049194, 0.9999597072601318, 0.9776341915130615]
+C[C@@]1(O)CC[C@H](c2ccc3n[nH]cc3c2)CC1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc3n[nH]cc3c2)cnn1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4ccc5n[nH]cc5c4)CC3)nc2c1; [None]; [None]; [0]
+COC(C)(C)CCc1ccc2[nH]ncc2c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc2[nH]ncc2c1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'Clc1ccc2[nH]ncc2c1']; [0.9999979734420776, 0.9999960660934448, 0.9999914169311523, 0.9999619722366333, 0.9999420642852783, 0.9963058233261108, 0.9808334112167358]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3n[nH]cc3c2)C1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ccc3n[nH]cc3c2)c1)C1CCNCC1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ccc3[nH]ncc3c2)c1; ['Fc1cc(F)cc(CCl)c1']; ['c1ccc2[nH]ncc2c1']; [0.7620078921318054]
+CP(C)(=O)c1ccccc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'FC(F)(F)Oc1ccccc1Br', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1Cl', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'FC(F)(F)Oc1ccccc1', 'Brc1ccc2[nH]ncc2c1']; ['FC(F)(F)Oc1ccccc1Br', 'Ic1ccc2[nH]ncc2c1', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccccc1OC(F)(F)F', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'FC(F)(F)Oc1ccccc1Cl', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccccc1OC(F)(F)F', 'Clc1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'Ic1ccc2[nH]ncc2c1', 'FC(F)(F)Oc1ccccc1']; [0.9999987483024597, 0.9999953508377075, 0.9999930262565613, 0.9999920725822449, 0.9999891519546509, 0.9999785423278809, 0.9999746084213257, 0.9999552965164185, 0.9999414086341858, 0.9999136924743652, 0.9999006390571594, 0.9997670650482178, 0.9997485876083374, 0.9985605478286743, 0.9951614141464233, 0.9864867925643921, 0.9334328174591064]
+Cn1cnc2ccc(-c3ccc4[nH]ncc4c3)cc2c1=O; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cn1cnc2ccc(Br)cc2c1=O', 'Brc1ccc2[nH]ncc2c1']; ['Cn1cnc2ccc(Br)cc2c1=O', 'OB(O)c1ccc2[nH]ncc2c1', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9999995231628418, 0.9999986290931702, 0.989549994468689]
+c1ccc2c(-c3ccc4[nH]ncc4c3)ccnc2c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ccc3[nH]ncc3c2)c1; ['Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'FC(F)(F)c1cccc(I)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'FC(F)(F)c1cccc(Br)c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'O=S(=O)(Oc1cccc(C(F)(F)F)c1)C(F)(F)F', 'FC(F)(F)c1cccc(Cl)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(Br)c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'FC(F)(F)c1cccc(Br)c1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(Br)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'FC(F)(F)c1cccc(Cl)c1', 'Clc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'FC(F)(F)c1cccc(I)c1', 'CCCC[Sn](CCCC)(CCCC)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'c1ccc2[nH]ncc2c1', 'FC(F)(F)c1cccc(Cl)c1', 'F[B-](F)(F)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1ccccc1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1ccccc1', 'c1ccc2[nH]ncc2c1']; [0.9999992847442627, 0.9999992847442627, 0.9999992847442627, 0.999998152256012, 0.9999980926513672, 0.9999978542327881, 0.9999972581863403, 0.9999963045120239, 0.999995231628418, 0.9999877214431763, 0.999983549118042, 0.9999822974205017, 0.9999730587005615, 0.9999693632125854, 0.9999460577964783, 0.999919056892395, 0.9997316598892212, 0.9995964169502258, 0.998757541179657, 0.998383641242981, 0.9982249140739441, 0.9981045722961426, 0.8420597314834595, 0.8051093816757202]
+CCn1cc(-c2ccc3[nH]ncc3c2)cn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4[nH]ncc4c3)cn2)cc1; ['Ic1cnn(Cc2ccccc2)c1', 'Brc1cnn(Cc2ccccc2)c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'Ic1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Clc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Clc1ccc2[nH]ncc2c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Brc1cnn(Cc2ccccc2)c1', 'c1ccc(Cn2cccn2)cc1']; [0.9999985694885254, 0.9999971389770508, 0.9999932050704956, 0.9999930262565613, 0.9999919533729553, 0.9999908208847046, 0.9999908208847046, 0.9999721050262451, 0.9991194009780884, 0.9989991188049316, 0.9976632595062256, 0.9860721826553345]
+NC(=O)c1ccccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'NC(=O)c1ccccc1Cl', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'NC(=O)c1ccccc1B(O)O', 'Clc1ccc2[nH]ncc2c1']; ['NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'NC(=O)c1ccccc1B(O)O', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1Br', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1B(O)O', 'c1ccc2[nH]ncc2c1', 'NC(=O)c1ccccc1', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1Br', 'c1ccc2[nH]ncc2c1', 'NC(=O)c1ccccc1Br']; [0.9999967813491821, 0.999993622303009, 0.9999927282333374, 0.9999916553497314, 0.9999889135360718, 0.9999815821647644, 0.9999608993530273, 0.9999545812606812, 0.9998832941055298, 0.9996081590652466, 0.9995675086975098, 0.9995431900024414, 0.9992234706878662, 0.9982584714889526, 0.9911386966705322, 0.9892854690551758, 0.986657977104187, 0.9735623598098755, 0.9413263201713562, 0.814521312713623]
+CC(C)(C)c1nc(-c2ccc3[nH]ncc3c2)cs1; ['Brc1ccc2[nH]ncc2c1']; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1']; [0.9999994039535522]
+c1ccc(-c2ncc(-c3ccc4[nH]ncc4c3)[nH]2)cc1; ['OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1']; ['c1ccc(-c2ncc[nH]2)cc1', 'c1ccc(-c2ncc[nH]2)cc1']; [0.9999082088470459, 0.9333949089050293]
+CC(C)C(=O)COc1ccc2[nH]ncc2c1; ['CC(C)C(=O)CBr', 'CC(C)C(=O)CCl']; ['Oc1ccc2[nH]ncc2c1', 'Oc1ccc2[nH]ncc2c1']; [0.9991710186004639, 0.99908447265625]
+COc1cnc(-c2ccc3[nH]ncc3c2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'COc1cncnc1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'Ic1ccc2[nH]ncc2c1', 'COc1cncnc1']; [0.9999871253967285, 0.9999692440032959, 0.9999682903289795, 0.999962329864502, 0.9997532367706299, 0.9779424667358398, 0.957706093788147]
+Clc1ccc(Cl)c(-c2ccc3[nH]ncc3c2)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc(Cl)c(Br)c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1ccc(Cl)c(Cl)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Clc1ccc(Cl)cc1']; ['Clc1ccc(Cl)c(Br)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc(Cl)c(I)c1', 'Ic1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(I)c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Ic1ccc2[nH]ncc2c1']; [0.9999969601631165, 0.9999951720237732, 0.9999933242797852, 0.9999927282333374, 0.9998926520347595, 0.9998807907104492, 0.9998680353164673, 0.9998635053634644, 0.9998123645782471, 0.9995911121368408, 0.9990901947021484, 0.9984557032585144, 0.9954224228858948, 0.9855819940567017, 0.9843060970306396, 0.8875945806503296]
+O=C(Nc1cccc(-c2ccc3[nH]ncc3c2)c1)c1ccccc1; ['Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999996423721313, 0.9999979734420776, 0.9999752044677734, 0.9999477863311768, 0.9999333620071411, 0.9981194734573364]
+c1ccn2c(-c3ccc4[nH]ncc4c3)cnc2c1; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2ccccn12', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2ccccn12', 'Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1cnc2ccccn12', 'OB(O)c1ccc2[nH]ncc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999997615814209, 0.9999995231628418, 0.9999990463256836, 0.9999985694885254, 0.9999956488609314, 0.9999935626983643, 0.9996967315673828, 0.9921319484710693, 0.9847440719604492]
+Cc1ccc(-c2ccc3[nH]ncc3c2)c(Br)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cc1ccc(I)c(Br)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Brc1ccc2[nH]ncc2c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1cccc(Br)c1', 'Brc1ccc2[nH]ncc2c1']; ['Cc1ccc(I)c(Br)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Cc1ccc(I)c(Br)c1']; [0.9999788403511047, 0.9999398589134216, 0.9999158978462219, 0.9998133182525635, 0.9996718168258667, 0.9993417263031006, 0.9973344802856445, 0.9869362115859985, 0.9832216501235962, 0.9641560316085815, 0.9595489501953125, 0.903347373008728]
+Cc1nc2ccccn2c1-c1ccc2[nH]ncc2c1; ['Cc1nc2ccccn2c1I', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cc1cn2ccccc2n1', 'Cc1nc2ccccn2c1Br', 'Brc1ccc2[nH]ncc2c1', 'Cc1cn2ccccc2n1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Cc1cn2ccccc2n1', 'Ic1ccc2[nH]ncc2c1', 'Cc1nc2ccccn2c1Br']; [0.999998927116394, 0.9999988079071045, 0.9999985694885254, 0.9999971389770508, 0.9999922513961792, 0.9999105334281921, 0.9998887181282043, 0.9881078004837036]
+OCCn1cc(-c2ccc3[nH]ncc3c2)cn1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccc3[nH]ncc3c2)s1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CNc1nc(C)c(Br)s1']; ['CNc1nc(C)c(Br)s1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.9999145269393921, 0.9997155666351318]
+c1cnn2c(-c3ccc4[nH]ncc4c3)cnc2c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2cccnn12', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1ccc2[nH]ncc2c1', 'c1cnn2ccnc2c1']; [1.0, 1.0, 1.0, 0.9999997019767761, 0.9997537732124329]
+Cc1nc(N)sc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cc1nc(N)sc1Br', 'Brc1ccc2[nH]ncc2c1', 'Cc1csc(N)n1']; ['Cc1nc(N)sc1Br', 'OB(O)c1ccc2[nH]ncc2c1', 'Cc1csc(N)n1', 'Ic1ccc2[nH]ncc2c1']; [0.9999983310699463, 0.9999849796295166, 0.995557427406311, 0.9951289296150208]
+c1cncc(CNc2ccc3[nH]ncc3c2)c1; ['Ic1ccc2[nH]ncc2c1', 'BrCc1cccnc1', 'Nc1ccc2[nH]ncc2c1', 'ClCc1cccnc1', 'Nc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'O=Cc1cccnc1']; ['NCc1cccnc1', 'Nc1ccc2[nH]ncc2c1', 'OCc1cccnc1', 'Nc1ccc2[nH]ncc2c1', 'O=Cc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'O=[N+]([O-])c1ccc2[nH]ncc2c1']; [0.9999002814292908, 0.999653697013855, 0.9995509386062622, 0.9994000792503357, 0.9989727735519409, 0.9988641142845154, 0.996187686920166, 0.9672008752822876, 0.8384650349617004]
+Cc1nc(C)c(-c2ccc3[nH]ncc3c2)s1; ['Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(Br)s1', 'Brc1ccc2[nH]ncc2c1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(Br)s1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Cc1csc(C)n1', 'Ic1ccc2[nH]ncc2c1']; [0.9999980330467224, 0.9999973773956299, 0.9999914169311523, 0.9999874234199524, 0.9934191703796387, 0.9903819561004639]
+c1cc(Cn2cncn2)cc(-c2ccc3[nH]ncc3c2)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1']; ['c1ccc(Cn2cncn2)cc1', 'c1ccc(Cn2cncn2)cc1', 'c1ccc(Cn2cncn2)cc1']; [0.9993841648101807, 0.8278599977493286, 0.801075279712677]
+Cc1ccc(Cl)c(-c2ccc3[nH]ncc3c2)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cc1ccc(Cl)c(Br)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Br)c1', 'Brc1ccc2[nH]ncc2c1', 'Cc1ccc(Cl)c(Cl)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2[nH]ncc2c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(Br)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Cc1ccc(Cl)c(I)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Cc1ccc(Cl)c(I)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Cc1ccc(Cl)c(Br)c1', 'Clc1ccc2[nH]ncc2c1']; [0.9999963045120239, 0.9999775886535645, 0.9999681711196899, 0.9999592304229736, 0.9998519420623779, 0.9994792342185974, 0.9994632601737976, 0.9993435144424438, 0.9993393421173096, 0.9991668462753296, 0.9984314441680908, 0.9933109283447266, 0.9730069637298584, 0.9367433786392212, 0.894884467124939]
+Brc1cccc(-c2ccc3[nH]ncc3c2)c1; ['Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Ic1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Clc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Brc1cccc(Br)c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'Clc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1']; [0.999993085861206, 0.9999922513961792, 0.9999737739562988, 0.9999735355377197, 0.9999677538871765, 0.9999672174453735, 0.9998359680175781, 0.9997917413711548, 0.9997859597206116, 0.9995698928833008, 0.9994381666183472, 0.9994226694107056, 0.995357871055603, 0.9673575758934021, 0.8552365899085999]
+Clc1cccc(Cl)c1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1cccc(Cl)c1I', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'Clc1cccc(Cl)c1Br', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1cccc(Cl)c1Br', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Clc1cccc(Cl)c1Cl', 'Fc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Fc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1cccc(Cl)c1']; ['Clc1cccc(Cl)c1I', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Ic1ccc2[nH]ncc2c1', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1[Zn]Br', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Clc1cccc(Cl)c1', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl', 'Ic1ccc2[nH]ncc2c1']; [0.9999966621398926, 0.9999939203262329, 0.999990701675415, 0.9999904632568359, 0.9999807476997375, 0.9999772310256958, 0.9999521970748901, 0.9999502897262573, 0.9999163150787354, 0.9994772672653198, 0.9993253946304321, 0.9989660382270813, 0.998960554599762, 0.998284101486206, 0.9897409677505493, 0.9848679900169373, 0.9840143918991089, 0.9822381734848022, 0.8542053699493408]
+c1cncc(Nc2ccc3[nH]ncc3c2)c1; ['Nc1cccnc1', 'Brc1cccnc1', 'Nc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Fc1cccnc1', 'Ic1cccnc1', 'Ic1ccc2[nH]ncc2c1', 'Clc1cccnc1', 'Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'OB(O)c1cccnc1', 'Nc1cccnc1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1cccnc1', 'Nc1ccc2[nH]ncc2c1', 'Nc1cccnc1', 'Nc1cccnc1']; [0.9998677968978882, 0.9994692802429199, 0.9994131326675415, 0.999353289604187, 0.9984679222106934, 0.9982659220695496, 0.9977280497550964, 0.9966360330581665, 0.9852103590965271, 0.9793316125869751]
+Nc1nccc(-c2ccc3[nH]ncc3c2)n1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Nc1ncccn1']; ['Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.9999998807907104, 0.9999996423721313, 0.9999992251396179, 0.9999988079071045, 0.9999957084655762, 0.9999895095825195, 0.9999867081642151, 0.9996756911277771, 0.9989303946495056]
+c1ccc2c(c1)ncn2-c1ccc2[nH]ncc2c1; ['OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9997314214706421, 0.9764970541000366, 0.9268592596054077]
+O=C(Nc1ccc2[nH]ncc2c1)c1cccs1; ['Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'COC(=O)c1cccs1', 'CCOC(=O)c1cccs1', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1']; [0.9999555349349976, 0.9998213052749634, 0.9977468848228455, 0.9962835907936096, 0.988764762878418, 0.9672881364822388]
+c1nc(CCNc2ccc3[nH]ncc3c2)c[nH]1; ['NCCc1c[nH]cn1', 'Ic1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'NCCc1c[nH]cn1', 'N#CCc1c[nH]cn1', 'Clc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'NCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'Oc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'NCCc1c[nH]cn1']; [0.9999989867210388, 0.9999920129776001, 0.9998149275779724, 0.9994962215423584, 0.9994663000106812, 0.9989871978759766, 0.9982061982154846, 0.9964460730552673]
+c1cnn2ncc(-c3ccc4[nH]ncc4c3)c2c1; ['Brc1cnn2ncccc12', 'Brc1ccc2[nH]ncc2c1', 'Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; [0.9999983906745911, 0.9999943971633911, 0.9999943971633911, 0.9999935626983643, 0.9995375275611877]
+c1ccc2cc(-c3ccc4[nH]ncc4c3)ccc2c1; ['Brc1ccc2[nH]ncc2c1', 'Brc1ccc2ccccc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'O=S(=O)(Oc1ccc2ccccc2c1)C(F)(F)F', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2ccccc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)COB(c2ccc3ccccc3c2)OC1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Clc1ccc2ccccc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2ccccc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2ccccc2c1', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2ccccc2c1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)COB(c2ccc3ccccc3c2)OC1', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2ccccc2c1', 'Clc1ccc2[nH]ncc2c1', 'Clc1ccc2ccccc2c1', 'Ic1ccc2[nH]ncc2c1', 'c1ccc2ccccc2c1', 'c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'F[B-](F)(F)c1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Clc1ccc2[nH]ncc2c1', 'Clc1ccc2ccccc2c1', 'c1ccc2ccccc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2ccccc2c1', 'c1ccc2[nH]ncc2c1']; [0.9999946355819702, 0.9999946355819702, 0.9999757409095764, 0.9999721646308899, 0.9999721646308899, 0.9999687671661377, 0.9999243021011353, 0.9999243021011353, 0.9999083280563354, 0.9999083280563354, 0.9999022483825684, 0.9998476505279541, 0.9998076558113098, 0.9998076558113098, 0.9997792840003967, 0.9995263814926147, 0.9992514252662659, 0.9990005493164062, 0.9990005493164062, 0.9981052875518799, 0.9981052875518799, 0.9948457479476929, 0.9810382127761841, 0.9796812534332275, 0.9796812534332275, 0.9784604907035828, 0.9636022448539734, 0.9328432083129883, 0.8193053007125854]
+NC(=O)c1c(F)cccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl']; ['NC(=O)c1c(F)cccc1Br', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1']; [0.9999983310699463, 0.9999745488166809, 0.9999113082885742]
 Cc1c(-c2ccc3[nH]ncc3c2)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(-c3ccc4[nH]ncc4c3)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc3[nH]ncc3c2)o1; [None]; [None]; [0]
+c1ccc(CCNc2ccc3[nH]ncc3c2)cc1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'NCCc1ccccc1', 'ClCCc1ccccc1', 'Ic1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'ICCc1ccccc1', 'CS(=O)(=O)OCCc1ccccc1', 'Nc1ccc2[nH]ncc2c1', 'N#CCc1ccccc1', 'BrCCc1ccccc1', 'Cc1ccc(S(=O)(=O)OCCc2ccccc2)cc1', 'C=Cc1ccccc1', 'Brc1ccc2[nH]ncc2c1', 'NCCc1ccccc1', 'Nc1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; ['NCCc1ccccc1', 'OB(O)c1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'NCCc1ccccc1', 'O=CCc1ccccc1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'OCCc1ccccc1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'NCCc1ccccc1', 'Oc1ccc2[nH]ncc2c1', 'O=C(O)Cc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; [0.9999257326126099, 0.9999129772186279, 0.9994071125984192, 0.9990285634994507, 0.9984543323516846, 0.9975878596305847, 0.9970095157623291, 0.9967647790908813, 0.9965788125991821, 0.9957246780395508, 0.995685338973999, 0.9897077083587646, 0.9864262938499451, 0.9829553365707397, 0.9765795469284058, 0.9748533964157104, 0.8700743913650513]
+c1ccc2c(-c3ccc4[nH]ncc4c3)cncc2c1; ['Brc1cncc2ccccc12', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1cncc2ccccc12', 'Brc1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1cncc2ccccc12', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Clc1cncc2ccccc12', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Br[Mg]c1cncc2ccccc12']; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1cncc2ccccc12', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1cncc2ccccc12', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1cncc2ccccc12', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'Ic1cncc2ccccc12', 'Clc1cncc2ccccc12', 'Clc1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Brc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Clc1ccc2[nH]ncc2c1']; [0.9999996423721313, 0.9999983310699463, 0.9999978542327881, 0.9999975562095642, 0.9999974966049194, 0.9999871253967285, 0.9999842047691345, 0.9999731779098511, 0.9999439716339111, 0.9998359680175781, 0.9997955560684204, 0.9997619986534119, 0.9994368553161621, 0.9993412494659424, 0.9984607696533203, 0.9955195188522339, 0.9755838513374329, 0.8381913304328918]
+FC(F)(F)c1n[nH]cc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ccc3[nH]ncc3c2)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccc4[nH]ncc4c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc4[nH]ncc4c3)ccc12; [None]; [None]; [0]
+Clc1ccc(CNc2ccc3[nH]ncc3c2)cc1; ['Clc1ccc(CBr)cc1', 'Ic1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'ClCc1ccc(Cl)cc1', 'Nc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'O=Cc1ccc(Cl)cc1']; ['Nc1ccc2[nH]ncc2c1', 'NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'O=CCc1ccc(Cl)cc1', 'Nc1ccc2[nH]ncc2c1', 'O=Cc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=[N+]([O-])c1ccc2[nH]ncc2c1']; [0.9999755620956421, 0.9999619722366333, 0.9999257326126099, 0.999856173992157, 0.9996871948242188, 0.9995015859603882, 0.9994844198226929, 0.9989312887191772, 0.9969744682312012, 0.9882850050926208]
 CN1c2ccc(-c3ccc4[nH]ncc4c3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4[nH]ncc4c3)ccc21; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3[nH]ncc3c2)n1; [None]; [None]; [0]
+c1cc(-c2ccc3[nH]ncc3c2)ccc1-c1cn[nH]c1; [None]; [None]; [0]
+c1cc(Nc2ccc3[nH]ncc3c2)ccn1; ['Nc1ccc2[nH]ncc2c1', 'Nc1ccncc1', 'Brc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Brc1ccncc1', 'Ic1ccncc1', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccncc1', 'Fc1ccc2[nH]ncc2c1', 'Fc1ccncc1', 'Clc1ccc2[nH]ncc2c1']; ['OB(O)c1ccncc1', 'OB(O)c1ccc2[nH]ncc2c1', 'Nc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccncc1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccncc1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccncc1']; [0.9999836683273315, 0.9999494552612305, 0.999443769454956, 0.9992775917053223, 0.9990606307983398, 0.9989197254180908, 0.9966041445732117, 0.9935588836669922, 0.9834321141242981, 0.954073429107666, 0.7730287909507751]
+Fc1ccccc1CNc1ccc2[nH]ncc2c1; ['Ic1ccc2[nH]ncc2c1', 'Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; ['NCc1ccccc1F', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'O=CCc1ccccc1F', 'OCc1ccccc1F', 'O=Cc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; [0.9998855590820312, 0.9998817443847656, 0.9996839761734009, 0.9990209341049194, 0.9985263347625732, 0.9983785152435303, 0.9975888133049011, 0.9931306838989258, 0.989494800567627]
+Oc1cccc(-c2ccc3[nH]ncc3c2)c1; [None]; [None]; [0]
+OCc1cccc(-c2ccc3[nH]ncc3c2)c1; [None]; [None]; [0]
+CC(C)n1cc(-c2ccc3[nH]ncc3c2)nn1; ['C#Cc1ccc2[nH]ncc2c1', 'CC(C)n1ccnn1', 'CC(C)n1ccnn1', 'Brc1ccc2[nH]ncc2c1']; ['CC(C)N=[N+]=[N-]', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'CC(C)n1ccnn1']; [0.9999983310699463, 0.999967098236084, 0.9997209310531616, 0.9996464252471924]
 COc1cc(-c2ccc3[nH]ncc3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2ccc3[nH]ncc3c2)nn1; [None]; [None]; [0]
-c1cc2[nH]ncc2cc1CCc1c[nH]nn1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ccc2[nH]ncc2c1; [None]; [None]; [0]
-O=C(Nc1ccc2[nH]ncc2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+c1ncc2c(-c3ccc4[nH]ncc4c3)csc2n1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12', 'Brc1csc2ncncc12', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'Brc1csc2ncncc12']; [0.9999994039535522, 0.9999972581863403, 0.9989983439445496, 0.941109299659729]
+Nc1nc(-c2ccc3[nH]ncc3c2)cs1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1', 'CC(=O)c1ccc2[nH]ncc2c1', None]; ['Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'NC(N)=S', None]; [0.9999998807907104, 0.9999996423721313, 0.9999995231628418, 0.9999955892562866, 0.9993143677711487, 0]
+CSc1nc(-c2ccc3[nH]ncc3c2)c[nH]1; ['CSc1ncc[nH]1']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.9920755624771118]
+c1cc2[nH]ncc2cc1CCc1c[nH]nn1; ['BrCc1ccc2[nH]ncc2c1']; ['Cc1c[nH]nn1']; [0.8351500630378723]
+CC(C)c1oncc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
+Nc1ncncc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Nc1ncncc1I', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Nc1ncncc1Br', 'Ic1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Nc1ncncc1Cl', 'Brc1ccc2[nH]ncc2c1']; ['Nc1ncncc1I', 'OB(O)c1ccc2[nH]ncc2c1', 'Nc1ncncc1Br', 'OB(O)c1ccc2[nH]ncc2c1', 'Nc1ncncc1Br', 'Nc1ncncc1Cl', 'OB(O)c1ccc2[nH]ncc2c1', 'Nc1ncncc1Br']; [0.9999994039535522, 0.9999974370002747, 0.9999961256980896, 0.9999896287918091, 0.9999039173126221, 0.9996432065963745, 0.9981918334960938, 0.9926068186759949]
+c1ccc2[nH]c(-c3ccc4[nH]ncc4c3)cc2c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3[nH]ncc3c2)cc1; ['Brc1ccc2[nH]ncc2c1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CCC(=O)Nc1ccccc1', 'c1ccc2[nH]ncc2c1']; [0.9999995231628418, 0.9999986290931702, 0.9999743700027466, 0.9997023344039917, 0.9995694160461426]
+Fc1ccc(-c2ccc3[nH]ncc3c2)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'c1ccc2[nH]ncc2c1']; [0.9999992847442627, 0.9999991655349731, 0.9999985694885254, 0.999995768070221, 0.9999933242797852, 0.9999914169311523, 0.9999881386756897, 0.9999871253967285, 0.9999749660491943, 0.9998714327812195, 0.9992973804473877, 0.999031126499176, 0.9976544976234436, 0.9911983013153076, 0.7929918169975281]
+CCNc1nc2ccc(-c3ccc4[nH]ncc4c3)cc2s1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc3[nH]ncc3c2)c1; [None]; [None]; [0]
+c1ccc(Oc2ccc3[nH]ncc3c2)nc1; ['Clc1ccccn1', 'Brc1ccccn1', 'Fc1ccccn1', 'OB(O)c1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; ['Oc1ccc2[nH]ncc2c1', 'Oc1ccc2[nH]ncc2c1', 'Oc1ccc2[nH]ncc2c1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1']; [0.9999978542327881, 0.9999933242797852, 0.9998866319656372, 0.9983483552932739, 0.9965036511421204, 0.995766282081604, 0.984478235244751, 0.8005074858665466]
+O=C(Nc1ccc2[nH]ncc2c1)c1c(Cl)cccc1Cl; ['Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', None, 'Brc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'COC(=O)c1c(Cl)cccc1Cl', 'CCOC(=O)c1c(Cl)cccc1Cl', 'O=C(Cl)c1c(Cl)cccc1Cl', 'Clc1ccc2[nH]ncc2c1']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', None, 'NC(=O)c1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'O=[N+]([O-])c1ccc2[nH]ncc2c1', 'NC(=O)c1c(Cl)cccc1Cl']; [0.999991238117218, 0.9999759197235107, 0.9999639391899109, 0, 0.9998090267181396, 0.9996523857116699, 0.9994848966598511, 0.9991525411605835, 0.9955545663833618, 0.9761109948158264]
+CC(=O)Nc1cccc(-c2ccc3[nH]ncc3c2)c1; ['Brc1ccc2[nH]ncc2c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2[nH]ncc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1ccc2[nH]ncc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc([B-](F)(F)F)c1', 'c1ccc2[nH]ncc2c1']; [0.9999994039535522, 0.9999992847442627, 0.9999970197677612, 0.9999878406524658, 0.9999740719795227, 0.9999572038650513, 0.9999024271965027, 0.9998980760574341, 0.998968780040741, 0.9987493753433228, 0.998238205909729, 0.9973973035812378, 0.9432035684585571]
+CS(=O)(=O)C1CCN(c2ccc3[nH]ncc3c2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'CS(=O)(=O)C1CCNCC1']; [0.9999555349349976, 0.9996819496154785, 0.9895737171173096, 0.9857926964759827]
 CC(C)(COc1ccc2[nH]ncc2c1)S(C)(=O)=O; [None]; [None]; [0]
+Cn1cc(-c2ccc3[nH]ncc3c2)c2ccccc21; [None]; [None]; [0]
+COc1ccc(-c2ccc3[nH]ncc3c2)cc1Cl; [None]; [None]; [0]
+c1ccn2ncc(-c3ccc4[nH]ncc4c3)c2c1; [None]; [None]; [0]
+CCCn1cc(-c2ccc3[nH]ncc3c2)cn1; ['Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CCCn1cc(I)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(Cl)cn1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Br)cn1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(I)cn1', 'Clc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'CCCn1cc(Br)cn1', 'CCCn1cccn1']; [0.9999997019767761, 0.9999995231628418, 0.9999994039535522, 0.9999991655349731, 0.9999990463256836, 0.9999976754188538, 0.9999921321868896, 0.9999916553497314, 0.9999858140945435, 0.9999815225601196, 0.9999103546142578, 0.9998307824134827, 0.9994183778762817, 0.9978189468383789, 0.9020795822143555]
+NC(=O)CCCc1ccc2[nH]ncc2c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2ccc3[nH]ncc3c2)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ccc2[nH]ncc2c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ccc2[nH]ncc2c1; [None]; [None]; [0]
+O=c1cc(-c2ccc3[nH]ncc3c2)cc[nH]1; ['Brc1ccc2[nH]ncc2c1', 'O=c1cc(I)cc[nH]1', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'O=c1cc(Br)cc[nH]1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'O=c1cc(Cl)cc[nH]1', None, 'Ic1ccc2[nH]ncc2c1']; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'O=c1cc(Br)cc[nH]1', 'O=c1cc(I)cc[nH]1', 'OB(O)c1ccc2[nH]ncc2c1', 'O=c1cc(Cl)cc[nH]1', 'Clc1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', None, 'O=c1cccc[nH]1']; [0.9999947547912598, 0.9999861717224121, 0.99998539686203, 0.9999799728393555, 0.999973475933075, 0.9999265670776367, 0.999770998954773, 0.9994778633117676, 0.9993847608566284, 0, 0.7663703560829163]
+O=C1CCc2cccc(-c3ccc4[nH]ncc4c3)c21; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C']; ['O=C1CCc2cccc(Br)c21', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2ccccc21']; [0.9999954700469971, 0.9999945163726807, 0.9999754428863525, 0.9999455213546753, 0.9989667534828186, 0.9347497224807739, 0.929817795753479]
+COc1cc(CCc2ccc3[nH]ncc3c2)cc(OC)c1; ['BrCc1ccc2[nH]ncc2c1']; ['COc1cc(C)cc(OC)c1']; [0.8736375570297241]
+CCNS(=O)(=O)c1ccccc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1', 'Brc1ccc2[nH]ncc2c1', 'CCNS(=O)(=O)c1ccccc1']; ['CCNS(=O)(=O)c1ccccc1Br', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'CCNS(=O)(=O)c1ccccc1Br', 'Ic1ccc2[nH]ncc2c1']; [0.9999983906745911, 0.9999305605888367, 0.9997824430465698, 0.9947105646133423, 0.9868121147155762, 0.9045013785362244]
+C[S@](=O)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['Brc1ccc2[nH]ncc2c1', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CS(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2[nH]ncc2c1', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Cl)cc1', 'Brc1ccc2[nH]ncc2c1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2[nH]ncc2c1', 'CS(=O)c1ccc(Br)cc1', 'Ic1ccc2[nH]ncc2c1', 'CS(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2[nH]ncc2c1', 'CS(=O)c1ccc(Cl)cc1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'CS(=O)c1ccc(Br)cc1']; [0.9999948740005493, 0.9999803304672241, 0.9999533891677856, 0.9998986721038818, 0.999741792678833, 0.9997050166130066, 0.9991766214370728, 0.9991135597229004, 0.9973418116569519, 0.994076669216156, 0.8686419725418091]
+C[C@@H](Oc1ccc2[nH]ncc2c1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Brc1ccc2[nH]ncc2c1', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Ic1ccc2[nH]ncc2c1', 'Oc1ccc2[nH]ncc2c1', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; [0.9999303817749023, 0.9988683462142944, 0.9988416433334351, 0.9986053705215454, 0.8516781330108643]
+CCN(CC)c1ccc2[nH]ncc2c1; [None, None, None, None, 'CCNCC', None, 'CCNCC', 'Brc1ccc2[nH]ncc2c1', 'CCNCC', 'CCNCC']; [None, None, None, None, 'OB(O)c1ccc2[nH]ncc2c1', None, 'Ic1ccc2[nH]ncc2c1', 'CCNCC', 'Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; [0, 0, 0, 0, 0.9952646493911743, 0, 0.9890698194503784, 0.9522089958190918, 0.9117066860198975, 0.7711560726165771]
+COc1ccncc1Nc1ccc2[nH]ncc2c1; ['COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1Br', 'COc1ccncc1Cl', 'COc1ccncc1B(O)O', 'COc1ccncc1F', 'COc1ccncc1N', 'COc1ccncc1N', 'Brc1ccc2[nH]ncc2c1', 'COc1ccncc1N']; ['OB(O)c1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'COc1ccncc1N', 'Clc1ccc2[nH]ncc2c1']; [0.999974250793457, 0.9999667406082153, 0.9999514818191528, 0.9999327659606934, 0.9999297857284546, 0.9998849630355835, 0.99986732006073, 0.9997926950454712, 0.9996490478515625, 0.9995566606521606]
+CC(C)(N)c1ccc(-c2ccc3[nH]ncc3c2)cc1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ccc4[nH]ncc4c3)cc12; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'O=c1[nH]ccc2oc(Br)cc12']; ['O=c1[nH]ccc2oc(Br)cc12', 'OB(O)c1ccc2[nH]ncc2c1']; [0.9999980330467224, 0.9999918937683105]
+c1ccc(-c2ccncc2Nc2ccc3[nH]ncc3c2)cc1; ['Nc1cnccc1-c1ccccc1', 'Nc1ccc2[nH]ncc2c1', 'Brc1cnccc1-c1ccccc1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1cnccc1-c1ccccc1', 'Nc1ccc2[nH]ncc2c1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.9999979734420776, 0.9999957084655762, 0.999987006187439, 0.9998959302902222, 0.9998549818992615, 0.9994562864303589, 0.9912406206130981]
+CC(C)(C)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['Brc1ccc2[nH]ncc2c1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Brc1ccc2[nH]ncc2c1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'Brc1ccc2[nH]ncc2c1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC(C)(C)c1ccc(Br)cc1', 'Brc1ccc2[nH]ncc2c1', 'CC(C)(C)c1ccccc1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Clc1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'CC(C)(C)c1ccc(I)cc1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'Clc1ccc2[nH]ncc2c1', 'CC(C)(C)c1ccccc1', 'Ic1ccc2[nH]ncc2c1']; [1.0, 0.9999996423721313, 0.9999991655349731, 0.9999988079071045, 0.9999979734420776, 0.9999972581863403, 0.9999948740005493, 0.9999920129776001, 0.9999920129776001, 0.9999867081642151, 0.9999849796295166, 0.9999774694442749, 0.9999150037765503, 0.9999114274978638, 0.9999090433120728, 0.9977995157241821, 0.9965474009513855, 0.9877299666404724, 0.9622293710708618, 0.9170953035354614]
+c1ccc2ncc(Nc3ccc4[nH]ncc4c3)cc2c1; ['Nc1ccc2[nH]ncc2c1', 'Nc1cnc2ccccc2c1', 'Brc1ccc2[nH]ncc2c1', 'Fc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Ic1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'Clc1cnc2ccccc2c1', 'Clc1ccc2[nH]ncc2c1']; ['OB(O)c1cnc2ccccc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccc2[nH]ncc2c1', 'Nc1cnc2ccccc2c1']; [0.9999189972877502, 0.999889075756073, 0.9995988607406616, 0.9983819723129272, 0.9983327388763428, 0.9980003833770752, 0.9969809055328369, 0.9954231977462769, 0.9946304559707642, 0.8956480026245117]
+COc1cccc(F)c1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Br', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'COc1cccc(F)c1', 'COc1cccc(F)c1B(O)O', 'Brc1ccc2[nH]ncc2c1']; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Cl', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'COc1cccc(F)c1']; [0.9999998211860657, 0.9999997615814209, 0.9999997615814209, 0.9999997615814209, 0.9999996423721313, 0.9999995231628418, 0.9999990463256836, 0.9999969005584717, 0.9999967813491821, 0.9999914169311523, 0.9999853372573853, 0.9999817609786987, 0.9999648332595825, 0.9989367723464966, 0.9988647699356079, 0.9987980723381042, 0.9869277477264404]
+CNC(=O)c1c(F)cccc1-c1ccc2[nH]ncc2c1; ['CNC(=O)c1ccccc1F']; ['OB(O)c1ccc2[nH]ncc2c1']; [0.9654746055603027]
+CC(C)Oc1cncc(-c2ccc3[nH]ncc3c2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2[nH]ncc2c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2[nH]ncc2c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'Brc1ccc2[nH]ncc2c1', 'CC(C)Oc1cccnc1', 'Brc1ccc2[nH]ncc2c1']; ['Ic1ccc2[nH]ncc2c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CC(C)Oc1cncc(B(O)O)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CC(C)Oc1cncc(Br)c1', 'Ic1ccc2[nH]ncc2c1', 'CC(C)Oc1cccnc1']; [1.0, 0.9999998807907104, 0.9999997615814209, 0.9999978542327881, 0.9999967813491821, 0.9999945759773254, 0.9999925494194031, 0.9999854564666748, 0.9998428225517273, 0.9989405870437622, 0.9925258159637451, 0.8564150333404541]
 O=c1[nH]cc(Br)c2sc(-c3ccc4[nH]ncc4c3)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2ccc3[nH]ncc3c2)cc1; [None]; [None]; [0]
-CN(c1ccc2[nH]ncc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+c1cc2cc(-c3ccc4[nH]ncc4c3)cnc2[nH]1; ['Brc1cnc2[nH]ccc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1cnc2[nH]ccc2c1', 'Clc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Ic1ccc2[nH]ncc2c1', 'Clc1cnc2[nH]ccc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; [1.0, 0.9999998807907104, 0.9999992847442627, 0.999998927116394, 0.9999980926513672, 0.9999969005584717, 0.9999947547912598, 0.9999945163726807, 0.9999943971633911, 0.9999874830245972, 0.9999738335609436, 0.9999487400054932, 0.9999336004257202, 0.9996107816696167, 0.9993806481361389]
+c1cc2c(-c3ccc4[nH]ncc4c3)c[nH]c2cn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['Brc1ccc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CN', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2[nH]ncc2c1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Ic1ccc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'c1ccc(-c2ccc3[nH]ncc3c2)cc1', 'Ic1ccc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.9999983310699463, 0.9999966025352478, 0.9999815821647644, 0.9999774694442749, 0.9999583959579468, 0.9999063014984131, 0.9998214244842529, 0.9997693300247192, 0.9994771480560303, 0.9993624687194824, 0.9836311936378479, 0.9721229672431946, 0.7875507473945618]
 C[C@H](Nc1ccc2[nH]ncc2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2ccc3[nH]ncc3c2)n1; [None]; [None]; [0]
+Cc1cc(-c2ccc3[nH]ncc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3[nH]ncc3c2)cc1; [None]; [None]; [0]
+CN(c1ccc2[nH]ncc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+c1cc(N2CCOCC2)ccc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
+CC1(c2ccc3[nH]ncc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'Brc1ccc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(I)cc1', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'Clc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(Br)cc1']; [0.9999998807907104, 0.9999996423721313, 0.9999991655349731, 0.9999983310699463, 0.9999982714653015, 0.9999977946281433, 0.9999966025352478, 0.9999894499778748, 0.9999891519546509, 0.9999862909317017, 0.9999709129333496, 0.9999431371688843, 0.9998561143875122, 0.9991096258163452, 0.9946037530899048, 0.9926066398620605, 0.9911851286888123, 0.9824094176292419, 0.9808489084243774]
+OCc1ccn(-c2ccc3[nH]ncc3c2)n1; ['OB(O)c1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9999883770942688, 0.9996301531791687, 0.9993994235992432]
+C[C@H](Nc1ccc2[nH]ncc2c1)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'Brc1ccc2[nH]ncc2c1', 'C[C@H](N)C(C)(C)O']; ['OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Nc1ccc2[nH]ncc2c1', 'C[C@H](N)C(C)(C)O', 'Oc1ccc2[nH]ncc2c1']; [0.9956561326980591, 0.9881603717803955, 0.9546619653701782, 0.834557056427002, 0.7915948033332825]
+C[C@@H](Nc1ccc2[nH]ncc2c1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'C[C@@H](N)C(C)(C)O']; [0.9956561326980591, 0.9881603717803955, 0.834557056427002]
+OCCc1cn(-c2ccc3[nH]ncc3c2)cn1; ['Ic1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1']; ['OCCc1c[nH]cn1', 'OCCc1cnc[nH]1', 'OCCc1c[nH]cn1', 'OCCc1cnc[nH]1', 'OCCc1c[nH]cn1']; [0.9995445609092712, 0.9993031024932861, 0.9990261197090149, 0.9980118274688721, 0.7925100326538086]
+c1ncn(-c2ccc(-c3ccc4[nH]ncc4c3)cc2)n1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Brc1ccc2[nH]ncc2c1', 'Fc1cccc(Cl)c1Br', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1I', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Cl', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Clc1ccc2[nH]ncc2c1', 'Fc1cccc(Cl)c1', 'Fc1cccc(Cl)c1']; ['Fc1cccc(Cl)c1Br', 'Ic1ccc2[nH]ncc2c1', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'Fc1cccc(Cl)c1I', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Cl', 'Clc1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1', 'Fc1cccc(Cl)c1Cl', 'OB(O)c1c(F)cccc1Cl', 'c1ccc2[nH]ncc2c1', 'Fc1cccc(Cl)c1Br', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1']; [0.9999998211860657, 0.9999994039535522, 0.9999993443489075, 0.9999988079071045, 0.9999986886978149, 0.9999986886978149, 0.9999979138374329, 0.9999966621398926, 0.9999908208847046, 0.9999892711639404, 0.9999818801879883, 0.9999037981033325, 0.9998136758804321, 0.9997905492782593, 0.9990231990814209, 0.9988206624984741, 0.9979571104049683, 0.9804527759552002, 0.972775936126709, 0.9694164991378784, 0.9542489051818848]
+Oc1ccc2nc(-c3ccc4[nH]ncc4c3)[nH]c2c1; ['Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N']; ['O=Cc1ccc2[nH]ncc2c1', 'O=Cc1ccc2[nH]ncc2c1', 'O=C(O)c1ccc2[nH]ncc2c1']; [0.9957053065299988, 0.990955114364624, 0.7923805713653564]
+Oc1cccc2c1cnn2-c1ccc2[nH]ncc2c1; ['Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Fc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.99965500831604, 0.9990215301513672, 0.9841514229774475, 0.8707374930381775]
+COc1ccc(-c2ccc3[nH]ncc3c2)c(OC)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(B(O)O)c(OC)c1', 'Brc1ccc2[nH]ncc2c1']; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'COc1ccc(I)c(OC)c1', 'Clc1ccc2[nH]ncc2c1', 'COc1ccc(Br)c(OC)c1']; [0.999994695186615, 0.9999852776527405, 0.9999851584434509, 0.9999794960021973, 0.9999595880508423, 0.9999575614929199, 0.9999557733535767, 0.9998833537101746, 0.9997693300247192, 0.9992837905883789, 0.9990082383155823, 0.9988338947296143, 0.9988316893577576, 0.9983543157577515, 0.957779049873352]
+c1cc2[nH]ncc2cc1-c1nncn1C1CC1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc3[nH]ncc3c2)cc1; ['Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(I)cc1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Clc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'O=C(c1ccccc1)c1ccccc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Clc1ccc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'OB(O)c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccccc1', 'OB(O)c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9999982118606567, 0.9999948740005493, 0.9999934434890747, 0.9999880194664001, 0.9999845623970032, 0.9999668598175049, 0.999943733215332, 0.9999077320098877, 0.9998536109924316, 0.9997032880783081, 0.9996655583381653, 0.9995155334472656, 0.9993807673454285, 0.998146653175354, 0.9976879358291626, 0.9970198273658752, 0.9966601133346558, 0.9778234958648682, 0.9713040590286255, 0.9601742029190063, 0.8951354026794434, 0.8704501390457153]
+c1ccc2c(c1)cnn2-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3[nH]ncc3c2)CC1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4[nH]ncc4c3)nn2)cc1; ['C#Cc1ccc2[nH]ncc2c1', 'BrCc1ccccc1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['[N-]=[N+]=NCc1ccccc1', 'C#Cc1ccc2[nH]ncc2c1', 'c1ccc(Cn2ccnn2)cc1', 'c1ccc(Cn2ccnn2)cc1']; [1.0, 0.9999995827674866, 0.9997586011886597, 0.9991363883018494]
+O=C(CCc1ccc2[nH]ncc2c1)NCc1ccccn1; [None]; [None]; [0]
+Nc1nnc(-c2ccc3[nH]ncc3c2)s1; ['N#Cc1ccc2[nH]ncc2c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc2[nH]ncc2c1']; [0.9999409914016724, 0.9996364116668701]
+CC(C)n1cnnc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ccc5[nH]ncc5c4)n3n2)cc1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2ccc3[nH]ncc3c2)n1; [None]; [None]; [0]
 O=S(=O)(Cc1ccc2[nH]ncc2c1)NCc1ccccn1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
+CCc1cc(-c2ccc3[nH]ncc3c2)nc(N)n1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CCc1cc(Cl)nc(N)n1', 'Brc1ccc2[nH]ncc2c1']; ['CCc1cc(Cl)nc(N)n1', 'OB(O)c1ccc2[nH]ncc2c1', 'CCc1cc(Cl)nc(N)n1']; [0.9999893307685852, 0.9999707341194153, 0.9999014139175415]
+CNC(=O)c1ccc(-c2ccc3[nH]ncc3c2)s1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CNC(=O)c1ccc(Br)s1', 'CNC(=O)c1ccc(Cl)s1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['CNC(=O)c1ccc(Br)s1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'CNC(=O)c1ccc(Br)s1', 'CNC(=O)c1cccs1']; [0.9999991655349731, 0.999995768070221, 0.9999285936355591, 0.9972031116485596, 0.9644882678985596]
+CCCCc1cc(-c2ccc3[nH]ncc3c2)nc(N)n1; [None]; [None]; [0]
+c1ccc2sc(-c3ccc4[nH]ncc4c3)nc2c1; ['Brc1nc2ccccc2s1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Nc1ccccc1S', 'Brc1nc2ccccc2s1', None, 'Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1nc2ccccc2s1', 'O=Cc1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', None, 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Ic1ccc2[nH]ncc2c1']; [0.9999971985816956, 0.9999912977218628, 0.9999756813049316, 0.9999756217002869, 0, 0.9996877908706665, 0.9994833469390869, 0.9993791580200195, 0.9987914562225342]
+CC(C)(O)c1cccc(-c2ccc3[nH]ncc3c2)n1; [None]; [None]; [0]
+Nc1cncc(-c2ccc3[nH]ncc3c2)n1; ['Nc1cncc(Br)n1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Nc1cncc(Cl)n1', 'Brc1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'OB(O)c1ccc2[nH]ncc2c1', 'Nc1cncc(Br)n1']; [0.999998927116394, 0.999998927116394, 0.9999986886978149, 0.9999937415122986, 0.9945279359817505]
 [NH3+]Cc1ccc(Oc2ccc3[nH]ncc3c2)c(F)c1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1ccc2[nH]ncc2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ccc4[nH]ncc4c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4[nH]ncc4c3)c2)cc1; [None]; [None]; [0]
-c1cc(-c2ccc3[nH]ncc3c2)c2snnc2c1; [None]; [None]; [0]
-COc1ccc(Oc2ccc3[nH]ncc3c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc3[nH]ncc3c2)n1; [None]; [None]; [0]
+c1cc(-c2ccc3[nH]ncc3c2)c2sccc2c1; ['Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cccc2ccsc12', 'Brc1cccc2ccsc12', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'Clc1cccc2ccsc12', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Brc1cccc2ccsc12', 'Brc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Brc1cccc2ccsc12']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Ic1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Clc1cccc2ccsc12', 'Ic1ccc2[nH]ncc2c1', 'Brc1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'Clc1ccc2[nH]ncc2c1']; [0.9999995827674866, 0.9999969005584717, 0.999996542930603, 0.9999796152114868, 0.9999792575836182, 0.9999595880508423, 0.9999171495437622, 0.9998809099197388, 0.9996602535247803, 0.9993483424186707, 0.9991916418075562, 0.9835889339447021, 0.9695110321044922, 0.8213284015655518]
+C[C@@H2]NC(=O)N1CCC(c2ccc3[nH]ncc3c2)CC1; [None]; [None]; [0]
+c1cc(-c2ccc3[nH]ncc3c2)c2snnc2c1; ['Brc1cccc2nnsc12', 'Brc1cccc2nnsc12', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1cccc2nnsc12', 'Brc1cccc2nnsc12', 'Brc1ccc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1cccc2nnsc12', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1cccc2nnsc12']; [0.9999992847442627, 0.9999985694885254, 0.9999911785125732, 0.9999840259552002, 0.9999538660049438, 0.9963787794113159]
+c1ccc2nc(-c3ccc4[nH]ncc4c3)ncc2c1; ['Brc1ncc2ccccc2n1', 'Brc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1']; ['OB(O)c1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2[nH]ncc2c1', 'Clc1ncc2ccccc2n1', 'c1ccc2ncncc2c1', 'c1ccc2ncncc2c1']; [0.9999940395355225, 0.9999805688858032, 0.999932050704956, 0.9999270439147949, 0.993000328540802, 0.9824742674827576]
+CC(=O)Nc1ncc(-c2ccc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2ccc3[nH]ncc3c2)nc2ccccc12; [None]; [None]; [0]
+c1cc2cnc(-c3ccc4[nH]ncc4c3)nc2[nH]1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Clc1ncc2cc[nH]c2n1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1']; ['Clc1ncc2cc[nH]c2n1', 'OB(O)c1ccc2[nH]ncc2c1', 'c1ncc2cc[nH]c2n1', 'c1ncc2cc[nH]c2n1', 'c1ncc2cc[nH]c2n1']; [0.9999960064888, 0.9999755620956421, 0.998662531375885, 0.9664374589920044, 0.9499568343162537]
+c1cnc2c(-c3ccc4[nH]ncc4c3)c[nH]c2c1; [None]; [None]; [0]
+OCCn1cnc(-c2ccc3[nH]ncc3c2)c1; [None]; [None]; [0]
+COc1ccc(Oc2ccc3[nH]ncc3c2)c(F)c1F; ['COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(B(O)O)c(F)c1F', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc([N+](=O)[O-])c(F)c1F']; ['Oc1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'Oc1ccc2[nH]ncc2c1', 'COc1ccc(O)c(F)c1F', 'Fc1ccc2[nH]ncc2c1', 'Oc1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'Oc1ccc2[nH]ncc2c1']; [0.9999908208847046, 0.9999853372573853, 0.9999714493751526, 0.9999649524688721, 0.9999515414237976, 0.998093843460083, 0.9980238676071167, 0.9946035146713257, 0.9785299897193909]
+COc1ccc(C#N)cc1-c1ccc2[nH]ncc2c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(C#N)cc1I', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(C#N)cc1B(O)O', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1']; ['COc1ccc(C#N)cc1I', 'OB(O)c1ccc2[nH]ncc2c1', 'COc1ccc(C#N)cc1Br', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'COc1ccc(C#N)cc1Cl', 'Ic1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1I', 'Ic1ccc2[nH]ncc2c1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Clc1ccc2[nH]ncc2c1', 'COc1ccc(C#N)cc1', 'Clc1ccc2[nH]ncc2c1', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1Br', 'Clc1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1']; [0.9999992847442627, 0.9999992251396179, 0.9999986886978149, 0.9999972581863403, 0.9999958872795105, 0.9999938011169434, 0.9999901652336121, 0.9999897480010986, 0.9999801516532898, 0.9999772906303406, 0.9999704360961914, 0.9999486207962036, 0.9995574951171875, 0.9993550777435303, 0.9991227388381958, 0.9985588788986206, 0.9936519861221313, 0.9885385036468506, 0.9826663732528687, 0.9394345283508301]
+COc1ccc(OC)c(-c2ccc3[nH]ncc3c2)c1; ['CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(Br)c1', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(Cl)c1', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(OC)c(B(O)O)c1', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)cc1', 'Brc1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(B(O)O)c1', 'Ic1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(I)c1', 'OB(O)c1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccc2[nH]ncc2c1', 'COc1ccc(OC)cc1', 'Clc1ccc2[nH]ncc2c1', 'COc1ccc(OC)c(Br)c1', 'Clc1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'COc1ccc(OC)cc1', 'c1ccc2[nH]ncc2c1']; [0.9999985694885254, 0.9999982118606567, 0.9999971389770508, 0.9999903440475464, 0.9999722242355347, 0.999963104724884, 0.9999464154243469, 0.9999361038208008, 0.9999147057533264, 0.9998072385787964, 0.9997148513793945, 0.9992712140083313, 0.998523473739624, 0.9982811808586121, 0.9893454313278198, 0.9795043468475342, 0.9068009853363037, 0.8580892086029053, 0.7622402906417847]
+COc1ncccc1-c1ccc2[nH]ncc2c1; ['Brc1ccc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'CC1(C)OB(c2ccc3[nH]ncc3c2)OC1(C)C', 'COc1ncccc1Br', 'COc1ncccc1Cl', 'Brc1ccc2[nH]ncc2c1', 'COc1ncccc1Br', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2[nH]ncc2c1', 'Brc1ccc2[nH]ncc2c1', 'COc1ncccc1B(O)O', 'Brc1ccc2[nH]ncc2c1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'Ic1ccc2[nH]ncc2c1', 'COc1ncccc1I', 'OB(O)c1ccc2[nH]ncc2c1', 'Ic1ccc2[nH]ncc2c1', 'COc1ncccc1Cl', 'OB(O)c1ccc2[nH]ncc2c1', 'OB(O)c1ccc2[nH]ncc2c1', 'COc1ncccc1B(O)O', 'Ic1ccc2[nH]ncc2c1', 'Clc1ccc2[nH]ncc2c1', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1I', 'Clc1ccc2[nH]ncc2c1', 'COc1ncccc1Br']; [0.9999869465827942, 0.9999847412109375, 0.9999841451644897, 0.999982476234436, 0.9999793767929077, 0.9999785423278809, 0.9999164342880249, 0.9998904466629028, 0.9998353719711304, 0.9997768402099609, 0.999610424041748, 0.9995947480201721, 0.9995816946029663, 0.9985164403915405, 0.9973081350326538, 0.9679188132286072]
+CN(C)c1cc(-c2ccc3[nH]ncc3c2)cnn1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc3[nH]ncc3c2)c1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4ccc5[nH]ncc5c4)CC3)nc2c1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc3[nH]ncc3c2)CC1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ccc3[nH]ncc3c2)c1)C1CCNCC1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3[nH]ncc3c2)C1; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 CCOc1ccccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 COC(C)(C)CCc1cc(NC(N)=O)cs1; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cc(NC(N)=O)cs2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-NC(=O)Nc1csc(Cc2cc(F)cc(F)c2)c1; [None]; [None]; [0]
 CP(C)(=O)c1ccccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccnc3ccccc23)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ccccc2Br)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(Cc2cc(F)cc(F)c2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccccc2OC(F)(F)F)c1; [None]; [None]; [0]
+CCn1cc(-c2cc(NC(N)=O)cs2)cn1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccccc2C(=O)[O-])c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccccc2C(N)=O)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cnn(Cc3ccccc3)c2)c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc(NC(N)=O)cs3)cc2c1=O; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc([C@@H](N)c2ccco2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cnn(Cc3ccccc3)c2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cnn(CCO)c2)c1; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2cc(NC(N)=O)cs2)cs1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc(NC(=O)c3ccccc3)c2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-n2ncc3cccc(F)c3c2=O)c1; [None]; [None]; [0]
 COc1cnc(-c2cc(NC(N)=O)cs2)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1cc(NC(N)=O)cs1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cc(Cl)ccc2Cl)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-n2ncc3cccc(F)c3c2=O)c1; [None]; [None]; [0]
 Cc1ccc(-c2cc(NC(N)=O)cs2)c(Br)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1cc(NC(N)=O)cs1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc(NC(N)=O)cs2)s1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc(NC(N)=O)cs2)s1; [None]; [None]; [0]
 Cc1nc(C)c(-c2cc(NC(N)=O)cs2)s1; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cccc(Br)c2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(NCc2cccnc2)c1; [None]; [None]; [0]
-Cc1c(-c2cc(NC(N)=O)cs2)sc(=O)n1C; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccnc(N)n2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cnn3ncccc23)c1; [None]; [None]; [0]
-COc1cccc(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-n2cnc3ccccc32)c1; [None]; [None]; [0]
+Cc1c(-c2cc(NC(N)=O)cs2)sc(=O)n1C; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(Nc2cccnc2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-n2cnc3ccccc32)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(NCCc2c[nH]cn2)c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc(NC(N)=O)cs2)o1; [None]; [None]; [0]
 NC(=O)Nc1csc(NC(=O)c2cccs2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cccc(CC(=O)[O-])c2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cncc3ccccc23)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(NCCc2ccccc2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cccc(F)c2C(N)=O)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cccc(CC(=O)[O-])c2)c1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cc(NC(N)=O)cs3)cc2)cn1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ccc3c(N)[nH]nc3c2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(NCCc2ccccc2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2c[nH]nc2C(F)(F)F)c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(NC(N)=O)cs3)ccc21; [None]; [None]; [0]
 CN1c2ccc(-c3cc(NC(N)=O)cs3)cc2CS1(=O)=O; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc3c(N)[nH]nc3c2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cccc(CO)c2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc(-c3cn[nH]c3)cc2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(NCc2ccc(Cl)cc2)c1; [None]; [None]; [0]
 CCCn1cnc(-c2cc(NC(N)=O)cs2)n1; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(NC(N)=O)cs3)ccc21; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc(O)c2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cccc(CO)c2)c1; [None]; [None]; [0]
 COc1cc(-c2cc(NC(N)=O)cs2)ccc1C(=O)[O-]; [None]; [None]; [0]
 NC(=O)Nc1csc(Nc2ccncc2)c1; [None]; [None]; [0]
 CC(C)n1cc(-c2cc(NC(N)=O)cs2)nn1; [None]; [None]; [0]
-CSc1nc(-c2cc(NC(N)=O)cs2)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
+CSc1nc(-c2cc(NC(N)=O)cs2)c[nH]1; [None]; [None]; [0]
+NC(=O)Nc1csc(NCc2ccccc2F)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(CCc2c[nH]nn2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2csc3ncncc23)c1; [None]; [None]; [0]
 N#CCCc1cccc(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cc3ccccc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2csc(N)n2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cncnc2N)c1; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cc(NC(N)=O)cs3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(F)cc2C(F)(F)F)c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)CCCc1cc(NC(N)=O)cs1; [None]; [None]; [0]
+NC(=O)Nc1csc(Oc2ccccn2)c1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cc(NC(N)=O)cs1; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(NC(=O)c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
-Cn1cc(-c2cc(NC(N)=O)cs2)c2ccccc21; [None]; [None]; [0]
 CS(=O)(=O)C1CCN(c2cc(NC(N)=O)cs2)CC1; [None]; [None]; [0]
+NC(=O)Nc1csc(NC(=O)c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
 CC(C)(COc1cc(NC(N)=O)cs1)S(C)(=O)=O; [None]; [None]; [0]
 COc1ccc(-c2cc(NC(N)=O)cs2)cc1Cl; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)c1; [None]; [None]; [0]
+Cn1cc(-c2cc(NC(N)=O)cs2)c2ccccc21; [None]; [None]; [0]
 CCCn1cc(-c2cc(NC(N)=O)cs2)cn1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cc[nH]c(=O)c2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc3c2C(=O)CC3)c1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cc[nH]c(=O)c2)c1; [None]; [None]; [0]
 COc1cc(CCc2cc(NC(N)=O)cs2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)c1; [None]; [None]; [0]
 C[C@@H](Oc1cc(NC(N)=O)cs1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
 CCN(CC)c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cc3c(=O)[nH]ccc3o2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cc3c(=O)[nH]cc(Br)c3s2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
 COc1ccncc1Nc1cc(NC(N)=O)cs1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cc3c(=O)[nH]cc(Br)c3s2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cc3c(=O)[nH]ccc3o2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(Nc2cnccc2-c2ccccc2)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 NC(=O)Nc1csc(Nc2cnc3ccccc3c2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-NC(=O)Nc1csc([C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
 CC1(c2cc(NC(N)=O)cs2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CN(c1cc(NC(N)=O)cs1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
 CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+CN(c1cc(NC(N)=O)cs1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc(NC(N)=O)cs2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cc(NC(N)=O)cs1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cc1cc(-c2cc(NC(N)=O)cs2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 NC(=O)Nc1csc(-n2ccc(CO)n2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-n2cnc(CCO)c2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2c(F)cccc2Cl)c1; [None]; [None]; [0]
 C[C@H](Nc1cc(NC(N)=O)cs1)C(C)(C)O; [None]; [None]; [0]
+NC(=O)Nc1csc(-n2cnc(CCO)c2)c1; [None]; [None]; [0]
 C[C@@H](Nc1cc(NC(N)=O)cs1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cccc(F)c2C(N)=O)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-n2ncc3c(O)cccc32)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-n2ncc3ccccc32)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cccnc2O)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-n2ncc3c(O)cccc32)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cc(NC(N)=O)cs2)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc(NC(N)=O)cs2)c(OC)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(C(=O)c3ccccc3)cc2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(NC(N)=O)cs2)CC1; [None]; [None]; [0]
+COc1ccc(-c2cc(NC(N)=O)cs2)c(OC)c1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-NC(=O)Nc1csc(Cc2nnc3ccc(-c4ccccc4)nn23)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccn(CC[NH3+])n2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(CCC(=O)NCc2ccccn2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(Cc2nnc3ccc(-c4ccccc4)nn23)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(CS(=O)(=O)NCc2ccccn2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
-CCc1cc(-c2cc(NC(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cnc(N)s2)c1; [None]; [None]; [0]
 CCCCc1cc(-c2cc(NC(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2nnc(N)s2)c1; [None]; [None]; [0]
+CCc1cc(-c2cc(NC(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(NC(N)=O)cs2)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(NC(N)=O)cs2)n1; [None]; [None]; [0]
 NC(=O)Nc1csc(Oc2ccc(C[NH3+])cc2F)c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(NC(N)=O)cs2)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(NC(N)=O)cs2)CC1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cc(NC(N)=O)cs3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(NC(N)=O)cs3)c2)cc1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cncc(N)n2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc3ccsc23)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cccc3nnsc23)c1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cc(NC(N)=O)cs2)[nH]1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2nc(N)c3ccccc3n2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cccc3nnsc23)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2nc(N)c3ccccc3n2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cn(CCO)cn2)c1; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc(NC(N)=O)cs1; [None]; [None]; [0]
 COc1ccc(Oc2cc(NC(N)=O)cs2)c(F)c1F; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2cc(NC(N)=O)cs2)CC1; [None]; [None]; [0]
 COc1ccc(OC)c(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc(NC(N)=O)cs2)n1; [None]; [None]; [0]
 CN(C)c1cc(-c2cc(NC(N)=O)cs2)cnn1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 NC(=O)Nc1csc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc(NC(=O)C3CCNCC3)c2)c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 CCOc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)Nc1csc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-COc1ncccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
 COc1cc(-c2cc(NC(N)=O)cs2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cc(NC(N)=O)cs3)c2c1; [None]; [None]; [0]
 COc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cc(NC(N)=O)cs3)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc(NC(=O)C3CC3)c2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(NC(N)=O)cs3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(Nc2cc(NC(N)=O)cs2)sn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc(NC(N)=O)cs2)cn1; [None]; [None]; [0]
-NC(=O)Nc1csc(-n2ncc3ccccc3c2=O)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(C(N)=O)cc2)c1; [None]; [None]; [0]
+Cc1cc(Nc2cc(NC(N)=O)cs2)sn1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2nccc3ccccc23)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(Nc2ncccn2)c1; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3cc(NC(N)=O)cs3)cn2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(C(=O)Nc3ccccc3)cc2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(Cc2nccc3ccccc23)c1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cc(NC(N)=O)cs3)cn2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(OCCO)cc2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc(C(=O)N3CCOCC3)cc2)c1; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ccc(C(=O)N3CCOCC3)cc2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(Nc2ccncn2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ccc3c(c2)CS(=O)(=O)C3)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ccc(C(F)(F)F)cc2)c1; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc(C(F)(F)F)cc2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc3c(c2)CS(=O)(=O)C3)c1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)Nc1csc(Cc2ccccc2O)c1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2cc(NC(N)=O)cs2)CC1; [None]; [None]; [0]
-NC(=O)Nc1csc(Cc2cnc(N)nc2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc([C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
 CC(C)c1cc(-c2cc(NC(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc(Br)cc2)c1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(NC(N)=O)cs2)cc1Cl; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cc(NC(N)=O)cs3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cc(NC(N)=O)cs2)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ccc(Br)cc2)c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(NC(N)=O)cs2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccn3nccc3n2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(NC(N)=O)cs2)c(C)c1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(NC(N)=O)cs2)cc1Cl; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccccc2-n2cccn2)c1; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cc(NC(N)=O)cs3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cc(NC(N)=O)cs2)cc1Cl; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc3c(c2)CCO3)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cc3ccccc3cn2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cnc3ccccc3c2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(NC(N)=O)cs2)cn1; [None]; [None]; [0]
 COc1cc(-c2cc(NC(N)=O)cs2)ccc1O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc3c2OCO3)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2scc3c2OCCO3)c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cnc3ccccc3c2)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(NC(N)=O)cs2)cn1; [None]; [None]; [0]
-NC(=O)Nc1csc(Cc2nc3c(F)c(F)ccc3[nH]2)c1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(NC(N)=O)cs2)CC1; [None]; [None]; [0]
-CC1(COc2cc(NC(N)=O)cs2)COC1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccn(-c3cccc(Cl)c3)n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(NC(N)=O)cs3)cc2)CC1; [None]; [None]; [0]
+CC1(COc2cc(NC(N)=O)cs2)COC1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cc3ccccc3s2)c1; [None]; [None]; [0]
 Cc1cc(-c2cc(NC(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc(NC(N)=O)cs3)cc2)CC1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(F)cc2Cl)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc(Cl)cc2Cl)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ncc(Br)cn2)c1; [None]; [None]; [0]
-COc1ccc(-c2cc(NC(N)=O)cs2)cc1OC; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc3c(c2)CCC(=O)N3)c1; [None]; [None]; [0]
 CCc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+COc1ccc(-c2cc(NC(N)=O)cs2)cc1OC; [None]; [None]; [0]
+Cn1cc(-c2cc(NC(N)=O)cs2)c(C(F)(F)F)n1; [None]; [None]; [0]
 COc1ccc(CNc2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ccc(Cl)cc2Cl)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(CCCn2cncn2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(NC2CN(C(=O)C3CC3)C2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
 COc1cc(-c2cc(NC(N)=O)cs2)ccc1N1CCOCC1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
-Cn1cc(-c2cc(NC(N)=O)cs2)c(C(F)(F)F)n1; [None]; [None]; [0]
 CC1(C)Cc2cc(-c3cc(NC(N)=O)cs3)ccc2O1; [None]; [None]; [0]
 COc1ccc2cccc(-c3cc(NC(N)=O)cs3)c2c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(NC(N)=O)cs2)cc1OC; [None]; [None]; [0]
 COc1cc(-c2cc(NC(N)=O)cs2)ccc1Cl; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ncc(Cl)cn2)c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cc(NC(N)=O)cs2)cc1OC; [None]; [None]; [0]
 Cc1csc2c(-c3cc(NC(N)=O)cs3)ncnc12; [None]; [None]; [0]
 Cc1nc(Nc2cc(NC(N)=O)cs2)sc1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 Cc1cc(Nc2cc(NC(N)=O)cs2)nn1C; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(NC(N)=O)cs2)nc1; [None]; [None]; [0]
 COc1cc(-c2cc(NC(N)=O)cs2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 NC(=O)Nc1csc(Cc2ccc(C(N)=O)cc2)c1; [None]; [None]; [0]
-NC(=O)Nc1csc(Cc2ccc(S(=O)(=O)CCO)cc2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 NC(=O)Nc1csc(NC(=O)c2ccco2)c1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2cc(NC(N)=O)cs2)CC1; [None]; [None]; [0]
+NC(=O)Nc1csc(Cc2ccc(S(=O)(=O)CCO)cc2)c1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2cc(NC(N)=O)cs2)CC1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc(NC(N)=O)cs1)cn2C; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
 COc1ccc2oc(-c3cc(NC(N)=O)cs3)cc2c1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ccc3cn[nH]c3c2)c1; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ccc3cn[nH]c3c2)c1; [None]; [None]; [0]
 CC(C)(C)c1ccc(C(=O)Nc2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-CCn1cc(-c2cc(NC(N)=O)cs2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2cc3ccccc3o2)c1; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(NC(N)=O)cs3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(OC(F)(F)F)cc2)c1; [None]; [None]; [0]
+COc1ccc2nc(-c3cc(NC(N)=O)cs3)[nH]c2c1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cc(NC(N)=O)cs3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
 CCc1cccc(-c2cc(NC(N)=O)cs2)n1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cc(NC(N)=O)cs3)[nH]c2c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ncn3c2CCCC3)c1; [None]; [None]; [0]
 Cc1cc(-c2cc(NC(N)=O)cs2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3cc(NC(N)=O)cs3)ccc21; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc(NC(N)=O)cs2)cn1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cc(NC(N)=O)cs3)ccc21; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3cc(NC(N)=O)cs3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cc(NC(N)=O)cs3)cn2)CC1; [None]; [None]; [0]
-NC(=O)Nc1csc(-c2cccc(N3CCCC3=O)c2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(-c2ccc(CCO)cc2)c1; [None]; [None]; [0]
+NC(=O)Nc1csc(-c2cccc(N3CCCC3=O)c2)c1; [None]; [None]; [0]
 NC(=O)Nc1csc(NC(=O)c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cc(NC(N)=O)cs2)c(Cl)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cc(NC(N)=O)cs3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc(NC(N)=O)cs2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cc(NC(N)=O)cs2)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 NC(=O)Nc1csc(Nc2ccc(F)cn2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cc(NC(N)=O)cs2)ncc1F; [None]; [None]; [0]
 NC(=O)Nc1csc(Nc2ccccn2)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(NC(N)=O)cs2)nc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc(NC(N)=O)cs2)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cc(NC(N)=O)cs2)c1; [None]; [None]; [0]
+Cc1cc(Nc2cc(NC(N)=O)cs2)ncc1F; [None]; [None]; [0]
+Oc1cc(-c2c[nH]c3ncc(Cl)cc23)ccc1Cl; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; ['OB(O)c1ccc(Cl)c(O)c1', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9987786412239075, 0.9938327074050903]
 Cc1ccc(C(=O)NCCO)cc1-c1cc(NC(N)=O)cs1; [None]; [None]; [0]
+Oc1cccc(-c2c[nH]c3ncc(Cl)cc23)c1; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; ['Oc1cccc(Br)c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1']; [0.9999409914016724, 0.9999046325683594, 0.9998011589050293, 0.9997779130935669, 0.9980746507644653, 0.9879612326622009]
+Clc1cnc2[nH]cc(-c3cccc4ncccc34)c2c1; ['Brc1cccc2ncccc12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12']; [0.9999987483024597, 0.9999974966049194, 0.9999958276748657, 0.9997939467430115, 0.9997321367263794, 0.9987095594406128]
+Clc1cnc2[nH]cc(-c3c(Cl)ccc4c3OCO4)c2c1; ['Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2']; [0.9999608993530273, 0.9999583959579468, 0.9987521171569824]
+Clc1cnc2[nH]cc(-c3n[nH]c4ccccc34)c2c1; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C']; ['Ic1n[nH]c2ccccc12']; [0.9999830722808838]
+Clc1cnc2[nH]cc(-c3c(Cl)cccc3Cl)c2c1; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; ['Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999875426292419, 0.9998430013656616, 0.9997944831848145, 0.9982657432556152]
+CNS(=O)(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; [0.9999958872795105, 0.9999927282333374, 0.9995794296264648, 0.9972895979881287, 0.9971027970314026, 0.9924387335777283]
+Fc1ccc(Oc2c[nH]c3ncc(Cl)cc23)cc1; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9996157288551331, 0.9964839816093445]
+NC(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)c(F)c1; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; ['NC(=O)c1ccc(Br)c(F)c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1']; [0.9999997019767761, 0.9999994039535522, 0.9999966621398926, 0.999830961227417, 0.9998239278793335]
+Oc1ccc(-c2c[nH]c3ncc(Cl)cc23)c(Cl)c1; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; ['Oc1ccc(Br)c(Cl)c1', 'Clc1cnc2[nH]cc(I)c2c1', 'OB(O)c1ccc(O)cc1Cl', 'OB(O)c1ccc(O)cc1Cl']; [0.9999985694885254, 0.9999868869781494, 0.999930202960968, 0.9998972415924072]
+COc1cc(C(N)=O)ccc1-c1c[nH]c2ncc(Cl)cc12; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'COc1cc(C(N)=O)ccc1Br']; ['Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'COc1cc(C(N)=O)ccc1Br', 'Clc1cnc2[nH]ccc2c1']; [0.9999984502792358, 0.9999978542327881, 0.9999964833259583, 0.9493290185928345]
+NC(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', None, 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'N']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'NC(=O)c1ccc(Br)cc1', None, 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'O=C(O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1']; [0.9999982118606567, 0.9999963641166687, 0.9994803667068481, 0, 0.9986512064933777, 0.997761607170105, 0.9962059855461121]
+COc1ccc(F)cc1-c1c[nH]c2ncc(Cl)cc12; ['COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; [0.9999856948852539, 0.9999761581420898, 0.9998981952667236]
+Oc1ccc(-c2c[nH]c3ncc(Cl)cc23)c(F)c1; [None]; [None]; [0]
+Nc1nccc(-c2c[nH]c3ncc(Cl)cc23)n1; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C']; ['Nc1nccc(Cl)n1']; [0.9998623132705688]
+COc1cc(F)ccc1-c1c[nH]c2ncc(Cl)cc12; ['COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B(O)O']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; [0.9999375939369202, 0.9994356632232666]
+COc1cc(-c2c[nH]c3ncc(Cl)cc23)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'COc1cc(Br)ccc1O', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1']; [0.9999914765357971, 0.9999865293502808, 0.9999600648880005, 0.9993435144424438, 0.9963880777359009]
+O=C([O-])c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
+Clc1cnc2[nH]cc(-c3cccc(Br)c3)c2c1; ['Clc1cnc2[nH]cc(Cl)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1']; ['OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1']; [0.9986523389816284, 0.9985760450363159, 0.9973326325416565]
+COC(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)o1; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(B(O)O)o1']; ['COC(=O)c1ccc(Br)o1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; [0.999981164932251, 0.9924545288085938, 0.990027666091919]
+COc1cc(CCc2c[nH]c3ncc(Cl)cc23)ccc1O; ['COc1cc(CCO)ccc1O']; ['Clc1cnc2[nH]ccc2c1']; [0.9047818183898926]
+Clc1cnc2[nH]cc(-c3ccc4ccccc4c3)c2c1; ['Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.9996848106384277, 0.999683141708374, 0.9988067150115967]
+Cn1cc(-c2c[nH]c3ncc(Cl)cc23)c2ccccc21; ['Clc1cnc2[nH]cc(Br)c2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999989867210388]
+Oc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1F; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Oc1ccc(Br)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1']; [0.9999991655349731, 0.9999896883964539, 0.9988917708396912, 0.9973456859588623]
+Cc1nc2c(F)cc(-c3c[nH]c4ncc(Cl)cc34)cc2[nH]1; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3c[nH]c4ncc(Cl)cc34)cc2)c(O)c1; [None]; [None]; [0]
+Clc1cnc2[nH]cc(-c3cn[nH]c3Cl)c2c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2c[nH]c3ncc(Cl)cc23)c1; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; [0.9999985694885254, 0.999995231628418, 0.9999916553497314, 0.998854398727417, 0.9967528581619263, 0.993178129196167, 0.9923841953277588]
+Nc1cc(-c2c[nH]c3ncc(Cl)cc23)ccn1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Nc1cc(Br)ccn1', 'Clc1cnc2[nH]cc(I)c2c1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1']; [0.9999905824661255, 0.9999823570251465, 0.9999812245368958, 0.9946804642677307, 0.9871425628662109, 0.9839479923248291, 0.9120001792907715]
+Clc1cnc2[nH]cc(-c3c[nH]c4cnccc34)c2c1; ['Brc1c[nH]c2cnccc12', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1']; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9999803304672241, 0.999138355255127, 0.9970777034759521]
+Clc1cnc2[nH]cc(COc3ccccc3Cl)c2c1; [None]; [None]; [0]
+Fc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1Cl; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'OB(O)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1']; [0.9999997019767761, 0.9999721050262451, 0.9999181628227234, 0.9992818832397461]
+Cc1ccc2[nH]ncc2c1-c1c[nH]c2ncc(Cl)cc12; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Cc1ccc2[nH]ncc2c1B(O)O']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Cc1ccc2[nH]ncc2c1Br', 'Clc1cnc2[nH]cc(Br)c2c1']; [0.9999985098838806, 0.9999947547912598, 0.999701738357544]
+Oc1ccc(-c2c[nH]c3ncc(Cl)cc23)c(O)c1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; [0.9999953508377075, 0.9997057914733887, 0.9995549917221069, 0.9989702701568604]
+Oc1ccc(Cl)c(-c2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1c[nH]c2ncc(Cl)cc12; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1B(O)O']; ['Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; [0.9999949932098389, 0.9988418817520142, 0.9960194826126099]
+Oc1ncc(-c2c[nH]c3ncc(Cl)cc23)cc1Cl; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Oc1ncc(Br)cc1Cl']; [0.9999990463256836, 0.9999752044677734]
+Fc1ccc(-c2nc[nH]c2-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
+NC(=O)c1cc(-c2c[nH]c3ncc(Cl)cc23)c[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2c[nH]c3ncc(Cl)cc23)c1; ['CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; [0.9999238848686218, 0.9996139407157898, 0.9993751049041748]
+Clc1cnc2[nH]cc(-c3cnc4[nH]ccc4c3)c2c1; ['Clc1cnc2[nH]cc(Br)c2c1']; ['OB(O)c1cnc2[nH]ccc2c1']; [0.9999052286148071]
+Cc1nc2ccc(-c3c[nH]c4ncc(Cl)cc34)cc2[nH]1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1']; ['Clc1cnc2[nH]cc(Br)c2c1']; [0.9999845027923584]
 Clc1cnc2[nH]cc(-c3cnn4ncccc34)c2c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C']; ['Clc1cnc2[nH]cc(Br)c2c1', 'NC(=O)Nc1ccc(Br)cc1']; [0.9999991655349731, 0.9991052746772766]
+Clc1cnc2[nH]cc(-c3nc4ccccc4s3)c2c1; ['Clc1cnc2[nH]cc(Br)c2c1']; ['c1ccc2scnc2c1']; [0.9999895691871643]
+CS(=O)(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; [1.0, 0.9999996423721313, 0.9997972249984741, 0.999693751335144, 0.9980838894844055]
+COc1cc(OC)cc(-c2c[nH]c3ncc(Cl)cc23)c1; [None]; [None]; [0]
+Oc1cncc(-c2c[nH]c3ncc(Cl)cc23)c1; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; ['Oc1cncc(Br)c1', 'Oc1cncc(I)c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1']; [0.9998664855957031, 0.9998605251312256, 0.999858021736145, 0.9997600317001343, 0.9946296215057373, 0.9854937791824341]
+O=C1Cc2cc(-c3c[nH]c4ncc(Cl)cc34)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Clc1cnc2[nH]cc(Cl)c2c1', 'Clc1cnc2[nH]ccc2c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'Clc1cnc2[nH]cc(Cl)c2c1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1']; [0.9999817609786987, 0.9999754428863525, 0.9998747706413269, 0.9997243285179138, 0.9995898008346558, 0.9990276098251343, 0.9964456558227539, 0.996393084526062, 0.9825390577316284, 0.9186104536056519]
+CNc1nccc(-c2c[nH]c3ncc(Cl)cc23)n1; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C']; ['CNc1nccc(Cl)n1']; [0.999753475189209]
+CCc1cc(O)c(F)cc1-c1c[nH]c2ncc(Cl)cc12; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; ['CCc1cc(O)c(F)cc1Br', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; [0.9999997019767761, 0.9999975562095642, 0.9999974966049194]
+CNC(=O)c1cccc2cc(-c3c[nH]c4ncc(Cl)cc34)ccc12; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1c[nH]c2ncc(Cl)cc12; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B(O)O']; ['Cc1cc(O)ccc1Br', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; [0.9999972581863403, 0.9999598264694214, 0.9999442100524902, 0.9993358850479126, 0.9992657899856567]
+C[C@H](CC(N)=O)c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2c[nH]c3ncc(Cl)cc23)c1C; [None]; [None]; [0]
+COc1cc(CCc2c[nH]c3ncc(Cl)cc23)cc(OC)c1; [None]; [None]; [0]
+FC(F)c1cc(-c2c[nH]c3ncc(Cl)cc23)[nH]n1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3c[nH]c4ncc(Cl)cc34)ccc12; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1c[nH]c2ncc(Cl)cc12; ['CNc1cccc(Cl)c1']; ['Clc1cnc2[nH]cc(Br)c2c1']; [0.9846674203872681]
+Clc1cnc2[nH]cc(-c3ccc4c(c3)CCN4)c2c1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C']; ['Clc1cnc2[nH]cc(I)c2c1']; [0.9999979138374329]
+Oc1c(Cl)cc(-c2c[nH]c3ncc(Cl)cc23)cc1Cl; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Oc1c(Cl)cc(Br)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9999985098838806, 0.9999955892562866, 0.9999462366104126, 0.9977520704269409, 0.9962862730026245]
 Oc1cc(-c2c[nH]c3ncc(Cl)cc23)nc2ccnn12; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3c[nH]c4ncc(Cl)cc34)cc2[nH]1; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1']; [0.9999769926071167, 0.9998220205307007]
+Clc1cnc2[nH]cc(Nc3ccncc3)c2c1; ['Clc1cnc2[nH]cc(Cl)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1ccncc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1c[nH]c2ncc(Cl)cc12']; [0.9981892108917236, 0.9975311756134033, 0.9921988248825073]
+Fc1cc(Br)ccc1-c1c[nH]c2ncc(Cl)cc12; ['Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1']; ['OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F']; [0.9999298453330994, 0.9994199275970459]
 Cc1oc(-c2c[nH]c3ncc(Cl)cc23)cc1C(=O)[O-]; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
-Oc1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
-c1cc(-c2cc3ccncc3o2)c2cccnc2c1; [None]; [None]; [0]
-CCc1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
-Oc1cc(-c2cc3ccncc3o2)ccc1Cl; [None]; [None]; [0]
-c1ccc2c(-c3cc4ccncc4o3)n[nH]c2c1; [None]; [None]; [0]
+CCc1sccc1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
+CNc1nc(-c2c[nH]c3ncc(Cl)cc23)ncc1F; [None]; [None]; [0]
+Cn1ncc(N)c1-c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CN', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', None, 'CNC(=O)c1ccc(B(O)O)cc1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1', 'CNC(=O)c1ccc(Br)cc1', 'O=C(O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', None, 'Clc1cnc2[nH]cc(Cl)c2c1']; [0.9999991059303284, 0.9999988079071045, 0.9999971389770508, 0.9998502731323242, 0.9997868537902832, 0.9994197487831116, 0.999211311340332, 0, 0.9987906217575073]
+Clc1cnc2[nH]cc(-c3ccncc3Cl)c2c1; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2c[nH]c3ncc(Cl)cc23)c1; ['Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1']; ['OB(O)c1cc(O)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1']; [0.9998424053192139, 0.9988340139389038]
+Cc1cc(-c2c[nH]c3ncc(Cl)cc23)ccc1C(N)=O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Cc1cc(Br)ccc1C(N)=O']; [0.9999980926513672, 0.999996542930603]
+O=C(NC1CC1)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'NC1CC1', 'Clc1cnc2[nH]cc(Br)c2c1', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'O=C(O)c1ccc(-c2c[nH]c3ncc(Cl)cc23)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [1.0, 0.9999997615814209, 0.9999990463256836, 0.9999871253967285, 0.999970555305481, 0.999967098236084, 0.9997146725654602]
+Cc1nc2ccc(-c3c[nH]c4ncc(Cl)cc34)cc2o1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Cc1nc2ccc(B(O)O)cc2o1']; ['Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Cc1nc2ccc(Br)cc2o1', 'Clc1cnc2[nH]cc(Cl)c2c1']; [0.9999994039535522, 0.999998927116394, 0.9999949932098389, 0.9999816417694092, 0.9999669790267944, 0.9998012781143188]
+Fc1ccc2n[nH]c(-c3c[nH]c4ncc(Cl)cc34)c2c1; [None]; [None]; [0]
+Cc1cc(-c2c[nH]c3ncc(Cl)cc23)cc(C)c1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O']; ['Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Cc1cc(Br)cc(C)c1O', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Br)c2c1']; [0.9999504089355469, 0.9999165534973145, 0.9994123578071594, 0.9550446271896362, 0.9533585906028748]
+CN(c1cccc2[nH]ncc12)c1c[nH]c2ncc(Cl)cc12; [None]; [None]; [0]
+CSc1cccc(-c2c[nH]c3ncc(Cl)cc23)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'CSc1cccc(Br)c1', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; [0.9999963641166687, 0.999961256980896, 0.9953763484954834, 0.9899132251739502]
+Oc1c(F)cc(-c2c[nH]c3ncc(Cl)cc23)cc1F; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1']; ['Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Oc1c(F)cc(Br)cc1F', 'Clc1cnc2[nH]cc(Cl)c2c1', 'Oc1c(F)cc(I)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1']; [0.9999969005584717, 0.9999871253967285, 0.9999840259552002, 0.999972403049469, 0.9999548196792603, 0.998578667640686, 0.9958393573760986]
+O=c1[nH][nH]c2cc(-c3c[nH]c4ncc(Cl)cc34)ccc12; [None]; [None]; [0]
+Fc1ccc(Oc2c[nH]c3ncc(Cl)cc23)c(F)c1; ['Clc1cnc2[nH]cc(Br)c2c1']; ['Oc1ccc(F)cc1F']; [0.9999419450759888]
+Fc1cccc(Cl)c1CNc1c[nH]c2ncc(Cl)cc12; ['Clc1cnc2[nH]cc(Br)c2c1', 'Nc1c[nH]c2ncc(Cl)cc12', 'Fc1cccc(Cl)c1CCl']; ['NCc1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl', 'Nc1c[nH]c2ncc(Cl)cc12']; [0.9999994039535522, 0.9999980926513672, 0.9999074935913086]
+Cc1onc(-c2ccccc2)c1-c1c[nH]c2ncc(Cl)cc12; ['CC1(C)OB(c2c[nH]c3ncc(Cl)cc23)OC1(C)C', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O']; ['Cc1onc(-c2ccccc2)c1I', 'Clc1cnc2[nH]cc(Br)c2c1', 'Clc1cnc2[nH]cc(I)c2c1', 'Clc1cnc2[nH]cc(Cl)c2c1']; [0.9999992847442627, 0.9999967217445374, 0.9999952912330627, 0.9999282360076904]
+Clc1cnc2[nH]cc(OCc3cccc4ccccc34)c2c1; ['Clc1cnc2[nH]cc(Br)c2c1']; ['OCc1cccc2ccccc12']; [0.7937412858009338]
+Clc1ccc(-c2[nH]ncc2-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
+Fc1ccc(COc2c[nH]c3ncc(Cl)cc23)c(F)c1; [None]; [None]; [0]
+Oc1cccc(-c2cc3ccncc3o2)c1; ['Oc1cccc(I)c1']; ['c1cc2ccoc2cn1']; [0.9932980537414551]
+Clc1cnc2[nH]cc(CCc3c[nH]c4ccccc34)c2c1; [None]; [None]; [0]
+c1cc(-c2cc3ccncc3o2)c2cccnc2c1; ['Nc1cccc2ncccc12', 'Ic1cccc2ncccc12', 'Brc1cccc2ncccc12', 'C#Cc1cccc2ncccc12']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'Oc1cnccc1I']; [0.9990900158882141, 0.9989824295043945, 0.998619556427002, 0.973558783531189]
+Oc1cc(-c2cc3ccncc3o2)ccc1Cl; ['Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9820374250411987, 0.9659525156021118]
 CNS(=O)(=O)c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
-Cn1c(-c2cc3ccncc3o2)nc2ccccc21; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cc2ccncc2o1; [None]; [None]; [0]
-Fc1ccc(Oc2cc3ccncc3o2)cc1; [None]; [None]; [0]
+Fc1ccc(-c2ncoc2-c2c[nH]c3ncc(Cl)cc23)cc1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1cc3ccncc3o1)OCO2; [None]; [None]; [0]
+Fc1ccc(CCc2c[nH]c3ncc(Cl)cc23)c(F)c1; [None]; [None]; [0]
+Fc1ccc(Oc2cc3ccncc3o2)cc1; ['Oc1ccc(F)cc1']; ['c1cc2ccoc2cn1']; [0.7509346604347229]
 NC(=O)c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1cc2ccncc2o1; ['C#Cc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'Nc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1', 'O=S(=O)(Cl)c1c(Cl)cccc1Cl']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9997713565826416, 0.9988947510719299, 0.9986520409584045, 0.9980415105819702, 0.9810433387756348, 0.8581806421279907, 0.8474056720733643]
+c1ccc2c(-c3cc4ccncc4o3)n[nH]c2c1; [None]; [None]; [0]
+Oc1ccc(-c2cc3ccncc3o2)c(Cl)c1; ['Oc1ccc(I)c(Cl)c1', 'Oc1ccc(Br)c(Cl)c1', 'Nc1ccc(O)cc1Cl', 'Oc1cccc(Cl)c1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9924274682998657, 0.9916942119598389, 0.9441125988960266, 0.8282334804534912]
+COc1ccc(F)cc1-c1cc2ccncc2o1; ['COc1ccc(F)cc1Br', 'C#Cc1cc(F)ccc1OC', 'COc1ccc(F)cc1N']; ['c1cc2ccoc2cn1', 'Oc1cnccc1I', 'c1cc2ccoc2cn1']; [0.999979555606842, 0.9999760985374451, 0.9997931122779846]
+COc1cc(C(N)=O)ccc1-c1cc2ccncc2o1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cc3ccncc3o2)c(F)c1; [None]; [None]; [0]
-Oc1ccc(-c2cc3ccncc3o2)c(Cl)c1; [None]; [None]; [0]
+Oc1ccc(-c2cc3ccncc3o2)c(F)c1; ['Oc1ccc(I)c(F)c1']; ['c1cc2ccoc2cn1']; [0.9916276335716248]
+COc1cc(F)ccc1-c1cc2ccncc2o1; ['COc1cc(F)ccc1Br', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1N']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9999093413352966, 0.9998328685760498, 0.998076319694519]
 Nc1nccc(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cc4ccncc4o3)cc2[nH]1; [None]; [None]; [0]
 Clc1[nH]ncc1-c1cc2ccncc2o1; [None]; [None]; [0]
+Brc1cccc(-c2cc3ccncc3o2)c1; ['C#Cc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Nc1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9998967051506042, 0.9917150735855103, 0.9890450835227966, 0.971739649772644]
 Oc1ccc(-c2ccc(-c3cc4ccncc4o3)cc2)c(O)c1; [None]; [None]; [0]
 COc1cc(-c2cc3ccncc3o2)ccc1O; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2cc3ccncc3o2)o1; [None]; [None]; [0]
 COc1cc(CCc2cc3ccncc3o2)ccc1O; [None]; [None]; [0]
-Clc1cccc(OCc2cc3ccncc3o2)c1; [None]; [None]; [0]
-Brc1cccc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2cc3ccncc3o2)cc1F; [None]; [None]; [0]
+c1ccc2cc(-c3cc4ccncc4o3)ccc2c1; ['C#Cc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9999257326126099, 0.9981014132499695, 0.9974454045295715, 0.9946002960205078]
 Oc1ccc(-c2cc3ccncc3o2)c(O)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
-c1cnn2ncc(-c3cc4ccncc4o3)c2c1; [None]; [None]; [0]
+c1cnn2ncc(-c3cc4ccncc4o3)c2c1; ['Brc1cnn2ncccc12']; ['c1cc2ccoc2cn1']; [0.9905445575714111]
+COC(=O)c1ccc(Cl)c(-c2cc3ccncc3o2)c1; ['COC(=O)c1ccc(Cl)c(N)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9993981122970581, 0.9967547655105591, 0.9948982000350952]
+Cn1cc(-c2cc3ccncc3o2)c2ccccc21; [None]; [None]; [0]
+c1cc2c(-c3cc4ccncc4o3)c[nH]c2cn1; [None]; [None]; [0]
+Fc1ccc(-c2cc3ccncc3o2)cc1Cl; ['C#Cc1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'Nc1ccc(F)c(Cl)c1', 'Fc1ccc(I)cc1Cl']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9999743103981018, 0.9994164705276489, 0.9992547035217285, 0.9988045692443848]
 Clc1ccccc1OCc1cc2ccncc2o1; [None]; [None]; [0]
-Fc1ccc(-c2cc3ccncc3o2)cc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cc2ccncc2o1; [None]; [None]; [0]
-Clc1ccc(CCc2cc3ccncc3o2)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cc2ccncc2o1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cc2ccncc2o1; [None]; [None]; [0]
+Nc1cc(-c2cc3ccncc3o2)ccn1; ['Nc1ccnc(N)c1']; ['c1cc2ccoc2cn1']; [0.9836423397064209]
 Oc1ccc(Cl)c(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cc3ccncc3o1)OCO2; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cc2ccncc2o1; [None]; [None]; [0]
-Oc1ncc(-c2cc3ccncc3o2)cc1Cl; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cc2ccncc2o1; [None]; [None]; [0]
+Oc1ncc(-c2cc3ccncc3o2)cc1Cl; ['Oc1ncc(Br)cc1Cl']; ['c1cc2ccoc2cn1']; [0.9153121709823608]
 NC(=O)c1cc(-c2cc3ccncc3o2)c[nH]1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cc2ccncc2o1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cc4ccncc4o3)cc2[nH]1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
 COc1cc(OC)cc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
+c1cc2cc(-c3cnc4[nH]ccc4c3)oc2cn1; [None]; [None]; [0]
 COc1ccc(-c2cc3ccncc3o2)cc1OC; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3cc4ccncc4o3)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc4ccncc4o3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2cc3ccncc3o2)c1; ['CCOc1cccc(I)c1', 'CCOc1cccc(N)c1', 'CCOc1cccc(Br)c1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9972721338272095, 0.9968013763427734, 0.9956321716308594]
+COc1cc(CCc2cc3ccncc3o2)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1']; ['c1cc2ccoc2cn1']; [0.857025146484375]
+CS(=O)(=O)c1ccc(-c2cc3ccncc3o2)cc1; ['C#Cc1ccc(S(C)(=O)=O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(N)cc1']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9999676942825317, 0.9981777667999268, 0.9831039905548096, 0.9570475816726685]
 NC(=O)Nc1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
-c1cc2cc(-c3cnc4[nH]ccc4c3)oc2cn1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
-c1ccc2sc(-c3cc4ccncc4o3)nc2c1; [None]; [None]; [0]
+c1ccc2sc(-c3cc4ccncc4o3)nc2c1; ['Nc1ccccc1S']; ['O=Cc1cc2ccncc2o1']; [0.999864399433136]
 Oc1cncc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cc2ccncc2o1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cc2ccncc2o1; ['CCc1cc(O)ccc1Br']; ['c1cc2ccoc2cn1']; [0.9880019426345825]
 O=C1Cc2cc(-c3cc4ccncc4o3)ccc2N1; [None]; [None]; [0]
 C[C@H](CC(N)=O)c1cc2ccncc2o1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cc2ccncc2o1; [None]; [None]; [0]
 CNc1nccc(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cc2ccncc2o1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cc2ccncc2o1; [None]; [None]; [0]
+Clc1cnccc1-c1cc2ccncc2o1; ['C#Cc1ccncc1Cl', 'Clc1cnccc1I', 'Nc1ccncc1Cl', 'Clc1cnccc1Br']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.998261034488678, 0.9769314527511597, 0.9718930721282959, 0.9279178380966187]
 Cc1n[nH]c2cc(N(C)c3cc4ccncc4o3)ccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cc2ccncc2o1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cc2ccncc2o1; [None]; [None]; [0]
-CCc1sccc1-c1cc2ccncc2o1; [None]; [None]; [0]
+Cc1n[nH]c(-c2cc3ccncc3o2)c1C; [None]; [None]; [0]
+FC(F)c1cc(-c2cc3ccncc3o2)[nH]n1; [None]; [None]; [0]
 Oc1c(Cl)cc(-c2cc3ccncc3o2)cc1Cl; [None]; [None]; [0]
+CNc1nc(-c2cc3ccncc3o2)ncc1F; [None]; [None]; [0]
+CCc1sccc1-c1cc2ccncc2o1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1cc2ccncc2o1; [None]; [None]; [0]
 c1cc2cc(-c3ccc4c(c3)CCN4)oc2cn1; [None]; [None]; [0]
-Oc1cc(-c2cc3ccncc3o2)nc2ccnn12; [None]; [None]; [0]
 Cc1oc(-c2cc3ccncc3o2)cc1C(=O)[O-]; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3ccncc3o2)cc1; ['CNC(=O)c1ccc(I)cc1']; ['c1cc2ccoc2cn1']; [0.9869919419288635]
 O=c1[nH]c2ccc(-c3cc4ccncc4o3)cc2[nH]1; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1cc2ccncc2o1; ['C#Cc1ccc(Br)cc1F', 'Nc1ccc(Br)cc1F', 'Fc1cc(Br)ccc1I']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9999765157699585, 0.9986035227775574, 0.995898962020874]
 Cn1ncc(N)c1-c1cc2ccncc2o1; [None]; [None]; [0]
-c1cc(Nc2cc3ccncc3o2)ccn1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cc2ccncc2o1; [None]; [None]; [0]
+Oc1cc(-c2cc3ccncc3o2)nc2ccnn12; [None]; [None]; [0]
 Fc1ccc2n[nH]c(-c3cc4ccncc4o3)c2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cc3ccncc3o2)c1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
-CN(c1cc2ccncc2o1)c1cccc2[nH]ncc12; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2cc3ccncc3o2)c1; ['Oc1cc(Br)cc(I)c1']; ['c1cc2ccoc2cn1']; [0.8070722818374634]
 Cc1cc(-c2cc3ccncc3o2)ccc1C(N)=O; [None]; [None]; [0]
-Oc1c(F)cc(-c2cc3ccncc3o2)cc1F; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc4ccncc4o3)cc2o1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2cc3ccncc3o2)cc1; ['O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9995219707489014, 0.9979454278945923]
+c1cc(Nc2cc3ccncc3o2)ccn1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cc4ccncc4o3)cc2o1; ['Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(N)cc2o1', 'Cc1nc2ccc(Cl)cc2o1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9975606203079224, 0.9895174503326416, 0.8069713711738586]
+Oc1c(F)cc(-c2cc3ccncc3o2)cc1F; ['Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(I)cc1F']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9280121922492981, 0.8888545036315918]
+Cc1cc(-c2cc3ccncc3o2)cc(C)c1O; ['Cc1cc(N)cc(C)c1O']; ['c1cc2ccoc2cn1']; [0.9113614559173584]
+CSc1cccc(-c2cc3ccncc3o2)c1; ['CSc1cccc(N)c1']; ['c1cc2ccoc2cn1']; [0.9987636804580688]
+CN(c1cc2ccncc2o1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1cc2ccncc2o1; ['Cc1onc(-c2ccccc2)c1N', 'Cc1onc(-c2ccccc2)c1I']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9996219873428345, 0.9995036721229553]
 O=c1[nH][nH]c2cc(-c3cc4ccncc4o3)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
-CSc1cccc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
-c1ccc(COc2cc3ccncc3o2)cc1; [None]; [None]; [0]
 c1ccc2c(CCc3cc4ccncc4o3)c[nH]c2c1; [None]; [None]; [0]
+Fc1ccc(Oc2cc3ccncc3o2)c(F)c1; [None]; [None]; [0]
 c1ccc2c(COc3cc4ccncc4o3)cccc2c1; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2cc3ccncc3o2)c(F)c1; [None]; [None]; [0]
-Fc1ccccc1Oc1cc2ccncc2o1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cc2ccncc2o1; [None]; [None]; [0]
-Fc1ccc(-c2cc3ccncc3o2)c(Cl)c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
 Fc1ccc(COc2cc3ccncc3o2)c(F)c1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1cc2ccncc2o1; [None]; [None]; [0]
 Fc1ccc(CCc2cc3ccncc3o2)c(F)c1; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1cc2ccncc2o1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc2ccncc2o1; [None]; [None]; [0]
+CCOc1ccccc1-c1cc2ccncc2o1; ['CCOc1ccccc1Br', 'CCOc1ccccc1N']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9983574151992798, 0.9972043037414551]
+Fc1cccc(Cl)c1CNc1cc2ccncc2o1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc2ccncc2o1; ['CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.995825469493866, 0.9920565485954285]
+CP(C)(=O)c1ccccc1-c1cc2ccncc2o1; ['CP(C)(=O)c1ccccc1N']; ['c1cc2ccoc2cn1']; [0.9892823696136475]
 COC(C)(C)CCc1cc2ccncc2o1; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cc3ccncc3o2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc2ccncc2o1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cc3ccncc3o2)c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc2ccncc2o1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc2ccncc2o1; [None]; [None]; [0]
-c1ccc2c(-c3cc4ccncc4o3)ccnc2c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
-Brc1ccccc1-c1cc2ccncc2o1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1cc2ccncc2o1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1cc2ccncc2o1; ['C#Cc1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'Nc1ccccc1OC(F)(F)F']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9999139308929443, 0.9998574256896973, 0.99950110912323, 0.99944007396698]
+CCn1cc(-c2cc3ccncc3o2)cn1; ['CCn1cc(Br)cn1']; ['c1cc2ccoc2cn1']; [0.8145719766616821]
+FC(F)(F)c1cccc(-c2cc3ccncc3o2)c1; ['C#Cc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9999521970748901, 0.9997464418411255, 0.9997216463088989, 0.999525249004364]
+c1ccc2c(-c3cc4ccncc4o3)ccnc2c1; ['Brc1ccnc2ccccc12', 'Nc1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Ic1ccnc2ccccc12', 'C#Cc1ccnc2ccccc12']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'Oc1cnccc1I']; [0.9620441198348999, 0.9224314093589783, 0.9080532789230347, 0.8632349967956543, 0.8435304164886475]
+NC(=O)c1ccccc1-c1cc2ccncc2o1; ['NC(=O)c1ccccc1N']; ['c1cc2ccoc2cn1']; [0.8294664621353149]
+Fc1cc(F)cc(Cc2cc3ccncc3o2)c1; ['C#Cc1cc(F)cc(F)c1', 'Fc1cc(F)cc(CBr)c1']; ['O=Cc1ccncc1O', 'c1cc2ccoc2cn1']; [0.9953048229217529, 0.9564905762672424]
+Cn1cnc2ccc(-c3cc4ccncc4o3)cc2c1=O; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cc4ccncc4o3)cn2)cc1; ['Brc1cnn(Cc2ccccc2)c1']; ['c1cc2ccoc2cn1']; [0.990334153175354]
 O=C([O-])c1ccccc1-c1cc2ccncc2o1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cc2ccncc2o1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cc4ccncc4o3)cn2)cc1; [None]; [None]; [0]
 c1ccc(-c2ncc(-c3cc4ccncc4o3)[nH]2)cc1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1cc2ccncc2o1; [None]; [None]; [0]
 OCCn1cc(-c2cc3ccncc3o2)cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc3ccncc3o2)cs1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3ccncc3o2)c1)c1ccccc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2cc3ccncc3o2)c1; ['Clc1ccc(Cl)c(I)c1', 'Nc1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Br)c1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.999634861946106, 0.9993976354598999, 0.9990967512130737]
 O=c1c2c(F)cccc2cnn1-c1cc2ccncc2o1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc3ccncc3o2)c1)c1ccccc1; [None]; [None]; [0]
+Cc1ccc(-c2cc3ccncc3o2)c(Br)c1; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(Br)c(Br)c1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9998670816421509, 0.999495804309845, 0.9824638366699219]
+CC(C)(C)c1nc(-c2cc3ccncc3o2)cs1; [None]; [None]; [0]
 COc1cnc(-c2cc3ccncc3o2)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1cc2ccncc2o1; [None]; [None]; [0]
-Cc1ccc(-c2cc3ccncc3o2)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1cc2ccncc2o1; [None]; [None]; [0]
 c1ccn2c(-c3cc4ccncc4o3)cnc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc3ccncc3o2)s1; [None]; [None]; [0]
+CC(C)C(=O)COc1cc2ccncc2o1; [None]; [None]; [0]
 CNc1nc(C)c(-c2cc3ccncc3o2)s1; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cc2ccncc2o1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc3ccncc3o2)c1; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(N)c1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9970036745071411, 0.9960813522338867]
 c1cnn2c(-c3cc4ccncc4o3)cnc2c1; [None]; [None]; [0]
+c1cncc(Nc2cc3ccncc3o2)c1; [None]; [None]; [0]
+O=C(Nc1cc2ccncc2o1)c1cccs1; [None]; [None]; [0]
 c1cc(Cn2cncn2)cc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc3ccncc3o2)s1; [None]; [None]; [0]
 c1cncc(CNc2cc3ccncc3o2)c1; [None]; [None]; [0]
 Cc1c(-c2cc3ccncc3o2)sc(=O)n1C; [None]; [None]; [0]
-COc1cccc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
-c1ccc2cc(-c3cc4ccncc4o3)ccc2c1; [None]; [None]; [0]
-c1cncc(Nc2cc3ccncc3o2)c1; [None]; [None]; [0]
 c1ccc2c(c1)ncn2-c1cc2ccncc2o1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc3ccncc3o2)o1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1cc2ccncc2o1; ['FC(F)(F)c1n[nH]cc1Br']; ['c1cc2ccoc2cn1']; [0.9927784204483032]
+NC(=O)c1c(F)cccc1-c1cc2ccncc2o1; [None]; [None]; [0]
+c1ccc2c(-c3cc4ccncc4o3)cncc2c1; ['Ic1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Nc1cncc2ccccc12']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9942119121551514, 0.9925007820129395, 0.9881761074066162]
 c1cc2cc(NCCc3c[nH]cn3)oc2cn1; [None]; [None]; [0]
-O=C(Nc1cc2ccncc2o1)c1cccs1; [None]; [None]; [0]
 O=C([O-])Cc1cccc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
-c1ccc2c(-c3cc4ccncc4o3)cncc2c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc4ccncc4o3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(Cl)ccc21']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.999997079372406, 0.998814582824707, 0.9984585046768188, 0.9951299428939819, 0.8684187531471252]
 c1ccc(CCNc2cc3ccncc3o2)cc1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cc4ccncc4o3)cc2)cn1; [None]; [None]; [0]
 Nc1[nH]nc2cc(-c3cc4ccncc4o3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cc4ccncc4o3)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4ccncc4o3)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
-Oc1cccc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
+CC(C)n1cc(-c2cc3ccncc3o2)nn1; ['CC(C)n1ccnn1']; ['c1cc2ccoc2cn1']; [0.9997971057891846]
 OCc1cccc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
+c1cc2cc(-c3ccc(-c4cn[nH]c4)cc3)oc2cn1; [None]; [None]; [0]
+Clc1ccc(CNc2cc3ccncc3o2)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
+c1cc2cc(-c3csc4ncncc34)oc2cn1; ['Brc1csc2ncncc12']; ['c1cc2ccoc2cn1']; [0.8653385639190674]
+c1cc2cc(CCc3c[nH]nn3)oc2cn1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cc4ccncc4o3)cc2c1; ['Clc1cc2ccccc2[nH]1']; ['c1cc2ccoc2cn1']; [0.9488289952278137]
 COc1cc(-c2cc3ccncc3o2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cc3ccncc3o2)nn1; [None]; [None]; [0]
+Nc1nc(-c2cc3ccncc3o2)cs1; [None]; [None]; [0]
 CSc1nc(-c2cc3ccncc3o2)c[nH]1; [None]; [None]; [0]
-c1cc2cc(CCc3c[nH]nn3)oc2cn1; [None]; [None]; [0]
+Fc1ccccc1CNc1cc2ccncc2o1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc3ccncc3o2)c1; ['N#CCCc1cccc(Br)c1']; ['c1cc2ccoc2cn1']; [0.9984285831451416]
 CC(C)c1oncc1-c1cc2ccncc2o1; [None]; [None]; [0]
-c1cc2cc(-c3csc4ncncc34)oc2cn1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc4ccncc4o3)cc2s1; [None]; [None]; [0]
+Nc1ncncc1-c1cc2ccncc2o1; [None]; [None]; [0]
+Fc1ccc(-c2cc3ccncc3o2)c(C(F)(F)F)c1; ['Nc1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9995172619819641, 0.9994589686393738, 0.9949346780776978]
+CC(=O)Nc1cccc(-c2cc3ccncc3o2)c1; ['C#Cc1cccc(NC(C)=O)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9999418258666992, 0.9992773532867432, 0.996884822845459]
 CCC(=O)Nc1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2cc3ccncc3o2)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1cc2ccncc2o1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cc4ccncc4o3)cc2s1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cc2ccncc2o1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
+c1ccc(Oc2cc3ccncc3o2)nc1; [None]; [None]; [0]
 O=C(Nc1cc2ccncc2o1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-Cn1cc(-c2cc3ccncc3o2)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cc3ccncc3o2)CC1; [None]; [None]; [0]
-CC(C)(COc1cc2ccncc2o1)S(C)(=O)=O; [None]; [None]; [0]
+c1ccn2ncc(-c3cc4ccncc4o3)c2c1; ['Ic1cnn2ccccc12', 'Nc1cnn2ccccc12', 'Brc1cnn2ccccc12']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.99985271692276, 0.9997879862785339, 0.9975457191467285]
 COc1ccc(-c2cc3ccncc3o2)cc1Cl; [None]; [None]; [0]
-c1ccn2ncc(-c3cc4ccncc4o3)c2c1; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2cc3ccncc3o2)cc1C(F)(F)F; [None]; [None]; [0]
-CCCn1cc(-c2cc3ccncc3o2)cn1; [None]; [None]; [0]
+CC(C)(COc1cc2ccncc2o1)S(C)(=O)=O; [None]; [None]; [0]
+CCCn1cc(-c2cc3ccncc3o2)cn1; ['CCCn1cc(Br)cn1']; ['c1cc2ccoc2cn1']; [0.9972301721572876]
 O=c1cc(-c2cc3ccncc3o2)cc[nH]1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cc4ccncc4o3)c21; [None]; [None]; [0]
-COc1cc(CCc2cc3ccncc3o2)cc(OC)c1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cc3ccncc3o2)CC1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cc4ccncc4o3)c21; ['O=C1CCc2cccc(Br)c21']; ['c1cc2ccoc2cn1']; [0.9875415563583374]
+CCNS(=O)(=O)c1ccccc1-c1cc2ccncc2o1; ['CCNS(=O)(=O)c1ccccc1']; ['c1cc2ccoc2cn1']; [0.9292480945587158]
+C[S@](=O)c1ccc(-c2cc3ccncc3o2)cc1; ['CS(=O)c1ccc(Br)cc1']; ['c1cc2ccoc2cn1']; [0.8474876880645752]
 CC(C)(N)c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2cc3ccncc3o2)cc1C(F)(F)F; [None]; [None]; [0]
 C[C@@H](Oc1cc2ccncc2o1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
-CCN(CC)c1cc2ccncc2o1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3ccncc3o2)cc1; ['C#Cc1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(N)cc1']; ['Oc1cnccc1I', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9998447895050049, 0.9950690269470215, 0.9938784837722778, 0.967753529548645]
+CC(C)Oc1cncc(-c2cc3ccncc3o2)c1; ['CC(C)Oc1cncc(Br)c1']; ['c1cc2ccoc2cn1']; [0.9983909726142883]
 O=c1[nH]ccc2oc(-c3cc4ccncc4o3)cc12; [None]; [None]; [0]
-O=c1[nH]cc(Br)c2sc(-c3cc4ccncc4o3)cc12; [None]; [None]; [0]
-c1ccc2c(-c3cc4ccncc4o3)c[nH]c2c1; [None]; [None]; [0]
+CCN(CC)c1cc2ccncc2o1; [None]; [None]; [0]
 COc1ccncc1Nc1cc2ccncc2o1; [None]; [None]; [0]
 c1ccc(-c2ccncc2Nc2cc3ccncc3o2)cc1; [None]; [None]; [0]
-c1ccc2ncc(Nc3cc4ccncc4o3)cc2c1; [None]; [None]; [0]
-c1cc2c(-c3cc4ccncc4o3)c[nH]c2cn1; [None]; [None]; [0]
+O=c1[nH]cc(Br)c2sc(-c3cc4ccncc4o3)cc12; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cc2ccncc2o1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cc2ccncc2o1; [None]; [None]; [0]
-CC1(c2cc3ccncc3o2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CN(c1cc2ccncc2o1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc2ccncc2o1; ['COc1cccc(F)c1I', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1N']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9997864365577698, 0.9996346235275269, 0.9991543292999268]
+CN(c1cc2ccncc2o1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC1(c2cc3ccncc3o2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+c1ccc2ncc(Nc3cc4ccncc4o3)cc2c1; [None]; [None]; [0]
 c1cc2cc(-c3ccc(N4CCOCC4)cc3)oc2cn1; [None]; [None]; [0]
-Cc1cc(-c2cc3ccncc3o2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cc2ccncc2o1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-OCc1ccn(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
 OCCc1cn(-c2cc3ccncc3o2)cn1; [None]; [None]; [0]
+OCc1ccn(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
+Cc1cc(-c2cc3ccncc3o2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cc2ccncc2o1; ['Fc1cccc(Cl)c1I', 'O=S(=O)(Cl)c1c(F)cccc1Cl']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9999924898147583, 0.9906346797943115]
 C[C@H](Nc1cc2ccncc2o1)C(C)(C)O; [None]; [None]; [0]
 C[C@@H](Nc1cc2ccncc2o1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc2ccncc2o1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1cc2ccncc2o1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cc2ccncc2o1; [None]; [None]; [0]
-Oc1ncccc1-c1cc2ccncc2o1; [None]; [None]; [0]
 c1cc2cc(-c3ccc(-n4cncn4)cc3)oc2cn1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1cc2ccncc2o1; [None]; [None]; [0]
 Oc1ccc2nc(-c3cc4ccncc4o3)[nH]c2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc3ccncc3o2)[nH]1; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1cc2ccncc2o1; [None]; [None]; [0]
 COc1ccc(-c2cc3ccncc3o2)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cc3ccncc3o2)cc1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc3ccncc3o2)[nH]1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cc3ccncc3o2)cc1; ['O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9850338697433472, 0.9814081192016602, 0.8168011903762817]
+CC(=O)N[C@@H]1CC[C@@H](c2cc3ccncc3o2)CC1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cc2ccncc2o1; [None]; [None]; [0]
+O=S(=O)(Cc1cc2ccncc2o1)NCc1ccccn1; [None]; [None]; [0]
 c1cc2cc(-c3nncn3C3CC3)oc2cn1; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4cc5ccncc5o4)n3n2)cc1; [None]; [None]; [0]
 O=C(CCc1cc2ccncc2o1)NCc1ccccn1; [None]; [None]; [0]
-O=S(=O)(Cc1cc2ccncc2o1)NCc1ccccn1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
 c1ccc(Cn2cc(-c3cc4ccncc4o3)nn2)cc1; [None]; [None]; [0]
 CCc1cc(-c2cc3ccncc3o2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2cc3ccncc3o2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cc3ccncc3o2)s1; [None]; [None]; [0]
 Nc1nnc(-c2cc3ccncc3o2)s1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1cc2ccncc2o1; [None]; [None]; [0]
+CCCCc1cc(-c2cc3ccncc3o2)nc(N)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc3ccncc3o2)s1; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2cc3ccncc3o2)c(F)c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2ccncc2o1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1cc2ccncc2o1; [None]; [None]; [0]
+c1cc(-c2cc3ccncc3o2)c2sccc2c1; ['Brc1cccc2ccsc12']; ['c1cc2ccoc2cn1']; [0.9319136738777161]
+CC(C)(O)c1cccc(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
+c1cc(-c2cc3ccncc3o2)c2snnc2c1; ['Nc1cccc2nnsc12', 'Brc1cccc2nnsc12']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.994085431098938, 0.973495364189148]
 CC1(C)Oc2ccc(-c3cc4ccncc4o3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4ccncc4o3)c2)cc1; [None]; [None]; [0]
-c1cc(-c2cc3ccncc3o2)c2snnc2c1; [None]; [None]; [0]
-c1cc(-c2cc3ccncc3o2)c2sccc2c1; [None]; [None]; [0]
+Nc1cncc(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc3ccncc3o2)CC1; [None]; [None]; [0]
+[NH3+]Cc1ccc(Oc2cc3ccncc3o2)c(F)c1; [None]; [None]; [0]
+c1cnc2c(-c3cc4ccncc4o3)c[nH]c2c1; ['Brc1c[nH]c2cccnc12']; ['c1cc2ccoc2cn1']; [0.8449984788894653]
 CC(=O)Nc1ncc(-c2cc3ccncc3o2)[nH]1; [None]; [None]; [0]
 Nc1nc(-c2cc3ccncc3o2)nc2ccccc12; [None]; [None]; [0]
-c1ccc2nc(-c3cc4ccncc4o3)ncc2c1; [None]; [None]; [0]
-c1cnc2c(-c3cc4ccncc4o3)c[nH]c2c1; [None]; [None]; [0]
 c1cc2cc(-c3ncc4cc[nH]c4n3)oc2cn1; [None]; [None]; [0]
+c1ccc2nc(-c3cc4ccncc4o3)ncc2c1; [None]; [None]; [0]
+OCCn1cnc(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cc2ccncc2o1; ['COc1ncccc1Br', 'COc1ncccc1N']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9977931976318359, 0.9960142374038696]
 COc1ccc(C#N)cc1-c1cc2ccncc2o1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc2ccncc2o1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc3ccncc3o2)c1; ['CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9991748332977295, 0.9975073337554932]
+COc1ccc(OC)c(-c2cc3ccncc3o2)c1; ['COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)cc1']; ['c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1', 'c1cc2ccoc2cn1']; [0.9999765157699585, 0.99992835521698, 0.9996014833450317, 0.955070972442627]
+Oc1cccc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1']; [0.9999905228614807, 0.9997328519821167]
+O=C(Nc1cccc(-c2cc3ccncc3o2)c1)C1CCNCC1; [None]; [None]; [0]
 COc1ccc(Oc2cc3ccncc3o2)c(F)c1F; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cc3ccncc3o2)CC1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc3ccncc3o2)n1; [None]; [None]; [0]
 CN(C)c1cc(-c2cc3ccncc3o2)cnn1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc3ccncc3o2)c1; [None]; [None]; [0]
+c1cc(-c2cc3ccncc3s2)c2cccnc2c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cccc2ncccc12', 'Ic1cccc2ncccc12', 'Clc1cccc2ncccc12']; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'OB(O)c1cccc2ncccc12', 'Brc1cccc2ncccc12', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999996423721313, 0.9999927878379822, 0.9998975396156311, 0.9996251463890076, 0.998294472694397, 0.9980931282043457]
+C[C@@]1(O)CC[C@H](c2cc3ccncc3o2)CC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9999990463256836, 0.9999862909317017]
 c1ccc2[nH]c(C3CCN(c4cc5ccncc5o4)CC3)nc2c1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cc3ccncc3o2)C1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3ccncc3o2)c1)C1CCNCC1; [None]; [None]; [0]
-Oc1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-c1cc(-c2cc3ccncc3s2)c2cccnc2c1; [None]; [None]; [0]
-CCc1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
 Oc1cc(-c2cc3ccncc3s2)ccc1Cl; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2cc3ccncc3o2)C1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.9999997615814209, 0.9999855160713196, 0.9996640682220459]
 c1ccc2c(-c3cc4ccncc4s3)n[nH]c2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-Cn1c(-c2cc3ccncc3s2)nc2ccccc21; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cc2ccncc2s1; [None]; [None]; [0]
-Fc1ccc(Oc2cc3ccncc3s2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3ccncc3s2)c(F)c1; [None]; [None]; [0]
-Oc1ccc(-c2cc3ccncc3s2)c(Cl)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc3ccncc3s2)c(F)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; [0.999998927116394, 0.9999825954437256, 0.9994838237762451]
+COc1cc(C(N)=O)ccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; [0.9999992251396179, 0.999657392501831]
+Clc1cccc(Cl)c1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Clc1cccc(Cl)c1Br', 'Brc1cc2ccncc2s1', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; ['OB(O)c1c(Cl)cccc1Cl', 'c1cc2ccsc2cn1', 'Clc1cccc(Cl)c1Br', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9998809099197388, 0.998955488204956, 0.9982890486717224, 0.9977025389671326, 0.9504504203796387, 0.9274068474769592]
+Clc1ccc2c(c1-c1cc3ccncc3s1)OCO2; [None]; [None]; [0]
+Oc1ccc(-c2cc3ccncc3s2)c(Cl)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'OB(O)c1ccc(O)cc1Cl']; [0.9999970197677612, 0.9998461008071899]
+Oc1ccc(-c2cc3ccncc3s2)c(F)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'OB(O)c1ccc(O)cc1F']; [0.9999848008155823, 0.9998602867126465]
 Nc1nccc(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
+COc1cc(-c2cc3ccncc3s2)ccc1O; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; [0.999981164932251, 0.9973921775817871]
+O=C([O-])c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
 Clc1[nH]ncc1-c1cc2ccncc2s1; [None]; [None]; [0]
+Fc1ccc(Oc2cc3ccncc3s2)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cc3ccncc3s2)o1; ['Brc1cc2ccncc2s1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccco1']; ['COC(=O)c1ccc(B(O)O)o1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9996293783187866, 0.9822081327438354, 0.7620983719825745]
+COc1cc(F)ccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Cl']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999978542327881, 0.9999948143959045, 0.9997574090957642, 0.9996812343597412, 0.9994394779205322, 0.9974602460861206]
 Oc1ccc(-c2ccc(-c3cc4ccncc4s3)cc2)c(O)c1; [None]; [None]; [0]
-COc1cc(-c2cc3ccncc3s2)ccc1O; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cc3ccncc3s2)o1; [None]; [None]; [0]
-COc1cc(CCc2cc3ccncc3s2)ccc1O; [None]; [None]; [0]
-Clc1cccc(OCc2cc3ccncc3s2)c1; [None]; [None]; [0]
-Brc1cccc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cc2ccncc2s1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cc4ccncc4s3)cc2[nH]1; [None]; [None]; [0]
+c1ccc2cc(-c3cc4ccncc4s3)ccc2c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1ccc2ccccc2c1', 'Brc1cc2ccncc2s1', 'Ic1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'c1cc2ccsc2cn1', 'Brc1ccc2ccccc2c1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.999991774559021, 0.9999565482139587, 0.9988425970077515, 0.9982154369354248, 0.9970704317092896, 0.9632027745246887]
+Oc1ccc(-c2cc3ccncc3s2)cc1F; [None]; [None]; [0]
+Brc1cccc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'OB(O)c1cccc(Br)c1', 'Brc1cc2ccncc2s1', 'Brc1cccc(Br)c1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'c1cc2ccsc2cn1', 'OB(O)c1cccc(Br)c1', 'c1cc2ccsc2cn1', 'Brc1cccc(Br)c1']; [0.9998900890350342, 0.9995421171188354, 0.9993206262588501, 0.9745885729789734, 0.9493948221206665]
 Oc1ccc(-c2cc3ccncc3s2)c(O)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-c1cnn2ncc(-c3cc4ccncc4s3)c2c1; [None]; [None]; [0]
-Clc1ccccc1OCc1cc2ccncc2s1; [None]; [None]; [0]
-Fc1ccc(-c2cc3ccncc3s2)cc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cc2ccncc2s1; [None]; [None]; [0]
-Clc1ccc(CCc2cc3ccncc3s2)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cc2ccncc2s1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cc2ccncc2s1; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cc3ccncc3s1)OCO2; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cc2ccncc2s1; [None]; [None]; [0]
+Clc1ccccc1OCc1cc2ccncc2s1; ['Fc1ccccc1Cl', 'Clc1ccccc1Br', 'OCc1cc2ccncc2s1', 'Clc1ccccc1I', 'Clc1ccccc1Cl']; ['OCc1cc2ccncc2s1', 'OCc1cc2ccncc2s1', 'Oc1ccccc1Cl', 'OCc1cc2ccncc2s1', 'OCc1cc2ccncc2s1']; [0.9968216419219971, 0.9948841333389282, 0.9948736429214478, 0.9681342840194702, 0.9324429035186768]
+c1cc2c(-c3cc4ccncc4s3)c[nH]c2cn1; ['Brc1cc2ccncc2s1']; ['OB(O)c1c[nH]c2cnccc12']; [0.9849487543106079]
+Fc1ccc(-c2cc3ccncc3s2)cc1Cl; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'Brc1cc2ccncc2s1', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccccc1Cl']; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'OB(O)c1ccc(F)c(Cl)c1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'Fc1ccc(Br)cc1Cl', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [1.0, 0.9999996423721313, 0.9999942779541016, 0.9999882578849792, 0.9999686479568481, 0.9999630451202393, 0.970572829246521, 0.928283154964447]
+Nc1cc(-c2cc3ccncc3s2)ccn1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Nc1cc(Br)ccn1']; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(B(O)O)ccn1', 'c1cc2ccsc2cn1']; [0.9999937415122986, 0.9997748732566833, 0.9984090924263]
+COC(=O)c1ccc(Cl)c(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'Brc1cc2ccncc2s1', 'COC(=O)c1ccc(Cl)cc1']; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'COC(=O)c1ccc(Cl)cc1', 'c1cc2ccsc2cn1']; [0.9999992251396179, 0.9998951554298401, 0.9997586011886597, 0.9994887113571167, 0.9193626046180725, 0.9047479033470154, 0.7648097276687622]
+c1cnn2ncc(-c3cc4ccncc4s3)c2c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cnn2ncccc12']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12', 'c1cc2ccsc2cn1']; [0.9999990463256836, 0.9993168115615845, 0.9960646033287048]
+Cn1cc(-c2cc3ccncc3s2)c2ccccc21; [None]; [None]; [0]
+COc1cc(CCc2cc3ccncc3s2)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'OB(O)c1cc(O)ccc1Cl']; [0.9999783039093018, 0.999606728553772]
+Cc1ccc2[nH]ncc2c1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Cc1ccc2[nH]ncc2c1Br']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'c1cc2ccsc2cn1']; [0.9999978542327881, 0.9997859597206116, 0.991457998752594]
+Fc1ccc(-c2nc[nH]c2-c2cc3ccncc3s2)cc1; ['Fc1ccc(-c2c[nH]cn2)cc1']; ['c1cc2ccsc2cn1']; [0.99111008644104]
+Cc1ccc(CO)cc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Cc1ccc(CO)cc1Br']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'c1cc2ccsc2cn1']; [0.9999935030937195, 0.999155580997467, 0.9955965280532837]
 NC(=O)c1cc(-c2cc3ccncc3s2)c[nH]1; [None]; [None]; [0]
-Oc1ncc(-c2cc3ccncc3s2)cc1Cl; [None]; [None]; [0]
+Oc1ncc(-c2cc3ccncc3s2)cc1Cl; ['Brc1cc2ccncc2s1']; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C']; [0.9999957084655762]
+c1cc2cc(-c3cnc4[nH]ccc4c3)sc2cn1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'c1cc2ccsc2cn1']; [0.9999995827674866, 0.9999889135360718, 0.993855893611908]
+CS(=O)(=O)c1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'c1cc2ccsc2cn1']; [0.9999997019767761, 0.9999805688858032, 0.9850311279296875]
+NC(=O)Nc1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1']; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; [0.9999991655349731]
 COc1cc(OC)cc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
 COc1ccc(-c2cc3ccncc3s2)cc1OC; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cc4ccncc4s3)ccc12; [None]; [None]; [0]
+CCOc1cccc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CCOc1cccc(Br)c1']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'c1cc2ccsc2cn1']; [0.9999973773956299, 0.9999895095825195, 0.9993146657943726]
 Cc1nc2ccc(-c3cc4ccncc4s3)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-c1cc2cc(-c3cnc4[nH]ccc4c3)sc2cn1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-c1ccc2sc(-c3cc4ccncc4s3)nc2c1; [None]; [None]; [0]
-Oc1cncc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cc4ccncc4s3)ccc2N1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cc2ccncc2s1; [None]; [None]; [0]
-CNc1nccc(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cc2ccncc2s1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cc4ccncc4s3)ccc12; [None]; [None]; [0]
+O=C1Cc2cc(-c3cc4ccncc4s3)ccc2N1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(I)ccc2N1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999383687973022, 0.9999066591262817, 0.9993245005607605, 0.9921865463256836]
 CCc1cc(O)c(F)cc1-c1cc2ccncc2s1; [None]; [None]; [0]
-Cc1n[nH]c2cc(N(C)c3cc4ccncc4s3)ccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cc2ccncc2s1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1']; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; [0.9999889135360718]
+Oc1cncc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Oc1cncc(Br)c1']; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'OB(O)c1cncc(O)c1', 'c1cc2ccsc2cn1']; [0.9999737739562988, 0.996163010597229, 0.9343030452728271]
+CNc1nccc(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
+COc1cc(CCc2cc3ccncc3s2)cc(OC)c1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O']; [0.9999891519546509, 0.9998106360435486]
+c1ccc2sc(-c3cc4ccncc4s3)nc2c1; ['Nc1ccccc1S', 'c1cc2ccsc2cn1']; ['O=Cc1cc2ccncc2s1', 'c1ccc2scnc2c1']; [0.9998655915260315, 0.9912444353103638]
+Cc1n[nH]c(-c2cc3ccncc3s2)c1C; [None]; [None]; [0]
+FC(F)c1cc(-c2cc3ccncc3s2)[nH]n1; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2cc3ccncc3s2)cc1Cl; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9999974966049194, 0.9998972415924072]
+C[C@H](CC(N)=O)c1cc2ccncc2s1; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1cc2ccncc2s1; [None]; [None]; [0]
+Clc1cnccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Clc1cnccc1Br', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'c1cc2ccsc2cn1', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1Br', 'Clc1cccnc1']; [0.9999939799308777, 0.9989759922027588, 0.9984986782073975, 0.9984372854232788, 0.7753113508224487]
+c1cc2cc(-c3ccc4c(c3)CCN4)sc2cn1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2']; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'OB(O)c1ccc2c(c1)CCN2', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999945163726807, 0.9998892545700073, 0.9980716705322266, 0.9742599725723267]
 CCc1sccc1-c1cc2ccncc2s1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2cc3ccncc3s2)cc1Cl; [None]; [None]; [0]
-c1cc2cc(-c3ccc4c(c3)CCN4)sc2cn1; [None]; [None]; [0]
-Oc1cc(-c2cc3ccncc3s2)nc2ccnn12; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)c3cc4ccncc4s3)ccc12; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3cc4ccncc4s3)cc2[nH]1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; ['O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'c1cc2ccsc2cn1']; [0.9999812841415405, 0.9999679923057556, 0.9774161577224731]
+CNc1nc(-c2cc3ccncc3s2)ncc1F; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Fc1cc(Br)ccc1Br', 'Brc1cc2ccncc2s1', 'Fc1cc(Br)ccc1I']; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'OB(O)c1ccc(Br)cc1F', 'c1cc2ccsc2cn1', 'Fc1cc(Br)ccc1Br', 'c1cc2ccsc2cn1']; [0.9999925494194031, 0.9998602867126465, 0.9987386465072632, 0.9978934526443481, 0.9974040985107422]
+CNC(=O)c1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CNC(=O)c1ccc(Br)cc1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'c1cc2ccsc2cn1']; [1.0, 0.9999974370002747, 0.9997168183326721, 0.998881995677948]
+Oc1cc(Br)cc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['OB(O)c1cc(O)cc(Br)c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C']; [0.9997923970222473, 0.9997320175170898]
 Cc1oc(-c2cc3ccncc3s2)cc1C(=O)[O-]; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3cc4ccncc4s3)cc2[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cc2ccncc2s1; [None]; [None]; [0]
-c1cc(Nc2cc3ccncc3s2)ccn1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cc2ccncc2s1; [None]; [None]; [0]
 Fc1ccc2n[nH]c(-c3cc4ccncc4s3)c2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cc3ccncc3s2)c1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
+Cc1cc(-c2cc3ccncc3s2)ccc1C(N)=O; ['Brc1cc2ccncc2s1', 'Cc1cc(Br)ccc1C(N)=O', 'Brc1cc2ccncc2s1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'c1cc2ccsc2cn1', 'Cc1cc(Br)ccc1C(N)=O']; [0.9999997615814209, 0.9990786910057068, 0.9989049434661865]
+O=C(NC1CC1)c1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'O=C(NC1CC1)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'c1cc2ccsc2cn1']; [1.0, 0.9999995231628418, 0.9999412298202515, 0.9985359907150269]
+c1cc(Nc2cc3ccncc3s2)ccn1; [None]; [None]; [0]
+Oc1cc(-c2cc3ccncc3s2)nc2ccnn12; [None]; [None]; [0]
+Cc1cc(-c2cc3ccncc3s2)cc(C)c1O; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O']; [0.9999962449073792, 0.9947191476821899]
+Oc1c(F)cc(-c2cc3ccncc3s2)cc1F; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'OB(O)c1cc(F)c(O)c(F)c1']; [0.9999986290931702, 0.9998809099197388]
+Cc1nc2ccc(-c3cc4ccncc4s3)cc2o1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Cc1nc2ccc(Br)cc2o1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'c1cc2ccsc2cn1']; [0.9999979734420776, 0.9999971985816956, 0.9960072040557861]
+Cn1ncc(N)c1-c1cc2ccncc2s1; [None]; [None]; [0]
+CSc1cccc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Cl)c1', 'Brc1cc2ccncc2s1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'CSc1cccc(Br)c1']; [0.9999992251396179, 0.9999231100082397, 0.9995702505111694, 0.9985086917877197, 0.9948058128356934, 0.9934895038604736]
 CN(c1cc2ccncc2s1)c1cccc2[nH]ncc12; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc3ccncc3s2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc4ccncc4s3)cc2o1; [None]; [None]; [0]
-Oc1c(F)cc(-c2cc3ccncc3s2)cc1F; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1']; ['Cc1onc(-c2ccccc2)c1B(O)O']; [0.9999039173126221]
 O=c1[nH][nH]c2cc(-c3cc4ccncc4s3)ccc12; [None]; [None]; [0]
-CSc1cccc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-c1ccc(COc2cc3ccncc3s2)cc1; [None]; [None]; [0]
 c1ccc2c(CCc3cc4ccncc4s3)c[nH]c2c1; [None]; [None]; [0]
 c1ccc2c(COc3cc4ccncc4s3)cccc2c1; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2cc3ccncc3s2)c(F)c1; [None]; [None]; [0]
-Fc1ccccc1Oc1cc2ccncc2s1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cc2ccncc2s1; [None]; [None]; [0]
-Fc1ccc(-c2cc3ccncc3s2)c(Cl)c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
 Fc1ccc(COc2cc3ccncc3s2)c(F)c1; [None]; [None]; [0]
-Fc1ccc(CCc2cc3ccncc3s2)c(F)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc2ccncc2s1; ['CNC(=O)c1ccccc1']; ['c1cc2ccsc2cn1']; [0.9725143313407898]
 Fc1cccc(Cl)c1CNc1cc2ccncc2s1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc2ccncc2s1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc2ccncc2s1; [None]; [None]; [0]
-COC(C)(C)CCc1cc2ccncc2s1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
+Fc1ccc(Oc2cc3ccncc3s2)c(F)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CCOc1ccccc1Br', 'CCOc1ccccc1Cl']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999988079071045, 0.9999915361404419, 0.9998693466186523, 0.9996155500411987, 0.9956666231155396]
 Cc1nnc(-c2ccccc2-c2cc3ccncc3s2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc2ccncc2s1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc2ccncc2s1; [None]; [None]; [0]
-Fc1cc(F)cc(Cc2cc3ccncc3s2)c1; [None]; [None]; [0]
+Fc1ccc(CCc2cc3ccncc3s2)c(F)c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'c1cc2ccsc2cn1']; [0.9999855756759644, 0.9996901154518127]
+Fc1cc(F)cc(Cc2cc3ccncc3s2)c1; ['Fc1cc(F)cc(CBr)c1']; ['c1cc2ccsc2cn1']; [0.9975059032440186]
 CP(C)(=O)c1ccccc1-c1cc2ccncc2s1; [None]; [None]; [0]
-c1ccc2c(-c3cc4ccncc4s3)ccnc2c1; [None]; [None]; [0]
-FC(F)(F)c1cccc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-Brc1ccccc1-c1cc2ccncc2s1; [None]; [None]; [0]
-FC(F)(F)Oc1ccccc1-c1cc2ccncc2s1; [None]; [None]; [0]
+CCn1cc(-c2cc3ccncc3s2)cn1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CCn1cc(Br)cn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Br)cn1', 'c1cc2ccsc2cn1']; [0.9999994039535522, 0.9998881816864014, 0.987300455570221, 0.8563123941421509]
+COC(C)(C)CCc1cc2ccncc2s1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'FC(F)(F)Oc1ccccc1I', 'Brc1cc2ccncc2s1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Cl', 'FC(F)(F)Oc1ccccc1']; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'c1cc2ccsc2cn1', 'FC(F)(F)Oc1ccccc1Br', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [1.0, 0.999997615814209, 0.999908447265625, 0.9998975396156311, 0.9998233318328857, 0.9992891550064087, 0.9839234352111816]
+Cn1cnc2ccc(-c3cc4ccncc4s3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['c1cc2ccsc2cn1']; [0.9986461400985718]
 O=C([O-])c1ccccc1-c1cc2ccncc2s1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cc2ccncc2s1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cc4ccncc4s3)cn2)cc1; [None]; [None]; [0]
-c1ccc(-c2ncc(-c3cc4ccncc4s3)[nH]2)cc1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1cc2ccncc2s1; [None]; [None]; [0]
-OCCn1cc(-c2cc3ccncc3s2)cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc3ccncc3s2)cs1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3ccncc3s2)c1)c1ccccc1; [None]; [None]; [0]
-O=c1c2c(F)cccc2cnn1-c1cc2ccncc2s1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'FC(F)(F)c1cccc(Br)c1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'OB(O)c1cccc(C(F)(F)F)c1', 'c1cc2ccsc2cn1']; [0.9999995231628418, 0.9999876618385315, 0.9995793104171753]
+c1ccc(Cn2cc(-c3cc4ccncc4s3)cn2)cc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cnn(Cc2ccccc2)c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'c1cc2ccsc2cn1']; [0.9999998807907104, 0.9999700784683228, 0.9872658252716064]
+NC(=O)c1ccccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1Cl']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999932050704956, 0.9998095035552979, 0.9958840608596802, 0.988628625869751, 0.9727365970611572]
+c1ccc2c(-c3cc4ccncc4s3)ccnc2c1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3cc4ccncc4s3)[nH]2)cc1; ['Brc1cc2ccncc2s1']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.9747284650802612]
+O=C(Nc1cccc(-c2cc3ccncc3s2)c1)c1ccccc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [1.0, 0.9999921321868896]
+CC(C)(C)c1nc(-c2cc3ccncc3s2)cs1; ['CC(C)(C)c1nccs1']; ['c1cc2ccsc2cn1']; [0.8928254842758179]
+c1ccn2c(-c3cc4ccncc4s3)cnc2c1; ['Brc1cc2ccncc2s1']; ['c1ccn2ccnc2c1']; [0.9999258518218994]
+Clc1ccc(Cl)c(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Clc1ccc(Cl)c(Br)c1']; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'OB(O)c1cc(Cl)ccc1Cl', 'c1cc2ccsc2cn1']; [0.9999953508377075, 0.9999632835388184, 0.9995753169059753]
+Cc1nc2ccccn2c1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1']; ['Cc1nc2ccccn2c1Br']; [0.9996911883354187]
+Cc1ccc(-c2cc3ccncc3s2)c(Br)c1; ['Brc1cc2ccncc2s1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Brc1cc2ccncc2s1']; ['Cc1ccc(B(O)O)c(Br)c1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'Cc1ccc(Br)c(Br)c1']; [0.991783618927002, 0.9475730657577515, 0.7850944995880127, 0.7571786046028137]
+OCCn1cc(-c2cc3ccncc3s2)cn1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'OCCn1cc(Br)cn1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1', 'c1cc2ccsc2cn1']; [0.9999990463256836, 0.9999772310256958, 0.9259330034255981]
+Cc1nc(C)c(-c2cc3ccncc3s2)s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Cc1nc(C)c(Br)s1']; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1', 'c1cc2ccsc2cn1']; [0.9999445080757141, 0.9886112213134766, 0.9844822287559509]
 COc1cnc(-c2cc3ccncc3s2)nc1; [None]; [None]; [0]
+c1cnn2c(-c3cc4ccncc4s3)cnc2c1; [None]; [None]; [0]
+c1cc(Cn2cncn2)cc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
 CC(C)C(=O)COc1cc2ccncc2s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc2ccncc2s1; [None]; [None]; [0]
-Cc1ccc(-c2cc3ccncc3s2)c(Br)c1; [None]; [None]; [0]
-c1ccn2c(-c3cc4ccncc4s3)cnc2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc3ccncc3s2)s1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999656677246094, 0.9999336004257202, 0.9993993639945984, 0.9983435869216919]
+O=c1c2c(F)cccc2cnn1-c1cc2ccncc2s1; [None]; [None]; [0]
+O=C(Nc1cc2ccncc2s1)c1cccs1; [None]; [None]; [0]
+c1cncc(CNc2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1']; ['NCc1cccnc1']; [0.999941349029541]
 CNc1nc(C)c(-c2cc3ccncc3s2)s1; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cc2ccncc2s1; [None]; [None]; [0]
-c1cnn2c(-c3cc4ccncc4s3)cnc2c1; [None]; [None]; [0]
-c1cc(Cn2cncn2)cc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-c1cncc(CNc2cc3ccncc3s2)c1; [None]; [None]; [0]
-Cc1c(-c2cc3ccncc3s2)sc(=O)n1C; [None]; [None]; [0]
-COc1cccc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-c1ccc2cc(-c3cc4ccncc4s3)ccc2c1; [None]; [None]; [0]
+c1ccc2c(c1)ncn2-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1']; ['c1ccc2[nH]cnc2c1']; [0.9998108744621277]
+NC(=O)c1c(F)cccc1-c1cc2ccncc2s1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1']; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; [0.9999994039535522]
+c1ccc2c(-c3cc4ccncc4s3)cncc2c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12', 'Clc1cncc2ccccc12', 'Brc1cc2ccncc2s1']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1cncc2ccccc12', 'Brc1cncc2ccccc12', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'c1ccc2cnccc2c1']; [0.9999992847442627, 0.9998172521591187, 0.9995113611221313, 0.9960496425628662, 0.9856525659561157, 0.9694346189498901, 0.9470494985580444]
 c1cncc(Nc2cc3ccncc3s2)c1; [None]; [None]; [0]
-c1ccc2c(c1)ncn2-c1cc2ccncc2s1; [None]; [None]; [0]
 c1cc2cc(NCCc3c[nH]cn3)sc2cn1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc3ccncc3s2)o1; [None]; [None]; [0]
-O=C(Nc1cc2ccncc2s1)c1cccs1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cc4ccncc4s3)cc2)cn1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'c1cc2ccsc2cn1']; [0.9999998807907104, 0.9998657703399658, 0.9980153441429138]
+Cc1c(-c2cc3ccncc3s2)sc(=O)n1C; [None]; [None]; [0]
+CN1c2ccc(-c3cc4ccncc4s3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc4ccncc4s3)ccc21; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999992847442627, 0.9999992251396179, 0.9982172250747681, 0.9978150129318237]
 O=C([O-])Cc1cccc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cc4ccncc4s3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['c1cc2ccsc2cn1']; [0.9991651773452759]
+Fc1ccccc1CNc1cc2ccncc2s1; [None]; [None]; [0]
+Clc1ccc(CNc2cc3ccncc3s2)cc1; [None]; [None]; [0]
 c1ccc(CCNc2cc3ccncc3s2)cc1; [None]; [None]; [0]
-c1ccc2c(-c3cc4ccncc4s3)cncc2c1; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cc4ccncc4s3)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cc4ccncc4s3)ccc12; [None]; [None]; [0]
-CN1c2ccc(-c3cc4ccncc4s3)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4ccncc4s3)ccc21; [None]; [None]; [0]
+CC(C)n1cc(-c2cc3ccncc3s2)nn1; ['CC(C)n1ccnn1']; ['c1cc2ccsc2cn1']; [0.9986138343811035]
+c1cc2cc(-c3ccc(-c4cn[nH]c4)cc3)sc2cn1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'c1cc2ccsc2cn1']; [0.9999995231628418, 0.999993085861206, 0.975772500038147]
+OCc1cccc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'OCc1cccc(Br)c1', 'OCc1cccc(I)c1']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(B(O)O)c1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999889135360718, 0.9998011589050293, 0.9837076663970947, 0.9606268405914307]
+CSc1nc(-c2cc3ccncc3s2)c[nH]1; ['Brc1cc2ccncc2s1']; ['CSc1ncc[nH]1']; [0.9977490901947021]
+c1cc2cc(-c3csc4ncncc34)sc2cn1; ['Brc1csc2ncncc12']; ['c1cc2ccsc2cn1']; [0.9785229563713074]
 CCCn1cnc(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
-Oc1cccc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-OCc1cccc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cc4ccncc4s3)cc2c1; ['Brc1cc2ccncc2s1']; ['CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C']; [0.9999984502792358]
+Nc1nc(-c2cc3ccncc3s2)cs1; [None]; [None]; [0]
 COc1cc(-c2cc3ccncc3s2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cc3ccncc3s2)nn1; [None]; [None]; [0]
-CSc1nc(-c2cc3ccncc3s2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc2ccncc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.9999988079071045]
 c1cc2cc(CCc3c[nH]nn3)sc2cn1; [None]; [None]; [0]
-c1cc2cc(-c3csc4ncncc34)sc2cn1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
+Nc1ncncc1-c1cc2ccncc2s1; [None]; [None]; [0]
+Fc1ccc(-c2cc3ccncc3s2)c(C(F)(F)F)c1; ['Brc1cc2ccncc2s1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Brc1cc2ccncc2s1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Brc1cc2ccncc2s1', 'Fc1cccc(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'c1cc2ccsc2cn1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'Fc1cccc(C(F)(F)F)c1', 'c1cc2ccsc2cn1']; [0.9999983906745911, 0.9999216794967651, 0.999910831451416, 0.9998914003372192, 0.9992192983627319, 0.9953349828720093, 0.8787672519683838]
+N#CCCc1cccc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'N#CCCc1cccc(Br)c1', 'Brc1cc2ccncc2s1']; ['N#CCCc1cccc(B(O)O)c1', 'c1cc2ccsc2cn1', 'N#CCCc1cccc(Br)c1']; [0.999976396560669, 0.9964410066604614, 0.9903068542480469]
+O=C(Nc1cc2ccncc2s1)c1c(Cl)cccc1Cl; ['Brc1cc2ccncc2s1']; ['NC(=O)c1c(Cl)cccc1Cl']; [0.9999250173568726]
+CC(C)c1oncc1-c1cc2ccncc2s1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cc3ccncc3s2)CC1; ['Brc1cc2ccncc2s1']; ['CS(=O)(=O)C1CCNCC1']; [0.9997129440307617]
 CCNc1nc2ccc(-c3cc4ccncc4s3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2cc3ccncc3s2)c(C(F)(F)F)c1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cc2ccncc2s1; [None]; [None]; [0]
-Cn1cc(-c2cc3ccncc3s2)c2ccccc21; [None]; [None]; [0]
-O=C(Nc1cc2ccncc2s1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cc3ccncc3s2)CC1; [None]; [None]; [0]
 CC(C)(COc1cc2ccncc2s1)S(C)(=O)=O; [None]; [None]; [0]
-COc1ccc(-c2cc3ccncc3s2)cc1Cl; [None]; [None]; [0]
-c1ccn2ncc(-c3cc4ccncc4s3)c2c1; [None]; [None]; [0]
-CCCn1cc(-c2cc3ccncc3s2)cn1; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2cc3ccncc3s2)cc1C(F)(F)F; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CC(=O)Nc1cccc(Br)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'c1cc2ccsc2cn1']; [0.9999998211860657, 0.999968409538269, 0.9989465475082397]
+COc1ccc(-c2cc3ccncc3s2)cc1Cl; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'Brc1cc2ccncc2s1', 'COc1ccccc1Cl', 'COc1ccc(Cl)cc1Cl']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'COc1ccc(Br)cc1Cl', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999997615814209, 0.9999974370002747, 0.9999753832817078, 0.9999151229858398, 0.9996764659881592, 0.9460115432739258, 0.7861151695251465]
+c1ccn2ncc(-c3cc4ccncc4s3)c2c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12']; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'Brc1cnn2ccccc12', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999994039535522, 0.9998486638069153, 0.9996994137763977, 0.9977047443389893, 0.9957302808761597]
+CCCn1cc(-c2cc3ccncc3s2)cn1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CCCn1cc(Br)cn1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'c1cc2ccsc2cn1']; [1.0, 0.999972939491272, 0.9924013614654541]
+c1ccc(Oc2cc3ccncc3s2)nc1; [None]; [None]; [0]
+NC(=O)CCCc1cc2ccncc2s1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1cc2ccncc2s1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CS(=O)c1ccc(Br)cc1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'c1cc2ccsc2cn1']; [0.9999964237213135, 0.9996674060821533, 0.91047203540802]
+CCN(CC)c1cc2ccncc2s1; ['Brc1cc2ccncc2s1']; ['CCNCC']; [0.9993809461593628]
+CCNS(=O)(=O)c1ccccc1-c1cc2ccncc2s1; ['CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1']; ['c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9991575479507446, 0.9874007701873779]
 O=c1cc(-c2cc3ccncc3s2)cc[nH]1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3cc4ccncc4s3)c21; [None]; [None]; [0]
-COc1cc(CCc2cc3ccncc3s2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1', 'CC(C)(N)c1ccc(Br)cc1']; ['CC(C)(N)c1ccc(Br)cc1', 'c1cc2ccsc2cn1']; [0.9949119091033936, 0.910670280456543]
+[NH3+]Cc1ccc(-c2cc3ccncc3s2)cc1C(F)(F)F; [None]; [None]; [0]
 C[C@@H](Oc1cc2ccncc2s1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-CCN(CC)c1cc2ccncc2s1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3cc4ccncc4s3)cc12; [None]; [None]; [0]
-c1ccc2c(-c3cc4ccncc4s3)c[nH]c2c1; [None]; [None]; [0]
-O=c1[nH]cc(Br)c2sc(-c3cc4ccncc4s3)cc12; [None]; [None]; [0]
-COc1ccncc1Nc1cc2ccncc2s1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cc4ccncc4s3)c21; ['O=C1CCc2cccc(Br)c21', 'Brc1cc2ccncc2s1']; ['c1cc2ccsc2cn1', 'O=C1CCc2cccc(Br)c21']; [0.9994736313819885, 0.9990389347076416]
+CC(C)(C)c1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999998807907104, 0.9999884366989136, 0.9998675584793091, 0.9997020959854126, 0.9922569990158081]
+CC(C)Oc1cncc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CC(C)Oc1cncc(Br)c1']; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'c1cc2ccsc2cn1']; [0.9999992847442627, 0.9999514818191528, 0.998873233795166]
 c1ccc(-c2ccncc2Nc2cc3ccncc3s2)cc1; [None]; [None]; [0]
 c1ccc2ncc(Nc3cc4ccncc4s3)cc2c1; [None]; [None]; [0]
-c1cc2c(-c3cc4ccncc4s3)c[nH]c2cn1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cc4ccncc4s3)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1cc2ccncc2s1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc2ccncc2s1; [None]; [None]; [0]
+O=c1[nH]cc(Br)c2sc(-c3cc4ccncc4s3)cc12; [None]; [None]; [0]
+c1cc2cc(-c3ccc(N4CCOCC4)cc3)sc2cn1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [1.0, 0.9999994039535522, 0.9955678582191467, 0.9753512740135193]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'c1cc2ccsc2cn1']; [1.0, 0.9999932050704956, 0.9936230182647705]
 CNC(=O)c1c(F)cccc1-c1cc2ccncc2s1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cc2ccncc2s1; [None]; [None]; [0]
 CC1(c2cc3ccncc3s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+OCc1ccn(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
 CN(c1cc2ccncc2s1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
-c1cc2cc(-c3ccc(N4CCOCC4)cc3)sc2cn1; [None]; [None]; [0]
 Cc1cc(-c2cc3ccncc3s2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1']; ['c1ccc2[nH]ncc2c1']; [0.9973204135894775]
 C[C@H](Nc1cc2ccncc2s1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-OCc1ccn(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
-OCCc1cn(-c2cc3ccncc3s2)cn1; [None]; [None]; [0]
 C[C@H](Nc1cc2ccncc2s1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cc2ccncc2s1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc2ccncc2s1; [None]; [None]; [0]
-c1ccc2c(c1)cnn2-c1cc2ccncc2s1; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1cc2ccncc2s1; [None]; [None]; [0]
-Oc1ncccc1-c1cc2ccncc2s1; [None]; [None]; [0]
+OCCc1cn(-c2cc3ccncc3s2)cn1; [None]; [None]; [0]
 c1cc2cc(-c3ccc(-n4cncn4)cc3)sc2cn1; [None]; [None]; [0]
-Oc1ccc2nc(-c3cc4ccncc4s3)[nH]c2c1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Fc1cccc(Cl)c1Br', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1']; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9999997019767761, 0.9999975562095642, 0.9999898672103882, 0.9999167919158936, 0.9996457099914551, 0.8975262641906738]
+Oc1cccc2c1cnn2-c1cc2ccncc2s1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cc3ccncc3s2)[nH]1; [None]; [None]; [0]
+C[C@@H](Nc1cc2ccncc2s1)C(C)(C)O; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cc3ccncc3s2)cc1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'c1cc2ccsc2cn1']; [0.9999994039535522, 0.9999480843544006, 0.9925987720489502]
+Oc1ccc2nc(-c3cc4ccncc4s3)[nH]c2c1; [None]; [None]; [0]
 COc1ccc(-c2cc3ccncc3s2)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2cc3ccncc3s2)cc1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cc2ccncc2s1; [None]; [None]; [0]
 c1cc2cc(-c3nncn3C3CC3)sc2cn1; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc3ccncc3s2)CC1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4cc5ccncc5s4)n3n2)cc1; [None]; [None]; [0]
 O=C(CCc1cc2ccncc2s1)NCc1ccccn1; [None]; [None]; [0]
-O=S(=O)(Cc1cc2ccncc2s1)NCc1ccccn1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cc4ccncc4s3)nn2)cc1; [None]; [None]; [0]
 CCc1cc(-c2cc3ccncc3s2)nc(N)n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cc4ccncc4s3)nn2)cc1; ['Brc1cc2ccncc2s1']; ['c1ccc(Cn2ccnn2)cc1']; [0.9983763694763184]
+O=S(=O)(Cc1cc2ccncc2s1)NCc1ccccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3ccncc3s2)s1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1cc2ccncc2s1; [None]; [None]; [0]
 CCCCc1cc(-c2cc3ccncc3s2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cc3ccncc3s2)s1; [None]; [None]; [0]
 Nc1nnc(-c2cc3ccncc3s2)s1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1cc2ccncc2s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cc3ccncc3s2)c(F)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3ccncc3s2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2ccncc2s1; [None]; [None]; [0]
+c1cc(-c2cc3ccncc3s2)c2sccc2c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cccc2ccsc12']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'OB(O)c1cccc2ccsc12', 'Brc1cccc2ccsc12', 'c1cc2ccsc2cn1']; [0.9999996423721313, 0.9992908239364624, 0.9948546886444092, 0.8769150972366333]
+C[C@@H2]NC(=O)N1CCC(c2cc3ccncc3s2)CC1; [None]; [None]; [0]
+Nc1cncc(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
+c1cc(-c2cc3ccncc3s2)c2snnc2c1; ['Brc1cc2ccncc2s1', 'Brc1cccc2nnsc12', 'Clc1cccc2nnsc12']; ['Brc1cccc2nnsc12', 'c1cc2ccsc2cn1', 'c1cc2ccsc2cn1']; [0.9997689723968506, 0.9978407621383667, 0.9907996654510498]
 CC1(C)Oc2ccc(-c3cc4ccncc4s3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4ccncc4s3)c2)cc1; [None]; [None]; [0]
-c1cc(-c2cc3ccncc3s2)c2sccc2c1; [None]; [None]; [0]
-c1cc(-c2cc3ccncc3s2)c2snnc2c1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc3ccncc3s2)[nH]1; [None]; [None]; [0]
-Nc1nc(-c2cc3ccncc3s2)nc2ccccc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4ccncc4s3)c2)cc1; [None]; [None]; [0]
+c1cnc2c(-c3cc4ccncc4s3)c[nH]c2c1; ['Brc1cc2ccncc2s1', 'Brc1c[nH]c2cccnc12', 'c1cc2ccsc2cn1']; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'c1cc2ccsc2cn1', 'c1cnc2cc[nH]c2c1']; [0.9999990463256836, 0.9971883893013, 0.9087273478507996]
 c1ccc2nc(-c3cc4ccncc4s3)ncc2c1; [None]; [None]; [0]
-c1cnc2c(-c3cc4ccncc4s3)c[nH]c2c1; [None]; [None]; [0]
 c1cc2cc(-c3ncc4cc[nH]c4n3)sc2cn1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc3ccncc3s2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cc3ccncc3s2)nc2ccccc12; [None]; [None]; [0]
+OCCn1cnc(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cc2ccncc2s1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'COc1ncccc1Br']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'c1cc2ccsc2cn1']; [0.999998152256012, 0.9999675750732422, 0.9988878965377808]
 COc1ccc(C#N)cc1-c1cc2ccncc2s1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc2ccncc2s1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc3ccncc3s2)c1; ['Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'Brc1cc2ccncc2s1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'c1cc2ccsc2cn1']; [0.999997615814209, 0.9999690651893616, 0.9957773685455322, 0.9943299293518066]
 COc1ccc(Oc2cc3ccncc3s2)c(F)c1F; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cc3ccncc3s2)CC1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2cc3ccncc3s2)C1; ['Brc1cc2ccncc2s1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.999957799911499]
 COc1ccc(OC)c(-c2cc3ccncc3s2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc3ccncc3s2)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc3ccncc3s2)cnn1; [None]; [None]; [0]
-c1ccc2[nH]c(C3CCN(c4cc5ccncc5s4)CC3)nc2c1; [None]; [None]; [0]
-C1=C(c2c[nH]c3ccccc23)CCN(c2cc3ccncc3s2)C1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4cc5ccncc5s4)CC3)nc2c1; ['Brc1cc2ccncc2s1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9999083876609802]
 O=C(Nc1cccc(-c2cc3ccncc3s2)c1)C1CCNCC1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc3ccncc3s2)cnn1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccnc(NC(C)=O)c1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O']; [0.9999977350234985, 0.9999861717224121, 0.9999161958694458, 0.9995832443237305]
+C[C@@]1(O)CC[C@H](c2cc3ccncc3s2)CC1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccnc(NC(C)=O)c1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Br', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Cl', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Br', 'CCOc1ccccc1']; [0.9999961256980896, 0.999994158744812, 0.9999908208847046, 0.9999308586120605, 0.9999285936355591, 0.9998507499694824, 0.9998033046722412, 0.999127984046936, 0.9970993995666504, 0.9920513033866882, 0.8540598154067993]
+CC(=O)Nc1cc(-c2ccccc2S(=O)(=O)C(C)C)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; [0.9999984502792358, 0.9999569654464722, 0.9999535083770752, 0.9988280534744263]
+CC(=O)Nc1cc(Cc2cc(F)cc(F)c2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['Fc1cc(F)cc(CBr)c1']; [0.9992398023605347]
+CCn1cc(-c2ccnc(NC(C)=O)c2)cn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1']; [0.9999964237213135, 0.9999954700469971, 0.9999871850013733, 0.9999828338623047, 0.999977171421051, 0.9999470114707947, 0.999775767326355]
+CC(=O)Nc1cc(-c2ccccc2P(C)(C)=O)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccccc2OC(F)(F)F)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1']; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1Br', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1']; [0.999998927116394, 0.9999986290931702, 0.9999870657920837, 0.9999791383743286, 0.9999330639839172, 0.9996490478515625, 0.9930199384689331]
+CC(=O)Nc1cc(-c2cccc(C(F)(F)F)c2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.999992847442627, 0.9999670386314392, 0.9999032020568848, 0.9998599886894226, 0.999807596206665, 0.9988465309143066]
+CC(=O)Nc1cc(-c2ccccc2-c2nnc(C)[nH]2)ccn1; [None]; [None]; [0]
+COC(C)(C)CCc1ccnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccccc2C(=O)[O-])ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cnn(Cc3ccccc3)c2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'Brc1cnn(Cc2ccccc2)c1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999995827674866, 0.9999995231628418, 0.999996542930603, 0.9999940395355225, 0.9999899864196777, 0.9999847412109375, 0.9999748468399048, 0.9996355772018433]
+CC(=O)Nc1cc(-c2ccccc2C(N)=O)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1B(O)O', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1']; [0.9999884963035583, 0.9999808669090271, 0.9999666213989258, 0.9999279975891113, 0.9999089241027832, 0.9998428821563721, 0.9997847080230713, 0.9988603591918945, 0.9647985696792603, 0.7877073287963867]
+CC(=O)Nc1cc(-c2ccnc3ccccc23)ccn1; ['Brc1ccnc2ccccc12', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'Brc1ccnc2ccccc12', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Clc1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CCCC[Sn](CCCC)(CCCC)c1ccnc2ccccc12', 'CC(=O)Nc1cc(Br)ccn1', 'OB(O)c1ccnc2ccccc12']; [0.9999925494194031, 0.9999853372573853, 0.9998783469200134, 0.9998575448989868, 0.9996989965438843, 0.9996376037597656, 0.9984868764877319, 0.9944689273834229, 0.9943403005599976]
+CC(=O)Nc1cc(-c2ccc3ncn(C)c(=O)c3c2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9999432563781738, 0.9996949434280396, 0.9968202710151672]
+CC(=O)Nc1cc(-c2csc(C(C)(C)C)n2)ccn1; ['CC(=O)Nc1cc(I)ccn1']; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1']; [0.9999954700469971]
+CC(=O)Nc1cc(-c2cnn(CCO)c2)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(I)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cccn1']; [0.9999914169311523, 0.9999880194664001, 0.9999840259552002, 0.9999628067016602, 0.9999399185180664, 0.9997986555099487, 0.9997806549072266, 0.9992764592170715, 0.9705231785774231]
+COc1cnc(-c2ccnc(NC(C)=O)c2)nc1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9987640380859375, 0.997916579246521]
+CC(=O)Nc1cc(-c2ccc(C)cc2Br)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; [0.9994760751724243, 0.9994251132011414, 0.9990125894546509, 0.9828472137451172, 0.9349910020828247]
+CC(=O)Nc1cc(-c2cnc(-c3ccccc3)[nH]2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c(C)nc3ccccn23)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['Cc1nc2ccccn2c1Br']; [0.9999847412109375]
+CC(=O)Nc1cc(-c2cc(Cl)ccc2Cl)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1ccccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1ccccn1']; ['Clc1ccc(Cl)c(Br)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(I)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)cc1', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999973773956299, 0.9999956488609314, 0.9999947547912598, 0.99998539686203, 0.9999664425849915, 0.999955952167511, 0.9995578527450562, 0.9993062019348145, 0.9981670379638672, 0.997886061668396, 0.9642326831817627, 0.9571380615234375, 0.9542670249938965]
+CC(=O)Nc1cc(-c2cccc(NC(=O)c3ccccc3)c2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(OCC(=O)C(C)C)ccn1; [None]; [None]; [0]
 CC(=O)Nc1cc(-n2ncc3cccc(F)c3c2=O)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cnc3ccccn23)ccn1; ['Brc1cnc2ccccn12', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'Brc1cnc2ccccn12']; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'CC(=O)Nc1cc(Br)ccn1']; [0.9999954700469971, 0.9999949932098389, 0.9999654293060303, 0.9975138902664185]
+CC(=O)Nc1cc(-c2sc(C)nc2C)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['Cc1nc(C)c(Br)s1', 'Cc1csc(C)n1', 'Cc1csc(C)n1']; [0.9999970197677612, 0.9992275238037109, 0.9666585922241211]
+CNc1nc(C)c(-c2ccnc(NC(C)=O)c2)s1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['CNc1nc(C)c(Br)s1', 'CNc1nc(C)cs1']; [0.999996542930603, 0.9998863339424133]
+CC(=O)Nc1cc(-c2sc(N)nc2C)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['Cc1nc(N)sc1Br']; [0.9999992847442627]
+CC(=O)Nc1cc(-c2cnc3cccnn23)ccn1; ['Brc1cnc2cccnn12', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'Brc1cnc2cccnn12', 'CC(=O)Nc1cc(Br)ccn1']; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'Clc1cnc2cccnn12', 'CC(=O)Nc1cc(Br)ccn1', 'c1cnn2ccnc2c1']; [0.9999979734420776, 0.999994158744812, 0.9997286200523376, 0.9993841648101807]
+CC(=O)Nc1cc(-c2cccc(Br)c2)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'Brc1cccc(Br)c1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1']; [0.9998876452445984, 0.9998616576194763, 0.9997997283935547, 0.9997608661651611, 0.9966318607330322, 0.9955562949180603]
+CC(=O)Nc1cc(NCc2cccnc2)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'BrCc1cccnc1', 'CC(=O)Nc1cc(C=O)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1']; ['NCc1cccnc1', 'ClCc1cccnc1', 'NCc1cccnc1', 'CC(=O)Nc1cc(N)ccn1', 'NCc1cccnc1', 'NCc1cccnc1', 'O=Cc1cccnc1', 'OCc1cccnc1']; [0.9937118291854858, 0.9882989525794983, 0.9792536497116089, 0.9743400812149048, 0.965908944606781, 0.938854455947876, 0.9296210408210754, 0.8162161111831665]
+CC(=O)Nc1cc(-c2cc(C)ccc2Cl)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1ccccn1']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1']; [0.9999808073043823, 0.9999797344207764, 0.9999663233757019, 0.9999281167984009, 0.9998463988304138, 0.9998462200164795, 0.9981083273887634, 0.9826816320419312, 0.9792803525924683, 0.8185821175575256]
+CC(=O)Nc1cc(-c2c(Cl)cccc2Cl)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999978542327881, 0.9999967217445374, 0.9999914169311523, 0.9999473094940186, 0.9999138712882996, 0.9998399019241333, 0.9997033476829529, 0.9995790719985962, 0.9970899820327759, 0.9469209909439087]
+CC(=O)Nc1cc(-c2ccnc(N)n2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1']; [0.9999814033508301, 0.9999120235443115]
+CC(=O)Nc1cc(-c2cccc(Cn3cncn3)c2)ccn1; ['CC(=O)Nc1cc(I)ccn1']; ['c1ccc(Cn2cncn2)cc1']; [0.9551675319671631]
+CC(=O)Nc1cc(-c2cnn3ncccc23)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'Brc1cnn2ncccc12', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; [0.9999996423721313, 0.9999986886978149, 0.9999966621398926, 0.9999872446060181]
+CC(=O)Nc1cc(-c2ccc3ccccc3c2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'Brc1ccc2ccccc2c1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'OB(O)c1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.9999947547912598, 0.9999849200248718, 0.9999589323997498, 0.9999083876609802, 0.9998689889907837, 0.9991652965545654]
+CC(=O)Nc1cc(-n2cnc3ccccc32)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9921602010726929, 0.8419474363327026]
+CC(=O)Nc1cc(Nc2cccnc2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'Brc1cccnc1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(N)ccn1']; ['Nc1cccnc1', 'OB(O)c1cccnc1', 'Nc1cccnc1', 'CC(=O)Nc1cc(N)ccn1', 'Ic1cccnc1', 'Nc1cccnc1', 'Clc1cccnc1']; [0.9990910291671753, 0.9989978075027466, 0.9962694644927979, 0.9949911832809448, 0.9902985095977783, 0.9894555807113647, 0.9851614832878113]
+CC(=O)Nc1cc(NC(=O)c2cccs2)ccn1; ['CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(N)=O', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'O=C(Nc1ccnc(Cl)c1)c1cccs1', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1']; [0.999871015548706, 0.9997811317443848, 0.9992533922195435, 0.9970836639404297, 0.9922976493835449]
+CC(=O)Nc1cc(NCCc2c[nH]cn2)ccn1; ['CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(N)ccn1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'O=C(O)Cc1c[nH]cn1']; [0.9981085062026978, 0.9962381720542908, 0.9918810129165649, 0.9825855493545532]
 CC(=O)Nc1cc(-c2sc(=O)n(C)c2C)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnn3ncccc23)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(Cc2ncc(C(C)(C)C)o2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cncc3ccccc23)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'Brc1cncc2ccccc12', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'Brc1cncc2ccccc12', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'Brc1cncc2ccccc12']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'Ic1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC(=O)Nc1cc(I)ccn1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Clc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'CC(=O)Nc1cc(Br)ccn1']; [0.9999998211860657, 0.9999995231628418, 0.999998927116394, 0.9999953508377075, 0.9999944567680359, 0.9999911189079285, 0.9999908208847046, 0.999974250793457, 0.9998965263366699, 0.9994919300079346, 0.9986096620559692]
+CC(=O)Nc1cc(-c2cccc(CC(=O)[O-])c2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c[nH]nc2C(F)(F)F)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc(F)c2C(N)=O)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(NCCc2ccccc2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'BrCCc1ccccc1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'ClCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'ICCc1ccccc1', 'CS(=O)(=O)OCCc1ccccc1', 'Cc1ccc(S(=O)(=O)OCCc2ccccc2)cc1', 'CC(=O)Nc1cc(N)ccn1', 'O=CCc1ccccc1', 'COC(Cc1ccccc1)OC', 'N#CCc1ccccc1', 'CN(C)CCc1ccccc1', 'O=C(Cl)Cc1ccccc1', 'OCCc1ccccc1', 'O=CCCc1ccccc1', 'O=C(O)Cc1ccccc1']; [0.999771237373352, 0.9985737800598145, 0.9957377910614014, 0.9930727481842041, 0.9909992218017578, 0.9904846549034119, 0.984215497970581, 0.9797183275222778, 0.9739663600921631, 0.9621638655662537, 0.9584708213806152, 0.95624840259552, 0.947034478187561, 0.9374616146087646, 0.9113501310348511, 0.9075236916542053, 0.8664383888244629, 0.8075995445251465]
+CC(=O)Nc1cc(-c2ccc(-c3cnn(C)c3)cc2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; [0.9999997615814209, 0.9999926090240479, 0.9999898672103882]
+CC(=O)Nc1cc(-c2ccc3c(cnn3C)c2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2ccccc21']; [0.9999997615814209, 0.9999997615814209, 0.9999983310699463, 0.9999959468841553, 0.9999859929084778, 0.9999661445617676, 0.9731159210205078]
+CC(=O)Nc1cc(-c2ccc3c(N)[nH]nc3c2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(NCc2ccc(Cl)cc2)ccn1; ['CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['Clc1ccc(CBr)cc1', 'ClCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9995312094688416, 0.9992481470108032, 0.9992091655731201, 0.9940450191497803, 0.9935402870178223, 0.9786279201507568, 0.8992040157318115]
 CC(=O)Nc1cc(-c2ccc3c(c2)CS(=O)(=O)N3C)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc(CO)c2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(Br)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Cl)c1', 'OCc1cccc(B(O)O)c1']; [0.9999760389328003, 0.9999510645866394, 0.9999146461486816, 0.9997693300247192, 0.9992798566818237, 0.9989715218544006, 0.998420238494873, 0.9974672794342041, 0.9902383089065552]
+CC(=O)Nc1cc(-c2cccc(O)c2)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; [0.9998122453689575, 0.999744176864624, 0.9996364712715149, 0.9995049834251404, 0.9992351531982422, 0.9991278648376465, 0.9949048757553101, 0.9915575981140137]
+CC(=O)Nc1cc(Nc2ccncc2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'Brc1ccncc1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['Nc1ccncc1', 'CC(=O)Nc1cc(N)ccn1', 'Clc1ccncc1', 'Ic1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1']; [0.9980826377868652, 0.9975584745407104, 0.9973872303962708, 0.9961256384849548, 0.9947118759155273, 0.9872153997421265]
+CC(=O)Nc1cc(NCc2ccccc2F)ccn1; ['CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(C=O)ccn1', 'CC(=O)Nc1cc(N)ccn1']; ['Fc1ccccc1CCl', 'Fc1ccccc1CBr', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'OCc1ccccc1F', 'NCc1ccccc1F', 'O=Cc1ccccc1F']; [0.9998602271080017, 0.9997374415397644, 0.9979236125946045, 0.994698166847229, 0.990341305732727, 0.9642815589904785, 0.9426907300949097, 0.8759148716926575]
+CC(=O)Nc1cc(-c2ccc(-c3cn[nH]c3)cc2)ccn1; [None]; [None]; [0]
 COc1cc(-c2ccnc(NC(C)=O)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CCCn1cnc(-c2ccnc(NC(C)=O)c2)n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cn(C(C)C)nn2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2csc3ncncc23)ccn1; ['Brc1csc2ncncc12']; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; [0.9999972581863403]
+CC(=O)Nc1cc(-c2cc3ccccc3[nH]2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['Ic1cc2ccccc2[nH]1', 'Clc1cc2ccccc2[nH]1']; [0.9999961853027344, 0.9996776580810547]
+CSc1nc(-c2ccnc(NC(C)=O)c2)c[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2csc(N)n2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1']; [0.9999984502792358, 0.9999918937683105]
 CC(=O)Nc1cc(CCc2c[nH]nn2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc(CCC#N)c2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; [0.999981701374054, 0.9998989105224609, 0.9998852014541626, 0.9983183145523071]
+CC(=O)Nc1cc(-c2cncnc2N)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1Br']; [0.999997615814209, 0.9999933242797852, 0.9916436672210693]
+CC(=O)Nc1cc(-c2cnoc2C(C)C)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(Oc2ccccn2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['Oc1ccccn1', 'Oc1ccccn1']; [0.9769203066825867, 0.9151104092597961]
+CCNc1nc2ccc(-c3ccnc(NC(C)=O)c3)cc2s1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(F)cc2C(F)(F)F)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1ccccn1']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9999932646751404, 0.9999622106552124, 0.9999516010284424, 0.9998009204864502, 0.9993672966957092, 0.7810457348823547]
+CCC(=O)Nc1ccc(-c2ccnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc(NC(=O)c2c(Cl)cccc2Cl)ccn1; ['CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(N)ccn1']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.9999011754989624, 0.9995087385177612]
+CC(=O)Nc1cccc(-c2ccnc(NC(C)=O)c2)c1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Br)c1']; [0.9999876022338867, 0.9999723434448242, 0.9999620914459229, 0.9998132586479187, 0.9997485876083374, 0.9995258450508118, 0.9995105862617493, 0.9988076090812683, 0.9986463785171509, 0.9632984399795532]
+CC(=O)Nc1cc(N2CCC(S(C)(=O)=O)CC2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; [0.9994964599609375, 0.9801105856895447]
+CC(=O)Nc1cc(CCCC(N)=O)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cn(C)c3ccccc23)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999880194664001, 0.9999874830245972, 0.9996728897094727]
+COc1ccc(-c2ccnc(NC(C)=O)c2)cc1Cl; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1ccccn1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccccc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl']; [0.9999995231628418, 0.9999960660934448, 0.9999954700469971, 0.9999925494194031, 0.9999772310256958, 0.9996978044509888, 0.9915899038314819, 0.9882278442382812, 0.9146761894226074]
+CCCn1cc(-c2ccnc(NC(C)=O)c2)cn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1']; [0.9999991655349731, 0.9999983906745911, 0.9999927282333374, 0.9999918937683105, 0.9999899864196777, 0.9999879002571106, 0.9999595880508423]
+CC(=O)Nc1cc(-c2cccc3c2C(=O)CC3)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['O=C1CCc2cccc(Br)c21']; [0.9999977350234985]
+CC(=O)Nc1cc(-c2cnn3ccccc23)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'Brc1cnn2ccccc12', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1ccccn1', 'CC(=O)Nc1ccccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'Brc1cnn2ccccc12', 'CC(=O)Nc1ccccn1']; ['Ic1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'Clc1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'c1ccn2nccc2c1', 'OB(O)c1cnn2ccccc12', 'Ic1cnn2ccccc12', 'c1ccn2nccc2c1', 'CC(=O)Nc1ccccn1', 'Clc1cnn2ccccc12']; [0.9999998807907104, 0.9999997019767761, 0.9999994039535522, 0.9999977946281433, 0.9999972581863403, 0.9999971389770508, 0.9999944567680359, 0.9999903440475464, 0.9999130964279175, 0.9986245632171631, 0.9977118968963623, 0.9946066737174988, 0.9758456945419312, 0.8760052919387817, 0.8565064668655396]
 CC(=O)Nc1cc(CCNC(=O)CC(C)(C)O)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(NC(=O)c2c(Cl)cccc2Cl)ccn1; [None]; [None]; [0]
 CC(=O)Nc1cc(OCC(C)(C)S(C)(=O)=O)ccn1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccnc(NC(C)=O)c1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['CCNS(=O)(=O)c1ccccc1Br']; [0.9999980330467224]
+CC(=O)Nc1cc(-c2ccc(C(C)(C)N)cc2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1']; [0.9999810457229614, 0.9990065693855286, 0.8689117431640625]
+CC(=O)Nc1cc(-c2cc[nH]c(=O)c2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc([S@](C)=O)cc2)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Cl)cc1', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccccc1']; [0.9999982118606567, 0.9999977350234985, 0.9999952912330627, 0.9999939203262329, 0.9999554753303528, 0.999940037727356, 0.9998977184295654, 0.9990817308425903, 0.9975613355636597, 0.9282453060150146, 0.8679562211036682]
+CCN(CC)c1ccnc(NC(C)=O)c1; [None, None, 'CC(=O)Nc1cc(Br)ccn1']; [None, None, 'CCNCC']; [0, 0, 0.8696693181991577]
 CC(=O)Nc1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)ccn1; [None]; [None]; [0]
+COc1cc(CCc2ccnc(NC(C)=O)c2)cc(OC)c1; [None]; [None]; [0]
 CC(=O)Nc1cc(O[C@H](C)c2c(Cl)cncc2Cl)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cncc(OC(C)C)c2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; [1.0, 0.9999997615814209, 0.9999983310699463, 0.9999968409538269, 0.9999961853027344, 0.9999408721923828, 0.9996333122253418]
+CC(=O)Nc1cc(-c2cc3c(=O)[nH]ccc3o2)ccn1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)ccn1; [None]; [None]; [0]
+COc1ccncc1Nc1ccnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(C)(C)C)cc2)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccccc1']; [0.9999997019767761, 0.9999995231628418, 0.9999988079071045, 0.9999988079071045, 0.9999934434890747, 0.9999934434890747, 0.9999924898147583, 0.9999703168869019, 0.999967634677887, 0.9999402165412903, 0.9999284744262695, 0.9936032295227051, 0.9857856631278992]
+CC(=O)Nc1cc(Nc2cnc3ccccc3c2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'Brc1cnc2ccccc2c1', 'CC(=O)Nc1cc(N)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['Nc1cnc2ccccc2c1', 'CC(=O)Nc1cc(N)ccn1', 'Ic1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; [0.9999128580093384, 0.9998065233230591, 0.9994970560073853, 0.9986756443977356, 0.99826580286026]
 CC(=O)Nc1cc(Nc2cnccc2-c2ccccc2)ccn1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccnc(NC(C)=O)c1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1ccccn1', 'CC(=O)Nc1ccccn1']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O']; [1.0, 1.0, 0.9999998807907104, 0.9999995231628418, 0.9999992847442627, 0.9999992847442627, 0.999997615814209, 0.9999972581863403, 0.9999945163726807, 0.9999661445617676, 0.9999656677246094, 0.9997963905334473, 0.9918047189712524, 0.9383407831192017]
+CC(=O)Nc1cc(-c2c[nH]c3cnccc23)ccn1; ['Brc1c[nH]c2cnccc12', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'Ic1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9999839663505554, 0.9999678730964661, 0.9720213413238525, 0.9557363986968994, 0.9257185459136963]
+CC(=O)Nc1cc(-c2cnc3[nH]ccc3c2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'Brc1cnc2[nH]ccc2c1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'Ic1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'CC(=O)Nc1cc(Br)ccn1']; [1.0, 0.9999996423721313, 0.9999949932098389, 0.9999948143959045, 0.9999929666519165, 0.9999802112579346, 0.999825119972229, 0.9997117519378662]
+CNS(=O)(=O)c1ccc(-c2ccnc(NC(C)=O)c2)cc1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9999957084655762, 0.9999816417694092, 0.9999734163284302, 0.999963641166687, 0.9997456073760986]
+CC(=O)Nc1cc(-c2ccc(S(C)(=O)=O)cc2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(Br)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [1.0, 0.9999991655349731, 0.9999987483024597, 0.9999986886978149, 0.9999985694885254, 0.999980092048645]
+CC(=O)Nc1cc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [1.0, 0.9999998807907104, 0.9999985694885254, 0.9999984502792358, 0.9999970197677612, 0.9999967813491821, 0.999963641166687, 0.9998493194580078, 0.9454734325408936]
 CC(=O)Nc1cc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)ccn1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cc(C2(C)CCN(S(C)(=O)=O)CC2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(N3CCOCC3)cc2)ccn1; [None]; [None]; [0]
 CC(=O)Nc1cc(N[C@@H](C)C(=O)NCC(F)(F)F)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccn(CC[NH3+])n2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(N[C@H](C)C(C)(C)O)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; [0.9678149223327637, 0.8625861406326294]
+CC(=O)Nc1cc(-n2cnc(CCO)c2)ccn1; ['CC(=O)Nc1cc(I)ccn1']; ['OCCc1cnc[nH]1']; [0.9962701797485352]
+CC(=O)Nc1cc(-c2c(F)cccc2Cl)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1', 'OB(O)c1c(F)cccc1Cl']; [0.9999998211860657, 0.9999995231628418, 0.9999993443489075, 0.9999985694885254, 0.9999983310699463, 0.9999933242797852, 0.9999916553497314, 0.9999874830245972, 0.9999797344207764, 0.9999167919158936, 0.9991434812545776, 0.9983269572257996]
+CC(=O)Nc1cc(-c2cc(C)nn2-c2cccc(Cl)c2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(N[C@@H](C)C(C)(C)O)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-n2ccc(CO)n2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2nc3ccc(O)cc3[nH]2)ccn1; ['CC(=O)Nc1cc(C(=O)O)ccn1', 'CC(=O)Nc1cc(C=O)ccn1']; ['Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N']; [0.9999524354934692, 0.9992383718490601]
+CC(=O)Nc1cc(-c2ccc(-n3cncn3)cc2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1']; ['c1ccc(-n2cncn2)cc1', 'c1ccc(-n2cncn2)cc1']; [0.9987931251525879, 0.9971848726272583]
+COc1ccc(-c2ccnc(NC(C)=O)c2)c(OC)c1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1cccc(OC)c1']; [0.9999918937683105, 0.9999817609786987, 0.9999687671661377, 0.999844491481781, 0.9998437166213989, 0.999793291091919, 0.9997287392616272, 0.9991871118545532, 0.9990807175636292, 0.998558759689331, 0.998536229133606, 0.964613676071167, 0.919902503490448]
+CC(=O)Nc1cc(-n2ncc3ccccc32)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-n2ncc3c(O)cccc32)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(=O)c3ccccc3)cc2)ccn1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccnc(NC(C)=O)c2)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc([C@@H]2CC[C@@H](NC(C)=O)CC2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2nncn2C(C)C)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2nncn2C2CC2)ccn1; [None]; [None]; [0]
 CC(=O)Nc1cc(Cc2nnc3ccc(-c4ccccc4)nn23)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2nnc(N)s2)ccn1; ['CC(=O)Nc1cc(C(=O)O)ccn1']; ['NNC(N)=S']; [0.9999266862869263]
+CC(=O)Nc1cc(-c2ccn(CC[NH3+])n2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(CCC(=O)NCc2ccccn2)ccn1; [None]; [None]; [0]
 CC(=O)Nc1cc(CS(=O)(=O)NCc2ccccn2)ccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccnc(NC(C)=O)c2)s1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['CNC(=O)c1ccc(Br)s1']; [0.9999972581863403]
+CCc1cc(-c2ccnc(NC(C)=O)c2)nc(N)n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cn(Cc3ccccc3)nn2)ccn1; [None]; [None]; [0]
+CCCCc1cc(-c2ccnc(NC(C)=O)c2)nc(N)n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc(C(C)(C)O)n2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1']; [0.9999336004257202, 0.9989913702011108, 0.9943720102310181]
+CC(=O)Nc1cc(-c2cncc(N)n2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1']; [0.999944806098938, 0.9998266100883484]
 CC(=O)Nc1cc(-c2cc(C(N)=O)cn2C)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['CC1(C)Oc2ccc(Br)nc2NC1=O']; [0.9993996620178223]
+CC(=O)Nc1cc(-c2cccc3ccsc23)ccn1; ['CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'Brc1cccc2ccsc12', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'OB(O)c1cccc2ccsc12', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999997615814209, 0.9999997019767761, 0.9999969601631165, 0.9999927878379822, 0.9999716281890869, 0.999625563621521]
 CC(=O)Nc1cc(Oc2ccc(C[NH3+])cc2F)ccn1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)ccn1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccnc(NC(C)=O)c2)CC1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2nc3ccccc3s2)ccn1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccnc(NC(C)=O)c3)c2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ncc3ccccc3n2)ccn1; ['Brc1ncc2ccccc2n1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'Clc1ncc2ccccc2n1']; [0.9999192953109741, 0.9997734427452087]
 CC(=O)Nc1cc(-c2cccc3nnsc23)ccn1; [None]; [None]; [0]
-COc1ccc(Oc2ccnc(NC(C)=O)c2)c(F)c1F; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(C(C)(C)O)n2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2nc(N)c3ccccc3n2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ncc3cc[nH]c3n2)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['Clc1ncc2cc[nH]c2n1']; [0.9999889135360718]
+CC(=O)Nc1cc(-c2cnc(NC(C)=O)[nH]2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c[nH]c3cccnc23)ccn1; ['CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'Brc1c[nH]c2cccnc12', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1']; ['Ic1c[nH]c2cccnc12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Clc1c[nH]c2cccnc12']; [0.9999934434890747, 0.9999886751174927, 0.9999842643737793, 0.999976396560669, 0.9995359182357788, 0.999500036239624]
+COc1ccc(Oc2ccnc(NC(C)=O)c2)c(F)c1F; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; [0.9999531507492065, 0.9994139671325684, 0.9983660578727722]
+COc1ccc(C#N)cc1-c1ccnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc(S(=O)(=O)N(C)C)c2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; [0.9999961853027344, 0.9999960660934448, 0.9998674392700195, 0.9996209144592285, 0.9995391368865967, 0.9942203760147095]
+COc1ncccc1-c1ccnc(NC(C)=O)c1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(B2OC(C)(C)C(C)(C)O2)ccn1', 'CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1', 'CC(=O)Nc1cc(Br)ccn1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; [0.9999604225158691, 0.9999457597732544, 0.9999445676803589, 0.9996588230133057, 0.9996334314346313, 0.9994089603424072, 0.9986879825592041, 0.9985060691833496, 0.9971588850021362, 0.9941978454589844, 0.9672347903251648]
+CC(=O)Nc1cc([C@H]2CC[C@@](C)(O)CC2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cn(CCO)cn2)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)ccn1; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9990025758743286, 0.9779113531112671]
+COc1ccc(OC)c(-c2ccnc(NC(C)=O)c2)c1; [None]; [None]; [0]
+CC(=O)Nc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)ccn1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['CC(=O)Nc1cc(Br)ccn1', 'CC(=O)Nc1cc(I)ccn1', 'CC(=O)Nc1cc(Cl)ccn1']; [0.9998873472213745, 0.9994012117385864, 0.9910478591918945]
+CC(=O)Nc1cc(-c2cnnc(N(C)C)c2)ccn1; [None]; [None]; [0]
+CCOc1ccccc1-c1cc(Cl)c2cccnc2c1O; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9999452233314514, 0.9999430179595947, 0.9998873472213745, 0.9973999261856079]
 CC(=O)Nc1cc(-c2cccc(NC(=O)C3CCNCC3)c2)ccn1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+Oc1c(Cc2cc(F)cc(F)c2)cc(Cl)c2cccnc12; ['Fc1cc(F)cc(CCl)c1', 'Cc1cc(F)cc(F)c1', 'Fc1cc(F)cc(CCl)c1', 'OCc1cc(F)cc(F)c1', 'Cc1cc(F)cc(F)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1ccc(Cl)c2cccnc12', 'Oc1ccc(Cl)c2cccnc12', 'Oc1ccc(Cl)c2cccnc12']; [0.9965269565582275, 0.9878184795379639, 0.9629455208778381, 0.9594159126281738, 0.8089922070503235]
+COC(C)(C)CCc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+Oc1c(-c2ccnc3ccccc23)cc(Cl)c2cccnc12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9997493028640747, 0.9887913465499878, 0.9800397157669067]
+Cc1nnc(-c2ccccc2-c2cc(Cl)c3cccnc3c2O)[nH]1; [None]; [None]; [0]
+CCn1cc(-c2cc(Cl)c3cccnc3c2O)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; [0.999955415725708, 0.9986909627914429, 0.9978578090667725]
+O=C([O-])c1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+Oc1c(-c2cccc(C(F)(F)F)c2)cc(Cl)c2cccnc12; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9999911785125732, 0.9998667240142822, 0.9997050762176514, 0.9977902173995972]
+NC(=O)c1ccccc1-c1cc(Cl)c2cccnc2c1O; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9999940395355225, 0.9975420236587524, 0.9779806733131409]
+Oc1c(-c2ccccc2OC(F)(F)F)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1c(-c2cnn(Cc3ccccc3)c2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(Cl)c3cccnc3c2O)cs1; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1', 'CC(C)(C)c1nccs1']; ['Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12']; [0.9999978542327881, 0.9824302792549133]
+Cn1cnc2ccc(-c3cc(Cl)c4cccnc4c3O)cc2c1=O; [None]; [None]; [0]
+Oc1c(-c2cnc(-c3ccccc3)[nH]2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+OCCn1cc(-c2cc(Cl)c3cccnc3c2O)cn1; [None]; [None]; [0]
+Oc1c(-c2cc(Cl)ccc2Cl)cc(Cl)c2cccnc12; ['OB(O)c1cc(Cl)ccc1Cl']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.9972416162490845]
+O=C(Nc1cccc(-c2cc(Cl)c3cccnc3c2O)c1)c1ccccc1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; [0.9999819993972778, 0.9999532699584961, 0.9999352693557739, 0.9998825788497925]
+Cc1ccc(-c2cc(Cl)c3cccnc3c2O)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc(Cl)c2cccnc2c1O; ['Cc1cn2ccccc2n1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.9926567673683167]
+Oc1c(-c2cnc3ccccn23)cc(Cl)c2cccnc12; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9989213347434998, 0.9936497211456299]
+CC(C)C(=O)COc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+COc1cnc(-c2cc(Cl)c3cccnc3c2O)nc1; [None]; [None]; [0]
+Oc1c(-c2c(Cl)cccc2Cl)cc(Cl)c2cccnc12; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9965344667434692, 0.9916585683822632]
+Cc1ccc(Cl)c(-c2cc(Cl)c3cccnc3c2O)c1; ['Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9952952861785889, 0.9902160167694092]
+Cc1nc(C)c(-c2cc(Cl)c3cccnc3c2O)s1; [None]; [None]; [0]
+Oc1c(-c2cnc3cccnn23)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1c(NCc2cccnc2)cc(Cl)c2cccnc12; ['NCc1cccnc1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.9271436929702759]
+Oc1c(-c2cccc(Cn3cncn3)c2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1c(-c2cccc(Br)c2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc(Cl)c3cccnc3c2O)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+Oc1c(Nc2cccnc2)cc(Cl)c2cccnc12; ['Nc1cccnc1', 'Nc1cccnc1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; [0.9677952527999878, 0.8967747092247009]
+Oc1c(-c2ccc3ccccc3c2)cc(Cl)c2cccnc12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Oc1c(Br)cc(Cl)c2cccnc12']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12', 'c1ccc2ccccc2c1']; [0.9999982118606567, 0.9999866485595703, 0.9999727010726929, 0.9993842840194702, 0.829463005065918]
+O=C(Nc1cc(Cl)c2cccnc2c1O)c1cccs1; ['NC(=O)c1cccs1', 'NC(=O)c1cccs1']; ['Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12']; [0.9688392281532288, 0.9656298160552979]
 Cc1c(-c2cc(Cl)c3cccnc3c2O)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
+Oc1c(-n2cnc3ccccc32)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1c(NCCc2c[nH]cn2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1c(-c2c[nH]nc2C(F)(F)F)cc(Cl)c2cccnc12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.9998387098312378]
+Oc1c(NCCc2ccccc2)cc(Cl)c2cccnc12; ['NCCc1ccccc1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.8792424201965332]
+NC(=O)c1c(F)cccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+Oc1c(-c2cncc3ccccc23)cc(Cl)c2cccnc12; ['OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9962018728256226, 0.9009884595870972]
+Nc1[nH]nc2cc(-c3cc(Cl)c4cccnc4c3O)ccc12; [None]; [None]; [0]
 Oc1c(-c2cnn3ncccc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc(Cl)c3cccnc3c2O)o1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cc(Cl)c4cccnc4c3O)cc2)cn1; [None]; [None]; [0]
+Oc1c(NCc2ccc(Cl)cc2)cc(Cl)c2cccnc12; ['NCc1ccc(Cl)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.9699559807777405]
 CN1c2ccc(-c3cc(Cl)c4cccnc4c3O)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(Cl)c4cccnc4c3O)ccc21; [None]; [None]; [0]
+Oc1c(-c2ccc(-c3cn[nH]c3)cc2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
+OCc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
+Oc1c(NCc2ccccc2F)cc(Cl)c2cccnc12; ['NCc1ccccc1F']; ['Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9003947973251343]
+Oc1c(Nc2ccncc2)cc(Cl)c2cccnc12; ['Nc1ccncc1', 'Nc1ccncc1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; [0.9833508133888245, 0.8230695724487305]
+CCCn1cnc(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
+CC(C)n1cc(-c2cc(Cl)c3cccnc3c2O)nn1; ['CC(C)n1ccnn1', 'CC(C)n1ccnn1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; [0.999564528465271, 0.9994180202484131]
 COc1cc(-c2cc(Cl)c3cccnc3c2O)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cc(Cl)c3cccnc3c2O)nn1; [None]; [None]; [0]
+Oc1c(-c2csc3ncncc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Nc1nc(-c2cc(Cl)c3cccnc3c2O)cs1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9988284111022949, 0.9973068237304688, 0.9904959201812744]
+Oc1c(-c2cc3ccccc3[nH]2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+CSc1nc(-c2cc(Cl)c3cccnc3c2O)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+Nc1ncncc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cc(Cl)c4cccnc4c3O)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; [None]; [None]; [0]
+Oc1c(-c2ccc(F)cc2C(F)(F)F)cc(Cl)c2cccnc12; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9998718500137329, 0.9996336102485657, 0.9942625164985657]
 Oc1c(CCc2c[nH]nn2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc(Cl)c3cccnc3c2O)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9999432563781738, 0.9999431371688843, 0.9998389482498169, 0.9997464418411255, 0.998002290725708]
+Oc1c(Oc2ccccn2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cc(Cl)c3cccnc3c2O)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; [0.9767259955406189, 0.8996173739433289]
 O=C(Nc1cc(Cl)c2cccnc2c1O)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+NC(=O)CCCc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+COc1ccc(-c2cc(Cl)c3cccnc3c2O)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9999986886978149, 0.9999983906745911, 0.9999767541885376, 0.9999507665634155, 0.9981977343559265]
+Oc1c(-c2cnn3ccccc23)cc(Cl)c2cccnc12; ['OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9989323616027832, 0.9872277975082397]
 CC(C)(COc1cc(Cl)c2cccnc2c1O)S(C)(=O)=O; [None]; [None]; [0]
+Cn1cc(-c2cc(Cl)c3cccnc3c2O)c2ccccc21; [None]; [None]; [0]
+O=c1cc(-c2cc(Cl)c3cccnc3c2O)cc[nH]1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.9999738931655884]
+CCCn1cc(-c2cc(Cl)c3cccnc3c2O)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9999985098838806, 0.9999937415122986, 0.9998992681503296, 0.9998016357421875, 0.9963628053665161]
 [NH3+]Cc1ccc(-c2cc(Cl)c3cccnc3c2O)cc1C(F)(F)F; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.9997344017028809]
+CCN(CC)c1cc(Cl)c2cccnc2c1O; ['CCNCC', 'CCNCC', 'CCNCC']; ['Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9948005676269531, 0.9922319650650024, 0.9355677366256714]
+COc1cc(CCc2cc(Cl)c3cccnc3c2O)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cc(Cl)c4cccnc4c3O)c21; [None]; [None]; [0]
 C[C@@H](Oc1cc(Cl)c2cccnc2c1O)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cc(Cl)c4cccnc4c3O)cc12; [None]; [None]; [0]
+Oc1c(Nc2cnccc2-c2ccccc2)cc(Cl)c2cccnc12; ['Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; [0.9992827773094177, 0.9959665536880493]
+CC(C)(C)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9999986886978149, 0.9997940063476562, 0.9996145963668823, 0.9945989847183228]
+COc1ccncc1Nc1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cc(Cl)c4cccnc4c3O)cc12; [None]; [None]; [0]
-Oc1c(Nc2cnccc2-c2ccccc2)cc(Cl)c2cccnc12; [None]; [None]; [0]
-C[C@H](Nc1cc(Cl)c2cccnc2c1O)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc(Cl)c3cccnc3c2O)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12']; [0.999957799911499, 0.9999266862869263, 0.9997533559799194]
+Oc1c(Nc2cnc3ccccc3c2)cc(Cl)c2cccnc12; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; [0.9967223405838013, 0.9925000667572021]
+COc1cccc(F)c1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9999836683273315, 0.9994382858276367, 0.9987043142318726, 0.9953687787055969]
+Oc1c(-c2c[nH]c3cnccc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1c(-c2cnc3[nH]ccc3c2)cc(Cl)c2cccnc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12']; [0.9999935030937195, 0.9998207092285156, 0.9997913837432861, 0.9995821714401245, 0.9983360767364502, 0.9742687344551086]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12']; [0.9999995231628418, 0.9999984502792358, 0.9999954700469971, 0.9997481107711792, 0.999688446521759, 0.999061107635498, 0.944096565246582]
+CNC(=O)c1c(F)cccc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+Oc1c(-c2ccc(N3CCOCC3)cc2)cc(Cl)c2cccnc12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Br[Mg]c1ccc(N2CCOCC2)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12', 'Oc1ccc(Cl)c2cccnc12']; [0.999999463558197, 0.9999747276306152, 0.9999735951423645, 0.9999693036079407, 0.999325692653656, 0.9127011895179749]
+CS(=O)(=O)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [1.0, 0.9999822378158569, 0.9999799132347107, 0.9988284111022949]
+C[C@H](Nc1cc(Cl)c2cccnc2c1O)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12']; [0.9323843121528625, 0.9290460348129272]
 CN(c1cc(Cl)c2cccnc2c1O)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
+C[C@@H](Nc1cc(Cl)c2cccnc2c1O)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Oc1c(Br)cc(Cl)c2cccnc12']; [0.9290460348129272]
+CC1(c2cc(Cl)c3cccnc3c2O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@H](Nc1cc(Cl)c2cccnc2c1O)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCCc1cn(-c2cc(Cl)c3cccnc3c2O)cn1; [None]; [None]; [0]
+Cc1cc(-c2cc(Cl)c3cccnc3c2O)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Oc1c(-c2c(F)cccc2Cl)cc(Cl)c2cccnc12; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(I)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9999799728393555, 0.9995971918106079, 0.9980800151824951, 0.9933133125305176]
+OCc1ccn(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
+Oc1c(-n2ncc3ccccc32)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+Oc1c(-c2ccc(-n3cncn3)cc2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1ccc2nc(-c3cc(Cl)c4cccnc4c3O)[nH]c2c1; [None]; [None]; [0]
+COc1ccc(-c2cc(Cl)c3cccnc3c2O)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9998722672462463, 0.9974455237388611]
+O=C(c1ccccc1)c1ccc(-c2cc(Cl)c3cccnc3c2O)cc1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc(Cl)c3cccnc3c2O)[nH]1; [None]; [None]; [0]
+Oc1c(-c2nncn2C2CC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
 Oc1c(Cc2nnc3ccc(-c4ccccc4)nn23)cc(Cl)c2cccnc12; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(Cl)c3cccnc3c2O)CC1; [None]; [None]; [0]
+O=C(CCc1cc(Cl)c2cccnc2c1O)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1cc(Cl)c2cccnc2c1O)NCc1ccccn1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
+Oc1c(-c2cn(Cc3ccccc3)nn2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Nc1nnc(-c2cc(Cl)c3cccnc3c2O)s1; [None]; [None]; [0]
+CCc1cc(-c2cc(Cl)c3cccnc3c2O)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(Cl)c3cccnc3c2O)nc(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(Cl)c3cccnc3c2O)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cc(Cl)c3cccnc3c2O)c(F)c1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cc(Cl)c4cccnc4c3O)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(Cl)c4cccnc4c3O)c2)cc1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(Cl)c3cccnc3c2O)CC1; [None]; [None]; [0]
 Oc1c(-c2cccc3nnsc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1c(-c2cccc3ccsc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1c(-c2nc3ccccc3s2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Nc1cncc(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(Cl)c4cccnc4c3O)c2)cc1; [None]; [None]; [0]
+Oc1c(-c2c[nH]c3cccnc23)cc(Cl)c2cccnc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(Cl)c3cccnc3c2O)[nH]1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc(Cl)c2cccnc2c1O; [None]; [None]; [0]
 COc1ccc(Oc2cc(Cl)c3cccnc3c2O)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc(Cl)c3cccnc3c2O)n1; [None]; [None]; [0]
+Nc1nc(-c2cc(Cl)c3cccnc3c2O)nc2ccccc12; [None]; [None]; [0]
+Oc1c(-c2ncc3cc[nH]c3n2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1c(-c2ncc3ccccc3n2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+COc1ncccc1-c1cc(Cl)c2cccnc2c1O; ['COc1ncccc1B(O)O', 'COc1ncccc1B(O)O']; ['Oc1c(Br)cc(Cl)c2cccnc12', 'Oc1c(Cl)cc(Cl)c2cccnc12']; [0.9995884895324707, 0.9945998191833496]
+C[C@@]1(O)CC[C@H](c2cc(Cl)c3cccnc3c2O)CC1; [None]; [None]; [0]
+OCCn1cnc(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc(Cl)c3cccnc3c2O)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(Cl)c3cccnc3c2O)cnn1; [None]; [None]; [0]
+Oc1c(N2CCC(c3nc4ccccc4[nH]3)CC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1c(N2CC=C(c3c[nH]c4ccccc34)CC2)cc(Cl)c2cccnc12; [None]; [None]; [0]
+Oc1cccc(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Brc1cnc2nc[nH]c2c1']; ['OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'Clc1cnc2nc[nH]c2c1', 'Oc1cccc(Br)c1']; [0.9987040758132935, 0.9976836442947388, 0.9973060488700867, 0.958294153213501, 0.8538227081298828]
+c1cc(-c2cnc3nc[nH]c3c2)c2cccnc2c1; ['Brc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cccc2ncccc12', 'Clc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Clc1cnc2nc[nH]c2c1', 'OB(O)c1cccc2ncccc12', 'Ic1cccc2ncccc12', 'Brc1cnc2nc[nH]c2c1', 'OB(O)c1cccc2ncccc12']; [0.9999908208847046, 0.9997601509094238, 0.9997468590736389, 0.9995140433311462, 0.9952008128166199, 0.9911340475082397]
+Clc1ccc2c(c1-c1cnc3nc[nH]c3c1)OCO2; ['Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2']; [0.9967004060745239, 0.8407561779022217]
 O=C(Nc1cccc(-c2cc(Cl)c3cccnc3c2O)c1)C1CCNCC1; [None]; [None]; [0]
+Oc1cc(-c2cnc3nc[nH]c3c2)ccc1Cl; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'OB(O)c1ccc(Cl)c(O)c1', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9998623132705688, 0.9993102550506592, 0.9745973348617554]
+CNS(=O)(=O)c1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2nc[nH]c2c1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.9999922513961792, 0.9998178482055664, 0.9994951486587524, 0.9969967603683472, 0.846076488494873]
+c1ccc2c(-c3cnc4nc[nH]c4c3)n[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['Clc1n[nH]c2ccccc12']; [0.9663439989089966]
+Clc1cccc(Cl)c1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1']; [0.9999369382858276, 0.9991310834884644, 0.996533989906311, 0.9755595922470093, 0.940060019493103]
+Fc1ccc(Oc2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9991707801818848, 0.9972319602966309]
+Oc1ccc(-c2cnc3nc[nH]c3c2)c(Cl)c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C']; ['OB(O)c1ccc(O)cc1Cl', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'OB(O)c1ccc(O)cc1Cl', 'Clc1cnc2nc[nH]c2c1']; [0.9980510473251343, 0.9926943182945251, 0.960810661315918, 0.8460807800292969]
+NC(=O)c1ccc(-c2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3nc[nH]c3c2)c(F)c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['OB(O)c1ccc(O)cc1F', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Br)c(F)c1']; [0.9979147911071777, 0.9976538419723511, 0.9805657863616943, 0.8889667391777039]
+NC(=O)c1ccc(-c2cnc3nc[nH]c3c2)c(F)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2nc[nH]c2c1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'Brc1cnc2nc[nH]c2c1', 'COc1ccc(F)cc1[Mg]Br']; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'Clc1cnc2nc[nH]c2c1', 'COc1ccc(F)cc1Br', 'Clc1cnc2nc[nH]c2c1', 'c1cnc2nc[nH]c2c1', 'c1cnc2nc[nH]c2c1', 'COc1ccc(F)cc1', 'Clc1cnc2nc[nH]c2c1']; [0.9999622702598572, 0.9997817277908325, 0.9968953132629395, 0.9961425065994263, 0.9943593740463257, 0.9741817712783813, 0.9372497200965881, 0.8682897090911865, 0.7987695336341858]
+Nc1nccc(-c2cnc3nc[nH]c3c2)n1; ['Brc1cnc2nc[nH]c2c1']; ['Nc1nccc(Cl)n1']; [0.9998412132263184]
+Clc1[nH]ncc1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'Clc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Br']; [0.9999158382415771, 0.9998536109924316, 0.999467134475708, 0.998694896697998, 0.998680830001831, 0.9627441167831421]
+O=C([O-])c1ccc(-c2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
+COc1cc(-c2cnc3nc[nH]c3c2)ccc1O; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'COc1cc(B(O)O)ccc1O']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'Clc1cnc2nc[nH]c2c1']; [0.9999746084213257, 0.9888328313827515, 0.9293495416641235]
+Cc1nc2c(F)cc(-c3cnc4nc[nH]c4c3)cc2[nH]1; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3cnc4nc[nH]c4c3)cc2)c(O)c1; [None]; [None]; [0]
-c1cnn2ncc(-c3cnc4nc[nH]c4c3)c2c1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cnc3nc[nH]c3c2)o1; [None]; [None]; [0]
+COc1cc(CCc2cnc3nc[nH]c3c2)ccc1O; [None]; [None]; [0]
+Oc1ccc(-c2cnc3nc[nH]c3c2)cc1F; ['Brc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Clc1cnc2nc[nH]c2c1', 'OB(O)c1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F']; [0.9999675750732422, 0.9996961355209351, 0.9991130828857422, 0.9944984316825867, 0.8925622701644897]
+Brc1cccc(-c2cnc3nc[nH]c3c2)c1; [None]; [None]; [0]
+c1ccc2cc(-c3cnc4nc[nH]c4c3)ccc2c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'Clc1cnc2nc[nH]c2c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'Clc1cnc2nc[nH]c2c1']; [0.999879777431488, 0.9984567761421204, 0.9983775615692139, 0.9975615739822388, 0.9683254957199097, 0.9334741830825806]
+Cn1cc(-c2cnc3nc[nH]c3c2)c2ccccc21; ['Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999022483825684, 0.9960343837738037]
+c1cnn2ncc(-c3cnc4nc[nH]c4c3)c2c1; ['Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; [0.9999932050704956]
+Oc1ccc(-c2cnc3nc[nH]c3c2)c(O)c1; [None]; [None]; [0]
+c1cc2c(-c3cnc4nc[nH]c4c3)c[nH]c2cn1; [None]; [None]; [0]
+Nc1cc(-c2cnc3nc[nH]c3c2)ccn1; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'OB(O)c1cc(O)ccc1Cl']; [0.9816747903823853, 0.9740280508995056]
+Fc1ccc(-c2cnc3nc[nH]c3c2)cc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
+Oc1ncc(-c2cnc3nc[nH]c3c2)cc1Cl; ['Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C']; [0.9999443292617798]
+Cc1ccc2[nH]ncc2c1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2nc[nH]c2c1', 'Cc1ccc(CO)cc1B(O)O', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2nc[nH]c2c1', 'Cc1ccc(CO)cc1B(O)O', 'Clc1cnc2nc[nH]c2c1', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1I']; [0.9999493360519409, 0.9988672733306885, 0.9985954761505127, 0.9911623001098633, 0.981998860836029, 0.9755421876907349]
+Clc1ccccc1OCc1cnc2nc[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cnc3nc[nH]c3c2)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'COc1cc(OC)cc(B(O)O)c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'Clc1cnc2nc[nH]c2c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1']; [0.9999691247940063, 0.9991669654846191, 0.9943186044692993, 0.9919281005859375, 0.9457365274429321]
+COc1ccc(-c2cnc3nc[nH]c3c2)cc1OC; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'COc1ccc(B(O)O)cc1OC', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'Clc1cnc2nc[nH]c2c1', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC']; [0.9999953508377075, 0.9994283318519592, 0.9978156089782715, 0.9960627555847168, 0.9192041158676147]
+CCOc1cccc(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'CCOc1cccc(B(O)O)c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'Clc1cnc2nc[nH]c2c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(Br)c1']; [0.9999887943267822, 0.9995502233505249, 0.998631477355957, 0.9863831996917725, 0.8849663734436035]
+CNC(=O)c1cccc2cc(-c3cnc4nc[nH]c4c3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnc4nc[nH]c4c3)cc2[nH]1; [None]; [None]; [0]
+c1nc2ncc(-c3cnc4[nH]ccc4c3)cc2[nH]1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'Brc1cnc2nc[nH]c2c1']; [0.9999991655349731, 0.9998981952667236, 0.9998043179512024, 0.9995790123939514, 0.9853405952453613]
+NC(=O)Nc1ccc(-c2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3cnc4nc[nH]c4c3)nc2c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['c1ccc2scnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1nc2ccccc2s1']; [0.9999372959136963, 0.9995006322860718, 0.9992936849594116]
+COc1cc(CCc2cnc3nc[nH]c3c2)cc(OC)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Brc1cnc2nc[nH]c2c1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2nc[nH]c2c1', 'CS(=O)(=O)c1ccc(I)cc1', 'Clc1cnc2nc[nH]c2c1', 'CS(=O)(=O)c1ccc([B-](F)(F)F)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; [0.9999995827674866, 0.9999862909317017, 0.9999858140945435, 0.9997084736824036, 0.9993671178817749, 0.997613251209259, 0.9732806086540222]
+Oc1cncc(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1']; [0.9969611167907715, 0.987271249294281, 0.9869428277015686, 0.8492411375045776]
+O=C1Cc2cc(-c3cnc4nc[nH]c4c3)ccc2N1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Clc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1', 'Clc1cnc2nc[nH]c2c1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9999754428863525, 0.9999221563339233, 0.9975483417510986, 0.9967957735061646, 0.9835712909698486, 0.8956179618835449]
+Cc1cc(O)ccc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Cc1cc(O)ccc1B(O)O']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Clc1cnc2nc[nH]c2c1']; [0.9955002069473267, 0.9946658611297607, 0.9796836972236633]
+CCc1cc(O)ccc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2nc[nH]c2c1']; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2nc[nH]c2c1', 'CCc1cc(O)ccc1Br']; [0.9998149871826172, 0.9957154989242554, 0.8552156686782837]
+CCc1cc(O)c(F)cc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2nc[nH]c2c1']; [0.9999611973762512, 0.9994531869888306]
+CNc1nccc(-c2cnc3nc[nH]c3c2)n1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1cnc2nc[nH]c2c1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cnc4nc[nH]c4c3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnc3nc[nH]c3c2)c1C; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1']; ['CNc1cccc(Cl)c1']; [0.9756032228469849]
+Oc1c(Cl)cc(-c2cnc3nc[nH]c3c2)cc1Cl; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C']; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Clc1cnc2nc[nH]c2c1']; [0.9997786283493042, 0.9914000034332275, 0.9685348868370056]
+Clc1cnccc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CC1(C)COB(c2ccncc2Cl)OC1', 'OB(O)c1ccncc1Cl', 'Clc1cnc2nc[nH]c2c1', 'CCCC[Sn](CCCC)(CCCC)c1ccncc1Cl', 'Clc1cnccc1I', 'Clc1cnccc1Br', 'OB(O)c1ccncc1Cl']; [0.9999711513519287, 0.999803364276886, 0.999535083770752, 0.9988762140274048, 0.9973611831665039, 0.9972484111785889, 0.9800273180007935, 0.9790310859680176]
+FC(F)c1cc(-c2cnc3nc[nH]c3c2)[nH]n1; [None]; [None]; [0]
+CNc1nc(-c2cnc3nc[nH]c3c2)ncc1F; [None]; [None]; [0]
+CCc1sccc1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
+c1nc2ncc(-c3ccc4c(c3)CCN4)cc2[nH]1; ['Brc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'Brc1ccc2c(c1)CCN2']; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Clc1cnc2nc[nH]c2c1', 'OB(O)c1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'Brc1cnc2nc[nH]c2c1']; [1.0, 0.999993085861206, 0.9999841451644897, 0.9998511672019958, 0.9997817277908325, 0.9991486072540283]
+CNC(=O)c1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2nc[nH]c2c1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2nc[nH]c2c1', 'CNC(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2nc[nH]c2c1']; [0.9999966621398926, 0.9999420642852783, 0.9998489618301392, 0.9984695315361023]
+c1cc(Nc2cnc3nc[nH]c3c2)ccn1; ['Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1']; ['Nc1ccncc1', 'Nc1ccncc1']; [0.9988745450973511, 0.9970730543136597]
 Oc1cc(-c2cnc3nc[nH]c3c2)nc2ccnn12; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br']; [0.9984728097915649, 0.9924163818359375, 0.992178201675415, 0.9504250884056091, 0.9288817644119263]
+Fc1ccc2n[nH]c(-c3cnc4nc[nH]c4c3)c2c1; ['Brc1cnc2nc[nH]c2c1']; ['Fc1ccc2n[nH]cc2c1']; [0.9999200105667114]
+O=c1[nH]c2ccc(-c3cnc4nc[nH]c4c3)cc2[nH]1; [None]; [None]; [0]
 Cc1oc(-c2cnc3nc[nH]c3c2)cc1C(=O)[O-]; [None]; [None]; [0]
-CN(c1cnc2nc[nH]c2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnc2nc[nH]c2c1; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2cnc3nc[nH]c3c2)c1; ['Clc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C']; ['OB(O)c1cc(O)cc(Br)c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'OB(O)c1cc(O)cc(Br)c1', 'Clc1cnc2nc[nH]c2c1']; [0.990847110748291, 0.9851187467575073, 0.9726008176803589, 0.9056578278541565]
+O=C(NC1CC1)c1ccc(-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Clc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'Clc1cnc2nc[nH]c2c1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999994039535522, 0.9999887347221375, 0.9999616742134094, 0.9994683265686035, 0.9894611835479736]
+CN(c1cnc2nc[nH]c2c1)c1cccc2[nH]ncc12; ['CNc1cccc2[nH]ncc12']; ['Clc1cnc2nc[nH]c2c1']; [0.7534213066101074]
+Cc1nc2ccc(-c3cnc4nc[nH]c4c3)cc2o1; ['Brc1cnc2nc[nH]c2c1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Clc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; [0.9999979734420776, 0.9999914169311523, 0.999989926815033, 0.999977707862854, 0.9941854476928711]
+Cc1cc(-c2cnc3nc[nH]c3c2)ccc1C(N)=O; ['Brc1cnc2nc[nH]c2c1', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Brc1cnc2nc[nH]c2c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Clc1cnc2nc[nH]c2c1', 'Cc1cc(Br)ccc1C(N)=O']; [0.9999798536300659, 0.9999457597732544, 0.8767433166503906]
+Cc1cc(-c2cnc3nc[nH]c3c2)cc(C)c1O; ['Brc1cnc2nc[nH]c2c1', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Brc1cnc2nc[nH]c2c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Clc1cnc2nc[nH]c2c1', 'Cc1cc(B(O)O)cc(C)c1O']; [0.9994584918022156, 0.9897617101669312, 0.9046717286109924]
+Oc1c(F)cc(-c2cnc3nc[nH]c3c2)cc1F; ['Brc1cnc2nc[nH]c2c1', 'Brc1cnc2nc[nH]c2c1', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1']; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'OB(O)c1cc(F)c(O)c(F)c1', 'Clc1cnc2nc[nH]c2c1', 'Oc1c(F)cc(Br)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1']; [0.9998898506164551, 0.9972535371780396, 0.9955425262451172, 0.9717520475387573, 0.9678671956062317]
+CSc1cccc(-c2cnc3nc[nH]c3c2)c1; ['Brc1cnc2nc[nH]c2c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1cnc2nc[nH]c2c1', 'CSc1cccc(B(O)O)c1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1cnc2nc[nH]c2c1', 'CSc1cccc(B(O)O)c1', 'Clc1cnc2nc[nH]c2c1']; [0.9999780654907227, 0.9998886585235596, 0.9667195081710815, 0.9365500211715698]
+Cc1onc(-c2ccccc2)c1-c1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'Cc1onc(-c2ccccc2)c1B(O)O']; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Clc1cnc2nc[nH]c2c1']; [0.9999111294746399, 0.99881911277771]
+O=c1[nH][nH]c2cc(-c3cnc4nc[nH]c4c3)ccc12; [None]; [None]; [0]
+c1ccc2c(CCc3cnc4nc[nH]c4c3)c[nH]c2c1; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2-c2cnc3nc[nH]c3c2)cc1; [None]; [None]; [0]
-CN(c1ccc(O)cc1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1cccc2ncccc12; [None]; [None]; [0]
+Fc1ccc(Oc2cnc3nc[nH]c3c2)c(F)c1; ['Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9998705983161926, 0.9987276792526245]
+Fc1ccc(COc2cnc3nc[nH]c3c2)c(F)c1; ['Brc1cnc2nc[nH]c2c1']; ['OCc1ccc(F)cc1F']; [0.9909413456916809]
+Fc1cccc(Cl)c1CNc1cnc2nc[nH]c2c1; ['Brc1cnc2nc[nH]c2c1', 'Clc1cnc2nc[nH]c2c1']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.999919593334198, 0.9975377321243286]
+Clc1ccc(-c2[nH]ncc2-c2cnc3nc[nH]c3c2)cc1; ['Brc1cnc2nc[nH]c2c1']; ['Clc1ccc(-c2ccn[nH]2)cc1']; [0.9166643619537354]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1cccc2ncccc12; ['CNc1cccc2ncccc12']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9987363815307617]
+c1ccc2c(COc3cnc4nc[nH]c4c3)cccc2c1; [None]; [None]; [0]
+Fc1ccc(CCc2cnc3nc[nH]c3c2)c(F)c1; ['OCCc1ccc(F)cc1F', 'Fc1ccc(CCBr)c(F)c1']; ['c1cnc2nc[nH]c2c1', 'c1cnc2nc[nH]c2c1']; [0.9145119190216064, 0.9045315384864807]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1n[nH]c2ccccc12; ['CNc1n[nH]c2ccccc12']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.912796676158905]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1c(Cl)cccc1Cl; ['CNc1c(Cl)cccc1Cl']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9989510774612427]
+CN(c1cccc(O)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CCc1ccc(N(C)c2ccc3ncn(C)c(=O)c3c2)cc1; [None]; [None]; [0]
 CN(c1ccc(Cl)c(O)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1n[nH]c2ccccc12; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(N(C)c2ccc3ncn(C)c(=O)c3c2)cc1; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-CN(c1ccc(C(N)=O)cc1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 CN(c1ccc2ncn(C)c(=O)c2c1)c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1ccc(O)cc1Cl; [None]; [None]; [0]
+COc1ccc(F)cc1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CN(c1ccc(C(N)=O)cc1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+COc1cc(F)ccc1N(C)c1ccc2ncn(C)c(=O)c2c1; ['CNc1ccc(F)cc1OC']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9996455907821655]
+COc1cc(C(N)=O)ccc1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1ccc(O)cc1F; [None]; [None]; [0]
 CN(c1ccc2ncn(C)c(=O)c2c1)c1ccnc(N)n1; [None]; [None]; [0]
 CN(c1ccc2ncn(C)c(=O)c2c1)c1cn[nH]c1Cl; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1ccc(O)cc1Cl; [None]; [None]; [0]
+CN(c1cccc(Br)c1)c1ccc2ncn(C)c(=O)c2c1; ['CNc1cccc(Br)c1']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9515060782432556]
+CN(c1ccc2ccccc2c1)c1ccc2ncn(C)c(=O)c2c1; ['CNc1ccc2ccccc2c1']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9142594337463379]
+Cc1nc2c(F)cc(N(C)c3ccc4ncn(C)c(=O)c4c3)cc2[nH]1; [None]; [None]; [0]
 CN(c1ccc(-c2ccc(O)cc2O)cc1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 COc1cc(N(C)c2ccc3ncn(C)c(=O)c3c2)ccc1O; [None]; [None]; [0]
 CN(c1ccc(C(=O)[O-])cc1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CN(COc1cccc(Cl)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 COC(=O)c1ccc(N(C)c2ccc3ncn(C)c(=O)c3c2)o1; [None]; [None]; [0]
-CN(c1cccc(Br)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1ccc(O)cc1O; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1cn(C)c2ccccc12; [None]; [None]; [0]
+CN(c1ccc(O)c(F)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(N(C)c2ccc3ncn(C)c(=O)c3c2)c1; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1ccc(O)cc1O; [None]; [None]; [0]
+CN(c1ccc(F)c(Cl)c1)c1ccc2ncn(C)c(=O)c2c1; ['CNc1ccc(F)c(Cl)c1']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.99953293800354]
+CN(c1ccc2ncn(C)c(=O)c2c1)[C@H](CO)c1ccccc1; ['CN[C@H](CO)c1ccccc1']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9184964895248413]
 CN(c1ccc2ncn(C)c(=O)c2c1)c1cnn2ncccc12; [None]; [None]; [0]
-CN(COc1ccccc1Cl)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1ccc(F)c(Cl)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-Cc1ccc(O)cc1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1c[nH]c2cnccc12; [None]; [None]; [0]
+CN(CCc1ccc(Cl)cc1)c1ccc2ncn(C)c(=O)c2c1; ['CNCCc1ccc(Cl)cc1']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9999443888664246]
+CN(c1ccnc(N)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1cc(O)ccc1Cl; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
-Cc1ccc(CO)cc1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CN(COc1ccccc1Cl)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
 CN(c1cnc(O)c(Cl)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 CN(c1c[nH]c(C(N)=O)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1cc(O)ccc1Cl; [None]; [None]; [0]
 COc1cc(OC)cc(N(C)c2ccc3ncn(C)c(=O)c3c2)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 COc1ccc(N(C)c2ccc3ncn(C)c(=O)c3c2)cc1OC; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(N(C)c3ccc4ncn(C)c(=O)c4c3)ccc12; [None]; [None]; [0]
+CN(c1ccc(S(C)(=O)=O)cc1)c1ccc2ncn(C)c(=O)c2c1; ['CNc1ccc(S(C)(=O)=O)cc1']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9977601766586304]
 Cc1nc2ccc(N(C)c3ccc4ncn(C)c(=O)c4c3)cc2[nH]1; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1nc2ccccc2s1; ['CNc1nc2ccccc2s1']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9995914101600647]
 CN(c1ccc(NC(N)=O)cc1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CCOc1cccc(N(C)c2ccc3ncn(C)c(=O)c3c2)c1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(N(C)c3ccc4ncn(C)c(=O)c4c3)ccc12; [None]; [None]; [0]
 CN(c1cnc2[nH]ccc2c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1ccc(S(C)(=O)=O)cc1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1nc2ccccc2s1; [None]; [None]; [0]
 CN(c1cncc(O)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 CN(c1ccc2c(c1)CC(=O)N2)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 CNc1nccc(N(C)c2ccc3ncn(C)c(=O)c3c2)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1ccncc1Cl; [None]; [None]; [0]
+Cc1cc(O)ccc1N(C)c1ccc2ncn(C)c(=O)c2c1; ['CNc1ccc(O)cc1C']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.776464581489563]
 CCc1cc(O)c(F)cc1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-Cc1cc(O)ccc1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CCc1sccc1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1cc(Cl)c(O)c(Cl)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+Cc1n[nH]c(N(C)c2ccc3ncn(C)c(=O)c3c2)c1C; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1cc(C(F)F)n[nH]1; [None]; [None]; [0]
+CNc1nc(N(C)c2ccc3ncn(C)c(=O)c3c2)ncc1F; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1ccc(Br)cc1F; ['CNc1ccc(Br)cc1F']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9944821000099182]
 CN(c1ccc2c(c1)CCN2)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 CN(c1ccc2ncn(C)c(=O)c2c1)c1cc(O)n2nccc2n1; [None]; [None]; [0]
+CN(c1cc(Cl)c(O)c(Cl)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 Cc1oc(N(C)c2ccc3ncn(C)c(=O)c3c2)cc1C(=O)[O-]; [None]; [None]; [0]
+CCc1sccc1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 CN(c1ccc2[nH]c(=O)[nH]c2c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1ccc(Br)cc1F; [None]; [None]; [0]
-Cc1n[nH]c(N(C)c2ccc3ncn(C)c(=O)c3c2)c1C; [None]; [None]; [0]
 CN(c1ccc2ncn(C)c(=O)c2c1)c1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
 CNC(=O)c1ccc(N(C)c2ccc3ncn(C)c(=O)c3c2)cc1; [None]; [None]; [0]
 CN(c1cc(O)cc(Br)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 CN(c1ccc(C(=O)NC2CC2)cc1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
 Cc1cc(N(C)c2ccc3ncn(C)c(=O)c3c2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1cc(N(C)c2ccc3ncn(C)c(=O)c3c2)cc(C)c1O; [None]; [None]; [0]
 Cc1nc2ccc(N(C)c3ccc4ncn(C)c(=O)c4c3)cc2o1; [None]; [None]; [0]
 CN(c1cc(F)c(O)c(F)c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
-CN(c1ccc2c(=O)[nH][nH]c2c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1Br']; ['CNC(=O)c1ccccc1B(O)O', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1', 'c1ncc2[nH]cnc2n1']; [0.9993505477905273, 0.9984753131866455, 0.9963637590408325, 0.9856723546981812, 0.9700965285301208]
 CSc1cccc(N(C)c2ccc3ncn(C)c(=O)c3c2)c1; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1ocnc1-c1ccc(F)cc1; [None]; [None]; [0]
+CN(c1ccc2c(=O)[nH][nH]c2c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CCOc1ccccc1-c1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Br']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1']; [0.999967098236084, 0.9999595284461975, 0.9999330043792725, 0.999213695526123, 0.9992028474807739, 0.992355465888977]
+Cc1nnc(-c2ccccc2-c2ncnc3nc[nH]c23)[nH]1; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1N(C)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
-CN(c1ccc2ncn(C)c(=O)c2c1)c1ccc(F)cc1Cl; [None]; [None]; [0]
 CN(c1ccc2ncn(C)c(=O)c2c1)c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+CN(c1ccc2ncn(C)c(=O)c2c1)c1ocnc1-c1ccc(F)cc1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ncnc3nc[nH]c23)c1; ['Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Clc1ncnc2nc[nH]c12']; [0.999981164932251, 0.9999003410339355, 0.9996939897537231]
+COC(C)(C)CCc1ncnc2nc[nH]c12; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
+c1ccc2c(-c3ncnc4nc[nH]c34)ccnc2c1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12']; ['Clc1ncnc2nc[nH]c12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.9956259727478027, 0.993192195892334, 0.9639244675636292]
+CCn1cc(-c2ncnc3nc[nH]c23)cn1; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12']; [0.9999419450759888, 0.9995138645172119, 0.9977095723152161, 0.993815004825592]
+O=C([O-])c1ccccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Clc1ncnc2nc[nH]c12', 'FC(F)(F)Oc1ccccc1Br', 'Clc1ncnc2nc[nH]c12', 'FC(F)(F)Oc1ccccc1I']; ['OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'Clc1ncnc2nc[nH]c12', 'OB(O)c1ccccc1OC(F)(F)F', 'c1ncc2[nH]cnc2n1', 'FC(F)(F)Oc1ccccc1Br', 'c1ncc2[nH]cnc2n1']; [0.9999487400054932, 0.999829888343811, 0.9993423223495483, 0.9987888336181641, 0.9984869956970215, 0.9980983734130859, 0.9956893920898438]
+Fc1cc(F)cc(Cc2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ncnc2nc[nH]c12; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Brc1ncnc2nc[nH]c12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'NC(=O)c1ccccc1B(O)O']; ['Ic1ncnc2nc[nH]c12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Clc1ncnc2nc[nH]c12', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'c1ncc2[nH]cnc2n1']; [0.9999270439147949, 0.99986732006073, 0.998772144317627, 0.9869273900985718, 0.9698077440261841, 0.9665631055831909, 0.929375946521759, 0.8537496328353882]
+c1ccc(Cn2cc(-c3ncnc4nc[nH]c34)cn2)cc1; ['Ic1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'Brc1cnn(Cc2ccccc2)c1']; ['OB(O)c1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1', 'c1ncc2[nH]cnc2n1']; [0.9999762773513794, 0.9999366998672485, 0.999860405921936, 0.9994201064109802, 0.999009907245636, 0.9941599369049072, 0.9694086313247681]
+O=C(Nc1cccc(-c2ncnc3nc[nH]c23)c1)c1ccccc1; ['Brc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Clc1ncnc2nc[nH]c12']; [0.9999576807022095, 0.9997910261154175, 0.9996155500411987, 0.9991803169250488]
+CC(C)C(=O)COc1ncnc2nc[nH]c12; ['CC(C)C(=O)CBr']; ['Oc1ncnc2nc[nH]c12']; [0.77607661485672]
+Cn1cnc2ccc(-c3ncnc4nc[nH]c34)cc2c1=O; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2ncnc3nc[nH]c23)c1; ['Brc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ncnc2nc[nH]c12']; ['OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ncnc2nc[nH]c12', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999219179153442, 0.9998706579208374, 0.998930811882019, 0.9952619075775146]
+OCCn1cc(-c2ncnc3nc[nH]c23)cn1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3ncnc4nc[nH]c34)[nH]2)cc1; [None]; [None]; [0]
+COc1cnc(-c2ncnc3nc[nH]c23)nc1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ncnc3nc[nH]c23)cs1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
+Cc1nc(C)c(-c2ncnc3nc[nH]c23)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ncnc3nc[nH]c23)s1; [None]; [None]; [0]
+Cc1ccc(-c2ncnc3nc[nH]c23)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Brc1ncnc2nc[nH]c12', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(I)c(Br)c1']; ['Ic1ncnc2nc[nH]c12', 'Cc1ccc(B(O)O)c(Br)c1', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1']; [0.9995546340942383, 0.9989352226257324, 0.9974314570426941, 0.9713952541351318]
+Cc1nc(N)sc1-c1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12']; ['Cc1csc(N)n1']; [0.8596956729888916]
+Clc1cccc(Cl)c1-c1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'Clc1cccc(Cl)c1Br', 'Clc1ncnc2nc[nH]c12', 'Clc1cccc(Cl)c1I']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'c1ncc2[nH]cnc2n1', 'OB(O)c1c(Cl)cccc1Cl', 'c1ncc2[nH]cnc2n1']; [0.9991974830627441, 0.9990912675857544, 0.9844481945037842, 0.9651614427566528, 0.9563244581222534]
+Cc1nc2ccccn2c1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
+c1cncc(CNc2ncnc3nc[nH]c23)c1; ['Clc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'NCc1cccnc1', 'CSc1ncnc2nc[nH]c12']; ['NCc1cccnc1', 'NCc1cccnc1', 'O=c1[nH]cnc2nc[nH]c12', 'NCc1cccnc1']; [0.9999966025352478, 0.9999443292617798, 0.9999256134033203, 0.9995650053024292]
+Brc1cccc(-c2ncnc3nc[nH]c23)c1; ['Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C']; ['OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Clc1ncnc2nc[nH]c12']; [0.9999469518661499, 0.9987635612487793, 0.9987220764160156]
+c1ccn2c(-c3ncnc4nc[nH]c34)cnc2c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ncnc3nc[nH]c23)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1ncnc2nc[nH]c12', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1']; ['Ic1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'Cc1ccc(Cl)c(B(O)O)c1', 'c1ncc2[nH]cnc2n1', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12']; [0.9999593496322632, 0.9999302625656128, 0.9998472929000854, 0.9984326362609863, 0.9983479976654053, 0.9950845241546631, 0.9931701421737671]
+c1cnn2c(-c3ncnc4nc[nH]c34)cnc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3ncnc4nc[nH]c34)ccc2c1; ['Clc1ncnc2nc[nH]c12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1']; [0.9999334812164307, 0.999457061290741, 0.9294956922531128]
 Cc1c(-c2ncnc3nc[nH]c23)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(-c3ncnc4nc[nH]c34)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ncnc3nc[nH]c23)o1; [None]; [None]; [0]
+O=C(Nc1ncnc2nc[nH]c12)c1cccs1; ['Clc1ncnc2nc[nH]c12', 'Nc1ncnc2nc[nH]c12', 'Nc1ncnc2nc[nH]c12']; ['NC(=O)c1cccs1', 'O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9997957944869995, 0.9884753823280334, 0.9794971942901611]
+c1ccc2c(c1)ncn2-c1ncnc2nc[nH]c12; ['Clc1ncnc2nc[nH]c12']; ['c1ccc2[nH]cnc2c1']; [0.9988504648208618]
+c1nc(NCCc2c[nH]cn2)c2[nH]cnc2n1; ['Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'CSc1ncnc2nc[nH]c12']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.999497652053833, 0.998763382434845, 0.9968517422676086]
+c1cncc(Nc2ncnc3nc[nH]c23)c1; ['Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Ic1cccnc1', 'Ic1ncnc2nc[nH]c12', 'Nc1cccnc1', 'Brc1cccnc1']; ['Nc1cccnc1', 'Nc1cccnc1', 'Nc1ncnc2nc[nH]c12', 'Nc1cccnc1', 'O=c1[nH]cnc2nc[nH]c12', 'Nc1ncnc2nc[nH]c12']; [0.9999454021453857, 0.9999288320541382, 0.999873161315918, 0.9997337460517883, 0.9995466470718384, 0.957545280456543]
+c1cc(Cn2cncn2)cc(-c2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Clc1ncnc2nc[nH]c12']; [0.9998557567596436, 0.9430029988288879]
+c1cnn2ncc(-c3ncnc4nc[nH]c34)c2c1; ['Brc1ncnc2nc[nH]c12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Clc1ncnc2nc[nH]c12']; [0.9999841451644897, 0.9991790056228638]
+c1ccc(CCNc2ncnc3nc[nH]c23)cc1; ['Clc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CSc1ncnc2nc[nH]c12']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; [0.9997807741165161, 0.9995381236076355, 0.9978095293045044]
+c1ccc2c(-c3ncnc4nc[nH]c34)cncc2c1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Clc1ncnc2nc[nH]c12']; ['Ic1ncnc2nc[nH]c12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1cncc2ccccc12', 'Clc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1', 'c1ncc2[nH]cnc2n1', 'OB(O)c1cncc2ccccc12']; [0.9999166131019592, 0.9998016357421875, 0.9992767572402954, 0.9992064237594604, 0.9980565309524536, 0.9970072507858276, 0.9953969120979309, 0.9897042512893677]
+Nc1nccc(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
+Clc1ccc(CNc2ncnc3nc[nH]c23)cc1; ['NCc1ccc(Cl)cc1', 'Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'CSc1ncnc2nc[nH]c12']; ['O=c1[nH]cnc2nc[nH]c12', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9999890327453613, 0.9999605417251587, 0.9998977184295654, 0.9995952844619751]
+CCCn1cnc(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ncnc4nc[nH]c34)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ncnc4nc[nH]c34)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ncnc4nc[nH]c34)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2ncnc3nc[nH]c23)ccc1C(=O)[O-]; [None]; [None]; [0]
+OCc1cccc(-c2ncnc3nc[nH]c23)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12']; ['Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1']; [0.9999717473983765, 0.9987122416496277, 0.9984697699546814, 0.9904010891914368]
+Oc1cccc(-c2ncnc3nc[nH]c23)c1; ['Brc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Oc1cccc(I)c1']; ['OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1']; [0.9999629259109497, 0.9998065233230591, 0.9993342757225037, 0.9988723397254944, 0.8870320320129395, 0.7653567790985107]
+O=C([O-])Cc1cccc(-c2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3ncnc4nc[nH]c34)ccc21; [None]; [None]; [0]
+c1nc(-c2ccc(-c3cn[nH]c3)cc2)c2[nH]cnc2n1; [None]; [None]; [0]
+c1cc(Nc2ncnc3nc[nH]c23)ccn1; ['Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Nc1ccncc1', 'Brc1ccncc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'O=c1[nH]cnc2nc[nH]c12', 'Nc1ncnc2nc[nH]c12']; [0.9999902248382568, 0.999981701374054, 0.9999746680259705, 0.9968422651290894]
+Fc1ccccc1CNc1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12', 'NCc1ccccc1F', 'Clc1ncnc2nc[nH]c12', 'CSc1ncnc2nc[nH]c12']; ['NCc1ccccc1F', 'O=c1[nH]cnc2nc[nH]c12', 'NCc1ccccc1F', 'NCc1ccccc1F']; [0.9999997615814209, 0.9999979734420776, 0.9999976754188538, 0.9998579621315002]
+c1nc(-c2csc3ncncc23)c2[nH]cnc2n1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ncnc3nc[nH]c23)c1; ['Brc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; [0.9999821186065674, 0.9999330639839172, 0.9998255968093872]
 CC(C)n1cc(-c2ncnc3nc[nH]c23)nn1; [None]; [None]; [0]
+COc1cc(-c2ncnc3nc[nH]c23)ccc1C(=O)[O-]; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ncnc4nc[nH]c34)cc2c1; [None]; [None]; [0]
+CSc1nc(-c2ncnc3nc[nH]c23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
 c1nc(CCc2c[nH]nn2)c2[nH]cnc2n1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ncnc2nc[nH]c12; [None]; [None]; [0]
-O=C(Nc1ncnc2nc[nH]c12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+c1ccc(Oc2ncnc3nc[nH]c23)nc1; ['Clc1ncnc2nc[nH]c12']; ['Oc1ccccn1']; [0.7649750113487244]
+CCC(=O)Nc1ccc(-c2ncnc3nc[nH]c23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1ncnc2nc[nH]c12']; [0.9979289770126343]
+Nc1ncncc1-c1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Nc1ncncc1Br', 'Nc1ncncc1I']; ['Nc1ncncc1Br', 'Nc1ncncc1Br', 'c1ncc2[nH]cnc2n1', 'c1ncc2[nH]cnc2n1']; [0.999612033367157, 0.9989458322525024, 0.99863600730896, 0.9599129557609558]
+O=C(Nc1ncnc2nc[nH]c12)c1c(Cl)cccc1Cl; ['Brc1ncnc2nc[nH]c12', 'Nc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Nc1ncnc2nc[nH]c12']; ['NC(=O)c1c(Cl)cccc1Cl', 'O=C(Cl)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.9997191429138184, 0.9932510852813721, 0.9901003241539001, 0.967109739780426]
+Nc1nc(-c2ncnc3nc[nH]c23)cs1; [None]; [None]; [0]
+Fc1ccc(-c2ncnc3nc[nH]c23)c(C(F)(F)F)c1; ['Brc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Fc1ccc(I)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'c1ncc2[nH]cnc2n1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'c1ncc2[nH]cnc2n1']; [0.9999557733535767, 0.9999368190765381, 0.9997602701187134, 0.9995834827423096, 0.9990980625152588, 0.9990562796592712, 0.9969778060913086]
+CC(=O)Nc1cccc(-c2ncnc3nc[nH]c23)c1; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1']; [0.9998520016670227, 0.9993849396705627, 0.9965951442718506, 0.9944267272949219, 0.9919435381889343, 0.9821151494979858]
+CS(=O)(=O)C1CCN(c2ncnc3nc[nH]c23)CC1; ['Brc1ncnc2nc[nH]c12', 'CS(=O)(=O)C1CCNCC1']; ['CS(=O)(=O)C1CCNCC1', 'Clc1ncnc2nc[nH]c12']; [0.9884670972824097, 0.9829292297363281]
+CCNc1nc2ccc(-c3ncnc4nc[nH]c34)cc2s1; [None]; [None]; [0]
+Cn1cc(-c2ncnc3nc[nH]c23)c2ccccc21; ['Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; [0.9970110654830933, 0.9954330921173096]
+NC(=O)CCCc1ncnc2nc[nH]c12; [None]; [None]; [0]
 CC(C)(COc1ncnc2nc[nH]c12)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ncnc2nc[nH]c12; [None]; [None]; [0]
+COc1ccc(-c2ncnc3nc[nH]c23)cc1Cl; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'Brc1ncnc2nc[nH]c12', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'Ic1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'COc1ccc(Br)cc1Cl', 'c1ncc2[nH]cnc2n1', 'c1ncc2[nH]cnc2n1']; [0.9999958872795105, 0.9999921321868896, 0.9999920129776001, 0.9999717473983765, 0.9997701644897461, 0.9980988502502441, 0.985926628112793, 0.9770107269287109, 0.9729814529418945]
+c1ccn2ncc(-c3ncnc4nc[nH]c34)c2c1; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1ncnc2nc[nH]c12', 'Brc1cnn2ccccc12', 'Brc1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'Clc1ncnc2nc[nH]c12', 'OB(O)c1cnn2ccccc12', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1', 'c1ncc2[nH]cnc2n1']; [0.9999915361404419, 0.9999629855155945, 0.999896764755249, 0.9998192191123962, 0.9993649125099182, 0.9951874017715454, 0.9896596074104309]
+CCCn1cc(-c2ncnc3nc[nH]c23)cn1; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1']; [0.9999896287918091, 0.9998680949211121, 0.9997715353965759, 0.9994872808456421, 0.9661783576011658]
+C[S@](=O)c1ccc(-c2ncnc3nc[nH]c23)cc1; ['Brc1ncnc2nc[nH]c12']; ['CS(=O)c1ccc(B(O)O)cc1']; [0.9988409280776978]
+CCN(CC)c1ncnc2nc[nH]c12; ['CCNCC', 'Brc1ncnc2nc[nH]c12', 'CCNCC', 'CCNCC']; ['O=c1[nH]cnc2nc[nH]c12', 'CCNCC', 'Clc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12']; [0.997673511505127, 0.9975351095199585, 0.997248649597168, 0.9917832016944885]
 [NH3+]Cc1ccc(-c2ncnc3nc[nH]c23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ncnc2nc[nH]c12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-O=c1[nH]cc(Br)c2sc(-c3ncnc4nc[nH]c34)cc12; [None]; [None]; [0]
+C[C@@H](Oc1ncnc2nc[nH]c12)c1c(Cl)cncc1Cl; ['Brc1ncnc2nc[nH]c12', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'Clc1ncnc2nc[nH]c12']; [0.9995871782302856, 0.9470698237419128]
+CCNS(=O)(=O)c1ccccc1-c1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12']; ['CCNS(=O)(=O)c1ccccc1Br']; [0.9716835021972656]
+O=C1CCc2cccc(-c3ncnc4nc[nH]c34)c21; [None]; [None]; [0]
+O=c1cc(-c2ncnc3nc[nH]c23)cc[nH]1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ncnc3nc[nH]c23)cc1; [None]; [None]; [0]
+COc1cc(CCc2ncnc3nc[nH]c23)cc(OC)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ncnc3nc[nH]c23)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Clc1ncnc2nc[nH]c12']; [0.9971942901611328]
+COc1ccncc1Nc1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12', 'COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1Br', 'COc1ccncc1N']; ['COc1ccncc1N', 'Clc1ncnc2nc[nH]c12', 'Nc1ncnc2nc[nH]c12', 'Nc1ncnc2nc[nH]c12', 'O=c1[nH]cnc2nc[nH]c12']; [0.9999952912330627, 0.9999935626983643, 0.9999631643295288, 0.9999374151229858, 0.9998913407325745]
+c1ccc2ncc(Nc3ncnc4nc[nH]c34)cc2c1; ['Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Nc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'O=c1[nH]cnc2nc[nH]c12', 'Nc1ncnc2nc[nH]c12', 'Nc1ncnc2nc[nH]c12']; [0.999994158744812, 0.9999651908874512, 0.99970543384552, 0.9960424900054932, 0.9899357557296753]
+COc1cccc(F)c1-c1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'Clc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1', 'c1ncc2[nH]cnc2n1']; [0.9999948740005493, 0.9999846816062927, 0.9998782873153687, 0.9998732805252075, 0.9998193383216858, 0.9965188503265381, 0.9658454656600952]
+O=c1[nH]ccc2oc(-c3ncnc4nc[nH]c34)cc12; [None]; [None]; [0]
 c1ccc(-c2ccncc2Nc2ncnc3nc[nH]c23)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
+O=c1[nH]cc(Br)c2sc(-c3ncnc4nc[nH]c34)cc12; [None]; [None]; [0]
+c1cc2c(-c3ncnc4nc[nH]c34)c[nH]c2cn1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
+c1nc(-c2cnc3[nH]ccc3c2)c2[nH]cnc2n1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnc3nc[nH]c23)cc1; ['Brc1ncnc2nc[nH]c12', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ncnc2nc[nH]c12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ncnc2nc[nH]c12']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2nc[nH]c12', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [0.9999256134033203, 0.9992043972015381, 0.9991073608398438, 0.9980378150939941, 0.9878013134002686, 0.8231912851333618]
+CNS(=O)(=O)c1ccc(-c2ncnc3nc[nH]c23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ncnc2nc[nH]c12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ncnc2nc[nH]c12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Ic1ncnc2nc[nH]c12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ncnc2nc[nH]c12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12']; [0.999945878982544, 0.9997757077217102, 0.9984291791915894, 0.998116135597229, 0.9979404807090759, 0.9918078780174255]
+c1nc(-c2ccc(N3CCOCC3)cc2)c2[nH]cnc2n1; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Clc1ncnc2nc[nH]c12', 'Brc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ncnc2nc[nH]c12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'c1ncc2[nH]cnc2n1']; [0.9999943375587463, 0.9999792575836182, 0.9995090961456299, 0.9987696409225464, 0.8232808113098145]
+CC1(c2ncnc3nc[nH]c23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1ncnc2nc[nH]c12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ncnc3nc[nH]c23)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Brc1ncnc2nc[nH]c12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ncnc2nc[nH]c12', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Ic1ncnc2nc[nH]c12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Clc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2nc[nH]c12']; [0.999997615814209, 0.999994158744812, 0.9998971223831177, 0.9998407959938049, 0.9997395277023315, 0.9977984428405762]
 C[C@H](Nc1ncnc2nc[nH]c12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@H](Nc1ncnc2nc[nH]c12)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'CSc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12']; ['O=c1[nH]cnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Oc1ncnc2nc[nH]c12', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; [0.9987179040908813, 0.9982618093490601, 0.9980130195617676, 0.9973658323287964, 0.996636688709259, 0.9953568577766418]
+C[C@@H](Nc1ncnc2nc[nH]c12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'CSc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12']; ['O=c1[nH]cnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; [0.9987179040908813, 0.9980130195617676, 0.996636688709259, 0.9953568577766418]
+OCCc1cn(-c2ncnc3nc[nH]c23)cn1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1ncnc2nc[nH]c12; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Clc1ncnc2nc[nH]c12', 'Fc1cccc(Cl)c1I']; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'OB(O)c1c(F)cccc1Cl', 'Ic1ncnc2nc[nH]c12', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1', 'OB(O)c1c(F)cccc1Cl', 'c1ncc2[nH]cnc2n1']; [0.9999879598617554, 0.9999653697013855, 0.9999651908874512, 0.9998995661735535, 0.9998237490653992, 0.9995447397232056, 0.9990873336791992, 0.9984778761863708, 0.9927006959915161]
+OCc1ccn(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ncnc2nc[nH]c12; ['Clc1ncnc2nc[nH]c12']; ['Oc1cccc2[nH]ncc12']; [0.9531297087669373]
+Cc1cc(-c2ncnc3nc[nH]c23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1ncnc2nc[nH]c12; [None]; [None]; [0]
+c1nc(-c2ccc(-n3cncn3)cc2)c2[nH]cnc2n1; [None]; [None]; [0]
+Oc1ccc2nc(-c3ncnc4nc[nH]c34)[nH]c2c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ncnc3nc[nH]c23)cc1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Clc1ncnc2nc[nH]c12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; ['Ic1ncnc2nc[nH]c12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Clc1ncnc2nc[nH]c12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'c1ncc2[nH]cnc2n1']; [0.9999655485153198, 0.9999425411224365, 0.9994531273841858, 0.999176025390625, 0.9983747005462646, 0.9871472120285034, 0.9810209274291992]
+COc1ccc(-c2ncnc3nc[nH]c23)c(OC)c1; ['Brc1ncnc2nc[nH]c12', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Brc1ncnc2nc[nH]c12', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Brc1ncnc2nc[nH]c12', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['COc1ccc(B(O)O)c(OC)c1', 'Ic1ncnc2nc[nH]c12', 'Ic1ncnc2nc[nH]c12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'COc1ccc(Br)c(OC)c1', 'c1ncc2[nH]cnc2n1', 'c1ncc2[nH]cnc2n1']; [0.9999938011169434, 0.9999905228614807, 0.99998939037323, 0.9999867677688599, 0.9999751448631287, 0.9998252391815186, 0.9992426633834839, 0.9987916350364685, 0.9985215663909912]
+CSc1nc(C)c(-c2ncnc3nc[nH]c23)[nH]1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
+c1nc(-c2nncn2C2CC2)c2[nH]cnc2n1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ncnc3nc[nH]c23)CC1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ncnc5nc[nH]c45)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1ncnc2nc[nH]c12)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1ncnc2nc[nH]c12)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ncnc4nc[nH]c34)nn2)cc1; [None]; [None]; [0]
+CCc1cc(-c2ncnc3nc[nH]c23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ncnc3nc[nH]c23)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2ncnc3nc[nH]c23)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncnc3nc[nH]c23)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2ncnc3nc[nH]c23)c(F)c1; [None]; [None]; [0]
+c1cc(-c2ncnc3nc[nH]c23)c2sccc2c1; ['Brc1ncnc2nc[nH]c12', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Clc1ncnc2nc[nH]c12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999963641166687, 0.9996131658554077, 0.998584508895874, 0.9723190069198608]
+C[C@@H2]NC(=O)N1CCC(c2ncnc3nc[nH]c23)CC1; [None]; [None]; [0]
+c1ccc2sc(-c3ncnc4nc[nH]c34)nc2c1; [None]; [None]; [0]
+c1cc(-c2ncnc3nc[nH]c23)c2snnc2c1; ['Brc1cccc2nnsc12']; ['c1ncc2[nH]cnc2n1']; [0.9207368493080139]
 CC1(C)Oc2ccc(-c3ncnc4nc[nH]c34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncnc4nc[nH]c34)c2)cc1; [None]; [None]; [0]
-c1cc(-c2ncnc3nc[nH]c23)c2snnc2c1; [None]; [None]; [0]
-COc1ccc(Oc2ncnc3nc[nH]c23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
+[NH3+]Cc1ccc(Oc2ncnc3nc[nH]c23)c(F)c1; [None]; [None]; [0]
+Nc1cncc(-c2ncnc3nc[nH]c23)n1; [None]; [None]; [0]
+c1ccc2nc(-c3ncnc4nc[nH]c34)ncc2c1; [None]; [None]; [0]
+c1cnc2c(-c3ncnc4nc[nH]c34)c[nH]c2c1; [None]; [None]; [0]
+Nc1nc(-c2ncnc3nc[nH]c23)nc2ccccc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ncnc3nc[nH]c23)[nH]1; [None]; [None]; [0]
+c1nc(-c2ncc3cc[nH]c3n2)c2[nH]cnc2n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ncnc2nc[nH]c12; [None]; [None]; [0]
+COc1ccc(Oc2ncnc3nc[nH]c23)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Clc1ncnc2nc[nH]c12']; [0.9766747951507568]
+COc1ccc(OC)c(-c2ncnc3nc[nH]c23)c1; ['Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1']; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1', 'Clc1ncnc2nc[nH]c12', 'c1ncc2[nH]cnc2n1', 'c1ncc2[nH]cnc2n1']; [0.9999395608901978, 0.9999393820762634, 0.9999237060546875, 0.9970043301582336, 0.9943100214004517, 0.9902864098548889, 0.9764046669006348, 0.9628168344497681]
+OCCn1cnc(-c2ncnc3nc[nH]c23)c1; [None]; [None]; [0]
+COc1ncccc1-c1ncnc2nc[nH]c12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Brc1ncnc2nc[nH]c12', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; ['Ic1ncnc2nc[nH]c12', 'COc1ncccc1B(O)O', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12']; [0.999955415725708, 0.9996110796928406, 0.9985382556915283, 0.9985024333000183]
+c1ccc2[nH]c(C3CCN(c4ncnc5nc[nH]c45)CC3)nc2c1; ['Brc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'O=c1[nH]cnc2nc[nH]c12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9998977184295654, 0.9990787506103516, 0.9984245300292969]
+CN(C)S(=O)(=O)c1cccc(-c2ncnc3nc[nH]c23)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ncnc2nc[nH]c12', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Ic1ncnc2nc[nH]c12', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Ic1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'Clc1ncnc2nc[nH]c12', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'Clc1ncnc2nc[nH]c12']; [0.9999936819076538, 0.9999912977218628, 0.9999663829803467, 0.9999460577964783, 0.9996511936187744, 0.9995403289794922, 0.9922691583633423, 0.9902278184890747]
+CN(C)c1cc(-c2ncnc3nc[nH]c23)cnn1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ncnc3nc[nH]c23)C1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ncnc3nc[nH]c23)c1)C1CCNCC1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ncnc3nc[nH]c23)CC1; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 CCOc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 c1ccc2nc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ncc2c1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
 COc1ncccc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
 COc1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc(OC)c1OC; [None]; [None]; [0]
+COc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 Cc1ccc2ncn(-c3cn4c(-c5cn[nH]c5)cnc4cn3)c2c1; [None]; [None]; [0]
-c1cnn2c(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cnc2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
 Oc1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
-COc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
+c1cnn2c(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cnc2c1; [None]; [None]; [0]
 c1cc(N2CCOCC2)ccc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
+Cc1cc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)sn1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1)C1CC1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2)CC1; [None]; [None]; [0]
 c1ccc2[nH]c(-c3cn4c(-c5cn[nH]c5)cnc4cn3)nc2c1; [None]; [None]; [0]
-Cc1cc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)sn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cn2)c1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2)CC1; [None]; [None]; [0]
 c1cnc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)nc1; [None]; [None]; [0]
-c1ccc2c(Cc3cn4c(-c5cn[nH]c5)cnc4cn3)nccc2c1; [None]; [None]; [0]
+c1ccc2c(-c3cn4c(-c5cn[nH]c5)cnc4cn3)nccc2c1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 OCCOc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
-c1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc(C2CCNCC2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cn2)c1; [None]; [None]; [0]
+c1cc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)ncn1; [None]; [None]; [0]
 O=C(c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1)N1CCOCC1; [None]; [None]; [0]
 O=C(c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)nc1)N1CCOCC1; [None]; [None]; [0]
-c1cc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)ncn1; [None]; [None]; [0]
+c1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc(C2CCNCC2)c1; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2C1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 CN(C)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cn3c(-c4cn[nH]c4)cnc3cn2)CC1; [None]; [None]; [0]
 Cc1nc(C)c(-c2cn3c(-c4cn[nH]c4)cnc3cn2)s1; [None]; [None]; [0]
-Nc1ncc(Cc2cn3c(-c4cn[nH]c4)cnc3cn2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2cn3c(-c4cn[nH]c4)cnc3cn2)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)nc(N)n1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2cn3c(-c4cn[nH]c4)cnc3cn2)C1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cn3c(-c4cn[nH]c4)cnc3cn2)CC1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)nc1; [None]; [None]; [0]
+Brc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 CN(C)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
-Brc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
+c1cc2nc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ccn2n1; [None]; [None]; [0]
 c1ccc2c(-c3cn4c(-c5cn[nH]c5)cnc4cn3)c[nH]c2c1; [None]; [None]; [0]
 COc1cc(OC)c(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1Cl; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
 c1cc2c(cc1-c1cn3c(-c4cn[nH]c4)cnc3cn1)CCO2; [None]; [None]; [0]
-c1ccc2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ncc2c1; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
+c1cc2c(c(-c3cn4c(-c5cn[nH]c5)cnc4cn3)c1)OCO2; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)n[nH]2)cc1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
+c1ccc2ncc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2c1; [None]; [None]; [0]
 COc1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)ccc1O; [None]; [None]; [0]
-c1cc2c(c(-c3cn4c(-c5cn[nH]c5)cnc4cn3)c1)OCO2; [None]; [None]; [0]
-c1n[nH]cc1-c1cnc2cnc(-c3scc4c3OCCO4)cn12; [None]; [None]; [0]
+c1ccc(-c2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)n[nH]2)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
-c1ccc2ncc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
+c1n[nH]cc1-c1cnc2cnc(-c3scc4c3OCCO4)cn12; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cn1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cn4c(-c5cn[nH]c5)cnc4cn3)nc2c1F; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cn3c(-c4cn[nH]c4)cnc3cn2)CC1; [None]; [None]; [0]
-CC1(COc2cn3c(-c4cn[nH]c4)cnc3cn2)COC1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
-Cc1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)nc(N)n1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)n2)c1; [None]; [None]; [0]
+Nc1nc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cs1; [None]; [None]; [0]
+CC1(COc2cn3c(-c4cn[nH]c4)cnc3cn2)COC1; [None]; [None]; [0]
+CSc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cn3c(-c4cn[nH]c4)cnc3cn2)CC1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
+COc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1OC; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2)CC1; [None]; [None]; [0]
-CSc1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
-Brc1cnc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)nc1; [None]; [None]; [0]
-Fc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c(Cl)c1; [None]; [None]; [0]
 CCc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1OC; [None]; [None]; [0]
-COc1ccc(CNc2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
-c1ncn(CCCc2cn3c(-c4cn[nH]c4)cnc3cn2)n1; [None]; [None]; [0]
+O=C1CCc2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ccc2N1; [None]; [None]; [0]
+Fc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c(Cl)c1; [None]; [None]; [0]
+Brc1cnc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)nc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
+Cc1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)nc(N)n1; [None]; [None]; [0]
 Clc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c(Cl)c1; [None]; [None]; [0]
-O=C(C1CC1)N1CC(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)C1; [None]; [None]; [0]
-c1cc2cnc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)nn2c1; [None]; [None]; [0]
+COc1ccc(CNc2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 COc1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)ccc1N1CCOCC1; [None]; [None]; [0]
 c1ccn2nc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2c1; [None]; [None]; [0]
-Cn1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ccc2O1; [None]; [None]; [0]
-Oc1ccc2cccc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)c2c1; [None]; [None]; [0]
+O=C(C1CC1)N1CC(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)C1; [None]; [None]; [0]
+c1cc2cnc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)nn2c1; [None]; [None]; [0]
 COc1ccc2cccc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)c2c1; [None]; [None]; [0]
+Cn1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c(C(F)(F)F)n1; [None]; [None]; [0]
 COc1cc(F)c(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1OC; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ccc2O1; [None]; [None]; [0]
 COc1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)ccc1Cl; [None]; [None]; [0]
+Oc1ccc2cccc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)c2c1; [None]; [None]; [0]
+OCCn1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cn1; [None]; [None]; [0]
 Clc1cnc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)nc1; [None]; [None]; [0]
-Cc1csc2c(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ncnc12; [None]; [None]; [0]
-Cc1nc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)sc1C; [None]; [None]; [0]
 Cc1cc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)nn1C; [None]; [None]; [0]
+Cc1csc2c(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 Nc1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c2cc[nH]c2n1; [None]; [None]; [0]
+Cc1nc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)sc1C; [None]; [None]; [0]
+O=C(Nc1cn2c(-c3cn[nH]c3)cnc2cn1)c1ccco1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)nc1; [None]; [None]; [0]
 COc1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 O=S(=O)(CCO)c1ccc(Cc2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
-O=C(Nc1cn2c(-c3cn[nH]c3)cnc2cn1)c1ccco1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2cn3c(-c4cn[nH]c4)cnc3cn2)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2cn3c(-c4cn[nH]c4)cnc3cn2)CC1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
 COc1cc(OC)cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cn3c(-c4cn[nH]c4)cnc3cn1)cn2C; [None]; [None]; [0]
 COc1ccc2oc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2c1; [None]; [None]; [0]
-c1cc2cn[nH]c2cc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(C(=O)Nc2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
+c1cc2cn[nH]c2cc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
 CCn1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cn1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
 c1cncc(-c2ccnc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)c2)c1; [None]; [None]; [0]
 c1ccc2oc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2c1; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 c1cc2nc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ncc2s1; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1)N1CCCC1; [None]; [None]; [0]
 COc1ccc2nc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 Cn1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c2ccccc21; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)n1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)[nH]c2c1; [None]; [None]; [0]
 c1n[nH]cc1-c1cnc2cnc(-c3ncn4c3CCCC4)cn12; [None]; [None]; [0]
 Cc1cc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1ncc2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ccc21; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ccc21; [None]; [None]; [0]
 CN(C)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cn1; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)ccc12; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cn2)CC1; [None]; [None]; [0]
 O=C1CCCN1c1cccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
 OCCc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 O=C(Nc1cn2c(-c3cn[nH]c3)cnc2cn1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c(Cl)c1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cn2)CC1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cn4c(-c5cn[nH]c5)cnc4cn3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
-Fc1ccc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)nc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)nc1; [None]; [None]; [0]
 Cc1cc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)ncc1F; [None]; [None]; [0]
 c1ccc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)nc1; [None]; [None]; [0]
+Fc1ccc(Nc2cn3c(-c4cn[nH]c4)cnc3cn2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cn3c(-c4cn[nH]c4)cnc3cn2)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
+CCOc1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [0.9999998807907104, 0.9999973773956299, 0.9947012662887573]
 Cc1ccc(C(=O)NCCO)cc1-c1cn2c(-c3cn[nH]c3)cnc2cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cn3c(-c4cn[nH]c4)cnc3cn2)c1; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
+COc1ncccc1-c1cn2ccnc2c(N)n1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1Br', 'COc1ncccc1Cl', 'COc1ncccc1I']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12', 'Nc1nccn2ccnc12', 'Nc1nccn2ccnc12']; [0.9999879002571106, 0.9997134208679199, 0.9895070791244507, 0.9767900705337524, 0.941054105758667, 0.9137978553771973]
+CS(=O)(=O)c1cccc(-c2cn3ccnc3c(N)n2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 0.9999951124191284, 0.9993942975997925]
 Nc1nc(-c2ncc3ccccc3n2)cn2ccnc12; [None]; [None]; [0]
+COc1cc(-c2cn3ccnc3c(N)n2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999856948852539, 0.9999797344207764, 0.9953140616416931, 0.9936527013778687]
+Cc1ccc2ncn(-c3cn4ccnc4c(N)n3)c2c1; ['Cc1ccc2nc[nH]c2c1']; ['Nc1nc(Br)cn2ccnc12']; [0.999432384967804]
+Nc1nc(-c2cccc(O)c2)cn2ccnc12; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cccc(O)c1']; [0.9999988079071045, 0.9999372959136963]
 Cc1nc(C(C)(C)O)sc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-COc1ncccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
+COc1ccc(-c2cn3ccnc3c(N)n2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999997615814209, 0.9999812245368958, 0.9868535995483398, 0.978547215461731]
+N#Cc1ccc(O)c(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
 Nc1nc(-c2cnc3cccnn23)cn2ccnc12; [None]; [None]; [0]
-COc1cc(-c2cn3ccnc3c(N)n2)cc(OC)c1OC; [None]; [None]; [0]
-Nc1nc(-c2cccc(O)c2)cn2ccnc12; [None]; [None]; [0]
-COc1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
 Nc1nc(-c2ccc(N3CCOCC3)cc2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cccc(NC(=O)C3CC3)c2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2ccc(C(=O)[O-])cc2)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(-c2nc3ccccc3[nH]2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2cccc(NC(=O)C3CC3)c2)cn2ccnc12; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['NC(=O)c1ccc(B(O)O)cc1']; ['Nc1nc(Br)cn2ccnc12']; [0.9999749660491943]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cn4ccnc4c(N)n3)cc2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cn3ccnc3c(N)n2)cn1; [None]; [None]; [0]
-Nc1nc(-c2ccc(C(=O)[O-])cc2)cn2ccnc12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
 Nc1nc(Nc2ncccn2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2ccc(C(=O)Nc3ccccc3)cc2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(Cc2nccc3ccccc23)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2ccc(OCCO)cc2)cn2ccnc12; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
+Nc1nc(-c2nccc3ccccc23)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(-c2cccc(C3CCNCC3)c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2ccc(C(=O)N3CCOCC3)cc2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2ccc(C(=O)N3CCOCC3)cn2)cn2ccnc12; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999997019767761, 0.9999889135360718]
+Nc1nc(-c2ccc(C(=O)Nc3ccccc3)cc2)cn2ccnc12; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [1.0, 0.9999983310699463, 0.999028205871582]
+N#Cc1cccc(Cn2cc(-c3cn4ccnc4c(N)n3)cn2)c1; [None]; [None]; [0]
+Nc1nc(-c2ccc(OCCO)cc2)cn2ccnc12; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OCCOc1ccc(B(O)O)cc1']; [0.999998927116394, 0.9999616146087646]
+Nc1nc(-c2ccc(C(=O)N3CCOCC3)cc2)cn2ccnc12; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 0.9999997615814209, 0.9999970197677612, 0.9998126029968262]
+Nc1nc(-c2ccc(C(F)(F)F)cc2)cn2ccnc12; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1nccn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 0.9999961256980896, 0.9998639225959778, 0.9988204836845398]
+CNS(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999984502792358, 0.999898374080658, 0.7585279941558838]
+CN(C)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [1.0, 0.9999884963035583, 0.9948049783706665, 0.9883968830108643]
 C[C@H](O)COc1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
+Nc1nc(-c2ccc(C(=O)N3CCOCC3)cn2)cn2ccnc12; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
 Nc1nc(-c2ccc3c(c2)CS(=O)(=O)C3)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2ccc(C(F)(F)F)cc2)cn2ccnc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999997615814209, 0.9999840259552002, 0.9961713552474976]
 Cc1nc(C)c(-c2cn3ccnc3c(N)n2)s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cn3ccnc3c(N)n2)CC1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9998745322227478, 0.940837025642395]
+Nc1nc(Cc2ccccc2O)cn2ccnc12; [None]; [None]; [0]
 Nc1nc([C@H]2CCN(C(=O)c3ccccc3)C2)cn2ccnc12; [None]; [None]; [0]
-CC(C)c1cc(-c2cn3ccnc3c(N)n2)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
+Nc1nc(-c2ccc(Br)cc2)cn2ccnc12; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Brc1ccc(I)cc1', 'Brc1ccc(Br)cc1']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccc(Br)cc1', 'Nc1nccn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999980926513672, 0.9996174573898315, 0.9993703961372375, 0.9041517972946167]
+Nc1ncc(Cc2cn3ccnc3c(N)n2)cn1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cn3ccnc3c(N)n2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cn3ccnc3c(N)n2)nc1; [None]; [None]; [0]
+CC(C)c1cc(-c2cn3ccnc3c(N)n2)nc(N)n1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cn4ccnc4c(N)n3)c2)CC1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cn3ccnc3c(N)n2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [1.0, 0.9881478548049927, 0.9743949174880981]
+CCN(CC)C(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 0.9999987483024597, 0.999727725982666]
 Cc1c(C(=O)[O-])cccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(-c2ccc(Br)cc2)cn2ccnc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cn3ccnc3c(N)n2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(-c2c[nH]c3ccccc23)cn2ccnc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999906420707703, 0.9998603463172913, 0.997539758682251]
+COc1ccc(Cl)cc1-c1cn2ccnc2c(N)n1; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.999997615814209, 0.9999822378158569]
+Nc1nc(-c2c[nH]c3ccccc23)cn2ccnc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999845027923584, 0.9997000694274902]
+Nc1nc(-c2ccccc2-n2cccn2)cn2ccnc12; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Brc1ccccc1-n1cccn1', 'Clc1ccccc1-n1cccn1']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccccc1-n1cccn1', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [0.9999995231628418, 0.9999977946281433, 0.9999853372573853, 0.9281361103057861]
+COc1ccc(Cc2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
 COc1cc(OC)c(-c2cn3ccnc3c(N)n2)cc1Cl; [None]; [None]; [0]
+COc1cc(-c2cn3ccnc3c(N)n2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999982118606567, 0.9992759227752686]
+Nc1nc(-c2ccc3c(c2)CCO3)cn2ccnc12; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Ic1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1nccn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999991655349731, 0.9999917149543762, 0.9987051486968994, 0.9968627095222473]
+Nc1nc(-c2ccn3nccc3n2)cn2ccnc12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cn3ccnc3c(N)n2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999991655349731, 0.9999809265136719]
+Nc1nc(-c2cccc3c2OCO3)cn2ccnc12; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Ic1cccc2c1OCO2']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cccc2c1OCO2', 'Nc1nccn2ccnc12']; [0.9999938011169434, 0.9996168613433838, 0.9951509237289429]
 CC(C)c1ccc2nc(-c3cn4ccnc4c(N)n3)[nH]c2c1; [None]; [None]; [0]
-Nc1nc(-c2ccc3c(c2)CCO3)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cc3ccccc3cn2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cc(-c3ccccc3)[nH]n2)cn2ccnc12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-COc1cc(-c2cn3ccnc3c(N)n2)ccc1O; [None]; [None]; [0]
-Nc1nc(-c2cccc3c2OCO3)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2cc(-c3ccccc3)[nH]n2)cn2ccnc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 0.9999932050704956, 0.9983843564987183, 0.9937002658843994]
+Nc1nc(-c2cnc3ccccc3c2)cn2ccnc12; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Brc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cnc2ccccc2c1', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [1.0, 0.9999982118606567, 0.9996018409729004, 0.9985836744308472]
+CN(C)C(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 0.9999935030937195]
+CC(C)(C)c1ccc(-c2cn3ccnc3c(N)n2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 0.9999987483024597, 0.9996637105941772]
+Nc1nc(Cc2nc3ccc(F)c(F)c3[nH]2)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(-c2scc3c2OCCO3)cn2ccnc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-Nc1nc(-c2cnc3ccccc3c2)cn2ccnc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cn3ccnc3c(N)n2)cn1; [None]; [None]; [0]
+Nc1nc(Cc2nc3c(F)c(F)ccc3[nH]2)cn2ccnc12; [None]; [None]; [0]
+Cc1ccc(-c2cn3ccnc3c(N)n2)c(=O)[nH]1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cn3ccnc3c(N)n2)c1; ['COc1cccc(C(N)=O)c1']; ['Nc1nc(Br)cn2ccnc12']; [0.9995501041412354]
+Nc1nc(Cc2nc3ccccc3[nH]2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2cc3ccccc3s2)cn2ccnc12; ['Nc1nc(Br)cn2ccnc12']; ['OB(O)c1cc2ccccc2s1']; [0.9999995231628418]
 CC(=O)N[C@@H]1CC[C@@H](c2cn3ccnc3c(N)n2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999994039535522, 0.9999474287033081]
+Nc1nc(CCCc2ccccc2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2cn3ccnc3c(N)n2)cs1; [None]; [None]; [0]
+Nc1nc(-c2ccn(-c3cccc(Cl)c3)n2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2ccc(F)cc2Cl)cn2ccnc12; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccc(F)cc1Cl']; [0.9999966621398926, 0.9999631643295288]
+Nc1nc(-c2ncc(Br)cn2)cn2ccnc12; [None]; [None]; [0]
+CCc1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999995827674866, 0.9999722242355347]
+COc1ccc(-c2cn3ccnc3c(N)n2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [0.999998927116394, 0.9999730587005615, 0.9938446283340454]
 CCN1CCN(Cc2ccc(-c3cn4ccnc4c(N)n3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cn3ccnc3c(N)n2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
 CC[C@@H](CO)c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(-c2ccc(F)cc2Cl)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2ncc(Br)cn2)cn2ccnc12; [None]; [None]; [0]
-COc1ccc(-c2cn3ccnc3c(N)n2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-Nc1nc(-c2ccc(Cl)cc2Cl)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2ccc3c(c2)CCC(=O)N3)cn2ccnc12; [None]; [None]; [0]
+Cc1cc(-c2cn3ccnc3c(N)n2)nc(N)n1; [None]; [None]; [0]
+Nc1nc(-c2ccc(Cl)cc2Cl)cn2ccnc12; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9999938011169434, 0.9999651908874512]
+Nc1nc([C@H](CO)Cc2ccccc2)cn2ccnc12; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
+COc1cc(-c2cn3ccnc3c(N)n2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [0.9999991655349731, 0.9991186857223511, 0.9935067892074585]
+Nc1nc(-c2cccc3ccc(O)cc23)cn2ccnc12; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1nc(Br)cn2ccnc12']; [0.9999830722808838]
 Nc1nc(-c2ncc3cccn3n2)cn2ccnc12; [None]; [None]; [0]
-COc1cc(-c2cn3ccnc3c(N)n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1nc(-c2cc3ccccn3n2)cn2ccnc12; [None]; [None]; [0]
-Cn1cc(-c2cn3ccnc3c(N)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
+Cn1cc(-c2cn3ccnc3c(N)n2)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999983310699463, 0.9999971389770508]
+Nc1nc(CCCn2cncn2)cn2ccnc12; [None]; [None]; [0]
 CC1(C)Cc2cc(-c3cn4ccnc4c(N)n3)ccc2O1; [None]; [None]; [0]
 COc1ccc2cccc(-c3cn4ccnc4c(N)n3)c2c1; [None]; [None]; [0]
-Nc1nc(-c2cccc3ccc(O)cc23)cn2ccnc12; [None]; [None]; [0]
-COc1cc(F)c(-c2cn3ccnc3c(N)n2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cn3ccnc3c(N)n2)ccc1Cl; [None]; [None]; [0]
+COc1cc(F)c(-c2cn3ccnc3c(N)n2)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999998211860657, 0.9999995231628418]
+COc1cc(-c2cn3ccnc3c(N)n2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [1.0, 0.9999924898147583, 0.9995629787445068]
+Nc1nc(-c2cnn(CCO)c2)cn2ccnc12; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OCCn1cc(B(O)O)cn1']; [0.9999676942825317, 0.9988678693771362]
 Nc1nc(-c2ncc(Cl)cn2)cn2ccnc12; [None]; [None]; [0]
-Cc1csc2c(-c3cn4ccnc4c(N)n3)ncnc12; [None]; [None]; [0]
+Nc1nc(-c2cc3ccccn3n2)cn2ccnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
 Nc1cc(-c2cn3ccnc3c(N)n2)c2cc[nH]c2n1; [None]; [None]; [0]
+Cc1csc2c(-c3cn4ccnc4c(N)n3)ncnc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cn3ccnc3c(N)n2)nc1; [None]; [None]; [0]
+Nc1nc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cn2ccnc12; [None]; [None]; [0]
 COc1cc(-c2cn3ccnc3c(N)n2)c(OC)cc1Br; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cn3ccnc3c(N)n2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [0.9999958872795105, 0.9999924898147583, 0.9970421195030212]
+Nc1nc(-c2ccc3cn[nH]c3c2)cn2ccnc12; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccc2cn[nH]c2c1']; [1.0, 0.9999996423721313]
+COc1ccc2oc(-c3cn4ccnc4c(N)n3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1']; ['Nc1nc(Br)cn2ccnc12']; [0.9999737739562988]
+CCn1cc(-c2cn3ccnc3c(N)n2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999995231628418, 0.9999500513076782]
 COc1cc(CS(C)(=O)=O)ccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cn3ccnc3c(N)n1)cn2C; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2cn3ccnc3c(N)n2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cn3ccnc3c(N)n2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['Nc1nc(Br)cn2ccnc12']; [0.9784464836120605]
 CCNC(=O)N1CCC(c2cn3ccnc3c(N)n2)CC1; [None]; [None]; [0]
-Nc1nc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cn2ccnc12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cn3ccnc3c(N)n1)cn2C; [None]; [None]; [0]
-COc1ccc2oc(-c3cn4ccnc4c(N)n3)cc2c1; [None]; [None]; [0]
-Nc1nc(-c2ccc3cn[nH]c3c2)cn2ccnc12; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cn2ccnc2c(N)n1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1nc(Br)cn2ccnc12']; [0.9999996423721313]
 C[NH+](C)Cc1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
-Nc1nc(-c2cc(-c3cccnc3)ccn2)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(-c2cc3ccccc3o2)cn2ccnc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-Nc1nc(-c2ncc3sccc3n2)cn2ccnc12; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-Nc1nc(-c2cccc(NC(=O)N3CCCC3)c2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2ccc(OC(F)(F)F)cc2)cn2ccnc12; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [1.0, 0.9999997019767761]
 COc1ccc2nc(-c3cn4ccnc4c(N)n3)[nH]c2c1; [None]; [None]; [0]
-Nc1nc(-c2ccc(OC(F)(F)F)cc2)cn2ccnc12; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
-Cn1cc(-c2cn3ccnc3c(N)n2)c2ccccc21; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cn4ccnc4c(N)n3)[nH]c2c1; [None]; [None]; [0]
+Nc1nc(-c2cc(-c3cccnc3)ccn2)cn2ccnc12; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cn3ccnc3c(N)n2)c1; ['COc1ccc(F)c(C(N)=O)c1']; ['Nc1nc(Br)cn2ccnc12']; [0.9998871088027954]
+Cn1cc(-c2cn3ccnc3c(N)n2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1nc(Br)cn2ccnc12']; [0.9999980330467224]
+Nc1nc(-c2cccc(NC(=O)N3CCCC3)c2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2ncc3sccc3n2)cn2ccnc12; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cn4ccnc4c(N)n3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 0.9999997019767761]
+CN(C)c1ccc(-c2cn3ccnc3c(N)n2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [1.0, 0.9999986886978149, 0.9993276596069336, 0.9988343119621277]
+Cc1cc(-c2cn3ccnc3c(N)n2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cn4ccnc4c(N)n3)ccc21; [None]; [None]; [0]
+Cn1ncc2cc(-c3cn4ccnc4c(N)n3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 1.0]
+CC(=O)N1CCC(n2cc(-c3cn4ccnc4c(N)n3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Nc1nc(Br)cn2ccnc12']; [0.9999994039535522]
 CCc1cccc(-c2cn3ccnc3c(N)n2)n1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cn4ccnc4c(N)n3)[nH]c2c1; [None]; [None]; [0]
 Nc1nc(-c2ncn3c2CCCC3)cn2ccnc12; [None]; [None]; [0]
-Cc1cc(-c2cn3ccnc3c(N)n2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2cn3ccnc3c(N)n2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cn4ccnc4c(N)n3)ccc12; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cn4ccnc4c(N)n3)cn2)CC1; [None]; [None]; [0]
-Nc1nc(-c2cccc(N3CCCC3=O)c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(NC(=O)c2cccc(OC(F)(F)F)c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2ccc(CCO)cc2)cn2ccnc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cn3ccnc3c(N)n2)c(Cl)c1; [None]; [None]; [0]
+Nc1nc(-c2cccc(N3CCCC3=O)c2)cn2ccnc12; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'O=C1CCCN1c1cccc(Br)c1']; [0.999998927116394, 0.9963864088058472]
+Nc1nc(NC(=O)c2cccc(OC(F)(F)F)c2)cn2ccnc12; ['NC(=O)c1cccc(OC(F)(F)F)c1']; ['Nc1nc(Br)cn2ccnc12']; [0.9999956488609314]
+Nc1nc(-c2ccc(CCO)cc2)cn2ccnc12; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Br)cc1']; [0.9999985694885254, 0.9999479651451111, 0.9803379774093628]
 Cc1ncc(-c2ccc(-c3cn4ccnc4c(N)n3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cn3ccnc3c(N)n2)c(Cl)c1; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cn3ccnc3c(N)n2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.999997079372406, 0.9972474575042725]
+CCNC(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1nc(Br)cn2ccnc12']; [0.9999967813491821]
+CCNC(=O)Cc1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cn3ccnc3c(N)n2)c(OC)c1; [None]; [None]; [0]
-Cn1nc(-c2cn3ccnc3c(N)n2)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cn3ccnc3c(N)n2)nc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cn2ccnc2c(N)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cn2ccnc2c(N)n1; ['CNC(=O)c1ccccc1B(O)O']; ['Nc1nc(Br)cn2ccnc12']; [0.9999674558639526]
+Cn1nc(-c2cn3ccnc3c(N)n2)cc1C(C)(C)O; [None]; [None]; [0]
+CCOc1ccccc1-c1cn2ccnc2c(N)n1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999986290931702, 0.9999804496765137, 0.9987355470657349]
+C[C@H](CS(C)(=O)=O)c1cn2ccnc2c(N)n1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cn2ccnc2c(N)n1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999462962150574, 0.9995145797729492]
 Cc1ccc(C(=O)NCCO)cc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-CCOc1ccccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-COC(C)(C)CCc1cn2ccnc2c(N)n1; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cn3ccnc3c(N)n2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(Cc2cc(F)cc(F)c2)cn2ccnc12; [None]; [None]; [0]
 CP(C)(=O)c1ccccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(-c2ccnc3ccccc23)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cccc(C(F)(F)F)c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2ccccc2OC(F)(F)F)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2ccccc2Br)cn2ccnc12; [None]; [None]; [0]
+COC(C)(C)CCc1cn2ccnc2c(N)n1; [None]; [None]; [0]
+Nc1nc(-c2ccccc2OC(F)(F)F)cn2ccnc12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999994039535522, 0.9999464750289917]
+Nc1nc(-c2ccnc3ccccc23)cn2ccnc12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'Nc1nc(Br)cn2ccnc12', 'Ic1ccnc2ccccc12']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12', 'OB(O)c1ccnc2ccccc12', 'Nc1nccn2ccnc12']; [0.9999955892562866, 0.9996193647384644, 0.9995189905166626, 0.9576050043106079]
+Nc1nc(-c2cccc(C(F)(F)F)c2)cn2ccnc12; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1nccn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.999999463558197, 0.9999872446060181, 0.99997878074646, 0.9942904114723206]
 Nc1nc(-c2ccccc2C(=O)[O-])cn2ccnc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(-c2cnn(Cc3ccccc3)c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cnc(-c3ccccc3)[nH]2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc([C@@H](N)c2ccco2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cnn(CCO)c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cccc(NC(=O)c3ccccc3)c2)cn2ccnc12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cn2ccnc2c(N)n1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999685287475586, 0.9985582828521729]
+Nc1nc(-c2cnn(Cc3ccccc3)c2)cn2ccnc12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999992251396179, 0.9998769164085388]
+Nc1nc(Cc2cc(F)cc(F)c2)cn2ccnc12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cn4ccnc4c(N)n3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1nc(Br)cn2ccnc12']; [0.9885081052780151]
+Nc1nc(-c2cccc(NC(=O)c3ccccc3)c2)cn2ccnc12; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999995231628418, 0.9999860525131226]
+Nc1nc(-c2cc(Cl)ccc2Cl)cn2ccnc12; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cc(Cl)ccc1Cl']; [0.999992847442627, 0.9999182820320129]
 CC(C)(C)c1nc(-c2cn3ccnc3c(N)n2)cs1; [None]; [None]; [0]
+Cc1ccc(-c2cn3ccnc3c(N)n2)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1']; ['Nc1nc(Br)cn2ccnc12']; [0.9913469552993774]
+Nc1nc(-c2cnc(-c3ccccc3)[nH]2)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(-n2ncc3cccc(F)c3c2=O)cn2ccnc12; [None]; [None]; [0]
 COc1cnc(-c2cn3ccnc3c(N)n2)nc1; [None]; [None]; [0]
 CC(C)C(=O)COc1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Cc1ccc(-c2cn3ccnc3c(N)n2)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(-c2cnc3ccccn23)cn2ccnc12; [None]; [None]; [0]
 CNc1nc(C)c(-c2cn3ccnc3c(N)n2)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(-c2c(Cl)cccc2Cl)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2c(Cl)cccc2Cl)cn2ccnc12; ['Nc1nc(Br)cn2ccnc12', 'Clc1cccc(Cl)c1I']; ['OB(O)c1c(Cl)cccc1Cl', 'Nc1nccn2ccnc12']; [0.9989361763000488, 0.9772809743881226]
+Cc1nc(N)sc1-c1cn2ccnc2c(N)n1; ['Cc1csc(N)n1']; ['Nc1nc(Br)cn2ccnc12']; [0.9928896427154541]
+Nc1nc(-c2cccc(Br)c2)cn2ccnc12; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cccc(Br)c1']; [0.9999973773956299, 0.9997649788856506]
 Nc1nc(-c2cccc(Cn3cncn3)c2)cn2ccnc12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
-Nc1nc(NCc2cccnc2)cn2ccnc12; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cn3ccnc3c(N)n2)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999899864196777, 0.9999005198478699]
+Cc1nc2ccccn2c1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
+Nc1nc(-c2cnc3ccccn23)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(NCc2cccnc2)cn2ccnc12; ['NCc1cccnc1']; ['Nc1nc(Br)cn2ccnc12']; [0.9999381303787231]
+Nc1nc(NC(=O)c2cccs2)cn2ccnc12; ['NC(=O)c1cccs1']; ['Nc1nc(Br)cn2ccnc12']; [0.9991819858551025]
 Cc1c(-c2cn3ccnc3c(N)n2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nc(-c2ccc3ccccc3c2)cn2ccnc12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccc2ccccc2c1', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [0.9999997615814209, 0.9999898672103882, 0.9946476221084595, 0.9911680221557617]
+Nc1nc(Nc2cccnc2)cn2ccnc12; ['Nc1cccnc1']; ['Nc1nc(Br)cn2ccnc12']; [0.9987668395042419]
+Nc1nc(-c2cnn3ncccc23)cn2ccnc12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Nc1nc(Br)cn2ccnc12']; [0.9999987483024597]
+Nc1nc(NCCc2c[nH]cn2)cn2ccnc12; ['NCCc1c[nH]cn1']; ['Nc1nc(Br)cn2ccnc12']; [0.9994741678237915]
+Nc1nc(-n2cnc3ccccc32)cn2ccnc12; ['Nc1nc(Br)cn2ccnc12']; ['c1ccc2[nH]cnc2c1']; [0.999986469745636]
+Nc1nc(-c2c[nH]nc2C(F)(F)F)cn2ccnc12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12', 'Nc1nccn2ccnc12']; [0.9999957084655762, 0.9891520142555237, 0.9392626285552979]
+Nc1nc(NCCc2ccccc2)cn2ccnc12; ['NCCc1ccccc1']; ['Nc1nc(Br)cn2ccnc12']; [0.9997537732124329]
+NC(=O)c1c(F)cccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
+Nc1nc(-c2cncc3ccccc23)cn2ccnc12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cncc2ccccc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [0.999991774559021, 0.9989681243896484, 0.9976691007614136, 0.9336022138595581]
+Cn1cc(-c2ccc(-c3cn4ccnc4c(N)n3)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 0.9986729025840759]
+Nc1[nH]nc2cc(-c3cn4ccnc4c(N)n3)ccc12; [None]; [None]; [0]
 Nc1nccc(-c2cn3ccnc3c(N)n2)n1; [None]; [None]; [0]
-Nc1nc(-c2cnn3ncccc23)cn2ccnc12; [None]; [None]; [0]
-COc1cccc(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
-Nc1nc(-c2ccc3ccccc3c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(Nc2cccnc2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-n2cnc3ccccc32)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(NCCc2c[nH]cn2)cn2ccnc12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cn3ccnc3c(N)n2)o1; [None]; [None]; [0]
+Nc1nc(NCc2ccc(Cl)cc2)cn2ccnc12; ['NCc1ccc(Cl)cc1']; ['Nc1nc(Br)cn2ccnc12']; [0.9998641014099121]
 Nc1nc(-c2cccc(CC(=O)[O-])c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(NC(=O)c2cccs2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cncc3ccccc23)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(NCCc2ccccc2)cn2ccnc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cn4ccnc4c(N)n3)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3cn4ccnc4c(N)n3)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-c3cn4ccnc4c(N)n3)ccc21; [None]; [None]; [0]
+Nc1nc(-c2ccc(-c3cn[nH]c3)cc2)cn2ccnc12; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [1.0, 0.9999474287033081]
+Nc1nc(-c2cccc(CO)c2)cn2ccnc12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OCc1cccc(B(O)O)c1']; [0.9999894499778748, 0.9987407922744751]
+Nc1nc(Nc2ccncc2)cn2ccnc12; ['Nc1ccncc1']; ['Nc1nc(Br)cn2ccnc12']; [0.9977434873580933]
+Nc1nc(NCc2ccccc2F)cn2ccnc12; ['NCc1ccccc1F']; ['Nc1nc(Br)cn2ccnc12']; [0.9999765753746033]
 CN1c2ccc(-c3cn4ccnc4c(N)n3)cc2CS1(=O)=O; [None]; [None]; [0]
 CCCn1cnc(-c2cn3ccnc3c(N)n2)n1; [None]; [None]; [0]
-Nc1nc(-c2cccc(CO)c2)cn2ccnc12; [None]; [None]; [0]
 COc1cc(-c2cn3ccnc3c(N)n2)ccc1C(=O)[O-]; [None]; [None]; [0]
-Nc1nc(Nc2ccncc2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2csc3ncncc23)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2cc3ccccc3[nH]2)cn2ccnc12; [None]; [None]; [0]
 CC(C)n1cc(-c2cn3ccnc3c(N)n2)nn1; [None]; [None]; [0]
 CSc1nc(-c2cn3ccnc3c(N)n2)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
 Nc1nc(CCc2c[nH]nn2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2csc3ncncc23)cn2ccnc12; [None]; [None]; [0]
 N#CCCc1cccc(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cn4ccnc4c(N)n3)cc2s1; [None]; [None]; [0]
+Nc1nc(-c2ccc(F)cc2C(F)(F)F)cn2ccnc12; ['Nc1nc(Br)cn2ccnc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9999828934669495]
+Nc1ncncc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-Nc1nc(-c2ccc(F)cc2C(F)(F)F)cn2ccnc12; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(NC(=O)c2c(Cl)cccc2Cl)cn2ccnc12; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2cn3ccnc3c(N)n2)CC1; [None]; [None]; [0]
+Nc1nc(Oc2ccccn2)cn2ccnc12; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cn4ccnc4c(N)n3)cc2s1; [None]; [None]; [0]
+Nc1nc(-c2cnn3ccccc23)cn2ccnc12; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cnn2ccccc12']; [0.9999998211860657, 0.9999940395355225]
+CS(=O)(=O)C1CCN(c2cn3ccnc3c(N)n2)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Nc1nc(Br)cn2ccnc12']; [0.9937896728515625]
+Nc1nc(NC(=O)c2c(Cl)cccc2Cl)cn2ccnc12; ['NC(=O)c1c(Cl)cccc1Cl']; ['Nc1nc(Br)cn2ccnc12']; [0.9993715882301331]
+COc1ccc(-c2cn3ccnc3c(N)n2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [1.0, 0.9999910593032837, 0.9944486618041992]
 CC(C)(COc1cn2ccnc2c(N)n1)S(C)(=O)=O; [None]; [None]; [0]
-COc1ccc(-c2cn3ccnc3c(N)n2)cc1Cl; [None]; [None]; [0]
-Nc1nc(-c2cnn3ccccc23)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cn2ccnc12; [None]; [None]; [0]
-CCCn1cc(-c2cn3ccnc3c(N)n2)cn1; [None]; [None]; [0]
-Nc1nc(-c2cc[nH]c(=O)c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cccc3c2C(=O)CC3)cn2ccnc12; [None]; [None]; [0]
-COc1cc(CCc2cn3ccnc3c(N)n2)cc(OC)c1; [None]; [None]; [0]
+CCCn1cc(-c2cn3ccnc3c(N)n2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999994039535522, 0.9999046325683594]
+NC(=O)CCCc1cn2ccnc2c(N)n1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1cn2ccnc2c(N)n1; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-C[C@@H](Oc1cn2ccnc2c(N)n1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[C@@H](Oc1cn2ccnc2c(N)n1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Nc1nc(Br)cn2ccnc12']; [0.7535112500190735]
+Nc1nc(-c2cccc3c2C(=O)CC3)cn2ccnc12; ['Nc1nc(Br)cn2ccnc12']; ['O=C1CCc2cccc(Br)c21']; [0.9906988143920898]
+CCNS(=O)(=O)c1ccccc1-c1cn2ccnc2c(N)n1; ['CCNS(=O)(=O)c1ccccc1Br']; ['Nc1nc(Br)cn2ccnc12']; [0.9817866086959839]
+CCN(CC)c1cn2ccnc2c(N)n1; ['CCNCC']; ['Nc1nc(Br)cn2ccnc12']; [0.9635626077651978]
+Nc1nc(-c2cc[nH]c(=O)c2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cn2ccnc12; [None]; [None]; [0]
+COc1ccncc1Nc1cn2ccnc2c(N)n1; ['COc1ccncc1N']; ['Nc1nc(Br)cn2ccnc12']; [0.9996314644813538]
 C[S@](=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-CCN(CC)c1cn2ccnc2c(N)n1; [None]; [None]; [0]
+COc1cc(CCc2cn3ccnc3c(N)n2)cc(OC)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cn3ccnc3c(N)n2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 0.999998152256012, 0.999847948551178]
+COc1cccc(F)c1-c1cn2ccnc2c(N)n1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; [1.0, 0.9999994039535522, 0.9999371767044067]
+Nc1nc(Nc2cnccc2-c2ccccc2)cn2ccnc12; ['Nc1cnccc1-c1ccccc1']; ['Nc1nc(Br)cn2ccnc12']; [0.9993361234664917]
 Nc1nc(-c2cc3c(=O)[nH]ccc3o2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(Nc2cnc3ccccc3c2)cn2ccnc12; ['Nc1cnc2ccccc2c1']; ['Nc1nc(Br)cn2ccnc12']; [0.9998445510864258]
 Nc1nc(-c2cc3c(=O)[nH]cc(Br)c3s2)cn2ccnc12; [None]; [None]; [0]
-COc1ccncc1Nc1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(Nc2cnccc2-c2ccccc2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(Nc2cnc3ccccc3c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2c[nH]c3cnccc23)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2cnc3[nH]ccc3c2)cn2ccnc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 0.9999991655349731]
+CS(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [1.0, 0.9999887943267822, 0.9879102110862732]
 CNC(=O)c1c(F)cccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(-c2cnc3[nH]ccc3c2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc([C@H](CO)Cc2ccccc2)cn2ccnc12; [None]; [None]; [0]
-CC1(c2cn3ccnc3c(N)n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999997615814209, 0.9999916553497314, 0.9700420498847961]
+Nc1nc(-c2c[nH]c3cnccc23)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-n2ccc(CO)n2)cn2ccnc12; ['Nc1nc(Br)cn2ccnc12']; ['OCc1cc[nH]n1']; [0.9770684242248535]
 CN(c1cn2ccnc2c(N)n1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cn3ccnc3c(N)n2)cc1; [None]; [None]; [0]
 Cc1cc(-c2cn3ccnc3c(N)n2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cn2ccnc2c(N)n1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-Nc1nc(-n2ccc(CO)n2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-n2cnc(CCO)c2)cn2ccnc12; [None]; [None]; [0]
-C[C@H](Nc1cn2ccnc2c(N)n1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cn2ccnc2c(N)n1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(-n2ncc3ccccc32)cn2ccnc12; [None]; [None]; [0]
+C[C@H](Nc1cn2ccnc2c(N)n1)C(C)(C)O; ['C[C@H](N)C(C)(C)O']; ['Nc1nc(Br)cn2ccnc12']; [0.8003117442131042]
+Nc1nc(-c2c(F)cccc2Cl)cn2ccnc12; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1c(F)cccc1Cl']; [0.9999995827674866, 0.9999818801879883]
+C[C@@H](Nc1cn2ccnc2c(N)n1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Nc1nc(Br)cn2ccnc12']; [0.8003117442131042]
+CC1(c2cn3ccnc3c(N)n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 Nc1nc(-n2ncc3c(O)cccc32)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cccnc2O)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-n2ncc3ccccc32)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-n2cnc(CCO)c2)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(-c2ccc(-n3cncn3)cc2)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(-c2nc3ccc(O)cc3[nH]2)cn2ccnc12; [None]; [None]; [0]
+COc1ccc(-c2cn3ccnc3c(N)n2)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.999997615814209, 0.9999653100967407]
+Nc1nc(-c2ccc(C(=O)c3ccccc3)cc2)cn2ccnc12; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1nc(Br)cn2ccnc12', 'Nc1nccn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1']; [0.9999996423721313, 0.9999911785125732, 0.9937198758125305]
 CSc1nc(C)c(-c2cn3ccnc3c(N)n2)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cn3ccnc3c(N)n2)c(OC)c1; [None]; [None]; [0]
-Nc1nc(-c2ccc(C(=O)c3ccccc3)cc2)cn2ccnc12; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-Nc1nc(-c2ccn(CC[NH3+])n2)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(-c2nncn2C2CC2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(Cc2nnc3ccc(-c4ccccc4)nn23)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(-c2ccn(CC[NH3+])n2)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(CCC(=O)NCc2ccccn2)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(CS(=O)(=O)NCc2ccccn2)cn2ccnc12; [None]; [None]; [0]
 Nc1nc(-c2cn(Cc3ccccc3)nn2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(Cc2nnc3ccc(-c4ccccc4)nn23)cn2ccnc12; [None]; [None]; [0]
 CCc1cc(-c2cn3ccnc3c(N)n2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2cn3ccnc3c(N)n2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cn3ccnc3c(N)n2)s1; [None]; [None]; [0]
 Nc1nnc(-c2cn3ccnc3c(N)n2)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cn3ccnc3c(N)n2)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cn3ccnc3c(N)n2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cn3ccnc3c(N)n2)CC1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cn3ccnc3c(N)n2)s1; [None]; [None]; [0]
 Nc1nc(Oc2ccc(C[NH3+])cc2F)cn2ccnc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
+Nc1nc(-c2cccc3ccsc23)cn2ccnc12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Nc1nc(Br)cn2ccnc12']; ['Nc1nc(Br)cn2ccnc12', 'OB(O)c1cccc2ccsc12']; [0.9999998211860657, 0.9999593496322632]
 Nc1nc(-c2nc3ccccc3s2)cn2ccnc12; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cn4ccnc4c(N)n3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cn4ccnc4c(N)n3)c2)cc1; [None]; [None]; [0]
-Nc1nc(-c2cccc3ccsc23)cn2ccnc12; [None]; [None]; [0]
+Nc1cncc(-c2cn3ccnc3c(N)n2)n1; [None]; [None]; [0]
 Nc1nc(-c2cccc3nnsc23)cn2ccnc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cn3ccnc3c(N)n2)[nH]1; [None]; [None]; [0]
-Nc1nc(-c2cn3ccnc3c(N)n2)nc2ccccc12; [None]; [None]; [0]
 Nc1nc(-c2c[nH]c3cccnc23)cn2ccnc12; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cn4ccnc4c(N)n3)nc2NC1=O; [None]; [None]; [0]
+COc1ccc(Oc2cn3ccnc3c(N)n2)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Nc1nc(Br)cn2ccnc12']; [0.9888778924942017]
+Nc1nc(-c2cn3ccnc3c(N)n2)nc2ccccc12; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cn2ccnc2c(N)n1; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999989867210388, 0.9999927282333374, 0.9990089535713196]
+COc1ccc(OC)c(-c2cn3ccnc3c(N)n2)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1']; ['Nc1nc(Br)cn2ccnc12', 'Nc1nc(Br)cn2ccnc12']; [0.9999942779541016, 0.9999809265136719]
+CC(=O)Nc1ncc(-c2cn3ccnc3c(N)n2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cn(CCO)cn2)cn2ccnc12; [None]; [None]; [0]
+Nc1nc(N2CCC(c3nc4ccccc4[nH]3)CC2)cn2ccnc12; ['Nc1nc(Br)cn2ccnc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9999558925628662]
 Nc1nc(-c2ncc3cc[nH]c3n2)cn2ccnc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cn2ccnc2c(N)n1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cn2ccnc2c(N)n1; [None]; [None]; [0]
-COc1ccc(Oc2cn3ccnc3c(N)n2)c(F)c1F; [None]; [None]; [0]
+Nc1nc(-c2cccc(NC(=O)C3CCNCC3)c2)cn2ccnc12; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2cn3ccnc3c(N)n2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cn3ccnc3c(N)n2)n1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cn3ccnc3c(N)n2)c1; [None]; [None]; [0]
 CN(C)c1cc(-c2cn3ccnc3c(N)n2)cnn1; [None]; [None]; [0]
-Nc1nc(N2CCC(c3nc4ccccc4[nH]3)CC2)cn2ccnc12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9999409914016724, 0.9987295866012573]
 Nc1nc(N2CC=C(c3c[nH]c4ccccc34)CC2)cn2ccnc12; [None]; [None]; [0]
-Nc1nc(-c2cccc(NC(=O)C3CCNCC3)c2)cn2ccnc12; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+CCOc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9999245405197144, 0.9968353509902954, 0.943422794342041]
+Cn1cc(-c2cccc(S(C)(=O)=O)c2)cc(N)c1=O; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9999973773956299, 0.9998184442520142, 0.999753475189209, 0.9968735575675964]
+Cc1nc(C(C)(C)O)sc1-c1cc(N)c(=O)n(C)c1; ['Cc1csc(C(C)(C)O)n1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9757300615310669]
+COc1ncccc1-c1cc(N)c(=O)n(C)c1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9997805953025818, 0.9996662139892578, 0.9966851472854614, 0.9951131343841553, 0.9872124195098877]
+COc1cc(-c2cc(N)c(=O)n(C)c2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9998223185539246, 0.9936051368713379, 0.7828793525695801]
+Cc1ccc2ncn(-c3cc(N)c(=O)n(C)c3)c2c1; ['Cc1ccc2nc[nH]c2c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.895352840423584]
+COc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9998974800109863, 0.9987539052963257, 0.973178505897522, 0.9349555969238281]
+Cn1cc(-c2cc(C#N)ccc2O)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['N#Cc1ccc(O)c(B(O)O)c1']; [0.9930503368377686]
+Cn1cc(-c2cccc(O)c2)cc(N)c1=O; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cccc(O)c1']; [0.9958255290985107, 0.9928819537162781]
+Cn1cc(-c2ccc(N3CCOCC3)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Cn1cc(Cl)cc(N)c1=O', 'Brc1ccc(N2CCOCC2)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Cn1cc(Br)cc(N)c1=O']; [0.9999973773956299, 0.9999666213989258, 0.9998356103897095, 0.9980403780937195, 0.9965646862983704, 0.8597521185874939]
+Cn1cc(-c2cnc3cccnn23)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ncc3ccccc3n2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cccc(NC(=O)C3CC3)c2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(N)=O)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.9998214244842529, 0.9987645149230957, 0.9970879554748535, 0.9689465165138245]
+Cn1cc(-c2nccc3ccccc23)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1nccc2ccccc12']; [0.9983625411987305]
+Cn1cc(-c2nc3ccccc3[nH]2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(=O)[O-])cc2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cnn(Cc3cccc(C#N)c3)c2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'Cn1cc(Cl)cc(N)c1=O', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.9999832510948181, 0.9993324875831604, 0.9990683794021606, 0.8816516399383545]
+Cn1cc(-c2ccc(OCCO)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1']; [0.9999373555183411, 0.9977109432220459, 0.9639975428581238]
+Cn1cc(-c2cccc(C3CCNCC3)c2)cc(N)c1=O; ['Brc1cccc(C2CCNCC2)c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9802279472351074]
+Cn1cc(Nc2ncccn2)cc(N)c1=O; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(N)c(=O)n(C)c3)cc2)CC1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9999741315841675, 0.9996809959411621, 0.9779362678527832]
+Cn1cc(-c2ccc(C(=O)N3CCOCC3)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.9999978542327881, 0.9999582767486572, 0.9995330572128296, 0.9855732917785645]
+CNS(=O)(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9984415769577026, 0.9890126585960388, 0.9865753054618835]
+C[C@H](O)COc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(F)(F)F)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1']; [0.9999530911445618, 0.9985026121139526, 0.9520589709281921]
+C[C@@H](O)COc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9999707937240601, 0.9997274279594421, 0.9993361234664917, 0.9771461486816406, 0.7698399424552917]
+Cn1cc(-c2ccc(C(=O)N3CCOCC3)cn2)cc(N)c1=O; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9997280836105347, 0.9968982934951782, 0.9930373430252075, 0.8102083206176758]
 Cn1cc(-c2ccc3c(c2)CS(=O)(=O)C3)cc(N)c1=O; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc(N)c(=O)n(C)c2)s1; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9999423027038574, 0.9739270210266113]
+CCNS(=O)(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9833638668060303]
+CCCOc1ccc(-c2cc(N)c(=O)n(C)c2)nc1; ['CCCOc1ccc(Br)nc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9919954538345337]
+Cn1cc(C2CCN(S(C)(=O)=O)CC2)cc(N)c1=O; [None]; [None]; [0]
 CC(C)c1cc(-c2cc(N)c(=O)n(C)c2)nc(N)n1; [None]; [None]; [0]
+Cn1cc(-c2ccc(Br)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccc(Br)cc1']; [0.9997848272323608, 0.9912557005882263]
+Cn1cc(Cc2cnc(N)nc2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(Cc2ccccc2O)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc([C@H]2CCN(C(=O)c3ccccc3)C2)cc(N)c1=O; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cc(N)c(=O)n(C)c3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cc(N)c(=O)n(C)c2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cc(N)c(=O)n(C)c3)[nH]c2c1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9999938011169434, 0.9998115301132202, 0.9976953268051147, 0.8868544101715088]
+Cc1c(C(=O)[O-])cccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9923356771469116, 0.9757647514343262, 0.8805853128433228]
+CN(C)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc(N)c(=O)n(C)c1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9988449811935425, 0.9988381266593933]
+Cn1cc(-c2ccccc2-n2cccn2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Cn1cc(Cl)cc(N)c1=O', 'Brc1ccccc1-n1cccn1']; ['OB(O)c1ccccc1-n1cccn1', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'OB(O)c1ccccc1-n1cccn1', 'Cn1cc(Br)cc(N)c1=O']; [0.9999344348907471, 0.9997172355651855, 0.9929081797599792, 0.9882639050483704, 0.9450820684432983]
+Cn1cc(-c2ccn3nccc3n2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['c1cnc2ccnn2c1']; [0.9333846569061279]
+Cn1cc(-c2c[nH]c3ccccc23)cc(N)c1=O; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.9979132413864136]
+COc1ccc(Cc2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
+COc1cc(-c2cc(N)c(=O)n(C)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9996097683906555, 0.9918242692947388, 0.8273870944976807]
+Cn1cc(-c2ccc3c(c2)CCO3)cc(N)c1=O; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Brc1ccc2c(c1)CCO2']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Cn1cc(Br)cc(N)c1=O']; [0.9999829530715942, 0.999842643737793, 0.9918006658554077, 0.9913499355316162]
+CC(=O)Nc1cccc(-c2cc(N)c(=O)n(C)c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9998036623001099, 0.9994142055511475, 0.958023726940155]
+COc1cc(OC)c(-c2cc(N)c(=O)n(C)c2)cc1Cl; [None]; [None]; [0]
+Cn1cc(-c2cccc3c2OCO3)cc(N)c1=O; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Brc1cccc2c1OCO2']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Cn1cc(Br)cc(N)c1=O']; [0.9998552799224854, 0.9992800951004028, 0.9899406433105469, 0.7719535827636719]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+Cn1cc(-c2cnc3ccccc3c2)cc(N)c1=O; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Brc1cnc2ccccc2c1', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cnc2ccccc2c1', 'Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cnc2ccccc2c1']; [0.9999650716781616, 0.9879340529441833, 0.8516565561294556, 0.8159470558166504]
+Cn1cc(-c2ccc(C(C)(C)C)cc2)cc(N)c1=O; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9999843835830688, 0.9996795058250427, 0.9929234981536865]
+Cn1cc(-c2cc(-c3ccccc3)[nH]n2)cc(N)c1=O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.999982476234436, 0.9998146295547485, 0.9993699789047241, 0.9797415733337402]
+CC(C)c1ccc2nc(-c3cc(N)c(=O)n(C)c3)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(C)(C)C)nc2)cc(N)c1=O; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9999328255653381, 0.998176097869873, 0.9909327626228333]
+Cn1cc(Cc2nc3c(F)c(F)ccc3[nH]2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2csc(N)n2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['Nc1nc(Cl)cs1']; [0.8655186295509338]
+Cc1ccc(-c2cc(N)c(=O)n(C)c2)c(=O)[nH]1; [None]; [None]; [0]
+Cn1cc(-c2scc3c2OCCO3)cc(N)c1=O; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(N)c(=O)n(C)c2)CC1; [None]; [None]; [0]
+CSc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9996875524520874, 0.9971094131469727, 0.9955078363418579, 0.9361664056777954]
+COc1cccc(C(=O)Nc2cc(N)c(=O)n(C)c2)c1; [None]; [None]; [0]
+Cn1cc(-c2cc3ccccc3s2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['c1ccc2sccc2c1', 'Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cc2ccccc2s1', 'OB(O)c1cc2ccccc2s1']; [0.9964885711669922, 0.9962843656539917, 0.9938790798187256, 0.8123548030853271]
+Cn1cc(Cc2nc3ccc(F)c(F)c3[nH]2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(CCCc2ccccc2)cc(N)c1=O; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc(N)c(=O)n(C)c3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9991880655288696, 0.9873255491256714]
+Cn1cc(-c2ccc(F)cc2Cl)cc(N)c1=O; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1']; [0.9998583793640137, 0.999369204044342, 0.9768201112747192]
+Cn1cc(Cc2nc3ccccc3[nH]2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccn(-c3cccc(Cl)c3)n2)cc(N)c1=O; [None]; [None]; [0]
+Cc1cc(-c2cc(N)c(=O)n(C)c2)nc(N)n1; [None]; [None]; [0]
+COc1ccc(-c2cc(N)c(=O)n(C)c2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9998406767845154, 0.9964116811752319, 0.9411661028862, 0.750336229801178]
+CCc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9999209642410278, 0.9962784051895142, 0.9216467142105103]
+Cn1cc(-c2ccc(Cl)cc2Cl)cc(N)c1=O; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9996700882911682, 0.9989770650863647]
+CC[C@@H](CO)c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+Cn1cc([C@H](CO)Cc2ccccc2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(c2)CCC(=O)N3)cc(N)c1=O; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999876022338867, 0.9995214343070984, 0.9671937823295593]
+COc1cc(-c2cc(N)c(=O)n(C)c2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9999300241470337]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(c2)CC(C)(C)O3)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cc(N)c(=O)n(C)c2)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9997613430023193, 0.9992551207542419, 0.9932465553283691, 0.9235225319862366]
+COc1ccc2cccc(-c3cc(N)c(=O)n(C)c3)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9466912746429443]
+COc1cc(F)c(-c2cc(N)c(=O)n(C)c2)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.999173641204834, 0.9981650114059448, 0.9870116710662842]
+Cn1cc(-c2ncc(Br)cn2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cccc3ccc(O)cc23)cc(N)c1=O; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.9969038367271423]
+COc1cc(-c2cc(N)c(=O)n(C)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9999926686286926, 0.9998691082000732, 0.9997336864471436, 0.9862749576568604, 0.8813743591308594]
+Cn1cc(-c2ncc3cccn3n2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cc3ccccn3n2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(CCCn2cncn2)cc(N)c1=O; [None]; [None]; [0]
+Cc1csc2c(-c3cc(N)c(=O)n(C)c3)ncnc12; [None]; [None]; [0]
+Cn1cc(-c2cnn(CCO)c2)cc(N)c1=O; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O', 'OCCn1cc(B(O)O)cn1', 'Cn1cc(Cl)cc(N)c1=O']; [0.994795560836792, 0.9315276145935059, 0.8725844621658325]
+CNC(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9998300075531006, 0.9978125095367432]
 Cn1cc(-c2cc(N)nc3[nH]ccc23)cc(N)c1=O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)nc1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cc(N)c(=O)n(C)c2)c1; [None]; [None]; [0]
+Cn1cc(-c2ncc(Cl)cn2)cc(N)c1=O; [None]; [None]; [0]
+COc1cc(-c2cc(N)c(=O)n(C)c2)c(OC)cc1Br; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(N)c(=O)n(C)c2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9995050430297852, 0.9948457479476929, 0.8965247869491577]
+COc1ccc2oc(-c3cc(N)c(=O)n(C)c3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9993716478347778]
+CO[C@@H]1CC[C@@H](c2cc(N)c(=O)n(C)c2)CC1; [None]; [None]; [0]
+CCn1cc(-c2cc(N)c(=O)n(C)c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9982725381851196, 0.8985801935195923, 0.8985463380813599]
+CCNC(=O)N1CCC(c2cc(N)c(=O)n(C)c2)CC1; [None]; [None]; [0]
+Cn1cc(-c2ccc3cn[nH]c3c2)cc(N)c1=O; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1', 'Cn1cc(Cl)cc(N)c1=O', 'Brc1ccc2cn[nH]c2c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'OB(O)c1ccc2cn[nH]c2c1', 'Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccc2cn[nH]c2c1', 'Cn1cc(Br)cc(N)c1=O']; [0.9999915957450867, 0.9998519420623779, 0.9998198747634888, 0.9998145699501038, 0.9985405206680298, 0.9439491033554077]
 Cn1cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cc(N)c1=O; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc(N)c(=O)n(C)c1)cn2C; [None]; [None]; [0]
+Cn1cc(-c2cc3ccccc3o2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OB(O)c1cc2ccccc2o1']; [0.9986473321914673]
+CNC(=O)c1ccc(OC)c(-c2cc(N)c(=O)n(C)c2)c1; [None]; [None]; [0]
+Cn1cc(-c2cccc(NC(=O)N3CCCC3)c2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc(C[NH+](C)C)cc2)cc(N)c1=O; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cc(N)c(=O)n(C)c2)c1; [None]; [None]; [0]
+Cn1cc(-c2cc(-c3cccnc3)ccn2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ncc3sccc3n2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(OC(F)(F)F)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; [0.9999982714653015, 0.9996062517166138, 0.9966928958892822, 0.7946524620056152]
+Cn1cc(-c2cn(C)c3ccccc23)cc(N)c1=O; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Cn1cc(Br)cc(N)c1=O']; [0.999055027961731]
+COc1ccc2nc(-c3cc(N)c(=O)n(C)c3)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(cnn3C)c2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.9999996423721313, 0.999995231628418, 0.9999294281005859, 0.9987875819206238, 0.9900164604187012]
+CCc1cccc(-c2cc(N)c(=O)n(C)c2)n1; [None]; [None]; [0]
 Cn1cc(-c2cc3ccc(C(C)(C)O)cc3[nH]2)cc(N)c1=O; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(N)c(=O)n(C)c2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(B(O)O)cn1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9999551177024841, 0.9988015294075012, 0.8926104307174683, 0.8646882772445679]
+Cc1n[nH]c2cc(-c3cc(N)c(=O)n(C)c3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9999939799308777, 0.9999887943267822, 0.9998149275779724, 0.9996602535247803, 0.9975131750106812, 0.9931517243385315]
+Cc1cc(-c2cc(N)c(=O)n(C)c2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(c2)c(Cl)nn3C)cc(N)c1=O; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cc(N)c(=O)n(C)c3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9999901056289673]
 Cn1cc(-c2ncn3c2CCCC3)cc(N)c1=O; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cc(N)c(=O)n(C)c3)cn2)CC1; [None]; [None]; [0]
 Cn1cc(NC(=O)c2cccc(OC(F)(F)F)c2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc(CCO)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O', 'OCCc1ccc(B(O)O)cc1', 'Cn1cc(Cl)cc(N)c1=O']; [0.9998078942298889, 0.9950574636459351, 0.9932068586349487]
+Cn1cc(-c2cccc(N3CCCC3=O)c2)cc(N)c1=O; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9998095631599426, 0.9762362837791443]
+CN(C)C(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)c(Cl)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9993153214454651, 0.9750634431838989]
 Cc1ncc(-c2ccc(-c3cc(N)c(=O)n(C)c3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9974101185798645, 0.8867921233177185]
+COc1cc(N2CCNCC2)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)nc1; ['CN(C)C(=O)c1ccc(Br)nc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.8530140519142151]
+Cn1cc(-c2cc(S(C)(=O)=O)ccc2Cl)cc(N)c1=O; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc(N)c(=O)n(C)c1; ['CNC(=O)c1ccccc1B(O)O']; ['Cn1cc(Br)cc(N)c1=O']; [0.9985560178756714]
+CCOc1ccccc1-c1cc(N)c(=O)n(C)c1; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9995783567428589, 0.9993337988853455, 0.9707095623016357]
 Cn1nc(-c2cc(N)c(=O)n(C)c2)cc1C(C)(C)O; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cc(N)c(=O)n(C)c2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(N)c(=O)n(C)c1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9996596574783325, 0.998875617980957]
+Cc1nnc(-c2ccccc2-c2cc(N)c(=O)n(C)c2)[nH]1; [None]; [None]; [0]
+Cn1cc(-c2ccnc3ccccc23)cc(N)c1=O; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Brc1ccnc2ccccc12', 'CCCC[Sn](CCCC)(CCCC)c1ccnc2ccccc12']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccnc2ccccc12', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9972207546234131, 0.9941583871841431, 0.8870266675949097, 0.7650104761123657]
+COC(C)(C)CCc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+Cn1cc(-c2ccccc2OC(F)(F)F)cc(N)c1=O; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br']; [0.9995734691619873, 0.9988596439361572, 0.990277111530304, 0.8497036695480347]
+Cn1cc(-c2cccc(C(F)(F)F)c2)cc(N)c1=O; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CCCC[Sn](CCCC)(CCCC)c1cccc(C(F)(F)F)c1', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cccc(C(F)(F)F)c1', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.999943733215332, 0.9978771209716797, 0.9945998787879944, 0.9715862274169922, 0.9521317481994629, 0.9479957222938538]
+Cn1cc(-c2ccccc2C(N)=O)cc(N)c1=O; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'NC(=O)c1ccccc1B(O)O', 'Cn1cc(Cl)cc(N)c1=O', 'NC(=O)c1ccccc1B(O)O']; [0.9910116195678711, 0.9827218055725098, 0.9585787057876587, 0.818257212638855]
+Cn1cc(-c2ccccc2P(C)(C)=O)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cnn(Cc3ccccc3)c2)cc(N)c1=O; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9998890161514282, 0.9979202747344971, 0.9876536130905151]
+Cn1cc(Cc2cc(F)cc(F)c2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2csc(C(C)(C)C)n2)cc(N)c1=O; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9999083280563354]
+Cn1cc(-c2ccc3ncn(C)c(=O)c3c2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9873865842819214]
+Cn1cc(-c2cccc(NC(=O)c3ccccc3)c2)cc(N)c1=O; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999829530715942, 0.9999281167984009]
+Cn1cc(-c2ccccc2C(=O)[O-])cc(N)c1=O; [None]; [None]; [0]
+Cc1ccc(-c2cc(N)c(=O)n(C)c2)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1']; ['Cn1cc(Br)cc(N)c1=O']; [0.8487625122070312]
+Cn1cc(-c2cc(Cl)ccc2Cl)cc(N)c1=O; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999325275421143, 0.9983566403388977, 0.9894803762435913]
+Cn1cc(-c2cnc3ccccn23)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['c1ccn2ccnc2c1']; [0.9962588548660278]
+Cn1cc(-c2cnc(-c3ccccc3)[nH]2)cc(N)c1=O; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cc(N)c(=O)n(C)c1; ['Cc1csc(N)n1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9004570245742798]
+Cn1cc(-c2cccc(Br)c2)cc(N)c1=O; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1']; [0.9994394183158875, 0.9947014451026917, 0.8911867141723633]
 Cn1cc(-n2ncc3cccc(F)c3c2=O)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2c(Cl)cccc2Cl)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O', 'Clc1cccc(Cl)c1Br', 'Cn1cc(Cl)cc(N)c1=O']; ['OB(O)c1c(Cl)cccc1Cl', 'Cn1cc(Br)cc(N)c1=O', 'OB(O)c1c(Cl)cccc1Cl']; [0.9986922740936279, 0.9914366006851196, 0.7895023822784424]
+CC(C)C(=O)COc1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+COc1cnc(-c2cc(N)c(=O)n(C)c2)nc1; [None]; [None]; [0]
+Cn1cc(-c2cccc(Cn3cncn3)c2)cc(N)c1=O; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc(N)c(=O)n(C)c2)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9967798590660095, 0.9716808795928955, 0.9435137510299683]
+Cc1nc2ccccn2c1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+Cn1cc(NCc2cccnc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['NCc1cccnc1']; [0.9600803256034851]
+CNc1nc(C)c(-c2cc(N)c(=O)n(C)c2)s1; [None]; [None]; [0]
+Cn1cc(Nc2cccnc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['Nc1cccnc1']; [0.9908705949783325]
+Cn1cc(-c2ccc3ccccc3c2)cc(N)c1=O; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Brc1ccc2ccccc2c1']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Cn1cc(Br)cc(N)c1=O']; [0.9999571442604065, 0.9992550611495972, 0.9850318431854248, 0.8665062189102173]
+Cn1cc(NC(=O)c2cccs2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccnc(N)n2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['Nc1nccc(Br)n1']; [0.9306291937828064]
+Cn1cc(-c2cnn3ncccc23)cc(N)c1=O; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9999978542327881, 0.9999203085899353, 0.9874671697616577]
+Cn1cc(-n2cnc3ccccc32)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['c1ccc2[nH]cnc2c1']; [0.8292297124862671]
+Cn1cc(NCCc2c[nH]cn2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9756686091423035, 0.9576752185821533]
+Cn1cc(-c2cncc3ccccc23)cc(N)c1=O; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Brc1cncc2ccccc12']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'OB(O)c1cncc2ccccc12', 'Cn1cc(Br)cc(N)c1=O']; [0.9998956918716431, 0.9997575283050537, 0.9988148212432861, 0.8894637823104858]
+Cn1cc(-c2c[nH]nc2C(F)(F)F)cc(N)c1=O; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'FC(F)(F)c1cc[nH]n1']; [0.999599814414978, 0.9397035241127014]
 Cc1c(-c2cc(N)c(=O)n(C)c2)sc(=O)n1C; [None]; [None]; [0]
-Cn1cc(-c2cnn3ncccc23)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(Cc2ncc(C(C)(C)C)o2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cccc(F)c2C(N)=O)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cc(N)c(=O)n(C)c3)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9999980330467224, 0.9999189376831055, 0.9535021781921387]
+Cn1cc(NCCc2ccccc2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(N)[nH]nc3c2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.9667412042617798]
+Cn1cc(-c2cccc(CC(=O)[O-])c2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(NCc2ccc(Cl)cc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9388001561164856, 0.7928297519683838]
+Cn1cc(-c2cccc(CO)c2)cc(N)c1=O; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1']; [0.9996931552886963, 0.9952058792114258, 0.986971378326416, 0.8914569616317749]
+Cn1cc(Nc2ccncc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['Nc1ccncc1']; [0.9770856499671936]
+Cn1cc(-c2ccc(-c3cn[nH]c3)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.999993085861206, 0.9999016523361206, 0.9977000951766968, 0.9781062006950378]
+Cn1cc(NCc2ccccc2F)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['NCc1ccccc1F', 'NCc1ccccc1F']; [0.96705561876297, 0.8679929971694946]
+CCCn1cnc(-c2cc(N)c(=O)n(C)c2)n1; [None]; [None]; [0]
+Cn1cc(-c2csc3ncncc23)cc(N)c1=O; ['Brc1csc2ncncc12']; ['Cn1cc(Br)cc(N)c1=O']; [0.8428652286529541]
 CN1c2ccc(-c3cc(N)c(=O)n(C)c3)cc2CS1(=O)=O; [None]; [None]; [0]
 COc1cc(-c2cc(N)c(=O)n(C)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-Cn1cc(CCc2c[nH]nn2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cc3ccccc3[nH]2)cc(N)c1=O; ['CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C']; ['Cn1cc(Br)cc(N)c1=O']; [0.9943779110908508]
 CC(C)n1cc(-c2cc(N)c(=O)n(C)c2)nn1; [None]; [None]; [0]
-Cn1cc(CCNC(=O)CC(C)(C)O)cc(N)c1=O; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+Cn1cc(CCc2c[nH]nn2)cc(N)c1=O; [None]; [None]; [0]
+CSc1nc(-c2cc(N)c(=O)n(C)c2)c[nH]1; [None]; [None]; [0]
+Cn1cc(-c2cccc(CCC#N)c2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; [0.9985119104385376, 0.9732867479324341]
+CCC(=O)Nc1ccc(-c2cc(N)c(=O)n(C)c2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9999541640281677]
+Cn1cc(-c2ccc(F)cc2C(F)(F)F)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9997857809066772, 0.9979749321937561]
 Cn1cc(NC(=O)c2c(Cl)cccc2Cl)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(N2CCC(S(C)(=O)=O)CC2)cc(N)c1=O; ['CS(=O)(=O)C1CCNCC1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9899928569793701]
+Cn1cc(-c2cncnc2N)cc(N)c1=O; [None]; [None]; [0]
+COc1ccc(-c2cc(N)c(=O)n(C)c2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9999570846557617, 0.9996968507766724, 0.9981469511985779, 0.9901878237724304, 0.95257568359375, 0.8627617359161377]
+CCNc1nc2ccc(-c3cc(N)c(=O)n(C)c3)cc2s1; [None]; [None]; [0]
+Cn1cc(-c2cnn3ccccc23)cc(N)c1=O; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Brc1cnn2ccccc12']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cnn2ccccc12', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9999984502792358, 0.9999980330467224, 0.9999739527702332, 0.989471971988678]
+Cn1cc(CCCC(N)=O)cc(N)c1=O; [None]; [None]; [0]
+CCCn1cc(-c2cc(N)c(=O)n(C)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9996381402015686, 0.9937121272087097, 0.9747445583343506]
+Cn1cc(CCNC(=O)CC(C)(C)O)cc(N)c1=O; [None]; [None]; [0]
 Cn1cc(OCC(C)(C)S(C)(=O)=O)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(Oc2ccccn2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cc[nH]c(=O)c2)cc(N)c1=O; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'O=c1cc(Br)cc[nH]1']; [0.9998612403869629, 0.7983044385910034]
+Cn1cc(-c2cccc3c2C(=O)CC3)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['O=C1CCc2cccc(Br)c21']; [0.9304490089416504]
+Cn1cc(-c2ccc([S@](C)=O)cc2)cc(N)c1=O; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9990347623825073, 0.9945520162582397, 0.9925292730331421, 0.9334271550178528]
+CCNS(=O)(=O)c1ccccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(C)(C)N)cc2)cc(N)c1=O; [None]; [None]; [0]
+CCN(CC)c1cc(N)c(=O)n(C)c1; ['CCNCC', 'CCNCC']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(F)cc([N+](=O)[O-])c1=O']; [0.9353538751602173, 0.9317299127578735]
 Cn1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cc(N)c1=O; [None]; [None]; [0]
 C[C@@H](Oc1cc(N)c(=O)n(C)c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+COc1ccncc1Nc1cc(N)c(=O)n(C)c1; ['COc1ccncc1N']; ['Cn1cc(Br)cc(N)c1=O']; [0.9924542903900146]
+CC(C)Oc1cncc(-c2cc(N)c(=O)n(C)c2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9999930262565613, 0.9977409243583679]
+COc1cccc(F)c1-c1cc(N)c(=O)n(C)c1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.999882161617279, 0.996182382106781, 0.9790679216384888, 0.963854193687439]
+Cn1cc(Nc2cnccc2-c2ccccc2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['Nc1cnccc1-c1ccccc1']; [0.9935544729232788]
+COc1cc(CCc2cc(N)c(=O)n(C)c2)cc(OC)c1; [None]; [None]; [0]
+Cn1cc(-c2cnc3[nH]ccc3c2)cc(N)c1=O; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Brc1cnc2[nH]ccc2c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Cn1cc(Br)cc(N)c1=O']; [0.9999960660934448, 0.9999417066574097, 0.9981034398078918, 0.9907959699630737, 0.8302161693572998]
+Cn1cc(-c2cc3c(=O)[nH]ccc3o2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(Nc2cnc3ccccc3c2)cc(N)c1=O; [None]; [None]; [0]
 Cn1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)cc(N)c1=O; [None]; [None]; [0]
-Cn1cc(Nc2cnccc2-c2ccccc2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2c[nH]c3cnccc23)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)cc(N)c1=O; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9999191761016846, 0.9987843632698059, 0.9965598583221436, 0.9100784063339233]
+Cn1cc(-c2ccc(S(C)(=O)=O)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O']; [0.9999632835388184, 0.9996228218078613, 0.9981957077980042, 0.9681257009506226]
+CNC(=O)c1c(F)cccc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
 CN(c1cc(N)c(=O)n(C)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Cn1cc(-n2cnc(CCO)c2)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['OCCc1c[nH]cn1']; [0.783415675163269]
+Cn1cc(C2(C)CCN(S(C)(=O)=O)CC2)cc(N)c1=O; [None]; [None]; [0]
+C[C@@H](Nc1cc(N)c(=O)n(C)c1)C(C)(C)O; [None]; [None]; [0]
+C[C@H](Nc1cc(N)c(=O)n(C)c1)C(C)(C)O; [None]; [None]; [0]
+Cc1cc(-c2cc(N)c(=O)n(C)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Cn1cc(-n2ccc(CO)n2)cc(N)c1=O; [None]; [None]; [0]
 C[C@H](Nc1cc(N)c(=O)n(C)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-Cn1cc(-c2ccn(CC[NH3+])n2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2c(F)cccc2Cl)cc(N)c1=O; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br']; [0.9999893307685852, 0.9997299909591675, 0.9990624189376831]
+Cn1cc(-c2ccc(-n3cncn3)cc2)cc(N)c1=O; [None]; [None]; [0]
+COc1ccc(-c2cc(N)c(=O)n(C)c2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9993072748184204, 0.9985270500183105, 0.9842976331710815, 0.9227277040481567]
+Cn1cc(-c2ccc(C(=O)c3ccccc3)cc2)cc(N)c1=O; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Cn1cc(Cl)cc(N)c1=O', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9998894929885864, 0.9989075660705566, 0.9951003789901733, 0.9075887203216553]
+Cn1cc(-n2ncc3c(O)cccc32)cc(N)c1=O; ['Cn1cc(Br)cc(N)c1=O']; ['Oc1cccc2[nH]ncc12']; [0.8109592795372009]
+CSc1nc(C)c(-c2cc(N)c(=O)n(C)c2)[nH]1; [None]; [None]; [0]
+Cn1cc(-c2nc3ccc(O)cc3[nH]2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-n2ncc3ccccc32)cc(N)c1=O; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+Cn1cc(-c2nncn2C2CC2)cc(N)c1=O; [None]; [None]; [0]
 Cn1cc(Cc2nnc3ccc(-c4ccccc4)nn23)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(CCC(=O)NCc2ccccn2)cc(N)c1=O; [None]; [None]; [0]
+CCc1cc(-c2cc(N)c(=O)n(C)c2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(CS(=O)(=O)NCc2ccccn2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccn(CC[NH3+])n2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cn(Cc3ccccc3)nn2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cccc(C(C)(C)O)n2)cc(N)c1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)c(=O)n(C)c2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(N)c(=O)n(C)c2)nc(N)n1; [None]; [None]; [0]
+Cn1cc(-c2nnc(N)s2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2nc3ccccc3s2)cc(N)c1=O; ['CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['Cn1cc(Br)cc(N)c1=O']; [0.9986443519592285]
 Cn1cc(C(N)=O)cc1-c1cc(N)c(=O)n(C)c1; [None]; [None]; [0]
+Cn1cc(-c2cccc3ccsc23)cc(N)c1=O; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Cn1cc(Br)cc(N)c1=O', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Cn1cc(Cl)cc(N)c1=O']; ['Cn1cc(Br)cc(N)c1=O', 'OB(O)c1cccc2ccsc12', 'Cn1cc(Cl)cc(N)c1=O', 'OB(O)c1cccc2ccsc12']; [0.9999395608901978, 0.9995521306991577, 0.9989483952522278, 0.976952850818634]
 Cn1cc(Oc2ccc(C[NH3+])cc2F)cc(N)c1=O; [None]; [None]; [0]
 Cn1cc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)cc(N)c1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(N)c(=O)n(C)c3)c2)cc1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(N)c(=O)n(C)c2)CC1; [None]; [None]; [0]
+Cn1cc(-c2cncc(N)n2)cc(N)c1=O; [None]; [None]; [0]
 Cn1cc(-c2cccc3nnsc23)cc(N)c1=O; [None]; [None]; [0]
-COc1ccc(Oc2cc(N)c(=O)n(C)c2)c(F)c1F; [None]; [None]; [0]
-Cn1cc(-c2cccc(C(C)(C)O)n2)cc(N)c1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(N)c(=O)n(C)c3)c2)cc1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc(N)c(=O)n(C)c1; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Cl)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.999491810798645, 0.9982810020446777, 0.9897071123123169, 0.9864136576652527, 0.8890078663825989]
+COc1ccc(Oc2cc(N)c(=O)n(C)c2)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Cn1cc(Br)cc(N)c1=O']; [0.9229609370231628]
+Cn1cc(-c2ncc3cc[nH]c3n2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2nc(N)c3ccccc3n2)cc(N)c1=O; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(N)c(=O)n(C)c2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1']; ['Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O', 'Cn1cc(Br)cc(N)c1=O']; [0.9992303252220154, 0.991331934928894, 0.8239333629608154]
+CC(=O)Nc1ncc(-c2cc(N)c(=O)n(C)c2)[nH]1; [None]; [None]; [0]
+Cn1cc(-c2c[nH]c3cccnc23)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(-c2cn(CCO)cn2)cc(N)c1=O; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc(N)c(=O)n(C)c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(N)c(=O)n(C)c2)cnn1; [None]; [None]; [0]
+Cn1cc([C@H]2CC[C@@](C)(O)CC2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc(N)c1=O; [None]; [None]; [0]
+Cn1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)cc(N)c1=O; [None]; [None]; [0]
+CCOc1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1']; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CCOc1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999880790710449, 0.9999276399612427, 0.9998509883880615, 0.9996147155761719, 0.9982497096061707, 0.9910612106323242]
 Cn1cc(-c2cccc(NC(=O)C3CCNCC3)c2)cc(N)c1=O; [None]; [None]; [0]
-CNC(=O)c1ccccc1Nc1ccncc1OC; [None]; [None]; [0]
-CCOc1ccccc1Nc1ccncc1OC; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+COc1ncccc1-c1ccnc2[nH]cnc12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccnc2[nH]cnc12']; ['Ic1ccnc2[nH]cnc12', 'COc1ncccc1B(O)O']; [0.9985531568527222, 0.9948725700378418]
+CS(=O)(=O)c1cccc(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999996423721313, 0.9999968409538269, 0.9999666213989258, 0.9999268054962158, 0.9998815059661865, 0.9985314607620239]
+c1ccc2nc(-c3ccnc4[nH]cnc34)ncc2c1; ['Ic1ccnc2[nH]cnc12']; ['c1ccc2ncncc2c1']; [0.8085482120513916]
+COc1cc(-c2ccnc3[nH]cnc23)cc(OC)c1OC; ['Brc1ccnc2[nH]cnc12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'Brc1ccnc2[nH]cnc12', 'COc1cc(B(O)O)cc(OC)c1OC']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'COc1cc(B(O)O)cc(OC)c1OC', 'Clc1ccnc2[nH]cnc12']; [0.9999755620956421, 0.9999687671661377, 0.9996753931045532, 0.9995660781860352, 0.9992200136184692, 0.9912927150726318]
+c1cnn2c(-c3ccnc4[nH]cnc34)cnc2c1; [None]; [None]; [0]
+COc1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'COc1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999954700469971, 0.9999721050262451, 0.9999212622642517, 0.9994141459465027, 0.9988751411437988, 0.9914921522140503]
+Cc1nc(C(C)(C)O)sc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ccnc4[nH]cnc34)c2c1; [None]; [None]; [0]
+Oc1cccc(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Clc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9999260902404785, 0.9997941851615906, 0.998223602771759, 0.9974567294120789, 0.9932820796966553, 0.9576037526130676, 0.8529123067855835]
+N#Cc1ccc(O)c(-c2ccnc3[nH]cnc23)c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccnc3[nH]cnc23)c1)C1CC1; ['Brc1ccnc2[nH]cnc12']; ['O=C(Nc1cccc(Br)c1)C1CC1']; [0.985621452331543]
+c1cc(-c2ccc(N3CCOCC3)cc2)c2nc[nH]c2n1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.9999997019767761, 0.999997615814209, 0.9999899864196777, 0.9999834299087524, 0.9999560117721558, 0.999667227268219]
+c1ccc2[nH]c(-c3ccnc4[nH]cnc34)nc2c1; ['Nc1ccccc1N']; ['O=C(O)c1ccnc2[nH]cnc12']; [0.998826801776886]
+O=C([O-])c1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'NC(=O)c1ccc(B(O)O)cc1', 'Clc1ccnc2[nH]cnc12', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.9999992847442627, 0.9999932050704956, 0.9999579191207886, 0.999954104423523, 0.9997857809066772, 0.9987437129020691]
+c1cnc(Nc2ccnc3[nH]cnc23)nc1; ['Brc1ccnc2[nH]cnc12', 'Brc1ncccn1', 'Clc1ncccn1', 'CS(=O)c1ncccn1', 'Ic1ccnc2[nH]cnc12', 'Fc1ncccn1']; ['Nc1ncccn1', 'Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'Nc1ncccn1', 'Nc1ccnc2[nH]cnc12']; [0.9961916208267212, 0.9888739585876465, 0.9838985204696655, 0.9669123888015747, 0.9610403776168823, 0.9601932764053345]
+Cc1cc(Nc2ccnc3[nH]cnc23)sn1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccnc4[nH]cnc34)cc2)CC1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.9999996423721313, 0.9999959468841553, 0.999955952167511, 0.9998109936714172, 0.9996913075447083, 0.9961026906967163]
+c1ccc2c(-c3ccnc4[nH]cnc34)nccc2c1; [None]; [None]; [0]
+c1cc(-c2ccnc3[nH]cnc23)cc(C2CCNCC2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'CC(=O)NCc1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999970197677612, 0.9999833703041077, 0.9999350309371948, 0.9993292093276978, 0.9957205057144165]
+N#Cc1cccc(Cn2cc(-c3ccnc4[nH]cnc34)cn2)c1; [None]; [None]; [0]
+OCCOc1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2ccnc3[nH]cnc23)nc1)N1CCOCC1; ['Brc1ccnc2[nH]cnc12']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999929666519165]
+O=C(c1ccc(-c2ccnc3[nH]cnc23)cc1)N1CCOCC1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'c1cnc2[nH]cnc2c1', 'c1cnc2[nH]cnc2c1']; [0.9999997019767761, 0.9999994039535522, 0.9999933242797852, 0.9999923706054688, 0.9999917149543762, 0.9998922348022461, 0.9795945286750793, 0.9215555191040039, 0.7924373745918274]
+c1cc(Nc2ccnc3[nH]cnc23)ncn1; ['Brc1ccnc2[nH]cnc12', 'Clc1ccncn1', 'Nc1ccnc2[nH]cnc12']; ['Nc1ccncn1', 'Nc1ccnc2[nH]cnc12', 'O=c1ccnc[nH]1']; [0.9993909597396851, 0.9970122575759888, 0.984009861946106]
+C[C@H](O)COc1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999954700469971, 0.9999895095825195, 0.9999686479568481, 0.9994288682937622, 0.9993100166320801, 0.9949826002120972]
+C[C@@H](O)COc1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Clc1ccnc2[nH]cnc12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1']; [0.9999986886978149, 0.9999920725822449, 0.9999322295188904, 0.9999148845672607, 0.9998281002044678, 0.9980419874191284]
+O=S1(=O)Cc2ccc(-c3ccnc4[nH]cnc34)cc2C1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CN(C)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999988079071045, 0.9999871253967285, 0.9999510645866394, 0.9998995065689087, 0.9993969202041626, 0.9968959093093872]
+CCNS(=O)(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ccnc2[nH]cnc12']; [0.9993870854377747, 0.9931992292404175]
+CN(C)S(=O)(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccnc3[nH]cnc23)s1; [None]; [None]; [0]
+CC(C)c1cc(-c2ccnc3[nH]cnc23)nc(N)n1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2ccnc3[nH]cnc23)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2ccnc3[nH]cnc23)C1; [None]; [None]; [0]
+CCCOc1ccc(-c2ccnc3[nH]cnc23)nc1; ['Brc1ccnc2[nH]cnc12']; ['CCCOc1ccc(Br)nc1']; [0.9926930665969849]
+Brc1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1']; [0.9999885559082031, 0.9999852180480957, 0.9998853206634521, 0.9969993829727173, 0.9943032264709473, 0.9494266510009766]
+COc1ccc(Cl)cc1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'COc1ccc(Cl)cc1B(O)O']; ['COc1ccc(Cl)cc1B(O)O', 'Clc1ccnc2[nH]cnc12']; [0.9997869729995728, 0.9735821485519409]
+c1cc(-c2ccn3nccc3n2)c2nc[nH]c2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccnc3[nH]cnc23)c(C)c1; ['Brc1ccnc2[nH]cnc12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'Brc1ccnc2[nH]cnc12']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; [0.9999880790710449, 0.9996589422225952, 0.9994614720344543, 0.9990903735160828]
+CN(C)c1ccc(-c2ccnc3[nH]cnc23)cc1Cl; ['Brc1ccnc2[nH]cnc12', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Brc1ccnc2[nH]cnc12', 'CN(C)c1ccc(Br)cc1Cl']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CN(C)c1ccc(Br)cc1Cl', 'c1cnc2[nH]cnc2c1']; [0.9999995231628418, 0.9999983310699463, 0.999988317489624, 0.9856435060501099, 0.9706180095672607]
+CCN(CC)C(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'Brc1ccnc2[nH]cnc12', 'CCN(CC)C(=O)c1ccc(I)cc1']; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'c1cnc2[nH]cnc2c1']; [0.9999964237213135, 0.9999874830245972, 0.9999458193778992, 0.9990603923797607, 0.998958170413971, 0.9915886521339417, 0.9435052871704102, 0.8893917798995972]
+c1ccc2c(-c3ccnc4[nH]cnc34)c[nH]c2c1; ['Brc1ccnc2[nH]cnc12']; ['OB(O)c1c[nH]c2ccccc12']; [0.967606782913208]
+c1ccc(-n2cccn2)c(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Clc1ccnc2[nH]cnc12', 'OB(O)c1ccccc1-n1cccn1']; [0.9996771812438965, 0.9993734359741211, 0.9968712329864502, 0.9923170804977417, 0.9789857864379883, 0.8277119398117065]
+CC(=O)N1CCCN(c2cccc(-c3ccnc4[nH]cnc34)c2)CC1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+COc1cc(OC)c(-c2ccnc3[nH]cnc23)cc1Cl; [None]; [None]; [0]
+c1cc(-c2ccc3c(c2)CCO3)c2nc[nH]c2n1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2']; [0.9999964237213135, 0.9999905824661255, 0.999772310256958, 0.9995789527893066, 0.9880346059799194]
+CC(=O)Nc1cccc(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccnc2[nH]cnc12', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Brc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CC(=O)Nc1cccc(B(O)O)c1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'c1cnc2[nH]cnc2c1', 'CC(=O)Nc1cccc([B-](F)(F)F)c1', 'CC(=O)Nc1cccc(Br)c1']; [0.9999927282333374, 0.9999470710754395, 0.9998459815979004, 0.9996020793914795, 0.99775630235672, 0.9953242540359497, 0.9936544895172119, 0.9883651733398438, 0.8904175758361816]
+c1cc2c(c(-c3ccnc4[nH]cnc34)c1)OCO2; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12']; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2']; [0.9998878240585327, 0.999567985534668, 0.9945454597473145, 0.9701646566390991]
+CC(C)c1ccc2nc(-c3ccnc4[nH]cnc34)[nH]c2c1; [None]; [None]; [0]
+COc1cc(-c2ccnc3[nH]cnc23)ccc1O; ['Brc1ccnc2[nH]cnc12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'Brc1ccnc2[nH]cnc12', 'COc1cc(B(O)O)ccc1O']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'COc1cc(B(O)O)ccc1O', 'Clc1ccnc2[nH]cnc12']; [0.9999925494194031, 0.9999798536300659, 0.9997929930686951, 0.999657154083252, 0.9996336102485657, 0.927588939666748]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999987483024597, 0.999988317489624, 0.9998853802680969, 0.9995938539505005, 0.99654221534729]
+c1cc(-c2scc3c2OCCO3)c2nc[nH]c2n1; [None]; [None]; [0]
+c1ccc2ncc(-c3ccnc4[nH]cnc34)cc2c1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'OB(O)c1cnc2ccccc2c1', 'Clc1ccnc2[nH]cnc12', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1']; [0.9999921321868896, 0.99986732006073, 0.9995355606079102, 0.9989153146743774, 0.9983827471733093, 0.9742195010185242]
+CN(C)C(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999968409538269, 0.999992311000824, 0.9999604225158691, 0.99965500831604, 0.9992956519126892, 0.9976099729537964]
+CC(C)(C)c1ccc(-c2ccnc3[nH]cnc23)cn1; ['Brc1ccnc2[nH]cnc12', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1ccnc2[nH]cnc12', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Brc1ccnc2[nH]cnc12']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CC(C)(C)c1ccc(Br)cn1']; [0.9999926090240479, 0.9999644756317139, 0.9998598098754883, 0.9990516901016235, 0.9948972463607788, 0.9748800992965698, 0.9079321622848511]
+Nc1nc(-c2ccnc3[nH]cnc23)cs1; [None]; [None]; [0]
+CC1(COc2ccnc3[nH]cnc23)COC1; ['CC1(CBr)COC1', 'CC1(CCl)COC1']; ['Oc1ccnc2[nH]cnc12', 'Oc1ccnc2[nH]cnc12']; [0.9744751453399658, 0.9481498003005981]
+c1ccc(-c2cc(-c3ccnc4[nH]cnc34)n[nH]2)cc1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2ccnc3[nH]cnc23)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COC(=O)c1cccc(OC)c1', 'COc1cccc(C(=O)Oc2ccccc2)c1', 'COc1cccc(C(=O)Cl)c1', 'CCOC(=O)c1cccc(OC)c1']; ['Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'O=[N+]([O-])c1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12']; [0.9995533227920532, 0.9984521865844727, 0.9979654550552368, 0.9963648319244385, 0.9896118640899658, 0.9840275049209595]
+CC(=O)N[C@@H]1CC[C@@H](c2ccnc3[nH]cnc23)CC1; [None]; [None]; [0]
+CSc1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CSc1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999899864196777, 0.9999554753303528, 0.999549388885498, 0.9971343278884888, 0.9905198812484741, 0.8938184380531311]
+Clc1cccc(-n2ccc(-c3ccnc4[nH]cnc34)n2)c1; [None]; [None]; [0]
+c1ccc2sc(-c3ccnc4[nH]cnc34)cc2c1; ['Brc1ccnc2[nH]cnc12']; ['OB(O)c1cc2ccccc2s1']; [0.9999339580535889]
+Fc1ccc(-c2ccnc3[nH]cnc23)c(Cl)c1; ['Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [0.9998940825462341, 0.9985281229019165, 0.9891005754470825]
+CCN1CCN(Cc2ccc(-c3ccnc4[nH]cnc34)cc2)CC1; [None]; [None]; [0]
+CCc1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CCc1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999930262565613, 0.9999164342880249, 0.9998018741607666, 0.9982025027275085, 0.9888147115707397, 0.9669748544692993]
+O=C1CCc2cc(-c3ccnc4[nH]cnc34)ccc2N1; [None]; [None]; [0]
+COc1ccc(CNc2ccnc3[nH]cnc23)cc1; ['COc1ccc(CN)cc1', 'Brc1ccnc2[nH]cnc12', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1']; ['Ic1ccnc2[nH]cnc12', 'COc1ccc(CN)cc1', 'Clc1ccnc2[nH]cnc12', 'Oc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12']; [0.9950475096702576, 0.9942150115966797, 0.9141894578933716, 0.8603988885879517, 0.8545653223991394]
+Clc1ccc(-c2ccnc3[nH]cnc23)c(Cl)c1; ['Brc1ccnc2[nH]cnc12']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.9998747110366821]
+Cc1cc(-c2ccnc3[nH]cnc23)nc(N)n1; [None]; [None]; [0]
+Brc1cnc(-c2ccnc3[nH]cnc23)nc1; [None]; [None]; [0]
+COc1ccc(-c2ccnc3[nH]cnc23)cc1OC; [None]; [None]; [0]
+c1cc2cnc(-c3ccnc4[nH]cnc34)nn2c1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+c1ccn2nc(-c3ccnc4[nH]cnc34)cc2c1; [None]; [None]; [0]
+Cn1cc(-c2ccnc3[nH]cnc23)c(C(F)(F)F)n1; ['Brc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Clc1ccnc2[nH]cnc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Ic1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; [0.9999159574508667, 0.9997587203979492, 0.9997257590293884, 0.9992271661758423, 0.8331474661827087]
+O=C(C1CC1)N1CC(Nc2ccnc3[nH]cnc23)C1; [None]; [None]; [0]
+COc1cc(-c2ccnc3[nH]cnc23)ccc1N1CCOCC1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3ccnc4[nH]cnc34)c2c1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Ic1ccnc2[nH]cnc12']; [0.9997448921203613, 0.996574878692627]
+COc1cc(F)c(-c2ccnc3[nH]cnc23)cc1OC; ['Brc1ccnc2[nH]cnc12', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['COc1cc(F)c(B(O)O)cc1OC', 'Ic1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.999265193939209, 0.9989665746688843, 0.9728606939315796, 0.9199970960617065]
+CC1(C)Cc2cc(-c3ccnc4[nH]cnc34)ccc2O1; [None]; [None]; [0]
+COc1cc(-c2ccnc3[nH]cnc23)ccc1Cl; ['Brc1ccnc2[nH]cnc12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'Brc1ccnc2[nH]cnc12', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Brc1ccnc2[nH]cnc12']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'COc1cc(B(O)O)ccc1Cl', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'c1cnc2[nH]cnc2c1', 'c1cnc2[nH]cnc2c1', 'COc1cc(Br)ccc1Cl']; [0.9999979734420776, 0.9999953508377075, 0.9999394416809082, 0.9997979402542114, 0.9997435808181763, 0.9830396175384521, 0.9568649530410767, 0.9070749878883362, 0.779196560382843]
+COc1ccc2cccc(-c3ccnc4[nH]cnc34)c2c1; [None]; [None]; [0]
+Cc1csc2c(-c3ccnc4[nH]cnc34)ncnc12; [None]; [None]; [0]
+Clc1cnc(-c2ccnc3[nH]cnc23)nc1; [None]; [None]; [0]
+OCCn1cc(-c2ccnc3[nH]cnc23)cn1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1']; [0.9998964071273804, 0.9998928308486938, 0.9981963038444519, 0.9979205131530762, 0.9939322471618652, 0.9626109600067139, 0.7934455871582031]
+Cc1cc(Nc2ccnc3[nH]cnc23)nn1C; ['Brc1ccnc2[nH]cnc12', 'Cc1cc(Br)nn1C', 'Cc1cc(Cl)nn1C', 'Cc1cc(N)nn1C', 'Cc1cc(N)nn1C']; ['Cc1cc(N)nn1C', 'Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999082088470459, 0.999447226524353, 0.9972900152206421, 0.9834216833114624, 0.9660317897796631]
+CNC(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CNC(=O)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999985694885254, 0.9999863505363464, 0.9999585151672363, 0.9996715188026428, 0.9980413913726807, 0.9943920373916626]
+Cc1nc(Nc2ccnc3[nH]cnc23)sc1C; [None]; [None]; [0]
+COc1cc(-c2ccnc3[nH]cnc23)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'Brc1ccnc2[nH]cnc12']; ['Ic1ccnc2[nH]cnc12', 'COc1cc(B(O)O)c(OC)cc1Br']; [0.9897918701171875, 0.9623286128044128]
+O=C(Nc1ccnc2[nH]cnc12)c1ccco1; ['Nc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12']; ['O=C(Cl)c1ccco1', 'NC(=O)c1ccco1', 'O=C(O)c1ccco1']; [0.9830272197723389, 0.8981776237487793, 0.7955157160758972]
+Nc1cc(-c2ccnc3[nH]cnc23)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccnc3[nH]cnc23)nc1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccnc2[nH]cnc12', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccnc2[nH]cnc12', 'COc1cc(OC)cc(B(O)O)c1', 'Clc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999839067459106, 0.9999455213546753, 0.999814510345459, 0.9996127486228943, 0.9994858503341675, 0.9932383894920349]
+NC(=O)c1ccc(Cc2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+COc1ccc2oc(-c3ccnc4[nH]cnc34)cc2c1; ['Brc1ccnc2[nH]cnc12', 'COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(B(O)O)cc2c1', 'Brc1ccnc2[nH]cnc12']; ['COc1ccc2oc(B(O)O)cc2c1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'COc1ccc2occc2c1']; [0.9998726844787598, 0.9998538494110107, 0.9985147714614868, 0.9526022672653198]
+COc1cc(CS(C)(=O)=O)ccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ccnc3[nH]cnc23)CC1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2ccnc3[nH]cnc23)CC1; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2ccnc3[nH]cnc23)c1; [None]; [None]; [0]
+c1ccc2oc(-c3ccnc4[nH]cnc34)cc2c1; ['Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1']; [0.9999475479125977, 0.9998524785041809, 0.9987748861312866]
+CC(C)(C)c1ccc(C(=O)Nc2ccnc3[nH]cnc23)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)Cl)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'CCOC(=O)c1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1']; ['Nc1ccnc2[nH]cnc12', 'O=[N+]([O-])c1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12']; [0.9999183416366577, 0.9994896054267883, 0.9994544982910156, 0.9985330104827881, 0.9942628145217896, 0.9211481213569641, 0.818333625793457]
+c1cc(-c2ccc3cn[nH]c3c2)c2nc[nH]c2n1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+CCn1cc(-c2ccnc3[nH]cnc23)cn1; ['Brc1ccnc2[nH]cnc12', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1ccnc2[nH]cnc12', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CCn1cc(B(O)O)cn1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999424815177917, 0.9999197721481323, 0.9994754791259766, 0.9963787198066711, 0.9911927580833435, 0.968447208404541]
+COc1ccc2c(c1)c(-c1ccnc3[nH]cnc13)cn2C; [None]; [None]; [0]
+c1cc(-c2ncc3sccc3n2)c2nc[nH]c2n1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ccnc3[nH]cnc23)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9998862743377686, 0.9985318183898926, 0.993682861328125]
+c1cncc(-c2ccnc(-c3ccnc4[nH]cnc34)c2)c1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2ccnc3[nH]cnc23)c1; ['COc1ccc(F)c(C(=O)O)c1', 'COC(=O)c1cc(OC)ccc1F']; ['Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12']; [0.9967719316482544, 0.9959020614624023]
+Cn1cc(Br)cc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+COc1ccc2nc(-c3ccnc4[nH]cnc34)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccnc3[nH]cnc23)c2ccccc21; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3ccnc4[nH]cnc34)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccnc3[nH]cnc23)c1)N1CCCC1; [None]; [None]; [0]
+Cc1cc(-c2ccnc3[nH]cnc23)cc(C)c1OCCO; [None]; [None]; [0]
+CCc1cccc(-c2ccnc3[nH]cnc23)n1; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccnc4[nH]cnc34)ccc21; ['Brc1ccnc2[nH]cnc12', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Brc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Ic1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'c1cnc2[nH]cnc2c1', 'c1cnc2[nH]cnc2c1']; [1.0, 0.999999463558197, 0.9999948740005493, 0.9999939203262329, 0.9999914765357971, 0.9993187189102173, 0.9943422079086304, 0.973934531211853, 0.9644378423690796]
+CN(C)c1ccc(-c2ccnc3[nH]cnc23)cn1; ['Brc1ccnc2[nH]cnc12', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1ccnc2[nH]cnc12', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'Brc1ccnc2[nH]cnc12']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CN(C)c1ccc(B(O)O)cn1', 'Ic1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CN(C)c1ccc(I)cn1']; [0.9999919533729553, 0.9999825954437256, 0.9996768236160278, 0.9990371465682983, 0.9976959824562073, 0.988343358039856, 0.9822231531143188, 0.9641520977020264]
+CC(=O)N1CCC(n2cc(-c3ccnc4[nH]cnc34)cn2)CC1; ['Brc1ccnc2[nH]cnc12']; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; [0.9999992847442627]
+O=C(Nc1ccnc2[nH]cnc12)c1cccc(OC(F)(F)F)c1; ['Nc1ccnc2[nH]cnc12', None, 'Nc1ccnc2[nH]cnc12', 'O=C(Cl)c1cccc(OC(F)(F)F)c1', 'COC(=O)c1cccc(OC(F)(F)F)c1', 'Clc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', None, 'O=C(O)c1cccc(OC(F)(F)F)c1', 'O=[N+]([O-])c1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'NC(=O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1']; [0.9999929666519165, 0, 0.9998666048049927, 0.9991990923881531, 0.9979574680328369, 0.964741587638855, 0.9335265159606934]
+c1cc(-c2ncn3c2CCCC3)c2nc[nH]c2n1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3ccnc4[nH]cnc34)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ccnc4[nH]cnc34)ccc12; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2ccnc3[nH]cnc23)c1; [None]; [None]; [0]
+OCCc1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3ccnc4[nH]cnc34)cc2)n1C; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccnc3[nH]cnc23)c(Cl)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['CCNC(=O)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9997015595436096, 0.9981654286384583, 0.9948146343231201]
+COc1cc(-c2cnn(C)c2)ccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccnc3[nH]cnc23)c(OC)c1; ['Brc1ccnc2[nH]cnc12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9998434782028198, 0.997995138168335, 0.9918160438537598]
+Cn1nc(-c2ccnc3[nH]cnc23)cc1C(C)(C)O; [None]; [None]; [0]
+Cc1cc(Nc2ccnc3[nH]cnc23)ncc1F; ['Brc1ccnc2[nH]cnc12', 'Cc1cc(Br)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(Cl)ncc1F', 'Cc1cc(N)ncc1F']; ['Cc1cc(N)ncc1F', 'Nc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12']; [0.9998544454574585, 0.9998389482498169, 0.9995328783988953, 0.9992607831954956, 0.9977813363075256]
+Fc1ccc(Nc2ccnc3[nH]cnc23)nc1; ['Fc1ccc(Br)nc1', 'Brc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Fc1ccc(Cl)nc1']; ['Nc1ccnc2[nH]cnc12', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1ccnc2[nH]cnc12']; [0.998856782913208, 0.9988402724266052, 0.9988288879394531, 0.996412992477417]
+CS(=O)(=O)c1ccc(Cl)c(-c2ccnc3[nH]cnc23)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+c1ccc(Nc2ccnc3[nH]cnc23)nc1; ['Brc1ccnc2[nH]cnc12', 'Brc1ccccn1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccccn1']; ['Nc1ccccn1', 'Nc1ccnc2[nH]cnc12', 'Nc1ccccn1', 'Nc1ccnc2[nH]cnc12']; [0.9954190254211426, 0.9866759777069092, 0.9564416408538818, 0.9326849579811096]
+CN(C)C(=O)c1ccc(-c2ccnc3[nH]cnc23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'CNC(=O)c1ccccc1B(O)O']; ['CNC(=O)c1ccccc1B(O)O', 'Ic1ccnc2[nH]cnc12']; [0.9984501600265503, 0.9645837545394897]
+CCOc1ccccc1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'Ic1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999421238899231, 0.9997761845588684, 0.9989091157913208, 0.9937481880187988, 0.9888584017753601]
+CC(C)S(=O)(=O)c1ccccc1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12']; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; [0.9996418952941895]
+CNC(=O)c1ccc(C)c(-c2ccnc3[nH]cnc23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12']; ['Fc1cc(F)cc(C[Zn]Br)c1']; [0.9987953901290894]
+O=C([O-])c1ccccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+c1ccc2c(-c3ccnc4[nH]cnc34)ccnc2c1; ['Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.9992181062698364, 0.983702540397644, 0.9130868315696716]
+FC(F)(F)Oc1ccccc1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999855756759644, 0.999821662902832, 0.999771237373352, 0.9959133267402649, 0.9888795614242554]
+NC(=O)c1ccccc1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'NC(=O)c1ccccc1Br', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'NC(=O)c1ccccc1B(O)O', 'c1cnc2[nH]cnc2c1', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O']; [0.9998945593833923, 0.9986916780471802, 0.9971246123313904, 0.9929054379463196, 0.9672056436538696, 0.803722620010376, 0.7967212200164795]
+COC(C)(C)CCc1ccnc2[nH]cnc12; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Clc1ccnc2[nH]cnc12', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999904036521912, 0.9999569654464722, 0.9999029636383057, 0.9997960329055786, 0.9996179342269897, 0.9979702830314636]
+CP(C)(=O)c1ccccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccnc4[nH]cnc34)cc2c1=O; ['Brc1ccnc2[nH]cnc12']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9096544981002808]
+Cc1nnc(-c2ccccc2-c2ccnc3[nH]cnc23)[nH]1; [None]; [None]; [0]
+COc1cnc(-c2ccnc3[nH]cnc23)nc1; ['Brc1ccnc2[nH]cnc12']; ['COc1cncnc1']; [0.9355196952819824]
+c1ccc(Cn2cc(-c3ccnc4[nH]cnc34)cn2)cc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9995043277740479, 0.983705461025238, 0.9225274324417114]
+c1ccc(-c2ncc(-c3ccnc4[nH]cnc34)[nH]2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccnc3[nH]cnc23)c1)c1ccccc1; [None]; [None]; [0]
+O=c1c2c(F)cccc2cnn1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9953312277793884]
+CC(C)C(=O)COc1ccnc2[nH]cnc12; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccnc3[nH]cnc23)cs1; [None]; [None]; [0]
+c1ccn2c(-c3ccnc4[nH]cnc34)cnc2c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+Cc1ccc(-c2ccnc3[nH]cnc23)c(Br)c1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccnc3[nH]cnc23)s1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Ic1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9988569021224976, 0.9948877096176147, 0.956107497215271, 0.8967047929763794, 0.7798928022384644]
+Brc1cccc(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1']; [0.9998993873596191, 0.9998772144317627, 0.9991477727890015, 0.9968602657318115, 0.9958227276802063, 0.963396430015564]
+c1cncc(CNc2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12']; ['NCc1cccnc1', 'O=Cc1cccnc1']; [0.9885063171386719, 0.9833078384399414]
+Nc1nccc(-c2ccnc3[nH]cnc23)n1; ['Brc1ccnc2[nH]cnc12']; ['Nc1nccc(Cl)n1']; [0.9950649738311768]
+c1cc(Cn2cncn2)cc(-c2ccnc3[nH]cnc23)c1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+c1cncc(Nc2ccnc3[nH]cnc23)c1; ['Clc1cccnc1', 'Brc1ccnc2[nH]cnc12']; ['Nc1ccnc2[nH]cnc12', 'Nc1cccnc1']; [0.9424036741256714, 0.8880152702331543]
+c1ccc2cc(-c3ccnc4[nH]cnc34)ccc2c1; ['Brc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccnc2[nH]cnc12', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.9999961256980896, 0.9999772906303406, 0.9999594688415527, 0.9998998641967773, 0.999500572681427]
+c1cc(NCCc2c[nH]cn2)c2nc[nH]c2n1; ['Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9763633012771606, 0.9451960921287537]
+O=C(Nc1ccnc2[nH]cnc12)c1cccs1; ['Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'COC(=O)c1cccs1', 'Brc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['O=C(O)c1cccs1', 'O=C(Cl)c1cccs1', 'Nc1ccnc2[nH]cnc12', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1']; [0.998298168182373, 0.99726402759552, 0.9959644079208374, 0.9895801544189453, 0.9749470949172974]
+Cc1c(-c2ccnc3[nH]cnc23)sc(=O)n1C; [None]; [None]; [0]
+c1ccc2c(c1)ncn2-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+c1cnn2ncc(-c3ccnc4[nH]cnc34)c2c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Ic1ccnc2[nH]cnc12']; [0.9999401569366455, 0.9996340274810791]
+NC(=O)c1c(F)cccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+c1ccc2c(-c3ccnc4[nH]cnc34)cncc2c1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; [0.9997986555099487, 0.9997659921646118, 0.9991669058799744, 0.9272185564041138]
+c1ccc(CCNc2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'ClCCc1ccccc1', 'Ic1ccnc2[nH]cnc12']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'Nc1ccnc2[nH]cnc12', 'NCCc1ccccc1']; [0.9842870235443115, 0.8960549235343933, 0.8336800336837769, 0.8290569186210632]
+Cn1cc(-c2ccc(-c3ccnc4[nH]cnc34)cc2)cn1; ['Brc1ccnc2[nH]cnc12', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Clc1ccnc2[nH]cnc12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Ic1ccnc2[nH]cnc12', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [1.0, 0.9999997019767761, 0.9999970197677612]
+O=C([O-])Cc1cccc(-c2ccnc3[nH]cnc23)c1; [None]; [None]; [0]
+Clc1ccc(CNc2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'NCc1ccc(Cl)cc1']; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1', 'Oc1ccnc2[nH]cnc12']; [0.9984943270683289, 0.997010350227356, 0.9316023588180542, 0.9075697660446167, 0.8778778910636902]
+Nc1[nH]nc2cc(-c3ccnc4[nH]cnc34)ccc12; [None]; [None]; [0]
+OCc1cccc(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1']; [0.9999622702598572, 0.9998777508735657, 0.9994125366210938, 0.9965742826461792, 0.9879266619682312, 0.9625712037086487]
+Fc1ccccc1CNc1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; [0.9991716146469116, 0.992638111114502, 0.9043149352073669]
+CN1c2ccc(-c3ccnc4[nH]cnc34)cc2CS1(=O)=O; [None]; [None]; [0]
+c1cc(Nc2ccnc3[nH]cnc23)ccn1; ['Brc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Brc1ccncc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccnc2[nH]cnc12']; [0.99869704246521, 0.800607442855835, 0.7849059700965881]
+c1cc(-c2ccc(-c3cn[nH]c3)cc2)c2nc[nH]c2n1; [None]; [None]; [0]
+COc1cc(-c2ccnc3[nH]cnc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+CCCn1cnc(-c2ccnc3[nH]cnc23)n1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ccnc4[nH]cnc34)cc2c1; ['Brc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C']; [0.9999799132347107]
+Nc1ncncc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+CC(C)n1cc(-c2ccnc3[nH]cnc23)nn1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+CSc1nc(-c2ccnc3[nH]cnc23)c[nH]1; [None]; [None]; [0]
+c1cc(-c2csc3ncncc23)c2nc[nH]c2n1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; [0.9999686479568481, 0.9993658661842346, 0.9989385604858398]
+CCC(=O)Nc1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.9999915957450867, 0.9999066591262817, 0.9998056888580322]
+c1cc(CCc2c[nH]nn2)c2nc[nH]c2n1; [None]; [None]; [0]
+Fc1ccc(-c2ccnc3[nH]cnc23)c(C(F)(F)F)c1; ['Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9999515414237976, 0.9993381500244141, 0.997849702835083]
+c1ccc(Oc2ccnc3[nH]cnc23)nc1; ['Clc1ccccn1', 'Brc1ccccn1', 'Fc1ccccn1']; ['Oc1ccnc2[nH]cnc12', 'Oc1ccnc2[nH]cnc12', 'Oc1ccnc2[nH]cnc12']; [0.9847257137298584, 0.9809781312942505, 0.9072486162185669]
+CC(C)(COc1ccnc2[nH]cnc12)S(C)(=O)=O; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ccnc3[nH]cnc23)CC1; ['Brc1ccnc2[nH]cnc12', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['CS(=O)(=O)C1CCNCC1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.999222993850708, 0.9984365701675415, 0.9918195009231567]
+O=C(Nc1ccnc2[nH]cnc12)c1c(Cl)cccc1Cl; ['Nc1ccnc2[nH]cnc12', 'O=C(Cl)c1c(Cl)cccc1Cl', 'COC(=O)c1c(Cl)cccc1Cl', 'Nc1ccnc2[nH]cnc12', 'CCOC(=O)c1c(Cl)cccc1Cl', 'Clc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=[N+]([O-])c1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'O=C(O)c1c(Cl)cccc1Cl', 'Nc1ccnc2[nH]cnc12', 'NC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl']; [0.9997261166572571, 0.9986696243286133, 0.9982079267501831, 0.9981039762496948, 0.9813632965087891, 0.9625661373138428, 0.9398369789123535]
+CCNc1nc2ccc(-c3ccnc4[nH]cnc34)cc2s1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ccnc2[nH]cnc12; [None]; [None]; [0]
+COc1ccc(-c2ccnc3[nH]cnc23)cc1Cl; [None]; [None]; [0]
+NC(=O)CCCc1ccnc2[nH]cnc12; [None]; [None]; [0]
+CCCn1cc(-c2ccnc3[nH]cnc23)cn1; ['Brc1ccnc2[nH]cnc12', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1ccnc2[nH]cnc12', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CCCn1cc(B(O)O)cn1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.999995231628418, 0.9999872446060181, 0.9999194741249084, 0.9990832805633545, 0.9954702258110046, 0.9813234806060791]
+[NH3+]Cc1ccc(-c2ccnc3[nH]cnc23)cc1C(F)(F)F; [None]; [None]; [0]
+O=c1cc(-c2ccnc3[nH]cnc23)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3ccnc4[nH]cnc34)c21; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+CCN(CC)c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12']; ['CCNCC']; [0.8520296812057495]
+C[S@](=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CS(=O)c1ccc(B(O)O)cc1', 'Brc1ccnc2[nH]cnc12', 'CS(=O)c1ccc(B(O)O)cc1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'CS(=O)c1ccc(B(O)O)cc1', 'Clc1ccnc2[nH]cnc12']; [0.9999959468841553, 0.9997274875640869, 0.9995222091674805, 0.9835934638977051]
+c1ccn2ncc(-c3ccnc4[nH]cnc34)c2c1; [None]; [None]; [0]
+C[C@@H](Oc1ccnc2[nH]cnc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Ic1ccnc2[nH]cnc12', 'Oc1ccnc2[nH]cnc12']; [0.9887857437133789, 0.8798302412033081]
+COc1cc(CCc2ccnc3[nH]cnc23)cc(OC)c1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ccnc4[nH]cnc34)cc12; [None]; [None]; [0]
+O=c1[nH]cc(Br)c2sc(-c3ccnc4[nH]cnc34)cc12; [None]; [None]; [0]
+c1ccc2ncc(Nc3ccnc4[nH]cnc34)cc2c1; ['Brc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12', 'Nc1ccnc2[nH]cnc12']; [0.9992119073867798, 0.9960745573043823, 0.9948652982711792, 0.9296175241470337, 0.9216314554214478, 0.9078761339187622]
+c1cc2c(-c3ccnc4[nH]cnc34)c[nH]c2cn1; ['Brc1ccnc2[nH]cnc12']; ['OB(O)c1c[nH]c2cnccc12']; [0.9092187881469727]
+COc1cccc(F)c1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'Brc1ccnc2[nH]cnc12', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'Ic1ccnc2[nH]cnc12', 'COc1cccc(F)c1B(O)O', 'Clc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12']; [0.9999426603317261, 0.9993249177932739, 0.9990259408950806, 0.9887311458587646, 0.9865745306015015]
+COc1ccncc1Nc1ccnc2[nH]cnc12; [None]; [None]; [0]
+c1ccc(-c2ccncc2Nc2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccnc3[nH]cnc23)c1; [None]; [None]; [0]
+c1cc(-c2cnc3[nH]ccc3c2)c2nc[nH]c2n1; ['Brc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Clc1ccnc2[nH]cnc12', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; [0.9999986886978149, 0.9999430179595947, 0.9999337196350098, 0.9998276233673096, 0.9964731931686401, 0.9928576946258545]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccnc2[nH]cnc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccnc2[nH]cnc12']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [0.9999995231628418, 0.9999957084655762, 0.9999873638153076, 0.9999179840087891, 0.9996287822723389, 0.9982390403747559, 0.9591975212097168]
+CS(=O)(=O)c1ccc(-c2ccnc3[nH]cnc23)cc1; ['Brc1ccnc2[nH]cnc12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Brc1ccnc2[nH]cnc12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'c1cnc2[nH]cnc2c1']; [0.9999995827674866, 0.9999979734420776, 0.9999808669090271, 0.9997960329055786, 0.999605119228363, 0.9965981245040894, 0.795067548751831]
+CNC(=O)c1c(F)cccc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+CN(c1ccnc2[nH]cnc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC1(c2ccnc3[nH]cnc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@H](Nc1ccnc2[nH]cnc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cc1cc(-c2ccnc3[nH]cnc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; ['OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl']; [0.9998787641525269, 0.9915459156036377, 0.9879804849624634]
+OCc1ccn(-c2ccnc3[nH]cnc23)n1; [None]; [None]; [0]
+OCCc1cn(-c2ccnc3[nH]cnc23)cn1; [None]; [None]; [0]
+C[C@H](Nc1ccnc2[nH]cnc12)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1ccnc2[nH]cnc12)C(C)(C)O; [None]; [None]; [0]
+COc1ccc(-c2ccnc3[nH]cnc23)c(OC)c1; ['Brc1ccnc2[nH]cnc12', 'COc1ccc(B(O)O)c(OC)c1']; ['COc1ccc(B(O)O)c(OC)c1', 'Clc1ccnc2[nH]cnc12']; [0.999853253364563, 0.9924278259277344]
+Oc1ccc2nc(-c3ccnc4[nH]cnc34)[nH]c2c1; [None]; [None]; [0]
+c1cc(-c2ccc(-n3cncn3)cc2)c2nc[nH]c2n1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccnc3[nH]cnc23)[nH]1; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccnc3[nH]cnc23)cc1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+c1cc(-c2nncn2C2CC2)c2nc[nH]c2n1; [None]; [None]; [0]
+O=C(CCc1ccnc2[nH]cnc12)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(-c2ccc3nnc(Cc4ccnc5[nH]cnc45)n3n2)cc1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2ccnc3[nH]cnc23)n1; [None]; [None]; [0]
+Nc1nnc(-c2ccnc3[nH]cnc23)s1; ['NNC(N)=S']; ['O=C(O)c1ccnc2[nH]cnc12']; [0.9994771480560303]
+CCc1cc(-c2ccnc3[nH]cnc23)nc(N)n1; ['Brc1ccnc2[nH]cnc12']; ['CCc1cc(Cl)nc(N)n1']; [0.9997286796569824]
+O=S(=O)(Cc1ccnc2[nH]cnc12)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccnc4[nH]cnc34)nn2)cc1; [None]; [None]; [0]
+CCCCc1cc(-c2ccnc3[nH]cnc23)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccnc3[nH]cnc23)n1; [None]; [None]; [0]
+[NH3+]Cc1ccc(Oc2ccnc3[nH]cnc23)c(F)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccnc3[nH]cnc23)s1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3ccnc4[nH]cnc34)nc2NC1=O; [None]; [None]; [0]
+c1cc(-c2ccnc3[nH]cnc23)c2sccc2c1; ['Brc1ccnc2[nH]cnc12']; ['OB(O)c1cccc2ccsc12']; [0.9998339414596558]
+C[C@@H2]NC(=O)N1CCC(c2ccnc3[nH]cnc23)CC1; [None]; [None]; [0]
+Nc1cncc(-c2ccnc3[nH]cnc23)n1; ['Brc1ccnc2[nH]cnc12']; ['Nc1cncc(Br)n1']; [0.7515826225280762]
+Cn1cc(C(N)=O)cc1-c1ccnc2[nH]cnc12; [None]; [None]; [0]
+c1ccc2sc(-c3ccnc4[nH]cnc34)nc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccnc4[nH]cnc34)c2)cc1; [None]; [None]; [0]
+c1cc(-c2ccnc3[nH]cnc23)c2snnc2c1; [None]; [None]; [0]
+Nc1nc(-c2ccnc3[nH]cnc23)nc2ccccc12; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12']; ['COc1ccc(OC)c(B(O)O)c1']; [0.9997224807739258]
+c1cnc2c(-c3ccnc4[nH]cnc34)c[nH]c2c1; [None]; [None]; [0]
+c1cc(-c2ncc3cc[nH]c3n2)c2nc[nH]c2n1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccnc3[nH]cnc23)[nH]1; [None]; [None]; [0]
+COc1ccc(Oc2ccnc3[nH]cnc23)c(F)c1F; ['Brc1ccnc2[nH]cnc12', 'COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F']; ['COc1ccc(O)c(F)c1F', 'Oc1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Oc1ccnc2[nH]cnc12']; [0.9991507530212402, 0.9986745119094849, 0.9455541372299194, 0.8987452387809753]
+COc1ccc(C#N)cc1-c1ccnc2[nH]cnc12; ['Brc1ccnc2[nH]cnc12', 'Brc1ccnc2[nH]cnc12', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O']; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12']; [0.999854564666748, 0.9997725486755371, 0.9996644854545593, 0.9984960556030273, 0.9979512691497803, 0.9919223785400391]
+CN(C)S(=O)(=O)c1cccc(-c2ccnc3[nH]cnc23)c1; ['Brc1ccnc2[nH]cnc12', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccnc2[nH]cnc12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Brc1ccnc2[nH]cnc12']; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Ic1ccnc2[nH]cnc12', 'Clc1ccnc2[nH]cnc12', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; [0.9999996423721313, 0.999997615814209, 0.9999823570251465, 0.9999439716339111, 0.9998393654823303, 0.9989216327667236, 0.9948000311851501]
+OCCn1cnc(-c2ccnc3[nH]cnc23)c1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccnc3[nH]cnc23)CC1; [None]; [None]; [0]
+CCOc1ccccc1Nc1ccncc1OC; ['CCOc1ccccc1Br', 'CCOc1ccccc1N', 'CCOc1ccccc1N', 'CCOc1ccccc1Cl', 'CCOc1ccccc1N']; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1O']; [0.9999030828475952, 0.9997219443321228, 0.9995171427726746, 0.9963133335113525, 0.9774909019470215]
+COc1cnccc1Nc1ccccc1S(=O)(=O)C(C)C; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N']; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1N']; [0.9999536275863647, 0.9999046325683594, 0.9987183809280396, 0.9872338771820068]
+O=C(Nc1cccc(-c2ccnc3[nH]cnc23)c1)C1CCNCC1; [None]; [None]; [0]
+CNC(=O)c1ccccc1Nc1ccncc1OC; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1']; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1B(O)O', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1N']; [0.9999513030052185, 0.9997854232788086, 0.9995049238204956, 0.9991751313209534, 0.9991745352745056, 0.9968128204345703, 0.9680787324905396]
+c1ccc2[nH]c(C3CCN(c4ccnc5[nH]cnc45)CC3)nc2c1; [None]; [None]; [0]
+COc1cnccc1Nc1ccnc2ccccc12; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I', 'Brc1ccnc2ccccc12', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1O']; ['Ic1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Nc1ccnc2ccccc12', 'COc1cnccc1N', 'Nc1ccnc2ccccc12', 'Oc1ccnc2ccccc12', 'Nc1ccnc2ccccc12']; [0.9999675750732422, 0.9999642372131348, 0.9999463558197021, 0.9999169707298279, 0.9996628165245056, 0.9993329644203186, 0.9978930950164795]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccnc3[nH]cnc23)C1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccnc3[nH]cnc23)cnn1; [None]; [None]; [0]
+COc1cnccc1Nc1cccc(C(F)(F)F)c1; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1B(O)O', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I']; ['OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'Fc1cccc(C(F)(F)F)c1', 'O=S(=O)(Oc1cccc(C(F)(F)F)c1)C(F)(F)F', 'FC(F)(F)c1cccc(Cl)c1', 'Nc1cccc(C(F)(F)F)c1']; [0.9999839067459106, 0.9999662041664124, 0.9999498128890991, 0.9999005198478699, 0.9998663663864136, 0.9998259544372559, 0.9993178248405457, 0.9992177486419678, 0.9991607666015625]
+CCn1cc(Nc2ccncc2OC)cn1; ['CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'CCn1cc(Cl)cn1', 'CCn1cc(Br)cn1']; ['COc1cnccc1B(O)O', 'COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1N']; [0.9998019933700562, 0.9987063407897949, 0.9982234835624695, 0.9961844086647034, 0.9846010804176331]
+COc1cnccc1Nc1ccccc1P(C)(C)=O; ['COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1O', 'COc1ccncc1OC']; ['CP(C)(=O)c1ccccc1N', 'CP(C)(=O)c1ccccc1N', 'CP(C)(=O)c1ccccc1N', 'CP(C)(=O)c1ccccc1N']; [0.9999560117721558, 0.9996281862258911, 0.9905403256416321, 0.8760756850242615]
+COc1cnccc1Nc1ccccc1OC(F)(F)F; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1B(O)O', 'COc1cnccc1O']; ['FC(F)(F)Oc1ccccc1Br', 'Nc1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'Nc1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Cl', 'Fc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F']; [0.9999969601631165, 0.9999923706054688, 0.9999920129776001, 0.9999632835388184, 0.9999374747276306, 0.9999077320098877, 0.9998070001602173, 0.9997445940971375, 0.9956303834915161]
+COc1cnccc1N[C@H](C)c1cc(F)ccc1OC; [None]; [None]; [0]
+COc1cnccc1Nc1ccccc1C(=O)[O-]; ['COc1cnccc1N']; ['O=C([O-])c1ccccc1F']; [0.952114462852478]
 COc1cnccc1Nc1ccccc1-c1nnc(C)[nH]1; [None]; [None]; [0]
-COc1cnccc1Nc1ccccc1S(=O)(=O)C(C)C; [None]; [None]; [0]
-COc1cnccc1Nc1ccccc1P(C)(C)=O; [None]; [None]; [0]
-COc1cnccc1Nc1ccnc2ccccc12; [None]; [None]; [0]
-COc1cnccc1Nc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-COc1cnccc1Nc1ccccc1Br; [None]; [None]; [0]
-COc1cnccc1Nc1ccccc1OC(F)(F)F; [None]; [None]; [0]
-COc1cnccc1Nc1ccccc1C(=O)[O-]; [None]; [None]; [0]
-COc1cnccc1Nc1ccccc1C(N)=O; [None]; [None]; [0]
-COc1cnccc1Nc1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
+COc1cnccc1Nc1ccc2ncn(C)c(=O)c2c1; ['COc1cnccc1N']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9999949932098389]
+COc1cnccc1Nc1ccccc1C(N)=O; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1Br']; ['NC(=O)c1ccccc1F', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1N', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1N']; [0.9996814727783203, 0.996490478515625, 0.994432806968689, 0.9895457029342651, 0.9789432287216187, 0.9450330138206482]
+COc1cnccc1Nc1cnn(Cc2ccccc2)c1; ['COc1cnccc1I', 'COc1cnccc1B(O)O', 'COc1cnccc1Br', 'Brc1cnn(Cc2ccccc2)c1']; ['Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'COc1cnccc1N']; [0.9998554587364197, 0.999826192855835, 0.9997459650039673, 0.9989938735961914]
+COc1cnccc1Nc1cc(Cl)ccc1Cl; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1O']; ['Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'Nc1cc(Cl)ccc1Cl', 'Nc1cc(Cl)ccc1Cl', 'Nc1cc(Cl)ccc1Cl']; [0.9999807476997375, 0.9999716877937317, 0.9999584555625916, 0.999903678894043, 0.9938937425613403]
+COc1cnccc1Nc1ccc(C)cc1Br; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1N']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(Br)c(Br)c1']; [0.9999949336051941, 0.9999735355377197, 0.9987891912460327, 0.9987298846244812]
 COc1cnccc1Nc1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
-COc1cnccc1Nc1cnn(CCO)c1; [None]; [None]; [0]
-COc1cnccc1Nc1csc(C(C)(C)C)n1; [None]; [None]; [0]
-COc1cnccc1Nc1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
-COc1cnc(Nc2ccncc2OC)nc1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc(C)cc1Br; [None]; [None]; [0]
-COc1cnccc1Nc1c(C)nc2ccccn12; [None]; [None]; [0]
-COc1cnccc1Nc1cnc2ccccn12; [None]; [None]; [0]
+COc1cnc(Nc2ccncc2OC)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1Br']; [0.9999351501464844, 0.9998549222946167, 0.9996744394302368, 0.9988676905632019]
+COc1cnccc1Nc1cnn(CCO)c1; ['COc1cnccc1Br', 'COc1cnccc1N']; ['Nc1cnn(CCO)c1', 'OCCn1cc(Br)cn1']; [0.9997182488441467, 0.990428626537323]
+COc1cnccc1Nc1cccc(NC(=O)c2ccccc2)c1; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1B(O)O']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1']; [0.9999896287918091, 0.9999626278877258, 0.9999094009399414, 0.999707818031311]
+COc1cnccc1Nc1cnc2ccccn12; ['COc1cnccc1N', 'COc1cnccc1N', 'Brc1cnc2ccccn12', 'COc1cnccc1I', 'COc1cnccc1Br']; ['Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'COc1cnccc1N', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12']; [0.9999316930770874, 0.9982571601867676, 0.997732400894165, 0.9931946992874146, 0.881182849407196]
+COc1cnccc1Nc1cnc2cccnn12; ['COc1cnccc1I', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'Brc1cnc2cccnn12']; ['Nc1cnc2cccnn12', 'Nc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'COc1cnccc1N']; [0.9999719858169556, 0.9999274015426636, 0.9999032020568848, 0.9998635649681091]
+COc1cnccc1Nc1c(C)nc2ccccn12; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1Br']; ['Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1Br', 'Cc1nc2ccccn2c1N']; [0.9999874830245972, 0.9999642372131348, 0.9999587535858154, 0.9999150037765503]
 COc1cnccc1Nc1sc(C)nc1C; [None]; [None]; [0]
+COc1cnccc1Nc1c(Cl)cccc1Cl; ['COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1O']; ['Nc1c(Cl)cccc1Cl', 'Nc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Nc1c(Cl)cccc1Cl']; [0.9999709129333496, 0.9999425411224365, 0.9999326467514038, 0.9993002414703369, 0.9976535439491272]
+COc1cnccc1N[C@@H](N)c1ccco1; [None]; [None]; [0]
+COc1cnccc1Nc1cc(C)ccc1Cl; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1O', 'COc1cnccc1N']; ['Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(O)c1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(Cl)c1']; [0.9999783039093018, 0.9999513626098633, 0.999626874923706, 0.9995830059051514, 0.999454140663147, 0.9944643974304199, 0.9860334396362305]
+COc1cnccc1Nc1cccc(Cn2cncn2)c1; ['COc1cnccc1B(O)O', 'COc1cnccc1Br', 'COc1cnccc1I']; ['Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1']; [0.9999985694885254, 0.9999980926513672, 0.9999942779541016]
+COc1cnccc1Nc1cccc(Br)c1; ['Brc1cccc(I)c1', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1B(O)O', 'Brc1cccc(Br)c1', 'COc1cnccc1N', 'COc1cnccc1O', 'COc1cnccc1Br']; ['COc1cnccc1N', 'OB(O)c1cccc(Br)c1', 'Fc1cccc(Br)c1', 'Clc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'COc1cnccc1N', 'Oc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1cccc(Br)c1']; [0.9999943971633911, 0.9999887943267822, 0.9999727010726929, 0.9998792409896851, 0.9998695850372314, 0.9997100830078125, 0.999405026435852, 0.9990038871765137, 0.9958575963973999, 0.9838945865631104]
+COc1cnccc1Nc1ccnc(N)n1; ['COc1cnccc1N', 'COc1cnccc1Br']; ['Nc1nccc(Cl)n1', 'Nc1ccnc(N)n1']; [0.9999800324440002, 0.9998016357421875]
+COc1cnccc1Nc1ccc2ccccc2c1; ['COc1cnccc1N', 'COc1cnccc1N', 'Brc1ccc2ccccc2c1', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N']; ['OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'COc1cnccc1N', 'Nc1ccc2ccccc2c1', 'Fc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'O=S(=O)(Oc1ccc2ccccc2c1)C(F)(F)F']; [0.9999586939811707, 0.9998642802238464, 0.9998140335083008, 0.9997552633285522, 0.9997440576553345, 0.9996359348297119, 0.9995647072792053, 0.9995309114456177, 0.9991999864578247]
+COc1cnccc1Nc1csc(C(C)(C)C)n1; [None]; [None]; [0]
+COc1cnccc1NCc1ncc(C(C)(C)C)o1; ['CC(C)(C)c1cnc(CBr)o1', 'CC(C)(C)c1cnc(CCl)o1']; ['COc1cnccc1N', 'COc1cnccc1N']; [0.9968934059143066, 0.9659047722816467]
+COc1cnccc1Nc1cnn2ncccc12; ['Brc1cnn2ncccc12']; ['COc1cnccc1N']; [0.9992949962615967]
 CNc1nc(C)c(Nc2ccncc2OC)s1; [None]; [None]; [0]
 COc1cnccc1Nc1sc(N)nc1C; [None]; [None]; [0]
-COc1cnccc1Nc1cnc2cccnn12; [None]; [None]; [0]
-COc1cnccc1Nc1c(Cl)cccc1Cl; [None]; [None]; [0]
-COc1cnccc1Nc1cccc(Cn2cncn2)c1; [None]; [None]; [0]
-COc1cnccc1Nc1cc(C)ccc1Cl; [None]; [None]; [0]
+COc1cnccc1Nc1cccc(F)c1C(N)=O; ['COc1cnccc1Br', 'COc1cnccc1N']; ['NC(=O)c1c(N)cccc1F', 'NC(=O)c1c(F)cccc1Br']; [0.9980098009109497, 0.997934877872467]
+COc1cnccc1Nc1c[nH]nc1C(F)(F)F; ['COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1I']; ['Nc1c[nH]nc1C(F)(F)F', 'FC(F)(F)c1n[nH]cc1Br', 'Nc1c[nH]nc1C(F)(F)F']; [0.9998922348022461, 0.9998252391815186, 0.9997035264968872]
+COc1cnccc1Nc1cncc2ccccc12; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'Brc1cncc2ccccc12', 'COc1cnccc1Br', 'COc1cnccc1O', 'COc1cccnc1']; ['Clc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Ic1cncc2ccccc12', 'COc1cnccc1N', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12']; [0.9999732971191406, 0.9999086260795593, 0.9997588396072388, 0.9996473789215088, 0.9995898008346558, 0.9991762042045593, 0.9979276657104492, 0.994651198387146]
+COc1cnccc1Nc1ccc(-c2cnn(C)c2)cc1; ['COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1B(O)O']; ['Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1']; [0.9999977350234985, 0.9999946355819702, 0.9999915361404419, 0.9999774694442749]
 COc1cnccc1Nc1sc(=O)n(C)c1C; [None]; [None]; [0]
-COc1cnccc1Nc1ccnc(N)n1; [None]; [None]; [0]
-COc1cnccc1Nc1cnn2ncccc12; [None]; [None]; [0]
-COc1cccc(Nc2ccncc2OC)c1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc2ccccc2c1; [None]; [None]; [0]
-COc1cnccc1Nc1cncc2ccccc12; [None]; [None]; [0]
+COc1cnccc1Nc1cccc(O)c1; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1I']; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Nc1cccc(O)c1', 'Nc1cccc(O)c1']; [0.9997612237930298, 0.999710202217102, 0.9984595775604248, 0.9939064383506775]
+CCCn1cnc(Nc2ccncc2OC)n1; ['CCCn1cnc(N)n1', 'CCCn1cnc(N)n1', 'CCCn1cnc(N)n1']; ['COc1cnccc1B(O)O', 'COc1cnccc1Br', 'COc1cnccc1I']; [0.9997339844703674, 0.9996463060379028, 0.9903596639633179]
 COc1cnccc1Nc1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc(-c2cnn(C)c2)cc1; [None]; [None]; [0]
+COc1cnccc1Nc1cccc(CO)c1; ['COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N']; ['Nc1cccc(CO)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(F)c1', 'OCc1cccc(Cl)c1']; [0.999233067035675, 0.9992177486419678, 0.9977100491523743, 0.9968891143798828, 0.9967199563980103, 0.9941086769104004, 0.9916830062866211, 0.7923917174339294]
+COc1cnccc1Nc1ccc2c(cnn2C)c1; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1B(O)O', 'COc1cnccc1N']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(F)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(Cl)ccc21']; [0.9999994039535522, 0.9999972581863403, 0.9999967217445374, 0.9999958872795105, 0.9999750852584839, 0.9999508857727051, 0.9999284148216248, 0.9998632669448853]
+COc1cnccc1Nc1cn(C(C)C)nn1; ['CC(C)n1cc(N)nn1', 'CC(C)n1cc(N)nn1', 'CC(C)n1cc(N)nn1']; ['COc1cnccc1I', 'COc1cnccc1B(O)O', 'COc1cnccc1Br']; [0.9999549984931946, 0.9996697306632996, 0.9993239641189575]
 COc1cnccc1Nc1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc2c(c1)CS(=O)(=O)N2C; [None]; [None]; [0]
-COc1cnccc1Nc1ccc2c(cnn2C)c1; [None]; [None]; [0]
-CCCn1cnc(Nc2ccncc2OC)n1; [None]; [None]; [0]
-COc1cnccc1Nc1cccc(O)c1; [None]; [None]; [0]
-COc1cnccc1Nc1cccc(CO)c1; [None]; [None]; [0]
+COc1cnccc1Nc1ccc(-c2cn[nH]c2)cc1; ['COc1cnccc1Br', 'Brc1ccc(-c2cn[nH]c2)cc1', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1N']; ['Nc1ccc(-c2cn[nH]c2)cc1', 'COc1cnccc1N', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Clc1ccc(-c2cn[nH]c2)cc1', 'Fc1ccc(-c2cn[nH]c2)cc1']; [0.9999778866767883, 0.9999151229858398, 0.9999102354049683, 0.998637318611145, 0.9975204467773438]
 COc1cnccc1Nc1ccc(C(=O)[O-])c(OC)c1; [None]; [None]; [0]
-COc1cnccc1Nc1cn(C(C)C)nn1; [None]; [None]; [0]
+COc1cnccc1Nc1csc2ncncc12; ['Brc1csc2ncncc12']; ['COc1cnccc1N']; [0.9993032217025757]
 COc1cnccc1Nc1c[nH]c(SC)n1; [None]; [None]; [0]
-COc1cnccc1Nc1cnoc1C(C)C; [None]; [None]; [0]
-COc1cnccc1Nc1csc2ncncc12; [None]; [None]; [0]
-COc1cnccc1Nc1cccc(CCC#N)c1; [None]; [None]; [0]
+COc1cnccc1Nc1cc2ccccc2[nH]1; ['COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1N']; ['Fc1cc2ccccc2[nH]1', 'Nc1cc2ccccc2[nH]1', 'Nc1cc2ccccc2[nH]1', 'Clc1cc2ccccc2[nH]1']; [0.9995702505111694, 0.9866281151771545, 0.9791646003723145, 0.9771608710289001]
+COc1cnccc1Nc1ccc2c(c1)CS(=O)(=O)N2C; [None]; [None]; [0]
+COc1cnccc1Nc1cccc(CCC#N)c1; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(F)c1']; [0.9999951720237732, 0.9998568296432495, 0.9998489022254944]
+COc1cnccc1Nc1ccc(F)cc1C(F)(F)F; ['COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1N']; ['Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1']; [0.9999676942825317, 0.9998944997787476, 0.9998234510421753]
 CCNc1nc2ccc(Nc3ccncc3OC)cc2s1; [None]; [None]; [0]
-CC[C@H](CO)Nc1ccncc1OC; [None]; [None]; [0]
-CCC(=O)Nc1ccc(Nc2ccncc2OC)cc1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
-COc1cnccc1Nc1cccc(NC(C)=O)c1; [None]; [None]; [0]
+CC[C@H](CO)Nc1ccncc1OC; ['CC[C@@H](N)CO', 'CC[C@@H](N)CO', 'CC[C@@H](N)CO']; ['COc1cnccc1Br', 'COc1cnccc1O', 'COc1cnccc1I']; [0.998921275138855, 0.9981330037117004, 0.9975779056549072]
+COc1cnccc1NCc1c(F)cccc1F; ['COc1cnccc1N', 'COc1cnccc1B1OC(C)(C)C(C)(C)O1', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1O']; ['Fc1cccc(F)c1CBr', 'NCc1c(F)cccc1F', 'O=Cc1c(F)cccc1F', 'NCc1c(F)cccc1F', 'Fc1cccc(F)c1CCl', 'NCc1c(F)cccc1F', 'OCc1c(F)cccc1F', 'NCc1c(F)cccc1F']; [0.9999959468841553, 0.9999914765357971, 0.9999897480010986, 0.9999847412109375, 0.999982476234436, 0.9999507665634155, 0.9989528656005859, 0.998229444026947]
+COc1cnccc1Nc1cncnc1N; ['COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N']; ['Nc1cncnc1N', 'Nc1ncncc1I', 'Nc1cncnc1N', 'Nc1ncncc1Br']; [0.9868529438972473, 0.9843589663505554, 0.9622146487236023, 0.9388824701309204]
+CCC(=O)Nc1ccc(Nc2ccncc2OC)cc1; ['CCC(=O)Nc1ccc(N)cc1']; ['COc1cnccc1Br']; [0.9981272220611572]
+COc1ccc(Nc2ccncc2OC)cc1Cl; ['COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(F)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl']; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1B(O)O', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1O']; [0.9999116659164429, 0.9995747804641724, 0.9995652437210083, 0.9995088577270508, 0.9986540675163269, 0.9975703954696655, 0.9868096709251404, 0.9625463485717773]
+COc1cnccc1Nc1cnoc1C(C)C; [None]; [None]; [0]
+COc1cnccc1Nc1cccc(NC(C)=O)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(F)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(N)c1']; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'COc1cnccc1I']; [0.9999847412109375, 0.9999736547470093, 0.9999697804450989, 0.9999679923057556, 0.999859631061554, 0.9994704723358154, 0.9990577101707458]
+COc1cnccc1Nc1cnn2ccccc12; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'Brc1cnn2ccccc12', 'COc1cnccc1O', 'COc1cnccc1B(O)O', 'COc1cnccc1I', 'COc1cnccc1Br']; ['Clc1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'Ic1cnn2ccccc12', 'COc1cnccc1N', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12']; [0.9999872446060181, 0.999984860420227, 0.9999768733978271, 0.9999525547027588, 0.9997212886810303, 0.9993767738342285, 0.9993683099746704, 0.9873262643814087]
+CCCn1cc(Nc2ccncc2OC)cn1; ['CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(Cl)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Br)cn1']; ['COc1cnccc1B(O)O', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1N']; [0.9998958110809326, 0.9997978806495667, 0.9996435046195984, 0.9994637966156006, 0.9992773532867432, 0.994210422039032]
+COc1cnccc1NCc1cccc(S(C)(=O)=O)c1; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br']; ['CS(=O)(=O)c1cccc(CBr)c1', 'CS(=O)(=O)c1cccc(CN)c1', 'CS(=O)(=O)c1cccc(CCl)c1', 'CS(=O)(=O)c1cccc(C=O)c1', 'CS(=O)(=O)c1cccc(CN)c1']; [0.9999949932098389, 0.9999739527702332, 0.9999550580978394, 0.9999527931213379, 0.9998982548713684]
+COc1cnccc1Nc1cc[nH]c(=O)c1; ['COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N']; ['Nc1cc[nH]c(=O)c1', 'Nc1cc[nH]c(=O)c1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(Br)cc[nH]1', 'O=c1cc(Cl)cc[nH]1']; [0.9999716281890869, 0.9999615550041199, 0.9999500513076782, 0.9998812675476074, 0.9996110796928406]
 COc1cnccc1Nc1cn(C)c2ccccc12; [None]; [None]; [0]
-COc1ccc(Nc2ccncc2OC)cc1Cl; [None]; [None]; [0]
-COc1cnccc1Nc1cnn2ccccc12; [None]; [None]; [0]
+COc1cnccc1Nc1ccc(C(C)(C)N)cc1; ['CC(C)(N)c1ccc(N)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['COc1cnccc1Br', 'COc1cnccc1N']; [0.9941021203994751, 0.950060248374939]
+CCNS(=O)(=O)c1ccccc1Nc1ccncc1OC; ['CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1N', 'CCNS(=O)(=O)c1ccccc1N']; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1Br']; [0.9991909265518188, 0.9989172220230103, 0.9826868772506714]
+COc1cnccc1Nc1ccc([S@](C)=O)cc1; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1B(O)O', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1N']; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(N)cc1', 'CS(=O)c1ccc(N)cc1', 'CS(=O)c1ccc(N)cc1', 'CS(=O)c1ccc(F)cc1', 'CS(=O)c1ccc(Cl)cc1']; [0.9996933937072754, 0.9974618554115295, 0.996851921081543, 0.9956274032592773, 0.9955713748931885, 0.9683627486228943, 0.9307864904403687]
+COc1cnccc1Nc1cccc2c1C(=O)CC2; ['COc1cnccc1N', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1O']; ['O=C1CCc2cccc(Br)c21', 'Nc1cccc2c1C(=O)CC2', 'O=C1CCc2cccc(Cl)c21', 'Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'O=C1CCc2cccc(F)c21', 'Nc1cccc2c1C(=O)CC2']; [0.9992759227752686, 0.9984046220779419, 0.9981838464736938, 0.9975787401199341, 0.9893202185630798, 0.9834909439086914, 0.9823901057243347]
+COc1cnccc1NCc1cccnc1N(C)S(C)(=O)=O; ['CN(c1ncccc1CN)S(C)(=O)=O', 'CN(c1ncccc1CN)S(C)(=O)=O', 'CN(c1ncccc1CN)S(C)(=O)=O', 'CN(c1ncccc1C#N)S(C)(=O)=O']; ['COc1cnccc1I', 'COc1cnccc1O', 'COc1cnccc1Br', 'COc1cnccc1N']; [0.9998956918716431, 0.9991456270217896, 0.9989591240882874, 0.9748727083206177]
+COc1cnccc1Nc1cncc(OC(C)C)c1; ['CC(C)Oc1cncc(Br)c1']; ['COc1cnccc1N']; [0.9998143911361694]
+COc1cnccc1Nc1c(F)cccc1OC; ['COc1cccc(F)c1N', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1N', 'COc1cccc(F)c1I']; ['COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1N']; [0.9999748468399048, 0.9999639391899109, 0.9999541640281677, 0.9983553290367126]
+COc1cnccc1Nc1ccc(C(C)(C)C)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1']; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1B(O)O', 'COc1cnccc1O']; [0.9998548030853271, 0.9997547268867493, 0.9996875524520874, 0.9996308088302612, 0.9993823766708374, 0.9989423751831055, 0.9984707832336426, 0.9979644417762756, 0.9900602698326111]
+COc1cnccc1N[C@H](CO)c1ccccc1; ['COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1C=O', 'COc1cnccc1O']; ['N[C@H](CO)c1ccccc1', 'N[C@H](CO)c1ccccc1', 'N[C@H](CO)c1ccccc1', 'N[C@H](CO)c1ccccc1']; [0.9986120462417603, 0.9983115792274475, 0.9914156198501587, 0.9834439754486084]
 COc1cnccc1Nc1ccc(C[NH3+])c(C(F)(F)F)c1; [None]; [None]; [0]
-CCCn1cc(Nc2ccncc2OC)cn1; [None]; [None]; [0]
-COc1cnccc1Nc1cc[nH]c(=O)c1; [None]; [None]; [0]
-COc1cnccc1Nc1cccc2c1C(=O)CC2; [None]; [None]; [0]
-COc1cnccc1Nc1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc([S@](C)=O)cc1; [None]; [None]; [0]
-COc1cnccc1Nc1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
+COc1cnccc1Nc1cnc2[nH]ccc2c1; ['Brc1cnc2[nH]ccc2c1', 'COc1cnccc1N', 'COc1cnccc1B(O)O', 'COc1cnccc1Br', 'COc1cnccc1I']; ['COc1cnccc1N', 'Clc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1']; [0.9998530149459839, 0.9998353719711304, 0.9996607303619385, 0.9993507862091064, 0.9989180564880371]
+COc1cnccc1Nc1ccc(S(=O)(=O)NC(C)(C)C)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(F)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1']; ['COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I']; [0.9961782693862915, 0.966403603553772, 0.887762725353241, 0.8734742403030396]
+COc1cnccc1N[C@H](CO)Cc1ccccc1; ['COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1B(O)O', 'COc1cnccc1O', 'COc1cnccc1C=O']; ['N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1']; [0.9998105764389038, 0.999699592590332, 0.9996093511581421, 0.9986321926116943, 0.9982782006263733]
+COc1cnccc1Nc1c[nH]c2cnccc12; ['COc1cnccc1N', 'Brc1c[nH]c2cnccc12']; ['Ic1c[nH]c2cnccc12', 'COc1cnccc1N']; [0.9996687173843384, 0.9945982694625854]
+CNS(=O)(=O)c1ccc(Nc2ccncc2OC)cc1; ['CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(F)cc1']; ['COc1cnccc1N', 'COc1cnccc1B(O)O', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N']; [0.9991429448127747, 0.9921950101852417, 0.9805865287780762, 0.8347939252853394, 0.827934741973877, 0.787930965423584, 0.7727457284927368]
 COc1cnccc1Nc1cc2c(=O)[nH]cc(Br)c2s1; [None]; [None]; [0]
-COc1cnccc1Nc1c[nH]c2ccccc12; [None]; [None]; [0]
-COc1cnccc1Nc1c[nH]c2cnccc12; [None]; [None]; [0]
+COc1cnccc1Nc1ccc(N2CCOCC2)cc1; ['COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1B(O)O', 'COc1cnccc1I', 'COc1cnccc1N', 'Brc1ccc(N2CCOCC2)cc1', 'COc1cnccc1N']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'COc1cnccc1N', 'Clc1ccc(N2CCOCC2)cc1']; [0.9999977350234985, 0.9999937415122986, 0.9999933242797852, 0.9999895095825195, 0.999976634979248, 0.9999546408653259, 0.9997706413269043]
+COc1cnccc1Nc1c(F)cccc1Cl; ['COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1N']; ['Nc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br', 'Nc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Cl']; [0.999990701675415, 0.9999866485595703, 0.9999575614929199, 0.999910831451416, 0.9990546703338623]
+COc1cnccc1Nc1cc(C)nn1-c1cccc(Cl)c1; ['COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1B(O)O']; ['Cc1cc(N)n(-c2cccc(Cl)c2)n1', 'Cc1cc(N)n(-c2cccc(Cl)c2)n1', 'Cc1cc(N)n(-c2cccc(Cl)c2)n1']; [0.999955952167511, 0.999547004699707, 0.9932132959365845]
 CNC(=O)c1c(F)cccc1Nc1ccncc1OC; [None]; [None]; [0]
-COc1cnccc1Nc1cnc2[nH]ccc2c1; [None]; [None]; [0]
 COc1cnccc1NC1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc(S(=O)(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2ccncc2OC)cc1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
-COc1cnccc1Nc1cccc(F)c1C(N)=O; [None]; [None]; [0]
-COc1cnccc1Nc1cccnc1O; [None]; [None]; [0]
-COc1cnccc1Nc1ccc(-n2cncn2)cc1; [None]; [None]; [0]
-COc1cnccc1Nc1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+COc1cnccc1Nc1ccc(-n2cncn2)cc1; ['COc1cnccc1I', 'COc1cnccc1B(O)O', 'COc1cnccc1Br', 'COc1cnccc1O', 'COc1cnccc1N', 'COc1cnccc1N']; ['Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Oc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1']; [0.9999725222587585, 0.9999595880508423, 0.9999516010284424, 0.9999192953109741, 0.999835729598999, 0.9997539520263672]
+COc1cnccc1Nc1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
+COc1cnccc1Nc1ccc(S(C)(=O)=O)cc1; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1B(O)O', 'COc1cnccc1Br', 'COc1cnccc1O']; ['CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(F)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1']; [0.9998636245727539, 0.9995712637901306, 0.9995306730270386, 0.9994193315505981, 0.9989356994628906, 0.9985054731369019, 0.9982892274856567, 0.9971902966499329, 0.9950020909309387]
+COc1ccc(Nc2ccncc2OC)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(F)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(N)c(OC)c1']; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1B1OC(C)(C)C(C)(C)O1', 'COc1cnccc1I', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'COc1cnccc1O']; [0.999700665473938, 0.9996682405471802, 0.999550461769104, 0.9993739128112793, 0.9991894960403442, 0.9991813898086548, 0.9985067844390869, 0.9980294108390808, 0.9979766607284546, 0.9958353638648987, 0.9550230503082275]
+COc1cnccc1Nc1ccc(C(=O)c2ccccc2)cc1; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1O', 'COc1cnccc1N']; ['O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'O=C(c1ccccc1)c1ccc(F)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'O=C(c1ccccc1)c1ccc(O)cc1']; [0.9998485445976257, 0.9997903108596802, 0.9997837543487549, 0.9997804164886475, 0.9997718930244446, 0.9989100098609924, 0.9973265528678894, 0.9965578317642212, 0.9897799491882324, 0.9887136220932007]
+CCc1cc(Nc2ccncc2OC)nc(N)n1; ['CCc1cc(Cl)nc(N)n1', 'CCc1cc(N)nc(N)n1', 'CCc1cc(N)nc(N)n1']; ['COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1B(O)O']; [0.9999957084655762, 0.9999916553497314, 0.9999126195907593]
+COc1cnccc1N[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
+CCCCc1cc(Nc2ccncc2OC)nc(N)n1; [None]; [None]; [0]
 COc1cnccc1Nc1[nH]c(SC)nc1C; [None]; [None]; [0]
-COc1ccc(Nc2ccncc2OC)c(OC)c1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
-COc1cnccc1Nc1nncn1C(C)C; [None]; [None]; [0]
-COc1cnccc1Nc1nncn1C1CC1; [None]; [None]; [0]
 COc1cnccc1Nc1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+COc1cnccc1Nc1nncn1C1CC1; [None]; [None]; [0]
+COc1cnccc1Nc1cccc(C(C)(C)O)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1']; ['COc1cnccc1N', 'COc1cnccc1N']; [0.9999884963035583, 0.9998763799667358]
 COc1cnccc1Nc1ccn(CC[NH3+])n1; [None]; [None]; [0]
-CCc1cc(Nc2ccncc2OC)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(Nc2ccncc2OC)nc(N)n1; [None]; [None]; [0]
-COc1cnccc1Nc1cnc(N)s1; [None]; [None]; [0]
+COc1cnccc1Nc1nncn1C(C)C; [None]; [None]; [0]
+COc1cnccc1Nc1nc2ccccc2s1; ['Brc1nc2ccccc2s1', 'COc1cnccc1N', 'COc1cnccc1Br']; ['COc1cnccc1N', 'Clc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; [0.9999817609786987, 0.9999709129333496, 0.9996086359024048]
 COc1cnccc1Nc1nnc(N)s1; [None]; [None]; [0]
-COc1cnccc1Nc1cc(C(N)=O)cn1C; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(Nc2ccncc2OC)CC1; ['CCNC(=O)N1CCC(N)CC1']; ['COc1cnccc1Br']; [0.9996651411056519]
 CNC(=O)c1ccc(Nc2ccncc2OC)s1; [None]; [None]; [0]
-COc1cnccc1Nc1c(F)cccc1OC; [None]; [None]; [0]
-COc1cnccc1Nc1nc2ccccc2s1; [None]; [None]; [0]
-COc1cnccc1Nc1ccc2c(n1)NC(=O)C(C)(C)O2; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(Nc3ccncc3OC)c2)cc1; [None]; [None]; [0]
-COc1cnccc1Nc1cccc2ccsc12; [None]; [None]; [0]
-COc1cnccc1Nc1cccc2nnsc12; [None]; [None]; [0]
+COc1cnccc1Nc1cncc(N)n1; ['COc1cnccc1N', 'COc1cnccc1N']; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1']; [0.999983549118042, 0.9998818039894104]
+COc1cnccc1Nc1ccc2c(n1)NC(=O)C(C)(C)O2; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O']; ['COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1O']; [0.9988004565238953, 0.988357424736023, 0.90956711769104, 0.8637356758117676]
+COc1cnccc1Nc1cccc2ccsc12; ['Brc1cccc2ccsc12']; ['COc1cnccc1N']; [0.9993693828582764]
 COc1cnccc1NCCCNC(=O)c1cccs1; [None]; [None]; [0]
+COc1cnccc1Nc1cccc2nnsc12; ['COc1cnccc1N', 'Brc1cccc2nnsc12', 'COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1O', 'COc1cccnc1', 'COc1cnccc1N']; ['Clc1cccc2nnsc12', 'COc1cnccc1N', 'Nc1cccc2nnsc12', 'Nc1cccc2nnsc12', 'Nc1cccc2nnsc12', 'Nc1cccc2nnsc12', 'c1ccc2snnc2c1']; [0.9999925494194031, 0.9999808073043823, 0.9999626874923706, 0.9999361634254456, 0.9998540878295898, 0.8281289935112, 0.7914594411849976]
 COc1cnccc1NCCCNC(=O)C1CCC1; [None]; [None]; [0]
+COc1cnccc1Nc1cc(C(N)=O)cn1C; [None]; [None]; [0]
+COc1cnccc1Nc1c[nH]c2cccnc12; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1I', 'Brc1c[nH]c2cccnc12']; ['Ic1c[nH]c2cccnc12', 'Clc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12', 'COc1cnccc1N']; [0.9999809265136719, 0.9991261959075928, 0.9987473487854004, 0.9981943368911743, 0.995011568069458]
+COc1cnccc1Nc1ncc2ccccc2n1; ['Brc1ncc2ccccc2n1', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1Br']; ['COc1cnccc1N', 'Clc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.9999992847442627, 0.9999967813491821, 0.9999881982803345, 0.9999867677688599]
+COc1cnccc1NCc1ccccc1NS(C)(=O)=O; ['COc1cnccc1I', 'COc1cnccc1N', 'COc1cnccc1Br']; ['CS(=O)(=O)Nc1ccccc1CN', 'CS(=O)(=O)Nc1ccccc1C=O', 'CS(=O)(=O)Nc1ccccc1CN']; [0.9998284578323364, 0.999670684337616, 0.9964839220046997]
+CNC(=O)c1ccc(NC(=O)c2cccc(Nc3ccncc3OC)c2)cc1; [None]; [None]; [0]
+COc1ccc(C#N)cc1Nc1ccncc1OC; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1O', 'COc1ccc(C#N)cc1F', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N']; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1O']; [0.9999918937683105, 0.999981701374054, 0.9999521970748901, 0.9999397993087769, 0.9999386668205261, 0.9999275207519531, 0.9999064207077026, 0.9998388290405273, 0.9998306035995483, 0.9998142719268799]
+COc1ccc(OC)c(Nc2ccncc2OC)c1; ['COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(O)c1']; ['COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1O', 'COc1cnccc1N']; [0.9995533227920532, 0.9995232224464417, 0.9991164207458496, 0.9981215000152588, 0.9952080845832825, 0.9913141131401062, 0.9897238612174988]
+COc1cnccc1Nc1cn(CCO)cn1; [None]; [None]; [0]
+COc1cnccc1Nc1cccnc1OC; ['COc1cnccc1Br', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1N', 'COc1cnccc1I']; ['COc1ncccc1N', 'COc1ncccc1N', 'COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1Cl', 'COc1ncccc1N']; [0.9998605251312256, 0.9997515678405762, 0.9990360736846924, 0.9985686540603638, 0.997955322265625, 0.9884772896766663]
+COc1cnccc1Nc1cccc(S(=O)(=O)N(C)C)c1; ['CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1']; ['COc1cnccc1N', 'COc1cnccc1I', 'COc1cnccc1Br', 'COc1cnccc1N', 'COc1cnccc1B(O)O']; [0.9999861717224121, 0.9999827146530151, 0.999893069267273, 0.9998313188552856, 0.9987550973892212]
+COc1cnccc1N[C@H]1CC[C@@](C)(O)CC1; ['COc1cnccc1Br', 'COc1cnccc1I', 'COc1cnccc1B(O)O', 'COc1cnccc1N', 'COc1cnccc1O', 'COc1ccncc1OC']; ['C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1']; [0.9999205470085144, 0.9993966817855835, 0.9992225766181946, 0.9977127313613892, 0.9970685243606567, 0.9761133193969727]
 COc1cnccc1Nc1cnc(NC(C)=O)[nH]1; [None]; [None]; [0]
-COc1cnccc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-COc1cnccc1Nc1c[nH]c2cccnc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1Nc1ccncc1OC; [None]; [None]; [0]
 COc1cnccc1Nc1ncc2cc[nH]c2n1; [None]; [None]; [0]
-COc1cnccc1N[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(Nc2ccncc2OC)c1; [None]; [None]; [0]
-COc1cnccc1Nc1cccc(C(C)(C)O)n1; [None]; [None]; [0]
 COc1cnccc1Nc1cnnc(N(C)C)c1; [None]; [None]; [0]
-COc1cnccc1NN1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
-COc1cnccc1Nc1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
-CCOc1ccc(-c2cc(N)n3ncc(CC)c3n2)cc1; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-n3cnc4ccc(C)cc43)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc(S(C)(=O)=O)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(N(C)C(C)=O)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ncc4ccccc4n3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3sc(C(C)(C)O)nc3C)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccnc3OC)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc(S(C)(=O)=O)c3)nc12; [None]; [None]; [0]
+CCOc1ccc(-c2cc(N)n3ncc(CC)c3n2)cc1; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc(OC)c(OC)c(OC)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cnc4cccnn34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ncc4ccccc4n3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(O)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(OC)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(N4CCOCC4)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc(NC(=O)C4CC4)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3nc4ccccc4[nH]3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(CC(=O)N4CCN(C(C)=O)CC4)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(NS(C)(=O)=O)nc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(C#N)ccc3O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3sc(C(C)(C)O)nc3C)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Nc3ncccn3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cnc4cccnn34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(=O)[O-])cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(N)=O)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(Nc3ncccn3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc(NC(=O)C4CC4)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(CC(=O)N4CCN(C(C)=O)CC4)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3nc4ccccc4[nH]3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3nccc4ccccc34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(=O)Nc4ccccc4)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(Cc3nccc4ccccc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cnn(Cc4cccc(C#N)c4)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(OCCO)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(S(=O)(=O)NC)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(CNC(C)=O)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc(C4CCNCC4)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(=O)N4CCOCC4)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(C(=O)N4CCOCC4)cn3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C(F)(F)F)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(OC[C@H](C)O)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc(C4CCNCC4)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(OC[C@@H](C)O)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(S(=O)(=O)NC)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc4c(c3)CS(=O)(=O)C4)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(C(F)(F)F)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(N(C)C)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C(=O)N4CCOCC4)cn3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(S(=O)(=O)N(C)C)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(N(C)C)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3sc(C)nc3C)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(C3CCN(S(C)(=O)=O)CC3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Cc3cnc(N)nc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Cc3ccccc3O)nc12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc(N)n3ncc(CC)c3n2)cc1; [None]; [None]; [0]
 CCc1cnn2c(N)cc([C@H]3CCN(C(=O)c4ccccc4)C3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc(C(C)C)nc(N)n3)nc12; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(N)n3ncc(CC)c3n2)cc1; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(Br)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(N(C)C)c(Cl)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(S(=O)(=O)NC)cc3C)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(N4CCCN(C(C)=O)CC4)c3)nc12; [None]; [None]; [0]
 CCCOc1ccc(-c2cc(N)n3ncc(CC)c3n2)nc1; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(C(=O)[O-])c3C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(Br)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(N(C)C)c(Cl)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C(=O)N(CC)CC)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccccc3-n3cccn3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(Cl)c(OC)cc3OC)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc(Cl)ccc3OC)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Cc3ccc(OC)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccn4nccc4n3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3c[nH]c4ccccc34)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(Cl)c(OC)cc3OC)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc4c(c3)CCO4)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3nc4ccc(C(C)C)cc4[nH]3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc4ccccc4cn3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(-c4ccccc4)[nH]n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc4c3OCO4)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(O)c(OC)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(NC(C)=O)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(=O)N4CCOCC4)cc3OC)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(O)c(OC)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc4c3OCO4)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3scc4c3OCCO4)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3nc4ccc(C(C)C)cc4[nH]3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(-c4ccccc4)[nH]n3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(C)(C)C)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cnc4ccccc4c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(C(=O)N(C)C)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(C)(C)C)nc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Cc3nc4ccc(F)c(F)c4[nH]3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3scc4c3OCCO4)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Cc3nc4c(F)c(F)ccc4[nH]3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C(=O)N(C)C)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Cc3nc4ccccc4[nH]3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc([C@@H]3CC[C@@H](NC(C)=O)CC3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C)[nH]c3=O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3csc(N)n3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(NC(=O)c3cccc(OC)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(SC)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(CCCc3ccccc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccn(-c4cccc(Cl)c4)n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(F)cc3Cl)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(CN4CCN(CC)CC4)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc4ccccc4s3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc4c(c3)CCC(=O)N4)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc(C)nc(N)n3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc(SC)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc([C@@H](CC)CO)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(F)cc3Cl)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ncc(Br)cn3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc([C@H](CO)Cc3ccccc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(OC)c(OC)c3)nc12; [None]; [None]; [0]
 CCc1ccc(-c2cc(N)n3ncc(CC)c3n2)cc1; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(Cl)cc3Cl)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ncc4cccn4n3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(N4CCOCC4)c(OC)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc4ccccn4n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ncc(Br)cn3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cn(C)nc3C(F)(F)F)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc4c(c3)CC(C)(C)O4)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc4ccc(OC)cc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(N4CCOCC4)c(OC)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C(=O)N4CCC[C@@H]4C)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc4ccc(O)cc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ncc4cccn4n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(CCCn3cncn3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc(OC)c(OC)cc3F)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(Cl)c(OC)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ncc(Cl)cn3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc4c(c3)CC(C)(C)O4)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc4ccccn4n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc4ccc(OC)cc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cnn(CCO)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C(=O)NC)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(OC)c(Br)cc3OC)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ncnc4c(C)csc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ncc(Cl)cn3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc(N)nc4[nH]ccc34)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(OC)c(Br)cc3OC)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(OC)cc(OC)c3)nc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)n3ncc(CC)c3n2)nc1; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(CS(C)(=O)=O)cc3OC)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Cc3cc(OC)ccc3OC)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc([C@@H]3CC[C@@H](OC)CC3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc4cn[nH]c4c3)nc12; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2cc(N)n3ncc(CC)c3n2)CC1; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(OC)cc(OC)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cnn(CC)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cn(C)c4ccc(OC)cc34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc4cc(OC)ccc4o3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc4cn[nH]c4c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C[NH+](C)C)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(C(=O)NC)ccc3OC)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc(-c4cccnc4)ccn3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(C(=O)NC)ccc3OC)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(NC(=O)c3cc(OC)ccc3F)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc4ccccc4o3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(C(=O)NC)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(OC(F)(F)F)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ncc4sccc4n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(Br)cn3C)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cn(C)nc3C(C)C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(C(=O)N4CCC[C@@H]4C)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cn(C)c4ccccc34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(NC(=O)N4CCCC4)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3nc4ccc(OC)cc4[nH]3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(OC(F)(F)F)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(NC(=O)c3cc(OC)ccc3F)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cn(C)c4ccccc34)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc4ccc(C(C)(C)O)cc4[nH]3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(N(C)C)nc3)nc12; [None]; [None]; [0]
 CCc1cccc(-c2cc(N)n3ncc(CC)c3n2)n1; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ncn4c3CCCC4)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(C)c(OCCO)c(C)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(N(C)C)nc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc4c(C)n[nH]c4c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc4c(cnn4C)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc4ccc(C(C)(C)O)cc4[nH]3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(C)c(OCCO)c(C)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(N4CCCC4=O)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cnn(C4CCN(C(C)=O)CC4)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(CCO)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc4c(c3)c(Cl)nn4C)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cnn(C4CCN(C(C)=O)CC4)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(NC(=O)c3cccc(OC(F)(F)F)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(C(=O)N(C)C)cc3Cl)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(-c4cnc(C)n4C)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(-c4cnn(C)c4)cc3OC)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C(=O)N(C)C)cc3Cl)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(N4CCOCC4)cc3C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(N4CCNCC4)cc3OC)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(S(C)(=O)=O)cc3OC)nc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)n3ncc(CC)c3n2)cc1; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(=O)NC)cc3OC)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(N4CCNCC4)cc3OC)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc(C(C)(C)O)n(C)n3)nc12; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(N)n3ncc(CC)c3n2)cc1; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(S(C)(=O)=O)ccc3Cl)nc12; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc(N)n3ncc(CC)c3n2)cc1; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C(=O)N(C)C)cn3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc([C@H](C)CS(C)(=O)=O)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(C(=O)NC)ccc3C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(C(=O)NCCO)ccc3C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccccc3C(=O)NC)nc12; [None]; [None]; [0]
 CCOc1ccccc1-c1cc(N)n2ncc(CC)c2n1; [None]; [None]; [0]
-CCc1cnn2c(N)cc(CCC(C)(C)OC)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccccc3-c3nnc(C)[nH]3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(S(C)(=O)=O)ccc3Cl)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(C(=O)NCCO)ccc3C)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(C(=O)NC)ccc3C)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccccc3S(=O)(=O)C(C)C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc([C@H](C)c3cc(F)ccc3OC)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(Cc3cc(F)cc(F)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccccc3P(C)(C)=O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccccc3C(=O)NC)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccccc3OC(F)(F)F)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccnc4ccccc34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(C(F)(F)F)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccccc3Br)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccccc3OC(F)(F)F)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccccc3C(=O)[O-])nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(CCC(C)(C)OC)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccccc3P(C)(C)=O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Cc3cc(F)cc(F)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccccc3C(N)=O)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cnn(Cc4ccccc4)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cnc(-c4ccccc4)[nH]3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc([C@@H](N)c3ccco3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cnn(CCO)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3csc(C(C)(C)C)n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccccc3-c3nnc(C)[nH]3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccccc3C(=O)[O-])nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc4ncn(C)c(=O)c4c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(Cl)ccc3Cl)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(NC(=O)c4ccccc4)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3csc(C(C)(C)C)n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C)cc3Br)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cnc(-c4ccccc4)[nH]3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ncc(OC)cn3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-n3ncc4cccc(F)c4c3=O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3c(Cl)cccc3Cl)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc(Br)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(OCC(=O)C(C)C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(C)cc3Br)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3c(C)nc4ccccn34)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cnc4ccccn34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(C)ccc3Cl)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3sc(NC)nc3C)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cnc4ccccn34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3sc(N)nc3C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3c(Cl)cccc3Cl)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc(Cn4cncn4)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3c(C)nc4ccccn34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc4ccccc4c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(NCc3cccnc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(C)ccc3Cl)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3sc(=O)n(C)c3C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccnc(N)n3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cnn4ncccc34)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc(OC)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc4ccccc4c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(Nc3cccnc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-n3cnc4ccccc43)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc(Cn4cncn4)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(NCCc3c[nH]cn3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(Cc3ncc(C(C)(C)C)o3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(NC(=O)c3cccs3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc(CC(=O)[O-])c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cncc4ccccc34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(NCCc3ccccc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3sc(=O)n(C)c3C)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccnc(N)n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-n3cnc4ccccc43)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cncc4ccccc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc(F)c3C(N)=O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(NCc3ccc(Cl)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc(CC(=O)[O-])c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(-c4cnn(C)c4)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3c[nH]nc3C(F)(F)F)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc4c(N)[nH]nc4c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc4c(c3)CS(=O)(=O)N4C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc4c(cnn4C)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Nc3ccncc3)nc12; [None]; [None]; [0]
 CCCn1cnc(-c2cc(N)n3ncc(CC)c3n2)n1; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(-c4cn[nH]c4)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(CO)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(=O)[O-])c(OC)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(Nc3ccncc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cn(C(C)C)nn3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3c[nH]c(SC)n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(NCc3ccccc3F)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3csc4ncncc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cncnc3N)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cnoc3C(C)C)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3c[nH]c(SC)n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc4ccccc4[nH]3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(CCc3c[nH]nn3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3csc4ncncc34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(CCC#N)c3)nc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc(N)n4ncc(CC)c4n3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc(N)n3ncc(CC)c3n2)cc1; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(F)cc3C(F)(F)F)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(CCNC(=O)CC(C)(C)O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Oc3ccccn3)nc12; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc(N)n3ncc(CC)c3n2)cc1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cc(N)n4ncc(CC)c4n3)cc2s1; [None]; [None]; [0]
 CCc1cnn2c(N)cc(NC(=O)c3c(Cl)cccc3Cl)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cnn4ccccc34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(N3CCC(S(C)(=O)=O)CC3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(OCC(C)(C)S(C)(=O)=O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(CCCC(N)=O)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(OC)c(Cl)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cnn4ccccc34)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)nc12; [None]; [None]; [0]
 CCCn1cc(-c2cc(N)n3ncc(CC)c3n2)cn1; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc[nH]c(=O)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc4c3C(=O)CC4)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(CCc3cc(OC)cc(OC)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(C(C)(C)N)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(CCNC(=O)CC(C)(C)O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(OCC(C)(C)S(C)(=O)=O)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(O[C@H](C)c3c(Cl)cncc3Cl)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc([S@](C)=O)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc4c3C(=O)CC4)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(N(CC)CC)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc4c(=O)[nH]ccc4o3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc4c(=O)[nH]cc(Br)c4s3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(C(C)(C)N)cc3)nc12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc(N)n2ncc(CC)c2n1; [None]; [None]; [0]
+CCc1cnn2c(N)cc(CCc3cc(OC)cc(OC)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(Nc3cnccc3OC)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(Nc3cnccc3-c3ccccc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc([S@](C)=O)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cncc(OC(C)C)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(Nc3cnc4ccccc4c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc4c(=O)[nH]cc(Br)c4s3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3c[nH]c4cnccc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3c(F)cccc3OC)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(Nc3cnccc3-c3ccccc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc4c(=O)[nH]ccc4o3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(S(C)(=O)=O)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(F)c3C(=O)NC)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc([C@H](CO)Cc3ccccc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cnc4[nH]ccc4c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(C3(C)CCN(S(C)(=O)=O)CC3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-n3ccc(CO)n3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(S(C)(=O)=O)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(C)nn3-c3cccc(Cl)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(N[C@H](C)C(C)(C)O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(N[C@@H](C)C(C)(C)O)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(N[C@@H](C)C(=O)NCC(F)(F)F)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-n3ccc(CO)n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(C)nn3-c3cccc(Cl)c3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-n3cnc(CCO)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(N[C@@H](C)C(C)(C)O)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(N[C@H](C)C(C)(C)O)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc(F)c3C(N)=O)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-n3ncc4ccccc43)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-n3ncc4c(O)cccc43)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccnc3O)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ccc(-n4cncn4)cc3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3nc4ccc(O)cc4[nH]3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3[nH]c(SC)nc3C)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-n3ncc4ccccc43)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-n3ncc4c(O)cccc43)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3c(F)cccc3Cl)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(OC)cc3OC)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(=O)c4ccccc4)cc3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ccc(-n4cncn4)cc3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3nncn3C(C)C)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3nncn3C3CC3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccn(CC[NH3+])n3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3nncn3C3CC3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3nc4ccc(O)cc4[nH]3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3[nH]c(SC)nc3C)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(Cc3nnc4ccc(-c5ccccc5)nn34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(CCC(=O)NCc3ccccn3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(CS(=O)(=O)NCc3ccccn3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cn(Cc4ccccc4)nn3)nc12; [None]; [None]; [0]
 CCc1cc(-c2cc(N)n3ncc(CC)c3n2)nc(N)n1; [None]; [None]; [0]
+CCc1cnn2c(N)cc(C3CCN(C(=O)N[C@@H2]C)CC3)nc12; [None]; [None]; [0]
 CCCCc1cc(-c2cc(N)n3ncc(CC)c3n2)nc(N)n1; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cnc(N)s3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cn(Cc4ccccc4)nn3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3nnc(N)s3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(C(N)=O)cn3C)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc(C(C)(C)O)n3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc(C(=O)NC)s3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(Oc3ccc(C[NH3+])cc3F)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3c(F)cccc3OC)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3nc4ccccc4s3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc4ccsc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(C(N)=O)cn3C)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3nc4ccccc4s3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cncc(N)n3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc(C(=O)Nc4ccc(C(=O)NC)cc4)c3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc4ccsc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3c[nH]c4cccnc34)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3nc(N)c4ccccc4n3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cccc4nnsc34)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cnc(NC(C)=O)[nH]3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3nc(N)c4ccccc4n3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3c[nH]c4cccnc34)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3ncc4cc[nH]c4n3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cc(C#N)ccc3OC)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(Cc3ccccc3NS(C)(=O)=O)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cn(CCO)cn3)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(Oc3ccc(OC)c(F)c3F)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc([C@H]3CC[C@@](C)(O)CC3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cc(C#N)ccc3OC)nc12; [None]; [None]; [0]
 CCc1cnn2c(N)cc(-c3cc(OC)ccc3OC)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cccc(C(C)(C)O)n3)nc12; [None]; [None]; [0]
-CCc1cnn2c(N)cc(-c3cnnc(N(C)C)c3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3ncc4cc[nH]c4n3)nc12; [None]; [None]; [0]
+CNC(=O)c1ccccc1Nc1ccncn1; ['CNC(=O)c1ccccc1N', 'Brc1ccncn1', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1F']; ['Clc1ccncn1', 'CNC(=O)c1ccccc1N', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9988288879394531, 0.9943996071815491, 0.9867684841156006, 0.784049391746521]
+CCOc1ccccc1Nc1ccncn1; ['CCOc1ccccc1N', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1N', 'Brc1ccncn1', 'CCOc1ccccc1Br', 'CCOc1ccccc1N', 'CCOc1ccccc1F']; ['Ic1ccncn1', 'Nc1ccncn1', 'Clc1ccncn1', 'CCOc1ccccc1N', 'Nc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1']; [0.9951993227005005, 0.9950167536735535, 0.992742657661438, 0.9833123087882996, 0.9370262622833252, 0.857354998588562, 0.8457521200180054]
+CCc1cnn2c(N)cc([C@H]3CC[C@@](C)(O)CC3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cccc(S(=O)(=O)N(C)C)c3)nc12; [None]; [None]; [0]
+COC(C)(C)CCNc1ccncn1; ['COC(C)(C)CCN', 'COC(C)(C)CCN', 'Brc1ccncn1', 'COC(C)(C)CCN', 'COC(C)(C)CCN', 'COC(C)(C)CCN']; ['Clc1ccncn1', 'Fc1ccncn1', 'COC(C)(C)CCN', 'Ic1ccncn1', 'c1cncnc1', 'Nc1ccncn1']; [0.9982047080993652, 0.998101532459259, 0.9973239898681641, 0.9872840642929077, 0.8967632055282593, 0.8396854996681213]
 CCc1cnn2c(N)cc(N3CCC(c4nc5ccccc5[nH]4)CC3)nc12; [None]; [None]; [0]
+CCc1cnn2c(N)cc(-c3cnnc(N(C)C)c3)nc12; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1Nc1ccncn1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1Br', 'Brc1ccncn1', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N']; ['Nc1ccncn1', 'Clc1ccncn1', 'Nc1ccncn1', 'CC(C)S(=O)(=O)c1ccccc1N', 'Ic1ccncn1', 'Fc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9997426271438599, 0.9995975494384766, 0.9995368123054504, 0.9992148876190186, 0.9990460872650146, 0.9983792901039124, 0.9478709697723389, 0.9123588800430298]
+CP(C)(=O)c1ccccc1Nc1ccncn1; ['CP(C)(=O)c1ccccc1N', 'CP(C)(=O)c1ccccc1N', 'Brc1ccncn1']; ['Clc1ccncn1', 'Fc1ccncn1', 'CP(C)(=O)c1ccccc1N']; [0.9992151260375977, 0.9823647737503052, 0.982277512550354]
+c1ccc2c(Nc3ccncn3)ccnc2c1; ['Clc1ccncn1', 'Brc1ccnc2ccccc12', 'Brc1ccncn1', 'Fc1ccncn1', 'Fc1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Ic1ccnc2ccccc12', 'Nc1ccnc2ccccc12', 'Nc1ccnc2ccccc12']; ['Nc1ccnc2ccccc12', 'Nc1ccncn1', 'Nc1ccnc2ccccc12', 'Nc1ccnc2ccccc12', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9997069835662842, 0.9996175765991211, 0.998481810092926, 0.9982080459594727, 0.9972928762435913, 0.9969925284385681, 0.9912418127059937, 0.9846402406692505, 0.9554113149642944]
+Fc1cc(F)cc(CNc2ccncn2)c1; ['Fc1cc(F)cc(CCl)c1', 'Clc1ccncn1', 'Ic1ccncn1', 'Fc1cc(F)cc(CBr)c1', 'NCc1cc(F)cc(F)c1', 'Nc1ccncn1', 'Brc1ccncn1', 'Nc1ccncn1', 'NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'Fc1ccncn1']; ['Nc1ccncn1', 'NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'Nc1ccncn1', 'Oc1ccncn1', 'OCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'O=Cc1cc(F)cc(F)c1', 'O=c1ccnc[nH]1', 'c1cncnc1', 'NCc1cc(F)cc(F)c1']; [0.9999972581863403, 0.999984860420227, 0.9999827146530151, 0.9999746084213257, 0.9999665021896362, 0.9999617338180542, 0.9999600052833557, 0.999945878982544, 0.9999372959136963, 0.999830961227417, 0.9996656179428101]
 CCc1cnn2c(N)cc(N3CC=C(c4c[nH]c5ccccc45)CC3)nc12; [None]; [None]; [0]
+CCn1cc(Nc2ccncn2)cn1; ['CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'Brc1ccncn1', 'CCn1cc(Br)cn1', 'CCn1cc(I)cn1']; ['Clc1ccncn1', 'Fc1ccncn1', 'CCn1cc(N)cn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999727010726929, 0.9997683763504028, 0.9997484087944031, 0.9967060685157776, 0.9899313449859619]
+FC(F)(F)c1cccc(Nc2ccncn2)c1; ['Nc1ccncn1', 'Clc1ccncn1', 'Brc1ccncn1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'Ic1ccncn1', 'FC(F)(F)c1cccc(Cl)c1', 'Fc1cccc(C(F)(F)F)c1', 'Fc1ccncn1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', None]; ['OB(O)c1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cccc(C(F)(F)F)c1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', None]; [0.9998817443847656, 0.999847412109375, 0.9995381832122803, 0.9994471669197083, 0.9994430541992188, 0.9992164373397827, 0.9991223812103271, 0.9976939558982849, 0.9976431131362915, 0.9969373941421509, 0.9896552562713623, 0]
 CCc1cnn2c(N)cc(-c3cccc(NC(=O)C4CCNCC4)c3)nc12; [None]; [None]; [0]
-Cc1c(Nc2ccncn2)sc(=O)n1C; [None]; [None]; [0]
+NC(=O)c1ccccc1Nc1ccncn1; ['Clc1ccncn1', 'NC(=O)c1ccccc1I', 'Brc1ccncn1', 'NC(=O)c1ccccc1Br', None]; ['NC(=O)c1ccccc1N', 'Nc1ccncn1', 'NC(=O)c1ccccc1N', 'Nc1ccncn1', None]; [0.9906644821166992, 0.9690015912055969, 0.9186846017837524, 0.887239933013916, 0]
+c1ccc(Cn2cc(Nc3ccncn3)cn2)cc1; ['Clc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Brc1cnn(Cc2ccccc2)c1', 'Ic1cnn(Cc2ccccc2)c1']; ['Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999935030937195, 0.9999734163284302, 0.9998723268508911, 0.9998183250427246, 0.9993021488189697]
+FC(F)(F)Oc1ccccc1Nc1ccncn1; ['Ic1ccncn1', 'Clc1ccncn1', 'Nc1ccncn1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'Brc1ccncn1', 'Fc1ccccc1OC(F)(F)F', 'Fc1ccncn1', 'Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Cl']; ['Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccccc1OC(F)(F)F', 'Nc1ccncn1', 'Nc1ccccc1OC(F)(F)F', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9997503757476807, 0.9997122287750244, 0.9992866516113281, 0.9992081522941589, 0.9991273880004883, 0.9987701177597046, 0.9923079609870911, 0.9891325235366821, 0.9703343510627747, 0.9590994119644165, 0.9351187348365784]
+Cn1cnc2ccc(Nc3ccncn3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1ccncn1']; [0.999475359916687]
+O=C([O-])c1ccccc1Nc1ccncn1; [None]; [None]; [0]
+OCCn1cc(Nc2ccncn2)cn1; ['Clc1ccncn1']; ['Nc1cnn(CCO)c1']; [0.9999986886978149]
+O=C(Nc1cccc(Nc2ccncn2)c1)c1ccccc1; ['Clc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1']; ['Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Oc1ccncn1', 'Nc1ccncn1']; [0.9998914003372192, 0.999858021736145, 0.9991564750671387, 0.9980309009552002, 0.9912713766098022]
+Cc1nnc(-c2ccccc2Nc2ccncn2)[nH]1; [None]; [None]; [0]
+Cc1nc2ccccn2c1Nc1ccncn1; ['Cc1nc2ccccn2c1N']; ['Clc1ccncn1']; [0.9998711943626404]
+Clc1ccc(Cl)c(Nc2ccncn2)c1; ['Clc1ccc(Cl)c(Br)c1', 'Clc1ccncn1', 'Fc1ccncn1', 'Clc1ccc(Cl)c(I)c1', 'Brc1ccncn1', 'Nc1cc(Cl)ccc1Cl', 'Fc1cc(Cl)ccc1Cl', 'Nc1ccncn1', 'Nc1cc(Cl)ccc1Cl']; ['Nc1ccncn1', 'Nc1cc(Cl)ccc1Cl', 'Nc1cc(Cl)ccc1Cl', 'Nc1ccncn1', 'Nc1cc(Cl)ccc1Cl', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'OB(O)c1cc(Cl)ccc1Cl', 'Nc1ccncn1']; [0.9966897964477539, 0.9941699504852295, 0.993224024772644, 0.9927502274513245, 0.9914946556091309, 0.9910441040992737, 0.983069658279419, 0.9827035665512085, 0.9385508298873901]
+Cc1ccc(Nc2ccncn2)c(Br)c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(F)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Brc1ccncn1']; ['Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Cc1ccc(N)c(Br)c1']; [0.9996820688247681, 0.9995431900024414, 0.9987300634384155, 0.997393012046814, 0.9959233999252319, 0.9921106100082397, 0.9896426796913147, 0.9334228038787842, 0.9322605729103088]
+COc1cnc(Nc2ccncn2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(N)nc1', 'COc1cnc(Cl)nc1', 'Brc1ccncn1', 'COc1cnc(N)nc1']; ['Nc1ccncn1', 'Clc1ccncn1', 'Nc1ccncn1', 'COc1cnc(N)nc1', 'O=c1ccnc[nH]1']; [0.9965187311172485, 0.9959754347801208, 0.9959632158279419, 0.9942187666893005, 0.9909160137176514]
+c1ccn2c(Nc3ccncn3)cnc2c1; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Clc1ccncn1', 'Clc1cnc2ccccn12', 'Brc1ccncn1']; ['Nc1ccncn1', 'Nc1ccncn1', 'Nc1cnc2ccccn12', 'Nc1ccncn1', 'Nc1cnc2ccccn12']; [0.9985984563827515, 0.9976269006729126, 0.9901293516159058, 0.9808570742607117, 0.897896409034729]
+CC(C)(C)c1nc(Nc2ccncn2)cs1; [None]; [None]; [0]
+c1cnn2c(Nc3ccncn3)cnc2c1; ['Clc1ccncn1']; ['Nc1cnc2cccnn12']; [0.9999914765357971]
+CC(C)C(=O)CONc1ccncn1; [None]; [None]; [0]
+c1ccc(-c2ncc(Nc3ccncn3)[nH]2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(Nc2ccncn2)s1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1Nc1ccncn1; [None]; [None]; [0]
-c1cnn2ncc(Nc3ccncn3)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(CNc2ccncn2)o1; [None]; [None]; [0]
+Clc1cccc(Cl)c1Nc1ccncn1; ['Ic1ccncn1', 'Clc1cccc(Cl)c1Br', 'Nc1c(Cl)cccc1Cl', 'Nc1ccncn1', 'Brc1ccncn1', 'Clc1ccncn1', 'Clc1cccc(Cl)c1I', 'Fc1ccncn1', 'Fc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl', 'Nc1c(Cl)cccc1Cl']; ['Nc1c(Cl)cccc1Cl', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'OB(O)c1c(Cl)cccc1Cl', 'Nc1c(Cl)cccc1Cl', 'Nc1c(Cl)cccc1Cl', 'Nc1ccncn1', 'Nc1c(Cl)cccc1Cl', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9998852014541626, 0.9997475147247314, 0.9997409582138062, 0.9996800422668457, 0.999639630317688, 0.999571681022644, 0.9994497895240784, 0.9991359710693359, 0.9989079236984253, 0.9968762397766113, 0.991337776184082]
+Brc1cccc(Nc2ccncn2)c1; ['Nc1ccncn1', 'Clc1ccncn1', 'Ic1ccncn1', 'Brc1cccc(I)c1', 'Fc1cccc(Br)c1', 'Clc1cccc(Br)c1', 'Fc1ccncn1', 'Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Nc1ccncn1', 'Brc1ccncn1']; ['OB(O)c1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cccc(Br)c1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Oc1cccc(Br)c1', 'Nc1cccc(Br)c1']; [0.9999829530715942, 0.9999679923057556, 0.9999147653579712, 0.9999071955680847, 0.9997413158416748, 0.9997349977493286, 0.9997348785400391, 0.9992823600769043, 0.9989100694656372, 0.9976475238800049, 0.9968879222869873, 0.994105339050293]
+Nc1nccc(Nc2ccncn2)n1; ['Clc1ccncn1', 'Nc1ccncn1', 'Brc1ccncn1', 'Nc1ccncn1']; ['Nc1ccnc(N)n1', 'Nc1nccc(Br)n1', 'Nc1ccnc(N)n1', 'Nc1nccc(Cl)n1']; [0.9825084805488586, 0.9741654992103577, 0.899773120880127, 0.8817353248596191]
+Cc1ccc(Cl)c(Nc2ccncn2)c1; ['Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(N)c1', 'Brc1ccncn1']; ['Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Clc1ccncn1', 'Fc1ccncn1', 'O=c1ccnc[nH]1', 'Cc1ccc(Cl)c(N)c1']; [0.9911272525787354, 0.9785618782043457, 0.9709991216659546, 0.9552668333053589, 0.941450297832489, 0.9199716448783875, 0.9061422348022461]
+c1cc(Cn2cncn2)cc(Nc2ccncn2)c1; ['Clc1ccncn1', 'Fc1ccncn1', 'Brc1ccncn1', 'Nc1cccc(Cn2cncn2)c1']; ['Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1', 'Nc1ccncn1']; [0.9999964237213135, 0.9999181032180786, 0.9998477697372437, 0.9992195963859558]
+c1cnn2ncc(Nc3ccncn3)c2c1; ['Brc1cnn2ncccc12']; ['Nc1ccncn1']; [0.998961865901947]
+c1ccc2c(c1)ncn2Nc1ccncn1; ['Clc1ccncn1']; ['Nn1cnc2ccccc21']; [0.9661760926246643]
+Cc1nc(N)sc1Nc1ccncn1; [None]; [None]; [0]
+O=C(NNc1ccncn1)c1cccs1; ['NNc1ccncn1', 'Clc1ccncn1', 'NNc1ccncn1', 'NNc1ccncn1']; ['O=C(Cl)c1cccs1', 'NNC(=O)c1cccs1', 'O=C(O)c1cccs1', '[N-]=[N+]=NC(=O)c1cccs1']; [0.9870997071266174, 0.9793512225151062, 0.9608954191207886, 0.8327634334564209]
+CNc1nc(C)c(Nc2ccncn2)s1; [None]; [None]; [0]
+c1cncc(NNc2ccncn2)c1; ['Clc1ccncn1', 'Brc1cccnc1']; ['NNc1cccnc1', 'NNc1ccncn1']; [0.9686205387115479, 0.7535244226455688]
+c1ccc2cc(Nc3ccncn3)ccc2c1; ['Nc1ccncn1', 'Clc1ccncn1', 'Brc1ccncn1', 'Ic1ccc2ccccc2c1', 'Fc1ccncn1', 'Brc1ccc2ccccc2c1', 'Fc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccncn1', 'Nc1ccc2ccccc2c1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9997358918190002, 0.9996724128723145, 0.9994426965713501, 0.9981381893157959, 0.9973680973052979, 0.9962174892425537, 0.9899135828018188, 0.9893474578857422, 0.9740896224975586, 0.9432161450386047]
+NC(=O)c1c(F)cccc1Nc1ccncn1; ['Clc1ccncn1', 'Brc1ccncn1']; ['NC(=O)c1c(N)cccc1F', 'NC(=O)c1c(N)cccc1F']; [0.998687744140625, 0.9759951829910278]
+c1cncc(CNNc2ccncn2)c1; [None]; [None]; [0]
+Cc1c(Nc2ccncn2)sc(=O)n1C; [None]; [None]; [0]
+c1ccc(CCNNc2ccncn2)cc1; ['Clc1ccncn1', 'BrCCc1ccccc1']; ['NNCCc1ccccc1', 'NNc1ccncn1']; [0.9984466433525085, 0.9706434607505798]
+c1ccc2c(Nc3ccncn3)cncc2c1; ['Clc1ccncn1', 'Brc1ccncn1', 'Brc1cncc2ccccc12', 'Fc1ccncn1', 'Clc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Fc1cncc2ccccc12', 'Nc1ccncn1', 'Nc1ccncn1', 'Ic1cncc2ccccc12']; ['Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1ccncn1', 'Nc1cncc2ccccc12', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Nc1ccncn1']; [0.999794602394104, 0.9980769157409668, 0.9967809915542603, 0.9948571920394897, 0.986086368560791, 0.9837178587913513, 0.9797632694244385, 0.9741496443748474, 0.9718594551086426, 0.9391169548034668]
+FC(F)(F)c1n[nH]cc1Nc1ccncn1; ['FC(F)(F)c1n[nH]cc1Br', 'Clc1ccncn1', 'Brc1ccncn1']; ['Nc1ccncn1', 'Nc1c[nH]nc1C(F)(F)F', 'Nc1c[nH]nc1C(F)(F)F']; [0.9997485876083374, 0.9996600151062012, 0.9980037212371826]
+Cn1cc(-c2ccc(Nc3ccncn3)cc2)cn1; ['Clc1ccncn1', 'Brc1ccncn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1']; ['Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1']; [0.9999998807907104, 0.999999463558197, 0.9999986886978149, 0.9999938607215881, 0.99998939037323]
+CCCn1cnc(Nc2ccncn2)n1; ['CCCn1cnc(N)n1', 'Brc1ccncn1']; ['Clc1ccncn1', 'CCCn1cnc(N)n1']; [0.9986025094985962, 0.9926173686981201]
+Nc1[nH]nc2cc(Nc3ccncn3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['Nc1ccncn1']; [0.9996949434280396]
+Cn1ncc2cc(Nc3ccncn3)ccc21; ['Brc1ccncn1', 'Cn1ncc2cc(B(O)O)ccc21', 'Clc1ccncn1', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(F)ccc21', 'Cn1ncc2cc(O)ccc21', 'Cn1ncc2cc(Cl)ccc21']; ['Cn1ncc2cc(N)ccc21', 'Nc1ccncn1', 'Cn1ncc2cc(N)ccc21', 'Ic1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999986886978149, 0.9999975562095642, 0.9999940395355225, 0.9999874830245972, 0.9999634027481079, 0.999951958656311, 0.9998807907104492, 0.9995762705802917, 0.998683512210846, 0.9979538917541504, 0.9978430271148682, 0.9923372268676758]
+c1cc(Nc2ccc(-c3cn[nH]c3)cc2)ncn1; ['Clc1ccncn1', 'Brc1ccncn1', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Fc1ccncn1', 'Nc1ccc(-c2cn[nH]c2)cc1']; ['Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccncn1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'O=c1ccnc[nH]1']; [0.9999642968177795, 0.9999120235443115, 0.9999053478240967, 0.999674916267395, 0.9980075359344482]
+O=C([O-])Cc1cccc(Nc2ccncn2)c1; [None]; [None]; [0]
+Oc1cccc(Nc2ccncn2)c1; ['Clc1ccncn1', 'Nc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cccc(O)c1']; ['Nc1cccc(O)c1', 'Oc1cccc(Br)c1', 'Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Oc1cccc(Cl)c1', 'Oc1cccc(F)c1', 'O=c1ccnc[nH]1']; [0.9988511800765991, 0.9976850152015686, 0.9969277381896973, 0.9935353994369507, 0.9897967576980591, 0.9848961234092712, 0.976664125919342]
+c1cc(NNCCc2c[nH]cn2)ncn1; [None]; [None]; [0]
+c1cc(NNc2ccncn2)ccn1; ['Clc1ccncn1', 'Clc1ccncc1']; ['NNc1ccncc1', 'NNc1ccncn1']; [0.9762694835662842, 0.956741452217102]
+Clc1ccc(CNNc2ccncn2)cc1; [None]; [None]; [0]
 CN1c2ccc(Nc3ccncn3)cc2CS1(=O)=O; [None]; [None]; [0]
+CC(C)n1cc(Nc2ccncn2)nn1; ['CC(C)n1cc(N)nn1', 'CC(C)n1cc(N)nn1', 'Brc1ccncn1']; ['Clc1ccncn1', 'Fc1ccncn1', 'CC(C)n1cc(N)nn1']; [0.9978053569793701, 0.9927555322647095, 0.9900540113449097]
+Fc1ccccc1CNNc1ccncn1; ['Clc1ccncn1']; ['NNCc1ccccc1F']; [0.9903537034988403]
+OCc1cccc(Nc2ccncn2)c1; ['Clc1ccncn1', 'Nc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1cccc(CO)c1', 'Nc1ccncn1']; ['Nc1cccc(CO)c1', 'OCc1cccc(B(O)O)c1', 'Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'OCc1cccc(I)c1', 'O=c1ccnc[nH]1', 'OCc1cccc(Br)c1']; [0.9996744394302368, 0.9954870939254761, 0.9949918985366821, 0.9942295551300049, 0.9891889691352844, 0.9801464080810547, 0.9710274934768677]
 COc1cc(Nc2ccncn2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(Nc2ccncn2)nn1; [None]; [None]; [0]
-c1cc(NCCc2c[nH]nn2)ncn1; [None]; [None]; [0]
+CSc1nc(Nc2ccncn2)c[nH]1; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3ccncn3)cc2c1; ['Nc1cc2ccccc2[nH]1', 'Clc1ccncn1', 'Fc1cc2ccccc2[nH]1', 'Fc1ccncn1', 'Brc1ccncn1']; ['O=c1ccnc[nH]1', 'Nc1cc2ccccc2[nH]1', 'Nc1ccncn1', 'Nc1cc2ccccc2[nH]1', 'Nc1cc2ccccc2[nH]1']; [0.9951115846633911, 0.9791330099105835, 0.9783139228820801, 0.9349802732467651, 0.8236438035964966]
+c1cc(NCCc2c[nH]nn2)ncn1; ['Clc1ccncn1', 'NCCc1c[nH]nn1', 'Brc1ccncn1', 'Ic1ccncn1', 'Fc1ccncn1', 'NCCc1c[nH]nn1']; ['NCCc1c[nH]nn1', 'O=c1ccnc[nH]1', 'NCCc1c[nH]nn1', 'NCCc1c[nH]nn1', 'NCCc1c[nH]nn1', 'Nc1ccncn1']; [0.9997812509536743, 0.9994463324546814, 0.9985780715942383, 0.9972749948501587, 0.9934489727020264, 0.989911675453186]
+c1cc(Nc2csc3ncncc23)ncn1; ['Brc1csc2ncncc12']; ['Nc1ccncn1']; [0.9999874234199524]
+Nc1nc(Nc2ccncn2)cs1; ['Clc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1']; ['Nc1csc(N)n1', 'Nc1nc(Cl)cs1', 'Nc1csc(N)n1']; [0.9991418123245239, 0.9946032762527466, 0.8066179156303406]
+Nc1ncncc1Nc1ccncn1; ['Clc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1']; ['Nc1cncnc1N', 'Nc1cncnc1N', 'Nc1cncnc1N', 'Nc1ncncc1Br']; [0.9982647895812988, 0.9621145725250244, 0.9074623584747314, 0.7873384356498718]
+NC(=O)CCCNc1ccncn1; ['Clc1ccncn1', 'Fc1ccncn1', 'Brc1ccncn1']; ['NCCCC(N)=O', 'NCCCC(N)=O', 'NCCCC(N)=O']; [0.9936954975128174, 0.9903846979141235, 0.9835295081138611]
+Fc1ccc(Nc2ccncn2)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Clc1ccncn1', 'Brc1ccncn1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Nc1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(F)c(C(F)(F)F)c1', 'Nc1ccc(F)cc1C(F)(F)F', 'Fc1ccncn1']; ['Nc1ccncn1', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccc(F)cc1C(F)(F)F']; [0.9985522031784058, 0.9985189437866211, 0.9977459907531738, 0.9968047142028809, 0.9946141242980957, 0.9864622950553894, 0.969022810459137, 0.9564090967178345, 0.9196100234985352]
+CCC(=O)Nc1ccc(Nc2ccncn2)cc1; ['CCC(=O)Nc1ccc(N)cc1', 'CCC(=O)Nc1ccc(N)cc1', 'Brc1ccncn1', 'CCC(=O)Nc1ccc(N)cc1', 'CCC(=O)Nc1ccc(N)cc1']; ['Oc1ccncn1', 'Clc1ccncn1', 'CCC(=O)Nc1ccc(N)cc1', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9958733320236206, 0.9933551549911499, 0.9840219020843506, 0.9799657464027405, 0.9713738560676575]
+N#CCCc1cccc(Nc2ccncn2)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(F)c1']; ['Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999824166297913, 0.999756932258606, 0.9939838647842407]
+O=C(NNc1ccncn1)c1c(Cl)cccc1Cl; ['NNc1ccncn1', 'NNc1ccncn1']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.9833267331123352, 0.9183663725852966]
+CCNc1nc2ccc(Nc3ccncn3)cc2s1; [None]; [None]; [0]
+CC(C)c1oncc1Nc1ccncn1; [None]; [None]; [0]
+Cn1cc(Nc2ccncn2)c2ccccc21; [None]; [None]; [0]
+c1ccc(ONc2ccncn2)nc1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCNc1ccncn1; [None]; [None]; [0]
-O=C(NNc1ccncn1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cccc(Nc2ccncn2)c1; ['CC(=O)Nc1cccc(N)c1', 'Brc1ccncn1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(F)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(N)c1']; ['Clc1ccncn1', 'CC(=O)Nc1cccc(N)c1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999080896377563, 0.9997625350952148, 0.9996970295906067, 0.9996861219406128, 0.999545693397522, 0.9993098378181458, 0.9989599585533142, 0.9926760196685791]
+c1ccn2ncc(Nc3ccncn3)c2c1; ['Clc1ccncn1', 'Brc1cnn2ccccc12', 'Clc1cnn2ccccc12', 'Brc1ccncn1', 'Ic1cnn2ccccc12', 'Fc1ccncn1', 'Nc1cnn2ccccc12']; ['Nc1cnn2ccccc12', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cnn2ccccc12', 'Nc1ccncn1', 'Nc1cnn2ccccc12', 'O=c1ccnc[nH]1']; [0.9999536871910095, 0.9992754459381104, 0.9988738298416138, 0.9986262321472168, 0.9982532262802124, 0.9960571527481079, 0.9878581762313843]
+COc1ccc(Nc2ccncn2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl', 'Brc1ccncn1', 'COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(F)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(Cl)cc1Cl']; ['Nc1ccncn1', 'COc1ccc(N)cc1Cl', 'Fc1ccncn1', 'Ic1ccncn1', 'Nc1ccncn1', 'Clc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Oc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999160766601562, 0.9999096989631653, 0.9997228384017944, 0.9996812343597412, 0.9996211528778076, 0.9994618892669678, 0.9992561340332031, 0.9991906881332397, 0.9991638660430908, 0.9985739588737488, 0.994611918926239, 0.8436598181724548]
+CCCn1cc(Nc2ccncn2)cn1; ['Brc1ccncn1', 'CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(I)cn1']; ['CCCn1cc(N)cn1', 'Clc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999983310699463, 0.9999971389770508, 0.9999822378158569, 0.9998184442520142, 0.9996592998504639]
+CC(C)(N)c1ccc(Nc2ccncn2)cc1; ['CC(C)(N)c1ccc(N)cc1']; ['Clc1ccncn1']; [0.9920196533203125]
+CS(=O)(=O)C1CCN(Nc2ccncn2)CC1; [None]; [None]; [0]
+O=C1CCc2cccc(Nc3ccncn3)c21; ['Clc1ccncn1', 'Nc1ccncn1', 'Nc1cccc2c1C(=O)CC2', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1cccc2c1C(=O)CC2', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cccc2c1C(=O)CC2']; ['Nc1cccc2c1C(=O)CC2', 'O=C1CCc2cccc(Br)c21', 'O=c1ccnc[nH]1', 'Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'Nc1ccncn1', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(F)c21', 'Oc1ccncn1']; [0.9992230534553528, 0.9991050958633423, 0.9909384846687317, 0.9898894429206848, 0.9894793033599854, 0.9719139337539673, 0.9663976430892944, 0.9426931738853455, 0.9294381141662598]
+O=c1cc(Nc2ccncn2)cc[nH]1; ['Clc1ccncn1', 'Ic1ccncn1', 'Nc1ccncn1', 'Brc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; ['Nc1cc[nH]c(=O)c1', 'Nc1cc[nH]c(=O)c1', 'O=c1cc(Br)cc[nH]1', 'Nc1cc[nH]c(=O)c1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(F)cc[nH]1', 'O=c1cc(Cl)cc[nH]1']; [0.999917209148407, 0.9997340440750122, 0.9994558095932007, 0.9992357492446899, 0.998864471912384, 0.9947748184204102, 0.9758515357971191]
 CC(C)(CONc1ccncn1)S(C)(=O)=O; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1Nc1ccncn1; ['CCNS(=O)(=O)c1ccccc1N', 'Brc1ccncn1', 'CCNS(=O)(=O)c1ccccc1N', 'CCNS(=O)(=O)c1ccccc1Br']; ['Clc1ccncn1', 'CCNS(=O)(=O)c1ccccc1N', 'Fc1ccncn1', 'Nc1ccncn1']; [0.9899742603302002, 0.9624980092048645, 0.9610223770141602, 0.9354910850524902]
+COc1cc(CCNc2ccncn2)cc(OC)c1; ['COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'Brc1ccncn1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCBr)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCO)cc(OC)c1']; ['Clc1ccncn1', 'O=c1ccnc[nH]1', 'COc1cc(CCN)cc(OC)c1', 'Ic1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9993099570274353, 0.9933182001113892, 0.9838210940361023, 0.9814141988754272, 0.9717981219291687, 0.9351837635040283, 0.7769280076026917, 0.7629824876785278]
+C[S@](=O)c1ccc(Nc2ccncn2)cc1; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(N)cc1', 'Brc1ccncn1', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(N)cc1', 'CS(=O)c1ccc(N)cc1', 'CS(=O)c1ccc(F)cc1', 'CS(=O)c1ccc(O)cc1']; ['Nc1ccncn1', 'Clc1ccncn1', 'CS(=O)c1ccc(N)cc1', 'Nc1ccncn1', 'Fc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9987863302230835, 0.9968092441558838, 0.996353030204773, 0.9941083192825317, 0.9763641357421875, 0.8971821069717407, 0.854403018951416, 0.7697913646697998]
+CCN(CC)Nc1ccncn1; [None]; [None]; [0]
+COc1ccncc1NNc1ccncn1; [None]; [None]; [0]
+c1ccc(-c2ccncc2NNc2ccncn2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(Nc2ccncn2)c1; ['CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.9999963045120239, 0.99989253282547]
+CC(C)(C)c1ccc(Nc2ccncn2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(N)cc1', 'Brc1ccncn1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(F)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Cl)cc1']; ['Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Ic1ccncn1', 'CC(C)(C)c1ccc(N)cc1', 'Fc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9998680949211121, 0.9998233318328857, 0.9996100664138794, 0.9994101524353027, 0.9994040131568909, 0.998427152633667, 0.9979044198989868, 0.996680736541748, 0.9924836158752441, 0.9857211112976074, 0.9849123358726501]
+COc1cccc(F)c1Nc1ccncn1; ['COc1cccc(F)c1N', 'COc1cccc(F)c1Br', 'Brc1ccncn1', 'COc1cccc(F)c1N', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1I', 'COc1cccc(F)c1N']; ['Clc1ccncn1', 'Nc1ccncn1', 'COc1cccc(F)c1N', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1']; [0.999772310256958, 0.9995408058166504, 0.9992146492004395, 0.9988335967063904, 0.9877314567565918, 0.977615475654602, 0.9744389057159424]
 [NH3+]Cc1ccc(Nc2ccncn2)cc1C(F)(F)F; [None]; [None]; [0]
 C[C@@H](ONc1ccncn1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+c1ccc2ncc(NNc3ccncn3)cc2c1; ['Clc1ccncn1', 'Fc1ccncn1']; ['NNc1cnc2ccccc2c1', 'NNc1cnc2ccccc2c1']; [0.9976818561553955, 0.8962225914001465]
 O=c1[nH]cc(Br)c2sc(Nc3ccncn3)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2NNc2ccncn2)cc1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(Nc3ccncn3)cc12; [None]; [None]; [0]
+c1cc(Nc2c[nH]c3cnccc23)ncn1; ['Ic1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.9943926334381104, 0.9936928749084473]
+CNS(=O)(=O)c1ccc(Nc2ccncn2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccncn1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(F)cc1', 'CNS(=O)(=O)c1ccc(N)cc1']; ['Clc1ccncn1', 'Ic1ccncn1', 'Nc1ccncn1', 'CNS(=O)(=O)c1ccc(N)cc1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9950375556945801, 0.9902461767196655, 0.9838658571243286, 0.950102686882019, 0.9283832311630249, 0.9131314754486084, 0.8832384347915649, 0.8778260946273804]
+CNC(=O)c1c(F)cccc1Nc1ccncn1; [None]; [None]; [0]
+c1cc(Nc2cnc3[nH]ccc3c2)ncn1; ['Clc1ccncn1', 'Ic1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Fc1ccncn1', 'Brc1ccncn1']; ['Nc1cnc2[nH]ccc2c1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1']; [0.9995752573013306, 0.9992601871490479, 0.9986330270767212, 0.9984230995178223, 0.9983869791030884]
+CC(C)(C)NS(=O)(=O)c1ccc(Nc2ccncn2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccncn1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(F)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1']; ['Clc1ccncn1', 'Nc1ccncn1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999182820320129, 0.9997698068618774, 0.9990042448043823, 0.9984797835350037, 0.9955748319625854, 0.9953312277793884, 0.9785837531089783, 0.9738996028900146]
+Cc1cc(Nc2ccncn2)n(-c2cccc(Cl)c2)n1; ['Cc1cc(N)n(-c2cccc(Cl)c2)n1', 'Brc1ccncn1']; ['Clc1ccncn1', 'Cc1cc(N)n(-c2cccc(Cl)c2)n1']; [0.91668701171875, 0.8314312100410461]
+c1cc(Nc2ccc(N3CCOCC3)cc2)ncn1; ['Clc1ccncn1', 'Fc1ccncn1', 'Brc1ccncn1', 'Nc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1']; ['Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.999982476234436, 0.999904453754425, 0.9999024271965027, 0.999823808670044, 0.9998102188110352, 0.999496340751648, 0.999437689781189, 0.9941324591636658]
+CC1(Nc2ccncn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Nc2ccncn2)cc1; ['CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'Brc1ccncn1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(F)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['Clc1ccncn1', 'Nc1ccncn1', 'Ic1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'CS(=O)(=O)c1ccc(N)cc1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9998214244842529, 0.9996602535247803, 0.9996193647384644, 0.9995303153991699, 0.999512791633606, 0.9990275502204895, 0.9983581304550171, 0.9974946975708008, 0.9967095851898193, 0.992942214012146, 0.9914405345916748]
+c1ccc2c(c1)cnn2Nc1ccncn1; ['Clc1ccncn1']; ['Nn1ncc2ccccc21']; [0.999427318572998]
+Fc1cccc(Cl)c1Nc1ccncn1; ['Nc1ccncn1', 'Fc1cccc(Cl)c1Br', 'Ic1ccncn1', 'Clc1ccncn1', 'Brc1ccncn1', 'Fc1cccc(Cl)c1I', 'Nc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1F', 'Fc1cccc(Cl)c1Cl', 'Nc1c(F)cccc1Cl', 'Fc1ccncn1']; ['OB(O)c1c(F)cccc1Cl', 'Nc1ccncn1', 'Nc1c(F)cccc1Cl', 'Nc1c(F)cccc1Cl', 'Nc1c(F)cccc1Cl', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1c(F)cccc1Cl']; [0.9998847246170044, 0.9998650550842285, 0.9998065233230591, 0.9997614622116089, 0.9993724226951599, 0.999225378036499, 0.998420000076294, 0.9968376159667969, 0.9940375089645386, 0.9875707626342773, 0.9707201719284058]
 CN(Nc1ccncn1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+c1cc(Nc2ccc(-n3cncn3)cc2)ncn1; ['Clc1ccncn1', 'Ic1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1']; ['Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Oc1ccc(-n2cncn2)cc1', 'Nc1ccncn1', 'O=c1ccnc[nH]1']; [0.9999598264694214, 0.9999533295631409, 0.9999078512191772, 0.9997650384902954, 0.9981101751327515, 0.9980998635292053, 0.9969305992126465]
 C[C@H](NNc1ccncn1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(Nc2ccncn2)n1; [None]; [None]; [0]
+C[C@@H](NNc1ccncn1)C(C)(C)O; [None]; [None]; [0]
+C[C@H](NNc1ccncn1)C(C)(C)O; [None]; [None]; [0]
+OCCc1cn(Nc2ccncn2)cn1; [None]; [None]; [0]
+Oc1cccc2c1cnn2Nc1ccncn1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(Nc2ccncn2)cc1; ['Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Clc1ccncn1', 'Brc1ccncn1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'O=c1ccnc[nH]1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'O=C(c1ccccc1)c1ccc(F)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1']; [0.9978313446044922, 0.9968913793563843, 0.9960434436798096, 0.9945995211601257, 0.994143009185791, 0.9882462024688721, 0.9415267705917358, 0.8895989656448364, 0.7576303482055664]
+COc1ccc(Nc2ccncn2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(F)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'Brc1ccncn1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(N)c(OC)c1']; ['Nc1ccncn1', 'Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'COc1ccc(N)c(OC)c1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.999896764755249, 0.9991773366928101, 0.9984089732170105, 0.9982918500900269, 0.9979264736175537, 0.9947516918182373, 0.9941896796226501, 0.9874764680862427, 0.9814621210098267, 0.9470571279525757]
+c1cc(Nc2nncn2C2CC2)ncn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2ccncn2)CC1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(CNc4ccncn4)n3n2)cc1; [None]; [None]; [0]
-[NH3+]CCn1ccc(Nc2ccncn2)n1; [None]; [None]; [0]
-O=S(=O)(CNc1ccncn1)NCc1ccccn1; [None]; [None]; [0]
+Oc1ccc2nc(Nc3ccncn3)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(Nc2ccncn2)[nH]1; [None]; [None]; [0]
+CCc1cc(Nc2ccncn2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1', 'CCc1cc(N)nc(N)n1', 'Brc1ccncn1']; ['Nc1ccncn1', 'Clc1ccncn1', 'CCc1cc(N)nc(N)n1']; [0.9887639880180359, 0.9879170656204224, 0.9538664817810059]
+O=C(CCNc1ccncn1)NCc1ccccn1; [None]; [None]; [0]
+CCCCc1cc(Nc2ccncn2)nc(N)n1; [None]; [None]; [0]
+CC(C)n1cnnc1Nc1ccncn1; [None]; [None]; [0]
+Nc1nnc(Nc2ccncn2)s1; [None]; [None]; [0]
+c1ccc(Cn2cc(Nc3ccncn3)nn2)cc1; [None]; [None]; [0]
+CC(C)(O)c1cccc(Nc2ccncn2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.9988266229629517, 0.9575929045677185]
 Cn1cc(C(N)=O)cc1Nc1ccncn1; [None]; [None]; [0]
+c1ccc2sc(Nc3ccncn3)nc2c1; ['Brc1nc2ccccc2s1', 'Clc1ccncn1', 'Clc1nc2ccccc2s1', 'Brc1ccncn1']; ['Nc1ccncn1', 'Nc1nc2ccccc2s1', 'Nc1ccncn1', 'Nc1nc2ccccc2s1']; [0.9998940229415894, 0.9998347759246826, 0.9996671676635742, 0.9996650815010071]
+O=S(=O)(CNc1ccncn1)NCc1ccccn1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(Nc2ccncn2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2ccncn2)s1; [None]; [None]; [0]
+[NH3+]CCn1ccc(Nc2ccncn2)n1; [None]; [None]; [0]
+CC1(C)Oc2ccc(Nc3ccncn3)nc2NC1=O; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'Brc1ccncn1']; ['Nc1ccncn1', 'Clc1ccncn1', 'CC1(C)Oc2ccc(N)nc2NC1=O']; [0.9983561038970947, 0.9873579740524292, 0.9818159341812134]
+c1cc(Nc2ccncn2)c2sccc2c1; ['Brc1cccc2ccsc12']; ['Nc1ccncn1']; [0.9979590177536011]
+Nc1cncc(Nc2ccncn2)n1; ['Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; ['Nc1cncc(N)n1', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1']; [0.9987009763717651, 0.9732269644737244, 0.8341437578201294]
 [NH3+]Cc1ccc(ONc2ccncn2)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(Nc3ccncn3)nc2NC1=O; [None]; [None]; [0]
+c1cc(Nc2ccncn2)c2snnc2c1; ['Clc1ccncn1', 'Brc1ccncn1', 'Brc1cccc2nnsc12']; ['Nc1cccc2nnsc12', 'Nc1cccc2nnsc12', 'Nc1ccncn1']; [0.999940037727356, 0.9999122619628906, 0.9995852112770081]
+c1ccc2nc(Nc3ccncn3)ncc2c1; ['Clc1ccncn1', 'Brc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1', 'Brc1ccncn1']; ['Nc1ncc2ccccc2n1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ncc2ccccc2n1']; [0.9999456405639648, 0.9998255968093872, 0.9998012781143188, 0.9997885227203369]
+Nc1nc(Nc2ccncn2)nc2ccccc12; ['Clc1ccncn1', 'Nc1nc(N)c2ccccc2n1', 'Brc1ccncn1', 'Nc1ccncn1']; ['Nc1nc(N)c2ccccc2n1', 'O=c1ccnc[nH]1', 'Nc1nc(N)c2ccccc2n1', 'Nc1nc(Cl)nc2ccccc12']; [0.9944056272506714, 0.9838581085205078, 0.9067447781562805, 0.859373152256012]
 CNC(=O)c1ccc(NC(=O)c2cccc(Nc3ccncn3)c2)cc1; [None]; [None]; [0]
-c1cc(Nc2ccncn2)c2snnc2c1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](Nc2ccncn2)CC1; ['C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'Brc1ccncn1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1']; ['Clc1ccncn1', 'Fc1ccncn1', 'C[C@]1(O)CC[C@@H](N)CC1', 'O=c1ccnc[nH]1', 'c1cncnc1']; [0.9997215270996094, 0.9989572167396545, 0.9967162609100342, 0.9961832761764526, 0.9589976668357849]
 COc1ccc(ONc2ccncn2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(Nc2ccncn2)n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1Nc1ccncn1; ['COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N', 'Brc1ccncn1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1F', 'COc1ccc(C#N)cc1N']; ['Clc1ccncn1', 'Ic1ccncn1', 'COc1ccc(C#N)cc1N', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999371767044067, 0.9999260306358337, 0.9998636245727539, 0.9998317956924438, 0.9998317956924438, 0.9998176097869873, 0.9991140365600586, 0.9989801645278931, 0.9984599351882935, 0.998238742351532, 0.9978052377700806]
+c1cc(Nc2ncc3cc[nH]c3n2)ncn1; ['Clc1ccncn1', 'Clc1ncc2cc[nH]c2n1', 'Brc1ccncn1']; ['Nc1ncc2cc[nH]c2n1', 'Nc1ccncn1', 'Nc1ncc2cc[nH]c2n1']; [0.9999916553497314, 0.9999532699584961, 0.999951183795929]
+c1cnc2c(Nc3ccncn3)c[nH]c2c1; ['Ic1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12', 'Clc1ccncn1', 'Clc1c[nH]c2cccnc12', 'Fc1ccncn1', 'Brc1ccncn1']; ['Nc1ccncn1', 'Nc1ccncn1', 'Nc1c[nH]c2cccnc12', 'Nc1ccncn1', 'Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12']; [0.9983920454978943, 0.9968990087509155, 0.9953703284263611, 0.9905304908752441, 0.9856882095336914, 0.9817312955856323]
+COc1ncccc1Nc1ccncn1; ['Brc1ccncn1', 'COc1ncccc1N', 'COc1ncccc1N', 'COc1ncccc1N', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1N', 'COc1ncccc1I', 'COc1ncccc1Cl', 'COc1ncccc1F']; ['COc1ncccc1N', 'Ic1ccncn1', 'Clc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9983424544334412, 0.9983257055282593, 0.9982322454452515, 0.9921252727508545, 0.99127197265625, 0.9901432991027832, 0.9884418249130249, 0.9815945625305176, 0.9249835014343262, 0.8707693815231323]
+COc1ccc(OC)c(Nc2ccncn2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1', 'Brc1ccncn1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(F)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(O)c1']; ['Nc1ccncn1', 'Clc1ccncn1', 'Ic1ccncn1', 'COc1ccc(OC)c(N)c1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.99946129322052, 0.9992977976799011, 0.9992666244506836, 0.9980143308639526, 0.9979469180107117, 0.9977619647979736, 0.9968252182006836, 0.9938545227050781, 0.9920973777770996, 0.9882504940032959, 0.9724010229110718, 0.9302899837493896]
+CC(=O)Nc1ncc(Nc2ccncn2)[nH]1; [None]; [None]; [0]
+OCCn1cnc(Nc2ccncn2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(Nc2ccncn2)c1; ['CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'Brc1ccncn1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1']; ['Clc1ccncn1', 'Ic1ccncn1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'Fc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9999946355819702, 0.9999842643737793, 0.9999788403511047, 0.9999294877052307, 0.9999045133590698, 0.9994657039642334, 0.9981648921966553]
+CC(=O)N(C)c1ccc(Nc2ccncn2)cc1; ['Brc1ccncn1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1']; ['CC(=O)N(C)c1ccc(N)cc1', 'Clc1ccncn1', 'Nc1ccncn1', 'Oc1ccncn1', 'O=c1ccnc[nH]1']; [0.9990360736846924, 0.9988093972206116, 0.9979770183563232, 0.9952602386474609, 0.994849443435669]
+CCOc1ccc(Nc2ccncn2)cc1; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(N)cc1', 'Brc1ccncn1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(F)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(Cl)cc1']; ['Nc1ccncn1', 'Ic1ccncn1', 'CCOc1ccc(N)cc1', 'Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.999606728553772, 0.998937726020813, 0.998779833316803, 0.9985612034797668, 0.9978244304656982, 0.9920438528060913, 0.9917535781860352, 0.9888811707496643, 0.9801390171051025, 0.9416111707687378, 0.9005797505378723]
+CN(C)c1cc(Nc2ccncn2)cnn1; [None]; [None]; [0]
 O=C(Nc1cccc(Nc2ccncn2)c1)C1CCNCC1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Nc2ccncn2)c1; ['CS(=O)(=O)c1cccc(N)c1', 'Brc1ccncn1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1']; ['Clc1ccncn1', 'CS(=O)(=O)c1cccc(N)c1', 'Nc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'O=c1ccnc[nH]1']; [0.9999697804450989, 0.9999607801437378, 0.9999167919158936, 0.9995547533035278, 0.9988380670547485, 0.9970025420188904]
+COc1cc(Nc2ccncn2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'Brc1ccncn1', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC']; ['Nc1ccncn1', 'Clc1ccncn1', 'COc1cc(N)cc(OC)c1OC', 'Nc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'Ic1ccncn1', 'O=c1ccnc[nH]1']; [0.9999157786369324, 0.9998340606689453, 0.9994516372680664, 0.9994478225708008, 0.9992187023162842, 0.9984241724014282, 0.9975196123123169, 0.9962347745895386]
+Cc1ccc2ncn(Nc3ccncn3)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(Nc2ccncn2)c1; ['N#Cc1ccc(O)c(N)c1', 'Clc1ccncn1', 'Brc1ccncn1', 'N#Cc1ccc(O)c(Br)c1', 'Fc1ccncn1', 'N#Cc1ccc(O)c(F)c1', 'N#Cc1ccc(O)c(Cl)c1']; ['O=c1ccnc[nH]1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'Nc1ccncn1', 'N#Cc1ccc(O)c(N)c1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9994232654571533, 0.9983782172203064, 0.9898763298988342, 0.9775839447975159, 0.9526063203811646, 0.9456813335418701, 0.8876878023147583]
+C1=C(c2c[nH]c3ccccc23)CCN(Nc2ccncn2)C1; [None]; [None]; [0]
+COc1ccc(Nc2ccncn2)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(N)cc1', 'Brc1ccncn1', 'COc1ccc(Br)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(I)cc1', 'COc1ccc(N)cc1', 'COc1ccc(F)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(N)cc1']; ['Nc1ccncn1', 'Clc1ccncn1', 'COc1ccc(N)cc1', 'Nc1ccncn1', 'Ic1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9995610117912292, 0.9983114004135132, 0.997583270072937, 0.9973543286323547, 0.9951282739639282, 0.9934073090553284, 0.9930066466331482, 0.9910570383071899, 0.9852178692817688, 0.936001181602478, 0.9344786405563354]
+c1ccc2[nH]c(C3CCN(Nc4ccncn4)CC3)nc2c1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2ccncn2)c1)C1CC1; ['Clc1ccncn1', 'Brc1ccncn1', 'Nc1ccncn1', 'Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1']; ['Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'O=C(Nc1cccc(Br)c1)C1CC1', 'O=c1ccnc[nH]1', 'Oc1ccncn1', 'Nc1ccncn1']; [0.9999970197677612, 0.9999728798866272, 0.9999370574951172, 0.9999361038208008, 0.9999333620071411, 0.9998965263366699]
+c1ccc2c(Nc3ccncn3)nccc2c1; ['Clc1ccncn1', 'Brc1ccncn1', 'Clc1nccc2ccccc12', 'Brc1nccc2ccccc12']; ['Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Nc1ccncn1', 'Nc1ccncn1']; [0.998579204082489, 0.9979701042175293, 0.9932810068130493, 0.9656301736831665]
+O=C([O-])c1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1', 'Fc1ccncn1', 'Nc1ccc(C(=O)[O-])cc1']; ['Nc1ccc(C(=O)[O-])cc1', 'Nc1ccc(C(=O)[O-])cc1', 'Oc1ccncn1']; [0.9022217988967896, 0.8760596513748169, 0.8702143430709839]
+c1cnc(NNc2ccncn2)nc1; ['Clc1ccncn1']; ['NNc1ncccn1']; [0.9630916118621826]
+c1ccc2[nH]c(Nc3ccncn3)nc2c1; ['Clc1ccncn1', 'Brc1nc2ccccc2[nH]1', 'Brc1ccncn1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1ccncn1', 'Nc1nc2ccccc2[nH]1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9945874214172363, 0.9882640838623047, 0.9841709136962891, 0.9619155526161194, 0.9451302289962769, 0.8118637800216675]
+NC(=O)c1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1', 'Brc1ccncn1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(N)cc1', 'Fc1ccncn1', 'NC(=O)c1ccc(F)cc1']; ['NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'Nc1ccncn1', 'Nc1ccncn1', 'NC(=O)c1ccc(N)cc1', 'Nc1ccncn1']; [0.999764084815979, 0.999252438545227, 0.9991121292114258, 0.9913582801818848, 0.9894577860832214, 0.9681024551391602]
 Cc1nc(C(C)(C)O)sc1Nc1ccncn1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(Nc2ccncn2)cc1; ['Nc1ccncn1', 'Clc1ccncn1', 'Brc1ccncn1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Fc1ccncn1', 'Nc1ccncn1']; ['O=C(Nc1ccccc1)c1ccc(Br)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Oc1ccncn1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1']; [0.9994357228279114, 0.999336838722229, 0.999107837677002, 0.99859219789505, 0.987402081489563, 0.7714699506759644]
+c1cc(Nc2ccncn2)cc(C2CCNCC2)c1; ['Clc1ccncn1']; ['Nc1cccc(C2CCNCC2)c1']; [0.9999940395355225]
+O=C(c1ccc(Nc2ccncn2)nc1)N1CCOCC1; ['Nc1ccncn1', 'Clc1ccncn1', 'Brc1ccncn1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cn1', 'Nc1ccc(C(=O)N2CCOCC2)cn1']; [0.99997878074646, 0.9999345541000366, 0.9995889067649841]
+CC(=O)NCc1ccc(Nc2ccncn2)cc1; ['CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccc(N)cc1', 'Brc1ccncn1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(F)cc1']; ['Nc1ccncn1', 'Clc1ccncn1', 'CC(=O)NCc1ccc(N)cc1', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9990065693855286, 0.9987790584564209, 0.9969781637191772, 0.9932750463485718, 0.9561012983322144]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3ccncn3)cc2)CC1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(Nc3ccncn3)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(Nc2ccncn2)nc(N)n1; [None]; [None]; [0]
+O=C(c1ccc(Nc2ccncn2)cc1)N1CCOCC1; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccncn1', 'Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; ['O=c1ccnc[nH]1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'Oc1ccncn1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(F)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1']; [0.9999960660934448, 0.9999544620513916, 0.9999383687973022, 0.9999364614486694, 0.999883234500885, 0.99985671043396, 0.9987270832061768, 0.9950989484786987, 0.9857547879219055]
+OCCOc1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1ccc(OCCO)cc1', 'Nc1ccncn1']; ['Nc1ccc(OCCO)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(I)cc1', 'Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'O=c1ccnc[nH]1', 'OCCOc1ccc(Cl)cc1']; [0.9998148679733276, 0.9991725087165833, 0.9989762306213379, 0.998700737953186, 0.9968018531799316, 0.9919676184654236, 0.7953316569328308]
+C[C@H](O)COc1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(Nc3ccncn3)cn2)c1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
+Oc1ccccc1CNc1ccncn1; ['Clc1ccncn1', 'NCc1ccccc1O', 'Fc1ccncn1', 'Brc1ccncn1']; ['NCc1ccccc1O', 'O=c1ccnc[nH]1', 'NCc1ccccc1O', 'NCc1ccccc1O']; [0.9810971021652222, 0.975614070892334, 0.9558059573173523, 0.9446545839309692]
+FC(F)(F)c1ccc(Nc2ccncn2)cc1; ['Nc1ccncn1', 'Ic1ccncn1', 'Clc1ccncn1', 'FC(F)(F)c1ccc(Br)cc1', 'Brc1ccncn1', 'FC(F)(F)c1ccc(I)cc1', 'Fc1ccncn1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'Fc1ccc(C(F)(F)F)cc1']; ['OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ccncn1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ccncn1', 'Nc1ccc(C(F)(F)F)cc1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.999657154083252, 0.9986070990562439, 0.997784435749054, 0.9972541332244873, 0.9968024492263794, 0.9952211380004883, 0.9605939388275146, 0.955370306968689, 0.9016280770301819, 0.8142445087432861, 0.8139597177505493]
+CN(C)c1ccc(Nc2ccncn2)cc1; ['CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'Brc1ccncn1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(F)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc(N)cc1']; ['Clc1ccncn1', 'Nc1ccncn1', 'CN(C)c1ccc(N)cc1', 'Nc1ccncn1', 'Ic1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9996912479400635, 0.9995654225349426, 0.9990827441215515, 0.9982068538665771, 0.997302770614624, 0.9972615242004395, 0.9963960647583008, 0.9922151565551758, 0.9916451573371887, 0.9860778450965881, 0.9826148152351379]
+CN(C)S(=O)(=O)c1ccc(Nc2ccncn2)cc1; ['CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'Brc1ccncn1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(F)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1']; ['Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9998416900634766, 0.999502420425415, 0.9994785189628601, 0.9992462396621704, 0.9989582300186157, 0.9978280067443848, 0.995705246925354, 0.9947783946990967]
+CS(=O)(=O)N1CCC(Nc2ccncn2)CC1; ['CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(=O)CC1', 'Brc1ccncn1']; ['Clc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'CS(=O)(=O)N1CCC(N)CC1']; [0.9997847676277161, 0.9996286034584045, 0.9991020560264587, 0.9982344508171082]
+CC(C)c1cc(Nc2ccncn2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Nc1ccncn1']; [0.9570874571800232]
+O=S1(=O)Cc2ccc(Nc3ccncn3)cc2C1; ['Nc1ccncn1', 'Clc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9999800324440002, 0.9999769926071167, 0.9999452829360962, 0.9999409914016724, 0.9999207854270935, 0.9992043972015381]
+CCNS(=O)(=O)c1ccc(Nc2ccncn2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccncn1', 'CCNS(=O)(=O)c1ccc(N)cc1']; ['Clc1ccncn1', 'Nc1ccncn1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'Fc1ccncn1']; [0.9795728921890259, 0.9598826169967651, 0.8680974245071411, 0.8641625642776489]
+CCCOc1ccc(Nc2ccncn2)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1ccncn1']; [0.9975341558456421]
+O=C(c1ccccc1)N1CC[C@H](Nc2ccncn2)C1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2ccncn2)cc1Cl; ['Brc1ccncn1', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(F)cc1Cl', 'CN(C)c1ccc(N)cc1Cl']; ['CN(C)c1ccc(N)cc1Cl', 'Nc1ccncn1', 'Clc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9998390674591064, 0.9994542002677917, 0.9992282390594482, 0.9989303946495056, 0.9961774349212646, 0.9939431548118591]
+Brc1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1', 'Ic1ccncn1', 'Nc1ccncn1', 'Brc1ccc(I)cc1', 'Nc1ccc(Br)cc1', 'Fc1ccncn1', 'Nc1ccc(Br)cc1', 'Fc1ccc(Br)cc1', 'Brc1ccncn1', 'Brc1ccc(Br)cc1', 'Clc1ccc(Br)cc1']; ['Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccc(Br)cc1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccc(Br)cc1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.998821496963501, 0.9988080263137817, 0.9986206293106079, 0.9979127049446106, 0.9945076704025269, 0.9881702661514282, 0.9776879549026489, 0.9451135993003845, 0.9283880591392517, 0.8228669166564941, 0.7798658609390259]
+Nc1ncc(CNc2ccncn2)cn1; [None]; [None]; [0]
+COc1ccc(CNc2ccncn2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CCl)cc1', 'Brc1ccncn1', 'COc1ccc(CO)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(CN)cc1']; ['Clc1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'Nc1ccncn1', 'COc1ccc(CN)cc1', 'Nc1ccncn1', 'Oc1ccncn1', 'Nc1ccncn1', 'Ic1ccncn1', 'Nc1ccncn1', 'c1cncnc1']; [0.9993387460708618, 0.9991054534912109, 0.997707724571228, 0.9976761341094971, 0.9975548982620239, 0.9973800182342529, 0.9961298108100891, 0.9947330355644226, 0.9903382062911987, 0.970502495765686, 0.8556181192398071]
+CCN(CC)C(=O)c1ccc(Nc2ccncn2)cc1; ['Brc1ccncn1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(F)cc1']; ['CCN(CC)C(=O)c1ccc(N)cc1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Clc1ccncn1', 'Oc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1']; [0.9965195059776306, 0.9963662624359131, 0.9961435794830322, 0.9918708801269531, 0.9910156726837158, 0.9868577718734741, 0.9610196948051453, 0.9608198404312134]
+CNS(=O)(=O)c1ccc(Nc2ccncn2)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1ccncn1']; [0.9989417195320129]
+c1cc(Nc2ccn3nccc3n2)ncn1; ['Clc1ccncn1', 'Brc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Clc1ccn2nccc2n1', 'Brc1ccncn1', 'Nc1ccncn1']; ['Nc1ccn2nccc2n1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccn2nccc2n1', 'O=c1ccn2nccc2[nH]1']; [0.9998916387557983, 0.999772846698761, 0.9997007846832275, 0.9993623495101929, 0.9985944628715515, 0.7691186666488647]
+c1ccc(-n2cccn2)c(Nc2ccncn2)c1; ['Clc1ccncn1', 'Brc1ccccc1-n1cccn1', 'Nc1ccncn1', 'Fc1ccncn1', 'Fc1ccccc1-n1cccn1', 'Brc1ccncn1', 'Clc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1']; ['Nc1ccccc1-n1cccn1', 'Nc1ccncn1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ccncn1', 'Nc1ccccc1-n1cccn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1']; [0.999927282333374, 0.9998634457588196, 0.9998003840446472, 0.9992077946662903, 0.9990736246109009, 0.9989352226257324, 0.99830162525177, 0.9483824968338013]
 CC(=O)N1CCCN(c2cccc(Nc3ccncn3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2ccncn2)nc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1Nc1ccncn1; ['COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1F', 'COc1ccc(Cl)cc1N', 'Brc1ccncn1', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1Cl']; ['Ic1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Clc1ccncn1', 'COc1ccc(Cl)cc1N', 'Fc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9998537302017212, 0.9998347759246826, 0.9996199607849121, 0.9995397329330444, 0.9991788864135742, 0.9990823864936829, 0.9990229606628418, 0.9989936351776123, 0.9988182187080383, 0.9953531622886658, 0.9952360987663269]
+c1ccc2c(Nc3ccncn3)c[nH]c2c1; ['Clc1ccncn1', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Fc1ccncn1', 'Brc1ccncn1', 'Clc1c[nH]c2ccccc12']; ['Nc1c[nH]c2ccccc12', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1ccncn1']; [0.9981120824813843, 0.9836804866790771, 0.9816532731056213, 0.9815658330917358, 0.9590935707092285, 0.9372239112854004, 0.9286983013153076]
+Cc1c(Nc2ccncn2)cccc1C(=O)[O-]; [None]; [None]; [0]
+c1cc(Nc2ccc3c(c2)CCO3)ncn1; ['Clc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Brc1ccc2c(c1)CCO2', 'Nc1ccncn1', 'Ic1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Clc1ccc2c(c1)CCO2']; ['Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ccncn1', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9998960494995117, 0.9998770952224731, 0.9997106790542603, 0.9997010231018066, 0.9994956851005554, 0.9994121789932251, 0.9988865852355957, 0.9500092267990112]
+COc1cc(OC)c(Nc2ccncn2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Br)cc1Cl', 'Brc1ccncn1', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N']; ['Ic1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'COc1cc(OC)c(Cl)cc1N', 'O=c1ccnc[nH]1', 'Clc1ccncn1', 'Nc1ccncn1']; [0.9991522431373596, 0.9988470673561096, 0.9987709522247314, 0.9982309341430664, 0.9963476657867432, 0.9954369068145752, 0.9843509793281555]
+c1ccc(-c2cc(Nc3ccncn3)n[nH]2)cc1; ['Clc1ccncn1', 'Clc1ccncn1', 'Fc1ccncn1']; ['Nc1cc(-c2ccccc2)n[nH]1', 'Nc1cc(-c2ccccc2)[nH]n1', 'Nc1cc(-c2ccccc2)[nH]n1']; [0.9971376657485962, 0.9938514828681946, 0.7600222826004028]
+c1cc(Nc2ccncn2)c2c(c1)OCO2; ['Fc1ccncn1', 'Ic1cccc2c1OCO2', 'Clc1ccncn1', 'Nc1ccncn1', 'Ic1ccncn1', 'Brc1cccc2c1OCO2', 'Fc1cccc2c1OCO2', 'Brc1ccncn1', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2']; ['Nc1cccc2c1OCO2', 'Nc1ccncn1', 'Nc1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cccc2c1OCO2', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9986217021942139, 0.9981032013893127, 0.9970812201499939, 0.9968581199645996, 0.9967163801193237, 0.9942270517349243, 0.9931643009185791, 0.9770302176475525, 0.8752986788749695, 0.8024721145629883]
+COc1cc(Nc2ccncn2)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'Brc1ccncn1', 'COc1cc(Br)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(F)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Cl)ccc1O']; ['O=c1ccnc[nH]1', 'Clc1ccncn1', 'COc1cc(N)ccc1O', 'Nc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Oc1ccncn1', 'Nc1ccncn1']; [0.9995622038841248, 0.9993445873260498, 0.9992346167564392, 0.9972493648529053, 0.9938520193099976, 0.9888430833816528, 0.9762077331542969, 0.9065035581588745]
+COc1cc(C(=O)N2CCOCC2)ccc1Nc1ccncn1; ['COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'Brc1ccncn1', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N']; ['O=c1ccnc[nH]1', 'Clc1ccncn1', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'Oc1ccncn1', 'Fc1ccncn1']; [0.9999632835388184, 0.9998339414596558, 0.9983909130096436, 0.9971814751625061, 0.9967800378799438]
+Fc1ccc2nc(CNc3ccncn3)[nH]c2c1F; [None]; [None]; [0]
+c1ccc2ncc(Nc3ccncn3)cc2c1; ['Nc1ccncn1', 'Clc1ccncn1', 'Ic1ccncn1', 'Brc1ccncn1', 'Fc1cnc2ccccc2c1', 'Fc1ccncn1', 'Ic1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['OB(O)c1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccncn1', 'Nc1cnc2ccccc2c1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1']; [0.9996033906936646, 0.9990595579147339, 0.9962047338485718, 0.9933580160140991, 0.9919754266738892, 0.991801381111145, 0.9797084927558899, 0.9766419529914856, 0.9687513113021851, 0.9627431035041809]
+CN(C)C(=O)c1ccc(Nc2ccncn2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'Brc1ccncn1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(F)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1']; ['Clc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'CN(C)C(=O)c1ccc(N)cc1', 'Nc1ccncn1', 'Oc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.999354362487793, 0.9990379810333252, 0.9989060163497925, 0.9983198642730713, 0.9979352951049805, 0.9971858859062195, 0.9966017603874207, 0.9938828349113464, 0.9929211735725403, 0.9726431369781494]
+c1ccc2[nH]c(CNc3ccncn3)nc2c1; ['Clc1ccncn1', 'ClCc1nc2ccccc2[nH]1', 'Ic1ccncn1', 'Fc1ccncn1', 'Brc1ccncn1', 'BrCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'Nc1ccncn1']; ['NCc1nc2ccccc2[nH]1', 'Nc1ccncn1', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'O=Cc1nc2ccccc2[nH]1']; [0.9996262788772583, 0.9964380860328674, 0.9895426630973816, 0.9887332320213318, 0.9730621576309204, 0.9528334736824036, 0.9398741126060486, 0.8938374519348145]
+CC(C)(C)c1ccc(Nc2ccncn2)cn1; ['Brc1ccncn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1']; ['CC(C)(C)c1ccc(N)cn1', 'Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Ic1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'Nc1ccncn1']; [0.9998723268508911, 0.9997410178184509, 0.999737024307251, 0.9996522068977356, 0.9996294975280762, 0.9994043707847595, 0.9988434910774231, 0.9745883345603943]
+Fc1ccc2[nH]c(CNc3ccncn3)nc2c1F; [None]; [None]; [0]
 CC(C)c1ccc2nc(Nc3ccncn3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Nc1ccncn1; [None]; [None]; [0]
-Nc1cc(Nc2ccncn2)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1cccc(C(=O)NNc2ccncn2)c1; ['COc1cccc(C(=O)O)c1', 'COc1cccc(C(=O)Cl)c1', 'COC(=O)c1cccc(OC)c1', 'COc1cccc(C(=O)NN)c1', 'CCOC(=O)c1cccc(OC)c1']; ['NNc1ccncn1', 'NNc1ccncn1', 'NNc1ccncn1', 'Clc1ccncn1', 'NNc1ccncn1']; [0.9978102445602417, 0.9974108934402466, 0.9662162065505981, 0.9584489464759827, 0.9385526180267334]
+c1ccc(CCCNc2ccncn2)cc1; ['Clc1ccncn1', 'Fc1ccncn1', 'ICCCc1ccccc1', 'ClCCCc1ccccc1', 'Ic1ccncn1', 'COc1ccncn1', 'Brc1ccncn1', 'NCCCc1ccccc1', 'BrCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'Nc1ccncn1', 'Nc1ccncn1']; ['NCCCc1ccccc1', 'NCCCc1ccccc1', 'Nc1ccncn1', 'Nc1ccncn1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'c1cncnc1', 'Nc1ccncn1', 'OCCCc1ccccc1', 'O=CCCc1ccccc1']; [0.9997924566268921, 0.9975632429122925, 0.9972411394119263, 0.9964936375617981, 0.9952981472015381, 0.9936321973800659, 0.9930931329727173, 0.9926680326461792, 0.9724032878875732, 0.9722674489021301, 0.9694175720214844, 0.8951660394668579, 0.8289740085601807]
+c1ccc2sc(Nc3ccncn3)cc2c1; ['Clc1ccncn1']; ['Nc1cc2ccccc2s1']; [0.9988958835601807]
+CSc1ccc(Nc2ccncn2)cc1; ['CSc1ccc(B(O)O)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'Brc1ccncn1', 'CSc1ccc(N)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(Cl)cc1']; ['Nc1ccncn1', 'Ic1ccncn1', 'Clc1ccncn1', 'CSc1ccc(N)cc1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9993115663528442, 0.9991544485092163, 0.9988404512405396, 0.9984695911407471, 0.9977513551712036, 0.9921386241912842, 0.9916059374809265, 0.9615240097045898, 0.9541552066802979, 0.8325341939926147]
+Cc1cc(Nc2ccncn2)nc(N)n1; ['Cc1cc(Br)nc(N)n1', 'Cc1cc(N)nc(N)n1', 'Cc1cc(Cl)nc(N)n1']; ['Nc1ccncn1', 'Clc1ccncn1', 'Nc1ccncn1']; [0.9751448631286621, 0.9547531604766846, 0.9406173229217529]
+c1cc(Nc2scc3c2OCCO3)ncn1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(Nc3ccncn3)n2)c1; [None]; [None]; [0]
+Cc1ccc(Nc2ccncn2)c(=O)[nH]1; [None]; [None]; [0]
+CC[C@@H](CO)Nc1ccncn1; ['CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'Brc1ccncn1']; ['Clc1ccncn1', 'Oc1ccncn1', 'Ic1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'CC[C@H](N)CO']; [0.9980834722518921, 0.9969472289085388, 0.9940184950828552, 0.9871468544006348, 0.9672770500183105, 0.9420453906059265]
+Fc1ccc(Nc2ccncn2)c(Cl)c1; ['Fc1ccc(Br)c(Cl)c1', 'Ic1ccncn1', 'Nc1ccc(F)cc1Cl', 'Brc1ccncn1', 'Clc1ccncn1', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccncn1', 'Fc1ccc(F)c(Cl)c1', 'Fc1ccc(Cl)c(Cl)c1']; ['Nc1ccncn1', 'Nc1ccc(F)cc1Cl', 'O=c1ccnc[nH]1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Nc1ccncn1', 'Nc1ccc(F)cc1Cl', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9997354745864868, 0.9988548755645752, 0.9988064169883728, 0.998212993144989, 0.9973402619361877, 0.9963167905807495, 0.9431666135787964, 0.9376306533813477, 0.8221173286437988]
+OC[C@H](Cc1ccccc1)Nc1ccncn1; ['Clc1ccncn1', 'N[C@H](CO)Cc1ccccc1', 'Ic1ccncn1', 'Brc1ccncn1', 'N[C@H](CO)Cc1ccccc1', 'Fc1ccncn1']; ['N[C@H](CO)Cc1ccccc1', 'Oc1ccncn1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'O=c1ccnc[nH]1', 'N[C@H](CO)Cc1ccccc1']; [0.9996538162231445, 0.9959601163864136, 0.994472861289978, 0.9895937442779541, 0.9838052988052368, 0.9736043214797974]
+CCN1CCN(Cc2ccc(Nc3ccncn3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'Brc1ccncn1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Clc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'Nc1ccncn1']; [0.9964377880096436, 0.9808306694030762, 0.9772861003875732, 0.9705104827880859, 0.9528926610946655]
+Brc1cnc(Nc2ccncn2)nc1; ['Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Clc1ccncn1', 'Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Brc1ccncn1', 'CS(=O)c1ncc(Br)cn1']; ['Nc1ccncn1', 'Nc1ccncn1', 'Nc1ncc(Br)cn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ncc(Br)cn1', 'Nc1ccncn1']; [0.9999653100967407, 0.9998794794082642, 0.9998724460601807, 0.9997833967208862, 0.9956341981887817, 0.9930578470230103, 0.9884897470474243, 0.9661324620246887]
+O=C1CCc2cc(Nc3ccncn3)ccc2N1; ['Nc1ccncn1', 'Clc1ccncn1', 'Nc1ccc2c(c1)CCC(=O)N2', 'Fc1ccncn1', 'Nc1ccncn1', 'Brc1ccncn1', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccncn1', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccncn1']; ['O=C1CCc2cc(Br)ccc2N1', 'Nc1ccc2c(c1)CCC(=O)N2', 'Oc1ccncn1', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(F)ccc2N1', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=c1ccnc[nH]1', 'O=C1CCc2cc(I)ccc2N1', 'Nc1ccncn1', 'O=C1CCc2cc(Cl)ccc2N1']; [0.9999564290046692, 0.9999486207962036, 0.9999407529830933, 0.9996765851974487, 0.9996764659881592, 0.999470591545105, 0.999463677406311, 0.9992794990539551, 0.998822808265686, 0.9932430982589722]
+CCc1ccc(Nc2ccncn2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(B(O)O)cc1', 'Brc1ccncn1', 'CCc1ccc(N)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(F)cc1', 'CCc1ccc(Cl)cc1']; ['Clc1ccncn1', 'Nc1ccncn1', 'CCc1ccc(N)cc1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Ic1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9986411333084106, 0.9982764720916748, 0.9978528022766113, 0.9977179169654846, 0.997018575668335, 0.9964275360107422, 0.9935126304626465, 0.9833934903144836, 0.9713147878646851, 0.9661029577255249, 0.8986452221870422]
+COc1ccc(Nc2ccncn2)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'Brc1ccncn1', 'COc1ccc(N)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(F)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(N)cc1OC']; ['Nc1ccncn1', 'COc1ccc(N)cc1OC', 'Clc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999804496765137, 0.999956488609314, 0.9999129176139832, 0.9997044801712036, 0.9992187023162842, 0.9989240169525146, 0.9988503456115723, 0.9977770447731018, 0.9953485727310181, 0.9946292638778687]
+Clc1ccc(Nc2ccncn2)c(Cl)c1; ['Nc1ccc(Cl)cc1Cl', 'Nc1ccncn1', 'Brc1ccncn1', 'Clc1ccc(Br)c(Cl)c1', 'Ic1ccncn1', 'Clc1ccncn1', 'Fc1ccncn1', 'Clc1ccc(I)c(Cl)c1', 'Nc1ccc(Cl)cc1Cl', 'Fc1ccc(Cl)cc1Cl']; ['O=c1ccnc[nH]1', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccncn1', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9991626739501953, 0.9989885091781616, 0.9976524114608765, 0.9967359304428101, 0.9963719844818115, 0.9955356121063232, 0.994774341583252, 0.9846513271331787, 0.9818517565727234, 0.9763302803039551]
+COc1cc(Nc2ccncn2)ccc1N1CCOCC1; ['COc1cc(N)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'Brc1ccncn1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1']; ['Clc1ccncn1', 'Nc1ccncn1', 'COc1cc(N)ccc1N1CCOCC1', 'Fc1ccncn1', 'O=c1ccnc[nH]1']; [0.9999992847442627, 0.9999961853027344, 0.9999923706054688, 0.9999901652336121, 0.9999104738235474]
+c1cc(NCCCn2cncn2)ncn1; ['Clc1ccncn1', 'Nc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1']; ['NCCCn1cncn1', 'OCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1']; [0.9997682571411133, 0.9977490305900574, 0.9969769716262817, 0.9956519603729248]
+c1cc2cnc(Nc3ccncn3)nn2c1; ['Clc1ncc2cccn2n1']; ['Nc1ccncn1']; [0.9992898106575012]
+Cn1cc(Nc2ccncn2)c(C(F)(F)F)n1; ['Clc1ccncn1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Brc1ccncn1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1']; ['Cn1cc(N)c(C(F)(F)F)n1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Nc1ccncn1', 'Fc1ccncn1']; [0.9999551177024841, 0.9996882677078247, 0.9996455907821655, 0.9996061325073242, 0.9984792470932007, 0.9946564435958862]
+c1ccn2nc(Nc3ccncn3)cc2c1; ['Clc1ccncn1', 'Fc1ccncn1', 'Brc1cc2ccccn2n1', 'Brc1ccncn1', 'Clc1cc2ccccn2n1', 'Nc1cc2ccccn2n1']; ['Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Nc1ccncn1', 'Nc1cc2ccccn2n1', 'Nc1ccncn1', 'O=c1ccnc[nH]1']; [0.9991878271102905, 0.995326817035675, 0.9801602363586426, 0.9713304042816162, 0.9672648906707764, 0.9008610248565674]
+Oc1ccc2cccc(Nc3ccncn3)c2c1; ['Nc1ccncn1', 'Clc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1']; ['Oc1ccc2cccc(Br)c2c1', 'Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12', 'Oc1ccc2cccc(Cl)c2c1']; [0.9980684518814087, 0.9971922636032104, 0.9956319332122803, 0.9849692583084106, 0.9722908735275269]
+Cc1csc2c(Nc3ccncn3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1ccncn1']; [0.9993298053741455]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
+Clc1cnc(Nc2ccncn2)nc1; ['Clc1cnc(I)nc1', 'Brc1ccncn1', 'Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1', 'Clc1ccncn1', 'CSc1ncc(Cl)cn1', 'CS(=O)(=O)c1ncc(Cl)cn1', 'CS(=O)c1ncc(Cl)cn1']; ['Nc1ccncn1', 'Nc1ncc(Cl)cn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ncc(Cl)cn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9997748732566833, 0.9992787837982178, 0.9992200136184692, 0.9989568591117859, 0.9986863136291504, 0.9950394630432129, 0.9906871318817139, 0.9818032383918762]
+COc1ccc2cccc(Nc3ccncn3)c2c1; ['COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'Brc1ccncn1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(O)c2c1']; ['Clc1ccncn1', 'Ic1ccncn1', 'COc1ccc2cccc(N)c2c1', 'Fc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9997182488441467, 0.9995599389076233, 0.9992823600769043, 0.9987542629241943, 0.9982844591140747, 0.995282769203186, 0.9835737943649292, 0.9703196287155151]
+COc1cc(Nc2ccncn2)ccc1Cl; ['Brc1ccncn1', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cc(N)ccc1Cl']; ['COc1cc(N)ccc1Cl', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Clc1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999808073043823, 0.9999539852142334, 0.99979567527771, 0.9997621774673462, 0.9997082948684692, 0.999680757522583, 0.9995992183685303, 0.9992982745170593, 0.9974623918533325]
+COc1cc(F)c(Nc2ccncn2)cc1OC; ['COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'Brc1ccncn1', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(F)cc1OC']; ['Nc1ccncn1', 'Clc1ccncn1', 'Ic1ccncn1', 'COc1cc(N)c(F)cc1OC', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'Nc1ccncn1']; [0.9999682903289795, 0.9999634027481079, 0.9998846054077148, 0.999883770942688, 0.9996072053909302, 0.9994949698448181, 0.9971518516540527, 0.9956972002983093]
+CCNC(=O)c1ccc(Nc2ccncn2)nc1; ['CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc(Cl)nc1']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.9929825067520142, 0.9744556546211243]
+CNC(=O)c1ccc(Nc2ccncn2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(Br)cc1', 'Brc1ccncn1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(F)cc1']; ['Nc1ccncn1', 'Clc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'CNC(=O)c1ccc(N)cc1', 'Nc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1']; [0.9996234178543091, 0.9992746114730835, 0.9986310005187988, 0.9984732866287231, 0.9983620643615723, 0.997031569480896, 0.9869650602340698, 0.7992385029792786]
+Nc1cc(Nc2ccncn2)c2cc[nH]c2n1; ['Nc1cc(Br)c2cc[nH]c2n1']; ['Nc1ccncn1']; [0.9770692586898804]
+CO[C@@H]1CC[C@@H](Nc2ccncn2)CC1; ['CO[C@H]1CC[C@H](N)CC1', 'Brc1ccncn1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1']; ['Clc1ccncn1', 'CO[C@H]1CC[C@H](N)CC1', 'Ic1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1']; [0.9999647736549377, 0.9998969435691833, 0.9998394250869751, 0.9998306632041931, 0.9998178482055664]
+CCNC(=O)N1CCC(Nc2ccncn2)CC1; [None]; [None]; [0]
+COc1cc(Nc2ccncn2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9981273412704468, 0.997270941734314, 0.9192901849746704]
+COc1ccc(OC)c(CNc2ccncn2)c1; ['COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'Brc1ccncn1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CCl)c1', 'COc1ccc(OC)c(CBr)c1', 'COc1ccc(OC)c(C=O)c1', 'COc1ccc(OC)c(CO)c1']; ['Clc1ccncn1', 'Fc1ccncn1', 'COc1ccc(OC)c(CN)c1', 'O=c1ccnc[nH]1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9991720914840698, 0.9972248673439026, 0.9970839023590088, 0.9960198402404785, 0.9914277195930481, 0.9765356779098511, 0.9665790796279907, 0.8004580140113831]
+CC1(C)Cc2cc(Nc3ccncn3)ccc2O1; [None]; [None]; [0]
+COc1cc(Nc2ccncn2)cc(OC)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(F)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'Brc1ccncn1', 'COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(N)cc(OC)c1']; ['Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Clc1ccncn1', 'COc1cc(N)cc(OC)c1', 'Fc1ccncn1', 'Ic1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1']; [0.9994078874588013, 0.9982791543006897, 0.9973517656326294, 0.996849536895752, 0.9949218034744263, 0.9650682210922241, 0.9606514573097229, 0.9596843719482422, 0.9577826857566833, 0.945636510848999]
 COc1cc(CS(C)(=O)=O)ccc1Nc1ccncn1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(Nc2ccncn2)c1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NNc2ccncn2)c1; [None]; [None]; [0]
+c1cc(Nc2ccc3cn[nH]c3c2)ncn1; ['Clc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'Brc1ccncn1', 'Brc1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1', 'Fc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1']; ['Nc1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Nc1ccncn1']; [0.9999996423721313, 0.9999994039535522, 0.999993085861206, 0.9999924898147583, 0.9999737739562988, 0.9999246597290039, 0.9999161958694458, 0.9998769164085388, 0.9971182942390442]
 COc1ccc2c(c1)c(Nc1ccncn1)cn2C; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(Nc3ccncn3)[nH]c2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(Nc2ccncn2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'Brc1ccncn1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['Clc1ccncn1', 'CNC(=O)c1ccc(OC)c(N)c1', 'Fc1ccncn1', 'Nc1ccncn1']; [0.9994635581970215, 0.9992870092391968, 0.9922977089881897, 0.9540279507637024]
+c1cncc(-c2ccnc(Nc3ccncn3)c2)c1; ['Clc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1']; ['Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1']; [0.9996907711029053, 0.9988008141517639, 0.9946244955062866]
+c1cc(Nc2ncc3sccc3n2)ncn1; ['Clc1ncc2sccc2n1']; ['Nc1ccncn1']; [0.9999971389770508]
+CC(C)c1nn(C)cc1Nc1ccncn1; ['CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1I']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.9977728128433228, 0.9969485998153687]
+c1ccc2oc(Nc3ccncn3)cc2c1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)NNc2ccncn2)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['NNc1ccncn1']; [0.9971984028816223]
+COc1ccc2nc(Nc3ccncn3)[nH]c2c1; ['COc1ccc2nc(Cl)[nH]c2c1']; ['Nc1ccncn1']; [0.949921190738678]
+COc1ccc2oc(Nc3ccncn3)cc2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(Nc2ccncn2)cc1; ['Nc1ccncn1', 'Brc1ccncn1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'Ic1ccncn1', 'Clc1ccncn1', 'Nc1ccc(OC(F)(F)F)cc1', 'Fc1ccncn1', 'Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'Fc1ccc(OC(F)(F)F)cc1']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'O=c1ccnc[nH]1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.999982476234436, 0.9998800754547119, 0.999871015548706, 0.9998685121536255, 0.9997549057006836, 0.9997400045394897, 0.9990572929382324, 0.9971692562103271, 0.9962990283966064, 0.9952189922332764, 0.9821706414222717]
+C[NH+](C)Cc1ccc(Nc2ccncn2)cc1; [None]; [None]; [0]
+CCc1cccc(Nc2ccncn2)n1; ['CCc1cccc(N)n1', 'CCc1cccc(Br)n1', 'Brc1ccncn1', 'CCc1cccc(N)n1']; ['Clc1ccncn1', 'Nc1ccncn1', 'CCc1cccc(N)n1', 'O=c1ccnc[nH]1']; [0.9890400171279907, 0.9861125946044922, 0.9802313446998596, 0.9594522714614868]
 c1cc(Nc2ncn3c2CCCC3)ncn1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2ccncn2)c1)N1CCCC1; [None]; [None]; [0]
+Cn1cc(Br)cc1Nc1ccncn1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2ccncn2)cn1; ['CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(N)cn1', 'Brc1ccncn1', 'CN(C)c1ccc(F)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(Cl)cn1']; ['Nc1ccncn1', 'Clc1ccncn1', 'CN(C)c1ccc(N)cn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'O=c1ccnc[nH]1', 'Fc1ccncn1', 'Nc1ccncn1']; [0.999940037727356, 0.9998937845230103, 0.9998422861099243, 0.9997565746307373, 0.9995630979537964, 0.9995318651199341, 0.9993873834609985, 0.9971109628677368, 0.9897787570953369]
+O=C(NNc1ccncn1)c1cccc(OC(F)(F)F)c1; ['NNc1ccncn1', 'NNc1ccncn1', 'Clc1ccncn1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'NNC(=O)c1cccc(OC(F)(F)F)c1']; [0.9999822378158569, 0.9999334812164307, 0.9997216463088989]
+Cc1n[nH]c2cc(Nc3ccncn3)ccc12; ['Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(F)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Brc1ccncn1', 'Cc1n[nH]c2cc(N)ccc12']; ['Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1', 'Cc1n[nH]c2cc(N)ccc12', 'O=c1ccnc[nH]1']; [0.9999984502792358, 0.9999940395355225, 0.9999796152114868, 0.9999756813049316, 0.9999699592590332, 0.9999617338180542, 0.9999358057975769]
+Cn1nc(Cl)c2cc(Nc3ccncn3)ccc21; [None]; [None]; [0]
+OCCc1ccc(Nc2ccncn2)cc1; ['Clc1ccncn1', 'Brc1ccncn1', 'Nc1ccc(CCO)cc1', 'Nc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1']; ['Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'O=c1ccnc[nH]1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1', 'Nc1ccc(CCO)cc1']; [0.9987759590148926, 0.9906457662582397, 0.9904713034629822, 0.9902557730674744, 0.987495481967926, 0.9832444190979004]
+O=C1CCCN1c1cccc(Nc2ccncn2)c1; ['Clc1ccncn1', 'Fc1ccncn1', 'Brc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cccc(N2CCCC2=O)c1']; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Cl)c1', 'Nc1ccncn1']; [0.9999599456787109, 0.9998891353607178, 0.9993816614151001, 0.9993499517440796, 0.9925726652145386, 0.9842823147773743]
+Cc1cc(Nc2ccncn2)cc(C)c1OCCO; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2ccncn2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1Nc1ccncn1; ['COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1Br', 'Brc1ccncn1', 'COc1cc(S(C)(=O)=O)ccc1N']; ['Clc1ccncn1', 'Nc1ccncn1', 'COc1cc(S(C)(=O)=O)ccc1N', 'Fc1ccncn1']; [0.9999286532402039, 0.9998465776443481, 0.9997226595878601, 0.9987988471984863]
+CNC(=O)c1ccc(Nc2ccncn2)c(OC)c1; ['CNC(=O)c1ccc(N)c(OC)c1', 'Brc1ccncn1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['Clc1ccncn1', 'CNC(=O)c1ccc(N)c(OC)c1', 'Nc1ccncn1']; [0.9826880693435669, 0.9762611389160156, 0.9733092784881592]
 CC(=O)N1CCC(n2cc(Nc3ccncn3)cn2)CC1; [None]; [None]; [0]
-O=C(NNc1ccncn1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1Nc1ccncn1; ['Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N', 'Brc1ccncn1']; ['Clc1ccncn1', 'Fc1ccncn1', 'O=c1ccnc[nH]1', 'Cc1cc(N2CCOCC2)ccc1N']; [0.9999997019767761, 0.9999955892562866, 0.9999841451644897, 0.9999508857727051]
 Cc1ncc(-c2ccc(Nc3ccncn3)cc2)n1C; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(Nc3ccncn3)[nH]c2c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1Nc1ccncn1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2ccncn2)cc1; ['Brc1ccncn1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(N)cc1']; ['CCNC(=O)c1ccc(N)cc1', 'Nc1ccncn1', 'Clc1ccncn1', 'Nc1ccncn1', 'Fc1ccncn1']; [0.9954718351364136, 0.988470196723938, 0.9837977886199951, 0.9146347045898438, 0.8988192677497864]
 COc1cc(-c2cnn(C)c2)ccc1Nc1ccncn1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1ccncn1; [None]; [None]; [0]
-O=c1c2c(F)cccc2cnn1Nc1ncc(Br)cn1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(Nc2ccncn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ccncn1']; [0.999818742275238]
+CNC(=O)c1ccc(C)c(Nc2ccncn2)c1; ['CNC(=O)c1ccc(C)c(N)c1', 'Brc1ccncn1']; ['Clc1ccncn1', 'CNC(=O)c1ccc(C)c(N)c1']; [0.999245822429657, 0.994499921798706]
+CCNC(=O)Cc1ccc(Nc2ccncn2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1ccncn1']; [0.9995776414871216]
+CN(C)C(=O)c1ccc(Nc2ccncn2)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1ccncn1', 'Nc1ccncn1']; [0.9980361461639404, 0.993618369102478]
+CNC(=O)c1ccccc1Nc1ncc(Br)cn1; ['CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1N', 'Brc1cnc(I)nc1', 'CNC(=O)c1ccccc1N', 'Brc1cnc(Br)nc1', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1F', 'CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1N']; ['Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CNC(=O)c1ccccc1N', 'CS(=O)(=O)c1ncc(Br)cn1', 'CNC(=O)c1ccccc1N', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; [0.9960912466049194, 0.9894319176673889, 0.9877166748046875, 0.9865599870681763, 0.9724889993667603, 0.9711710214614868, 0.9652658700942993, 0.9316859245300293, 0.9272143840789795, 0.8393816947937012]
+CCOc1ccccc1Nc1ncc(Br)cn1; ['CCOc1ccccc1N', 'Brc1cnc(I)nc1', 'CCOc1ccccc1F', 'CCOc1ccccc1N', 'CCOc1ccccc1N', 'Brc1cnc(Br)nc1', 'CCOc1ccccc1Br', 'CCOc1ccccc1N', 'CCOc1ccccc1N', 'CCOc1ccccc1N']; ['Clc1ncc(Br)cn1', 'CCOc1ccccc1N', 'Nc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CCOc1ccccc1N', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'FC(F)(F)COc1ncc(Br)cn1']; [0.999862790107727, 0.9992287158966064, 0.9987172484397888, 0.9985071420669556, 0.9979733824729919, 0.9941798448562622, 0.992580771446228, 0.9909935593605042, 0.9860638380050659, 0.8516033887863159]
+COC(C)(C)CCNc1ncc(Br)cn1; ['COC(C)(C)CCN', 'Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1', 'COC(C)(C)CCN', 'COC(C)(C)CC=O']; ['Clc1ncc(Br)cn1', 'COC(C)(C)CCN', 'COC(C)(C)CCN', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9985470175743103, 0.9949885606765747, 0.9860986471176147, 0.9618709087371826, 0.798766016960144]
+CC(C)S(=O)(=O)c1ccccc1Nc1ncc(Br)cn1; ['Brc1cnc(I)nc1', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1N']; ['CC(C)S(=O)(=O)c1ccccc1N', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; [0.999908447265625, 0.9997831583023071, 0.9987243413925171, 0.9941107034683228, 0.9875674247741699]
+Fc1cc(F)cc(CNc2ncc(Br)cn2)c1; ['Brc1cnc(Br)nc1', 'Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Nc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Fc1cc(F)cc(CBr)c1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'NCc1cc(F)cc(F)c1']; ['NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'O=Cc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'Nc1ncc(Br)cn1', 'NCc1cc(F)cc(F)c1', 'OCc1cc(F)cc(F)c1', 'NCc1cc(F)cc(F)c1', 'O=c1ncc(Br)c[nH]1']; [0.9999783039093018, 0.999911904335022, 0.9998899698257446, 0.9998743534088135, 0.9996665716171265, 0.9996589422225952, 0.9995640516281128, 0.9995274543762207, 0.9987512826919556, 0.9924736022949219]
+Cc1ccc(C(=O)NCCO)cc1Nc1ccncn1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1Nc1ncc(Br)cn1; ['CP(C)(=O)c1ccccc1N', 'Brc1cnc(Br)nc1', 'CP(C)(=O)c1ccccc1N', 'CP(C)(=O)c1ccccc1N', 'CP(C)(=O)c1ccccc1N']; ['Clc1ncc(Br)cn1', 'CP(C)(=O)c1ccccc1N', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; [0.9997563362121582, 0.9994816780090332, 0.9991518259048462, 0.9973591566085815, 0.9965870380401611]
 Cn1nc(Nc2ccncn2)cc1C(C)(C)O; [None]; [None]; [0]
+CCn1cc(Nc2ncc(Br)cn2)cn1; ['CCn1cc(N)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CCn1cc(I)cn1', 'CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'CCn1cc(Br)cn1']; ['Clc1ncc(Br)cn1', 'CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999483823776245, 0.999821662902832, 0.9995490908622742, 0.999489426612854, 0.9992388486862183, 0.9950023889541626, 0.9885168075561523]
+FC(F)(F)c1cccc(Nc2ncc(Br)cn2)c1; ['Brc1cnc(I)nc1', 'FC(F)(F)c1cccc(I)c1', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Fc1cccc(C(F)(F)F)c1', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'FC(F)(F)c1cccc(Br)c1']; ['Nc1cccc(C(F)(F)F)c1', 'Nc1ncc(Br)cn1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1ncc(Br)cn1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1cccc(C(F)(F)F)c1', 'O=CNc1cccc(C(F)(F)F)c1', 'Nc1ncc(Br)cn1']; [0.9999772310256958, 0.9999463558197021, 0.9998389482498169, 0.9993773698806763, 0.9987291097640991, 0.9983004331588745, 0.9968199133872986, 0.9953700304031372, 0.9880358576774597, 0.9836642742156982, 0.9485254287719727]
+Brc1cnc(Nc2ccnc3ccccc23)nc1; ['Clc1ncc(Br)cn1', 'Clc1ccnc2ccccc12', 'Fc1ccnc2ccccc12', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Ic1ccnc2ccccc12', 'Brc1ccnc2ccccc12']; ['Nc1ccnc2ccccc12', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ccnc2ccccc12', 'Nc1ccnc2ccccc12', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9998310804367065, 0.9988610744476318, 0.9980002641677856, 0.9976049065589905, 0.9970242381095886, 0.996291995048523, 0.9673882722854614]
+C[C@H](CS(C)(=O)=O)Nc1ccncn1; [None]; [None]; [0]
+O=C([O-])c1ccccc1Nc1ncc(Br)cn1; ['Nc1ncc(Br)cn1']; ['O=C([O-])c1ccccc1F']; [0.9336056709289551]
+NC(=O)c1ccccc1Nc1ncc(Br)cn1; ['Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1Br', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CSc1ncc(Br)cn1']; ['NC(=O)c1ccccc1N', 'NC(=O)c1ccccc1N', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'NC(=O)c1ccccc1N', 'NC(=O)c1ccccc1N', 'NC(=O)c1ccccc1N']; [0.9923266768455505, 0.9891011714935303, 0.9774655103683472, 0.9699491858482361, 0.8878020644187927, 0.8543111085891724, 0.8453788161277771, 0.7601757049560547]
+Cn1cnc2ccc(Nc3ncc(Br)cn3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1ncc(Br)cn1']; [0.9970174431800842]
+FC(F)(F)Oc1ccccc1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'FC(F)(F)Oc1ccccc1I', 'Brc1cnc(Br)nc1', 'FC(F)(F)Oc1ccccc1Br', 'Fc1ccccc1OC(F)(F)F', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'Nc1ncc(Br)cn1', 'Nc1ccccc1OC(F)(F)F', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ccccc1OC(F)(F)F', 'Nc1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999829530715942, 0.9999673962593079, 0.9998100996017456, 0.999714732170105, 0.9997122883796692, 0.9991365671157837, 0.9990347623825073, 0.9985942840576172, 0.9970507025718689, 0.9913983345031738]
+Cc1nnc(-c2ccccc2Nc2ncc(Br)cn2)[nH]1; [None]; [None]; [0]
+Brc1cnc(Nc2cnn(Cc3ccccc3)c2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Ic1cnn(Cc2ccccc2)c1', 'CS(=O)c1ncc(Br)cn1', 'Brc1cnn(Cc2ccccc2)c1']; ['Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1ncc(Br)cn1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1ncc(Br)cn1']; [0.9998465776443481, 0.9998021125793457, 0.9995559453964233, 0.9982991218566895, 0.995581865310669, 0.9903942346572876, 0.9873530864715576, 0.9750146269798279]
+O=C(Nc1cccc(Nc2ncc(Br)cn2)c1)c1ccccc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1']; [0.9999948740005493, 0.9999916553497314, 0.9999669790267944, 0.9999001622200012, 0.9991069436073303, 0.9966747760772705]
+COc1cnc(Nc2ncc(Br)cn2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'Brc1cnc(I)nc1', 'COc1cnc(N)nc1', 'Brc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['Nc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'COc1cnc(N)nc1', 'Fc1ncc(Br)cn1', 'COc1cnc(N)nc1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; [0.9949468374252319, 0.9949468374252319, 0.9834713935852051, 0.9489985704421997, 0.946324348449707, 0.946324348449707, 0.8025234937667847, 0.7811049222946167]
+CC(C)C(=O)CONc1ncc(Br)cn1; [None]; [None]; [0]
+OCCn1cc(Nc2ncc(Br)cn2)cn1; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'OCCn1cc(Br)cn1']; [0.9999821186065674, 0.9980340003967285, 0.9921813011169434, 0.9491846561431885]
+Clc1ccc(Cl)c(Nc2ncc(Br)cn2)c1; ['Fc1ncc(Br)cn1', 'Clc1ccc(Cl)c(I)c1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'Fc1cc(Cl)ccc1Cl', 'Clc1ncc(Br)cn1', 'Clc1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1cc(Cl)ccc1Cl', 'Nc1ncc(Br)cn1', 'Nc1cc(Cl)ccc1Cl', 'Nc1cc(Cl)ccc1Cl', 'Nc1ncc(Br)cn1', 'Nc1cc(Cl)ccc1Cl', 'Nc1ncc(Br)cn1', 'Nc1cc(Cl)ccc1Cl', 'Nc1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'Nc1cc(Cl)ccc1Cl']; [0.9998902082443237, 0.9998877048492432, 0.9997806549072266, 0.9987059831619263, 0.998044490814209, 0.997828483581543, 0.9951353073120117, 0.9930456876754761, 0.9917008876800537, 0.9653598666191101, 0.9545589685440063]
+CC(C)(C)c1nc(Nc2ncc(Br)cn2)cs1; [None]; [None]; [0]
+Cc1nc2ccccn2c1Nc1ncc(Br)cn1; ['Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1N', 'Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1', 'Cc1nc2ccccn2c1Br', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1N', 'Nc1ncc(Br)cn1', 'Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1N']; [0.9999435544013977, 0.9999167919158936, 0.9997446537017822, 0.9996509552001953, 0.9983078837394714, 0.9976769685745239, 0.9966970682144165, 0.9830892086029053]
+Cc1nc(C)c(Nc2ncc(Br)cn2)s1; [None]; [None]; [0]
+Cc1ccc(Nc2ncc(Br)cn2)c(Br)c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Brc1cnc(I)nc1', 'Cc1ccc(I)c(Br)c1', 'Brc1cnc(Br)nc1', 'Cc1ccc(F)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'CSc1ncc(Br)cn1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Cc1ccc(N)c(Br)c1', 'Nc1ncc(Br)cn1', 'Cc1ccc(N)c(Br)c1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Cc1ccc(N)c(Br)c1']; [0.9999940395355225, 0.9999765157699585, 0.9999622702598572, 0.9999448657035828, 0.999886155128479, 0.9996281266212463, 0.998860239982605, 0.9975811243057251]
+Brc1cnc(Nc2cnc3ccccn23)nc1; ['Clc1cnc2ccccn12', 'Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Brc1cnc2ccccn12', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1ncc(Br)cn1', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1ncc(Br)cn1', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12']; [0.999815821647644, 0.999779462814331, 0.9995628595352173, 0.9995614886283875, 0.9992883205413818, 0.9862596988677979, 0.9808391332626343, 0.9654364585876465, 0.9616696834564209]
+Brc1cnc(Nc2cnc(-c3ccccc3)[nH]2)nc1; [None]; [None]; [0]
+Brc1cnc(Nc2cnc3cccnn23)nc1; ['Clc1ncc(Br)cn1', 'Clc1cnc2cccnn12']; ['Nc1cnc2cccnn12', 'Nc1ncc(Br)cn1']; [0.9999969005584717, 0.9999760389328003]
+Brc1cnc(NNCc2cccnc2)nc1; [None]; [None]; [0]
+Clc1cccc(Cl)c1Nc1ncc(Br)cn1; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Cl', 'CS(=O)(=O)c1ncc(Br)cn1', 'Fc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1c(Cl)cccc1Cl', 'Nc1c(Cl)cccc1Cl', 'Nc1c(Cl)cccc1Cl', 'Nc1c(Cl)cccc1Cl', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1c(Cl)cccc1Cl', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999954104423523, 0.9999867677688599, 0.9999854564666748, 0.9999771118164062, 0.9999732971191406, 0.9999583959579468, 0.9999380707740784, 0.9998941421508789, 0.9997537732124329, 0.9993641376495361, 0.99860018491745]
+Brc1cnc(Nc2cccc(Cn3cncn3)c2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1']; [0.9999964237213135, 0.9999839067459106, 0.9999682307243347, 0.9999271035194397, 0.9994017481803894, 0.9980406761169434]
+CNc1nc(C)c(Nc2ncc(Br)cn2)s1; [None]; [None]; [0]
+Cc1ccc(Cl)c(Nc2ncc(Br)cn2)c1; ['Cc1ccc(Cl)c(I)c1', 'Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(F)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1cnc(Br)nc1', 'Cc1ccc(Cl)c(Br)c1', 'CSc1ncc(Br)cn1']; ['Nc1ncc(Br)cn1', 'Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(N)c1', 'Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Cc1ccc(Cl)c(N)c1', 'Nc1ncc(Br)cn1', 'Cc1ccc(Cl)c(N)c1']; [0.9996377229690552, 0.9987019300460815, 0.9915878772735596, 0.9912631511688232, 0.9885772466659546, 0.9882237911224365, 0.9863294959068298, 0.9743475914001465, 0.9672413468360901, 0.9482119083404541]
+Brc1cnc(Nc2cccc(Br)c2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Brc1cccc(I)c1', 'Brc1cnc(Br)nc1', 'Fc1cccc(Br)c1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cccc(Br)c1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Nc1ncc(Br)cn1', 'Nc1cccc(Br)c1', 'Nc1ncc(Br)cn1', 'Nc1cccc(Br)c1', 'Nc1ncc(Br)cn1', 'Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'O=CNc1cccc(Br)c1']; [0.9999790191650391, 0.9999457597732544, 0.9998927712440491, 0.9997571110725403, 0.9997336864471436, 0.9995037317276001, 0.9991735219955444, 0.998935341835022, 0.9986989498138428, 0.997025191783905, 0.9963814616203308, 0.9922722578048706]
+Brc1cnc(Nc2cnn3ncccc23)nc1; ['Brc1cnn2ncccc12']; ['Nc1ncc(Br)cn1']; [0.9044945240020752]
+Nc1nccc(Nc2ncc(Br)cn2)n1; ['Brc1cnc(I)nc1', 'Nc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1']; ['Nc1ccnc(N)n1', 'Nc1nccc(Cl)n1', 'Nc1ccnc(N)n1', 'Nc1ccnc(N)n1', 'Nc1nccc(Br)n1', 'Nc1ccnc(N)n1', 'Nc1ccnc(N)n1', 'Nc1ccnc(N)n1']; [0.998841404914856, 0.9988361597061157, 0.9987435340881348, 0.9910656809806824, 0.9601340293884277, 0.944642186164856, 0.9068000316619873, 0.8943694233894348]
+O=C(NNc1ncc(Br)cn1)c1cccs1; ['NNc1ncc(Br)cn1', 'NNc1ncc(Br)cn1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9998903870582581, 0.9926555156707764]
+O=c1c2c(F)cccc2cnn1Nc1ncc(Br)cn1; [None]; [None]; [0]
+Brc1cnc(Nc2ccc3ccccc3c2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Fc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1ccc2ccccc2c1']; ['Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'O=CNc1ccc2ccccc2c1', 'Nc1ncc(Br)cn1']; [0.9999884366989136, 0.9999715089797974, 0.9999538064002991, 0.9996298551559448, 0.9992495179176331, 0.9990887641906738, 0.9986830949783325, 0.9982079267501831, 0.998184084892273, 0.9967458248138428, 0.9933121800422668, 0.9552503228187561]
+FC(F)(F)c1n[nH]cc1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1']; ['Nc1c[nH]nc1C(F)(F)F']; [0.9999574422836304]
 Cc1c(Nc2ncc(Br)cn2)sc(=O)n1C; [None]; [None]; [0]
-Brc1cnc(Nc2cnn3ncccc23)nc1; [None]; [None]; [0]
+Brc1cnc(NNCCc2ccccc2)nc1; ['ClCCc1ccccc1']; ['NNc1ncc(Br)cn1']; [0.9360785484313965]
+NC(=O)c1c(F)cccc1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'NC(=O)c1c(F)cccc1Br']; ['NC(=O)c1c(N)cccc1F', 'NC(=O)c1c(N)cccc1F', 'NC(=O)c1c(N)cccc1F', 'NC(=O)c1c(N)cccc1F', 'Nc1ncc(Br)cn1']; [0.9998798370361328, 0.9997100830078125, 0.9950817823410034, 0.9833342432975769, 0.9789124131202698]
+Brc1cnc(Nn2cnc3ccccc32)nc1; [None]; [None]; [0]
+Cc1nc(N)sc1Nc1ncc(Br)cn1; [None]; [None]; [0]
+Brc1cnc(Nc2cncc3ccccc23)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Clc1cncc2ccccc12', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Fc1cncc2ccccc12', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Ic1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Nc1ncc(Br)cn1']; ['Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1ncc(Br)cn1', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1ncc(Br)cn1', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'OB(O)c1cncc2ccccc12']; [0.9999310970306396, 0.9997088313102722, 0.9996929168701172, 0.9994270205497742, 0.9993059039115906, 0.9991113543510437, 0.9953466653823853, 0.9951591491699219, 0.9944285154342651, 0.9935082197189331, 0.9789535999298096, 0.7985227108001709]
+Cn1cc(-c2ccc(Nc3ncc(Br)cn3)cc2)cn1; ['Clc1ncc(Br)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Cn1cc(-c2ccc(N)cc2)cn1', 'Fc1ncc(Br)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Nc1ncc(Br)cn1']; [0.9999983906745911, 0.999997079372406, 0.9999638795852661, 0.9998980760574341, 0.9998108148574829, 0.9997349977493286, 0.9996878504753113]
+Brc1cnc(NNCCc2c[nH]cn2)nc1; [None]; [None]; [0]
+Brc1cnc(NNc2cccnc2)nc1; [None]; [None]; [0]
+CCCn1cnc(Nc2ncc(Br)cn2)n1; ['CCCn1cnc(N)n1', 'CCCn1cnc(N)n1', 'CCCn1cnc(N)n1', 'CCCn1cnc(N)n1', 'Brc1cnc(Br)nc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CCCn1cnc(N)n1']; [0.998954176902771, 0.9951072931289673, 0.9860888719558716, 0.9824476838111877, 0.9809704422950745]
+O=C([O-])Cc1cccc(Nc2ncc(Br)cn2)c1; [None]; [None]; [0]
+Cn1ncc2cc(Nc3ncc(Br)cn3)ccc21; ['Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Brc1cnc(Br)nc1', 'Cn1ncc2cc(I)ccc21', 'CS(=O)(=O)c1ncc(Br)cn1', 'Cn1ncc2cc(F)ccc21', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Cn1ncc2cc(Br)ccc21']; ['Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Cn1ncc2cc(N)ccc21', 'Nc1ncc(Br)cn1', 'Cn1ncc2cc(N)ccc21', 'Nc1ncc(Br)cn1', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Nc1ncc(Br)cn1']; [0.9999951124191284, 0.9999943971633911, 0.9999831914901733, 0.9998865723609924, 0.9998852610588074, 0.9998693466186523, 0.9998090267181396, 0.9996476769447327, 0.9992133975028992, 0.9983378648757935, 0.9953270554542542]
+Nc1[nH]nc2cc(Nc3ncc(Br)cn3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['Nc1ncc(Br)cn1']; [0.9930697679519653]
+Brc1cnc(Nc2ccc(-c3cn[nH]c3)cc2)nc1; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ncc(Br)cn1']; [0.9999964833259583, 0.9999936819076538, 0.9998161792755127, 0.9994701147079468, 0.9993003606796265, 0.9941388368606567]
+Oc1cccc(Nc2ncc(Br)cn2)c1; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Oc1cccc(I)c1', 'Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9998619556427002, 0.999854326248169, 0.9989356994628906, 0.995384156703949, 0.9825624227523804, 0.9663074016571045]
+Brc1cnc(NNc2ccncc2)nc1; ['Clc1ccncc1']; ['NNc1ncc(Br)cn1']; [0.9595500826835632]
+Fc1ccccc1CNNc1ncc(Br)cn1; ['NNc1ncc(Br)cn1']; ['O=Cc1ccccc1F']; [0.9598925113677979]
+Brc1cnc(NCCc2c[nH]nn2)nc1; ['Clc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['NCCc1c[nH]nn1', 'NCCc1c[nH]nn1', 'NCCc1c[nH]nn1', 'NCCc1c[nH]nn1']; [0.9983357191085815, 0.9967900514602661, 0.970320999622345, 0.9572083950042725]
+CC(C)n1cc(Nc2ncc(Br)cn2)nn1; ['CC(C)n1cc(N)nn1', 'Brc1cnc(I)nc1', 'CC(C)n1cc(N)nn1', 'Brc1cnc(Br)nc1', 'CC(C)n1cc(N)nn1', 'CC(C)n1cc(N)nn1']; ['Clc1ncc(Br)cn1', 'CC(C)n1cc(N)nn1', 'Fc1ncc(Br)cn1', 'CC(C)n1cc(N)nn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; [0.9998822212219238, 0.9998165369033813, 0.9995900392532349, 0.999199390411377, 0.9987936019897461, 0.9966394901275635]
 CN1c2ccc(Nc3ncc(Br)cn3)cc2CS1(=O)=O; [None]; [None]; [0]
-CC(C)(C)c1cnc(CNc2ncc(Br)cn2)o1; [None]; [None]; [0]
+CSc1nc(Nc2ncc(Br)cn2)c[nH]1; [None]; [None]; [0]
+Brc1cnc(Nc2csc3ncncc23)nc1; ['Brc1csc2ncncc12']; ['Nc1ncc(Br)cn1']; [0.9919440150260925]
+OCc1cccc(Nc2ncc(Br)cn2)c1; ['Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'OCc1cccc(I)c1', 'Nc1cccc(CO)c1', 'OCc1cccc(B(O)O)c1']; [0.9997706413269043, 0.9995399117469788, 0.9938770532608032, 0.9778735637664795, 0.9741557836532593, 0.9736676216125488, 0.8809889554977417, 0.8467611074447632]
+Brc1cnc(Nc2cc3ccccc3[nH]2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Clc1cc2ccccc2[nH]1', 'Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; ['Nc1cc2ccccc2[nH]1', 'Nc1cc2ccccc2[nH]1', 'Nc1ncc(Br)cn1', 'Nc1cc2ccccc2[nH]1', 'Nc1cc2ccccc2[nH]1', 'Nc1cc2ccccc2[nH]1']; [0.9986108541488647, 0.9985256791114807, 0.9968079328536987, 0.9959607720375061, 0.9958134889602661, 0.995654821395874]
+CC(C)c1oncc1Nc1ncc(Br)cn1; [None]; [None]; [0]
 COc1cc(Nc2ncc(Br)cn2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(Nc2ncc(Br)cn2)nn1; [None]; [None]; [0]
-Brc1cnc(NCCc2c[nH]nn2)nc1; [None]; [None]; [0]
+Nc1nc(Nc2ncc(Br)cn2)cs1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1csc(N)n1', 'Nc1csc(N)n1', 'Nc1csc(N)n1']; [0.9999289512634277, 0.9981864094734192, 0.9957301616668701]
+NC(=O)CCCNc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['NCCCC(N)=O', 'NCCCC(N)=O', 'NCCCC(N)=O']; [0.9945789575576782, 0.9927310943603516, 0.9777735471725464]
+CCNc1nc2ccc(Nc3ncc(Br)cn3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(Nc2ncc(Br)cn2)cc1; ['CCC(=O)Nc1ccc(N)cc1', 'CCC(=O)Nc1ccc(N)cc1']; ['Clc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; [0.9995886087417603, 0.9802776575088501]
+Fc1ccc(Nc2ncc(Br)cn2)c(C(F)(F)F)c1; ['Clc1ncc(Br)cn1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(F)c(C(F)(F)F)c1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1ccc(F)cc1C(F)(F)F', 'Nc1ncc(Br)cn1', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'O=CNc1ccc(F)cc1C(F)(F)F', 'Nc1ccc(F)cc1C(F)(F)F']; [0.9999723434448242, 0.9999479651451111, 0.9998992681503296, 0.9996272325515747, 0.9992337822914124, 0.9982059001922607, 0.9978958368301392, 0.9881867170333862, 0.9528262615203857]
+N#CCCc1cccc(Nc2ncc(Br)cn2)c1; [None]; [None]; [0]
+Nc1ncncc1Nc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['Nc1cncnc1N', 'Nc1ncncc1I', 'Nc1cncnc1N', 'Nc1cncnc1N']; [0.9972182512283325, 0.9713089466094971, 0.8958753347396851, 0.8666691780090332]
+O=C(NNc1ncc(Br)cn1)c1c(Cl)cccc1Cl; ['NNc1ncc(Br)cn1', 'NNc1ncc(Br)cn1']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.9998753070831299, 0.9997665882110596]
+Clc1ccc(CNNc2ncc(Br)cn2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(Nc2ncc(Br)cn2)c1; ['CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'Brc1cnc(Br)nc1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CC(=O)Nc1cccc(N)c1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999881386756897, 0.9999533891677856, 0.999627947807312, 0.9995697736740112, 0.9985357522964478, 0.9972103834152222, 0.8839486837387085]
 CC(C)(O)CC(=O)NCCNc1ncc(Br)cn1; [None]; [None]; [0]
-O=C(NNc1ncc(Br)cn1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+COc1ccc(Nc2ncc(Br)cn2)cc1Cl; ['COc1ccc(N)cc1Cl', 'COc1ccc(F)cc1Cl', 'Brc1cnc(I)nc1', 'COc1ccc(I)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(N)cc1Cl', 'Brc1cnc(Br)nc1', 'COc1ccc(NC=O)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'COc1ccc(N)cc1Cl', 'Nc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'COc1ccc(N)cc1Cl', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999896883964539, 0.9999710321426392, 0.9999216794967651, 0.9998906850814819, 0.9998077750205994, 0.9997395873069763, 0.9995380640029907, 0.9994670152664185, 0.9984375238418579, 0.9978217482566833, 0.9978128671646118, 0.9972261786460876]
 CC(C)(CONc1ncc(Br)cn1)S(C)(=O)=O; [None]; [None]; [0]
-[NH3+]Cc1ccc(Nc2ncc(Br)cn2)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](ONc1ncc(Br)cn1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CCCn1cc(Nc2ncc(Br)cn2)cn1; ['CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(I)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(Br)cn1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999895095825195, 0.999958872795105, 0.9998999834060669, 0.9998979568481445, 0.9997404217720032, 0.9994552731513977, 0.998259425163269, 0.9960289001464844]
+Brc1cnc(Nc2cnn3ccccc23)nc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Ic1cnn2ccccc12', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Brc1cnn2ccccc12', 'CSc1ncc(Br)cn1']; ['Nc1cnn2ccccc12', 'Nc1cnn2ccccc12', 'Nc1ncc(Br)cn1', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12', 'Nc1ncc(Br)cn1', 'Nc1cnn2ccccc12']; [0.9999502897262573, 0.999750018119812, 0.9996887445449829, 0.9992923736572266, 0.9983544945716858, 0.9958082437515259, 0.9931443333625793, 0.9895563721656799, 0.9709931015968323]
+Cn1cc(Nc2ncc(Br)cn2)c2ccccc21; [None]; [None]; [0]
+CC(C)(N)c1ccc(Nc2ncc(Br)cn2)cc1; ['CC(C)(N)c1ccc(N)cc1', 'CC(C)(N)c1ccc(N)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9993289113044739, 0.9987540245056152, 0.9768489599227905]
+CS(=O)(=O)C1CCN(Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
+COc1cc(CCNc2ncc(Br)cn2)cc(OC)c1; ['COc1cc(CCN)cc(OC)c1', 'Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCO)cc(OC)c1']; ['Clc1ncc(Br)cn1', 'COc1cc(CCN)cc(OC)c1', 'COc1cc(CCN)cc(OC)c1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'O=c1ncc(Br)c[nH]1', 'Nc1ncc(Br)cn1']; [0.9994465112686157, 0.9943699836730957, 0.9859972596168518, 0.9857369661331177, 0.984860360622406, 0.9752664566040039, 0.9737725257873535, 0.9663534164428711]
+O=C1CCc2cccc(Nc3ncc(Br)cn3)c21; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1cccc2c1C(=O)CC2', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'O=C1CCc2cccc(Cl)c21', 'Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'Nc1ncc(Br)cn1', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(F)c21']; [0.999868631362915, 0.9995226263999939, 0.9991543292999268, 0.999142050743103, 0.9979590177536011, 0.9911677837371826, 0.9814618825912476, 0.9786696434020996, 0.9634003639221191, 0.9617652297019958, 0.9277357459068298]
+CCNS(=O)(=O)c1ccccc1Nc1ncc(Br)cn1; ['CCNS(=O)(=O)c1ccccc1N', 'CCNS(=O)(=O)c1ccccc1Br']; ['Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9669356346130371, 0.8825203776359558]
+Brc1cnc(NOc2ccccn2)nc1; [None]; [None]; [0]
+C[S@](=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CS(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Clc1ncc(Br)cn1', 'CS(=O)c1ccc(N)cc1']; [0.9992769956588745, 0.9942607879638672]
+CCN(CC)Nc1ncc(Br)cn1; [None]; [None]; [0]
+O=c1cc(Nc2ncc(Br)cn2)cc[nH]1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Nc1ncc(Br)cn1', 'Nc1cc[nH]c(=O)c1', 'CCSc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', None, 'Nc1ncc(Br)cn1']; ['Nc1cc[nH]c(=O)c1', 'Nc1cc[nH]c(=O)c1', 'Nc1cc[nH]c(=O)c1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(F)cc[nH]1', 'Nc1cc[nH]c(=O)c1', 'Nc1cc[nH]c(=O)c1', 'O=c1cc(Cl)cc[nH]1', 'Nc1ncc(Br)cn1', 'Nc1cc[nH]c(=O)c1', 'Nc1cc[nH]c(=O)c1', 'Nc1cc[nH]c(=O)c1', None, 'O=c1cc(Br)cc[nH]1']; [0.9999285936355591, 0.999914824962616, 0.9997990131378174, 0.9996509552001953, 0.9994621276855469, 0.998798668384552, 0.997550368309021, 0.9955519437789917, 0.9941246509552002, 0.9909572005271912, 0.9862270355224609, 0.9710714221000671, 0, 0.9175152778625488]
 O=c1[nH]cc(Br)c2sc(Nc3ncc(Br)cn3)cc12; [None]; [None]; [0]
+CC(C)Oc1cncc(Nc2ncc(Br)cn2)c1; ['CC(C)Oc1cncc(Br)c1']; ['Nc1ncc(Br)cn1']; [0.9657735824584961]
+C[C@@H](ONc1ncc(Br)cn1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+[NH3+]Cc1ccc(Nc2ncc(Br)cn2)cc1C(F)(F)F; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2ncc(Br)cn2)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'Brc1cnc(I)nc1', 'CC(C)(C)c1ccc(N)cc1', 'Brc1cnc(Br)nc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'Brc1cnc(Nc2ccccc2)nc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CC(C)(C)c1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CC(C)(C)c1ccc(N)cc1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CC(C)(C)O']; [0.9999843835830688, 0.9999831914901733, 0.9999538660049438, 0.9993571043014526, 0.9991602897644043, 0.9985677599906921, 0.9963526725769043, 0.994497537612915, 0.9898489713668823, 0.9163869023323059]
+COc1cccc(F)c1Nc1ncc(Br)cn1; ['COc1cccc(F)c1N', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'COc1cccc(F)c1N', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1NC=O', 'COc1cccc(F)c1F']; ['Clc1ncc(Br)cn1', 'COc1cccc(F)c1N', 'COc1cccc(F)c1N', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999927878379822, 0.999976634979248, 0.9999361038208008, 0.9998682737350464, 0.9996727705001831, 0.9980642795562744, 0.9855735301971436, 0.9846850633621216]
+Brc1cnc(Nc2c[nH]c3cnccc23)nc1; ['Ic1c[nH]c2cnccc12']; ['Nc1ncc(Br)cn1']; [0.9835289716720581]
+Brc1cnc(NNc2cnc3ccccc3c2)nc1; [None]; [None]; [0]
+Brc1cnc(Nc2cnc3[nH]ccc3c2)nc1; ['Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Ic1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999832510948181, 0.9999539852142334, 0.9999171495437622, 0.9997192621231079, 0.9993627071380615, 0.9967337846755981, 0.9953525066375732, 0.9921932220458984, 0.90282142162323]
 Brc1cnc(NNc2cnccc2-c2ccccc2)nc1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(Nc3ncc(Br)cn3)cc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.99996417760849, 0.9856300950050354, 0.9734848737716675]
+CC1(Nc2ncc(Br)cn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+COc1ccncc1NNc1ncc(Br)cn1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999949932098389, 0.9999680519104004, 0.9999610185623169, 0.99958735704422, 0.998042643070221, 0.9969444274902344]
+CNC(=O)c1c(F)cccc1Nc1ncc(Br)cn1; [None]; [None]; [0]
+Brc1cnc(Nc2ccc(N3CCOCC3)cc2)nc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Ic1ccc(N2CCOCC2)cc1', 'CS(=O)c1ncc(Br)cn1', 'Brc1ccc(N2CCOCC2)cc1']; ['Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ncc(Br)cn1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ncc(Br)cn1']; [0.9999966025352478, 0.9999883770942688, 0.9999734163284302, 0.9997804164886475, 0.9997277855873108, 0.9993648529052734, 0.9983530044555664, 0.998226523399353, 0.9965521097183228, 0.9928139448165894]
+CS(=O)(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(F)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999996542930603, 0.9999935030937195, 0.9999703168869019, 0.9998964071273804, 0.9994365572929382, 0.9991703033447266, 0.9987578988075256, 0.9987497329711914, 0.9958689212799072]
+Cc1cc(Nc2ncc(Br)cn2)n(-c2cccc(Cl)c2)n1; ['Cc1cc(N)n(-c2cccc(Cl)c2)n1']; ['Clc1ncc(Br)cn1']; [0.9916526079177856]
+Fc1cccc(Cl)c1Nc1ncc(Br)cn1; ['Fc1cccc(Cl)c1I', 'Brc1cnc(Br)nc1', 'Clc1ncc(Br)cn1', 'Fc1cccc(Cl)c1Cl', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1F', 'CSc1ncc(Br)cn1']; ['Nc1ncc(Br)cn1', 'Nc1c(F)cccc1Cl', 'Nc1c(F)cccc1Cl', 'Nc1ncc(Br)cn1', 'Nc1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1c(F)cccc1Cl']; [0.9999945759773254, 0.999990701675415, 0.9999877214431763, 0.9999408721923828, 0.9999274015426636, 0.9998995065689087, 0.9998658299446106, 0.9997842907905579, 0.9993733167648315]
 CN(Nc1ncc(Br)cn1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Brc1cnc(Nc2ccc(-n3cncn3)cc2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1']; [0.9999861717224121, 0.9999783039093018, 0.9999674558639526, 0.9996917247772217, 0.9994083046913147, 0.9972139596939087, 0.9942359924316406]
+OCCc1cn(Nc2ncc(Br)cn2)cn1; [None]; [None]; [0]
+C[C@@H](NNc1ncc(Br)cn1)C(C)(C)O; [None]; [None]; [0]
+OCc1ccn(Nc2ncc(Br)cn2)n1; [None]; [None]; [0]
+C[C@H](NNc1ncc(Br)cn1)C(C)(C)O; [None]; [None]; [0]
 C[C@H](NNc1ncc(Br)cn1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(Nc2ncc(Br)cn2)n1; [None]; [None]; [0]
+Brc1cnc(Nn2ncc3ccccc32)nc1; [None]; [None]; [0]
+COc1ccc(Nc2ncc(Br)cn2)c(OC)c1; ['COc1ccc(N)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(N)c(OC)c1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; [0.9998623132705688, 0.9997850656509399, 0.9997729063034058, 0.9995904564857483, 0.9967865943908691, 0.9954522848129272, 0.9952932000160217, 0.993465781211853]
+O=C(c1ccccc1)c1ccc(Nc2ncc(Br)cn2)cc1; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Nc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(F)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9998652338981628, 0.9998211860656738, 0.9997689723968506, 0.9973570108413696, 0.9969573020935059, 0.9965883493423462, 0.9935401678085327, 0.9876335263252258, 0.9618231058120728, 0.9185781478881836]
+Oc1cccc2c1cnn2Nc1ncc(Br)cn1; [None]; [None]; [0]
+CSc1nc(C)c(Nc2ncc(Br)cn2)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CC1; [None]; [None]; [0]
 Brc1cnc(NCc2nnc3ccc(-c4ccccc4)nn23)nc1; [None]; [None]; [0]
+CC(C)n1cnnc1Nc1ncc(Br)cn1; [None]; [None]; [0]
+Oc1ccc2nc(Nc3ncc(Br)cn3)[nH]c2c1; [None]; [None]; [0]
+O=C(CCNc1ncc(Br)cn1)NCc1ccccn1; [None]; [None]; [0]
+Nc1nnc(Nc2ncc(Br)cn2)s1; ['Clc1ncc(Br)cn1']; ['Nc1nnc(N)s1']; [0.9994722604751587]
+CCc1cc(Nc2ncc(Br)cn2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1', 'CCc1cc(N)nc(N)n1', 'CCc1cc(N)nc(N)n1', 'CCc1cc(N)nc(N)n1', 'CCc1cc(N)nc(N)n1', 'Brc1cnc(Br)nc1']; ['Nc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CCc1cc(N)nc(N)n1']; [0.9999030828475952, 0.9994165301322937, 0.996661365032196, 0.983188271522522, 0.9810230135917664, 0.9567334651947021]
+Brc1cnc(Nc2cn(Cc3ccccc3)nn2)nc1; [None]; [None]; [0]
+Brc1cnc(Nc2nncn2C2CC2)nc1; [None]; [None]; [0]
+CC(C)(O)c1cccc(Nc2ncc(Br)cn2)n1; ['CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1']; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9997309446334839, 0.9961479902267456]
+Brc1cnc(Nc2nc3ccccc3s2)nc1; ['Clc1ncc(Br)cn1', 'Brc1nc2ccccc2s1']; ['Nc1nc2ccccc2s1', 'Nc1ncc(Br)cn1']; [0.9999274015426636, 0.9998782873153687]
+[NH3+]CCn1ccc(Nc2ncc(Br)cn2)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1Nc1ncc(Br)cn1; [None]; [None]; [0]
+CC1(C)Oc2ccc(Nc3ncc(Br)cn3)nc2NC1=O; ['Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O']; ['CC1(C)Oc2ccc(N)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O', 'Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; [0.9999070167541504, 0.999136209487915, 0.9990577697753906, 0.9967160820960999, 0.9920457601547241]
+CCCCc1cc(Nc2ncc(Br)cn2)nc(N)n1; [None]; [None]; [0]
 O=S(=O)(CNc1ncc(Br)cn1)NCc1ccccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2ncc(Br)cn2)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(Nc2ncc(Br)cn2)CC1; ['CCNC(=O)N1CCC(N)CC1', 'CCNC(=O)N1CCC(N)CC1']; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; [0.9999488592147827, 0.9992817044258118]
+Brc1cnc(Nc2cccc3ccsc23)nc1; ['Brc1cccc2ccsc12']; ['Nc1ncc(Br)cn1']; [0.9266772866249084]
+Brc1cnc(Nc2cccc3nnsc23)nc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CCSc1ncc(Br)cn1', 'Brc1cccc2nnsc12']; ['Nc1cccc2nnsc12', 'Nc1cccc2nnsc12', 'Nc1cccc2nnsc12', 'Nc1cccc2nnsc12', 'Nc1cccc2nnsc12', 'Nc1ncc(Br)cn1']; [0.999968945980072, 0.9992920160293579, 0.9981931447982788, 0.992942214012146, 0.9822202920913696, 0.9742699861526489]
+Nc1cncc(Nc2ncc(Br)cn2)n1; ['Clc1ncc(Br)cn1', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1']; ['Nc1cncc(N)n1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9966590404510498, 0.9910258054733276, 0.7670160531997681]
+Brc1cnc(Nc2ncc3ccccc3n2)nc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Clc1ncc2ccccc2n1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'FC(F)(F)COc1ncc(Br)cn1', 'Brc1ncc2ccccc2n1']; ['Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc(Br)cn1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc(Br)cn1']; [0.9997673034667969, 0.9995355606079102, 0.9990432262420654, 0.9986541867256165, 0.9972156286239624, 0.9969087243080139, 0.9894921779632568, 0.9636622667312622, 0.8942388892173767]
+Nc1nc(Nc2ncc(Br)cn2)nc2ccccc12; ['Clc1ncc(Br)cn1', 'Nc1nc(Cl)nc2ccccc12', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['Nc1nc(N)c2ccccc2n1', 'Nc1ncc(Br)cn1', 'Nc1nc(N)c2ccccc2n1', 'Nc1nc(N)c2ccccc2n1']; [0.9980950355529785, 0.9940586686134338, 0.9595890045166016, 0.7779533863067627]
+Brc1cnc(Nc2ncc3cc[nH]c3n2)nc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Clc1ncc2cc[nH]c2n1', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1ncc2cc[nH]c2n1', 'Nc1ncc2cc[nH]c2n1', 'Nc1ncc2cc[nH]c2n1', 'Nc1ncc(Br)cn1', 'Nc1ncc2cc[nH]c2n1', 'Nc1ncc2cc[nH]c2n1', 'Nc1ncc2cc[nH]c2n1']; [0.9999582171440125, 0.9998807907104492, 0.9998489618301392, 0.9995030164718628, 0.9993788599967957, 0.996208906173706, 0.9920057058334351]
 [NH3+]Cc1ccc(ONc2ncc(Br)cn2)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(Nc3ncc(Br)cn3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(Nc3ncc(Br)cn3)c2)cc1; [None]; [None]; [0]
-Brc1cnc(Nc2cccc3nnsc23)nc1; [None]; [None]; [0]
-COc1ccc(ONc2ncc(Br)cn2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(Nc2ncc(Br)cn2)n1; [None]; [None]; [0]
+Brc1cnc(Nc2c[nH]c3cccnc23)nc1; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Brc1c[nH]c2cccnc12']; ['Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12', 'Nc1ncc(Br)cn1']; [0.9998162388801575, 0.9997238516807556, 0.9985568523406982, 0.9974064826965332, 0.9921998381614685, 0.9890707731246948, 0.9707101583480835]
+COc1ccc(C#N)cc1Nc1ncc(Br)cn1; ['COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'COc1ccc(C#N)cc1F', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1Br']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999955296516418, 0.999994158744812, 0.9999851584434509, 0.9999843835830688, 0.9999603033065796, 0.9999457597732544, 0.9998981952667236, 0.999260425567627, 0.9950725436210632]
+OCCn1cnc(Nc2ncc(Br)cn2)c1; [None]; [None]; [0]
+COc1ncccc1Nc1ncc(Br)cn1; ['COc1ncccc1N', 'Brc1cnc(I)nc1', 'COc1ncccc1N', 'COc1ncccc1I', 'COc1ncccc1N', 'Brc1cnc(Br)nc1', 'COc1ncccc1N', 'COc1ncccc1F', 'COc1ncccc1Br']; ['Clc1ncc(Br)cn1', 'COc1ncccc1N', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'COc1ncccc1N', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999146461486816, 0.9996604919433594, 0.9990395307540894, 0.9984508752822876, 0.9978631138801575, 0.9953408241271973, 0.9946418404579163, 0.9868290424346924, 0.978262186050415]
+COc1ccc(OC)c(Nc2ncc(Br)cn2)c1; ['COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(F)c1', 'Brc1cnc(I)nc1', 'COc1ccc(OC)c(N)c1', 'Brc1cnc(Br)nc1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(Br)c1']; ['Nc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'COc1ccc(OC)c(N)c1', 'CS(=O)(=O)c1ncc(Br)cn1', 'COc1ccc(OC)c(N)c1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9997313618659973, 0.9995772838592529, 0.9992474913597107, 0.998621940612793, 0.9980841875076294, 0.9952100515365601, 0.9849967956542969, 0.9726802110671997, 0.9288725852966309]
+C[C@@]1(O)CC[C@H](Nc2ncc(Br)cn2)CC1; ['C[C@]1(O)CC[C@@H](N)CC1', 'Brc1cnc(I)nc1', 'C[C@]1(O)CC[C@@H](N)CC1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1']; ['Clc1ncc(Br)cn1', 'C[C@]1(O)CC[C@@H](N)CC1', 'Fc1ncc(Br)cn1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1']; [0.9999977350234985, 0.999997615814209, 0.9999881982803345, 0.9999699592590332, 0.9999687671661377, 0.9999614953994751, 0.9997771978378296]
+CN(C)S(=O)(=O)c1cccc(Nc2ncc(Br)cn2)c1; ['CN(C)S(=O)(=O)c1cccc(N)c1', 'Brc1cnc(I)nc1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'Brc1cnc(Br)nc1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Clc1ncc(Br)cn1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CSc1ncc(Br)cn1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999895095825195, 0.9999706745147705, 0.9997745752334595, 0.9996230602264404, 0.9995510578155518, 0.9991147518157959, 0.9907180070877075]
+CC(=O)Nc1ncc(Nc2ncc(Br)cn2)[nH]1; [None]; [None]; [0]
+CN(C)c1cc(Nc2ncc(Br)cn2)cnn1; [None]; [None]; [0]
 O=C(Nc1cccc(Nc2ncc(Br)cn2)c1)C1CCNCC1; [None]; [None]; [0]
+CCOc1ccc(Nc2ncc(Br)cn2)cc1; ['CCOc1ccc(N)cc1', 'CCOc1ccc(N)cc1', 'Brc1cnc(I)nc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(F)cc1', 'CCOc1ccc(I)cc1', 'Brc1cnc(Br)nc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(Br)cc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CCOc1ccc(N)cc1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CCOc1ccc(N)cc1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999575018882751, 0.9999326467514038, 0.9997549653053284, 0.9978793859481812, 0.9974896907806396, 0.9972010850906372, 0.9968781471252441, 0.9959380626678467, 0.9944485425949097, 0.9892553091049194, 0.9829108715057373]
+COc1ccc(ONc2ncc(Br)cn2)c(F)c1F; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(Nc2ncc(Br)cn2)cc1; ['CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'Brc1cnc(I)nc1', 'CC(=O)N(C)c1ccc(N)cc1', 'Brc1cnc(Br)nc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CC(=O)N(C)c1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CC(=O)N(C)c1ccc(N)cc1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999632835388184, 0.9999086856842041, 0.9998048543930054, 0.998881459236145, 0.9986367225646973, 0.9959008097648621, 0.9917901158332825, 0.9732301831245422]
+CS(=O)(=O)c1cccc(Nc2ncc(Br)cn2)c1; ['CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(F)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999921321868896, 0.9999591708183289, 0.999883770942688, 0.9996514916419983, 0.9991493225097656, 0.9989029765129089, 0.9986907243728638, 0.9963153600692749, 0.9703506231307983]
 Cc1nc(C(C)(C)O)sc1Nc1ncc(Br)cn1; [None]; [None]; [0]
+Brc1cnc(NN2CCC(c3nc4ccccc4[nH]3)CC2)nc1; [None]; [None]; [0]
+COc1ccc(Nc2ncc(Br)cn2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(I)cc1', 'COc1ccc(F)cc1', 'COc1ccc(N)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(NC=O)cc1', 'COc1ccc(B(O)O)cc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999677538871765, 0.9999403357505798, 0.9997255802154541, 0.998390257358551, 0.9979580640792847, 0.9974483847618103, 0.996169924736023, 0.993537187576294, 0.9918138980865479, 0.9857096672058105, 0.9841090440750122, 0.9777034521102905]
+O=C(Nc1cccc(Nc2ncc(Br)cn2)c1)C1CC1; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.9999961853027344, 0.9999581575393677, 0.9996247291564941, 0.9845044612884521]
+Brc1cnc(NN2CC=C(c3c[nH]c4ccccc34)CC2)nc1; [None]; [None]; [0]
+O=C([O-])c1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['Nc1ccc(C(=O)[O-])cc1', 'Nc1ccc(C(=O)[O-])cc1']; [0.9968888759613037, 0.7634415030479431]
+COc1cc(Nc2ncc(Br)cn2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'Brc1cnc(I)nc1', 'COc1cc(N)cc(OC)c1OC', 'Brc1cnc(Br)nc1', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Clc1ncc(Br)cn1', 'COc1cc(N)cc(OC)c1OC', 'Fc1ncc(Br)cn1', 'COc1cc(N)cc(OC)c1OC', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999976634979248, 0.9999143481254578, 0.9998631477355957, 0.999805212020874, 0.9997493624687195, 0.9996971487998962, 0.9996950626373291, 0.9995691776275635, 0.997104287147522, 0.9958135485649109]
+N#Cc1ccc(O)c(Nc2ncc(Br)cn2)c1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(F)c1', 'N#Cc1ccc(O)c(Br)c1', 'CSc1ncc(Br)cn1']; ['N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'N#Cc1ccc(O)c(N)c1']; [0.9998672008514404, 0.9996047019958496, 0.9989334940910339, 0.9982125759124756, 0.9971805810928345, 0.9970343112945557, 0.9769247770309448, 0.9703478813171387]
+Brc1cnc(Nc2nc3ccccc3[nH]2)nc1; ['Fc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Ic1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'CSc1ncc(Br)cn1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1nc2ccccc2[nH]1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999390840530396, 0.9999333620071411, 0.999886155128479, 0.9997328519821167, 0.998986542224884, 0.9989066123962402, 0.9987038373947144, 0.9984667301177979, 0.9983104467391968, 0.9982723593711853, 0.996471643447876, 0.992936372756958]
+Brc1cnc(Nc2nccc3ccccc23)nc1; ['Fc1ncc(Br)cn1', 'Clc1nccc2ccccc12', 'Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Brc1nccc2ccccc12', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1nccc2ccccc12', 'Nc1ncc(Br)cn1', 'Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Nc1ncc(Br)cn1', 'Nc1nccc2ccccc12', 'Nc1nccc2ccccc12']; [0.9999818801879883, 0.9999687075614929, 0.9999467134475708, 0.9999377727508545, 0.9994575381278992, 0.9988310933113098, 0.9979453086853027, 0.9798246026039124]
+NC(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'NC(=O)c1ccc(I)cc1', 'CSc1ncc(Br)cn1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(F)cc1']; ['NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'Nc1ncc(Br)cn1', 'NC(=O)c1ccc(N)cc1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999489784240723, 0.9999016523361206, 0.997668981552124, 0.9974831342697144, 0.9948481321334839, 0.988229513168335, 0.969582200050354, 0.9694567918777466]
+Brc1cnc(NNc2ncccn2)nc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(Nc2ncc(Br)cn2)cc1; ['CC(=O)NCc1ccc(N)cc1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CC(=O)NCc1ccc(N)cc1']; ['Clc1ncc(Br)cn1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1']; [0.9999639987945557, 0.9997228384017944, 0.9989457130432129, 0.9985100030899048]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3ncc(Br)cn3)cc2)CC1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(Nc3ncc(Br)cn3)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(Nc2ncc(Br)cn2)nc(N)n1; [None]; [None]; [0]
+O=C(c1ccc(Nc2ncc(Br)cn2)nc1)N1CCOCC1; ['Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1ccc(C(=O)N2CCOCC2)cn1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999939203262329, 0.9999936819076538]
+O=C(c1ccc(Nc2ncc(Br)cn2)cc1)N1CCOCC1; ['Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1']; [0.9999978542327881, 0.9999971985816956, 0.99996018409729, 0.9998614192008972, 0.9997817277908325, 0.9988223314285278, 0.9987854957580566, 0.9890992641448975]
+Cc1ccc2ncn(Nc3ncc(Br)cn3)c2c1; [None]; [None]; [0]
+Brc1cnc(Nc2cccc(C3CCNCC3)c2)nc1; ['CC(C)(C)OC(=O)N1CCC(c2cccc(N)c2)CC1', 'Clc1ncc(Br)cn1', 'Brc1cccc(C2CCNCC2)c1']; ['Clc1ncc(Br)cn1', 'Nc1cccc(C2CCNCC2)c1', 'Nc1ncc(Br)cn1']; [1.0, 0.999992847442627, 0.9827694296836853]
+O=C(Nc1ccccc1)c1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.9999573230743408, 0.9999276399612427, 0.9998093843460083, 0.9996140003204346, 0.9985584616661072, 0.9955214262008667, 0.9836143255233765]
+OCCOc1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'FC(F)(F)COc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'OCCOc1ccc(Br)cc1']; [0.9999227523803711, 0.9997742176055908, 0.9948318600654602, 0.9933410882949829, 0.9912780523300171, 0.9173076152801514, 0.890114963054657]
+C[C@H](O)COc1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(Nc3ncc(Br)cn3)cc2C1; ['Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Nc1ccc2c(c1)CS(=O)(=O)C2']; [0.9999662637710571, 0.9999262094497681, 0.9998726844787598, 0.9992808103561401, 0.9965901374816895, 0.9902600049972534, 0.9695380926132202, 0.9395433664321899]
+FC(F)(F)c1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'FC(F)(F)c1ccc(I)cc1', 'Brc1cnc(Br)nc1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'FC(F)(F)c1ccc(Br)cc1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; ['Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ncc(Br)cn1', 'Nc1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ncc(Br)cn1', 'Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1']; [0.999963641166687, 0.999934732913971, 0.9998589754104614, 0.9994996190071106, 0.99944007396698, 0.9989631175994873, 0.9988681077957153, 0.9979312419891357, 0.9963092803955078, 0.995076596736908]
+Oc1ccccc1CNc1ncc(Br)cn1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'O=Cc1ccccc1O', 'NCc1ccccc1O']; [0.9981081485748291, 0.9975589513778687, 0.9933769106864929, 0.9747704267501831, 0.9725532531738281, 0.96923828125, 0.8847627639770508]
+N#Cc1cccc(Cn2cc(Nc3ncc(Br)cn3)cn2)c1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2ncc(Br)cn2)cc1; ['CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(F)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999687075614929, 0.999936044216156, 0.9998988509178162, 0.9989451766014099, 0.9988832473754883, 0.9971058964729309, 0.9968692064285278, 0.9918087720870972, 0.9877086877822876, 0.9825038909912109, 0.9732509851455688]
+CS(=O)(=O)N1CCC(Nc2ncc(Br)cn2)CC1; ['CS(=O)(=O)N1CCC(N)CC1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(=O)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CCSc1ncc(Br)cn1', 'COc1ncc(Br)cn1']; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1']; [0.9999951720237732, 0.9999829530715942, 0.9998955726623535, 0.9997687935829163, 0.9997682571411133, 0.9997671246528625, 0.9996777176856995, 0.9985981583595276, 0.9967321157455444]
+CCNS(=O)(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'Brc1cnc(Nc2ccccc2)nc1']; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CCN']; [0.9999114274978638, 0.9918726682662964, 0.9901461601257324, 0.9676087498664856]
+CN(C)S(=O)(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc(I)nc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'Brc1cnc(Br)nc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(F)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CSc1ncc(Br)cn1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999600648880005, 0.9998548030853271, 0.9995437860488892, 0.9995421767234802, 0.9993706941604614, 0.9981569051742554, 0.9977306127548218, 0.9968928098678589, 0.9968901872634888, 0.996216893196106, 0.9953752756118774]
+CC(C)c1cc(Nc2ncc(Br)cn2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Nc1ncc(Br)cn1']; [0.9998224973678589]
+Nc1ncc(CNc2ncc(Br)cn2)cn1; [None]; [None]; [0]
+CCCOc1ccc(Nc2ncc(Br)cn2)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1ncc(Br)cn1']; [0.997032642364502]
+Brc1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Brc1ccc(I)cc1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1ccc(Br)cc1', 'Nc1ncc(Br)cn1', 'Fc1ccc(Br)cc1']; ['Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Nc1ncc(Br)cn1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'O=CNc1ccc(Br)cc1', 'Nc1ncc(Br)cn1', 'OB(O)c1ccc(Br)cc1', 'Nc1ncc(Br)cn1']; [0.9999630451202393, 0.9999405145645142, 0.9998149871826172, 0.9987856149673462, 0.9984503388404846, 0.9947774410247803, 0.9943974018096924, 0.9941009283065796, 0.9887238144874573, 0.9838714599609375, 0.9831534028053284, 0.9683653116226196]
+COc1ccc(CNc2ncc(Br)cn2)cc1; ['COc1ccc(CN)cc1', 'Brc1cnc(Br)nc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'Brc1cnc(I)nc1', 'COc1ccc(CBr)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', None, 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1']; ['Clc1ncc(Br)cn1', 'COc1ccc(CN)cc1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'COc1ccc(CN)cc1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'O=c1ncc(Br)c[nH]1', None, 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9987980127334595, 0.9979557991027832, 0.9973001480102539, 0.9964427947998047, 0.995231032371521, 0.9934792518615723, 0.9933834075927734, 0.987967848777771, 0.9855607748031616, 0, 0.9831565022468567, 0.9487505555152893]
+CCN(CC)C(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'Brc1cnc(I)nc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'Brc1cnc(Br)nc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'Nc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999943733215332, 0.9998770952224731, 0.9996994733810425, 0.9992876052856445, 0.9992402791976929, 0.9991800785064697, 0.9982908368110657, 0.9941524863243103]
+Brc1cnc(Nc2ccn3nccc3n2)nc1; ['Clc1ncc(Br)cn1', 'Clc1ccn2nccc2n1', 'Brc1ccn2nccc2n1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1ccn2nccc2n1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ccn2nccc2n1']; [0.999998927116394, 0.9999904632568359, 0.9997678995132446, 0.9996522665023804]
+CN(C)c1ccc(Nc2ncc(Br)cn2)cc1Cl; ['Brc1cnc(I)nc1', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(F)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'Brc1cnc(Br)nc1', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['CN(C)c1ccc(N)cc1Cl', 'Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CN(C)c1ccc(N)cc1Cl', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9995605945587158, 0.9983807802200317, 0.9971194267272949, 0.9960165619850159, 0.9939950704574585, 0.9925857782363892, 0.984095573425293, 0.9792245626449585, 0.8913088440895081]
+Brc1cnc(Nc2c[nH]c3ccccc23)nc1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1c[nH]c2ccccc12']; [0.9995391964912415, 0.9989676475524902, 0.9972147941589355, 0.9923165440559387, 0.9905364513397217, 0.9284409284591675, 0.8967148065567017]
+O=C(c1ccccc1)N1CC[C@H](Nc2ncc(Br)cn2)C1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2ncc(Br)cn2)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1ncc(Br)cn1']; [0.9981732368469238]
+COc1ccc(Cl)cc1Nc1ncc(Br)cn1; ['COc1ccc(Cl)cc1N', 'Brc1cnc(I)nc1', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1F', 'COc1ccc(Cl)cc1N', 'Brc1cnc(Br)nc1', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1N']; ['Fc1ncc(Br)cn1', 'COc1ccc(Cl)cc1N', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'COc1ccc(Cl)cc1N', 'Clc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; [0.9999229907989502, 0.9995567798614502, 0.9995207190513611, 0.9994388818740845, 0.9990462064743042, 0.9986844062805176, 0.9979296922683716, 0.9940077066421509, 0.9805953502655029, 0.968245267868042]
+COc1cc(OC)c(Nc2ncc(Br)cn2)cc1Cl; ['Brc1cnc(I)nc1', 'COc1cc(OC)c(Cl)cc1N', 'Brc1cnc(Br)nc1', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Br)cc1Cl']; ['COc1cc(OC)c(Cl)cc1N', 'Fc1ncc(Br)cn1', 'COc1cc(OC)c(Cl)cc1N', 'Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9990984201431274, 0.9983350038528442, 0.9924193620681763, 0.9808675646781921, 0.9807625412940979, 0.9536311626434326, 0.7711922526359558]
 CC(=O)N1CCCN(c2cccc(Nc3ncc(Br)cn3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2ncc(Br)cn2)nc1; [None]; [None]; [0]
+Brc1cnc(Nc2ccc3c(c2)CCO3)nc1; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'Ic1ccc2c(c1)CCO2', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Brc1ccc2c(c1)CCO2']; ['Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ncc(Br)cn1', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Nc1ncc(Br)cn1']; [0.999921977519989, 0.9998971223831177, 0.9997947216033936, 0.9977705478668213, 0.9957919716835022, 0.9956552982330322, 0.992270827293396, 0.9836786985397339]
+Brc1cnc(Nc2ccccc2-n2cccn2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Clc1ccccc1-n1cccn1', 'Brc1cnc(Br)nc1', 'Fc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ncc(Br)cn1', 'Nc1ccccc1-n1cccn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1']; [0.9999804496765137, 0.9999780654907227, 0.9999666213989258, 0.999840259552002, 0.9994559288024902, 0.9992623329162598, 0.9991593956947327, 0.997992217540741, 0.9930180311203003, 0.9889746904373169]
+Cc1c(Nc2ncc(Br)cn2)cccc1C(=O)[O-]; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1Nc1ncc(Br)cn1; ['Brc1cnc(I)nc1', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N']; ['COc1cc(C(=O)N2CCOCC2)ccc1N', 'Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; [0.9999878406524658, 0.9999779462814331, 0.999510645866394]
+Brc1cnc(Nc2cccc3c2OCO3)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Ic1cccc2c1OCO2', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cccc2c1OCO2', 'CS(=O)c1ncc(Br)cn1']; ['Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1ncc(Br)cn1', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1ncc(Br)cn1', 'Nc1cccc2c1OCO2']; [0.9998759627342224, 0.9998173713684082, 0.9994964599609375, 0.998652994632721, 0.9974183440208435, 0.996084451675415, 0.9870458841323853, 0.9814058542251587]
+COc1cc(Nc2ncc(Br)cn2)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(I)ccc1O', 'Brc1cnc(Br)nc1', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'COc1cc(N)ccc1O', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999885082244873, 0.9998029470443726, 0.9988171458244324, 0.9988131523132324, 0.9987579584121704, 0.9980918169021606, 0.9964123368263245, 0.987329363822937]
+Brc1cnc(Nc2cc(-c3ccccc3)[nH]n2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1']; ['Nc1cc(-c2ccccc2)[nH]n1', 'Nc1cc(-c2ccccc2)[nH]n1', 'Nc1cc(-c2ccccc2)[nH]n1']; [0.999787449836731, 0.998559832572937, 0.9937466979026794]
+Brc1cnc(Nc2cnc3ccccc3c2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Ic1cnc2ccccc2c1', 'Fc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999939799308777, 0.9999925494194031, 0.9999838471412659, 0.9999568462371826, 0.999772310256958, 0.9996617436408997, 0.9986924529075623, 0.9972522258758545, 0.9970470070838928, 0.9953268766403198, 0.9470954537391663]
+Fc1ccc2nc(CNc3ncc(Br)cn3)[nH]c2c1F; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2ncc(Br)cn2)cn1; ['CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'Brc1cnc(I)nc1', 'CC(C)(C)c1ccc(N)cn1', 'Brc1cnc(Br)nc1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999505281448364, 0.9999476671218872, 0.9998259544372559, 0.999516487121582, 0.9993427991867065, 0.995992124080658, 0.9955278635025024]
+Fc1ccc2[nH]c(CNc3ncc(Br)cn3)nc2c1F; [None]; [None]; [0]
+Brc1cnc(NCc2nc3ccccc3[nH]2)nc1; ['Clc1ncc(Br)cn1', 'ClCc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['NCc1nc2ccccc2[nH]1', 'Nc1ncc(Br)cn1', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'O=Cc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1']; [0.9967713356018066, 0.993896484375, 0.9905247688293457, 0.9893567562103271, 0.9774816632270813, 0.971419632434845, 0.9121308326721191]
+CN(C)C(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'Brc1cnc(I)nc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'Brc1cnc(Br)nc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1']; ['Clc1ncc(Br)cn1', 'CN(C)C(=O)c1ccc(N)cc1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CN(C)C(=O)c1ccc(N)cc1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999415278434753, 0.9997105598449707, 0.9997023344039917, 0.9988731145858765, 0.9981838464736938, 0.9979472756385803, 0.99489426612854, 0.9814780950546265, 0.9095235466957092]
+Brc1cnc(NCCCc2ccccc2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1', 'ClCCCc1ccccc1', 'NCCCc1ccccc1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'Nc1ncc(Br)cn1', 'O=c1ncc(Br)c[nH]1', 'OCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'O=CCCc1ccccc1', 'NCCCc1ccccc1']; [0.9997650384902954, 0.9993953108787537, 0.997275173664093, 0.996433675289154, 0.9886853098869324, 0.9869967103004456, 0.9853051900863647, 0.9827960729598999, 0.9757388830184937, 0.972774088382721]
+Cc1ccc(Nc2ncc(Br)cn2)c(=O)[nH]1; ['Cc1ccc(N)c(=O)[nH]1', 'Cc1ccc(N)c(=O)[nH]1', 'Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1', 'Cc1ccc(I)c(=O)[nH]1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Cc1ccc(N)c(=O)[nH]1', 'Cc1ccc(N)c(=O)[nH]1', 'Nc1ncc(Br)cn1', 'Cc1ccc(N)c(=O)[nH]1']; [0.9973345994949341, 0.9972538352012634, 0.9909862279891968, 0.9473636150360107, 0.9307206869125366, 0.9245538115501404]
+COc1cccc(C(=O)NNc2ncc(Br)cn2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COc1cccc(C(=O)NN)c1']; ['NNc1ncc(Br)cn1', 'NNc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; [0.9999966025352478, 0.9999558329582214, 0.9045252799987793]
+Brc1cnc(Nc2cc3ccccc3s2)nc1; ['Clc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Fc1ncc(Br)cn1']; ['Nc1cc2ccccc2s1', 'Nc1cc2ccccc2s1', 'Nc1cc2ccccc2s1']; [0.9979730844497681, 0.9930483102798462, 0.9875273704528809]
+CSc1ccc(Nc2ncc(Br)cn2)cc1; ['CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ccc(I)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(Br)cc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999701976776123, 0.9999548196792603, 0.9998868107795715, 0.9982457160949707, 0.9972410202026367, 0.9965717792510986, 0.9918399453163147, 0.990713357925415, 0.9697605967521667]
+CC[C@@H](CO)Nc1ncc(Br)cn1; ['CC[C@H](N)CO', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO']; ['Clc1ncc(Br)cn1', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; [0.999233603477478, 0.9975953102111816, 0.9957828521728516, 0.9891557693481445, 0.977370023727417, 0.8183953762054443]
+Clc1cccc(-n2ccc(Nc3ncc(Br)cn3)n2)c1; [None]; [None]; [0]
 CC(C)c1ccc2nc(Nc3ncc(Br)cn3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-Nc1cc(Nc2ncc(Br)cn2)c2cc[nH]c2n1; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)Nc1ncc(Br)cn1; ['Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1']; [0.9992562532424927, 0.9987583756446838, 0.9984228610992432, 0.9945917129516602, 0.9481620788574219]
+Brc1cnc(Nc2ncc(Br)cn2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'Fc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9980932474136353, 0.992794394493103, 0.9648534059524536, 0.9219497442245483, 0.8070656061172485]
+Cc1cc(Nc2ncc(Br)cn2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1', 'Cc1cc(N)nc(N)n1', 'Cc1cc(Br)nc(N)n1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Cc1cc(N)nc(N)n1', 'Brc1cnc(Br)nc1']; ['Nc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Cc1cc(N)nc(N)n1', 'Cc1cc(N)nc(N)n1', 'Fc1ncc(Br)cn1', 'Cc1cc(N)nc(N)n1']; [0.9998781681060791, 0.9985705614089966, 0.9895163178443909, 0.9608407020568848, 0.9587420225143433, 0.9552845358848572, 0.8439788222312927]
+Fc1ccc(Nc2ncc(Br)cn2)c(Cl)c1; ['Fc1ccc(I)c(Cl)c1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Fc1ccc(F)c(Cl)c1', 'CSc1ncc(Br)cn1']; ['Nc1ncc(Br)cn1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Nc1ncc(Br)cn1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Nc1ncc(Br)cn1', 'Nc1ccc(F)cc1Cl']; [0.9999580979347229, 0.9999544620513916, 0.9999455213546753, 0.9995805621147156, 0.9995791912078857, 0.9993491172790527, 0.9983747005462646, 0.9734617471694946]
+O=C1CCc2cc(Nc3ncc(Br)cn3)ccc2N1; ['Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(F)ccc2N1', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(I)ccc2N1', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999741315841675, 0.9999656677246094, 0.9999594688415527, 0.9999216794967651, 0.9997016787528992, 0.9995704889297485, 0.9991970658302307, 0.9986554980278015, 0.9982081651687622, 0.9927629232406616]
+COc1ccc(Nc2ncc(Br)cn2)cc1OC; ['COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(F)cc1OC', 'Brc1cnc(I)nc1', 'COc1ccc(N)cc1OC', 'Brc1cnc(Br)nc1', 'COc1ccc(I)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(Br)cc1OC']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'COc1ccc(N)cc1OC', 'CSc1ncc(Br)cn1', 'COc1ccc(N)cc1OC', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999976634979248, 0.9999735355377197, 0.9999392032623291, 0.9999034404754639, 0.9998893737792969, 0.9997533559799194, 0.9997040033340454, 0.9996985197067261, 0.9988361597061157, 0.9986510276794434]
+CCN1CCN(Cc2ccc(Nc3ncc(Br)cn3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1', 'Brc1cnc(I)nc1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'Brc1cnc(Br)nc1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Clc1ncc(Br)cn1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9997069835662842, 0.9988499283790588, 0.9973323941230774, 0.9934359788894653, 0.9726349115371704, 0.9071540832519531, 0.8774929046630859]
+CCc1ccc(Nc2ncc(Br)cn2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CCc1ccc(N)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(F)cc1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999865293502808, 0.9999371767044067, 0.9998804330825806, 0.9991171360015869, 0.9989646673202515, 0.9986621141433716, 0.9985880851745605, 0.9936447143554688, 0.9909306168556213, 0.9888873100280762, 0.988278865814209]
+Brc1cnc(NCCCn2cncn2)nc1; ['Brc1cnc(Br)nc1', 'Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1']; [0.999306321144104, 0.9993048310279846, 0.9964988231658936, 0.9947471618652344, 0.9839802980422974, 0.9776699542999268]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
+Clc1ccc(Nc2ncc(Br)cn2)c(Cl)c1; ['Fc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Clc1ccc(I)c(Cl)c1', 'Brc1cnc(Br)nc1', 'Fc1ccc(Cl)cc1Cl', 'Clc1ncc(Br)cn1', 'Clc1ccc(Br)c(Cl)c1', 'Nc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; ['Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'Nc1ncc(Br)cn1', 'Nc1ccc(Cl)cc1Cl', 'Nc1ncc(Br)cn1', 'Nc1ccc(Cl)cc1Cl', 'Nc1ncc(Br)cn1', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'O=CNc1ccc(Cl)cc1Cl']; [0.9999340772628784, 0.999893069267273, 0.9998431205749512, 0.9997086524963379, 0.9993138313293457, 0.9989999532699585, 0.9986732006072998, 0.9980309009552002, 0.9973974227905273, 0.9970982074737549, 0.9825748205184937, 0.9398840665817261]
+Brc1cnc(Nc2cc3ccccn3n2)nc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Clc1cc2ccccn2n1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1', 'Brc1cc2ccccn2n1']; ['Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Nc1ncc(Br)cn1', 'Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Nc1ncc(Br)cn1']; [0.9999940395355225, 0.9999431371688843, 0.9997924566268921, 0.999728798866272, 0.9993730187416077, 0.9989192485809326, 0.998395562171936]
+Brc1cnc(Nc2scc3c2OCCO3)nc1; [None]; [None]; [0]
+Brc1cnc(Nc2ncc3cccn3n2)nc1; ['Clc1ncc2cccn2n1']; ['Nc1ncc(Br)cn1']; [0.9986714720726013]
+Cn1cc(Nc2ncc(Br)cn2)c(C(F)(F)F)n1; ['Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Brc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'CSc1ncc(Br)cn1']; ['Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Nc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Nc1ncc(Br)cn1', 'Cn1cc(N)c(C(F)(F)F)n1']; [0.9999837875366211, 0.9999734163284302, 0.9999459981918335, 0.9999264478683472, 0.9998685121536255, 0.9996336698532104, 0.998324990272522, 0.997808575630188, 0.9949644804000854]
+COc1cc(Nc2ncc(Br)cn2)ccc1N1CCOCC1; ['COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'Brc1cnc(I)nc1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'Brc1cnc(Br)nc1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'COc1cc(N)ccc1N1CCOCC1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'COc1cc(N)ccc1N1CCOCC1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999982714653015, 0.9999977350234985, 0.9999963045120239, 0.9999918937683105, 0.9999842643737793, 0.9999768733978271, 0.9996614456176758, 0.9988662004470825]
+Oc1ccc2cccc(Nc3ncc(Br)cn3)c2c1; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12', 'Oc1ccc2cccc(Br)c2c1']; [0.9992432594299316, 0.9986094236373901, 0.9523448944091797]
+Cc1csc2c(Nc3ncc(Br)cn3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1ncc(Br)cn1']; [0.9997644424438477]
+COc1ccc2cccc(Nc3ncc(Br)cn3)c2c1; ['COc1ccc2cccc(N)c2c1', 'Brc1cnc(I)nc1', 'COc1ccc2cccc(N)c2c1', 'Brc1cnc(Br)nc1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(Br)c2c1']; ['Clc1ncc(Br)cn1', 'COc1ccc2cccc(N)c2c1', 'Fc1ncc(Br)cn1', 'COc1ccc2cccc(N)c2c1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9998619556427002, 0.9996393918991089, 0.9995708465576172, 0.999206006526947, 0.9991103410720825, 0.992525577545166, 0.9558200836181641, 0.9292146563529968]
+COc1cc(Nc2ncc(Br)cn2)ccc1Cl; ['COc1cc(N)ccc1Cl', 'Brc1cnc(I)nc1', 'COc1cc(F)ccc1Cl', 'COc1cc(I)ccc1Cl', 'Brc1cnc(Br)nc1', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Fc1ncc(Br)cn1', 'COc1cc(N)ccc1Cl', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'COc1cc(N)ccc1Cl', 'Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.999997079372406, 0.9999914169311523, 0.9999879598617554, 0.9999840259552002, 0.999981164932251, 0.9999560117721558, 0.9999525547027588, 0.9999112486839294, 0.9996088743209839, 0.999422550201416]
+COc1cc(F)c(Nc2ncc(Br)cn2)cc1OC; ['COc1cc(N)c(F)cc1OC', 'Brc1cnc(Br)nc1', 'COc1cc(F)c(F)cc1OC', 'Brc1cnc(I)nc1', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(N)c(F)cc1OC']; ['Clc1ncc(Br)cn1', 'COc1cc(N)c(F)cc1OC', 'Nc1ncc(Br)cn1', 'COc1cc(N)c(F)cc1OC', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Fc1ncc(Br)cn1']; [0.9999433159828186, 0.9993816614151001, 0.9991635084152222, 0.9987910389900208, 0.9983174800872803, 0.9961485862731934, 0.9842539429664612]
+Clc1cnc(Nc2ncc(Br)cn2)nc1; ['Brc1cnc(I)nc1', 'Clc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Clc1cnc(Cl)nc1', 'Brc1cnc(Br)nc1', 'Clc1cnc(Br)nc1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Cl)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Cl)cn1']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Br)cn1']; [0.9963802695274353, 0.9963802695274353, 0.9808260202407837, 0.9565047025680542, 0.9565047025680542, 0.9423792362213135, 0.9423792362213135, 0.9005728960037231, 0.9005728960037231, 0.866849422454834, 0.866849422454834]
+CNC(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CNC(=O)c1ccc(N)cc1', 'Brc1cnc(I)nc1', 'CNC(=O)c1ccc(N)cc1', 'Brc1cnc(Br)nc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(F)cc1', 'CNC(=O)c1ccc(Cl)cc1']; ['Clc1ncc(Br)cn1', 'CNC(=O)c1ccc(N)cc1', 'Fc1ncc(Br)cn1', 'CNC(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999496936798096, 0.999829888343811, 0.9997632503509521, 0.9989384412765503, 0.9984045028686523, 0.9979449510574341, 0.9959915280342102, 0.9930647611618042, 0.9899418354034424, 0.9370571970939636, 0.865164577960968]
+CCNC(=O)c1ccc(Nc2ncc(Br)cn2)nc1; ['CCNC(=O)c1ccc(Cl)nc1', 'CCNC(=O)c1ccc(Br)nc1']; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9973528385162354, 0.9945801496505737]
+COc1cc(Nc2ncc(Br)cn2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br']; ['Nc1ncc(Br)cn1']; [0.9994895458221436]
+Nc1cc(Nc2ncc(Br)cn2)c2cc[nH]c2n1; ['Nc1cc(Br)c2cc[nH]c2n1']; ['Nc1ncc(Br)cn1']; [0.9677048921585083]
+CCNC(=O)N1CCC(Nc2ncc(Br)cn2)CC1; ['CCNC(=O)N1CCC(N)CC1', 'CCNC(=O)N1CCC(N)CC1']; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; [0.9999488592147827, 0.9992817044258118]
+COc1ccc(OC)c(CNc2ncc(Br)cn2)c1; ['COc1ccc(OC)c(CN)c1', 'Brc1cnc(Br)nc1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(C=O)c1', 'Brc1cnc(I)nc1', 'COc1ccc(OC)c(CO)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CBr)c1', 'COc1ccc(OC)c(CN)c1']; ['Clc1ncc(Br)cn1', 'COc1ccc(OC)c(CN)c1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'COc1ccc(OC)c(CN)c1', 'Nc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'O=c1ncc(Br)c[nH]1']; [0.9997287392616272, 0.9990938901901245, 0.9990670680999756, 0.9983241558074951, 0.9975954294204712, 0.996359646320343, 0.9962005615234375, 0.9922695159912109, 0.9880536794662476, 0.9772929549217224]
+CC1(C)Cc2cc(Nc3ncc(Br)cn3)ccc2O1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](Nc2ncc(Br)cn2)CC1; ['Brc1cnc(I)nc1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'Brc1cnc(Br)nc1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1']; ['CO[C@H]1CC[C@H](N)CC1', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CO[C@H]1CC[C@H](N)CC1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; [0.9999873638153076, 0.9999825358390808, 0.9999188184738159, 0.9998705983161926, 0.999819278717041, 0.9997121095657349, 0.998993992805481]
 COc1cc(CS(C)(=O)=O)ccc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(Nc2ncc(Br)cn2)c1; [None]; [None]; [0]
+COc1ccc2oc(Nc3ncc(Br)cn3)cc2c1; [None]; [None]; [0]
+COc1cc(Nc2ncc(Br)cn2)cc(OC)c1; ['COc1cc(N)cc(OC)c1', 'Brc1cnc(I)nc1', 'COc1cc(N)cc(OC)c1', 'COc1cc(F)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'Brc1cnc(Br)nc1', 'COc1cc(I)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; ['Clc1ncc(Br)cn1', 'COc1cc(N)cc(OC)c1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'COc1cc(N)cc(OC)c1', 'Nc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999513030052185, 0.9999329447746277, 0.999907374382019, 0.9995181560516357, 0.9994606375694275, 0.9990909099578857, 0.9976401329040527, 0.9920254349708557, 0.9909974336624146, 0.9867036938667297, 0.9823931455612183]
+CNC(=O)c1ccc(OC)c(Nc2ncc(Br)cn2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'Brc1cnc(I)nc1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['Clc1ncc(Br)cn1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9993869066238403, 0.9927664995193481, 0.9774140119552612, 0.8600371479988098]
+Brc1cnc(Nc2ccc3cn[nH]c3c2)nc1; ['CC(C)(C)OC(=O)n1ncc2ccc(N)cc21', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Ic1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1']; ['Clc1ncc(Br)cn1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999998807907104, 0.999970555305481, 0.9999700784683228, 0.9997164011001587, 0.9996244311332703, 0.9993312358856201, 0.9989208579063416, 0.9981104135513306, 0.9961929321289062, 0.987862229347229]
 COc1ccc2c(c1)c(Nc1ncc(Br)cn1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NNc2ncc(Br)cn2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(Nc3ncc(Br)cn3)[nH]c2c1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(Nc3ncc(Br)cn3)cn2)CC1; [None]; [None]; [0]
+Brc1cnc(Nc2ncc3sccc3n2)nc1; ['Clc1ncc2sccc2n1']; ['Nc1ncc(Br)cn1']; [0.9992040991783142]
+O=C(Nc1cn[nH]c1)c1cccc(Nc2ncc(Br)cn2)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1Nc1ncc(Br)cn1; ['CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br']; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9988620281219482, 0.9978095293045044]
+Brc1cnc(Nc2cc3ccccc3o2)nc1; [None]; [None]; [0]
+Brc1cnc(Nc2cc(-c3cccnc3)ccn2)nc1; ['Clc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1']; [0.9999477863311768, 0.9996323585510254, 0.997564435005188]
+O=C(Nc1cccc(Nc2ncc(Br)cn2)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)NNc2ncc(Br)cn2)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['NNc1ncc(Br)cn1']; [0.9998838901519775]
+Cn1cc(Br)cc1Nc1ncc(Br)cn1; [None]; [None]; [0]
+COc1ccc2nc(Nc3ncc(Br)cn3)[nH]c2c1; ['COc1ccc2nc(Cl)[nH]c2c1']; ['Nc1ncc(Br)cn1']; [0.9943132400512695]
+CCc1cccc(Nc2ncc(Br)cn2)n1; ['Brc1cnc(I)nc1', 'CCc1cccc(N)n1', 'CCc1cccc(N)n1', 'Brc1cnc(Br)nc1', 'CCc1cccc(Br)n1', 'CCc1cccc(N)n1', 'CCc1cccc(N)n1']; ['CCc1cccc(N)n1', 'Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CCc1cccc(N)n1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; [0.9999514818191528, 0.9997918605804443, 0.9995326995849609, 0.996679961681366, 0.9919619560241699, 0.9917649030685425, 0.975522518157959]
+FC(F)(F)Oc1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'Fc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'FC(F)(F)Oc1ccc(I)cc1', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'FC(F)(F)Oc1ccc(Br)cc1', 'Fc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)COc1ncc(Br)cn1']; ['Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ncc(Br)cn1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ccc(OC(F)(F)F)cc1']; [0.9999943971633911, 0.9999750852584839, 0.9999647736549377, 0.999931812286377, 0.9997838735580444, 0.9996848106384277, 0.9995386600494385, 0.99952232837677, 0.999343752861023, 0.9985355138778687, 0.9963904619216919, 0.9941843748092651]
+C[NH+](C)Cc1ccc(Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
 Brc1cnc(Nc2ncn3c2CCCC3)nc1; [None]; [None]; [0]
-O=C(NNc1ncc(Br)cn1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cc1n[nH]c2cc(Nc3ncc(Br)cn3)ccc12; ['Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Cc1n[nH]c2cc(Br)ccc12']; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Nc1ncc(Br)cn1']; [0.9999973773956299, 0.9999960064888, 0.9998359680175781, 0.9995939135551453, 0.9995045065879822, 0.9987987875938416]
+CN(C)c1ccc(Nc2ncc(Br)cn2)cn1; ['Brc1cnc(I)nc1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'Brc1cnc(Br)nc1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(Br)cn1']; ['CN(C)c1ccc(N)cn1', 'Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CN(C)c1ccc(N)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9993675351142883, 0.9991339445114136, 0.9981565475463867, 0.9979021549224854, 0.9939137697219849, 0.9894750118255615, 0.9806615114212036, 0.9769407510757446, 0.9659558534622192]
+Cn1nc(Cl)c2cc(Nc3ncc(Br)cn3)ccc21; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(Nc3ncc(Br)cn3)cn2)CC1; [None]; [None]; [0]
+O=C(NNc1ncc(Br)cn1)c1cccc(OC(F)(F)F)c1; ['NNc1ncc(Br)cn1', 'NNc1ncc(Br)cn1', 'CSc1ncc(Br)cn1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'NNC(=O)c1cccc(OC(F)(F)F)c1']; [0.9999997615814209, 0.9999980926513672, 0.9971082210540771]
+Cc1cc(Nc2ncc(Br)cn2)cc(C)c1OCCO; [None]; [None]; [0]
+OCCc1ccc(Nc2ncc(Br)cn2)cc1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'CSc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'Nc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(I)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(Br)cc1']; [0.9999685287475586, 0.9998331069946289, 0.9992009401321411, 0.9986362457275391, 0.9973858594894409, 0.9969061017036438, 0.9854999780654907, 0.9853640198707581]
+O=C1CCCN1c1cccc(Nc2ncc(Br)cn2)c1; ['Clc1ncc(Br)cn1', 'Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999691843986511, 0.9998806715011597, 0.9984112977981567, 0.9982371926307678, 0.9971882700920105, 0.9864938259124756, 0.9069480895996094]
+CN(C)C(=O)c1ccc(Nc2ncc(Br)cn2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1Nc1ncc(Br)cn1; ['COc1cc(N2CCN(C(=O)OC(C)(C)C)CC2)ccc1N']; ['Clc1ncc(Br)cn1']; [0.9999979734420776]
 Cc1ncc(-c2ccc(Nc3ncc(Br)cn3)cc2)n1C; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2ncc(Br)cn2)c(OC)c1; ['CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'Brc1cnc(I)nc1', 'CNC(=O)c1ccc(N)c(OC)c1', 'Brc1cnc(Br)nc1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['Clc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CNC(=O)c1ccc(N)c(OC)c1', 'Nc1ncc(Br)cn1']; [0.9983773231506348, 0.9972143173217773, 0.9970637559890747, 0.9830317497253418, 0.974686861038208, 0.9439109563827515]
+CCNC(=O)c1ccc(Nc2ncc(Br)cn2)cc1; ['CCNC(=O)c1ccc(N)cc1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['Clc1ncc(Br)cn1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9998847246170044, 0.9994205236434937, 0.9993067979812622, 0.9979907274246216, 0.9933157563209534, 0.9868723154067993]
+CN(C)C(=O)c1ccc(Nc2ncc(Br)cn2)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9990525245666504, 0.9929061532020569]
+CC(C)(O)c1ccc2cc(Nc3ncc(Br)cn3)[nH]c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(Nc2ncc(Br)cn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Cl)c1']; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.99288010597229, 0.9207754135131836]
+CCNC(=O)Cc1ccc(Nc2ncc(Br)cn2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1ncc(Br)cn1']; [0.9971135258674622]
+COc1cc(S(C)(=O)=O)ccc1Nc1ncc(Br)cn1; ['COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N', 'Brc1cnc(Br)nc1', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1N']; ['Fc1ncc(Br)cn1', 'Clc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'COc1cc(S(C)(=O)=O)ccc1N', 'Nc1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1']; [0.9999973177909851, 0.9999964237213135, 0.9999814033508301, 0.9999749660491943, 0.9997992515563965, 0.9997968673706055]
+Cc1cc(N2CCOCC2)ccc1Nc1ncc(Br)cn1; ['Cc1cc(N2CCOCC2)ccc1N', 'Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; ['Clc1ncc(Br)cn1', 'Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N']; [0.9999991655349731, 0.9999622106552124, 0.9999591112136841, 0.9998650550842285, 0.9994471073150635, 0.9993293285369873]
+CNC(=O)c1ccc(C)c(Nc2ncc(Br)cn2)c1; ['CNC(=O)c1ccc(C)c(N)c1', 'Brc1cnc(Br)nc1', 'Brc1cnc(I)nc1', 'CNC(=O)c1ccc(C)c(N)c1']; ['Clc1ncc(Br)cn1', 'CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1', 'CS(=O)(=O)c1ncc(Br)cn1']; [0.9995415806770325, 0.9953186511993408, 0.9924637079238892, 0.9749703407287598]
 COc1cc(-c2cnn(C)c2)ccc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1ncc(Br)cn1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-n2ncc3cccc(F)c3c2=O)n1; [None]; [None]; [0]
 Cn1nc(Nc2ncc(Br)cn2)cc1C(C)(C)O; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cnn3ncccc23)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(Cc2ncc(C(C)(C)C)o2)n1; [None]; [None]; [0]
+COC(C)(C)CCc1ccnc(NC(C)=O)n1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1Nc1ncc(Br)cn1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)Nc1ncc(Br)cn1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(C(F)(F)F)c2)n1; ['CC(=O)Cl', 'CC(=O)OC(C)=O', None]; ['Nc1nccc(-c2cccc(C(F)(F)F)c2)n1', 'Nc1nccc(-c2cccc(C(F)(F)F)c2)n1', None]; [0.999322772026062, 0.9988579154014587, 0]
+CC(=O)Nc1nccc(-c2ccccc2-c2nnc(C)[nH]2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(Cc2cc(F)cc(F)c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccccc2S(=O)(=O)C(C)C)n1; [None]; [None]; [0]
+CCn1cc(-c2ccnc(NC(C)=O)n2)cn1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccccc2C(=O)[O-])n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccccc2P(C)(C)=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccccc2OC(F)(F)F)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccccc2C(N)=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnn(Cc3ccccc3)c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccnc3ccccc23)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnn(CCO)c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cc(Cl)ccc2Cl)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc3ncn(C)c(=O)c3c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-n2ncc3cccc(F)c3c2=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2csc(C(C)(C)C)n2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(OCC(=O)C(C)C)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(NC(=O)c3ccccc3)c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(C)cc2Br)n1; [None]; [None]; [0]
+COc1cnc(-c2ccnc(NC(C)=O)n2)nc1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(Br)c2)n1; ['CC(=O)Cl', 'CC(=O)OC(C)=O', None]; ['Nc1nccc(-c2cccc(Br)c2)n1', 'Nc1nccc(-c2cccc(Br)c2)n1', None]; [0.9991868138313293, 0.9984700679779053, 0]
+CC(=O)Nc1nccc(-c2c(C)nc3ccccn23)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2sc(C)nc2C)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2sc(N)nc2C)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(NCc2cccnc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cc(C)ccc2Cl)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc3ccccc3c2)n1; ['CC(=O)Cl', 'CC(=O)OC(C)=O']; ['Nc1nccc(-c2ccc3ccccc3c2)n1', 'Nc1nccc(-c2ccc3ccccc3c2)n1']; [0.9880730509757996, 0.9862591028213501]
+CNc1nc(C)c(-c2ccnc(NC(C)=O)n2)s1; [None]; [None]; [0]
 CC(=O)Nc1nccc(-c2sc(=O)n(C)c2C)n1; [None]; [None]; [0]
-COc1cc(-c2ccnc(NC(C)=O)n2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(=O)Nc1nccc(NCCc2c[nH]cn2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(NC(=O)c2cccs2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(Nc2cccnc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-n2cnc3ccccc32)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnn3ncccc23)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(NCCc2ccccc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2c[nH]nc2C(F)(F)F)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(F)c2C(N)=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cncc3ccccc23)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(-c3cnn(C)c3)cc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(NCc2ccc(Cl)cc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc3c(N)[nH]nc3c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc3c(cnn3C)c2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccnc(NC(C)=O)n2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(-c3cn[nH]c3)cc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(O)c2)n1; [None]; [None]; [0]
 CC(=O)Nc1nccc(-c2ccc3c(c2)CS(=O)(=O)N3C)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(Nc2ccncc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(NCc2ccccc2F)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(CO)c2)n1; [None]; [None]; [0]
 CC(=O)Nc1nccc(-c2cn(C(C)C)nn2)n1; [None]; [None]; [0]
+COc1cc(-c2ccnc(NC(C)=O)n2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2csc3ncncc23)n1; [None]; [None]; [0]
+CSc1nc(-c2ccnc(NC(C)=O)n2)c[nH]1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnoc2C(C)C)n1; [None]; [None]; [0]
 CC(=O)Nc1nccc(CCc2c[nH]nn2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(CCNC(=O)CC(C)(C)O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(CCC#N)c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2csc(N)n2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cc3ccccc3[nH]2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(F)cc2C(F)(F)F)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(Oc2ccccn2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cncnc2N)n1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccnc(NC(C)=O)n2)cc1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cn(C)c3ccccc23)n1; ['CC(N)=O']; ['Cn1cc(-c2ccnc(Cl)n2)c2ccccc21']; [0.9985566139221191]
 CC(=O)Nc1nccc(NC(=O)c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccnc(NC(C)=O)n3)cc2s1; [None]; [None]; [0]
+CC(=O)Nc1nccc(CCCC(N)=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(N2CCC(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccnc(NC(C)=O)n2)c1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
 CC(=O)Nc1nccc(OCC(C)(C)S(C)(=O)=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(CCNC(=O)CC(C)(C)O)n1; [None]; [None]; [0]
+COc1ccc(-c2ccnc(NC(C)=O)n2)cc1Cl; [None]; [None]; [0]
 CC(=O)Nc1nccc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)n1; [None]; [None]; [0]
+CCCn1cc(-c2ccnc(NC(C)=O)n2)cn1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(C(C)(C)N)cc2)n1; [None]; [None]; [0]
 CC(=O)Nc1nccc(O[C@H](C)c2c(Cl)cncc2Cl)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc([S@](C)=O)cc2)n1; [None]; [None]; [0]
+CCN(CC)c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cc[nH]c(=O)c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc3c2C(=O)CC3)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cncc(OC(C)C)c2)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(C(C)(C)C)cc2)n1; [None]; [None]; [0]
+COc1ccncc1Nc1ccnc(NC(C)=O)n1; [None]; [None]; [0]
+COc1cc(CCc2ccnc(NC(C)=O)n2)cc(OC)c1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cc3c(=O)[nH]ccc3o2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(Nc2cnc3ccccc3c2)n1; [None]; [None]; [0]
 CC(=O)Nc1nccc(-c2cc3c(=O)[nH]cc(Br)c3s2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)n1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
 CC(=O)Nc1nccc(Nc2cnccc2-c2ccccc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(C2(C)CCN(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccnc(NC(C)=O)n2)cc1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(S(C)(=O)=O)cc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(N[C@H](C)C(C)(C)O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(N[C@@H](C)C(C)(C)O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cc(C)nn2-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2c(F)cccc2Cl)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-n2ccc(CO)n2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(-n3cncn3)cc2)n1; ['CC(=O)Cl', 'CC(=O)OC(C)=O', 'CC(=O)O', None]; ['Nc1nccc(-c2ccc(-n3cncn3)cc2)n1', 'Nc1nccc(-c2ccc(-n3cncn3)cc2)n1', 'Nc1nccc(-c2ccc(-n3cncn3)cc2)n1', None]; [0.9997854232788086, 0.999386191368103, 0.9984222054481506, 0]
 CC(=O)Nc1nccc(N[C@@H](C)C(=O)NCC(F)(F)F)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccn(CC[NH3+])n2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-n2ncc3ccccc32)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-n2cnc(CCO)c2)n1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccnc(NC(C)=O)n2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ccnc(NC(C)=O)n2)c(OC)c1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc(C(=O)c3ccccc3)cc2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-n2ncc3c(O)cccc32)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2nncn2C(C)C)n1; [None]; [None]; [0]
 CC(=O)Nc1nccc(Cc2nnc3ccc(-c4ccccc4)nn23)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc([C@@H]2CC[C@@H](NC(C)=O)CC2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccn(CC[NH3+])n2)n1; [None]; [None]; [0]
 CC(=O)Nc1nccc(CS(=O)(=O)NCc2ccccn2)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cc(C(N)=O)cn2C)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(CCC(=O)NCc2ccccn2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
+CCc1cc(-c2ccnc(NC(C)=O)n2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccnc(NC(C)=O)n2)nc(N)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2nnc(N)s2)n1; [None]; [None]; [0]
 CC(=O)Nc1nccc(Oc2ccc(C[NH3+])cc2F)n1; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cc(C(N)=O)cn2C)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccnc(NC(C)=O)n2)s1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(C(C)(C)O)n2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccnc(NC(C)=O)n2)CC1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccnc(NC(C)=O)n3)c2)cc1; [None]; [None]; [0]
 CC(=O)Nc1nccc(-c2cccc3nnsc23)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cncc(N)n2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnc(NC(C)=O)[nH]2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
 COc1ccc(Oc2ccnc(NC(C)=O)n2)c(F)c1F; [None]; [None]; [0]
-CC(=O)Nc1nccc(-c2cccc(C(C)(C)O)n2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cn(CCO)cn2)n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccnc(NC(C)=O)n2)c1; [None]; [None]; [0]
+CC(=O)Nc1nccc([C@H]2CC[C@@](C)(O)CC2)n1; [None]; [None]; [0]
+COc1ncccc1-c1ccnc(NC(C)=O)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cccc(S(=O)(=O)N(C)C)c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(-c2cnnc(N(C)C)c2)n1; [None]; [None]; [0]
+CC(=O)Nc1nccc(N2CC=C(c3c[nH]c4ccccc34)CC2)n1; [None]; [None]; [0]
+COc1cc[nH]c1C=Cc1c[nH]c2ccccc12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; [0.9908338785171509, 0.9582844972610474]
+COc1cc(O)cc(C=Cc2[nH]ccc2OC)c1; [None]; [None]; [0]
+Clc1cc(Nc2ncc3ccccc3n2)n2nccc2n1; ['Clc1ncc2ccccc2n1', 'Clc1cc(Cl)n2nccc2n1']; ['Nc1cc(Cl)nc2ccnn12', 'Nc1ncc2ccccc2n1']; [0.9999392032623291, 0.9971565008163452]
 CC(=O)Nc1nccc(-c2cccc(NC(=O)C3CCNCC3)c2)n1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+COc1cc(C=Cc2[nH]ccc2OC)cc(OC)c1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Nc2cc(Cl)nc3ccnn23)c1; ['CS(=O)(=O)c1cccc(N)c1']; ['Clc1cc(Cl)n2nccc2n1']; [0.9912950992584229]
+COc1cc(C=Cc2[nH]ccc2OC)ccc1O; [None]; [None]; [0]
+Clc1cc(Nc2cnc3cccnn23)n2nccc2n1; ['Clc1cc(Cl)n2nccc2n1', 'Clc1cnc2cccnn12']; ['Nc1cnc2cccnn12', 'Nc1cc(Cl)nc2ccnn12']; [0.9995127320289612, 0.9989581108093262]
+COc1cc[nH]c1C=Cc1cc(O)cc(O)c1; [None]; [None]; [0]
+COc1cc[nH]c1C=C1C(=O)Nc2ccccc21; [None]; [None]; [0]
+Oc1cccc(Nc2cc(Cl)nc3ccnn23)c1; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; ['Oc1cccc(I)c1', 'Nc1cccc(O)c1']; [0.9994717836380005, 0.936015248298645]
+N#Cc1ccc(O)c(Nc2cc(Cl)nc3ccnn23)c1; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1', 'Clc1cc(Cl)n2nccc2n1', 'N#Cc1ccc(O)c(Cl)c1']; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'N#Cc1ccc(O)c(N)c1', 'Nc1cc(Cl)nc2ccnn12']; [0.9999181628227234, 0.9994256496429443, 0.9990248680114746, 0.9966684579849243, 0.9893786311149597]
+Clc1cc(Nc2ccc(N3CCOCC3)cc2)n2nccc2n1; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1', 'Brc1ccc(N2CCOCC2)cc1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1cc(Cl)nc2ccnn12']; [0.9999992847442627, 0.9999622106552124, 0.9999172687530518]
+Cc1ccc2ncn(Nc3cc(Cl)nc4ccnn34)c2c1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2cc(Cl)nc3ccnn23)c1)C1CC1; [None]; [None]; [0]
+Clc1cc(Nc2nc3ccccc3[nH]2)n2nccc2n1; [None]; [None]; [0]
 CCOc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-Clc1cc(Nc2ncc3ccccc3n2)n2nccc2n1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
+Clc1cc(Nc2nccc3ccccc23)n2nccc2n1; ['Clc1cc(Cl)n2nccc2n1', 'Clc1nccc2ccccc12']; ['Nc1nccc2ccccc12', 'Nc1cc(Cl)nc2ccnn12']; [0.9907358288764954, 0.9892457723617554]
+O=C([O-])c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['Clc1cc(Cl)n2nccc2n1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.9421203136444092]
+NC(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['NC(=O)c1ccc(Br)cc1', 'Clc1cc(Cl)n2nccc2n1']; ['Nc1cc(Cl)nc2ccnn12', 'NC(=O)c1ccc(N)cc1']; [0.9944121837615967, 0.9928171634674072]
 COc1ncccc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(Nc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['Clc1cc(Cl)n2nccc2n1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.9913010597229004]
 COc1cc(Nc2cc(Cl)nc3ccnn23)cc(OC)c1OC; [None]; [None]; [0]
-Clc1cc(Nc2cnc3cccnn23)n2nccc2n1; [None]; [None]; [0]
-Oc1cccc(Nc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(Nc3cc(Cl)nc4ccnn34)cn2)c1; [None]; [None]; [0]
+OCCOc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; ['OCCOc1ccc(Br)cc1', 'Nc1ccc(OCCO)cc1']; [0.9979150295257568, 0.9961448907852173]
 COc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-Clc1cc(Nc2ccc(N3CCOCC3)cc2)n2nccc2n1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2cc(Cl)nc3ccnn23)c1)C1CC1; [None]; [None]; [0]
-Clc1cc(Nc2nc3ccccc3[nH]2)n2nccc2n1; [None]; [None]; [0]
+O=C(c1ccc(Nc2cc(Cl)nc3ccnn23)cc1)N1CCOCC1; ['Clc1cc(Cl)n2nccc2n1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1']; [0.9999328851699829]
+CC(=O)NCc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['CC(=O)NCc1ccc(N)cc1']; ['Clc1cc(Cl)n2nccc2n1']; [0.9809345602989197]
+Clc1cc(Nc2cccc(C3CCNCC3)c2)n2nccc2n1; [None]; [None]; [0]
+O=C(c1ccc(Nc2cc(Cl)nc3ccnn23)nc1)N1CCOCC1; ['Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; ['Nc1ccc(C(=O)N2CCOCC2)cn1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999980330467224, 0.9999966621398926]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3cc(Cl)nc4ccnn34)cc2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(Nc2cc(Cl)nc3ccnn23)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(Nc3cc(Cl)nc4ccnn34)cc2C1; ['Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; ['Nc1ccc2c(c1)CS(=O)(=O)C2', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9979522824287415, 0.9972123503684998]
+CN(C)S(=O)(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; [0.9999529719352722, 0.9967272281646729, 0.9947328567504883]
 Clc1cc(NNc2ncccn2)n2nccc2n1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-Clc1cc(NCc2nccc3ccccc23)n2nccc2n1; [None]; [None]; [0]
-OCCOc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-Clc1cc(Nc2cccc(C3CCNCC3)c2)n2nccc2n1; [None]; [None]; [0]
-O=C(c1ccc(Nc2cc(Cl)nc3ccnn23)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(Nc2cc(Cl)nc3ccnn23)nc1)N1CCOCC1; [None]; [None]; [0]
+Oc1ccccc1CNc1cc(Cl)nc2ccnn12; ['Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; ['NCc1ccccc1O', 'O=Cc1ccccc1O']; [0.991279661655426, 0.987923264503479]
 C[C@H](O)COc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(Nc3cc(Cl)nc4ccnn34)cc2C1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-CN(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
 Cc1nc(C)c(Nc2cc(Cl)nc3ccnn23)s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(Nc2cc(Cl)nc3ccnn23)CC1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](Nc2cc(Cl)nc3ccnn23)C1; [None]; [None]; [0]
-CC(C)c1cc(Nc2cc(Cl)nc3ccnn23)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(Nc2cc(Cl)nc3ccnn23)CC1; ['CS(=O)(=O)N1CCC(=O)CC1', 'CS(=O)(=O)N1CCC(N)CC1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; [0.9999673962593079, 0.9977434873580933]
+CCNS(=O)(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(F)cc1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; [0.987382173538208, 0.9190500974655151, 0.7866207361221313]
+Nc1ncc(CNc2cc(Cl)nc3ccnn23)cn1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(Nc3cc(Cl)nc4ccnn34)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2cc(Cl)nc3ccnn23)nc1; [None]; [None]; [0]
+CCCOc1ccc(Nc2cc(Cl)nc3ccnn23)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1cc(Cl)nc2ccnn12']; [0.9999799728393555]
+O=C(c1ccccc1)N1CC[C@H](Nc2cc(Cl)nc3ccnn23)C1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1Cl; ['CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; [0.9966417551040649, 0.9965887665748596]
+CCN(CC)C(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1']; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; [0.9997633695602417, 0.9739190340042114, 0.9324702024459839]
+Clc1cc(Nc2ccn3nccc3n2)n2nccc2n1; ['Clc1cc(Cl)n2nccc2n1', 'Clc1ccn2nccc2n1']; ['Nc1ccn2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; [0.9965790510177612, 0.9961340427398682]
+CNS(=O)(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
 Cc1c(Nc2cc(Cl)nc3ccnn23)cccc1C(=O)[O-]; [None]; [None]; [0]
+CC(C)c1cc(Nc2cc(Cl)nc3ccnn23)nc(N)n1; [None]; [None]; [0]
+Clc1cc(Nc2ccccc2-n2cccn2)n2nccc2n1; ['Clc1cc(Cl)n2nccc2n1']; ['Nc1ccccc1-n1cccn1']; [0.9989739656448364]
+Clc1cc(Nc2c[nH]c3ccccc23)n2nccc2n1; ['Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'OB(O)c1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12']; [0.998211145401001, 0.9964948296546936, 0.9884408712387085, 0.8046053647994995]
+FC(F)(F)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+COc1cc(OC)c(Nc2cc(Cl)nc3ccnn23)cc1Cl; ['COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Cl)cc1N']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; [0.9980079531669617, 0.9963338971138]
+Clc1cc(Nc2ccc3c(c2)CCO3)n2nccc2n1; ['Clc1cc(Cl)n2nccc2n1']; ['Nc1ccc2c(c1)CCO2']; [0.9997854232788086]
+COc1cc(C(=O)N2CCOCC2)ccc1Nc1cc(Cl)nc2ccnn12; ['COc1cc(C(=O)N2CCOCC2)ccc1N']; ['Clc1cc(Cl)n2nccc2n1']; [0.999969482421875]
+Clc1cc(Nc2cc(-c3ccccc3)[nH]n2)n2nccc2n1; ['Clc1cc(Cl)n2nccc2n1']; ['Nc1cc(-c2ccccc2)[nH]n1']; [0.9772590398788452]
+CC(=O)Nc1cccc(Nc2cc(Cl)nc3ccnn23)c1; ['CC(=O)Nc1cccc(N)c1']; ['Clc1cc(Cl)n2nccc2n1']; [0.941144585609436]
+COc1cc(Nc2cc(Cl)nc3ccnn23)ccc1O; ['COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(N)ccc1O']; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; [0.9995623826980591, 0.9917693138122559, 0.9821851253509521, 0.9620872139930725]
 Clc1cc(Nc2ccc(Br)cc2)n2nccc2n1; [None]; [None]; [0]
+COc1ccc(CNc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+Fc1ccc2nc(CNc3cc(Cl)nc4ccnn34)[nH]c2c1F; [None]; [None]; [0]
+Fc1ccc2[nH]c(CNc3cc(Cl)nc4ccnn34)nc2c1F; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; [0.999758243560791, 0.986548900604248, 0.9651303291320801]
+CNS(=O)(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)c(C)c1; [None]; [None]; [0]
 COc1ccc(Cl)cc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
-CN(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1Cl; [None]; [None]; [0]
-Clc1cc(Nc2c[nH]c3ccccc23)n2nccc2n1; [None]; [None]; [0]
-COc1cc(OC)c(Nc2cc(Cl)nc3ccnn23)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(Nc3cc(Cl)nc4ccnn34)[nH]c2c1; [None]; [None]; [0]
-Clc1cc(Nc2ccc3c(c2)CCO3)n2nccc2n1; [None]; [None]; [0]
-Clc1cc(Nc2cc3ccccc3cn2)n2nccc2n1; [None]; [None]; [0]
-Clc1cc(Nc2cc(-c3ccccc3)[nH]n2)n2nccc2n1; [None]; [None]; [0]
-CC(=O)Nc1cccc(Nc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
-COc1cc(Nc2cc(Cl)nc3ccnn23)ccc1O; [None]; [None]; [0]
+Clc1cc(NCc2nc3ccccc3[nH]2)n2nccc2n1; ['ClCc1nc2ccccc2[nH]1', 'Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; ['Nc1cc(Cl)nc2ccnn12', 'O=Cc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1']; [0.9903792142868042, 0.9698641896247864, 0.9645622968673706]
+Nc1nc(Nc2cc(Cl)nc3ccnn23)cs1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2cc(Cl)nc3ccnn23)CC1; [None]; [None]; [0]
 Clc1cc(Nc2cccc3c2OCO3)n2nccc2n1; [None]; [None]; [0]
+Clc1cc(NCCCc2ccccc2)n2nccc2n1; [None]; [None]; [0]
+Cc1ccc(Nc2cc(Cl)nc3ccnn23)c(=O)[nH]1; ['Cc1ccc(I)c(=O)[nH]1', 'Cc1ccc(N)c(=O)[nH]1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; [0.9859333038330078, 0.8463683128356934]
 Clc1cc(Nc2scc3c2OCCO3)n2nccc2n1; [None]; [None]; [0]
+COc1cccc(C(=O)NNc2cc(Cl)nc3ccnn23)c1; ['COc1cccc(C(=O)NN)c1']; ['Clc1cc(Cl)n2nccc2n1']; [0.9868017435073853]
+Clc1cccc(-n2ccc(Nc3cc(Cl)nc4ccnn34)n2)c1; [None]; [None]; [0]
+CC[C@@H](CO)Nc1cc(Cl)nc2ccnn12; ['CC[C@H](N)CO']; ['Clc1cc(Cl)n2nccc2n1']; [0.9971694350242615]
+OC[C@H](Cc1ccccc1)Nc1cc(Cl)nc2ccnn12; ['Clc1cc(Cl)n2nccc2n1']; ['N[C@H](CO)Cc1ccccc1']; [0.9995753765106201]
+CCN1CCN(Cc2ccc(Nc3cc(Cl)nc4ccnn34)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; [0.9999914169311523, 0.9984292984008789, 0.9956075549125671]
+O=C1CCc2cc(Nc3cc(Cl)nc4ccnn34)ccc2N1; ['Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12']; ['Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9998548030853271, 0.9998350143432617, 0.9998185038566589]
+Clc1cc(Nc2ncc(Br)cn2)n2nccc2n1; ['Clc1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'CS(=O)(=O)c1ncc(Br)cn1', 'Clc1cc(Cl)n2nccc2n1']; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Nc1ncc(Br)cn1']; [0.9996155500411987, 0.9993090033531189, 0.9986410140991211, 0.9981845617294312]
 CC(C)(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
 Clc1cc(Nc2cnc3ccccc3c2)n2nccc2n1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2cc(Cl)nc3ccnn23)CC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(Nc3cc(Cl)nc4ccnn34)cc2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)NNc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
 Cc1cc(Nc2cc(Cl)nc3ccnn23)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(Nc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
-CC[C@@H](CO)Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
+Clc1ccc(Nc2cc(Cl)nc3ccnn23)c(Cl)c1; ['Clc1cc(Cl)n2nccc2n1']; ['Nc1ccc(Cl)cc1Cl']; [0.9994015693664551]
+CC(C)(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cn1; [None]; [None]; [0]
+Clc1cc(Nc2ncc3cccn3n2)n2nccc2n1; ['Clc1ncc2cccn2n1']; ['Nc1cc(Cl)nc2ccnn12']; [0.9999573826789856]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+COc1cc(Nc2cc(Cl)nc3ccnn23)ccc1N1CCOCC1; ['COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; [0.999994158744812, 0.9999760389328003]
+Clc1cc(Nc2cc3ccccn3n2)n2nccc2n1; ['Clc1cc2ccccn2n1', 'Clc1cc(Cl)n2nccc2n1']; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc2ccccn2n1']; [0.999843418598175, 0.9964814782142639]
+Cn1cc(Nc2cc(Cl)nc3ccnn23)c(C(F)(F)F)n1; ['Cn1cc(I)c(C(F)(F)F)n1', 'Clc1cc(Cl)n2nccc2n1']; ['Nc1cc(Cl)nc2ccnn12', 'Cn1cc(N)c(C(F)(F)F)n1']; [0.9999814033508301, 0.9999372959136963]
+COc1ccc2cccc(Nc3cc(Cl)nc4ccnn34)c2c1; ['COc1ccc2cccc(N)c2c1']; ['Clc1cc(Cl)n2nccc2n1']; [0.9961569905281067]
+CSc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+Clc1cc(Nc2cc3ccccc3s2)n2nccc2n1; [None]; [None]; [0]
+Clc1cc(NCCCn2cncn2)n2nccc2n1; [None]; [None]; [0]
 Fc1ccc(Nc2cc(Cl)nc3ccnn23)c(Cl)c1; [None]; [None]; [0]
-Clc1cc(Nc2ncc(Br)cn2)n2nccc2n1; [None]; [None]; [0]
+CC1(C)Cc2cc(Nc3cc(Cl)nc4ccnn34)ccc2O1; [None]; [None]; [0]
+Clc1cnc(Nc2cc(Cl)nc3ccnn23)nc1; ['Clc1cnc(I)nc1', 'CS(=O)c1ncc(Cl)cn1', 'Clc1cnc(Cl)nc1', 'CS(=O)(=O)c1ncc(Cl)cn1', 'Clc1cc(Cl)n2nccc2n1']; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Nc1ncc(Cl)cn1']; [0.9999583959579468, 0.999746561050415, 0.9996405839920044, 0.9994816780090332, 0.9963547587394714]
+Cc1csc2c(Nc3cc(Cl)nc4ccnn34)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1cc(Cl)nc2ccnn12']; [0.9988555908203125]
+Oc1ccc2cccc(Nc3cc(Cl)nc4ccnn34)c2c1; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; ['Oc1ccc2cccc(I)c2c1', 'Oc1ccc2cccc(Br)c2c1', 'Nc1cccc2ccc(O)cc12', 'Oc1ccc2cccc(Cl)c2c1']; [0.9997179508209229, 0.9991980791091919, 0.9701654314994812, 0.9385839700698853]
+CNC(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['CNC(=O)c1ccc(N)cc1']; ['Clc1cc(Cl)n2nccc2n1']; [0.9766351580619812]
+OCCn1cc(Nc2cc(Cl)nc3ccnn23)cn1; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; ['OCCn1cc(I)cn1', 'Nc1cnn(CCO)c1', 'OCCn1cc(Br)cn1']; [0.999983549118042, 0.9980477094650269, 0.989931046962738]
 COc1ccc(Nc2cc(Cl)nc3ccnn23)cc1OC; [None]; [None]; [0]
 CCc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-Clc1ccc(Nc2cc(Cl)nc3ccnn23)c(Cl)c1; [None]; [None]; [0]
-Clc1cc(Nc2ncc3cccn3n2)n2nccc2n1; [None]; [None]; [0]
-COc1cc(Nc2cc(Cl)nc3ccnn23)ccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(Nc2cc(Cl)nc3ccnn23)c(C(F)(F)F)n1; [None]; [None]; [0]
-Clc1cc(Nc2cc3ccccn3n2)n2nccc2n1; [None]; [None]; [0]
-CC1(C)Cc2cc(Nc3cc(Cl)nc4ccnn34)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(Nc3cc(Cl)nc4ccnn34)c2c1; [None]; [None]; [0]
-Oc1ccc2cccc(Nc3cc(Cl)nc4ccnn34)c2c1; [None]; [None]; [0]
-COc1cc(F)c(Nc2cc(Cl)nc3ccnn23)cc1OC; [None]; [None]; [0]
-COc1cc(Nc2cc(Cl)nc3ccnn23)ccc1Cl; [None]; [None]; [0]
-Clc1cnc(Nc2cc(Cl)nc3ccnn23)nc1; [None]; [None]; [0]
-Cc1csc2c(Nc3cc(Cl)nc4ccnn34)ncnc12; [None]; [None]; [0]
-Nc1cc(Nc2cc(Cl)nc3ccnn23)c2cc[nH]c2n1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](Nc2cc(Cl)nc3ccnn23)CC1; ['CO[C@H]1CC[C@H](N)CC1']; ['Clc1cc(Cl)n2nccc2n1']; [0.9975473284721375]
+CCNC(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)nc1; ['CCNC(=O)c1ccc(Cl)nc1']; ['Nc1cc(Cl)nc2ccnn12']; [0.9806288480758667]
+CCNC(=O)N1CCC(Nc2cc(Cl)nc3ccnn23)CC1; ['CCNC(=O)N1CCC(N)CC1']; ['Clc1cc(Cl)n2nccc2n1']; [0.9947601556777954]
+Nc1cc(Nc2cc(Cl)nc3ccnn23)c2cc[nH]c2n1; ['Nc1cc(Br)c2cc[nH]c2n1']; ['Nc1cc(Cl)nc2ccnn12']; [0.9787371754646301]
+O=C(Nc1cn[nH]c1)c1cccc(Nc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
 COc1cc(Nc2cc(Cl)nc3ccnn23)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](Nc2cc(Cl)nc3ccnn23)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(Nc2cc(Cl)nc3ccnn23)CC1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(Nc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
-COc1cc(Nc2cc(Cl)nc3ccnn23)cc(OC)c1; [None]; [None]; [0]
+Clc1cc(Nc2ccc3cn[nH]c3c2)n2nccc2n1; ['Clc1cc(Cl)n2nccc2n1', 'Brc1ccc2cn[nH]c2c1']; ['Nc1ccc2cn[nH]c2c1', 'Nc1cc(Cl)nc2ccnn12']; [0.9999176263809204, 0.9990003108978271]
 COc1ccc2c(c1)c(Nc1cc(Cl)nc3ccnn13)cn2C; [None]; [None]; [0]
-COc1ccc2oc(Nc3cc(Cl)nc4ccnn34)cc2c1; [None]; [None]; [0]
-Clc1cc(Nc2ccc3cn[nH]c3c2)n2nccc2n1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(Nc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
-Clc1cc(Nc2cc(-c3cccnc3)ccn2)n2nccc2n1; [None]; [None]; [0]
+CCn1cc(Nc2cc(Cl)nc3ccnn23)cn1; ['CCn1cc(I)cn1', 'CCn1cc(N)cn1', 'CCn1cc(Br)cn1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; [0.9998358488082886, 0.9758404493331909, 0.9003323316574097]
+CNC(=O)c1ccc(OC)c(Nc2cc(Cl)nc3ccnn23)c1; ['CNC(=O)c1ccc(OC)c(Br)c1', 'CNC(=O)c1ccc(OC)c(N)c1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; [0.9988251328468323, 0.9977201223373413]
+COc1cc(F)c(Nc2cc(Cl)nc3ccnn23)cc1OC; [None]; [None]; [0]
+COc1cc(Nc2cc(Cl)nc3ccnn23)ccc1Cl; [None]; [None]; [0]
 Clc1cc(Nc2cc3ccccc3o2)n2nccc2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-Clc1cc(Nc2ncc3sccc3n2)n2nccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+Clc1cc(Nc2cc(-c3cccnc3)ccn2)n2nccc2n1; ['Clc1cc(Cl)n2nccc2n1']; ['Nc1cc(-c2cccnc2)ccn1']; [0.9991130232810974]
+Clc1cc(Nc2ncc3sccc3n2)n2nccc2n1; ['Clc1ncc2sccc2n1']; ['Nc1cc(Cl)nc2ccnn12']; [0.9999481439590454]
+CC(C)c1nn(C)cc1Nc1cc(Cl)nc2ccnn12; ['CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br']; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12']; [0.9999982118606567, 0.9999950528144836]
+COc1ccc2nc(Nc3cc(Cl)nc4ccnn34)[nH]c2c1; ['COc1ccc2nc(Cl)[nH]c2c1']; ['Nc1cc(Cl)nc2ccnn12']; [0.9695931673049927]
+COc1ccc2oc(Nc3cc(Cl)nc4ccnn34)cc2c1; [None]; [None]; [0]
+COc1ccc(OC)c(CNc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
 O=C(Nc1cccc(Nc2cc(Cl)nc3ccnn23)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(Nc3cc(Cl)nc4ccnn34)[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NNc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
+CCc1cccc(Nc2cc(Cl)nc3ccnn23)n1; ['CCc1cccc(Br)n1', 'CCc1cccc(N)n1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; [0.9990881681442261, 0.982621431350708]
+COc1cc(Nc2cc(Cl)nc3ccnn23)cc(OC)c1; [None]; [None]; [0]
 Cn1cc(Nc2cc(Cl)nc3ccnn23)c2ccccc21; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(Nc3cc(Cl)nc4ccnn34)[nH]c2c1; [None]; [None]; [0]
-CCc1cccc(Nc2cc(Cl)nc3ccnn23)n1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
 Clc1cc(Nc2ncn3c2CCCC3)n2nccc2n1; [None]; [None]; [0]
 Cc1cc(Nc2cc(Cl)nc3ccnn23)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(Nc3cc(Cl)nc4ccnn34)ccc12; [None]; [None]; [0]
+Cc1n[nH]c2cc(Nc3cc(Cl)nc4ccnn34)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; [0.999998927116394, 0.9994737505912781, 0.9993536472320557]
+Cn1cc(Br)cc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(Nc3cc(Cl)nc4ccnn34)cn2)CC1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(Nc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
-OCCc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
-O=C(NNc1cc(Cl)nc2ccnn12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)c(Cl)c1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(Nc2cc(Cl)nc3ccnn23)c1; ['Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12']; ['Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Cl)c1']; [0.99683678150177, 0.9952415227890015, 0.9472224712371826]
+O=C(NNc1cc(Cl)nc2ccnn12)c1cccc(OC(F)(F)F)c1; ['Clc1cc(Cl)n2nccc2n1']; ['NNC(=O)c1cccc(OC(F)(F)F)c1']; [0.9997555613517761]
+OCCc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1', 'Nc1cc(Cl)nc2ccnn12']; ['OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(Br)cc1']; [0.9999703764915466, 0.9999102354049683, 0.9949018955230713, 0.9929349422454834]
+CC(C)(O)c1ccc2cc(Nc3cc(Cl)nc4ccnn34)[nH]c2c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(Nc3cc(Cl)nc4ccnn34)cc2)n1C; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1Nc1cc(Cl)nc2ccnn12; ['COc1cc(S(C)(=O)=O)ccc1N']; ['Clc1cc(Cl)n2nccc2n1']; [0.9990811944007874]
+Cc1cc(N2CCOCC2)ccc1Nc1cc(Cl)nc2ccnn12; ['Cc1cc(N2CCOCC2)ccc1N']; ['Clc1cc(Cl)n2nccc2n1']; [0.9999992251396179]
+CNC(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; [0.9933090806007385, 0.9236017465591431]
+Cn1ncc2cc(Nc3cc(Cl)nc4ccnn34)ccc21; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)c(Cl)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; ['CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(N)cc1']; ['Nc1cc(Cl)nc2ccnn12', 'Clc1cc(Cl)n2nccc2n1']; [0.9913287162780762, 0.9167076945304871]
+CCNC(=O)Cc1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(Nc3cc(Cl)nc4ccnn34)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cc(Cl)nc3ccnn23)cn1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(Nc2cc(Cl)nc3ccnn23)c1; ['CNC(=O)c1ccc(C)c(N)c1']; ['Clc1cc(Cl)n2nccc2n1']; [0.9236432909965515]
+CN(C)C(=O)c1ccc(Nc2cc(Cl)nc3ccnn23)nc1; ['CN(C)C(=O)c1ccc(Br)nc1', 'CN(C)C(=O)c1ccc(Cl)nc1']; ['Nc1cc(Cl)nc2ccnn12', 'Nc1cc(Cl)nc2ccnn12']; [0.9996242523193359, 0.999420166015625]
+CNC(=O)c1ccccc1-c1cnn2c(N)ccnc12; ['CNC(=O)c1ccccc1B(O)O']; ['Nc1ccnc2c(Br)cnn12']; [0.9999829530715942]
 Cn1nc(Nc2cc(Cl)nc3ccnn23)cc1C(C)(C)O; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(Nc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(Nc2cc(Cl)nc3ccnn23)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cnn3c(N)ccnc23)[nH]1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cnn2c(N)ccnc12; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999730587005615, 0.9999005794525146, 0.9996825456619263, 0.9983757734298706]
+CCOc1ccccc1-c1cnn2c(N)ccnc12; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999997615814209, 0.9999979734420776, 0.999997079372406, 0.9999898672103882, 0.9999318718910217, 0.9997234344482422]
+Nc1ccnc2c(Cc3cc(F)cc(F)c3)cnn12; ['Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1', 'Fc1cc(F)cc(CCl)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2ccnn12']; [0.9999955892562866, 0.9999740123748779, 0.9998347759246826, 0.9994388222694397]
+C[C@H](CS(C)(=O)=O)Nc1cc(Cl)nc2ccnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccccc3OC(F)(F)F)cnn12; ['Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['OB(O)c1ccccc1OC(F)(F)F', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F']; [1.0, 1.0, 1.0, 0.999999463558197, 0.9999793767929077]
+CP(C)(=O)c1ccccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+COC(C)(C)CCc1cnn2c(N)ccnc12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cnn2c(N)ccnc12; ['NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.999812662601471, 0.9984563589096069]
+Nc1ccnc2c(-c3ccccc3C(=O)[O-])cnn12; [None]; [None]; [0]
+CCn1cc(-c2cnn3c(N)ccnc23)cn1; [None]; [None]; [0]
+Nc1ccnc2c(-c3cccc(C(F)(F)F)c3)cnn12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cnn4c(N)ccnc34)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1ccnc2c(Br)cnn12']; [0.8133761882781982]
+Nc1ccnc2c(-c3cnn(Cc4ccccc4)c3)cnn12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Nc1ccnc2c(Cl)cnn12']; [0.9999998807907104, 0.9999996423721313, 0.9999990463256836, 0.9999964237213135, 0.9999924898147583]
+Nc1ccnc2c(-c3cnc(-c4ccccc4)[nH]3)cnn12; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; ['c1ccc(-c2ncc[nH]2)cc1', 'c1ccc(-c2ncc[nH]2)cc1']; [0.9875659346580505, 0.9867751598358154]
+COc1cnc(-c2cnn3c(N)ccnc23)nc1; ['COc1cncnc1']; ['Nc1ccnc2c(Br)cnn12']; [0.9900602698326111]
+Nc1ccnc2c(-c3cnn(CCO)c3)cnn12; ['Nc1ccnc2c(I)cnn12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12']; ['OCCn1cc(B(O)O)cn1', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'OCCn1cc(B(O)O)cn1', 'Nc1ccnc2c(Cl)cnn12', 'OCCn1cc(Br)cn1']; [0.999998927116394, 0.9999988079071045, 0.9999969005584717, 0.9999816417694092, 0.9999420642852783, 0.9919499158859253]
+Nc1ccnc2c(-c3ccnc4ccccc34)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3cc(Cl)ccc3Cl)cnn12; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [1.0, 1.0, 0.9999867677688599, 0.9999797344207764, 0.9968947172164917]
+CC(C)C(=O)COc1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ccnc2c(-c3cccc(NC(=O)c4ccccc4)c3)cnn12; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999997615814209, 0.9999972581863403, 0.9999971985816956]
+Cc1ccc(-c2cnn3c(N)ccnc23)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9998571872711182, 0.9920438528060913, 0.9859336614608765]
+Nc1ccnc2c(-c3cnc4ccccn34)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.9998650550842285, 0.9998517036437988, 0.9998397827148438]
+Cc1nc2ccccn2c1-c1cnn2c(N)ccnc12; ['Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1', 'Cc1nc2ccccn2c1Br']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999963641166687, 0.9999808669090271, 0.9974957704544067]
+CNc1nc(C)c(-c2cnn3c(N)ccnc23)s1; ['CNc1nc(C)cs1']; ['Nc1ccnc2c(Br)cnn12']; [0.995901346206665]
+Nc1ccnc2c(-c3cnc4cccnn34)cnn12; ['Nc1ccnc2c(Br)cnn12']; ['c1cnn2ccnc2c1']; [0.9993183612823486]
+Cc1nc(N)sc1-c1cnn2c(N)ccnc12; ['Cc1csc(N)n1']; ['Nc1ccnc2c(Br)cnn12']; [0.9886554479598999]
 Nc1ccnc2c(-n3ncc4cccc(F)c4c3=O)cnn12; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cnn3c(N)ccnc23)cs1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cnn3c(N)ccnc23)s1; [None]; [None]; [0]
+Nc1ccnc2c(-c3c(Cl)cccc3Cl)cnn12; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2ccnn12']; [0.9999957084655762, 0.9999803304672241, 0.9992331266403198, 0.9944733381271362, 0.9911311268806458]
+Cc1ccc(Cl)c(-c2cnn3c(N)ccnc23)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999997019767761, 0.9999994039535522, 0.9999839663505554, 0.9999510049819946, 0.997381329536438]
+Nc1ccnc2c(NCc3cccnc3)cnn12; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999731779098511, 0.9999522566795349, 0.9999402165412903]
+Nc1ccnc2c(-c3ccc4ccccc4c3)cnn12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.9999997615814209, 0.9999996423721313, 0.9999992847442627, 0.9999992251396179, 0.9999701976776123]
+Nc1nccc(-c2cnn3c(N)ccnc23)n1; ['Nc1ccnc2c(Br)cnn12']; ['Nc1nccc(Cl)n1']; [0.9790368676185608]
+Nc1ccnc2c(Nc3cccnc3)cnn12; ['Nc1cccnc1', 'Nc1cccnc1', 'Nc1cccnc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.9998160600662231, 0.9992555379867554, 0.9984549283981323]
+Nc1ccnc2c(-c3cccc(Cn4cncn4)c3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3cnn4ncccc34)cnn12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999924898147583, 0.9999862909317017, 0.9022641181945801]
+Nc1ccnc2c(-c3cccc(Br)c3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(NCCc3c[nH]cn3)cnn12; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9942089319229126, 0.9809274673461914, 0.9762424230575562]
 Cc1c(-c2cnn3c(N)ccnc23)sc(=O)n1C; [None]; [None]; [0]
-Nc1ccnc2c(-c3cnn4ncccc34)cnn12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cnn3c(N)ccnc23)o1; [None]; [None]; [0]
+Nc1ccnc2c(-c3c[nH]nc3C(F)(F)F)cnn12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.9999991655349731, 0.9999924302101135]
+Nc1ccnc2c(NCCc3ccccc3)cnn12; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.9992632865905762, 0.9973984956741333, 0.9971967935562134]
+Nc1ccnc2c(NC(=O)c3cccs3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3cncc4ccccc34)cnn12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Brc1cncc2ccccc12']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Nc1ccnc2c(Br)cnn12']; [0.9999984502792358, 0.9999978542327881, 0.9999191761016846, 0.9995578527450562, 0.9981048107147217, 0.9954841136932373]
+Nc1[nH]nc2cc(-c3cnn4c(N)ccnc34)ccc12; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cnn4c(N)ccnc34)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 1.0, 0.9996041059494019]
+Nc1ccnc2c(-n3cnc4ccccc43)cnn12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ccnc2c(-c3cccc(CC(=O)[O-])c3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(NCc3ccc(Cl)cc3)cnn12; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999015927314758, 0.999714732170105, 0.9981949329376221]
+Nc1ccnc2c(-c3ccc(-c4cn[nH]c4)cc3)cnn12; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['Nc1ccnc2c(Br)cnn12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Nc1ccnc2ccnn12']; [1.0, 0.9999998807907104, 0.9999996423721313, 0.9999735355377197, 0.9988552331924438]
+Cn1ncc2cc(-c3cnn4c(N)ccnc34)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.9999997615814209, 0.9999997615814209, 0.9999723434448242, 0.9927347898483276]
+Nc1ccnc2c(Nc3ccncc3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(I)cnn12']; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1']; [0.9999944567680359, 0.9999674558639526, 0.9999576210975647]
+Nc1ccnc2c(-c3cccc(O)c3)cnn12; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Nc1ccnc2c(I)cnn12', 'Oc1cccc(Br)c1']; [0.9999958872795105, 0.9999874830245972, 0.9999803304672241, 0.9999765157699585, 0.984444260597229]
 CN1c2ccc(-c3cnn4c(N)ccnc34)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2cnn3c(N)ccnc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1ccnc2c(NCc3ccccc3F)cnn12; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999920129776001, 0.9999846816062927, 0.9999361038208008]
+Nc1ccnc2c(-c3cccc(CO)c3)cnn12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'Nc1ccnc2c(Cl)cnn12', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1']; [0.9999995231628418, 0.9999992251396179, 0.9999935030937195, 0.9999904632568359, 0.9999884963035583, 0.9996129274368286, 0.9922096133232117]
 CC(C)n1cc(-c2cnn3c(N)ccnc23)nn1; [None]; [None]; [0]
+CCCn1cnc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
+COc1cc(-c2cnn3c(N)ccnc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1ccnc2c(-c3csc4ncncc34)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3cc4ccccc4[nH]3)cnn12; ['Nc1ccnc2c(Br)cnn12']; ['OB(O)c1cc2ccccc2[nH]1']; [0.9999944567680359]
 Nc1ccnc2c(CCc3c[nH]nn3)cnn12; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cnn2c(N)ccnc12; [None]; [None]; [0]
+CSc1nc(-c2cnn3c(N)ccnc23)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ncncc1-c1cnn2c(N)ccnc12; ['Nc1ccnc2c(Br)cnn12']; ['Nc1ncncc1Br']; [0.9993578791618347]
+CCC(=O)Nc1ccc(-c2cnn3c(N)ccnc23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999997615814209, 0.9999997019767761, 0.9999974966049194]
+Nc1nc(-c2cnn3c(N)ccnc23)cs1; [None]; [None]; [0]
+Nc1ccnc2c(Oc3ccccn3)cnn12; ['Nc1ccnc2c(Br)cnn12']; ['Oc1ccccn1']; [0.9991106986999512]
+Nc1ccnc2c(-c3ccc(F)cc3C(F)(F)F)cnn12; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ccnc2c(Br)cnn12']; [0.9999958276748657, 0.9999942779541016, 0.999591588973999, 0.9988293051719666]
 Nc1ccnc2c(NC(=O)c3c(Cl)cccc3Cl)cnn12; [None]; [None]; [0]
+NC(=O)CCCc1cnn2c(N)ccnc12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cnn3c(N)ccnc23)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999997615814209, 0.9999988079071045, 0.9999967813491821, 0.9999936819076538, 0.9999250769615173, 0.9941925406455994]
+CCNc1nc2ccc(-c3cnn4c(N)ccnc34)cc2s1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cnn3c(N)ccnc23)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9995744228363037, 0.9982835054397583]
 CC(C)(COc1cnn2c(N)ccnc12)S(C)(=O)=O; [None]; [None]; [0]
+Cn1cc(-c2cnn3c(N)ccnc23)c2ccccc21; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1cnn2c(N)ccnc12; [None]; [None]; [0]
+CCCn1cc(-c2cnn3c(N)ccnc23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999998211860657, 0.9999997019767761, 0.9999988079071045, 0.9999948740005493, 0.9999913573265076, 0.999548077583313]
+COc1ccc(-c2cnn3c(N)ccnc23)cc1Cl; [None]; [None]; [0]
+Nc1ccnc2c(-c3cnn4ccccc34)cnn12; [None]; [None]; [0]
 Nc1ccnc2c(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cnn12; [None]; [None]; [0]
-C[C@@H](Oc1cnn2c(N)ccnc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+Nc1ccnc2c(-c3cccc4c3C(=O)CC4)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2ccnn12']; ['O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21']; [0.9822430610656738, 0.9695515632629395]
+Nc1ccnc2c(-c3cc[nH]c(=O)c3)cnn12; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'O=c1cc(I)cc[nH]1', 'O=c1cc(Br)cc[nH]1']; [0.9999994039535522, 0.9999991655349731, 0.9988824129104614, 0.9253181219100952]
+C[S@](=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999998211860657, 0.9999980330467224, 0.9999958276748657]
+CCNS(=O)(=O)c1ccccc1-c1cnn2c(N)ccnc12; ['CCNS(=O)(=O)c1ccccc1Br']; ['Nc1ccnc2c(Br)cnn12']; [0.9996854662895203]
+C[C@@H](Oc1cnn2c(N)ccnc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.9999687671661377, 0.9994913339614868]
+CC(C)(N)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
+CCN(CC)c1cnn2c(N)ccnc12; ['CCNCC', 'CCNCC', 'CCNCC']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.9997208714485168, 0.999295711517334, 0.9991804957389832]
+COc1cc(CCc2cnn3c(N)ccnc23)cc(OC)c1; [None]; [None]; [0]
+Nc1ccnc2c(Nc3cnc4ccccc4c3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(I)cnn12']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; [0.9999994039535522, 0.9999825358390808, 0.9999322891235352]
+COc1ccncc1Nc1cnn2c(N)ccnc12; ['COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1N']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.9999958276748657, 0.9999911189079285, 0.9999873638153076]
+CC(C)(C)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.999998927116394, 0.9999983310699463, 0.9999524354934692, 0.9978479146957397]
+CC(C)Oc1cncc(-c2cnn3c(N)ccnc23)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999992847442627, 0.9999989867210388, 0.9999974966049194, 0.9999961256980896, 0.9999631643295288, 0.9682755470275879]
+Nc1ccnc2c(-c3cc4c(=O)[nH]ccc4o3)cnn12; [None]; [None]; [0]
+COc1cccc(F)c1-c1cnn2c(N)ccnc12; ['COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2ccnn12']; [1.0, 1.0, 1.0, 1.0, 0.9999978542327881, 0.999996542930603, 0.9999874234199524]
+Nc1ccnc2c(Nc3cnccc3-c3ccccc3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.9999780654907227, 0.9998619556427002, 0.9998430013656616]
+Nc1ccnc2c(-c3cnc4[nH]ccc4c3)cnn12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1ccnc2c(Cl)cnn12', 'Brc1cnc2[nH]ccc2c1']; ['Nc1ccnc2c(Br)cnn12', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.9999998807907104, 0.9998610615730286, 0.9990543127059937]
+Nc1ccnc2c(-c3c[nH]c4cnccc34)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9992895126342773, 0.9981687068939209]
+CNC(=O)c1c(F)cccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
 Nc1ccnc2c(-c3cc4c(=O)[nH]cc(Br)c4s3)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(Nc3cnccc3-c3ccccc3)cnn12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 0.9999997615814209, 0.9999995231628418, 0.9999995231628418, 0.9999558925628662, 0.99196857213974]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.9999997615814209, 0.9999997019767761, 0.9999977946281433, 0.9999721050262451, 0.9993494153022766]
+Nc1ccnc2c(-c3ccc(N4CCOCC4)cc3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccnc2c(Br)cnn12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccnc2c(I)cnn12']; [1.0, 1.0, 1.0, 1.0]
 CN(c1cnn2c(N)ccnc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Cc1cc(-c2cnn3c(N)ccnc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CC1(c2cnn3c(N)ccnc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
 C[C@H](Nc1cnn2c(N)ccnc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-Nc1ccnc2c(-c3ccn(CC[NH3+])n3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-n3ccc(CO)n3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9999151229858398, 0.9997895359992981]
+C[C@H](Nc1cnn2c(N)ccnc12)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9938349723815918, 0.9674299955368042, 0.7765201330184937]
+C[C@@H](Nc1cnn2c(N)ccnc12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9938349723815918, 0.9674299955368042, 0.7765201330184937]
+Nc1ccnc2c(-c3c(F)cccc3Cl)cnn12; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Nc1ccnc2c(I)cnn12', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl']; [1.0, 0.9999996423721313, 0.9999995231628418, 0.9999459385871887]
+Nc1ccnc2c(-n3ncc4ccccc43)cnn12; ['Nc1ccnc2c(Br)cnn12']; ['c1ccc2[nH]ncc2c1']; [0.9979147911071777]
+Nc1ccnc2c(-n3cnc(CCO)c3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3nc4ccc(O)cc4[nH]3)cnn12; [None]; [None]; [0]
+COc1ccc(-c2cnn3c(N)ccnc23)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999969005584717, 0.9999946355819702, 0.9999697804450989, 0.9999218583106995, 0.9995966553688049, 0.9984408617019653]
+Nc1ccnc2c(-n3ncc4c(O)cccc43)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(-n4cncn4)cc3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(C(=O)c4ccccc4)cc3)cnn12; [None]; [None]; [0]
+CSc1nc(C)c(-c2cnn3c(N)ccnc23)[nH]1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
+Nc1ccnc2c(-c3nncn3C3CC3)cnn12; [None]; [None]; [0]
 Nc1ccnc2c(Cc3nnc4ccc(-c5ccccc5)nn34)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccn(CC[NH3+])n3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(CCC(=O)NCc3ccccn3)cnn12; [None]; [None]; [0]
+CCc1cc(-c2cnn3c(N)ccnc23)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['Nc1ccnc2c(Br)cnn12']; [0.9897418022155762]
 Nc1ccnc2c(CS(=O)(=O)NCc3ccccn3)cnn12; [None]; [None]; [0]
+CCCCc1cc(-c2cnn3c(N)ccnc23)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cnn3c(N)ccnc23)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
+Nc1ccnc2c(-c3nc4ccccc4s3)cnn12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnn3c(N)ccnc23)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
+Nc1ccnc2c(-c3cn(Cc4ccccc4)nn3)cnn12; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
-Nc1ccnc2c(Oc3ccc(C[NH3+])cc3F)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3cccc4ccsc34)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; ['OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9998865127563477, 0.9998127222061157]
 CC1(C)Oc2ccc(-c3cnn4c(N)ccnc34)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnn4c(N)ccnc34)c2)cc1; [None]; [None]; [0]
+Nc1ccnc2c(Oc3ccc(C[NH3+])cc3F)cnn12; [None]; [None]; [0]
 Nc1ccnc2c(-c3cccc4nnsc34)cnn12; [None]; [None]; [0]
-COc1ccc(Oc2cnn3c(N)ccnc23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
+Nc1cncc(-c2cnn3c(N)ccnc23)n1; [None]; [None]; [0]
+Nc1nc(-c2cnn3c(N)ccnc23)nc2ccccc12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ncc4ccccc4n3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3c[nH]c4cccnc34)cnn12; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Nc1ccnc2c(Br)cnn12']; [0.9999974370002747]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnn4c(N)ccnc34)c2)cc1; [None]; [None]; [0]
+Nc1ccnc2c(-c3ncc4cc[nH]c4n3)cnn12; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cnn2c(N)ccnc12; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999997615814209, 0.9999991655349731, 0.9999990463256836, 0.9999988079071045, 0.99998939037323, 0.9997508525848389]
+COc1ccc(Oc2cnn3c(N)ccnc23)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999679327011108, 0.9998265504837036, 0.9990959763526917]
+CC(=O)Nc1ncc(-c2cnn3c(N)ccnc23)[nH]1; [None]; [None]; [0]
+COc1ncccc1-c1cnn2c(N)ccnc12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999992251396179, 0.9999494552612305, 0.9999485015869141, 0.9988933801651001]
+COc1ccc(OC)c(-c2cnn3c(N)ccnc23)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999974966049194, 0.9999903440475464, 0.9999769926071167, 0.9999501705169678, 0.9990458488464355, 0.9981065392494202]
+CN(C)S(=O)(=O)c1cccc(-c2cnn3c(N)ccnc23)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 0.9999997615814209, 0.9999989867210388, 0.9999748468399048, 0.9999607801437378, 0.9994674921035767, 0.9991008043289185]
+Nc1ccnc2c(-c3cn(CCO)cn3)cnn12; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
+Nc1ccnc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cnn12; [None]; [None]; [0]
+CCOc1ccc(-c2cnn3c(N)ccnc23)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(Br)cc1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2ccnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.9999995231628418, 0.999999463558197, 0.999964714050293, 0.9999125003814697, 0.9995535612106323]
+CC(=O)N(C)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccccc1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2ccnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 0.9999997615814209, 0.9999995231628418, 0.9997168779373169, 0.9961478114128113, 0.9779185056686401]
+Nc1ccnc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)cnn12; [None]; [None]; [0]
 Nc1ccnc2c(-c3cccc(NC(=O)C4CCNCC4)c3)cnn12; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnn4c(N)ccnc34)cc2)CC1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cnn3c(N)ccnc23)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [1.0, 1.0, 0.9999977350234985, 0.999995231628418, 0.9999054670333862]
+CN(C)c1cc(-c2cnn3c(N)ccnc23)cnn1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+COc1ccc(-c2cnn3c(N)ccnc23)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [1.0, 0.9999997615814209, 0.999999463558197, 0.9999986886978149, 0.9999597072601318]
+Cc1ccc2ncn(-c3cnn4c(N)ccnc34)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2[nH]cnc2c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9995892643928528, 0.9977196455001831, 0.997566282749176]
+Nc1ccnc2c(-c3nccc4ccccc34)cnn12; ['Brc1nccc2ccccc12']; ['Nc1ccnc2c(Br)cnn12']; [0.9977801442146301]
+COc1cc(-c2cnn3c(N)ccnc23)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999996423721313, 0.999998927116394, 0.999997615814209, 0.9999966621398926, 0.9998987913131714, 0.9981591701507568]
+Nc1ccnc2c(-c3cccc(NC(=O)C4CC4)c3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(C(=O)[O-])cc3)cnn12; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cnn3c(N)ccnc23)c1; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999974966049194, 0.9999775290489197, 0.924527645111084]
+Nc1ccnc2c(-c3nc4ccccc4[nH]3)cnn12; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2ccnn12']; [1.0, 1.0, 0.9999997019767761, 0.9999997019767761, 0.999546468257904, 0.9993890523910522]
+Nc1ccnc2c(Nc3ncccn3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9907574653625488, 0.95730060338974]
+Nc1ccnc2c(-c3cccc(C4CCNCC4)c3)cnn12; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cnn3c(N)ccnc23)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.9999997019767761, 0.9999996423721313, 0.9999989867210388, 0.9999974966049194]
+Nc1ccnc2c(-c3ccc(C(=O)Nc4ccccc4)cc3)cnn12; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [1.0, 1.0, 0.9999996423721313, 0.9999995231628418]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnn4c(N)ccnc34)cc2)CC1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cnn4c(N)ccnc34)cn2)c1; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(OCCO)cc3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(C(=O)N4CCOCC4)cc3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(C(=O)N4CCOCC4)cn3)cnn12; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
 Nc1ccnc2c(-c3ccc4c(c3)CS(=O)(=O)C4)cnn12; [None]; [None]; [0]
-CC(C)c1cc(-c2cnn3c(N)ccnc23)nc(N)n1; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(C(F)(F)F)cc3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1ccnc2c(Cl)cnn12', 'FC(F)(F)c1ccc(Br)cc1']; ['OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccnc2c(Br)cnn12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 1.0, 1.0, 0.9999947547912598, 0.9999269247055054]
+C[C@H](O)COc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.9999980926513672, 0.9999976754188538, 0.999969482421875, 0.9991496205329895]
+CC(C)c1cc(-c2cnn3c(N)ccnc23)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Nc1ccnc2c(Br)cnn12']; [0.9996997714042664]
+CN(C)S(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2ccnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 1.0, 0.9999992847442627, 0.9999992251396179, 0.9999875426292419, 0.999944269657135, 0.9990377426147461]
+CCNS(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999996423721313, 0.9999994039535522, 0.9999104142189026, 0.9994865655899048]
+CS(=O)(=O)N1CCC(c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
+Nc1ccnc2c(Cc3ccccc3O)cnn12; [None]; [None]; [0]
+Nc1ncc(Cc2cnn3c(N)ccnc23)cn1; [None]; [None]; [0]
+CCCOc1ccc(-c2cnn3c(N)ccnc23)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1ccnc2c(Br)cnn12']; [0.9996490478515625]
+Nc1ccnc2c(-c3ccc(Br)cc3)cnn12; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Brc1ccc(Br)cc1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Nc1ccnc2ccnn12']; [1.0, 0.9999997019767761, 0.9999995231628418, 0.9999891519546509, 0.9999607801437378, 0.9957670569419861]
+COc1ccc(Cc2cnn3c(N)ccnc23)cc1; ['COc1ccc(CCl)cc1', 'COc1ccc(C[Zn]Cl)cc1', 'COc1ccc(CCl)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2ccnn12']; [0.9998381733894348, 0.9997215270996094, 0.9804258346557617]
+Nc1ccnc2c(-c3ccn4nccc4n3)cnn12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn3c(N)ccnc23)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999989867210388, 0.9999850988388062, 0.999982476234436]
 CC(=O)N1CCCN(c2cccc(-c3cnn4c(N)ccnc34)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cnn3c(N)ccnc23)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ccnc2c([C@H]3CCN(C(=O)c4ccccc4)C3)cnn12; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.9999996423721313, 0.9999996423721313, 0.9999994039535522, 0.9999808073043823, 0.9996480941772461]
+Nc1ccnc2c(-c3ccccc3-n3cccn3)cnn12; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1']; [1.0, 1.0, 0.9999953508377075, 0.9999926090240479, 0.9990015029907227]
+CN(C)c1ccc(-c2cnn3c(N)ccnc23)cc1Cl; [None]; [None]; [0]
+Nc1ccnc2c(-c3c[nH]c4ccccc34)cnn12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999942779541016, 0.9958339929580688, 0.9894190430641174]
+COc1ccc(Cl)cc1-c1cnn2c(N)ccnc12; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999997615814209, 0.9999988675117493, 0.9999983906745911, 0.9999974966049194, 0.9999426603317261, 0.9999056458473206]
+Nc1ccnc2c(-c3ccc4c(c3)CCO4)cnn12; ['Nc1ccnc2c(I)cnn12', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Brc1ccc2c(c1)CCO2']; ['OB(O)c1ccc2c(c1)CCO2', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 1.0, 0.9999998211860657, 0.9999866485595703, 0.9999021291732788]
+Nc1ccnc2c(-c3cccc4c3OCO4)cnn12; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2']; [0.9999998211860657, 0.9999997615814209, 0.9999799728393555, 0.9999021291732788, 0.9992135763168335]
+Nc1ccnc2c(-c3scc4c3OCCO4)cnn12; ['CC1(C)OB(c2scc3c2OCCO3)OC1(C)C']; ['Nc1ccnc2c(Br)cnn12']; [0.9999998211860657]
+COc1cc(-c2cnn3c(N)ccnc23)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999995827674866, 0.9999995231628418, 0.9999887943267822, 0.9999784231185913, 0.9978353977203369]
+COc1cc(OC)c(-c2cnn3c(N)ccnc23)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cnn4c(N)ccnc34)[nH]c2c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ccnc2c(-c3cnc4ccccc4c3)cnn12; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Brc1cnc2ccccc2c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1ccnc2c(Br)cnn12']; [0.9999992251396179, 0.9999982118606567, 0.9999954104423523, 0.9999790191650391, 0.9998276829719543, 0.9963090419769287]
+Nc1ccnc2c(-c3cc(-c4ccccc4)[nH]n3)cnn12; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.9999997615814209, 0.999998927116394]
+CC(C)(C)c1ccc(-c2cnn3c(N)ccnc23)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.9999979734420776, 0.9999971389770508, 0.999663770198822, 0.9983327388763428]
+Nc1ccnc2c(Cc3nc4ccc(F)c(F)c4[nH]3)cnn12; [None]; [None]; [0]
+Cc1ccc(-c2cnn3c(N)ccnc23)c(=O)[nH]1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
+Nc1ccnc2c(CCCc3ccccc3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Br[Zn]CCCc1ccccc1']; ['OB(O)CCCc1ccccc1', 'Nc1ccnc2c(Br)cnn12']; [0.9995505809783936, 0.9992052316665649]
+Nc1ccnc2c(-c3cc4ccccc4s3)cnn12; ['CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'OB(O)c1cc2ccccc2s1']; [0.9999997019767761, 0.9999996423721313]
+CSc1ccc(-c2cnn3c(N)ccnc23)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999998807907104, 0.9999998211860657, 0.9999991655349731, 0.9999983906745911, 0.999794065952301, 0.9985507726669312]
+Nc1ccnc2c(-c3ccn(-c4cccc(Cl)c4)n3)cnn12; [None]; [None]; [0]
+Cc1cc(-c2cnn3c(N)ccnc23)nc(N)n1; [None]; [None]; [0]
+Nc1ccnc2c(Cc3nc4c(F)c(F)ccc4[nH]3)cnn12; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cnn4c(N)ccnc34)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999997615814209, 0.9999995231628418, 0.999983549118042]
+Nc1ccnc2c(-c3ncc(Br)cn3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(Cc3nc4ccccc4[nH]3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(F)cc3Cl)cnn12; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [1.0, 1.0, 0.9999992847442627, 0.9999924898147583, 0.9996764659881592]
+Nc1ccnc2c(-c3ccc4c(c3)CCC(=O)N4)cnn12; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999994039535522, 0.9999938011169434, 0.9986106157302856]
+COc1ccc(-c2cnn3c(N)ccnc23)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 0.9999997615814209, 0.9999985694885254, 0.9999970197677612, 0.9999687075614929, 0.9998455047607422]
+CCc1ccc(-c2cnn3c(N)ccnc23)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.999999463558197, 0.9999984502792358, 0.999991774559021, 0.9999711513519287, 0.9987908601760864, 0.9919155836105347]
+Nc1ccnc2c(-c3ccc(Cl)cc3Cl)cnn12; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl']; [1.0, 1.0, 0.9999986290931702, 0.9999963641166687, 0.9996163845062256]
+CC[C@@H](CO)c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ccnc2c([C@H](CO)Cc3ccccc3)cnn12; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
+Cn1cc(-c2cnn3c(N)ccnc23)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 1.0, 0.9999998211860657]
+Nc1ccnc2c(-c3cc4ccccn4n3)cnn12; [None]; [None]; [0]
+COc1cc(-c2cnn3c(N)ccnc23)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [1.0, 1.0, 0.9999974966049194]
+Nc1ccnc2c(CCCn3cncn3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ncc(Cl)cn3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ncc4cccn4n3)cnn12; [None]; [None]; [0]
+COc1ccc2cccc(-c3cnn4c(N)ccnc34)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cnn3c(N)ccnc23)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [1.0, 1.0, 0.9999995231628418, 0.9999989867210388, 0.9999709129333496]
+Nc1ccnc2c(-c3cccc4ccc(O)cc34)cnn12; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1ccnc2c(Br)cnn12']; [1.0]
+Cc1csc2c(-c3cnn4c(N)ccnc34)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; [1.0, 1.0, 0.9999997615814209, 0.999999463558197]
+COc1cc(-c2cnn3c(N)ccnc23)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.9999997615814209, 0.9999992251396179, 0.9999492168426514, 0.9996368288993835]
+CCNC(=O)N1CCC(c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
 Nc1cc(-c2cnn3c(N)ccnc23)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cnn4c(N)ccnc34)ccc2O1; [None]; [None]; [0]
+COc1cc(-c2cnn3c(N)ccnc23)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1ccc(OC)c(Br)c1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2ccnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9998131990432739, 0.996002733707428, 0.9914611577987671, 0.9780975580215454, 0.9491605162620544]
+COc1ccc(OC)c(Cc2cnn3c(N)ccnc23)c1; ['COc1ccc(OC)c(CCl)c1', 'COc1ccc(OC)c(C[Zn]Cl)c1', 'COc1ccc(OC)c(CCl)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2ccnn12']; [0.9999017119407654, 0.9996638894081116, 0.9938748478889465]
+CCNC(=O)c1ccc(-c2cnn3c(N)ccnc23)nc1; [None]; [None]; [0]
 Nc1ccnc2c(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cnn12; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnn3c(N)ccnc23)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999996423721313, 0.9999995231628418, 0.9999990463256836, 0.9999988079071045, 0.9999504089355469, 0.9853650331497192]
+Nc1ccnc2c(-c3ccc4cn[nH]c4c3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 0.9999997615814209]
+COc1cc(CS(C)(=O)=O)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnn3c(N)ccnc23)CC1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cnn3c(N)ccnc13)cn2C; [None]; [None]; [0]
+Nc1ccnc2c(-c3cc4ccccc4o3)cnn12; ['Nc1ccnc2c(Br)cnn12']; ['OB(O)c1cc2ccccc2o1']; [0.999963641166687]
+CNC(=O)c1ccc(OC)c(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
+Nc1ccnc2c(-c3ncc4sccc4n3)cnn12; [None]; [None]; [0]
+COc1ccc2oc(-c3cnn4c(N)ccnc34)cc2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cnn2c(N)ccnc12; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0]
+C[NH+](C)Cc1ccc(-c2cnn3c(N)ccnc23)cc1; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(OC(F)(F)F)cc3)cnn12; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1ccnc2c(Cl)cnn12', 'FC(F)(F)Oc1ccc(Br)cc1']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 1.0, 1.0, 0.9999982118606567, 0.9999963641166687]
+Nc1ccnc2c(-c3cc(-c4cccnc4)ccn3)cnn12; [None]; [None]; [0]
+COc1ccc2nc(-c3cnn4c(N)ccnc34)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cnn4c(N)ccnc34)[nH]c2c1; [None]; [None]; [0]
-Nc1ccnc2c(-c3ncn4c3CCCC4)cnn12; [None]; [None]; [0]
-Nc1ccnc2c(NC(=O)c3cccc(OC(F)(F)F)c3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(-c3cccc(NC(=O)N4CCCC4)c3)cnn12; [None]; [None]; [0]
+CCc1cccc(-c2cnn3c(N)ccnc23)n1; ['CCc1cccc(Br)n1']; ['Nc1ccnc2c(Br)cnn12']; [0.99082350730896]
+Nc1ccnc2c(-c3ncn4c3CCCC4)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; ['c1ncn2c1CCCC2', 'c1ncn2c1CCCC2']; [0.9809199571609497, 0.954444944858551]
 CC(=O)N1CCC(n2cc(-c3cnn4c(N)ccnc34)cn2)CC1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cnn4c(N)ccnc34)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cnn4c(N)ccnc34)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [1.0, 1.0, 1.0, 1.0, 0.999987006187439]
+Nc1ccnc2c(NC(=O)c3cccc(OC(F)(F)F)c3)cnn12; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cnn4c(N)ccnc34)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnn3c(N)ccnc23)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999997615814209, 0.9999994039535522, 0.9999982118606567, 0.9999961853027344, 0.9999095797538757, 0.9936641454696655]
+Nc1ccnc2c(-c3cccc(N4CCCC4=O)c3)cnn12; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999996423721313, 0.9999995231628418, 0.9999986886978149, 0.9912575483322144]
+Cn1nc(Cl)c2cc(-c3cnn4c(N)ccnc34)ccc21; [None]; [None]; [0]
+Cc1cc(-c2cnn3c(N)ccnc23)cc(C)c1OCCO; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(CCO)cc3)cnn12; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Br)cc1']; [0.9999992251396179, 0.9999987483024597, 0.999996542930603, 0.9999951124191284, 0.9994555711746216, 0.9785162806510925]
+CNC(=O)c1ccc(-c2cnn3c(N)ccnc23)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999916553497314, 0.9999836683273315]
 COc1cc(S(C)(=O)=O)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnn3c(N)ccnc23)c(Cl)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnn3c(N)ccnc23)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.9999989867210388, 0.999992847442627]
+COc1cc(-c2cnn(C)c2)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cnn3c(N)ccnc23)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1ccnc2c(Br)cnn12']; [0.9994610548019409]
+CN(C)C(=O)c1ccc(-c2cnn3c(N)ccnc23)nc1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3cnn4c(N)ccnc34)cc2)n1C; [None]; [None]; [0]
 Cn1nc(-c2cnn3c(N)ccnc23)cc1C(C)(C)O; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ccnc2c(-c3n[nH]c4ccccc34)cnn12; ['Brc1n[nH]c2ccccc12']; ['Nc1ccnc2c(Br)cnn12']; [0.9998816847801208]
+Nc1ccnc2c(Oc3ccc(F)cc3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9999719858169556, 0.9998035430908203]
+Nc1ccnc2c(-c3ccc(Cl)c(O)c3)cnn12; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999986886978149, 0.9999982118606567]
+Nc1ccnc2c(-c3c(Cl)ccc4c3OCO4)cnn12; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2']; [0.9999957084655762, 0.9999926090240479, 0.9985106587409973]
+NC(=O)c1ccc(-c2cnn3c(N)ccnc23)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999988675117493, 0.9999932050704956, 0.9999552965164185, 0.9999417066574097, 0.9984228014945984]
+C[C@H](CS(C)(=O)=O)c1cnn2c(N)ccnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
+Nc1ccnc2c(-c3cccc4ncccc34)cnn12; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cnn2c(N)ccnc12; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999983310699463, 0.9999962449073792, 0.9978286623954773]
+Nc1ccnc2c(-c3ccc(O)cc3Cl)cnn12; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'OB(O)c1ccc(O)cc1Cl']; [0.9999995231628418, 0.9999902248382568]
+Nc1ccnc2c(-c3ccc(O)cc3F)cnn12; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1ccc(O)cc1F']; [0.999993085861206, 0.999967634677887, 0.9999521970748901]
+COc1ccc(F)cc1-c1cnn2c(N)ccnc12; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [1.0, 0.9999997615814209, 0.9999994039535522, 0.9999964237213135, 0.9999554753303528, 0.9999223947525024]
+COc1cc(F)ccc1-c1cnn2c(N)ccnc12; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B(O)O']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999997615814209, 0.9999995231628418, 0.9999960660934448, 0.9999958872795105, 0.9999121427536011, 0.9997316002845764]
+Nc1ccnc2c(-c3ccc(O)c(F)c3)cnn12; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'OB(O)c1ccc(O)c(F)c1']; [0.9999996423721313, 0.9999904632568359]
+COC(=O)c1ccc(-c2cnn3c(N)ccnc23)o1; ['COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(B(O)O)o1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999315738677979, 0.9932683110237122]
+Nc1ccnc2c(-c3cn[nH]c3Cl)cnn12; [None]; [None]; [0]
 Nc1ccnc2c(-c3ccc(-c4ccc(O)cc4O)cc3)cnn12; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cnn3c(N)ccnc23)c1; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [1.0, 0.9999998211860657, 0.9999279379844666, 0.9999058246612549, 0.9932839870452881]
+COc1cc(CCc2cnn3c(N)ccnc23)ccc1O; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(O)cc3O)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(COc3ccccc3Cl)cnn12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnn4c(N)ccnc34)cc2[nH]1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cnn2c(N)ccnc12; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.9999972581863403, 0.9999969005584717, 0.9999943971633911]
+Nc1cc(-c2cnn3c(N)ccnc23)ccn1; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(F)c(Cl)c3)cnn12; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Fc1ccc(Br)cc1Cl']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 1.0, 0.9999997615814209, 0.9999641180038452, 0.9994141459465027]
+NC(=O)c1cc(-c2cnn3c(N)ccnc23)c[nH]1; [None]; [None]; [0]
+Nc1ccnc2c(-c3cnc(O)c(Cl)c3)cnn12; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999991655349731, 0.9999989867210388]
+Nc1ccnc2c(-c3cc(O)ccc3Cl)cnn12; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cnn2c(N)ccnc12; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Br']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999996423721313, 0.9999967813491821, 0.9999964237213135, 0.9999122619628906, 0.9985589385032654, 0.9978328347206116, 0.9926036596298218]
+Nc1ccnc2c(-c3[nH]cnc3-c3ccc(F)cc3)cnn12; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnn4c(N)ccnc34)cc2[nH]1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 0.9999997615814209]
+Nc1ccnc2c(-c3ccc4c(c3)CC(=O)N4)cnn12; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; ['O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; [0.9999994039535522, 0.9999992847442627, 0.9999992251396179, 0.9999963045120239]
+NC(=O)Nc1ccc(-c2cnn3c(N)ccnc23)cc1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; [1.0, 1.0]
+Nc1ccnc2c(-c3cncc(O)c3)cnn12; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1']; [0.9999986886978149, 0.9999967813491821, 0.9999769926071167, 0.9996799230575562, 0.9772505760192871]
+CNc1nccc(-c2cnn3c(N)ccnc23)n1; ['CNc1nccc(Cl)n1']; ['Nc1ccnc2c(Br)cnn12']; [0.9992483258247375]
+CCOc1cccc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cnn4c(N)ccnc34)ccc12; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cnn2c(N)ccnc12; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ccnc2c(Br)cnn12']; [0.9999979734420776]
+Cc1cc(O)ccc1-c1cnn2c(N)ccnc12; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999972581863403, 0.9999945163726807, 0.9999834299087524]
+Nc1ccnc2c(-c3ccncc3Cl)cnn12; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1ccncc1Cl', 'OB(O)c1ccncc1Cl', 'OB(O)c1ccncc1Cl']; [0.9999973177909851, 0.9999955892562866, 0.9999171495437622, 0.9999027848243713, 0.9891905784606934]
 Cc1n[nH]c2cc(N(C)c3cnn4c(N)ccnc34)ccc12; [None]; [None]; [0]
+CCc1sccc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnn3c(N)ccnc23)c1C; [None]; [None]; [0]
+Nc1ccnc2c(-c3cc(Cl)c(O)c(Cl)c3)cnn12; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9999990463256836, 0.9999971389770508, 0.9998742938041687]
+Nc1ccnc2c(-c3cc(C(F)F)n[nH]3)cnn12; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc4c(c3)CCN4)cnn12; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C']; ['Nc1ccnc2c(Br)cnn12', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'Nc1ccnc2c(I)cnn12']; [1.0, 0.9999982118606567, 0.9999979734420776, 0.9999977946281433]
+CCc1cc(O)c(F)cc1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc4[nH]c(=O)[nH]c4c3)cnn12; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Nc1ccnc2c(I)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'Nc1ccnc2c(I)cnn12', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1']; [0.9999997615814209, 0.9999996423721313, 0.9999995231628418, 0.9999994039535522]
+CNc1nc(-c2cnn3c(N)ccnc23)ncc1F; [None]; [None]; [0]
 Nc1ccnc2c(-c3cc(O)n4nccc4n3)cnn12; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc(Br)cc3F)cnn12; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Fc1cc(Br)ccc1Br', 'Nc1ccnc2c(Cl)cnn12', 'Fc1cc(Br)ccc1Br']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F', 'Nc1ccnc2ccnn12', 'OB(O)c1ccc(Br)cc1F', 'Nc1ccnc2c(Br)cnn12']; [0.9999977350234985, 0.9999960660934448, 0.9999939203262329, 0.9998704791069031, 0.9991917610168457, 0.9988466501235962, 0.9973124265670776]
+Nc1ccnc2c(-c3ccc(C(=O)NC4CC4)cc3)cnn12; ['Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['O=C(NC1CC1)c1ccc(B(O)O)cc1', 'Nc1ccnc2c(Br)cnn12', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [1.0, 1.0, 1.0, 0.9999955296516418]
+Nc1ccnc2c(-c3cc(O)cc(Br)c3)cnn12; ['Nc1ccnc2c(I)cnn12', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Nc1ccnc2c(Br)cnn12', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; ['OB(O)c1cc(O)cc(Br)c1', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1cc(O)cc(Br)c1', 'Nc1ccnc2c(Br)cnn12', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1']; [0.9999997615814209, 0.9999922513961792, 0.999984860420227, 0.9999614953994751, 0.9998009204864502, 0.9956024885177612]
+Cc1cc(-c2cnn3c(N)ccnc23)ccc1C(N)=O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12']; [1.0, 1.0]
 Cc1oc(-c2cnn3c(N)ccnc23)cc1C(=O)[O-]; [None]; [None]; [0]
+Cc1cc(-c2cnn3c(N)ccnc23)cc(C)c1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; [0.9999995231628418, 0.9999994039535522, 0.9999891519546509, 0.999952495098114]
+Cc1nc2ccc(-c3cnn4c(N)ccnc34)cc2o1; ['Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(Br)cnn12']; [1.0, 1.0, 1.0, 1.0, 0.9999996423721313, 0.995085597038269]
+Nc1ccnc2c(-c3[nH]nc4ccc(F)cc34)cnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnn2c(N)ccnc12; [None]; [None]; [0]
+CN(c1cccc2[nH]ncc12)c1cnn2c(N)ccnc12; [None]; [None]; [0]
+Nc1ccnc2c(-c3cc(F)c(O)c(F)c3)cnn12; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1']; [0.9999991059303284, 0.9999983906745911, 0.9999948740005493, 0.9999646544456482]
+Nc1ccnc2c(Oc3ccc(F)cc3F)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999909996986389, 0.9999397993087769]
+CSc1cccc(-c2cnn3c(N)ccnc23)c1; [None]; [None]; [0]
+Nc1ccnc2c(-c3ccc4c(=O)[nH][nH]c4c3)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(CCc3c[nH]c4ccccc34)cnn12; [None]; [None]; [0]
+Nc1ccnc2c(OCc3cccc4ccccc34)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12', 'Nc1ccnc2c(I)cnn12']; ['OCc1cccc2ccccc12', 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0.9930096864700317, 0.965622067451477, 0.9639970064163208]
+Cc1onc(-c2ccccc2)c1-c1cnn2c(N)ccnc12; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O']; ['Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [0.9999997615814209, 0.9999992251396179, 0.9999881386756897]
+Nc1ccnc2c(OCc3ccc(F)cc3F)cnn12; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; ['OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F']; [0.9999793171882629, 0.9999629259109497, 0.9997216463088989]
+CCOc1ccccc1-c1ncnc2[nH]cnc12; ['Brc1ncnc2[nH]cnc12', 'CCOc1ccccc1B(O)O']; ['CCOc1ccccc1B(O)O', 'Clc1ncnc2[nH]cnc12']; [0.9967851042747498, 0.9963754415512085]
+Nc1ccnc2c(NCc3c(F)cccc3Cl)cnn12; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; ['Nc1ccnc2c(Br)cnn12', 'Nc1ccnc2c(I)cnn12', 'Nc1ccnc2c(Cl)cnn12']; [1.0, 1.0, 0.9999892711639404]
+CNC(=O)c1ccccc1-c1ncnc2[nH]cnc12; ['CNC(=O)c1ccccc1B(O)O', 'Brc1ncnc2[nH]cnc12']; ['Clc1ncnc2[nH]cnc12', 'CNC(=O)c1ccccc1B(O)O']; [0.9915010929107666, 0.9914373159408569]
+CC(C)S(=O)(=O)c1ccccc1-c1ncnc2[nH]cnc12; ['Brc1ncnc2[nH]cnc12', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Clc1ncnc2[nH]cnc12']; [0.9993680715560913, 0.9983235597610474]
 Nc1ccnc2c(-c3ocnc3-c3ccc(F)cc3)cnn12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ncnc3[nH]cnc23)[nH]1; [None]; [None]; [0]
+c1ccc2c(-c3ncnc4[nH]cnc34)ccnc2c1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.9923958778381348, 0.9898360967636108]
+Nc1ccnc2c(-c3cn[nH]c3-c3ccc(Cl)cc3)cnn12; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ncnc3[nH]cnc23)c1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999624490737915, 0.9986259937286377]
+FC(F)(F)Oc1ccccc1-c1ncnc2[nH]cnc12; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999022901058197, 0.997779130935669]
+CCn1cc(-c2ncnc3[nH]cnc23)cn1; ['Brc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['CCn1cc(B(O)O)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Clc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; [0.9975799918174744, 0.9971883296966553, 0.9964412450790405, 0.9922264814376831]
+Nc1ccnc2c(CCc3ccc(F)cc3F)cnn12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ncnc2[nH]cnc12; ['Brc1ncnc2[nH]cnc12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Clc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Clc1ncnc2[nH]cnc12', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O']; [0.9991851449012756, 0.9976865649223328, 0.9718723893165588, 0.9315145611763]
+COC(C)(C)CCc1ncnc2[nH]cnc12; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ncnc4[nH]cnc34)cn2)cc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12']; ['Clc1ncnc2[nH]cnc12', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9997904300689697, 0.999494194984436, 0.9994625449180603, 0.9991950988769531]
+Cn1cnc2ccc(-c3ncnc4[nH]cnc34)cc2c1=O; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2ncnc3[nH]cnc23)c1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9966385960578918, 0.9835103750228882]
+Cc1ccc(-c2ncnc3[nH]cnc23)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Brc1ncnc2[nH]cnc12']; ['Clc1ncnc2[nH]cnc12', 'Cc1ccc(B(O)O)c(Br)c1']; [0.94864821434021, 0.8632153272628784]
+OCCn1cc(-c2ncnc3[nH]cnc23)cn1; ['Clc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Brc1ncnc2[nH]cnc12']; ['OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'Clc1ncnc2[nH]cnc12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; [0.997918426990509, 0.9923039674758911, 0.9922251105308533, 0.9745584726333618]
+O=C(Nc1cccc(-c2ncnc3[nH]cnc23)c1)c1ccccc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ncnc3[nH]cnc23)s1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3ncnc4[nH]cnc34)[nH]2)cc1; [None]; [None]; [0]
+COc1cnc(-c2ncnc3[nH]cnc23)nc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+CNc1nc(C)c(-c2ncnc3[nH]cnc23)s1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ncnc3[nH]cnc23)cs1; [None]; [None]; [0]
+CC(C)C(=O)COc1ncnc2[nH]cnc12; [None]; [None]; [0]
+Brc1cccc(-c2ncnc3[nH]cnc23)c1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1']; [0.9995502233505249, 0.996620774269104]
+Clc1cccc(Cl)c1-c1ncnc2[nH]cnc12; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9269866943359375, 0.8525816202163696]
+c1ccn2c(-c3ncnc4[nH]cnc34)cnc2c1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ncnc3[nH]cnc23)c1; ['Brc1ncnc2[nH]cnc12', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(B(O)O)c1', 'Clc1ncnc2[nH]cnc12']; [0.9781688451766968, 0.970230221748352]
+c1cncc(CNc2ncnc3[nH]cnc23)c1; ['Clc1ncnc2nc[nH]c12', 'Clc1ncnc2[nH]cnc12', 'Brc1ncnc2nc[nH]c12', 'CSc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12', 'NCc1cccnc1']; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'O=c1[nH]cnc2[nH]cnc12']; [0.9999901056289673, 0.9999791979789734, 0.999907374382019, 0.9990307092666626, 0.9986538887023926, 0.9982514977455139]
+c1ccc2cc(-c3ncnc4[nH]cnc34)ccc2c1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1']; [0.9999682903289795, 0.9993232488632202]
+c1cncc(Nc2ncnc3[nH]cnc23)c1; ['Clc1ncnc2[nH]cnc12']; ['Nc1cccnc1']; [0.9875390529632568]
+c1ccc2c(c1)ncn2-c1ncnc2[nH]cnc12; ['Clc1ncnc2[nH]cnc12']; ['c1ccc2[nH]cnc2c1']; [0.9996910095214844]
+c1cnn2ncc(-c3ncnc4[nH]cnc34)c2c1; ['Brc1ncnc2[nH]cnc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Clc1ncnc2[nH]cnc12']; [0.9988537430763245, 0.9974822998046875]
+c1nc(NCCc2c[nH]cn2)c2nc[nH]c2n1; ['Clc1ncnc2[nH]cnc12', 'Clc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'Brc1ncnc2[nH]cnc12']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9988390207290649, 0.9988036155700684, 0.9985659122467041, 0.9865788221359253]
+O=C(Nc1ncnc2[nH]cnc12)c1cccs1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12', 'Nc1ncnc2[nH]cnc12', 'CSc1ncnc2[nH]cnc12', 'Nc1ncnc2[nH]cnc12']; ['NC(=O)c1cccs1', 'NC(=O)c1cccs1', 'O=C(Cl)c1cccs1', 'NC(=O)c1cccs1', 'O=C(O)c1cccs1']; [0.9978538155555725, 0.9976311922073364, 0.9928186535835266, 0.9719154834747314, 0.9626922011375427]
 Cc1c(-c2ncnc3[nH]cnc23)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(-c3ncnc4[nH]cnc34)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ncnc3[nH]cnc23)o1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1ncnc2[nH]cnc12; ['Brc1ncnc2[nH]cnc12', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Clc1ncnc2[nH]cnc12']; [0.9989821910858154, 0.9956190586090088]
+c1cnn2c(-c3ncnc4[nH]cnc34)cnc2c1; [None]; [None]; [0]
+Nc1nccc(-c2ncnc3[nH]cnc23)n1; [None]; [None]; [0]
+c1ccc2c(-c3ncnc4[nH]cnc34)cncc2c1; ['Clc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12']; ['OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; [0.9933494329452515, 0.9805196523666382]
+c1ccc(CCNc2ncnc3[nH]cnc23)cc1; ['Clc1ncnc2nc[nH]c12', 'Brc1ncnc2nc[nH]c12', 'Clc1ncnc2[nH]cnc12', 'NCCc1ccccc1', 'Brc1ncnc2[nH]cnc12']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'O=c1[nH]cnc2[nH]cnc12', 'NCCc1ccccc1']; [0.9997485876083374, 0.9988692998886108, 0.9988042116165161, 0.9974592924118042, 0.9862403869628906]
+NC(=O)c1c(F)cccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+c1cc(Cn2cncn2)cc(-c2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ncnc4[nH]cnc34)cc2)cn1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [0.9999995231628418, 0.999992847442627]
+Clc1ccc(CNc2ncnc3[nH]cnc23)cc1; ['NCc1ccc(Cl)cc1', 'Brc1ncnc2nc[nH]c12', 'Clc1ncnc2[nH]cnc12', 'Clc1ncnc2nc[nH]c12', 'Brc1ncnc2[nH]cnc12', 'CSc1ncnc2[nH]cnc12']; ['O=c1[nH]cnc2[nH]cnc12', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9999575614929199, 0.9999541640281677, 0.9999359250068665, 0.9999143481254578, 0.9995256066322327, 0.9989707469940186]
+Nc1[nH]nc2cc(-c3ncnc4[nH]cnc34)ccc12; [None]; [None]; [0]
+Cn1ncc2cc(-c3ncnc4[nH]cnc34)ccc21; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; [0.9999987483024597, 0.9999330043792725]
+c1nc(-c2ccc(-c3cn[nH]c3)cc2)c2nc[nH]c2n1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['Clc1ncnc2[nH]cnc12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999923706054688, 0.9999892711639404, 0.9999070167541504]
+O=C([O-])Cc1cccc(-c2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
+c1cc(Nc2ncnc3[nH]cnc23)ccn1; ['Clc1ncnc2[nH]cnc12']; ['Nc1ccncc1']; [0.999539315700531]
+Oc1cccc(-c2ncnc3[nH]cnc23)c1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12']; ['OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; [0.9995403289794922, 0.9931601881980896, 0.9667004346847534]
+Fc1ccccc1CNc1ncnc2[nH]cnc12; ['Brc1ncnc2nc[nH]c12', 'Clc1ncnc2[nH]cnc12', 'Clc1ncnc2nc[nH]c12', 'NCc1ccccc1F', 'Brc1ncnc2[nH]cnc12']; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'O=c1[nH]cnc2[nH]cnc12', 'NCc1ccccc1F']; [0.9999712705612183, 0.9999428391456604, 0.9999308586120605, 0.9998962879180908, 0.999557375907898]
+OCc1cccc(-c2ncnc3[nH]cnc23)c1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1']; [0.9967893362045288, 0.9866559505462646]
+c1nc(-c2csc3ncncc23)c2nc[nH]c2n1; [None]; [None]; [0]
+CCCn1cnc(-c2ncnc3[nH]cnc23)n1; [None]; [None]; [0]
 CN1c2ccc(-c3ncnc4[nH]cnc34)cc2CS1(=O)=O; [None]; [None]; [0]
+N#CCCc1cccc(-c2ncnc3[nH]cnc23)c1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; [0.9999550580978394, 0.9997729063034058]
 COc1cc(-c2ncnc3[nH]cnc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+CSc1nc(-c2ncnc3[nH]cnc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
 CC(C)n1cc(-c2ncnc3[nH]cnc23)nn1; [None]; [None]; [0]
+Nc1ncncc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ncnc3[nH]cnc23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1ncnc2[nH]cnc12']; [0.999901294708252]
 c1nc(CCc2c[nH]nn2)c2nc[nH]c2n1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ncnc2[nH]cnc12; [None]; [None]; [0]
-O=C(Nc1ncnc2[nH]cnc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2ncnc3[nH]cnc23)c(C(F)(F)F)c1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9991022348403931, 0.9976934194564819]
+CC(=O)Nc1cccc(-c2ncnc3[nH]cnc23)c1; ['Brc1ncnc2[nH]cnc12', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['CC(=O)Nc1cccc(B(O)O)c1', 'Clc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; [0.9997868537902832, 0.9977453947067261, 0.9967164993286133]
+O=C(Nc1ncnc2[nH]cnc12)c1c(Cl)cccc1Cl; ['Clc1ncnc2[nH]cnc12', 'Nc1ncnc2[nH]cnc12', 'Nc1ncnc2[nH]cnc12']; ['NC(=O)c1c(Cl)cccc1Cl', 'O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.9894465804100037, 0.9842723608016968, 0.9581085443496704]
+c1ccc(Oc2ncnc3[nH]cnc23)nc1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ncnc4[nH]cnc34)cc2c1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ncnc3[nH]cnc23)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'Brc1ncnc2[nH]cnc12']; ['Clc1ncnc2nc[nH]c12', 'Clc1ncnc2[nH]cnc12', 'CS(=O)(=O)C1CCNCC1']; [0.999836266040802, 0.9985778331756592, 0.9908448457717896]
+Cn1cc(-c2ncnc3[nH]cnc23)c2ccccc21; [None]; [None]; [0]
+COc1ccc(-c2ncnc3[nH]cnc23)cc1Cl; ['Brc1ncnc2[nH]cnc12', 'COc1ccc(B(O)O)cc1Cl']; ['COc1ccc(B(O)O)cc1Cl', 'Clc1ncnc2[nH]cnc12']; [0.9999460577964783, 0.9986186027526855]
+Nc1nc(-c2ncnc3[nH]cnc23)cs1; [None]; [None]; [0]
+NC(=O)CCCc1ncnc2[nH]cnc12; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ncnc4[nH]cnc34)cc2s1; [None]; [None]; [0]
+c1ccn2ncc(-c3ncnc4[nH]cnc34)c2c1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; [0.9669293761253357, 0.9562162160873413]
 CC(C)(COc1ncnc2[nH]cnc12)S(C)(=O)=O; [None]; [None]; [0]
+CCCn1cc(-c2ncnc3[nH]cnc23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1ncnc2[nH]cnc12', 'CCCn1cc(B(O)O)cn1', 'Brc1ncnc2[nH]cnc12']; ['Clc1ncnc2[nH]cnc12', 'CCCn1cc(B(O)O)cn1', 'Clc1ncnc2[nH]cnc12', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.9984033107757568, 0.9982885122299194, 0.9981520175933838, 0.9976757168769836]
+CC(C)(N)c1ccc(-c2ncnc3[nH]cnc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ncnc3[nH]cnc23)cc1; ['Brc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12', 'CS(=O)c1ccc(B(O)O)cc1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2[nH]cnc12']; [0.9999464750289917, 0.9997727870941162, 0.9926002025604248]
+O=c1cc(-c2ncnc3[nH]cnc23)cc[nH]1; ['Brc1ncnc2[nH]cnc12', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Clc1ncnc2[nH]cnc12']; [0.9998049139976501, 0.9985939264297485]
+CCN(CC)c1ncnc2[nH]cnc12; ['CCNCC', 'CCNCC', 'CCNCC']; ['Clc1ncnc2nc[nH]c12', 'Clc1ncnc2[nH]cnc12', 'O=c1[nH]cnc2[nH]cnc12']; [0.9891810417175293, 0.9485961198806763, 0.922519862651825]
+C[C@@H](Oc1ncnc2[nH]cnc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'Brc1ncnc2[nH]cnc12']; ['Clc1ncnc2[nH]cnc12', 'C[C@@H](O)c1c(Cl)cncc1Cl']; [0.996310830116272, 0.9896386861801147]
+O=C1CCc2cccc(-c3ncnc4[nH]cnc34)c21; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ncnc2[nH]cnc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ncnc3[nH]cnc23)cc1; ['Brc1ncnc2[nH]cnc12', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['CC(C)(C)c1ccc(B(O)O)cc1', 'Clc1ncnc2[nH]cnc12']; [0.9998114109039307, 0.9989964962005615]
+O=c1[nH]ccc2oc(-c3ncnc4[nH]cnc34)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1ncnc2[nH]cnc12; ['COc1ccncc1N']; ['Clc1ncnc2[nH]cnc12']; [0.9999212026596069]
+COc1cc(CCc2ncnc3[nH]cnc23)cc(OC)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ncnc3[nH]cnc23)c1; ['Brc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12', 'CC(C)Oc1cncc(B(O)O)c1']; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'Clc1ncnc2[nH]cnc12']; [0.9999873042106628, 0.9999678134918213, 0.9996763467788696]
+c1ccc(-c2ccncc2Nc2ncnc3[nH]cnc23)cc1; ['Clc1ncnc2[nH]cnc12']; ['Nc1cnccc1-c1ccccc1']; [0.9999647736549377]
+c1ccc2ncc(Nc3ncnc4[nH]cnc34)cc2c1; ['Clc1ncnc2[nH]cnc12']; ['Nc1cnc2ccccc2c1']; [0.9992275238037109]
+COc1cccc(F)c1-c1ncnc2[nH]cnc12; ['Brc1ncnc2[nH]cnc12', 'COc1cccc(F)c1B(O)O']; ['COc1cccc(F)c1B(O)O', 'Clc1ncnc2[nH]cnc12']; [0.9945837259292603, 0.9918774366378784]
+c1nc(-c2cnc3[nH]ccc3c2)c2nc[nH]c2n1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9998117089271545, 0.9994372725486755]
+c1cc2c(-c3ncnc4[nH]cnc34)c[nH]c2cn1; ['Clc1ncnc2[nH]cnc12']; ['OB(O)c1c[nH]c2cnccc12']; [0.9632034301757812]
 [NH3+]Cc1ccc(-c2ncnc3[nH]cnc23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ncnc2[nH]cnc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnc3[nH]cnc23)cc1; ['Brc1ncnc2[nH]cnc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2[nH]cnc12']; [0.9999641180038452, 0.9994798898696899]
+CNC(=O)c1c(F)cccc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ncnc3[nH]cnc23)cc1; ['Brc1ncnc2[nH]cnc12', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['CS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2[nH]cnc12']; [0.9997674226760864, 0.9975807666778564]
+CNS(=O)(=O)c1ccc(-c2ncnc3[nH]cnc23)cc1; ['Brc1ncnc2[nH]cnc12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ncnc2[nH]cnc12']; [0.9996902942657471, 0.9960259199142456]
+c1nc(-c2ccc(N3CCOCC3)cc2)c2nc[nH]c2n1; ['Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.9999974966049194, 0.9999178647994995]
 O=c1[nH]cc(Br)c2sc(-c3ncnc4[nH]cnc34)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2ncnc3[nH]cnc23)cc1; [None]; [None]; [0]
-CN(c1ncnc2[nH]cnc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@@H](Nc1ncnc2[nH]cnc12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'Brc1ncnc2[nH]cnc12', 'C[C@@H](N)C(C)(C)O']; ['Clc1ncnc2[nH]cnc12', 'C[C@@H](N)C(C)(C)O', 'Clc1ncnc2nc[nH]c12']; [0.9209954738616943, 0.9110873937606812, 0.8978464603424072]
+C[C@H](Nc1ncnc2[nH]cnc12)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'Brc1ncnc2[nH]cnc12', 'C[C@H](N)C(C)(C)O']; ['Clc1ncnc2[nH]cnc12', 'C[C@H](N)C(C)(C)O', 'Clc1ncnc2nc[nH]c12']; [0.9209954738616943, 0.9110873937606812, 0.8978464603424072]
 C[C@H](Nc1ncnc2[nH]cnc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CN(c1ncnc2[nH]cnc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC1(c2ncnc3[nH]cnc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1ncnc2[nH]cnc12; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['Clc1ncnc2[nH]cnc12', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl']; [0.9997016191482544, 0.9995636940002441, 0.9972522258758545]
+Cc1cc(-c2ncnc3[nH]cnc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+c1nc(-c2ccc(-n3cncn3)cc2)c2nc[nH]c2n1; [None]; [None]; [0]
+OCc1ccn(-c2ncnc3[nH]cnc23)n1; [None]; [None]; [0]
+COc1ccc(-c2ncnc3[nH]cnc23)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'Brc1ncnc2[nH]cnc12']; ['Clc1ncnc2[nH]cnc12', 'COc1ccc(B(O)O)c(OC)c1']; [0.9994522333145142, 0.9992115497589111]
+OCCc1cn(-c2ncnc3[nH]cnc23)cn1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ncnc3[nH]cnc23)cc1; ['Brc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9999823570251465, 0.9999521374702454, 0.9983844757080078]
+c1ccc2c(c1)cnn2-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+Oc1ccc2nc(-c3ncnc4[nH]cnc34)[nH]c2c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+CSc1nc(C)c(-c2ncnc3[nH]cnc23)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ncnc3[nH]cnc23)CC1; [None]; [None]; [0]
+c1nc(-c2nncn2C2CC2)c2nc[nH]c2n1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ncnc3[nH]cnc23)n1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
+O=S(=O)(Cc1ncnc2[nH]cnc12)NCc1ccccn1; [None]; [None]; [0]
+O=C(CCc1ncnc2[nH]cnc12)NCc1ccccn1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ncnc5[nH]cnc45)n3n2)cc1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ncnc4[nH]cnc34)nn2)cc1; [None]; [None]; [0]
+Nc1nnc(-c2ncnc3[nH]cnc23)s1; [None]; [None]; [0]
+CCCCc1cc(-c2ncnc3[nH]cnc23)nc(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncnc3[nH]cnc23)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ncnc2[nH]cnc12; [None]; [None]; [0]
-O=S(=O)(Cc1ncnc2[nH]cnc12)NCc1ccccn1; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2ncnc3[nH]cnc23)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3ncnc4[nH]cnc34)nc2NC1=O; [None]; [None]; [0]
+CCc1cc(-c2ncnc3[nH]cnc23)nc(N)n1; [None]; [None]; [0]
+c1ccc2sc(-c3ncnc4[nH]cnc34)nc2c1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncnc4[nH]cnc34)c2)cc1; [None]; [None]; [0]
-c1cc(-c2ncnc3[nH]cnc23)c2snnc2c1; [None]; [None]; [0]
-COc1ccc(Oc2ncnc3[nH]cnc23)c(F)c1F; [None]; [None]; [0]
 CC(C)(O)c1cccc(-c2ncnc3[nH]cnc23)n1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2ncnc3[nH]cnc23)c1)C1CCNCC1; [None]; [None]; [0]
+c1cc(-c2ncnc3[nH]cnc23)c2sccc2c1; ['Brc1ncnc2[nH]cnc12', 'Brc1ncnc2[nH]cnc12', 'Clc1ncnc2[nH]cnc12']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999692440032959, 0.997602105140686, 0.9701766967773438]
+[NH3+]Cc1ccc(Oc2ncnc3[nH]cnc23)c(F)c1; [None]; [None]; [0]
+c1cc(-c2ncnc3[nH]cnc23)c2snnc2c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ncnc3[nH]cnc23)CC1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3ncnc4[nH]cnc34)nc2NC1=O; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ncnc2[nH]cnc12; ['COc1ccc(C#N)cc1B(O)O']; ['Clc1ncnc2[nH]cnc12']; [0.9969007968902588]
+Nc1nc(-c2ncnc3[nH]cnc23)nc2ccccc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ncnc3[nH]cnc23)[nH]1; [None]; [None]; [0]
+c1ccc2nc(-c3ncnc4[nH]cnc34)ncc2c1; [None]; [None]; [0]
+COc1ccc(Oc2ncnc3[nH]cnc23)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Clc1ncnc2[nH]cnc12']; [0.9964499473571777]
+Nc1cncc(-c2ncnc3[nH]cnc23)n1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ncnc3[nH]cnc23)c1; ['Brc1ncnc2[nH]cnc12', 'COc1ccc(OC)c(B(O)O)c1']; ['COc1ccc(OC)c(B(O)O)c1', 'Clc1ncnc2[nH]cnc12']; [0.9953933358192444, 0.9770642518997192]
+COc1ncccc1-c1ncnc2[nH]cnc12; ['COc1ncccc1B(O)O', 'Brc1ncnc2[nH]cnc12']; ['Clc1ncnc2[nH]cnc12', 'COc1ncccc1B(O)O']; [0.9768826365470886, 0.9723693132400513]
+c1cnc2c(-c3ncnc4[nH]cnc34)c[nH]c2c1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4ncnc5[nH]cnc45)CC3)nc2c1; ['Clc1ncnc2nc[nH]c12', 'Clc1ncnc2[nH]cnc12', 'O=c1[nH]cnc2[nH]cnc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9999293088912964, 0.9996037483215332, 0.9994204640388489]
+OCCn1cnc(-c2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
 CCOc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ncc3ccccc3n2)nc2c(Br)cnn12; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+c1nc(-c2ncc3cc[nH]c3n2)c2nc[nH]c2n1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ncnc3[nH]cnc23)C1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Clc1ncnc2[nH]cnc12']; [0.999881386756897]
+CC(=O)N(C)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ncnc3[nH]cnc23)c1; [None]; [None]; [0]
 COc1ncccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
 COc1cc(-c2cc(N)n3ncc(Br)c3n2)cc(OC)c1OC; [None]; [None]; [0]
-Nc1cc(-c2cnc3cccnn23)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cccc(O)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ncnc3[nH]cnc23)c1)C1CCNCC1; [None]; [None]; [0]
+CN(C)c1cc(-c2ncnc3[nH]cnc23)cnn1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cc(N)n4ncc(Br)c4n3)c2c1; [None]; [None]; [0]
 COc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+Nc1cc(-c2cnc3cccnn23)nc2c(Br)cnn12; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ncnc3[nH]cnc23)CC1; [None]; [None]; [0]
 Nc1cc(-c2ccc(N3CCOCC3)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+Nc1cc(-c2ncc3ccccc3n2)nc2c(Br)cnn12; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
+Nc1cc(-c2cccc(O)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2cccc(NC(=O)C3CC3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2nc3ccccc3[nH]2)nc2c(Br)cnn12; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(N)n4ncc(Br)c4n3)cc2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc(N)n3ncc(Br)c3n2)cn1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)[O-])cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)[O-])cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(Nc2ncccn2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(Cc2nccc3ccccc23)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2nccc3ccccc23)nc2c(Br)cnn12; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cc(N)n4ncc(Br)c4n3)cn2)c1; [None]; [None]; [0]
 Nc1cc(-c2ccc(OCCO)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cccc(C3CCNCC3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(F)(F)F)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+Nc1cc(-c2cccc(C3CCNCC3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)nc2c(Br)cnn12; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CS(=O)(=O)C3)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(F)(F)F)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccc3c(c2)CS(=O)(=O)C3)nc2c(Br)cnn12; [None]; [None]; [0]
 Cc1nc(C)c(-c2cc(N)n3ncc(Br)c3n2)s1; [None]; [None]; [0]
+Nc1cc(Cc2ccccc2O)nc2c(Br)cnn12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2cc(N)n3ncc(Br)c3n2)CC1; [None]; [None]; [0]
-Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)nc2c(Br)cnn12; [None]; [None]; [0]
 CC(C)c1cc(-c2cc(N)n3ncc(Br)c3n2)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3cc(N)n4ncc(Br)c4n3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cc(N)n3ncc(Br)c3n2)nc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+Nc1ncc(Cc2cc(N)n3ncc(Br)c3n2)cn1; [None]; [None]; [0]
 Nc1cc(-c2ccc(Br)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)nc2c(Br)cnn12; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1Cl; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3cc(N)n4ncc(Br)c4n3)c2)CC1; [None]; [None]; [0]
+COc1ccc(Cc2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccccc2-n2cccn2)nc2c(Br)cnn12; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)c(C)c1; [None]; [None]; [0]
+CCCOc1ccc(-c2cc(N)n3ncc(Br)c3n2)nc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c3ccccc23)nc2c(Br)cnn12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
+Nc1cc(-c2c[nH]c3ccccc23)nc2c(Br)cnn12; ['Ic1c[nH]c2ccccc12']; ['Nc1ccnc2c(Br)cnn12']; [0.9991388320922852]
+Nc1cc(-c2ccn3nccc3n2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cccc3c2OCO3)nc2c(Br)cnn12; [None]; [None]; [0]
+COc1cc(-c2cc(N)n3ncc(Br)c3n2)ccc1O; [None]; [None]; [0]
 COc1cc(OC)c(-c2cc(N)n3ncc(Br)c3n2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cc(N)n4ncc(Br)c4n3)[nH]c2c1; [None]; [None]; [0]
 Nc1cc(-c2ccc3c(c2)CCO3)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccc3cn2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cc(-c3ccccc3)[nH]n2)nc2c(Br)cnn12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-COc1cc(-c2cc(N)n3ncc(Br)c3n2)ccc1O; [None]; [None]; [0]
-Nc1cc(-c2cccc3c2OCO3)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2scc3c2OCCO3)nc2c(Br)cnn12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
 Nc1cc(-c2cnc3ccccc3c2)nc2c(Br)cnn12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+Nc1cc(-c2cc(-c3ccccc3)[nH]n2)nc2c(Br)cnn12; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(N)n3ncc(Br)c3n2)CC1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+Nc1cc(-c2scc3c2OCCO3)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(Cc2nc3ccc(F)c(F)c3[nH]2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(Cc2nc3c(F)c(F)ccc3[nH]2)nc2c(Br)cnn12; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; ['CSc1ccc(B(O)O)cc1']; ['Nc1ccnc2c(Br)cnn12']; [0.999478280544281]
+Nc1nc(-c2cc(N)n3ncc(Br)c3n2)cs1; [None]; [None]; [0]
+Nc1cc(CCCc2ccccc2)nc2c(Br)cnn12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(N)n3ncc(Br)c3n2)CC1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3cc(N)n4ncc(Br)c4n3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)n3ncc(Br)c3n2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
-CC[C@@H](CO)c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)cc2Cl)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2ncc(Br)cn2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cc3ccccc3s2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(Cc2nc3ccccc3[nH]2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2ccn(-c3cccc(Cl)c3)n2)nc2c(Br)cnn12; [None]; [None]; [0]
+Cc1ccc(-c2cc(N)n3ncc(Br)c3n2)c(=O)[nH]1; [None]; [None]; [0]
+Nc1cc(-c2ccc3c(c2)CCC(=O)N3)nc2c(Br)cnn12; [None]; [None]; [0]
 COc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1OC; [None]; [None]; [0]
+Nc1cc(-c2ccc(F)cc2Cl)nc2c(Br)cnn12; [None]; [None]; [0]
+Cc1cc(-c2cc(N)n3ncc(Br)c3n2)nc(N)n1; [None]; [None]; [0]
 CCc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
 Nc1cc(-c2ccc(Cl)cc2Cl)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2ncc3cccn3n2)nc2c(Br)cnn12; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+Nc1cc(-c2ncc(Br)cn2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc([C@H](CO)Cc2ccccc2)nc2c(Br)cnn12; [None]; [None]; [0]
+CC[C@@H](CO)c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+Nc1cc(CCCn2cncn2)nc2c(Br)cnn12; [None]; [None]; [0]
 COc1cc(-c2cc(N)n3ncc(Br)c3n2)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccn3n2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2ncc3cccn3n2)nc2c(Br)cnn12; [None]; [None]; [0]
 Cn1cc(-c2cc(N)n3ncc(Br)c3n2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc(N)n4ncc(Br)c4n3)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cc(N)n4ncc(Br)c4n3)c2c1; [None]; [None]; [0]
 Nc1cc(-c2cccc3ccc(O)cc23)nc2c(Br)cnn12; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(N)n3ncc(Br)c3n2)cc1OC; [None]; [None]; [0]
 COc1cc(-c2cc(N)n3ncc(Br)c3n2)ccc1Cl; [None]; [None]; [0]
-Nc1cc(-c2ncc(Cl)cn2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cc3ccccn3n2)nc2c(Br)cnn12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+COc1cc(F)c(-c2cc(N)n3ncc(Br)c3n2)cc1OC; [None]; [None]; [0]
+COc1ccc2cccc(-c3cc(N)n4ncc(Br)c4n3)c2c1; [None]; [None]; [0]
+Nc1cc(-c2cnn(CCO)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 Cc1csc2c(-c3cc(N)n4ncc(Br)c4n3)ncnc12; [None]; [None]; [0]
-Nc1cc(-c2cc(N)n3ncc(Br)c3n2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2ncc(Cl)cn2)nc2c(Br)cnn12; [None]; [None]; [0]
 COc1cc(-c2cc(N)n3ncc(Br)c3n2)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc(N)n3ncc(Br)c3n2)CC1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cc(N)n4ncc(Br)c4n3)ccc2O1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2cc(N)n3ncc(Br)c3n2)CC1; [None]; [None]; [0]
-Nc1cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 COc1cc(OC)cc(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cc(N)n3ncc(Br)c3n1)cn2C; [None]; [None]; [0]
-COc1ccc2oc(-c3cc(N)n4ncc(Br)c4n3)cc2c1; [None]; [None]; [0]
+Nc1cc(-c2cc(N)n3ncc(Br)c3n2)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)nc1; [None]; [None]; [0]
 Nc1cc(-c2ccc3cn[nH]c3c2)nc2c(Br)cnn12; [None]; [None]; [0]
+CCn1cc(-c2cc(N)n3ncc(Br)c3n2)cn1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cc(N)n3ncc(Br)c3n2)CC1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+Nc1cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cc(N)n3ncc(Br)c3n1)cn2C; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+COc1ccc2oc(-c3cc(N)n4ncc(Br)c4n3)cc2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
+Nc1cc(-c2ccc(OC(F)(F)F)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2cc(-c3cccnc3)ccn2)nc2c(Br)cnn12; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 Nc1cc(-c2cc3ccccc3o2)nc2c(Br)cnn12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ncc3sccc3n2)nc2c(Br)cnn12; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 COc1ccc2nc(-c3cc(N)n4ncc(Br)c4n3)[nH]c2c1; [None]; [None]; [0]
-Nc1cc(-c2ccc(OC(F)(F)F)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
 Cn1cc(-c2cc(N)n3ncc(Br)c3n2)c2ccccc21; [None]; [None]; [0]
+Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
+Nc1cc(-c2ncc3sccc3n2)nc2c(Br)cnn12; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cc(N)n4ncc(Br)c4n3)[nH]c2c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(N)n4ncc(Br)c4n3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cn1; [None]; [None]; [0]
 CCc1cccc(-c2cc(N)n3ncc(Br)c3n2)n1; [None]; [None]; [0]
 Nc1cc(-c2ncn3c2CCCC3)nc2c(Br)cnn12; [None]; [None]; [0]
 Cc1cc(-c2cc(N)n3ncc(Br)c3n2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cn1; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3cc(N)n4ncc(Br)c4n3)ccc12; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cc(N)n4ncc(Br)c4n3)cn2)CC1; [None]; [None]; [0]
-Nc1cc(-c2cccc(N3CCCC3=O)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2ccc(CCO)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(NC(=O)c2cccc(OC(F)(F)F)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cccc(N3CCCC3=O)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cc(N)n4ncc(Br)c4n3)ccc21; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cc(N)n4ncc(Br)c4n3)cn2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)c(OC)c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)c(Cl)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cc(N)n4ncc(Br)c4n3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)c(OC)c1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 Cn1nc(-c2cc(N)n3ncc(Br)c3n2)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+CCOc1ccccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
 C[C@H](CS(C)(=O)=O)c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)nc1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-COC(C)(C)CCc1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc(N)n3ncc(Br)c3n2)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Nc1cc(Cc2cc(F)cc(F)c2)nc2c(Br)cnn12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 Nc1cc(-c2ccnc3ccccc23)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cccc(C(F)(F)F)c2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2ccccc2Br)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2ccccc2OC(F)(F)F)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2ccccc2C(=O)[O-])nc2c(Br)cnn12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+Nc1cc(-c2cccc(C(F)(F)F)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+COC(C)(C)CCc1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 Nc1cc(-c2cnn(Cc3ccccc3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(Cc2cc(F)cc(F)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cc(N)n3ncc(Br)c3n2)[nH]1; [None]; [None]; [0]
+Nc1cc(-c2ccccc2C(=O)[O-])nc2c(Br)cnn12; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+Nc1cc(-c2cccc(NC(=O)c3ccccc3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc(N)n4ncc(Br)c4n3)cc2c1=O; [None]; [None]; [0]
 Nc1cc(-c2cnc(-c3ccccc3)[nH]2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc([C@@H](N)c2ccco2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cnn(CCO)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cc(Cl)ccc2Cl)nc2c(Br)cnn12; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2cc(N)n3ncc(Br)c3n2)cs1; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)c3ccccc3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Cc1ccc(-c2cc(N)n3ncc(Br)c3n2)c(Br)c1; [None]; [None]; [0]
+Nc1cc(-c2c(Cl)cccc2Cl)nc2c(Br)cnn12; ['Nc1ccnc2c(Br)cnn12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9978978037834167]
 Nc1cc(-n2ncc3cccc(F)c3c2=O)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cccc(Br)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 COc1cnc(-c2cc(N)n3ncc(Br)c3n2)nc1; [None]; [None]; [0]
 CC(C)C(=O)COc1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)n3ncc(Br)c3n2)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 Nc1cc(-c2cnc3ccccn23)nc2c(Br)cnn12; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc(N)n3ncc(Br)c3n2)s1; [None]; [None]; [0]
-Nc1cc(-c2c(Cl)cccc2Cl)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cccc(Cn3cncn3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc(N)n3ncc(Br)c3n2)s1; [None]; [None]; [0]
 Nc1cc(NCc2cccnc2)nc2c(Br)cnn12; [None]; [None]; [0]
-Cc1c(-c2cc(N)n3ncc(Br)c3n2)sc(=O)n1C; [None]; [None]; [0]
-Nc1cc(-c2cnn3ncccc23)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1nccc(-c2cc(N)n3ncc(Br)c3n2)n1; [None]; [None]; [0]
-COc1cccc(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
 Nc1cc(-c2ccc3ccccc3c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(NCCc2c[nH]cn2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cnn3ncccc23)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(Nc2cccnc2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-n2cnc3ccccc32)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(NCCc2c[nH]cn2)nc2c(Br)cnn12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc(N)n3ncc(Br)c3n2)o1; [None]; [None]; [0]
+Nc1cc(-c2cccc(Cn3cncn3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(NCCc2ccccc2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2c[nH]nc2C(F)(F)F)nc2c(Br)cnn12; [None]; [None]; [0]
+Cc1c(-c2cc(N)n3ncc(Br)c3n2)sc(=O)n1C; [None]; [None]; [0]
+Nc1cc(-c2cncc3ccccc23)nc2c(Br)cnn12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+Nc1nccc(-c2cc(N)n3ncc(Br)c3n2)n1; [None]; [None]; [0]
 Nc1cc(-c2cccc(CC(=O)[O-])c2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(NC(=O)c2cccs2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cncc3ccccc23)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(NCCc2ccccc2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(NCc2ccc(Cl)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cccc(CO)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(Nc2ccncc2)nc2c(Br)cnn12; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cc(N)n4ncc(Br)c4n3)cc2)cn1; [None]; [None]; [0]
+Nc1cc(NCc2ccccc2F)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2ccc(-c3cn[nH]c3)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1[nH]nc2cc(-c3cc(N)n4ncc(Br)c4n3)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(N)n4ncc(Br)c4n3)ccc21; [None]; [None]; [0]
 CN1c2ccc(-c3cc(N)n4ncc(Br)c4n3)cc2CS1(=O)=O; [None]; [None]; [0]
 CCCn1cnc(-c2cc(N)n3ncc(Br)c3n2)n1; [None]; [None]; [0]
-Nc1cc(-c2cccc(CO)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 COc1cc(-c2cc(N)n3ncc(Br)c3n2)ccc1C(=O)[O-]; [None]; [None]; [0]
-Nc1cc(Nc2ccncc2)nc2c(Br)cnn12; [None]; [None]; [0]
 CC(C)n1cc(-c2cc(N)n3ncc(Br)c3n2)nn1; [None]; [None]; [0]
-CSc1nc(-c2cc(N)n3ncc(Br)c3n2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 Nc1cc(CCc2c[nH]nn2)nc2c(Br)cnn12; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+CSc1nc(-c2cc(N)n3ncc(Br)c3n2)c[nH]1; [None]; [None]; [0]
 Nc1cc(-c2csc3ncncc23)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2ccc(F)cc2C(F)(F)F)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(Oc2ccccn2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cc3ccccc3[nH]2)nc2c(Br)cnn12; [None]; [None]; [0]
 N#CCCc1cccc(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cc(N)n4ncc(Br)c4n3)cc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)cc2C(F)(F)F)nc2c(Br)cnn12; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Nc1cc(NC(=O)c2c(Cl)cccc2Cl)nc2c(Br)cnn12; [None]; [None]; [0]
 CS(=O)(=O)C1CCN(c2cc(N)n3ncc(Br)c3n2)CC1; [None]; [None]; [0]
-CC(C)(COc1cc(N)n2ncc(Br)c2n1)S(C)(=O)=O; [None]; [None]; [0]
+Nc1ncncc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 COc1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1Cl; [None]; [None]; [0]
+Nc1cc(NC(=O)c2c(Cl)cccc2Cl)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2cnn3ccccc23)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 CCCn1cc(-c2cc(N)n3ncc(Br)c3n2)cn1; [None]; [None]; [0]
+NC(=O)CCCc1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+CC(C)(COc1cc(N)n2ncc(Br)c2n1)S(C)(=O)=O; [None]; [None]; [0]
 Nc1cc(-c2cc[nH]c(=O)c2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cccc3c2C(=O)CC3)nc2c(Br)cnn12; [None]; [None]; [0]
-COc1cc(CCc2cc(N)n3ncc(Br)c3n2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+CCN(CC)c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 C[C@@H](Oc1cc(N)n2ncc(Br)c2n1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+COc1cc(CCc2cc(N)n3ncc(Br)c3n2)cc(OC)c1; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-CCN(CC)c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Nc1cc(-c2cc3c(=O)[nH]ccc3o2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cccc3c2C(=O)CC3)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 COc1ccncc1Nc1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Nc1cc(Nc2cnccc2-c2ccccc2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2cc3c(=O)[nH]ccc3o2)nc2c(Br)cnn12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 Nc1cc(Nc2cnc3ccccc3c2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(Nc2cnccc2-c2ccccc2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2c[nH]c3cnccc23)nc2c(Br)cnn12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Nc1cc([C@H](CO)Cc2ccccc2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2cnc3[nH]ccc3c2)nc2c(Br)cnn12; [None]; [None]; [0]
-CC1(c2cc(N)n3ncc(Br)c3n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
-CN(c1cc(N)n2ncc(Br)c2n1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Nc1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)nc2c(Br)cnn12; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
 Cc1cc(-c2cc(N)n3ncc(Br)c3n2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1cc(N)n2ncc(Br)c2n1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 Nc1cc(-n2ccc(CO)n2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-n2cnc(CCO)c2)nc2c(Br)cnn12; [None]; [None]; [0]
-C[C@H](Nc1cc(N)n2ncc(Br)c2n1)C(C)(C)O; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)cc1; [None]; [None]; [0]
+Nc1cc(-c2c(F)cccc2Cl)nc2c(Br)cnn12; ['Nc1ccnc2c(Br)cnn12']; ['OB(O)c1c(F)cccc1Cl']; [0.999981164932251]
 C[C@@H](Nc1cc(N)n2ncc(Br)c2n1)C(C)(C)O; [None]; [None]; [0]
+CC1(c2cc(N)n3ncc(Br)c3n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CN(c1cc(N)n2ncc(Br)c2n1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@H](Nc1cc(N)n2ncc(Br)c2n1)C(C)(C)O; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+Nc1cc(-n2cnc(CCO)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-n2ncc3ccccc32)nc2c(Br)cnn12; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+C[C@H](Nc1cc(N)n2ncc(Br)c2n1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)c3ccccc3)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
+COc1ccc(-c2cc(N)n3ncc(Br)c3n2)c(OC)c1; [None]; [None]; [0]
 Nc1cc(-n2ncc3c(O)cccc32)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cccnc2O)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2ccc(-n3cncn3)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2nc3ccc(O)cc3[nH]2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2ccc(-n3cncn3)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 CSc1nc(C)c(-c2cc(N)n3ncc(Br)c3n2)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)n3ncc(Br)c3n2)c(OC)c1; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)c3ccccc3)cc2)nc2c(Br)cnn12; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
 Nc1cc(-c2nncn2C2CC2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2ccn(CC[NH3+])n2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(Cc2nnc3ccc(-c4ccccc4)nn23)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(CCC(=O)NCc2ccccn2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(CS(=O)(=O)NCc2ccccn2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cc(-c2ccn(CC[NH3+])n2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2cn(Cc3ccccc3)nn2)nc2c(Br)cnn12; [None]; [None]; [0]
 CCc1cc(-c2cc(N)n3ncc(Br)c3n2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2cc(N)n3ncc(Br)c3n2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cc(N)n3ncc(Br)c3n2)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(N)n3ncc(Br)c3n2)CC1; [None]; [None]; [0]
+Nc1cc(CS(=O)(=O)NCc2ccccn2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1nnc(-c2cc(N)n3ncc(Br)c3n2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(N)n3ncc(Br)c3n2)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(N)n3ncc(Br)c3n2)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)s1; [None]; [None]; [0]
 Nc1cc(Oc2ccc(C[NH3+])cc2F)nc2c(Br)cnn12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-Nc1cc(-c2nc3ccccc3s2)nc2c(Br)cnn12; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cc(N)n4ncc(Br)c4n3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(N)n4ncc(Br)c4n3)c2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)n3ncc(Br)c3n2)s1; [None]; [None]; [0]
+Nc1cc(-c2nc3ccccc3s2)nc2c(Br)cnn12; [None]; [None]; [0]
+Nc1cncc(-c2cc(N)n3ncc(Br)c3n2)n1; [None]; [None]; [0]
 Nc1cc(-c2cccc3ccsc23)nc2c(Br)cnn12; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(N)n4ncc(Br)c4n3)c2)cc1; [None]; [None]; [0]
+Nc1cc(-c2c[nH]c3cccnc23)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2cccc3nnsc23)nc2c(Br)cnn12; [None]; [None]; [0]
+COc1ccc(Oc2cc(N)n3ncc(Br)c3n2)c(F)c1F; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cc(N)n3ncc(Br)c3n2)[nH]1; [None]; [None]; [0]
+Nc1cc(-c2cn(CCO)cn2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1nc(-c2cc(N)n3ncc(Br)c3n2)nc2ccccc12; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c3cccnc23)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2ncc3cc[nH]c3n2)nc2c(Br)cnn12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc(N)n2ncc(Br)c2n1; [None]; [None]; [0]
-COc1ccc(Oc2cc(N)n3ncc(Br)c3n2)c(F)c1F; [None]; [None]; [0]
+Nc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)nc2c(Br)cnn12; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2cc(N)n3ncc(Br)c3n2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc(N)n3ncc(Br)c3n2)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc(N)n3ncc(Br)c3n2)cnn1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc(N)n3ncc(Br)c3n2)c1; [None]; [None]; [0]
 Nc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)nc2c(Br)cnn12; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)C3CCNCC3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(N)n3ncc(Br)c3n2)cnn1; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 Nc1cc(-c2ncc3ccccc3n2)cn2c(Br)cnc12; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-COc1ncccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
+CCOc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 COc1cc(-c2cc(N)c3ncc(Br)n3c2)cc(OC)c1OC; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+Nc1cc(-c2cccc(NC(=O)C3CCNCC3)c2)nc2c(Br)cnn12; [None]; [None]; [0]
 Nc1cc(-c2cnc3cccnn23)cn2c(Br)cnc12; [None]; [None]; [0]
-COc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 Nc1cc(-c2cccc(O)c2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2ccc(N3CCOCC3)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)C3CC3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
+COc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cc(N)c4ncc(Br)n4c3)c2c1; [None]; [None]; [0]
 Nc1cc(-c2nc3ccccc3[nH]2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2cccc(NC(=O)C3CC3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(N)c4ncc(Br)n4c3)cc2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc(N)c3ncc(Br)n3c2)cn1; [None]; [None]; [0]
+Nc1cc(-c2nccc3ccccc23)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2ccc(C(=O)[O-])cc2)cn2c(Br)cnc12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 Nc1cc(Nc2ncccn2)cn2c(Br)cnc12; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cc(N)c4ncc(Br)n4c3)cn2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(-c2cccc(C3CCNCC3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(Cc2nccc3ccccc23)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2ccc(OCCO)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cccc(C3CCNCC3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)cn2c(Br)cnc12; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2ccc3c(c2)CS(=O)(=O)C3)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2ccc(C(F)(F)F)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)cn2c(Br)cnc12; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 Cc1nc(C)c(-c2cc(N)c3ncc(Br)n3c2)s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc(N)c3ncc(Br)n3c2)CC1; [None]; [None]; [0]
-Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)cn2c(Br)cnc12; [None]; [None]; [0]
-CC(C)c1cc(-c2cc(N)c3ncc(Br)n3c2)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(Cc2ccccc2O)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1ncc(Cc2cc(N)c3ncc(Br)n3c2)cn1; [None]; [None]; [0]
+CC(C)c1cc(-c2cc(N)c3ncc(Br)n3c2)nc(N)n1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cc(N)c3ncc(Br)n3c2)CC1; [None]; [None]; [0]
+Nc1cc(-c2ccc(Br)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cc(N)c4ncc(Br)n4c3)c2)CC1; [None]; [None]; [0]
+Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)cn2c(Br)cnc12; [None]; [None]; [0]
+COc1ccc(Cc2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 CCCOc1ccc(-c2cc(N)c3ncc(Br)n3c2)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-Nc1cc(-c2ccc(Br)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2ccn3nccc3n2)cn2c(Br)cnc12; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-Nc1cc(-c2c[nH]c3ccccc23)cn2c(Br)cnc12; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(N)c3ncc(Br)n3c2)cc1Cl; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cc(N)c4ncc(Br)n4c3)[nH]c2c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc(N)c2ncc(Br)n2c1; ['COc1ccc(Cl)cc1I']; ['Nc1cccn2c(Br)cnc12']; [0.9013351202011108]
+CCN(CC)C(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccccc2-n2cccn2)cn2c(Br)cnc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)c(C)c1; [None]; [None]; [0]
 Nc1cc(-c2ccc3c(c2)CCO3)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccc3cn2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2cc(-c3ccccc3)[nH]n2)cn2c(Br)cnc12; [None]; [None]; [0]
+COc1cc(OC)c(-c2cc(N)c3ncc(Br)n3c2)cc1Cl; [None]; [None]; [0]
+Nc1cc(-c2c[nH]c3ccccc23)cn2c(Br)cnc12; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 COc1cc(-c2cc(N)c3ncc(Br)n3c2)ccc1O; [None]; [None]; [0]
 Nc1cc(-c2cccc3c2OCO3)cn2c(Br)cnc12; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3cc(N)c4ncc(Br)n4c3)[nH]c2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; ['CC(C)(C)c1ccc(I)cc1']; ['Nc1cccn2c(Br)cnc12']; [0.8893083333969116]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(-c2scc3c2OCCO3)cn2c(Br)cnc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(Cc2nc3ccc(F)c(F)c3[nH]2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2cc(-c3ccccc3)[nH]n2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2cnc3ccccc3c2)cn2c(Br)cnc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(Cc2nc3c(F)c(F)ccc3[nH]2)cn2c(Br)cnc12; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc(N)c3ncc(Br)n3c2)CC1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Cc1ccc(-c2cc(N)c3ncc(Br)n3c2)c(=O)[nH]1; [None]; [None]; [0]
+Nc1cc(CCCc2ccccc2)cn2c(Br)cnc12; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(N)c4ncc(Br)n4c3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c3ncc(Br)n3c2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
-CC[C@@H](CO)c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+CSc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1nc(-c2cc(N)c3ncc(Br)n3c2)cs1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(N)c3ncc(Br)n3c2)CC1; [None]; [None]; [0]
+Nc1cc(-c2cc3ccccc3s2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(Cc2nc3ccccc3[nH]2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2ccn(-c3cccc(Cl)c3)n2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2ccc(F)cc2Cl)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2ncc(Br)cn2)cn2c(Br)cnc12; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc(N)c4ncc(Br)n4c3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2cc(N)c3ncc(Br)n3c2)nc(N)n1; [None]; [None]; [0]
 COc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1OC; [None]; [None]; [0]
+Nc1cc(-c2ccc3c(c2)CCC(=O)N3)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc([C@H](CO)Cc2ccccc2)cn2c(Br)cnc12; [None]; [None]; [0]
 CCc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 Nc1cc(-c2ccc(Cl)cc2Cl)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2ncc3cccn3n2)cn2c(Br)cnc12; [None]; [None]; [0]
+CC[C@@H](CO)c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 COc1cc(-c2cc(N)c3ncc(Br)n3c2)ccc1N1CCOCC1; [None]; [None]; [0]
 Nc1cc(-c2cc3ccccn3n2)cn2c(Br)cnc12; [None]; [None]; [0]
-Cn1cc(-c2cc(N)c3ncc(Br)n3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc(N)c4ncc(Br)n4c3)ccc2O1; [None]; [None]; [0]
 COc1ccc2cccc(-c3cc(N)c4ncc(Br)n4c3)c2c1; [None]; [None]; [0]
+Nc1cc(CCCn2cncn2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2ncc3cccn3n2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2cccc3ccc(O)cc23)cn2c(Br)cnc12; [None]; [None]; [0]
+Cn1cc(-c2cc(N)c3ncc(Br)n3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
 COc1cc(F)c(-c2cc(N)c3ncc(Br)n3c2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cc(N)c3ncc(Br)n3c2)ccc1Cl; [None]; [None]; [0]
-Nc1cc(-c2ncc(Cl)cn2)cn2c(Br)cnc12; [None]; [None]; [0]
+COc1cc(-c2cc(N)c3ncc(Br)n3c2)ccc1Cl; ['COc1cc(I)ccc1Cl']; ['Nc1cccn2c(Br)cnc12']; [0.9590010643005371]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(-c2cnn(CCO)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cc(N)c4ncc(Br)n4c3)ccc2O1; [None]; [None]; [0]
 Cc1csc2c(-c3cc(N)c4ncc(Br)n4c3)ncnc12; [None]; [None]; [0]
+Nc1cc(-c2ncc(Cl)cn2)cn2c(Br)cnc12; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
 Nc1cc(-c2cc(N)c3ncc(Br)n3c2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 COc1cc(-c2cc(N)c3ncc(Br)n3c2)c(OC)cc1Br; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2cc(N)c3ncc(Br)n3c2)CC1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2cc(N)c3ncc(Br)n3c2)CC1; [None]; [None]; [0]
-Nc1cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc(N)c3ncc(Br)n3c1)cn2C; [None]; [None]; [0]
 COc1ccc2oc(-c3cc(N)c4ncc(Br)n4c3)cc2c1; [None]; [None]; [0]
+CCn1cc(-c2cc(N)c3ncc(Br)n3c2)cn1; [None]; [None]; [0]
 Nc1cc(-c2ccc3cn[nH]c3c2)cn2c(Br)cnc12; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
-Nc1cc(-c2cc(-c3cccnc3)ccn2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2cc3ccccc3o2)cn2c(Br)cnc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 Nc1cc(-c2ncc3sccc3n2)cn2c(Br)cnc12; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccc(OC(F)(F)F)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2cc(-c3cccnc3)ccn2)cn2c(Br)cnc12; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
 COc1ccc2nc(-c3cc(N)c4ncc(Br)n4c3)[nH]c2c1; [None]; [None]; [0]
-Nc1cc(-c2ccc(OC(F)(F)F)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+CCc1cccc(-c2cc(N)c3ncc(Br)n3c2)n1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
 Cn1cc(-c2cc(N)c3ncc(Br)n3c2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cc(N)c4ncc(Br)n4c3)[nH]c2c1; [None]; [None]; [0]
-CCc1cccc(-c2cc(N)c3ncc(Br)n3c2)n1; [None]; [None]; [0]
 Nc1cc(-c2ncn3c2CCCC3)cn2c(Br)cnc12; [None]; [None]; [0]
 Cc1cc(-c2cc(N)c3ncc(Br)n3c2)cc(C)c1OCCO; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc(N)c4ncc(Br)n4c3)ccc12; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(N)c4ncc(Br)n4c3)ccc21; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cc(N)c4ncc(Br)n4c3)cn2)CC1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cc(N)c4ncc(Br)n4c3)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cc(N)c4ncc(Br)n4c3)ccc12; [None]; [None]; [0]
 Nc1cc(-c2cccc(N3CCCC3=O)c2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2ccc(CCO)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(NC(=O)c2cccc(OC(F)(F)F)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cc(N)c4ncc(Br)n4c3)cc2)n1C; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)c(OC)c1; [None]; [None]; [0]
-Cn1nc(-c2cc(N)c3ncc(Br)n3c2)cc1C(C)(C)O; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)c(OC)c1; [None]; [None]; [0]
+Cn1nc(-c2cc(N)c3ncc(Br)n3c2)cc1C(C)(C)O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc(N)c2ncc(Br)n2c1; ['CNC(=O)c1ccccc1I']; ['Nc1cccn2c(Br)cnc12']; [0.908534586429596]
 CNC(=O)c1ccc(C)c(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 CCOc1ccccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 COC(C)(C)CCc1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cc(N)c3ncc(Br)n3c2)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-Nc1cc(Cc2cc(F)cc(F)c2)cn2c(Br)cnc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-Nc1cc(-c2ccnc3ccccc23)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2ccccc2OC(F)(F)F)cn2c(Br)cnc12; ['FC(F)(F)Oc1ccccc1Br']; ['Nc1cccn2c(Br)cnc12']; [0.90995854139328]
 Nc1cc(-c2cccc(C(F)(F)F)c2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2ccccc2Br)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2ccccc2OC(F)(F)F)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2ccccc2C(=O)[O-])cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2ccnc3ccccc23)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(Cc2cc(F)cc(F)c2)cn2c(Br)cnc12; [None]; [None]; [0]
 NC(=O)c1ccccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(-c2cnn(Cc3ccccc3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2cnc(-c3ccccc3)[nH]2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc([C@@H](N)c2ccco2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2cnn(CCO)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc(N)c4ncc(Br)n4c3)cc2c1=O; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+Nc1cc(-c2ccccc2C(=O)[O-])cn2c(Br)cnc12; [None]; [None]; [0]
+COc1cnc(-c2cc(N)c3ncc(Br)n3c2)nc1; [None]; [None]; [0]
+Nc1cc(-c2cc(Cl)ccc2Cl)cn2c(Br)cnc12; [None]; [None]; [0]
+Cc1ccc(-c2cc(N)c3ncc(Br)n3c2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2cc(N)c3ncc(Br)n3c2)cs1; [None]; [None]; [0]
 Nc1cc(-n2ncc3cccc(F)c3c2=O)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2cccc(NC(=O)c3ccccc3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
-COc1cnc(-c2cc(N)c3ncc(Br)n3c2)nc1; [None]; [None]; [0]
 CC(C)C(=O)COc1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-Cc1ccc(-c2cc(N)c3ncc(Br)n3c2)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-Nc1cc(-c2cnc3ccccn23)cn2c(Br)cnc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc(N)c3ncc(Br)n3c2)s1; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+Nc1cc(-c2cnc3ccccn23)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2cnc(-c3ccccc3)[nH]2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2c(Cl)cccc2Cl)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2cccc(Cn3cncn3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2cccc(Br)c2)cn2c(Br)cnc12; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
 Nc1cc(NCc2cccnc2)cn2c(Br)cnc12; [None]; [None]; [0]
-Cc1c(-c2cc(N)c3ncc(Br)n3c2)sc(=O)n1C; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc(N)c3ncc(Br)n3c2)s1; [None]; [None]; [0]
+Nc1cc(-c2ccc3ccccc3c2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1nccc(-c2cc(N)c3ncc(Br)n3c2)n1; [None]; [None]; [0]
+Nc1cc(-c2cccc(Cn3cncn3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+Cc1c(-c2cc(N)c3ncc(Br)n3c2)sc(=O)n1C; [None]; [None]; [0]
+Nc1cc(NC(=O)c2cccs2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2cnn3ncccc23)cn2c(Br)cnc12; [None]; [None]; [0]
-COc1cccc(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
-Nc1cc(-c2ccc3ccccc3c2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(Nc2cccnc2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-n2cnc3ccccc32)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2c[nH]nc2C(F)(F)F)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(NCCc2c[nH]cn2)cn2c(Br)cnc12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc(N)c3ncc(Br)n3c2)o1; [None]; [None]; [0]
-Nc1cc(NC(=O)c2cccs2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-n2cnc3ccccc32)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(Nc2cccnc2)cn2c(Br)cnc12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(-c2cncc3ccccc23)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2cccc(CC(=O)[O-])c2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(NCCc2ccccc2)cn2c(Br)cnc12; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cc(N)c4ncc(Br)n4c3)cc2)cn1; [None]; [None]; [0]
+Nc1cc(NCCc2ccccc2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1[nH]nc2cc(-c3cc(N)c4ncc(Br)n4c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cc(N)c4ncc(Br)n4c3)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(N)c4ncc(Br)n4c3)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2cc(N)c3ncc(Br)n3c2)n1; [None]; [None]; [0]
+Nc1cc(NCc2ccc(Cl)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2cccc(CO)c2)cn2c(Br)cnc12; [None]; [None]; [0]
-COc1cc(-c2cc(N)c3ncc(Br)n3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1cc(-c2ccc(-c3cn[nH]c3)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
+CCCn1cnc(-c2cc(N)c3ncc(Br)n3c2)n1; [None]; [None]; [0]
 Nc1cc(Nc2ccncc2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(NCc2ccccc2F)cn2c(Br)cnc12; [None]; [None]; [0]
+COc1cc(-c2cc(N)c3ncc(Br)n3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1cc(-c2csc3ncncc23)cn2c(Br)cnc12; [None]; [None]; [0]
 CSc1nc(-c2cc(N)c3ncc(Br)n3c2)c[nH]1; [None]; [None]; [0]
 CC(C)n1cc(-c2cc(N)c3ncc(Br)n3c2)nn1; [None]; [None]; [0]
 CC(C)c1oncc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(CCc2c[nH]nn2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2csc3ncncc23)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2cc3ccccc3[nH]2)cn2c(Br)cnc12; [None]; [None]; [0]
 N#CCCc1cccc(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
+Nc1ncncc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+Nc1cc(-c2ccc(F)cc2C(F)(F)F)cn2c(Br)cnc12; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cc(N)c4ncc(Br)n4c3)cc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
-Nc1cc(-c2ccc(F)cc2C(F)(F)F)cn2c(Br)cnc12; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(NC(=O)c2c(Cl)cccc2Cl)cn2c(Br)cnc12; [None]; [None]; [0]
 CS(=O)(=O)C1CCN(c2cc(N)c3ncc(Br)n3c2)CC1; [None]; [None]; [0]
-CC(C)(COc1cc(N)c2ncc(Br)n2c1)S(C)(=O)=O; [None]; [None]; [0]
 COc1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1Cl; [None]; [None]; [0]
+Nc1cc(Oc2ccccn2)cn2c(Br)cnc12; [None]; [None]; [0]
+NC(=O)CCCc1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(-c2cnn3ccccc23)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 CCCn1cc(-c2cc(N)c3ncc(Br)n3c2)cn1; [None]; [None]; [0]
+CC(C)(COc1cc(N)c2ncc(Br)n2c1)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(-c2cccc3c2C(=O)CC3)cn2c(Br)cnc12; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+CCN(CC)c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(-c2cc[nH]c(=O)c2)cn2c(Br)cnc12; [None]; [None]; [0]
 COc1cc(CCc2cc(N)c3ncc(Br)n3c2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc(N)c2ncc(Br)n2c1; ['COc1cccc(F)c1Br']; ['Nc1cccn2c(Br)cnc12']; [0.9937354922294617]
+CC(C)Oc1cncc(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
 C[C@@H](Oc1cc(N)c2ncc(Br)n2c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
-CCN(CC)c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(-c2cc3c(=O)[nH]ccc3o2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)cn2c(Br)cnc12; [None]; [None]; [0]
 COc1ccncc1Nc1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(Nc2cnccc2-c2ccccc2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(Nc2cnc3ccccc3c2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2c[nH]c3cnccc23)cn2c(Br)cnc12; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-Nc1cc([C@H](CO)Cc2ccccc2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2cnc3[nH]ccc3c2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)cn2c(Br)cnc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
+Nc1cc(-n2ccc(CO)n2)cn2c(Br)cnc12; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
 CC1(c2cc(N)c3ncc(Br)n3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cc(N)c2ncc(Br)n2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cc(N)c3ncc(Br)n3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 C[C@H](Nc1cc(N)c2ncc(Br)n2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-Nc1cc(-n2ccc(CO)n2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-n2cnc(CCO)c2)cn2c(Br)cnc12; [None]; [None]; [0]
-C[C@H](Nc1cc(N)c2ncc(Br)n2c1)C(C)(C)O; [None]; [None]; [0]
+Nc1cc(-c2c(F)cccc2Cl)cn2c(Br)cnc12; ['Fc1cccc(Cl)c1Br']; ['Nc1cccn2c(Br)cnc12']; [0.9912669658660889]
 C[C@@H](Nc1cc(N)c2ncc(Br)n2c1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-Nc1cc(-n2ncc3ccccc32)cn2c(Br)cnc12; [None]; [None]; [0]
+Cc1cc(-c2cc(N)c3ncc(Br)n3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 Nc1cc(-n2ncc3c(O)cccc32)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2cccnc2O)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-n2cnc(CCO)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+C[C@H](Nc1cc(N)c2ncc(Br)n2c1)C(C)(C)O; [None]; [None]; [0]
 Nc1cc(-c2ccc(-n3cncn3)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-n2ncc3ccccc32)cn2c(Br)cnc12; [None]; [None]; [0]
+COc1ccc(-c2cc(N)c3ncc(Br)n3c2)c(OC)c1; ['COc1ccc(I)c(OC)c1']; ['Nc1cccn2c(Br)cnc12']; [0.9408190250396729]
 Nc1cc(-c2nc3ccc(O)cc3[nH]2)cn2c(Br)cnc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc(N)c3ncc(Br)n3c2)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc(N)c3ncc(Br)n3c2)c(OC)c1; [None]; [None]; [0]
 Nc1cc(-c2ccc(C(=O)c3ccccc3)cc2)cn2c(Br)cnc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc(N)c3ncc(Br)n3c2)[nH]1; [None]; [None]; [0]
+Nc1cc(Cc2nnc3ccc(-c4ccccc4)nn23)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2nncn2C2CC2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2ccn(CC[NH3+])n2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(Cc2nnc3ccc(-c4ccccc4)nn23)cn2c(Br)cnc12; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 Nc1cc(CCC(=O)NCc2ccccn2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(CS(=O)(=O)NCc2ccccn2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(-c2cn(Cc3ccccc3)nn2)cn2c(Br)cnc12; [None]; [None]; [0]
-CCCCc1cc(-c2cc(N)c3ncc(Br)n3c2)nc(N)n1; [None]; [None]; [0]
+Nc1cc(CS(=O)(=O)NCc2ccccn2)cn2c(Br)cnc12; [None]; [None]; [0]
 CCc1cc(-c2cc(N)c3ncc(Br)n3c2)nc(N)n1; [None]; [None]; [0]
+Nc1cc(-c2nc3ccccc3s2)cn2c(Br)cnc12; [None]; [None]; [0]
+CCCCc1cc(-c2cc(N)c3ncc(Br)n3c2)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(N)c3ncc(Br)n3c2)n1; [None]; [None]; [0]
 Nc1nnc(-c2cc(N)c3ncc(Br)n3c2)s1; [None]; [None]; [0]
-Nc1ncc(-c2cc(N)c3ncc(Br)n3c2)s1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc(N)c3ncc(Br)n3c2)s1; [None]; [None]; [0]
 Nc1cc(Oc2ccc(C[NH3+])cc2F)cn2c(Br)cnc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
-Nc1cc(-c2nc3ccccc3s2)cn2c(Br)cnc12; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(N)c3ncc(Br)n3c2)CC1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cc(N)c4ncc(Br)n4c3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(N)c4ncc(Br)n4c3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cc(N)c3ncc(Br)n3c2)n1; [None]; [None]; [0]
 Nc1cc(-c2cccc3ccsc23)cn2c(Br)cnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(N)c4ncc(Br)n4c3)c2)cc1; [None]; [None]; [0]
 Nc1cc(-c2cccc3nnsc23)cn2c(Br)cnc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc(N)c3ncc(Br)n3c2)[nH]1; [None]; [None]; [0]
+Nc1cc(-c2ncc3cc[nH]c3n2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1nc(-c2cc(N)c3ncc(Br)n3c2)nc2ccccc12; [None]; [None]; [0]
 Nc1cc(-c2c[nH]c3cccnc23)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2ncc3cc[nH]c3n2)cn2c(Br)cnc12; [None]; [None]; [0]
+Nc1cc(-c2cn(CCO)cn2)cn2c(Br)cnc12; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(N)c3ncc(Br)n3c2)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(N)c3ncc(Br)n3c2)c1; ['COc1ccc(OC)c(I)c1']; ['Nc1cccn2c(Br)cnc12']; [0.9421110153198242]
+CN(C)S(=O)(=O)c1cccc(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
+Nc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)cn2c(Br)cnc12; [None]; [None]; [0]
 COc1ccc(Oc2cc(N)c3ncc(Br)n3c2)c(F)c1F; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc(N)c2ncc(Br)n2c1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(N(C)C(C)=O)cc2)o1; [None]; [None]; [0]
+CCOc1ccc(-c2ccc(CC)o2)cc1; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(Cl)cc1', 'CCOc1ccc(S(=O)(=O)Cl)cc1', 'CCOc1ccccc1']; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; [0.9997808933258057, 0.99956876039505, 0.9994004964828491, 0.9978436231613159, 0.9928290247917175, 0.9687318205833435, 0.9635717272758484]
 C[C@@]1(O)CC[C@H](c2cc(N)c3ncc(Br)n3c2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc(N)c3ncc(Br)n3c2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc(N)c3ncc(Br)n3c2)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc(N)c3ncc(Br)n3c2)cnn1; [None]; [None]; [0]
-Nc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)cn2c(Br)cnc12; [None]; [None]; [0]
 Nc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)cn2c(Br)cnc12; [None]; [None]; [0]
-Nc1cc(-c2cccc(NC(=O)C3CCNCC3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(N)c3ncc(Br)n3c2)cnn1; [None]; [None]; [0]
+CCc1ccc(-c2cccnc2OC)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1N']; [0.9797987937927246, 0.9583979249000549, 0.864990234375]
+CCc1ccc(-c2cccc(S(C)(=O)=O)c2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(S(=O)(=O)Cl)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1ccccc1']; [0.9991908073425293, 0.9989495277404785, 0.9985368251800537, 0.9982872009277344, 0.7504079341888428]
+CCc1ccc(-c2cc(OC)c(OC)c(OC)c2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(S(=O)(=O)Cl)cc(OC)c1OC', 'COc1cc(C(=O)O)cc(OC)c1OC']; [0.9997758269309998, 0.9994875192642212, 0.9986698031425476, 0.9956569671630859, 0.9937103986740112]
+CCc1ccc(-c2ncc3ccccc3n2)o1; [None]; [None]; [0]
 CCc1ccc(-c2sc(C(C)(C)O)nc2C)o1; [None]; [None]; [0]
+Nc1cc(-c2cccc(NC(=O)C3CCNCC3)c2)cn2c(Br)cnc12; [None]; [None]; [0]
+CCc1ccc(-c2nc3ccccc3[nH]2)o1; ['CCc1ccc(C=O)o1']; ['Nc1ccccc1N']; [0.99959397315979]
+CCc1ccc(-c2ccc(OC)cc2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(N)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(S(=O)(=O)Cl)cc1', 'COc1ccc(C(=O)O)cc1', 'COc1ccc([N+]#N)cc1']; [0.9998214244842529, 0.9996938705444336, 0.9988778829574585, 0.998724639415741, 0.9942031502723694, 0.9933961033821106, 0.9906479120254517]
+CCc1ccc(-c2cccc(O)c2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Nc1cccc(O)c1', 'Oc1cccc(Cl)c1']; [0.9943493604660034, 0.9940352439880371, 0.9883952140808105, 0.9859438538551331]
+CCc1ccc(-n2cnc3ccc(C)cc32)o1; [None]; [None]; [0]
+CCc1ccc(-c2cccc(NC(=O)C3CC3)c2)o1; ['CCc1ccco1']; ['O=C(Nc1cccc(Br)c1)C1CC1']; [0.9998096823692322]
+CCc1ccc(-c2ccc(N3CCOCC3)cc2)o1; ['CCc1ccco1', 'Brc1ccc(N2CCOCC2)cc1', 'CCc1ccco1', 'CCc1ccco1']; ['Ic1ccc(N2CCOCC2)cc1', 'CCc1ccco1', 'Clc1ccc(N2CCOCC2)cc1', 'c1ccc(N2CCOCC2)cc1']; [0.9999808073043823, 0.9999767541885376, 0.9998757243156433, 0.9939104318618774]
+CCc1ccc(-c2cc(C#N)ccc2O)o1; [None]; [None]; [0]
+CCc1ccc(-c2nccc3ccccc23)o1; ['Brc1nccc2ccccc12', 'CCc1ccco1']; ['CCc1ccco1', 'Clc1nccc2ccccc12']; [0.9984596967697144, 0.9756296277046204]
+CCc1ccc(-c2cnc3cccnn23)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(C(N)=O)cc2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(Cl)cc1']; [0.9994956254959106, 0.9950814247131348, 0.9891775846481323]
+CCc1ccc(-c2ccc(C(=O)[O-])cc2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(CNC(C)=O)cc2)o1; ['CC(=O)NCc1ccc(Br)cc1']; ['CCc1ccco1']; [0.9992231130599976]
+CCc1ccc(Nc2cc(C)ns2)o1; [None]; [None]; [0]
 CCc1ccc(-c2ccc(CC(=O)N3CCN(C(C)=O)CC3)cc2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(OCCO)cc2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['OCCOc1ccc(Br)cc1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(Cl)cc1']; [0.9975794553756714, 0.9963129758834839, 0.9300574660301208]
+CCc1ccc(-c2cccc(C3CCNCC3)c2)o1; [None]; [None]; [0]
+CCc1ccc(Nc2ncccn2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(C(=O)Nc3ccccc3)cc2)o1; [None]; [None]; [0]
 CCc1ccc(-c2cnn(Cc3cccc(C#N)c3)c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc3c(c2)CS(=O)(=O)C3)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc(C(C)C)nc(N)n2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(S(=O)(=O)NC)cc2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.9891605973243713, 0.9853441715240479]
+CCc1ccc(-c2ccc(C(F)(F)F)cc2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(I)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'O=S(=O)(Cl)c1ccc(C(F)(F)F)cc1']; [0.9999819993972778, 0.999961256980896, 0.9997408390045166, 0.9996230602264404, 0.9993576407432556]
+CCc1ccc(-c2ccc(C(=O)N3CCOCC3)cc2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(C(=O)N3CCOCC3)cn2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(N(C)C)cc2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc(C(=O)O)cc1', 'CN(C)c1ccc(S(=O)(=O)Cl)cc1', 'CN(C)c1ccc([N+]#N)cc1']; [0.9999411106109619, 0.9999350309371948, 0.9998714923858643, 0.9997540712356567, 0.9992929100990295, 0.9920419454574585, 0.9859606027603149]
+CCc1ccc(-c2ccc3c(c2)CS(=O)(=O)C3)o1; ['CCc1ccco1', 'CCc1ccco1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'Nc1ccc2c(c1)CS(=O)(=O)C2']; [0.9997169375419617, 0.9989981651306152]
+CCc1ccc(-c2sc(C)nc2C)o1; ['CCc1ccco1']; ['Cc1csc(C)n1']; [0.9879786968231201]
+CCc1ccc(-c2ccc(OC[C@@H](C)O)cc2)o1; [None]; [None]; [0]
+CCc1ccc(Nc2ccncn2)o1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2ccc(CC)o2)cc1; ['CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccccc1']; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; [0.9982640147209167, 0.9980025887489319, 0.9280229210853577]
+CCc1ccc(-c2ccc(S(=O)(=O)N(C)C)cc2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(S(=O)(=O)Cl)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; [0.9995527267456055, 0.9992026090621948, 0.9985938668251038, 0.9984796643257141]
+CCc1ccc(-c2ccc(OC[C@H](C)O)cc2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(Br)cc2)o1; ['Brc1ccc(I)cc1', 'CCc1ccco1', 'Brc1ccc(Br)cc1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['CCc1ccco1', 'Nc1ccc(Br)cc1', 'CCc1ccco1', 'O=C(O)c1ccc(Br)cc1', 'O=S(=O)(Cl)c1ccc(Br)cc1', 'Clc1ccc(Br)cc1', 'N#[N+]c1ccc(Br)cc1']; [0.9998721480369568, 0.9993143081665039, 0.9983525276184082, 0.997961163520813, 0.9977895021438599, 0.9967960715293884, 0.9931789636611938]
+CCCOc1ccc(-c2ccc(CC)o2)nc1; ['CCCOc1ccc(Br)nc1']; ['CCc1ccco1']; [0.9938375949859619]
+CCc1ccc(-c2ccc(C(=O)N(CC)CC)cc2)o1; [None]; [None]; [0]
 CCc1ccc(-c2cccc(N3CCCN(C(C)=O)CC3)c2)o1; [None]; [None]; [0]
-CCCOc1ccc(-c2ccc(CC)o2)nc1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(S(=O)(=O)NC)cc2C)o1; ['CCc1ccco1']; ['CNS(=O)(=O)c1ccc(Br)c(C)c1']; [0.9988019466400146]
+CCc1ccc(-c2cc(C(C)C)nc(N)n2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cccc(C(=O)[O-])c2C)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccn3nccc3n2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(N(C)C)c(Cl)c2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(N)cc1Cl']; [0.9998778104782104, 0.9995794296264648]
+CCc1ccc(-c2cc(Cl)ccc2OC)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1C(=O)O', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Cl)cc1[N+]#N', 'COc1ccc(Cl)cc1S(=O)(=O)Cl']; [0.999870777130127, 0.9995023012161255, 0.9994865655899048, 0.9983001351356506, 0.9975309371948242, 0.9949517250061035, 0.9928708076477051, 0.9913238286972046]
+CCc1ccc(-c2c[nH]c3ccccc23)o1; ['Brc1c[nH]c2ccccc12', 'CCc1ccco1', 'CCc1ccco1']; ['CCc1ccco1', 'Clc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12']; [0.999099850654602, 0.9946972131729126, 0.9689812064170837]
+CCc1ccc([C@H]2CCN(C(=O)c3ccccc3)C2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc(Cl)c(OC)cc2OC)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(S(=O)(=O)Cl)cc1Cl', 'COc1ccc(Cl)c(OC)c1']; [0.9992787837982178, 0.9978350400924683, 0.9740486145019531, 0.9302754998207092]
+CCc1ccc(C2CCN(S(C)(=O)=O)CC2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccccc2-n2cccn2)o1; ['Brc1ccccc1-n1cccn1', 'CCc1ccco1', 'CCc1ccco1']; ['CCc1ccco1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1']; [0.9999510645866394, 0.9998542070388794, 0.9989756345748901]
+CCc1ccc(-c2ccc3c(c2)CCO3)o1; ['Brc1ccc2c(c1)CCO2', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['CCc1ccco1', 'Ic1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'O=S(=O)(Cl)c1ccc2c(c1)CCO2', 'Clc1ccc2c(c1)CCO2', 'O=C(O)c1ccc2c(c1)CCO2']; [0.9999336004257202, 0.9998289346694946, 0.9991475343704224, 0.9933960437774658, 0.9900968074798584, 0.9889590740203857]
+CCc1ccc(-c2cccc(NC(C)=O)c2)o1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(C(=O)O)c1', 'CC(=O)Nc1cccc(S(=O)(=O)Cl)c1']; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; [0.9979414939880371, 0.995201587677002, 0.973814845085144, 0.9734253883361816]
+CCc1ccc(-c2cnc3ccccc3c2)o1; ['Brc1cnc2ccccc2c1', 'CCc1ccco1', 'CCc1ccco1']; ['CCc1ccco1', 'Nc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1']; [0.99958336353302, 0.9981792569160461, 0.9980413913726807]
+CCc1ccc(-c2scc3c2OCCO3)o1; ['CCc1ccco1']; ['c1scc2c1OCCO2']; [0.9997866153717041]
+CCc1ccc(-c2ccc(C(C)(C)C)cc2)o1; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(S(=O)(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1']; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; [0.9999361634254456, 0.9998912811279297, 0.9995859861373901, 0.9991752505302429, 0.9974391460418701, 0.9963440299034119]
+CCc1ccc(-c2cccc3c2OCO3)o1; ['Brc1cccc2c1OCO2', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['CCc1ccco1', 'Ic1cccc2c1OCO2', 'O=C(O)c1cccc2c1OCO2', 'Nc1cccc2c1OCO2']; [0.9999864101409912, 0.9998367428779602, 0.9994688034057617, 0.9980332851409912]
 CCc1ccc(-c2nc3ccc(C(C)C)cc3[nH]2)o1; [None]; [None]; [0]
-CCc1ccc(Cc2nc3c(F)c(F)ccc3[nH]2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(O)c(OC)c2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Cl)ccc1O']; [0.9959194660186768, 0.9886538982391357, 0.9867682456970215, 0.9086076021194458]
+CCc1ccc(-c2ccc(C(C)(C)C)nc2)o1; ['CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(S(=O)(=O)Cl)cn1']; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; [0.9991660118103027, 0.998461902141571, 0.9107599258422852]
+CCc1ccc(-c2ccc(C(=O)N(C)C)cc2)o1; ['CCc1ccco1']; ['CN(C)C(=O)c1ccc(Br)cc1']; [0.9999082088470459]
+CCc1ccc(-c2csc(N)n2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(SC)cc2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['CSc1ccc(Br)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(C(=O)O)cc1', 'CSc1ccc(Cl)cc1', 'CSc1ccc(S(=O)(=O)Cl)cc1']; [0.9997920989990234, 0.9997860193252563, 0.999674916267395, 0.9967052936553955, 0.9957603216171265, 0.9953736066818237]
+CCc1ccc(-c2cc3ccccc3s2)o1; ['CCc1ccco1']; ['c1ccc2sccc2c1']; [0.9997714757919312]
+CCc1ccc(-c2ccc(CN3CCN(CC)CC3)cc2)o1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['CCc1ccco1']; [0.9768971800804138]
 CCc1ccc(-c2ccc(C(=O)N3CCOCC3)cc2OC)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc(-c3ccccc3)[nH]n2)o1; [None]; [None]; [0]
+CCc1ccc(NC(=O)c2cccc(OC)c2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ncc(Br)cn2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(F)cc2Cl)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'Nc1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'O=S(=O)(Cl)c1ccc(F)cc1Cl', 'Fc1ccc(Cl)c(Cl)c1']; [0.9998400211334229, 0.9992640018463135, 0.998940110206604, 0.9966760873794556, 0.9879762530326843, 0.8878278136253357]
+CCc1ccc([C@@H]2CC[C@@H](NC(C)=O)CC2)o1; [None]; [None]; [0]
+CCc1ccc(OCC2(C)COC2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccn(-c3cccc(Cl)c3)n2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(OC)c(OC)c2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(S(=O)(=O)Cl)cc1OC', 'COc1ccc(C(=O)O)cc1OC']; [0.9996640682220459, 0.9994797110557556, 0.9993259310722351, 0.998471736907959, 0.998400866985321, 0.9936494827270508, 0.9699804782867432]
+CCc1ccc(-c2ccc(CC)o2)cc1; ['CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(C(=O)O)cc1', 'CCc1ccc(Cl)cc1', 'CCc1ccc(S(=O)(=O)Cl)cc1']; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; [0.999506950378418, 0.9993154406547546, 0.9986106157302856, 0.9956386089324951, 0.992053747177124, 0.9869967699050903, 0.986901044845581]
+CCc1ccc(-c2ccc(Cl)cc2Cl)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', None, 'CCc1ccco1']; ['Clc1ccc(I)c(Cl)c1', 'Clc1ccc(Br)c(Cl)c1', 'Nc1ccc(Cl)cc1Cl', 'O=S(=O)(Cl)c1ccc(Cl)cc1Cl', None, 'Clc1ccc(Cl)c(Cl)c1']; [0.9995752573013306, 0.9995555877685547, 0.9992490410804749, 0.9672663807868958, 0, 0.8358615636825562]
+CCc1ccc(-c2cc(C)nc(N)n2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc3c(c2)CCC(=O)N3)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cn(C)nc2C(F)(F)F)o1; ['CCc1ccco1']; ['Cn1cc(Br)c(C(F)(F)F)n1']; [0.9998747706413269]
+CCc1ccc(-c2cccc3ccc(OC)cc23)o1; ['CCc1ccco1', 'CCc1ccco1']; ['COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(N)c2c1']; [0.9990705251693726, 0.9962729811668396]
+CCc1ccc(NCc2ccc(OC)cc2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(N3CCOCC3)c(OC)c2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; [0.9999698400497437, 0.9999560117721558]
+CCc1ccc(-c2ccc3c(c2)CC(C)(C)O3)o1; [None]; [None]; [0]
+CCc1ccc(-c2cccc3ccc(O)cc23)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['Oc1ccc2cccc(I)c2c1', 'Oc1ccc2cccc(Br)c2c1', 'Oc1ccc2cccc(Cl)c2c1', 'Nc1cccc2ccc(O)cc12']; [0.9933198690414429, 0.9863637685775757, 0.9375208020210266, 0.8345433473587036]
+CCc1ccc(-c2ncc(Cl)cn2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ncc3cccn3n2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc(OC)c(OC)cc2F)o1; ['CCc1ccco1', 'CCc1ccco1']; ['COc1cc(F)c(Br)cc1OC', 'COc1cc(N)c(F)cc1OC']; [0.9999581575393677, 0.9995408654212952]
 CCc1ccc(NC2CN(C(=O)C3CC3)C2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc3ccccn3n2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(Cl)c(OC)c2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(S(=O)(=O)Cl)ccc1Cl', 'COc1cc(C(=O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; [0.9999406337738037, 0.9999194741249084, 0.9996646642684937, 0.9977811574935913, 0.9918529391288757, 0.9660201668739319]
+CCc1ccc(-c2cnn(CCO)c2)o1; ['CCc1ccco1']; ['OCCn1cc(Br)cn1']; [0.998326301574707]
+CCc1ccc(-c2ccc(C(=O)NC)cc2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(S(=O)(=O)Cl)cc1']; [0.9994968175888062, 0.9993399381637573, 0.999029278755188, 0.9859824180603027, 0.9743270874023438]
+CCNC(=O)c1ccc(-c2ccc(CC)o2)nc1; [None]; [None]; [0]
+CCc1ccc(-c2ncnc3c(C)csc23)o1; [None]; [None]; [0]
 CCc1ccc(-c2cc(N)nc3[nH]ccc23)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc(OC)c(Br)cc2OC)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(C(=O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1ccc(OC)c(Br)c1']; [0.9993781447410583, 0.9918386936187744, 0.9851189851760864, 0.9660423398017883, 0.8068146705627441]
+CCc1ccc(Nc2cc(C)n(C)n2)o1; [None]; [None]; [0]
+CCc1ccc(Nc2nc(C)c(C)s2)o1; [None]; [None]; [0]
+CCc1ccc(NC(=O)c2ccco2)o1; [None]; [None]; [0]
 CCc1ccc(-c2ccc(CS(C)(=O)=O)cc2OC)o1; [None]; [None]; [0]
+CCc1ccc(Cc2ccc(S(=O)(=O)CCO)cc2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc(OC)cc(OC)c2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(OC)cc(C(=O)O)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cccc(OC)c1']; [0.99994957447052, 0.9998929500579834, 0.9998642206192017, 0.9991332292556763, 0.9985195994377136, 0.9982955455780029, 0.8377500772476196]
+CCc1ccc(Cc2ccc(C(N)=O)cc2)o1; [None]; [None]; [0]
 CCc1ccc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)o1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ccc(CC)o2)CC1; [None]; [None]; [0]
 CCc1ccc(-c2cn(C)c3ccc(OC)cc23)o1; [None]; [None]; [0]
+CCc1ccc([C@@H]2CC[C@@H](OC)CC2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc3cn[nH]c3c2)o1; ['Brc1ccc2cn[nH]c2c1']; ['CCc1ccco1']; [0.9860192537307739]
+CCc1ccc(-c2cnn(CC)c2)o1; ['CCc1ccco1']; ['CCn1cc(Br)cn1']; [0.9903764724731445]
+CCc1ccc(-c2cc(C(=O)NC)ccc2OC)o1; ['CCc1ccco1', 'CCc1ccco1']; ['CNC(=O)c1ccc(OC)c(Br)c1', 'CNC(=O)c1ccc(OC)c(N)c1']; [0.9985472559928894, 0.9893797636032104]
+CCc1ccc(-c2ncc3sccc3n2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cn(C)nc2C(C)C)o1; ['CC(C)c1nn(C)cc1Br']; ['CCc1ccco1']; [0.999264121055603]
+CCc1ccc(-c2cc(-c3cccnc3)ccn2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(C[NH+](C)C)cc2)o1; [None]; [None]; [0]
+CCc1ccc(NC(=O)c2ccc(C(C)(C)C)cc2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(OC(F)(F)F)cc2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'O=S(=O)(Cl)c1ccc(OC(F)(F)F)cc1']; [0.9999995231628418, 0.9999985098838806, 0.999992847442627, 0.9999803900718689, 0.9999727010726929]
+CCc1ccc(-c2cc3cc(OC)ccc3o2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc3ccccc3o2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc(Br)cn2C)o1; [None]; [None]; [0]
+CCc1ccc(-c2cccc(NC(=O)N3CCCC3)c2)o1; [None]; [None]; [0]
+CCc1cccc(-c2ccc(CC)o2)n1; ['CCc1cccc(Br)n1']; ['CCc1ccco1']; [0.9991737604141235]
+CCc1ccc(-c2cn(C)c3ccccc23)o1; [None]; [None]; [0]
+CCc1ccc(-c2nc3ccc(OC)cc3[nH]2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc3c(cnn3C)c2)o1; ['CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1', 'CCc1ccco1']; ['Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(S(=O)(=O)Cl)ccc21']; [0.99982750415802, 0.9996460676193237, 0.9990992546081543, 0.9164037704467773]
+CCc1ccc(-c2cc(C)c(OCCO)c(C)c2)o1; [None]; [None]; [0]
 CCc1ccc(NC(=O)c2cc(OC)ccc2F)o1; [None]; [None]; [0]
-CCc1ccc(-c2cc3ccc(C(C)(C)O)cc3[nH]2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(N(C)C)nc2)o1; ['CCc1ccco1']; ['CN(C)c1ccc(Br)cn1']; [0.9995245933532715]
+CCc1ccc(-c2ccc3c(C)n[nH]c3c2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(N)ccc12']; [0.9989633560180664, 0.993721604347229]
 CCc1ccc(-c2ncn3c2CCCC3)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(CCO)cc2)o1; ['CCc1ccco1', 'CCc1ccco1']; ['OCCc1ccc(Br)cc1', 'OCCc1ccc(Cl)cc1']; [0.997588038444519, 0.8394960165023804]
 CCc1ccc(-c2ccc3c(c2)c(Cl)nn3C)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc3ccc(C(C)(C)O)cc3[nH]2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cccc(N3CCCC3=O)c2)o1; [None]; [None]; [0]
 CCc1ccc(-c2cnn(C3CCN(C(C)=O)CC3)c2)o1; [None]; [None]; [0]
-CCc1ccc(NC(=O)c2cccc(OC(F)(F)F)c2)o1; [None]; [None]; [0]
 CCc1ccc(-c2ccc(-c3cnc(C)n3C)cc2)o1; [None]; [None]; [0]
+CCc1ccc(NC(=O)c2cccc(OC(F)(F)F)c2)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(C(=O)NC)cc2OC)o1; ['CCc1ccco1', 'CCc1ccco1']; ['CNC(=O)c1ccc(Br)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1']; [0.9991942048072815, 0.9812362790107727]
 CCc1ccc(-c2ccc(-c3cnn(C)c3)cc2OC)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(C(=O)N(C)C)cc2Cl)o1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc(CC)o2)cc1; ['CCNC(=O)c1ccc(Br)cc1']; ['CCc1ccco1']; [0.9997625350952148]
+CCc1ccc(-c2ccc(N3CCOCC3)cc2C)o1; [None]; [None]; [0]
 CCc1ccc(-c2ccc(S(C)(=O)=O)cc2OC)o1; [None]; [None]; [0]
+CCc1ccc(-c2ccc(N3CCNCC3)cc2OC)o1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccc(CC)o2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['CCc1ccco1']; [0.9999816417694092]
+CCc1ccc(-c2ccc(C(=O)N(C)C)cn2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc(S(C)(=O)=O)ccc2Cl)o1; ['CCc1ccco1', 'CCc1ccco1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(S(=O)(=O)Cl)c1']; [0.9941763281822205, 0.9836204051971436]
+CCc1ccc(Nc2ccccn2)o1; [None]; [None]; [0]
 CCc1ccc(-c2cc(C(C)(C)O)n(C)n2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc(C(=O)NC)ccc2C)o1; ['CCc1ccco1']; ['CNC(=O)c1ccc(C)c(N)c1']; [0.9932186603546143]
+CCc1ccc(Nc2ccc(F)cn2)o1; [None]; [None]; [0]
+CCOc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
 CCc1ccc(Nc2cc(C)c(F)cn2)o1; [None]; [None]; [0]
+CCc1ccc(-c2cc(C(=O)NCCO)ccc2C)o1; [None]; [None]; [0]
+COc1cc(-c2ccnc(Nc3ccccc3)n2)cc(OC)c1OC; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ccnc(Nc4ccccc4)n3)c2c1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3ncc4ccccc4n3)n2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+COc1ncccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+COc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['COc1ccc(C(=O)C=CN(C)C)cc1', 'COc1ccc(-c2ccnc(Cl)n2)cc1', 'Brc1ccccc1', 'COc1ccc(-c2ccnc(N)n2)cc1', 'COc1ccc(-c2ccnc(SC)n2)cc1']; ['N=C(N)Nc1ccccc1', 'Nc1ccccc1', 'COc1ccc(-c2ccnc(N)n2)cc1', 'Ic1ccccc1', 'Nc1ccccc1']; [0.999994158744812, 0.9999306201934814, 0.9988176226615906, 0.9978083372116089, 0.9970487356185913]
+Cc1cc(Nc2ccnc(Nc3ccccc3)n2)sn1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cnc4cccnn34)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3ccc(N4CCOCC4)cc3)n2)cc1; ['CN(C)C=CC(=O)c1ccc(N2CCOCC2)cc1']; ['N=C(N)Nc1ccccc1']; [1.0]
+N#Cc1ccc(O)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+Oc1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3nccc4ccccc34)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3nc4ccccc4[nH]3)n2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccnc(Nc3ccccc3)n2)c1)C1CC1; [None]; [None]; [0]
+c1ccc(Nc2nccc(Nc3ncccn3)n2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccnc(Nc4ccccc4)n3)cc2)CC1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3ccnc(Nc4ccccc4)n3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(Nc3ccncn3)n2)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1)N1CCOCC1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cccc(C4CCNCC4)c3)n2)cc1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['CN(C)/C=C/C(=O)c1ccc(C(F)(F)F)cc1', 'CN(C)C=CC(=O)c1ccc(C(F)(F)F)cc1', 'Brc1ccccc1', 'Ic1ccccc1', 'Clc1ccccc1']; ['N=C(N)Nc1ccccc1', 'N=C(N)Nc1ccccc1', 'Nc1nccc(-c2ccc(C(F)(F)F)cc2)n1', 'Nc1nccc(-c2ccc(C(F)(F)F)cc2)n1', 'Nc1nccc(-c2ccc(C(F)(F)F)cc2)n1']; [0.9999995231628418, 0.9999995231628418, 0.9999570846557617, 0.999866247177124, 0.9997093677520752]
+OCCOc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2ccnc(Nc3ccccc3)n2)nc1)N1CCOCC1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccnc(Nc3ccccc3)n2)s1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['c1ccc(Nc2ncccn2)cc1']; [0.9981634616851807]
+CN(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3ccnc(Nc4ccccc4)n3)cc2C1; [None]; [None]; [0]
+Brc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['CN(C)/C=C/C(=O)c1ccc(Br)cc1', 'CN(C)C=CC(=O)c1ccc(Br)cc1', 'Clc1nccc(-c2ccc(Br)cc2)n1', 'Ic1ccccc1', 'Brc1ccccc1']; ['N=C(N)Nc1ccccc1', 'N=C(N)Nc1ccccc1', 'Nc1ccccc1', 'Nc1nccc(-c2ccc(Br)cc2)n1', 'Nc1nccc(-c2ccc(Br)cc2)n1']; [0.9999995231628418, 0.9999995231628418, 0.9999732971191406, 0.9997051954269409, 0.980894923210144]
+CS(=O)(=O)N1CCC(c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3ccnc(Nc4ccccc4)n3)c2)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2ccnc(Nc3ccccc3)n2)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2ccnc(Nc3ccccc3)n2)nc(N)n1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1ccnc(Nc2ccccc2)n1; ['COc1ccc(Cl)cc1-c1ccnc(Cl)n1']; ['Nc1ccccc1']; [0.9996005296707153]
 CCCOc1ccc(-c2ccnc(Nc3ccccc3)n2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3ccn4nccc4n3)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3c[nH]c4ccccc34)n2)cc1; ['Clc1nccc(-c2c[nH]c3ccccc23)n1']; ['Nc1ccccc1']; [0.9999985694885254]
+c1ccc(Nc2nccc(-c3ccccc3-n3cccn3)n2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)c(C)c1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3ccc4c(c3)CCO4)n2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccnc(Nc3ccccc3)n2)c1; ['CC(=O)Nc1cccc(C(=O)C=CN(C)C)c1']; ['N=C(N)Nc1ccccc1']; [0.9999984502792358]
+COc1cc(OC)c(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cc(-c4ccccc4)[nH]n3)n2)cc1; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3ccnc(Nc4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cccc4c3OCO4)n2)cc1; [None]; [None]; [0]
+COc1cc(-c2ccnc(Nc3ccccc3)n2)ccc1O; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['CN(C)/C=C/C(=O)c1ccc(C(C)(C)C)cc1', 'CN(C)C=CC(=O)c1ccc(C(C)(C)C)cc1']; ['N=C(N)Nc1ccccc1', 'N=C(N)Nc1ccccc1']; [0.9999996423721313, 0.9999996423721313]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3ccnc(Nc4ccccc4)n3)nc2c1F; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3scc4c3OCCO4)n2)cc1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cnc4ccccc4c3)n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
+CC1(COc2ccnc(Nc3ccccc3)n2)COC1; [None]; [None]; [0]
+CSc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3ccnc(Nc4ccccc4)n3)n2)c1; [None]; [None]; [0]
+Nc1nc(-c2ccnc(Nc3ccccc3)n2)cs1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cc4ccccc4s3)n2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3ccnc(Nc4ccccc4)n3)cc2)CC1; [None]; [None]; [0]
+COc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1OC; ['COc1ccc(C(=O)C=CN(C)C)cc1OC']; ['N=C(N)Nc1ccccc1']; [0.9999996423721313]
+Fc1ccc(-c2ccnc(Nc3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3ccnc(Nc4ccccc4)n3)ccc2N1; [None]; [None]; [0]
+Clc1ccc(-c2ccnc(Nc3ccccc3)n2)c(Cl)c1; ['CN(C)/C=C/C(=O)c1ccc(Cl)cc1Cl', 'CN(C)C=CC(=O)c1ccc(Cl)cc1Cl']; ['N=C(N)Nc1ccccc1', 'N=C(N)Nc1ccccc1']; [0.9999667406082153, 0.9999667406082153]
+CCc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+Brc1cnc(-c2ccnc(Nc3ccccc3)n2)nc1; [None]; [None]; [0]
+Cc1cc(-c2ccnc(Nc3ccccc3)n2)nc(N)n1; [None]; [None]; [0]
+COc1ccc(CNc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+COc1cc(-c2ccnc(Nc3ccccc3)n2)ccc1N1CCOCC1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2ccnc(Nc3ccccc3)n2)C1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3ncc4cccn4n3)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cc4ccccn4n3)n2)cc1; [None]; [None]; [0]
+COc1ccc2cccc(-c3ccnc(Nc4ccccc4)n3)c2c1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3ccnc(Nc4ccccc4)n3)ccc2O1; [None]; [None]; [0]
+Cn1cc(-c2ccnc(Nc3ccccc3)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3ccnc(Nc4ccccc4)n3)c2c1; [None]; [None]; [0]
+Cc1nc(Nc2ccnc(Nc3ccccc3)n2)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2ccnc(Nc3ccccc3)n2)nn1C; [None]; [None]; [0]
+Cc1csc2c(-c3ccnc(Nc4ccccc4)n3)ncnc12; [None]; [None]; [0]
+COc1cc(F)c(-c2ccnc(Nc3ccccc3)n2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2ccnc(Nc3ccccc3)n2)ccc1Cl; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+OCCn1cc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
+Clc1cnc(-c2ccnc(Nc3ccccc3)n2)nc1; [None]; [None]; [0]
+O=C(Nc1ccnc(Nc2ccccc2)n1)c1ccco1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+COc1cc(-c2ccnc(Nc3ccccc3)n2)c(OC)cc1Br; [None]; [None]; [0]
 Nc1cc(-c2ccnc(Nc3ccccc3)n2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)nc1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1ccnc(Nc3ccccc3)n1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3ccnc(Nc4ccccc4)n3)cc2c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2ccnc(Nc3ccccc3)n2)CC1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cc4ccccc4o3)n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3ccc4cn[nH]c4c3)n2)cc1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+CCn1cc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cc(-c4cccnc4)ccn3)n2)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3ccnc(Nc4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(-c2ccnc(Nc3ccccc3)n2)c2ccccc21; ['Cn1cc(-c2ccnc(Cl)n2)c2ccccc21']; ['Nc1ccccc1']; [0.9999840259552002]
+c1ccc(Nc2nccc(-c3ncc4sccc4n3)n2)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; ['FC(F)(F)Oc1ccc(-c2ccnc(Cl)n2)cc1']; ['Nc1ccccc1']; [0.9999851584434509]
+O=C(Nc1cccc(-c2ccnc(Nc3ccccc3)n2)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3ccnc(Nc4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccnc(Nc3ccccc3)n2)cn1; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccnc(Nc4ccccc4)n3)ccc21; [None]; [None]; [0]
+CCc1cccc(-c2ccnc(Nc3ccccc3)n2)n1; [None]; [None]; [0]
 c1ccc(Nc2nccc(-c3ncn4c3CCCC4)n2)cc1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ccnc(Nc4ccccc4)n3)ccc12; [None]; [None]; [0]
+Cc1cc(-c2ccnc(Nc3ccccc3)n2)cc(C)c1OCCO; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3ccnc(Nc4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1ccnc(Nc2ccccc2)n1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3ccnc(Nc4ccccc4)n3)ccc21; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3ccnc(Nc4ccccc4)n3)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1ccnc(Nc2ccccc2)n1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+OCCc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3ccnc(Nc4ccccc4)n3)cc2)n1C; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
-Cn1nc(-c2ccnc(Nc3ccccc3)n2)cc1C(C)(C)O; [None]; [None]; [0]
 Cc1cc(Nc2ccnc(Nc3ccccc3)n2)ncc1F; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+Fc1ccc(Nc2ccnc(Nc3ccccc3)n2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)c(OC)c1; [None]; [None]; [0]
+c1ccc(Nc2nccc(Nc3ccccn3)n2)cc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+Cn1nc(-c2ccnc(Nc3ccccc3)n2)cc1C(C)(C)O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+Oc1cc(-c2ccnc(Nc3ccccc3)n2)ccc1Cl; [None]; [None]; [0]
+Fc1ccc(Oc2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1ccnc(Nc3ccccc3)n1)OCO2; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2nc(N)ncc2F)c1; ['N#Cc1ccc(O)c(B(O)O)c1']; ['Nc1ncc(F)c(Cl)n1']; [0.9887787699699402]
+COc1ccc(-c2nc(N)ncc2F)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1']; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9998705983161926, 0.9998670220375061, 0.9994888305664062, 0.9968655109405518]
+Cc1nc(C(C)(C)O)sc1-c1nc(N)ncc1F; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cccc(O)c2)n1; ['Nc1ncc(F)c(Cl)n1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['OB(O)c1cccc(O)c1', 'Nc1ncc(F)c(Cl)n1']; [0.9967964291572571, 0.9862264394760132]
+Nc1ncc(F)c(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc(N3CCOCC3)cc2)n1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Brc1ccc(N2CCOCC2)cc1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ncc(F)c(Cl)n1']; [0.9999921321868896, 0.9999685287475586, 0.99970543384552]
+Nc1ncc(F)c(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cccc(NC(=O)C3CC3)c2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(Nc2ncccn2)n1; ['Nc1ncc(F)c(Cl)n1']; ['Nc1ncccn1']; [0.9998950958251953]
+Nc1ncc(F)c(-c2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc(N)ncc2F)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999738931655884, 0.9998672008514404, 0.999337911605835]
+Nc1ncc(F)c(-c2ccc(C(=O)Nc3ccccc3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; ['Nc1ncc(F)c(Cl)n1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9999966025352478, 0.9999770522117615, 0.9998492002487183]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc(N)ncc3F)cc2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cccc4ncccc34)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3n[nH]c4ccccc34)n2)cc1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+Oc1ccc(-c2ccnc(Nc3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+Oc1ccc(-c2ccnc(Nc3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+Nc1nccc(-c2ccnc(Nc3ccccc3)n2)n1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccnc(Nc4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)o1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3ccnc(Nc4ccccc4)n3)cc2)c(O)c1; [None]; [None]; [0]
+Brc1cccc(-c2ccnc(Nc3ccccc3)n2)c1; ['CN(C)/C=C/C(=O)c1cccc(Br)c1', 'CN(C)C=CC(=O)c1cccc(Br)c1', 'Clc1nccc(-c2cccc(Br)c2)n1', 'Ic1ccccc1', 'Fc1ccccc1', 'Brc1ccccc1']; ['N=C(N)Nc1ccccc1', 'N=C(N)Nc1ccccc1', 'Nc1ccccc1', 'Nc1nccc(-c2cccc(Br)c2)n1', 'Nc1nccc(-c2cccc(Br)c2)n1', 'Nc1nccc(-c2cccc(Br)c2)n1']; [0.9999990463256836, 0.9999990463256836, 0.9999732971191406, 0.999774694442749, 0.9930840134620667, 0.9835649728775024]
+c1ccc(Nc2nccc(-c3ccc4ccccc4c3)n2)cc1; ['CN(C)/C=C/C(=O)c1ccc2ccccc2c1', 'CN(C)C=CC(=O)c1ccc2ccccc2c1', 'Clc1nccc(-c2ccc3ccccc3c2)n1', 'Brc1ccccc1', 'Ic1ccccc1', 'Clc1ccccc1', 'Nc1nccc(-c2ccc3ccccc3c2)n1']; ['N=C(N)Nc1ccccc1', 'N=C(N)Nc1ccccc1', 'Nc1ccccc1', 'Nc1nccc(-c2ccc3ccccc3c2)n1', 'Nc1nccc(-c2ccc3ccccc3c2)n1', 'Nc1nccc(-c2ccc3ccccc3c2)n1', 'c1ccccc1']; [0.999997615814209, 0.999997615814209, 0.99997878074646, 0.9996859431266785, 0.9995401501655579, 0.9985185861587524, 0.9645218849182129]
+COc1cc(CCc2ccnc(Nc3ccccc3)n2)ccc1O; [None]; [None]; [0]
+Oc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1F; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+Clc1ccccc1OCc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
 c1ccc(Nc2nccc(-c3cnn4ncccc34)n2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2ccnc(Nc3ccccc3)n2)c(O)c1; [None]; [None]; [0]
+Fc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+Nc1cc(-c2ccnc(Nc3ccccc3)n2)ccn1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3c[nH]c4cnccc34)n2)cc1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+Oc1ncc(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccnc(Nc3ccccc3)n2)c[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccnc(Nc4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccnc(Nc4ccccc4)n3)ccc12; [None]; [None]; [0]
+COc1cc(CCc2ccnc(Nc3ccccc3)n2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3nc4ccccc4s3)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3cnc4[nH]ccc4c3)n2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+O=C1Cc2cc(-c3ccnc(Nc4ccccc4)n3)ccc2N1; [None]; [None]; [0]
+Oc1cncc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccnc(Nc4ccccc4)n3)ccc12; [None]; [None]; [0]
-Oc1cc(-c2ccnc(Nc3ccccc3)n2)nc2ccnn12; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccnc(Nc3ccccc3)n2)n1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccnc(Nc3ccccc3)n2)c1C; [None]; [None]; [0]
+FC(F)c1cc(-c2ccnc(Nc3ccccc3)n2)[nH]n1; [None]; [None]; [0]
+Clc1cnccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+CCc1sccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+CNc1nc(-c2ccnc(Nc3ccccc3)n2)ncc1F; [None]; [None]; [0]
 Cc1oc(-c2ccnc(Nc3ccccc3)n2)cc1C(=O)[O-]; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2ccnc(Nc3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+c1ccc(Nc2nccc(Nc3ccncc3)n2)cc1; [None]; [None]; [0]
+c1ccc(Nc2nccc(-c3ccc4c(c3)CCN4)n2)cc1; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3ccnc(Nc4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+Oc1cc(-c2ccnc(Nc3ccccc3)n2)nc2ccnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
 CN(c1ccnc(Nc2ccccc2)n1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Fc1ccc2n[nH]c(-c3ccnc(Nc4ccccc4)n3)c2c1; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+Cc1cc(-c2ccnc(Nc3ccccc3)n2)cc(C)c1O; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccnc(Nc4ccccc4)n3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2ccnc(Nc3ccccc3)n2)ccc1C(N)=O; [None]; [None]; [0]
+Oc1c(F)cc(-c2ccnc(Nc3ccccc3)n2)cc1F; [None]; [None]; [0]
+c1ccc(Nc2nccc(OCc3cccc4ccccc34)n2)cc1; [None]; [None]; [0]
+Fc1ccc(Oc2ccnc(Nc3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1ccnc(Nc2ccccc2)n1; ['Cc1onc(-c2ccccc2)c1C(=O)C=CN(C)C']; ['N=C(N)Nc1ccccc1']; [0.9999988079071045]
+CSc1cccc(-c2ccnc(Nc3ccccc3)n2)c1; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3ccnc(Nc4ccccc4)n3)ccc12; [None]; [None]; [0]
+Fc1ccc(CCc2ccnc(Nc3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+c1ccc(Nc2nccc(CCc3c[nH]c4ccccc34)n2)cc1; [None]; [None]; [0]
+Fc1ccc(COc2ccnc(Nc3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+CCOc1ccc(-c2nc(N)ncc2F)cc1; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1']; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999810457229614, 0.9998295307159424, 0.9996622800827026, 0.9976252913475037]
+Fc1cccc(Cl)c1CNc1ccnc(Nc2ccccc2)n1; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1nc(N)ncc1F; [None]; [None]; [0]
-COc1ncccc1-c1nc(N)ncc1F; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2nc(N)ncc2F)c1; [None]; [None]; [0]
-COc1cc(-c2nc(N)ncc2F)cc(OC)c1OC; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cccc(O)c2)n1; [None]; [None]; [0]
-COc1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cccc(NC(=O)C3CC3)c2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc(N)ncc3F)cc2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2nc(N)ncc2F)cn1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-Nc1ncc(F)c(Nc2ncccn2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(C(=O)Nc3ccccc3)cc2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(OCCO)cc2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(Cc2nccc3ccccc23)n1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2ccnc(Nc3ccccc3)n2)cc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2nc(N)ncc2F)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ncc(F)c(Cl)n1']; [0.9999920129776001]
+CS(=O)(=O)c1cccc(-c2nc(N)ncc2F)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999943971633911, 0.9999810457229614]
+COc1ncccc1-c1nc(N)ncc1F; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1']; [0.9997417330741882, 0.9980201721191406, 0.996918797492981, 0.9850576519966125]
+Cc1ccc2ncn(-c3nc(N)ncc3F)c2c1; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9982163906097412, 0.9971970319747925]
+COc1cc(-c2nc(N)ncc2F)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1']; [0.9982085227966309, 0.997977614402771, 0.9957196712493896, 0.9940418004989624]
+Nc1ncc(F)c(-c2ccc(OCCO)cc2)n1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1']; ['Nc1ncc(F)c(Cl)n1', 'OCCOc1ccc(B(O)O)cc1']; [0.9998266100883484, 0.9995402097702026]
+Nc1ncc(F)c(-c2nccc3ccccc23)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc(C(=O)N3CCOCC3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; ['Nc1ncc(F)c(Cl)n1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9999996423721313, 0.9999971985816956, 0.9999382495880127]
+N#Cc1cccc(Cn2cc(-c3nc(N)ncc3F)cn2)c1; [None]; [None]; [0]
 Nc1ncc(F)c(-c2cccc(C3CCNCC3)c2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(C(=O)N3CCOCC3)cc2)n1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc(N)ncc2F)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999807476997375, 0.999825656414032]
+Nc1ncc(F)c(-c2ccc(C(F)(F)F)cc2)n1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'FC(F)(F)c1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ncc(F)c(Cl)n1']; [0.9998427629470825, 0.9997923970222473, 0.9997366666793823, 0.9989928007125854]
+CN(C)S(=O)(=O)c1ccc(-c2nc(N)ncc2F)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999953508377075, 0.9997491836547852]
 Nc1ncc(F)c(-c2ccc(C(=O)N3CCOCC3)cn2)n1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc(N)ncc2F)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999209046363831, 0.9998764991760254, 0.9997215270996094, 0.9991006851196289]
+Nc1ncc(F)c(-c2ccc3c(c2)CS(=O)(=O)C3)n1; ['Nc1ncc(F)c(Cl)n1']; ['O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9930977821350098]
 C[C@@H](O)COc1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc3c(c2)CS(=O)(=O)C3)n1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(C(F)(F)F)cc2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
 Cc1nc(C)c(-c2nc(N)ncc2F)s1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nc(N)ncc2F)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(F)c(Cl)n1']; [0.9998513460159302]
 CS(=O)(=O)N1CCC(c2nc(N)ncc2F)CC1; [None]; [None]; [0]
+Nc1ncc(F)c(Cc2ccccc2O)n1; [None]; [None]; [0]
+Nc1ncc(Cc2nc(N)ncc2F)cn1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc(Br)cc2)n1; ['Nc1ncc(F)cn1', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', None, 'Brc1ccc(Br)cc1']; ['OB(O)c1ccc(Br)cc1', 'Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(Br)cc1', None, 'Nc1ncc(F)c(Cl)n1']; [0.9997243881225586, 0.9993283152580261, 0.9968754649162292, 0, 0.82059246301651]
 Nc1ncc(F)c([C@H]2CCN(C(=O)c3ccccc3)C2)n1; [None]; [None]; [0]
 CC(C)c1cc(-c2nc(N)ncc2F)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc(N)ncc2F)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999964833259583, 0.9987814426422119]
+CCN(CC)C(=O)c1ccc(-c2nc(N)ncc2F)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999939203262329, 0.9998795986175537, 0.9989887475967407]
 CC(=O)N1CCCN(c2cccc(-c3nc(N)ncc3F)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2nc(N)ncc2F)nc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1nc(N)ncc1F; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O']; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1']; [0.999658465385437, 0.9987072944641113]
+CNS(=O)(=O)c1ccc(-c2nc(N)ncc2F)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999929666519165, 0.9999560117721558]
 Cc1c(C(=O)[O-])cccc1-c1nc(N)ncc1F; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(Br)cc2)n1; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc(N)ncc2F)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1nc(N)ncc1F; [None]; [None]; [0]
-Nc1ncc(F)c(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccccc2-n2cccn2)n1; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Brc1ccccc1-n1cccn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1']; [0.9999564290046692, 0.9998519420623779, 0.9998029470443726, 0.9966133236885071]
 COc1cc(OC)c(-c2nc(N)ncc2F)cc1Cl; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc3c(c2)CCO3)n1; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Brc1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C']; ['OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999970197677612, 0.9999855160713196, 0.9999834895133972, 0.9999752044677734]
+Nc1ncc(F)c(-c2c[nH]c3ccccc23)n1; ['Nc1ncc(F)c(Cl)n1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C']; ['OB(O)c1c[nH]c2ccccc12', 'Nc1ncc(F)c(Cl)n1']; [0.9995699524879456, 0.9986590147018433]
+COc1ccc(Cc2nc(N)ncc2F)cc1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccn3nccc3n2)n1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2nc(N)ncc2F)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999256730079651, 0.9998592734336853, 0.9948480129241943]
+COc1cc(-c2nc(N)ncc2F)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9980617761611938, 0.9935175180435181]
+Nc1ncc(F)c(-c2cccc3c2OCO3)n1; ['Brc1cccc2c1OCO2', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2']; [0.999479353427887, 0.9993845224380493, 0.9915386438369751, 0.9893836975097656]
+Nc1ncc(F)c(-c2scc3c2OCCO3)n1; ['Nc1ncc(F)cn1']; ['c1scc2c1OCCO2']; [0.9970398545265198]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nc(N)ncc2F)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.999951958656311, 0.9999058842658997, 0.9989539384841919, 0.9897489547729492]
 CC(C)c1ccc2nc(-c3nc(N)ncc3F)[nH]c2c1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc3c(c2)CCO3)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cc3ccccc3cn2)n1; [None]; [None]; [0]
 Nc1ncc(F)c(-c2cc(-c3ccccc3)[nH]n2)n1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2nc(N)ncc2F)c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
-COc1cc(-c2nc(N)ncc2F)ccc1O; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cccc3c2OCO3)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cnc3ccccc3c2)n1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nc(N)ncc2F)cn1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc(N)ncc2F)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999995231628418, 0.9999783039093018, 0.9992908239364624]
+CC(C)(C)c1ccc(-c2nc(N)ncc2F)cn1; ['CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999411106109619, 0.9996767044067383, 0.9987109899520874, 0.9959635734558105]
+Nc1ncc(F)c(-c2cnc3ccccc3c2)n1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Brc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1']; [0.998361349105835, 0.9982450604438782, 0.9970979690551758, 0.9689215421676636, 0.8273842334747314]
+Nc1ncc(F)c(Cc2nc3ccc(F)c(F)c3[nH]2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(Cc2nc3c(F)c(F)ccc3[nH]2)n1; [None]; [None]; [0]
+Cc1ccc(-c2nc(N)ncc2F)c(=O)[nH]1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2csc(N)n2)n1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2nc(N)ncc2F)c1; ['COc1cccc(C(N)=O)c1']; ['Nc1ncc(F)c(Cl)n1']; [0.9991230368614197]
+Nc1ncc(F)c(CCCc2ccccc2)n1; ['ICCCc1ccccc1', 'BrCCCc1ccccc1']; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1']; [0.9823628664016724, 0.9753379821777344]
 CC(=O)N[C@@H]1CC[C@@H](c2nc(N)ncc2F)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2nc(N)ncc2F)c1; [None]; [None]; [0]
+CSc1ccc(-c2nc(N)ncc2F)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999648332595825, 0.9999196529388428, 0.9997918605804443, 0.9995908737182617]
+Nc1ncc(F)c(-c2cc3ccccc3s2)n1; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1']; ['OB(O)c1cc2ccccc2s1', 'c1ccc2sccc2c1', 'c1ccc2sccc2c1']; [0.9999444484710693, 0.9946827292442322, 0.9608844518661499]
+Nc1ncc(F)c(Cc2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccn(-c3cccc(Cl)c3)n2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc(F)cc2Cl)n1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Fc1ccc(Br)c(Cl)c1', 'Nc1ncc(F)cn1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(F)cc1Cl', 'Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(F)cc1Cl']; [0.9999414086341858, 0.9967778921127319, 0.9959819316864014, 0.9936450719833374]
 CCN1CCN(Cc2ccc(-c3nc(N)ncc3F)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2nc(N)ncc2F)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2nc(N)ncc2F)c1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc3c(c2)CCC(=O)N3)n1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C']; ['Nc1ncc(F)c(Cl)n1']; [0.9984649419784546]
+COc1ccc(-c2nc(N)ncc2F)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.99985671043396, 0.9993793964385986, 0.9988067150115967, 0.9978723526000977]
 CC[C@@H](CO)c1nc(N)ncc1F; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(F)cc2Cl)n1; [None]; [None]; [0]
+Cc1cc(-c2nc(N)ncc2F)nc(N)n1; [None]; [None]; [0]
+CCc1ccc(-c2nc(N)ncc2F)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.999780535697937, 0.9996217489242554, 0.9974011182785034, 0.9846916198730469]
+Nc1ncc(F)c(-c2ccc(Cl)cc2Cl)n1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Clc1ccc(Br)c(Cl)c1', 'Nc1ncc(F)cn1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(Cl)cc1Cl']; [0.999921441078186, 0.9990493059158325, 0.9936910271644592, 0.9924124479293823]
+Nc1ncc(F)c([C@H](CO)Cc2ccccc2)n1; [None]; [None]; [0]
+Cn1cc(-c2nc(N)ncc2F)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9997268915176392, 0.9995385408401489]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
 Nc1ncc(F)c(-c2ncc(Br)cn2)n1; [None]; [None]; [0]
-COc1ccc(-c2nc(N)ncc2F)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(Cl)cc2Cl)n1; [None]; [None]; [0]
-COc1cc(-c2nc(N)ncc2F)ccc1N1CCOCC1; [None]; [None]; [0]
+COc1cc(-c2nc(N)ncc2F)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999703168869019, 0.9999637603759766]
+CC1(C)Cc2cc(-c3nc(N)ncc3F)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3nc(N)ncc3F)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['Nc1ncc(F)c(Cl)n1']; [0.9991512298583984]
+Nc1ncc(F)c(-c2cccc3ccc(O)cc23)n1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1ncc(F)c(Cl)n1']; [0.9983335733413696]
+Nc1ncc(F)c(CCCn2cncn2)n1; [None]; [None]; [0]
+COc1cc(-c2nc(N)ncc2F)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999871253967285, 0.999970555305481, 0.9998064041137695, 0.9993772506713867]
 Nc1ncc(F)c(-c2ncc3cccn3n2)n1; [None]; [None]; [0]
+COc1cc(F)c(-c2nc(N)ncc2F)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.998603105545044, 0.9963849782943726, 0.9937322735786438, 0.8754697442054749]
+Nc1ncc(F)c(-c2cnn(CCO)c2)n1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Nc1ncc(F)c(Cl)n1']; [0.9897481203079224]
 Nc1ncc(F)c(-c2cc3ccccn3n2)n1; [None]; [None]; [0]
-Cn1cc(-c2nc(N)ncc2F)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3nc(N)ncc3F)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3nc(N)ncc3F)c2c1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cccc3ccc(O)cc23)n1; [None]; [None]; [0]
-COc1cc(F)c(-c2nc(N)ncc2F)cc1OC; [None]; [None]; [0]
-COc1cc(-c2nc(N)ncc2F)ccc1Cl; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ncc(Cl)cn2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc(N)ncc2F)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.999998152256012, 0.9999905824661255, 0.999841570854187]
+COc1cc(-c2nc(N)ncc2F)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9993517398834229, 0.9984786510467529, 0.979752242565155]
+Nc1cc(-c2nc(N)ncc2F)c2cc[nH]c2n1; ['Nc1cc(Br)c2cc[nH]c2n1']; ['Nc1ncc(F)c(Cl)n1']; [0.9803323745727539]
 Cc1csc2c(-c3nc(N)ncc3F)ncnc12; [None]; [None]; [0]
-Nc1cc(-c2nc(N)ncc2F)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(-c2nc(N)ncc2F)c(OC)cc1Br; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ncc(Cl)cn2)n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc(N)ncc2F)nc1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cccc(C(=O)Nc3cn[nH]c3)c2)n1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2nc(N)ncc2F)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1']; [0.9999390244483948, 0.9997714757919312, 0.9991896748542786, 0.9950674772262573]
+COc1ccc(OC)c(Cc2nc(N)ncc2F)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2nc(N)ncc2F)CC1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1nc(N)ncc1F)cn2C; ['COc1ccc2c(ccn2C)c1']; ['Nc1ncc(F)c(Cl)n1']; [0.9998195171356201]
+CCn1cc(-c2nc(N)ncc2F)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ncc(F)c(Cl)n1']; [0.9755163788795471]
 CCNC(=O)N1CCC(c2nc(N)ncc2F)CC1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cccc(C(=O)Nc3cn[nH]c3)c2)n1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2nc(N)ncc2F)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1nc(N)ncc1F)cn2C; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2nc(N)ncc2F)c1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc3cn[nH]c3c2)n1; ['CC(=O)n1ncc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Nc1ncc(F)c(Cl)n1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1ncc(F)c(Cl)n1']; [0.9999926090240479, 0.9991083145141602, 0.991412341594696]
 COc1ccc2oc(-c3nc(N)ncc3F)cc2c1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc3cn[nH]c3c2)n1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1nc(N)ncc1F; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ncc(F)c(Cl)n1']; [0.9997606873512268]
 C[NH+](C)Cc1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2nc(N)ncc2F)c1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cc(-c3cccnc3)ccn2)n1; [None]; [None]; [0]
 Nc1ncc(F)c(-c2cc3ccccc3o2)n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cc(-c3cccnc3)ccn2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc(OC(F)(F)F)cc2)n1; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)Oc1ccc(Br)cc1']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.999999463558197, 0.9999985694885254, 0.9999974966049194, 0.9999773502349854]
+COc1ccc(F)c(C(=O)Nc2nc(N)ncc2F)c1; ['COc1ccc(F)c(C(N)=O)c1']; ['Nc1ncc(F)c(Cl)n1']; [0.9938273429870605]
+COc1ccc2nc(-c3nc(N)ncc3F)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1nc(N)ncc1F; [None]; [None]; [0]
 Nc1ncc(F)c(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1nc(N)ncc1F; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
 Nc1ncc(F)c(-c2cccc(NC(=O)N3CCCC3)c2)n1; [None]; [None]; [0]
-COc1ccc2nc(-c3nc(N)ncc3F)[nH]c2c1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(OC(F)(F)F)cc2)n1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2nc(N)ncc2F)c1; [None]; [None]; [0]
-Cn1cc(-c2nc(N)ncc2F)c2ccccc21; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3nc(N)ncc3F)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(-c2nc(N)ncc2F)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9998875856399536, 0.9898892641067505]
+Cn1ncc2cc(-c3nc(N)ncc3F)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1']; [0.9999254941940308, 0.9999047517776489, 0.9977399706840515, 0.9739218950271606]
+CN(C)c1ccc(-c2nc(N)ncc2F)cn1; ['CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(Br)cn1']; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999680519104004, 0.9997614622116089, 0.9993987083435059, 0.9756007194519043]
+Cc1cc(-c2nc(N)ncc2F)cc(C)c1OCCO; [None]; [None]; [0]
 CCc1cccc(-c2nc(N)ncc2F)n1; [None]; [None]; [0]
 Nc1ncc(F)c(-c2ncn3c2CCCC3)n1; [None]; [None]; [0]
-Cc1cc(-c2nc(N)ncc2F)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc(N)ncc2F)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3nc(N)ncc3F)ccc12; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3nc(N)ncc3F)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3nc(N)ncc3F)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999083280563354, 0.999835729598999]
+CC(C)(O)c1ccc2cc(-c3nc(N)ncc3F)[nH]c2c1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cccc(N3CCCC3=O)c2)n1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['Nc1ncc(F)c(Cl)n1']; [0.9999522566795349]
+Nc1ncc(F)c(-c2ccc(CCO)cc2)n1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1']; ['Nc1ncc(F)c(Cl)n1', 'OCCc1ccc(B(O)O)cc1']; [0.9979088306427002, 0.9916419982910156]
+Nc1ncc(F)c(NC(=O)c2cccc(OC(F)(F)F)c2)n1; ['NC(=O)c1cccc(OC(F)(F)F)c1']; ['Nc1ncc(F)c(Cl)n1']; [0.9998786449432373]
 CC(=O)N1CCC(n2cc(-c3nc(N)ncc3F)cn2)CC1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cccc(N3CCCC3=O)c2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(CCO)cc2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(NC(=O)c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc(N)ncc2F)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1ncc(F)c(Cl)n1']; [0.9999752044677734]
 CN(C)C(=O)c1ccc(-c2nc(N)ncc2F)c(Cl)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3nc(N)ncc3F)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1nc(N)ncc1F; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Nc1ncc(F)c(Cl)n1']; [0.9999642372131348]
 COc1cc(N2CCNCC2)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc(N)ncc2F)c(OC)c1; [None]; [None]; [0]
-Cn1nc(-c2nc(N)ncc2F)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2nc(N)ncc2F)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3nc(N)ncc3F)cc2)n1C; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2nc(N)ncc2F)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ncc(F)c(Cl)n1']; [0.9957312345504761]
+CCNC(=O)Cc1ccc(-c2nc(N)ncc2F)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1']; [0.9997621178627014]
+CCNC(=O)c1ccc(-c2nc(N)ncc2F)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(F)c(Cl)n1']; [0.9998759031295776]
+Nc1ncc(F)c(-c2c(Cl)ccc3c2OCO3)n1; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2']; [0.9955694079399109, 0.9861880540847778]
+CN(C)C(=O)c1ccc(-c2nc(N)ncc2F)nc1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc(Cl)c(O)c2)n1; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9997820854187012, 0.9997725486755371]
 C[C@H](CS(C)(=O)=O)c1nc(N)ncc1F; [None]; [None]; [0]
+Nc1ncc(F)c(-c2c(Cl)cccc2Cl)n1; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9991323947906494, 0.9987839460372925]
 CNC(=O)c1ccc(C)c(-c2nc(N)ncc2F)c1; [None]; [None]; [0]
+Cn1nc(-c2nc(N)ncc2F)cc1C(C)(C)O; [None]; [None]; [0]
+Nc1ncc(F)c(Oc2ccc(F)cc2)n1; ['Nc1ncc(F)c(Cl)n1']; ['Oc1ccc(F)cc1']; [0.9995613694190979]
 Cc1ccc(C(=O)NCCO)cc1-c1nc(N)ncc1F; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(O)cc2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cccc3ncccc23)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(Cl)c(O)c2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc(O)cc2F)n1; ['Nc1ncc(F)c(Cl)n1']; ['OB(O)c1ccc(O)cc1F']; [0.9806004762649536]
+Nc1ncc(F)c(-c2cccc3ncccc23)n1; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cccc2ncccc12', 'Nc1ncc(F)c(Cl)n1', 'Brc1cccc2ncccc12', 'Ic1cccc2ncccc12', 'Nc1ncc(F)cn1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'OB(O)c1cccc2ncccc12', 'Nc1ncc(F)cn1', 'Nc1ncc(F)cn1', 'OB(O)c1cccc2ncccc12']; [0.9997621178627014, 0.9995279908180237, 0.9956046938896179, 0.9896613359451294, 0.9633772373199463, 0.9593285918235779]
+Nc1ncc(F)c(-c2ccc(O)cc2Cl)n1; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Nc1ncc(F)c(Cl)n1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(O)cc1Cl']; [0.9993774890899658, 0.9945744872093201]
+COc1ccc(F)cc1-c1nc(N)ncc1F; ['COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O']; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1']; [0.9999562501907349, 0.9993898868560791]
+COc1cc(C(N)=O)ccc1-c1nc(N)ncc1F; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999759197235107, 0.9996979236602783]
+NC(=O)c1ccc(-c2nc(N)ncc2F)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9998383522033691, 0.9996689558029175, 0.9989113211631775]
+COc1cc(F)ccc1-c1nc(N)ncc1F; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999058246612549, 0.9996678829193115, 0.9995511770248413, 0.9993308186531067]
+Nc1ncc(F)c(-c2cn[nH]c2Cl)n1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2nc(N)ncc2F)o1; ['COC(=O)c1ccc(B(O)O)o1']; ['Nc1ncc(F)c(Cl)n1']; [0.9997613430023193]
 Nc1ncc(F)c(-c2n[nH]c3ccccc23)n1; [None]; [None]; [0]
-Cn1c(-c2nc(N)ncc2F)nc2ccccc21; [None]; [None]; [0]
-Nc1ncc(F)c(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
-Nc1ncc(F)c(Oc2ccc(F)cc2)n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc(N)ncc2F)c(F)c1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(O)cc2Cl)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cccc(Br)c2)n1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', None]; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', None]; [0.999683678150177, 0.9996669888496399, 0.9996514320373535, 0]
 Nc1nccc(-c2nc(N)ncc2F)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cn[nH]c2Cl)n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3nc(N)ncc3F)cc2[nH]1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc(O)c(F)c2)n1; ['Nc1ncc(F)c(Cl)n1', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C']; ['OB(O)c1ccc(O)c(F)c1', 'Nc1ncc(F)c(Cl)n1']; [0.9942272305488586, 0.9897007942199707]
+Nc1ncc(F)c(-c2ccc3ccccc3c2)n1; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', None, 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ncc(F)c(Cl)n1', None, 'Nc1ncc(F)c(Cl)n1']; [0.9998447895050049, 0.999794602394104, 0.9993729591369629, 0, 0.994658350944519]
+COC(=O)c1ccc(Cl)c(-c2nc(N)ncc2F)c1; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999916553497314, 0.9995273351669312]
 Nc1ncc(F)c(-c2ccc(-c3ccc(O)cc3O)cc2)n1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2nc(N)ncc2F)o1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cnn3ncccc23)n1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Nc1ncc(F)c(Cl)n1']; [0.9996552467346191]
+Nc1cc(-c2nc(N)ncc2F)ccn1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.999943733215332, 0.9960601329803467, 0.980574369430542]
 COc1cc(CCc2nc(N)ncc2F)ccc1O; [None]; [None]; [0]
-Nc1ncc(F)c(COc2cccc(Cl)c2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cccc(Br)c2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cc(O)ccc2Cl)n1; ['Nc1ncc(F)c(Cl)n1']; ['OB(O)c1cc(O)ccc1Cl']; [0.9789260029792786]
+Nc1ncc(F)c(-c2ccc(F)c(Cl)c2)n1; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Fc1ccc(Br)cc1Cl']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1', 'Nc1ncc(F)c(Cl)n1']; [0.999957263469696, 0.9996445178985596, 0.9992073178291321, 0.9970911741256714]
+Nc1ncc(F)c(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1nc(N)ncc1F; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9950834512710571, 0.9801296591758728]
+Cc1ccc2[nH]ncc2c1-c1nc(N)ncc1F; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1']; [0.999936044216156, 0.9961104393005371, 0.9949925541877747, 0.9936853647232056]
 Nc1ncc(F)c(-c2ccc(O)cc2O)n1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2nc(N)ncc2F)c1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cnn3ncccc23)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cnc(O)c(Cl)c2)n1; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C']; ['Nc1ncc(F)c(Cl)n1']; [0.9955391883850098]
 Nc1ncc(F)c(COc2ccccc2Cl)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(F)c(Cl)c2)n1; [None]; [None]; [0]
-Nc1ncc(F)c([C@H](CO)c2ccccc2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(CCc2ccc(Cl)cc2)n1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1nc(N)ncc1F; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1nc(N)ncc1F; [None]; [None]; [0]
-Nc1ncc(F)c(-c2c(Cl)ccc3c2OCO3)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cc(O)ccc2Cl)n1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1nc(N)ncc1F; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cnc(O)c(Cl)c2)n1; [None]; [None]; [0]
 NC(=O)c1cc(-c2nc(N)ncc2F)c[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2nc(N)ncc2F)c1; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9998633861541748, 0.999599814414978, 0.9994682669639587, 0.9686890244483948]
+Nc1ncc(F)c(-c2[nH]cnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cnc3[nH]ccc3c2)n1; ['Nc1ncc(F)c(Cl)n1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C']; ['OB(O)c1cnc2[nH]ccc2c1', 'Nc1ncc(F)c(Cl)n1']; [0.9990934133529663, 0.9917643666267395]
+NC(=O)Nc1ccc(-c2nc(N)ncc2F)cc1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['Nc1ncc(F)c(Cl)n1']; [0.999929666519165]
+Cc1nc2ccc(-c3nc(N)ncc3F)cc2[nH]1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9993993043899536, 0.7885511517524719]
+CS(=O)(=O)c1ccc(-c2nc(N)ncc2F)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1']; [0.9999992847442627, 0.9999908208847046, 0.9999839067459106, 0.9999359846115112]
 CNC(=O)c1cccc2cc(-c3nc(N)ncc3F)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3nc(N)ncc3F)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2nc(N)ncc2F)cc1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cncc(O)c2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc3c(c2)CC(=O)N3)n1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1nc(N)ncc1F; [None]; [None]; [0]
-CNc1nccc(-c2nc(N)ncc2F)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1nc(N)ncc1F; [None]; [None]; [0]
+COc1cc(CCc2nc(N)ncc2F)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1']; ['Nc1ncc(F)c(Cl)n1']; [0.9973344802856445]
+Nc1ncc(F)c(-c2nc3ccccc3s2)n1; ['CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['Nc1ncc(F)c(Cl)n1']; [0.999886691570282]
+Nc1ncc(F)c(-c2cncc(O)c2)n1; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1cncc(O)c1']; [0.9480329751968384, 0.9425772428512573]
+CCc1cc(O)ccc1-c1nc(N)ncc1F; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ncc(F)c(Cl)n1']; [0.9998133182525635]
+CCc1cc(O)c(F)cc1-c1nc(N)ncc1F; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ncc(F)c(Cl)n1']; [0.9985145330429077]
+Cc1cc(O)ccc1-c1nc(N)ncc1F; ['Cc1cc(O)ccc1B(O)O']; ['Nc1ncc(F)c(Cl)n1']; [0.9898176193237305]
+Nc1ncc(F)c(-c2ccc3c(c2)CC(=O)N3)n1; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Nc1ncc(F)c(Cl)n1']; ['O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'Nc1ncc(F)c(Cl)n1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9996371269226074, 0.9995812177658081, 0.9990739822387695, 0.9600033760070801]
+CN(c1cccc(Cl)c1)c1nc(N)ncc1F; ['CNc1cccc(Cl)c1']; ['Nc1ncc(F)c(Cl)n1']; [0.9992625713348389]
 Cc1n[nH]c2cc(N(C)c3nc(N)ncc3F)ccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1nc(N)ncc1F; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1nc(N)ncc1F; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccncc2Cl)n1; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Clc1cnccc1Br', 'Nc1ncc(F)cn1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccncc1Cl', 'Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccncc1Cl']; [0.9997037649154663, 0.9974907040596008, 0.976921558380127, 0.9325852394104004]
 CCc1sccc1-c1nc(N)ncc1F; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cc(Cl)c(O)c(Cl)c2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc3c(c2)CCN3)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cc(O)n3nccc3n2)n1; [None]; [None]; [0]
+CNc1nccc(-c2nc(N)ncc2F)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cc(Cl)c(O)c(Cl)c2)n1; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9991416335105896, 0.9790467023849487]
+C[C@H](CC(N)=O)c1nc(N)ncc1F; [None]; [None]; [0]
+Cc1n[nH]c(-c2nc(N)ncc2F)c1C; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc3c(c2)CCN3)n1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Nc1ncc(F)c(Cl)n1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc2c(c1)CCN2']; [0.9990866184234619, 0.9975889921188354]
+Nc1ncc(F)c(Nc2ccncc2)n1; ['Nc1ccncc1']; ['Nc1ncc(F)c(Cl)n1']; [0.9999493360519409]
+Nc1ncc(F)c(-c2cc(C(F)F)n[nH]2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc3[nH]c(=O)[nH]c3c2)n1; ['Nc1ncc(F)c(Cl)n1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C']; ['O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'Nc1ncc(F)c(Cl)n1']; [0.9994837641716003, 0.9983632564544678]
+CNc1nc(-c2nc(N)ncc2F)ncc1F; [None]; [None]; [0]
+Nc1ncc(F)c(-c2ccc(Br)cc2F)n1; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1']; ['Nc1ncc(F)c(Cl)n1', 'OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F']; [0.9967437982559204, 0.9940720200538635, 0.9938812255859375]
 Cc1oc(-c2nc(N)ncc2F)cc1C(=O)[O-]; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc3[nH]c(=O)[nH]c3c2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cc(O)n3nccc3n2)n1; [None]; [None]; [0]
+CN(c1nc(N)ncc1F)c1cccc2[nH]ncc12; ['CNc1nc(N)ncc1F', 'Brc1cccc2[nH]ncc12', 'CNc1cccc2[nH]ncc12']; ['Ic1cccc2[nH]ncc12', 'CNc1nc(N)ncc1F', 'Nc1ncc(F)c(Cl)n1']; [0.9999854564666748, 0.9999830722808838, 0.9997309446334839]
+Nc1ncc(F)c(-c2cc(O)cc(Br)c2)n1; ['Nc1ncc(F)c(Cl)n1']; ['OB(O)c1cc(O)cc(Br)c1']; [0.9899730682373047]
+Cc1cc(-c2nc(N)ncc2F)cc(C)c1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9893888235092163, 0.8708855509757996]
+Nc1ncc(F)c(-c2ccc(C(=O)NC3CC3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; ['Nc1ncc(F)c(Cl)n1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999924898147583, 0.999970555305481, 0.9995871782302856]
+Cc1nc2ccc(-c3nc(N)ncc3F)cc2o1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.99998939037323, 0.9999078512191772]
+Cc1cc(-c2nc(N)ncc2F)ccc1C(N)=O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9999868869781494, 0.9966347813606262]
+CSc1cccc(-c2nc(N)ncc2F)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1']; ['Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1', 'Nc1ncc(F)c(Cl)n1']; [0.9998278617858887, 0.998181939125061, 0.9941117763519287, 0.9917868971824646]
 Cn1ncc(N)c1-c1nc(N)ncc1F; [None]; [None]; [0]
-Nc1ncc(F)c(Nc2ccncc2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(Br)cc2F)n1; [None]; [None]; [0]
+Nc1ncc(F)c(-c2cc(F)c(O)c(F)c2)n1; ['Nc1ncc(F)c(Cl)n1', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C']; ['OB(O)c1cc(F)c(O)c(F)c1', 'Nc1ncc(F)c(Cl)n1']; [0.9876550436019897, 0.9839414358139038]
+Nc1ncc(F)c(OCc2cccc3ccccc23)n1; ['Nc1ncc(F)c(Cl)n1']; ['OCc1cccc2ccccc12']; [0.9943153262138367]
 Nc1ncc(F)c(-c2[nH]nc3ccc(F)cc23)n1; [None]; [None]; [0]
-Cc1n[nH]c(-c2nc(N)ncc2F)c1C; [None]; [None]; [0]
-CN(c1nc(N)ncc1F)c1cccc2[nH]ncc12; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cc(O)cc(Br)c2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2ccc(C(=O)NC3CC3)cc2)n1; [None]; [None]; [0]
-Cc1cc(-c2nc(N)ncc2F)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3nc(N)ncc3F)cc2o1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2cc(F)c(O)c(F)c2)n1; [None]; [None]; [0]
 Nc1ncc(F)c(-c2ccc3c(=O)[nH][nH]c3c2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(-c2[nH]cnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(OCc2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(F)c(Oc2ccc(F)cc2F)n1; ['Nc1ncc(F)c(Cl)n1']; ['Oc1ccc(F)cc1F']; [0.9999727010726929]
+Nc1ncc(F)c(OCc2ccc(F)cc2F)n1; ['Nc1ncc(F)c(Cl)n1']; ['OCc1ccc(F)cc1F']; [0.9997962117195129]
+Nc1ncc(F)c(NCc2c(F)cccc2Cl)n1; ['NCc1c(F)cccc1Cl']; ['Nc1ncc(F)c(Cl)n1']; [0.9999856352806091]
+Cc1onc(-c2ccccc2)c1-c1nc(N)ncc1F; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O']; ['Nc1ncc(F)cn1', 'Nc1ncc(F)c(Cl)n1']; [0.9999359846115112, 0.9997332692146301]
 Nc1ncc(F)c(CCc2c[nH]c3ccccc23)n1; [None]; [None]; [0]
-Nc1ncc(F)c(OCc2cccc3ccccc23)n1; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3cccc(O)c3)c12; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1']; [0.9999243021011353, 0.999877393245697, 0.9935773611068726, 0.9920392036437988]
 Nc1ncc(F)c(-c2ocnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(Oc2ccc(F)cc2F)n1; [None]; [None]; [0]
-Nc1ncc(F)c(Oc2ccccc2F)n1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1nc(N)ncc1F; [None]; [None]; [0]
 Nc1ncc(F)c(-c2cn[nH]c2-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
-Nc1ncc(F)c(OCc2ccc(F)cc2F)n1; [None]; [None]; [0]
 Nc1ncc(F)c(CCc2ccc(F)cc2F)n1; [None]; [None]; [0]
-Nc1ncc(F)c(NCc2c(F)cccc2Cl)n1; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(O)cc3)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3ccc(Cl)c(O)c3)c12; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1ccc(Cl)c(O)c1', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999921917915344, 0.9999352693557739, 0.9985975623130798, 0.9969557523727417]
+CNS(=O)(=O)c1ccc(-c2c[nH]c3nccc(OC)c23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9999866485595703, 0.999966025352478, 0.9945822954177856, 0.9928054809570312]
+COc1ccnc2[nH]cc(-c3c(Cl)ccc4c3OCO4)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2']; [0.9955613613128662, 0.9927127957344055]
 COc1ccnc2[nH]cc(-c3cccc4ncccc34)c12; [None]; [None]; [0]
-CCc1ccc(-c2c[nH]c3nccc(OC)c23)cc1; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(Cl)c(O)c3)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3c(Cl)cccc3Cl)c12; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]cc(I)c12']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1']; [0.9895524978637695, 0.9855501651763916, 0.9359447360038757, 0.9279308319091797, 0.7961934804916382]
+COc1ccnc2[nH]cc(Oc3ccc(F)cc3)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9985905885696411, 0.998484194278717]
+COc1ccnc2[nH]cc(-c3ccc(C(N)=O)cc3)c12; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.9999971389770508, 0.9999964833259583, 0.9980385303497314, 0.9949867725372314, 0.8102460503578186, 0.8092222213745117, 0.7685786485671997]
+COc1ccnc2[nH]cc(-c3ccc(C(N)=O)cc3F)c12; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1cccc(F)c1']; [0.9999934434890747, 0.9999871850013733, 0.996759295463562, 0.9914474487304688, 0.9851101636886597, 0.9848737716674805, 0.8709352016448975]
 COc1ccnc2[nH]cc(-c3n[nH]c4ccccc34)c12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c[nH]c3nccc(OC)c23)cc1; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3nc4ccccc4n3C)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3c(Cl)cccc3Cl)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(Oc3ccc(F)cc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(C(N)=O)cc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(C(N)=O)cc3F)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(O)cc3Cl)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccnc(N)n3)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3ccc(O)cc3Cl)c12; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]cc(I)c12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1ccc(O)cc1Cl', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(I)c(Cl)c1', 'Oc1cccc(Cl)c1']; [0.9999594688415527, 0.999946117401123, 0.9997501969337463, 0.9990192651748657, 0.9723520278930664, 0.7521388530731201]
+COc1cc(C(N)=O)ccc1-c1c[nH]c2nccc(OC)c12; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1Br']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9999871253967285, 0.9999856352806091, 0.9115666151046753, 0.9067955017089844]
+COc1ccc(F)cc1-c1c[nH]c2nccc(OC)c12; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9998561143875122, 0.9997888803482056, 0.9985931515693665, 0.9972647428512573]
+COc1ccnc2[nH]cc(-c3ccc(O)cc3F)c12; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1ccc(O)cc1F', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Br)c(F)c1']; [0.9999513626098633, 0.9999256730079651, 0.9977290630340576, 0.9854344129562378, 0.9824368953704834]
+COc1cc(F)ccc1-c1c[nH]c2nccc(OC)c12; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B(O)O']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9999243021011353, 0.9998349547386169, 0.9979752898216248, 0.9953062534332275]
+COc1ccnc2[nH]cc(-c3ccnc(N)n3)c12; ['CO']; ['Nc1nccc(-c2c[nH]c3ncccc23)n1']; [0.9578861594200134]
+COc1cc(-c2c[nH]c3nccc(OC)c23)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9999862909317017, 0.9999852180480957, 0.9966037273406982, 0.993327260017395, 0.8285762667655945]
+COc1ccnc2[nH]cc(-c3ccc(C(=O)[O-])cc3)c12; [None]; [None]; [0]
+COC(=O)c1ccc(-c2c[nH]c3nccc(OC)c23)o1; ['COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccco1']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9954444169998169, 0.9873785972595215, 0.7934131622314453]
 COc1ccnc2[nH]cc(-c3cn[nH]c3Cl)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3cccc(Br)c3)c12; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'COc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9999967813491821, 0.9999666213989258, 0.9954066276550293, 0.99347984790802, 0.9890512228012085, 0.9825513362884521, 0.9200513362884521]
+COc1ccnc2[nH]cc(-c3ccc(O)c(F)c3)c12; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1']; [0.9999987483024597, 0.9999970197677612, 0.9994549751281738, 0.9990627765655518]
+COc1ccnc2[nH]cc(-c3cc(F)c4nc(C)[nH]c4c3)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3ccc4ccccc4c3)c12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'Brc1ccc2ccccc2c1', 'COc1ccnc2[nH]ccc12']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'COc1ccnc2[nH]cc(Br)c12', 'Ic1ccc2ccccc2c1']; [0.9999973773956299, 0.9999945163726807, 0.9998195767402649, 0.9993551969528198, 0.9983909130096436, 0.9888195991516113, 0.9311589002609253]
 COc1ccnc2[nH]cc(-c3ccc(-c4ccc(O)cc4O)cc3)c12; [None]; [None]; [0]
-COc1cc(-c2c[nH]c3nccc(OC)c23)ccc1O; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(C(=O)[O-])cc3)c12; [None]; [None]; [0]
-COC(=O)c1ccc(-c2c[nH]c3nccc(OC)c23)o1; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3cn(C)c4ccccc34)c12; ['COc1ccnc2[nH]cc(Br)c12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9998989105224609]
 COc1cc(CCc2c[nH]c3nccc(OC)c23)ccc1O; [None]; [None]; [0]
-COc1ccnc2[nH]cc(COc3cccc(Cl)c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cccc(Br)c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(O)cc3O)c12; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2c[nH]c3nccc(OC)c23)c1; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3ccc(O)cc3O)c12; ['COc1ccnc2[nH]cc(I)c12']; ['Oc1cccc(O)c1']; [0.7511435747146606]
+COc1ccnc2[nH]cc(-c3cnn4ncccc34)c12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['COc1ccnc2[nH]cc(Br)c12']; [0.999800443649292]
+COc1ccnc2[nH]cc(-c3ccc(F)c(Cl)c3)c12; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(I)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl']; [1.0, 1.0, 0.999996542930603, 0.9999947547912598, 0.9999809861183167, 0.9999626874923706]
+COc1ccnc2[nH]cc(-c3ccnc(N)c3)c12; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1']; [0.9999960064888, 0.9999939203262329, 0.9984105825424194, 0.9963418245315552, 0.9840691089630127]
 COc1ccnc2[nH]cc(COc3ccccc3Cl)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cnn4ncccc34)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc([C@H](CO)c3ccccc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(F)c(Cl)c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(CCc3ccc(Cl)cc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cc(O)ccc3C)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3c(C)ccc4[nH]ncc34)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cc(O)ccc3Cl)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3c(Cl)ccc4c3OCO4)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cc(CO)ccc3C)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cnc(O)c(Cl)c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3c[nH]c(C(N)=O)c3)c12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2c[nH]c3nccc(OC)c23)c1; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3[nH]cnc3-c3ccc(F)cc3)c12; ['COc1ccnc2[nH]cc(I)c12']; ['Fc1ccc(-c2cnc[nH]2)cc1']; [0.9987733364105225]
+COc1ccnc2[nH]cc(-c3c(C)ccc4[nH]ncc34)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br']; [0.9999970197677612, 0.9999966621398926, 0.9981831908226013, 0.9970153570175171, 0.9928176999092102]
+COC(=O)c1ccc(Cl)c(-c2c[nH]c3nccc(OC)c23)c1; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9999865293502808, 0.9998646974563599, 0.9993594884872437, 0.9984844923019409, 0.9976398944854736, 0.9970955848693848, 0.9914649128913879, 0.9826863408088684]
+COc1ccnc2[nH]cc(-c3c[nH]c4cnccc34)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9962002038955688, 0.9429609775543213]
+COc1ccnc2[nH]cc(-c3cc(O)ccc3Cl)c12; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(I)c12', 'OB(O)c1cc(O)ccc1Cl']; [0.997207522392273, 0.8505991697311401]
+COc1ccnc2[nH]cc(-c3cnc(O)c(Cl)c3)c12; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'Oc1ncc(Br)cc1Cl']; [0.9999986886978149, 0.9999967813491821, 0.9306538701057434]
+COc1ccnc2[nH]cc(-c3c[nH]c(C(N)=O)c3)c12; ['COc1ccnc2[nH]cc(I)c12']; ['NC(=O)c1cc(Br)c[nH]1']; [0.9269903302192688]
+COc1ccnc2[nH]cc(-c3cc(CO)ccc3C)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1B(O)O']; [0.9999833106994629, 0.9999766945838928, 0.9810856580734253, 0.9692896008491516]
+COc1cc(OC)cc(-c2c[nH]c3nccc(OC)c23)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9999934434890747, 0.9999815225601196, 0.9996392130851746, 0.9994300603866577, 0.9719256162643433]
+COc1ccc(-c2c[nH]c3nccc(OC)c23)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12']; [0.9999947547912598, 0.9999935626983643, 0.9993888139724731, 0.9976874589920044, 0.9734891653060913, 0.8314934968948364]
+CCOc1cccc(-c2c[nH]c3nccc(OC)c23)c1; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(I)c1']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12']; [0.9999878406524658, 0.9999866485595703, 0.9996433258056641, 0.9977124929428101, 0.9785556793212891, 0.9466243982315063, 0.9421247243881226]
+COc1ccnc2[nH]cc(-c3cnc4[nH]ccc4c3)c12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'Brc1cnc2[nH]ccc2c1']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'COc1ccnc2[nH]cc(Br)c12']; [0.9999992251396179, 0.9999991655349731, 0.9998047351837158, 0.9997782707214355, 0.9974280595779419]
+COc1ccnc2[nH]cc(-c3ccc(NC(N)=O)cc3)c12; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9999995231628418, 0.9999982714653015]
+COc1ccnc2[nH]cc(-c3ccc4nc(C)[nH]c4c3)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1']; [0.9999992847442627, 0.9999938607215881]
+COc1ccnc2[nH]cc(-c3ccc(S(C)(=O)=O)cc3)c12; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]ccc12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1']; [0.9999986886978149, 0.9999985694885254, 0.9993225336074829, 0.9979456067085266, 0.9203850030899048]
+COc1ccnc2[nH]cc(-c3nc4ccccc4s3)c12; ['COc1ccnc2[nH]cc(Br)c12']; ['c1ccc2scnc2c1']; [0.9997668266296387]
+COc1ccnc2[nH]cc(-c3cncc(O)c3)c12; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1']; [0.9989238977432251, 0.973039984703064, 0.8472055196762085]
+COc1ccnc2[nH]cc(-c3ccc4c(c3)CC(=O)N4)c12; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1']; [0.999985933303833, 0.9999750852584839, 0.9998589754104614, 0.9994399547576904, 0.9242457151412964]
 CNC(=O)c1cccc2cc(-c3c[nH]c4nccc(OC)c34)ccc12; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c3nccc(OC)c23)cc1OC; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc4nc(C)[nH]c4c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(NC(N)=O)cc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cnc4[nH]ccc4c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(S(C)(=O)=O)cc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3nc4ccccc4s3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cncc(O)c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc4c(c3)CC(=O)N4)c12; [None]; [None]; [0]
+COc1cc(CCc2c[nH]c3nccc(OC)c23)cc(OC)c1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1c[nH]c2nccc(OC)c12; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; [0.9997060298919678, 0.999491810798645]
+CNc1nccc(-c2c[nH]c3nccc(OC)c23)n1; ['CNc1nccc(Cl)n1']; ['COc1ccnc2[nH]cc(Br)c12']; [0.9927500486373901]
+CCc1cc(O)c(F)cc1-c1c[nH]c2nccc(OC)c12; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1Br']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12']; [0.9999959468841553, 0.9999933242797852, 0.9982549548149109]
+COc1ccnc2[nH]cc(-c3ccc(O)cc3C)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B(O)O']; [0.9990754127502441, 0.998110294342041, 0.9825462102890015, 0.9673559665679932]
 COc1ccnc2[nH]cc([C@H](C)CC(N)=O)c12; [None]; [None]; [0]
-CNc1nccc(-c2c[nH]c3nccc(OC)c23)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1c[nH]c2nccc(OC)c12; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1c[nH]c2nccc(OC)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3[nH]nc(C)c3C)c12; [None]; [None]; [0]
 COc1ccnc2[nH]cc(N(C)c3ccc4c(C)n[nH]c4c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(O)cc3C)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(N(C)c3cccc(Cl)c3)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3ccncc3Cl)c12; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12']; ['COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1ccncc1Cl', 'OB(O)c1ccncc1Cl']; [0.9996232986450195, 0.9983761310577393, 0.9981000423431396]
+COc1ccnc2[nH]cc(N(C)c3cccc(Cl)c3)c12; ['CNc1cccc(Cl)c1']; ['COc1ccnc2[nH]cc(Br)c12']; [0.9963093996047974]
 CCc1sccc1-c1c[nH]c2nccc(OC)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cc(Cl)c(O)c(Cl)c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc4c(c3)CCN4)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3cc(Cl)c(O)c(Cl)c3)c12; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cccc1Cl']; [0.9999921917915344, 0.9999719858169556, 0.9987142086029053, 0.9983094930648804, 0.9751027226448059, 0.943789005279541]
+COc1ccnc2[nH]cc(-c3ccc4c(c3)CCN4)c12; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2']; [0.999998152256012, 0.9999971389770508, 0.9990821480751038, 0.9980779886245728]
+COc1ccnc2[nH]cc(-c3cc(C(F)F)n[nH]3)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(Nc3ccncc3)c12; ['COc1ccnc2[nH]cc(Br)c12']; ['Nc1ccncc1']; [0.8840155601501465]
+COc1ccnc2[nH]cc(-c3ccc4[nH]c(=O)[nH]c4c3)c12; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.9999984502792358, 0.9999938011169434, 0.9999061822891235, 0.9998632073402405, 0.9774106740951538]
+COc1ccnc2[nH]cc(-c3ccc(Br)cc3F)c12; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(I)c12', 'OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F']; [0.9999978542327881, 0.9997013807296753, 0.994731068611145]
+CNc1nc(-c2c[nH]c3nccc(OC)c23)ncc1F; [None]; [None]; [0]
 COc1ccnc2[nH]cc(-c3cc(O)n4nccc4n3)c12; [None]; [None]; [0]
 COc1ccnc2[nH]cc(-c3cc(C(=O)[O-])c(C)o3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc4[nH]c(=O)[nH]c4c3)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3[nH]nc4ccc(F)cc34)c12; ['COc1ccnc2[nH]cc(Br)c12']; ['Fc1ccc2n[nH]cc2c1']; [0.9997473955154419]
+CNC(=O)c1ccc(-c2c[nH]c3nccc(OC)c23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12']; [0.9999939799308777, 0.9999868273735046, 0.9939985275268555, 0.9779001474380493]
+COc1ccnc2[nH]cc(-c3cc(O)cc(Br)c3)c12; ['CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'COc1ccnc2[nH]cc(I)c12', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12', 'COc1ccnc2[nH]cc(Br)c12']; ['COc1ccnc2[nH]cc(I)c12', 'OB(O)c1cc(O)cc(Br)c1', 'COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'Oc1cc(Br)cc(Br)c1']; [0.99996417760849, 0.9996073246002197, 0.9989588260650635, 0.9962949156761169, 0.9909713268280029, 0.9078685641288757]
 COc1ccnc2[nH]cc(-c3c(N)cnn3C)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(Nc3ccncc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3[nH]nc4ccc(F)cc34)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(Br)cc3F)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3[nH]nc(C)c3C)c12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c[nH]c3nccc(OC)c23)cc1; [None]; [None]; [0]
-COc1ccnc2[nH]cc(N(C)c3cccc4[nH]ncc34)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cc(O)cc(Br)c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(C(=O)NC4CC4)cc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(C(N)=O)c(C)c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc4nc(C)oc4c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cc(F)c(O)c(F)c3)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3cc(C)c(O)c(C)c3)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O']; [0.9999749660491943, 0.9997670650482178, 0.9815471172332764, 0.9550173282623291]
+COc1ccnc2[nH]cc(-c3ccc(C(N)=O)c(C)c3)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O']; [0.9999998211860657, 0.9999995827674866, 0.9897870421409607]
+COc1ccnc2[nH]cc(N(C)c3cccc4[nH]ncc34)c12; ['CNc1cccc2[nH]ncc12']; ['COc1ccnc2[nH]cc(Br)c12']; [0.9990783929824829]
+COc1ccnc2[nH]cc(-c3ccc4nc(C)oc4c3)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; [1.0, 0.9999975562095642, 0.9999963641166687, 0.9999948143959045, 0.9816776514053345]
+COc1ccnc2[nH]cc(-c3ccc(C(=O)NC4CC4)cc3)c12; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]ccc12']; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(I)cc1']; [0.9999995231628418, 0.9999994039535522, 0.9998470544815063, 0.999523401260376, 0.9905063509941101, 0.934824526309967]
+COc1ccnc2[nH]cc(-c3cc(F)c(O)c(F)c3)c12; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]ccc12']; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cccc1F', 'Oc1c(F)cccc1F', 'Oc1c(F)cc(Br)cc1F']; [0.9999767541885376, 0.9999690055847168, 0.9936581254005432, 0.9879878163337708, 0.9862555265426636, 0.9026747345924377, 0.8715542554855347, 0.8021377325057983]
+COc1ccnc2[nH]cc(-c3cccc(SC)c3)c12; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1']; [0.9999883770942688, 0.9999334216117859, 0.9804231524467468, 0.9121039509773254]
+COc1ccnc2[nH]cc(Oc3ccc(F)cc3F)c12; ['COc1ccnc2[nH]cc(Br)c12']; ['Oc1ccc(F)cc1F']; [0.9999198913574219]
 COc1ccnc2[nH]cc(-c3ccc4c(=O)[nH][nH]c4c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3[nH]cnc3-c3ccc(F)cc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cccc(SC)c3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(OCc3ccccc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(CCc3c[nH]c4ccccc34)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(-c3ocnc3-c3ccc(F)cc3)c12; ['COc1ccnc2[nH]cc(Br)c12']; ['Fc1ccc(-c2cocn2)cc1']; [0.9992460012435913]
+COc1ccnc2[nH]cc(-c3c(-c4ccccc4)noc3C)c12; ['COc1ccnc2[nH]cc(Br)c12', 'COc1ccnc2[nH]cc(I)c12']; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O']; [0.999912679195404, 0.9998258352279663]
+COc1ccnc2[nH]cc(-c3cn[nH]c3-c3ccc(Cl)cc3)c12; ['COc1ccnc2[nH]cc(I)c12']; ['Clc1ccc(-c2ccn[nH]2)cc1']; [0.9155975580215454]
 COc1ccnc2[nH]cc(OCc3cccc4ccccc34)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ocnc3-c3ccc(F)cc3)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(Oc3ccc(F)cc3F)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(Oc3ccccc3F)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3c(-c4ccccc4)noc3C)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3ccc(F)cc3Cl)c12; [None]; [None]; [0]
+COc1ccnc2[nH]cc(NCc3c(F)cccc3Cl)c12; ['COc1ccnc2[nH]cc(I)c12', 'COc1ccnc2[nH]cc(Br)c12']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.9996642470359802, 0.9994901418685913]
+COc1ccnc2[nH]cc(CCc3c[nH]c4ccccc34)c12; [None]; [None]; [0]
 COc1ccnc2[nH]cc(OCc3ccc(F)cc3F)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(-c3cn[nH]c3-c3ccc(Cl)cc3)c12; [None]; [None]; [0]
 COc1ccnc2[nH]cc(CCc3ccc(F)cc3F)c12; [None]; [None]; [0]
-COc1ccnc2[nH]cc(NCc3c(F)cccc3Cl)c12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 CCOc1ccccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2c[nH]c3nccc(O)c23)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+COc1ccc(F)cc1[C@@H](C)c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3ccnc4ccccc34)c12; ['Ic1ccnc2ccccc12']; ['Oc1ccnc2[nH]ccc12']; [0.950659453868866]
+Cc1nnc(-c2ccccc2-c2c[nH]c3nccc(O)c23)[nH]1; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cccc(C(F)(F)F)c3)c12; ['FC(F)(F)c1cccc(I)c1']; ['Oc1ccnc2[nH]ccc12']; [0.9845964908599854]
+CCn1cc(-c2c[nH]c3nccc(O)c23)cn1; [None]; [None]; [0]
 CP(C)(=O)c1ccccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3cccc(C(F)(F)F)c3)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3ccnc4ccccc34)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3ccccc3Br)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3ccccc3OC(F)(F)F)c12; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3ccccc3OC(F)(F)F)c12; ['FC(F)(F)Oc1ccccc1I']; ['Oc1ccnc2[nH]ccc12']; [0.9969963431358337]
+NC(=O)c1ccccc1-c1c[nH]c2nccc(O)c12; ['NC(=O)c1ccccc1Br']; ['Oc1ccnc2[nH]ccc12']; [0.9973093271255493]
 Oc1ccnc2[nH]cc(-c3cnn(Cc4ccccc4)c3)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3cnc(-c4ccccc4)[nH]3)c12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 OCCn1cc(-c2c[nH]c3nccc(O)c23)cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2c[nH]c3nccc(O)c23)cs1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2c[nH]c3nccc(O)c23)c1)c1ccccc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3c[nH]c4nccc(O)c34)cc2c1=O; [None]; [None]; [0]
+N[C@@H](c1ccco1)c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cnc(-c4ccccc4)[nH]3)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cc(Cl)ccc3Cl)c12; [None]; [None]; [0]
 COc1cnc(-c2c[nH]c3nccc(O)c23)nc1; [None]; [None]; [0]
 Cc1ccc(-c2c[nH]c3nccc(O)c23)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2c[nH]c3nccc(O)c23)c1)c1ccccc1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+CNc1nc(C)c(-c2c[nH]c3nccc(O)c23)s1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2c[nH]c3nccc(O)c23)cs1; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3cnc4ccccn34)c12; [None]; [None]; [0]
 Cc1nc(C)c(-c2c[nH]c3nccc(O)c23)s1; [None]; [None]; [0]
-CNc1nc(C)c(-c2c[nH]c3nccc(O)c23)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3cnc4cccnn34)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3c(Cl)cccc3Cl)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3c(Cl)cccc3Cl)c12; ['Clc1cccc(Cl)c1Br']; ['Oc1ccnc2[nH]ccc12']; [0.9953336715698242]
+Oc1ccnc2[nH]cc(-c3cccc(Br)c3)c12; ['Brc1cccc(I)c1']; ['Oc1ccnc2[nH]ccc12']; [0.9180818796157837]
 Oc1ccnc2[nH]cc(-c3cccc(Cn4cncn4)c3)c12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
-Cc1c(-c2c[nH]c3nccc(O)c23)sc(=O)n1C; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2c[nH]c3nccc(O)c23)c1; ['Cc1ccc(Cl)c(I)c1']; ['Oc1ccnc2[nH]ccc12']; [0.9970498085021973]
 Nc1nccc(-c2c[nH]c3nccc(O)c23)n1; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3cnn4ncccc34)c12; [None]; [None]; [0]
-COc1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3ccc4ccccc4c3)c12; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cnn4ncccc34)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3c[nH]nc3C(F)(F)F)c12; ['FC(F)(F)c1n[nH]cc1Br']; ['Oc1ccnc2[nH]ccc12']; [0.9947634935379028]
+NC(=O)c1c(F)cccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+Cc1c(-c2c[nH]c3nccc(O)c23)sc(=O)n1C; [None]; [None]; [0]
+Cn1ncc2cc(-c3c[nH]c4nccc(O)c34)ccc21; [None]; [None]; [0]
+CC(C)(C)c1cnc(Cc2c[nH]c3nccc(O)c23)o1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3c[nH]c4nccc(O)c34)ccc12; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3cncc4ccccc34)c12; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3c[nH]c4nccc(O)c34)cc2)cn1; [None]; [None]; [0]
-Nc1[nH]nc2cc(-c3c[nH]c4nccc(O)c34)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3c[nH]c4nccc(O)c34)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3c[nH]c4nccc(O)c34)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2c[nH]c3nccc(O)c23)n1; [None]; [None]; [0]
-Oc1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
+Oc1cccc(-c2c[nH]c3nccc(O)c23)c1; ['Oc1cccc(I)c1']; ['Oc1ccnc2[nH]ccc12']; [0.8822482824325562]
 OCc1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3ccc(-c4cn[nH]c4)cc3)c12; [None]; [None]; [0]
 COc1cc(-c2c[nH]c3nccc(O)c23)ccc1C(=O)[O-]; [None]; [None]; [0]
+CCCn1cnc(-c2c[nH]c3nccc(O)c23)n1; [None]; [None]; [0]
 CC(C)n1cc(-c2c[nH]c3nccc(O)c23)nn1; [None]; [None]; [0]
-CSc1nc(-c2c[nH]c3nccc(O)c23)c[nH]1; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3csc4ncncc34)c12; [None]; [None]; [0]
+CSc1nc(-c2c[nH]c3nccc(O)c23)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cc4ccccc4[nH]3)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3ccc(F)cc3C(F)(F)F)c12; [None]; [None]; [0]
+Nc1ncncc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 N#CCCc1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3c[nH]c4nccc(O)c34)cc2s1; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(Cc3c(F)cccc3F)c12; ['OCc1c(F)cccc1F']; ['Oc1ccnc2[nH]ccc12']; [0.997771680355072]
 CC[C@H](CO)c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+CCNc1nc2ccc(-c3c[nH]c4nccc(O)c34)cc2s1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3nccc(O)c23)cc1Cl; ['COc1ccc(I)cc1Cl']; ['Oc1ccnc2[nH]ccc12']; [0.9497954845428467]
 CCC(=O)Nc1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3ccc(F)cc3C(F)(F)F)c12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
 Cn1cc(-c2c[nH]c3nccc(O)c23)c2ccccc21; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3cnn4ccccc34)c12; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c3nccc(O)c23)cc1Cl; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2c[nH]c3nccc(O)c23)cc1C(F)(F)F; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cnn4ccccc34)c12; ['Ic1cnn2ccccc12']; ['Oc1ccnc2[nH]ccc12']; [0.9994499683380127]
 CCCn1cc(-c2c[nH]c3nccc(O)c23)cn1; [None]; [None]; [0]
-O=c1cc(-c2c[nH]c3nccc(O)c23)cc[nH]1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3c[nH]c4nccc(O)c34)c21; [None]; [None]; [0]
+O=C1CCc2cccc(-c3c[nH]c4nccc(O)c34)c21; ['O=C1CCc2cccc(Br)c21']; ['Oc1ccnc2[nH]ccc12']; [0.9843313694000244]
+CC(=O)Nc1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2c[nH]c3nccc(O)c23)cc1C(F)(F)F; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Cc2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
-O=c1[nH]cc(Br)c2sc(-c3c[nH]c4nccc(O)c34)cc12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+O=c1cc(-c2c[nH]c3nccc(O)c23)cc[nH]1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; ['CC(C)(C)c1ccc(I)cc1']; ['Oc1ccnc2[nH]ccc12']; [0.8894717693328857]
+CN(c1ncccc1Cc1c[nH]c2nccc(O)c12)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1c[nH]c2nccc(O)c12; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1']; ['Oc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12']; [0.9999128580093384, 0.9992722868919373, 0.9493974447250366]
 O=c1[nH]ccc2oc(-c3c[nH]c4nccc(O)c34)cc12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3c[nH]c4ccccc34)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cnc4[nH]ccc4c3)c12; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3c[nH]c4cnccc34)c12; [None]; [None]; [0]
+OC[C@H](c1ccccc1)c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+O=c1[nH]cc(Br)c2sc(-c3c[nH]c4nccc(O)c34)cc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3cnc4[nH]ccc4c3)c12; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 CC1(c2c[nH]c3nccc(O)c23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3ccc(N4CCOCC4)cc3)c12; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Oc1ncccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3c(F)cccc3Cl)c12; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3ccc(-n4cncn4)cc3)c12; [None]; [None]; [0]
-Oc1ccc2nc(-c3c[nH]c4nccc(O)c34)[nH]c2c1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3nccc(O)c23)c(OC)c1; ['COc1ccc(I)c(OC)c1']; ['Oc1ccnc2[nH]ccc12']; [0.9864591360092163]
+Oc1ccnc2[nH]cc(-c3ccc(N4CCOCC4)cc3)c12; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; ['O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1']; ['Oc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12']; [0.9746893644332886, 0.9177994728088379]
+Cc1cc(-c2c[nH]c3nccc(O)c23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 CSc1nc(C)c(-c2c[nH]c3nccc(O)c23)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c3nccc(O)c23)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
+CCc1cc(-c2c[nH]c3nccc(O)c23)nc(N)n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2c[nH]c3nccc(O)c23)n1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3nncn3C3CC3)c12; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2c[nH]c3nccc(O)c23)n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2c[nH]c3nccc(O)c23)CC1; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3cn(Cc4ccccc4)nn3)c12; [None]; [None]; [0]
-CCc1cc(-c2c[nH]c3nccc(O)c23)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2c[nH]c3nccc(O)c23)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2c[nH]c3nccc(O)c23)s1; [None]; [None]; [0]
-Nc1nnc(-c2c[nH]c3nccc(O)c23)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+CCCCc1cc(-c2c[nH]c3nccc(O)c23)nc(N)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2c[nH]c3nccc(O)c23)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+Nc1nnc(-c2c[nH]c3nccc(O)c23)s1; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3nc4ccccc4s3)c12; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2c[nH]c3nccc(O)c23)CC1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2c[nH]c3nccc(O)c23)n1; [None]; [None]; [0]
+Nc1cncc(-c2c[nH]c3nccc(O)c23)n1; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cccc4ccsc34)c12; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3c[nH]c4nccc(O)c34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3c[nH]c4nccc(O)c34)c2)cc1; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3cccc4ccsc34)c12; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3cccc4nnsc34)c12; [None]; [None]; [0]
-O=C(NCCCc1c[nH]c2nccc(O)c12)c1cccs1; [None]; [None]; [0]
 O=C(NCCCc1c[nH]c2nccc(O)c12)C1CCC1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2c[nH]c3nccc(O)c23)[nH]1; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3ncc4ccccc4n3)c12; [None]; [None]; [0]
+O=C(NCCCc1c[nH]c2nccc(O)c12)c1cccs1; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3c[nH]c4cccnc34)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3ncc4ccccc4n3)c12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c[nH]c3nccc(O)c23)[nH]1; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+OCCn1cnc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2c[nH]c3nccc(O)c23)c1; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1']; ['Oc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12']; [0.9436293840408325, 0.9263660907745361]
+COc1ncccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3ncc4cc[nH]c4n3)c12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1Cc1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2c[nH]c3nccc(O)c23)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2c[nH]c3nccc(O)c23)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2c[nH]c3nccc(O)c23)cnn1; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(N3CCC(c4nc5ccccc5[nH]4)CC3)c12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2c[nH]c3nccc(O)c23)c1)C1CCNCC1; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3cccc4ncccc34)c12; [None]; [None]; [0]
-Oc1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
-CCc1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
 Oc1cc(-c2c[nH]c3nccc(O)c23)ccc1Cl; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3c(Cl)ccc4c3OCO4)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cccc4ncccc34)c12; ['Ic1cccc2ncccc12']; ['Oc1ccnc2[nH]ccc12']; [0.849661111831665]
 Oc1ccnc2[nH]cc(-c3n[nH]c4ccccc34)c12; [None]; [None]; [0]
-Cn1c(-c2c[nH]c3nccc(O)c23)nc2ccccc21; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(Oc3ccc(F)cc3)c12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; ['NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1']; ['Oc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12']; [0.974449872970581, 0.9502968788146973]
 NC(=O)c1ccc(-c2c[nH]c3nccc(O)c23)c(F)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 Oc1ccc(-c2c[nH]c3nccc(O)c23)c(Cl)c1; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3cn[nH]c3Cl)c12; [None]; [None]; [0]
+CN(C)c1cc(-c2c[nH]c3nccc(O)c23)cnn1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1c[nH]c2nccc(O)c12; ['COc1ccc(F)cc1Br']; ['Oc1ccnc2[nH]ccc12']; [0.989221453666687]
+Oc1ccc(-c2c[nH]c3nccc(O)c23)c(F)c1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+COc1cc(-c2c[nH]c3nccc(O)c23)ccc1O; ['COc1cc(I)ccc1O']; ['Oc1ccnc2[nH]ccc12']; [0.7574918866157532]
 Oc1ccc(-c2ccc(-c3c[nH]c4nccc(O)c34)cc2)c(O)c1; [None]; [None]; [0]
-COc1cc(-c2c[nH]c3nccc(O)c23)ccc1O; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2c[nH]c3nccc(O)c23)o1; [None]; [None]; [0]
-COc1cc(CCc2c[nH]c3nccc(O)c23)ccc1O; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(COc3cccc(Cl)c3)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3cccc(Br)c3)c12; [None]; [None]; [0]
-Oc1ccc(-c2c[nH]c3nccc(O)c23)c(O)c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3c[nH]c4nccc(O)c34)cc2[nH]1; [None]; [None]; [0]
+Oc1ccc(-c2c[nH]c3nccc(O)c23)cc1F; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cn[nH]c3Cl)c12; [None]; [None]; [0]
+Nc1cc(-c2c[nH]c3nccc(O)c23)ccn1; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3ccc(F)c(Cl)c3)c12; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
+Oc1ccc(-c2c[nH]c3nccc(O)c23)c(O)c1; [None]; [None]; [0]
+COc1cc(CCc2c[nH]c3nccc(O)c23)ccc1O; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1c[nH]c2nccc(O)c12; ['Cc1ccc2[nH]ncc2c1Br']; ['Oc1ccnc2[nH]ccc12']; [0.9927336573600769]
+Oc1ccnc2[nH]cc(-c3[nH]cnc3-c3ccc(F)cc3)c12; [None]; [None]; [0]
+Oc1ncc(-c2c[nH]c3nccc(O)c23)cc1Cl; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(COc3ccccc3Cl)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3ccc(F)c(Cl)c3)c12; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(CCc3ccc(Cl)cc3)c12; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 Oc1ccc(Cl)c(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3c(Cl)ccc4c3OCO4)c12; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3nccc(O)c23)cc1OC; ['COc1ccc(I)cc1OC']; ['Oc1ccnc2[nH]ccc12']; [0.9147540330886841]
+COc1cc(OC)cc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
 Cc1ccc(CO)cc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Oc1ncc(-c2c[nH]c3nccc(O)c23)cc1Cl; [None]; [None]; [0]
 NC(=O)c1cc(-c2c[nH]c3nccc(O)c23)c[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c3nccc(O)c23)cc1OC; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3c[nH]c4nccc(O)c34)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3c[nH]c4nccc(O)c34)cc2[nH]1; [None]; [None]; [0]
-Oc1cncc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
+CCOc1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
-O=C1Cc2cc(-c3c[nH]c4nccc(O)c34)ccc2N1; [None]; [None]; [0]
+Oc1cncc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
+Cc1nc2ccc(-c3c[nH]c4nccc(O)c34)cc2[nH]1; [None]; [None]; [0]
+O=C1Cc2cc(-c3c[nH]c4nccc(O)c34)ccc2N1; ['O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(I)ccc2N1']; ['Oc1ccnc2[nH]ccc12', 'Oc1ccnc2[nH]ccc12']; [0.9628691673278809, 0.9387571811676025]
+CNC(=O)c1cccc2cc(-c3c[nH]c4nccc(O)c34)ccc12; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+COc1cc(CCc2c[nH]c3nccc(O)c23)cc(OC)c1; [None]; [None]; [0]
 C[C@H](CC(N)=O)c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
 CNc1nccc(-c2c[nH]c3nccc(O)c23)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1c[nH]c2nccc(O)c12; ['CCc1cc(O)c(F)cc1Br']; ['Oc1ccnc2[nH]ccc12']; [0.9910281300544739]
 Cc1n[nH]c2cc(N(C)c3c[nH]c4nccc(O)c34)ccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+Cc1n[nH]c(-c2c[nH]c3nccc(O)c23)c1C; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3ccncc3Cl)c12; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-CCc1sccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2c[nH]c3nccc(O)c23)cc1Cl; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2c[nH]c3nccc(O)c23)cc1Cl; ['Oc1c(Cl)cc(Br)cc1Cl']; ['Oc1ccnc2[nH]ccc12']; [0.9857469797134399]
 Oc1ccnc2[nH]cc(-c3ccc4c(c3)CCN4)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cc(C(F)F)n[nH]3)c12; [None]; [None]; [0]
+CCc1sccc1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+CNc1nc(-c2c[nH]c3nccc(O)c23)ncc1F; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3cc(O)n4nccc4n3)c12; [None]; [None]; [0]
-Cc1oc(-c2c[nH]c3nccc(O)c23)cc1C(=O)[O-]; [None]; [None]; [0]
 O=c1[nH]c2ccc(-c3c[nH]c4nccc(O)c34)cc2[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(Nc3ccncc3)c12; [None]; [None]; [0]
+Cc1oc(-c2c[nH]c3nccc(O)c23)cc1C(=O)[O-]; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3ccc(Br)cc3F)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(Nc3ccncc3)c12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(-c3[nH]nc4ccc(F)cc34)c12; [None]; [None]; [0]
-Cc1n[nH]c(-c2c[nH]c3nccc(O)c23)c1C; [None]; [None]; [0]
+Cc1cc(-c2c[nH]c3nccc(O)c23)ccc1C(N)=O; ['Cc1cc(Br)ccc1C(N)=O']; ['Oc1ccnc2[nH]ccc12']; [0.998985767364502]
+Cc1nc2ccc(-c3c[nH]c4nccc(O)c34)cc2o1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; ['O=C(NC1CC1)c1ccc(Br)cc1']; ['Oc1ccnc2[nH]ccc12']; [0.9953120946884155]
+Cc1cc(-c2c[nH]c3nccc(O)c23)cc(C)c1O; [None]; [None]; [0]
 CN(c1cccc2[nH]ncc12)c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2c[nH]c3nccc(O)c23)cc1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c3nccc(O)c23)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3c[nH]c4nccc(O)c34)cc2o1; [None]; [None]; [0]
-Oc1c(F)cc(-c2c[nH]c3nccc(O)c23)cc1F; [None]; [None]; [0]
+Oc1c(F)cc(-c2c[nH]c3nccc(O)c23)cc1F; ['Oc1c(F)cc(Br)cc1F']; ['Oc1ccnc2[nH]ccc12']; [0.7778676152229309]
 O=c1[nH][nH]c2cc(-c3c[nH]c4nccc(O)c34)ccc12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3[nH]cnc3-c3ccc(F)cc3)c12; [None]; [None]; [0]
 CSc1cccc(-c2c[nH]c3nccc(O)c23)c1; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(OCc3ccccc3)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(CCc3c[nH]c4ccccc34)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(OCc3cccc4ccccc34)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3ocnc3-c3ccc(F)cc3)c12; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(Oc3ccc(F)cc3F)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(Oc3ccccc3F)c12; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1c[nH]c2nccc(O)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3ccc(F)cc3Cl)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(-c3cn[nH]c3-c3ccc(Cl)cc3)c12; [None]; [None]; [0]
-Oc1ccnc2[nH]cc(CCc3ccc(F)cc3F)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(OCc3cccc4ccccc34)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3ocnc3-c3ccc(F)cc3)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(CCc3c[nH]c4ccccc34)c12; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(OCc3ccc(F)cc3F)c12; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(-c3cn[nH]c3-c3ccc(Cl)cc3)c12; [None]; [None]; [0]
 Oc1ccnc2[nH]cc(NCc3c(F)cccc3Cl)c12; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(N(C)C(C)=O)cc2)cn1; [None]; [None]; [0]
+Oc1ccnc2[nH]cc(CCc3ccc(F)cc3F)c12; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ncc3ccccc3n2)cn1; [None]; [None]; [0]
 CCOc1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cccc(S(C)(=O)=O)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2sc(C(C)(C)O)nc2C)cn1; [None]; [None]; [0]
 COc1ncccc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cccc(S(C)(=O)=O)c2)cn1; [None]; [None]; [0]
-COc1cc(-n2cnc(NC(C)=O)c2)cc(OC)c1OC; [None]; [None]; [0]
-CC(=O)Nc1cn(-n2cnc3ccc(C)cc32)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cnc3cccnn23)cn1; [None]; [None]; [0]
+COc1ccc(-n2cnc(NC(C)=O)c2)cc1; ['CC(N)=O']; ['COc1ccc(-n2cnc(Br)c2)cc1']; [0.9979821443557739]
+COc1cc(-n2cnc(NC(C)=O)c2)cc(OC)c1OC; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cccc(O)c2)cn1; [None]; [None]; [0]
-COc1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cn(-n2cnc3ccc(C)cc32)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(N3CCOCC3)cc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cccc(NC(=O)C3CC3)c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(C(=O)[O-])cc2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc(C#N)ccc2O)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cccc(NC(=O)C3CC3)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(CC(=O)N3CCN(C(C)=O)CC3)cc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-n2ncc3ccccc3c2=O)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(NS(C)(=O)=O)nc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(C(=O)[O-])cc2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2nccc3ccccc23)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(C(N)=O)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(Nc2ncccn2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cnn(Cc3cccc(C#N)c3)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(C(=O)Nc3ccccc3)cc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(Cc2nccc3ccccc23)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(OCCO)cc2)cn1; [None]; [None]; [0]
 CC(=O)NCc1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cccc(C3CCNCC3)c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cnn(Cc3cccc(C#N)c3)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(C(=O)N3CCOCC3)cc2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(C(F)(F)F)cc2)cn1; ['CC(N)=O']; ['FC(F)(F)c1ccc(-n2cnc(Br)c2)cc1']; [0.9998184442520142]
 CC(=O)Nc1cn(-c2ccc(C(=O)N3CCOCC3)cn2)cn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(OC[C@H](C)O)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(OC[C@@H](C)O)cc2)cn1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc3c(c2)CS(=O)(=O)C3)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(C(F)(F)F)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(N(C)C)cc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(S(=O)(=O)N(C)C)cc2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc3c(c2)CS(=O)(=O)C3)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2sc(C)nc2C)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(S(=O)(=O)N(C)C)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(C2CCN(S(C)(=O)=O)CC2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn([C@H]2CCN(C(=O)c3ccccc3)C2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(C(C)C)nc(N)n2)cn1; [None]; [None]; [0]
+CCCOc1ccc(-n2cnc(NC(C)=O)c2)nc1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cn([C@H]2CCN(C(=O)c3ccccc3)C2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(Br)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cccc(N3CCCN(C(C)=O)CC3)c2)cn1; [None]; [None]; [0]
-CCCOc1ccc(-n2cnc(NC(C)=O)c2)nc1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cccc(C(=O)[O-])c2C)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(Br)cc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(N(C)C)c(Cl)c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccn3nccc3n2)cn1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(N(C)C)c(Cl)c2)cn1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccccc2-n2cccn2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2c[nH]c3ccccc23)cn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-n2cnc(NC(C)=O)c2)c(C)c1; [None]; [None]; [0]
 COc1cc(OC)c(-n2cnc(NC(C)=O)c2)cc1Cl; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2nc3ccc(C(C)C)cc3[nH]2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc3c(c2)CCO3)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cc3ccccc3cn2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cc(-c3ccccc3)[nH]n2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cccc(-n2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc3c(c2)CCO3)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2nc3ccc(C(C)C)cc3[nH]2)cn1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
 COc1cc(-n2cnc(NC(C)=O)c2)ccc1O; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc(-c3ccccc3)[nH]n2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cccc3c2OCO3)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2scc3c2OCCO3)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(C(C)(C)C)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cnc3ccccc3c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2scc3c2OCCO3)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(C(=O)N(C)C)cc2)cn1; [None]; [None]; [0]
+COc1cccc(C(=O)Nn2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(C(C)(C)C)nc2)cn1; [None]; [None]; [0]
+CSc1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cn([C@@H]2CC[C@@H](NC(C)=O)CC2)cn1; [None]; [None]; [0]
-COc1cccc(C(=O)Nn2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-n3cnc(NC(C)=O)c3)cc2)CC1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2csc(N)n2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc3ccccc3s2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccn(-c3cccc(Cl)c3)n2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ncc(Br)cn2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(C)nc(N)n2)cn1; [None]; [None]; [0]
-CSc1cccc(-n2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-n3cnc(NC(C)=O)c3)cc2)CC1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(F)cc2Cl)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ncc(Br)cn2)cn1; [None]; [None]; [0]
 COc1ccc(-n2cnc(NC(C)=O)c2)cc1OC; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc3c(c2)CCC(=O)N3)cn1; [None]; [None]; [0]
 CCc1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(Cl)cc2Cl)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ncc3cccn3n2)cn1; [None]; [None]; [0]
-COc1cc(-n2cnc(NC(C)=O)c2)ccc1N1CCOCC1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(Cl)cc2Cl)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc3ccccn3n2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cn(C)nc2C(F)(F)F)cn1; [None]; [None]; [0]
+COc1cc(-n2cnc(NC(C)=O)c2)ccc1N1CCOCC1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc3c(c2)CC(C)(C)O3)cn1; [None]; [None]; [0]
-COc1ccc2cccc(-n3cnc(NC(C)=O)c3)c2c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cn(C)nc2C(F)(F)F)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cccc3ccc(O)cc23)cn1; [None]; [None]; [0]
-COc1cc(F)c(-n2cnc(NC(C)=O)c2)cc1OC; [None]; [None]; [0]
-COc1cc(-n2cnc(NC(C)=O)c2)ccc1Cl; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ncc(Cl)cn2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cc(N)nc3[nH]ccc23)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ncnc3c(C)csc23)cn1; [None]; [None]; [0]
+COc1ccc2cccc(-n3cnc(NC(C)=O)c3)c2c1; [None]; [None]; [0]
+COc1cc(-n2cnc(NC(C)=O)c2)ccc1Cl; [None]; [None]; [0]
+COc1cc(F)c(-n2cnc(NC(C)=O)c2)cc1OC; [None]; [None]; [0]
+CCNC(=O)c1ccc(-n2cnc(NC(C)=O)c2)nc1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cnn(CCO)c2)cn1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](n2cnc(NC(C)=O)c2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
 COc1cc(-n2cnc(NC(C)=O)c2)c(OC)cc1Br; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc(N)nc3[nH]ccc23)cn1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](n2cnc(NC(C)=O)c2)CC1; [None]; [None]; [0]
 CCNC(=O)N1CCC(n2cnc(NC(C)=O)c2)CC1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cn1; [None]; [None]; [0]
 COc1cc(OC)cc(-n2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
 COc1ccc2oc(-n3cnc(NC(C)=O)c3)cc2c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-n1cnc(NC(C)=O)c1)cn2C; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc3cn[nH]c3c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cn1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-n1cnc(NC(C)=O)c1)cn2C; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(C[NH+](C)C)cc2)cn1; [None]; [None]; [0]
 CCn1cc(-n2cnc(NC(C)=O)c2)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-n2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cc(-c3cccnc3)ccn2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ncc3sccc3n2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc3ccccc3o2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc(-c3cccnc3)ccn2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(Br)cn2C)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ncc3sccc3n2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cn(C)nc2C(C)C)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cccc(NC(=O)N3CCCC3)c2)cn1; [None]; [None]; [0]
-COc1ccc2nc(-n3cnc(NC(C)=O)c3)[nH]c2c1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(OC(F)(F)F)cc2)cn1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nn2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
+COc1ccc2nc(-n3cnc(NC(C)=O)c3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-n2cnc(NC(C)=O)c2)n1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cn(C)c3ccccc23)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc3ccc(C(C)(C)O)cc3[nH]2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ncn3c2CCCC3)cn1; [None]; [None]; [0]
-CCc1cccc(-n2cnc(NC(C)=O)c2)n1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cc(C)c(OCCO)c(C)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc3c(cnn3C)c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc3c(c2)c(Cl)nn3C)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(N(C)C)nc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cnn(C3CCN(C(C)=O)CC3)c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc3c(c2)c(Cl)nn3C)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc(C)c(OCCO)c(C)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc3c(C)n[nH]c3c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cnn(C3CCN(C(C)=O)CC3)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cccc(N3CCCC3=O)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(CCO)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(NC(=O)c2cccc(OC(F)(F)F)c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(-c3cnc(C)n3C)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(C(=O)N(C)C)cc2Cl)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(-c3cnc(C)n3C)cc2)cn1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(N3CCOCC3)cc2C)cn1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(N3CCOCC3)cc2C)cn1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(C(=O)N(C)C)cn2)cn1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(-n2cnc(NC(C)=O)c2)c(OC)c1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(C(C)(C)O)n(C)n2)cn1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-n2cnc(NC(C)=O)c2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(S(C)(=O)=O)ccc2Cl)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-n2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(Cl)c(O)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(C(=O)NCCO)ccc2C)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(O)cc2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2c(Cl)ccc3c2OCO3)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-n2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cccc3ncccc23)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(Cl)c(O)c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2c(Cl)cccc2Cl)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(C(N)=O)cc2F)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(O)cc2Cl)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(C(N)=O)cc2F)cn1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(O)cc2F)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc(F)c3nc(C)[nH]c3c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccnc(N)n2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cccc(Br)c2)cn1; ['Brc1cccc(-n2cnc(Br)c2)c1']; ['CC(N)=O']; [0.9942610859870911]
+COc1cc(F)ccc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cn[nH]c2Cl)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(-c3ccc(O)cc3O)cc2)cn1; [None]; [None]; [0]
 COC(=O)c1ccc(-n2cnc(NC(C)=O)c2)o1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc3ccccc3c2)cn1; [None]; [None]; [0]
 COc1cc(CCn2cnc(NC(C)=O)c2)ccc1O; [None]; [None]; [0]
-CC(=O)Nc1cn(COc2cccc(Cl)c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cccc(Br)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(O)cc2O)cn1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-n2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(O)c(F)c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cnn3ncccc23)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccnc(N)c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2c[nH]c3cnccc23)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(COc2ccccc2Cl)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2[nH]cnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(F)c(Cl)c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn([C@H](CO)c2ccccc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(CCc2ccc(Cl)cc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cc(O)ccc2C)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2c(C)ccc3[nH]ncc23)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(O)ccc2Cl)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2c(Cl)ccc3c2OCO3)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cc(CO)ccc2C)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cnc(O)c(Cl)c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc(CO)ccc2C)cn1; [None]; [None]; [0]
+CCOc1cccc(-n2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2c[nH]c(C(N)=O)c2)cn1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-n3cnc(NC(C)=O)c3)ccc12; [None]; [None]; [0]
+COc1cc(CCn2cnc(NC(C)=O)c2)cc(OC)c1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc3nc(C)[nH]c3c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(NC(N)=O)cc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc(S(C)(=O)=O)cc2)cn1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-n3cnc(NC(C)=O)c3)ccc12; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cnc3[nH]ccc3c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2nc3ccccc3s2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc3c(c2)CC(=O)N3)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(S(C)(=O)=O)cc2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc(NC(N)=O)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cncc(O)c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2nc3ccccc3s2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn([C@H](C)CC(N)=O)cn1; [None]; [None]; [0]
 CNc1nccc(-n2cnc(NC(C)=O)c2)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc3c(c2)CC(=O)N3)cn1; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2[nH]nc(C)c2C)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(O)cc2C)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(Cl)c(O)c(Cl)c2)cn1; [None]; [None]; [0]
+CNc1nc(-n2cnc(NC(C)=O)c2)ncc1F; [None]; [None]; [0]
 CCc1sccc1-n1cnc(NC(C)=O)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccncc2Cl)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc(C(F)F)n[nH]2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc(C(=O)[O-])c(C)o2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc3c(c2)CCN3)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(O)n3nccc3n2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cc(C(=O)[O-])c(C)o2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc3[nH]c(=O)[nH]c3c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(Br)cc2F)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2[nH]nc3ccc(F)cc23)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2[nH]nc(C)c2C)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(O)cc(Br)c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc3[nH]c(=O)[nH]c3c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc3nc(C)oc3c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cc(C)c(O)c(C)c2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2[nH]nc3ccc(F)cc23)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(C(=O)NC3CC3)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ccc(C(N)=O)c(C)c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc3nc(C)oc3c2)cn1; [None]; [None]; [0]
+CSc1cccc(-n2cnc(NC(C)=O)c2)c1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2c(-c3ccccc3)noc2C)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2cc(F)c(O)c(F)c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2ccc3c(=O)[nH][nH]c3c2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2[nH]cnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(CCc2c[nH]c3ccccc23)cn1; [None]; [None]; [0]
+CNC(=O)c1ccccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+CCOc1ccccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2ccc3c(=O)[nH][nH]c3c2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cn(-c2ocnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2c(-c3ccccc3)noc2C)cn1; [None]; [None]; [0]
-CC(=O)Nc1cn(-c2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCc1cc(F)cc(F)c1; [None]; [None]; [0]
 CC(=O)Nc1cn(CCc2ccc(F)cc2F)cn1; [None]; [None]; [0]
+CC(=O)Nc1cn(-c2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccccc1P(C)(C)=O; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccnc2ccccc12; [None]; [None]; [0]
+COC(C)(C)CCNc1c(C)cnc2ccnn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccccc1OC(F)(F)F; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccccc1S(=O)(=O)C(C)C; [None]; [None]; [0]
+CCn1cc(Nc2c(C)cnc3ccnn23)cn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccccc1C(N)=O; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2Nc2c(C)cnc3ccnn23)[nH]1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnn(CCO)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccccc1C(=O)[O-]; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc(Cl)ccc1Cl; [None]; [None]; [0]
+COc1cnc(Nc2c(C)cnc3ccnn23)nc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1c(C)nc2ccccn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1csc(C(C)(C)C)n1; [None]; [None]; [0]
+Cc1ccc(Nc2c(C)cnc3ccnn23)c(Br)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnc2ccccn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnc2cccnn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(Cn2cncn2)c1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nn1ncc2cccc(F)c2c1=O; [None]; [None]; [0]
+Cc1ccc(Cl)c(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(Br)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NOCC(=O)C(C)C; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccnc(N)n1; [None]; [None]; [0]
+CNc1nc(C)c(Nc2c(C)cnc3ccnn23)s1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc2ccccc2c1; [None]; [None]; [0]
+Cc1nc(C)c(Nc2c(C)cnc3ccnn23)s1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1sc(N)nc1C; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NNc1cccnc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NNC(=O)c1cccs1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1c[nH]nc1C(F)(F)F; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NNCc1cccnc1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1sc(=O)n(C)c1C; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(F)c1C(N)=O; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cncc2ccccc12; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1cnn2ncccc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCc1ncc(C(C)(C)C)o1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NNCCc1ccccc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(-c2cnn(C)c2)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc2c(cnn2C)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nn1cnc2ccccc21; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NNCCc1c[nH]cn1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1ccc2c(c1)CS(=O)(=O)N2C; [None]; [None]; [0]
-COc1cc(Nc2c(C)cnc3ccnn23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(-c2cn[nH]c2)cc1; [None]; [None]; [0]
+CCCn1cnc(Nc2c(C)cnc3ccnn23)n1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1cn(C(C)C)nn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(CO)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NNc1ccncc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(O)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NNCc1ccccc1F; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc2ccccc2[nH]1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1NCCc1c[nH]nn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NCCNC(=O)CC(C)(C)O; [None]; [None]; [0]
+CSc1nc(Nc2c(C)cnc3ccnn23)c[nH]1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1csc(N)n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NNCc1ccc(Cl)cc1; [None]; [None]; [0]
+COc1cc(Nc2c(C)cnc3ccnn23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cncnc1N; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(CCC#N)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnoc1C(C)C; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCCCC(N)=O; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1csc2ncncc12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
+CCC(=O)Nc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1NNC(=O)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cccc(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
+COc1ccc(Nc2c(C)cnc3ccnn23)cc1Cl; [None]; [None]; [0]
+CCNc1nc2ccc(Nc3c(C)cnc4ccnn34)cc2s1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnn2ccccc12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NOc1ccccn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCCNC(=O)CC(C)(C)O; [None]; [None]; [0]
+CCCn1cc(Nc2c(C)cnc3ccnn23)cn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cn(C)c2ccccc12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NN1CCC(S(C)(=O)=O)CC1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1NOCC(C)(C)S(C)(=O)=O; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
+COc1cc(CCNc2c(C)cnc3ccnn23)cc(OC)c1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1ccc(C[NH3+])c(C(F)(F)F)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc2c1C(=O)CC2; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc([S@](C)=O)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc[nH]c(=O)c1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+CCN(CC)Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
 Cc1cnc2ccnn2c1NO[C@H](C)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
+COc1cccc(F)c1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1cc2c(=O)[nH]cc(Br)c2s1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NNc1cnc2ccccc2c1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1NNc1cnccc1-c1ccccc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cncc(OC(C)C)c1; [None]; [None]; [0]
+COc1ccncc1NNc1c(C)cnc2ccnn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(S(=O)(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
+Cc1cc(Nc2c(C)cnc3ccnn23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnc2[nH]ccc2c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1c[nH]c2cnccc12; [None]; [None]; [0]
 Cc1cnc2ccnn2c1NN(C)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NC1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1c(F)cccc1Cl; [None]; [None]; [0]
 Cc1cnc2ccnn2c1NN[C@@H](C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nn1ccc(CO)n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(-n2cncn2)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NN[C@@H](C)C(C)(C)O; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nn1cnc(CCO)c1; [None]; [None]; [0]
+COc1ccc(Nc2c(C)cnc3ccnn23)c(OC)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NN[C@H](C)C(C)(C)O; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nn1ncc2ccccc21; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nn1ncc2c(O)cccc21; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1nncn1C1CC1; [None]; [None]; [0]
+CSc1nc(C)c(Nc2c(C)cnc3ccnn23)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2c(C)cnc3ccnn23)CC1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1nncn1C(C)C; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1ccn(CC[NH3+])n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1nnc(N)s1; [None]; [None]; [0]
+CCc1cc(Nc2c(C)cnc3ccnn23)nc(N)n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCCC(=O)NCc1ccccn1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1NCc1nnc2ccc(-c3ccccc3)nn12; [None]; [None]; [0]
 Cc1cnc2ccnn2c1NCS(=O)(=O)NCc1ccccn1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1NOc1ccc(C[NH3+])cc1F; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cc(C(N)=O)cn1C; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1nc2ccccc2s1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1ccc2c(n1)NC(=O)C(C)(C)O2; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc(C(N)=O)cn1C; [None]; [None]; [0]
+CCCCc1cc(Nc2c(C)cnc3ccnn23)nc(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2c(C)cnc3ccnn23)s1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(C(C)(C)O)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(Nc2c(C)cnc3ccnn23)CC1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NOc1ccc(C[NH3+])cc1F; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cncc(N)n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc2nnsc12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1nc(N)c2ccccc2n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ncc2ccccc2n1; [None]; [None]; [0]
+CC(=O)Nc1ncc(Nc2c(C)cnc3ccnn23)[nH]1; [None]; [None]; [0]
+COc1ccc(C#N)cc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ncc2cc[nH]c2n1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(Nc3c(C)cnc4ccnn34)c2)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1N[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc2ccsc12; [None]; [None]; [0]
+COc1ncccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1c[nH]c2cccnc12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(S(=O)(=O)N(C)C)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cn(CCO)cn1; [None]; [None]; [0]
 COc1ccc(ONc2c(C)cnc3ccnn23)c(F)c1F; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc2nnsc12; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1cccc(C(C)(C)O)n1; [None]; [None]; [0]
+CCOc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnnc(N(C)C)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NN1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
+COc1cc(Nc2c(C)cnc3ccnn23)cc(OC)c1OC; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NN1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
+COc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc(C#N)ccc1O; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(N)=O)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1nccc2ccccc12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1nc2ccccc2[nH]1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1sc(C(C)(C)O)nc1C; [None]; [None]; [0]
+Cc1ccc2ncn(Nc3c(C)cnc4ccnn34)c2c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3c(C)cnc4ccnn34)cc2)CC1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NNc1ncccn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnn(Cc2cccc(C#N)c2)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(OCCO)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(N(C)C)cc1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCc1ccccc1O; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NC1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(Br)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCc1cnc(N)nc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1N[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
+COc1ccc(CNc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccn2nccc2n1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccccc1-n1cccn1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1cc(C(C)C)nc(N)n1; [None]; [None]; [0]
+COc1ccc(Cl)cc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(Nc3c(C)cnc4ccnn34)c2)CC1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
+COc1cc(OC)c(Nc2c(C)cnc3ccnn23)cc1Cl; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1c[nH]c2ccccc12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc2c(c1)CCO2; [None]; [None]; [0]
 CCCOc1ccc(Nc2c(C)cnc3ccnn23)nc1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1nc2ccc(C(C)C)cc2[nH]1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc2c1OCO2; [None]; [None]; [0]
+COc1cc(Nc2c(C)cnc3ccnn23)ccc1O; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2c(C)cnc3ccnn23)c(C)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cnc2ccccc2c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1nc2ccc(C(C)C)cc2[nH]1; [None]; [None]; [0]
+Cc1ccc(Nc2c(C)cnc3ccnn23)c(=O)[nH]1; [None]; [None]; [0]
+COc1cccc(C(=O)NNc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
+CSc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1scc2c1OCCO2; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCCCc1ccccc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCc1nc2ccc(F)c(F)c2[nH]1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc2ccccc2s1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCc1nc2ccccc2[nH]1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(F)cc1Cl; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(Nc3c(C)cnc4ccnn34)cc2)CC1; [None]; [None]; [0]
+CC[C@@H](CO)Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+Cc1cc(Nc2c(C)cnc3ccnn23)nc(N)n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1N[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
+CCc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+COc1ccc(Nc2c(C)cnc3ccnn23)cc1OC; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc2c(c1)CCC(=O)N2; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ncc(Br)cn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(Cl)cc1Cl; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1NCCCn1cncn1; [None]; [None]; [0]
+COc1cc(Nc2c(C)cnc3ccnn23)ccc1N1CCOCC1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc2ccccn2n1; [None]; [None]; [0]
+COc1ccc2cccc(Nc3c(C)cnc4ccnn34)c2c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
+COc1cc(F)c(Nc2c(C)cnc3ccnn23)cc1OC; [None]; [None]; [0]
+COc1cc(Nc2c(C)cnc3ccnn23)ccc1Cl; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc2ccc(O)cc12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ncnc2c(C)csc12; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ncc(Cl)cn1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ncc2cccn2n1; [None]; [None]; [0]
+COc1ccc(OC)c(CNc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(Nc2c(C)cnc3ccnn23)CC1; [None]; [None]; [0]
+COc1cc(Nc2c(C)cnc3ccnn23)cc(OC)c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](Nc2c(C)cnc3ccnn23)CC1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2c(C)cnc3ccnn23)nc1; [None]; [None]; [0]
+COc1cc(Nc2c(C)cnc3ccnn23)c(OC)cc1Br; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc2cn[nH]c2c1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1cccc(C(=O)Nc2cn[nH]c2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(Nc1c(C)cnc3ccnn13)cn2C; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
+COc1ccc2oc(Nc3c(C)cnc4ccnn34)cc2c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc2ccccc2o1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc(Br)cn1C; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ncc2sccc2n1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cn(C)nc1C(C)C; [None]; [None]; [0]
+COc1ccc2nc(Nc3c(C)cnc4ccnn34)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(Nc2c(C)cnc3ccnn23)n1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NNc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ncn2c1CCCC2; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(N(C)C)nc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc2c(c1)c(Cl)nn2C; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1cc2ccc(C(C)(C)O)cc2[nH]1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(Nc3c(C)cnc4ccnn34)cn2)CC1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1NNC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1cnc2ccnn2c1Nc1ccc(-c2cnc(C)n2C)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ncn2c1CCCC2; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(CCO)cc1; [None]; [None]; [0]
+Cc1cc(Nc2c(C)cnc3ccnn23)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(-c2cnc(C)n2C)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2c(C)cnc3ccnn23)c(OC)c1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(Nc3c(C)cnc4ccnn34)cn2)CC1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(Nc2c(C)cnc3ccnn23)c1; [None]; [None]; [0]
 Cc1cnc2ccnn2c1Nc1cc(C(C)(C)O)n(C)n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N(C)C(C)=O)cc2)n[nH]1; [None]; [None]; [0]
-CCOc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1ccc(C(=O)N(C)C)cn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(N(C)C(C)=O)cc2)n[nH]1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CC(=O)Nc1cc(Br)n[nH]1']; [0.9999866485595703]
+CCNC(=O)Cc1ccc(Nc2c(C)cnc3ccnn23)cc1; [None]; [None]; [0]
+Cc1cnc2ccnn2c1Nc1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
+Cc1cnc2ccnn2c1N[C@H](C)CS(C)(=O)=O; [None]; [None]; [0]
+CCOc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)O', 'CC(=O)OC(C)=O', 'CC(=O)Cl', None]; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(-c2cc(N)[nH]n2)cc1', 'CCOc1ccc(-c2cc(N)[nH]n2)cc1', 'CCOc1ccc(-c2cc(N)[nH]n2)cc1', None]; [0.9999931454658508, 0.9998102188110352, 0.9997897148132324, 0.9997614026069641, 0.9994184970855713, 0]
+Cc1ccc(C(=O)NCCO)cc1Nc1c(C)cnc2ccnn12; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc(S(C)(=O)=O)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; [0.9999997019767761, 0.9999945163726807]
+COc1cc(-c2cc(NC(C)=O)[nH]n2)cc(OC)c1OC; ['CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Nc1cc(Br)n[nH]1', None, 'CC(=O)Cl', 'CC(=O)Nc1cc(Br)n[nH]1']; ['COc1cc(-c2cc(N)[nH]n2)cc(OC)c1OC', 'COc1cc(-c2cc(N)[nH]n2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', None, 'COc1cc(-c2cc(N)[nH]n2)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC']; [0.9998754262924194, 0.9998084306716919, 0.9993744492530823, 0, 0.9987369775772095, 0.9976935386657715]
+COc1ncccc1-c1cc(NC(C)=O)[nH]n1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; [0.999321460723877, 0.9533495903015137]
 CC(=O)Nc1cc(-c2ncc3ccccc3n2)n[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Cl', None]; ['COc1ccc(B(O)O)cc1', 'COc1ccc(-c2cc(N)[nH]n2)cc1', 'COc1ccc(-c2cc(N)[nH]n2)cc1', 'COc1ccc(-c2cc(N)[nH]n2)cc1', None]; [0.9998055100440979, 0.9995421171188354, 0.9993247985839844, 0.998444676399231, 0]
 CC(=O)Nc1cc(-c2sc(C(C)(C)O)nc2C)n[nH]1; [None]; [None]; [0]
-COc1ncccc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(S(C)(=O)=O)c2)n[nH]1; [None]; [None]; [0]
-COc1cc(-c2cc(NC(C)=O)[nH]n2)cc(OC)c1OC; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(N3CCOCC3)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.9999995231628418, 0.9999923706054688]
+CC(=O)Nc1cc(-c2cc(C#N)ccc2O)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(I)c1']; [0.9569092392921448, 0.8176559209823608]
+CC(=O)Nc1cc(-c2cccc(O)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Oc1cccc(I)c1']; [0.9969502687454224, 0.9889146089553833, 0.8690063953399658]
+CC(=O)Nc1cc(-c2cccc(NC(=O)C3CC3)c2)n[nH]1; ['CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['O=C(Nc1cccc(Br)c1)C1CC1', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.9963140487670898, 0.9832805395126343]
 CC(=O)Nc1cc(-n2cnc3ccc(C)cc32)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cnc3cccnn23)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(O)c2)n[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N3CCOCC3)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(NC(=O)C3CC3)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nc3ccccc3[nH]2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(CC(=O)N3CCN(C(C)=O)CC3)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-n2ncc3ccccc3c2=O)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(NS(C)(=O)=O)nc2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(N)=O)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.9999983906745911, 0.9999783039093018, 0.9940832257270813, 0.9918168783187866, 0.9707085490226746]
 CC(=O)Nc1cc(-c2ccc(C(=O)[O-])cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(N)=O)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnn(Cc3cccc(C#N)c3)c2)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(Nc2ncccn2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(Cc2nccc3ccccc23)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(OCCO)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(C3CCNCC3)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(CC(=O)N3CCN(C(C)=O)CC3)cc2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2nccc3ccccc23)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9999994039535522, 0.999963641166687, 0.989275336265564]
+CC(=O)Nc1cc(-c2nc3ccccc3[nH]2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cnn(Cc3cccc(C#N)c3)c2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(OCCO)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'OCCOc1ccc(B(O)O)cc1']; [0.9999991655349731, 0.9999011754989624]
+CC(=O)NCc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; [0.9999982118606567, 0.9999396800994873, 0.9756439924240112]
+CNS(=O)(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CNS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9993846416473389]
+CC(=O)Nc1cc(-c2cccc(C3CCNCC3)c2)n[nH]1; ['Brc1cccc(C2CCNCC2)c1']; ['CC(=O)Nc1cc(Br)n[nH]1']; [0.9490702748298645]
+CC(=O)Nc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 0.9999957084655762, 0.9968510866165161]
+CC(=O)Nc1cc(-c2ccc(N(C)C)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1']; [0.999990701675415, 0.9997707605361938]
+CC(=O)Nc1cc(-c2ccc(C(F)(F)F)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Cl', None]; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1cc(-c2ccc(C(F)(F)F)cc2)n[nH]1', 'Nc1cc(-c2ccc(C(F)(F)F)cc2)n[nH]1', 'Nc1cc(-c2ccc(C(F)(F)F)cc2)n[nH]1', None]; [0.9999971389770508, 0.9999160766601562, 0.9998651742935181, 0.999699592590332, 0.9994363784790039, 0]
+CC(=O)Nc1cc(-c2ccc3c(c2)CS(=O)(=O)C3)n[nH]1; ['CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9824218153953552, 0.7840189933776855]
+CC(=O)Nc1cc(-c2ccc(S(=O)(=O)N(C)C)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; [0.9999994039535522, 0.9998674392700195, 0.9883166551589966, 0.9754427671432495]
+CC(=O)Nc1cc(C2CCN(S(C)(=O)=O)CC2)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(OC[C@H](C)O)cc2)n[nH]1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(OC[C@@H](C)O)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(F)(F)F)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(c2)CS(=O)(=O)C3)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(S(=O)(=O)N(C)C)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N(C)C)cc2)n[nH]1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2sc(C)nc2C)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(C2CCN(S(C)(=O)=O)CC2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(Br)cc2)n[nH]1; ['CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Cl', None, 'CC(=O)Nc1cc(Br)n[nH]1']; ['Nc1cc(-c2ccc(Br)cc2)n[nH]1', 'Nc1cc(-c2ccc(Br)cc2)n[nH]1', 'Nc1cc(-c2ccc(Br)cc2)n[nH]1', None, 'OB(O)c1ccc(Br)cc1']; [0.9998542666435242, 0.9998042583465576, 0.9994641542434692, 0, 0.9955365657806396]
+CC(=O)Nc1cc(-c2cccc(N3CCCN(C(C)=O)CC3)c2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(N(C)C)c(Cl)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl']; [0.9999995231628418]
 CC(=O)Nc1cc(-c2cc(C(C)C)nc(N)n2)n[nH]1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)n[nH]1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; [0.9999992847442627, 0.9999139308929443, 0.9907741546630859]
+CNS(=O)(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)c(C)c1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; [0.997805655002594]
 CCCOc1ccc(-c2cc(NC(C)=O)[nH]n2)nc1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(N3CCCN(C(C)=O)CC3)c2)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cccc(C(=O)[O-])c2C)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(Br)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N(C)C)c(Cl)c2)n[nH]1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cc(NC(C)=O)[nH]n2)cc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccccc2-n2cccn2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'OB(O)c1ccccc1-n1cccn1']; [0.9999195337295532, 0.9989628791809082]
+COc1ccc(Cl)cc1-c1cc(NC(C)=O)[nH]n1; ['CC(=O)O', None, 'CC(=O)Cl', 'CC(=O)OC(C)=O', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['COc1ccc(Cl)cc1-c1cc(N)[nH]n1', None, 'COc1ccc(Cl)cc1-c1cc(N)[nH]n1', 'COc1ccc(Cl)cc1-c1cc(N)[nH]n1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1I']; [0.9999258518218994, 0, 0.9998049139976501, 0.9997769594192505, 0.9995551109313965, 0.9990679025650024, 0.9990309476852417, 0.9948726892471313]
+CC(=O)Nc1cc(-c2ccn3nccc3n2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c[nH]c3ccccc23)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'OB(O)c1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12']; [0.9986035227775574, 0.9953961968421936, 0.761397123336792]
+CC(=O)Nc1cc(-c2ccc3c(c2)CCO3)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'Brc1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'CC(=O)Nc1ccn[nH]1']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'Ic1ccc2c(c1)CCO2']; [0.9999642372131348, 0.9998160004615784, 0.9994609355926514, 0.9992648363113403, 0.9938775300979614, 0.9924729466438293]
+CC(=O)Nc1cccc(-c2cc(NC(C)=O)[nH]n2)c1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cccc(Br)c1']; [0.9999586343765259, 0.9990649223327637, 0.9919641017913818, 0.9873138666152954]
 CC(=O)Nc1cc(-c2nc3ccc(C(C)C)cc3[nH]2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(c2)CCO3)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc3ccccc3cn2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc3c2OCO3)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'OB(O)c1cccc2c1OCO2']; [0.9995927810668945, 0.9899094104766846]
+COc1cc(-c2cc(NC(C)=O)[nH]n2)ccc1O; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O']; [0.9998706579208374, 0.9956724643707275, 0.9933502674102783, 0.9917879700660706, 0.8406418561935425]
 CC(=O)Nc1cc(-c2cc(-c3ccccc3)[nH]n2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc(NC(C)=O)[nH]n2)c1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(C)(C)C)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Cl', 'CC(=O)Nc1cc(Br)n[nH]1', None]; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(-c2cc(N)[nH]n2)cc1', 'CC(C)(C)c1ccc(-c2cc(N)[nH]n2)cc1', 'CC(C)(C)c1ccc(-c2cc(N)[nH]n2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', None]; [0.9999984502792358, 0.9999245405197144, 0.9998599290847778, 0.9998557567596436, 0.9997771382331848, 0]
+COc1cc(OC)c(-c2cc(NC(C)=O)[nH]n2)cc1Cl; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
-COc1cc(-c2cc(NC(C)=O)[nH]n2)ccc1O; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc3c2OCO3)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cnc3ccccc3c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'OB(O)c1cnc2ccccc2c1']; [0.9999898672103882, 0.999876856803894]
+CC(=O)Nc1cc(-c2ccc(C(=O)N(C)C)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; [0.9999983310699463, 0.9999398589134216]
+CC(=O)Nc1cc(-c2ccc(C(C)(C)C)nc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; [0.9999934434890747, 0.999889612197876]
+COc1cccc(C(=O)Nc2cc(NC(C)=O)[nH]n2)c1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['COc1cccc(C(N)=O)c1']; [0.9881452918052673]
+CSc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1']; [0.9999942779541016, 0.9997310638427734]
 CC(=O)Nc1cc(-c2scc3c2OCCO3)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(C)(C)C)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc3ccccc3c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(=O)N(C)C)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(C)(C)C)nc2)n[nH]1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc(NC(C)=O)[nH]n3)cc2)CC1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; [0.9999787211418152, 0.9828537702560425]
+CC(=O)Nc1cc(-c2ccc(F)cc2Cl)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1']; [0.9997408390045166, 0.9995300769805908, 0.9968948364257812, 0.9964719414710999, 0.9632570743560791]
+CC(=O)Nc1cc(-c2ccn(-c3cccc(Cl)c3)n2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2csc(N)n2)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc([C@@H]2CC[C@@H](NC(C)=O)CC2)n[nH]1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cc(NC(C)=O)[nH]n2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(NC(C)=O)[nH]n3)cc2)CC1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3c(c2)CCC(=O)N3)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(I)ccc2N1']; [0.9997475147247314, 0.992451548576355, 0.9790099859237671]
+CC(=O)Nc1cc(-c2cc3ccccc3s2)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(C)nc(N)n2)n[nH]1; [None]; [None]; [0]
-CSc1cccc(-c2cc(NC(C)=O)[nH]n2)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(F)cc2Cl)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ncc(Br)cn2)n[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(Cl)cc2Cl)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ncc3cccn3n2)n[nH]1; [None]; [None]; [0]
-COc1cc(-c2cc(NC(C)=O)[nH]n2)ccc1N1CCOCC1; [None]; [None]; [0]
+COc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1OC; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Cl', None, 'CC(=O)Nc1ccn[nH]1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(-c2cc(N)[nH]n2)cc1OC', 'COc1ccc(-c2cc(N)[nH]n2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(-c2cc(N)[nH]n2)cc1OC', None, 'COc1ccc(I)cc1OC']; [0.9999287128448486, 0.999561071395874, 0.999291181564331, 0.999180793762207, 0.9974123239517212, 0, 0.9927968978881836]
+CCc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Cl', 'CC(=O)Nc1cc(Br)n[nH]1', None, 'CC(=O)Nc1ccn[nH]1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(-c2cc(N)[nH]n2)cc1', 'CCc1ccc(-c2cc(N)[nH]n2)cc1', 'CCc1ccc(-c2cc(N)[nH]n2)cc1', 'CCc1ccc(B(O)O)cc1', None, 'CCc1ccc(I)cc1']; [0.9999936819076538, 0.9998914003372192, 0.9996541738510132, 0.999407172203064, 0.999018669128418, 0, 0.9686427712440491]
+CC(=O)Nc1cc(-c2ccc(Cl)cc2Cl)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9993524551391602, 0.9988014101982117]
+COc1cc(-c2cc(NC(C)=O)[nH]n2)ccc1N1CCOCC1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; [0.999982476234436, 0.9805687665939331]
 CC(=O)Nc1cc(-c2cc3ccccn3n2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cn(C)nc2C(F)(F)F)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cn(C)nc2C(F)(F)F)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; [0.9997432231903076, 0.9994335174560547]
 CC(=O)Nc1cc(-c2ccc3c(c2)CC(C)(C)O3)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ncc(Br)cn2)n[nH]1; [None]; [None]; [0]
+COc1cc(F)c(-c2cc(NC(C)=O)[nH]n2)cc1OC; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC']; [0.9995549917221069, 0.9995394349098206]
+CC(=O)Nc1cc(-c2ncc3cccn3n2)n[nH]1; [None]; [None]; [0]
+COc1cc(-c2cc(NC(C)=O)[nH]n2)ccc1Cl; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl']; [0.9999969601631165, 0.9998929500579834, 0.9998301267623901, 0.999667763710022, 0.999641478061676, 0.9968811869621277]
+CC(=O)Nc1cc(-c2cccc3ccc(O)cc23)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; [0.9967074990272522]
+CNC(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; [0.9999986886978149, 0.9999619722366333]
+CC(=O)Nc1cc(-c2cnn(CCO)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1']; [0.9989957809448242, 0.9965534210205078]
 COc1ccc2cccc(-c3cc(NC(C)=O)[nH]n3)c2c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc3ccc(O)cc23)n[nH]1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(NC(C)=O)[nH]n2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cc(NC(C)=O)[nH]n2)ccc1Cl; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ncnc3c(C)csc23)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ncc(Cl)cn2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(N)nc3[nH]ccc23)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(N)nc3[nH]ccc23)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['Nc1cc(Br)c2cc[nH]c2n1']; [0.9797544479370117]
+CC(=O)Nc1cc(-c2ncnc3c(C)csc23)n[nH]1; [None]; [None]; [0]
 COc1cc(-c2cc(NC(C)=O)[nH]n2)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(NC(C)=O)[nH]n2)c1; ['CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', None, 'CC(=O)Cl']; ['COc1cc(OC)cc(-c2cc(N)[nH]n2)c1', 'COc1cc(OC)cc(-c2cc(N)[nH]n2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', None, 'COc1cc(OC)cc(-c2cc(N)[nH]n2)c1']; [0.9996979236602783, 0.9996585249900818, 0.9995932579040527, 0.9995180368423462, 0, 0.998376727104187]
 CO[C@@H]1CC[C@@H](c2cc(NC(C)=O)[nH]n2)CC1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)nc1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3cn[nH]c3c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1']; [0.9999988079071045, 0.99998539686203]
 CCNC(=O)N1CCC(c2cc(NC(C)=O)[nH]n2)CC1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)n[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(NC(C)=O)[nH]n2)c1; [None]; [None]; [0]
+CCn1cc(-c2cc(NC(C)=O)[nH]n2)cn1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; [0.9960647821426392, 0.9682551622390747]
 COc1ccc2c(c1)c(-c1cc(NC(C)=O)[nH]n1)cn2C; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)n[nH]1; [None]; [None]; [0]
 COc1ccc2oc(-c3cc(NC(C)=O)[nH]n3)cc2c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3cn[nH]c3c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C[NH+](C)C)cc2)n[nH]1; [None]; [None]; [0]
-CCn1cc(-c2cc(NC(C)=O)[nH]n2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cn(C)nc2C(C)C)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; [0.9997637271881104]
 CNC(=O)c1ccc(OC)c(-c2cc(NC(C)=O)[nH]n2)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(-c3cccnc3)ccn2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc3ccccc3o2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C[NH+](C)C)cc2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(OC(F)(F)F)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [1.0, 0.999981164932251]
 CC(=O)Nc1cc(-c2cc(Br)cn2C)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc3ccccc3o2)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ncc3sccc3n2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cn(C)nc2C(C)C)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(-c3cccnc3)ccn2)n[nH]1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cc(NC(C)=O)[nH]n2)c1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['COc1ccc(F)c(C(N)=O)c1']; [0.9936814308166504]
+CC(=O)Nc1cc(-c2cn(C)c3ccccc23)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9995994567871094]
 CC(=O)Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)n[nH]1; [None]; [None]; [0]
 COc1ccc2nc(-c3cc(NC(C)=O)[nH]n3)[nH]c2c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(OC(F)(F)F)cc2)n[nH]1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cc(NC(C)=O)[nH]n2)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cn(C)c3ccccc23)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc3ccc(C(C)(C)O)cc3[nH]2)n[nH]1; [None]; [None]; [0]
-CCc1cccc(-c2cc(NC(C)=O)[nH]n2)n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ncn3c2CCCC3)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3c(cnn3C)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.9999996423721313, 0.9999978542327881, 0.9997386336326599, 0.9977366924285889]
+CC(=O)Nc1cc(-c2ccc(N(C)C)nc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1']; [0.9999933838844299, 0.9999049305915833]
 CC(=O)Nc1cc(-c2cc(C)c(OCCO)c(C)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(cnn3C)c2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ncn3c2CCCC3)n[nH]1; [None]; [None]; [0]
+CCc1cccc(-c2cc(NC(C)=O)[nH]n2)n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cnn(C3CCN(C(C)=O)CC3)c2)n[nH]1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['CC(=O)Nc1cc(Br)n[nH]1']; [0.9999557733535767]
+CC(=O)Nc1cc(-c2cc3ccc(C(C)(C)O)cc3[nH]2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3c(C)n[nH]c3c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12']; [0.9999990463256836, 0.9999943971633911, 0.9998506307601929, 0.9985058307647705, 0.9984445571899414, 0.9974992871284485]
+CC(=O)Nc1cc(-c2cccc(N3CCCC3=O)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9996638894081116, 0.997964084148407, 0.9356591701507568]
+CC(=O)Nc1cc(NC(=O)c2cccc(OC(F)(F)F)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['NC(=O)c1cccc(OC(F)(F)F)c1']; [0.9952198266983032]
 CC(=O)Nc1cc(-c2ccc3c(c2)c(Cl)nn3C)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N(C)C)nc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(C)n[nH]c3c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnn(C3CCN(C(C)=O)CC3)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(N3CCCC3=O)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(CCO)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(NC(=O)c2cccc(OC(F)(F)F)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(=O)N(C)C)cc2Cl)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(-c3cnc(C)n3C)cc2)n[nH]1; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N3CCOCC3)cc2C)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(CCO)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1']; [0.9999953508377075, 0.9992448687553406, 0.9749757051467896]
+CNC(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)c(OC)c1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; [0.9997013807296753]
 COc1cc(S(C)(=O)=O)ccc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(N3CCOCC3)cc2C)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(-c3cnc(C)n3C)cc2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(=O)N(C)C)cc2Cl)n[nH]1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CCNC(=O)c1ccc(B(O)O)cc1']; [0.999969482421875]
 COc1cc(N2CCNCC2)ccc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)c(OC)c1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(C(C)(C)O)n(C)n2)n[nH]1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc3ncccc23)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'Brc1cccc2ncccc12', 'Brc1cccc2ncccc12', 'CC(=O)Nc1ccn[nH]1']; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'Ic1cccc2ncccc12']; [0.9997086524963379, 0.9972203969955444, 0.9967591762542725, 0.946117639541626, 0.9362741708755493, 0.8287544250488281]
 CC(=O)Nc1cc(-c2cc(S(C)(=O)=O)ccc2Cl)n[nH]1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc(NC(C)=O)[nH]n2)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cc(NC(C)=O)[nH]n2)c1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(C(=O)NCCO)ccc2C)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(O)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc3ncccc23)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(Cl)c(O)c2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(=O)N(C)C)cn2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c(Cl)ccc3c2OCO3)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2']; [0.9915241003036499, 0.918315052986145]
+CC(=O)Nc1cc(-c2ccc(Cl)c(O)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['OB(O)c1ccc(Cl)c(O)c1']; [0.9983295202255249]
+CC(=O)Nc1cc(-c2c(Cl)cccc2Cl)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br']; [0.9987637996673584, 0.9643001556396484, 0.9570616483688354]
+CC(=O)Nc1cc(Oc2ccc(F)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['Oc1ccc(F)cc1']; [0.9958724975585938]
+CC(=O)Nc1cc(-c2ccc(C(N)=O)cc2F)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['NC(=O)c1ccc(B(O)O)c(F)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; [0.9998677968978882, 0.9997787475585938, 0.9818576574325562, 0.9781734943389893]
+CC(=O)Nc1cc(-c2ccc(O)cc2F)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['OB(O)c1ccc(O)cc1F', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Oc1ccc(I)c(F)c1']; [0.9979802370071411, 0.9944261312484741, 0.9702642560005188]
+COc1ccc(F)cc1-c1cc(NC(C)=O)[nH]n1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O']; [0.9995206594467163, 0.998916506767273, 0.9978379011154175]
+CC(=O)Nc1cc(-c2ccc(O)cc2Cl)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(I)c(Cl)c1']; [0.9975025057792664, 0.9036465883255005]
+COc1cc(C(N)=O)ccc1-c1cc(NC(C)=O)[nH]n1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; [0.9996892213821411]
 CC(=O)Nc1cc(-c2n[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nc3ccccc3n2C)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(Cl)cccc2Cl)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(Oc2ccc(F)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(N)=O)cc2F)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(O)cc2Cl)n[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cc(NC(C)=O)[nH]n1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O']; [0.9996452331542969, 0.998816967010498]
+CC(=O)Nc1cc(-c2cccc(Br)c2)n[nH]1; ['CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', None, 'CC(=O)Cl', 'CC(=O)Nc1cc(Br)n[nH]1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1']; ['Nc1cc(-c2cccc(Br)c2)n[nH]1', 'Nc1cc(-c2cccc(Br)c2)n[nH]1', 'OB(O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', None, 'Nc1cc(-c2cccc(Br)c2)n[nH]1', 'OB(O)c1cccc(Br)c1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1']; [0.9996792078018188, 0.9996747970581055, 0.9992885589599609, 0.9991210103034973, 0, 0.9978575110435486, 0.9963101148605347, 0.9705121517181396, 0.924186110496521]
 CC(=O)Nc1cc(-c2ccnc(N)n2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3ccccc3c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Cl', None]; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'Nc1cc(-c2ccc3ccccc3c2)n[nH]1', 'Nc1cc(-c2ccc3ccccc3c2)n[nH]1', 'Nc1cc(-c2ccc3ccccc3c2)n[nH]1', None]; [0.9999852180480957, 0.9999253749847412, 0.9995985627174377, 0.9991949200630188, 0.9960632920265198, 0]
 CC(=O)Nc1cc(-c2cn[nH]c2Cl)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(-c3ccc(O)cc3O)cc2)n[nH]1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2cc(NC(C)=O)[nH]n2)o1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(O)c(F)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'OB(O)c1ccc(O)c(F)c1']; [0.9999111294746399, 0.9883191585540771]
+CC(=O)Nc1cc(-c2ccc(-c3ccc(O)cc3O)cc2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(F)c3nc(C)[nH]c3c2)n[nH]1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cc(NC(C)=O)[nH]n2)c1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(N)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; [0.9994180202484131, 0.9822664260864258, 0.9727892875671387, 0.965518593788147, 0.9505431652069092, 0.9486511945724487, 0.9257610440254211, 0.8182476758956909]
 COc1cc(CCc2cc(NC(C)=O)[nH]n2)ccc1O; [None]; [None]; [0]
-CC(=O)Nc1cc(COc2cccc(Cl)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(Br)c2)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(O)cc2O)n[nH]1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cc(NC(C)=O)[nH]n2)c1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cnn3ncccc23)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(COc2ccccc2Cl)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(F)c(Cl)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@H](CO)c2ccccc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(CCc2ccc(Cl)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(O)ccc2C)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(C)ccc3[nH]ncc23)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c[nH]c3cnccc23)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['OB(O)c1c[nH]c2cnccc12']; [0.9829069375991821]
+CC(=O)Nc1cc(-c2ccnc(N)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(I)ccn1', 'Nc1cc(Br)ccn1']; [0.9999884366989136, 0.9994643926620483, 0.9912791848182678, 0.9438060522079468]
+CC(=O)Nc1cc(-c2ccc(F)c(Cl)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(I)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl']; [0.9999998211860657, 0.9999834895133972, 0.9999494552612305, 0.9999291896820068, 0.9999127388000488]
+CC(=O)Nc1cc(-c2c(C)ccc3[nH]ncc23)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O']; [0.9999915361404419, 0.9989573955535889]
 CC(=O)Nc1cc(-c2cc(O)ccc2Cl)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(Cl)ccc3c2OCO3)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(CO)ccc2C)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc(O)c(Cl)c2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(COc2ccccc2Cl)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(CO)ccc2C)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O']; [0.9985545873641968, 0.8964066505432129]
+CC(=O)Nc1cc(-c2cnc(O)c(Cl)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C']; [0.9999350309371948]
+CC(=O)Nc1cc(-c2[nH]cnc2-c2ccc(F)cc2)n[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2cc(NC(C)=O)[nH]n2)c1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(I)c1']; [0.9999738335609436, 0.9991437196731567, 0.989575982093811]
+CC(=O)Nc1cc(-c2ccc(NC(N)=O)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; [0.9999947547912598]
+CC(=O)Nc1cc(-c2ccc(S(C)(=O)=O)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9999988079071045, 0.9997832775115967]
+CC(=O)Nc1cc(-c2cnc3[nH]ccc3c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 0.9999974966049194]
 CC(=O)Nc1cc(-c2c[nH]c(C(N)=O)c2)n[nH]1; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cc(NC(C)=O)[nH]n3)ccc12; [None]; [None]; [0]
+COc1cc(CCc2cc(NC(C)=O)[nH]n2)cc(OC)c1; ['CC(=O)O', 'CC(=O)OC(C)=O', None, 'CC(=O)Cl']; ['COc1cc(CCc2cc(N)[nH]n2)cc(OC)c1', 'COc1cc(CCc2cc(N)[nH]n2)cc(OC)c1', None, 'COc1cc(CCc2cc(N)[nH]n2)cc(OC)c1']; [0.998889684677124, 0.9978073835372925, 0, 0.9951902627944946]
 CC(=O)Nc1cc(-c2ccc3nc(C)[nH]c3c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(NC(N)=O)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc3[nH]ccc3c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(S(C)(=O)=O)cc2)n[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cc(NC(C)=O)[nH]n3)ccc12; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cncc(O)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'OB(O)c1cncc(O)c1']; [0.9994250535964966, 0.9809746742248535]
 CC(=O)Nc1cc(-c2nc3ccccc3s2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cncc(O)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(c2)CC(=O)N3)n[nH]1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cc(NC(C)=O)[nH]n1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; [0.9918686151504517]
+CC(=O)Nc1cc(-c2ccc3c(c2)CC(=O)N3)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.99989914894104, 0.9991087913513184, 0.9981817007064819, 0.97664475440979, 0.9721521735191345, 0.7682559490203857]
+CCc1cc(O)c(F)cc1-c1cc(NC(C)=O)[nH]n1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; [0.9991828203201294]
+CC(=O)Nc1cc(-c2ccc(O)cc2C)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['Cc1cc(O)ccc1B(O)O']; [0.9771791696548462]
 CC(=O)Nc1cc([C@H](C)CC(N)=O)n[nH]1; [None]; [None]; [0]
 CNc1nccc(-c2cc(NC(C)=O)[nH]n2)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(N(C)c2ccc3c(C)n[nH]c3c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(O)cc2C)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2[nH]nc(C)c2C)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccncc2Cl)n[nH]1; ['CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1ccn[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['OB(O)c1ccncc1Cl', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1I', 'Clc1cnccc1Br', 'Clc1cnccc1Br']; [0.9998437166213989, 0.9998123645782471, 0.9997609257698059, 0.997992753982544, 0.9945088624954224, 0.9833488464355469]
+CC(=O)Nc1cc(-c2cc(C(F)F)n[nH]2)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(N(C)c2cccc(Cl)c2)n[nH]1; [None]; [None]; [0]
 CCc1sccc1-c1cc(NC(C)=O)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(Cl)c(O)c(Cl)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(c2)CCN3)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(Cl)c(O)c(Cl)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9999145865440369, 0.9987050890922546]
+CC(=O)Nc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1']; [0.999900221824646, 0.9998908042907715]
+CC(=O)Nc1cc(-c2ccc3c(c2)CCN3)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'OB(O)c1ccc2c(c1)CCN2']; [0.9999841451644897, 0.9972988367080688]
+CC(=O)Nc1cc(Nc2ccncc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['Nc1ccncc1']; [0.9788811206817627]
 CC(=O)Nc1cc(-c2cc(C(=O)[O-])c(C)o2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(O)n3nccc3n2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(Br)cc2F)n[nH]1; [None, 'CC(=O)OC(C)=O', 'CC(=O)O', 'CC(=O)Cl', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; [None, 'Nc1cc(-c2ccc(Br)cc2F)n[nH]1', 'Nc1cc(-c2ccc(Br)cc2F)n[nH]1', 'Nc1cc(-c2ccc(Br)cc2F)n[nH]1', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1I']; [0, 0.9996120929718018, 0.999610424041748, 0.9993356466293335, 0.9980303049087524, 0.9965726733207703, 0.986640214920044]
+CNc1nc(-c2cc(NC(C)=O)[nH]n2)ncc1F; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2c(N)cnn2C)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(Nc2ccncc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(Br)cc2F)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2[nH]nc3ccc(F)cc23)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2[nH]nc(C)c2C)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(N)=O)c(C)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; [0.9999952912330627]
+CC(=O)Nc1cc(-c2cc(O)n3nccc3n2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(=O)NC3CC3)cc2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1ccn[nH]1']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999982118606567, 0.9998770952224731, 0.9740128517150879, 0.8615612983703613]
+CC(=O)Nc1cc(-c2cc(O)cc(Br)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['OB(O)c1cc(O)cc(Br)c1']; [0.9991651773452759]
+CC(=O)Nc1cc(-c2ccc3nc(C)oc3c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['Cc1nc2ccc(B(O)O)cc2o1']; [0.9999980926513672]
 CC(=O)Nc1cc(N(C)c2cccc3[nH]ncc23)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(O)cc(Br)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(=O)NC3CC3)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(N)=O)c(C)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3nc(C)oc3c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(F)c(O)c(F)c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(=O)[nH][nH]c3c2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2[nH]cnc2-c2ccc(F)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(OCc2ccccc2)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(C)c(O)c(C)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['Cc1cc(B(O)O)cc(C)c1O']; [0.9944982528686523]
+CSc1cccc(-c2cc(NC(C)=O)[nH]n2)c1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1']; [0.9999692440032959, 0.9982601404190063]
+CC(=O)Nc1cc(-c2cc(F)c(O)c(F)c2)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1', 'CC(=O)Nc1cc(Br)n[nH]1']; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'OB(O)c1cc(F)c(O)c(F)c1']; [0.9995924234390259, 0.9951354265213013]
+CC(=O)Nc1cc(-c2[nH]nc3ccc(F)cc23)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(Oc2ccc(F)cc2F)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['Oc1ccc(F)cc1F']; [0.9992159605026245]
+CC(=O)Nc1cc(-c2c(-c3ccccc3)noc2C)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['Cc1onc(-c2ccccc2)c1B(O)O']; [0.9999372363090515]
 CC(=O)Nc1cc(CCc2c[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(OCc2cccc3ccccc23)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(OCc2ccc(F)cc2F)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['OCc1ccc(F)cc1F']; [0.947816014289856]
+CC(=O)Nc1cc(NCc2c(F)cccc2Cl)n[nH]1; ['CC(=O)Nc1cc(Br)n[nH]1']; ['NCc1c(F)cccc1Cl']; [0.9999353885650635]
 CC(=O)Nc1cc(-c2ocnc2-c2ccc(F)cc2)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(Oc2ccc(F)cc2F)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(Oc2ccccc2F)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(-c3ccccc3)noc2C)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(OCc2ccc(F)cc2F)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3c(=O)[nH][nH]c3c2)n[nH]1; [None]; [None]; [0]
+C(=Cc1c[nH]c2ccccc12)c1ccc2ncccc2c1; ['Brc1ccc2ncccc2c1', 'C=Cc1c[nH]c2ccccc12', 'O=C(O)Cc1ccc2ncccc2c1', 'Cc1c[nH]c2ccccc12', 'BrCc1ccc2ncccc2c1', 'C=Cc1c[nH]c2ccccc12', 'Cc1ccc2ncccc2c1', 'O=C(O)Cc1c[nH]c2ccccc12']; ['C=Cc1c[nH]c2ccccc12', 'Ic1ccc2ncccc2c1', 'O=Cc1c[nH]c2ccccc12', 'O=Cc1ccc2ncccc2c1', 'O=Cc1c[nH]c2ccccc12', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'O=Cc1c[nH]c2ccccc12', 'O=Cc1ccc2ncccc2c1']; [0.9997051954269409, 0.9996970295906067, 0.9981001615524292, 0.9977142810821533, 0.9976412653923035, 0.9843809604644775, 0.9767599105834961, 0.8876492381095886]
+COc1cc(C=Cc2ccc3ncccc3c2)cc(OC)c1; ['CCOP(=O)(Cc1cc(OC)cc(OC)c1)OCC', 'BrCc1ccc2ncccc2c1', 'COc1cc(CBr)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(CC(=O)O)cc(OC)c1', 'COc1cc(C)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1']; ['O=Cc1ccc2ncccc2c1', 'COc1cc(C=O)cc(OC)c1', 'O=Cc1ccc2ncccc2c1', 'O=C(O)Cc1ccc2ncccc2c1', 'O=Cc1ccc2ncccc2c1', 'O=Cc1ccc2ncccc2c1', 'Cc1ccc2ncccc2c1']; [0.9999754428863525, 0.99965500831604, 0.9995478391647339, 0.9993724822998047, 0.9990888833999634, 0.9986323118209839, 0.9979277849197388]
 CC(=O)Nc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cc(CCc2ccc(F)cc2F)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(NCc2c(F)cccc2Cl)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N(C)C(C)=O)cc2)[nH]n1; [None]; [None]; [0]
+COc1cc(O)cc(C=Cc2ccc3ncccc3c2)c1; [None, None, 'COc1cc(O)cc(C=O)c1', 'BrCc1ccc2ncccc2c1', 'COc1cc(O)cc(C=O)c1', 'COc1cc(O)cc(C=O)c1', 'COc1cc(C)cc(O)c1']; [None, None, 'O=C(O)Cc1ccc2ncccc2c1', 'COc1cc(O)cc(C=O)c1', 'O=Cc1ccc2ncccc2c1', 'Cc1ccc2ncccc2c1', 'O=Cc1ccc2ncccc2c1']; [0, 0, 0.9862314462661743, 0.9820444583892822, 0.9798263311386108, 0.8785619735717773, 0.8635447025299072]
+Oc1cc(O)cc(C=Cc2ccc3ncccc3c2)c1; [None, 'O=C(O)Cc1ccc2ncccc2c1', 'O=Cc1cc(O)cc(O)c1', 'O=C(O)Cc1cc(O)cc(O)c1', 'BrCc1ccc2ncccc2c1', 'Cc1cc(O)cc(O)c1', 'Cc1ccc2ncccc2c1']; [None, 'O=Cc1cc(O)cc(O)c1', 'O=Cc1ccc2ncccc2c1', 'O=Cc1ccc2ncccc2c1', 'O=Cc1cc(O)cc(O)c1', 'O=Cc1ccc2ncccc2c1', 'O=Cc1cc(O)cc(O)c1']; [0, 0.998375415802002, 0.9960423707962036, 0.9951698184013367, 0.9929664134979248, 0.9434620141983032, 0.8886660933494568]
 CCOc1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
+COc1cc(C=Cc2ccc3ncccc3c2)ccc1O; ['C=Cc1ccc(O)c(OC)c1', 'Brc1ccc2ncccc2c1', 'C=Cc1ccc(O)c(OC)c1', None, None, 'C=Cc1ccc(O)c(OC)c1', 'C=Cc1ccc(O)c(OC)c1', 'COc1cc(C=O)ccc1O', 'COc1cc(C=O)ccc1O', 'COc1cc(CC(=O)O)ccc1O']; ['OB(O)c1ccc2ncccc2c1', 'C=Cc1ccc(O)c(OC)c1', 'Ic1ccc2ncccc2c1', None, None, 'Clc1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'O=Cc1ccc2ncccc2c1', 'O=C(O)Cc1ccc2ncccc2c1', 'O=Cc1ccc2ncccc2c1']; [0.9986454248428345, 0.997873067855835, 0.9976056814193726, 0, 0, 0.9825385212898254, 0.9795804023742676, 0.9541739821434021, 0.9459315538406372, 0.9203032851219177]
+CC(=O)Nc1cc(-c2ccc(N(C)C(C)=O)cc2)[nH]n1; [None]; [None]; [0]
+COc1cc(-c2cc(NC(C)=O)n[nH]2)cc(OC)c1OC; ['CC(=O)OC(C)=O', 'CC(=O)Cl', 'CC(=O)O', None]; ['COc1cc(-c2cc(N)n[nH]2)cc(OC)c1OC', 'COc1cc(-c2cc(N)n[nH]2)cc(OC)c1OC', 'COc1cc(-c2cc(N)n[nH]2)cc(OC)c1OC', None]; [0.9939955472946167, 0.993882417678833, 0.9567134976387024, 0]
+COc1ncccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
+O=C1Nc2ccccc2C1=Cc1ccc2ncccc2c1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc(S(C)(=O)=O)c2)[nH]n1; [None]; [None]; [0]
+COc1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; ['CC(=O)Cl', 'CC(=O)OC(C)=O', 'CC(=O)O']; ['COc1ccc(-c2cc(N)n[nH]2)cc1', 'COc1ccc(-c2cc(N)n[nH]2)cc1', 'COc1ccc(-c2cc(N)n[nH]2)cc1']; [0.9881291389465332, 0.9855111837387085, 0.9568341374397278]
 CC(=O)Nc1cc(-c2ncc3ccccc3n2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2sc(C(C)(C)O)nc2C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(S(C)(=O)=O)c2)[nH]n1; [None]; [None]; [0]
-COc1ncccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
-COc1cc(-c2cc(NC(C)=O)n[nH]2)cc(OC)c1OC; [None]; [None]; [0]
-CC(=O)Nc1cc(-n2cnc3ccc(C)cc32)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc3cccnn23)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cccc(O)c2)[nH]n1; [None]; [None]; [0]
-COc1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(N3CCOCC3)cc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(C#N)ccc2O)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-n2cnc3ccc(C)cc32)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cnc3cccnn23)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(Nc2ncccn2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cccc(NC(=O)C3CC3)c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(N)=O)cc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2nc3ccccc3[nH]2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(CC(=O)N3CCN(C(C)=O)CC3)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-n2ncc3ccccc3c2=O)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(NS(C)(=O)=O)nc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C(=O)[O-])cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(N)=O)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(Nc2ncccn2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnn(Cc3cccc(C#N)c3)c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(Cc2nccc3ccccc23)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(OCCO)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2nccc3ccccc23)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cccc(C3CCNCC3)c2)[nH]n1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cnn(Cc3cccc(C#N)c3)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(OCCO)cc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)[nH]n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(F)(F)F)cc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(N(C)C)cc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(OC[C@H](C)O)cc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(OC[C@@H](C)O)cc2)[nH]n1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc3c(c2)CS(=O)(=O)C3)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(F)(F)F)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N(C)C)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(S(=O)(=O)N(C)C)cc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2sc(C)nc2C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(C2CCN(S(C)(=O)=O)CC2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(S(=O)(=O)N(C)C)cc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(C2CCN(S(C)(=O)=O)CC2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(C(C)C)nc(N)n2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(Br)cc2)[nH]n1; ['CC(=O)Cl', 'CC(=O)OC(C)=O', 'CC(=O)O']; ['Nc1cc(-c2ccc(Br)cc2)[nH]n1', 'Nc1cc(-c2ccc(Br)cc2)[nH]n1', 'Nc1cc(-c2ccc(Br)cc2)[nH]n1']; [0.988959550857544, 0.9736894369125366, 0.9520397782325745]
 CCNS(=O)(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cccc(N3CCCN(C(C)=O)CC3)c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(N(C)C)c(Cl)c2)[nH]n1; [None]; [None]; [0]
 CCCOc1ccc(-c2cc(NC(C)=O)n[nH]2)nc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)c(C)c1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cccc(C(=O)[O-])c2C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(Br)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N(C)C)c(Cl)c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccn3nccc3n2)[nH]n1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccccc2-n2cccn2)[nH]n1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3c(c2)CCO3)[nH]n1; ['CC(=O)Nc1cc[nH]n1']; ['Ic1ccc2c(c1)CCO2']; [0.9535560607910156]
 CC(=O)Nc1cc(-c2c[nH]c3ccccc23)[nH]n1; [None]; [None]; [0]
 COc1cc(OC)c(-c2cc(NC(C)=O)n[nH]2)cc1Cl; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(c2)CCO3)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nc3ccc(C(C)C)cc3[nH]2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc3ccccc3cn2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(-c3ccccc3)[nH]n2)[nH]n1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2nc3ccc(C(C)C)cc3[nH]2)[nH]n1; [None]; [None]; [0]
 COc1cc(-c2cc(NC(C)=O)n[nH]2)ccc1O; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc3c2OCO3)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2scc3c2OCCO3)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(-c3ccccc3)[nH]n2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C(C)(C)C)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cnc3ccccc3c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc3c2OCO3)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C(=O)N(C)C)cc2)[nH]n1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cnc3ccccc3c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C(C)(C)C)nc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@@H]2CC[C@@H](NC(C)=O)CC2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2scc3c2OCCO3)[nH]n1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(C)nc(N)n2)[nH]n1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc(NC(C)=O)n[nH]3)cc2)CC1; [None]; [None]; [0]
-CSc1cccc(-c2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(F)cc2Cl)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ncc(Br)cn2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc([C@@H]2CC[C@@H](NC(C)=O)CC2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccn(-c3cccc(Cl)c3)n2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2csc(N)n2)[nH]n1; [None]; [None]; [0]
+CSc1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
 COc1ccc(-c2cc(NC(C)=O)n[nH]2)cc1OC; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc3ccccc3s2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(F)cc2Cl)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3c(c2)CCC(=O)N3)[nH]n1; ['CC(=O)Nc1cc[nH]n1', 'CC(=O)Nc1cc[nH]n1']; ['O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(I)ccc2N1']; [0.9360413551330566, 0.8601679801940918]
+CCN1CCN(Cc2ccc(-c3cc(NC(C)=O)n[nH]3)cc2)CC1; [None]; [None]; [0]
 CCc1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(C)nc(N)n2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ncc(Br)cn2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(Cl)cc2Cl)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ncc3cccn3n2)[nH]n1; [None]; [None]; [0]
 COc1cc(-c2cc(NC(C)=O)n[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cn(C)nc2C(F)(F)F)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ncc3cccn3n2)[nH]n1; [None]; [None]; [0]
+COc1cc(F)c(-c2cc(NC(C)=O)n[nH]2)cc1OC; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc3ccccn3n2)[nH]n1; [None]; [None]; [0]
+COc1cc(-c2cc(NC(C)=O)n[nH]2)ccc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc3ccc(O)cc23)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc3c(c2)CC(C)(C)O3)[nH]n1; [None]; [None]; [0]
 COc1ccc2cccc(-c3cc(NC(C)=O)n[nH]3)c2c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc3ccc(O)cc23)[nH]n1; [None]; [None]; [0]
-COc1cc(F)c(-c2cc(NC(C)=O)n[nH]2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cc(NC(C)=O)n[nH]2)ccc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cnn(CCO)c2)[nH]n1; [None]; [None]; [0]
+COc1cc(-c2cc(NC(C)=O)n[nH]2)c(OC)cc1Br; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ncc(Cl)cn2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ncnc3c(C)csc23)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(N)nc3[nH]ccc23)[nH]n1; [None]; [None]; [0]
-COc1cc(-c2cc(NC(C)=O)n[nH]2)c(OC)cc1Br; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)nc1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc(NC(C)=O)n[nH]2)CC1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2cc(NC(C)=O)n[nH]2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cc(NC(C)=O)n[nH]2)CC1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)[nH]n1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cc(NC(C)=O)n[nH]1)cn2C; [None]; [None]; [0]
 COc1ccc2oc(-c3cc(NC(C)=O)n[nH]3)cc2c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3cn[nH]c3c2)[nH]n1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cc(NC(C)=O)n[nH]1)cn2C; [None]; [None]; [0]
 CCn1cc(-c2cc(NC(C)=O)n[nH]2)cn1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3cn[nH]c3c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C[NH+](C)C)cc2)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(-c3cccnc3)ccn2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc3ccccc3o2)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(Br)cn2C)[nH]n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(-c3cccnc3)ccn2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ncc3sccc3n2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cn(C)nc2C(C)C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)[nH]n1; [None]; [None]; [0]
-COc1ccc2nc(-c3cc(NC(C)=O)n[nH]3)[nH]c2c1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(OC(F)(F)F)cc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cn(C)nc2C(C)C)[nH]n1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
+COc1ccc2nc(-c3cc(NC(C)=O)n[nH]3)[nH]c2c1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cn(C)c3ccccc23)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc3ccc(C(C)(C)O)cc3[nH]2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3c(cnn3C)c2)[nH]n1; [None]; [None]; [0]
 CCc1cccc(-c2cc(NC(C)=O)n[nH]2)n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(N(C)C)nc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ncn3c2CCCC3)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(C)c(OCCO)c(C)c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(cnn3C)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc3c(c2)c(Cl)nn3C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N(C)C)nc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(C)n[nH]c3c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(NC(=O)c2cccc(OC(F)(F)F)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cnn(C3CCN(C(C)=O)CC3)c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3c(C)n[nH]c3c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cccc(N3CCCC3=O)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(CCO)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(NC(=O)c2cccc(OC(F)(F)F)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C(=O)N(C)C)cc2Cl)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(-c3cnc(C)n3C)cc2)[nH]n1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(N3CCOCC3)cc2C)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(-c3cnc(C)n3C)cc2)[nH]n1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(N3CCOCC3)cc2C)[nH]n1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)c(OC)c1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(C(C)(C)O)n(C)n2)[nH]n1; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(S(C)(=O)=O)ccc2Cl)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(C(C)(C)O)n(C)n2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(C(=O)N(C)C)cn2)[nH]n1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc(NC(C)=O)n[nH]2)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(S(C)(=O)=O)ccc2Cl)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(C(=O)NCCO)ccc2C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(O)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(Cl)c(O)c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c(Cl)ccc3c2OCO3)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c(Cl)cccc2Cl)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cccc3ncccc23)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(O)cc2Cl)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(Cl)c(O)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2n[nH]c3ccccc23)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2nc3ccccc3n2C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(Cl)cccc2Cl)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(Oc2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(O)cc2F)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C(N)=O)cc2F)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(O)cc2Cl)[nH]n1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(Oc2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cccc(Br)c2)[nH]n1; ['CC(=O)Cl', 'CC(=O)OC(C)=O', 'CC(=O)O', None]; ['Nc1cc(-c2cccc(Br)c2)[nH]n1', 'Nc1cc(-c2cccc(Br)c2)[nH]n1', 'Nc1cc(-c2cccc(Br)c2)[nH]n1', None]; [0.9957995414733887, 0.9885192513465881, 0.9647164344787598, 0]
 CC(=O)Nc1cc(-c2ccnc(N)n2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cn[nH]c2Cl)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(F)c3nc(C)[nH]c3c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(-c3ccc(O)cc3O)cc2)[nH]n1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2cc(NC(C)=O)n[nH]2)o1; [None]; [None]; [0]
-COc1cc(CCc2cc(NC(C)=O)n[nH]2)ccc1O; [None]; [None]; [0]
-CC(=O)Nc1cc(COc2cccc(Cl)c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cccc(Br)c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(O)cc2O)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3ccccc3c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cn[nH]c2Cl)[nH]n1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(O)c(F)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cnn3ncccc23)[nH]n1; [None]; [None]; [0]
+COc1cc(CCc2cc(NC(C)=O)n[nH]2)ccc1O; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(O)cc2O)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c[nH]c3cnccc23)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(COc2ccccc2Cl)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(F)c(Cl)c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@H](CO)c2ccccc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(CCc2ccc(Cl)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(O)ccc2C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(C)ccc3[nH]ncc23)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(O)ccc2Cl)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(Cl)ccc3c2OCO3)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(CO)ccc2C)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccnc(N)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cnc(O)c(Cl)c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c[nH]c(C(N)=O)c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(CO)ccc2C)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c(C)ccc3[nH]ncc23)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2[nH]cnc2-c2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
+COc1cc(CCc2cc(NC(C)=O)n[nH]2)cc(OC)c1; ['CC(=O)Cl']; ['COc1cc(CCc2cc(N)[nH]n2)cc(OC)c1']; [0.9973999857902527]
+CCOc1cccc(-c2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3cc(NC(C)=O)n[nH]3)ccc12; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c[nH]c(C(N)=O)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc3nc(C)[nH]c3c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(NC(N)=O)cc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cnc3[nH]ccc3c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cncc(O)c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(NC(N)=O)cc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(S(C)(=O)=O)cc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3c(c2)CC(=O)N3)[nH]n1; ['CC(=O)Nc1cc[nH]n1']; ['O=C1Cc2cc(B(O)O)ccc2N1']; [0.9973176717758179]
 CC(=O)Nc1cc(-c2nc3ccccc3s2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cncc(O)c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3c(c2)CC(=O)N3)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc([C@H](C)CC(N)=O)[nH]n1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc(O)cc2C)[nH]n1; [None]; [None]; [0]
 CNc1nccc(-c2cc(NC(C)=O)n[nH]2)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cc([C@H](C)CC(N)=O)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2[nH]nc(C)c2C)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccncc2Cl)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(N(C)c2ccc3c(C)n[nH]c3c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc(O)cc2C)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(C(F)F)n[nH]2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(Cl)c(O)c(Cl)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(N(C)c2cccc(Cl)c2)[nH]n1; [None]; [None]; [0]
 CCc1sccc1-c1cc(NC(C)=O)n[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(Cl)c(O)c(Cl)c2)[nH]n1; [None]; [None]; [0]
+CNc1nc(-c2cc(NC(C)=O)n[nH]2)ncc1F; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc3c(c2)CCN3)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(O)n3nccc3n2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(C(=O)[O-])c(C)o2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(N)cnn2C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(Nc2ccncc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(O)n3nccc3n2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(Br)cc2F)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2[nH]nc3ccc(F)cc23)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2[nH]nc(C)c2C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(N(C)c2cccc3[nH]ncc23)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cc(O)cc(Br)c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(Nc2ccncc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c(N)cnn2C)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C(=O)NC3CC3)cc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(N(C)c2cccc3[nH]ncc23)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2[nH]nc3ccc(F)cc23)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc(C(N)=O)c(C)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc3nc(C)oc3c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(O)cc(Br)c2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2cc(C)c(O)c(C)c2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2cc(F)c(O)c(F)c2)[nH]n1; [None]; [None]; [0]
+CSc1cccc(-c2cc(NC(C)=O)n[nH]2)c1; [None]; [None]; [0]
 CC(=O)Nc1cc(-c2ccc3c(=O)[nH][nH]c3c2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2[nH]cnc2-c2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(OCc2ccccc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2c(-c3ccccc3)noc2C)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(Oc2ccc(F)cc2F)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cc(-c2ocnc2-c2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(CCc2c[nH]c3ccccc23)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(OCc2cccc3ccccc23)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2ocnc2-c2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(Oc2ccc(F)cc2F)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(Oc2ccccc2F)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2c(-c3ccccc3)noc2C)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)[nH]n1; [None]; [None]; [0]
-CC(=O)Nc1cc(OCc2ccc(F)cc2F)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(NCc2c(F)cccc2Cl)[nH]n1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CC(=O)N(C)c1ccc(C(=O)O)cc1', 'Brc1ccc(-c2nc3ccccc3[nH]2)cc1', 'CNC(C)=O']; ['Nc1ccccc1N', 'CNC(C)=O', 'Clc1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.999819278717041, 0.9875208139419556, 0.9317476749420166]
+CCOc1ccc(-c2nc3ccccc3[nH]2)cc1; ['CCOc1ccc(CN)cc1', 'CCOc1ccc(CBr)cc1', 'CCOc1ccc(CO)cc1', 'CCOc1ccc(CO)cc1', 'CCOc1ccc(C=O)cc1', 'CCOc1ccc(C=NO)cc1', 'CCOc1ccc(C=O)cc1', 'CCOc1ccc(C(=O)O)cc1', 'CCOc1ccc(C#N)cc1', 'CCOc1ccc(C(=O)Cl)cc1']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.9969398975372314, 0.9942835569381714, 0.9940199851989746, 0.9925746917724609, 0.9882485866546631, 0.9866262674331665, 0.9828326106071472, 0.9801127910614014, 0.9701652526855469, 0.9395438432693481]
+CC(=O)Nc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cc(CCc2ccc(F)cc2F)[nH]n1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2nc3ccccc3[nH]2)c1; ['Brc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1cccc(C=O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(C(=O)O)c1', 'CS(=O)(=O)c1cccc(C=O)c1', 'CS(=O)(=O)c1cccc(C(=O)Cl)c1']; ['CS(=O)(=O)c1cccc(B(O)O)c1', 'Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N']; [0.9999457001686096, 0.9997779726982117, 0.9995745420455933, 0.9995524883270264, 0.9993048906326294, 0.9985247850418091]
+COc1cc(-c2nc3ccccc3[nH]2)cc(OC)c1OC; ['CCOC(=N)c1cc(OC)c(OC)c(OC)c1', 'COc1cc(C(=N)N)cc(OC)c1OC', 'COc1cc(CN)cc(OC)c1OC', 'COc1cc(C=O)cc(OC)c1OC', 'COc1cc(C(=O)O)cc(OC)c1OC', 'COc1cc(C#N)cc(OC)c1OC', 'COc1cc(C=NO)cc(OC)c1OC', 'COc1cc(CO)cc(OC)c1OC', 'COc1cc(CBr)cc(OC)c1OC', 'COc1cc(C=O)cc(OC)c1OC', 'COc1cc(C(=O)Cl)cc(OC)c1OC', 'COc1cc(C(=O)C(=O)O)cc(OC)c1OC']; ['Nc1ccccc1N', 'Nc1ccccc1I', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.9997518062591553, 0.9997438192367554, 0.9995899200439453, 0.9994065761566162, 0.999252438545227, 0.9989172220230103, 0.9986350536346436, 0.9977763891220093, 0.9966951608657837, 0.9958925843238831, 0.9952009916305542, 0.9798803329467773]
+CC(=O)Nc1cc(OCc2ccc(F)cc2F)[nH]n1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cnc4cccnn34)nc2c1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['O=C(O)c1cnc2cccnn12', 'O=Cc1cnc2cccnn12']; [0.9999966621398926, 0.9999594688415527]
+COc1ncccc1-c1nc2ccccc2[nH]1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1C=O', 'COc1ncccc1B(O)O', 'CO', 'COc1ncccc1C(=O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1C=O', 'C[O-]', 'CCOC(=O)c1cccnc1OC', None, 'COc1ncccc1I', None]; ['Ic1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Ic1nc2ccccc2[nH]1', 'Clc1ncccc1-c1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'Nc1ccccc1[N+](=O)[O-]', 'Clc1ncccc1-c1nc2ccccc2[nH]1', 'Nc1ccccc1N', None, 'c1ccc2[nH]cnc2c1', None]; [0.9999092817306519, 0.9996554851531982, 0.9996110200881958, 0.9987704753875732, 0.9987671971321106, 0.9987136125564575, 0.9986865520477295, 0.9985865950584412, 0.9951416850090027, 0, 0.9855283498764038, 0]
 Cc1nc(C(C)(C)O)sc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3nc4ccccc4[nH]3)c2c1; [None]; [None]; [0]
+c1ccc2nc(-c3nc4ccccc4[nH]3)ncc2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nc3ccccc3[nH]2)c1)C1CC1; ['Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'CCOC(=O)C1CC1', 'COC(=O)C1CC1', 'NC(=O)C1CC1']; ['O=C(Cl)C1CC1', 'O=C(O)C1CC1', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1']; [0.9999985694885254, 0.9999935626983643, 0.9998599290847778, 0.9998537302017212, 0.9996626973152161]
+COc1ccc(-c2nc3ccccc3[nH]2)cc1; ['COc1ccc(C(=N)N)cc1', 'CCOC(=N)c1ccc(OC)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(C(O)S(=O)(=O)[O-])cc1', 'COc1ccc(C(=O)O)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=Nc2ccccc2)cc1', None, 'COc1ccc(CO)cc1', 'COc1ccc(C#N)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(C=NO)cc1', None, 'COc1ccc(C=O)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(C(=O)Cl)cc1', 'COc1ccc(C(=O)C(=O)O)cc1', 'COS(=O)(=O)OC', 'CO', None, 'CBr']; ['Nc1ccccc1I', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', None, 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', None, 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', None, 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.9998131394386292, 0.9995143413543701, 0.9991601705551147, 0.9989502429962158, 0.9988753795623779, 0.9987767338752747, 0.9971988201141357, 0, 0.9956583976745605, 0.995342493057251, 0.9944860935211182, 0.9938056468963623, 0, 0.9895694851875305, 0.9811294674873352, 0.9764150381088257, 0.9732156991958618, 0.92915278673172, 0.8664861917495728, 0, 0.7644507884979248]
+Oc1cccc(-c2nc3ccccc3[nH]2)c1; ['Clc1nc2ccccc2[nH]1', None, None, 'Nc1ccccc1N', 'Nc1ccccc1N', None, 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', None]; ['OB(O)c1cccc(O)c1', None, None, 'OCc1cccc(O)c1', 'O=Cc1cccc(O)c1', None, 'O=Cc1cccc(O)c1', 'O=C(O)c1cccc(O)c1', 'Oc1cccc(CBr)c1', None]; [0.9968057870864868, 0, 0, 0.9786532521247864, 0.9748700261116028, 0, 0.9475373029708862, 0.9375016093254089, 0.9036753177642822, 0]
+Cc1cc(Nc2nc3ccccc3[nH]2)sn1; ['Cc1cc(N)sn1']; ['Clc1nc2ccccc2[nH]1']; [0.9650564193725586]
+N#Cc1ccc(O)c(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3nc4ccccc4[nH]3)nc2c1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ccc(N4CCOCC4)cc3)nc2c1; [None]; [None]; [0]
+c1ccc2c(-c3nc4ccccc4[nH]3)nccc2c1; ['Nc1ccccc1N', 'N#Cc1nccc2ccccc12', 'Cc1nccc2ccccc12', 'Nc1ccccc1N']; ['O=C(O)c1nccc2ccccc12', 'Nc1ccccc1N', 'Nc1ccccc1N', 'O=Cc1nccc2ccccc12']; [0.9993243217468262, 0.999255895614624, 0.9991999864578247, 0.9971520900726318]
+NC(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['Brc1nc2ccccc2[nH]1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(C(=O)O)cc1', None, 'Clc1nc2ccccc2[nH]1', None, 'N', 'NC(=O)c1ccc(C=O)cc1', 'NC(=O)c1ccc(C=O)cc1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Clc1nc2ccccc2[nH]1', 'Nc1ccccc1N', None, 'NC(=O)c1ccc(B(O)O)cc1', None, 'O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; [0.9999730587005615, 0.9999033212661743, 0.9995838403701782, 0, 0.995144248008728, 0, 0.9894378781318665, 0.973371684551239, 0.9546568393707275]
+O=C(Nc1ccccc1)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['Nc1ccccc1', 'Nc1ccccc1N', 'Nc1ccccc1N']; ['O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', 'O=C(O)c1ccc(C(=O)Nc2ccccc2)cc1', 'O=Cc1ccc(C(=O)Nc2ccccc2)cc1']; [0.9999504685401917, 0.9998757839202881, 0.9797526001930237]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc4ccccc4[nH]3)cc2)CC1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2nc3ccccc3[nH]2)cc1; ['Cc1ccc(S(=O)(=O)OCCO)cc1', 'Nc1ccccc1N', 'O=C1OCCO1', 'OCCCl', 'OCCBr', 'Nc1ccccc1N', 'OCCI', 'Nc1ccccc1N', None, 'OCCO', 'Brc1ccc(-c2nc3ccccc3[nH]2)cc1', 'OCCCBr', 'Clc1ccc(-c2nc3ccccc3[nH]2)cc1']; ['Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'O=C(O)c1ccc(OCCO)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'OCCOc1ccc(CO)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'O=Cc1ccc(OCCO)cc1', None, 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'OCCO', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'OCCO']; [0.9976290464401245, 0.9945172071456909, 0.9931943416595459, 0.9923896193504333, 0.9898927211761475, 0.989662766456604, 0.9890510439872742, 0.981839120388031, 0, 0.9649306535720825, 0.9438456296920776, 0.7997938990592957, 0.7935007810592651]
+O=C(c1ccc(-c2nc3ccccc3[nH]2)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'C1COCCN1', 'CC(C)(C)OC(=O)N1CCOCC1', 'Nc1ccccc1N']; ['Clc1nc2ccccc2[nH]1', 'O=C(O)c1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', 'O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', 'O=Cc1ccc(C(=O)N2CCOCC2)cc1']; [0.9999946355819702, 0.9999856948852539, 0.9999667406082153, 0.9999571442604065, 0.9991601705551147, 0.9990827441215515]
 N#Cc1cccc(Cn2cc(-c3nc4ccccc4[nH]3)cn2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CNS(=O)(=O)c1ccc(C(=O)O)cc1', 'CNS(=O)(=O)c1ccc(C=O)cc1', 'Brc1nc2ccccc2[nH]1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1nc2ccccc2[nH]1']; [0.9978983402252197, 0.9832184314727783, 0.9784337282180786, 0.9772305488586426]
+c1cc(-c2nc3ccccc3[nH]2)cc(C2CCNCC2)c1; ['Nc1ccccc1N']; ['O=C(O)c1cccc(C2CCNCC2)c1']; [0.9999327659606934]
+C[C@H](O)COc1ccc(-c2nc3ccccc3[nH]2)cc1; ['Cc1ccc(S(=O)(=O)OC[C@H](C)O)cc1', 'C[C@H](O)CCl', 'C[C@H](O)CO', 'C[C@H]1COC(=O)O1', 'C[C@H](O)CO']; ['Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Fc1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.9981008172035217, 0.9954217672348022, 0.9881777763366699, 0.9757424592971802, 0.8567590713500977]
+CC(=O)NCc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2nc3ccccc3[nH]2)cc1; ['Cc1ccc(S(=O)(=O)OC[C@@H](C)O)cc1', 'C[C@@H](O)CCl', 'C[C@@H](O)CO', 'C[C@@H]1COC(=O)O1', 'Brc1ccc(-c2nc3ccccc3[nH]2)cc1', 'C[C@@H](O)CO', 'C[C@@H](O)CO']; ['Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Oc1ccc(-c2nc3ccccc3[nH]2)cc1', 'C[C@@H](O)CO', 'Clc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Fc1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.9981008172035217, 0.9954217672348022, 0.9881777763366699, 0.9757424592971802, 0.9638769626617432, 0.9619235992431641, 0.8567590713500977]
+FC(F)(F)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['N=C(N)c1ccc(C(F)(F)F)cc1', 'Nc1ccccc1N', 'NCc1ccc(C(F)(F)F)cc1', 'CCOC(=N)c1ccc(C(F)(F)F)cc1', None, 'Nc1ccccc1N', 'FC(F)(F)c1ccc(CBr)cc1', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'N#Cc1ccc(C(F)(F)F)cc1', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N']; ['Nc1ccccc1I', 'O=C(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccccc1N', 'Nc1ccccc1N', None, 'OCc1ccc(C(F)(F)F)cc1', 'Nc1ccccc1N', 'OCc1ccc(C(F)(F)F)cc1', 'O=Cc1ccc(C(F)(F)F)cc1', 'Nc1ccccc1N', 'ON=Cc1ccc(C(F)(F)F)cc1', 'O=C(Cl)c1ccc(C(F)(F)F)cc1', 'O=Cc1ccc(C(F)(F)F)cc1', 'O=C(O)C(=O)c1ccc(C(F)(F)F)cc1']; [0.9998630285263062, 0.9997982978820801, 0.9997564554214478, 0.9996051788330078, 0, 0.9987351894378662, 0.9976627826690674, 0.9966831207275391, 0.9966381788253784, 0.9958738088607788, 0.9951472282409668, 0.9944572448730469, 0.9933812618255615, 0.9912586212158203]
+O=C(c1ccc(-c2nc3ccccc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CN(C)c1ccc(C(=N)N)cc1', 'CN(C)c1ccc(C(=O)O)cc1', 'CN(C)c1ccc(CO)cc1', 'CN(C)c1ccc(CBr)cc1', 'CN(C)c1ccc(CN)cc1', 'CN(C)c1ccc(C#N)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(C(=O)Cl)cc1', 'CN(C)c1ccc(C=O)cc1', None, None, None]; ['Nc1ccccc1I', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', None, None, None]; [0.9999048709869385, 0.9998911619186401, 0.9998632669448853, 0.9998048543930054, 0.9997460842132568, 0.9992468357086182, 0.9962817430496216, 0.9962148666381836, 0.9880151748657227, 0, 0, 0]
+CS(=O)(=O)N1CCC(c2nc3ccccc3[nH]2)CC1; [None, 'CC(C)(C)OC(=O)N1CCC(c2nc3ccccc3[nH]2)CC1', 'CS(=O)(=O)Cl']; [None, 'CS(=O)(=O)Cl', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0, 0.9921205043792725, 0.9765127897262573]
+CN(C)S(=O)(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(CBr)cc1', 'CN(C)S(=O)(=O)c1ccc(C(=O)Cl)cc1', 'CN(C)S(=O)(=O)c1ccc(C#N)cc1', 'Brc1nc2ccccc2[nH]1', 'CN(C)S(=O)(=O)c1ccc(CN)cc1', 'CN(C)S(=O)(=O)c1ccc(C(=O)O)cc1']; ['c1ccc2[nH]cnc2c1', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.9980714917182922, 0.9960613250732422, 0.9946139454841614, 0.9924619197845459, 0.9890400171279907, 0.9837018847465515, 0.9807100296020508]
+Cc1nc(C)c(-c2nc3ccccc3[nH]2)s1; ['Cc1nc(C)c(C=O)s1']; ['Nc1ccccc1N']; [0.9934995174407959]
+CCNS(=O)(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CCNS(=O)(=O)c1ccc(C(=O)O)cc1', 'Brc1nc2ccccc2[nH]1']; ['Nc1ccccc1N', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9984885454177856, 0.9825241565704346]
 O=S1(=O)Cc2ccc(-c3nc4ccccc4[nH]3)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(-c2nc3ccccc3[nH]2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3nc4ccccc4[nH]3)c2)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2nc3ccccc3[nH]2)C1; [None]; [None]; [0]
+Brc1ccc(-c2nc3ccccc3[nH]2)cc1; ['CCOC(=N)c1ccc(Br)cc1', 'N=C(N)c1ccc(Br)cc1', 'NCc1ccc(Br)cc1', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'BrCc1ccc(Br)cc1', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'N#Cc1ccc(Br)cc1', 'Nc1ccccc1N']; ['Nc1ccccc1N', 'Nc1ccccc1I', 'Nc1ccccc1N', 'OCc1ccc(Br)cc1', 'O=C(O)c1ccc(Br)cc1', 'OCc1ccc(Br)cc1', 'ON=Cc1ccc(Br)cc1', 'Nc1ccccc1N', 'O=C(Cl)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1', 'Nc1ccccc1N', 'O=C(O)C(=O)c1ccc(Br)cc1']; [0.9996581077575684, 0.9996565580368042, 0.999176561832428, 0.9989365935325623, 0.9988429546356201, 0.9982002973556519, 0.9978604912757874, 0.9973177909851074, 0.9959604740142822, 0.995780348777771, 0.9939903616905212, 0.991647481918335, 0.9733856320381165]
+CC(C)c1cc(-c2nc3ccccc3[nH]2)nc(N)n1; ['CC(C)c1cc(C(=O)O)nc(N)n1']; ['Nc1ccccc1N']; [0.9685941934585571]
+CC(=O)N1CCCN(c2cccc(-c3nc4ccccc4[nH]3)c2)CC1; ['Brc1cccc(-c2nc3ccccc3[nH]2)c1', 'CC(=O)N1CCCNCC1']; ['CC(=O)N1CCCNCC1', 'Fc1cccc(-c2nc3ccccc3[nH]2)c1']; [0.9997588396072388, 0.998146653175354]
 CCCOc1ccc(-c2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3nc4ccccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3ccccc3[nH]2)c(C)c1; ['Brc1nc2ccccc2[nH]1']; ['CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; [0.9995267391204834]
+c1ccc2[nH]c(-c3ccn4nccc4n3)nc2c1; ['Cc1ccn2nccc2n1']; ['Nc1ccccc1N']; [0.9860385656356812]
+COc1ccc(Cl)cc1-c1nc2ccccc2[nH]1; ['COc1ccc(Cl)cc1C(=N)N', 'COc1ccc(Cl)cc1CBr', 'COc1ccc(Cl)cc1CN', 'COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1C(=O)O', 'COc1ccc(Cl)cc1CO', 'COc1ccc(Cl)cc1C#N', 'COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1C(=O)Cl']; ['Nc1ccccc1I', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N']; [0.9998487830162048, 0.9996415376663208, 0.9989405870437622, 0.9983320832252502, 0.9980357885360718, 0.9979965686798096, 0.9970336556434631, 0.9814680814743042, 0.9775410890579224]
+Cc1c(C(=O)[O-])cccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['Brc1nc2ccccc2[nH]1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', None, 'CCN(CC)C(=O)c1ccc(C(=O)O)cc1', None, 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCNCC', 'CCN(CC)C(=O)OC(C)(C)C', None]; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', None, 'Nc1ccccc1N', None, 'Clc1nc2ccccc2[nH]1', 'O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', 'O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', None]; [0.9999955892562866, 0.9999942779541016, 0.9999898076057434, 0, 0.9997808337211609, 0, 0.999738335609436, 0.9996874332427979, 0.9938186407089233, 0]
+c1ccc2[nH]c(-c3c[nH]c4ccccc34)nc2c1; ['N#Cc1c[nH]c2ccccc12', 'Nc1ccccc1N', 'Nc1ccccc1N', 'NCc1c[nH]c2ccccc12', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'CCOC(=O)c1c[nH]c2ccccc12', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N']; ['Nc1ccccc1N', 'OCc1c[nH]c2ccccc12', 'O=C(O)c1c[nH]c2ccccc12', 'Nc1ccccc1N', 'ON=Cc1c[nH]c2ccccc12', 'O=C(O)C(=O)c1c[nH]c2ccccc12', 'O=Cc1c[nH]c2ccccc12', 'Nc1ccccc1N', 'O=Cc1c[nH]c2ccccc12', 'O=C(Cl)c1c[nH]c2ccccc12']; [0.9998999834060669, 0.9998700618743896, 0.999652624130249, 0.9995923042297363, 0.9994882345199585, 0.9994568824768066, 0.999320387840271, 0.9993103742599487, 0.996385395526886, 0.9886976480484009]
+CN(C)c1ccc(-c2nc3ccccc3[nH]2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Brc1nc2ccccc2[nH]1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl']; ['Clc1nc2ccccc2[nH]1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Ic1nc2ccccc2[nH]1']; [0.99985271692276, 0.999771237373352, 0.9995979070663452]
+c1ccc(-n2cccn2)c(-c2nc3ccccc3[nH]2)c1; ['Brc1nc2ccccc2[nH]1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Brc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'NCc1ccccc1-n1cccn1', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Clc1nc2ccccc2[nH]1', 'N#Cc1ccccc1-n1cccn1']; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Clc1nc2ccccc2[nH]1', 'OB(O)c1ccccc1-n1cccn1', 'O=Cc1ccccc1-n1cccn1', 'O=C(O)c1ccccc1-n1cccn1', 'OCc1ccccc1-n1cccn1', 'Nc1ccccc1N', 'ON=Cc1ccccc1-n1cccn1', 'O=Cc1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1ccccc1N']; [0.999989926815033, 0.9999635219573975, 0.9998159408569336, 0.9996848106384277, 0.9995287656784058, 0.9994586706161499, 0.9994066953659058, 0.9993937015533447, 0.9982267022132874, 0.9981116056442261, 0.9452065229415894]
+COc1cc(OC)c(-c2nc3ccccc3[nH]2)cc1Cl; ['COc1cc(OC)c(C=O)cc1Cl', 'COc1cc(OC)c(C=O)cc1Cl']; ['Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; [0.997269868850708, 0.9972553253173828]
+CC(=O)Nc1cccc(-c2nc3ccccc3[nH]2)c1; ['CC(=O)Nc1cccc(C(=O)O)c1', 'CC(=O)OC(C)=O', 'CC(=O)Cl', 'CC(=O)O', 'CC(=O)Nc1cccc(C=O)c1', None, 'CC(=O)OC(C)=O', 'CC(=O)Nc1cccc(C=O)c1']; ['Nc1ccccc1N', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1ccccc1N', None, 'O=[N+]([O-])c1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1ccccc1[N+](=O)[O-]']; [0.9999599456787109, 0.9998886585235596, 0.9998789429664612, 0.9992210268974304, 0.9967747926712036, 0, 0.9892598390579224, 0.9713244438171387]
+COc1cc(-c2nc3ccccc3[nH]2)ccc1O; ['COc1cc(C(=O)O)ccc1O', 'COc1cc(CO)ccc1O', 'COc1cc(C=O)ccc1O']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.9984858632087708, 0.9423882961273193, 0.9210423231124878]
+c1ccc2[nH]c(-c3ccc4c(c3)CCO4)nc2c1; ['Brc1nc2ccccc2[nH]1', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Brc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Nc1ccccc1N', 'NCc1ccc2c(c1)CCO2', 'Clc1nc2ccccc2[nH]1']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'O=Cc1ccc2c(c1)CCO2', 'O=C(Cl)c1ccc2c(c1)CCO2', 'O=Cc1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'O=C(O)c1ccc2c(c1)CCO2', 'OCc1ccc2c(c1)CCO2', 'Nc1ccccc1N', 'OB(O)c1ccc2c(c1)CCO2']; [0.9996892213821411, 0.9980310797691345, 0.9974323511123657, 0.9961618185043335, 0.9954642057418823, 0.9946286678314209, 0.992663562297821, 0.9925722479820251, 0.9887398481369019]
+c1ccc(-c2cc(-c3nc4ccccc4[nH]3)n[nH]2)cc1; ['Nc1ccccc1N', 'Cc1cc(-c2ccccc2)[nH]n1']; ['O=C(O)c1cc(-c2ccccc2)[nH]n1', 'Nc1ccccc1N']; [0.9997438192367554, 0.8628884553909302]
+c1ccc2[nH]c(-c3scc4c3OCCO4)nc2c1; ['Nc1ccccc1N']; ['O=Cc1scc2c1OCCO2']; [0.9998772144317627]
+CC(C)(C)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CC(C)(C)c1ccc(C(=N)N)cc1', 'CC(C)(C)c1ccc(CN)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(CO)cc1', 'CC(C)(C)c1ccc(C#N)cc1', 'CC(C)(C)c1ccc(CO)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(CBr)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(C=NO)cc1', 'CC(C)(C)c1ccc(C(=O)C(=O)O)cc1']; ['Nc1ccccc1I', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.9998962879180908, 0.9997998476028442, 0.9996934533119202, 0.9991742372512817, 0.999083399772644, 0.998997688293457, 0.9989123344421387, 0.9988910555839539, 0.9987263679504395, 0.997738242149353, 0.9967107772827148, 0.9948135614395142]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3nc4ccccc4[nH]3)nc2c1F; [None]; [None]; [0]
+c1cc2c(c(-c3nc4ccccc4[nH]3)c1)OCO2; ['Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'NCc1cccc2c1OCO2', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Clc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'BrCc1cccc2c1OCO2', 'Nc1ccccc1N', 'Nc1ccccc1N']; ['OCc1cccc2c1OCO2', 'OCc1cccc2c1OCO2', 'Nc1ccccc1N', 'O=Cc1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'O=C(O)c1cccc2c1OCO2', 'Nc1ccccc1N', 'O=C(Cl)c1cccc2c1OCO2', 'O=C(O)C(=O)c1cccc2c1OCO2']; [0.9998346567153931, 0.9993928670883179, 0.9988110661506653, 0.9982892274856567, 0.9982229471206665, 0.9975008368492126, 0.9935598373413086, 0.9914073944091797, 0.9831194877624512, 0.9334232807159424]
+c1ccc2ncc(-c3nc4ccccc4[nH]3)cc2c1; ['Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'CCOC(=O)c1cnc2ccccc2c1']; ['O=Cc1cnc2ccccc2c1', 'O=Cc1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'O=C(O)c1cnc2ccccc2c1', 'Nc1ccccc1N']; [0.9995958805084229, 0.9995516538619995, 0.9972625970840454, 0.9949321746826172, 0.9923686981201172]
+CC(C)c1ccc2nc(-c3nc4ccccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1nc2ccccc2[nH]1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CNC', 'CN(C)C(=O)c1ccc(C(=O)O)cc1', None, 'CN(C)C(=O)c1ccc(C=O)cc1']; ['Clc1nc2ccccc2[nH]1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1nc2ccccc2[nH]1', 'O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', 'Nc1ccccc1N', None, 'Nc1ccccc1N']; [0.9999940395355225, 0.9999889731407166, 0.9998566508293152, 0.9998302459716797, 0.9998300075531006, 0, 0.9898499250411987]
+COc1cccc(C(=O)Nc2nc3ccccc3[nH]2)c1; ['COc1cccc(C(=O)O)c1', 'COc1cccc(C(=O)Cl)c1', 'COC(=O)c1cccc(OC)c1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9995083808898926, 0.9991914629936218, 0.9666649103164673]
+Clc1cccc(-n2ccc(-c3nc4ccccc4[nH]3)n2)c1; [None]; [None]; [0]
+CC1(COc2nc3ccccc3[nH]2)COC1; ['Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1', 'CC1(CO)COC1', 'CC1(CBr)COC1', 'CC1(CO)COC1']; ['Oc1nc2ccccc2[nH]1', 'Oc1nc2ccccc2[nH]1', 'Oc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; [0.9886865019798279, 0.9455928206443787, 0.8376137018203735, 0.8244560360908508]
+Nc1nc(-c2nc3ccccc3[nH]2)cs1; [None, 'Nc1ccccc1N']; [None, 'Nc1nc(C=O)cs1']; [0, 0.9354655742645264]
+CC(C)(C)c1ccc(-c2nc3ccccc3[nH]2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(C=O)cn1', 'CC(C)(C)c1ccc(C#N)cn1', 'CC(C)(C)c1ccc(C=O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(C(=O)O)cn1']; ['Ic1nc2ccccc2[nH]1', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'Nc1ccccc1N']; [0.9999650716781616, 0.999106764793396, 0.998939037322998, 0.9980276823043823, 0.9969155788421631, 0.9802262783050537]
+CSc1ccc(-c2nc3ccccc3[nH]2)cc1; ['CSc1ccc(CBr)cc1', 'CSc1ccc(CN)cc1', 'CSc1ccc(CO)cc1', 'CSc1ccc(C(=O)O)cc1', 'CSc1ccc(CO)cc1', 'CSc1ccc(C#N)cc1', 'CSc1ccc(C=O)cc1', 'CSc1ccc(C(=O)Cl)cc1', 'CSc1ccc(C(=O)C(=O)O)cc1', 'CSc1ccc(C=O)cc1']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; [0.9992153644561768, 0.9979628920555115, 0.9971559047698975, 0.9962738752365112, 0.9940401911735535, 0.9936755299568176, 0.9922932386398315, 0.9867267608642578, 0.9786770343780518, 0.9775431156158447]
+CC(=O)N[C@@H]1CC[C@@H](c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
+c1ccc2sc(-c3nc4ccccc4[nH]3)cc2c1; ['Nc1ccccc1N']; ['O=Cc1cc2ccccc2s1']; [0.9816935062408447]
+COc1ccc(-c2nc3ccccc3[nH]2)cc1OC; ['COc1ccc(C(=N)N)cc1OC', 'COc1ccc(C=NO)cc1OC', 'COc1ccc(C#N)cc1OC', 'CCOC(=N)c1ccc(OC)c(OC)c1', 'COc1ccc(C=O)cc1OC', 'COc1ccc(C(=O)O)cc1OC', 'COc1ccc(C(=O)Cl)cc1OC', 'COc1ccc(C=O)cc1OC', 'COc1ccc(CN)cc1OC', 'COc1ccc(CO)cc1OC', 'COc1ccc(CBr)cc1OC']; ['Nc1ccccc1I', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.9994617700576782, 0.9985011219978333, 0.9977694749832153, 0.9963631629943848, 0.9927412271499634, 0.9898266792297363, 0.9882023930549622, 0.9808622598648071, 0.9604936838150024, 0.9506794214248657, 0.9466317892074585]
+Brc1cnc(-c2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
+Fc1ccc(-c2nc3ccccc3[nH]2)c(Cl)c1; ['N=C(N)c1ccc(F)cc1Cl', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', 'NCc1ccc(F)cc1Cl', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Fc1ccc(CBr)c(Cl)c1', 'N#Cc1ccc(F)cc1Cl', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1']; ['Nc1ccccc1I', 'OCc1ccc(F)cc1Cl', 'OCc1ccc(F)cc1Cl', 'O=Cc1ccc(F)cc1Cl', 'Nc1ccccc1N', 'O=Cc1ccc(F)cc1Cl', 'O=C(O)c1ccc(F)cc1Cl', 'Nc1ccccc1N', 'Nc1ccccc1N', 'ON=Cc1ccc(F)cc1Cl', 'O=C(Cl)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [0.999975860118866, 0.9999555349349976, 0.999881386756897, 0.9998776316642761, 0.9998561143875122, 0.9998393058776855, 0.999649703502655, 0.9995232820510864, 0.9994403123855591, 0.9986600279808044, 0.997233510017395, 0.9951479434967041]
+CCc1ccc(-c2nc3ccccc3[nH]2)cc1; ['CCc1ccc(CBr)cc1', 'CCc1ccc(C=O)cc1', 'CCc1ccc(C=O)cc1', 'CCc1ccc(CO)cc1', 'CCc1ccc(C(=O)O)cc1', 'CCc1ccc(CO)cc1', 'CCc1ccc(C#N)cc1', 'CCc1ccc(CN)cc1', 'CCc1ccc(C(=O)Cl)cc1', 'CCc1ccc(C(=O)C(=O)O)cc1']; ['Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.9985058307647705, 0.9963980913162231, 0.990056037902832, 0.9895555973052979, 0.9883114099502563, 0.9820777773857117, 0.9640875458717346, 0.9636224508285522, 0.9333856701850891, 0.9142906665802002]
+Cc1cc(-c2nc3ccccc3[nH]2)nc(N)n1; ['Cc1cc(C(=O)O)nc(N)n1', 'Cc1cc(C)nc(N)n1']; ['Nc1ccccc1N', 'Nc1ccccc1N']; [0.9936274290084839, 0.9906859397888184]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['C[C@H]1CCCN1', 'C[C@H]1CCCN1C(=O)OC(C)(C)C']; ['O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', 'O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.9999434351921082, 0.9997084736824036]
+COc1ccc(CNc2nc3ccccc3[nH]2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN=C=S)cc1', 'Brc1nc2ccccc2[nH]1', 'COc1ccc(CO)cc1', 'COc1ccc(CN)cc1', 'CCS(=O)(=O)c1nc2ccccc2[nH]1', 'COc1ccc(CBr)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1']; ['O=S(=O)(O)c1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'COc1ccc(CN)cc1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'COc1ccc(CN)cc1', 'Nc1nc2ccccc2[nH]1', 'O=S(=O)(Cc1ccccc1)c1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9991673827171326, 0.9990221261978149, 0.9989597797393799, 0.9984546899795532, 0.9981753826141357, 0.9971606731414795, 0.9952471256256104, 0.9923372268676758, 0.9904329776763916, 0.9879042506217957, 0.9221564531326294]
+Clc1ccc(-c2nc3ccccc3[nH]2)c(Cl)c1; ['N=C(N)c1ccc(Cl)cc1Cl', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'NCc1ccc(Cl)cc1Cl', 'Nc1ccccc1N', 'N#Cc1ccc(Cl)cc1Cl', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Clc1ccc(CBr)c(Cl)c1']; ['Nc1ccccc1I', 'OCc1ccc(Cl)cc1Cl', 'O=Cc1ccc(Cl)cc1Cl', 'Nc1ccccc1N', 'O=Cc1ccc(Cl)cc1Cl', 'Nc1ccccc1N', 'O=C(O)c1ccc(Cl)cc1Cl', 'O=C(Cl)c1ccc(Cl)cc1Cl', 'ON=Cc1ccc(Cl)cc1Cl', 'Nc1ccccc1N']; [0.9999206066131592, 0.9997538328170776, 0.9997134208679199, 0.9996861219406128, 0.9994214177131653, 0.9992730617523193, 0.9985005259513855, 0.9975267648696899, 0.9942138195037842, 0.9528303146362305]
+O=C1CCc2cc(-c3nc4ccccc4[nH]3)ccc2N1; ['Brc1nc2ccccc2[nH]1', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'N#Cc1ccc2c(c1)CCC(=O)N2', 'Nc1ccccc1N']; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'Clc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'O=C1CCc2cc(C(=O)O)ccc2N1']; [0.9996418952941895, 0.998471736907959, 0.9861060380935669, 0.9678062796592712]
+CCN1CCN(Cc2ccc(-c3nc4ccccc4[nH]3)cc2)CC1; ['CCN1CCN(Cc2ccc(C=O)cc2)CC1', 'CCN1CCN(Cc2ccc(C(=O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(C=O)cc2)CC1', 'Brc1nc2ccccc2[nH]1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN(CCCl)CCCl']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Ic1nc2ccccc2[nH]1', 'Nc1ccccc1[N+](=O)[O-]', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'Clc1nc2ccccc2[nH]1', 'NCc1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.9997621774673462, 0.9995256066322327, 0.9992977380752563, 0.9991653561592102, 0.998710572719574, 0.9963480234146118, 0.9444169998168945]
+c1ccc2[nH]c(-c3cc4ccccn4n3)nc2c1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['O=Cc1cc2ccccn2n1', 'O=C(O)c1cc2ccccn2n1']; [0.9951704740524292, 0.9902746677398682]
 O=C(C1CC1)N1CC(Nc2nc3ccccc3[nH]2)C1; [None]; [None]; [0]
+COc1ccc2cccc(-c3nc4ccccc4[nH]3)c2c1; ['COc1ccc2cccc(C=O)c2c1', 'COc1ccc2cccc(C=O)c2c1']; ['Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; [0.999527633190155, 0.9984338283538818]
+CC1(C)Cc2cc(-c3nc4ccccc4[nH]3)ccc2O1; ['CC1(C)Cc2cc(C=O)ccc2O1']; ['Nc1ccccc1N']; [0.9983420372009277]
+Oc1ccc2cccc(-c3nc4ccccc4[nH]3)c2c1; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; ['O=C(O)c1cccc2ccc(O)cc12', 'O=Cc1cccc2ccc(O)cc12', 'O=Cc1cccc2ccc(O)cc12']; [0.9958977699279785, 0.9920983910560608, 0.9324640035629272]
+Cn1cc(-c2nc3ccccc3[nH]2)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Brc1nc2ccccc2[nH]1', 'Cn1cc(C=O)c(C(F)(F)F)n1', 'Cn1cc(C=O)c(C(F)(F)F)n1', 'Cn1cc(C(=O)O)c(C(F)(F)F)n1', 'Brc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; ['Ic1nc2ccccc2[nH]1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; [0.9999920129776001, 0.9999909400939941, 0.9999678730964661, 0.9999430179595947, 0.9998295307159424, 0.9998013973236084, 0.9991482496261597]
+COc1cc(-c2nc3ccccc3[nH]2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'Brc1nc2ccccc2[nH]1', 'COc1cc(B(O)O)ccc1N1CCOCC1']; ['Ic1nc2ccccc2[nH]1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'Clc1nc2ccccc2[nH]1']; [0.9997924566268921, 0.9995682239532471, 0.9994094371795654]
+COc1cc(-c2nc3ccccc3[nH]2)ccc1Cl; ['COc1cc(C#N)ccc1Cl', 'COc1cc(C=O)ccc1Cl', 'COc1cc(CBr)ccc1Cl', 'COc1cc(C(=O)O)ccc1Cl', 'COc1cc(CN)ccc1Cl', 'COc1cc(C=O)ccc1Cl', 'COc1cc(CO)ccc1Cl']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N']; [0.9962186813354492, 0.9912266731262207, 0.9878969192504883, 0.9833477735519409, 0.9745786190032959, 0.9530972242355347, 0.9054234027862549]
+Cc1nc(Nc2nc3ccccc3[nH]2)sc1C; ['Cc1nc(Br)sc1C']; ['Nc1nc2ccccc2[nH]1']; [0.9986295700073242]
+COc1cc(F)c(-c2nc3ccccc3[nH]2)cc1OC; ['COc1cc(F)c(C(=O)O)cc1OC', 'COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C#N)cc1OC', 'COc1cc(F)c(C=O)cc1OC', None]; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', None]; [0.9994174242019653, 0.9988953471183777, 0.9981238842010498, 0.9967383146286011, 0]
+Clc1cnc(-c2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
+Cc1cc(Nc2nc3ccccc3[nH]2)nn1C; ['Brc1nc2ccccc2[nH]1', 'Cc1cc(N)nn1C', 'Cc1cc(Cl)nn1C']; ['Cc1cc(N)nn1C', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9988992214202881, 0.9969673156738281, 0.9960780143737793]
+OCCn1cc(-c2nc3ccccc3[nH]2)cn1; ['Brc1nc2ccccc2[nH]1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Brc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Clc1nc2ccccc2[nH]1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1']; [0.9999449253082275, 0.999779224395752, 0.9976455569267273, 0.9827876091003418]
+c1ccc2[nH]c(-c3ncc4cccn4n3)nc2c1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nc3ccccc3[nH]2)cc1; ['NC(=O)c1ccc(CC(=O)O)cc1']; ['Nc1ccccc1N']; [0.9994246363639832]
 Nc1cc(-c2nc3ccccc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1nc2ccccc2[nH]1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CN', 'Brc1nc2ccccc2[nH]1', 'CNC(=O)c1ccc(C(=O)O)cc1', None, 'CNC(=O)OC(C)(C)C', 'CNC(=O)c1ccc(C=O)cc1']; ['Clc1nc2ccccc2[nH]1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1nc2ccccc2[nH]1', 'O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'Nc1ccccc1N', None, 'O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', 'Nc1ccccc1N']; [0.9999051690101624, 0.9997963905334473, 0.9985852837562561, 0.9978573322296143, 0.9973766803741455, 0.9961545467376709, 0, 0.9817805886268616, 0.8338465094566345]
+COc1cc(-c2nc3ccccc3[nH]2)c(OC)cc1Br; ['COc1cc(CO)c(OC)cc1Br', 'COc1cc(C(=O)O)c(OC)cc1Br', 'COc1cc(CO)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(C=O)c(OC)cc1Br', 'COc1cc(C=O)c(OC)cc1Br']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Clc1nc2ccccc2[nH]1', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N']; [0.9987606406211853, 0.9979368448257446, 0.9977155327796936, 0.9976996183395386, 0.9940827488899231, 0.9918512105941772]
+O=C(Nc1nc2ccccc2[nH]1)c1ccco1; ['Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; ['O=C(O)c1ccco1', 'NC(=O)c1ccco1', 'O=C(Cl)c1ccco1']; [0.9903197288513184, 0.9569144248962402, 0.9523797035217285]
+Cc1csc2c(-c3nc4ccccc4[nH]3)ncnc12; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2nc3ccccc3[nH]2)cc1; ['Nc1ccccc1N']; ['O=C(O)Cc1ccc(S(=O)(=O)CCO)cc1']; [0.9885886907577515]
+O=C(Nc1cn[nH]c1)c1cccc(-c2nc3ccccc3[nH]2)c1; ['Nc1cn[nH]c1', 'COC(=O)c1cccc(-c2nc3ccccc3[nH]2)c1']; ['O=C(O)c1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1cn[nH]c1']; [0.9999963045120239, 0.9998337030410767]
+CCNC(=O)N1CCC(c2nc3ccccc3[nH]2)CC1; [None, 'CCN', None, 'CCN=C=O', 'CCNC(=O)Oc1ccc([N+](=O)[O-])cc1', 'CCNC(=O)Oc1ccccc1', 'CCNC=O', 'CCNC(=O)OCC']; [None, 'c1ccc2[nH]c(C3CCNCC3)nc2c1', None, 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0, 0.9999852180480957, 0, 0.9996854662895203, 0.9992423057556152, 0.9984841346740723, 0.9849720001220703, 0.9807596206665039]
+COc1ccc2oc(-c3nc4ccccc4[nH]3)cc2c1; ['COc1ccc2oc(C=O)cc2c1']; ['Nc1ccccc1N']; [0.9928624629974365]
+CO[C@@H]1CC[C@@H](c2nc3ccccc3[nH]2)CC1; ['CO[C@H]1CC[C@H](C(=O)O)CC1']; ['Nc1ccccc1N']; [0.999069094657898]
+COc1ccc2c(c1)c(-c1nc3ccccc3[nH]1)cn2C; ['COc1ccc2c(c1)c(C=O)cn2C', 'COc1ccc2c(c1)c(C(=O)O)cn2C']; ['Nc1ccccc1N', 'Nc1ccccc1N']; [0.9999685287475586, 0.9996663331985474]
+COc1cc(OC)cc(-c2nc3ccccc3[nH]2)c1; ['COc1cc(OC)cc(C(=N)N)c1', 'COc1cc(CN)cc(OC)c1', 'COc1cc(OC)cc(C(=O)O)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(CO)cc(OC)c1', 'COc1cc(C#N)cc(OC)c1', 'COc1cc(OC)cc(C(=O)C(=O)O)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(CO)cc(OC)c1', 'COc1cc(CBr)cc(OC)c1', 'COc1cc(OC)cc(C(=O)Cl)c1']; ['Nc1ccccc1I', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.9999065399169922, 0.9995403289794922, 0.9989227652549744, 0.9974921345710754, 0.995797872543335, 0.9953146576881409, 0.9950666427612305, 0.9907311201095581, 0.9900375604629517, 0.98072350025177, 0.9608895778656006]
+CC(C)(C)c1ccc(C(=O)Nc2nc3ccccc3[nH]2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; [0.9996339082717896, 0.9995435476303101, 0.9979609847068787]
+c1ccc2[nH]c(-c3ccc4cn[nH]c4c3)nc2c1; ['Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'NCc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N']; ['O=Cc1ccc2cn[nH]c2c1', 'O=Cc1ccc2cn[nH]c2c1', 'Nc1ccccc1N', 'Nc1ccccc1N', 'OCc1ccc2cn[nH]c2c1', 'OCc1ccc2cn[nH]c2c1', 'O=C(O)c1ccc2cn[nH]c2c1']; [0.9898013472557068, 0.9835054278373718, 0.9573018550872803, 0.951529860496521, 0.9464337825775146, 0.9334477186203003, 0.8684763312339783]
+c1ccc2oc(-c3nc4ccccc4[nH]3)cc2c1; ['NCc1cc2ccccc2o1', 'Nc1ccccc1N']; ['Nc1ccccc1N', 'O=Cc1cc2ccccc2o1']; [0.9963898062705994, 0.994174599647522]
 COc1cc(CS(C)(=O)=O)ccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1nc3ccccc3[nH]1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1nc2ccccc2[nH]1; ['Cn1cc(Br)cc1C(=O)O']; ['Nc1ccccc1N']; [0.9993380308151245]
+c1cncc(-c2ccnc(-c3nc4ccccc4[nH]3)c2)c1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ncc4sccc4n3)nc2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nc3ccccc3[nH]2)c1)N1CCCC1; ['C1CCNC1', None, 'Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1']; ['Nc1cccc(-c2nc3ccccc3[nH]2)c1', None, 'O=C(Oc1ccccc1)N1CCCC1', 'O=C(Cl)N1CCCC1']; [0.9999818205833435, 0, 0.9996621608734131, 0.9993190765380859]
+CC(C)c1nn(C)cc1-c1nc2ccccc2[nH]1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1nc2ccccc2[nH]1', 'CC(C)c1nn(C)cc1C(=O)O', 'CC(C)c1nn(C)cc1C=O']; ['Ic1nc2ccccc2[nH]1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.9999011158943176, 0.9999001026153564, 0.9995532631874084, 0.9976125359535217]
+COc1ccc(F)c(C(=O)Nc2nc3ccccc3[nH]2)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['Nc1nc2ccccc2[nH]1']; [0.9996426105499268]
+CCn1cc(-c2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
+CCc1cccc(-c2nc3ccccc3[nH]2)n1; ['CCc1cccc(C#N)n1', 'CCc1cccc(C=O)n1', 'CCc1cccc(C(=O)O)n1', 'CCc1cccc(C)n1']; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0.9988047480583191, 0.9954560399055481, 0.9942443370819092, 0.9861135482788086]
+CNC(=O)c1ccc(OC)c(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2nc3ccccc3[nH]2)cc1; ['N=C(N)c1ccc(OC(F)(F)F)cc1', 'Nc1ccccc1N', 'NCc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(CBr)cc1', 'Nc1ccccc1N', 'N#Cc1ccc(OC(F)(F)F)cc1', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; ['Nc1ccccc1I', 'O=C(Cl)c1ccc(OC(F)(F)F)cc1', 'Nc1ccccc1N', 'Nc1ccccc1N', 'O=C(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccccc1N', 'O=Cc1ccc(OC(F)(F)F)cc1', 'OCc1ccc(OC(F)(F)F)cc1', 'ON=Cc1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1']; [0.9999681711196899, 0.9998781681060791, 0.9997519254684448, 0.9997199773788452, 0.9996788501739502, 0.9994282722473145, 0.9993571639060974, 0.9991363883018494, 0.9985642433166504, 0.9958613514900208]
+Cn1cc(-c2nc3ccccc3[nH]2)c2ccccc21; ['Cn1cc(C=O)c2ccccc21', 'Cn1cc(C(=O)O)c2ccccc21']; ['Nc1ccccc1N', 'Nc1ccccc1N']; [0.999894380569458, 0.9998793601989746]
+C[NH+](C)Cc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+Cc1cc(-c2nc3ccccc3[nH]2)cc(C)c1OCCO; ['Cc1cc(C=O)cc(C)c1OCCO']; ['Nc1ccccc1N']; [0.9744330048561096]
 CC(C)(O)c1ccc2cc(-c3nc4ccccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
 c1ccc2[nH]c(-c3ncn4c3CCCC4)nc2c1; [None]; [None]; [0]
+COc1ccc2nc(-c3nc4ccccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3nc4ccccc4[nH]3)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(C(=O)O)ccc12']; ['Clc1nc2ccccc2[nH]1', 'Nc1ccccc1N']; [0.9997636079788208, 0.9912309050559998]
+O=C(Nc1nc2ccccc2[nH]1)c1cccc(OC(F)(F)F)c1; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1']; [0.999919593334198, 0.9998373985290527]
+CN(C)c1ccc(-c2nc3ccccc3[nH]2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CNC', 'CN(C)c1ccc(CN)cn1', None, 'CN(C)c1ccc(C(=O)O)cn1', 'CN(C)c1ccc(CO)cn1', 'Brc1nc2ccccc2[nH]1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(C=O)cn1', 'CN(C)c1ccc(B(O)O)cn1', None, None, 'CN(C)c1ccc(C=O)cn1', 'CN(C)c1ccc(I)cn1']; ['Ic1nc2ccccc2[nH]1', 'Clc1ccc(-c2nc3ccccc3[nH]2)cn1', 'Nc1ccccc1N', None, 'Nc1ccccc1N', 'Nc1ccccc1N', 'CN(C)c1ccc(B(O)O)cn1', 'Clc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Ic1nc2ccccc2[nH]1', None, None, 'Nc1ccccc1[N+](=O)[O-]', 'c1ccc2[nH]cnc2c1']; [0.9998176097869873, 0.9992285370826721, 0.9990077018737793, 0, 0.998602569103241, 0.9985119104385376, 0.998423159122467, 0.9971449375152588, 0.9963326454162598, 0.994693398475647, 0, 0, 0.9652960300445557, 0.9094816446304321]
 Cn1nc(Cl)c2cc(-c3nc4ccccc4[nH]3)ccc21; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2nc3ccccc3[nH]2)c1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Brc1nc2ccccc2[nH]1', 'Nc1cccc(-c2nc3ccccc3[nH]2)c1', 'Nc1ccccc1N', 'Brc1cccc(-c2nc3ccccc3[nH]2)c1']; ['Clc1nc2ccccc2[nH]1', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C(Cl)CCCCl', 'O=C(O)c1cccc(N2CCCC2=O)c1', 'O=C1CCCN1']; [0.9999100565910339, 0.9999058246612549, 0.9994902610778809, 0.9994114637374878, 0.9981778264045715]
+Cn1ncc2cc(-c3nc4ccccc4[nH]3)ccc21; [None]; [None]; [0]
+OCCc1ccc(-c2nc3ccccc3[nH]2)cc1; ['Brc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'N#Cc1ccc(CCO)cc1', 'NCc1ccc(CCO)cc1', 'Clc1nc2ccccc2[nH]1']; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'O=C(O)c1ccc(CCO)cc1', 'Clc1nc2ccccc2[nH]1', 'OCCc1ccc(CBr)cc1', 'OCCc1ccc(CO)cc1', 'OCCc1ccc(CO)cc1', 'Nc1ccccc1N', 'Nc1ccccc1N', 'OCCc1ccc(B(O)O)cc1']; [0.9996297359466553, 0.9991399049758911, 0.9987229704856873, 0.9966349005699158, 0.9956858158111572, 0.9953922033309937, 0.9901382923126221, 0.9857332706451416, 0.8507048487663269]
 CC(=O)N1CCC(n2cc(-c3nc4ccccc4[nH]3)cn2)CC1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3nc4ccccc4[nH]3)cc2)n1C; [None]; [None]; [0]
-O=C(Nc1nc2ccccc2[nH]1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1nc2ccccc2[nH]1; ['Cc1cc(N2CCOCC2)ccc1C=O']; ['Nc1ccccc1N']; [0.9998717308044434]
+Cc1ncc(-c2ccc(-c3nc4ccccc4[nH]3)cc2)n1C; ['Brc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Brc1ccc(-c2nc3ccccc3[nH]2)cc1', 'Brc1ccc(-c2nc3ccccc3[nH]2)cc1']; ['Cc1ncc(Br)n1C', 'Cc1nccn1C', 'CCCC[Sn](CCCC)(CCCC)c1cnc(C)n1C']; [0.9984637498855591, 0.9964967966079712, 0.9649125337600708]
+CN(C)C(=O)c1ccc(-c2nc3ccccc3[nH]2)c(Cl)c1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3ccccc3[nH]2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Brc1nc2ccccc2[nH]1']; ['Clc1nc2ccccc2[nH]1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; [0.9998719692230225, 0.9998036026954651]
+CCNC(=O)c1ccc(-c2nc3ccccc3[nH]2)cc1; ['CCN', None, 'CCNC(=O)c1ccc(C(=O)O)cc1', 'CCNC(=O)OC(C)(C)C']; ['O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1', None, 'Nc1ccccc1N', 'O=C(O)c1ccc(-c2nc3ccccc3[nH]2)cc1']; [0.9998409748077393, 0, 0.9995875954627991, 0.9960064888000488]
+Cc1cc(Nc2nc3ccccc3[nH]2)ncc1F; ['Cc1cc(Br)ncc1F', 'Cc1cc(Cl)ncc1F', 'Cc1cc(N)ncc1F', 'Brc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F']; [0.9965609908103943, 0.9962175488471985, 0.9874749183654785, 0.9855896830558777, 0.974631667137146]
+c1ccc(Nc2nc3ccccc3[nH]2)nc1; ['Clc1ccccn1', 'Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'Brc1ccccn1', 'Fc1ccccn1', 'Ic1nc2ccccc2[nH]1', 'N#CNc1ccccn1', 'CSc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1ccccn1', 'Nc1ccccn1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1ccccn1', 'Nc1ccccc1N', 'Nc1ccccn1']; [0.9975563287734985, 0.9972543120384216, 0.9934558868408203, 0.9930845499038696, 0.9913498163223267, 0.9659792184829712, 0.9545568823814392, 0.8876502513885498]
+CS(=O)(=O)c1ccc(Cl)c(-c2nc3ccccc3[nH]2)c1; ['CS(=O)(=O)c1ccc(Cl)c(C(=O)O)c1']; ['Nc1ccccc1N']; [0.9945858716964722]
+Fc1ccc(Nc2nc3ccccc3[nH]2)nc1; ['CS(=O)(=O)c1nc2ccccc2[nH]1', 'Fc1ccc(Br)nc1', 'Brc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Fc1ccc(Cl)nc1', 'Ic1nc2ccccc2[nH]1', 'Fc1ccc(F)nc1', 'CSc1nc2ccccc2[nH]1']; ['Nc1ccc(F)cn1', 'Nc1nc2ccccc2[nH]1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1nc2ccccc2[nH]1', 'Nc1ccc(F)cn1', 'Nc1nc2ccccc2[nH]1', 'Nc1ccc(F)cn1']; [0.9892618656158447, 0.9871442317962646, 0.9787194132804871, 0.9758408069610596, 0.96129310131073, 0.9592561721801758, 0.9259417653083801, 0.8997752666473389]
+COc1cc(N2CCNCC2)ccc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
 Cn1nc(-c2nc3ccccc3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2nc3ccccc3[nH]2)ncc1F; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc2nccnc2[nH]1; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1Br']; ['c1cnc2[nH]ccc2n1', 'c1cnc2[nH]ccc2n1']; [0.9820165634155273, 0.9103277921676636]
+CCOc1ccccc1-c1cc2nccnc2[nH]1; ['CCOc1ccccc1C#N', 'CCOc1ccccc1Br']; ['Cc1cnccn1', 'c1cnc2[nH]ccc2n1']; [0.9996918439865112, 0.9917303323745728]
+Cc1ccc(C(=O)NCCO)cc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cc3nccnc3[nH]2)c1; ['Cc1cnccn1']; ['N#Cc1cccc(C(F)(F)F)c1']; [0.9994217157363892]
+FC(F)(F)Oc1ccccc1-c1cc2nccnc2[nH]1; ['Cc1cnccn1']; ['N#Cc1ccccc1OC(F)(F)F']; [0.9989362359046936]
+CP(C)(=O)c1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+COC(C)(C)CCc1cc2nccnc2[nH]1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cc3nccnc3[nH]2)[nH]1; [None]; [None]; [0]
+c1ccc2c(-c3cc4nccnc4[nH]3)ccnc2c1; ['Brc1ccnc2ccccc12', 'Cc1cnccn1']; ['c1cnc2[nH]ccc2n1', 'N#Cc1ccnc2ccccc12']; [0.9956486225128174, 0.9602835178375244]
+CCn1cc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cc4nccnc4[nH]3)cn2)cc1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+OCCn1cc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc4nccnc4[nH]3)cc2c1=O; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2cc3nccnc3[nH]2)c1; ['Cc1cnccn1']; ['N#Cc1cc(Cl)ccc1Cl']; [0.9936346411705017]
+O=C(Nc1cccc(-c2cc3nccnc3[nH]2)c1)c1ccccc1; [None]; [None]; [0]
+Cc1ccc(-c2cc3nccnc3[nH]2)c(Br)c1; ['Cc1ccc(C#N)c(Br)c1']; ['Cc1cnccn1']; [0.97332763671875]
+CC(C)(C)c1nc(-c2cc3nccnc3[nH]2)cs1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3cc4nccnc4[nH]3)[nH]2)cc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+CC(C)C(=O)COc1cc2nccnc2[nH]1; [None]; [None]; [0]
+COc1cnc(-c2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc3nccnc3[nH]2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc3nccnc3[nH]2)s1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+Brc1cccc(-c2cc3nccnc3[nH]2)c1; ['Cc1cnccn1']; ['N#Cc1cccc(Br)c1']; [0.895031750202179]
+c1ccn2c(-c3cc4nccnc4[nH]3)cnc2c1; [None]; [None]; [0]
+c1cc(Cn2cncn2)cc(-c2cc3nccnc3[nH]2)c1; ['Cc1cnccn1']; ['N#Cc1cccc(Cn2cncn2)c1']; [0.9992073774337769]
+Cc1ccc(Cl)c(-c2cc3nccnc3[nH]2)c1; ['Cc1ccc(Cl)c(C#N)c1']; ['Cc1cnccn1']; [0.9894291758537292]
+Clc1cccc(Cl)c1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+c1ccc2cc(-c3cc4nccnc4[nH]3)ccc2c1; ['Cc1cnccn1']; ['N#Cc1ccc2ccccc2c1']; [0.9990349411964417]
+c1cnn2c(-c3cc4nccnc4[nH]3)cnc2c1; [None]; [None]; [0]
 Cc1c(-c2cc3nccnc3[nH]2)sc(=O)n1C; [None]; [None]; [0]
 c1cnn2ncc(-c3cc4nccnc4[nH]3)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc3nccnc3[nH]2)o1; [None]; [None]; [0]
+Nc1nccc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
+c1cncc(Nc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+c1cncc(CNc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+c1ccc2c(c1)ncn2-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+c1cnc2[nH]c(NCCc3c[nH]cn3)cc2n1; [None]; [None]; [0]
+O=C(Nc1cc2nccnc2[nH]1)c1cccs1; [None]; [None]; [0]
+c1ccc2c(-c3cc4nccnc4[nH]3)cncc2c1; ['Cc1cnccn1']; ['N#Cc1cncc2ccccc12']; [0.9984707832336426]
+O=C([O-])Cc1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cc4nccnc4[nH]3)cc2)cn1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc4nccnc4[nH]3)ccc21; ['Cc1cnccn1']; ['Cn1ncc2cc(C#N)ccc21']; [0.9999474287033081]
+c1ccc(CCNc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+c1cnc2[nH]c(-c3ccc(-c4cn[nH]c4)cc3)cc2n1; ['Cc1cnccn1']; ['N#Cc1ccc(-c2cn[nH]c2)cc1']; [0.9885693192481995]
+Oc1cccc(-c2cc3nccnc3[nH]2)c1; ['Cc1cnccn1']; ['N#Cc1cccc(O)c1']; [0.9956724643707275]
+OCc1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cc4nccnc4[nH]3)ccc12; [None]; [None]; [0]
+CCCn1cnc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
 CN1c2ccc(-c3cc4nccnc4[nH]3)cc2CS1(=O)=O; [None]; [None]; [0]
+Clc1ccc(CNc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
 COc1cc(-c2cc3nccnc3[nH]2)ccc1C(=O)[O-]; [None]; [None]; [0]
+Fc1ccccc1CNc1cc2nccnc2[nH]1; [None]; [None]; [0]
+c1cc(Nc2cc3nccnc3[nH]2)ccn1; [None]; [None]; [0]
+CSc1nc(-c2cc3nccnc3[nH]2)c[nH]1; [None]; [None]; [0]
 CC(C)n1cc(-c2cc3nccnc3[nH]2)nn1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+c1cnc2[nH]c(-c3csc4ncncc34)cc2n1; [None]; [None]; [0]
 c1cnc2[nH]c(CCc3c[nH]nn3)cc2n1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cc2nccnc2[nH]1; [None]; [None]; [0]
-O=C(Nc1cc2nccnc2[nH]1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2cc3nccnc3[nH]2)c(C(F)(F)F)c1; ['Cc1cnccn1']; ['N#Cc1ccc(F)cc1C(F)(F)F']; [0.9970762729644775]
+Nc1ncncc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cc4nccnc4[nH]3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+Nc1nc(-c2cc3nccnc3[nH]2)cs1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc3nccnc3[nH]2)c1; ['CC(=O)Nc1cccc(C#N)c1']; ['Cc1cnccn1']; [0.9920556545257568]
+Cn1cc(-c2cc3nccnc3[nH]2)c2ccccc21; ['Cc1cnccn1']; ['Cn1cc(C#N)c2ccccc21']; [0.8861616849899292]
+N#CCCc1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)CCCc1cc2nccnc2[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cc3nccnc3[nH]2)cc1Cl; ['COc1ccc(C#N)cc1Cl']; ['Cc1cnccn1']; [0.9988526105880737]
 CC(C)(COc1cc2nccnc2[nH]1)S(C)(=O)=O; [None]; [None]; [0]
+c1ccn2ncc(-c3cc4nccnc4[nH]3)c2c1; ['Cc1cnccn1']; ['N#Cc1cnn2ccccc12']; [0.9959173202514648]
+O=C(Nc1cc2nccnc2[nH]1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+c1ccc(Oc2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1cc2nccnc2[nH]1; [None]; [None]; [0]
+CCCn1cc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
+O=c1cc(-c2cc3nccnc3[nH]2)cc[nH]1; ['Cc1cnccn1']; ['N#Cc1cc[nH]c(=O)c1']; [0.7790846824645996]
 [NH3+]Cc1ccc(-c2cc3nccnc3[nH]2)cc1C(F)(F)F; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cc4nccnc4[nH]3)c21; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
 C[C@@H](Oc1cc2nccnc2[nH]1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+COc1cc(CCc2cc3nccnc3[nH]2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CC(C)(C)c1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.9979771971702576]
+CCN(CC)c1cc2nccnc2[nH]1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc2nccnc2[nH]1; ['COc1cccc(F)c1C#N']; ['Cc1cnccn1']; [0.972770094871521]
 O=c1[nH]cc(Br)c2sc(-c3cc4nccnc4[nH]3)cc12; [None]; [None]; [0]
-C[C@H](Nc1cc2nccnc2[nH]1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cc4nccnc4[nH]3)cc12; [None]; [None]; [0]
+c1ccc(-c2ccncc2Nc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+COc1ccncc1Nc1cc2nccnc2[nH]1; [None]; [None]; [0]
+c1cnc2[nH]c(-c3cnc4[nH]ccc4c3)cc2n1; ['Cc1cnccn1']; ['N#Cc1cnc2[nH]ccc2c1']; [0.7830769419670105]
+CC(C)Oc1cncc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+c1cc2c(-c3cc4nccnc4[nH]3)c[nH]c2cn1; ['Cc1cnccn1']; ['N#Cc1c[nH]c2cnccc12']; [0.998116672039032]
+c1ccc2ncc(Nc3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CNS(=O)(=O)c1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.9897872805595398]
+c1cnc2[nH]c(-c3ccc(N4CCOCC4)cc3)cc2n1; ['Cc1cnccn1']; ['N#Cc1ccc(N2CCOCC2)cc1']; [0.9998695254325867]
+CS(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CS(=O)(=O)c1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.9985275864601135]
+CNC(=O)c1c(F)cccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+CC1(c2cc3nccnc3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cc2nccnc2[nH]1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cc2nccnc2[nH]1; ['Cc1cnccn1']; ['N#Cc1c(F)cccc1Cl']; [0.8113018274307251]
+C[C@H](Nc1cc2nccnc2[nH]1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cc1cc(-c2cc3nccnc3[nH]2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+OCCc1cn(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
+C[C@H](Nc1cc2nccnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
+OCc1ccn(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
+COc1ccc(-c2cc3nccnc3[nH]2)c(OC)c1; ['COc1ccc(C#N)c(OC)c1']; ['Cc1cnccn1']; [0.9905492067337036]
+C[C@@H](Nc1cc2nccnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
+c1cnc2[nH]c(-c3ccc(-n4cncn4)cc3)cc2n1; ['Cc1cnccn1']; ['N#Cc1ccc(-n2cncn2)cc1']; [0.9982544183731079]
+c1ccc2c(c1)cnn2-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cc4nccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; ['c1cnc2[nH]ccc2n1', 'c1cnc2[nH]ccc2n1', 'c1cnc2[nH]ccc2n1']; [0.9996337294578552, 0.983577311038971, 0.9800161719322205]
+CSc1nc(C)c(-c2cc3nccnc3[nH]2)[nH]1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+c1cnc2[nH]c(-c3nncn3C3CC3)cc2n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4cc5nccnc5[nH]4)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1cc2nccnc2[nH]1)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1cc2nccnc2[nH]1)NCc1ccccn1; [None]; [None]; [0]
+Nc1nnc(-c2cc3nccnc3[nH]2)s1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cc4nccnc4[nH]3)nn2)cc1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3nccnc3[nH]2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2cc3nccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+CCc1cc(-c2cc3nccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
+c1cc(-c2cc3nccnc3[nH]2)c2sccc2c1; ['Cc1cnccn1']; ['N#Cc1cccc2ccsc12']; [0.9006550908088684]
+C[C@@H2]NC(=O)N1CCC(c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cc3nccnc3[nH]2)c(F)c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cc4nccnc4[nH]3)nc2NC1=O; [None]; [None]; [0]
+c1ccc2sc(-c3cc4nccnc4[nH]3)nc2c1; [None]; [None]; [0]
+Nc1cncc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4nccnc4[nH]3)c2)cc1; [None]; [None]; [0]
+c1cnc2c(-c3cc4nccnc4[nH]3)c[nH]c2c1; ['Cc1cnccn1']; ['N#Cc1c[nH]c2cccnc12']; [0.97664475440979]
+CC(=O)Nc1ncc(-c2cc3nccnc3[nH]2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cc3nccnc3[nH]2)nc2ccccc12; [None]; [None]; [0]
 c1cc(-c2cc3nccnc3[nH]2)c2snnc2c1; [None]; [None]; [0]
+OCCn1cnc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc2nccnc2[nH]1; ['COc1ccc(C#N)cc1C#N', 'COc1ccc(C#N)cc1I']; ['Cc1cnccn1', 'c1cnc2[nH]ccc2n1']; [0.9970155954360962, 0.9967366456985474]
+c1cnc2[nH]c(-c3ncc4cc[nH]c4n3)cc2n1; [None]; [None]; [0]
+c1ccc2nc(-c3cc4nccnc4[nH]3)ncc2c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc3nccnc3[nH]2)c1; ['CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(C#N)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['c1cnc2[nH]ccc2n1', 'Cc1cnccn1', 'c1cnc2[nH]ccc2n1']; [0.9999680519104004, 0.9999474287033081, 0.9989359378814697]
+COc1ncccc1-c1cc2nccnc2[nH]1; ['COc1ncccc1C#N', 'COc1ncccc1Br']; ['Cc1cnccn1', 'c1cnc2[nH]ccc2n1']; [0.9780703186988831, 0.9240494966506958]
+C[C@@]1(O)CC[C@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
 COc1ccc(Oc2cc3nccnc3[nH]2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+CCOc1ccc(-c2cc3nccnc3[nH]2)cc1; ['CCOc1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.9983424544334412]
+CN(C)c1cc(-c2cc3nccnc3[nH]2)cnn1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cc3nccnc3[nH]2)c1; ['CS(=O)(=O)c1cccc(C#N)c1']; ['Cc1cnccn1']; [0.9994946718215942]
+c1ccc2[nH]c(C3CCN(c4cc5nccnc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cc3nccnc3[nH]2)c1)C1CCNCC1; [None]; [None]; [0]
+COc1cc(-c2cc3nccnc3[nH]2)cc(OC)c1OC; ['COc1cc(C#N)cc(OC)c1OC']; ['Cc1cnccn1']; [0.9984171986579895]
+CC(=O)N(C)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['c1cnc2[nH]ccc2n1']; [0.9916926622390747]
+C1=C(c2c[nH]c3ccccc23)CCN(c2cc3nccnc3[nH]2)C1; [None]; [None]; [0]
+COc1ccc(-c2cc3nccnc3[nH]2)cc1; ['COc1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.9945788383483887]
 Cc1nc(C(C)(C)O)sc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc3nccnc3[nH]2)c1; ['Cc1cnccn1']; ['N#Cc1ccc(O)c(C#N)c1']; [0.9930610060691833]
+c1ccc2[nH]c(-c3cc4nccnc4[nH]3)nc2c1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cc4nccnc4[nH]3)c2c1; [None]; [None]; [0]
+Cc1cc(Nc2cc3nccnc3[nH]2)sn1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc4nccnc4[nH]3)cc2)CC1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc3nccnc3[nH]2)c1)C1CC1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cc3nccnc3[nH]2)cc1; ['CC(=O)NCc1ccc(Br)cc1']; ['c1cnc2[nH]ccc2n1']; [0.9910904169082642]
+c1ccc2c(-c3cc4nccnc4[nH]3)nccc2c1; [None]; [None]; [0]
+c1cnc(Nc2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cc4nccnc4[nH]3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2cc3nccnc3[nH]2)cc1)N1CCOCC1; [None]; [None]; [0]
+OCCOc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['Cc1cnccn1']; ['N#Cc1ccc(C(F)(F)F)cc1']; [0.9981917142868042]
+CN(C)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CN(C)c1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.9962197542190552]
+C[C@H](O)COc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+c1cc(Nc2cc3nccnc3[nH]2)ncn1; [None]; [None]; [0]
+O=C(c1ccc(-c2cc3nccnc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3cc4nccnc4[nH]3)cc2C1; [None]; [None]; [0]
+c1cc(-c2cc3nccnc3[nH]2)cc(C2CCNCC2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(C#N)cc1']; ['c1cnc2[nH]ccc2n1', 'Cc1cnccn1']; [0.9997018575668335, 0.999474048614502]
+O=C(c1ccccc1)N1CC[C@H](c2cc3nccnc3[nH]2)C1; [None]; [None]; [0]
+Brc1ccc(-c2cc3nccnc3[nH]2)cc1; ['Cc1cnccn1']; ['N#Cc1ccc(Br)cc1']; [0.9842429161071777]
 CC(C)c1cc(-c2cc3nccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cc4nccnc4[nH]3)c2)CC1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc2nccnc2[nH]1; ['COc1ccc(Cl)cc1C#N']; ['Cc1cnccn1']; [0.9789301753044128]
 CCCOc1ccc(-c2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc3nccnc3[nH]2)cc1Cl; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2cc3nccnc3[nH]2)c1; ['Cc1cnccn1']; ['N#Cc1ccccc1-n1cccn1']; [0.9514799118041992]
+CNS(=O)(=O)c1ccc(-c2cc3nccnc3[nH]2)c(C)c1; [None]; [None]; [0]
+c1cnc2[nH]c(-c3ccc4c(c3)CCO4)cc2n1; ['Cc1cnccn1']; ['N#Cc1ccc2c(c1)CCO2']; [0.9816240072250366]
+c1ccc2c(-c3cc4nccnc4[nH]3)c[nH]c2c1; ['OB(O)c1c[nH]c2ccccc12', 'Cc1cnccn1', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12']; ['c1cnc2[nH]ccc2n1', 'N#Cc1c[nH]c2ccccc12', 'c1cnc2[nH]ccc2n1', 'c1cnc2[nH]ccc2n1']; [0.9945973753929138, 0.9855668544769287, 0.9751451015472412, 0.9738051891326904]
+CCN(CC)C(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+c1cnc2[nH]c(-c3ccn4nccc4n3)cc2n1; [None]; [None]; [0]
+COc1cc(-c2cc3nccnc3[nH]2)ccc1O; ['COc1cc(C#N)ccc1O']; ['Cc1cnccn1']; [0.9989314675331116]
 CC(C)c1ccc2nc(-c3cc4nccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+c1ccc2ncc(-c3cc4nccnc4[nH]3)cc2c1; ['Cc1cnccn1']; ['N#Cc1cnc2ccccc2c1']; [0.9983210563659668]
+COc1cc(OC)c(-c2cc3nccnc3[nH]2)cc1Cl; [None]; [None]; [0]
+c1cc2c(c(-c3cc4nccnc4[nH]3)c1)OCO2; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3nccnc3[nH]2)cn1; ['CC(C)(C)c1ccc(C#N)cn1']; ['Cc1cnccn1']; [0.9990161657333374]
+COc1cccc(C(=O)Nc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+c1ccc(-c2cc(-c3cc4nccnc4[nH]3)n[nH]2)cc1; [None]; [None]; [0]
+CSc1ccc(-c2cc3nccnc3[nH]2)cc1; ['CSc1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.9969840049743652]
+CN(C)C(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cc4nccnc4[nH]3)nc2c1F; [None]; [None]; [0]
+Fc1ccc(-c2cc3nccnc3[nH]2)c(Cl)c1; ['Cc1cnccn1']; ['N#Cc1ccc(F)cc1Cl']; [0.9957091212272644]
+CCN1CCN(Cc2ccc(-c3cc4nccnc4[nH]3)cc2)CC1; [None]; [None]; [0]
+c1cnc2[nH]c(-c3scc4c3OCCO4)cc2n1; [None]; [None]; [0]
+CC1(COc2cc3nccnc3[nH]2)COC1; [None]; [None]; [0]
+CCc1ccc(-c2cc3nccnc3[nH]2)cc1; ['CCc1ccc(C#N)cc1']; ['Cc1cnccn1']; [0.9985195398330688]
+COc1ccc(-c2cc3nccnc3[nH]2)cc1OC; ['COc1ccc(C#N)cc1OC']; ['Cc1cnccn1']; [0.9990246295928955]
+Clc1cccc(-n2ccc(-c3cc4nccnc4[nH]3)n2)c1; [None]; [None]; [0]
+Clc1ccc(-c2cc3nccnc3[nH]2)c(Cl)c1; ['Cc1cnccn1']; ['N#Cc1ccc(Cl)cc1Cl']; [0.9986045360565186]
+Cc1cc(-c2cc3nccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+c1ccc2sc(-c3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3cc4nccnc4[nH]3)ccc2N1; [None]; [None]; [0]
+COc1cc(-c2cc3nccnc3[nH]2)ccc1N1CCOCC1; ['COc1cc(C#N)ccc1N1CCOCC1']; ['Cc1cnccn1']; [0.9998193979263306]
+Brc1cnc(-c2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+c1cc2cnc(-c3cc4nccnc4[nH]3)nn2c1; [None]; [None]; [0]
+c1ccn2nc(-c3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2cc3nccnc3[nH]2)C1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cc4nccnc4[nH]3)c2c1; ['COc1ccc2cccc(C#N)c2c1']; ['Cc1cnccn1']; [0.9783585667610168]
+COc1cc(-c2cc3nccnc3[nH]2)ccc1Cl; ['COc1cc(C#N)ccc1Cl']; ['Cc1cnccn1']; [0.9852281808853149]
+COc1ccc(CNc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+COc1cc(F)c(-c2cc3nccnc3[nH]2)cc1OC; ['COc1cc(F)c(C#N)cc1OC']; ['Cc1cnccn1']; [0.9970369338989258]
+Oc1ccc2cccc(-c3cc4nccnc4[nH]3)c2c1; [None]; [None]; [0]
+Cn1cc(-c2cc3nccnc3[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
+Cc1nc(Nc2cc3nccnc3[nH]2)sc1C; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cc4nccnc4[nH]3)ccc2O1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CNC(=O)c1ccc(Br)cc1']; ['c1cnc2[nH]ccc2n1']; [0.9632072448730469]
+Cc1csc2c(-c3cc4nccnc4[nH]3)ncnc12; [None]; [None]; [0]
 Nc1cc(-c2cc3nccnc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1cc(-c2cc3nccnc3[nH]2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['c1cnc2[nH]ccc2n1', 'c1cnc2[nH]ccc2n1']; [0.9747525453567505, 0.8111262917518616]
+Cc1cc(Nc2cc3nccnc3[nH]2)nn1C; [None]; [None]; [0]
+Clc1cnc(-c2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
+O=C(Nc1cc2nccnc2[nH]1)c1ccco1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc3nccnc3[nH]2)c1; ['COc1cc(C#N)cc(OC)c1']; ['Cc1cnccn1']; [0.9891577959060669]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
+c1cnc2[nH]c(-c3ccc4cn[nH]c4c3)cc2n1; ['Cc1cnccn1']; ['N#Cc1ccc2cn[nH]c2c1']; [0.9931004047393799]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cc3nccnc3[nH]2)CC1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+COc1ccc2oc(-c3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc3nccnc3[nH]1)cn2C; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc3nccnc3[nH]2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['c1cnc2[nH]ccc2n1']; [0.9833632707595825]
+C[NH+](C)Cc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+c1cnc2[nH]c(-c3ncc4sccc4n3)cc2n1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cc3nccnc3[nH]2)cc1; ['Cc1cnccn1']; ['N#Cc1ccc(OC(F)(F)F)cc1']; [0.999906063079834]
 COc1ccc(F)c(C(=O)Nc2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3cc4nccnc4[nH]3)c2)c1; [None]; [None]; [0]
+c1ccc2oc(-c3cc4nccnc4[nH]3)cc2c1; [None]; [None]; [0]
+COc1ccc2nc(-c3cc4nccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc3nccnc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cc4nccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc3nccnc3[nH]2)cn1; [None]; [None]; [0]
 c1cnc2[nH]c(-c3ncn4c3CCCC4)cc2n1; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cc4nccnc4[nH]3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cc4nccnc4[nH]3)cn2)CC1; [None]; [None]; [0]
+CCc1cccc(-c2cc3nccnc3[nH]2)n1; [None]; [None]; [0]
+Cc1cc(-c2cc3nccnc3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
 O=C(Nc1cc2nccnc2[nH]1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cc4nccnc4[nH]3)cc2)n1C; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cc4nccnc4[nH]3)ccc12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cc2nccnc2[nH]1; ['Cc1cc(N2CCOCC2)ccc1C#N']; ['Cc1cnccn1']; [0.9983808994293213]
+CC(=O)N1CCC(n2cc(-c3cc4nccnc4[nH]3)cn2)CC1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cc2nccnc2[nH]1; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['c1cnc2[nH]ccc2n1']; [0.969743013381958]
+OCCc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3nccnc3[nH]2)cc1; ['CCNC(=O)c1ccc(Br)cc1']; ['c1cnc2[nH]ccc2n1']; [0.9945089817047119]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc3nccnc3[nH]2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3nccnc3[nH]2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1']; ['c1cnc2[nH]ccc2n1']; [0.9699718952178955]
+Cc1ncc(-c2ccc(-c3cc4nccnc4[nH]3)cc2)n1C; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc3nccnc3[nH]2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
 Cn1nc(-c2cc3nccnc3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
-O=C1Nc2ccccc2C1=Cc1cc2c([nH]1)CCCC2; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+O=C1Nc2ccccc2C1=Cc1cc2c([nH]1)CCCC2; ['O=C1Cc2ccccc2N1']; ['O=Cc1cc2c([nH]1)CCCC2']; [0.9998728632926941]
+O=C1Nc2ccccc2C1=C1C(=O)Nc2ccccc21; ['O=C1Nc2ccccc2C1=O', 'O=C1Cc2ccccc2N1']; ['O=C1Nc2ccccc2C1=O', 'O=C1Nc2ccccc2C1=O']; [0.8539717197418213, 0.8400348424911499]
+Fc1ccc(Nc2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
 Cc1cc(Nc2cc3nccnc3[nH]2)ncc1F; [None]; [None]; [0]
+c1ccc(Nc2cc3nccnc3[nH]2)nc1; [None]; [None]; [0]
+O=C1Nc2ccccc2C1=Cc1cnn(CCO)c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)OC(C)=O']; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'c1ccc2scnc2c1', 'CN(C)c1ccc(-c2nc3ccccc3s2)cc1']; [0.999990701675415, 0.9977675676345825, 0.993842363357544]
+CNC(=O)c1ccc(C)c(-c2cc3nccnc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc(C=C2C(=O)Nc3ccccc32)cc1OC; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc2nccnc2[nH]1; [None]; [None]; [0]
+CCOc1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'CCOc1ccc(CC(=O)O)cc1', 'CCOc1ccc(C=O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(CN)cc1', 'CCOc1ccc(C=O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(CO)cc1', 'Brc1nc2ccccc2s1', 'CCOc1ccc(C=O)cc1', 'CCOc1ccc(C=O)cc1', 'CCOc1ccc(C(=O)O)cc1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(CN)cc1', 'CCOc1ccc(C#N)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(C(=O)Cl)cc1', 'CCOc1ccc(CN)cc1', 'CCOc1ccc(CCl)cc1', 'CCOc1ccc(C(C)=O)cc1', 'C=Cc1ccc(OCC)cc1', 'CCOc1ccc(CO)cc1', 'CCOc1ccc(CC(=O)O)cc1', 'Brc1ccc(-c2nc3ccccc3s2)cc1', 'CCOc1ccc(C(=O)O)cc1', 'CCO', 'CCOc1ccc(CN)cc1', 'CCOc1ccc(S(=O)(=O)NN)cc1', 'CCOc1ccc(C=O)cc1', 'CCI', 'CCOS(=O)(=O)OCC', 'CCOc1ccccc1', 'CCO', 'CCBr', 'Brc1nc2ccccc2s1']; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'O=[N+]([O-])c1ccccc1Cl', 'O=[N+]([O-])c1ccccc1I', 'c1ccc2scnc2c1', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1I', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'CCOc1ccc(B(O)O)cc1', 'Nc1ccccc1SSc1ccccc1N', 'Nc1ccccc1S', 'Nc1ccccc1S', 'CCOc1ccc(I)cc1', 'c1ccc2scnc2c1', 'Nc1ccccc1I', 'Nc1ccccc1S', 'Clc1nc2ccccc2s1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'CCO', 'c1ccc2scnc2c1', 'Clc1ccc(-c2nc3ccccc3s2)cc1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'c1ccc2scnc2c1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'CCOc1ccccc1']; [0.9999980926513672, 0.999962329864502, 0.9999593496322632, 0.9999004602432251, 0.9998681545257568, 0.9998586177825928, 0.9998458623886108, 0.9998167753219604, 0.9998131990432739, 0.9997368454933167, 0.9995932579040527, 0.9995630383491516, 0.9994993805885315, 0.9994106292724609, 0.9992192387580872, 0.9991884827613831, 0.999186635017395, 0.9991508722305298, 0.9990705251693726, 0.9984172582626343, 0.9980034828186035, 0.996161699295044, 0.9961611032485962, 0.9953168630599976, 0.9946689605712891, 0.9940088987350464, 0.9913359880447388, 0.9900399446487427, 0.9880555868148804, 0.9850600957870483, 0.9800375699996948, 0.9766315221786499, 0.97181236743927, 0.9608761072158813, 0.9553968906402588, 0.9503391981124878]
+Cc1[nH]c(C=C2C(=O)Nc3ccccc32)c(C)c1C; [None]; [None]; [0]
+COc1ncccc1-c1nc2ccccc2s1; ['Brc1nc2ccccc2s1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Brc1nc2ccccc2s1', 'COc1ncccc1CN', 'COc1ncccc1CO', 'COc1ncccc1C=O', 'COc1ncccc1CN', 'C[O-]', 'COc1ncccc1C(F)(F)F', 'Brc1nc2ccccc2s1', 'CO', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'COc1ncccc1C(=O)O', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'COS(=O)(=O)C(F)(F)F', 'CI', None, 'COc1ncccc1C#N', 'COc1ncccc1I', 'COc1ncccc1Br', 'COc1ncccc1C=O', 'Brc1nc2ccccc2s1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Clc1nc2ccccc2s1', 'COc1ncccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1I', 'Clc1ncccc1-c1nc2ccccc2s1', 'Nc1ccccc1S', 'COc1ncccc1B(O)O', 'Clc1ncccc1-c1nc2ccccc2s1', 'COc1ncccc1I', 'Nc1ccccc1S', 'COc1ncccc1Br', 'Oc1ncccc1-c1nc2ccccc2s1', 'Oc1ncccc1-c1nc2ccccc2s1', None, 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'COc1ccccn1']; [0.9999915361404419, 0.9999760389328003, 0.9999610185623169, 0.9999560117721558, 0.9999434351921082, 0.9999357461929321, 0.9998578429222107, 0.9998342990875244, 0.9997910261154175, 0.9996948838233948, 0.9996549487113953, 0.9995979070663452, 0.9995846748352051, 0.9994266033172607, 0.998806357383728, 0.998361349105835, 0, 0.9960944056510925, 0.9952002763748169, 0.9872708916664124, 0.9653076529502869, 0.872538685798645]
+C[NH+](C)Cc1ccc(C=C2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
+Cc1cc(C)c(C=C2C(=O)Nc3ccccc32)[nH]1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1nc2ccccc2s1; [None]; [None]; [0]
+COc1cc(-c2nc3ccccc3s2)cc(OC)c1OC; ['COc1cc(CC(=O)O)cc(OC)c1OC', 'COc1cc(CN)cc(OC)c1OC', 'Brc1nc2ccccc2s1', 'COc1cc(C(=O)O)cc(OC)c1OC', 'COc1cc(C=O)cc(OC)c1OC', 'COc1cc(C=O)cc(OC)c1OC', 'COc1cc(CN)cc(OC)c1OC', 'COc1cc(CN)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'Brc1nc2ccccc2s1', 'COc1cc(C=O)cc(OC)c1OC', 'COc1cc(C=O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'Brc1nc2ccccc2s1', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(C(C)=O)cc(OC)c1OC', 'COc1cc(C#N)cc(OC)c1OC', 'COc1cc(C(=O)O)cc(OC)c1OC', 'COc1cc(C(=O)Cl)cc(OC)c1OC', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'COc1cc(CC(=O)O)cc(OC)c1OC', 'COc1cc(CO)cc(OC)c1OC', 'COc1cc(CCl)cc(OC)c1OC', 'COc1cccc(OC)c1OC', 'COc1cc(C(=O)CC#N)cc(OC)c1OC', 'COc1cc(C=O)cc(OC)c1OC', 'COc1cc(C(=O)C(=O)O)cc(OC)c1OC', 'Brc1nc2ccccc2s1', 'COc1cc(CN)cc(OC)c1OC', 'COc1cc(CO)cc(OC)c1OC']; ['O=[N+]([O-])c1ccccc1Cl', 'O=[N+]([O-])c1ccccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1I', 'Nc1ccccc1I', 'Nc1ccccc1I', 'Nc1ccccc1S', 'Clc1nc2ccccc2s1', 'COc1cc(I)cc(OC)c1OC', 'Nc1ccccc1SSc1ccccc1N', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'COc1cc(B(O)O)cc(OC)c1OC', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Clc1nc2ccccc2s1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'COc1cc(I)cc(OC)c1OC', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'COc1cccc(OC)c1OC', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999881982803345, 0.9999825954437256, 0.9999789595603943, 0.9999774694442749, 0.9999611377716064, 0.9999029636383057, 0.9998770952224731, 0.9998724460601807, 0.9998675584793091, 0.9998129606246948, 0.9998055100440979, 0.9997817277908325, 0.9997813701629639, 0.9996528625488281, 0.9996298551559448, 0.999586820602417, 0.9995826482772827, 0.9992234110832214, 0.9991156458854675, 0.9988815784454346, 0.9986042976379395, 0.9978635311126709, 0.9977569580078125, 0.9970778226852417, 0.9965851902961731, 0.9958380460739136, 0.9956064224243164, 0.9938005208969116, 0.9936039447784424, 0.9844134449958801, 0.9832533597946167, 0.9603242874145508]
+CS(=O)(=O)c1cccc(-c2nc3ccccc3s2)c1; ['Brc1nc2ccccc2s1', 'CS(=O)(=O)c1cccc(C=O)c1', 'CS(=O)(=O)c1cccc(C#N)c1', 'CS(=O)(=O)c1cccc(C(=O)Cl)c1', 'Brc1cccc(-c2nc3ccccc3s2)c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Brc1nc2ccccc2s1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(C(=O)O)c1', 'Brc1nc2ccccc2s1']; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'CS(=O)[O-]', 'CS(=O)(=O)c1cccc(Br)c1', 'CSc1nc2ccccc2s1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'c1ccc2scnc2c1', 'Clc1nc2ccccc2s1', 'c1ccc2scnc2c1', 'CS(=O)(=O)c1cccc(Br)c1']; [0.9999951124191284, 0.9999935030937195, 0.99997878074646, 0.9999442100524902, 0.9997541308403015, 0.9996845722198486, 0.9996035099029541, 0.9994926452636719, 0.9993032217025757, 0.998988151550293, 0.9810120463371277, 0.9535526037216187]
+N#Cc1ccc(O)c(-c2nc3ccccc3s2)c1; ['N#Cc1ccc(O)c(C(=O)O)c1', 'N#Cc1ccc(O)c(C=O)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(I)c1', 'Brc1nc2ccccc2s1', 'Oc1ccccc1-c1nc2ccccc2s1', 'N#Cc1ccc(O)c(C=O)c1']; ['Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'N#Cc1ccc(O)c(B(O)O)c1', '[C-]#N', 'c1ccc2scnc2c1']; [0.9999828338623047, 0.9999616146087646, 0.9984379410743713, 0.9961371421813965, 0.9933923482894897, 0.9775898456573486, 0.9606304168701172]
+O=C(Nc1cccc(-c2nc3ccccc3s2)c1)C1CC1; ['Nc1cccc(-c2nc3ccccc3s2)c1', 'Nc1cccc(-c2nc3ccccc3s2)c1', 'CCOC(=O)C1CC1', 'COC(=O)C1CC1', 'Nc1cccc(-c2nc3ccccc3s2)c1']; ['O=C(O)C1CC1', 'O=C(Cl)C1CC1', 'Nc1cccc(-c2nc3ccccc3s2)c1', 'Nc1cccc(-c2nc3ccccc3s2)c1', 'O=CC1CC1']; [0.9999973773956299, 0.9999966621398926, 0.9999771118164062, 0.999856173992157, 0.9996521472930908]
+c1ccc2nc(-c3nc4ccccc4s3)ncc2c1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3nc4ccccc4s3)c2c1; [None]; [None]; [0]
+c1ccc2sc(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
+c1ccc2sc(-c3ccc(N4CCOCC4)cc3)nc2c1; ['NCc1ccc(N2CCOCC2)cc1', 'Brc1nc2ccccc2s1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(-c2nc3ccccc3s2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'ClCCOCCCl', 'C1COCCN1', 'ICCOCCI', 'BrCCOCCBr', 'Brc1nc2ccccc2s1', 'C1COCCN1']; ['O=[N+]([O-])c1ccccc1Cl', 'OB(O)c1ccc(N2CCOCC2)cc1', 'O=C(O)c1ccc(N2CCOCC2)cc1', 'O=Cc1ccc(N2CCOCC2)cc1', 'c1ccc2scnc2c1', 'C1COCCN1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'c1ccc2scnc2c1', 'Ic1ccc(N2CCOCC2)cc1', 'Nc1ccc(-c2nc3ccccc3s2)cc1', 'Clc1ccc(-c2nc3ccccc3s2)cc1', 'Nc1ccc(-c2nc3ccccc3s2)cc1', 'Nc1ccc(-c2nc3ccccc3s2)cc1', 'c1ccc(N2CCOCC2)cc1', 'COc1ccc(-c2nc3ccccc3s2)cc1']; [0.9999920725822449, 0.9999889135360718, 0.999983012676239, 0.9999727010726929, 0.9999319314956665, 0.9998759031295776, 0.9998407363891602, 0.9996471405029297, 0.9990439414978027, 0.9989699721336365, 0.9988183975219727, 0.9986554384231567, 0.9984153509140015, 0.9818001389503479, 0.9050332903862]
+COc1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'COc1ccc(C=O)cc1', 'COc1ccc(CC(=O)O)cc1', 'COc1ccc(C(=O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(CN)cc1', 'Brc1nc2ccccc2s1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(CO)cc1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'COc1ccc(C=O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(C#N)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(C(=O)Cl)cc1', 'COc1ccc(C(F)(F)F)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C(C)=O)cc1', 'COc1ccc(C(=O)O)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(S(=O)[O-])cc1', 'COc1ccc(CC(=O)O)cc1', 'COc1ccccc1', 'COc1ccc(C(=O)C(=O)O)cc1', 'C=Cc1ccc(OC)cc1', 'Brc1nc2ccccc2s1', 'COc1ccc(CCl)cc1', 'COS(=O)(=O)OC', 'COc1ccc(C=O)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(S(=O)(=O)NN)cc1', 'CO', None]; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'O=[N+]([O-])c1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'O=[N+]([O-])c1ccccc1Cl', 'COc1ccc(B(O)O)cc1', 'Clc1nc2ccccc2s1', 'Nc1ccccc1I', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'COc1ccc(I)cc1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'COc1ccccc1', 'Nc1ccccc1S', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Clc1ccc(-c2nc3ccccc3s2)cc1', None]; [0.9999970197677612, 0.9999929666519165, 0.9999819993972778, 0.9999108910560608, 0.9999058246612549, 0.9998894333839417, 0.9998695254325867, 0.9997716546058655, 0.9997522830963135, 0.9996119141578674, 0.9995245933532715, 0.999313473701477, 0.9992218613624573, 0.9991406202316284, 0.9991008043289185, 0.9987003803253174, 0.9986088871955872, 0.9984277486801147, 0.9969706535339355, 0.9956281185150146, 0.994970977306366, 0.9935998320579529, 0.9927690625190735, 0.9916464686393738, 0.989280104637146, 0.9866832494735718, 0.986298143863678, 0.98530513048172, 0.9832674264907837, 0.980782151222229, 0.9762778282165527, 0.9667712450027466, 0.9647696018218994, 0.9587100744247437, 0.919874370098114, 0]
+Cc1cc(Nc2nc3ccccc3s2)sn1; ['Brc1nc2ccccc2s1', 'Cc1cc(N)sn1']; ['Cc1cc(N)sn1', 'Clc1nc2ccccc2s1']; [0.9984204769134521, 0.9963963031768799]
+Oc1cccc(-c2nc3ccccc3s2)c1; ['Nc1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'O=C(O)Cc1cccc(O)c1', 'N#Cc1cccc(O)c1', 'Brc1nc2ccccc2s1', 'Nc1ccccc1S', 'Brc1nc2ccccc2s1', 'Nc1ccccc1SSc1ccccc1N', None, 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'C=Cc1cccc(O)c1', None, 'O=Cc1cccc(O)c1']; ['O=Cc1cccc(O)c1', 'O=Cc1cccc(O)c1', 'O=C(O)c1cccc(O)c1', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1S', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Oc1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(O)c1', 'O=Cc1cccc(O)c1', None, 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', None, 'c1ccc2scnc2c1']; [0.9999926090240479, 0.9999878406524658, 0.9999760389328003, 0.9999760389328003, 0.9999750852584839, 0.999972403049469, 0.9999347925186157, 0.999556303024292, 0.9992706775665283, 0, 0.9953582286834717, 0.9949979186058044, 0.9944751858711243, 0, 0.969473659992218]
+O=C([O-])c1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', None, None]; ['NC(=O)c1ccc(B(O)O)cc1', None, None]; [0.9998536109924316, 0, 0]
+c1ccc2c(-c3nc4ccccc4s3)nccc2c1; ['Nc1ccccc1S', 'Nc1ccccc1S', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1nccc2ccccc12', 'Cc1nccc2ccccc12', 'Cc1nccc2ccccc12', '[O-][n+]1ccc2ccccc2c1']; ['O=C(O)c1nccc2ccccc12', 'O=Cc1nccc2ccccc12', 'Clc1nccc2ccccc12', 'c1ccc2scnc2c1', 'Nc1ccccc1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9998732209205627, 0.9998488426208496, 0.9993325471878052, 0.9992913007736206, 0.9984968900680542, 0.9877180457115173, 0.9436992406845093]
+CC(=O)NCc1ccc(-c2nc3ccccc3s2)cc1; ['CC(=O)OC(C)=O', 'CC(=O)Cl', 'CC(=O)O', None]; ['NCc1ccc(-c2nc3ccccc3s2)cc1', 'NCc1ccc(-c2nc3ccccc3s2)cc1', 'NCc1ccc(-c2nc3ccccc3s2)cc1', None]; [0.9998551607131958, 0.999728262424469, 0.9977885484695435, 0]
+O=C(Nc1ccccc1)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'Nc1ccccc1', 'Brc1nc2ccccc2s1', 'O=C(Cl)c1ccc(-c2nc3ccccc3s2)cc1', 'Nc1ccccc1S']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Cl)c1ccc(-c2nc3ccccc3s2)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=[N+]([O-])c1ccccc1', 'O=Cc1ccc(C(=O)Nc2ccccc2)cc1']; [0.9999992251396179, 0.9999894499778748, 0.9999525547027588, 0.9999181032180786, 0.9995574355125427]
+c1ccc2[nH]c(-c3nc4ccccc4s3)nc2c1; [None]; [None]; [0]
+OCCOc1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'O=C1OCCO1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'OCCBr', 'Nc1ccccc1S', 'OCCCl', 'OCCI', 'OCCOc1ccc(Br)cc1', 'Cc1ccc(S(=O)(=O)OCCO)cc1', 'Brc1ccc(-c2nc3ccccc3s2)cc1', 'OCCOc1ccc(I)cc1', None, 'OCCO', 'Clc1ccc(-c2nc3ccccc3s2)cc1', 'OCCCBr']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'OCCOc1ccc(I)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(B(O)O)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'O=Cc1ccc(OCCO)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'c1ccc2scnc2c1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'OCCO', 'c1ccc2scnc2c1', None, 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'OCCO', 'Oc1ccc(-c2nc3ccccc3s2)cc1']; [0.9999978542327881, 0.9998980760574341, 0.999276876449585, 0.9990560412406921, 0.9987547397613525, 0.9986139535903931, 0.9981509447097778, 0.9978458881378174, 0.9972100257873535, 0.9967207908630371, 0.995293140411377, 0.9949280023574829, 0.9939718246459961, 0, 0.9870280027389526, 0.9354718923568726, 0.8773701190948486]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc4ccccc4s3)cc2)CC1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3nc4ccccc4s3)cn2)c1; [None]; [None]; [0]
+O=C(c1ccc(-c2nc3ccccc3s2)cc1)N1CCOCC1; ['Brc1nc2ccccc2s1', 'C1COCCN1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'Nc1ccccc1S', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1nc2ccccc2s1']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(Cl)c1ccc(-c2nc3ccccc3s2)cc1', 'c1ccc2scnc2c1', 'O=Cc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccccc1)N1CCOCC1']; [0.9999967217445374, 0.9999966621398926, 0.9999600648880005, 0.9999270439147949, 0.9998942613601685, 0.9998756647109985, 0.9070873260498047]
+C[C@H](O)COc1ccc(-c2nc3ccccc3s2)cc1; ['C[C@@H]1CO1', 'C[C@H]1CO1', 'Brc1ccc(-c2nc3ccccc3s2)cc1', 'C[C@H](O)CCl', 'C[C@H](O)CO', 'C[C@H]1COC(=O)O1', 'Cc1ccc(S(=O)(=O)OC[C@H](C)O)cc1', 'C[C@H](O)CO']; ['Oc1ccc(-c2nc3ccccc3s2)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'C[C@H](O)CO', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'Nc1ccc(-c2nc3ccccc3s2)cc1']; [0.9999489784240723, 0.9999489784240723, 0.998897910118103, 0.9987533092498779, 0.9977912902832031, 0.9968078136444092, 0.9962165951728821, 0.9084675908088684]
+C[C@@H](O)COc1ccc(-c2nc3ccccc3s2)cc1; ['C[C@H]1CO1', 'Brc1ccc(-c2nc3ccccc3s2)cc1', 'C[C@@H](O)CCl', 'C[C@@H](O)CO', 'C[C@@H]1COC(=O)O1', 'Cc1ccc(S(=O)(=O)OC[C@@H](C)O)cc1']; ['Oc1ccc(-c2nc3ccccc3s2)cc1', 'C[C@@H](O)CO', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1', 'Oc1ccc(-c2nc3ccccc3s2)cc1']; [0.9999490976333618, 0.998897910118103, 0.9987533092498779, 0.9977912902832031, 0.9968078136444092, 0.9962165951728821]
+CNS(=O)(=O)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'CNS(=O)(=O)c1ccc(C(=O)O)cc1', 'CNS(=O)(=O)c1ccc(C=O)cc1', 'Brc1nc2ccccc2s1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9999597072601318, 0.9999035596847534, 0.9994305372238159, 0.99932461977005]
+c1cc(-c2nc3ccccc3s2)cc(C2CCNCC2)c1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2nc3ccccc3s2)CC1; [None, 'CS(=O)(=O)Cl', 'CC(C)(C)OC(=O)N1CCC(c2nc3ccccc3s2)CC1']; [None, 'c1ccc2sc(C3CCNCC3)nc2c1', 'CS(=O)(=O)Cl']; [0, 0.999974250793457, 0.9992092847824097]
+Cc1nc(C)c(-c2nc3ccccc3s2)s1; ['Cc1nc(C)c(C=O)s1']; ['Nc1ccccc1S']; [0.9930851459503174]
+FC(F)(F)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'O=Cc1ccc(C(F)(F)F)cc1', 'Brc1nc2ccccc2s1', 'O=C(O)Cc1ccc(C(F)(F)F)cc1', 'Nc1ccccc1I', 'NCc1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccccc1S', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Clc1nc2ccccc2s1', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'N#Cc1ccc(C(F)(F)F)cc1', 'Nc1ccccc1S', 'NCc1ccc(C(F)(F)F)cc1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N', 'FC(F)(F)c1ccc(C(F)(F)F)cc1', 'NCc1ccc(C(F)(F)F)cc1', 'O=S([O-])c1ccc(C(F)(F)F)cc1', 'C=Cc1ccc(C(F)(F)F)cc1', 'O=C(O)c1ccc(C(F)(F)F)cc1', 'OCc1ccc(C(F)(F)F)cc1', 'CC(=O)c1ccc(C(F)(F)F)cc1', 'O=C(O)Cc1ccc(C(F)(F)F)cc1', 'NCc1ccc(C(F)(F)F)cc1', 'O=C(O)C(=O)c1ccc(C(F)(F)F)cc1', 'O=Cc1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(CCl)cc1', 'N#CCC(=O)c1ccc(C(F)(F)F)cc1', 'Brc1nc2ccccc2s1', 'CC[Si](CC)(CC)C(F)(F)F', 'FC(F)(F)c1ccccc1']; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'O=[N+]([O-])c1ccccc1I', 'OB(O)c1ccc(C(F)(F)F)cc1', 'O=[N+]([O-])c1ccccc1Cl', 'O=Cc1ccc(C(F)(F)F)cc1', 'O=[N+]([O-])c1ccccc1Cl', 'c1ccc2scnc2c1', 'O=C(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'O=Cc1ccc(C(F)(F)F)cc1', 'Nc1ccccc1I', 'OCc1ccc(C(F)(F)F)cc1', 'O=C(Cl)c1ccc(C(F)(F)F)cc1', 'O=Cc1ccc(C(F)(F)F)cc1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'FC(F)(F)c1ccccc1', 'Clc1ccc(-c2nc3ccccc3s2)cc1', 'c1ccc2scnc2c1']; [0.9999986290931702, 0.9999984502792358, 0.9999752640724182, 0.9999680519104004, 0.9999626874923706, 0.9999584555625916, 0.9999516010284424, 0.9999118447303772, 0.9999099969863892, 0.9998711347579956, 0.9998165965080261, 0.9998061656951904, 0.9996552467346191, 0.9995204210281372, 0.9994866847991943, 0.9994704723358154, 0.9993451237678528, 0.9991421699523926, 0.9982122182846069, 0.9974161386489868, 0.9953248500823975, 0.9935684204101562, 0.992068886756897, 0.9915075898170471, 0.9899624586105347, 0.9882454872131348, 0.9840019345283508, 0.9839808940887451, 0.9823507070541382, 0.9784295558929443, 0.925402045249939, 0.9018114805221558, 0.8969113826751709, 0.8248872756958008]
+CN(C)S(=O)(=O)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'CN(C)S(=O)(=O)c1ccc(C#N)cc1', 'CN(C)S(=O)(=O)c1ccc(C(=O)Cl)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CNC']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc(-c2nc3ccccc3s2)cc1']; [0.9999927878379822, 0.9998341202735901, 0.9996851682662964, 0.9996300935745239, 0.9985895156860352, 0.991159200668335]
 O=S1(=O)Cc2ccc(-c3nc4ccccc4s3)cc2C1; [None]; [None]; [0]
+O=C(c1ccc(-c2nc3ccccc3s2)nc1)N1CCOCC1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1']; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9997578859329224]
+CC(=O)N1CCCN(c2cccc(-c3nc4ccccc4s3)c2)CC1; ['Brc1cccc(-c2nc3ccccc3s2)c1']; ['CC(=O)N1CCCNCC1']; [0.9999847412109375]
+CCCOc1ccc(-c2nc3ccccc3s2)nc1; ['CCCOc1ccc(Br)nc1']; ['c1ccc2scnc2c1']; [0.9998650550842285]
+CN(C)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(CC(=O)O)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(CN)cc1', 'CN(C)c1ccc(C(=O)O)cc1', 'CN(C)c1ccc(CO)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'Brc1nc2ccccc2s1', 'CN(C)c1ccc(C=O)cc1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(CN)cc1', 'CN(C)c1ccc(C#N)cc1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(CN)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(C=O)cc1', 'CC(=O)c1ccc(N(C)C)cc1', 'CN(C)c1ccc(C(=O)Cl)cc1', 'Brc1ccc(-c2nc3ccccc3s2)cc1', 'CN(C)c1ccc(CO)cc1', 'COS(=O)(=O)OC', 'CN(C)c1ccc(C(=O)O)cc1', 'C=Cc1ccc(N(C)C)cc1', None, 'CN(C)c1ccc(CC(=O)O)cc1', 'Brc1nc2ccccc2s1', 'CN(C)c1ccccc1', 'CNC', None, 'CN(C)c1ccc(CN)cc1', 'CN(C)c1ccc(C=O)cc1', None]; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1nc2ccccc2s1', 'O=[N+]([O-])c1ccccc1Cl', 'O=[N+]([O-])c1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'CN(C)c1ccc(B(O)O)cc1', 'Nc1ccccc1I', 'CN(C)c1ccc(Br)cc1', 'c1ccc2scnc2c1', 'Clc1nc2ccccc2s1', 'Nc1ccccc1I', 'Nc1ccccc1S', 'CN(C)c1ccc(I)cc1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'CNC', 'c1ccc2scnc2c1', 'Nc1ccc(-c2nc3ccccc3s2)cc1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', None, 'c1ccc2scnc2c1', 'CN(C)c1ccccc1', 'c1ccc2scnc2c1', 'Clc1ccc(-c2nc3ccccc3s2)cc1', None, 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', None]; [0.9999980926513672, 0.9999959468841553, 0.9999911785125732, 0.99998939037323, 0.9999874830245972, 0.9999659061431885, 0.9999655485153198, 0.9999428987503052, 0.9999337196350098, 0.9999154806137085, 0.9999083876609802, 0.9999072551727295, 0.9998576641082764, 0.9998260736465454, 0.9998137950897217, 0.9997315406799316, 0.9996572136878967, 0.9996333122253418, 0.999169111251831, 0.9989745616912842, 0.9989476799964905, 0.9988844990730286, 0.9974550008773804, 0.9949357509613037, 0.9936157464981079, 0.9926123023033142, 0.9913564920425415, 0, 0.9875436425209045, 0.9857914447784424, 0.9781636595726013, 0.977039098739624, 0, 0.9742024540901184, 0.9631243348121643, 0]
+Brc1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'O=Cc1ccc(Br)cc1', 'O=C(O)Cc1ccc(Br)cc1', 'NCc1ccc(Br)cc1', 'Nc1ccccc1I', 'OB(O)c1ccc(Br)cc1', 'Nc1ccccc1S', 'NCc1ccc(Br)cc1', 'Nc1ccccc1SSc1ccccc1N', 'Brc1ccc(I)cc1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'N#Cc1ccc(Br)cc1', 'Nc1ccccc1S', 'FC(F)(F)c1ccc(Br)cc1', 'NCc1ccc(Br)cc1', 'Clc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'CC(=O)c1ccc(Br)cc1', 'OCc1ccc(Br)cc1', 'O=C(O)Cc1ccc(Br)cc1', 'ClCc1ccc(Br)cc1', 'O=C(O)C(=O)c1ccc(Br)cc1', 'O=C(O)c1ccc(Br)cc1', 'O=S([O-])c1ccc(Br)cc1', 'C=Cc1ccc(Br)cc1', 'NCc1ccc(Br)cc1', 'O=C1CCC(=O)N1Br', 'O=Cc1ccc(Br)cc1', 'Brc1ccc(Br)cc1', None]; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'O=[N+]([O-])c1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'O=[N+]([O-])c1ccccc1Cl', 'O=Cc1ccc(Br)cc1', 'c1ccc2scnc2c1', 'O=C(O)c1ccc(Br)cc1', 'Nc1ccccc1I', 'O=Cc1ccc(Br)cc1', 'c1ccc2scnc2c1', 'O=Cc1ccc(Br)cc1', 'OCc1ccc(Br)cc1', 'Nc1ccccc1S', 'O=C(Cl)c1ccc(Br)cc1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc(-c2nc3ccccc3s2)cc1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', None]; [0.99996417760849, 0.9999454021453857, 0.9999284744262695, 0.9997166395187378, 0.9996821880340576, 0.9995037317276001, 0.9992284178733826, 0.9989277720451355, 0.9987245202064514, 0.9986696243286133, 0.9982632398605347, 0.9982334971427917, 0.9980935454368591, 0.9980705976486206, 0.9967705607414246, 0.9955782890319824, 0.9954392910003662, 0.9940916299819946, 0.9852341413497925, 0.9840000867843628, 0.9773299694061279, 0.9755210876464844, 0.9678691625595093, 0.9655364155769348, 0.9654805660247803, 0.9530302286148071, 0.9487440586090088, 0.9465619325637817, 0.9421937465667725, 0.9338730573654175, 0]
+c1ccc2sc(-c3ccn4nccc4n3)nc2c1; ['Cc1ccn2nccc2n1', 'Brc1nc2ccccc2s1']; ['c1ccc2scnc2c1', 'c1cnc2ccnn2c1']; [0.99576735496521, 0.9950515031814575]
+CCN(CC)C(=O)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCNCC']; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'c1ccc2scnc2c1', 'O=C(Cl)c1ccc(-c2nc3ccccc3s2)cc1']; [0.9999996423721313, 0.9999823570251465, 0.9999771118164062, 0.9999597668647766, 0.9998952150344849, 0.9998835325241089]
 CC(C)c1cc(-c2nc3ccccc3s2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3nc4ccccc4s3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2nc3ccccc3s2)C1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3ccccc3s2)cc1Cl; ['Brc1nc2ccccc2s1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', None]; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Clc1nc2ccccc2s1', 'c1ccc2scnc2c1', None]; [0.9999933242797852, 0.9999364614486694, 0.997724175453186, 0]
+CNS(=O)(=O)c1ccc(-c2nc3ccccc3s2)c(C)c1; ['Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; [0.9999840259552002, 0.9996137619018555]
+Cc1c(C(=O)[O-])cccc1-c1nc2ccccc2s1; [None]; [None]; [0]
+c1ccc2sc(-c3c[nH]c4ccccc34)nc2c1; ['Nc1ccccc1S', 'Nc1ccccc1S', 'Brc1nc2ccccc2s1', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Brc1nc2ccccc2s1']; ['O=C(O)c1c[nH]c2ccccc12', 'O=Cc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'OB(O)c1c[nH]c2ccccc12']; [0.9999992847442627, 0.9999967813491821, 0.9999879598617554, 0.999765157699585, 0.99941086769104, 0.9993430972099304, 0.9987877607345581]
+COc1ccc(Cl)cc1-c1nc2ccccc2s1; ['COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1C(=O)O', 'COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1CN', 'Brc1nc2ccccc2s1', 'COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1CN', 'Brc1nc2ccccc2s1', 'COc1ccc(Cl)cc1CO', 'COc1ccc(Cl)cc1CCl', 'COc1ccc(Cl)cc1CN', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'COc1ccc(Cl)cc1C(=O)Cl', 'COc1ccc(Cl)cc1C#N', 'COc1ccc(Cl)cc1C(F)(F)F', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1CC(=O)O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1C(C)=O', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1C(=O)O', 'COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1CN', 'COc1ccc(Cl)cc1CC(=O)O', 'COc1ccc(Cl)cc1CO', 'COc1ccc(Cl)cc1']; ['O=[N+]([O-])c1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1I', 'Nc1ccccc1I', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'COc1ccc(Cl)cc1B(O)O', 'Nc1ccccc1S', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1Cl', 'COc1ccc(Cl)cc1Br', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1SSc1ccccc1N', 'O=[N+]([O-])c1ccccc1Cl', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Clc1nc2ccccc2s1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999972581863403, 0.9999969005584717, 0.9999960660934448, 0.9999951124191284, 0.999993085861206, 0.9999901652336121, 0.9999884366989136, 0.9999874830245972, 0.9999803304672241, 0.9999759197235107, 0.9999731779098511, 0.9999569654464722, 0.9999451637268066, 0.9999178647994995, 0.9999160766601562, 0.9999117851257324, 0.9999115467071533, 0.9999068975448608, 0.9999051094055176, 0.9998935461044312, 0.9998753666877747, 0.9995714426040649, 0.9993316531181335, 0.9964118003845215, 0.9948976635932922, 0.9940288066864014, 0.9938039779663086, 0.977180004119873]
+c1ccc(-c2cc(-c3nc4ccccc4s3)n[nH]2)cc1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2nc3ccccc3s2)cc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2nc3ccccc3s2)c1; ['Brc1nc2ccccc2s1', 'CC(=O)Nc1cccc(C(=O)O)c1', 'CC(=O)OC(C)=O', 'CC(=O)Nc1cccc(C=O)c1', 'CC(=O)Nc1cccc(CN)c1', 'CC(=O)Nc1cccc(C(F)(F)F)c1', 'CC(=O)Nc1cccc(C=O)c1', 'Brc1nc2ccccc2s1', 'CC(=O)Cl', 'Brc1cccc(-c2nc3ccccc3s2)c1', 'CC(=O)Nc1cccc(C=O)c1', 'CC(=O)Nc1cccc(CCl)c1', 'CC(=O)O', 'CC(=O)Nc1cccc(Br)c1', None, 'CC(=O)Nc1cccc(C=O)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Nc1ccccc1S', 'Nc1cccc(-c2nc3ccccc3s2)c1', 'O=[N+]([O-])c1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1S', 'Nc1ccccc1I', 'CC(=O)Nc1cccc(B(O)O)c1', 'Nc1cccc(-c2nc3ccccc3s2)c1', 'CC(N)=O', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1cccc(-c2nc3ccccc3s2)c1', 'c1ccc2scnc2c1', None, 'c1ccc2scnc2c1']; [0.9999991059303284, 0.9999865293502808, 0.9999248385429382, 0.9999191761016846, 0.999911904335022, 0.999890923500061, 0.9998331069946289, 0.9998307228088379, 0.9997825622558594, 0.999739408493042, 0.9997327327728271, 0.9997249841690063, 0.9995750188827515, 0.9991506338119507, 0, 0.9725146293640137]
+c1ccc2sc(-c3ccc4c(c3)CCO4)nc2c1; ['Brc1nc2ccccc2s1', 'NCc1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ccccc1I', 'Brc1ccc2c(c1)CCO2', 'Nc1ccccc1S', 'NCc1ccc2c(c1)CCO2', 'Brc1nc2ccccc2s1', 'Ic1ccc2c(c1)CCO2', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'N#Cc1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'Clc1nc2ccccc2s1', 'O=C(O)c1ccc2c(c1)CCO2', 'Nc1ccccc1SSc1ccccc1N', 'Brc1ccc2c(c1)CCO2', 'O=Cc1ccc2c(c1)CCO2', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1nc2ccccc2s1']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ccccc1I', 'Clc1nc2ccccc2s1', 'O=Cc1ccc2c(c1)CCO2', 'c1ccc2scnc2c1', 'OCc1ccc2c(c1)CCO2', 'Nc1ccccc1S', 'OB(O)c1ccc2c(c1)CCO2', 'c1ccc2scnc2c1', 'O=C(Cl)c1ccc2c(c1)CCO2', 'O=Cc1ccc2c(c1)CCO2', 'O=C(O)c1ccc2c(c1)CCO2', 'Nc1ccccc1S', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'OB(O)c1ccc2c(c1)CCO2', 'c1ccc2scnc2c1', 'O=Cc1ccc2c(c1)CCO2', 'Brc1nc2ccccc2s1', 'c1ccc2scnc2c1', 'Ic1ccc2c(c1)CCO2', 'c1ccc2c(c1)CCO2']; [0.9999943971633911, 0.9999807476997375, 0.9999771118164062, 0.9999709725379944, 0.9999192953109741, 0.999891996383667, 0.9998698234558105, 0.9998126029968262, 0.9998115301132202, 0.9997234344482422, 0.999645471572876, 0.9995828866958618, 0.9991995096206665, 0.9990003108978271, 0.9987245798110962, 0.9982085227966309, 0.9978196620941162, 0.9976581931114197, 0.996329665184021, 0.9963050484657288, 0.9691410064697266]
 CC(C)c1ccc2nc(-c3nc4ccccc4s3)[nH]c2c1; [None]; [None]; [0]
+COc1cc(-c2nc3ccccc3s2)ccc1O; ['Brc1nc2ccccc2s1', 'COc1cc(C(=O)O)ccc1O', 'COc1cc(C=O)ccc1O', 'COc1cc(C#N)ccc1O', 'COc1cc(C(F)(F)F)ccc1O', 'COc1cc(CC(=O)O)ccc1O', 'Brc1nc2ccccc2s1', 'COc1cc(I)ccc1O', 'COc1cc(C=O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(C=O)ccc1O', 'C=Cc1ccc(O)c(OC)c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Nc1ccccc1S', 'Nc1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1Cl', 'COc1cc(B(O)O)ccc1O', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1SSc1ccccc1N', 'c1ccc2scnc2c1']; [0.99997878074646, 0.9998933672904968, 0.99988853931427, 0.9997687339782715, 0.9997396469116211, 0.9996434450149536, 0.9994242191314697, 0.9989035725593567, 0.9988435506820679, 0.9976121783256531, 0.9973642826080322, 0.9793115854263306]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1nc2ccccc2s1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3nc4ccccc4s3)nc2c1F; [None]; [None]; [0]
+c1cc2c(c(-c3nc4ccccc4s3)c1)OCO2; ['Brc1nc2ccccc2s1', 'NCc1cccc2c1OCO2', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'NCc1cccc2c1OCO2', 'Nc1ccccc1I', 'Brc1nc2ccccc2s1', 'Brc1cccc2c1OCO2', 'Nc1ccccc1S', 'NCc1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Brc1cccc2c1OCO2', 'Clc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'Nc1ccccc1SSc1ccccc1N', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'O=C(O)c1cccc2c1OCO2', 'CC(=O)c1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2', 'c1ccc2c(c1)OCO2', 'NCc1cccc2c1OCO2', 'O=C(O)C(=O)c1cccc2c1OCO2']; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'O=[N+]([O-])c1ccccc1Cl', 'Clc1nc2ccccc2s1', 'Nc1ccccc1I', 'O=Cc1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'c1ccc2scnc2c1', 'OCc1cccc2c1OCO2', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'O=C(O)c1cccc2c1OCO2', 'O=C(Cl)c1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'OB(O)c1cccc2c1OCO2', 'c1ccc2c(c1)OCO2', 'O=Cc1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999819397926331, 0.9999332427978516, 0.9999207258224487, 0.9998317360877991, 0.9997869729995728, 0.9997686743736267, 0.9996234178543091, 0.9995880126953125, 0.9995124340057373, 0.9994694590568542, 0.9991902709007263, 0.9991510510444641, 0.9987876415252686, 0.99817955493927, 0.9975386261940002, 0.9962758421897888, 0.9954975247383118, 0.994176983833313, 0.9941060543060303, 0.9898508787155151, 0.988471269607544, 0.9875373840332031, 0.9451791048049927, 0.9061011075973511]
+Nc1nc(-c2nc3ccccc3s2)cs1; ['NC(N)=S']; ['O=C(CBr)c1nc2ccccc2s1']; [0.9999774694442749]
+CC(C)(C)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(CC(=O)O)cc1', 'Brc1nc2ccccc2s1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(CN)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(/C(Cl)=C/C=O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(CO)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(C#N)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(CN)cc1', 'CC(C)(C)c1ccc(CN)cc1', 'CC(C)(C)c1ccc(C(F)(F)F)cc1', 'CC(=O)c1ccc(C(C)(C)C)cc1', 'C=Cc1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(CC(=O)O)cc1', 'CC(C)(C)c1ccc(CO)cc1', 'CC(C)(C)c1ccc(CCl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C(=O)C(=O)O)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(CN)cc1', 'CC(C)(C)c1ccc(C(=O)CC#N)cc1', 'CC(C)(C)c1ccc(S(=O)(=O)NN)cc1', 'CC(C)(C)c1ccccc1', 'Brc1nc2ccccc2s1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'O=[N+]([O-])c1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'CC(C)(C)c1ccc(B(O)O)cc1', 'c1ccc2scnc2c1', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Clc1nc2ccccc2s1', 'c1ccc2scnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N', 'Nc1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'CC(C)(C)c1ccccc1']; [0.9999986886978149, 0.9999819993972778, 0.9999790191650391, 0.9999480843544006, 0.9999139904975891, 0.9999046325683594, 0.9999018311500549, 0.9998972415924072, 0.9998732209205627, 0.9998424053192139, 0.9997837543487549, 0.9996588230133057, 0.9996049404144287, 0.9995788335800171, 0.99957674741745, 0.9995191097259521, 0.9994469881057739, 0.9994133710861206, 0.9990107417106628, 0.9985535144805908, 0.9980028867721558, 0.9967421293258667, 0.9942941665649414, 0.9908772706985474, 0.9906381368637085, 0.990181028842926, 0.9882161617279053, 0.9872784614562988, 0.9859075546264648, 0.9815693497657776, 0.9512730836868286, 0.9426968693733215, 0.888791024684906, 0.8095596432685852]
+CN(C)C(=O)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'CNC', 'CN(C)C(=O)c1ccc(C=O)cc1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'O=C(Cl)c1ccc(-c2nc3ccccc3s2)cc1', 'Nc1ccccc1S']; [0.9999973773956299, 0.9999537467956543, 0.9998205304145813, 0.9991222620010376]
+CC(C)(C)c1ccc(-c2nc3ccccc3s2)cn1; ['Brc1nc2ccccc2s1', 'CC(C)(C)c1ccc(C=O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(C#N)cn1', 'Brc1nc2ccccc2s1', 'CC(C)(C)c1ccc(C(=O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Brc1nc2ccccc2s1', 'CC(C)(C)c1ccc(C=O)cn1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Nc1ccccc1S', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Clc1nc2ccccc2s1', 'CC(C)(C)c1ccc(Br)cn1', 'c1ccc2scnc2c1']; [0.9999960660934448, 0.9998196959495544, 0.9998006820678711, 0.9997954368591309, 0.9997495412826538, 0.9995901584625244, 0.999569296836853, 0.9992684125900269, 0.9888812899589539, 0.9714166522026062]
+CC1(COc2nc3ccccc3s2)COC1; ['CC1(CO)COC1', 'Brc1nc2ccccc2s1', 'CC1(CI)COC1', 'Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1', 'CC1(CBr)COC1', 'CC1(CCl)COC1', 'CC1(CO)COC1']; ['Clc1nc2ccccc2s1', 'CC1(CO)COC1', 'Oc1nc2ccccc2s1', 'Oc1nc2ccccc2s1', 'Oc1nc2ccccc2s1', 'Oc1nc2ccccc2s1', 'Oc1nc2ccccc2s1']; [0.9975236654281616, 0.9964348077774048, 0.9957737922668457, 0.9951010942459106, 0.9926701784133911, 0.9925308227539062, 0.9859437346458435]
+COc1cccc(C(=O)Nc2nc3ccccc3s2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COc1cccc(C(=O)Oc2ccccc2)c1', 'COc1cccc(C=O)c1']; ['Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; [0.9999836683273315, 0.9999721050262451, 0.9999473690986633, 0.9959521293640137]
+c1ccc2sc(-c3scc4c3OCCO4)nc2c1; ['Nc1ccccc1S', 'c1ccc2scnc2c1']; ['O=Cc1scc2c1OCCO2', 'c1scc2c1OCCO2']; [0.999994695186615, 0.9999904632568359]
+Clc1cccc(-n2ccc(-c3nc4ccccc4s3)n2)c1; ['OB(O)c1cccc(Cl)c1', 'Clc1cccc(I)c1', 'Clc1cccc(Br)c1', 'Fc1cccc(Cl)c1', 'Clc1cccc(Cl)c1']; ['c1ccc2sc(-c3cc[nH]n3)nc2c1', 'c1ccc2sc(-c3cc[nH]n3)nc2c1', 'c1ccc2sc(-c3cc[nH]n3)nc2c1', 'c1ccc2sc(-c3cc[nH]n3)nc2c1', 'c1ccc2sc(-c3cc[nH]n3)nc2c1']; [0.9999896287918091, 0.9999895095825195, 0.9999830722808838, 0.9986321330070496, 0.9985837936401367]
+CC(=O)N[C@@H]1CC[C@@H](c2nc3ccccc3s2)CC1; [None]; [None]; [0]
+c1ccc2ncc(-c3nc4ccccc4s3)cc2c1; [None]; [None]; [0]
+CSc1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'CSc1ccc(C(=O)O)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(C=O)cc1', 'CSc1ccc(C=O)cc1', 'CSc1ccc(CO)cc1', 'CSc1ccc(CC(=O)O)cc1', 'CSc1ccc(C(=O)Cl)cc1', 'CSc1ccc(C=O)cc1', 'CSc1ccc(C#N)cc1', 'CSc1ccc(CN)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(C(F)(F)F)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(CN)cc1', 'C[S-]', 'CSc1ccc(C=O)cc1', 'CSc1ccc(C(C)=O)cc1', 'CSc1ccc(CN)cc1', 'CSc1ccc(I)cc1', 'Brc1nc2ccccc2s1', 'CSc1ccc(CCl)cc1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CSc1ccc(CC(=O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(CO)cc1', 'CSc1ccc(C(=O)O)cc1', 'CSc1ccc(C=O)cc1', 'CSc1ccc(CN)cc1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Nc1ccccc1S', 'Clc1nc2ccccc2s1', 'O=[N+]([O-])c1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1S', 'Nc1ccccc1I', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1Cl', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'Clc1ccc(-c2nc3ccccc3s2)cc1', 'Nc1ccccc1SSc1ccccc1N', 'Nc1ccccc1S', 'Nc1ccccc1I', 'c1ccc2scnc2c1', 'CSc1ccc(B(O)O)cc1', 'Nc1ccccc1S', 'CSc1ccc(I)cc1', 'c1ccc2scnc2c1', 'Clc1nc2ccccc2s1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.999991238117218, 0.9999877214431763, 0.999986469745636, 0.999980628490448, 0.9999507069587708, 0.9999473094940186, 0.999941349029541, 0.999931275844574, 0.9998987317085266, 0.9998890161514282, 0.99988853931427, 0.9997383952140808, 0.9997288584709167, 0.9997050762176514, 0.9996746778488159, 0.9996209144592285, 0.9995783567428589, 0.9995660781860352, 0.9992883205413818, 0.9991745948791504, 0.9988541603088379, 0.998323917388916, 0.9975004196166992, 0.9972336292266846, 0.9970417618751526, 0.9966846704483032, 0.9952712059020996, 0.9885253310203552, 0.9839416742324829]
+CCN1CCN(Cc2ccc(-c3nc4ccccc4s3)cc2)CC1; ['CCN1CCN(Cc2ccc(C=O)cc2)CC1', 'CCN1CCNCC1', None]; ['Nc1ccccc1S', 'Cc1ccc(-c2nc3ccccc3s2)cc1', None]; [0.9991743564605713, 0.976994514465332, 0]
+Cc1cc(-c2nc3ccccc3s2)nc(N)n1; [None]; [None]; [0]
+c1ccc2sc(-c3nc4ccccc4s3)cc2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc3ccccc3s2)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3nc4ccccc4s3)ccc2N1; [None]; [None]; [0]
+COc1ccc(CNc2nc3ccccc3s2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN=C=S)cc1', 'Brc1nc2ccccc2s1', 'COc1ccc(CO)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(C=O)cc1']; ['Clc1nc2ccccc2s1', 'CS(=O)(=O)c1nc2ccccc2s1', 'Nc1ccccc1I', 'COc1ccc(CN)cc1', 'Nc1nc2ccccc2s1', 'Fc1nc2ccccc2s1', 'CSc1nc2ccccc2s1', 'Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; [0.9995967149734497, 0.9995549321174622, 0.998833179473877, 0.9986596703529358, 0.997363269329071, 0.9951423406600952, 0.992951512336731, 0.951117992401123, 0.8718792796134949]
+Brc1cnc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nc3ccccc3s2)cc1; ['C[C@H]1CCCN1']; ['O=C(Cl)c1ccc(-c2nc3ccccc3s2)cc1']; [0.9999997615814209]
+COc1ccc(-c2nc3ccccc3s2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'CCc1ccc(C=O)cc1', 'CCc1ccc(CC(=O)O)cc1', 'CCc1ccc(C=O)cc1', 'CCc1ccc(CN)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(CO)cc1', 'CCc1ccc(C(=O)O)cc1', 'CCc1ccc(CN)cc1', 'Brc1nc2ccccc2s1', 'CCc1ccc(C=O)cc1', 'CCc1ccc(C=O)cc1', 'CCc1ccc(C(C)=O)cc1', 'CCc1ccc(C#N)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(C(F)(F)F)cc1', 'CCc1ccc(CN)cc1', 'CCc1ccc(C(=O)Cl)cc1', 'CCc1ccc(CCl)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(CO)cc1', 'CCc1ccc(C(=O)O)cc1', 'CCc1ccc(C=O)cc1', 'CCc1ccc(CC(=O)O)cc1', 'CCc1ccc(C(=O)CC#N)cc1', 'CCc1ccc(C(=O)C(=O)O)cc1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CCc1ccc(CN)cc1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'O=[N+]([O-])c1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1I', 'CCc1ccc(B(O)O)cc1', 'Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Clc1nc2ccccc2s1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'CCc1ccc(I)cc1', 'c1ccc2scnc2c1']; [0.9999884366989136, 0.9999487400054932, 0.9998269081115723, 0.999721884727478, 0.9996670484542847, 0.9994719624519348, 0.9994096755981445, 0.9992810487747192, 0.9991334676742554, 0.9990155696868896, 0.9987442493438721, 0.9986811876296997, 0.9983479976654053, 0.9982638359069824, 0.9980218410491943, 0.9979185461997986, 0.9970723986625671, 0.9960073828697205, 0.9954485893249512, 0.9908691644668579, 0.9902931451797485, 0.9888025522232056, 0.9806396961212158, 0.9792399406433105, 0.974788248538971, 0.9715248346328735, 0.9652755260467529, 0.9614499807357788, 0.9544872641563416]
 O=C(C1CC1)N1CC(Nc2nc3ccccc3s2)C1; [None]; [None]; [0]
-Nc1cc(-c2nc3ccccc3s2)c2cc[nH]c2n1; [None]; [None]; [0]
+Clc1ccc(-c2nc3ccccc3s2)c(Cl)c1; ['O=Cc1ccc(Cl)cc1Cl', 'Nc1ccccc1I', 'Brc1nc2ccccc2s1', 'Nc1ccccc1S', 'NCc1ccc(Cl)cc1Cl', 'Nc1ccccc1S', 'Brc1nc2ccccc2s1', 'NCc1ccc(Cl)cc1Cl', 'NCc1ccc(Cl)cc1Cl', 'O=C(O)Cc1ccc(Cl)cc1Cl', 'Clc1ccc(I)c(Cl)c1', 'Nc1ccccc1SSc1ccccc1N', 'Clc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ccccc1S', 'ClCc1ccc(Cl)cc1Cl', 'N#Cc1ccc(Cl)cc1Cl', 'CC(=O)c1ccc(Cl)cc1Cl', 'Clc1nc2ccccc2s1', 'Nc1ccccc1S', 'Clc1cccc(Cl)c1', 'O=C(O)c1ccc(Cl)cc1Cl', 'OCc1ccc(Cl)cc1Cl', 'Clc1ccc(-c2nc3ccccc3s2)cc1', 'O=C(O)Cc1ccc(Cl)cc1Cl', 'NCc1ccc(Cl)cc1Cl', 'O=Cc1ccc(Cl)cc1Cl', None]; ['O=[N+]([O-])c1ccccc1I', 'O=Cc1ccc(Cl)cc1Cl', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'O=C(O)c1ccc(Cl)cc1Cl', 'O=[N+]([O-])c1ccccc1Cl', 'OCc1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ccccc1S', 'Nc1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'c1ccc2scnc2c1', 'O=Cc1ccc(Cl)cc1Cl', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'O=C(Cl)c1ccc(Cl)cc1Cl', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'OB(O)c1ccc(Cl)cc1Cl', 'O=Cc1ccc(Cl)cc1Cl', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'O=C1CCC(=O)N1Cl', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', None]; [0.9999997615814209, 0.9999969005584717, 0.9999948740005493, 0.9999924898147583, 0.9999902248382568, 0.999984622001648, 0.9999834299087524, 0.9999820590019226, 0.9999819993972778, 0.9999618530273438, 0.9999557733535767, 0.9999525547027588, 0.9999226927757263, 0.9999026656150818, 0.9998428821563721, 0.9998142719268799, 0.9996549487113953, 0.9995942115783691, 0.9995167255401611, 0.9995068311691284, 0.9986768960952759, 0.9966635704040527, 0.9899756908416748, 0.9896754622459412, 0.9881448745727539, 0.9877479672431946, 0.9854185581207275, 0]
+c1ccc2sc(-c3cc4ccccn4n3)nc2c1; ['Nc1ccccc1S', 'Brc1cc2ccccn2n1']; ['O=C(O)c1cc2ccccn2n1', 'c1ccc2scnc2c1']; [0.9952596426010132, 0.9720534086227417]
+Cn1cc(-c2nc3ccccc3s2)c(C(F)(F)F)n1; ['Cn1cc(C=O)c(C(F)(F)F)n1', 'Cn1cc(C(=O)Cl)c(C(F)(F)F)n1', 'Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; ['Nc1ccccc1S', 'Nc1ccccc1S', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999995231628418, 0.999992847442627, 0.999992311000824, 0.999957799911499, 0.9999104142189026, 0.9997506141662598]
+COc1cc(-c2nc3ccccc3s2)ccc1N1CCOCC1; ['Brc1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'COc1cc(Br)ccc1N1CCOCC1', 'Brc1nc2ccccc2s1']; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'c1ccc2scnc2c1', 'COc1ccccc1N1CCOCC1']; [0.9999957084655762, 0.9998555183410645, 0.9997747540473938, 0.9952380657196045]
+COc1ccc2cccc(-c3nc4ccccc4s3)c2c1; ['COc1ccc2cccc(C=O)c2c1', 'COc1ccc2cccc(C=O)c2c1', 'COc1ccc2cccc(CC(=O)O)c2c1', 'COc1ccc2cccc(C=O)c2c1', 'COc1ccc2cccc(C#N)c2c1', 'COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(C=O)c2c1', 'COc1ccc2cccc(CC(=O)O)c2c1', 'COc1ccc2cccc(C=O)c2c1']; ['O=[N+]([O-])c1ccccc1I', 'Nc1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1SSc1ccccc1N', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999889135360718, 0.999961256980896, 0.9999492764472961, 0.9986879825592041, 0.9980425238609314, 0.997231662273407, 0.9971276521682739, 0.992895245552063, 0.9079290628433228]
+CC1(C)Cc2cc(-c3nc4ccccc4s3)ccc2O1; ['CC1(C)Cc2cc(C=O)ccc2O1']; ['Nc1ccccc1S']; [0.9999822974205017]
+c1ccc2sc(-c3ncc4cccn4n3)nc2c1; [None]; [None]; [0]
+Cc1nc(Nc2nc3ccccc3s2)sc1C; ['Cc1nc(N)sc1C', 'Cc1nc(Cl)sc1C']; ['Clc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; [0.9987407326698303, 0.9960970282554626]
+COc1cc(-c2nc3ccccc3s2)ccc1Cl; ['COc1cc(C=O)ccc1Cl', 'COc1cc(C=O)ccc1Cl', 'Brc1nc2ccccc2s1', 'COc1cc(C(=O)O)ccc1Cl', 'COc1cc(CN)ccc1Cl', 'COc1cc(C#N)ccc1Cl', 'COc1cc(CO)ccc1Cl', 'COc1cc(CN)ccc1Cl', 'COc1cc(C=O)ccc1Cl', 'COc1cc(C(C)=O)ccc1Cl', 'COc1cc(C(F)(F)F)ccc1Cl', 'COc1cc(CN)ccc1Cl', 'Brc1nc2ccccc2s1', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'Brc1nc2ccccc2s1', 'COc1cc(C=O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(CO)ccc1Cl', 'COc1cc(C=O)ccc1Cl', 'COc1ccccc1Cl', 'COc1cc(CN)ccc1Cl', 'Brc1nc2ccccc2s1']; ['O=[N+]([O-])c1ccccc1I', 'Nc1ccccc1I', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'Nc1ccccc1S', 'Nc1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1Cl', 'COc1cc(I)ccc1Cl', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'COc1cc(B(O)O)ccc1Cl', 'Nc1ccccc1SSc1ccccc1N', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'COc1ccccc1Cl']; [0.9999985098838806, 0.9999979734420776, 0.9999970197677612, 0.9999903440475464, 0.9999872446060181, 0.9999796748161316, 0.9999792575836182, 0.9999774694442749, 0.9999749660491943, 0.9999663829803467, 0.9999524354934692, 0.9999486804008484, 0.9999359846115112, 0.9999232292175293, 0.9998264312744141, 0.9997813105583191, 0.9997544288635254, 0.9997491836547852, 0.9902133941650391, 0.9849337339401245, 0.947746753692627, 0.8997802734375, 0.8428727388381958]
+Oc1ccc2cccc(-c3nc4ccccc4s3)c2c1; [None]; [None]; [0]
+Cc1cc(Nc2nc3ccccc3s2)nn1C; ['Cc1cc(Cl)nn1C', 'Cc1cc(N)nn1C']; ['Nc1nc2ccccc2s1', 'Clc1nc2ccccc2s1']; [0.9997948408126831, 0.9996472597122192]
+OCCn1cc(-c2nc3ccccc3s2)cn1; [None]; [None]; [0]
+COc1cc(F)c(-c2nc3ccccc3s2)cc1OC; ['Brc1nc2ccccc2s1', 'COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C(=O)O)cc1OC', 'Brc1nc2ccccc2s1', 'COc1cc(F)c(C#N)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C=O)cc1OC', 'COc1ccc(F)cc1OC', 'Brc1nc2ccccc2s1']; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'Nc1ccccc1I', 'O=[N+]([O-])c1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'COc1cc(F)c(B(O)O)cc1OC', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1SSc1ccccc1N', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'COc1ccc(F)cc1OC']; [0.9999904632568359, 0.9999856948852539, 0.9999853372573853, 0.9999648332595825, 0.9998949766159058, 0.9998569488525391, 0.999725341796875, 0.9996823072433472, 0.9996386766433716, 0.9891109466552734, 0.9871396422386169, 0.9761006832122803]
+CNC(=O)c1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'CN', None, 'CNC(=O)c1ccc(C=O)cc1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'O=C(Cl)c1ccc(-c2nc3ccccc3s2)cc1', None, 'Nc1ccccc1S']; [0.999993085861206, 0.9999100565910339, 0.9998629093170166, 0, 0.9831891059875488]
+Clc1cnc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
+Nc1cc(-c2nc3ccccc3s2)c2cc[nH]c2n1; ['Nc1cc(Br)c2cc[nH]c2n1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['c1ccc2scnc2c1', 'Nc1cc(Br)c2cc[nH]c2n1']; [0.997589111328125, 0.9903210401535034]
+O=C(Nc1nc2ccccc2s1)c1ccco1; ['Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1']; [0.9994553327560425, 0.9990875720977783]
+Cc1csc2c(-c3nc4ccccc4s3)ncnc12; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nc3ccccc3s2)cc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2nc3ccccc3s2)CC1; ['CO[C@H]1CC[C@H](C(=O)O)CC1']; ['Nc1ccccc1S']; [0.9990032315254211]
+CCNC(=O)c1ccc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2nc3ccccc3s2)cc1; ['Nc1ccccc1S']; ['O=C(O)Cc1ccc(S(=O)(=O)CCO)cc1']; [0.9980460405349731]
+CCNC(=O)N1CCC(c2nc3ccccc3s2)CC1; [None, 'CCN', None, 'CCN=C=O', None, 'CCNC(=O)Oc1ccc([N+](=O)[O-])cc1', 'CCNC(=O)Oc1ccccc1']; [None, 'c1ccc2sc(C3CCNCC3)nc2c1', None, 'c1ccc2sc(C3CCNCC3)nc2c1', None, 'c1ccc2sc(C3CCNCC3)nc2c1', 'c1ccc2sc(C3CCNCC3)nc2c1']; [0, 0.9999179840087891, 0, 0.999768853187561, 0, 0.9986915588378906, 0.9976624250411987]
+COc1cc(-c2nc3ccccc3s2)c(OC)cc1Br; ['COc1cc(C(=O)O)c(OC)cc1Br', 'COc1cc(CO)c(OC)cc1Br', 'COc1cc(C=O)c(OC)cc1Br', 'Brc1nc2ccccc2s1', 'COc1cc(Br)c(OC)cc1Br', 'COc1ccc(OC)c(Br)c1', 'COc1cc(C=O)c(OC)cc1Br', 'Brc1nc2ccccc2s1']; ['Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'COc1cc(B(O)O)c(OC)cc1Br', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'COc1ccc(OC)c(Br)c1']; [0.9999853372573853, 0.9999829530715942, 0.999931812286377, 0.999031662940979, 0.9977561235427856, 0.9938717484474182, 0.9921736717224121, 0.9832234382629395]
+O=C(Nc1cn[nH]c1)c1cccc(-c2nc3ccccc3s2)c1; ['Nc1cn[nH]c1']; ['O=C(Cl)c1cccc(-c2nc3ccccc3s2)c1']; [0.9999997615814209]
 COc1cc(CS(C)(=O)=O)ccc1-c1nc2ccccc2s1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1nc3ccccc3s1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2nc3ccccc3s2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3nc4ccccc4s3)[nH]c2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2nc3ccccc3s2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; [0.9999817609786987, 0.9999591112136841, 0.9989758729934692]
+COc1ccc2c(c1)c(-c1nc3ccccc3s1)cn2C; ['COc1ccc2c(c1)c(C=O)cn2C', 'COc1ccc2c(c1)c(C(=O)O)cn2C']; ['Nc1ccccc1S', 'Nc1ccccc1S']; [0.999993085861206, 0.9999648332595825]
+c1ccc2sc(-c3ccc4cn[nH]c4c3)nc2c1; ['Brc1nc2ccccc2s1', 'Nc1ccccc1S', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Brc1nc2ccccc2s1', 'Brc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Ic1ccc2cn[nH]c2c1', None]; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'O=Cc1ccc2cn[nH]c2c1', 'Clc1nc2ccccc2s1', 'OB(O)c1ccc2cn[nH]c2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'c1ccc2scnc2c1', 'Ic1ccc2cn[nH]c2c1', 'c1ccc2scnc2c1', None]; [0.9999988079071045, 0.9999979138374329, 0.9999954700469971, 0.9999780058860779, 0.999970555305481, 0.999947190284729, 0.9999402761459351, 0.9999008774757385, 0]
+CCn1cc(-c2nc3ccccc3s2)cn1; ['CCn1cc(C(=O)O)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1']; ['Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999475479125977, 0.9992988705635071, 0.9963804483413696]
+COc1ccc2oc(-c3nc4ccccc4s3)cc2c1; ['COc1ccc2oc(C=O)cc2c1']; ['Nc1ccccc1S']; [0.9999704360961914]
+COc1cc(OC)cc(-c2nc3ccccc3s2)c1; ['Brc1nc2ccccc2s1', 'COc1cc(OC)cc(C(=O)O)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(CC(=O)O)cc(OC)c1', 'Brc1nc2ccccc2s1', 'COc1cc(C#N)cc(OC)c1', 'COc1cc(CN)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1', 'Brc1nc2ccccc2s1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'COc1cc(CN)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(C(C)=O)c1', 'COc1cc(OC)cc(C(=O)Cl)c1', 'COc1cc(CN)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(OC)cc(C(=O)O)c1', 'COc1cc(CO)cc(OC)c1', 'COc1cc(OC)cc(C(=O)CC#N)c1', 'COc1cc(CCl)cc(OC)c1', 'COc1cc(OC)cc(C(=O)C(=O)O)c1', 'COc1cc(CC(=O)O)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(CN)cc(OC)c1', 'Brc1nc2ccccc2s1', 'COc1cccc(OC)c1', 'COc1cc(CO)cc(OC)c1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'COc1cc(I)cc(OC)c1', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1I', 'COc1cc(OC)cc(B(O)O)c1', 'c1ccc2scnc2c1', 'Clc1nc2ccccc2s1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'COc1cc(I)cc(OC)c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1I', 'Nc1ccccc1SSc1ccccc1N', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'COc1cccc(OC)c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999905824661255, 0.9999785423278809, 0.9999659061431885, 0.9999599456787109, 0.9999390840530396, 0.9999223351478577, 0.9998576641082764, 0.9998359680175781, 0.9998353719711304, 0.9998083114624023, 0.9996088147163391, 0.9994641542434692, 0.9993767142295837, 0.999315619468689, 0.9992204904556274, 0.9991317987442017, 0.9989464282989502, 0.9989378452301025, 0.9985014200210571, 0.998045802116394, 0.9973684549331665, 0.9971680045127869, 0.9958311319351196, 0.9941010475158691, 0.9937766790390015, 0.9864407777786255, 0.9631465673446655, 0.9503532648086548, 0.9430730938911438, 0.9362087845802307, 0.9023904800415039]
+c1ccc2oc(-c3nc4ccccc4s3)cc2c1; ['Nc1ccccc1S', 'Nc1ccccc1S']; ['O=C(Cl)c1cc2ccccc2o1', 'O=Cc1cc2ccccc2o1']; [0.9999301433563232, 0.9994481205940247]
+O=C(Nc1cccc(-c2nc3ccccc3s2)c1)N1CCCC1; [None, 'Nc1cccc(-c2nc3ccccc3s2)c1']; [None, 'O=C(Cl)N1CCCC1']; [0, 0.9998998641967773]
+C[NH+](C)Cc1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1nc2ccccc2s1; ['Brc1nc2ccccc2s1', 'CC(C)c1nn(C)cc1C=O', 'CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br']; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999805092811584, 0.9999459981918335, 0.9994596242904663, 0.9986956715583801]
+Cn1cc(Br)cc1-c1nc2ccccc2s1; ['Cn1cc(Br)cc1C(=O)O']; ['Nc1ccccc1S']; [0.9999948143959045]
+CNC(=O)c1ccc(OC)c(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2nc3ccccc3s2)c1; ['COc1ccc(F)c(C(=O)O)c1', 'COc1ccc(F)c(C=O)c1']; ['Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; [0.9996938705444336, 0.9964179992675781]
+c1cncc(-c2ccnc(-c3nc4ccccc4s3)c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'O=Cc1ccc(OC(F)(F)F)cc1', 'Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'Nc1ccccc1I', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Nc1ccccc1S', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Clc1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Nc1ccccc1S', 'FC(F)(F)Oc1ccc(Br)cc1', 'N#Cc1ccc(OC(F)(F)F)cc1', 'NCc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'Nc1ccccc1SSc1ccccc1N', 'Nc1ccccc1S', 'NCc1ccc(OC(F)(F)F)cc1', 'O=C(O)Cc1ccc(OC(F)(F)F)cc1', 'CC(=O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccccc1S', 'NCc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(CCl)cc1', 'OCc1ccc(OC(F)(F)F)cc1', 'NCc1ccc(OC(F)(F)F)cc1', 'O=C(O)c1ccc(OC(F)(F)F)cc1', 'O=C(O)Cc1ccc(OC(F)(F)F)cc1', 'N#CCC(=O)c1ccc(OC(F)(F)F)cc1', 'Brc1nc2ccccc2s1', 'O=Cc1ccc(OC(F)(F)F)cc1']; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Clc1nc2ccccc2s1', 'O=[N+]([O-])c1ccccc1I', 'FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'O=C(Cl)c1ccc(OC(F)(F)F)cc1', 'c1ccc2scnc2c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'O=C(O)c1ccc(OC(F)(F)F)cc1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1Cl', 'c1ccc2scnc2c1', 'O=Cc1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1', 'Nc1ccccc1I', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1S', 'OCc1ccc(OC(F)(F)F)cc1', 'Nc1ccccc1S', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'FC(F)(F)Oc1ccccc1', 'c1ccc2scnc2c1']; [0.9999998211860657, 0.9999995827674866, 0.9999977946281433, 0.999996542930603, 0.9999923706054688, 0.9999909400939941, 0.9999886751174927, 0.9999874830245972, 0.9999866485595703, 0.9999842643737793, 0.9999803900718689, 0.9999796152114868, 0.9999744892120361, 0.9999701976776123, 0.9999622106552124, 0.9999513626098633, 0.9999273419380188, 0.9999155402183533, 0.9998846054077148, 0.9998676776885986, 0.9997981786727905, 0.9997867345809937, 0.9995983242988586, 0.999302327632904, 0.9986996650695801, 0.9986735582351685, 0.9986724853515625, 0.997081995010376, 0.996457576751709, 0.9960672855377197, 0.9946540594100952]
+c1ccc2sc(-c3ncc4sccc4n3)nc2c1; [None]; [None]; [0]
+CCc1cccc(-c2nc3ccccc3s2)n1; ['CCc1cccc(C=O)n1', 'CCc1cccc(C)n1', 'CCc1cccc(C(=O)O)n1', 'CCc1cccc(Br)n1', 'CCc1cccc[n+]1[O-]', 'CCc1cccc(C)n1']; ['Nc1ccccc1S', 'Nc1ccccc1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9986926317214966, 0.9983593821525574, 0.9978461861610413, 0.9974032640457153, 0.9973968267440796, 0.9964128732681274]
+Cc1cc(-c2nc3ccccc3s2)cc(C)c1OCCO; ['Cc1cc(C=O)cc(C)c1OCCO']; ['Nc1ccccc1S']; [0.9912843704223633]
+Cn1cc(-c2nc3ccccc3s2)c2ccccc21; ['Cn1cc(C=O)c2ccccc21', 'Cn1cc(C(=O)O)c2ccccc21', 'Cn1cc(C(=O)Cl)c2ccccc21', 'Cn1cc(C#N)c2ccccc21']; ['Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S']; [0.9999945759773254, 0.9999823570251465, 0.9999074935913086, 0.9998880624771118]
+COc1ccc2nc(-c3nc4ccccc4s3)[nH]c2c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3nc4ccccc4s3)ccc21; ['Brc1nc2ccccc2s1', 'Clc1nc2ccccc2s1', 'Cn1ncc2cc(C=O)ccc21', 'Cn1ncc2cc(C#N)ccc21', 'Brc1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Cn1ncc2cc(I)ccc21', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(C(=O)O)ccc21']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(I)ccc21', 'c1ccc2scnc2c1', 'Cn1ncc2cc(Br)ccc21', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999970197677612, 0.9999945759773254, 0.9999944567680359, 0.9999916553497314, 0.9999890327453613, 0.999515950679779, 0.9994169473648071, 0.9993084073066711, 0.9982733726501465, 0.921242356300354]
 c1ccc2sc(-c3ncn4c3CCCC4)nc2c1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3nc4ccccc4s3)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3ccccc3s2)cn1; ['Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'CN(C)c1ccc(C(=O)O)cn1', None, 'CNC', 'CN(C)c1ccc(C=O)cn1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1', None, None, None]; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'Nc1ccccc1S', None, 'Clc1ccc(-c2nc3ccccc3s2)cn1', 'Nc1ccccc1S', 'CN(C)c1ccc(Br)cn1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', None, None, None]; [0.9999984502792358, 0.9999576210975647, 0.999915361404419, 0, 0.9998225569725037, 0.9996646642684937, 0.9996333718299866, 0.9995818138122559, 0.9987421035766602, 0, 0, 0]
+Cc1n[nH]c2cc(-c3nc4ccccc4s3)ccc12; ['Brc1nc2ccccc2s1', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Brc1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12']; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Clc1nc2ccccc2s1', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999989867210388, 0.9999958276748657, 0.9999438524246216, 0.9992144107818604, 0.9987462759017944, 0.9967277646064758]
+O=C(Nc1nc2ccccc2s1)c1cccc(OC(F)(F)F)c1; ['Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1', 'Nc1nc2ccccc2s1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'O=Cc1cccc(OC(F)(F)F)c1']; [0.9999991655349731, 0.9999969005584717, 0.9998165965080261]
 Cn1nc(Cl)c2cc(-c3nc4ccccc4s3)ccc21; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2nc3ccccc3s2)c1; ['Brc1nc2ccccc2s1', 'Brc1cccc(-c2nc3ccccc3s2)c1', 'Nc1cccc(-c2nc3ccccc3s2)c1']; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1', 'O=C(Cl)CCCCl']; [0.9999935626983643, 0.999785304069519, 0.9996112585067749]
 CC(=O)N1CCC(n2cc(-c3nc4ccccc4s3)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1nc2ccccc2s1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3nc4ccccc4s3)cc2)n1C; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3nc4ccccc4s3)cc2)n1C; ['Brc1ccc(-c2nc3ccccc3s2)cc1', 'Brc1ccc(-c2nc3ccccc3s2)cc1']; ['Cc1ncc(C(=O)O)n1C', 'Cc1nccn1C']; [0.9999450445175171, 0.9992282390594482]
+OCCc1ccc(-c2nc3ccccc3s2)cc1; ['Brc1nc2ccccc2s1', 'Nc1ccccc1S', 'Brc1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(I)cc1']; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'O=C(O)c1ccc(CCO)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Br)cc1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999955892562866, 0.9996629953384399, 0.9987829327583313, 0.9944261908531189, 0.9908736944198608, 0.9783928394317627]
+Cc1cc(N2CCOCC2)ccc1-c1nc2ccccc2s1; ['Cc1cc(N2CCOCC2)ccc1C=O']; ['Nc1ccccc1S']; [0.9999914169311523]
+CCNC(=O)c1ccc(-c2nc3ccccc3s2)cc1; ['CCN']; ['O=C(Cl)c1ccc(-c2nc3ccccc3s2)cc1']; [0.9995968341827393]
+CNC(=O)c1ccc(-c2nc3ccccc3s2)c(OC)c1; ['CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['CNC(=O)c1ccc(Br)c(OC)c1']; [0.999933123588562]
+CN(C)C(=O)c1ccc(-c2nc3ccccc3s2)c(Cl)c1; [None]; [None]; [0]
+Fc1ccc(Nc2nc3ccccc3s2)nc1; ['Fc1ccc(Br)nc1', 'Clc1nc2ccccc2s1', 'Fc1ccc(Cl)nc1', 'Brc1nc2ccccc2s1']; ['Nc1nc2ccccc2s1', 'Nc1ccc(F)cn1', 'Nc1nc2ccccc2s1', 'Nc1ccc(F)cn1']; [0.9999914169311523, 0.9999771118164062, 0.9999051094055176, 0.9993641376495361]
+COc1cc(S(C)(=O)=O)ccc1-c1nc2ccccc2s1; ['CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['COc1cc(S(C)(=O)=O)ccc1Br', 'c1ccc2scnc2c1']; [0.9995349645614624, 0.9979926347732544]
 COc1cc(-c2cnn(C)c2)ccc1-c1nc2ccccc2s1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1nc2ccccc2s1; [None]; [None]; [0]
+Cc1cc(Nc2nc3ccccc3s2)ncc1F; ['Cc1cc(Br)ncc1F', 'Cc1cc(N)ncc1F', 'Brc1nc2ccccc2s1', 'Cc1cc(Cl)ncc1F']; ['Nc1nc2ccccc2s1', 'Clc1nc2ccccc2s1', 'Cc1cc(N)ncc1F', 'Nc1nc2ccccc2s1']; [0.999523937702179, 0.9991886615753174, 0.9991236925125122, 0.9990893602371216]
+CCNC(=O)Cc1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc3ccccc3s2)nc1; ['CN(C)C(=O)c1ccc(Br)nc1', 'CN(C)C(=O)Cl']; ['c1ccc2scnc2c1', 'c1ccc(-c2nc3ccccc3s2)nc1']; [0.9994588494300842, 0.8719947338104248]
+c1ccc(Nc2nc3ccccc3s2)nc1; ['Brc1nc2ccccc2s1', 'Clc1ccccn1', 'Clc1nc2ccccc2s1', 'Brc1ccccn1', None]; ['Nc1ccccn1', 'Nc1nc2ccccc2s1', 'Nc1ccccn1', 'Nc1nc2ccccc2s1', None]; [0.9999483823776245, 0.9995208978652954, 0.9994014501571655, 0.998660147190094, 0]
+COc1cc(N2CCNCC2)ccc1-c1nc2ccccc2s1; [None]; [None]; [0]
 Cn1nc(-c2nc3ccccc3s2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2nc3ccccc3s2)ncc1F; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc2ccncc2c1; ['CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1B(O)O', 'Brc1ccc2ccncc2c1', 'CNC(=O)c1ccccc1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'CNC(=O)c1ccccc1B(O)O', 'OB(O)c1ccc2ccncc2c1']; [0.9999971389770508, 0.9999933242797852, 0.9999901056289673, 0.99991774559021, 0.9994719624519348]
+CS(=O)(=O)c1ccc(Cl)c(-c2nc3ccccc3s2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CS(=O)(=O)c1ccc(Cl)c(C(=O)O)c1']; ['c1ccc2scnc2c1', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'c1ccc2scnc2c1']; [0.9994096755981445, 0.9989670515060425, 0.9567488431930542]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc2ccncc2c1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Brc1ccc2cnccc2c1', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1cccc(Br)c1', 'Brc1ccc2ccncc2c1', 'Brc1cccc2ccncc12', 'Brc1ccc2ccncc2c1', 'CC(C)S(=O)(=O)c1ccccc1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'OB(O)c1ccc2ccncc2c1', 'c1ccc2cnccc2c1']; [0.9999936819076538, 0.999993085861206, 0.9999780654907227, 0.9999731779098511, 0.9999535083770752, 0.9999469518661499, 0.9996931552886963, 0.998380184173584, 0.9809993505477905, 0.8713136911392212]
+CCOc1ccccc1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'Brc1ccc2ccncc2c1', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Br', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Cl', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'CCOc1ccccc1Br', 'CCOc1ccccc1[Mg]Br', 'CCOc1ccccc1B(O)O']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'Ic1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'CCOc1ccccc1B(O)O', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'CCOc1ccccc1[Mg]Br', 'CCOc1ccccc1Cl', 'CCOc1ccccc1Br', 'Clc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'c1ccc2cnccc2c1']; [0.9999868869781494, 0.9999808073043823, 0.9999591112136841, 0.9998193979263306, 0.9997027516365051, 0.9996902942657471, 0.9996062517166138, 0.9988628625869751, 0.9979840517044067, 0.9963470697402954, 0.9934400320053101, 0.9838026762008667, 0.9784837961196899, 0.976948618888855, 0.8946855664253235]
+Cc1ccc(C(=O)NCCO)cc1-c1nc2ccccc2s1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
+COC(C)(C)CCc1ccc2ccncc2c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3ccncc3c2)[nH]1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ccc3ccncc3c2)c1; [None]; [None]; [0]
+CCn1cc(-c2ccc3ccncc3c2)cn1; ['Brc1ccc2ccncc2c1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(Br)cn1', 'CCn1cccn1', 'CCn1cc(B(O)O)cn1', 'Brc1ccc2ccncc2c1', 'CCn1cc(Cl)cn1', 'CCn1cc(B(O)O)cn1', 'Brc1ccc2ccncc2c1', 'CCn1cc(Br)cn1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'CCn1cc(B(O)O)cn1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'CCn1cc(I)cn1', 'Ic1ccc2ccncc2c1', 'CCn1cc(Br)cn1', 'CCn1cccn1']; [0.9999997019767761, 0.9999996423721313, 0.999995231628418, 0.9999949932098389, 0.9999743700027466, 0.9999655485153198, 0.9999643564224243, 0.9999237060546875, 0.9998512268066406, 0.9998379945755005, 0.9996088147163391, 0.9985951781272888, 0.9953067898750305, 0.9904885292053223]
+CP(C)(=O)c1ccccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
+c1ccc2c(-c3ccc4ccncc4c3)ccnc2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ccc2ccncc2c1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Brc1ccc2ccncc2c1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Cl', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'C[Sn](C)(C)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'C[Sn](C)(C)c1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccccc1[Mg]Br', 'OB(O)c1ccccc1OC(F)(F)F', 'Brc1ccc2ccncc2c1']; ['Ic1ccc2ccncc2c1', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccccc1OC(F)(F)F', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1[Mg]Br', 'FC(F)(F)Oc1ccccc1[Mg]Br', 'FC(F)(F)Oc1ccccc1Cl', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1[Zn]Br', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'c1ccc2cnccc2c1', 'FC(F)(F)Oc1ccccc1']; [0.9999908208847046, 0.9999860525131226, 0.9999847412109375, 0.9999724626541138, 0.9999589920043945, 0.9999258518218994, 0.9999104738235474, 0.999882698059082, 0.9996925592422485, 0.9996557235717773, 0.9994887113571167, 0.9986753463745117, 0.998585045337677, 0.9969332218170166, 0.996891975402832, 0.9963967204093933, 0.9951044917106628, 0.9949120879173279, 0.9928721189498901, 0.9921973943710327, 0.9880329966545105, 0.9367212057113647, 0.9168444275856018, 0.883739173412323, 0.8313749432563782]
+Cn1cnc2ccc(-c3ccc4ccncc4c3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9999960660934448, 0.9933782815933228]
+FC(F)(F)c1cccc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'FC(F)(F)c1cccc(Cl)c1', 'O=S(=O)(Oc1cccc(C(F)(F)F)c1)C(F)(F)F', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'FC(F)(F)c1cccc(Br)c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'FC(F)(F)c1cccc(I)c1', 'C[Sn](C)(C)c1ccc2ccncc2c1', 'FC(F)(F)c1ccccc1', 'Brc1ccc2ccncc2c1', 'FC(F)(F)c1cccc([Mg]Br)c1', 'COc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Clc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'CCCC[Sn](CCCC)(CCCC)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'Ic1ccc2ccncc2c1', 'FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc([Mg]Br)c1', 'FC(F)(F)c1cccc([Mg]Br)c1', 'FC(F)(F)c1cccc(Br)c1', 'Ic1ccc2ccncc2c1', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1ccc2ccncc2c1', 'FC(F)(F)c1cccc(Br)c1', 'Fc1ccc2ccncc2c1', 'FC(F)(F)c1cccc([Mg]Br)c1', 'Oc1cccc(C(F)(F)F)c1', 'c1ccc2cnccc2c1', 'Oc1ccc2ccncc2c1']; [0.9999990463256836, 0.9999942183494568, 0.9999938607215881, 0.9999932050704956, 0.9999849796295166, 0.9999809265136719, 0.9999784827232361, 0.9999725222587585, 0.9999542832374573, 0.9999332427978516, 0.9998775720596313, 0.9998564720153809, 0.9997749328613281, 0.999720573425293, 0.9994529485702515, 0.9991886019706726, 0.9988231658935547, 0.9952126741409302, 0.9916108846664429, 0.9899495840072632, 0.9890502691268921, 0.9869868159294128, 0.9160988926887512, 0.913989245891571, 0.8788538575172424, 0.7718091607093811]
+NC(=O)c1ccccc1-c1ccc2ccncc2c1; ['NC(=O)c1ccccc1I', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'NC(=O)c1ccccc1Br', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1Cl', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'NC(=O)c1ccccc1B(O)O', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'OB(O)c1ccc2ccncc2c1', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; [0.9999920129776001, 0.9999899864196777, 0.9999872446060181, 0.9999833703041077, 0.9999760985374451, 0.9999584555625916, 0.9998966455459595, 0.9998607039451599, 0.9997523427009583, 0.9997502565383911, 0.9996935129165649, 0.9819114804267883]
+c1ccc(Cn2cc(-c3ccc4ccncc4c3)cn2)cc1; ['Brc1ccc2ccncc2c1', 'Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Brc1cnn(Cc2ccccc2)c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Ic1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Ic1ccc2ccncc2c1', 'c1ccc(Cn2cccn2)cc1', 'Brc1cnn(Cc2ccccc2)c1', 'Ic1cnn(Cc2ccccc2)c1', 'c1ccc(Cn2cccn2)cc1']; [0.9999997615814209, 0.9999982118606567, 0.9999977350234985, 0.9999938011169434, 0.9999886751174927, 0.9999816417694092, 0.9999756813049316, 0.999968409538269, 0.9998629093170166, 0.9997470378875732, 0.9996380805969238, 0.999602735042572, 0.9984854459762573, 0.963982343673706]
+O=C([O-])c1ccccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccc3ccncc3c2)c1)c1ccccc1; ['Brc1ccc2ccncc2c1', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1']; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Ic1ccc2ccncc2c1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999995827674866, 0.9999986886978149, 0.9999730587005615, 0.9999376535415649]
+OCCn1cc(-c2ccc3ccncc3c2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Brc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1']; ['Ic1ccc2ccncc2c1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(I)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Cl)cn1']; [0.9999988079071045, 0.9999985694885254, 0.9999983310699463, 0.9999901056289673, 0.9999852180480957, 0.9999555349349976, 0.9999471306800842]
+c1ccc(-c2ncc(-c3ccc4ccncc4c3)[nH]2)cc1; ['OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1']; ['c1ccc(-c2ncc[nH]2)cc1', 'c1ccc(-c2ncc[nH]2)cc1']; [0.9999312162399292, 0.8140467405319214]
+CC(C)C(=O)COc1ccc2ccncc2c1; ['CC(C)C(=O)CBr', 'CC(C)C(=O)CCl']; ['Oc1ccc2ccncc2c1', 'Oc1ccc2ccncc2c1']; [0.981045663356781, 0.9710668325424194]
+CC(C)(C)c1nc(-c2ccc3ccncc3c2)cs1; ['Brc1ccc2ccncc2c1', 'CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1', 'CC(C)(C)c1nccs1', 'Brc1ccc2ccncc2c1']; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'CC(C)(C)c1nccs1']; [0.9999997615814209, 0.9999995827674866, 0.9998728036880493, 0.9973262548446655]
+Clc1ccc(Cl)c(-c2ccc3ccncc3c2)c1; ['Clc1ccc(Cl)c(Br)c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc(Cl)c(Br)c1', 'Brc1ccc2ccncc2c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(Cl)c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc(Cl)cc1', 'Clc1ccc2ccncc2c1', 'Clc1ccc(Cl)c([Mg]Br)c1', 'Clc1ccc(Cl)cc1', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(I)c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'c1ccc2cnccc2c1', 'c1ccc2cnccc2c1', 'Clc1ccc(Cl)cc1']; [0.9999972581863403, 0.9999929666519165, 0.9999921321868896, 0.9999810457229614, 0.9999798536300659, 0.9999736547470093, 0.9999596476554871, 0.9999352693557739, 0.9997895359992981, 0.9992104768753052, 0.999022901058197, 0.9964209794998169, 0.99588942527771, 0.9910743236541748, 0.940483570098877, 0.9120038747787476, 0.9036677479743958, 0.779503583908081]
+Cc1ccc(-c2ccc3ccncc3c2)c(Br)c1; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Cc1ccc(B(O)O)c(Br)c1']; [0.9999483823776245, 0.9997912049293518, 0.9991681575775146, 0.9959719181060791, 0.9950233101844788, 0.9819715619087219]
+c1ccn2c(-c3ccc4ccncc4c3)cnc2c1; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'OB(O)c1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.9999997615814209, 0.999998927116394, 0.9999979734420776, 0.9999934434890747, 0.9998840093612671, 0.9995934963226318, 0.999538779258728, 0.9900909662246704, 0.9729398488998413]
+c1cnn2c(-c3ccc4ccncc4c3)cnc2c1; ['Brc1cnc2cccnn12', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'c1cnn2ccnc2c1']; [1.0, 0.9999498128890991]
+COc1cnc(-c2ccc3ccncc3c2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'Brc1ccc2ccncc2c1', 'COc1cncnc1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'COc1cnc(Cl)nc1', 'Ic1ccc2ccncc2c1', 'COc1cncnc1']; [0.9999887943267822, 0.999887228012085, 0.9985061287879944, 0.966739296913147, 0.9454805254936218]
 O=c1c2c(F)cccc2cnn1-c1ccc2ccncc2c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccc2ccncc2c1; ['Cc1nc2ccccn2c1I', 'Cc1cn2ccccc2n1', 'Cc1nc2ccccn2c1Br', 'Brc1ccc2ccncc2c1', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Cc1cn2ccccc2n1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Cc1nc2ccccn2c1Br']; [0.9999997615814209, 0.9999997615814209, 0.9999977350234985, 0.9999918937683105, 0.9999903440475464, 0.9995758533477783, 0.9983429908752441]
+Cc1nc(C)c(-c2ccc3ccncc3c2)s1; ['Brc1ccc2ccncc2c1', 'Cc1nc(C)c(Br)s1', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Brc1ccc2ccncc2c1', 'Cc1csc(C)n1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Cc1csc(C)n1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1']; [0.9999961853027344, 0.9999936819076538, 0.9999809265136719, 0.9967571496963501, 0.9923257231712341, 0.8998883962631226]
+CNc1nc(C)c(-c2ccc3ccncc3c2)s1; ['CNc1nc(C)c(Br)s1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'CNc1nc(C)cs1']; [0.999975323677063, 0.9992906451225281]
+Cc1nc(N)sc1-c1ccc2ccncc2c1; ['Cc1nc(N)sc1I', 'Cc1nc(N)sc1Br', 'Brc1ccc2ccncc2c1', 'Cc1csc(N)n1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Cc1csc(N)n1', 'Ic1ccc2ccncc2c1']; [0.999992311000824, 0.9999922513961792, 0.9641004800796509, 0.8925281167030334]
+Cc1ccc(Cl)c(-c2ccc3ccncc3c2)c1; ['Cc1ccc(Cl)c(Br)c1', 'Brc1ccc2ccncc2c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1ccc2ccncc2c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2ccncc2c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)cc1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['OB(O)c1ccc2ccncc2c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Ic1ccc2ccncc2c1', 'Cc1ccc(Cl)c(I)c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'c1ccc2cnccc2c1']; [0.9999833106994629, 0.9999797344207764, 0.9999779462814331, 0.9999595880508423, 0.9999204874038696, 0.99991774559021, 0.9998443126678467, 0.9998064041137695, 0.9981020092964172, 0.9971715211868286, 0.8092855215072632, 0.7931987047195435]
+c1cncc(CNc2ccc3ccncc3c2)c1; ['NCc1cccnc1', 'ClCc1cccnc1', 'BrCc1cccnc1', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'NCc1cccnc1', 'Nc1ccc2ccncc2c1', 'NCc1cccnc1', 'CN(C)Cc1cccnc1', 'O=Cc1cccnc1', 'O=[N+]([O-])c1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'OCc1cccnc1', 'NCc1cccnc1', 'O=Cc1ccc2ccncc2c1', 'O=Cc1cccnc1', 'Oc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'O=[N+]([O-])c1ccc2ccncc2c1', 'OCc1cccnc1']; [0.9999537467956543, 0.9997380971908569, 0.9992030262947083, 0.9991104602813721, 0.9990190267562866, 0.997657299041748, 0.9961142539978027, 0.9928854703903198, 0.9842245578765869, 0.9803929924964905, 0.9769626259803772, 0.9404233694076538, 0.85389643907547, 0.8028004169464111]
+c1cc(Cn2cncn2)cc(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
 Cc1c(-c2ccc3ccncc3c2)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(-c3ccc4ccncc4c3)c2c1; [None]; [None]; [0]
+c1cncc(Nc2ccc3ccncc3c2)c1; ['Nc1cccnc1', 'Brc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Clc1cccnc1', 'Ic1ccc2ccncc2c1', 'Fc1cccnc1', 'Fc1ccc2ccncc2c1', 'Brc1cccnc1', 'Ic1cccnc1']; ['OB(O)c1ccc2ccncc2c1', 'Nc1cccnc1', 'OB(O)c1cccnc1', 'Nc1cccnc1', 'O=S(=O)(Oc1cccnc1)C(F)(F)F', 'Nc1ccc2ccncc2c1', 'Nc1cccnc1', 'Nc1ccc2ccncc2c1', 'Nc1cccnc1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1']; [0.9999672174453735, 0.9986217021942139, 0.9974923133850098, 0.996069073677063, 0.9953592419624329, 0.9951184391975403, 0.994210958480835, 0.9936709403991699, 0.991865873336792, 0.9915133118629456, 0.9837467670440674]
+Clc1cccc(Cl)c1-c1ccc2ccncc2c1; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1I', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'C[Sn](C)(C)c1ccc2ccncc2c1', 'Clc1cccc(Cl)c1', 'Clc1ccc2ccncc2c1', 'Clc1cccc(Cl)c1', 'Brc1ccc2ccncc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'Brc1ccc2ccncc2c1']; ['Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1[Zn]Br', 'Clc1cccc(Cl)c1Br', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Clc1cccc(Cl)c1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Oc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'OB(O)c1ccc2ccncc2c1', 'Clc1cccc(Cl)c1Br', 'Ic1ccc2ccncc2c1', 'Clc1cccc(Cl)c1', 'Oc1ccc2ccncc2c1', 'COc1c(Cl)cccc1Cl']; [0.9999947547912598, 0.9999943971633911, 0.9999909996986389, 0.99998939037323, 0.9999730587005615, 0.9998841285705566, 0.9998083114624023, 0.9996142387390137, 0.9995023012161255, 0.9992787837982178, 0.9986124038696289, 0.9981580972671509, 0.9980444312095642, 0.9975121021270752, 0.9973585605621338, 0.9934147596359253, 0.9922009706497192, 0.9858831763267517, 0.9821658134460449, 0.9388906955718994]
+Nc1nccc(-c2ccc3ccncc3c2)n1; ['Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1']; [0.9999994039535522, 0.9999967217445374, 0.9999893307685852, 0.9999232888221741, 0.9998108148574829]
+Brc1cccc(-c2ccc3ccncc3c2)c1; ['Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Ic1ccc2ccncc2c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Clc1cccc(Br)c1', 'Brc1ccc2ccncc2c1', 'Brc1cccc2ccncc12', 'Clc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc(Br)cc1', 'Clc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Brc1ccc2cnccc2c1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Brc1ccccc1Br', 'Brc1ccc2ccncc2c1', 'Br[Mg]c1cccc(Br)c1', 'Clc1ccc2ccncc2c1', 'Brc1cccc(Br)c1', 'Brc1ccc2ccncc2c1', 'Br[Mg]c1cccc(Br)c1']; ['OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1cccc(Br)c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1cccc(Br)c1', 'C[Sn](C)(C)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Brc1cccc(I)c1', 'Clc1ccc2ccncc2c1', 'O=C(O)c1cccc(Br)c1', 'Clc1ccc2ccncc2c1', 'F[B-](F)(F)c1cccc(Br)c1', 'Fc1ccc2ccncc2c1']; [0.9999501705169678, 0.9999498724937439, 0.9998372793197632, 0.9997537732124329, 0.9996570348739624, 0.9994690418243408, 0.9994311332702637, 0.999172031879425, 0.9989428520202637, 0.9967504143714905, 0.9946355223655701, 0.99381422996521, 0.9933693408966064, 0.9929381608963013, 0.9902812242507935, 0.9855768084526062, 0.9745677709579468, 0.9575151205062866, 0.9373499155044556, 0.9228496551513672, 0.8465588092803955, 0.7676258087158203, 0.7580727338790894, 0.7523776292800903]
+O=C(Nc1ccc2ccncc2c1)c1cccs1; ['Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'COC(=O)c1cccs1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'CCOC(=O)c1cccs1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'Nc1ccc2ccncc2c1', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1', 'Nc1ccc2ccncc2c1']; [0.9999362826347351, 0.9995933771133423, 0.9938845634460449, 0.9938315153121948, 0.9908567667007446, 0.9855899214744568]
+c1ccc2c(c1)ncn2-c1ccc2ccncc2c1; ['OB(O)c1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9999475479125977, 0.9984543323516846, 0.9978830814361572, 0.9725291132926941, 0.9635635018348694]
+c1cnn2ncc(-c3ccc4ccncc4c3)c2c1; ['Brc1cnn2ncccc12', 'Brc1ccc2ccncc2c1', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Ic1ccc2ccncc2c1', 'Brc1cnn2ncccc12']; [0.9999943375587463, 0.999951958656311, 0.9999431371688843, 0.9690356850624084]
+NC(=O)c1c(F)cccc1-c1ccc2ccncc2c1; ['NC(=O)c1c(F)cccc1Br']; ['OB(O)c1ccc2ccncc2c1']; [0.9999960660934448]
+c1cc2ccc(NCCc3c[nH]cn3)cc2cn1; ['NCCc1c[nH]cn1', 'Ic1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'NCCc1c[nH]cn1', 'N#CCc1c[nH]cn1', 'Nc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'NCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'Oc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'O=C(O)Cc1c[nH]cn1']; [0.9999988675117493, 0.9999600648880005, 0.9996412992477417, 0.9996296167373657, 0.9994146227836609, 0.9994061589241028, 0.9974707365036011, 0.9972999095916748, 0.980868935585022]
+c1ccc2cc(-c3ccc4ccncc4c3)ccc2c1; [None]; [None]; [0]
+c1ccc2c(-c3ccc4ccncc4c3)cncc2c1; ['Brc1ccc2ccncc2c1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1cncc2ccccc12', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'Br[Zn]c1cncc2ccccc12', 'OB(O)c1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Brc1cncc2ccccc12', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1cncc2ccccc12', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'OB(O)c1cncc2ccccc12', 'Ic1cncc2ccccc12', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'c1ccc2cnccc2c1', 'Brc1cncc2ccccc12', 'Clc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'C[Sn](C)(C)c1ccc2ccncc2c1', 'Ic1cncc2ccccc12', 'c1ccc2cnccc2c1', 'c1ccc2cnccc2c1']; [0.9999953508377075, 0.9999875426292419, 0.9999831914901733, 0.9999630451202393, 0.9999291300773621, 0.9998732805252075, 0.9998565912246704, 0.9997723698616028, 0.9997559785842896, 0.9997072219848633, 0.9996137619018555, 0.999473512172699, 0.9994118809700012, 0.9988672733306885, 0.9973385334014893, 0.9966630339622498, 0.9902402758598328, 0.9760507941246033, 0.9599093198776245, 0.9061525464057922, 0.8617801666259766]
+c1ccc(CCNc2ccc3ccncc3c2)cc1; ['NCCc1ccccc1', 'Nc1ccc2ccncc2c1', 'ClCCc1ccccc1', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'COC(Cc1ccccc1)OC', 'ICCc1ccccc1', 'Nc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'BrCCc1ccccc1', 'Nc1ccc2ccncc2c1', 'Cc1ccc(S(=O)(=O)OCCc2ccccc2)cc1', 'Fc1ccc2ccncc2c1', 'C=Cc1ccccc1', 'N#CCc1ccccc1', 'Nc1ccc2ccncc2c1', 'CS(=O)(=O)OCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'Nc1ccc2ccncc2c1', 'O=CCc1ccccc1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)CCc1ccccc1', 'Nc1ccc2ccncc2c1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'O=CCCc1ccccc1', 'NCCc1ccccc1', 'Nc1ccc2ccncc2c1', 'O=CCc1ccccc1', 'Nc1ccc2ccncc2c1', 'NCCc1ccccc1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'OCCc1ccccc1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Oc1ccc2ccncc2c1', 'O=C(O)Cc1ccccc1', 'O=[N+]([O-])c1ccc2ccncc2c1']; [0.9999635219573975, 0.9998685121536255, 0.9994785785675049, 0.9993236064910889, 0.9984079599380493, 0.9978759288787842, 0.9965999126434326, 0.9952285289764404, 0.994957447052002, 0.9940313696861267, 0.993960976600647, 0.9934612512588501, 0.9922753572463989, 0.9897516965866089, 0.9894959926605225, 0.9878528118133545, 0.9744418859481812, 0.9712017178535461, 0.8891781568527222, 0.8713401556015015, 0.7862516641616821]
+FC(F)(F)c1n[nH]cc1-c1ccc2ccncc2c1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccc4ccncc4c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc4ccncc4c3)ccc12; [None]; [None]; [0]
+Clc1ccc(CNc2ccc3ccncc3c2)cc1; ['NCc1ccc(Cl)cc1', 'Ic1ccc2ccncc2c1', 'Clc1ccc(CBr)cc1', 'Brc1ccc2ccncc2c1', 'ClCc1ccc(Cl)cc1', 'Fc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'O=Cc1ccc(Cl)cc1']; ['OB(O)c1ccc2ccncc2c1', 'NCc1ccc(Cl)cc1', 'Nc1ccc2ccncc2c1', 'NCc1ccc(Cl)cc1', 'Nc1ccc2ccncc2c1', 'NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'O=CCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=[N+]([O-])c1ccc2ccncc2c1']; [0.999985933303833, 0.9998038411140442, 0.9998022317886353, 0.9995143413543701, 0.9992257952690125, 0.9987632036209106, 0.9985324144363403, 0.9953265190124512, 0.9934481382369995, 0.9790180921554565, 0.9496643543243408]
 CN1c2ccc(-c3ccc4ccncc4c3)cc2CS1(=O)=O; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc3ccncc3c2)o1; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4ccncc4c3)ccc21; [None]; [None]; [0]
+c1cc2ccc(-c3ccc(-c4cn[nH]c4)cc3)cc2cn1; [None]; [None]; [0]
+c1cc(Nc2ccc3ccncc3c2)ccn1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'Nc1ccc2ccncc2c1', 'Nc1ccncc1', 'Brc1ccc2ccncc2c1', 'Brc1ccncc1', 'Ic1ccncc1', 'Ic1ccc2ccncc2c1', 'Clc1ccncc1', 'Clc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Fc1ccncc1', 'Nc1ccncc1', 'Nc1ccc2ccncc2c1']; ['Nc1ccc2ccncc2c1', 'OB(O)c1ccncc1', 'OB(O)c1ccc2ccncc2c1', 'Nc1ccncc1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Nc1ccncc1', 'Nc1ccc2ccncc2c1', 'Nc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Nc1ccncc1', 'CC(=O)Nc1ccncc1', 'Oc1ccncc1', 'Nc1ccc2ccncc2c1', 'Oc1ccc2ccncc2c1', 'c1ccncc1']; [0.9999895095825195, 0.9999799728393555, 0.9999713897705078, 0.9997616410255432, 0.9995596408843994, 0.9991734027862549, 0.9986823797225952, 0.9979097843170166, 0.997686505317688, 0.9960272312164307, 0.9959304332733154, 0.9933347702026367, 0.9913887977600098, 0.9897377490997314, 0.9808000326156616, 0.7573049664497375]
+OCc1cccc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OCc1cccc(I)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Cl)c1', 'OCc1cccc(Br)c1']; [0.9999943971633911, 0.9999903440475464, 0.9999483227729797, 0.9998375773429871, 0.999811053276062, 0.9993674755096436, 0.9992012977600098, 0.9989446401596069, 0.9972003698348999, 0.9924284219741821, 0.9860715270042419, 0.8850727081298828]
+Fc1ccccc1CNc1ccc2ccncc2c1; ['NCc1ccccc1F', 'Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'COC(OC)c1ccccc1F', 'N#Cc1ccccc1F', 'NCc1ccccc1F']; ['OB(O)c1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'OCc1ccccc1F', 'NCc1ccccc1F', 'O=Cc1ccccc1F', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'O=[N+]([O-])c1ccc2ccncc2c1']; [0.9999783039093018, 0.9996916055679321, 0.9996600151062012, 0.9995719194412231, 0.9987739324569702, 0.9978617429733276, 0.9972984790802002, 0.9903607368469238, 0.9898934364318848, 0.9895211458206177, 0.9255092144012451, 0.8976805210113525]
+CCCn1cnc(-c2ccc3ccncc3c2)n1; [None]; [None]; [0]
+Oc1cccc(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
+CC(C)n1cc(-c2ccc3ccncc3c2)nn1; ['CC(C)n1ccnn1', 'Brc1ccc2ccncc2c1']; ['Ic1ccc2ccncc2c1', 'CC(C)n1ccnn1']; [0.9999890327453613, 0.9999855756759644]
 COc1cc(-c2ccc3ccncc3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2ccc3ccncc3c2)nn1; [None]; [None]; [0]
+Nc1nc(-c2ccc3ccncc3c2)cs1; ['CC(=O)c1ccc2ccncc2c1', None]; ['NC(N)=S', None]; [0.9992382526397705, 0]
+CSc1nc(-c2ccc3ccncc3c2)c[nH]1; ['Brc1ccc2ccncc2c1']; ['CSc1ncc[nH]1']; [0.8248032331466675]
+c1cc2ccc(-c3csc4ncncc34)cc2cn1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Brc1csc2ncncc12']; [0.9999996423721313, 0.9996381998062134, 0.9884348511695862]
 c1cc2ccc(CCc3c[nH]nn3)cc2cn1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3ccncc3c2)cc1; ['Brc1ccc2ccncc2c1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1']; [0.9999998211860657, 0.9999997019767761, 0.9999972581863403]
+c1ccc2[nH]c(-c3ccc4ccncc4c3)cc2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccc2ccncc2c1; [None]; [None]; [0]
+Nc1ncncc1-c1ccc2ccncc2c1; ['Nc1ncncc1Br', 'Nc1ncncc1I', 'Ic1ccc2ccncc2c1', 'Nc1ncncc1Cl', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Nc1ncncc1Br', 'OB(O)c1ccc2ccncc2c1', 'Nc1ncncc1Br', 'Nc1ccncn1']; [0.9999985694885254, 0.9999955892562866, 0.9999638795852661, 0.9999373555183411, 0.9994858503341675, 0.9975669384002686]
+CCNc1nc2ccc(-c3ccc4ccncc4c3)cc2s1; [None]; [None]; [0]
+c1ccc(Oc2ccc3ccncc3c2)nc1; ['Clc1ccccn1', 'Brc1ccc2ccncc2c1', 'Brc1ccccn1', 'Fc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Fc1ccccn1', 'Ic1ccccn1', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['Oc1ccc2ccncc2c1', '[O-]c1ccccn1', 'Oc1ccc2ccncc2c1', '[O-]c1ccccn1', 'Oc1ccccn1', 'Oc1ccc2ccncc2c1', 'Oc1ccc2ccncc2c1', 'Oc1ccccn1', 'Oc1ccccn1']; [0.9942054748535156, 0.9936946630477905, 0.9871851801872253, 0.9859895706176758, 0.9629659652709961, 0.958773136138916, 0.9411001205444336, 0.9128881692886353, 0.8526173830032349]
+O=C(Nc1ccc2ccncc2c1)c1c(Cl)cccc1Cl; ['Nc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', None, 'COC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', None, 'Nc1ccc2ccncc2c1']; [0.9999459981918335, 0.9998925924301147, 0.9998258948326111, 0.9998202323913574, 0, 0.9982613325119019]
+CC(=O)Nc1cccc(-c2ccc3ccncc3c2)c1; ['Brc1ccc2ccncc2c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'Brc1ccc2ccncc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(Br)c1']; [0.9999994039535522, 0.9999988675117493, 0.9999933242797852, 0.9999837279319763, 0.9999405145645142, 0.9998944401741028, 0.9998489618301392, 0.9998407363891602, 0.9974639415740967, 0.9972983598709106, 0.9838672876358032]
+CS(=O)(=O)C1CCN(c2ccc3ccncc3c2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'CS(=O)(=O)C1CCNCC1']; [0.9999778866767883, 0.9995173811912537, 0.9992721080780029, 0.9989847540855408, 0.997890055179596]
+Fc1ccc(-c2ccc3ccncc3c2)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Brc1cccc2ccncc12', 'Brc1ccc2ccncc2c1', 'Brc1ccc2cnccc2c1', 'Fc1cc(Br)cc(C(F)(F)F)c1', 'Ic1ccc2ccncc2c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Clc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'C[Sn](C)(C)c1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'C[Sn](C)(C)c1ccc2ccncc2c1', 'Fc1cccc(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'COc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'Fc1ccc2ccncc2c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc2ccncc2c1', 'c1ccc2cnccc2c1', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'Oc1ccc(F)cc1C(F)(F)F', 'Oc1ccc2ccncc2c1']; [0.9999982714653015, 0.9999964833259583, 0.9999940991401672, 0.9999940395355225, 0.9999892711639404, 0.9999865889549255, 0.9999781847000122, 0.99997478723526, 0.9999052286148071, 0.9998816847801208, 0.999631941318512, 0.9991410374641418, 0.9974738359451294, 0.9970959424972534, 0.9968398809432983, 0.9967981576919556, 0.9967465996742249, 0.9851628541946411, 0.9836224317550659, 0.9816031455993652, 0.957599401473999, 0.9011890292167664, 0.8231509327888489, 0.750115156173706]
+Cn1cc(-c2ccc3ccncc3c2)c2ccccc21; ['Brc1ccc2ccncc2c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'NNc1ccc2ccncc2c1']; [0.9999977350234985, 0.9999772310256958, 0.9998193979263306, 0.9959800243377686, 0.9124318361282349]
 CC(C)(O)CC(=O)NCCc1ccc2ccncc2c1; [None]; [None]; [0]
-O=C(Nc1ccc2ccncc2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+NC(=O)CCCc1ccc2ccncc2c1; [None]; [None]; [0]
+CCCn1cc(-c2ccc3ccncc3c2)cn1; ['Brc1ccc2ccncc2c1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(Cl)cn1', 'CCCn1cccn1', 'CCCn1cc(B(O)O)cn1', 'Brc1ccc2ccncc2c1', 'CCCn1cc(B(O)O)cn1', 'Brc1ccc2ccncc2c1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'CCCn1cc(B(O)O)cn1', 'Clc1ccc2ccncc2c1', 'CCCn1cc(Br)cn1']; [1.0, 0.9999995231628418, 0.999998927116394, 0.9999979138374329, 0.9999929070472717, 0.9999881982803345, 0.9999879002571106, 0.9999547004699707, 0.9999387264251709, 0.9999375343322754, 0.9993674755096436]
 CC(C)(COc1ccc2ccncc2c1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2ccc3ccncc3c2)cc1Cl; ['Brc1ccc2ccncc2c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(I)cc1Cl', 'Brc1ccc2ccncc2c1', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(Br)cc1Cl', 'Brc1ccc2ccncc2c1', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'Brc1ccc2ccncc2c1', 'COc1ccc(O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'Brc1ccc2ccncc2c1', 'COc1ccc(I)cc1Cl', 'Brc1ccc2ccncc2c1', 'COc1ccccc1Cl', 'COc1ccc(Br)cc1Cl', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(C(=O)O)cc1Cl', 'COc1ccccc1Cl', 'COc1ccc([Mg]Br)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'COc1ccc(I)cc1Cl', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'COc1ccc(B(O)O)cc1Cl', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'COc1ccc([Mg]Br)cc1Cl', 'OB(O)c1ccc2ccncc2c1', 'Oc1ccc2ccncc2c1', 'COc1ccc(Cl)cc1Cl', 'C[Sn](C)(C)c1ccc2ccncc2c1', 'COc1ccc(Br)cc1Cl', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'COc1ccccc1Cl', 'COc1ccc(O)cc1Cl', 'Oc1ccc2ccncc2c1', 'c1ccc2cnccc2c1', 'Clc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'c1ccc2cnccc2c1', 'c1ccc2cnccc2c1']; [0.999998927116394, 0.9999953508377075, 0.9999918341636658, 0.999944806098938, 0.9999055862426758, 0.9998995065689087, 0.999874472618103, 0.9998527765274048, 0.9998037815093994, 0.9981162548065186, 0.9979212284088135, 0.995854377746582, 0.9928091764450073, 0.9914703369140625, 0.9910668134689331, 0.9907755851745605, 0.989389181137085, 0.9879482984542847, 0.986077070236206, 0.9815233945846558, 0.9649035930633545, 0.948094367980957, 0.9307963848114014, 0.9156006574630737, 0.9087967276573181, 0.8989419937133789, 0.8669420480728149, 0.7576197385787964]
+c1ccn2ncc(-c3ccc4ccncc4c3)c2c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2ccc3ccncc3c2)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ccc2ccncc2c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc2ccncc2c1; ['CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1Br', 'Brc1ccc2ccncc2c1', 'CCNS(=O)(=O)c1ccccc1']; ['OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'CCNS(=O)(=O)c1ccccc1Br', 'Ic1ccc2ccncc2c1']; [0.9998806715011597, 0.9998638033866882, 0.9875435829162598, 0.98468416929245]
+CC(C)(N)c1ccc(-c2ccc3ccncc3c2)cc1; ['CC(C)(N)c1ccc(Cl)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1']; [0.9992944002151489, 0.998014509677887]
+O=c1cc(-c2ccc3ccncc3c2)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3ccc4ccncc4c3)c21; [None]; [None]; [0]
+C[C@@H](Oc1ccc2ccncc2c1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Brc1ccc2ccncc2c1', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Oc1ccc2ccncc2c1', 'Oc1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1']; [0.9999991655349731, 0.9995988607406616, 0.998673141002655, 0.9963027238845825, 0.9943692684173584, 0.9943692684173584, 0.9907711744308472, 0.9075000286102295]
+C[S@](=O)c1ccc(-c2ccc3ccncc3c2)cc1; ['Brc1ccc2ccncc2c1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2ccncc2c1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(Cl)cc1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'CS(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1']; [0.9999994039535522, 0.999996542930603, 0.9999915957450867, 0.9999879598617554, 0.9999759197235107, 0.999933123588562, 0.9998636245727539]
+COc1cc(CCc2ccc3ccncc3c2)cc(OC)c1; [None]; [None]; [0]
+CCN(CC)c1ccc2ccncc2c1; ['CCNCC', None, None, None, None, 'CCNCC', 'CCNCC', 'CCNCC', 'Brc1ccc2cnccc2c1', 'Brc1ccc2ccncc2c1', 'Brc1cccc2ccncc12', None, None]; ['OB(O)c1ccc2ccncc2c1', None, None, None, None, 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'CCNCC', 'CCNCC', 'CCNCC', None, None]; [0.995080292224884, 0, 0, 0, 0, 0.9908391833305359, 0.9905295968055725, 0.9708520174026489, 0.9580422639846802, 0.948516845703125, 0.8985778093338013, 0, 0]
+COc1ccncc1Nc1ccc2ccncc2c1; ['COc1ccncc1N', 'COc1ccncc1Cl', 'COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2ccncc2c1', 'COc1ccncc1I', 'COc1ccncc1N', 'COc1ccncc1B(O)O', 'COc1ccncc1F']; ['OB(O)c1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'COc1ccncc1N', 'Nc1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1']; [0.999982476234436, 0.9999086856842041, 0.9998142719268799, 0.99970543384552, 0.9996989965438843, 0.999698281288147, 0.9995378255844116, 0.9992692470550537, 0.999207615852356, 0.9991859197616577, 0.9986070394515991]
+c1ccc(-c2ccncc2Nc2ccc3ccncc3c2)cc1; ['Nc1cnccc1-c1ccccc1', 'Brc1cnccc1-c1ccccc1', 'Nc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'OB(O)c1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.9999948143959045, 0.9999521970748901, 0.9999300241470337, 0.999881386756897, 0.9995729327201843, 0.9989297389984131, 0.9987821578979492]
+O=c1[nH]ccc2oc(-c3ccc4ccncc4c3)cc12; [None]; [None]; [0]
+c1ccc2ncc(Nc3ccc4ccncc4c3)cc2c1; ['Nc1ccc2ccncc2c1', 'Nc1cnc2ccccc2c1', 'Brc1ccc2ccncc2c1', 'Ic1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Fc1cnc2ccccc2c1', 'Fc1ccc2ccncc2c1', 'Nc1cnc2ccccc2c1']; ['OB(O)c1cnc2ccccc2c1', 'OB(O)c1ccc2ccncc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Nc1ccc2ccncc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccc2ccncc2c1', 'Nc1cnc2ccccc2c1', 'c1ccc2cnccc2c1']; [0.9999679327011108, 0.9999634027481079, 0.9998581409454346, 0.9995836019515991, 0.9995509386062622, 0.9992703795433044, 0.9991054534912109, 0.9990115165710449, 0.9984582662582397, 0.9983950853347778, 0.9811335802078247]
+CC(C)Oc1cncc(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc3ccncc3c2)cc1; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3ccc4ccncc4c3)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2ccc3ccncc3c2)cc1; [None]; [None]; [0]
-CN(c1ccc2ccncc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccc2ccncc2c1; ['CNC(=O)c1ccccc1F']; ['OB(O)c1ccc2ccncc2c1']; [0.96636962890625]
+c1cc2ccc(-c3cnc4[nH]ccc4c3)cc2cn1; ['Brc1ccc2ccncc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1', 'Ic1ccc2ccncc2c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Brc1cnc2[nH]ccc2c1', 'Brc1ccc2ccncc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1ccc2ccncc2c1', 'Brc1cnc2[nH]ccc2c1', 'C[Sn](C)(C)c1ccc2ccncc2c1']; [0.9999997615814209, 0.9999991655349731, 0.9999979734420776, 0.999997615814209, 0.9999953508377075, 0.9999945759773254, 0.9999931454658508, 0.9999910593032837, 0.9999910593032837, 0.9999071955680847, 0.9989005327224731, 0.9986691474914551]
+COc1cccc(F)c1-c1ccc2ccncc2c1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3ccncc3c2)cc1; ['Brc1ccc2ccncc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2ccncc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2ccncc2c1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [1.0, 1.0, 0.9999998211860657, 0.9999997019767761, 0.9999980926513672, 0.9999971389770508, 0.9999899864196777, 0.9805979132652283]
+CNS(=O)(=O)c1ccc(-c2ccc3ccncc3c2)cc1; ['Brc1ccc2ccncc2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2ccncc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1']; [0.9999992251396179, 0.9999986886978149, 0.9999940395355225, 0.9999915361404419, 0.9999867677688599, 0.9999864101409912, 0.9999743700027466, 0.9904484748840332]
+c1cc2ccc(-c3c[nH]c4cnccc34)cc2cn1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3ccncc3c2)cc1; ['Brc1ccc2ccncc2c1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2ccncc2c1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2ccncc2c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2ccncc2c1', 'CS(=O)(=O)c1ccccc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'CS(=O)(=O)c1ccc(I)cc1', 'Ic1ccc2ccncc2c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Ic1ccc2ccncc2c1']; [1.0, 1.0, 0.9999996423721313, 0.9999989867210388, 0.9999987483024597, 0.9999987483024597, 0.9999983310699463, 0.9999970197677612, 0.9999955892562866, 0.9998793601989746, 0.9994022846221924, 0.995330810546875, 0.8937339782714844]
+c1cc2ccc(-c3ccc(N4CCOCC4)cc3)cc2cn1; ['Brc1ccc2ccncc2c1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccc2ccncc2c1', 'Ic1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'Br[Mg]c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc2ccncc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccc2ccncc2c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Ic1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'Clc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'c1ccc(N2CCOCC2)cc1', 'Brc1ccc2ccncc2c1', 'c1ccc2cnccc2c1', 'c1ccc(N2CCOCC2)cc1', 'c1ccc(N2CCOCC2)cc1']; [1.0, 1.0, 0.9999998211860657, 0.9999997615814209, 0.9999995231628418, 0.9999994039535522, 0.9999992847442627, 0.9999991059303284, 0.9999990463256836, 0.9999935030937195, 0.9999891519546509, 0.9999616742134094, 0.9999189376831055, 0.9999182224273682, 0.9999173283576965, 0.9998833537101746, 0.9994800090789795, 0.9889236688613892, 0.9845050573348999, 0.85575932264328]
 C[C@H](Nc1ccc2ccncc2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@H](Nc1ccc2ccncc2c1)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'Brc1ccc2ccncc2c1', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Ic1ccc2ccncc2c1', 'C[C@H](N)C(C)(C)O', 'Fc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Oc1ccc2ccncc2c1']; [0.9984045028686523, 0.9896900057792664, 0.9738965034484863, 0.9621381759643555, 0.7926677465438843]
+CN(c1ccc2ccncc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC1(c2ccc3ccncc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@@H](Nc1ccc2ccncc2c1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'Brc1ccc2ccncc2c1', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'C[C@@H](N)C(C)(C)O', 'Fc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Oc1ccc2ccncc2c1']; [0.9992305636405945, 0.9984045028686523, 0.9896900057792664, 0.9738965034484863, 0.9621381759643555, 0.7926677465438843]
+OCc1ccn(-c2ccc3ccncc3c2)n1; ['OB(O)c1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.999994158744812, 0.9998571872711182, 0.9998084306716919, 0.9977853298187256]
+Cc1cc(-c2ccc3ccncc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+OCCc1cn(-c2ccc3ccncc3c2)cn1; ['OB(O)c1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1']; ['OCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'OCCc1cnc[nH]1', 'OCCc1c[nH]cn1', 'OCCc1cnc[nH]1']; [0.9999964237213135, 0.9999954700469971, 0.9999868869781494, 0.9999832510948181, 0.9997233152389526, 0.9995697140693665]
+Oc1cccc2c1cnn2-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.9994844198226929, 0.998742401599884, 0.9943549036979675]
+Fc1cccc(Cl)c1-c1ccc2ccncc2c1; ['Brc1ccc2ccncc2c1', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Ic1ccc2ccncc2c1', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Fc1cccc(Cl)c1Cl', 'OB(O)c1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Fc1cccc(Cl)c1', 'Fc1cccc(Cl)c1', 'OB(O)c1c(F)cccc1Cl', 'Clc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Fc1cccc(Cl)c1Cl', 'Fc1cccc(Cl)c1Br', 'OB(O)c1c(F)cccc1Cl']; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1c(F)cccc1Cl', 'Clc1ccc2ccncc2c1', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1Br', 'OB(O)c1ccc2ccncc2c1', 'Oc1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Cl', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'Oc1ccc2ccncc2c1', 'O=C(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1', 'O=C(O)c1ccc2ccncc2c1', 'c1ccc2cnccc2c1', 'c1ccc2cnccc2c1']; [1.0, 1.0, 1.0, 1.0, 1.0, 0.9999997615814209, 0.9999997019767761, 0.9999995231628418, 0.9999995231628418, 0.9999990463256836, 0.9999909400939941, 0.9999874830245972, 0.99998539686203, 0.9999767541885376, 0.9999735355377197, 0.999747097492218, 0.9994183778762817, 0.999373197555542, 0.9992355704307556, 0.9979536533355713, 0.9919536113739014, 0.9603021144866943, 0.8810787200927734]
+c1ccc2c(c1)cnn2-c1ccc2ccncc2c1; [None]; [None]; [0]
+c1cc2ccc(-c3ccc(-n4cncn4)cc3)cc2cn1; [None]; [None]; [0]
+Oc1ccc2nc(-c3ccc4ccncc4c3)[nH]c2c1; [None]; [None]; [0]
+COc1ccc(-c2ccc3ccncc3c2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc3ccncc3c2)cc1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc2ccncc2c1; [None]; [None]; [0]
+c1cc2ccc(-c3nncn3C3CC3)cc2cn1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc3ccncc3c2)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3ccncc3c2)CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccc3ccncc3c2)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ccc5ccncc5c4)n3n2)cc1; [None]; [None]; [0]
+Nc1nnc(-c2ccc3ccncc3c2)s1; ['N#Cc1ccc2ccncc2c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc2ccncc2c1']; [0.9999695420265198, 0.9996564984321594]
+CCc1cc(-c2ccc3ccncc3c2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1', 'Brc1ccc2ccncc2c1', 'CCc1ccnc(N)n1']; ['OB(O)c1ccc2ccncc2c1', 'CCc1cc(Cl)nc(N)n1', 'Ic1ccc2ccncc2c1']; [0.9999971389770508, 0.9999681711196899, 0.9973954558372498]
+CNC(=O)c1ccc(-c2ccc3ccncc3c2)s1; ['CNC(=O)c1ccc(Br)s1', 'CNC(=O)c1ccc(Cl)s1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'CNC(=O)c1ccc(Br)s1']; [0.9999978542327881, 0.9999923706054688, 0.9990980625152588]
+c1ccc(Cn2cc(-c3ccc4ccncc4c3)nn2)cc1; [None]; [None]; [0]
 O=S(=O)(Cc1ccc2ccncc2c1)NCc1ccccn1; [None]; [None]; [0]
+O=C(CCc1ccc2ccncc2c1)NCc1ccccn1; [None]; [None]; [0]
+CCCCc1cc(-c2ccc3ccncc3c2)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc3ccncc3c2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'Brc1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1ccccn1']; [0.9999967217445374, 0.9997795820236206, 0.9985663890838623, 0.9065779447555542]
 Cn1cc(C(N)=O)cc1-c1ccc2ccncc2c1; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2ccc3ccncc3c2)c(F)c1; [None]; [None]; [0]
+Nc1cncc(-c2ccc3ccncc3c2)n1; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'Brc1ccc2ccncc2c1']; ['OB(O)c1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'Nc1cncc(Br)n1']; [0.9999934434890747, 0.9999932646751404, 0.9942928552627563]
+c1cc(-c2ccc3ccncc3c2)c2sccc2c1; ['Brc1ccc2ccncc2c1', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cccc2ccsc12', 'Ic1ccc2ccncc2c1', 'Brc1ccc2ccncc2c1', 'Clc1cccc2ccsc12', 'Brc1cccc2ccsc12', 'Clc1ccc2ccncc2c1']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Ic1ccc2ccncc2c1', 'Clc1ccc2ccncc2c1', 'OB(O)c1ccc2ccncc2c1', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'OB(O)c1cccc2ccsc12']; [0.9999997615814209, 0.9999963641166687, 0.9999809861183167, 0.9999711513519287, 0.9999133348464966, 0.9997260570526123, 0.9997251033782959, 0.99899822473526, 0.9949699640274048]
+c1ccc2sc(-c3ccc4ccncc4c3)nc2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ccc4ccncc4c3)nc2NC1=O; [None]; [None]; [0]
+[NH3+]Cc1ccc(Oc2ccc3ccncc3c2)c(F)c1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4ccncc4c3)c2)cc1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc3ccncc3c2)CC1; [None]; [None]; [0]
 c1cc(-c2ccc3ccncc3c2)c2snnc2c1; [None]; [None]; [0]
+Nc1nc(-c2ccc3ccncc3c2)nc2ccccc12; [None]; [None]; [0]
+c1ccc2nc(-c3ccc4ccncc4c3)ncc2c1; [None]; [None]; [0]
+c1cnc2c(-c3ccc4ccncc4c3)c[nH]c2c1; [None]; [None]; [0]
+OCCn1cnc(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc3ccncc3c2)[nH]1; [None]; [None]; [0]
+c1cc2ccc(-c3ncc4cc[nH]c4n3)cc2cn1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc2ccncc2c1; [None]; [None]; [0]
 COc1ccc(Oc2ccc3ccncc3c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc3ccncc3c2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc3ccncc3c2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1ccc2ccncc2c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc3ccncc3c2)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cncc(Cl)c1; ['CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1']; ['OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1']; [0.999940037727356, 0.999764084815979, 0.9971014261245728]
+CN(C)c1cc(-c2ccc3ccncc3c2)cnn1; [None]; [None]; [0]
+COC(C)(C)CCc1cncc(Cl)c1; ['COC(C)(C)CBr']; ['Cc1cncc(Cl)c1']; [0.8128707408905029]
+c1ccc2[nH]c(C3CCN(c4ccc5ccncc5c4)CC3)nc2c1; [None]; [None]; [0]
+CCOc1ccccc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1[Mg]Br', 'CCOc1ccccc1Cl', 'CCOc1ccccc1Br']; ['CCOc1ccccc1Br', 'Clc1cncc(Br)c1', 'CCOc1ccccc1Cl', 'Clc1cncc(I)c1', 'Clc1cncc(I)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.999995231628418, 0.9999948740005493, 0.9999217391014099, 0.9998757839202881, 0.9997895956039429, 0.9993758201599121, 0.9991098046302795, 0.9990825653076172, 0.9984469413757324, 0.9964148998260498, 0.9938740134239197, 0.9937415719032288, 0.9919657707214355, 0.9901576638221741]
+CC(C)S(=O)(=O)c1ccccc1-c1cncc(Cl)c1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1cccc(Br)c1', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc([Mg]Br)c1', 'Clc1cncc(Br)c1', 'Clc1cnccc1Br', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(I)c1']; [0.9999990463256836, 0.9999759197235107, 0.9998780488967896, 0.9991967678070068, 0.9985662698745728, 0.997250497341156, 0.9941805601119995, 0.9928712248802185, 0.9748752117156982, 0.9143296480178833]
+Cc1nnc(-c2ccccc2-c2cncc(Cl)c2)[nH]1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2cncc(Cl)c2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)cc(F)c2)OC1(C)C', 'ClCc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Fc1cc(F)cc(CCl)c1', 'Clc1cncc(Br)c1', 'Clc1cccnc1']; ['Fc1cc(F)cc(CCl)c1', 'ClCc1cncc(Cl)c1', 'OB(O)c1cc(F)cc(F)c1', 'Fc1cc(F)cc(CBr)c1', 'OB(O)c1cncc(Cl)c1', 'Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(CBr)c1']; [0.9999881386756897, 0.9999256730079651, 0.9994125366210938, 0.999037504196167, 0.9989234209060669, 0.9984179735183716, 0.9229224920272827]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3ccncc3c2)C1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'Brc1ccc2ccncc2c1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['OB(O)c1ccc2ccncc2c1', 'Ic1ccc2ccncc2c1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'Clc1ccc2ccncc2c1', 'Fc1ccc2ccncc2c1']; [0.9999932050704956, 0.9999452829360962, 0.9999024868011475, 0.9997056126594543, 0.9995806217193604]
+CCn1cc(-c2cncc(Cl)c2)cn1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CCn1cc(B(O)O)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1']; ['CCn1cc(I)cn1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'CCn1cc(Br)cn1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1']; [0.9999779462814331, 0.9998705387115479, 0.999855637550354, 0.9998031258583069, 0.9969381093978882, 0.9960769414901733, 0.9881157875061035]
+CP(C)(=O)c1ccccc1-c1cncc(Cl)c1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ccc3ccncc3c2)c1)C1CCNCC1; [None]; [None]; [0]
-O=c1c2c(F)cccc2cnn1-c1cncc(Cl)c1; [None]; [None]; [0]
+Clc1cncc(-c2ccnc3ccccc23)c1; ['Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'Clc1cncc(Br)c1', 'Ic1ccnc2ccccc12', 'Brc1ccnc2ccccc12', 'Clc1cncc(I)c1', 'Clc1ccnc2ccccc12', 'Clc1cncc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Brc1ccnc2ccccc12', 'Brc1ccnc2ccccc12', 'CCCC[Sn](CCCC)(CCCC)c1ccnc2ccccc12', None, 'Clc1cncc(Cl)c1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'Ic1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Clc1cncc(I)c1', 'Clc1cncc(I)c1', 'Ic1ccnc2ccccc12', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', None, 'OB(O)c1ccnc2ccccc12']; [0.9999961853027344, 0.999991774559021, 0.9999901652336121, 0.999956488609314, 0.9998244047164917, 0.9992854595184326, 0.9991312026977539, 0.9990695118904114, 0.9987524747848511, 0.9984782934188843, 0.9963510036468506, 0.9942526817321777, 0.9938807487487793, 0.9911507368087769, 0.9908978343009949, 0.9874011278152466, 0, 0.9747515916824341]
+FC(F)(F)Oc1ccccc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'Clc1cncc([Mg]Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Br)c1', 'FC(F)(F)Oc1ccccc1Cl', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', None, 'Clc1cccnc1', 'Clc1cccnc1', 'Clc1cccnc1']; ['FC(F)(F)Oc1ccccc1Br', 'Clc1cncc(Br)c1', 'FC(F)(F)Oc1ccccc1I', 'Clc1cncc(I)c1', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccccc1', None, 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Cl']; [0.9999996423721313, 0.9999995231628418, 0.9999991655349731, 0.9999973773956299, 0.9999785423278809, 0.9999321699142456, 0.9999240040779114, 0.999923586845398, 0.999871015548706, 0.9998562335968018, 0.9998195171356201, 0.9990081191062927, 0.9987891912460327, 0.9982609748840332, 0.998103141784668, 0.9980159997940063, 0.9976392388343811, 0.9959311485290527, 0, 0.9907907247543335, 0.9807257652282715, 0.8292821645736694]
+FC(F)(F)c1cccc(-c2cncc(Cl)c2)c1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'O=S(=O)(Oc1cccc(C(F)(F)F)c1)C(F)(F)F', 'FC(F)(F)c1cccc(I)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc([Zn]Br)c1', 'FC(F)(F)c1cccc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'FC(F)(F)c1cccc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'FC(F)(F)c1cccc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', None]; ['Clc1cncc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Cl)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cncc(Cl)c1', 'FC(F)(F)c1cccc([Mg]Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'OB(O)c1cccc(C(F)(F)F)c1', 'F[B-](F)(F)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc([Mg]Br)c1', 'FC(F)(F)c1cccc(Br)c1', None]; [0.9999995231628418, 0.9999991655349731, 0.9999988079071045, 0.9999973177909851, 0.9999960660934448, 0.9999940991401672, 0.9999450445175171, 0.999911904335022, 0.9997985363006592, 0.9997941851615906, 0.9996821284294128, 0.9995895624160767, 0.9995193481445312, 0.9992448091506958, 0.9989215135574341, 0.9987124800682068, 0.9985296726226807, 0.998154878616333, 0.9976153373718262, 0.9972068667411804, 0.996338963508606, 0.9961289167404175, 0.9883645176887512, 0]
+Clc1cncc(-c2cnn(Cc3ccccc3)c2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'Clc1cncc(I)c1', 'Brc1cnn(Cc2ccccc2)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1']; ['Ic1cnn(Cc2ccccc2)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'c1ccc(Cn2cccn2)cc1']; [0.9999972581863403, 0.9999971389770508, 0.9999955892562866, 0.9999932646751404, 0.9999840259552002, 0.999876856803894, 0.9998193979263306, 0.9993366003036499, 0.9987388849258423, 0.9970505237579346, 0.8961354494094849]
+Cn1cnc2ccc(-c3cncc(Cl)c3)cc2c1=O; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Cn1cnc2ccc(Br)cc2c1=O', 'Clc1cncc(Br)c1']; ['Cn1cnc2ccc(Br)cc2c1=O', 'OB(O)c1cncc(Cl)c1', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.999996542930603, 0.9998502731323242, 0.9975642561912537]
+O=C([O-])c1ccccc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C']; ['O=C([O-])c1ccccc1']; [0.9996509552001953]
+CC(C)(C)c1nc(-c2cncc(Cl)c2)cs1; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1']; ['Clc1cncc(Br)c1']; [0.9999996423721313]
+NC(=O)c1ccccc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1I', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'NC(=O)c1ccccc1Cl', 'Clc1cncc(Br)c1']; ['NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'Clc1cncc(Br)c1', 'NC(=O)c1ccccc1Cl', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1B(O)O', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'OB(O)c1cncc(Cl)c1', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br', 'OB(O)c1cncc(Cl)c1', 'NC(=O)c1ccccc1Br']; [0.9999988079071045, 0.9999977350234985, 0.9999896287918091, 0.999977707862854, 0.9999769926071167, 0.9999545812606812, 0.9999040365219116, 0.9997948408126831, 0.9997401237487793, 0.9990922808647156, 0.9983741044998169, 0.9971507787704468, 0.996856689453125, 0.9957639575004578, 0.9924386739730835, 0.9478838443756104]
+Clc1cncc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+OCCn1cc(-c2cncc(Cl)c2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1']; ['Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'OCCn1cc(Br)cn1', 'OCCn1cc(I)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1']; [0.9999826550483704, 0.9999358654022217, 0.9999134540557861, 0.9997931718826294, 0.9980517625808716, 0.9979540109634399]
+CC(C)C(=O)COc1cncc(Cl)c1; ['CC(C)C(=O)CBr', 'CC(C)C(=O)CCl']; ['Oc1cncc(Cl)c1', 'Oc1cncc(Cl)c1']; [0.9984707832336426, 0.9984531402587891]
+COc1cnc(-c2cncc(Cl)c2)nc1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Cl)nc1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1']; [0.9996736645698547, 0.991804301738739, 0.9249463081359863]
+O=C(Nc1cccc(-c2cncc(Cl)c2)c1)c1ccccc1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1']; ['Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1ccccc1)c1ccccc1', 'O=C(Nc1ccccc1)c1ccccc1']; [0.9999995827674866, 0.9999995231628418, 0.9999972581863403, 0.9999540448188782, 0.999847412109375, 0.999293327331543, 0.999147891998291, 0.9384286999702454, 0.7833060026168823]
+Clc1cncc(-c2cc(Cl)ccc2Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1ccc(Cl)c([Mg]Br)c1', 'Clc1ccc(Cl)c(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1ccc(Cl)c(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)cc1', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)cc1']; ['Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc([Zn]Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1cncc(Br)c1', 'Clc1cncc([Mg]Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1cncc(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cccnc1', 'Clc1cncc(I)c1']; [0.9999992847442627, 0.9999990463256836, 0.9999972581863403, 0.9999896287918091, 0.9999589920043945, 0.9999479055404663, 0.9999258518218994, 0.9999074935913086, 0.9998818635940552, 0.9998565316200256, 0.9997378587722778, 0.9997302889823914, 0.9995729327201843, 0.9994829893112183, 0.9994127750396729, 0.9991663694381714, 0.9984920024871826, 0.9983769655227661, 0.9975948333740234, 0.9823125004768372, 0.9641513824462891, 0.9388001561164856, 0.920952320098877, 0.7997928857803345]
+Clc1cncc(-c2cnc3ccccn23)c1; ['Brc1cnc2ccccn12', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'OB(O)c1cncc(Cl)c1', 'Brc1cnc2ccccn12', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cnc2ccccn12', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cnc2ccccn12', 'Clc1cncc(Cl)c1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cnc2ccccn12', 'OB(O)c1cncc(Cl)c1', 'c1ccn2ccnc2c1', 'OB(O)c1cncc(Cl)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'OB(O)c1cncc(Cl)c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'Clc1cncc(Br)c1', 'O=C(O)c1cnc2ccccn12']; [0.9999991655349731, 0.9999929666519165, 0.9999803304672241, 0.9998878836631775, 0.9997426271438599, 0.999741792678833, 0.999691367149353, 0.9991301894187927, 0.9987077713012695, 0.9982250928878784, 0.9971294403076172, 0.9310627579689026]
+Cc1ccc(-c2cncc(Cl)c2)c(Br)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Cc1ccc(I)c(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Cc1ccc(I)c(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.9999983310699463, 0.9999667406082153, 0.9996649622917175, 0.9986324310302734, 0.9974589347839355, 0.9749091863632202, 0.9489423632621765, 0.856187105178833, 0.8545677661895752]
+Cc1nc2ccccn2c1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br']; ['Cc1nc2ccccn2c1Br', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1']; [0.999995768070221, 0.9999772310256958, 0.999929666519165, 0.9998888969421387, 0.9998229146003723, 0.9977632761001587]
+Cc1nc(C)c(-c2cncc(Cl)c2)s1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(Br)s1', 'Cc1csc(C)n1', 'Cc1csc(C)n1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(Br)s1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1']; [0.9999991655349731, 0.9999974966049194, 0.9997757077217102, 0.9990077018737793, 0.9942564368247986, 0.9704611897468567]
+CNc1nc(C)c(-c2cncc(Cl)c2)s1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CNc1nc(C)c(Br)s1', 'CNc1nc(C)cs1']; ['CNc1nc(C)c(Br)s1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.9999994039535522, 0.999926745891571, 0.9988653659820557]
+Cc1nc(N)sc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Cc1csc(N)n1']; ['Cc1nc(N)sc1Br', 'Clc1cncc(Br)c1']; [0.9999995231628418, 0.9985226392745972]
+Clc1cncc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Cl)c1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'O=C(O)c1cnc2cccnn12']; [1.0, 0.9999994039535522, 0.9999889135360718, 0.9998468160629272, 0.9994730949401855, 0.9963454604148865, 0.9690340757369995]
+Clc1cncc(NCc2cccnc2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'BrCc1cccnc1', 'Nc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'ClCc1cccnc1', 'Nc1cncc(Cl)c1', 'Fc1cncc(Cl)c1', 'Clc1cncc(Cl)c1']; ['NCc1cccnc1', 'Nc1cncc(Cl)c1', 'OCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'Nc1cncc(Cl)c1', 'O=Cc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; [0.999711275100708, 0.9996655583381653, 0.9983408451080322, 0.997644305229187, 0.9972493648529053, 0.9960120916366577, 0.9954299330711365, 0.9913222193717957, 0.9608808755874634]
+Clc1cncc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
 Cc1c(-c2cncc(Cl)c2)sc(=O)n1C; [None]; [None]; [0]
-Clc1cncc(-c2cnn3ncccc23)c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cncc(Cl)c2)o1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cncc(Cl)c2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c([Mg]Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Cc1ccc(Cl)c(I)c1']; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(I)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Br)c1', 'Clc1cncc([Mg]Br)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cccnc1']; [0.9999995231628418, 0.9999992847442627, 0.9999960064888, 0.9999938011169434, 0.9999675750732422, 0.9999538660049438, 0.9999520778656006, 0.9999234676361084, 0.9999232888221741, 0.9997742176055908, 0.9997468590736389, 0.999687671661377, 0.9996476173400879, 0.9989426136016846, 0.9983633756637573, 0.997956395149231, 0.9969592094421387, 0.9899019598960876, 0.9723190665245056, 0.9591344594955444]
+Clc1cncc(-c2cccc(Br)c2)c1; ['Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(I)c1', 'Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'Clc1cncc(Br)c1', 'Brc1cccc(Br)c1', 'Clc1cncc(Cl)c1', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Clc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Br[Mg]c1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc([Zn]Br)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cccc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1']; [0.9999970197677612, 0.999980092048645, 0.9999662637710571, 0.9999271631240845, 0.9999172687530518, 0.998708963394165, 0.9985683560371399, 0.9984443187713623, 0.997429609298706, 0.9964717030525208, 0.9922595620155334, 0.9889740943908691, 0.982926607131958, 0.9816480875015259, 0.9756914377212524, 0.9690659046173096, 0.9681663513183594, 0.9390559196472168, 0.8701834678649902]
+O=c1c2c(F)cccc2cnn1-c1cncc(Cl)c1; [None]; [None]; [0]
+Clc1cncc(-c2c(Cl)cccc2Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'Clc1cccc(Cl)c1Br', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cccc(Cl)c1I', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'Clc1cncc(Cl)c1', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1', 'Clc1cccc(Cl)c1', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I']; ['Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cccc(Cl)c1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1cncc(Cl)c1', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cncc(I)c1', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cccnc1', 'Clc1cccnc1']; [0.9999998211860657, 0.9999997615814209, 0.9999973773956299, 0.9999933242797852, 0.999992311000824, 0.9999598264694214, 0.9999417662620544, 0.9999098181724548, 0.9998838901519775, 0.9998449087142944, 0.9998279809951782, 0.999764621257782, 0.9997581243515015, 0.9990242123603821, 0.9973896741867065, 0.997179388999939, 0.9961485862731934, 0.9089910984039307, 0.8509039878845215]
+Nc1nccc(-c2cncc(Cl)c2)n1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Nc1nccc(Br)n1', 'Clc1cncc(Br)c1', 'Nc1nccc(I)n1', 'Clc1cncc(Br)c1', 'Nc1nccc(Cl)n1', 'Nc1ncccn1']; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'OB(O)c1cncc(Cl)c1', 'Nc1nccc(Br)n1', 'OB(O)c1cncc(Cl)c1', 'Nc1nccc(Cl)n1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1']; [1.0, 0.9999996423721313, 0.9999890327453613, 0.9999810457229614, 0.9999724626541138, 0.9999573230743408, 0.9997212886810303, 0.9995489716529846]
+O=C(Nc1cncc(Cl)c1)c1cccs1; ['Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9994156956672668, 0.999363124370575]
+Clc1cncc(Nc2cccnc2)c1; ['Nc1cccnc1', 'Clc1cncc(Br)c1', 'Nc1cccnc1', 'Ic1cccnc1', 'Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Brc1cccnc1', 'Clc1cncc(I)c1', 'Clc1cccnc1']; ['OB(O)c1cncc(Cl)c1', 'Nc1cccnc1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Nc1cncc(Cl)c1', 'OB(O)c1cccnc1', 'O=S(=O)(Oc1cccnc1)C(F)(F)F', 'Nc1cncc(Cl)c1', 'Nc1cccnc1', 'Nc1cncc(Cl)c1']; [0.9980132579803467, 0.9955120086669922, 0.9946334362030029, 0.9939717054367065, 0.9921265840530396, 0.9917241334915161, 0.9914815425872803, 0.9862004518508911, 0.9105807542800903]
+Clc1cncc(-c2cnn3ncccc23)c1; ['Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12', 'Brc1cnn2ncccc12']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1']; [0.9999994039535522, 0.9999994039535522, 0.9999831914901733, 0.9998140335083008, 0.9989101886749268]
+Clc1cncc(NCCc2c[nH]cn2)c1; ['Clc1cncc(Br)c1', 'Fc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9994360208511353, 0.9993405342102051, 0.9978737831115723, 0.9966198205947876]
+Clc1cncc(-c2ccc3ccccc3c2)c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1ccc2ccccc2c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'O=S(=O)(Oc1ccc2ccccc2c1)C(F)(F)F', 'Brc1ccc2ccccc2c1', 'Clc1cncc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Ic1ccc2ccccc2c1', 'Clc1cncc(Br)c1', 'Brc1ccc2ccccc2c1', 'Clc1cncc([Zn]Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Brc1ccc2ccccc2c1', 'Clc1cncc(I)c1', 'Clc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Br[Mg]c1ccc2ccccc2c1', 'Clc1cncc(Br)c1']; ['Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Ic1ccc2ccccc2c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'Clc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1ccc2ccccc2c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'F[B-](F)(F)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1cncc(Cl)c1', 'c1ccc2ccccc2c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'c1ccc2ccccc2c1']; [0.9999986886978149, 0.9999984502792358, 0.9999977350234985, 0.9999958276748657, 0.9999866485595703, 0.9999809265136719, 0.9999774098396301, 0.9999616146087646, 0.9999257326126099, 0.9998921751976013, 0.9998610019683838, 0.9998230934143066, 0.9997471570968628, 0.9995061159133911, 0.9994997978210449, 0.999457836151123, 0.9991652965545654, 0.9989511966705322, 0.997960090637207, 0.9968891143798828, 0.9950162172317505, 0.9937599897384644, 0.9929448366165161, 0.9891936779022217, 0.9828788638114929]
+Clc1cncc(-n2cnc3ccccc32)c1; ['Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Fc1cncc(Cl)c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9965258836746216, 0.9964138269424438, 0.995662271976471, 0.9936143159866333]
+FC(F)(F)c1n[nH]cc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Cl', 'Clc1cncc(Br)c1']; ['FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'FC(F)(F)c1n[nH]cc1Br']; [0.9999974966049194, 0.9999945163726807, 0.999957263469696, 0.9999308586120605, 0.9997298717498779, 0.999340295791626, 0.9987635612487793, 0.9979189038276672]
+NC(=O)c1c(F)cccc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl']; ['NC(=O)c1c(F)cccc1Br', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1']; [1.0, 0.9999627470970154, 0.9984337091445923]
+Clc1cncc(NCCc2ccccc2)c1; ['Clc1cncc(Br)c1', 'BrCCc1ccccc1', 'ICCc1ccccc1', 'Clc1cncc(I)c1', 'NCCc1ccccc1', 'Nc1cncc(Cl)c1', 'Fc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'ClCCc1ccccc1', 'Clc1cncc(Cl)c1', 'N#CCc1ccccc1']; ['NCCc1ccccc1', 'Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'NCCc1ccccc1', 'Oc1cncc(Cl)c1', 'O=CCCc1ccccc1', 'NCCc1ccccc1', 'O=CCc1ccccc1', 'Nc1cncc(Cl)c1', 'NCCc1ccccc1', 'Nc1cncc(Cl)c1']; [0.9991159439086914, 0.9984915256500244, 0.9981598258018494, 0.99712073802948, 0.9954771399497986, 0.9943224191665649, 0.9940556883811951, 0.9911988973617554, 0.989619255065918, 0.9885866641998291, 0.9735773205757141]
+Cn1cc(-c2ccc(-c3cncc(Cl)c3)cc2)cn1; ['Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Cl)c1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Clc1cncc(Br)c1']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'OB(O)c1cncc(Cl)c1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; [0.9999997615814209, 0.9999985098838806, 0.9999980926513672, 0.9984360933303833, 0.9918789863586426]
+Clc1cncc(-c2cncc3ccccc23)c1; ['Brc1cncc2ccccc12', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Ic1cncc2ccccc12', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Brc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Clc1cncc(Br)c1', 'Clc1cncc([Zn]Br)c1', 'Br[Zn]c1cncc2ccccc12', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Brc1cncc2ccccc12', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Clc1cncc(Cl)c1', 'Br[Mg]c1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Clc1cncc(Br)c1', 'Brc1cncc2ccccc12', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Ic1cncc2ccccc12', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc2ccccc12', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Ic1cncc2ccccc12', 'Ic1cncc2ccccc12', 'Clc1cncc(I)c1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Ic1cncc2ccccc12', 'Clc1cncc([Mg]Br)c1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'OB(O)c1cncc2ccccc12', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'F[B-](F)(F)c1cncc2ccccc12', 'F[B-](F)(F)c1cncc(Cl)c1', 'c1ccc2cnccc2c1', 'c1ccc2cnccc2c1']; [0.9999992251396179, 0.999998927116394, 0.9999970197677612, 0.9999918937683105, 0.9999683499336243, 0.9999251365661621, 0.999900221824646, 0.9998385310173035, 0.9998152256011963, 0.9997440576553345, 0.9994285702705383, 0.9993053674697876, 0.9989812970161438, 0.9987032413482666, 0.9981540441513062, 0.996650218963623, 0.9961579442024231, 0.9940260648727417, 0.9938533306121826, 0.9937043190002441, 0.9933940172195435, 0.9913539886474609, 0.9895237684249878, 0.9778493642807007, 0.9471017718315125, 0.8157968521118164]
+Clc1ccc(CNc2cncc(Cl)c2)cc1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1ccc(CBr)cc1', 'Nc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'ClCc1ccc(Cl)cc1', 'Fc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Nc1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'NCc1ccc(Cl)cc1', 'COc1cncc(Cl)c1']; ['NCc1ccc(Cl)cc1', 'Nc1cncc(Cl)c1', 'OCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'Nc1cncc(Cl)c1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=[N+]([O-])c1cncc(Cl)c1', 'NCc1ccc(Cl)cc1']; [0.9999925494194031, 0.9998983144760132, 0.9996469616889954, 0.9995428919792175, 0.9992929697036743, 0.9986370801925659, 0.9983067512512207, 0.9954549074172974, 0.9933194518089294, 0.9887557029724121, 0.8326336145401001]
+Nc1[nH]nc2cc(-c3cncc(Cl)c3)ccc12; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Nc1[nH]nc2cc(Br)ccc12', 'Clc1cncc(Br)c1', 'Nc1[nH]nc2cc(Cl)ccc12']; ['Nc1[nH]nc2cc(Br)ccc12', 'OB(O)c1cncc(Cl)c1', 'Nc1[nH]nc2cc(Br)ccc12', 'OB(O)c1cncc(Cl)c1']; [1.0, 0.9997050762176514, 0.9971636533737183, 0.9591965675354004]
 CN1c2ccc(-c3cncc(Cl)c3)cc2CS1(=O)=O; [None]; [None]; [0]
+OCc1cccc(-c2cncc(Cl)c2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc([Zn]Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1']; ['OCc1cccc(Br)c1', 'OCc1cccc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'OCc1cccc(Cl)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(I)c1', 'OCc1cccc(I)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1']; [0.9999960660934448, 0.999993085861206, 0.9999563694000244, 0.9999308586120605, 0.999884843826294, 0.9998766779899597, 0.99855637550354, 0.9972184896469116, 0.9963172078132629, 0.9936195015907288, 0.9879487752914429, 0.9734266400337219, 0.9729881286621094, 0.96832275390625, 0.9327216148376465, 0.7532566785812378]
+Oc1cccc(-c2cncc(Cl)c2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc([Zn]Br)c1', 'OB(O)c1cncc(Cl)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; ['Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(Br)c1']; [0.999997079372406, 0.999996542930603, 0.9999812841415405, 0.9999804496765137, 0.9997951984405518, 0.999575674533844, 0.999352216720581, 0.9982713460922241, 0.9963811039924622, 0.9957053065299988, 0.9937219619750977, 0.9461795687675476, 0.8731691837310791]
+O=C([O-])Cc1cccc(-c2cncc(Cl)c2)c1; [None]; [None]; [0]
+CCCn1cnc(-c2cncc(Cl)c2)n1; [None]; [None]; [0]
+Clc1cncc(Nc2ccncc2)c1; ['Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Nc1cncc(Cl)c1', 'Nc1ccncc1', 'Ic1ccncc1', 'Brc1ccncc1', 'Clc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Clc1ccncc1', 'Fc1ccncc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'OB(O)c1ccncc1', 'OB(O)c1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Nc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1']; [0.9990693926811218, 0.9987173080444336, 0.9986327886581421, 0.9984484910964966, 0.9959943294525146, 0.9868564605712891, 0.9847948551177979, 0.9831836819648743, 0.9731662273406982, 0.955223798751831]
+CC(C)n1cc(-c2cncc(Cl)c2)nn1; ['C#Cc1cncc(Cl)c1', 'CC(C)n1ccnn1', 'CC(C)n1ccnn1', 'CC(C)n1ccnn1']; ['CC(C)N=[N+]=[N-]', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1']; [0.9999973773956299, 0.9999419450759888, 0.9999164342880249, 0.9996629357337952]
+Fc1ccccc1CNc1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Fc1ccccc1CBr', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Fc1ccccc1CCl', 'Nc1cncc(Cl)c1', 'Fc1cncc(Cl)c1', 'Nc1cncc(Cl)c1']; ['NCc1ccccc1F', 'Nc1cncc(Cl)c1', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'Nc1cncc(Cl)c1', 'OCc1ccccc1F', 'NCc1ccccc1F', 'O=Cc1ccccc1F']; [0.9999938607215881, 0.9999831914901733, 0.9999772310256958, 0.999878466129303, 0.9997779130935669, 0.999772310256958, 0.9995712041854858, 0.9995158910751343, 0.9966777563095093]
+Cn1ncc2cc(-c3cncc(Cl)c3)ccc21; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'Clc1cncc(I)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Cn1ncc2cc(I)ccc21', 'Clc1cncc(Cl)c1', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Cn1ncc2cc(Cl)ccc21', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc([Mg]Br)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc([Mg]Br)c1', 'Clc1cccnc1', 'Clc1cncc(I)c1']; ['Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'OB(O)c1cncc(Cl)c1', 'Cn1ncc2cc(B(O)O)ccc21', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'OB(O)c1cncc(Cl)c1', 'Cn1ncc2cc(I)ccc21', 'OB(O)c1cncc(Cl)c1', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2ccccc21']; [0.9999998807907104, 0.9999998807907104, 0.9999998211860657, 0.9999995231628418, 0.9999994039535522, 0.999997615814209, 0.9999971389770508, 0.9999921917915344, 0.9999896287918091, 0.9999880790710449, 0.9999862909317017, 0.9999783039093018, 0.9999653697013855, 0.9999340176582336, 0.9999020099639893, 0.9993211627006531, 0.9993106722831726, 0.9992924928665161, 0.998998761177063, 0.9943063259124756, 0.9695879220962524, 0.7910035252571106, 0.7571972012519836]
+Clc1cncc(-c2ccc(-c3cn[nH]c3)cc2)c1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Brc1ccc(-c2cn[nH]c2)cc1', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Clc1ccc(-c2cn[nH]c2)cc1', 'Brc1cn[nH]c1']; ['Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'Clc1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(-c2ccccc2)c1']; [0.9999994039535522, 0.9999991655349731, 0.9999986886978149, 0.9999929666519165, 0.9999854564666748, 0.9996711015701294, 0.9992426037788391, 0.9985491633415222, 0.99300616979599, 0.9900000095367432, 0.9766175746917725, 0.8496540784835815]
 COc1cc(-c2cncc(Cl)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cncc(Cl)c2)nn1; [None]; [None]; [0]
+CSc1nc(-c2cncc(Cl)c2)c[nH]1; [None]; [None]; [0]
+Clc1cncc(-c2csc3ncncc23)c1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'OB(O)c1cncc(Cl)c1']; [0.9999914169311523, 0.9993898868560791]
+Nc1nc(-c2cncc(Cl)c2)cs1; ['CC(=O)c1cncc(Cl)c1', None, 'Nc1nc(Cl)cs1']; ['NC(N)=S', None, 'OB(O)c1cncc(Cl)c1']; [0.9999812245368958, 0, 0.9987110495567322]
+Clc1cncc(-c2cc3ccccc3[nH]2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'Ic1cc2ccccc2[nH]1', 'Clc1cc2ccccc2[nH]1', 'CC(=O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; ['Ic1cc2ccccc2[nH]1', 'Clc1cc2ccccc2[nH]1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'NNc1ccccc1', 'OB(O)c1cc2ccccc2[nH]1']; [0.9999961853027344, 0.999929666519165, 0.9998877048492432, 0.9950743913650513, 0.9911879301071167, 0.972303569316864, 0.9584540128707886]
+CC(C)c1oncc1-c1cncc(Cl)c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cncc(Cl)c2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'N#CCCc1cccc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1']; ['N#CCCc1cccc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; [0.9999960660934448, 0.9996745586395264, 0.9994999170303345, 0.9974004030227661, 0.9961763620376587, 0.9827719330787659]
+CCC(=O)Nc1ccc(-c2cncc(Cl)c2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1']; [0.9999991655349731, 0.9999979734420776, 0.9999570846557617]
+Clc1cncc(Oc2ccccn2)c1; ['Brc1ccccn1', 'Clc1ccccn1', 'Fc1ccccn1', 'Ic1ccccn1', 'Clc1cncc(Br)c1', 'Fc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1']; ['Oc1cncc(Cl)c1', 'Oc1cncc(Cl)c1', 'Oc1cncc(Cl)c1', 'Oc1cncc(Cl)c1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1']; [0.9996778964996338, 0.9995110034942627, 0.9991564750671387, 0.9982397556304932, 0.9966238737106323, 0.9949798583984375, 0.9899778366088867, 0.9356567859649658]
+Nc1ncncc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Nc1ncncc1I', 'Nc1ncncc1Br', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', None, 'Nc1ncncc1Cl', 'Clc1cncc(Br)c1']; ['Nc1ncncc1I', 'Nc1ncncc1Br', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Nc1ncncc1I', 'Nc1ncncc1Br', None, 'OB(O)c1cncc(Cl)c1', 'Nc1ncncc1Br']; [0.9999997615814209, 0.9999991655349731, 0.9999136328697205, 0.9998838901519775, 0.9998047351837158, 0.9997425079345703, 0, 0.9966927766799927, 0.9847182035446167]
+Fc1ccc(-c2cncc(Cl)c2)c(C(F)(F)F)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc([Zn]Br)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Clc1cncc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Clc1cccnc1']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1cncc(Cl)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1']; [0.9999982118606567, 0.9999750852584839, 0.9999524354934692, 0.9999427795410156, 0.9999309778213501, 0.9999299645423889, 0.9999223947525024, 0.9998904466629028, 0.9997286796569824, 0.9995003938674927, 0.999416172504425, 0.9994038343429565, 0.999321460723877, 0.9988977313041687, 0.9984121322631836, 0.9981290102005005, 0.7867045402526855]
+CCNc1nc2ccc(-c3cncc(Cl)c3)cc2s1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cncc(Cl)c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.9999991655349731, 0.9999988675117493, 0.9999955892562866, 0.9999909400939941, 0.9984150528907776, 0.9981720447540283, 0.9979148507118225, 0.9950345754623413, 0.9943209886550903, 0.9896232485771179, 0.9811418652534485]
 Clc1cncc(CCc2c[nH]nn2)c1; [None]; [None]; [0]
+O=C(Nc1cncc(Cl)c1)c1c(Cl)cccc1Cl; ['Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'O=C(Cl)c1c(Cl)cccc1Cl', 'Clc1cncc(Br)c1', 'NC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'COC(=O)c1c(Cl)cccc1Cl', 'Clc1cncc(Cl)c1', 'NC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'O=[N+]([O-])c1cncc(Cl)c1', 'NC(=O)c1c(Cl)cccc1Cl', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'NC(=O)c1c(Cl)cccc1Cl', 'O=[N+]([O-])c1cncc(Cl)c1']; [0.9999874234199524, 0.9999583959579468, 0.9998800754547119, 0.9998587369918823, 0.9997231960296631, 0.9997011423110962, 0.9993240237236023, 0.9989678859710693, 0.9985195398330688, 0.9912546873092651]
+CS(=O)(=O)C1CCN(c2cncc(Cl)c2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Fc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Cl)c1']; [0.9998835325241089, 0.9998793601989746, 0.999303936958313, 0.998342752456665, 0.9970906972885132]
+Cn1cc(-c2cncc(Cl)c2)c2ccccc21; ['Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Cn1ccc2ccccc21', 'Clc1cncc(I)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'OB(O)c1cncc(Cl)c1', 'Cn1ccc2ccccc21']; [0.9999974370002747, 0.9999459981918335, 0.9985631704330444, 0.9972503185272217]
+NC(=O)CCCc1cncc(Cl)c1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cncc(Cl)c1; [None]; [None]; [0]
-O=C(Nc1cncc(Cl)c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+COc1ccc(-c2cncc(Cl)c2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'COc1ccc([Mg]Br)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccccc1Cl', 'COc1ccccc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Clc1cncc(Br)c1', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'COc1ccc(Cl)cc1Cl', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc([Zn]Br)c1', 'COc1ccc(I)cc1Cl', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'COc1ccc(Br)cc1Cl', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cccnc1']; [1.0, 0.9999998807907104, 0.9999997615814209, 0.999998927116394, 0.9999966621398926, 0.9999920725822449, 0.9999920129776001, 0.9999904036521912, 0.9999712705612183, 0.9999665021896362, 0.9999648928642273, 0.9999223947525024, 0.9998906850814819, 0.999821126461029, 0.9997686147689819, 0.9997467994689941, 0.9991352558135986, 0.9975786209106445, 0.997236430644989, 0.98981773853302, 0.973676860332489, 0.9713137149810791, 0.7943568825721741]
 CC(C)(COc1cncc(Cl)c1)S(C)(=O)=O; [None]; [None]; [0]
+CCCn1cc(-c2cncc(Cl)c2)cn1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1']; ['CCCn1cc(I)cn1', 'Clc1cncc(Br)c1', 'CCCn1cc(Br)cn1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.9999972581863403, 0.9999890327453613, 0.999984622001648, 0.9999833106994629, 0.9999551773071289, 0.9997735619544983, 0.9995790719985962, 0.998668909072876, 0.995331346988678]
+O=c1cc(-c2cncc(Cl)c2)cc[nH]1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'O=c1cc(I)cc[nH]1', 'Clc1cncc(Br)c1', 'O=c1cc(Br)cc[nH]1']; ['Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'O=c1cc(I)cc[nH]1', 'OB(O)c1cncc(Cl)c1']; [0.9999932646751404, 0.9998912215232849, 0.9975980520248413, 0.9971112012863159, 0.9951618909835815]
+COc1cc(CCc2cncc(Cl)c2)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1']; ['Clc1cncc(Br)c1']; [0.983440101146698]
+CCNS(=O)(=O)c1ccccc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1']; ['CCNS(=O)(=O)c1ccccc1Br', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1']; [0.9999986290931702, 0.9990501403808594, 0.9683473706245422, 0.9468165636062622]
+C[S@](=O)c1ccc(-c2cncc(Cl)c2)cc1; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1']; ['Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1']; [0.99988853931427, 0.997319221496582]
+O=C1CCc2cccc(-c3cncc(Cl)c3)c21; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21', 'Clc1cncc([Mg]Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'O=C1CCc2cccc(Cl)c21']; ['O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'OB(O)c1cncc(Cl)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21', 'OB(O)c1cncc(Cl)c1']; [0.9999997019767761, 0.9999748468399048, 0.9994021058082581, 0.9988483190536499, 0.994522213935852, 0.991195797920227, 0.9893768429756165, 0.9870838522911072]
+CC(C)(N)c1ccc(-c2cncc(Cl)c2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1', 'CC(C)(N)c1ccccc1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1']; [1.0, 0.9999980330467224, 0.9999596476554871, 0.9984923601150513, 0.9981666803359985, 0.9809809923171997, 0.9693022966384888, 0.7524994015693665]
+Clc1cncc(-c2cnn3ccccc23)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Brc1cnn2ccccc12', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cnn2ccccc12', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12', 'Brc1cnn2ccccc12', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Brc1cnn2ccccc12', 'Clc1cncc(Br)c1']; ['Ic1cnn2ccccc12', 'Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Ic1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'Ic1cnn2ccccc12', 'c1ccn2nccc2c1', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cncc(Cl)c1', 'O=C(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'O=C(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'O=C(O)c1cnn2ccccc12', 'c1ccn2nccc2c1', 'Clc1cncc(Br)c1', 'c1ccn2nccc2c1']; [1.0, 0.9999996423721313, 0.9999995827674866, 0.999998152256012, 0.9999912977218628, 0.9999833106994629, 0.9999757409095764, 0.9999643564224243, 0.999958872795105, 0.9999195337295532, 0.9997854828834534, 0.9997742176055908, 0.9997572898864746, 0.9996519088745117, 0.999618649482727, 0.999296247959137, 0.9987044334411621, 0.9982074499130249, 0.9975267648696899, 0.9921942353248596, 0.9891254305839539, 0.9513236284255981]
+C[C@@H](Oc1cncc(Cl)c1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Oc1cncc(Cl)c1', 'Oc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Fc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Nc1cncc(Cl)c1', 'Clc1cncc(Cl)c1']; [0.9994907975196838, 0.9994907975196838, 0.99942946434021, 0.9988646507263184, 0.9986833930015564, 0.9986826777458191, 0.9923686981201172]
+CCN(CC)c1cncc(Cl)c1; ['CCNCC', 'CCNCC', None, None, None, None, 'CCNCC']; ['O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Fc1cncc(Cl)c1', None, None, None, None, 'Clc1cncc(Br)c1']; [0.943837583065033, 0.9422202706336975, 0, 0, 0, 0, 0.7795147895812988]
+COc1ccncc1Nc1cncc(Cl)c1; ['COc1ccncc1F', 'COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1B(O)O', 'COc1ccncc1I', 'COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1Cl', 'COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1N']; ['Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Fc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1']; [0.999416172504425, 0.9989587068557739, 0.9988505840301514, 0.9982713460922241, 0.9982496500015259, 0.998088538646698, 0.9980875253677368, 0.9979263544082642, 0.9976846575737, 0.9958710670471191, 0.9861056804656982]
 [NH3+]Cc1ccc(-c2cncc(Cl)c2)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1cncc(Cl)c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+Clc1cncc(Nc2cnccc2-c2ccccc2)c1; ['Nc1cnccc1-c1ccccc1', 'Brc1cnccc1-c1ccccc1', 'Nc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Nc1cnccc1-c1ccccc1', 'Clc1cncc(I)c1', 'Fc1cncc(Cl)c1', 'Clc1cncc(Cl)c1']; ['OB(O)c1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'OB(O)c1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.999171257019043, 0.9975157976150513, 0.9956073760986328, 0.9946985244750977, 0.987968921661377, 0.9867865443229675, 0.9403823614120483, 0.9354036450386047]
+Clc1cncc(Nc2cnc3ccccc3c2)c1; ['Nc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Nc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Clc1cncc(Br)c1', 'Nc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Clc1cncc(Cl)c1']; ['OB(O)c1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'OB(O)c1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Nc1cnc2ccccc2c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Nc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Nc1cnc2ccccc2c1']; [0.999525249004364, 0.9979901313781738, 0.9974451065063477, 0.9967203736305237, 0.9962272644042969, 0.9949509501457214, 0.9890903234481812, 0.9675858616828918, 0.9243820309638977]
+CC(C)(C)c1ccc(-c2cncc(Cl)c2)cc1; ['CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc([B-](F)(F)F)cc1', 'CC(C)(C)c1ccc([Mg]Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc([Mg]Br)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc([Zn]Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.9999997615814209, 0.9999996423721313, 0.9999995827674866, 0.9999995231628418, 0.9999898672103882, 0.9999830722808838, 0.9999574422836304, 0.9999561309814453, 0.9998637437820435, 0.9998081922531128, 0.9997645616531372, 0.9996905326843262, 0.999560534954071, 0.9992631673812866, 0.9990102052688599, 0.9986965656280518, 0.9975066184997559, 0.996862530708313, 0.9958640336990356, 0.9928134679794312, 0.9827194213867188, 0.9674462080001831]
+O=c1[nH]ccc2oc(-c3cncc(Cl)c3)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cncc(Cl)c3)cc12; [None]; [None]; [0]
-CN(c1cncc(Cl)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-Clc1cncc(Nc2cnccc2-c2ccccc2)c1; [None]; [None]; [0]
+Clc1cncc(-c2cnc3[nH]ccc3c2)c1; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1cncc(I)c1', 'Ic1cnc2[nH]ccc2c1', 'Clc1cncc(Br)c1', 'Brc1cnc2[nH]ccc2c1', 'Clc1cncc(Cl)c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'Ic1cnc2[nH]ccc2c1', 'Clc1cncc(I)c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.9999996423721313, 0.9999990463256836, 0.9999980330467224, 0.9999957084655762, 0.9999831318855286, 0.9999607801437378, 0.9999498128890991, 0.9998390674591064, 0.9997725486755371, 0.9997036457061768, 0.9972814917564392]
+COc1cccc(F)c1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1I', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1', 'COc1cccc(F)c1', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I']; ['COc1cccc(F)c1Br', 'Clc1cncc(Br)c1', 'COc1cccc(F)c1I', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'COc1cccc(F)c1Br', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'COc1cccc(F)c1I', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cccnc1', 'Clc1cccnc1']; [1.0, 0.9999998211860657, 0.9999995231628418, 0.9999983310699463, 0.9999955892562866, 0.9999857544898987, 0.9999839663505554, 0.9999768733978271, 0.9999641180038452, 0.9999630451202393, 0.9999505281448364, 0.9999443888664246, 0.9999376535415649, 0.9999140501022339, 0.9997698068618774, 0.9993337392807007, 0.9974632263183594, 0.9968538284301758, 0.9389722347259521, 0.9285380840301514]
+CC(C)Oc1cncc(-c2cncc(Cl)c2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'Clc1cncc(I)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'F[B-](F)(F)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.9999974966049194, 0.9999972581863403, 0.9999916553497314, 0.9999277591705322, 0.9998918771743774, 0.9998230934143066, 0.999608039855957, 0.9993740320205688, 0.9971049427986145, 0.9966757297515869, 0.9963788986206055, 0.9907225370407104]
+CNC(=O)c1c(F)cccc1-c1cncc(Cl)c1; [None]; [None]; [0]
+Clc1cncc(-c2c[nH]c3cnccc23)c1; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Brc1c[nH]c2cnccc12', 'Ic1c[nH]c2cnccc12', 'Clc1cncc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Brc1c[nH]c2cnccc12']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'c1cc2cc[nH]c2cn1', 'F[B-](F)(F)c1cncc(Cl)c1']; [0.9999697208404541, 0.9999414682388306, 0.999137282371521, 0.9986528158187866, 0.9680255651473999, 0.9616698026657104, 0.9424178600311279, 0.9346945285797119, 0.9104741811752319, 0.8754246234893799]
+CNS(=O)(=O)c1ccc(-c2cncc(Cl)c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1']; [0.9999935626983643, 0.9999908804893494, 0.9999614953994751, 0.9999344348907471, 0.9998458623886108, 0.9979034662246704, 0.9954818487167358, 0.9026864171028137, 0.9004642963409424]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cncc(Cl)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [0.9999996423721313, 0.999998927116394, 0.9999970197677612, 0.9999802112579346, 0.9999555945396423, 0.9999535083770752, 0.9984726905822754, 0.9984148740768433, 0.9842180609703064]
+OCc1ccn(-c2cncc(Cl)c2)n1; ['Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Fc1cncc(Cl)c1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.999379575252533, 0.9991871118545532, 0.9985867738723755, 0.9971669912338257]
+Clc1cncc(-c2ccc(N3CCOCC3)cc2)c1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1cncc(I)c1', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Clc1cncc(Cl)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1ccc(N2CCOCC2)cc1', 'Clc1cncc(I)c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1cncc(Cl)c1', 'Ic1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1cncc(Br)c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1']; [1.0, 0.9999996423721313, 0.9999994039535522, 0.9999992847442627, 0.9999948740005493, 0.9999929666519165, 0.9999886751174927, 0.9999874830245972, 0.9999809265136719, 0.9999801516532898, 0.9999721646308899, 0.9999691843986511, 0.999923050403595, 0.9998806715011597, 0.9998756647109985, 0.9997413158416748, 0.999550461769104, 0.9991203546524048]
 C[C@H](Nc1cncc(Cl)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2cncc(Cl)c2)n1; [None]; [None]; [0]
-Clc1cncc(Cc2nnc3ccc(-c4ccccc4)nn23)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cncc(Cl)c2)cc1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1']; ['CS(=O)(=O)c1ccc(I)cc1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Clc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'CS(=O)(=O)c1ccc(I)cc1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc([Mg]Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'CS(=O)(=O)c1ccc(Br)cc1']; [1.0, 0.9999998807907104, 0.9999997019767761, 0.9999991655349731, 0.9999921321868896, 0.9999765157699585, 0.999970555305481, 0.9999644160270691, 0.9999376535415649, 0.999400794506073, 0.9990194439888, 0.9981789588928223, 0.9976514577865601, 0.9971843957901001, 0.9945244789123535, 0.9589523077011108, 0.9552602767944336]
+Cc1cc(-c2cncc(Cl)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+C[C@H](Nc1cncc(Cl)c1)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Fc1cncc(Cl)c1', 'Clc1cncc(Cl)c1']; [0.9995326995849609, 0.9970545768737793, 0.9929713606834412, 0.9837385416030884]
+C[C@@H](Nc1cncc(Cl)c1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Fc1cncc(Cl)c1', 'Clc1cncc(Cl)c1']; [0.9995326995849609, 0.9970545768737793, 0.9929713606834412, 0.9837385416030884]
+CC1(c2cncc(Cl)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+OCCc1cn(-c2cncc(Cl)c2)cn1; ['Clc1cncc(I)c1', 'Clc1cncc(Br)c1']; ['OCCc1c[nH]cn1', 'OCCc1c[nH]cn1']; [0.9966052770614624, 0.9914607405662537]
+Clc1cncc(-n2ncc3ccccc32)c1; ['Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Fc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Fc1cncc(Cl)c1', 'Nc1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'Cc1ccccc1N']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2n[nH]cc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'OB(O)c1cncc(Cl)c1']; [0.9996073246002197, 0.9992496967315674, 0.9988006353378296, 0.9972046613693237, 0.9970260262489319, 0.9964548945426941, 0.9917428493499756, 0.9886279106140137]
+Oc1ccc2nc(-c3cncc(Cl)c3)[nH]c2c1; ['Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N', 'CCOC(=O)c1cncc(Cl)c1', 'Nc1ccc(O)cc1[N+](=O)[O-]']; ['O=Cc1cncc(Cl)c1', 'O=C(O)c1cncc(Cl)c1', 'Nc1ccc(O)cc1N', 'O=Cc1cncc(Cl)c1']; [0.9945312738418579, 0.9776424765586853, 0.9709973335266113, 0.8936338424682617]
+Fc1cccc(Cl)c1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Clc1cncc(I)c1', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Clc1cncc(Br)c1', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(I)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Fc1cccc(Cl)c1Br', 'Clc1cncc([Mg]Br)c1', 'Clc1cncc(Br)c1', 'Fc1cccc(Cl)c1I', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Fc1cccc(Cl)c1Br', 'Clc1cncc(Cl)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Fc1cccc(Cl)c1Cl', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cccnc1', 'Clc1cccnc1']; ['Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'Clc1cncc(Br)c1', 'Fc1cccc(Cl)c1Br', 'Clc1cncc(I)c1', 'Fc1cccc(Cl)c1I', 'Clc1cncc(Cl)c1', 'Fc1cccc(Cl)c1Cl', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br', 'OB(O)c1cncc(Cl)c1', 'Fc1cccc(Cl)c1Br', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1cncc(Cl)c1', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1cncc(Cl)c1', 'Fc1cccc(Cl)c1', 'Fc1cccc(Cl)c1', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I']; [1.0, 1.0, 1.0, 1.0, 0.9999997615814209, 0.9999994039535522, 0.999998927116394, 0.999997615814209, 0.9999975562095642, 0.9999966621398926, 0.9999962449073792, 0.9999923706054688, 0.9999918937683105, 0.9999871253967285, 0.9999870657920837, 0.9999833106994629, 0.9999698996543884, 0.9999414682388306, 0.9999250173568726, 0.9996153116226196, 0.9844279289245605, 0.9773628115653992, 0.9552193880081177, 0.9104611873626709]
+CN(c1cncc(Cl)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+COc1ccc(-c2cncc(Cl)c2)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc([Mg]Br)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1cccc(OC)c1', 'COc1cccc(OC)c1']; ['Clc1cncc(Br)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'Clc1cncc(I)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'COc1ccc(Cl)c(OC)c1', 'Clc1cncc(I)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'COc1ccc(I)c(OC)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'COc1ccc(Br)c(OC)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1']; [0.9999938011169434, 0.9999916553497314, 0.9999886155128479, 0.9999539852142334, 0.9998211860656738, 0.9997676014900208, 0.999697208404541, 0.9995497465133667, 0.9995371103286743, 0.9994535446166992, 0.9994341135025024, 0.9993206262588501, 0.9988439083099365, 0.998304545879364, 0.9979873895645142, 0.9845902919769287, 0.9827507734298706, 0.9819966554641724, 0.966385006904602, 0.9055500030517578, 0.7502237558364868]
+Clc1cncc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1cncc(Cl)c1; ['Clc1cncc(I)c1', 'Fc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.9997532367706299, 0.9992897510528564, 0.9991699457168579, 0.9912059307098389]
+CC(C)n1cnnc1-c1cncc(Cl)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cncc(Cl)c2)cc1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Clc1cncc(I)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Clc1cncc(Cl)c1', 'Clc1cncc([Mg]Br)c1', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'Clc1cncc([Mg]Br)c1']; ['O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Cl)c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Cl)c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(F)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'OB(O)c1cncc(Cl)c1', 'O=C(c1ccccc1)c1ccc(Cl)cc1']; [0.9999972581863403, 0.9999959468841553, 0.9999936819076538, 0.9999924898147583, 0.999786376953125, 0.9997732639312744, 0.9997645616531372, 0.9997165203094482, 0.9996590614318848, 0.9996280670166016, 0.999498188495636, 0.9994535446166992, 0.9968219995498657, 0.9909378886222839, 0.9848676919937134, 0.93989098072052, 0.934435248374939, 0.8862260580062866, 0.8285152316093445]
+Clc1cncc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
 O=S(=O)(Cc1cncc(Cl)c1)NCc1ccccn1; [None]; [None]; [0]
+Clc1cncc(Cc2nnc3ccc(-c4ccccc4)nn23)c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cncc(Cl)c2)[nH]1; [None]; [None]; [0]
+Clc1cncc(-c2cn(Cc3ccccc3)nn2)c1; ['BrCc1ccccc1', 'C#Cc1cncc(Cl)c1', 'C#Cc1cncc(Cl)c1', 'Clc1cncc(Br)c1']; ['C#Cc1cncc(Cl)c1', 'ClCc1ccccc1', '[N-]=[N+]=NCc1ccccc1', 'c1ccc(Cn2ccnn2)cc1']; [1.0, 0.9999997615814209, 0.9999997019767761, 0.9998378753662109]
+CC(=O)N[C@@H]1CC[C@@H](c2cncc(Cl)c2)CC1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cncc(Cl)c2)n1; [None]; [None]; [0]
+Nc1nnc(-c2cncc(Cl)c2)s1; ['NNC(N)=S']; ['O=C(O)c1cncc(Cl)c1']; [0.9998172521591187]
+O=C(CCc1cncc(Cl)c1)NCc1ccccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cncc(Cl)c2)s1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CNC(=O)c1ccc(Br)s1']; ['CNC(=O)c1ccc(Br)s1', 'OB(O)c1cncc(Cl)c1']; [0.9999988079071045, 0.9999428987503052]
+CCc1cc(-c2cncc(Cl)c2)nc(N)n1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CCc1cc(Cl)nc(N)n1', 'CCc1cc(Cl)nc(N)n1']; ['CCc1cc(Cl)nc(N)n1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1']; [0.9999994039535522, 0.9993969798088074, 0.9989957213401794]
+CCCCc1cc(-c2cncc(Cl)c2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cncc(Cl)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cncc(Cl)c3)nc2NC1=O; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2cncc(Cl)c2)c(F)c1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cncc(Cl)c2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1ccccn1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1']; [0.9999994039535522, 0.999987006187439, 0.9999649524688721, 0.9996362328529358, 0.9977326393127441, 0.7703362703323364]
+Clc1cncc(-c2nc3ccccc3s2)c1; ['Brc1nc2ccccc2s1', 'Nc1ccccc1I', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Clc1cncc(I)c1', 'NCc1cncc(Cl)c1', 'N#Cc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Brc1nc2ccccc2s1', 'Clc1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'O=Cc1cncc(Cl)c1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'O=Cc1cncc(Cl)c1', 'Clc1nc2ccccc2s1', 'O=Cc1cncc(Cl)c1', 'OCc1cncc(Cl)c1', 'O=C(O)c1cncc(Cl)c1', 'c1ccc2scnc2c1', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'c1ccc2scnc2c1']; [0.9999997615814209, 0.9999994039535522, 0.9999992847442627, 0.9999985098838806, 0.9999978542327881, 0.9999907612800598, 0.9999717473983765, 0.9999665021896362, 0.9999642372131348, 0.9999631643295288, 0.9999578595161438, 0.9999440908432007, 0.9999423027038574, 0.9998860955238342, 0.999093770980835, 0.9978018999099731]
+Nc1cncc(-c2cncc(Cl)c2)n1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1']; ['Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1']; [0.9999989867210388, 0.9999908208847046, 0.9998384714126587, 0.9983935356140137]
+Clc1cncc(-c2cccc3ccsc23)c1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cccc2ccsc12', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Clc1cncc(I)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Br)c1', 'Brc1cccc2ccsc12', 'Brc1cccc2ccsc12', 'Clc1cccc2ccsc12', 'Clc1cncc(Cl)c1', 'Brc1cccc2ccsc12']; ['Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cccc2ccsc12', 'Clc1cncc(Br)c1']; [0.9999997615814209, 0.9999996423721313, 0.9999954104423523, 0.9999905824661255, 0.998554527759552, 0.9968985319137573, 0.9958570599555969, 0.995221734046936, 0.9933250546455383, 0.9911293983459473, 0.987460732460022, 0.8551745414733887]
+CC1(C)Oc2ccc(-c3cncc(Cl)c3)nc2NC1=O; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2cccnc2NC1=O']; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1']; [0.9999603033065796, 0.9923967123031616, 0.9374726414680481, 0.8675639629364014]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cncc(Cl)c3)c2)cc1; [None]; [None]; [0]
-Clc1cncc(-c2cccc3nnsc23)c1; [None]; [None]; [0]
-COc1ccc(Oc2cncc(Cl)c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cncc(Cl)c2)n1; [None]; [None]; [0]
+Clc1cncc(-c2cccc3nnsc23)c1; ['Brc1cccc2nnsc12', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Brc1cccc2nnsc12', 'Brc1cccc2nnsc12', 'Clc1cccc2nnsc12', 'Brc1cccc2nnsc12', 'Brc1cccc2nnsc12', 'Brc1cccc2nnsc12']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1cccc2nnsc12', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc([Mg]Br)c1']; [1.0, 0.9999951124191284, 0.9998623132705688, 0.9995369911193848, 0.9972667694091797, 0.9921340942382812, 0.991509199142456, 0.9864901304244995]
+C[C@@H2]NC(=O)N1CCC(c2cncc(Cl)c2)CC1; [None]; [None]; [0]
+Nc1nc(-c2cncc(Cl)c2)nc2ccccc12; ['Nc1nc(Cl)nc2ccccc12', 'N#Cc1ccccc1Br']; ['OB(O)c1cncc(Cl)c1', 'O=Cc1cncc(Cl)c1']; [0.9995957016944885, 0.9991064071655273]
+Clc1cncc(-c2ncc3ccccc3n2)c1; ['Brc1ncc2ccccc2n1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Brc1ncc2ccccc2n1', 'Nc1ccccc1CO', 'BrCc1ccccc1Br', 'NCc1ccccc1N', 'Clc1cncc(Br)c1', 'Clc1ncc2ccccc2n1', 'NCc1ccccc1N', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1ncc2ccccc2n1']; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1ncc2ccccc2n1', 'OB(O)c1cncc(Cl)c1', 'O=Cc1cncc(Cl)c1', 'O=Cc1cncc(Cl)c1', 'O=Cc1cncc(Cl)c1', 'Clc1ncc2ccccc2n1', 'OB(O)c1cncc(Cl)c1', 'OCc1cncc(Cl)c1', 'Clc1ncc2ccccc2n1', 'c1ccc2ncncc2c1', 'F[B-](F)(F)c1cncc(Cl)c1']; [0.9999991655349731, 0.9999860525131226, 0.9994553327560425, 0.9991872310638428, 0.9984961152076721, 0.9982610940933228, 0.9943342208862305, 0.9938580989837646, 0.9930267333984375, 0.9918422698974609, 0.9895130395889282, 0.980615496635437]
+[NH3+]Cc1ccc(Oc2cncc(Cl)c2)c(F)c1; [None]; [None]; [0]
+Clc1cncc(-c2ncc3cc[nH]c3n2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Clc1ncc2cc[nH]c2n1']; ['Clc1ncc2cc[nH]c2n1', 'OB(O)c1cncc(Cl)c1']; [0.9999908208847046, 0.9977388978004456]
+Clc1cncc(-c2c[nH]c3cccnc23)c1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'Clc1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12']; ['Clc1cncc(Br)c1', 'Ic1c[nH]c2cccnc12', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'OB(O)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'F[B-](F)(F)c1cncc(Cl)c1']; [0.999994158744812, 0.9999905824661255, 0.9999493360519409, 0.9984729290008545, 0.9980616569519043, 0.995926022529602, 0.9829851388931274, 0.970770001411438]
+CC(=O)Nc1ncc(-c2cncc(Cl)c2)[nH]1; [None]; [None]; [0]
+COc1ccc(Oc2cncc(Cl)c2)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(B(O)O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F', 'COc1ccc([N+](=O)[O-])c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Oc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Fc1cncc(Cl)c1', 'Oc1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'Oc1cncc(Cl)c1', 'Oc1cncc(Cl)c1', 'O=[N+]([O-])c1cncc(Cl)c1']; [0.9999642372131348, 0.9998149871826172, 0.9992877244949341, 0.9992707967758179, 0.9962620735168457, 0.9960842728614807, 0.9946533441543579, 0.9850621223449707, 0.9609503149986267, 0.766026496887207]
+COc1ccc(C#N)cc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1I', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Cl', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1']; ['COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'COc1ccc(C#N)cc1Cl', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'COc1ccc(C#N)cc1I', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'COc1ccc(C#N)cc1Br', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'Clc1cccnc1', 'Clc1cncc(Br)c1']; [0.9999995231628418, 0.9999988079071045, 0.9999959468841553, 0.9999925494194031, 0.9999839067459106, 0.9999819993972778, 0.9999814629554749, 0.9999794960021973, 0.9999666213989258, 0.9999289512634277, 0.9999154210090637, 0.999894917011261, 0.9998908638954163, 0.999869704246521, 0.9997482895851135, 0.999417781829834, 0.9993600249290466, 0.9992916584014893, 0.9992055892944336, 0.9985005855560303, 0.9975554943084717, 0.9224522113800049, 0.7716425657272339]
+COc1ccc(OC)c(-c2cncc(Cl)c2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'CCCC[Sn](CCCC)(CCCC)c1cncc(Cl)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)c(I)c1']; ['COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(I)c1', 'Clc1cncc(I)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'COc1ccc(OC)c(Br)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cccnc1']; [0.9999992251396179, 0.9999984502792358, 0.9999808073043823, 0.9999665021896362, 0.9999657869338989, 0.9999586343765259, 0.9999346137046814, 0.9998868703842163, 0.9998742341995239, 0.99984210729599, 0.9997231960296631, 0.9995229244232178, 0.9990782141685486, 0.9988009929656982, 0.9981789588928223, 0.9972277879714966, 0.9968274235725403, 0.9890333414077759, 0.9122809767723083, 0.9065479040145874, 0.7811439037322998]
+COc1ncccc1-c1cncc(Cl)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1I', 'COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1Br', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'COc1ncccc1Cl', 'COc1ccccn1', 'COc1ccccn1', 'COc1ncccc1I', 'COc1ncccc1Br']; ['COc1ncccc1Br', 'Clc1cncc(Br)c1', 'COc1ncccc1I', 'Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(I)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F', 'Clc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'F[B-](F)(F)c1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Cl)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(I)c1', 'Clc1cccnc1', 'Clc1cccnc1']; [0.9999995827674866, 0.9999991655349731, 0.9999988079071045, 0.9999868273735046, 0.9999797344207764, 0.9999445080757141, 0.9998365640640259, 0.9998284578323364, 0.9995763301849365, 0.9990964531898499, 0.9981126189231873, 0.9977729916572571, 0.9973817467689514, 0.9952083826065063, 0.9877008199691772, 0.8855992555618286, 0.884941577911377, 0.7971943020820618, 0.7715722322463989]
+OCCn1cnc(-c2cncc(Cl)c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cncc(Cl)c2)cnn1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cncc(Cl)c2)c1; ['CC1(C)OB(c2cncc(Cl)c2)OC1(C)C', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['CN(C)S(=O)(=O)c1cccc(Br)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(I)c1', 'OB(O)c1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Clc1cncc(Br)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F']; [0.9999983906745911, 0.999997615814209, 0.9999583959579468, 0.999947726726532, 0.9996358752250671, 0.9991660118103027, 0.9986131191253662, 0.9946627616882324, 0.9934994578361511, 0.9853298664093018]
+Clc1cncc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; ['Clc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Clc1cncc(Cl)c1', 'Fc1cncc(Cl)c1', 'O=S(=O)(Oc1cncc(Cl)c1)C(F)(F)F']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9999167919158936, 0.999649703502655, 0.9977969527244568, 0.9976353645324707, 0.9975042343139648]
+Clc1cncc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Clc1cncc(Br)c1', 'Fc1cncc(Cl)c1', 'Clc1cncc(I)c1', 'Clc1cncc(Cl)c1']; [0.9997857809066772, 0.9996969699859619, 0.99931800365448, 0.9908826351165771]
 O=C(Nc1cccc(-c2cncc(Cl)c2)c1)C1CCNCC1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cncc(Cl)c2)CC1; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 CCOc1ccccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc3c(O)cncc3s2)[nH]1; [None]; [None]; [0]
+COc1ccc(F)cc1[C@@H](C)c1cc2c(O)cncc2s1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Oc1cncc2sc(-c3ccnc4ccccc34)cc12; [None]; [None]; [0]
 CP(C)(=O)c1ccccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Oc1cncc2sc(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
-Oc1cncc2sc(-c3ccccc3Br)cc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cc3c(O)cncc3s2)[nH]1; [None]; [None]; [0]
+Oc1cncc2sc(-c3ccnc4ccccc34)cc12; [None]; [None]; [0]
 Oc1cncc2sc(-c3ccccc3OC(F)(F)F)cc12; [None]; [None]; [0]
+CCn1cc(-c2cc3c(O)cncc3s2)cn1; [None]; [None]; [0]
+Oc1cncc2sc(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
+Oc1cncc2sc(-c3cnn(Cc4ccccc4)c3)cc12; [None]; [None]; [0]
 O=C([O-])c1ccccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 NC(=O)c1ccccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Oc1cncc2sc(-c3cnn(Cc4ccccc4)c3)cc12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc4c(O)cncc4s3)cc2c1=O; [None]; [None]; [0]
 OCCn1cc(-c2cc3c(O)cncc3s2)cn1; [None]; [None]; [0]
+N[C@@H](c1ccco1)c1cc2c(O)cncc2s1; [None]; [None]; [0]
 Oc1cncc2sc(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc3c(O)cncc3s2)cs1; [None]; [None]; [0]
+Oc1cncc2sc(-c3cc(Cl)ccc3Cl)cc12; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cc3c(O)cncc3s2)c1)c1ccccc1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc3c(O)cncc3s2)cs1; [None]; [None]; [0]
 COc1cnc(-c2cc3c(O)cncc3s2)nc1; [None]; [None]; [0]
 Cc1ccc(-c2cc3c(O)cncc3s2)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 Oc1cncc2sc(-c3cnc4ccccn34)cc12; [None]; [None]; [0]
+Oc1cncc2sc(-c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
+Oc1cncc2sc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
 CNc1nc(C)c(-c2cc3c(O)cncc3s2)s1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cc3c(O)cncc3s2)s1; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Oc1cncc2sc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-Oc1cncc2sc(-c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc3c(O)cncc3s2)s1; [None]; [None]; [0]
+Oc1cncc2sc(-c3cccc(Br)c3)cc12; [None]; [None]; [0]
 Oc1cncc2sc(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
-Cc1c(-c2cc3c(O)cncc3s2)sc(=O)n1C; [None]; [None]; [0]
-Nc1nccc(-c2cc3c(O)cncc3s2)n1; [None]; [None]; [0]
-Oc1cncc2sc(-c3cnn4ncccc34)cc12; [None]; [None]; [0]
-COc1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
 Oc1cncc2sc(-c3ccc4ccccc4c3)cc12; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+Oc1cncc2sc(-c3cnn4ncccc34)cc12; [None]; [None]; [0]
+Nc1nccc(-c2cc3c(O)cncc3s2)n1; [None]; [None]; [0]
+Cc1c(-c2cc3c(O)cncc3s2)sc(=O)n1C; [None]; [None]; [0]
+CC(C)(C)c1cnc(Cc2cc3c(O)cncc3s2)o1; [None]; [None]; [0]
 Oc1cncc2sc(-c3cncc4ccccc34)cc12; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+Oc1cncc2sc(-c3c[nH]nc3C(F)(F)F)cc12; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc4c(O)cncc4s3)ccc21; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cc4c(O)cncc4s3)cc2)cn1; [None]; [None]; [0]
 Nc1[nH]nc2cc(-c3cc4c(O)cncc4s3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cc4c(O)cncc4s3)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4c(O)cncc4s3)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2cc3c(O)cncc3s2)n1; [None]; [None]; [0]
-Oc1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+Oc1cncc2sc(-c3ccc(-c4cn[nH]c4)cc3)cc12; [None]; [None]; [0]
 OCc1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
-COc1cc(-c2cc3c(O)cncc3s2)ccc1C(=O)[O-]; [None]; [None]; [0]
+Oc1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+CCCn1cnc(-c2cc3c(O)cncc3s2)n1; [None]; [None]; [0]
+Oc1cncc2sc(-c3csc4ncncc34)cc12; [None]; [None]; [0]
 CC(C)n1cc(-c2cc3c(O)cncc3s2)nn1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+COc1cc(-c2cc3c(O)cncc3s2)ccc1C(=O)[O-]; [None]; [None]; [0]
 CSc1nc(-c2cc3c(O)cncc3s2)c[nH]1; [None]; [None]; [0]
-Oc1cncc2sc(-c3csc4ncncc34)cc12; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cc4c(O)cncc4s3)cc2s1; [None]; [None]; [0]
 N#CCCc1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+Oc1cncc2sc(-c3cc4ccccc4[nH]3)cc12; [None]; [None]; [0]
+Oc1cncc2sc(-c3ccc(F)cc3C(F)(F)F)cc12; [None]; [None]; [0]
+Nc1ncncc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cc4c(O)cncc4s3)cc2s1; [None]; [None]; [0]
 CC[C@H](CO)c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Oc1cncc2sc(-c3ccc(F)cc3C(F)(F)F)cc12; [None]; [None]; [0]
+Oc1cncc2sc(Cc3c(F)cccc3F)cc12; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
-COc1ccc(-c2cc3c(O)cncc3s2)cc1Cl; [None]; [None]; [0]
-Cn1cc(-c2cc3c(O)cncc3s2)c2ccccc21; [None]; [None]; [0]
 Oc1cncc2sc(-c3cnn4ccccc34)cc12; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2cc3c(O)cncc3s2)cc1C(F)(F)F; [None]; [None]; [0]
+Cn1cc(-c2cc3c(O)cncc3s2)c2ccccc21; [None]; [None]; [0]
+COc1ccc(-c2cc3c(O)cncc3s2)cc1Cl; [None]; [None]; [0]
 CCCn1cc(-c2cc3c(O)cncc3s2)cn1; [None]; [None]; [0]
-O=c1cc(-c2cc3c(O)cncc3s2)cc[nH]1; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2cc3c(O)cncc3s2)cc1C(F)(F)F; [None]; [None]; [0]
 O=C1CCc2cccc(-c3cc4c(O)cncc4s3)c21; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+O=c1cc(-c2cc3c(O)cncc3s2)cc[nH]1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Cc2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+CN(c1ncccc1Cc1cc2c(O)cncc2s1)S(C)(=O)=O; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
 O=c1[nH]ccc2oc(-c3cc4c(O)cncc4s3)cc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cc4c(O)cncc4s3)cc12; [None]; [None]; [0]
-Oc1cncc2sc(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
+OC[C@H](c1ccccc1)c1cc2c(O)cncc2s1; [None]; [None]; [0]
 Oc1cncc2sc(-c3c[nH]c4cnccc34)cc12; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+Oc1cncc2sc(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
 Oc1cncc2sc(-c3cnc4[nH]ccc4c3)cc12; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)c1cc2c(O)cncc2s1; [None]; [None]; [0]
 CC1(c2cc3c(O)cncc3s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
-Oc1cncc2sc(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Oc1ncccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+Oc1cncc2sc(-c3c(F)cccc3Cl)cc12; [None]; [None]; [0]
 Oc1cncc2sc(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
-Oc1ccc2nc(-c3cc4c(O)cncc4s3)[nH]c2c1; [None]; [None]; [0]
-CSc1nc(C)c(-c2cc3c(O)cncc3s2)[nH]1; [None]; [None]; [0]
 COc1ccc(-c2cc3c(O)cncc3s2)c(OC)c1; [None]; [None]; [0]
 O=C(c1ccccc1)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc3c(O)cncc3s2)[nH]1; [None]; [None]; [0]
+Cc1cc(-c2cc3c(O)cncc3s2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 Oc1cncc2sc(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2cc3c(O)cncc3s2)n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc3c(O)cncc3s2)CC1; [None]; [None]; [0]
 Oc1cncc2sc(-c3cn(Cc4ccccc4)nn3)cc12; [None]; [None]; [0]
-CCCCc1cc(-c2cc3c(O)cncc3s2)nc(N)n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cc3c(O)cncc3s2)n1; [None]; [None]; [0]
 CCc1cc(-c2cc3c(O)cncc3s2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cc3c(O)cncc3s2)s1; [None]; [None]; [0]
-Nc1nnc(-c2cc3c(O)cncc3s2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2cc3c(O)cncc3s2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+Nc1nnc(-c2cc3c(O)cncc3s2)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc3c(O)cncc3s2)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc3c(O)cncc3s2)CC1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc3c(O)cncc3s2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 Oc1cncc2sc(-c3nc4ccccc4s3)cc12; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cc4c(O)cncc4s3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4c(O)cncc4s3)c2)cc1; [None]; [None]; [0]
 Oc1cncc2sc(-c3cccc4ccsc34)cc12; [None]; [None]; [0]
-Oc1cncc2sc(-c3cccc4nnsc34)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4c(O)cncc4s3)c2)cc1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cc4c(O)cncc4s3)nc2NC1=O; [None]; [None]; [0]
+Nc1cncc(-c2cc3c(O)cncc3s2)n1; [None]; [None]; [0]
 O=C(NCCCc1cc2c(O)cncc2s1)c1cccs1; [None]; [None]; [0]
 O=C(NCCCc1cc2c(O)cncc2s1)C1CCC1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cc3c(O)cncc3s2)[nH]1; [None]; [None]; [0]
-Oc1cncc2sc(-c3c[nH]c4cccnc34)cc12; [None]; [None]; [0]
+Oc1cncc2sc(-c3cccc4nnsc34)cc12; [None]; [None]; [0]
 Oc1cncc2sc(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
-Oc1cncc2sc(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cc3c(O)cncc3s2)CC1; [None]; [None]; [0]
+OCCn1cnc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+Oc1cncc2sc(-c3c[nH]c4cccnc34)cc12; [None]; [None]; [0]
+Oc1cncc2sc(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
 COc1ccc(OC)c(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc3c(O)cncc3s2)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc3c(O)cncc3s2)cnn1; [None]; [None]; [0]
-Oc1cncc2sc(N3CCC(c4nc5ccccc5[nH]4)CC3)cc12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cc3c(O)cncc3s2)c1)C1CCNCC1; [None]; [None]; [0]
+COc1ncccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cc3c(O)cncc3s2)CC1; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1Cc1cc2c(O)cncc2s1; [None]; [None]; [0]
 Oc1cncc2sc(-c3cccc4ncccc34)cc12; [None]; [None]; [0]
-Oc1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
-CCc1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc3c(O)cncc3s2)cnn1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+Oc1cncc2sc(-c3c(Cl)ccc4c3OCO4)cc12; [None]; [None]; [0]
 Oc1cc(-c2cc3c(O)cncc3s2)ccc1Cl; [None]; [None]; [0]
 Oc1cncc2sc(-c3n[nH]c4ccccc34)cc12; [None]; [None]; [0]
-Cn1c(-c2cc3c(O)cncc3s2)nc2ccccc21; [None]; [None]; [0]
-Oc1cncc2sc(Oc3ccc(F)cc3)cc12; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cc3c(O)cncc3s2)c(F)c1; [None]; [None]; [0]
+Oc1cncc2sc(Oc3ccc(F)cc3)cc12; [None]; [None]; [0]
 Oc1ccc(-c2cc3c(O)cncc3s2)c(Cl)c1; [None]; [None]; [0]
+Oc1ccc(-c2cc3c(O)cncc3s2)c(F)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cc4c(O)cncc4s3)cc2[nH]1; [None]; [None]; [0]
 Oc1cncc2sc(-c3cn[nH]c3Cl)cc12; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3cc4c(O)cncc4s3)cc2)c(O)c1; [None]; [None]; [0]
 COc1cc(-c2cc3c(O)cncc3s2)ccc1O; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2cc3c(O)cncc3s2)cc1F; [None]; [None]; [0]
 COC(=O)c1ccc(-c2cc3c(O)cncc3s2)o1; [None]; [None]; [0]
-COc1cc(CCc2cc3c(O)cncc3s2)ccc1O; [None]; [None]; [0]
-Oc1cncc2sc(-c3cccc(Br)c3)cc12; [None]; [None]; [0]
-Oc1cncc2sc(COc3cccc(Cl)c3)cc12; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
 Oc1ccc(-c2cc3c(O)cncc3s2)c(O)c1; [None]; [None]; [0]
+COc1cc(CCc2cc3c(O)cncc3s2)ccc1O; [None]; [None]; [0]
+Oc1cncc2sc(-c3ccc(F)c(Cl)c3)cc12; [None]; [None]; [0]
+Nc1cc(-c2cc3c(O)cncc3s2)ccn1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
 Oc1cncc2sc(COc3ccccc3Cl)cc12; [None]; [None]; [0]
-Oc1cncc2sc(-c3ccc(F)c(Cl)c3)cc12; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Oc1cncc2sc(CCc3ccc(Cl)cc3)cc12; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
-Oc1cncc2sc(-c3c(Cl)ccc4c3OCO4)cc12; [None]; [None]; [0]
 Cc1ccc(CO)cc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+Oc1cncc2sc(-c3[nH]cnc3-c3ccc(F)cc3)cc12; [None]; [None]; [0]
 Oc1ncc(-c2cc3c(O)cncc3s2)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
 NC(=O)c1cc(-c2cc3c(O)cncc3s2)c[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc3c(O)cncc3s2)cc1OC; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3cc4c(O)cncc4s3)ccc12; [None]; [None]; [0]
+COc1ccc(-c2cc3c(O)cncc3s2)cc1OC; [None]; [None]; [0]
 Cc1nc2ccc(-c3cc4c(O)cncc4s3)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cc4c(O)cncc4s3)ccc2N1; [None]; [None]; [0]
+CCOc1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+COc1cc(CCc2cc3c(O)cncc3s2)cc(OC)c1; [None]; [None]; [0]
 Oc1cncc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3cc4c(O)cncc4s3)ccc2N1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
 C[C@H](CC(N)=O)c1cc2c(O)cncc2s1; [None]; [None]; [0]
 CNc1nccc(-c2cc3c(O)cncc3s2)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Cc1n[nH]c2cc(N(C)c3cc4c(O)cncc4s3)ccc12; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 Cc1cc(O)ccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+Cc1n[nH]c(-c2cc3c(O)cncc3s2)c1C; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)c3cc4c(O)cncc4s3)ccc12; [None]; [None]; [0]
+Oc1cncc2sc(-c3cc(C(F)F)n[nH]3)cc12; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1cc2c(O)cncc2s1; [None]; [None]; [0]
-CCc1sccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+Cc1oc(-c2cc3c(O)cncc3s2)cc1C(=O)[O-]; [None]; [None]; [0]
 Oc1c(Cl)cc(-c2cc3c(O)cncc3s2)cc1Cl; [None]; [None]; [0]
 Oc1cncc2sc(-c3ccc4c(c3)CCN4)cc12; [None]; [None]; [0]
+Oc1cncc2sc(-c3ccncc3Cl)cc12; [None]; [None]; [0]
+CCc1sccc1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
+CNc1nc(-c2cc3c(O)cncc3s2)ncc1F; [None]; [None]; [0]
 Oc1cncc2sc(-c3cc(O)n4nccc4n3)cc12; [None]; [None]; [0]
-Cc1oc(-c2cc3c(O)cncc3s2)cc1C(=O)[O-]; [None]; [None]; [0]
+Oc1cncc2sc(-c3ccc(Br)cc3F)cc12; [None]; [None]; [0]
 O=c1[nH]c2ccc(-c3cc4c(O)cncc4s3)cc2[nH]1; [None]; [None]; [0]
 Cn1ncc(N)c1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
 Oc1cncc2sc(Nc3ccncc3)cc12; [None]; [None]; [0]
-Oc1cncc2sc(-c3ccc(Br)cc3F)cc12; [None]; [None]; [0]
-Oc1cncc2sc(-c3[nH]nc4ccc(F)cc34)cc12; [None]; [None]; [0]
-Cc1n[nH]c(-c2cc3c(O)cncc3s2)c1C; [None]; [None]; [0]
-CN(c1cc2c(O)cncc2s1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
+Oc1cncc2sc(-c3[nH]nc4ccc(F)cc34)cc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3cc4c(O)cncc4s3)cc2o1; [None]; [None]; [0]
 Oc1cc(Br)cc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
+Oc1c(F)cc(-c2cc3c(O)cncc3s2)cc1F; [None]; [None]; [0]
 O=C(NC1CC1)c1ccc(-c2cc3c(O)cncc3s2)cc1; [None]; [None]; [0]
+CN(c1cc2c(O)cncc2s1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 Cc1cc(-c2cc3c(O)cncc3s2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3cc4c(O)cncc4s3)cc2o1; [None]; [None]; [0]
-Oc1c(F)cc(-c2cc3c(O)cncc3s2)cc1F; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3cc4c(O)cncc4s3)ccc12; [None]; [None]; [0]
-Oc1cncc2sc(-c3[nH]cnc3-c3ccc(F)cc3)cc12; [None]; [None]; [0]
 CSc1cccc(-c2cc3c(O)cncc3s2)c1; [None]; [None]; [0]
-Oc1cncc2sc(OCc3ccccc3)cc12; [None]; [None]; [0]
-Oc1cncc2sc(CCc3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
+Cc1cc(-c2cc3c(O)cncc3s2)cc(C)c1O; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3cc4c(O)cncc4s3)ccc12; [None]; [None]; [0]
 Oc1cncc2sc(OCc3cccc4ccccc34)cc12; [None]; [None]; [0]
 Oc1cncc2sc(-c3ocnc3-c3ccc(F)cc3)cc12; [None]; [None]; [0]
+Oc1cncc2sc(CCc3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
 Oc1cncc2sc(Oc3ccc(F)cc3F)cc12; [None]; [None]; [0]
-Oc1cncc2sc(Oc3ccccc3F)cc12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cnc(N)c(Cl)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1Br']; ['CNC(=O)c1ccccc1Br', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999983310699463, 0.9999768733978271, 0.999879002571106, 0.9951198101043701, 0.9915213584899902]
 Cc1onc(-c2ccccc2)c1-c1cc2c(O)cncc2s1; [None]; [None]; [0]
-Oc1cncc2sc(-c3ccc(F)cc3Cl)cc12; [None]; [None]; [0]
+CCOc1ccccc1-c1cnc(N)c(Cl)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O']; ['CCOc1ccccc1Br', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'CCOc1ccccc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9999932050704956, 0.9999796152114868, 0.999954879283905, 0.9999502897262573, 0.9998529553413391, 0.9996978044509888, 0.999523401260376, 0.9917140007019043, 0.9913798570632935]
 Oc1cncc2sc(-c3cn[nH]c3-c3ccc(Cl)cc3)cc12; [None]; [None]; [0]
 Oc1cncc2sc(OCc3ccc(F)cc3F)cc12; [None]; [None]; [0]
-Oc1cncc2sc(CCc3ccc(F)cc3F)cc12; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cnc(N)c(Cl)c1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999933838844299, 0.9999656677246094, 0.9981730580329895, 0.9580962657928467]
+Cc1nnc(-c2ccccc2-c2cnc(N)c(Cl)c2)[nH]1; [None]; [None]; [0]
+CCn1cc(-c2cnc(N)c(Cl)c2)cn1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['CCn1cc(I)cn1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'CCn1cc(Br)cn1', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999810457229614, 0.9999464750289917, 0.9999009370803833, 0.9998777508735657, 0.9985479116439819, 0.9801206588745117]
+CP(C)(=O)c1ccccc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
+Nc1ncc(Cc2cc(F)cc(F)c2)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1']; ['Fc1cc(F)cc(CBr)c1', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999963045120239, 0.9997816681861877, 0.9995620250701904, 0.9974284172058105]
 Oc1cncc2sc(NCc3c(F)cccc3Cl)cc12; [None]; [None]; [0]
+Nc1ncc(-c2ccnc3ccccc23)cc1Cl; ['Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Brc1ccnc2ccccc12', 'Nc1ncc(Cl)cc1Cl', 'CCCC[Sn](CCCC)(CCCC)c1ccnc2ccccc12']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Clc1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1ccnc2ccccc12', 'Nc1ncc(Br)cc1Cl']; [0.999998927116394, 0.9999707937240601, 0.9999238848686218, 0.9999167919158936, 0.9996541738510132, 0.9955597519874573, 0.9951266050338745, 0.9213339686393738, 0.8755916357040405]
+COC(C)(C)CCc1cnc(N)c(Cl)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccccc2OC(F)(F)F)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'FC(F)(F)Oc1ccccc1Br', 'Nc1ncc(Cl)cc1Cl', 'FC(F)(F)Oc1ccccc1']; ['FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Cl', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ncc(Br)cc1Cl']; [0.9999977350234985, 0.9999936819076538, 0.9999929666519165, 0.9999878406524658, 0.9999688267707825, 0.9998944997787476, 0.9997462034225464, 0.9968323707580566, 0.9952229261398315, 0.9777598977088928]
+Oc1cncc2sc(CCc3ccc(F)cc3F)cc12; [None]; [None]; [0]
+Nc1ncc(-c2cccc(C(F)(F)F)c2)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'Nc1ncc(Br)cc1Cl', 'CCCC[Sn](CCCC)(CCCC)c1cccc(C(F)(F)F)c1', 'Nc1ncc(Cl)cc1Cl', 'FC(F)(F)c1cccc(Br)c1']; ['FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1ncc(Br)cc1Cl']; [0.9999991655349731, 0.9999990463256836, 0.9999979734420776, 0.9999970197677612, 0.9999933838844299, 0.9999522566795349, 0.9999152421951294, 0.99983811378479, 0.9988570809364319, 0.9976955652236938, 0.9876986742019653]
+Nc1ncc(-c2cnn(Cc3ccccc3)c2)cc1Cl; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Cl)cc1Cl', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999967813491821, 0.9999967813491821, 0.9999764561653137, 0.9998239278793335, 0.9991512298583984]
+Nc1ncc(-c2ccccc2C(=O)[O-])cc1Cl; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cnc(N)c(Cl)c3)cc2c1=O; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Cn1cnc2ccc(Br)cc2c1=O']; ['Cn1cnc2ccc(Br)cc2c1=O', 'Nc1ncc(Br)cc1Cl']; [0.9999997615814209, 0.9966288208961487]
+Nc1ncc(-c2cnn(CCO)c2)cc1Cl; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'OCCn1cc(Br)cn1', 'Nc1ncc(Cl)cc1Cl', 'OCCn1cc(B(O)O)cn1']; [0.999983549118042, 0.9998994469642639, 0.9998358488082886, 0.9985780119895935, 0.9890400171279907]
+NC(=O)c1ccccc1-c1cnc(N)c(Cl)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1B(O)O']; ['NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'NC(=O)c1ccccc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9999885559082031, 0.9999839663505554, 0.9999805092811584, 0.9999673366546631, 0.9997648000717163, 0.9992989897727966, 0.9979349374771118, 0.9973630309104919, 0.962051272392273, 0.9487728476524353]
+Nc1ncc(-c2cnc(-c3ccccc3)[nH]2)cc1Cl; [None]; [None]; [0]
+Nc1ncc(-c2cc(Cl)ccc2Cl)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'Nc1ncc(Cl)cc1Cl']; ['Clc1ccc(Cl)c(Br)c1', 'Nc1ncc(Br)cc1Cl', 'Clc1ccc(Cl)c(I)c1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Cl)c1', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999976754188538, 0.9999805688858032, 0.9999749660491943, 0.9999287128448486, 0.9998677968978882, 0.9996737837791443, 0.9996318817138672, 0.9983939528465271, 0.9983043670654297, 0.9894316792488098, 0.9411547780036926]
+Cc1ccc(-c2cnc(N)c(Cl)c2)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9997044801712036, 0.9810624122619629, 0.9348840117454529]
+CC(C)C(=O)COc1cnc(N)c(Cl)c1; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Nc1ncc(O)cc1Cl', 'Nc1ncc(O)cc1Cl']; [0.96625155210495, 0.9097592830657959]
+Nc1ncc(-c2cnc3ccccn23)cc1Cl; ['Brc1cnc2ccccn12', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999994039535522, 0.9999974966049194, 0.9998264312744141, 0.9775347113609314]
+COc1cnc(-c2cnc(N)c(Cl)c2)nc1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9999756813049316, 0.9999316930770874]
+Nc1ncc(-c2cccc(NC(=O)c3ccccc3)c2)cc1Cl; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Nc1ncc(Cl)cc1Cl']; [0.9999951124191284, 0.9999901056289673, 0.9999816417694092, 0.9997793436050415, 0.9994857311248779]
+Cc1nc2ccccn2c1-c1cnc(N)c(Cl)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1']; ['Cc1nc2ccccn2c1Br', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999949932098389, 0.9999659657478333, 0.9999206066131592]
+Cc1nc(C)c(-c2cnc(N)c(Cl)c2)s1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(Br)s1', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999980330467224, 0.9999964833259583, 0.9999802708625793, 0.9868068695068359]
+Nc1ncc(-c2cnc3cccnn23)cc1Cl; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9990352392196655]
+Cc1nc(N)sc1-c1cnc(N)c(Cl)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Cc1csc(N)n1']; ['Cc1nc(N)sc1Br', 'Nc1ncc(Br)cc1Cl']; [0.999998927116394, 0.9994041919708252]
+CNc1nc(C)c(-c2cnc(N)c(Cl)c2)s1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CNc1nc(C)cs1']; ['CNc1nc(C)c(Br)s1', 'Nc1ncc(Br)cc1Cl']; [0.9999992251396179, 0.9958145618438721]
+Cc1ccc(Cl)c(-c2cnc(N)c(Cl)c2)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1']; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999974966049194, 0.9999765157699585, 0.9999582171440125, 0.9998583793640137, 0.9997588396072388, 0.9994683861732483, 0.9994449615478516, 0.9994099140167236, 0.9896762371063232, 0.9676107168197632]
+CC(C)(C)c1nc(-c2cnc(N)c(Cl)c2)cs1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(Br)c2)cc1Cl; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Brc1cccc(I)c1', 'Nc1ncc(Cl)cc1Cl']; ['Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cccc(Br)c1', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cccc(Br)c1']; [0.9999939203262329, 0.9999578595161438, 0.9999306201934814, 0.9998482465744019, 0.9946491718292236, 0.985360860824585, 0.9109512567520142]
+Nc1ncc(NCc2cccnc2)cc1Cl; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(F)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9998922348022461, 0.9931873679161072, 0.9882913827896118, 0.807181715965271]
+Nc1ncc(-c2cccc(Cn3cncn3)c2)cc1Cl; [None]; [None]; [0]
 Nc1ncc(-n2ncc3cccc(F)c3c2=O)cc1Cl; [None]; [None]; [0]
+Nc1ncc(-c2c(Cl)cccc2Cl)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Clc1cccc(Cl)c1I', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Clc1cccc(Cl)c1Br', 'Nc1ncc(Cl)cc1Cl']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999983906745911, 0.9999969005584717, 0.9999779462814331, 0.9999568462371826, 0.9999173879623413, 0.9996718764305115, 0.9989334940910339, 0.9715217351913452]
+Nc1ncc(Nc2cccnc2)cc1Cl; ['Nc1cccnc1', 'Nc1cccnc1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl']; [0.9936165809631348, 0.9875025749206543]
+Nc1ncc(-c2ccc3ccccc3c2)cc1Cl; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Ic1ccc2ccccc2c1', 'Nc1ncc(Cl)cc1Cl', 'Brc1ccc2ccccc2c1']; ['Nc1ncc(Br)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1ccc2ccccc2c1', 'Nc1ncc(Br)cc1Cl']; [0.9999977946281433, 0.9999943971633911, 0.9999909996986389, 0.9999871253967285, 0.9999762773513794, 0.999897837638855, 0.999891996383667, 0.9979581832885742, 0.9830681085586548]
 Cc1c(-c2cnc(N)c(Cl)c2)sc(=O)n1C; [None]; [None]; [0]
-Nc1ncc(-c2cnn3ncccc23)cc1Cl; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cnc(N)c(Cl)c2)o1; [None]; [None]; [0]
+Nc1ncc(NCCc2c[nH]cn2)cc1Cl; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; ['Nc1ncc(F)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9985320568084717, 0.9965381622314453, 0.9938569068908691, 0.9577746391296387]
+Nc1ncc(NC(=O)c2cccs2)cc1Cl; ['NC(=O)c1cccs1']; ['Nc1ncc(Br)cc1Cl']; [0.9647870063781738]
+Nc1ncc(-n2cnc3ccccc32)cc1Cl; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(F)cc1Cl', 'Nc1ncc(I)cc1Cl']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9968938827514648, 0.9838390350341797, 0.980184018611908]
+NC(=O)c1c(F)cccc1-c1cnc(N)c(Cl)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C']; ['NC(=O)c1c(F)cccc1Br']; [0.9999998211860657]
+Nc1ncc(NCCc2ccccc2)cc1Cl; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(F)cc1Cl']; [0.984817385673523, 0.952917218208313, 0.9511715173721313]
+Nc1ncc(-c2cncc3ccccc23)cc1Cl; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Brc1cncc2ccccc12', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'Nc1ncc(I)cc1Cl', 'Ic1cncc2ccccc12', 'Nc1ncc(Br)cc1Cl', 'Brc1cncc2ccccc12']; ['Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Ic1cncc2ccccc12', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cncc2ccccc12', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cncc2ccccc12', 'Nc1ncc(Br)cc1Cl']; [0.9999940395355225, 0.9999903440475464, 0.9999791979789734, 0.9999691247940063, 0.9999152421951294, 0.9997665882110596, 0.9992063045501709, 0.9939706325531006, 0.9750926494598389, 0.9156365394592285]
+Nc1ncc(-c2c[nH]nc2C(F)(F)F)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['FC(F)(F)c1n[nH]cc1Br', 'Nc1ncc(Br)cc1Cl']; [0.999996542930603, 0.9999696016311646]
+Nc1nccc(-c2cnc(N)c(Cl)c2)n1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl']; ['Nc1nccc(I)n1', 'Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1']; [0.9999995231628418, 0.9999994039535522, 0.9999977350234985, 0.9996967315673828, 0.9995295405387878]
+Cn1cc(-c2ccc(-c3cnc(N)c(Cl)c3)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C']; ['Nc1ncc(Br)cc1Cl', 'Cn1cc(-c2ccc(Br)cc2)cn1']; [0.9999998807907104, 0.9999997019767761]
+Nc1ncc(-c2cnn3ncccc23)cc1Cl; ['Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12', 'Brc1cnn2ncccc12', 'Brc1cnn2ncccc12']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncccc1Cl']; [0.9999990463256836, 0.9999957084655762, 0.9999924898147583, 0.9999331831932068, 0.9937112331390381, 0.8795660734176636]
+Nc1ncc(-c2ccc3c(N)[nH]nc3c2)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.9999991655349731]
+Nc1ncc(NCc2ccc(Cl)cc2)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; ['NCc1ccc(Cl)cc1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(F)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.999999463558197, 0.9997062087059021, 0.9965535402297974, 0.9964280128479004, 0.9633139371871948]
 CN1c2ccc(-c3cnc(N)c(Cl)c3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cnc(N)c(Cl)c3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1ncc(Br)cc1Cl', 'Cn1ncc2cc(Br)ccc21', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999998807907104, 0.9999997615814209, 0.9999997615814209, 0.9999995827674866, 0.9999994039535522, 0.9999972581863403, 0.9999945163726807, 0.9999911785125732, 0.9999150633811951, 0.9998712539672852, 0.9752320647239685]
+Nc1ncc(-c2ccc(-c3cn[nH]c3)cc2)cc1Cl; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Nc1ncc(Br)cc1Cl']; [0.9999979734420776, 0.9999966621398926, 0.999994158744812, 0.9999257922172546, 0.9989084005355835, 0.9964209198951721, 0.9625065326690674]
+Nc1ncc(-c2cccc(CO)c2)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; ['OCc1cccc(Br)c1', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'OCc1cccc(Cl)c1', 'OCc1cccc(B(O)O)c1', 'Nc1ncc(Cl)cc1Cl', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1']; [0.9999910593032837, 0.9999880790710449, 0.9999867677688599, 0.999927282333374, 0.9998588562011719, 0.9994425773620605, 0.9942656755447388, 0.9936326146125793, 0.8976752758026123, 0.8842477202415466]
+Nc1ncc(-c2cccc(O)c2)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9999938011169434, 0.9999920129776001, 0.99989914894104, 0.9998841881752014, 0.9997937083244324, 0.9932142496109009, 0.968146026134491, 0.8616917133331299]
+Nc1ncc(NCc2ccccc2F)cc1Cl; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(F)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9995874166488647, 0.9947783946990967, 0.9797787070274353, 0.8870776891708374]
+Nc1ncc(-c2cccc(CC(=O)[O-])c2)cc1Cl; [None]; [None]; [0]
+Nc1ncc(Nc2ccncc2)cc1Cl; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9995999336242676, 0.997805655002594, 0.9221543073654175]
+CCCn1cnc(-c2cnc(N)c(Cl)c2)n1; [None]; [None]; [0]
+CC(C)n1cc(-c2cnc(N)c(Cl)c2)nn1; ['CC(C)n1ccnn1']; ['Nc1ncc(I)cc1Cl']; [0.999924898147583]
+N#CCCc1cccc(-c2cnc(N)c(Cl)c2)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; ['N#CCCc1cccc(Br)c1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999872446060181, 0.9999209046363831, 0.9990679025650024, 0.9863460659980774, 0.9421236515045166]
 COc1cc(-c2cnc(N)c(Cl)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cnc(N)c(Cl)c2)nn1; [None]; [None]; [0]
+Nc1ncc(-c2csc3ncncc23)cc1Cl; ['Brc1csc2ncncc12']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C']; [0.9999666213989258]
+Nc1ncc(-c2cc3ccccc3[nH]2)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; ['Ic1cc2ccccc2[nH]1', 'Clc1cc2ccccc2[nH]1', 'OB(O)c1cc2ccccc2[nH]1']; [0.9999992251396179, 0.9999773502349854, 0.9991447925567627]
+Nc1nc(-c2cnc(N)c(Cl)c2)cs1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C']; ['Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1']; [0.9999955892562866, 0.9999165534973145]
+Nc1ncc(-c2cncnc2N)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; ['Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1Br']; [0.9999970197677612, 0.9999940395355225, 0.9580233097076416]
+CSc1nc(-c2cnc(N)c(Cl)c2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cnc(N)c(Cl)c3)cc2s1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(F)cc2C(F)(F)F)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Nc1ncc(Br)cc1Cl', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Nc1ncc(Cl)cc1Cl', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Nc1ncc(I)cc1Cl', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ncc(Br)cc1Cl']; [0.9999997019767761, 0.999993085861206, 0.9999921321868896, 0.9999872446060181, 0.9999732971191406, 0.9999371767044067, 0.9998511075973511, 0.9988666772842407, 0.9953285455703735]
 Nc1ncc(CCc2c[nH]nn2)cc1Cl; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(NC(=O)c2c(Cl)cccc2Cl)cc1Cl; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cnc(N)c(Cl)c2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9999976754188538, 0.9999960660934448, 0.9999268054962158]
+Nc1ncc(Oc2ccccn2)cc1Cl; ['Brc1ccccn1', 'Clc1ccccn1', 'Fc1ccccn1']; ['Nc1ncc(O)cc1Cl', 'Nc1ncc(O)cc1Cl', 'Nc1ncc(O)cc1Cl']; [0.9989438056945801, 0.9982750415802002, 0.9978348016738892]
+NC(=O)CCCc1cnc(N)c(Cl)c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cnc(N)c(Cl)c2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999973773956299, 0.9999967813491821, 0.9999943971633911, 0.9999747276306152, 0.9999430179595947, 0.9996504783630371, 0.988334596157074, 0.9683551788330078]
+CS(=O)(=O)C1CCN(c2cnc(N)c(Cl)c2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Nc1ncc(F)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9998992681503296, 0.9998389482498169, 0.9993364214897156]
+Nc1ncc(NC(=O)c2c(Cl)cccc2Cl)cc1Cl; ['NC(=O)c1c(Cl)cccc1Cl', 'Nc1ncc([N+](=O)[O-])cc1Cl', 'NC(=O)c1c(Cl)cccc1Cl']; ['Nc1ncc(I)cc1Cl', 'O=C(Cl)c1c(Cl)cccc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9995337128639221, 0.9988266229629517, 0.98714679479599]
+COc1ccc(-c2cnc(N)c(Cl)c2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Nc1ncc(Br)cc1Cl', 'COc1ccc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'COc1ccc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999997615814209, 0.9999997615814209, 0.9999995827674866, 0.9999994039535522, 0.999997615814209, 0.9999960660934448, 0.9999915361404419, 0.9999904632568359, 0.9999834299087524, 0.9999488592147827, 0.9997630715370178, 0.9918397665023804]
+CCCn1cc(-c2cnc(N)c(Cl)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1ncc(Br)cc1Cl', 'CCCn1cc(Br)cn1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999895095825195, 0.9999889135360718, 0.999988853931427, 0.9999086260795593, 0.9985567927360535]
 CC(C)(COc1cnc(N)c(Cl)c1)S(C)(=O)=O; [None]; [None]; [0]
+Cn1cc(-c2cnc(N)c(Cl)c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999929666519165, 0.999983549118042, 0.9998296499252319, 0.9939590692520142]
+Nc1ncc(-c2cc[nH]c(=O)c2)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; ['O=c1cc(Br)cc[nH]1', 'O=c1cc(I)cc[nH]1', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'O=c1cc(Cl)cc[nH]1', 'O=c1cc(I)cc[nH]1']; [0.9999309182167053, 0.9999189376831055, 0.9999122023582458, 0.9998826384544373, 0.9995039105415344, 0.9894554018974304]
+CC(C)(O)CC(=O)NCCc1cnc(N)c(Cl)c1; [None]; [None]; [0]
+Nc1ncc(-c2cccc3c2C(=O)CC3)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; ['O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Br)c21']; [0.9999942183494568, 0.999078631401062, 0.9627461433410645]
+COc1cc(CCc2cnc(N)c(Cl)c2)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1', 'COc1cc(CBr)cc(OC)c1']; ['Nc1ncc(Br)cc1Cl', 'Cc1cnc(N)c(Cl)c1']; [0.9947474002838135, 0.7650340795516968]
+C[S@](=O)c1ccc(-c2cnc(N)c(Cl)c2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1Cl']; [0.9998936653137207]
+CCNS(=O)(=O)c1ccccc1-c1cnc(N)c(Cl)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CCNS(=O)(=O)c1ccccc1Br']; ['CCNS(=O)(=O)c1ccccc1Br', 'Nc1ncc(Br)cc1Cl']; [0.9999955892562866, 0.9630995988845825]
+CC(C)(N)c1ccc(-c2cnc(N)c(Cl)c2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; [0.9999988079071045, 0.9999187588691711, 0.972954511642456]
+Nc1ncc(-c2cnn3ccccc23)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Brc1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Brc1cnn2ccccc12', 'Nc1ncc(Br)cc1Cl', 'Ic1cnn2ccccc12', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Brc1cnn2ccccc12', 'Nc1ncc(I)cc1Cl']; ['Ic1cnn2ccccc12', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cnn2ccccc12', 'Clc1cnn2ccccc12', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(I)cc1Cl', 'OB(O)c1cnn2ccccc12', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1cnn2ccccc12', 'O=C(O)c1cnn2ccccc12', 'Nc1ncc(Br)cc1Cl', 'c1ccn2nccc2c1']; [1.0, 0.9999994039535522, 0.9999992847442627, 0.9999982118606567, 0.9999955892562866, 0.9999831318855286, 0.9999706745147705, 0.9998446106910706, 0.999681293964386, 0.9996772408485413, 0.9914644360542297, 0.9826489686965942, 0.9577656984329224, 0.9566528797149658]
+C[C@@H](Oc1cnc(N)c(Cl)c1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Nc1ncc(F)cc1Cl', 'Nc1ncc(O)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9961808919906616, 0.9878782629966736, 0.870754599571228]
+CCN(CC)c1cnc(N)c(Cl)c1; ['CCNCC', 'CCNCC', 'CCNCC']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(F)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9842175245285034, 0.9827077984809875, 0.8058233261108398]
 Nc1ncc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cc1Cl; [None]; [None]; [0]
-C[C@@H](Oc1cnc(N)c(Cl)c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+COc1ccncc1Nc1cnc(N)c(Cl)c1; ['COc1ccncc1N', 'COc1ccncc1N']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9976116418838501, 0.9561718106269836]
+CC(C)(C)c1ccc(-c2cnc(N)c(Cl)c2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', None]; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl', None]; [1.0, 0.9999997019767761, 0.9999991655349731, 0.9999973773956299, 0.9999803304672241, 0.9999748468399048, 0.9988100528717041, 0.9944146871566772, 0]
+Nc1ncc(Nc2cnc3ccccc3c2)cc1Cl; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9975042343139648, 0.9367040395736694]
+COc1cccc(F)c1-c1cnc(N)c(Cl)c1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br']; ['Nc1ncc(Br)cc1Cl', 'COc1cccc(F)c1Br', 'Nc1ncc(I)cc1Cl', 'COc1cccc(F)c1I', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncccc1Cl']; [1.0, 1.0, 0.9999995827674866, 0.9999995231628418, 0.9999988079071045, 0.9999977350234985, 0.9999914169311523, 0.9998769760131836, 0.9997895956039429, 0.9806528091430664]
+CC(C)Oc1cncc(-c2cnc(N)c(Cl)c2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [1.0, 0.9999996423721313, 0.9999996423721313, 0.9999988079071045, 0.9999221563339233, 0.9996033906936646, 0.9849262237548828]
+Nc1ncc(Nc2cnccc2-c2ccccc2)cc1Cl; ['Nc1cnccc1-c1ccccc1']; ['Nc1ncc(Br)cc1Cl']; [0.9860936403274536]
+Nc1ncc(-c2cc3c(=O)[nH]ccc3o2)cc1Cl; [None]; [None]; [0]
+Nc1ncc(-c2cnc3[nH]ccc3c2)cc1Cl; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl', 'Ic1cnc2[nH]ccc2c1', 'Nc1ncc(I)cc1Cl', 'Clc1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1ncc(Cl)cc1Cl', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1ncc(Br)cc1Cl']; [0.999998927116394, 0.9999983310699463, 0.9999979138374329, 0.9999963045120239, 0.9999953508377075, 0.9999896883964539, 0.9999614357948303, 0.9997959136962891, 0.998860776424408, 0.9441500902175903]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc(N)c(Cl)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncc(Br)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999982118606567, 0.9999918937683105, 0.999972939491272, 0.9998164772987366, 0.8472388982772827]
+Nc1ncc(-c2c[nH]c3cnccc23)cc1Cl; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Brc1c[nH]c2cnccc12', 'Nc1ncc(I)cc1Cl', 'Brc1c[nH]c2cnccc12', 'Ic1c[nH]c2cnccc12']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'Nc1ncc(I)cc1Cl', 'OB(O)c1c[nH]c2cnccc12', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999970197677612, 0.9998922944068909, 0.9980225563049316, 0.9566798806190491, 0.9275079965591431, 0.7735289335250854]
+CNS(=O)(=O)c1ccc(-c2cnc(N)c(Cl)c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Br)cc1Cl', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9999918341636658, 0.9999906420707703, 0.9999468326568604, 0.9995979070663452, 0.9899502396583557]
+CNC(=O)c1c(F)cccc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
 Nc1ncc(-c2cc3c(=O)[nH]cc(Br)c3s2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(Nc2cnccc2-c2ccccc2)cc1Cl; [None]; [None]; [0]
+Nc1ncc(-c2ccc(N3CCOCC3)cc2)cc1Cl; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ncc(Cl)cc1Cl', 'Clc1ccc(N2CCOCC2)cc1', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [1.0, 1.0, 0.9999997615814209, 0.9999991655349731, 0.9999980330467224, 0.9999954700469971, 0.9999951124191284, 0.9999946355819702, 0.9999289512634277]
+CS(=O)(=O)c1ccc(-c2cnc(N)c(Cl)c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Nc1ncc(I)cc1Cl', 'CS(=O)(=O)c1ccc(Cl)cc1', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [1.0, 1.0, 0.9999998211860657, 0.9999997019767761, 0.9999988079071045, 0.9999949932098389, 0.9999911785125732, 0.9999903440475464, 0.999987006187439, 0.9989451169967651, 0.9947815537452698]
+Cc1cc(-c2cnc(N)c(Cl)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CC1(c2cnc(N)c(Cl)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Nc1ncc(-n2ccc(CO)n2)cc1Cl; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(F)cc1Cl']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9920074939727783, 0.9754544496536255, 0.9734165072441101]
 CN(c1cnc(N)c(Cl)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@H](Nc1cnc(N)c(Cl)c1)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(F)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9858401417732239, 0.8607885837554932, 0.8498381972312927]
+C[C@@H](Nc1cnc(N)c(Cl)c1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(F)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9858401417732239, 0.8607885837554932, 0.8498381972312927]
 C[C@H](Nc1cnc(N)c(Cl)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Nc1ncc(-c2c(F)cccc2Cl)cc1Cl; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Fc1cccc(Cl)c1I', 'Nc1ncc(I)cc1Cl', 'Fc1cccc(Cl)c1Br', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'NNc1c(F)cccc1Cl']; ['Nc1ncc(Br)cc1Cl', 'Fc1cccc(Cl)c1Br', 'Nc1ncc(I)cc1Cl', 'Fc1cccc(Cl)c1I', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Nc1ncc(Br)cc1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Nc1ncccc1Cl']; [1.0, 1.0, 0.9999994039535522, 0.9999992251396179, 0.9999991655349731, 0.9999978542327881, 0.9999884366989136, 0.9999878406524658, 0.9996201992034912, 0.8874915838241577]
+Nc1ncc(-n2cnc(CCO)c2)cc1Cl; ['Nc1ncc(Br)cc1Cl']; ['OCCc1c[nH]cn1']; [0.9949625134468079]
+Nc1ncc(-n2ncc3ccccc32)cc1Cl; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(F)cc1Cl', 'Nc1ncc(I)cc1Cl']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9990705847740173, 0.9981846809387207, 0.9946231842041016]
+Nc1ncc(-n2ncc3c(O)cccc32)cc1Cl; ['Nc1ncc(F)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.9996329545974731, 0.9989768266677856, 0.9893699884414673, 0.8760343790054321]
+COc1ccc(-c2cnc(N)c(Cl)c2)c(OC)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['COc1ccc(Br)c(OC)c1', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'COc1ccc(I)c(OC)c1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999933242797852, 0.9999895095825195, 0.9999779462814331, 0.9999718070030212, 0.9999463558197021, 0.9993927478790283, 0.9992600679397583, 0.9860891103744507, 0.9797194004058838]
+Nc1ncc(-c2ccc(C(=O)c3ccccc3)cc2)cc1Cl; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl']; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Nc1ncc(Cl)cc1Cl', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9999980926513672, 0.9999957084655762, 0.9999946355819702, 0.999988317489624, 0.9999796152114868, 0.9999148845672607, 0.9999102354049683, 0.999323844909668, 0.9992060661315918, 0.9794795513153076, 0.7945472002029419]
+Nc1ncc(-c2ccc(-n3cncn3)cc2)cc1Cl; [None]; [None]; [0]
+Nc1ncc(-c2nc3ccc(O)cc3[nH]2)cc1Cl; [None]; [None]; [0]
+CSc1nc(C)c(-c2cnc(N)c(Cl)c2)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c(Cl)c2)CC1; [None]; [None]; [0]
+Nc1ncc(CCC(=O)NCc2ccccn2)cc1Cl; [None]; [None]; [0]
+Nc1ncc(-c2nncn2C2CC2)cc1Cl; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
+Nc1nnc(-c2cnc(N)c(Cl)c2)s1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C']; ['Nc1nnc(Br)s1']; [0.9999854564666748]
+CCc1cc(-c2cnc(N)c(Cl)c2)nc(N)n1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CCc1cc(Cl)nc(N)n1']; ['CCc1cc(Cl)nc(N)n1', 'Nc1ncc(Br)cc1Cl']; [0.9999997019767761, 0.9991785287857056]
+Nc1ncc(-c2cn(Cc3ccccc3)nn2)cc1Cl; ['Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl']; ['c1ccc(Cn2ccnn2)cc1', 'c1ccc(Cn2ccnn2)cc1']; [0.9999819993972778, 0.9999136328697205]
 Nc1ncc(-c2ccn(CC[NH3+])n2)cc1Cl; [None]; [None]; [0]
-Nc1ncc(CS(=O)(=O)NCc2ccccn2)cc1Cl; [None]; [None]; [0]
 Nc1ncc(Cc2nnc3ccc(-c4ccccc4)nn23)cc1Cl; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc(N)c(Cl)c2)s1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C']; ['CNC(=O)c1ccc(Br)s1']; [0.9999997019767761]
+CC(C)(O)c1cccc(-c2cnc(N)c(Cl)c2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(Br)cc1Cl']; [0.999998927116394, 0.9999953508377075, 0.9990761280059814]
+Nc1ncc(CS(=O)(=O)NCc2ccccn2)cc1Cl; [None]; [None]; [0]
+CCCCc1cc(-c2cnc(N)c(Cl)c2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cnc(N)c(Cl)c1; [None]; [None]; [0]
-Nc1ncc(Oc2ccc(C[NH3+])cc2F)cc1Cl; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cnc(N)c(Cl)c3)nc2NC1=O; [None]; [None]; [0]
+Nc1ncc(-c2nc3ccccc3s2)cc1Cl; ['Brc1nc2ccccc2s1', 'Nc1ncc(Br)cc1Cl', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', None]; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'c1ccc2scnc2c1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', None]; [0.9999986290931702, 0.9999023079872131, 0.9998584985733032, 0.9998582601547241, 0]
+Nc1cncc(-c2cnc(N)c(Cl)c2)n1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1cncc(Cl)n1']; ['Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'Nc1ncc(Br)cc1Cl']; [0.999997615814209, 0.9999955296516418, 0.9970360994338989]
+Nc1ncc(-c2cccc3ccsc23)cc1Cl; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cccc2ccsc12', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; ['Nc1ncc(Br)cc1Cl', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999990463256836, 0.9999886751174927, 0.9999497532844543, 0.9990419149398804, 0.9305752515792847]
+CC1(C)Oc2ccc(-c3cnc(N)c(Cl)c3)nc2NC1=O; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)Oc2cccnc2NC1=O', 'CC1(C)Oc2ccc(Br)nc2NC1=O']; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999821186065674, 0.9453600645065308, 0.889998733997345]
+Nc1ncc(-c2cccc3nnsc23)cc1Cl; ['Brc1cccc2nnsc12', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Brc1cccc2nnsc12']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Clc1cccc2nnsc12', 'Nc1ncc(Br)cc1Cl']; [0.9999979734420776, 0.9999512434005737, 0.9789674282073975]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc(N)c(Cl)c3)c2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2cccc3nnsc23)cc1Cl; [None]; [None]; [0]
-COc1ccc(Oc2cnc(N)c(Cl)c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnc(N)c(Cl)c2)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cnc(N)c(Cl)c2)CC1; [None]; [None]; [0]
+Nc1ncc(-c2ncc3ccccc3n2)cc1Cl; ['Brc1ncc2ccccc2n1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C']; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Clc1ncc2ccccc2n1']; [0.9999617338180542, 0.9998727440834045]
+Nc1ncc(Oc2ccc(C[NH3+])cc2F)cc1Cl; [None]; [None]; [0]
+Nc1ncc(-c2c[nH]c3cccnc23)cc1Cl; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Nc1ncc(Br)cc1Cl', 'Ic1c[nH]c2cccnc12', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'Nc1ncc(I)cc1Cl']; [0.9999862909317017, 0.9999634027481079, 0.9999169111251831, 0.9994900226593018]
+Nc1ncc(-c2ncc3cc[nH]c3n2)cc1Cl; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C']; ['Clc1ncc2cc[nH]c2n1']; [0.9999836683273315]
+Nc1ncc(-c2nc(N)c3ccccc3n2)cc1Cl; ['Nc1ncc(I)cc1Cl']; ['Nc1ncnc2ccccc12']; [0.991847038269043]
+COc1ccc(C#N)cc1-c1cnc(N)c(Cl)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br']; ['COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'COc1ccc(C#N)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncccc1Cl']; [0.9999997615814209, 0.9999995827674866, 0.9999987483024597, 0.9999985098838806, 0.9999979138374329, 0.9999963045120239, 0.9999924898147583, 0.9999909400939941, 0.9999784231185913, 0.9999602437019348, 0.9992953538894653, 0.9992721080780029, 0.9983800649642944]
+CC(=O)Nc1ncc(-c2cnc(N)c(Cl)c2)[nH]1; [None]; [None]; [0]
+COc1ncccc1-c1cnc(N)c(Cl)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1B(O)O']; ['COc1ncccc1Br', 'Nc1ncc(Br)cc1Cl', 'COc1ncccc1I', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9999980330467224, 0.999990701675415, 0.9999855756759644, 0.9999525547027588, 0.9999291896820068, 0.9999223351478577, 0.9995355606079102, 0.998863160610199, 0.9938016533851624, 0.988142728805542]
+COc1ccc(Oc2cnc(N)c(Cl)c2)c(F)c1F; ['COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['Nc1ncc(O)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(O)cc1Cl', 'Nc1ncc(F)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9999372959136963, 0.9999297261238098, 0.998021125793457, 0.9966241717338562, 0.984182596206665, 0.9203670024871826]
+Nc1ncc(-c2cn(CCO)cn2)cc1Cl; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cnc(N)c(Cl)c2)c1; ['CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)cc1']; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'COc1ccc(OC)c(Cl)c1', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncccc1Cl', 'Nc1ncc(Br)cc1Cl']; [0.9999983310699463, 0.9999970197677612, 0.999995768070221, 0.9999914169311523, 0.9999881982803345, 0.9999383687973022, 0.9999328255653381, 0.9999146461486816, 0.9998593330383301, 0.9971635937690735, 0.9911531805992126, 0.8608968257904053, 0.831739604473114]
+CN(C)S(=O)(=O)c1cccc(-c2cnc(N)c(Cl)c2)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cnc(N)c(Cl)c2)OC1(C)C', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1ncc(Br)cc1Cl', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Cl)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.999997615814209, 0.9999972581863403, 0.9999971985816956, 0.9999237656593323, 0.9999188780784607, 0.998694658279419, 0.9912086129188538, 0.9389470815658569]
+Nc1ncc(N2CC=C(c3c[nH]c4ccccc34)CC2)cc1Cl; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Nc1ncc(F)cc1Cl', 'Nc1ncc(Br)cc1Cl', 'Nc1ncc(I)cc1Cl', 'Nc1ncc(Cl)cc1Cl']; [0.9999576807022095, 0.999884843826294, 0.9998348951339722, 0.991916298866272]
+Nc1ncc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1Cl; ['Nc1ncc(Br)cc1Cl', 'Nc1ncc(F)cc1Cl']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9998209476470947, 0.9992538690567017]
 Nc1ncc(-c2cccc(NC(=O)C3CCNCC3)c2)cc1Cl; [None]; [None]; [0]
-Oc1ccc(-c2ccc(-c3cncc4cccnc34)cc2)c(O)c1; [None]; [None]; [0]
-c1cnc2c(-c3cnn4ncccc34)cncc2c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cnc(N)c(Cl)c2)cnn1; [None]; [None]; [0]
+Oc1cccc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Oc1cccc(Br)c1']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'c1cnc2ccncc2c1']; [0.9999997615814209, 0.999978244304657, 0.9976348876953125, 0.7606613636016846]
+C[C@@]1(O)CC[C@H](c2cnc(N)c(Cl)c2)CC1; [None]; [None]; [0]
+c1cnc2c(-c3cccc4ncccc34)cncc2c1; [None]; [None]; [0]
+Oc1cc(-c2cncc3cccnc23)ccc1Cl; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Br)ccc1Cl']; [0.9999982118606567, 0.9999591112136841, 0.941215991973877]
+Fc1ccc(Oc2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12']; ['Oc1ccc(F)cc1']; [0.9984314441680908]
+CNS(=O)(=O)c1ccc(-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.9999989867210388, 0.9999669790267944, 0.969606876373291]
+Clc1ccc2c(c1-c1cncc3cccnc13)OCO2; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'Brc1cncc2cccnc12', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1I']; ['OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'Clc1cccc(Cl)c1', 'c1cnc2ccncc2c1', 'O=C(O)c1cncc2cccnc12']; [0.9999672174453735, 0.9989055395126343, 0.9954094290733337, 0.9953126311302185, 0.9683083295822144, 0.8968767523765564, 0.8677185773849487, 0.8120476007461548]
+NC(=O)c1ccc(-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9999998807907104, 0.999995231628418, 0.9977395534515381, 0.9860026836395264, 0.8896418809890747]
+c1cnc2c(-c3n[nH]c4ccccc34)cncc2c1; ['Brc1cncc2cccnc12']; ['c1ccc2[nH]ncc2c1']; [0.9321088790893555]
+NC(=O)c1ccc(-c2cncc3cccnc23)c(F)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; [0.9999980926513672, 0.9999305009841919, 0.9989506006240845]
+COc1cc(C(N)=O)ccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; [0.9999993443489075, 0.9837257862091064]
+Oc1ccc(-c2cncc3cccnc23)c(Cl)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1']; [0.9999922513961792, 0.999793291091919, 0.9799500703811646]
+Oc1ccc(-c2cncc3cccnc23)c(F)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Br)c(F)c1']; [0.9999823570251465, 0.9985424280166626, 0.9864954948425293]
+COc1cc(F)ccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1I', 'Brc1cncc2cccnc12']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Br', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'COc1cccc(F)c1']; [0.9999948740005493, 0.9999667406082153, 0.9999024868011475, 0.9936809539794922, 0.988100528717041, 0.9862326383590698, 0.9749760627746582, 0.7867038249969482]
+COc1ccc(F)cc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'Brc1cncc2cccnc12']; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'COc1ccc(F)cc1']; [0.9999935626983643, 0.9999055862426758, 0.9993271827697754, 0.9988393187522888, 0.9972442388534546, 0.868523359298706]
+Cc1nc2c(F)cc(-c3cncc4cccnc34)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1cncc2cccnc12; [None]; [None]; [0]
+Nc1nccc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
+COc1cc(-c2cncc3cccnc23)ccc1O; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9999997615814209, 0.9999512434005737, 0.997194230556488, 0.8860199451446533, 0.8722251653671265]
+Oc1ccc(-c2ccc(-c3cncc4cccnc34)cc2)c(O)c1; ['Brc1cncc2cccnc12']; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; [0.9965429902076721]
+COC(=O)c1ccc(-c2cncc3cccnc23)o1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['COC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(Br)o1']; [0.9999924898147583, 0.9992891550064087, 0.9992150068283081, 0.9974889755249023]
+O=C([O-])c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
+Brc1cccc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cccc(I)c1', 'OB(O)c1cccc(Br)c1', 'Brc1cncc2cccnc12', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1']; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'Brc1cncc2cccnc12', 'c1cnc2ccncc2c1', 'F[B-](F)(F)c1cccc(Br)c1', 'Brc1cncc2cccnc12', 'c1cnc2ccncc2c1']; [0.9999947547912598, 0.9997000098228455, 0.997525155544281, 0.9891946315765381, 0.9388272166252136, 0.9157323837280273, 0.8811748027801514]
+Cn1cc(-c2cncc3cccnc23)c2ccccc21; ['Brc1cncc2cccnc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999950528144836]
+c1ccc2cc(-c3cncc4cccnc34)ccc2c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1ccc2ccccc2c1', 'Br[Mg]c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'CC1(C)COB(c2ccc3ccccc3c2)OC1', 'Ic1ccc2ccccc2c1', 'F[B-](F)(F)c1ccc2ccccc2c1', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1ccc2ccccc2c1']; [0.9999995231628418, 0.9999974370002747, 0.9999917149543762, 0.9999586343765259, 0.9996784329414368, 0.9993606209754944, 0.9990190267562866, 0.9986613988876343, 0.8957237005233765, 0.8847798109054565, 0.8796694278717041]
+Oc1ccc(-c2cncc3cccnc23)cc1F; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Oc1ccc(Br)cc1F']; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F', 'c1cnc2ccncc2c1']; [0.9999995827674866, 0.9999865293502808, 0.9986422657966614, 0.9262114763259888]
+COc1cc(CCc2cncc3cccnc23)ccc1O; [None]; [None]; [0]
+c1cnc2c(-c3cnn4ncccc34)cncc2c1; ['Brc1cncc2cccnc12']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; [0.9999836683273315]
+COC(=O)c1ccc(Cl)c(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(I)c1']; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9999987483024597, 0.9996424913406372, 0.999439001083374, 0.9935815334320068, 0.9923109412193298, 0.8426982164382935]
+c1cnc2c(-c3c[nH]c4cnccc34)cncc2c1; ['Brc1cncc2cccnc12']; ['OB(O)c1c[nH]c2cnccc12']; [0.997148871421814]
+Nc1cc(-c2cncc3cccnc23)ccn1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1']; [0.9999997615814209, 0.9999697208404541, 0.9989916086196899]
+Fc1ccc(-c2cncc3cccnc23)cc1Cl; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(I)cc1Cl', 'Brc1cncc2cccnc12']; ['OB(O)c1ccc(F)c(Cl)c1', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc([Mg]Br)cc1Cl', 'Fc1ccc([B-](F)(F)F)cc1Cl', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'Fc1ccccc1Cl']; [1.0, 1.0, 0.9999992251396179, 0.9999891519546509, 0.9999600648880005, 0.9998928308486938, 0.9986261129379272, 0.9938497543334961, 0.9921063184738159, 0.9650448560714722]
+Oc1ccc(Cl)c(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12']; ['OB(O)c1cc(O)ccc1Cl']; [0.9970627427101135]
+Clc1ccccc1OCc1cncc2cccnc12; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Br']; [0.9999922513961792, 0.9939517974853516, 0.98891282081604, 0.8533428907394409]
+Oc1ncc(-c2cncc3cccnc23)cc1Cl; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Oc1ncc(Br)cc1Cl']; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Oc1ncc(Br)cc1Cl', 'Oc1ncccc1Cl', 'c1cnc2ccncc2c1']; [0.9999991655349731, 0.9963080883026123, 0.9925715923309326, 0.7877287864685059]
+Fc1ccc(-c2nc[nH]c2-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.9976610541343689]
+Oc1ccc(-c2cncc3cccnc23)c(O)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1cc(OC)cc(B(O)O)c1', 'Brc1cncc2cccnc12', 'COc1cc(I)cc(OC)c1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'c1cnc2ccncc2c1', 'COc1cccc(OC)c1', 'c1cnc2ccncc2c1']; [0.9999998807907104, 0.9999994039535522, 0.9999927282333374, 0.9994115829467773, 0.9993203282356262, 0.9982464909553528, 0.935688853263855, 0.8533477187156677]
+Cc1ccc2[nH]ncc2c1-c1cncc2cccnc12; [None]; [None]; [0]
+COc1ccc(-c2cncc3cccnc23)cc1OC; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(NN)cc1OC', 'Brc1cncc2cccnc12']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc([B-](F)(F)F)cc1OC', 'COc1ccc(Br)cc1OC', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'COc1ccccc1OC']; [0.9999997615814209, 0.9999929666519165, 0.9999867677688599, 0.999444842338562, 0.9986303448677063, 0.996807336807251, 0.9952853918075562, 0.984485387802124, 0.8702641725540161, 0.7991160750389099]
+NC(=O)c1cc(-c2cncc3cccnc23)c[nH]1; [None]; [None]; [0]
+c1cnc2c(-c3cnc4[nH]ccc4c3)cncc2c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1cncc2cccnc12']; [0.9999997019767761, 0.9999992847442627, 0.9997515678405762]
+Cc1nc2ccc(-c3cncc4cccnc34)cc2[nH]1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1']; [0.9999994039535522, 0.9887193441390991]
+CCOc1cccc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'CCOc1cccc(B(O)O)c1', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'CCOc1cccc(I)c1', 'CCOc1cccc(Br)c1']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(I)c1', 'c1cnc2ccncc2c1', 'CCOc1cccc([Mg]Br)c1', 'CCOc1cccc(Br)c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9999995231628418, 0.9999972581863403, 0.999955415725708, 0.9987947344779968, 0.9981231689453125, 0.9948936104774475, 0.9706606864929199, 0.9240537285804749]
+NC(=O)Nc1ccc(-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; [0.9999998211860657]
+CS(=O)(=O)c1ccc(-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'CS(=O)(=O)c1ccccc1']; [1.0, 0.9999982118606567, 0.9999946355819702, 0.999285101890564, 0.9936294555664062, 0.9701827764511108, 0.9697239398956299]
+c1cnc2c(-c3nc4ccccc4s3)cncc2c1; ['Brc1cncc2cccnc12', 'Nc1ccccc1S', 'Brc1cncc2cccnc12', 'Nc1ccccc1S']; ['c1ccc2scnc2c1', 'O=C(O)c1cncc2cccnc12', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'O=Cc1cncc2cccnc12']; [0.9999696612358093, 0.9999637603759766, 0.9999063014984131, 0.9997850060462952]
+CNC(=O)c1cccc2cc(-c3cncc4cccnc34)ccc12; [None]; [None]; [0]
+O=C1Cc2cc(-c3cncc4cccnc34)ccc2N1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9999964237213135, 0.9999498128890991, 0.9992423057556152, 0.9858828186988831]
+Oc1cncc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1']; [0.9999524354934692, 0.9997386932373047, 0.9593172669410706]
+COc1cc(CCc2cncc3cccnc23)cc(OC)c1; [None]; [None]; [0]
+CNc1nccc(-c2cncc3cccnc23)n1; ['Brc1cncc2cccnc12']; ['CNc1nccc(Cl)n1']; [0.9986929893493652]
+C[C@H](CC(N)=O)c1cncc2cccnc12; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; [0.9999980926513672]
+CCc1cc(O)ccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'CCc1cc(O)ccc1Br']; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'c1cnc2ccncc2c1']; [0.9999536275863647, 0.9573792219161987]
+CN(c1cccc(Cl)c1)c1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['CNc1cccc(Cl)c1']; [0.9507346153259277]
+Cc1n[nH]c(-c2cncc3cccnc23)c1C; ['Brc1cncc2cccnc12']; ['Cc1c[nH]nc1C']; [0.9982612133026123]
+Cc1cc(O)ccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Cc1cc(O)ccc1Br']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1Br', 'c1cnc2ccncc2c1']; [0.9999557137489319, 0.9980085492134094, 0.9451949596405029, 0.7691357731819153]
 Cc1n[nH]c2cc(N(C)c3cncc4cccnc34)ccc12; [None]; [None]; [0]
-Oc1cc(-c2cncc3cccnc23)nc2ccnn12; [None]; [None]; [0]
+FC(F)c1cc(-c2cncc3cccnc23)[nH]n1; ['Brc1cncc2cccnc12']; ['FC(F)c1cc[nH]n1']; [0.9589252471923828]
+CCc1sccc1-c1cncc2cccnc12; [None]; [None]; [0]
+Clc1cnccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Clc1cnccc1I', 'Clc1cnccc1Br']; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CC1(C)COB(c2ccncc2Cl)OC1', 'OB(O)c1ccncc1Cl', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9998970627784729, 0.9996632933616638, 0.9985661506652832, 0.9030817747116089, 0.8748281002044678]
+Oc1c(Cl)cc(-c2cncc3cccnc23)cc1Cl; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(Br)cc1Cl']; [0.9999995231628418, 0.9999862909317017, 0.9978995323181152]
+Oc1cc(-c2cncc3cccnc23)nc2ccnn12; ['Brc1cncc2cccnc12']; ['Oc1ccnc2ccnn12']; [0.9989728927612305]
+CNc1nc(-c2cncc3cccnc23)ncc1F; [None]; [None]; [0]
+c1cnc2c(-c3ccc4c(c3)CCN4)cncc2c1; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3cncc4cccnc34)cc2[nH]1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1']; [0.9999994039535522, 0.9999967813491821, 0.999939501285553]
 Cc1oc(-c2cncc3cccnc23)cc1C(=O)[O-]; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)c1cncc2cccnc12; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2-c2cncc3cccnc23)cc1; [None]; [None]; [0]
+c1cnc2c(Nc3ccncc3)cncc2c1; ['Brc1cncc2cccnc12']; ['Nc1ccncc1']; [0.9999529123306274]
+Fc1cc(Br)ccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'OB(O)c1ccc(Br)cc1F', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br', 'c1cnc2ccncc2c1', 'Fc1cccc(Br)c1']; [0.9999696016311646, 0.9981814622879028, 0.9934476613998413, 0.979705274105072, 0.8930186629295349, 0.8343110680580139]
+Fc1ccc2n[nH]c(-c3cncc4cccnc34)c2c1; ['Brc1cncc2cccnc12']; ['Fc1ccc2n[nH]cc2c1']; [0.9998881816864014]
+CNC(=O)c1ccc(-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1']; [1.0, 0.9999990463256836, 0.9989302158355713]
+Cn1ncc(N)c1-c1cncc2cccnc12; [None]; [None]; [0]
+Cc1cc(-c2cncc3cccnc23)ccc1C(N)=O; ['Brc1cncc2cccnc12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; [1.0]
+O=C(NC1CC1)c1ccc(-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'O=C(NC1CC1)c1ccc(I)cc1']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'c1cnc2ccncc2c1']; [1.0, 0.9999995231628418, 0.9998857975006104, 0.9872834086418152]
+Oc1cc(Br)cc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1']; [0.9999985694885254, 0.9999750256538391, 0.9963180422782898]
+CN(c1cccc2[nH]ncc12)c1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['CNc1cccc2[nH]ncc12']; [0.9999955892562866]
+Cc1nc2ccc(-c3cncc4cccnc34)cc2o1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; [1.0, 0.9999997615814209, 0.9981505870819092]
+Cc1cc(-c2cncc3cccnc23)cc(C)c1O; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Cc1cc(B(O)O)cc(C)c1O', 'Brc1cncc2cccnc12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'c1cnc2ccncc2c1', 'Cc1cccc(C)c1O']; [0.9999986886978149, 0.9998406171798706, 0.987250566482544, 0.9546467065811157, 0.8937331438064575]
+Oc1c(F)cc(-c2cncc3cccnc23)cc1F; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(I)cc1F']; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cccc1F', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.999998152256012, 0.999847412109375, 0.9919548034667969, 0.9363340139389038, 0.8934926986694336, 0.792803168296814]
+O=c1[nH][nH]c2cc(-c3cncc4cccnc34)ccc12; ['Brc1cncc2cccnc12']; ['O=c1[nH][nH]c2cc(Br)ccc12']; [0.9991708993911743]
+CSc1cccc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc([B-](F)(F)F)c1', 'CSc1cccc(Br)c1']; [0.9999984502792358, 0.9997678995132446, 0.9982379674911499, 0.9430272579193115]
+c1ccc2c(COc3cncc4cccnc34)cccc2c1; ['Brc1cncc2cccnc12']; ['OCc1cccc2ccccc12']; [0.8796461820602417]
+Fc1ccc(Oc2cncc3cccnc23)c(F)c1; ['Brc1cncc2cccnc12']; ['Oc1ccc(F)cc1F']; [0.9999363422393799]
+Cc1onc(-c2ccccc2)c1-c1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['Cc1onc(-c2ccccc2)c1B(O)O']; [0.9999987483024597]
+Fc1ccc(-c2ncoc2-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12']; ['Fc1ccc(-c2cocn2)cc1']; [0.9999775886535645]
+Fc1ccc(COc2cncc3cccnc23)c(F)c1; ['Brc1cncc2cccnc12']; ['OCc1ccc(F)cc1F']; [0.9995259046554565]
+Fc1cccc(Cl)c1CNc1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['NCc1c(F)cccc1Cl']; [1.0]
+Clc1ccc(-c2[nH]ncc2-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12']; ['Clc1ccc(-c2ccn[nH]2)cc1']; [0.9715218544006348]
+c1cnc2c(CCc3c[nH]c4ccccc34)cncc2c1; [None]; [None]; [0]
+Fc1ccc(CCc2cncc3cccnc23)c(F)c1; ['Brc1cncc2cccnc12']; ['Fc1ccc(CCBr)c(F)c1']; [0.9998893737792969]
+Cc1nnc(-c2ccccc2-c2cncc3cccnc23)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; [0.9998942017555237]
+CNC(=O)c1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
+CCOc1ccccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'CCOc1ccccc1B(O)O', 'Brc1cncc2cccnc12', 'CCOc1ccccc1Br', 'Brc1cncc2cccnc12']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'c1cnc2ccncc2c1', 'CCOc1ccccc1Br', 'c1cnc2ccncc2c1', 'CCOc1ccccc1']; [0.9999810457229614, 0.9998941421508789, 0.9922901391983032, 0.9818246364593506, 0.9778180122375488, 0.9636162519454956]
+Fc1cc(F)cc(Cc2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'O=Cc1cc(F)cc(F)c1', 'Fc1cc(F)cc(CCl)c1', 'O=Cc1cc(F)cc(F)c1']; ['Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1', 'Fc1cc(F)cc(CBr)c1', 'c1cnc2c(c1)CNCC2', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9999995231628418, 0.9999986290931702, 0.9999910593032837, 0.9999872446060181, 0.9999443292617798, 0.9652700424194336, 0.8834291100502014]
+CP(C)(=O)c1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
+CCn1cc(-c2cncc3cccnc23)cn1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'CCn1cc(B(O)O)cn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cccn1', 'c1cnc2ccncc2c1']; [0.9999995231628418, 0.999956488609314, 0.9984335899353027, 0.9876409769058228]
+FC(F)(F)c1cccc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'CCCC[Sn](CCCC)(CCCC)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'F[B-](F)(F)c1cccc(C(F)(F)F)c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'FC(F)(F)c1ccccc1']; [1.0, 0.9999934434890747, 0.9999932646751404, 0.9999820590019226, 0.9996236562728882, 0.999274730682373, 0.9985238313674927, 0.9973524808883667, 0.9880294799804688, 0.7959513068199158]
+c1cnc2c(-c3ccnc4ccccc34)cncc2c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'OB(O)c1ccnc2ccccc12']; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'OB(O)c1ccnc2ccccc12', 'CCCC[Sn](CCCC)(CCCC)c1ccnc2ccccc12', 'c1cnc2ccncc2c1']; [0.9999858140945435, 0.9998786449432373, 0.9978545904159546, 0.9269727468490601]
+FC(F)(F)Oc1ccccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'NNc1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1']; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9999994039535522, 0.9999929666519165, 0.9999863505363464, 0.9997339248657227, 0.999488353729248, 0.9993629455566406, 0.9990208745002747, 0.9990116953849792, 0.9837932586669922, 0.9136033654212952]
+COC(C)(C)CCc1cncc2cccnc12; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cncc4cccnc34)cn2)cc1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'OB(O)c1cnn(Cc2ccccc2)c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'c1cnc2ccncc2c1']; [0.9999997615814209, 0.99998939037323, 0.9975879192352295]
+NC(=O)c1ccccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; [0.9999768137931824, 0.9969273805618286, 0.9775912165641785]
+Cn1cnc2ccc(-c3cncc4cccnc34)cc2c1=O; ['Brc1cncc2cccnc12', 'Cn1cnc2ccc(Br)cc2c1=O']; ['Cn1cnc2ccc(Br)cc2c1=O', 'c1cnc2ccncc2c1']; [0.9997435212135315, 0.7851253747940063]
+CC(C)(C)c1nc(-c2cncc3cccnc23)cs1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1', 'CC(C)(C)c1nccs1']; [1.0, 0.99519944190979]
+OCCn1cc(-c2cncc3cccnc23)cn1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1']; [0.9999994039535522, 0.9999712705612183, 0.999100923538208]
+c1ccc(-c2ncc(-c3cncc4cccnc34)[nH]2)cc1; ['Brc1cncc2cccnc12']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.923535943031311]
+Clc1ccc(Cl)c(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl']; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9999862313270569, 0.9998081922531128, 0.9985588192939758, 0.9940284490585327, 0.9890117049217224, 0.8185281753540039]
+CC(C)C(=O)COc1cncc2cccnc12; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Cc1cn2ccccc2n1']; ['Cc1cn2ccccc2n1', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1C(=O)O', 'c1cnc2ccncc2c1']; [0.9999299645423889, 0.9997024536132812, 0.9993640184402466, 0.9549481868743896]
+Cc1ccc(-c2cncc3cccnc23)c(Br)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(I)c(Br)c1']; [0.9929643869400024, 0.85565185546875]
+O=C(Nc1cccc(-c2cncc3cccnc23)c1)c1ccccc1; [None]; [None]; [0]
+c1cnc2c(-c3cnc4ccccn34)cncc2c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'c1ccn2ccnc2c1']; ['O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1cnc2ccncc2c1']; [0.999912440776825, 0.999875545501709, 0.9244928359985352]
+COc1cnc(-c2cncc3cccnc23)nc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cncc2cccnc12; [None]; [None]; [0]
+Cc1nc(C)c(-c2cncc3cccnc23)s1; ['Brc1cncc2cccnc12']; ['Cc1csc(C)n1']; [0.998304009437561]
+CNc1nc(C)c(-c2cncc3cccnc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['Cc1csc(N)n1']; [0.9769068360328674]
+c1cnc2c(-c3cnc4cccnn34)cncc2c1; ['Brc1cncc2cccnc12', 'Brc1cnc2cccnn12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['Clc1cnc2cccnn12', 'Brc1cncc2cccnc12', 'c1cnn2ccnc2c1', 'O=C(O)c1cnc2cccnn12']; [0.999996542930603, 0.9999957084655762, 0.999977707862854, 0.9998778104782104]
+c1cncc(CNc2cncc3cccnc23)c1; ['Brc1cncc2cccnc12']; ['NCc1cccnc1']; [0.9999805092811584]
 Cc1c(-c2cncc3cccnc23)sc(=O)n1C; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cncc3cccnc23)o1; [None]; [None]; [0]
+c1cnc2c(NCCc3c[nH]cn3)cncc2c1; ['Brc1cncc2cccnc12']; ['NCCc1c[nH]cn1']; [0.9971950054168701]
+c1cncc(Nc2cncc3cccnc23)c1; ['Brc1cncc2cccnc12']; ['Nc1cccnc1']; [0.9999411106109619]
+O=C(Nc1cncc2cccnc12)c1cccs1; [None]; [None]; [0]
+c1cnc2c(-n3cnc4ccccc43)cncc2c1; ['Brc1cncc2cccnc12']; ['c1ccc2[nH]cnc2c1']; [0.9997115135192871]
+Cc1ccc(Cl)c(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9998544454574585, 0.9989522695541382, 0.9936931133270264, 0.9804441928863525, 0.9715534448623657, 0.8969157338142395]
+c1cc(Cn2cncn2)cc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
+c1ccc(CCNc2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12']; ['NCCc1ccccc1']; [0.9998679161071777]
+FC(F)(F)c1n[nH]cc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Br']; [0.9999852180480957, 0.9837827086448669]
+c1ccc2c(-c3cncc4cccnc34)cncc2c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2ccccc12']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'OB(O)c1cncc2ccccc12', 'Ic1cncc2ccccc12', 'F[B-](F)(F)c1cncc2ccccc12', 'Brc1cncc2cccnc12']; [0.9999041557312012, 0.9994235038757324, 0.9987930059432983, 0.9960628747940063, 0.9940800666809082, 0.9519126415252686]
+NC(=O)c1c(F)cccc1-c1cncc2cccnc12; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cncc4cccnc34)ccc12; ['Brc1cncc2cccnc12']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.9997471570968628]
+Clc1ccc(CNc2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12']; ['NCc1ccc(Cl)cc1']; [0.9999620914459229]
+Cn1cc(-c2ccc(-c3cncc4cccnc34)cc2)cn1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; [1.0, 0.9995801448822021]
+O=C([O-])Cc1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
 CN1c2ccc(-c3cncc4cccnc34)cc2CS1(=O)=O; [None]; [None]; [0]
+CCCn1cnc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cncc4cccnc34)ccc21; [None]; [None]; [0]
+OCc1cccc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1']; [0.9999995231628418, 0.9998754262924194, 0.999737024307251, 0.9905335903167725]
+Fc1ccccc1CNc1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['NCc1ccccc1F']; [0.9999969601631165]
+c1cnc2c(-c3ccc(-c4cn[nH]c4)cc3)cncc2c1; [None]; [None]; [0]
+CC(C)n1cc(-c2cncc3cccnc23)nn1; ['Brc1cncc2cccnc12']; ['CC(C)n1ccnn1']; [0.9999382495880127]
+CSc1nc(-c2cncc3cccnc23)c[nH]1; ['Brc1cncc2cccnc12']; ['CSc1ncc[nH]1']; [0.8711190223693848]
+c1cnc2c(-c3csc4ncncc34)cncc2c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['Brc1csc2ncncc12', 'c1ncc2ccsc2n1']; [0.9909073710441589, 0.9056971073150635]
 COc1cc(-c2cncc3cccnc23)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cncc3cccnc23)nn1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12']; ['N#CCCc1cccc(B(O)O)c1']; [0.9999948143959045]
+c1ccc2[nH]c(-c3cncc4cccnc34)cc2c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'OB(O)c1cc2ccccc2[nH]1', 'c1ccc2[nH]ccc2c1']; [0.9999992847442627, 0.9999927878379822, 0.9739546775817871]
+CC(C)c1oncc1-c1cncc2cccnc12; [None]; [None]; [0]
+Nc1nc(-c2cncc3cccnc23)cs1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.9999995827674866]
+Fc1ccc(-c2cncc3cccnc23)c(C(F)(F)F)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9999857544898987, 0.9996402263641357, 0.9952102303504944, 0.987686038017273, 0.983633279800415, 0.9423731565475464]
 c1cnc2c(CCc3c[nH]nn3)cncc2c1; [None]; [None]; [0]
+Nc1ncncc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['Nc1ncncc1Br']; [0.97722327709198]
+c1ccc(Oc2cncc3cccnc23)nc1; ['Brc1cncc2cccnc12']; ['Oc1ccccn1']; [0.8531920313835144]
+CC(=O)Nc1cccc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'CC(=O)Nc1cccc(Br)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc([B-](F)(F)F)c1', 'c1cnc2ccncc2c1']; [1.0, 0.9999903440475464, 0.9996534585952759, 0.9993228912353516, 0.8657853007316589]
+CCNc1nc2ccc(-c3cncc4cccnc34)cc2s1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cncc3cccnc23)CC1; ['Brc1cncc2cccnc12']; ['CS(=O)(=O)C1CCNCC1']; [0.9923239946365356]
+CC(C)(COc1cncc2cccnc12)S(C)(=O)=O; [None]; [None]; [0]
+NC(=O)CCCc1cncc2cccnc12; [None]; [None]; [0]
+COc1ccc(-c2cncc3cccnc23)cc1Cl; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1ccc(Br)cc1Cl', 'Brc1cncc2cccnc12', 'COc1ccc(NN)cc1Cl']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'COc1ccc(Br)cc1Cl', 'COc1ccc([Mg]Br)cc1Cl', 'c1cnc2ccncc2c1', 'COc1ccccc1Cl', 'c1cnc2ccncc2c1']; [1.0, 0.9999990463256836, 0.9999974966049194, 0.9997868537902832, 0.9996249675750732, 0.9996107816696167, 0.9986774921417236, 0.9982370734214783, 0.9796018600463867, 0.958269476890564]
+CCCn1cc(-c2cncc3cccnc23)cn1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; [1.0, 0.9999923706054688]
+c1cnc2c(-c3cnn4ccccc34)cncc2c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'c1ccn2nccc2c1']; [0.999984860420227, 0.9999065399169922, 0.9993928670883179]
+O=c1cc(-c2cncc3cccnc23)cc[nH]1; ['Brc1cncc2cccnc12']; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; [0.9999996423721313]
 CC(C)(O)CC(=O)NCCc1cncc2cccnc12; [None]; [None]; [0]
 O=C(Nc1cncc2cccnc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-CC(C)(COc1cncc2cccnc12)S(C)(=O)=O; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cncc4cccnc34)c21; ['Brc1cncc2cccnc12', 'O=C1CCc2cccc(Br)c21']; ['O=C1CCc2cccc(Br)c21', 'c1cnc2ccncc2c1']; [0.9932413101196289, 0.9750465154647827]
+CC(C)(N)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
+CCN(CC)c1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['CCNCC']; [0.9882756471633911]
+CCNS(=O)(=O)c1ccccc1-c1cncc2cccnc12; [None]; [None]; [0]
+C[C@@H](Oc1cncc2cccnc12)c1c(Cl)cncc1Cl; ['Brc1cncc2cccnc12', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'c1cnc2ccncc2c1']; [0.9986988306045532, 0.9105995893478394]
 [NH3+]Cc1ccc(-c2cncc3cccnc23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1cncc2cccnc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cncc4cccnc34)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1cncc2cccnc12; ['Brc1cncc2cccnc12', 'COc1ccncc1N']; ['COc1ccncc1N', 'c1cnc2ccncc2c1']; [0.9998186826705933, 0.9949236512184143]
+c1ccc(-c2ccncc2Nc2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12', 'Nc1cnccc1-c1ccccc1']; ['Nc1cnccc1-c1ccccc1', 'c1cnc2ccncc2c1']; [0.9999756813049316, 0.9916772246360779]
+C[S@](=O)c1ccc(-c2cncc3cccnc23)cc1; [None]; [None]; [0]
+c1ccc2ncc(Nc3cncc4cccnc34)cc2c1; ['Brc1cncc2cccnc12']; ['Nc1cnc2ccccc2c1']; [0.999876856803894]
+CC(C)(C)c1ccc(-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Brc1cncc2cccnc12', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(NN)cc1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc([B-](F)(F)F)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'c1cnc2ccncc2c1', 'CC(C)(C)c1ccccc1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [1.0, 0.9999960660934448, 0.999978244304657, 0.9999419450759888, 0.9998204708099365, 0.9967513084411621, 0.9900370836257935, 0.9842723608016968, 0.9838101267814636, 0.8076415061950684]
+CC(C)Oc1cncc(-c2cncc3cccnc23)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'CC(C)Oc1cncc(Br)c1', 'Brc1cncc2cccnc12']; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1', 'c1cnc2ccncc2c1', 'CC(C)Oc1cccnc1']; [0.9999985694885254, 0.9999903440475464, 0.9991594552993774, 0.9903814196586609, 0.9460304975509644]
+COc1cccc(F)c1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1cccc(F)c1B(O)O', 'Brc1cncc2cccnc12', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Br', 'c1cnc2ccncc2c1', 'COc1cccc(F)c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [1.0, 0.999998927116394, 0.9999943971633911, 0.9999815225601196, 0.9996758699417114, 0.9995408058166504, 0.9995133280754089, 0.9975724816322327, 0.7872281670570374]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [1.0, 0.9999977946281433, 0.9989429116249084]
 O=c1[nH]cc(Br)c2sc(-c3cncc4cccnc34)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2cncc3cccnc23)cc1; [None]; [None]; [0]
+c1cnc2c(-c3ccc(N4CCOCC4)cc3)cncc2c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1cncc2cccnc12', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [1.0, 0.9999995827674866, 0.9999947547912598, 0.9999812245368958, 0.999961256980896, 0.9349967241287231, 0.9052470922470093]
+CC1(c2cncc3cccnc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cncc2cccnc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 C[C@H](Nc1cncc2cccnc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
-c1ccc(-c2ccc3nnc(Cc4cncc5cccnc45)n3n2)cc1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cncc2cccnc12; [None]; [None]; [0]
+C[C@@H](Nc1cncc2cccnc12)C(C)(C)O; ['Brc1cncc2cccnc12']; ['C[C@@H](N)C(C)(C)O']; [0.9988418817520142]
+Cc1cc(-c2cncc3cccnc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+C[C@H](Nc1cncc2cccnc12)C(C)(C)O; ['Brc1cncc2cccnc12']; ['C[C@H](N)C(C)(C)O']; [0.9988418817520142]
+OCCc1cn(-c2cncc3cccnc23)cn1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['OCCc1c[nH]cn1', 'OCCc1cnc[nH]1']; [0.9999958276748657, 0.9999685883522034]
+OCc1ccn(-c2cncc3cccnc23)n1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Fc1cccc(Cl)c1Br', 'Brc1cncc2cccnc12', 'Fc1cccc(Cl)c1I', 'NNc1c(F)cccc1Cl']; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Br', 'c1cnc2ccncc2c1', 'Fc1cccc(Cl)c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [1.0, 0.9999994039535522, 0.9999982714653015, 0.9999966621398926, 0.9991790056228638, 0.9971778392791748, 0.9970805048942566, 0.9444733262062073]
+c1cnc2c(-n3ncc4ccccc43)cncc2c1; ['Brc1cncc2cccnc12']; ['c1ccc2[nH]ncc2c1']; [0.9998632669448853]
+Oc1cccc2c1cnn2-c1cncc2cccnc12; ['Brc1cncc2cccnc12']; ['Oc1cccc2[nH]ncc12']; [0.9993340969085693]
+c1cnc2c(-c3ccc(-n4cncn4)cc3)cncc2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cncc4cccnc34)[nH]c2c1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cncc2cccnc12; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cncc3cccnc23)cc1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9999991655349731, 0.9999887943267822, 0.9975510835647583, 0.9922910928726196, 0.9766957759857178]
+COc1ccc(-c2cncc3cccnc23)c(OC)c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1cccc(OC)c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.999997615814209, 0.9999732971191406, 0.9998980760574341, 0.9946231842041016, 0.9929803609848022, 0.9412593841552734, 0.9318981170654297, 0.8477370142936707]
+CSc1nc(C)c(-c2cncc3cccnc23)[nH]1; [None]; [None]; [0]
+c1cnc2c(-c3nncn3C3CC3)cncc2c1; [None]; [None]; [0]
 O=S(=O)(Cc1cncc2cccnc12)NCc1ccccn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cncc3cccnc23)CC1; [None]; [None]; [0]
+c1ccc(-c2ccc3nnc(Cc4cncc5cccnc45)n3n2)cc1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cncc4cccnc34)nn2)cc1; ['Brc1cncc2cccnc12']; ['c1ccc(Cn2ccnn2)cc1']; [0.9997929334640503]
+Nc1nnc(-c2cncc3cccnc23)s1; ['NNC(N)=S']; ['O=C(O)c1cncc2cccnc12']; [0.9613158106803894]
+CCc1cc(-c2cncc3cccnc23)nc(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cncc3cccnc23)s1; ['Brc1cncc2cccnc12']; ['CNC(=O)c1ccc(Br)s1']; [0.9996083378791809]
+[NH3+]CCn1ccc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
+O=C(CCc1cncc2cccnc12)NCc1ccccn1; [None]; [None]; [0]
+CCCCc1cc(-c2cncc3cccnc23)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cncc4cccnc34)nc2NC1=O; ['Brc1cncc2cccnc12']; ['CC1(C)Oc2cccnc2NC1=O']; [0.9994196891784668]
+c1cnc2c(-c3cccc4ccsc34)cncc2c1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'OB(O)c1cccc2ccsc12']; [0.9999980926513672, 0.9997695684432983]
+Nc1cncc(-c2cncc3cccnc23)n1; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1']; [0.9977196455001831, 0.8701649308204651]
 Cn1cc(C(N)=O)cc1-c1cncc2cccnc12; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cncc3cccnc23)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cncc4cccnc34)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cncc4cccnc34)c2)cc1; [None]; [None]; [0]
 c1cnc2c(-c3cccc4nnsc34)cncc2c1; [None]; [None]; [0]
-COc1ccc(Oc2cncc3cccnc23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cncc3cccnc23)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cncc3cccnc23)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cncc4cccnc34)c2)cc1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cncc3cccnc23)[nH]1; [None]; [None]; [0]
+c1cnc2c(-c3ncc4cc[nH]c4n3)cncc2c1; [None]; [None]; [0]
+c1ccc2nc(-c3cncc4cccnc34)ncc2c1; [None]; [None]; [0]
+Nc1nc(-c2cncc3cccnc23)nc2ccccc12; [None]; [None]; [0]
+c1cnc2c(-c3c[nH]c4cccnc34)cncc2c1; [None]; [None]; [0]
+OCCn1cnc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I']; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1', 'c1cnc2ccncc2c1']; [0.9999931454658508, 0.9999783039093018, 0.9999520182609558, 0.999347448348999, 0.997238278388977, 0.9971652030944824, 0.9967710971832275]
+COc1ccc(Oc2cncc3cccnc23)c(F)c1F; ['Brc1cncc2cccnc12']; ['COc1ccc(O)c(F)c1F']; [0.9991236329078674]
+COc1ncccc1-c1cncc2cccnc12; ['Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12', 'COc1ncccc1Br', 'Brc1cncc2cccnc12', 'Brc1cncc2cccnc12']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'c1cnc2ccncc2c1', 'COc1ncccc1Br', 'COc1ccccn1']; [0.9999597072601318, 0.9993693232536316, 0.9970254898071289, 0.985808253288269, 0.9795200824737549, 0.9553494453430176]
+c1cnc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cncc2c1; ['Brc1cncc2cccnc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9991017580032349]
+COc1ccc(OC)c(-c2cncc3cccnc23)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cncc3cccnc23)c1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cncc3cccnc23)CC1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2cncc3cccnc23)C1; ['Brc1cncc2cccnc12']; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.9999591708183289]
 O=C(Nc1cccc(-c2cncc3cccnc23)c1)C1CCNCC1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ncc4ccccc4n3)n[nH]c2c1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
-COc1ncccc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3cc(C#N)ccc23)cc(OC)c1OC; [None]; [None]; [0]
+CN(C)c1cc(-c2cncc3cccnc23)cnn1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9999992251396179, 0.9999990463256836]
+CCOc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Br)cc1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999995827674866, 0.9999968409538269, 0.9999967813491821, 0.999983549118042, 0.9999265670776367, 0.9983659982681274, 0.9948839545249939, 0.9115030765533447, 0.8313884735107422]
+COc1ncccc1-c1n[nH]c2cc(C#N)ccc12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999986886978149, 0.9999960064888, 0.9999772310256958, 0.9999144077301025, 0.9998468160629272, 0.9989143013954163, 0.9511173963546753, 0.765608549118042]
+CS(=O)(=O)c1cccc(-c2n[nH]c3cc(C#N)ccc23)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999986886978149, 0.9999980926513672, 0.9999960064888, 0.9999915361404419, 0.9998033046722412, 0.9963318109512329, 0.9889850616455078]
+COc1cc(-c2n[nH]c3cc(C#N)ccc23)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999936819076538, 0.9999852180480957, 0.9999762773513794, 0.9999711513519287, 0.9998072981834412, 0.9987561702728271, 0.9954105615615845, 0.9239389896392822, 0.9187982082366943]
 Cc1ccc2ncn(-c3n[nH]c4cc(C#N)ccc34)c2c1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
+N#Cc1ccc2c(-c3ncc4ccccc4n3)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3nc4ccccc4[nH]3)n[nH]c2c1; ['N#Cc1ccc2c(C(=O)O)n[nH]c2c1']; ['Nc1ccccc1N']; [0.9999247789382935]
+N#Cc1ccc(O)c(-c2n[nH]c3cc(C#N)ccc23)c1; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1']; [0.9981949329376221, 0.9940688014030457]
+COc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999983310699463, 0.9999973177909851, 0.9999715685844421, 0.9999702572822571, 0.9992524981498718, 0.9965275526046753, 0.9331351518630981, 0.8965212106704712]
+N#Cc1ccc2c(-c3cccc(O)c3)n[nH]c2c1; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; ['OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1']; [0.9999966621398926, 0.9999924898147583, 0.9999606609344482, 0.9998581409454346, 0.9988812208175659, 0.989880383014679, 0.7895188331604004]
+N#Cc1ccc2c(-c3cccc(NC(=O)C4CC4)c3)n[nH]c2c1; ['N#Cc1ccc2c(Br)n[nH]c2c1']; ['O=C(Nc1cccc(Br)c1)C1CC1']; [0.9998195767402649]
 N#Cc1ccc2c(-c3cnc4cccnn34)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3cccc(O)c3)n[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3ccc(C(=O)[O-])cc3)n[nH]c2c1; [None]; [None]; [0]
 N#Cc1ccc2c(-c3ccc(N4CCOCC4)cc3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3cccc(NC(=O)C4CC4)c3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3nc4ccccc4[nH]3)n[nH]c2c1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3n[nH]c4cc(C#N)ccc34)cc2)CC1; [None]; [None]; [0]
 Cc1cc(Nc2n[nH]c3cc(C#N)ccc23)sn1; [None]; [None]; [0]
-N#Cc1ccc2c(-n3ncc4ccccc4c3=O)n[nH]c2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2n[nH]c3cc(C#N)ccc23)cn1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ccc(C(=O)[O-])cc3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ccc(C(N)=O)cc3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(Nc3ncccn3)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3ccc(C(N)=O)cc3)n[nH]c2c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; [1.0, 0.9999998211860657, 0.9999982118606567, 0.9999974966049194]
+N#Cc1ccc2c(Nc3ncccn3)n[nH]c2c1; ['Clc1ncccn1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'CS(=O)c1ncccn1', 'CS(=O)(=O)c1ncccn1']; ['N#Cc1ccc2c(N)n[nH]c2c1', 'Nc1ncccn1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1']; [0.9998555779457092, 0.9997670650482178, 0.9995095729827881, 0.9917505979537964]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3n[nH]c4cc(C#N)ccc34)cc2)CC1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3n[nH]c4cc(C#N)ccc34)cn2)c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ccc(C(=O)Nc4ccccc4)cc3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(Cc3nccc4ccccc34)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ccc(OCCO)cc3)n[nH]c2c1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3cccc(C4CCNCC4)c3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ccc(C(=O)N4CCOCC4)cc3)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3nccc4ccccc34)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3cccc(C4CCNCC4)c3)n[nH]c2c1; ['Brc1cccc(C2CCNCC2)c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1']; [0.996563196182251]
+CC(=O)NCc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999997615814209, 0.9999997615814209, 0.9999977350234985, 0.9999940395355225, 0.9992486834526062, 0.9974051713943481, 0.8705874681472778]
+N#Cc1ccc2c(Nc3ccncn3)n[nH]c2c1; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'Clc1ccncn1', 'Fc1ccncn1', 'Brc1ccncn1']; ['Nc1ccncn1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1']; [0.9999961256980896, 0.9999901652336121, 0.999957799911499, 0.99991774559021]
+N#Cc1ccc2c(-c3ccc(C(=O)Nc4ccccc4)cc3)n[nH]c2c1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [1.0, 1.0, 0.9999989867210388, 0.9999974966049194]
+N#Cc1ccc2c(-c3ccc(OCCO)cc3)n[nH]c2c1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(Br)cc1']; [0.9999997615814209, 0.9999990463256836, 0.9999837875366211, 0.999970018863678, 0.9672898054122925, 0.7949366569519043]
+N#Cc1ccc2c(-c3ccc(C(=O)N4CCOCC4)cc3)n[nH]c2c1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 1.0, 1.0, 0.9999998807907104, 0.9999291300773621]
+CNS(=O)(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9999988079071045, 0.9999987483024597, 0.9999908208847046, 0.9999903440475464, 0.961395263671875]
 N#Cc1ccc2c(-c3ccc(C(=O)N4CCOCC4)cn3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(Nc3ccncn3)n[nH]c2c1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
 N#Cc1ccc2c(-c3ccc4c(c3)CS(=O)(=O)C4)n[nH]c2c1; [None]; [None]; [0]
 N#Cc1ccc2c(-c3ccc(C(F)(F)F)cc3)n[nH]c2c1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
 CN(C)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2n[nH]c3cc(C#N)ccc23)s1; ['Cc1csc(C)n1']; ['N#Cc1ccc2cn[nH]c2c1']; [0.96771240234375]
 CN(C)S(=O)(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-N#Cc1ccc2c(Cc3ccccc3O)n[nH]c2c1; [None]; [None]; [0]
-Cc1nc(C)c(-c2n[nH]c3cc(C#N)ccc23)s1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9999871253967285, 0.9999856948852539, 0.9831229448318481]
+C[C@H](O)COc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2n[nH]c3cc(C#N)ccc23)CC1; [None]; [None]; [0]
-N#Cc1ccc2c(Cc3cnc(N)nc3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c([C@H]3CCN(C(=O)c4ccccc4)C3)n[nH]c2c1; [None]; [None]; [0]
-CC(C)c1cc(-c2n[nH]c3cc(C#N)ccc23)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3n[nH]c4cc(C#N)ccc34)c2)CC1; [None]; [None]; [0]
+CC(C)c1cc(-c2n[nH]c3cc(C#N)ccc23)nc(N)n1; [None]; [None]; [0]
+N#Cc1ccc2c([C@H]3CCN(C(=O)c4ccccc4)C3)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3ccc(Br)cc3)n[nH]c2c1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'Brc1ccc(I)cc1', 'Cc1ccc(S(=O)(=O)NN=Cc2ccc(Br)cc2)cc1', 'N#Cc1ccc2cn[nH]c2c1', 'Brc1ccc(I)cc1', 'Brc1ccc(Br)cc1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1cccc([N+](=O)[O-])c1', 'OB(O)c1ccc(Br)cc1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9999997615814209, 0.9999989867210388, 0.9999917149543762, 0.999944806098938, 0.9987455010414124, 0.9951267242431641, 0.9918587803840637, 0.9651646614074707, 0.9234129786491394]
 CCCOc1ccc(-c2n[nH]c3cc(C#N)ccc23)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ccc(Br)cc3)n[nH]c2c1; [None]; [None]; [0]
-COc1ccc(Cc2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9999750852584839, 0.9998881816864014, 0.9997888803482056, 0.9976416826248169, 0.9896645545959473]
+N#Cc1ccc2c(-c3ccn4nccc4n3)n[nH]c2c1; [None]; [None]; [0]
 CN(C)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
-N#Cc1ccc2c(-c3c[nH]c4ccccc34)n[nH]c2c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2n[nH]c3cc(C#N)ccc23)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1n[nH]c2cc(C#N)ccc12; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Br']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999849796295166, 0.9999147653579712, 0.9999110698699951, 0.99660325050354, 0.9913904666900635, 0.9841638803482056]
+N#Cc1ccc2c(-c3ccccc3-n3cccn3)n[nH]c2c1; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3n[nH]c4cc(C#N)ccc34)[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3c[nH]c4ccccc34)n[nH]c2c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1c[nH]c2ccccc12', 'N#Cc1ccc2c(I)n[nH]c2c1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999590516090393, 0.9999555945396423, 0.9999340772628784, 0.9995387196540833, 0.9746237993240356, 0.9634110331535339, 0.9126380681991577, 0.7959125638008118]
+COc1cc(OC)c(-c2n[nH]c3cc(C#N)ccc23)cc1Cl; ['COc1cc(OC)c(Br)cc1Cl']; ['N#Cc1ccc2c(Br)n[nH]c2c1']; [0.993755042552948]
 N#Cc1ccc2c(-c3ccc4c(c3)CCO4)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3cc4ccccc4cn3)n[nH]c2c1; [None]; [None]; [0]
 N#Cc1ccc2c(-c3cc(-c4ccccc4)[nH]n3)n[nH]c2c1; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
 COc1cc(-c2n[nH]c3cc(C#N)ccc23)ccc1O; [None]; [None]; [0]
-N#Cc1ccc2c(-c3cccc4c3OCO4)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3scc4c3OCCO4)n[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3cccc4c3OCO4)n[nH]c2c1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'Brc1cccc2c1OCO2', 'N#Cc1ccc2c(I)n[nH]c2c1', 'Ic1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'N#Cc1ccc2cn[nH]c2c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'OB(O)c1cccc2c1OCO2', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1cccc2c1OCO2', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'OB(O)c1cccc2c1OCO2']; [0.9999976754188538, 0.9999939799308777, 0.9999897480010986, 0.9996507167816162, 0.9989527463912964, 0.9651266932487488, 0.9609049558639526, 0.9456839561462402]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999995827674866, 0.9999995231628418, 0.9999946355819702, 0.9999939799308777, 0.9999372363090515, 0.9980500936508179, 0.9934959411621094, 0.9492693543434143, 0.8099378347396851]
+CN(C)C(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [1.0, 1.0, 0.9999980926513672, 0.9999979734420776, 0.9970517754554749, 0.9949647188186646]
+CC1(COc2n[nH]c3cc(C#N)ccc23)COC1; ['CC1(CO)COC1']; ['N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9987239837646484]
+CC(C)(C)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [1.0, 0.9999996423721313, 0.999998927116394, 0.9999955296516418, 0.9991805553436279, 0.9650550484657288]
 N#Cc1ccc2c(-c3cnc4ccccc4c3)n[nH]c2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cn1; [None]; [None]; [0]
-N#Cc1ccc2c(Cc3nc4c(F)c(F)ccc4[nH]3)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3scc4c3OCCO4)n[nH]c2c1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2n[nH]c3cc(C#N)ccc23)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COC(=O)c1cccc(OC)c1']; ['N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1']; [0.9999995231628418, 0.9999995231628418, 0.9996817708015442]
 CC(=O)N[C@@H]1CC[C@@H](c2n[nH]c3cc(C#N)ccc23)CC1; [None]; [None]; [0]
-CC1(COc2n[nH]c3cc(C#N)ccc23)COC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3n[nH]c4cc(C#N)ccc34)cc2)CC1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3ccn(-c4cccc(Cl)c4)n3)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3csc(N)n3)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3cc4ccccc4s3)n[nH]c2c1; ['N#Cc1ccc2cn[nH]c2c1']; ['c1ccc2sccc2c1']; [0.9966632127761841]
+CSc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(I)cc1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999986886978149, 0.9999975562095642, 0.9999871253967285, 0.9999817609786987, 0.9996082782745361, 0.973501443862915, 0.907274603843689]
+CCN1CCN(Cc2ccc(-c3n[nH]c4cc(C#N)ccc34)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9999980926513672, 0.9999978542327881, 0.9923503398895264]
+N#Cc1ccc2c(-c3ccc(F)cc3Cl)n[nH]c2c1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Fc1ccc(I)c(Cl)c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'Fc1ccc(Br)c(Cl)c1', 'N#Cc1ccc2cn[nH]c2c1', 'Fc1ccc(Br)c(Cl)c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1ccc(F)cc1Cl', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1ccc(F)cc1Cl', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1ccc(F)cc1Cl', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999959468841553, 0.9999855756759644, 0.9999781847000122, 0.9998950362205505, 0.9998007416725159, 0.9993469715118408, 0.9270273447036743, 0.8840545415878296]
 Cc1cc(-c2n[nH]c3cc(C#N)ccc23)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
-N#Cc1ccc2c([C@H](CO)Cc3ccccc3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ccc(F)cc3Cl)n[nH]c2c1; [None]; [None]; [0]
+COc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999986290931702, 0.9999973773956299, 0.999988317489624, 0.9999828934669495, 0.9990584850311279, 0.9978490471839905, 0.9529225826263428, 0.9133642911911011]
+N#Cc1ccc2c(-c3ccc4c(c3)CCC(=O)N4)n[nH]c2c1; [None]; [None]; [0]
+CCc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999991655349731, 0.9999984502792358, 0.999975323677063, 0.9999729990959167, 0.9996589422225952, 0.9691040515899658, 0.8087106943130493]
+COc1ccc(CNc2n[nH]c3cc(C#N)ccc23)cc1; ['COc1ccc(CO)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1']; ['N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1']; [0.9999991655349731, 0.9999910593032837, 0.9999752640724182, 0.9999579191207886, 0.9999121427536011, 0.9998165369033813]
 N#Cc1ccc2c(-c3ncc(Br)cn3)n[nH]c2c1; [None]; [None]; [0]
-COc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-COc1ccc(CNc2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ccc(Cl)cc3Cl)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(CCCn3cncn3)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3ccc(Cl)cc3Cl)n[nH]c2c1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Clc1ccc(I)c(Cl)c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'Clc1ccc(Br)c(Cl)c1', 'N#Cc1ccc2cn[nH]c2c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1ccc(Cl)cc1Cl', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1ccc(Cl)cc1Cl', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9999955892562866, 0.9999852180480957, 0.9999783039093018, 0.9999016523361206, 0.9997966885566711, 0.9974292516708374, 0.9533777236938477]
+C[C@H]1CCCN1C(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3cc(C#N)ccc23)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [1.0, 1.0, 0.9999960660934448, 0.9998467564582825]
+Cn1cc(-c2n[nH]c3cc(C#N)ccc23)c(C(F)(F)F)n1; ['Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999994039535522, 0.9999994039535522, 0.999987006187439, 0.8925249576568604]
 N#Cc1ccc2c(NC3CN(C(=O)C4CC4)C3)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3cccc4ccc(O)cc34)n[nH]c2c1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1']; [0.999984085559845, 0.9999587535858154]
 N#Cc1ccc2c(-c3ncc4cccn4n3)n[nH]c2c1; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3cc(C#N)ccc23)ccc1N1CCOCC1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3cc4ccccn4n3)n[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-c2n[nH]c3cc(C#N)ccc23)c(C(F)(F)F)n1; [None]; [None]; [0]
 CC1(C)Cc2cc(-c3n[nH]c4cc(C#N)ccc34)ccc2O1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3cc4ccccn4n3)n[nH]c2c1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3cc(C#N)ccc23)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [1.0, 0.9999998211860657, 0.9999994039535522, 0.9999988079071045, 0.9999158382415771, 0.9956853985786438, 0.9890490770339966]
 COc1ccc2cccc(-c3n[nH]c4cc(C#N)ccc34)c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3cccc4ccc(O)cc34)n[nH]c2c1; [None]; [None]; [0]
 COc1cc(F)c(-c2n[nH]c3cc(C#N)ccc23)cc1OC; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3cc(C#N)ccc23)ccc1Cl; [None]; [None]; [0]
-Cc1csc2c(-c3n[nH]c4cc(C#N)ccc34)ncnc12; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ncc(Cl)cn3)n[nH]c2c1; [None]; [None]; [0]
-Cc1nc(Nc2n[nH]c3cc(C#N)ccc23)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2n[nH]c3cc(C#N)ccc23)nn1C; [None]; [None]; [0]
+Cc1nc(Nc2n[nH]c3cc(C#N)ccc23)sc1C; ['Cc1nc(Br)sc1C']; ['N#Cc1ccc2c(N)n[nH]c2c1']; [0.999993085861206]
+Cc1cc(Nc2n[nH]c3cc(C#N)ccc23)nn1C; ['Cc1cc(N)nn1C', 'Cc1cc(Cl)nn1C', 'Cc1cc(Br)nn1C']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1']; [0.9999982118606567, 0.9999947547912598, 0.9999944567680359]
+N#Cc1ccc2c(-c3cnn(CCO)c3)n[nH]c2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9999997019767761, 0.9999997019767761, 0.9999954700469971, 0.9999946355819702, 0.9976386427879333, 0.9803009033203125]
 N#Cc1ccc2c(-c3cc(N)nc4[nH]ccc34)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3ncc(Cl)cn3)n[nH]c2c1; [None]; [None]; [0]
+Cc1csc2c(-c3n[nH]c4cc(C#N)ccc34)ncnc12; [None]; [None]; [0]
+N#Cc1ccc2c(NC(=O)c3ccco3)n[nH]c2c1; ['N#Cc1ccc2c(N)n[nH]c2c1']; ['O=C(Cl)c1ccco1']; [0.9999925494194031]
+CCNC(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)nc1; [None]; [None]; [0]
 COc1cc(-c2n[nH]c3cc(C#N)ccc23)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
-N#Cc1ccc2c(Cc3ccc(C(N)=O)cc3)n[nH]c2c1; [None]; [None]; [0]
 N#Cc1ccc2c(Cc3ccc(S(=O)(=O)CCO)cc3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(NC(=O)c3ccco3)n[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc2c(Cc3ccc(C(N)=O)cc3)n[nH]c2c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2n[nH]c3cc(C#N)ccc23)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999973773956299, 0.9999967813491821, 0.9999945163726807, 0.9999916553497314, 0.9998462200164795, 0.9645435810089111, 0.9507560133934021]
+COc1ccc2c(c1)c(-c1n[nH]c3cc(C#N)ccc13)cn2C; ['COc1ccc2c(ccn2C)c1']; ['N#Cc1ccc2cn[nH]c2c1']; [0.9980952739715576]
 CO[C@@H]1CC[C@@H](c2n[nH]c3cc(C#N)ccc23)CC1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2n[nH]c3cc(C#N)ccc23)CC1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2n[nH]c3cc(C#N)ccc23)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1']; ['N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1']; [1.0, 1.0, 0.9999951124191284]
 N#Cc1ccc2c(-c3cccc(C(=O)Nc4cn[nH]c4)c3)n[nH]c2c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1n[nH]c3cc(C#N)ccc13)cn2C; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ccc4cn[nH]c4c3)n[nH]c2c1; [None]; [None]; [0]
+CCn1cc(-c2n[nH]c3cc(C#N)ccc23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9999992251396179, 0.9999931454658508, 0.9999811053276062]
+N#Cc1ccc2c(-c3ccc4cn[nH]c4c3)n[nH]c2c1; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'N#Cc1ccc2c(I)n[nH]c2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'N#Cc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1']; ['OB(O)c1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999997615814209, 0.9999997615814209, 0.9999996423721313, 0.9999992847442627, 0.999971866607666, 0.9642135500907898, 0.931065022945404]
+CNC(=O)c1ccc(OC)c(-c2n[nH]c3cc(C#N)ccc23)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9967942237854004]
 COc1ccc2oc(-c3n[nH]c4cc(C#N)ccc34)cc2c1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3cc4ccccc4o3)n[nH]c2c1; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; ['OB(O)c1cc2ccccc2o1', 'c1ccc2occc2c1']; [0.9999793767929077, 0.931483268737793]
+COc1ccc2nc(-c3n[nH]c4cc(C#N)ccc34)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['N#Cc1ccc2c(C(=O)O)n[nH]c2c1']; [0.9998265504837036]
 C[NH+](C)Cc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-CCn1cc(-c2n[nH]c3cc(C#N)ccc23)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1n[nH]c2cc(C#N)ccc12; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1Br']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999759197235107, 0.9999713897705078, 0.9189146757125854]
+COc1ccc(F)c(C(=O)Nc2n[nH]c3cc(C#N)ccc23)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['N#Cc1ccc2c(N)n[nH]c2c1']; [0.9999697804450989]
 N#Cc1ccc2c(-c3cc(-c4cccnc4)ccn3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3cc4ccccc4o3)n[nH]c2c1; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
+N#Cc1ccc2c(-c3ccc(OC(F)(F)F)cc3)n[nH]c2c1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc([Zn]I)cc1', 'FC(F)(F)Oc1ccc([Mg]Br)cc1', 'N#Cc1ccc2cn[nH]c2c1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [1.0, 1.0, 0.9999997019767761, 0.9999992251396179, 0.9999984502792358, 0.9999967217445374, 0.9999868869781494, 0.9998688101768494, 0.9998505115509033, 0.9958304166793823, 0.9954725503921509]
 N#Cc1ccc2c(-c3ncc4sccc4n3)n[nH]c2c1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
+Cn1cc(-c2n[nH]c3cc(C#N)ccc23)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1']; [0.9999470710754395, 0.99993896484375]
 N#Cc1ccc2c(-c3cccc(NC(=O)N4CCCC4)c3)n[nH]c2c1; [None]; [None]; [0]
-COc1ccc2nc(-c3n[nH]c4cc(C#N)ccc34)[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3ccc(OC(F)(F)F)cc3)n[nH]c2c1; [None]; [None]; [0]
-Cn1cc(-c2n[nH]c3cc(C#N)ccc23)c2ccccc21; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3n[nH]c4cc(C#N)ccc34)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cn1; ['CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [1.0, 1.0, 1.0, 0.9999997615814209, 0.9994207620620728]
 CCc1cccc(-c2n[nH]c3cc(C#N)ccc23)n1; [None]; [None]; [0]
 N#Cc1ccc2c(-c3ncn4c3CCCC4)n[nH]c2c1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]c3cc(C#N)ccc23)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1ncc2cc(-c3n[nH]c4cc(C#N)ccc34)ccc21; [None]; [None]; [0]
+Cc1cc(-c2n[nH]c3cc(C#N)ccc23)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3n[nH]c4cc(C#N)ccc34)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3n[nH]c4cc(C#N)ccc34)ccc12; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3n[nH]c4cc(C#N)ccc34)cn2)CC1; [None]; [None]; [0]
-N#Cc1ccc2c(-c3cccc(N4CCCC4=O)c3)n[nH]c2c1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3n[nH]c4cc(C#N)ccc34)[nH]c2c1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3n[nH]c4cc(C#N)ccc34)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1']; [0.9999979138374329, 0.9999973773956299]
+N#Cc1ccc2c(NC(=O)c3cccc(OC(F)(F)F)c3)n[nH]c2c1; ['N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'COC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'N#Cc1ccc2c(N)n[nH]c2c1']; [1.0, 1.0, 0.9999966621398926]
+Cc1n[nH]c2cc(-c3n[nH]c4cc(C#N)ccc34)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999996423721313, 0.9999995231628418, 0.9999993443489075, 0.9999980330467224, 0.9999027252197266, 0.9998581409454346, 0.998275637626648, 0.9894216060638428, 0.986821174621582]
+N#Cc1ccc2c(-c3cccc(N4CCCC4=O)c3)n[nH]c2c1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(I)n[nH]c2c1', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Br)c1']; [1.0, 0.9999998211860657, 0.9994194507598877, 0.9957036972045898]
 N#Cc1ccc2c(-c3ccc(CCO)cc3)n[nH]c2c1; [None]; [None]; [0]
-N#Cc1ccc2c(NC(=O)c3cccc(OC(F)(F)F)c3)n[nH]c2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)c(Cl)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3n[nH]c4cc(C#N)ccc34)cc2)n1C; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)c(Cl)c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1']; [0.9999887943267822, 0.9999738931655884, 0.9831206202507019]
+CCNC(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(I)cc1']; ['N#Cc1ccc2c(I)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2cn[nH]c2c1']; [0.9999966621398926, 0.9999959468841553, 0.9970664978027344, 0.9944164752960205, 0.9136868715286255]
 Cc1cc(N2CCOCC2)ccc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
+N#Cc1ccc2c(Nc3ccc(F)cn3)n[nH]c2c1; ['Fc1ccc(Br)nc1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'Fc1ccc(Cl)nc1', 'Fc1ccc(F)nc1']; ['N#Cc1ccc2c(N)n[nH]c2c1', 'Nc1ccc(F)cn1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1']; [0.9999995827674866, 0.9999994039535522, 0.9999988079071045, 0.9999278783798218]
+Cc1cc(Nc2n[nH]c3cc(C#N)ccc23)ncc1F; ['Cc1cc(Cl)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(Br)ncc1F']; ['N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(Br)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1']; [0.9999979734420776, 0.9999977946281433, 0.9999968409538269]
 COc1cc(N2CCNCC2)ccc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)c(OC)c1; [None]; [None]; [0]
+N#Cc1ccc2c(Nc3ccccn3)n[nH]c2c1; ['N#Cc1ccc2c(Br)n[nH]c2c1', 'Fc1ccccn1', 'Clc1ccccn1', 'Brc1ccccn1']; ['Nc1ccccn1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1', 'N#Cc1ccc2c(N)n[nH]c2c1']; [0.9999868273735046, 0.9999805688858032, 0.999951958656311, 0.9999313354492188]
+CN(C)C(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2n[nH]c3cc(C#N)ccc23)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['N#Cc1ccc2c(Br)n[nH]c2c1']; [0.987983226776123]
 Cn1nc(-c2n[nH]c3cc(C#N)ccc23)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2n[nH]c3cc(C#N)ccc23)cc1; [None]; [None]; [0]
-N#Cc1ccc2c(Nc3ccc(F)cn3)n[nH]c2c1; [None]; [None]; [0]
-Cc1cc(Nc2n[nH]c3cc(C#N)ccc23)ncc1F; [None]; [None]; [0]
-N#Cc1ccc2c(Nc3ccccn3)n[nH]c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-c1n[nH]c2cc(C#N)ccc12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2n[nH]c3cc(C#N)ccc23)c1; [None]; [None]; [0]
+CCOc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+COc1ncccc1-c1cc2ccccc2[nH]c1=O; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I']; [0.9994108080863953, 0.9987452030181885, 0.9986577033996582, 0.9960707426071167]
 Cc1nc(C(C)(C)O)sc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cc4ccccc4[nH]c3=O)c2c1; ['Cc1ccc2nc[nH]c2c1']; ['O=c1[nH]c2ccccc2cc1Cl']; [0.9685267210006714]
+CS(=O)(=O)c1cccc(-c2cc3ccccc3[nH]c2=O)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1ccccc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I']; [0.9999979734420776, 0.9999797344207764, 0.9999700784683228, 0.9999608993530273, 0.9998515248298645, 0.9998049736022949, 0.9595489501953125]
+O=C(Nc1cccc(-c2cc3ccccc3[nH]c2=O)c1)C1CC1; ['O=C(Nc1cccc(Br)c1)C1CC1']; ['O=c1ccc2ccccc2[nH]1']; [0.9984298944473267]
+O=c1[nH]c2ccccc2cc1-c1cccc(O)c1; ['O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'O=c1ccc2ccccc2[nH]1']; ['OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'Oc1cccc(Br)c1']; [0.9993743896484375, 0.9982479214668274, 0.9975528120994568, 0.9963482618331909, 0.9932221174240112, 0.9465610980987549]
+COc1cc(-c2cc3ccccc3[nH]c2=O)cc(OC)c1OC; [None]; [None]; [0]
+COc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(Br)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(C=C[N+](=O)[O-])cc1', 'COc1ccccc1']; ['O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1ccc2ccccc2[nH]1', 'c1ccc(-c2cc3ccccc3[nH]2)cc1', 'O=c1[nH]c2ccccc2cc1I']; [0.9999603033065796, 0.9999374151229858, 0.9994522333145142, 0.9993035197257996, 0.9986672401428223, 0.9976617097854614, 0.9963844418525696, 0.9959648847579956, 0.9936622977256775, 0.9930126667022705, 0.9831048250198364, 0.9760725498199463, 0.9700312614440918]
+O=c1[nH]c2ccccc2cc1-c1cnc2cccnn12; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ccc(N2CCOCC2)cc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'Brc1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1']; ['O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1']; [0.9999870657920837, 0.9999817609786987, 0.9998112320899963, 0.9997684955596924, 0.9996790885925293, 0.9991061091423035, 0.9982219934463501, 0.9964597225189209, 0.9957349300384521, 0.7621887922286987]
+O=c1[nH]c2ccccc2cc1-c1nc2ccccc2[nH]1; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'CCOC(=O)c1cc2ccccc2[nH]c1=O']; ['O=Cc1cc2ccccc2[nH]c1=O', 'O=C(O)c1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1CO', 'Nc1ccccc1N']; [0.9961034655570984, 0.9918943643569946, 0.9767175316810608, 0.9731853008270264]
+NC(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1']; ['O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I']; [0.9998250007629395, 0.9997897148132324, 0.998901903629303, 0.9045592546463013]
+Cc1cc(Nc2cc3ccccc3[nH]c2=O)sn1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1Nc1ncccn1; ['Brc1ncccn1', 'Fc1ncccn1', 'Clc1ncccn1', 'CS(=O)c1ncccn1', 'Nc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Ic1ncccn1']; ['Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1I', 'Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O']; [0.9890827536582947, 0.983855128288269, 0.9830083250999451, 0.9739310145378113, 0.9645663499832153, 0.9596119523048401, 0.8130477666854858]
+O=C([O-])c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1nccc2ccccc12; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I']; [0.9999901056289673, 0.9999717473983765, 0.9999257326126099]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc4ccccc4[nH]c3=O)cc2)CC1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cc4ccccc4[nH]c3=O)cn2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I']; [0.9999610185623169, 0.9993114471435547, 0.9617094993591309]
+O=C(c1ccc(-c2cc3ccccc3[nH]c2=O)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; ['O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1']; [0.9999933242797852, 0.999979555606842, 0.9998432397842407, 0.9876317977905273]
+O=c1[nH]c2ccccc2cc1-c1ccc(OCCO)cc1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1Nc1ccncn1; ['Clc1ccncn1', 'Nc1cc2ccccc2[nH]c1=O', 'Fc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cc2ccccc2[nH]c1=O']; ['Nc1cc2ccccc2[nH]c1=O', 'O=c1ccnc[nH]1', 'Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'Nc1ccncn1']; [0.9780644178390503, 0.9252549409866333, 0.8927398920059204, 0.8807889223098755, 0.8288395404815674, 0.78058922290802]
+O=c1[nH]c2ccccc2cc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9997137784957886, 0.9991563558578491, 0.998401939868927, 0.9964499473571777]
+O=C(c1ccc(-c2cc3ccccc3[nH]c2=O)nc1)N1CCOCC1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ccc(C(F)(F)F)cc1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'O=[N+]([O-])C=Cc1ccc(C(F)(F)F)cc1', 'NNc1ccc(C(F)(F)F)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'c1ccc(-c2cc3ccccc3[nH]2)cc1', 'O=c1ccc2ccccc2[nH]1']; [0.9999723434448242, 0.9998853206634521, 0.9998733401298523, 0.999782383441925, 0.9991953372955322, 0.9978712797164917, 0.9945829510688782, 0.9910740852355957, 0.8927977681159973]
+C[C@@H](O)COc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
 O=c1[nH]c2ccccc2cc1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc([Mg]Br)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc([Mg]Br)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(C=C[N+](=O)[O-])cc1', 'CN(C)c1ccccc1', 'CN(C)c1ccccc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1ccc2ccccc2[nH]1', 'c1ccc(-c2cc3ccccc3[nH]2)cc1', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9999747276306152, 0.9999579191207886, 0.9994217157363892, 0.9990664124488831, 0.9981218576431274, 0.9981131553649902, 0.994617223739624, 0.993894636631012, 0.9907938838005066, 0.985781729221344, 0.9818642139434814, 0.9539984464645386, 0.9083325862884521]
+CS(=O)(=O)N1CCC(c2cc3ccccc3[nH]c2=O)CC1; ['CS(=O)(=O)Cl', None, 'CS(=O)(=O)F']; ['O=c1[nH]c2ccccc2cc1C1CCNCC1', None, 'O=c1[nH]c2ccccc2cc1C1CCNCC1']; [0.9979865550994873, 0, 0.9837961196899414]
+CN(C)S(=O)(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1']; ['O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I']; [0.999950647354126, 0.9998600482940674, 0.9995643496513367, 0.9989941120147705, 0.9988669157028198, 0.996548056602478, 0.979156494140625, 0.9751826524734497, 0.9743427038192749, 0.9350277781486511]
+Cc1nc(C)c(-c2cc3ccccc3[nH]c2=O)s1; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1', 'Cc1csc(C)n1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1']; [0.9992054104804993, 0.9735497236251831, 0.8811628818511963]
+CCNS(=O)(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I']; [0.9953230023384094, 0.9949671030044556, 0.9467244148254395]
 CC(C)c1cc(-c2cc3ccccc3[nH]c2=O)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3cc4ccccc4[nH]c3=O)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cc3ccccc3[nH]c2=O)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cc4ccccc4[nH]c3=O)[nH]c2c1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ccc(Br)cc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=[N+]([O-])C=Cc1ccc(Br)cc1', 'NNc1ccc(Br)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'c1ccc(-c2cc3ccccc3[nH]2)cc1', 'O=c1ccc2ccccc2[nH]1']; [0.9999628067016602, 0.9980206489562988, 0.9947330951690674, 0.9943721294403076, 0.98442542552948, 0.8355010151863098]
+CCN(CC)C(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I']; [0.9999809265136719, 0.9999748468399048, 0.9992914199829102, 0.9990174770355225, 0.9955340623855591, 0.9881627559661865, 0.9838519096374512]
+CNS(=O)(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)c(C)c1; ['CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['O=c1[nH]c2ccccc2cc1I']; [0.9992125034332275]
+O=c1[nH]c2ccccc2cc1-c1ccn2nccc2n1; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl']; ['c1cnc2ccnn2c1', 'c1cnc2ccnn2c1']; [0.9983564615249634, 0.9767040014266968]
+Cc1c(C(=O)[O-])cccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2cc3ccccc3[nH]c2=O)C1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3cc4ccccc4[nH]c3=O)c2)CC1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc2ccccc2[nH]c1=O; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I']; [0.9999392032623291, 0.9997051954269409, 0.9987198114395142, 0.9983263611793518, 0.9982528686523438, 0.9922927618026733, 0.9476455450057983]
+CC(C)c1ccc2nc(-c3cc4ccccc4[nH]c3=O)[nH]c2c1; ['CC(C)c1ccc(N)c([N+](=O)[O-])c1']; ['O=Cc1cc2ccccc2[nH]c1=O']; [0.9783626794815063]
+O=c1[nH]c2ccccc2cc1-c1ccccc1-n1cccn1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+COc1cc(OC)c(-c2cc3ccccc3[nH]c2=O)cc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc3ccccc3[nH]c2=O)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1']; [0.9999798536300659, 0.9998822808265686, 0.9992583394050598, 0.9971669912338257, 0.9950141906738281]
+O=c1[nH]c2ccccc2cc1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
-O=c1[nH]c2ccccc2cc1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
+COc1cc(-c2cc3ccccc3[nH]c2=O)ccc1O; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(NN)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1']; [0.9999545812606812, 0.9997926354408264, 0.9995205998420715, 0.9520931839942932]
+O=c1[nH]c2ccccc2cc1-c1cccc2c1OCO2; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1scc2c1OCCO2; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1cnc2ccccc2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl']; [0.999967098236084, 0.9999296069145203, 0.9993150234222412, 0.9983187913894653, 0.9954712390899658]
+COc1cccc(C(=O)Nc2cc3ccccc3[nH]c2=O)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COC(=O)c1cccc(OC)c1', 'COc1cccc(C(N)=O)c1']; ['Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9941893815994263, 0.9914608001708984, 0.8181442022323608, 0.7825108766555786]
+CC1(COc2cc3ccccc3[nH]c2=O)COC1; ['Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1', 'CC1(CBr)COC1', 'CC1(CI)COC1', 'CC1(CO)COC1', 'CC1(CCl)COC1', 'CC1(CO)COC1', 'CC1(CO)COC1']; ['O=c1[nH]c2ccccc2cc1O', 'O=c1[nH]c2ccccc2cc1O', 'O=c1[nH]c2ccccc2cc1O', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1O', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1O']; [0.9928070306777954, 0.9539300203323364, 0.923809289932251, 0.9141784310340881, 0.8907159566879272, 0.8584151268005371, 0.7912358045578003]
+Nc1nc(-c2cc3ccccc3[nH]c2=O)cs1; [None]; [None]; [0]
+CSc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(Br)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1']; [0.9999755024909973, 0.9998975992202759, 0.9976205825805664, 0.9930897951126099, 0.9908517599105835, 0.9611169695854187, 0.9396862983703613]
+CC(=O)N[C@@H]1CC[C@@H](c2cc3ccccc3[nH]c2=O)CC1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ccc(F)cc1Cl; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Fc1ccc(Br)c(Cl)c1', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'NNc1ccc(F)cc1Cl', 'Fc1cccc(Cl)c1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I']; [0.9998315572738647, 0.9996891021728516, 0.9996672868728638, 0.9996408224105835, 0.9980038404464722, 0.9950382709503174, 0.9776672720909119, 0.9720855951309204, 0.9322723746299744]
+Cc1cc(-c2cc3ccccc3[nH]c2=O)nc(N)n1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1cc2ccccc2s1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc4ccccc4[nH]c3=O)cc2)CC1; [None]; [None]; [0]
+COc1ccc(-c2cc3ccccc3[nH]c2=O)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(C=C[N+](=O)[O-])cc1OC']; ['O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'c1ccc(-c2cc3ccccc3[nH]2)cc1']; [0.9999286532402039, 0.9999150037765503, 0.9995925426483154, 0.9992890357971191, 0.999194324016571, 0.9946321249008179, 0.9710137844085693]
+O=c1[nH]c2ccccc2cc1-c1ncc(Br)cn1; [None]; [None]; [0]
+O=C1CCc2cc(-c3cc4ccccc4[nH]c3=O)ccc2N1; [None]; [None]; [0]
+COc1ccc(CNc2cc3ccccc3[nH]c2=O)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(CN)cc1']; ['O=c1[nH]c2ccccc2cc1I', 'Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1Cl', 'Nc1cc2ccccc2[nH]c1=O', 'O=c1ccc2ccccc2[nH]1']; [0.9962999820709229, 0.9904254674911499, 0.9866798520088196, 0.9772651195526123, 0.9343776106834412, 0.7874219417572021]
+O=c1[nH]c2ccccc2cc1-c1ccc(Cl)cc1Cl; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'Clc1ccc(Br)c(Cl)c1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=[N+]([O-])C=Cc1ccc(Cl)cc1Cl']; ['O=c1[nH]c2ccccc2cc1I', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'OB(O)c1ccc(Cl)cc1Cl', 'c1ccc(-c2cc3ccccc3[nH]2)cc1']; [0.9998388290405273, 0.9998053312301636, 0.9993079900741577, 0.9987930059432983, 0.997816801071167, 0.9550343751907349]
 O=C(C1CC1)N1CC(Nc2cc3ccccc3[nH]c2=O)C1; [None]; [None]; [0]
+CCc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ncc2cccn2n1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1cc2ccccn2n1; [None]; [None]; [0]
+COc1cc(-c2cc3ccccc3[nH]c2=O)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9999614953994751, 0.9998600482940674, 0.9996128082275391]
+Cn1cc(-c2cc3ccccc3[nH]c2=O)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1ccc(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1ccc(C(F)(F)F)n1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1']; [0.9998892545700073, 0.9998159408569336, 0.9991579055786133, 0.9975647926330566, 0.9951609373092651, 0.97356116771698]
+CC1(C)Cc2cc(-c3cc4ccccc4[nH]c3=O)ccc2O1; [None]; [None]; [0]
+COc1cc(-c2cc3ccccc3[nH]c2=O)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1ccccc1Cl']; ['O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I']; [0.9999774098396301, 0.9999502897262573, 0.9998889565467834, 0.9996320009231567, 0.9993302822113037, 0.9989653825759888, 0.9976600408554077, 0.9965437650680542, 0.9385781288146973, 0.7589914798736572]
+COc1cc(F)c(-c2cc3ccccc3[nH]c2=O)cc1OC; ['COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1ccc(F)cc1OC']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1I']; [0.9992105960845947, 0.9987872838973999, 0.9982097148895264, 0.9836804866790771, 0.8066765069961548]
+COc1ccc2cccc(-c3cc4ccccc4[nH]c3=O)c2c1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
+Cc1csc2c(-c3cc4ccccc4[nH]c3=O)ncnc12; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ncc(Cl)cn1; [None]; [None]; [0]
+Cc1nc(Nc2cc3ccccc3[nH]c2=O)sc1C; ['Cc1nc(Br)sc1C', 'Cc1nc(Cl)sc1C', 'Cc1nc(N)sc1C']; ['Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9994837045669556, 0.9979081749916077, 0.9386295080184937]
+O=c1[nH]c2ccccc2cc1-c1cnn(CCO)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9999622106552124, 0.9999409914016724, 0.9997321367263794, 0.9995779991149902]
+Cc1cc(Nc2cc3ccccc3[nH]c2=O)nn1C; ['Cc1cc(Br)nn1C', 'Cc1cc(N)nn1C', 'Cc1cc(Cl)nn1C', 'Cc1cc(N)nn1C']; ['Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1I', 'Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9997175335884094, 0.9977039694786072, 0.9932582974433899, 0.9835641980171204]
+O=C(Nc1cc2ccccc2[nH]c1=O)c1ccco1; ['Nc1cc2ccccc2[nH]c1=O']; ['O=C(Cl)c1ccco1']; [0.8675096035003662]
 Nc1cc(-c2cc3ccccc3[nH]c2=O)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1cc(-c2cc3ccccc3[nH]c2=O)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)nc1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cc3ccccc3[nH]c2=O)CC1; [None, None, 'CCN=C=O', 'CCN', None, 'CCNC(=O)Oc1ccc([N+](=O)[O-])cc1', 'CCNC(=O)Oc1ccccc1', 'CCNC(=O)OCC']; [None, None, 'O=c1[nH]c2ccccc2cc1C1CCNCC1', 'O=c1[nH]c2ccccc2cc1C1CCNCC1', None, 'O=c1[nH]c2ccccc2cc1C1CCNCC1', 'O=c1[nH]c2ccccc2cc1C1CCNCC1', 'O=c1[nH]c2ccccc2cc1C1CCNCC1']; [0, 0, 0.9994165897369385, 0.9993957281112671, 0, 0.9877196550369263, 0.9870513677597046, 0.87125563621521]
+O=c1[nH]c2ccccc2cc1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cc3ccccc3[nH]c2=O)CC1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
+COc1ccc2oc(-c3cc4ccccc4[nH]c3=O)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2occc2c1', 'COc1ccc2occc2c1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'Nc1cc2ccccc2[nH]c1=O']; [0.9997271299362183, 0.9969251751899719, 0.9933096170425415, 0.9873143434524536]
+CC(C)(C)c1ccc(C(=O)Nc2cc3ccccc3[nH]c2=O)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1']; ['Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9991757869720459, 0.9982680082321167, 0.9844598174095154, 0.901559591293335]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc3ccccc3[nH]c1=O)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cc4ccccc4[nH]c3=O)[nH]c2c1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+CCn1cc(-c2cc3ccccc3[nH]c2=O)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'O=c1ccc2ccccc2[nH]1', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9994205236434937, 0.9990754127502441, 0.9885324835777283, 0.985404372215271, 0.982693076133728]
+O=c1[nH]c2ccccc2cc1-c1cc2ccccc2o1; ['O=c1[nH]c2ccccc2cc1I', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'O=c1[nH]c2ccccc2cc1Cl', 'O=c1[nH]c2ccccc2cc1I', 'Nc1cc2ccccc2[nH]c1=O', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'O=c1[nH]c2ccccc2cc1Cl']; ['OB(O)c1cc2ccccc2o1', 'O=c1[nH]c2ccccc2cc1I', 'OB(O)c1cc2ccccc2o1', 'c1ccc2occc2c1', 'c1ccc2occc2c1', 'O=c1[nH]c2ccccc2cc1Cl', 'c1ccc2occc2c1']; [0.9997857213020325, 0.9974101781845093, 0.9962459206581116, 0.9768665432929993, 0.9662361741065979, 0.9337748885154724, 0.808644711971283]
+O=c1[nH]c2ccccc2cc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ncc2sccc2n1; [None]; [None]; [0]
+COc1ccc2nc(-c3cc4ccccc4[nH]c3=O)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1', 'CCOC(=O)c1cc2ccccc2[nH]c1=O', 'COc1ccc(N)c(N)c1']; ['O=C(O)c1cc2ccccc2[nH]c1=O', 'O=Cc1cc2ccccc2[nH]c1=O', 'COc1ccc(N)c(N)c1', 'O=c1[nH]c2ccccc2cc1CO']; [0.9979161024093628, 0.9976716041564941, 0.9910452365875244, 0.9901254177093506]
+COc1ccc(F)c(C(=O)Nc2cc3ccccc3[nH]c2=O)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['Nc1cc2ccccc2[nH]c1=O']; [0.9936596155166626]
+CC(C)c1nn(C)cc1-c1cc2ccccc2[nH]c1=O; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9999504089355469, 0.9999066591262817]
+Cn1cc(Br)cc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
+CCc1cccc(-c2cc3ccccc3[nH]c2=O)n1; ['CCc1cccc(Br)n1']; ['O=c1[nH]c2ccccc2cc1I']; [0.8919768333435059]
+O=C(Nc1cccc(-c2cc3ccccc3[nH]c2=O)c1)N1CCCC1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+Cn1cc(-c2cc3ccccc3[nH]c2=O)c2ccccc21; [None]; [None]; [0]
 O=c1[nH]c2ccccc2cc1-c1ncn2c1CCCC2; [None]; [None]; [0]
+Cc1cc(-c2cc3ccccc3[nH]c2=O)cc(C)c1OCCO; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cc4ccccc4[nH]c3=O)[nH]c2c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc4ccccc4[nH]c3=O)ccc21; [None]; [None]; [0]
+O=C(Nc1cc2ccccc2[nH]c1=O)c1cccc(OC(F)(F)F)c1; ['Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'NC(=O)c1cccc(OC(F)(F)F)c1', 'COC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'O=c1[nH]c2ccccc2cc1Cl', 'Nc1cc2ccccc2[nH]c1=O']; [0.9997987747192383, 0.9990912079811096, 0.9647947549819946, 0.8009048104286194]
 Cn1nc(Cl)c2cc(-c3cc4ccccc4[nH]c3=O)ccc21; [None]; [None]; [0]
-O=C(Nc1cc2ccccc2[nH]c1=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc3ccccc3[nH]c2=O)cn1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cc4ccccc4[nH]c3=O)cn2)CC1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cc4ccccc4[nH]c3=O)cc2)n1C; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cc4ccccc4[nH]c3=O)ccc12; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1-c1ccc(CCO)cc1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)c(Cl)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3cc4ccccc4[nH]c3=O)cc2)n1C; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc3ccccc3[nH]c2=O)cc1; [None]; [None]; [0]
+Cc1cc(Nc2cc3ccccc3[nH]c2=O)ncc1F; ['Cc1cc(Br)ncc1F', 'Cc1cc(Cl)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F']; ['Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl']; [0.9992642998695374, 0.9982943534851074, 0.9949660301208496, 0.9603373408317566]
+CNC(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)c(OC)c1; [None]; [None]; [0]
+O=c1[nH]c2ccccc2cc1Nc1ccc(F)cn1; ['Nc1ccc(F)cn1', 'Fc1ccc(Cl)nc1', 'Fc1ccc(Br)nc1', 'Nc1ccc(F)cn1', 'Fc1ccc(F)nc1']; ['O=c1[nH]c2ccccc2cc1I', 'Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1Cl', 'Nc1cc2ccccc2[nH]c1=O']; [0.995431661605835, 0.9939683079719543, 0.9919984340667725, 0.9762268662452698, 0.9187177419662476]
+CN(C)C(=O)c1ccc(-c2cc3ccccc3[nH]c2=O)nc1; ['CN(C)C(=O)c1ccc(Br)nc1']; ['O=c1[nH]c2ccccc2cc1Cl']; [0.9995322227478027]
+O=c1[nH]c2ccccc2cc1Nc1ccccn1; ['Ic1ccccn1', 'Nc1ccccn1', 'Nc1ccccn1', 'Brc1ccccn1', 'Clc1ccccn1', 'Nc1cc2ccccc2[nH]c1=O', 'Fc1ccccn1']; ['Nc1cc2ccccc2[nH]c1=O', 'O=c1[nH]c2ccccc2cc1I', 'O=c1[nH]c2ccccc2cc1Cl', 'Nc1cc2ccccc2[nH]c1=O', 'Nc1cc2ccccc2[nH]c1=O', 'Nc1ccccn1', 'Nc1cc2ccccc2[nH]c1=O']; [0.9636859893798828, 0.9607928991317749, 0.9573345184326172, 0.9352616667747498, 0.9271214008331299, 0.8741112947463989, 0.8372927308082581]
+CS(=O)(=O)c1ccc(Cl)c(-c2cc3ccccc3[nH]c2=O)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['O=c1ccc2ccccc2[nH]1']; [0.99543696641922]
+CCOc1ccccc1-c1c(Br)cnc2[nH]ncc12; ['CCOc1ccccc1B(O)O']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9993237257003784]
 Cn1nc(-c2cc3ccccc3[nH]c2=O)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2cc3ccccc3[nH]c2=O)ncc1F; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc2ccccc2[nH]c1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cc3ccccc3[nH]c2=O)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1c(Br)cnc2[nH]ncc12; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9998478889465332]
+COC(C)(C)CCc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1ccnc2ccccc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2c(Br)cnc3[nH]ncc23)[nH]1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2c(Br)cnc3[nH]ncc23)c1; ['Clc1c(Br)cnc2[nH]ncc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.9994807243347168]
+Fc1cc(F)cc(Cc2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1c(Br)cnc2[nH]ncc12; ['Clc1c(Br)cnc2[nH]ncc12', 'Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I']; [0.9998518228530884, 0.9897545576095581]
+NC(=O)c1ccccc1-c1c(Br)cnc2[nH]ncc12; ['Clc1c(Br)cnc2[nH]ncc12']; ['NC(=O)c1ccccc1B(O)O']; [0.9875626564025879]
+CCn1cc(-c2c(Br)cnc3[nH]ncc23)cn1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3c(Br)cnc4[nH]ncc34)cc2c1=O; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+OCCn1cc(-c2c(Br)cnc3[nH]ncc23)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9984959363937378]
+Brc1cnc2[nH]ncc2c1-c1cnn(Cc2ccccc2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Clc1c(Br)cnc2[nH]ncc12']; ['Clc1c(Br)cnc2[nH]ncc12', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9996023774147034, 0.9993278980255127]
+Brc1cnc2[nH]ncc2c1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2c(Br)cnc3[nH]ncc23)cs1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2c(Br)cnc3[nH]ncc23)c1; ['Clc1c(Br)cnc2[nH]ncc12']; ['OB(O)c1cc(Cl)ccc1Cl']; [0.99416583776474]
+CC(C)C(=O)COc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2c(Br)cnc3[nH]ncc23)c1)c1ccccc1; ['Clc1c(Br)cnc2[nH]ncc12']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9978992938995361]
+COc1cnc(-c2c(Br)cnc3[nH]ncc23)nc1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+Cc1nc(C)c(-c2c(Br)cnc3[nH]ncc23)s1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1cnc2ccccn12; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1cnc2cccnn12; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+Cc1ccc(-c2c(Br)cnc3[nH]ncc23)c(Br)c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1NCc1cccnc1; ['Clc1c(Br)cnc2[nH]ncc12']; ['NCc1cccnc1']; [0.9997428059577942]
+Cc1ccc(Cl)c(-c2c(Br)cnc3[nH]ncc23)c1; ['Cc1ccc(Cl)c(B(O)O)c1', 'Brc1cnc2[nH]ncc2c1']; ['Clc1c(Br)cnc2[nH]ncc12', 'Cc1ccc(Cl)c(I)c1']; [0.9901050329208374, 0.8392030000686646]
+Brc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; ['Clc1c(Br)cnc2[nH]ncc12', 'Brc1cccc(I)c1']; ['OB(O)c1cccc(Br)c1', 'Brc1cnc2[nH]ncc2c1']; [0.9996176958084106, 0.9418841600418091]
+Cc1nc(N)sc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+Nc1nccc(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
+CNc1nc(C)c(-c2c(Br)cnc3[nH]ncc23)s1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1Nc1cccnc1; ['Clc1c(Br)cnc2[nH]ncc12']; ['Nc1cccnc1']; [0.9998369216918945]
+Brc1cnc2[nH]ncc2c1NCCc1c[nH]cn1; ['Clc1c(Br)cnc2[nH]ncc12']; ['NCCc1c[nH]cn1']; [0.9939440488815308]
+Brc1cnc2[nH]ncc2c1-c1ccc2ccccc2c1; ['Clc1c(Br)cnc2[nH]ncc12', 'Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1']; [0.9999079704284668, 0.7977044582366943]
+O=C(Nc1c(Br)cnc2[nH]ncc12)c1cccs1; [None]; [None]; [0]
 Cc1c(-c2c(Br)cnc3[nH]ncc23)sc(=O)n1C; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1NCCc1ccccc1; ['Clc1c(Br)cnc2[nH]ncc12']; ['NCCc1ccccc1']; [0.9972735047340393]
+Brc1cnc2[nH]ncc2c1-n1cnc2ccccc21; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1cncc2ccccc12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Clc1c(Br)cnc2[nH]ncc12']; ['Clc1c(Br)cnc2[nH]ncc12', 'OB(O)c1cncc2ccccc12']; [0.9996122121810913, 0.9994666576385498]
 Brc1cnc2[nH]ncc2c1-c1cnn2ncccc12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2c(Br)cnc3[nH]ncc23)o1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1ccc(-c2cn[nH]c2)cc1; ['Clc1c(Br)cnc2[nH]ncc12']; ['OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9987781643867493]
+Clc1ccc(CNc2c(Br)cnc3[nH]ncc23)cc1; ['Clc1c(Br)cnc2[nH]ncc12']; ['NCc1ccc(Cl)cc1']; [0.9991154670715332]
+O=C([O-])Cc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3c(Br)cnc4[nH]ncc34)ccc21; ['Clc1c(Br)cnc2[nH]ncc12', 'Clc1c(Br)cnc2[nH]ncc12', 'Brc1cnc2[nH]ncc2c1']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21']; [0.9999960660934448, 0.9999911785125732, 0.9749777913093567]
+Cn1cc(-c2ccc(-c3c(Br)cnc4[nH]ncc34)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3c(Br)cnc4[nH]ncc34)ccc12; [None]; [None]; [0]
+Oc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; ['Clc1c(Br)cnc2[nH]ncc12']; ['OB(O)c1cccc(O)c1']; [0.9998573064804077]
+Brc1cnc2[nH]ncc2c1Nc1ccncc1; ['Clc1c(Br)cnc2[nH]ncc12']; ['Nc1ccncc1']; [0.9999641180038452]
+OCc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Clc1c(Br)cnc2[nH]ncc12']; ['Clc1c(Br)cnc2[nH]ncc12', 'OCc1cccc(B(O)O)c1']; [0.9962977766990662, 0.9952507615089417]
+Fc1ccccc1CNc1c(Br)cnc2[nH]ncc12; ['Clc1c(Br)cnc2[nH]ncc12']; ['NCc1ccccc1F']; [0.9999837875366211]
 CN1c2ccc(-c3c(Br)cnc4[nH]ncc34)cc2CS1(=O)=O; [None]; [None]; [0]
 COc1cc(-c2c(Br)cnc3[nH]ncc23)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)n1cc(-c2c(Br)cnc3[nH]ncc23)nn1; [None]; [None]; [0]
+CCCn1cnc(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
+CSc1nc(-c2c(Br)cnc3[nH]ncc23)c[nH]1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1cc2ccccc2[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+N#CCCc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; ['Clc1c(Br)cnc2[nH]ncc12']; ['N#CCCc1cccc(B(O)O)c1']; [0.9998177289962769]
+Nc1ncncc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
 Brc1cnc2[nH]ncc2c1CCc1c[nH]nn1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9999275207519531]
+Brc1cnc2[nH]ncc2c1-c1csc2ncncc12; [None]; [None]; [0]
+Fc1ccc(-c2c(Br)cnc3[nH]ncc23)c(C(F)(F)F)c1; ['Clc1c(Br)cnc2[nH]ncc12', 'Brc1cnc2[nH]ncc2c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1']; [0.9999263286590576, 0.8482016921043396]
+CCNc1nc2ccc(-c3c(Br)cnc4[nH]ncc34)cc2s1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1Oc1ccccn1; ['Clc1c(Br)cnc2[nH]ncc12']; ['Oc1ccccn1']; [0.9854051470756531]
+Nc1nc(-c2c(Br)cnc3[nH]ncc23)cs1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2c(Br)cnc3[nH]ncc23)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9992237091064453]
+CC(=O)Nc1cccc(-c2c(Br)cnc3[nH]ncc23)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1c(Br)cnc2[nH]ncc12', 'Clc1c(Br)cnc2[nH]ncc12']; [0.999213695526123, 0.9896107316017151]
 O=C(Nc1c(Br)cnc2[nH]ncc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+NC(=O)CCCc1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+COc1ccc(-c2c(Br)cnc3[nH]ncc23)cc1Cl; ['COc1ccc(B(O)O)cc1Cl', 'Brc1cnc2[nH]ncc2c1']; ['Clc1c(Br)cnc2[nH]ncc12', 'COc1ccc(I)cc1Cl']; [0.999900758266449, 0.9851167798042297]
+Cn1cc(-c2c(Br)cnc3[nH]ncc23)c2ccccc21; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1cnn2ccccc12; [None]; [None]; [0]
+CCCn1cc(-c2c(Br)cnc3[nH]ncc23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9999521374702454]
+O=c1cc(-c2c(Br)cnc3[nH]ncc23)cc[nH]1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9968396425247192]
 CC(C)(COc1c(Br)cnc2[nH]ncc12)S(C)(=O)=O; [None]; [None]; [0]
+O=C1CCc2cccc(-c3c(Br)cnc4[nH]ncc34)c21; [None]; [None]; [0]
+CCN(CC)c1c(Br)cnc2[nH]ncc12; ['CCNCC']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9954433441162109]
+C[S@](=O)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.988771915435791]
+C[C@@H](Oc1c(Br)cnc2[nH]ncc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9516646862030029]
+COc1cc(CCc2c(Br)cnc3[nH]ncc23)cc(OC)c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2c(Br)cnc3[nH]ncc23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1c(Br)cnc2[nH]ncc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; [None]; [None]; [0]
+COc1ccncc1Nc1c(Br)cnc2[nH]ncc12; ['COc1ccncc1N']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9999686479568481]
+CCNS(=O)(=O)c1ccccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1Nc1cnccc1-c1ccccc1; ['Clc1c(Br)cnc2[nH]ncc12']; ['Nc1cnccc1-c1ccccc1']; [0.9999891519546509]
+CC(C)(C)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9995145201683044]
+Brc1cnc2[nH]ncc2c1Nc1cnc2ccccc2c1; ['Clc1c(Br)cnc2[nH]ncc12']; ['Nc1cnc2ccccc2c1']; [0.999961256980896]
+COc1cccc(F)c1-c1c(Br)cnc2[nH]ncc12; ['COc1cccc(F)c1B(O)O']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9999082088470459]
+CC(C)Oc1cncc(-c2c(Br)cnc3[nH]ncc23)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Clc1c(Br)cnc2[nH]ncc12', 'Clc1c(Br)cnc2[nH]ncc12']; [0.9999946355819702, 0.999971866607666]
 O=c1[nH]cc(Br)c2sc(-c3c(Br)cnc4[nH]ncc34)cc12; [None]; [None]; [0]
-Brc1cnc2[nH]ncc2c1Nc1cnccc1-c1ccccc1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1cnc2[nH]ccc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1c(Br)cnc2[nH]ncc12']; ['Clc1c(Br)cnc2[nH]ncc12', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999912977218628, 0.9999909400939941]
+O=c1[nH]ccc2oc(-c3c(Br)cnc4[nH]ncc34)cc12; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1c[nH]c2cnccc12; ['Clc1c(Br)cnc2[nH]ncc12']; ['OB(O)c1c[nH]c2cnccc12']; [0.9938128590583801]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9968990087509155]
+CNS(=O)(=O)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; ['CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.999091386795044]
+CC1(c2c(Br)cnc3[nH]ncc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1ccc(N2CCOCC2)cc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Clc1c(Br)cnc2[nH]ncc12']; ['Clc1c(Br)cnc2[nH]ncc12', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.9999955296516418, 0.9999707937240601]
 CN(c1c(Br)cnc2[nH]ncc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 C[C@H](Nc1c(Br)cnc2[nH]ncc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9996659755706787]
+C[C@H](Nc1c(Br)cnc2[nH]ncc12)C(C)(C)O; ['C[C@H](N)C(C)(C)O']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9962154626846313]
+C[C@@H](Nc1c(Br)cnc2[nH]ncc12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9962154626846313]
+Cc1cc(-c2c(Br)cnc3[nH]ncc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+OCc1ccn(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
+OCCc1cn(-c2c(Br)cnc3[nH]ncc23)cn1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-n1ncc2ccccc21; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
+COc1ccc(-c2c(Br)cnc3[nH]ncc23)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'Brc1cnc2[nH]ncc2c1']; ['Clc1c(Br)cnc2[nH]ncc12', 'COc1ccc(I)c(OC)c1']; [0.9999388456344604, 0.9328690767288208]
+Oc1ccc2nc(-c3c(Br)cnc4[nH]ncc34)[nH]c2c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2c(Br)cnc3[nH]ncc23)cc1; ['Clc1c(Br)cnc2[nH]ncc12', 'Brc1cnc2[nH]ncc2c1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1']; [0.9967563152313232, 0.989898681640625]
+CSc1nc(C)c(-c2c(Br)cnc3[nH]ncc23)[nH]1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1nncn1C1CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2c(Br)cnc3[nH]ncc23)CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
 Brc1cnc2[nH]ncc2c1Cc1nnc2ccc(-c3ccccc3)nn12; [None]; [None]; [0]
+CCc1cc(-c2c(Br)cnc3[nH]ncc23)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2c(Br)cnc3[nH]ncc23)s1; [None]; [None]; [0]
+O=C(CCc1c(Br)cnc2[nH]ncc12)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1c(Br)cnc2[nH]ncc12)NCc1ccccn1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c(Br)cnc3[nH]ncc23)s1; [None]; [None]; [0]
+CCCCc1cc(-c2c(Br)cnc3[nH]ncc23)nc(N)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2c(Br)cnc3[nH]ncc23)CC1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1c(Br)cnc2[nH]ncc12; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2c(Br)cnc3[nH]ncc23)c(F)c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3c(Br)cnc4[nH]ncc34)nc2NC1=O; [None]; [None]; [0]
+Nc1cncc(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1cccc2ccsc12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Clc1c(Br)cnc2[nH]ncc12']; ['Clc1c(Br)cnc2[nH]ncc12', 'OB(O)c1cccc2ccsc12']; [0.9999972581863403, 0.9998488426208496]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3c(Br)cnc4[nH]ncc34)c2)cc1; [None]; [None]; [0]
 Brc1cnc2[nH]ncc2c1-c1cccc2nnsc12; [None]; [None]; [0]
-COc1ccc(Oc2c(Br)cnc3[nH]ncc23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2c(Br)cnc3[nH]ncc23)n1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1nc2ccccc2s1; [None]; [None]; [0]
+Nc1nc(-c2c(Br)cnc3[nH]ncc23)nc2ccccc12; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1ncc2ccccc2n1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1c(Br)cnc2[nH]ncc12; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2[nH]ncc2c1']; ['Clc1c(Br)cnc2[nH]ncc12', 'Clc1c(Br)cnc2[nH]ncc12', 'COc1ccc(C#N)cc1I']; [0.999980092048645, 0.9999624490737915, 0.9908127188682556]
+COc1ccc(Oc2c(Br)cnc3[nH]ncc23)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.991557776927948]
+CC(=O)Nc1ncc(-c2c(Br)cnc3[nH]ncc23)[nH]1; [None]; [None]; [0]
+COc1ncccc1-c1c(Br)cnc2[nH]ncc12; ['COc1ncccc1B(O)O']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9990842342376709]
+COc1ccc(OC)c(-c2c(Br)cnc3[nH]ncc23)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Clc1c(Br)cnc2[nH]ncc12']; [0.9990612268447876]
+OCCn1cnc(-c2c(Br)cnc3[nH]ncc23)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2c(Br)cnc3[nH]ncc23)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['Clc1c(Br)cnc2[nH]ncc12', 'Clc1c(Br)cnc2[nH]ncc12']; [0.9998894929885864, 0.9975858926773071]
+Brc1cnc2[nH]ncc2c1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2c(Br)cnc3[nH]ncc23)CC1; [None]; [None]; [0]
+Brc1cnc2[nH]ncc2c1N1CC=C(c2c[nH]c3ccccc23)CC1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'CC(C)(C)OC(=O)N1CC=C(c2c[nH]c3ccccc23)CC1', 'Brc1cnc2[nH]ncc2c1']; ['Clc1c(Br)cnc2[nH]ncc12', 'Clc1c(Br)cnc2[nH]ncc12', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; [0.9998819828033447, 0.9998495578765869, 0.9919884204864502]
+CNC(=O)c1ccccc1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CNC(=O)c1ccccc1I', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1B(O)O', 'Brc1cnc2[nH]ncc2c1', 'CNC(=O)c1ccccc1B(O)O']; ['CNC(=O)c1ccccc1Br', 'OB(O)c1cnc2[nH]ncc2c1', 'CNC(=O)c1ccccc1I', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CNC(=O)c1ccccc1B(O)O', 'Clc1cnc2[nH]ncc2c1']; [0.9999921321868896, 0.9999861717224121, 0.9999837875366211, 0.9999523162841797, 0.9998986721038818, 0.9995825290679932, 0.9994853734970093]
+Cc1nnc(-c2ccccc2-c2cnc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
+CN(C)c1cc(-c2c(Br)cnc3[nH]ncc23)cnn1; [None]; [None]; [0]
+CCOc1ccccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Br', 'CCOc1ccccc1Cl', 'CCOc1ccccc1B(O)O', 'Brc1cnc2[nH]ncc2c1']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Br', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Cl', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'CCOc1ccccc1Br']; [0.9999845623970032, 0.9999498724937439, 0.9999183416366577, 0.9998724460601807, 0.9998511075973511, 0.9998477697372437, 0.9994015693664551, 0.9993371963500977, 0.9992643594741821, 0.9982678890228271, 0.9979656934738159, 0.9878276586532593]
+CC(C)S(=O)(=O)c1ccccc1-c1cnc2[nH]ncc2c1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Brc1cnc2[nH]ncc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Clc1cnc2[nH]ncc2c1', 'CC(C)S(=O)(=O)c1ccccc1Br']; [0.9999830722808838, 0.9998515248298645, 0.9998384714126587, 0.9994052648544312, 0.9985091686248779, 0.984329104423523]
 O=C(Nc1cccc(-c2c(Br)cnc3[nH]ncc23)c1)C1CCNCC1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+CCn1cc(-c2cnc3[nH]ncc3c2)cn1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CCn1cc(I)cn1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1']; ['CCn1cc(I)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1']; [0.9999039173126221, 0.9998310804367065, 0.9995852708816528, 0.9993053674697876, 0.987493634223938]
+COC(C)(C)CCc1cnc2[nH]ncc2c1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'FC(F)(F)c1cccc(I)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'FC(F)(F)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'FC(F)(F)c1cccc(Cl)c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(Br)c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'FC(F)(F)c1cccc(Cl)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.9999675750732422, 0.9999602437019348, 0.9999473094940186, 0.9999231100082397, 0.9999134540557861, 0.9998689889907837, 0.9998364448547363, 0.9997817873954773, 0.9997372627258301, 0.9996187090873718, 0.999423623085022, 0.9994211196899414, 0.9950385689735413, 0.9874786734580994, 0.9565383195877075]
+FC(F)(F)Oc1ccccc1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1Cl', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccccc1I']; ['FC(F)(F)Oc1ccccc1Br', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccccc1OC(F)(F)F', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1ccccc1OC(F)(F)F', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'Ic1cnc2[nH]ncc2c1', 'c1cnc2[nH]ncc2c1']; [0.9999929666519165, 0.9999854564666748, 0.999972939491272, 0.999940037727356, 0.999935507774353, 0.9999116659164429, 0.999888002872467, 0.9998676180839539, 0.9997316598892212, 0.9992347359657288, 0.9983102083206177, 0.992973804473877, 0.9720934629440308, 0.8235712051391602]
+c1ccc2c(-c3cnc4[nH]ncc4c3)ccnc2c1; ['Brc1ccnc2ccccc12', 'Brc1ccnc2ccccc12', 'Brc1cnc2[nH]ncc2c1', 'Ic1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Clc1ccnc2ccccc12', 'Brc1cnc2[nH]ncc2c1', 'Brc1ccnc2ccccc12', 'Clc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1ccnc2ccccc12', 'Brc1cnc2[nH]ncc2c1', 'OB(O)c1ccnc2ccccc12']; [0.9999926686286926, 0.9999778270721436, 0.999934196472168, 0.9998866319656372, 0.9996945261955261, 0.9996672868728638, 0.9992399215698242, 0.9985221028327942, 0.9953566789627075, 0.9921372532844543]
+O=C([O-])c1ccccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cnc4[nH]ncc4c3)cc2c1=O; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cn1cnc2ccc(Br)cc2c1=O', 'Brc1cnc2[nH]ncc2c1']; ['Cn1cnc2ccc(Br)cc2c1=O', 'OB(O)c1cnc2[nH]ncc2c1', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9999791383743286, 0.9999168515205383, 0.9857659935951233]
+c1ccc(Cn2cc(-c3cnc4[nH]ncc4c3)cn2)cc1; ['Ic1cnn(Cc2ccccc2)c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnn(Cc2ccccc2)c1', 'Brc1cnn(Cc2ccccc2)c1', 'Brc1cnc2[nH]ncc2c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999408721923828, 0.9998363852500916, 0.9997446537017822, 0.9997169971466064, 0.9993644952774048, 0.9990577697753906, 0.9989975094795227, 0.9947863817214966]
+c1ccc(-c2ncc(-c3cnc4[nH]ncc4c3)[nH]2)cc1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1', 'NC(=O)c1ccccc1I', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1Br', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'NC(=O)c1ccccc1Cl', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'OB(O)c1cnc2[nH]ncc2c1', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1Br']; [0.9999938607215881, 0.999961256980896, 0.9999487400054932, 0.9999351501464844, 0.9999334812164307, 0.9998693466186523, 0.9996945858001709, 0.9996707439422607, 0.9991114735603333, 0.9974268674850464, 0.9961756467819214, 0.9958579540252686, 0.9103900194168091]
+COc1cnc(-c2cnc3[nH]ncc3c2)nc1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; ['COc1cnc(Cl)nc1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9993520975112915, 0.9990507960319519, 0.9985880255699158]
+OCCn1cc(-c2cnc3[nH]ncc3c2)cn1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C']; ['OCCn1cc(I)cn1', 'OCCn1cc(B(O)O)cn1', 'Ic1cnc2[nH]ncc2c1', 'OCCn1cc(I)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'Clc1cnc2[nH]ncc2c1']; [0.9999266862869263, 0.9998900890350342, 0.9998519420623779, 0.9998311996459961, 0.9992085099220276, 0.9988532066345215, 0.9950112104415894, 0.9936480522155762, 0.989868700504303]
+CC(C)C(=O)COc1cnc2[nH]ncc2c1; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Oc1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1']; [0.9088585376739502, 0.8655592799186707]
+Clc1ccc(Cl)c(-c2cnc3[nH]ncc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['Clc1ccc(Cl)c(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'OB(O)c1cc(Cl)ccc1Cl', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Br)c1']; [0.9999933242797852, 0.9999808073043823, 0.9999797344207764, 0.9999692440032959, 0.9999361038208008, 0.999616265296936, 0.9993758201599121, 0.9987039566040039, 0.9960343837738037, 0.9859755039215088]
+O=C(Nc1cccc(-c2cnc3[nH]ncc3c2)c1)c1ccccc1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999964237213135, 0.9999574422836304, 0.9999027848243713, 0.9998665452003479, 0.9998571276664734, 0.999625563621521]
+Cc1nc2ccccn2c1-c1cnc2[nH]ncc2c1; ['Cc1nc2ccccn2c1I', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cc1nc2ccccn2c1Br']; ['OB(O)c1cnc2[nH]ncc2c1', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999906420707703, 0.9999828338623047, 0.999980628490448, 0.9999788999557495]
+c1ccn2c(-c3cnc4[nH]ncc4c3)cnc2c1; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2ccccn12', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2ccccn12']; ['OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2ccccn12', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2ccccn12', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999920129776001, 0.9999916553497314, 0.9999895095825195, 0.9999738335609436, 0.9999548196792603, 0.9999058842658997]
+Cc1nc(C)c(-c2cnc3[nH]ncc3c2)s1; ['Brc1cnc2[nH]ncc2c1', 'Cc1nc(C)c(Br)s1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Brc1cnc2[nH]ncc2c1', 'Cc1csc(C)n1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'OB(O)c1cnc2[nH]ncc2c1', 'Cc1nc(C)c(Br)s1', 'Ic1cnc2[nH]ncc2c1', 'Cc1csc(C)n1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; [0.9999774694442749, 0.9999735951423645, 0.9999706745147705, 0.9998936653137207, 0.9733816385269165, 0.9634163975715637, 0.9311343431472778]
+Cc1ccc(-c2cnc3[nH]ncc3c2)c(Br)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cc1ccc(I)c(Br)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['Cc1ccc(I)c(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Cc1ccc(Br)c(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(I)c(Br)c1']; [0.9999362230300903, 0.9998120069503784, 0.9996892809867859, 0.9979884624481201, 0.9970452785491943, 0.9949411153793335, 0.8849760293960571, 0.8415324687957764]
+Cc1nc(N)sc1-c1cnc2[nH]ncc2c1; ['Cc1nc(N)sc1Br']; ['OB(O)c1cnc2[nH]ncc2c1']; [0.9999884366989136]
+c1cnn2c(-c3cnc4[nH]ncc4c3)cnc2c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999977350234985, 0.9999887943267822]
+CC(C)(C)c1nc(-c2cnc3[nH]ncc3c2)cs1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cccc(Cl)c1Br', 'Ic1cnc2[nH]ncc2c1', 'Clc1cccc(Cl)c1I', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999814033508301, 0.9999723434448242, 0.9999639987945557, 0.9998801946640015, 0.9998793601989746, 0.999313235282898, 0.9893743991851807]
 O=c1c2c(F)cccc2cnn1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cc1c(-c2cnc3[nH]ncc3c2)sc(=O)n1C; [None]; [None]; [0]
+c1cncc(CNc2cnc3[nH]ncc3c2)c1; ['Ic1cnc2[nH]ncc2c1', 'BrCc1cccnc1', 'Nc1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'ClCc1cccnc1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['NCc1cccnc1', 'Nc1cnc2[nH]ncc2c1', 'O=Cc1cccnc1', 'NCc1cccnc1', 'Nc1cnc2[nH]ncc2c1', 'NCc1cccnc1', 'NCc1cccnc1']; [0.9992085695266724, 0.9990599155426025, 0.9961613416671753, 0.9958604574203491, 0.9945487976074219, 0.984109103679657, 0.9700609445571899]
+Cc1ccc(Cl)c(-c2cnc3[nH]ncc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1cnc2[nH]ncc2c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Brc1cnc2[nH]ncc2c1']; ['Cc1ccc(Cl)c(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2[nH]ncc2c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Cc1ccc(Cl)c(Br)c1']; [0.9999836087226868, 0.9999635219573975, 0.9999513626098633, 0.9998955726623535, 0.9996398687362671, 0.9993348121643066, 0.9989639520645142, 0.9986139535903931, 0.9975894689559937, 0.99463951587677, 0.980010986328125, 0.9213659763336182]
+Brc1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cccc(Br)c1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Clc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Clc1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; [0.9999551177024841, 0.9999436140060425, 0.9999006986618042, 0.9998873472213745, 0.9998779892921448, 0.9998199939727783, 0.9996625185012817, 0.9996606111526489, 0.999584436416626, 0.9995821714401245, 0.9991856813430786, 0.9982509613037109, 0.972439706325531, 0.9193776845932007]
+c1cc(Cn2cncn2)cc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
 c1cnn2ncc(-c3cnc4[nH]ncc4c3)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cnc3[nH]ncc3c2)o1; [None]; [None]; [0]
+c1cncc(Nc2cnc3[nH]ncc3c2)c1; ['Nc1cccnc1', 'Nc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cccnc1', 'Nc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cccnc1', 'Ic1cccnc1', 'Fc1cnc2[nH]ncc2c1', 'Fc1cccnc1']; ['OB(O)c1cnc2[nH]ncc2c1', 'O=S(=O)(Oc1cccnc1)C(F)(F)F', 'Nc1cccnc1', 'Nc1cnc2[nH]ncc2c1', 'OB(O)c1cccnc1', 'Nc1cccnc1', 'Nc1cccnc1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cccnc1', 'Nc1cnc2[nH]ncc2c1']; [0.9990465641021729, 0.9988351464271545, 0.9914203882217407, 0.9885290861129761, 0.984815239906311, 0.9822782278060913, 0.9796128273010254, 0.9775643944740295, 0.9751025438308716, 0.9742978811264038, 0.9594849348068237]
+O=C(Nc1cnc2[nH]ncc2c1)c1cccs1; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1']; [0.999854564666748, 0.9996244311332703, 0.9804772138595581, 0.9131397008895874]
+CNc1nc(C)c(-c2cnc3[nH]ncc3c2)s1; [None]; [None]; [0]
+c1ccc2c(c1)ncn2-c1cnc2[nH]ncc2c1; ['Fc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9389084577560425, 0.9093628525733948, 0.889389157295227]
+c1nc(CCNc2cnc3[nH]ncc3c2)c[nH]1; ['NCCc1c[nH]cn1', 'Fc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'NCCc1c[nH]cn1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'N#CCc1c[nH]cn1', 'Nc1cnc2[nH]ncc2c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'NCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'Oc1cnc2[nH]ncc2c1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'Nc1cnc2[nH]ncc2c1', 'O=C(O)Cc1c[nH]cn1']; [0.9993815422058105, 0.9988170266151428, 0.9984254837036133, 0.9960806369781494, 0.9879434108734131, 0.9659914970397949, 0.9540876150131226, 0.9334195256233215, 0.8374749422073364]
+c1ccc2cc(-c3cnc4[nH]ncc4c3)ccc2c1; ['Brc1cnc2[nH]ncc2c1', 'Brc1ccc2ccccc2c1', 'Brc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1ccc2ccccc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1ccc2ccccc2c1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)COB(c2ccc3ccccc3c2)OC1', 'OB(O)c1ccc2ccccc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1ccc2ccccc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1ccc2ccccc2c1', 'Brc1cnc2[nH]ncc2c1']; [0.9999948740005493, 0.999984860420227, 0.9999663233757019, 0.9999560713768005, 0.9999383687973022, 0.9998743534088135, 0.9998413324356079, 0.999786376953125, 0.9997026920318604, 0.9996877312660217, 0.9996858239173889, 0.9995914697647095, 0.9992947578430176, 0.9980906248092651, 0.9970616698265076, 0.9826135635375977]
+Nc1nccc(-c2cnc3[nH]ncc3c2)n1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1']; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999932050704956, 0.9999910593032837, 0.9999642372131348, 0.9999459981918335, 0.9999047517776489]
+FC(F)(F)c1n[nH]cc1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I']; ['FC(F)(F)c1n[nH]cc1Br', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.999963104724884, 0.999959409236908, 0.9999591112136841, 0.9999423027038574]
+c1ccc(CCNc2cnc3[nH]ncc3c2)cc1; ['ClCCc1ccccc1', 'BrCCc1ccccc1', 'Nc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'O=CCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; [0.9945948123931885, 0.9849465489387512, 0.9705144166946411, 0.9704500436782837, 0.9542237520217896]
+c1ccc2c(-c3cnc4[nH]ncc4c3)cncc2c1; ['Brc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Brc1cnc2[nH]ncc2c1', 'Ic1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cncc2ccccc12', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cncc2ccccc12']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'Ic1cncc2ccccc12', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Clc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Ic1cncc2ccccc12', 'Brc1cncc2ccccc12', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999948740005493, 0.9999837875366211, 0.9999816417694092, 0.9999756217002869, 0.9999573230743408, 0.999954879283905, 0.9999449253082275, 0.9999279975891113, 0.9998859167098999, 0.9997885227203369, 0.9992853403091431, 0.996918797492981, 0.996844470500946, 0.9960231184959412, 0.9935909509658813, 0.9910407662391663]
+Cc1c(-c2cnc3[nH]ncc3c2)sc(=O)n1C; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cnc4[nH]ncc4c3)cc2)cn1; ['Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Brc1cnc2[nH]ncc2c1']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Ic1cnc2[nH]ncc2c1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'OB(O)c1cnc2[nH]ncc2c1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; [0.9999973773956299, 0.999988317489624, 0.9999881982803345, 0.9999663829803467, 0.9973955750465393, 0.9179238080978394]
+NC(=O)c1c(F)cccc1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl']; ['NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999808073043823, 0.9998833537101746, 0.9995040893554688, 0.9990143775939941]
+Nc1[nH]nc2cc(-c3cnc4[nH]ncc4c3)ccc12; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Cl)ccc12']; ['Nc1[nH]nc2cc(Br)ccc12', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999977946281433, 0.9997975826263428, 0.8681188821792603]
+Clc1ccc(CNc2cnc3[nH]ncc3c2)cc1; ['Clc1ccc(CBr)cc1', 'Nc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'ClCc1ccc(Cl)cc1', 'Fc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'OCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'Nc1cnc2[nH]ncc2c1', 'NCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9994481801986694, 0.9989500045776367, 0.9983705282211304, 0.9976308345794678, 0.9962882995605469, 0.9771398305892944, 0.9733413457870483, 0.8720105886459351]
+O=C([O-])Cc1cccc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
+Oc1cccc(-c2cnc3[nH]ncc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1']; ['Oc1cccc(I)c1', 'Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Cl)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Oc1cccc(Br)c1']; [0.9998430013656616, 0.9998083114624023, 0.999578058719635, 0.9995737075805664, 0.9992793202400208, 0.999266505241394, 0.9988203644752502, 0.9971076250076294, 0.9962462186813354, 0.9747589826583862, 0.8000165224075317]
+c1cc(-c2cnc3[nH]ncc3c2)ccc1-c1cn[nH]c1; ['Brc1cnc2[nH]ncc2c1', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; [0.9999974966049194, 0.9999175071716309, 0.9998955726623535, 0.9995717406272888, 0.9987195730209351, 0.9969485998153687, 0.9331482648849487]
+OCc1cccc(-c2cnc3[nH]ncc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['OCc1cccc(I)c1', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(Br)c1', 'Ic1cnc2[nH]ncc2c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'Clc1cnc2[nH]ncc2c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Cl)c1', 'OCc1cccc(I)c1', 'OCc1cccc(Br)c1']; [0.9999393224716187, 0.9999319314956665, 0.9998795986175537, 0.9996737241744995, 0.9996316432952881, 0.9993363618850708, 0.9985719919204712, 0.9977866411209106, 0.997300386428833, 0.9918280839920044, 0.9916043877601624, 0.974535346031189, 0.8277958035469055]
+Cn1ncc2cc(-c3cnc4[nH]ncc4c3)ccc21; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Cn1ncc2cc(I)ccc21', 'Clc1cnc2[nH]ncc2c1', 'Cn1ncc2cc(Br)ccc21', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cn1ncc2cc(Cl)ccc21', 'Brc1cnc2[nH]ncc2c1']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'OB(O)c1cnc2[nH]ncc2c1', 'Cn1ncc2cc(B(O)O)ccc21', 'OB(O)c1cnc2[nH]ncc2c1', 'Cn1ncc2cc(Cl)ccc21', 'OB(O)c1cnc2[nH]ncc2c1', 'Cn1ncc2cc(Br)ccc21']; [0.9999995231628418, 0.9999991655349731, 0.9999961853027344, 0.9999959468841553, 0.9999958276748657, 0.9999940991401672, 0.9999908804893494, 0.999984622001648, 0.9999727010726929, 0.9999701380729675, 0.9999687075614929, 0.9992436766624451, 0.9937248826026917]
+Fc1ccccc1CNc1cnc2[nH]ncc2c1; ['Fc1ccccc1CCl', 'Nc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'O=Cc1ccccc1F']; [0.9980865716934204, 0.9722439050674438]
+c1cc(Nc2cnc3[nH]ncc3c2)ccn1; ['Nc1cnc2[nH]ncc2c1', 'Nc1ccncc1', 'Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1ccncc1', 'Brc1ccncc1', 'Fc1ccncc1', 'Clc1ccncc1']; ['OB(O)c1ccncc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1']; [0.9998339414596558, 0.9991593956947327, 0.999143123626709, 0.9959748983383179, 0.9925543069839478, 0.992236852645874, 0.988091230392456, 0.9765455722808838, 0.9738624691963196, 0.967715859413147]
+CC(C)n1cc(-c2cnc3[nH]ncc3c2)nn1; ['C#Cc1cnc2[nH]ncc2c1']; ['CC(C)N=[N+]=[N-]']; [0.9999974966049194]
 CN1c2ccc(-c3cnc4[nH]ncc4c3)cc2CS1(=O)=O; [None]; [None]; [0]
 COc1cc(-c2cnc3[nH]ncc3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cnc3[nH]ncc3c2)nn1; [None]; [None]; [0]
+CCCn1cnc(-c2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
+CSc1nc(-c2cnc3[nH]ncc3c2)c[nH]1; [None]; [None]; [0]
+c1ncc2c(-c3cnc4[nH]ncc4c3)csc2n1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C']; [0.9999858140945435, 0.9999828338623047]
+c1ccc2[nH]c(-c3cnc4[nH]ncc4c3)cc2c1; ['Clc1cc2ccccc2[nH]1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C']; ['OB(O)c1cnc2[nH]ncc2c1', 'Clc1cc2ccccc2[nH]1']; [0.9996153116226196, 0.9987471699714661]
+Nc1nc(-c2cnc3[nH]ncc3c2)cs1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1nc(Br)cs1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1nc(Cl)cs1', 'CC(=O)c1cnc2[nH]ncc2c1', None]; ['Nc1nc(Br)cs1', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1nc(Cl)cs1', 'OB(O)c1cnc2[nH]ncc2c1', 'NC(N)=S', None]; [0.9999969601631165, 0.9999960660934448, 0.9999915361404419, 0.9998936653137207, 0.9989640712738037, 0]
+Nc1ncncc1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1ncncc1Br', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1ncncc1I', 'Nc1ncncc1Cl', 'Brc1cnc2[nH]ncc2c1']; ['Nc1ncncc1Br', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1ncncc1I', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1ncncc1Br']; [0.9999879598617554, 0.9999872446060181, 0.9999634623527527, 0.9999265670776367, 0.9958451986312866, 0.9891982078552246]
+N#CCCc1cccc(-c2cnc3[nH]ncc3c2)c1; ['Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'N#CCCc1cccc(Br)c1', 'Brc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(Br)c1']; [0.9997274279594421, 0.9995149374008179, 0.9994018077850342, 0.9993501901626587, 0.9986153841018677, 0.9666675329208374, 0.8337103128433228]
+CCNc1nc2ccc(-c3cnc4[nH]ncc4c3)cc2s1; [None]; [None]; [0]
 c1nc2[nH]ncc2cc1CCc1c[nH]nn1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cnc2[nH]ncc2c1; [None]; [None]; [0]
-O=C(Nc1cnc2[nH]ncc2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2cnc3[nH]ncc3c2)c(C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Brc1cnc2[nH]ncc2c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Fc1cccc(C(F)(F)F)c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1cnc2[nH]ncc2c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Ic1cnc2[nH]ncc2c1']; [0.9999942779541016, 0.9999934434890747, 0.9999915361404419, 0.9999877214431763, 0.9999783039093018, 0.9999400973320007, 0.9999143481254578, 0.9998936653137207, 0.9995529651641846, 0.994652271270752, 0.9333244562149048]
+c1ccc(Oc2cnc3[nH]ncc3c2)nc1; ['Brc1ccccn1', 'Clc1ccccn1', 'Fc1ccccn1', 'Brc1cnc2[nH]ncc2c1']; ['Oc1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1', 'Oc1ccccn1']; [0.9997246861457825, 0.9995807409286499, 0.9961951971054077, 0.9690046310424805]
+CC(C)c1oncc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1']; [0.9999946355819702, 0.9999806880950928]
+O=C(Nc1cnc2[nH]ncc2c1)c1c(Cl)cccc1Cl; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'COC(=O)c1c(Cl)cccc1Cl', 'O=C(Cl)c1c(Cl)cccc1Cl', 'Nc1cnc2[nH]ncc2c1', 'CCOC(=O)c1c(Cl)cccc1Cl', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl', 'Nc1cnc2[nH]ncc2c1', 'O=[N+]([O-])c1cnc2[nH]ncc2c1', 'O=C([O-])c1c(Cl)cccc1Cl', 'Nc1cnc2[nH]ncc2c1', 'NC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl']; [0.9999233484268188, 0.9998153448104858, 0.9984703063964844, 0.998058557510376, 0.9974186420440674, 0.9959063529968262, 0.9947118163108826, 0.9935550093650818, 0.9626381397247314]
+CS(=O)(=O)C1CCN(c2cnc3[nH]ncc3c2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'Brc1cnc2[nH]ncc2c1']; ['Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'CS(=O)(=O)C1CCNCC1']; [0.9999220371246338, 0.999830424785614, 0.999421238899231, 0.9983620643615723, 0.9975802898406982]
+Cn1cc(-c2cnc3[nH]ncc3c2)c2ccccc21; ['Brc1cnc2[nH]ncc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999562501907349]
 CC(C)(COc1cnc2[nH]ncc2c1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cnc3[nH]ncc3c2)cc1Cl; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(Br)cc1Cl', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(Br)cc1Cl', 'Ic1cnc2[nH]ncc2c1', 'COc1ccc(I)cc1Cl', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl']; [0.9999977350234985, 0.9999819397926331, 0.9999802112579346, 0.9999649524688721, 0.9999604225158691, 0.9999163150787354, 0.9999064207077026, 0.9996466636657715, 0.9995661973953247, 0.9993056058883667, 0.9991495609283447, 0.9984867572784424, 0.9978046417236328, 0.9371053576469421]
+NC(=O)CCCc1cnc2[nH]ncc2c1; [None]; [None]; [0]
+c1ccn2ncc(-c3cnc4[nH]ncc4c3)c2c1; ['Ic1cnn2ccccc12', 'Brc1cnn2ccccc12', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnn2ccccc12', 'Clc1cnn2ccccc12', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; [0.999998927116394, 0.9999963641166687, 0.9999910593032837, 0.9999825358390808, 0.9999513030052185, 0.9998900890350342, 0.9997888803482056, 0.9996070861816406, 0.9986996650695801]
+CC(=O)Nc1cccc(-c2cnc3[nH]ncc3c2)c1; ['CC(=O)Nc1cccc(Br)c1', 'Brc1cnc2[nH]ncc2c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Brc1cnc2[nH]ncc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Brc1cnc2[nH]ncc2c1', 'CC(=O)Nc1cccc(Cl)c1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Ic1cnc2[nH]ncc2c1', 'CC(=O)Nc1cccc(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.999994158744812, 0.9999939203262329, 0.9999125003814697, 0.999846875667572, 0.9998182058334351, 0.9993462562561035, 0.9991457462310791, 0.9989835023880005, 0.9987777471542358, 0.9936183094978333, 0.9841748476028442]
+CCCn1cc(-c2cnc3[nH]ncc3c2)cn1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1', 'Brc1cnc2[nH]ncc2c1']; ['CCCn1cc(I)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCCn1cc(Br)cn1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCCn1cc(B(O)O)cn1']; [0.9999750256538391, 0.9999634027481079, 0.999920129776001, 0.9998993873596191, 0.9998784065246582, 0.9998416900634766, 0.9996393918991089, 0.9986894726753235, 0.995414137840271]
+O=c1cc(-c2cnc3[nH]ncc3c2)cc[nH]1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'O=c1cc(I)cc[nH]1', 'O=c1cc(Br)cc[nH]1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'O=c1cc(Br)cc[nH]1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=c1cc(Br)cc[nH]1']; [0.999975323677063, 0.9996514320373535, 0.9993282556533813, 0.9967533349990845, 0.7834320664405823]
+CC(C)(O)CC(=O)NCCc1cnc2[nH]ncc2c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9997585415840149, 0.9638615846633911, 0.8714780807495117]
+C[S@](=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CS(=O)c1ccc(Br)cc1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999817609786987, 0.9998359680175781, 0.9992467164993286, 0.996522068977356]
+CCNS(=O)(=O)c1ccccc1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCNS(=O)(=O)c1ccccc1Br', 'Brc1cnc2[nH]ncc2c1']; ['CCNS(=O)(=O)c1ccccc1Br', 'OB(O)c1cnc2[nH]ncc2c1', 'CCNS(=O)(=O)c1ccccc1Br']; [0.9999744892120361, 0.9983749389648438, 0.9326562285423279]
+COc1cc(CCc2cnc3[nH]ncc3c2)cc(OC)c1; [None]; [None]; [0]
+CCN(CC)c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cnc4[nH]ncc4c3)c21; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['O=C1CCc2cccc(Br)c21', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21']; [0.9999921917915344, 0.9999814033508301, 0.9997549653053284, 0.9996470212936401, 0.9980931878089905, 0.9940146207809448]
+C[C@@H](Oc1cnc2[nH]ncc2c1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Brc1cnc2[nH]ncc2c1', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Clc1cnc2[nH]ncc2c1']; [0.9980783462524414, 0.9933082461357117, 0.992310643196106, 0.9773163795471191, 0.9608633518218994]
 [NH3+]Cc1ccc(-c2cnc3[nH]ncc3c2)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1cnc2[nH]ncc2c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
+c1ccc(-c2ccncc2Nc2cnc3[nH]ncc3c2)cc1; ['Nc1cnccc1-c1ccccc1', 'Brc1cnccc1-c1ccccc1', 'Nc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'OB(O)c1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.999885082244873, 0.9997564554214478, 0.9997298717498779, 0.997990071773529, 0.990969181060791, 0.9894331693649292, 0.9893163442611694]
+CC(C)Oc1cncc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; [0.999984860420227, 0.9999699592590332, 0.9999554753303528, 0.9996273517608643, 0.9992398023605347, 0.998262882232666, 0.9973821640014648, 0.922066330909729]
+CC(C)(C)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'Brc1cnc2[nH]ncc2c1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1']; [0.9999991059303284, 0.9999942183494568, 0.9999914169311523, 0.9999809861183167, 0.9999806880950928, 0.9999663829803467, 0.9999529719352722, 0.9999518394470215, 0.999889612197876, 0.9993414282798767, 0.9993058443069458, 0.9717931151390076]
+COc1ccncc1Nc1cnc2[nH]ncc2c1; ['COc1ccncc1B(O)O', 'COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1N', 'COc1ccncc1Br', 'COc1ccncc1Cl', 'COc1ccncc1F', 'COc1ccncc1N', 'COc1ccncc1N', 'Brc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'COc1ccncc1N']; [0.9997944831848145, 0.9993706941604614, 0.9990348815917969, 0.9987269639968872, 0.9986343383789062, 0.9981158375740051, 0.997499942779541, 0.9945203065872192, 0.994342565536499, 0.9879965782165527]
+O=c1[nH]ccc2oc(-c3cnc4[nH]ncc4c3)cc12; [None]; [None]; [0]
+COc1cccc(F)c1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cccc(F)c1Br', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cccc(F)c1B(O)O', 'Brc1cnc2[nH]ncc2c1', 'COc1cccc(F)c1B(O)O', 'Brc1cnc2[nH]ncc2c1', 'COc1cccc(F)c1']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Br', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1cccc(F)c1Cl', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'COc1cccc(F)c1I', 'Ic1cnc2[nH]ncc2c1', 'COc1cccc(F)c1B(O)O', 'Clc1cnc2[nH]ncc2c1', 'COc1cccc(F)c1Br', 'Ic1cnc2[nH]ncc2c1']; [0.9999986290931702, 0.9999986290931702, 0.9999980926513672, 0.9999954700469971, 0.9999943971633911, 0.9999922513961792, 0.999988317489624, 0.9999847412109375, 0.9999603033065796, 0.9998860359191895, 0.9997097253799438, 0.9988720417022705, 0.9879568815231323]
+c1ccc2ncc(Nc3cnc4[nH]ncc4c3)cc2c1; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Clc1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Fc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2[nH]ncc2c1', 'c1cnc2[nH]ncc2c1']; [0.9981249570846558, 0.9981249570846558, 0.996652364730835, 0.996652364730835, 0.9744230508804321, 0.9744230508804321, 0.9717041254043579, 0.9717041254043579, 0.9643430709838867, 0.9643430709838867, 0.77884840965271]
+c1cc2c(-c3cnc4[nH]ncc4c3)c[nH]c2cn1; ['Brc1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1c[nH]c2cnccc12']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'Brc1cnc2[nH]ncc2c1']; [0.9999717473983765, 0.9992144107818604, 0.9406498670578003, 0.8922012448310852, 0.8272236585617065]
 O=c1[nH]cc(Br)c2sc(-c3cnc4[nH]ncc4c3)cc12; [None]; [None]; [0]
-CN(c1cnc2[nH]ncc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+c1cc2cc(-c3cnc4[nH]ncc4c3)cnc2[nH]1; ['Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; [0.9999988079071045, 0.9999988079071045, 0.999989926815033, 0.999989926815033, 0.9999828338623047, 0.9999828338623047, 0.9999793767929077, 0.9999793767929077, 0.9999494552612305, 0.9999494552612305, 0.9997750520706177, 0.9997750520706177, 0.9968822598457336]
+c1cc(N2CCOCC2)ccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1', 'Ic1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1ccc(N2CCOCC2)cc1', 'Brc1cnc2[nH]ncc2c1', 'Brc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1cnc2[nH]ncc2c1']; [0.9999996423721313, 0.9999986886978149, 0.9999985098838806, 0.9999979734420776, 0.9999939203262329, 0.9999934434890747, 0.9999923706054688, 0.9999882578849792, 0.9999805688858032, 0.9999750852584839, 0.9999492168426514, 0.9999116659164429, 0.9998396635055542, 0.9944891333580017]
+CNS(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999845623970032, 0.9999807476997375, 0.9999580979347229, 0.999826192855835, 0.9997530579566956, 0.9983124732971191, 0.9918515086174011, 0.9545455574989319]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2[nH]ncc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [0.9999924302101135, 0.9999921321868896, 0.9999819993972778, 0.9999021887779236, 0.9998588562011719, 0.9998396635055542, 0.9995898604393005, 0.9933158159255981, 0.771830677986145]
+CNC(=O)c1c(F)cccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(I)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(I)cc1', 'Clc1cnc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Clc1cnc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(Br)cc1']; [0.9999974370002747, 0.9999953508377075, 0.9999930262565613, 0.9999834299087524, 0.9999759197235107, 0.9999695420265198, 0.9999662637710571, 0.9999351501464844, 0.9999197721481323, 0.9995599985122681, 0.9983731508255005, 0.9965164661407471, 0.9958142638206482, 0.9686471223831177, 0.9038234353065491]
+Cc1cc(-c2cnc3[nH]ncc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CC1(c2cnc3[nH]ncc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@@H](Nc1cnc2[nH]ncc2c1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1']; [0.9896451234817505, 0.9086414575576782]
+C[C@H](Nc1cnc2[nH]ncc2c1)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1']; [0.9896451234817505, 0.9086414575576782]
 C[C@H](Nc1cnc2[nH]ncc2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2cnc3[nH]ncc3c2)n1; ['Brc1cnc2[nH]ncc2c1']; ['OCc1cc[nH]n1']; [0.9825723171234131]
+CN(c1cnc2[nH]ncc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Fc1cccc(Cl)c1I', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; ['Fc1cccc(Cl)c1Br', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1I', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl']; [0.9999997615814209, 0.999999463558197, 0.9999992847442627, 0.9999972581863403, 0.9999967813491821, 0.9999717473983765, 0.9999641180038452, 0.9990243315696716]
+c1ccc2c(c1)cnn2-c1cnc2[nH]ncc2c1; ['OB(O)c1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9983986020088196, 0.9634510278701782, 0.9036052227020264, 0.853896975517273]
+CSc1nc(C)c(-c2cnc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
+OCCc1cn(-c2cnc3[nH]ncc3c2)cn1; [None]; [None]; [0]
+COc1ccc(-c2cnc3[nH]ncc3c2)c(OC)c1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Brc1cnc2[nH]ncc2c1', 'COc1ccc(B(O)O)c(OC)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(Cl)c(OC)c1', 'Brc1cnc2[nH]ncc2c1', 'COc1cccc(OC)c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ccc(I)c(OC)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'COc1ccc(B(O)O)c(OC)c1', 'Clc1cnc2[nH]ncc2c1', 'COc1ccc(Cl)c(OC)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ccc(Br)c(OC)c1', 'Ic1cnc2[nH]ncc2c1']; [0.9999754428863525, 0.9999243021011353, 0.9999111890792847, 0.9998781681060791, 0.9998548030853271, 0.9997994303703308, 0.9997661113739014, 0.9996521472930908, 0.9995067119598389, 0.9982835054397583, 0.9975119829177856, 0.9618983268737793, 0.7897480130195618]
+Oc1ccc2nc(-c3cnc4[nH]ncc4c3)[nH]c2c1; ['Nc1ccc(O)cc1N']; ['O=Cc1cnc2[nH]ncc2c1']; [0.9556819796562195]
+c1ncn(-c2ccc(-c3cnc4[nH]ncc4c3)cc2)n1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1cnc2[nH]ncc2c1; ['Fc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.999243974685669, 0.9982287883758545, 0.9966716170310974, 0.9714462757110596]
+O=C(c1ccccc1)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'O=C(c1ccccc1)c1ccccc1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'Clc1cnc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccccc1', 'OB(O)c1cnc2[nH]ncc2c1', 'c1cnc2[nH]ncc2c1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'c1cnc2[nH]ncc2c1']; [0.9999980926513672, 0.9999841451644897, 0.9999806880950928, 0.9999784827232361, 0.9999611973762512, 0.9999414086341858, 0.9999195337295532, 0.999801754951477, 0.9996961355209351, 0.99964839220047, 0.9994242191314697, 0.9989807605743408, 0.9973758459091187, 0.9901946187019348, 0.9845355153083801, 0.9829617738723755, 0.970532238483429, 0.9570527672767639, 0.7862852215766907]
 [NH3+]CCn1ccc(-c2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4cnc5[nH]ncc5c4)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1cnc2[nH]ncc2c1)NCc1ccccn1; [None]; [None]; [0]
+c1nc2[nH]ncc2cc1-c1nncn1C1CC1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
+Nc1nnc(-c2cnc3[nH]ncc3c2)s1; ['NNC(N)=S']; ['O=C(O)c1cnc2[nH]ncc2c1']; [0.993741512298584]
+c1ccc(Cn2cc(-c3cnc4[nH]ncc4c3)nn2)cc1; ['C#Cc1cnc2[nH]ncc2c1']; ['[N-]=[N+]=NCc1ccccc1']; [0.9999990463256836]
 O=S(=O)(Cc1cnc2[nH]ncc2c1)NCc1ccccn1; [None]; [None]; [0]
+CCc1cc(-c2cnc3[nH]ncc3c2)nc(N)n1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCc1cc(Cl)nc(N)n1']; ['CCc1cc(Cl)nc(N)n1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999970197677612, 0.9999488592147827]
+CNC(=O)c1ccc(-c2cnc3[nH]ncc3c2)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cnc3[nH]ncc3c2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Cl)n1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'CC(C)(O)c1cccc(Br)n1']; [0.9999837875366211, 0.9999363422393799, 0.9998776912689209, 0.9991195201873779, 0.9917621612548828]
+c1ccc2sc(-c3cnc4[nH]ncc4c3)nc2c1; ['Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'c1ccc2scnc2c1']; [0.9999951124191284, 0.9997332692146301, 0.9990534782409668]
+CCCCc1cc(-c2cnc3[nH]ncc3c2)nc(N)n1; [None]; [None]; [0]
+Nc1cncc(-c2cnc3[nH]ncc3c2)n1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1cncc(Br)n1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1cncc(Cl)n1']; ['Nc1cncc(Br)n1', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1cncc(Cl)n1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999855756759644, 0.9999727010726929, 0.9999558329582214, 0.9999115467071533]
+c1cc(-c2cnc3[nH]ncc3c2)c2sccc2c1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cccc2ccsc12', 'Ic1cnc2[nH]ncc2c1', 'Brc1cccc2ccsc12', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Clc1cccc2ccsc12', 'Clc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cccc2ccsc12']; [0.9999951720237732, 0.9999232888221741, 0.999912440776825, 0.9998322129249573, 0.9998269081115723, 0.9995187520980835, 0.9994562864303589, 0.9976232051849365, 0.9927419424057007]
 Cn1cc(C(N)=O)cc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+c1cc(-c2cnc3[nH]ncc3c2)c2snnc2c1; ['Brc1cccc2nnsc12', 'Brc1cccc2nnsc12', 'Clc1cccc2nnsc12']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999947547912598, 0.9998972415924072, 0.9991687536239624]
+CC1(C)Oc2ccc(-c3cnc4[nH]ncc4c3)nc2NC1=O; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)Oc2ccc(Br)nc2NC1=O', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)Oc2cccnc2NC1=O']; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)Oc2ccc(Br)nc2NC1=O', 'Ic1cnc2[nH]ncc2c1']; [0.9999585151672363, 0.9985549449920654, 0.8518283367156982, 0.8127366304397583]
 [NH3+]Cc1ccc(Oc2cnc3[nH]ncc3c2)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cnc4[nH]ncc4c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc4[nH]ncc4c3)c2)cc1; [None]; [None]; [0]
-c1cc(-c2cnc3[nH]ncc3c2)c2snnc2c1; [None]; [None]; [0]
-COc1ccc(Oc2cnc3[nH]ncc3c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnc3[nH]ncc3c2)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
+Nc1nc(-c2cnc3[nH]ncc3c2)nc2ccccc12; ['N#Cc1ccccc1Br', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1nc(Cl)nc2ccccc12']; ['O=Cc1cnc2[nH]ncc2c1', 'Nc1nc(Cl)nc2ccccc12', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999294281005859, 0.9995896816253662, 0.9991292953491211]
+c1cnc2c(-c3cnc4[nH]ncc4c3)c[nH]c2c1; ['Brc1cnc2[nH]ncc2c1', 'Brc1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C']; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1c[nH]c2cccnc12']; [0.9999582171440125, 0.9990686178207397, 0.9987186193466187, 0.9964191913604736]
+c1ccc2nc(-c3cnc4[nH]ncc4c3)ncc2c1; ['Brc1ncc2ccccc2n1', 'Brc1ncc2ccccc2n1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1ccccc1CO', 'Clc1ncc2ccccc2n1', 'BrCc1ccccc1Br', 'Brc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1ncc2ccccc2n1', 'O=Cc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=Cc1cnc2[nH]ncc2c1', 'c1ccc2ncncc2c1', 'c1ccc2ncncc2c1', 'c1ccc2ncncc2c1']; [0.9998922944068909, 0.999860405921936, 0.9995285272598267, 0.9993348121643066, 0.9993025064468384, 0.9955500960350037, 0.9786890149116516, 0.9612451195716858, 0.9189191460609436]
+COc1ccc(C#N)cc1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl', 'Brc1cnc2[nH]ncc2c1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2[nH]ncc2c1']; ['COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ccc(C#N)cc1B(O)O', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'COc1ccc(C#N)cc1Br']; [0.9999881982803345, 0.999982476234436, 0.9999807476997375, 0.9999665021896362, 0.9999475479125977, 0.9999313354492188, 0.9998971223831177, 0.9998689889907837, 0.9998603463172913, 0.9998286366462708, 0.9997185468673706, 0.9913254976272583]
+c1cc2cnc(-c3cnc4[nH]ncc4c3)nc2[nH]1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1ncc2cc[nH]c2n1']; ['Clc1ncc2cc[nH]c2n1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9998406171798706, 0.9996809959411621]
+COc1ccc(OC)c(-c2cnc3[nH]ncc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'Brc1cnc2[nH]ncc2c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'Brc1cnc2[nH]ncc2c1']; ['COc1ccc(OC)c(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'COc1ccc(OC)c(B(O)O)c1']; [0.9999712705612183, 0.9999490976333618, 0.999866247177124, 0.9998050928115845, 0.9997128248214722, 0.9990713596343994, 0.9987070560455322]
+COc1ccc(Oc2cnc3[nH]ncc3c2)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(Br)c(F)c1F', 'COc1ccc(B(O)O)c(F)c1F', 'Brc1cnc2[nH]ncc2c1', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F']; ['OB(O)c1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1', 'COc1ccc(O)c(F)c1F', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1']; [0.9998617768287659, 0.9996792078018188, 0.9993947744369507, 0.9991339445114136, 0.9985353946685791, 0.9908373355865479, 0.9771765470504761, 0.8844192028045654]
+CC(=O)Nc1ncc(-c2cnc3[nH]ncc3c2)[nH]1; [None]; [None]; [0]
+OCCn1cnc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ncccc1I', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'COc1ncccc1Cl', 'COc1ncccc1B(O)O', 'Brc1cnc2[nH]ncc2c1', 'COc1ncccc1Br', 'Brc1cnc2[nH]ncc2c1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ncccc1I', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ncccc1Cl', 'COc1ncccc1B(O)O', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'COc1ncccc1I', 'Ic1cnc2[nH]ncc2c1', 'COc1ncccc1Br']; [0.9999697208404541, 0.9999245405197144, 0.9998705983161926, 0.9998514652252197, 0.9998409748077393, 0.9997695684432983, 0.9997581243515015, 0.9996501207351685, 0.9994176626205444, 0.9993215799331665, 0.9992092847824097, 0.9990613460540771, 0.9988836050033569, 0.9980090260505676, 0.9964017868041992, 0.972021222114563]
+C1=C(c2c[nH]c3ccccc23)CCN(c2cnc3[nH]ncc3c2)C1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'Brc1cnc2[nH]ncc2c1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'Clc1cnc2[nH]ncc2c1']; [0.9998534917831421, 0.9994581341743469, 0.9991431832313538, 0.9985799193382263]
+c1ccc2[nH]c(C3CCN(c4cnc5[nH]ncc5c4)CC3)nc2c1; ['Brc1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999767541885376, 0.9973251223564148]
+CN(C)c1cc(-c2cnc3[nH]ncc3c2)cnn1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
+CCOc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'Brc1cnc2[nH]ncc2c1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCOc1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Br)cc1']; [0.9999969005584717, 0.9999620914459229, 0.999950647354126, 0.9999407529830933, 0.9999088644981384, 0.9999086856842041, 0.9999050498008728, 0.9997488856315613, 0.9996815323829651, 0.9992865324020386, 0.9982390403747559, 0.9969863891601562, 0.9199789762496948]
+Cc1nc(C(C)(C)O)sc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1']; ['Cc1csc(C(C)(C)O)n1']; [0.9989373683929443]
+CS(=O)(=O)c1cccc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(Br)c1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CS(=O)(=O)c1cccc(Br)c1']; [0.9999977350234985, 0.9999958276748657, 0.9999819993972778, 0.9999740123748779, 0.9999610185623169, 0.9999233484268188, 0.9999213218688965, 0.9999099969863892, 0.9999067187309265, 0.9997738599777222, 0.9921743869781494]
+CC(=O)N(C)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC(=O)N(C)c1ccccc1']; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccccc1', 'Ic1cnc2[nH]ncc2c1']; [0.9999990463256836, 0.9999924898147583, 0.9999877214431763, 0.9999771118164062, 0.9998635053634644, 0.9447088837623596, 0.8639371395111084, 0.7976629734039307]
+COc1cc(-c2cnc3[nH]ncc3c2)cc(OC)c1OC; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['COc1cc(Br)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; [0.999919056892395, 0.9999165534973145, 0.9997961521148682, 0.9994083642959595, 0.999402642250061, 0.999284029006958, 0.9965131282806396, 0.9952377080917358, 0.9374686479568481]
 O=C(Nc1cccc(-c2cnc3[nH]ncc3c2)c1)C1CCNCC1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4[nH]ncc4c3)cc2)CC1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cnc4[nH]ncc4c3)c2c1; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['Fc1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; [0.9925268888473511, 0.9839750528335571, 0.9677802324295044, 0.9217763543128967, 0.8610134124755859]
+COc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ccc(Br)cc1']; [0.999992847442627, 0.9999594688415527, 0.9999116063117981, 0.9998602867126465, 0.9998393058776855, 0.9998186826705933, 0.9995822310447693, 0.9991825819015503, 0.9961570501327515, 0.8541098833084106]
+Cc1cc(Nc2cnc3[nH]ncc3c2)sn1; ['Cc1cc(N)sn1', 'Brc1cnc2[nH]ncc2c1', 'Cc1cc(N)sn1']; ['Clc1cnc2[nH]ncc2c1', 'Cc1cc(N)sn1', 'Ic1cnc2[nH]ncc2c1']; [0.9997018575668335, 0.9992520809173584, 0.9983341693878174]
+N#Cc1ccc(O)c(-c2cnc3[nH]ncc3c2)c1; ['N#Cc1ccc(O)c(I)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'N#Cc1ccc(O)c(Br)c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'N#Cc1ccc(O)c(Cl)c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Br)c1']; [0.9999509453773499, 0.9999464154243469, 0.9999158978462219, 0.9998905658721924, 0.9988291263580322, 0.9976097345352173, 0.9957761764526367, 0.9957603216171265, 0.9520388841629028]
+c1ccc2[nH]c(-c3cnc4[nH]ncc4c3)nc2c1; ['Clc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Brc1nc2ccccc2[nH]1', 'CCOC(=O)c1cnc2[nH]ncc2c1', 'Nc1ccccc1N', 'Ic1cnc2[nH]ncc2c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'O=Cc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1ccccc1N', 'O=C(O)c1cnc2[nH]ncc2c1', 'c1ccc2[nH]cnc2c1']; [0.9996796250343323, 0.9991616010665894, 0.9991146326065063, 0.9874494075775146, 0.948939859867096, 0.7884560823440552]
+O=C([O-])c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'O=C([O-])c1ccc(Cl)cc1']; ['O=C([O-])c1ccc(Cl)cc1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9701741337776184, 0.847286581993103]
+c1cnc(Nc2cnc3[nH]ncc3c2)nc1; ['Fc1ncccn1', 'Brc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CS(=O)c1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.999407172203064, 0.9989133477210999, 0.9982882738113403, 0.9971017241477966, 0.9893550872802734, 0.9867596626281738, 0.9590790867805481, 0.9509871006011963, 0.9406958818435669]
+NC(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(I)cc1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'NC(=O)c1ccc(Br)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'NC(=O)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'NC(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'NC(=O)c1ccc(Cl)cc1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999963641166687, 0.9999747276306152, 0.9999724626541138, 0.9999352693557739, 0.9999297857284546, 0.9998974800109863, 0.9997720718383789, 0.9997186064720154, 0.9994827508926392, 0.9978636503219604, 0.9884617328643799, 0.9828539490699768]
+O=C(Nc1cccc(-c2cnc3[nH]ncc3c2)c1)C1CC1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'O=C(Nc1cccc(Br)c1)C1CC1']; ['O=C(Nc1cccc(Br)c1)C1CC1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999971389770508, 0.9998832941055298]
 N#Cc1cccc(Cn2cc(-c3cnc4[nH]ncc4c3)cn2)c1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3cnc4[nH]ncc4c3)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(-c2cnc3[nH]ncc3c2)nc(N)n1; [None]; [None]; [0]
+c1ccc2c(-c3cnc4[nH]ncc4c3)nccc2c1; ['Ic1nccc2ccccc12', 'Brc1nccc2ccccc12', 'Brc1nccc2ccccc12', 'Clc1nccc2ccccc12', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C']; ['OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1nccc2ccccc12']; [0.9999771118164062, 0.9998395442962646, 0.9998120069503784, 0.9996316432952881, 0.998753547668457]
+O=C(Nc1ccccc1)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999995231628418, 0.9999945163726807, 0.9999902248382568, 0.9999771118164062, 0.999975323677063, 0.9999717473983765, 0.9997062087059021, 0.9996941089630127, 0.9976415634155273, 0.993055522441864]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4[nH]ncc4c3)cc2)CC1; [None]; [None]; [0]
+c1cc(-c2cnc3[nH]ncc3c2)cc(C2CCNCC2)c1; ['Brc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; [0.9999997615814209, 0.999984622001648, 0.9958717823028564]
+OCCOc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(I)cc1', 'Clc1cnc2[nH]ncc2c1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(Cl)cc1', 'OCCOc1ccc(Br)cc1']; [0.9999946355819702, 0.9999775886535645, 0.9999678134918213, 0.9999476671218872, 0.9999388456344604, 0.9999377727508545, 0.999903678894043, 0.9998728036880493, 0.9997835159301758, 0.999038577079773, 0.9969110488891602, 0.9192548990249634]
+CC(=O)NCc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC(=O)NCc1ccc(B(O)O)cc1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999986886978149, 0.9999911785125732, 0.9999692440032959, 0.9999130964279175, 0.9998795986175537, 0.9996820688247681, 0.9981977939605713]
+O=C(c1ccc(-c2cnc3[nH]ncc3c2)nc1)N1CCOCC1; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999963641166687, 0.9999858140945435, 0.9996917843818665]
+c1cc(Nc2cnc3[nH]ncc3c2)ncn1; ['Nc1ccncn1', 'Clc1ccncn1', 'Fc1ccncn1', 'Ic1cnc2[nH]ncc2c1', 'Brc1ccncn1', 'Fc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1ccncn1', 'Nc1cnc2[nH]ncc2c1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9998965263366699, 0.9993901252746582, 0.9989233016967773, 0.9980524778366089, 0.9979858994483948, 0.9970672726631165, 0.9959353804588318]
+O=C(c1ccc(-c2cnc3[nH]ncc3c2)cc1)N1CCOCC1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'Clc1cnc2[nH]ncc2c1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9999996423721313, 0.9999990463256836, 0.9999988079071045, 0.9999980330467224, 0.9999942779541016, 0.9999939203262329, 0.9999918937683105, 0.9999916553497314, 0.9999657869338989, 0.9999447464942932, 0.9998500347137451, 0.9996272921562195, 0.9880738258361816]
+FC(F)(F)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'FC(F)(F)c1ccc(I)cc1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1', 'Clc1cnc2[nH]ncc2c1', 'FC(F)(F)c1ccc(Br)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'FC(F)(F)c1ccc(Br)cc1']; [0.9999951124191284, 0.9999920129776001, 0.9999867081642151, 0.9999817609786987, 0.9999284744262695, 0.9999185800552368, 0.9998958110809326, 0.9997910857200623, 0.9997278451919556, 0.9994159936904907, 0.9968767166137695, 0.9520045518875122]
+C[C@H](O)COc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CN(C)c1ccc(I)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CN(C)c1ccc(B(O)O)cc1', 'Brc1cnc2[nH]ncc2c1', 'CN(C)c1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(Cl)cc1', 'Brc1cnc2[nH]ncc2c1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CN(C)c1ccc(Br)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'CN(C)c1ccc(I)cc1', 'Clc1cnc2[nH]ncc2c1', 'CN(C)c1ccc(B(O)O)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'CN(C)c1ccc(I)cc1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CN(C)c1ccc(Br)cc1']; [0.9999990463256836, 0.9999935626983643, 0.9999910593032837, 0.9999854564666748, 0.9999830722808838, 0.9999810457229614, 0.9999784827232361, 0.9999659657478333, 0.9999526739120483, 0.9996575117111206, 0.9990004301071167, 0.9987055063247681, 0.9981952905654907, 0.9448413848876953]
+O=S1(=O)Cc2ccc(-c3cnc4[nH]ncc4c3)cc2C1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'O=S1(=O)Cc2ccc(Br)cc2C1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999959468841553, 0.9999819397926331]
+CN(C)S(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; [0.9999994039535522, 0.9999976754188538, 0.999990701675415, 0.9999898672103882, 0.9999880790710449, 0.999986469745636, 0.9999589323997498, 0.9999569654464722, 0.9998430013656616, 0.9992718696594238, 0.9449558258056641]
+C[C@@H](O)COc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
+CC(C)c1cc(-c2cnc3[nH]ncc3c2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1cc(Cl)nc(N)n1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1']; [0.999990701675415, 0.9999473094940186]
+CCNS(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1', 'Brc1cnc2[nH]ncc2c1']; ['Ic1cnc2[nH]ncc2c1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; [0.9999643564224243, 0.9999147653579712, 0.9998540878295898, 0.9995313286781311, 0.9919310808181763, 0.9691660404205322, 0.8603127598762512]
+CCCOc1ccc(-c2cnc3[nH]ncc3c2)nc1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCCOc1ccc(Br)nc1', 'Brc1cnc2[nH]ncc2c1']; ['CCCOc1ccc(Br)nc1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCCOc1ccc(Br)nc1']; [0.9999940395355225, 0.9999754428863525, 0.994316816329956]
+O=C(c1ccccc1)N1CC[C@H](c2cnc3[nH]ncc3c2)C1; [None]; [None]; [0]
+Brc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Brc1ccc(I)cc1', 'Brc1ccc(I)cc1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Brc1ccc(Br)cc1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1ccc(Br)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1ccc(I)cc1', 'Clc1ccc(Br)cc1', 'Brc1ccc(Br)cc1']; ['Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1ccc(Br)cc1', 'Clc1cnc2[nH]ncc2c1', 'CC1(C)COB(c2ccc(Br)cc2)OC1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1']; [0.9999802112579346, 0.9999527335166931, 0.9999353885650635, 0.9998960494995117, 0.9998584985733032, 0.9997363090515137, 0.9997183084487915, 0.9993611574172974, 0.9975667595863342, 0.9973382949829102, 0.9955615997314453, 0.994682788848877, 0.9619861841201782, 0.9553269147872925, 0.9297877550125122]
+c1cc2nc(-c3cnc4[nH]ncc4c3)ccn2n1; ['Clc1ccn2nccc2n1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1ccn2nccc2n1', 'Brc1ccn2nccc2n1']; ['OB(O)c1cnc2[nH]ncc2c1', 'Clc1ccn2nccc2n1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C']; [0.9999887943267822, 0.9999867081642151, 0.9999854564666748, 0.9999650120735168]
+CN(C)c1ccc(-c2cnc3[nH]ncc3c2)cc1Cl; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'Brc1cnc2[nH]ncc2c1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CN(C)c1ccc(Br)cc1Cl']; [0.9999991059303284, 0.9999980330467224, 0.9999897480010986, 0.9999748468399048, 0.9999291896820068, 0.9998505115509033, 0.986670196056366]
 CC(=O)N1CCCN(c2cccc(-c3cnc4[nH]ncc4c3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cnc3[nH]ncc3c2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cnc4[nH]ncc4c3)[nH]c2c1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'Brc1cnc2[nH]ncc2c1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2[nH]ncc2c1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'Brc1cnc2[nH]ncc2c1']; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'Clc1cnc2[nH]ncc2c1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CCN(CC)C(=O)c1ccccc1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; [0.9999994039535522, 0.9999984502792358, 0.9999954700469971, 0.9999910593032837, 0.9999887943267822, 0.9999815821647644, 0.9999792575836182, 0.9999454021453857, 0.9997878074645996, 0.9992644190788269, 0.9992468953132629, 0.9991345405578613, 0.9990215301513672, 0.9942045211791992, 0.9922306537628174, 0.9885534048080444, 0.964623212814331]
+COc1ccc(Cl)cc1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1I', 'Brc1cnc2[nH]ncc2c1', 'COc1ccc(Cl)cc1B(O)O']; ['COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ccc(Cl)cc1B(O)O', 'Clc1cnc2[nH]ncc2c1']; [0.9999569654464722, 0.9999457597732544, 0.9998311996459961, 0.9997416734695435, 0.9997210502624512, 0.9992688894271851, 0.9984012842178345]
+Cc1c(C(=O)[O-])cccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3cnc4[nH]ncc4c3)[nH]c2c1; ['CC(C)c1ccc(N)c([N+](=O)[O-])c1']; ['O=Cc1cnc2[nH]ncc2c1']; [0.9939159154891968]
+c1ccc(-n2cccn2)c(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1', 'Brc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Brc1ccccc1-n1cccn1', 'Clc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1ccccc1-n1cccn1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1ccccc1-n1cccn1', 'Brc1cnc2[nH]ncc2c1', 'OB(O)c1ccccc1-n1cccn1']; [0.9999970197677612, 0.9999966621398926, 0.9999962449073792, 0.9999589920043945, 0.9999508857727051, 0.9999160766601562, 0.9990442395210266, 0.998904824256897]
+CNS(=O)(=O)c1ccc(-c2cnc3[nH]ncc3c2)c(C)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'Brc1cnc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'Brc1cnc2[nH]ncc2c1']; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'Clc1cnc2[nH]ncc2c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; [0.999997079372406, 0.9999858140945435, 0.9999804496765137, 0.9999638795852661, 0.9999017715454102, 0.9998719692230225, 0.9994326829910278, 0.9993681311607361, 0.9896271228790283]
+c1ccc2c(-c3cnc4[nH]ncc4c3)c[nH]c2c1; ['Brc1c[nH]c2ccccc12', 'Brc1cnc2[nH]ncc2c1', 'Clc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9998332262039185, 0.9995598793029785, 0.9914408922195435, 0.9914028644561768, 0.9889573454856873, 0.9560384154319763, 0.9258230924606323, 0.9193205833435059]
+c1cc2c(cc1-c1cnc3[nH]ncc3c1)CCO2; ['Brc1ccc2c(c1)CCO2', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'Ic1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Clc1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Clc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'OB(O)c1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; [0.9999942779541016, 0.9999915957450867, 0.999987006187439, 0.9999681711196899, 0.9999593496322632, 0.999954342842102, 0.9999532699584961, 0.9998999834060669, 0.9998778700828552, 0.9998327493667603, 0.9997431039810181, 0.9988992214202881, 0.9936394691467285]
+COc1cc(OC)c(-c2cnc3[nH]ncc3c2)cc1Cl; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(OC)c(Br)cc1Cl']; ['COc1cc(OC)c(Br)cc1Cl', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9998759031295776, 0.9987996816635132]
+c1ccc(-c2cc(-c3cnc4[nH]ncc4c3)n[nH]2)cc1; [None]; [None]; [0]
+c1cc2c(c(-c3cnc4[nH]ncc4c3)c1)OCO2; ['Brc1cnc2[nH]ncc2c1', 'Brc1cccc2c1OCO2', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cccc2c1OCO2', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Brc1cccc2c1OCO2']; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cccc2c1OCO2', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Brc1cnc2[nH]ncc2c1']; [0.9999780058860779, 0.9999749660491943, 0.9999486207962036, 0.9998806715011597, 0.9998800754547119, 0.9996479749679565, 0.9980102777481079, 0.9970737099647522, 0.991301417350769, 0.9648309350013733]
+COc1cc(-c2cnc3[nH]ncc3c2)ccc1O; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'Brc1cnc2[nH]ncc2c1', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'Brc1cnc2[nH]ncc2c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1cc(B(O)O)ccc1O', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1cc(Br)ccc1O']; [0.9999885559082031, 0.9999281167984009, 0.9998563528060913, 0.9997849464416504, 0.9991649985313416, 0.9986633062362671, 0.9964559078216553, 0.9964317083358765, 0.9912537932395935, 0.887425422668457]
+c1ccc2ncc(-c3cnc4[nH]ncc4c3)cc2c1; ['Brc1cnc2[nH]ncc2c1', 'Brc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cnc2[nH]ncc2c1', 'Clc1cnc2ccccc2c1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999276399612427, 0.9999276399612427, 0.9983789324760437, 0.9983789324760437, 0.9922296404838562, 0.9922296404838562, 0.9903399348258972, 0.9903399348258972]
+c1nc2[nH]ncc2cc1-c1scc2c1OCCO2; ['CC1(C)OB(c2scc3c2OCCO3)OC1(C)C', 'Brc1cnc2[nH]ncc2c1']; ['Ic1cnc2[nH]ncc2c1', 'c1scc2c1OCCO2']; [0.9999028444290161, 0.9997375011444092]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CN(C)C(=O)c1ccc(Cl)cc1', 'Brc1cnc2[nH]ncc2c1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CN(C)C(=O)c1ccc(Cl)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'CN(C)C(=O)c1ccc(Br)cc1']; [0.9999997019767761, 0.9999980926513672, 0.9999958872795105, 0.9999905228614807, 0.9999900460243225, 0.9999843835830688, 0.9999741315841675, 0.9998424053192139, 0.9998066425323486, 0.999017596244812, 0.9962257742881775, 0.9530185461044312]
+CC(C)(C)c1ccc(-c2cnc3[nH]ncc3c2)cn1; ['Brc1cnc2[nH]ncc2c1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'Brc1cnc2[nH]ncc2c1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'Brc1cnc2[nH]ncc2c1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC(C)(C)c1ccc(Br)cn1']; [0.9999892711639404, 0.9999504685401917, 0.9999297857284546, 0.9998769760131836, 0.9995228052139282, 0.9991655349731445, 0.9913018941879272, 0.9419106245040894]
+COc1cccc(C(=O)Nc2cnc3[nH]ncc3c2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COC(=O)c1cccc(OC)c1', 'COc1cccc(C=O)c1', 'COc1cccc(C(=O)Cl)c1']; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'O=[N+]([O-])c1cnc2[nH]ncc2c1']; [0.9999951124191284, 0.9999582171440125, 0.9992932081222534, 0.998805046081543, 0.9937737584114075]
+CC1(COc2cnc3[nH]ncc3c2)COC1; ['CC1(CO)COC1', 'CC1(CO)COC1', 'Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1', 'CC1(CBr)COC1', 'CC1(CI)COC1', 'Brc1cnc2[nH]ncc2c1', 'CC1(CO)COC1', 'CC1(CCl)COC1', 'CC1(CO)COC1']; ['Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1', 'CC1(CO)COC1', 'Oc1cnc2[nH]ncc2c1', 'Oc1cnc2[nH]ncc2c1', 'O=[N+]([O-])c1cnc2[nH]ncc2c1']; [0.9992388486862183, 0.9990766048431396, 0.9970972537994385, 0.9947041273117065, 0.9914942979812622, 0.9869903326034546, 0.9573383331298828, 0.9406301975250244, 0.8617277145385742]
+c1ccc2sc(-c3cnc4[nH]ncc4c3)cc2c1; ['Brc1cc2ccccc2s1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cc2ccccc2s1', 'Ic1cc2ccccc2s1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cc2ccccc2s1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cc2ccccc2s1', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'OB(O)c1cc2ccccc2s1', 'Ic1cnc2[nH]ncc2c1', 'c1ccc2sccc2c1']; [0.9999808669090271, 0.9999299645423889, 0.9998838901519775, 0.9998360872268677, 0.9994450807571411, 0.9993109107017517, 0.9988940954208374, 0.9958836436271667, 0.9955273866653442]
+CSc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CSc1ccc(I)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CSc1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CSc1ccc(Cl)cc1', 'CSc1ccc(Br)cc1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CSc1ccc(I)cc1', 'Ic1cnc2[nH]ncc2c1', 'CSc1ccc(Br)cc1', 'CSc1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CSc1ccc(Cl)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1']; [0.9999921917915344, 0.9999094009399414, 0.9998672604560852, 0.9998613595962524, 0.9998021125793457, 0.999683141708374, 0.9996017217636108, 0.9993105530738831, 0.9991565942764282, 0.9967306852340698, 0.9964542984962463, 0.9858607053756714, 0.8675135374069214]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cnc4[nH]ncc4c3)nc2c1F; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3cnc4[nH]ncc4c3)n2)c1; [None]; [None]; [0]
+Fc1ccc(-c2cnc3[nH]ncc3c2)c(Cl)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Fc1ccc(Br)c(Cl)c1', 'Brc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Fc1ccc(I)c(Cl)c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Fc1ccc(Cl)c(Cl)c1']; ['Fc1ccc(Br)c(Cl)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(I)c(Cl)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999879598617554, 0.9999725818634033, 0.9999527931213379, 0.9999051094055176, 0.9998732209205627, 0.9998558759689331, 0.9996795058250427, 0.9993480443954468, 0.9992605447769165, 0.9943631887435913, 0.9908604621887207, 0.9776819944381714, 0.9762300848960876]
+Cc1cc(-c2cnc3[nH]ncc3c2)nc(N)n1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cc1cc(Cl)nc(N)n1']; ['Cc1cc(Br)nc(N)n1', 'Cc1cc(Cl)nc(N)n1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999707341194153, 0.9999192953109741, 0.9996199607849121]
+CCN1CCN(Cc2ccc(-c3cnc4[nH]ncc4c3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'Brc1cnc2[nH]ncc2c1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1']; ['Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; [0.9999721050262451, 0.9999213218688965, 0.9998814463615417, 0.9998267889022827, 0.9997737407684326, 0.909390926361084]
+Brc1cnc(-c2cnc3[nH]ncc3c2)nc1; ['Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc(Br)nc1', 'Brc1cncnc1']; ['OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1ncc(Br)cn1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9984737634658813, 0.9979175925254822, 0.9971437454223633, 0.996574342250824, 0.9915541410446167, 0.8620786070823669]
+COc1ccc(-c2cnc3[nH]ncc3c2)cc1OC; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'COc1ccc(Cl)cc1OC']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Cl)cc1OC', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999970197677612, 0.9999861717224121, 0.9999780654907227, 0.9999707937240601, 0.9999700784683228, 0.9999027252197266, 0.9997949600219727, 0.9996917247772217, 0.9996743202209473, 0.9994641542434692, 0.999293327331543, 0.9987480044364929, 0.9982475638389587, 0.9810466170310974, 0.9739376306533813]
+O=C1CCc2cc(-c3cnc4[nH]ncc4c3)ccc2N1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'O=C1CCc2cc(Cl)ccc2N1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(Br)ccc2N1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=C1CCc2cc(I)ccc2N1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'O=C1CCc2cc(Cl)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'OB(O)c1cnc2[nH]ncc2c1', 'O=C1CCc2cc(Br)ccc2N1']; [0.999993622303009, 0.9999852180480957, 0.9999761581420898, 0.9999701976776123, 0.99992835521698, 0.9998375177383423, 0.9998308420181274, 0.9997316002845764, 0.9993936419487, 0.9993829131126404, 0.9990888237953186, 0.9913097023963928]
+COc1ccc(CNc2cnc3[nH]ncc3c2)cc1; ['COc1ccc(CBr)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1', 'Brc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'COc1ccc(CN)cc1']; [0.9995619058609009, 0.99878990650177, 0.9986457228660583, 0.9985606074333191, 0.9976365566253662, 0.9891106486320496, 0.9785830974578857, 0.8554546236991882]
+CCc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(I)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCc1ccc(B(O)O)cc1', 'Brc1cnc2[nH]ncc2c1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1', 'Ic1cnc2[nH]ncc2c1', 'CCc1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CCc1ccc(I)cc1']; [0.9999949932098389, 0.9999607801437378, 0.9999604225158691, 0.9999547004699707, 0.9999465346336365, 0.9999219179153442, 0.9998180270195007, 0.9996774792671204, 0.9996504783630371, 0.9992421865463257, 0.9865081310272217, 0.9846298694610596]
+Clc1ccc(-c2cnc3[nH]ncc3c2)c(Cl)c1; ['Brc1cnc2[nH]ncc2c1', 'Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'Clc1ccc(Cl)c(Cl)c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cccc(Cl)c1']; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1ccc(Br)c(Cl)c1', 'Ic1cnc2[nH]ncc2c1']; [0.9999326467514038, 0.9999143481254578, 0.9998852610588074, 0.9998838901519775, 0.9998489618301392, 0.9995003938674927, 0.9994084239006042, 0.9993003010749817, 0.9970312118530273, 0.9818177819252014, 0.8976199626922607, 0.7608402967453003]
+COc1cc(-c2cnc3[nH]ncc3c2)ccc1N1CCOCC1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['COc1cc(Br)ccc1N1CCOCC1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; [0.9999985694885254, 0.9999969601631165, 0.9999881982803345, 0.9999871850013733, 0.999975323677063, 0.9977986812591553]
+c1cc2cnc(-c3cnc4[nH]ncc4c3)nn2c1; ['Clc1ncc2cccn2n1']; ['OB(O)c1cnc2[nH]ncc2c1']; [0.999881386756897]
 O=C(C1CC1)N1CC(Nc2cnc3[nH]ncc3c2)C1; [None]; [None]; [0]
-Nc1cc(-c2cnc3[nH]ncc3c2)c2cc[nH]c2n1; [None]; [None]; [0]
+c1ccn2nc(-c3cnc4[nH]ncc4c3)cc2c1; ['Brc1cc2ccccn2n1', 'Brc1cc2ccccn2n1', 'Clc1cc2ccccn2n1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999598860740662, 0.9990615844726562, 0.9989429712295532]
+Cn1cc(-c2cnc3[nH]ncc3c2)c(C(F)(F)F)n1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Brc1cnc2[nH]ncc2c1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; [0.9999924898147583, 0.9999877214431763, 0.999985933303833, 0.9999831914901733, 0.9999810457229614, 0.9999396800994873, 0.9999366998672485, 0.9994619488716125, 0.9608420133590698]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cnc4[nH]ncc4c3)c2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1ccc2cccc(Br)c2c1', 'Brc1cnc2[nH]ncc2c1']; ['COc1ccc2cccc(Br)c2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1ccc2cccc(Br)c2c1']; [0.9999911785125732, 0.9999418258666992, 0.9907695651054382]
+Oc1ccc2cccc(-c3cnc4[nH]ncc4c3)c2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Brc1cnc2[nH]ncc2c1']; ['Oc1ccc2cccc(I)c2c1', 'Oc1ccc2cccc(Br)c2c1', 'Oc1ccc2cccc(I)c2c1', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Oc1ccc2cccc(Br)c2c1', 'Ic1cnc2[nH]ncc2c1', 'Oc1ccc2cccc(Br)c2c1']; [0.9999544620513916, 0.9999405145645142, 0.9998447895050049, 0.9997913241386414, 0.9991276264190674, 0.9986392259597778, 0.8110983371734619]
+COc1cc(-c2cnc3[nH]ncc3c2)ccc1Cl; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'Brc1cnc2[nH]ncc2c1', 'COc1cc(Cl)ccc1Cl']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'Clc1cnc2[nH]ncc2c1', 'COc1cc(Br)ccc1Cl', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999995231628418, 0.9999994039535522, 0.9999983906745911, 0.9999964237213135, 0.9999887943267822, 0.999984860420227, 0.9999826550483704, 0.9999762773513794, 0.9999681115150452, 0.9999672174453735, 0.9999659061431885, 0.9997968673706055, 0.9990056157112122, 0.9985539317131042, 0.944266676902771]
+COc1cc(F)c(-c2cnc3[nH]ncc3c2)cc1OC; ['Brc1cnc2[nH]ncc2c1', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(F)c(B(O)O)cc1OC', 'Brc1cnc2[nH]ncc2c1', 'COc1cc(F)c(Br)cc1OC', 'Brc1cnc2[nH]ncc2c1']; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'COc1cc(F)c(Br)cc1OC', 'Clc1cnc2[nH]ncc2c1', 'COc1cc(F)c(B(O)O)cc1OC', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1cc(F)c(Br)cc1OC']; [0.9999632835388184, 0.9998992085456848, 0.999825119972229, 0.9996942281723022, 0.999692440032959, 0.999527633190155, 0.999466061592102, 0.9982086420059204, 0.8410083055496216]
+Clc1cnc(-c2cnc3[nH]ncc3c2)nc1; ['Clc1cnc(I)nc1', 'Clc1cnc(Br)nc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Clc1cnc(Cl)nc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CSc1ncc(Cl)cn1']; ['OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc(Cl)nc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc(Br)nc1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9998823404312134, 0.9997051954269409, 0.9995510578155518, 0.9994087219238281, 0.9991434812545776, 0.9907889366149902]
+CC1(C)Cc2cc(-c3cnc4[nH]ncc4c3)ccc2O1; [None]; [None]; [0]
+Cc1cc(Nc2cnc3[nH]ncc3c2)nn1C; ['Cc1cc(Br)nn1C', 'Cc1cc(N)nn1C', 'Cc1cc(N)nn1C', 'Cc1cc(Cl)nn1C', 'Brc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Cc1cc(N)nn1C']; [0.9999156594276428, 0.9997344017028809, 0.9993596076965332, 0.9988996982574463, 0.9938181638717651]
+Cc1nc(Nc2cnc3[nH]ncc3c2)sc1C; [None]; [None]; [0]
+Nc1cc(-c2cnc3[nH]ncc3c2)c2cc[nH]c2n1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Cl)c2cc[nH]c2n1', 'Brc1cnc2[nH]ncc2c1']; ['Nc1cc(Br)c2cc[nH]c2n1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1cc(Br)c2cc[nH]c2n1']; [0.9999956488609314, 0.9999715685844421, 0.9992902278900146, 0.9355181455612183]
+CNC(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'Brc1cnc2[nH]ncc2c1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Cl)cc1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2[nH]ncc2c1', 'CNC(=O)c1ccc(Br)cc1', 'Clc1cnc2[nH]ncc2c1', 'CNC(=O)c1ccc(I)cc1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CNC(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ncc2c1', 'CNC(=O)c1ccc(Cl)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999989867210388, 0.9999909996986389, 0.9999865889549255, 0.9999850988388062, 0.9999823570251465, 0.9999788999557495, 0.9999469518661499, 0.9999371767044067, 0.999852180480957, 0.9998413920402527, 0.998647928237915, 0.9963871836662292]
+O=C(Nc1cnc2[nH]ncc2c1)c1ccco1; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1', 'NC(=O)c1ccco1']; [0.9996169805526733, 0.9988337159156799, 0.8654114007949829]
+CCNC(=O)c1ccc(-c2cnc3[nH]ncc3c2)nc1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc(Cl)nc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C']; ['CCNC(=O)c1ccc(Br)nc1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCNC(=O)c1ccc(Cl)nc1']; [0.9999969005584717, 0.9999915361404419, 0.9995256662368774, 0.9980052709579468]
+COc1cc(-c2cnc3[nH]ncc3c2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; [0.9999684691429138, 0.9998944997787476, 0.9959794282913208, 0.9955776929855347, 0.9923101663589478, 0.9889523983001709, 0.9491567611694336, 0.8321622610092163]
+Cc1csc2c(-c3cnc4[nH]ncc4c3)ncnc12; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnc3[nH]ncc3c2)c1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(OC)cc(B(O)O)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1cnc2[nH]ncc2c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Br)cc(OC)c1', 'Ic1cnc2[nH]ncc2c1', 'COc1cc(I)cc(OC)c1', 'Ic1cnc2[nH]ncc2c1', 'COc1cc(OC)cc(B(O)O)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1']; [0.9999586343765259, 0.9999231100082397, 0.999798595905304, 0.9997426271438599, 0.9997371435165405, 0.999472439289093, 0.9993329644203186, 0.9990120530128479, 0.9987378120422363, 0.9987272024154663, 0.9985857605934143, 0.9974486827850342, 0.9426742196083069]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cnc3[nH]ncc3c1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
+COc1ccc2oc(-c3cnc4[nH]ncc4c3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1', 'Brc1cnc2[nH]ncc2c1']; ['Clc1cnc2[nH]ncc2c1', 'COc1ccc2oc(B(O)O)cc2c1']; [0.9999357461929321, 0.9998811483383179]
+c1cc2cn[nH]c2cc1-c1cnc2[nH]ncc2c1; ['Brc1cnc2[nH]ncc2c1', 'Brc1ccc2cn[nH]c2c1', 'Ic1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Ic1ccc2cn[nH]c2c1', 'Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Clc1cnc2[nH]ncc2c1', 'Brc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'Brc1cnc2[nH]ncc2c1', 'Clc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1', 'Ic1ccc2cn[nH]c2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Ic1ccc2cn[nH]c2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; [0.9999966025352478, 0.999989926815033, 0.9999794363975525, 0.9999752640724182, 0.9999721646308899, 0.9999516010284424, 0.9998985528945923, 0.9998977780342102, 0.999830424785614, 0.9998133182525635, 0.9992979764938354, 0.9988341927528381, 0.9970945119857788, 0.98020339012146, 0.9341075420379639]
+NC(=O)c1ccc(Cc2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cnc3[nH]ncc3c2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1', 'CCOC(=O)c1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'Brc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'O=[N+]([O-])c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'CC(C)(C)c1ccc(C(N)=O)cc1']; [0.9999880790710449, 0.9999582171440125, 0.9998452663421631, 0.9998103380203247, 0.9976977109909058, 0.9955540895462036, 0.9955188035964966, 0.9946972131729126]
+CO[C@@H]1CC[C@@H](c2cnc3[nH]ncc3c2)CC1; [None]; [None]; [0]
+c1cc2nc(-c3cnc4[nH]ncc4c3)ncc2s1; ['Clc1ncc2sccc2n1', 'Ic1cnc2[nH]ncc2c1']; ['OB(O)c1cnc2[nH]ncc2c1', 'c1ncc2sccc2n1']; [0.9995660781860352, 0.9956696033477783]
+c1ccc2oc(-c3cnc4[nH]ncc4c3)cc2c1; ['Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; ['OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1']; [0.9996181726455688, 0.9995102882385254]
+CC(C)c1nn(C)cc1-c1cnc2[nH]ncc2c1; ['CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br', 'Brc1cnc2[nH]ncc2c1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; [0.999991774559021, 0.9999802112579346, 0.9999390244483948, 0.9999061226844788, 0.9997246265411377, 0.9996554255485535, 0.9996364116668701]
+COc1ccc2nc(-c3cnc4[nH]ncc4c3)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c([N+](=O)[O-])c1', 'COc1ccc(N)c(N)c1']; ['O=Cc1cnc2[nH]ncc2c1', 'O=Cc1cnc2[nH]ncc2c1', 'O=C(O)c1cnc2[nH]ncc2c1']; [0.9989681243896484, 0.9862990975379944, 0.928249716758728]
+CNC(=O)c1ccc(OC)c(-c2cnc3[nH]ncc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['CNC(=O)c1ccc(OC)c(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999695420265198, 0.999417245388031]
+O=C(Nc1cccc(-c2cnc3[nH]ncc3c2)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cnc3[nH]ncc3c2)c1; ['COc1ccc(F)c(C(=O)O)c1', 'COC(=O)c1cc(OC)ccc1F', 'COc1ccc(F)c(C=O)c1', 'COc1ccc(F)c(C(N)=O)c1', 'Brc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'COc1ccc(F)c(C(N)=O)c1']; [0.9996196031570435, 0.9980119466781616, 0.9976888298988342, 0.9956060647964478, 0.9748103618621826]
+C[NH+](C)Cc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['Brc1cnc2[nH]ncc2c1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'Clc1cnc2[nH]ncc2c1', 'FC(F)(F)Oc1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1']; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; [1.0, 0.9999997615814209, 0.9999990463256836, 0.9999966621398926, 0.9999966025352478, 0.9999963045120239, 0.999994158744812, 0.9999545812606812, 0.9998956918716431, 0.999871015548706, 0.9998559951782227, 0.994831919670105]
+c1cncc(-c2ccnc(-c3cnc4[nH]ncc4c3)c2)c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+CCc1cccc(-c2cnc3[nH]ncc3c2)n1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCc1cccc(Br)n1', 'Brc1cnc2[nH]ncc2c1']; ['CCc1cccc(Br)n1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCc1cccc(Br)n1']; [0.9999804496765137, 0.9995900988578796, 0.9019955396652222]
 c1nc2[nH]ncc2cc1-c1ncn2c1CCCC2; [None]; [None]; [0]
+Cc1cc(-c2cnc3[nH]ncc3c2)cc(C)c1OCCO; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc3[nH]ncc3c2)cn1; ['Brc1cnc2[nH]ncc2c1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'Brc1cnc2[nH]ncc2c1', 'CN(C)c1ccc(Cl)cn1', 'CN(C)c1ccc(Br)cn1', 'Brc1cnc2[nH]ncc2c1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CN(C)c1ccc(I)cn1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'CN(C)c1ccc(Br)cn1']; [0.9999915361404419, 0.9999716281890869, 0.9999604225158691, 0.999956488609314, 0.9999351501464844, 0.999740719795227, 0.9996880888938904, 0.999444305896759, 0.9971438646316528, 0.9884122610092163, 0.9878935813903809, 0.9867547154426575, 0.7770582437515259]
+Cc1n[nH]c2cc(-c3cnc4[nH]ncc4c3)ccc12; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'Brc1cnc2[nH]ncc2c1', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Brc1cnc2[nH]ncc2c1']; ['Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Cc1n[nH]c2cc(Br)ccc12']; [1.0, 0.9999997615814209, 0.9999984502792358, 0.999997615814209, 0.9999968409538269, 0.9999959468841553, 0.9999942183494568, 0.9999823570251465, 0.9999406933784485, 0.9988785982131958]
 CC(C)(O)c1ccc2cc(-c3cnc4[nH]ncc4c3)[nH]c2c1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cnc4[nH]ncc4c3)cn2)CC1; ['Brc1cnc2[nH]ncc2c1']; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; [0.999996542930603]
+O=C(Nc1cnc2[nH]ncc2c1)c1cccc(OC(F)(F)F)c1; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'O=C(Cl)c1cccc(OC(F)(F)F)c1', 'Nc1cnc2[nH]ncc2c1', 'COC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'O=[N+]([O-])c1cnc2[nH]ncc2c1', 'O=Cc1cccc(OC(F)(F)F)c1', 'Nc1cnc2[nH]ncc2c1']; [0.9999988675117493, 0.9999721646308899, 0.9998209476470947, 0.999457836151123, 0.9978611469268799]
 Cn1nc(Cl)c2cc(-c3cnc4[nH]ncc4c3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cnc4[nH]ncc4c3)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1cnc2[nH]ncc2c1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cnc4[nH]ncc4c3)cc2)n1C; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+OCCc1ccc(-c2cnc3[nH]ncc3c2)cc1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cnc2[nH]ncc2c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'COc1cc(S(C)(=O)=O)ccc1Br', 'Brc1cnc2[nH]ncc2c1']; ['COc1cc(S(C)(=O)=O)ccc1Br', 'OB(O)c1cnc2[nH]ncc2c1', 'COc1cc(S(C)(=O)=O)ccc1Br']; [0.999967098236084, 0.999633252620697, 0.971554160118103]
 COc1cc(-c2cnn(C)c2)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
-Cc1cc(Nc2cnc3[nH]ncc3c2)ncc1F; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3cnc4[nH]ncc4c3)cc2)n1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc3[nH]ncc3c2)c(OC)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['CNC(=O)c1ccc(Br)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Clc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999550580978394, 0.99993896484375, 0.9996941089630127, 0.9996483325958252, 0.9992634654045105]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]ncc3c2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
+Cc1cc(Nc2cnc3[nH]ncc3c2)ncc1F; ['Cc1cc(Br)ncc1F', 'Cc1cc(Cl)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F', 'Brc1cnc2[nH]ncc2c1', 'Cc1cc(N)ncc1F']; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Cc1cc(N)ncc1F', 'Fc1cnc2[nH]ncc2c1']; [0.9998693466186523, 0.9995647072792053, 0.9939112663269043, 0.9909531474113464, 0.9889212846755981, 0.8077112436294556]
+CCNC(=O)c1ccc(-c2cnc3[nH]ncc3c2)cc1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCNC(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2[nH]ncc2c1', 'CCNC(=O)c1ccc(I)cc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['CCNC(=O)c1ccc(Br)cc1', 'Ic1cnc2[nH]ncc2c1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCNC(=O)c1ccc(I)cc1', 'Clc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1']; [0.9999926090240479, 0.9999894499778748, 0.9999852180480957, 0.9999706149101257, 0.9999677538871765, 0.9999457001686096, 0.9996050596237183]
+Fc1ccc(Nc2cnc3[nH]ncc3c2)nc1; ['Fc1ccc(Br)nc1', 'Fc1ccc(Cl)nc1', 'Nc1ccc(F)cn1', 'Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Fc1ccc(F)nc1', 'Brc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1cnc2[nH]ncc2c1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1']; [0.9995975494384766, 0.9991035461425781, 0.9965604543685913, 0.9949102401733398, 0.9836183786392212, 0.9792864322662354, 0.9660488367080688, 0.9535899758338928]
+c1ccc(Nc2cnc3[nH]ncc3c2)nc1; ['Brc1ccccn1', 'Nc1ccccn1', 'Clc1ccccn1', 'Fc1ccccn1', 'Brc1cnc2[nH]ncc2c1', 'Ic1cnc2[nH]ncc2c1', 'Fc1cnc2[nH]ncc2c1', 'Clc1cnc2[nH]ncc2c1']; ['Nc1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1cnc2[nH]ncc2c1', 'Nc1ccccn1', 'Nc1ccccn1', 'Nc1ccccn1', 'Nc1ccccn1']; [0.9995285272598267, 0.9986841082572937, 0.9970089197158813, 0.9839717149734497, 0.9815149307250977, 0.978805422782898, 0.9461686611175537, 0.879906177520752]
+CCNC(=O)Cc1ccc(-c2cnc3[nH]ncc3c2)cc1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CCNC(=O)Cc1ccc(Br)cc1', 'Brc1cnc2[nH]ncc2c1']; ['CCNC(=O)Cc1ccc(Br)cc1', 'OB(O)c1cnc2[nH]ncc2c1', 'CCNC(=O)Cc1ccc(Br)cc1']; [0.9999947547912598, 0.9998236894607544, 0.9682797193527222]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]ncc3c2)nc1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CN(C)C(=O)c1ccc(Br)nc1', 'CN(C)C(=O)c1ccc(Cl)nc1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1']; ['CN(C)C(=O)c1ccc(Br)nc1', 'OB(O)c1cnc2[nH]ncc2c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; [0.999996542930603, 0.999983549118042, 0.9999655485153198, 0.9999294281005859, 0.987511396408081]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnc3[nH]ncc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CC1(C)OB(c2cnc3[nH]ncc3c2)OC1(C)C', 'Brc1cnc2[nH]ncc2c1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'OB(O)c1cnc2[nH]ncc2c1', 'CS(=O)(=O)c1ccc(Cl)c(Cl)c1', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1']; [0.9999966621398926, 0.9999445676803589, 0.9992388486862183, 0.8892751932144165]
 Cn1nc(-c2cnc3[nH]ncc3c2)cc1C(C)(C)O; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 CCOc1ccccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-COC(C)(C)CCc1ccc(NC(N)=O)s1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2ccc(NC(N)=O)s2)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cnc3[nH]ncc3c2)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(Cc2cc(F)cc(F)c2)s1; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccnc3ccccc23)s1; [None]; [None]; [0]
+CCn1cc(-c2ccc(NC(N)=O)s2)cn1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc(C(F)(F)F)c2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccccc2Br)s1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cnc2[nH]ncc2c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccccc2OC(F)(F)F)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccccc2C(=O)[O-])s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccccc2C(N)=O)s1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc(NC(N)=O)s2)[nH]1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cnn(Cc3ccccc3)c2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnc(-c3ccccc3)[nH]2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc([C@@H](N)c2ccco2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccccc2C(N)=O)s1; [None]; [None]; [0]
+COC(C)(C)CCc1ccc(NC(N)=O)s1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccccc2C(=O)[O-])s1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc(NC(N)=O)s3)cc2c1=O; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(NC(=O)c3ccccc3)c2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cnn(CCO)c2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnc(-c3ccccc3)[nH]2)s1; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2ccc(NC(N)=O)s2)cs1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccc(NC(=O)c3ccccc3)c2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc(Cl)ccc2Cl)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-n2ncc3cccc(F)c3c2=O)s1; [None]; [None]; [0]
 COc1cnc(-c2ccc(NC(N)=O)s2)nc1; [None]; [None]; [0]
-CC(C)C(=O)COc1ccc(NC(N)=O)s1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 Cc1ccc(-c2ccc(NC(N)=O)s2)c(Br)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cnc3ccccn23)s1; [None]; [None]; [0]
+CC(C)C(=O)COc1ccc(NC(N)=O)s1; [None]; [None]; [0]
 Cc1nc(C)c(-c2ccc(NC(N)=O)s2)s1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 CNc1nc(C)c(-c2ccc(NC(N)=O)s2)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnc3cccnn23)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2c(Cl)cccc2Cl)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccc(Cn3cncn3)c2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(Br)c2)s1; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(Cn3cncn3)c2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc3ccccc3c2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnc3cccnn23)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-n2cnc3ccccc32)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(NCc2cccnc2)s1; [None]; [None]; [0]
 Cc1c(-c2ccc(NC(N)=O)s2)sc(=O)n1C; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccnc(N)n2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(NC(=O)c2cccs2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cnn3ncccc23)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc3ccccc3c2)s1; [None]; [None]; [0]
-COc1cccc(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(Nc2cccnc2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-n2cnc3ccccc32)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(NCCc2c[nH]cn2)s1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc(NC(N)=O)s2)o1; [None]; [None]; [0]
-NC(=O)Nc1ccc(NC(=O)c2cccs2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccc(CC(=O)[O-])c2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cncc3ccccc23)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(NCCc2ccccc2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(NCCc2c[nH]cn2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccnc(N)n2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(F)c2C(N)=O)s1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3ccc(NC(N)=O)s3)cc2)cn1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(CC(=O)[O-])c2)s1; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc(NC(N)=O)s3)ccc21; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2c[nH]nc2C(F)(F)F)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc3c(N)[nH]nc3c2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(NCCc2ccccc2)s1; [None]; [None]; [0]
 CN1c2ccc(-c3ccc(NC(N)=O)s3)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3ccc(NC(N)=O)s3)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2ccc(NC(N)=O)s2)n1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc(O)c2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc(CO)c2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Nc2ccncc2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(-c3cn[nH]c3)cc2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(NCc2ccc(Cl)cc2)s1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(NC(N)=O)s2)n1; [None]; [None]; [0]
 COc1cc(-c2ccc(NC(N)=O)s2)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)n1cc(-c2ccc(NC(N)=O)s2)nn1; [None]; [None]; [0]
+NC(=O)Nc1ccc(NCc2ccccc2F)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Nc2ccncc2)s1; [None]; [None]; [0]
 CSc1nc(-c2ccc(NC(N)=O)s2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(CCc2c[nH]nn2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2csc3ncncc23)s1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 N#CCCc1cccc(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3ccc(NC(N)=O)s3)cc2s1; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc3ccccc3[nH]2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(CCc2c[nH]nn2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Oc2ccccn2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc(F)cc2C(F)(F)F)s1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ccc(NC(N)=O)s1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cncnc2N)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2csc(N)n2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(NC(=O)c2c(Cl)cccc2Cl)s1; [None]; [None]; [0]
-Cn1cc(-c2ccc(NC(N)=O)s2)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2ccc(NC(N)=O)s2)CC1; [None]; [None]; [0]
-CC(C)(COc1ccc(NC(N)=O)s1)S(C)(=O)=O; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc(NC(N)=O)s3)cc2s1; [None]; [None]; [0]
+NC(=O)CCCc1ccc(NC(N)=O)s1; [None]; [None]; [0]
 COc1ccc(-c2ccc(NC(N)=O)s2)cc1Cl; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ccc(NC(N)=O)s1; [None]; [None]; [0]
+Cn1cc(-c2ccc(NC(N)=O)s2)c2ccccc21; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cnn3ccccc23)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)s1; [None]; [None]; [0]
 CCCn1cc(-c2ccc(NC(N)=O)s2)cn1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ccc(NC(N)=O)s2)CC1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cc[nH]c(=O)c2)s1; [None]; [None]; [0]
-COc1cc(CCc2ccc(NC(N)=O)s2)cc(OC)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc3c2C(=O)CC3)s1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
-C[C@@H](Oc1ccc(NC(N)=O)s1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)(COc1ccc(NC(N)=O)s1)S(C)(=O)=O; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 CCN(CC)c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)s1; [None]; [None]; [0]
+C[C@@H](Oc1ccc(NC(N)=O)s1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc(NC(N)=O)s2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cc3c(=O)[nH]ccc3o2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc3c(=O)[nH]cc(Br)c3s2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2c[nH]c3ccccc23)s1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2c[nH]c3cnccc23)s1; [None]; [None]; [0]
 COc1ccncc1Nc1ccc(NC(N)=O)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc3c(=O)[nH]cc(Br)c3s2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(Nc2cnccc2-c2ccccc2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Nc2cnc3ccccc3c2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2c[nH]c3cnccc23)s1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc([C@H](CO)Cc2ccccc2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cnc3[nH]ccc3c2)s1; [None]; [None]; [0]
-CC1(c2ccc(NC(N)=O)s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CN(c1ccc(NC(N)=O)s1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc(N3CCOCC3)cc2)s1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc(NC(N)=O)s2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Nc2cnc3ccccc3c2)s1; [None]; [None]; [0]
+CC1(c2ccc(NC(N)=O)s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CN(c1ccc(NC(N)=O)s1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2c(F)cccc2Cl)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-n2ncc3ccccc32)s1; [None]; [None]; [0]
 C[C@H](Nc1ccc(NC(N)=O)s1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-NC(=O)Nc1ccc(-n2cnc(CCO)c2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-n2ccc(CO)n2)s1; [None]; [None]; [0]
+Cc1cc(-c2ccc(NC(N)=O)s2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1ccc(NC(N)=O)s1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1ccc(NC(N)=O)s1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccc(F)c2C(N)=O)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-n2ncc3ccccc32)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-n2ncc3c(O)cccc32)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccnc2O)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(-n3cncn3)cc2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2nc3ccc(O)cc3[nH]2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-n2ccc(CO)n2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-n2cnc(CCO)c2)s1; [None]; [None]; [0]
 CSc1nc(C)c(-c2ccc(NC(N)=O)s2)[nH]1; [None]; [None]; [0]
 COc1ccc(-c2ccc(NC(N)=O)s2)c(OC)c1; [None]; [None]; [0]
+C[C@@H](Nc1ccc(NC(N)=O)s1)C(C)(C)O; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc(C(=O)c3ccccc3)cc2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(-n3cncn3)cc2)s1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-n2ncc3c(O)cccc32)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2nc3ccc(O)cc3[nH]2)s1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc(NC(N)=O)s2)CC1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2nncn2C2CC2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccn(CC[NH3+])n2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(Cc2nnc3ccc(-c4ccccc4)nn23)s1; [None]; [None]; [0]
@@ -53219,637 +15574,863 @@ NC(=O)Nc1ccc(CS(=O)(=O)NCc2ccccn2)s1; [None]; [None]; [0]
 CCc1cc(-c2ccc(NC(N)=O)s2)nc(N)n1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cn(Cc3ccccc3)nn2)s1; [None]; [None]; [0]
 CCCCc1cc(-c2ccc(NC(N)=O)s2)nc(N)n1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnc(N)s2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2nnc(N)s2)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc(NC(N)=O)s2)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ccc(NC(N)=O)s2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Oc2ccc(C[NH3+])cc2F)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2nc3ccccc3s2)s1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3ccc(NC(N)=O)s3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(NC(N)=O)s3)c2)cc1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc3ccsc23)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc3nnsc23)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc(NC(N)=O)s2)CC1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Oc2ccc(C[NH3+])cc2F)s1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3ccc(NC(N)=O)s3)nc2NC1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(NC(N)=O)s3)c2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cncc(N)n2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2c[nH]c3cccnc23)s1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2ccc(NC(N)=O)s2)[nH]1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2nc(N)c3ccccc3n2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ncc3ccccc3n2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2c[nH]c3cccnc23)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ncc3cc[nH]c3n2)s1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1ccc(NC(N)=O)s1; [None]; [None]; [0]
-COc1ccc(Oc2ccc(NC(N)=O)s2)c(F)c1F; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cn(CCO)cn2)s1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2ccc(NC(N)=O)s2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc(NC(N)=O)s2)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2ccc(NC(N)=O)s2)cnn1; [None]; [None]; [0]
-NC(=O)Nc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)s1; [None]; [None]; [0]
+COc1ccc(Oc2ccc(NC(N)=O)s2)c(F)c1F; [None]; [None]; [0]
+COc1ncccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(N2CC=C(c3c[nH]c4ccccc34)CC2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)s1; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 CCOc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-COc1ncccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc(NC(N)=O)s2)cnn1; [None]; [None]; [0]
 COc1cc(-c2ccc(NC(N)=O)s2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc(NC(N)=O)s3)c2c1; [None]; [None]; [0]
 COc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)s1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ccc(NC(N)=O)s3)c2c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)s1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc(NC(=O)C3CC3)c2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(C(N)=O)cc2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(C(=O)[O-])cc2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2nc3ccccc3[nH]2)s1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc(NC(N)=O)s3)cc2)CC1; [None]; [None]; [0]
 Cc1cc(Nc2ccc(NC(N)=O)s2)sn1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-n2ncc3ccccc3c2=O)s1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccc(NC(N)=O)s2)cn1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(C(=O)[O-])cc2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(C(N)=O)cc2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2nccc3ccccc23)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(C(=O)N3CCOCC3)cc2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(Nc2ncccn2)s1; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3ccc(NC(N)=O)s3)cn2)c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(C(=O)Nc3ccccc3)cc2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Cc2nccc3ccccc23)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc(OCCO)cc2)s1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(C(=O)Nc3ccccc3)cc2)s1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3ccc(NC(N)=O)s3)cn2)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc(C3CCNCC3)c2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(C(=O)N3CCOCC3)cc2)s1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(C(F)(F)F)cc2)s1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc(C(=O)N3CCOCC3)cn2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Nc2ccncn2)s1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Nc2ccncn2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc3c(c2)CS(=O)(=O)C3)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(C(F)(F)F)cc2)s1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Cc2ccccc2O)s1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2ccc(NC(N)=O)s2)CC1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Cc2cnc(N)nc2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(Br)cc2)s1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 NC(=O)Nc1ccc([C@H]2CCN(C(=O)c3ccccc3)C2)s1; [None]; [None]; [0]
 CC(C)c1cc(-c2ccc(NC(N)=O)s2)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3ccc(NC(N)=O)s3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2ccc(NC(N)=O)s2)nc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(Br)cc2)s1; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(NC(N)=O)s2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc(NC(N)=O)s2)cc1Cl; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3ccc(NC(N)=O)s3)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc(NC(N)=O)s2)cc1Cl; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)s2)c(C)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccccc2-n2cccn2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2c[nH]c3ccccc23)s1; [None]; [None]; [0]
+CCCOc1ccc(-c2ccc(NC(N)=O)s2)nc1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc3c(c2)CCO3)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc3ccccc3cn2)s1; [None]; [None]; [0]
+COc1cc(OC)c(-c2ccc(NC(N)=O)s2)cc1Cl; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc3c2OCO3)s1; [None]; [None]; [0]
+COc1cc(-c2ccc(NC(N)=O)s2)ccc1O; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccn3nccc3n2)s1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnc3ccccc3c2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cc(-c3ccccc3)[nH]n2)s1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-COc1cc(-c2ccc(NC(N)=O)s2)ccc1O; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccc3c2OCO3)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2scc3c2OCCO3)s1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnc3ccccc3c2)s1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3ccc(NC(N)=O)s3)[nH]c2c1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2ccc(NC(N)=O)s2)cn1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Cc2nc3c(F)c(F)ccc3[nH]2)s1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2ccc(NC(N)=O)s2)CC1; [None]; [None]; [0]
+CSc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccn(-c3cccc(Cl)c3)n2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(F)cc2Cl)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc3ccccc3s2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc3c(c2)CCC(=O)N3)s1; [None]; [None]; [0]
+COc1ccc(-c2ccc(NC(N)=O)s2)cc1OC; [None]; [None]; [0]
 CC1(COc2ccc(NC(N)=O)s2)COC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3ccc(NC(N)=O)s3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2ccc(NC(N)=O)s2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(F)cc2Cl)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ncc(Br)cn2)s1; [None]; [None]; [0]
-COc1ccc(-c2ccc(NC(N)=O)s2)cc1OC; [None]; [None]; [0]
 CCc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
-COc1ccc(CNc2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc(NC(N)=O)s2)nc(N)n1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc(Cl)cc2Cl)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(CCCn2cncn2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(NC2CN(C(=O)C3CC3)C2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ncc3cccn3n2)s1; [None]; [None]; [0]
 COc1cc(-c2ccc(NC(N)=O)s2)ccc1N1CCOCC1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc3ccccn3n2)s1; [None]; [None]; [0]
 Cn1cc(-c2ccc(NC(N)=O)s2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3ccc(NC(N)=O)s3)ccc2O1; [None]; [None]; [0]
+COc1ccc(CNc2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 COc1ccc2cccc(-c3ccc(NC(N)=O)s3)c2c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cccc3ccc(O)cc23)s1; [None]; [None]; [0]
 COc1cc(F)c(-c2ccc(NC(N)=O)s2)cc1OC; [None]; [None]; [0]
 COc1cc(-c2ccc(NC(N)=O)s2)ccc1Cl; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3ccc(NC(N)=O)s3)ccc2O1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc3ccccn3n2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc3ccc(O)cc23)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(NC2CN(C(=O)C3CC3)C2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc3cccn3n2)s1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 Cc1csc2c(-c3ccc(NC(N)=O)s3)ncnc12; [None]; [None]; [0]
+COc1cc(-c2ccc(NC(N)=O)s2)c(OC)cc1Br; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ncc(Cl)cn2)s1; [None]; [None]; [0]
 Cc1nc(Nc2ccc(NC(N)=O)s2)sc1C; [None]; [None]; [0]
 Cc1cc(Nc2ccc(NC(N)=O)s2)nn1C; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cc(N)nc3[nH]ccc23)s1; [None]; [None]; [0]
-COc1cc(-c2ccc(NC(N)=O)s2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc(NC(N)=O)s2)nc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(NC(=O)c2ccco2)s1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(Cc2ccc(C(N)=O)cc2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(Cc2ccc(S(=O)(=O)CCO)cc2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(NC(=O)c2ccco2)s1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2ccc(NC(N)=O)s2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2ccc(NC(N)=O)s2)CC1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)s1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1ccc(NC(N)=O)s1)cn2C; [None]; [None]; [0]
-COc1ccc2oc(-c3ccc(NC(N)=O)s3)cc2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ccc(NC(N)=O)s2)CC1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc3cn[nH]c3c2)s1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc3ccccc3o2)s1; [None]; [None]; [0]
+COc1ccc2oc(-c3ccc(NC(N)=O)s3)cc2c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1ccc(NC(N)=O)s1)cn2C; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
-CCn1cc(-c2ccc(NC(N)=O)s2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(OC(F)(F)F)cc2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cc(-c3cccnc3)ccn2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cc3ccccc3o2)s1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ncc3sccc3n2)s1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc(NC(=O)N3CCCC3)c2)s1; [None]; [None]; [0]
 COc1ccc2nc(-c3ccc(NC(N)=O)s3)[nH]c2c1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(OC(F)(F)F)cc2)s1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc(NC(N)=O)s2)cn1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3ccc(NC(N)=O)s3)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(-c2ccc(NC(N)=O)s2)n1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ccc(NC(N)=O)s3)ccc12; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ncn3c2CCCC3)s1; [None]; [None]; [0]
-Cc1cc(-c2ccc(NC(N)=O)s2)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3ccc(NC(N)=O)s3)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2ccc(NC(N)=O)s2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3ccc(NC(N)=O)s3)ccc12; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3ccc(NC(N)=O)s3)cn2)CC1; [None]; [None]; [0]
+NC(=O)Nc1ccc(NC(=O)c2cccc(OC(F)(F)F)c2)s1; [None]; [None]; [0]
+Cc1cc(-c2ccc(NC(N)=O)s2)cc(C)c1OCCO; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cccc(N3CCCC3=O)c2)s1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc(CCO)cc2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(NC(=O)c2cccc(OC(F)(F)F)c2)s1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3ccc(NC(N)=O)s3)cn2)CC1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2ccc(NC(N)=O)s2)c(Cl)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3ccc(NC(N)=O)s3)cc2)n1C; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ccc(NC(N)=O)s2)c(OC)c1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3ccc(NC(N)=O)s3)cc2)n1C; [None]; [None]; [0]
 Cn1nc(-c2ccc(NC(N)=O)s2)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Nc2ccc(F)cn2)s1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Nc2ccccn2)s1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(NC(N)=O)s2)ncc1F; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccc(NC(N)=O)s2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc(NC(N)=O)s2)nc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Nc2ccc(F)cn2)s1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2ccc(NC(N)=O)s2)c1; [None]; [None]; [0]
+Cc1cc(Nc2ccc(NC(N)=O)s2)ncc1F; [None]; [None]; [0]
+NC(=O)Nc1ccc(Nc2ccccn2)s1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-c1ccc(NC(N)=O)s1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CCOc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1ncc2ccccc2n1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-COc1ncccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
+COc1ncccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 COc1cc(-c2[nH]nc3c2Cc2ccccc2-3)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3[nH]nc4c3Cc3ccccc3-4)c2c1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1cnc2cccnn12; [None]; [None]; [0]
+Cc1ccc2ncn(-c3[nH]nc4c3Cc3ccccc3-4)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1)C1CC1; [None]; [None]; [0]
 Oc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
-COc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1)C1CC1; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
+COc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2)CC1; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
 Cc1cc(Nc2[nH]nc3c2Cc2ccccc2-3)sn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cn1; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1nccc2ccccc12; [None]; [None]; [0]
 O=C([O-])c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 c1cnc(Nc2[nH]nc3c2Cc2ccccc2-3)nc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3[nH]nc4c3Cc3ccccc3-4)cn2)c1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1Cc1nccc2ccccc12; [None]; [None]; [0]
 OCCOc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 c1cc(-c2[nH]nc3c2Cc2ccccc2-3)cc(C2CCNCC2)c1; [None]; [None]; [0]
-O=C(c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)nc1)N1CCOCC1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1Nc1ccncn1; [None]; [None]; [0]
+O=C(c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1)N1CCOCC1; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)nc1)N1CCOCC1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2C1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CN(C)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-Cc1nc(C)c(-c2[nH]nc3c2Cc2ccccc2-3)s1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2C1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2[nH]nc3c2Cc2ccccc2-3)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2[nH]nc3c2Cc2ccccc2-3)cn1; [None]; [None]; [0]
+Cc1nc(C)c(-c2[nH]nc3c2Cc2ccccc2-3)s1; [None]; [None]; [0]
 O=C(c1ccccc1)N1CC[C@H](c2[nH]nc3c2Cc2ccccc2-3)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2[nH]nc3c2Cc2ccccc2-3)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3[nH]nc4c3Cc3ccccc3-4)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)nc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 Brc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+CCCOc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)nc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CN(C)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1ccccc1-n1cccn1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1ccn2nccc2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(C)c1; [None]; [None]; [0]
 COc1cc(OC)c(-c2[nH]nc3c2Cc2ccccc2-3)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3[nH]nc4c3Cc3ccccc3-4)[nH]c2c1; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1-c1cc2ccccc2cn1; [None]; [None]; [0]
 c1ccc(-c2cc(-c3[nH]nc4c3Cc3ccccc3-4)n[nH]2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1cccc2c1OCO2; [None]; [None]; [0]
 COc1cc(-c2[nH]nc3c2Cc2ccccc2-3)ccc1O; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1scc2c1OCCO2; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1cnc2ccccc2c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cn1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3[nH]nc4c3Cc3ccccc3-4)nc2c1F; [None]; [None]; [0]
+Nc1nc(-c2[nH]nc3c2Cc2ccccc2-3)cs1; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](c2[nH]nc3c2Cc2ccccc2-3)CC1; [None]; [None]; [0]
-CC1(COc2[nH]nc3c2Cc2ccccc2-3)COC1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3[nH]nc4c3Cc3ccccc3-4)n2)c1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1cc2ccccc2s1; [None]; [None]; [0]
+CSc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2)CC1; [None]; [None]; [0]
+CC1(COc2[nH]nc3c2Cc2ccccc2-3)COC1; [None]; [None]; [0]
 Cc1cc(-c2[nH]nc3c2Cc2ccccc2-3)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+COc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1OC; [None]; [None]; [0]
 Fc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(Cl)c1; [None]; [None]; [0]
 Brc1cnc(-c2[nH]nc3c2Cc2ccccc2-3)nc1; [None]; [None]; [0]
-COc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1OC; [None]; [None]; [0]
+O=C1CCc2cc(-c3[nH]nc4c3Cc3ccccc3-4)ccc2N1; [None]; [None]; [0]
 CCc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 COc1ccc(CNc2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(Cl)c1; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1CCCn1cncn1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2[nH]nc3c2Cc2ccccc2-3)C1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(Cl)c1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1ncc2cccn2n1; [None]; [None]; [0]
-COc1cc(-c2[nH]nc3c2Cc2ccccc2-3)ccc1N1CCOCC1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1cc2ccccn2n1; [None]; [None]; [0]
-Cn1cc(-c2[nH]nc3c2Cc2ccccc2-3)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3[nH]nc4c3Cc3ccccc3-4)ccc2O1; [None]; [None]; [0]
+COc1cc(-c2[nH]nc3c2Cc2ccccc2-3)ccc1N1CCOCC1; [None]; [None]; [0]
 COc1ccc2cccc(-c3[nH]nc4c3Cc3ccccc3-4)c2c1; [None]; [None]; [0]
+Cn1cc(-c2[nH]nc3c2Cc2ccccc2-3)c(C(F)(F)F)n1; [None]; [None]; [0]
 Oc1ccc2cccc(-c3[nH]nc4c3Cc3ccccc3-4)c2c1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3[nH]nc4c3Cc3ccccc3-4)ccc2O1; [None]; [None]; [0]
 COc1cc(F)c(-c2[nH]nc3c2Cc2ccccc2-3)cc1OC; [None]; [None]; [0]
-COc1cc(-c2[nH]nc3c2Cc2ccccc2-3)ccc1Cl; [None]; [None]; [0]
 Clc1cnc(-c2[nH]nc3c2Cc2ccccc2-3)nc1; [None]; [None]; [0]
 Cc1csc2c(-c3[nH]nc4c3Cc3ccccc3-4)ncnc12; [None]; [None]; [0]
-Cc1nc(Nc2[nH]nc3c2Cc2ccccc2-3)sc1C; [None]; [None]; [0]
+COc1cc(-c2[nH]nc3c2Cc2ccccc2-3)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2[nH]nc3c2Cc2ccccc2-3)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 Cc1cc(Nc2[nH]nc3c2Cc2ccccc2-3)nn1C; [None]; [None]; [0]
+Cc1nc(Nc2[nH]nc3c2Cc2ccccc2-3)sc1C; [None]; [None]; [0]
 Nc1cc(-c2[nH]nc3c2Cc2ccccc2-3)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1cc(-c2[nH]nc3c2Cc2ccccc2-3)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)nc1; [None]; [None]; [0]
 O=S(=O)(CCO)c1ccc(Cc2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 O=C(Nc1[nH]nc2c1Cc1ccccc1-2)c1ccco1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2[nH]nc3c2Cc2ccccc2-3)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2[nH]nc3c2Cc2ccccc2-3)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2[nH]nc3c2Cc2ccccc2-3)CC1; [None]; [None]; [0]
 COc1cc(OC)cc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1[nH]nc3c1Cc1ccccc1-3)cn2C; [None]; [None]; [0]
 COc1ccc2oc(-c3[nH]nc4c3Cc3ccccc3-4)cc2c1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CCn1cc(-c2[nH]nc3c2Cc2ccccc2-3)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
 c1cncc(-c2ccnc(-c3[nH]nc4c3Cc3ccccc3-4)c2)c1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1cc2ccccc2o1; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1ncc2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1)N1CCCC1; [None]; [None]; [0]
 FC(F)(F)Oc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-COc1ccc2nc(-c3[nH]nc4c3Cc3ccccc3-4)[nH]c2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
-Cn1cc(-c2[nH]nc3c2Cc2ccccc2-3)c2ccccc21; [None]; [None]; [0]
+COc1ccc2nc(-c3[nH]nc4c3Cc3ccccc3-4)[nH]c2c1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3[nH]nc4c3Cc3ccccc3-4)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(-c2[nH]nc3c2Cc2ccccc2-3)c2ccccc21; [None]; [None]; [0]
 CCc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)n1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1ncn2c1CCCC2; [None]; [None]; [0]
 Cc1cc(-c2[nH]nc3c2Cc2ccccc2-3)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1ncc2cc(-c3[nH]nc4c3Cc3ccccc3-4)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cn1; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3[nH]nc4c3Cc3ccccc3-4)ccc21; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3[nH]nc4c3Cc3ccccc3-4)ccc12; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3[nH]nc4c3Cc3ccccc3-4)ccc21; [None]; [None]; [0]
+O=C(Nc1[nH]nc2c1Cc1ccccc1-2)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cn1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3[nH]nc4c3Cc3ccccc3-4)cn2)CC1; [None]; [None]; [0]
-OCCc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 O=C1CCCN1c1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
-O=C(Nc1[nH]nc2c1Cc1ccccc1-2)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(Cl)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+OCCc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(OC)c1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2)n1C; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(Cl)c1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(OC)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 Cn1nc(-c2[nH]nc3c2Cc2ccccc2-3)cc1C(C)(C)O; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)nc1; [None]; [None]; [0]
 Fc1ccc(Nc2[nH]nc3c2Cc2ccccc2-3)nc1; [None]; [None]; [0]
 Cc1cc(Nc2[nH]nc3c2Cc2ccccc2-3)ncc1F; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 c1ccc(Nc2[nH]nc3c2Cc2ccccc2-3)nc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1cccc2ncccc12; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1[nH]nc3c1Cc1ccccc1-3)OCO2; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-Oc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1-c1cccc2ncccc12; [None]; [None]; [0]
-Oc1cc(-c2[nH]nc3c2Cc2ccccc2-3)ccc1Cl; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1n[nH]c2ccccc12; [None]; [None]; [0]
-Cn1c(-c2[nH]nc3c2Cc2ccccc2-3)nc2ccccc21; [None]; [None]; [0]
+Oc1cc(-c2[nH]nc3c2Cc2ccccc2-3)ccc1Cl; [None]; [None]; [0]
 Clc1cccc(Cl)c1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 Fc1ccc(Oc2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(F)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 Oc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(Cl)c1; [None]; [None]; [0]
+Oc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(F)c1; [None]; [None]; [0]
 Nc1nccc(-c2[nH]nc3c2Cc2ccccc2-3)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 Clc1[nH]ncc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3[nH]nc4c3Cc3ccccc3-4)cc2[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2)c(O)c1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)o1; [None]; [None]; [0]
-Clc1cccc(OCc2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
 COc1cc(CCc2[nH]nc3c2Cc2ccccc2-3)ccc1O; [None]; [None]; [0]
 Brc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Oc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1F; [None]; [None]; [0]
 Oc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)c(O)c1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1-c1cnn2ncccc12; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+Nc1cc(-c2[nH]nc3c2Cc2ccccc2-3)ccn1; [None]; [None]; [0]
 Clc1ccccc1OCc1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1cnn2ncccc12; [None]; [None]; [0]
 Fc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-Clc1ccc(CCc2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 Oc1ccc(Cl)c(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1[nH]nc3c1Cc1ccccc1-3)OCO2; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 Oc1ncc(-c2[nH]nc3c2Cc2ccccc2-3)cc1Cl; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 NC(=O)c1cc(-c2[nH]nc3c2Cc2ccccc2-3)c[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3[nH]nc4c3Cc3ccccc3-4)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+COc1cc(CCc2[nH]nc3c2Cc2ccccc2-3)cc(OC)c1; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1-c1nc2ccccc2s1; [None]; [None]; [0]
 Oc1cncc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
 O=C1Cc2cc(-c3[nH]nc4c3Cc3ccccc3-4)ccc2N1; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1nc2ccccc2s1; [None]; [None]; [0]
 C[C@H](CC(N)=O)c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-CNc1nccc(-c2[nH]nc3c2Cc2ccccc2-3)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+CNc1nccc(-c2[nH]nc3c2Cc2ccccc2-3)n1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3[nH]nc4c3Cc3ccccc3-4)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2[nH]nc3c2Cc2ccccc2-3)c1C; [None]; [None]; [0]
 Cc1cc(O)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+FC(F)c1cc(-c2[nH]nc3c2Cc2ccccc2-3)[nH]n1; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2[nH]nc3c2Cc2ccccc2-3)cc1Cl; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+Clc1cnccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
 CCc1sccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2[nH]nc3c2Cc2ccccc2-3)cc1Cl; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
+CNc1nc(-c2[nH]nc3c2Cc2ccccc2-3)ncc1F; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2[nH]1; [None]; [None]; [0]
 Oc1cc(-c2[nH]nc3c2Cc2ccccc2-3)nc2ccnn12; [None]; [None]; [0]
-Cc1oc(-c2[nH]nc3c2Cc2ccccc2-3)cc1C(=O)[O-]; [None]; [None]; [0]
 Cn1ncc(N)c1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2[nH]1; [None]; [None]; [0]
+Cc1oc(-c2[nH]nc3c2Cc2ccccc2-3)cc1C(=O)[O-]; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1Nc1ccncc1; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
 Fc1cc(Br)ccc1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-Cc1n[nH]c(-c2[nH]nc3c2Cc2ccccc2-3)c1C; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
 Fc1ccc2n[nH]c(-c3[nH]nc4c3Cc3ccccc3-4)c2c1; [None]; [None]; [0]
+Cc1cc(-c2[nH]nc3c2Cc2ccccc2-3)ccc1C(N)=O; [None]; [None]; [0]
 CN(c1[nH]nc2c1Cc1ccccc1-2)c1cccc2[nH]ncc12; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
 Cc1nc2ccc(-c3[nH]nc4c3Cc3ccccc3-4)cc2o1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-Cc1cc(-c2[nH]nc3c2Cc2ccccc2-3)ccc1C(N)=O; [None]; [None]; [0]
-Oc1c(F)cc(-c2[nH]nc3c2Cc2ccccc2-3)cc1F; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
+Cc1cc(-c2[nH]nc3c2Cc2ccccc2-3)cc(C)c1O; [None]; [None]; [0]
+CSc1cccc(-c2[nH]nc3c2Cc2ccccc2-3)c1; [None]; [None]; [0]
 O=c1[nH][nH]c2cc(-c3[nH]nc4c3Cc3ccccc3-4)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-c1ccc(COc2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+Fc1ccc(Oc2[nH]nc3c2Cc2ccccc2-3)c(F)c1; [None]; [None]; [0]
+Oc1c(F)cc(-c2[nH]nc3c2Cc2ccccc2-3)cc1F; [None]; [None]; [0]
 c1ccc2c(c1)Cc1c-2n[nH]c1CCc1c[nH]c2ccccc12; [None]; [None]; [0]
-c1ccc2c(c1)Cc1c-2n[nH]c1OCc1cccc2ccccc12; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2[nH]nc3c2Cc2ccccc2-3)c(F)c1; [None]; [None]; [0]
-Fc1ccccc1Oc1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+c1ccc2c(c1)Cc1c-2n[nH]c1OCc1cccc2ccccc12; [None]; [None]; [0]
+Nc1cnc(-c2cccc(O)c2)cn1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1cccc(O)c1', 'Nc1cnc(Cl)cn1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9999898672103882, 0.9999245405197144, 0.999855101108551, 0.9982454776763916, 0.9966546297073364]
 Clc1ccc(-c2[nH]ncc2-c2[nH]nc3c2Cc2ccccc2-3)cc1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
+Nc1cnc(-c2cccc3ncccc23)cn1; ['Brc1cccc2ncccc12', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Brc1cccc2ncccc12', 'Br[Mg]c1cccc2ncccc12', 'Brc1cccc2ncccc12']; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Ic1cccc2ncccc12', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'OB(O)c1cccc2ncccc12', 'Nc1cnc(Cl)cn1', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999953508377075, 0.9999921321868896, 0.999991774559021, 0.9999796152114868, 0.9998341798782349, 0.9997791051864624, 0.9997329115867615, 0.9977504014968872, 0.9945120811462402, 0.9507620334625244, 0.8187109231948853]
 Fc1ccc(COc2[nH]nc3c2Cc2ccccc2-3)c(F)c1; [None]; [None]; [0]
-Fc1ccc(CCc2[nH]nc3c2Cc2ccccc2-3)c(F)c1; [None]; [None]; [0]
+Nc1cnc(-c2ccc(Cl)c(O)c2)cn1; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1ccc(Cl)c(O)c1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999923706054688, 0.9999620914459229, 0.9996030330657959, 0.9973937273025513]
 Fc1cccc(Cl)c1CNc1[nH]nc2c1Cc1ccccc1-2; [None]; [None]; [0]
-Nc1cnc(-c2ccc(-c3ccc(O)cc3O)cc2)cn1; [None]; [None]; [0]
-Nc1cnc(-c2cnn3ncccc23)cn1; [None]; [None]; [0]
+Fc1ccc(CCc2[nH]nc3c2Cc2ccccc2-3)c(F)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.999998927116394, 0.9999910593032837, 0.9999247789382935, 0.9988710880279541, 0.9229705333709717]
+Nc1cnc(-c2c(Cl)ccc3c2OCO3)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2']; [0.9996297359466553, 0.9919977188110352]
+Nc1cnc(Oc2ccc(F)cc2)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(F)cn1']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9998283386230469, 0.999064564704895, 0.9954978227615356]
+Nc1cnc(-c2c(Cl)cccc2Cl)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1']; ['Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999706745147705, 0.9994418025016785, 0.9983915090560913, 0.9650071859359741]
+NC(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999991655349731, 0.9999940395355225, 0.9999567866325378, 0.9997603297233582, 0.9994891881942749, 0.9915972948074341]
+Nc1cnc(-c2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
+Nc1cnc(-c2ccc(O)cc2Cl)cn1; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1ccc(O)cc1Cl', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc(O)cc1Cl']; [0.999970555305481, 0.9998894333839417, 0.998982310295105, 0.9859031438827515]
+COc1cc(C(N)=O)ccc1-c1cnc(N)cn1; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999901652336121, 0.9998829364776611, 0.9924197196960449]
+NC(=O)c1ccc(-c2cnc(N)cn2)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(Br)c(F)c1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999985694885254, 0.9999946355819702, 0.9999923706054688, 0.9999771118164062, 0.9999731183052063, 0.9998313188552856]
+Nc1cnc(-c2ccc(O)cc2F)cn1; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Br)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Nc1cnc(Cl)cn1', 'Oc1cccc(F)c1']; [0.9999931454658508, 0.9999849200248718, 0.999417781829834, 0.9992653131484985, 0.9986234307289124, 0.8887091279029846]
+COc1ccc(F)cc1-c1cnc(N)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O']; ['COc1ccc(F)cc1Br', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnccn1']; [0.9999980330467224, 0.9999950528144836, 0.9999933242797852, 0.9999906420707703, 0.9999668598175049, 0.9999443292617798, 0.9997254610061646, 0.9990932941436768, 0.9971328973770142, 0.9449105262756348]
+COc1cc(F)ccc1-c1cnc(N)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br']; ['COc1cc(F)ccc1Br', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnccn1', 'Nc1cnccn1']; [0.9999988079071045, 0.9999971985816956, 0.999996542930603, 0.9999961853027344, 0.9999817609786987, 0.9999450445175171, 0.9997366666793823, 0.9993281960487366, 0.9987233281135559, 0.9841920137405396, 0.9718478322029114]
+Cc1nc2c(F)cc(-c3cnc(N)cn3)cc2[nH]1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)cn2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999982118606567, 0.9999300241470337, 0.9999225735664368, 0.9854049682617188]
+Nc1cnc(-c2ccc(C(=O)[O-])cc2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2ccc(-c3ccc(O)cc3O)cc2)cn1; ['Nc1cnc(Br)cn1']; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; [0.993370532989502]
+Nc1cnc(-c2cn[nH]c2Cl)cn1; [None]; [None]; [0]
+Nc1cnc(-c2ccnc(N)n2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2cccc(Br)c2)cn1; ['Nc1cnc(I)cn1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Brc1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['OB(O)c1cccc(Br)c1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999719858169556, 0.9999390840530396, 0.9999280571937561, 0.9999197125434875, 0.9998838901519775, 0.9998167753219604, 0.9975698590278625, 0.9883075952529907]
+Nc1cnc(-c2ccc(O)c(F)c2)cn1; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1ccc(O)c(F)c1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc(O)c(F)c1']; [0.9999995231628418, 0.9999879598617554, 0.9999829530715942, 0.9983372688293457]
+Nc1cnc(-c2ccc3ccccc3c2)cn1; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc2ccccc2c1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999980330467224, 0.9999979734420776, 0.9999968409538269, 0.9999240636825562, 0.9997478723526001, 0.9992395639419556, 0.9972624778747559]
+Cn1cc(-c2cnc(N)cn2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999585747718811, 0.9994951486587524]
+COC(=O)c1ccc(Cl)c(-c2cnc(N)cn2)c1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; ['COC(=O)c1ccc(Cl)c(Br)c1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'COC(=O)c1ccc(Cl)c(I)c1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1']; [0.9999986886978149, 0.9999983310699463, 0.9999982118606567, 0.9999821782112122, 0.9999626874923706, 0.9999154806137085, 0.9998130798339844, 0.9988181591033936, 0.9971142411231995, 0.9955590963363647]
+COC(=O)c1ccc(-c2cnc(N)cn2)o1; [None]; [None]; [0]
+Nc1cnc(-c2ccc(O)cc2O)cn1; [None]; [None]; [0]
+Nc1cnc(-c2ccnc(N)c2)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(B(O)O)ccn1', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(Br)ccn1']; ['Nc1cc(Br)ccn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnccn1']; [0.9999986886978149, 0.9999912977218628, 0.9999022483825684, 0.9997836947441101, 0.9982079267501831, 0.9947026371955872, 0.9942431449890137, 0.8625809550285339]
+Nc1cnc(-c2cnn3ncccc23)cn1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999762773513794, 0.9996519684791565]
+Nc1cnc(-c2c[nH]c3cnccc23)cn1; ['Brc1c[nH]c2cnccc12', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1']; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9999482035636902, 0.9992979764938354, 0.9954515695571899, 0.9921119809150696]
+Nc1cnc(-c2ccc(F)c(Cl)c2)cn1; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'Fc1ccc(Br)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1']; [1.0, 1.0, 0.9999997615814209, 0.9999996423721313, 0.9999984502792358, 0.9999542832374573]
+COc1cc(CCc2cnc(N)cn2)ccc1O; [None]; [None]; [0]
+Nc1cnc(-c2cc(O)ccc2Cl)cn1; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1cc(O)ccc1Cl', 'Nc1cnc(Cl)cn1', 'OB(O)c1cc(O)ccc1Cl']; [0.9999691247940063, 0.9994643926620483, 0.9975975751876831, 0.8354963064193726]
+Nc1cnc(-c2cnc(O)c(Cl)c2)cn1; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999980330467224, 0.999984622001648]
+Cc1ccc(CO)cc1-c1cnc(N)cn1; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1B(O)O']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1']; [0.999981164932251, 0.9999649524688721, 0.9997542500495911, 0.9996513724327087, 0.9988709688186646, 0.9960460066795349]
+Nc1cnc(COc2ccccc2Cl)cn1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cnc(N)cn1; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B(O)O']; ['Nc1cnc(Br)cn1', 'Cc1ccc2[nH]ncc2c1Br', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999504089355469, 0.9992259740829468, 0.9990772008895874, 0.9934583902359009, 0.9829476475715637, 0.9016522765159607, 0.7778651714324951]
+COc1cc(OC)cc(-c2cnc(N)cn2)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Br)cc(OC)c1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'COc1cc(Br)cc(OC)c1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1']; [0.9999910593032837, 0.9999896287918091, 0.9999865293502808, 0.9999860525131226, 0.999769389629364, 0.9994074106216431, 0.964937686920166]
+COc1ccc(-c2cnc(N)cn2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; ['Nc1cnc(Br)cn1', 'COc1ccc(Br)cc1OC', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnccn1']; [0.9999985694885254, 0.9999966621398926, 0.9999802112579346, 0.9999768733978271, 0.9999315142631531, 0.9995054602622986, 0.9991368055343628, 0.9986978769302368, 0.9598643779754639]
+NC(=O)c1cc(-c2cnc(N)cn2)c[nH]1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C']; ['NC(=O)c1cc(Br)c[nH]1']; [0.9999785423278809]
+CCOc1cccc(-c2cnc(N)cn2)c1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1']; ['CCOc1cccc(Br)c1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1']; [0.9999964237213135, 0.9999953508377075, 0.9999747276306152, 0.99996018409729, 0.9999357461929321, 0.999774694442749, 0.9962377548217773]
+Nc1cnc(-c2[nH]cnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2cnc3[nH]ccc3c2)cn1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1cnc(Cl)cn1', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 1.0, 0.9999991059303284, 0.9999973773956299, 0.9999039173126221]
+Cc1nc2ccc(-c3cnc(N)cn3)cc2[nH]1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1']; ['Nc1cnc(Br)cn1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999997615814209, 0.9999986886978149, 0.9999963641166687, 0.997114896774292]
+CNC(=O)c1cccc2cc(-c3cnc(N)cn3)ccc12; [None]; [None]; [0]
+Nc1cnc(-c2cncc(O)c2)cn1; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1']; [0.9999982118606567, 0.9998180270195007, 0.9992236495018005, 0.765029788017273]
+CS(=O)(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnccn1']; [1.0, 0.9999997615814209, 0.9999995231628418, 0.999993622303009, 0.9999486207962036, 0.9988903403282166, 0.8665599822998047]
+Nc1cnc(-c2ccc3c(c2)CC(=O)N3)cn1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(I)cn1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; ['Nc1cnc(Br)cn1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'Nc1cnc(Cl)cn1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9999823570251465, 0.9999488592147827, 0.9998781681060791, 0.9998078346252441, 0.9997849464416504, 0.9996867179870605, 0.9976227879524231, 0.9850884675979614, 0.9606799483299255]
+COc1cc(CCc2cnc(N)cn2)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1']; ['Nc1cnc(Cl)cn1']; [0.8506474494934082]
+NC(=O)Nc1ccc(-c2cnc(N)cn2)cc1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'NC(=O)Nc1ccc(Br)cc1']; [0.9999990463256836, 0.999984622001648, 0.9999486207962036]
+CCc1cc(O)ccc1-c1cnc(N)cn1; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Nc1cnc(Br)cn1', 'CCc1cc(O)ccc1Br', 'Nc1cnc(Cl)cn1']; [0.9999833703041077, 0.9999734163284302, 0.999035656452179]
+Nc1cnc(-c2nc3ccccc3s2)cn1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cnc(N)cn1; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1cnc(Cl)cn1']; [0.9999861121177673]
+Cc1n[nH]c(-c2cnc(N)cn2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cnc(N)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B(O)O']; ['Cc1cc(O)ccc1Br', 'Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999909400939941, 0.9999773502349854, 0.9999321699142456, 0.9974260330200195, 0.9932914972305298, 0.9915890097618103]
+CN(c1cccc(Cl)c1)c1cnc(N)cn1; ['CNc1cccc(Cl)c1']; ['Nc1cnc(Cl)cn1']; [0.9914077520370483]
+Nc1cnc(-c2ccncc2Cl)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Clc1cnccc1Br']; ['OB(O)c1ccncc1Cl', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1Br', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccncc1Cl', 'Nc1cnc(Br)cn1']; [0.9998137354850769, 0.9996826648712158, 0.9994771480560303, 0.9993070363998413, 0.9601209163665771, 0.9424059391021729, 0.8483895659446716]
 Cc1n[nH]c2cc(N(C)c3cnc(N)cn3)ccc12; [None]; [None]; [0]
+CCc1sccc1-c1cnc(N)cn1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1cnc(N)cn1; [None]; [None]; [0]
+Nc1cnc(-c2cc(Cl)c(O)c(Cl)c2)cn1; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9999880194664001, 0.9996917247772217, 0.9996887445449829, 0.9798040986061096]
+CNc1nccc(-c2cnc(N)cn2)n1; [None]; [None]; [0]
+Nc1cnc(-c2cc(C(F)F)n[nH]2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2ccc3c(c2)CCN3)cn1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Brc1ccc2c(c1)CCN2', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Brc1ccc2c(c1)CCN2', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'Nc1cnc(Br)cn1', 'OB(O)c1ccc2c(c1)CCN2']; [0.9999996423721313, 0.9999995231628418, 0.9999992847442627, 0.999994158744812, 0.9999452829360962, 0.999557614326477, 0.997382402420044, 0.9930018782615662]
+Nc1cnc(-c2ccc3[nH]c(=O)[nH]c3c2)cn1; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; ['Nc1cnc(Br)cn1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'Nc1cnc(Cl)cn1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.9999979138374329, 0.99998939037323, 0.9999861121177673, 0.9999338388442993, 0.9988234043121338, 0.998264491558075]
+Nc1cnc(Nc2ccncc2)cn1; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1cnc(N)cn1', 'Nc1ccncc1', 'Clc1ccncc1', 'Brc1ccncc1', 'Ic1ccncc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccncc1', 'Nc1cnc(F)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(N)cn1']; [0.9992830157279968, 0.9970753192901611, 0.996299147605896, 0.9919553399085999, 0.9836595058441162, 0.9621107578277588, 0.9569031000137329]
 Nc1cnc(-c2cc(O)n3nccc3n2)cn1; [None]; [None]; [0]
 Cc1oc(-c2cnc(N)cn2)cc1C(=O)[O-]; [None]; [None]; [0]
+Nc1cnc(-c2ccc(Br)cc2F)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Nc1cnc(I)cn1', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Fc1cc(Br)ccc1Br', 'Nc1cnccn1', 'Fc1cc(Br)ccc1Br']; ['Fc1cc(Br)ccc1Br', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'OB(O)c1ccc(Br)cc1F', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F', 'Nc1cnc(Br)cn1', 'OB(O)c1ccc(Br)cc1F', 'Nc1cnccn1']; [0.9999982118606567, 0.9999978542327881, 0.9999946355819702, 0.9999939203262329, 0.9999515414237976, 0.9999098181724548, 0.9999041557312012, 0.9970611333847046, 0.9735246896743774, 0.9215930700302124]
+CNc1nc(-c2cnc(N)cn2)ncc1F; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnc(N)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'CNC(=O)c1ccc(Br)cc1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnccn1']; [0.9999997615814209, 0.9999983310699463, 0.999983549118042, 0.9999681115150452, 0.9999436140060425, 0.9998338222503662, 0.9855592250823975, 0.9447141885757446, 0.9133991003036499]
+Nc1cnc(-c2cc(O)cc(Br)c2)cn1; ['CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C']; ['Nc1cnc(Br)cn1', 'OB(O)c1cc(O)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'Nc1cnc(Cl)cn1']; [0.9994216561317444, 0.9990084171295166, 0.9971349239349365, 0.98760986328125]
+Nc1cnc(-c2ccc(C(=O)NC3CC3)cc2)cn1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [1.0, 0.9999988079071045, 0.9999980926513672, 0.999996542930603, 0.9999676942825317, 0.9964529275894165]
+Cc1cc(-c2cnc(N)cn2)cc(C)c1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1']; [0.9999221563339233, 0.998958945274353, 0.9948519468307495, 0.9483422636985779]
+Nc1cnc(-c2[nH]nc3ccc(F)cc23)cn1; [None]; [None]; [0]
+Cc1cc(-c2cnc(N)cn2)ccc1C(N)=O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999969005584717, 0.9999830722808838, 0.982764720916748]
+Nc1cnc(-c2cc(F)c(O)c(F)c2)cn1; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; ['Nc1cnc(Br)cn1', 'OB(O)c1cc(F)c(O)c(F)c1', 'Nc1cnc(Cl)cn1', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F']; [0.9999793767929077, 0.9995377659797668, 0.9994250535964966, 0.9852596521377563, 0.9745752811431885]
+Cc1nc2ccc(-c3cnc(N)cn3)cc2o1; ['Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Cc1nc2ccc(Br)cc2o1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnccn1', 'Nc1cnccn1']; [0.9999998807907104, 0.9999996423721313, 0.9999992847442627, 0.9999984502792358, 0.9999905228614807, 0.9999712705612183, 0.9995066523551941, 0.9953823089599609]
+Nc1cnc(-c2ccc3c(=O)[nH][nH]c3c2)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; ['O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12']; [0.9999994039535522, 0.9998753070831299, 0.9991598129272461]
+Nc1cnc(OCc2cccc3ccccc23)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1']; ['OCc1cccc2ccccc12', 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0.940349817276001, 0.9371355772018433, 0.9204419851303101]
+CSc1cccc(-c2cnc(N)cn2)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc([B-](F)(F)F)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1']; ['Nc1cnc(Br)cn1', 'CSc1cccc(Br)c1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1']; [0.9999980330467224, 0.9999977946281433, 0.999987006187439, 0.9999616146087646, 0.9998681545257568, 0.9986583590507507, 0.998654842376709, 0.9974874258041382, 0.9971573352813721, 0.9910352230072021]
+Nc1cnc(Oc2ccc(F)cc2F)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(F)cn1']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999709725379944, 0.9999693632125854, 0.9991319179534912]
+Cc1onc(-c2ccccc2)c1-c1cnc(N)cn1; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1']; [0.9999717473983765, 0.9999232292175293, 0.9990421533584595]
+Nc1cnc(OCc2ccc(F)cc2F)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(F)cn1']; ['OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F']; [0.9998078346252441, 0.9994845986366272, 0.9491273164749146]
 CN(c1cnc(N)cn1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 Nc1cnc(-c2ocnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
+Nc1cnc(CCc2c[nH]c3ccccc23)cn1; [None]; [None]; [0]
+Nc1cnc(NCc2c(F)cccc2Cl)cn1; ['NCc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CBr', 'Nc1cnc(N)cn1', 'Fc1cccc(Cl)c1CCl', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'Nc1cnc(N)cn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(N)cn1', 'O=Cc1c(F)cccc1Cl', 'Nc1cnc(N)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(F)cn1', 'OCc1c(F)cccc1Cl']; [0.999942421913147, 0.999847412109375, 0.999785304069519, 0.999458909034729, 0.9984465837478638, 0.9965156316757202, 0.9102739095687866]
+CC(=O)N(C)c1ccc(-c2cnc(N)cn2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999995231628418, 0.9999949932098389, 0.9971791505813599]
+Nc1cnc(-c2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
+CCOc1ccc(-c2cnc(N)cn2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'CCOc1ccc(Br)cc1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnccn1', 'Nc1cnccn1', 'Nc1cnccn1']; [0.999998927116394, 0.9999985098838806, 0.9999942779541016, 0.9999842643737793, 0.999971866607666, 0.9999278783798218, 0.9989938735961914, 0.9951087236404419, 0.9389978051185608, 0.9189165830612183, 0.7990825176239014]
+Nc1cnc(CCc2ccc(F)cc2F)cn1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cnc(N)cn1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc(N)cn3)cc2)CC1; [None]; [None]; [0]
+COc1ncccc1-c1cnc(N)cn1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1ncccc1B(O)O', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['Nc1cnc(Br)cn1', 'COc1ncccc1Br', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.999880313873291, 0.9996216297149658, 0.9991305470466614, 0.9968714714050293, 0.9961043000221252, 0.9915359616279602, 0.9520957469940186]
+COc1cc(-c2cnc(N)cn2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Nc1cnc(Br)cn1', 'COc1cc(Br)cc(OC)c1OC', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.999984860420227, 0.9999817609786987, 0.9999321699142456, 0.9999071359634399, 0.9997572898864746, 0.9990790486335754, 0.9979348182678223, 0.9977697134017944]
+CS(=O)(=O)c1cccc(-c2cnc(N)cn2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['Nc1cnc(Br)cn1', 'CS(=O)(=O)c1cccc(Br)c1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [1.0, 0.9999998211860657, 0.9999991655349731, 0.9999950528144836, 0.9999840259552002, 0.999962568283081, 0.9999290108680725, 0.9994621276855469]
+Cc1ccc2ncn(-c3cnc(N)cn3)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(F)cn1']; [0.9647644758224487, 0.8986027836799622, 0.8775269985198975]
+Nc1cnc(-c2cnc3cccnn23)cn1; [None]; [None]; [0]
+COc1ccc(-c2cnc(N)cn2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'COc1ccc(Br)cc1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999980926513672, 0.9999758005142212, 0.9999690055847168, 0.9999498128890991, 0.9995676279067993, 0.9986230731010437, 0.9928334951400757, 0.9910787343978882]
+Nc1cnc(-c2ncc3ccccc3n2)cn1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cnc(N)cn2)c1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; ['N#Cc1ccc(O)c(Br)c1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1']; [0.9999966621398926, 0.9999666810035706, 0.9999635815620422, 0.9979142546653748]
+Nc1cnc(-c2ccc(N3CCOCC3)cc2)cn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1cnc(Cl)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1cnc(Br)cn1', 'Nc1cnccn1']; [1.0, 1.0, 0.9999997019767761, 0.9999996423721313, 0.9999986886978149, 0.9999979734420776, 0.9999978542327881, 0.9998738765716553, 0.9935876131057739]
+Cc1cc(Nc2cnc(N)cn2)sn1; ['Cc1cc(N)sn1', 'Cc1cc(N)sn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9994114637374878, 0.9938677549362183]
+Nc1cnc(Nc2ncccn2)cn1; ['Nc1cnc(Br)cn1', 'CSc1ncccn1', 'Fc1ncccn1', 'Brc1ncccn1']; ['Nc1ncccn1', 'Nc1cnc(N)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(N)cn1']; [0.9500348567962646, 0.8288955688476562, 0.7658712863922119, 0.7542409300804138]
+Nc1cnc(-c2nc3ccccc3[nH]2)cn1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['Nc1cnc(C=O)cn1', 'Nc1cnc(C(=O)O)cn1']; [0.9898786544799805, 0.9134840965270996]
+Nc1cnc(-c2nccc3ccccc23)cn1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cnc(N)cn2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnccn1']; [0.9999993443489075, 0.9999967813491821, 0.9999912977218628, 0.999962568283081, 0.9999555349349976, 0.9999079704284668, 0.9322841763496399]
 N#Cc1cccc(Cn2cc(-c3cnc(N)cn3)cn2)c1; [None]; [None]; [0]
-Nc1cnc(-c2ccc3c(c2)CS(=O)(=O)C3)cn1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc(N)cn3)cc2)CC1; [None]; [None]; [0]
+Nc1cnc(-c2cccc(C3CCNCC3)c2)cn1; ['Brc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Br)cn1']; [0.9999994039535522, 0.9995179176330566]
+Nc1cnc(-c2ccc(C(=O)Nc3ccccc3)cc2)cn1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9999998807907104, 0.999997615814209, 0.9999967813491821, 0.9999966621398926, 0.9999750852584839, 0.9999421238899231, 0.9995064735412598, 0.9983389377593994]
+Nc1cnc(-c2cccc(NC(=O)C3CC3)c2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2ccc(OCCO)cc2)cn1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnccn1']; ['Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(Br)cc1']; [0.9999996423721313, 0.9999989867210388, 0.999987006187439, 0.9999819993972778, 0.9999817609786987, 0.9999805688858032, 0.999158501625061, 0.9977074861526489, 0.9964032173156738, 0.82734215259552]
+Nc1cnc(-c2ccc(C(=O)N3CCOCC3)cc2)cn1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnccn1', 'Nc1cnccn1', 'Nc1cnccn1']; ['Nc1cnc(Br)cn1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 0.9999995231628418, 0.9999995231628418, 0.9999992847442627, 0.9999943971633911, 0.9999915957450867, 0.9999912977218628, 0.9998425841331482, 0.999275803565979, 0.9928956031799316, 0.9834941625595093, 0.9371770024299622]
+Nc1cnc(Nc2ccncn2)cn1; ['Nc1ccncn1', 'Clc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(F)cn1']; [0.995692789554596, 0.9908854961395264, 0.8491414785385132, 0.8264605402946472]
+Nc1cnc(-c2ccc(C(F)(F)F)cc2)cn1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'FC(F)(F)c1ccc(Br)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999995827674866, 0.9999961853027344, 0.9999927282333374, 0.9999860525131226, 0.999936580657959, 0.9995065331459045, 0.9985983371734619]
+Nc1cnc(-c2ccc3c(c2)CS(=O)(=O)C3)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Cl)cn1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999945163726807, 0.9949806928634644]
+C[C@H](O)COc1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cnc(N)cn2)s1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc(N)cn2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(Br)cc1', None]; ['Nc1cnc(Br)cn1', 'CN(C)c1ccc(Br)cc1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', None]; [0.9999994039535522, 0.9999966621398926, 0.9999942779541016, 0.9999812841415405, 0.9997444748878479, 0.9996738433837891, 0.998652458190918, 0.9976913928985596, 0]
+CN(C)S(=O)(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnccn1']; [1.0, 0.9999996423721313, 0.9999991655349731, 0.9999988079071045, 0.9999986886978149, 0.9999754428863525, 0.9999250173568726, 0.9997129440307617, 0.9996585845947266, 0.9934355616569519, 0.8671970367431641]
+C[C@@H](O)COc1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
+Nc1cnc(-c2ccc(C(=O)N3CCOCC3)cn2)cn1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999681711196899, 0.9997327327728271, 0.9938278198242188]
+Nc1cnc(-c2ccc(Br)cc2)cn1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1cnc(I)cn1', 'Brc1ccc(Br)cc1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Brc1ccc(Br)cc1', 'Brc1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc(Br)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.999993622303009, 0.9999879598617554, 0.9995841979980469, 0.9995096921920776, 0.9990643858909607, 0.9982994794845581, 0.9356939792633057, 0.9091633558273315]
+CCCOc1ccc(-c2cnc(N)cn2)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1cnc(Br)cn1']; [0.9684230089187622]
+CS(=O)(=O)N1CCC(c2cnc(N)cn2)CC1; [None]; [None]; [0]
 CC(C)c1cc(-c2cnc(N)cn2)nc(N)n1; [None]; [None]; [0]
+Nc1cnc([C@H]2CCN(C(=O)c3ccccc3)C2)cn1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cnc(N)cn3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cnc(N)cn2)nc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc([B-](F)(F)F)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnccn1', 'Nc1cnccn1', 'Nc1cnccn1']; [1.0, 0.9999995231628418, 0.9999991655349731, 0.9999958872795105, 0.9999948143959045, 0.9999536275863647, 0.9999064207077026, 0.9999019503593445, 0.9996750354766846, 0.9995381832122803, 0.9890838861465454, 0.926161527633667, 0.9085108041763306]
+CN(C)c1ccc(-c2cnc(N)cn2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'CN(C)c1ccc(Br)cc1Cl', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnccn1']; [1.0, 1.0, 1.0, 0.9999991059303284, 0.9995171427726746, 0.9994736909866333, 0.9426397085189819]
+CNS(=O)(=O)c1ccc(-c2cnc(N)cn2)c(C)c1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999960064888, 0.9999668002128601, 0.9997966289520264, 0.9995826482772827, 0.998978853225708, 0.9987730979919434, 0.998587429523468, 0.9847379326820374]
+Cc1c(C(=O)[O-])cccc1-c1cnc(N)cn1; [None]; [None]; [0]
+Nc1cnc(-c2ccccc2-n2cccn2)cn1; ['Brc1ccccc1-n1cccn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Brc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1']; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999920725822449, 0.9999278783798218, 0.9998679161071777, 0.9997903108596802, 0.999547004699707, 0.9990111589431763, 0.9990065693855286, 0.9957716464996338, 0.9813719987869263]
+COc1ccc(Cl)cc1-c1cnc(N)cn1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'COc1ccc(Cl)cc1Br', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1']; [0.9999274015426636, 0.9999247789382935, 0.9999113082885742, 0.9998890161514282, 0.9998885989189148, 0.998679518699646, 0.9962037801742554, 0.8396998643875122]
+Nc1cnc(-c2ccc3c(c2)CCO3)cn1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1cnc(I)cn1', 'Brc1ccc2c(c1)CCO2', 'Nc1cnc(Cl)cn1', 'Brc1ccc2c(c1)CCO2']; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1cnc(Br)cn1', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1cnccn1']; [0.9999994039535522, 0.9999992251396179, 0.9999909400939941, 0.9999827146530151, 0.9999564290046692, 0.999836802482605, 0.9995201230049133, 0.998807430267334]
+Nc1cnc(-c2ccn3nccc3n2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2c[nH]c3ccccc23)cn1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'OB(O)c1c[nH]c2ccccc12', 'Nc1cnc(Cl)cn1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999700784683228, 0.999934196472168, 0.9996033906936646, 0.9992892742156982, 0.9982502460479736, 0.9905645847320557]
+CC(=O)Nc1cccc(-c2cnc(N)cn2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1']; [0.999991774559021, 0.9999840259552002, 0.9999440312385559, 0.9998767375946045, 0.9997657537460327, 0.9996930360794067]
+Nc1cnc(-c2cccc3c2OCO3)cn1; ['Brc1cccc2c1OCO2', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Brc1cccc2c1OCO2', 'Brc1cccc2c1OCO2']; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9998437762260437, 0.9998283982276917, 0.9997905492782593, 0.9986720085144043, 0.9974286556243896, 0.9926068782806396, 0.97238689661026, 0.9653191566467285, 0.7978556156158447]
+COc1cc(OC)c(-c2cnc(N)cn2)cc1Cl; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Br)cc1Cl']; ['COc1cc(OC)c(Br)cc1Cl', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999954104423523, 0.9940484762191772, 0.9298402070999146]
 CC(C)c1ccc2nc(-c3cnc(N)cn3)[nH]c2c1; [None]; [None]; [0]
+Nc1cnc(-c2cnc3ccccc3c2)cn1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1']; [0.9999997615814209, 0.9999990463256836, 0.999997079372406, 0.9999944567680359, 0.9998565912246704]
+CC(C)(C)c1ccc(-c2cnc(N)cn2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1']; [0.9999997615814209, 0.9999988079071045, 0.9999958276748657, 0.999991774559021, 0.9998804330825806, 0.9997865557670593]
+Nc1cnc(-c2scc3c2OCCO3)cn1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc(N)cn2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1']; [1.0, 0.9999996423721313, 0.9999958276748657, 0.9999787211418152, 0.9994702339172363, 0.9990993738174438, 0.9984155893325806]
+CN(C)C(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnccn1', 'Nc1cnccn1']; [1.0, 1.0, 0.9999996423721313, 0.9999992847442627, 0.9999977946281433, 0.9999926090240479, 0.9999569654464722, 0.9999165534973145, 0.9974563121795654, 0.9538119435310364, 0.7937606573104858]
+CC1(COc2cnc(N)cn2)COC1; ['CC1(CO)COC1', 'CC1(CO)COC1', 'CC1(CO)COC1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1']; [0.9919328093528748, 0.9621946811676025, 0.8895276784896851]
+Nc1cnc(-c2cc(-c3ccccc3)[nH]n2)cn1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cnc(N)cn2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COc1cccc(C(N)=O)c1', 'COc1cccc(C(N)=O)c1', 'COc1cccc(C(N)=O)c1']; ['Nc1cnc(N)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(F)cn1']; [0.9973963499069214, 0.9965221285820007, 0.9950443506240845, 0.9944812059402466, 0.8268470764160156]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
-Nc1cnc(Cc2nc3c(F)c(F)ccc3[nH]2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2cc3ccccc3s2)cn1; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1']; ['OB(O)c1cc2ccccc2s1', 'OB(O)c1cc2ccccc2s1', 'Nc1cnc(Br)cn1']; [0.9999719262123108, 0.9997450113296509, 0.9995907545089722]
+CSc1ccc(-c2cnc(N)cn2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'CSc1ccc(Br)cc1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999993443489075, 0.9999966025352478, 0.9999746084213257, 0.9999517202377319, 0.9996969699859619, 0.9985210299491882, 0.9809910655021667]
+Nc1cnc(-c2ccn(-c3cccc(Cl)c3)n2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)cn2)CC1; [None]; [None]; [0]
+Nc1cnc(-c2ccc3c(c2)CCC(=O)N3)cn1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; ['Nc1cnc(Br)cn1', 'O=C1CCc2cc(Br)ccc2N1', 'Nc1cnc(Cl)cn1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999767541885376, 0.9998877048492432, 0.9993138313293457, 0.9847134351730347, 0.9836769104003906]
+Nc1cnc(-c2csc(N)n2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2ccc(F)cc2Cl)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Fc1ccc(Br)c(Cl)c1', 'Nc1cnc(Cl)cn1', 'Fc1ccc(Br)c(Cl)c1']; ['Fc1ccc(Br)c(Cl)c1', 'Nc1cnc(Br)cn1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'OB(O)c1ccc(F)cc1Cl', 'Nc1cnccn1']; [0.9999985098838806, 0.999995768070221, 0.9999756813049316, 0.9999583959579468, 0.9999264478683472, 0.9983417987823486, 0.997377336025238, 0.878533124923706]
+CCc1ccc(-c2cnc(N)cn2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'CCc1ccc(Br)cc1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999997615814209, 0.9999985098838806, 0.9999937415122986, 0.9999933242797852, 0.9999836683273315, 0.9994038343429565, 0.9990066289901733, 0.9976397752761841, 0.997542679309845]
+CCN1CCN(Cc2ccc(-c3cnc(N)cn3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1cnc(Br)cn1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999966621398926, 0.9999958872795105, 0.999981164932251, 0.9999213814735413, 0.9983437061309814, 0.9982761144638062]
+COc1ccc(CNc2cnc(N)cn2)cc1; ['COc1ccc(CBr)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(CN)cc1']; ['Nc1cnc(N)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(F)cn1']; [0.9985706210136414, 0.9975218176841736, 0.9972643852233887, 0.9953051805496216, 0.9913384914398193, 0.959528923034668]
+Cc1cc(-c2cnc(N)cn2)nc(N)n1; [None]; [None]; [0]
+Nc1cnc(-c2ccc(Cl)cc2Cl)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Clc1ccc(Br)c(Cl)c1']; ['Clc1ccc(Br)c(Cl)c1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1cnc(Cl)cn1']; [0.9999791383743286, 0.99996417760849, 0.9999524354934692, 0.9998779296875, 0.9998197555541992, 0.9993293285369873, 0.994563102722168, 0.8591312766075134]
 Nc1cnc(NC2CN(C(=O)C3CC3)C2)cn1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
+Nc1cnc(-c2ncc(Br)cn2)cn1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)cn2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Nc1cnc(Br)cn1', 'COc1cc(Br)ccc1N1CCOCC1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999996423721313, 0.9999988079071045, 0.9999082088470459, 0.9997777938842773, 0.9997594952583313]
+Cn1cc(-c2cnc(N)cn2)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1']; [0.9999986886978149, 0.9999912977218628, 0.9999655485153198, 0.9999203681945801]
+Nc1cnc(-c2cc3ccccn3n2)cn1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cnc(N)cn3)ccc2O1; [None]; [None]; [0]
+Nc1cnc(-c2cccc3ccc(O)cc23)cn1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999762773513794, 0.999182939529419]
+COc1ccc2cccc(-c3cnc(N)cn3)c2c1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1ccc2cccc(Br)c2c1']; ['COc1ccc2cccc(Br)c2c1', 'Nc1cnc(Cl)cn1']; [0.9999861121177673, 0.9922033548355103]
+COc1cc(-c2cnc(N)cn2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Nc1cnc(Br)cn1', 'COc1cc(Br)ccc1Cl', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnccn1']; [0.9999998211860657, 0.9999997615814209, 0.9999955892562866, 0.9999940395355225, 0.9999856948852539, 0.9993895292282104, 0.9985436201095581, 0.9969464540481567, 0.9317376613616943]
+Nc1cnc(-c2ncc3cccn3n2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2ncc(Cl)cn2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2cnn(CCO)c2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1']; [0.9998894929885864, 0.9993137121200562, 0.9985616207122803, 0.9941195249557495]
+Cc1nc(Nc2cnc(N)cn2)sc1C; ['Cc1nc(N)sc1C', 'Cc1nc(N)sc1C', 'Cc1nc(Br)sc1C', 'Cc1nc(Cl)sc1C']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(N)cn1']; [0.9990463852882385, 0.9879321455955505, 0.9825791120529175, 0.8682761788368225]
+Cc1cc(Nc2cnc(N)cn2)nn1C; ['Cc1cc(N)nn1C', 'Cc1cc(N)nn1C', 'Cc1cc(Cl)nn1C', 'Cc1cc(N)nn1C']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(F)cn1']; [0.9953089952468872, 0.982835590839386, 0.9784591197967529, 0.9732862710952759]
+COc1cc(F)c(-c2cnc(N)cn2)cc1OC; [None]; [None]; [0]
 Nc1cnc(-c2cc(N)nc3[nH]ccc23)cn1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)cn2)c(OC)cc1Br; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnccn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.999996542930603, 0.9997434616088867, 0.9992082118988037, 0.9981240630149841, 0.9966506958007812, 0.9935750961303711, 0.9057188034057617, 0.8480899930000305, 0.8302137851715088]
+Cc1csc2c(-c3cnc(N)cn3)ncnc12; [None]; [None]; [0]
+Nc1cnc(NC(=O)c2ccco2)cn1; ['NC(=O)c1ccco1', 'NC(=O)c1ccco1']; ['Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9915404319763184, 0.9868935346603394]
+CCNC(=O)c1ccc(-c2cnc(N)cn2)nc1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
 Nc1cnc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cn1; [None]; [None]; [0]
+Nc1cnc(Cc2ccc(S(=O)(=O)CCO)cc2)cn1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnc(N)cn2)CC1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cnc(N)cn1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cnc(N)cn2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cnc(N)cn2)cc1; [None]; [None]; [0]
+Nc1cnc(-c2ccc3cn[nH]c3c2)cn1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Brc1ccc2cn[nH]c2c1', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'Brc1ccc2cn[nH]c2c1', 'Nc1cnccn1']; ['Nc1cnc(Br)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1cnc(Br)cn1', 'OB(O)c1ccc2cn[nH]c2c1']; [0.999998927116394, 0.9999979734420776, 0.9999858736991882, 0.9999109506607056, 0.9996216893196106, 0.9960172772407532, 0.9346534013748169]
+CCn1cc(-c2cnc(N)cn2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999879598617554, 0.9997633695602417, 0.9994243383407593]
+COc1ccc2oc(-c3cnc(N)cn3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(B(O)O)cc2c1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9996839761734009, 0.9977786540985107]
+CC(C)(C)c1ccc(C(=O)Nc2cnc(N)cn2)cc1; ['CC(C)(C)c1ccc(C(N)=O)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1', 'CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1']; ['Nc1cnc(Cl)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(F)cn1']; [0.9989690780639648, 0.9986430406570435, 0.9986358880996704, 0.9969727993011475, 0.9427793025970459]
+CCNC(=O)N1CCC(c2cnc(N)cn2)CC1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cnc(N)cn1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999964237213135, 0.9999523162841797]
+CNC(=O)c1ccc(OC)c(-c2cnc(N)cn2)c1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['CNC(=O)c1ccc(OC)c(Br)c1', 'Nc1cnc(Br)cn1']; [0.9999875426292419, 0.9962626099586487]
+Nc1cnc(-c2cc3ccccc3o2)cn1; ['Nc1cnc(Br)cn1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'Nc1cnc(Cl)cn1']; ['OB(O)c1cc2ccccc2o1', 'Nc1cnc(Cl)cn1', 'OB(O)c1cc2ccccc2o1']; [0.9996992349624634, 0.9966871738433838, 0.9957966804504395]
+Nc1cnc(-c2ccc(OC(F)(F)F)cc2)cn1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Nc1cnc(Br)cn1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1cnc(Cl)cn1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'FC(F)(F)Oc1ccc(Br)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1cnc(Cl)cn1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1cnc(Br)cn1', 'Nc1cnccn1']; [1.0, 1.0, 0.9999995827674866, 0.9999988079071045, 0.9999884366989136, 0.9999697804450989, 0.9990697503089905]
+C[NH+](C)Cc1ccc(-c2cnc(N)cn2)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cnc(N)cn1; [None]; [None]; [0]
+COc1ccc2nc(-c3cnc(N)cn3)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1']; ['Nc1cnc(C=O)cn1', 'Nc1cnc(C(=O)O)cn1']; [0.9964650869369507, 0.9923975467681885]
+Nc1cnc(-c2ncc3sccc3n2)cn1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cnc(N)cn2)c1; ['COc1ccc(F)c(C(N)=O)c1', 'COc1ccc(F)c(C(=O)O)c1', 'COc1ccc(F)c(C(N)=O)c1', 'COc1ccc(F)c(C(N)=O)c1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(F)cn1']; [0.9997855424880981, 0.9996469616889954, 0.9995524883270264, 0.9046072959899902]
+Nc1cnc(-c2cc(-c3cccnc3)ccn2)cn1; [None]; [None]; [0]
+Nc1cnc(-c2cccc(NC(=O)N3CCCC3)c2)cn1; [None]; [None]; [0]
+CCc1cccc(-c2cnc(N)cn2)n1; ['CCc1cccc(Br)n1']; ['Nc1cnc(Br)cn1']; [0.9741133451461792]
+CN(C)c1ccc(-c2cnc(N)cn2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(Br)cn1']; ['Nc1cnc(Br)cn1', 'CN(C)c1ccc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999991655349731, 0.9999969601631165, 0.9999938607215881, 0.9999527931213379, 0.9994527101516724, 0.9982381463050842, 0.9919853210449219]
+Cn1ncc2cc(-c3cnc(N)cn3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1cnc(Br)cn1', 'Cn1ncc2cc(Br)ccc21', 'Nc1cnc(I)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [1.0, 1.0, 1.0, 0.9999997615814209, 0.9999974370002747, 0.9999972581863403, 0.9999175071716309, 0.9990864396095276, 0.9946720600128174]
+Cc1n[nH]c2cc(-c3cnc(N)cn3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12']; ['Nc1cnc(Br)cn1', 'Cc1n[nH]c2cc(Br)ccc12', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [1.0, 1.0, 0.9999997019767761, 0.9999853372573853]
+Cc1cc(-c2cnc(N)cn2)cc(C)c1OCCO; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cnc(N)cn3)[nH]c2c1; [None]; [None]; [0]
-Nc1cnc(-c2ncn3c2CCCC3)cn1; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cnc(N)cn3)ccc21; [None]; [None]; [0]
-Nc1cnc(NC(=O)c2cccc(OC(F)(F)F)c2)cn1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cnc(N)cn3)cn2)CC1; [None]; [None]; [0]
+Nc1cnc(-c2ncn3c2CCCC3)cn1; [None]; [None]; [0]
+Nc1cnc(NC(=O)c2cccc(OC(F)(F)F)c2)cn1; ['Nc1cnc(N)cn1', 'NC(=O)c1cccc(OC(F)(F)F)c1', 'Nc1cnc(N)cn1', 'NC(=O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'Nc1cnc(Br)cn1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(F)cn1']; [0.9999647736549377, 0.9997063875198364, 0.9994338750839233, 0.9994307160377502, 0.9246445894241333]
+Nc1cnc(-c2cccc(N3CCCC3=O)c2)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnccn1']; ['O=C1CCCN1c1cccc(Br)c1', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999985098838806, 0.9999983906745911, 0.999994158744812, 0.9999891519546509, 0.9985712766647339, 0.9907844066619873]
+Nc1cnc(-c2ccc(CCO)cc2)cn1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Cl)cn1']; ['Nc1cnc(Br)cn1', 'Nc1cnc(I)cn1', 'OCCc1ccc(Br)cc1', 'Nc1cnc(Cl)cn1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Br)cc1']; [0.9999967813491821, 0.9999848008155823, 0.9999834895133972, 0.9999324679374695, 0.9998874068260193, 0.9981023073196411, 0.9947844743728638, 0.9826462864875793]
 Cc1ncc(-c2ccc(-c3cnc(N)cn3)cc2)n1C; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc(N)cn2)c(Cl)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc(N)cn2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['Nc1cnc(Br)cn1', 'CNC(=O)c1ccc(Br)c(OC)c1', 'Nc1cnc(I)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999864101409912, 0.9999823570251465, 0.9999589920043945, 0.9996322393417358, 0.9943100214004517]
+COc1cc(S(C)(=O)=O)ccc1-c1cnc(N)cn1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['COc1cc(S(C)(=O)=O)ccc1Br', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnccn1']; [0.9999993443489075, 0.9978200197219849, 0.9958400726318359, 0.9545398950576782]
+CCNC(=O)c1ccc(-c2cnc(N)cn2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'CCNC(=O)c1ccc(Br)cc1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(Br)cn1']; [0.9999752044677734, 0.999908447265625, 0.9999083876609802, 0.9926726222038269]
 COc1cc(-c2cnn(C)c2)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cnc(N)cn1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cnc(N)cn2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1', 'CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1cnc(Br)cn1', 'Nc1cnccn1']; [0.9979726672172546, 0.9239587187767029]
+CN(C)C(=O)c1ccc(-c2cnc(N)cn2)nc1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CN(C)C(=O)c1ccc(Br)nc1']; ['CN(C)C(=O)c1ccc(Cl)nc1', 'Nc1cnc(Br)cn1']; [0.9999092817306519, 0.869292140007019]
+Cc1cc(Nc2cnc(N)cn2)ncc1F; ['Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(Br)ncc1F', 'Cc1cc(Cl)ncc1F', 'Cc1cc(N)ncc1F']; ['Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(F)cn1']; [0.9981908202171326, 0.9957469701766968, 0.9905879497528076, 0.929812490940094, 0.9012933969497681]
+Nc1cnc(Nc2ccc(F)cn2)cn1; ['Fc1ccc(Br)nc1', 'Nc1ccc(F)cn1', 'Fc1ccc(Cl)nc1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1']; ['Nc1cnc(N)cn1', 'Nc1cnc(Br)cn1', 'Nc1cnc(N)cn1', 'Nc1cnc(Cl)cn1', 'Nc1cnc(I)cn1', 'Nc1cnc(F)cn1']; [0.9909070730209351, 0.9858001470565796, 0.9705549478530884, 0.9536471366882324, 0.9071592092514038, 0.7747569680213928]
+Nc1cnc(Nc2ccccn2)cn1; ['Nc1ccccn1', 'Nc1cnc(N)cn1', 'Clc1ccccn1']; ['Nc1cnc(Br)cn1', 'O=S(=O)(Oc1ccccn1)C(F)(F)F', 'Nc1cnc(N)cn1']; [0.9381294250488281, 0.9378414750099182, 0.8780920505523682]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnc(N)cn2)c1; ['CC1(C)OB(c2cnc(N)cn2)OC1(C)C', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'Nc1cnc(Br)cn1', 'Nc1cnc(Cl)cn1']; [0.9999985098838806, 0.9936589002609253, 0.9882887601852417]
 Cn1nc(-c2cnc(N)cn2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2cnc(N)cn2)ncc1F; [None]; [None]; [0]
-Oc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cnc(N)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cnc(N)cn2)c1; [None]; [None]; [0]
+Oc1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 c1cc(-c2cnc3[nH]c4cnccc4c3c2)c2cccnc2c1; [None]; [None]; [0]
-CCc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 Oc1cc(-c2cnc3[nH]c4cnccc4c3c2)ccc1Cl; [None]; [None]; [0]
+Clc1ccc2c(c1-c1cnc3[nH]c4cnccc4c3c1)OCO2; [None]; [None]; [0]
 c1ccc2c(-c3cnc4[nH]c5cnccc5c4c3)n[nH]c2c1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 Clc1cccc(Cl)c1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
-Cn1c(-c2cnc3[nH]c4cnccc4c3c2)nc2ccccc21; [None]; [None]; [0]
 Fc1ccc(Oc2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(F)c1; [None]; [None]; [0]
 Oc1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 Nc1nccc(-c2cnc3[nH]c4cnccc4c3c2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnc4[nH]c5cnccc5c4c3)cc2[nH]1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(F)c1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 Clc1[nH]ncc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3cnc4[nH]c5cnccc5c4c3)cc2)c(O)c1; [None]; [None]; [0]
 COc1cc(-c2cnc3[nH]c4cnccc4c3c2)ccc1O; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)o1; [None]; [None]; [0]
-COc1cc(CCc2cnc3[nH]c4cnccc4c3c2)ccc1O; [None]; [None]; [0]
-Clc1cccc(OCc2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 Brc1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
+COc1cc(CCc2cnc3[nH]c4cnccc4c3c2)ccc1O; [None]; [None]; [0]
+c1ccc2cc(-c3cnc4[nH]c5cnccc5c4c3)ccc2c1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1F; [None]; [None]; [0]
+Cn1cc(-c2cnc3[nH]c4cnccc4c3c2)c2ccccc21; [None]; [None]; [0]
+c1cnn2ncc(-c3cnc4[nH]c5cnccc5c4c3)c2c1; [None]; [None]; [0]
 Oc1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(O)c1; [None]; [None]; [0]
+c1cc2c(-c3cnc4[nH]c5cnccc5c4c3)c[nH]c2cn1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
-c1cnn2ncc(-c3cnc4[nH]c5cnccc5c4c3)c2c1; [None]; [None]; [0]
+Nc1cc(-c2cnc3[nH]c4cnccc4c3c2)ccn1; [None]; [None]; [0]
 Clc1ccccc1OCc1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 Fc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
-Clc1ccc(CCc2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 Oc1ccc(Cl)c(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cnc3[nH]c4cnccc4c3c1)OCO2; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 Oc1ncc(-c2cnc3[nH]c4cnccc4c3c2)cc1Cl; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnc3[nH]c4cnccc4c3c2)c[nH]1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 COc1cc(OC)cc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cnc3[nH]c4cnccc4c3c2)c[nH]1; [None]; [None]; [0]
 COc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1OC; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3cnc4[nH]c5cnccc5c4c3)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-c3cnc4[nH]c5cnccc5c4c3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 c1cc2c(cn1)[nH]c1ncc(-c3cnc4[nH]ccc4c3)cc12; [None]; [None]; [0]
+COc1cc(CCc2cnc3[nH]c4cnccc4c3c2)cc(OC)c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-c1ccc2sc(-c3cnc4[nH]c5cnccc5c4c3)nc2c1; [None]; [None]; [0]
 Oc1cncc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 O=C1Cc2cc(-c3cnc4[nH]c5cnccc5c4c3)ccc2N1; [None]; [None]; [0]
+c1ccc2sc(-c3cnc4[nH]c5cnccc5c4c3)nc2c1; [None]; [None]; [0]
 C[C@H](CC(N)=O)c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 CNc1nccc(-c2cnc3[nH]c4cnccc4c3c2)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cnc4[nH]c5cnccc5c4c3)ccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnc3[nH]c4cnccc4c3c2)c1C; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+FC(F)c1cc(-c2cnc3[nH]c4cnccc4c3c2)[nH]n1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Clc1cnccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 CCc1sccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 Oc1c(Cl)cc(-c2cnc3[nH]c4cnccc4c3c2)cc1Cl; [None]; [None]; [0]
 c1cc2c(cn1)[nH]c1ncc(-c3ccc4c(c3)CCN4)cc12; [None]; [None]; [0]
-Oc1cc(-c2cnc3[nH]c4cnccc4c3c2)nc2ccnn12; [None]; [None]; [0]
+CNc1nc(-c2cnc3[nH]c4cnccc4c3c2)ncc1F; [None]; [None]; [0]
 Cc1oc(-c2cnc3[nH]c4cnccc4c3c2)cc1C(=O)[O-]; [None]; [None]; [0]
 O=c1[nH]c2ccc(-c3cnc4[nH]c5cnccc5c4c3)cc2[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Oc1cc(-c2cnc3[nH]c4cnccc4c3c2)nc2ccnn12; [None]; [None]; [0]
 c1cc(Nc2cnc3[nH]c4cnccc4c3c2)ccn1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 Fc1ccc2n[nH]c(-c3cnc4[nH]c5cnccc5c4c3)c2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnc3[nH]c4cnccc4c3c2)c1C; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-CN(c1cnc2[nH]c3cnccc3c2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 Oc1cc(Br)cc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
+CN(c1cnc2[nH]c3cnccc3c2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 O=C(NC1CC1)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]c4cnccc4c3c2)ccc1C(N)=O; [None]; [None]; [0]
 Cc1nc2ccc(-c3cnc4[nH]c5cnccc5c4c3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2cnc3[nH]c4cnccc4c3c2)cc(C)c1O; [None]; [None]; [0]
+Cc1cc(-c2cnc3[nH]c4cnccc4c3c2)ccc1C(N)=O; [None]; [None]; [0]
 Oc1c(F)cc(-c2cnc3[nH]c4cnccc4c3c2)cc1F; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3cnc4[nH]c5cnccc5c4c3)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 CSc1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
-c1ccc(COc2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-c1ccc2c(CCc3cnc4[nH]c5cnccc5c4c3)c[nH]c2c1; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3cnc4[nH]c5cnccc5c4c3)ccc12; [None]; [None]; [0]
 c1ccc2c(COc3cnc4[nH]c5cnccc5c4c3)cccc2c1; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 Fc1ccc(Oc2cnc3[nH]c4cnccc4c3c2)c(F)c1; [None]; [None]; [0]
-Fc1ccccc1Oc1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Fc1ccc(-c2ncoc2-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+c1ccc2c(CCc3cnc4[nH]c5cnccc5c4c3)c[nH]c2c1; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(Cl)c1; [None]; [None]; [0]
 Clc1ccc(-c2[nH]ncc2-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 Fc1ccc(COc2cnc3[nH]c4cnccc4c3c2)c(F)c1; [None]; [None]; [0]
-Fc1ccc(CCc2cnc3[nH]c4cnccc4c3c2)c(F)c1; [None]; [None]; [0]
 Fc1cccc(Cl)c1CNc1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Fc1ccc(CCc2cnc3[nH]c4cnccc4c3c2)c(F)c1; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 CCOc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 c1ccc2nc(-c3cnc4[nH]c5cnccc5c4c3)ncc2c1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 COc1ncccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 COc1cc(-c2cnc3[nH]c4cnccc4c3c2)cc(OC)c1OC; [None]; [None]; [0]
 Cc1ccc2ncn(-c3cnc4[nH]c5cnccc5c4c3)c2c1; [None]; [None]; [0]
 c1cnn2c(-c3cnc4[nH]c5cnccc5c4c3)cnc2c1; [None]; [None]; [0]
-Oc1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 COc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1)C1CC1; [None]; [None]; [0]
 c1cc2c(cn1)[nH]c1ncc(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1)C1CC1; [None]; [None]; [0]
 c1ccc2[nH]c(-c3cnc4[nH]c5cnccc5c4c3)nc2c1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4[nH]c5cnccc5c4c3)cc2)CC1; [None]; [None]; [0]
 Cc1cc(Nc2cnc3[nH]c4cnccc4c3c2)sn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cn1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4[nH]c5cnccc5c4c3)cc2)CC1; [None]; [None]; [0]
+c1ccc2c(-c3cnc4[nH]c5cnccc5c4c3)nccc2c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 c1cnc(Nc2cnc3[nH]c4cnccc4c3c2)nc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cnc4[nH]c5cnccc5c4c3)cn2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-c1ccc2c(Cc3cnc4[nH]c5cnccc5c4c3)nccc2c1; [None]; [None]; [0]
 OCCOc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-O=C(c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1)N1CCOCC1; [None]; [None]; [0]
 c1cc(-c2cnc3[nH]c4cnccc4c3c2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-O=C(c1ccc(-c2cnc3[nH]c4cnccc4c3c2)nc1)N1CCOCC1; [None]; [None]; [0]
-c1cc(Nc2cnc3[nH]c4cnccc4c3c2)ncn1; [None]; [None]; [0]
+O=C(c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1)N1CCOCC1; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+c1cc(Nc2cnc3[nH]c4cnccc4c3c2)ncn1; [None]; [None]; [0]
+O=C(c1ccc(-c2cnc3[nH]c4cnccc4c3c2)nc1)N1CCOCC1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3cnc4[nH]c5cnccc5c4c3)cc2C1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 Cc1nc(C)c(-c2cnc3[nH]c4cnccc4c3c2)s1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2cnc3[nH]c4cnccc4c3c2)CC1; [None]; [None]; [0]
 O=C(c1ccccc1)N1CC[C@H](c2cnc3[nH]c4cnccc4c3c2)C1; [None]; [None]; [0]
-Nc1ncc(Cc2cnc3[nH]c4cnccc4c3c2)cn1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 CC(C)c1cc(-c2cnc3[nH]c4cnccc4c3c2)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cnc4[nH]c5cnccc5c4c3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cnc3[nH]c4cnccc4c3c2)nc1; [None]; [None]; [0]
-Brc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 CN(C)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1Cl; [None]; [None]; [0]
+Brc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+c1cc2c(cn1)[nH]c1ncc(-c3ccn4nccc4n3)cc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
-COc1ccc(Cc2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 c1ccc2c(-c3cnc4[nH]c5cnccc5c4c3)c[nH]c2c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnc3[nH]c4cnccc4c3c2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cnc4[nH]c5cnccc5c4c3)[nH]c2c1; [None]; [None]; [0]
-c1ccc2cc(-c3cnc4[nH]c5cnccc5c4c3)ncc2c1; [None]; [None]; [0]
 c1cc2c(cn1)[nH]c1ncc(-c3ccc4c(c3)CCO4)cc12; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cnc4[nH]c5cnccc5c4c3)n[nH]2)cc1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cnc3[nH]c4cnccc4c3c2)cc1Cl; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+c1ccc(-c2cc(-c3cnc4[nH]c5cnccc5c4c3)n[nH]2)cc1; [None]; [None]; [0]
 c1cc2c(c(-c3cnc4[nH]c5cnccc5c4c3)c1)OCO2; [None]; [None]; [0]
-c1cc2c(cn1)[nH]c1ncc(-c3scc4c3OCCO4)cc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-c1ccc2ncc(-c3cnc4[nH]c5cnccc5c4c3)cc2c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cn1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cnc4[nH]c5cnccc5c4c3)nc2c1F; [None]; [None]; [0]
+c1ccc2ncc(-c3cnc4[nH]c5cnccc5c4c3)cc2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+c1cc2c(cn1)[nH]c1ncc(-c3scc4c3OCCO4)cc12; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](c2cnc3[nH]c4cnccc4c3c2)CC1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cn1; [None]; [None]; [0]
+Nc1nc(-c2cnc3[nH]c4cnccc4c3c2)cs1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3cnc4[nH]c5cnccc5c4c3)n2)c1; [None]; [None]; [0]
 CC1(COc2cnc3[nH]c4cnccc4c3c2)COC1; [None]; [None]; [0]
+CSc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3cnc4[nH]c5cnccc5c4c3)cc2)CC1; [None]; [None]; [0]
+c1ccc2sc(-c3cnc4[nH]c5cnccc5c4c3)cc2c1; [None]; [None]; [0]
 Cc1cc(-c2cnc3[nH]c4cnccc4c3c2)nc(N)n1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+Fc1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(Cl)c1; [None]; [None]; [0]
+CCc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+O=C1CCc2cc(-c3cnc4[nH]c5cnccc5c4c3)ccc2N1; [None]; [None]; [0]
 Brc1cnc(-c2cnc3[nH]c4cnccc4c3c2)nc1; [None]; [None]; [0]
+O=C(C1CC1)N1CC(Nc2cnc3[nH]c4cnccc4c3c2)C1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 COc1ccc(CNc2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 Clc1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(Cl)c1; [None]; [None]; [0]
-c1cc2c(cn1)[nH]c1ncc(CCCn3cncn3)cc12; [None]; [None]; [0]
-O=C(C1CC1)N1CC(Nc2cnc3[nH]c4cnccc4c3c2)C1; [None]; [None]; [0]
-c1cc2cnc(-c3cnc4[nH]c5cnccc5c4c3)nn2c1; [None]; [None]; [0]
 COc1cc(-c2cnc3[nH]c4cnccc4c3c2)ccc1N1CCOCC1; [None]; [None]; [0]
-c1ccn2nc(-c3cnc4[nH]c5cnccc5c4c3)cc2c1; [None]; [None]; [0]
 Cn1cc(-c2cnc3[nH]c4cnccc4c3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
+c1cc2cnc(-c3cnc4[nH]c5cnccc5c4c3)nn2c1; [None]; [None]; [0]
+c1ccn2nc(-c3cnc4[nH]c5cnccc5c4c3)cc2c1; [None]; [None]; [0]
 CC1(C)Cc2cc(-c3cnc4[nH]c5cnccc5c4c3)ccc2O1; [None]; [None]; [0]
 COc1ccc2cccc(-c3cnc4[nH]c5cnccc5c4c3)c2c1; [None]; [None]; [0]
 Oc1ccc2cccc(-c3cnc4[nH]c5cnccc5c4c3)c2c1; [None]; [None]; [0]
 COc1cc(F)c(-c2cnc3[nH]c4cnccc4c3c2)cc1OC; [None]; [None]; [0]
 COc1cc(-c2cnc3[nH]c4cnccc4c3c2)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2cnc3[nH]c4cnccc4c3c2)cn1; [None]; [None]; [0]
 Clc1cnc(-c2cnc3[nH]c4cnccc4c3c2)nc1; [None]; [None]; [0]
 Cc1csc2c(-c3cnc4[nH]c5cnccc5c4c3)ncnc12; [None]; [None]; [0]
 Cc1nc(Nc2cnc3[nH]c4cnccc4c3c2)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2cnc3[nH]c4cnccc4c3c2)nn1C; [None]; [None]; [0]
 Nc1cc(-c2cnc3[nH]c4cnccc4c3c2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1cc(-c2cnc3[nH]c4cnccc4c3c2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
+Cc1cc(Nc2cnc3[nH]c4cnccc4c3c2)nn1C; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)nc1; [None]; [None]; [0]
 NC(=O)c1ccc(Cc2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 O=C(Nc1cnc2[nH]c3cnccc3c2c1)c1ccco1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnc3[nH]c4cnccc4c3c2)CC1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2cnc3[nH]c4cnccc4c3c2)CC1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnc3[nH]c4cnccc4c3c2)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cnc3[nH]c4cnccc4c3c1)cn2C; [None]; [None]; [0]
-COc1ccc2oc(-c3cnc4[nH]c5cnccc5c4c3)cc2c1; [None]; [None]; [0]
 c1cc2c(cn1)[nH]c1ncc(-c3ccc4cn[nH]c4c3)cc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+COc1ccc2oc(-c3cnc4[nH]c5cnccc5c4c3)cc2c1; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-CCn1cc(-c2cnc3[nH]c4cnccc4c3c2)cn1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
-c1ccc2oc(-c3cnc4[nH]c5cnccc5c4c3)cc2c1; [None]; [None]; [0]
+CCn1cc(-c2cnc3[nH]c4cnccc4c3c2)cn1; [None]; [None]; [0]
 c1cncc(-c2ccnc(-c3cnc4[nH]c5cnccc5c4c3)c2)c1; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+c1ccc2oc(-c3cnc4[nH]c5cnccc5c4c3)cc2c1; [None]; [None]; [0]
 c1cc2c(cn1)[nH]c1ncc(-c3ncc4sccc4n3)cc12; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1)N1CCCC1; [None]; [None]; [0]
 COc1ccc2nc(-c3cnc4[nH]c5cnccc5c4c3)[nH]c2c1; [None]; [None]; [0]
 FC(F)(F)Oc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]c4cnccc4c3c2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cnc4[nH]c5cnccc5c4c3)[nH]c2c1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 CCc1cccc(-c2cnc3[nH]c4cnccc4c3c2)n1; [None]; [None]; [0]
-c1cc2c(cn1)[nH]c1ncc(-c3ncn4c3CCCC4)cc12; [None]; [None]; [0]
 Cc1cc(-c2cnc3[nH]c4cnccc4c3c2)cc(C)c1OCCO; [None]; [None]; [0]
+c1cc2c(cn1)[nH]c1ncc(-c3ncn4c3CCCC4)cc12; [None]; [None]; [0]
 Cn1ncc2cc(-c3cnc4[nH]c5cnccc5c4c3)ccc21; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cnc4[nH]c5cnccc5c4c3)ccc21; [None]; [None]; [0]
 CN(C)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cn1; [None]; [None]; [0]
@@ -53858,4023 +16439,14729 @@ CC(=O)N1CCC(n2cc(-c3cnc4[nH]c5cnccc5c4c3)cn2)CC1; [None]; [None]; [0]
 O=C1CCCN1c1cccc(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
 OCCc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
 O=C(Nc1cnc2[nH]c3cnccc3c2c1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cnc4[nH]c5cnccc5c4c3)cc2)n1C; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(Cl)c1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
-Cn1nc(-c2cnc3[nH]c4cnccc4c3c2)cc1C(C)(C)O; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(OC)c1; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)c(OC)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]c4cnccc4c3c2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cnc3[nH]c4cnccc4c3c2)cc1; [None]; [None]; [0]
+Cn1nc(-c2cnc3[nH]c4cnccc4c3c2)cc1C(C)(C)O; [None]; [None]; [0]
 Fc1ccc(Nc2cnc3[nH]c4cnccc4c3c2)nc1; [None]; [None]; [0]
-Cc1cc(Nc2cnc3[nH]c4cnccc4c3c2)ncc1F; [None]; [None]; [0]
-c1ccc(Nc2cnc3[nH]c4cnccc4c3c2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1Br']; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1I', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999973773956299, 0.9999937415122986, 0.9999656677246094, 0.9999509453773499, 0.9999101758003235, 0.9997918605804443, 0.9950121641159058, 0.9653383493423462]
+CCOc1ccccc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCOc1ccccc1Cl', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Br']; ['CCOc1ccccc1Br', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'CCOc1ccccc1Cl', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.9999831914901733, 0.9999266862869263, 0.9998964071273804, 0.9995722770690918, 0.9993822574615479, 0.9992772936820984, 0.9992318749427795, 0.9989778399467468, 0.9935754537582397, 0.9922707080841064, 0.991479754447937, 0.8290602564811707]
 CS(=O)(=O)c1ccc(Cl)c(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
+Cc1cc(Nc2cnc3[nH]c4cnccc4c3c2)ncc1F; [None]; [None]; [0]
+COC(C)(C)CCc1ccc(N)nc1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cnc3[nH]c4cnccc4c3c2)c1; [None]; [None]; [0]
+c1ccc(Nc2cnc3[nH]c4cnccc4c3c2)nc1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc(N)nc2)[nH]1; [None]; [None]; [0]
+Nc1ccc(Cc2cc(F)cc(F)c2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Fc1cc(F)cc(C[Zn]Br)c1', 'CC1(C)OB(c2cc(F)cc(F)c2)OC1(C)C', 'Fc1cc(F)cc(CBr)c1', 'Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1', 'Fc1cc(F)cc(CBr)c1']; ['Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(CBr)c1', 'Nc1ccc(I)cn1', 'Nc1ccc(CCl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999862909317017, 0.9998573660850525, 0.9998070001602173, 0.9997854232788086, 0.9993913173675537, 0.9992752075195312, 0.9955008625984192, 0.9940799474716187, 0.9683018922805786]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc(N)nc1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999774694442749, 0.999846339225769, 0.9996471405029297, 0.9995967149734497, 0.9874898195266724, 0.9121971726417542]
 Cc1ccc(C(=O)NCCO)cc1-c1cnc2[nH]c3cnccc3c2c1; [None]; [None]; [0]
+CCn1cc(-c2ccc(N)nc2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(Cl)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1']; ['Nc1ccc(I)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; [0.9999935626983643, 0.9999917149543762, 0.9999760389328003, 0.9999754428863525, 0.9999479651451111, 0.9999399781227112, 0.9999074935913086, 0.9999039173126221, 0.9997256994247437, 0.9993098974227905, 0.9988497495651245]
+Nc1ccc(-c2ccnc3ccccc23)cn1; ['Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Nc1ccc(I)cn1', 'Ic1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'CCCC[Sn](CCCC)(CCCC)c1ccnc2ccccc12', 'Brc1ccnc2ccccc12']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Ic1ccnc2ccccc12', 'Nc1ccc(I)cn1', 'Clc1ccnc2ccccc12', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'OB(O)c1ccnc2ccccc12', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999927878379822, 0.9999566078186035, 0.9999285936355591, 0.9997689723968506, 0.9996907711029053, 0.9995381832122803, 0.9989784359931946, 0.9987801313400269, 0.9916314482688904, 0.9820805788040161, 0.9379845857620239, 0.87910395860672, 0.8581351041793823]
+CP(C)(=O)c1ccccc1-c1ccc(N)nc1; [None]; [None]; [0]
+Nc1ccc(-c2cccc(C(F)(F)F)c2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'FC(F)(F)c1cccc(I)c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(Br)c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'FC(F)(F)c1cccc(Cl)c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'FC(F)(F)c1cccc(I)c1', 'Nc1ccc(Cl)cn1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Cl)c1']; ['FC(F)(F)c1cccc(Br)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'FC(F)(F)c1cccc(I)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'O=S(=O)(Oc1cccc(C(F)(F)F)c1)C(F)(F)F', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Cl)c1', 'Nc1ccc(Br)cn1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; [0.9999962449073792, 0.9999961853027344, 0.9999960064888, 0.9999952912330627, 0.9999908804893494, 0.9999902248382568, 0.9999899864196777, 0.9999662637710571, 0.999947190284729, 0.9999260902404785, 0.9999104738235474, 0.9999064207077026, 0.9998981952667236, 0.9932143688201904, 0.938147783279419]
+Nc1ccc(-c2ccccc2OC(F)(F)F)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1Br', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'FC(F)(F)Oc1ccccc1I', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'FC(F)(F)Oc1ccccc1Cl', 'Nc1ccc(Cl)cn1', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1']; ['FC(F)(F)Oc1ccccc1Br', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'FC(F)(F)Oc1ccccc1I', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'FC(F)(F)Oc1ccccc1Cl', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999984502792358, 0.9999834895133972, 0.9999819397926331, 0.9999778866767883, 0.9999290704727173, 0.9999265670776367, 0.9999014735221863, 0.9998687505722046, 0.9998114109039307, 0.9993377327919006, 0.9991000890731812, 0.9978008270263672, 0.9967920184135437, 0.9720687866210938, 0.8446698784828186]
+Cn1cnc2ccc(-c3ccc(N)nc3)cc2c1=O; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O']; ['Cn1cnc2ccc(Br)cc2c1=O', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999980926513672, 0.9999874830245972, 0.9928634166717529]
+Nc1ccc(-c2cnn(Cc3ccccc3)c2)cn1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'Brc1cnn(Cc2ccccc2)c1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(I)cn1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999934434890747, 0.9999907612800598, 0.9999902248382568, 0.9999881386756897, 0.999975323677063, 0.999962568283081, 0.9999617338180542, 0.9998903274536133, 0.9998771548271179]
+NC(=O)c1ccccc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1B(O)O', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; ['NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999584555625916, 0.9998739957809448, 0.9998066425323486, 0.9997856616973877, 0.9997535347938538, 0.9994412660598755, 0.9990899562835693, 0.9979226589202881, 0.9978624582290649, 0.9899109601974487, 0.9449408054351807, 0.9218260645866394]
+Nc1ccc(-c2cnn(CCO)c2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(I)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(I)cn1', 'OCCn1cc(I)cn1', 'OCCn1cc(Cl)cn1', 'Nc1ccc(Br)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1']; [0.9999936819076538, 0.9999910593032837, 0.9999855756759644, 0.9999837875366211, 0.9999759197235107, 0.9999678730964661, 0.9999263286590576, 0.9999129772186279, 0.999750018119812, 0.9997000694274902, 0.9995899200439453, 0.9993038177490234, 0.8250159025192261]
+Nc1ccc(-c2ccccc2C(=O)[O-])cn1; [None]; [None]; [0]
+Nc1ccc(-c2cnc(-c3ccccc3)[nH]2)cn1; [None]; [None]; [0]
+CC(C)C(=O)COc1ccc(N)nc1; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Nc1ccc(O)cn1', 'Nc1ccc(O)cn1']; [0.9835445284843445, 0.7824629545211792]
+Nc1ccc(-c2cc(Cl)ccc2Cl)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)c(Br)c1', 'Nc1ccc(Cl)cn1']; ['Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Cl)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999903440475464, 0.9999740123748779, 0.9999345541000366, 0.9999046325683594, 0.9998730421066284, 0.9996875524520874, 0.999363899230957, 0.9990194439888, 0.997469425201416, 0.9970141649246216, 0.9841700792312622, 0.9721492528915405, 0.8758435249328613]
+COc1cnc(-c2ccc(N)nc2)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cnc(Cl)nc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'Nc1ccc(B(O)O)cn1']; [0.999929666519165, 0.9995876550674438, 0.9967358112335205]
+Nc1ccc(-c2cccc(NC(=O)c3ccccc3)c2)cn1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999979734420776, 0.999996542930603, 0.9999899864196777, 0.9999894499778748, 0.9997676610946655]
+Cc1ccc(-c2ccc(N)nc2)c(Br)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; [0.9999837279319763, 0.9999546408653259, 0.9998778104782104, 0.9995129108428955, 0.9975472688674927, 0.9797567129135132, 0.9783214330673218, 0.9774368405342102]
+Cc1nc2ccccn2c1-c1ccc(N)nc1; ['Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1', 'Cc1nc2ccccn2c1Br']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Cc1nc2ccccn2c1Br', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999823570251465, 0.9999779462814331, 0.9999775886535645, 0.9999731779098511, 0.9999628663063049, 0.9993823766708374, 0.9876936674118042]
+CC(C)(C)c1nc(-c2ccc(N)nc2)cs1; [None]; [None]; [0]
+Nc1ccc(-c2cnc3ccccn23)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Nc1ccc(B(O)O)cn1', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1']; ['Ic1cnc2ccccn12', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'c1ccn2ccnc2c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999971389770508, 0.9999966621398926, 0.9999942183494568, 0.9999628067016602, 0.9999216794967651, 0.9999211430549622, 0.9998787641525269, 0.9985876679420471, 0.9843174815177917, 0.7969951629638672]
+Nc1ccc(-c2cnc3cccnn23)cn1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Nc1ccc(Br)cn1']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'c1cnn2ccnc2c1']; [0.9999982714653015, 0.99998939037323, 0.9932535886764526]
+Cc1nc(C)c(-c2ccc(N)nc2)s1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1nc(C)c(Br)s1', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(Br)s1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1']; [0.9999979734420776, 0.9999862313270569, 0.9999815225601196, 0.9999532699584961, 0.9948619604110718, 0.9918186664581299]
+Cc1nc(N)sc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1nc(N)sc1Br', 'Cc1csc(N)n1']; ['Cc1nc(N)sc1Br', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999991655349731, 0.9999852180480957, 0.9886609315872192]
+Nc1ccc(-c2cccc(Cn3cncn3)c2)cn1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccc(N)nc2)s1; ['CNc1nc(C)cs1']; ['Nc1ccc(Br)cn1']; [0.990019679069519]
+Nc1ccc(NCc2cccnc2)cn1; ['NCc1cccnc1', 'BrCc1cccnc1', 'ClCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'Nc1ccc(N)nc1', 'NCc1cccnc1', 'Nc1ccc(N)nc1']; ['Nc1ccc(I)cn1', 'Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1ccc(F)cn1', 'Nc1ccc(Br)cn1', 'OCc1cccnc1', 'Nc1ccc(Cl)cn1', 'O=Cc1cccnc1']; [0.999228298664093, 0.9979680776596069, 0.9935135245323181, 0.9895399808883667, 0.9616929292678833, 0.9424729347229004, 0.9088031053543091, 0.8316770195960999]
+Cc1ccc(Cl)c(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1']; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Cc1ccc(Cl)c(Cl)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.999985933303833, 0.9999064207077026, 0.9998719692230225, 0.9998663663864136, 0.999793529510498, 0.9994544982910156, 0.9993529319763184, 0.9992105960845947, 0.9988535642623901, 0.9980859756469727, 0.9957748651504517, 0.9941794872283936, 0.9712940454483032, 0.9024732112884521]
 Nc1ccc(-n2ncc3cccc(F)c3c2=O)cn1; [None]; [None]; [0]
+Nc1ccc(-c2cccc(Br)c2)cn1; ['Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', None, 'Brc1cccc(Br)c1']; ['Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'Nc1ccc(I)cn1', 'Clc1cccc(Br)c1', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', None, 'Nc1ccc(Br)cn1']; [0.9999951124191284, 0.999993085861206, 0.9999861717224121, 0.9999662637710571, 0.9999631643295288, 0.9999332427978516, 0.9999024868011475, 0.9999022483825684, 0.9998677968978882, 0.9994618892669678, 0.9990964531898499, 0.998623251914978, 0.9941617250442505, 0, 0.9150816202163696]
+Nc1ccc(-c2c(Cl)cccc2Cl)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1cccc(Cl)c1Br', 'Nc1ccc(I)cn1', 'Clc1cccc(Cl)c1I', 'Nc1ccc(Br)cn1', 'Clc1cccc(Cl)c1Br', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Cl', 'Nc1ccc(Cl)cn1', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1c(Cl)cccc1Cl', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1c(Cl)cccc1Cl', 'Nc1ccc(I)cn1', 'Clc1cccc(Cl)c1Cl', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1c(Cl)cccc1Cl', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999836087226868, 0.9999366998672485, 0.9998799562454224, 0.999819278717041, 0.9997148513793945, 0.9992859959602356, 0.9991934299468994, 0.9990026950836182, 0.9988700151443481, 0.9956603050231934, 0.9880974292755127, 0.9803889989852905, 0.958992600440979]
+Nc1ccc(-c2ccnc(N)n2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1']; ['Nc1nccc(Br)n1', 'Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9999977946281433, 0.9999897480010986, 0.9999802708625793, 0.9999733567237854, 0.9999492168426514, 0.9997377395629883, 0.9978722333908081, 0.8822119235992432]
+Nc1ccc(Nc2cccnc2)cn1; ['Nc1ccc(Br)cn1', 'Brc1cccnc1', 'Nc1ccc(I)cn1', 'Clc1cccnc1']; ['Nc1cccnc1', 'Nc1ccc(N)nc1', 'Nc1cccnc1', 'Nc1ccc(N)nc1']; [0.901154637336731, 0.898674726486206, 0.8625998497009277, 0.7844439744949341]
+Nc1ccc(NC(=O)c2cccs2)cn1; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9998688697814941, 0.9993953108787537]
+Nc1ccc(NCCc2c[nH]cn2)cn1; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; ['Nc1ccc(I)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc(Br)cn1']; [0.9989637732505798, 0.9865837097167969, 0.970168948173523]
+Nc1ccc(-c2ccc3ccccc3c2)cn1; ['Brc1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1ccc(I)cn1', 'Ic1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Brc1ccc2ccccc2c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Clc1ccc2ccccc2c1', 'Nc1ccc(Cl)cn1', 'Ic1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Nc1ccc(Br)cn1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Clc1ccc2ccccc2c1', 'Nc1ccc(Cl)cn1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Ic1ccc2ccccc2c1', 'Nc1ccc(B(O)O)cn1', 'O=S(=O)(Oc1ccc2ccccc2c1)C(F)(F)F', 'OB(O)c1ccc2ccccc2c1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'c1ccc2ccccc2c1']; [0.9999988079071045, 0.9999963045120239, 0.9999908208847046, 0.9999894499778748, 0.9999874830245972, 0.9999873638153076, 0.9999867677688599, 0.9999830722808838, 0.9999809861183167, 0.9999713897705078, 0.9999642372131348, 0.999935507774353, 0.9998414516448975, 0.9997447729110718, 0.9971059560775757, 0.9481667876243591]
+Nc1ccc(-c2cnn3ncccc23)cn1; ['Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1']; [0.999991774559021, 0.9999783635139465, 0.999972403049469, 0.9999480247497559]
 Cc1c(-c2ccc(N)nc2)sc(=O)n1C; [None]; [None]; [0]
-Nc1ccc(-c2cnn3ncccc23)cn1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc(N)nc2)o1; [None]; [None]; [0]
+Nc1ccc(-n2cnc3ccccc32)cn1; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9993679523468018, 0.996821939945221, 0.9465989470481873]
+Nc1ccc(-c2c[nH]nc2C(F)(F)F)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1I', 'FC(F)(F)c1n[nH]cc1Br', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Cl']; ['FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9999629259109497, 0.9999586939811707, 0.999908447265625, 0.9997625350952148, 0.9997251033782959, 0.9996321201324463, 0.9972294569015503]
+NC(=O)c1c(F)cccc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl']; ['NC(=O)c1c(F)cccc1Br', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9999988079071045, 0.9999891519546509, 0.9999592304229736]
+Nc1ccc(NCCc2ccccc2)cn1; ['NCCc1ccccc1', 'ClCCc1ccccc1', 'BrCCc1ccccc1', 'NCCc1ccccc1', 'Nc1ccc(N)nc1']; ['Nc1ccc(I)cn1', 'Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1ccc(Br)cn1', 'O=CCc1ccccc1']; [0.9634778499603271, 0.9218425154685974, 0.8984273672103882, 0.896325409412384, 0.8170663118362427]
+Nc1ccc(-c2cncc3ccccc23)cn1; ['Brc1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Ic1cncc2ccccc12', 'Brc1cncc2ccccc12', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'Nc1ccc(Br)cn1', 'Clc1cncc2ccccc12', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Ic1cncc2ccccc12', 'Nc1ccc(Cl)cn1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Ic1cncc2ccccc12', 'Nc1ccc(Br)cn1', 'OB(O)c1cncc2ccccc12', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'OB(O)c1cncc2ccccc12', 'Nc1ccc(B(O)O)cn1', 'Clc1cncc2ccccc12', 'Nc1ccc(Br)cn1', 'OB(O)c1cncc2ccccc12']; [0.9999651312828064, 0.9999651312828064, 0.9999298453330994, 0.9998683333396912, 0.9997941255569458, 0.9997901916503906, 0.9995273351669312, 0.9991416931152344, 0.9949352741241455, 0.9946251511573792, 0.9919614195823669, 0.980739951133728, 0.9488798379898071, 0.9230645895004272]
+Cn1cc(-c2ccc(-c3ccc(N)nc3)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(B(O)O)cn1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(-c2ccc(Cl)cc2)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(-c2ccc(Cl)cc2)cn1']; [0.9999997019767761, 0.9999992251396179, 0.9999986886978149, 0.9999985694885254, 0.9999620914459229, 0.9999315142631531, 0.997726321220398, 0.9951055645942688]
 CN1c2ccc(-c3ccc(N)nc3)cc2CS1(=O)=O; [None]; [None]; [0]
+Nc1ccc(NCc2ccc(Cl)cc2)cn1; ['Clc1ccc(CBr)cc1', 'NCc1ccc(Cl)cc1', 'ClCc1ccc(Cl)cc1', 'Nc1ccc(N)nc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'COC(OC)c1ccc(Cl)cc1']; ['Nc1ccc(N)nc1', 'Nc1ccc(I)cn1', 'Nc1ccc(N)nc1', 'OCc1ccc(Cl)cc1', 'Nc1ccc(F)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(N)nc1']; [0.999636173248291, 0.9968276023864746, 0.995488166809082, 0.9662827253341675, 0.9633992910385132, 0.925250768661499, 0.8904166221618652, 0.7559797763824463]
+Nc1ccc(-c2cccc(CC(=O)[O-])c2)cn1; [None]; [None]; [0]
+Nc1ccc(-c2cccc(O)c2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1ccc(Cl)cn1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1ccc(Br)cn1', None, None]; ['Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Nc1ccc(Br)cn1', 'OB(O)c1cccc(O)c1', 'Nc1ccc(I)cn1', 'OB(O)c1cccc(O)c1', None, None]; [0.9999806880950928, 0.9999713897705078, 0.9999603033065796, 0.9998810291290283, 0.9998480081558228, 0.9996463060379028, 0.9995160102844238, 0.999052107334137, 0.9989173412322998, 0, 0]
+Nc1ccc(-c2cccc(CO)c2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', None, None, 'Nc1ccc(Br)cn1']; ['OCc1cccc(Br)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'OCc1cccc(I)c1', 'Nc1ccc(Cl)cn1', 'OCc1cccc(Br)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Cl)c1', 'OCc1cccc(B(O)O)c1', None, None, 'OCc1cccc(Br)c1']; [0.9999889731407166, 0.9999845027923584, 0.9999811053276062, 0.9999803304672241, 0.999946117401123, 0.9999310374259949, 0.9999091029167175, 0.9998908042907715, 0.9986187219619751, 0.9982130527496338, 0.9973664879798889, 0, 0, 0.9609192609786987]
+Nc1ccc(Nc2ccncc2)cn1; ['Nc1ccc(Br)cn1', 'Brc1ccncc1', 'Clc1ccncc1', 'Nc1ccc(Cl)cn1']; ['Nc1ccncc1', 'Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1ccncc1']; [0.9946812987327576, 0.9818152189254761, 0.9754244089126587, 0.8681505918502808]
+Nc1ccc(-c2ccc3c(N)[nH]nc3c2)cn1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(N)nc2)n1; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc(N)nc3)ccc21; [None]; [None]; [0]
+Nc1ccc(-c2ccc(-c3cn[nH]c3)cc2)cn1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Brc1ccc(-c2cn[nH]c2)cc1', 'CC1(C)OB(c2cn[nH]c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(-c2ccc(Cl)cc2)cn1', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Clc1ccc(-c2cn[nH]c2)cc1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(-c2ccc(Cl)cc2)cn1', 'Clc1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1cn[nH]c1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999976754188538, 0.9999944567680359, 0.9999903440475464, 0.9999845027923584, 0.9999819993972778, 0.9999686479568481, 0.9999226331710815, 0.9995933175086975, 0.9993985295295715, 0.9992733001708984, 0.9990671277046204, 0.9987859725952148, 0.9976973533630371, 0.9878218173980713]
+Nc1ccc(NCc2ccccc2F)cn1; ['Fc1ccccc1CCl', 'NCc1ccccc1F', 'Fc1ccccc1CBr', 'COC(OC)c1ccccc1F', 'Nc1ccc(N)nc1', 'NCc1ccccc1F', 'Nc1ccc(N)nc1']; ['Nc1ccc(N)nc1', 'Nc1ccc(I)cn1', 'Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'OCc1ccccc1F', 'Nc1ccc(Br)cn1', 'O=Cc1ccccc1F']; [0.9983837008476257, 0.9982963800430298, 0.9900851249694824, 0.9636424779891968, 0.9574878215789795, 0.9504055976867676, 0.9366621971130371]
 COc1cc(-c2ccc(N)nc2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2ccc(N)nc2)nn1; [None]; [None]; [0]
+CC(C)n1cc(-c2ccc(N)nc2)nn1; ['CC(C)n1ccnn1', 'CC(C)n1ccnn1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1']; [0.9990954995155334, 0.9985355734825134]
+CSc1nc(-c2ccc(N)nc2)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(Br)c1']; ['N#CCCc1cccc(Br)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.9999812841415405, 0.9999515414237976, 0.9998593330383301, 0.9996728897094727, 0.9989480972290039, 0.9979387521743774, 0.9817684888839722]
+Nc1ccc(-c2csc3ncncc23)cn1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; [0.9999237060546875, 0.9998040199279785]
+Nc1ccc(-c2csc(N)n2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'CC(=O)c1ccc(N)nc1']; ['Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1', 'Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1', 'NC(N)=S']; [0.9999980926513672, 0.9999868869781494, 0.9999768733978271, 0.999923586845398, 0.969221830368042]
+Nc1ccc(-c2cc3ccccc3[nH]2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Ic1cc2ccccc2[nH]1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1cc2ccccc2[nH]1', 'CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'Nc1ccc(Br)cn1', 'CC(=O)c1ccc(N)nc1']; ['Ic1cc2ccccc2[nH]1', 'Nc1ccc(B(O)O)cn1', 'Clc1cc2ccccc2[nH]1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'OB(O)c1cc2ccccc2[nH]1', 'NNc1ccccc1']; [0.9999988079071045, 0.9999933242797852, 0.9999352693557739, 0.9998550415039062, 0.9997538328170776, 0.9994810819625854, 0.757815957069397]
+CCC(=O)Nc1ccc(-c2ccc(N)nc2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1']; [0.9999983310699463, 0.9999972581863403, 0.9999746084213257]
+Nc1ccc(-c2ccc(F)cc2C(F)(F)F)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Nc1ccc(I)cn1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Nc1ccc(Br)cn1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Nc1ccc(Cl)cn1', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Nc1ccc(B(O)O)cn1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ccc(I)cn1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ccc(Br)cn1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ccc(Br)cn1']; [0.9999992847442627, 0.999995231628418, 0.9999879598617554, 0.9999760389328003, 0.9999700784683228, 0.9999678134918213, 0.9999537467956543, 0.9999270439147949, 0.9998558759689331, 0.9993627071380615, 0.9991832971572876, 0.9950828552246094]
 Nc1ccc(CCc2c[nH]nn2)cn1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(NC(=O)c2c(Cl)cccc2Cl)cn1; [None]; [None]; [0]
+Nc1ccc(Oc2ccccn2)cn1; ['Clc1ccccn1', 'Brc1ccccn1', 'Fc1ccccn1', 'Nc1ccc(F)cn1', 'Nc1ccc(Cl)cn1']; ['Nc1ccc(O)cn1', 'Nc1ccc(O)cn1', 'Nc1ccc(O)cn1', 'Oc1ccccn1', 'Oc1ccccn1']; [0.9980676174163818, 0.9977730512619019, 0.9922280311584473, 0.9215642213821411, 0.8398565649986267]
+CC(C)c1oncc1-c1ccc(N)nc1; [None]; [None]; [0]
+Nc1ccc(-c2cncnc2N)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; ['Nc1ncncc1I', 'Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1Br', 'Nc1ncncc1Cl', 'Nc1ncncc1I', 'Nc1ncncc1Cl', 'Nc1ncncc1Br', 'Nc1ncncc1Br']; [0.9999730587005615, 0.9999361038208008, 0.9999152421951294, 0.9999020099639893, 0.9970036745071411, 0.9962954521179199, 0.9954415559768677, 0.9943110346794128, 0.9526070356369019]
+CCNc1nc2ccc(-c3ccc(N)nc3)cc2s1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc(N)nc2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999992847442627, 0.999998927116394, 0.999997615814209, 0.999994158744812, 0.9999897480010986, 0.9999824166297913, 0.9999701976776123, 0.9998214244842529, 0.9986734390258789]
+CS(=O)(=O)C1CCN(c2ccc(N)nc2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; [0.9994872808456421, 0.9911400079727173]
+NC(=O)CCCc1ccc(N)nc1; [None]; [None]; [0]
+Nc1ccc(NC(=O)c2c(Cl)cccc2Cl)cn1; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.9997650384902954, 0.9992389678955078]
 CC(C)(COc1ccc(N)nc1)S(C)(=O)=O; [None]; [None]; [0]
+CCCn1cc(-c2ccc(N)nc2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999973177909851, 0.9999967813491821, 0.999996542930603, 0.9999961853027344, 0.9999879598617554, 0.9999876022338867, 0.9999771118164062, 0.9998956322669983, 0.999885082244873]
+COc1ccc(-c2ccc(N)nc2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Nc1ccc(Br)cn1', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999996423721313, 0.9999995231628418, 0.9999982714653015, 0.9999974966049194, 0.999997079372406, 0.9999889731407166, 0.9999868869781494, 0.9999607801437378, 0.9999537467956543, 0.9999316930770874, 0.999837338924408, 0.9979401230812073, 0.9895018935203552]
+CC(C)(O)CC(=O)NCCc1ccc(N)nc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(N)nc2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1']; [0.9997929334640503, 0.9996871948242188, 0.9983692765235901, 0.910034716129303]
+Nc1ccc(-c2cc[nH]c(=O)c2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; ['O=c1cc(Br)cc[nH]1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(Cl)cc[nH]1', 'O=c1cc(Br)cc[nH]1', 'Nc1ccc(Cl)cn1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(Cl)cc[nH]1', 'O=c1cc(Br)cc[nH]1']; [0.9999634027481079, 0.999962329864502, 0.9999184012413025, 0.9998810291290283, 0.999617338180542, 0.9992480278015137, 0.9991021156311035, 0.9978914260864258, 0.9961457252502441, 0.9947768449783325, 0.9661034941673279]
+Nc1ccc(-c2cnn3ccccc23)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Brc1cnn2ccccc12', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Clc1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Ic1cnn2ccccc12', 'Nc1ccc(Cl)cn1', 'Nc1ccccn1', 'Nc1ccc(Br)cn1', 'Brc1cnn2ccccc12', 'Brc1cnn2ccccc12']; ['Ic1cnn2ccccc12', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Clc1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'c1ccn2nccc2c1', 'Nc1ccc(Br)cn1', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'O=C(O)c1cnn2ccccc12', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.9999987483024597, 0.9999946355819702, 0.9999890327453613, 0.999976634979248, 0.9999555945396423, 0.9999374151229858, 0.9999315738677979, 0.9999147653579712, 0.9996519088745117, 0.9995932579040527, 0.999524712562561, 0.9986732006072998, 0.9972819089889526, 0.9960915446281433, 0.9849237203598022, 0.9779365062713623, 0.9770621657371521, 0.862133264541626]
+Nc1ccc(-c2cccc3c2C(=O)CC3)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; ['O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21']; [0.9999855160713196, 0.9999490976333618, 0.9989748001098633, 0.9986664056777954, 0.9863467812538147, 0.8599820137023926]
+CC(C)(N)c1ccc(-c2ccc(N)nc2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9999949932098389, 0.9999551773071289, 0.9982086420059204, 0.9853464365005493]
+C[S@](=O)c1ccc(-c2ccc(N)nc2)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Nc1ccc(Br)cn1']; [0.9996874332427979]
+CCNS(=O)(=O)c1ccccc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1Br']; ['CCNS(=O)(=O)c1ccccc1Br', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999707937240601, 0.9980268478393555, 0.8188368082046509]
+COc1cc(CCc2ccc(N)nc2)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1']; ['Nc1ccc(Br)cn1']; [0.9289793968200684]
+C[C@@H](Oc1ccc(N)nc1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Nc1ccc(O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(F)cn1']; [0.9963427782058716, 0.9932329654693604, 0.9355005025863647]
+CCN(CC)c1ccc(N)nc1; ['CCNCC']; ['Nc1ccc(Br)cn1']; [0.7581002712249756]
+COc1ccncc1Nc1ccc(N)nc1; ['COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1Cl', 'COc1ccncc1I']; ['Nc1ccc(N)nc1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(N)nc1', 'Nc1ccc(N)nc1']; [0.9981339573860168, 0.9970266222953796, 0.995956301689148, 0.9948765635490417, 0.9947613477706909, 0.9700727462768555]
+CC(C)Oc1cncc(-c2ccc(N)nc2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999998211860657, 0.9999988079071045, 0.9999986886978149, 0.999998152256012, 0.9999514818191528, 0.9999395608901978, 0.9999105930328369, 0.9998791217803955, 0.9930120706558228]
+Nc1ccc(Nc2cnccc2-c2ccccc2)cn1; ['Nc1ccc(Br)cn1', 'Brc1cnccc1-c1ccccc1']; ['Nc1cnccc1-c1ccccc1', 'Nc1ccc(N)nc1']; [0.9983179569244385, 0.9968330264091492]
 Nc1ccc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cn1; [None]; [None]; [0]
-C[C@@H](Oc1ccc(N)nc1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc(N)nc2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999998211860657, 0.9999994039535522, 0.9999991655349731, 0.9999977350234985, 0.9999970197677612, 0.9999920129776001, 0.9999916553497314, 0.9999899864196777, 0.9999863505363464, 0.9999754428863525, 0.999895453453064, 0.9998875856399536, 0.9998688697814941, 0.9998664855957031, 0.9998137354850769, 0.9879884719848633]
 Nc1ccc(-c2cc3c(=O)[nH]cc(Br)c3s2)cn1; [None]; [None]; [0]
-Nc1ccc(Nc2cnccc2-c2ccccc2)cn1; [None]; [None]; [0]
-CN(c1ccc(N)nc1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Nc1ccc(-c2cc3c(=O)[nH]ccc3o2)cn1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1']; ['COc1cccc(F)c1Br', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'COc1cccc(F)c1I', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999991655349731, 0.9999966025352478, 0.9999959468841553, 0.999989926815033, 0.9999868869781494, 0.9999862909317017, 0.9999639391899109, 0.9999263286590576, 0.9998711347579956, 0.9996720552444458, 0.9996604919433594, 0.9966475963592529, 0.994070827960968]
+Nc1ccc(Nc2cnc3ccccc3c2)cn1; ['Nc1ccc(Br)cn1', 'Clc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Nc1ccc(Cl)cn1']; ['Nc1cnc2ccccc2c1', 'Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1cnc2ccccc2c1']; [0.9616950154304504, 0.9586375951766968, 0.9557483196258545, 0.8559459447860718]
+Nc1ccc(-c2cnc3[nH]ccc3c2)cn1; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1ccc(Br)cn1']; [0.9999995231628418, 0.999995768070221, 0.9999939203262329, 0.999993085861206, 0.9999926090240479, 0.999974250793457, 0.9999645948410034, 0.9999547004699707, 0.9998080730438232, 0.9991822242736816, 0.9739986062049866]
+CNS(=O)(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9999802112579346, 0.9999730587005615, 0.9999702572822571, 0.9998575448989868, 0.9998108148574829, 0.9995357990264893, 0.998569667339325, 0.9981997609138489, 0.9945062398910522]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999986886978149, 0.9999986290931702, 0.9999974370002747, 0.999976396560669, 0.9997934103012085, 0.9992489814758301, 0.9989194273948669, 0.7661184072494507]
+Nc1ccc(-c2ccc(N3CCOCC3)cc2)cn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Brc1ccc(N2CCOCC2)cc1', 'Nc1ccc(Cl)cn1', 'Clc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [1.0, 0.9999996423721313, 0.9999996423721313, 0.9999995231628418, 0.9999991655349731, 0.999998927116394, 0.9999984502792358, 0.9999982118606567, 0.9999978542327881, 0.9999943971633911, 0.9999942779541016, 0.9992496967315674]
+Nc1ccc(-c2c[nH]c3cnccc23)cn1; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12', 'Nc1ccc(I)cn1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'OB(O)c1c[nH]c2cnccc12']; [0.9999634027481079, 0.9998496770858765, 0.992685079574585, 0.9870733022689819, 0.9472468495368958, 0.9365973472595215]
+CNC(=O)c1c(F)cccc1-c1ccc(N)nc1; [None]; [None]; [0]
+Cc1cc(-c2ccc(N)nc2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', None, 'CS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', None, 'Nc1ccc(Br)cn1']; [0.9999998211860657, 0.9999996423721313, 0.999998927116394, 0.9999988079071045, 0.9999985694885254, 0.9999943971633911, 0.9999940395355225, 0.99998939037323, 0.9999872446060181, 0.9999608993530273, 0.9999525547027588, 0.9999198913574219, 0, 0.9296053051948547]
+Nc1ccc(-n2ccc(CO)n2)cn1; ['Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9989773035049438, 0.9952197074890137]
+CC1(c2ccc(N)nc2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 C[C@H](Nc1ccc(N)nc1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CN(c1ccc(N)nc1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Nc1ccc(-c2c(F)cccc2Cl)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Fc1cccc(Cl)c1Br', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Fc1cccc(Cl)c1Cl', 'Fc1cccc(Cl)c1Br']; ['Fc1cccc(Cl)c1Br', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Fc1cccc(Cl)c1I', 'OB(O)c1c(F)cccc1Cl', 'Nc1ccc(I)cn1', 'Fc1cccc(Cl)c1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999992251396179, 0.9999980330467224, 0.9999974966049194, 0.9999963045120239, 0.9999958872795105, 0.9999954700469971, 0.9999916553497314, 0.9999831914901733, 0.9999825954437256, 0.9999607801437378, 0.9998918771743774, 0.9998751282691956, 0.9989822506904602]
+Nc1ccc(-n2cnc(CCO)c2)cn1; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(F)cn1']; ['OCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'OCCc1cnc[nH]1', 'OCCc1c[nH]cn1']; [0.999688982963562, 0.9996127486228943, 0.9987920522689819, 0.9292697906494141]
+C[C@@H](Nc1ccc(N)nc1)C(C)(C)O; [None]; [None]; [0]
+C[C@H](Nc1ccc(N)nc1)C(C)(C)O; [None]; [None]; [0]
+Nc1ccc(-n2ncc3ccccc32)cn1; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9986989498138428, 0.8522468209266663]
+Nc1ccc(-c2ccc(-n3cncn3)cc2)cn1; [None]; [None]; [0]
+Nc1ccc(-c2nc3ccc(O)cc3[nH]2)cn1; ['Nc1ccc(C=O)cn1', 'Nc1ccc(C(=O)O)cn1']; ['Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N']; [0.9975272417068481, 0.9942221641540527]
+COc1ccc(-c2ccc(N)nc2)c(OC)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc([Mg]Br)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['COc1ccc(Br)c(OC)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'COc1ccc(I)c(OC)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'COc1ccc(Cl)c(OC)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999908208847046, 0.9999814033508301, 0.9999752640724182, 0.9999362230300903, 0.9999001026153564, 0.9998444318771362, 0.9997897148132324, 0.9997581243515015, 0.9997463226318359, 0.999199390411377, 0.9973635077476501, 0.996732234954834, 0.9952181577682495, 0.9680502414703369, 0.950661301612854]
+Nc1ccc(-n2ncc3c(O)cccc32)cn1; ['Nc1ccc(I)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc(Br)cn1']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.9957162141799927, 0.9910030961036682, 0.9845278263092041]
+Nc1ccc(-c2ccc(C(=O)c3ccccc3)cc2)cn1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccccn1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Nc1ccc(Cl)cn1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9999961853027344, 0.9999890923500061, 0.9999886751174927, 0.9999860525131226, 0.9999775886535645, 0.9999685287475586, 0.9999509453773499, 0.9999309778213501, 0.999917209148407, 0.9997211694717407, 0.9997118711471558, 0.9992675185203552, 0.9986710548400879, 0.9985095262527466, 0.851722776889801]
+CSc1nc(C)c(-c2ccc(N)nc2)[nH]1; [None]; [None]; [0]
+Nc1ccc(CCC(=O)NCc2ccccn2)cn1; ['NCc1ccccn1', 'CC(C)(C)OC(=O)NCc1ccccn1', 'COC(=O)CCc1ccc(N)nc1']; ['Nc1ccc(CCC(=O)O)cn1', 'Nc1ccc(CCC(=O)O)cn1', 'NCc1ccccn1']; [0.9998461008071899, 0.9995360374450684, 0.9961048364639282]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc(N)nc2)CC1; [None]; [None]; [0]
+Nc1ccc(-c2nncn2C2CC2)cn1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc(N)nc1; [None]; [None]; [0]
 Nc1ccc(-c2ccn(CC[NH3+])n2)cn1; [None]; [None]; [0]
+Nc1ccc(-c2nnc(N)s2)cn1; ['NNC(N)=S']; ['Nc1ccc(C(=O)O)cn1']; [0.9966965913772583]
 Nc1ccc(Cc2nnc3ccc(-c4ccccc4)nn23)cn1; [None]; [None]; [0]
+Nc1ccc(-c2cn(Cc3ccccc3)nn2)cn1; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; ['c1ccc(Cn2ccnn2)cc1', 'c1ccc(Cn2ccnn2)cc1', 'c1ccc(Cn2ccnn2)cc1', 'c1ccc(Cn2ccnn2)cc1']; [0.9999676942825317, 0.9994021654129028, 0.9989069104194641, 0.8476884365081787]
 Nc1ccc(CS(=O)(=O)NCc2ccccn2)cn1; [None]; [None]; [0]
-Nc1ccc(Oc2ccc(C[NH3+])cc2F)cn1; [None]; [None]; [0]
+CCc1cc(-c2ccc(N)nc2)nc(N)n1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCc1cc(Cl)nc(N)n1', 'CCc1cc(Cl)nc(N)n1']; ['CCc1cc(Cl)nc(N)n1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999985694885254, 0.9999954700469971, 0.9995363354682922]
+CNC(=O)c1ccc(-c2ccc(N)nc2)s1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CNC(=O)c1ccc(Br)s1']; ['CNC(=O)c1ccc(Br)s1', 'Nc1ccc(B(O)O)cn1']; [0.9999984502792358, 0.9999537467956543]
+CC(C)(O)c1cccc(-c2ccc(N)nc2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999971389770508, 0.9999409914016724, 0.9999409317970276, 0.99971604347229, 0.9959230422973633]
+CCCCc1cc(-c2ccc(N)nc2)nc(N)n1; [None]; [None]; [0]
+Nc1ccc(-c2nc3ccccc3s2)cn1; ['Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'Nc1ccc(Br)cn1', None, 'CSc1nc2ccccc2s1', 'Nc1ccc(C(=O)O)cn1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'c1ccc2scnc2c1', None, 'Nc1ccc(B(O)O)cn1', 'Nc1ccccc1S', 'Nc1ccc(Br)cn1']; [0.9999957084655762, 0.9999451637268066, 0.9995783567428589, 0, 0.9984446167945862, 0.9965167045593262, 0.996459424495697]
+CC1(C)Oc2ccc(-c3ccc(N)nc3)nc2NC1=O; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)Oc2ccc(Br)nc2NC1=O']; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'Nc1ccc(B(O)O)cn1']; [0.9999037981033325, 0.9985499978065491]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(N)nc3)c2)cc1; ['CNC(=O)c1ccc(N)cc1']; ['Nc1ccc(-c2cccc(C(=O)O)c2)cn1']; [0.99991375207901]
 Cn1cc(C(N)=O)cc1-c1ccc(N)nc1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3ccc(N)nc3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(N)nc3)c2)cc1; [None]; [None]; [0]
-Nc1ccc(-c2cccc3nnsc23)cn1; [None]; [None]; [0]
-COc1ccc(Oc2ccc(N)nc2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc(N)nc2)n1; [None]; [None]; [0]
+Nc1ccc(-c2cncc(N)n2)cn1; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1']; [0.9999504685401917, 0.9999386668205261, 0.9998792409896851, 0.9998634457588196, 0.9980817437171936, 0.915886640548706]
+C[C@@H2]NC(=O)N1CCC(c2ccc(N)nc2)CC1; [None]; [None]; [0]
+Nc1ccc(-c2cccc3ccsc23)cn1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cccc2ccsc12', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Brc1cccc2ccsc12', 'Clc1cccc2ccsc12', 'Nc1ccc(Cl)cn1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1cccc2ccsc12']; [0.9999948143959045, 0.9999764561653137, 0.9999648332595825, 0.9996194839477539, 0.999346137046814, 0.9992595911026001, 0.9887661933898926, 0.982367217540741]
+Nc1ccc(-c2cccc3nnsc23)cn1; ['Brc1cccc2nnsc12', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Brc1cccc2nnsc12', 'Clc1cccc2nnsc12', 'Brc1cccc2nnsc12']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1cccc2nnsc12', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999963045120239, 0.9998234510421753, 0.9997930526733398, 0.996138870716095, 0.9669763445854187]
+Nc1ccc(Oc2ccc(C[NH3+])cc2F)cn1; [None]; [None]; [0]
+Nc1ccc(-c2ncc3ccccc3n2)cn1; ['Brc1ncc2ccccc2n1', 'Brc1ncc2ccccc2n1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ncc2ccccc2n1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Clc1ncc2ccccc2n1', 'Nc1ccc(B(O)O)cn1']; [0.9999680519104004, 0.9995626211166382, 0.9995247721672058, 0.9972204566001892]
+Nc1ccc(-c2nc(N)c3ccccc3n2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; ['Nc1nc(Cl)nc2ccccc12', 'Nc1nc(Cl)nc2ccccc12']; [0.9999040961265564, 0.9997102618217468]
+Nc1ccc(-c2c[nH]c3cccnc23)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Ic1c[nH]c2cccnc12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'Clc1c[nH]c2cccnc12']; ['Ic1c[nH]c2cccnc12', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9998595714569092, 0.999669075012207, 0.9996116161346436, 0.9994367361068726, 0.9984744787216187, 0.9890745282173157, 0.9667481184005737]
+Nc1ccc(-c2ncc3cc[nH]c3n2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ncc2cc[nH]c2n1']; ['Clc1ncc2cc[nH]c2n1', 'Nc1ccc(B(O)O)cn1']; [0.9998779892921448, 0.9952214956283569]
+COc1ccc(Oc2ccc(N)nc2)c(F)c1F; ['COc1ccc(Br)c(F)c1F', 'COc1ccc(F)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['Nc1ccc(O)cn1', 'Nc1ccc(O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(F)cn1']; [0.9998491406440735, 0.998814046382904, 0.9965187311172485, 0.9597386717796326]
+COc1ncccc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'COc1ncccc1Cl', 'COc1ncccc1Br']; ['COc1ncccc1Br', 'Nc1ccc(Br)cn1', 'COc1ncccc1I', 'Nc1ccc(I)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999613761901855, 0.999883770942688, 0.9996567964553833, 0.999632716178894, 0.9988252520561218, 0.9976020455360413, 0.9969103932380676, 0.9948581457138062, 0.992190957069397, 0.9872998595237732, 0.7998204231262207]
+COc1ccc(C#N)cc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O']; ['COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'COc1ccc(C#N)cc1Cl', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; [0.9999992847442627, 0.9999982118606567, 0.9999955892562866, 0.9999951720237732, 0.9999854564666748, 0.999977707862854, 0.9999711513519287, 0.999969482421875, 0.9999563694000244, 0.9999209046363831, 0.9999167919158936, 0.9998942613601685, 0.9996910095214844, 0.9987599849700928, 0.9974778294563293]
+COc1ccc(OC)c(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1']; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'COc1ccc(OC)c(Cl)c1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999921321868896, 0.9999813437461853, 0.9999507069587708, 0.9999157190322876, 0.9998490810394287, 0.9997782707214355, 0.9997698068618774, 0.9993849992752075, 0.9989488124847412, 0.9987421035766602, 0.997822642326355, 0.9957956075668335, 0.9872111678123474, 0.9768288135528564]
+Nc1ccc(-c2cn(CCO)cn2)cn1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc(N)nc2)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999995231628418, 0.999998927116394, 0.9999984502792358, 0.9999959468841553, 0.9999940395355225, 0.9999869465827942, 0.999976396560669, 0.999773383140564, 0.9993128776550293]
+CN(C)c1cc(-c2ccc(N)nc2)cnn1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc(N)nc2)[nH]1; [None]; [None]; [0]
+Nc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)cn1; ['Nc1ccc(Br)cn1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9998695850372314]
+CC(=O)N(C)c1ccc(-c2ccc(N)nc2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999992847442627, 0.9999983310699463, 0.9999966621398926, 0.999990701675415, 0.9999403953552246, 0.9391167163848877]
+Nc1ccc(N2CC=C(c3c[nH]c4ccccc34)CC2)cn1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc(Cl)cn1']; [0.9999269247055054, 0.9998201131820679, 0.9984822869300842, 0.9969016313552856]
+CCOc1ccc(-c2ccc(N)nc2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCOc1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCOc1ccc(I)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Cl)cc1', 'CCOc1ccc(Br)cc1', 'CCBr', 'CCOc1ccccc1']; ['Nc1ccc(Br)cn1', 'CCOc1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'CCOc1ccc(I)cc1', 'Nc1ccc(I)cn1', 'CCOc1ccc(Cl)cc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(-c2ccc(O)cc2)cn1', 'Nc1ccc(Br)cn1']; [0.9999994039535522, 0.999998927116394, 0.9999982118606567, 0.999997615814209, 0.9999920129776001, 0.9999876618385315, 0.9999854564666748, 0.9999749660491943, 0.9999711513519287, 0.9999467134475708, 0.9999399185180664, 0.9999189972877502, 0.999863862991333, 0.999839186668396, 0.9911769032478333, 0.9864241480827332, 0.8642829060554504]
 Nc1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)cn1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1ccc(N)nc1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc(N)nc3)cc2)CC1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc(N)nc2)CC1; [None]; [None]; [0]
+COc1cc(-c2ccc(N)nc2)cc(OC)c1OC; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999934434890747, 0.9999892711639404, 0.9999809265136719, 0.9999619722366333, 0.9999172687530518, 0.9997224807739258, 0.9995207786560059, 0.9988918304443359, 0.9984712600708008, 0.9950445294380188, 0.9867134690284729]
+CS(=O)(=O)c1cccc(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1ccccc1']; ['CS(=O)(=O)c1cccc(Br)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'CS(=O)(=O)c1cccc(Cl)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [1.0, 1.0, 0.9999997615814209, 0.9999993443489075, 0.9999992251396179, 0.9999987483024597, 0.9999948143959045, 0.9999926090240479, 0.9999923706054688, 0.9999644160270691, 0.9997950792312622, 0.9279845952987671]
+Cc1ccc2ncn(-c3ccc(N)nc3)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc(I)cn1']; [0.9968754053115845, 0.9845600128173828, 0.9562568664550781, 0.9055002927780151]
+COc1ccc(-c2ccc(N)nc2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', None, 'CI', 'COc1ccc(Br)cc1']; ['Nc1ccc(Br)cn1', 'COc1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'COc1ccc(I)cc1', 'COc1ccc(Cl)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', None, 'Nc1ccc(-c2ccc(O)cc2)cn1', 'Nc1ccc(Br)cn1']; [0.9999979734420776, 0.9999949932098389, 0.999992847442627, 0.9999897480010986, 0.9999679327011108, 0.9999645948410034, 0.9999328255653381, 0.9998823404312134, 0.999813437461853, 0.9997366070747375, 0.9997023940086365, 0.9994940757751465, 0.9994734525680542, 0.9994322061538696, 0.9990110397338867, 0.9985141754150391, 0, 0.9935034513473511, 0.8965939283370972]
+Cc1nc(C(C)(C)O)sc1-c1ccc(N)nc1; ['Cc1csc(C(C)(C)O)n1', 'Cc1csc(C(C)(C)O)n1']; ['Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.9989944696426392, 0.9988061189651489]
+N#Cc1ccc(O)c(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; ['N#Cc1ccc(O)c(Br)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1']; [0.9999925494194031, 0.99998939037323, 0.9999375939369202, 0.9997944831848145, 0.9993622303009033, 0.9947232007980347, 0.9900751113891602]
+Nc1ccc(-c2cccc(NC(=O)C3CC3)c2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; ['O=C(Nc1cccc(Br)c1)C1CC1', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.9999982118606567, 0.9999918937683105]
+Nc1ccc(-c2nc3ccccc3[nH]2)cn1; [None, 'Clc1nc2ccccc2[nH]1', 'Nc1ccc(C(=O)O)cn1', 'Nc1ccc(C=O)cn1', 'CCOC(=O)c1ccc(N)nc1', 'Nc1ccc(C=O)cn1']; [None, 'Nc1ccc(B(O)O)cn1', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'Nc1ccccc1N']; [0, 0.970212996006012, 0.9523583054542542, 0.9172942638397217, 0.911941409111023, 0.9010513424873352]
+Cc1cc(Nc2ccc(N)nc2)sn1; ['Cc1cc(N)sn1', 'Cc1cc(N)sn1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; [0.999876856803894, 0.9997777342796326]
+NC(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Cl)cc1', None, None]; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'NC(=O)c1ccc(Br)cc1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', None, None]; [0.9999967217445374, 0.9999942779541016, 0.9999909400939941, 0.9999746680259705, 0.9999709129333496, 0.9999122619628906, 0.9998263716697693, 0.9995021820068359, 0.9990898370742798, 0.9966939687728882, 0, 0]
+Nc1ccc(-c2nccc3ccccc23)cn1; ['Brc1nccc2ccccc12', 'Ic1nccc2ccccc12', 'Brc1nccc2ccccc12', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1nccc2ccccc12', 'Nc1ccc(Br)cn1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Clc1nccc2ccccc12', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1nccc2ccccc12']; [0.9999749064445496, 0.9999560117721558, 0.9997391700744629, 0.9994015693664551, 0.9992289543151855, 0.9881883263587952]
+Nc1ccc(-c2ccc(C(=O)[O-])cc2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; ['O=C([O-])c1ccc(Cl)cc1', 'O=C([O-])c1ccc(Cl)cc1']; [0.989654004573822, 0.7941446304321289]
+Nc1ccc(Nc2ncccn2)cn1; ['Fc1ncccn1', 'Brc1ncccn1', 'CSc1ncccn1', 'Clc1ncccn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CS(=O)(=O)c1ncccn1']; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ccc(N)nc1']; [0.9864035844802856, 0.9859105348587036, 0.9840155839920044, 0.9779273271560669, 0.9717665910720825, 0.9702704548835754, 0.9446060657501221]
 N#Cc1cccc(Cn2cc(-c3ccc(N)nc3)cn2)c1; [None]; [None]; [0]
-CC(C)c1cc(-c2ccc(N)nc2)nc(N)n1; [None]; [None]; [0]
-Nc1ccc(-c2ccc3c(c2)CS(=O)(=O)C3)cn1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc(N)nc3)cc2)CC1; [None]; [None]; [0]
+Nc1ccc(-c2cccc(C3CCNCC3)c2)cn1; ['Brc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; [0.9999998807907104, 0.9999951720237732]
+CC(=O)NCc1ccc(-c2ccc(N)nc2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9999974966049194, 0.9999955892562866, 0.9999946355819702, 0.9999673366546631, 0.9999239444732666, 0.999904453754425]
+Nc1ccc(-c2ccc(C(=O)Nc3ccccc3)cc2)cn1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(-c2ccc(C(=O)O)cc2)cn1', 'COC(=O)c1ccc(-c2ccc(N)nc2)cc1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(Br)cn1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'Nc1ccccc1', 'Nc1ccccc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9999996423721313, 0.9999990463256836, 0.999998927116394, 0.9999979734420776, 0.9999874830245972, 0.9999864101409912, 0.9997378587722778, 0.9992989301681519, 0.9952864646911621, 0.9628616571426392]
+Nc1ccc(-c2ccc(C(=O)N3CCOCC3)cn2)cn1; ['Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999961853027344, 0.9999954700469971, 0.9999391436576843]
+Nc1ccc(-c2ccc(C(=O)N3CCOCC3)cc2)cn1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'C1COCCN1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(Br)cn1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'Nc1ccc(I)cn1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'Nc1ccc(Cl)cn1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'Nc1ccc(-c2ccc(C(=O)O)cc2)cn1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9999998807907104, 0.9999996423721313, 0.9999995231628418, 0.9999992251396179, 0.9999988079071045, 0.9999983906745911, 0.9999983310699463, 0.9999943971633911, 0.9999938011169434, 0.9999916553497314, 0.9999330043792725, 0.9999040365219116, 0.9998713135719299, 0.9936529994010925]
+Nc1ccc(Nc2ccncn2)cn1; ['Nc1ccc(B(O)O)cn1', 'Clc1ccncn1', 'Nc1ccc(Br)cn1', 'Brc1ccncn1', 'Nc1ccc(I)cn1', 'Fc1ccncn1']; ['Nc1ccncn1', 'Nc1ccc(N)nc1', 'Nc1ccncn1', 'Nc1ccc(N)nc1', 'Nc1ccncn1', 'Nc1ccc(N)nc1']; [0.9997398257255554, 0.9981311559677124, 0.9916499853134155, 0.9792612195014954, 0.9745508432388306, 0.9216833114624023]
+C[C@H](O)COc1ccc(-c2ccc(N)nc2)cc1; ['C[C@H](O)CCl', 'C[C@H](O)CO']; ['Nc1ccc(-c2ccc(O)cc2)cn1', 'Nc1ccc(-c2ccc(O)cc2)cn1']; [0.9825143814086914, 0.9173554182052612]
+C[C@@H](O)COc1ccc(-c2ccc(N)nc2)cc1; ['Cc1ccc(S(=O)(=O)OC[C@@H](C)O)cc1', 'C[C@@H](O)CCl', 'C[C@@H](O)CO']; ['Nc1ccc(-c2ccc(O)cc2)cn1', 'Nc1ccc(-c2ccc(O)cc2)cn1', 'Nc1ccc(-c2ccc(O)cc2)cn1']; [0.9918549060821533, 0.9825143814086914, 0.9173554182052612]
+Nc1ccc(-c2ccc(OCCO)cc2)cn1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(-c2ccc(O)cc2)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(-c2ccc(O)cc2)cn1', 'Nc1ccc(-c2ccc(O)cc2)cn1', 'Cc1ccc(S(=O)(=O)OCCO)cc1', 'Nc1ccc(-c2ccc(O)cc2)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(-c2ccc(F)cc2)cn1', 'Nc1ccc(-c2ccc(Cl)cc2)cn1']; ['Nc1ccc(Br)cn1', 'OCCOc1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(Cl)cc1', 'OCCCl', 'OCCOc1ccc(I)cc1', 'OCCI', 'OCCBr', 'Nc1ccc(-c2ccc(O)cc2)cn1', 'OCCO', 'OCCOc1ccc(Br)cc1', 'OCCO', 'OCCO']; [0.999998152256012, 0.9999980926513672, 0.9999952912330627, 0.9999887943267822, 0.9999710321426392, 0.9999395608901978, 0.9998655319213867, 0.999833345413208, 0.9997916221618652, 0.9996551275253296, 0.9995819330215454, 0.9992173910140991, 0.9986549615859985, 0.9985427260398865, 0.9969882965087891, 0.9810187816619873, 0.9587339162826538, 0.88963383436203, 0.8431997299194336]
+Nc1ccc(-c2ccc(C(F)(F)F)cc2)cn1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)c1ccc(I)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'FC(F)(F)c1ccc(Br)cc1', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'FC(F)(F)c1ccc(Cl)cc1', 'Nc1ccc(Cl)cn1', 'FC(F)(F)c1ccc(I)cc1', 'Nc1ccc(B(O)O)cn1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(Br)cc1', None]; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'FC(F)(F)c1ccc(Br)cc1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'FC(F)(F)c1ccc(I)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccc(Br)cn1', 'O=S(=O)(Oc1ccc(C(F)(F)F)cc1)C(F)(F)F', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', None]; [0.9999995231628418, 0.9999983310699463, 0.9999977350234985, 0.9999970197677612, 0.9999969005584717, 0.9999952912330627, 0.9999932050704956, 0.9999901056289673, 0.9999877214431763, 0.9999607801437378, 0.9999483823776245, 0.999941349029541, 0.9999309778213501, 0.9999251961708069, 0.9998989701271057, 0.9910874962806702, 0]
+CN(C)c1ccc(-c2ccc(N)nc2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccccc1']; ['Nc1ccc(Br)cn1', 'CN(C)c1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Cl)cc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999995827674866, 0.999998927116394, 0.9999985098838806, 0.9999979138374329, 0.9999958276748657, 0.9999929666519165, 0.9999867677688599, 0.9999854564666748, 0.9999772310256958, 0.9999756813049316, 0.999951958656311, 0.9999072551727295, 0.9997940063476562, 0.9996781945228577, 0.9846086502075195, 0.942557692527771]
+Nc1ccc(-c2ccc3c(c2)CS(=O)(=O)C3)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999945163726807, 0.9999895095825195, 0.9960876703262329]
+CS(=O)(=O)N1CCC(c2ccc(N)nc2)CC1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'Nc1ccc(Cl)cn1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999991655349731, 0.9999985694885254, 0.9999943971633911, 0.9999938011169434, 0.9999933242797852, 0.9999872446060181, 0.9999867677688599, 0.9999600648880005, 0.9999563694000244, 0.9998015761375427, 0.9746537208557129]
+CCNS(=O)(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1']; ['CCNS(=O)(=O)c1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9999894499778748, 0.9999263882637024, 0.9994373917579651, 0.999374270439148, 0.9993546009063721, 0.9982609748840332]
+Nc1ccc(-c2ccc(Br)cc2)cn1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1ccc(I)cc1', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1ccc(I)cc1', 'Nc1ccc(I)cn1', 'Brc1ccc(Br)cc1', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Brc1ccc(Br)cc1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Clc1ccc(Br)cc1', 'Brc1ccc(I)cc1', 'Brc1ccc(Br)cc1']; ['Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(Br)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'O=S(=O)(Oc1ccc(Br)cc1)C(F)(F)F', 'Clc1ccc(Br)cc1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1']; [0.9999955296516418, 0.999976634979248, 0.9999748468399048, 0.9999743103981018, 0.9999305009841919, 0.9999173879623413, 0.9997773170471191, 0.9995020627975464, 0.9993643164634705, 0.9976494312286377, 0.9953902363777161, 0.9940311908721924, 0.9937844276428223, 0.989547610282898, 0.9841021299362183]
+CC(C)c1cc(-c2ccc(N)nc2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1ccnc(N)n1', 'CC(C)c1cc(Cl)nc(N)n1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999985098838806, 0.9999809265136719, 0.9998956918716431, 0.9996978044509888]
 CC(=O)N1CCCN(c2cccc(-c3ccc(N)nc3)c2)CC1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3ccc(N)nc3)[nH]c2c1; [None]; [None]; [0]
-CCCOc1ccc(-c2ccc(N)nc2)nc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc(N)nc2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Nc1ccc(Br)cn1', 'CN(C)c1ccc(Br)cc1Cl', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [1.0, 0.9999998211860657, 0.9999992847442627, 0.9999817609786987, 0.9973196983337402]
+Nc1ccc(-c2ccn3nccc3n2)cn1; ['Ic1ccn2nccc2n1', 'Brc1ccn2nccc2n1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Brc1ccn2nccc2n1', 'Clc1ccn2nccc2n1']; ['Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ccn2nccc2n1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9999995231628418, 0.9999989867210388, 0.9999973773956299, 0.9999971985816956, 0.9999960660934448]
+CCCOc1ccc(-c2ccc(N)nc2)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCCOc1ccc(Br)nc1', 'CCCOc1ccc(Br)nc1', 'CCCOc1ccc(Br)nc1']; ['CCCOc1ccc(Br)nc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.9999987483024597, 0.9999876022338867, 0.999911904335022, 0.9985489845275879]
+CCN(CC)C(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCNCC', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(-c2ccc(C(=O)O)cc2)cn1', 'Nc1ccc(Br)cn1']; [1.0, 0.9999997019767761, 0.9999996423721313, 0.9999995231628418, 0.9999984502792358, 0.9999958276748657, 0.9999929666519165, 0.9999741315841675, 0.9999725818634033, 0.9998005628585815, 0.9997231960296631, 0.9591733813285828]
+CNS(=O)(=O)c1ccc(-c2ccc(N)nc2)c(C)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999923706054688, 0.9999803304672241, 0.9999699592590332, 0.9999276399612427, 0.9999003410339355, 0.9993467926979065, 0.9980998039245605, 0.9965903759002686, 0.9760242700576782]
+Nc1ccc([C@H]2CCN(C(=O)c3ccccc3)C2)cn1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B(O)O']; ['COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'COc1ccc(Cl)cc1Cl', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; [0.9999799728393555, 0.999976396560669, 0.9999228715896606, 0.9999061822891235, 0.9997920989990234, 0.9995468854904175, 0.9994691610336304, 0.9992606043815613, 0.9991182088851929, 0.9989871978759766, 0.9895296096801758, 0.9623098373413086, 0.9597077369689941]
+Cc1c(C(=O)[O-])cccc1-c1ccc(N)nc1; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3ccc(N)nc3)[nH]c2c1; ['CC(C)c1ccc(N)c([N+](=O)[O-])c1']; ['Nc1ccc(C=O)cn1']; [0.9997321367263794]
+Nc1ccc(-c2ccccc2-n2cccn2)cn1; ['Brc1ccccc1-n1cccn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Brc1ccccc1-n1cccn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Brc1ccccc1-n1cccn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ccccc1-n1cccn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Brc1ccccc1-n1cccn1', 'Nc1ccccn1', 'Nc1ccc(Br)cn1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Clc1ccccc1-n1cccn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccccc1-n1cccn1', 'c1ccc(-n2cccn2)cc1', 'Nc1ccc(Br)cn1', 'OB(O)c1ccccc1-n1cccn1', 'c1ccc(-n2cccn2)cc1']; [0.9999921321868896, 0.9999554753303528, 0.9999253749847412, 0.999924898147583, 0.9999115467071533, 0.999440610408783, 0.9992620348930359, 0.9991588592529297, 0.9991058111190796, 0.999008059501648, 0.987546443939209, 0.9635108709335327, 0.9551377296447754, 0.9315332770347595, 0.8945257663726807]
+Nc1ccc(-c2c[nH]c3ccccc23)cn1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'Nc1ccc(I)cn1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1c[nH]c2ccccc12']; [0.9996236562728882, 0.9991070032119751, 0.9989444613456726, 0.9976609945297241, 0.9959786534309387, 0.979706346988678, 0.9762604236602783, 0.9294078350067139, 0.9267109632492065, 0.8179956674575806]
+Nc1ccc(-c2ccc3c(c2)CCO3)cn1; ['Brc1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Ic1ccc2c(c1)CCO2', 'Clc1ccc2c(c1)CCO2', 'Nc1ccc(Cl)cn1', 'Brc1ccc2c(c1)CCO2']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Ic1ccc2c(c1)CCO2', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ccc(Br)cn1']; [0.9999992847442627, 0.9999992251396179, 0.9999971389770508, 0.999997079372406, 0.9999958872795105, 0.9999923706054688, 0.9999915361404419, 0.9999808073043823, 0.999944806098938, 0.9998941421508789, 0.9997704029083252, 0.9997475147247314]
+COc1cc(OC)c(-c2ccc(N)nc2)cc1Cl; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Br)cc1Cl']; ['COc1cc(OC)c(Br)cc1Cl', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999872446060181, 0.9991270899772644, 0.9335303902626038]
+COc1cc(-c2ccc(N)nc2)ccc1O; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['COc1cc(Br)ccc1O', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999943971633911, 0.9999889731407166, 0.9999592900276184, 0.9999431371688843, 0.9999145269393921, 0.9996013641357422, 0.9993864297866821]
+Nc1ccc(-c2cccc3c2OCO3)cn1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Ic1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Brc1cccc2c1OCO2', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Ic1cccc2c1OCO2', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Nc1ccc(Br)cn1', 'OB(O)c1cccc2c1OCO2', 'c1ccc2c(c1)OCO2']; [0.9999884366989136, 0.9999781847000122, 0.9999573230743408, 0.999919593334198, 0.9998241662979126, 0.999683678150177, 0.9992421269416809, 0.9992213249206543, 0.9761146306991577, 0.9571682214736938, 0.8504363298416138]
+Nc1ccc(-c2cnc3ccccc3c2)cn1; ['Brc1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Ic1cnc2ccccc2c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Clc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Nc1ccc(Br)cn1', 'Ic1cnc2ccccc2c1', 'Nc1ccc(Cl)cn1', 'Brc1cnc2ccccc2c1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Clc1cnc2ccccc2c1', 'Nc1ccc(I)cn1', 'Ic1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'OB(O)c1cnc2ccccc2c1', 'Nc1ccc(Br)cn1', 'OB(O)c1cnc2ccccc2c1', 'Nc1ccc(Br)cn1']; [0.9999905228614807, 0.9999850988388062, 0.9999757409095764, 0.9999678134918213, 0.9999607801437378, 0.9999378323554993, 0.9998053908348083, 0.9997836351394653, 0.9997397065162659, 0.9994218349456787, 0.9990385174751282, 0.9988244771957397, 0.9986500144004822, 0.9892176985740662, 0.9455080032348633]
+CN(C)C(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CNC']; ['Nc1ccc(Br)cn1', 'CN(C)C(=O)c1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'CN(C)C(=O)c1ccc(I)cc1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(-c2ccc(C(=O)O)cc2)cn1']; [1.0, 0.9999998211860657, 0.9999997019767761, 0.9999992847442627, 0.9999982714653015, 0.9999959468841553, 0.999995231628418, 0.9999927282333374, 0.9999734163284302, 0.9998525381088257, 0.9990049600601196]
+Nc1ccc(-c2cc(-c3ccccc3)[nH]n2)cn1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc(N)nc1; [None]; [None]; [0]
-Nc1ccc(Cc2nc3c(F)c(F)ccc3[nH]2)cn1; [None]; [None]; [0]
+Nc1ccc(-c2scc3c2OCCO3)cn1; ['CC1(C)OB(c2scc3c2OCCO3)OC1(C)C', 'CC1(C)OB(c2scc3c2OCCO3)OC1(C)C', 'Nc1ccc(Br)cn1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'c1scc2c1OCCO2']; [0.9999880194664001, 0.9999868273735046, 0.9999775290489197]
+COc1cccc(C(=O)Nc2ccc(N)nc2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1']; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1']; [0.9995925426483154, 0.99856036901474]
+CC1(COc2ccc(N)nc2)COC1; ['CC1(CI)COC1', 'CC1(CBr)COC1', 'Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1', 'CC1(CCl)COC1', 'CC1(CO)COC1', 'CC1(CO)COC1']; ['Nc1ccc(O)cn1', 'Nc1ccc(O)cn1', 'Nc1ccc(O)cn1', 'Nc1ccc(O)cn1', 'Nc1ccc(O)cn1', 'Nc1ccc(F)cn1']; [0.9991176724433899, 0.9981657266616821, 0.9947386384010315, 0.9907168745994568, 0.9547954201698303, 0.9479341506958008]
+Nc1ccc(-c2cc3ccccc3s2)cn1; ['Brc1cc2ccccc2s1', 'Brc1cc2ccccc2s1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Ic1cc2ccccc2s1', 'OB(O)c1cc2ccccc2s1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'OB(O)c1cc2ccccc2s1', 'c1ccc2sccc2c1']; [0.9999756813049316, 0.999968409538269, 0.9999655485153198, 0.9997413158416748, 0.9997345209121704, 0.9996650218963623, 0.9987711906433105, 0.9547473192214966]
+CSc1ccc(-c2ccc(N)nc2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CSc1ccc(I)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Cl)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(I)cc1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CSc1ccc(Br)cc1', 'Nc1ccc(Cl)cn1', 'CSc1ccc(I)cc1', 'Nc1ccc(B(O)O)cn1', 'CSc1ccc(Cl)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.9999948740005493, 0.9999850988388062, 0.9999808669090271, 0.9999774694442749, 0.9999474287033081, 0.9998732805252075, 0.9998631477355957, 0.9998131990432739, 0.9993070363998413, 0.9992740154266357, 0.9984614849090576, 0.9979260563850403, 0.9929093718528748, 0.9923771023750305]
+CC(C)(C)c1ccc(-c2ccc(N)nc2)cn1; ['CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999948740005493, 0.9999948740005493, 0.9999903440475464, 0.9999525547027588, 0.999910295009613, 0.9998523592948914, 0.9995352029800415, 0.9995352029800415, 0.9966182708740234, 0.9817869663238525]
+CCN1CCN(Cc2ccc(-c3ccc(N)nc3)cc2)CC1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['CCN1CCN(Cc2ccc(Br)cc2)CC1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.999992847442627, 0.9999878406524658, 0.9999591112136841, 0.999884843826294, 0.9998644590377808, 0.9991670846939087, 0.8895713090896606]
+Nc1ccc(-c2ccn(-c3cccc(Cl)c3)n2)cn1; [None]; [None]; [0]
+Cc1cc(-c2ccc(N)nc2)nc(N)n1; ['Cc1cc(Br)nc(N)n1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1cc(Cl)nc(N)n1', 'Cc1ccnc(N)n1', 'Cc1cc(Cl)nc(N)n1', 'Cc1cc(Br)nc(N)n1']; ['Nc1ccc(B(O)O)cn1', 'Cc1cc(Cl)nc(N)n1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999973177909851, 0.9999954700469971, 0.9999876022338867, 0.999847412109375, 0.9995084404945374, 0.9983352422714233]
+Nc1ccc(-c2ccc3c(c2)CCC(=O)N3)cn1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(Br)cn1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999878406524658, 0.9999828338623047, 0.9999780654907227, 0.9999513626098633, 0.9998810291290283, 0.9998729825019836, 0.999842643737793, 0.9997926354408264, 0.9995542764663696, 0.9974982738494873, 0.9917566776275635]
+Nc1ccc(-c2ncc(Br)cn2)cn1; ['Brc1cnc(I)nc1', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ncc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9999474287033081, 0.9998527765274048, 0.9993189573287964, 0.9979844093322754, 0.9967694878578186, 0.9958221912384033]
+Nc1ccc(-c2ccc(F)cc2Cl)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Fc1ccc(Br)c(Cl)c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Fc1ccc(I)c(Cl)c1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Fc1ccc(Cl)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'Nc1ccc(Cl)cn1', 'Fc1cccc(Cl)c1']; ['Fc1ccc(Br)c(Cl)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Fc1ccc(I)c(Cl)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'OB(O)c1ccc(F)cc1Cl', 'Nc1ccc(Br)cn1']; [0.9999980926513672, 0.9999974966049194, 0.9999966621398926, 0.9999856948852539, 0.999981164932251, 0.9999806880950928, 0.9999528527259827, 0.9998980164527893, 0.9998074769973755, 0.9995028972625732, 0.9979736804962158, 0.9943069219589233, 0.9941673278808594, 0.9097033739089966]
+COc1ccc(-c2ccc(N)nc2)cc1OC; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(I)cc1OC', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(Br)cc1OC']; ['COc1ccc(Br)cc1OC', 'Nc1ccc(Br)cn1', 'COc1ccc(I)cc1OC', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'COc1ccc(Cl)cc1OC', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999983310699463, 0.9999967813491821, 0.999991774559021, 0.9999852180480957, 0.999972403049469, 0.9999535083770752, 0.9999074935913086, 0.9999049305915833, 0.9998525977134705, 0.9997822046279907, 0.9995609521865845, 0.9986358880996704, 0.9918351173400879]
+COc1ccc(CNc2ccc(N)nc2)cc1; ['COc1ccc(CBr)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1']; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1ccc(I)cn1', 'Nc1ccc(N)nc1', 'Nc1ccc(F)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1']; [0.9994351863861084, 0.997562825679779, 0.9950047135353088, 0.9696294069290161, 0.9633516073226929, 0.9115651845932007, 0.8561105728149414]
+CCc1ccc(-c2ccc(N)nc2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCc1ccc(I)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Cl)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1']; ['Nc1ccc(Br)cn1', 'CCc1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'CCc1ccc(I)cc1', 'Nc1ccc(B(O)O)cn1', 'CCc1ccc(Cl)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999980926513672, 0.9999948740005493, 0.9999939203262329, 0.999989926815033, 0.9999858736991882, 0.9999337196350098, 0.9999269247055054, 0.9999129772186279, 0.9998014569282532, 0.9997622966766357, 0.9989914298057556, 0.9985084533691406, 0.9952960014343262, 0.8208900690078735]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccc(N)nc2)cc1; ['C[C@H]1CCCN1']; ['Nc1ccc(-c2ccc(C(=O)O)cc2)cn1']; [0.9999734163284302]
+COc1cc(-c2ccc(N)nc2)ccc1N1CCOCC1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1']; ['COc1cc(Br)ccc1N1CCOCC1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [1.0, 0.9999986886978149, 0.9999980330467224, 0.9999929070472717]
+Nc1ccc(-c2ccc(Cl)cc2Cl)cn1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc([Mg]Br)c(Cl)c1', 'Nc1ccc(Cl)cn1', 'Clc1ccc(Br)c(Cl)c1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Clc1ccc(Br)c(Cl)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Clc1ccc(I)c(Cl)c1', 'Nc1ccc(Cl)cn1', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccc(Cl)c(Cl)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ccc(Br)cn1']; [0.9999847412109375, 0.999983012676239, 0.9999792575836182, 0.9999291896820068, 0.999871015548706, 0.9998466372489929, 0.9997934103012085, 0.999740719795227, 0.998960018157959, 0.9980161190032959, 0.99396812915802, 0.9806272983551025, 0.9753677845001221, 0.9601407051086426]
 Nc1ccc(NC2CN(C(=O)C3CC3)C2)cn1; [None]; [None]; [0]
-Nc1ccc(-c2cc(N)nc3[nH]ccc23)cn1; [None]; [None]; [0]
+Nc1ccc(-c2cc3ccccn3n2)cn1; ['Brc1cc2ccccn2n1', 'Brc1cc2ccccn2n1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1cc2ccccn2n1']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'Clc1cc2ccccn2n1', 'Nc1ccc(B(O)O)cn1']; [0.9999991655349731, 0.9999949932098389, 0.9999944567680359, 0.999993622303009]
+CC1(C)Cc2cc(-c3ccc(N)nc3)ccc2O1; [None]; [None]; [0]
+Nc1ccc(-c2ncc3cccn3n2)cn1; ['Clc1ncc2cccn2n1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C']; ['Nc1ccc(B(O)O)cn1', 'Clc1ncc2cccn2n1']; [0.999863862991333, 0.9997931718826294]
+Cn1cc(-c2ccc(N)nc2)c(C(F)(F)F)n1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(Cl)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; ['Cn1cc(I)c(C(F)(F)F)n1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Nc1ccc(I)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Cn1cc(Cl)c(C(F)(F)F)n1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999978542327881, 0.9999970197677612, 0.9999969601631165, 0.9999966621398926, 0.9999949932098389, 0.9999898672103882, 0.9999829530715942, 0.9999777674674988, 0.9999724626541138, 0.9999604225158691, 0.9999573230743408, 0.9999386668205261, 0.9997246265411377, 0.998630166053772, 0.9964132308959961]
+Nc1ccc(-c2cccc3ccc(O)cc23)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Nc1ccc(B(O)O)cn1']; ['Oc1ccc2cccc(Br)c2c1', 'Nc1ccc(Br)cn1', 'Oc1ccc2cccc(I)c2c1', 'Nc1ccc(I)cn1', 'Oc1ccc2cccc(Br)c2c1']; [0.9999963045120239, 0.9999865293502808, 0.9999700784683228, 0.9999432563781738, 0.9998111128807068]
+COc1ccc2cccc(-c3ccc(N)nc3)c2c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(Br)c2c1']; ['COc1ccc2cccc(Br)c2c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999992847442627, 0.9999473094940186, 0.990201473236084]
+COc1cc(F)c(-c2ccc(N)nc2)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1ccc(F)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'COc1cc(F)c(Br)cc1OC', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999938011169434, 0.9999858140945435, 0.9999516010284424, 0.9999352693557739, 0.9998586773872375, 0.9997720718383789, 0.999457836151123, 0.9966261386871338, 0.9169762134552002, 0.8883827924728394]
+COc1cc(-c2ccc(N)nc2)ccc1Cl; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'Nc1ccc(Br)cn1', 'COc1cc(I)ccc1Cl', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1']; [1.0, 0.9999997615814209, 0.9999997019767761, 0.9999990463256836, 0.9999980926513672, 0.9999945163726807, 0.9999916553497314, 0.9999901652336121, 0.9999822974205017, 0.9997676610946655, 0.9991974830627441, 0.9975264072418213]
+Cc1csc2c(-c3ccc(N)nc3)ncnc12; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1csc2c(Cl)ncnc12']; ['Cc1csc2c(Cl)ncnc12', 'Nc1ccc(B(O)O)cn1']; [0.9999150633811951, 0.9998651742935181]
+Nc1ccc(-c2ncc(Cl)cn2)cn1; ['Clc1cnc(I)nc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1', 'CSc1ncc(Cl)cn1']; ['Nc1ccc(B(O)O)cn1', 'Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9998259544372559, 0.9998039603233337, 0.9994749426841736, 0.9992718696594238, 0.9979763031005859, 0.972441554069519]
+Cc1cc(Nc2ccc(N)nc2)nn1C; ['Cc1cc(N)nn1C', 'Cc1cc(Cl)nn1C']; ['Nc1ccc(I)cn1', 'Nc1ccc(N)nc1']; [0.9974726438522339, 0.9929307699203491]
+Cc1nc(Nc2ccc(N)nc2)sc1C; ['Cc1nc(N)sc1C', 'Cc1nc(N)sc1C']; ['Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9999552965164185, 0.9998680949211121]
+CNC(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CN', 'CNC(=O)c1ccc(B(O)O)cc1', None, 'CNC(=O)c1ccc(Cl)cc1', 'CCOC(=O)c1ccc(-c2ccc(N)nc2)cc1', 'CN']; ['Nc1ccc(Br)cn1', 'CNC(=O)c1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'CNC(=O)c1ccc(I)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(-c2ccc(C(=O)O)cc2)cn1', 'Nc1ccc(Cl)cn1', None, 'Nc1ccc(B(O)O)cn1', 'CN', 'COC(=O)c1ccc(-c2ccc(N)nc2)cc1']; [0.9999996423721313, 0.9999992847442627, 0.9999986886978149, 0.9999967217445374, 0.999991774559021, 0.9999741315841675, 0.9999630451202393, 0.999893844127655, 0.9998476505279541, 0.9998347759246826, 0, 0.9994931221008301, 0.9987705945968628, 0.9984822273254395]
+CCNC(=O)c1ccc(-c2ccc(N)nc2)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCNC(=O)c1ccc(Br)nc1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCNC(=O)c1ccc(Cl)nc1']; ['CCNC(=O)c1ccc(Br)nc1', 'Nc1ccc(B(O)O)cn1', 'CCNC(=O)c1ccc(Cl)nc1', 'Nc1ccc(B(O)O)cn1']; [0.9999970197677612, 0.9999886751174927, 0.9996594190597534, 0.9994694590568542]
+COc1cc(-c2ccc(N)nc2)c(OC)cc1Br; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(I)c(OC)cc1Br', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['COc1cc(I)c(OC)cc1Br', 'Nc1ccc(B(O)O)cn1', 'COc1cc(Br)c(OC)cc1Br', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1']; [0.9999748468399048, 0.9999521970748901, 0.9982606172561646, 0.9976975917816162, 0.9946204423904419, 0.9790874123573303, 0.9579616785049438, 0.9353260397911072, 0.7913463115692139]
+Nc1ccc(-c2cc(N)nc3[nH]ccc23)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Cl)c2cc[nH]c2n1']; ['Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Cl)c2cc[nH]c2n1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1']; [0.9999933242797852, 0.9999080896377563, 0.9999030232429504, 0.998782753944397]
+CCNC(=O)N1CCC(c2ccc(N)nc2)CC1; [None]; [None]; [0]
+Nc1ccc(NC(=O)c2ccco2)cn1; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'NC(=O)c1ccco1']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1', 'Nc1ccc(Br)cn1']; [0.9956910610198975, 0.9803895354270935, 0.8700692653656006]
+NC(=O)c1ccc(Cc2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'NC(=O)c1ccc(CCl)cc1']; ['NC(=O)c1ccc(CBr)cc1', 'Nc1ccc(Br)cn1']; [0.9989907741546631, 0.9978796243667603]
+COc1cc(OC)cc(-c2ccc(N)nc2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1']; ['Nc1ccc(Br)cn1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'Nc1ccc(I)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.9999985694885254, 0.9999972581863403, 0.9999948740005493, 0.9999877214431763, 0.999983549118042, 0.9999659061431885, 0.9999562501907349, 0.9999424815177917, 0.9999291896820068, 0.9999203681945801, 0.9999175667762756, 0.9999059438705444, 0.9994044303894043, 0.9993389844894409, 0.9977958798408508, 0.9854521751403809]
 COc1cc(CS(C)(=O)=O)ccc1-c1ccc(N)nc1; [None]; [None]; [0]
+Nc1ccc(Cc2ccc(S(=O)(=O)CCO)cc2)cn1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1ccc(N)nc1)cn2C; ['COc1ccc2c(ccn2C)c1', 'COc1ccc2c(ccn2C)c1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1']; [0.9983804225921631, 0.9965949058532715]
+CC(C)(C)c1ccc(C(=O)Nc2ccc(N)nc2)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C(=O)Cl)cc1']; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1']; [0.9996540546417236, 0.9993294477462769]
+Nc1ccc(-c2ccc3cn[nH]c3c2)cn1; ['Ic1ccc2cn[nH]c2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Brc1ccc2cn[nH]c2c1', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Brc1ccc2cn[nH]c2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Ic1ccc2cn[nH]c2c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1']; ['Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Ic1ccc2cn[nH]c2c1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1ccc(Br)cn1', 'Clc1ccc2cn[nH]c2c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.9999940395355225, 0.99998939037323, 0.9999872446060181, 0.9999870657920837, 0.9999804496765137, 0.9999717473983765, 0.9999715089797974, 0.9999424815177917, 0.9999356269836426, 0.9998839497566223, 0.9997341632843018, 0.9996922016143799, 0.9995947480201721, 0.9991775751113892, 0.9889006614685059]
+CO[C@@H]1CC[C@@H](c2ccc(N)nc2)CC1; [None]; [None]; [0]
+COc1ccc2oc(-c3ccc(N)nc3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(B(O)O)cc2c1']; ['Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.9999603033065796, 0.9999368786811829]
 Nc1ccc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cn1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1ccc(N)nc1)cn2C; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3ccc(N)nc3)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2ccc(N)nc2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CNC(=O)c1ccc(OC)c(Br)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['CNC(=O)c1ccc(OC)c(Br)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999966621398926, 0.9999657869338989, 0.9532877802848816]
+Nc1ccc(-c2cc(-c3cccnc3)ccn2)cn1; [None]; [None]; [0]
+Nc1ccc(-c2cc3ccccc3o2)cn1; ['Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; ['OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1']; [0.9999049305915833, 0.9997643232345581]
+Nc1ccc(-c2ncc3sccc3n2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Clc1ncc2sccc2n1']; ['Clc1ncc2sccc2n1', 'Nc1ccc(B(O)O)cn1']; [0.9999362230300903, 0.9996631145477295]
+CC(C)c1nn(C)cc1-c1ccc(N)nc1; ['CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br']; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1']; [0.9999970197677612, 0.9999929666519165, 0.9999915361404419, 0.999988853931427, 0.9999587535858154, 0.9998940229415894, 0.9998413324356079, 0.94899582862854, 0.9297351241111755]
+C[NH+](C)Cc1ccc(-c2ccc(N)nc2)cc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2ccc(N)nc2)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['Nc1ccc(N)nc1']; [0.9997900724411011]
+COc1ccc2nc(-c3ccc(N)nc3)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1', 'COc1ccc(N)c([N+](=O)[O-])c1']; ['Nc1ccc(C(=O)O)cn1', 'Nc1ccc(C=O)cn1', 'Nc1ccc(C=O)cn1']; [0.9965446591377258, 0.9943637847900391, 0.9826666116714478]
+Nc1ccc(-c2cccc(NC(=O)N3CCCC3)c2)cn1; [None]; [None]; [0]
+Nc1ccc(-c2ccc(OC(F)(F)F)cc2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'FC(F)(F)Oc1ccc(I)cc1', 'Nc1ccc(Br)cn1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', None, 'Nc1ccc(Cl)cn1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', None]; ['FC(F)(F)Oc1ccc(Br)cc1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'Nc1ccc(B(O)O)cn1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', None, 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', None]; [1.0, 1.0, 1.0, 1.0, 0.9999995231628418, 0.9999992847442627, 0.999998927116394, 0.9999972581863403, 0.9999957084655762, 0.9999884963035583, 0, 0.9999816417694092, 0.9999758005142212, 0.999849796295166, 0]
 Nc1ccc(-c2ncn3c2CCCC3)cn1; [None]; [None]; [0]
+CCc1cccc(-c2ccc(N)nc2)n1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCc1cccc(Br)n1', 'CCc1cccc(Br)n1']; ['CCc1cccc(Br)n1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999959468841553, 0.9999468326568604, 0.8940754532814026]
+Cn1cc(Br)cc1-c1ccc(N)nc1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ccc(N)nc3)ccc12; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['Cc1n[nH]c2cc(Br)ccc12', 'Nc1ccc(Br)cn1', 'Cc1n[nH]c2cc(I)ccc12', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999997615814209, 0.9999997019767761, 0.9999994039535522, 0.9999988079071045, 0.9999985694885254, 0.9999979734420776, 0.9999977946281433, 0.9999970197677612, 0.9999966621398926, 0.9999966621398926, 0.9996517896652222]
+CN(C)c1ccc(-c2ccc(N)nc2)cn1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Cl)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(Br)cn1']; ['CN(C)c1ccc(Br)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'CN(C)c1ccc(I)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Br)cn1']; [0.999984622001648, 0.999984622001648, 0.999978244304657, 0.999978244304657, 0.9999066591262817, 0.9999066591262817, 0.9995205402374268, 0.9995205402374268, 0.9985907077789307, 0.9985907077789307, 0.997435450553894, 0.997435450553894, 0.9166558980941772]
+CC(=O)N1CCC(n2cc(-c3ccc(N)nc3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1']; [0.9999985694885254, 0.9999967217445374]
+Nc1ccc(-c2cccc(N3CCCC3=O)c2)cn1; ['Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Nc1ccc(Br)cn1']; ['O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Br)c1', 'Nc1ccc(Br)cn1', 'O=C1CCCN1c1cccc(Cl)c1', 'O=C1CCCN1c1cccc(Cl)c1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999943971633911, 0.9999921321868896, 0.999964714050293, 0.999954342842102, 0.9999300241470337, 0.9999136924743652, 0.9998850226402283, 0.9872845411300659]
+CC(C)(O)c1ccc2cc(-c3ccc(N)nc3)[nH]c2c1; [None]; [None]; [0]
+Nc1ccc(NC(=O)c2cccc(OC(F)(F)F)c2)cn1; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1']; [0.9999819993972778, 0.9998660087585449]
 Cn1nc(Cl)c2cc(-c3ccc(N)nc3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3ccc(N)nc3)cn2)CC1; [None]; [None]; [0]
-Nc1ccc(NC(=O)c2cccc(OC(F)(F)F)c2)cn1; [None]; [None]; [0]
+Nc1ccc(-c2ccc(CCO)cc2)cn1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; ['Nc1ccc(Br)cn1', 'OCCc1ccc(Br)cc1', 'Nc1ccc(I)cn1', 'Nc1ccc(Cl)cn1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Cl)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(Cl)cc1', 'OCCc1ccc(Br)cc1']; [0.9999969005584717, 0.9999936819076538, 0.9999912977218628, 0.9999796748161316, 0.9999761581420898, 0.9999223947525024, 0.9999023675918579, 0.9998666048049927, 0.9996906518936157, 0.9991707801818848, 0.9991648197174072, 0.9952114224433899, 0.8250493407249451]
+Cc1cc(-c2ccc(N)nc2)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1ccc(N)nc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc(N)nc2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3ccc(N)nc3)cc2)n1C; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1ccc(N)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(N)nc2)c(OC)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['CNC(=O)c1ccc(Br)c(OC)c1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Br)cn1']; [0.9999979734420776, 0.9999958276748657, 0.9999905824661255, 0.9999710917472839, 0.9998937845230103, 0.9396191835403442]
+COc1cc(S(C)(=O)=O)ccc1-c1ccc(N)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['COc1cc(S(C)(=O)=O)ccc1Br', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999977946281433, 0.9999468326568604, 0.9632745981216431]
+CCNC(=O)c1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCN', 'CCN']; ['CCNC(=O)c1ccc(Br)cc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(-c2ccc(C(=O)O)cc2)cn1', 'COC(=O)c1ccc(-c2ccc(N)nc2)cc1']; [0.9999985694885254, 0.9999858140945435, 0.9999830722808838, 0.9999558925628662, 0.999914288520813, 0.9998950362205505, 0.9997962713241577, 0.9987322092056274]
 COc1cc(-c2cnn(C)c2)ccc1-c1ccc(N)nc1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1ccc(N)nc1; [None]; [None]; [0]
-Cc1cc(Nc2ccc(N)nc2)ncc1F; [None]; [None]; [0]
+Cc1cc(Nc2ccc(N)nc2)ncc1F; ['Cc1cc(Br)ncc1F', 'Cc1cc(Cl)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F']; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1ccc(Br)cn1', 'Nc1ccc(I)cn1']; [0.9997379779815674, 0.9996172785758972, 0.9973982572555542, 0.9881584644317627]
+CN(C)C(=O)c1ccc(-c2ccc(N)nc2)nc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CN(C)C(=O)c1ccc(Br)nc1', 'CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['CN(C)C(=O)c1ccc(Br)nc1', 'CN(C)C(=O)c1ccc(Cl)nc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999980330467224, 0.9999568462371826, 0.9999271631240845, 0.9996282458305359, 0.96751868724823]
+CCNC(=O)Cc1ccc(-c2ccc(N)nc2)cc1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CCNC(=O)Cc1ccc(Br)cc1', 'CCNC(=O)Cc1ccc(Br)cc1']; ['CCNC(=O)Cc1ccc(Br)cc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999985694885254, 0.9999438524246216, 0.9720327258110046]
+Nc1ccc(Nc2ccccn2)cn1; ['Brc1ccccn1', 'Clc1ccccn1', 'Nc1ccc(I)cn1', 'Nc1ccc(Br)cn1', 'Fc1ccccn1']; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1ccccn1', 'Nc1ccccn1', 'Nc1ccc(N)nc1']; [0.990397572517395, 0.9525889158248901, 0.9283058643341064, 0.9190627336502075, 0.8681883811950684]
+Nc1ccc(Nc2ccc(F)cn2)cn1; ['Fc1ccc(Br)nc1', 'Fc1ccc(Cl)nc1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1', 'Nc1ccc(F)cn1', 'Fc1ccc(F)nc1']; ['Nc1ccc(N)nc1', 'Nc1ccc(N)nc1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc(I)cn1', 'Nc1ccc(N)nc1']; [0.998775839805603, 0.997256875038147, 0.9947748184204102, 0.9917905330657959, 0.9763046503067017, 0.9006361961364746]
+CS(=O)(=O)c1ccc(Cl)c(-c2ccc(N)nc2)c1; ['CC1(C)OB(c2ccc(N)nc2)OC1(C)C', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Cl)c1', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(B(O)O)cn1', 'Nc1ccc(Br)cn1']; [0.9999979734420776, 0.9999107718467712, 0.9924163222312927, 0.8772144913673401]
 Cn1nc(-c2ccc(N)nc2)cc1C(C)(C)O; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2ccc(N)nc2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1ccc(N)nc1; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-COC(C)(C)CCc1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cc3cccc(C(N)=O)c3[nH]2)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(Cc3cc(F)cc(F)c3)[nH]c12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+CCOc1ccccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+COC(C)(C)CCc1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccccc3OC(F)(F)F)[nH]c12; ['NC(=O)c1cccc2cc[nH]c12']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.9746177196502686]
 NC(=O)c1cccc2cc(-c3ccnc4ccccc34)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(Cc3cc(F)cc(F)c3)[nH]c12; [None]; [None]; [0]
+CCn1cc(-c2cc3cccc(C(N)=O)c3[nH]2)cn1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cc2cccc(C(N)=O)c2[nH]1; ['NC(=O)c1cccc2cc[nH]c12']; ['NC(=O)c1ccccc1B(O)O']; [0.824085533618927]
 NC(=O)c1cccc2cc(-c3cccc(C(F)(F)F)c3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccccc3Br)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccccc3OC(F)(F)F)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ccccc3C(=O)[O-])[nH]c12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cnn(Cc4ccccc4)c3)[nH]c12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc4cccc(C(N)=O)c4[nH]3)cc2c1=O; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cnc(-c4ccccc4)[nH]3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc([C@@H](N)c3ccco3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cnn(CCO)c3)[nH]c12; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc3cccc(C(N)=O)c3[nH]2)cs1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc(NC(=O)c4ccccc4)c3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cc(Cl)ccc3Cl)[nH]c12; ['Clc1ccc(Cl)c(I)c1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9522770643234253]
+CC(C)(C)c1nc(-c2cc3cccc(C(N)=O)c3[nH]2)cs1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-n3ncc4cccc(F)c4c3=O)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cnn(CCO)c3)[nH]c12; [None]; [None]; [0]
 COc1cnc(-c2cc3cccc(C(N)=O)c3[nH]2)nc1; [None]; [None]; [0]
 CC(C)C(=O)COc1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cnc4ccccn34)[nH]c12; [None]; [None]; [0]
+Cc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)c(Br)c1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 CNc1nc(C)c(-c2cc3cccc(C(N)=O)c3[nH]2)s1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cnc4ccccn34)[nH]c12; [None]; [None]; [0]
 Cc1nc(C)c(-c2cc3cccc(C(N)=O)c3[nH]2)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cnc4cccnn34)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cccc(Br)c3)[nH]c12; ['NC(=O)c1cccc2cc[nH]c12']; ['OB(O)c1cccc(Br)c1']; [0.9952294826507568]
 NC(=O)c1cccc2cc(-c3c(Cl)cccc3Cl)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc(Cn4cncn4)c3)[nH]c12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(NCc3cccnc3)[nH]c12; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
 Cc1c(-c2cc3cccc(C(N)=O)c3[nH]2)sc(=O)n1C; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccnc(N)n3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cnn4ncccc34)[nH]c12; [None]; [None]; [0]
-COc1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccnc(N)n3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ccc4ccccc4c3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(Nc3cccnc3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-n3cnc4ccccc43)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(NCCc3c[nH]cn3)[nH]c12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc3cccc(C(N)=O)c3[nH]2)o1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(NC(=O)c3cccs3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc(CC(=O)[O-])c3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cncc4ccccc34)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(NCCc3ccccc3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(NCCc3c[nH]cn3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3c[nH]nc3C(F)(F)F)[nH]c12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cc4cccc(C(N)=O)c4[nH]3)cc2)cn1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ccc4c(N)[nH]nc4c3)[nH]c12; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc4cccc(C(N)=O)c4[nH]3)ccc21; ['Cn1ncc2cc(I)ccc21']; ['NC(=O)c1cccc2cc[nH]c12']; [0.8598133325576782]
+NC(=O)c1cccc2cc(NCCc3ccccc3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cccc(O)c3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(-c4cn[nH]c4)cc3)[nH]c12; [None]; [None]; [0]
 CN1c2ccc(-c3cc4cccc(C(N)=O)c4[nH]3)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4cccc(C(N)=O)c4[nH]3)ccc21; [None]; [None]; [0]
 CCCn1cnc(-c2cc3cccc(C(N)=O)c3[nH]2)n1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cccc(O)c3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc(CO)c3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(NCc3ccc(Cl)cc3)[nH]c12; [None]; [None]; [0]
 COc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)ccc1C(=O)[O-]; [None]; [None]; [0]
-NC(=O)c1cccc2cc(Nc3ccncc3)[nH]c12; [None]; [None]; [0]
 CC(C)n1cc(-c2cc3cccc(C(N)=O)c3[nH]2)nn1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(NCc3ccccc3F)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(Nc3ccncc3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(CCc3c[nH]nn3)[nH]c12; [None]; [None]; [0]
 CSc1nc(-c2cc3cccc(C(N)=O)c3[nH]2)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(CCc3c[nH]nn3)[nH]c12; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; ['N#CCCc1cccc(B(O)O)c1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9917253255844116]
 NC(=O)c1cccc2cc(-c3csc4ncncc34)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cc4ccccc4[nH]3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3csc(N)n3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(F)cc3C(F)(F)F)[nH]c12; ['Fc1ccc(I)c(C(F)(F)F)c1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9746026992797852]
+NC(=O)c1cccc2cc(-c3cncnc3N)[nH]c12; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cc4cccc(C(N)=O)c4[nH]3)cc2s1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
+NC(=O)CCCc1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc(F)cc3C(F)(F)F)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(Oc3ccccn3)[nH]c12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(NC(=O)c3c(Cl)cccc3Cl)[nH]c12; [None]; [None]; [0]
-Cn1cc(-c2cc3cccc(C(N)=O)c3[nH]2)c2ccccc21; [None]; [None]; [0]
 CC(C)(COc1cc2cccc(C(N)=O)c2[nH]1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9555395245552063]
 CS(=O)(=O)C1CCN(c2cc3cccc(C(N)=O)c3[nH]2)CC1; [None]; [None]; [0]
-COc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1Cl; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cnn4ccccc34)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)[nH]c12; [None]; [None]; [0]
+Cn1cc(-c2cc3cccc(C(N)=O)c3[nH]2)c2ccccc21; [None]; [None]; [0]
 CCCn1cc(-c2cc3cccc(C(N)=O)c3[nH]2)cn1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cnn4ccccc34)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cc[nH]c(=O)c3)[nH]c12; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc4c3C(=O)CC4)[nH]c12; [None]; [None]; [0]
 COc1cc(CCc2cc3cccc(C(N)=O)c3[nH]2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 C[C@@H](Oc1cc2cccc(C(N)=O)c2[nH]1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 CCN(CC)c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cc4c(=O)[nH]ccc4o3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cc4c(=O)[nH]cc(Br)c4s3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3c[nH]c4ccccc34)[nH]c12; [None]; [None]; [0]
 COc1ccncc1Nc1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cc4c(=O)[nH]cc(Br)c4s3)[nH]c12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['NC(=O)c1cccc2cc[nH]c12', 'NC(=O)c1cccc2cc[nH]c12']; [0.9998694658279419, 0.833916187286377]
 NC(=O)c1cccc2cc(Nc3cnccc3-c3ccccc3)[nH]c12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cnc4[nH]ccc4c3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3c[nH]c4cnccc34)[nH]c12; [None]; [None]; [0]
+CC1(c2cc3cccc(C(N)=O)c3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(Nc3cnc4ccccc4c3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc([C@H](CO)Cc3ccccc3)[nH]c12; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cnc4[nH]ccc4c3)[nH]c12; [None]; [None]; [0]
-CC1(c2cc3cccc(C(N)=O)c3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cc2cccc(C(N)=O)c2[nH]1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc(N4CCOCC4)cc3)[nH]c12; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 Cc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(N4CCOCC4)cc3)[nH]c12; [None]; [None]; [0]
 C[C@H](Nc1cc2cccc(C(N)=O)c2[nH]1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-n3ccc(CO)n3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-n3cnc(CCO)c3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3c(F)cccc3Cl)[nH]c12; ['Fc1cccc(Cl)c1I']; ['NC(=O)c1cccc2cc[nH]c12']; [0.8130050897598267]
 C[C@H](Nc1cc2cccc(C(N)=O)c2[nH]1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cc2cccc(C(N)=O)c2[nH]1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-n3cnc(CCO)c3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-n3ncc4ccccc43)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-n3ncc4c(O)cccc43)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cccnc3O)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ccc(-n4cncn4)cc3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-n3ncc4c(O)cccc43)[nH]c12; [None]; [None]; [0]
+C[C@@H](Nc1cc2cccc(C(N)=O)c2[nH]1)C(C)(C)O; [None]; [None]; [0]
+COc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9517619609832764]
 NC(=O)c1cccc2cc(-c3nc4ccc(O)cc4[nH]3)[nH]c12; [None]; [None]; [0]
 CSc1nc(C)c(-c2cc3cccc(C(N)=O)c3[nH]2)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)c(OC)c1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc(C(=O)c4ccccc4)cc3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(C(=O)c4ccccc4)cc3)[nH]c12; ['NC(=O)c1cccc2cc[nH]c12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9991042017936707]
 CC(C)n1cnnc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3nncn3C3CC3)[nH]c12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc3cccc(C(N)=O)c3[nH]2)CC1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(CCC(=O)NCc3ccccn3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ccn(CC[NH3+])n3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(Cc3nnc4ccc(-c5ccccc5)nn34)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(CCC(=O)NCc3ccccn3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(CS(=O)(=O)NCc3ccccn3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3nnc(N)s3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cn(Cc4ccccc4)nn3)[nH]c12; [None]; [None]; [0]
 CCc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cnc(N)s3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3nnc(N)s3)[nH]c12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc3cccc(C(N)=O)c3[nH]2)CC1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(Oc3ccc(C[NH3+])cc3F)[nH]c12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3nc4ccccc4s3)[nH]c12; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cc4cccc(C(N)=O)c4[nH]3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4cccc(C(N)=O)c4[nH]3)c2)cc1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cc4cccc(C(N)=O)c4[nH]3)nc2NC1=O; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc4ccsc34)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cccc4nnsc34)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cncc(N)n3)[nH]c12; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cc3cccc(C(N)=O)c3[nH]2)[nH]1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ncc4ccccc4n3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cccc4nnsc34)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3nc(N)c4ccccc4n3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ncc4ccccc4n3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3c[nH]c4cccnc34)[nH]c12; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc2cccc(C(N)=O)c2[nH]1; ['COc1ccc(C#N)cc1B(O)O']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9718329906463623]
+NC(=O)c1cccc2cc(-c3cn(CCO)cn3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ncc4cc[nH]c4n3)[nH]c12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc3cccc(C(N)=O)c3[nH]2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9760820269584656]
 COc1ccc(Oc2cc3cccc(C(N)=O)c3[nH]2)c(F)c1F; [None]; [None]; [0]
+COc1ncccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2cc3cccc(C(N)=O)c3[nH]2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc3cccc(C(N)=O)c3[nH]2)cnn1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(N3CCC(c4nc5ccccc5[nH]4)CC3)[nH]c12; [None]; [None]; [0]
+CN(C)c1cc(-c2cc3cccc(C(N)=O)c3[nH]2)cnn1; [None]; [None]; [0]
+CCOc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; ['CCOc1ccc(B(O)O)cc1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9998530149459839]
+CN(C)S(=O)(=O)c1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(N3CC=C(c4c[nH]c5ccccc45)CC3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cccc(NC(=O)C4CCNCC4)c3)[nH]c12; [None]; [None]; [0]
-CCOc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-COc1ncccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cccc(NC(=O)C4CCNCC4)c3)[nH]c12; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
-COc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)cc(OC)c1OC; [None]; [None]; [0]
+COc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['NC(=O)c1cccc2cc[nH]c12']; [0.8219327926635742]
+COc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; ['COc1ccc(B(O)O)cc1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9995684623718262]
+Cc1nc(C(C)(C)O)sc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 Cc1ccc2ncn(-c3cc4cccc(C(N)=O)c4[nH]3)c2c1; [None]; [None]; [0]
-COc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc(NC(=O)C4CC4)c3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3nc4ccccc4[nH]3)[nH]c12; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc4cccc(C(N)=O)c4[nH]3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(Nc2cc3cccc(C(N)=O)c3[nH]2)sn1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-n3ncc4ccccc4c3=O)[nH]c12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cn1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ccc(C(=O)[O-])cc3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3nc4ccccc4[nH]3)[nH]c12; [None]; [None]; [0]
+Cc1cc(Nc2cc3cccc(C(N)=O)c3[nH]2)sn1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(Nc3ncccn3)[nH]c12; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3cc4cccc(C(N)=O)c4[nH]3)cn2)c1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ccc(C(=O)Nc4ccccc4)cc3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(Cc3nccc4ccccc34)[nH]c12; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cc4cccc(C(N)=O)c4[nH]3)cn2)c1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ccc(OCCO)cc3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(Nc3ncccn3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3nccc4ccccc34)[nH]c12; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cccc(C4CCNCC4)c3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ccc(C(=O)N4CCOCC4)cc3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc(C(=O)N4CCOCC4)cn3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(Nc3ccncn3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(C(=O)N4CCOCC4)cn3)[nH]c12; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc4c(c3)CS(=O)(=O)C4)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc(C(F)(F)F)cc3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cccc(C4CCNCC4)c3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(C(F)(F)F)cc3)[nH]c12; ['NC(=O)c1cccc2cc[nH]c12', 'FC(F)(F)c1ccc(I)cc1']; ['OB(O)c1ccc(C(F)(F)F)cc1', 'NC(=O)c1cccc2cc[nH]c12']; [0.9999642372131348, 0.9298263788223267]
 CN(C)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(Cc3ccccc3O)[nH]c12; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2cc3cccc(C(N)=O)c3[nH]2)CC1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(Cc3cnc(N)nc3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc4c(c3)CS(=O)(=O)C4)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc([C@H]3CCN(C(=O)c4ccccc4)C3)[nH]c12; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cc3cccc(C(N)=O)c3[nH]2)CC1; [None]; [None]; [0]
 CC(C)c1cc(-c2cc3cccc(C(N)=O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(Br)cc3)[nH]c12; ['NC(=O)c1cccc2cc[nH]c12']; ['OB(O)c1ccc(Br)cc1']; [0.9971703290939331]
 CCNS(=O)(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cc4cccc(C(N)=O)c4[nH]3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc(Br)cc3)[nH]c12; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccn4nccc4n3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3c[nH]c4ccccc34)[nH]c12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)c(C)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc2cccc(C(N)=O)c2[nH]1; ['COc1ccc(Cl)cc1B(O)O']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9697551131248474]
+CCN(CC)C(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc4c(c3)CCO4)[nH]c12; ['NC(=O)c1cccc2cc[nH]c12']; ['OB(O)c1ccc2c(c1)CCO2']; [0.992857038974762]
 COc1cc(OC)c(-c2cc3cccc(C(N)=O)c3[nH]2)cc1Cl; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cc4cccc(C(N)=O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc4c(c3)CCO4)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cc4ccccc4cn3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cc(-c4ccccc4)[nH]n3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccccc3-n3cccn3)[nH]c12; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cc(-c4ccccc4)[nH]n3)[nH]c12; [None]; [None]; [0]
 COc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)ccc1O; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3cc4cccc(C(N)=O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cnc4ccccc4c3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc4c3OCO4)[nH]c12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cn1; ['CC(C)(C)c1ccc(B(O)O)cn1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9951024055480957]
 NC(=O)c1cccc2cc(-c3scc4c3OCCO4)[nH]c12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cnc4ccccc4c3)[nH]c12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cn1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(Cc3nc4c(F)c(F)ccc4[nH]3)[nH]c12; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc3cccc(C(N)=O)c3[nH]2)CC1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccn(-c4cccc(Cl)c4)n3)[nH]c12; [None]; [None]; [0]
 CC1(COc2cc3cccc(C(N)=O)c3[nH]2)COC1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cc4cccc(C(N)=O)c4[nH]3)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cc4ccccc4s3)[nH]c12; [None]; [None]; [0]
+CSc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(F)cc3Cl)[nH]c12; ['Fc1ccc(I)c(Cl)c1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.8190150260925293]
 Cc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc(F)cc3Cl)[nH]c12; [None]; [None]; [0]
-CSc1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
-COc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1OC; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc4cccc(C(N)=O)c4[nH]3)cc2)CC1; [None]; [None]; [0]
+COc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9525701999664307]
+CCc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; ['CCc1ccc(B(O)O)cc1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9961729645729065]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ncc(Br)cn3)[nH]c12; [None]; [None]; [0]
-CCc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc4c(c3)CCC(=O)N4)[nH]c12; [None]; [None]; [0]
 COc1ccc(CNc2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ccc(Cl)cc3Cl)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(CCCn3cncn3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(NC3CN(C(=O)C4CC4)C3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ncc4cccn4n3)[nH]c12; [None]; [None]; [0]
 COc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cccc4ccc(O)cc34)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cc4ccccn4n3)[nH]c12; [None]; [None]; [0]
 Cn1cc(-c2cc3cccc(C(N)=O)c3[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc4cccc(C(N)=O)c4[nH]3)ccc2O1; [None]; [None]; [0]
 COc1ccc2cccc(-c3cc4cccc(C(N)=O)c4[nH]3)c2c1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cccc4ccc(O)cc34)[nH]c12; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cc4cccc(C(N)=O)c4[nH]3)ccc2O1; [None]; [None]; [0]
 COc1cc(F)c(-c2cc3cccc(C(N)=O)c3[nH]2)cc1OC; [None]; [None]; [0]
 COc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)ccc1Cl; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ncc(Cl)cn3)[nH]c12; [None]; [None]; [0]
 Cc1csc2c(-c3cc4cccc(C(N)=O)c4[nH]3)ncnc12; [None]; [None]; [0]
 Cc1nc(Nc2cc3cccc(C(N)=O)c3[nH]2)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2cc3cccc(C(N)=O)c3[nH]2)nn1C; [None]; [None]; [0]
-COc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)c(OC)cc1Br; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cc(N)nc4[nH]ccc34)[nH]c12; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ncc(Cl)cn3)[nH]c12; [None]; [None]; [0]
+Cc1cc(Nc2cc3cccc(C(N)=O)c3[nH]2)nn1C; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(Cc2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
+COc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)c(OC)cc1Br; [None]; [None]; [0]
 NC(=O)c1cccc2cc(Cc3ccc(S(=O)(=O)CCO)cc3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(NC(=O)c3ccco3)[nH]c12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cc3cccc(C(N)=O)c3[nH]2)CC1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; ['COc1cc(OC)cc(B(O)O)c1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9827622771263123]
 CCNC(=O)N1CCC(c2cc3cccc(C(N)=O)c3[nH]2)CC1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cc3cccc(C(N)=O)c3[nH]2)CC1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc4cn[nH]c4c3)[nH]c12; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)[nH]c12; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc3cccc(C(N)=O)c3[nH]1)cn2C; [None]; [None]; [0]
 COc1ccc2oc(-c3cc4cccc(C(N)=O)c4[nH]3)cc2c1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc4cn[nH]c4c3)[nH]c12; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
-CCn1cc(-c2cc3cccc(C(N)=O)c3[nH]2)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3cc(-c4cccnc4)ccn3)[nH]c12; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cc4ccccc4o3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3cc(-c4cccnc4)ccn3)[nH]c12; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ncc4sccc4n3)[nH]c12; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc(NC(=O)N4CCCC4)c3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(OC(F)(F)F)cc3)[nH]c12; ['FC(F)(F)Oc1ccc(I)cc1']; ['NC(=O)c1cccc2cc[nH]c12']; [0.9513326287269592]
 COc1ccc2nc(-c3cc4cccc(C(N)=O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc(OC(F)(F)F)cc3)[nH]c12; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cc4cccc(C(N)=O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
-CCc1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)n1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cc4cccc(C(N)=O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3ncn4c3CCCC4)[nH]c12; [None]; [None]; [0]
 Cc1cc(-c2cc3cccc(C(N)=O)c3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
+CCc1cccc(-c2cc3cccc(C(N)=O)c3[nH]2)n1; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cc4cccc(C(N)=O)c4[nH]3)ccc21; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc4cccc(C(N)=O)c4[nH]3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cc4cccc(C(N)=O)c4[nH]3)cn2)CC1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(-c3cccc(N4CCCC4=O)c3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(-c3ccc(CCO)cc3)[nH]c12; [None]; [None]; [0]
-NC(=O)c1cccc2cc(NC(=O)c3cccc(OC(F)(F)F)c3)[nH]c12; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cc4cccc(C(N)=O)c4[nH]3)ccc12; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)c(Cl)c1; [None]; [None]; [0]
+NC(=O)c1cccc2cc(NC(=O)c3cccc(OC(F)(F)F)c3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1cccc2cc(-c3ccc(CCO)cc3)[nH]c12; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cc4cccc(C(N)=O)c4[nH]3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)c(OC)c1; [None]; [None]; [0]
-Cn1nc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
+Cn1nc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)cc1; [None]; [None]; [0]
 NC(=O)c1cccc2cc(Nc3ccc(F)cn3)[nH]c12; [None]; [None]; [0]
-Cc1cc(Nc2cc3cccc(C(N)=O)c3[nH]2)ncc1F; [None]; [None]; [0]
 NC(=O)c1cccc2cc(Nc3ccccn3)[nH]c12; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc3cccc(C(N)=O)c3[nH]2)nc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cc3cccc(C(N)=O)c3[nH]2)c1; [None]; [None]; [0]
+Cc1cc(Nc2cc3cccc(C(N)=O)c3[nH]2)ncc1F; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999996423721313, 0.9999990463256836, 0.9994097352027893]
+CCOc1ccc(-c2cccc(C(N)=O)n2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999992847442627, 0.9999992251396179, 0.9999735355377197, 0.9999052286148071, 0.9978177547454834]
+COc1ncccc1-c1cccc(C(N)=O)n1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9947018027305603, 0.993525505065918, 0.9748991131782532, 0.9685225486755371]
+COc1cc(-c2cccc(C(N)=O)n2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999438524246216, 0.9999421834945679, 0.999869704246521, 0.9995290040969849, 0.9956179857254028]
+CS(=O)(=O)c1cccc(-c2cccc(C(N)=O)n2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999992251396179, 0.9999982118606567, 0.9999935626983643, 0.9999796152114868, 0.9999726414680481, 0.9970698356628418]
+NC(=O)c1cccc(-c2cccc(O)c2)n1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9996912479400635, 0.9992333650588989, 0.9990614056587219, 0.9943140745162964, 0.881588339805603]
 Cc1ccc(C(=O)NCCO)cc1-c1cc2cccc(C(N)=O)c2[nH]1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(O)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cccc(C(N)=O)n2)c1; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9877835512161255, 0.9755275249481201]
+Cc1ccc2ncn(-c3cccc(C(N)=O)n3)c2c1; [None]; [None]; [0]
+COc1ccc(-c2cccc(C(N)=O)n2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', None]; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', None]; [0.9999983310699463, 0.9999975562095642, 0.9999727010726929, 0.9999215006828308, 0.994162380695343, 0]
+NC(=O)c1cccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc(N3CCOCC3)cc2)n1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999998211860657, 0.9999998211860657, 0.9999984502792358, 0.9999924898147583, 0.9999921917915344, 0.9997484683990479]
+Cc1nc(C(C)(C)O)sc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2nc3ccccc3[nH]2)n1; [None, 'N']; [None, 'O=C(O)c1cccc(-c2nc3ccccc3[nH]2)n1']; [0, 0.854491114616394]
+NC(=O)c1cccc(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999994039535522, 0.9999982118606567, 0.9999562501907349, 0.9999469518661499, 0.9797492027282715]
+NC(=O)c1cccc(-c2nccc3ccccc23)n1; ['Brc1nccc2ccccc12']; ['NC(=O)c1cccc(Br)n1']; [0.9692074060440063]
+NC(=O)c1cccc(Nc2ncccn2)n1; ['NC(=O)c1cccc(Cl)n1']; ['Nc1ncccn1']; [0.997267484664917]
+NC(=O)c1cccc(-c2cccc(NC(=O)C3CC3)c2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc(C(=O)Nc3ccccc3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9999997615814209, 0.9999997615814209, 0.9999901056289673, 0.9999465942382812, 0.9973896741867065]
+CC(=O)NCc1ccc(-c2cccc(C(N)=O)n2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999992251396179, 0.999998152256012, 0.9999611377716064, 0.9998920559883118, 0.9748774170875549]
+NC(=O)c1cccc(-c2cccc(C3CCNCC3)c2)n1; ['Brc1cccc(C2CCNCC2)c1']; ['NC(=O)c1cccc(Br)n1']; [0.9994064569473267]
+N#Cc1cccc(Cn2cc(-c3cccc(C(N)=O)n3)cn2)c1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc(OCCO)cc2)n1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1']; [0.9999995827674866, 0.9999992847442627, 0.9999709129333496, 0.999860405921936]
+NC(=O)c1cccc(-c2ccc(C(=O)N3CCOCC3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1']; [0.9999998211860657, 0.9999995231628418, 0.9999985098838806, 0.9999843239784241, 0.9999570846557617, 0.9995719194412231, 0.9982340931892395]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cccc(C(N)=O)n3)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc3c(c2)CS(=O)(=O)C3)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc(C(F)(F)F)cc2)n1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'FC(F)(F)c1ccc(Br)cc1', None]; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'NC(=O)c1cccc(Br)n1', None]; [0.9999988079071045, 0.9999964833259583, 0.9999935626983643, 0.9999449849128723, 0.999170184135437, 0]
+CNS(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999973773956299, 0.9999943971633911, 0.999758780002594, 0.9996099472045898, 0.998231053352356, 0.9267038106918335]
+C[C@H](O)COc1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999994039535522, 0.9999986886978149, 0.9999761581420898, 0.9999245405197144, 0.9989402294158936]
+NC(=O)c1cccc(-c2ccc(C(=O)N3CCOCC3)cn2)n1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cccc(C(N)=O)n2)s1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999997019767761, 0.9999996423721313, 0.9999721050262451, 0.999902606010437, 0.9954992532730103]
+NC(=O)c1cccc(Cc2ccccc2O)n1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1']; [0.999588131904602, 0.9990987181663513, 0.9553670287132263]
+CCCOc1ccc(-c2cccc(C(N)=O)n2)nc1; ['CCCOc1ccc(Br)nc1']; ['NC(=O)c1cccc(Br)n1']; [0.9994625449180603]
+NC(=O)c1cccc(-c2ccc(Br)cc2)n1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', None]; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', None]; [0.999998927116394, 0.9999889135360718, 0.9998654127120972, 0.9985817074775696, 0]
+COc1ccc(Cc2cccc(C(N)=O)n2)cc1; ['COc1ccc(CBr)cc1']; ['NC(=O)c1cccc(Cl)n1']; [0.8672376275062561]
+CN(C)c1ccc(-c2cccc(C(N)=O)n2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999982118606567, 0.9999950528144836, 0.9833260774612427]
+CC(=O)N1CCCN(c2cccc(-c3cccc(C(N)=O)n3)c2)CC1; [None]; [None]; [0]
+NC(=O)c1cccc(Cc2cnc(N)nc2)n1; [None]; [None]; [0]
+NC(=O)c1cccc([C@H]2CCN(C(=O)c3ccccc3)C2)n1; [None]; [None]; [0]
+CC(C)c1cc(-c2cccc(C(N)=O)n2)nc(N)n1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999998807907104, 0.9999998211860657, 0.999996542930603, 0.9999940395355225, 0.9999790787696838, 0.9998445510864258]
+NC(=O)c1cccc(-c2ccccc2-n2cccn2)n1; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1']; [0.9994107484817505, 0.9993349313735962, 0.987289547920227, 0.9831088185310364]
+CNS(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9977182149887085, 0.9967434406280518, 0.9953463077545166, 0.9945169687271118, 0.9513348340988159]
+NC(=O)c1cccc(-c2c[nH]c3ccccc23)n1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9933595657348633, 0.9914020299911499, 0.9065062999725342]
+COc1ccc(Cl)cc1-c1cccc(C(N)=O)n1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999052286148071, 0.999754786491394, 0.9993067979812622, 0.9965308904647827, 0.9703818559646606]
+Cc1c(C(=O)[O-])cccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccn3nccc3n2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc3c(c2)CCO3)n1; ['NC(=O)c1cccc(Br)n1', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'NC(=O)c1cccc(Cl)n1', 'Brc1ccc2c(c1)CCO2', 'NC(=O)c1ccccn1', 'Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2']; ['OB(O)c1ccc2c(c1)CCO2', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1ccc2c(c1)CCO2', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1ccc2c(c1)CCO2', 'NC(=O)c1ccccn1', 'NC(=O)c1ccccn1']; [0.999998152256012, 0.9999974966049194, 0.9999862909317017, 0.9999821186065674, 0.9999654293060303, 0.9998074769973755, 0.9941776990890503, 0.9395475387573242, 0.919398307800293]
+COc1cc(OC)c(-c2cccc(C(N)=O)n2)cc1Cl; ['COc1cc(OC)c(Br)cc1Cl']; ['NC(=O)c1cccc(Br)n1']; [0.98919677734375]
+CC(=O)Nc1cccc(-c2cccc(C(N)=O)n2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9999170899391174, 0.9998300075531006, 0.9995061159133911, 0.99801105260849]
+COc1cc(-c2cccc(C(N)=O)n2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9999557137489319, 0.9999366998672485, 0.9989525079727173, 0.9981858730316162]
+NC(=O)c1cccc(-c2cccc3c2OCO3)n1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2']; [0.9998435378074646, 0.9995242357254028, 0.9992498159408569, 0.9978445172309875]
+CC(C)(C)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [1.0, 0.9999995827674866, 0.999993085861206, 0.9999576807022095, 0.9993858337402344]
+NC(=O)c1cccc(Cc2nc3ccc(F)c(F)c3[nH]2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(Cc2nc3c(F)c(F)ccc3[nH]2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cnc3ccccc3c2)n1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'Brc1cnc2ccccc2c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'NC(=O)c1cccc(Br)n1']; [0.9999967813491821, 0.9999964237213135, 0.9995402097702026, 0.9989886283874512, 0.9910281896591187]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [1.0, 0.9999997615814209, 0.9999940991401672, 0.9999874830245972]
+CC(C)c1ccc2nc(-c3cccc(C(N)=O)n3)[nH]c2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc(C(N)=O)n2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999980330467224, 0.9999966621398926, 0.9997988939285278, 0.9994595050811768, 0.9970257878303528]
+NC(=O)c1cccc(CCCc2ccccc2)n1; ['NC=O']; ['c1ccc(CCCc2ccccn2)cc1']; [0.8661230802536011]
+NC(=O)c1cccc(Cc2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
+Cc1ccc(-c2cccc(C(N)=O)n2)c(=O)[nH]1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cc(-c3ccccc3)[nH]n2)n1; [None]; [None]; [0]
+CSc1ccc(-c2cccc(C(N)=O)n2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', None]; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', None]; [0.9999955892562866, 0.9999867677688599, 0.9998689889907837, 0.9997904896736145, 0]
+COc1cccc(C(=O)Nc2cccc(C(N)=O)n2)c1; ['COc1cccc(C(N)=O)c1', 'COc1cccc(C(N)=O)c1', 'COc1cccc(C(N)=O)c1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1']; [0.9998736381530762, 0.9997323751449585, 0.9990136623382568]
+NC(=O)c1cccc(-c2ccn(-c3cccc(Cl)c3)n2)n1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cccc(C(N)=O)n3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999703764915466, 0.9999552965164185]
+Cc1cc(-c2cccc(C(N)=O)n2)nc(N)n1; ['Cc1cc(Br)nc(N)n1']; ['NC(=O)c1cccc(Br)n1']; [0.9771425724029541]
+NC(=O)c1cccc(-c2ccc(F)cc2Cl)n1; ['NC(=O)c1cccc(Br)n1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'NC(=O)c1cccc(Cl)n1']; ['OB(O)c1ccc(F)cc1Cl', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1ccc(F)cc1Cl']; [0.9999902248382568, 0.9999798536300659, 0.9995917081832886, 0.9987580180168152]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2csc(N)n2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cc3ccccc3s2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc3c(c2)CCC(=O)N3)n1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999179840087891, 0.9998619556427002, 0.9623377323150635]
+COc1ccc(-c2cccc(C(N)=O)n2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999873638153076, 0.9999785423278809, 0.9999592304229736, 0.9997369647026062, 0.9959386587142944]
+CCc1ccc(-c2cccc(C(N)=O)n2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999993443489075, 0.9999992251396179, 0.9997702836990356, 0.9997285604476929, 0.9932271242141724]
+NC(=O)c1cccc(-c2ccc(Cl)cc2Cl)n1; ['NC(=O)c1cccc(Br)n1', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'NC(=O)c1cccc(Cl)n1', None]; ['OB(O)c1ccc(Cl)cc1Cl', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1ccc(Cl)cc1Cl', None]; [0.999940037727356, 0.9998575448989868, 0.9980610013008118, 0.9977828860282898, 0]
+CC[C@@H](CO)c1cccc(C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cc3ccccn3n2)n1; ['Brc1cc2ccccn2n1']; ['NC(=O)c1cccc(Br)n1']; [0.8299891948699951]
+NC(=O)c1cccc(-c2ncc(Br)cn2)n1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
+NC(=O)c1cccc([C@H](CO)Cc2ccccc2)n1; [None]; [None]; [0]
+COc1cc(-c2cccc(C(N)=O)n2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1ccccn1']; [0.9999977350234985, 0.9999914169311523, 0.9998481273651123, 0.8274619579315186]
+NC(=O)c1cccc(CCCn2cncn2)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cccc(C(N)=O)n3)ccc2O1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cccc3ccc(O)cc23)n1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['NC(=O)c1cccc(Br)n1']; [0.9667012095451355]
+COc1ccc2cccc(-c3cccc(C(N)=O)n3)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cccc(C(N)=O)n2)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999361634254456, 0.9998743534088135, 0.9997676610946655, 0.998252272605896, 0.9324367046356201]
+COc1cc(-c2cccc(C(N)=O)n2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1ccccn1']; [0.9999995827674866, 0.9999974966049194, 0.9999886751174927, 0.9998915195465088, 0.9998065829277039, 0.9141454696655273]
+NC(=O)c1cccc(-c2ncc3cccn3n2)n1; [None]; [None]; [0]
+Cn1cc(-c2cccc(C(N)=O)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cnn(CCO)c2)n1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1']; [0.9999117851257324, 0.9995091557502747, 0.9991075992584229]
+CCNC(=O)c1ccc(-c2cccc(C(N)=O)n2)nc1; ['CCNC(=O)c1ccc(Br)nc1']; ['NC(=O)c1cccc(Br)n1']; [0.9986011385917664]
+CNC(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999998211860657, 0.9999992847442627, 0.9999907612800598, 0.999984860420227, 0.9956316351890564]
+NC(=O)c1cccc(-c2cc(N)nc3[nH]ccc23)n1; [None]; [None]; [0]
+COc1cc(-c2cccc(C(N)=O)n2)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9875006675720215, 0.8724843263626099]
+COc1ccc(OC)c(Cc2cccc(C(N)=O)n2)c1; ['COc1ccc(OC)c(CBr)c1']; ['NC(=O)c1cccc(Cl)n1']; [0.9990698099136353]
+COc1cc(OC)cc(-c2cccc(C(N)=O)n2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999213814735413, 0.9995827674865723, 0.9995419383049011, 0.999454140663147, 0.770727276802063]
+CCNC(=O)N1CCC(c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
+Cc1csc2c(-c3cccc(C(N)=O)n3)ncnc12; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ncc(Cl)cn2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc3cn[nH]c3c2)n1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC=O']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'c1ccc(-c2ccc3cn[nH]c3c2)nc1']; [0.9999963045120239, 0.9999959468841553, 0.9999640583992004, 0.999779224395752, 0.9001492857933044]
+COc1ccc2c(c1)c(-c1cccc(C(N)=O)n1)cn2C; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
+CCn1cc(-c2cccc(C(N)=O)n2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999732971191406, 0.9998717308044434, 0.9989256858825684, 0.9985073208808899]
+COc1ccc2oc(-c3cccc(C(N)=O)n3)cc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cccc(C(N)=O)n2)c1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cc3ccccc3o2)n1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cccc(NC(=O)N3CCCC3)c2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cc(-c3cccnc3)ccn2)n1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc(OC(F)(F)F)cc2)n1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'FC(F)(F)Oc1ccc(Br)cc1', None, 'FC(F)(F)Oc1ccc(-c2ccccn2)cc1', 'FC(F)(F)Oc1ccc(I)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'NC(=O)c1cccc(Br)n1', None, 'NC=O', 'NC(=O)c1ccccn1']; [1.0, 1.0, 0.9999992847442627, 0.9999985098838806, 0.999868631362915, 0, 0.9886825084686279, 0.8263713121414185]
+COc1ccc(F)c(C(=O)Nc2cccc(C(N)=O)n2)c1; ['COc1ccc(F)c(C(N)=O)c1', 'COc1ccc(F)c(C(N)=O)c1', 'COc1ccc(F)c(C(N)=O)c1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1']; [0.9998608827590942, 0.9997918605804443, 0.9979299902915955]
+Cn1cc(Br)cc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+Cn1cc(-c2cccc(C(N)=O)n2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9998795986175537, 0.9985364079475403]
+NC(=O)c1cccc(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
+CCc1cccc(-c2cccc(C(N)=O)n2)n1; [None]; [None]; [0]
+COc1ccc2nc(-c3cccc(C(N)=O)n3)[nH]c2c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cccc(C(N)=O)n3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999991655349731, 0.9999980330467224, 0.9999979734420776, 0.9999335408210754, 0.9956014156341553]
+Cc1cc(-c2cccc(C(N)=O)n2)cc(C)c1OCCO; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc(C(N)=O)n2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999978542327881, 0.9999960660934448, 0.9998925924301147, 0.99985671043396, 0.9882903695106506]
+CC(=O)N1CCC(n2cc(-c3cccc(C(N)=O)n3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['NC(=O)c1cccc(Br)n1']; [0.9999991655349731]
+Cc1n[nH]c2cc(-c3cccc(C(N)=O)n3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.999997615814209, 0.9999957084655762, 0.9999935626983643, 0.9999226927757263, 0.9993686676025391]
+NC(=O)c1cccc(-c2cccc(N3CCCC3=O)c2)n1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999968409538269, 0.9999631643295288, 0.9996706247329712]
+NC(=O)c1cccc(-c2ccc(CCO)cc2)n1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Br)cc1']; [0.999998927116394, 0.9999973773956299, 0.9997787475585938, 0.9996083378791809, 0.9583780765533447]
+NC(=O)c1cccc(NC(=O)c2cccc(OC(F)(F)F)c2)n1; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1']; ['NC(=O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1']; [0.9999756217002869, 0.9999525547027588, 0.999305248260498]
+Cn1nc(Cl)c2cc(-c3cccc(C(N)=O)n3)ccc21; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3cccc(C(N)=O)n3)cc2)n1C; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cccc(C(N)=O)n3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ncn3c2CCCC3)n1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc(C(N)=O)n2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9994173049926758, 0.9993889331817627]
+CCNC(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999784231185913, 0.9999518394470215, 0.9979575872421265]
+CCNC(=O)Cc1ccc(-c2cccc(C(N)=O)n2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['NC(=O)c1cccc(Br)n1']; [0.9997941255569458]
+COc1cc(S(C)(=O)=O)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc(C(N)=O)n2)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cccc(C(N)=O)n2)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc(C(N)=O)n1; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9998255968093872, 0.9993820786476135]
+CN(C)C(=O)c1ccc(-c2cccc(C(N)=O)n2)c(Cl)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc(C(N)=O)n1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9994202852249146, 0.9987268447875977, 0.998163104057312, 0.9848275184631348]
+CNC(=O)c1ccc(C)c(-c2cccc(C(N)=O)n2)c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc(C(N)=O)n1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['NC(=O)c1cccc(Br)n1']; [0.9939956068992615]
+Cc1ccc(C(=O)NCCO)cc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc(C(N)=O)n2)[nH]1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1cccc(C(N)=O)n1; [None]; [None]; [0]
+Cn1nc(-c2cccc(C(N)=O)n2)cc1C(C)(C)O; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccnc3ccccc23)n1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.9981725811958313, 0.9937883615493774, 0.971038818359375, 0.9646167755126953]
+NC(=O)c1cccc(Cc2cc(F)cc(F)c2)n1; ['Fc1cc(F)cc(CBr)c1']; ['NC(=O)c1cccc(Cl)n1']; [0.9978544116020203]
+NC(=O)c1cccc(-c2cccc(C(F)(F)F)c2)n1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', None, 'FC(F)(F)c1cccc(Br)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', None, 'NC(=O)c1cccc(Br)n1']; [0.9999866485595703, 0.9999545216560364, 0.9999210834503174, 0.9993553757667542, 0, 0.9702288508415222]
+NC(=O)c1cccc(-c2ccccc2OC(F)(F)F)n1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9998831748962402, 0.9998811483383179, 0.9998111724853516, 0.9991888999938965]
+NC(=O)c1cccc(-c2ccccc2C(=O)[O-])n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cnn(Cc3ccccc3)c2)n1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999955892562866, 0.999983549118042, 0.9999336004257202, 0.9999275207519531]
+Cn1cnc2ccc(-c3cccc(C(N)=O)n3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['NC(=O)c1cccc(Br)n1']; [0.9862433075904846]
+NC(=O)c1cccc(-c2ccccc2C(N)=O)n1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; [0.9991888999938965, 0.9990836977958679, 0.9967860579490662, 0.9955649375915527, 0.8003172278404236]
+NC(=O)c1cccc(-c2cccc(NC(=O)c3ccccc3)c2)n1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999703168869019, 0.9999433755874634, 0.9998518228530884, 0.9991260766983032]
+COC(C)(C)CCc1cccc(C(N)=O)n1; [None]; [None]; [0]
+CC(C)C(=O)COc1cccc(C(N)=O)n1; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['NC(=O)c1cccc(O)n1', 'NC(=O)c1cccc(O)n1']; [0.9965508580207825, 0.9600217938423157]
+NC(=O)c1cccc(-c2cc(Cl)ccc2Cl)n1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'OB(O)c1cc(Cl)ccc1Cl', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9995294809341431, 0.9991965293884277, 0.9989550709724426, 0.9907686710357666]
+Cc1ccc(-c2cccc(C(N)=O)n2)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9819383025169373, 0.7548185586929321]
+CC(C)(C)c1nc(-c2cccc(C(N)=O)n2)cs1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-n2ncc3cccc(F)c3c2=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cccc(Br)c2)n1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'Brc1cccc(-c2ccccn2)c1', 'Brc1cccc(Br)c1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'NC=O', 'NC(=O)c1cccc(Br)n1']; [0.9999525547027588, 0.9995979070663452, 0.9995278120040894, 0.9988648891448975, 0.9946367740631104, 0.8348065614700317]
+COc1cnc(-c2cccc(C(N)=O)n2)nc1; [None]; [None]; [0]
+NC(=O)c1cccc(NCc2cccnc2)n1; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(F)n1', 'NC(=O)c1cccc(Br)n1']; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; [0.9994416832923889, 0.9990638494491577, 0.9962770938873291]
+Cc1ccc(Cl)c(-c2cccc(C(N)=O)n2)c1; ['Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9982417225837708, 0.998146653175354, 0.9967210292816162, 0.9806482195854187, 0.7771591544151306]
+NC(=O)c1cccc(-c2c(Cl)cccc2Cl)n1; ['NC(=O)c1cccc(Br)n1', 'Clc1cccc(Cl)c1Br', 'NC(=O)c1cccc(Cl)n1']; ['OB(O)c1c(Cl)cccc1Cl', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1c(Cl)cccc1Cl']; [0.9996585249900818, 0.9972081184387207, 0.9920250177383423]
+Cc1nc(N)sc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(Nc2cccnc2)n1; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; ['Nc1cccnc1', 'Nc1cccnc1']; [0.9951869249343872, 0.9650638103485107]
+CNc1nc(C)c(-c2cccc(C(N)=O)n2)s1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cnn3ncccc23)n1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['NC(=O)c1cccc(Cl)n1']; [0.9998606443405151]
+NC(=O)c1cccc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc3ccccc3c2)n1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'NC(=O)c1cccc(Cl)n1', 'Brc1ccc2ccccc2c1']; ['NC(=O)c1cccc(Br)n1', 'OB(O)c1ccc2ccccc2c1', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1ccc2ccccc2c1', 'NC(=O)c1cccc(Br)n1']; [0.999992847442627, 0.9999886751174927, 0.9999639987945557, 0.9996775388717651, 0.9961776733398438]
+NC(=O)c1cccc(-c2ccnc(N)n2)n1; ['NC(=O)c1cccc(Br)n1']; ['Nc1nccc(Br)n1']; [0.9798719882965088]
+NC(=O)c1cccc(NCCc2c[nH]cn2)n1; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1', 'NC(=O)c1cccc(Cl)n1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9996387958526611, 0.9980443716049194, 0.9968240857124329]
+NC(=O)c1cccc(NC(=O)c2cccs2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-n2cnc3ccccc32)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2c[nH]nc2C(F)(F)F)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cccc(F)c2C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cncc3ccccc23)n1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; [0.9998499155044556, 0.9997975826263428, 0.9991937279701233, 0.9905705451965332]
+NC(=O)c1cccc(NCCc2ccccc2)n1; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; [0.9976469278335571, 0.9960518479347229, 0.982930064201355]
+Cn1cc(-c2ccc(-c3cccc(C(N)=O)n3)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [1.0, 1.0]
+NC(=O)c1cccc(-c2ccc(-c3cn[nH]c3)cc2)n1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999988079071045, 0.9998233318328857, 0.9996234178543091]
+NC(=O)c1cccc(NCc2ccc(Cl)cc2)n1; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1', 'NC(=O)c1cccc(Cl)n1']; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9988024234771729, 0.9969366788864136, 0.9773238301277161]
+Cc1c(-c2cccc(C(N)=O)n2)sc(=O)n1C; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc3c(N)[nH]nc3c2)n1; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; ['Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Br)ccc12']; [0.9994786977767944, 0.9679443836212158]
+NC(=O)c1cccc(Nc2ccncc2)n1; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; ['Nc1ccncc1', 'Nc1ccncc1']; [0.9966479539871216, 0.9573043584823608]
+NC(=O)c1cccc(-c2cccc(CO)c2)n1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'NC(=O)c1cccc(Cl)n1', None, 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OCc1cccc(B(O)O)c1', None, 'OCc1cccc(B(O)O)c1']; [0.9999117851257324, 0.999692440032959, 0.9954809546470642, 0, 0.9913630485534668]
+NC(=O)c1cccc(NCc2ccccc2F)n1; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1']; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; [0.9998830556869507, 0.9998514652252197, 0.9992177486419678]
+CN1c2ccc(-c3cccc(C(N)=O)n3)cc2CS1(=O)=O; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(C(N)=O)n2)n1; [None]; [None]; [0]
+COc1cc(-c2cccc(C(N)=O)n2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(C)n1cc(-c2cccc(C(N)=O)n2)nn1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2csc3ncncc23)n1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+CSc1nc(-c2cccc(C(N)=O)n2)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cccc(C(N)=O)n2)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9998446702957153, 0.9997667074203491, 0.9270212650299072]
+NC(=O)c1cccc(-c2cncnc2N)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cc3ccccc3[nH]2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccc(F)cc2C(F)(F)F)n1; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9998822212219238, 0.999607264995575]
+CCC(=O)Nc1ccc(-c2cccc(C(N)=O)n2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9999988675117493, 0.9999983906745911]
+NC(=O)c1cccc(Oc2ccccn2)n1; ['Clc1ccccn1', 'NC(=O)c1cccc(Cl)n1', 'Brc1ccccn1', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(O)n1', 'Oc1ccccn1', 'NC(=O)c1cccc(O)n1', 'Oc1ccccn1']; [0.9970397353172302, 0.9833195209503174, 0.876376748085022, 0.7933427095413208]
+NC(=O)c1cccc(NC(=O)c2c(Cl)cccc2Cl)n1; ['NC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9996160268783569, 0.9978641271591187, 0.9965173006057739]
+NC(=O)c1cccc(CCc2c[nH]nn2)n1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cccc(C(N)=O)n2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(F)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999869465827942, 0.9998966455459595, 0.9997200965881348]
+NC(=O)c1cccc(-c2cnn3ccccc23)n1; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; [0.9999876618385315, 0.999930202960968, 0.9997906684875488]
+CC(C)(COc1cccc(C(N)=O)n1)S(C)(=O)=O; [None]; [None]; [0]
+CCCn1cc(-c2cccc(C(N)=O)n2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999982118606567, 0.9999873042106628, 0.9999337196350098, 0.9997742176055908]
+CCNc1nc2ccc(-c3cccc(C(N)=O)n3)cc2s1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cc[nH]c(=O)c2)n1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'O=c1cc(Br)cc[nH]1']; [0.999929666519165, 0.9997462034225464, 0.7519490718841553]
+COc1ccc(-c2cccc(C(N)=O)n2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1ccccn1', 'NC(=O)c1ccccn1']; [0.9999994039535522, 0.9999974966049194, 0.9999918937683105, 0.9997571706771851, 0.9977681636810303, 0.9849311113357544, 0.9460546970367432]
+NC(=O)CCCc1cccc(C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cccc3c2C(=O)CC3)n1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cccc(C(N)=O)n2)cc1; [None]; [None]; [0]
+C[C@@H](Oc1cccc(C(N)=O)n1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['NC(=O)c1cccc(Cl)n1']; [0.8444994688034058]
+C[S@](=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999984502792358, 0.9999984502792358, 0.9998326301574707, 0.9998310804367065]
+CCN(CC)c1cccc(C(N)=O)n1; ['CCNCC', 'CCNCC', 'CCNCC']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1']; [0.9971655011177063, 0.9717508554458618, 0.7779294848442078]
+CC(C)(O)CC(=O)NCCc1cccc(C(N)=O)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+COc1ccncc1Nc1cccc(C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cc3c(=O)[nH]ccc3o2)n1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cccc(C(N)=O)n2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999997615814209, 0.9999992847442627, 0.9998725652694702, 0.999512791633606, 0.994901716709137]
+NC(=O)c1cccc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(Nc2cnc3ccccc3c2)n1; ['NC(=O)c1cccc(Cl)n1']; ['Nc1cnc2ccccc2c1']; [0.9990394115447998]
+COc1cc(CCc2cccc(C(N)=O)n2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)c1cccc(Nc2cnccc2-c2ccccc2)n1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc(C(N)=O)n1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1ccccn1', 'NC(=O)c1ccccn1']; [0.9999988079071045, 0.9999887347221375, 0.9999831914901733, 0.9999216198921204, 0.9998044967651367, 0.9313029050827026, 0.7790813446044922]
+NC(=O)c1cccc(-c2cnc3[nH]ccc3c2)n1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999997615814209, 0.9999994039535522, 0.9999183416366577, 0.9997730851173401]
+NC(=O)c1cccc(-c2c[nH]c3cnccc23)n1; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9259768128395081, 0.921303927898407]
+NC(=O)c1cccc(-c2cc3c(=O)[nH]cc(Br)c3s2)n1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999990463256836, 0.9999988675117493, 0.9997681975364685, 0.99955153465271, 0.9228119850158691]
+CS(=O)(=O)c1ccc(-c2cccc(C(N)=O)n2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [1.0, 0.9999995827674866, 0.9999862313270569, 0.9999580383300781, 0.9999544620513916, 0.9858330488204956]
+CNC(=O)c1c(F)cccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-n2ccc(CO)n2)n1; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9996731281280518, 0.9984020590782166, 0.9692484140396118]
+C[C@H](Nc1cccc(C(N)=O)n1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CN(c1cccc(C(N)=O)n1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC1(c2cccc(C(N)=O)n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Cc1cc(-c2cccc(C(N)=O)n2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+C[C@H](Nc1cccc(C(N)=O)n1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cccc(C(N)=O)n1)C(C)(C)O; [None]; [None]; [0]
+NC(=O)c1cccc(-n2ncc3ccccc32)n1; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9998569488525391, 0.9982261657714844]
+NC(=O)c1cccc(-c2c(F)cccc2Cl)n1; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'NC(=O)c1cccc(Cl)n1']; ['NC(=O)c1cccc(Br)n1', 'OB(O)c1c(F)cccc1Cl', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'OB(O)c1c(F)cccc1Cl']; [0.9999972581863403, 0.9999881982803345, 0.9999480247497559, 0.9997521638870239, 0.9986145496368408]
+NC(=O)c1cccc(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-n2ncc3c(O)cccc32)n1; ['NC(=O)c1cccc(Cl)n1']; ['Oc1cccc2[nH]ncc12']; [0.999879777431488]
+COc1ccc(-c2cccc(C(N)=O)n2)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9994880557060242, 0.9993232488632202, 0.9993078708648682, 0.9965767860412598]
+NC(=O)c1cccc(-c2ccc(C(=O)c3ccccc3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9999805688858032, 0.9999687671661377, 0.9996027946472168, 0.9993788003921509, 0.8526124358177185]
+NC(=O)c1cccc(-n2cnc(CCO)c2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc(C(N)=O)n2)[nH]1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
+CCc1cc(-c2cccc(C(N)=O)n2)nc(N)n1; [None]; [None]; [0]
+NC(=O)c1cccc(CCC(=O)NCc2ccccn2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2ccn(CC[NH3+])n2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(CS(=O)(=O)NCc2ccccn2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(Cc2nnc3ccc(-c4ccccc4)nn23)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc(C(N)=O)n2)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc(C(N)=O)n2)nc(N)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2nnc(N)s2)n1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc(C(N)=O)n2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(Oc2ccc(C[NH3+])cc2F)n1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cccc(C(N)=O)n3)nc2NC1=O; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc(C(N)=O)n3)c2)cc1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cccc3nnsc23)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2c[nH]c3cccnc23)n1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9992483258247375, 0.9991620779037476]
+NC(=O)c1cccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(-c2cncc(N)n2)n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc(C(N)=O)n1; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9999573826789856, 0.9999411106109619, 0.9999144077301025, 0.9998917579650879]
+CC(=O)Nc1ncc(-c2cccc(C(N)=O)n2)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc(C(N)=O)n2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1']; [0.9999558925628662, 0.9998456239700317, 0.9994608163833618, 0.9988709688186646]
+COc1ccc(Oc2cccc(C(N)=O)n2)c(F)c1F; ['COc1ccc(B(O)O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['NC(=O)c1cccc(O)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(F)n1', 'NC(=O)c1cccc(O)n1', 'NC(=O)c1cccc(Br)n1']; [0.9997091293334961, 0.9989542961120605, 0.9965572357177734, 0.9959020614624023, 0.9869886040687561]
+NC(=O)c1cccc(-c2cn(CCO)cn2)n1; [None]; [None]; [0]
+NC(=O)c1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; ['NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(F)n1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9999628067016602, 0.9998437166213989, 0.9974664449691772]
+NC(=O)c1cccc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccc(C(N)=O)n2)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1', 'NC(=O)c1cccc(Cl)n1', 'NC(=O)c1cccc(Br)n1']; [0.9999969005584717, 0.9999939799308777, 0.9999309778213501, 0.9996968507766724, 0.9938418865203857]
+NC(=O)c1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)n1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['NC(=O)c1cccc(Cl)n1']; [0.9999557137489319]
+NC(=O)c1cccc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999997019767761, 0.9999863505363464, 0.9989250302314758, 0.996326744556427]
+NC(=O)c1cccc(-c2cccc(NC(=O)C3CCNCC3)c2)n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ncc4ccccc4n3)c2n1; ['Clc1ncc2ccccc2n1', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'c1ccc2ncncc2c1']; [0.9998546838760376, 0.9925832748413086]
+CCOc1ccc(-c2cccc3cnc(N)nc23)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999996423721313, 0.9999863505363464, 0.9999523162841797, 0.9999344348907471, 0.9988460540771484, 0.9981138706207275, 0.9755165576934814]
+COc1ncccc1-c1cccc2cnc(N)nc12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999562501907349, 0.9988488554954529, 0.9620335102081299, 0.9164817333221436]
+CN(C)c1cc(-c2cccc(C(N)=O)n2)cnn1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cccc4cnc(N)nc34)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9830199480056763, 0.8354716300964355]
+Cc1nc(C(C)(C)O)sc1-c1cccc2cnc(N)nc12; ['Cc1csc(C(C)(C)O)n1']; ['Nc1ncc2cccc(Br)c2n1']; [0.999193549156189]
+C[C@@]1(O)CC[C@H](c2cccc(C(N)=O)n2)CC1; [None]; [None]; [0]
+COc1cc(-c2cccc3cnc(N)nc23)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cccc(OC)c1OC']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.999998927116394, 0.999982476234436, 0.9999724626541138, 0.9999517202377319, 0.9995183944702148, 0.9970161318778992, 0.9174560308456421]
+CS(=O)(=O)c1cccc(-c2cccc3cnc(N)nc23)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999997615814209, 0.9999938607215881, 0.9999802112579346, 0.9998006224632263, 0.9890732765197754]
+Nc1ncc2cccc(-c3cnc4cccnn34)c2n1; ['Brc1cnc2cccnn12', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'O=C(O)c1cnc2cccnn12']; [0.9999780058860779, 0.9999747276306152, 0.9985648989677429, 0.9878476858139038]
+COc1ccc(-c2cccc3cnc(N)nc23)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccccc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.9999997615814209, 0.9999963045120239, 0.9999940395355225, 0.9999593496322632, 0.9999536275863647, 0.9995706677436829, 0.9983664155006409, 0.9980494976043701, 0.9014347791671753, 0.8965247273445129]
+Nc1ncc2cccc(-c3ccc(C(=O)[O-])cc3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccc(N4CCOCC4)cc3)c2n1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc2cccc(Cl)c2n1', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ncc2cccc(Cl)c2n1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1']; [1.0, 0.9999996423721313, 0.9999979734420776, 0.9999750256538391, 0.9999346733093262, 0.800956130027771]
+Nc1ncc2cccc(-c3cccc(NC(=O)C4CC4)c3)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['O=C(Nc1cccc(Br)c1)C1CC1']; [0.9999703168869019]
+N#Cc1ccc(O)c(-c2cccc3cnc(N)nc23)c1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cccc(O)c3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3nc4ccccc4[nH]3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(Nc3ncccn3)c2n1; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9999827146530151, 0.9985779523849487]
+NC(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999998211860657, 0.999980092048645, 0.9999564290046692, 0.9997243881225586, 0.997855544090271]
+Nc1ncc2cccc(-c3ccc(C(=O)Nc4ccccc4)cc3)c2n1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'Nc1ncc2cccc(Cl)c2n1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [1.0, 0.999988853931427, 0.9999748468399048, 0.9998340010643005, 0.9991859197616577]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cccc4cnc(N)nc34)cc2)CC1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cccc4cnc(N)nc34)cn2)c1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3nccc4ccccc34)c2n1; ['Clc1nccc2ccccc12', 'Nc1ncc2cccc(Br)c2n1', 'Brc1nccc2ccccc12', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1nccc2ccccc12', 'Nc1ncc2cccc(Br)c2n1', 'c1ccc2cnccc2c1']; [0.9999651312828064, 0.9997118711471558, 0.9991346597671509, 0.9213538765907288]
+Nc1ncc2cccc(-c3ccc(OCCO)cc3)c2n1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(B(O)O)cc1']; [0.9999994039535522, 0.9998854398727417, 0.9978251457214355, 0.9944267272949219]
+CC(=O)NCc1ccc(-c2cccc3cnc(N)nc23)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [1.0, 0.9999913573265076, 0.9999761581420898, 0.9996280670166016, 0.998875617980957]
+Nc1ncc2cccc(-c3ccc(C(=O)N4CCOCC4)cc3)c2n1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1']; ['Nc1ncc2cccc(Br)c2n1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'Nc1ncc2cccc(Cl)c2n1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccccc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 0.9999998211860657, 0.9999985694885254, 0.999977707862854, 0.9999716281890869, 0.999733567237854, 0.7512403130531311]
+Nc1ncc2cccc(-c3cccc(C4CCNCC4)c3)c2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999931454658508, 0.9997512102127075, 0.9994882345199585, 0.9902275800704956, 0.9780063629150391]
+Nc1ncc2cccc(-c3ccc(C(F)(F)F)cc3)c2n1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)c1ccc(I)cc1', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)c1ccc(Br)cc1', 'Nc1ncc2cccc(Cl)c2n1', 'FC(F)(F)c1ccccc1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(I)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [1.0, 0.999998927116394, 0.9999970197677612, 0.9999476075172424, 0.9999045133590698, 0.9997508525848389, 0.9920014142990112, 0.9414209127426147, 0.9348137974739075]
+CN(C)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999997615814209, 0.9999765753746033, 0.9999717473983765, 0.999771237373352, 0.9992115497589111, 0.9984735250473022]
+Nc1ncc2cccc(-c3ccc(C(=O)N4CCOCC4)cn3)c2n1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cccc3cnc(N)nc23)cc1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccc4c(c3)CS(=O)(=O)C4)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999585151672363]
+C[C@@H](O)COc1ccc(-c2cccc3cnc(N)nc23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999998807907104, 0.9999862909317017, 0.9999580383300781, 0.9987385272979736, 0.9983545541763306, 0.9177615642547607]
+Cc1nc(C)c(-c2cccc3cnc(N)nc23)s1; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999974966049194, 0.9969395399093628]
+Nc1ncc2cccc(Cc3ccccc3O)c2n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9993211627006531, 0.9945266246795654, 0.9902762174606323]
+Nc1ncc(Cc2cccc3cnc(N)nc23)cn1; [None]; [None]; [0]
+CC(C)c1cc(-c2cccc3cnc(N)nc23)nc(N)n1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cccc3cnc(N)nc23)CC1; [None]; [None]; [0]
+CCCOc1ccc(-c2cccc3cnc(N)nc23)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9986487627029419]
+CC(=O)N1CCCN(c2cccc(-c3cccc4cnc(N)nc34)c2)CC1; [None]; [None]; [0]
+Nc1ncc2cccc([C@H]3CCN(C(=O)c4ccccc4)C3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccc(Br)cc3)c2n1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1ccc(I)cc1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Brc1ccc(Br)cc1', 'Brc1ccc(I)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1']; [0.9999939203262329, 0.9999029636383057, 0.9994540810585022, 0.9988909959793091, 0.9962432384490967, 0.9120802879333496, 0.7891578674316406]
+CCN(CC)C(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999988079071045, 0.999790608882904, 0.9997514486312866, 0.9957449436187744, 0.9946783781051636, 0.8626197576522827]
+CN(C)c1ccc(-c2cccc3cnc(N)nc23)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [1.0, 0.9999861717224121, 0.9999170303344727]
+Nc1ncc2cccc(-c3ccn4nccc4n3)c2n1; ['Clc1ccn2nccc2n1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9999940395355225]
+Cc1c(C(=O)[O-])cccc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3cnc(N)nc23)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.999995231628418, 0.999929666519165, 0.99981689453125, 0.9975364208221436, 0.9951023459434509]
+COc1ccc(Cc2cccc3cnc(N)nc23)cc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cccc2cnc(N)nc12; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999895095825195, 0.9999380111694336, 0.9588194489479065]
+Nc1ncc2cccc(-c3ccc4c(c3)CCO4)c2n1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Ic1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc2c(c1)CCO2', 'c1ccc2c(c1)CCO2', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [1.0, 0.9999996423721313, 0.9999995231628418, 0.9999915361404419, 0.9999899864196777, 0.9999799728393555, 0.998475193977356, 0.9750077724456787, 0.9395006895065308]
+Nc1ncc2cccc(-c3ccccc3-n3cccn3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3c[nH]c4ccccc34)c2n1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cccc3cnc(N)nc23)cc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccc3cnc(N)nc23)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999996423721313, 0.9999878406524658, 0.9999459385871887, 0.9997332096099854, 0.9994726777076721, 0.9842615127563477]
+CC(C)c1ccc2nc(-c3cccc4cnc(N)nc34)[nH]c2c1; [None]; [None]; [0]
+COc1cc(-c2cccc3cnc(N)nc23)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999992251396179, 0.9999513626098633, 0.9992084503173828, 0.9977095127105713]
+CC(C)(C)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccccc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [1.0, 0.9999982118606567, 0.9999921321868896, 0.9999493956565857, 0.999809980392456, 0.99903404712677, 0.9925152063369751, 0.9500938653945923, 0.9302251935005188]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cc(-c4ccccc4)[nH]n3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cccc4c3OCO4)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3scc4c3OCCO4)c2n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999997615814209, 0.9999843239784241, 0.9999647736549377, 0.9990079998970032, 0.9987215995788574, 0.9205145239830017]
+Nc1ncc2cccc(-c3cnc4ccccc4c3)c2n1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1ncc2cccc(Cl)c2n1', 'Brc1cnc2ccccc2c1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cnc2ccccc2c1', 'Nc1ncc2cccc(Cl)c2n1', 'OB(O)c1cnc2ccccc2c1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999984502792358, 0.9998910427093506, 0.9997605085372925, 0.9981299638748169, 0.9960633516311646]
+CC(C)(C)c1ccc(-c2cccc3cnc(N)nc23)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2ccccc2n1']; [0.9999982118606567, 0.9998410940170288, 0.9997715950012207, 0.9962092041969299, 0.9933356642723083, 0.7869420051574707]
+Nc1ncc2cccc(Cc3nc4c(F)c(F)ccc4[nH]3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(CCCc3ccccc3)c2n1; ['C=CCc1ccccc1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9634091854095459]
+Cc1ccc(-c2cccc3cnc(N)nc23)c(=O)[nH]1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3csc(N)n3)c2n1; ['Nc1nc(Cl)cs1']; ['Nc1ncc2cccc(Br)c2n1']; [0.99992835521698]
+Nc1ncc2cccc(Cc3nc4ccc(F)c(F)c4[nH]3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cc4ccccc4s3)c2n1; ['CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cc2ccccc2s1', 'Nc1ncc2cccc(Br)c2n1', 'c1ccc2sccc2c1', 'OB(O)c1cc2ccccc2s1']; [0.9999908804893494, 0.9999851584434509, 0.9999300837516785, 0.9991532564163208, 0.9983985424041748]
+Nc1ncc2cccc(-c3ccn(-c4cccc(Cl)c4)n3)c2n1; ['Clc1cccc(-n2cccn2)c1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9415576457977295]
+COc1cccc(C(=O)Nc2cccc3cnc(N)nc23)c1; ['COc1cccc(C(N)=O)c1', 'COc1cccc(C(N)=O)c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9990682005882263, 0.9903029203414917]
+CSc1ccc(-c2cccc3cnc(N)nc23)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999997615814209, 0.9999799132347107, 0.9999525547027588, 0.9999111890792847, 0.9985698461532593, 0.9959667325019836, 0.9295101761817932]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc3cnc(N)nc23)CC1; [None]; [None]; [0]
+Nc1ncc2cccc(Cc3nc4ccccc4[nH]3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccc(F)cc3Cl)c2n1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'Fc1cccc(Cl)c1', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(F)cc1Cl', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(F)cc1Cl']; [0.9999995827674866, 0.9999973773956299, 0.9999877214431763, 0.9995394349098206, 0.9990853071212769, 0.9965126514434814]
+Nc1ncc2cccc(-c3ccc4c(c3)CCC(=O)N4)c2n1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2ccccc2N1']; [0.9999980330467224, 0.9998229742050171, 0.9996321201324463, 0.9918203949928284]
+CCN1CCN(Cc2ccc(-c3cccc4cnc(N)nc34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2cccc3cnc(N)nc23)nc(N)n1; ['Cc1cc(Cl)nc(N)n1', 'Cc1cc(Br)nc(N)n1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999901652336121, 0.9998661279678345]
+Nc1ncc2cccc(-c3ncc(Br)cn3)c2n1; [None]; [None]; [0]
+COc1ccc(-c2cccc3cnc(N)nc23)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccccc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.9999998807907104, 0.9999982714653015, 0.9999935030937195, 0.9999644160270691, 0.9998598098754883, 0.9995886087417603, 0.9917869567871094, 0.8879566192626953, 0.8136636018753052]
+CC[C@@H](CO)c1cccc2cnc(N)nc12; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccc(Cl)cc3Cl)c2n1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Clc1ccc(I)c(Cl)c1', 'Clc1ccc(Br)c(Cl)c1', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9999990463256836, 0.9999903440475464, 0.9999816417694092, 0.9970173835754395, 0.9863605499267578]
+CCc1ccc(-c2cccc3cnc(N)nc23)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc([Mg]Br)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999996423721313, 0.9999723434448242, 0.9998914003372192, 0.9998902082443237, 0.997779130935669, 0.9976595640182495, 0.9974566698074341, 0.975447416305542]
+Nc1ncc2cccc([C@H](CO)Cc3ccccc3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ncc4cccn4n3)c2n1; [None]; [None]; [0]
+COc1cc(-c2cccc3cnc(N)nc23)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [1.0, 0.9999934434890747, 0.9999804496765137]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cc4ccccn4n3)c2n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cccc4cnc(N)nc34)ccc2O1; [None]; [None]; [0]
+Nc1ncc2cccc(CCCn3cncn3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ncc(Cl)cn3)c2n1; ['Clc1cncnc1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9813569784164429]
+Cn1cc(-c2cccc3cnc(N)nc23)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999958276748657, 0.9999769926071167, 0.997429609298706]
+COc1cc(-c2cccc3cnc(N)nc23)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1ccccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [1.0, 1.0, 0.9999997615814209, 0.9999916553497314, 0.9999830722808838, 0.9999382495880127, 0.9882243871688843, 0.9847533106803894, 0.9470455646514893]
+COc1cc(F)c(-c2cccc3cnc(N)nc23)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999996423721313, 0.9999908208847046, 0.9984863996505737, 0.9974836707115173]
+COc1ccc2cccc(-c3cccc4cnc(N)nc34)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9738240242004395]
+Nc1ncc2cccc(-c3cccc4ccc(O)cc34)c2n1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1ncc2cccc(Br)c2n1']; [0.9999560117721558]
+Cc1csc2c(-c3cccc4cnc(N)nc34)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Nc1ncc2cccc(Br)c2n1']; [0.975055456161499]
+Nc1ncc2cccc(-c3cnn(CCO)c3)c2n1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OCCn1cc(B(O)O)cn1', 'Nc1ncc2cccc(Cl)c2n1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1']; [0.9999929666519165, 0.9993884563446045, 0.9992502331733704, 0.9940718412399292, 0.9895074367523193]
+CNC(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [1.0, 0.9999858736991882, 0.9999843239784241, 0.9987871646881104, 0.9984657168388367, 0.8759039640426636]
+Nc1cc(-c2cccc3cnc(N)nc23)c2cc[nH]c2n1; ['Nc1cc(Br)c2cc[nH]c2n1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9993405342102051]
+COc1cc(-c2cccc3cnc(N)nc23)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9935641288757324, 0.9439637660980225, 0.9057326912879944]
+CCNC(=O)N1CCC(c2cccc3cnc(N)nc23)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cccc3cnc(N)nc23)c1; ['COc1ccc(OC)c(C[Zn]Cl)c1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9994437098503113]
+COc1cc(OC)cc(-c2cccc3cnc(N)nc23)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cccc(OC)c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999984502792358, 0.9999814033508301, 0.9999803304672241, 0.999977171421051, 0.9993883967399597, 0.9973689913749695, 0.9095476269721985]
+COc1cc(CS(C)(=O)=O)ccc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc3cnc(N)nc23)nc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cccc3cnc(N)nc23)CC1; [None]; [None]; [0]
+COc1ccc2oc(-c3cccc4cnc(N)nc34)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2occc2c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999551773071289, 0.9995155930519104, 0.9986187219619751]
+COc1ccc2c(c1)c(-c1cccc3cnc(N)nc13)cn2C; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccc4cn[nH]c4c3)c2n1; [None]; [None]; [0]
+CCn1cc(-c2cccc3cnc(N)nc23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cccn1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999827146530151, 0.9998224377632141, 0.9990842938423157, 0.9958212375640869, 0.9566525220870972]
+Nc1ncc2cccc(-c3cc4ccccc4o3)c2n1; ['Nc1ncc2cccc(Br)c2n1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'Brc1cc2ccccc2o1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'F[B-](F)(F)c1cc2ccccc2o1']; ['OB(O)c1cc2ccccc2o1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cc2ccccc2o1', 'c1ccc2occc2c1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999576807022095, 0.999598503112793, 0.9986417293548584, 0.9971075057983398, 0.9948553442955017, 0.9930644035339355]
+Nc1ncc2cccc(-c3ncc4sccc4n3)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['c1ncc2sccc2n1']; [0.9967507123947144]
+CNC(=O)c1ccc(OC)c(-c2cccc3cnc(N)nc23)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cccc2cnc(N)nc12; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1ccn(C)n1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999986290931702, 0.9984513521194458]
+C[NH+](C)Cc1ccc(-c2cccc3cnc(N)nc23)cc1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccc(OC(F)(F)F)cc3)c2n1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)Oc1ccc(Br)cc1', 'Nc1ncc2cccc(Cl)c2n1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [1.0, 0.9999998807907104, 0.9999986886978149, 0.9999947547912598, 0.9999927282333374, 0.9999643564224243, 0.9992136359214783, 0.9988816380500793]
+COc1ccc2nc(-c3cccc4cnc(N)nc34)[nH]c2c1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cccc3cnc(N)nc23)c1; ['COc1ccc(F)c(C(N)=O)c1', 'COc1ccc(F)c(C(N)=O)c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9996291995048523, 0.9970617294311523]
+Nc1ncc2cccc(-c3cc(-c4cccnc4)ccn3)c2n1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cccc(NC(=O)N4CCCC4)c3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ncn4c3CCCC4)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['c1ncn2c1CCCC2']; [0.9995819330215454]
+Cn1cc(-c2cccc3cnc(N)nc23)c2ccccc21; [None]; [None]; [0]
+CCc1cccc(-c2cccc3cnc(N)nc23)n1; [None]; [None]; [0]
+Cc1cc(-c2cccc3cnc(N)nc23)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3cccc4cnc(N)nc34)ccc21; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cccc4cnc(N)nc34)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9999974966049194]
+CC(C)(O)c1ccc2cc(-c3cccc4cnc(N)nc34)[nH]c2c1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cccc4cnc(N)nc34)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cccc4cnc(N)nc34)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [1.0, 0.9999995827674866, 0.9999977350234985, 0.9999955892562866, 0.999988853931427, 0.9999252557754517]
+CN(C)c1ccc(-c2cccc3cnc(N)nc23)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999996423721313, 0.9999703168869019, 0.9999620914459229, 0.9992998838424683, 0.9955517053604126]
+Nc1ncc2cccc(-c3cccc(N4CCCC4=O)c3)c2n1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999992251396179, 0.9999154806137085, 0.9995094537734985]
+Nc1ncc2cccc(NC(=O)c3cccc(OC(F)(F)F)c3)c2n1; ['NC(=O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999616146087646, 0.9995595812797546]
+Cc1ncc(-c2ccc(-c3cccc4cnc(N)nc34)cc2)n1C; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccc(CCO)cc3)c2n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3cnc(N)nc23)c(Cl)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3cnc(N)nc23)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9999973773956299]
+COc1cc(-c2cnn(C)c2)ccc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999761581420898, 0.999591588973999, 0.9982428550720215]
+CCNC(=O)Cc1ccc(-c2cccc3cnc(N)nc23)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9995865821838379]
+CN(C)C(=O)c1ccc(-c2cccc3cnc(N)nc23)nc1; ['CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9986351728439331]
+CS(=O)(=O)c1ccc(Cl)c(-c2cccc3cnc(N)nc23)c1; [None]; [None]; [0]
+Cn1nc(-c2cccc3cnc(N)nc23)cc1C(C)(C)O; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc2cnc(N)nc12; ['CNC(=O)c1ccccc1B(O)O']; ['Nc1ncc2cccc(Br)c2n1']; [0.9992109537124634]
+C[C@H](CS(C)(=O)=O)c1cccc2cnc(N)nc12; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cccc3cnc(N)nc23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc2cnc(N)nc12; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9992018938064575, 0.9819279909133911]
+CCOc1ccccc1-c1cccc2cnc(N)nc12; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999915361404419, 0.999883234500885, 0.9867154359817505, 0.9728232622146606]
+COC(C)(C)CCc1cccc2cnc(N)nc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc3cnc(N)nc23)[nH]1; [None]; [None]; [0]
+Nc1ncc2cccc(Cc3cc(F)cc(F)c3)c2n1; ['Fc1cc(F)cc(C[Zn]Br)c1']; ['Nc1ncc2cccc(Br)c2n1']; [0.999893069267273]
+CP(C)(=O)c1ccccc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccccc3C(=O)[O-])c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccccc3OC(F)(F)F)c2n1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Br']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1']; [0.999998927116394, 0.9999920129776001, 0.9982155561447144, 0.9978792667388916, 0.9393838047981262]
+Nc1ncc2cccc(-c3cccc(C(F)(F)F)c3)c2n1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(I)c1', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1ncc2cccc(Cl)c2n1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1ccccc1', 'FC(F)(F)c1cccc(I)c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1ncc2cccc(Cl)c2n1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1']; [0.9999997615814209, 0.9999942779541016, 0.9999940395355225, 0.9999020099639893, 0.9998395442962646, 0.9983112812042236, 0.9808494448661804, 0.8735204935073853]
+Cn1cnc2ccc(-c3cccc4cnc(N)nc34)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1ncc2cccc(Br)c2n1']; [0.9999116063117981]
+NC(=O)c1ccccc1-c1cccc2cnc(N)nc12; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999681711196899, 0.9971062541007996, 0.8194988965988159]
+Nc1ncc2cccc(-c3ccnc4ccccc34)c2n1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Br[Mg]c1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'CCCC[Sn](CCCC)(CCCC)c1ccnc2ccccc12', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccnc2ccccc12', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccnc2ccccc12']; [0.9999758005142212, 0.9997183680534363, 0.9978058338165283, 0.9961955547332764, 0.9959295988082886, 0.993408739566803, 0.7548516988754272]
+Nc1ncc2cccc(-c3cnn(Cc4ccccc4)c3)c2n1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Nc1ncc2cccc(Cl)c2n1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'c1ccc(Cn2cccn2)cc1']; [0.9999895691871643, 0.9998722076416016, 0.999659538269043, 0.9958721399307251, 0.9336224794387817]
+Nc1ncc2cccc(-c3cnc(-c4ccccc4)[nH]3)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.980351448059082]
+Cc1ccc(-c2cccc3cnc(N)nc23)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9880222678184509, 0.9139722585678101]
+Nc1ncc2cccc(-c3cc(Cl)ccc3Cl)c2n1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Clc1ccc(Cl)c(Br)c1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'Nc1ncc2ccccc2n1']; [0.9999982118606567, 0.9999876022338867, 0.9943976998329163, 0.7931544184684753]
+CC(C)(C)c1nc(-c2cccc3cnc(N)nc23)cs1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cccc(NC(=O)c4ccccc4)c3)c2n1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Nc1ncc2cccc(Cl)c2n1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [1.0, 0.9999947547912598, 0.9999563097953796, 0.9997581243515015]
+CC(C)C(=O)COc1cccc2cnc(N)nc12; [None]; [None]; [0]
+COc1cnc(-c2cccc3cnc(N)nc23)nc1; ['COc1cncnc1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9527720212936401]
+Nc1ncc2cccc(-c3cnc4ccccn34)c2n1; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.9997364282608032, 0.9650672078132629, 0.9575902819633484]
+Cc1nc2ccccn2c1-c1cccc2cnc(N)nc12; ['Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2ccccc2n1']; [0.9998868703842163, 0.9867578744888306, 0.7971535921096802]
+CNc1nc(C)c(-c2cccc3cnc(N)nc23)s1; ['CNc1nc(C)cs1']; ['Nc1ncc2cccc(Br)c2n1']; [0.999932050704956]
+Nc1ncc2cccc(-n3ncc4cccc(F)c4c3=O)c2n1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cccc2cnc(N)nc12; ['Cc1csc(N)n1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9968476295471191]
+Cc1ccc(Cl)c(-c2cccc3cnc(N)nc23)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999856948852539, 0.9999457597732544, 0.9804564118385315]
+Nc1ncc2cccc(-c3c(Cl)cccc3Cl)c2n1; ['Nc1ncc2cccc(Br)c2n1', 'Clc1cccc(Cl)c1Br', 'Nc1ncc2cccc(Cl)c2n1']; ['OB(O)c1c(Cl)cccc1Cl', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1c(Cl)cccc1Cl']; [0.9991320371627808, 0.9578779339790344, 0.8228710889816284]
+Nc1ncc2cccc(-c3cccc(Br)c3)c2n1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Brc1cccc(I)c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999396800994873, 0.9992382526397705, 0.9992364645004272, 0.9992300271987915, 0.986375093460083]
+Nc1ncc2cccc(NCc3cccnc3)c2n1; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(F)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999901652336121, 0.9998619556427002, 0.9996029138565063]
+Nc1ncc2cccc(-c3cccc(Cn4cncn4)c3)c2n1; [None]; [None]; [0]
+Nc1nccc(-c2cccc3cnc(N)nc23)n1; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1']; [0.9998540878295898, 0.9985756278038025]
+Cc1c(-c2cccc3cnc(N)nc23)sc(=O)n1C; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cnn4ncccc34)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(NCCc3c[nH]cn3)c2n1; ['NCCc1c[nH]cn1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9988637566566467]
+Nc1ncc2cccc(-n3cnc4ccccc43)c2n1; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(F)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9957128167152405, 0.9790658950805664, 0.8945780992507935]
+Nc1ncc2cccc(Nc3cccnc3)c2n1; ['Nc1cccnc1', 'Nc1cccnc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999117851257324, 0.9987772703170776]
+Nc1ncc2cccc(-c3ccc4ccccc4c3)c2n1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)COB(c2ccc3ccccc3c2)OC1', 'Ic1ccc2ccccc2c1', 'Nc1ncc2cccc(Cl)c2n1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1ccc2ccccc2c1', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'c1ccc2ccccc2c1']; [0.9999995231628418, 0.9999978542327881, 0.9999940395355225, 0.9999845623970032, 0.999946117401123, 0.9999349117279053, 0.9994392395019531, 0.9859849214553833]
+Nc1ncc2cccc(-c3c[nH]nc3C(F)(F)F)c2n1; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Nc1ncc2cccc(Br)c2n1']; [0.9999980330467224]
+Nc1ncc2cccc(NCCc3ccccc3)c2n1; ['NCCc1ccccc1', 'NCCc1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(F)c2n1']; [0.992883563041687, 0.9883161783218384]
+Nc1ncc2cccc(NC(=O)c3cccs3)c2n1; ['NC(=O)c1cccs1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9988260269165039]
+Nc1ncc2cccc(-c3cncc4ccccc34)c2n1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Ic1cncc2ccccc12', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cncc2ccccc12', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cncc2ccccc12', 'c1ccc2cnccc2c1']; [0.9999915361404419, 0.9999796152114868, 0.9999456405639648, 0.9999369382858276, 0.999700665473938, 0.9982855319976807, 0.9920012950897217, 0.816777765750885]
+Cn1cc(-c2ccc(-c3cccc4cnc(N)nc34)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [1.0, 0.9999982118606567, 0.9996716976165771]
+Nc1ncc2cccc(-c3cccc(CC(=O)[O-])c3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(NCc3ccc(Cl)cc3)c2n1; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(F)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999385476112366, 0.9991565942764282, 0.9944568872451782]
+Nc1ncc2cccc(-c3ccc4c(N)[nH]nc4c3)c2n1; [None]; [None]; [0]
+CN1c2ccc(-c3cccc4cnc(N)nc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccc(-c4cn[nH]c4)cc3)c2n1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cccc(CO)c3)c2n1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OCc1cccc(B(O)O)c1', 'Nc1ncc2cccc(Cl)c2n1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1']; [0.9999978542327881, 0.9997520446777344, 0.9994773864746094, 0.9933217167854309, 0.986129879951477]
+Nc1ncc2cccc(Nc3ccncc3)c2n1; ['Nc1ccncc1', 'Nc1ccncc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.999996542930603, 0.9998880624771118]
+Nc1ncc2cccc(NCc3ccccc3F)c2n1; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(F)c2n1']; [0.9999386072158813, 0.9933351278305054, 0.9749323129653931]
+CC(C)n1cc(-c2cccc3cnc(N)nc23)nn1; ['CC(C)n1ccnn1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9996464252471924]
+Nc1ncc2cccc(-c3csc4ncncc34)c2n1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc3cnc(N)nc23)n1; [None]; [None]; [0]
+COc1cc(-c2cccc3cnc(N)nc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+CSc1nc(-c2cccc3cnc(N)nc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cc4ccccc4[nH]3)c2n1; ['CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Clc1cc2ccccc2[nH]1', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cc2ccccc2[nH]1', 'Nc1ncc2cccc(Br)c2n1', 'c1ccc2[nH]ccc2c1']; [0.9999990463256836, 0.9999961853027344, 0.9999900460243225, 0.999326229095459]
+Nc1ncc2cccc(-c3cncnc3N)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(CCc3c[nH]nn3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(Oc3ccccn3)c2n1; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['Oc1ccccn1', 'Oc1ccccn1']; [0.9908180236816406, 0.853428304195404]
+Nc1ncc2cccc(-c3ccc(F)cc3C(F)(F)F)c2n1; ['Nc1ncc2cccc(Br)c2n1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Nc1ncc2cccc(Cl)c2n1', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ncc2ccccc2n1']; [0.9999948740005493, 0.9999709129333496, 0.999517560005188, 0.9987275004386902, 0.7952886819839478]
+NC(=O)CCCc1cccc2cnc(N)nc12; [None]; [None]; [0]
+N#CCCc1cccc(-c2cccc3cnc(N)nc23)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cccc4cnc(N)nc34)cc2s1; [None]; [None]; [0]
+Nc1ncc2cccc(NC(=O)c3c(Cl)cccc3Cl)c2n1; ['NC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999563694000244, 0.9969055652618408]
+CCC(=O)Nc1ccc(-c2cccc3cnc(N)nc23)cc1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cccc3cnc(N)nc23)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(F)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9996249675750732, 0.9964454174041748, 0.9872839450836182]
+CC(C)(COc1cccc2cnc(N)nc12)S(C)(=O)=O; [None]; [None]; [0]
+CCCn1cc(-c2cccc3cnc(N)nc23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(C(=O)O)cn1', 'CCCn1cccn1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999986886978149, 0.9999196529388428, 0.9998066425323486, 0.9708682894706726, 0.9459635019302368]
+CC(C)(O)CC(=O)NCCc1cccc2cnc(N)nc12; [None]; [None]; [0]
+COc1ccc(-c2cccc3cnc(N)nc23)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccccc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [1.0, 0.9999996423721313, 0.9999967217445374, 0.999988317489624, 0.9999468326568604, 0.9996351003646851, 0.9995942711830139, 0.9866409301757812, 0.9769197702407837, 0.9529757499694824]
+Nc1ncc2cccc(-c3cnn4ccccc34)c2n1; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Brc1cnn2ccccc12', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cnn2ccccc12', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cnn2ccccc12']; [0.9999864101409912, 0.999846339225769, 0.994621992111206, 0.9526773691177368]
+Nc1ncc2cccc(-c3cc[nH]c(=O)c3)c2n1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(Br)cc[nH]1']; [0.9999996423721313, 0.9999803304672241, 0.9967988729476929]
+Nc1ncc2cccc(-c3cccc4c3C(=O)CC4)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['O=C1CCc2cccc(Br)c21']; [0.9588571786880493]
+C[S@](=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999995231628418, 0.9999417066574097]
+CCN(CC)c1cccc2cnc(N)nc12; ['CCNCC', 'CCNCC', 'CCNCC']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(F)c2n1']; [0.997600793838501, 0.9918282628059387, 0.9829551577568054]
+C[C@@H](Oc1cccc2cnc(N)nc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(F)c2n1']; [0.9988632202148438, 0.9982196092605591]
+CCNS(=O)(=O)c1ccccc1-c1cccc2cnc(N)nc12; ['CCNS(=O)(=O)c1ccccc1Br']; ['Nc1ncc2cccc(Br)c2n1']; [0.8845163583755493]
+CC(C)(N)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['Nc1ncc2cccc(Br)c2n1']; [0.9954502582550049]
+Nc1ncc2cccc(-c3cc4c(=O)[nH]ccc4o3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)c2n1; [None]; [None]; [0]
+COc1ccncc1Nc1cccc2cnc(N)nc12; ['COc1ccncc1N', 'COc1ccncc1N']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999675154685974, 0.9995620846748352]
+Nc1ncc2cccc(Nc3cnccc3-c3ccccc3)c2n1; ['Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999963045120239, 0.9998687505722046]
+COc1cc(CCc2cccc3cnc(N)nc23)cc(OC)c1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cc4c(=O)[nH]cc(Br)c4s3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(Nc3cnc4ccccc4c3)c2n1; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999817609786987, 0.9991679191589355]
+Nc1ncc2cccc(-c3cnc4[nH]ccc4c3)c2n1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1ncc2cccc(Cl)c2n1', 'Brc1cnc2[nH]ccc2c1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1ncc2cccc(Cl)c2n1', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1ncc2cccc(Br)c2n1']; [1.0, 0.999998927116394, 0.9999297857284546, 0.9998285174369812, 0.9997706413269043]
+CC(C)Oc1cncc(-c2cccc3cnc(N)nc23)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc2cnc(N)nc12; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9999856948852539, 0.9999130964279175, 0.9991381764411926, 0.9926974773406982]
+Nc1ncc2cccc(-c3c[nH]c4cnccc34)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['OB(O)c1c[nH]c2cnccc12']; [0.9978828430175781]
+CNC(=O)c1c(F)cccc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999988079071045, 0.9999499320983887, 0.9999135732650757, 0.998344898223877, 0.9968554973602295]
+CN(c1cccc2cnc(N)nc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Nc1ncc2cccc(-n3ccc(CO)n3)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['OCc1cc[nH]n1']; [0.9999653100967407]
+CC1(c2cccc3cnc(N)nc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cccc3cnc(N)nc23)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccccc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999997615814209, 0.9999694228172302, 0.9999408721923828, 0.9991443157196045, 0.9982602596282959, 0.8310549259185791]
+Cc1cc(-c2cccc3cnc(N)nc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+C[C@H](Nc1cccc2cnc(N)nc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@@H](Nc1cccc2cnc(N)nc12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(F)c2n1']; [0.9912079572677612, 0.9300976991653442]
+C[C@H](Nc1cccc2cnc(N)nc12)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(F)c2n1']; [0.9912079572677612, 0.9300976991653442]
+Nc1ncc2cccc(-n3cnc(CCO)c3)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['OCCc1c[nH]cn1']; [0.9999862313270569]
+Nc1ncc2cccc(-c3c(F)cccc3Cl)c2n1; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Fc1cccc(Cl)c1Br', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1c(F)cccc1Cl', 'Nc1ncc2cccc(Br)c2n1', 'OB(O)c1c(F)cccc1Cl']; [0.9999995827674866, 0.9999949932098389, 0.999947726726532, 0.997452974319458]
+Nc1ncc2cccc(-n3ncc4ccccc43)c2n1; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(F)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9997957944869995, 0.9942432641983032, 0.9887189865112305]
+Nc1ncc2cccc(-c3ccc(C(=O)c4ccccc4)cc3)c2n1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Nc1ncc2cccc(Cl)c2n1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccccc1']; [0.9999991655349731, 0.9999764561653137, 0.9995627999305725, 0.9988631010055542, 0.9947671890258789, 0.9542982578277588]
+Nc1ncc2cccc(-c3ccc(-n4cncn4)cc3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-n3ncc4c(O)cccc43)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3nc4ccc(O)cc4[nH]3)c2n1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc3cnc(N)nc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cccc3cnc(N)nc23)c(OC)c1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cn(Cc4ccccc4)nn3)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['c1ccc(Cn2ccnn2)cc1']; [0.991830587387085]
+Nc1ncc2cccc(CCC(=O)NCc3ccccn3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ccn(CC[NH3+])n3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(CS(=O)(=O)NCc3ccccn3)c2n1; [None]; [None]; [0]
+CCc1cc(-c2cccc3cnc(N)nc23)nc(N)n1; ['CCc1cc(Cl)nc(N)n1', 'CCc1ccnc(N)n1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999536871910095, 0.9951003789901733]
+Nc1ncc2cccc(-c3nncn3C3CC3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(Cc3nnc4ccc(-c5ccccc5)nn34)c2n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc3cnc(N)nc23)CC1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3nnc(N)s3)c2n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc3cnc(N)nc23)nc(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3cnc(N)nc23)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc3cnc(N)nc23)n1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cccc4cnc(N)nc34)nc2NC1=O; ['CC1(C)Oc2cccnc2NC1=O', 'CC1(C)Oc2ccc(Br)nc2NC1=O']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9975419640541077, 0.9855520129203796]
+Cn1cc(C(N)=O)cc1-c1cccc2cnc(N)nc12; [None]; [None]; [0]
+Nc1ncc2cccc(-c3nc4ccccc4s3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cccc4ccsc34)c2n1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; ['Nc1ncc2cccc(Br)c2n1', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999970197677612, 0.9998301863670349, 0.9890080094337463]
+Nc1ncc2cccc(-c3cccc4nnsc34)c2n1; [None]; [None]; [0]
+Nc1cncc(-c2cccc3cnc(N)nc23)n1; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'Nc1cnccn1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999102354049683, 0.9944155216217041, 0.8179775476455688]
+Nc1ncc2cccc(Oc3ccc(C[NH3+])cc3F)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3c[nH]c4cccnc34)c2n1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Nc1ncc2cccc(Br)c2n1']; [0.9999967813491821]
+Nc1ncc2cccc(-c3nc(N)c4ccccc4n3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3ncc4cc[nH]c4n3)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['c1ncc2cc[nH]c2n1']; [0.9934986233711243]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc4cnc(N)nc34)c2)cc1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc2cnc(N)nc12; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.999992847442627, 0.9999728202819824, 0.9999407529830933, 0.9992934465408325, 0.9930216073989868, 0.988222599029541]
+CC(=O)Nc1ncc(-c2cccc3cnc(N)nc23)[nH]1; [None]; [None]; [0]
+COc1ccc(Oc2cccc3cnc(N)nc23)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1']; [0.9986853003501892, 0.9340364933013916]
+Nc1ncc2cccc(-c3cn(CCO)cn3)c2n1; [None]; [None]; [0]
+Nc1ncc2cccc(N3CCC(c4nc5ccccc5[nH]4)CC3)c2n1; ['Nc1ncc2cccc(Br)c2n1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9999628067016602]
+COc1ccc(OC)c(-c2cccc3cnc(N)nc23)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)cc1']; ['Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Br)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Cl)c2n1', 'Nc1ncc2cccc(Br)c2n1']; [0.9999765157699585, 0.9999685287475586, 0.9999369382858276, 0.9981577396392822, 0.9921813011169434, 0.9881897568702698, 0.9603571891784668]
+CN(C)S(=O)(=O)c1cccc(-c2cccc3cnc(N)nc23)c1; [None]; [None]; [0]
+Nc1ncc2cccc(-c3cccc(NC(=O)C4CCNCC4)c3)c2n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cccc3cnc(N)nc23)CC1; [None]; [None]; [0]
+Nc1ncc2cccc(N3CC=C(c4c[nH]c5ccccc45)CC3)c2n1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc3cnc(N)nc23)cnn1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(O)c2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2cccc3ncccc23)cc1-c1ccccc1; [None]; [None]; [0]
-CCc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2c(Cl)ccc3c2OCO3)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(Cl)c(O)c2)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2n[nH]c3ccccc23)cc1-c1ccccc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Cn1c(-c2cnc(N)c(-c3ccccc3)c2)nc2ccccc21; [None]; [None]; [0]
 Nc1ncc(-c2c(Cl)cccc2Cl)cc1-c1ccccc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1ncc(Oc2ccc(F)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(O)cc2Cl)cc1-c1ccccc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)c(F)c1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(O)cc2Cl)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2n[nH]c3ccccc23)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(O)cc2F)cc1-c1ccccc1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 Nc1nccc(-c2cnc(N)c(-c3ccccc3)c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2cn[nH]c2Cl)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(-c3ccc(O)cc3O)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 COc1cc(-c2cnc(N)c(-c3ccccc3)c2)ccc1O; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)[O-])cc2)cc1-c1ccccc1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnc(N)c(-c4ccccc4)c3)cc2[nH]1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(-c3ccc(O)cc3O)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2cn[nH]c2Cl)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3ccccc3c2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(Br)c2)cc1-c1ccccc1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)o1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(O)c(F)c2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(=O)[O-])cc2)cc1-c1ccccc1; [None]; [None]; [0]
 COc1cc(CCc2cnc(N)c(-c3ccccc3)c2)ccc1O; [None]; [None]; [0]
-Nc1ncc(COc2cccc(Cl)c2)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(O)cc2O)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(Br)c2)cc1-c1ccccc1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
-Nc1ncc(-c2cnn3ncccc23)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(F)c(Cl)c2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(F)c(Cl)c2)cc1-c1ccccc1; ['NNc1ccccc1', 'NNc1ccc(F)c(Cl)c1']; ['Nc1ccc(-c2ccc(F)c(Cl)c2)cn1', 'Nc1ncccc1-c1ccccc1']; [0.9988113641738892, 0.9462230205535889]
+Cn1cc(-c2cnc(N)c(-c3ccccc3)c2)c2ccccc21; [None]; [None]; [0]
+Nc1ncc(-c2ccc(O)cc2O)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1cc(-c2cnc(N)c(-c3ccccc3)c2)ccn1; [None]; [None]; [0]
 Nc1ncc(COc2ccccc2Cl)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc([C@H](CO)c2ccccc2)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(CCc2ccc(Cl)cc2)cc1-c1ccccc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
+Nc1ncc(-c2c[nH]c3cnccc23)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2cnn3ncccc23)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2cc(O)ccc2Cl)cc1-c1ccccc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 Cc1ccc(CO)cc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-Nc1ncc(-c2c(Cl)ccc3c2OCO3)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cnc(O)c(Cl)c2)cc1-c1ccccc1; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnc(N)c(-c3ccccc3)c2)c[nH]1; [None]; [None]; [0]
 COc1cc(OC)cc(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
 COc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1OC; [None]; [None]; [0]
-CNC(=O)c1cccc2cc(-c3cnc(N)c(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
+Nc1ncc(-c2cnc(O)c(Cl)c2)cc1-c1ccccc1; [None]; [None]; [0]
+CCOc1cccc(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cnc(N)c(-c3ccccc3)c2)c[nH]1; [None]; [None]; [0]
+Nc1ncc(-c2[nH]cnc2-c2ccc(F)cc2)cc1-c1ccccc1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cnc(N)c(-c4ccccc4)c3)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1ncc(-c2cnc3[nH]ccc3c2)cc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(CCc2cnc(N)c(-c3ccccc3)c2)cc(OC)c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cnc(N)c(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
 Nc1ncc(-c2nc3ccccc3s2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2cncc(O)c2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc3c(c2)CC(=O)N3)cc1-c1ccccc1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 C[C@H](CC(N)=O)c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 CNc1nccc(-c2cnc(N)c(-c3ccccc3)c2)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cnc(N)c(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnc(N)c(-c3ccccc3)c2)c1C; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccncc2Cl)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(c2)CCN3)cc1-c1ccccc1; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-CCc1sccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
+Nc1ncc(-c2cc(C(F)F)n[nH]2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2cc(Cl)c(O)c(Cl)c2)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(c2)CCN3)cc1-c1ccccc1; [None]; [None]; [0]
+CCc1sccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 Nc1ncc(-c2cc(O)n3nccc3n2)cc1-c1ccccc1; [None]; [None]; [0]
-Cc1oc(-c2cnc(N)c(-c3ccccc3)c2)cc1C(=O)[O-]; [None]; [None]; [0]
+CNc1nc(-c2cnc(N)c(-c3ccccc3)c2)ncc1F; [None]; [None]; [0]
+Nc1ncc(Nc2ccncc2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(Br)cc2F)cc1-c1ccccc1; ['NNc1ccc(Br)cc1F']; ['Nc1ncccc1-c1ccccc1']; [0.7833437919616699]
 Nc1ncc(-c2ccc3[nH]c(=O)[nH]c3c2)cc1-c1ccccc1; [None]; [None]; [0]
 Cn1ncc(N)c1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-Nc1ncc(Nc2ccncc2)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Br)cc2F)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2[nH]nc3ccc(F)cc23)cc1-c1ccccc1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnc(N)c(-c3ccccc3)c2)c1C; [None]; [None]; [0]
+Cc1oc(-c2cnc(N)c(-c3ccccc3)c2)cc1C(=O)[O-]; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-CN(c1cnc(N)c(-c2ccccc2)c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 Nc1ncc(-c2cc(O)cc(Br)c2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(C(=O)NC3CC3)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+CN(c1cnc(N)c(-c2ccccc2)c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 Cc1cc(-c2cnc(N)c(-c3ccccc3)c2)ccc1C(N)=O; [None]; [None]; [0]
-Nc1ncc(-c2cc(F)c(O)c(F)c2)cc1-c1ccccc1; [None]; [None]; [0]
+Cc1cc(-c2cnc(N)c(-c3ccccc3)c2)cc(C)c1O; [None]; [None]; [0]
+Nc1ncc(-c2[nH]nc3ccc(F)cc23)cc1-c1ccccc1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cnc(N)c(-c4ccccc4)c3)cc2o1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(=O)[nH][nH]c3c2)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2[nH]cnc2-c2ccc(F)cc2)cc1-c1ccccc1; [None]; [None]; [0]
 CSc1cccc(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
-Nc1ncc(OCc2ccccc2)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(CCc2c[nH]c3ccccc23)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(OCc2cccc3ccccc23)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ocnc2-c2ccc(F)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2cc(F)c(O)c(F)c2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(Oc2ccc(F)cc2F)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(Oc2ccccc2F)cc1-c1ccccc1; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(F)cc2Cl)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(OCc2cccc3ccccc23)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(CCc2c[nH]c3ccccc23)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ocnc2-c2ccc(F)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(=O)[nH][nH]c3c2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2cn[nH]c2-c2ccc(Cl)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+CCOc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1ncc(OCc2ccc(F)cc2F)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(CCc2ccc(F)cc2F)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(NCc2c(F)cccc2Cl)cc1-c1ccccc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ncc3ccccc3n2)cc1-c1ccccc1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 COc1ncccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
 COc1cc(-c2cnc(N)c(-c3ccccc3)c2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnc(N)c(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1ncc(-c2cnc3cccnn23)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(O)c2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ncc3ccccc3n2)cc1-c1ccccc1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 COc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(N3CCOCC3)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cnc(N)c(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
+Cc1cc(Nc2cnc(N)c(-c3ccccc3)c2)sn1; [None]; [None]; [0]
 Nc1ncc(-c2cccc(NC(=O)C3CC3)c2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2nc3ccccc3[nH]2)cc1-c1ccccc1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc(N)c(-c4ccccc4)c3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(Nc2cnc(N)c(-c3ccccc3)c2)sn1; [None]; [None]; [0]
-Nc1ncc(-n2ncc3ccccc3c2=O)cc1-c1ccccc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cn1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
 Nc1ncc(Nc2ncccn2)cc1-c1ccccc1; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3cnc(N)c(-c4ccccc4)c3)cn2)c1; [None]; [None]; [0]
+Nc1ncc(-c2nccc3ccccc23)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(C(=O)Nc3ccccc3)cc2)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(Cc2nccc3ccccc23)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(OCCO)cc2)cc1-c1ccccc1; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1ncc(-c2cccc(C3CCNCC3)c2)cc1-c1ccccc1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc(N)c(-c4ccccc4)c3)cc2)CC1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cnc(N)c(-c4ccccc4)c3)cn2)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(OCCO)cc2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cc2)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cn2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(Nc2ccncn2)cc1-c1ccccc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(c2)CS(=O)(=O)C3)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(C(F)(F)F)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cn2)cc1-c1ccccc1; [None]; [None]; [0]
 CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2ccccc2O)cc1-c1ccccc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Cc1nc(C)c(-c2cnc(N)c(-c3ccccc3)c2)s1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(c2)CS(=O)(=O)C3)cc1-c1ccccc1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2cnc(N)c(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2cnc(N)c(-c3ccccc3)c2)cn1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1ncc([C@H]2CCN(C(=O)c3ccccc3)C2)cc1-c1ccccc1; [None]; [None]; [0]
 CC(C)c1cc(-c2cnc(N)c(-c3ccccc3)c2)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(Br)cc2)cc1-c1ccccc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cnc(N)c(-c4ccccc4)c3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cnc(N)c(-c3ccccc3)c2)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Br)cc2)cc1-c1ccccc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CCCOc1ccc(-c2cnc(N)c(-c3ccccc3)c2)nc1; [None]; [None]; [0]
+Nc1ncc(-c2ccn3nccc3n2)cc1-c1ccccc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)c(C)c1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; ['CCN(CC)C(=O)c1ccc(I)cc1']; ['Nc1ncccc1-c1ccccc1']; [0.9018285870552063]
 COc1ccc(Cl)cc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(c2)CCO3)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2c[nH]c3ccccc23)cc1-c1ccccc1; [None]; [None]; [0]
-COc1cc(OC)c(-c2cnc(N)c(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccccc2-n2cccn2)cc1-c1ccccc1; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cnc(N)c(-c4ccccc4)c3)[nH]c2c1; [None]; [None]; [0]
-Nc1ncc(-c2ccc3c(c2)CCO3)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(-c2cc3ccccc3cn2)cc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cnc(N)c(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; ['CC(C)(C)c1ccc(-c2ccc(N)nc2)cc1']; ['NNc1ccccc1']; [0.8790602087974548]
+Nc1ncc(-c2cccc3c2OCO3)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2cc(-c3ccccc3)[nH]n2)cc1-c1ccccc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-Nc1ncc(-c2cccc3c2OCO3)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2scc3c2OCCO3)cc1-c1ccccc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1ncc(-c2cnc3ccccc3c2)cc1-c1ccccc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cn1; [None]; [None]; [0]
-Nc1ncc(Cc2nc3c(F)c(F)ccc3[nH]2)cc1-c1ccccc1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c(-c3ccccc3)c2)CC1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CSc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; ['CSc1ccc(-c2ccc(N)nc2)cc1']; ['NNc1ccccc1']; [0.8844289779663086]
+Nc1ncc(-c2cc3ccccc3s2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1nc(-c2cnc(N)c(-c3ccccc3)c2)cs1; [None]; [None]; [0]
 CC1(COc2cnc(N)c(-c3ccccc3)c2)COC1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c(-c3ccccc3)c2)CC1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnc(N)c(-c4ccccc4)c3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cnc(N)c(-c3ccccc3)c2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc([C@H](CO)Cc2ccccc2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccn(-c3cccc(Cl)c3)n2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(F)cc2Cl)cc1-c1ccccc1; [None]; [None]; [0]
+CCc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1ncc(-c2ncc(Br)cn2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(Cl)cc2Cl)cc1-c1ccccc1; ['NNc1ccccc1']; ['Nc1ccc(-c2ccc(Cl)cc2Cl)cn1']; [0.8532218337059021]
+CCN1CCN(Cc2ccc(-c3cnc(N)c(-c4ccccc4)c3)cc2)CC1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(c2)CCC(=O)N3)cc1-c1ccccc1; [None]; [None]; [0]
 COc1ccc(CNc2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(Cl)cc2Cl)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(CCCn2cncn2)cc1-c1ccccc1; [None]; [None]; [0]
+Cc1cc(-c2cnc(N)c(-c3ccccc3)c2)nc(N)n1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(-c3ccccc3)c2)ccc1N1CCOCC1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Cn1cc(-c2cnc(N)c(-c3ccccc3)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
 Nc1ncc(NC2CN(C(=O)C3CC3)C2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2ncc3cccn3n2)cc1-c1ccccc1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(-c3ccccc3)c2)ccc1N1CCOCC1; [None]; [None]; [0]
 Nc1ncc(-c2cc3ccccn3n2)cc1-c1ccccc1; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(-c3ccccc3)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cnc(N)c(-c4ccccc4)c3)ccc2O1; [None]; [None]; [0]
 COc1ccc2cccc(-c3cnc(N)c(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
-Nc1ncc(-c2cccc3ccc(O)cc23)cc1-c1ccccc1; [None]; [None]; [0]
 COc1cc(F)c(-c2cnc(N)c(-c3ccccc3)c2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(-c3ccccc3)c2)ccc1Cl; [None]; [None]; [0]
-Nc1ncc(-c2ncc(Cl)cn2)cc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(-c3ccccc3)c2)ccc1Cl; ['COc1cc(NN)ccc1Cl']; ['Nc1ncccc1-c1ccccc1']; [0.7986218929290771]
 Cc1csc2c(-c3cnc(N)c(-c4ccccc4)c3)ncnc12; [None]; [None]; [0]
+Nc1ncc(-c2cnn(CCO)c2)cc1-c1ccccc1; [None]; [None]; [0]
 Cc1nc(Nc2cnc(N)c(-c3ccccc3)c2)sc1C; [None]; [None]; [0]
+Nc1ncc(-c2ncc(Cl)cn2)cc1-c1ccccc1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cnc(N)c(-c4ccccc4)c3)ccc2O1; [None]; [None]; [0]
+Nc1ncc(-c2cccc3ccc(O)cc23)cc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(-c3ccccc3)c2)c(OC)cc1Br; [None]; [None]; [0]
 Cc1cc(Nc2cnc(N)c(-c3ccccc3)c2)nn1C; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)nc1; [None]; [None]; [0]
+Nc1ncc(NC(=O)c2ccco2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1cc(-c2cnc(N)c(-c3ccccc3)c2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c(-c3ccccc3)c2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 Nc1ncc(Cc2ccc(S(=O)(=O)CCO)cc2)cc1-c1ccccc1; [None]; [None]; [0]
-Nc1ncc(NC(=O)c2ccco2)cc1-c1ccccc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnc(N)c(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cnc(N)c(-c3ccccc3)c2)CC1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cc1-c1ccccc1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cnc(N)c(-c3ccccc3)c1)cn2C; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 COc1ccc2oc(-c3cnc(N)c(-c4ccccc4)c3)cc2c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnc(N)c(-c3ccccc3)c2)CC1; [None]; [None]; [0]
 Nc1ncc(-c2ccc3cn[nH]c3c2)cc1-c1ccccc1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cnc(N)c(-c3ccccc3)c2)CC1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cnc(N)c(-c3ccccc3)c1)cn2C; [None]; [None]; [0]
+Nc1ncc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cc1-c1ccccc1; [None]; [None]; [0]
 CCn1cc(-c2cnc(N)c(-c3ccccc3)c2)cn1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2cc3ccccc3o2)cc1-c1ccccc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
+Nc1ncc(-c2ncc3sccc3n2)cc1-c1ccccc1; [None]; [None]; [0]
+COc1ccc2nc(-c3cnc(N)c(-c4ccccc4)c3)[nH]c2c1; [None]; [None]; [0]
 Nc1ncc(-c2cc(-c3cccnc3)ccn2)cc1-c1ccccc1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
-Nc1ncc(-c2cc3ccccc3o2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(OC(F)(F)F)cc2)cc1-c1ccccc1; ['NNc1ccccc1', 'NNc1ccc(OC(F)(F)F)cc1']; ['Nc1ccc(-c2ccc(OC(F)(F)F)cc2)cn1', 'Nc1ncccc1-c1ccccc1']; [0.9958198666572571, 0.9183902740478516]
 Cn1cc(Br)cc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-Nc1ncc(-c2ncc3sccc3n2)cc1-c1ccccc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1ncc(-c2cccc(NC(=O)N3CCCC3)c2)cc1-c1ccccc1; [None]; [None]; [0]
-COc1ccc2nc(-c3cnc(N)c(-c4ccccc4)c3)[nH]c2c1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(OC(F)(F)F)cc2)cc1-c1ccccc1; [None]; [None]; [0]
-Cn1cc(-c2cnc(N)c(-c3ccccc3)c2)c2ccccc21; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cn1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cnc(N)c(-c4ccccc4)c3)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(-c2cnc(N)c(-c3ccccc3)c2)n1; [None]; [None]; [0]
-Nc1ncc(-c2ncn3c2CCCC3)cc1-c1ccccc1; [None]; [None]; [0]
 Cc1cc(-c2cnc(N)c(-c3ccccc3)c2)cc(C)c1OCCO; [None]; [None]; [0]
+Nc1ncc(-c2ncn3c2CCCC3)cc1-c1ccccc1; [None]; [None]; [0]
 Cn1ncc2cc(-c3cnc(N)c(-c4ccccc4)c3)ccc21; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3cnc(N)c(-c4ccccc4)c3)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cn1; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3cnc(N)c(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
-Nc1ncc(-c2cccc(N3CCCC3=O)c2)cc1-c1ccccc1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cnc(N)c(-c4ccccc4)c3)cn2)CC1; [None]; [None]; [0]
-Nc1ncc(-c2ccc(CCO)cc2)cc1-c1ccccc1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cnc(N)c(-c4ccccc4)c3)ccc21; [None]; [None]; [0]
+Nc1ncc(-c2cccc(N3CCCC3=O)c2)cc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(NC(=O)c2cccc(OC(F)(F)F)c2)cc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(CCO)cc2)cc1-c1ccccc1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)c(Cl)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cnc(N)c(-c4ccccc4)c3)cc2)n1C; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3cnc(N)c(-c4ccccc4)c3)cc2)n1C; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cnc(N)c(-c3ccccc3)c2)cc1C(C)(C)O; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Cc1cc(Nc2cnc(N)c(-c3ccccc3)c2)ncc1F; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)c(OC)c1; [None]; [None]; [0]
 Nc1ncc(Nc2ccc(F)cn2)cc1-c1ccccc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)c2)nc1; [None]; [None]; [0]
 Nc1ncc(Nc2ccccn2)cc1-c1ccccc1; [None]; [None]; [0]
-Cc1cc(Nc2cnc(N)c(-c3ccccc3)c2)ncc1F; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cnc(N)c(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cc(F)ccc2O)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccccc1', 'CC(=O)N(C)c1ccccc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I']; [0.9999792575836182, 0.9999538660049438, 0.9996800422668457, 0.9992534518241882, 0.9964408874511719, 0.9659181833267212, 0.9044615626335144]
+COc1ncccc1-c1cc(F)ccc1O; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1ncccc1B(O)O', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1I', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1Cl']; ['COc1ncccc1Br', 'Oc1ccc(F)cc1Br', 'COc1ncccc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.9999721050262451, 0.9999644756317139, 0.9996052384376526, 0.9995353817939758, 0.9994573593139648, 0.9993016719818115, 0.9992166757583618, 0.9987793564796448, 0.9973850250244141, 0.9957758188247681, 0.9923086166381836]
 Cc1ccc(C(=O)NCCO)cc1-c1cnc(N)c(-c2ccccc2)c1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cc(F)ccc1O; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(F)ccc3O)cc2)CC1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cc(F)ccc2O)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Cl)c1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O']; [0.999996542930603, 0.9999924302101135, 0.9999877214431763, 0.9999241828918457, 0.9998983144760132, 0.9995890259742737, 0.9994728565216064, 0.997200608253479, 0.9927821159362793, 0.9905235171318054]
+CCOc1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
+Oc1ccc(F)cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cnc(N)c(-c3ccccc3)c2)c1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cc(F)ccc1O; ['Cc1csc(C(C)(C)O)n1']; ['Oc1ccc(F)cc1Br']; [0.9982596635818481]
+Cc1ccc2ncn(-c3cc(F)ccc3O)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.9847577810287476, 0.9722951054573059, 0.865998387336731]
+Oc1ccc(F)cc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O']; [0.9999995231628418, 0.999995768070221, 0.9999408721923828, 0.9992624521255493]
+COc1cc(-c2cc(F)ccc2O)cc(OC)c1OC; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc([Mg]Br)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc([Mg]Br)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1ccc(C(=O)O)c(OC)c1OC', 'COc1cccc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc([Mg]Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc([Mg]Br)cc(OC)c1OC', 'COc1cccc(OC)c1OC', 'COc1cccc(OC)c1OC']; ['COc1cc(Br)cc(OC)c1OC', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'COc1cc(I)cc(OC)c1OC', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1Cl', 'O=C(O)c1cc(O)ccc1F', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.9999326467514038, 0.9997318983078003, 0.9996614456176758, 0.9995546340942383, 0.9990196228027344, 0.9986092448234558, 0.9984883069992065, 0.9976767301559448, 0.9974013566970825, 0.9973549246788025, 0.9958155155181885, 0.9956629276275635, 0.9949157238006592, 0.9945881366729736, 0.984115481376648, 0.9662330150604248, 0.9604942202568054, 0.9471766352653503, 0.9438455700874329, 0.9356102347373962, 0.9340970516204834, 0.9269471168518066, 0.9161983728408813, 0.9025125503540039, 0.8046033382415771, 0.7555863261222839]
+Oc1ccc(F)cc1-c1ccc(N2CCOCC2)cc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Br[Mg]c1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Oc1ccc(F)cc1Br', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'OB(O)c1cc(F)ccc1O', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Ic1ccc(N2CCOCC2)cc1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'c1ccc(N2CCOCC2)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1Cl', 'c1ccc(N2CCOCC2)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9999983906745911, 0.999990701675415, 0.9999576807022095, 0.9999528527259827, 0.9999496936798096, 0.9999314546585083, 0.9999253749847412, 0.9998674392700195, 0.9996538162231445, 0.9996508359909058, 0.9995107054710388, 0.9994228482246399, 0.9988002777099609, 0.9985533952713013, 0.9973087310791016, 0.9970333576202393, 0.9956915378570557, 0.994865894317627, 0.9912323355674744, 0.9901869297027588, 0.9860820770263672, 0.9610273838043213, 0.8456981182098389, 0.8333929777145386, 0.7590939998626709]
+N#Cc1ccc(O)c(-c2cc(F)ccc2O)c1; [None]; [None]; [0]
+Oc1cccc(-c2cc(F)ccc2O)c1; [None]; [None]; [0]
+COc1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(F)ccc2O)c1)C1CC1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'O=C(Nc1cccc(Br)c1)C1CC1', 'O=C(Nc1cccc(Br)c1)C1CC1']; ['O=C(Nc1cccc(Br)c1)C1CC1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br']; [0.9999583959579468, 0.9994922876358032, 0.9931150078773499]
+Cc1cc(Nc2cc(F)ccc2O)sn1; ['Cc1cc(N)sn1', 'Cc1cc(N)sn1', 'Cc1cc(N)sn1', 'Cc1cc(N)sn1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1O', 'Nc1cc(F)ccc1O']; [0.999311625957489, 0.999191403388977, 0.9915226101875305, 0.9836368560791016]
+Oc1ccc(F)cc1-c1nc2ccccc2[nH]1; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]']; ['OCc1cc(F)ccc1O', 'O=Cc1cc(F)ccc1O', 'O=C(O)c1cc(F)ccc1O', 'O=Cc1cc(F)ccc1O']; [0.9982617497444153, 0.9965254068374634, 0.9916146993637085, 0.9759870767593384]
+O=C([O-])c1ccc(-c2cc(F)ccc2O)cc1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C']; ['O=C([O-])c1ccc(Cl)cc1']; [0.9569666385650635]
+NC(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'NC(=O)c1ccc(Cl)cc1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I']; [0.9999887347221375, 0.9999085068702698, 0.9994549751281738, 0.9991599321365356, 0.9988945722579956, 0.9987854957580566, 0.9985212087631226, 0.9970319867134094, 0.995451807975769, 0.9879204034805298, 0.9863142371177673, 0.9278374910354614, 0.8840880393981934, 0.8569592237472534, 0.8505105972290039, 0.7953079342842102]
+Oc1ccc(F)cc1Nc1ncccn1; ['Nc1ncccn1', 'Clc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1cc(F)ccc1O']; ['Oc1ccc(F)cc1Br', 'Nc1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1F', 'Nc1ncccn1']; [0.9881044626235962, 0.9863905906677246, 0.9828431606292725, 0.9460746645927429, 0.8452964425086975, 0.7606483697891235, 0.7603594064712524]
+Oc1ccc(F)cc1-c1nccc2ccccc12; ['Brc1nccc2ccccc12', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Ic1nccc2ccccc12', 'Brc1nccc2ccccc12', 'Clc1nccc2ccccc12', 'OB(O)c1cc(F)ccc1O']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Clc1nccc2ccccc12', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'c1ccc2cnccc2c1']; [0.9999617338180542, 0.9989047050476074, 0.9987543821334839, 0.9926179647445679, 0.9653891324996948, 0.9243009686470032]
+O=C(Nc1ccccc1)c1ccc(-c2cc(F)ccc2O)cc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl']; [0.999992847442627, 0.9999649524688721, 0.9996052980422974, 0.9993492364883423, 0.9993427991867065, 0.989507794380188, 0.8000776171684265, 0.785219669342041]
 N#Cc1cccc(Cn2cc(-c3cc(F)ccc3O)cn2)c1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3cc(F)ccc3O)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(-c2cc(F)ccc2O)nc(N)n1; [None]; [None]; [0]
+Oc1ccc(F)cc1-c1cccc(C2CCNCC2)c1; ['Brc1cccc(C2CCNCC2)c1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Brc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Clc1cccc(C2CCNCC2)c1', 'OB(O)c1cc(F)ccc1O']; [0.9999444484710693, 0.9912214279174805, 0.9881060719490051]
+Oc1ccc(F)cc1Nc1ccncn1; ['Nc1ccncn1', 'Nc1cc(F)ccc1O', 'Clc1ccncn1', 'Nc1ccncn1', 'Nc1cc(F)ccc1O', 'Brc1ccncn1', 'Fc1ccncn1', 'Nc1ccncn1']; ['Oc1ccc(F)cc1Br', 'O=c1ccnc[nH]1', 'Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1F', 'Oc1ccncn1', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl']; [0.9986881613731384, 0.9931327104568481, 0.9907151460647583, 0.9726836681365967, 0.962090015411377, 0.9575080871582031, 0.9504117965698242, 0.9425413608551025]
+O=C(c1ccc(-c2cc(F)ccc2O)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'Oc1ccc(F)cc1Br', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.9999961853027344, 0.9999825358390808, 0.9998409152030945, 0.9998151659965515, 0.9997346997261047, 0.999701976776123, 0.9995757937431335, 0.9988553524017334, 0.9966080784797668, 0.9932979941368103, 0.9619048833847046, 0.9542165994644165, 0.9542117118835449, 0.8952931761741638]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(F)ccc3O)cc2)CC1; [None]; [None]; [0]
+O=C(c1ccc(-c2cc(F)ccc2O)nc1)N1CCOCC1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'OB(O)c1cc(F)ccc1O']; [0.9999786615371704, 0.9999594688415527]
+OCCOc1ccc(-c2cc(F)ccc2O)cc1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OCCOc1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'OCCOc1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccccc1', 'OB(O)c1cc(F)ccc1O']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(I)cc1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'OCCOc1ccc(Cl)cc1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(Br)cc1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OCCOc1ccc(Cl)cc1']; [0.9999939203262329, 0.9999537467956543, 0.999843180179596, 0.999477744102478, 0.9991140365600586, 0.9986009001731873, 0.9979898929595947, 0.9972732663154602, 0.9952123165130615, 0.9912833571434021, 0.974909245967865, 0.889411211013794, 0.7759206295013428]
+CC(=O)NCc1ccc(-c2cc(F)ccc2O)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I']; [0.9999922513961792, 0.9999334812164307, 0.9998501539230347, 0.9993308186531067, 0.998871922492981, 0.9986509084701538, 0.9563131332397461, 0.9259046316146851, 0.895182728767395]
+CNS(=O)(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.9999829530715942, 0.9999271631240845, 0.9996556043624878, 0.9995803236961365, 0.9989887475967407, 0.9979953169822693, 0.9970788955688477, 0.9780756831169128, 0.9353177547454834, 0.9028119444847107, 0.8902329802513123]
+C[C@H](O)COc1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc(F)ccc2O)s1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1', 'Cc1nc(C)c(Br)s1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(Br)s1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1']; [0.999992847442627, 0.9999822378158569, 0.9997870922088623, 0.9996007084846497, 0.9577780961990356]
+O=S1(=O)Cc2ccc(-c3cc(F)ccc3O)cc2C1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br']; [0.9998545050621033, 0.9925504922866821, 0.9460196495056152, 0.8264250755310059]
+CN(C)c1ccc(-c2cc(F)ccc2O)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc([Mg]Br)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc([B-](F)(F)F)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc([Mg]Br)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc([Mg]Br)cc1', 'CN(C)c1ccccc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc([B-](F)(F)F)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccccc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1cccc(Cl)c1', 'CN(C)c1cccc(C=O)c1', 'CN(C)c1ccccc1', 'CN(C)c1ccc(I)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CN(C)c1ccc(Br)cc1', 'Oc1ccc(F)cc1Cl', 'CN(C)c1ccc(I)cc1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CN(C)c1ccc(Cl)cc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'O=C(O)c1cc(O)ccc1F', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1']; [0.9999959468841553, 0.9999780654907227, 0.9999257326126099, 0.9998847246170044, 0.9997484683990479, 0.9997454881668091, 0.9995996356010437, 0.9993573427200317, 0.999228835105896, 0.9990994930267334, 0.998592734336853, 0.9968500137329102, 0.9958760142326355, 0.9939326047897339, 0.9922846555709839, 0.9914054870605469, 0.9908298254013062, 0.9896137118339539, 0.9779295325279236, 0.9716681241989136, 0.9714535474777222, 0.9583311080932617, 0.9152356386184692, 0.9126295447349548, 0.9118865728378296, 0.8900185227394104, 0.8820838332176208, 0.8238539099693298, 0.780015230178833, 0.764358401298523]
+Oc1ccc(F)cc1-c1ccc(C(F)(F)F)cc1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc([Mg]Br)cc1', 'FC(F)(F)c1ccc(I)cc1', 'F[B-](F)(F)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'FC(F)(F)c1ccc([Mg]Br)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'O=S(=O)(Oc1ccc(C(F)(F)F)cc1)C(F)(F)F', 'FC(F)(F)c1ccc(Br)cc1', 'O=S(=O)(Oc1ccc(C(F)(F)F)cc1)C(F)(F)F', 'CCO[Si](OCC)(OCC)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc([Mg]Br)cc1', 'FC(F)(F)c1ccc(I)cc1', 'F[B-](F)(F)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'FC(F)(F)c1ccc([Mg]Br)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(I)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccccc1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(I)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'FC(F)(F)c1ccc(Br)cc1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'FC(F)(F)c1ccc(I)cc1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'FC(F)(F)c1ccc(Cl)cc1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1F', 'O=C(O)c1cc(O)ccc1F', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1I', 'O=Cc1cc(O)ccc1F', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9999963045120239, 0.9999570250511169, 0.9999438524246216, 0.999854564666748, 0.9996894598007202, 0.9996886253356934, 0.9996772408485413, 0.9995359182357788, 0.9993860721588135, 0.9992977976799011, 0.9992731809616089, 0.9991226196289062, 0.9988902807235718, 0.998875081539154, 0.9981310963630676, 0.9972966909408569, 0.9966152906417847, 0.9946683645248413, 0.9932668805122375, 0.9927818775177002, 0.9915753602981567, 0.9905762672424316, 0.9809129238128662, 0.9774012565612793, 0.9705630540847778, 0.9692002534866333, 0.9600256681442261, 0.9592534303665161, 0.8767731189727783, 0.7935291528701782, 0.7613022923469543]
+CN(C)S(=O)(=O)c1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
+CC(C)c1cc(-c2cc(F)ccc2O)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1ccnc(N)n1', 'CC(C)c1ccnc(N)n1']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.9999549388885498, 0.9995638728141785, 0.99934983253479, 0.9991029500961304]
+CCNS(=O)(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CCNS(=O)(=O)c1ccc(Br)cc1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'CCNS(=O)(=O)c1ccccc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl']; [0.9997847080230713, 0.9991106986999512, 0.998664140701294, 0.997733473777771, 0.9974775314331055, 0.9823939800262451, 0.9695591926574707, 0.9559293985366821, 0.811396598815918, 0.8010560274124146]
 CC(=O)N1CCCN(c2cccc(-c3cc(F)ccc3O)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cc(F)ccc2O)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cc(F)ccc3O)[nH]c2c1; [None]; [None]; [0]
+CCCOc1ccc(-c2cc(F)ccc2O)nc1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCCOc1ccc(Br)nc1', 'CCCOc1ccc(Br)nc1']; ['CCCOc1ccc(Br)nc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br']; [0.9999700784683228, 0.9999333024024963, 0.9998459815979004]
+CS(=O)(=O)N1CCC(c2cc(F)ccc2O)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2cc(F)ccc2O)C1; [None]; [None]; [0]
+Oc1ccc(F)cc1-c1ccc(Br)cc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1ccc(I)cc1', 'Brc1ccc(Br)cc1', 'Brc1ccc(I)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'O=S(=O)(Oc1ccc(Br)cc1)C(F)(F)F', 'Brc1ccc(I)cc1', 'Br[Mg]c1ccc(Br)cc1', 'F[B-](F)(F)c1ccc(Br)cc1', 'O=S(=O)(Oc1ccc(Br)cc1)C(F)(F)F', 'Brc1ccc(I)cc1', 'Br[Mg]c1ccc(Br)cc1', 'Br[Mg]c1ccc(Br)cc1', 'Brc1ccc(Br)cc1', 'N#[N+]c1ccc(Br)cc1', 'Brc1ccc(I)cc1', 'Brc1ccc(Br)cc1', 'Brc1ccc(Br)cc1', 'Clc1ccc(Br)cc1', 'Brc1ccc(I)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1', 'O=C(O)c1cc(O)ccc1F', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'O=Cc1cc(O)ccc1F']; [0.9999847412109375, 0.9999746084213257, 0.9995632171630859, 0.9983818531036377, 0.9974438548088074, 0.9965041279792786, 0.9946127533912659, 0.9945039749145508, 0.9941056370735168, 0.9931818246841431, 0.9914884567260742, 0.9887405037879944, 0.9806355237960815, 0.9660922288894653, 0.9583951234817505, 0.9443711638450623, 0.9126570224761963, 0.9115160703659058, 0.9070005416870117, 0.8207727074623108, 0.8022919297218323, 0.7781163454055786]
+CN(C)c1ccc(-c2cc(F)ccc2O)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl', 'CN(C)c1ccccc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CN(C)c1ccc(Br)cc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I']; [0.9999979734420776, 0.9999921917915344, 0.999983549118042, 0.9997090697288513, 0.9994471073150635, 0.9992662668228149, 0.9988374710083008, 0.9945616722106934, 0.9231569766998291, 0.8648083806037903, 0.8481197953224182]
+CCN(CC)C(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Oc1ccc(F)cc1Cl', 'CCN(CC)C(=O)c1ccc(I)cc1', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1']; [0.9999990463256836, 0.9999944567680359, 0.9999821186065674, 0.9999592304229736, 0.9999582767486572, 0.9998904466629028, 0.9996732473373413, 0.9992867708206177, 0.9991599321365356, 0.9913352727890015, 0.9449001550674438, 0.8359447121620178]
+Oc1ccc(F)cc1-c1ccn2nccc2n1; ['Brc1ccn2nccc2n1', 'Clc1ccn2nccc2n1', 'Brc1ccn2nccc2n1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C']; ['OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Clc1ccn2nccc2n1']; [0.999557614326477, 0.9995460510253906, 0.9995262026786804, 0.998602032661438]
+CNS(=O)(=O)c1ccc(-c2cc(F)ccc2O)c(C)c1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl']; [0.999995768070221, 0.999967098236084, 0.999729335308075, 0.9997172355651855, 0.999701738357544, 0.9994631409645081, 0.9993172287940979, 0.9982805252075195, 0.9933370351791382]
+Cc1c(C(=O)[O-])cccc1-c1cc(F)ccc1O; [None]; [None]; [0]
+Oc1ccc(F)cc1-c1ccccc1-n1cccn1; ['Brc1ccccc1-n1cccn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'OB(O)c1ccccc1-n1cccn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'OB(O)c1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1', 'Oc1ccc(F)cc1Br', 'Brc1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Oc1ccc(F)cc1I', 'OB(O)c1ccccc1-n1cccn1', 'Clc1ccccc1-n1cccn1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'c1ccc(-n2cccn2)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1Cl', 'c1ccc(-n2cccn2)cc1', 'Oc1ccc(F)cc1', 'OB(O)c1cc(F)ccc1O', 'c1ccc(-n2cccn2)cc1', 'c1ccc(-n2cccn2)cc1', 'Oc1ccccc1-n1cccn1']; [0.9999986886978149, 0.9999918937683105, 0.9999871850013733, 0.9999555349349976, 0.9999442100524902, 0.9999035596847534, 0.9997789859771729, 0.9976412653923035, 0.9972732067108154, 0.996492862701416, 0.9934022426605225, 0.988210916519165, 0.9807502031326294, 0.9399809837341309, 0.8518203496932983]
+COc1ccc(Cl)cc1-c1cc(F)ccc1O; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1[Mg]Br', 'COc1ccc(Cl)cc1[Mg]Br', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1[Mg]Br', 'COc1ccc(Cl)cc1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1[Mg]Br', 'COc1ccc(Cl)cc1[N+]#N', 'COc1ccc(Cl)cc1', 'COc1ccc(Cl)cc1']; ['COc1ccc(Cl)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'COc1ccc(Cl)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I']; [0.9999521970748901, 0.999859094619751, 0.9998375177383423, 0.9998301267623901, 0.9996230602264404, 0.9995781183242798, 0.9993687868118286, 0.9992053508758545, 0.9989663362503052, 0.998816192150116, 0.9967408180236816, 0.9962887763977051, 0.9950996041297913, 0.9910241961479187, 0.9876704216003418, 0.9873670339584351, 0.987208366394043, 0.9850895404815674, 0.9838393926620483, 0.9817558526992798, 0.9688215255737305, 0.9411420822143555, 0.9072360992431641, 0.9065076112747192, 0.8893470168113708, 0.8493082523345947]
+Oc1ccc(F)cc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+Oc1ccc(F)cc1-c1ccc2c(c1)CCO2; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Ic1ccc2c(c1)CCO2', 'Br[Mg]c1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'Clc1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Br[Mg]c1ccc2c(c1)CCO2', 'Oc1ccc(F)cc1Br']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Ic1ccc2c(c1)CCO2', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Clc1ccc2c(c1)CCO2', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Cl', 'c1ccc2c(c1)CCO2']; [0.9999734163284302, 0.9999340772628784, 0.9999253749847412, 0.9997468590736389, 0.9996839761734009, 0.9995155334472656, 0.999240517616272, 0.999204695224762, 0.9972814321517944, 0.9969346523284912, 0.9962111711502075, 0.9959768056869507, 0.9853994846343994, 0.9795968532562256, 0.8193804025650024, 0.8095935583114624]
+CC(C)c1ccc2nc(-c3cc(F)ccc3O)[nH]c2c1; ['CC(C)c1ccc(N)c([N+](=O)[O-])c1']; ['O=Cc1cc(F)ccc1O']; [0.9996244311332703]
+Oc1ccc(F)cc1-c1c[nH]c2ccccc12; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OB(O)c1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Oc1ccc(F)cc1I']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Br', 'Ic1c[nH]c2ccccc12', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'c1ccc2[nH]ccc2c1', 'Clc1c[nH]c2ccccc12', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'c1ccc2[nH]ccc2c1']; [0.9999924898147583, 0.9999794363975525, 0.9998579025268555, 0.9997276663780212, 0.9991427659988403, 0.9989490509033203, 0.9988722801208496, 0.9987199306488037, 0.9938384294509888, 0.9897154569625854, 0.9842546582221985, 0.9721214771270752, 0.8154747486114502, 0.7793395519256592]
+CC(=O)Nc1cccc(-c2cc(F)ccc2O)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc([B-](F)(F)F)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1']; [0.9999737739562988, 0.9999730587005615, 0.999847948551178, 0.9996944665908813, 0.9994688034057617, 0.9987781643867493, 0.9985324144363403, 0.997190535068512, 0.9965858459472656, 0.9960293769836426, 0.9922360181808472, 0.9905444383621216, 0.9901635646820068, 0.9802964329719543, 0.9079616069793701]
+COc1cc(OC)c(-c2cc(F)ccc2O)cc1Cl; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(OC)c(Br)cc1Cl', 'COc1ccc(Cl)c(OC)c1', 'COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Br)cc1Cl', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Br)cc1Cl']; ['COc1cc(OC)c(Br)cc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1']; [0.9995617866516113, 0.9991780519485474, 0.9967141151428223, 0.9925264120101929, 0.9897921085357666, 0.9845290780067444, 0.9491960406303406, 0.9219058752059937, 0.9152877330780029, 0.7855632305145264]
+COc1cc(-c2cc(F)ccc2O)ccc1O; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(I)ccc1O', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O[Si](C)(C)C(C)(C)C', 'COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'C=CCOc1ccc(Br)cc1OC', 'COc1cc(I)ccc1O', 'COc1ccccc1O', 'COc1ccccc1O']; ['COc1cc(Br)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'COc1cc(I)ccc1O', 'OB(O)c1cc(F)ccc1O', 'COc1cc(Cl)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O', 'O=C(O)c1cc(O)ccc1F', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O']; [0.9999250173568726, 0.9998974800109863, 0.9995989799499512, 0.9995971918106079, 0.9995803236961365, 0.999566912651062, 0.999316394329071, 0.9989119172096252, 0.9988135099411011, 0.9987497329711914, 0.9986759424209595, 0.9978429079055786, 0.996166467666626, 0.9925854206085205, 0.9915237426757812, 0.991049587726593, 0.9819849729537964, 0.9796067476272583, 0.9793636202812195, 0.9671720266342163, 0.9625822901725769, 0.9346851110458374, 0.934016227722168, 0.9251083731651306, 0.9219552278518677, 0.9012831449508667, 0.8862173557281494, 0.7953653335571289]
+Oc1ccc(F)cc1-c1scc2c1OCCO2; ['Oc1ccc(F)cc1Br', 'CC1(C)OB(c2scc3c2OCCO3)OC1(C)C', 'Oc1ccc(F)cc1I', 'CC1(C)OB(c2scc3c2OCCO3)OC1(C)C', 'Oc1ccc(F)cc1']; ['c1scc2c1OCCO2', 'Oc1ccc(F)cc1Br', 'c1scc2c1OCCO2', 'Oc1ccc(F)cc1I', 'c1scc2c1OCCO2']; [0.9999956488609314, 0.999984622001648, 0.9999527931213379, 0.9999507665634155, 0.9992061257362366]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(F)ccc1O; [None]; [None]; [0]
-Oc1ccc(F)cc1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cc(F)ccc2O)cs1; ['NC(N)=S', 'CC(=O)c1cc(F)ccc1O', 'NC(N)=S', None]; ['O=C(CBr)c1cc(F)ccc1O', 'NC(N)=S', 'O=C(CCl)c1cc(F)ccc1O', None]; [0.9999814033508301, 0.9998176097869873, 0.9995713233947754, 0]
+Oc1ccc(F)cc1-c1cnc2ccccc2c1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Ic1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Br[Zn]c1cnc2ccccc2c1']; ['Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1I', 'Ic1cnc2ccccc2c1', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I']; [0.9999815225601196, 0.9999656677246094, 0.9998352527618408, 0.9984859228134155, 0.9980064630508423, 0.9974997043609619, 0.9966333508491516, 0.9944970011711121, 0.9929247498512268, 0.9908173680305481, 0.9805657863616943]
+CN(C)C(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)C(=O)c1ccc(Cl)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', None, 'CN(C)C(=O)c1ccc(I)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'CN(C)C(=O)c1ccc(Cl)cc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', None, 'Oc1ccc(F)cc1']; [0.9999991655349731, 0.9999974966049194, 0.9999620318412781, 0.9999548196792603, 0.9998592734336853, 0.9997982978820801, 0.9997483491897583, 0.9997073411941528, 0.9996182918548584, 0.9996010065078735, 0.9992725253105164, 0.9982503652572632, 0.9938897490501404, 0.9889998435974121, 0.9766620993614197, 0, 0.7571814060211182]
+CC(C)(C)c1ccc(-c2cc(F)ccc2O)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1']; [0.9999994039535522, 0.9999985694885254, 0.9999980926513672, 0.9998659491539001, 0.999846339225769, 0.9997127056121826, 0.9963134527206421, 0.8536326885223389]
+COc1cccc(C(=O)Nc2cc(F)ccc2O)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)Oc2ccccc2)c1', 'COc1cccc(C(=O)O)c1']; ['Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O']; [0.9962158203125, 0.9912967085838318, 0.983823299407959]
+Oc1ccc(F)cc1-c1ccn(-c2cccc(Cl)c2)n1; ['Clc1cccc(Br)c1', 'Clc1cccc(I)c1', 'Fc1cccc(Cl)c1', 'Clc1ccccc1']; ['Oc1ccc(F)cc1-c1cc[nH]n1', 'Oc1ccc(F)cc1-c1cc[nH]n1', 'Oc1ccc(F)cc1-c1cc[nH]n1', 'Oc1ccc(F)cc1-c1cc[nH]n1']; [0.9999971389770508, 0.999984622001648, 0.9998707175254822, 0.9963171482086182]
+Oc1ccc(F)cc1-c1cccc2c1OCO2; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Ic1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Ic1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'Oc1ccc(F)cc1Br', 'Ic1cccc2c1OCO2']; ['Oc1ccc(F)cc1Br', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Ic1cccc2c1OCO2', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1', 'c1ccc2c(c1)OCO2', 'Oc1ccc(F)cc1']; [0.9999707341194153, 0.9999704360961914, 0.9997797012329102, 0.9996864199638367, 0.9996753931045532, 0.9996275901794434, 0.9978946447372437, 0.9974604845046997, 0.9971942901611328, 0.994276762008667, 0.9937169551849365, 0.9335891604423523, 0.8547455072402954, 0.8243635892868042, 0.7999308109283447]
+CC1(COc2cc(F)ccc2O)COC1; ['CC1(CO)COC1', 'CC1(CO)COC1', 'CC1(CI)COC1', 'CC1(CBr)COC1', 'Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1', 'CC1(CO)COC1', 'CC1(CCl)COC1', 'CC1(CO)COC1', 'CC1(CO)COC1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1O', 'Oc1ccc(F)cc1O', 'Oc1ccc(F)cc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1O', 'Oc1ccc(F)cc1O', 'Oc1ccc(F)cc1F']; [0.9992280006408691, 0.9908051490783691, 0.989202618598938, 0.9833426475524902, 0.9789474606513977, 0.9781830310821533, 0.9661942720413208, 0.9492900371551514, 0.9319796562194824]
+CC(C)(C)c1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
+CSc1ccc(-c2cc(F)ccc2O)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CSc1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc([Mg]Br)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc([Mg]Br)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(Cl)cc1', 'CSc1ccc([Mg]Br)cc1', 'CSc1ccc([B-](F)(F)F)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'CSc1ccc(Br)cc1', 'CSc1ccc(Cl)cc1', 'Oc1ccc(F)cc1Br', 'CSc1ccc(I)cc1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I']; [0.9999939203262329, 0.9999485015869141, 0.9995737671852112, 0.9995429515838623, 0.9980891942977905, 0.9975842237472534, 0.9970342516899109, 0.9962559938430786, 0.9962527751922607, 0.9955195784568787, 0.9911608695983887, 0.9834302663803101, 0.9744600057601929, 0.9678431749343872, 0.9536399245262146, 0.9472967386245728, 0.9394081830978394, 0.938833475112915, 0.8246943950653076, 0.7749053835868835]
+Oc1ccc(F)cc1-c1cc2ccccc2s1; ['Brc1cc2ccccc2s1', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'OB(O)c1cc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'OB(O)c1cc2ccccc2s1', 'Oc1ccc(F)cc1Br', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1', 'Br[Mg]c1cc2ccccc2s1', 'Brc1cc2ccccc2s1', 'Oc1ccc(F)cc1']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'c1ccc2sccc2c1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'c1ccc2sccc2c1']; [0.9999808073043823, 0.9999462366104126, 0.9999327659606934, 0.9999179244041443, 0.999854326248169, 0.9996169805526733, 0.9996016025543213, 0.9995012283325195, 0.9982869625091553, 0.9959684610366821, 0.9820837378501892]
+CCN1CCN(Cc2ccc(-c3cc(F)ccc3O)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['Oc1ccc(F)cc1Br', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl']; [0.9993941783905029, 0.9988260865211487, 0.9981049299240112, 0.9962685108184814, 0.976298987865448, 0.9295738935470581]
+Cc1cc(-c2cc(F)ccc2O)nc(N)n1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Cc1cc(Br)nc(N)n1', 'Cc1cc(Cl)nc(N)n1', 'Cc1ccnc(N)n1']; ['Cc1cc(Br)nc(N)n1', 'Cc1cc(Cl)nc(N)n1', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O']; [0.9999834895133972, 0.9999570846557617, 0.9998266100883484, 0.9993941187858582, 0.9846459627151489]
+O=C1CCc2cc(-c3cc(F)ccc3O)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'O=C1CCc2cc(I)ccc2N1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'O=C1CCc2cc(Cl)ccc2N1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'O=C1CCc2cc(Br)ccc2N1', 'Oc1ccc(F)cc1Br', 'O=C1CCc2cc(I)ccc2N1', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'O=C1CCc2cc(Cl)ccc2N1', 'Oc1ccc(F)cc1Br']; [0.9997720718383789, 0.999252438545227, 0.9986954927444458, 0.9983562231063843, 0.9931981563568115, 0.9887720346450806, 0.9866442084312439, 0.9744225740432739, 0.9698374271392822, 0.9355601668357849, 0.9145457744598389, 0.8235278725624084, 0.7914369106292725]
+COc1ccc(CNc2cc(F)ccc2O)cc1; ['COc1ccc(CBr)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(C=O)cc1']; ['Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O']; [0.9995501637458801, 0.9988213777542114, 0.9947246313095093, 0.983974039554596]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(F)ccc2O)CC1; [None]; [None]; [0]
+Oc1ccc(F)cc1-c1ncc(Br)cn1; ['Clc1ncc(Br)cn1']; ['OB(O)c1cc(F)ccc1O']; [0.9975228309631348]
+COc1ccc(-c2cc(F)ccc2O)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc([B-](F)(F)F)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1cccc(C=O)c1OC', 'COc1ccccc1OC']; ['Oc1ccc(F)cc1Br', 'COc1ccc(Br)cc1OC', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'COc1ccc(I)cc1OC', 'COc1ccc(Cl)cc1OC', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'O=C(O)c1cc(O)ccc1F', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br']; [0.9999039173126221, 0.9998511672019958, 0.9997848868370056, 0.9997231364250183, 0.9997158646583557, 0.9995068311691284, 0.9990200996398926, 0.9990198612213135, 0.998367965221405, 0.9982460737228394, 0.9974650144577026, 0.9955101013183594, 0.9953836798667908, 0.9935958385467529, 0.9910235404968262, 0.989454984664917, 0.9806832075119019, 0.9798229932785034, 0.9780691266059875, 0.967724084854126, 0.9529815912246704, 0.9383344650268555, 0.9035285115242004, 0.8462001085281372, 0.8444420695304871, 0.8236879110336304, 0.7508231997489929]
 O=C(C1CC1)N1CC(Nc2cc(F)ccc2O)C1; [None]; [None]; [0]
-Nc1cc(-c2cc(F)ccc2O)c2cc[nH]c2n1; [None]; [None]; [0]
+CCc1ccc(-c2cc(F)ccc2O)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCc1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCc1ccc(I)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc([Mg]Br)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc([Mg]Br)cc1', 'CCc1ccc(Cl)cc1', 'CCc1ccc([Mg]Br)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc([Mg]Br)cc1', 'CCc1ccccc1', 'CCc1ccccc1', 'CCc1ccc(B(O)O)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CCc1ccc(Br)cc1', 'Oc1ccc(F)cc1Br', 'CCc1ccc(I)cc1', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1']; [0.999997615814209, 0.9999717473983765, 0.9998098015785217, 0.9997180700302124, 0.9987181425094604, 0.9986335039138794, 0.9982484579086304, 0.9981858730316162, 0.9980295896530151, 0.9976810216903687, 0.9919575452804565, 0.9867904782295227, 0.984649658203125, 0.9823645353317261, 0.9766738414764404, 0.9506397247314453, 0.9450922608375549, 0.9262352585792542, 0.8737736940383911, 0.8578223586082458]
+Oc1ccc(F)cc1-c1ccc(F)cc1Cl; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OB(O)c1ccc(F)cc1Cl', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc([Mg]Br)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'OB(O)c1ccc(F)cc1Cl', 'Fc1cccc(Cl)c1', 'Fc1ccc(Cl)c(Cl)c1', 'Fc1ccc([Mg]Br)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1']; ['Oc1ccc(F)cc1Br', 'Fc1ccc(Br)c(Cl)c1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(Cl)c(Cl)c1', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1', 'O=C(O)c1cc(O)ccc1F', 'Oc1ccc(F)cc1I']; [0.9999861121177673, 0.9999765157699585, 0.9999468922615051, 0.9996941089630127, 0.9996868371963501, 0.999669075012207, 0.9995309114456177, 0.9993870258331299, 0.9990453720092773, 0.9984503984451294, 0.9981275200843811, 0.9980854392051697, 0.9972167015075684, 0.9965211153030396, 0.9783782958984375, 0.9778735041618347, 0.9694949388504028, 0.9523175954818726, 0.9137780070304871, 0.8395751714706421, 0.7662860155105591, 0.7506552934646606]
+Oc1ccc(F)cc1-c1ncc2cccn2n1; ['Clc1ncc2cccn2n1']; ['OB(O)c1cc(F)ccc1O']; [0.9932622313499451]
+COc1cc(-c2cc(F)ccc2O)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'COc1cc(Br)ccc1N1CCOCC1', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl']; [0.9999603033065796, 0.9999290704727173, 0.9997254014015198, 0.9977438449859619, 0.9970570802688599, 0.9942935109138489, 0.9941250085830688, 0.9922160506248474, 0.905627965927124]
+Oc1ccc(F)cc1-c1cc2ccccn2n1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Brc1cc2ccccn2n1', 'Clc1cc2ccccn2n1']; ['Clc1cc2ccccn2n1', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O']; [0.999725341796875, 0.9989626407623291, 0.9988967180252075]
+Cn1cc(-c2cc(F)ccc2O)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; ['Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O']; [0.9999619126319885, 0.9999579787254333, 0.9999101161956787, 0.9994240999221802, 0.9991986751556396, 0.9986404180526733, 0.9980188608169556]
+Oc1ccc(F)cc1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cc(F)ccc3O)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cc(F)ccc3O)c2c1; [None]; [None]; [0]
+Cc1csc2c(-c3cc(F)ccc3O)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['OB(O)c1cc(F)ccc1O']; [0.9966635704040527]
+COc1cc(-c2cc(F)ccc2O)ccc1Cl; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'COc1cc(I)ccc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1F', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1', 'O=C(O)c1cc(O)ccc1F', 'Oc1ccc(F)cc1Cl', 'O=Cc1cc(O)ccc1F']; [0.9999912977218628, 0.999991238117218, 0.9999799728393555, 0.9999455213546753, 0.9999394416809082, 0.9998996257781982, 0.9998626112937927, 0.9998267889022827, 0.9997351169586182, 0.9995793700218201, 0.9981211423873901, 0.9970250129699707, 0.9949429631233215, 0.9915100336074829, 0.9870564937591553, 0.9733484983444214, 0.9205623865127563, 0.9057600498199463, 0.8548499345779419, 0.8504803776741028, 0.7662301659584045]
+Oc1ccc(F)cc1-c1ncc(Cl)cn1; ['Clc1cnc(Cl)nc1']; ['OB(O)c1cc(F)ccc1O']; [0.9976264238357544]
+Oc1ccc2cccc(-c3cc(F)ccc3O)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cc(F)ccc2O)cc1OC; [None]; [None]; [0]
+OCCn1cc(-c2cc(F)ccc2O)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'OCCn1cc(B(O)O)cn1', 'OB(O)c1cc(F)ccc1O']; ['Oc1ccc(F)cc1Br', 'OCCn1cc(Br)cn1', 'Oc1ccc(F)cc1I', 'OCCn1cc(I)cn1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OCCn1cc(I)cn1', 'OCCn1cc(Br)cn1', 'Oc1ccc(F)cc1Cl', 'OCCn1cc(Cl)cn1']; [0.9999905824661255, 0.9999866485595703, 0.9999803304672241, 0.9999625086784363, 0.9998748302459717, 0.999791145324707, 0.9934812784194946, 0.9919278025627136, 0.9760128855705261, 0.9704807996749878, 0.9605273008346558]
+Cc1nc(Nc2cc(F)ccc2O)sc1C; ['Cc1nc(N)sc1C', 'Cc1nc(Cl)sc1C', 'Cc1nc(Br)sc1C']; ['Oc1ccc(F)cc1Br', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O']; [0.999472975730896, 0.995658278465271, 0.9918557405471802]
+Cc1cc(Nc2cc(F)ccc2O)nn1C; ['Cc1cc(Cl)nn1C']; ['Nc1cc(F)ccc1O']; [0.992458701133728]
+CCNC(=O)c1ccc(-c2cc(F)ccc2O)nc1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCNC(=O)c1ccc(Br)nc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCNC(=O)c1ccc(Cl)nc1']; ['CCNC(=O)c1ccc(Br)nc1', 'OB(O)c1cc(F)ccc1O', 'CCNC(=O)c1ccc(Cl)nc1', 'OB(O)c1cc(F)ccc1O']; [0.9999811053276062, 0.9998630285263062, 0.9995981454849243, 0.9992692470550537]
+O=C(Nc1cc(F)ccc1O)c1ccco1; ['Nc1cc(F)ccc1O', 'NC(=O)c1ccco1']; ['O=C(Cl)c1ccco1', 'Oc1ccc(F)cc1I']; [0.9781826734542847, 0.8916450142860413]
+CNC(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Cl)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(I)cc1', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O']; [0.9999960064888, 0.9999620914459229, 0.9998307824134827, 0.99961256980896, 0.9993740320205688, 0.9986166954040527, 0.9962257146835327, 0.9810792803764343, 0.9565089344978333, 0.9195801615715027]
+Nc1cc(-c2cc(F)ccc2O)c2cc[nH]c2n1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Cl)c2cc[nH]c2n1']; ['Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Cl)c2cc[nH]c2n1', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O']; [0.9999949932098389, 0.9999120235443115, 0.9993928670883179, 0.9923526048660278]
+NC(=O)c1ccc(Cc2cc(F)ccc2O)cc1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'NC(=O)c1ccc(CO)cc1', 'NC(=O)c1ccc(CCl)cc1']; ['NC(=O)c1ccc(CCl)cc1', 'NC(=O)c1ccc(CBr)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9997353553771973, 0.9970759153366089, 0.9650174379348755, 0.8935021162033081]
+COc1cc(-c2cc(F)ccc2O)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc(F)ccc1O; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(F)ccc2O)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1cccc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1ccc(C(=O)O)c(OC)c1', 'COc1cc(I)cc(OC)c1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'COc1cc(Br)cc(OC)c1', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I']; [0.9999729990959167, 0.9999514818191528, 0.9998849630355835, 0.9998040199279785, 0.9997363686561584, 0.9996814727783203, 0.9994825124740601, 0.9993767738342285, 0.9990732669830322, 0.9990552067756653, 0.9989693760871887, 0.9986312985420227, 0.9984044432640076, 0.997861385345459, 0.9950339794158936, 0.9939014911651611, 0.9899368286132812, 0.9726269245147705, 0.9358737468719482, 0.8699262142181396, 0.8267648220062256, 0.806452751159668, 0.7598413228988647]
+O=S(=O)(CCO)c1ccc(Cc2cc(F)ccc2O)cc1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cc(F)ccc1O)cn2C; ['COc1ccc2c(ccn2C)c1']; ['Oc1ccc(F)cc1I']; [0.9325879812240601]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cc(F)ccc2O)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cc(F)ccc1O)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cc(F)ccc2O)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cc(F)ccc3O)[nH]c2c1; [None]; [None]; [0]
+COc1ccc2oc(-c3cc(F)ccc3O)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2occc2c1', 'COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2occc2c1']; ['Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I']; [0.9995468854904175, 0.9988241791725159, 0.9890784025192261, 0.9762991070747375, 0.956028163433075]
+CC(C)(C)c1ccc(C(=O)Nc2cc(F)ccc2O)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1']; ['Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O']; [0.9998561143875122, 0.9996345043182373]
+CCNC(=O)N1CCC(c2cc(F)ccc2O)CC1; [None]; [None]; [0]
+Oc1ccc(F)cc1-c1ccc2cn[nH]c2c1; ['Brc1ccc2cn[nH]c2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Ic1ccc2cn[nH]c2c1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Clc1ccc2cn[nH]c2c1', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O']; [0.9997692108154297, 0.9997653961181641, 0.9993595480918884, 0.9988381862640381, 0.9988217949867249, 0.998047947883606, 0.9977062940597534, 0.9970724582672119, 0.9955493211746216, 0.9905426502227783, 0.9416162967681885, 0.936238169670105, 0.8682475090026855]
+CO[C@@H]1CC[C@@H](c2cc(F)ccc2O)CC1; [None]; [None]; [0]
+CCn1cc(-c2cc(F)ccc2O)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Cl)cn1']; ['Oc1ccc(F)cc1Br', 'CCn1cc(Br)cn1', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O']; [0.9999825954437256, 0.9999779462814331, 0.9999707937240601, 0.9995014667510986, 0.9991844892501831, 0.9828747510910034, 0.9592952728271484, 0.9498858451843262, 0.866814374923706]
+CNC(=O)c1ccc(OC)c(-c2cc(F)ccc2O)c1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['CNC(=O)c1ccc(OC)c(Br)c1', 'OB(O)c1cc(F)ccc1O']; [0.9999547600746155, 0.9966323971748352]
+Oc1ccc(F)cc1-c1cc2ccccc2o1; ['Brc1cc2ccccc2o1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1', 'Ic1cc2ccccc2o1', 'Oc1ccc(F)cc1Br', 'Brc1cc2ccccc2o1', 'Clc1cc2ccccc2o1', 'Oc1ccc(F)cc1I', 'OB(O)c1cc2ccccc2o1', 'Nc1cc(F)ccc1O']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'c1ccc2occc2c1', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'c1ccc2occc2c1', 'Oc1ccc(F)cc1Cl', 'c1ccc2occc2c1']; [0.9999748468399048, 0.9998730421066284, 0.9996863603591919, 0.9995988607406616, 0.9991240501403809, 0.9985598921775818, 0.9982022643089294, 0.9977251291275024, 0.9944148063659668, 0.9872695803642273, 0.966474711894989, 0.8741564154624939]
+C[NH+](C)Cc1ccc(-c2cc(F)ccc2O)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cc(F)ccc1O; ['CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1I']; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O']; [0.9999592304229736, 0.9998843669891357, 0.9997910261154175, 0.9969640970230103, 0.9883627891540527]
+COc1ccc2nc(-c3cc(F)ccc3O)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1', 'COc1ccc(N)c([N+](=O)[O-])c1']; ['O=Cc1cc(F)ccc1O', 'OCc1cc(F)ccc1O', 'O=C(O)c1cc(F)ccc1O', 'O=Cc1cc(F)ccc1O']; [0.9992502927780151, 0.9984256029129028, 0.9975384473800659, 0.9758163094520569]
+Oc1ccc(F)cc1-c1ncc2sccc2n1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Clc1ncc2sccc2n1']; ['Clc1ncc2sccc2n1', 'OB(O)c1cc(F)ccc1O']; [0.9999880790710449, 0.9978818893432617]
+COc1ccc(F)c(C(=O)Nc2cc(F)ccc2O)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['Nc1cc(F)ccc1O']; [0.9692434668540955]
+Oc1ccc(F)cc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(F)ccc2O)c1)N1CCCC1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cc(F)ccc1O; [None]; [None]; [0]
+Cn1cc(-c2cc(F)ccc2O)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I']; [0.9999572038650513, 0.962370753288269]
 Oc1ccc(F)cc1-c1ncn2c1CCCC2; [None]; [None]; [0]
+CCc1cccc(-c2cc(F)ccc2O)n1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCc1cccc(Br)n1', 'CCc1cccc(Br)n1']; ['CCc1cccc(Br)n1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br']; [0.9999678134918213, 0.995542049407959, 0.9941654801368713]
+Oc1ccc(F)cc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(F)ccc3O)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Cl)ccc21']; ['Oc1ccc(F)cc1Br', 'Cn1ncc2cc(Br)ccc21', 'Oc1ccc(F)cc1I', 'Cn1ncc2cc(I)ccc21', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O']; [0.9999958276748657, 0.999993622303009, 0.9999833106994629, 0.9999774694442749, 0.9999752640724182, 0.999962329864502, 0.999925971031189, 0.9998738169670105, 0.9966771602630615, 0.9843511581420898]
+CN(C)c1ccc(-c2cc(F)ccc2O)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)c1ccc(B(O)O)cn1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc([Zn]Br)cn1', 'CN(C)c1ccc(Cl)cn1', 'CN(C)c1ccc(Br)cn1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CN(C)c1ccc(Br)cn1', 'Oc1ccc(F)cc1I', 'CN(C)c1ccc(I)cn1', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br']; [0.9999951720237732, 0.9999832510948181, 0.9999779462814331, 0.9999417066574097, 0.9999387264251709, 0.9999276399612427, 0.9995748996734619, 0.998970091342926, 0.9986275434494019, 0.9934931397438049, 0.9795910716056824]
 Cn1nc(Cl)c2cc(-c3cc(F)ccc3O)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cc(F)ccc3O)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1cc(F)ccc1O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cc(F)ccc3O)cc2)n1C; [None]; [None]; [0]
+Cc1cc(-c2cc(F)ccc2O)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cc(F)ccc3O)ccc12; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12']; ['Cc1n[nH]c2cc(Br)ccc12', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Br', 'Cc1n[nH]c2cc(I)ccc12', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1Cl']; [0.9999744892120361, 0.9999680519104004, 0.9999024868011475, 0.999840497970581, 0.9998201131820679, 0.9997449517250061, 0.9991070032119751, 0.9984405040740967, 0.9981173872947693, 0.9921008348464966, 0.9893820285797119, 0.9795508980751038, 0.9555047750473022]
+CC(=O)N1CCC(n2cc(-c3cc(F)ccc3O)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br']; [0.9999958276748657, 0.9999693632125854]
+O=C(Nc1cc(F)ccc1O)c1cccc(OC(F)(F)F)c1; ['Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1']; [0.9999110698699951, 0.999305248260498]
+CC(C)(O)c1ccc2cc(-c3cc(F)ccc3O)[nH]c2c1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cc(F)ccc2O)c1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Cl)c1']; ['O=C1CCCN1c1cccc(Br)c1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O', 'O=C1CCCN1c1cccc(Cl)c1', 'Oc1ccc(F)cc1Cl', 'OB(O)c1cc(F)ccc1O']; [0.9999370574951172, 0.9999271631240845, 0.9998383522033691, 0.9982591867446899, 0.9976665377616882, 0.992774486541748, 0.8474013805389404]
+CN(C)C(=O)c1ccc(-c2cc(F)ccc2O)c(Cl)c1; ['CN(C)C(=O)c1cccc(Cl)c1']; ['Oc1ccc(F)cc1Br']; [0.9373503923416138]
+CNC(=O)c1ccc(-c2cc(F)ccc2O)c(OC)c1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['CNC(=O)c1ccc(Br)c(OC)c1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OB(O)c1cc(F)ccc1O']; [0.9999477863311768, 0.9999309778213501, 0.9996888637542725, 0.9640630483627319]
+COc1cc(S(C)(=O)=O)ccc1-c1cc(F)ccc1O; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['COc1cc(S(C)(=O)=O)ccc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1']; [0.9999966621398926, 0.9998551607131958, 0.9785549640655518]
+OCCc1ccc(-c2cc(F)ccc2O)cc1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OB(O)c1cc(F)ccc1O', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'OB(O)c1cc(F)ccc1O', 'OCCc1ccc(I)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(Br)cc1']; ['Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OCCc1ccc(Br)cc1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(I)cc1', 'Oc1ccc(F)cc1Cl', 'OCCc1ccc(I)cc1', 'Oc1ccc(F)cc1Br', 'OCCc1ccc(Cl)cc1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I']; [0.9999604225158691, 0.999411404132843, 0.9992777109146118, 0.9990686178207397, 0.9925452470779419, 0.9921743869781494, 0.9917625188827515, 0.988003134727478, 0.9857836961746216, 0.9846783876419067, 0.9667352437973022, 0.9467160105705261, 0.9102538824081421]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc(F)ccc1O; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cc(F)ccc1O; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cc(F)ccc1O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(F)ccc2O)cc1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['CCNC(=O)c1ccc(Br)cc1', 'Oc1ccc(F)cc1Br', 'Oc1ccc(F)cc1I', 'CCNC(=O)c1ccc(I)cc1', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl']; [0.9998483657836914, 0.9996243715286255, 0.9993932247161865, 0.9992405772209167, 0.9964160323143005, 0.9859020113945007, 0.9225853681564331]
+Cc1ncc(-c2ccc(-c3cc(F)ccc3O)cc2)n1C; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(F)ccc2O)nc1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)C(=O)c1ccc(Cl)nc1', 'CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CN(C)C(=O)c1ccc(Br)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['CN(C)C(=O)c1ccc(Br)nc1', 'OB(O)c1cc(F)ccc1O', 'CN(C)C(=O)c1ccc(Cl)nc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br']; [0.9999886751174927, 0.9999634027481079, 0.9999522566795349, 0.999942421913147, 0.9984515309333801]
+Oc1ccc(F)cc1Nc1ccccn1; ['Nc1ccccn1', 'Clc1ccccn1', 'Nc1ccccn1', 'Brc1ccccn1', 'Ic1ccccn1', 'Nc1ccccn1', 'Nc1ccccn1', 'Nc1ccccn1', 'Fc1ccccn1']; ['Oc1ccc(F)cc1Br', 'Nc1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1F', 'Nc1cc(F)ccc1O']; [0.9985947608947754, 0.9968941807746887, 0.9925719499588013, 0.9894135594367981, 0.9841340780258179, 0.9748180508613586, 0.9692704081535339, 0.9628266096115112, 0.9457954168319702]
+Cc1cc(Nc2cc(F)ccc2O)ncc1F; ['Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(Br)ncc1F', 'Cc1cc(Cl)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F']; ['Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1F']; [0.9998242259025574, 0.9994814395904541, 0.997164785861969, 0.9960509538650513, 0.9943014979362488, 0.9878677725791931, 0.9594645500183105]
+Oc1ccc(F)cc1Nc1ccc(F)cn1; ['Fc1ccc(Br)nc1', 'Fc1ccc(I)nc1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Fc1ccc(Cl)nc1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Fc1ccc(F)nc1']; ['Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1Br', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Nc1cc(F)ccc1O', 'Oc1ccc(F)cc1Cl', 'Oc1ccc(F)cc1F', 'Nc1cc(F)ccc1O']; [0.9990042448043823, 0.998845100402832, 0.9985131025314331, 0.9983292818069458, 0.9923875331878662, 0.9892943501472473, 0.9853858947753906, 0.9794265627861023, 0.9606199264526367]
+CCNC(=O)Cc1ccc(-c2cc(F)ccc2O)cc1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CCNC(=O)Cc1ccc(Br)cc1', 'CCNC(=O)Cc1ccc(Br)cc1', 'CCNC(=O)Cc1ccc(Br)cc1']; ['CCNC(=O)Cc1ccc(Br)cc1', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1I', 'Oc1ccc(F)cc1Br']; [0.9999035596847534, 0.9935396909713745, 0.9841387271881104, 0.9531750679016113]
+Cc1cc(N2CCOCC2)ccc1-c1cc(F)ccc1O; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cc(F)ccc2O)c1; ['CC1(C)OB(c2cc(F)ccc2O)OC1(C)C', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Cl)c1', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'OB(O)c1cc(F)ccc1O', 'OB(O)c1cc(F)ccc1O', 'Oc1ccc(F)cc1Br']; [0.999997615814209, 0.9995794296264648, 0.9935525059700012, 0.9819890260696411]
 Cn1nc(-c2cc(F)ccc2O)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2cc(F)ccc2O)ncc1F; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2ccc3nccnc3c2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2nccnc2c1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccccc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(O)cc1', 'CC(=O)N(C)c1ccccc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2nccnc2c1', 'CC(=O)N(C)c1ccccc1', 'Brc1ccc2nccnc2c1']; ['Ic1ccc2nccnc2c1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'c1ccc2nccnc2c1', 'CC(=O)N(C)c1ccc(Br)cc1', 'Ic1ccc2nccnc2c1', 'CC(=O)N(C)c1ccccc1']; [0.9999979734420776, 0.9999967813491821, 0.9999650120735168, 0.9999186992645264, 0.9998575448989868, 0.9995020627975464, 0.9992837905883789, 0.9986057877540588, 0.9941966533660889, 0.9883029460906982, 0.9644405841827393, 0.9431997537612915, 0.8961431980133057]
+c1ccc2nc(-c3ccc4nccnc4c3)ncc2c1; ['Brc1ncc2ccccc2n1', 'Brc1ncc2ccccc2n1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1ncc2ccccc2n1', 'Nc1ccccc1CO', 'BrCc1ccccc1Br', 'NCc1ccccc1N', 'NCc1ccccc1N']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Clc1ncc2ccccc2n1', 'OB(O)c1ccc2nccnc2c1', 'O=Cc1ccc2nccnc2c1', 'O=Cc1ccc2nccnc2c1', 'O=Cc1ccc2nccnc2c1', 'OCc1ccc2nccnc2c1']; [0.9999806880950928, 0.9999780654907227, 0.9999740123748779, 0.999973475933075, 0.9971770644187927, 0.9961187243461609, 0.9941387176513672, 0.9918099641799927]
+CNC(=O)c1ccc(C)c(-c2cc(F)ccc2O)c1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2ccc3nccnc3c2)c1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'Brc1ccc2nccnc2c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Brc1ccc2nccnc2c1', 'CS(=O)(=O)c1ccccc1', 'Brc1ccc2nccnc2c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['CS(=O)(=O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CS(=O)(=O)c1cccc(Br)c1', 'OB(O)c1ccc2nccnc2c1', 'CS(=O)(=O)c1ccccc1', 'c1ccc2nccnc2c1', 'c1ccc2nccnc2c1']; [0.9999984502792358, 0.9999979734420776, 0.9999960064888, 0.9999922513961792, 0.9999814033508301, 0.9999772906303406, 0.999963104724884, 0.9999262690544128, 0.9998631477355957, 0.9998246431350708, 0.996009349822998, 0.9923909306526184, 0.8519474267959595, 0.8236780166625977, 0.7600367665290833]
+CCOc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
+COc1ncccc1-c1ccc2nccnc2c1; ['Brc1ccc2nccnc2c1', 'COc1ncccc1I', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Cl', 'COc1ncccc1Br', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'COc1ncccc1B(O)O', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2nccnc2c1', 'COc1ncccc1B(O)O', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'COc1ccccn1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1ccc2nccnc2c1', 'COc1ncccc1I', 'COc1ncccc1Br', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'Clc1ccc2nccnc2c1', 'COc1ncccc1Cl', 'COc1ncccc1Br', 'OB(O)c1ccc2nccnc2c1']; [0.9999891519546509, 0.9999860525131226, 0.9999828934669495, 0.9999755620956421, 0.999930739402771, 0.9999212026596069, 0.999813973903656, 0.9997833967208862, 0.9997674226760864, 0.9997441172599792, 0.9995603561401367, 0.998213529586792, 0.9981365203857422, 0.9874793291091919, 0.9731184244155884, 0.8444889187812805]
 Cc1nc(C(C)(C)O)sc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc4nccnc4c3)cc2)CC1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc(F)ccc1O; [None]; [None]; [0]
+COc1cc(-c2ccc3nccnc3c2)cc(OC)c1OC; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1cc(I)cc(OC)c1OC', 'Brc1ccc2nccnc2c1', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cccc(OC)c1OC', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'COc1cc([Mg]Br)cc(OC)c1OC', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'COc1cc([Mg]Br)cc(OC)c1OC', 'Brc1ccc2nccnc2c1']; ['COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'OB(O)c1ccc2nccnc2c1', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Clc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Ic1ccc2nccnc2c1', 'COc1cc([Mg]Br)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'Clc1ccc2nccnc2c1', 'COc1cccc(OC)c1OC']; [0.999983012676239, 0.9999791979789734, 0.9999784231185913, 0.9999469518661499, 0.9999160766601562, 0.9998688697814941, 0.9998505711555481, 0.9998407363891602, 0.9997891187667847, 0.9996058940887451, 0.9992395043373108, 0.998965859413147, 0.9970179200172424, 0.9903903007507324, 0.9889825582504272, 0.9836592674255371, 0.9646428227424622, 0.9575915336608887, 0.927476167678833, 0.8102086782455444]
+c1cnn2c(-c3ccc4nccnc4c3)cnc2c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1']; ['OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9999994039535522, 0.9999994039535522, 0.9998077154159546]
+Cc1ccc2ncn(-c3ccc4nccnc4c3)c2c1; ['Brc1ccc2nccnc2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2[nH]cnc2c1', 'Brc1ccc2nccnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1']; ['Cc1ccc2[nH]cnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Fc1ccc2nccnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Fc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1']; [0.9996345043182373, 0.9990777373313904, 0.9986402988433838, 0.9983598589897156, 0.9972505569458008, 0.9950820207595825, 0.9608299136161804, 0.9431030750274658, 0.8059910535812378]
+O=C(Nc1cccc(-c2ccc3nccnc3c2)c1)C1CC1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'O=C(Nc1cccc(Br)c1)C1CC1', 'Brc1ccc2nccnc2c1']; ['O=C(Nc1cccc(Br)c1)C1CC1', 'OB(O)c1ccc2nccnc2c1', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.9999961853027344, 0.999987006187439, 0.9955706596374512]
+c1ccc2[nH]c(-c3ccc4nccnc4c3)nc2c1; ['Nc1ccccc1N', 'N#Cc1ccc2nccnc2c1', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Nc1ccccc1N', 'NCc1ccc2nccnc2c1', 'BrCc1ccc2nccnc2c1', 'Nc1ccccc1N']; ['O=C(Cl)c1ccc2nccnc2c1', 'Nc1ccccc1N', 'O=Cc1ccc2nccnc2c1', 'O=Cc1ccc2nccnc2c1', 'O=C(O)c1ccc2nccnc2c1', 'Nc1ccccc1N', 'Nc1ccccc1N', 'OCc1ccc2nccnc2c1']; [0.9969886541366577, 0.9969044923782349, 0.995684027671814, 0.9863561391830444, 0.9862475395202637, 0.9807108044624329, 0.9744285941123962, 0.9568865895271301]
+Cc1cc(Nc2ccc3nccnc3c2)sn1; ['Brc1ccc2nccnc2c1', 'Cc1cc(N)sn1', 'Cc1cc(N)sn1', 'Cc1cc(N)sn1', 'Cc1cc(N)sn1', 'Cc1cc(N)sn1']; ['Cc1cc(N)sn1', 'Nc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Oc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Fc1ccc2nccnc2c1']; [0.9997938275337219, 0.9996998310089111, 0.9994913935661316, 0.9984517097473145, 0.9976015090942383, 0.9903571605682373]
+Oc1cccc(-c2ccc3nccnc3c2)c1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Clc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['Oc1cccc(I)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Cl)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Oc1cccc(Cl)c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1cccc(O)c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(Cl)c1', 'Oc1cccc(Br)c1']; [0.9999690055847168, 0.9999489784240723, 0.999930739402771, 0.9998949766159058, 0.9995607137680054, 0.9995262622833252, 0.9995203018188477, 0.9995056986808777, 0.9990523457527161, 0.9988997578620911, 0.9979479312896729, 0.994873046875, 0.9753791689872742, 0.9129692316055298, 0.7828384637832642]
+N#Cc1ccc(O)c(-c2ccc3nccnc3c2)c1; ['N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'N#Cc1ccc(O)c(Cl)c1', 'Ic1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Br[Mg]c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'OB(O)c1ccc2nccnc2c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(Br)c1']; [0.9999987483024597, 0.999981164932251, 0.9999651312828064, 0.9999078512191772, 0.9998948574066162, 0.9997618198394775, 0.9995472431182861, 0.9995201230049133, 0.9990983009338379, 0.9990489482879639, 0.9964221119880676, 0.9828051328659058, 0.9665045142173767, 0.9204316139221191]
+O=C([O-])c1ccc(-c2ccc3nccnc3c2)cc1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'O=C([O-])c1ccc(Cl)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C']; ['O=C([O-])c1ccc(Cl)cc1', 'OB(O)c1ccc2nccnc2c1', 'O=C([O-])c1ccccc1']; [0.9966671466827393, 0.9848192930221558, 0.8533711433410645]
+c1cnc2cc(-c3ccc(N4CCOCC4)cc3)ccc2n1; ['Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1ccc(N2CCOCC2)cc1', 'Clc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'Br[Mg]c1ccc(N2CCOCC2)cc1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Ic1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Ic1ccc2nccnc2c1', 'c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc2nccnc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'c1ccc(N2CCOCC2)cc1', 'c1ccc2nccnc2c1', 'c1ccc(N2CCOCC2)cc1', 'c1ccc(N2CCOCC2)cc1', 'c1ccc2nccnc2c1', 'c1ccc(N2CCOCC2)cc1']; [0.9999996423721313, 0.9999995231628418, 0.9999971389770508, 0.9999970197677612, 0.9999966621398926, 0.999996542930603, 0.9999942779541016, 0.9999929666519165, 0.9999924898147583, 0.9999851584434509, 0.9999850988388062, 0.9999828338623047, 0.9999711513519287, 0.9999265670776367, 0.9998533725738525, 0.9997875690460205, 0.9997594356536865, 0.99954754114151, 0.999522864818573, 0.9995074272155762, 0.999372124671936, 0.9992105960845947, 0.9969505071640015, 0.9840383529663086, 0.9674882888793945, 0.9453223347663879, 0.8610020875930786]
+COc1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(I)cc1', 'Brc1ccc2nccnc2c1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'COc1ccc(Br)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(F)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'Brc1ccc2nccnc2c1', 'COc1ccccc1', 'Brc1ccc2nccnc2c1', 'COc1ccc([Mg]Br)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'COc1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'COc1ccc([Mg]Br)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2nccnc2c1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'Clc1ccc2nccnc2c1', 'COc1ccc(Cl)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'COc1ccc(B(O)O)cc1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc(I)cc1', 'Fc1ccc2nccnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'Ic1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Fc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'COc1ccc([Mg]Br)cc1', 'OB(O)c1ccc2nccnc2c1', 'COc1ccc(Cl)cc1', 'Clc1ccc2nccnc2c1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'OCc1ccc2nccnc2c1', 'COc1ccc(Br)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc2nccnc2c1', 'COc1ccc(OC)cc1', 'COc1ccccc1']; [0.9999973177909851, 0.9999945163726807, 0.999988317489624, 0.9999833703041077, 0.9999817609786987, 0.9999597072601318, 0.999942421913147, 0.9999419450759888, 0.999895453453064, 0.9998583793640137, 0.9998186826705933, 0.9997673034667969, 0.9997429847717285, 0.9996795654296875, 0.9996629953384399, 0.9996254444122314, 0.9994752407073975, 0.9983245134353638, 0.9980980753898621, 0.9980205297470093, 0.997371256351471, 0.9969310760498047, 0.9962565898895264, 0.9958900213241577, 0.9958603382110596, 0.9946393966674805, 0.9940476417541504, 0.9937621355056763, 0.9937088489532471, 0.9929505586624146, 0.9890600442886353, 0.9850115776062012, 0.9687418937683105, 0.9666765928268433, 0.9609168767929077, 0.9300251007080078, 0.9143062829971313, 0.8774967193603516, 0.7511223554611206]
+c1cnc(Nc2ccc3nccnc3c2)nc1; ['Nc1ncccn1', 'Brc1ncccn1', 'Ic1ncccn1', 'Clc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CSc1ncccn1', 'CS(=O)c1ncccn1', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1']; ['OB(O)c1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9999002814292908, 0.9994727373123169, 0.9990867376327515, 0.9990856051445007, 0.9945864081382751, 0.9924322366714478, 0.9906340837478638, 0.9894338846206665, 0.9775338172912598, 0.9117214679718018]
+NC(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(I)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(Br)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'NC(=O)c1ccc(Cl)cc1', 'Clc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'NC(=O)c1ccc(Cl)cc1', 'OB(O)c1ccc2nccnc2c1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.9999986886978149, 0.9999970197677612, 0.999994695186615, 0.9999898672103882, 0.9999834299087524, 0.999983012676239, 0.9999788999557495, 0.9999672174453735, 0.9999603033065796, 0.9998698234558105, 0.999722957611084, 0.9993528127670288, 0.9763511419296265]
+c1ccc2c(-c3ccc4nccnc4c3)nccc2c1; ['Ic1nccc2ccccc12', 'Brc1nccc2ccccc12', 'Brc1nccc2ccccc12', 'Clc1nccc2ccccc12', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1']; ['OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Clc1nccc2ccccc12', 'OB(O)c1nccc2ccccc12', 'c1ccc2cnccc2c1', 'Clc1nccc2ccccc12', 'c1ccc2cnccc2c1']; [0.9999969005584717, 0.999985933303833, 0.9999796748161316, 0.9998878240585327, 0.9998202323913574, 0.998046338558197, 0.9932221174240112, 0.9912946224212646, 0.7819228172302246]
 N#Cc1cccc(Cn2cc(-c3ccc4nccnc4c3)cn2)c1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3ccc4nccnc4c3)cc2C1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc3nccnc3c2)cc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1', 'Clc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['Ic1ccc2nccnc2c1', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2nccnc2c1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1', 'OB(O)c1ccc2nccnc2c1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9999995231628418, 0.9999992251396179, 0.9999977946281433, 0.9999968409538269, 0.9999966621398926, 0.9999929666519165, 0.9999587535858154, 0.9999518394470215, 0.9998435974121094, 0.995364785194397]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc4nccnc4c3)cc2)CC1; [None]; [None]; [0]
+c1cc(-c2ccc3nccnc3c2)cc(C2CCNCC2)c1; ['CC(C)(C)OC(=O)N1CCC(c2cccc(Br)c2)CC1', 'Brc1cccc(C2CCNCC2)c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1cccc(C2CCNCC2)c1', 'Clc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1', 'Brc1ccc2nccnc2c1']; ['OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1cccc(C2CCNCC2)c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Brc1cccc(C2CCNCC2)c1']; [0.9999992847442627, 0.9999935626983643, 0.9999748468399048, 0.9999211430549622, 0.999832034111023, 0.9815147519111633, 0.927958607673645]
+OCCOc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
+c1cc(Nc2ccc3nccnc3c2)ncn1; ['Clc1ccncn1', 'Nc1ccncn1', 'Brc1ccncn1', 'Nc1ccc2nccnc2c1', 'Ic1ccncn1', 'Fc1ccncn1', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Fc1ccc2nccnc2c1']; ['Nc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'O=c1ccnc[nH]1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1']; [0.9999891519546509, 0.9999721050262451, 0.9999191761016846, 0.999850869178772, 0.9998314380645752, 0.9996076822280884, 0.999458909034729, 0.998752236366272, 0.9950525760650635, 0.9667484760284424, 0.9663317203521729]
+CC(=O)NCc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2ccc3nccnc3c2)nc1)N1CCOCC1; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C']; ['OB(O)c1ccc2nccnc2c1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; [1.0, 0.9999998211860657]
+O=C(c1ccc(-c2ccc3nccnc3c2)cc1)N1CCOCC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2nccnc2c1']; ['Ic1ccc2nccnc2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Ic1ccc2nccnc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.9999814033508301, 0.9999687671661377, 0.9999234676361084, 0.9998911619186401, 0.9998841285705566, 0.9998323917388916, 0.9993776082992554, 0.9993396997451782, 0.9821285009384155, 0.8052841424942017]
+C[C@H](O)COc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2ccc3nccnc3c2)cc1; ['Br[Mg]c1ccc2nccnc2c1']; ['C[C@@H](O)COc1ccc(F)cc1']; [0.8610644340515137]
+O=S1(=O)Cc2ccc(-c3ccc4nccnc4c3)cc2C1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Ic1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'OB(O)c1ccc2nccnc2c1', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999779462814331, 0.9998992681503296, 0.9983448386192322, 0.9945411682128906, 0.9765585660934448]
+Cc1nc(C)c(-c2ccc3nccnc3c2)s1; ['Brc1ccc2nccnc2c1', 'Cc1nc(C)c(Br)s1', 'Brc1ccc2nccnc2c1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'OB(O)c1ccc2nccnc2c1', 'Cc1csc(C)n1', 'Ic1ccc2nccnc2c1']; [0.9999978542327881, 0.9999957084655762, 0.9985263347625732, 0.9956648349761963]
+CCNS(=O)(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1']; [0.9999864101409912, 0.9999234676361084, 0.9998999834060669, 0.9998142719268799, 0.9988549947738647, 0.9986343383789062]
+CN(C)S(=O)(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'Brc1ccc2nccnc2c1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CN(C)S(=O)(=O)c1ccccc1', 'Br[Mg]c1ccc2nccnc2c1', 'CN(C)S(=O)(=O)c1ccccc1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2nccnc2c1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'Ic1ccc2nccnc2c1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccccc1', 'Ic1ccc2nccnc2c1', 'CN(C)S(=O)(=O)c1ccc(F)cc1', 'Clc1ccc2nccnc2c1']; [0.9999995231628418, 0.9999986290931702, 0.9999982118606567, 0.9999973773956299, 0.9999911785125732, 0.9999910593032837, 0.9999843239784241, 0.9999793767929077, 0.9999776482582092, 0.9999327659606934, 0.9999014735221863, 0.9998282790184021, 0.9981518983840942, 0.9943573474884033, 0.9825974106788635, 0.9178109169006348, 0.9026002883911133, 0.885150134563446, 0.759880542755127]
+FC(F)(F)c1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
+CC(C)c1cc(-c2ccc3nccnc3c2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1cc(Cl)nc(N)n1']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1']; [0.9999973773956299, 0.9999863505363464]
+CS(=O)(=O)N1CCC(c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2ccc3nccnc3c2)C1; [None]; [None]; [0]
+CCCOc1ccc(-c2ccc3nccnc3c2)nc1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CCCOc1ccc(Br)nc1', 'Brc1ccc2nccnc2c1']; ['CCCOc1ccc(Br)nc1', 'OB(O)c1ccc2nccnc2c1', 'CCCOc1ccc(Br)nc1']; [0.9999995231628418, 0.9999956488609314, 0.9998295307159424]
 CC(=O)N1CCCN(c2cccc(-c3ccc4nccnc4c3)c2)CC1; [None]; [None]; [0]
-CC(C)c1cc(-c2ccc3nccnc3c2)nc(N)n1; [None]; [None]; [0]
-CCCOc1ccc(-c2ccc3nccnc3c2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3ccc4nccnc4c3)[nH]c2c1; [None]; [None]; [0]
+Brc1ccc(-c2ccc3nccnc3c2)cc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1ccc(I)cc1', 'Brc1ccc2nccnc2c1', 'Brc1ccc(I)cc1', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(Br)cc2)OC1', 'Brc1ccc(Br)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'O=S(=O)(Oc1ccc(Br)cc1)C(F)(F)F', 'Brc1ccc(Br)cc1', 'Clc1ccc(Br)cc1', 'Brc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc(Br)cc1', 'Brc1ccc(I)cc1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'OB(O)c1ccc(Br)cc1', 'Br[Mg]c1ccc(Br)cc1', 'Brc1ccc(Br)cc1', 'Br[Mg]c1ccc(Br)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccccc1']; ['Ic1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'CC1(C)COB(c2ccc(Br)cc2)OC1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'O=S(=O)(Oc1ccc(Br)cc1)C(F)(F)F', 'Ic1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'O=S(=O)(Oc1ccc(Br)cc1)C(F)(F)F', 'Brc1ccc(I)cc1', 'F[B-](F)(F)c1ccc(Br)cc1', 'OCc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Brc1ccc(Br)cc1', 'Clc1ccc(Br)cc1', 'OB(O)c1ccc2nccnc2c1']; [0.999997615814209, 0.9999926090240479, 0.9999828338623047, 0.9999749660491943, 0.9999591708183289, 0.9999387264251709, 0.9998785853385925, 0.9998340010643005, 0.999830424785614, 0.9998213052749634, 0.9998199939727783, 0.9996960759162903, 0.9990513920783997, 0.9987616539001465, 0.9961457252502441, 0.9958314895629883, 0.9954522848129272, 0.9953479170799255, 0.9942363500595093, 0.9937146902084351, 0.9911526441574097, 0.9812963008880615, 0.9786534309387207, 0.9555529356002808, 0.9518802165985107, 0.9175476431846619, 0.8438615798950195, 0.7977042198181152]
+CN(C)c1ccc(-c2ccc3nccnc3c2)cc1Cl; ['Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccccc1Cl', 'Brc1ccc2nccnc2c1', 'CN(C)c1ccc(Br)cc1Cl', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'CN(C)c1ccccc1Cl']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CN(C)c1ccccc1Cl', 'Ic1ccc2nccnc2c1', 'c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CN(C)c1ccc(Br)cc1Cl', 'Clc1ccc2nccnc2c1', 'CN(C)c1ccccc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'Ic1ccc2nccnc2c1']; [0.9999972581863403, 0.9999971985816956, 0.999997079372406, 0.9999804496765137, 0.999930739402771, 0.9997411966323853, 0.9997047185897827, 0.9989661574363708, 0.997368335723877, 0.9864746332168579, 0.9863320589065552, 0.981638491153717, 0.9811018705368042, 0.9321571588516235]
+CCN(CC)C(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2nccnc2c1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Ic1ccc2nccnc2c1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccccc1', 'Clc1ccc2nccnc2c1', 'c1ccc2nccnc2c1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Ic1ccc2nccnc2c1', 'CCN(CC)C(=O)c1ccc(F)cc1', 'COc1ccc2nccnc2c1', 'COc1ccc2nccnc2c1']; [1.0, 0.9999997615814209, 0.9999995231628418, 0.9999986886978149, 0.9999978542327881, 0.999997615814209, 0.9999927282333374, 0.9999922513961792, 0.9999917149543762, 0.9999877214431763, 0.9999637603759766, 0.9998797178268433, 0.999761700630188, 0.9996936321258545, 0.9986387491226196, 0.9984996318817139, 0.9979482889175415, 0.9976065158843994, 0.9958646893501282, 0.9884425401687622, 0.9801616668701172, 0.9198316335678101]
+c1cnc2cc(-c3ccn4nccc4n3)ccc2n1; ['Ic1ccn2nccc2n1', 'Clc1ccn2nccc2n1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccn2nccc2n1', 'Brc1ccn2nccc2n1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccn2nccc2n1', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccn2nccc2n1', 'c1cnc2ccnn2c1']; [1.0, 0.9999963045120239, 0.9999949932098389, 0.9999945163726807, 0.9999911785125732, 0.9959724545478821, 0.9951601028442383]
+CC(C)c1ccc2nc(-c3ccc4nccnc4c3)[nH]c2c1; ['CC(C)c1ccc(N)c([N+](=O)[O-])c1']; ['O=Cc1ccc2nccnc2c1']; [0.9990109205245972]
+Cc1c(C(=O)[O-])cccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3nccnc3c2)c(C)c1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'Brc1ccc2nccnc2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'Brc1ccc2nccnc2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'Brc1ccc2nccnc2c1']; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'OB(O)c1ccc2nccnc2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'Clc1ccc2nccnc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'Ic1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; [0.999996542930603, 0.9999961853027344, 0.9999575614929199, 0.999854564666748, 0.9997822046279907, 0.9995746612548828, 0.9993677139282227, 0.9982118606567383, 0.9976345896720886, 0.9844582080841064]
+c1ccc2c(-c3ccc4nccnc4c3)c[nH]c2c1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Clc1c[nH]c2ccccc12', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1c[nH]c2ccccc12']; [0.9998759031295776, 0.9997854232788086, 0.999541163444519, 0.998288631439209, 0.9980040788650513, 0.9970656633377075, 0.9850088357925415, 0.9738559722900391, 0.9280405044555664, 0.9200340509414673]
+COc1ccc(Cl)cc1-c1ccc2nccnc2c1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1ccc(Cl)cc1I', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2nccnc2c1', 'COc1ccc(Cl)cc1Br', 'Brc1ccc2nccnc2c1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'Br[Mg]c1ccc2nccnc2c1', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1Cl', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1[Mg]Br', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1']; ['COc1ccc(Cl)cc1I', 'OB(O)c1ccc2nccnc2c1', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1Cl', 'Ic1ccc2nccnc2c1', 'COc1ccc(Cl)cc1I', 'OB(O)c1ccc2nccnc2c1', 'COc1ccc(Cl)cc1B(O)O', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'COc1ccc(Cl)cc1I', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1Br', 'Clc1ccc2nccnc2c1', 'c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'COc1ccc(Cl)cc1', 'COc1ccc(Cl)cc1[Mg]Br']; [0.9999982714653015, 0.9999855756759644, 0.9999723434448242, 0.9999583959579468, 0.9997988343238831, 0.9997806549072266, 0.9997124671936035, 0.9996516704559326, 0.9992880821228027, 0.998969554901123, 0.9987236261367798, 0.9980695247650146, 0.9978204965591431, 0.9971622228622437, 0.9907307028770447, 0.9830192923545837, 0.9724994897842407, 0.9709274768829346, 0.9666251540184021, 0.9635067582130432, 0.9538239240646362]
+COc1cc(OC)c(-c2ccc3nccnc3c2)cc1Cl; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Br)cc1Cl', 'Brc1ccc2nccnc2c1', 'COc1ccc(Cl)c(OC)c1', 'Brc1ccc2nccnc2c1', 'COc1ccc(Cl)c(OC)c1']; ['COc1cc(OC)c(Br)cc1Cl', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'COc1cc(OC)c(Br)cc1Cl', 'OB(O)c1ccc2nccnc2c1', 'COc1ccc(Cl)c(OC)c1', 'Ic1ccc2nccnc2c1']; [0.9999985098838806, 0.9999792575836182, 0.9999212026596069, 0.9978705048561096, 0.9955131411552429, 0.8452614545822144, 0.7774065732955933]
+c1ccc(-n2cccn2)c(-c2ccc3nccnc3c2)c1; ['Brc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Brc1ccccc1-n1cccn1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1ccccc1-n1cccn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccccc1-n1cccn1', 'Brc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Brc1ccccc1-n1cccn1', 'Ic1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Ic1ccc2nccnc2c1', 'Clc1ccccc1-n1cccn1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'c1ccc(-n2cccn2)cc1', 'Brc1ccccc1-n1cccn1', 'c1ccc(-n2cccn2)cc1', 'Clc1ccc2nccnc2c1', 'Clc1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'c1ccc(-n2cccn2)cc1', 'c1ccc2nccnc2c1', 'c1ccc2nccnc2c1', 'c1ccc(-n2cccn2)cc1']; [0.9999988079071045, 0.9999955892562866, 0.9999819397926331, 0.9999281167984009, 0.9999064207077026, 0.9998818635940552, 0.9998315572738647, 0.9998215436935425, 0.9997950792312622, 0.9995875358581543, 0.9992258548736572, 0.9986100792884827, 0.9985758066177368, 0.9982788562774658, 0.9981130361557007, 0.9978592395782471, 0.9720174074172974, 0.8692113757133484, 0.8602194786071777, 0.8360487222671509]
+CC(=O)Nc1cccc(-c2ccc3nccnc3c2)c1; ['Brc1ccc2nccnc2c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'Brc1ccc2nccnc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Brc1ccc2nccnc2c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CC(=O)Nc1cccc(Br)c1']; [0.9999695420265198, 0.9999645352363586, 0.9999043941497803, 0.9998737573623657, 0.9997925162315369, 0.9995298385620117, 0.9994441270828247, 0.9981648325920105, 0.9930416345596313, 0.9873429536819458, 0.9409388303756714]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3ccc4nccnc4c3)nc2c1F; [None]; [None]; [0]
+c1ccc(-c2cc(-c3ccc4nccnc4c3)n[nH]2)cc1; ['Ic1ccc2nccnc2c1']; ['c1ccc(-c2ccn[nH]2)cc1']; [0.9841660261154175]
+c1cnc2cc(-c3ccc4c(c3)CCO4)ccc2n1; ['Brc1ccc2c(c1)CCO2', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2c(c1)CCO2', 'Clc1ccc2nccnc2c1', 'Brc1ccc2c(c1)CCO2', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2c(c1)CCO2', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'Brc1ccc2nccnc2c1', 'Ic1ccc2c(c1)CCO2']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1ccc2nccnc2c1', 'Ic1ccc2c(c1)CCO2', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2c(c1)CCO2', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2c(c1)CCO2', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2c(c1)CCO2', 'Brc1ccc2nccnc2c1', 'Brc1ccc2c(c1)CCO2', 'Brc1ccc2nccnc2c1', 'Clc1ccc2c(c1)CCO2', 'Clc1ccc2nccnc2c1', 'c1ccc2nccnc2c1', 'c1ccc2c(c1)CCO2', 'c1ccc2nccnc2c1']; [0.9999983906745911, 0.999997615814209, 0.9999942183494568, 0.9999900460243225, 0.9999836683273315, 0.9999771118164062, 0.9999744296073914, 0.9999694228172302, 0.999961256980896, 0.9999573230743408, 0.9999538660049438, 0.9998964071273804, 0.9998699426651001, 0.9995838403701782, 0.9990336894989014, 0.9986100792884827, 0.9972772002220154, 0.986729085445404, 0.9763468503952026, 0.960128903388977, 0.9321905970573425, 0.8877836465835571]
+c1cc2c(c(-c3ccc4nccnc4c3)c1)OCO2; ['Brc1cccc2c1OCO2', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1cccc2c1OCO2', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Ic1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Brc1cccc2c1OCO2']; [0.9999990463256836, 0.9999990463256836, 0.9999964237213135, 0.9999959468841553, 0.9999958276748657, 0.9999951720237732, 0.9999856948852539, 0.9999845027923584, 0.9999730587005615, 0.9999541640281677, 0.9996482133865356, 0.9996411800384521, 0.9996035695075989]
+c1cnc2cc(-c3scc4c3OCCO4)ccc2n1; ['Brc1ccc2nccnc2c1']; ['c1scc2c1OCCO2']; [0.9999973773956299]
+COc1cc(-c2ccc3nccnc3c2)ccc1O; [None]; [None]; [0]
+Nc1nc(-c2ccc3nccnc3c2)cs1; ['CC(=O)c1ccc2nccnc2c1', None]; ['NC(N)=S', None]; [0.9999977946281433, 0]
+CC(C)(C)c1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2ccc3nccnc3c2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COC(=O)c1cccc(OC)c1']; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1']; [0.9999957084655762, 0.9999710321426392, 0.9986370801925659]
+c1ccc2ncc(-c3ccc4nccnc4c3)cc2c1; ['Brc1ccc2nccnc2c1', 'Brc1cnc2ccccc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Brc1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Clc1cnc2ccccc2c1', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Brc1cnc2ccccc2c1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Zn]c1cnc2ccccc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Ic1cnc2ccccc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Ic1ccc2nccnc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Ic1ccc2nccnc2c1', 'Brc1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1']; [0.9999991655349731, 0.9999991059303284, 0.9999931454658508, 0.9999895691871643, 0.999988853931427, 0.9999817609786987, 0.9999589920043945, 0.9999485611915588, 0.9999305605888367, 0.9999212622642517, 0.999880313873291, 0.9996557235717773, 0.9995777606964111, 0.9990673065185547, 0.998060941696167, 0.9969848394393921, 0.9964998960494995, 0.9925340414047241]
+CC1(COc2ccc3nccnc3c2)COC1; ['CC1(CBr)COC1', 'CC1(CI)COC1', 'Brc1ccc2nccnc2c1', 'CC1(CO)COC1', 'Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1', 'CC1(CCl)COC1', 'CC1(CO)COC1', 'CC1(CO)COC1', 'CC1(CO)COC1', 'CC1(CO)COC1']; ['Oc1ccc2nccnc2c1', 'Oc1ccc2nccnc2c1', 'CC1(CO)COC1', 'Ic1ccc2nccnc2c1', 'Oc1ccc2nccnc2c1', 'Oc1ccc2nccnc2c1', 'Oc1ccc2nccnc2c1', 'Fc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'O=[N+]([O-])c1ccc2nccnc2c1']; [0.9997090101242065, 0.9996777772903442, 0.9984750151634216, 0.9977715015411377, 0.9968409538269043, 0.9948313236236572, 0.9912852048873901, 0.9645532965660095, 0.9583090543746948, 0.7814640998840332]
+CN(C)C(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CN(C)C(=O)c1ccc(I)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(Cl)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(Br)cc1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(I)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(I)cc1', 'OB(O)c1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(Br)cc1', 'Ic1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(I)cc1', 'OB(O)c1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(Cl)cc1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(I)cc1', 'Clc1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(Cl)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'Ic1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(Cl)cc1', 'CN(C)C(=O)c1ccc(F)cc1']; [0.9999997615814209, 0.9999997615814209, 0.9999992251396179, 0.9999992251396179, 0.9999979138374329, 0.9999963045120239, 0.9999954700469971, 0.999995231628418, 0.9999923706054688, 0.999985933303833, 0.9999703764915466, 0.9999699592590332, 0.9999388456344604, 0.999921441078186, 0.9996980428695679, 0.9986094236373901, 0.9983106255531311, 0.998148500919342, 0.9925137162208557, 0.9695959091186523, 0.9554415941238403]
+CC(C)(C)c1ccc(-c2ccc3nccnc3c2)cn1; ['Brc1ccc2nccnc2c1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1ccc2nccnc2c1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'CC(C)(C)c1ccccn1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'OB(O)c1ccc2nccnc2c1']; [0.9999996423721313, 0.999998927116394, 0.999997079372406, 0.9999948740005493, 0.9999937415122986, 0.9999802708625793, 0.9999704360961914, 0.9998524188995361, 0.9996365904808044, 0.999258279800415, 0.9990012645721436, 0.9326717853546143]
+c1ccc2sc(-c3ccc4nccnc4c3)cc2c1; ['Brc1cc2ccccc2s1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1cc2ccccc2s1', 'Brc1cc2ccccc2s1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1cc2ccccc2s1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1', 'c1ccc2sccc2c1', 'OB(O)c1cc2ccccc2s1', 'OB(O)c1cc2ccccc2s1', 'c1ccc2sccc2c1']; [0.9999983310699463, 0.999998152256012, 0.9999954700469971, 0.9999927282333374, 0.9999858140945435, 0.9999685287475586, 0.9999678134918213, 0.9999647736549377, 0.9999591112136841]
+Cc1cc(-c2ccc3nccnc3c2)nc(N)n1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Cc1cc(Cl)nc(N)n1']; ['Cc1cc(Cl)nc(N)n1', 'OB(O)c1ccc2nccnc2c1']; [0.9999991655349731, 0.9999945163726807]
+Clc1cccc(-n2ccc(-c3ccc4nccnc4c3)n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(I)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CSc1ccc(Br)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'CSc1ccc(Cl)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CSc1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CSc1ccc([Mg]Br)cc1', 'CSc1ccc(Br)cc1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'CSc1ccc(Br)cc1', 'CSc1ccccc1', 'CSc1ccc(I)cc1', 'CSc1ccc([Mg]Br)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CSc1ccc(Cl)cc1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CSc1ccc(B(O)O)cc1', 'OB(O)c1ccc2nccnc2c1', 'CSc1ccc(Cl)cc1', 'Clc1ccc2nccnc2c1', 'CSc1ccc([B-](F)(F)F)cc1', 'CSc1ccc(I)cc1', 'Ic1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CSc1ccc([Mg]Br)cc1', 'CSc1ccc(I)cc1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CSc1ccc(Br)cc1', 'CSc1ccc(Cl)cc1', 'Ic1ccc2nccnc2c1']; [0.999990701675415, 0.9999860525131226, 0.9999454617500305, 0.999929666519165, 0.9999151229858398, 0.9998610019683838, 0.9998154640197754, 0.9997739195823669, 0.9997246265411377, 0.9995287656784058, 0.999071478843689, 0.9986114501953125, 0.9962949752807617, 0.9928593635559082, 0.9849522709846497, 0.9840607643127441, 0.9774148464202881, 0.9739681482315063, 0.960309624671936, 0.9601324796676636, 0.944489061832428, 0.9382938146591187, 0.9263572692871094, 0.9177317023277283, 0.8567681312561035]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
+Brc1cnc(-c2ccc3nccnc3c2)nc1; ['Brc1cnc(I)nc1', 'Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1cnc(Br)nc1', 'Brc1cnc(Br)nc1', 'CSc1ncc(Br)cn1']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ncc(Br)cn1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1']; [0.9999890327453613, 0.9999736547470093, 0.9998875856399536, 0.9998452067375183, 0.9997981786727905, 0.9995568990707397, 0.9960740804672241]
+Fc1ccc(-c2ccc3nccnc3c2)c(Cl)c1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Fc1ccc(I)c(Cl)c1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Fc1ccc(Cl)c(Cl)c1', 'Fc1cccc(Cl)c1', 'Clc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Fc1cccc(Cl)c1']; ['Fc1ccc(Br)c(Cl)c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(I)c(Cl)c1', 'OB(O)c1ccc2nccnc2c1', 'Fc1ccc(I)c(Cl)c1', 'Clc1ccc2nccnc2c1', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1cccc(Cl)c1', 'Ic1ccc2nccnc2c1']; [0.999998927116394, 0.999993622303009, 0.9999908208847046, 0.9999902248382568, 0.999977707862854, 0.9999614953994751, 0.9999485015869141, 0.9999244213104248, 0.999900221824646, 0.9998422861099243, 0.9995591640472412, 0.9994432926177979, 0.999130368232727, 0.9964412450790405, 0.9929760098457336, 0.9806137681007385, 0.9794054627418518, 0.9153304100036621]
+CCN1CCN(Cc2ccc(-c3ccc4nccnc4c3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'Brc1ccc2nccnc2c1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Br[Zn]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['Ic1ccc2nccnc2c1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'OB(O)c1ccc2nccnc2c1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CCN1CCN(Cc2ccc([Zn]Br)cc2)CC1', 'CCN1CCN(Cc2ccccc2)CC1', 'CCN1CCN(Cc2ccc([Mg]Br)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; [0.9999814033508301, 0.9999616146087646, 0.9999414682388306, 0.999864399433136, 0.9994216561317444, 0.997917652130127, 0.996173083782196, 0.9929021596908569, 0.9881319999694824, 0.9869668483734131, 0.9718638062477112, 0.9243295788764954]
+O=C1CCc2cc(-c3ccc4nccnc4c3)ccc2N1; ['Brc1ccc2nccnc2c1', 'O=C1CCc2cc(I)ccc2N1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'O=C1CCc2cc(Br)ccc2N1', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(Cl)ccc2N1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'O=C1CCc2cc(Br)ccc2N1', 'Ic1ccc2nccnc2c1', 'O=C1CCc2cc(I)ccc2N1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'O=C1CCc2cc(Cl)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999312162399292, 0.9997591972351074, 0.9997278451919556, 0.9997128248214722, 0.999647855758667, 0.9994196891784668, 0.9985097050666809, 0.9981732964515686, 0.9976412057876587, 0.9910498857498169, 0.9404451847076416, 0.8917548656463623, 0.7832730412483215]
+COc1ccc(CNc2ccc3nccnc3c2)cc1; ['COc1ccc(CCl)cc1', 'COc1ccc(CN)cc1', 'Brc1ccc2nccnc2c1', 'COc1ccc(CBr)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1']; ['Nc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'COc1ccc(CN)cc1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Fc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1']; [0.9997920989990234, 0.9996782541275024, 0.9994264245033264, 0.9993458986282349, 0.9988172650337219, 0.9986193180084229, 0.9985790252685547, 0.996212363243103]
+CCc1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1', 'Brc1ccc2nccnc2c1', 'CCc1ccc(Cl)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'CCc1ccc(Br)cc1', 'Brc1ccc2nccnc2c1', 'CCc1ccc([Mg]Br)cc1', 'Brc1ccc2nccnc2c1', 'CCc1ccc([Mg]Br)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'CCc1ccccc1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2nccnc2c1', 'CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1', 'Clc1ccc2nccnc2c1', 'CCc1ccc(Cl)cc1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CCc1ccc(B(O)O)cc1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CCc1ccc(I)cc1', 'Ic1ccc2nccnc2c1', 'CCc1ccc([Mg]Br)cc1', 'Ic1ccc2nccnc2c1', 'CCc1ccc(Br)cc1', 'Clc1ccc2nccnc2c1', 'CCc1ccc(I)cc1', 'OB(O)c1ccc2nccnc2c1', 'CCc1ccc(Br)cc1', 'CCc1ccc(Cl)cc1']; [0.9999984502792358, 0.999994158744812, 0.9999895095825195, 0.9999794960021973, 0.9999711513519287, 0.9999457001686096, 0.9999072551727295, 0.999886155128479, 0.9998682141304016, 0.999748706817627, 0.9997084140777588, 0.9991266131401062, 0.9982203245162964, 0.9966063499450684, 0.9875211715698242, 0.983269453048706, 0.9813604950904846, 0.9741109013557434, 0.9638679623603821, 0.9622137546539307, 0.9463738203048706, 0.8362208604812622]
+c1cc2cnc(-c3ccc4nccnc4c3)nn2c1; ['Clc1ncc2cccn2n1']; ['OB(O)c1ccc2nccnc2c1']; [0.9999327063560486]
 O=C(C1CC1)N1CC(Nc2ccc3nccnc3c2)C1; [None]; [None]; [0]
-Nc1cc(-c2ccc3nccnc3c2)c2cc[nH]c2n1; [None]; [None]; [0]
+Clc1ccc(-c2ccc3nccnc3c2)c(Cl)c1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Clc1ccc(Br)c(Cl)c1', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Clc1ccc(I)c(Cl)c1', 'Ic1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1ccc(Br)c(Cl)c1', 'Brc1ccc2nccnc2c1', 'Clc1ccc([Mg]Br)c(Cl)c1', 'Br[Mg]c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Fc1ccc(Cl)cc1Cl', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1cccc(Cl)c1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc(Cl)cc1Cl', 'Fc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Clc1ccc([Mg]Br)c(Cl)c1', 'Clc1cccc(Cl)c1']; ['Clc1ccc(Br)c(Cl)c1', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccc(I)c(Cl)c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc(I)c(Cl)c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc(I)c(Cl)c1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc(Br)c(Cl)c1', 'Clc1ccc([Mg]Br)c(Cl)c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc(Br)c(Cl)c1', 'F[B-](F)(F)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'OCc1ccc2nccnc2c1', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1cccc(Cl)c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1']; [0.999996542930603, 0.9999895691871643, 0.9999816417694092, 0.9999806880950928, 0.9999532699584961, 0.9999472498893738, 0.999942421913147, 0.9999200105667114, 0.9998928308486938, 0.9996883869171143, 0.9993082284927368, 0.9989480376243591, 0.998849630355835, 0.9987475872039795, 0.9976128339767456, 0.9972560405731201, 0.9963213205337524, 0.9953734874725342, 0.9953325986862183, 0.993651807308197, 0.9935210943222046, 0.9862455129623413, 0.9780046343803406, 0.9623062610626221, 0.8449358940124512, 0.8348753452301025, 0.7808303236961365]
+COc1ccc(-c2ccc3nccnc3c2)cc1OC; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'COc1ccc(B(O)O)cc1OC', 'COc1ccccc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(Br)cc1OC', 'Brc1ccc2nccnc2c1', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(F)cc1OC', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccccc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccccc1OC']; ['COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'COc1ccc(Cl)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'COc1ccc(Cl)cc1OC', 'Fc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'COc1ccccc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1']; [0.9999600648880005, 0.9999475479125977, 0.9999470114707947, 0.9998496770858765, 0.9997309446334839, 0.999600887298584, 0.9995644092559814, 0.9995337724685669, 0.9994351863861084, 0.9993740320205688, 0.997951328754425, 0.9967660903930664, 0.9963197112083435, 0.9963096380233765, 0.9959539771080017, 0.9928060173988342, 0.9918529987335205, 0.9746640920639038, 0.9731577634811401, 0.9677624702453613, 0.965548038482666, 0.9636234641075134, 0.9625204801559448, 0.9446573257446289, 0.898308515548706, 0.864814817905426, 0.8647534251213074, 0.8440377712249756]
+COc1cc(-c2ccc3nccnc3c2)ccc1N1CCOCC1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'Brc1ccc2nccnc2c1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1ccccc1N1CCOCC1', 'COc1ccccc1N1CCOCC1']; ['COc1cc(Br)ccc1N1CCOCC1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1ccccc1N1CCOCC1', 'c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1']; [0.999998152256012, 0.9999929666519165, 0.9999881982803345, 0.9999865293502808, 0.9999864101409912, 0.9999617338180542, 0.998417317867279, 0.9451010227203369, 0.9363448619842529, 0.8963053226470947, 0.8925608992576599]
+Cn1cc(-c2ccc3nccnc3c2)c(C(F)(F)F)n1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1ccc2nccnc2c1', 'Cn1cc(Cl)c(C(F)(F)F)n1', 'Clc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Cn1ccc(C(F)(F)F)n1', 'Brc1ccc2nccnc2c1']; ['Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Cl)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'OB(O)c1ccc2nccnc2c1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1ccc(C(F)(F)F)n1', 'Ic1ccc2nccnc2c1', 'Cn1cc(Br)c(C(F)(F)F)n1']; [0.9999980330467224, 0.9999976754188538, 0.9999974966049194, 0.9999933242797852, 0.9999932646751404, 0.9999876022338867, 0.9999744296073914, 0.9999665021896362, 0.9999538660049438, 0.9999337792396545, 0.9998924732208252, 0.9992365837097168, 0.998989462852478, 0.9981259107589722, 0.9970517158508301, 0.9954107403755188]
+c1ccn2nc(-c3ccc4nccnc4c3)cc2c1; ['Brc1cc2ccccn2n1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1cc2ccccn2n1', 'Brc1cc2ccccn2n1', 'Brc1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1cc2ccccn2n1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'c1ccn2nccc2c1']; [0.9999972581863403, 0.9999966025352478, 0.9999752640724182, 0.9999750852584839, 0.9985759258270264]
+CC1(C)Cc2cc(-c3ccc4nccnc4c3)ccc2O1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
+COc1ccc2cccc(-c3ccc4nccnc4c3)c2c1; ['COc1ccc2ccccc2c1']; ['OB(O)c1ccc2nccnc2c1']; [0.877424955368042]
+Cc1nc(Nc2ccc3nccnc3c2)sc1C; ['Cc1nc(Cl)sc1C', 'Brc1ccc2nccnc2c1', 'Cc1nc(Br)sc1C', 'Cc1nc(N)sc1C']; ['Nc1ccc2nccnc2c1', 'Cc1nc(N)sc1C', 'Nc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1']; [0.9999966025352478, 0.9999953508377075, 0.9999931454658508, 0.9999581575393677]
+Clc1cnc(-c2ccc3nccnc3c2)nc1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1cnc(I)nc1', 'Clc1cnc(Br)nc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Clc1cnc(Cl)nc1', 'CSc1ncc(Cl)cn1', 'Clc1cncnc1']; ['Clc1cnc(I)nc1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1']; [0.9999892711639404, 0.9999865293502808, 0.9999454021453857, 0.9999256730079651, 0.9998816251754761, 0.9998157024383545, 0.9968560934066772, 0.8604254722595215]
+Oc1ccc2cccc(-c3ccc4nccnc4c3)c2c1; [None]; [None]; [0]
+Cc1csc2c(-c3ccc4nccnc4c3)ncnc12; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Cc1csc2c(Cl)ncnc12']; ['Cc1csc2c(Cl)ncnc12', 'OB(O)c1ccc2nccnc2c1']; [0.9999675154685974, 0.9999015927314758]
+Cc1cc(Nc2ccc3nccnc3c2)nn1C; ['Cc1cc(N)nn1C', 'Cc1cc(Cl)nn1C', 'Cc1cc(Br)nn1C', 'Brc1ccc2nccnc2c1', 'Cc1cc(N)nn1C', 'Cc1cc(N)nn1C', 'Cc1cc(N)nn1C']; ['OB(O)c1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Cc1cc(N)nn1C', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Fc1ccc2nccnc2c1']; [0.9999975562095642, 0.9999887943267822, 0.9999849796295166, 0.9999340772628784, 0.9999223947525024, 0.9992705583572388, 0.9992297887802124]
+CCNC(=O)c1ccc(-c2ccc3nccnc3c2)nc1; ['CCNC(=O)c1ccc(Cl)nc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C']; ['OB(O)c1ccc2nccnc2c1', 'CCNC(=O)c1ccc(Cl)nc1']; [0.9999809861183167, 0.9999585747718811]
+COc1cc(F)c(-c2ccc3nccnc3c2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2ccc3nccnc3c2)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2ccc3nccnc3c2)cn1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1']; ['OCCn1cc(I)cn1', 'OCCn1cc(I)cn1', 'Ic1ccc2nccnc2c1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(I)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1']; [0.9999992251396179, 0.9999967813491821, 0.9999943971633911, 0.9999916553497314, 0.9999781847000122, 0.9999756217002869, 0.9999681711196899, 0.9999374151229858, 0.9999198913574219, 0.9998273253440857, 0.9998071193695068, 0.9955462217330933, 0.9942253828048706]
+CNC(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(I)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CNC(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CNC(=O)c1ccc(Br)cc1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CNC(=O)c1ccc(I)cc1', 'Ic1ccc2nccnc2c1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(I)cc1', 'Ic1ccc2nccnc2c1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccccc1', 'c1ccc2nccnc2c1']; [0.9999992847442627, 0.9999992847442627, 0.9999971389770508, 0.9999966621398926, 0.9999949932098389, 0.9999945759773254, 0.9999932050704956, 0.9999908208847046, 0.9999867081642151, 0.9999752044677734, 0.9999637603759766, 0.9999507665634155, 0.9999030232429504, 0.9996902346611023, 0.9903996586799622, 0.9899022579193115, 0.9832578897476196]
+O=C(Nc1ccc2nccnc2c1)c1ccco1; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1']; [0.9999912977218628, 0.9997391700744629]
+Nc1cc(-c2ccc3nccnc3c2)c2cc[nH]c2n1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Nc1cc(Br)c2cc[nH]c2n1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Nc1cc(Cl)c2cc[nH]c2n1', 'Brc1ccc2nccnc2c1']; ['Nc1cc(Br)c2cc[nH]c2n1', 'OB(O)c1ccc2nccnc2c1', 'Nc1cc(Cl)c2cc[nH]c2n1', 'OB(O)c1ccc2nccnc2c1', 'Nc1cc(Br)c2cc[nH]c2n1']; [0.9999986886978149, 0.9999967813491821, 0.9999881982803345, 0.9999693632125854, 0.9793074131011963]
+COc1cc(-c2ccc3nccnc3c2)c(OC)cc1Br; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1cc(I)c(OC)cc1Br', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1cc(Br)c(OC)cc1Br', 'Brc1ccc2nccnc2c1', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1ccc(OC)c(Br)c1', 'Brc1ccc2nccnc2c1', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br']; ['COc1cc(I)c(OC)cc1Br', 'OB(O)c1ccc2nccnc2c1', 'COc1cc(Br)c(OC)cc1Br', 'OB(O)c1ccc2nccnc2c1', 'COc1cc(I)c(OC)cc1Br', 'Ic1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'COc1cc(B(O)O)c(OC)cc1Br', 'Ic1ccc2nccnc2c1', 'c1ccc2nccnc2c1']; [0.9999995231628418, 0.9999995231628418, 0.9996874332427979, 0.9996650218963623, 0.9995429515838623, 0.9991181492805481, 0.9990464448928833, 0.9990202188491821, 0.9979641437530518, 0.9939432740211487, 0.929473876953125, 0.8254567384719849]
 COc1cc(CS(C)(=O)=O)ccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2ccc3nccnc3c2)cc1; ['ClCc1ccc2nccnc2c1']; ['O=S(=O)(CCO)c1ccc(Br)cc1']; [0.9904522895812988]
+NC(=O)c1ccc(Cc2ccc3nccnc3c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'ClCc1ccc2nccnc2c1', 'NC(=O)c1ccc(CCl)cc1', 'BrCc1ccc2nccnc2c1', 'BrCc1ccc2nccnc2c1', 'NC(=O)c1ccc(CBr)cc1', 'Brc1ccc2nccnc2c1', 'BrCc1ccc2nccnc2c1']; ['ClCc1ccc2nccnc2c1', 'NC(=O)c1ccc(CCl)cc1', 'NC(=O)c1ccc(CBr)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2nccnc2c1', 'NC(=O)c1ccc(CBr)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.9999212622642517, 0.9998788833618164, 0.9998615980148315, 0.9998135566711426, 0.9998046159744263, 0.9997175931930542, 0.9990116357803345, 0.9987526535987854, 0.9474037289619446, 0.9461646676063538]
+COc1cc(OC)cc(-c2ccc3nccnc3c2)c1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1cc(OC)cc(B(O)O)c1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(F)cc(OC)c1', 'Br[Mg]c1ccc2nccnc2c1', 'COc1cc(OC)cc([Mg]Br)c1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'COc1cc(OC)cc(B(O)O)c1', 'Br[Mg]c1ccc2nccnc2c1', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1cccc(OC)c1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'COc1cc(OC)cc(B(O)O)c1']; ['COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(I)cc(OC)c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Cl)cc(OC)c1', 'Ic1ccc2nccnc2c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(I)cc(OC)c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'Ic1ccc2nccnc2c1', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1cc(Br)cc(OC)c1', 'Fc1ccc2nccnc2c1', 'COc1cc(I)cc(OC)c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'OCc1ccc2nccnc2c1']; [0.9999935626983643, 0.9999911189079285, 0.99998939037323, 0.9999827146530151, 0.9999669194221497, 0.9999668598175049, 0.9999645948410034, 0.9999628067016602, 0.9999549984931946, 0.9999425411224365, 0.9999169707298279, 0.9998853206634521, 0.9998750686645508, 0.9998021125793457, 0.9997947812080383, 0.9989864826202393, 0.9989064931869507, 0.9982063174247742, 0.9966756105422974, 0.9944199919700623, 0.9926954507827759, 0.9909087419509888, 0.9907097816467285, 0.9879282712936401, 0.9867112040519714, 0.9824535846710205, 0.9797239303588867, 0.9192544221878052]
+CCNC(=O)N1CCC(c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2ccc3nccnc3c2)CC1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2ccc3nccnc3c2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', None, 'CC(C)(C)c1ccc(C(=O)O)cc1', 'CCOC(=O)c1ccc(C(C)(C)C)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['Nc1ccc2nccnc2c1', None, 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1']; [0.9999985694885254, 0, 0.9999852180480957, 0.999945342540741, 0.9999143481254578, 0.9976115226745605]
 O=C(Nc1cn[nH]c1)c1cccc(-c2ccc3nccnc3c2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1ccc3nccnc3c1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2ccc3nccnc3c2)c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1ccc3nccnc3c1)cn2C; ['Br[Mg]c1ccc2nccnc2c1']; ['COc1ccc2c(ccn2C)c1']; [0.9982532262802124]
+c1cnc2cc(-c3ccc4cn[nH]c4c3)ccc2n1; ['Brc1ccc2cn[nH]c2c1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Ic1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Clc1ccc2cn[nH]c2c1', 'Clc1ccc2nccnc2c1', 'Brc1ccc2cn[nH]c2c1']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Ic1ccc2cn[nH]c2c1', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Brc1ccc2nccnc2c1']; [0.9999984502792358, 0.9999980330467224, 0.9999977350234985, 0.9999961853027344, 0.9999871253967285, 0.9999849796295166, 0.9999675750732422, 0.9999434351921082, 0.9999349117279053, 0.9998582601547241, 0.9997990727424622, 0.9990090131759644, 0.9981800317764282, 0.9939730167388916]
+CCn1cc(-c2ccc3nccnc3c2)cn1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'Brc1ccc2nccnc2c1', 'CCn1cc(Cl)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1', 'Brc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['CCn1cc(I)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CCn1cc(Br)cn1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CCn1cc(B(O)O)cn1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CCn1cc(Br)cn1', 'CCn1cccn1']; [0.9999991655349731, 0.9999970197677612, 0.9999958276748657, 0.9999904036521912, 0.9999895095825195, 0.9999489784240723, 0.9999206066131592, 0.9996744394302368, 0.9996547698974609, 0.9995578527450562, 0.9983682632446289, 0.9919202327728271, 0.9245033860206604]
+COc1ccc2oc(-c3ccc4nccnc4c3)cc2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
+c1cnc2cc(-c3ncc4sccc4n3)ccc2n1; ['Clc1ncc2sccc2n1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C']; ['OB(O)c1ccc2nccnc2c1', 'Clc1ncc2sccc2n1']; [0.9999979138374329, 0.9999963045120239]
+c1ccc2oc(-c3ccc4nccnc4c3)cc2c1; ['Brc1cc2ccccc2o1', 'C#Cc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Brc1cc2ccccc2o1', 'Ic1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'O=S(=O)(Cl)c1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Oc1ccccc1I', 'OB(O)c1cc2ccccc2o1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1cc2ccccc2o1', 'c1ccc2occc2c1', 'c1ccc2occc2c1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1', 'c1ccc2occc2c1', 'Ic1ccc2nccnc2c1', 'c1ccc2occc2c1']; [0.999997615814209, 0.9999822378158569, 0.9999470710754395, 0.9999237060546875, 0.9999207258224487, 0.9994041919708252, 0.9981361031532288, 0.9981024265289307, 0.9976369142532349, 0.9953011274337769, 0.9942679405212402, 0.9783860445022583]
+CNC(=O)c1ccc(OC)c(-c2ccc3nccnc3c2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CNC(=O)c1ccc(OC)c(Br)c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1']; ['OB(O)c1ccc2nccnc2c1', 'CNC(=O)c1ccc(OC)c(Br)c1', 'Ic1ccc2nccnc2c1', 'CNC(=O)c1ccc(OC)cc1', 'CNC(=O)c1ccc(OC)c(Br)c1']; [0.9999872446060181, 0.9999634027481079, 0.9995545148849487, 0.9969481229782104, 0.9908370971679688]
+COc1ccc2nc(-c3ccc4nccnc4c3)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1', 'BrCc1ccc2nccnc2c1', 'COc1ccc(N)c(N)c1', 'COc1ccc([N+](=O)[O-])c(N)c1', 'COc1ccc(N)c(N)c1', 'COc1ccc(N)c([N+](=O)[O-])c1']; ['O=C(Cl)c1ccc2nccnc2c1', 'O=C(O)c1ccc2nccnc2c1', 'O=Cc1ccc2nccnc2c1', 'COc1ccc(N)c(N)c1', 'NCc1ccc2nccnc2c1', 'O=Cc1ccc2nccnc2c1', 'OCc1ccc2nccnc2c1', 'O=Cc1ccc2nccnc2c1']; [0.9988298416137695, 0.995468020439148, 0.9954374432563782, 0.9929602146148682, 0.9928556680679321, 0.9880319833755493, 0.9660079479217529, 0.9524487257003784]
+COc1ccc(F)c(C(=O)Nc2ccc3nccnc3c2)c1; ['COc1ccc(F)c(C(=O)O)c1', 'COC(=O)c1cc(OC)ccc1F']; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1']; [0.9999908804893494, 0.9999569654464722]
+CC(C)c1nn(C)cc1-c1ccc2nccnc2c1; ['CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br', 'Brc1ccc2nccnc2c1', 'CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CC(C)c1ccn(C)n1']; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1ccn(C)n1', 'Ic1ccc2nccnc2c1']; [0.9999970197677612, 0.9999943971633911, 0.9999920129776001, 0.999972403049469, 0.9999579787254333, 0.9999562501907349, 0.999915599822998, 0.9958678483963013, 0.9955363869667053, 0.9861475825309753, 0.9647878408432007]
+Cn1cc(-c2ccc3nccnc3c2)c2ccccc21; ['Brc1ccc2nccnc2c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Clc1ccc2nccnc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1ccc2nccnc2c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999988079071045, 0.999987006187439, 0.9999796152114868]
+Cn1cc(Br)cc1-c1ccc2nccnc2c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3ccc4nccnc4c3)c2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccc3nccnc3c2)c1)N1CCCC1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2ccc3nccnc3c2)cc1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3ccc4nccnc4c3)[nH]c2c1; [None]; [None]; [0]
-c1cnc2cc(-c3ncn4c3CCCC4)ccc2n1; [None]; [None]; [0]
+CCc1cccc(-c2ccc3nccnc3c2)n1; [None]; [None]; [0]
+c1cnc2cc(-c3ncn4c3CCCC4)ccc2n1; ['OB(O)c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1']; ['c1ncn2c1CCCC2', 'c1ncn2c1CCCC2', 'c1ncn2c1CCCC2']; [0.9998990297317505, 0.9945898056030273, 0.9148160219192505]
+Cn1ncc2cc(-c3ccc4nccnc4c3)ccc21; ['Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Brc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Cn1ncc2cc(Cl)ccc21', 'Clc1ccc2nccnc2c1', 'Cn1ncc2cc(Br)ccc21', 'Brc1ccc2nccnc2c1']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Cn1ncc2cc(Cl)ccc21', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'OB(O)c1ccc2nccnc2c1', 'Cn1ncc2cc(B(O)O)ccc21', 'Ic1ccc2nccnc2c1', 'Cn1ncc2cc(Br)ccc21']; [0.9999996423721313, 0.9999994039535522, 0.9999994039535522, 0.9999980330467224, 0.9999979734420776, 0.9999979734420776, 0.9999968409538269, 0.9999966621398926, 0.9999903440475464, 0.9999847412109375, 0.9999733567237854, 0.9999696016311646, 0.9998979568481445, 0.9998455047607422, 0.9951654672622681]
+CC(=O)N1CCC(n2cc(-c3ccc4nccnc4c3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'Brc1ccc2nccnc2c1']; ['Ic1ccc2nccnc2c1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; [0.9999975562095642, 0.9999963045120239]
+Cc1n[nH]c2cc(-c3ccc4nccnc4c3)ccc12; ['Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Brc1ccc2nccnc2c1', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Brc1ccc2nccnc2c1', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Brc1ccc2nccnc2c1']; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Ic1ccc2nccnc2c1', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Cc1n[nH]c2cc(I)ccc12', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Cc1n[nH]c2cc(Br)ccc12']; [0.9999995231628418, 0.9999990463256836, 0.999998152256012, 0.9999914169311523, 0.9999872446060181, 0.9999862909317017, 0.9999836683273315, 0.9999626874923706, 0.9999372959136963, 0.9999306797981262, 0.999650776386261, 0.999176025390625, 0.9972129464149475]
+CN(C)c1ccc(-c2ccc3nccnc3c2)cn1; ['Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Cl)cn1', 'CN(C)c1ccc(Br)cn1', 'Brc1ccc2nccnc2c1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc([Zn]Br)cn1', 'CN(C)c1ccc(Br)cn1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(I)cn1', 'Ic1ccc2nccnc2c1', 'CN(C)c1ccc(Cl)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'Clc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CN(C)c1ccc(I)cn1', 'Clc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(Cl)cn1']; [0.9999986886978149, 0.9999969601631165, 0.9999930262565613, 0.9999908804893494, 0.9999906420707703, 0.9999903440475464, 0.9999895095825195, 0.9999520778656006, 0.999920666217804, 0.9998865127563477, 0.9998759031295776, 0.9997788667678833, 0.9997397065162659, 0.9983958005905151, 0.9976798295974731, 0.99640291929245, 0.9899857640266418]
 Cn1nc(Cl)c2cc(-c3ccc4nccnc4c3)ccc21; [None]; [None]; [0]
-O=C(Nc1ccc2nccnc2c1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3ccc4nccnc4c3)cn2)CC1; [None]; [None]; [0]
+O=C(Nc1ccc2nccnc2c1)c1cccc(OC(F)(F)F)c1; ['Nc1ccc2nccnc2c1', None, 'Nc1ccc2nccnc2c1', 'COC(=O)c1cccc(OC(F)(F)F)c1', 'Nc1ccc2nccnc2c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', None, 'O=C(O)c1cccc(OC(F)(F)F)c1', 'Nc1ccc2nccnc2c1', 'O=Cc1cccc(OC(F)(F)F)c1']; [0.9999992847442627, 0, 0.9999938011169434, 0.9998592138290405, 0.9995878338813782]
+O=C1CCCN1c1cccc(-c2ccc3nccnc3c2)c1; ['O=C1CCCN1c1cccc(Br)c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'O=C1CCCN1c1cccc(Cl)c1', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Brc1ccc2nccnc2c1']; ['OB(O)c1ccc2nccnc2c1', 'O=C1CCCN1c1cccc(Br)c1', 'Ic1ccc2nccnc2c1', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Cl)c1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999735355377197, 0.9999692440032959, 0.9999136328697205, 0.9998961687088013, 0.9997357130050659, 0.9995206594467163, 0.9986957907676697, 0.9670266509056091]
+Cc1cc(-c2ccc3nccnc3c2)cc(C)c1OCCO; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3ccc4nccnc4c3)cc2)n1C; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3nccnc3c2)c(Cl)c1; [None]; [None]; [0]
+OCCc1ccc(-c2ccc3nccnc3c2)cc1; ['Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'OB(O)c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Br[Mg]c1ccc2nccnc2c1']; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Ic1ccc2nccnc2c1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(B(O)O)cc1', 'Clc1ccc2nccnc2c1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(Cl)cc1', 'OCCc1ccc(Cl)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(Cl)cc1']; [0.9999985694885254, 0.9999883770942688, 0.9999814033508301, 0.9999754428863525, 0.9999504089355469, 0.999923825263977, 0.9998124837875366, 0.9997968673706055, 0.9997608661651611, 0.9995543956756592, 0.9975638389587402, 0.9967325925827026, 0.9966205358505249, 0.9952073693275452, 0.9856675863265991, 0.9599894285202026, 0.9075207710266113, 0.8999454975128174]
+Cc1cc(N2CCOCC2)ccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1ccc2nccnc2c1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1Br', 'Brc1ccc2nccnc2c1', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['COc1cc(S(C)(=O)=O)ccc1Br', 'OB(O)c1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'COc1cc(S(C)(=O)=O)ccc1Br', 'c1ccc2nccnc2c1']; [0.999997615814209, 0.999994158744812, 0.9999914169311523, 0.998428463935852, 0.8861923217773438]
+CNC(=O)c1ccc(-c2ccc3nccnc3c2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Brc1ccc2nccnc2c1']; ['OB(O)c1ccc2nccnc2c1', 'CNC(=O)c1ccc(Br)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; [0.9999978542327881, 0.9999958872795105, 0.999990701675415, 0.9999815821647644, 0.9996519684791565, 0.996015727519989]
+Fc1ccc(Nc2ccc3nccnc3c2)nc1; ['Fc1ccc(Br)nc1', 'Fc1ccc(Cl)nc1', 'Fc1ccc(I)nc1', 'Nc1ccc(F)cn1', 'Ic1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1', 'Fc1ccc(F)nc1', 'Clc1ccc2nccnc2c1', 'Fc1ccc2nccnc2c1']; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc2nccnc2c1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1']; [0.9999831914901733, 0.9999827146530151, 0.9997808933258057, 0.999748945236206, 0.9994159936904907, 0.9991327524185181, 0.997418224811554, 0.9782208800315857, 0.9034414291381836]
+CCNC(=O)c1ccc(-c2ccc3nccnc3c2)cc1; ['CCNC(=O)c1ccc(I)cc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CCNC(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2nccnc2c1', 'CCNC(=O)c1ccc(Br)cc1', 'Br[Mg]c1ccc2nccnc2c1', 'Brc1ccc2nccnc2c1']; ['OB(O)c1ccc2nccnc2c1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(I)cc1', 'Ic1ccc2nccnc2c1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1', 'CCNC(=O)c1ccc(I)cc1', 'Ic1ccc2nccnc2c1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(Br)cc1']; [0.999994158744812, 0.9999938011169434, 0.9999919533729553, 0.999991238117218, 0.9999878406524658, 0.9999752044677734, 0.9999392032623291, 0.9997286796569824, 0.9995281100273132, 0.9953192472457886, 0.9947974681854248]
 COc1cc(-c2cnn(C)c2)ccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
-Cc1cc(Nc2ccc3nccnc3c2)ncc1F; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccc3nccnc3c2)cc1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CCNC(=O)Cc1ccc(Br)cc1', 'Brc1ccc2nccnc2c1']; ['CCNC(=O)Cc1ccc(Br)cc1', 'OB(O)c1ccc2nccnc2c1', 'CCNC(=O)Cc1ccc(Br)cc1']; [0.9999948143959045, 0.9999243021011353, 0.9927421808242798]
+CN(C)C(=O)c1ccc(-c2ccc3nccnc3c2)nc1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'Brc1ccc2nccnc2c1', 'CN(C)C(=O)c1cccnc1']; ['CN(C)C(=O)c1ccc(Br)nc1', 'OB(O)c1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1', 'OB(O)c1ccc2nccnc2c1']; [0.9999997615814209, 0.9999995231628418, 0.9999990463256836, 0.9999986886978149, 0.9998295307159424, 0.7709331512451172]
+Cc1cc(Nc2ccc3nccnc3c2)ncc1F; ['Cc1cc(Br)ncc1F', 'Cc1cc(Cl)ncc1F', 'Brc1ccc2nccnc2c1', 'Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F']; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Cc1cc(N)ncc1F', 'Ic1ccc2nccnc2c1', 'Clc1ccc2nccnc2c1']; [0.9999760389328003, 0.9999454021453857, 0.9987615346908569, 0.9971824884414673, 0.9809502363204956]
+c1ccc(Nc2ccc3nccnc3c2)nc1; ['Clc1ccccn1', 'Brc1ccccn1', 'Fc1ccccn1', 'Ic1ccccn1', 'Nc1ccccn1', 'Brc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Ic1ccc2nccnc2c1', 'CS(=O)(=O)c1ccccn1', '[N-]=[N+]=Nc1ccccn1', 'Clc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Fc1ccc2nccnc2c1']; ['Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'Nc1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'Nc1ccccn1', 'O=S(=O)(Oc1ccccn1)C(F)(F)F', 'Nc1ccccn1', 'Nc1ccc2nccnc2c1', 'c1ccc2nccnc2c1', 'Nc1ccccn1', 'Nc1ccccn1', 'Nc1ccccn1']; [0.9999198317527771, 0.9997217655181885, 0.9991723299026489, 0.9987365007400513, 0.9984263181686401, 0.997766375541687, 0.9970807433128357, 0.9944837093353271, 0.9873672723770142, 0.9622639417648315, 0.9594231247901917, 0.9347097873687744, 0.9062010049819946]
+CS(=O)(=O)c1ccc(Cl)c(-c2ccc3nccnc3c2)c1; ['CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CC1(C)OB(c2ccc3nccnc3c2)OC1(C)C', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Cl)c1', 'Brc1ccc2nccnc2c1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'OB(O)c1ccc2nccnc2c1', 'CS(=O)(=O)c1ccc(Cl)c(Cl)c1', 'Ic1ccc2nccnc2c1', 'OB(O)c1ccc2nccnc2c1', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1']; [0.9999994039535522, 0.9999816417694092, 0.9999212622642517, 0.9999128580093384, 0.9984540343284607, 0.9901024103164673]
+COc1cc(N2CCNCC2)ccc1-c1ccc2nccnc2c1; [None]; [None]; [0]
 Cn1nc(-c2ccc3nccnc3c2)cc1C(C)(C)O; [None]; [None]; [0]
+CCOc1ccc(Nc2ccc(C)cn2)cc1; ['CCOc1ccc(N)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(F)cc1', 'CCOc1ccc(Cl)cc1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9995472431182861, 0.9990628361701965, 0.9990603923797607, 0.9983240962028503, 0.9958853125572205, 0.9910844564437866, 0.9886512160301208, 0.9858583807945251, 0.9681113362312317]
+CC(=O)N(C)c1ccc(Nc2ccc(C)cn2)cc1; ['CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.999477744102478, 0.9992291927337646, 0.9990065097808838, 0.9851629734039307]
+Cc1ccc(Nc2cccc(S(C)(=O)=O)c2)nc1; ['CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(N)c1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1']; [0.9999676942825317, 0.9998974800109863, 0.9995328187942505, 0.9991096258163452]
+Cc1ccc(Nc2ncc3ccccc3n2)nc1; ['Cc1ccc(N)nc1', 'Brc1ncc2ccccc2n1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1']; ['Clc1ncc2ccccc2n1', 'Cc1ccc(N)nc1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1']; [0.999886155128479, 0.9998775720596313, 0.9998241662979126, 0.9997190833091736]
+COc1ncccc1Nc1ccc(C)cn1; ['COc1ncccc1N', 'COc1ncccc1I', 'COc1ncccc1N', 'COc1ncccc1N', 'COc1ncccc1Br', 'COc1ncccc1N', 'COc1ncccc1Cl', 'COc1ncccc1F', 'COc1ncccc1B(O)O']; ['Cc1ccc(I)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9979283809661865, 0.9966608285903931, 0.9964776039123535, 0.994842529296875, 0.9948069453239441, 0.994476318359375, 0.9883747100830078, 0.9714195132255554, 0.9537925720214844]
+Cc1ccc(Nc2cnc3cccnn23)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1']; ['Nc1cnc2cccnn12', 'Nc1cnc2cccnn12']; [0.9999735951423645, 0.9999731779098511]
+COc1cc(Nc2ccc(C)cn2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9997190237045288, 0.9996194839477539, 0.9952265024185181, 0.9950335025787354, 0.9894018173217773]
+Cc1ccc(Nn2cnc3ccc(C)cc32)nc1; [None]; [None]; [0]
+COc1ccc(Nc2ccc(C)cn2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(N)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(F)cc1', 'COc1ccc(Cl)cc1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9983111619949341, 0.9975830316543579, 0.9971987009048462, 0.9965330362319946, 0.9925631880760193, 0.9893025159835815, 0.9830549955368042, 0.9825018644332886, 0.9747114181518555, 0.9683762788772583]
+Cc1ccc(Nc2cccc(O)c2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; ['Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1', 'Nc1cccc(O)c1', 'Oc1cccc(F)c1']; [0.9972357153892517, 0.9968416690826416, 0.9959477186203003, 0.9877686500549316, 0.9836851358413696, 0.9793112277984619, 0.9742168188095093, 0.9639114141464233, 0.9469488859176636]
+Cc1ccc(Nc2ccc(N3CCOCC3)cc2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Brc1ccc(N2CCOCC2)cc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Cc1ccc(N)nc1', 'Clc1ccc(N2CCOCC2)cc1']; [0.9998886585235596, 0.9996607303619385, 0.9996055364608765, 0.9989793300628662, 0.9966552257537842, 0.9948366284370422]
+CNC(=O)c1ccc(C)c(-c2ccc3nccnc3c2)c1; [None]; [None]; [0]
+Cc1ccc(Nc2cc(C#N)ccc2O)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1']; ['N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(F)c1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(N)c1']; [0.9982712864875793, 0.9962284564971924, 0.9950922727584839, 0.9946147203445435, 0.9924103021621704, 0.987406849861145, 0.985192596912384, 0.9669493436813354]
+Cc1ccc(C(=O)NCCO)cc1-c1ccc2nccnc2c1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc(C(=O)[O-])cc2)nc1; ['Cc1ccc(F)nc1', 'Cc1ccc(Cl)nc1']; ['Nc1ccc(C(=O)[O-])cc1', 'Nc1ccc(C(=O)[O-])cc1']; [0.8813692331314087, 0.8054020404815674]
+Cc1ccc(Nc2cccc(NC(=O)C3CC3)c2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.9998948574066162, 0.9985139966011047, 0.9847854375839233, 0.9766064882278442]
+Cc1ccc(Nc2nccc3ccccc23)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Brc1nccc2ccccc12', 'Cc1ccc(F)nc1']; ['Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Clc1nccc2ccccc12', 'Cc1ccc(N)nc1', 'Nc1nccc2ccccc12']; [0.9997328519821167, 0.9992905259132385, 0.998214602470398, 0.9974586367607117, 0.9955204725265503]
+Cc1ccc(Nc2ccc(C(N)=O)cc2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1']; ['NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(I)cc1']; [0.9998458623886108, 0.9992822408676147, 0.9928315877914429]
+Cc1ccc(Nc2nc3ccccc3[nH]2)nc1; ['Brc1nc2ccccc2[nH]1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'CSc1nc2ccccc2[nH]1', 'Cc1ccc(Br)nc1']; ['Cc1ccc(N)nc1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Cc1ccc(N)nc1', 'Nc1nc2ccccc2[nH]1']; [0.9848473072052002, 0.9819985628128052, 0.9753016233444214, 0.9719992280006409, 0.9488464593887329, 0.9293634295463562]
 Cc1ccc(Nc2sc(C(C)(C)O)nc2C)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc(C(=O)Nc3ccccc3)cc2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1']; [0.9994760751724243, 0.9993025064468384, 0.9912156462669373, 0.9907720685005188, 0.8169330358505249]
+Cc1ccc(Nc2cccc(C3CCNCC3)c2)nc1; ['Cc1ccc(Cl)nc1']; ['Nc1cccc(C2CCNCC2)c1']; [0.9988380670547485]
+Cc1ccc(Nc2ccc(OCCO)cc2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'OCCOc1ccc(Cl)cc1']; [0.9983647465705872, 0.997952938079834, 0.8910000920295715]
+Cc1ccc(NNc2ncccn2)nc1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3ccc(C)cn3)cc2)CC1; [None]; [None]; [0]
-Cc1ccc(Nc2ccc3c(c2)CS(=O)(=O)C3)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(C(C)C)nc(N)n2)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc(C(=O)N3CCOCC3)cc2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1']; [0.999976396560669, 0.9999393224716187, 0.9997637271881104, 0.9993678331375122, 0.9993389248847961, 0.9915011525154114]
+Cc1ccc(Nc2ccc(C(=O)N3CCOCC3)cn2)nc1; ['Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cn1', 'Nc1ccc(C(=O)N2CCOCC2)cn1']; [0.9998776912689209, 0.9998776912689209, 0.9996343851089478]
+CNS(=O)(=O)c1ccc(Nc2ccc(C)cn2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(F)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9988929033279419, 0.9976553916931152, 0.9941989183425903, 0.9850814342498779, 0.9838117957115173, 0.9583654403686523]
+CC(=O)NCc1ccc(Nc2ccc(C)cn2)cc1; ['CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1']; [0.9998791813850403, 0.9997496604919434, 0.9966415166854858]
+Cc1ccc(Nc2ccc(C(F)(F)F)cc2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(C(F)(F)F)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'Fc1ccc(C(F)(F)F)cc1']; [0.9987741708755493, 0.9970086812973022, 0.9968996047973633, 0.991213321685791, 0.9907384514808655, 0.9815168380737305, 0.9499551057815552, 0.9174360036849976]
+Cc1ccc(NCc2ccccc2O)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; ['NCc1ccccc1O', 'NCc1ccccc1O', 'NCc1ccccc1O', 'O=Cc1ccccc1O']; [0.9974846839904785, 0.9967614412307739, 0.9549604654312134, 0.9535694122314453]
+Cc1ccc(Nc2ccc3c(c2)CS(=O)(=O)C3)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Nc1ccc2c(c1)CS(=O)(=O)C2']; [0.9998309016227722, 0.9995894432067871, 0.9994533061981201, 0.9979651570320129, 0.9941345453262329]
+Cc1ccc(Nc2ccc(S(=O)(=O)N(C)C)cc2)nc1; ['CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(F)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9997560977935791, 0.9993898868560791, 0.9989489316940308, 0.9970520734786987, 0.9951781034469604, 0.994674801826477]
+Cc1ccc(Nc2ccc(N(C)C)cc2)nc1; ['CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(F)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(Cl)cc1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9994046688079834, 0.9974526762962341, 0.9974162578582764, 0.994986891746521, 0.9916121959686279, 0.9911432266235352, 0.9874809384346008, 0.983497679233551, 0.9620588421821594]
+Cc1ccc(Nc2ccc(OC[C@H](C)O)cc2)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc(OC[C@@H](C)O)cc2)nc1; [None]; [None]; [0]
+Cc1ccc(NCc2cnc(N)nc2)nc1; ['Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ncc(CO)cn1', 'Nc1ncc(C=O)cn1']; [0.9329190254211426, 0.8619292974472046]
+Cc1ccc(Nc2cnn(Cc3cccc(C#N)c3)c2)nc1; [None]; [None]; [0]
+Cc1ccc(NC2CCN(S(C)(=O)=O)CC2)nc1; ['CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(=O)CC1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9999712109565735, 0.9999606609344482, 0.9998328685760498, 0.9996510744094849]
+Cc1ccc(Nc2sc(C)nc2C)nc1; [None]; [None]; [0]
+Cc1ccc(N[C@H]2CCN(C(=O)c3ccccc3)C2)nc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(Nc2ccc(C)cn2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(F)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9958304166793823, 0.9926179647445679, 0.9886755347251892, 0.9843312501907349, 0.9762307405471802, 0.9583426713943481]
+Cc1ccc(Nc2cc(C(C)C)nc(N)n2)nc1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Cc1ccc(N)nc1']; [0.9719814658164978]
+Cc1ccc(Nc2ccc(Br)cc2)nc1; ['Cc1ccc(I)nc1', 'Cc1ccc(Cl)nc1', 'Brc1ccc(I)cc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Brc1ccc(Br)cc1']; ['Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Cc1ccc(N)nc1', 'Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Fc1ccc(Br)cc1', 'Clc1ccc(Br)cc1', 'Cc1ccc(N)nc1']; [0.9991713762283325, 0.9983406662940979, 0.9914131164550781, 0.9876875877380371, 0.986966609954834, 0.9801141619682312, 0.9312636852264404, 0.9298430681228638, 0.8526816368103027]
+CCCOc1ccc(Nc2ccc(C)cn2)nc1; ['CCCOc1ccc(Br)nc1']; ['Cc1ccc(N)nc1']; [0.9929183125495911]
+Cc1ccc(Nc2ccc(N(C)C)c(Cl)c2)nc1; ['CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(N)cc1Cl']; ['Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1']; [0.9996669292449951, 0.9979840517044067, 0.9895315170288086, 0.9797908067703247]
+COc1ccc(CNc2ccc(C)cn2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(O)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc[n+]([O-])c1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9993316531181335, 0.9991964101791382, 0.9991630911827087, 0.9989237785339355, 0.998812735080719, 0.998560905456543, 0.9983938932418823, 0.9980179667472839, 0.9978545308113098, 0.9672533273696899]
+Cc1ccc(Nc2cccc(C(=O)[O-])c2C)nc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(Nc3ccc(C)cn3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2ccc(C)cn2)nc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1Nc1ccc(C)cn1; ['COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1Cl']; ['Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1']; [0.9998981356620789, 0.9995585680007935, 0.9993758201599121, 0.999374508857727, 0.9967573881149292, 0.9965463876724243]
+CCN(CC)C(=O)c1ccc(Nc2ccc(C)cn2)cc1; ['CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(F)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9998108744621277, 0.9994971752166748, 0.9974928498268127, 0.9940317273139954, 0.9936559796333313, 0.9899499416351318, 0.9867098331451416]
+Cc1ccc(Nc2ccn3nccc3n2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Brc1ccn2nccc2n1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Clc1ccn2nccc2n1', 'Cc1ccc(N)nc1', 'Nc1ccn2nccc2n1', 'O=c1ccn2nccc2[nH]1']; [0.9999438524246216, 0.999742329120636, 0.9996511340141296, 0.9995366930961609, 0.9988480806350708, 0.9975993633270264]
+CNS(=O)(=O)c1ccc(Nc2ccc(C)cn2)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9998608827590942, 0.9995325803756714]
+Cc1ccc(Nc2ccccc2-n2cccn2)nc1; ['Brc1ccccc1-n1cccn1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Cc1ccc(N)nc1', 'Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Clc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Fc1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1']; [0.9999476075172424, 0.9998594522476196, 0.999842643737793, 0.9995759129524231, 0.9993273019790649, 0.9992549419403076, 0.9981085062026978]
+Cc1ccc(Nc2c[nH]c3ccccc23)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Brc1c[nH]c2ccccc12']; ['Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Cc1ccc(N)nc1']; [0.9928170442581177, 0.9921191930770874, 0.9842404723167419, 0.9786980152130127, 0.9776310920715332, 0.9744665622711182]
+COc1cc(C(=O)N2CCOCC2)ccc1Nc1ccc(C)cn1; ['COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1']; [0.9999394416809082, 0.9999303817749023, 0.9999076128005981]
+COc1cc(OC)c(Nc2ccc(C)cn2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Cl)cc1N']; ['Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1']; [0.9990292191505432, 0.9986836910247803, 0.9986582398414612, 0.9947903156280518, 0.9797722101211548]
+CC(=O)Nc1cccc(Nc2ccc(C)cn2)c1; ['CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(F)c1', 'CC(=O)Nc1cccc(Cl)c1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9995720386505127, 0.9995430707931519, 0.9981225728988647, 0.9956762790679932, 0.9939535856246948, 0.9905154705047607, 0.9852945804595947, 0.9822697639465332]
+COc1cc(Nc2ccc(C)cn2)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(F)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O']; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9972425699234009, 0.9929547309875488, 0.9923492670059204, 0.9919267892837524, 0.9887524247169495, 0.9866269826889038, 0.9844262003898621, 0.8901269435882568]
+Cc1ccc(Nc2ccc3c(c2)CCO3)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Brc1ccc2c(c1)CCO2', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Cc1ccc(N)nc1', 'Ic1ccc2c(c1)CCO2', 'Fc1ccc2c(c1)CCO2', 'Clc1ccc2c(c1)CCO2']; [0.9997395277023315, 0.9997220039367676, 0.9985208511352539, 0.9981599450111389, 0.9980322122573853, 0.9920730590820312, 0.9689141511917114, 0.9522519111633301]
+Cc1ccc(Nc2cc(-c3ccccc3)[nH]n2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1']; ['Nc1cc(-c2ccccc2)[nH]n1', 'Nc1cc(-c2ccccc2)[nH]n1']; [0.9977951049804688, 0.9865164756774902]
+Cc1ccc(Nc2cccc3c2OCO3)nc1; ['Brc1cccc2c1OCO2', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1']; ['Cc1ccc(N)nc1', 'Ic1cccc2c1OCO2', 'Fc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Nc1cccc2c1OCO2']; [0.9933009147644043, 0.9928798675537109, 0.9921236038208008, 0.9920489192008972, 0.9908498525619507, 0.9900926947593689, 0.985459566116333]
+Cc1ccc(Nc2ccc(C(C)(C)C)cc2)nc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(F)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9996240735054016, 0.9995123147964478, 0.999186635017395, 0.9982032775878906, 0.9976111054420471, 0.9967020750045776, 0.9962797164916992, 0.9858589768409729, 0.9848415851593018]
+Cc1ccc(NCc2nc3ccc(F)c(F)c3[nH]2)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2cnc3ccccc3c2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Fc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Cc1ccc(N)nc1']; [0.9986610412597656, 0.9982457756996155, 0.9947786331176758, 0.9902487993240356, 0.985796332359314, 0.9382444024085999, 0.929789125919342, 0.8947832584381104, 0.7558103203773499]
+Cc1ccc(NCc2nc3c(F)c(F)ccc3[nH]2)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc(C(=O)N(C)C)cc2)nc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9996907711029053, 0.9985967874526978, 0.994498610496521, 0.993830680847168, 0.9929279088973999, 0.965658962726593]
 Cc1ccc(Nc2nc3ccc(C(C)C)cc3[nH]2)nc1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Nc1ccc(C)cn1; [None]; [None]; [0]
-Cc1ccc(Nc2cc(N)nc3[nH]ccc23)nc1; [None]; [None]; [0]
-Cc1ccc(Nc2cccc(C(=O)Nc3cn[nH]c3)c2)nc1; [None]; [None]; [0]
+Cc1ccc(NCc2nc3ccccc3[nH]2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'BrCc1nc2ccccc2[nH]1', 'Cc1ccc(F)nc1']; ['NCc1nc2ccccc2[nH]1', 'ClCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'O=Cc1nc2ccccc2[nH]1', 'Cc1ccc(N)nc1', 'NCc1nc2ccccc2[nH]1']; [0.9994479417800903, 0.9986516237258911, 0.997671902179718, 0.9897360801696777, 0.9886237382888794, 0.9878435730934143]
+Cc1ccc(Nc2ccc(C(C)(C)C)nc2)nc1; ['CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9998417496681213, 0.9984405040740967, 0.9983451962471008, 0.9979802370071411, 0.9960676431655884, 0.9959262013435364]
+Cc1ccc(Nc2csc(N)n2)nc1; ['Cc1ccc(NC(=O)CCl)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1']; ['NC(N)=S', 'Nc1csc(N)n1', 'Nc1nc(Cl)cs1']; [0.9967577457427979, 0.9934136867523193, 0.9866983890533447]
+COc1cccc(C(=O)NNc2ccc(C)cn2)c1; ['COc1cccc(C(=O)O)c1', 'COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)NN)c1']; ['Cc1ccc(NN)nc1', 'Cc1ccc(NN)nc1', 'Cc1ccc(Cl)nc1']; [0.9994257688522339, 0.9990004301071167, 0.9793568849563599]
+CC(=O)N[C@@H]1CC[C@@H](Nc2ccc(C)cn2)CC1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc(C)[nH]c2=O)nc1; ['Cc1ccc(F)nc1', 'Cc1ccc(I)c(=O)[nH]1', 'Cc1ccc(Br)nc1']; ['Cc1ccc(N)c(=O)[nH]1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)c(=O)[nH]1']; [0.9738800525665283, 0.9413121938705444, 0.9375496506690979]
+Cc1ccc(NCCCc2ccccc2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc[n+]([O-])c1', 'Cc1ccc(I)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'BrCCCc1ccccc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1cccnc1']; ['NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'ClCCCc1ccccc1', 'ICCCc1ccccc1', 'Cc1ccc(N)nc1', 'NCCCc1ccccc1', 'O=CCCc1ccccc1', 'OCCCc1ccccc1', 'NCCCc1ccccc1']; [0.9997445344924927, 0.998959481716156, 0.9983163475990295, 0.9942886829376221, 0.9939600229263306, 0.9915690422058105, 0.9910616874694824, 0.9828917384147644, 0.9753013849258423, 0.9571834802627563, 0.9318761825561523, 0.8832239508628845]
+CSc1ccc(Nc2ccc(C)cn2)cc1; ['CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9994446039199829, 0.9993294477462769, 0.9990525841712952, 0.9954208731651306, 0.992271900177002, 0.9896404147148132, 0.9836568236351013]
+Cc1ccc(Nc2cc3ccccc3s2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1']; ['Nc1cc2ccccc2s1', 'Nc1cc2ccccc2s1']; [0.9980485439300537, 0.995988130569458]
+Cc1ccc(Nc2ccn(-c3cccc(Cl)c3)n2)nc1; [None]; [None]; [0]
+CC[C@@H](CO)Nc1ccc(C)cn1; ['CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO']; ['Cc1ccc(O)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(Br)nc1']; [0.9874095320701599, 0.9810366630554199, 0.9684436917304993, 0.9596278071403503, 0.950682520866394]
+CCN1CCN(Cc2ccc(Nc3ccc(C)cn3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9983487129211426, 0.992523193359375, 0.9827560782432556, 0.9224101901054382]
+Cc1ccc(Nc2ccc(F)cc2Cl)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Fc1ccc(Cl)c(Cl)c1']; [0.9999518394470215, 0.9998109936714172, 0.9989025592803955, 0.9972226619720459, 0.9970606565475464, 0.958022952079773]
+Cc1ccc(Nc2cc(C)nc(N)n2)nc1; ['Cc1cc(Br)nc(N)n1', 'Cc1cc(N)nc(N)n1', 'Cc1cc(Cl)nc(N)n1', 'Cc1cc(N)nc(N)n1']; ['Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Br)nc1']; [0.9872851371765137, 0.9869664311408997, 0.9794107675552368, 0.9033830761909485]
+Cc1ccc(N[C@H](CO)Cc2ccccc2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(F)nc1']; ['N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1']; [0.9896530508995056, 0.9198824167251587, 0.8736392259597778, 0.8562801480293274]
+Cc1ccc(Nc2ncc(Br)cn2)nc1; ['Brc1cnc(I)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Br)nc1', 'CSc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1']; ['Cc1ccc(N)nc1', 'Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Fc1ncc(Br)cn1', 'Nc1ncc(Br)cn1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9996997117996216, 0.999687910079956, 0.9987111687660217, 0.9981233477592468, 0.9923436045646667, 0.9873921871185303, 0.9869266748428345, 0.9826062917709351, 0.9612866640090942]
+Cc1ccc(Nc2scc3c2OCCO3)nc1; [None]; [None]; [0]
+CCc1ccc(Nc2ccc(C)cn2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(Cl)cc1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9995548129081726, 0.9986791610717773, 0.9984767436981201, 0.9950260519981384, 0.9948679208755493, 0.9942960739135742, 0.9936637878417969, 0.9768974184989929]
+Cc1ccc(Nc2ccc(Cl)cc2Cl)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1', 'Nc1ccc(Cl)cc1Cl', 'Clc1ccc(I)c(Cl)c1', 'Nc1ccc(Cl)cc1Cl', 'Fc1ccc(Cl)cc1Cl', 'Clc1ccc(Cl)c(Cl)c1']; [0.9997678995132446, 0.9990785121917725, 0.9985508918762207, 0.9973378777503967, 0.9941214919090271, 0.992979884147644, 0.9081761240959167]
+COc1ccc(Nc2ccc(C)cn2)cc1OC; ['COc1ccc(N)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(F)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Cl)cc1OC']; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9997972249984741, 0.9994943737983704, 0.9994803667068481, 0.9987202286720276, 0.9980076551437378, 0.9972054958343506, 0.988822877407074, 0.9812780618667603]
+COc1cc(Nc2ccc(C)cn2)ccc1N1CCOCC1; ['COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9999809265136719, 0.9999732971191406, 0.9999033808708191, 0.9997618198394775]
+Cc1ccc(NCCCn2cncn2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1']; ['NCCCn1cncn1', 'NCCCn1cncn1', 'NCCCn1cncn1']; [0.998578667640686, 0.9967699646949768, 0.9876789450645447]
+Cc1ccc(Nc2ccc3c(c2)CCC(=O)N3)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(F)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1']; [0.9999492168426514, 0.9996707439422607, 0.9994521141052246, 0.9986633062362671, 0.9830724596977234, 0.9683001041412354, 0.9457740783691406]
+Cc1ccc(Nc2ncc3cccn3n2)nc1; ['Cc1ccc(N)nc1']; ['Clc1ncc2cccn2n1']; [0.9996321797370911]
+Cc1ccc(Nc2cc3ccccn3n2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Brc1cc2ccccn2n1']; ['Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Clc1cc2ccccn2n1', 'Cc1ccc(N)nc1']; [0.999664843082428, 0.9986405968666077, 0.9977656602859497, 0.9970424175262451, 0.9966351985931396]
+Cc1ccc(Nc2cn(C)nc2C(F)(F)F)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1']; ['Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1']; [0.9998376369476318, 0.9997832179069519, 0.9997079372406006, 0.9994699358940125, 0.9984077215194702]
+Cc1ccc(Nc2ccc(C(=O)N3CCC[C@@H]3C)cc2)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2cccc3ccc(O)cc23)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12', 'Oc1ccc2cccc(Br)c2c1', 'Oc1ccc2cccc(I)c2c1', 'Oc1ccc2cccc(Cl)c2c1', 'Oc1ccc2cccc(F)c2c1']; [0.992986798286438, 0.9895985126495361, 0.9824509620666504, 0.9813361167907715, 0.9642632007598877, 0.950412392616272]
+COc1cc(Nc2ccc(C)cn2)ccc1Cl; ['COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1']; [0.9999751448631287, 0.9996352195739746, 0.9990609884262085, 0.9990278482437134, 0.9983004331588745, 0.9977138042449951]
+Cc1ccc(Nc2ncnc3c(C)csc23)nc1; ['Cc1ccc(N)nc1']; ['Cc1csc2c(Cl)ncnc12']; [0.9999281764030457]
+Cc1ccc(Nc2ncc(Cl)cn2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'CSc1ncc(Cl)cn1', 'Cc1ccc(Cl)nc1', 'CS(=O)(=O)c1ncc(Cl)cn1', 'CS(=O)c1ncc(Cl)cn1']; ['Nc1ncc(Cl)cn1', 'Clc1cnc(I)nc1', 'Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1', 'Nc1ncc(Cl)cn1', 'Cc1ccc(N)nc1', 'Nc1ncc(Cl)cn1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9971526861190796, 0.9969158172607422, 0.9930621385574341, 0.9923697710037231, 0.987242579460144, 0.9836159944534302, 0.9782443642616272, 0.9768469333648682, 0.9605376720428467]
+COc1ccc2cccc(Nc3ccc(C)cn3)c2c1; ['COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(Br)c2c1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9998651742935181, 0.9997656345367432, 0.9997522830963135, 0.9993469715118408, 0.9950319528579712]
+COc1cc(F)c(Nc2ccc(C)cn2)cc1OC; ['COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(F)cc1OC', 'CC(=O)Nc1ccc(C)cn1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'COc1cc(F)c(Br)cc1OC']; [0.9997722506523132, 0.9996860027313232, 0.9996050596237183, 0.9986963272094727, 0.9902150630950928, 0.9894731044769287, 0.9779191017150879]
+CNC(=O)c1ccc(Nc2ccc(C)cn2)cc1; ['CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(F)cc1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9996152520179749, 0.9995349645614624, 0.9976577162742615, 0.995315432548523, 0.9947392344474792, 0.9910929203033447, 0.8968843817710876]
+COc1cc(Nc2ccc(C)cn2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9991267919540405, 0.9885752201080322, 0.92447829246521]
+CCNC(=O)c1ccc(Nc2ccc(C)cn2)nc1; ['CCNC(=O)c1ccc(Cl)nc1', 'CCNC(=O)c1ccc(Br)nc1']; ['Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9889569878578186, 0.9848843216896057]
+COc1ccc(OC)c(CNc2ccc(C)cn2)c1; ['COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CCl)c1', 'COc1ccc(OC)c(CO)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CBr)c1', 'COc1ccc(OC)c(C=O)c1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc[n+]([O-])c1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.999855637550354, 0.9993460178375244, 0.9992526769638062, 0.9988008737564087, 0.9984220266342163, 0.9957541227340698, 0.9956014752388, 0.9943984746932983, 0.9823272228240967]
+CO[C@@H]1CC[C@@H](Nc2ccc(C)cn2)CC1; ['CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc[n+]([O-])c1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1']; [0.9999909400939941, 0.9999877214431763, 0.9999635219573975, 0.999741792678833]
+Cc1ccc(Nc2cnn(CCO)c2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'OCCn1cc(I)cn1', 'OCCn1cc(Br)cn1']; [0.9999657869338989, 0.9992237091064453, 0.9972725510597229, 0.9824495315551758]
+CCNC(=O)N1CCC(Nc2ccc(C)cn2)CC1; ['CCNC(=O)N1CCC(N)CC1', 'CCNC(=O)N1CCC(N)CC1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1']; [0.9982341527938843, 0.9972683191299438]
+COc1cc(Nc2ccc(C)cn2)cc(OC)c1; ['COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(F)cc(OC)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(I)cc(OC)c1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.999556839466095, 0.9951678514480591, 0.9933197498321533, 0.9926439523696899, 0.9791347980499268, 0.9770008325576782, 0.9700002670288086, 0.8727062344551086]
 COc1cc(CS(C)(=O)=O)ccc1Nc1ccc(C)cn1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc3c(c2)CC(C)(C)O3)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc3cn[nH]c3c2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Brc1ccc2cn[nH]c2c1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Fc1ccc2cn[nH]c2c1', 'Cc1ccc(N)nc1', 'Ic1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1']; [0.999708890914917, 0.9993058443069458, 0.9990385174751282, 0.994936466217041, 0.9842225313186646, 0.9805130362510681, 0.8332056403160095]
+Cc1ccc(Nc2cccc(C(=O)Nc3cn[nH]c3)c2)nc1; [None]; [None]; [0]
+CCn1cc(Nc2ccc(C)cn2)cn1; ['CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(I)cn1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9991436004638672, 0.9990382194519043, 0.9969077706336975, 0.9698606729507446, 0.9601711630821228]
+CNC(=O)c1ccc(OC)c(Nc2ccc(C)cn2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9988943338394165, 0.9988718032836914, 0.9981660842895508, 0.9871879816055298]
+Cc1ccc(Nc2cc(N)nc3[nH]ccc23)nc1; [None]; [None]; [0]
 COc1ccc2c(c1)c(Nc1ccc(C)cn1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NNc2ccc(C)cn2)c1; [None]; [None]; [0]
-Cc1ccc(Nc2cc3ccc(C(C)(C)O)cc3[nH]2)nc1; [None]; [None]; [0]
+COc1ccc2oc(Nc3ccc(C)cn3)cc2c1; [None]; [None]; [0]
+Cc1ccc(Nc2ncc3sccc3n2)nc1; ['Cc1ccc(N)nc1']; ['Clc1ncc2sccc2n1']; [0.9998674392700195]
+Cc1ccc(Nc2cc(-c3cccnc3)ccn2)nc1; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1']; ['Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1']; [0.9951569437980652, 0.9921164512634277, 0.987445592880249]
+Cc1ccc(Nc2cn(C)nc2C(C)C)nc1; ['CC(C)c1nn(C)cc1Br']; ['Cc1ccc(N)nc1']; [0.9878928661346436]
+COc1ccc(F)c(C(=O)NNc2ccc(C)cn2)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['Cc1ccc(NN)nc1']; [0.9995534420013428]
+Cc1ccc(Nc2cc3ccccc3o2)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc(OC(F)(F)F)cc2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(I)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'Fc1ccc(OC(F)(F)F)cc1']; [0.9999626874923706, 0.9999122619628906, 0.9998016953468323, 0.9997892379760742, 0.9997501969337463, 0.9997011423110962, 0.9982918500900269, 0.9981823563575745, 0.9915633201599121]
+Cc1ccc(Nc2ccc(C[NH+](C)C)cc2)nc1; [None]; [None]; [0]
+COc1ccc2nc(Nc3ccc(C)cn3)[nH]c2c1; ['COc1ccc2nc(Cl)[nH]c2c1']; ['Cc1ccc(N)nc1']; [0.9739359021186829]
+Cc1ccc(Nc2cccc(NC(=O)N3CCCC3)c2)nc1; [None]; [None]; [0]
+CCc1cccc(Nc2ccc(C)cn2)n1; ['CCc1cccc(N)n1', 'CCc1cccc(N)n1', 'CCc1cccc(Br)n1', 'CCc1cccc(N)n1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1']; [0.9995689988136292, 0.9974323511123657, 0.9937626123428345, 0.9888070821762085]
+Cc1ccc(Nc2ccc3c(cnn3C)c2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(F)ccc21', 'Cn1ncc2cc(Cl)ccc21']; [0.9999709129333496, 0.9999634027481079, 0.9998799562454224, 0.9998557567596436, 0.9992125034332275, 0.9984666109085083, 0.9934094548225403, 0.9918489456176758]
+Cc1ccc(Nc2cn(C)c3ccccc23)nc1; [None]; [None]; [0]
 Cc1ccc(Nc2ncn3c2CCCC3)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2cc(Br)cn2C)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc(N(C)C)nc2)nc1; ['CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(F)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(Cl)cn1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1']; [0.9994915723800659, 0.9963681101799011, 0.9960712194442749, 0.9949941635131836, 0.99399733543396, 0.9900646209716797, 0.8633124828338623]
+Cc1ccc(Nc2cc(C)c(OCCO)c(C)c2)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc3c(c2)c(Cl)nn3C)nc1; [None]; [None]; [0]
+Cc1ccc(NNC(=O)c2cccc(OC(F)(F)F)c2)nc1; ['Cc1ccc(NN)nc1', 'Cc1ccc(NN)nc1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1']; [0.9999663233757019, 0.9999032020568848]
+Cc1ccc(Nc2cc3ccc(C(C)(C)O)cc3[nH]2)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc3c(C)n[nH]c3c2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(F)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; [0.9999710321426392, 0.9998922348022461, 0.9998666048049927, 0.999712347984314, 0.9996554255485535]
+Cc1ccc(Nc2ccc(CCO)cc2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(I)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Cl)cc1', 'OCCc1ccc(F)cc1']; [0.9990324974060059, 0.9988449215888977, 0.9934914112091064, 0.992031455039978, 0.9905548095703125, 0.989870548248291, 0.957425594329834, 0.879027247428894]
 CC(=O)N1CCC(n2cc(Nc3ccc(C)cn3)cn2)CC1; [None]; [None]; [0]
-Cc1ccc(NNC(=O)c2cccc(OC(F)(F)F)c2)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2cccc(N3CCCC3=O)c2)nc1; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Cl)c1']; [0.9999231100082397, 0.9999060034751892, 0.9991306066513062, 0.9908804893493652, 0.9835720062255859]
+Cc1ccc(Nc2ccc(C(=O)N(C)C)cc2Cl)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc(N3CCOCC3)cc2C)nc1; ['Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N']; ['Cc1ccc(F)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1']; [0.9999992847442627, 0.9999970197677612, 0.999987006187439]
 Cc1ccc(Nc2ccc(-c3cnc(C)n3C)cc2)nc1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1Nc1ccc(C)cn1; ['COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1N']; ['Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1']; [0.9998008012771606, 0.9996736645698547, 0.9996259212493896, 0.9994758367538452]
+COc1cc(N2CCNCC2)ccc1Nc1ccc(C)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2ccc(C)cn2)c(OC)c1; ['CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(F)nc1']; [0.9914760589599609, 0.9888160228729248, 0.9876915216445923, 0.9593673944473267]
+CCNC(=O)c1ccc(Nc2ccc(C)cn2)cc1; ['CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(I)cc1']; ['Cc1ccc(Br)nc1', 'Cc1ccc(Cl)nc1', 'Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9985383749008179, 0.9976759552955627, 0.9952213764190674, 0.9927995204925537]
 COc1cc(-c2cnn(C)c2)ccc1Nc1ccc(C)cn1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1ccc(C)cn1; [None]; [None]; [0]
+Cc1ccc(Nc2ccc(C(=O)N(C)C)cn2)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Cc1ccc(N)nc1', 'Cc1ccc(N)nc1']; [0.9954307079315186, 0.9710572361946106]
+CCNC(=O)Cc1ccc(Nc2ccc(C)cn2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Cc1ccc(N)nc1']; [0.9951021671295166]
+Cc1ccc(Nc2cc(S(C)(=O)=O)ccc2Cl)nc1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Cc1ccc(N)nc1']; [0.9996803998947144]
+CNC(=O)c1ccc(C)c(Nc2ccc(C)cn2)c1; ['CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1']; ['Cc1ccc(Cl)nc1', 'Cc1ccc(Br)nc1', 'Cc1ccc(F)nc1']; [0.998825192451477, 0.9970076084136963, 0.9941922426223755]
 Cc1ccc(Nc2cc(C(C)(C)O)n(C)n2)nc1; [None]; [None]; [0]
+Cc1ccc(N[C@H](C)CS(C)(=O)=O)nc1; [None]; [None]; [0]
+Cc1ccc(Nc2cc(C(=O)NCCO)ccc2C)nc1; [None]; [None]; [0]
+CCOc1ccc(-c2cc(CO)ncc2OC)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999963045120239, 0.9990842342376709]
+COc1cnc(CO)cc1-c1cccnc1OC; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; [0.9999892711639404, 0.9944684505462646]
+COc1cnc(CO)cc1-c1cccc(S(C)(=O)=O)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'CS(=O)(=O)c1cccc(B(O)O)c1']; [0.9999967813491821, 0.9987881183624268]
+COc1cnc(CO)cc1-c1ccc(N(C)C(C)=O)cc1; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1sc(C(C)(C)O)nc1C; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc(OC)c(OC)c(OC)c1; ['COc1cc(B(O)O)cc(OC)c1OC']; ['COc1cnc(CO)cc1Br']; [0.9989877939224243]
+COc1cnc(CO)cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cccc(O)c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1cccc(O)c1']; [0.9998376369476318, 0.9612800478935242]
+COc1ccc(-c2cc(CO)ncc2OC)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999953508377075, 0.9985052347183228]
+COc1cnc(CO)cc1-c1cnc2cccnn12; [None]; [None]; [0]
+COc1cnc(CO)cc1-n1cnc2ccc(C)cc21; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc(C#N)ccc1O; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(N2CCOCC2)cc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['COc1cnc(CO)cc1Br', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999990463256836, 0.9999265074729919, 0.9995551109313965, 0.9994534254074097, 0.9634182453155518]
+COc1cnc(CO)cc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1ccc(CC(=O)N2CCN(C(C)=O)CC2)cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(C(N)=O)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'NC(=O)c1ccc(B(O)O)cc1']; [0.999995231628418, 0.9986403584480286]
+COc1cnc(CO)cc1-c1ccc(C(=O)Nc2ccccc2)cc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.9999997019767761, 0.9996594786643982]
+COc1cnc(CO)cc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1Nc1ncccn1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cnn(Cc2cccc(C#N)c2)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(OCCO)cc1; ['COc1cnc(CO)cc1Br']; ['OCCOc1ccc(B(O)O)cc1']; [0.994235634803772]
+COc1cnc(CO)cc1-c1ccc(CNC(C)=O)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999994039535522, 0.9998019933700562, 0.7854118347167969]
+COc1cnc(CO)cc1-c1nccc2ccccc12; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(C(=O)N2CCOCC2)cc1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.9999998211860657, 0.999951958656311]
+CNS(=O)(=O)c1ccc(-c2cc(CO)ncc2OC)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999724626541138, 0.9935626983642578]
+COc1cnc(CO)cc1-c1ccc(C(F)(F)F)cc1; ['COc1cnc(CO)cc1Br']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.9996284246444702]
+COc1cnc(CO)cc1-c1ccc(N(C)C)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999966621398926, 0.999172568321228]
+COc1cnc(CO)cc1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1sc(C)nc1C; ['COc1cnc(CO)cc1Br']; ['Cc1csc(C)n1']; [0.9878538846969604]
 COc1cnc(CO)cc1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cc(C(C)C)nc(N)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(S(=O)(=O)N(C)C)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.999997615814209, 0.9959287047386169]
+COc1cnc(CO)cc1Cc1ccccc1O; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc(CO)ncc2OC)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br']; [0.9989063739776611]
+COc1cnc(CO)cc1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+COc1cnc(CO)cc1Cc1cnc(N)nc1; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1cccc(N2CCCN(C(C)=O)CC2)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(Br)cc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1ccc(Br)cc1']; [0.9999917149543762, 0.9853745698928833]
+COc1cnc(CO)cc1-c1cc(C(C)C)nc(N)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(N(C)C)c(Cl)c1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999985694885254, 0.9269426465034485]
+COc1cnc(CO)cc1-c1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc(CO)ncc2OC)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999995231628418, 0.9996821284294128]
 CCCOc1ccc(-c2cc(CO)ncc2OC)nc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(CO)ncc2OC)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9998886585235596, 0.985598623752594]
+COc1ccc(Cc2cc(CO)ncc2OC)cc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc(CO)ncc1OC; ['COc1ccc(Cl)cc1B(O)O']; ['COc1cnc(CO)cc1Br']; [0.9977338314056396]
+COc1cnc(CO)cc1-c1ccn2nccc2n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C']; ['COc1cnc(CO)cc1Br']; [0.9983605146408081]
+COc1cnc(CO)cc1-c1ccccc1-n1cccn1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc2c(c1)CCO2; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1ccc2c(c1)CCO2']; [0.999997615814209, 0.9997870922088623]
+COc1cnc(CO)cc1-c1cccc(NC(C)=O)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999918937683105, 0.9989743828773499]
+COc1cnc(CO)cc1-c1cccc2c1OCO2; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1cccc2c1OCO2']; [0.9999685287475586, 0.9908703565597534]
 COc1cnc(CO)cc1-c1nc2ccc(C(C)C)cc2[nH]1; [None]; [None]; [0]
+COc1cc(-c2cc(CO)ncc2OC)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999957084655762, 0.9993030428886414]
+COc1cc(OC)c(-c2cc(CO)ncc2OC)cc1Cl; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1scc2c1OCCO2; ['CC1(C)OB(c2scc3c2OCCO3)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'c1scc2c1OCCO2']; [0.9999172687530518, 0.999862790107727]
+COc1cnc(CO)cc1-c1ccc(C(C)(C)C)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999992847442627, 0.9993550777435303]
+COc1cnc(CO)cc1-c1cnc2ccccc2c1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'COc1cnc(CO)cc1Br', 'Brc1cnc2ccccc2c1']; ['COc1cnc(CO)cc1Br', 'OB(O)c1cnc2ccccc2c1', 'COc1cnc(CO)cc1Br']; [0.9999977350234985, 0.9994372129440308, 0.9922847747802734]
+COc1cnc(CO)cc1-c1ccc(C(C)(C)C)nc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999972581863403, 0.9995983839035034, 0.9434642195701599]
+COc1cnc(CO)cc1-c1ccc(C(=O)N(C)C)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999996423721313, 0.9997971057891846]
+COc1cnc(CO)cc1-c1csc(N)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1Cc1nc2ccc(F)c(F)c2[nH]1; [None]; [None]; [0]
+COc1cnc(CO)cc1[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
+COc1cnc(CO)cc1Cc1nc2ccccc2[nH]1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(C)[nH]c1=O; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(SC)cc1; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1']; [0.9999966621398926, 0.9978961944580078]
+COc1cnc(CO)cc1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc2ccccc2s1; ['COc1cnc(CO)cc1Br']; ['c1ccc2sccc2c1']; [0.9891437292098999]
+COc1cccc(C(=O)Nc2cc(CO)ncc2OC)c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc(CO)ncc3OC)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['COc1cnc(CO)cc1Br']; [0.9995033740997314]
+COc1cnc(CO)cc1CCCc1ccccc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc(C)nc(N)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(F)cc1Cl; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'COc1cnc(CO)cc1Br', 'COc1ccc(CO)nc1']; ['COc1cnc(CO)cc1Br', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(I)c(Cl)c1']; [0.9999994039535522, 0.999976396560669, 0.9622998237609863]
+CC[C@@H](CO)c1cc(CO)ncc1OC; [None]; [None]; [0]
+COc1ccc(-c2cc(CO)ncc2OC)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['COc1cnc(CO)cc1Br']; [0.9995397329330444]
+CCc1ccc(-c2cc(CO)ncc2OC)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999974370002747, 0.9975118637084961]
+COc1cnc(CO)cc1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc2c(c1)CCC(=O)N2; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C']; ['COc1cnc(CO)cc1Br']; [0.9999892711639404]
+COc1cnc(CO)cc1-c1ccc(Cl)cc1Cl; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9999743700027466, 0.9993737936019897]
+COc1cnc(CO)cc1-c1ncc(Br)cn1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc2ccccn2n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(N2CCOCC2)c(OC)c1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999101161956787, 0.9251965880393982]
+COc1cnc(CO)cc1-c1cn(C)nc1C(F)(F)F; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1ccc(C(F)(F)F)n1']; [0.9999980926513672, 0.9990676045417786, 0.9986263513565063]
+COc1cnc(CO)cc1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ncc2cccn2n1; [None]; [None]; [0]
+COc1cnc(CO)cc1CCCn1cncn1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cccc2ccc(O)cc12; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['COc1cnc(CO)cc1Br']; [0.9999186992645264]
+COc1cc(-c2cc(CO)ncc2OC)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999992251396179, 0.9998880624771118]
+COc1cc(F)c(-c2cc(CO)ncc2OC)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999569654464722, 0.9988085031509399]
+COc1cnc(CO)cc1-c1ncc(Cl)cn1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cc(CO)ncc3OC)c2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(CO)ncc2OC)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999987483024597, 0.998988926410675]
+COc1cnc(CO)cc1-c1cnn(CCO)c1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OCCn1cc(B(O)O)cn1']; [0.9999920129776001, 0.9991906881332397]
 COc1cnc(CO)cc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
+COc1cc(-c2cc(CO)ncc2OC)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br']; ['COc1cnc(CO)cc1Br']; [0.7812749743461609]
+COc1cnc(CO)cc1-c1ncnc2c(C)csc12; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(CO)ncc2OC)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999923706054688, 0.9964828491210938]
 COc1cnc(CO)cc1-c1cccc(C(=O)Nc2cn[nH]c2)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1[C@@H]1CC[C@@H](OC)CC1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cc(CO)ncc2OC)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cc(CO)ncc2OC)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc2cn[nH]c2c1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1ccc2cn[nH]c2c1']; [0.9999805092811584, 0.9996613264083862]
+CCNC(=O)c1ccc(-c2cc(CO)ncc2OC)nc1; [None]; [None]; [0]
+CCn1cc(-c2cc(CO)ncc2OC)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999865293502808, 0.9973570108413696]
+COc1ccc2oc(-c3cc(CO)ncc3OC)cc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc(CO)ncc2OC)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc(CO)ncc1OC)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cc(CO)ncc2OC)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cn(C)nc1C(C)C; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1ccn(C)n1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999643564224243, 0.8955010175704956]
+COc1cnc(CO)cc1-c1cc2ccccc2o1; [None]; [None]; [0]
+COc1ccc2nc(-c3cc(CO)ncc3OC)[nH]c2c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc(Br)cn1C; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ncc2sccc2n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(OC(F)(F)F)cc1; ['COc1cnc(CO)cc1Br']; ['OB(O)c1ccc(OC(F)(F)F)cc1']; [0.9999339580535889]
+COc1cnc(CO)cc1-c1cn(C)c2ccccc12; ['COc1cnc(CO)cc1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999926090240479]
+COc1cnc(CO)cc1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1cc2ccc(C(C)(C)O)cc2[nH]1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cc(CO)ncc2OC)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc2c(cnn2C)c1; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; [0.9999983906745911, 0.9999624490737915]
 COc1cnc(CO)cc1-c1ncn2c1CCCC2; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cnn(C2CCN(C(C)=O)CC2)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1NC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc(C)c(OCCO)c(C)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(N(C)C)nc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.999988317489624, 0.9994525909423828]
+CCc1cccc(-c2cc(CO)ncc2OC)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc2c(C)n[nH]c2c1; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12']; [0.9999948740005493, 0.9999455809593201]
+COc1cnc(CO)cc1-c1cnn(C2CCN(C(C)=O)CC2)c1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['COc1cnc(CO)cc1Br']; [0.9999907612800598]
+COc1cnc(CO)cc1-c1ccc2c(c1)c(Cl)nn2C; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(CCO)cc1; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1ccc(-c2cnc(C)n2C)cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1NC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(CO)ncc2OC)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['COc1cnc(CO)cc1Br']; [0.9999244213104248]
+COc1cnc(CO)cc1-c1ccc(N2CCOCC2)cc1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(CO)ncc2OC)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br']; [0.9996830821037292]
+CCNC(=O)Cc1ccc(-c2cc(CO)ncc2OC)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['COc1cnc(CO)cc1Br']; [0.7688145637512207]
 COc1cnc(CO)cc1-c1cc(C(C)(C)O)n(C)n1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc(CO)ncc1OC; ['CNC(=O)c1ccccc1B(O)O']; ['COc1cnc(CO)cc1Br']; [0.8061330318450928]
+COc1cnc(CO)cc1-c1ccc(C(=O)N(C)C)cn1; [None]; [None]; [0]
+CCOc1ccccc1-c1cc(CO)ncc1OC; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999915957450867, 0.999658465385437, 0.9926132559776306]
+COc1cnc(CO)cc1[C@H](C)CS(C)(=O)=O; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc(C(=O)NCCO)ccc1C; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccccc1-c1nnc(C)[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cc(CO)ncc2OC)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccccc1S(=O)(=O)C(C)C; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['COc1cnc(CO)cc1Br']; [0.9967023134231567]
+COc1cnc(CO)cc1CCC(C)(C)OC; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cccc(C(F)(F)F)c1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999980926513672, 0.9996448159217834]
+COc1cnc(CO)cc1-c1ccnc2ccccc12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1ccnc2ccccc12']; [0.9999932050704956, 0.9993795156478882]
+COc1cnc(CO)cc1-c1ccccc1OC(F)(F)F; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'COc1cnc(CO)cc1Br', 'COc1ccc(CO)nc1']; ['COc1cnc(CO)cc1Br', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I']; [0.999997615814209, 0.9997208118438721, 0.8709895610809326]
+COc1cnc(CO)cc1-c1ccccc1C(N)=O; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'NC(=O)c1ccccc1B(O)O']; [0.9997925758361816, 0.7949622869491577]
+COc1cnc(CO)cc1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccccc1P(C)(C)=O; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cnn(Cc2ccccc2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999977350234985, 0.998607337474823]
+COc1cnc(CO)cc1-c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+COc1cnc(CO)cc1OCC(=O)C(C)C; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['COc1cnc(CO)cc1O', 'COc1cnc(CO)cc1O']; [0.9912087917327881, 0.9573150873184204]
+COc1cnc(CO)cc1-c1cccc(NC(=O)c2ccccc2)c1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999974966049194, 0.9988888502120972]
+COc1cnc(CO)cc1-c1cc(Cl)ccc1Cl; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999717473983765, 0.9958510398864746]
+COc1cnc(CO)cc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(C)cc1Br; ['COc1cnc(CO)cc1Br']; ['Cc1ccc(B(O)O)c(Br)c1']; [0.8236628770828247]
+COc1cnc(CO)cc1-c1cnc2ccccn12; [None]; [None]; [0]
+COc1cnc(-c2cc(CO)ncc2OC)nc1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc(CO)ncc2OC)s1; ['CNc1nc(C)cs1']; ['COc1cnc(CO)cc1Br']; [0.8613971471786499]
+COc1cnc(CO)cc1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1sc(N)nc1C; ['COc1cnc(CO)cc1Br']; ['Cc1csc(N)n1']; [0.9443113803863525]
 COc1cnc(CO)cc1-n1ncc2cccc(F)c2c1=O; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1c(Cl)cccc1Cl; ['COc1cnc(CO)cc1Br']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9873889088630676]
+COc1cnc(CO)cc1-c1cccc(Br)c1; ['COc1cnc(CO)cc1Br']; ['OB(O)c1cccc(Br)c1']; [0.9767550230026245]
+COc1cnc(CO)cc1-c1c(C)nc2ccccn12; [None]; [None]; [0]
+COc1cnc(CO)cc1NCc1cccnc1; ['COc1cnc(CO)cc1Br']; ['NCc1cccnc1']; [0.9978981614112854]
+COc1cnc(CO)cc1-c1cc(C)ccc1Cl; ['COc1cnc(CO)cc1Br']; ['Cc1ccc(Cl)c(B(O)O)c1']; [0.952710747718811]
+COc1cnc(CO)cc1-c1ccnc(N)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1Nc1cccnc1; ['COc1cnc(CO)cc1Br']; ['Nc1cccnc1']; [0.9385885000228882]
+COc1cnc(CO)cc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1NC(=O)c1cccs1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc2ccccc2c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1ccc2ccccc2c1']; [0.9999974966049194, 0.9998824596405029]
+COc1cnc(CO)cc1NCCc1c[nH]cn1; ['COc1cnc(CO)cc1O', 'COc1cnc(CO)cc1Br']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9922810792922974, 0.9786362051963806]
 COc1cnc(CO)cc1-c1sc(=O)n(C)c1C; [None]; [None]; [0]
+COc1cnc(CO)cc1-n1cnc2ccccc21; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1c[nH]nc1C(F)(F)F; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cccc(F)c1C(N)=O; ['COc1cnc(CO)cc1Br']; ['NC(=O)c1c(F)cccc1Br']; [0.9600978493690491]
 COc1cnc(CO)cc1-c1cnn2ncccc12; [None]; [None]; [0]
-COc1cnc(CO)cc1Cc1ncc(C(C)(C)C)o1; [None]; [None]; [0]
-COc1cc(-c2cc(CO)ncc2OC)ccc1C(=O)[O-]; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cncc2ccccc12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'COc1cnc(CO)cc1Br', 'Brc1cncc2ccccc12']; ['COc1cnc(CO)cc1Br', 'OB(O)c1cncc2ccccc12', 'COc1cnc(CO)cc1Br']; [0.9999890923500061, 0.9941130876541138, 0.930990993976593]
+COc1cnc(CO)cc1NCCc1ccccc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(-c2cnn(C)c2)cc1; ['COc1cnc(CO)cc1Br']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [1.0]
+COc1cnc(CO)cc1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
+COc1cnc(CO)cc1NCc1ccc(Cl)cc1; ['COc1cnc(CO)cc1Br']; ['NCc1ccc(Cl)cc1']; [0.9784534573554993]
+COc1cnc(CO)cc1-c1cccc(CO)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OCc1cccc(B(O)O)c1']; [0.9999848008155823, 0.9971495866775513]
+COc1cnc(CO)cc1Nc1ccncc1; ['COc1cnc(CO)cc1Br']; ['Nc1ccncc1']; [0.8974868059158325]
+COc1cnc(CO)cc1-c1ccc(-c2cn[nH]c2)cc1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999992847442627, 0.9997764229774475]
+COc1cnc(CO)cc1-c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1ccc2c(c1)CS(=O)(=O)N2C; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cn(C(C)C)nn1; [None]; [None]; [0]
+COc1cnc(CO)cc1NCc1ccccc1F; ['COc1cnc(CO)cc1Br']; ['NCc1ccccc1F']; [0.9993230104446411]
+COc1cnc(CO)cc1-c1cn(C(C)C)nn1; ['CC(C)n1ccnn1']; ['COc1cnc(CO)cc1Br']; [0.9894194006919861]
+COc1cc(-c2cc(CO)ncc2OC)ccc1C(=O)[O-]; [None]; [None]; [0]
+CCCn1cnc(-c2cc(CO)ncc2OC)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1csc2ncncc12; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1c[nH]c(SC)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cccc(CCC#N)c1; ['COc1cnc(CO)cc1Br']; ['N#CCCc1cccc(B(O)O)c1']; [0.9981529116630554]
+COc1cnc(CO)cc1-c1cnoc1C(C)C; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cncnc1N; ['COc1cnc(CO)cc1Br']; ['Nc1ncncc1Br']; [0.9477903842926025]
 COc1cnc(CO)cc1CCc1c[nH]nn1; [None]; [None]; [0]
-COc1cnc(CO)cc1CCNC(=O)CC(C)(C)O; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc2ccccc2[nH]1; [None]; [None]; [0]
+COc1cnc(CO)cc1Oc1ccccn1; ['COc1cnc(CO)cc1O', 'COc1cnc(CO)cc1O', 'Brc1ccccn1']; ['Clc1ccccn1', 'Fc1ccccn1', 'COc1cnc(CO)cc1O']; [0.9945105314254761, 0.9627310037612915, 0.9158791899681091]
+CCC(=O)Nc1ccc(-c2cc(CO)ncc2OC)cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(F)cc1C(F)(F)F; ['COc1cnc(CO)cc1Br']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999944806098938]
+COc1cnc(CO)cc1N1CCC(S(C)(=O)=O)CC1; ['COc1cnc(CO)cc1Br']; ['CS(=O)(=O)C1CCNCC1']; [0.9982495307922363]
+CCNc1nc2ccc(-c3cc(CO)ncc3OC)cc2s1; [None]; [None]; [0]
+COc1ccc(-c2cc(CO)ncc2OC)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999992847442627, 0.9999181628227234]
 COc1cnc(CO)cc1NC(=O)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+COc1cnc(CO)cc1CCCC(N)=O; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cnn2ccccc12; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1cnn2ccccc12']; [0.9999713897705078, 0.9985288381576538]
 COc1cnc(CO)cc1OCC(C)(C)S(C)(=O)=O; [None]; [None]; [0]
+CCCn1cc(-c2cc(CO)ncc2OC)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999966621398926, 0.9992453455924988]
+COc1cnc(CO)cc1CCNC(=O)CC(C)(C)O; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cc[nH]c(=O)c1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['COc1cnc(CO)cc1Br']; [0.9999531507492065]
+COc1cnc(CO)cc1-c1cccc2c1C(=O)CC2; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1ccc(C[NH3+])c(C(F)(F)F)c1; [None]; [None]; [0]
-COc1cnc(CO)cc1O[C@H](C)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc([S@](C)=O)cc1; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; [0.9999933242797852, 0.999140739440918]
+COc1cnc(CO)cc1-c1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1O[C@H](C)c1c(Cl)cncc1Cl; ['COc1cnc(CO)cc1O']; ['C[C@@H](O)c1c(Cl)cncc1Cl']; [0.9931079745292664]
+CCNS(=O)(=O)c1ccccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
+COc1ccncc1Nc1cc(CO)ncc1OC; ['COc1ccncc1N']; ['COc1cnc(CO)cc1Br']; [0.9551812410354614]
+COc1cnc(CO)cc1Nc1cnccc1-c1ccccc1; ['COc1cnc(CO)cc1Br']; ['Nc1cnccc1-c1ccccc1']; [0.9964385032653809]
+COc1cnc(CO)cc1-c1cncc(OC(C)C)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.999982476234436, 0.9910387992858887]
+COc1cc(CCc2cc(CO)ncc2OC)cc(OC)c1; [None]; [None]; [0]
+CCN(CC)c1cc(CO)ncc1OC; [None]; [None]; [0]
+COc1cnc(CO)cc1Nc1cnc2ccccc2c1; ['COc1cnc(CO)cc1Br']; ['Nc1cnc2ccccc2c1']; [0.9904356002807617]
+COc1cnc(CO)cc1-c1c(F)cccc1OC; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999963045120239, 0.998637318611145]
+COc1cnc(CO)cc1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1cc2c(=O)[nH]cc(Br)c2s1; [None]; [None]; [0]
-COc1cnc(CO)cc1Nc1cnccc1-c1ccccc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cnc2[nH]ccc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1cnc(CO)cc1Br', 'Brc1cnc2[nH]ccc2c1']; ['COc1cnc(CO)cc1Br', 'OB(O)c1cnc2[nH]ccc2c1', 'COc1cnc(CO)cc1Br']; [0.9999995231628418, 0.9997855424880981, 0.9911816120147705]
+CNC(=O)c1c(F)cccc1-c1cc(CO)ncc1OC; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(S(=O)(=O)NC(C)(C)C)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999954700469971, 0.9978594779968262]
+COc1cnc(CO)cc1-c1ccc(S(C)(=O)=O)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999998927116394, 0.9987024068832397]
+COc1cnc(CO)cc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+COc1cnc(CO)cc1C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 COc1cnc(CO)cc1N(C)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+COc1cnc(CO)cc1-n1ccc(CO)n1; ['COc1cnc(CO)cc1Br']; ['OCc1cc[nH]n1']; [0.9506417512893677]
+COc1cnc(CO)cc1-c1c(F)cccc1Cl; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'OB(O)c1c(F)cccc1Cl']; [0.9999994039535522, 0.9999688863754272]
+COc1cnc(CO)cc1-n1cnc(CCO)c1; ['COc1cnc(CO)cc1Br']; ['OCCc1c[nH]cn1']; [0.9881982803344727]
+COc1cnc(CO)cc1-c1cc(C)nn1-c1cccc(Cl)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1N[C@@H](C)C(C)(C)O; [None]; [None]; [0]
 COc1cnc(CO)cc1N[C@@H](C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+COc1cnc(CO)cc1N[C@H](C)C(C)(C)O; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-n1ncc2ccccc21; [None]; [None]; [0]
+COc1cnc(CO)cc1-n1ncc2c(O)cccc21; [None]; [None]; [0]
+COc1ccc(-c2cc(CO)ncc2OC)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.999975323677063, 0.9985705614089966]
+COc1cnc(CO)cc1-c1ccc(C(=O)c2ccccc2)cc1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'COc1cnc(CO)cc1Br']; ['COc1cnc(CO)cc1Br', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9999988079071045, 0.9996359348297119]
+COc1cnc(CO)cc1-c1[nH]c(SC)nc1C; [None]; [None]; [0]
+COc1cnc(CO)cc1CCC(=O)NCc1ccccn1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1nncn1C(C)C; [None]; [None]; [0]
 COc1cnc(CO)cc1Cc1nnc2ccc(-c3ccccc3)nn12; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1nncn1C1CC1; [None]; [None]; [0]
 COc1cnc(CO)cc1CS(=O)(=O)NCc1ccccn1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
+CCc1cc(-c2cc(CO)ncc2OC)nc(N)n1; ['CCc1ccnc(N)n1']; ['COc1cnc(CO)cc1Br']; [0.982829213142395]
+COc1cnc(CO)cc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1nnc(N)s1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(CO)ncc2OC)nc(N)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cccc(C(C)(C)O)n1; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1cc(C(N)=O)cn1C; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1nc2ccccc2s1; [None]; [None]; [0]
 COc1cnc(CO)cc1Oc1ccc(C[NH3+])cc1F; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1ccc2c(n1)NC(=O)C(C)(C)O2; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(CO)ncc2OC)s1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cncc(N)n1; ['COc1cnc(CO)cc1Br']; ['Nc1cncc(Cl)n1']; [0.9417738914489746]
+COc1cnc(CO)cc1-c1cccc2ccsc12; ['COc1cnc(CO)cc1Br']; ['OB(O)c1cccc2ccsc12']; [0.9990901947021484]
+C[C@@H2]NC(=O)N1CCC(c2cc(CO)ncc2OC)CC1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(CO)ncc3OC)c2)cc1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1cccc2nnsc12; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ccc2c(n1)NC(=O)C(C)(C)O2; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cnc(NC(C)=O)[nH]1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc(CO)ncc1OC; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9998539686203003, 0.9950453042984009]
+COc1cnc(CO)cc1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(CO)ncc2OC)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['COc1cnc(CO)cc1Br']; [0.9978049993515015]
 COc1cnc(CO)cc1Oc1ccc(OC)c(F)c1F; [None]; [None]; [0]
-COc1cnc(CO)cc1-c1cccc(C(C)(C)O)n1; [None]; [None]; [0]
+COc1cnc(CO)cc1[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
+COc1cnc(CO)cc1-c1cccc(S(=O)(=O)N(C)C)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['COc1cnc(CO)cc1Br', 'COc1cnc(CO)cc1Br']; [0.9999980926513672, 0.994066596031189]
+COc1cnc(CO)cc1-c1cn(CCO)cn1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccnc(CO)c1; ['CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Cl', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O']; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1']; [0.9996221661567688, 0.998740553855896, 0.9986922740936279, 0.9986332654953003, 0.9928389191627502]
+CNC(=O)c1ccccc1-c1ccnc(CO)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O']; ['CNC(=O)c1ccccc1Br', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(Br)ccn1']; [0.9999963045120239, 0.999879002571106, 0.9998152256011963, 0.9992010593414307, 0.9979142546653748, 0.997745931148529]
+COc1cnc(CO)cc1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
 COc1cnc(CO)cc1-c1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
+COc1cnc(CO)cc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
+COc1cnc(CO)cc1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccnc(CO)c2)[nH]1; [None]; [None]; [0]
+COC(C)(C)CCc1ccnc(CO)c1; [None]; [None]; [0]
+CCn1cc(-c2ccnc(CO)c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1']; ['OCc1cc(Br)ccn1', 'CCn1cc(Br)cn1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1']; [0.9999960660934448, 0.9999909996986389, 0.9997305274009705, 0.999467670917511, 0.9986386895179749]
+CC(C)S(=O)(=O)c1ccccc1-c1ccnc(CO)c1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1']; [0.9999948740005493, 0.9999058842658997, 0.9995951652526855, 0.9974503517150879, 0.9849045276641846]
+CP(C)(=O)c1ccccc1-c1ccnc(CO)c1; [None]; [None]; [0]
+OCc1cc(-c2ccccc2OC(F)(F)F)ccn1; ['OB(O)c1ccccc1OC(F)(F)F']; ['OCc1cc(I)ccn1']; [0.9998337030410767]
+OCc1cc(-c2ccnc3ccccc23)ccn1; ['Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'Ic1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1']; [0.9999911189079285, 0.9999709129333496, 0.9989714622497559, 0.9980136752128601, 0.9970065355300903, 0.9938917756080627, 0.9595541954040527]
+O=C([O-])c1ccccc1-c1ccnc(CO)c1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ccnc(CO)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O']; ['NC(=O)c1ccccc1Br', 'OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(Br)ccn1']; [0.9999833106994629, 0.9999650716781616, 0.9998652935028076, 0.9984469413757324, 0.9982035756111145, 0.9949750900268555, 0.9698597192764282, 0.9524936676025391]
+OCc1cc(-c2cccc(C(F)(F)F)c2)ccn1; [None]; [None]; [0]
+OCc1cc(-c2cnn(Cc3ccccc3)c2)ccn1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'Ic1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Brc1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1']; ['OCc1cc(Br)ccn1', 'OCc1cc(I)ccn1', 'Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1']; [0.9999985098838806, 0.9999984502792358, 0.9999966025352478, 0.9999916553497314, 0.9999138116836548, 0.9998257160186768, 0.9997206330299377, 0.9989080429077148, 0.9951539039611816]
+OCc1cc(Cc2cc(F)cc(F)c2)ccn1; [None]; [None]; [0]
+OCCn1cc(-c2ccnc(CO)c2)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(I)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1']; ['OCc1cc(Br)ccn1', 'OCCn1cc(Br)cn1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1']; [0.9999951124191284, 0.9999903440475464, 0.9999867677688599, 0.9999836683273315, 0.9998536109924316, 0.9993977546691895]
+O=C(Nc1cccc(-c2ccnc(CO)c2)c1)c1ccccc1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; ['OCc1cc(Cl)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1']; [0.9999775886535645, 0.9995558261871338, 0.9990875124931335]
+Cn1cnc2ccc(-c3ccnc(CO)c3)cc2c1=O; [None]; [None]; [0]
+COc1cnc(-c2ccnc(CO)c2)nc1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C']; ['COc1cnc(Cl)nc1']; [0.9998120069503784]
+OCc1cc(-c2cnc(-c3ccccc3)[nH]2)ccn1; [None]; [None]; [0]
+CC(C)C(=O)COc1ccnc(CO)c1; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['OCc1cc(O)ccn1', 'OCc1cc(O)ccn1']; [0.9712024331092834, 0.9540293216705322]
+Cc1nc(C)c(-c2ccnc(CO)c2)s1; ['Cc1csc(C)n1']; ['OCc1cc(Br)ccn1']; [0.989840030670166]
+CC(C)(C)c1nc(-c2ccnc(CO)c2)cs1; [None]; [None]; [0]
+OCc1cc(-c2cnc3ccccn23)ccn1; ['Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Brc1cnc2ccccn12']; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9999946355819702, 0.9999335408210754, 0.9999256134033203]
+Cc1nc2ccccn2c1-c1ccnc(CO)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br']; ['Cc1nc2ccccn2c1Br', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9999123811721802, 0.9996740818023682, 0.9996154308319092]
+OCc1cc(-c2cc(Cl)ccc2Cl)ccn1; [None]; [None]; [0]
+Cc1ccc(-c2ccnc(CO)c2)c(Br)c1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccnc(CO)c2)s1; ['CNc1nc(C)cs1']; ['OCc1cc(Br)ccn1']; [0.9736939668655396]
+OCc1cc(-c2cnc3cccnn23)ccn1; ['Clc1cnc2cccnn12']; ['OCc1cc(B(O)O)ccn1']; [0.9999769926071167]
+Cc1nc(N)sc1-c1ccnc(CO)c1; ['Cc1nc(N)sc1Br', 'Cc1csc(N)n1', 'Cc1csc(N)n1']; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(I)ccn1']; [0.9999039173126221, 0.9166327714920044, 0.9067792892456055]
 O=c1c2c(F)cccc2cnn1-c1ccnc(CO)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccnc(CO)c2)c1; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1']; [0.9993299245834351, 0.9986878633499146, 0.997543215751648]
+OCc1cc(NCc2cccnc2)ccn1; ['NCc1cccnc1', 'Nc1ccnc(CO)c1', 'NCc1cccnc1', 'BrCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; ['OCc1cc(I)ccn1', 'O=Cc1cccnc1', 'OCc1cc(Cl)ccn1', 'Nc1ccnc(CO)c1', 'OCc1cc(Br)ccn1', 'OCc1cc(F)ccn1']; [0.9939627051353455, 0.9872308373451233, 0.9836009740829468, 0.9666936993598938, 0.9251037836074829, 0.9005426168441772]
+OCc1cc(-c2cccc(Cn3cncn3)c2)ccn1; ['OCc1cc(I)ccn1']; ['c1ccc(Cn2cncn2)cc1']; [0.762855589389801]
+OCc1cc(-c2c(Cl)cccc2Cl)ccn1; [None]; [None]; [0]
+Nc1nccc(-c2ccnc(CO)c2)n1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1']; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9999884366989136, 0.9999533891677856, 0.9996960163116455, 0.9993016719818115, 0.9985393285751343]
+OCc1cc(-c2cccc(Br)c2)ccn1; [None]; [None]; [0]
+OCc1cc(-c2cnn3ncccc23)ccn1; ['Brc1cnn2ncccc12']; ['OCc1cc(B(O)O)ccn1']; [0.9995824098587036]
+OCc1cc(Nc2cccnc2)ccn1; ['Nc1cccnc1', 'Clc1cccnc1', 'Brc1cccnc1', 'Nc1cccnc1']; ['OCc1cc(Cl)ccn1', 'Nc1ccnc(CO)c1', 'Nc1ccnc(CO)c1', 'OCc1cc(Br)ccn1']; [0.9924541115760803, 0.9686686992645264, 0.8938588500022888, 0.8594940900802612]
+O=C(Nc1ccnc(CO)c1)c1cccs1; ['Nc1ccnc(CO)c1', 'Nc1ccnc(CO)c1', 'COC(=O)c1cccs1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'Nc1ccnc(CO)c1']; [0.9998589754104614, 0.9997720718383789, 0.9964772462844849]
+OCc1cc(-c2ccc3ccccc3c2)ccn1; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1']; ['OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9998767375946045, 0.9994949102401733, 0.9990924596786499]
+OCc1cc(NCCc2c[nH]cn2)ccn1; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'Nc1ccnc(CO)c1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'N#CCc1c[nH]cn1']; ['Nc1ccnc(CO)c1', 'OCc1cc(Cl)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(F)ccn1', 'OCc1cc(Br)ccn1', 'OCCc1c[nH]cn1', 'OCc1cc(O)ccn1', 'O=[N+]([O-])c1ccnc(CO)c1', 'O=[N+]([O-])c1ccnc(CO)c1']; [0.9998756647109985, 0.9995782375335693, 0.999383807182312, 0.9974871873855591, 0.9972031116485596, 0.9958111047744751, 0.9720274209976196, 0.96266770362854, 0.8609095811843872]
+OCc1cc(-n2cnc3ccccc32)ccn1; ['OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(F)ccn1', 'OCc1cc(Cl)ccn1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9840783476829529, 0.9748523235321045, 0.9297845959663391, 0.8869422674179077]
+OCc1cc(-c2c[nH]nc2C(F)(F)F)ccn1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Br']; ['FC(F)(F)c1n[nH]cc1Br', 'OCc1cc(B(O)O)ccn1']; [0.9999911785125732, 0.9997822046279907]
 Cc1c(-c2ccnc(CO)c2)sc(=O)n1C; [None]; [None]; [0]
-OCc1cc(-c2cnn3ncccc23)ccn1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccnc(CO)c2)o1; [None]; [None]; [0]
+OCc1cc(NCCc2ccccc2)ccn1; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'ClCCc1ccccc1', 'BrCCc1ccccc1', 'Nc1ccnc(CO)c1']; ['OCc1cc(Cl)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(F)ccn1', 'Nc1ccnc(CO)c1', 'Nc1ccnc(CO)c1', 'O=CCc1ccccc1']; [0.9961773157119751, 0.9954720735549927, 0.9934755563735962, 0.9880555272102356, 0.9850108623504639, 0.9745734930038452, 0.9432671666145325]
+NC(=O)c1c(F)cccc1-c1ccnc(CO)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl', 'NC(=O)c1c(F)cccc1Br']; ['NC(=O)c1c(F)cccc1Br', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1']; [0.9999992251396179, 0.9999300241470337, 0.9995171427726746, 0.9898515343666077]
+OCc1cc(-c2cncc3ccccc23)ccn1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OB(O)c1cncc2ccccc12', 'Clc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Brc1cncc2ccccc12']; ['OCc1cc(I)ccn1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Ic1cncc2ccccc12', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'Clc1cncc2ccccc12', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(Br)ccn1']; [1.0, 0.9999997615814209, 0.9999983906745911, 0.9999976754188538, 0.9999938607215881, 0.9999894499778748, 0.9999850988388062, 0.9999836683273315, 0.9999080896377563, 0.9995039701461792, 0.999324381351471, 0.9980559349060059, 0.9725118279457092]
+O=C([O-])Cc1cccc(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
+OCc1cc(NCc2ccc(Cl)cc2)ccn1; ['Clc1ccc(CBr)cc1', 'ClCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'Nc1ccnc(CO)c1', 'NCc1ccc(Cl)cc1', 'Nc1ccnc(CO)c1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; ['Nc1ccnc(CO)c1', 'Nc1ccnc(CO)c1', 'OCc1cc(Br)ccn1', 'O=Cc1ccc(Cl)cc1', 'OCc1cc(I)ccn1', 'OCc1ccc(Cl)cc1', 'OCc1cc(Cl)ccn1', 'OCc1cc(F)ccn1']; [0.9997441172599792, 0.999055027961731, 0.9988198280334473, 0.9987776279449463, 0.9983876943588257, 0.9915738105773926, 0.9892407655715942, 0.9767361283302307]
+Cn1cc(-c2ccc(-c3ccnc(CO)c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccnc(CO)c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ccnc(CO)c3)cc2CS1(=O)=O; [None]; [None]; [0]
+OCc1cc(-c2ccc(-c3cn[nH]c3)cc2)ccn1; ['OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9998649954795837, 0.9996798038482666]
+Cn1ncc2cc(-c3ccnc(CO)c3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Cl)ccc21']; ['OCc1cc(Br)ccn1', 'Cn1ncc2cc(Br)ccc21', 'OCc1cc(I)ccn1', 'Cn1ncc2cc(I)ccc21', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9999998211860657, 0.9999990463256836, 0.9999988079071045, 0.9999964833259583, 0.9999960660934448, 0.9999911785125732, 0.9999898672103882, 0.9999819993972778, 0.9999476075172424, 0.9992432594299316]
+OCc1cc(NCc2ccccc2F)ccn1; ['Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'Nc1ccnc(CO)c1', 'Nc1ccnc(CO)c1', 'NCc1ccccc1F']; ['Nc1ccnc(CO)c1', 'Nc1ccnc(CO)c1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1ccccc1F', 'O=Cc1ccccc1F', 'O=[N+]([O-])c1ccnc(CO)c1']; [0.9985752105712891, 0.9981985092163086, 0.9950865507125854, 0.990807056427002, 0.9892556667327881, 0.9585871696472168, 0.9334259033203125, 0.7898065447807312]
+OCc1cc(Nc2ccncc2)ccn1; ['Nc1ccncc1', 'Nc1ccnc(CO)c1', 'Nc1ccncc1', 'Clc1ccncc1', 'Brc1ccncc1', 'Nc1ccncc1']; ['OCc1cc(B(O)O)ccn1', 'OB(O)c1ccncc1', 'OCc1cc(Cl)ccn1', 'Nc1ccnc(CO)c1', 'Nc1ccnc(CO)c1', 'OCc1cc(Br)ccn1']; [0.9962758421897888, 0.9891468286514282, 0.9889693260192871, 0.9777427315711975, 0.9285985231399536, 0.8667596578598022]
+OCc1cc(-c2cccc(O)c2)ccn1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OCc1cc(B(O)O)ccn1', 'OB(O)c1cccc(O)c1']; ['Oc1cccc(Br)c1', 'OCc1cc(Br)ccn1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'Oc1cccc(Cl)c1', 'OCc1cc(Cl)ccn1']; [0.9998927116394043, 0.9995999336242676, 0.9993918538093567, 0.9987809658050537, 0.9984994530677795, 0.9927160739898682, 0.9901654124259949, 0.9805458188056946]
+CCCn1cnc(-c2ccnc(CO)c2)n1; [None]; [None]; [0]
+CC(C)n1cc(-c2ccnc(CO)c2)nn1; ['CC(C)n1ccnn1']; ['OCc1cc(I)ccn1']; [0.9992513060569763]
+OCc1cccc(-c2ccnc(CO)c2)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(B(O)O)ccn1', None]; ['OCc1cccc(Br)c1', 'OCc1cc(Br)ccn1', 'OCc1cccc(Br)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Cl)c1', None]; [0.9999953508377075, 0.9999942779541016, 0.9996540546417236, 0.999561071395874, 0.9990440607070923, 0.9960172176361084, 0.9936363697052002, 0.9401761889457703, 0]
 COc1cc(-c2ccnc(CO)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2ccnc(CO)c2)nn1; [None]; [None]; [0]
+OCc1cc(-c2cc3ccccc3[nH]2)ccn1; ['Clc1cc2ccccc2[nH]1']; ['OCc1cc(B(O)O)ccn1']; [0.9965516328811646]
 OCc1cc(CCc2c[nH]nn2)ccn1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ccnc(CO)c1; [None]; [None]; [0]
-O=C(Nc1ccnc(CO)c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Nc1nc(-c2ccnc(CO)c2)cs1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Nc1nc(Br)cs1', 'CC(=O)c1ccnc(CO)c1', 'Nc1nc(Cl)cs1', None]; ['Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1', 'OCc1cc(B(O)O)ccn1', 'NC(N)=S', 'OCc1cc(B(O)O)ccn1', None]; [0.9999699592590332, 0.9999123215675354, 0.9998853206634521, 0.999787449836731, 0.9992759823799133, 0]
+CSc1nc(-c2ccnc(CO)c2)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
+Nc1ncncc1-c1ccnc(CO)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Nc1ncncc1Br', 'Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1Cl', 'Nc1ncncc1Br']; ['Nc1ncncc1Br', 'Nc1ncncc1I', 'Nc1ncncc1Cl', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1']; [0.9999990463256836, 0.9999984502792358, 0.9999902248382568, 0.9998456239700317, 0.9996762275695801, 0.9996601939201355, 0.9948073625564575, 0.9836785793304443]
+OCc1cc(-c2csc3ncncc23)ccn1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccnc(CO)c1; [None]; [None]; [0]
+OCc1cc(Oc2ccccn2)ccn1; ['Clc1ccccn1', 'Brc1ccccn1', 'Fc1ccccn1']; ['OCc1cc(O)ccn1', 'OCc1cc(O)ccn1', 'OCc1cc(O)ccn1']; [0.9985833168029785, 0.9812948703765869, 0.9727921485900879]
+O=C(Nc1ccnc(CO)c1)c1c(Cl)cccc1Cl; ['Nc1ccnc(CO)c1', 'Nc1ccnc(CO)c1', 'COC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'Nc1ccnc(CO)c1']; [0.9999122023582458, 0.9992636442184448, 0.9954266548156738]
+CCC(=O)Nc1ccc(-c2ccnc(CO)c2)cc1; [None]; [None]; [0]
+OCc1cc(-c2ccc(F)cc2C(F)(F)F)ccn1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccnc(CO)c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Cl)ccn1']; [0.9999679327011108, 0.9977138042449951, 0.9940415620803833, 0.9934788942337036, 0.9873844385147095]
+NC(=O)CCCc1ccnc(CO)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccnc(CO)c3)cc2s1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ccnc(CO)c2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['OCc1cc(I)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(F)ccn1']; [0.9995616674423218, 0.993059515953064, 0.9915285110473633, 0.9885742664337158]
 CC(C)(COc1ccnc(CO)c1)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ccnc(CO)c1; [None]; [None]; [0]
+COc1ccc(-c2ccnc(CO)c2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Cl)cc1Cl']; ['OCc1cc(Br)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.999997615814209, 0.9997075796127319, 0.9995344281196594, 0.9994633197784424, 0.9959806203842163, 0.9770183563232422]
+Cn1cc(-c2ccnc(CO)c2)c2ccccc21; [None]; [None]; [0]
+CCCn1cc(-c2ccnc(CO)c2)cn1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CCCn1cc(I)cn1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(Cl)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cccn1']; ['CCCn1cc(I)cn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'CCCn1cc(Br)cn1', 'OCc1cc(B(O)O)ccn1', 'CCCn1cc(Cl)cn1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Br)ccn1']; [0.9999992847442627, 0.9999989867210388, 0.9999985694885254, 0.9999972581863403, 0.999990701675415, 0.9999821186065674, 0.9999475479125977, 0.9999259114265442, 0.9998342394828796, 0.9994945526123047, 0.9993250370025635, 0.8755332231521606]
+OCc1cc(-c2cnn3ccccc23)ccn1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2ccnc(CO)c2)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ccnc(CO)c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+O=c1cc(-c2ccnc(CO)c2)cc[nH]1; ['O=c1cc(Br)cc[nH]1', 'O=c1cc(I)cc[nH]1']; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.999260425567627, 0.9989759922027588]
+O=C1CCc2cccc(-c3ccnc(CO)c3)c21; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21']; ['O=C1CCc2cccc(Br)c21', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9999996423721313, 0.9999850392341614, 0.9997885227203369]
+CC(C)(N)c1ccc(-c2ccnc(CO)c2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9999693632125854, 0.9980259537696838, 0.8709794282913208]
+CCNS(=O)(=O)c1ccccc1-c1ccnc(CO)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CCNS(=O)(=O)c1ccccc1Br']; ['CCNS(=O)(=O)c1ccccc1Br', 'OCc1cc(B(O)O)ccn1']; [0.9999956488609314, 0.9997704029083252]
+C[S@](=O)c1ccc(-c2ccnc(CO)c2)cc1; ['CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1']; [0.9997837543487549, 0.9995894432067871]
+COc1ccncc1Nc1ccnc(CO)c1; ['COc1ccncc1N', 'COc1ccncc1N']; ['OCc1cc(Cl)ccn1', 'OCc1cc(Br)ccn1']; [0.9991098046302795, 0.9958269596099854]
+CCN(CC)c1ccnc(CO)c1; ['CCNCC', None, 'CCNCC']; ['OCc1cc(Cl)ccn1', None, 'OCc1cc(Br)ccn1']; [0.9049403667449951, 0, 0.7831662893295288]
+C[C@@H](Oc1ccnc(CO)c1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['OCc1cc(O)ccn1']; [0.9571022987365723]
+OCc1cc(Nc2cnccc2-c2ccccc2)ccn1; ['Brc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; ['Nc1ccnc(CO)c1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1']; [0.9985398054122925, 0.9985126852989197, 0.9983183145523071]
+CC(C)Oc1cncc(-c2ccnc(CO)c2)c1; ['CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1']; [0.9999988079071045, 0.9999984502792358, 0.9998072385787964, 0.9990314245223999, 0.9982922673225403]
+CC(C)(C)c1ccc(-c2ccnc(CO)c2)cc1; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1']; [0.9997308850288391, 0.999690592288971, 0.9988753795623779]
+COc1cc(CCc2ccnc(CO)c2)cc(OC)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccnc(CO)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O']; ['COc1cccc(F)c1Br', 'OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Cl)ccn1']; [0.9999988079071045, 0.9999980330467224, 0.9999840259552002, 0.9998440742492676, 0.9997125267982483, 0.9990012645721436]
 O=c1[nH]cc(Br)c2sc(-c3ccnc(CO)c3)cc12; [None]; [None]; [0]
-OCc1cc(Nc2cnccc2-c2ccccc2)ccn1; [None]; [None]; [0]
+OCc1cc(Nc2cnc3ccccc3c2)ccn1; ['Clc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['Nc1ccnc(CO)c1', 'OCc1cc(Cl)ccn1', 'OCc1cc(Br)ccn1']; [0.9506289958953857, 0.9392843246459961, 0.8397166132926941]
+O=c1[nH]ccc2oc(-c3ccnc(CO)c3)cc12; [None]; [None]; [0]
+OCc1cc(-c2cnc3[nH]ccc3c2)ccn1; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1', 'Ic1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1']; [0.9999997019767761, 0.9999995231628418, 0.9999994039535522, 0.9999988079071045, 0.9999988079071045, 0.999992847442627, 0.9999150633811951, 0.9998254179954529, 0.999613881111145, 0.9994149208068848, 0.9993311166763306, 0.9992926716804504, 0.9991945624351501, 0.992598295211792]
+OCc1cc(-c2c[nH]c3cnccc23)ccn1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Brc1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12', 'Ic1c[nH]c2cnccc12']; ['Ic1c[nH]c2cnccc12', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9998853206634521, 0.9998769760131836, 0.9833506345748901, 0.9640683531761169]
+CNS(=O)(=O)c1ccc(-c2ccnc(CO)c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['OCc1cc(I)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(Br)ccn1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'OCc1cc(Cl)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1']; [0.9999940395355225, 0.9999514818191528, 0.999943733215332, 0.9997873306274414, 0.9992530345916748, 0.9989187717437744, 0.9982743263244629, 0.9936354756355286, 0.9922424554824829, 0.9862382411956787]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccnc(CO)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(Br)ccn1']; [0.9999985694885254, 0.9999920129776001, 0.9999915361404419, 0.9999299049377441, 0.9997454881668091, 0.9983872771263123, 0.9945003986358643, 0.9892812371253967]
+CC1(c2ccnc(CO)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1ccnc(CO)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Cc1cc(-c2ccnc(CO)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccnc(CO)c1; [None]; [None]; [0]
+OCc1cc(-c2ccc(N3CCOCC3)cc2)ccn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(I)ccn1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(B(O)O)ccn1', 'Ic1ccc(N2CCOCC2)cc1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'Clc1ccc(N2CCOCC2)cc1', 'OCc1cc(Cl)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Br)ccn1']; [0.9999998807907104, 0.9999998211860657, 0.9999997615814209, 0.9999994039535522, 0.999998927116394, 0.9999984502792358, 0.9999977350234985, 0.9999934434890747, 0.999991774559021, 0.9999897480010986, 0.9999868869781494, 0.9999734163284302, 0.9999632835388184, 0.9999551773071289, 0.9990526437759399]
+CS(=O)(=O)c1ccc(-c2ccnc(CO)c2)cc1; ['CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1']; [0.9999231100082397, 0.9999107122421265, 0.999793291091919]
+OCc1cc(-n2ccc(CO)n2)ccn1; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(I)ccn1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9991488456726074, 0.9964924454689026, 0.9790597558021545, 0.9366592764854431]
 C[C@H](Nc1ccnc(CO)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@H](Nc1ccnc(CO)c1)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1']; [0.9940067529678345, 0.9792708158493042, 0.9415245056152344]
+OCCc1cn(-c2ccnc(CO)c2)cn1; ['OCCc1c[nH]cn1', 'OCCc1cnc[nH]1', 'OCCc1cnc[nH]1', 'OCCc1c[nH]cn1', 'OCCc1c[nH]cn1']; ['OCc1cc(Br)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(F)ccn1']; [0.9994325637817383, 0.9993492364883423, 0.9989804029464722, 0.9988975524902344, 0.9826928973197937]
+OCc1cc(-c2c(F)cccc2Cl)ccn1; ['OB(O)c1c(F)cccc1Cl']; ['OCc1cc(I)ccn1']; [0.9999418258666992]
+C[C@@H](Nc1ccnc(CO)c1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1']; [0.9940067529678345, 0.9792708158493042, 0.9415245056152344]
+OCc1cc(-c2nc3ccc(O)cc3[nH]2)ccn1; ['Nc1ccc(O)cc1N']; ['O=Cc1ccnc(CO)c1']; [0.9944761991500854]
+COc1ccc(-c2ccnc(CO)c2)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1']; [0.9997786283493042, 0.9994708299636841, 0.9989688992500305]
+OCc1cc(-n2ncc3c(O)cccc32)ccn1; [None]; [None]; [0]
+OCc1cc(-c2ccc(-n3cncn3)cc2)ccn1; [None]; [None]; [0]
+OCc1cc(-n2ncc3ccccc32)ccn1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccnc(CO)c2)[nH]1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccnc(CO)c2)cc1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccnc(CO)c2)n1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccnc(CO)c1; [None]; [None]; [0]
+OCc1cc(-c2nncn2C2CC2)ccn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccnc(CO)c2)CC1; [None]; [None]; [0]
 OCc1cc(Cc2nnc3ccc(-c4ccccc4)nn23)ccn1; [None]; [None]; [0]
+O=C(CCc1ccnc(CO)c1)NCc1ccccn1; [None]; [None]; [0]
+Nc1nnc(-c2ccnc(CO)c2)s1; ['Nc1nnc(Br)s1']; ['OCc1cc(B(O)O)ccn1']; [0.9993471503257751]
 O=S(=O)(Cc1ccnc(CO)c1)NCc1ccccn1; [None]; [None]; [0]
+OCc1cc(-c2cn(Cc3ccccc3)nn2)ccn1; [None]; [None]; [0]
+CCc1cc(-c2ccnc(CO)c2)nc(N)n1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CCc1cc(Cl)nc(N)n1', 'CCc1ccnc(N)n1']; ['CCc1cc(Cl)nc(N)n1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1']; [0.9999828338623047, 0.9998825192451477, 0.9998618364334106]
+CNC(=O)c1ccc(-c2ccnc(CO)c2)s1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CNC(=O)c1ccc(Br)s1']; ['CNC(=O)c1ccc(Br)s1', 'OCc1cc(B(O)O)ccn1']; [0.9999874234199524, 0.9999039769172668]
+CCCCc1cc(-c2ccnc(CO)c2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ccnc(CO)c1; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2ccnc(CO)c2)c(F)c1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccnc(CO)c2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1']; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9999595880508423, 0.9997544884681702, 0.9994603395462036, 0.996105968952179]
+OCc1cc(-c2nc3ccccc3s2)ccn1; ['Nc1ccccc1S', 'Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1', 'Brc1nc2ccccc2s1']; ['O=Cc1ccnc(CO)c1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1']; [0.9999803304672241, 0.9999802708625793, 0.9995838403701782, 0.9942982196807861]
+Nc1cncc(-c2ccnc(CO)c2)n1; ['Nc1cncc(Cl)n1', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1']; ['OCc1cc(B(O)O)ccn1', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1']; [0.9999645948410034, 0.9999521374702454, 0.9999213218688965, 0.9996314644813538, 0.9913692474365234]
+OCc1cc(-c2cccc3ccsc23)ccn1; ['Brc1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1']; [0.9994814395904541, 0.9990628361701965]
 CC1(C)Oc2ccc(-c3ccnc(CO)c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccnc(CO)c3)c2)cc1; [None]; [None]; [0]
+Nc1nc(-c2ccnc(CO)c2)nc2ccccc12; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Nc1nc(Cl)nc2ccccc12']; ['Nc1nc(Cl)nc2ccccc12', 'OCc1cc(B(O)O)ccn1']; [0.9999589920043945, 0.9993190765380859]
+C[C@@H2]NC(=O)N1CCC(c2ccnc(CO)c2)CC1; [None]; [None]; [0]
+[NH3+]Cc1ccc(Oc2ccnc(CO)c2)c(F)c1; [None]; [None]; [0]
+OCc1cc(-c2ncc3ccccc3n2)ccn1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'Clc1ncc2ccccc2n1']; ['Clc1ncc2ccccc2n1', 'OCc1cc(B(O)O)ccn1']; [0.9999302625656128, 0.9974953532218933]
 OCc1cc(-c2cccc3nnsc23)ccn1; [None]; [None]; [0]
-COc1ccc(Oc2ccnc(CO)c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccnc(CO)c2)n1; [None]; [None]; [0]
+OCc1cc(-c2c[nH]c3cccnc23)ccn1; ['Brc1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12']; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'OCc1cc(B(O)O)ccn1']; [0.9999070167541504, 0.9859280586242676]
+CC(=O)Nc1ncc(-c2ccnc(CO)c2)[nH]1; [None]; [None]; [0]
+OCc1cc(-c2ncc3cc[nH]c3n2)ccn1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C']; ['Clc1ncc2cc[nH]c2n1']; [0.9999872446060181]
+COc1ccc(C#N)cc1-c1ccnc(CO)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1I']; ['COc1ccc(C#N)cc1Br', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(I)ccn1', 'OCc1ccccn1']; [0.9999986886978149, 0.9999498724937439, 0.9995410442352295, 0.9991766810417175, 0.830468475818634]
+COc1ncccc1-c1ccnc(CO)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Cl', 'COc1ncccc1Br', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['COc1ncccc1Br', 'OCc1cc(Br)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Br)ccn1']; [0.9999925494194031, 0.9999760389328003, 0.9989197254180908, 0.9982433319091797, 0.9978255033493042, 0.9971164464950562, 0.9969285130500793, 0.9437878727912903]
+OCCn1cnc(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccnc(CO)c2)c1; ['CC1(C)OB(c2ccnc(CO)c2)OC1(C)C', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['CN(C)S(=O)(=O)c1cccc(Br)c1', 'OCc1cc(Br)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(B(O)O)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1']; [0.9999910593032837, 0.9999832510948181, 0.9999827146530151, 0.9992244243621826, 0.9990208148956299, 0.9989253282546997, 0.9961168766021729]
+COc1ccc(Oc2ccnc(CO)c2)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(B(O)O)c(F)c1F', 'COc1ccc(F)c(F)c1F']; ['OCc1cc(B(O)O)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(I)ccn1', 'OCc1cc(O)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(O)ccn1', 'OCc1cc(O)ccn1']; [0.9968581199645996, 0.9967663288116455, 0.9960314035415649, 0.9942612648010254, 0.9790823459625244, 0.9760860204696655, 0.920575737953186]
+COc1ccc(OC)c(-c2ccnc(CO)c2)c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999281167984009, 0.9987658262252808, 0.9866565465927124]
+CCOc1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CCOc1ccc(N)cc1', 'CCOc1ccc(N=C=S)cc1', 'CCOc1ccc(N=C=S)cc1', 'CCOc1ccc(N=C=S)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(N=C=S)cc1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(O)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc(N)c(S)c1']; [0.9998311996459961, 0.9993336200714111, 0.9979521036148071, 0.9975323677062988, 0.9958364367485046, 0.9957926273345947, 0.9893075823783875]
+CN(C)c1cc(-c2ccnc(CO)c2)cnn1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccnc(CO)c2)CC1; [None]; [None]; [0]
+COc1ncccc1Nc1nc2ccc(C)cc2s1; ['COc1ncccc1N', 'COc1ncccc1N', 'COc1ncccc1Br', 'COc1ncccc1I']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999613761901855, 0.9999322295188904, 0.9999125003814697, 0.9998994469642639]
+Cc1ccc2nc(Nc3cccc(S(C)(=O)=O)c3)sc2c1; ['CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(N)c1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9997711181640625, 0.9996600151062012, 0.9995226263999939]
+OCc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)ccn1; ['OCc1cc(I)ccn1', 'OCc1cc(Br)ccn1', 'OCc1cc(Cl)ccn1', 'OCc1cc(F)ccn1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9998841285705566, 0.9990594387054443, 0.9940469264984131, 0.988822340965271]
 O=C(Nc1cccc(-c2ccnc(CO)c2)c1)C1CCNCC1; [None]; [None]; [0]
+COc1cc(Nc2nc3ccc(C)cc3s2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'COc1cc(N=C=S)cc(OC)c1OC', 'COc1cc(N=C=S)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N=C=S)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(N)sc2c1']; [0.999963641166687, 0.9999278783798218, 0.9998440742492676, 0.9983358383178711, 0.998140811920166, 0.9918289184570312]
+OCc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)ccn1; [None]; [None]; [0]
+Cc1ccc2nc(Nn3cnc4ccc(C)cc43)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cnc4cccnn34)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Brc1cnc2cccnn12', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Nc1cnc2cccnn12', 'Cc1ccc2nc(N)sc2c1', 'Nc1cnc2cccnn12', 'Clc1cnc2cccnn12']; [1.0, 1.0, 0.9999992251396179, 0.9999931454658508]
+COc1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['COc1ccc(N=C=S)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N=C=S)cc1', 'COc1ccc(N=C=S)cc1', 'COc1ccc(N)cc1']; ['Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9997975826263428, 0.9997768402099609, 0.9995496273040771, 0.9972740411758423, 0.9924635887145996]
+Cc1ccc2nc(Nc3cccc(NC(=O)C4CC4)c3)sc2c1; ['Cc1ccc2nc(Br)sc2c1']; ['Nc1cccc(NC(=O)C2CC2)c1']; [0.9993084073066711]
+Cc1ccc2nc(Nc3cccc(O)c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9990765452384949, 0.9968846440315247, 0.9916096925735474]
+Cc1ccc2nc(Nc3ccc(C(=O)[O-])cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.9168210029602051]
+Cc1ccc2nc(Nc3nc4ccccc4[nH]3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(N4CCOCC4)cc3)sc2c1; ['Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc(N)c(O)c1', 'Brc1ccc(N2CCOCC2)cc1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(N)sc2c1']; ['S=C=Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'S=C=Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'S=C=Nc1ccc(N2CCOCC2)cc1', 'Cc1ccc2nc(N)sc2c1', 'S=C=Nc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1']; [0.9999927282333374, 0.9999866485595703, 0.999984085559845, 0.9999433755874634, 0.9997416734695435, 0.9995516538619995, 0.9993012547492981, 0.9989273548126221]
+Cc1ccc2nc(Nc3cc(C#N)ccc3O)sc2c1; ['Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(Cl)sc2c1']; ['N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1']; [0.9836685061454773, 0.9592298269271851, 0.9545019268989563]
+Cc1ccc2nc(Nc3nccc4ccccc34)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Brc1nccc2ccccc12']; ['Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Clc1nccc2ccccc12', 'Cc1ccc2nc(N)sc2c1']; [0.9999574422836304, 0.9996019601821899, 0.9987945556640625, 0.9981274604797363]
+Cc1ccc2nc(Nc3ncc4ccccc4n3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(NNc3ncccn3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(C(N)=O)cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['NC(=O)c1ccc(N)cc1']; [0.9999717473983765]
+Cc1ccc2nc(Nc3ccc(C(=O)Nc4ccccc4)cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1']; [0.999977707862854, 0.9998441934585571]
 Cc1ccc2nc(Nc3sc(C(C)(C)O)nc3C)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(C(=O)N4CCOCC4)cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9999961853027344, 0.999987006187439, 0.9999680519104004]
+Cc1ccc2nc(Nc3ccc(C(=O)N4CCOCC4)cn3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['Nc1ccc(C(=O)N2CCOCC2)cn1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cn1']; [0.9999987483024597, 0.9999953508377075, 0.9999624490737915]
+Cc1ccc2nc(Nc3ccc(OCCO)cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'OCCOc1ccc(Br)cc1']; [0.9999776482582092, 0.999545156955719, 0.9994959831237793]
+Cc1ccc2nc(Nc3cccc(C4CCNCC4)c3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cnn(Cc4cccc(C#N)c4)c3)sc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CNS(=O)(=O)c1ccc(N=C=S)cc1', 'CNS(=O)(=O)c1ccc(N=C=S)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N=C=S)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999264478683472, 0.999873161315918, 0.999785840511322, 0.9996967911720276, 0.9989557862281799, 0.9984877109527588]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3nc4ccc(C)cc4s3)cc2)CC1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3ccc4c(c3)CS(=O)(=O)C4)sc2c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cc(C(C)C)nc(N)n3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(C(F)(F)F)cc3)sc2c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['FC(F)(F)c1ccc(N=C=S)cc1', 'FC(F)(F)c1ccc(N=C=S)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(N=C=S)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'Nc1ccc(C(F)(F)F)cc1']; [0.9999916553497314, 0.9999915361404419, 0.999936044216156, 0.9997307062149048, 0.9995765089988708, 0.9994597434997559]
+Cc1ccc2nc(Nc3ccc4c(c3)CS(=O)(=O)C4)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['Nc1ccc2c(c1)CS(=O)(=O)C2', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Nc1ccc2c(c1)CS(=O)(=O)C2']; [0.999779224395752, 0.9996366500854492, 0.9995972514152527]
+Cc1ccc2nc(Nc3ccc(N(C)C)cc3)sc2c1; ['CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N=C=S)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N=C=S)cc1', 'CN(C)c1ccc(Br)cc1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999769926071167, 0.9999239444732666, 0.999640941619873, 0.9991806745529175, 0.9939684867858887]
+CC(=O)NCc1ccc(Nc2nc3ccc(C)cc3s2)cc1; [None]; [None]; [0]
+Cc1ccc2nc(NCc3ccccc3O)sc2c1; ['Cc1ccc2nc(Cl)sc2c1']; ['NCc1ccccc1O']; [0.9996662139892578]
+Cc1ccc2nc(Nc3ccc(S(=O)(=O)N(C)C)cc3)sc2c1; ['CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.999959409236908, 0.9997272491455078, 0.9989372491836548, 0.9982007741928101]
+Cc1ccc2nc(NC3CCN(S(C)(=O)=O)CC3)sc2c1; ['CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9999542236328125, 0.9978926181793213]
+Cc1ccc2nc(Nc3ccc(OC[C@H](C)O)cc3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cc(C(C)C)nc(N)n3)sc2c1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Cc1ccc2nc(N)sc2c1']; [0.9998570084571838]
+Cc1ccc2nc(NCc3cnc(N)nc3)sc2c1; ['Cc1ccc2nc(N)sc2c1']; ['Nc1ncc(CO)cn1']; [0.9977165460586548]
+Cc1ccc2nc(Nc3sc(C)nc3C)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(OC[C@@H](C)O)cc3)sc2c1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N=C=S)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(N)sc2c1']; [0.9997384548187256, 0.9996999502182007, 0.995459258556366]
+Cc1ccc2nc(Nc3ccc(Br)cc3)sc2c1; ['Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(Br)sc2c1']; ['S=C=Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'S=C=Nc1ccc(Br)cc1', 'S=C=Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1']; [0.9999003410339355, 0.9998867511749268, 0.9972507953643799, 0.9919816851615906, 0.9792495369911194]
+Cc1ccc2nc(N[C@H]3CCN(C(=O)c4ccccc4)C3)sc2c1; [None]; [None]; [0]
+CCCOc1ccc(Nc2nc3ccc(C)cc3s2)nc1; ['CCCOc1ccc(Br)nc1']; ['Cc1ccc2nc(N)sc2c1']; [0.999694287776947]
+Cc1ccc2nc(Nc3ccc(N(C)C)c(Cl)c3)sc2c1; ['CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9996869564056396, 0.9989504814147949, 0.9989403486251831]
+Cc1ccc2nc(Nc3ccn4nccc4n3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Brc1ccn2nccc2n1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Nc1ccn2nccc2n1', 'Cc1ccc2nc(N)sc2c1', 'Nc1ccn2nccc2n1', 'Clc1ccn2nccc2n1']; [0.9999992251396179, 0.9999990463256836, 0.9999971389770508, 0.9999933838844299]
+CCN(CC)C(=O)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999078512191772, 0.9993276596069336, 0.9992584586143494]
+COc1ccc(CNc2nc3ccc(C)cc3s2)cc1; ['COc1ccc(CN=C=S)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(C=O)cc1']; ['Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999120235443115, 0.9996829032897949, 0.9985471963882446, 0.9975844621658325, 0.9907488822937012]
+CNS(=O)(=O)c1ccc(Nc2nc3ccc(C)cc3s2)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Cc1ccc2nc(N)sc2c1']; [0.9964807033538818]
+COc1ccc(Cl)cc1Nc1nc2ccc(C)cc2s1; ['COc1ccc(Cl)cc1N=C=S', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N=C=S', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N=C=S', 'COc1ccc(Cl)cc1Br']; ['Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999783039093018, 0.9999442100524902, 0.9999291896820068, 0.9999281167984009, 0.999306321144104, 0.9985592365264893]
+Cc1ccc2nc(Nc3ccccc3-n3cccn3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Brc1ccccc1-n1cccn1', 'Cc1ccc2nc(N)sc2c1']; ['Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Cc1ccc2nc(N)sc2c1', 'Clc1ccccc1-n1cccn1']; [1.0, 0.9999995231628418, 0.9999992847442627, 0.9999960660934448]
+Cc1ccc2nc(Nc3c[nH]c4ccccc34)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Brc1c[nH]c2ccccc12']; ['Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Cc1ccc2nc(N)sc2c1']; [0.9950023889541626, 0.9936133623123169, 0.9243569374084473]
+COc1cc(OC)c(Nc2nc3ccc(C)cc3s2)cc1Cl; ['COc1cc(OC)c(N=C=S)cc1Cl', 'COc1cc(OC)c(N=C=S)cc1Cl', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(N=C=S)cc1Cl', 'COc1cc(OC)c(Br)cc1Cl']; ['Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(N)sc2c1']; [0.9998862743377686, 0.9997507929801941, 0.9996743202209473, 0.9989047646522522, 0.9976097345352173, 0.9899916648864746]
+Cc1ccc2nc(Nc3ccc4c(c3)CCO4)sc2c1; ['Brc1ccc2c(c1)CCO2', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['Cc1ccc2nc(N)sc2c1', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2']; [0.999820351600647, 0.9997853636741638, 0.9996313452720642]
+CC(=O)Nc1cccc(Nc2nc3ccc(C)cc3s2)c1; ['CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9996824264526367, 0.9977738261222839, 0.9960883259773254]
+COc1cc(C(=O)N2CCOCC2)ccc1Nc1nc2ccc(C)cc2s1; ['COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9999953508377075, 0.999993622303009]
 CC(=O)N1CCCN(c2cccc(Nc3nc4ccc(C)cc4s3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2nc3ccc(C)cc3s2)nc1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cccc4c3OCO4)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Brc1cccc2c1OCO2']; ['Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Cc1ccc2nc(N)sc2c1']; [0.9937825202941895, 0.9845676422119141, 0.9609177112579346]
+COc1cc(Nc2nc3ccc(C)cc3s2)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9993752241134644, 0.9957561492919922, 0.980005145072937]
+Cc1ccc2nc(NCc3nc4c(F)c(F)ccc4[nH]3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(C(C)(C)C)cc3)sc2c1; ['CC(C)(C)c1ccc(N=C=S)cc1', 'CC(C)(C)c1ccc(N=C=S)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N=C=S)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999949932098389, 0.999993085861206, 0.9999676942825317, 0.9997982382774353, 0.9997926354408264, 0.9995004534721375]
+Cc1ccc2nc(NCc3nc4ccc(F)c(F)c4[nH]3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cccc(C(=O)[O-])c3C)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(C(C)(C)C)nc3)sc2c1; ['CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9999606013298035, 0.9997347593307495]
+Cc1ccc2nc(Nc3ccc(C(=O)N(C)C)cc3)sc2c1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.999994158744812, 0.9996563196182251, 0.99944007396698]
+Cc1ccc2nc(Nc3cnc4ccccc4c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9997525215148926, 0.9992074966430664, 0.9928520321846008]
+Cc1ccc2nc(NCc3nc4ccccc4[nH]3)sc2c1; ['Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['ClCc1nc2ccccc2[nH]1', 'O=Cc1nc2ccccc2[nH]1']; [0.9964914917945862, 0.943230152130127]
+Cc1ccc2nc(Nc3csc(N)n3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(C)[nH]c3=O)sc2c1; ['Cc1ccc(N)c(=O)[nH]1', 'Cc1ccc(N)c(=O)[nH]1', 'Cc1ccc(I)c(=O)[nH]1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9648301601409912, 0.9264845252037048, 0.8561545014381409]
+Cc1ccc2nc(NCCCc3ccccc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'BrCCCc1ccccc1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['NCCCc1ccccc1', 'NCCCc1ccccc1', 'Cc1ccc2nc(N)sc2c1', 'OCCCc1ccccc1', 'O=CCCc1ccccc1']; [0.9998562335968018, 0.9993094205856323, 0.9941102266311646, 0.9776961803436279, 0.9275532364845276]
+COc1cccc(C(=O)NNc2nc3ccc(C)cc3s2)c1; ['COc1cccc(C(=O)O)c1', 'COc1cccc(C(=O)Cl)c1']; ['Cc1ccc2nc(NN)sc2c1', 'Cc1ccc2nc(NN)sc2c1']; [0.9998321533203125, 0.9998109936714172]
+Cc1ccc2nc(Nc3ccn(-c4cccc(Cl)c4)n3)sc2c1; [None]; [None]; [0]
 Cc1ccc2nc(Nc3nc4ccc(C(C)C)cc4[nH]3)sc2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Nc1nc2ccc(C)cc2s1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cc(N)nc4[nH]ccc34)sc2c1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1Nc1nc2ccc(C)cc2s1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cc4ccccc4s3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['Nc1cc2ccccc2s1', 'Nc1cc2ccccc2s1']; [0.9963252544403076, 0.9511065483093262]
+CSc1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CSc1ccc(N=C=S)cc1', 'CSc1ccc(N=C=S)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(N=C=S)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(Br)cc1']; ['Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999641180038452, 0.9999386668205261, 0.9999070167541504, 0.9996951818466187, 0.9990637898445129, 0.9905087351799011]
+Cc1ccc2nc(Nc3scc4c3OCCO4)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cc(-c4ccccc4)[nH]n3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cc(C)nc(N)n3)sc2c1; ['Cc1cc(Cl)nc(N)n1']; ['Cc1ccc2nc(N)sc2c1']; [0.9998734593391418]
+CC[C@@H](CO)Nc1nc2ccc(C)cc2s1; ['CC[C@H](N)CO', 'CC[C@H](N)CO']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9961971044540405, 0.9886217713356018]
+Cc1ccc2nc(Nc3ncc(Br)cn3)sc2c1; ['Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['Clc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9999539852142334, 0.9992198944091797]
+Cc1ccc2nc(Nc3ccc4c(c3)CCC(=O)N4)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(Br)ccc2N1', 'Nc1ccc2c(c1)CCC(=O)N2']; [0.9997066259384155, 0.9987773299217224, 0.9986507296562195]
+Cc1ccc2nc(N[C@H](CO)Cc3ccccc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1']; [0.9997909665107727, 0.9984630346298218]
+Cc1ccc2nc(Nc3ccc(F)cc3Cl)sc2c1; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(S)c1']; ['Fc1ccc(N=C=S)c(Cl)c1', 'Fc1ccc(N=C=S)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl', 'Fc1ccc(N=C=S)c(Cl)c1']; [0.9999774694442749, 0.9999747276306152, 0.9998390674591064, 0.9997783899307251, 0.9996505975723267, 0.9969700574874878]
+CC(=O)N[C@@H]1CC[C@@H](Nc2nc3ccc(C)cc3s2)CC1; [None]; [None]; [0]
+COc1ccc(Nc2nc3ccc(C)cc3s2)cc1OC; ['COc1ccc(N=C=S)cc1OC', 'COc1ccc(N=C=S)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N=C=S)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(Br)cc1OC']; ['Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999784231185913, 0.9999703168869019, 0.999920129776001, 0.9997901916503906, 0.9994590878486633, 0.9986245036125183]
+CCc1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(N=C=S)cc1', 'CCc1ccc(N=C=S)cc1', 'CCc1ccc(N=C=S)cc1', 'CCc1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9998081922531128, 0.9997003078460693, 0.9996004104614258, 0.999541163444519, 0.9972652196884155]
+Cc1ccc2nc(Nc3ccc(Cl)cc3Cl)sc2c1; ['Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(S)c1']; ['S=C=Nc1ccc(Cl)cc1Cl', 'S=C=Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'S=C=Nc1ccc(Cl)cc1Cl']; [0.9999579191207886, 0.9998868703842163, 0.9998741149902344, 0.9993925094604492, 0.9945234656333923]
+Cc1ccc2nc(Nc3cc4ccccn4n3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Brc1cc2ccccn2n1']; ['Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Clc1cc2ccccn2n1', 'Cc1ccc2nc(N)sc2c1']; [0.9999856948852539, 0.9999213218688965, 0.9997938871383667, 0.9997089505195618]
+Cc1ccc2nc(Nc3ncc4cccn4n3)sc2c1; ['Cc1ccc2nc(N)sc2c1']; ['Clc1ncc2cccn2n1']; [0.9999964833259583]
+Cc1ccc2nc(NCCCn3cncn3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['NCCCn1cncn1', 'NCCCn1cncn1', 'OCCCn1cncn1']; [0.9999633431434631, 0.9998911619186401, 0.9656527042388916]
+Cc1ccc2nc(Nc3cn(C)nc3C(F)(F)F)sc2c1; ['Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Cl)sc2c1']; ['Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1']; [0.9999958276748657, 0.9999932050704956, 0.999975860118866]
+COc1ccc2cccc(Nc3nc4ccc(C)cc4s3)c2c1; ['COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9999446868896484, 0.9996790885925293]
+Cc1ccc2nc(Nc3cccc4ccc(O)cc34)sc2c1; ['Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(Cl)sc2c1']; ['Nc1cccc2ccc(O)cc12', 'Nc1cccc2ccc(O)cc12']; [0.9974978566169739, 0.9973554611206055]
+Cc1ccc2nc(Nc3ccc(C(=O)N4CCC[C@@H]4C)cc3)sc2c1; [None]; [None]; [0]
+COc1cc(F)c(Nc2nc3ccc(C)cc3s2)cc1OC; ['COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999884366989136, 0.9997420310974121, 0.99758380651474]
+COc1cc(Nc2nc3ccc(C)cc3s2)ccc1Cl; ['COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999022483825684, 0.9997148513793945, 0.9995627403259277]
+Cc1ccc2nc(Nc3ncnc4c(C)csc34)sc2c1; ['Cc1ccc2nc(N)sc2c1']; ['Cc1csc2c(Cl)ncnc12']; [0.9999954700469971]
+COc1cc(Nc2nc3ccc(C)cc3s2)ccc1N1CCOCC1; ['COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999896287918091, 0.9999877214431763, 0.9999055862426758]
+CCN1CCN(Cc2ccc(Nc3nc4ccc(C)cc4s3)cc2)CC1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cnn(CCO)c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'OCCn1cc(Br)cn1']; [0.9999989867210388, 0.9999775290489197, 0.9998767375946045]
+COc1cc(Nc2nc3ccc(C)cc3s2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9996891617774963, 0.8916200399398804]
+CNC(=O)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999388456344604, 0.9996528625488281, 0.999632716178894, 0.999398946762085]
+CCNC(=O)c1ccc(Nc2nc3ccc(C)cc3s2)nc1; ['CCNC(=O)c1ccc(Cl)nc1']; ['Cc1ccc2nc(N)sc2c1']; [0.9988864660263062]
+Cc1ccc2nc(Nc3cc(N)nc4[nH]ccc34)sc2c1; ['Cc1ccc2nc(N)sc2c1']; ['Nc1cc(Cl)c2cc[nH]c2n1']; [0.8982442617416382]
+COc1ccc(OC)c(CNc2nc3ccc(C)cc3s2)c1; ['COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CO)c1', 'COc1ccc(OC)c(C=O)c1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9998670816421509, 0.9992150664329529, 0.993773877620697, 0.9820062518119812]
 Cc1ccc2nc(Nc3cccc(C(=O)Nc4cn[nH]c4)c3)sc2c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](Nc2nc3ccc(C)cc3s2)CC1; ['CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9999402761459351, 0.9969562888145447]
+CCNC(=O)N1CCC(Nc2nc3ccc(C)cc3s2)CC1; ['CCNC(=O)N1CCC(N)CC1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.9999520778656006]
+COc1cc(Nc2nc3ccc(C)cc3s2)cc(OC)c1; ['COc1cc(N=C=S)cc(OC)c1', 'COc1cc(N=C=S)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(N=C=S)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1']; ['Cc1ccc(N)c(Br)c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.999963104724884, 0.9999260902404785, 0.9999253749847412, 0.9971764087677002, 0.9961932897567749, 0.9906851053237915, 0.9709243178367615]
+Cc1ccc2nc(Nc3ccc4cn[nH]c4c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc(N)c(I)c1', 'Cc1ccc2nc(Br)sc2c1', 'Brc1ccc2cn[nH]c2c1', 'Cc1ccc(N)c(S)c1']; ['Nc1ccc2cn[nH]c2c1', 'S=C=Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Cc1ccc2nc(N)sc2c1', 'S=C=Nc1ccc2cn[nH]c2c1']; [0.9999967217445374, 0.9999827146530151, 0.9999570846557617, 0.9999006986618042, 0.9996201992034912]
+Cc1ccc2nc(Nc3ccc4c(c3)CC(C)(C)O4)sc2c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(Nc1nc3ccc(C)cc3s1)cn2C; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1Nc1nc2ccc(C)cc2s1; [None]; [None]; [0]
+CCn1cc(Nc2nc3ccc(C)cc3s2)cn1; ['CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'CCn1cc(Br)cn1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999914765357971, 0.999889612197876, 0.9997599124908447]
+COc1ccc2oc(Nc3nc4ccc(C)cc4s3)cc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ncc4sccc4n3)sc2c1; ['Cc1ccc2nc(N)sc2c1']; ['Clc1ncc2sccc2n1']; [0.9999967813491821]
+Cc1ccc2nc(Nc3cc(-c4cccnc4)ccn3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1']; [0.9999860525131226, 0.9999246001243591]
+CNC(=O)c1ccc(OC)c(Nc2nc3ccc(C)cc3s2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999995231628418, 0.999997079372406, 0.9994772672653198]
+Cc1ccc2nc(Nc3cn(C)nc3C(C)C)sc2c1; ['CC(C)c1nn(C)cc1Br']; ['Cc1ccc2nc(N)sc2c1']; [0.9997822046279907]
+Cc1ccc2nc(Nc3ncc(Cl)cn3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(OC(F)(F)F)cc3)sc2c1; ['Cc1ccc(N)c(I)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc(N)c(S)c1', 'Cc1ccc2nc(N)sc2c1']; ['FC(F)(F)Oc1ccc(N=C=S)cc1', 'FC(F)(F)Oc1ccc(N=C=S)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(N=C=S)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; [0.9999991655349731, 0.9999983906745911, 0.999997079372406, 0.9999746680259705, 0.99994295835495, 0.9998973608016968]
 COc1ccc(F)c(C(=O)NNc2nc3ccc(C)cc3s2)c1; [None]; [None]; [0]
-Cc1ccc2nc(Nc3cc4ccc(C(C)(C)O)cc4[nH]3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cccc(NC(=O)N4CCCC4)c3)sc2c1; [None]; [None]; [0]
+CCc1cccc(Nc2nc3ccc(C)cc3s2)n1; ['CCc1cccc(N)n1', 'CCc1cccc(N)n1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9998551607131958, 0.999343991279602]
+Cc1ccc2nc(Nc3cn(C)c4ccccc34)sc2c1; [None]; [None]; [0]
 Cc1ccc2nc(Nc3ncn4c3CCCC4)sc2c1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(Nc3nc4ccc(C)cc4s3)cn2)CC1; [None]; [None]; [0]
-Cc1ccc2nc(NNC(=O)c3cccc(OC(F)(F)F)c3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc4c(cnn4C)c3)sc2c1; ['Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.9999971985816956, 0.9999951720237732, 0.9999765157699585]
+Cc1ccc2nc(Nc3ccc(C[NH+](C)C)cc3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(N(C)C)nc3)sc2c1; ['CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(N)cn1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9999724626541138, 0.9998488426208496, 0.9996211528778076]
+Cc1ccc2nc(Nc3cc4ccccc4o3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cc(Br)cn3C)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc4c(C)n[nH]c4c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; ['Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(N)ccc12']; [0.9999988079071045, 0.9999956488609314]
+Cc1ccc2nc(Nc3cc(C)c(OCCO)c(C)c3)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc4c(c3)c(Cl)nn4C)sc2c1; [None]; [None]; [0]
+COc1ccc2nc(Nc3nc4ccc(C)cc4s3)[nH]c2c1; [None]; [None]; [0]
+Cc1ccc2nc(NNC(=O)c3cccc(OC(F)(F)F)c3)sc2c1; ['Cc1ccc2nc(NN)sc2c1', 'Cc1ccc2nc(NN)sc2c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1']; [0.9999973773956299, 0.9999950528144836]
+Cc1ccc2nc(Nc3ccc(C(=O)N(C)C)cc3Cl)sc2c1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(CCO)cc3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(Br)cc1']; [0.9998798370361328, 0.9993307590484619, 0.9967859983444214]
 Cc1ccc2nc(Nc3ccc(-c4cnc(C)n4C)cc3)sc2c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1Nc1nc2ccc(C)cc2s1; ['COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9999957084655762, 0.9999300241470337, 0.9996234178543091]
+CC(=O)N1CCC(n2cc(Nc3nc4ccc(C)cc4s3)cn2)CC1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cccc(N4CCCC4=O)c3)sc2c1; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999817609786987, 0.9999246597290039, 0.9986415505409241]
+COc1cc(N2CCNCC2)ccc1Nc1nc2ccc(C)cc2s1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cc4ccc(C(C)(C)O)cc4[nH]3)sc2c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1Nc1nc2ccc(C)cc2s1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1nc2ccc(C)cc2s1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3ccc(N4CCOCC4)cc3C)sc2c1; ['Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9999996423721313, 0.9999852180480957]
+CNC(=O)c1ccc(Nc2nc3ccc(C)cc3s2)c(OC)c1; ['CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9998729825019836, 0.9996047019958496, 0.9995173215866089]
+CCNC(=O)c1ccc(Nc2nc3ccc(C)cc3s2)cc1; ['CCNC(=O)c1ccc(N)cc1']; ['Cc1ccc2nc(Cl)sc2c1']; [0.9998902082443237]
+CCNC(=O)Cc1ccc(Nc2nc3ccc(C)cc3s2)cc1; [None]; [None]; [0]
+Cc1ccc2nc(Nc3cc(S(C)(=O)=O)ccc3Cl)sc2c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Cc1ccc2nc(N)sc2c1']; [0.999814510345459]
+CNC(=O)c1ccccc1-c1ncc(OC)cn1; ['CNC(=O)c1ccccc1B(O)O']; ['COc1cnc(Br)nc1']; [0.9953696727752686]
+Cc1ccc2nc(Nc3cc(C(=O)NCCO)ccc3C)sc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(Nc2nc3ccc(C)cc3s2)c1; ['CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1']; ['Cc1ccc2nc(Cl)sc2c1', 'Cc1ccc2nc(Br)sc2c1']; [0.9999963641166687, 0.9999942779541016]
+Cc1ccc2nc(Nc3ccc(C(=O)N(C)C)cn3)sc2c1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Cc1ccc2nc(N)sc2c1', 'Cc1ccc2nc(N)sc2c1']; [0.9998552799224854, 0.9996019601821899]
+Cc1ccc2nc(N[C@H](C)CS(C)(=O)=O)sc2c1; [None]; [None]; [0]
+CCOc1ccccc1-c1ncc(OC)cn1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br']; ['COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; [0.9995059967041016, 0.9985122084617615, 0.9980717897415161, 0.994338870048523, 0.9798373579978943]
+COc1cnc(-c2ccccc2S(=O)(=O)C(C)C)nc1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9998019337654114, 0.9976507425308228]
+COc1cnc(Cc2cc(F)cc(F)c2)nc1; ['COc1cnc(C=O)nc1', 'COc1cnc(C)nc1']; ['Fc1cc(F)cc(Br)c1', 'Fc1cc(F)cc(Br)c1']; [0.9805305004119873, 0.7715336084365845]
+COc1cnc(-c2ccccc2P(C)(C)=O)nc1; [None]; [None]; [0]
 Cc1ccc2nc(Nc3cc(C(C)(C)O)n(C)n3)sc2c1; [None]; [None]; [0]
+CCn1cc(-c2ncc(OC)cn2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9991252422332764, 0.9986661076545715]
+COc1cnc(-c2ccnc3ccccc23)nc1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cncnc1', 'Brc1ccnc2ccccc12', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'Ic1ccnc2ccccc12', 'COc1cncnc1', 'Clc1ccnc2ccccc12']; [0.9999204874038696, 0.9997004270553589, 0.9996957778930664, 0.998963475227356, 0.9957352876663208, 0.8412677049636841, 0.8169223666191101, 0.8008863925933838]
+COc1cnc(-c2cccc(C(F)(F)F)c2)nc1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc([Mg]Br)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.9999918341636658, 0.9999716877937317, 0.9997234344482422, 0.9988194108009338, 0.9982011318206787, 0.9979158043861389, 0.9801536202430725, 0.9636701345443726]
+COc1cnc(-c2ccccc2C(=O)[O-])nc1; [None]; [None]; [0]
+COc1cnc(CCC(C)(C)OC)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccccc2OC(F)(F)F)nc1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I']; [0.9999457597732544, 0.9997556209564209, 0.9997107982635498, 0.9981529712677002, 0.9973393678665161, 0.9182486534118652]
+COc1cnc(-c2ccccc2-c2nnc(C)[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccccc2C(N)=O)nc1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1I']; [0.9991780519485474, 0.9988739490509033, 0.988018274307251, 0.9865940809249878, 0.7678921818733215]
+COc1cnc(-c2cnn(Cc3ccccc3)c2)nc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Ic1cnn(Cc2ccccc2)c1']; [0.9999109506607056, 0.9997542500495911, 0.9980697631835938, 0.9905868768692017, 0.8296376466751099]
+COc1cnc(-c2ncc(OC)cn2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(NC(=O)c3ccccc3)c2)nc1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Br)nc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999816417694092, 0.999336838722229, 0.9973185062408447]
+COc1cnc(-c2cnn(CCO)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(Cl)ccc2Cl)nc1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1']; [0.9996554851531982, 0.9981729984283447, 0.9888491630554199, 0.9783439040184021, 0.9610238075256348, 0.9473226070404053, 0.9060957431793213]
+COc1cnc(-c2ccc3ncn(C)c(=O)c3c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cnc(-c3ccccc3)[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(C)cc2Br)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; [0.9850835800170898, 0.9357277154922485]
+COc1cnc(OCC(=O)C(C)C)nc1; [None]; [None]; [0]
 COc1cnc(-n2ncc3cccc(F)c3c2=O)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnn3ncccc23)nc1; [None]; [None]; [0]
+COc1cnc(-c2sc(C)nc2C)nc1; [None]; [None]; [0]
+COc1cnc(-c2csc(C(C)(C)C)n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2c(Cl)cccc2Cl)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br']; [0.9903287887573242, 0.9399158954620361, 0.9267035722732544]
+CNc1nc(C)c(-c2ncc(OC)cn2)s1; [None]; [None]; [0]
+COc1cnc(-c2c(C)nc3ccccn23)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(Br)c2)nc1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'COc1cncnc1', 'COc1cnc(Cl)nc1']; [0.999442994594574, 0.9993536472320557, 0.9953364133834839, 0.9919993877410889, 0.9403103590011597, 0.9186431765556335]
+COc1cnc(-c2cnc3ccccn23)nc1; [None]; [None]; [0]
+COc1cnc(-c2sc(N)nc2C)nc1; [None]; [None]; [0]
+COc1cnc(-c2cnc3cccnn23)nc1; [None]; [None]; [0]
+COc1cnc(NCc2cccnc2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'BrCc1cccnc1']; ['NCc1cccnc1', 'NCc1cccnc1', 'OCc1cccnc1', 'O=Cc1cccnc1', 'COc1cnc(N)nc1']; [0.9986988306045532, 0.9977070093154907, 0.9702169895172119, 0.9361279010772705, 0.8894113302230835]
+COc1cnc(-c2cc(C)ccc2Cl)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1']; [0.9984928965568542, 0.9918813705444336, 0.9444727897644043, 0.8261319398880005]
+COc1cnc(-c2cccc(Cn3cncn3)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cnn3ncccc23)nc1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9999246597290039, 0.9992691278457642]
+COc1cnc(NC(=O)c2cccs2)nc1; ['COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9990686178207397, 0.9934217929840088]
+COc1cnc(Nc2cccnc2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'Brc1cccnc1']; ['Nc1cccnc1', 'Nc1cccnc1', 'Ic1cccnc1', 'COc1cnc(N)nc1']; [0.9990780353546143, 0.9955981969833374, 0.9925767183303833, 0.9421766996383667]
+COc1cnc(-n2cnc3ccccc32)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9999592304229736, 0.9998624324798584]
+COc1cnc(NCCc2c[nH]cn2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(N)nc1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'OCCc1c[nH]cn1']; [0.9988263249397278, 0.9962648153305054, 0.9954828023910522, 0.9405454993247986]
+COc1cnc(-c2ccc3ccccc3c2)nc1; ['COc1cnc(Br)nc1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'COc1cnc(Cl)nc1', 'Brc1ccc2ccccc2c1', 'COc1cncnc1', 'Brc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1ccc2ccccc2c1', 'COc1cnc(Cl)nc1', 'Ic1ccc2ccccc2c1', 'COc1cncnc1']; [0.9999828338623047, 0.9999663829803467, 0.9999284148216248, 0.9997855424880981, 0.9992231130599976, 0.9035471677780151, 0.9017497301101685]
+COc1cnc(-c2c[nH]nc2C(F)(F)F)nc1; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'COc1cncnc1', 'COc1cncnc1']; ['COc1cnc(Cl)nc1', 'FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I']; [0.9997649192810059, 0.9539327621459961, 0.8159332275390625]
 COc1cnc(-c2sc(=O)n(C)c2C)nc1; [None]; [None]; [0]
-COc1cnc(Cc2ncc(C(C)(C)C)o2)nc1; [None]; [None]; [0]
+COc1cnc(NCCc2ccccc2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'ClCCc1ccccc1', 'O=CCc1ccccc1', 'OCCc1ccccc1']; [0.999498724937439, 0.9988850355148315, 0.9766463041305542, 0.9457308650016785, 0.9029151797294617]
+COc1cnc(-c2ccnc(N)n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cncc3ccccc23)nc1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'Brc1cncc2ccccc12', 'COc1cncnc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'F[B-](F)(F)c1cncc2ccccc12', 'COc1cncnc1', 'Ic1cncc2ccccc12']; [0.9999450445175171, 0.9999393820762634, 0.9998066425323486, 0.9997861385345459, 0.9993876218795776, 0.9937084913253784, 0.9925293922424316, 0.9751535058021545]
+COc1cnc(-c2cccc(F)c2C(N)=O)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(-c3cnn(C)c3)cc2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [0.9999973773956299, 0.9999966621398926]
+COc1cnc(NCc2ccc(Cl)cc2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(N)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'Clc1ccc(CBr)cc1', 'O=Cc1ccc(Cl)cc1']; [0.9952973127365112, 0.9863979816436768, 0.9833959341049194, 0.9712390899658203, 0.8488886952400208]
+COc1cnc(-c2ccc3c(N)[nH]nc3c2)nc1; [None]; [None]; [0]
+CCCn1cnc(-c2ncc(OC)cn2)n1; [None]; [None]; [0]
+COc1cnc(-c2cccc(CC(=O)[O-])c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(O)c2)nc1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cncnc1', 'COc1cncnc1']; ['COc1cnc(Cl)nc1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1']; [0.9997502565383911, 0.9992886781692505, 0.9991562962532043, 0.9397826790809631, 0.7729032039642334]
+COc1cnc(-c2ccc(-c3cn[nH]c3)cc2)nc1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999756217002869, 0.9999722242355347, 0.9985229969024658, 0.997995138168335]
+COc1cnc(-c2ccc3c(cnn3C)c2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.9999980926513672, 0.9999696612358093, 0.99996417760849, 0.9999567866325378, 0.8768543004989624, 0.7551072239875793]
+COc1cnc(-c2cccc(CO)c2)nc1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1']; [0.9999156594276428, 0.9998872876167297, 0.9980822801589966, 0.9972239136695862, 0.9080531597137451]
+COc1cnc(NCc2ccccc2F)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['NCc1ccccc1F', 'NCc1ccccc1F', 'Fc1ccccc1CBr', 'O=Cc1ccccc1F', 'OCc1ccccc1F']; [0.9997812509536743, 0.9993846416473389, 0.9969387054443359, 0.9865738153457642, 0.955920398235321]
+COc1cnc(Nc2ccncc2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(N)nc1', 'Brc1cnc(Nc2ccncc2)nc1', 'COc1cnc(N)nc1', 'Brc1ccncc1', 'COc1cnc(N)nc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'Clc1ccncc1', 'CO', 'Ic1ccncc1', 'COc1cnc(N)nc1', 'Fc1ccncc1']; [0.9998489618301392, 0.9994345307350159, 0.9912880063056946, 0.989733874797821, 0.9881536960601807, 0.9772312045097351, 0.9612380266189575]
 COc1cnc(-c2ccc3c(c2)CS(=O)(=O)N3C)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C(=O)[O-])c(OC)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2csc3ncncc23)nc1; [None]; [None]; [0]
 COc1cnc(-c2cn(C(C)C)nn2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(C(=O)[O-])c(OC)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2c[nH]c(SC)n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cnoc2C(C)C)nc1; [None]; [None]; [0]
 COc1cnc(CCc2c[nH]nn2)nc1; [None]; [None]; [0]
-COc1cnc(CCNC(=O)CC(C)(C)O)nc1; [None]; [None]; [0]
-COc1cnc(NC(=O)c2c(Cl)cccc2Cl)nc1; [None]; [None]; [0]
+COc1cnc(-c2cncnc2N)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(CCC#N)c2)nc1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ncc(OC)cn2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9999567866325378, 0.9999483227729797]
+CCNc1nc2ccc(-c3ncc(OC)cn3)cc2s1; [None]; [None]; [0]
+COc1cnc(-c2cc3ccccc3[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(Oc2ccccn2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; ['Oc1ccccn1', 'Oc1ccccn1']; [0.9914728403091431, 0.8847043514251709]
+COc1cnc(-c2ccc(F)cc2C(F)(F)F)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1']; [0.9998708963394165, 0.9994131326675415, 0.9992215633392334, 0.7941479682922363]
+COc1cnc(NC(=O)c2c(Cl)cccc2Cl)nc1; ['COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(Cl)nc1', 'CCOC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'COc1cnc(N)nc1']; [0.999218761920929, 0.9968104362487793, 0.9947251081466675, 0.9159978628158569]
+COc1cnc(-c2cccc(NC(C)=O)c2)nc1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; [0.9999375343322754, 0.9999231100082397, 0.9978522062301636, 0.9969528317451477, 0.8668691515922546]
+COc1cnc(N2CCC(S(C)(=O)=O)CC2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; [0.9992743730545044, 0.9966541528701782]
+COc1cnc(-c2csc(N)n2)nc1; [None]; [None]; [0]
 COc1cnc(OCC(C)(C)S(C)(=O)=O)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cn(C)c3ccccc23)nc1; ['COc1cnc(Br)nc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.999390721321106]
+CCCn1cc(-c2ncc(OC)cn2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.999830961227417, 0.9997221231460571]
+COc1cnc(-c2ccc(OC)c(Cl)c2)nc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; [0.9999971389770508, 0.9999868869781494, 0.9999749660491943, 0.9997850656509399, 0.9990526437759399, 0.9811609983444214, 0.9526647329330444]
+COc1cnc(-c2cnn3ccccc23)nc1; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C']; ['COc1cnc(Br)nc1', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'COc1cnc(Cl)nc1']; [0.9999735355377197, 0.9999427795410156, 0.9998360872268677, 0.9997508525848389]
+COc1cnc(-c2cc[nH]c(=O)c2)nc1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['COc1cnc(Br)nc1']; [0.9976690411567688]
+COc1cnc(CCCC(N)=O)nc1; [None]; [None]; [0]
+COc1cnc(CCNC(=O)CC(C)(C)O)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc([S@](C)=O)cc2)nc1; [None]; [None]; [0]
+CCN(CC)c1ncc(OC)cn1; ['CCNCC', 'CCNCC', 'CCN(CC)c1ncc(Br)cn1', 'CCN(CC)c1ncc(Br)cn1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'C[O-]', 'CO']; [0.9862195253372192, 0.9855548739433289, 0.9128057956695557, 0.8782098293304443]
 COc1cnc(O[C@H](C)c2c(Cl)cncc2Cl)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc3c2C(=O)CC3)nc1; [None]; [None]; [0]
+COc1cnc(CCc2cc(OC)cc(OC)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)nc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ncc(OC)cn1; [None]; [None]; [0]
+COc1cnc(Nc2cnccc2OC)nc1; ['COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1Cl', 'COc1ccncc1I', 'COc1ccncc1Br']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; [0.9998803734779358, 0.9998612403869629, 0.9998282790184021, 0.9985415935516357, 0.9985029101371765]
+COc1cnc(-c2ccc(C(C)(C)N)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cncc(OC(C)C)c2)nc1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9999406337738037, 0.999936580657959, 0.9998360872268677, 0.999392569065094]
+COc1cnc(Nc2cnccc2-c2ccccc2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'Brc1cnccc1-c1ccccc1']; ['Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'COc1cnc(N)nc1']; [0.9993666410446167, 0.9992543458938599, 0.9946919679641724]
+COc1cnc(Nc2cnc3ccccc3c2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1']; [0.9997713565826416, 0.9997189044952393, 0.9617244005203247, 0.9407349824905396]
+COc1cnc(-c2ccc(C(C)(C)C)cc2)nc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; [0.9999809265136719, 0.9999520778656006, 0.9995044469833374, 0.9973316192626953, 0.9968216419219971, 0.9495649337768555, 0.8270552158355713]
+CNC(=O)c1c(F)cccc1-c1ncc(OC)cn1; [None]; [None]; [0]
+COc1cnc(-c2cc3c(=O)[nH]ccc3o2)nc1; [None]; [None]; [0]
+COc1cnc(-c2c[nH]c3cnccc23)nc1; ['Brc1c[nH]c2cnccc12', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Cl)nc1', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9842028617858887, 0.9731012582778931, 0.85671067237854]
+COc1cnc(-c2cnc3[nH]ccc3c2)nc1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999714493751526, 0.999912440776825, 0.9997590780258179, 0.9995905756950378]
 COc1cnc(-c2cc3c(=O)[nH]cc(Br)c3s2)nc1; [None]; [None]; [0]
-COc1cnc(Nc2cnccc2-c2ccccc2)nc1; [None]; [None]; [0]
-COc1cnc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)nc1; [None]; [None]; [0]
+COc1cnc(-c2c(F)cccc2OC)nc1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; [0.9999592304229736, 0.99986332654953, 0.9993326663970947, 0.9985551238059998, 0.9984346032142639, 0.9155164957046509, 0.8508232831954956]
+CNS(=O)(=O)c1ccc(-c2ncc(OC)cn2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; [0.9997447729110718, 0.9994704723358154, 0.9973562359809875, 0.994017481803894]
+COc1cnc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)nc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9999790191650391, 0.9999629259109497, 0.9992479085922241, 0.9983790516853333]
+COc1cnc(-c2ccc(N3CCOCC3)cc2)nc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'Brc1ccc(N2CCOCC2)cc1']; ['COc1cnc(Cl)nc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'COc1cnc(Cl)nc1']; [0.9999964237213135, 0.9999479651451111, 0.999718427658081, 0.9981822967529297]
+COc1cnc(C2(C)CCN(S(C)(=O)=O)CC2)nc1; [None]; [None]; [0]
 COc1cnc(N[C@@H](C)C(=O)NCC(F)(F)F)nc1; [None]; [None]; [0]
+COc1cnc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(S(C)(=O)=O)cc2)nc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1']; [0.9999975562095642, 0.9999911785125732, 0.9997340440750122, 0.9994094967842102, 0.9986355304718018, 0.9788676500320435]
+COc1cnc(-n2ccc(CO)n2)nc1; ['COc1cnc(Cl)nc1']; ['OCc1cc[nH]n1']; [0.987525463104248]
+COc1cnc(N[C@H](C)C(C)(C)O)nc1; ['COc1cnc(Cl)nc1']; ['C[C@@H](N)C(C)(C)O']; [0.8368674516677856]
+COc1cnc(-n2ncc3c(O)cccc32)nc1; ['COc1cnc(Cl)nc1']; ['Oc1cccc2[nH]ncc12']; [0.9936004877090454]
+COc1cnc(N[C@@H](C)C(C)(C)O)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(C)nn2-c2cccc(Cl)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(OC)cc2OC)nc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; [0.999713659286499, 0.9992083311080933, 0.9989144802093506, 0.9967852830886841, 0.9826762676239014, 0.7839386463165283]
+COc1cnc(-c2ccc(-n3cncn3)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2c(F)cccc2Cl)nc1; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br']; [0.9999851584434509, 0.9998713731765747, 0.9998528957366943, 0.997962474822998, 0.9977054595947266]
+COc1cnc(-c2ccc(C(=O)c3ccccc3)cc2)nc1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9998570680618286, 0.9995388984680176, 0.9980357885360718, 0.9902540445327759, 0.980919361114502]
+COc1cnc(-n2ncc3ccccc32)nc1; [None]; [None]; [0]
+COc1cnc(-n2cnc(CCO)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2nncn2C2CC2)nc1; [None]; [None]; [0]
+COc1cnc(-c2nncn2C(C)C)nc1; [None]; [None]; [0]
+COc1cnc(-c2[nH]c(SC)nc2C)nc1; [None]; [None]; [0]
+COc1cnc(-c2nc3ccc(O)cc3[nH]2)nc1; [None]; [None]; [0]
 COc1cnc(-c2ccn(CC[NH3+])n2)nc1; [None]; [None]; [0]
-COc1cnc(Cc2nnc3ccc(-c4ccccc4)nn23)nc1; [None]; [None]; [0]
 COc1cnc(CS(=O)(=O)NCc2ccccn2)nc1; [None]; [None]; [0]
+COc1cnc([C@@H]2CC[C@@H](NC(C)=O)CC2)nc1; [None]; [None]; [0]
+COc1cnc(Cc2nnc3ccc(-c4ccccc4)nn23)nc1; [None]; [None]; [0]
+COc1cnc(CCC(=O)NCc2ccccn2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cn(Cc3ccccc3)nn2)nc1; [None]; [None]; [0]
+COc1cnc(-c2nnc(N)s2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncc(OC)cn2)s1; [None]; [None]; [0]
+COc1cnc(-c2cccc(C(C)(C)O)n2)nc1; [None]; [None]; [0]
+CCc1cc(-c2ncc(OC)cn2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ncc(OC)cn2)nc(N)n1; [None]; [None]; [0]
 COc1cnc(-c2cc(C(N)=O)cn2C)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc3ccsc23)nc1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'COc1cnc(Br)nc1', 'Brc1cccc2ccsc12', 'COc1cnc(Cl)nc1']; ['COc1cnc(Cl)nc1', 'OB(O)c1cccc2ccsc12', 'COc1cnc(Cl)nc1', 'OB(O)c1cccc2ccsc12']; [0.9997958540916443, 0.9997804164886475, 0.9988081455230713, 0.9984191656112671]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncc(OC)cn3)c2)cc1; [None]; [None]; [0]
 COc1cnc(Oc2ccc(C[NH3+])cc2F)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc3nnsc23)nc1; ['Brc1cccc2nnsc12']; ['COc1cnc(Cl)nc1']; [0.9997735619544983]
+COc1cnc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ncc(OC)cn2)CC1; [None]; [None]; [0]
 COc1cnc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)nc1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncc(OC)cn3)c2)cc1; [None]; [None]; [0]
-COc1cnc(-c2cccc3nnsc23)nc1; [None]; [None]; [0]
-COc1cnc(Oc2ccc(OC)c(F)c2F)nc1; [None]; [None]; [0]
-COc1cnc(-c2cccc(C(C)(C)O)n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cncc(N)n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2c[nH]c3cccnc23)nc1; ['COc1cncnc1']; ['Ic1c[nH]c2cccnc12']; [0.8761301636695862]
+COc1cnc(-c2cc(C#N)ccc2OC)nc1; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br']; ['COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; [0.9999388456344604, 0.9999253749847412, 0.9998056888580322, 0.9996560215950012, 0.9995898008346558, 0.9813482761383057, 0.9779037833213806]
+COc1cnc(-c2nc(N)c3ccccc3n2)nc1; [None]; [None]; [0]
+COc1cnc(Oc2ccc(OC)c(F)c2F)nc1; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9999091029167175, 0.9999053478240967]
+COc1cnc(-c2cnc(NC(C)=O)[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ncc3ccccc3n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ncc3cc[nH]c3n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cn(CCO)cn2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccnc2OC)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1Br']; [0.9997255802154541, 0.9990460276603699, 0.9984264373779297, 0.9949800968170166, 0.9911403059959412, 0.8559856414794922]
+COc1cnc(N2CCC(c3nc4ccccc4[nH]3)CC2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9994919300079346, 0.9991050958633423]
+COc1cnc(-c2cc(OC)ccc2OC)nc1; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; [0.9998558163642883, 0.9997290372848511, 0.9997200965881348, 0.9991422891616821, 0.9972178936004639, 0.9583637118339539, 0.9529126286506653]
+COc1cnc(-c2cccc(S(=O)(=O)N(C)C)c2)nc1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; [0.9999837875366211, 0.9999321699142456, 0.9997997283935547, 0.9992798566818237, 0.9933164119720459]
+COc1cnc(N2CC=C(c3c[nH]c4ccccc34)CC2)nc1; ['CC(C)(C)OC(=O)N1CC=C(c2c[nH]c3ccccc23)CC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; [0.9999112486839294, 0.9996047019958496, 0.9987167119979858]
+CCOc1ccc(-c2ncc(OC)cn2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; [0.9998993873596191, 0.9998019933700562, 0.9988234639167786, 0.9981126189231873, 0.9953055381774902]
+COc1cnc(-c2ccc(N(C)C(C)=O)cc2)nc1; [None]; [None]; [0]
+COc1cnc([C@H]2CC[C@@](C)(O)CC2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(S(C)(=O)=O)c2)nc1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1']; [0.9999960064888, 0.9999778866767883, 0.9997860193252563, 0.9990487098693848, 0.9989612102508545]
+COc1cnc(-n2cnc3ccc(C)cc32)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; [0.9994686841964722, 0.9992963075637817, 0.9987226724624634]
 COc1cnc(-c2cccc(NC(=O)C3CCNCC3)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(OC)c(OC)c(OC)c2)nc1; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc([Mg]Br)cc(OC)c1OC']; ['COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; [0.9996129274368286, 0.9995685815811157, 0.9993084669113159, 0.9984710812568665, 0.9953187704086304, 0.9794586896896362]
+COc1cnc(-c2cnnc(N(C)C)c2)nc1; [None]; [None]; [0]
+COc1ccc(-c2ncc(OC)cn2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc([Mg]Br)cc1', None, 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(B(O)O)cc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', None, 'COc1cnc(Cl)nc1', 'COc1cncnc1']; [0.9997997879981995, 0.9996652603149414, 0.9944065809249878, 0.9912132024765015, 0.9853932857513428, 0.9814386367797852, 0, 0.9586851596832275, 0.8991767764091492]
+COc1cnc(-c2cc(C#N)ccc2O)nc1; ['COc1cnc(Cl)nc1']; ['N#Cc1ccc(O)c(B(O)O)c1']; [0.9987700581550598]
 COc1cnc(-c2sc(C(C)(C)O)nc2C)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(CC(=O)N3CCN(C(C)=O)CC3)cc2)nc1; [None]; [None]; [0]
+COc1cnc(Nc2cc(C)ns2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['Cc1cc(N)sn1', 'Cc1cc(N)sn1']; [0.9975824952125549, 0.9970777034759521]
+COc1cnc(-c2ccc(C(=O)[O-])cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(NC(=O)C3CC3)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(C(N)=O)cc2)nc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.9998629093170166, 0.9998364448547363, 0.9853193759918213, 0.9793961644172668]
+COc1cnc(-c2ccc(CNC(C)=O)cc2)nc1; ['CC(=O)NCc1ccc(B(O)O)cc1']; ['COc1cnc(Cl)nc1']; [0.9920029640197754]
 COc1cnc(-c2cnn(Cc3cccc(C#N)c3)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(CC(=O)N3CCN(C(C)=O)CC3)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(C(=O)Nc3ccccc3)cc2)nc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.9999812841415405, 0.9999475479125977, 0.9976186752319336, 0.9932613372802734]
+COc1cnc(-c2ccc(OCCO)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(C(=O)N3CCOCC3)cc2)nc1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [0.9999939203262329, 0.9999868869781494, 0.9998284578323364, 0.9995668530464172]
+COc1cnc(-c2nccc3ccccc23)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(C(F)(F)F)cc2)nc1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'CO', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc([Mg]Br)cc1', 'FC(F)(F)c1ccc(I)cc1', 'Nc1cnc(-c2ccc(C(F)(F)F)cc2)nc1', 'FC(F)(F)c1ccc(Br)cc1']; [0.9999899864196777, 0.999967098236084, 0.9996654987335205, 0.9990520477294922, 0.9985243678092957, 0.9919024705886841, 0.9279273152351379, 0.8837767839431763, 0.8267701864242554]
+COc1cnc(-c2ccc(OC[C@H](C)O)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(OC[C@@H](C)O)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(C3CCNCC3)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(S(=O)(=O)N(C)C)cc2)nc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; [0.9999608993530273, 0.999543309211731, 0.9988660216331482, 0.8673345446586609]
+COc1cnc(-c2ccc(N(C)C)cc2)nc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc([B-](F)(F)F)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(I)cc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; [0.999904990196228, 0.9998084902763367, 0.9983956813812256, 0.9978145360946655, 0.994511067867279, 0.9887871742248535, 0.9522680044174194, 0.8751299381256104]
+CCNS(=O)(=O)c1ccc(-c2ncc(OC)cn2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(Cl)nc1']; [0.9979974031448364]
 COc1cnc(-c2ccc3c(c2)CS(=O)(=O)C3)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(C(=O)N3CCOCC3)cn2)nc1; [None]; [None]; [0]
+COc1cnc(C2CCN(S(C)(=O)=O)CC2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(Br)cc2)nc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'Brc1ccc(I)cc1', 'COc1cncnc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'COc1cncnc1', 'OB(O)c1ccc(Br)cc1']; [0.9998185038566589, 0.9996247291564941, 0.9576142430305481, 0.91929692029953, 0.8159210085868835, 0.7550501823425293]
+COc1cnc([C@H]2CCN(C(=O)c3ccccc3)C2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(N(C)C)c(Cl)c2)nc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; [0.9999680519104004, 0.9965448379516602]
+CCN(CC)C(=O)c1ccc(-c2ncc(OC)cn2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; [0.9999719858169556, 0.9999561309814453, 0.99239581823349, 0.9887701869010925, 0.9027763605117798]
 COc1cnc(-c2cc(C(C)C)nc(N)n2)nc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ncc(OC)cn2)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; [0.9987921714782715, 0.9979619979858398]
 COc1cnc(-c2cccc(N3CCCN(C(C)=O)CC3)c2)nc1; [None]; [None]; [0]
 CCCOc1ccc(-c2ncc(OC)cn2)nc1; [None]; [None]; [0]
-COc1cnc(-c2nc3ccc(C(C)C)cc3[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(C(=O)[O-])c2C)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(Cl)ccc2OC)nc1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I']; ['COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; [0.9995539784431458, 0.9993046522140503, 0.9967741966247559, 0.9955551624298096, 0.9919905662536621, 0.9173537492752075, 0.8445143699645996]
+COc1cnc(-c2ccn3nccc3n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccccc2-n2cccn2)nc1; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Brc1ccccc1-n1cccn1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'Brc1ccccc1-n1cccn1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'COc1cncnc1']; [0.999966025352478, 0.9998739957809448, 0.9997916221618652, 0.9997209310531616, 0.9990156888961792, 0.9673429131507874]
+COc1cnc(-c2c[nH]c3ccccc23)nc1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['COc1cnc(Cl)nc1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9824604988098145, 0.976869523525238, 0.9297921657562256]
+COc1cnc(-c2ccc3c(c2)CCO3)nc1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'Brc1ccc2c(c1)CCO2', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'COc1cnc(Cl)nc1', 'Ic1ccc2c(c1)CCO2']; [0.9999887943267822, 0.999988317489624, 0.999923050403595, 0.999782919883728, 0.9997596740722656, 0.9592111706733704]
+COc1cnc(-c2ccc(O)c(OC)c2)nc1; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; [0.9999624490737915, 0.9999210834503174, 0.9998587965965271, 0.9995167255401611, 0.75321364402771]
+COc1cnc(-c2cccc3c2OCO3)nc1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'Brc1cccc2c1OCO2']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'COc1cncnc1']; [0.9999010562896729, 0.9991415739059448, 0.9985302686691284, 0.9984105825424194, 0.9898449182510376, 0.8843197226524353]
+COc1cnc(-c2cc(Cl)c(OC)cc2OC)nc1; [None]; [None]; [0]
 COc1cnc(-c2ccc(C(=O)N3CCOCC3)cc2OC)nc1; [None]; [None]; [0]
-COc1cnc(Cc2nc3c(F)c(F)ccc3[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(-c2nc3ccc(C(C)C)cc3[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(C(=O)N(C)C)cc2)nc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; [0.9999153017997742, 0.9998487234115601, 0.9956259727478027, 0.9948532581329346]
+COc1cnc(-c2scc3c2OCCO3)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(SC)cc2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc([Mg]Br)cc1', 'CSc1ccc(B(O)O)cc1']; [0.9998359680175781, 0.9997892379760742, 0.9961975812911987, 0.9940086603164673, 0.9826159477233887, 0.9771826267242432, 0.9394999742507935]
+COc1cnc(-c2cnc3ccccc3c2)nc1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1']; [0.9999316930770874, 0.9997552633285522, 0.9994895458221436, 0.9985330104827881, 0.9178239107131958]
+COc1cnc(NC(=O)c2cccc(OC)c2)nc1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COc1cccc(C(N)=O)c1']; ['COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(Cl)nc1']; [0.9999427199363708, 0.9992600679397583, 0.9893711805343628]
+COc1cnc(-c2cc(-c3ccccc3)[nH]n2)nc1; [None]; [None]; [0]
+COc1cnc(OCC2(C)COC2)nc1; ['CC1(CO)COC1']; ['COc1cnc(Cl)nc1']; [0.9574605226516724]
+COc1cnc(-c2ccc(C(C)(C)C)nc2)nc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; [0.9999679327011108, 0.999762773513794, 0.996898889541626, 0.9871923923492432, 0.9857765436172485]
+COc1cnc(-c2cc3ccccc3s2)nc1; ['COc1cnc(Br)nc1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1', 'COc1cnc(Cl)nc1']; ['OB(O)c1cc2ccccc2s1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1cc2ccccc2s1']; [0.9994905591011047, 0.9994374513626099, 0.9992681741714478, 0.9981014728546143]
+COc1cnc(-c2ncc(Br)cn2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(F)cc2Cl)nc1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'COc1cnc(Br)nc1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'OB(O)c1ccc(F)cc1Cl', 'COc1cnc(Cl)nc1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(I)c(Cl)c1']; [0.9999545216560364, 0.9998394846916199, 0.999753475189209, 0.9978376626968384, 0.8370888233184814]
+COc1cnc(-c2ccc3c(c2)CCC(=O)N3)nc1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['COc1cnc(Cl)nc1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999173879623413, 0.9987045526504517, 0.8469207286834717]
+COc1cnc(-c2ccc(OC)c(OC)c2)nc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; [0.9999568462371826, 0.9998300075531006, 0.9996746778488159, 0.9994048476219177, 0.9982458353042603, 0.9947564601898193, 0.9035980701446533, 0.852531909942627]
+CCN1CCN(Cc2ccc(-c3ncc(OC)cn3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; [0.999626874923706, 0.9976866245269775, 0.9829515814781189]
+COc1cnc(-c2ccn(-c3cccc(Cl)c3)n2)nc1; [None]; [None]; [0]
+COc1ccc(CNc2ncc(OC)cn2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(C=O)cc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; [0.9951362609863281, 0.9931433200836182, 0.9902575016021729, 0.9844982624053955, 0.980944037437439, 0.916910707950592]
+COc1cnc(-c2cc(C)nc(N)n2)nc1; [None]; [None]; [0]
 COc1cnc(NC2CN(C(=O)C3CC3)C2)nc1; [None]; [None]; [0]
+CCc1ccc(-c2ncc(OC)cn2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc([Mg]Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; [0.9999803304672241, 0.9999768733978271, 0.9995419979095459, 0.9991119503974915, 0.9983570575714111, 0.9905217885971069, 0.807769775390625, 0.7558427453041077]
+COc1cnc(-c2ccc(Cl)cc2Cl)nc1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'COc1cnc(Br)nc1', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'OB(O)c1ccc(Cl)cc1Cl', 'COc1cnc(Cl)nc1', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(Br)c(Cl)c1']; [0.9998694658279419, 0.999848484992981, 0.998863697052002, 0.9965308904647827, 0.9621890783309937, 0.8164706230163574]
+COc1cnc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cn(C)nc2C(F)(F)F)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1']; [0.9999582171440125, 0.999792218208313, 0.9995114803314209, 0.9954148530960083, 0.9466611742973328]
+COc1cnc(-c2ccc(N3CCOCC3)c(OC)c2)nc1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; [0.9999986290931702, 0.9999963045120239, 0.9999916553497314]
+COc1cnc(-c2cc3ccccn3n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc3ccc(OC)cc23)nc1; ['COc1ccc2cccc(Br)c2c1']; ['COc1cnc(Cl)nc1']; [0.9978507161140442]
+COc1cnc(-c2ncc3cccn3n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(Cl)c(OC)c2)nc1; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; [0.9999963045120239, 0.9999800324440002, 0.9999768733978271, 0.9998499155044556, 0.9992533326148987, 0.9940410852432251, 0.9890952706336975]
+COc1cnc(-c2cc(OC)c(OC)cc2F)nc1; ['COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; [0.9999725222587585, 0.999919056892395, 0.999862551689148, 0.9997564554214478, 0.9859433174133301]
+COc1cnc(-c2ncc(Cl)cn2)nc1; [None]; [None]; [0]
+COc1cnc(Nc2cc(C)n(C)n2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['Cc1cc(N)nn1C', 'Cc1cc(Br)nn1C', 'Cc1cc(Cl)nn1C']; [0.9995851516723633, 0.9989755153656006, 0.9935556650161743]
+COc1cnc(Nc2nc(C)c(C)s2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['Cc1nc(N)sc1C', 'Cc1nc(Cl)sc1C', 'Cc1nc(Br)sc1C']; [0.9999240040779114, 0.9995204210281372, 0.9989761710166931]
+COc1cnc(-c2ccc3c(c2)CC(C)(C)O3)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncc(OC)cn2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; [0.9997972846031189, 0.9997352957725525, 0.9979867935180664, 0.9973991513252258, 0.7698800563812256]
+COc1cnc(-c2ncnc3c(C)csc23)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(OC)c(Br)cc2OC)nc1; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1']; [0.9933247566223145, 0.9594094157218933]
+COc1cnc(-c2cccc3ccc(O)cc23)nc1; [None]; [None]; [0]
+COc1cnc(NC(=O)c2ccco2)nc1; ['COc1cnc(N)nc1', 'COc1cnc(Cl)nc1']; ['O=C(Cl)c1ccco1', 'NC(=O)c1ccco1']; [0.9832249283790588, 0.9255605936050415]
 COc1cnc(-c2cc(N)nc3[nH]ccc23)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(CS(C)(=O)=O)cc2OC)nc1; [None]; [None]; [0]
+COc1cnc(Cc2ccc(C(N)=O)cc2)nc1; [None]; [None]; [0]
 COc1cnc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)nc1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ncc(OC)cn2)CC1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ncc(OC)cn2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(OC)cc(OC)c2)nc1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc([Mg]Br)c1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cnc(Cl)nc1']; [0.9983837604522705, 0.9979139566421509, 0.9974273443222046, 0.9947656393051147, 0.9751066565513611, 0.9304969310760498, 0.9258133172988892]
+COc1cnc(-c2cc3cc(OC)ccc3o2)nc1; ['COc1ccc2oc(B(O)O)cc2c1']; ['COc1cnc(Br)nc1']; [0.9962285161018372]
+COc1cnc(-c2ccc(CS(C)(=O)=O)cc2OC)nc1; [None]; [None]; [0]
+COc1cnc(Cc2ccc(S(=O)(=O)CCO)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc3cn[nH]c3c2)nc1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1']; [0.999810516834259, 0.999776303768158, 0.9990949630737305, 0.9985325336456299, 0.779412031173706]
+COc1cnc([C@@H]2CC[C@@H](OC)CC2)nc1; [None]; [None]; [0]
+COc1cnc(NC(=O)c2ccc(C(C)(C)C)cc2)nc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1']; ['COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(Cl)nc1']; [0.9998750686645508, 0.9988362789154053, 0.9857707023620605, 0.9847815036773682]
+CNC(=O)c1ccc(OC)c(-c2ncc(OC)cn2)c1; [None]; [None]; [0]
 COc1cnc(-c2cn(C)c3ccc(OC)cc23)nc1; [None]; [None]; [0]
-COc1cnc(NC(=O)c2cc(OC)ccc2F)nc1; [None]; [None]; [0]
+COc1cnc(-c2cn(C)nc2C(C)C)nc1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9998514652252197, 0.9985927939414978]
+COc1cnc(-c2ccc(C[NH+](C)C)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(NC(=O)N3CCCC3)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc3ccccc3o2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(-c3cccnc3)ccn2)nc1; [None]; [None]; [0]
+COc1cnc(NC(=O)c2cc(OC)ccc2F)nc1; ['COc1ccc(F)c(C(=O)O)c1', 'COc1ccc(F)c(C(N)=O)c1']; ['COc1cnc(N)nc1', 'COc1cnc(Cl)nc1']; [0.9994844198226929, 0.9993090033531189]
+COc1cnc(-c2cc(Br)cn2C)nc1; [None]; [None]; [0]
+COc1cnc(-c2ncc3sccc3n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(OC(F)(F)F)cc2)nc1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1', 'COc1cncnc1']; ['COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; [0.9999992251396179, 0.9999991655349731, 0.9999806880950928, 0.9999680519104004, 0.9998980164527893, 0.9970438480377197, 0.9950684905052185, 0.9576878547668457]
+COc1cnc(-c2nc3ccc(OC)cc3[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(C)c(OCCO)c(C)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(N(C)C)nc2)nc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9996762275695801, 0.9995321035385132, 0.9949980974197388, 0.9940082430839539]
+COc1cnc(-c2cnn(C3CCN(C(C)=O)CC3)c2)nc1; [None]; [None]; [0]
 COc1cnc(-c2cc3ccc(C(C)(C)O)cc3[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc3c(C)n[nH]c3c2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1', 'COc1cncnc1', 'COc1cncnc1']; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12']; [0.9999836683273315, 0.9999802112579346, 0.99980628490448, 0.9323447346687317, 0.8667846322059631]
 COc1cnc(-c2ncn3c2CCCC3)nc1; [None]; [None]; [0]
+COc1cnc(NC(=O)c2cccc(OC(F)(F)F)c2)nc1; ['COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(Cl)nc1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1']; [0.999991238117218, 0.9998198747634888, 0.9965659379959106]
+CCc1cccc(-c2ncc(OC)cn2)n1; [None]; [None]; [0]
+COc1cnc(-c2ccc(CCO)cc2)nc1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'COc1cnc(Cl)nc1']; ['COc1cnc(Cl)nc1', 'OCCc1ccc(B(O)O)cc1']; [0.9997566342353821, 0.9928064346313477]
+COc1cnc(-c2cccc(N3CCCC3=O)c2)nc1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['COc1cnc(Cl)nc1']; [0.9998427033424377]
 COc1cnc(-c2ccc3c(c2)c(Cl)nn3C)nc1; [None]; [None]; [0]
-COc1cnc(-c2cnn(C3CCN(C(C)=O)CC3)c2)nc1; [None]; [None]; [0]
-COc1cnc(NC(=O)c2cccc(OC(F)(F)F)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(S(C)(=O)=O)cc2OC)nc1; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['COc1cnc(Cl)nc1']; [0.9937411546707153]
+CNC(=O)c1ccc(-c2ncc(OC)cn2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.999636173248291, 0.9977482557296753]
 COc1cnc(-c2ccc(-c3cnc(C)n3C)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(N3CCNCC3)cc2OC)nc1; [None]; [None]; [0]
 COc1cnc(-c2ccc(-c3cnn(C)c3)cc2OC)nc1; [None]; [None]; [0]
-COc1cnc(-c2ccc(S(C)(=O)=O)cc2OC)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(N3CCOCC3)cc2C)nc1; [None]; [None]; [0]
+COc1cnc(Nc2ccc(F)cn2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(Br)nc1', 'COc1cnc(N)nc1']; ['Nc1ccc(F)cn1', 'Fc1ccc(Br)nc1', 'Nc1ccc(F)cn1', 'Fc1ccc(Cl)nc1']; [0.9985190629959106, 0.9982249140739441, 0.9977065324783325, 0.995118260383606]
+CCNC(=O)c1ccc(-c2ncc(OC)cn2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9973756074905396, 0.9907188415527344]
+COc1cnc(Nc2cc(C)c(F)cn2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(Br)ncc1F', 'Cc1cc(Cl)ncc1F']; [0.9985805749893188, 0.9980648159980774, 0.9977641105651855, 0.9510475397109985]
+COc1cnc(-c2ccc(C(=O)N(C)C)cc2Cl)nc1; [None]; [None]; [0]
+COc1cnc(Nc2ccccn2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1', 'Brc1ccccn1', 'COc1cnc(N)nc1']; ['Nc1ccccn1', 'Nc1ccccn1', 'COc1cnc(N)nc1', 'Clc1ccccn1']; [0.9989659786224365, 0.9977457523345947, 0.9945957064628601, 0.9935175180435181]
+CCNC(=O)Cc1ccc(-c2ncc(OC)cn2)cc1; [None]; [None]; [0]
+Nc1nnc(-c2cccc(O)c2)s1; ['N#Cc1cccc(O)c1', 'NNC(N)=S', None]; ['NNC(N)=S', 'O=C(O)c1cccc(O)c1', None]; [0.995713472366333, 0.9902815818786621, 0]
+COc1cnc(-c2cc(S(C)(=O)=O)ccc2Cl)nc1; ['COc1cncnc1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; [0.7787415385246277]
+Nc1nnc(-c2cccc3ncccc23)s1; ['Nc1nnc(Br)s1', 'N#Cc1cccc2ncccc12', 'NNC(N)=S']; ['OB(O)c1cccc2ncccc12', 'NNC(N)=S', 'O=C(O)c1cccc2ncccc12']; [0.9999959468841553, 0.999985933303833, 0.9974315166473389]
+Nc1nnc(-c2c(Cl)ccc3c2OCO3)s1; ['NNC(N)=S']; ['O=C(O)c1c(Cl)ccc2c1OCO2']; [0.994834303855896]
 COc1cnc(-c2cc(C(C)(C)O)n(C)n2)nc1; [None]; [None]; [0]
-COc1cnc(Nc2cc(C)c(F)cn2)nc1; [None]; [None]; [0]
-Nc1nnc(-c2ccc(-c3ccc(O)cc3O)cc2)s1; [None]; [None]; [0]
-Nc1nnc(-c2cnn3ncccc23)s1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nnc(N)s2)cc1; ['CNS(=O)(=O)c1ccc(C#N)cc1', 'CNS(=O)(=O)c1ccc(C(=O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['NNC(N)=S', 'NNC(N)=S', 'Nc1nnc(Br)s1']; [0.9998779296875, 0.9992340803146362, 0.9990801811218262]
+Nc1nnc(-c2c(Cl)cccc2Cl)s1; ['NNC(N)=S']; ['O=C(O)c1c(Cl)cccc1Cl']; [0.9998549222946167]
+Nc1nnc(-c2ccc(Cl)c(O)c2)s1; ['N#Cc1ccc(Cl)c(O)c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc(Cl)c(O)c1']; [0.9999773502349854, 0.9999269247055054]
+Nc1nnc(Oc2ccc(F)cc2)s1; ['Nc1nnc(Br)s1']; ['Oc1ccc(F)cc1']; [0.9954981803894043]
+Nc1nnc(-c2ccc(O)cc2Cl)s1; ['NNC(N)=S', 'N#Cc1ccc(O)cc1Cl']; ['O=C(O)c1ccc(O)cc1Cl', 'NNC(N)=S']; [0.9998304843902588, 0.9978655576705933]
+NC(=O)c1ccc(-c2nnc(N)s2)cc1; ['N#Cc1ccc(C(N)=O)cc1', 'NC(=O)c1ccc(C(=O)O)cc1', None]; ['NNC(N)=S', 'NNC(N)=S', None]; [0.9999972581863403, 0.9999735355377197, 0]
+COc1cnc(-c2ccc(C(=O)N(C)C)cn2)nc1; [None]; [None]; [0]
+Nc1nnc(-c2ccc(O)cc2F)s1; ['N#Cc1ccc(O)cc1F', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc(O)cc1F']; [0.9999845623970032, 0.9998959302902222]
+CNC(=O)c1ccc(C)c(-c2ncc(OC)cn2)c1; [None]; [None]; [0]
+COc1cnc(-c2cc(C(=O)NCCO)ccc2C)nc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nnc(N)s2)c(F)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1nnc(N)s1; ['COc1ccc(F)cc1C(=O)O', 'COc1ccc(F)cc1C#N']; ['NNC(N)=S', 'NNC(N)=S']; [0.9999388456344604, 0.9999074339866638]
+COc1cc(C(N)=O)ccc1-c1nnc(N)s1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1nnc(N)s1; ['COc1cc(F)ccc1C#N', 'COc1cc(F)ccc1C(=O)O']; ['NNC(N)=S', 'NNC(N)=S']; [0.9999027252197266, 0.9996845722198486]
+Nc1nnc(-c2cn[nH]c2Cl)s1; ['NNC(N)=S']; ['O=C(O)c1cn[nH]c1Cl']; [0.954146683216095]
+COc1cc(-c2nnc(N)s2)ccc1O; ['COc1cc(C#N)ccc1O', 'COc1cc(C(=O)O)ccc1O']; ['NNC(N)=S', 'NNC(N)=S']; [0.9999046325683594, 0.9990911483764648]
+Nc1nnc(-c2ccc(-c3ccc(O)cc3O)cc2)s1; ['CC1(C)OB(c2ccc(-c3nnc(N)s3)cc2)OC1(C)C', 'Nc1nnc(-c2ccc(B(O)O)cc2)s1']; ['Oc1ccc(Br)c(O)c1', 'Oc1ccc(Br)c(O)c1']; [0.9999987483024597, 0.9997152090072632]
+Nc1nnc(-c2cccc(Br)c2)s1; ['NNC(N)=S', 'N#Cc1cccc(Br)c1']; ['O=C(O)c1cccc(Br)c1', 'NNC(N)=S']; [0.9998984336853027, 0.9996802806854248]
+Nc1nnc(-c2n[nH]c3ccccc23)s1; [None]; [None]; [0]
+COc1cc(CCc2nnc(N)s2)ccc1O; ['COc1cc(CCC(=O)O)ccc1O']; ['NNC(N)=S']; [0.9993298053741455]
+Nc1nnc(-c2ccc3ccccc3c2)s1; ['N#Cc1ccc2ccccc2c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc2ccccc2c1']; [0.9999899864196777, 0.9999329447746277]
+Cn1cc(-c2nnc(N)s2)c2ccccc21; ['Cn1cc(C(=O)O)c2ccccc21', 'Cn1cc(C#N)c2ccccc21']; ['NNC(N)=S', 'NNC(N)=S']; [0.999937891960144, 0.9998793005943298]
+Nc1nnc(-c2ccc(O)c(F)c2)s1; ['N#Cc1ccc(O)c(F)c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc(O)c(F)c1']; [0.9999343156814575, 0.9997453689575195]
+Nc1nnc(-c2ccc(C(=O)[O-])cc2)s1; [None]; [None]; [0]
+Nc1nnc(-c2ccc(O)cc2O)s1; ['NNC(N)=S', 'N#Cc1ccc(O)cc1O', None]; ['O=C(O)c1ccc(O)cc1O', 'NNC(N)=S', None]; [0.9996666312217712, 0.9957171678543091, 0]
+COC(=O)c1ccc(-c2nnc(N)s2)o1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2nnc(N)s2)c1; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(C(=O)O)c1', 'COC(=O)c1ccc(Cl)c(C#N)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; ['Nc1nnc(Br)s1', 'NNC(N)=S', 'NNC(N)=S', 'Nc1nnc(Br)s1']; [0.9999569654464722, 0.9999454021453857, 0.999771773815155, 0.9791138172149658]
+Nc1nnc(-c2cnn3ncccc23)s1; ['NNC(N)=S']; ['O=C(O)c1cnn2ncccc12']; [0.9990882873535156]
+Nc1nnc(-c2c[nH]c3cnccc23)s1; ['NNC(N)=S']; ['O=C(O)c1c[nH]c2cnccc12']; [0.9664833545684814]
+Nc1nnc(COc2ccccc2Cl)s1; ['N#CCOc1ccccc1Cl', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)COc1ccccc1Cl']; [0.9999813437461853, 0.9999688863754272]
+Nc1nnc(-c2ccc(F)c(Cl)c2)s1; ['N#Cc1ccc(F)c(Cl)c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc(F)c(Cl)c1']; [0.9999900460243225, 0.9993172287940979]
+Cc1nc2c(F)cc(-c3nnc(N)s3)cc2[nH]1; [None]; [None]; [0]
+Nc1nccc(-c2nnc(N)s2)n1; [None]; [None]; [0]
+Nc1cc(-c2nnc(N)s2)ccn1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'NNC(N)=S', 'N#Cc1ccnc(N)c1', 'Nc1cc(B(O)O)ccn1', None]; ['Nc1nnc(Br)s1', 'Nc1cc(C(=O)O)ccn1', 'NNC(N)=S', 'Nc1nnc(Br)s1', None]; [1.0, 0.999853253364563, 0.9998341798782349, 0.9995448589324951, 0]
+Nc1nnc(-c2cc(O)ccc2Cl)s1; ['N#Cc1cc(O)ccc1Cl', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1cc(O)ccc1Cl']; [0.9999593496322632, 0.999858021736145]
+COc1ccc(-c2nnc(N)s2)cc1OC; ['COc1ccc(C#N)cc1OC', 'COc1ccc(C(=O)O)cc1OC']; ['NNC(N)=S', 'NNC(N)=S']; [0.9999989867210388, 0.9999758005142212]
+COc1cc(OC)cc(-c2nnc(N)s2)c1; ['COc1cc(C#N)cc(OC)c1', 'COc1cc(OC)cc(C(=O)O)c1']; ['NNC(N)=S', 'NNC(N)=S']; [0.9997379779815674, 0.9994622468948364]
+Nc1nnc(-c2cnc(O)c(Cl)c2)s1; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'NNC(N)=S']; ['Nc1nnc(Br)s1', 'O=C(O)c1cnc(O)c(Cl)c1']; [0.9999815225601196, 0.9943763017654419]
+Cc1ccc(CO)cc1-c1nnc(N)s1; ['Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1C(=O)O']; ['Nc1nnc(Br)s1', 'NNC(N)=S']; [0.9969479441642761, 0.9817517995834351]
+Cc1ccc2[nH]ncc2c1-c1nnc(N)s1; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1C(=O)O']; ['Nc1nnc(Br)s1', 'Nc1nnc(Br)s1', 'NNC(N)=S']; [0.9999942779541016, 0.9989867210388184, 0.997411847114563]
+COc1cc(CCc2nnc(N)s2)cc(OC)c1; ['COc1cc(CCC(=O)O)cc(OC)c1']; ['NNC(N)=S']; [0.99979567527771]
+CCOc1cccc(-c2nnc(N)s2)c1; ['CCOc1cccc(C#N)c1', 'CCOc1cccc(C(=O)O)c1']; ['NNC(N)=S', 'NNC(N)=S']; [0.9999504089355469, 0.9968191385269165]
+Cc1nc2ccc(-c3nnc(N)s3)cc2[nH]1; ['Cc1nc2ccc(C(=O)O)cc2[nH]1']; ['NNC(N)=S']; [0.9943639636039734]
+CS(=O)(=O)c1ccc(-c2nnc(N)s2)cc1; ['CS(=O)(=O)c1ccc(C#N)cc1', 'CS(=O)(=O)c1ccc(C(=O)O)cc1']; ['NNC(N)=S', 'NNC(N)=S']; [0.9999861717224121, 0.9999337196350098]
+NC(=O)c1cc(-c2nnc(N)s2)c[nH]1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2nnc(N)s2)cc1; ['Nc1ccc(-c2nnc(N)s2)cc1', None, 'NC(=O)Cl', 'NC(N)=O', 'NC(=O)Oc1ccccc1']; ['[N-]=C=O', None, 'Nc1ccc(-c2nnc(N)s2)cc1', 'Nc1ccc(-c2nnc(N)s2)cc1', 'Nc1ccc(-c2nnc(N)s2)cc1']; [0.9955567121505737, 0, 0.9886994957923889, 0.9548983573913574, 0.8266345262527466]
+Nc1nnc(-c2cnc3[nH]ccc3c2)s1; ['Nc1nnc(Br)s1', 'NNC(N)=S']; ['OB(O)c1cnc2[nH]ccc2c1', 'O=C(O)c1cnc2[nH]ccc2c1']; [0.9999963045120239, 0.9982606172561646]
+Nc1nnc(-c2ccc3c(c2)CC(=O)N3)s1; ['N#Cc1ccc2c(c1)CC(=O)N2', 'NNC(N)=S', 'Nc1nnc(Br)s1']; ['NNC(N)=S', 'O=C1Cc2cc(C(=O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1']; [0.9999806880950928, 0.9997992515563965, 0.999632716178894]
+Nc1nnc(-c2cncc(O)c2)s1; ['Nc1nnc(Br)s1', 'NNC(N)=S']; ['OB(O)c1cncc(O)c1', 'O=C(O)c1cncc(O)c1']; [0.9989778399467468, 0.9978476762771606]
+Nc1nnc(-c2[nH]cnc2-c2ccc(F)cc2)s1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1nnc(N)s1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1nnc(N)s1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1nnc(N)s1; ['Cc1cc(O)ccc1C(=O)O', 'Cc1cc(O)ccc1C#N']; ['NNC(N)=S', 'NNC(N)=S']; [0.9999821186065674, 0.9999686479568481]
+CNC(=O)c1cccc2cc(-c3nnc(N)s3)ccc12; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1nnc(N)s1; [None]; [None]; [0]
+Nc1nnc(-c2nc3ccccc3s2)s1; [None]; [None]; [0]
+Nc1nnc(-c2ccncc2Cl)s1; ['NNC(N)=S', 'N#Cc1ccncc1Cl']; ['O=C(O)c1ccncc1Cl', 'NNC(N)=S']; [0.9942891597747803, 0.9560710787773132]
+Nc1nnc(-c2cc(Cl)c(O)c(Cl)c2)s1; ['N#Cc1cc(Cl)c(O)c(Cl)c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9973185062408447, 0.9929065108299255]
+CNc1nccc(-c2nnc(N)s2)n1; [None]; [None]; [0]
+Nc1nnc(-c2ccc3c(c2)CCN3)s1; ['NNC(N)=S']; ['O=C(O)c1ccc2c(c1)CCN2']; [0.9974616765975952]
+Nc1nnc(-c2cc(C(F)F)n[nH]2)s1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3nnc(N)s3)ccc12; [None]; [None]; [0]
-Nc1nnc(-c2cc(O)n3nccc3n2)s1; [None]; [None]; [0]
 Cc1oc(-c2nnc(N)s2)cc1C(=O)[O-]; [None]; [None]; [0]
-Nc1nnc(-c2ocnc2-c2ccc(F)cc2)s1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1nnc(N)s1; [None]; [None]; [0]
+Nc1nnc(-c2ccc3[nH]c(=O)[nH]c3c2)s1; ['N#Cc1ccc2[nH]c(=O)[nH]c2c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc2[nH]c(=O)[nH]c2c1']; [0.9999972581863403, 0.9999804496765137]
+Cc1n[nH]c(-c2nnc(N)s2)c1C; [None]; [None]; [0]
+Nc1nnc(-c2ccc(Br)cc2F)s1; ['NNC(N)=S']; ['O=C(O)c1ccc(Br)cc1F']; [0.9999723434448242]
+Nc1nnc(Nc2ccncc2)s1; ['Clc1ccncc1']; ['Nc1nnc(N)s1']; [0.9869903922080994]
+CCc1sccc1-c1nnc(N)s1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1nnc(N)s1; [None]; [None]; [0]
+Nc1nnc(-c2cc(O)cc(Br)c2)s1; ['N#Cc1cc(O)cc(Br)c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1cc(O)cc(Br)c1']; [0.9996190071105957, 0.9989646673202515]
+CNC(=O)c1ccc(-c2nnc(N)s2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(C#N)cc1', 'CNC(=O)c1ccc(C(=O)O)cc1', 'CN', 'CNC(=O)OC(C)(C)C']; ['Nc1nnc(Br)s1', 'Nc1nnc(Br)s1', 'NNC(N)=S', 'NNC(N)=S', 'Nc1nnc(-c2ccc(C(=O)O)cc2)s1', 'Nc1nnc(-c2ccc(C(=O)O)cc2)s1']; [1.0, 0.9999245405197144, 0.9998980760574341, 0.99959397315979, 0.9915001392364502, 0.9700895547866821]
+Cc1nc2ccc(-c3nnc(N)s3)cc2o1; ['Cc1nc2ccc(C(=O)O)cc2o1']; ['NNC(N)=S']; [0.9876255989074707]
+CNc1nc(-c2nnc(N)s2)ncc1F; [None]; [None]; [0]
+Nc1nnc(-c2[nH]nc3ccc(F)cc23)s1; [None]; [None]; [0]
+Cc1cc(-c2nnc(N)s2)ccc1C(N)=O; ['Cc1cc(Br)ccc1C(N)=O']; ['Nc1nncs1']; [0.9341399669647217]
+Cc1cc(-c2nnc(N)s2)cc(C)c1O; ['Cc1cc(C#N)cc(C)c1O', 'Cc1cc(C(=O)O)cc(C)c1O']; ['NNC(N)=S', 'NNC(N)=S']; [0.999959409236908, 0.9998704195022583]
+Nc1nnc(-c2cc(F)c(O)c(F)c2)s1; ['N#Cc1cc(F)c(O)c(F)c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1cc(F)c(O)c(F)c1']; [0.9995046257972717, 0.9986664056777954]
+Nc1nnc(-c2ccc(C(=O)NC3CC3)cc2)s1; ['N#Cc1ccc(C(=O)NC2CC2)cc1', 'Nc1nnc(Br)s1', 'NNC(N)=S', 'NC1CC1']; ['NNC(N)=S', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(O)c1ccc(C(=O)NC2CC2)cc1', 'Nc1nnc(-c2ccc(C(=O)O)cc2)s1']; [0.9999985694885254, 0.9999463558197021, 0.9999291896820068, 0.999759316444397]
+Nc1nnc(CCc2c[nH]c3ccccc23)s1; ['NNC(N)=S', 'N#CCCc1c[nH]c2ccccc12']; ['O=C(O)CCc1c[nH]c2ccccc12', 'NNC(N)=S']; [0.9998984932899475, 0.9996938705444336]
+Nc1nnc(-c2cc(O)n3nccc3n2)s1; [None]; [None]; [0]
+CSc1cccc(-c2nnc(N)s2)c1; ['CSc1cccc(C(=O)O)c1']; ['NNC(N)=S']; [0.9999569654464722]
+Nc1nnc(Oc2ccc(F)cc2F)s1; ['Nc1nnc(Br)s1']; ['Oc1ccc(F)cc1F']; [0.9969716668128967]
+Cc1onc(-c2ccccc2)c1-c1nnc(N)s1; ['Cc1onc(-c2ccccc2)c1C(=O)O']; ['NNC(N)=S']; [0.9989503026008606]
+Nc1nnc(OCc2cccc3ccccc23)s1; [None]; [None]; [0]
+Nc1nnc(CCc2ccc(F)cc2F)s1; ['NNC(N)=S']; ['O=C(O)CCc1ccc(F)cc1F']; [0.999970018863678]
+Nc1nnc(NCc2c(F)cccc2Cl)s1; ['NCc1c(F)cccc1Cl']; ['Nc1nnc(Br)s1']; [0.9999897480010986]
 CN(c1nnc(N)s1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Nc1nnc(OCc2ccc(F)cc2F)s1; [None]; [None]; [0]
+COc1ccc(C=C2Oc3ccccc3C2=O)cc1OC; [None, 'COc1ccc(C=O)cc1OC', None]; [None, 'O=C1COc2ccccc21', None]; [0, 0.9997442364692688, 0]
+Nc1nnc(-c2ocnc2-c2ccc(F)cc2)s1; [None]; [None]; [0]
+Nc1nnc(-c2cn[nH]c2-c2ccc(Cl)cc2)s1; [None]; [None]; [0]
+Nc1nnc(-c2ccc3c(=O)[nH][nH]c3c2)s1; [None]; [None]; [0]
+O=C1C(=Cc2cnn(CCO)c2)Oc2ccccc21; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(C=C2Oc3ccccc3C2=O)cc1; [None]; [None]; [0]
+O=C1Nc2ccccc2C1=C1Oc2ccccc2C1=O; [None]; [None]; [0]
 O=C1C(=Cc2cc3c([nH]2)CCCC3)Oc2ccccc21; [None]; [None]; [0]
+Cc1cc(C)c(C=C2Oc3ccccc3C2=O)[nH]1; [None]; [None]; [0]
+Cc1ccc(O)c(-c2cccc(O)c2)c1; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)(C)[Si](C)(C)Oc1cccc(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'CC(C)(C)[Si](C)(C)Oc1cccc(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(Br)c1', 'C=CCOc1cccc(B(O)O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)cc1C(=O)O', 'Cc1ccc(O)c(Br)c1']; ['OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Cc1ccc(O)c(I)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Oc1cccc(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Oc1cccc(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Oc1cccc(Br)c1', 'Oc1cccc([B-](F)(F)F)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc([B-](F)(F)F)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1']; [0.9998469352722168, 0.9994952082633972, 0.9993734359741211, 0.9992755651473999, 0.9989170432090759, 0.9978177547454834, 0.9975206851959229, 0.9974961280822754, 0.9969702959060669, 0.9964226484298706, 0.9953150749206543, 0.9950706958770752, 0.9938529133796692, 0.9930105209350586, 0.9910134077072144, 0.9852522015571594, 0.9591315984725952, 0.9377053380012512, 0.9263619780540466, 0.8928803205490112, 0.8066359758377075, 0.8048684597015381]
+Cc1[nH]c(C=C2Oc3ccccc3C2=O)c(C)c1C; [None]; [None]; [0]
+Cc1ccc(O)c(-c2cccc3ncccc23)c1; ['Brc1cccc2ncccc12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1cccc2ncccc12', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Brc1cccc2ncccc12', 'Cc1ccc(O)c(Br)c1', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Cc1ccc(O)c(Br)c1', 'Br[Mg]c1cccc2ncccc12', 'Br[Mg]c1cccc2ncccc12', 'Cc1ccc(O)c(B(O)O)c1', 'Brc1cccc2ncccc12', 'Br[Mg]c1cccc2ncccc12', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(B(O)O)c1']; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Ic1cccc2ncccc12', 'Clc1cccc2ncccc12', 'Cc1ccc(O)c(B(O)O)c1', 'OB(O)c1cccc2ncccc12', 'Ic1cccc2ncccc12', 'Cc1ccc(O)c(I)c1', 'OB(O)c1cccc2ncccc12', 'Cc1ccc(O)c(Cl)c1', 'Ic1cccc2ncccc12', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Clc1cccc2ncccc12', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'OB(O)c1cccc2ncccc12', 'OCc1cccc2ncccc12']; [0.9999951124191284, 0.999956488609314, 0.9999165534973145, 0.999740719795227, 0.9991724491119385, 0.9991216659545898, 0.9979029893875122, 0.9975444674491882, 0.9975138902664185, 0.9968119859695435, 0.9946680068969727, 0.9916839599609375, 0.9909734725952148, 0.9903509616851807, 0.9693814516067505, 0.9493149518966675, 0.8321728110313416, 0.7760715484619141, 0.7549235224723816]
+Cc1ccc(O)c(-c2ccc(Cl)c(O)c2)c1; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9998165965080261, 0.9997013807296753, 0.9996800422668457, 0.9992789030075073, 0.9987527132034302, 0.99379563331604, 0.9925914406776428, 0.981427013874054, 0.9728682637214661, 0.9431909918785095, 0.8327747583389282]
+CNS(=O)(=O)c1ccc(-c2cc(C)ccc2O)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1']; [0.9993770718574524, 0.9977972507476807, 0.9910213351249695, 0.9810365438461304, 0.9787540435791016, 0.9526923298835754, 0.8424134254455566]
+Cc1ccc(O)c(-c2c(Cl)ccc3c2OCO3)c1; [None]; [None]; [0]
+Cc1ccc(O)c(-c2ccc(C(N)=O)cc2)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1', 'Cc1ccc(O)c(Cl)c1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.9996682405471802, 0.9992555379867554, 0.9947627782821655, 0.9829362630844116, 0.9817883968353271, 0.9695864915847778, 0.956716001033783, 0.9091517329216003, 0.9063999652862549, 0.8665590882301331]
+Cc1ccc(O)c(-c2n[nH]c3ccccc23)c1; ['Brc1n[nH]c2ccccc12', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1n[nH]c2ccccc12', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1n[nH]c2ccccc12', 'Clc1n[nH]c2ccccc12', 'Cc1ccc(O)c(B(O)O)c1', 'Ic1n[nH]c2ccccc12', 'Clc1n[nH]c2ccccc12']; [0.9998207092285156, 0.999144434928894, 0.9968964457511902, 0.9958160519599915, 0.966464102268219, 0.9584563970565796]
+Cc1ccc(O)c(Oc2ccc(F)cc2)c1; ['Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(O)c1', 'Cc1ccc(O)c(Br)c1']; ['Oc1ccc(F)cc1', 'OB(O)c1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9710637927055359, 0.9660232663154602, 0.9348231554031372]
+Cc1ccc(O)c(-c2ccc(C(N)=O)cc2F)c1; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Cc1ccc(O)c(Br)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)cc1']; ['NC(=O)c1ccc(Br)c(F)c1', 'Cc1ccc(O)c(Br)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'Cc1ccc(O)c(I)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'Cc1ccc(O)c(Cl)c1', 'NC(=O)c1ccc(Cl)c(F)c1', 'NC(=O)c1ccc(Cl)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; [0.9999122619628906, 0.9993484020233154, 0.9981490969657898, 0.9979317784309387, 0.9977074861526489, 0.9976985454559326, 0.997698187828064, 0.9770258665084839, 0.9752975702285767, 0.9744747877120972, 0.9151033163070679, 0.8835655450820923, 0.8807224035263062]
+Cc1ccc(O)c(-c2c(Cl)cccc2Cl)c1; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(I)c1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1', 'Clc1cccc(Cl)c1', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1']; [0.9998102188110352, 0.9989606142044067, 0.9973056316375732, 0.9948924779891968, 0.9911866188049316, 0.9861701726913452, 0.9822326898574829, 0.976852536201477, 0.9652217626571655, 0.9290689826011658, 0.9163142442703247, 0.9091261029243469, 0.8766629695892334, 0.8419718742370605, 0.7534936666488647]
+COc1cc(C(N)=O)ccc1-c1cc(C)ccc1O; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Cl)c1']; [0.9995637536048889, 0.9994832277297974, 0.9993919134140015, 0.995624303817749, 0.9791029691696167, 0.9713164567947388]
+Cc1ccc(O)c(-c2ccc(O)cc2Cl)c1; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['Oc1ccc(Br)c(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'OB(O)c1ccc(O)cc1Cl', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'Oc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Cl)c(Cl)c1']; [0.9999575614929199, 0.99981689453125, 0.9993956089019775, 0.9992220401763916, 0.9982081651687622, 0.9976046085357666, 0.9954005479812622, 0.9886648058891296, 0.9663952589035034, 0.922009289264679, 0.9140511751174927]
+Cc1ccc(O)c(-c2ccnc(N)n2)c1; ['Cc1ccc(O)c(C(=O)C=CN(C)C)c1', 'Cc1ccc2occc(=O)c2c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['N=C(N)N', 'N=C(N)N', 'Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Cl)n1']; [0.9999854564666748, 0.9999825954437256, 0.999907374382019, 0.9998200535774231, 0.9995373487472534]
+Cc1ccc(O)c(-c2cc(F)c3nc(C)[nH]c3c2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
+Cc1ccc(O)c(-c2ccc(O)cc2F)c1; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C']; ['Oc1ccc(Br)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Cc1ccc(O)c(Br)c1', 'Oc1ccc(Br)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(Br)c(F)c1', 'Cc1ccc(O)c(I)c1', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(Cl)c(F)c1', 'Oc1ccc(Br)c(F)c1', 'Cc1ccc(O)c(Cl)c1']; [0.9999253749847412, 0.9989497661590576, 0.9986460208892822, 0.997668981552124, 0.9967892169952393, 0.9951748847961426, 0.994759202003479, 0.9939765930175781, 0.9936360716819763, 0.9838887453079224, 0.9555559158325195, 0.9470232725143433, 0.8819813132286072]
+COc1ccc(F)cc1-c1cc(C)ccc1O; ['COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1N', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1', 'COc1ccc(F)c(C(=O)O)c1', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1', 'COc1ccc(F)cc1N', 'COc1ccc(F)cc1Cl']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(N)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(F)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)cc1']; [0.9999861717224121, 0.9999781847000122, 0.9999181032180786, 0.9999092817306519, 0.9998495578765869, 0.9998253583908081, 0.9996323585510254, 0.9993264675140381, 0.9992105960845947, 0.9991054534912109, 0.9987235069274902, 0.9979614615440369, 0.996509313583374, 0.9961461424827576, 0.9956608414649963, 0.9933517575263977, 0.9932947158813477, 0.9904485940933228, 0.9875103235244751, 0.9844412207603455, 0.9829827547073364, 0.9718598127365112, 0.9414697885513306, 0.9414035081863403, 0.9337713718414307, 0.9255033731460571, 0.871556282043457, 0.8531030416488647]
+COc1cc(F)ccc1-c1cc(C)ccc1O; ['COc1cc(F)ccc1Br', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(F)ccc1I', 'COc1cc(F)cc(C(=O)O)c1', 'COc1cccc(F)c1']; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(F)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)cc1C(=O)O', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1']; [0.999944806098938, 0.999931812286377, 0.9999217391014099, 0.9998794794082642, 0.9998219609260559, 0.9997966289520264, 0.9996411204338074, 0.9995393753051758, 0.9987497329711914, 0.9987385869026184, 0.9984247088432312, 0.9983423352241516, 0.9974074363708496, 0.9963201880455017, 0.9951639175415039, 0.9853987097740173, 0.9843921065330505, 0.9842512607574463, 0.9823816418647766, 0.9819053411483765, 0.9782820343971252, 0.935057520866394, 0.9290841817855835, 0.9197602272033691, 0.8888512253761292, 0.8221781253814697, 0.8201621770858765]
+COc1cc(-c2cc(C)ccc2O)ccc1O; ['COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1ccccc1O']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(N)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1']; [0.9996515512466431, 0.9993674755096436, 0.999291718006134, 0.9992680549621582, 0.9983196258544922, 0.9964437484741211, 0.9963690042495728, 0.9961491227149963, 0.9947071075439453, 0.9910396337509155, 0.9876365065574646, 0.9871119260787964, 0.9813751578330994, 0.9807701110839844, 0.977496862411499, 0.9682208895683289, 0.9426059722900391, 0.9406943917274475, 0.926608145236969, 0.9117713570594788, 0.8951389789581299, 0.7722535133361816]
+Cc1ccc(O)c(-c2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
+COc1cc(CCc2cc(C)ccc2O)ccc1O; ['C=Cc1ccc(O)c(OC)c1', 'COc1cc(CCO)ccc1O']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)cc1']; [0.8787363171577454, 0.7870265245437622]
+COC(=O)c1ccc(-c2cc(C)ccc2O)o1; ['COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1', 'COC(=O)c1ccc(B(O)O)o1']; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1']; [0.9999693632125854, 0.9995180368423462, 0.9985003471374512, 0.9965757727622986, 0.9862063527107239, 0.9673349261283875, 0.931422770023346]
 Cc1ccc(O)c(-c2ccc(-c3ccc(O)cc3O)cc2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2cnn3ncccc23)c1; [None]; [None]; [0]
+Cc1ccc(O)c(-c2cccc(Br)c2)c1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Brc1cccc(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Br[Mg]c1cccc(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Cl)c1', 'Brc1cccc(I)c1', 'Br[Mg]c1cccc(Br)c1', 'Brc1cccc(I)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(Br)c1', 'Brc1cccc(Br)c1', None, 'Br[Mg]c1cccc(Br)c1']; ['Cc1ccc(O)c(I)c1', 'OB(O)c1cccc(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'OB(O)c1cccc(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Clc1cccc(Br)c1', 'Cc1ccc(O)c(I)c1', 'F[B-](F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'OB(O)c1cccc(Br)c1', 'F[B-](F)(F)c1cccc(Br)c1', 'Cc1ccc(O)c(I)c1', None, 'Cc1ccc(O)c(F)c1']; [0.9996816515922546, 0.9996510744094849, 0.9995448589324951, 0.9989343881607056, 0.9987963438034058, 0.9964016675949097, 0.9945491552352905, 0.9876331090927124, 0.987116277217865, 0.9851511120796204, 0.9796586036682129, 0.9608113765716553, 0.951444149017334, 0.9303330183029175, 0.894221305847168, 0.8933842182159424, 0.893090546131134, 0.8468848466873169, 0, 0.780888557434082]
+Cc1ccc(O)c(-c2ccc(O)c(F)c2)c1; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1']; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Oc1ccc(Br)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(I)cc1F', 'Oc1ccc(I)cc1F', 'Oc1ccc(Br)cc1F', 'Cc1ccc(O)c(Cl)c1', 'Oc1ccc(Cl)cc1F', 'Oc1ccc(I)cc1F', 'Oc1ccc(Br)cc1F', 'Oc1ccc(Cl)cc1F', 'Oc1ccc(Br)cc1F', 'OB(O)c1ccc(O)c(F)c1']; [0.9999264478683472, 0.999737024307251, 0.9994708299636841, 0.99851393699646, 0.9984946250915527, 0.9980037212371826, 0.9971927404403687, 0.9957460165023804, 0.9873270988464355, 0.9868162870407104, 0.983761191368103, 0.9551342725753784, 0.9290860295295715, 0.8550666570663452, 0.7550131678581238]
+Cc1ccc(O)c(-c2cnn3ncccc23)c1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1']; [0.9997904896736145, 0.9980428218841553]
+Cc1ccc(O)c(-c2cn(C)c3ccccc23)c1; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; [0.9993501305580139, 0.983563244342804]
+Cc1ccc(O)c(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(-c2ccnc(N)c2)c1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Nc1cc(I)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(I)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(Cl)ccn1', 'Nc1cc(Cl)ccn1', 'Nc1cc(B(O)O)ccn1']; [0.9996606111526489, 0.9996586441993713, 0.9993975162506104, 0.9991244673728943, 0.9981063604354858, 0.9978896379470825, 0.9959790706634521, 0.995591402053833, 0.9917792081832886, 0.9888461828231812]
+Cc1ccc(O)c(-c2c[nH]c3cnccc23)c1; ['Brc1c[nH]c2cnccc12', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Brc1c[nH]c2cnccc12', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Brc1c[nH]c2cnccc12']; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'Cc1ccc(O)c(B(O)O)c1', 'Ic1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'c1cc2cc[nH]c2cn1', 'Cc1ccc(O)cc1']; [0.9999576210975647, 0.9998052716255188, 0.9994276762008667, 0.9987005591392517, 0.9985702037811279, 0.9985231757164001, 0.9893714189529419, 0.9252206087112427]
+Cc1ccc(O)c(COc2ccccc2Cl)c1; ['Cc1ccc(O)c(CO)c1', 'Cc1ccc(O)c(CO)c1', 'Cc1ccc(O)c(CO)c1']; ['Fc1ccccc1Cl', 'Clc1ccccc1Br', 'Clc1ccccc1I']; [0.8817171454429626, 0.8690992593765259, 0.8345065116882324]
+Cc1ccc(O)c(-c2ccc(O)cc2O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cc(C)ccc2O)c1; ['COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(N)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; ['Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1']; [0.9996596574783325, 0.9995203614234924, 0.9994457960128784, 0.999184250831604, 0.997961163520813, 0.9978194236755371, 0.997773289680481, 0.9948239922523499, 0.9943056106567383, 0.9861555099487305, 0.9785158634185791, 0.9763733744621277, 0.9357939958572388, 0.8992801904678345, 0.8989640474319458, 0.8747545480728149, 0.8653849363327026, 0.8193873763084412, 0.8112243413925171]
+Cc1ccc(O)c(-c2cc(O)ccc2Cl)c1; ['Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['Oc1ccc(Cl)c(I)c1', 'OB(O)c1cc(O)ccc1Cl', 'OB(O)c1cc(O)ccc1Cl', 'Oc1ccc(Cl)c(Br)c1']; [0.9902578592300415, 0.9889161586761475, 0.9775629639625549, 0.960273027420044]
+Cc1ccc(O)c(-c2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(-c2ccc(F)c(Cl)c2)c1; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(F)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(I)c1']; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(I)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(I)cc1Cl', 'Fc1ccc([Mg]Br)cc1Cl', 'Fc1ccc([Mg]Br)cc1Cl', 'Fc1ccc([B-](F)(F)F)cc1Cl', 'Fc1ccc([B-](F)(F)F)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccc(I)cc1Cl', 'Fc1ccc([Mg]Br)cc1Cl', 'O=C(O)c1cccc(F)c1Cl', 'O=Cc1cccc(F)c1Cl']; [0.9999850392341614, 0.9999772310256958, 0.9997141361236572, 0.999683141708374, 0.9989222884178162, 0.9988174438476562, 0.9987856149673462, 0.9984991550445557, 0.9980050325393677, 0.9943440556526184, 0.9921126365661621, 0.9919028282165527, 0.9839394092559814, 0.9754682183265686, 0.9535058736801147, 0.9305700063705444, 0.9115458726882935, 0.893869161605835, 0.8878960609436035, 0.8382505178451538, 0.7945535182952881]
+Cc1ccc(O)c(-c2cnc(O)c(Cl)c2)c1; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['Cc1ccc(O)c(Br)c1', 'Oc1ncc(I)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(I)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Cl)cc1Cl']; [0.999845027923584, 0.9956912398338318, 0.9955083727836609, 0.9851254820823669, 0.9625945091247559, 0.8372881412506104]
+Cc1ccc(O)c(-c2cc(CO)ccc2C)c1; ['Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1Cl']; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1']; [0.9999867677688599, 0.9999611973762512, 0.9999550580978394, 0.9995990991592407, 0.998406171798706, 0.9954707026481628, 0.9909809827804565, 0.9905382394790649, 0.9502643346786499, 0.8651496171951294]
+Cc1ccc(O)c(-c2c[nH]c(C(N)=O)c2)c1; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['NC(=O)c1cc(Br)c[nH]1', 'NC(=O)c1cc(Br)c[nH]1']; [0.9977928400039673, 0.9777694344520569]
+COc1ccc(-c2cc(C)ccc2O)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc([B-](F)(F)F)cc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc([B-](F)(F)F)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccccc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(Br)cc1OC']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(F)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1']; [0.999700665473938, 0.9996346235275269, 0.9996124505996704, 0.9989584684371948, 0.9978704452514648, 0.996770977973938, 0.9958947896957397, 0.9946205615997314, 0.9945634007453918, 0.9894363880157471, 0.9824072122573853, 0.979705810546875, 0.9751842021942139, 0.9732290506362915, 0.9661893844604492, 0.9572329521179199, 0.9403562545776367, 0.8965576887130737, 0.8732935786247253, 0.8385219573974609, 0.8128089308738708, 0.8119604587554932, 0.7643855214118958]
+COc1cc(CCc2cc(C)ccc2O)cc(OC)c1; ['COc1cc(CCO)cc(OC)c1']; ['Cc1ccc(O)cc1']; [0.8797568082809448]
+Cc1ccc(O)c(-c2c(C)ccc3[nH]ncc23)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(C)ccc2O)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1cc(OC)cc([Mg]Br)c1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(F)c1', 'Cc1ccc(O)c(Cl)c1']; [0.999880313873291, 0.9998311996459961, 0.9995254278182983, 0.9989630579948425, 0.9982339143753052, 0.9979631304740906, 0.9976012706756592, 0.9958781003952026, 0.9956719875335693, 0.993518590927124, 0.9918389320373535, 0.9906309843063354, 0.9898122549057007, 0.9894607067108154, 0.9882171154022217, 0.9719820022583008, 0.9700988531112671, 0.9663302898406982, 0.9195162057876587, 0.8398380279541016, 0.8038747906684875, 0.7637388706207275, 0.7520111203193665]
+Cc1ccc(O)c(-c2ccc3nc(C)[nH]c3c2)c1; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1']; [0.999495267868042, 0.9992324113845825, 0.99855637550354, 0.9783639907836914, 0.9672198295593262, 0.9495611190795898]
+CCOc1cccc(-c2cc(C)ccc2O)c1; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc([Mg]Br)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc([Mg]Br)c1', 'CCOc1cccc([Mg]Br)c1']; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(F)c1', 'Cc1ccc(O)c(Cl)c1']; [0.9999315738677979, 0.9997549057006836, 0.9997416138648987, 0.999701976776123, 0.9993827939033508, 0.9989838600158691, 0.9986038208007812, 0.9950383901596069, 0.9914819002151489, 0.9914239645004272, 0.9850172996520996, 0.9848716259002686, 0.9705449342727661, 0.8421932458877563, 0.8406165838241577]
+Cc1ccc(O)c(-c2cnc3[nH]ccc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1']; [0.9999673366546631, 0.9995142221450806, 0.999496340751648, 0.9986016750335693, 0.9961307644844055, 0.9918447136878967, 0.9899349212646484, 0.9878072738647461, 0.9824755191802979, 0.9708728790283203]
+Cc1ccc(O)c(-c2ccc(NC(N)=O)cc2)c1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'NC(=O)Nc1ccc(Br)cc1']; [0.9998433589935303, 0.9997603893280029, 0.9602453708648682]
+Cc1ccc(O)c(-c2ccc(S(C)(=O)=O)cc2)c1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1']; [0.9999672770500183, 0.9999469518661499, 0.9990042448043823, 0.997727632522583, 0.9962352514266968, 0.9961817264556885, 0.9949329495429993, 0.9857536554336548, 0.9808234572410583, 0.979458212852478, 0.9578568935394287, 0.9518623352050781, 0.9219964742660522]
+Cc1ccc(O)c(-c2nc3ccccc3s2)c1; ['Brc1nc2ccccc2s1', 'Cc1ccc(O)c(C=O)c1', 'Cc1ccc(O)c(C(=O)O)c1', 'Cc1ccc(O)c(C=O)c1', 'Cc1ccc(O)c(C=O)c1', 'Brc1nc2ccccc2s1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(C=O)c1']; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Nc1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'Nc1ccccc1SSc1ccccc1N', 'Cc1ccc(O)c(B(O)O)c1', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999426603317261, 0.9998618960380554, 0.9998555779457092, 0.9997482299804688, 0.9991776943206787, 0.9972366094589233, 0.9846471548080444, 0.8586139678955078]
+Cc1ccc(O)c(-c2cncc(O)c2)c1; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(OS(=O)(=O)C(F)(F)F)c([Si](C)(C)C)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['Oc1cncc(Br)c1', 'Cc1ccc(O)c(I)c1', 'Oc1cncc(I)c1', 'Cc1ccc(O)c(Br)c1', 'Oc1cncc(I)c1', 'Oc1cncc(Br)c1', '[O-][n+]1cccc(O)c1', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Cl)c1', 'Oc1cncc(Br)c1', 'Oc1cccnc1']; [0.999801516532898, 0.9990599155426025, 0.9984261989593506, 0.9982880353927612, 0.996598482131958, 0.988568127155304, 0.9883750081062317, 0.9853538274765015, 0.9692388772964478, 0.9677022099494934, 0.9035131931304932, 0.7869569659233093]
+Cc1ccc(O)c(-c2ccc3c(c2)CC(=O)N3)c1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1']; ['Cc1ccc(O)c(Br)c1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'Cc1ccc(O)c(I)c1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'Cc1ccc(O)c(Cl)c1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(I)ccc2N1']; [0.9994121193885803, 0.9992741346359253, 0.9991236925125122, 0.9969959259033203, 0.9944672584533691, 0.9924315810203552, 0.990997314453125, 0.9905976057052612, 0.9801523685455322, 0.9183002710342407, 0.8972763419151306, 0.8840529918670654, 0.8547385931015015, 0.8424030542373657]
+CNC(=O)c1cccc2cc(-c3cc(C)ccc3O)ccc12; [None]; [None]; [0]
+CNc1nccc(-c2cc(C)ccc2O)n1; ['CNC(=N)N', 'CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['Cc1ccc(O)c(C(=O)C=CN(C)C)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1']; [0.9997237920761108, 0.9993318319320679, 0.9953935742378235]
+CCc1cc(O)ccc1-c1cc(C)ccc1O; ['CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Cl', 'CCc1cc(O)ccc1Br']; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1']; [0.999849259853363, 0.9991673827171326, 0.9990848302841187, 0.9966186881065369, 0.9949005246162415, 0.9942128658294678, 0.8675823211669922]
 Cc1ccc(O)c(N(C)c2ccc3c(C)n[nH]c3c2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(-c2cc(C(F)F)n[nH]2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(-c2[nH]nc(C)c2C)c1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cc(C)ccc1O; [None]; [None]; [0]
+CNc1nc(-c2cc(C)ccc2O)ncc1F; ['CNc1nc(Cl)ncc1F']; ['Cc1ccc(O)c(B(O)O)c1']; [0.9980154633522034]
+Cc1ccc(O)c(N(C)c2cccc(Cl)c2)c1; ['CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1']; [0.9888017177581787, 0.9571918249130249, 0.8877121806144714]
+Cc1ccc(O)c(-c2ccc(O)cc2C)c1; [None]; [None]; [0]
+CCc1sccc1-c1cc(C)ccc1O; [None]; [None]; [0]
+Cc1ccc(O)c(-c2ccc3c(c2)CCN3)c1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Brc1ccc2c(c1)CCN2', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Brc1ccc2c(c1)CCN2']; ['Cc1ccc(O)c(Br)c1', 'OB(O)c1ccc2c(c1)CCN2', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'OB(O)c1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2', 'Cc1ccc(O)c(B(O)O)c1']; [0.9997051954269409, 0.9942224025726318, 0.990479588508606, 0.9881542921066284, 0.9844459295272827, 0.9526098966598511]
+Cc1ccc(O)c(-c2ccncc2Cl)c1; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['Clc1cnccc1Br', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Clc1cnccc1Br', 'Clc1cnccc1I', 'OB(O)c1ccncc1Cl', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1I', 'Clc1ccncc1Cl', 'Clc1ccncc1Cl']; [0.9996073246002197, 0.9994627833366394, 0.99742192029953, 0.9955815672874451, 0.9937674403190613, 0.9931259155273438, 0.9914474487304688, 0.9892175197601318, 0.9875363111495972, 0.910412073135376]
+Cc1ccc(O)c([C@H](C)CC(N)=O)c1; [None]; [None]; [0]
+Cc1ccc(O)c(-c2cc(Cl)c(O)c(Cl)c2)c1; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(I)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'O=Cc1ccc(Cl)c(O)c1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cccc1Cl', 'Oc1c(Cl)cccc1Cl']; [0.9998831748962402, 0.9997545480728149, 0.9991581439971924, 0.9981613159179688, 0.9947292804718018, 0.9934588074684143, 0.989559531211853, 0.9845123887062073, 0.977964460849762, 0.9686408638954163, 0.8252636194229126, 0.8079205751419067, 0.7793042659759521]
+Cc1ccc(O)c(-c2c(N)cnn2C)c1; [None]; [None]; [0]
+Cc1ccc(O)c(Nc2ccncc2)c1; ['Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(N)c1', 'CCOc1cc(C)ccc1O', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(N)c1', 'Cc1ccc(O)c(N)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(F)c1', 'Cc1ccc(O)c(N)c1', 'Cc1ccc(O)c(N)c1', 'Cc1ccc(O)c(N)c1', 'Brc1ccncc1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(I)c1', 'CCOc1ccncc1', 'Cc1ccc(O)c(O)c1', 'COc1cc(C)ccc1O']; ['Nc1ccncc1', 'OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Ic1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Oc1ccncc1', 'Clc1ccncc1', 'Cc1ccc(O)c(N)c1', 'Nc1ccncc1', 'Nc1ccncc1', 'Cc1ccc(O)c(N)c1', 'Nc1ccncc1', 'Nc1ccncc1']; [0.9994319677352905, 0.9992871284484863, 0.9940894246101379, 0.9908790588378906, 0.9894082546234131, 0.9797970056533813, 0.9783048629760742, 0.9744953513145447, 0.9651318788528442, 0.9589118361473083, 0.9563030004501343, 0.9465057849884033, 0.9257510900497437, 0.8955747485160828, 0.8665492534637451, 0.8221255540847778, 0.8188002109527588]
+Cc1ccc(O)c(-c2ccc3[nH]c(=O)[nH]c3c2)c1; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1']; ['Cc1ccc(O)c(Br)c1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'Cc1ccc(O)c(I)c1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'Cc1ccc(O)c(Cl)c1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.999754786491394, 0.9993431568145752, 0.9990731477737427, 0.9987478852272034, 0.9970420598983765, 0.9968078136444092, 0.995023250579834, 0.9915299415588379, 0.9888715744018555, 0.9822902083396912, 0.9747592210769653, 0.9571107625961304, 0.9549868702888489, 0.8887193202972412, 0.810497522354126]
+Cc1ccc(O)c(-c2[nH]nc3ccc(F)cc23)c1; [None]; [None]; [0]
 Cc1ccc(O)c(-c2cc(O)n3nccc3n2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(C)ccc2O)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(I)cc1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1']; [0.9998553991317749, 0.9998529553413391, 0.997246503829956, 0.9953708648681641, 0.9934874176979065, 0.9930035471916199, 0.9830455183982849, 0.9377254247665405, 0.9073269963264465]
+Cc1ccc(O)c(-c2ccc(Br)cc2F)c1; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Br)c1', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1']; ['Fc1cc(Br)ccc1Br', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1I', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Fc1cc(Br)ccc1I', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1Cl', 'Fc1cc(Br)ccc1I', 'Cc1ccc(O)c(Cl)c1', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Cl', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Cl']; [0.9998235106468201, 0.9993329048156738, 0.9989525675773621, 0.9988332986831665, 0.9986128807067871, 0.9964883327484131, 0.994362473487854, 0.990226149559021, 0.9834599494934082, 0.9789693355560303, 0.9739328622817993, 0.9618384838104248, 0.9514959454536438, 0.9192858934402466, 0.9078745245933533, 0.9076187014579773, 0.8910243511199951, 0.8105704188346863]
 Cc1ccc(O)c(-c2cc(C(=O)[O-])c(C)o2)c1; [None]; [None]; [0]
-Cc1ccc(O)c(N(C)c2cccc3[nH]ncc23)c1; [None]; [None]; [0]
-Cc1ccc(O)c(-c2ocnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
-COc1cc(-c2cnn3ncccc23)ccc1O; [None]; [None]; [0]
-COc1cc(-c2ccc(-c3ccc(O)cc3O)cc2)ccc1O; [None]; [None]; [0]
+Cc1ccc(O)c(N(C)c2cccc3[nH]ncc23)c1; ['CNc1cccc2[nH]ncc12']; ['Cc1ccc(O)c(Br)c1']; [0.9677789211273193]
+Cc1ccc(O)c(-c2cc(O)cc(Br)c2)c1; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)cc1Br', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1']; ['OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'Cc1ccc(O)c(I)c1', 'Oc1cc(Br)ccc1Br', 'Oc1cc(Br)cc(I)c1', 'O=C(O)c1ccc(Br)cc1O', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Cl)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'O=Cc1ccc(Br)cc1O', 'Cc1ccc(O)c(Br)c1', 'O=C(O)c1ccc(O)cc1Br', 'Oc1cc(Cl)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(I)c1']; [0.9999459981918335, 0.9995894432067871, 0.9994373321533203, 0.9989999532699585, 0.9966802000999451, 0.99518883228302, 0.9942196607589722, 0.9906235337257385, 0.9824234247207642, 0.9778107404708862, 0.976290225982666, 0.9520158767700195, 0.9507665634155273, 0.9327137470245361, 0.9290012121200562, 0.8613735437393188, 0.8344895243644714, 0.7834306955337524]
+Cc1ccc(O)c(-c2ccc(C(N)=O)c(C)c2)c1; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Cl)c1']; [0.9995364546775818, 0.9985973834991455, 0.9982138872146606, 0.9976884722709656, 0.9966244697570801, 0.9962255954742432, 0.944367527961731]
+Cc1ccc(O)c(-c2ccc3nc(C)oc3c2)c1; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Cl)cc2o1']; [0.9999637603759766, 0.9999502897262573, 0.9999500513076782, 0.9999489188194275, 0.999110758304596, 0.9975689053535461, 0.9972736835479736, 0.9940011501312256]
+Cc1ccc(O)c(-c2ccc(C(=O)NC3CC3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'Cc1ccc(O)c(Cl)c1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999966621398926, 0.9999897480010986, 0.9998623728752136, 0.9997022747993469, 0.9996067881584167, 0.9994823932647705, 0.9993643760681152, 0.9981242418289185, 0.9969921112060547, 0.9875491857528687, 0.9875265955924988, 0.9399585127830505, 0.9252417087554932]
+Cc1ccc(O)c(-c2ccc3c(=O)[nH][nH]c3c2)c1; ['Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1']; ['O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12']; [0.9992794990539551, 0.9964171648025513]
+CSc1cccc(-c2cc(C)ccc2O)c1; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Br)c1', 'CSc1cccc([Mg]Br)c1', 'CSc1cccc([B-](F)(F)F)c1', 'CSc1cccc([Mg]Br)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc([B-](F)(F)F)c1', 'CSc1cccc([Mg]Br)c1']; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(F)c1']; [0.9998410940170288, 0.9996179342269897, 0.9990060329437256, 0.9989161491394043, 0.9986180663108826, 0.9971338510513306, 0.9922664165496826, 0.9910377264022827, 0.9787225723266602, 0.9786393642425537, 0.9736088514328003, 0.9649655818939209, 0.9470252990722656, 0.9295929670333862, 0.9221910238265991, 0.8764365911483765, 0.8648033738136292, 0.8134332299232483]
+Cc1ccc(O)c(-c2ocnc2-c2ccc(F)cc2)c1; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1']; ['Fc1ccc(-c2cocn2)cc1', 'Fc1ccc(-c2cocn2)cc1']; [0.999442458152771, 0.9971897602081299]
+Cc1ccc(O)c(-c2cc(C)c(O)c(C)c2)c1; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1ccc(O)c(B(O)O)c1']; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1cccc(C)c1O']; [0.9979380369186401, 0.9975186586380005, 0.9896759986877441, 0.9838763475418091, 0.976553738117218, 0.97640061378479, 0.9477682709693909, 0.937911868095398, 0.8583859205245972, 0.8565208911895752, 0.7915506958961487]
+Cc1ccc(O)c(-c2cc(F)c(O)c(F)c2)c1; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(Br)c1']; ['Cc1ccc(O)c(Br)c1', 'Oc1c(F)cc(Br)cc1F', 'Cc1ccc(O)c(I)c1', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(Br)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F', 'O=Cc1ccc(F)c(O)c1F', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(Cl)cc1F', 'Oc1c(F)cccc1F']; [0.9995633363723755, 0.9989171624183655, 0.9986836910247803, 0.994757890701294, 0.9892427325248718, 0.9842208623886108, 0.9837536811828613, 0.9563392400741577, 0.9487333297729492, 0.9451011419296265, 0.9193373918533325, 0.870856523513794, 0.752089262008667]
+Cc1ccc(O)c(Oc2ccc(F)cc2F)c1; ['Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(O)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(O)c1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(O)c1', 'Cc1ccc(O)c(O)c1', 'Cc1ccc(O)c(O)c1']; ['Oc1ccc(F)cc1F', 'Fc1ccc(Br)c(F)c1', 'Oc1ccc(F)cc1F', 'OB(O)c1ccc(F)cc1F', 'Oc1ccc(F)cc1F', 'Fc1ccc(I)c(F)c1', 'Fc1ccc(F)c(F)c1', 'Fc1ccc(Cl)c(F)c1']; [0.9986253976821899, 0.9943376779556274, 0.9922277927398682, 0.9893143177032471, 0.9265731573104858, 0.9158825874328613, 0.8496730327606201, 0.7817449569702148]
+Cc1ccc(O)c(CCc2c[nH]c3ccccc23)c1; ['Cc1ccc(O)cc1']; ['OCCc1c[nH]c2ccccc12']; [0.8416460752487183]
+Cc1ccc(O)c(-c2c(-c3ccccc3)noc2C)c1; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(B(O)O)c1', 'Cc1ccc(O)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(O)c(Cl)c1', 'Cc1ccc(O)cc1']; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1I', 'Cc1onc(-c2ccccc2)c1I', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1I']; [0.9998618960380554, 0.9997048377990723, 0.9992601871490479, 0.9970402121543884, 0.9952690601348877, 0.8007411956787109]
+Cc1ccc(O)c(NCc2c(F)cccc2Cl)c1; ['Cc1ccc(O)c(I)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(N)c1', 'Cc1ccc(O)c(N)c1', 'Cc1ccc(O)c(N)c1', 'Cc1ccc(O)c(N)c1', 'Cc1ccc(O)c(Cl)c1']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CBr', 'Fc1cccc(Cl)c1CCl', 'OCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.9991302490234375, 0.9966394305229187, 0.9934691190719604, 0.9919487237930298, 0.972183346748352, 0.9404357075691223, 0.9166170358657837]
+Cc1ccc(O)c(OCc2ccc(F)cc2F)c1; ['Cc1ccc(O)c(O)c1', 'Cc1ccc(O)c(Br)c1', 'Cc1ccc(O)c(O)c1']; ['Fc1ccc(CCl)c(F)c1', 'OCc1ccc(F)cc1F', 'Fc1ccc(CBr)c(F)c1']; [0.9902735352516174, 0.9896073341369629, 0.9744257926940918]
+Cc1ccc(O)c(OCc2cccc3ccccc23)c1; ['Cc1ccc(O)c(O)c1', 'Cc1ccc(O)c(Br)c1', 'BrCc1cccc2ccccc12', 'Cc1ccc(O)c(F)c1']; ['ClCc1cccc2ccccc12', 'OCc1cccc2ccccc12', 'Cc1ccc(O)c(O)c1', 'OCc1cccc2ccccc12']; [0.9761487245559692, 0.8442956209182739, 0.844196081161499, 0.8002736568450928]
+Cc1ccc(O)c(-c2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(CCc2ccc(F)cc2F)c1; ['C=Cc1ccc(F)cc1F', 'Cc1ccc(O)cc1', 'Cc1ccc(O)c(I)c1', 'Cc1ccc(O)cc1']; ['Cc1ccc(O)c(I)c1', 'OCCc1ccc(F)cc1F', 'Fc1ccc(CCBr)c(F)c1', 'Fc1ccc(CCBr)c(F)c1']; [0.9923502206802368, 0.9825181365013123, 0.9721803665161133, 0.9477090835571289]
+COc1cc(-c2cccc3ncccc23)ccc1O; ['Brc1cccc2ncccc12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'Brc1cccc2ncccc12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'COc1cc(B(O)O)ccc1O', 'Br[Mg]c1cccc2ncccc12', 'Brc1cccc2ncccc12', 'COc1cc(Cl)ccc1O']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1cccc2ncccc12', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'Ic1cccc2ncccc12', 'Clc1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'Clc1cccc2ncccc12', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'OB(O)c1cccc2ncccc12']; [0.9999986886978149, 0.9999948143959045, 0.9999946355819702, 0.9999898672103882, 0.9998685121536255, 0.9998537302017212, 0.9996697902679443, 0.9996398687362671, 0.9996196627616882, 0.9988099932670593, 0.997262179851532, 0.995786726474762, 0.9683094024658203, 0.8718359470367432]
+COc1cc(-c2cccc(O)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC(C)(C)[Si](C)(C)Oc1cccc(B(O)O)c1', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(N)ccc1O', 'CC(C)(C)[Si](C)(C)Oc1cccc(Br)c1', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O[Si](C)(C)C(C)(C)C', 'COc1c(O)cccc1C(=O)O', 'COc1cc(Br)ccc1O', 'C=CCOc1cccc(B(O)O)c1', 'COc1cc(Cl)ccc1O', None, 'C=CCOc1ccc(Br)cc1OC', 'COc1cc(I)ccc1O']; ['Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1', 'Oc1cccc(I)c1', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Cl)c1', 'Oc1cccc(I)c1', 'Oc1cccc(I)c1', 'Nc1cccc(O)c1', 'Oc1cccc(Br)c1', 'Oc1cccc([B-](F)(F)F)c1', 'OB(O)c1cccc(O)c1', 'COc1cc(B(O)O)ccc1O', 'Oc1cccc([B-](F)(F)F)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1', 'COc1cc(Br)ccc1O', 'Oc1cccc(Br)c1', None, 'OB(O)c1cccc(O)c1', 'O=C(O)c1ccccc1O']; [0.9999784231185913, 0.9999610781669617, 0.9998863935470581, 0.9998692274093628, 0.9996479749679565, 0.9995118379592896, 0.9994430541992188, 0.999061644077301, 0.9978445768356323, 0.9976004362106323, 0.9974485039710999, 0.9973757266998291, 0.9973385334014893, 0.9962316155433655, 0.9944277405738831, 0.9936884641647339, 0.9934103488922119, 0.9934055805206299, 0.9932276010513306, 0.9917597770690918, 0.9853415489196777, 0.9842938184738159, 0.9841910600662231, 0.9586142897605896, 0.9534767866134644, 0.9427217841148376, 0.9063336849212646, 0, 0.821230411529541, 0.7940046787261963]
+COc1cc(-c2c(Cl)ccc3c2OCO3)ccc1O; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ccccc23)ccc1O; ['Brc1n[nH]c2ccccc12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'Brc1n[nH]c2ccccc12', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1n[nH]c2ccccc12', 'Clc1n[nH]c2ccccc12', 'Ic1n[nH]c2ccccc12', 'COc1cc(B(O)O)ccc1O', 'c1ccc2[nH]ncc2c1', 'Clc1n[nH]c2ccccc12']; [0.9999880790710449, 0.9999722838401794, 0.999294638633728, 0.9990929365158081, 0.9990056753158569, 0.9747445583343506, 0.9742932915687561]
+CNS(=O)(=O)c1ccc(-c2ccc(O)c(OC)c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O[Si](C)(C)C(C)(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(I)ccc1O']; [0.999747633934021, 0.9995617866516113, 0.9993623495101929, 0.9992285966873169, 0.9984843730926514, 0.9971901178359985, 0.9943078756332397, 0.994194507598877, 0.9788089990615845, 0.9784913063049316, 0.9784646034240723, 0.8395803570747375]
+COc1cc(-c2ccc(Cl)c(O)c2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)cc2)ccc1O; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', None, 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1O']; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(B(O)O)cc1', None, 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1']; [0.9999880790710449, 0.999975323677063, 0.9998815655708313, 0.9998045563697815, 0.9997976422309875, 0.9992615580558777, 0.9991695880889893, 0.9924647808074951, 0.989529013633728, 0.9886458516120911, 0, 0.9715290069580078, 0.9513227343559265, 0.8056904673576355]
+COc1cc(-c2c(Cl)cccc2Cl)ccc1O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)cc2F)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O']; ['NC(=O)c1ccc(Br)c(F)c1', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Cl)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; [0.99998939037323, 0.9999488592147827, 0.9999374151229858, 0.9998891353607178, 0.9995774030685425, 0.9987510442733765, 0.997624397277832, 0.989725649356842, 0.907261848449707]
+COc1cc(-c2ccc(C(N)=O)cc2OC)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(B(O)O)ccc1O', 'COc1cc(C(N)=O)ccc1Br']; ['COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(I)ccc1O', 'COc1cc(C(N)=O)ccc1Br', 'COc1cc(I)ccc1O']; [0.9999368190765381, 0.9998457431793213, 0.9997111558914185, 0.9985376596450806, 0.8233954906463623]
+COc1cc(Oc2ccc(F)cc2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2ccnc(N)n2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1']; [0.999995231628418, 0.9999762773513794, 0.9998866319656372, 0.9978328943252563]
+COc1cc(-c2ccc(O)cc2Cl)ccc1O; [None]; [None]; [0]
+COc1cc(-c2cc(F)c3nc(C)[nH]c3c2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2cn[nH]c2Cl)ccc1O; [None]; [None]; [0]
+COc1cc(-c2cc(F)ccc2OC)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O[Si](C)(C)C(C)(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'C=CCOc1ccc(Br)cc1OC', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'COc1cc(I)ccc1O', 'COc1cc(F)ccc1O', 'COc1cc(Br)ccc1O']; ['COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccccc1O', 'COc1ccccc1O', 'COc1ccc(F)c(C(=O)O)c1', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1']; [0.9999921321868896, 0.9999735355377197, 0.9999076128005981, 0.9998632669448853, 0.9996640682220459, 0.99959397315979, 0.999571681022644, 0.9988069534301758, 0.9984056353569031, 0.9976081848144531, 0.9971591830253601, 0.9965870976448059, 0.9964948892593384, 0.9961504936218262, 0.9937916994094849, 0.9872696995735168, 0.9872579574584961, 0.9727195501327515, 0.9711761474609375, 0.944879949092865, 0.9121869802474976, 0.909765899181366, 0.7983006834983826, 0.7897452116012573]
+COc1cc(-c2ccc(F)cc2OC)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O[Si](C)(C)C(C)(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O', 'C=CCOc1ccc(Br)cc1OC', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'COc1c(O)cccc1C(=O)O', 'COc1cc(F)ccc1I', 'COc1cc(F)cc(C(=O)O)c1']; ['COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1B(O)O', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1I', 'COc1ccc(C(=O)O)cc1O', 'COc1cc(I)ccc1O']; [0.9999223947525024, 0.9998663067817688, 0.9997703433036804, 0.9997235536575317, 0.9996553659439087, 0.9995956420898438, 0.9995518326759338, 0.9994404911994934, 0.9992400407791138, 0.9969640970230103, 0.9962438344955444, 0.9952282309532166, 0.9935154914855957, 0.9847071766853333, 0.9752450585365295, 0.896575391292572, 0.8832353353500366, 0.796794056892395]
+COc1cc(-c2ccc(O)cc2F)ccc1O; [None]; [None]; [0]
+COc1cc(-c2ccc(O)c(OC)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O[Si](C)(C)C(C)(C)C', 'COc1cc(I)ccc1O']; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O']; [0.9999229311943054, 0.9997130632400513, 0.998907744884491, 0.9974014759063721, 0.9941781163215637, 0.99191814661026, 0.9693896770477295, 0.9559036493301392, 0.912394106388092, 0.9091883301734924, 0.7541921138763428]
+COc1cc(-c2ccc(-c3ccc(O)cc3O)cc2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; [0.9995511770248413, 0.9810693264007568, 0.9638516902923584]
+COC(=O)c1ccc(-c2ccc(O)c(OC)c2)o1; ['COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(C(=O)O)ccc1O']; [0.9999955892562866, 0.9999450445175171, 0.9997222423553467, 0.9979772567749023, 0.9940794706344604, 0.9919745922088623, 0.9717060327529907, 0.9628371000289917, 0.887566089630127, 0.8852554559707642, 0.873553991317749, 0.7939188480377197]
+COc1cc(-c2ccc(C(=O)[O-])cc2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['O=C([O-])c1ccc(Cl)cc1']; [0.9973464012145996]
+COc1cc(-c2cccc(Br)c2)ccc1O; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(I)c1', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Brc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'COc1cc(I)ccc1O', 'Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(N)ccc1O', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Br[Mg]c1cccc(Br)c1', 'COc1cc(Br)ccc1O', 'Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1']; ['COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Clc1cccc(Br)c1', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'OB(O)c1cccc(Br)c1', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O', 'Nc1cccc(Br)c1', 'F[B-](F)(F)c1cccc(Br)c1', 'Clc1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1O', 'OB(O)c1cccc(Br)c1', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(Br)ccc1O', 'F[B-](F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'COc1c(O)cccc1C(=O)O', 'COc1cc([B-](F)(F)F)ccc1O']; [0.9999626874923706, 0.9999419450759888, 0.999862790107727, 0.9998441934585571, 0.9995333552360535, 0.9992374777793884, 0.9991909861564636, 0.9990345239639282, 0.997815728187561, 0.9975246787071228, 0.9942741990089417, 0.9891635179519653, 0.9879968166351318, 0.9864902496337891, 0.9680628776550293, 0.9670491218566895, 0.9630452394485474, 0.9605467319488525, 0.9465118646621704, 0.884921669960022, 0.8846011161804199, 0.8413573503494263, 0.8360863327980042]
+COc1cc(CCc2ccc(O)c(OC)c2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2ccc3ccccc3c2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2ccc(O)c(F)c2)ccc1O; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O[Si](C)(C)C(C)(C)C', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O']; ['COc1cc(Br)ccc1O', 'Oc1ccc(Br)cc1F', 'COc1cc(I)ccc1O', 'Oc1ccc(I)cc1F', 'Oc1ccc(Cl)cc1F', 'COc1cc(Cl)ccc1O', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(I)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F', 'Oc1ccc(Br)cc1F', 'Oc1ccc(Cl)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F', 'Oc1ccc(I)cc1F', 'Oc1ccc(Br)cc1F', 'Oc1ccc(Cl)cc1F', 'Oc1ccc(Br)cc1F']; [0.9999357461929321, 0.9999154806137085, 0.9998739957809448, 0.9995479583740234, 0.9993459582328796, 0.9991140961647034, 0.9975591897964478, 0.9946120381355286, 0.9942041039466858, 0.989059329032898, 0.975020706653595, 0.974311888217926, 0.9727815985679626, 0.9719976186752319, 0.9372802972793579, 0.8779420852661133, 0.8535391092300415, 0.8067985773086548]
+COc1cc(-c2cn(C)c3ccccc23)ccc1O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc(O)c(OC)c2)c1; ['COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)cc1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1ccccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1ccccc1O', 'COc1cc(Cl)ccc1O']; [0.9999942183494568, 0.999991774559021, 0.9999889135360718, 0.9999804496765137, 0.9999679923057556, 0.9999596476554871, 0.99994295835495, 0.9997299313545227, 0.99969482421875, 0.9995958805084229, 0.9995484352111816, 0.9991012811660767, 0.9982167482376099, 0.9977331161499023, 0.9953548908233643, 0.9644479751586914, 0.9264766573905945, 0.8243136405944824, 0.8116494417190552, 0.7590103149414062]
+COc1cc(-c2cnn3ncccc23)ccc1O; ['Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O']; [0.9999885559082031, 0.9999778270721436, 0.9999192953109741, 0.9997566938400269]
+COc1cc(-c2ccc(O)cc2O)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(I)ccc1O']; ['Oc1ccc(Br)c(O)c1', 'Oc1ccc(Br)c(O)c1', 'Oc1ccc(Cl)c(O)c1', 'Oc1ccc(Br)c(O)c1', 'Oc1cccc(O)c1', 'Oc1cccc(O)c1']; [0.9996525049209595, 0.9925340414047241, 0.9770321249961853, 0.9636791944503784, 0.8639137744903564, 0.7953101396560669]
+COc1cc(-c2c[nH]c3cnccc23)ccc1O; ['Brc1c[nH]c2cnccc12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'Brc1c[nH]c2cnccc12']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1c[nH]c2cnccc12', 'Ic1c[nH]c2cnccc12', 'COc1cc(B(O)O)ccc1O']; [0.999967098236084, 0.9998494386672974, 0.9800418019294739, 0.9620833396911621]
+COc1cc(-c2ccnc(N)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1ccccc1O']; ['Nc1cc(Br)ccn1', 'COc1cc(Br)ccc1O', 'Nc1cc(Cl)ccn1', 'Nc1cc(I)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(I)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Cl)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1']; [0.9999953508377075, 0.9999866485595703, 0.9999809861183167, 0.9998846054077148, 0.9995676279067993, 0.999405026435852, 0.9991897940635681, 0.9990339279174805, 0.9990226030349731, 0.9981815814971924, 0.9861411452293396, 0.840345025062561]
+COc1cc(COc2ccccc2Cl)ccc1O; [None, 'COc1cc(CO)ccc1O', 'COc1cc(CO)ccc1O', 'COc1cc(CO)ccc1O']; [None, 'Clc1ccccc1I', 'Fc1ccccc1Cl', 'Clc1ccccc1Br']; [0, 0.9424147605895996, 0.9406781196594238, 0.9393815994262695]
+COc1cc(-c2c(C)ccc3[nH]ncc23)ccc1O; ['COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; ['Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O']; [0.9999637603759766, 0.9999370574951172, 0.9984315037727356, 0.9983055591583252]
+COc1cc(-c2[nH]cnc2-c2ccc(F)cc2)ccc1O; ['COc1cc(I)ccc1O']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.8880701065063477]
+COc1cc(-c2c[nH]c(C(N)=O)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['NC(=O)c1cc(Br)c[nH]1', 'NC(=O)c1cc(Br)c[nH]1']; [0.9999408721923828, 0.9918643236160278]
+COc1cc(-c2cnc(O)c(Cl)c2)ccc1O; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O']; ['COc1cc(Br)ccc1O', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(I)cc1Cl', 'COc1cc(I)ccc1O', 'Oc1ncc(I)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Cl)cc1Cl', 'Oc1ncccc1Cl']; [0.9999954700469971, 0.999990701675415, 0.9999899864196777, 0.9999819397926331, 0.9999266266822815, 0.9975766539573669, 0.988314151763916, 0.98185133934021, 0.8363211154937744]
+COc1cc(-c2ccc(F)c(Cl)c2)ccc1O; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1O', 'COc1ccccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1ccc(C(=O)O)cc1O', 'COc1c(O)cccc1C(=O)O']; ['COc1cc(Br)ccc1O', 'Fc1ccc(Br)cc1Cl', 'COc1cc(I)ccc1O', 'Fc1ccc(I)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc([B-](F)(F)F)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccc([Mg]Br)cc1Cl', 'O=C(O)c1cccc(F)c1Cl', 'O=C(O)c1ccc(Cl)c(F)c1', 'Fc1ccc(Br)cc1Cl', 'Fc1ccccc1Cl', 'Fc1ccccc1Cl', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(I)cc1Cl']; [0.9999961853027344, 0.9999932050704956, 0.9999926090240479, 0.9999489188194275, 0.9999434947967529, 0.9996410608291626, 0.9991200566291809, 0.9986671209335327, 0.9977991580963135, 0.9973315000534058, 0.9951151609420776, 0.9906240701675415, 0.9854241609573364, 0.9849836826324463, 0.9815715551376343, 0.9743469953536987, 0.9563944339752197, 0.9417343139648438, 0.9206587672233582, 0.9057307839393616, 0.8815601468086243]
+COc1cc(-c2cc(CO)ccc2C)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O']; ['Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B(O)O']; [0.9999944567680359, 0.9999665021896362, 0.9999665021896362, 0.9999353885650635, 0.9997348189353943, 0.9996849298477173, 0.9996216297149658, 0.9993994235992432, 0.9993124008178711, 0.9949132204055786, 0.9934992790222168, 0.9909576177597046, 0.989619255065918, 0.9415042400360107, 0.9372434616088867]
+COc1cc(-c2cc(O)ccc2Cl)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'COc1cc(I)ccc1O', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C']; ['Oc1ccc(Cl)c(Br)c1', 'Oc1ccc(Cl)c(I)c1', 'COc1cc(Br)ccc1O', 'OB(O)c1cc(O)ccc1Cl', 'COc1cc(I)ccc1O', 'Oc1ccc(Cl)c(Cl)c1', 'Oc1ccc(Cl)c(I)c1', 'OB(O)c1cc(O)ccc1Cl', 'Oc1ccc(Cl)c(Br)c1', 'Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(Cl)c1', 'Oc1ccc(Cl)c(Br)c1', 'COc1cc(Cl)ccc1O']; [0.9998477101325989, 0.9998384714126587, 0.9995881915092468, 0.9995337128639221, 0.9994538426399231, 0.9992093443870544, 0.9990354776382446, 0.9975459575653076, 0.9954422116279602, 0.9767048358917236, 0.9663096070289612, 0.965290904045105, 0.9651175737380981]
+COc1cc(OC)cc(-c2ccc(O)c(OC)c2)c1; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)cc(OC)c1', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O']; ['COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)ccc1O', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cccc(OC)c1', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1cccc(OC)c1']; [0.9999907612800598, 0.9999831914901733, 0.9999632835388184, 0.9999595880508423, 0.9999452829360962, 0.9999434947967529, 0.9999342560768127, 0.9998759031295776, 0.9998029470443726, 0.9997773170471191, 0.9997144341468811, 0.9995894432067871, 0.9993654489517212, 0.999162495136261, 0.998736560344696, 0.9958919286727905, 0.9941006302833557, 0.992102324962616, 0.9911365509033203, 0.9882745742797852, 0.9814893007278442, 0.9798066020011902, 0.9685773253440857, 0.9540242552757263, 0.7848031520843506]
+COc1cc(-c2ccc(OC)c(OC)c2)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O[Si](C)(C)C(C)(C)C', 'COc1cc(Cl)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc([B-](F)(F)F)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc([B-](F)(F)F)cc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccccc1OC']; [0.9999536275863647, 0.9999536275863647, 0.9998412132263184, 0.9998412132263184, 0.9995260238647461, 0.9994406700134277, 0.9994406700134277, 0.99907386302948, 0.99907386302948, 0.9987667798995972, 0.9987667798995972, 0.9981836080551147, 0.9981836080551147, 0.9909225106239319, 0.9909225106239319, 0.9885165691375732, 0.9885165691375732, 0.9810479879379272, 0.9810479879379272, 0.9562480449676514, 0.9562480449676514, 0.9109170436859131, 0.9067661762237549, 0.9067661762237549, 0.8275452256202698, 0.811646580696106]
+COc1cc(-c2cnc3[nH]ccc3c2)ccc1O; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'COc1cc(B(O)O)ccc1O']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'Ic1cnc2[nH]ccc2c1', 'COc1cc(I)ccc1O', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'Clc1cnc2[nH]ccc2c1']; [0.9999997615814209, 0.9999996423721313, 0.9999968409538269, 0.9999961853027344, 0.9997277855873108, 0.9996581077575684, 0.9990657567977905, 0.9983661770820618, 0.9983426332473755, 0.997931718826294]
+COc1cc(-c2ccc3nc(C)[nH]c3c2)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1']; [0.9999806880950928, 0.9999569654464722, 0.9999378323554993, 0.9990968108177185, 0.9933626651763916, 0.9266496896743774]
+COc1cc(-c2ccc(NC(N)=O)cc2)ccc1O; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'NC(=O)Nc1ccc(Br)cc1', 'NC(=O)Nc1ccc(Br)cc1', 'NC(=O)Nc1ccc(Cl)cc1']; [0.9999866485595703, 0.9999752640724182, 0.9999450445175171, 0.9985643029212952, 0.9972233176231384]
+COc1cc(CCc2ccc(O)c(OC)c2)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1']; ['COc1cc(I)ccc1O']; [0.877287745475769]
+CNC(=O)c1cccc2cc(-c3ccc(O)c(OC)c3)ccc12; [None]; [None]; [0]
+COc1cc(-c2ccc(S(C)(=O)=O)cc2)ccc1O; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'CS(=O)(=O)c1ccc(-c2ccc(O)c(F)c2)cc1', None]; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'COc1cc(Cl)ccc1O', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'C[O-]', None]; [0.9999802708625793, 0.9999279975891113, 0.9998738169670105, 0.9998167753219604, 0.999724805355072, 0.9997040033340454, 0.9996591806411743, 0.9995940923690796, 0.9991160035133362, 0.9973912239074707, 0.9953947067260742, 0.9943047761917114, 0.9942502975463867, 0.9914538860321045, 0.9878826141357422, 0.9725304841995239, 0.925251841545105, 0.9003342986106873, 0]
+CCOc1cccc(-c2ccc(O)c(OC)c2)c1; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(I)c1', 'CCOc1ccccc1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc([Mg]Br)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc([Mg]Br)c1', 'CCOc1cccc([Mg]Br)c1', 'CCOc1cccc(Br)c1']; ['COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1ccccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(F)ccc1O', 'COc1cc(Br)ccc1O']; [0.9999845027923584, 0.9999839663505554, 0.9999431371688843, 0.9999011158943176, 0.9998725652694702, 0.9997872710227966, 0.9996011257171631, 0.9994456171989441, 0.9983026385307312, 0.9965502619743347, 0.9962319135665894, 0.9888850450515747, 0.9790562391281128, 0.9700887203216553, 0.9674934148788452, 0.9667596817016602, 0.858666181564331, 0.8579295873641968, 0.8118462562561035, 0.7939439415931702]
+COc1cc(-c2cncc(O)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Cl)ccc1O']; ['Oc1cncc(I)c1', 'Oc1cncc(Br)c1', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'Oc1cncc(I)c1', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1', 'Oc1cncc(Cl)c1', 'Oc1cncc(Br)c1', 'OB(O)c1cncc(O)c1']; [0.9999823570251465, 0.9999779462814331, 0.9999581575393677, 0.9999473094940186, 0.9996725916862488, 0.9963324069976807, 0.9867697954177856, 0.984050989151001, 0.9718537330627441, 0.867438793182373, 0.8161991834640503]
+COc1cc(-c2ccc3c(c2)CC(=O)N3)ccc1O; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O']; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'COc1cc(Cl)ccc1O', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1']; [0.9997578859329224, 0.9993901252746582, 0.9993773698806763, 0.9989792108535767, 0.99879390001297, 0.9971717596054077, 0.9958330392837524, 0.9943004846572876, 0.9907321929931641, 0.985609769821167, 0.9221408367156982, 0.9045853614807129, 0.9034096002578735]
+CNc1nccc(-c2ccc(O)c(OC)c2)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; [0.9996553659439087, 0.994477391242981]
+COc1cc(-c2[nH]nc(C)c2C)ccc1O; [None]; [None]; [0]
 COc1cc(N(C)c2ccc3c(C)n[nH]c3c2)ccc1O; [None]; [None]; [0]
-COc1cc(-c2cc(O)n3nccc3n2)ccc1O; [None]; [None]; [0]
+COc1cc(N(C)c2cccc(Cl)c2)ccc1O; ['CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1']; ['COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O']; [0.9719640016555786, 0.9502731561660767, 0.9281142950057983]
+CCc1cc(O)ccc1-c1ccc(O)c(OC)c1; ['CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1Cl', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Br']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; [0.999955415725708, 0.9998109340667725, 0.9997564554214478, 0.9995985627174377, 0.999234676361084, 0.9986482858657837, 0.813602864742279]
+COc1cc(-c2cc(C(F)F)n[nH]2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2ccncc2Cl)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O']; ['Clc1cnccc1Br', 'Clc1cnccc1I', 'COc1cc(Br)ccc1O', 'Clc1ccncc1Cl', 'Clc1cnccc1Br', 'OB(O)c1ccncc1Cl', 'Clc1ccncc1Cl', 'OB(O)c1ccncc1Cl']; [0.9999942779541016, 0.9999812245368958, 0.9999667406082153, 0.99994957447052, 0.9997602701187134, 0.9992518424987793, 0.9989398717880249, 0.9987363815307617]
+CCc1cc(O)c(F)cc1-c1ccc(O)c(OC)c1; [None]; [None]; [0]
+COc1cc([C@H](C)CC(N)=O)ccc1O; [None]; [None]; [0]
+COc1cc(-c2ccc(O)cc2C)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'C=CCOc1ccc(Br)c(C)c1', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'C=CCOc1ccc(Br)cc1OC', 'COc1cc(I)ccc1O']; ['Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1I', 'COc1cc(B(O)O)ccc1O', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B(O)O', 'Cc1cccc(O)c1']; [0.9998992681503296, 0.9997972249984741, 0.999778687953949, 0.9997639060020447, 0.9996439218521118, 0.9990819692611694, 0.9990140795707703, 0.9972648620605469, 0.9971010684967041, 0.9959840774536133, 0.9783813953399658, 0.8961085081100464, 0.867453932762146, 0.8631906509399414, 0.8462250232696533, 0.7888634204864502]
+CNc1nc(-c2ccc(O)c(OC)c2)ncc1F; ['CNc1nc(Cl)ncc1F', 'CNc1nc(Cl)ncc1F']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; [0.99998939037323, 0.9998483657836914]
+COc1cc(-c2ccc3c(c2)CCN3)ccc1O; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Brc1ccc2c(c1)CCN2', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'Brc1ccc2c(c1)CCN2', 'COc1cc(Br)ccc1O']; ['COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'OB(O)c1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2', 'COc1cc(B(O)O)ccc1O', 'OB(O)c1ccc2c(c1)CCN2']; [0.9999937415122986, 0.9999864101409912, 0.996580958366394, 0.992851197719574, 0.9875232577323914, 0.9719157814979553]
+CCc1sccc1-c1ccc(O)c(OC)c1; [None]; [None]; [0]
+COc1cc(Nc2ccncc2)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(N)ccc1O', 'Brc1ccncc1', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(F)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'CCOc1ccncc1', 'COc1cc(Cl)ccc1O']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Clc1ccncc1', 'COc1cc(N)ccc1O', 'Ic1ccncc1', 'Fc1ccncc1', 'Nc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Nc1ccncc1', 'Oc1ccncc1', 'Nc1ccncc1', 'COc1cc(N)ccc1O', 'Nc1ccncc1']; [0.9995816946029663, 0.9988042116165161, 0.9956404566764832, 0.9956278204917908, 0.9928638935089111, 0.97416752576828, 0.9732174873352051, 0.9728386402130127, 0.9713090062141418, 0.962928295135498, 0.9618594646453857, 0.945129930973053, 0.9102010130882263, 0.8982527256011963]
+COc1cc(-c2cc(O)n3nccc3n2)ccc1O; ['COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O']; ['Oc1ccnc2ccnn12', 'Oc1cc(O)n2nccc2n1', 'Oc1ccnc2ccnn12', 'Oc1ccnc2ccnn12']; [0.999940037727356, 0.9996885061264038, 0.9994388818740845, 0.9967423677444458]
+COc1cc(-c2c(N)cnn2C)ccc1O; [None]; [None]; [0]
+COc1cc(-c2cc(Cl)c(O)c(Cl)c2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2[nH]nc3ccc(F)cc23)ccc1O; ['COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O']; ['Fc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; [0.9967421293258667, 0.9960304498672485]
+CNC(=O)c1ccc(-c2ccc(O)c(OC)c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CN', None]; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(-c2ccc(C(=O)O)cc2)ccc1O', None]; [0.999980092048645, 0.9999629855155945, 0.9997956156730652, 0.9997851848602295, 0.9997713565826416, 0.9997210502624512, 0.9996200799942017, 0.9995537996292114, 0.9988965392112732, 0.998254120349884, 0.9952477812767029, 0.9948809146881104, 0.9903521537780762, 0]
+COc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)ccc1O; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; ['COc1cc(Br)ccc1O', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'COc1cc(I)ccc1O', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'COc1cc(Cl)ccc1O', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.9999500513076782, 0.9999025464057922, 0.999839186668396, 0.9994720816612244, 0.9993025064468384, 0.9988412857055664, 0.998653769493103, 0.9986488819122314, 0.9985408782958984, 0.998358964920044, 0.9870377779006958, 0.9637271165847778, 0.9569301605224609, 0.9301016926765442, 0.7748621702194214]
 COc1cc(-c2cc(C(=O)[O-])c(C)o2)ccc1O; [None]; [None]; [0]
-COc1cc(N(C)c2cccc3[nH]ncc23)ccc1O; [None]; [None]; [0]
+COc1cc(N(C)c2cccc3[nH]ncc23)ccc1O; ['CNc1cccc2[nH]ncc12']; ['COc1cc(Br)ccc1O']; [0.9013075828552246]
+COc1cc(-c2ccc(Br)cc2F)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O']; ['Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1I', 'COc1cc(I)ccc1O', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Cl', 'Fc1cc(Br)ccc1Br', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1Cl', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1I', 'OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1I', 'Fc1cccc(Br)c1', 'Fc1cccc(Br)c1']; [0.9999851584434509, 0.9999785423278809, 0.9999772906303406, 0.9999647736549377, 0.9998736381530762, 0.9995629787445068, 0.9991569519042969, 0.998575747013092, 0.9985265731811523, 0.9981963634490967, 0.9967764616012573, 0.9957379102706909, 0.9954577684402466, 0.9856719374656677, 0.9845844507217407, 0.9658613204956055, 0.9300891160964966, 0.8835890889167786]
+COc1cc(-c2ccc(C(N)=O)c(C)c2)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O']; [0.9999317526817322, 0.9998804330825806, 0.9998642206192017, 0.9998349547386169, 0.999709963798523, 0.9988007545471191, 0.9985290765762329]
+COc1cc(-c2ccc(C(=O)NC3CC3)cc2)ccc1O; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(-c2ccc(C(=O)O)cc2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'COc1ccccc1O']; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'COc1cc(Cl)ccc1O', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'NC1CC1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999986886978149, 0.9999953508377075, 0.9999899864196777, 0.9999809265136719, 0.9999796152114868, 0.9999785423278809, 0.9999770522117615, 0.9999752044677734, 0.9999074339866638, 0.9998701810836792, 0.9996846318244934, 0.9763767719268799, 0.8947064876556396]
+COc1cc(-c2ccc3nc(C)oc3c2)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(I)ccc1O']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Cl)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccccc2o1']; [0.999995768070221, 0.9999817609786987, 0.9999773502349854, 0.9999464750289917, 0.9997981786727905, 0.9994065165519714, 0.9978710412979126, 0.9971460103988647, 0.8012769818305969]
+COc1cc(-c2cc(O)cc(Br)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'CC(C)(C)[Si](C)(C)Oc1cc(Br)cc(B(O)O)c1', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'COc1cc(B(O)O)ccc1O[Si](C)(C)C(C)(C)C', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'C=CCOc1ccc(Br)cc1OC', 'COc1c(O)cccc1C(=O)O']; ['Oc1cc(Br)cc(I)c1', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'O=C(O)c1ccc(Br)cc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'Oc1cc(Cl)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'O=Cc1ccc(Br)cc1O', 'COc1cc(Br)ccc1O', 'Oc1cc(Br)cc(Br)c1', 'O=C(O)c1ccc(O)cc1Br', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Cl)cc(Br)c1', 'COc1cc(Cl)ccc1O', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(I)c1']; [0.999943733215332, 0.9998911619186401, 0.9997365474700928, 0.9997018575668335, 0.9995585680007935, 0.9992563724517822, 0.9992092847824097, 0.9991780519485474, 0.9942831993103027, 0.9936742782592773, 0.9933873414993286, 0.9900510311126709, 0.9884083271026611, 0.9843127131462097, 0.9842462539672852, 0.9657288789749146, 0.9409385919570923, 0.9319429397583008, 0.9100395441055298, 0.8876581192016602, 0.873916506767273]
+COc1cc(-c2cc(C)c(O)c(C)c2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2cc(F)c(O)c(F)c2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2ccc3c(=O)[nH][nH]c3c2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2cccc(SC)c2)ccc1O; ['COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(I)ccc1O', 'C=CCOc1ccc(Br)cc1OC', 'COc1cc(Cl)ccc1O', 'COc1cc(Cl)ccc1O']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc([B-](F)(F)F)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(Br)c1', 'CSc1cccc([Mg]Br)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc([Mg]Br)c1']; [0.9999805092811584, 0.9999630451202393, 0.9999362230300903, 0.9998581409454346, 0.9997019171714783, 0.9958215355873108, 0.989204466342926, 0.9855225086212158, 0.9800208806991577, 0.9796295166015625, 0.9608227610588074, 0.9578142166137695, 0.9533687829971313, 0.9488519430160522, 0.9418166875839233, 0.8922717571258545, 0.7853682041168213]
+COc1cc(CCc2c[nH]c3ccccc23)ccc1O; ['COc1cc(CCO)ccc1O']; ['c1ccc2[nH]ccc2c1']; [0.7549554109573364]
 COc1cc(-c2ocnc2-c2ccc(F)cc2)ccc1O; [None]; [None]; [0]
+COc1cc(NCc2c(F)cccc2Cl)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', None, 'COc1cc(N)ccc1O', 'COc1cc(C=O)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc([N+](=O)[O-])ccc1O']; ['Fc1cccc(Cl)c1CBr', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CCl', 'OCc1c(F)cccc1Cl', None, 'O=Cc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl']; [0.9995555877685547, 0.999463677406311, 0.9993736743927002, 0.9990971088409424, 0.9951481223106384, 0, 0.9912101626396179, 0.9175692200660706, 0.8545282483100891, 0.762920081615448]
+COc1cc(OCc2cccc3ccccc23)ccc1O; [None]; [None]; [0]
+COc1cc(-c2c(-c3ccccc3)noc2C)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1ccccc1O']; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1I', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1I']; [0.9999337196350098, 0.9998853206634521, 0.9998226165771484, 0.9592937231063843]
+COc1cc(CCc2ccc(F)cc2F)ccc1O; ['C=Cc1ccc(F)cc1F', 'C=Cc1ccc(O)c(OC)c1']; ['COc1cc(I)ccc1O', 'Fc1ccc(I)c(F)c1']; [0.988694429397583, 0.9408260583877563]
+COc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)ccc1O; [None]; [None]; [0]
+COc1cc(Oc2ccc(F)cc2F)ccc1O; [None]; [None]; [0]
+COc1cc(C=Cc2ccc(O)c(OC)c2)ccc1O; ['C=Cc1ccc(O)c(OC)c1', 'C=Cc1ccc(O)c(OC)c1', 'C=Cc1ccc(O)c(OC)c1', 'C=Cc1ccc(O)c(OC)c1']; ['COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O']; [0.9918197393417358, 0.9826062321662903, 0.9728564023971558, 0.8095415830612183]
+COc1cc(OCc2ccc(F)cc2F)ccc1O; [None]; [None]; [0]
+COc1cc(C=Cc2ccc(O)cc2)ccc1O; ['C=Cc1ccc(O)cc1', 'C=Cc1ccc(O)cc1', 'C=Cc1ccc(O)c(OC)c1', 'C=Cc1ccc(O)c(OC)c1', 'C=Cc1ccc(O)c(OC)c1', 'C=Cc1ccc(O)c(OC)c1', 'C=Cc1ccc(O)cc1', 'C=Cc1ccc(O)cc1', None, None]; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'Oc1ccc(I)cc1', 'Oc1ccc(Br)cc1', 'Oc1ccc(Cl)cc1', 'Oc1ccccc1', 'COc1ccccc1O', 'COc1cc(Cl)ccc1O', None, None]; [0.9959191679954529, 0.9956905245780945, 0.9885919094085693, 0.9826738238334656, 0.9343832731246948, 0.9186402559280396, 0.9098037481307983, 0.9046765565872192, 0, 0]
+COc1cc(C=Cc2ccc(O)cc2O)ccc1O; [None, 'C=Cc1ccc(O)c(OC)c1', 'COc1cc(C=O)ccc1O']; [None, 'Oc1ccc(Br)c(O)c1', 'O=Cc1ccc(O)cc1O']; [0, 0.9703677892684937, 0.9356957674026489]
+CNC(=O)c1ccccc1-c1ccc2ncccc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1Br', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CNC(=O)c1ccccc1B(O)O', 'Brc1ccc2ncccc2c1', 'CNC(=O)c1ccccc1B(O)O', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CNC(=O)c1ccccc1', 'CNC(=O)c1ccccc1']; ['CNC(=O)c1ccccc1Br', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'CNC(=O)c1ccccc1I', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'CNC(=O)c1ccccc1B(O)O', 'Clc1ccc2ncccc2c1', 'CNC(=O)c1ccccc1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; [0.9999997019767761, 0.9999995231628418, 0.999999463558197, 0.9999994039535522, 0.9999987483024597, 0.9999973773956299, 0.9999947547912598, 0.9999755620956421, 0.9999563694000244, 0.999369740486145, 0.8128400444984436]
+COc1cc(C=C2C(=O)Nc3ccc(Cl)cc32)ccc1O; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc2ncccc2c1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Brc1ccc2cccnc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'Brc1ccc2ncccc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1cccc(Br)c1', 'Brc1cccc2ncccc12', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1', 'Brc1ccc2ncccc2c1', 'CC(C)S(=O)(=O)c1ccccc1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Ic1ccc2ncccc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'OB(O)c1ccc2ncccc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Clc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'F[B-](F)(F)c1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC(C)S(=O)(=O)c1ccccc1Br', 'OB(O)c1ccc2ncccc2c1', 'c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; [0.9999994039535522, 0.9999983310699463, 0.9999979138374329, 0.9999946355819702, 0.999991238117218, 0.9999901056289673, 0.999976396560669, 0.9999688863754272, 0.999954104423523, 0.9999262094497681, 0.9996664524078369, 0.9991457462310791, 0.9964869022369385, 0.9657013416290283, 0.9067878127098083, 0.884119987487793]
+CCOc1ccccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3ncccc3c2)[nH]1; [None]; [None]; [0]
+COC(C)(C)CCc1ccc2ncccc2c1; ['Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'COC(C)(C)CBr']; ['CCC(C)(C)OC', 'C#CC(C)(C)OC', 'Cc1ccc2ncccc2c1']; [0.9587920904159546, 0.8804653882980347, 0.7632513046264648]
+CP(C)(=O)c1ccccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ccc3ncccc3c2)c1; [None]; [None]; [0]
+CCn1cc(-c2ccc3ncccc3c2)cn1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CCn1cc(B(O)O)cn1', 'Brc1ccc2ncccc2c1', 'CCn1cc(Br)cn1', 'CCn1cccn1', 'CCn1cc(Cl)cn1', 'CCn1cc(B(O)O)cn1', 'Brc1ccc2ncccc2c1']; ['CCn1cc(I)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1ccc2ncccc2c1', 'CCn1cc(Br)cn1', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'CCn1cc(B(O)O)cn1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'CCn1cccn1']; [0.9999997019767761, 0.9999995827674866, 0.9999990463256836, 0.9999969601631165, 0.9999927282333374, 0.9999853372573853, 0.9999310970306396, 0.9996958374977112, 0.9996743202209473, 0.9996245503425598, 0.999572217464447, 0.9995412230491638, 0.990799605846405]
+c1cnc2ccc(-c3ccnc4ccccc34)cc2c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccc2ncccc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C']; ['O=C([O-])c1ccccc1']; [0.9708993434906006]
+Cn1cnc2ccc(-c3ccc4ncccc4c3)cc2c1=O; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Cn1cnc2ccc(Br)cc2c1=O']; ['Cn1cnc2ccc(Br)cc2c1=O', 'OB(O)c1ccc2ncccc2c1']; [0.9999900460243225, 0.9999634623527527]
+c1ccc(Cn2cc(-c3ccc4ncccc4c3)cn2)cc1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'Brc1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1ccc2ncccc2c1', 'Brc1cnn(Cc2ccccc2)c1', 'Clc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1ccc2ncccc2c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'c1ccc(Cn2cccn2)cc1']; [0.9999997615814209, 0.9999994039535522, 0.9999992847442627, 0.9999991059303284, 0.999996542930603, 0.9999954700469971, 0.9999797344207764, 0.99994957447052, 0.9998533725738525, 0.9997920989990234, 0.9956799149513245]
+FC(F)(F)c1cccc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3ccc4ncccc4c3)[nH]2)cc1; [None]; [None]; [0]
+OCCn1cc(-c2ccc3ncccc3c2)cn1; [None]; [None]; [0]
+CC(C)C(=O)COc1ccc2ncccc2c1; ['CC(C)C(=O)CBr', 'CC(C)C(=O)CCl']; ['Oc1ccc2ncccc2c1', 'Oc1ccc2ncccc2c1']; [0.9874210357666016, 0.9866658449172974]
+CC(C)(C)c1nc(-c2ccc3ncccc3c2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccc3ncccc3c2)c1)c1ccccc1; [None]; [None]; [0]
+O=c1c2c(F)cccc2cnn1-c1ccc2ncccc2c1; [None]; [None]; [0]
+COc1cnc(-c2ccc3ncccc3c2)nc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2ccc3ncccc3c2)c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c([Mg]Br)c1', 'Clc1ccc(Cl)c(Br)c1', 'Brc1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Br[Zn]c1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1', 'Clc1ccc(Cl)c(I)c1', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Clc1ccc(Cl)c([Mg]Br)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)cc1', 'Clc1ccc(Cl)cc1', 'Clc1ccc(Cl)cc1', 'Brc1ccc2ncccc2c1', 'COc1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Clc1ccc(Cl)cc1', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c([Mg]Br)c1', 'Br[Mg]c1ccc2ncccc2c1', 'Clc1ccc(Cl)c(I)c1', 'Br[Mg]c1ccc2ncccc2c1']; ['Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Clc1ccc(Cl)c(I)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'F[B-](F)(F)c1ccc2ncccc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)cc1', 'Clc1ccc(Cl)c([Zn]Br)c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Clc1ccc(Cl)c([Mg]Br)c1', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc2ncccc2c1', 'c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'F[B-](F)(F)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Clc1ccc(Cl)cc1', 'Clc1ccc(Cl)c([Mg]Br)c1', 'Clc1ccc(Cl)cc1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'c1ccc2ncccc2c1', 'c1ccc2ncccc2c1', 'Clc1ccc(Cl)c(Cl)c1', 'c1ccc2ncccc2c1', 'COc1cc(Cl)ccc1Cl']; [0.9999997615814209, 0.9999985694885254, 0.9999964833259583, 0.9999945163726807, 0.9999908804893494, 0.999990701675415, 0.9999846816062927, 0.9999713897705078, 0.9999591112136841, 0.9999518394470215, 0.9999418258666992, 0.9999182820320129, 0.9999054074287415, 0.9998738765716553, 0.9998424053192139, 0.999833345413208, 0.9997285008430481, 0.9996756315231323, 0.9996606111526489, 0.9996546506881714, 0.9992523193359375, 0.9990664124488831, 0.9985145330429077, 0.9984981417655945, 0.9978399276733398, 0.9977009296417236, 0.9972019195556641, 0.9912703037261963, 0.9821136593818665, 0.9759234189987183, 0.9527642726898193, 0.9463493824005127, 0.9435813426971436, 0.943496584892273, 0.9432237148284912, 0.9111320376396179, 0.8332576751708984, 0.8228176832199097]
+c1cnc2ccc(-c3cnc4cccnn34)cc2c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'c1cnn2ccnc2c1']; [0.9999998211860657, 0.999997615814209, 0.9996311068534851]
+Cc1ccc(-c2ccc3ncccc3c2)c(Br)c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(F)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(C(=O)O)c(Br)c1', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Cc1ccc(Br)c(Br)c1', 'Brc1ccc2ncccc2c1', 'Brc1cccc2ncccc12', 'Cc1cccc(Br)c1', 'Cc1cccc(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Br[Mg]c1ccc2ncccc2c1', 'Brc1ccc2cccnc2c1', 'Cc1cc(Br)cc(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Brc1ccc2ncccc2c1', 'Cc1ccc(Cl)c(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Clc1ccc2ncccc2c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(F)c(Br)c1', 'F[B-](F)(F)c1ccc2ncccc2c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Cc1ccc(Br)c(Br)c1', 'O=C(O)c1ccc2ncccc2c1']; [0.9999957084655762, 0.9999806880950928, 0.9999637603759766, 0.9999535083770752, 0.9995076656341553, 0.9994713068008423, 0.9993508458137512, 0.9991439580917358, 0.9982585906982422, 0.9977942705154419, 0.9977430105209351, 0.9975173473358154, 0.997357189655304, 0.9951817989349365, 0.9911578893661499, 0.9909240007400513, 0.9862124919891357, 0.9767882227897644, 0.9709742069244385, 0.9683895111083984, 0.9443323612213135, 0.9439197778701782, 0.9436905384063721, 0.9347200393676758, 0.9307371377944946, 0.9283221960067749, 0.8940007090568542, 0.7562788724899292, 0.7556807994842529]
+Cc1nc(N)sc1-c1ccc2ncccc2c1; ['Cc1nc(N)sc1Br', 'Brc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'Cc1csc(N)n1']; [0.9999950528144836, 0.9924176931381226]
+c1cnc2ccc(-c3cnc4ccccn34)cc2c1; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1cnc2ccccn12', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.9999997615814209, 0.9999995231628418, 0.9999992847442627, 0.9999978542327881, 0.9999967813491821, 0.9999964833259583, 0.9999864101409912, 0.9998779296875, 0.9998581409454346, 0.9997879266738892, 0.9966087341308594, 0.9887195825576782]
+CNc1nc(C)c(-c2ccc3ncccc3c2)s1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccc2ncccc2c1; ['Cc1cn2ccccc2n1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Cc1nc2ccccn2c1I', 'Brc1ccc2ncccc2c1', 'Cc1nc2ccccn2c1Br', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1', 'Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Cc1cn2ccccc2n1']; ['OB(O)c1ccc2ncccc2c1', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'OB(O)c1ccc2ncccc2c1', 'Cc1cn2ccccc2n1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Cc1nc2ccccn2c1C(=O)O', 'Cc1nc2ccccn2c1Br', 'c1ccc2ncccc2c1']; [1.0, 0.9999995231628418, 0.9999993443489075, 0.9999989867210388, 0.9999973773956299, 0.9999967813491821, 0.9999955892562866, 0.9999569654464722, 0.9996352791786194, 0.996871829032898, 0.9234493970870972]
+Cc1nc(C)c(-c2ccc3ncccc3c2)s1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1nc(C)c(Br)s1', 'Cc1nc(C)c(Br)s1', 'Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Cc1csc(C)n1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(Br)s1', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Cc1nc(C)c(Br)s1', 'Cc1csc(C)n1', 'Ic1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1']; [0.9999992847442627, 0.9999988079071045, 0.9999921917915344, 0.9999915361404419, 0.9999431371688843, 0.9990559816360474, 0.9955442547798157, 0.992706298828125, 0.9001184105873108]
+c1cncc(CNc2ccc3ncccc3c2)c1; ['Ic1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'BrCc1cccnc1', 'Brc1ccc2ncccc2c1', 'NCc1cccnc1', 'ClCc1cccnc1', 'Fc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'NCc1cccnc1', 'Nc1ccc2ncccc2c1']; ['NCc1cccnc1', 'NCc1cccnc1', 'Nc1ccc2ncccc2c1', 'NCc1cccnc1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Nc1ccc2ncccc2c1', 'NCc1cccnc1', 'OCc1cccnc1', 'NCc1cccnc1', 'Oc1ccc2ncccc2c1', 'O=Cc1cccnc1']; [0.9995766878128052, 0.9994062185287476, 0.9991116523742676, 0.9986447691917419, 0.9983945488929749, 0.9975881576538086, 0.9940476417541504, 0.9922475814819336, 0.9863083362579346, 0.9673981666564941, 0.8719491362571716]
+Clc1cccc(Cl)c1-c1ccc2ncccc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Ic1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Clc1cccc(Cl)c1Br', 'Brc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1I', 'Clc1ccc2ncccc2c1', 'Clc1cccc(Cl)c1', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Clc1cccc(Cl)c1', 'OB(O)c1c(Cl)cccc1Cl', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Clc1cccc(Cl)c1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Clc1cccc(Cl)c1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'F[B-](F)(F)c1ccc2ncccc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'Oc1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1ccc2ncccc2c1', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br', 'Ic1ccc2ncccc2c1', 'Oc1ccc2ncccc2c1', 'Clc1cccc(Cl)c1', 'Fc1c(Cl)cccc1Cl', 'F[B-](F)(F)c1ccc2ncccc2c1']; [0.9999997615814209, 0.9999997019767761, 0.9999953508377075, 0.9999947547912598, 0.999992847442627, 0.9999871253967285, 0.9999608397483826, 0.999913215637207, 0.9998959302902222, 0.999762237071991, 0.9995988607406616, 0.9995385408401489, 0.9991849064826965, 0.9989770650863647, 0.9977906346321106, 0.9977530241012573, 0.997410774230957, 0.9973430633544922, 0.9936188459396362, 0.9884107112884521, 0.9843733310699463, 0.9216262102127075, 0.917961597442627]
+c1cc(Cn2cncn2)cc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+Brc1cccc(-c2ccc3ncccc3c2)c1; ['Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Ic1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Clc1cccc(Br)c1', 'Brc1ccc2ncccc2c1', 'Brc1cccc(I)c1', 'Brc1cccc([Zn]I)c1', 'Clc1ccc2ncccc2c1', 'Brc1cccc2ncccc12', 'Fc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Br[Mg]c1cccc(Br)c1', 'Clc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1cccc(Br)c1', 'Brc1ccc2cccnc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Brc1cccc(I)c1', 'Brc1ccccc1Br', 'Brc1cccc(Br)c1', 'Brc1ccc(Br)cc1', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Br[Mg]c1cccc(Br)c1', 'Br[Mg]c1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Ic1ccc2ncccc2c1', 'Clc1cccc(Br)c1', 'OB(O)c1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1ccc2ncccc2c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Ic1ccc2ncccc2c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1cccc(Br)c1', 'Clc1ccc2ncccc2c1', 'OB(O)c1cccc(Br)c1', 'Brc1cccc(I)c1', 'OB(O)c1cccc(Br)c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'F[B-](F)(F)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Brc1cccc(I)c1', 'Fc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Clc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Fc1cccc(Br)c1', 'F[B-](F)(F)c1cccc(Br)c1']; [0.9999933242797852, 0.9999877214431763, 0.9999758005142212, 0.9999670386314392, 0.9999516010284424, 0.9999399185180664, 0.99983811378479, 0.9998041391372681, 0.9997804164886475, 0.9997715950012207, 0.9995955228805542, 0.9990787506103516, 0.9986481666564941, 0.9985649585723877, 0.9985512495040894, 0.996292233467102, 0.9952899813652039, 0.9951525926589966, 0.9948500394821167, 0.9918233752250671, 0.9917994737625122, 0.9860559701919556, 0.9855111837387085, 0.9831058979034424, 0.9827936887741089, 0.9813721776008606, 0.9686810374259949, 0.9631677269935608, 0.9624032974243164, 0.9540558457374573, 0.9223216772079468, 0.9069343209266663, 0.8952534198760986, 0.890209972858429, 0.8547326326370239, 0.7588178515434265, 0.751690149307251]
+Cc1ccc(Cl)c(-c2ccc3ncccc3c2)c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1ccc2ncccc2c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2ncccc2c1', 'Cc1ccc(Cl)c([Mg]Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(I)c1', 'Br[Zn]c1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Cc1ccc(Cl)c(F)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Brc1ccc2ncccc2c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c([Mg]Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Brc1ccc2ncccc2c1', 'Cc1ccc(Cl)cc1', 'Cc1ccc(Cl)c([Mg]Br)c1', 'Br[Mg]c1ccc2ncccc2c1', 'Cc1ccc(Cl)cc1', 'Br[Mg]c1ccc2ncccc2c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1ccc2ncccc2c1', 'Cc1ccc(Cl)cc1', 'COc1ccc2ncccc2c1', 'Cc1ccc(Cl)cc1', 'Cc1ccc(Cl)c(Br)c1', 'Br[Mg]c1ccc2ncccc2c1', 'Cc1ccc(Cl)c([Mg]Br)c1']; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Cc1ccc(Cl)c(Cl)c1', 'Ic1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Ic1ccc2ncccc2c1', 'Cc1ccc(Cl)c(I)c1', 'Clc1ccc2ncccc2c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Ic1ccc2ncccc2c1', 'F[B-](F)(F)c1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'F[B-](F)(F)c1ccc2ncccc2c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Cc1ccc(Cl)c([Zn]Br)c1', 'Clc1ccc2ncccc2c1', 'Cc1ccc(Cl)c([Mg]Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Ic1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Cc1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Cc1ccc(Cl)c(F)c1', 'Ic1ccc2ncccc2c1', 'Cc1ccc(Cl)c(Cl)c1', 'c1ccc2ncccc2c1', 'Cc1ccc(Cl)cc1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Cc1ccc(Cl)c([Mg]Br)c1', 'F[B-](F)(F)c1ccc2ncccc2c1', 'c1ccc2ncccc2c1', 'COc1cc(C)ccc1Cl', 'c1ccc2ncccc2c1']; [0.9999997615814209, 0.9999973773956299, 0.9999963045120239, 0.9999871253967285, 0.9999861717224121, 0.9999842643737793, 0.9999734163284302, 0.9999557733535767, 0.9999451637268066, 0.9999393820762634, 0.9999266862869263, 0.9999265670776367, 0.9999130964279175, 0.9998204708099365, 0.9996058940887451, 0.9994956851005554, 0.9994702935218811, 0.9993975758552551, 0.9989067912101746, 0.9987295866012573, 0.998699426651001, 0.9986793994903564, 0.9986000061035156, 0.9985888004302979, 0.9985692501068115, 0.998253583908081, 0.9980702996253967, 0.9953305721282959, 0.9913263916969299, 0.9869638681411743, 0.9829878807067871, 0.9785990715026855, 0.9762755036354065, 0.961165189743042, 0.9453175067901611, 0.9253481030464172, 0.8989380598068237, 0.8772745132446289, 0.8667997717857361, 0.86662757396698, 0.8318079710006714, 0.7806267142295837, 0.7689266800880432, 0.7623426914215088]
+c1cncc(Nc2ccc3ncccc3c2)c1; ['Nc1cccnc1', 'Brc1ccc2ncccc2c1', 'Nc1cccnc1', 'Ic1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Clc1cccnc1', 'Brc1cccnc1', 'Ic1cccnc1', 'Fc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'Nc1cccnc1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Nc1cccnc1', 'Nc1cccnc1', 'Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1cccnc1', 'OB(O)c1cccnc1']; [0.9999504089355469, 0.9998641014099121, 0.9994040727615356, 0.9991750717163086, 0.9990479946136475, 0.9980189800262451, 0.9976291060447693, 0.9975448846817017, 0.9964914321899414, 0.9925394058227539]
+O=C(Nc1ccc2ncccc2c1)c1cccs1; ['Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'COC(=O)c1cccs1', 'Ic1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'CCOC(=O)c1cccs1', 'Clc1ccc2ncccc2c1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'Nc1ccc2ncccc2c1', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1', 'Nc1ccc2ncccc2c1', 'NC(=O)c1cccs1']; [0.999951958656311, 0.9998490214347839, 0.9986341595649719, 0.9980897903442383, 0.9962104558944702, 0.9953345060348511, 0.994798481464386]
+Cc1c(-c2ccc3ncccc3c2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2ccc3ncccc3c2)n1; [None]; [None]; [0]
+c1cnc2ccc(-c3cnn4ncccc34)cc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3ccc4ncccc4c3)ccc2c1; [None]; [None]; [0]
+c1cnc2ccc(NCCc3c[nH]cn3)cc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'NCCc1c[nH]cn1', 'Ic1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'NCCc1c[nH]cn1', 'Clc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'NCCc1c[nH]cn1', 'N#CCc1c[nH]cn1']; ['NCCc1c[nH]cn1', 'OB(O)c1ccc2ncccc2c1', 'NCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'Oc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1']; [0.9999816417694092, 0.9999716281890869, 0.9992141723632812, 0.9988150596618652, 0.9981279373168945, 0.9968270659446716, 0.9965614676475525, 0.9923325777053833, 0.9699418544769287, 0.9234139919281006]
+c1cnc2ccc(-n3cnc4ccccc43)cc2c1; ['OB(O)c1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9988247156143188, 0.9982019662857056, 0.9944217205047607, 0.9597177505493164, 0.9197254180908203]
+NC(=O)c1c(F)cccc1-c1ccc2ncccc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl', 'Ic1ccc2ncccc2c1']; ['NC(=O)c1c(F)cccc1Br', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'NC(=O)c1ccccc1F']; [1.0, 0.9999995231628418, 0.9999989867210388, 0.997952401638031]
+Cn1cc(-c2ccc(-c3ccc4ncccc4c3)cc2)cn1; ['Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'OB(O)c1ccc2ncccc2c1']; [1.0, 0.9999995231628418, 0.9999444484710693]
+c1cnc2ccc(-c3cncc4ccccc34)cc2c1; ['Brc1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Ic1ccc2ncccc2c1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Br[Zn]c1cncc2ccccc12', 'Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Brc1ccc2ncccc2c1', 'Clc1cncc2ccccc12', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Brc1cncc2ccccc12', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Ic1ccc2ncccc2c1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Ic1cncc2ccccc12', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1cncc2ccccc12', 'Clc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1cncc2ccccc12', 'Clc1cncc2ccccc12', 'Ic1cncc2ccccc12', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1cncc2ccccc12', 'F[B-](F)(F)c1ccc2ncccc2c1', 'Brc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Ic1cncc2ccccc12', 'Clc1cncc2ccccc12', 'Clc1cncc2ccccc12', 'c1ccc2cnccc2c1']; [0.9999998807907104, 0.9999997615814209, 0.9999992251396179, 0.9999989867210388, 0.9999974966049194, 0.9999960660934448, 0.9999927282333374, 0.9999910593032837, 0.9999830722808838, 0.9999734163284302, 0.999970555305481, 0.9999501705169678, 0.999909520149231, 0.9998733401298523, 0.9998681545257568, 0.9998226165771484, 0.9988524317741394, 0.9983597993850708, 0.9970970153808594, 0.9958547353744507, 0.9908568859100342, 0.9497818946838379, 0.8433343172073364]
+FC(F)(F)c1n[nH]cc1-c1ccc2ncccc2c1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+c1ccc(CCNc2ccc3ncccc3c2)cc1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc4ncccc4c3)ccc12; [None]; [None]; [0]
+Clc1ccc(CNc2ccc3ncccc3c2)cc1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'NCc1ccc(Cl)cc1', 'Ic1ccc2ncccc2c1', 'Clc1ccc(CBr)cc1', 'Brc1ccc2ncccc2c1', 'NCc1ccc(Cl)cc1', 'ClCc1ccc(Cl)cc1', 'Brc1cccc2ncccc12', 'Brc1ccc2cccnc2c1', 'Nc1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'O=[N+]([O-])c1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'COC(OC)c1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; ['NCc1ccc(Cl)cc1', 'OB(O)c1ccc2ncccc2c1', 'NCc1ccc(Cl)cc1', 'Nc1ccc2ncccc2c1', 'NCc1ccc(Cl)cc1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Nc1ccc2ncccc2c1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1', 'Nc1ccc2ncccc2c1', 'Oc1ccc2ncccc2c1']; [0.9998438358306885, 0.9992771148681641, 0.9990960359573364, 0.998145580291748, 0.9974642992019653, 0.9949711561203003, 0.9922949075698853, 0.9911974668502808, 0.9884925484657288, 0.9762267470359802, 0.971886157989502, 0.8706896901130676, 0.8216922879219055, 0.8213083744049072, 0.809270977973938, 0.806573748588562]
+CN1c2ccc(-c3ccc4ncccc4c3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4ncccc4c3)ccc21; [None]; [None]; [0]
+c1cnc2ccc(-c3ccc(-c4cn[nH]c4)cc3)cc2c1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3ncccc3c2)n1; [None]; [None]; [0]
+Oc1cccc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+Fc1ccccc1CNc1ccc2ncccc2c1; ['NCc1ccccc1F', 'Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'Ic1ccc2ncccc2c1', 'NCc1ccccc1F', 'Brc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'COC(OC)c1ccccc1F', 'Fc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'N#Cc1ccccc1F']; ['OB(O)c1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'NCc1ccccc1F', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'NCc1ccccc1F', 'OCc1ccccc1F', 'NCc1ccccc1F', 'Nc1ccc2ncccc2c1', 'NCc1ccccc1F', 'O=Cc1ccccc1F', 'Nc1ccc2ncccc2c1']; [0.999873161315918, 0.9998043775558472, 0.9990046620368958, 0.9986692667007446, 0.9975055456161499, 0.9927679300308228, 0.9869458675384521, 0.978228747844696, 0.9766241312026978, 0.9644944667816162, 0.9495208263397217, 0.7742069363594055]
+OCc1cccc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+c1cnc2ccc(Nc3ccncc3)cc2c1; ['CC1(C)OB(c2ccncc2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Nc1ccncc1', 'Nc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Nc1ccncc1', 'Brc1ccncc1', 'Clc1ccncc1', 'Clc1ccc2ncccc2c1', 'Ic1ccncc1', 'Brc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Nc1ccncc1', 'Nc1ccc2ncccc2c1', 'CC(=O)Nc1ccc2ncccc2c1', 'Fc1ccncc1', 'CC(=O)Nc1ccncc1', 'Brc1ccncc1', 'Nc1ccc2ncccc2c1']; ['Nc1ccc2ncccc2c1', 'Nc1ccncc1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1ccncc1', 'Nc1ccc2ncccc2c1', 'CC(=O)Nc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Nc1ccncc1', 'Oc1ccc2ncccc2c1', 'Nc1ccncc1', 'Ic1ccncc1', 'Nc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'CC(=O)Nc1ccc2ncccc2c1', 'Oc1ccncc1']; [0.999990701675415, 0.9999873638153076, 0.9999687075614929, 0.9998794794082642, 0.9998760223388672, 0.9994797110557556, 0.9992948770523071, 0.9989852905273438, 0.9983168840408325, 0.9983071088790894, 0.9979825019836426, 0.9947385787963867, 0.9943467378616333, 0.989337682723999, 0.9878087639808655, 0.9874947667121887, 0.9772955775260925, 0.9717414379119873, 0.9620800018310547, 0.961674690246582, 0.933280348777771]
+CC(C)n1cc(-c2ccc3ncccc3c2)nn1; ['C#Cc1ccc2ncccc2c1', 'CC(C)n1ccnn1', 'CC(C)n1ccnn1', 'Brc1ccc2ncccc2c1', 'CC(C)n1ccnn1']; ['CC(C)N=[N+]=[N-]', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'CC(C)n1ccnn1', 'Clc1ccc2ncccc2c1']; [0.9999958872795105, 0.999934196472168, 0.9998453855514526, 0.999682605266571, 0.9990424513816833]
+c1cnc2ccc(-c3csc4ncncc34)cc2c1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12', 'Brc1csc2ncncc12', 'Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Brc1csc2ncncc12', 'c1ncc2ccsc2n1']; [0.9999998211860657, 0.9999996423721313, 0.999950647354126, 0.9972772598266602, 0.9362169504165649]
+COc1cc(-c2ccc3ncccc3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1nc(-c2ccc3ncccc3c2)cs1; ['NC(N)=S', 'CC(=O)c1ccc2ncccc2c1', None]; ['O=C(CBr)c1ccc2ncccc2c1', 'NC(N)=S', None]; [0.999966025352478, 0.9997406005859375, 0]
+c1cnc2ccc(CCc3c[nH]nn3)cc2c1; ['Cc1c[nH]nn1', 'BrCc1ccc2ncccc2c1']; ['ClCc1ccc2ncccc2c1', 'Cc1c[nH]nn1']; [0.9855203628540039, 0.9848291873931885]
+c1cnc2ccc(-c3cc4ccccc4[nH]3)cc2c1; ['Brc1ccc2ncccc2c1', 'C#Cc1ccc2ncccc2c1', 'Ic1cc2ccccc2[nH]1', 'Nc1ccccc1C=C(Br)Br', 'N#CCc1ccccc1[N+](=O)[O-]', 'CC(=O)c1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1cc2ccccc2[nH]1', 'Brc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Nc1ccccc1', 'Brc1ccc2ncccc2c1', 'NNC(=O)c1ccc2ncccc2c1', 'CC(=O)c1ccc2ncccc2c1', 'F[B-](F)(F)c1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'Nc1ccccc1I', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Nc1ccccc1I', 'Clc1cc2ccccc2[nH]1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1cc2ccccc2[nH]1', 'c1ccc2[nH]ccc2c1', 'O=C(CBr)c1ccc2ncccc2c1', 'Clc1cc2ccccc2[nH]1', 'c1ccc2[nH]ccc2c1', 'NNc1ccccc1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.999998152256012, 0.999997615814209, 0.999996542930603, 0.9999957084655762, 0.9999940395355225, 0.9999781250953674, 0.9999745488166809, 0.9999579191207886, 0.9999249577522278, 0.9995119571685791, 0.9971522092819214, 0.9967031478881836, 0.9946844577789307, 0.9936953783035278, 0.9560209512710571, 0.9446666240692139]
+CC(C)c1oncc1-c1ccc2ncccc2c1; [None]; [None]; [0]
+Nc1ncncc1-c1ccc2ncccc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1Cl', 'Brc1ccc2ncccc2c1', 'NNc1ccc2ncccc2c1']; ['Nc1ncncc1I', 'Nc1ncncc1Br', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Nc1ncncc1Br', 'Nc1ccncn1']; [0.9999998211860657, 0.9999997615814209, 0.9999979734420776, 0.9999973177909851, 0.9997290372848511, 0.9994434714317322, 0.8729770183563232]
+CSc1nc(-c2ccc3ncccc3c2)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3ncccc3c2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2ncccc2c1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Ic1ccc2ncccc2c1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1ccc2ncccc2c1']; [0.9999997615814209, 0.9999996423721313, 0.9999973177909851]
+CCNc1nc2ccc(-c3ccc4ncccc4c3)cc2s1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc3ncccc3c2)c1; ['CC(=O)Nc1cccc(Br)c1', 'Brc1ccc2ncccc2c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Brc1ccc2ncccc2c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Br[Mg]c1ccc2ncccc2c1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'CC(=O)Nc1cccc(B(O)O)c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'F[B-](F)(F)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'CC(=O)Nc1cccc([B-](F)(F)F)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1']; [0.9999969601631165, 0.9999961853027344, 0.9999871253967285, 0.9999669790267944, 0.9999325275421143, 0.9997711777687073, 0.9997551441192627, 0.9983202219009399, 0.9979276657104492, 0.9977218508720398, 0.9971959590911865, 0.9961099624633789, 0.995705783367157, 0.9932537078857422, 0.990777313709259, 0.9643864631652832, 0.9463819265365601]
+Fc1ccc(-c2ccc3ncccc3c2)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1ccc2ncccc2c1; [None]; [None]; [0]
+c1ccc(Oc2ccc3ncccc3c2)nc1; [None]; [None]; [0]
+O=C(Nc1ccc2ncccc2c1)c1c(Cl)cccc1Cl; ['Nc1ccc2ncccc2c1', None, 'Nc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'O=C(Cl)c1c(Cl)cccc1Cl', 'Brc1ccc2ncccc2c1', 'NC(=O)c1c(Cl)cccc1Cl', 'COC(=O)c1c(Cl)cccc1Cl', 'Nc1ccc2ncccc2c1', 'CCOC(=O)c1c(Cl)cccc1Cl', 'Clc1ccc2ncccc2c1', 'CC(=O)Nc1ccc2ncccc2c1']; ['O=C(Cl)c1c(Cl)cccc1Cl', None, 'O=C(O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'O=[N+]([O-])c1ccc2ncccc2c1', 'NC(=O)c1c(Cl)cccc1Cl', 'Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'O=Cc1c(Cl)cccc1Cl', 'Nc1ccc2ncccc2c1', 'NC(=O)c1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl']; [0.9999637007713318, 0, 0.999708890914917, 0.9995148181915283, 0.9993725419044495, 0.9986163377761841, 0.9978865385055542, 0.9964709877967834, 0.9921623468399048, 0.9855149984359741, 0.9814223051071167, 0.8600633144378662]
+CS(=O)(=O)C1CCN(c2ccc3ncccc3c2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'Brc1ccc2ncccc2c1', 'CS(=O)(=O)C1CCNCC1']; ['OB(O)c1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'CS(=O)(=O)C1CCNCC1', 'Clc1ccc2ncccc2c1']; [0.999864935874939, 0.9995405673980713, 0.99945467710495, 0.9980846643447876, 0.9975900053977966]
+Cn1cc(-c2ccc3ncccc3c2)c2ccccc21; ['Brc1ccc2ncccc2c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Brc1ccc2ncccc2c1', 'Cn1ccc2ccccc21', 'Cn1cc(C(=O)O)c2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Cn1ccc2ccccc21', 'Ic1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; [0.9999994039535522, 0.9999932050704956, 0.9999517798423767, 0.9999232292175293, 0.9997308254241943, 0.9993834495544434]
+CCCn1cc(-c2ccc3ncccc3c2)cn1; ['Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1', 'Brc1ccc2ncccc2c1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'Ic1ccc2ncccc2c1', 'CCCn1cc(Br)cn1', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'CCCn1cc(B(O)O)cn1']; [1.0, 1.0, 0.9999997615814209, 0.9999997615814209, 0.9999996423721313, 0.9999987483024597, 0.9999813437461853, 0.9999807476997375, 0.9999354481697083]
+CC(C)(O)CC(=O)NCCc1ccc2ncccc2c1; [None]; [None]; [0]
+CC(C)(COc1ccc2ncccc2c1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2ccc3ncccc3c2)cc1Cl; [None]; [None]; [0]
+c1cnc2ccc(-c3cnn4ccccc34)cc2c1; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2ccc3ncccc3c2)cc1C(F)(F)F; [None]; [None]; [0]
+O=c1cc(-c2ccc3ncccc3c2)cc[nH]1; ['Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'O=c1cc(I)cc[nH]1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'O=c1cc(Br)cc[nH]1', 'O=c1cc(Cl)cc[nH]1']; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'O=c1cc(Br)cc[nH]1', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'O=c1cc(Cl)cc[nH]1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1']; [0.9999942779541016, 0.9999879002571106, 0.9999830722808838, 0.9999492764472961, 0.9999364614486694, 0.9998312592506409, 0.9993122816085815]
+CC(C)(N)c1ccc(-c2ccc3ncccc3c2)cc1; ['CC(C)(N)c1ccc(Cl)cc1', 'CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1', 'CC(C)(N)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1']; [0.9999977350234985, 0.9999966621398926, 0.9995574951171875, 0.9924968481063843]
+C[S@](=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1', 'Brc1ccc2ncccc2c1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(Br)cc1', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'CS(=O)c1ccc(B(O)O)cc1']; [0.9999991655349731, 0.9999853372573853, 0.9998664259910583, 0.9993495345115662, 0.9993392825126648]
+O=C1CCc2cccc(-c3ccc4ncccc4c3)c21; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc2ncccc2c1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CCNS(=O)(=O)c1ccccc1Br', 'Brc1ccc2ncccc2c1', 'CCNS(=O)(=O)c1ccccc1']; ['CCNS(=O)(=O)c1ccccc1Br', 'OB(O)c1ccc2ncccc2c1', 'CCNS(=O)(=O)c1ccccc1Br', 'Ic1ccc2ncccc2c1']; [0.9999983906745911, 0.9999157190322876, 0.9948152303695679, 0.9792044162750244]
+COc1cc(CCc2ccc3ncccc3c2)cc(OC)c1; [None]; [None]; [0]
+C[C@@H](Oc1ccc2ncccc2c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CCN(CC)c1ccc2ncccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ccc4ncccc4c3)cc12; [None]; [None]; [0]
+O=c1[nH]cc(Br)c2sc(-c3ccc4ncccc4c3)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1ccc2ncccc2c1; [None]; [None]; [0]
+c1ccc(-c2ccncc2Nc2ccc3ncccc3c2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+c1cnc2ccc(Nc3cnc4ccccc4c3)cc2c1; ['Nc1cnc2ccccc2c1', 'Nc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Clc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Ic1ccc2ncccc2c1', 'Nc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Fc1cnc2ccccc2c1', 'Clc1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1cnc2ccccc2c1']; ['OB(O)c1ccc2ncccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1cnc2ccccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Nc1ccc2ncccc2c1', 'Nc1ccc2ncccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Oc1cnc2ccccc2c1', 'Oc1ccc2ncccc2c1']; [0.999720573425293, 0.9996671676635742, 0.9992111921310425, 0.998668909072876, 0.9980040788650513, 0.9975152611732483, 0.9970774054527283, 0.9954394102096558, 0.9934046268463135, 0.9911401271820068, 0.9854394197463989, 0.9711763262748718, 0.9498947858810425]
+c1cnc2ccc(-c3cnc4[nH]ccc4c3)cc2c1; ['Brc1cnc2[nH]ccc2c1', 'Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Ic1ccc2ncccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Ic1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; [1.0, 0.9999997615814209, 0.9999996423721313, 0.999998927116394, 0.9999985694885254, 0.9999960660934448, 0.9999948740005493, 0.9999874830245972, 0.9999796748161316, 0.9999785423278809, 0.9999750852584839, 0.9999574422836304, 0.9999014139175415, 0.9986857175827026]
+CC(C)(C)c1ccc(-c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc2ncccc2c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccc2ncccc2c1; ['CNC(=O)c1ccccc1F', 'CNC(=O)c1ccccc1F']; ['OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; [0.9923756122589111, 0.9783949851989746]
+c1cnc2ccc(-c3c[nH]c4cnccc34)cc2c1; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12', 'Ic1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'c1cc2cc[nH]c2cn1']; [0.9999970197677612, 0.9999877214431763, 0.9998636245727539, 0.9997637271881104, 0.9751521944999695, 0.9748765826225281, 0.8882063627243042, 0.8511141538619995]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['Brc1ccc2ncccc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2ncccc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccccc1', 'Brc1ccc2ncccc2c1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Clc1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'Ic1ccc2ncccc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [1.0, 1.0, 0.9999996423721313, 0.999998927116394, 0.999998927116394, 0.9999983906745911, 0.9999901056289673, 0.9999851584434509, 0.999964714050293, 0.9999243021011353, 0.9996181130409241, 0.9934593439102173, 0.9918308258056641]
+CNS(=O)(=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['Brc1ccc2ncccc2c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2ncccc2c1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1ccc2ncccc2c1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Clc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.9999947547912598, 0.9999932050704956, 0.9999676942825317, 0.9999365210533142, 0.9999359846115112, 0.9999123811721802, 0.9997992515563965, 0.9997960329055786, 0.9996342658996582, 0.9995630979537964, 0.9994415044784546, 0.9951479434967041, 0.9950177669525146, 0.9121226072311401]
+C[C@H](Nc1ccc2ncccc2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cc1cc(-c2ccc3ncccc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3ncccc3c2)cc1; ['Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'Brc1ccc2cccnc2c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2ncccc2c1', 'Brc1cccc2ncccc12', 'Brc1ccc2ncccc2c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2ncccc2c1', 'CS(=O)(=O)c1ccccc1', 'CS(=O)(=O)c1ccc(C(=O)O)cc1', 'Brc1ccc2ncccc2c1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccccc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Ic1ccc2ncccc2c1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'Ic1ccc2ncccc2c1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Ic1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'CS(=O)(=O)c1ccccc1', 'O=C(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1']; [1.0, 1.0, 0.9999997019767761, 0.9999995827674866, 0.9999994039535522, 0.9999993443489075, 0.9999984502792358, 0.9999977350234985, 0.9999971389770508, 0.9999960660934448, 0.9999954700469971, 0.9999945163726807, 0.9999938011169434, 0.9999922513961792, 0.9999898672103882, 0.9999883770942688, 0.9999667406082153, 0.999938428401947, 0.9981448650360107, 0.9916691780090332, 0.9890520572662354, 0.9831119775772095, 0.9649425745010376, 0.9297012090682983]
+CC1(c2ccc3ncccc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+c1cnc2ccc(-c3ccc(N4CCOCC4)cc3)cc2c1; [None]; [None]; [0]
+OCc1ccn(-c2ccc3ncccc3c2)n1; ['OB(O)c1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9999982118606567, 0.9999889731407166, 0.999983012676239, 0.999803900718689]
+C[C@@H](Nc1ccc2ncccc2c1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'Brc1ccc2ncccc2c1', 'C[C@@H](N)C(C)(C)O']; ['OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'C[C@@H](N)C(C)(C)O', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F']; [0.9969241619110107, 0.9915241003036499, 0.989173173904419, 0.8218196034431458]
+C[C@H](Nc1ccc2ncccc2c1)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'Brc1ccc2ncccc2c1', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'C[C@H](N)C(C)(C)O', 'Nc1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F']; [0.9969241619110107, 0.9915241003036499, 0.989173173904419, 0.9203026294708252, 0.8218196034431458]
+CN(c1ccc2ncccc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+OCCc1cn(-c2ccc3ncccc3c2)cn1; ['Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1']; ['OCCc1c[nH]cn1', 'OCCc1c[nH]cn1']; [0.9999935626983643, 0.9999313354492188]
+c1cnc2ccc(-c3ccc(-n4cncn4)cc3)cc2c1; ['OB(O)c1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['c1ccc(-n2cncn2)cc1', 'c1ccc(-n2cncn2)cc1', 'c1ccc(-n2cncn2)cc1']; [0.9996576309204102, 0.9604241251945496, 0.9057159423828125]
+Fc1cccc(Cl)c1-c1ccc2ncccc2c1; [None]; [None]; [0]
+c1cnc2ccc(-n3ncc4ccccc43)cc2c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ccc2ncccc2c1; ['Brc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.9994205236434937, 0.9985463619232178, 0.9982556104660034, 0.9854733943939209]
+CSc1nc(C)c(-c2ccc3ncccc3c2)[nH]1; [None]; [None]; [0]
+Oc1ccc2nc(-c3ccc4ncccc4c3)[nH]c2c1; [None]; [None]; [0]
+COc1ccc(-c2ccc3ncccc3c2)c(OC)c1; ['Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'Brc1ccc2ncccc2c1', 'COc1ccc([Mg]Br)c(OC)c1', 'Brc1ccc2ncccc2c1', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(F)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1cccc(OC)c1', 'COc1ccc(I)c(OC)c1', 'Brc1ccc2ncccc2c1', 'COc1ccc([Mg]Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc([Zn]I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc([Mg]Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(O)c(OC)c1', 'Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'Br[Mg]c1ccc2ncccc2c1', 'COc1ccc([Mg]Br)c(OC)c1', 'COc1cccc(OC)c1', 'COc1cccc(OC)c1', 'Br[Mg]c1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1', 'COc1cccc(OC)c1', 'Br[Mg]c1ccc2ncccc2c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1cccc(OC)c1', 'COc1ccc([Mg]Br)c(OC)c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'Ic1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'COc1ccc(B(O)O)c(OC)c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'Ic1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'F[B-](F)(F)c1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'F[B-](F)(F)c1ccc2ncccc2c1', 'COc1ccc([Mg]Br)c(OC)c1', 'Clc1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Fc1ccc2ncccc2c1', 'Oc1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'Ic1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'COc1ccc(F)c(OC)c1', 'COc1ccc2ncccc2c1', 'Ic1ccc2ncccc2c1', 'O=S(=O)(Oc1ccc2ncccc2c1)C(F)(F)F', 'COc1ccc(Br)c(OC)c1', 'COc1cccc(OC)c1', 'F[B-](F)(F)c1ccc2ncccc2c1', 'COc1ccc(Cl)c(OC)c1', 'Clc1ccc2ncccc2c1', 'c1ccc2ncccc2c1', 'Clc1ccc2ncccc2c1', 'c1ccc2ncccc2c1']; [0.999998152256012, 0.9999970197677612, 0.9999918937683105, 0.999991774559021, 0.9999717473983765, 0.9999649524688721, 0.9999581575393677, 0.9999580383300781, 0.9999575614929199, 0.9999425411224365, 0.9999355673789978, 0.9999340176582336, 0.9999291896820068, 0.9999219179153442, 0.9998022317886353, 0.999773383140564, 0.9996297359466553, 0.9996248483657837, 0.9993676543235779, 0.9993497133255005, 0.9992414712905884, 0.9990269541740417, 0.9989851117134094, 0.9989445209503174, 0.9989045858383179, 0.998807430267334, 0.9985610246658325, 0.997919499874115, 0.9974572062492371, 0.9968492388725281, 0.9954813718795776, 0.993823766708374, 0.9924517273902893, 0.9902451038360596, 0.9860680103302002, 0.9843717217445374, 0.9839622974395752, 0.9819847345352173, 0.980766773223877, 0.972266674041748, 0.9653409719467163, 0.9144524335861206, 0.8845634460449219, 0.8427739143371582, 0.8346735239028931, 0.75809246301651]
+c1cnc2ccc(-c3nncn3C3CC3)cc2c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
+O=C(CCc1ccc2ncccc2c1)NCc1ccccn1; ['CC(=O)NCc1ccccn1']; ['OCc1ccc2ncccc2c1']; [0.9382708072662354]
+CC(C)n1cnnc1-c1ccc2ncccc2c1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2ccc3ncccc3c2)n1; [None]; [None]; [0]
+c1ccc(-c2ccc3nnc(Cc4ccc5ncccc5c4)n3n2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
+Nc1nnc(-c2ccc3ncccc3c2)s1; ['N#Cc1ccc2ncccc2c1', 'NNC(N)=S']; ['NNC(N)=S', 'O=C(O)c1ccc2ncccc2c1']; [0.9989463090896606, 0.9965287446975708]
+CNC(=O)c1ccc(-c2ccc3ncccc3c2)s1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CNC(=O)c1ccc(Br)s1', 'CNC(=O)c1ccc(Cl)s1', 'Brc1ccc2ncccc2c1', 'Brc1ccc2ncccc2c1']; ['CNC(=O)c1ccc(Br)s1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'CNC(=O)c1ccc(Br)s1', 'CNC(=O)c1cccs1']; [0.9999998211860657, 0.9999986290931702, 0.9999900460243225, 0.9996542930603027, 0.9994921088218689]
+O=S(=O)(Cc1ccc2ncccc2c1)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4ncccc4c3)nn2)cc1; [None]; [None]; [0]
+CCc1cc(-c2ccc3ncccc3c2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccc3ncccc3c2)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc3ncccc3c2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'Brc1ccc2ncccc2c1']; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1', 'CC(C)(O)c1cccc(Br)n1']; [0.9999990463256836, 0.9999868869781494, 0.99996018409729, 0.9986342191696167, 0.987601101398468]
+Cn1cc(C(N)=O)cc1-c1ccc2ncccc2c1; [None]; [None]; [0]
+Nc1cncc(-c2ccc3ncccc3c2)n1; ['CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ncccc3c2)OC1(C)C', 'Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1']; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'OB(O)c1ccc2ncccc2c1', 'OB(O)c1ccc2ncccc2c1']; [0.9999991655349731, 0.9999989867210388, 0.9999977350234985, 0.9999961853027344]
+[NH3+]Cc1ccc(Oc2ccc3ncccc3c2)c(F)c1; [None]; [None]; [0]
+c1cnc2ccc(-c3nc4ccccc4s3)cc2c1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3ccc4ncccc4c3)nc2NC1=O; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
+c1cnc2ccc(-c3cccc4ccsc34)cc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4ncccc4c3)c2)cc1; [None]; [None]; [0]
+c1cnc2ccc(-c3cccc4nnsc34)cc2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc3ncccc3c2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2ccc3ncccc3c2)nc2ccccc12; [None]; [None]; [0]
+c1cnc2ccc(-c3ncc4ccccc4n3)cc2c1; [None]; [None]; [0]
+c1cnc2ccc(-c3c[nH]c4cccnc34)cc2c1; [None]; [None]; [0]
+OCCn1cnc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+c1cnc2ccc(-c3ncc4cc[nH]c4n3)cc2c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc2ncccc2c1; [None]; [None]; [0]
+COc1ccc(Oc2ccc3ncccc3c2)c(F)c1F; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc3ncccc3c2)cnn1; [None]; [None]; [0]
+c1cnc2ccc(N3CCC(c4nc5ccccc5[nH]4)CC3)cc2c1; [None]; [None]; [0]
+COc1cc(C=Cc2ccc3ncsc3c2)cc(OC)c1; ['CCOP(=O)(Cc1cc(OC)cc(OC)c1)OCC', 'COc1cc(C)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1']; ['O=Cc1ccc2ncsc2c1', 'O=Cc1ccc2ncsc2c1', 'Cc1ccc2ncsc2c1']; [0.9999343156814575, 0.9963068962097168, 0.9923020005226135]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3ncccc3c2)C1; [None]; [None]; [0]
+C(=Cc1c[nH]c2ccccc12)c1ccc2ncsc2c1; [None]; [None]; [0]
+Oc1cc(O)cc(C=Cc2ccc3ncsc3c2)c1; ['Cc1cc(O)cc(O)c1', 'Cc1ccc2ncsc2c1']; ['O=Cc1ccc2ncsc2c1', 'O=Cc1cc(O)cc(O)c1']; [0.9767249822616577, 0.9494320154190063]
+O=C(Nc1cccc(-c2ccc3ncccc3c2)c1)C1CCNCC1; [None]; [None]; [0]
+COc1cc(C=Cc2ccc3ncsc3c2)ccc1O; ['C=Cc1ccc(O)c(OC)c1', 'C=Cc1ccc(O)c(OC)c1', 'Brc1ccc2ncsc2c1', 'COc1cc(C=O)ccc1O']; ['OB(O)c1ccc2ncsc2c1', 'Ic1ccc2ncsc2c1', 'C=Cc1ccc(O)c(OC)c1', 'Cc1ccc2ncsc2c1']; [0.9998348355293274, 0.9996875524520874, 0.9994887113571167, 0.7969701886177063]
+COc1cc(O)cc(C=Cc2ccc3ncsc3c2)c1; ['COc1cc(O)cc(C=O)c1', 'COc1cc(O)cc(C=O)c1', 'COc1cc(C)cc(O)c1']; ['O=Cc1ccc2ncsc2c1', 'Cc1ccc2ncsc2c1', 'O=Cc1ccc2ncsc2c1']; [0.993782103061676, 0.9283541440963745, 0.8405129909515381]
+CNC(=O)c1ccccc1-c1ccc2ocnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CNC(=O)c1ccccc1B(O)O', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CNC(=O)c1ccccc1Br']; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1B(O)O', 'Clc1ccc2ocnc2c1', 'CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1', 'c1ccc2ocnc2c1']; [0.9999971389770508, 0.9999955296516418, 0.9999600052833557, 0.9984584450721741, 0.9972395896911621, 0.9910316467285156, 0.7948235869407654]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc2ocnc2c1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'Clc1ccc2ocnc2c1']; [0.9999971389770508, 0.9999577403068542, 0.9989718198776245, 0.9982790350914001]
+O=C1Nc2ccccc2C1=Cc1ccc2ncsc2c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3ocnc3c2)[nH]1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ccc3ocnc3c2)c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['Fc1cc(F)cc(CBr)c1', 'Fc1cc(F)cc(CCl)c1', 'Fc1cc(F)cc(C[Zn]Br)c1']; [0.999779224395752, 0.9981245994567871, 0.9893584251403809]
+CCOc1ccccc1-c1ccc2ocnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['CCOc1ccccc1Br', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Cl', 'Clc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'CCOc1ccccc1Br', 'CCOc1ccccc1[Mg]Br']; [0.99996417760849, 0.9999518990516663, 0.9999181628227234, 0.9998971223831177, 0.9989787340164185, 0.9950065016746521, 0.9897996783256531, 0.9748250246047974]
+c1ccc2c(-c3ccc4ocnc4c3)ccnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccnc2ccccc12', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Br[Mg]c1ccnc2ccccc12', 'Clc1ccc2ocnc2c1', 'Br[Mg]c1ccnc2ccccc12']; ['Ic1ccnc2ccccc12', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Clc1ccnc2ccccc12', 'Clc1ccc2ocnc2c1', 'OB(O)c1ccnc2ccccc12', 'Brc1ccnc2ccccc12', 'Brc1ccc2ocnc2c1', 'OB(O)c1ccnc2ccccc12', 'Clc1ccc2ocnc2c1']; [0.9999927878379822, 0.9999828338623047, 0.999966561794281, 0.9998511075973511, 0.9993805885314941, 0.9984571933746338, 0.989037275314331, 0.9888315200805664, 0.9487811326980591, 0.8230056166648865]
+CCn1cc(-c2ccc3ocnc3c2)cn1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CCn1cc(B(O)O)cn1']; ['CCn1cc(I)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1', 'Clc1ccc2ocnc2c1']; [0.9999972581863403, 0.9999970197677612, 0.99998939037323, 0.9998558759689331, 0.9977735877037048]
+COC(C)(C)CCc1ccc2ocnc2c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccc2ocnc2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'FC(F)(F)Oc1ccccc1Br', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'Clc1ccc2ocnc2c1', 'FC(F)(F)Oc1ccccc1Cl', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1[Mg]Br', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1[Mg]Br', 'FC(F)(F)Oc1ccccc1', 'c1ccc2ocnc2c1', 'COc1ccccc1OC(F)(F)F']; [0.9999751448631287, 0.9999713897705078, 0.9999555945396423, 0.9999487400054932, 0.9998823404312134, 0.9998085498809814, 0.9995498657226562, 0.9994874596595764, 0.9906789064407349, 0.9900993704795837, 0.9810045957565308, 0.9683331251144409, 0.8883230090141296, 0.7813031673431396]
+FC(F)(F)c1cccc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'FC(F)(F)c1cccc(Br)c1']; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cccc(C(F)(F)F)c1', 'Clc1ccc2ocnc2c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc([Mg]Br)c1', 'FC(F)(F)c1cccc(Br)c1', 'c1ccc2ocnc2c1']; [0.9999943971633911, 0.9999873042106628, 0.9999777674674988, 0.9999620318412781, 0.9999508857727051, 0.999886155128479, 0.9998705387115479, 0.9993143677711487, 0.9984374046325684, 0.9968127608299255, 0.9888474941253662, 0.8034478425979614]
+NC(=O)c1ccccc1-c1ccc2ocnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1B(O)O', 'Clc1ccc2ocnc2c1', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; [0.9999917149543762, 0.999983549118042, 0.9999724626541138, 0.9998838901519775, 0.9998419284820557, 0.9998055696487427, 0.9992972016334534, 0.9922131299972534, 0.9909550547599792]
+c1ccc(Cn2cc(-c3ccc4ocnc4c3)cn2)cc1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Clc1ccc2ocnc2c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Brc1cnn(Cc2ccccc2)c1', 'c1ccc(Cn2cccn2)cc1']; [0.9999982714653015, 0.9999978542327881, 0.9999808669090271, 0.9999202489852905, 0.9998050928115845, 0.9983464479446411, 0.989303469657898, 0.8966509103775024]
+CC(C)(C)c1nc(-c2ccc3ocnc3c2)cs1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc4ocnc4c3)cc2c1=O; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1']; ['Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9999885559082031, 0.9832820892333984]
+CC(C)C(=O)COc1ccc2ocnc2c1; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Oc1ccc2ocnc2c1', 'Oc1ccc2ocnc2c1']; [0.996353030204773, 0.9582226276397705]
+O=C(Nc1cccc(-c2ccc3ocnc3c2)c1)c1ccccc1; ['Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999871850013733, 0.9997986555099487, 0.99379962682724]
+c1ccc(-c2ncc(-c3ccc4ocnc4c3)[nH]2)cc1; [None]; [None]; [0]
+COc1cnc(-c2ccc3ocnc3c2)nc1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; [0.9999511241912842, 0.9998989105224609]
+Clc1ccc(Cl)c(-c2ccc3ocnc3c2)c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc2ocnc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)c([Mg]Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Br)c1']; [0.9999978542327881, 0.9999938011169434, 0.9999774098396301, 0.9996109008789062, 0.9995861053466797, 0.9993135333061218, 0.997473955154419, 0.9940623044967651, 0.9196246862411499]
+Cc1nc2ccccn2c1-c1ccc2ocnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Cc1cn2ccccc2n1', 'Brc1ccc2ocnc2c1']; ['Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'Cc1cn2ccccc2n1', 'Clc1ccc2ocnc2c1', 'Cc1nc2ccccn2c1C(=O)O']; [0.9999954700469971, 0.9999887347221375, 0.9999860525131226, 0.9999665021896362, 0.999660849571228]
+Cc1ccc(-c2ccc3ocnc3c2)c(Br)c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Brc1ccc2ocnc2c1']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Clc1ccc2ocnc2c1', 'Cc1ccc(Br)c(Br)c1']; [0.999993085861206, 0.9999511241912842, 0.9817761182785034, 0.9737343788146973, 0.8427287340164185]
+OCCn1cc(-c2ccc3ocnc3c2)cn1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'OCCn1cc(I)cn1']; ['OCCn1cc(I)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'c1ccc2ocnc2c1']; [0.9999989867210388, 0.9999979734420776, 0.9999915361404419, 0.9999688267707825, 0.999439001083374, 0.8490214347839355]
+Cc1nc(C)c(-c2ccc3ocnc3c2)s1; ['Brc1ccc2ocnc2c1']; ['Cc1csc(C)n1']; [0.9994950294494629]
+c1ccn2c(-c3ccc4ocnc4c3)cnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1cnc2ccccn12', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'c1ccc2ocnc2c1', 'Clc1cnc2ccccn12']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccc2ocnc2c1']; [0.9999979734420776, 0.9999967813491821, 0.9999663829803467, 0.9997850656509399, 0.9882298707962036, 0.9800384044647217, 0.8122552037239075]
+c1cnn2c(-c3ccc4ocnc4c3)cnc2c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999994039535522, 0.9999985694885254, 0.9999649524688721]
+Cc1nc(N)sc1-c1ccc2ocnc2c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ccc2ocnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'COc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1']; [0.9999743700027466, 0.9999200105667114, 0.999891996383667, 0.9990478754043579, 0.9960387945175171, 0.9883586764335632, 0.8318888545036316, 0.8218302130699158, 0.7974558472633362]
+Brc1cccc(-c2ccc3ocnc3c2)c1; ['Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Brc1cccc(Br)c1']; [0.9999829530715942, 0.999789297580719, 0.9993104934692383, 0.9978899359703064, 0.9959362149238586, 0.8277521729469299]
 O=c1c2c(F)cccc2cnn1-c1ccc2ocnc2c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccc3ocnc3c2)c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2ocnc2c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Clc1ccc2ocnc2c1', 'Cc1ccc(Cl)c(Br)c1', 'Clc1ccc2ocnc2c1']; [0.9999914169311523, 0.9999738931655884, 0.9999607801437378, 0.9997876882553101, 0.998866081237793, 0.9962434768676758, 0.9837234020233154, 0.9504045844078064]
+c1cncc(CNc2ccc3ocnc3c2)c1; ['BrCc1cccnc1', 'ClCc1cccnc1', 'Brc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; ['Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'NCc1cccnc1', 'O=Cc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; [0.9995278120040894, 0.9990473985671997, 0.9988077878952026, 0.9975811243057251, 0.9973770380020142, 0.977548360824585]
+c1cc(Cn2cncn2)cc(-c2ccc3ocnc3c2)c1; [None]; [None]; [0]
+Nc1nccc(-c2ccc3ocnc3c2)n1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; ['Nc1nccc(Cl)n1']; [0.9999517202377319]
+c1cnn2ncc(-c3ccc4ocnc4c3)c2c1; ['Brc1cnn2ncccc12']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; [0.9999891519546509]
 Cc1c(-c2ccc3ocnc3c2)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(-c3ccc4ocnc4c3)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc3ocnc3c2)o1; [None]; [None]; [0]
+O=C(Nc1ccc2ocnc2c1)c1cccs1; ['Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'COC(=O)c1cccs1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'Nc1ccc2ocnc2c1']; [0.9999894499778748, 0.9999771118164062, 0.9990517497062683]
+c1cncc(Nc2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1', 'Brc1cccnc1', 'Clc1cccnc1', 'Clc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1', 'Ic1cccnc1']; ['Nc1cccnc1', 'Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Nc1cccnc1', 'Nc1cccnc1', 'Nc1ccc2ocnc2c1']; [0.999116063117981, 0.9875695109367371, 0.9857854247093201, 0.980466365814209, 0.9687923789024353, 0.9668996334075928]
+c1nc(CCNc2ccc3ocnc3c2)c[nH]1; ['Brc1ccc2ocnc2c1']; ['NCCc1c[nH]cn1']; [0.9800751209259033]
+CNc1nc(C)c(-c2ccc3ocnc3c2)s1; [None]; [None]; [0]
+c1ccc(CCNc2ccc3ocnc3c2)cc1; ['ClCCc1ccccc1', 'Nc1ccc2ocnc2c1', 'ICCc1ccccc1', 'BrCCc1ccccc1', 'CS(=O)(=O)OCCc1ccccc1', 'Cc1ccc(S(=O)(=O)OCCc2ccccc2)cc1']; ['Nc1ccc2ocnc2c1', 'O=CCc1ccccc1', 'Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1']; [0.9695417881011963, 0.9583583474159241, 0.9121927618980408, 0.902862548828125, 0.8678413033485413, 0.7914842367172241]
+c1ccc2c(-c3ccc4ocnc4c3)cncc2c1; ['Brc1ccc2ocnc2c1', 'Brc1cncc2ccccc12', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Ic1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Clc1ccc2ocnc2c1', 'Brc1cncc2ccccc12', 'F[B-](F)(F)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; [0.9999951124191284, 0.9999951124191284, 0.9999884963035583, 0.9999492168426514, 0.9999037981033325, 0.9985983967781067, 0.998367428779602, 0.9622502326965332]
+FC(F)(F)c1n[nH]cc1-c1ccc2ocnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Cl', 'FC(F)(F)c1cc[nH]n1', 'Clc1ccc2ocnc2c1']; [0.9999927282333374, 0.9999852180480957, 0.9999734163284302, 0.9999079704284668, 0.999700665473938, 0.9850014448165894]
+NC(=O)c1c(F)cccc1-c1ccc2ocnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1']; ['NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl', 'NC(=O)c1c(F)cccc1Br']; [0.9999997615814209, 0.9999974370002747, 0.9998565912246704]
+c1ccc2cc(-c3ccc4ocnc4c3)ccc2c1; [None]; [None]; [0]
+c1ccc2c(c1)ncn2-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9967266321182251, 0.964656412601471]
+Cn1cc(-c2ccc(-c3ccc4ocnc4c3)cc2)cn1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; [0.9999983906745911, 0.999994158744812, 0.9999445676803589, 0.9902452230453491]
+O=C([O-])Cc1cccc(-c2ccc3ocnc3c2)c1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc4ocnc4c3)ccc12; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Cl)ccc12', 'Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Cl)ccc12']; [0.9999960660934448, 0.9998736381530762, 0.9874927997589111, 0.9347063302993774, 0.9347063302993774]
+Clc1ccc(CNc2ccc3ocnc3c2)cc1; ['Clc1ccc(CBr)cc1', 'ClCc1ccc(Cl)cc1', 'O=[N+]([O-])c1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1']; ['Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'OCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1']; [0.9984411001205444, 0.9983107447624207, 0.9911375045776367, 0.9874363541603088, 0.985522449016571, 0.9715087413787842]
+Cn1ncc2cc(-c3ccc4ocnc4c3)ccc21; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Clc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2ccccc21']; [0.9999992847442627, 0.9999985694885254, 0.9999983310699463, 0.9999889135360718, 0.9999861717224121, 0.9999393820762634, 0.9993181228637695, 0.9950196743011475, 0.7598147988319397]
 CN1c2ccc(-c3ccc4ocnc4c3)cc2CS1(=O)=O; [None]; [None]; [0]
+CC(C)n1cc(-c2ccc3ocnc3c2)nn1; ['Brc1ccc2ocnc2c1']; ['CC(C)n1ccnn1']; [0.9927499890327454]
+Oc1cccc(-c2ccc3ocnc3c2)c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9999808073043823, 0.9999803304672241, 0.9999655485153198, 0.9995513558387756, 0.9884118437767029, 0.9073117971420288]
+CCCn1cnc(-c2ccc3ocnc3c2)n1; [None]; [None]; [0]
+c1nc2cc(-c3ccc(-c4cn[nH]c4)cc3)ccc2o1; [None]; [None]; [0]
+Fc1ccccc1CNc1ccc2ocnc2c1; ['Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'Nc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1']; ['Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'OCc1ccccc1F', 'NCc1ccccc1F', 'O=Cc1ccccc1F', 'NCc1ccccc1F']; [0.9992972016334534, 0.9984738826751709, 0.9936904907226562, 0.9773668646812439, 0.9244848489761353, 0.816213071346283]
+c1cc(Nc2ccc3ocnc3c2)ccn1; ['Nc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Nc1ccncc1', 'Clc1ccc2ocnc2c1', 'Clc1ccncc1', 'Brc1ccncc1', 'Nc1ccc2ocnc2c1', 'Ic1ccncc1', 'Nc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Fc1ccncc1', 'Brc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'Oc1ccc2ocnc2c1', 'Nc1ccncc1', 'Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Oc1ccncc1', 'Nc1ccc2ocnc2c1', 'c1cc[n+](-c2ccncc2)cc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccc2ocnc2c1', 'CC(=O)Nc1ccncc1', 'O=C(O)c1cnccc1Cl']; [0.9998629689216614, 0.9994494318962097, 0.9979800581932068, 0.9958490133285522, 0.9953545331954956, 0.995188295841217, 0.9931374788284302, 0.992000937461853, 0.9889482259750366, 0.9823634624481201, 0.9786362051963806, 0.9689797163009644, 0.8359123468399048, 0.8204387426376343]
+OCc1cccc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(Br)c1', 'OCc1cccc(I)c1', 'OCc1cccc(Cl)c1', 'OCc1cccc(B(O)O)c1', 'Clc1ccc2ocnc2c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1']; [0.9999159574508667, 0.9999082088470459, 0.9998630881309509, 0.9991626739501953, 0.998306155204773, 0.9982585906982422, 0.986859917640686, 0.9836341142654419]
+c1ncc2c(-c3ccc4ocnc4c3)csc2n1; ['Brc1csc2ncncc12']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; [0.9999698400497437]
+CSc1nc(-c2ccc3ocnc3c2)c[nH]1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ccc4ocnc4c3)cc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1']; ['Ic1cc2ccccc2[nH]1', 'OB(O)c1cc2ccccc2[nH]1', 'Clc1cc2ccccc2[nH]1', 'c1ccc2[nH]ccc2c1']; [0.9999977350234985, 0.9998506307601929, 0.9996109008789062, 0.7959646582603455]
 COc1cc(-c2ccc3ocnc3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2ccc3ocnc3c2)nn1; [None]; [None]; [0]
+Nc1nc(-c2ccc3ocnc3c2)cs1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC(=O)c1ccc2ocnc2c1', None]; ['Nc1nc(Cl)cs1', 'NC(N)=S', None]; [0.9999907612800598, 0.9999521374702454, 0]
 c1nc2cc(CCc3c[nH]nn3)ccc2o1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ccc2ocnc2c1; [None]; [None]; [0]
-O=C(Nc1ccc2ocnc2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc3ocnc3c2)c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; ['N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; [0.9999043345451355, 0.9993997812271118, 0.9940739870071411]
+Nc1ncncc1-c1ccc2ocnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1']; ['Nc1ncncc1Br', 'Nc1ncncc1I', 'Nc1ncncc1Br']; [0.9999920129776001, 0.9999860525131226, 0.9974716901779175]
+CC(C)c1oncc1-c1ccc2ocnc2c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.9999986886978149]
+Fc1ccc(-c2ccc3ocnc3c2)c(C(F)(F)F)c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1']; [0.9999980330467224, 0.9999933242797852, 0.999972939491272, 0.9999711513519287, 0.999770998954773, 0.9989867210388184, 0.9983793497085571, 0.9982393980026245]
+O=C(Nc1ccc2ocnc2c1)c1c(Cl)cccc1Cl; ['Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'COC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'Brc1ccc2ocnc2c1', 'O=C(Cl)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'NC(=O)c1c(Cl)cccc1Cl', 'O=[N+]([O-])c1ccc2ocnc2c1']; [0.9999386072158813, 0.9999368190765381, 0.9993624687194824, 0.9986238479614258, 0.9968857765197754, 0.9942913055419922]
+CC(=O)Nc1cccc(-c2ccc3ocnc3c2)c1; ['Brc1ccc2ocnc2c1', 'CC(=O)Nc1cccc(Br)c1', 'Brc1ccc2ocnc2c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Brc1ccc2ocnc2c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC(=O)Nc1cccc(B(O)O)c1', 'Clc1ccc2ocnc2c1', 'CC(=O)Nc1cccc(Br)c1']; [0.9999894499778748, 0.9999852776527405, 0.9991257190704346, 0.9817718267440796, 0.9638309478759766]
+c1ccc(Oc2ccc3ocnc3c2)nc1; ['Clc1ccccn1', 'Brc1ccccn1', 'Fc1ccccn1', 'Fc1ccc2ocnc2c1', 'Ic1ccccn1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1']; ['Oc1ccc2ocnc2c1', 'Oc1ccc2ocnc2c1', 'Oc1ccc2ocnc2c1', '[O-]c1ccccn1', 'Oc1ccc2ocnc2c1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1']; [0.9992127418518066, 0.9954783916473389, 0.9930204153060913, 0.9811418056488037, 0.9689471125602722, 0.9563710689544678, 0.9549095630645752, 0.8782386779785156]
+CCNc1nc2ccc(-c3ccc4ocnc4c3)cc2s1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ccc3ocnc3c2)CC1; ['Brc1ccc2ocnc2c1', 'CS(=O)(=O)C1CCNCC1']; ['CS(=O)(=O)C1CCNCC1', 'Fc1ccc2ocnc2c1']; [0.9823440313339233, 0.9715596437454224]
+Cn1cc(-c2ccc3ocnc3c2)c2ccccc21; ['Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; [0.9999987483024597, 0.9999492168426514, 0.9999170303344727]
+COc1ccc(-c2ccc3ocnc3c2)cc1Cl; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'COc1ccc(B(O)O)cc1Cl', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(I)cc1Cl', 'Clc1ccc2ocnc2c1', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'Clc1ccc2ocnc2c1', 'COc1ccccc1Cl', 'COc1ccc([Mg]Br)cc1Cl']; [0.9999881982803345, 0.9999833106994629, 0.9999703168869019, 0.9997770190238953, 0.9996500015258789, 0.9994471669197083, 0.9994040727615356, 0.9811482429504395, 0.9708592891693115, 0.9533944725990295, 0.8800777196884155]
 CC(C)(COc1ccc2ocnc2c1)S(C)(=O)=O; [None]; [None]; [0]
+NC(=O)CCCc1ccc2ocnc2c1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ccc2ocnc2c1; [None]; [None]; [0]
+CCCn1cc(-c2ccc3ocnc3c2)cn1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CCCn1cc(B(O)O)cn1', 'Brc1ccc2ocnc2c1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1', 'Clc1ccc2ocnc2c1', 'CCCn1cc(Br)cn1']; [0.9999997615814209, 0.9999995827674866, 0.9999992251396179, 0.9999745488166809, 0.9997791051864624, 0.999613881111145]
+c1ccn2ncc(-c3ccc4ocnc4c3)c2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1cnn2ccccc12', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12']; ['Ic1cnn2ccccc12', 'Clc1cnn2ccccc12', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'Clc1ccc2ocnc2c1', 'OB(O)c1cnn2ccccc12', 'Brc1cnn2ccccc12', 'c1ccn2nccc2c1', 'c1ccc2ocnc2c1', 'c1ccc2ocnc2c1']; [0.9999995231628418, 0.999994158744812, 0.9999929666519165, 0.9999929666519165, 0.9999690055847168, 0.9997813701629639, 0.9962671995162964, 0.99365234375, 0.9837812185287476, 0.8817136883735657, 0.827206015586853]
+O=c1cc(-c2ccc3ocnc3c2)cc[nH]1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'O=c1cc(Br)cc[nH]1']; [0.9999768733978271, 0.9999444484710693]
+C[S@](=O)c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CS(=O)c1ccc(B(O)O)cc1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2ocnc2c1']; [0.9999992251396179, 0.9999877214431763, 0.9998974800109863, 0.9940812587738037]
+O=C1CCc2cccc(-c3ccc4ocnc4c3)c21; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1']; ['O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Br)c21']; [0.9999956488609314, 0.9999079704284668, 0.9888589382171631]
+C[C@@H](Oc1ccc2ocnc2c1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Brc1ccc2ocnc2c1', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Nc1ccc2ocnc2c1', 'Oc1ccc2ocnc2c1', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Fc1ccc2ocnc2c1']; [0.9978649616241455, 0.9976727962493896, 0.9821612238883972, 0.8909630179405212]
+CCN(CC)c1ccc2ocnc2c1; [None, None, 'CCOS(=O)(=O)OCC', 'Brc1ccc2ocnc2c1']; [None, None, 'Nc1ccc2ocnc2c1', 'CCNCC']; [0, 0, 0.9495497345924377, 0.9489701986312866]
+CCNS(=O)(=O)c1ccccc1-c1ccc2ocnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1']; ['CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1', 'CCNS(=O)(=O)c1ccccc1Br']; [0.9999749660491943, 0.9985882043838501, 0.9475947022438049]
 [NH3+]Cc1ccc(-c2ccc3ocnc3c2)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ccc2ocnc2c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccc3ocnc3c2)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; [0.9999861717224121, 0.9999001026153564]
 O=c1[nH]cc(Br)c2sc(-c3ccc4ocnc4c3)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2ccc3ocnc3c2)cc1; [None]; [None]; [0]
-CN(c1ccc2ocnc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ccc4ocnc4c3)cc12; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Nc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['O=c1[nH]ccc2oc(Br)cc12', 'O=c1[nH]ccc2occc12', 'O=c1[nH]ccc2occc12']; [0.9999986886978149, 0.9962972402572632, 0.9943592548370361]
+COc1ccncc1Nc1ccc2ocnc2c1; ['COc1ccncc1Cl', 'COc1ccncc1F', 'COc1ccncc1B(O)O', 'COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1N', 'Brc1ccc2ocnc2c1']; ['Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1', 'COc1ccncc1N']; [0.9999580383300781, 0.9997187852859497, 0.9996510148048401, 0.9995442628860474, 0.9992084503173828, 0.9989811182022095, 0.9982888698577881, 0.9979649186134338]
+c1ccc2ncc(Nc3ccc4ocnc4c3)cc2c1; ['Clc1cnc2ccccc2c1', 'Brc1ccc2ocnc2c1', 'Ic1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Clc1ccc2ocnc2c1']; ['Nc1ccc2ocnc2c1', 'Nc1cnc2ccccc2c1', 'Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'Nc1cnc2ccccc2c1']; [0.9996719360351562, 0.9995557069778442, 0.9993430376052856, 0.998949408531189, 0.9985939264297485]
+COc1cc(CCc2ccc3ocnc3c2)cc(OC)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccc3ocnc3c2)c1; ['CC(C)Oc1cncc(Br)c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1', 'Clc1ccc2ocnc2c1']; [0.9999984502792358, 0.9999978542327881, 0.9999747276306152, 0.9982136487960815, 0.9964902400970459]
+c1ccc(-c2ccncc2Nc2ccc3ocnc3c2)cc1; ['Brc1cnccc1-c1ccccc1', 'Nc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1', 'Nc1cnccc1-c1ccccc1']; ['Nc1ccc2ocnc2c1', 'OB(O)c1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'c1ccc2ocnc2c1']; [0.9999535083770752, 0.9999284148216248, 0.9997607469558716, 0.9976130723953247, 0.9907008409500122, 0.8907266855239868]
+c1cc2cc(-c3ccc4ocnc4c3)cnc2[nH]1; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; [0.9999997615814209, 0.9999992847442627, 0.9999986886978149, 0.9999375343322754, 0.9993704557418823]
+c1cc2c(-c3ccc4ocnc4c3)c[nH]c2cn1; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9999808073043823, 0.9999744892120361, 0.9729830026626587]
+CC(C)(C)c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC(C)(C)c1ccc([Mg]Br)cc1', 'CC(C)(C)c1ccc([Mg]Br)cc1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Clc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'Clc1ccc2ocnc2c1', 'CC(C)(C)c1ccc([Mg]Br)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'Clc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1']; [0.9999992847442627, 0.9999942779541016, 0.9999932646751404, 0.999982476234436, 0.999914288520813, 0.999860405921936, 0.9997216463088989, 0.9982756972312927, 0.9923678636550903, 0.984581470489502, 0.8975817561149597, 0.8702607154846191]
+COc1cccc(F)c1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2ocnc2c1', 'COc1cccc(F)c1B(O)O', 'Brc1ccc2ocnc2c1']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'Clc1ccc2ocnc2c1', 'COc1cccc(F)c1Br', 'Clc1ccc2ocnc2c1', 'COc1cccc(F)c1']; [0.9999988079071045, 0.9999964833259583, 0.9999960064888, 0.9999822974205017, 0.9999773502349854, 0.9999642372131348, 0.9999589920043945, 0.9987335205078125, 0.9984025955200195, 0.9942551851272583]
+CNC(=O)c1c(F)cccc1-c1ccc2ocnc2c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; ['CNC(=O)c1ccccc1F']; [0.9989151954650879]
+CNS(=O)(=O)c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Clc1ccc2ocnc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'Clc1ccc2ocnc2c1']; [0.9999741315841675, 0.9998705387115479, 0.999792218208313, 0.9993557929992676, 0.9992733001708984, 0.9942084550857544]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2ocnc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Clc1ccc2ocnc2c1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1ccc2ocnc2c1']; [0.9999862909317017, 0.99991375207901, 0.9998190402984619, 0.9996111989021301, 0.9954822659492493]
+c1nc2cc(-c3ccc(N4CCOCC4)cc3)ccc2o1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Clc1ccc2ocnc2c1', 'Brc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ccc2ocnc2c1', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Brc1ccc2ocnc2c1']; [0.9999997615814209, 0.9999975562095642, 0.9999972581863403, 0.9999891519546509, 0.9999889135360718, 0.9999763369560242, 0.9998698234558105, 0.9996025562286377]
 C[C@H](Nc1ccc2ocnc2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2ccc3ocnc3c2)n1; [None]; [None]; [0]
+CC1(c2ccc3ocnc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CN(c1ccc2ocnc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Clc1ccc2ocnc2c1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'Clc1ccc2ocnc2c1', 'CS(=O)(=O)c1ccc(Br)cc1']; [0.9999980926513672, 0.9999936819076538, 0.999990701675415, 0.999957799911499, 0.9999145269393921, 0.9998499751091003, 0.9995529055595398, 0.998509407043457, 0.9753737449645996]
+Cc1cc(-c2ccc3ocnc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+OCc1ccn(-c2ccc3ocnc3c2)n1; ['Brc1ccc2ocnc2c1']; ['OCc1cc[nH]n1']; [0.9867433309555054]
+C[C@H](Nc1ccc2ocnc2c1)C(C)(C)O; ['CC(=O)C(C)(C)O', 'Brc1ccc2ocnc2c1']; ['Nc1ccc2ocnc2c1', 'C[C@H](N)C(C)(C)O']; [0.980096161365509, 0.9495777487754822]
+C[C@@H](Nc1ccc2ocnc2c1)C(C)(C)O; ['CC(=O)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'Brc1ccc2ocnc2c1']; ['Nc1ccc2ocnc2c1', 'Nc1ccc2ocnc2c1', 'C[C@@H](N)C(C)(C)O']; [0.980096161365509, 0.9597638845443726, 0.9495777487754822]
+Oc1ccc2nc(-c3ccc4ocnc4c3)[nH]c2c1; ['Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N']; ['O=Cc1ccc2ocnc2c1', 'O=C(O)c1ccc2ocnc2c1', 'O=Cc1ccc2ocnc2c1']; [0.992576539516449, 0.9619827270507812, 0.9273984432220459]
+Fc1cccc(Cl)c1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1I', 'OB(O)c1c(F)cccc1Cl', 'Clc1ccc2ocnc2c1', 'Fc1cccc(Cl)c1Cl', 'Fc1cccc(Cl)c1Br', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1']; [0.9999995231628418, 0.9999990463256836, 0.9999983310699463, 0.9999891519546509, 0.9999889731407166, 0.9999526739120483, 0.9999393820762634, 0.9996143579483032, 0.9975924491882324, 0.8091755509376526]
+c1ccc2c(c1)cnn2-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1']; ['c1ccc2[nH]ncc2c1']; [0.9275742769241333]
+OCCc1cn(-c2ccc3ocnc3c2)cn1; [None]; [None]; [0]
+c1ncn(-c2ccc(-c3ccc4ocnc4c3)cc2)n1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; ['c1ccc(-n2cncn2)cc1']; [0.9992490410804749]
+CSc1nc(C)c(-c2ccc3ocnc3c2)[nH]1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.9915971159934998, 0.8848056793212891]
+c1nc2cc(-c3nncn3C3CC3)ccc2o1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc2ocnc2c1; [None]; [None]; [0]
+COc1ccc(-c2ccc3ocnc3c2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc3ocnc3c2)cc1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Clc1ccc2ocnc2c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Clc1ccc2ocnc2c1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccccc1', 'c1ccc2ocnc2c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'c1ccc2ocnc2c1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9999843835830688, 0.9999507665634155, 0.9998283386230469, 0.9996694326400757, 0.999485433101654, 0.9987084865570068, 0.9970566630363464, 0.9960514307022095, 0.9944866895675659, 0.983771562576294, 0.9562363624572754, 0.8084665536880493, 0.7999793291091919]
+c1ccc(Cn2cc(-c3ccc4ocnc4c3)nn2)cc1; [None]; [None]; [0]
+CCc1cc(-c2ccc3ocnc3c2)nc(N)n1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; ['CCc1cc(Cl)nc(N)n1']; [0.9999703764915466]
+Nc1nnc(-c2ccc3ocnc3c2)s1; ['NNC(N)=S', 'N#Cc1ccc2ocnc2c1']; ['O=C(O)c1ccc2ocnc2c1', 'NNC(N)=S']; [0.9998567700386047, 0.9995144605636597]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3ocnc3c2)CC1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ccc5ocnc5c4)n3n2)cc1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1ccc2ocnc2c1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2ccc3ocnc3c2)n1; [None]; [None]; [0]
+O=C(CCc1ccc2ocnc2c1)NCc1ccccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3ocnc3c2)s1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; ['CNC(=O)c1ccc(Br)s1']; [0.9999986290931702]
+CCCCc1cc(-c2ccc3ocnc3c2)nc(N)n1; [None]; [None]; [0]
 O=S(=O)(Cc1ccc2ocnc2c1)NCc1ccccn1; [None]; [None]; [0]
+c1ccc2sc(-c3ccc4ocnc4c3)nc2c1; ['Brc1nc2ccccc2s1', 'Nc1ccccc1I', 'Nc1ccccc1S', 'Nc1ccccc1S', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'N#Cc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Nc1ccccc1SSc1ccccc1N', 'c1ccc2ocnc2c1']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'O=Cc1ccc2ocnc2c1', 'O=C(O)c1ccc2ocnc2c1', 'O=Cc1ccc2ocnc2c1', 'Clc1nc2ccccc2s1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'O=Cc1ccc2ocnc2c1', 'c1ccc2scnc2c1']; [0.9999902248382568, 0.9999887943267822, 0.9999868869781494, 0.9999861717224121, 0.9999827742576599, 0.9999212026596069, 0.9997615814208984, 0.9990873336791992, 0.9615830779075623]
+CC(C)(O)c1cccc(-c2ccc3ocnc3c2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC(C)(O)c1cccc(Br)n1']; [0.9999909400939941, 0.9999579787254333, 0.9974521398544312]
+CC1(C)Oc2ccc(-c3ccc4ocnc4c3)nc2NC1=O; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1']; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2cccnc2NC1=O']; [0.9999890327453613, 0.8408170938491821]
+Cn1cc(C(N)=O)cc1-c1ccc2ocnc2c1; [None]; [None]; [0]
+Nc1cncc(-c2ccc3ocnc3c2)n1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1']; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'Nc1cncc(Br)n1']; [0.9999904632568359, 0.9999828934669495, 0.9843254089355469]
+C[C@@H2]NC(=O)N1CCC(c2ccc3ocnc3c2)CC1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2ccc3ocnc3c2)c(F)c1; [None]; [None]; [0]
+c1cc(-c2ccc3ocnc3c2)c2sccc2c1; ['Brc1ccc2ocnc2c1', 'Brc1cccc2ccsc12', 'Brc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999985098838806, 0.999984860420227, 0.99982750415802, 0.9762063026428223]
+Nc1nc(-c2ccc3ocnc3c2)nc2ccccc12; ['N#Cc1ccccc1Br', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; ['O=Cc1ccc2ocnc2c1', 'Nc1nc(Cl)nc2ccccc12']; [0.9997496604919434, 0.9997425079345703]
+c1ccc2nc(-c3ccc4ocnc4c3)ncc2c1; ['Brc1ncc2ccccc2n1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'BrCc1ccccc1Br', 'Nc1ccccc1CO', 'NCc1ccccc1N']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Clc1ncc2ccccc2n1', 'O=Cc1ccc2ocnc2c1', 'O=Cc1ccc2ocnc2c1', 'O=Cc1ccc2ocnc2c1']; [0.9999725818634033, 0.9998369216918945, 0.9980611801147461, 0.9977611899375916, 0.9950885772705078]
+c1cc(-c2ccc3ocnc3c2)c2snnc2c1; ['Brc1cccc2nnsc12', 'Brc1ccc2ocnc2c1']; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1cccc2nnsc12']; [0.9999986886978149, 0.9992806315422058]
+c1cnc2c(-c3ccc4ocnc4c3)c[nH]c2c1; ['Brc1ccc2ocnc2c1', 'Brc1c[nH]c2cccnc12']; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; [0.9999724626541138, 0.9997931122779846]
+c1cc2cnc(-c3ccc4ocnc4c3)nc2[nH]1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C']; ['Clc1ncc2cc[nH]c2n1']; [0.9999862313270569]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4ocnc4c3)c2)cc1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3ccc4ocnc4c3)nc2NC1=O; [None]; [None]; [0]
-c1cc(-c2ccc3ocnc3c2)c2snnc2c1; [None]; [None]; [0]
-COc1ccc(Oc2ccc3ocnc3c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc3ocnc3c2)n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O']; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1Br', 'Clc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; [0.9999723434448242, 0.9999709129333496, 0.9999605417251587, 0.999903678894043, 0.999830961227417, 0.9998167157173157, 0.9997137784957886, 0.9985112547874451, 0.9982668161392212, 0.993297278881073, 0.9901669025421143]
+COc1ccc(Oc2ccc3ocnc3c2)c(F)c1F; ['COc1ccc(Br)c(F)c1F', 'COc1ccc(B(O)O)c(F)c1F', 'Brc1ccc2ocnc2c1', 'COc1ccc(F)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc([N+](=O)[O-])c(F)c1F']; ['Oc1ccc2ocnc2c1', 'Oc1ccc2ocnc2c1', 'COc1ccc(O)c(F)c1F', 'Oc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1', 'Oc1ccc2ocnc2c1']; [0.9995464086532593, 0.9992059469223022, 0.9943547248840332, 0.9880802631378174, 0.9642512798309326, 0.934107780456543, 0.9070373773574829]
+OCCn1cnc(-c2ccc3ocnc3c2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc3ocnc3c2)c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Brc1ccc2ocnc2c1']; ['CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Clc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; [0.9999940395355225, 0.9999850988388062, 0.9997942447662354, 0.9993566274642944, 0.9912965893745422, 0.971448540687561]
+CC(=O)Nc1ncc(-c2ccc3ocnc3c2)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc3ocnc3c2)c1; ['CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)cc1']; ['COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'Clc1ccc2ocnc2c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)c([Mg]Br)c1', 'Clc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1', 'COc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; [0.9999929666519165, 0.9999756217002869, 0.9999738931655884, 0.9998844861984253, 0.9998680353164673, 0.9996470808982849, 0.9972352981567383, 0.9945287704467773, 0.9895169734954834, 0.989414632320404, 0.9828029870986938, 0.9647244215011597, 0.9067591428756714, 0.833807647228241, 0.7915589213371277]
+COc1ncccc1-c1ccc2ocnc2c1; ['Brc1ccc2ocnc2c1', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ocnc3c2)OC1(C)C', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1', 'COc1ncccc1B(O)O', 'Brc1ccc2ocnc2c1', 'Brc1ccc2ocnc2c1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'Clc1ccc2ocnc2c1', 'COc1ncccc1Br', 'COc1ccccn1']; [0.9999937415122986, 0.9999873638153076, 0.9999831318855286, 0.9999252557754517, 0.9998538494110107, 0.9988501667976379, 0.9973882436752319, 0.9314538240432739]
+C[C@@]1(O)CC[C@H](c2ccc3ocnc3c2)CC1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4ccc5ocnc5c4)CC3)nc2c1; ['Brc1ccc2ocnc2c1', 'Fc1ccc2ocnc2c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9985634088516235, 0.9711138010025024]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3ocnc3c2)C1; ['Brc1ccc2ocnc2c1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'Fc1ccc2ocnc2c1', 'Clc1ccc2ocnc2c1']; [0.9999140501022339, 0.9977564215660095, 0.996356189250946]
+Oc1cccc(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1cccc(O)c1']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'c1cnc2ccoc2c1']; [0.9999655485153198, 0.9991247653961182, 0.9920093417167664]
+Clc1ccc2c(c1-c1coc3cccnc13)OCO2; ['Brc1coc2cccnc12', 'OB(O)c1c(Cl)ccc2c1OCO2']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'c1cnc2ccoc2c1']; [0.9993481040000916, 0.954811692237854]
+c1cc(-c2coc3cccnc23)c2cccnc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1cccc2ncccc12', 'Ic1cccc2ncccc12']; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'OB(O)c1cccc2ncccc12', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1']; [0.9998483657836914, 0.997892439365387, 0.9737103581428528, 0.8103095889091492]
+Oc1cc(-c2coc3cccnc23)ccc1Cl; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999018907546997, 0.9993310570716858]
 O=C(Nc1cccc(-c2ccc3ocnc3c2)c1)C1CCNCC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9999070167541504, 0.9990971088409424]
+CN(C)c1cc(-c2ccc3ocnc3c2)cnn1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1coc2cccnc12; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br']; ['OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1']; [0.9976620674133301, 0.9524060487747192, 0.9406419992446899, 0.9242120981216431]
+Fc1ccc(Oc2coc3cccnc23)cc1; ['Brc1coc2cccnc12']; ['Oc1ccc(F)cc1']; [0.9864039421081543]
+c1ccc2c(-c3coc4cccnc34)n[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; [0.9999731183052063, 0.9975564479827881]
+COc1cc(C(N)=O)ccc1-c1coc2cccnc12; ['Brc1coc2cccnc12']; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; [0.9998630881309509]
+NC(=O)c1ccc(-c2coc3cccnc23)c(F)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1']; [0.9985159039497375, 0.9803591966629028]
+Oc1ccc(-c2coc3cccnc23)c(Cl)c1; ['Brc1coc2cccnc12']; ['OB(O)c1ccc(O)cc1Cl']; [0.9977755546569824]
+Nc1nccc(-c2coc3cccnc23)n1; ['Brc1coc2cccnc12']; ['Nc1ncccn1']; [0.7917448878288269]
+Oc1ccc(-c2coc3cccnc23)c(F)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Oc1ccc(Br)c(F)c1']; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'OB(O)c1ccc(O)cc1F', 'c1cnc2ccoc2c1']; [0.9981435537338257, 0.9953747391700745, 0.9069186449050903]
+COc1ccc(F)cc1-c1coc2cccnc12; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br']; ['COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1[Mg]Br', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1']; [0.9996134042739868, 0.9994482398033142, 0.9905860424041748, 0.9882490634918213, 0.9747496843338013, 0.9663975238800049]
+COc1cc(F)ccc1-c1coc2cccnc12; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'COc1cc(F)ccc1B(O)O', 'Brc1coc2cccnc12', 'COc1cc(F)ccc1Br']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'c1cnc2ccoc2c1', 'COc1cc(F)ccc1Br', 'c1cnc2ccoc2c1']; [0.9997549057006836, 0.9997186660766602, 0.9966168999671936, 0.9611219167709351, 0.8960152864456177]
+O=C([O-])c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2coc3cccnc23)o1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['COC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1']; [0.9995443820953369, 0.9603487253189087, 0.9210153818130493]
+COc1cc(-c2coc3cccnc23)ccc1O; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; [0.9999405145645142, 0.9968466758728027]
+Cc1nc2c(F)cc(-c3coc4cccnc34)cc2[nH]1; [None]; [None]; [0]
+Brc1cccc(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1cccc(Br)c1']; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'c1cnc2ccoc2c1']; [0.9997819662094116, 0.9991453886032104, 0.9987954497337341]
 Oc1ccc(-c2ccc(-c3coc4cccnc34)cc2)c(O)c1; [None]; [None]; [0]
-c1cnc2c(-c3cnn4ncccc34)coc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3coc4cccnc34)ccc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Brc1coc2cccnc12', 'Brc1ccc2ccccc2c1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'c1cnc2ccoc2c1', 'Brc1coc2cccnc12', 'c1ccc2ccccc2c1', 'c1cnc2ccoc2c1']; [0.9999938011169434, 0.9999935626983643, 0.9996359348297119, 0.9987809658050537, 0.9843701720237732, 0.9823101758956909]
+Oc1ccc(-c2coc3cccnc23)cc1F; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc(O)c(F)c1']; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'OB(O)c1ccc(O)c(F)c1', 'c1cnc2ccoc2c1']; [0.999983549118042, 0.9994223117828369, 0.9515206813812256]
+Clc1[nH]ncc1-c1coc2cccnc12; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; [0.9997413158416748, 0.9957518577575684, 0.868962287902832]
+Cn1cc(-c2coc3cccnc23)c2ccccc21; [None]; [None]; [0]
+c1cnc2c(-c3cnn4ncccc34)coc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'O=C(O)c1cnn2ncccc12']; [0.9989561438560486, 0.8077554106712341]
+Nc1cc(-c2coc3cccnc23)ccn1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1']; [0.9998832941055298, 0.9981235861778259, 0.9269723296165466]
+c1cnc2c(-c3c[nH]c4cnccc34)coc2c1; ['Brc1coc2cccnc12']; ['OB(O)c1c[nH]c2cnccc12']; [0.8832800388336182]
+Fc1ccc(-c2coc3cccnc23)cc1Cl; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1', 'Fc1ccccc1Cl']; [0.9999995231628418, 0.9999978542327881, 0.999496579170227, 0.9990798234939575, 0.9937770366668701, 0.7832098007202148]
+Oc1ccc(-c2coc3cccnc23)c(O)c1; [None]; [None]; [0]
+COc1cc(CCc2coc3cccnc23)ccc1O; [None]; [None]; [0]
+Clc1ccccc1OCc1coc2cccnc12; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.9964030981063843]
+Cc1ccc(CO)cc1-c1coc2cccnc12; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O']; [0.9991128444671631, 0.9168753623962402]
+Oc1ncc(-c2coc3cccnc23)cc1Cl; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Oc1ncc(Br)cc1Cl']; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Oc1ncc(Br)cc1Cl', 'Oc1ncccc1Cl', 'c1cnc2ccoc2c1']; [0.9999841451644897, 0.9625093936920166, 0.9580968022346497, 0.7909344434738159]
+Cc1ccc2[nH]ncc2c1-c1coc2cccnc12; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br']; [0.9997333288192749, 0.9880576133728027, 0.8755217790603638]
+Oc1ccc(Cl)c(-c2coc3cccnc23)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'COc1cc(Br)cc(OC)c1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'c1cnc2ccoc2c1']; [0.9999860525131226, 0.9999661445617676, 0.9912919998168945, 0.989712655544281, 0.9272501468658447]
+COc1ccc(-c2coc3cccnc23)cc1OC; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'COc1ccc(B(O)O)cc1OC', 'Brc1coc2cccnc12', 'COc1ccc(Br)cc1OC', 'Brc1coc2cccnc12']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'c1cnc2ccoc2c1', 'COc1ccc(Br)cc1OC', 'c1cnc2ccoc2c1', 'COc1ccccc1OC']; [0.9999526739120483, 0.9993319511413574, 0.987249493598938, 0.9342646598815918, 0.851119875907898, 0.7994744777679443]
+NC(=O)c1cc(-c2coc3cccnc23)c[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CCOc1cccc(Br)c1']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1', 'c1cnc2ccoc2c1']; [0.9999836683273315, 0.9998785853385925, 0.9508327841758728, 0.8913551568984985]
+Cc1nc2ccc(-c3coc4cccnc34)cc2[nH]1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1']; [0.999992311000824, 0.927804708480835]
+COc1cc(CCc2coc3cccnc23)cc(OC)c1; ['Brc1coc2cccnc12']; ['COc1cc(CCBr)cc(OC)c1']; [0.9955209493637085]
+c1cnc2c(-c3cnc4[nH]ccc4c3)coc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1coc2cccnc12', 'c1cnc2ccoc2c1']; [0.9999985694885254, 0.9999819993972778, 0.9992377758026123, 0.9753427505493164]
+c1ccc2sc(-c3coc4cccnc34)nc2c1; ['Brc1coc2cccnc12']; ['c1ccc2scnc2c1']; [0.9892003536224365]
+CS(=O)(=O)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1']; [0.9999891519546509, 0.9994502067565918, 0.9862552881240845, 0.9376869201660156]
+NC(=O)Nc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
+Oc1cncc(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1']; [0.9999250769615173, 0.9945811629295349, 0.9004545211791992]
+CNC(=O)c1cccc2cc(-c3coc4cccnc34)ccc12; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1coc2cccnc12; [None]; [None]; [0]
+CNc1nccc(-c2coc3cccnc23)n1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1coc2cccnc12; [None]; [None]; [0]
+O=C1Cc2cc(-c3coc4cccnc34)ccc2N1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9999001622200012, 0.9994567632675171, 0.8627517223358154]
+Cc1n[nH]c(-c2coc3cccnc23)c1C; ['Brc1coc2cccnc12']; ['Cc1c[nH]nc1C']; [0.9826256036758423]
+Cc1cc(O)ccc1-c1coc2cccnc12; ['Brc1coc2cccnc12']; ['Cc1cc(O)ccc1B(O)O']; [0.9976006746292114]
 Cc1n[nH]c2cc(N(C)c3coc4cccnc34)ccc12; [None]; [None]; [0]
-Oc1cc(-c2coc3cccnc23)nc2ccnn12; [None]; [None]; [0]
+CCc1sccc1-c1coc2cccnc12; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1coc2cccnc12; ['Brc1coc2cccnc12']; ['CNc1cccc(Cl)c1']; [0.9734723567962646]
+FC(F)c1cc(-c2coc3cccnc23)[nH]n1; ['Brc1coc2cccnc12']; ['FC(F)c1cc[nH]n1']; [0.7845707535743713]
+Clc1cnccc1-c1coc2cccnc12; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'OB(O)c1ccncc1Cl', 'Clc1cccnc1']; [0.9978963136672974, 0.9811717867851257, 0.8049713373184204]
+C[C@H](CC(N)=O)c1coc2cccnc12; [None]; [None]; [0]
+c1cnc2c(-c3ccc4c(c3)CCN4)coc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1ccc2c(c1)CCN2']; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'OB(O)c1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2', 'Brc1coc2cccnc12']; [0.9999894499778748, 0.9995569586753845, 0.9983233213424683, 0.9635886549949646]
+Oc1c(Cl)cc(-c2coc3cccnc23)cc1Cl; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cccc1Cl']; [0.999911367893219, 0.9992795586585999, 0.76020348072052]
+Oc1cc(-c2coc3cccnc23)nc2ccnn12; ['Brc1coc2cccnc12']; ['Oc1ccnc2ccnn12']; [0.9529901146888733]
+O=c1[nH]c2ccc(-c3coc4cccnc34)cc2[nH]1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.9999589920043945, 0.9999392628669739, 0.8804625272750854]
 Cc1oc(-c2coc3cccnc23)cc1C(=O)[O-]; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)c1coc2cccnc12; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2-c2coc3cccnc23)cc1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1coc2cccnc12; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3coc4cccnc34)cc2)CC1; [None]; [None]; [0]
+c1cnc2c(Nc3ccncc3)coc2c1; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1coc2cccnc12; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br']; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'OB(O)c1ccc(Br)cc1F', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1']; [0.9990817308425903, 0.9765074849128723, 0.9055346846580505, 0.7961381673812866]
+CNC(=O)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12']; ['CNC(=O)c1ccc(B(O)O)cc1']; [0.9984830617904663]
+Fc1ccc2n[nH]c(-c3coc4cccnc34)c2c1; ['Brc1coc2cccnc12']; ['Fc1ccc2n[nH]cc2c1']; [0.9965276122093201]
+Oc1cc(Br)cc(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1cc(O)cc(Br)c1']; ['CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'OB(O)c1cc(O)cc(Br)c1', 'c1cnc2ccoc2c1']; [0.9986203908920288, 0.9981238842010498, 0.9942396283149719]
+CN(c1cccc2[nH]ncc12)c1coc2cccnc12; ['Brc1coc2cccnc12']; ['CNc1cccc2[nH]ncc12']; [0.994706928730011]
+CNc1nc(-c2coc3cccnc23)ncc1F; [None]; [None]; [0]
+Cc1nc2ccc(-c3coc4cccnc34)cc2o1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1']; [0.9999984502792358, 0.9999980926513672]
+Cn1ncc(N)c1-c1coc2cccnc12; [None]; [None]; [0]
+Cc1cc(-c2coc3cccnc23)ccc1C(N)=O; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O']; [0.9999985694885254, 0.9871050119400024]
+O=C(NC1CC1)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999969601631165, 0.9998871684074402, 0.9532966017723083]
+Cc1cc(-c2coc3cccnc23)cc(C)c1O; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O']; [0.9997625350952148, 0.9925633668899536]
+Oc1c(F)cc(-c2coc3cccnc23)cc1F; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'OB(O)c1cc(F)c(O)c(F)c1']; [0.9998095631599426, 0.9807437062263489]
+CSc1cccc(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CSc1cccc(B(O)O)c1', 'Brc1coc2cccnc12']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'c1cnc2ccoc2c1', 'CSc1cccc(Br)c1']; [0.999982476234436, 0.9992761611938477, 0.9609384536743164, 0.9427502751350403]
+O=c1[nH][nH]c2cc(-c3coc4cccnc34)ccc12; ['O=c1[nH][nH]c2cc(Br)ccc12']; ['c1cnc2ccoc2c1']; [0.978858232498169]
+Fc1ccc(Oc2coc3cccnc23)c(F)c1; ['Brc1coc2cccnc12']; ['Oc1ccc(F)cc1F']; [0.9987521171569824]
+Cc1onc(-c2ccccc2)c1-c1coc2cccnc12; ['Brc1coc2cccnc12']; ['Cc1onc(-c2ccccc2)c1B(O)O']; [0.999931812286377]
+Fc1ccc(-c2ncoc2-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12']; ['Fc1ccc(-c2cocn2)cc1']; [0.9805126190185547]
+c1ccc2c(COc3coc4cccnc34)cccc2c1; [None]; [None]; [0]
+Fc1ccc(COc2coc3cccnc23)c(F)c1; [None]; [None]; [0]
+Fc1cccc(Cl)c1CNc1coc2cccnc12; ['Brc1coc2cccnc12']; ['NCc1c(F)cccc1Cl']; [0.9999619126319885]
+Fc1ccc(CCc2coc3cccnc23)c(F)c1; ['Brc1coc2cccnc12']; ['Fc1ccc(CCBr)c(F)c1']; [0.9960184097290039]
+c1ccc2nc(-c3coc4cccnc34)ncc2c1; [None]; [None]; [0]
+CCOc1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CCOc1ccc(Br)cc1', 'Brc1coc2cccnc12', 'CCOc1ccc(I)cc1']; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc([Mg]Br)cc1', 'c1cnc2ccoc2c1', 'CCOc1ccccc1', 'c1cnc2ccoc2c1']; [0.9999793767929077, 0.9982702732086182, 0.981447696685791, 0.9665813446044922, 0.9280166625976562, 0.8569722771644592, 0.7654646635055542]
+CC(=O)N(C)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CC(=O)N(C)c1ccc(Br)cc1', 'Brc1coc2cccnc12']; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'c1cnc2ccoc2c1', 'CC(=O)N(C)c1ccccc1']; [0.9999890327453613, 0.9706253409385681, 0.9096047878265381, 0.7930635213851929]
+Clc1ccc(-c2[nH]ncc2-c2coc3cccnc23)cc1; [None]; [None]; [0]
+COc1ncccc1-c1coc2cccnc12; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; [0.9934399127960205, 0.9171217679977417]
+c1ccc2c(CCc3coc4cccnc34)c[nH]c2c1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1coc2cccnc12; ['Brc1coc2cccnc12']; ['Cc1csc(C(C)(C)O)n1']; [0.9938722848892212]
+CS(=O)(=O)c1cccc(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Brc1coc2cccnc12', 'CS(=O)(=O)c1cccc(Br)c1']; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'c1cnc2ccoc2c1', 'CS(=O)(=O)c1cccc(Br)c1', 'c1cnc2ccoc2c1']; [0.9999974966049194, 0.9999688267707825, 0.9976425170898438, 0.9974557161331177, 0.9890196323394775]
+COc1cc(-c2coc3cccnc23)cc(OC)c1OC; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1']; [0.999903678894043, 0.998987078666687, 0.9707064628601074, 0.9381266236305237, 0.9000924229621887]
+c1cnc2c(-c3cnc4cccnn34)coc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'c1cnc2ccoc2c1']; ['c1cnn2ccnc2c1', 'Clc1cnc2cccnn12', 'O=C(O)c1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9979636073112488, 0.9979163408279419, 0.97966468334198, 0.9183992147445679]
+COc1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'COc1ccc(B(O)O)cc1', 'Brc1coc2cccnc12', 'COc1ccc(Br)cc1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'c1cnc2ccoc2c1', 'COc1ccccc1', 'c1cnc2ccoc2c1']; [0.999976634979248, 0.9986663460731506, 0.9890439510345459, 0.9675487279891968, 0.9560723900794983, 0.9328171610832214]
+c1cnc2c(-c3ccc(N4CCOCC4)cc3)coc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'c1cnc2ccoc2c1']; [0.9999986886978149, 0.9999251365661621, 0.9999126195907593, 0.9985654354095459]
+Cc1cc(Nc2coc3cccnc23)sn1; ['Brc1coc2cccnc12']; ['Cc1cc(N)sn1']; [0.982016921043396]
+N#Cc1ccc(O)c(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12']; ['N#Cc1ccc(O)c(B(O)O)c1']; [0.9741270542144775]
+c1cnc(Nc2coc3cccnc23)nc1; ['Brc1coc2cccnc12']; ['Nc1ncccn1']; [0.9675248861312866]
+c1ccc2[nH]c(-c3coc4cccnc34)nc2c1; [None]; [None]; [0]
+c1ccc2c(-c3coc4cccnc34)nccc2c1; ['Brc1coc2cccnc12']; ['OB(O)c1nccc2ccccc12']; [0.9928775429725647]
+O=C(Nc1cccc(-c2coc3cccnc23)c1)C1CC1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3coc4cccnc34)c2c1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3coc4cccnc34)cn2)c1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3coc4cccnc34)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(-c2coc3cccnc23)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3coc4cccnc34)c2)CC1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; [0.9999910593032837, 0.9997527599334717]
+OCCOc1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'OCCOc1ccc(B(O)O)cc1']; [0.9999527931213379, 0.9983333349227905]
+c1cc(-c2coc3cccnc23)cc(C2CCNCC2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2coc3cccnc23)cc1)N1CCOCC1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9999991655349731, 0.9998984336853027, 0.9995831251144409, 0.9756639003753662]
+c1cnc2c(Nc3ccncn3)coc2c1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3coc4cccnc34)cc2)CC1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(-c3coc4cccnc34)cc2C1; ['Brc1coc2cccnc12']; ['O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9817849397659302]
+FC(F)(F)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(C(F)(F)F)cc1', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1', 'FC(F)(F)c1ccccc1']; [0.9999927878379822, 0.9999224543571472, 0.9973565340042114, 0.9960919618606567, 0.9758923649787903]
+Cc1nc(C)c(-c2coc3cccnc23)s1; ['Brc1coc2cccnc12']; ['Cc1csc(C)n1']; [0.9499006271362305]
+CN(C)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CN(C)c1ccc(B(O)O)cc1', 'Brc1coc2cccnc12', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'c1cnc2ccoc2c1', 'CN(C)c1ccccc1', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1']; [0.9999927878379822, 0.9997491836547852, 0.9957944750785828, 0.9918588995933533, 0.9864683151245117, 0.9772545695304871, 0.9582638740539551]
+O=C(c1ccc(-c2coc3cccnc23)nc1)N1CCOCC1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'c1cnc2ccoc2c1']; [0.9999710321426392, 0.999106764793396, 0.8367469310760498]
+C[C@@H](O)COc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; [0.9989781975746155, 0.9228422045707703]
+CC(C)c1cc(-c2coc3cccnc23)nc(N)n1; ['Brc1coc2cccnc12']; ['CC(C)c1ccnc(N)n1']; [0.9893021583557129]
+Brc1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'OB(O)c1ccc(Br)cc1', 'c1cnc2ccoc2c1']; [0.9999327063560486, 0.9884573221206665, 0.8653783202171326]
+CS(=O)(=O)N1CCC(c2coc3cccnc23)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2coc3cccnc23)nc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1']; [0.9999980330467224, 0.9997698664665222, 0.9957796335220337, 0.964026927947998, 0.9207077026367188]
+O=C(c1ccccc1)N1CC[C@H](c2coc3cccnc23)C1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3coc4cccnc34)c2)CC1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1coc2cccnc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2coc3cccnc23)c(C)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; [0.9995924234390259, 0.9973530769348145]
+c1ccc2c(-c3coc4cccnc34)c[nH]c2c1; ['Brc1coc2cccnc12']; ['OB(O)c1c[nH]c2ccccc12']; [0.8357437252998352]
+c1cnc2c(-c3ccn4nccc4n3)coc2c1; ['Brc1coc2cccnc12']; ['c1cnc2ccnn2c1']; [0.9972643852233887]
+CN(C)c1ccc(-c2coc3cccnc23)cc1Cl; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CN(C)c1ccc(Br)cc1Cl']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl', 'c1cnc2ccoc2c1']; [0.9999974966049194, 0.9966734647750854, 0.9845246076583862, 0.866824746131897]
+COc1ccc(Cl)cc1-c1coc2cccnc12; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'COc1ccc(Cl)cc1Br']; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1Br', 'c1cnc2ccoc2c1']; [0.9992110133171082, 0.9982249140739441, 0.9365372061729431, 0.8308290243148804]
+c1ccc(-n2cccn2)c(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'OB(O)c1ccccc1-n1cccn1', 'c1cnc2ccoc2c1', 'Brc1coc2cccnc12', 'c1cnc2ccoc2c1', 'c1ccc(-n2cccn2)cc1']; [0.9995172023773193, 0.9972280263900757, 0.9634979963302612, 0.9440436363220215, 0.902147114276886, 0.7906319499015808]
+COc1cc(OC)c(-c2coc3cccnc23)cc1Cl; ['Brc1coc2cccnc12']; ['COc1cc(OC)c(Br)cc1Cl']; [0.9182881116867065]
+CC(=O)Nc1cccc(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; [0.9999662637710571, 0.9995822906494141]
+c1cnc2c(-c3ccc4c(c3)CCO4)coc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'Br[Mg]c1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)CCO2', 'c1cnc2ccoc2c1', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'c1cnc2ccoc2c1']; [0.9999922513961792, 0.999920129776001, 0.9980454444885254, 0.9936807155609131, 0.9820928573608398, 0.9534600973129272]
+c1ccc(-c2cc(-c3coc4cccnc34)n[nH]2)cc1; ['Brc1coc2cccnc12']; ['c1ccc(-c2ccn[nH]2)cc1']; [0.937453031539917]
+c1ccc2ncc(-c3coc4cccnc34)cc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1cnc2ccccc2c1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'OB(O)c1cnc2ccccc2c1', 'Brc1coc2cccnc12']; [0.9999902248382568, 0.9992109537124634, 0.9897664785385132]
 CC(C)c1ccc2nc(-c3coc4cccnc34)[nH]c2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'Brc1coc2cccnc12']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1', 'CC(C)(C)c1ccccc1']; [0.9999983906745911, 0.999817967414856, 0.9983840584754944, 0.994680643081665, 0.9933966398239136, 0.9907517433166504]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1coc2cccnc12; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3coc4cccnc34)nc2c1F; [None]; [None]; [0]
+c1cnc2c(-c3scc4c3OCCO4)coc2c1; ['Brc1coc2cccnc12']; ['c1scc2c1OCCO2']; [0.9999606609344482]
+c1cc2c(c(-c3coc4cccnc34)c1)OCO2; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1cccc2c1OCO2', 'Brc1cccc2c1OCO2']; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'OB(O)c1cccc2c1OCO2', 'c1cnc2ccoc2c1', 'Brc1coc2cccnc12']; [0.9999254941940308, 0.9974184036254883, 0.9922923445701599, 0.9880051016807556]
+CN(C)C(=O)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; [0.9999957084655762, 0.999552845954895, 0.9637985229492188]
+COc1cccc(C(=O)Nc2coc3cccnc23)c1; ['Brc1coc2cccnc12']; ['COc1cccc(C(N)=O)c1']; [0.9177408218383789]
+CC(C)(C)c1ccc(-c2coc3cccnc23)cn1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'Brc1coc2cccnc12']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1', 'CC(C)(C)c1ccc(Br)cn1']; [0.9999938011169434, 0.9996103048324585, 0.9976362586021423, 0.9962018728256226, 0.9930609464645386]
+Nc1nc(-c2coc3cccnc23)cs1; [None]; [None]; [0]
+CC1(COc2coc3cccnc23)COC1; ['Brc1coc2cccnc12']; ['CC1(CO)COC1']; [0.9466875791549683]
+Clc1cccc(-n2ccc(-c3coc4cccnc34)n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CSc1ccc(B(O)O)cc1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1', 'c1cnc2ccoc2c1']; [0.9999744296073914, 0.9971224665641785, 0.9354639053344727, 0.8604748845100403]
+c1ccc2sc(-c3coc4cccnc34)cc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['OB(O)c1cc2ccccc2s1', 'c1ccc2sccc2c1']; [0.9995758533477783, 0.9976005554199219]
+CCN1CCN(Cc2ccc(-c3coc4cccnc34)cc2)CC1; ['Brc1coc2cccnc12']; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; [0.9984172582626343]
+Fc1ccc(-c2coc3cccnc23)c(Cl)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc(F)cc1Cl', 'Brc1coc2cccnc12', 'Fc1ccc(Br)c(Cl)c1', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'OB(O)c1ccc(F)cc1Cl', 'c1cnc2ccoc2c1', 'Fc1ccc(Br)c(Cl)c1', 'c1cnc2ccoc2c1', 'Fc1cccc(Cl)c1']; [0.9998474717140198, 0.9996688365936279, 0.9852662086486816, 0.983329176902771, 0.9829615354537964, 0.7799922227859497]
+Brc1cnc(-c2coc3cccnc23)nc1; [None]; [None]; [0]
+Cc1cc(-c2coc3cccnc23)nc(N)n1; [None]; [None]; [0]
+CCc1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; [0.9999737739562988, 0.9927046298980713, 0.8441659808158875]
+O=C1CCc2cc(-c3coc4cccnc34)ccc2N1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999288320541382, 0.9904099106788635, 0.8593671321868896]
+CC(=O)N[C@@H]1CC[C@@H](c2coc3cccnc23)CC1; [None]; [None]; [0]
+COc1ccc(CNc2coc3cccnc23)cc1; ['Brc1coc2cccnc12']; ['COc1ccc(CN)cc1']; [0.9035081267356873]
+Clc1ccc(-c2coc3cccnc23)c(Cl)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'OB(O)c1ccc(Cl)cc1Cl', 'c1cnc2ccoc2c1', 'c1cnc2ccoc2c1', 'Clc1cccc(Cl)c1']; [0.9997550845146179, 0.9992762804031372, 0.9918020963668823, 0.984209418296814, 0.9025726914405823]
+c1cnc2c(-c3ncc4cccn4n3)coc2c1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
+c1cnc2c(-c3cc4ccccn4n3)coc2c1; [None]; [None]; [0]
+Cn1cc(-c2coc3cccnc23)c(C(F)(F)F)n1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; [0.9967334270477295, 0.9919869899749756]
 O=C(C1CC1)N1CC(Nc2coc3cccnc23)C1; [None]; [None]; [0]
+COc1cc(-c2coc3cccnc23)ccc1N1CCOCC1; ['Brc1coc2cccnc12', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'Brc1coc2cccnc12', 'COc1cc(Br)ccc1N1CCOCC1']; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'c1cnc2ccoc2c1', 'COc1cc(Br)ccc1N1CCOCC1', 'c1cnc2ccoc2c1']; [0.9999560713768005, 0.9991556406021118, 0.9853109121322632, 0.9721603393554688]
+Clc1cnc(-c2coc3cccnc23)nc1; [None]; [None]; [0]
+COc1ccc2cccc(-c3coc4cccnc34)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2coc3cccnc23)cc1OC; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; [0.996732234954834, 0.9812436103820801]
+Oc1ccc2cccc(-c3coc4cccnc34)c2c1; ['Brc1coc2cccnc12']; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; [0.9986203908920288]
+COc1cc(-c2coc3cccnc23)ccc1Cl; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'COc1cc(B(O)O)ccc1Cl', 'Brc1coc2cccnc12', 'COc1cc(Br)ccc1Cl']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'c1cnc2ccoc2c1', 'COc1cc(Br)ccc1Cl', 'c1cnc2ccoc2c1']; [0.999993085861206, 0.9997711181640625, 0.9802433252334595, 0.9799233675003052, 0.7741125822067261]
+Cc1csc2c(-c3coc4cccnc34)ncnc12; ['Brc1coc2cccnc12']; ['Cc1csc2cncnc12']; [0.7977961301803589]
+Cc1nc(Nc2coc3cccnc23)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2coc3cccnc23)nn1C; ['Brc1coc2cccnc12']; ['Cc1cc(N)nn1C']; [0.9947855472564697]
+CC1(C)Cc2cc(-c3coc4cccnc34)ccc2O1; [None]; [None]; [0]
+OCCn1cc(-c2coc3cccnc23)cn1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1']; [0.9999905228614807, 0.9996151924133301]
+O=C(Nc1coc2cccnc12)c1ccco1; ['Brc1coc2cccnc12']; ['NC(=O)c1ccco1']; [0.8926270008087158]
+COc1cc(-c2coc3cccnc23)c(OC)cc1Br; ['Brc1coc2cccnc12']; ['COc1cc(B(O)O)c(OC)cc1Br']; [0.8252313733100891]
 Nc1cc(-c2coc3cccnc23)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1coc2cccnc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2coc3cccnc23)nc1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2coc3cccnc23)cc1; ['Brc1coc2cccnc12']; ['NC(=O)c1ccc(CBr)cc1']; [0.9667965173721313]
 O=C(Nc1cn[nH]c1)c1cccc(-c2coc3cccnc23)c1; [None]; [None]; [0]
+COc1ccc2oc(-c3coc4cccnc34)cc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2occc2c1']; [0.9999409914016724, 0.9958959817886353]
+O=S(=O)(CCO)c1ccc(Cc2coc3cccnc23)cc1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2coc3cccnc23)CC1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2coc3cccnc23)cc1; ['Brc1coc2cccnc12']; ['CC(C)(C)c1ccc(C(N)=O)cc1']; [0.9537296295166016]
+COc1cc(CS(C)(=O)=O)ccc1-c1coc2cccnc12; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2coc3cccnc23)CC1; [None]; [None]; [0]
+c1cnc2c(-c3ccc4cn[nH]c4c3)coc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1ccc2cn[nH]c2c1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1', 'Brc1coc2cccnc12']; [0.999998927116394, 0.9999946355819702, 0.9999451637268066, 0.9898278713226318]
+c1ccc2oc(-c3coc4cccnc34)cc2c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1cc2ccccc2o1', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['OB(O)c1cc2ccccc2o1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'Brc1coc2cccnc12', 'F[B-](F)(F)c1cc2ccccc2o1', 'c1ccc2occc2c1']; [0.9998209476470947, 0.9994668960571289, 0.9972096681594849, 0.9892263412475586, 0.8758224248886108]
+CCn1cc(-c2coc3cccnc23)cn1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CCn1cc(B(O)O)cn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cccn1', 'c1cnc2ccoc2c1']; [0.999984622001648, 0.999746561050415, 0.9940335154533386, 0.9922176599502563]
 COc1ccc2c(c1)c(-c1coc3cccnc13)cn2C; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1coc2cccnc12; ['Brc1coc2cccnc12']; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; [0.999549150466919]
+CNC(=O)c1ccc(OC)c(-c2coc3cccnc23)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2coc3cccnc23)cc1; [None]; [None]; [0]
+COc1ccc2nc(-c3coc4cccnc34)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Brc1coc2cccnc12', 'FC(F)(F)Oc1ccc(Br)cc1', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'c1cnc2ccoc2c1', 'FC(F)(F)Oc1ccc(Br)cc1', 'c1cnc2ccoc2c1', 'FC(F)(F)Oc1ccccc1']; [0.9999991655349731, 0.9999819993972778, 0.9995205402374268, 0.9989808797836304, 0.9969722032546997, 0.996179461479187]
+Cn1cc(Br)cc1-c1coc2cccnc12; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2coc3cccnc23)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3coc4cccnc34)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2coc3cccnc23)c1)N1CCCC1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3coc4cccnc34)c2)c1; [None]; [None]; [0]
+c1cnc2c(-c3ncc4sccc4n3)coc2c1; [None]; [None]; [0]
+CCc1cccc(-c2coc3cccnc23)n1; [None]; [None]; [0]
 c1cnc2c(-c3ncn4c3CCCC4)coc2c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3coc4cccnc34)ccc21; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Cn1ncc2cc(B(O)O)ccc21', 'Brc1coc2cccnc12', 'Cn1ncc2cc(Br)ccc21']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'c1cnc2ccoc2c1', 'Cn1ncc2cc(Br)ccc21', 'c1cnc2ccoc2c1']; [0.9999991655349731, 0.999998927116394, 0.9999438524246216, 0.9945447444915771, 0.7607903480529785]
+Cc1cc(-c2coc3cccnc23)cc(C)c1OCCO; [None]; [None]; [0]
+CN(C)c1ccc(-c2coc3cccnc23)cn1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'CN(C)c1ccc(B(O)O)cn1', 'Brc1coc2cccnc12']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc([Mg]Br)cn1', 'c1cnc2ccoc2c1', 'CN(C)c1ccc(Br)cn1']; [0.9999873042106628, 0.9997504949569702, 0.9994773268699646, 0.9856504201889038, 0.9822015762329102, 0.9646850824356079]
+Cc1n[nH]c2cc(-c3coc4cccnc34)ccc12; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; [0.9999995827674866, 0.9999990463256836, 0.9955419301986694]
+CC(C)(O)c1ccc2cc(-c3coc4cccnc34)[nH]c2c1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2coc3cccnc23)c1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1']; [0.9998430609703064, 0.8446247577667236]
+O=C(Nc1coc2cccnc12)c1cccc(OC(F)(F)F)c1; ['Brc1coc2cccnc12']; ['NC(=O)c1cccc(OC(F)(F)F)c1']; [0.999537467956543]
 Cn1nc(Cl)c2cc(-c3coc4cccnc34)ccc21; [None]; [None]; [0]
+OCCc1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'OCCc1ccc(B(O)O)cc1']; [0.9999810457229614, 0.9976816177368164]
 CC(=O)N1CCC(n2cc(-c3coc4cccnc34)cn2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2coc3cccnc23)c(OC)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3coc4cccnc34)cc2)n1C; [None]; [None]; [0]
-O=C(Nc1coc2cccnc12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1coc2cccnc12; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['c1cnc2ccoc2c1']; [0.9523991942405701]
+CN(C)C(=O)c1ccc(-c2coc3cccnc23)c(Cl)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1coc2cccnc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12']; ['CCNC(=O)c1ccc(B(O)O)cc1']; [0.9988082647323608]
+Cc1cc(N2CCOCC2)ccc1-c1coc2cccnc12; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1coc2cccnc12; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1coc2cccnc12; [None]; [None]; [0]
+Cc1cc(Nc2coc3cccnc23)ncc1F; ['Brc1coc2cccnc12']; ['Cc1cc(N)ncc1F']; [0.9942793846130371]
+c1ccc(Nc2coc3cccnc23)nc1; [None]; [None]; [0]
+Fc1ccc(Nc2coc3cccnc23)nc1; ['Brc1coc2cccnc12']; ['Nc1ccc(F)cn1']; [0.9816322326660156]
+CCNC(=O)Cc1ccc(-c2coc3cccnc23)cc1; ['Brc1coc2cccnc12']; ['CCNC(=O)Cc1ccc(Br)cc1']; [0.9479566216468811]
+CN(C)C(=O)c1ccc(-c2coc3cccnc23)nc1; ['Brc1coc2cccnc12', 'Brc1coc2cccnc12']; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; [0.9970594644546509, 0.9005399346351624]
+CS(=O)(=O)c1ccc(Cl)c(-c2coc3cccnc23)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['c1cnc2ccoc2c1']; [0.9055328369140625]
+CNC(=O)c1ccccc1-c1cn(C)c2ccccc12; ['CNC(=O)c1ccccc1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9997880458831787]
 Cn1nc(-c2coc3cccnc23)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2coc3cccnc23)ncc1F; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cn(C)c2ccccc12; ['CC(C)S(=O)(=O)c1ccccc1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999714493751526]
+CCOc1ccccc1-c1cn(C)c2ccccc12; ['CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Cl']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9999843835830688, 0.9988591074943542, 0.9970552921295166, 0.9920352101325989]
+CNC(=O)c1ccc(C)c(-c2coc3cccnc23)c1; [None]; [None]; [0]
+COC(C)(C)CCc1cn(C)c2ccccc12; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1coc2cccnc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cn(C)c3ccccc23)[nH]1; [None]; [None]; [0]
+Cn1cc(Cc2cc(F)cc(F)c2)c2ccccc21; ['Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; ['Fc1cc(F)cc(CCl)c1', 'O=Cc1cc(F)cc(F)c1', 'Fc1cc(F)cc(CBr)c1', 'OCc1cc(F)cc(F)c1']; [0.9993147253990173, 0.9958691596984863, 0.994507908821106, 0.9602624177932739]
+Cn1cc(-c2ccccc2OC(F)(F)F)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; ['FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Cl']; [0.999906599521637, 0.9995701313018799, 0.9984095096588135, 0.9930685758590698, 0.9892120361328125, 0.9291967749595642]
+Cn1cc(-c2ccccc2C(N)=O)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['NC(=O)c1ccccc1Br']; [0.9991544485092163]
+Cn1cc(-c2cccc(C(F)(F)F)c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; ['FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Cl)c1', 'FC(F)(F)c1cccc(I)c1', 'Nc1cccc(C(F)(F)F)c1']; [0.9999980926513672, 0.9999909996986389, 0.9999872446060181, 0.9999819993972778, 0.9997397661209106, 0.9996752738952637, 0.9967231750488281]
+CCn1cc(-c2cn(C)c3ccccc23)cn1; ['CCn1cc(I)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; [0.9999041557312012, 0.99986732006073, 0.9795876741409302]
+Cn1cc(-c2cnn(Cc3ccccc3)c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Brc1cnn(Cc2ccccc2)c1', 'Cn1ccc2ccccc21']; ['Ic1cnn(Cc2ccccc2)c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999638795852661, 0.9999442100524902, 0.9974684715270996]
+Cn1cc(-c2ccnc3ccccc23)c2ccccc21; ['Brc1ccnc2ccccc12', 'Brc1ccnc2ccccc12', 'Br[Mg]c1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Cn1ccc2ccccc21', 'Cn1cc(C(=O)O)c2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Ic1ccnc2ccccc12', 'Ic1ccnc2ccccc12']; [0.9998908042907715, 0.9912375211715698, 0.9728055000305176, 0.9673666954040527, 0.882588267326355, 0.8439500331878662]
+Cn1cc(-c2ccccc2P(C)(C)=O)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2ccccc2C(=O)[O-])c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2csc(C(C)(C)C)n2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cc(Cl)ccc2Cl)c2ccccc21; ['Cn1ccc2ccccc21', 'Clc1ccc(Cl)c(Br)c1', 'Cn1ccc2ccccc21']; ['OB(O)c1cc(Cl)ccc1Cl', 'Cn1ccc2ccccc21', 'NNc1cc(Cl)ccc1Cl']; [0.9984967708587646, 0.9979274868965149, 0.7844575643539429]
+Cn1cc(-c2cnn(CCO)c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['OCCn1cc(I)cn1', 'OCCn1cc(Br)cn1']; [0.9999829530715942, 0.9999551773071289]
+Cn1cc(-c2cccc(NC(=O)c3ccccc3)c2)c2ccccc21; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Cn1ccc2ccccc21', 'O=C(Nc1ccccc1)c1ccccc1']; [0.9999964237213135, 0.9458743929862976]
+CC(C)C(=O)COc1cn(C)c2ccccc12; [None]; [None]; [0]
+Cn1cc(-c2cnc(-c3ccccc3)[nH]2)c2ccccc21; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cn(C)c4ccccc34)cc2c1=O; [None]; [None]; [0]
+Cc1ccc(-c2cn(C)c3ccccc23)c(Br)c1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cn(C)c2ccccc12; ['Cc1nc(N)sc1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999850392341614]
+Cn1cc(-c2cnc3ccccn23)c2ccccc21; ['Brc1cnc2ccccn12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Clc1cnc2ccccn12', 'Cn1ccc2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1cnc2ccccn12', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'c1ccn2ccnc2c1']; [0.9999996423721313, 0.999997615814209, 0.9999397397041321, 0.9989261627197266]
+Cc1nc2ccccn2c1-c1cn(C)c2ccccc12; ['Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'Cc1cn2ccccc2n1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; [0.9999972581863403, 0.9999964237213135, 0.9688306450843811]
+CNc1nc(C)c(-c2cn(C)c3ccccc23)s1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cn(C)c3ccccc23)s1; [None]; [None]; [0]
+Cn1cc(-c2cnc3cccnn23)c2ccccc21; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Cn1ccc2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'c1cnn2ccnc2c1']; [0.9999997615814209, 0.9999977350234985, 0.9999973177909851]
+Cn1cc(-c2c(Cl)cccc2Cl)c2ccccc21; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Cn1ccc2ccccc21', 'Clc1cccc(Cl)c1', 'Clc1cccc(Cl)c1Cl', 'Cn1ccc2ccccc21']; ['Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'OB(O)c1c(Cl)cccc1Cl', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'NNc1c(Cl)cccc1Cl']; [0.9999538064002991, 0.9990528225898743, 0.9976803064346313, 0.9955579042434692, 0.9954872131347656, 0.9320659041404724]
+Cc1ccc(Cl)c(-c2cn(C)c3ccccc23)c1; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Cl)c1']; ['Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9976145029067993, 0.9960981607437134, 0.8435888290405273]
+Cn1cc(-c2ccnc(N)n2)c2ccccc21; [None, 'Cn1ccc2ccccc21']; [None, 'Nc1nccc(Cl)n1']; [0, 0.9813307523727417]
+Cn1cc(NCc2cccnc2)c2ccccc21; ['Cn1ccc2ccccc21', 'Cn1cc([N+](=O)[O-])c2ccccc21']; ['NCc1cccnc1', 'NCc1cccnc1']; [0.998201847076416, 0.8180190324783325]
+Cn1cc(-c2cccc(Br)c2)c2ccccc21; ['Brc1cccc(I)c1', 'Cn1ccc2ccccc21', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Clc1cccc(Br)c1', 'Cn1ccc2ccccc21', 'Brc1cccc(Br)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'OB(O)c1cccc(Br)c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Nc1cccc(Br)c1', 'Cn1ccc2ccccc21']; [0.9999332427978516, 0.9998165369033813, 0.9995831251144409, 0.9967082738876343, 0.987920880317688, 0.9847198724746704, 0.9376517534255981]
+Cn1cc(-n2ncc3cccc(F)c3c2=O)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cnn3ncccc23)c2ccccc21; ['Brc1cnn2ncccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9983231425285339]
+Cn1cc(-c2ccc3ccccc3c2)c2ccccc21; ['Brc1ccc2ccccc2c1', 'Cn1ccc2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Brc1ccc2ccccc2c1', 'Cn1ccc2ccccc21', 'Clc1ccc2ccccc2c1', 'Cn1ccc2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Cn1ccc2ccccc21', 'Ic1ccc2ccccc2c1', 'Cn1ccc2ccccc21', 'Nc1ccc2ccccc2c1']; [0.9999961256980896, 0.9999475479125977, 0.9999380111694336, 0.999815821647644, 0.9984923601150513, 0.9966233968734741, 0.9940962791442871]
+Cn1cc(Nc2cccnc2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-n2cnc3ccccc32)c2ccccc21; [None]; [None]; [0]
+Cn1cc(NC(=O)c2cccs2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cccc(Cn3cncn3)c2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2c[nH]nc2C(F)(F)F)c2ccccc21; [None]; [None]; [0]
+Cn1cc(NCCc2c[nH]cn2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cccc(CC(=O)[O-])c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['O=C([O-])Cc1ccccc1']; [0.9235484600067139]
+Cn1cc(-c2cncc3ccccc23)c2ccccc21; ['Brc1cncc2ccccc12', 'Cn1ccc2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'OB(O)c1cncc2ccccc12']; [0.9999921321868896, 0.9983042478561401]
+Cc1c(-c2cn(C)c3ccccc23)sc(=O)n1C; [None]; [None]; [0]
+Cn1cc(NCCc2ccccc2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cccc(F)c2C(N)=O)c2ccccc21; [None]; [None]; [0]
+Cn1cc(NCc2ccc(Cl)cc2)c2ccccc21; ['Cn1ccc2ccccc21']; ['NCc1ccc(Cl)cc1']; [0.9432231783866882]
+Cn1cc(-c2ccc3c(N)[nH]nc3c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.9999967217445374]
+Cn1cc(-c2ccc(-c3cn(C)c4ccccc34)cc2)cn1; [None]; [None]; [0]
+CN1c2ccc(-c3cn(C)c4ccccc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(cnn3C)c2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cn[nH]c3)cc2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(NCc2ccccc2F)c2ccccc21; ['Cn1ccc2ccccc21']; ['NCc1ccccc1F']; [0.9014332294464111]
+Cn1cc(-c2cccc(O)c2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(Nc2ccncc2)c2ccccc21; ['Cn1ccc2ccccc21']; ['Nc1ccncc1']; [0.9864583611488342]
+Cn1cc(-c2cccc(CO)c2)c2ccccc21; [None]; [None]; [0]
+CCCn1cnc(-c2cn(C)c3ccccc23)n1; [None]; [None]; [0]
+COc1cc(-c2cn(C)c3ccccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Cn1cc(-c2csc3ncncc23)c2ccccc21; ['Brc1csc2ncncc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9997929930686951]
+CC(C)n1cc(-c2cn(C)c3ccccc23)nn1; [None]; [None]; [0]
+Cn1cc(-c2csc(N)n2)c2ccccc21; ['Cn1cc(C(=O)CCl)c2ccccc21', 'CC(=O)c1cn(C)c2ccccc12']; ['NC(N)=S', 'NC(N)=S']; [0.9999861717224121, 0.9999798536300659]
+CSc1nc(-c2cn(C)c3ccccc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
+Cn1cc(-c2cc3ccccc3[nH]2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cncnc2N)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1ncncc1Br', 'Nc1ncncc1I']; [0.9999923706054688, 0.9999851584434509]
+Cn1cc(CCc2c[nH]nn2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(CCCC(N)=O)c2ccccc21; [None, None]; [None, None]; [0, 0]
+CCNc1nc2ccc(-c3cn(C)c4ccccc34)cc2s1; [None]; [None]; [0]
+Cn1cc(-c2cccc(CCC#N)c2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(F)cc2C(F)(F)F)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1cccc(C(F)(F)F)c1']; [0.9999906420707703, 0.9999263286590576, 0.9998060464859009, 0.9979104399681091, 0.9974639415740967, 0.8436795473098755]
+Cn1cc(-c2cn(C)c3ccccc23)c2ccccc21; ['Cn1ccc2ccccc21']; ['Cn1ccc2ccccc21']; [0.8377841114997864]
+CCC(=O)Nc1ccc(-c2cn(C)c3ccccc23)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cn(C)c3ccccc23)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9999949336051941, 0.9999598264694214, 0.9999455213546753, 0.999836802482605]
+Cn1cc(N2CCC(S(C)(=O)=O)CC2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(Oc2ccccn2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(NC(=O)c2c(Cl)cccc2Cl)c2ccccc21; [None]; [None]; [0]
+Cn1cc(CCNC(=O)CC(C)(C)O)c2ccccc21; ['CC(C)(O)CC(=O)O', 'CCOC(=O)CC(C)(C)O', 'COC(=O)CC(C)(C)O', 'CC(C)(O)CC(=O)[O-]', 'CC(C)(O)CC#N']; ['Cn1cc(CCN)c2ccccc21', 'Cn1cc(CCN)c2ccccc21', 'Cn1cc(CCN)c2ccccc21', 'Cn1cc(CCN)c2ccccc21', 'Cn1cc(CCN)c2ccccc21']; [0.9960580468177795, 0.9938538074493408, 0.9933376312255859, 0.9884482622146606, 0.9811321496963501]
+COc1ccc(-c2cn(C)c3ccccc23)cc1Cl; ['COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(NN)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccccc1Cl']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9999896287918091, 0.9999456405639648, 0.9999368786811829, 0.9996191263198853, 0.9994366765022278, 0.9961775541305542, 0.9785366058349609, 0.9514708518981934, 0.8281599283218384]
+CCCn1cc(-c2cn(C)c3ccccc23)cn1; ['CCCn1cc(Br)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(B(O)O)cn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; [0.999974250793457, 0.9999501705169678, 0.9938240051269531]
+Cn1cc(-c2cnn3ccccc23)c2ccccc21; ['Brc1cnn2ccccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9998787641525269]
+Cn1cc(OCC(C)(C)S(C)(=O)=O)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cc[nH]c(=O)c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['O=c1cc(Br)cc[nH]1']; [0.9999687075614929]
+CCNS(=O)(=O)c1ccccc1-c1cn(C)c2ccccc12; ['CCNS(=O)(=O)c1ccccc1Br']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9997478723526001]
+Cn1cc(-c2ccc([S@](C)=O)cc2)c2ccccc21; ['CS(=O)c1ccc(Br)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.99986332654953]
+Cn1cc(-c2ccc(C(C)(C)N)cc2)c2ccccc21; ['CC(C)(N)c1ccc(Br)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999148845672607]
+COc1cc(CCc2cn(C)c3ccccc23)cc(OC)c1; ['COc1cc(CCO)cc(OC)c1', 'COc1cc(CCBr)cc(OC)c1', 'COc1cc(CBr)cc(OC)c1', 'COc1cc(CCl)cc(OC)c1']; ['Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cc1cn(C)c2ccccc12', 'Cc1cn(C)c2ccccc12']; [0.998423159122467, 0.9980926513671875, 0.877631664276123, 0.8621187210083008]
+Cn1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cccc3c2C(=O)CC3)c2ccccc21; [None]; [None]; [0]
+CCN(CC)c1cn(C)c2ccccc12; [None]; [None]; [0]
+C[C@@H](Oc1cn(C)c2ccccc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+COc1ccncc1Nc1cn(C)c2ccccc12; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(C)(C)C)cc2)c2ccccc21; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(N)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9999911785125732, 0.9992892742156982, 0.9961656332015991, 0.993691086769104, 0.9597870707511902, 0.8555955290794373]
+Cn1cc(Nc2cnc3ccccc3c2)c2ccccc21; ['Cn1ccc2ccccc21']; ['Nc1cnc2ccccc2c1']; [0.998167872428894]
+Cn1cc(-c2cc3c(=O)[nH]ccc3o2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['O=c1[nH]ccc2oc(Br)cc12']; [0.9998847246170044]
+CC(C)Oc1cncc(-c2cn(C)c3ccccc23)c1; ['CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9999961256980896, 0.9981814622879028, 0.997770369052887]
+Cn1cc(-c2c[nH]c3cnccc23)c2ccccc21; ['Brc1c[nH]c2cnccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999488592147827]
+Cn1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cnc3[nH]ccc3c2)c2ccccc21; ['Brc1cnc2[nH]ccc2c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Clc1cnc2[nH]ccc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1cnc2[nH]ccc2c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999977350234985, 0.9999582767486572, 0.9999569058418274]
+COc1cccc(F)c1-c1cn(C)c2ccccc12; [None]; [None]; [0]
+Cn1cc(Nc2cnccc2-c2ccccc2)c2ccccc21; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cn(C)c3ccccc23)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9997231960296631, 0.994975209236145]
+Cn1cc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(S(C)(=O)=O)cc2)c2ccccc21; ['CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(N)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(C(=O)O)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.999963641166687, 0.999929666519165, 0.9982411861419678, 0.9973850250244141, 0.9957813024520874, 0.9790576696395874, 0.9564000368118286, 0.7677653431892395]
+Cn1cc(-c2ccc(N3CCOCC3)cc2)c2ccccc21; ['Brc1ccc(N2CCOCC2)cc1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1']; [0.9999785423278809, 0.9998973608016968, 0.9724115133285522]
+Cc1cc(-c2cn(C)c3ccccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CN(c1cn(C)c2ccccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Cn1cc(C2(C)CCN(S(C)(=O)=O)CC2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-n2ccc(CO)n2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-n2ncc3c(O)cccc32)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-n2ncc3ccccc32)c2ccccc21; [None]; [None]; [0]
+C[C@H](Nc1cn(C)c2ccccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cn1cc(-n2cnc(CCO)c2)c2ccccc21; [None]; [None]; [0]
+C[C@@H](Nc1cn(C)c2ccccc12)C(C)(C)O; [None]; [None]; [0]
+Cn1cc(-c2c(F)cccc2Cl)c2ccccc21; [None]; [None]; [0]
+C[C@H](Nc1cn(C)c2ccccc12)C(C)(C)O; [None]; [None]; [0]
+COc1ccc(-c2cn(C)c3ccccc23)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1cccc(OC)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9999673366546631, 0.9997538328170776, 0.9995378255844116, 0.9991205930709839, 0.9986228942871094, 0.9463894367218018]
+Cn1cc(-c2ccc(-n3cncn3)cc2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2nc3ccc(O)cc3[nH]2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(=O)c3ccccc3)cc2)c2ccccc21; [None]; [None]; [0]
+CSc1nc(C)c(-c2cn(C)c3ccccc23)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cn(C)c3ccccc23)CC1; [None]; [None]; [0]
+Cn1cc(CCC(=O)NCc2ccccn2)c2ccccc21; ['Cn1cc(CCC(=O)O)c2ccccc21', None, 'COC(=O)CCc1cn(C)c2ccccc12']; ['NCc1ccccn1', None, 'NCc1ccccn1']; [0.9999831914901733, 0, 0.9967483282089233]
+CC(C)n1cnnc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
+Cn1cc(-c2nncn2C2CC2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(Cc2nnc3ccc(-c4ccccc4)nn23)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2ccn(CC[NH3+])n2)c2ccccc21; [None]; [None]; [0]
+CCc1cc(-c2cn(C)c3ccccc23)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999697804450989]
+Cn1cc(CS(=O)(=O)NCc2ccccn2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cccc(C(C)(C)O)n2)c2ccccc21; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9998515844345093, 0.9935348033905029]
+Cn1cc(-c2cn(Cc3ccccc3)nn2)c2ccccc21; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cn(C)c3ccccc23)s1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cn(C)c3ccccc23)CC1; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)c2ccccc21; ['CC1(C)Oc2ccc(Br)nc2NC1=O']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9929919242858887]
+Cn1cc(-c2cncc(N)n2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1cncc(Br)n1']; [0.9999592304229736]
+CCCCc1cc(-c2cn(C)c3ccccc23)nc(N)n1; [None]; [None]; [0]
+Cn1cc(-c2cccc3ccsc23)c2ccccc21; ['Brc1cccc2ccsc12', 'Cn1ccc2ccccc21', 'Brc1cccc2ccsc12', 'Clc1cccc2ccsc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'OB(O)c1cccc2ccsc12', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9999135732650757, 0.9995238780975342, 0.9899706840515137, 0.9750034809112549]
+Cn1cc(Oc2ccc(C[NH3+])cc2F)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2cccc3nnsc23)c2ccccc21; ['Brc1cccc2nnsc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999667406082153]
+Cn1cc(-c2ncc3ccccc3n2)c2ccccc21; ['Brc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999929666519165, 0.9999598860740662]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cn(C)c4ccccc34)c2)cc1; [None]; [None]; [0]
+Cn1cc(-c2ncc3cc[nH]c3n2)c2ccccc21; ['Clc1ncc2cc[nH]c2n1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.999957799911499]
+CC(=O)Nc1ncc(-c2cn(C)c3ccccc23)[nH]1; [None]; [None]; [0]
+Cn1cc(-c2nc(N)c3ccccc3n2)c2ccccc21; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cn(C)c2ccccc12; ['COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1I']; ['Cn1ccc2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9997680187225342, 0.999682605266571, 0.9992449283599854, 0.998755693435669, 0.9976586103439331, 0.99749755859375]
+Cn1cc(-c2cn(CCO)cn2)c2ccccc21; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cn(C)c3ccccc23)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(N)c1']; ['Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9994500875473022, 0.9990977048873901, 0.9982746839523315, 0.9981930255889893, 0.9872907400131226]
+Cn1cc(-c2c[nH]c3cccnc23)c2ccccc21; [None]; [None]; [0]
+COc1ncccc1-c1cn(C)c2ccccc12; ['COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1B(O)O']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9996933937072754, 0.9993886351585388, 0.991918683052063, 0.9896841049194336, 0.9865674376487732]
+COc1ccc(Oc2cn(C)c3ccccc23)c(F)c1F; [None]; [None]; [0]
+Cn1cc([C@H]2CC[C@@](C)(O)CC2)c2ccccc21; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cnc2cccnn12; ['CNC(=O)c1ccccc1B(O)O']; ['Clc1cnc2cccnn12']; [0.9995954036712646]
+CCOc1ccccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'Brc1cnc2cccnn12', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1Cl']; ['CCOc1ccccc1B(O)O', 'c1cnn2ccnc2c1', 'Clc1cnc2cccnn12', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999995231628418, 0.9999940395355225, 0.9999843239784241, 0.9999606609344482, 0.9999469518661499, 0.9999316334724426]
+CN(C)S(=O)(=O)c1cccc(-c2cn(C)c3ccccc23)c1; [None]; [None]; [0]
+Cn1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)c2ccccc21; [None]; [None]; [0]
+Cn1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)c2ccccc21; [None]; [None]; [0]
+CN(C)c1cc(-c2cn(C)c3ccccc23)cnn1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2cnc3cccnn23)c1; ['Clc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1']; [0.999727725982666, 0.9996396899223328]
+Cn1cc(-c2cccc(NC(=O)C3CCNCC3)c2)c2ccccc21; [None]; [None]; [0]
+c1ccc2c(-c3cnc4cccnn34)ccnc2c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Clc1cnc2cccnn12', 'Clc1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Brc1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'Ic1ccnc2ccccc12']; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'OB(O)c1ccnc2ccccc12', 'Clc1cnc2cccnn12', 'OB(O)c1ccnc2ccccc12', 'c1cnn2ccnc2c1', 'O=C(O)c1cnc2cccnn12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [0.9999428391456604, 0.9998437166213989, 0.9997438788414001, 0.9988247752189636, 0.9979499578475952, 0.9946211576461792, 0.9852045774459839, 0.9760816097259521, 0.9754400253295898]
+FC(F)(F)c1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'FC(F)(F)c1cccc(Br)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'c1cnn2ccnc2c1']; [0.9999995231628418, 0.9999936819076538]
+Cc1nnc(-c2ccccc2-c2cnc3cccnn23)[nH]1; [None]; [None]; [0]
+CCn1cc(-c2cnc3cccnn23)cn1; ['Brc1cnc2cccnn12', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1cnc2cccnn12', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Br)cn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Clc1cnc2cccnn12', 'CCn1cc(B(O)O)cn1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 0.9999995231628418, 0.9999815225601196, 0.9999356269836426, 0.9994868636131287]
+FC(F)(F)Oc1ccccc1-c1cnc2cccnn12; ['FC(F)(F)Oc1ccccc1Br', 'Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['c1cnn2ccnc2c1', 'OB(O)c1ccccc1OC(F)(F)F', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F']; [1.0, 1.0, 1.0, 0.9999994039535522]
+CP(C)(=O)c1ccccc1-c1cnc2cccnn12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cnc2cccnn12; [None]; [None]; [0]
+COC(C)(C)CCc1cnc2cccnn12; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999985694885254, 0.9999706149101257, 0.9999061226844788, 0.9983811378479004]
+NC(=O)c1ccccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O']; [0.9999982118606567, 0.9999592304229736, 0.999912440776825]
+c1ccc(Cn2cc(-c3cnc4cccnn34)cn2)cc1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Brc1cnn(Cc2ccccc2)c1']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'c1cnn2ccnc2c1']; [1.0, 0.9999993443489075, 0.9999969005584717, 0.9999749660491943, 0.9999747276306152]
+Cn1cnc2ccc(-c3cnc4cccnn34)cc2c1=O; ['Brc1cnc2cccnn12', 'Cn1cnc2ccc(Br)cc2c1=O']; ['Cn1cnc2ccc(Br)cc2c1=O', 'c1cnn2ccnc2c1']; [0.999834418296814, 0.9994785785675049]
+O=C(Nc1cccc(-c2cnc3cccnn23)c1)c1ccccc1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Clc1cnc2cccnn12']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Clc1cnc2cccnn12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999995231628418, 0.999997615814209, 0.9999940395355225]
+Clc1ccc(Cl)c(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999998807907104, 0.9999990463256836, 0.9999876618385315, 0.9999858140945435, 0.99980628490448]
+Cc1ccc(-c2cnc3cccnn23)c(Br)c1; ['Brc1cnc2cccnn12', 'Cc1ccc(Br)c(Br)c1']; ['Cc1ccc(B(O)O)c(Br)c1', 'c1cnn2ccnc2c1']; [0.9996811151504517, 0.9971297979354858]
+OCCn1cc(-c2cnc3cccnn23)cn1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1']; [1.0, 0.9999985694885254, 0.9999791383743286, 0.9998599290847778]
+CC(C)C(=O)COc1cnc2cccnn12; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cnc2cccnn12; [None]; [None]; [0]
+Cc1nc(C)c(-c2cnc3cccnn23)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cnc3cccnn23)s1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cnc3cccnn23)cs1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Clc1cccc(Cl)c1Br', 'Clc1cnc2cccnn12', 'Clc1cccc(Cl)c1I']; ['OB(O)c1c(Cl)cccc1Cl', 'c1cnn2ccnc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'c1cnn2ccnc2c1']; [0.9999674558639526, 0.9998379945755005, 0.9994235038757324, 0.9991133213043213]
+O=c1c2c(F)cccc2cnn1-c1cnc2cccnn12; [None]; [None]; [0]
+Brc1cccc(-c2cnc3cccnn23)c1; ['Brc1cccc(Br)c1']; ['c1cnn2ccnc2c1']; [0.9998900890350342]
+c1ccc(-c2ncc(-c3cnc4cccnn34)[nH]2)cc1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'Clc1cnc2cccnn12']; [0.9999994039535522, 0.9999927282333374, 0.9999216794967651, 0.9999051690101624, 0.9998407959938049]
+c1ccn2c(-c3cnc4cccnn34)cnc2c1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cnc2cccnn12; [None]; [None]; [0]
+c1ccc2cc(-c3cnc4cccnn34)ccc2c1; ['Brc1ccc2ccccc2c1']; ['c1cnn2ccnc2c1']; [0.9999102354049683]
+c1cc(Cn2cncn2)cc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+c1cncc(Nc2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Nc1cnc2cccnn12', 'Ic1cccnc1']; ['Nc1cccnc1', 'Nc1cccnc1', 'OB(O)c1cccnc1', 'Nc1cnc2cccnn12']; [0.9999569654464722, 0.9999566078186035, 0.9999542236328125, 0.9998370409011841]
+c1cnn2ncc(-c3cnc4cccnn34)c2c1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.999996542930603, 0.9999921321868896]
+O=C(Nc1cnc2cccnn12)c1cccs1; ['Nc1cnc2cccnn12', 'Nc1cnc2cccnn12']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9999988079071045, 0.9999774694442749]
+c1cnn2c(NCCc3c[nH]cn3)cnc2c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.999972403049469, 0.9999540448188782]
+FC(F)(F)c1n[nH]cc1-c1cnc2cccnn12; ['FC(F)(F)c1n[nH]cc1Br']; ['c1cnn2ccnc2c1']; [0.9999992251396179]
+c1ccc2c(c1)ncn2-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9999687075614929, 0.9999182224273682]
+c1cnn2c(-c3cnc4cccnn34)cnc2c1; [None]; [None]; [0]
+Nc1nccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cnc2cccnn12; [None]; [None]; [0]
+c1ccc2c(-c3cnc4cccnn34)cncc2c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cnc2cccnn12', 'Brc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12', 'Clc1cnc2cccnn12', 'Clc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Clc1cncc2ccccc12']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cncc2ccccc12', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'OB(O)c1cncc2ccccc12', 'c1cnn2ccnc2c1', 'O=C(O)c1cnc2cccnn12', 'O=C(O)c1cnc2cccnn12']; [0.9999998807907104, 0.9999997615814209, 0.9999991655349731, 0.9999860525131226, 0.9999844431877136, 0.9999675154685974, 0.9999489784240723, 0.9997053146362305, 0.9981335401535034, 0.8742734789848328]
+c1ccc(CCNc2cnc3cccnn23)cc1; ['Clc1cnc2cccnn12', 'Nc1cnc2cccnn12']; ['NCCc1ccccc1', 'O=CCc1ccccc1']; [0.9998688697814941, 0.999722957611084]
+c1cncc(CNc2cnc3cccnn23)c1; [None]; [None]; [0]
+Cc1c(-c2cnc3cccnn23)sc(=O)n1C; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cnc4cccnn34)cc2)cn1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9969675540924072]
+c1cnn2c(-c3ccc(-c4cn[nH]c4)cc3)cnc2c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999997615814209, 0.9999960064888]
+Cn1ncc2cc(-c3cnc4cccnn34)ccc21; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Cn1ncc2cc(Br)ccc21']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9999998211860657, 0.9999996423721313, 0.9999802112579346]
+Clc1ccc(CNc2cnc3cccnn23)cc1; ['Clc1ccc(CBr)cc1', 'Clc1cnc2cccnn12']; ['Nc1cnc2cccnn12', 'NCc1ccc(Cl)cc1']; [0.9989718198776245, 0.9989122152328491]
+Oc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [0.9999989867210388, 0.9999933242797852, 0.9999921321868896, 0.9999443292617798, 0.998945951461792, 0.9970657825469971]
+c1cnn2c(Nc3ccncc3)cnc2c1; ['Nc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1ccncc1', 'Ic1ccncc1', 'Brc1ccncc1']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1cnc2cccnn12', 'Nc1cnc2cccnn12', 'Nc1cnc2cccnn12']; [0.9999939203262329, 0.99997878074646, 0.9999635815620422, 0.9999237060546875, 0.999914288520813, 0.9995840787887573]
+Nc1[nH]nc2cc(-c3cnc4cccnn34)ccc12; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+CN1c2ccc(-c3cnc4cccnn34)cc2CS1(=O)=O; [None]; [None]; [0]
+Fc1ccccc1CNc1cnc2cccnn12; ['Clc1cnc2cccnn12', 'Fc1ccccc1CBr', 'Nc1cnc2cccnn12']; ['NCc1ccccc1F', 'Nc1cnc2cccnn12', 'O=Cc1ccccc1F']; [0.9999773502349854, 0.9999111890792847, 0.9994848966598511]
+OCc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Brc1cnc2cccnn12']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1']; [0.9999996423721313, 0.9999978542327881, 0.9999899864196777, 0.9999650716781616, 0.9974043965339661]
+CCCn1cnc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+c1cnn2c(-c3csc4ncncc34)cnc2c1; ['Brc1csc2ncncc12']; ['c1cnn2ccnc2c1']; [0.999910831451416]
+COc1cc(-c2cnc3cccnn23)ccc1C(=O)[O-]; [None]; [None]; [0]
+N#CCCc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'N#CCCc1cccc(Br)c1', 'Brc1cnc2cccnn12']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'c1cnn2ccnc2c1', 'N#CCCc1cccc(Br)c1']; [0.9999997019767761, 0.9999976754188538, 0.9999140501022339, 0.9997549653053284, 0.9996626377105713]
+Nc1nc(-c2cnc3cccnn23)cs1; [None]; [None]; [0]
+CC(C)n1cc(-c2cnc3cccnn23)nn1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cnc4cccnn34)cc2c1; [None]; [None]; [0]
+c1cnn2c(CCc3c[nH]nn3)cnc2c1; [None]; [None]; [0]
+CSc1nc(-c2cnc3cccnn23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cnc2cccnn12; [None]; [None]; [0]
+Nc1ncncc1-c1cnc2cccnn12; ['Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1Cl']; ['c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [0.9999277591705322, 0.9994932413101196, 0.9844090938568115]
+c1ccc(Oc2cnc3cccnn23)nc1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['Oc1ccccn1', 'Oc1ccccn1']; [0.9989430904388428, 0.9984228610992432]
+CCC(=O)Nc1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
+O=C(Nc1cnc2cccnn12)c1c(Cl)cccc1Cl; ['Nc1cnc2cccnn12', 'Nc1cnc2cccnn12', 'COC(=O)c1c(Cl)cccc1Cl', 'CCOC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'Nc1cnc2cccnn12', 'Nc1cnc2cccnn12']; [0.999997615814209, 0.9999886155128479, 0.9998220205307007, 0.9991871118545532]
+Fc1ccc(-c2cnc3cccnn23)c(C(F)(F)F)c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [0.9999972581863403, 0.9999479055404663, 0.9998641014099121, 0.9995090365409851, 0.9984618425369263, 0.995960533618927, 0.9944828748703003, 0.9900048971176147]
+CCNc1nc2ccc(-c3cnc4cccnn34)cc2s1; [None]; [None]; [0]
+COc1ccc(-c2cnc3cccnn23)cc1Cl; ['Brc1cnc2cccnn12', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['COc1ccc(B(O)O)cc1Cl', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999982118606567, 0.9999873638153076, 0.9999661445617676]
+CS(=O)(=O)C1CCN(c2cnc3cccnn23)CC1; ['Brc1cnc2cccnn12', 'CS(=O)(=O)C1CCNCC1']; ['CS(=O)(=O)C1CCNCC1', 'Clc1cnc2cccnn12']; [0.9999202489852905, 0.9992671012878418]
+CC(=O)Nc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12']; [0.9999996423721313, 0.9999991655349731, 0.9999967813491821, 0.999984860420227]
+c1ccn2ncc(-c3cnc4cccnn34)c2c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12', 'Clc1cnn2ccccc12']; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9999991655349731, 0.9999977350234985, 0.9999882578849792, 0.9996495246887207, 0.9965066909790039]
+CC(C)(COc1cnc2cccnn12)S(C)(=O)=O; [None]; [None]; [0]
+CCCn1cc(-c2cnc3cccnn23)cn1; ['Brc1cnc2cccnn12', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1cnc2cccnn12', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Clc1cnc2cccnn12', 'CCCn1cc(B(O)O)cn1', 'c1cnn2ccnc2c1', 'Clc1cnc2cccnn12']; [1.0, 0.9999994039535522, 0.9999934434890747, 0.9999489784240723, 0.9999200105667114]
+NC(=O)CCCc1cnc2cccnn12; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
+C[C@@H](Oc1cnc2cccnn12)c1c(Cl)cncc1Cl; ['Brc1cnc2cccnn12', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'Clc1cnc2cccnn12']; [0.9994858503341675, 0.9983443021774292]
+O=c1cc(-c2cnc3cccnn23)cc[nH]1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12']; ['CCNS(=O)(=O)c1ccccc1Br']; [0.9998929500579834]
+CC(C)(O)CC(=O)NCCc1cnc2cccnn12; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cnc4cccnn34)c21; ['Clc1cnc2cccnn12', 'O=C1CCc2cccc(Br)c21', 'Brc1cnc2cccnn12']; ['O=C1CCc2cccc(Br)c21', 'c1cnn2ccnc2c1', 'O=C1CCc2cccc(Br)c21']; [0.9998282194137573, 0.9988327622413635, 0.9986456632614136]
+CCN(CC)c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'CCNCC']; ['CCNCC', 'Clc1cnc2cccnn12']; [0.9999362230300903, 0.9998915195465088]
+COc1ccncc1Nc1cnc2cccnn12; ['COc1ccncc1N', 'Brc1cnc2cccnn12']; ['Clc1cnc2cccnn12', 'COc1ccncc1N']; [0.9999852180480957, 0.9999454617500305]
+c1ccc(-c2ccncc2Nc2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.999999463558197, 0.9999927282333374]
+CC(C)(C)c1ccc(-c2cnc3cccnn23)cc1; ['CC(C)(C)c1ccc(Br)cc1']; ['c1cnn2ccnc2c1']; [0.9999927282333374]
+CC(C)Oc1cncc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(Br)c1']; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 1.0, 1.0, 0.9999992251396179, 0.9999918937683105, 0.9998197555541992]
+C[S@](=O)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cccnn12', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cccnn12', 'CS(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 0.999998927116394, 0.9999983310699463, 0.9999628067016602, 0.9996305108070374]
+c1ccc2ncc(Nc3cnc4cccnn34)cc2c1; ['Clc1cnc2cccnn12', 'Ic1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2cccnn12']; [0.999984085559845, 0.9998411536216736]
+COc1cc(CCc2cnc3cccnn23)cc(OC)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2cccnn12', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cccnn12', 'COc1cccc(F)c1B(O)O', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9999994039535522, 0.9999970197677612, 0.9999948143959045, 0.999992847442627]
+[NH3+]Cc1ccc(-c2cnc3cccnn23)cc1C(F)(F)F; [None]; [None]; [0]
+c1cnn2c(-c3cnc4[nH]ccc4c3)cnc2c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 0.9999998807907104, 0.9999988079071045, 0.9999946355819702]
+CNC(=O)c1c(F)cccc1-c1cnc2cccnn12; [None]; [None]; [0]
+O=c1[nH]cc(Br)c2sc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cccnn12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cccnn12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9999998807907104, 0.9999992251396179, 0.9999659657478333, 0.9995357990264893]
+O=c1[nH]ccc2oc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
+c1cnn2c(-c3c[nH]c4cnccc34)cnc2c1; ['Brc1cnc2cccnn12', 'Brc1c[nH]c2cnccc12', 'Clc1cnc2cccnn12']; ['OB(O)c1c[nH]c2cnccc12', 'c1cnn2ccnc2c1', 'OB(O)c1c[nH]c2cnccc12']; [0.9988516569137573, 0.9987823963165283, 0.9970763325691223]
+c1cnn2c(-c3ccc(N4CCOCC4)cc3)cnc2c1; ['Clc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 1.0, 1.0, 1.0, 0.9999971389770508]
+CNS(=O)(=O)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cccnn12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2cccnn12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2cccnn12']; [1.0, 0.9999996423721313, 0.9999973773956299, 0.9999912977218628]
+OCc1ccn(-c2cnc3cccnn23)n1; ['Brc1cnc2cccnn12']; ['OCc1cc[nH]n1']; [0.999238908290863]
+CS(=O)(=O)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Brc1cnc2cccnn12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Clc1cnc2cccnn12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9999990463256836, 0.9999978542327881, 0.9999884963035583]
+C[C@H](Nc1cnc2cccnn12)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'Brc1cnc2cccnn12']; ['Clc1cnc2cccnn12', 'C[C@H](N)C(C)(C)O']; [0.9859353303909302, 0.9840801954269409]
+CC1(c2cnc3cccnn23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@@H](Nc1cnc2cccnn12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Clc1cnc2cccnn12']; [0.9859352707862854]
+CN(c1cnc2cccnn12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Cc1cc(-c2cnc3cccnn23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+C[C@H](Nc1cnc2cccnn12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9883841872215271, 0.9802427887916565]
+Fc1cccc(Cl)c1-c1cnc2cccnn12; ['Fc1cccc(Cl)c1Br', 'Brc1cnc2cccnn12', 'Fc1cccc(Cl)c1I', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Brc1cnc2cccnn12', 'OB(O)c1c(F)cccc1Cl', 'Clc1cnc2cccnn12']; ['c1cnn2ccnc2c1', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'c1cnn2ccnc2c1', 'Clc1cnc2cccnn12', 'OB(O)c1c(F)cccc1Cl', 'c1cnn2ccnc2c1', 'OB(O)c1c(F)cccc1Cl']; [1.0, 1.0, 1.0, 1.0, 0.9999996423721313, 0.9999983310699463, 0.9999903440475464]
+O=C(c1ccccc1)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'O=C(c1ccccc1)c1ccc(Br)cc1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'c1cnn2ccnc2c1']; [0.9999996423721313, 0.9999933242797852, 0.9994672536849976]
+c1cnn2c(-c3ccc(-n4cncn4)cc3)cnc2c1; [None]; [None]; [0]
+OCCc1cn(-c2cnc3cccnn23)cn1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cnc4cccnn34)[nH]c2c1; ['Nc1ccc(O)cc1N']; ['O=Cc1cnc2cccnn12']; [0.9999362230300903]
+COc1ccc(-c2cnc3cccnn23)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['c1cnn2ccnc2c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12']; [0.9999997615814209, 0.9999992847442627, 0.9999924898147583, 0.999991238117218, 0.9999539852142334]
+Oc1cccc2c1cnn2-c1cnc2cccnn12; ['Clc1cnc2cccnn12']; ['Oc1cccc2[nH]ncc12']; [0.9058243036270142]
+c1cnn2c(-c3nncn3C3CC3)cnc2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cnc3cccnn23)[nH]1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cnc2cccnn12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cnc4cccnn34)nn2)cc1; [None]; [None]; [0]
+c1ccc(-c2ccc3nnc(Cc4cnc5cccnn45)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1cnc2cccnn12)NCc1ccccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc3cccnn23)s1; [None]; [None]; [0]
+O=S(=O)(Cc1cnc2cccnn12)NCc1ccccn1; [None]; [None]; [0]
+CCc1cc(-c2cnc3cccnn23)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cnc3cccnn23)n1; ['Brc1cnc2cccnn12']; ['CC(C)(O)c1cccc(Br)n1']; [0.9966917037963867]
+CCCCc1cc(-c2cnc3cccnn23)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cnc3cccnn23)s1; [None]; [None]; [0]
+c1cc(-c2cnc3cccnn23)c2sccc2c1; ['Brc1cnc2cccnn12', 'Brc1cccc2ccsc12']; ['OB(O)c1cccc2ccsc12', 'c1cnn2ccnc2c1']; [0.999996542930603, 0.9998234510421753]
+Cn1cc(C(N)=O)cc1-c1cnc2cccnn12; [None]; [None]; [0]
+c1cc(-c2cnc3cccnn23)c2snnc2c1; ['Brc1cccc2nnsc12']; ['c1cnn2ccnc2c1']; [0.9999994039535522]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc4cccnn34)c2)cc1; [None]; [None]; [0]
+[NH3+]Cc1ccc(Oc2cnc3cccnn23)c(F)c1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cnc4cccnn34)nc2NC1=O; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cnc3cccnn23)CC1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cnc3cccnn23)[nH]1; [None]; [None]; [0]
+Nc1cncc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+c1cnc2c(-c3cnc4cccnn34)c[nH]c2c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'c1cnc2cc[nH]c2c1']; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [0.9999421834945679, 0.9998951554298401, 0.9997962713241577, 0.9932888746261597]
+COc1ccc(Oc2cnc3cccnn23)c(F)c1F; ['Brc1cnc2cccnn12', 'COc1ccc(O)c(F)c1F']; ['COc1ccc(O)c(F)c1F', 'Clc1cnc2cccnn12']; [0.9999678134918213, 0.9999611973762512]
+COc1ccc(OC)c(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1']; ['COc1ccc(OC)c(B(O)O)c1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999972581863403, 0.9999834299087524, 0.9999631643295288]
+Nc1nc(-c2cnc3cccnn23)nc2ccccc12; [None]; [None]; [0]
+c1ccc2nc(-c3cnc4cccnn34)ncc2c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br']; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999991655349731, 0.9999974966049194, 0.9999973773956299, 0.9999934434890747, 0.9999927282333374, 0.9999479055404663]
+COc1ncccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'COc1ncccc1B(O)O', 'COc1ncccc1Cl', 'COc1ncccc1Br', 'COc1ncccc1I']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [0.9999984502792358, 0.9999945759773254, 0.9999697208404541, 0.9977736473083496, 0.9974057674407959, 0.997288703918457]
+c1ccc2[nH]c(C3CCN(c4cnc5cccnn45)CC3)nc2c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9999532699584961, 0.9994039535522461]
+CN(C)c1cc(-c2cnc3cccnn23)cnn1; [None]; [None]; [0]
+c1cnn2c(-c3ncc4cc[nH]c4n3)cnc2c1; [None]; [None]; [0]
+OCCn1cnc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+c1cc(-c2cnc3cccnn23)c2cccnc2c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cccc2ncccc12', 'Clc1cnc2cccnn12', 'Ic1cccc2ncccc12', 'Brc1cccc2ncccc12', 'Brc1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'Clc1cccc2ncccc12']; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cccc2ncccc12', 'c1cnn2ccnc2c1', 'OB(O)c1cccc2ncccc12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'O=C(O)c1cnc2cccnn12', 'c1cnn2ccnc2c1', 'O=C(O)c1cnc2cccnn12']; [0.9999987483024597, 0.9999949932098389, 0.9999898672103882, 0.9998841881752014, 0.9998632669448853, 0.9997646808624268, 0.9995524287223816, 0.9994603395462036, 0.9994471073150635, 0.9980987310409546]
+O=C(Nc1cccc(-c2cnc3cccnn23)c1)C1CCNCC1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'Brc1cnc2cccnn12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'Brc1cnc2cccnn12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1ccccc1']; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'c1cnn2ccnc2c1', 'Clc1cnc2cccnn12', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 0.9999992847442627, 0.9999966621398926, 0.9999955892562866, 0.9999895095825195, 0.9999790191650391, 0.9999749064445496, 0.999967098236084, 0.9670373201370239]
+C1=C(c2c[nH]c3ccccc23)CCN(c2cnc3cccnn23)C1; ['Brc1cnc2cccnn12', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'Clc1cnc2cccnn12']; [0.9999769926071167, 0.9999596476554871]
+Clc1ccc2c(c1-c1cnc3cccnn13)OCO2; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2']; [0.9999918937683105, 0.9999343752861023]
+Fc1ccc(Oc2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.999992847442627, 0.999974250793457]
+NC(=O)c1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'NC(=O)c1ccc(Br)cc1']; ['NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'c1cnn2ccnc2c1']; [0.9999995231628418, 0.9999945163726807, 0.999020516872406]
+NC(=O)c1ccc(-c2cnc3cccnn23)c(F)c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['Clc1cnc2cccnn12', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1']; [0.9999979138374329, 0.999980092048645, 0.9999206066131592]
+Oc1cc(-c2cnc3cccnn23)ccc1Cl; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'OB(O)c1ccc(Cl)c(O)c1', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999995827674866, 0.9999951720237732, 0.9999524354934692]
+COc1cc(C(N)=O)ccc1-c1cnc2cccnn12; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Clc1cnc2cccnn12']; [0.9999963045120239]
+COc1ccc(F)cc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br']; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999997615814209, 0.9999973773956299, 0.9999804496765137, 0.9999572038650513]
+C[C@@]1(O)CC[C@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3cccnn23)c(Cl)c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Oc1cccc(Cl)c1']; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'OB(O)c1ccc(O)cc1Cl', 'OB(O)c1ccc(O)cc1Cl', 'c1cnn2ccnc2c1']; [0.9999992847442627, 0.999995768070221, 0.9999613761901855, 0.8057898283004761]
+COc1cc(F)ccc1-c1cnc2cccnn12; ['COc1cc(F)ccc1Br', 'Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1']; ['c1cnn2ccnc2c1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12']; [0.9999997019767761, 0.9999996423721313, 0.9999994039535522, 0.9999982118606567, 0.9999964237213135]
+O=C([O-])c1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1cnc2cccnn12; [None]; [None]; [0]
+Oc1ccc(-c2cnc3cccnn23)c(F)c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Clc1cnc2cccnn12', 'Oc1cccc(F)c1']; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'OB(O)c1ccc(O)cc1F', 'Clc1cnc2cccnn12', 'OB(O)c1ccc(O)cc1F', 'c1cnn2ccnc2c1']; [0.9999870657920837, 0.9999568462371826, 0.9998911619186401, 0.9994903802871704, 0.9327934980392456]
+COc1cc(-c2cnc3cccnn23)ccc1O; ['Brc1cnc2cccnn12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Brc1cnc2cccnn12', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1ccccc1O']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Clc1cnc2cccnn12', 'COc1cc(B(O)O)ccc1O', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [0.9999995827674866, 0.999998927116394, 0.9999833106994629, 0.9999407529830933, 0.9983083009719849, 0.7920020818710327]
+c1ccc2c(-c3cnc4cccnn34)n[nH]c2c1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cnc3cccnn23)o1; ['COC(=O)c1ccc(B(O)O)o1']; ['Clc1cnc2cccnn12']; [0.9976474046707153]
+Nc1cc(-c2cnc3cccnn23)ccn1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Nc1cc(Br)ccn1']; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1', 'c1cnn2ccnc2c1']; [1.0, 0.9999998807907104, 0.9999984502792358, 0.9999910593032837, 0.999709963798523]
+COC(=O)c1ccc(Cl)c(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1cnc2cccnn12', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'c1cnn2ccnc2c1', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12']; [0.9999997615814209, 0.9999984502792358, 0.9999946355819702, 0.999944806098938, 0.9998777508735657, 0.9998559951782227, 0.9998456835746765]
+Oc1ccc(-c2cnc3cccnn23)cc1F; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Oc1ccccc1F']; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1', 'c1cnn2ccnc2c1']; [1.0, 0.9999997615814209, 0.9999995231628418, 0.9999974966049194, 0.8321729898452759]
+Fc1ccc(-c2cnc3cccnn23)cc1Cl; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Fc1ccc(Br)cc1Cl', 'Clc1cnc2cccnn12']; ['OB(O)c1ccc(F)c(Cl)c1', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'c1cnn2ccnc2c1', 'OB(O)c1ccc(F)c(Cl)c1']; [1.0, 1.0, 0.9999995231628418, 0.999998927116394]
+Cc1nc2c(F)cc(-c3cnc4cccnn34)cc2[nH]1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3cccnn23)c(O)c1; ['Oc1cccc(O)c1']; ['c1cnn2ccnc2c1']; [0.9629114866256714]
+Oc1ccc(-c2ccc(-c3cnc4cccnn34)cc2)c(O)c1; [None]; [None]; [0]
+Clc1ccccc1OCc1cnc2cccnn12; [None]; [None]; [0]
+Oc1ncc(-c2cnc3cccnn23)cc1Cl; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Oc1ncc(I)cc1Cl', 'Oc1ncccc1Cl']; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [1.0, 0.9999995231628418, 0.9985580444335938, 0.9136732816696167]
+Cc1ccc2[nH]ncc2c1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2cccnn12', 'Cc1ccc2[nH]ncc2c1B(O)O']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cccnn12', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Clc1cnc2cccnn12']; [0.9999998807907104, 0.9999996423721313, 0.9999475479125977, 0.9998502731323242]
+Oc1ccc(Cl)c(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'OB(O)c1cc(O)ccc1Cl', 'OB(O)c1cc(O)ccc1Cl']; [0.9999895095825195, 0.9996863603591919, 0.9970426559448242]
+COc1cc(OC)cc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; ['COc1cc(OC)cc(B(O)O)c1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999997615814209, 0.9999988079071045, 0.9996534585952759]
+COc1ccc(-c2cnc3cccnn23)cc1OC; ['COc1ccc(Br)cc1OC']; ['c1cnn2ccnc2c1']; [0.9999324083328247]
+NC(=O)c1cc(-c2cnc3cccnn23)c[nH]1; ['NC(=O)c1cc(Br)c[nH]1']; ['c1cnn2ccnc2c1']; [0.9803322553634644]
+Cc1ccc(CO)cc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2cccnn12', 'Cc1ccc(CO)cc1B(O)O', 'Brc1cnc2cccnn12']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cccnn12', 'Cc1ccc(CO)cc1B(O)O', 'Clc1cnc2cccnn12', 'Cc1ccc(CO)cc1Br']; [0.9999969005584717, 0.9999961853027344, 0.9993690252304077, 0.9981286525726318, 0.9957132339477539]
+CCOc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999998807907104, 0.9999986886978149, 0.9999834299087524, 0.9999349117279053]
+COc1cc(CCc2cnc3cccnn23)ccc1O; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnc4cccnn34)cc2[nH]1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1']; ['Clc1cnc2cccnn12']; [1.0]
+Fc1ccc(-c2nc[nH]c2-c2cnc3cccnn23)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnc3cccnn23)cc1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'Clc1cnc2cccnn12']; [1.0, 0.9999998211860657]
+Oc1cncc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'OB(O)c1cncc(O)c1', 'Clc1cnc2cccnn12', 'Oc1cncc(Cl)c1', 'Brc1cnc2cccnn12', 'Oc1cncc(Br)c1']; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'c1cnn2ccnc2c1', 'Oc1cncc(Br)c1', 'c1cnn2ccnc2c1', 'Oc1cncc(Br)c1', 'c1cnn2ccnc2c1']; [0.9999998211860657, 0.9999986886978149, 0.9999768733978271, 0.9999459981918335, 0.9996150732040405, 0.9993922710418701, 0.9986337423324585, 0.9951986074447632, 0.982991099357605]
+O=C1Cc2cc(-c3cnc4cccnn34)ccc2N1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'O=C1Cc2cc(Br)ccc2N1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Clc1cnc2cccnn12', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'c1cnn2ccnc2c1']; [1.0, 0.9999996423721313, 0.999999463558197, 0.9999976754188538, 0.9997430443763733]
+CNc1nccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cnc4cccnn34)ccc12; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cccnn12']; [0.999998927116394, 0.9999967813491821]
+CCc1cc(O)ccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cccnn12']; [0.9999678134918213, 0.9999321699142456]
+C[C@H](CC(N)=O)c1cnc2cccnn12; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2cccnn12', 'Cc1cc(O)ccc1B(O)O']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2cccnn12', 'Cc1cc(O)ccc1B(O)O', 'Clc1cnc2cccnn12']; [0.9999536275863647, 0.999854326248169, 0.998830258846283, 0.9977375268936157]
+Clc1cnccc1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Clc1cnccc1Br']; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'OB(O)c1ccncc1Cl', 'OB(O)c1ccncc1Cl', 'c1cnn2ccnc2c1']; [0.9999995231628418, 0.9999978542327881, 0.9999431371688843, 0.9999209642410278]
+CN(c1cccc(Cl)c1)c1cnc2cccnn12; ['CNc1cccc(Cl)c1']; ['Clc1cnc2cccnn12']; [0.9999304413795471]
+CCc1sccc1-c1cnc2cccnn12; [None]; [None]; [0]
+FC(F)c1cc(-c2cnc3cccnn23)[nH]n1; [None]; [None]; [0]
+c1cnn2c(-c3ccc4c(c3)CCN4)cnc2c1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Ic1ccc2c(c1)CCN2']; ['Clc1cnc2cccnn12', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9999995231628418, 0.9999955892562866, 0.9984222650527954]
+Cc1n[nH]c2cc(N(C)c3cnc4cccnn34)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnc3cccnn23)c1C; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2cnc3cccnn23)cc1Cl; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Oc1c(Cl)cccc1Cl']; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'c1cnn2ccnc2c1']; [0.9999997615814209, 0.9999987483024597, 0.999996542930603, 0.9998639822006226, 0.9615434408187866]
+O=c1[nH]c2ccc(-c3cnc4cccnn34)cc2[nH]1; ['Brc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Clc1cnc2cccnn12', 'Brc1cnc2cccnn12', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'Clc1cnc2cccnn12', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'c1cnn2ccnc2c1']; [1.0, 0.9999998807907104, 0.9999995231628418, 0.9999983310699463, 0.9998226165771484, 0.9998108148574829]
+Fc1cc(Br)ccc1-c1cnc2cccnn12; ['Clc1cnc2cccnn12', 'Fc1cc(Br)ccc1Br', 'Brc1cnc2cccnn12']; ['OB(O)c1ccc(Br)cc1F', 'c1cnn2ccnc2c1', 'OB(O)c1ccc(Br)cc1F']; [0.999950647354126, 0.9999464154243469, 0.9999094605445862]
+CNC(=O)c1ccc(-c2cnc3cccnn23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2cccnn12', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Clc1cnc2cccnn12', 'CNC(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2cccnn12']; [1.0, 0.9999990463256836, 0.9999925494194031]
+Cc1oc(-c2cnc3cccnn23)cc1C(=O)[O-]; [None]; [None]; [0]
+CNc1nc(-c2cnc3cccnn23)ncc1F; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2cnc3cccnn23)c1; ['Clc1cnc2cccnn12', 'Brc1cnc2cccnn12']; ['OB(O)c1cc(O)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1']; [0.9999674558639526, 0.999945878982544]
+Oc1cc(-c2cnc3cccnn23)nc2ccnn12; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2cnc3cccnn23)cc1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['Clc1cnc2cccnn12', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [1.0, 0.9999997615814209, 0.9999985694885254]
+Cc1cc(-c2cnc3cccnn23)ccc1C(N)=O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Brc1cnc2cccnn12', 'Cc1cc(Br)ccc1C(N)=O']; ['Clc1cnc2cccnn12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'c1cnn2ccnc2c1']; [1.0, 1.0, 0.9954426288604736]
+Cn1ncc(N)c1-c1cnc2cccnn12; [None]; [None]; [0]
+Fc1ccc2n[nH]c(-c3cnc4cccnn34)c2c1; [None]; [None]; [0]
+Cc1cc(-c2cnc3cccnn23)cc(C)c1O; ['Brc1cnc2cccnn12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Brc1cnc2cccnn12', 'Cc1cc(B(O)O)cc(C)c1O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Clc1cnc2cccnn12', 'Cc1cc(B(O)O)cc(C)c1O', 'Clc1cnc2cccnn12']; [0.9999954104423523, 0.999972939491272, 0.9998000860214233, 0.9959427118301392]
+CSc1cccc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1']; ['CSc1cccc(B(O)O)c1', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999424815177917, 0.9998191595077515, 0.9988210201263428]
+Cc1nc2ccc(-c3cnc4cccnn34)cc2o1; ['Brc1cnc2cccnn12', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1']; ['Cc1nc2ccc(B(O)O)cc2o1', 'Clc1cnc2cccnn12', 'Clc1cnc2cccnn12']; [1.0, 1.0, 1.0]
+Oc1c(F)cc(-c2cnc3cccnn23)cc1F; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1']; [1.0, 0.9999974370002747, 0.9999966621398926, 0.9998556971549988]
+c1ccc2c(COc3cnc4cccnn34)cccc2c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['OCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0.9966083765029907, 0.9949295520782471]
+CN(c1cccc2[nH]ncc12)c1cnc2cccnn12; [None]; [None]; [0]
+Fc1ccc(Oc2cnc3cccnn23)c(F)c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999997615814209, 0.9999988079071045]
+O=c1[nH][nH]c2cc(-c3cnc4cccnn34)ccc12; ['O=c1[nH][nH]c2cc(Br)ccc12']; ['c1cnn2ccnc2c1']; [0.9990760087966919]
+Fc1ccc(COc2cnc3cccnn23)c(F)c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F']; [0.9999916553497314, 0.9998965263366699]
+Fc1cccc(Cl)c1CNc1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Fc1cccc(Cl)c1CBr', 'Nc1cnc2cccnn12']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'Nc1cnc2cccnn12', 'O=Cc1c(F)cccc1Cl']; [1.0, 1.0, 1.0, 0.9999997615814209]
+Fc1ccc(CCc2cnc3cccnn23)c(F)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1I', 'Brc1c[nH]c2ccccc12', 'CNC(=O)c1ccccc1Br', 'CN=C=O']; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'CNC(=O)c1ccccc1B(O)O', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc(-c2c[nH]c3ccccc23)cc1']; [0.9992609024047852, 0.9970234036445618, 0.9864497184753418, 0.979155421257019, 0.9764664173126221, 0.9118242263793945, 0.8197108507156372]
+Cc1onc(-c2ccccc2)c1-c1cnc2cccnn12; ['Brc1cnc2cccnn12', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1I']; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [0.9999924898147583, 0.9999734163284302, 0.9998136758804321, 0.9873908758163452]
+Clc1ccc(-c2[nH]ncc2-c2cnc3cccnn23)cc1; [None]; [None]; [0]
+Fc1ccc(-c2ncoc2-c2cnc3cccnn23)cc1; [None]; [None]; [0]
+c1ccc2c(CCc3cnc4cccnn34)c[nH]c2c1; [None]; [None]; [0]
+COC(C)(C)CCc1c[nH]c2ccccc12; [None]; [None]; [0]
+CCOc1ccccc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'Brc1c[nH]c2ccccc12', 'CCOc1ccccc1B(O)O', 'Brc1c[nH]c2ccccc12', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Cl', 'CCOc1ccccc1N', 'CCOc1ccccc1Br', 'Brc1c[nH]c2ccccc12']; ['CCOc1ccccc1Br', 'Ic1c[nH]c2ccccc12', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'Ic1c[nH]c2ccccc12', 'CCOc1ccccc1B(O)O', 'Clc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'CCOc1ccccc1Br']; [0.9999431371688843, 0.999936044216156, 0.9999184608459473, 0.9998906850814819, 0.9996358156204224, 0.9990741014480591, 0.9966956377029419, 0.9917886853218079, 0.9684798717498779, 0.9551942944526672, 0.9075294733047485]
+Cc1nnc(-c2ccccc2-c2c[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1c[nH]c2ccccc12; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'Brc1c[nH]c2ccccc12', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1', 'CC(C)S(=O)(=O)c1cccc(Br)c1', 'Brc1c[nH]c2ccccc12']; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'OB(O)c1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'OB(O)c1c[nH]c2ccccc12', 'CC(C)S(=O)(=O)c1ccccc1Br']; [0.9999822378158569, 0.9998669624328613, 0.9980875849723816, 0.9977043867111206, 0.9976383447647095, 0.9963943362236023, 0.9822953939437866, 0.9543967247009277, 0.8576358556747437]
+CP(C)(=O)c1ccccc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2c[nH]c3ccccc23)c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'NNc1ccccc1', 'C#Cc1cccc(C(F)(F)F)c1', 'C#Cc1cccc(C(F)(F)F)c1', 'C#Cc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'NNc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1']; ['FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'O=CCc1cccc(C(F)(F)F)c1', '[N-]=[N+]=Nc1ccccc1', 'O=Nc1ccccc1', 'O=[N+]([O-])c1ccccc1', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9996672868728638, 0.9990915060043335, 0.9988866448402405, 0.9988147020339966, 0.9982028007507324, 0.9961642026901245, 0.9842809438705444, 0.9355707168579102, 0.8358561992645264]
+FC(F)(F)Oc1ccccc1-c1c[nH]c2ccccc12; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Cl', 'NNc1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'Clc1c[nH]c2ccccc12', 'Nc1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Cl']; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'FC(F)(F)Oc1ccccc1I', 'c1ccc2[nH]ccc2c1', 'Clc1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'OB(O)c1ccccc1OC(F)(F)F', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9999089241027832, 0.9997830390930176, 0.9997415542602539, 0.9996242523193359, 0.9991704225540161, 0.9988611936569214, 0.9982844591140747, 0.9965263605117798, 0.9947904348373413, 0.9935345649719238, 0.99346524477005, 0.991828203201294, 0.9895364046096802, 0.9856016635894775, 0.9837093353271484, 0.9781017899513245]
+CCn1cc(-c2c[nH]c3ccccc23)cn1; ['Brc1c[nH]c2ccccc12', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1', 'Brc1c[nH]c2ccccc12', 'CCn1cc(I)cn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1c[nH]c2ccccc12', 'CCn1cc(Br)cn1', 'Clc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'CCn1cc(B(O)O)cn1', 'OB(O)c1c[nH]c2ccccc12']; [0.999782919883728, 0.9997330904006958, 0.9991800785064697, 0.9989923238754272, 0.9889565110206604, 0.9819592237472534, 0.9538182020187378, 0.830115795135498]
+c1ccc2c(-c3c[nH]c4ccccc34)ccnc2c1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1c[nH]c2ccccc12; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br', 'Clc1c[nH]c2ccccc12']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'NC(=O)c1ccccc1Br', 'Clc1c[nH]c2ccccc12', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'NC(=O)c1ccccc1B(O)O']; [0.9998862147331238, 0.9997084140777588, 0.9986706972122192, 0.998505711555481, 0.9960242509841919, 0.9720287322998047, 0.966727614402771, 0.9389020204544067, 0.937476396560669, 0.9269028902053833, 0.8428153395652771]
+Cn1cnc2ccc(-c3c[nH]c4ccccc34)cc2c1=O; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Cn1cnc2ccc(Br)cc2c1=O']; ['Cn1cnc2ccc(Br)cc2c1=O', 'OB(O)c1c[nH]c2ccccc12']; [0.9982643723487854, 0.9545526504516602]
+c1ccc(Cn2cc(-c3c[nH]c4ccccc34)cn2)cc1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999344348907471, 0.9998735189437866, 0.9984877109527588, 0.9979877471923828, 0.9977625608444214, 0.993556559085846]
+CC(C)(C)c1nc(-c2c[nH]c3ccccc23)cs1; [None]; [None]; [0]
+CC(C)C(=O)COc1c[nH]c2ccccc12; ['CC(C)C(=O)CBr', 'CC(C)C(=O)CCl']; ['Oc1c[nH]c2ccccc12', 'Oc1c[nH]c2ccccc12']; [0.9622249603271484, 0.9130539298057556]
+O=C(Nc1cccc(-c2c[nH]c3ccccc23)c1)c1ccccc1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12']; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999599456787109, 0.9998862743377686, 0.9985214471817017, 0.9938026666641235]
+c1ccc(-c2ncc(-c3c[nH]c4ccccc34)[nH]2)cc1; ['Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; ['c1ccc(-c2ncc[nH]2)cc1', 'c1ccc(-c2ncc[nH]2)cc1', 'c1ccc(-c2ncc[nH]2)cc1']; [0.993536114692688, 0.9134386777877808, 0.9100204706192017]
+Clc1ccc(Cl)c(-c2c[nH]c3ccccc23)c1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Clc1ccc(Cl)c(Br)c1', 'Brc1c[nH]c2ccccc12', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(I)c1', 'Clc1c[nH]c2ccccc12', 'Clc1ccc(Cl)c(Br)c1', 'Nc1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Cl)c1']; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'Ic1c[nH]c2ccccc12', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'OB(O)c1c[nH]c2ccccc12']; [0.9999545812606812, 0.9998345375061035, 0.9997994899749756, 0.9997551441192627, 0.9989277720451355, 0.9988607168197632, 0.998759925365448, 0.9987447261810303, 0.9897975921630859, 0.9873849153518677, 0.9864110946655273, 0.9676601886749268, 0.8554731607437134]
+Cc1nc(C)c(-c2c[nH]c3ccccc23)s1; ['Cc1nc(C)c(Br)s1', 'Brc1c[nH]c2ccccc12', 'Cc1csc(C)n1']; ['OB(O)c1c[nH]c2ccccc12', 'Cc1csc(C)n1', 'Ic1c[nH]c2ccccc12']; [0.9998191595077515, 0.9800053834915161, 0.9654784798622131]
+Cc1ccc(-c2c[nH]c3ccccc23)c(Br)c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(NN)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Brc1c[nH]c2ccccc12', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1cccc(Br)c1']; ['Cc1ccc(I)c(Br)c1', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'Cc1ccc(B(O)O)c(Br)c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9996873140335083, 0.9991726875305176, 0.9967646598815918, 0.9874719381332397, 0.9807408452033997, 0.9098999500274658, 0.8456728458404541, 0.808114767074585, 0.7510624527931213]
+CNc1nc(C)c(-c2c[nH]c3ccccc23)s1; ['CNc1nc(C)c(Br)s1', 'Brc1c[nH]c2ccccc12']; ['OB(O)c1c[nH]c2ccccc12', 'CNc1nc(C)cs1']; [0.9972813725471497, 0.9829106330871582]
+OCCn1cc(-c2c[nH]c3ccccc23)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; ['Ic1c[nH]c2ccccc12', 'OCCn1cc(I)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(I)cn1']; [0.9998657703399658, 0.9995968341827393, 0.9994574785232544, 0.9985661506652832, 0.9881408214569092, 0.8729748129844666, 0.838920533657074, 0.7567029595375061]
+c1cc(Cn2cncn2)cc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Cc1cn2ccccc2n1', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Cc1cn2ccccc2n1', 'Brc1c[nH]c2ccccc12', 'Cc1nc2ccccn2c1Br', 'Cc1nc2ccccn2c1I']; ['Cc1nc2ccccn2c1Br', 'OB(O)c1c[nH]c2ccccc12', 'Cc1cn2ccccc2n1', 'Cc1nc2ccccn2c1I', 'Ic1c[nH]c2ccccc12', 'Cc1nc2ccccn2c1C(=O)O', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999724626541138, 0.9999694228172302, 0.9999485015869141, 0.9999346733093262, 0.9999268054962158, 0.9991246461868286, 0.9988213777542114, 0.998782217502594]
+c1ccc2c(-c3cnc4ccccn34)c[nH]c2c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1cnc2ccccn12', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Clc1cnc2ccccn12']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'OB(O)c1c[nH]c2ccccc12']; [0.9999788999557495, 0.9999579191207886, 0.9997135400772095, 0.999610424041748, 0.9993306398391724, 0.9988818168640137, 0.9987398386001587, 0.9894901514053345, 0.9788690805435181, 0.970844030380249]
+Cc1nc(N)sc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2c[nH]c3ccccc23)c1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Brc1c[nH]c2ccccc12', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(N)c1']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'OB(O)c1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Cc1ccc(Cl)c(B(O)O)c1', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9998214840888977, 0.9996726512908936, 0.9995715618133545, 0.9993960857391357, 0.9983857870101929, 0.9983792304992676, 0.997856080532074, 0.9964442253112793, 0.9852545261383057, 0.9544926881790161]
+Brc1cccc(-c2c[nH]c3ccccc23)c1; ['NNc1ccccc1', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'C#Cc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'C#Cc1cccc(Br)c1', 'C#Cc1cccc(Br)c1', 'NNc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1']; ['O=CCc1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Ic1c[nH]c2ccccc12', '[N-]=[N+]=Nc1ccccc1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'O=Nc1ccccc1', 'O=[N+]([O-])c1ccccc1', 'c1ccc2[nH]ccc2c1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999645948410034, 0.9997303485870361, 0.9994757771492004, 0.9972872138023376, 0.9966619610786438, 0.9958838820457458, 0.9955381155014038, 0.995165228843689, 0.993375301361084, 0.9763351082801819, 0.9384364485740662, 0.921475887298584, 0.8575223684310913]
+c1cncc(CNc2c[nH]c3ccccc23)c1; ['Clc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'NCc1cccnc1', 'BrCc1cccnc1', 'Nc1c[nH]c2ccccc12', 'ClCc1cccnc1', 'COc1c[nH]c2ccccc12']; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'Oc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'O=Cc1cccnc1', 'Nc1c[nH]c2ccccc12', 'NCc1cccnc1']; [0.9969035387039185, 0.9938962459564209, 0.992348313331604, 0.9920570850372314, 0.9681606292724609, 0.9411687850952148, 0.9159299731254578, 0.8493668437004089]
+Cc1c(-c2c[nH]c3ccccc23)sc(=O)n1C; [None]; [None]; [0]
+O=c1c2c(F)cccc2cnn1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+c1ccc2c(-c3cnc4cccnn34)c[nH]c2c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1cnc2cccnn12', 'Brc1c[nH]c2ccccc12', 'Clc1cnc2cccnn12', 'c1ccc2[nH]ccc2c1']; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1c[nH]c2ccccc12', 'c1cnn2ccnc2c1', 'OB(O)c1c[nH]c2ccccc12', 'c1cnn2ccnc2c1']; [0.9999837875366211, 0.9999644756317139, 0.9994277954101562, 0.9991859793663025, 0.997378945350647, 0.9966879487037659]
+Clc1cccc(Cl)c1-c1c[nH]c2ccccc12; ['Clc1cccc(Cl)c1Br', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1cccc(Cl)c1I', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Br', 'Clc1c[nH]c2ccccc12', 'NNc1ccccc1', 'C#Cc1c(Cl)cccc1Cl', 'Brc1c[nH]c2ccccc12', 'C#Cc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1', 'C#Cc1c(Cl)cccc1Cl', 'Nc1c(Cl)cccc1Cl', 'NNc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Cl']; ['OB(O)c1c[nH]c2ccccc12', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'O=CCc1c(Cl)cccc1Cl', '[N-]=[N+]=Nc1ccccc1', 'Clc1cccc(Cl)c1', 'O=[N+]([O-])c1ccccc1', 'c1ccc2[nH]ccc2c1', 'Ic1c[nH]c2ccccc12', 'O=Nc1ccccc1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.999901533126831, 0.9998868703842163, 0.9998035430908203, 0.999765157699585, 0.9997163414955139, 0.9994530081748962, 0.9972758293151855, 0.9969004988670349, 0.9966202974319458, 0.9948870539665222, 0.9936710000038147, 0.9919205904006958, 0.991604208946228, 0.989111602306366, 0.9784784913063049, 0.9639153480529785, 0.9589054584503174, 0.9164584279060364, 0.9162798523902893]
+Nc1nccc(-c2c[nH]c3ccccc23)n1; ['Nc1nccc(Br)n1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1nccc(Cl)n1', None, None, 'Nc1nccc(Cl)n1']; ['OB(O)c1c[nH]c2ccccc12', 'Nc1nccc(Cl)n1', 'OB(O)c1c[nH]c2ccccc12', None, None, 'c1ccc2[nH]ccc2c1']; [0.9997847080230713, 0.9988484978675842, 0.9975702166557312, 0, 0, 0.8226451873779297]
+O=C(Nc1c[nH]c2ccccc12)c1cccs1; ['Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'COC(=O)c1cccs1', 'NC(=O)c1cccs1', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1']; [0.9926574230194092, 0.9923208951950073, 0.9362683892250061, 0.9308874011039734, 0.9294347763061523, 0.8824076652526855, 0.8520845770835876]
+c1ccc2c(NCCc3c[nH]cn3)c[nH]c2c1; ['NCCc1c[nH]cn1', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['OB(O)c1c[nH]c2ccccc12', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9521769881248474, 0.9469096064567566, 0.9110674858093262, 0.8834399580955505]
+NC(=O)c1c(F)cccc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl', 'NC(=O)c1c(F)cccc1Br']; ['NC(=O)c1c(F)cccc1Br', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1']; [0.999907374382019, 0.9887833595275879, 0.9598920941352844, 0.7692812085151672]
+c1ccc2c(c1)ncn2-c1c[nH]c2ccccc12; [None]; [None]; [0]
+c1ccc2cc(-c3c[nH]c4ccccc34)ccc2c1; ['Brc1c[nH]c2ccccc12', 'Brc1ccc2ccccc2c1', 'C#Cc1ccc2ccccc2c1', 'C#Cc1ccc2ccccc2c1', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'C#Cc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Clc1c[nH]c2ccccc12', 'Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'NNc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', '[N-]=[N+]=Nc1ccccc1', 'O=Nc1ccccc1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'O=[N+]([O-])c1ccccc1', 'c1ccc2[nH]ccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.999902606010437, 0.9998557567596436, 0.9996166229248047, 0.9995445013046265, 0.9992004036903381, 0.9991021752357483, 0.9989794492721558, 0.9958242774009705, 0.985994815826416, 0.982345700263977, 0.9788827896118164, 0.9761886596679688, 0.9631152153015137, 0.9243184328079224, 0.8986833095550537, 0.7670509815216064]
+c1cncc(Nc2c[nH]c3ccccc23)c1; ['Nc1c[nH]c2ccccc12', 'Clc1cccnc1', 'Ic1c[nH]c2ccccc12', 'Fc1cccnc1', 'Nc1cccnc1', 'Nc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'Ic1cccnc1', 'Brc1c[nH]c2ccccc12', 'Brc1cccnc1']; ['OB(O)c1cccnc1', 'Nc1c[nH]c2ccccc12', 'Nc1cccnc1', 'Nc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'O=S(=O)(Oc1cccnc1)C(F)(F)F', 'Nc1cccnc1', 'Nc1c[nH]c2ccccc12', 'Nc1cccnc1', 'Nc1c[nH]c2ccccc12']; [0.9962036609649658, 0.9943718910217285, 0.9928504228591919, 0.9906930923461914, 0.988465428352356, 0.9881114959716797, 0.9784952998161316, 0.9741437435150146, 0.9721403121948242, 0.9394716024398804]
+c1ccc2c(-c3cnn4ncccc34)c[nH]c2c1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9997131824493408, 0.9990546703338623, 0.9970824718475342]
+c1ccc(CCNc2c[nH]c3ccccc23)cc1; ['Cc1ccc(S(=O)(=O)OCCc2ccccc2)cc1', 'CS(=O)(=O)OCCc1ccccc1', 'ClCCc1ccccc1', 'Nc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'BrCCc1ccccc1', 'ICCc1ccccc1', 'Brc1c[nH]c2ccccc12']; ['Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'OCCc1ccccc1', 'NCCc1ccccc1', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'NCCc1ccccc1']; [0.9935195446014404, 0.9777536392211914, 0.9115482568740845, 0.9024697542190552, 0.8338804244995117, 0.8223068714141846, 0.782080888748169, 0.7767229080200195]
+FC(F)(F)c1n[nH]cc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'FC(F)(F)c1n[nH]cc1Cl']; ['FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'OB(O)c1c[nH]c2ccccc12']; [0.9998857975006104, 0.9998520016670227, 0.9991903305053711, 0.998951256275177, 0.9985821843147278, 0.995793342590332, 0.9955552816390991]
+c1ccc2c(-c3c[nH]c4ccccc34)cncc2c1; ['Brc1c[nH]c2ccccc12', 'Brc1cncc2ccccc12', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12', 'NNc1cncc2ccccc12', 'Clc1c[nH]c2ccccc12', 'Clc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9998626708984375, 0.99971604347229, 0.997509241104126, 0.9852064847946167, 0.9754394888877869, 0.9695295691490173, 0.9424805641174316, 0.9242676496505737, 0.9178595542907715, 0.9005062580108643, 0.8252043724060059, 0.783534049987793]
+Nc1[nH]nc2cc(-c3c[nH]c4ccccc34)ccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1[nH]nc2cc(Br)ccc12']; ['Nc1[nH]nc2cc(Br)ccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999424815177917, 0.9931504726409912]
+Clc1ccc(CNc2c[nH]c3ccccc23)cc1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Clc1ccc(CBr)cc1', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'NCc1ccc(Cl)cc1']; ['NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'Nc1c[nH]c2ccccc12', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'OB(O)c1c[nH]c2ccccc12']; [0.9950460195541382, 0.9816111326217651, 0.9755432605743408, 0.9632774591445923, 0.9591434001922607, 0.8843693733215332, 0.8547592163085938]
+O=C([O-])Cc1cccc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3c[nH]c4ccccc34)cc2)cn1; [None]; [None]; [0]
+CN1c2ccc(-c3c[nH]c4ccccc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3c[nH]c4ccccc34)ccc21; ['Brc1c[nH]c2ccccc12', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1c[nH]c2ccccc12', 'Cn1ncc2cc(I)ccc21', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(N)ccc21']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Ic1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'OB(O)c1c[nH]c2ccccc12', 'Cn1ncc2cc(Cl)ccc21', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9999978542327881, 0.9999874830245972, 0.9999679327011108, 0.9999593496322632, 0.9999556541442871, 0.999910831451416, 0.99983149766922, 0.9993582963943481, 0.99728924036026, 0.9908938407897949, 0.9883183240890503, 0.9367939233779907, 0.9310073852539062]
+CCCn1cnc(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
+OCc1cccc(-c2c[nH]c3ccccc23)c1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'C#Cc1cccc(CO)c1', 'Brc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'C#Cc1cccc(CO)c1']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'OCc1cccc(Br)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'O=Nc1ccccc1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'O=[N+]([O-])c1ccccc1']; [0.999824047088623, 0.9996767044067383, 0.9900845289230347, 0.9835343360900879, 0.9746525287628174, 0.9721332788467407, 0.9685851335525513, 0.9346710443496704, 0.8410294055938721]
+Oc1cccc(-c2c[nH]c3ccccc23)c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; ['Oc1cccc(Br)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Clc1c[nH]c2ccccc12', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(Cl)c1']; [0.9987753629684448, 0.998207688331604, 0.9978040456771851, 0.9976426362991333, 0.9949999451637268, 0.9934016466140747, 0.9755416512489319, 0.9623528122901917, 0.9565725326538086, 0.8761287927627563, 0.811324417591095]
+c1ccc2c(-c3ccc(-c4cn[nH]c4)cc3)c[nH]c2c1; [None]; [None]; [0]
+CC(C)n1cc(-c2c[nH]c3ccccc23)nn1; ['C#Cc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'CC(C)n1ccnn1', 'CC(C)n1ccnn1']; ['CC(C)N=[N+]=[N-]', 'CC(C)n1ccnn1', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999995231628418, 0.9999809265136719, 0.9999674558639526, 0.9999650716781616]
+Fc1ccccc1CNc1c[nH]c2ccccc12; ['Nc1c[nH]c2ccccc12', 'NCc1ccccc1F', 'Clc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Fc1ccccc1CCl', 'Fc1ccccc1CBr']; ['OCc1ccccc1F', 'OB(O)c1c[nH]c2ccccc12', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12']; [0.9706859588623047, 0.9465651512145996, 0.9413297176361084, 0.9318090677261353, 0.914333701133728, 0.9039283990859985, 0.9010512828826904]
+c1ccc2c(Nc3ccncc3)c[nH]c2c1; ['Nc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'Nc1ccncc1', 'Clc1ccncc1', 'Brc1c[nH]c2ccccc12', 'Ic1ccncc1', 'Ic1c[nH]c2ccccc12', 'Fc1ccncc1', 'Brc1ccncc1']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'OB(O)c1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1ccncc1', 'Nc1c[nH]c2ccccc12', 'Nc1ccncc1', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12']; [0.9995794892311096, 0.9985874891281128, 0.9984519481658936, 0.9943245649337769, 0.9913197159767151, 0.9879516363143921, 0.9855189323425293, 0.9820073843002319, 0.9223837852478027]
+N#CCCc1cccc(-c2c[nH]c3ccccc23)c1; ['Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'N#CCCc1cccc(Br)c1']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'OB(O)c1c[nH]c2ccccc12']; [0.9998056888580322, 0.9991681575775146, 0.9984406232833862, 0.997370719909668, 0.8914393782615662]
+CSc1nc(-c2c[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
+c1ccc2c(-c3csc4ncncc34)c[nH]c2c1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'c1ccc2[nH]ccc2c1', 'OB(O)c1c[nH]c2ccccc12']; [0.999911904335022, 0.9986103177070618, 0.9968709945678711]
+Nc1nc(-c2c[nH]c3ccccc23)cs1; ['NC(N)=S', 'CC(=O)c1c[nH]c2ccccc12', None, 'Nc1nc(Cl)cs1']; ['O=C(CCl)c1c[nH]c2ccccc12', 'NC(N)=S', None, 'OB(O)c1c[nH]c2ccccc12']; [0.9999977350234985, 0.9999426603317261, 0, 0.9991354942321777]
+CCNc1nc2ccc(-c3c[nH]c4ccccc34)cc2s1; [None]; [None]; [0]
+c1ccc2c(CCc3c[nH]nn3)c[nH]c2c1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3c[nH]c4ccccc34)cc2c1; ['Brc1c[nH]c2ccccc12', 'CC(=O)c1c[nH]c2ccccc12', 'Nc1ccccc1C=C(Br)Br', 'C#Cc1c[nH]c2ccccc12', 'CC(=O)c1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'Nc1ccccc1I', 'OB(O)c1c[nH]c2ccccc12', 'Nc1ccccc1I', 'NNc1ccccc1', 'c1ccc2[nH]ccc2c1']; [0.9999252557754517, 0.9993581771850586, 0.9952793121337891, 0.9920414090156555, 0.9874768257141113, 0.9186217784881592]
+c1ccc(Oc2c[nH]c3ccccc23)nc1; ['Clc1ccccn1', 'Fc1ccccn1', 'Brc1ccccn1', 'Ic1ccccn1']; ['Oc1c[nH]c2ccccc12', 'Oc1c[nH]c2ccccc12', 'Oc1c[nH]c2ccccc12', 'Oc1c[nH]c2ccccc12']; [0.99365234375, 0.9782735109329224, 0.9768739938735962, 0.9155368804931641]
+CCC(=O)Nc1ccc(-c2c[nH]c3ccccc23)cc1; ['Brc1c[nH]c2ccccc12']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; [0.999775767326355]
+COc1cc(-c2c[nH]c3ccccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+NC(=O)CCCc1c[nH]c2ccccc12; ['O=C(O)CCCc1c[nH]c2ccccc12', None, 'O=C(O)CCCc1c[nH]c2ccccc12', None, None]; ['O=C(n1ccnc1)n1ccnc1', None, '[NH4+]', None, None]; [0.9942202568054199, 0, 0.9688087701797485, 0, 0]
+CC(C)c1oncc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+O=C(Nc1c[nH]c2ccccc12)c1c(Cl)cccc1Cl; ['Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'NC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'Nc1c[nH]c2ccccc12']; [0.9961292743682861, 0.9877043962478638, 0.9567534923553467, 0.8067449331283569]
+CC(=O)Nc1cccc(-c2c[nH]c3ccccc23)c1; ['Brc1c[nH]c2ccccc12', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'Brc1c[nH]c2ccccc12', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC(=O)Nc1cccc(B(O)O)c1', 'OB(O)c1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9998012781143188, 0.9997556209564209, 0.9997386336326599, 0.9921910166740417, 0.9734563231468201, 0.9727526903152466, 0.9405807256698608, 0.8199036121368408]
+Fc1ccc(-c2c[nH]c3ccccc23)c(C(F)(F)F)c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Clc1c[nH]c2ccccc12', 'Fc1ccc(I)c(C(F)(F)F)c1', 'NNc1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Nc1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.999987781047821, 0.9999496936798096, 0.9999370574951172, 0.999863862991333, 0.9998128414154053, 0.9998078942298889, 0.9996399283409119, 0.9993447065353394, 0.9989795684814453, 0.9970285892486572, 0.9969365000724792, 0.9965178966522217, 0.9928247928619385, 0.9898635149002075]
+Nc1ncncc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1Cl']; ['Nc1ncncc1Br', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999720454216003, 0.9959573745727539, 0.9954497218132019, 0.9552989602088928]
+CC(C)(O)CC(=O)NCCc1c[nH]c2ccccc12; ['CCOC(=O)CC(C)(C)O', 'COC(=O)CC(C)(C)O', 'CC(C)(O)CC(=O)[O-]', 'CC(C)(O)CC#N', 'CC(C)(O)CC(=O)O']; ['NCCc1c[nH]c2ccccc12', 'NCCc1c[nH]c2ccccc12', 'NCCc1c[nH]c2ccccc12', 'NCCc1c[nH]c2ccccc12', 'NCCc1c[nH]c2ccccc12']; [0.9932543039321899, 0.9877703189849854, 0.9874266386032104, 0.9733176231384277, 0.9615949392318726]
+CS(=O)(=O)C1CCN(c2c[nH]c3ccccc23)CC1; ['Brc1c[nH]c2ccccc12', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['CS(=O)(=O)C1CCNCC1', 'OB(O)c1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12']; [0.9530962109565735, 0.8740477561950684, 0.8544523119926453]
+Cn1cc(-c2c[nH]c3ccccc23)c2ccccc21; ['Brc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12']; ['Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9879522323608398, 0.9750969409942627]
+COc1ccc(-c2c[nH]c3ccccc23)cc1Cl; ['Brc1c[nH]c2ccccc12', 'COc1ccc(N)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['COc1ccc(B(O)O)cc1Cl', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9913358688354492, 0.7603991031646729, 0.753190279006958]
+CCCn1cc(-c2c[nH]c3ccccc23)cn1; ['Brc1c[nH]c2ccccc12', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1', 'Brc1c[nH]c2ccccc12', 'CCCn1cc(I)cn1', 'CCCn1cc(Br)cn1', 'Brc1c[nH]c2ccccc12']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Ic1c[nH]c2ccccc12', 'CCCn1cc(I)cn1', 'CCCn1cc(Br)cn1', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'CCCn1cc(B(O)O)cn1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'CCCn1cccn1']; [0.999980092048645, 0.9999688863754272, 0.9998682737350464, 0.9997584819793701, 0.9953835010528564, 0.9895431995391846, 0.9890438318252563, 0.9800095558166504, 0.8961201906204224, 0.8383480906486511]
+CC(C)(COc1c[nH]c2ccccc12)S(C)(=O)=O; [None]; [None]; [0]
+c1ccc2c(-c3cnn4ccccc34)c[nH]c2c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Ic1cnn2ccccc12', 'Brc1c[nH]c2ccccc12', 'Brc1cnn2ccccc12', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12', 'Clc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Clc1cnn2ccccc12']; ['Ic1cnn2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'OB(O)c1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1cnn2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'OB(O)c1cnn2ccccc12', 'c1ccn2nccc2c1', 'OB(O)c1c[nH]c2ccccc12']; [0.9999789595603943, 0.999933660030365, 0.9998325705528259, 0.9997950792312622, 0.9996525049209595, 0.9992020726203918, 0.9971010088920593, 0.9944722652435303, 0.9841905832290649, 0.9774439334869385, 0.9559270143508911, 0.9456837177276611, 0.8754938840866089]
+C[C@@H](Oc1c[nH]c2ccccc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Brc1c[nH]c2ccccc12', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Ic1c[nH]c2ccccc12', 'Oc1c[nH]c2ccccc12', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'Clc1c[nH]c2ccccc12']; [0.9742176532745361, 0.927422285079956, 0.8112576007843018, 0.7509594559669495]
+O=c1cc(-c2c[nH]c3ccccc23)cc[nH]1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C']; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'O=c1cc(Br)cc[nH]1']; [0.9995852112770081, 0.9956599473953247]
+C[S@](=O)c1ccc(-c2c[nH]c3ccccc23)cc1; ['Brc1c[nH]c2ccccc12', 'CS(=O)c1ccc(Br)cc1']; ['CS(=O)c1ccc(B(O)O)cc1', 'OB(O)c1c[nH]c2ccccc12']; [0.9802101850509644, 0.9227622747421265]
+CCN(CC)c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CCNCC']; ['CCNCC', 'Clc1c[nH]c2ccccc12']; [0.9896373748779297, 0.907455563545227]
+CCNS(=O)(=O)c1ccccc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CCNS(=O)(=O)c1ccccc1Br', 'CCN']; ['CCNS(=O)(=O)c1ccccc1Br', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc(-c2c[nH]c3ccccc23)cc1']; [0.9994427561759949, 0.859138011932373, 0.8574633598327637]
+[NH3+]Cc1ccc(-c2c[nH]c3ccccc23)cc1C(F)(F)F; [None]; [None]; [0]
+O=C1CCc2cccc(-c3c[nH]c4ccccc34)c21; [None]; [None]; [0]
+COc1cc(CCc2c[nH]c3ccccc23)cc(OC)c1; ['BrCCc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['COc1cc(Br)cc(OC)c1', 'COc1cc(CCBr)cc(OC)c1']; [0.9145693778991699, 0.9017125964164734]
+COc1ccncc1Nc1c[nH]c2ccccc12; ['COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1Cl', 'COc1ccncc1N', 'Brc1c[nH]c2ccccc12', 'COc1ccncc1Br']; ['Ic1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'COc1ccncc1N', 'Nc1c[nH]c2ccccc12']; [0.9935864210128784, 0.9921220541000366, 0.9898397922515869, 0.9882024526596069, 0.9857680797576904, 0.9796781539916992]
+CC(C)(N)c1ccc(-c2c[nH]c3ccccc23)cc1; ['CC(C)(N)c1ccc(Br)cc1', 'CC(C)(N)c1cccc(Br)c1', 'CC(C)(N)c1ccc(Br)cc1']; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9992526769638062, 0.9673604369163513, 0.8786296844482422]
+c1ccc(-c2ccncc2Nc2c[nH]c3ccccc23)cc1; ['Brc1cnccc1-c1ccccc1', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['Nc1c[nH]c2ccccc12', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.9810768365859985, 0.9718238711357117, 0.9390374422073364, 0.832432746887207]
+O=c1[nH]ccc2oc(-c3c[nH]c4ccccc34)cc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'O=c1[nH]ccc2oc(Br)cc12']; ['O=c1[nH]ccc2oc(Br)cc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999345541000366, 0.9974040985107422]
+O=c1[nH]cc(Br)c2sc(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2c[nH]c3ccccc23)cc1; ['C#Cc1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'C#Cc1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(CC=O)cc1', 'C#Cc1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'Brc1c[nH]c2ccccc12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(NN)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(N)cc1']; ['O=[N+]([O-])c1ccccc1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', '[N-]=[N+]=Nc1ccccc1', 'NNc1ccccc1', 'O=Nc1ccccc1', 'OB(O)c1c[nH]c2ccccc12', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Ic1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'OB(O)c1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9999170303344727, 0.9998384714126587, 0.9998122453689575, 0.9998060464859009, 0.9983898997306824, 0.9980264902114868, 0.9976306557655334, 0.9973050355911255, 0.9903559684753418, 0.9815343618392944, 0.9793132543563843, 0.9569003582000732, 0.8348082304000854]
+c1ccc2ncc(Nc3c[nH]c4ccccc34)cc2c1; ['Clc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Fc1cnc2ccccc2c1', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Nc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1c[nH]c2ccccc12', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'OB(O)c1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12']; [0.9930918216705322, 0.9921754598617554, 0.9881531596183777, 0.9869503378868103, 0.9848358631134033, 0.9810833930969238, 0.9745016694068909, 0.9619097113609314, 0.8061271905899048]
+CC(C)Oc1cncc(-c2c[nH]c3ccccc23)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'Brc1c[nH]c2ccccc12', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'Brc1c[nH]c2ccccc12', 'CC(C)Oc1cncc(Br)c1', 'Brc1c[nH]c2ccccc12']; ['Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'CC(C)Oc1cncc(B(O)O)c1', 'OB(O)c1c[nH]c2ccccc12', 'CC(C)Oc1cncc(Br)c1']; [0.9999866485595703, 0.9999804496765137, 0.9999496340751648, 0.9998828172683716, 0.9988200664520264, 0.9970670938491821, 0.9950323104858398, 0.9448768496513367, 0.9319329857826233]
+CNC(=O)c1c(F)cccc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C']; ['CNC(=O)c1ccccc1F']; [0.9763921499252319]
+c1ccc2c(-c3cnc4[nH]ccc4c3)c[nH]c2c1; ['Brc1c[nH]c2ccccc12', 'Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1c[nH]c2ccccc12', 'Ic1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Ic1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Brc1cnc2[nH]ccc2c1', 'OB(O)c1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12']; [0.9999814033508301, 0.9999561905860901, 0.9998037815093994, 0.9993544220924377, 0.9985798001289368, 0.9985358715057373, 0.9982614517211914, 0.9910296201705933, 0.9908875226974487, 0.9890813231468201, 0.9785944223403931, 0.9716546535491943, 0.9000756144523621]
+CNS(=O)(=O)c1ccc(-c2c[nH]c3ccccc23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1c[nH]c2ccccc12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Ic1c[nH]c2ccccc12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'Clc1c[nH]c2ccccc12']; [0.999353289604187, 0.9987984895706177, 0.9939029216766357, 0.9924729466438293, 0.9810914993286133, 0.9574154615402222, 0.8900688290596008, 0.878727912902832]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2c[nH]c3ccccc23)cc1; ['Brc1c[nH]c2ccccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1c[nH]c2ccccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1c[nH]c2ccccc12']; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; [0.9999381899833679, 0.9999107122421265, 0.9984467029571533, 0.9981324672698975, 0.9976201057434082, 0.9918315410614014, 0.9102665185928345, 0.8680229187011719, 0.7869857549667358]
+COc1cccc(F)c1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+c1ccc2c(-c3c[nH]c4cnccc34)c[nH]c2c1; [None]; [None]; [0]
+c1ccc2c(-c3ccc(N4CCOCC4)cc3)c[nH]c2c1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'C1COCCN1', 'Brc1c[nH]c2ccccc12', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Fc1ccc(-c2c[nH]c3ccccc23)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'c1ccc2[nH]ccc2c1', 'Ic1c[nH]c2ccccc12']; [0.9999799728393555, 0.999915361404419, 0.9997314214706421, 0.9990376234054565, 0.998292088508606, 0.9972759485244751, 0.9947018623352051, 0.9916592836380005, 0.9890092015266418, 0.9862228631973267, 0.9800568222999573, 0.9765067100524902, 0.9646095037460327, 0.9622620344161987, 0.9474358558654785, 0.9108274579048157, 0.8301633596420288]
+Cc1cc(-c2c[nH]c3ccccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2c[nH]c3ccccc23)cc1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'C#Cc1ccc(S(C)(=O)=O)cc1', 'CS(=O)(=O)c1ccc(CC=O)cc1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'O=Nc1ccccc1', 'NNc1ccccc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12']; [0.9999721050262451, 0.9998997449874878, 0.9989445209503174, 0.9974253177642822, 0.9967614412307739, 0.9954229593276978, 0.99322509765625, 0.9906907081604004, 0.9895268678665161, 0.9646678566932678, 0.945665717124939, 0.8852137327194214, 0.8734954595565796]
+CN(c1c[nH]c2ccccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+OCc1ccn(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
+CC1(c2c[nH]c3ccccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@H](Nc1c[nH]c2ccccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@H](Nc1c[nH]c2ccccc12)C(C)(C)O; ['Brc1c[nH]c2ccccc12', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['C[C@H](N)C(C)(C)O', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12']; [0.9791755676269531, 0.9694092869758606, 0.8287349939346313]
+C[C@@H](Nc1c[nH]c2ccccc12)C(C)(C)O; ['Brc1c[nH]c2ccccc12', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['C[C@@H](N)C(C)(C)O', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12']; [0.9791755676269531, 0.9694092869758606, 0.9270908832550049, 0.8287349939346313]
+OCCc1cn(-c2c[nH]c3ccccc23)cn1; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1c[nH]c2ccccc12; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3ccccc23)c(OC)c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'COc1ccc(B(O)O)c(OC)c1', 'Brc1c[nH]c2ccccc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'Brc1c[nH]c2ccccc12', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(NN)c(OC)c1']; ['COc1ccc(Br)c(OC)c1', 'Ic1c[nH]c2ccccc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'Ic1c[nH]c2ccccc12', 'COc1ccc(B(O)O)c(OC)c1', 'Clc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'COc1cccc(OC)c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9999423027038574, 0.9999405145645142, 0.9999271631240845, 0.9999160766601562, 0.9998974204063416, 0.9997034668922424, 0.9996912479400635, 0.9995394945144653, 0.9991288185119629, 0.9988886117935181, 0.9944931864738464, 0.991181492805481, 0.9909018278121948, 0.9547972679138184, 0.9411206245422363, 0.9327667355537415, 0.8754040002822876]
+c1ccc2c(-c3ccc(-n4cncn4)cc3)c[nH]c2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3c[nH]c4ccccc34)[nH]c2c1; ['Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N', 'CCOC(=O)c1c[nH]c2ccccc12', 'Nc1ccc(O)cc1[N+](=O)[O-]', 'Ic1c[nH]c2ccccc12']; ['O=C(O)c1c[nH]c2ccccc12', 'O=Cc1c[nH]c2ccccc12', 'OCc1c[nH]c2ccccc12', 'O=C(Cl)c1c[nH]c2ccccc12', 'Nc1ccc(O)cc1N', 'O=Cc1c[nH]c2ccccc12', 'Oc1ccc2nc[nH]c2c1']; [0.9999345541000366, 0.9997599124908447, 0.9995436072349548, 0.9994378685951233, 0.9989181160926819, 0.9966805577278137, 0.8651725053787231]
+Oc1cccc2c1cnn2-c1c[nH]c2ccccc12; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2c[nH]c3ccccc23)cc1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'Clc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'Clc1c[nH]c2ccccc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'OB(O)c1c[nH]c2ccccc12', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9999639987945557, 0.999839723110199, 0.9985941648483276, 0.9978228807449341, 0.9964102506637573, 0.9959444403648376, 0.9931559562683105, 0.9927197694778442, 0.9917548894882202, 0.9680087566375732, 0.950191855430603, 0.9302833080291748, 0.8772011995315552, 0.8647217750549316]
+CSc1nc(C)c(-c2c[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
+O=C(CCc1c[nH]c2ccccc12)NCc1ccccn1; ['NCc1ccccn1', 'N#CCCc1c[nH]c2ccccc12', 'NCc1ccccn1', 'NCc1ccccn1', 'NC(=O)CCc1c[nH]c2ccccc12', 'CCOC(=O)CCc1c[nH]c2ccccc12', 'COC(=O)CCc1c[nH]c2ccccc12', 'BrCc1ccccn1', 'NC(=O)CCc1c[nH]c2ccccc12']; ['O=C(O)CCc1c[nH]c2ccccc12', 'NCc1ccccn1', 'O=C([O-])CCc1c[nH]c2ccccc12', 'OCCCc1c[nH]c2ccccc12', 'NCc1ccccn1', 'NCc1ccccn1', 'NCc1ccccn1', 'NC(=O)CCc1c[nH]c2ccccc12', 'OCc1ccccn1']; [0.9997804164886475, 0.9995763301849365, 0.9986673593521118, 0.9983996152877808, 0.9979673624038696, 0.9960891008377075, 0.9945415258407593, 0.9938769340515137, 0.9861103892326355]
+c1ccc(-c2ccc3nnc(Cc4c[nH]c5ccccc45)n3n2)cc1; ['NNc1ccc(-c2ccccc2)nn1']; ['O=C(O)Cc1c[nH]c2ccccc12']; [0.9995964765548706]
+CC(=O)N[C@@H]1CC[C@@H](c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
+CCCCc1cc(-c2c[nH]c3ccccc23)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2c[nH]c3ccccc23)s1; ['NNC(N)=S']; ['O=C(O)c1c[nH]c2ccccc12']; [0.9988818168640137]
+c1ccc2c(-c3nncn3C3CC3)c[nH]c2c1; [None]; [None]; [0]
+CCc1cc(-c2c[nH]c3ccccc23)nc(N)n1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CCc1ccnc(N)n1', 'CCc1cc(Cl)nc(N)n1', 'Brc1c[nH]c2ccccc12', 'CCc1ccnc(N)n1']; ['CCc1cc(Cl)nc(N)n1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'CCc1ccnc(N)n1', 'Ic1c[nH]c2ccccc12']; [0.999975323677063, 0.9998589754104614, 0.9996683597564697, 0.9981000423431396, 0.9893227815628052]
+[NH3+]CCn1ccc(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3c[nH]c4ccccc34)nn2)cc1; ['BrCc1ccccc1', 'C#Cc1c[nH]c2ccccc12', 'C#Cc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12']; ['C#Cc1c[nH]c2ccccc12', '[N-]=[N+]=NCc1ccccc1', 'ClCc1ccccc1', 'c1ccc(Cn2ccnn2)cc1', 'c1ccc(Cn2ccnn2)cc1', 'c1ccc(Cn2ccnn2)cc1']; [0.9999989867210388, 0.9999989867210388, 0.9999989867210388, 0.9992547035217285, 0.9930645227432251, 0.9909934997558594]
+O=S(=O)(Cc1c[nH]c2ccccc12)NCc1ccccn1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c[nH]c3ccccc23)s1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CNC(=O)c1ccc(Br)s1']; ['CNC(=O)c1ccc(Br)s1', 'OB(O)c1c[nH]c2ccccc12']; [0.9999939203262329, 0.9990018010139465]
+C[C@@H2]NC(=O)N1CCC(c2c[nH]c3ccccc23)CC1; [None, 'CCN', 'CCN=C=O', 'CCNC(=O)Oc1ccc([N+](=O)[O-])cc1', 'CCNC(=O)Oc1ccccc1', 'CCNC(=O)OCC', 'CCNC=O', 'CCNC(=O)OC']; [None, 'c1ccc2c(C3CCNCC3)c[nH]c2c1', 'c1ccc2c(C3CCNCC3)c[nH]c2c1', 'c1ccc2c(C3CCNCC3)c[nH]c2c1', 'c1ccc2c(C3CCNCC3)c[nH]c2c1', 'c1ccc2c(C3CCNCC3)c[nH]c2c1', 'c1ccc2c(C3CCNCC3)c[nH]c2c1', 'c1ccc2c(C3CCNCC3)c[nH]c2c1']; [0, 0.9996776580810547, 0.9988846778869629, 0.9964219331741333, 0.9942906498908997, 0.8350018858909607, 0.8239591121673584, 0.7898213863372803]
+c1cc(-c2c[nH]c3ccccc23)c2sccc2c1; ['Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'Brc1cccc2ccsc12']; ['OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9752030372619629, 0.9540915489196777, 0.7937980890274048]
+Nc1cncc(-c2c[nH]c3ccccc23)n1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'Brc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1']; [0.9996237754821777, 0.999459981918335, 0.9975322484970093, 0.993995189666748, 0.9846506714820862, 0.9324156045913696]
+c1cc(-c2c[nH]c3ccccc23)c2snnc2c1; ['Brc1cccc2nnsc12']; ['OB(O)c1c[nH]c2ccccc12']; [0.9807560443878174]
+CC(C)(O)c1cccc(-c2c[nH]c3ccccc23)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Cl)n1']; ['OB(O)c1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'OB(O)c1c[nH]c2ccccc12']; [0.9979692697525024, 0.9973723888397217, 0.9849576950073242, 0.9666107892990112]
+CC1(C)Oc2ccc(-c3c[nH]c4ccccc34)nc2NC1=O; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2cccnc2NC1=O', 'Brc1c[nH]c2ccccc12']; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'CC1(C)Oc2cccnc2NC1=O']; [0.9975719451904297, 0.9903355836868286, 0.9760826826095581, 0.7726673483848572]
+Nc1nc(-c2c[nH]c3ccccc23)nc2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1nc(Cl)nc2ccccc12']; ['Nc1nc(Cl)nc2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9944371581077576, 0.9736660718917847]
+[NH3+]Cc1ccc(Oc2c[nH]c3ccccc23)c(F)c1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+c1ccc2c(-c3c[nH]c4cccnc34)c[nH]c2c1; ['Ic1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12']; ['OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9990360736846924, 0.9807138442993164]
+c1ccc2nc(-c3c[nH]c4ccccc34)ncc2c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1ncc2ccccc2n1']; ['Clc1ncc2ccccc2n1', 'OB(O)c1c[nH]c2ccccc12']; [0.9995107650756836, 0.9841795563697815]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3c[nH]c4ccccc34)c2)cc1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1c[nH]c2ccccc12', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1N']; ['COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1c[nH]c2ccccc12', 'COc1ccc(C#N)cc1B(O)O', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9999887943267822, 0.9999864101409912, 0.9999850988388062, 0.9999728202819824, 0.999951958656311, 0.9999297857284546, 0.9999181032180786, 0.9998959302902222, 0.9996330738067627, 0.9994535446166992, 0.998778760433197, 0.9983486533164978, 0.9979968070983887, 0.997702956199646, 0.9941436648368835]
+c1ccc2c(-c3ncc4cc[nH]c4n3)c[nH]c2c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1ncc2cc[nH]c2n1']; ['Clc1ncc2cc[nH]c2n1', 'OB(O)c1c[nH]c2ccccc12']; [0.9965078830718994, 0.9797770380973816]
+CC(=O)Nc1ncc(-c2c[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2c[nH]c3ccccc23)c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(I)c1', 'Brc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(I)c1', 'Brc1c[nH]c2ccccc12', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(Br)c1']; ['COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'COc1ccc(OC)cc1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9999560117721558, 0.9999364018440247, 0.9997796416282654, 0.9997544288635254, 0.9997104406356812, 0.9995105266571045, 0.999276876449585, 0.9992124438285828, 0.9988036155700684, 0.9961796998977661, 0.9688851833343506, 0.9621273875236511, 0.9379202127456665, 0.9289518594741821]
+COc1ncccc1-c1c[nH]c2ccccc12; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'COc1ncccc1B(O)O', 'Brc1c[nH]c2ccccc12', 'COc1ncccc1Cl', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'Brc1c[nH]c2ccccc12']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'Ic1c[nH]c2ccccc12', 'COc1ncccc1I', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'Ic1c[nH]c2ccccc12', 'COc1ncccc1B(O)O', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'COc1ncccc1Br']; [0.9998361468315125, 0.9997334480285645, 0.9995996952056885, 0.9991039037704468, 0.9942488670349121, 0.994205117225647, 0.9804426431655884, 0.9717618823051453, 0.9706624746322632, 0.9464939832687378, 0.9438035488128662, 0.8073383569717407]
+COc1ccc(Oc2c[nH]c3ccccc23)c(F)c1F; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2c[nH]c3ccccc23)c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Brc1c[nH]c2ccccc12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'Brc1c[nH]c2ccccc12', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Clc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'c1ccc2[nH]ccc2c1']; [0.9999933242797852, 0.9999924302101135, 0.9999884366989136, 0.9999184608459473, 0.9994698166847229, 0.9991923570632935, 0.9987069368362427, 0.995704710483551, 0.9745551347732544, 0.7559800148010254]
+OCCn1cnc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2c[nH]c3ccccc23)C1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4c[nH]c5ccccc45)CC3)nc2c1; ['Brc1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9934867024421692, 0.9450527429580688]
+CNC(=O)c1ccccc1-c1ccc2n[nH]c(C)c2c1; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1I']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9893982410430908, 0.8321874737739563]
+CN(C)c1cc(-c2c[nH]c3ccccc23)cnn1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc2n[nH]c(C)c2c1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9995966553688049, 0.9977549314498901]
+Cc1[nH]nc2ccc(-c3ccccc3S(=O)(=O)C(C)C)cc12; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9846503734588623, 0.7756104469299316]
+O=C(Nc1cccc(-c2c[nH]c3ccccc23)c1)C1CCNCC1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3n[nH]c(C)c3c2)[nH]1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(Cc3cc(F)cc(F)c3)cc12; [None]; [None]; [0]
+CCn1cc(-c2ccc3n[nH]c(C)c3c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9999579191207886, 0.9984694123268127]
+COC(C)(C)CCc1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3ccccc3P(C)(C)=O)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3ccnc4ccccc34)cc12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1ccnc2ccccc12']; [0.998652994632721, 0.9591493606567383]
+Cc1[nH]nc2ccc(-c3ccccc3OC(F)(F)F)cc12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccccc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Br']; [0.9998362064361572, 0.998868465423584, 0.9917879104614258, 0.9386612176895142, 0.9052455425262451]
+Cc1[nH]nc2ccc(-c3cccc(C(F)(F)F)c3)cc12; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'CCCC[Sn](CCCC)(CCCC)c1cccc(C(F)(F)F)c1', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccccc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'Cc1[nH]nc2ccc(Br)cc12', 'FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999434947967529, 0.9996676445007324, 0.997351348400116, 0.9956822395324707, 0.8981386423110962, 0.8839316964149475]
+Cc1[nH]nc2ccc(-c3cnn(Cc4ccccc4)c3)cc12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999711513519287, 0.9991825819015503]
+Cc1[nH]nc2ccc(-c3ccccc3C(=O)[O-])cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3ccccc3C(N)=O)cc12; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1I']; [0.9993146657943726, 0.9950088262557983, 0.9663335084915161]
+Cc1[nH]nc2ccc(-c3ccc4ncn(C)c(=O)c4c3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3csc(C(C)(C)C)n3)cc12; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1', 'CC(C)(C)c1nccs1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9999918341636658, 0.9493938684463501]
+Cc1[nH]nc2ccc(-c3cc(Cl)ccc3Cl)cc12; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(I)c1']; [0.9988157749176025, 0.9958523511886597, 0.9677262306213379]
+Cc1[nH]nc2ccc(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cnn(CCO)c3)cc12; [None]; [None]; [0]
+COc1cnc(-c2ccc3n[nH]c(C)c3c2)nc1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cccc(NC(=O)c4ccccc4)c3)cc12; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Cc1[nH]nc2ccccc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Cc1[nH]nc2ccccc12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9998314380645752, 0.9995466470718384, 0.995480477809906, 0.9869717359542847]
+Cc1nc2ccccn2c1-c1ccc2n[nH]c(C)c2c1; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccccc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1', 'Cc1nc2ccccn2c1C(=O)O']; [0.9999308586120605, 0.9880449771881104, 0.9860185384750366]
+Cc1[nH]nc2ccc(-c3cnc4ccccn34)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1ccn2ccnc2c1']; [0.992645800113678]
+Cc1nc(C)c(-c2ccc3n[nH]c(C)c3c2)s1; ['Cc1[nH]nc2ccc(Br)cc12']; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1']; [0.988070011138916]
+Cc1ccc(-c2ccc3n[nH]c(C)c3c2)c(Br)c1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cnc4cccnn34)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1cnn2ccnc2c1']; [0.9978498220443726]
+Cc1nc(N)sc1-c1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
 Cc1[nH]nc2ccc(-n3ncc4cccc(F)c4c3=O)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(OCC(=O)C(C)C)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3c(Cl)cccc3Cl)cc12; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I']; [0.9793407320976257, 0.9625341892242432]
+Cc1ccc(Cl)c(-c2ccc3n[nH]c(C)c3c2)c1; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1']; [0.9912354946136475, 0.9576420783996582, 0.8369146585464478]
+Cc1[nH]nc2ccc(NCc3cccnc3)cc12; ['BrCc1cccnc1', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1[nH]nc2ccc(N)cc12', 'ClCc1cccnc1', 'O=Cc1cccnc1', 'NCc1cccnc1']; [0.9918200373649597, 0.9794471263885498, 0.9724898338317871, 0.8680465221405029]
+Cc1[nH]nc2ccc(-c3cccc(Br)c3)cc12; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Brc1cccc(I)c1']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1cccc(Br)c1', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9997434616088867, 0.9953081607818604, 0.7606890201568604]
+Cc1[nH]nc2ccc(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccc3n[nH]c(C)c3c2)s1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3ccnc(N)n3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['Nc1nccc(Br)n1']; [0.9975719451904297]
+Cc1[nH]nc2ccc(Nc3cccnc3)cc12; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Brc1cccnc1', 'Cc1[nH]nc2ccc(N)cc12']; ['Nc1cccnc1', 'Clc1cccnc1', 'Cc1[nH]nc2ccc(N)cc12', 'Ic1cccnc1']; [0.9971042275428772, 0.9954648017883301, 0.9922057390213013, 0.9711905717849731]
+Cc1[nH]nc2ccc(NC(=O)c3cccs3)cc12; ['Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12']; ['O=C(O)c1cccs1', 'O=C(Cl)c1cccs1']; [0.999589204788208, 0.9993733167648315]
+Cc1[nH]nc2ccc(NCCc3c[nH]cn3)cc12; ['Cc1[nH]nc2ccc(N)cc12']; ['OCCc1c[nH]cn1']; [0.9937094449996948]
+Cc1[nH]nc2ccc(-c3cnn4ncccc34)cc12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.99996417760849]
+Cc1[nH]nc2ccc(-n3cnc4ccccc43)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1ccc2[nH]cnc2c1']; [0.8658146858215332]
+Cc1[nH]nc2ccc(-c3cccc(CC(=O)[O-])c3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3ccc4ccccc4c3)cc12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)COB(c2ccc3ccccc3c2)OC1', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Brc1ccc2ccccc2c1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Cc1[nH]nc2ccc(Br)cc12']; [0.999953031539917, 0.999503493309021, 0.9991728663444519, 0.9905504584312439, 0.954169511795044]
+Cc1[nH]nc2ccc(NCCc3ccccc3)cc12; ['Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'BrCCc1ccccc1', 'Cc1[nH]nc2ccc(Br)cc12']; ['ClCCc1ccccc1', 'O=CCc1ccccc1', 'OCCc1ccccc1', 'Cc1[nH]nc2ccc(N)cc12', 'NCCc1ccccc1']; [0.9792641401290894, 0.9789141416549683, 0.9727432727813721, 0.9488844871520996, 0.8651719093322754]
+Cc1[nH]nc2ccc(-c3cccc(F)c3C(N)=O)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['NC(=O)c1c(F)cccc1Br']; [0.9834561347961426]
+Cc1[nH]nc2ccc(-c3cncc4ccccc34)cc12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Brc1cncc2ccccc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1cncc2ccccc12', 'Ic1cncc2ccccc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.99996417760849, 0.9990375638008118, 0.9823678731918335, 0.9617884755134583]
 Cc1[nH]nc2ccc(-c3sc(=O)n(C)c3C)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cnn4ncccc34)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(Cc3ncc(C(C)(C)C)o3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3c[nH]nc3C(F)(F)F)cc12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.9990896582603455]
+Cc1[nH]nc2ccc(-c3ccc(-c4cnn(C)c4)cc3)cc12; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; [0.9999963045120239, 0.9352503418922424]
+Cc1[nH]nc2ccc(NCc3ccc(Cl)cc3)cc12; ['Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['OCc1ccc(Cl)cc1', 'Clc1ccc(CBr)cc1', 'O=Cc1ccc(Cl)cc1', 'ClCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9992196559906006, 0.997677206993103, 0.9831385016441345, 0.9806238412857056, 0.7978006601333618]
+Cc1[nH]nc2ccc(-c3ccc4c(N)[nH]nc4c3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.9496809244155884]
+Cc1[nH]nc2ccc(-c3cccc(O)c3)cc12; ['Cc1[nH]nc2ccc(Br)cc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['OB(O)c1cccc(O)c1', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9969088435173035, 0.9957370758056641]
+Cc1[nH]nc2ccc(-c3ccc4c(cnn4C)c3)cc12; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccccc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2ccccc21']; [0.9999977946281433, 0.9999949932098389, 0.9999657869338989, 0.9973340630531311, 0.8230950236320496, 0.8092677593231201]
+Cc1[nH]nc2ccc(Nc3ccncc3)cc12; ['Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Brc1ccncc1', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12']; ['OB(O)c1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Cc1[nH]nc2ccc(N)cc12', 'Nc1ccncc1', 'Ic1ccncc1', 'Clc1ccncc1', 'Fc1ccncc1']; [0.9999583959579468, 0.9959164261817932, 0.9949836730957031, 0.9940636157989502, 0.987358808517456, 0.9871046543121338, 0.9750725626945496]
+Cc1[nH]nc2ccc(-c3cccc(CO)c3)cc12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C']; ['Cc1[nH]nc2ccc(Br)cc12', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'Cc1[nH]nc2ccccc12']; [0.999693751335144, 0.993924081325531, 0.9676591157913208, 0.8479501008987427]
 Cc1[nH]nc2ccc(-c3ccc4c(c3)CS(=O)(=O)N4C)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cn(C(C)C)nn3)cc12; ['CC(C)n1ccnn1']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.9829448461532593]
+Cc1[nH]nc2ccc(-c3ccc(-c4cn[nH]c4)cc3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(NCc3ccccc3F)cc12; ['Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'OCc1ccccc1F', 'O=Cc1ccccc1F', 'NCc1ccccc1F']; [0.9992711544036865, 0.998314380645752, 0.998015284538269, 0.9778367877006531, 0.7783597707748413]
 COc1cc(-c2ccc3n[nH]c(C)c3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cn(C(C)C)nn3)cc12; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3n[nH]c(C)c3c2)n1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cc4ccccc4[nH]3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1ccc2[nH]ccc2c1']; [0.8151548504829407]
+Cc1[nH]nc2ccc(-c3csc4ncncc34)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3csc(N)n3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cnoc3C(C)C)cc12; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3n[nH]c(C)c3c2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.9992945194244385]
+CSc1nc(-c2ccc3n[nH]c(C)c3c2)c[nH]1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3ccc(F)cc3C(F)(F)F)cc12; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1']; [0.9988187551498413, 0.9723623991012573, 0.9670442938804626]
 Cc1[nH]nc2ccc(CCc3c[nH]nn3)cc12; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc4n[nH]c(C)c4c3)cc2s1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cccc(CCC#N)c3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['N#CCCc1cccc(B(O)O)c1']; [0.9989666938781738]
+Cc1[nH]nc2ccc(-c3cncnc3N)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(Oc3ccccn3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(N3CCC(S(C)(=O)=O)CC3)cc12; ['CS(=O)(=O)C1CCNCC1']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.8658964037895203]
+Cc1[nH]nc2ccc(NC(=O)c3c(Cl)cccc3Cl)cc12; ['Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', None, 'COC(=O)c1c(Cl)cccc1Cl', 'Cc1[nH]nc2ccc(N)cc12', 'CCOC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', None, 'Cc1[nH]nc2ccc(N)cc12', 'O=Cc1c(Cl)cccc1Cl', 'Cc1[nH]nc2ccc(N)cc12']; [0.9993338584899902, 0.9966937303543091, 0, 0.957901120185852, 0.9280537366867065, 0.876082181930542]
+CC(=O)Nc1cccc(-c2ccc3n[nH]c(C)c3c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccccc12']; [0.9992194771766663, 0.9931787252426147, 0.7774637341499329]
+Cc1[nH]nc2ccc(CCCC(N)=O)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cn(C)c4ccccc34)cc12; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; [0.9999476671218872, 0.9953152537345886]
+COc1ccc(-c2ccc3n[nH]c(C)c3c2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccccc1Cl']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccccc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9998645782470703, 0.9984244108200073, 0.9881306290626526, 0.8910659551620483, 0.8898487091064453, 0.8030002117156982]
+CCCn1cc(-c2ccc3n[nH]c(C)c3c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.999994695186615, 0.9991541504859924]
+Cc1[nH]nc2ccc(-c3cnn4ccccc34)cc12; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Brc1cnn2ccccc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1cnn2ccccc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9999561309814453, 0.9990566372871399, 0.9147198796272278]
+Cc1[nH]nc2ccc(-c3cc[nH]c(=O)c3)cc12; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.9998776912689209]
 Cc1[nH]nc2ccc(CCNC(=O)CC(C)(C)O)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cccc4c3C(=O)CC4)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['O=C1CCc2cccc(Br)c21']; [0.8387470245361328]
+Cc1[nH]nc2ccc(-c3ccc([S@](C)=O)cc3)cc12; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9990191459655762, 0.9921718835830688]
 Cc1[nH]nc2ccc(OCC(C)(C)S(C)(=O)=O)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(NC(=O)c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3ccc(C(C)(C)N)cc3)cc12; [None]; [None]; [0]
+COc1cc(CCc2ccc3n[nH]c(C)c3c2)cc(OC)c1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
 Cc1[nH]nc2ccc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(O[C@H](C)c3c(Cl)cncc3Cl)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(Nc3cnccc3-c3ccccc3)cc12; [None]; [None]; [0]
+CCN(CC)c1ccc2n[nH]c(C)c2c1; [None, None, None]; [None, None, None]; [0, 0, 0]
+Cc1[nH]nc2ccc(O[C@H](C)c3c(Cl)cncc3Cl)cc12; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.999510645866394]
+COc1ccncc1Nc1ccc2n[nH]c(C)c2c1; ['COc1ccncc1Br', 'COc1ccncc1I', 'COc1ccncc1Cl', 'COc1ccncc1N']; ['Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9996225833892822, 0.9993665218353271, 0.999131977558136, 0.997182309627533]
+Cc1[nH]nc2ccc(-c3cc4c(=O)[nH]ccc4o3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(Nc3cnccc3-c3ccccc3)cc12; ['Brc1cnccc1-c1ccccc1', 'Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1[nH]nc2ccc(N)cc12', 'OB(O)c1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.9995843172073364, 0.9995536208152771, 0.997901976108551]
 Cc1[nH]nc2ccc(-c3cc4c(=O)[nH]cc(Br)c4s3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cncc(OC(C)C)c3)cc12; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9999986886978149, 0.9999821186065674, 0.9991762638092041]
+Cc1[nH]nc2ccc(Nc3cnc4ccccc4c3)cc12; ['Cc1[nH]nc2ccc(N)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Brc1cnc2ccccc2c1', 'Cc1[nH]nc2ccc(N)cc12']; ['Ic1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Cc1[nH]nc2ccc(N)cc12', 'Clc1cnc2ccccc2c1']; [0.9978269338607788, 0.997392475605011, 0.9956650733947754, 0.9930736422538757]
+Cc1[nH]nc2ccc(-c3ccc(C(C)(C)C)cc3)cc12; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9999699592590332, 0.9987689256668091, 0.9753895998001099, 0.8453339338302612]
+COc1cccc(F)c1-c1ccc2n[nH]c(C)c2c1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9998655319213867, 0.9979304075241089, 0.9960435032844543, 0.9571606516838074, 0.8266439437866211]
+Cc1[nH]nc2ccc(-c3c[nH]c4cnccc34)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cnc4[nH]ccc4c3)cc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Brc1cnc2[nH]ccc2c1']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1cnc2[nH]ccc2c1', 'Cc1[nH]nc2ccc(Br)cc12']; [1.0, 0.9999473094940186, 0.9997068047523499]
+Cc1[nH]nc2ccc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)cc12; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9998210072517395, 0.9969683885574341]
+CNS(=O)(=O)c1ccc(-c2ccc3n[nH]c(C)c3c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9992645382881165, 0.9912997484207153]
+Cc1[nH]nc2ccc(-c3ccc(S(C)(=O)=O)cc3)cc12; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9998778104782104, 0.9991765022277832]
+Cc1[nH]nc2ccc(-c3ccc(N4CCOCC4)cc3)cc12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Brc1ccc(N2CCOCC2)cc1']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9999969005584717, 0.9999726414680481, 0.998055100440979, 0.9751162528991699]
+CNC(=O)c1c(F)cccc1-c1ccc2n[nH]c(C)c2c1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(C3(C)CCN(S(C)(=O)=O)CC3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-n3ccc(CO)n3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OCc1cc[nH]n1']; [0.9928837418556213]
+Cc1[nH]nc2ccc(N[C@H](C)C(C)(C)O)cc12; ['C[C@@H](N)C(C)(C)O']; ['Cc1[nH]nc2ccc(N)cc12']; [0.9582586288452148]
+Cc1cc(-c2ccc3n[nH]c(C)c3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 Cc1[nH]nc2ccc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(N[C@@H](C)C(C)(C)O)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-n3cnc(CCO)c3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['OCCc1c[nH]cn1']; [0.8164913654327393]
+Cc1[nH]nc2ccc(-c3c(F)cccc3Cl)cc12; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Br']; [0.9996248483657837, 0.9930555820465088, 0.9610000848770142, 0.8088052272796631]
 Cc1[nH]nc2ccc(N[C@@H](C)C(=O)NCC(F)(F)F)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-n3ncc4c(O)cccc43)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['Oc1cccc2[nH]ncc12']; [0.9428656101226807]
+Cc1[nH]nc2ccc(-n3ncc4ccccc43)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
+COc1ccc(-c2ccc3n[nH]c(C)c3c2)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9984349012374878, 0.9965648651123047, 0.9622974395751953]
+Cc1[nH]nc2ccc(-c3ccc(C(=O)c4ccccc4)cc3)cc12; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccccc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Cc1[nH]nc2ccccc12', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9999691247940063, 0.9994450807571411, 0.9947894811630249, 0.9564058780670166, 0.9016283750534058]
+Cc1[nH]nc2ccc(-c3nc4ccc(O)cc4[nH]3)cc12; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc3n[nH]c(C)c3c2)[nH]1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3nncn3C(C)C)cc12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3n[nH]c(C)c3c2)CC1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2ccc(-c3ccn(CC[NH3+])n3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(Cc3nnc4ccc(-c5ccccc5)nn34)cc12; [None]; [None]; [0]
+CCc1cc(-c2ccc3n[nH]c(C)c3c2)nc(N)n1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cn(Cc4ccccc4)nn3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1ccc(Cn2ccnn2)cc1']; [0.9763690233230591]
+Cc1[nH]nc2ccc(CCC(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2ccc(CS(=O)(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3nnc(N)s3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(Cc3nnc4ccc(-c5ccccc5)nn34)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cccc(C(C)(C)O)n3)cc12; ['CC(C)(O)c1cccc(Br)n1']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.9270396828651428]
+CNC(=O)c1ccc(-c2ccc3n[nH]c(C)c3c2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2ccc3n[nH]c(C)c3c2)nc(N)n1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cncc(N)n3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['Nc1cncc(Br)n1']; [0.8316419124603271]
+Cc1[nH]nc2ccc(-c3nc4ccccc4s3)cc12; ['Cc1[nH]nc2ccc(Br)cc12', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1nc2ccccc2s1']; ['c1ccc2scnc2c1', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9925265908241272, 0.9375870227813721, 0.8985419273376465]
 Cc1[nH]nc2ccc(-c3cc(C(N)=O)cn3C)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cccc4ccsc34)cc12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'OB(O)c1cccc2ccsc12']; [0.9999834299087524, 0.983857274055481]
 Cc1[nH]nc2ccc(Oc3ccc(C[NH3+])cc3F)cc12; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4n[nH]c(C)c4c3)c2)cc1; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)cc12; [None]; [None]; [0]
-COc1ccc(Oc2ccc3n[nH]c(C)c3c2)c(F)c1F; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccc4nnsc34)cc12; [None]; [None]; [0]
-Cc1[nH]nc2ccc(-c3cccc(C(C)(C)O)n3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3cccc4nnsc34)cc12; ['Brc1cccc2nnsc12']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.778676450252533]
+C[C@@H2]NC(=O)N1CCC(c2ccc3n[nH]c(C)c3c2)CC1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3nc(N)c4ccccc4n3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3ncc4ccccc4n3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1ccc2ncncc2c1']; [0.979357123374939]
+Cc1[nH]nc2ccc(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc3n[nH]c(C)c3c2)[nH]1; [None]; [None]; [0]
+Cc1[nH]nc2ccc(-c3c[nH]c4cccnc34)cc12; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Cc1[nH]nc2ccc(Br)cc12']; ['Cc1[nH]nc2ccc(Br)cc12', 'Ic1c[nH]c2cccnc12']; [0.9963289499282837, 0.9924321174621582]
+COc1ccc(Oc2ccc3n[nH]c(C)c3c2)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.9661399126052856]
+COc1ccc(C#N)cc1-c1ccc2n[nH]c(C)c2c1; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccccc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccccc12']; [0.9995929598808289, 0.9995368123054504, 0.9994083642959595, 0.9906491637229919, 0.9243439435958862, 0.8604767322540283]
+COc1ccc(OC)c(-c2ccc3n[nH]c(C)c3c2)c1; ['COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)c(I)c1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccccc12']; [0.9988337159156799, 0.9955675601959229, 0.9942080974578857, 0.93894362449646, 0.7829121351242065, 0.7534332275390625]
+Cc1[nH]nc2ccc(-c3cn(CCO)cn3)cc12; [None]; [None]; [0]
+COc1ncccc1-c1ccc2n[nH]c(C)c2c1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1Cl', 'COc1ncccc1Br']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.999927282333374, 0.996849536895752, 0.9967533946037292, 0.9888001084327698, 0.9769291877746582, 0.9536923170089722]
+Cc1[nH]nc2ccc(-c3cccc(S(=O)(=O)N(C)C)c3)cc12; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12', 'Cc1[nH]nc2ccc(Br)cc12']; [0.9999735355377197, 0.9998412728309631, 0.9290911555290222]
+Cc1[nH]nc2ccc([C@H]3CC[C@@](C)(O)CC3)cc12; [None]; [None]; [0]
+CCOc1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(N=C=S)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(Br)cc1']; ['Nc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9966661930084229, 0.9957118630409241, 0.991267204284668, 0.989152193069458, 0.975124180316925]
+Cc1[nH]nc2ccc(N3CC=C(c4c[nH]c5ccccc45)CC3)cc12; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Cc1[nH]nc2ccc(Br)cc12']; [0.9999263286590576]
+CC(=O)N(C)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['Brc1nc2ccccc2[nH]1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['CC(=O)N(C)c1ccc(N)cc1', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CCSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.996397078037262, 0.9962893128395081, 0.9955387115478516, 0.9712709784507751, 0.9120578765869141]
+Cc1[nH]nc2ccc(N3CCC(c4nc5ccccc5[nH]4)CC3)cc12; ['Cc1[nH]nc2ccc(Br)cc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9986555576324463]
+c1ccc2nc(Nc3nc4ccccc4[nH]3)ncc2c1; ['Clc1ncc2ccccc2n1', 'Brc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Brc1ncc2ccccc2n1', 'CSc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1nc2ccccc2[nH]1', 'Nc1ncc2ccccc2n1']; [0.9998782873153687, 0.9998094439506531, 0.9997157454490662, 0.9995539784431458, 0.9993916153907776, 0.9991762638092041, 0.9942208528518677]
 Cc1[nH]nc2ccc(-c3cccc(NC(=O)C4CCNCC4)c3)cc12; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(Nc3ncc4ccccc4n3)cc2C1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(Nc3ncc4ccccc4n3)cc2)CC1; [None]; [None]; [0]
-CC(C)c1cc(Nc2ncc3ccccc3n2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(Nc3ncc4ccccc4n3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2ncc3ccccc3n2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(Nc3ncc4ccccc4n3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-Nc1cc(Nc2ncc3ccccc3n2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(Nc2ncc3ccccc3n2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(Nc1ncc3ccccc3n1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NNc2ncc3ccccc3n2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(Nc3ncc4ccccc4n3)[nH]c2c1; [None]; [None]; [0]
-c1ccc2nc(Nc3ncn4c3CCCC4)ncc2c1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(Nc3ncc4ccccc4n3)cn2)CC1; [None]; [None]; [0]
-O=C(NNc1ncc2ccccc2n1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(Nc3ncc4ccccc4n3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
-Cn1nc(Nc2ncc3ccccc3n2)cc1C(C)(C)O; [None]; [None]; [0]
-Oc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-c1cc(-c2cnc3occc3c2)c2cccnc2c1; [None]; [None]; [0]
-CCc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-Oc1cc(-c2cnc3occc3c2)ccc1Cl; [None]; [None]; [0]
-c1ccc2c(-c3cnc4occc4c3)n[nH]c2c1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-Cn1c(-c2cnc3occc3c2)nc2ccccc21; [None]; [None]; [0]
-Clc1cccc(Cl)c1-c1cnc2occc2c1; [None]; [None]; [0]
-Fc1ccc(Oc2cnc3occc3c2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3occc3c2)c(F)c1; [None]; [None]; [0]
-Oc1ccc(-c2cnc3occc3c2)c(Cl)c1; [None]; [None]; [0]
-Nc1nccc(-c2cnc3occc3c2)n1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Nc2nc3ccccc3[nH]2)c1; ['CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(N)c1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; [0.9988109469413757, 0.9928848743438721, 0.9921243190765381, 0.9900579452514648, 0.888645350933075]
+COc1ncccc1Nc1nc2ccccc2[nH]1; ['COc1ncccc1N', 'COc1ncccc1B(O)O', 'Brc1nc2ccccc2[nH]1', 'COc1ncccc1N', 'COc1ncccc1I', 'COc1ncccc1N', 'COc1ncccc1Br']; ['Ic1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'COc1ncccc1N', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9984161853790283, 0.9977629780769348, 0.9968119859695435, 0.9959537386894226, 0.9910022020339966, 0.9842100143432617, 0.9247597455978394]
+COc1cc(Nc2nc3ccccc3[nH]2)cc(OC)c1OC; ['COc1cc(N=C=S)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC']; ['Nc1ccccc1N', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; [0.9989843964576721, 0.9971535205841064, 0.9965230226516724, 0.9951083660125732, 0.9945914149284363, 0.9920240640640259, 0.9907156229019165]
+c1ccc2[nH]c(Nc3cnc4cccnn34)nc2c1; ['Clc1nc2ccccc2[nH]1', 'Clc1cnc2cccnn12']; ['Nc1cnc2cccnn12', 'Nc1nc2ccccc2[nH]1']; [0.9992276430130005, 0.9976101517677307]
+Cc1[nH]nc2ccc(-c3cnnc(N(C)C)c3)cc12; [None]; [None]; [0]
+Oc1cccc(Nc2nc3ccccc3[nH]2)c1; ['Nc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; ['OB(O)c1cccc(O)c1', 'Nc1cccc(O)c1', 'Nc1cccc(O)c1', 'Oc1cccc(Br)c1', 'Nc1cccc(O)c1', 'Nc1cccc(O)c1']; [0.9985581636428833, 0.9979382157325745, 0.9845583438873291, 0.970470666885376, 0.9687505960464478, 0.8316277265548706]
+COc1ccc(Nc2nc3ccccc3[nH]2)cc1; ['COc1ccc(N=C=S)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(Br)cc1']; ['Nc1ccccc1N', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9984641075134277, 0.996422290802002, 0.9953780174255371, 0.9873303771018982, 0.9613498449325562]
+c1ccc2[nH]c(Nc3nc4ccccc4[nH]3)nc2c1; ['Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9212251901626587, 0.8954399228096008, 0.7682427167892456]
+c1ccc2[nH]c(Nc3ccc(N4CCOCC4)cc3)nc2c1; ['Nc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Brc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Ic1ccc(N2CCOCC2)cc1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(Nc2nc3ccccc3[nH]2)cc1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'S=C=Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1nc2ccccc2[nH]1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1nc2ccccc2[nH]1', 'C1COCCN1']; [0.999941885471344, 0.9994769096374512, 0.9993151426315308, 0.9989944696426392, 0.9985448122024536, 0.9977036714553833, 0.9929806590080261, 0.9928643703460693, 0.9760057330131531]
+O=C(Nc1cccc(Nc2nc3ccccc3[nH]2)c1)C1CC1; ['Clc1nc2ccccc2[nH]1']; ['Nc1cccc(NC(=O)C2CC2)c1']; [0.9997096061706543]
+O=C([O-])c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['Clc1nc2ccccc2[nH]1']; ['Nc1ccc(C(=O)[O-])cc1']; [0.9077527523040771]
+Cc1nc(C(C)(C)O)sc1Nc1nc2ccccc2[nH]1; [None]; [None]; [0]
+N#Cc1ccc(O)c(Nc2nc3ccccc3[nH]2)c1; ['N#Cc1ccc(O)c(I)c1', 'Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'N#Cc1ccc(O)c(Cl)c1', 'CSc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'Nc1nc2ccccc2[nH]1', 'N#Cc1ccc(O)c(N)c1']; [0.981144905090332, 0.9722639322280884, 0.9665032625198364, 0.9535483121871948, 0.8094171285629272]
+Cc1ccc2ncn(Nc3nc4ccccc4[nH]3)c2c1; [None]; [None]; [0]
+NC(=O)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['Clc1nc2ccccc2[nH]1', 'NC(=O)c1ccc(I)cc1', 'CSc1nc2ccccc2[nH]1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Cl)cc1']; ['NC(=O)c1ccc(N)cc1', 'Nc1nc2ccccc2[nH]1', 'NC(=O)c1ccc(N)cc1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9967060089111328, 0.9933518171310425, 0.9897788763046265, 0.9730432033538818, 0.9331510066986084]
+c1ccc2c(Nc3nc4ccccc4[nH]3)nccc2c1; ['Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'Brc1nccc2ccccc12', 'Clc1nccc2ccccc12', 'CSc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; ['Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nccc2ccccc12', 'Nc1nccc2ccccc12']; [0.9963060617446899, 0.992823600769043, 0.9796587824821472, 0.9702582359313965, 0.9540581107139587, 0.946679949760437]
+CC(=O)N1CCN(C(=O)Cc2ccc(Nc3nc4ccccc4[nH]3)cc2)CC1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(Nc2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+c1cnc(NNc2nc3ccccc3[nH]2)nc1; [None]; [None]; [0]
+O=C(c1ccc(Nc2nc3ccccc3[nH]2)nc1)N1CCOCC1; ['Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cn1']; [0.9999351501464844, 0.9996601343154907]
+OCCOc1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CSc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Brc1ccc(Nc2nc3ccccc3[nH]2)cc1']; ['Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1', 'OCCOc1ccc(Br)cc1', 'Nc1ccc(OCCO)cc1', 'OCCO']; [0.9984566569328308, 0.9936316013336182, 0.9910772442817688, 0.9842674136161804, 0.9235339760780334]
+CC(=O)NCc1ccc(Nc2nc3ccccc3[nH]2)cc1; ['Brc1nc2ccccc2[nH]1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(N)cc1']; ['CC(=O)NCc1ccc(N)cc1', 'Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; [0.9976563453674316, 0.9947344660758972, 0.8942091464996338]
+O=C(c1ccc(Nc2nc3ccccc3[nH]2)cc1)N1CCOCC1; ['Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cc1']; [0.9999604225158691, 0.9998270273208618, 0.9998223781585693, 0.9997745156288147, 0.9960633516311646, 0.9842486381530762]
+CNS(=O)(=O)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CNS(=O)(=O)c1ccc(N=C=S)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9905977845191956, 0.9783041477203369, 0.9636468887329102, 0.8708751201629639]
+FC(F)(F)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['Nc1nc2ccccc2[nH]1', 'FC(F)(F)c1ccc(N=C=S)cc1', 'Clc1nc2ccccc2[nH]1']; ['OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccccc1N', 'Nc1ccc(C(F)(F)F)cc1']; [0.9993444681167603, 0.9992169737815857, 0.9951897859573364]
+c1cc(Nc2nc3ccccc3[nH]2)cc(C2CCNCC2)c1; ['CC(C)(C)OC(=O)N1CCC(c2cccc(N)c2)CC1', 'Brc1cccc(C2CCNCC2)c1', 'Clc1nc2ccccc2[nH]1']; ['Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1cccc(C2CCNCC2)c1']; [0.999971866607666, 0.9996604919433594, 0.9979799389839172]
+CN(C)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CN(C)c1ccc(N=C=S)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(N)cc1']; ['Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; [0.9990452527999878, 0.9985038042068481, 0.9971817135810852, 0.9958842992782593]
+N#Cc1cccc(Cn2cc(Nc3nc4ccccc4[nH]3)cn2)c1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(Nc2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+Oc1ccccc1CNc1nc2ccccc2[nH]1; ['NCc1ccccc1O', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; ['O=S(=O)(O)c1nc2ccccc2[nH]1', 'NCc1ccccc1O', 'NCc1ccccc1O', 'O=Cc1ccccc1O']; [0.9975776076316833, 0.990946352481842, 0.9639073610305786, 0.943938672542572]
+CN(C)S(=O)(=O)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1']; ['Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; [0.9990148544311523, 0.9961188435554504, 0.9670159816741943]
+C[C@H](O)COc1ccc(Nc2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(Nc3nc4ccccc4[nH]3)cc2C1; ['Brc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; ['Nc1ccc2c(c1)CS(=O)(=O)C2', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2']; [0.9992570281028748, 0.9988985657691956, 0.9976246356964111, 0.979007363319397, 0.866941511631012]
+Cc1nc(C)c(Nc2nc3ccccc3[nH]2)s1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CCNS(=O)(=O)c1ccc(N=C=S)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccccc1N', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9962490200996399, 0.963558554649353, 0.9235750436782837, 0.8318240642547607]
+CC(C)c1cc(Nc2nc3ccccc3[nH]2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Nc1nc2ccccc2[nH]1']; [0.9894957542419434]
+CS(=O)(=O)N1CCC(Nc2nc3ccccc3[nH]2)CC1; ['CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(=O)CC1', 'Brc1nc2ccccc2[nH]1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CCS(=O)(=O)c1nc2ccccc2[nH]1', 'CCSc1nc2ccccc2[nH]1']; ['Ic1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1']; [0.9996432065963745, 0.9989990592002869, 0.9978821277618408, 0.9973922967910767, 0.9956764578819275, 0.995392918586731, 0.9786167144775391, 0.9762840270996094]
+O=C(c1ccccc1)N1CC[C@H](Nc2nc3ccccc3[nH]2)C1; [None]; [None]; [0]
+Brc1ccc(Nc2nc3ccccc3[nH]2)cc1; ['Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; ['S=C=Nc1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1']; [0.998461902141571, 0.9965640306472778, 0.9948466420173645]
+CC(=O)N1CCCN(c2cccc(Nc3nc4ccccc4[nH]3)c2)CC1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2nc3ccccc3[nH]2)cc1Cl; ['Brc1nc2ccccc2[nH]1', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(N)cc1Cl']; ['CN(C)c1ccc(N)cc1Cl', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; [0.9998717308044434, 0.9984540939331055, 0.996443510055542, 0.99169921875]
+Nc1ncc(CNc2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
+CCCOc1ccc(Nc2nc3ccccc3[nH]2)nc1; ['CCCOc1ccc(Br)nc1']; ['Nc1nc2ccccc2[nH]1']; [0.9941879510879517]
+CNS(=O)(=O)c1ccc(Nc2nc3ccccc3[nH]2)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1nc2ccccc2[nH]1']; [0.9907857179641724]
+c1ccc2[nH]c(Nc3ccn4nccc4n3)nc2c1; ['Clc1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'Brc1ccn2nccc2n1', 'Clc1ccn2nccc2n1', 'CCSc1nc2ccccc2[nH]1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1ccn2nccc2n1']; [0.999945342540741, 0.999944806098938, 0.9999061822891235, 0.9995346069335938, 0.9984204769134521, 0.9746096134185791]
+COc1ccc(Cl)cc1Nc1nc2ccccc2[nH]1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1N=C=S', 'COc1ccc(Cl)cc1N']; ['Nc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1']; [0.9998501539230347, 0.9996373653411865, 0.99885493516922]
+CCN(CC)C(=O)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['Brc1nc2ccccc2[nH]1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1']; ['CCN(CC)C(=O)c1ccc(N)cc1', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; [0.9991810321807861, 0.9987995624542236, 0.9982730746269226, 0.9976164698600769, 0.9975200891494751, 0.9867491722106934, 0.9612501859664917]
+COc1cc(OC)c(Nc2nc3ccccc3[nH]2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(N=C=S)cc1Cl', 'Brc1nc2ccccc2[nH]1', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Cl)cc1N']; ['CS(=O)(=O)c1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'COc1cc(OC)c(Cl)cc1N', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; [0.9994217157363892, 0.9966676235198975, 0.9963700771331787, 0.9963693618774414, 0.9918433427810669, 0.9553161859512329]
+Cc1c(Nc2nc3ccccc3[nH]2)cccc1C(=O)[O-]; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3c[nH]c4ccccc34)nc2c1; ['Brc1c[nH]c2ccccc12', 'Brc1nc2ccccc2[nH]1', 'Ic1c[nH]c2ccccc12', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1c[nH]c2ccccc12', 'Nc1nc2ccccc2[nH]1', 'Nc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12']; [0.9494937658309937, 0.9455548524856567, 0.9187718629837036, 0.9059452414512634, 0.8971469402313232, 0.887799859046936, 0.8019829988479614]
+c1ccc(-c2cc(Nc3nc4ccccc4[nH]3)n[nH]2)cc1; ['Clc1nc2ccccc2[nH]1']; ['Nc1cc(-c2ccccc2)[nH]n1']; [0.8601083755493164]
+c1ccc2[nH]c(Nc3ccc4c(c3)CCO4)nc2c1; ['Brc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Brc1ccc2c(c1)CCO2', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Ic1ccc2c(c1)CCO2', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['Nc1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1nc2ccccc2[nH]1', 'Nc1ccc2c(c1)CCO2', 'Nc1nc2ccccc2[nH]1', 'Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2']; [0.9997568726539612, 0.9990701079368591, 0.99847012758255, 0.9973366260528564, 0.9954213500022888, 0.9944375157356262, 0.9870535135269165]
+COc1cc(C(=O)N2CCOCC2)ccc1Nc1nc2ccccc2[nH]1; ['COc1cc(C(=O)N2CCOCC2)ccc1N']; ['Clc1nc2ccccc2[nH]1']; [0.9997680187225342]
+COc1cc(Nc2nc3ccccc3[nH]2)ccc1O; ['COc1cc(B(O)O)ccc1O', 'Brc1nc2ccccc2[nH]1', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1O']; ['Nc1nc2ccccc2[nH]1', 'COc1cc(N)ccc1O', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; [0.9995326995849609, 0.9979718923568726, 0.9978194236755371, 0.9953353404998779, 0.9948973655700684, 0.9917722344398499]
+CC(=O)Nc1cccc(Nc2nc3ccccc3[nH]2)c1; ['Brc1nc2ccccc2[nH]1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1']; ['CC(=O)Nc1cccc(N)c1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; [0.9981780052185059, 0.9968794584274292, 0.9806921482086182, 0.9805121421813965, 0.9755423069000244, 0.8433271050453186]
+c1ccc(-n2cccn2)c(Nc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+c1cc(Nc2nc3ccccc3[nH]2)c2c(c1)OCO2; ['Ic1cccc2c1OCO2', 'Nc1nc2ccccc2[nH]1', 'Brc1cccc2c1OCO2', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'OB(O)c1cccc2c1OCO2', 'Nc1nc2ccccc2[nH]1', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2', 'Nc1cccc2c1OCO2']; [0.984266996383667, 0.9798250794410706, 0.9768854379653931, 0.9445738792419434, 0.9442561864852905, 0.9294428825378418]
+CC(C)c1ccc2nc(Nc3nc4ccccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+Fc1ccc2nc(CNc3nc4ccccc4[nH]3)[nH]c2c1F; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2nc3ccccc3[nH]2)cn1; ['Brc1nc2ccccc2[nH]1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1']; ['CC(C)(C)c1ccc(N)cn1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; [0.9991118311882019, 0.9969730377197266, 0.9949449300765991, 0.9937618970870972, 0.99270099401474]
+CC(C)(C)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1', 'Brc1nc2ccccc2[nH]1', 'CC(C)(C)c1ccc(N=C=S)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Nc1nc2ccccc2[nH]1', 'CC(C)(C)c1ccc(N)cc1', 'Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9997028708457947, 0.9996271133422852, 0.9992444515228271, 0.9985013008117676, 0.99809730052948, 0.9957396984100342, 0.9955767393112183, 0.9928295016288757]
+CN(C)C(=O)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'Brc1nc2ccccc2[nH]1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1']; ['Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CN(C)C(=O)c1ccc(N)cc1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9995858669281006, 0.9989562630653381, 0.9987514615058899, 0.998389482498169, 0.9969742298126221, 0.9859360456466675, 0.9665635824203491, 0.9440377950668335]
+c1ccc2ncc(Nc3nc4ccccc4[nH]3)cc2c1; ['Brc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', 'Fc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'CCSc1nc2ccccc2[nH]1', 'Ic1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1cnc2ccccc2c1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.999118447303772, 0.9958250522613525, 0.9956941604614258, 0.9894281029701233, 0.9852675199508667, 0.984703779220581, 0.9745224118232727, 0.9621363878250122, 0.9374182224273682, 0.9158040881156921, 0.8493130207061768]
+c1ccc2[nH]c(CNc3nc4ccccc4[nH]3)nc2c1; ['CS(=O)(=O)c1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'ClCc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'BrCc1nc2ccccc2[nH]1']; ['NCc1nc2ccccc2[nH]1', 'O=S(=O)(O)c1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1', 'O=Cc1nc2ccccc2[nH]1', 'O=S(=O)(Cc1ccccc1)c1nc2ccccc2[nH]1', 'OCc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9972692131996155, 0.9935053586959839, 0.9924464821815491, 0.9916906356811523, 0.9903836250305176, 0.9900585412979126, 0.9809004068374634, 0.9643436074256897, 0.9086138010025024, 0.9019728302955627]
+Cc1ccc(Nc2nc3ccccc3[nH]2)c(=O)[nH]1; ['Cc1ccc(N)c(=O)[nH]1']; ['Clc1nc2ccccc2[nH]1']; [0.8395693302154541]
+Nc1nc(Nc2nc3ccccc3[nH]2)cs1; ['NC(N)=S', 'Clc1nc2ccccc2[nH]1']; ['O=C(CCl)Nc1nc2ccccc2[nH]1', 'Nc1csc(N)n1']; [0.9617741107940674, 0.9474216103553772]
+Fc1ccc2[nH]c(CNc3nc4ccccc4[nH]3)nc2c1F; [None]; [None]; [0]
+COc1cccc(C(=O)NNc2nc3ccccc3[nH]2)c1; ['COc1cccc(C(=O)O)c1', 'COc1cccc(C(=O)Cl)c1']; ['NNc1nc2ccccc2[nH]1', 'NNc1nc2ccccc2[nH]1']; [0.9998749494552612, 0.99969482421875]
+c1ccc(CCCNc2nc3ccccc3[nH]2)cc1; ['Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'NCCCc1ccccc1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'NCCCc1ccccc1', 'ClCCCc1ccccc1', 'BrCCCc1ccccc1']; ['S=C=NCCCc1ccccc1', 'NCCCc1ccccc1', 'NCCCc1ccccc1', 'O=S(=O)(O)c1nc2ccccc2[nH]1', 'NCCCc1ccccc1', 'O=CCCc1ccccc1', 'NCCCc1ccccc1', 'O=S(=O)(Cc1ccccc1)c1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9993966817855835, 0.9981759786605835, 0.9976688623428345, 0.9951013326644897, 0.9922460913658142, 0.9916398525238037, 0.9866319894790649, 0.9666807055473328, 0.9615123271942139, 0.9455377459526062]
+c1ccc2sc(Nc3nc4ccccc4[nH]3)cc2c1; ['Clc1nc2ccccc2[nH]1']; ['Nc1cc2ccccc2s1']; [0.9916285276412964]
+CSc1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CSc1ccc(B(O)O)cc1', 'CSc1ccc(N=C=S)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(N)cc1']; ['Nc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; [0.9971956014633179, 0.9951414465904236, 0.989793062210083, 0.9075443744659424]
+CC[C@@H](CO)Nc1nc2ccccc2[nH]1; ['CC[C@H](N)CO']; ['Clc1nc2ccccc2[nH]1']; [0.9673055410385132]
+c1ccc2[nH]c(Nc3scc4c3OCCO4)nc2c1; [None]; [None]; [0]
+Cc1cc(Nc2nc3ccccc3[nH]2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1', 'Brc1nc2ccccc2[nH]1', 'Cc1cc(N)nc(N)n1']; ['Nc1nc2ccccc2[nH]1', 'Cc1cc(N)nc(N)n1', 'Clc1nc2ccccc2[nH]1']; [0.9893233776092529, 0.9421977996826172, 0.7509521245956421]
+Fc1ccc(Nc2nc3ccccc3[nH]2)c(Cl)c1; ['Fc1ccc(N=C=S)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'Nc1nc2ccccc2[nH]1', 'Fc1ccc(I)c(Cl)c1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['Nc1ccccc1N', 'Nc1nc2ccccc2[nH]1', 'OB(O)c1ccc(F)cc1Cl', 'Nc1nc2ccccc2[nH]1', 'Nc1ccc(F)cc1Cl', 'Nc1ccc(F)cc1Cl']; [0.999841570854187, 0.9998031854629517, 0.9997597932815552, 0.9986833930015564, 0.9922162294387817, 0.990527868270874]
+CC(=O)N[C@@H]1CC[C@@H](Nc2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)Nc1nc2ccccc2[nH]1; ['Brc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'N[C@H](CO)Cc1ccccc1']; ['N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'O=S(=O)(Cc1ccccc1)c1nc2ccccc2[nH]1']; [0.9884439706802368, 0.9691036939620972, 0.8793984055519104, 0.8589105606079102]
+CCc1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CCc1ccc(N=C=S)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(N)cc1']; ['Nc1ccccc1N', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; [0.9994845390319824, 0.997671902179718, 0.9903147220611572]
+CCN1CCN(Cc2ccc(Nc3nc4ccccc4[nH]3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1']; ['CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; [0.9782177805900574, 0.932215690612793]
+COc1ccc(Nc2nc3ccccc3[nH]2)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(N=C=S)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(I)cc1OC']; ['Nc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9995357990264893, 0.9993970394134521, 0.9990976452827454, 0.9974889755249023, 0.996834397315979, 0.9961791038513184]
+Clc1cccc(-n2ccc(Nc3nc4ccccc4[nH]3)n2)c1; [None]; [None]; [0]
+c1ccc2[nH]c(NCCCn3cncn3)nc2c1; ['NCCCn1cncn1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['O=S(=O)(O)c1nc2ccccc2[nH]1', 'NCCCn1cncn1', 'NCCCn1cncn1']; [0.9984046220779419, 0.9938514232635498, 0.9912062883377075]
+Clc1ccc(Nc2nc3ccccc3[nH]2)c(Cl)c1; ['Nc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Clc1ccc(Br)c(Cl)c1', 'Brc1nc2ccccc2[nH]1', 'Clc1ccc(I)c(Cl)c1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['OB(O)c1ccc(Cl)cc1Cl', 'S=C=Nc1ccc(Cl)cc1Cl', 'Nc1nc2ccccc2[nH]1', 'Nc1ccc(Cl)cc1Cl', 'Nc1nc2ccccc2[nH]1', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl']; [0.9993565082550049, 0.9989337921142578, 0.9982739686965942, 0.9979342222213745, 0.9952911138534546, 0.9856403470039368, 0.9703231453895569]
+O=C1CCc2cc(Nc3nc4ccccc4[nH]3)ccc2N1; ['Brc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; ['Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(Cl)ccc2N1']; [0.9989613890647888, 0.9935551881790161, 0.9935472011566162, 0.9900413751602173, 0.9897911548614502, 0.9860838651657104, 0.9076074361801147]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3cc4ccccn4n3)nc2c1; ['Clc1cc2ccccn2n1', 'Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1', 'Nc1cc2ccccn2n1']; [0.9538811445236206, 0.9311730861663818, 0.9231346249580383, 0.863425612449646]
+COc1cc(Nc2nc3ccccc3[nH]2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'Brc1nc2ccccc2[nH]1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'COc1cc(N)ccc1N1CCOCC1', 'Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; [0.9999409317970276, 0.9998207092285156, 0.9997998476028442, 0.9994159936904907, 0.9992784261703491, 0.9992028474807739]
+Cn1cc(Nc2nc3ccccc3[nH]2)c(C(F)(F)F)n1; ['Cn1cc(I)c(C(F)(F)F)n1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Brc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Nc1nc2ccccc2[nH]1', 'Cn1cc(N)c(C(F)(F)F)n1']; [0.9998048543930054, 0.9996515512466431, 0.9992645382881165, 0.9990594387054443, 0.9985246658325195]
+c1ccc2[nH]c(Nc3ncc4cccn4n3)nc2c1; ['Clc1ncc2cccn2n1']; ['Nc1nc2ccccc2[nH]1']; [0.9981226921081543]
+COc1cc(F)c(Nc2nc3ccccc3[nH]2)cc1OC; ['COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.988921046257019, 0.9765746593475342]
+COc1cc(Nc2nc3ccccc3[nH]2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(N)ccc1Cl']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; [0.9997375011444092, 0.9996249675750732, 0.9985358715057373, 0.9984594583511353, 0.9981231689453125]
+COc1ccc2cccc(Nc3nc4ccccc4[nH]3)c2c1; ['COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(N)c2c1']; ['CS(=O)(=O)c1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; [0.9987003803253174, 0.9946134090423584, 0.9867860078811646, 0.9816579818725586]
+Oc1ccc2cccc(Nc3nc4ccccc4[nH]3)c2c1; ['Brc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['Nc1cccc2ccc(O)cc12', 'Oc1ccc2cccc(Br)c2c1', 'Nc1cccc2ccc(O)cc12', 'Oc1ccc2cccc(I)c2c1', 'Nc1cccc2ccc(O)cc12']; [0.9967879056930542, 0.9759747385978699, 0.9718413352966309, 0.9697753190994263, 0.9114927053451538]
+Clc1cnc(Nc2nc3ccccc3[nH]2)nc1; ['Clc1cnc(Br)nc1', 'Clc1cnc(I)nc1', 'CS(=O)(=O)c1ncc(Cl)cn1', 'CS(=O)c1ncc(Cl)cn1', 'Clc1cnc(Cl)nc1', 'Ic1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Brc1nc2ccccc2[nH]1', 'CSc1ncc(Cl)cn1', 'CSc1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1', 'Nc1nc2ccccc2[nH]1', 'Nc1ncc(Cl)cn1']; [0.999843418598175, 0.9998067617416382, 0.9992222785949707, 0.9990770220756531, 0.9982907772064209, 0.9981258511543274, 0.9979736804962158, 0.9979696273803711, 0.9976770877838135, 0.9964126944541931, 0.9487943649291992]
+CNC(=O)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['Nc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9980782270431519, 0.9895490407943726, 0.9844920635223389, 0.9819064140319824, 0.9028337597846985]
+CCNC(=O)c1ccc(Nc2nc3ccccc3[nH]2)nc1; ['CCNC(=O)c1ccc(Cl)nc1']; ['Nc1nc2ccccc2[nH]1']; [0.9131513833999634]
+OCCn1cc(Nc2nc3ccccc3[nH]2)cn1; ['CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; ['Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1', 'OCCn1cc(Br)cn1']; [0.9996060132980347, 0.999065637588501, 0.9989266395568848, 0.9917513132095337]
+COc1ccc(OC)c(CNc2nc3ccccc3[nH]2)c1; ['COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'CCS(=O)(=O)c1nc2ccccc2[nH]1', 'COc1ccc(OC)c(CN)c1', 'Brc1nc2ccccc2[nH]1', 'COc1ccc(OC)c(CO)c1', 'COc1ccc(OC)c(CBr)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(C=O)c1']; ['CS(=O)(=O)c1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'O=S(=O)(O)c1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', 'COc1ccc(OC)c(CN)c1', 'CSc1nc2ccccc2[nH]1', 'COc1ccc(OC)c(CN)c1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'O=S(=O)(Cc1ccccc1)c1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9996528625488281, 0.999306321144104, 0.9991729259490967, 0.9988043308258057, 0.9985015988349915, 0.9957497119903564, 0.9956894516944885, 0.9889563322067261, 0.9876974821090698, 0.9830220937728882, 0.9812507629394531]
+CC1(C)Cc2cc(Nc3nc4ccccc4[nH]3)ccc2O1; [None]; [None]; [0]
+COc1cc(Nc2nc3ccccc3[nH]2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9987500309944153, 0.9959386587142944, 0.9346821308135986]
+CO[C@@H]1CC[C@@H](Nc2nc3ccccc3[nH]2)CC1; ['CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'Brc1nc2ccccc2[nH]1', 'CO[C@H]1CC[C@H](N)CC1']; ['CS(=O)(=O)c1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CO[C@H]1CC[C@H](N)CC1', 'CSc1nc2ccccc2[nH]1']; [0.9989737272262573, 0.9987569451332092, 0.9948599338531494, 0.9839696884155273]
+CCNC(=O)N1CCC(Nc2nc3ccccc3[nH]2)CC1; ['CCNC(=O)N1CCC(N)CC1', 'CCNC(=O)N1CCC(N)CC1']; ['Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; [0.9973127841949463, 0.9903231859207153]
+COc1cc(Nc2nc3ccccc3[nH]2)cc(OC)c1; ['COc1cc(N=C=S)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1']; ['Nc1ccccc1N', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9998326301574707, 0.9886507987976074, 0.975698709487915, 0.9743536710739136, 0.9690693616867065, 0.9636615514755249, 0.932289183139801]
+COc1cc(CS(C)(=O)=O)ccc1Nc1nc2ccccc2[nH]1; [None]; [None]; [0]
+Cc1csc2c(Nc3nc4ccccc4[nH]3)ncnc12; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3ccc4cn[nH]c4c3)nc2c1; ['Nc1nc2ccccc2[nH]1', 'Nc1ccccc1N', 'Brc1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['OB(O)c1ccc2cn[nH]c2c1', 'S=C=Nc1ccc2cn[nH]c2c1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1']; [0.9999552965164185, 0.9993166923522949, 0.998069167137146, 0.9978711605072021, 0.9968064427375793, 0.9908546209335327]
+COc1ccc2c(c1)c(Nc1nc3ccccc3[nH]1)cn2C; [None]; [None]; [0]
+CCn1cc(Nc2nc3ccccc3[nH]2)cn1; ['CCn1cc(N)cn1', 'Brc1nc2ccccc2[nH]1', 'CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'CCn1cc(N)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1']; ['CS(=O)(=O)c1nc2ccccc2[nH]1', 'CCn1cc(N)cn1', 'Ic1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9994326829910278, 0.9993525743484497, 0.997819185256958, 0.9965533018112183, 0.9964578151702881, 0.9831299781799316, 0.9654227495193481]
+CNC(=O)c1ccc(OC)c(Nc2nc3ccccc3[nH]2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'Brc1nc2ccccc2[nH]1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9879903793334961, 0.984165608882904, 0.9765501022338867, 0.9678195714950562, 0.9615932703018188, 0.8839876651763916]
+O=C(Nc1cn[nH]c1)c1cccc(Nc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+Nc1cc(Nc2nc3ccccc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3ncc4sccc4n3)nc2c1; ['Clc1ncc2sccc2n1']; ['Nc1nc2ccccc2[nH]1']; [0.9999861717224121]
+COc1ccc2oc(Nc3nc4ccccc4[nH]3)cc2c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(Nc3nc4ccccc4[nH]3)c2)c1; ['Clc1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; ['Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1']; [0.9987768530845642, 0.9833478927612305, 0.9802403450012207]
+FC(F)(F)Oc1ccc(Nc2nc3ccccc3[nH]2)cc1; ['Clc1nc2ccccc2[nH]1', 'FC(F)(F)Oc1ccc(N=C=S)cc1']; ['Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccccc1N']; [0.9979217052459717, 0.9973917007446289]
+COc1ccc2nc(Nc3nc4ccccc4[nH]3)[nH]c2c1; ['COc1ccc2nc(Cl)[nH]c2c1']; ['Nc1nc2ccccc2[nH]1']; [0.9266306161880493]
+C[NH+](C)Cc1ccc(Nc2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)NNc2nc3ccccc3[nH]2)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['NNc1nc2ccccc2[nH]1']; [0.9993337392807007]
+c1ccc2oc(Nc3nc4ccccc4[nH]3)cc2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1Nc1nc2ccccc2[nH]1; ['CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9998612403869629, 0.9989689588546753]
+Cn1cc(Nc2nc3ccccc3[nH]2)c2ccccc21; [None]; [None]; [0]
+CCc1cccc(Nc2nc3ccccc3[nH]2)n1; ['CCc1cccc(Br)n1', 'Brc1nc2ccccc2[nH]1', 'CCc1cccc(N)n1', 'CCc1cccc(N)n1']; ['Nc1nc2ccccc2[nH]1', 'CCc1cccc(N)n1', 'Clc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; [0.994928240776062, 0.981300950050354, 0.9755910634994507, 0.9552668333053589]
+Cn1cc(Br)cc1Nc1nc2ccccc2[nH]1; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3ncn4c3CCCC4)nc2c1; [None]; [None]; [0]
+Cn1ncc2cc(Nc3nc4ccccc4[nH]3)ccc21; ['Cn1ncc2cc(I)ccc21', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Cn1ncc2cc(Br)ccc21']; ['Nc1nc2ccccc2[nH]1', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Nc1nc2ccccc2[nH]1']; [0.9999030828475952, 0.9994527697563171, 0.9994008541107178, 0.9992493391036987]
+O=C(Nc1cccc(Nc2nc3ccccc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
+Cc1n[nH]c2cc(Nc3nc4ccccc4[nH]3)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'CSc1nc2ccccc2[nH]1', 'Cc1n[nH]c2cc(N)ccc12']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Cc1n[nH]c2cc(N)ccc12', 'Clc1nc2ccccc2[nH]1']; [0.999968945980072, 0.9997165203094482, 0.9994717836380005, 0.9978232383728027]
+CN(C)c1ccc(Nc2nc3ccccc3[nH]2)cn1; ['CN(C)c1ccc(N)cn1', 'Brc1nc2ccccc2[nH]1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(Br)cn1']; ['Clc1nc2ccccc2[nH]1', 'CN(C)c1ccc(N)cn1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9990171194076538, 0.998813271522522, 0.998471736907959, 0.9959115982055664, 0.9952136278152466, 0.99278724193573, 0.9844824075698853, 0.980670690536499]
+Cn1nc(Cl)c2cc(Nc3nc4ccccc4[nH]3)ccc21; [None]; [None]; [0]
+O=C(NNc1nc2ccccc2[nH]1)c1cccc(OC(F)(F)F)c1; ['NNc1nc2ccccc2[nH]1', 'NNc1nc2ccccc2[nH]1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1']; [0.9999401569366455, 0.9999023675918579]
+CC(C)(O)c1ccc2cc(Nc3nc4ccccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(Nc2nc3ccccc3[nH]2)c1; ['Brc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1']; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1', 'Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1']; [0.9999410510063171, 0.9997950792312622, 0.9996647834777832, 0.9985412955284119, 0.9979159235954285]
+Cc1cc(Nc2nc3ccccc3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(Nc3nc4ccccc4[nH]3)cn2)CC1; [None]; [None]; [0]
+OCCc1ccc(Nc2nc3ccccc3[nH]2)cc1; ['Brc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; ['Nc1ccc(CCO)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(I)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(Br)cc1', 'Nc1ccc(CCO)cc1']; [0.9992666840553284, 0.9957290887832642, 0.9875255823135376, 0.9786425828933716, 0.9686543941497803, 0.8821845650672913]
+COc1cc(N2CCNCC2)ccc1Nc1nc2ccccc2[nH]1; ['COc1cc(N2CCN(C(=O)OC(C)(C)C)CC2)ccc1N']; ['Clc1nc2ccccc2[nH]1']; [0.9982271194458008]
+Cc1cc(N2CCOCC2)ccc1Nc1nc2ccccc2[nH]1; ['Cc1cc(N2CCOCC2)ccc1N', 'Brc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; ['Clc1nc2ccccc2[nH]1', 'Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N']; [0.9988139867782593, 0.9976642727851868, 0.9968929290771484, 0.9953281283378601]
+COc1cc(S(C)(=O)=O)ccc1Nc1nc2ccccc2[nH]1; ['COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9932252168655396, 0.9891533851623535, 0.966985821723938]
+CNC(=O)c1ccc(Nc2nc3ccccc3[nH]2)c(OC)c1; ['CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['Clc1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9565179347991943, 0.9118249416351318, 0.8742868900299072, 0.8163996934890747]
+CN(C)C(=O)c1ccc(Nc2nc3ccccc3[nH]2)c(Cl)c1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(Nc3nc4ccccc4[nH]3)cc2)n1C; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(N)cc1']; ['Ic1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; [0.9447124600410461, 0.9397320747375488, 0.8672230243682861, 0.8238552212715149, 0.7781953811645508]
+CN(C)C(=O)c1ccc(Nc2nc3ccccc3[nH]2)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1']; [0.9979649186134338, 0.9741343259811401]
+COc1cc(-c2cnn(C)c2)ccc1Nc1nc2ccccc2[nH]1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(Nc2nc3ccccc3[nH]2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1nc2ccccc2[nH]1']; [0.9278792142868042]
+CNC(=O)c1ccc(C)c(Nc2nc3ccccc3[nH]2)c1; ['CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1']; ['Ic1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1']; [0.9862227439880371, 0.9676191806793213]
+CS(=O)(=O)c1ccc(Cl)c(Nc2nc3ccccc3[nH]2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1nc2ccccc2[nH]1']; [0.9845069050788879]
+Cn1nc(Nc2nc3ccccc3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
+Cc1[nH]c(C=C2C(=O)Nc3ccc(Cl)cc32)c(C)c1C(N)=O; [None]; [None]; [0]
+COc1cc(C=Cc2[nH]c(C)c(C(N)=O)c2C)ccc1O; [None]; [None]; [0]
+Oc1cccc(-c2cnc3occc3c2)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.999942421913147, 0.9999053478240967, 0.9998779296875, 0.9942694306373596, 0.915805459022522]
+Cc1[nH]c(C=Cc2ccc(O)cc2)c(C)c1C(N)=O; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1Nc1nc2ccccc2[nH]1; [None]; [None]; [0]
+c1cc(-c2cnc3occc3c2)c2cccnc2c1; ['Brc1cccc2ncccc12', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cccc2ncccc12']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Ic1cccc2ncccc12', 'Clc1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'Brc1cnc2occc2c1']; [0.9999992847442627, 0.9999985694885254, 0.9999946355819702, 0.9999902248382568, 0.9999693632125854, 0.9994648694992065]
+C[C@H](CS(C)(=O)=O)Nc1nc2ccccc2[nH]1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1cnc3occc3c1)OCO2; ['Brc1cnc2occc2c1']; ['OB(O)c1c(Cl)ccc2c1OCO2']; [0.9956340789794922]
+c1ccc2c(-c3cnc4occc4c3)n[nH]c2c1; ['Brc1n[nH]c2ccccc12', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Ic1n[nH]c2ccccc12', 'Clc1n[nH]c2ccccc12']; [0.9999895691871643, 0.9999773502349854, 0.9999169111251831]
+Oc1cc(-c2cnc3occc3c2)ccc1Cl; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999927878379822, 0.9999825954437256, 0.9999651908874512, 0.9998135566711426]
+Fc1ccc(Oc2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1']; ['Oc1ccc(F)cc1']; [0.9990711212158203]
+Cc1[nH]c(C=Cc2ccc(O)cc2O)c(C)c1C(N)=O; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl']; [0.999997615814209, 0.9999966621398926, 0.9997227191925049]
+NC(=O)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Cl)cc1']; [0.9999977350234985, 0.9999860525131226, 0.9999855756759644, 0.99997478723526, 0.9997800588607788]
+CNS(=O)(=O)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.9999876022338867, 0.9999223947525024, 0.9998650550842285, 0.8426633477210999]
+NC(=O)c1ccc(-c2cnc3occc3c2)c(F)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['NC(=O)c1ccc(Br)c(F)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(Cl)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1cccc(F)c1']; [0.9999971389770508, 0.9999956488609314, 0.999832272529602, 0.9996451139450073, 0.9972310662269592, 0.9543987512588501]
+COc1cc(C(N)=O)ccc1-c1cnc2occc2c1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; [0.9999901056289673, 0.9999438524246216]
+Oc1ccc(-c2cnc3occc3c2)c(Cl)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['Oc1ccc(Br)c(Cl)c1', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Oc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Cl)c(Cl)c1']; [0.9999775886535645, 0.999920129776001, 0.9998745322227478, 0.9991627931594849, 0.9971861839294434]
+Oc1ccc(-c2cnc3occc3c2)c(F)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Oc1ccc(Br)c(F)c1', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(Cl)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Br)c(F)c1', 'Oc1cccc(F)c1']; [0.9999923706054688, 0.9999399185180664, 0.9999372363090515, 0.9996081590652466, 0.9994008541107178, 0.9876325130462646, 0.9098072052001953]
 Clc1[nH]ncc1-c1cnc2occc2c1; [None]; [None]; [0]
-Oc1ccc(-c2ccc(-c3cnc4occc4c3)cc2)c(O)c1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-COc1cc(-c2cnc3occc3c2)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2cnc3occc3c2)o1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnc2occc2c1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br']; [0.9999806880950928, 0.9999436140060425, 0.9998964071273804, 0.9995229244232178, 0.9992942810058594, 0.9562754034996033]
+COc1ccc(F)cc1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1']; [0.9999927282333374, 0.999987006187439, 0.9999359846115112, 0.9997159838676453, 0.8626196384429932]
+Nc1nccc(-c2cnc3occc3c2)n1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1', 'Nc1ncccn1']; [0.9999940991401672, 0.9999922513961792, 0.9999827146530151, 0.9998100996017456, 0.9958717226982117, 0.8040255308151245]
+Oc1ccc(-c2ccc(-c3cnc4occc4c3)cc2)c(O)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; [0.999946117401123, 0.979594349861145]
+COc1cc(-c2cnc3occc3c2)ccc1O; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1cc(Br)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O']; [0.9999960660934448, 0.9999929666519165, 0.9999837279319763, 0.9979284405708313, 0.9937132596969604]
+O=C([O-])c1ccc(-c2cnc3occc3c2)cc1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['O=C([O-])c1ccc(Cl)cc1']; [0.9986914396286011]
+COC(=O)c1ccc(-c2cnc3occc3c2)o1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccco1']; [0.9999837875366211, 0.9992517828941345, 0.986092746257782, 0.935659646987915]
+Cc1nc2c(F)cc(-c3cnc4occc4c3)cc2[nH]1; [None]; [None]; [0]
+Brc1cccc(-c2cnc3occc3c2)c1; ['Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cccc(I)c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'Brc1cnc2occc2c1']; [0.9998940825462341, 0.9989247918128967, 0.9987689256668091, 0.9899721145629883, 0.8936919569969177]
+Cn1cc(-c2cnc3occc3c2)c2ccccc21; ['Brc1cnc2occc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999923706054688]
+COC(=O)c1ccc(Cl)c(-c2cnc3occc3c2)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; [0.9999935626983643, 0.9999927282333374, 0.9999924302101135, 0.9993252754211426, 0.9975322484970093, 0.9912875890731812]
+c1ccc2cc(-c3cnc4occc4c3)ccc2c1; ['Brc1cnc2occc2c1', 'Brc1ccc2ccccc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Clc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'c1ccc2ccccc2c1']; [0.9999914765357971, 0.9999892711639404, 0.9999489188194275, 0.999925434589386, 0.9999067783355713, 0.9904979467391968]
+c1cc2c(-c3cnc4occc4c3)c[nH]c2cn1; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9999344348907471, 0.9990566968917847, 0.7795741558074951]
 COc1cc(CCc2cnc3occc3c2)ccc1O; [None]; [None]; [0]
-Clc1cccc(OCc2cnc3occc3c2)c1; [None]; [None]; [0]
-Brc1cccc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-Oc1ccc(-c2cnc3occc3c2)c(O)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(-c2cnc3occc3c2)c1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3occc3c2)cc1F; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Oc1ccc(Br)cc1F', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Oc1ccc(I)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F']; [0.999994158744812, 0.9999927878379822, 0.9999798536300659, 0.9998303651809692, 0.9977757334709167]
 c1cnn2ncc(-c3cnc4occc4c3)c2c1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3occc3c2)c(O)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Oc1ccc(Br)c(O)c1', 'Oc1cccc(O)c1']; [0.999986469745636, 0.8284171223640442]
+Nc1cc(-c2cnc3occc3c2)ccn1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Nc1cc(Br)ccn1', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(I)ccn1', 'Nc1cc(Cl)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1']; [0.9999860525131226, 0.9999374151229858, 0.9999065399169922, 0.9997624158859253, 0.9905970096588135, 0.960169792175293]
+Cc1ccc2[nH]ncc2c1-c1cnc2occc2c1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B(O)O']; [0.9999991655349731, 0.9999991655349731, 0.9997643232345581]
+Oc1ccc(Cl)c(-c2cnc3occc3c2)c1; ['Brc1cnc2occc2c1']; ['OB(O)c1cc(O)ccc1Cl']; [0.9970026016235352]
+NC(=O)c1cc(-c2cnc3occc3c2)c[nH]1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['NC(=O)c1cc(Br)c[nH]1']; [0.9999034404754639]
+Oc1ncc(-c2cnc3occc3c2)cc1Cl; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(I)cc1Cl']; [0.9999173879623413, 0.999885618686676, 0.9997767806053162]
+Cc1ccc(CO)cc1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Br']; [0.9999906420707703, 0.9999878406524658, 0.9999649524688721, 0.9998970031738281, 0.9986902475357056, 0.9942461252212524]
+Fc1ccc(-c2nc[nH]c2-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.9904347062110901]
+Fc1ccc(-c2cnc3occc3c2)cc1Cl; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(I)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Fc1ccccc1Cl']; [0.9999987483024597, 0.9999982118606567, 0.9999978542327881, 0.9999955892562866, 0.9999731779098511, 0.9999657869338989, 0.9993010759353638, 0.9235532283782959]
+COc1cc(OC)cc(-c2cnc3occc3c2)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1']; [0.9999904632568359, 0.9999892711639404, 0.999971866607666, 0.9999443292617798, 0.9998249411582947, 0.997799277305603, 0.9951169490814209]
 Clc1ccccc1OCc1cnc2occc2c1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3occc3c2)cc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cnc2occc2c1; [None]; [None]; [0]
-Clc1ccc(CCc2cnc3occc3c2)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnc2occc2c1; [None]; [None]; [0]
-Cc1ccc2[nH]ncc2c1-c1cnc2occc2c1; [None]; [None]; [0]
-Oc1ccc(Cl)c(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cnc3occc3c1)OCO2; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnc2occc2c1; [None]; [None]; [0]
-Oc1ncc(-c2cnc3occc3c2)cc1Cl; [None]; [None]; [0]
-NC(=O)c1cc(-c2cnc3occc3c2)c[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-COc1ccc(-c2cnc3occc3c2)cc1OC; [None]; [None]; [0]
+CCOc1cccc(-c2cnc3occc3c2)c1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(B(O)O)c1']; [0.9999755024909973, 0.9999704360961914, 0.9996809959411621, 0.9988447427749634]
+NC(=O)Nc1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'NC(=O)Nc1ccc(Br)cc1']; [0.9999911785125732, 0.999962568283081]
+COc1ccc(-c2cnc3occc3c2)cc1OC; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1ccc(Br)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; [0.9999983906745911, 0.9999955892562866, 0.9999942779541016, 0.9997963905334473, 0.9991104602813721]
+c1cc2cc(-c3cnc4occc4c3)cnc2[nH]1; ['Brc1cnc2occc2c1', 'Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1cnc2occc2c1']; [0.9999855756759644, 0.9999855756759644, 0.9999498724937439, 0.9996219277381897, 0.9876986742019653]
+Cc1nc2ccc(-c3cnc4occc4c3)cc2[nH]1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1']; [0.9999963045120239, 0.9999948740005493, 0.9999076128005981, 0.9868147373199463]
 CNC(=O)c1cccc2cc(-c3cnc4occc4c3)ccc12; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc4occc4c3)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-c1cc2cc(-c3cnc4occc4c3)cnc2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-c1ccc2sc(-c3cnc4occc4c3)nc2c1; [None]; [None]; [0]
-Oc1cncc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-O=C1Cc2cc(-c3cnc4occc4c3)ccc2N1; [None]; [None]; [0]
-C[C@H](CC(N)=O)c1cnc2occc2c1; [None]; [None]; [0]
-CNc1nccc(-c2cnc3occc3c2)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1cnc2occc2c1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
+c1ccc2sc(-c3cnc4occc4c3)nc2c1; ['Brc1nc2ccccc2s1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'c1ccc2scnc2c1']; [0.999994158744812, 0.9987578392028809]
+Oc1cncc(-c2cnc3occc3c2)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Oc1cncc(Br)c1', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'OB(O)c1cncc(O)c1']; [0.9998104572296143, 0.9997260570526123, 0.9906167984008789]
+CS(=O)(=O)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.999999463558197, 0.9999973773956299, 0.9999967813491821, 0.9999920129776001]
+COc1cc(CCc2cnc3occc3c2)cc(OC)c1; [None]; [None]; [0]
+CNc1nccc(-c2cnc3occc3c2)n1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CNc1nccc(Cl)n1']; [0.9999781847000122]
+O=C1Cc2cc(-c3cnc4occc4c3)ccc2N1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9999611377716064, 0.9999352693557739, 0.9998661279678345, 0.999807596206665, 0.9995707273483276, 0.9987809658050537, 0.9776268601417542]
+CCc1cc(O)ccc1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; [0.9999929666519165, 0.9999772310256958]
+Cc1n[nH]c(-c2cnc3occc3c2)c1C; ['Brc1cnc2occc2c1']; ['Cc1c[nH]nc1C']; [0.9968270063400269]
 Cc1n[nH]c2cc(N(C)c3cnc4occc4c3)ccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)c1cnc2occc2c1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CCc1cc(O)c(F)cc1Br', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; [0.9999982714653015, 0.9999905824661255]
+Cc1cc(O)ccc1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1Br', 'Cc1cccc(O)c1']; [0.9999935626983643, 0.9999891519546509, 0.9999544620513916, 0.9999241828918457, 0.9995065927505493, 0.9950668811798096, 0.9140264987945557]
+CN(c1cccc(Cl)c1)c1cnc2occc2c1; ['Brc1cnc2occc2c1']; ['CNc1cccc(Cl)c1']; [0.996209979057312]
+C[C@H](CC(N)=O)c1cnc2occc2c1; [None]; [None]; [0]
+Clc1cnccc1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Clc1cnccc1Br', 'Clc1cnccc1I', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1Br']; [0.9999527931213379, 0.9999452829360962, 0.9998170137405396, 0.9992222189903259, 0.9778823852539062]
+CNc1nc(-c2cnc3occc3c2)ncc1F; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CNc1nc(Cl)ncc1F']; [0.9999703168869019]
 CCc1sccc1-c1cnc2occc2c1; [None]; [None]; [0]
-Oc1c(Cl)cc(-c2cnc3occc3c2)cc1Cl; [None]; [None]; [0]
-c1cc2cc(-c3ccc4c(c3)CCN4)cnc2o1; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2cnc3occc3c2)cc1Cl; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(Br)cc1Cl']; [0.9999629259109497, 0.9998334050178528, 0.9998044967651367, 0.9968647360801697, 0.9635530710220337]
+c1cc2cc(-c3ccc4c(c3)CCN4)cnc2o1; ['Brc1cnc2occc2c1', 'Brc1ccc2c(c1)CCN2', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1ccc2c(c1)CCN2']; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Ic1ccc2c(c1)CCN2', 'Clc1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'Brc1cnc2occc2c1']; [0.9999994039535522, 0.9999991655349731, 0.9999955296516418, 0.9999686479568481, 0.9999616146087646, 0.9992896318435669]
+FC(F)c1cc(-c2cnc3occc3c2)[nH]n1; [None]; [None]; [0]
 Oc1cc(-c2cnc3occc3c2)nc2ccnn12; [None]; [None]; [0]
+c1cc(Nc2cnc3occc3c2)ccn1; ['Nc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Fc1ccncc1', 'Clc1ccncc1', 'Brc1ccncc1', 'Ic1ccncc1', 'Nc1cnc2occc2c1']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Oc1ccncc1']; [0.9972081184387207, 0.9945697784423828, 0.9794671535491943, 0.978139340877533, 0.9747709631919861, 0.9696590900421143, 0.7876709699630737]
+O=c1[nH]c2ccc(-c3cnc4occc4c3)cc2[nH]1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['O=c1[nH]c2ccc(Br)cc2[nH]1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.9999929666519165, 0.9999920129776001, 0.9999897480010986, 0.9999856948852539, 0.9999327659606934, 0.9998879432678223, 0.9950000643730164]
+Fc1cc(Br)ccc1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'OB(O)c1ccc(Br)cc1F']; [0.9999896287918091, 0.99998939037323, 0.9998695254325867, 0.9950357675552368]
+CNC(=O)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(Br)cc1']; [0.9999973177909851, 0.9999861121177673, 0.9999807476997375, 0.999962329864502, 0.9997313022613525, 0.969504714012146]
+Fc1ccc2n[nH]c(-c3cnc4occc4c3)c2c1; [None]; [None]; [0]
 Cc1oc(-c2cnc3occc3c2)cc1C(=O)[O-]; [None]; [None]; [0]
-O=c1[nH]c2ccc(-c3cnc4occc4c3)cc2[nH]1; [None]; [None]; [0]
+CN(c1cnc2occc2c1)c1cccc2[nH]ncc12; ['Brc1cnc2occc2c1']; ['CNc1cccc2[nH]ncc12']; [0.9141206741333008]
+O=C(NC1CC1)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999998807907104, 0.9999991655349731, 0.9999989867210388, 0.999998927116394, 0.9996667504310608]
+Cc1cc(-c2cnc3occc3c2)ccc1C(N)=O; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O']; [0.9999966621398926, 0.9999935030937195, 0.9999829530715942, 0.9883054494857788]
+Oc1cc(Br)cc(-c2cnc3occc3c2)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Oc1cc(Br)cc(I)c1', 'Oc1cc(Br)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C']; [0.9999768733978271, 0.9988716244697571, 0.9897520542144775, 0.9720818996429443]
 Cn1ncc(N)c1-c1cnc2occc2c1; [None]; [None]; [0]
-c1cc(Nc2cnc3occc3c2)ccn1; [None]; [None]; [0]
-Fc1cc(Br)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
-Fc1ccc2n[nH]c(-c3cnc4occc4c3)c2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnc3occc3c2)c1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-CN(c1cnc2occc2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
-Oc1cc(Br)cc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-O=C(NC1CC1)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-Cc1cc(-c2cnc3occc3c2)ccc1C(N)=O; [None]; [None]; [0]
-Cc1nc2ccc(-c3cnc4occc4c3)cc2o1; [None]; [None]; [0]
-Oc1c(F)cc(-c2cnc3occc3c2)cc1F; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(-c3cnc4occc4c3)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-CSc1cccc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-c1ccc(COc2cnc3occc3c2)cc1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnc4occc4c3)cc2o1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Cl)cc2o1']; [0.9999992251396179, 0.999998927116394, 0.9999945759773254, 0.9999887943267822]
+Cc1cc(-c2cnc3occc3c2)cc(C)c1O; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O']; [0.9999600648880005, 0.9999426007270813, 0.9998708963394165, 0.9904001951217651]
+CSc1cccc(-c2cnc3occc3c2)c1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B(O)O)c1']; [0.99998939037323, 0.9999653697013855, 0.9755239486694336]
+Oc1c(F)cc(-c2cnc3occc3c2)cc1F; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(I)cc1F', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Oc1c(F)cc(Cl)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cccc1F']; [0.9999183416366577, 0.9998440146446228, 0.9997738599777222, 0.9982917904853821, 0.9933405518531799, 0.8194164037704468]
+c1ccc2c(COc3cnc4occc4c3)cccc2c1; ['Brc1cnc2occc2c1']; ['OCc1cccc2ccccc12']; [0.9449639320373535]
+O=c1[nH][nH]c2cc(-c3cnc4occc4c3)ccc12; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12']; [0.9999984502792358, 0.9885368347167969]
+Fc1ccc(Oc2cnc3occc3c2)c(F)c1; ['Brc1cnc2occc2c1', 'O=[N+]([O-])c1cnc2occc2c1']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999815225601196, 0.949150800704956]
+Fc1cccc(Cl)c1CNc1cnc2occc2c1; ['Brc1cnc2occc2c1', 'NCc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CBr', 'Nc1cnc2occc2c1', 'Fc1cccc(Cl)c1CCl']; ['NCc1c(F)cccc1Cl', 'O=[N+]([O-])c1cnc2occc2c1', 'Nc1cnc2occc2c1', 'O=Cc1c(F)cccc1Cl', 'Nc1cnc2occc2c1']; [0.9999901652336121, 0.9996905326843262, 0.9991976022720337, 0.9990377426147461, 0.9977501630783081]
+Cc1onc(-c2ccccc2)c1-c1cnc2occc2c1; ['Brc1cnc2occc2c1']; ['Cc1onc(-c2ccccc2)c1B(O)O']; [0.9995228052139282]
+Clc1ccc(-c2[nH]ncc2-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1']; ['Clc1ccc(-c2ccn[nH]2)cc1']; [0.9162741899490356]
 c1ccc2c(CCc3cnc4occc4c3)c[nH]c2c1; [None]; [None]; [0]
-c1ccc2c(COc3cnc4occc4c3)cccc2c1; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-Fc1ccc(Oc2cnc3occc3c2)c(F)c1; [None]; [None]; [0]
-Fc1ccccc1Oc1cnc2occc2c1; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1-c1cnc2occc2c1; [None]; [None]; [0]
-Fc1ccc(-c2cnc3occc3c2)c(Cl)c1; [None]; [None]; [0]
-Clc1ccc(-c2[nH]ncc2-c2cnc3occc3c2)cc1; [None]; [None]; [0]
 Fc1ccc(COc2cnc3occc3c2)c(F)c1; [None]; [None]; [0]
-Fc1ccc(CCc2cnc3occc3c2)c(F)c1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNc1cnc2occc2c1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-c1ccc2nc(-c3cnc4occc4c3)ncc2c1; [None]; [None]; [0]
-COc1ncccc1-c1cnc2occc2c1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cnc2occc2c1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-COc1cc(-c2cnc3occc3c2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnc4occc4c3)c2c1; [None]; [None]; [0]
-c1cnn2c(-c3cnc4occc4c3)cnc2c1; [None]; [None]; [0]
-Oc1cccc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-COc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-c1cc2cc(-c3ccc(N4CCOCC4)cc3)cnc2o1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnc3occc3c2)c1)C1CC1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3cnc4occc4c3)nc2c1; [None]; [None]; [0]
+Fc1ccc(CCc2cnc3occc3c2)c(F)c1; ['Brc1cnc2occc2c1']; ['Fc1ccc(CCBr)c(F)c1']; [0.9947530031204224]
+c1ccc2nc(-c3cnc4occc4c3)ncc2c1; ['Brc1ncc2ccccc2n1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Clc1ncc2ccccc2n1']; [0.9999937415122986, 0.999964714050293]
+CC(=O)N(C)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC(=O)N(C)c1ccc(Br)cc1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccccc1']; [0.999998927116394, 0.9999945163726807, 0.9907028675079346, 0.9309954047203064]
+Cc1nc(C(C)(C)O)sc1-c1cnc2occc2c1; ['Brc1cnc2occc2c1']; ['Cc1csc(C(C)(C)O)n1']; [0.9980218410491943]
+COc1ncccc1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1ncccc1Br', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1I', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ccccn1']; [0.999993085861206, 0.9999924302101135, 0.9999848008155823, 0.9998965263366699, 0.999852180480957, 0.9990096092224121, 0.9575421810150146]
+Fc1ccc(-c2ncoc2-c2cnc3occc3c2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Cl)cc1', 'CCOc1ccc([Mg]Br)cc1', 'CCOc1ccccc1']; [0.9999986886978149, 0.9999922513961792, 0.9999814033508301, 0.9999760985374451, 0.999928891658783, 0.9999280571937561, 0.9991575479507446, 0.8315479755401611]
+CS(=O)(=O)c1cccc(-c2cnc3occc3c2)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CS(=O)(=O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1ccccc1']; [0.9999962449073792, 0.9999946355819702, 0.9999710917472839, 0.999510645866394, 0.994584858417511, 0.7533794641494751]
+Cc1ccc2ncn(-c3cnc4occc4c3)c2c1; ['Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; [0.9970477223396301, 0.994321346282959]
+c1cnn2c(-c3cnc4occc4c3)cnc2c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [1.0, 0.999997615814209, 0.9998671412467957]
+COc1cc(-c2cnc3occc3c2)cc(OC)c1OC; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['COc1cc(Br)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; [0.9999856948852539, 0.9999710321426392, 0.9999654293060303, 0.9994008541107178]
+O=C(Nc1cccc(-c2cnc3occc3c2)c1)C1CC1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['O=C(Nc1cccc(Br)c1)C1CC1', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.999987006187439, 0.9906688928604126]
+COc1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccccc1']; [0.9999988079071045, 0.9999910593032837, 0.9999822974205017, 0.9999546408653259, 0.9999518394470215, 0.9490665197372437]
+c1cnc(Nc2cnc3occc3c2)nc1; ['Brc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Brc1cnc2occc2c1']; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1ncccn1']; [0.999474287033081, 0.9994581937789917, 0.999190092086792, 0.9970449805259705, 0.99504554271698, 0.9838026762008667, 0.9477850198745728]
+c1cc2cc(-c3ccc(N4CCOCC4)cc3)cnc2o1; ['Brc1cnc2occc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1cnc2occc2c1']; [0.9999997019767761, 0.9999984502792358, 0.9999978542327881, 0.9999940395355225, 0.9999932050704956, 0.9999688863754272, 0.9998518228530884, 0.9966040849685669]
+c1ccc2[nH]c(-c3cnc4occc4c3)nc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1nc2ccccc2[nH]1']; ['Clc1nc2ccccc2[nH]1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; [0.9999417066574097, 0.9999269247055054]
+c1ccc2c(-c3cnc4occc4c3)nccc2c1; ['Brc1nccc2ccccc12', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Clc1nccc2ccccc12', 'OB(O)c1nccc2ccccc12']; [0.9999840259552002, 0.9997746348381042, 0.9996799230575562]
+N#Cc1ccc(O)c(-c2cnc3occc3c2)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Br)c1']; [0.9999871850013733, 0.999984622001648, 0.9999191761016846, 0.9971129894256592, 0.9879074096679688]
+N#Cc1cccc(Cn2cc(-c3cnc4occc4c3)cn2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC(=O)NCc1ccc(Br)cc1', 'Brc1cnc2occc2c1']; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC(=O)NCc1ccc(B(O)O)cc1']; [0.9999992847442627, 0.9999957084655762, 0.9999918937683105]
+O=C(Nc1ccccc1)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9999995231628418, 0.9999970197677612, 0.9999935626983643, 0.9999340772628784, 0.9960954785346985]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4occc4c3)cc2)CC1; [None]; [None]; [0]
+c1cc(Nc2cnc3occc3c2)ncn1; ['Clc1ccncn1', 'Brc1ccncn1', 'Fc1ccncn1', 'Brc1cnc2occc2c1', 'Nc1cnc2occc2c1']; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1ccncn1', 'O=c1ccnc[nH]1']; [0.9988183975219727, 0.9963228702545166, 0.9829398393630981, 0.9796997308731079, 0.934766411781311]
 Cc1cc(Nc2cnc3occc3c2)sn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnc3occc3c2)cn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cnc2occc2c1; [None]; [None]; [0]
-c1cnc(Nc2cnc3occc3c2)nc1; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3cnc4occc4c3)cn2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-c1ccc2c(Cc3cnc4occc4c3)nccc2c1; [None]; [None]; [0]
-OCCOc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-c1cc(-c2cnc3occc3c2)cc(C2CCNCC2)c1; [None]; [None]; [0]
-O=C(c1ccc(-c2cnc3occc3c2)cc1)N1CCOCC1; [None]; [None]; [0]
-O=C(c1ccc(-c2cnc3occc3c2)nc1)N1CCOCC1; [None]; [None]; [0]
-c1cc(Nc2cnc3occc3c2)ncn1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
+c1cc(-c2cnc3occc3c2)cc(C2CCNCC2)c1; ['Brc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; [0.9999977350234985]
+OCCOc1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(B(O)O)cc1']; [0.9999924898147583, 0.9999680519104004, 0.9999237656593323]
+O=C(c1ccc(-c2cnc3occc3c2)cc1)N1CCOCC1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9999994039535522, 0.9999943971633911, 0.9999932646751404, 0.9999907612800598, 0.9975612163543701]
+O=C(c1ccc(-c2cnc3occc3c2)nc1)N1CCOCC1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999833106994629, 0.9999550580978394]
+Cc1nc(C)c(-c2cnc3occc3c2)s1; ['Brc1cnc2occc2c1']; ['Cc1csc(C)n1']; [0.956432580947876]
+O=S1(=O)Cc2ccc(-c3cnc4occc4c3)cc2C1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999995231628418, 0.9963620901107788]
+FC(F)(F)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'CC1(C)COB(c2ccc(C(F)(F)F)cc2)OC1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'FC(F)(F)c1ccc([Mg]Br)cc1', 'FC(F)(F)c1ccc(Br)cc1']; [0.9999961853027344, 0.9999855756759644, 0.999984085559845, 0.9999713897705078, 0.9999504685401917, 0.9998779296875, 0.9994295835494995, 0.9939320087432861]
+CN(C)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc([Mg]Br)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccccc1']; [0.9999985694885254, 0.9999955892562866, 0.9999935626983643, 0.9999709129333496, 0.9999681711196899, 0.9999665021896362, 0.9986879825592041, 0.9897170066833496, 0.9136396646499634]
+CN(C)S(=O)(=O)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; [0.9999986290931702, 0.9999864101409912, 0.9999808073043823, 0.9999796152114868, 0.9825762510299683]
 C[C@@H](O)COc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3cnc4occc4c3)cc2C1; [None]; [None]; [0]
-FC(F)(F)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cnc2occc2c1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnc3occc3c2)s1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2cnc3occc3c2)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2cnc3occc3c2)cn1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cnc3occc3c2)cc1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; [0.9999697804450989, 0.999905526638031, 0.9713230133056641]
+CC(C)c1cc(-c2cnc3occc3c2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1ccnc(N)n1']; [0.9999973773956299, 0.9999394416809082, 0.9968540072441101]
+CCCOc1ccc(-c2cnc3occc3c2)nc1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CCCOc1ccc(Br)nc1', 'CCCOc1ccc(Br)nc1']; [0.9999938011169434, 0.9964156150817871]
+Brc1ccc(-c2cnc3occc3c2)cc1; ['Brc1ccc(I)cc1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1ccc(Br)cc1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Clc1ccc(Br)cc1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'OB(O)c1ccc(Br)cc1']; [0.9999750852584839, 0.999901533126831, 0.9997066259384155, 0.9996219873428345, 0.9957982897758484]
+c1cc2nc(-c3cnc4occc4c3)ccn2n1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1ccn2nccc2n1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Clc1ccn2nccc2n1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Clc1ccn2nccc2n1', 'c1cnc2ccnn2c1']; [0.9999982118606567, 0.9999980330467224, 0.9999249577522278, 0.9997103214263916]
 O=C(c1ccccc1)N1CC[C@H](c2cnc3occc3c2)C1; [None]; [None]; [0]
-CC(C)c1cc(-c2cnc3occc3c2)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; [0.9999987483024597, 0.9999985694885254, 0.9999973177909851, 0.9999876618385315, 0.9937475919723511]
 CC(=O)N1CCCN(c2cccc(-c3cnc4occc4c3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cnc3occc3c2)nc1; [None]; [None]; [0]
-Brc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc3occc3c2)c(C)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; [0.999984860420227, 0.9999736547470093, 0.9992824196815491, 0.9933397173881531]
+CN(C)c1ccc(-c2cnc3occc3c2)cc1Cl; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl']; [0.9999985694885254, 0.9999982714653015, 0.9979482889175415, 0.9664734601974487]
 Cc1c(C(=O)[O-])cccc1-c1cnc2occc2c1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3occc3c2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cnc3occc3c2)cc1; [None]; [None]; [0]
-c1ccc2c(-c3cnc4occc4c3)c[nH]c2c1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cnc2occc2c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br']; [0.9999912977218628, 0.9999756813049316, 0.9999620914459229, 0.9998815655708313, 0.9990017414093018]
+c1ccc(-n2cccn2)c(-c2cnc3occc3c2)c1; ['Brc1ccccc1-n1cccn1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1ccccc1-n1cccn1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Clc1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Brc1cnc2occc2c1', 'c1ccc(-n2cccn2)cc1']; [0.9999985694885254, 0.9999972581863403, 0.9999319911003113, 0.9999232292175293, 0.9997906684875488, 0.9988918304443359]
+c1ccc2c(-c3cnc4occc4c3)c[nH]c2c1; ['Brc1c[nH]c2ccccc12', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Clc1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999362230300903, 0.9997075200080872, 0.9994814395904541, 0.9992152452468872, 0.8986015319824219]
+c1cc2cc(-c3ccc4c(c3)CCO4)cnc2o1; ['Brc1ccc2c(c1)CCO2', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1ccc2c(c1)CCO2']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Brc1cnc2occc2c1']; [0.9999992847442627, 0.9999943971633911, 0.999992847442627, 0.9999169111251831, 0.9988347887992859]
+CC(=O)Nc1cccc(-c2cnc3occc3c2)c1; ['Brc1cnc2occc2c1', 'CC(=O)Nc1cccc(Br)c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; [0.9999961853027344, 0.9999957084655762, 0.9982591271400452, 0.9935857057571411]
+c1cc2c(c(-c3cnc4occc4c3)c1)OCO2; ['Brc1cccc2c1OCO2', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cccc2c1OCO2', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Ic1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Brc1cnc2occc2c1', 'c1ccc2c(c1)OCO2']; [0.9999969601631165, 0.9999945163726807, 0.9999681115150452, 0.9997103810310364, 0.9967093467712402, 0.879274845123291]
 COc1cc(OC)c(-c2cnc3occc3c2)cc1Cl; [None]; [None]; [0]
+c1cc2cc(-c3scc4c3OCCO4)cnc2o1; ['Brc1cnc2occc2c1']; ['c1scc2c1OCCO2']; [0.9999818801879883]
+CC(C)(C)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'Brc1cnc2occc2c1', 'CC(C)(C)c1ccc(Cl)cc1', 'Brc1cnc2occc2c1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC(C)(C)c1ccc(Br)cc1']; [0.9999996423721313, 0.9999979734420776, 0.9999967813491821, 0.9999878406524658, 0.9999791979789734, 0.9970607757568359]
 CC(C)c1ccc2nc(-c3cnc4occc4c3)[nH]c2c1; [None]; [None]; [0]
-c1cc2cc(-c3ccc4c(c3)CCO4)cnc2o1; [None]; [None]; [0]
-c1ccc2cc(-c3cnc4occc4c3)ncc2c1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3cnc4occc4c3)n[nH]2)cc1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
+c1ccc2ncc(-c3cnc4occc4c3)cc2c1; ['Brc1cnc2occc2c1', 'Brc1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Ic1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1']; [0.999983012676239, 0.999983012676239, 0.9998503923416138, 0.999000072479248]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
-c1cc2c(c(-c3cnc4occc4c3)c1)OCO2; [None]; [None]; [0]
-c1cc2cc(-c3scc4c3OCCO4)cnc2o1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-c1ccc2ncc(-c3cnc4occc4c3)cc2c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3occc3c2)cn1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cnc4occc4c3)nc2c1F; [None]; [None]; [0]
+c1ccc(-c2cc(-c3cnc4occc4c3)n[nH]2)cc1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cnc3occc3c2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'COC(=O)c1cccc(OC)c1', 'Brc1cnc2occc2c1']; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'COc1cccc(C(N)=O)c1']; [0.9999655485153198, 0.9997391700744629, 0.9912877082824707, 0.9900184869766235]
+CN(C)C(=O)c1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; [0.9999987483024597, 0.9999943971633911, 0.9999940395355225, 0.9999712705612183, 0.9998085498809814, 0.9871799945831299]
+Nc1nc(-c2cnc3occc3c2)cs1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['Nc1nc(Br)cs1', 'Nc1nc(Cl)cs1']; [0.9999964833259583, 0.999957799911499]
+CC(C)(C)c1ccc(-c2cnc3occc3c2)cn1; ['Brc1cnc2occc2c1', 'CC(C)(C)c1ccc(Br)cn1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; [0.9999955892562866, 0.9999840259552002, 0.9999552965164185, 0.9955655932426453]
+Clc1cccc(-n2ccc(-c3cnc4occc4c3)n2)c1; ['Brc1cnc2occc2c1']; ['Clc1cccc(-n2cccn2)c1']; [0.8813565969467163]
+CC1(COc2cnc3occc3c2)COC1; ['Brc1cnc2occc2c1']; ['CC1(CO)COC1']; [0.969100832939148]
+c1ccc2sc(-c3cnc4occc4c3)cc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cc2ccccc2s1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cc2ccccc2s1']; ['Ic1cc2ccccc2s1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1', 'OB(O)c1cc2ccccc2s1', 'c1ccc2sccc2c1', 'Brc1cnc2occc2c1']; [0.9999812841415405, 0.9999805688858032, 0.9999217391014099, 0.9998624324798584, 0.9996278285980225, 0.9994884729385376, 0.9958698749542236]
+CSc1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1']; [0.9999979138374329, 0.9999805688858032, 0.9999786615371704, 0.9998582601547241, 0.9996998310089111, 0.9505095481872559]
+Brc1cnc(-c2cnc3occc3c2)nc1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc(Br)nc1']; ['Clc1ncc(Br)cn1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; [0.9998385906219482, 0.9995396137237549]
+Cc1cc(-c2cnc3occc3c2)nc(N)n1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Cc1cc(Br)nc(N)n1', 'Cc1cc(Cl)nc(N)n1', 'Cc1ccnc(N)n1']; [0.999998152256012, 0.9999951124191284, 0.9989559650421143]
+Fc1ccc(-c2cnc3occc3c2)c(Cl)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Fc1ccc(Br)c(Cl)c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Cl)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1']; [0.9999950528144836, 0.9999929666519165, 0.9999852776527405, 0.9998923540115356, 0.9995894432067871, 0.999177873134613, 0.9919784069061279]
+COc1ccc(CNc2cnc3occc3c2)cc1; ['COc1ccc(CCl)cc1', 'COc1ccc(CBr)cc1', 'Brc1cnc2occc2c1', 'COc1ccc(C=O)cc1']; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'COc1ccc(CN)cc1', 'Nc1cnc2occc2c1']; [0.9989967346191406, 0.9988908767700195, 0.9830605983734131, 0.9192219376564026]
 CC(=O)N[C@@H]1CC[C@@H](c2cnc3occc3c2)CC1; [None]; [None]; [0]
-CC1(COc2cnc3occc3c2)COC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2cnc3occc3c2)c1; [None]; [None]; [0]
-Cc1cc(-c2cnc3occc3c2)nc(N)n1; [None]; [None]; [0]
+CCc1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Cl)cc1', 'CCc1ccc([Mg]Br)cc1', 'CCc1ccc(Br)cc1']; [0.9999990463256836, 0.9999957084655762, 0.9999930262565613, 0.9999661445617676, 0.9999269247055054, 0.9969431757926941, 0.9901665449142456]
 CCN1CCN(Cc2ccc(-c3cnc4occc4c3)cc2)CC1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cnc2occc2c1; [None]; [None]; [0]
-Brc1cnc(-c2cnc3occc3c2)nc1; [None]; [None]; [0]
-COc1ccc(CNc2cnc3occc3c2)cc1; [None]; [None]; [0]
-c1ncn(CCCc2cnc3occc3c2)n1; [None]; [None]; [0]
-Clc1ccc(-c2cnc3occc3c2)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3cnc4occc4c3)ccc2N1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999824166297913, 0.9999716281890869, 0.9998582601547241, 0.999722421169281, 0.9995207786560059, 0.9941146373748779]
+Clc1ccc(-c2cnc3occc3c2)c(Cl)c1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc([Mg]Br)c(Cl)c1']; [0.999987006187439, 0.9999587535858154, 0.9999104738235474, 0.9996350407600403, 0.9957109689712524, 0.9944111704826355]
 O=C(C1CC1)N1CC(Nc2cnc3occc3c2)C1; [None]; [None]; [0]
-c1cc2cnc(-c3cnc4occc4c3)nn2c1; [None]; [None]; [0]
-c1ccn2nc(-c3cnc4occc4c3)cc2c1; [None]; [None]; [0]
-COc1cc(-c2cnc3occc3c2)ccc1N1CCOCC1; [None]; [None]; [0]
-Cn1cc(-c2cnc3occc3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
+c1cc2cnc(-c3cnc4occc4c3)nn2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['Clc1ncc2cccn2n1']; [0.9999018311500549]
+c1ccn2nc(-c3cnc4occc4c3)cc2c1; ['Brc1cc2ccccn2n1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Clc1cc2ccccn2n1', 'c1ccn2nccc2c1']; [0.9999895095825195, 0.9999779462814331, 0.9770262241363525]
+COc1cc(-c2cnc3occc3c2)ccc1N1CCOCC1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; [0.9999997615814209, 0.999969482421875, 0.9995768666267395]
+Cn1cc(-c2cnc3occc3c2)c(C(F)(F)F)n1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(C(=O)O)c(C(F)(F)F)n1', 'Cn1ccc(C(F)(F)F)n1']; [0.9999966621398926, 0.9999956488609314, 0.9999927878379822, 0.9994882345199585, 0.9970718622207642, 0.9673987627029419]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
 CC1(C)Cc2cc(-c3cnc4occc4c3)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cnc4occc4c3)c2c1; [None]; [None]; [0]
-Oc1ccc2cccc(-c3cnc4occc4c3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2cnc3occc3c2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cnc3occc3c2)ccc1Cl; [None]; [None]; [0]
-Clc1cnc(-c2cnc3occc3c2)nc1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cnc4occc4c3)c2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['COc1ccc2cccc(Br)c2c1', 'COc1ccc2ccccc2c1']; [0.9999989867210388, 0.803588330745697]
 Cc1csc2c(-c3cnc4occc4c3)ncnc12; [None]; [None]; [0]
-Cc1nc(Nc2cnc3occc3c2)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2cnc3occc3c2)nn1C; [None]; [None]; [0]
-Nc1cc(-c2cnc3occc3c2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(-c2cnc3occc3c2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc3occc3c2)c1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3cnc4occc4c3)c2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['Oc1ccc2cccc(Br)c2c1', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Oc1ccc2cccc(I)c2c1']; [0.9999990463256836, 0.999995231628418, 0.9999949336051941]
+Clc1cnc(-c2cnc3occc3c2)nc1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1']; [0.9999762177467346, 0.9998855590820312]
+Cc1nc(Nc2cnc3occc3c2)sc1C; ['Cc1nc(Br)sc1C', 'Brc1cnc2occc2c1', 'Cc1nc(Cl)sc1C']; ['Nc1cnc2occc2c1', 'Cc1nc(N)sc1C', 'Nc1cnc2occc2c1']; [0.9997944235801697, 0.9994839429855347, 0.9993289709091187]
+COc1cc(F)c(-c2cnc3occc3c2)cc1OC; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1ccc(F)cc1OC']; [0.9999812841415405, 0.9999760389328003, 0.9998101592063904, 0.9961835145950317, 0.9398401975631714]
+Cc1cc(Nc2cnc3occc3c2)nn1C; ['Cc1cc(Br)nn1C', 'Cc1cc(Cl)nn1C', 'Brc1cnc2occc2c1']; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Cc1cc(N)nn1C']; [0.9999419450759888, 0.9996418952941895, 0.9959831237792969]
+COc1cc(-c2cnc3occc3c2)ccc1Cl; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1ccccc1Cl']; [0.9999997615814209, 0.9999994039535522, 0.999998927116394, 0.9999985694885254, 0.999964714050293, 0.9998363852500916, 0.8264298439025879]
+CCNC(=O)c1ccc(-c2cnc3occc3c2)nc1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc(Cl)nc1']; [0.9999850392341614, 0.999436616897583]
+OCCn1cc(-c2cnc3occc3c2)cn1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1']; [0.9999266862869263, 0.9998369216918945, 0.997512936592102]
+O=C(Nc1cnc2occc2c1)c1ccco1; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1']; [0.9994620680809021, 0.9963082671165466]
+Nc1cc(-c2cnc3occc3c2)c2cc[nH]c2n1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Cl)c2cc[nH]c2n1', 'Nc1cc(Br)c2cc[nH]c2n1']; [0.9999986886978149, 0.999994158744812, 0.9880253076553345]
+COc1cc(-c2cnc3occc3c2)c(OC)cc1Br; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; [0.9999743700027466, 0.9990291595458984, 0.9963158369064331, 0.9247130155563354]
+NC(=O)c1ccc(Cc2cnc3occc3c2)cc1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['NC(=O)c1ccc(CBr)cc1']; [0.9965294599533081]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cnc3occc3c2)cc1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cnc3occc3c1)cn2C; ['Brc1cnc2occc2c1']; ['COc1ccc2c(ccn2C)c1']; [0.998517632484436]
+COc1ccc2oc(-c3cnc4occc4c3)cc2c1; ['Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'COc1ccc2occc2c1']; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2occc2c1', 'Nc1cnc2occc2c1']; [0.9999039173126221, 0.9997197389602661, 0.995333194732666]
+O=C(Nc1cn[nH]c1)c1cccc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cnc3occc3c2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1', 'Brc1cnc2occc2c1']; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'CC(C)(C)c1ccc(C(N)=O)cc1']; [0.9999449253082275, 0.9997067451477051, 0.9979950189590454, 0.9897695779800415]
 O=S(=O)(CCO)c1ccc(Cc2cnc3occc3c2)cc1; [None]; [None]; [0]
-O=C(Nc1cnc2occc2c1)c1ccco1; [None]; [None]; [0]
+c1cc2cc(-c3ccc4cn[nH]c4c3)cnc2o1; ['Brc1cnc2occc2c1', 'Brc1ccc2cn[nH]c2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1ccc2cn[nH]c2c1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Ic1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1', 'Brc1cnc2occc2c1']; [0.9999988079071045, 0.9999975562095642, 0.9999959468841553, 0.9999752044677734, 0.9999614953994751, 0.9912256598472595]
 CO[C@@H]1CC[C@@H](c2cnc3occc3c2)CC1; [None]; [None]; [0]
+CCn1cc(-c2cnc3occc3c2)cn1; ['Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; [0.9999488592147827, 0.9955041408538818]
 CCNC(=O)N1CCC(c2cnc3occc3c2)CC1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cnc3occc3c1)cn2C; [None]; [None]; [0]
-COc1ccc2oc(-c3cnc4occc4c3)cc2c1; [None]; [None]; [0]
-c1cc2cc(-c3ccc4cn[nH]c4c3)cnc2o1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnc3occc3c2)cc1; [None]; [None]; [0]
-CCn1cc(-c2cnc3occc3c2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-c1ccc2oc(-c3cnc4occc4c3)cc2c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3cnc4occc4c3)c2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cnc3occc3c2)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CNC(=O)c1ccc(OC)c(Br)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; [0.9999839067459106, 0.9561220407485962]
+c1cc2cc(-c3ncc4sccc4n3)cnc2o1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['Clc1ncc2sccc2n1']; [0.9999789595603943]
+c1ccc2oc(-c3cnc4occc4c3)cc2c1; ['Brc1cc2ccccc2o1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Nc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'OB(O)c1cc2ccccc2o1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'c1ccc2occc2c1', 'c1ccc2occc2c1']; [0.9999915957450867, 0.999933123588562, 0.99986732006073, 0.995606005191803, 0.971713662147522]
+CC(C)c1nn(C)cc1-c1cnc2occc2c1; ['CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1ccn(C)n1']; [0.9999959468841553, 0.9999924302101135, 0.999990701675415, 0.8575931787490845]
+COc1ccc(F)c(C(=O)Nc2cnc3occc3c2)c1; ['COc1ccc(F)c(C(=O)O)c1', 'Brc1cnc2occc2c1']; ['Nc1cnc2occc2c1', 'COc1ccc(F)c(C(N)=O)c1']; [0.9992743730545044, 0.9946814775466919]
 Cn1cc(Br)cc1-c1cnc2occc2c1; [None]; [None]; [0]
-c1cc2cc(-c3ncc4sccc4n3)cnc2o1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnc2occc2c1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnc3occc3c2)c1)N1CCCC1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3cnc4occc4c3)c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccccc1']; [1.0, 0.9999996423721313, 0.9999995231628418, 0.9999967813491821, 0.9993599653244019, 0.9861544370651245]
 COc1ccc2nc(-c3cnc4occc4c3)[nH]c2c1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cnc3occc3c2)c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3occc3c2)c2ccccc21; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cnc4occc4c3)[nH]c2c1; [None]; [None]; [0]
-CCc1cccc(-c2cnc3occc3c2)n1; [None]; [None]; [0]
-c1cc2cc(-c3ncn4c3CCCC4)cnc2o1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cnc3occc3c2)c1)N1CCCC1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
+c1cc2cc(-c3ncn4c3CCCC4)cnc2o1; ['Brc1cnc2occc2c1']; ['c1ncn2c1CCCC2']; [0.9268973469734192]
+CCc1cccc(-c2cnc3occc3c2)n1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CCc1cccc(Br)n1', 'CCc1cccc(Br)n1']; [0.9999978542327881, 0.9901425838470459]
 Cc1cc(-c2cnc3occc3c2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc4occc4c3)ccc21; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cnc4occc4c3)[nH]c2c1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cnc4occc4c3)cn2)CC1; ['Brc1cnc2occc2c1']; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; [0.9999960660934448]
+O=C(Nc1cnc2occc2c1)c1cccc(OC(F)(F)F)c1; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'COC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1', 'Nc1cnc2occc2c1']; [0.9999940395355225, 0.9998689889907837, 0.9989417791366577, 0.9909441471099854]
+Cn1ncc2cc(-c3cnc4occc4c3)ccc21; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.9999988079071045, 0.9999985694885254, 0.9999969005584717, 0.9999960660934448, 0.9999880790710449, 0.9970288276672363]
+CN(C)c1ccc(-c2cnc3occc3c2)cn1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(Br)cn1']; [0.9999843835830688, 0.9999747276306152, 0.9999719858169556, 0.9999300241470337, 0.9993520379066467, 0.9700540900230408]
+Cc1n[nH]c2cc(-c3cnc4occc4c3)ccc12; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1', 'Brc1cnc2occc2c1']; ['Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; [1.0, 1.0, 0.9999998211860657, 0.9999980330467224, 0.9999908804893494, 0.9990312457084656]
+O=C1CCCN1c1cccc(-c2cnc3occc3c2)c1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999785423278809, 0.9999639987945557, 0.9868713021278381]
+OCCc1ccc(-c2cnc3occc3c2)cc1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1']; [0.9999961853027344, 0.9999723434448242, 0.9999383687973022, 0.9999330639839172, 0.9609514474868774]
 Cn1nc(Cl)c2cc(-c3cnc4occc4c3)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3occc3c2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnc4occc4c3)ccc12; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cnc4occc4c3)cn2)CC1; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2cnc3occc3c2)c1; [None]; [None]; [0]
-OCCc1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-O=C(Nc1cnc2occc2c1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3occc3c2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cnc4occc4c3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cnc2occc2c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['COc1cc(S(C)(=O)=O)ccc1Br']; [0.9999886751174927]
+CNC(=O)c1ccc(-c2cnc3occc3c2)c(OC)c1; ['Brc1cnc2occc2c1', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; [0.999984622001648, 0.9999457597732544]
+CN(C)C(=O)c1ccc(-c2cnc3occc3c2)c(Cl)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3occc3c2)cc1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; [0.9999963045120239, 0.9999854564666748]
 COc1cc(N2CCNCC2)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3occc3c2)c(OC)c1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cnc3occc3c2)cc1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CCNC(=O)Cc1ccc(Br)cc1']; [0.9999969005584717]
+CN(C)C(=O)c1ccc(-c2cnc3occc3c2)nc1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3occc3c2)OC1(C)C', 'Brc1cnc2occc2c1']; ['CN(C)C(=O)c1ccc(Br)nc1', 'CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; [0.9999935626983643, 0.9999521970748901, 0.9927132725715637]
+Cc1cc(Nc2cnc3occc3c2)ncc1F; ['Cc1cc(Br)ncc1F', 'Cc1cc(Cl)ncc1F', 'Brc1cnc2occc2c1']; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Cc1cc(N)ncc1F']; [0.9998452067375183, 0.9976414442062378, 0.9750992059707642]
+Fc1ccc(Nc2cnc3occc3c2)nc1; ['Fc1ccc(Br)nc1', 'Fc1ccc(Cl)nc1', 'Brc1cnc2occc2c1', 'Fc1ccc(F)nc1']; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1ccc(F)cn1', 'Nc1cnc2occc2c1']; [0.9983930587768555, 0.9963029026985168, 0.8647093176841736, 0.757409930229187]
+c1ccc(Nc2cnc3occc3c2)nc1; ['Clc1ccccn1', 'Brc1ccccn1', 'Brc1cnc2occc2c1']; ['Nc1cnc2occc2c1', 'Nc1cnc2occc2c1', 'Nc1ccccn1']; [0.997594952583313, 0.9947932958602905, 0.9754647016525269]
+Cc1cc(N2CCOCC2)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
 Cn1nc(-c2cnc3occc3c2)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnc3occc3c2)cc1; [None]; [None]; [0]
-Fc1ccc(Nc2cnc3occc3c2)nc1; [None]; [None]; [0]
-Cc1cc(Nc2cnc3occc3c2)ncc1F; [None]; [None]; [0]
-c1ccc(Nc2cnc3occc3c2)nc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cnc3occc3c2)c1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1cnc2occc2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnc3occc3c2)c1; ['CC1(C)OB(c2cnc3occc3c2)OC1(C)C']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; [0.9999967813491821]
+COc1ccc2c(-c3cccc(O)c3)ccnc2c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'COc1ccc2c(Cl)ccnc2c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9999850988388062, 0.9999513626098633, 0.9999050498008728, 0.9996883869171143, 0.9995152950286865, 0.9868699312210083, 0.9714933633804321]
 CNC(=O)c1ccc(C)c(-c2cnc3occc3c2)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-c1cnc2occc2c1; [None]; [None]; [0]
+COc1ccc2c(Oc3ccc(F)cc3)ccnc2c1; ['COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(O)ccnc2c1']; ['OB(O)c1ccc(F)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1', 'Fc1ccc(I)cc1', 'Fc1ccc(Br)cc1', 'Fc1ccc(Cl)cc1', 'Fc1ccc(F)cc1']; [0.9998780488967896, 0.9997284412384033, 0.9994626641273499, 0.9994311332702637, 0.9992372989654541, 0.9972447156906128, 0.9861160516738892]
+COc1ccc2c(-c3cccc4ncccc34)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(Cl)c(O)c3)ccnc2c1; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'COc1ccc2c(Cl)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(I)ccc1Cl', 'Oc1cc(Br)ccc1Cl', 'COc1ccc2c(Cl)ccnc2c1', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999798536300659, 0.9998855590820312, 0.9997513294219971, 0.9996402263641357, 0.9995590448379517, 0.996935248374939]
+CNS(=O)(=O)c1ccc(-c2ccnc3cc(OC)ccc23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; [0.9999749660491943, 0.9998786449432373, 0.9998689293861389, 0.9994041919708252, 0.9987237453460693, 0.9084056615829468]
+COc1ccc2c(-c3c(Cl)ccc4c3OCO4)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3n[nH]c4ccccc34)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(C(N)=O)cc3F)ccnc2c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'COc1ccc2c(Cl)ccnc2c1', 'NC(=O)c1ccc(Cl)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1']; [0.9999513626098633, 0.9998745918273926, 0.9997462034225464, 0.997964084148407, 0.9957726001739502, 0.9925554990768433, 0.971531867980957, 0.7676633596420288]
+COc1ccc2c(-c3c(Cl)cccc3Cl)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(C(N)=O)cc3OC)ccnc2c1; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1cccc(C(N)=O)c1']; [0.9999887943267822, 0.999922513961792, 0.9823280572891235]
+COc1ccc2c(-c3ccc(C(N)=O)cc3)ccnc2c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccccc1', 'COc1ccc2cccnc2c1']; [0.9999988079071045, 0.9999723434448242, 0.9999363422393799, 0.9999325275421143, 0.9998754858970642, 0.9996623992919922, 0.9995858669281006, 0.9994962215423584, 0.9929470419883728, 0.9562243223190308]
+COc1ccc2c(-c3ccc(O)cc3Cl)ccnc2c1; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1']; [0.9999669790267944, 0.9998301267623901, 0.9998027086257935, 0.9959320425987244, 0.9739235639572144, 0.9456874132156372]
+COc1ccc2c(-c3ccnc(N)n3)ccnc2c1; ['COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1']; ['Nc1nccc(Cl)n1']; [0.9997822046279907]
+COc1ccc2c(-c3ccc(O)cc3F)ccnc2c1; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'Oc1ccc(Br)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(I)c(F)c1', 'COc1ccc2c(Cl)ccnc2c1', 'Oc1ccc(Br)c(F)c1', 'Oc1ccc(Cl)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Oc1cccc(F)c1']; [0.999860405921936, 0.9998184442520142, 0.9995065927505493, 0.9985998868942261, 0.9969437718391418, 0.9932150840759277, 0.9929220676422119, 0.9870379567146301, 0.9857480525970459, 0.9136922955513]
+COc1ccc2c(-c3cc(F)c4nc(C)[nH]c4c3)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cn[nH]c3Cl)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(C(=O)[O-])cc3)ccnc2c1; ['COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1']; ['O=C([O-])c1ccc(Cl)cc1', 'O=C([O-])c1ccccc1']; [0.9961218237876892, 0.9785507917404175]
+COc1ccc2c(-c3cc(F)ccc3OC)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(F)cc3OC)ccnc2c1; [None]; [None]; [0]
 COc1ccc2c(-c3ccc(-c4ccc(O)cc4O)cc3)ccnc2c1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccnc3cc(OC)ccc23)o1; ['COC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccco1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(N)ccnc2c1']; [0.999937891960144, 0.9998797178268433, 0.9968968033790588, 0.9856186509132385, 0.9765869379043579, 0.9714202880859375, 0.9169542193412781]
+COc1ccc2c(-c3ccc(O)c(OC)c3)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cccc(Br)c3)ccnc2c1; ['Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'Brc1cccc(Br)c1', 'Br[Mg]c1cccc(Br)c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'F[B-](F)(F)c1cccc(Br)c1']; [0.9999839067459106, 0.9998718500137329, 0.9998530149459839, 0.9996806383132935, 0.9987680315971375, 0.9980751276016235, 0.9841277599334717, 0.9745931625366211, 0.9008606672286987]
+COc1ccc2c(CCc3ccc(O)c(OC)c3)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cn(C)c4ccccc34)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1']; ['Cn1ccc2ccccc21']; [0.9935612678527832]
+COc1ccc2c(-c3ccc4ccccc4c3)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(O)c(F)c3)ccnc2c1; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'COc1ccc2c(Cl)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F', 'Oc1ccc(I)cc1F', 'COc1ccc2c(Cl)ccnc2c1', 'OB(O)c1ccc(O)c(F)c1']; [0.9999977350234985, 0.9999667406082153, 0.9999569654464722, 0.9999492168426514, 0.9999016523361206, 0.9981683492660522]
+COc1ccc2c(-c3ccc(O)cc3O)ccnc2c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccnc3cc(OC)ccc23)c1; [None]; [None]; [0]
+COc1ccc2c(COc3ccccc3Cl)ccnc2c1; [None]; [None]; [0]
 COc1ccc2c(-c3cnn4ncccc34)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccnc(N)c3)ccnc2c1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'Nc1cc(Br)ccn1', 'COc1ccc2c(Cl)ccnc2c1', 'Nc1cc(I)ccn1', 'Nc1cc(Cl)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1']; [0.9999979138374329, 0.9999922513961792, 0.9999860525131226, 0.9999716281890869, 0.9999324083328247, 0.9999042749404907, 0.999558687210083]
+COc1ccc2c(-c3ccc(F)c(Cl)c3)ccnc2c1; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2cccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(I)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'COc1ccc2c(Cl)ccnc2c1', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc([B-](F)(F)F)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc([Mg]Br)cc1Cl', 'Fc1ccccc1Cl', 'OB(O)c1ccc(F)c(Cl)c1']; [1.0, 0.9999994039535522, 0.9999982714653015, 0.9999982118606567, 0.9999978542327881, 0.9999649524688721, 0.9998777508735657, 0.9997832179069519, 0.9994872808456421, 0.994968056678772, 0.9949137568473816, 0.9701818227767944]
+COc1ccc2c(-c3c[nH]c4cnccc34)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3[nH]cnc3-c3ccc(F)cc3)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.9820300936698914]
+COc1ccc2c(-c3cc(O)ccc3Cl)ccnc2c1; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'Oc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(O)ccc1Cl', 'Oc1ccc(Cl)c(I)c1', 'OB(O)c1cc(O)ccc1Cl', 'Oc1ccc(Cl)c(Br)c1']; [0.9999262094497681, 0.9997801780700684, 0.999015212059021, 0.9988043904304504, 0.9779535531997681, 0.9667879343032837]
+COc1ccc2c(-c3c[nH]c(C(N)=O)c3)ccnc2c1; ['COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1']; ['NC(=O)c1cc(Br)c[nH]1']; [0.9997532963752747]
+COc1ccc2c(-c3cc(CO)ccc3C)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1B(O)O']; [0.9999765157699585, 0.9999209642410278, 0.9993686676025391, 0.9992608428001404, 0.9988754987716675, 0.9834688901901245]
+COc1ccc2c(-c3c(C)ccc4[nH]ncc34)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1Br']; [0.9999956488609314, 0.9999530911445618, 0.9999401569366455, 0.9999197721481323, 0.9998335838317871, 0.9951081275939941, 0.981501579284668, 0.981480062007904]
+COc1ccc2c(-c3cnc(O)c(Cl)c3)ccnc2c1; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(I)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncccc1Cl']; [0.9999986886978149, 0.999963641166687, 0.9999496936798096, 0.9999054670333862, 0.9948776364326477, 0.9850384593009949]
+COc1cc(OC)cc(-c2ccnc3cc(OC)ccc23)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1cccc(OC)c1', 'COc1cccc(OC)c1']; [0.9999780654907227, 0.9999725818634033, 0.9999424815177917, 0.9999158382415771, 0.9998827576637268, 0.9998265504837036, 0.9997172355651855, 0.9997062683105469, 0.9979080557823181, 0.9824815988540649, 0.9711222648620605, 0.8351435661315918, 0.7970349788665771]
+COc1ccc2c(-c3ccc(OC)c(OC)c3)ccnc2c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(C(=O)CCCl)cc1OC', 'COc1ccc([B-](F)(F)F)cc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1cccc(N)c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccccc1OC', 'COc1ccccc1OC']; [0.9999963045120239, 0.9999614357948303, 0.9999556541442871, 0.999940037727356, 0.9999336004257202, 0.999783456325531, 0.9985038638114929, 0.9977458715438843, 0.996501088142395, 0.9933948516845703, 0.9592999815940857, 0.9506211280822754]
+COc1ccc2c(-c3cnc4[nH]ccc4c3)ccnc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1ccc2c(Cl)ccnc2c1', 'Brc1cnc2[nH]ccc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'COc1ccc2c(Br)ccnc2c1']; [0.999997615814209, 0.9999971389770508, 0.999990701675415, 0.9999881982803345, 0.9999817609786987, 0.9997861385345459, 0.9987074136734009]
+COc1ccc2c(-c3ccc(NC(N)=O)cc3)ccnc2c1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'NC(=O)Nc1ccc(Br)cc1']; [0.999988317489624, 0.9998446702957153, 0.9960358142852783]
+CNC(=O)c1cccc2cc(-c3ccnc4cc(OC)ccc34)ccc12; [None]; [None]; [0]
+COc1ccc2c(-c3ccc4nc(C)[nH]c4c3)ccnc2c1; [None]; [None]; [0]
+CCOc1cccc(-c2ccnc3cc(OC)ccc23)c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(S(C)(=O)=O)cc3)ccnc2c1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; [0.999998927116394, 0.9999879598617554, 0.9999459981918335, 0.9999457597732544, 0.9999439716339111, 0.9999004602432251, 0.9998980760574341, 0.9900916814804077]
+COc1cc(CCc2ccnc3cc(OC)ccc23)cc(OC)c1; [None]; [None]; [0]
+COc1ccc2c(-c3cncc(O)c3)ccnc2c1; ['COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['Oc1cncc(I)c1', 'COc1ccc2c(Br)ccnc2c1', 'Oc1cncc(Br)c1', 'OB(O)c1cncc(O)c1', 'COc1ccc2c(Cl)ccnc2c1', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1']; [0.9998873472213745, 0.9998772144317627, 0.9997888803482056, 0.9989942312240601, 0.997638463973999, 0.9866143465042114, 0.9685250520706177]
+COc1ccc2c(-c3nc4ccccc4s3)ccnc2c1; ['COc1ccc2c(C(=O)O)ccnc2c1', 'COc1ccc2c(C#N)ccnc2c1', 'COc1ccc2c(C)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(C(=O)O)ccnc2c1']; ['Nc1ccccc1S', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1Cl', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999940395355225, 0.9999711513519287, 0.9998852014541626, 0.9990184307098389, 0.9960401058197021]
+CNc1nccc(-c2ccnc3cc(OC)ccc23)n1; ['CNc1nccc(Cl)n1', 'CNc1ncccn1']; ['COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; [0.9993858337402344, 0.8597042560577393]
+COc1ccc2c(-c3ccc4c(c3)CC(=O)N4)ccnc2c1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'COc1ccc2c(Br)ccnc2c1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'COc1ccc2c(Cl)ccnc2c1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9999901652336121, 0.9999102354049683, 0.9998539090156555, 0.9996800422668457, 0.999619722366333, 0.9994741678237915, 0.9990954399108887, 0.9944643378257751, 0.8472116589546204]
 COc1ccc2c(N(C)c3ccc4c(C)n[nH]c4c3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(O)n4nccc4n3)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(N(C)c3cccc(Cl)c3)ccnc2c1; ['CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; [0.9965913891792297, 0.962843656539917]
+COc1ccc2c(-c3[nH]nc(C)c3C)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1']; ['Cc1c[nH]nc1C']; [0.9994543790817261]
+CCc1cc(O)ccc1-c1ccnc2cc(OC)ccc12; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Cl', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cccc(O)c1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; [0.9998184442520142, 0.9997676610946655, 0.9968304634094238, 0.9894436001777649, 0.9782891273498535, 0.9028886556625366]
+COc1ccc2c(-c3ccc(O)cc3C)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; [0.9999464750289917, 0.9994422197341919, 0.9983683824539185, 0.9936424493789673, 0.99344801902771, 0.9872217774391174, 0.9846396446228027, 0.9499877691268921, 0.8339809775352478]
+CCc1cc(O)c(F)cc1-c1ccnc2cc(OC)ccc12; [None]; [None]; [0]
+COc1ccc2c(-c3ccncc3Cl)ccnc2c1; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'Clc1cnccc1Br', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1I', 'COc1ccc2c(Cl)ccnc2c1', 'Clc1ccncc1Cl', 'OB(O)c1ccncc1Cl']; [0.9999504685401917, 0.9998217821121216, 0.9998149275779724, 0.9997302293777466, 0.9990309476852417, 0.9982352256774902, 0.9937121868133545]
+COc1ccc2c([C@H](C)CC(N)=O)ccnc2c1; [None]; [None]; [0]
+CNc1nc(-c2ccnc3cc(OC)ccc23)ncc1F; ['CNc1nc(Cl)ncc1F']; ['COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1']; [0.999998927116394]
+COc1ccc2c(-c3cc(O)n4nccc4n3)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1']; ['Oc1ccnc2ccnn12']; [0.9979157447814941]
+COc1ccc2c(-c3ccc4c(c3)CCN4)ccnc2c1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'COc1ccc2c(Br)ccnc2c1', 'Brc1ccc2c(c1)CCN2', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'Brc1ccc2c(c1)CCN2', 'Brc1ccc2c(c1)CCN2']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'OB(O)c1ccc2c(c1)CCN2', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'Ic1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'Clc1ccc2c(c1)CCN2', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; [0.9999982714653015, 0.9999516606330872, 0.9998079538345337, 0.9997864961624146, 0.9997611045837402, 0.9984837770462036, 0.9978761672973633, 0.9972996711730957, 0.9577415585517883, 0.9285487532615662]
+COc1ccc2c(-c3cc(Cl)c(O)c(Cl)c3)ccnc2c1; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cccc1Cl']; [0.9999722242355347, 0.9998594522476196, 0.9997100830078125, 0.9994887113571167, 0.989901065826416, 0.9841679334640503]
+COc1ccc2c(-c3ccc4[nH]c(=O)[nH]c4c3)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(=O)cc[nH]c2c1', 'COc1ccc2c(Br)ccnc2c1']; ['O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'O=c1[nH]c2ccccc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.9999929666519165, 0.9999922513961792, 0.999980092048645, 0.9999635219573975, 0.9999518990516663, 0.9999346137046814, 0.9997043609619141, 0.9979422092437744, 0.9673819541931152]
+COc1ccc2c(Nc3ccncc3)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(N)ccnc2c1', 'Brc1ccncc1', 'COc1ccc2c(N)ccnc2c1', 'COc1ccc2c(N)ccnc2c1']; ['Nc1ccncc1', 'Nc1ccncc1', 'Clc1ccncc1', 'COc1ccc2c(N)ccnc2c1', 'Ic1ccncc1', 'c1cc[n+](-c2ccncc2)cc1']; [0.999995231628418, 0.9999701976776123, 0.9998644590377808, 0.9998505711555481, 0.999760627746582, 0.9978196620941162]
+COc1ccc2c(-c3cc(C(F)F)n[nH]3)ccnc2c1; [None]; [None]; [0]
+CCc1sccc1-c1ccnc2cc(OC)ccc12; [None]; [None]; [0]
 COc1ccc2c(-c3cc(C(=O)[O-])c(C)o3)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(N(C)c3cccc4[nH]ncc34)ccnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3ocnc3-c3ccc(F)cc3)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3[nH]nc4ccc(F)cc34)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(N)ccnc2c1']; ['Fc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; [0.9998189806938171, 0.9958384037017822]
+COc1ccc2c(-c3c(N)cnn3C)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(N(C)c3cccc4[nH]ncc34)ccnc2c1; ['CNc1cccc2[nH]ncc12', 'CNc1cccc2[nH]ncc12']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; [0.9997667074203491, 0.998884379863739]
+CNC(=O)c1ccc(-c2ccnc3cc(OC)ccc23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; [0.9999889135360718, 0.9999197721481323, 0.9998667240142822, 0.9996112585067749, 0.9993163347244263, 0.9955676794052124, 0.8699910640716553]
+COc1ccc2c(-c3ccc(Br)cc3F)ccnc2c1; ['COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['Fc1cc(Br)ccc1I', 'COc1ccc2c(Br)ccnc2c1', 'Fc1cc(Br)ccc1Br', 'COc1ccc2c(Cl)ccnc2c1', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Cl', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1Cl', 'Fc1cccc(Br)c1']; [0.9999732971191406, 0.9999363422393799, 0.9999342560768127, 0.9998424053192139, 0.9994553327560425, 0.9993036389350891, 0.9990580081939697, 0.9962089657783508, 0.9934245347976685, 0.9870955944061279, 0.9730532169342041, 0.8929073810577393]
+COc1ccc2c(-c3cc(O)cc(Br)c3)ccnc2c1; ['COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C']; ['Oc1cc(Br)cc(I)c1', 'OB(O)c1cc(O)cc(Br)c1', 'COc1ccc2c(Br)ccnc2c1', 'Oc1cc(Br)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'COc1ccc2c(Cl)ccnc2c1']; [0.9999521374702454, 0.99905925989151, 0.997294545173645, 0.9967442750930786, 0.9962173700332642, 0.902564525604248]
+COc1ccc2c(-c3ccc(C(N)=O)c(C)c3)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; [0.9999996423721313, 0.999993085861206, 0.9999886751174927]
+COc1ccc2c(-c3ccc(C(=O)NC4CC4)cc3)ccnc2c1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'COc1ccc2c(Cl)ccnc2c1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999988079071045, 0.9999904036521912, 0.9999663829803467, 0.9999512434005737, 0.9999399781227112, 0.9999068379402161, 0.9998801946640015, 0.9846407175064087]
+COc1ccc2c(-c3ccc4nc(C)oc4c3)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; [0.9999997019767761, 0.9999992847442627, 0.9999938011169434, 0.9999910593032837, 0.9999771118164062, 0.9965664148330688]
+COc1ccc2c(-c3cc(C)c(O)c(C)c3)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O']; [0.9997093677520752, 0.9996910691261292, 0.999038577079773, 0.9978095293045044, 0.997550368309021, 0.9939649105072021, 0.989284873008728, 0.8020075559616089]
+COc1ccc2c(-c3cc(F)c(O)c(F)c3)ccnc2c1; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['COc1ccc2c(Br)ccnc2c1', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(Br)cc1F', 'COc1ccc2c(Cl)ccnc2c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cccc1F', 'Oc1c(F)cccc1F']; [0.9999455213546753, 0.9998916983604431, 0.999659538269043, 0.9996089935302734, 0.9979212284088135, 0.9907573461532593, 0.875541090965271, 0.7605410814285278]
+COc1ccc2c(OCc3cccc4ccccc34)ccnc2c1; [None, 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(=O)cc[nH]c2c1', 'BrCc1cccc2ccccc12', 'BrCc1cccc2ccccc12', 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; [None, 'ClCc1cccc2ccccc12', 'ClCc1cccc2ccccc12', 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(=O)cc[nH]c2c1', 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0, 0.9999643564224243, 0.9999418258666992, 0.9999207854270935, 0.9999069571495056, 0.9996500015258789, 0.9993892908096313, 0.9986519813537598]
+COc1ccc2c(-c3ccc4c(=O)[nH][nH]c4c3)ccnc2c1; ['COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2ccccc12', 'O=c1[nH][nH]c2ccccc12']; [0.9999057054519653, 0.9136154651641846, 0.7801975607872009]
+COc1ccc2c(Oc3ccc(F)cc3F)ccnc2c1; ['COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(O)ccnc2c1']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F', 'Fc1ccc(Br)c(F)c1', 'Fc1ccc(Cl)c(F)c1', 'Fc1ccc(F)c(F)c1', 'OB(O)c1ccc(F)cc1F']; [0.9999980926513672, 0.9999971389770508, 0.999995231628418, 0.9999841451644897, 0.9999129772186279, 0.9998993277549744]
+COc1ccc2c(-c3cccc(SC)c3)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(B3OC(C)(C)C(C)(C)O3)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1', 'CSc1cccc([Mg]Br)c1', 'CSc1cccc([Mg]Br)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc([B-](F)(F)F)c1', 'CSc1cccc(Br)c1']; [0.9999995231628418, 0.9999861717224121, 0.999982476234436, 0.9999535083770752, 0.9999083280563354, 0.9985243082046509, 0.9982467293739319, 0.997933030128479, 0.9978170394897461, 0.9972940683364868, 0.9828428030014038]
+COc1ccc2c(CCc3c[nH]c4ccccc34)ccnc2c1; ['BrCCc1c[nH]c2ccccc12']; ['COc1ccc2c(Cl)ccnc2c1']; [0.7706321477890015]
+COc1ccc2c(-c3ocnc3-c3ccc(F)cc3)ccnc2c1; ['COc1ccc2c(Br)ccnc2c1']; ['Fc1ccc(-c2cocn2)cc1']; [0.9993913173675537]
+COc1ccc2c(NCc3c(F)cccc3Cl)ccnc2c1; ['COc1ccc2c(N)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(N)ccnc2c1', 'COc1ccc2c(N)ccnc2c1', 'COc1ccc2c(Cl)ccnc2c1']; ['O=Cc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CBr', 'Fc1cccc(Cl)c1CCl', 'NCc1c(F)cccc1Cl']; [0.9999635219573975, 0.9999593496322632, 0.9999222755432129, 0.999454140663147, 0.9991552829742432]
+COc1ccc2c(-c3c(-c4ccccc4)noc3C)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(OCc3ccc(F)cc3F)ccnc2c1; [None, 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(=O)cc[nH]c2c1', 'COc1ccc2c(=O)cc[nH]c2c1', 'COc1ccc2c(Cl)ccnc2c1', 'COc1ccc2c(=O)cc[nH]c2c1', 'COc1ccc2c(O)ccnc2c1', 'COc1ccc2c(Br)ccnc2c1', 'COc1ccc2c(N)ccnc2c1']; [None, 'Fc1ccc(CCl)c(F)c1', 'Fc1ccc(CBr)c(F)c1', 'Fc1ccc(CCl)c(F)c1', 'Fc1ccc(CBr)c(F)c1', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F']; [0, 0.9999977350234985, 0.9999839067459106, 0.9999833703041077, 0.9999544620513916, 0.9999210238456726, 0.9999200105667114, 0.999874472618103, 0.9997639656066895, 0.9994471073150635]
+COc1ccc2c(-c3cn[nH]c3-c3ccc(Cl)cc3)ccnc2c1; [None]; [None]; [0]
+COc1ccc2c(CCc3ccc(F)cc3F)ccnc2c1; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cccc3ncccc23)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cccc(O)c2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2c(Cl)cccc2Cl)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(Cl)c(O)c2)c1C; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c(C)[nH]c(C)c2C)cc1; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2n[nH]c3ccccc23)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2c(Cl)ccc3c2OCO3)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(Oc2ccc(F)cc2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(C(N)=O)cc2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(O)cc2F)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(C(N)=O)cc2F)c1C; [None]; [None]; [0]
+COc1ccc(F)cc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccnc(N)n2)c1C; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(O)cc2Cl)c1C; [None]; [None]; [0]
+COc1cc(F)ccc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3c(C)[nH]c(C)c3C)cc2[nH]1; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cn[nH]c2Cl)c1C; [None]; [None]; [0]
+COc1cc(-c2c(C)[nH]c(C)c2C)ccc1O; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cccc(Br)c2)c1C; [None]; [None]; [0]
+COC(=O)c1ccc(-c2c(C)[nH]c(C)c2C)o1; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(C(=O)[O-])cc2)c1C; [None]; [None]; [0]
 Cc1[nH]c(C)c(-c2ccc(-c3ccc(O)cc3O)cc2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc3ccccc3c2)c1C; [None]; [None]; [0]
+COc1cc(CCc2c(C)[nH]c(C)c2C)ccc1O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2c(C)[nH]c(C)c2C)c1; [None]; [None]; [0]
 Cc1[nH]c(C)c(-c2cnn3ncccc23)c1C; [None]; [None]; [0]
-Cc1[nH]c(C)c(-c2cc(O)n3nccc3n2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(O)cc2O)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cn(C)c3ccccc23)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(COc2ccccc2Cl)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(O)c(F)c2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2c[nH]c3cnccc23)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccnc(N)c2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(F)c(Cl)c2)c1C; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2[nH]cnc2-c2ccc(F)cc2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cc(O)ccc2Cl)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2c[nH]c(C(N)=O)c2)c1C; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cnc(O)c(Cl)c2)c1C; [None]; [None]; [0]
+COc1cc(OC)cc(-c2c(C)[nH]c(C)c2C)c1; [None]; [None]; [0]
+COc1ccc(-c2c(C)[nH]c(C)c2C)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3c(C)[nH]c(C)c3C)ccc12; [None]; [None]; [0]
+COc1cc(CCc2c(C)[nH]c(C)c2C)cc(OC)c1; [None]; [None]; [0]
+Cc1nc2ccc(-c3c(C)[nH]c(C)c3C)cc2[nH]1; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(NC(N)=O)cc2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2nc3ccccc3s2)c1C; ['Cc1[nH]c(C)c(C=O)c1C']; ['Nc1ccccc1S']; [0.9997624158859253]
+CCOc1cccc(-c2c(C)[nH]c(C)c2C)c1; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(S(C)(=O)=O)cc2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cnc3[nH]ccc3c2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc3c(c2)CC(=O)N3)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c([C@H](C)CC(N)=O)c1C; [None]; [None]; [0]
+CNc1nccc(-c2c(C)[nH]c(C)c2C)n1; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cncc(O)c2)c1C; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
 Cc1[nH]c(C)c(N(C)c2ccc3c(C)n[nH]c3c2)c1C; [None]; [None]; [0]
+Cc1n[nH]c(-c2c(C)[nH]c(C)c2C)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(N(C)c2cccc(Cl)c2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cc(C(F)F)n[nH]2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cc(Cl)c(O)c(Cl)c2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccncc2Cl)c1C; [None]; [None]; [0]
+CCc1sccc1-c1c(C)[nH]c(C)c1C; [None]; [None]; [0]
+CNc1nc(-c2c(C)[nH]c(C)c2C)ncc1F; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cc(O)n3nccc3n2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc3c(c2)CCN3)c1C; [None]; [None]; [0]
 Cc1[nH]c(C)c(-c2cc(C(=O)[O-])c(C)o2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc3[nH]c(=O)[nH]c3c2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2c(N)cnn2C)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(Nc2ccncc2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(Br)cc2F)c1C; [None]; [None]; [0]
 Cc1[nH]c(C)c(N(C)c2cccc3[nH]ncc23)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2[nH]nc3ccc(F)cc23)c1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c(C)[nH]c(C)c2C)cc1; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cc(O)cc(Br)c2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc(C(=O)NC3CC3)cc2)c1C; [None]; [None]; [0]
+Cc1nc2ccc(-c3c(C)[nH]c(C)c3C)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2c(C)[nH]c(C)c2C)ccc1C(N)=O; [None]; [None]; [0]
+Cc1[nH]c(C)c(CCc2c[nH]c3ccccc23)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cc(F)c(O)c(F)c2)c1C; [None]; [None]; [0]
+Cc1cc(-c2c(C)[nH]c(C)c2C)cc(C)c1O; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2ccc3c(=O)[nH][nH]c3c2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(OCc2cccc3ccccc23)c1C; [None]; [None]; [0]
+CSc1cccc(-c2c(C)[nH]c(C)c2C)c1; [None]; [None]; [0]
 Cc1[nH]c(C)c(-c2ocnc2-c2ccc(F)cc2)c1C; [None]; [None]; [0]
-Oc1ccc(-c2ccc(-c3cnc4cccnn34)cc2)c(O)c1; [None]; [None]; [0]
-c1cnn2ncc(-c3cnc4cccnn34)c2c1; [None]; [None]; [0]
-Cc1n[nH]c2cc(N(C)c3cnc4cccnn34)ccc12; [None]; [None]; [0]
-Oc1cc(-c2cnc3cccnn23)nc2ccnn12; [None]; [None]; [0]
-Cc1oc(-c2cnc3cccnn23)cc1C(=O)[O-]; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2-c2cnc3cccnn23)cc1; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)c1cnc2cccnn12; [None]; [None]; [0]
-O=c1c2c(F)cccc2cnn1-c1cnc2cccnn12; [None]; [None]; [0]
-Cc1c(-c2cnc3cccnn23)sc(=O)n1C; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cnc3cccnn23)o1; [None]; [None]; [0]
-CN1c2ccc(-c3cnc4cccnn34)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2cnc3cccnn23)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cnc3cccnn23)nn1; [None]; [None]; [0]
-c1cnn2c(CCc3c[nH]nn3)cnc2c1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cnc2cccnn12; [None]; [None]; [0]
-O=C(Nc1cnc2cccnn12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-CC(C)(COc1cnc2cccnn12)S(C)(=O)=O; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2cnc3cccnn23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1cnc2cccnn12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-O=c1[nH]cc(Br)c2sc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2cnc3cccnn23)cc1; [None]; [None]; [0]
-CN(c1cnc2cccnn12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-C[C@H](Nc1cnc2cccnn12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-c1ccc(-c2ccc3nnc(Cc4cnc5cccnn45)n3n2)cc1; [None]; [None]; [0]
-O=S(=O)(Cc1cnc2cccnn12)NCc1ccccn1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1cnc2cccnn12; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2cnc3cccnn23)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cnc4cccnn34)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc4cccnn34)c2)cc1; [None]; [None]; [0]
-c1cc(-c2cnc3cccnn23)c2snnc2c1; [None]; [None]; [0]
-COc1ccc(Oc2cnc3cccnn23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cnc3cccnn23)c1)C1CCNCC1; [None]; [None]; [0]
+Cc1[nH]c(C)c(Oc2ccc(F)cc2F)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(NCc2c(F)cccc2Cl)c1C; ['Cc1[nH]c(C)c(C=O)c1C']; ['NCc1c(F)cccc1Cl']; [0.999825656414032]
+Cc1[nH]c(C)c(-c2c(-c3ccccc3)noc2C)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(-c2cn[nH]c2-c2ccc(Cl)cc2)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(CCc2ccc(F)cc2F)c1C; [None]; [None]; [0]
+Cc1[nH]c(C)c(OCc2ccc(F)cc2F)c1C; [None]; [None]; [0]
+CCOc1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1coc2cc(O)ccc2c1=O; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.9986093044281006]
+CNC(=O)c1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+COC(C)(C)CCc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2coc3cc(O)ccc3c2=O)[nH]1; [None]; [None]; [0]
+O=c1c(Cc2cc(F)cc(F)c2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2ccnc3ccccc23)coc2cc(O)ccc12; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+CCn1cc(-c2coc3cc(O)ccc3c2=O)cn1; [None]; [None]; [0]
+O=c1c(-c2ccccc2OC(F)(F)F)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2cccc(C(F)(F)F)c2)coc2cc(O)ccc12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1coc2cc(O)ccc2c1=O; ['NC(=O)c1ccccc1B(O)O']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.9826966524124146]
+O=C([O-])c1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+Cn1cnc2ccc(-c3coc4cc(O)ccc4c3=O)cc2c1=O; [None]; [None]; [0]
+O=c1c(-c2cnc(-c3ccccc3)[nH]2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2cnn(Cc3ccccc3)c2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2cnn(CCO)c2)coc2cc(O)ccc12; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2coc3cc(O)ccc3c2=O)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2coc3cc(O)ccc3c2=O)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c(-n2ncc3cccc(F)c3c2=O)coc2cc(O)ccc12; [None]; [None]; [0]
+COc1cnc(-c2coc3cc(O)ccc3c2=O)nc1; [None]; [None]; [0]
+O=c1c(-c2cc(Cl)ccc2Cl)coc2cc(O)ccc12; [None]; [None]; [0]
+Cc1ccc(-c2coc3cc(O)ccc3c2=O)c(Br)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+O=c1c(-c2cnc3ccccn23)coc2cc(O)ccc12; [None]; [None]; [0]
+Cc1nc(C)c(-c2coc3cc(O)ccc3c2=O)s1; [None]; [None]; [0]
+O=c1c(-c2c(Cl)cccc2Cl)coc2cc(O)ccc12; ['O=c1ccoc2cc(O)ccc12', 'Clc1cccc(Cl)c1I']; ['OB(O)c1c(Cl)cccc1Cl', 'O=c1ccoc2cc(O)ccc12']; [0.9953403472900391, 0.9137645959854126]
+Cc1nc(N)sc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+O=c1c(-c2cnc3cccnn23)coc2cc(O)ccc12; [None]; [None]; [0]
+CNc1nc(C)c(-c2coc3cc(O)ccc3c2=O)s1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
+O=c1c(-c2cccc(Cn3cncn3)c2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2cccc(Br)c2)coc2cc(O)ccc12; [None]; [None]; [0]
+Nc1nccc(-c2coc3cc(O)ccc3c2=O)n1; [None]; [None]; [0]
 Cc1c(-c2coc3cc(O)ccc3c2=O)sc(=O)n1C; [None]; [None]; [0]
+O=c1c(NCc2cccnc2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(Nc2cccnc2)coc2cc(O)ccc12; ['Nc1cccnc1']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.9181783199310303]
+O=c1c(-n2cnc3ccccc32)coc2cc(O)ccc12; ['O=c1c(Cl)coc2cc(O)ccc12']; ['c1ccc2[nH]cnc2c1']; [0.9982806444168091]
+O=c1c(NCCc2c[nH]cn2)coc2cc(O)ccc12; [None]; [None]; [0]
 O=c1c(-c2cnn3ncccc23)coc2cc(O)ccc12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2coc3cc(O)ccc3c2=O)o1; [None]; [None]; [0]
+O=c1c(-c2ccc3ccccc3c2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=C(Nc1coc2cc(O)ccc2c1=O)c1cccs1; [None]; [None]; [0]
+O=c1c(-c2c[nH]nc2C(F)(F)F)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(NCCc2ccccc2)coc2cc(O)ccc12; ['NCCc1ccccc1']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.824134349822998]
+O=c1c(-c2cncc3ccccc23)coc2cc(O)ccc12; ['O=c1c(Cl)coc2cc(O)ccc12']; ['OB(O)c1cncc2ccccc12']; [0.9961543083190918]
+O=C([O-])Cc1cccc(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3coc4cc(O)ccc4c3=O)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3coc4cc(O)ccc4c3=O)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3coc4cc(O)ccc4c3=O)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2coc3cc(O)ccc3c2=O)ccc1C(=O)[O-]; [None]; [None]; [0]
+O=c1c(NCc2ccc(Cl)cc2)coc2cc(O)ccc12; [None]; [None]; [0]
+Cn1ncc2cc(-c3coc4cc(O)ccc4c3=O)ccc21; [None]; [None]; [0]
+O=c1c(-c2ccc(-c3cn[nH]c3)cc2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(NCc2ccccc2F)coc2cc(O)ccc12; ['NCc1ccccc1F']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.992809534072876]
+CCCn1cnc(-c2coc3cc(O)ccc3c2=O)n1; [None]; [None]; [0]
 CC(C)n1cc(-c2coc3cc(O)ccc3c2=O)nn1; [None]; [None]; [0]
+O=c1c(-c2cccc(O)c2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2cccc(CO)c2)coc2cc(O)ccc12; ['O=c1c(Cl)coc2cc(O)ccc12']; ['OCc1cccc(B(O)O)c1']; [0.998801052570343]
+O=c1c(Nc2ccncc2)coc2cc(O)ccc12; [None]; [None]; [0]
+COc1cc(-c2coc3cc(O)ccc3c2=O)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(C)c1oncc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+CSc1nc(-c2coc3cc(O)ccc3c2=O)c[nH]1; [None]; [None]; [0]
+O=c1c(-c2csc3ncncc23)coc2cc(O)ccc12; [None]; [None]; [0]
 O=c1c(CCc2c[nH]nn2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2cc3ccccc3[nH]2)coc2cc(O)ccc12; [None]; [None]; [0]
+N#CCCc1cccc(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
+Nc1nc(-c2coc3cc(O)ccc3c2=O)cs1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2coc3cc(O)ccc3c2=O)cc1; ['CCC(N)=O', 'CCC(=O)O', 'CCC(N)=O']; ['O=c1c(-c2ccc(Br)cc2)coc2cc(O)ccc12', 'O=c1c(-c2ccc([N+](=O)[O-])cc2)coc2cc(O)ccc12', 'O=c1c(-c2ccc(Cl)cc2)coc2cc(O)ccc12']; [0.9804342985153198, 0.8418135643005371, 0.7881210446357727]
+Nc1ncncc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+CCNc1nc2ccc(-c3coc4cc(O)ccc4c3=O)cc2s1; [None]; [None]; [0]
+O=c1c(-c2ccc(F)cc2C(F)(F)F)coc2cc(O)ccc12; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+O=c1c(Oc2ccccn2)coc2cc(O)ccc12; [None]; [None]; [0]
+NC(=O)CCCc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2coc3cc(O)ccc3c2=O)CC1; [None]; [None]; [0]
 O=C(Nc1coc2cc(O)ccc2c1=O)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2coc3cc(O)ccc3c2=O)c2ccccc21; [None]; [None]; [0]
+COc1ccc(-c2coc3cc(O)ccc3c2=O)cc1Cl; [None]; [None]; [0]
+CCCn1cc(-c2coc3cc(O)ccc3c2=O)cn1; [None]; [None]; [0]
+O=c1c(-c2cnn3ccccc23)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1cc(-c2coc3cc(O)ccc3c2=O)cc[nH]1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.998733401298523]
 CC(C)(COc1coc2cc(O)ccc2c1=O)S(C)(=O)=O; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2coc3cc(O)ccc3c2=O)cc1C(F)(F)F; [None]; [None]; [0]
+O=C1CCc2cccc(-c3coc4cc(O)ccc4c3=O)c21; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
 C[C@@H](Oc1coc2cc(O)ccc2c1=O)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-O=c1c(-c2cc3c(=O)[nH]cc(Br)c3s2)coc2cc(O)ccc12; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
+CCN(CC)c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+COc1cc(CCc2coc3cc(O)ccc3c2=O)cc(OC)c1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+COc1ccncc1Nc1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3coc4cc(O)ccc4c3=O)cc12; [None]; [None]; [0]
 O=c1c(Nc2cnccc2-c2ccccc2)coc2cc(O)ccc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
+O=c1c(-c2cc3c(=O)[nH]cc(Br)c3s2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(Nc2cnc3ccccc3c2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2c[nH]c3cnccc23)coc2cc(O)ccc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.9777212142944336]
+CNS(=O)(=O)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
+O=c1c(-c2cnc3[nH]ccc3c2)coc2cc(O)ccc12; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+O=c1c(-c2ccc(N3CCOCC3)cc2)coc2cc(O)ccc12; ['C1COCCN1', 'C1COCCN1', 'O=C(ON1CCOCC1)c1ccccc1']; ['O=c1c(-c2ccc(Br)cc2)coc2cc(O)ccc12', 'O=c1c(-c2ccc(Cl)cc2)coc2cc(O)ccc12', 'O=c1c(-c2ccccc2)coc2cc(O)ccc12']; [0.9979739189147949, 0.9641768932342529, 0.9464553594589233]
+CC1(c2coc3cc(O)ccc3c2=O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1coc2cc(O)ccc2c1=O)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.9965057373046875]
+C[C@H](Nc1coc2cc(O)ccc2c1=O)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1coc2cc(O)ccc2c1=O)C(C)(C)O; [None]; [None]; [0]
+Cc1cc(-c2coc3cc(O)ccc3c2=O)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+O=c1c(-n2ccc(CO)n2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2c(F)cccc2Cl)coc2cc(O)ccc12; [None]; [None]; [0]
 C[C@H](Nc1coc2cc(O)ccc2c1=O)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+O=c1c(-n2cnc(CCO)c2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-n2ncc3c(O)cccc32)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2ccc(-n3cncn3)cc2)coc2cc(O)ccc12; ['O=c1c(-c2ccc(Br)cc2)coc2cc(O)ccc12']; ['c1nc[nH]n1']; [0.9999843835830688]
+O=c1c(-n2ncc3ccccc32)coc2cc(O)ccc12; [None]; [None]; [0]
+CSc1nc(C)c(-c2coc3cc(O)ccc3c2=O)[nH]1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2coc3cc(O)ccc3c2=O)cc1; [None]; [None]; [0]
+O=c1c(-c2nc3ccc(O)cc3[nH]2)coc2cc(O)ccc12; [None]; [None]; [0]
+COc1ccc(-c2coc3cc(O)ccc3c2=O)c(OC)c1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2coc3cc(O)ccc3c2=O)CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2coc3cc(O)ccc3c2=O)n1; [None]; [None]; [0]
+O=c1c(-c2cn(Cc3ccccc3)nn2)coc2cc(O)ccc12; [None]; [None]; [0]
+CCc1cc(-c2coc3cc(O)ccc3c2=O)nc(N)n1; [None]; [None]; [0]
+O=c1c(-c2nncn2C2CC2)coc2cc(O)ccc12; [None]; [None]; [0]
 O=c1c(Cc2nnc3ccc(-c4ccccc4)nn23)coc2cc(O)ccc12; [None]; [None]; [0]
 O=c1c(CS(=O)(=O)NCc2ccccn2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=C(CCc1coc2cc(O)ccc2c1=O)NCc1ccccn1; [None]; [None]; [0]
+Nc1nnc(-c2coc3cc(O)ccc3c2=O)s1; [None]; [None]; [0]
+CCCCc1cc(-c2coc3cc(O)ccc3c2=O)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2coc3cc(O)ccc3c2=O)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2coc3cc(O)ccc3c2=O)c(F)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2coc3cc(O)ccc3c2=O)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2coc3cc(O)ccc3c2=O)CC1; [None]; [None]; [0]
+O=c1c(-c2nc3ccccc3s2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2cccc3ccsc23)coc2cc(O)ccc12; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3coc4cc(O)ccc4c3=O)nc2NC1=O; [None]; [None]; [0]
+Nc1cncc(-c2coc3cc(O)ccc3c2=O)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3coc4cc(O)ccc4c3=O)c2)cc1; [None]; [None]; [0]
 O=c1c(-c2cccc3nnsc23)coc2cc(O)ccc12; [None]; [None]; [0]
-COc1ccc(Oc2coc3cc(O)ccc3c2=O)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2coc3cc(O)ccc3c2=O)n1; [None]; [None]; [0]
+Nc1nc(-c2coc3cc(O)ccc3c2=O)nc2ccccc12; [None]; [None]; [0]
+O=c1c(-c2ncc3ccccc3n2)coc2cc(O)ccc12; [None]; [None]; [0]
+O=c1c(-c2c[nH]c3cccnc23)coc2cc(O)ccc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2coc3cc(O)ccc3c2=O)[nH]1; [None]; [None]; [0]
+O=c1c(-c2cn(CCO)cn2)coc2cc(O)ccc12; [None]; [None]; [0]
+COc1ccc(Oc2coc3cc(O)ccc3c2=O)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.8502520322799683]
+O=c1c(-c2ncc3cc[nH]c3n2)coc2cc(O)ccc12; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+COc1ccc(OC)c(-c2coc3cc(O)ccc3c2=O)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2coc3cc(O)ccc3c2=O)c1; ['CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.9994641542434692]
+O=c1c(N2CC=C(c3c[nH]c4ccccc34)CC2)coc2cc(O)ccc12; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['O=c1c(Cl)coc2cc(O)ccc12']; [0.97294020652771]
+COc1ncccc1-c1coc2cc(O)ccc2c1=O; [None]; [None]; [0]
+O=c1c(N2CCC(c3nc4ccccc4[nH]3)CC2)coc2cc(O)ccc12; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2coc3cc(O)ccc3c2=O)CC1; [None]; [None]; [0]
+CN(C)c1cc(-c2coc3cc(O)ccc3c2=O)cnn1; [None]; [None]; [0]
+COc1cc(C=Cc2cc(O)cc(O)c2)ccc1O; ['C=Cc1ccc(O)c(OC)c1', 'C=Cc1ccc(O)c(OC)c1', 'C[Si](C)(C)C=[N+]=[N-]', None, 'COc1cc(C=O)ccc1O']; ['OB(O)c1cc(O)cc(O)c1', 'Oc1cc(O)cc(Br)c1', 'Oc1cc(O)cc(C=Cc2ccc(O)c(O)c2)c1', None, 'O=C(O)Cc1cc(O)cc(O)c1']; [0.9980391263961792, 0.9857216477394104, 0.9708722829818726, 0, 0.8025180101394653]
 O=C(Nc1cccc(-c2coc3cc(O)ccc3c2=O)c1)C1CCNCC1; [None]; [None]; [0]
+O=C1Nc2ccc(Cl)cc2C1=Cc1cc(O)cc(O)c1; [None]; [None]; [0]
+Oc1ccc(C=Cc2cc(O)cc(O)c2)cc1; [None]; [None]; [0]
+Oc1cc(O)cc(C=Cc2ccc(O)cc2O)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Oc1ccc2sc(Cc3cc(F)cc(F)c3)nc2c1; [None]; [None]; [0]
+COC(C)(C)CCc1nc2cc(O)ccc2s1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2nc3cc(O)ccc3s2)[nH]1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Oc1ccc2sc(-c3ccnc4ccccc34)nc2c1; ['Brc1ccnc2ccccc12', 'Ic1ccnc2ccccc12']; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9715076088905334, 0.963654637336731]
+Oc1ccc2sc(-c3ccccc3OC(F)(F)F)nc2c1; ['FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'O=Cc1ccccc1OC(F)(F)F']; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9948742389678955, 0.9806267023086548, 0.8724148273468018]
+CCn1cc(-c2nc3cc(O)ccc3s2)cn1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cccc(C(F)(F)F)c3)nc2c1; ['FC(F)(F)c1cccc(I)c1', 'O=C(O)Cc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'C=Cc1cccc(C(F)(F)F)c1', 'O=Cc1cccc(C(F)(F)F)c1']; ['Oc1ccc2scnc2c1', 'O=[N+]([O-])c1cc(O)ccc1Cl', 'Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9994503259658813, 0.9989143013954163, 0.9957399964332581, 0.919960618019104, 0.7814748287200928]
+NC(=O)c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3nc4cc(O)ccc4s3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Oc1ccc2scnc2c1']; [0.9950286149978638]
+O=C([O-])c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cnn(Cc4ccccc4)c3)nc2c1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cnc(-c4ccccc4)[nH]3)nc2c1; [None]; [None]; [0]
+OCCn1cc(-c2nc3cc(O)ccc3s2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2nc3cc(O)ccc3s2)cs1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cc(Cl)ccc3Cl)nc2c1; ['Clc1ccc(Cl)c(Br)c1']; ['Oc1ccc2scnc2c1']; [0.9910909533500671]
+Cc1ccc(-c2nc3cc(O)ccc3s2)c(Br)c1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
-Cc1c(-c2nc3cc(O)ccc3s2)sc(=O)n1C; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2nc3cc(O)ccc3s2)o1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nc3cc(O)ccc3s2)c1)c1ccccc1; [None]; [None]; [0]
+COc1cnc(-c2nc3cc(O)ccc3s2)nc1; [None]; [None]; [0]
+CC(C)C(=O)COc1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Cc1nc(C)c(-c2nc3cc(O)ccc3s2)s1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cnc4ccccn34)nc2c1; [None]; [None]; [0]
+Oc1ccc2sc(-c3c(Cl)cccc3Cl)nc2c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2nc3cc(O)ccc3s2)c1; ['Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1']; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9914282560348511, 0.9524440169334412]
+Oc1ccc2sc(-c3cccc(Br)c3)nc2c1; ['O=C(O)Cc1cccc(Br)c1', 'Brc1cccc(I)c1', 'O=Cc1cccc(Br)c1', 'C=Cc1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['O=[N+]([O-])c1cc(O)ccc1Cl', 'Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9998798370361328, 0.9775537252426147, 0.9424256682395935, 0.9087950587272644, 0.7889622449874878]
+Oc1ccc2sc(NCc3cccnc3)nc2c1; ['NCc1cccnc1', 'Nc1nc2cc(O)ccc2s1', 'Nc1nc2cc(O)ccc2s1', 'BrCc1cccnc1']; ['Oc1ccc2sc(Cl)nc2c1', 'OCc1cccnc1', 'O=Cc1cccnc1', 'Nc1nc2cc(O)ccc2s1']; [0.9977889060974121, 0.9969465136528015, 0.98615562915802, 0.9048913717269897]
+CNc1nc(C)c(-c2nc3cc(O)ccc3s2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cccc(Cn4cncn4)c3)nc2c1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
+Oc1ccc2sc(Nc3cccnc3)nc2c1; ['Nc1cc(O)ccc1Br', 'Nc1cccnc1', 'Clc1cccnc1']; ['S=C=Nc1cccnc1', 'Oc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(O)ccc2s1']; [0.9999006986618042, 0.9994782209396362, 0.9784258604049683]
+O=C(Nc1nc2cc(O)ccc2s1)c1cccs1; ['Nc1nc2cc(O)ccc2s1', 'Nc1nc2cc(O)ccc2s1']; ['O=C(O)c1cccs1', 'O=C(Cl)c1cccs1']; [0.9999698400497437, 0.9998600482940674]
+Oc1ccc2sc(-c3ccc4ccccc4c3)nc2c1; ['Ic1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1']; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9945597648620605, 0.9498777389526367]
+Oc1ccc2sc(NCCc3c[nH]cn3)nc2c1; ['NCCc1c[nH]cn1']; ['Oc1ccc2sc(Cl)nc2c1']; [0.9950779676437378]
 Oc1ccc2sc(-c3cnn4ncccc34)nc2c1; [None]; [None]; [0]
+Cc1c(-c2nc3cc(O)ccc3s2)sc(=O)n1C; [None]; [None]; [0]
+Oc1ccc2sc(-c3cncc4ccccc34)nc2c1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Ic1cncc2ccccc12', 'Brc1cncc2ccccc12']; ['Oc1ccc2sc(Cl)nc2c1', 'Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9999926090240479, 0.999085545539856, 0.9700644016265869]
+Oc1ccc2sc(-c3c[nH]nc3C(F)(F)F)nc2c1; [None]; [None]; [0]
+Nc1nccc(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
+Oc1ccc2sc(-n3cnc4ccccc43)nc2c1; [None]; [None]; [0]
+Oc1ccc2sc(NCCc3ccccc3)nc2c1; ['NCCc1ccccc1']; ['Oc1ccc2sc(Cl)nc2c1']; [0.9369878172874451]
+O=C([O-])Cc1cccc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Cn1ncc2cc(-c3nc4cc(O)ccc4s3)ccc21; [None]; [None]; [0]
+Oc1ccc2sc(NCc3ccc(Cl)cc3)nc2c1; ['Nc1nc2cc(O)ccc2s1', 'NCc1ccc(Cl)cc1', 'Nc1nc2cc(O)ccc2s1']; ['OCc1ccc(Cl)cc1', 'Oc1ccc2sc(Cl)nc2c1', 'O=Cc1ccc(Cl)cc1']; [0.9978477954864502, 0.9907883405685425, 0.7746999263763428]
+Nc1[nH]nc2cc(-c3nc4cc(O)ccc4s3)ccc12; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3nc4cc(O)ccc4s3)cc2)cn1; [None]; [None]; [0]
+Oc1ccc2sc(-c3ccc(-c4cn[nH]c4)cc3)nc2c1; [None]; [None]; [0]
 CN1c2ccc(-c3nc4cc(O)ccc4s3)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2nc3cc(O)ccc3s2)ccc1C(=O)[O-]; [None]; [None]; [0]
+OCc1cccc(-c2nc3cc(O)ccc3s2)c1; ['OCc1cccc(I)c1']; ['Oc1ccc2scnc2c1']; [0.9912760257720947]
+Oc1ccc2sc(NCc3ccccc3F)nc2c1; ['NCc1ccccc1F', 'Nc1nc2cc(O)ccc2s1', 'Fc1ccccc1CBr', 'Nc1nc2cc(O)ccc2s1']; ['Oc1ccc2sc(Cl)nc2c1', 'OCc1ccccc1F', 'Nc1nc2cc(O)ccc2s1', 'O=Cc1ccccc1F']; [0.9999780058860779, 0.9998117685317993, 0.9997050166130066, 0.9891836643218994]
+Oc1ccc2sc(Nc3ccncc3)nc2c1; ['Nc1ccncc1', 'Nc1cc(O)ccc1Br', 'Clc1ccncc1', 'Nc1cc(O)ccc1O']; ['Oc1ccc2sc(Cl)nc2c1', 'S=C=Nc1ccncc1', 'Nc1nc2cc(O)ccc2s1', 'S=C=Nc1ccncc1']; [0.9999437928199768, 0.9984071254730225, 0.99506676197052, 0.9735224843025208]
+Oc1cccc(-c2nc3cc(O)ccc3s2)c1; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1']; [0.98044353723526, 0.8010485768318176]
+CCCn1cnc(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
+Oc1ccc2sc(-c3csc4ncncc34)nc2c1; ['Brc1csc2ncncc12']; ['Oc1ccc2scnc2c1']; [0.9793977737426758]
 CC(C)n1cc(-c2nc3cc(O)ccc3s2)nn1; [None]; [None]; [0]
+COc1cc(-c2nc3cc(O)ccc3s2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(C)c1oncc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cc4ccccc4[nH]3)nc2c1; [None]; [None]; [0]
+CSc1nc(-c2nc3cc(O)ccc3s2)c[nH]1; [None]; [None]; [0]
 Oc1ccc2sc(CCc3c[nH]nn3)nc2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
+Oc1ccc2sc(-c3ccc(F)cc3C(F)(F)F)nc2c1; ['Fc1ccc(Br)c(C(F)(F)F)c1']; ['Oc1ccc2scnc2c1']; [0.9724194407463074]
+Nc1nc(-c2nc3cc(O)ccc3s2)cs1; [None]; [None]; [0]
+Oc1ccc2sc(Oc3ccccn3)nc2c1; ['Oc1ccc2sc(Cl)nc2c1']; ['Oc1ccccn1']; [0.8983817100524902]
+CCC(=O)Nc1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
+Nc1ncncc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+O=C(Nc1nc2cc(O)ccc2s1)c1c(Cl)cccc1Cl; ['Nc1nc2cc(O)ccc2s1', 'Nc1nc2cc(O)ccc2s1']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.9999345541000366, 0.9997565746307373]
+NC(=O)CCCc1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Cn1cc(-c2nc3cc(O)ccc3s2)c2ccccc21; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2nc3cc(O)ccc3s2)c1; ['CC(=O)Nc1cccc(Br)c1']; ['Oc1ccc2scnc2c1']; [0.9676238298416138]
+CCNc1nc2ccc(-c3nc4cc(O)ccc4s3)cc2s1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2nc3cc(O)ccc3s2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Oc1ccc2scnc2c1', 'Oc1ccc2sc(Cl)nc2c1']; [0.9908044338226318, 0.9883511662483215]
 CC(C)(O)CC(=O)NCCc1nc2cc(O)ccc2s1; [None]; [None]; [0]
-O=C(Nc1nc2cc(O)ccc2s1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2nc3cc(O)ccc3s2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2nc3cc(O)ccc3s2)cn1; ['CCCn1cc(I)cn1']; ['Oc1ccc2scnc2c1']; [0.9901084899902344]
+COc1ccc(-c2nc3cc(O)ccc3s2)cc1Cl; ['COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9988401532173157, 0.9956384301185608]
+Oc1ccc2sc(-c3cnn4ccccc34)nc2c1; ['Ic1cnn2ccccc12', 'Brc1cnn2ccccc12']; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9985650777816772, 0.9613375663757324]
 CC(C)(COc1nc2cc(O)ccc2s1)S(C)(=O)=O; [None]; [None]; [0]
+O=c1cc(-c2nc3cc(O)ccc3s2)cc[nH]1; ['O=c1cc(Br)cc[nH]1']; ['Oc1ccc2scnc2c1']; [0.8876843452453613]
+[NH3+]Cc1ccc(-c2nc3cc(O)ccc3s2)cc1C(F)(F)F; [None]; [None]; [0]
+COc1cc(CCc2nc3cc(O)ccc3s2)cc(OC)c1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3nc4cc(O)ccc4s3)c21; ['O=C1CCc2cccc(Br)c21']; ['Oc1ccc2scnc2c1']; [0.9889851212501526]
+C[S@](=O)c1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
+COc1ccncc1Nc1nc2cc(O)ccc2s1; ['COc1ccncc1N', 'COc1ccncc1Br']; ['Oc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(O)ccc2s1']; [0.9999902248382568, 0.9999152421951294]
+CCNS(=O)(=O)c1ccccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+CCN(CC)c1nc2cc(O)ccc2s1; ['CCNCC']; ['Oc1ccc2sc(Cl)nc2c1']; [0.9746673107147217]
 C[C@@H](Oc1nc2cc(O)ccc2s1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
+Oc1ccc2sc(Nc3cnccc3-c3ccccc3)nc2c1; ['Nc1cnccc1-c1ccccc1', 'Brc1cnccc1-c1ccccc1']; ['Oc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(O)ccc2s1']; [0.9999674558639526, 0.9991841316223145]
+CC(C)Oc1cncc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
+Oc1ccc2sc(Nc3cnc4ccccc4c3)nc2c1; ['Nc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['Oc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(O)ccc2s1']; [0.9999704360961914, 0.9939889907836914]
 O=c1[nH]cc(Br)c2sc(-c3nc4cc(O)ccc4s3)cc12; [None]; [None]; [0]
-Oc1ccc2sc(Nc3cnccc3-c3ccccc3)nc2c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1nc2cc(O)ccc2s1; ['COc1cccc(F)c1I']; ['Oc1ccc2scnc2c1']; [0.9998837113380432]
+CC(C)(C)c1ccc(-c2nc3cc(O)ccc3s2)cc1; ['CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9846200346946716, 0.9772548675537109]
+O=c1[nH]ccc2oc(-c3nc4cc(O)ccc4s3)cc12; [None]; [None]; [0]
+Oc1ccc2sc(-c3c[nH]c4cnccc34)nc2c1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cnc4[nH]ccc4c3)nc2c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3cc(O)ccc3s2)cc1; [None]; [None]; [0]
+Oc1ccc2sc(-c3ccc(N4CCOCC4)cc3)nc2c1; ['Brc1ccc(N2CCOCC2)cc1']; ['Oc1ccc2scnc2c1']; [0.9987355470657349]
+CS(=O)(=O)c1ccc(-c2nc3cc(O)ccc3s2)cc1; ['CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9817780256271362, 0.9631215929985046]
 CN(c1nc2cc(O)ccc2s1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@H](Nc1nc2cc(O)ccc2s1)C(C)(C)O; ['C[C@H](N)C(C)(C)O']; ['Oc1ccc2sc(Cl)nc2c1']; [0.9928029775619507]
+C[C@@H](Nc1nc2cc(O)ccc2s1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Oc1ccc2sc(Cl)nc2c1']; [0.9928029775619507]
+OCc1ccn(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
+Oc1ccc2sc(-c3c(F)cccc3Cl)nc2c1; [None]; [None]; [0]
+CC1(c2nc3cc(O)ccc3s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Cc1cc(-c2nc3cc(O)ccc3s2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1nc2cc(O)ccc2s1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-Oc1ccc2sc(Cc3nnc4ccc(-c5ccccc5)nn34)nc2c1; [None]; [None]; [0]
+OCCc1cn(-c2nc3cc(O)ccc3s2)cn1; [None]; [None]; [0]
+Oc1ccc2sc(-c3ccc(-n4cncn4)cc3)nc2c1; [None]; [None]; [0]
+COc1ccc(-c2nc3cc(O)ccc3s2)c(OC)c1; ['COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(C=O)c(OC)c1']; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9988080263137817, 0.9907678365707397, 0.7574633359909058]
+Oc1ccc2sc(-n3ncc4c(O)cccc43)nc2c1; [None]; [None]; [0]
+Oc1ccc2sc(-n3ncc4ccccc43)nc2c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2nc3cc(O)ccc3s2)cc1; ['O=C(c1ccccc1)c1ccc(Br)cc1']; ['Oc1ccc2scnc2c1']; [0.9949802160263062]
+Oc1ccc2sc(-c3nc4ccc(O)cc4[nH]3)nc2c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2nc3cc(O)ccc3s2)CC1; [None]; [None]; [0]
+CSc1nc(C)c(-c2nc3cc(O)ccc3s2)[nH]1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+Oc1ccc2sc(-c3nncn3C3CC3)nc2c1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
+Oc1ccc2sc(Cc3nnc4ccc(-c5ccccc5)nn34)nc2c1; [None]; [None]; [0]
+O=C(CCc1nc2cc(O)ccc2s1)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1nc2cc(O)ccc2s1)NCc1ccccn1; [None]; [None]; [0]
+CCc1cc(-c2nc3cc(O)ccc3s2)nc(N)n1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cn(Cc4ccccc4)nn3)nc2c1; [None]; [None]; [0]
+Nc1nnc(-c2nc3cc(O)ccc3s2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2nc3cc(O)ccc3s2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3cc(O)ccc3s2)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2nc3cc(O)ccc3s2)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2nc3cc(O)ccc3s2)CC1; [None]; [None]; [0]
+Oc1ccc2sc(-c3nc4ccccc4s3)nc2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3nc4cc(O)ccc4s3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3nc4cc(O)ccc4s3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
+Oc1ccc2sc(-c3cccc4ccsc34)nc2c1; ['Brc1cccc2ccsc12', 'O=Cc1cccc2ccsc12']; ['Oc1ccc2scnc2c1', 'Oc1ccc2scnc2c1']; [0.9945579767227173, 0.9642626047134399]
 Oc1ccc2sc(-c3cccc4nnsc34)nc2c1; [None]; [None]; [0]
+Oc1ccc2sc(-c3c[nH]c4cccnc34)nc2c1; ['Brc1c[nH]c2cccnc12']; ['Oc1ccc2scnc2c1']; [0.9604688882827759]
+COc1ccc(C#N)cc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2nc3cc(O)ccc3s2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2nc3cc(O)ccc3s2)nc2ccccc12; [None]; [None]; [0]
+Oc1ccc2sc(-c3ncc4ccccc4n3)nc2c1; [None]; [None]; [0]
+Oc1ccc2sc(-c3ncc4cc[nH]c4n3)nc2c1; [None]; [None]; [0]
+OCCn1cnc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
 COc1ccc(Oc2nc3cc(O)ccc3s2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2nc3cc(O)ccc3s2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2nc3cc(O)ccc3s2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
+COc1ncccc1-c1nc2cc(O)ccc2s1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2nc3cc(O)ccc3s2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2nc3cc(O)ccc3s2)cnn1; [None]; [None]; [0]
+Oc1ccc2sc(N3CCC(c4nc5ccccc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
+Oc1ccc2sc(N3CC=C(c4c[nH]c5ccccc45)CC3)nc2c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Oc1ccc2sc(Cl)nc2c1']; [0.9982510805130005]
+COc1ccc2sc(CCC(C)(C)OC)nc2c1; ['COC(C)(C)CBr']; ['COc1ccc2sc(C)nc2c1']; [0.9667795300483704]
+CNC(=O)c1ccccc1-c1nc2cc(OC)ccc2s1; [None]; [None]; [0]
+CCOc1ccccc1-c1nc2cc(OC)ccc2s1; ['CCOc1ccccc1C=O', 'CCOc1ccccc1C=O', 'CCOc1ccccc1CN', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1C=O']; ['COc1ccc(I)c(N)c1', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; [0.9999987483024597, 0.9999949932098389, 0.9999883770942688, 0.9997669458389282, 0.9885326623916626, 0.8623429536819458]
+CCn1cc(-c2nc3cc(OC)ccc3s2)cn1; ['CCn1cc(C(=O)O)cn1']; ['COc1ccc2scnc2c1']; [0.9958970546722412]
+COc1ccc2sc(Cc3cc(F)cc(F)c3)nc2c1; ['COc1ccc2sc(C)nc2c1']; ['Fc1cc(F)cc(Br)c1']; [0.9994674921035767]
+COc1ccc2sc(-c3ccnc4ccccc34)nc2c1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'Brc1ccnc2ccccc12', 'COc1ccc2scnc2c1']; ['COc1ccc2sc(Br)nc2c1', 'O=Cc1ccnc2ccccc12', 'O=Cc1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'NCc1ccnc2ccccc12', 'Cc1ccnc2ccccc12', 'COc1ccc2scnc2c1', 'Ic1ccnc2ccccc12']; [0.9999890327453613, 0.9999319314956665, 0.9998906850814819, 0.999267578125, 0.9980494976043701, 0.9957304000854492, 0.9947282075881958, 0.9942309856414795]
 O=C(Nc1cccc(-c2nc3cc(O)ccc3s2)c1)C1CCNCC1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccccc3C(=O)[O-])nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccccc3S(=O)(=O)C(C)C)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cccc(C(F)(F)F)c3)nc2c1; ['COc1ccc(I)c(N)c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(I)c(N)c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'C=Cc1cccc(C(F)(F)F)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; ['O=Cc1cccc(C(F)(F)F)c1', 'COc1ccc2sc(Br)nc2c1', 'O=Cc1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'NCc1cccc(C(F)(F)F)c1', 'NCc1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'O=C(O)Cc1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'O=C(O)c1cccc(C(F)(F)F)c1', 'COc1ccc2scnc2c1', 'FC(F)(F)c1ccccc1', 'O=S([O-])c1cccc(C(F)(F)F)c1', 'O=Cc1cccc(C(F)(F)F)c1', 'NCc1cccc(C(F)(F)F)c1']; [1.0, 0.9999995231628418, 0.9999919533729553, 0.9999902844429016, 0.9999873042106628, 0.9999621510505676, 0.9999422430992126, 0.9998956918716431, 0.9998875260353088, 0.9998296499252319, 0.9995594024658203, 0.999557614326477, 0.993269681930542, 0.9848607778549194, 0.9681671261787415, 0.9260902404785156, 0.9031400084495544, 0.7546380162239075]
+COc1ccc2sc(-c3cnn(Cc4ccccc4)c3)nc2c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'Brc1cnn(Cc2ccccc2)c1']; ['COc1ccc2sc(Br)nc2c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Ic1cnn(Cc2ccccc2)c1', 'COc1ccc2scnc2c1']; [0.9999995827674866, 0.9999056458473206, 0.999851405620575, 0.9997700452804565, 0.9996896982192993]
+COc1ccc2sc(-c3ccccc3-c3nnc(C)[nH]3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccccc3C(N)=O)nc2c1; ['COc1ccc2sc(Br)nc2c1']; ['NC(=O)c1ccccc1B(O)O']; [0.9997690320014954]
+COc1ccc2sc(-c3ccccc3P(C)(C)=O)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccccc3OC(F)(F)F)nc2c1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc(I)c(N)c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1']; ['COc1ccc2sc(Br)nc2c1', 'O=Cc1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'O=Cc1ccccc1OC(F)(F)F', 'NCc1ccccc1OC(F)(F)F', 'NCc1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccccc1Br', 'O=C(O)Cc1ccccc1OC(F)(F)F', 'NCc1ccccc1OC(F)(F)F']; [0.9999991655349731, 0.9999983310699463, 0.9999898076057434, 0.9999672174453735, 0.9999446272850037, 0.99894118309021, 0.9984017610549927, 0.9983533620834351, 0.9947344064712524, 0.9901432394981384, 0.8715583086013794]
+COc1ccc2sc(-c3cccc(NC(=O)c4ccccc4)c3)nc2c1; ['COc1ccc2sc(Br)nc2c1']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999681711196899]
+COc1ccc2sc(-c3csc(C(C)(C)C)n3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccc4ncn(C)c(=O)c4c3)nc2c1; ['COc1ccc2scnc2c1', 'COc1ccc2sc(Br)nc2c1']; ['Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9996564388275146, 0.998329222202301]
+COc1ccc2sc(-c3cnn(CCO)c3)nc2c1; ['COc1ccc2sc(Br)nc2c1']; ['OCCn1cc(B(O)O)cn1']; [0.9997224807739258]
+COc1ccc2sc(-c3cnc(-c4ccccc4)[nH]3)nc2c1; ['COc1ccc2sc(Br)nc2c1']; ['c1ccc(-c2ncc[nH]2)cc1']; [0.9865086674690247]
+COc1ccc2sc(-c3cc(Cl)ccc3Cl)nc2c1; ['COc1ccc(I)c(N)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; ['O=Cc1cc(Cl)ccc1Cl', 'COc1ccc2sc(Br)nc2c1', 'OB(O)c1cc(Cl)ccc1Cl', 'NCc1cc(Cl)ccc1Cl', 'O=C(O)Cc1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1']; [0.9999973773956299, 0.9999951124191284, 0.9999337792396545, 0.9999096393585205, 0.9994962215423584, 0.9985019564628601, 0.9979093074798584]
+COc1ccc2sc(-c3ccc(C)cc3Br)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; ['Cc1ccc(C=O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(C=O)c(Br)c1', 'Cc1ccc(CC(=O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(I)c(Br)c1']; [0.9999717473983765, 0.9999381899833679, 0.9996968507766724, 0.9992344975471497, 0.9989186525344849, 0.988322377204895]
+COc1ccc2sc(OCC(=O)C(C)C)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3c(C)nc4ccccn34)nc2c1; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(N)nc2c1']; ['Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1']; [0.9995646476745605, 0.9968463778495789]
+CNc1nc(C)c(-c2nc3cc(OC)ccc3s2)s1; [None]; [None]; [0]
+COc1ccc2sc(-c3cnc4ccccn34)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cccc(Cn4cncn4)c3)nc2c1; ['COc1ccc2scnc2c1']; ['O=Cc1cccc(Cn2cncn2)c1']; [0.9723920822143555]
+COc1ccc2sc(-c3sc(N)nc3C)nc2c1; [None]; [None]; [0]
+COc1cnc(-c2nc3cc(OC)ccc3s2)nc1; [None]; [None]; [0]
+COc1ccc2sc(-c3cccc(Br)c3)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc(I)c(N)c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'Brc1cccc(I)c1', 'COc1ccc2scnc2c1', 'C=Cc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'COc1ccc2scnc2c1']; ['O=Cc1cccc(Br)c1', 'O=Cc1cccc(Br)c1', 'NCc1cccc(Br)c1', 'O=C(O)Cc1cccc(Br)c1', 'COc1ccc2sc(Br)nc2c1', 'OB(O)c1cccc(Br)c1', 'NCc1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'COc1ccc2scnc2c1', 'O=Cc1cccc(Br)c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'O=C(O)Cc1cccc(Br)c1']; [0.9999991655349731, 0.9999955892562866, 0.9999697208404541, 0.9999579191207886, 0.9999440908432007, 0.9998465776443481, 0.9998086094856262, 0.9988580942153931, 0.9974040985107422, 0.995269775390625, 0.9546355605125427, 0.9347906112670898, 0.9034967422485352, 0.8236021399497986]
 COc1ccc2sc(-n3ncc4cccc(F)c4c3=O)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3c(Cl)cccc3Cl)nc2c1; ['COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc(I)c(N)c1', 'COc1ccc(I)c(N)c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'C=Cc1c(Cl)cccc1Cl', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; ['O=Cc1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl', 'NCc1c(Cl)cccc1Cl', 'O=C(O)Cc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'OB(O)c1c(Cl)cccc1Cl', 'NCc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'COc1ccc2scnc2c1', 'Clc1cccc(Cl)c1', 'OCc1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1', 'O=C(O)Cc1c(Cl)cccc1Cl', 'NCc1c(Cl)cccc1Cl']; [0.9999997615814209, 0.9999992847442627, 0.9999862909317017, 0.9999545812606812, 0.9998800754547119, 0.9997972249984741, 0.9997948408126831, 0.9979712963104248, 0.9976843595504761, 0.9931155443191528, 0.9898196458816528, 0.9797545671463013, 0.9770434498786926, 0.9296778440475464, 0.9233894348144531, 0.7882716655731201, 0.7707093954086304]
+COc1ccc2sc(NCc3cccnc3)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(N)nc2c1', 'BrCc1cccnc1', 'COc1ccc2sc(N)nc2c1']; ['NCc1cccnc1', 'S=C=NCc1cccnc1', 'NCc1cccnc1', 'OCc1cccnc1', 'COc1ccc2sc(N)nc2c1', 'O=Cc1cccnc1']; [0.9999887347221375, 0.999947190284729, 0.9999433159828186, 0.999465823173523, 0.995335578918457, 0.9945143461227417]
+COc1ccc2sc(-c3sc(C)nc3C)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(Nc3cccnc3)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(N)nc2c1', 'COc1ccc(O)c(N)c1', 'Brc1cccnc1']; ['S=C=Nc1cccnc1', 'Nc1cccnc1', 'Nc1cccnc1', 'Clc1cccnc1', 'S=C=Nc1cccnc1', 'COc1ccc2sc(N)nc2c1']; [0.9999805688858032, 0.9999245405197144, 0.9995983242988586, 0.9975814819335938, 0.9963977336883545, 0.9933589696884155]
+COc1ccc2sc(-c3cnn4ncccc34)nc2c1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; [0.9999972581863403, 0.9938995838165283]
+COc1ccc2sc(-c3cc(C)ccc3Cl)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(I)c(N)c1', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; ['Cc1ccc(Cl)c(CN)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(C=O)c1', 'Cc1ccc(Cl)c(C=O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(CN)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1']; [0.9999971389770508, 0.9999881982803345, 0.9999876618385315, 0.9998475313186646, 0.999807596206665, 0.9990102052688599, 0.9969070553779602, 0.9950400590896606]
+COc1ccc2sc(NC(=O)c3cccs3)nc2c1; ['COc1ccc2sc(N)nc2c1', 'COc1ccc2sc(N)nc2c1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9999840259552002, 0.9999819993972778]
+COc1ccc2sc(NCCc3c[nH]cn3)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(N)nc2c1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'OCCc1c[nH]cn1']; [0.9999798536300659, 0.999924898147583, 0.9955699443817139]
+COc1ccc2sc(-c3ccc4ccccc4c3)nc2c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(I)c(N)c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc(I)c(N)c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'Brc1ccc2ccccc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'C=Cc1ccc2ccccc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; ['COc1ccc2sc(Br)nc2c1', 'OB(O)c1ccc2ccccc2c1', 'O=Cc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'O=Cc1ccc2ccccc2c1', 'NCc1ccc2ccccc2c1', 'NCc1ccc2ccccc2c1', 'O=C(O)Cc1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'COc1ccc2scnc2c1', 'c1ccc2ccccc2c1', 'NCc1ccc2ccccc2c1', 'OCc1ccc2ccccc2c1', 'COc1ccc2scnc2c1', 'O=C(O)Cc1ccc2ccccc2c1', 'O=Cc1ccc2ccccc2c1', 'O=C(O)c1ccc2ccccc2c1', 'NNS(=O)(=O)c1ccc2ccccc2c1']; [0.9999993443489075, 0.9999979138374329, 0.9999974370002747, 0.9999966621398926, 0.999989926815033, 0.9999862909317017, 0.999985933303833, 0.9999836683273315, 0.9999183416366577, 0.9999173879623413, 0.9988112449645996, 0.9967573881149292, 0.9949053525924683, 0.9679835438728333, 0.9616416096687317, 0.9324774742126465, 0.9320617914199829, 0.8583041429519653, 0.8546618223190308, 0.7796953916549683]
+COc1ccc2sc(-c3c[nH]nc3C(F)(F)F)nc2c1; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'COc1ccc2scnc2c1']; ['COc1ccc2sc(Br)nc2c1', 'FC(F)(F)c1n[nH]cc1Br']; [0.9999986886978149, 0.9994832277297974]
+COc1ccc2sc(-c3cccc(F)c3C(N)=O)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccnc(N)n3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(NCCc3ccccc3)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(N)nc2c1', 'COc1ccc2sc(N)nc2c1']; ['S=C=NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'ClCCc1ccccc1', 'OCCc1ccccc1']; [0.999911904335022, 0.9997173547744751, 0.9987128376960754, 0.9516823291778564, 0.9201819896697998]
+COc1ccc2sc(-c3ccc4c(N)[nH]nc4c3)nc2c1; ['COc1ccc2scnc2c1']; ['Nc1[nH]nc2cc(Br)ccc12']; [0.9993312358856201]
 COc1ccc2sc(-c3sc(=O)n(C)c3C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3cnn4ncccc34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Cc3ncc(C(C)(C)C)o3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-n3cnc4ccccc43)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cncc4ccccc34)nc2c1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'COc1ccc(I)c(N)c1', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'Brc1cncc2ccccc12', 'Brc1cncc2ccccc12']; ['COc1ccc2sc(Cl)nc2c1', 'O=Cc1cncc2ccccc12', 'COc1ccc2sc(Br)nc2c1', 'Ic1cncc2ccccc12', 'NCc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'NCc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Ic1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; [0.9999986290931702, 0.9999972581863403, 0.9999958276748657, 0.9999836087226868, 0.9999786019325256, 0.9996341466903687, 0.9994715452194214, 0.9994368553161621, 0.9990826845169067, 0.9838675260543823, 0.9808881282806396, 0.9797227382659912]
+COc1ccc2sc(NCc3ccc(Cl)cc3)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(N)nc2c1', 'COc1ccc2sc(N)nc2c1']; ['S=C=NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1']; [0.9999489784240723, 0.9995768070220947, 0.9991710186004639, 0.9972935914993286, 0.9545508623123169]
+COc1ccc2sc(-c3cccc(CC(=O)[O-])c3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccc(-c4cnn(C)c4)cc3)nc2c1; [None]; [None]; [0]
 COc1ccc2sc(-c3ccc4c(c3)CS(=O)(=O)N4C)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc(C(=O)[O-])c(OC)c3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cccc(CO)c3)nc2c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; ['COc1ccc2sc(Br)nc2c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(I)c1']; [0.9999964833259583, 0.9987645149230957, 0.9872719645500183, 0.986884355545044]
+COc1ccc2sc(-c3ccc4c(cnn4C)c3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccc(-c4cn[nH]c4)cc3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(Nc3ccncc3)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc(I)c(N)c1', 'COc1ccc(Br)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'Brc1ccncc1', 'COc1ccc2sc(N)nc2c1', 'COc1ccc(O)c(N)c1']; ['Nc1ccncc1', 'S=C=Nc1ccncc1', 'S=C=Nc1ccncc1', 'Nc1ccncc1', 'COc1ccc2sc(N)nc2c1', 'Clc1ccncc1', 'S=C=Nc1ccncc1']; [0.9999819397926331, 0.9999775290489197, 0.999971866607666, 0.9999696016311646, 0.9995672702789307, 0.9994350671768188, 0.8784551620483398]
+COc1ccc2sc(NCc3ccccc3F)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(N)nc2c1', 'COc1ccc2sc(N)nc2c1', 'COc1ccc2sc(N)nc2c1', 'COc1ccc2sc(N)nc2c1']; ['NCc1ccccc1F', 'NCc1ccccc1F', 'Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'OCc1ccccc1F', 'O=Cc1ccccc1F']; [0.9999983310699463, 0.999992847442627, 0.9999501705169678, 0.9998177289962769, 0.9997633695602417, 0.9956527948379517]
+COc1ccc2sc(-c3cccc(O)c3)nc2c1; ['COc1ccc(I)c(N)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'C=Cc1cccc(O)c1']; ['O=Cc1cccc(O)c1', 'COc1ccc2sc(Br)nc2c1', 'O=C(O)Cc1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'COc1ccc2scnc2c1']; [0.9999997615814209, 0.9999921321868896, 0.9999520778656006, 0.9987084865570068, 0.996970534324646, 0.9757375121116638, 0.8591347932815552]
+COc1ccc2sc(-c3c[nH]c(SC)n3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cc4ccccc4[nH]3)nc2c1; ['COc1ccc2sc(Br)nc2c1']; ['c1ccc2[nH]ccc2c1']; [0.9997938871383667]
+CCCn1cnc(-c2nc3cc(OC)ccc3s2)n1; [None]; [None]; [0]
+COc1ccc2sc(-c3csc4ncncc34)nc2c1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; [0.9993748068809509, 0.9882768392562866]
+COc1ccc2sc(-c3cncnc3N)nc2c1; [None]; [None]; [0]
 COc1ccc2sc(-c3cn(C(C)C)nn3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccc(C(=O)[O-])c(OC)c3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cccc(CCC#N)c3)nc2c1; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; [0.9999150037765503, 0.9925423860549927]
+COc1ccc2sc(-c3csc(N)n3)nc2c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2nc3cc(OC)ccc3s2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Cl', 'CCC(=O)O', 'CCC(=O)Br', None, 'CCC(=O)OC(=O)CC', 'CCC(=O)N1CCSC1=S', 'CCOC(=O)CC', 'CCC(N)=O', 'CCC(=O)OC']; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(-c3ccc(N)cc3)nc2c1', 'COc1ccc2sc(-c3ccc(N)cc3)nc2c1', 'COc1ccc2sc(-c3ccc(N)cc3)nc2c1', None, 'COc1ccc2sc(-c3ccc(N)cc3)nc2c1', 'COc1ccc2sc(-c3ccc(N)cc3)nc2c1', 'COc1ccc2sc(-c3ccc(N)cc3)nc2c1', 'COc1ccc2sc(-c3ccc(N)cc3)nc2c1', 'COc1ccc2sc(-c3ccc(N)cc3)nc2c1']; [0.9999988079071045, 0.9999850392341614, 0.9999352693557739, 0.9999349117279053, 0, 0.999642550945282, 0.9994152784347534, 0.9990958571434021, 0.9980615377426147, 0.9975564479827881]
 COc1ccc2sc(CCc3c[nH]nn3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(CCNC(=O)CC(C)(C)O)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(NC(=O)c3c(Cl)cccc3Cl)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(Oc3ccccn3)nc2c1; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Cl)nc2c1']; ['Oc1ccccn1', 'Oc1ccccn1']; [0.9996261596679688, 0.9994848966598511]
+COc1ccc2sc(-c3cnoc3C(C)C)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(NC(=O)c3c(Cl)cccc3Cl)nc2c1; ['COc1ccc2sc(N)nc2c1', 'COc1ccc2sc(N)nc2c1']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.9999719858169556, 0.9998862743377686]
+COc1ccc2sc(-c3ccc(F)cc3C(F)(F)F)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; ['O=Cc1ccc(F)cc1C(F)(F)F', 'NCc1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'NCc1ccc(F)cc1C(F)(F)F', 'O=C(O)Cc1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'O=Cc1ccc(F)cc1C(F)(F)F']; [0.9999986886978149, 0.9999861717224121, 0.9999810457229614, 0.999944806098938, 0.9996808767318726, 0.9978682994842529, 0.9976145029067993, 0.8112117648124695]
+COc1ccc2sc(-c3cccc(NC(C)=O)c3)nc2c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(CN)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; [0.9999990463256836, 0.9999969005584717, 0.9999131560325623, 0.9952361583709717]
+COc1ccc2sc(CCCC(N)=O)nc2c1; [None]; [None]; [0]
 COc1ccc2sc(OCC(C)(C)S(C)(=O)=O)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(N3CCC(S(C)(=O)=O)CC3)nc2c1; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2scnc2c1']; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; [0.9999184608459473, 0.9998518228530884, 0.9974690675735474]
+CCNc1nc2ccc(-c3nc4cc(OC)ccc4s3)cc2s1; [None]; [None]; [0]
+COc1ccc2sc(-c3cn(C)c4ccccc34)nc2c1; ['COc1ccc2sc(Br)nc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999974966049194]
+COc1ccc2sc(-c3cnn4ccccc34)nc2c1; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'Brc1cnn2ccccc12', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; ['COc1ccc2sc(Br)nc2c1', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'c1ccn2nccc2c1', 'Ic1cnn2ccccc12', 'COc1ccc2scnc2c1', 'O=C(O)c1cnn2ccccc12', 'O=Cc1cnn2ccccc12']; [0.9999980926513672, 0.9999869465827942, 0.9999618530273438, 0.9999327659606934, 0.9979032874107361, 0.9887014627456665, 0.9765287637710571, 0.9021974205970764]
+COc1ccc2sc(CCNC(=O)CC(C)(C)O)nc2c1; [None]; [None]; [0]
+CCCn1cc(-c2nc3cc(OC)ccc3s2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(I)cn1']; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; [0.9999994039535522, 0.9999415874481201, 0.9999231100082397, 0.9997733235359192, 0.9994462132453918]
+COc1ccc2sc(-c3cc[nH]c(=O)c3)nc2c1; ['COc1ccc2scnc2c1']; ['O=c1cc(Br)cc[nH]1']; [0.9803537130355835]
+COc1ccc2sc(O[C@H](C)c3c(Cl)cncc3Cl)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1']; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; [0.9974055290222168, 0.9962784051895142]
+COc1ccc2sc(-c3ccc(OC)c(Cl)c3)nc2c1; ['COc1ccc(C=O)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(C=O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(CN)cc1Cl', 'COc1ccc(CC(=O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(C(=O)O)cc1Cl', 'COc1ccc(C=O)cc1Cl', 'COc1ccc(CN)cc1Cl', 'COc1ccc2scnc2c1', 'COc1ccc(CC(=O)O)cc1Cl']; ['COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccccc1Cl', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccccc1Cl', 'COc1ccc2scnc2c1']; [1.0, 0.9999996423721313, 0.9999995827674866, 0.9999879002571106, 0.9999780654907227, 0.9999701976776123, 0.9999406337738037, 0.999799370765686, 0.9996111392974854, 0.9963003396987915, 0.9955943822860718, 0.9720840454101562, 0.9489743709564209, 0.9336754083633423, 0.9319157600402832]
+COc1cc(CCc2nc3cc(OC)ccc3s2)cc(OC)c1; ['COc1cc(CBr)cc(OC)c1', 'COc1cc(CCl)cc(OC)c1']; ['COc1ccc2sc(C)nc2c1', 'COc1ccc2sc(C)nc2c1']; [0.9975098967552185, 0.9929365515708923]
+CCN(CC)c1nc2cc(OC)ccc2s1; [None, 'CCNCC', 'CCNCC']; [None, 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Cl)nc2c1']; [0, 0.9996035695075989, 0.9992883205413818]
+CCNS(=O)(=O)c1ccccc1-c1nc2cc(OC)ccc2s1; [None]; [None]; [0]
+COc1ccc2sc(-c3cccc4c3C(=O)CC4)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(Nc3cnccc3OC)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(N)nc2c1', 'COc1ccc2sc(N)nc2c1', 'COc1ccc2sc(N)nc2c1']; ['COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1Cl', 'COc1ccncc1Br', 'COc1ccncc1I']; [0.9999946355819702, 0.9999885559082031, 0.9999865293502808, 0.9999836683273315, 0.9999582767486572]
+COc1ccc2sc(-c3cc4c(=O)[nH]ccc4o3)nc2c1; [None]; [None]; [0]
 COc1ccc2sc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(O[C@H](C)c3c(Cl)cncc3Cl)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccc(C(C)(C)N)cc3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(Nc3cnccc3-c3ccccc3)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'Brc1cnccc1-c1ccccc1']; ['Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'COc1ccc2sc(N)nc2c1']; [0.9999994039535522, 0.9999920129776001, 0.9998334050178528]
+COc1ccc2sc(-c3c[nH]c4cnccc34)nc2c1; ['COc1ccc2sc(Br)nc2c1', 'Brc1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12', 'COc1ccc2scnc2c1']; ['OB(O)c1c[nH]c2cnccc12', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'Ic1c[nH]c2cnccc12']; [0.9999116063117981, 0.9998315572738647, 0.9982393383979797, 0.9955765008926392]
+COc1ccc2sc(-c3cncc(OC(C)C)c3)nc2c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(Br)c1']; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; [1.0, 0.9999998807907104, 0.9999947547912598, 0.9999778270721436, 0.9999361038208008]
+COc1ccc2sc(-c3cnc4[nH]ccc4c3)nc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1ccc2sc(Br)nc2c1', 'Brc1cnc2[nH]ccc2c1']; ['COc1ccc2sc(Br)nc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'COc1ccc2scnc2c1']; [1.0, 0.999980628490448, 0.9940320253372192]
+COc1ccc2sc(Nc3cnc4ccccc4c3)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'COc1ccc2sc(N)nc2c1']; [0.9999933242797852, 0.9999598264694214, 0.9967103004455566]
+COc1ccc2sc(-c3ccc([S@](C)=O)cc3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccc(C(C)(C)C)cc3)nc2c1; ['CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(CN)cc1', 'CC(C)(C)c1ccc(CC(=O)O)cc1', 'CC(C)(C)c1ccc(CN)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(CN)cc1', 'C=Cc1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; [0.9999994039535522, 0.9999989867210388, 0.9999986886978149, 0.9999924302101135, 0.9999860525131226, 0.9999775886535645, 0.9999544620513916, 0.9995776414871216, 0.9983530640602112, 0.9966897964477539, 0.8821908831596375, 0.8540678024291992, 0.7723713517189026]
+CNC(=O)c1c(F)cccc1-c1nc2cc(OC)ccc2s1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)nc2c1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Br)nc2c1']; [0.999997615814209, 0.9999754428863525]
+CNS(=O)(=O)c1ccc(-c2nc3cc(OC)ccc3s2)cc1; ['CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1ccc2sc(Br)nc2c1']; [0.999800443649292]
+COc1ccc2sc(-c3c(F)cccc3OC)nc2c1; [None]; [None]; [0]
 COc1ccc2sc(-c3cc4c(=O)[nH]cc(Br)c4s3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Nc3cnccc3-c3ccccc3)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccc(N4CCOCC4)cc3)nc2c1; ['COc1ccc2sc(Br)nc2c1', 'Brc1ccc(N2CCOCC2)cc1', 'COc1ccc2sc(-c3ccc(N)cc3)nc2c1', 'BrCCOCCBr', 'COc1ccc2sc(Br)nc2c1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'COc1ccc2scnc2c1', 'ClCCOCCCl', 'COc1ccc2sc(-c3ccc(N)cc3)nc2c1', 'c1ccc(N2CCOCC2)cc1']; [0.999998927116394, 0.9998761415481567, 0.9997802376747131, 0.999713659286499, 0.988886833190918]
 COc1ccc2sc(N[C@@H](C)C(=O)NCC(F)(F)F)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccn(CC[NH3+])n3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-n3ccc(CO)n3)nc2c1; ['COc1ccc2sc(Br)nc2c1']; ['OCc1cc[nH]n1']; [0.9993168115615845]
+COc1ccc2sc(C3(C)CCN(S(C)(=O)=O)CC3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-n3ncc4ccccc43)nc2c1; ['COc1ccc2sc(Cl)nc2c1']; ['c1ccc2[nH]ncc2c1']; [0.9999091625213623]
+COc1ccc2sc(-c3ccc(S(C)(=O)=O)cc3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(N[C@H](C)C(C)(C)O)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1']; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; [0.9996521472930908, 0.9977678656578064]
+COc1ccc2sc(-c3c(F)cccc3Cl)nc2c1; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1']; ['OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Br', 'O=C(O)c1c(F)cccc1Cl']; [0.9999961853027344, 0.9999960064888, 0.9999862909317017, 0.9999474287033081]
+COc1ccc2sc(N[C@@H](C)C(C)(C)O)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1']; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; [0.9996521472930908, 0.9977678656578064]
+COc1ccc2sc(-c3cc(C)nn3-c3cccc(Cl)c3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-n3cnc(CCO)c3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-n3ncc4c(O)cccc43)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccc(-n4cncn4)cc3)nc2c1; ['COc1ccc(I)c(N)c1', 'COc1ccc2scnc2c1']; ['O=Cc1ccc(-n2cncn2)cc1', 'O=Cc1ccc(-n2cncn2)cc1']; [0.9999986886978149, 0.9936659336090088]
+COc1ccc2sc(-c3nc4ccc(O)cc4[nH]3)nc2c1; [None]; [None]; [0]
+COc1ccc(-c2nc3cc(OC)ccc3s2)c(OC)c1; [None]; [None]; [0]
+COc1ccc2sc(-c3[nH]c(SC)nc3C)nc2c1; [None]; [None]; [0]
+COc1ccc2sc([C@@H]3CC[C@@H](NC(C)=O)CC3)nc2c1; [None]; [None]; [0]
 COc1ccc2sc(Cc3nnc4ccc(-c5ccccc5)nn34)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccc(C(=O)c4ccccc4)cc3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3nncn3C(C)C)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3nncn3C3CC3)nc2c1; [None]; [None]; [0]
 COc1ccc2sc(CS(=O)(=O)NCc3ccccn3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(CCC(=O)NCc3ccccn3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ccn(CC[NH3+])n3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cn(Cc4ccccc4)nn3)nc2c1; [None]; [None]; [0]
+CCc1cc(-c2nc3cc(OC)ccc3s2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2nc3cc(OC)ccc3s2)nc(N)n1; [None]; [None]; [0]
+COc1ccc2sc(-c3nnc(N)s3)nc2c1; [None]; [None]; [0]
 COc1ccc2sc(-c3cc(C(N)=O)cn3C)nc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3cc(OC)ccc3s2)s1; [None]; [None]; [0]
 COc1ccc2sc(Oc3ccc(C[NH3+])cc3F)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3nc4ccccc4s3)nc2c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2nc3cc(OC)ccc3s2)CC1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3nc4cc(OC)ccc4s3)c2)cc1; [None]; [None]; [0]
-COc1ccc2sc(-c3cccc4nnsc34)nc2c1; [None]; [None]; [0]
-COc1ccc2sc(Oc3ccc(OC)c(F)c3F)nc2c1; [None]; [None]; [0]
 COc1ccc2sc(-c3cccc(C(C)(C)O)n3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cccc4nnsc34)nc2c1; ['Brc1cccc2nnsc12']; ['COc1ccc2scnc2c1']; [0.9982394576072693]
+COc1ccc2sc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cccc4ccsc34)nc2c1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'COc1ccc(I)c(N)c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc(I)c(N)c1', 'COc1ccc(I)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1', 'Brc1cccc2ccsc12', 'COc1ccc(Cl)c([N+](=O)[O-])c1', 'COc1ccc2scnc2c1']; ['COc1ccc2sc(Br)nc2c1', 'O=Cc1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'NCc1cccc2ccsc12', 'O=Cc1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'COc1ccc2scnc2c1', 'NCc1cccc2ccsc12', 'O=Cc1cccc2ccsc12']; [0.9999991655349731, 0.9999351501464844, 0.9998775124549866, 0.9997394680976868, 0.9996225237846375, 0.9992904663085938, 0.995163083076477, 0.9737625122070312, 0.8987070918083191]
+COc1ccc2sc(-c3c[nH]c4cccnc34)nc2c1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Brc1c[nH]c2cccnc12', 'Brc1c[nH]c2cccnc12']; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; [0.9999994039535522, 0.9994851350784302, 0.9894851446151733]
+COc1ccc2sc(-c3cn(CCO)cn3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cncc(N)n3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3nc(N)c4ccccc4n3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cnc(NC(C)=O)[nH]3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ncc4ccccc4n3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3ncc4cc[nH]c4n3)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(-c3cc(C#N)ccc3OC)nc2c1; [None]; [None]; [0]
+COc1ccc2sc(Oc3ccc(OC)c(F)c3F)nc2c1; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1']; [0.9999369382858276, 0.999634861946106]
+COc1ccc2sc(N3CCC(c4nc5ccccc5[nH]4)CC3)nc2c1; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.999993622303009, 0.999975323677063]
+COc1ccc2sc(-c3cccnc3OC)nc2c1; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2scnc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'COc1ncccc1Br', 'COc1ccccn1', 'COc1ncccc1C=O']; [0.9999988079071045, 0.9999769926071167, 0.9962959289550781, 0.9922066330909729, 0.9667832851409912, 0.9241282939910889]
+COc1ccc2sc(-c3cccc(S(=O)(=O)N(C)C)c3)nc2c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['COc1ccc2sc(Br)nc2c1', 'COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1']; [0.9999991655349731, 0.9999963045120239, 0.9999237656593323]
+COc1ccc2sc([C@H]3CC[C@@](C)(O)CC3)nc2c1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2nc3cc(OC)ccc3s2)c1; [None]; [None]; [0]
+CCOc1ccccc1Nc1nc2cc(F)ccc2s1; ['CCOc1ccccc1N=C=S', 'CCOc1ccccc1N=C=S', 'CCOc1ccccc1N', 'CCOc1ccccc1N', 'CCOc1ccccc1Br', 'CCOc1ccccc1N=C=S', 'CCOc1ccccc1N=C=S']; ['Nc1cc(F)ccc1Br', 'Nc1cc(F)ccc1I', 'Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1cc(F)ccc1S', 'Nc1cc(F)ccc1O']; [0.9999988675117493, 0.9999957084655762, 0.999970018863678, 0.9999572038650513, 0.9999464154243469, 0.9997973442077637, 0.9996414184570312]
+CNC(=O)c1ccccc1Nc1nc2cc(F)ccc2s1; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1N', 'CNC(=O)c1ccccc1N']; ['Nc1nc2cc(F)ccc2s1', 'Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; [0.9999139308929443, 0.9997836947441101, 0.9997106790542603]
+COc1ccc2sc(-c3cnnc(N(C)C)c3)nc2c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1Nc1nc2cc(F)ccc2s1; ['CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1N', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1']; [0.9998524188995361, 0.9998147487640381, 0.9997323751449585]
+CP(C)(=O)c1ccccc1Nc1nc2cc(F)ccc2s1; ['CP(C)(=O)c1ccccc1N']; ['Fc1ccc2sc(Cl)nc2c1']; [0.9999740123748779]
+COc1ccc2sc(N3CC=C(c4c[nH]c5ccccc45)CC3)nc2c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['COc1ccc2sc(Cl)nc2c1', 'COc1ccc2sc(Br)nc2c1', 'COc1ccc2scnc2c1']; [0.9999775290489197, 0.9999337196350098, 0.9977657794952393]
+Fc1ccc2sc(Nc3ccnc4ccccc34)nc2c1; ['Fc1ccc2sc(Br)nc2c1', 'Brc1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Fc1ccc2sc(Cl)nc2c1', 'Ic1ccnc2ccccc12']; ['Nc1ccnc2ccccc12', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1ccnc2ccccc12', 'Nc1nc2cc(F)ccc2s1']; [0.9999995231628418, 0.9999977350234985, 0.9999974966049194, 0.9999914169311523, 0.9999846816062927]
+Fc1ccc2sc(Nc3cccc(C(F)(F)F)c3)nc2c1; ['FC(F)(F)c1cccc(N=C=S)c1', 'FC(F)(F)c1cccc(N=C=S)c1', 'Fc1ccc2sc(Cl)nc2c1', 'FC(F)(F)c1cccc(I)c1', 'Fc1ccc2sc(Br)nc2c1', 'FC(F)(F)c1cccc(Br)c1']; ['Nc1cc(F)ccc1I', 'Nc1cc(F)ccc1S', 'Nc1cccc(C(F)(F)F)c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1cccc(C(F)(F)F)c1', 'Nc1nc2cc(F)ccc2s1']; [0.9999991655349731, 0.9999989867210388, 0.9999502897262573, 0.9999284744262695, 0.9999023079872131, 0.998559296131134]
 COc1ccc2sc(-c3cccc(NC(=O)C4CCNCC4)c3)nc2c1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cnn4ncccc34)nc2c1; [None]; [None]; [0]
+CCn1cc(Nc2nc3cc(F)ccc3s2)cn1; ['CCn1cc(N)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(N)cn1']; ['Fc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Fc1ccc2sc(Br)nc2c1']; [0.9999879598617554, 0.999703049659729, 0.9996638298034668]
+Fc1ccc2sc(Nc3ccccc3OC(F)(F)F)nc2c1; ['FC(F)(F)Oc1ccccc1N=C=S', 'FC(F)(F)Oc1ccccc1N=C=S', 'Fc1ccc2sc(Br)nc2c1', 'FC(F)(F)Oc1ccccc1N=C=S', 'FC(F)(F)Oc1ccccc1N=C=S', 'Fc1ccc2sc(Cl)nc2c1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Cl']; ['Nc1cc(F)ccc1I', 'Nc1cc(F)ccc1Br', 'Nc1ccccc1OC(F)(F)F', 'Nc1cc(F)ccc1S', 'Nc1cc(F)ccc1O', 'Nc1ccccc1OC(F)(F)F', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [1.0, 1.0, 0.9999985694885254, 0.999997615814209, 0.9999974370002747, 0.9999969005584717, 0.9999933242797852, 0.9999648332595825, 0.9999624490737915]
+COc1ccc(F)cc1[C@@H](C)Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
+NC(=O)c1ccccc1Nc1nc2cc(F)ccc2s1; ['Fc1ccc2sc(Cl)nc2c1', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1F']; ['NC(=O)c1ccccc1N', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999405145645142, 0.9998487830162048, 0.9997409582138062, 0.9881652593612671]
+Fc1ccc2sc(Nc3cnn(Cc4ccccc4)c3)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Brc1cnn(Cc2ccccc2)c1']; ['Nc1cnn(Cc2ccccc2)c1', 'Nc1cnn(Cc2ccccc2)c1', 'Nc1nc2cc(F)ccc2s1']; [0.9999953508377075, 0.9999759793281555, 0.9999690055847168]
+Fc1ccc2sc(Nc3cnc(-c4ccccc4)[nH]3)nc2c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2Nc2nc3cc(F)ccc3s2)[nH]1; [None]; [None]; [0]
+Cn1cnc2ccc(Nc3nc4cc(F)ccc4s3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1nc2cc(F)ccc2s1']; [0.9999963045120239]
+OCCn1cc(Nc2nc3cc(F)ccc3s2)cn1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; ['Nc1cnn(CCO)c1', 'Nc1cnn(CCO)c1']; [0.9999998807907104, 0.9999900460243225]
+COc1cnc(Nc2nc3cc(F)ccc3s2)nc1; ['COc1cnc(N)nc1', 'COc1cnc(N)nc1', 'COc1cnc(Cl)nc1']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1']; [0.999998927116394, 0.9999797940254211, 0.9998964071273804]
+Cc1nc2ccccn2c1Nc1nc2cc(F)ccc2s1; ['Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1N']; ['Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; [0.9999994039535522, 0.9999985694885254]
+Fc1ccc2sc(Nc3cc(Cl)ccc3Cl)nc2c1; ['Nc1cc(F)ccc1Br', 'Nc1cc(F)ccc1I', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1S', 'Fc1ccc2sc(Br)nc2c1', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'Fc1ccc2sc(Cl)nc2c1']; ['S=C=Nc1cc(Cl)ccc1Cl', 'S=C=Nc1cc(Cl)ccc1Cl', 'S=C=Nc1cc(Cl)ccc1Cl', 'S=C=Nc1cc(Cl)ccc1Cl', 'Nc1cc(Cl)ccc1Cl', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1cc(Cl)ccc1Cl']; [1.0, 0.9999997019767761, 0.9999976754188538, 0.9999964237213135, 0.9999784827232361, 0.9999586343765259, 0.9999560117721558, 0.9998952150344849]
+CC(C)(C)c1nc(Nc2nc3cc(F)ccc3s2)cs1; [None]; [None]; [0]
+Fc1ccc2sc(Nc3cnc4ccccn34)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Clc1cnc2ccccn12']; ['Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1nc2cc(F)ccc2s1']; [0.9999990463256836, 0.9999983310699463, 0.9999863505363464]
+O=C(Nc1cccc(Nc2nc3cc(F)ccc3s2)c1)c1ccccc1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; ['Nc1cccc(NC(=O)c2ccccc2)c1', 'Nc1cccc(NC(=O)c2ccccc2)c1']; [0.9999918341636658, 0.9998667240142822]
+Cc1ccc(Nc2nc3cc(F)ccc3s2)c(Br)c1; ['Cc1ccc(N=C=S)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(N=C=S)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(N=C=S)c(Br)c1', 'Cc1ccc(N=C=S)c(Br)c1', 'Cc1ccc(N)c(Br)c1', 'Cc1ccc(Br)c(Br)c1']; ['Nc1cc(F)ccc1I', 'Fc1ccc2sc(Cl)nc2c1', 'Nc1cc(F)ccc1Br', 'Nc1nc2cc(F)ccc2s1', 'Nc1cc(F)ccc1S', 'Nc1cc(F)ccc1O', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1']; [0.9999986886978149, 0.999995231628418, 0.99998939037323, 0.9999173879623413, 0.9998964071273804, 0.9998659491539001, 0.9996998906135559, 0.9995702505111694]
+Cc1nc(C)c(Nc2nc3cc(F)ccc3s2)s1; [None]; [None]; [0]
+Fc1ccc2sc(Nc3cnc4cccnn34)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['Nc1cnc2cccnn12', 'Nc1cnc2cccnn12', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [1.0, 1.0, 1.0, 0.9999995827674866]
+Fc1ccc2sc(Nc3c(Cl)cccc3Cl)nc2c1; ['Nc1cc(F)ccc1Br', 'Nc1cc(F)ccc1I', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1S', 'Fc1ccc2sc(Cl)nc2c1', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Cl']; ['S=C=Nc1c(Cl)cccc1Cl', 'S=C=Nc1c(Cl)cccc1Cl', 'S=C=Nc1c(Cl)cccc1Cl', 'S=C=Nc1c(Cl)cccc1Cl', 'Nc1c(Cl)cccc1Cl', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999996423721313, 0.9999985098838806, 0.9999964237213135, 0.999988317489624, 0.9999856948852539, 0.9999845027923584, 0.9998502731323242, 0.9996683597564697]
+O=C([O-])c1ccccc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
+Fc1ccc2sc(Nc3cccc(Br)c3)nc2c1; ['Nc1cc(F)ccc1I', 'Nc1cc(F)ccc1Br', 'Nc1cc(F)ccc1S', 'Fc1ccc2sc(Cl)nc2c1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Fc1ccc2sc(Br)nc2c1']; ['S=C=Nc1cccc(Br)c1', 'S=C=Nc1cccc(Br)c1', 'S=C=Nc1cccc(Br)c1', 'Nc1cccc(Br)c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1cccc(Br)c1']; [0.9999992847442627, 0.9999966621398926, 0.9999903440475464, 0.99990314245224, 0.9997528791427612, 0.9895776510238647, 0.9879335165023804]
+Cc1ccc(Cl)c(Nc2nc3cc(F)ccc3s2)c1; ['Cc1ccc(Cl)c(N)c1']; ['Fc1ccc2sc(Cl)nc2c1']; [0.9979730844497681]
+N[C@H](Nc1nc2cc(F)ccc2s1)c1ccco1; [None]; [None]; [0]
+Nc1nccc(Nc2nc3cc(F)ccc3s2)n1; ['Fc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Fc1ccc2sc(Br)nc2c1']; ['Nc1ccnc(N)n1', 'Nc1nccc(Cl)n1', 'Nc1ccnc(N)n1']; [0.9999991655349731, 0.9999972581863403, 0.9999968409538269]
+Fc1ccc2sc(Nc3cnn4ncccc34)nc2c1; ['Brc1cnn2ncccc12']; ['Nc1nc2cc(F)ccc2s1']; [0.9999935626983643]
+Fc1ccc2sc(Nc3cccc(Cn4cncn4)c3)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; ['Nc1cccc(Cn2cncn2)c1', 'Nc1cccc(Cn2cncn2)c1']; [0.9999996423721313, 0.9999994039535522]
+Fc1ccc2sc(Nc3ccc4ccccc4c3)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1']; ['Nc1ccc2ccccc2c1', 'Nc1ccc2ccccc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9998992681503296, 0.9998091459274292, 0.9994021654129028, 0.9993832111358643, 0.9786638021469116]
+CC(C)(C)c1cnc(CNc2nc3cc(F)ccc3s2)o1; ['CC(C)(C)c1cnc(CBr)o1']; ['Nc1nc2cc(F)ccc2s1']; [0.9999101161956787]
+Fc1ccc2sc(Nc3c[nH]nc3C(F)(F)F)nc2c1; ['Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; ['Nc1c[nH]nc1C(F)(F)F', 'Nc1c[nH]nc1C(F)(F)F']; [0.9999957084655762, 0.9999957084655762]
+NC(=O)c1c(F)cccc1Nc1nc2cc(F)ccc2s1; ['NC(=O)c1c(F)cccc1F']; ['Nc1nc2cc(F)ccc2s1']; [0.998497724533081]
+Cc1nc(N)sc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
+Fc1ccc2sc(Nc3cncc4ccccc34)nc2c1; ['Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1', 'Brc1cncc2ccccc12', 'Clc1cncc2ccccc12', 'Fc1cncc2ccccc12']; ['Nc1cncc2ccccc12', 'Nc1cncc2ccccc12', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999935626983643, 0.9999932050704956, 0.9999886751174927, 0.9999439716339111, 0.9997081160545349]
+CNc1nc(C)c(Nc2nc3cc(F)ccc3s2)s1; [None]; [None]; [0]
+Cn1cc(-c2ccc(Nc3nc4cc(F)ccc4s3)cc2)cn1; ['Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1', 'Cn1cc(-c2ccc(N)cc2)cn1']; ['Nc1nc2cc(F)ccc2s1', 'Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; [1.0, 1.0, 0.9999997615814209]
 Cc1c(Nc2nc3cc(F)ccc3s2)sc(=O)n1C; [None]; [None]; [0]
-CN1c2ccc(Nc3nc4cc(F)ccc4s3)cc2CS1(=O)=O; [None]; [None]; [0]
+CCCn1cnc(Nc2nc3cc(F)ccc3s2)n1; ['CCCn1cnc(N)n1', 'CCCn1cnc(N)n1']; ['Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; [0.9999806880950928, 0.999441385269165]
+Fc1ccc2sc(Nc3ccc(-c4cn[nH]c4)cc3)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1nc2cc(F)ccc2s1']; [0.9999980926513672, 0.9999964237213135, 0.9999855160713196]
+Cn1ncc2cc(Nc3nc4cc(F)ccc4s3)ccc21; ['Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(N)ccc21']; ['Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999992251396179, 0.9999987483024597, 0.9999963045120239, 0.9999897480010986, 0.999910831451416]
+Oc1cccc(Nc2nc3cc(F)ccc3s2)c1; ['Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; ['Nc1cccc(O)c1', 'Nc1cccc(O)c1']; [0.9998975992202759, 0.9998576641082764]
+CC(C)n1cc(Nc2nc3cc(F)ccc3s2)nn1; ['CC(C)n1cc(N)nn1', 'CC(C)n1cc(N)nn1']; ['Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; [0.9999980926513672, 0.9999975562095642]
+OCc1cccc(Nc2nc3cc(F)ccc3s2)c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1']; ['Nc1cccc(CO)c1', 'Nc1cccc(CO)c1', 'OCc1cccc(Br)c1']; [0.9998867511749268, 0.9994268417358398, 0.995087742805481]
+Nc1[nH]nc2cc(Nc3nc4cc(F)ccc4s3)ccc12; ['Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Cl)ccc12']; ['Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9997634887695312, 0.9673467874526978]
+O=C([O-])Cc1cccc(Nc2nc3cc(F)ccc3s2)c1; [None]; [None]; [0]
 COc1cc(Nc2nc3cc(F)ccc3s2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(Nc2nc3cc(F)ccc3s2)nn1; [None]; [None]; [0]
+Fc1ccc2sc(Nc3csc4ncncc34)nc2c1; ['Brc1csc2ncncc12']; ['Nc1nc2cc(F)ccc2s1']; [1.0]
+Fc1ccc2sc(Nc3cc4ccccc4[nH]3)nc2c1; ['Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1', 'Clc1cc2ccccc2[nH]1']; ['Nc1cc2ccccc2[nH]1', 'Nc1cc2ccccc2[nH]1', 'Nc1nc2cc(F)ccc2s1']; [0.9997694492340088, 0.9986250400543213, 0.998548686504364]
+N#CCCc1cccc(Nc2nc3cc(F)ccc3s2)c1; ['N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(F)c1']; ['Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9995445013046265, 0.9786779880523682]
+CC[C@H](CO)Nc1nc2cc(F)ccc2s1; ['CC[C@@H](N)CO', 'CC[C@@H](N)CO']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; [0.9996415376663208, 0.9993704557418823]
+CSc1nc(Nc2nc3cc(F)ccc3s2)c[nH]1; [None]; [None]; [0]
+CN1c2ccc(Nc3nc4cc(F)ccc4s3)cc2CS1(=O)=O; [None]; [None]; [0]
+Fc1ccc(Nc2nc3cc(F)ccc3s2)c(C(F)(F)F)c1; ['Fc1ccc(N=C=S)c(C(F)(F)F)c1', 'Fc1ccc2sc(Br)nc2c1', 'Fc1ccc(N=C=S)c(C(F)(F)F)c1', 'Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(F)c(C(F)(F)F)c1', 'Nc1ccc(F)cc1C(F)(F)F']; ['Nc1cc(F)ccc1I', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1cc(F)ccc1O', 'Nc1ccc(F)cc1C(F)(F)F', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999938011169434, 0.9999828338623047, 0.9999401569366455, 0.9999014139175415, 0.9997037649154663, 0.9994298219680786, 0.9992474913597107, 0.9958440065383911, 0.9916126728057861]
+CCC(=O)Nc1ccc(Nc2nc3cc(F)ccc3s2)cc1; [None]; [None]; [0]
+Nc1ncncc1Nc1nc2cc(F)ccc2s1; ['Fc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(F)ccc2s1']; ['Nc1cncnc1N', 'Nc1ncncc1I']; [0.999984860420227, 0.9997829794883728]
+Fc1ccc2sc(NCc3c(F)cccc3F)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Fc1cccc(F)c1CBr', 'Fc1cccc(F)c1CCl', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; ['NCc1c(F)cccc1F', 'NCc1c(F)cccc1F', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'O=Cc1c(F)cccc1F', 'OCc1c(F)cccc1F']; [0.9999992251396179, 0.999998927116394, 0.9999831914901733, 0.9999754428863525, 0.9999659657478333, 0.9998860359191895]
+CC(=O)Nc1cccc(Nc2nc3cc(F)ccc3s2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1']; ['Nc1nc2cc(F)ccc2s1', 'Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; [0.9997960329055786, 0.9997895956039429, 0.9997636079788208]
+COc1ccc(Nc2nc3cc(F)ccc3s2)cc1Cl; ['COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999702572822571, 0.9999662041664124, 0.9997008442878723, 0.9996850490570068]
+Fc1ccc2sc(Nc3cnn4ccccc34)nc2c1; ['Brc1cnn2ccccc12', 'Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; ['Nc1nc2cc(F)ccc2s1', 'Nc1cnn2ccccc12', 'Nc1cnn2ccccc12']; [0.9999997615814209, 0.9999959468841553, 0.9999929666519165]
+Cn1cc(Nc2nc3cc(F)ccc3s2)c2ccccc21; [None]; [None]; [0]
+CC(C)c1oncc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
+CCCn1cc(Nc2nc3cc(F)ccc3s2)cn1; ['CCCn1cc(N)cn1', 'CCCn1cc(N)cn1', 'CCCn1cc(Br)cn1']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1']; [0.9999991655349731, 0.9999939799308777, 0.9999713897705078]
+CS(=O)(=O)c1cccc(CNc2nc3cc(F)ccc3s2)c1; ['CS(=O)(=O)c1cccc(CN)c1', 'CS(=O)(=O)c1cccc(CN)c1', 'CS(=O)(=O)c1cccc(CBr)c1', 'CS(=O)(=O)c1cccc(CO)c1', 'CS(=O)(=O)c1cccc(C=O)c1']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999987483024597, 0.9999969005584717, 0.9999911785125732, 0.9999881982803345, 0.9999538660049438]
+O=c1cc(Nc2nc3cc(F)ccc3s2)cc[nH]1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1']; ['Nc1cc[nH]c(=O)c1', 'Nc1cc[nH]c(=O)c1', 'O=c1cc(Cl)cc[nH]1']; [0.9999986886978149, 0.9999985098838806, 0.9992433786392212]
+O=C1CCc2cccc(Nc3nc4cc(F)ccc4s3)c21; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; ['Nc1cccc2c1C(=O)CC2', 'Nc1cccc2c1C(=O)CC2', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(F)c21']; [0.9999715685844421, 0.9999092817306519, 0.9997454881668091, 0.9994860887527466, 0.992385745048523]
+CN(c1ncccc1CNc1nc2cc(F)ccc2s1)S(C)(=O)=O; ['CN(c1ncccc1CN)S(C)(=O)=O', 'CN(c1ncccc1CN)S(C)(=O)=O']; ['Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; [0.9999997615814209, 0.9999996423721313]
+CCNS(=O)(=O)c1ccccc1Nc1nc2cc(F)ccc2s1; ['CCNS(=O)(=O)c1ccccc1N']; ['Fc1ccc2sc(Cl)nc2c1']; [0.9986026287078857]
+CCNc1nc2ccc(Nc3nc4cc(F)ccc4s3)cc2s1; [None]; [None]; [0]
+CC(C)(N)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; ['CC(C)(N)c1ccc(F)cc1']; ['Nc1nc2cc(F)ccc2s1']; [0.8696388006210327]
+CC(C)Oc1cncc(Nc2nc3cc(F)ccc3s2)c1; ['CC(C)Oc1cncc(Br)c1']; ['Nc1nc2cc(F)ccc2s1']; [0.9999760389328003]
+O=c1[nH]ccc2oc(Nc3nc4cc(F)ccc4s3)cc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; ['CC(C)(C)c1ccc(N=C=S)cc1', 'CC(C)(C)c1ccc(N=C=S)cc1', 'CC(C)(C)c1ccc(N=C=S)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['Nc1cc(F)ccc1Br', 'Nc1cc(F)ccc1I', 'Nc1cc(F)ccc1S', 'Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999995231628418, 0.9999971389770508, 0.9999868869781494, 0.9999843835830688, 0.9999626874923706, 0.9999229907989502, 0.9998319745063782]
+C[S@](=O)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1Nc1nc2cc(F)ccc2s1; ['COc1cccc(F)c1N', 'COc1cccc(F)c1N', 'COc1cccc(F)c1Br']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1']; [0.9999895095825195, 0.9999892711639404, 0.9999745488166809]
+OC[C@@H](Nc1nc2cc(F)ccc2s1)c1ccccc1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; ['N[C@H](CO)c1ccccc1', 'N[C@H](CO)c1ccccc1']; [0.9995166659355164, 0.9994234442710876]
 [NH3+]Cc1ccc(Nc2nc3cc(F)ccc3s2)cc1C(F)(F)F; [None]; [None]; [0]
+Fc1ccc2sc(Nc3c[nH]c4cnccc34)nc2c1; ['Brc1c[nH]c2cnccc12']; ['Nc1nc2cc(F)ccc2s1']; [0.9997916221618652]
+Fc1ccc2sc(Nc3cnc4[nH]ccc4c3)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Brc1cnc2[nH]ccc2c1']; ['Nc1cnc2[nH]ccc2c1', 'Nc1nc2cc(F)ccc2s1']; [0.9999963045120239, 0.9999802112579346]
+OC[C@H](Cc1ccccc1)Nc1nc2cc(F)ccc2s1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; ['N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1']; [0.9999920725822449, 0.9999787211418152]
+CNS(=O)(=O)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; ['CNS(=O)(=O)c1ccc(N=C=S)cc1', 'CNS(=O)(=O)c1ccc(N=C=S)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['Nc1cc(F)ccc1S', 'Nc1cc(F)ccc1I', 'Fc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999521970748901, 0.9998686909675598, 0.9998054504394531, 0.9993996620178223, 0.9962596297264099]
+CC1(Nc2nc3cc(F)ccc3s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; ['CS(=O)(=O)c1ccc(N=C=S)cc1', 'CS(=O)(=O)c1ccc(N=C=S)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Nc1cc(F)ccc1I', 'Nc1cc(F)ccc1S', 'Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999990463256836, 0.9999947547912598, 0.9999887943267822, 0.9999727010726929, 0.9999186992645264, 0.9998914003372192]
 O=c1[nH]cc(Br)c2sc(Nc3nc4cc(F)ccc4s3)cc12; [None]; [None]; [0]
+Cc1cc(Nc2nc3cc(F)ccc3s2)n(-c2cccc(Cl)c2)n1; ['Cc1cc(N)n(-c2cccc(Cl)c2)n1', 'Cc1cc(N)n(-c2cccc(Cl)c2)n1']; ['Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; [0.9990622997283936, 0.9958590269088745]
+Fc1ccc2sc(Nc3c(F)cccc3Cl)nc2c1; ['Fc1cccc(Cl)c1N=C=S', 'Fc1cccc(Cl)c1N=C=S', 'Fc1cccc(Cl)c1N=C=S', 'Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1', 'Fc1cccc(Cl)c1Br']; ['Nc1cc(F)ccc1Br', 'Nc1cc(F)ccc1I', 'Nc1cc(F)ccc1O', 'Nc1c(F)cccc1Cl', 'Nc1c(F)cccc1Cl', 'Nc1nc2cc(F)ccc2s1']; [1.0, 0.9999998807907104, 0.9999996423721313, 0.9999774694442749, 0.9999514818191528, 0.9998317360877991]
+CC(C)(C)NS(=O)(=O)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Fc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(F)ccc2s1']; [0.9999915957450867, 0.9999610185623169]
+Fc1ccc2sc(Nc3ccc(-n4cncn4)cc3)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; ['Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1']; [0.9999994039535522, 0.9999990463256836]
+Fc1ccc2sc(Nc3ccc(N4CCOCC4)cc3)nc2c1; ['Nc1cc(F)ccc1I', 'Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1cc(F)ccc1S', 'Ic1ccc(N2CCOCC2)cc1', 'Nc1cc(F)ccc1O', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1']; ['S=C=Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'S=C=Nc1ccc(N2CCOCC2)cc1', 'Nc1nc2cc(F)ccc2s1', 'S=C=Nc1ccc(N2CCOCC2)cc1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.999997615814209, 0.9999963045120239, 0.9999954104423523, 0.9999899864196777, 0.9999586343765259, 0.999944269657135, 0.9999028444290161, 0.9995965957641602]
+COc1ccc(Nc2nc3cc(F)ccc3s2)c(OC)c1; ['COc1ccc(N=C=S)c(OC)c1', 'COc1ccc(N=C=S)c(OC)c1', 'COc1ccc(N=C=S)c(OC)c1', 'COc1ccc(N=C=S)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(N)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['Nc1cc(F)ccc1Br', 'Nc1cc(F)ccc1I', 'Nc1cc(F)ccc1O', 'Nc1cc(F)ccc1S', 'Fc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1']; [1.0, 0.9999997019767761, 0.9999954104423523, 0.999993085861206, 0.9999899864196777, 0.9999449849128723, 0.9998528361320496, 0.999762237071991]
+O=C(c1ccccc1)c1ccc(Nc2nc3cc(F)ccc3s2)cc1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; ['Nc1ccc(C(=O)c2ccccc2)cc1', 'Nc1ccc(C(=O)c2ccccc2)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1']; [0.9998856782913208, 0.9997111558914185, 0.9996494054794312, 0.9995673894882202]
+CNC(=O)c1c(F)cccc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
+CSc1nc(C)c(Nc2nc3cc(F)ccc3s2)[nH]1; [None]; [None]; [0]
+CCc1cc(Nc2nc3cc(F)ccc3s2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['Nc1nc2cc(F)ccc2s1']; [0.9999982118606567]
+Fc1ccc2sc(Nc3cn(Cc4ccccc4)nn3)nc2c1; [None]; [None]; [0]
+Nc1nnc(Nc2nc3cc(F)ccc3s2)s1; [None]; [None]; [0]
+CCCCc1cc(Nc2nc3cc(F)ccc3s2)nc(N)n1; [None]; [None]; [0]
+CC(C)n1cnnc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2nc3cc(F)ccc3s2)CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(Nc2nc3cc(F)ccc3s2)n1; [None]; [None]; [0]
+Fc1ccc2sc(Nc3nc4ccccc4s3)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Clc1nc2ccccc2s1']; ['Nc1nc2ccccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9933277368545532, 0.9933277368545532]
+CC(C)(O)c1cccc(Nc2nc3cc(F)ccc3s2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1']; ['Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.999997615814209, 0.9999874830245972]
+C[C@@H2]NC(=O)N1CCC(Nc2nc3cc(F)ccc3s2)CC1; [None]; [None]; [0]
+CC1(C)Oc2ccc(Nc3nc4cc(F)ccc4s3)nc2NC1=O; ['CC1(C)Oc2ccc(N)nc2NC1=O', 'CC1(C)Oc2ccc(N)nc2NC1=O']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; [0.9876178503036499, 0.8723042011260986]
+Fc1ccc2sc(Nc3nncn3C3CC3)nc2c1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1Nc1nc2cc(F)ccc2s1; [None]; [None]; [0]
-CC1(C)Oc2ccc(Nc3nc4cc(F)ccc4s3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(Nc3nc4cc(F)ccc4s3)c2)cc1; [None]; [None]; [0]
-Fc1ccc2sc(Nc3cccc4nnsc34)nc2c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(Nc2nc3cc(F)ccc3s2)n1; [None]; [None]; [0]
+Fc1ccc2sc(Nc3cccc4ccsc34)nc2c1; ['Brc1cccc2ccsc12']; ['Nc1nc2cc(F)ccc2s1']; [0.9999980330467224]
+Nc1cncc(Nc2nc3cc(F)ccc3s2)n1; ['Nc1cncc(Cl)n1']; ['Nc1nc2cc(F)ccc2s1']; [0.9999976754188538]
+Fc1ccc2sc(Nc3ncc4ccccc4n3)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Clc1ncc2ccccc2n1']; ['Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Nc1nc2cc(F)ccc2s1']; [0.9999997615814209, 0.9999995231628418, 0.9999984502792358]
+O=C(NCCCNc1nc2cc(F)ccc2s1)c1cccs1; [None]; [None]; [0]
+CC(=O)Nc1ncc(Nc2nc3cc(F)ccc3s2)[nH]1; [None]; [None]; [0]
 O=C(NCCCNc1nc2cc(F)ccc2s1)C1CCC1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2nc3cc(F)ccc3s2)c1)C1CCNCC1; [None]; [None]; [0]
+Fc1ccc2sc(Nc3cccc4nnsc34)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Brc1cccc2nnsc12', 'Nc1cccc2nnsc12']; ['Nc1cccc2nnsc12', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [0.9999996423721313, 0.9999984502792358, 0.999981164932251]
+CNC(=O)c1ccc(Nc2nc3cc(F)ccc3s2)s1; [None]; [None]; [0]
+Fc1ccc2sc(Nc3c[nH]c4cccnc34)nc2c1; ['Brc1c[nH]c2cccnc12', 'Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; ['Nc1nc2cc(F)ccc2s1', 'Nc1c[nH]c2cccnc12', 'Nc1c[nH]c2cccnc12']; [0.9999960064888, 0.9999890327453613, 0.9999339580535889]
+OCCn1cnc(Nc2nc3cc(F)ccc3s2)c1; [None]; [None]; [0]
+Fc1ccc2sc(Nc3ncc4cc[nH]c4n3)nc2c1; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Clc1ncc2cc[nH]c2n1']; ['Nc1ncc2cc[nH]c2n1', 'Nc1ncc2cc[nH]c2n1', 'Nc1nc2cc(F)ccc2s1']; [0.9999998807907104, 0.9999996423721313, 0.9999994039535522]
+CNC(=O)c1ccc(NC(=O)c2cccc(Nc3nc4cc(F)ccc4s3)c2)cc1; [None]; [None]; [0]
+COc1ccc(C#N)cc1Nc1nc2cc(F)ccc2s1; ['COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1F']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [1.0, 1.0, 0.9999998211860657, 0.9999995231628418, 0.9999774098396301]
+COc1ccc(OC)c(Nc2nc3cc(F)ccc3s2)c1; ['COc1ccc(OC)c(N=C=S)c1', 'COc1ccc(OC)c(N=C=S)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N=C=S)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(F)c1']; ['Nc1cc(F)ccc1Br', 'Nc1cc(F)ccc1I', 'Fc1ccc2sc(Cl)nc2c1', 'Nc1nc2cc(F)ccc2s1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1cc(F)ccc1S', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1']; [1.0, 0.9999995231628418, 0.9999980926513672, 0.9999954700469971, 0.9999909400939941, 0.9999902248382568, 0.9999765157699585, 0.999725341796875, 0.9984374046325684]
+CS(=O)(=O)Nc1ccccc1CNc1nc2cc(F)ccc2s1; ['CS(=O)(=O)Nc1ccccc1C=O']; ['Nc1nc2cc(F)ccc2s1']; [0.9996198415756226]
+C[C@@]1(O)CC[C@H](Nc2nc3cc(F)ccc3s2)CC1; ['C[C@]1(O)CC[C@@H](N)CC1', 'C[C@]1(O)CC[C@@H](N)CC1']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1']; [0.9999316930770874, 0.9997453689575195]
+COc1ncccc1Nc1nc2cc(F)ccc2s1; ['COc1ncccc1Br', 'COc1ncccc1Cl', 'COc1ncccc1I', 'COc1ncccc1N', 'COc1ncccc1N']; ['Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Nc1nc2cc(F)ccc2s1', 'Fc1ccc2sc(Br)nc2c1', 'Fc1ccc2sc(Cl)nc2c1']; [0.9999966621398926, 0.9999935626983643, 0.9999920129776001, 0.9999908208847046, 0.9999575614929199]
+CN(C)S(=O)(=O)c1cccc(Nc2nc3cc(F)ccc3s2)c1; ['CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Fc1ccc2sc(Cl)nc2c1', 'Fc1ccc2sc(Br)nc2c1', 'Nc1nc2cc(F)ccc2s1']; [0.999962329864502, 0.9999396204948425, 0.9997905492782593]
+CN(C)c1nccc(-c2c(Cl)ccc3c2OCO3)n1; ['CN(C)c1nccc(Cl)n1']; ['OB(O)c1c(Cl)ccc2c1OCO2']; [0.9658554196357727]
+CN(C)c1cc(Nc2nc3cc(F)ccc3s2)cnn1; [None]; [None]; [0]
+CN(C)c1nccc(-c2cccc(O)c2)n1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', None, 'CN(C)c1nccc(Br)n1', 'CNC', 'CN(C)c1nccc(Cl)n1']; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', None, 'OB(O)c1cccc(O)c1', 'Oc1cccc(-c2ccnc(Cl)n2)c1', 'OB(O)c1cccc(O)c1']; [0.9997689723968506, 0.9995683431625366, 0, 0.9921503067016602, 0.9918513298034668, 0.9810508489608765]
+CNS(=O)(=O)c1ccc(-c2ccnc(N(C)C)n2)cc1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.9998891353607178, 0.9998791217803955, 0.9945720434188843, 0.9942233562469482, 0.95079505443573]
+CN(C)c1nccc(Oc2ccc(F)cc2)n1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9995228052139282, 0.9922851324081421]
+CN(C)c1nccc(-c2ccc(Cl)c(O)c2)n1; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Br)ccc1Cl', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9997529983520508, 0.9996752142906189, 0.9917818307876587, 0.9827667474746704, 0.9744424819946289]
+CN(C)c1nccc(-c2c(Cl)cccc2Cl)n1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999274015426636, 0.9996576309204102, 0.9972445964813232]
+CN(C)c1nccc(-c2ccc(C(N)=O)cc2)n1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.9999950528144836, 0.9999814629554749, 0.9997900724411011, 0.9997785091400146, 0.9995101690292358, 0.9900719523429871]
+CN(C)c1nccc(-c2cccc3ncccc23)n1; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cccc2ncccc12', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'Brc1cccc2ncccc12', 'Br[Mg]c1cccc2ncccc12']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1']; [0.9999597072601318, 0.99992835521698, 0.9994648694992065, 0.9989724159240723, 0.9989411234855652, 0.9782607555389404, 0.9731699228286743]
+CN(C)c1nccc(-c2ccc(C(N)=O)cc2F)n1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; [0.9999873042106628, 0.9999810457229614, 0.9999467134475708, 0.9999173879623413, 0.9998756647109985, 0.9955892562866211]
+CN(C)c1nccc(-c2ccc(O)cc2Cl)n1; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'OB(O)c1ccc(O)cc1Cl', 'OB(O)c1ccc(O)cc1Cl']; [0.9997165203094482, 0.9990836977958679, 0.9978461265563965, 0.9776281714439392]
+COc1cc(C(N)=O)ccc1-c1ccnc(N(C)C)n1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1']; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; [0.9999690055847168, 0.9999645948410034, 0.9974530339241028]
+CN(C)c1nccc(-c2n[nH]c3ccccc23)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccnc(N(C)C)n1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Br']; [0.9999814629554749, 0.9999687671661377, 0.9999362230300903, 0.999807596206665, 0.9988018274307251]
+CN(C)c1nccc(-c2ccc(O)cc2F)n1; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'OB(O)c1ccc(O)cc1F', 'OB(O)c1ccc(O)cc1F']; [0.9997243881225586, 0.998993992805481, 0.9983566403388977, 0.9973366856575012]
+COc1cc(F)ccc1-c1ccnc(N(C)C)n1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1Br']; [0.9999161958694458, 0.9998243451118469, 0.9997235536575317, 0.9996219277381897, 0.9984945058822632, 0.96631920337677]
+CN(C)c1nccc(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
+COc1cc(-c2ccnc(N(C)C)n2)ccc1O; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O']; [0.999987006187439, 0.9999741315841675, 0.9997342824935913, 0.9918141961097717, 0.9852393269538879, 0.980006217956543]
+CN(C)c1nccc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccnc(N(C)C)n2)o1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccco1']; [0.9942172765731812, 0.9647386074066162, 0.9319189786911011]
+Cc1nc2c(F)cc(-c3ccnc(N(C)C)n3)cc2[nH]1; [None]; [None]; [0]
+CN(C)c1nccc(-c2cn[nH]c2Cl)n1; [None]; [None]; [0]
 CN(C)c1nccc(-c2ccc(-c3ccc(O)cc3O)cc2)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2cnn3ncccc23)n1; [None]; [None]; [0]
+CN(C)c1nccc(-c2cccc(Br)c2)n1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CN(C)/C=C/C(=O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'CN(C)c1nccc(Cl)n1', None, 'CNC', None, 'CN(C)c1nccc(Br)n1', None, None, 'Brc1cccc(Br)c1']; ['CN(C)c1nccc(Cl)n1', 'CN(C)C(=N)N', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'OB(O)c1cccc(Br)c1', None, 'Clc1nccc(-c2cccc(Br)c2)n1', None, 'OB(O)c1cccc(Br)c1', None, None, 'CN(C)c1nccc(Br)n1']; [0.9999747276306152, 0.9999704360961914, 0.9997262358665466, 0.9985924959182739, 0.9968956112861633, 0, 0.9939548969268799, 0, 0.9799975156784058, 0, 0, 0.9071388244628906]
+CN(C)c1nccc(-c2ccc(O)c(F)c2)n1; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'OB(O)c1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1']; [0.9999759793281555, 0.9999673366546631, 0.9986944794654846, 0.9952762126922607]
+CN(C)c1nccc(-c2ccc3ccccc3c2)n1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'CNC', 'COS(=O)(=O)OC', None, None, None, None]; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'Clc1nccc(-c2ccc3ccccc3c2)n1', 'Nc1nccc(-c2ccc3ccccc3c2)n1', None, None, None, None]; [0.9999815821647644, 0.99997878074646, 0.9999047517776489, 0.999796986579895, 0.9996054172515869, 0.9966061115264893, 0.9888694286346436, 0.9876672625541687, 0, 0, 0, 0]
+CN(C)c1nccc(-c2cn(C)c3ccccc23)n1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CNC']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1cc(-c2ccnc(Cl)n2)c2ccccc21']; [0.9996802806854248, 0.9917398691177368, 0.9916478395462036]
+COC(=O)c1ccc(Cl)c(-c2ccnc(N(C)C)n2)c1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1']; ['COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; [0.9999793767929077, 0.9999587535858154, 0.9998271465301514, 0.9992385506629944, 0.9945755004882812, 0.993649423122406, 0.9898971319198608]
+CN(C)c1nccc(-c2cnn3ncccc23)n1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1']; [0.9999608993530273, 0.9998655319213867, 0.9963186979293823]
+CN(C)c1nccc(-c2ccc(O)cc2O)n1; ['CN(C)c1nccc(Br)n1']; ['Oc1ccc(Br)c(O)c1']; [0.9132916927337646]
+CN(C)c1nccc(-c2ccnc(N)c2)n1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['CN(C)c1nccc(Cl)n1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1']; [0.999893307685852, 0.982269287109375, 0.8920472860336304]
+COc1cc(CCc2ccnc(N(C)C)n2)ccc1O; [None]; [None]; [0]
+CN(C)c1nccc(-c2c[nH]c3cnccc23)n1; ['CN(C)c1nccc(Br)n1']; ['OB(O)c1c[nH]c2cnccc12']; [0.9974658489227295]
+CN(C)c1nccc(COc2ccccc2Cl)n1; [None]; [None]; [0]
+CN(C)c1nccc(-c2cc(O)ccc2Cl)n1; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C']; ['CN(C)c1nccc(Cl)n1']; [0.9985847473144531]
+CN(C)c1nccc(-c2ccc(F)c(Cl)c2)n1; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'Fc1ccc(Br)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc([Mg]Br)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc([Mg]Br)cc1Cl']; [0.9999996423721313, 0.9999991655349731, 0.9999687075614929, 0.9999449253082275, 0.9999105930328369, 0.9997284412384033, 0.9996521472930908, 0.998952329158783]
+CN(C)c1nccc(-c2[nH]cnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccnc(N(C)C)n1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O']; [0.999733567237854, 0.999373197555542, 0.9948259592056274]
+CN(C)c1nccc(-c2cnc(O)c(Cl)c2)n1; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C']; ['CN(C)c1nccc(Cl)n1']; [0.9999932050704956]
+Cc1ccc2[nH]ncc2c1-c1ccnc(N(C)C)n1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br']; [0.9999847412109375, 0.9999756813049316, 0.9991112947463989, 0.9979628920555115, 0.9775996804237366]
+CN(C)c1nccc(-c2c[nH]c(C(N)=O)c2)n1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccnc(N(C)C)n2)c1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; [0.9999794960021973, 0.9999412298202515, 0.9999033808708191, 0.9997876882553101, 0.9968398809432983]
+COc1ccc(-c2ccnc(N(C)C)n2)cc1OC; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC']; [0.9999882578849792, 0.9999871253967285, 0.9999790191650391, 0.9985207319259644, 0.9985092878341675, 0.9958245754241943]
+CCOc1cccc(-c2ccnc(N(C)C)n2)c1; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc([Mg]Br)c1']; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1']; [0.99993896484375, 0.9999040365219116, 0.9959069490432739, 0.9956995248794556, 0.9935503005981445, 0.9311779141426086]
+CN(C)c1nccc(-c2cnc3[nH]ccc3c2)n1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'Brc1cnc2[nH]ccc2c1', 'CN(C)c1nccc(Cl)n1', 'Brc1cnc2[nH]ccc2c1']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'OB(O)c1cnc2[nH]ccc2c1', 'CN(C)c1nccc(Cl)n1', 'OB(O)c1cnc2[nH]ccc2c1', 'CN(C)c1nccc(Br)n1']; [0.9999995231628418, 0.9999978542327881, 0.9999674558639526, 0.9999169111251831, 0.9999088644981384, 0.9983251094818115]
+CN(C)c1nccc(-c2ccc(NC(N)=O)cc2)n1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; [0.9999949932098389, 0.9999948143959045]
+COc1cc(CCc2ccnc(N(C)C)n2)cc(OC)c1; [None]; [None]; [0]
+CN(C)c1nccc(-c2ccc(S(C)(=O)=O)cc2)n1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1']; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; [0.9999997615814209, 0.9999997615814209, 0.9999971985816956, 0.9999932646751404, 0.9999749660491943, 0.9998880624771118, 0.9998205900192261]
+CN(C)c1nccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
+CN(C)c1nccc(-c2cncc(O)c2)n1; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['CN(C)c1nccc(Cl)n1', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1']; [0.9995462894439697, 0.9781064987182617, 0.9283350706100464, 0.9131656885147095]
+Cc1nc2ccc(-c3ccnc(N(C)C)n3)cc2[nH]1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1']; [0.9999933242797852, 0.9999839067459106]
+CNC(=O)c1cccc2cc(-c3ccnc(N(C)C)n3)ccc12; [None]; [None]; [0]
+CN(C)c1nccc(-c2ccc3c(c2)CC(=O)N3)n1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9998410940170288, 0.9998016357421875, 0.9983679056167603, 0.9970321655273438, 0.9944232702255249]
+CCc1cc(O)ccc1-c1ccnc(N(C)C)n1; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; [0.9998230934143066, 0.9994839429855347]
+Cc1n[nH]c(-c2ccnc(N(C)C)n2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccnc(N(C)C)n1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O']; [0.9984546899795532, 0.995589017868042, 0.9948713779449463, 0.979175329208374]
+CN(C)c1nccc(N(C)c2cccc(Cl)c2)n1; ['CN(C)c1nccc(Cl)n1']; ['CNc1cccc(Cl)c1']; [0.9789251089096069]
+CCc1cc(O)c(F)cc1-c1ccnc(N(C)C)n1; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; [0.9999775886535645, 0.9998106956481934]
 Cc1n[nH]c2cc(N(C)c3ccnc(N(C)C)n3)ccc12; [None]; [None]; [0]
+CN(C)c1nccc(-c2ccncc2Cl)n1; ['CN(C)c1nccc(Br)n1', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CN(C)c1nccc(Cl)n1', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CN(C)c1nccc(Cl)n1']; ['OB(O)c1ccncc1Cl', 'CN(C)c1nccc(Br)n1', 'OB(O)c1ccncc1Cl', 'CN(C)c1nccc(Cl)n1', 'Clc1cnccc1Br']; [0.9997075796127319, 0.9978233575820923, 0.9932966828346252, 0.9927918910980225, 0.9918144345283508]
+C[C@H](CC(N)=O)c1ccnc(N(C)C)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccnc(N(C)C)n2)n1; [None]; [None]; [0]
+CN(C)c1nccc(-c2cc(Cl)c(O)c(Cl)c2)n1; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['CN(C)c1nccc(Cl)n1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9997967481613159, 0.9938260316848755, 0.9774297475814819]
+CCc1sccc1-c1ccnc(N(C)C)n1; [None]; [None]; [0]
+CN(C)c1nccc(-c2ccc3c(c2)CCN3)n1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'CN(C)c1nccc(Cl)n1']; ['CN(C)c1nccc(Cl)n1', 'OB(O)c1ccc2c(c1)CCN2']; [0.9999947547912598, 0.999224841594696]
+CN(C)c1nccc(-c2cc(C(F)F)n[nH]2)n1; [None]; [None]; [0]
+CN(C)c1nccc(Nc2ccncc2)n1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['Nc1ccncc1', 'Nc1ccncc1']; [0.998986005783081, 0.989224910736084]
+CNc1nc(-c2ccnc(N(C)C)n2)ncc1F; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccnc(N(C)C)n2)cc1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1']; [0.9999933242797852, 0.9999834299087524, 0.9999659061431885, 0.9997228384017944, 0.9996775388717651, 0.9993063807487488]
+CN(C)c1nccc(-c2ccc(Br)cc2F)n1; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CN(C)c1nccc(Cl)n1', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['CN(C)c1nccc(Cl)n1', 'OB(O)c1ccc(Br)cc1F', 'CN(C)c1nccc(Br)n1', 'Fc1cc(Br)ccc1Br', 'OB(O)c1ccc(Br)cc1F']; [0.9999549388885498, 0.9999229907989502, 0.9997686147689819, 0.9986996650695801, 0.997776210308075]
 CN(C)c1nccc(-c2cc(O)n3nccc3n2)n1; [None]; [None]; [0]
+CN(C)c1nccc(-c2ccc3[nH]c(=O)[nH]c3c2)n1; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1']; [0.9999715089797974, 0.9999692440032959, 0.9999039769172668, 0.999618411064148]
+CN(C)c1nccc(-c2[nH]nc3ccc(F)cc23)n1; [None]; [None]; [0]
 Cc1oc(-c2ccnc(N(C)C)n2)cc1C(=O)[O-]; [None]; [None]; [0]
-CN(C)c1nccc(N(C)c2cccc3[nH]ncc23)n1; [None]; [None]; [0]
-CN(C)c1nccc(-c2ocnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cc(O)n4nccc4n3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cnn4ncccc34)cc12; [None]; [None]; [0]
-Cc1oc(-c2ccc3ncnc(N)c3c2)cc1C(=O)[O-]; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ocnc3-c3ccc(F)cc3)cc12; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc4ncnc(N)c4c3)cc2)CC1; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3ccc4ncnc(N)c4c3)cn2)c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ccc4c(c3)CS(=O)(=O)C4)cc12; [None]; [None]; [0]
-CC(C)c1cc(-c2ccc3ncnc(N)c3c2)nc(N)n1; [None]; [None]; [0]
-CCCOc1ccc(-c2ccc3ncnc(N)c3c2)nc1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3ccc4ncnc(N)c4c3)c2)CC1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3ccc4ncnc(N)c4c3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(Cc3nc4c(F)c(F)ccc4[nH]3)cc12; [None]; [None]; [0]
-Nc1ncnc2ccc(NC3CN(C(=O)C4CC4)C3)cc12; [None]; [None]; [0]
-Nc1cc(-c2ccc3ncnc(N)c3c2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cc12; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1ccc3ncnc(N)c3c1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2ccc3ncnc(N)c3c2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3ccc4ncnc(N)c4c3)[nH]c2c1; [None]; [None]; [0]
-Nc1ncnc2ccc(-c3ncn4c3CCCC4)cc12; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3ccc4ncnc(N)c4c3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3ccc4ncnc(N)c4c3)cn2)CC1; [None]; [None]; [0]
-Nc1ncnc2ccc(NC(=O)c3cccc(OC(F)(F)F)c3)cc12; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3ccc4ncnc(N)c4c3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1ccc2ncnc(N)c2c1; [None]; [None]; [0]
-Cn1nc(-c2ccc3ncnc(N)c3c2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2ccc3ncnc(N)c3c2)ncc1F; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1sc(C(C)(C)O)nc1C; [None]; [None]; [0]
+Cc1cc(-c2ccnc(N(C)C)n2)ccc1C(N)=O; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O']; [0.9999992847442627, 0.9999985694885254, 0.999967634677887, 0.9985833168029785]
+CN(C)c1nccc(N(C)c2cccc3[nH]ncc23)n1; ['CN(C)c1nccc(Cl)n1']; ['CNc1cccc2[nH]ncc12']; [0.9731419086456299]
+CN(C)c1nccc(-c2cc(O)cc(Br)c2)n1; ['CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C']; ['CN(C)c1nccc(Cl)n1', 'OB(O)c1cc(O)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'CN(C)c1nccc(Br)n1']; [0.998426079750061, 0.9968934059143066, 0.9961121678352356, 0.9936583638191223]
+CN(C)c1nccc(-c2c(N)cnn2C)n1; [None]; [None]; [0]
+CN(C)c1nccc(-c2ccc(C(=O)NC3CC3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999996423721313, 0.9999994039535522, 0.9999963045120239, 0.999990701675415, 0.9999328851699829]
+Cc1cc(-c2ccnc(N(C)C)n2)cc(C)c1O; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O']; [0.9998816251754761, 0.9998358488082886, 0.9959163665771484, 0.9775597453117371, 0.9754576086997986, 0.8927618265151978]
+Cc1nc2ccc(-c3ccnc(N(C)C)n3)cc2o1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1']; [0.9999994039535522, 0.9999905824661255, 0.9999833106994629, 0.9999793767929077]
+CSc1cccc(-c2ccnc(N(C)C)n2)c1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1']; [0.9999834299087524, 0.9999462366104126, 0.9938865900039673, 0.975639820098877, 0.9620046615600586]
+CN(C)c1nccc(-c2cc(F)c(O)c(F)c2)n1; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F']; [0.999958336353302, 0.9999446868896484, 0.9968667030334473, 0.9956792593002319, 0.9402804374694824]
+CN(C)c1nccc(OCc2cccc3ccccc23)n1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['OCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0.9968472719192505, 0.920120358467102]
+CN(C)c1nccc(Oc2ccc(F)cc2F)n1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999953508377075, 0.9998496770858765]
+CN(C)c1nccc(-c2ocnc2-c2ccc(F)cc2)n1; ['CN(C)c1nccc(Br)n1']; ['Fc1ccc(-c2cocn2)cc1']; [0.9849636554718018]
+CN(C)c1nccc(OCc2ccc(F)cc2F)n1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F']; [0.9999446868896484, 0.9996035099029541]
+CN(C)c1nccc(-c2ccc3c(=O)[nH][nH]c3c2)n1; ['CN(C)c1nccc(Cl)n1', 'CN(C)c1nccc(Br)n1']; ['O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12']; [0.9999890327453613, 0.9975471496582031]
+CN(C)c1nccc(NCc2c(F)cccc2Cl)n1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.999970555305481, 0.9997991323471069]
+Cc1onc(-c2ccccc2)c1-c1ccnc(N(C)C)n1; ['CN(C)c1nccc(Br)n1', 'CN(C)c1nccc(Cl)n1']; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O']; [0.999962329864502, 0.9993763566017151]
+CNc1nccc(-c2cccc(O)c2)n1; ['CN', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CNc1nccc(Cl)n1']; ['Oc1cccc(-c2ccnc(Cl)n2)c1', 'CNc1nccc(Cl)n1', 'OB(O)c1cccc(O)c1']; [0.998577356338501, 0.9985545873641968, 0.9969093203544617]
+CNc1nccc(-c2cccc3ncccc23)n1; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Cl)n1', 'OB(O)c1cccc2ncccc12']; [0.9997022151947021, 0.9961333274841309]
+CNc1nccc(-c2c(Cl)ccc3c2OCO3)n1; ['CNc1nccc(Cl)n1']; ['OB(O)c1c(Cl)ccc2c1OCO2']; [0.9835196137428284]
+CNc1nccc(-c2ccc(Cl)c(O)c2)n1; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Cl)n1', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9993619918823242, 0.9966063499450684]
+CN(C)c1nccc(-c2cn[nH]c2-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
+CN(C)c1nccc(CCc2ccc(F)cc2F)n1; [None]; [None]; [0]
+CNc1nccc(Oc2ccc(F)cc2)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9907478094100952, 0.9466890096664429]
+CNc1nccc(-c2ccc(S(=O)(=O)NC)cc2)n1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; [0.9999797344207764, 0.999019980430603]
+CNc1nccc(-c2c(Cl)cccc2Cl)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl']; [0.9990357160568237, 0.9960777163505554]
+CN(C)c1nccc(CCc2c[nH]c3ccccc23)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(C(N)=O)cc2)n1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.9999969005584717, 0.9999949932098389, 0.9999604225158691, 0.9998348951339722]
+CNc1nccc(-c2ccc(O)cc2Cl)n1; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C']; ['CNc1nccc(Cl)n1']; [0.9996852874755859]
+CNc1nccc(-c2ccc(C(N)=O)cc2OC)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; [0.9999415874481201, 0.9999394416809082, 0.9957553148269653]
+CNc1nccc(-c2ccc(C(N)=O)cc2F)n1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; [0.999997079372406, 0.9999921321868896, 0.9999818801879883, 0.9999439120292664, 0.9998178482055664]
+CNc1nccc(-c2ccc(O)cc2F)n1; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Cl)n1', 'OB(O)c1ccc(O)cc1F']; [0.999637246131897, 0.9993979930877686]
+CNc1nccc(-c2n[nH]c3ccccc23)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(F)cc2OC)n1; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O']; [0.9999271631240845, 0.9997584819793701, 0.9996589422225952]
+CNc1nccc(-c2cc(F)ccc2OC)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
+CNc1nccc(-c2cccc(Br)c2)n1; ['CN(C)/C=C/C(=O)c1cccc(Br)c1', 'CN(C)C=CC(=O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'CN', 'Brc1cccc(Br)c1', None, 'CI']; ['CNC(=N)N', 'CNC(=N)N', 'CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Clc1nccc(-c2cccc(Br)c2)n1', 'CNc1nccc(Cl)n1', None, 'Nc1nccc(-c2cccc(Br)c2)n1']; [0.9999915361404419, 0.9999915361404419, 0.9997637271881104, 0.9995262622833252, 0.9985405206680298, 0.9982800483703613, 0.9933702945709229, 0.9865332841873169, 0, 0.8569704294204712]
+CNc1nccc(-c2ccc(C(=O)OC)o2)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(-c3ccc(O)cc3O)cc2)n1; [None]; [None]; [0]
+CNc1nccc(-c2cn[nH]c2Cl)n1; [None]; [None]; [0]
+CNc1nccc(-c2cn(C)c3ccccc23)n1; ['CNc1nccc(Cl)n1', 'CN']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(-c2ccnc(Cl)n2)c2ccccc21']; [0.9998787641525269, 0.9988139271736145]
+CNc1nccc(-c2ccc3ccccc3c2)n1; ['CNc1nccc(Br)n1', 'CN(C)/C=C/C(=O)c1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CNc1nccc(Cl)n1', 'CN', 'COS(=O)(=O)C(F)(F)F', 'CI']; ['OB(O)c1ccc2ccccc2c1', 'CNC(=N)N', 'CNc1nccc(Cl)n1', 'OB(O)c1ccc2ccccc2c1', 'Clc1nccc(-c2ccc3ccccc3c2)n1', 'Nc1nccc(-c2ccc3ccccc3c2)n1', 'Nc1nccc(-c2ccc3ccccc3c2)n1']; [0.9999724626541138, 0.9999566078186035, 0.9998316764831543, 0.9990960955619812, 0.9937190413475037, 0.9930703639984131, 0.8693506121635437]
+CNc1nccc(CCc2ccc(O)c(OC)c2)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(O)c(F)c2)n1; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C']; ['CNc1nccc(Cl)n1']; [0.9998487830162048]
+CNc1nccc(-c2cc(F)c3nc(C)[nH]c3c2)n1; [None]; [None]; [0]
+CNc1nccc(-c2cnn3ncccc23)n1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['CNc1nccc(Cl)n1']; [0.9999350905418396]
+CNc1nccc(COc2ccccc2Cl)n1; ['CNc1nccc(CO)n1', 'CNc1nccc(CO)n1', 'CNc1nccc(CO)n1', 'CNc1nccc(CO)n1']; ['Clc1ccccc1Br', 'Clc1ccccc1I', 'Oc1ccccc1Cl', 'Fc1ccccc1Cl']; [0.9393224120140076, 0.9259769916534424, 0.9151335954666138, 0.8919840455055237]
+CNc1nccc(-c2cc(C(=O)OC)ccc2Cl)n1; ['CNc1nccc(Br)n1', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; [0.9999680519104004, 0.9999566078186035, 0.9999133348464966, 0.9988797307014465, 0.991375207901001]
+CNc1nccc(-c2c[nH]c3cnccc23)n1; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9989373683929443, 0.9956833124160767]
+CNc1nccc(-c2ccnc(N)c2)n1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1']; [0.9999596476554871, 0.999945342540741, 0.9997192621231079, 0.9991387128829956]
+CNc1nccc(-c2ccc(F)c(Cl)c2)n1; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'OB(O)c1ccc(F)c(Cl)c1', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl']; [0.9999990463256836, 0.9999929666519165, 0.9999855160713196, 0.9995297789573669, 0.9990181922912598]
+CNc1nccc(-c2[nH]cnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
+CNc1nccc(-c2c(C)ccc3[nH]ncc23)n1; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B(O)O']; [0.9999979734420776, 0.9999955892562866, 0.9998171329498291, 0.9990705847740173]
+CNc1nccc(-c2cnc(O)c(Cl)c2)n1; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C']; ['CNc1nccc(Cl)n1']; [0.9999909400939941]
+CNc1nccc(-c2cc(O)ccc2Cl)n1; [None]; [None]; [0]
+CNc1nccc(-c2cc(CO)ccc2C)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1B(O)O']; [0.9995562434196472, 0.9928969144821167, 0.9833630323410034]
+CNc1nccc(-c2ccc(O)cc2O)n1; [None]; [None]; [0]
+CNc1nccc(-c2c[nH]c(C(N)=O)c2)n1; [None]; [None]; [0]
+CNc1nccc(-c2cc(OC)cc(OC)c2)n1; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1']; [0.9999895095825195, 0.999956488609314, 0.9998604655265808, 0.9997925758361816]
+CCOc1cccc(-c2ccnc(NC)n2)c1; ['CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1']; ['CNc1nccc(Br)n1', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; [0.99986732006073, 0.9998596906661987, 0.9997334480285645, 0.9993739128112793]
+CNc1nccc(-c2ccc(OC)c(OC)c2)n1; ['CNC(=N)N', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['COc1ccc(C(=O)C=CN(C)C)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; [0.9999985694885254, 0.9999470710754395, 0.9998495578765869, 0.9997451305389404]
+CNc1nccc(CCc2cc(OC)cc(OC)c2)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(NC(N)=O)cc2)n1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['CNc1nccc(Cl)n1']; [0.9999721646308899]
+CNc1nccc(-c2cnc3[nH]ccc3c2)n1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'Brc1cnc2[nH]ccc2c1']; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'CNc1nccc(Cl)n1']; [0.9999995231628418, 0.9999971389770508, 0.9999752044677734, 0.9999102354049683, 0.9997998476028442]
+CNc1nccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(S(C)(=O)=O)cc2)n1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9999992251396179, 0.9999979138374329, 0.9998964667320251]
+CNc1nccc(-c2cncc(O)c2)n1; ['CNc1nccc(Br)n1', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'CNc1nccc(Cl)n1']; ['OB(O)c1cncc(O)c1', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'OB(O)c1cncc(O)c1']; [0.999725878238678, 0.9995409846305847, 0.9980920553207397, 0.9937669038772583]
+CNc1nccc(-c2ccc3nc(C)[nH]c3c2)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3c(c2)CC(=O)N3)n1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CNc1nccc(Br)n1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1', 'CNc1ncccn1']; ['CNc1nccc(Br)n1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'CNc1nccc(Cl)n1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9998844861984253, 0.9995030760765076, 0.9992632865905762, 0.9967999458312988, 0.9536242485046387, 0.7791321873664856]
+CCc1cc(O)ccc1-c1ccnc(NC)n1; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['CNc1nccc(Cl)n1']; [0.9987801909446716]
+CNc1nccc(N(C)c2ccc3c(C)n[nH]c3c2)n1; [None]; [None]; [0]
+CNc1nccc(-c2[nH]nc(C)c2C)n1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccnc(NC)n1; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; ['CNc1nccc(Cl)n1']; [0.9997341632843018]
+CNc1nccc(N(C)c2cccc(Cl)c2)n1; ['CNc1cccc(Cl)c1']; ['CNc1nccc(Cl)n1']; [0.8342633247375488]
+CNC(=O)c1cccc2cc(-c3ccnc(NC)n3)ccc12; [None]; [None]; [0]
+CNc1nccc(-c2ccc(O)cc2C)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O']; [0.9888673424720764, 0.9796075820922852]
+CNc1nccc([C@H](C)CC(N)=O)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccncc2Cl)n1; ['CNc1nccc(Br)n1', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CNc1nccc(Cl)n1']; ['OB(O)c1ccncc1Cl', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'OB(O)c1ccncc1Cl']; [0.9997131824493408, 0.9994876384735107, 0.9982080459594727, 0.9924839735031128]
+CNc1nccc(-c2ccnc(NC)n2)n1; [None]; [None]; [0]
+CCc1sccc1-c1ccnc(NC)n1; [None]; [None]; [0]
+CNc1nccc(-c2cc(Cl)c(O)c(Cl)c2)n1; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Cl)n1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1']; [0.9993822574615479, 0.9713942408561707]
+CNc1nccc(-c2ccc3c(c2)CCN3)n1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2']; [0.9999856948852539, 0.9999278783798218, 0.999814510345459, 0.9986499547958374]
+CNc1nccc(-c2cc(C(F)F)n[nH]2)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3[nH]c(=O)[nH]c3c2)n1; ['CNc1nccc(Cl)n1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C']; ['O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'CNc1nccc(Cl)n1']; [0.9993034601211548, 0.9985469579696655]
+CNc1nccc(Nc2ccncc2)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(N)n1', 'Brc1ccncc1', 'CNc1nccc(Br)n1', 'CNc1nccc(N)n1']; ['Nc1ccncc1', 'Ic1ccncc1', 'CNc1nccc(N)n1', 'Nc1ccncc1', 'Clc1ccncc1']; [0.9998054504394531, 0.9993817210197449, 0.9984645843505859, 0.9980547428131104, 0.9962358474731445]
+CNc1nccc(-c2ncc(F)c(NC)n2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccnc(NC)n2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; [0.999993085861206, 0.9998760223388672]
+CNc1nccc(-c2ccc(Br)cc2F)n1; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1']; ['CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F']; [0.9999760389328003, 0.999958872795105, 0.9998962879180908, 0.9994093179702759]
+CNc1nccc(-c2cc(C(=O)[O-])c(C)o2)n1; [None]; [None]; [0]
+CNc1nccc(-c2cc(O)n3nccc3n2)n1; [None]; [None]; [0]
+CNc1nccc(-c2[nH]nc3ccc(F)cc23)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(C(=O)NC3CC3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.9999997615814209, 0.9999996423721313, 0.9999990463256836, 0.9999898672103882]
+CNc1nccc(-c2cc(O)cc(Br)c2)n1; ['CNc1nccc(Cl)n1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C']; ['OB(O)c1cc(O)cc(Br)c1', 'CNc1nccc(Cl)n1']; [0.999458372592926, 0.99769127368927]
+CNc1nccc(-c2ccc(C(N)=O)c(C)c2)n1; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; [0.9999963045120239, 0.9999834299087524]
+CNc1nccc(N(C)c2cccc3[nH]ncc23)n1; ['CNc1cccc2[nH]ncc12']; ['CNc1nccc(Cl)n1']; [0.9805264472961426]
+CNc1nccc(-c2c(N)cnn2C)n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3nc(C)oc3c2)n1; ['CNc1nccc(Cl)n1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1']; [0.9999837875366211]
+CNc1nccc(-c2cc(C)c(O)c(C)c2)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O']; [0.99709153175354, 0.9830120801925659]
+CNc1nccc(-c2cc(F)c(O)c(F)c2)n1; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'CNc1nccc(Cl)n1']; ['CNc1nccc(Cl)n1', 'OB(O)c1cc(F)c(O)c(F)c1']; [0.9995739459991455, 0.995762288570404]
+CNc1nccc(-c2ccc3c(=O)[nH][nH]c3c2)n1; ['CNc1ncccn1']; ['O=c1[nH][nH]c2cc(Br)ccc12']; [0.8953568935394287]
+CNc1nccc(Oc2ccc(F)cc2F)n1; ['CNc1nccc(Cl)n1']; ['Oc1ccc(F)cc1F']; [0.9999555349349976]
+CNc1nccc(-c2cccc(SC)c2)n1; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1']; [0.999995231628418, 0.9999755620956421, 0.9994548559188843, 0.9943740367889404, 0.9921362400054932]
+CNc1nccc(-c2c(-c3ccccc3)noc2C)n1; ['CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O']; [0.999990701675415, 0.9998520016670227]
+CNc1nccc(OCc2cccc3ccccc23)n1; ['CNc1nccc(Cl)n1']; ['OCc1cccc2ccccc12']; [0.9502324461936951]
+CNc1nccc(CCc2ccc(F)cc2F)n1; [None]; [None]; [0]
+CNc1nccc(OCc2ccc(F)cc2F)n1; ['CNc1nccc(Cl)n1']; ['OCc1ccc(F)cc1F']; [0.9991447329521179]
+CNc1nccc(NCc2c(F)cccc2Cl)n1; ['CNc1nccc(Br)n1', 'CNc1nccc(N)n1', 'CNc1nccc(Cl)n1']; ['NCc1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.9999992847442627, 0.999988317489624, 0.9999778270721436]
+CNc1nccc(CCc2c[nH]c3ccccc23)n1; [None]; [None]; [0]
+CNc1nccc(-c2ocnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
+COc1ccc(-c2cccc3ncccc23)cc1; ['Brc1cccc2ncccc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cccc2ncccc12', 'Brc1cccc2ncccc12', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B(O)O)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(OS(C)(=O)=O)cc1', 'COc1ccc(Br)cc1', 'Brc1cccc2ncccc12', 'COc1ccc(OS(=O)(=O)c2ccc(C)cc2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'Brc1cccc2ncccc12', 'Br[Mg]c1cccc2ncccc12', 'Brc1cccc2ncccc12', 'COc1ccc(Cl)cc1', 'Brc1cccc2ncccc12', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccccc1', 'Br[Mg]c1cccc2ncccc12', 'Brc1cccc2ncccc12', 'COc1ccc(-c2cccc(N)c2)cc1', 'COc1ccccc1', 'COc1ccc(B(O)O)cc1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cccc2ncccc12', 'Clc1cccc2ncccc12', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B(O)O)cc1', 'Ic1cccc2ncccc12', 'Ic1cccc2ncccc12', 'Clc1cccc2ncccc12', 'Ic1cccc2ncccc12', 'COc1ccc(Cl)cc1', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'COc1ccc(I)cc1', 'OB(O)c1cccc2ncccc12', 'Ic1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc(OS(=O)(=O)c2ccc(C)cc2)cc1', 'COc1ccc([Mg]Br)cc1', 'OB(O)c1cccc2ncccc12', 'COc1ccc(Br)cc1', 'Clc1cccc2ncccc12', 'OCc1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'COc1ccc(Br)cc1', 'COc1ccccc1', 'OCC(O)CO', 'Clc1cccc2ncccc12', 'c1ccc2ncccc2c1']; [0.9999997615814209, 0.999998927116394, 0.9999958872795105, 0.9999938607215881, 0.9999885559082031, 0.999984860420227, 0.9999719858169556, 0.9999716281890869, 0.9999376535415649, 0.9999254941940308, 0.9999233484268188, 0.9999231100082397, 0.9999152421951294, 0.9999042749404907, 0.9998763799667358, 0.9998622536659241, 0.9997931718826294, 0.9997830390930176, 0.9996939897537231, 0.9996703267097473, 0.9989181756973267, 0.9980250597000122, 0.9974459409713745, 0.9967638254165649, 0.9903769493103027, 0.989659309387207, 0.9772824645042419, 0.9772003889083862, 0.9471433758735657, 0.9138628244400024, 0.8810718655586243, 0.8287276029586792]
+COc1ccc(-c2cccc(O)c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(OC)cc2)cc1; ['CN', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', None, 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CN', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['COc1ccc(-c2ccc(S(=O)(=O)Cl)cc2)cc1', 'COc1ccc(I)cc1', None, 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(-c2ccccc2)cc1', 'COc1ccc(I)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc([Mg]Br)cc1']; [0.9998207688331604, 0.9997893571853638, 0, 0.9996992349624634, 0.9996992349624634, 0.9991960525512695, 0.9967242479324341, 0.9967242479324341, 0.9959326982498169, 0.9954386353492737, 0.9954386353492737, 0.9912323951721191, 0.9751189351081848, 0.9746790528297424, 0.9467239379882812, 0.8032339811325073]
+COc1ccc(-c2c(Cl)ccc3c2OCO3)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(Cl)c(O)c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2n[nH]c3ccccc23)cc1; ['CC(C)(C)OC(=O)n1nc(I)c2ccccc21', 'Brc1n[nH]c2ccccc12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'Brc1n[nH]c2ccccc12', None, 'COc1ccc(B(O)O)cc1']; ['COc1ccc(B(O)O)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1n[nH]c2ccccc12', 'Clc1n[nH]c2ccccc12', 'Ic1n[nH]c2ccccc12', 'COc1ccc(B(O)O)cc1', None, 'Clc1n[nH]c2ccccc12']; [0.9999991655349731, 0.9999902248382568, 0.9999853372573853, 0.9998229742050171, 0.9996271133422852, 0.999284565448761, 0, 0.9978761672973633]
+CNc1nccc(-c2cn[nH]c2-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
+COc1ccc(Oc2ccc(F)cc2)cc1; ['COc1ccc(O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(O)cc1', 'C[O-]', 'CO', 'CO', 'CI', 'COc1ccc(OS(=O)(=O)C(F)(F)F)c([Si](C)(C)C)c1', 'COc1ccc(O)cc1', 'COc1ccc(B(O)O)cc1', 'COS(=O)(=O)OC', 'COc1ccc(OS(C)(=O)=O)cc1', 'COc1ccc(F)cc1', 'COc1ccc(O)cc1', 'COc1ccc(I)cc1', 'CC(C)(C)[Si](C)(C)Oc1ccc(F)cc1', None]; ['Fc1ccc(Br)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1', 'Fc1ccc(Cl)cc1', 'Fc1ccc(Oc2ccc(Br)cc2)cc1', 'Fc1ccc(Oc2ccc(I)cc2)cc1', 'Fc1ccc(Oc2ccc(Br)cc2)cc1', 'Oc1ccc(Oc2ccc(F)cc2)cc1', 'Oc1ccc(F)cc1', 'OB(O)c1ccc(F)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(Oc2ccc(F)cc2)cc1', 'Fc1ccc(F)cc1', 'CS(=O)(=O)Oc1ccc(F)cc1', 'Fc1ccc(I)cc1', 'Oc1ccc(F)cc1', 'COc1ccc(F)cc1', None]; [0.9859410524368286, 0.9859410524368286, 0.980307936668396, 0.980307936668396, 0.9696918725967407, 0.968478262424469, 0.9604246616363525, 0.9560761451721191, 0.9560197591781616, 0.9552098512649536, 0.9552098512649536, 0.9528828859329224, 0.9260864853858948, 0.9260864853858948, 0.9146770238876343, 0.9146770238876343, 0.8937641382217407, 0]
+COc1ccc(-c2ccc(C(N)=O)cc2OC)cc1; ['COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1']; [0.9999927282333374, 0.9999523162841797, 0.9999432563781738, 0.9997438788414001]
+COc1ccc(-c2c(Cl)cccc2Cl)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccnc(N)n2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(C(=O)C=CN(C)C)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', None, None]; ['Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1', 'N=C(N)N', 'Nc1nccc(Cl)n1', 'Nc1ncccn1', None, None]; [0.9999929666519165, 0.9999569058418274, 0.9998910427093506, 0.9996775388717651, 0.9942054748535156, 0, 0]
+COc1ccc(-c2ccc(C(N)=O)cc2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(C(N)=O)cc2F)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(O)cc2Cl)cc1; [None]; [None]; [0]
+COc1ccc(-c2cc(F)c3nc(C)[nH]c3c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(O)cc2F)cc1; [None]; [None]; [0]
+COc1ccc(-c2cn[nH]c2Cl)cc1; [None]; [None]; [0]
+COc1ccc(-c2cc(F)ccc2OC)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(Cl)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(Br)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(F)cc1Cl', 'CCO[Si](OCC)(OCC)c1ccc(OC)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B(O)O)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(F)c(C(=O)O)c1', 'COc1ccc(C(=O)O)cc1', 'COc1ccc(C(=O)[O-])cc1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(B(O)O)cc1', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(Br)cc1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(Cl)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(Cl)cc1', 'COc1ccc(F)cc1', 'COc1ccc(F)cc1F', 'COc1ccc(Br)cc1', 'COc1ccc(F)cc1', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1OC', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1', 'CCO[Si](OCC)(OCC)c1ccc(OC)cc1', 'COc1ccc(F)cc1', 'COc1ccc(C(=O)[O-])cc1', 'COc1ccc(F)cc1N', 'COc1ccc(F)cc1', 'COc1ccc(F)cc1SC', 'COc1ccc(Br)cc1', 'COc1ccc(F)cc1', 'CCO[Si](OCC)(OCC)c1ccc(OC)cc1', 'COc1ccc(C(=O)O)cc1', 'COc1ccc(F)cc1F', 'COc1ccc(Cl)cc1', 'COc1ccc(F)cc1']; ['COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Cl', 'COc1ccc(I)cc1', 'COc1ccc([Zn]I)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(I)cc1', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Cl', 'COc1ccc([Mg]Br)cc1', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Cl', 'COc1ccc(OC)cc1', 'COc1ccc(I)cc1', 'COc1ccccc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(I)cc1', 'COc1ccc([Si](OC)(OC)OC)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(I)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1C(=O)O', 'COc1ccc([Si](C)(C)[O-])cc1', 'COc1ccc(F)cc1F', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(N)cc1', 'COc1ccc(OS(C)(=O)=O)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(NN)cc1', 'COc1ccc(OS(=O)(=O)c2ccc(C)cc2)cc1', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1', 'COc1ccc(F)cc1OC', 'COc1ccc(F)cc1S(=O)(=O)Cl', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1N', 'COc1ccc(I)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccccc1', 'COc1ccc(F)cc1O', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc(O)cc1', 'COc1ccc(F)cc1C(=O)O', 'COc1ccc(S(=O)(=O)Cl)cc1', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1F', 'COc1ccc(OC)cc1', 'COc1ccc(F)cc1C(=O)O', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(F)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccccc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc([Si](OC)(OC)OC)cc1', 'COc1ccc([N+]#N)cc1', 'COc1ccc(F)cc1Cl', 'COc1ccc(I)cc1', 'COc1ccc(F)cc1Cl', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc([Si](C)(C)C)cc1', 'COc1ccc([Zn]I)cc1', 'COc1ccc(F)cc1OC', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc(F)cc1', 'COc1ccc(F)cc1Cl', 'COc1ccccc1', 'COc1ccc(F)cc1', 'COc1ccc(NN)cc1']; [0.999999463558197, 0.9999908208847046, 0.9999878406524658, 0.9999818205833435, 0.9999812245368958, 0.9999659061431885, 0.9999449849128723, 0.9999145269393921, 0.9999029636383057, 0.999894380569458, 0.9998681545257568, 0.9998669624328613, 0.9998090863227844, 0.999799370765686, 0.9997259974479675, 0.9996383190155029, 0.9996284246444702, 0.9994407892227173, 0.9994194507598877, 0.9993758201599121, 0.9993656277656555, 0.999360978603363, 0.999356210231781, 0.9993256330490112, 0.9992657899856567, 0.999214231967926, 0.9992116093635559, 0.9991898536682129, 0.9991028308868408, 0.9990668296813965, 0.9990437030792236, 0.9990248680114746, 0.9989616274833679, 0.9985448718070984, 0.9985349178314209, 0.9980894327163696, 0.9980441927909851, 0.9980295300483704, 0.9976654648780823, 0.9976193904876709, 0.9975572824478149, 0.9972336292266846, 0.9971760511398315, 0.9970642328262329, 0.996942400932312, 0.9968827962875366, 0.9960962533950806, 0.9953644275665283, 0.9948378801345825, 0.9933761358261108, 0.993270993232727, 0.9921174049377441, 0.9905749559402466, 0.9904260635375977, 0.9886108636856079, 0.9883532524108887, 0.9871872663497925, 0.9870853424072266, 0.9859488010406494, 0.9851586818695068, 0.9842679500579834, 0.983344316482544, 0.9738609790802002, 0.9729140996932983, 0.9718410968780518, 0.9692153930664062, 0.9622411727905273, 0.958019495010376, 0.9516960978507996, 0.9459309577941895, 0.9440053105354309, 0.9388442635536194, 0.9101966023445129, 0.9060657024383545, 0.893713116645813, 0.8748427629470825, 0.8430982828140259, 0.8335415720939636, 0.8228136301040649, 0.7865943312644958]
+COC(=O)c1ccc(-c2ccc(OC)cc2)o1; ['COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccco1', 'COc1ccc(-c2ccc(C(=O)O)o2)cc1', 'COC(=O)c1ccco1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccc(Br)o1', 'COS(=O)(=O)OC', 'CO', 'COC(=O)c1ccc(Br)o1', 'CI', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1', 'CC(=O)Cl', None, 'COC(=O)c1ccco1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(I)cc1', 'C[Si](C)(C)C=[N+]=[N-]', 'COc1ccc(Cl)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(N)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(-c2ccc(C(=O)O)o2)cc1', 'COc1ccc(-c2ccc(C(=O)O)o2)cc1', 'COc1ccccc1', 'COc1ccc(-c2ccc(C(=O)O)o2)cc1', 'COc1ccc(C(=O)O)cc1', 'COc1ccccc1', 'COc1ccc(-c2ccc(C(=O)O)o2)cc1', None, 'COc1ccc([N+]#N)cc1']; [0.9999958276748657, 0.9998667240142822, 0.9997899532318115, 0.9991788864135742, 0.9988459348678589, 0.9986860156059265, 0.9985878467559814, 0.9973864555358887, 0.994432806968689, 0.9911594390869141, 0.989804744720459, 0.9888980388641357, 0.9879945516586304, 0.9840851426124573, 0.9833366870880127, 0.9815233945846558, 0.9801508784294128, 0.9566828012466431, 0, 0.9415119290351868]
+COc1ccc(-c2ccc(C(=O)[O-])cc2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1']; ['O=C([O-])c1ccc(Cl)cc1', 'O=C([O-])c1ccccc1', 'O=C([O-])c1ccc(Cl)cc1']; [0.9997190237045288, 0.9977790117263794, 0.9317299127578735]
+COc1ccc(CCc2ccc(O)c(OC)c2)cc1; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O']; ['COc1ccc(CC[Mg]Br)cc1', 'COc1ccc(CCBr)cc1']; [0.9552675485610962, 0.8535668849945068]
+COc1ccc(-c2ccc(F)cc2OC)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(-c3ccc(O)cc3O)cc2)cc1; [None]; [None]; [0]
+COc1ccc(-c2cn(C)c3ccccc23)cc1; ['COc1ccc(Br)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(N)cc1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9999393224716187, 0.9974549412727356, 0.9861667156219482, 0.9708417057991028, 0.9683911800384521, 0.8041003942489624]
+COc1ccc(-c2ccc(O)c(OC)c2)cc1; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(B(O)O)ccc1O[Si](C)(C)C(C)(C)C', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'C=CCOc1ccc(Br)cc1OC', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(I)ccc1O']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Br)cc1', 'COc1ccc([B-](F)(F)F)cc1', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1ccc([Si](OC)(OC)OC)cc1', 'COc1ccc(N)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccccc1', 'COc1ccc(Cl)cc1', 'COc1ccc(Br)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(I)cc1']; [0.9999920129776001, 0.9999791383743286, 0.9999531507492065, 0.9999518394470215, 0.9999465942382812, 0.9999369978904724, 0.9998447299003601, 0.9998282194137573, 0.9998060464859009, 0.9995267391204834, 0.9994142055511475, 0.9992697834968567, 0.9992062449455261, 0.9985179305076599, 0.9983247518539429, 0.9983059167861938, 0.9976810812950134, 0.9973242282867432, 0.9969820976257324, 0.9967659711837769, 0.9960278272628784, 0.9918211102485657, 0.9912235736846924, 0.9859119653701782, 0.9846336841583252, 0.9794198274612427, 0.9760900735855103, 0.9630745649337769, 0.9453144073486328, 0.9151020646095276, 0.8901321887969971]
+COc1ccc(-c2ccc(O)c(F)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(N)cc1', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc(I)cc1', 'COc1ccc([Si](OC)(OC)OC)cc1', 'COc1ccc(Br)cc1', None, 'COc1ccc([Mg]Br)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc([Mg]Br)cc1', 'CI']; ['Oc1ccc(Br)cc1F', 'Oc1ccc(I)cc1F', 'Oc1ccc(Br)cc1F', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'Oc1ccc(Cl)cc1F', 'COc1ccc(Cl)cc1', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(I)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F', 'Nc1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F', 'Oc1ccc(Br)cc1F', 'Oc1ccc(Cl)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(I)cc1F', 'Oc1ccc(Br)cc1F', 'Oc1ccc(Br)cc1F', 'Oc1ccc(I)cc1F', None, 'Oc1ccc(Br)cc1F', 'Oc1ccc(Br)cc1F', 'Oc1ccc(Cl)cc1F', 'Oc1ccc(-c2ccc(O)c(F)c2)cc1']; [0.9999850988388062, 0.9999518394470215, 0.9998903274536133, 0.9998807311058044, 0.9998726844787598, 0.9998494386672974, 0.9998064041137695, 0.9992632865905762, 0.9989820718765259, 0.9989610910415649, 0.9980381727218628, 0.9957752227783203, 0.9945734143257141, 0.9936542510986328, 0.992340624332428, 0.9917551279067993, 0.9906559586524963, 0.9899265766143799, 0.9892374873161316, 0.9837648868560791, 0.9765520691871643, 0.9721510410308838, 0.9660991430282593, 0, 0.9146276712417603, 0.8955085873603821, 0.8455817103385925, 0.7668761014938354]
+COc1ccc(-c2cccc(Br)c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(O)cc2O)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc(OC)cc2)c1; [None]; [None]; [0]
+COc1ccc(-c2cnn3ncccc23)cc1; ['Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccccc1']; [0.9999960660934448, 0.9999368190765381, 0.9999046325683594, 0.9998935461044312, 0.9742369651794434]
+COc1ccc(-c2c[nH]c3cnccc23)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccnc(N)c2)cc1; [None]; [None]; [0]
+COc1ccc(COc2ccccc2Cl)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(F)c(Cl)c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2[nH]cnc2-c2ccc(F)cc2)cc1; [None]; [None]; [0]
+COc1ccc(-c2c(C)ccc3[nH]ncc23)cc1; [None]; [None]; [0]
+COc1ccc(-c2cc(O)ccc2Cl)cc1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c(C(N)=O)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B(O)O)cc1']; ['NC(=O)c1cc(Br)c[nH]1', 'NC(=O)c1cc(Br)c[nH]1', 'NC(=O)c1cc(Br)c[nH]1']; [0.9999001622200012, 0.9976245760917664, 0.9948666095733643]
+COc1ccc(-c2cnc(O)c(Cl)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(Br)cc1']; ['Oc1ncc(I)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'Oc1ncc(I)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Cl)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Br)cc1Cl']; [0.9999979734420776, 0.9999969005584717, 0.9999926090240479, 0.999985933303833, 0.9999833106994629, 0.999717116355896, 0.9934179782867432, 0.9885435700416565, 0.935340166091919]
+COc1ccc(-c2cc(CO)ccc2C)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc3nc(C)[nH]c3c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc([Mg]Br)cc1']; ['Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1']; [0.9999971389770508, 0.9999916553497314, 0.9999902248382568, 0.9999693036079407, 0.999947726726532, 0.9998776316642761, 0.9995114803314209, 0.9957749247550964]
+COc1ccc(-c2cc(OC)cc(OC)c2)cc1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc(OC)cc3)ccc12; [None]; [None]; [0]
+COc1ccc(-c2ccc(OC)c(OC)c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2cnc3[nH]ccc3c2)cc1; ['Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'Brc1cnc2[nH]ccc2c1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(Br)cc1', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'Ic1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Cl)cc1', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'COc1ccc(B(O)O)cc1', 'Clc1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1']; [0.9999996423721313, 0.9999984502792358, 0.9999976754188538, 0.999996542930603, 0.999985933303833, 0.9999849796295166, 0.9999595880508423, 0.9999502897262573, 0.9999433159828186, 0.9998956918716431, 0.9998194575309753, 0.9994336366653442, 0.9994016289710999, 0.9992537498474121, 0.9991167783737183, 0.9645313024520874]
+CCOc1cccc(-c2ccc(OC)cc2)c1; [None]; [None]; [0]
+COc1ccc(CCc2cc(OC)cc(OC)c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(NC(N)=O)cc2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(S(C)(=O)=O)cc2)cc1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(OC)cc2)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'CNC(=N)N', 'CNc1nccc(Cl)n1', 'CN', None, 'COS(=O)(=O)C(F)(F)F', 'CN', 'CI']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(C(=O)C=CN(C)C)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(-c2ccnc(Cl)n2)cc1', None, 'COc1ccc(-c2ccnc(N)n2)cc1', 'COc1ccc(-c2ccnc(SC)n2)cc1', 'COc1ccc(-c2ccnc(N)n2)cc1']; [0.9999403953552246, 0.9999391436576843, 0.9998400211334229, 0.9993001222610474, 0.9939039349555969, 0, 0.9830544590950012, 0.9212546348571777, 0.8455371856689453]
+COc1ccc(-c2cncc(O)c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(c2)CC(=O)N3)cc1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc(OC)cc1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc(OC)cc1; [None]; [None]; [0]
+COc1ccc([C@H](C)CC(N)=O)cc1; [None]; [None]; [0]
+COc1ccc(-c2cc(C(F)F)n[nH]2)cc1; [None]; [None]; [0]
+COc1ccc(N(C)c2ccc3c(C)n[nH]c3c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2[nH]nc(C)c2C)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(O)cc2C)cc1; [None]; [None]; [0]
+COc1ccc(N(C)c2cccc(Cl)c2)cc1; [None]; [None]; [0]
+CNc1nc(-c2ccc(OC)cc2)ncc1F; ['CNc1nc(Cl)ncc1F', 'CNc1nc(Cl)ncc1F']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1']; [0.9999934434890747, 0.9999597668647766]
+COc1ccc(-c2ccncc2Cl)cc1; [None]; [None]; [0]
+COc1ccc(-c2cc(O)n3nccc3n2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(c2)CCN3)cc1; ['Brc1ccc2c(c1)CCN2', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'COc1ccc(B(O)O)cc1', 'Brc1ccc2c(c1)CCN2', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'Brc1ccc2c(c1)CCN2']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'Ic1ccc2c(c1)CCN2', 'COc1ccc(B(O)O)cc1', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'COc1ccc(Br)cc1']; [0.9999774694442749, 0.999975323677063, 0.9995967149734497, 0.9994295835494995, 0.9993078708648682, 0.9992080330848694, 0.9963558912277222, 0.8472009897232056]
+CCc1sccc1-c1ccc(OC)cc1; [None]; [None]; [0]
+COc1ccc(-c2cc(Cl)c(O)c(Cl)c2)cc1; [None]; [None]; [0]
+COc1ccc(Nc2ccncc2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccncc2)OC1(C)C', 'COc1ccc(B(O)O)cc1', 'COc1ccc(N)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(OS(=O)(=O)c2ccc(C)cc2)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(F)cc1', 'COc1ccc(N)cc1', 'Brc1ccncc1', 'COc1ccc(OS(C)(=O)=O)cc1', 'COc1ccc(N)cc1', 'COc1ccc(O)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(I)cc1', 'COc1ccc(N)cc1']; ['Nc1ccncc1', 'COc1ccc(N)cc1', 'Nc1ccncc1', 'OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Clc1ccncc1', 'COc1ccc(N)cc1', 'Nc1ccncc1', 'Fc1ccncc1', 'Nc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Ic1ccncc1', 'Nc1ccncc1', 'Oc1ccncc1']; [0.9998964071273804, 0.9996877908706665, 0.9988373517990112, 0.9963918924331665, 0.9926800727844238, 0.9906151294708252, 0.9842642545700073, 0.9829869270324707, 0.9785290956497192, 0.9748197197914124, 0.9577215313911438, 0.9446184635162354, 0.9353829026222229, 0.9198563098907471, 0.9065384268760681, 0.8912796974182129, 0.8616834878921509, 0.8031811714172363]
+COc1ccc(-c2cc(C(=O)[O-])c(C)o2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc3[nH]c(=O)[nH]c3c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Cl)cc1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Br)cc1']; ['O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'COc1ccc(Cl)cc1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1']; [0.9999719858169556, 0.9999586939811707, 0.999953031539917, 0.9999498128890991, 0.9999072551727295, 0.9999017715454102, 0.9998955726623535, 0.9998580813407898, 0.9998475313186646, 0.9998390674591064, 0.9998023509979248, 0.9997592568397522, 0.9996885061264038, 0.9992547631263733, 0.9977697134017944, 0.990992546081543, 0.9867510795593262, 0.8958446979522705]
+COc1ccc(N(C)c2cccc3[nH]ncc23)cc1; ['CNc1ccc(OC)cc1', 'Brc1cccc2[nH]ncc12', 'CNc1ccc(OC)cc1', 'CNc1cccc2[nH]ncc12', 'CNc1cccc2[nH]ncc12']; ['Ic1cccc2[nH]ncc12', 'CNc1ccc(OC)cc1', 'Fc1cccc2[nH]ncc12', 'COc1ccc(F)cc1', 'COc1ccc(I)cc1']; [0.9979289174079895, 0.9962294101715088, 0.9900904893875122, 0.8880093693733215, 0.8691361546516418]
+CNC(=O)c1ccc(-c2ccc(OC)cc2)cc1; ['CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC=O', 'CN', None, 'CNC=O', 'CCOC(=O)c1ccc(-c2ccc(OC)cc2)cc1', 'CNC(=O)c1ccccc1', 'CNC(=O)c1ccc(Br)cc1', 'CN', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'COc1ccccc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(-c2ccc(Br)cc2)cc1', 'COc1ccc(-c2ccc(C(=O)O)cc2)cc1', None, 'COc1ccc(-c2ccc(C(=O)O)cc2)cc1', 'CN', 'COc1ccc(B(O)O)cc1', 'COc1ccc([Mg]Br)cc1', 'COC(=O)c1ccc(-c2ccc(OC)cc2)cc1', 'COc1ccccc1', 'COc1ccccc1']; [0.9999752640724182, 0.9999752640724182, 0.9999661445617676, 0.9999626874923706, 0.9999626874923706, 0.9999215006828308, 0.9999215006828308, 0.9998986721038818, 0.9998986721038818, 0.9996445178985596, 0.9995644688606262, 0.9995644688606262, 0.9994631409645081, 0.9994631409645081, 0.9994134902954102, 0.9975971579551697, 0.9916160702705383, 0.9916160702705383, 0.9902402758598328, 0.988113522529602, 0, 0.9663994312286377, 0.9630242586135864, 0.9518896341323853, 0.9240060448646545, 0.870646595954895, 0.8559483289718628, 0.7519769668579102]
+COc1ccc(-c2[nH]nc3ccc(F)cc23)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(I)cc1']; ['Fc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; [0.9997892379760742, 0.9996541142463684, 0.9963642358779907, 0.9913163781166077]
+COc1ccc(-c2ccc(Br)cc2F)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(C(N)=O)c(C)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', None, 'COc1ccc(Br)cc1']; ['Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', None, 'Cc1cc(Br)ccc1C(N)=O']; [0.9999967217445374, 0.9999953508377075, 0.9999914169311523, 0.9999902844429016, 0.9999854564666748, 0.9999490976333618, 0.9999330043792725, 0, 0.9093465805053711]
+COc1ccc(-c2c(N)cnn2C)cc1; [None]; [None]; [0]
+COc1ccc(-c2cc(O)cc(Br)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)[Si](C)(C)Oc1cc(Br)cc(B(O)O)c1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'COc1ccc(I)cc1', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'COc1ccc(Br)cc1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(I)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(I)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'CI', 'COS(=O)(=O)OC', 'COc1ccc([Mg]Br)cc1']; ['Oc1cc(Br)cc(I)c1', 'COc1ccc(Br)cc1', 'Oc1cc(Br)cc(I)c1', 'Oc1cc(Cl)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'COc1ccc(I)cc1', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'O=C(O)c1ccc(Br)cc1O', 'Oc1cc(Cl)cc(Br)c1', 'COc1ccc(Br)cc1', 'OB(O)c1cc(O)cc(Br)c1', 'COc1ccc(Cl)cc1', 'Oc1cc(F)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'O=C(O)c1ccc(O)cc1Br', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Cl)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'O=Cc1ccc(Br)cc1O', 'Oc1ccc(-c2cc(O)cc(Br)c2)cc1', 'Oc1ccc(-c2cc(O)cc(Br)c2)cc1', 'Oc1cc(Br)cc(Br)c1']; [0.9999959468841553, 0.9997698664665222, 0.9997692704200745, 0.9997676610946655, 0.9996859431266785, 0.9996496438980103, 0.9996103048324585, 0.998915433883667, 0.9987139701843262, 0.9974789619445801, 0.9968226552009583, 0.99317467212677, 0.9873995780944824, 0.9866197109222412, 0.9849835634231567, 0.9805461764335632, 0.9767080545425415, 0.9623212218284607, 0.9607652425765991, 0.9535544514656067, 0.9517183303833008, 0.9407844543457031, 0.9312960505485535, 0.9286617040634155, 0.9044584631919861, 0.7655506134033203, 0.7562589645385742]
+COc1ccc(-c2ccc(C(=O)NC3CC3)cc2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', None, 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', None, 'COc1ccc(-c2ccc(C(=O)O)cc2)cc1', 'COc1ccc(Cl)cc1', 'CCOC(=O)c1ccc(-c2ccc(OC)cc2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc([Zn]I)cc1', 'COC(=O)c1ccc(-c2ccc(OC)cc2)cc1', 'COc1ccc([Mg]Br)cc1', 'CC(C)(C)OC(=O)NC1CC1', 'COc1ccc(Br)cc1', 'COc1ccccc1', 'COc1ccccc1']; ['O=C(NC1CC1)c1ccc(Br)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', None, 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', None, 'NC1CC1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'NC1CC1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'NC1CC1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'COc1ccc(-c2ccc(C(=O)O)cc2)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999951124191284, 0.9999951124191284, 0.999992311000824, 0.999992311000824, 0.9999707937240601, 0.9999707937240601, 0, 0.9999179840087891, 0.9999179840087891, 0.9999128580093384, 0.9999011754989624, 0, 0.99983811378479, 0.9997193813323975, 0.9994218349456787, 0.9993162155151367, 0.9992296695709229, 0.9992296695709229, 0.9984017610549927, 0.9983681440353394, 0.9707006216049194, 0.9664944410324097, 0.9345051050186157, 0.9343961477279663, 0.9331350326538086]
+COc1ccc(-c2ccc3nc(C)oc3c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc(I)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(Br)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccccc1']; ['Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Cl)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Cl)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Cl)cc2o1', 'COc1ccc2nc(C)oc2c1', 'Cc1nc2ccc(Br)cc2o1']; [0.9999940395355225, 0.9999909400939941, 0.9999902248382568, 0.9999786615371704, 0.9999767541885376, 0.9999716877937317, 0.9999675154685974, 0.9999656677246094, 0.9999634027481079, 0.9999603629112244, 0.9998847246170044, 0.9998265504837036, 0.9995461702346802, 0.9993287920951843, 0.995551347732544, 0.9862079620361328, 0.9777684211730957, 0.962990403175354, 0.8899226188659668]
+COc1ccc(-c2cc(C)c(O)c(C)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccc(N)cc1', 'COc1cccc(Cl)c1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(Br)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc([Si](OC)(OC)OC)cc1', 'COc1ccc([Mg]Br)cc1', 'CCO[Si](OCC)(OCC)c1ccc(OC)cc1', 'COc1ccc(NN)cc1', 'COc1ccc([N+]#N)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc([B-](F)(F)F)cc1', 'COc1ccccc1', 'COc1ccc(Cl)cc1']; ['Cc1cc(Br)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(N)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cccc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cccc(C)c1O', 'Cc1cc(F)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cccc(C)c1O', 'Cc1cccc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cccc(C)c1O']; [0.9999698996543884, 0.9999581575393677, 0.9999215602874756, 0.9996505975723267, 0.9995765686035156, 0.9995009899139404, 0.9992669224739075, 0.9991582632064819, 0.9985503554344177, 0.9970601797103882, 0.9956474304199219, 0.9924664497375488, 0.9778338670730591, 0.9770441651344299, 0.9750839471817017, 0.9745229482650757, 0.9741920232772827, 0.9729483127593994, 0.9472157955169678, 0.9368555545806885, 0.9360564351081848, 0.9294301271438599, 0.9170249104499817, 0.9051215648651123, 0.9009690284729004, 0.8956172466278076, 0.8827622532844543, 0.8800387382507324, 0.8649401068687439, 0.857162356376648, 0.8360306024551392, 0.8070167303085327, 0.7823995351791382, 0.7595680952072144]
+COc1ccc(-c2ocnc2-c2ccc(F)cc2)cc1; [None]; [None]; [0]
+COc1ccc(-c2cc(F)c(O)c(F)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(Cl)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(Br)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc([N+]#N)cc1']; ['Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(I)cc1F', 'COc1ccc(Br)cc1', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(Br)cc1F', 'COc1ccc(I)cc1', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Cl)cc1F', 'Oc1c(F)cc(Br)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(Cl)cc1F', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cccc1F', 'Oc1c(F)cccc1F', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cccc1F', 'Oc1c(F)cccc1F', 'Oc1c(F)cc(F)cc1F', 'Oc1c(F)cccc1F']; [0.9999788403511047, 0.9999502897262573, 0.9996599555015564, 0.9995898008346558, 0.9995256066322327, 0.9994494915008545, 0.998273491859436, 0.9981515407562256, 0.9958074688911438, 0.9953913688659668, 0.9949928522109985, 0.9939379096031189, 0.9915133714675903, 0.9897779226303101, 0.9878474473953247, 0.9821557998657227, 0.9750507473945618, 0.9148058891296387, 0.9122934341430664, 0.8970279693603516, 0.8943423628807068, 0.8666678667068481, 0.7947330474853516, 0.7748836874961853]
+COc1ccc(-c2ccc3c(=O)[nH][nH]c3c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'COc1ccc(Br)cc1', 'COc1ccccc1']; ['O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12']; [0.9999957084655762, 0.9999771118164062, 0.9996472597122192, 0.9935134649276733, 0.965839147567749, 0.9023259282112122]
+COc1ccc(-c2cccc(SC)c2)cc1; [None]; [None]; [0]
+COc1ccc(CCc2c[nH]c3ccccc23)cc1; ['Brc1c[nH]c2ccccc12', 'COc1ccc(CC[Zn]Br)cc1', 'COc1ccc(CCO)cc1', 'Brc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'COc1ccc(CCCl)cc1', 'Brc1c[nH]c2ccccc12']; ['COc1ccc(CC[Zn]Br)cc1', 'Ic1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'COc1ccc(CCBr)cc1', 'COc1ccc(CC[Mg]Cl)cc1', 'c1ccc2[nH]ccc2c1', 'COc1ccc(CC[Mg]Br)cc1']; [0.9972745180130005, 0.9969662427902222, 0.9340035915374756, 0.870392918586731, 0.8689167499542236, 0.8673300743103027, 0.7714186906814575]
+COc1ccc(OCc2cccc3ccccc23)cc1; ['COc1ccc(OS(=O)(=O)C(F)(F)F)c([Si](C)(C)C)c1', 'COc1ccc(O)cc1', 'BrCc1cccc2ccccc12', None, 'COc1ccc(OC)cc1', 'COc1ccc(O)cc1', None, 'COc1ccc(Cl)cc1', 'COc1ccc(F)cc1']; ['OCc1cccc2ccccc12', 'ClCc1cccc2ccccc12', 'COc1ccc(O)cc1', None, 'ClCc1cccc2ccccc12', 'OCc1cccc2ccccc12', None, 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0.9997873306274414, 0.9981689453125, 0.9969335794448853, 0, 0.9934887886047363, 0.98697429895401, 0, 0.8897736072540283, 0.8895093202590942]
+COc1ccc(NCc2c(F)cccc2Cl)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(N)cc1', 'COc1ccc([N+](=O)[O-])cc1', 'COc1ccc(F)cc1', 'COc1ccc(N)cc1']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CBr', 'Fc1cccc(Cl)c1CCl', 'NCc1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'OCc1c(F)cccc1Cl']; [0.9999079704284668, 0.9999074935913086, 0.9998759031295776, 0.9998639822006226, 0.999830961227417, 0.9992235898971558, 0.9991477727890015, 0.9979289770126343, 0.9978348016738892, 0.9954462647438049, 0.9933898448944092]
+COc1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)cc1; ['COc1ccc(B(O)O)cc1', 'COc1ccc(-c2cn[nH]c2)cc1', 'COc1ccc([B-](F)(F)F)cc1']; ['Clc1ccc(-c2ccn[nH]2)cc1', 'OB(O)c1ccc(Cl)cc1', 'Clc1ccc(-c2ccn[nH]2)cc1']; [0.949547290802002, 0.8795239329338074, 0.7568012475967407]
+COc1ccc(Oc2ccc(F)cc2F)cc1; [None]; [None]; [0]
+COc1ccc(-c2c(-c3ccccc3)noc2C)cc1; [None]; [None]; [0]
+COc1ccc(OCc2ccc(F)cc2F)cc1; [None]; [None]; [0]
+COc1ccc(CCc2ccc(F)cc2F)cc1; [None]; [None]; [0]
+COc1cc(-c2cccc3ncccc23)ccc1Cl; ['Brc1cccc2ncccc12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cccc2ncccc12', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Brc1cccc2ncccc12', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'Brc1cccc2ncccc12', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1ccccc1Cl']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Ic1cccc2ncccc12', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'OB(O)c1cccc2ncccc12', 'Clc1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'COc1cc(B(O)O)ccc1Cl', 'Ic1cccc2ncccc12', 'Ic1cccc2ncccc12', 'COc1cc(Cl)ccc1Cl', 'Clc1cccc2ncccc12', 'COc1cc(Br)ccc1Cl', 'OCc1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12']; [1.0, 0.9999997615814209, 0.9999997615814209, 0.9999997615814209, 0.9999964237213135, 0.9999955892562866, 0.9999953508377075, 0.9999945163726807, 0.9999908208847046, 0.9999729990959167, 0.9999345541000366, 0.999850869178772, 0.999843418598175, 0.9994940161705017, 0.9924145340919495, 0.980276346206665, 0.8827515840530396]
+COc1cc(-c2cccc(O)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'C=CCOc1cccc(B(O)O)c1', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1ccc(C(=O)O)cc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1c(Cl)cccc1C=O', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1ccccc1Cl', 'COc1c(Cl)cccc1C(=O)O']; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'COc1cc(Cl)ccc1Cl', 'OB(O)c1cccc(O)c1', 'Nc1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1', 'Oc1cccc([B-](F)(F)F)c1', 'Oc1cccc([B-](F)(F)F)c1', 'COc1cc(Br)ccc1Cl', 'Oc1cccc(Cl)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(F)c1', 'Oc1cccc(Cl)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1', 'O=C(O)c1ccc(O)cc1', 'O=C(O)c1ccccc1O', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1']; [0.9999977350234985, 0.9999972581863403, 0.9999935626983643, 0.999990701675415, 0.9999614357948303, 0.9999442100524902, 0.9999352693557739, 0.9999035596847534, 0.9998615980148315, 0.999809980392456, 0.9997398853302002, 0.9996604919433594, 0.9993393421173096, 0.9993338584899902, 0.9990001320838928, 0.9988783001899719, 0.9980990886688232, 0.9980504512786865, 0.9946616888046265, 0.9917989373207092, 0.9719918966293335, 0.9566826820373535, 0.9561036825180054, 0.9539685249328613, 0.94838547706604, 0.938003420829773, 0.9214019775390625, 0.9089967012405396, 0.8756332993507385, 0.8083249926567078, 0.7930447459220886, 0.7891309261322021]
+CNS(=O)(=O)c1ccc(-c2ccc(Cl)c(OC)c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; [0.9999978542327881, 0.9999967813491821, 0.9999915361404419, 0.9999707341194153, 0.9999290108680725, 0.99992835521698, 0.9997910261154175, 0.9994305372238159, 0.9956022500991821, 0.9952012300491333, 0.9873070120811462]
+COc1cc(-c2n[nH]c3ccccc23)ccc1Cl; ['CC(C)(C)OC(=O)n1nc(I)c2ccccc21', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'Brc1n[nH]c2ccccc12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'Brc1n[nH]c2ccccc12', 'COc1cc(B(O)O)ccc1Cl', 'Brc1n[nH]c2ccccc12']; ['COc1cc(B(O)O)ccc1Cl', 'Ic1n[nH]c2ccccc12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'Clc1n[nH]c2ccccc12', 'Ic1n[nH]c2ccccc12', 'COc1cc(B(O)O)ccc1Cl', 'Clc1n[nH]c2ccccc12', 'COc1cc(Br)ccc1Cl']; [0.9999991655349731, 0.9999967813491821, 0.9999960660934448, 0.9999579787254333, 0.9998688697814941, 0.9993407130241394, 0.9974420666694641, 0.9283004403114319]
+COc1cc(-c2ccc(C(N)=O)cc2)ccc1Cl; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.9999997615814209, 0.9999992847442627, 0.9999963641166687, 0.9999954104423523, 0.9999682903289795, 0.9999591112136841, 0.9998525381088257, 0.9992901086807251, 0.9990682601928711, 0.9982872009277344, 0.9903908371925354, 0.9569581747055054, 0.9205971956253052, 0.9200634956359863]
+COc1cc(-c2c(Cl)ccc3c2OCO3)ccc1Cl; [None]; [None]; [0]
+COc1cc(Oc2ccc(F)cc2)ccc1Cl; ['COc1cc(O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(O)ccc1Cl', 'CC(C)(C)[Si](C)(C)Oc1ccc(F)cc1', 'COc1cc(O)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(F)ccc1Cl', None, 'COc1cc(Cl)ccc1Cl', 'COc1cc(O)ccc1Cl']; ['Fc1ccc(Br)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1', 'Fc1ccc(I)cc1', 'Oc1ccc(F)cc1', 'OB(O)c1ccc(F)cc1', 'COc1cc(F)ccc1Cl', 'Fc1ccc(Cl)cc1', 'Fc1ccc(F)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1', None, 'Oc1ccc(F)cc1', 'O=[N+]([O-])c1ccc(F)cc1']; [0.9999861717224121, 0.9999815821647644, 0.9999773502349854, 0.9999403953552246, 0.9997872114181519, 0.9997764825820923, 0.9977751970291138, 0.9970179796218872, 0.9949444532394409, 0.9939702749252319, 0.9861407279968262, 0, 0.9828473329544067, 0.9041107892990112]
+COc1cc(-c2ccc(Cl)c(O)c2)ccc1Cl; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'CC(C)(C)[Si](C)(C)Oc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1ccc(C(=O)O)cc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'OB(O)c1ccc(Cl)c(O)c1', 'COc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'Oc1cc(Br)ccc1Cl', 'OB(O)c1ccc(Cl)c(O)c1', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'Nc1ccc(Cl)c(O)c1', 'Oc1cc(I)ccc1Cl', 'Oc1cc(Cl)ccc1Cl', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'Oc1cc(Br)ccc1Cl', 'O=C(O)c1ccc(O)c(Cl)c1']; [0.9999856948852539, 0.9999817609786987, 0.9999654293060303, 0.9999507665634155, 0.9998419880867004, 0.9995368719100952, 0.999197244644165, 0.9988530874252319, 0.998696506023407, 0.9983418583869934, 0.998306155204773, 0.998210608959198, 0.9964709281921387, 0.9789489507675171, 0.9440369009971619, 0.9337661266326904, 0.8975497484207153, 0.8574094772338867, 0.8151313066482544, 0.7788713574409485]
+COc1cc(-c2ccc(C(N)=O)cc2OC)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['COc1cc(C(N)=O)ccc1Br', 'COc1cc(I)ccc1Cl', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br']; [0.9999916553497314, 0.9999756813049316, 0.9999727010726929, 0.9997891187667847]
+COc1cc(-c2ccc(C(N)=O)cc2F)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'COc1cc(I)ccc1Cl', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(N)ccc1Cl']; ['NC(=O)c1ccc(Br)c(F)c1', 'COc1cc(I)ccc1Cl', 'NC(=O)c1ccc(Br)c(F)c1', 'COc1cc(Br)ccc1Cl', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Cl)c(F)c1', 'COc1cc(Cl)ccc1Cl', 'NC(=O)c1ccc(Cl)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1cccc(F)c1']; [1.0, 0.9999983906745911, 0.9999982714653015, 0.9999979734420776, 0.9999970197677612, 0.999995231628418, 0.9999791383743286, 0.9999750852584839, 0.999850332736969, 0.9997444152832031, 0.9995572566986084, 0.9995483756065369, 0.9987939596176147, 0.9937163591384888, 0.9874184131622314, 0.8983243107795715]
+COc1cc(-c2ccnc(N)n2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1ncccn1', 'Nc1nccc(Cl)n1']; [0.9999997615814209, 0.9999967217445374, 0.9999909400939941, 0.9999510645866394, 0.9997785091400146, 0.9995237588882446]
+COc1cc(-c2c(Cl)cccc2Cl)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2ccc(O)cc2Cl)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl']; ['Oc1ccc(Br)c(Cl)c1', 'COc1cc(I)ccc1Cl', 'Oc1ccc(Br)c(Cl)c1', 'COc1cc(Br)ccc1Cl', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(O)cc1Cl', 'OB(O)c1ccc(O)cc1Cl', 'Nc1ccc(O)cc1Cl', 'Oc1ccc(Cl)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'Oc1ccc(Cl)c(Cl)c1', 'COc1cc(Cl)ccc1Cl', 'Oc1ccc(Br)c(Cl)c1', 'Oc1cccc(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1']; [0.9999937415122986, 0.9999762773513794, 0.9999502897262573, 0.9999470710754395, 0.99991774559021, 0.99983149766922, 0.9997918009757996, 0.9997543096542358, 0.9995035529136658, 0.9991381168365479, 0.9988418817520142, 0.9987987279891968, 0.993679940700531, 0.9805375337600708, 0.9748639464378357, 0.941211998462677, 0.928342878818512, 0.9187459945678711, 0.9141170382499695, 0.914103627204895]
+COc1cc(-c2cc(F)c3nc(C)[nH]c3c2)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2cn[nH]c2Cl)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2ccc(O)cc2F)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2ccc(F)cc2OC)ccc1Cl; ['COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(F)ccc1Br', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(F)ccc1B(O)O', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1I', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(F)ccc1Br', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(F)ccc1B(O)O', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B(O)O', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(F)cc(C(=O)O)c1', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Cl', 'COc1c(Cl)cccc1C(=O)O']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1Br', 'COc1cc(I)ccc1Cl', 'COc1cc(F)ccc1I', 'COc1cc(I)ccc1Cl', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1cc(I)ccc1Cl', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1S(=O)(=O)Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(S(=O)(=O)Cl)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(F)ccc1N', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cccc(F)c1', 'COc1cc(F)ccc1O', 'COc1cc(NN)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cccc(F)c1', 'COc1cccc(F)c1', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(I)ccc1Cl', 'COc1ccc(Cl)c(OC)c1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1ccc(C(=O)O)cc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(F)ccc1I']; [0.9999936819076538, 0.9999926090240479, 0.9999881386756897, 0.9999797344207764, 0.9999281167984009, 0.9998836517333984, 0.9998776316642761, 0.9998704791069031, 0.9998393058776855, 0.9998223781585693, 0.999731719493866, 0.9994562268257141, 0.9992759823799133, 0.9989455938339233, 0.9988608956336975, 0.9983175992965698, 0.9981969594955444, 0.9976881146430969, 0.9967567920684814, 0.996554970741272, 0.9965300559997559, 0.9957304000854492, 0.9954123497009277, 0.9865258932113647, 0.9840964078903198, 0.9824120998382568, 0.9816220998764038, 0.9811400175094604, 0.9706123471260071, 0.969844400882721, 0.9689966440200806, 0.9538088440895081, 0.9502517580986023, 0.9409496784210205, 0.9396712779998779, 0.8922531604766846, 0.8125685453414917, 0.80409836769104]
+COc1cc(-c2cc(F)ccc2OC)ccc1Cl; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc(Cl)c(OC)c2)o1; ['COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; [0.9999991655349731, 0.9999868273735046, 0.9999538660049438, 0.9999397993087769, 0.9997973442077637, 0.999775230884552, 0.999167799949646, 0.9952994585037231, 0.790023148059845]
+COc1cc(-c2ccc(-c3ccc(O)cc3O)cc2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl']; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Oc1ccc(-c2ccccc2)c(O)c1', 'Oc1ccc(-c2ccccc2)c(O)c1', 'Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; [0.9999721050262451, 0.9986476302146912, 0.9871178865432739, 0.8383256196975708, 0.802361011505127, 0.794411301612854, 0.7761698365211487]
+COc1cc(-c2ccc(C(=O)[O-])cc2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl']; ['O=C([O-])c1ccc(Cl)cc1', 'O=C([O-])c1ccccc1']; [0.9997695684432983, 0.9916476607322693]
+COc1cc(CCc2ccc(Cl)c(OC)c2)ccc1O; ['COc1cc(CCBr)ccc1O']; ['COc1cc(I)ccc1Cl']; [0.8942044973373413]
+COc1cc(-c2ccc(Cl)c(OC)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'C=CCOc1ccc(Br)cc1OC', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1Cl', 'COc1cc(N)ccc1O', 'COc1cc(N)ccc1Cl', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1O', 'COc1cc(I)ccc1Cl', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc([B-](F)(F)F)ccc1O', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(I)ccc1O', 'COc1cc([Mg]Br)ccc1Cl', 'COc1ccccc1Cl', 'COc1cc(Cl)ccc1O', 'COc1cc(Cl)ccc1Cl', 'COc1ccccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1Cl', 'COc1ccccc1O', 'COc1ccccc1O']; [0.9999868869781494, 0.9999868869781494, 0.9999398589134216, 0.9999398589134216, 0.9991180896759033, 0.9991180896759033, 0.9987220764160156, 0.9987220764160156, 0.9982694387435913, 0.9982694387435913, 0.9981371164321899, 0.9981371164321899, 0.9924116134643555, 0.9785786867141724, 0.9372966289520264, 0.9280785322189331, 0.9270525574684143, 0.9259885549545288, 0.9119225740432739, 0.9119225740432739, 0.9117277264595032, 0.9080349206924438, 0.8433549404144287, 0.8326200246810913, 0.7574734687805176]
+COc1cc(-c2cccc(Br)c2)ccc1Cl; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'COc1cc(I)ccc1Cl', 'Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1', 'COc1cc(B(O)O)ccc1Cl', 'Brc1cccc(I)c1', 'COc1cc(Br)ccc1Cl', 'Brc1cccc(I)c1', 'Br[Mg]c1cccc(Br)c1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Br[Mg]c1cccc(Br)c1', 'COc1ccccc1Cl']; ['COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'OB(O)c1cccc(Br)c1', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'Clc1cccc(Br)c1', 'COc1cc(Br)ccc1Cl', 'OB(O)c1cccc(Br)c1', 'COc1ccc(C(=O)O)cc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1c(Cl)cccc1C(=O)O', 'COc1cc([Mg]Br)ccc1Cl', 'Fc1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'F[B-](F)(F)c1cccc(Br)c1', 'COc1cc(F)ccc1Cl', 'OB(O)c1cccc(Br)c1']; [0.9999983906745911, 0.999995231628418, 0.9999605417251587, 0.999935507774353, 0.9998384714126587, 0.9998221397399902, 0.9991722106933594, 0.9991507530212402, 0.9969918727874756, 0.9904804229736328, 0.9883943200111389, 0.9863266944885254, 0.9813260436058044, 0.9249338507652283, 0.9246282577514648, 0.9243238568305969, 0.9116195440292358, 0.9030337333679199, 0.8943080306053162, 0.8906692266464233, 0.8153176307678223]
+COc1cc(-c2cn(C)c3ccccc23)ccc1Cl; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(NN)ccc1Cl']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; [0.9999974966049194, 0.9999924898147583, 0.999820351600647, 0.9996083378791809, 0.999350905418396, 0.9929070472717285, 0.8270976543426514]
+COc1cc(-c2ccc3ccccc3c2)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2ccc(O)c(F)c2)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2ccc(O)cc2O)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2c[nH]c3cnccc23)ccc1Cl; ['Brc1c[nH]c2cnccc12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'Brc1c[nH]c2cnccc12', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'Ic1c[nH]c2cnccc12', 'COc1cc(B(O)O)ccc1Cl', 'Ic1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'c1cc2cc[nH]c2cn1']; [0.9999945163726807, 0.999963104724884, 0.9989372491836548, 0.9969319105148315, 0.9870151877403259, 0.9696585536003113, 0.916472852230072]
+COc1cc(-c2cnn3ncccc23)ccc1Cl; ['Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12', 'Brc1cnn2ncccc12']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1ccccc1Cl']; [1.0, 0.9999991655349731, 0.9999983906745911, 0.999991774559021, 0.8783137798309326]
+COc1cc(-c2ccnc(N)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['Nc1cc(Br)ccn1', 'COc1cc(Br)ccc1Cl', 'Nc1cc(I)ccn1', 'Nc1cc(Cl)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Cl)ccn1', 'Nc1cc(B(O)O)ccn1']; [1.0, 0.9999996423721313, 0.9999924302101135, 0.9999910593032837, 0.9999842047691345, 0.9999785423278809, 0.9999650716781616, 0.998895525932312, 0.9762436151504517]
+COC(=O)c1ccc(Cl)c(-c2ccc(Cl)c(OC)c2)c1; [None]; [None]; [0]
+COc1cc(COc2ccccc2Cl)ccc1Cl; ['COc1cc(CBr)ccc1Cl', 'CC(=O)Oc1ccccc1Cl', 'COc1cc(CO)ccc1Cl', 'COc1cc(CO)ccc1Cl', 'COc1cc(CO)ccc1Cl', 'COc1cc(CO)ccc1Cl']; ['Oc1ccccc1Cl', 'COc1cc(CBr)ccc1Cl', 'Clc1ccccc1I', 'Clc1ccccc1Br', 'Fc1ccccc1Cl', 'Oc1ccccc1Cl']; [0.9961340427398682, 0.9892858266830444, 0.9778544902801514, 0.9755405783653259, 0.9742182493209839, 0.9712477922439575]
+COc1cc(-c2c(C)ccc3[nH]ncc23)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br']; [1.0, 0.9999998807907104, 0.9999997019767761, 0.9999996423721313, 0.9999980926513672, 0.9999942779541016, 0.9999492168426514, 0.9998784065246582, 0.9998310804367065, 0.9997291564941406, 0.9982167482376099]
+COc1cc(-c2cnc(O)c(Cl)c2)ccc1Cl; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(I)cc1Cl', 'COc1cc(I)ccc1Cl', 'Oc1ncc(I)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Cl)cc1Cl']; [0.9999998807907104, 0.9999994039535522, 0.9999992251396179, 0.9999986886978149, 0.9999945163726807, 0.9999092817306519, 0.997968316078186, 0.9963967800140381]
+COc1cc(-c2c[nH]c(C(N)=O)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['NC(=O)c1cc(Br)c[nH]1', 'NC(=O)c1cc(Br)c[nH]1']; [0.9999855756759644, 0.9989694952964783]
+COc1cc(-c2[nH]cnc2-c2ccc(F)cc2)ccc1Cl; ['COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Fc1ccc(-c2cnc[nH]2)cc1', 'Fc1ccc(-c2c[nH]cn2)cc1', 'Fc1ccc(-c2c[nH]cn2)cc1', 'Fc1ccc(-c2c[nH]cn2)cc1']; [0.9999145269393921, 0.9998974800109863, 0.9988250136375427, 0.9977257251739502]
+COc1cc(-c2cc(CO)ccc2C)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1ccccc1Cl']; ['Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1']; [0.9999896287918091, 0.9999884366989136, 0.9999817609786987, 0.9999678134918213, 0.9999538660049438, 0.9999414682388306, 0.9997589588165283, 0.9996839761734009, 0.9991356730461121, 0.9989310503005981, 0.9964824914932251, 0.9893962144851685, 0.983279824256897, 0.9816009998321533, 0.9729743599891663, 0.9611395597457886, 0.9005296230316162, 0.8376791477203369]
+COc1cc(-c2ccc(F)c(Cl)c2)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2cc(O)ccc2Cl)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(I)ccc1Cl', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1ccccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1ccc(C(=O)O)cc1Cl', 'COc1c(Cl)cccc1C=O', 'COc1cc([Mg]Br)ccc1Cl']; ['Oc1ccc(Cl)c(Br)c1', 'Oc1ccc(Cl)c(I)c1', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Oc1ccc(Cl)c(Cl)c1', 'OB(O)c1cc(O)ccc1Cl', 'Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(O)ccc1Cl', 'Nc1cc(O)ccc1Cl', 'OB(O)c1cc(O)ccc1Cl', 'Oc1ccc(Cl)c(Br)c1', 'COc1cc(Cl)ccc1Cl', 'Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(Cl)c1', 'Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(I)c1', 'OB(O)c1cc(O)ccc1Cl', 'Oc1ccc(Cl)c(F)c1', 'Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(Br)c1']; [0.9999929666519165, 0.9999765753746033, 0.9999363422393799, 0.9999347925186157, 0.999893069267273, 0.9996936917304993, 0.999660074710846, 0.9992257356643677, 0.9990676641464233, 0.9986965656280518, 0.9952623844146729, 0.9929391145706177, 0.9920674562454224, 0.9911745190620422, 0.9831894636154175, 0.9513275623321533, 0.9434746503829956, 0.8906400203704834, 0.8317407369613647, 0.8277913331985474, 0.771896481513977, 0.7535607814788818]
+COc1cc(OC)cc(-c2ccc(Cl)c(OC)c2)c1; ['COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)cc(OC)c1', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(N)ccc1Cl', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Cl)ccc1Cl']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(I)ccc1Cl', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(I)ccc1Cl', 'COc1cc(O)cc(OC)c1', 'COc1cc(I)ccc1Cl', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Br)ccc1Cl', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1cccc(OC)c1', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cccc(OC)c1', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cccc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Cl)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cccc(OC)c1', 'COc1ccccc1Cl', 'COc1cc(I)cc(OC)c1']; [0.9999997615814209, 0.9999994039535522, 0.999998927116394, 0.9999980330467224, 0.9999974370002747, 0.9999972581863403, 0.9999964237213135, 0.9999951124191284, 0.9999927282333374, 0.9999878406524658, 0.9999842047691345, 0.9999625086784363, 0.9999526739120483, 0.9999432563781738, 0.9998981952667236, 0.9997638463973999, 0.9992188811302185, 0.9991185665130615, 0.9990154504776001, 0.998714804649353, 0.9986953139305115, 0.9985110759735107, 0.9983174800872803, 0.9979110956192017, 0.9973466396331787, 0.9970046281814575, 0.9934083223342896, 0.9888340830802917, 0.9785799980163574, 0.9769392609596252, 0.9643442630767822, 0.8982195258140564, 0.8934446573257446, 0.8394433259963989, 0.8334296941757202, 0.7534995675086975]
+COc1cc(-c2ccc3nc(C)[nH]c3c2)ccc1Cl; ['COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1']; [0.9999994039535522, 0.9999967813491821, 0.9993565082550049, 0.9856926202774048, 0.9213427305221558]
+COc1cc(-c2cnc3[nH]ccc3c2)ccc1Cl; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Brc1cnc2[nH]ccc2c1', 'COc1cc(I)ccc1Cl', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'Ic1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'COc1cc(I)ccc1Cl', 'OB(O)c1cnc2[nH]ccc2c1', 'COc1cc(Cl)ccc1Cl', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Clc1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 1.0, 0.9999998211860657, 0.9999997615814209, 0.9999992251396179, 0.9999986886978149, 0.9999946355819702, 0.9999924898147583, 0.9999898672103882, 0.9999842643737793, 0.9999728798866272, 0.9999237656593323, 0.9998078346252441, 0.9987878203392029, 0.9951145648956299]
+COc1cc(-c2ccc(OC)c(OC)c2)ccc1Cl; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc(Cl)c(OC)c3)ccc12; [None]; [None]; [0]
+CCOc1cccc(-c2ccc(Cl)c(OC)c2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc(Cl)c(OC)c2)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1', 'COc1cc(Br)ccc1Cl', 'COc1cc(CCBr)cc(OC)c1', 'COc1cc(C)cc(OC)c1', 'COc1cc(C)ccc1Cl', 'COc1cc(CCBr)cc(OC)c1']; ['COc1cc(I)ccc1Cl', 'COc1cc(CCBr)cc(OC)c1', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(CBr)ccc1Cl', 'COc1cc(CBr)cc(OC)c1', 'COc1ccccc1Cl']; [0.999292254447937, 0.9971439838409424, 0.9868149757385254, 0.9516235589981079, 0.9411160945892334, 0.8525427579879761]
+COc1cc(-c2cncc(O)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['Oc1cncc(I)c1', 'COc1cc(Br)ccc1Cl', 'Oc1cncc(Br)c1', 'COc1cc(I)ccc1Cl', 'Oc1cncc(I)c1', 'Oc1cncc(I)c1', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'Oc1cncc(Br)c1', 'Oc1cncc(Cl)c1', 'Oc1cncc(Br)c1', 'Oc1cncc(Br)c1', 'OB(O)c1cncc(O)c1']; [0.9999990463256836, 0.9999988079071045, 0.9999980926513672, 0.999996542930603, 0.9999929666519165, 0.9999916553497314, 0.9999154806137085, 0.9999061822891235, 0.9997235536575317, 0.9965486526489258, 0.9921977519989014, 0.988850474357605, 0.8918389081954956]
+COc1cc(-c2ccc(NC(N)=O)cc2)ccc1Cl; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'NC(=O)Nc1ccc(Br)cc1', 'NC(=O)Nc1ccc(Br)cc1', 'NC(=O)Nc1ccc(Cl)cc1', 'COc1cc(Cl)ccc1Cl', 'NC(=O)Nc1ccc(Br)cc1', 'NC(=O)Nc1ccc(Cl)cc1', 'NC(=O)Nc1ccccc1', 'NC(=O)Nc1ccc(Br)cc1']; [0.9999990463256836, 0.9999985694885254, 0.9999958276748657, 0.9999299049377441, 0.9999075531959534, 0.9998244047164917, 0.9994064569473267, 0.9961904287338257, 0.9150123596191406, 0.7907370328903198]
+COc1cc(-c2ccc(S(C)(=O)=O)cc2)ccc1Cl; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(C(=O)O)ccc1Cl', 'COc1cc(O)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'COc1cc(Cl)ccc1Cl', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccccc1', 'CS(=O)(=O)c1ccc(O)cc1', 'CS(=O)(=O)c1ccccc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; [1.0, 1.0, 0.9999994039535522, 0.9999992847442627, 0.9999971389770508, 0.9999920129776001, 0.999991774559021, 0.9999916553497314, 0.9999902248382568, 0.9999895095825195, 0.9999762773513794, 0.9999245405197144, 0.9998806715011597, 0.9992148876190186, 0.999039351940155, 0.9990175366401672, 0.9977633357048035, 0.9971505403518677, 0.948635458946228, 0.9129151701927185, 0.8390504717826843, 0.8342219591140747, 0.811487078666687]
+COc1cc(-c2ccc3c(c2)CC(=O)N3)ccc1Cl; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1c(Cl)cccc1Br', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'O=C1Cc2cc(Br)ccc2N1', 'COc1cc(I)ccc1Cl', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2c(Br)cccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'COc1cc(Cl)ccc1Cl', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2ccc(Br)cc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9999929666519165, 0.9999651908874512, 0.9999563694000244, 0.9999312162399292, 0.9996942281723022, 0.9996889233589172, 0.9996694326400757, 0.9995409846305847, 0.9993184804916382, 0.999289870262146, 0.998679518699646, 0.9982645511627197, 0.9978190660476685, 0.9968587160110474, 0.9965552091598511, 0.9871902465820312, 0.9575725793838501, 0.9414084553718567, 0.8534906506538391]
+CNc1nccc(-c2ccc(Cl)c(OC)c2)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Cl)n1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; [0.9999828338623047, 0.9997373819351196]
+COc1cc(-c2[nH]nc(C)c2C)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['Cc1c[nH]nc1C', 'Cc1c[nH]nc1C']; [0.9999912977218628, 0.9993391036987305]
+CCc1cc(O)c(F)cc1-c1ccc(Cl)c(OC)c1; ['CCc1cc(O)c(F)cc1Br', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1Br', 'CCc1cc(O)c(F)cc1Br', 'CCc1cc(O)c(F)cc1Br']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1ccccc1Cl']; [0.9999997615814209, 0.9999990463256836, 0.999998927116394, 0.9999964237213135, 0.9988598823547363, 0.992107629776001]
+COc1cc(-c2ccc(O)cc2C)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'C=CCOc1ccc(Br)c(C)c1', 'COc1cc(Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1Br', 'Cc1cccc(O)c1', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cccc(O)c1']; [0.9999885559082031, 0.9999792575836182, 0.9999462962150574, 0.9999346733093262, 0.999869167804718, 0.9998670816421509, 0.999852180480957, 0.999833345413208, 0.9995603561401367, 0.9995085000991821, 0.9977359771728516, 0.9970762729644775, 0.995934009552002, 0.9854428768157959, 0.9798415303230286, 0.9607924222946167, 0.9459502100944519, 0.9155576229095459]
+CCc1cc(O)ccc1-c1ccc(Cl)c(OC)c1; ['CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Cl', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Br', 'CCc1cccc(O)c1', 'CCc1cccc(O)c1', 'CCc1cc(O)ccc1Br']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1ccccc1Cl']; [0.9999935626983643, 0.9999874830245972, 0.999974250793457, 0.9999657273292542, 0.9998711347579956, 0.9992095232009888, 0.9904087781906128, 0.968302309513092, 0.9261962175369263, 0.8046874403953552, 0.7980623245239258]
+COc1cc(N(C)c2ccc3c(C)n[nH]c3c2)ccc1Cl; [None]; [None]; [0]
+COc1cc(N(C)c2cccc(Cl)c2)ccc1Cl; ['CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1']; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; [0.9988125562667847, 0.9976319074630737, 0.9828553795814514, 0.8432220220565796]
+COc1cc(-c2cc(C(F)F)n[nH]2)ccc1Cl; [None]; [None]; [0]
+CCc1sccc1-c1ccc(Cl)c(OC)c1; ['CCc1cccs1']; ['COc1cc(I)ccc1Cl']; [0.8953542709350586]
+CNc1nc(-c2ccc(Cl)c(OC)c2)ncc1F; ['CNc1nc(Cl)ncc1F', 'CNc1nc(Cl)ncc1F']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; [0.9999996423721313, 0.9999618530273438]
+COc1cc(-c2ccc3c(c2)CCN3)ccc1Cl; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Brc1ccc2c(c1)CCN2', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'Brc1ccc2c(c1)CCN2', 'COc1cc(Br)ccc1Cl', 'Brc1ccc2c(c1)CCN2', 'COc1cc(I)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'OB(O)c1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2', 'COc1cc(B(O)O)ccc1Cl', 'OB(O)c1ccc2c(c1)CCN2', 'COc1cc(Br)ccc1Cl', 'c1ccc2c(c1)CCN2']; [0.9999998807907104, 0.9999996423721313, 0.9999351501464844, 0.9997915029525757, 0.9996254444122314, 0.9994158744812012, 0.9876203536987305, 0.9439929127693176]
+COc1cc([C@H](C)CC(N)=O)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2ccncc2Cl)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'CC1(C)COB(c2ccncc2Cl)OC1', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1ccccc1Cl']; ['Clc1cnccc1Br', 'Clc1cnccc1I', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Clc1cnccc1I', 'Clc1ccncc1Cl', 'OB(O)c1ccncc1Cl', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1I', 'Clc1cnccc1Br', 'COc1cc(I)ccc1Cl', 'Clc1ccncc1Cl', 'Clc1cnccc1Br', 'OB(O)c1ccncc1Cl', 'Clc1ccncc1Cl', 'Clc1cccnc1', 'Clc1cccnc1', 'Clc1cccnc1', 'OB(O)c1ccncc1Cl']; [0.9999994039535522, 0.9999991655349731, 0.9999972581863403, 0.999997079372406, 0.9999957084655762, 0.9999935626983643, 0.9999790787696838, 0.9999774694442749, 0.9999672174453735, 0.9999419450759888, 0.9998876452445984, 0.9997655153274536, 0.9973573684692383, 0.9676368236541748, 0.9619336128234863, 0.9447184801101685, 0.9446554780006409, 0.8838526606559753, 0.8582388162612915]
+COc1cc(-c2cc(O)n3nccc3n2)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2cc(C(=O)[O-])c(C)o2)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2c(N)cnn2C)ccc1Cl; ['COc1cc(I)ccc1Cl']; ['Cn1cc(N)cn1']; [0.995665431022644]
+COc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)ccc1Cl; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'COc1cc(I)ccc1Cl', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'COc1cc(Cl)ccc1Cl', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1']; [0.9999983310699463, 0.9999955296516418, 0.9999855160713196, 0.9999840259552002, 0.9999781847000122, 0.9999433159828186, 0.9999086856842041, 0.999833345413208, 0.9995814561843872, 0.9993549585342407, 0.9993456602096558, 0.9990947246551514, 0.9874830842018127, 0.9797877073287964, 0.9500455856323242]
+COc1cc(-c2cc(Cl)c(O)c(Cl)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['Oc1c(Cl)cc(Br)cc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Nc1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cccc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(Cl)cc1Cl', 'Oc1c(Cl)cccc1Cl', 'Oc1c(Cl)cccc1Cl', 'Oc1c(Cl)cccc1Cl', 'Oc1c(Cl)cc(I)cc1Cl']; [0.999995231628418, 0.9999909996986389, 0.9999668598175049, 0.9999569058418274, 0.9997862577438354, 0.9996895790100098, 0.9996540546417236, 0.9996293783187866, 0.9994903802871704, 0.9992349743843079, 0.9991894960403442, 0.9946138858795166, 0.991735577583313, 0.9872841835021973, 0.9790416955947876, 0.9723609685897827, 0.9496663808822632, 0.948229193687439, 0.9275693297386169, 0.8802450895309448]
+COc1cc(Nc2ccncc2)ccc1Cl; ['COc1cc(N)ccc1Cl', 'Brc1ccncc1', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'CC(=O)Nc1ccncc1', 'Brc1ccncc1', 'COc1cc(N)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['OB(O)c1ccncc1', 'COc1cc(N)ccc1Cl', 'Nc1ccncc1', 'Nc1ccncc1', 'Ic1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Fc1ccncc1', 'Oc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Clc1ccncc1', 'COc1cc(Br)ccc1Cl', 'COc1cc(NC(C)=O)ccc1Cl', 'O=[N+]([O-])c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1']; [0.9999750256538391, 0.9999690055847168, 0.9999422430992126, 0.9998258352279663, 0.9992470145225525, 0.9990174770355225, 0.9989442825317383, 0.9984732866287231, 0.9979095458984375, 0.9977754950523376, 0.9963017702102661, 0.995348334312439, 0.9922815561294556, 0.9662522077560425, 0.9154247045516968, 0.8393090963363647]
+COc1cc(-c2ccc(Br)cc2F)ccc1Cl; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(N)ccc1Cl', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1ccccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['COc1cc(I)ccc1Cl', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1I', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Cl', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1Br', 'OB(O)c1ccc(Br)cc1F', 'COc1cc(Br)ccc1Cl', 'Nc1ccc(Br)cc1F', 'COc1cc(Cl)ccc1Cl', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Cl', 'Fc1cccc(Br)c1', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br', 'Fc1cccc(Br)c1', 'Fc1cc(Br)ccc1I', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br', 'Fc1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Cl', 'Fc1cccc(Br)c1', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1Cl']; [0.9999996423721313, 0.9999995231628418, 0.9999994039535522, 0.9999979734420776, 0.9999929666519165, 0.9999740123748779, 0.9999729990959167, 0.9999563694000244, 0.9999174475669861, 0.9998756647109985, 0.9998496770858765, 0.9998247623443604, 0.9997842311859131, 0.9994043111801147, 0.9989492893218994, 0.9984835386276245, 0.9978933334350586, 0.9969969987869263, 0.9963473677635193, 0.9825241565704346, 0.9818011522293091, 0.9574417471885681, 0.9482741951942444, 0.8912136554718018, 0.8543570041656494, 0.8032003045082092, 0.7877311110496521]
+CNC(=O)c1ccc(-c2ccc(Cl)c(OC)c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl']; [0.9999998211860657, 0.9999995231628418, 0.9999976754188538, 0.999997615814209, 0.999983549118042, 0.9999834299087524, 0.9999805688858032, 0.999967098236084, 0.9999628663063049, 0.9996905326843262, 0.9996740818023682, 0.9989789128303528, 0.9987172484397888, 0.9940230846405029, 0.9648008346557617]
+COc1cc(-c2ccc(C(N)=O)c(C)c2)ccc1Cl; ['COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O']; [0.9999997615814209, 0.9999994039535522, 0.9999825954437256, 0.9991108179092407]
+COc1cc(N(C)c2cccc3[nH]ncc23)ccc1Cl; ['CNc1cccc2[nH]ncc12', 'CNc1cccc2[nH]ncc12']; ['COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl']; [0.9993144273757935, 0.9967532753944397]
+COc1cc(-c2ccc(C(=O)NC3CC3)cc2)ccc1Cl; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'COc1cc(Cl)ccc1Cl', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [1.0, 0.9999997615814209, 0.9999995827674866, 0.999998927116394, 0.999998927116394, 0.9999988079071045, 0.999997615814209, 0.9999948740005493, 0.9999908208847046, 0.9999902248382568, 0.9999898076057434, 0.9991114735603333, 0.9983876943588257]
+COc1cc(-c2[nH]nc3ccc(F)cc23)ccc1Cl; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['Fc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1', 'Fc1ccc2n[nH]cc2c1']; [0.9999881982803345, 0.9999829530715942, 0.9999735355377197, 0.9861929416656494]
+COc1cc(-c2cc(O)cc(Br)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1ccc(C(=O)O)cc1Cl', 'COc1c(Cl)cccc1C=O', 'COc1c(Cl)cccc1C(=O)O', 'COc1ccc(C=O)cc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['Oc1cc(Br)cc(I)c1', 'OB(O)c1cc(O)cc(Br)c1', 'COc1cc(I)ccc1Cl', 'Oc1cc(Br)cc(I)c1', 'Oc1cc(Br)cc(Br)c1', 'O=C(O)c1ccc(Br)cc1O', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'COc1cc(Br)ccc1Cl', 'O=Cc1ccc(Br)cc1O', 'Oc1cc(Cl)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'O=C(O)c1ccc(O)cc1Br', 'OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(F)cc(Br)c1', 'Oc1cccc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Cl)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'Oc1cc(Br)cc(I)c1', 'Oc1cc(Br)cc(I)c1', 'Oc1cc(Br)cc(I)c1', 'Oc1cccc(Br)c1', 'O=Cc1ccc(O)cc1Br']; [0.9999989867210388, 0.9999983906745911, 0.9999971985816956, 0.9999896883964539, 0.9999810457229614, 0.9999510049819946, 0.9998923540115356, 0.9998915791511536, 0.9997519850730896, 0.9995979070663452, 0.9992830753326416, 0.9992796182632446, 0.9986796379089355, 0.9974318742752075, 0.995476245880127, 0.9888266324996948, 0.9886381030082703, 0.9761448502540588, 0.9662228226661682, 0.9526402950286865, 0.9386431574821472, 0.9336064457893372, 0.8817874789237976, 0.841359555721283, 0.7984998226165771, 0.7979248762130737]
+COc1cc(-c2cc(C)c(O)c(C)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Cc1cc(Br)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(N)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cccc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cccc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cccc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O']; [0.9999815821647644, 0.9999560713768005, 0.9999449253082275, 0.9999082088470459, 0.9998981952667236, 0.9990236759185791, 0.9988846778869629, 0.998001754283905, 0.9979723691940308, 0.9973335266113281, 0.9965161681175232, 0.9943253397941589, 0.9908949136734009, 0.9815510511398315, 0.9768545627593994, 0.9761636257171631, 0.9406000375747681, 0.926449179649353, 0.8830890655517578, 0.8308975100517273, 0.8061591982841492]
+COc1cc(-c2ccc3nc(C)oc3c2)ccc1Cl; ['COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Cl)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; [0.9999995231628418, 0.9999990463256836, 0.9999977350234985, 0.9999955892562866, 0.999984622001648, 0.9999563694000244, 0.9975652694702148, 0.9973794221878052, 0.9813910722732544, 0.9241169691085815]
+COc1cc(-c2cc(F)c(O)c(F)c2)ccc1Cl; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1ccccc1Cl']; ['COc1cc(Br)ccc1Cl', 'Oc1c(F)cc(Br)cc1F', 'COc1cc(I)ccc1Cl', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(Br)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(I)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(Cl)cc1F', 'Oc1c(F)cccc1F', 'Oc1c(F)cccc1F', 'Oc1c(F)cc(Br)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Cl)cc1F', 'Oc1c(F)cc(Br)cc1F']; [0.9999989867210388, 0.9999986886978149, 0.9999978542327881, 0.9999921321868896, 0.9999918937683105, 0.9999541640281677, 0.9999362230300903, 0.9999221563339233, 0.9999040365219116, 0.9998421669006348, 0.9994827508926392, 0.9988198280334473, 0.9981407523155212, 0.9967829585075378, 0.992567777633667, 0.9764589667320251, 0.9643236398696899, 0.8614705801010132]
+COc1cc(-c2ocnc2-c2ccc(F)cc2)ccc1Cl; ['COc1cc(Br)ccc1Cl']; ['Fc1ccc(-c2cocn2)cc1']; [0.9997596740722656]
+COc1cc(-c2ccc3c(=O)[nH][nH]c3c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2ccccc12']; [0.999998927116394, 0.999976396560669, 0.9999508857727051, 0.9928648471832275, 0.9602499604225159]
+COc1cc(-c2cccc(SC)c2)ccc1Cl; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc([Zn]Br)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(N)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1', 'CSc1cccc([B-](F)(F)F)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc([Mg]Br)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Cl)c1']; [0.9999980330467224, 0.9999953508377075, 0.9999927282333374, 0.9998685121536255, 0.9998204112052917, 0.9996208548545837, 0.9987291097640991, 0.9982506036758423, 0.9979468584060669, 0.9935933351516724, 0.9928023815155029, 0.9870104193687439, 0.9793410897254944, 0.9715405702590942, 0.9648120403289795, 0.9123653173446655, 0.8478854894638062, 0.786774754524231]
+COc1cc(-c2c(-c3ccccc3)noc2C)ccc1Cl; ['COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1ccccc1Cl']; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1I', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1I']; [0.9999970197677612, 0.9999949932098389, 0.9999942779541016, 0.9891278743743896]
+COc1cc(CCc2c[nH]c3ccccc23)ccc1Cl; [None]; [None]; [0]
+COc1cc(Oc2ccc(F)cc2F)ccc1Cl; ['COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(O)ccc1Cl', None, 'COc1cc(O)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F', 'Fc1ccc(Br)c(F)c1', 'OB(O)c1ccc(F)cc1F', 'Fc1ccc(I)c(F)c1', None, 'Oc1ccc(F)cc1F', 'Fc1ccc(F)c(F)c1', 'Fc1ccc(Cl)c(F)c1', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999774098396301, 0.9999709129333496, 0.9999606609344482, 0.9999147653579712, 0.9998441338539124, 0.9995812773704529, 0, 0.998621940612793, 0.9982702732086182, 0.9964777231216431, 0.9927447438240051, 0.9864778518676758]
+COc1cc(OCc2cccc3ccccc23)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['Clc1ccc(-c2ccn[nH]2)cc1', 'Clc1ccc(-c2ccn[nH]2)cc1', 'Clc1ccc(-c2ccn[nH]2)cc1']; [0.9985777735710144, 0.9938490390777588, 0.9754375219345093]
+COc1cc(NCc2c(F)cccc2Cl)ccc1Cl; ['COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(N)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cc([N+](=O)[O-])ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CBr', 'NCc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CCl', 'O=Cc1c(F)cccc1Cl', 'OCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.999994158744812, 0.9999929070472717, 0.999991774559021, 0.9999810457229614, 0.9999489784240723, 0.9998916387557983, 0.9995092153549194, 0.9974712133407593, 0.9942941665649414, 0.9905202388763428]
+COc1cc(CCc2ccc(F)cc2F)ccc1Cl; ['COc1cc(I)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(CBr)ccc1Cl', 'C=Cc1ccc(F)cc1F', 'COc1cc(C)ccc1Cl', 'COc1ccccc1Cl']; ['Fc1ccc(CCBr)c(F)c1', 'Fc1ccc(CCBr)c(F)c1', 'Fc1ccc(CCBr)c(F)c1', 'Fc1ccc(CCCl)c(F)c1', 'Fc1ccc(CCBr)c(F)c1', 'Cc1ccc(F)cc1F', 'COc1ccccc1Cl', 'Fc1ccc(CBr)c(F)c1', 'Fc1ccc(CCBr)c(F)c1']; [0.999912679195404, 0.9997367858886719, 0.9995183944702148, 0.9980474710464478, 0.9977625608444214, 0.9955905675888062, 0.9833422899246216, 0.9701192378997803, 0.9277797937393188]
+COc1cc(OCc2ccc(F)cc2F)ccc1Cl; ['COc1cc(O)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(O)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1ccccc1Cl']; ['Fc1ccc(CBr)c(F)c1', 'Fc1ccc(CCl)c(F)c1', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F']; [0.9999996423721313, 0.999998927116394, 0.9999945163726807, 0.999988317489624, 0.9999813437461853, 0.9995346069335938, 0.9981260895729065, 0.9601341485977173]
+c1cc(-c2ccc3occc3c2)c2cccnc2c1; ['Ic1cccc2ncccc12', 'Brc1ccc2occc2c1', 'Brc1cccc2ncccc12', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cccc2ncccc12', 'Clc1cccc2ncccc12', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Br[Mg]c1cccc2ncccc12']; ['OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Ic1cccc2ncccc12', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Clc1cccc2ncccc12', 'Clc1ccc2occc2c1', 'OB(O)c1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'Brc1cccc2ncccc12', 'OB(O)c1cccc2ncccc12', 'Clc1ccc2occc2c1']; [0.9999994039535522, 0.9999992847442627, 0.9999990463256836, 0.9999986290931702, 0.9999982118606567, 0.9999969005584717, 0.9999940395355225, 0.9999914169311523, 0.9999762773513794, 0.9999204277992249, 0.9996647238731384, 0.9984462261199951, 0.9812791347503662, 0.8788986206054688]
+Oc1cccc(-c2ccc3occc3c2)c1; ['OB(O)c1ccc2occc2c1', 'CC(C)(C)[Si](C)(C)Oc1cccc(Br)c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['Oc1cccc(I)c1', 'OB(O)c1ccc2occc2c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(Br)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC(C)(C)[Si](C)(C)Oc1cccc(B(O)O)c1', 'Oc1cccc(Cl)c1', 'Ic1ccc2occc2c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9999595880508423, 0.99992835521698, 0.9999219179153442, 0.9999024868011475, 0.9997243285179138, 0.9996962547302246, 0.9996905326843262, 0.9996598958969116, 0.9996256828308105, 0.9988753795623779, 0.998848557472229, 0.9962221384048462, 0.8108054399490356]
+CNS(=O)(=O)c1ccc(-c2ccc3occc3c2)cc1; ['Brc1ccc2occc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.9999627470970154, 0.9999324083328247, 0.9999186992645264, 0.9998977184295654, 0.9998888969421387, 0.9998815059661865, 0.999862551689148, 0.999846339225769, 0.999826192855835, 0.9995843768119812, 0.7682696580886841]
+Oc1cc(-c2ccc3occc3c2)ccc1Cl; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Brc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1']; ['Oc1cc(I)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'Oc1cc(Br)ccc1Cl', 'Ic1ccc2occc2c1', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Br)ccc1Cl', 'OB(O)c1ccc(Cl)c(O)c1', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Cl)ccc1Cl']; [0.9999725222587585, 0.9999697804450989, 0.9999601244926453, 0.9999454021453857, 0.9999333024024963, 0.9999183416366577, 0.999858021736145, 0.9995434284210205, 0.9968509078025818, 0.9927999973297119]
+Clc1ccc2c(c1-c1ccc3occc3c1)OCO2; ['Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'OB(O)c1c(Cl)ccc2c1OCO2', 'Clc1ccc2c(c1)OCO2']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2', 'Oc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1']; [0.9997448921203613, 0.9991639852523804, 0.9917043447494507, 0.9641184210777283, 0.7892884612083435]
+NC(=O)c1ccc(-c2ccc3occc3c2)c(F)c1; ['NC(=O)c1ccc(Br)c(F)c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(Cl)c(F)c1', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['OB(O)c1ccc2occc2c1', 'NC(=O)c1ccc(Br)c(F)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; [0.9999904632568359, 0.9999872446060181, 0.9999502301216125, 0.9998741745948792, 0.9998230338096619, 0.9997771978378296, 0.9984503984451294, 0.997753381729126, 0.9814621210098267]
+COc1cc(C(N)=O)ccc1-c1ccc2occc2c1; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'COc1cc(C(N)=O)ccc1Br']; ['Ic1ccc2occc2c1', 'COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1ccc2occc2c1']; [0.9998865127563477, 0.9998853206634521, 0.9998831748962402, 0.9998354911804199]
+Fc1ccc(Oc2ccc3occc3c2)cc1; ['OB(O)c1ccc2occc2c1', 'Fc1ccc(I)cc1', 'OB(O)c1ccc(F)cc1', 'Brc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Fc1ccc(Br)cc1', 'Clc1ccc2occc2c1', 'Fc1ccc(Cl)cc1']; ['Oc1ccc(F)cc1', 'Oc1ccc2occc2c1', 'Oc1ccc2occc2c1', 'Oc1ccc(F)cc1', 'Oc1ccc(F)cc1', 'Oc1ccc2occc2c1', 'Oc1ccc(F)cc1', 'Oc1ccc2occc2c1']; [0.9998703598976135, 0.9984370470046997, 0.998350977897644, 0.9982158541679382, 0.9980953931808472, 0.9962484836578369, 0.9783085584640503, 0.9494526386260986]
+c1ccc2c(-c3ccc4occc4c3)n[nH]c2c1; ['CC(C)(C)OC(=O)n1nc(I)c2ccccc21', 'Brc1n[nH]c2ccccc12', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Ic1n[nH]c2ccccc12', 'Brc1n[nH]c2ccccc12', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Clc1n[nH]c2ccccc12', 'OB(O)c1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Ic1n[nH]c2ccccc12', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Clc1n[nH]c2ccccc12', 'OB(O)c1ccc2occc2c1', 'c1ccc2[nH]ncc2c1', 'Brc1n[nH]c2ccccc12']; [0.9999994039535522, 0.9999895095825195, 0.9999834299087524, 0.9999793171882629, 0.9999194145202637, 0.9999090433120728, 0.9998198747634888, 0.9980615377426147, 0.9267325401306152]
+NC(=O)c1ccc(-c2ccc3occc3c2)cc1; ['Brc1ccc2occc2c1', 'NC(=O)c1ccc(I)cc1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Ic1ccc2occc2c1', 'NC(=O)c1ccc(Br)cc1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'NC(=O)c1ccc(Cl)cc1', 'Brc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'NC(=O)c1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1', 'Clc1ccc2occc2c1', 'NC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2occc2c1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Cl)cc1', 'OB(O)c1ccc2occc2c1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(O)cc1', 'Oc1ccc2occc2c1']; [0.999995231628418, 0.9999895691871643, 0.9999894499778748, 0.9999887943267822, 0.9999813437461853, 0.9999725818634033, 0.9999638795852661, 0.9999619722366333, 0.9999451637268066, 0.9999372959136963, 0.9999210834503174, 0.9999160170555115, 0.9996471405029297, 0.9989930391311646, 0.9986320734024048, 0.9976270198822021, 0.9778715968132019, 0.9675552845001221, 0.9375908374786377, 0.8436627388000488]
+Clc1cccc(Cl)c1-c1ccc2occc2c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1cccc(Cl)c1I', 'Clc1ccc2occc2c1', 'Clc1cccc(Cl)c1Cl', 'Brc1ccc2occc2c1', 'Clc1cccc(Cl)c1', 'Clc1ccc2occc2c1', 'Clc1cccc(Cl)c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'COc1ccc2occc2c1']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'Ic1ccc2occc2c1', 'Clc1cccc(Cl)c1Br', 'OB(O)c1ccc2occc2c1', 'Clc1cccc(Cl)c1Cl', 'OB(O)c1ccc2occc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'Ic1ccc2occc2c1', 'Clc1cccc(Cl)c1', 'COc1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br']; [0.9999978542327881, 0.999996542930603, 0.9999864101409912, 0.9999825954437256, 0.9999792575836182, 0.9999729990959167, 0.9998904466629028, 0.9998904466629028, 0.9995992183685303, 0.9991828203201294, 0.9977573156356812, 0.9970608949661255, 0.9970518350601196, 0.9956009387969971, 0.992607831954956, 0.9913203716278076, 0.9868377447128296, 0.9793953895568848, 0.9565315246582031, 0.8127881288528442]
+Nc1nccc(-c2ccc3occc3c2)n1; ['Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Nc1nccc(Cl)n1', 'Nc1ncccn1']; ['OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Nc1nccc(Cl)n1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1']; [0.9999967813491821, 0.9999923706054688, 0.999969482421875, 0.9999641180038452, 0.9997259378433228]
+Oc1ccc(-c2ccc3occc3c2)c(Cl)c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Ic1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1']; ['Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Ic1ccc2occc2c1', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(O)cc1Cl', 'Clc1ccc2occc2c1', 'Oc1ccc(Cl)c(Cl)c1', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(Br)c(Cl)c1']; [0.999991238117218, 0.9999675750732422, 0.9998984336853027, 0.9998706579208374, 0.9998628497123718, 0.9997574090957642, 0.9996325969696045, 0.9992679357528687, 0.9992002844810486, 0.9973706007003784, 0.9932262897491455, 0.9757682085037231, 0.9203122854232788, 0.8225447535514832]
+Cc1nc2c(F)cc(-c3ccc4occc4c3)cc2[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc2occc2c1; ['Brc1ccc2occc2c1', 'COc1cc(F)ccc1I', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'COc1cc(F)ccc1Cl', 'Brc1ccc2occc2c1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1[Mg]Br', 'Brc1ccc2occc2c1', 'COc1cc(F)ccc1Br', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'COc1cccc(F)c1', 'COc1cc(F)ccc1[Mg]Br']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1ccc2occc2c1', 'COc1cc(F)ccc1Br', 'Ic1ccc2occc2c1', 'COc1cc(F)ccc1I', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1B(O)O', 'OB(O)c1ccc2occc2c1', 'COc1cc(F)ccc1I', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'COc1cc(F)ccc1[Mg]Br', 'Clc1ccc2occc2c1', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1Br', 'OB(O)c1ccc2occc2c1', 'COc1ccc2occc2c1']; [0.9999876618385315, 0.9999860525131226, 0.9999765157699585, 0.9999668002128601, 0.9999654293060303, 0.9999504685401917, 0.9999271035194397, 0.9999009370803833, 0.9998934268951416, 0.9998713731765747, 0.9997867345809937, 0.9996967911720276, 0.9996458292007446, 0.9994274377822876, 0.9991548657417297, 0.9983518719673157, 0.9967713356018066, 0.9961107969284058, 0.9841558933258057, 0.9507789015769958, 0.856859028339386]
+COc1ccc(F)cc1-c1ccc2occc2c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'COc1ccc(F)cc1Br', 'Brc1ccc2occc2c1', 'COc1ccc(F)cc1Br', 'Brc1ccc2occc2c1', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1[Mg]Br', 'Brc1ccc2occc2c1', 'COc1ccc(F)cc1', 'COc1ccc(F)cc1[Mg]Br', 'COc1ccc(F)cc1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Cl']; ['COc1ccc(F)cc1Br', 'OB(O)c1ccc2occc2c1', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1ccc2occc2c1', 'COc1ccc(F)cc1B(O)O', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1[Mg]Br', 'Clc1ccc2occc2c1', 'Fc1ccc2occc2c1', 'COc1ccc(F)cc1', 'Clc1ccc2occc2c1', 'COc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'c1ccc2occc2c1', 'c1ccc2occc2c1']; [0.9999995231628418, 0.999998927116394, 0.9999957084655762, 0.9999871253967285, 0.9999856352806091, 0.9999833106994629, 0.999982476234436, 0.9999812245368958, 0.9998394250869751, 0.9997318983078003, 0.9996664524078369, 0.9994558095932007, 0.9954030513763428, 0.9924986362457275, 0.9655314683914185, 0.9452590942382812, 0.9358859062194824, 0.8675329685211182, 0.7952907085418701]
+Oc1ccc(-c2ccc3occc3c2)c(F)c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Brc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Ic1ccc2occc2c1']; ['Oc1ccc(Br)c(F)c1', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(Br)c(F)c1', 'Oc1ccc(I)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Ic1ccc2occc2c1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Cl)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Br)c(F)c1', 'Oc1cccc(F)c1']; [0.9999866485595703, 0.9999672174453735, 0.9999370574951172, 0.9999161958694458, 0.9998834133148193, 0.9998695850372314, 0.9997212886810303, 0.9989610910415649, 0.9983793497085571, 0.9951014518737793, 0.8758628368377686, 0.7611995935440063]
+O=C([O-])c1ccc(-c2ccc3occc3c2)cc1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'O=C([O-])c1ccc(Cl)cc1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C']; ['O=C([O-])c1ccc(Cl)cc1', 'OB(O)c1ccc2occc2c1', 'O=C([O-])c1ccccc1']; [0.9988632202148438, 0.9924136400222778, 0.9611011743545532]
+Clc1[nH]ncc1-c1ccc2occc2c1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc3occc3c2)o1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(Cl)o1', 'Brc1ccc2occc2c1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(B(O)O)o1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1', 'COC(=O)c1ccco1']; ['COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)o1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'COC(=O)c1ccc(B(O)O)o1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccco1', 'O=S(=O)(Cl)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Nc1ccc2occc2c1']; [0.9999935626983643, 0.9999751448631287, 0.9999598264694214, 0.9999492764472961, 0.9994014501571655, 0.999230682849884, 0.9948408603668213, 0.9835166931152344, 0.9802078008651733, 0.9741959571838379, 0.9511878490447998, 0.7711242437362671, 0.7662851810455322]
+COc1cc(-c2ccc3occc3c2)ccc1O; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O', 'Brc1ccc2occc2c1', 'COc1cc(Cl)ccc1O', 'Brc1ccc2occc2c1']; ['COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'COc1cc(Cl)ccc1O', 'OB(O)c1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Ic1ccc2occc2c1', 'COc1cc(I)ccc1O', 'OB(O)c1ccc2occc2c1', 'COc1cc(B(O)O)ccc1O']; [0.9999779462814331, 0.9999476075172424, 0.9998964071273804, 0.9998505115509033, 0.9997239112854004, 0.9995328187942505, 0.9995080232620239, 0.999056875705719, 0.9956866502761841, 0.995569109916687, 0.9941189289093018, 0.9933751225471497, 0.986060380935669, 0.985795795917511]
+Oc1ccc(-c2ccc(-c3ccc4occc4c3)cc2)c(O)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc3occc3c2)ccc1O; [None]; [None]; [0]
+Cn1cc(-c2ccc3occc3c2)c2ccccc21; ['Brc1ccc2occc2c1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Brc1ccc2occc2c1', 'Cn1cc(C(=O)O)c2ccccc21']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Cn1ccc2ccccc21', 'Ic1ccc2occc2c1']; [0.9999774098396301, 0.9998809099197388, 0.9997905492782593, 0.998675525188446, 0.9936081171035767]
+Oc1ccc(-c2ccc3occc3c2)cc1F; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1']; ['Oc1ccc(Br)cc1F', 'Oc1ccc(I)cc1F', 'Oc1ccc(Br)cc1F', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Ic1ccc2occc2c1', 'Oc1ccc(I)cc1F', 'Oc1ccc(Cl)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(I)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Br)cc1F', 'Oc1ccccc1F']; [0.9999894499778748, 0.9999758005142212, 0.9999713897705078, 0.9999691247940063, 0.999962568283081, 0.9999589323997498, 0.9997971057891846, 0.9997725486755371, 0.9994989633560181, 0.9994105100631714, 0.9989726543426514, 0.9988884925842285, 0.9709682464599609, 0.899659276008606]
+Brc1cccc(-c2ccc3occc3c2)c1; [None]; [None]; [0]
+c1ccc2cc(-c3ccc4occc4c3)ccc2c1; [None]; [None]; [0]
+Oc1ccc(-c2ccc3occc3c2)c(O)c1; [None]; [None]; [0]
+Clc1ccccc1OCc1ccc2occc2c1; ['BrCc1ccc2occc2c1', 'OCc1ccc2occc2c1', 'Clc1ccccc1I', 'Fc1ccccc1Cl', 'Clc1ccccc1Br', 'F[B-](F)(F)c1ccccc1Cl', 'Clc1ccccc1Cl']; ['Oc1ccccc1Cl', 'Oc1ccccc1Cl', 'OCc1ccc2occc2c1', 'OCc1ccc2occc2c1', 'OCc1ccc2occc2c1', 'OCc1ccc2occc2c1', 'OCc1ccc2occc2c1']; [0.9999129772186279, 0.9993957281112671, 0.9979365468025208, 0.9943769574165344, 0.9918782114982605, 0.9633053541183472, 0.9196590185165405]
+COC(=O)c1ccc(Cl)c(-c2ccc3occc3c2)c1; [None]; [None]; [0]
+c1cc2c(-c3ccc4occc4c3)c[nH]c2cn1; ['Brc1c[nH]c2cnccc12', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1c[nH]c2cnccc12', 'Ic1c[nH]c2cnccc12', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Ic1c[nH]c2cnccc12', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'c1cc2cc[nH]c2cn1', 'OB(O)c1c[nH]c2cnccc12']; [0.9999874830245972, 0.9999760389328003, 0.9997228384017944, 0.9994529485702515, 0.8702304363250732, 0.8087964057922363]
+Nc1cc(-c2ccc3occc3c2)ccn1; ['Nc1cc(I)ccn1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(Br)ccn1', 'Nc1cc(Cl)ccn1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['OB(O)c1ccc2occc2c1', 'Nc1cc(Br)ccn1', 'Nc1cc(I)ccn1', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Ic1ccc2occc2c1', 'Nc1cc(Cl)ccn1', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(Br)ccn1']; [0.9999946355819702, 0.9999927878379822, 0.9999902248382568, 0.9999814033508301, 0.9999764561653137, 0.9999695420265198, 0.9999226331710815, 0.9999223947525024, 0.9998934864997864, 0.9997695684432983, 0.9995513558387756, 0.9992272853851318, 0.9841388463973999]
+c1cnn2ncc(-c3ccc4occc4c3)c2c1; ['Brc1cnn2ncccc12', 'Brc1ccc2occc2c1', 'Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Ic1ccc2occc2c1']; ['OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Ic1ccc2occc2c1', 'O=C(O)c1cnn2ncccc12']; [0.999994695186615, 0.9999876022338867, 0.9999831914901733, 0.9999725818634033, 0.9966180324554443]
+Fc1ccc(-c2nc[nH]c2-c2ccc3occc3c2)cc1; ['Fc1ccc(-c2c[nH]cn2)cc1']; ['Ic1ccc2occc2c1']; [0.9303191900253296]
+Fc1ccc(-c2ccc3occc3c2)cc1Cl; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1ccc2occc2c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'Cc1ccc2[nH]ncc2c1I', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2occc2c1', 'Cc1ccc2[nH]ncc2c1Br', 'Brc1ccc2occc2c1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2occc2c1', 'Cc1ccc2[nH]ncc2c1B(O)O']; ['Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1ccc2occc2c1', 'Cc1ccc2[nH]ncc2c1Br', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Ic1ccc2occc2c1', 'Cc1ccc2[nH]ncc2c1I', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Cc1ccc2[nH]ncc2c1Br', 'Clc1ccc2occc2c1']; [0.9999992847442627, 0.9999985098838806, 0.9999983310699463, 0.9999982118606567, 0.9999980926513672, 0.9999833106994629, 0.9999068379402161, 0.9998897910118103, 0.9998694658279419, 0.9998615384101868, 0.9996677041053772, 0.9992209672927856, 0.9963241815567017]
+Oc1ncc(-c2ccc3occc3c2)cc1Cl; ['OB(O)c1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['Oc1ncc(I)cc1Cl', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Oc1ncc(I)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Ic1ccc2occc2c1', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Cl)cc1Cl', 'Oc1ncc(Br)cc1Cl']; [0.9999921321868896, 0.9999760389328003, 0.9999682903289795, 0.9999637007713318, 0.9999133348464966, 0.9998539686203003, 0.9983597993850708, 0.95467609167099]
+NC(=O)c1cc(-c2ccc3occc3c2)c[nH]1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'NC(=O)c1cc(Br)c[nH]1', 'Brc1ccc2occc2c1']; ['NC(=O)c1cc(Br)c[nH]1', 'OB(O)c1ccc2occc2c1', 'NC(=O)c1cc(Br)c[nH]1']; [0.9998879432678223, 0.9995008707046509, 0.9683939218521118]
+Oc1ccc(Cl)c(-c2ccc3occc3c2)c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1']; ['Oc1ccc(Cl)c(Br)c1', 'Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(O)ccc1Cl', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'Ic1ccc2occc2c1', 'Oc1ccc(Cl)c(Cl)c1', 'OB(O)c1cc(O)ccc1Cl', 'OB(O)c1cc(O)ccc1Cl']; [0.999983549118042, 0.9999580383300781, 0.9999067187309265, 0.9997462630271912, 0.999492347240448, 0.9994187951087952, 0.9992983341217041, 0.9972001910209656, 0.9952417612075806, 0.9556956887245178]
+Cc1ccc(CO)cc1-c1ccc2occc2c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1ccc(CO)cc1Br', 'Brc1ccc2occc2c1', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1Cl', 'Brc1ccc2occc2c1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O', 'Brc1ccc2occc2c1', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B(O)O', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1ccc(CO)cc1I', 'Brc1ccc2occc2c1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1']; ['Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1Br', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Cc1ccc(CO)cc1Cl', 'OB(O)c1ccc2occc2c1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Cc1ccc(CO)cc1I', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Cc1ccc(CO)cc1B(O)O', 'Clc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1', 'Ic1ccc2occc2c1', 'Cc1ccc(CO)cc1Br', 'c1ccc2occc2c1']; [0.9999908804893494, 0.9999803304672241, 0.9999797344207764, 0.9999563694000244, 0.9999516010284424, 0.9999510049819946, 0.9999388456344604, 0.9997415542602539, 0.9996931552886963, 0.9995432496070862, 0.9993042945861816, 0.9993020296096802, 0.9985358715057373, 0.990254282951355, 0.985573410987854, 0.9809166193008423, 0.9750732183456421, 0.972770094871521, 0.9713936448097229, 0.9552279710769653]
+COc1cc(OC)cc(-c2ccc3occc3c2)c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(Br)cc(OC)c1', 'Brc1ccc2occc2c1', 'COc1cc(I)cc(OC)c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'COc1cc(Br)cc(OC)c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'COc1cc(OC)cc([Mg]Br)c1', 'COc1cc(I)cc(OC)c1', 'COc1cccc(OC)c1', 'Brc1ccc2occc2c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1']; ['COc1cc(Br)cc(OC)c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'OB(O)c1ccc2occc2c1', 'COc1cc(I)cc(OC)c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'COc1cc(Cl)cc(OC)c1', 'Ic1ccc2occc2c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'COc1cc(OC)cc(OC)c1', 'COc1ccc2occc2c1', 'Fc1ccc2occc2c1']; [0.9999932050704956, 0.9999921321868896, 0.9999904632568359, 0.999988317489624, 0.9999868869781494, 0.9999802708625793, 0.9999783039093018, 0.99996018409729, 0.9999490976333618, 0.9999458193778992, 0.9999406337738037, 0.9999377131462097, 0.9999235272407532, 0.9996917247772217, 0.9996185302734375, 0.9996010065078735, 0.9971221685409546, 0.9954873323440552, 0.9917885661125183, 0.9813101291656494, 0.9598931074142456, 0.9584860801696777, 0.9579010009765625, 0.9530495405197144, 0.9503079652786255]
+COc1ccc(-c2ccc3occc3c2)cc1OC; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(I)cc1OC', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'COc1ccc(Br)cc1OC', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc([Mg]Br)cc1OC', 'Brc1ccc2occc2c1', 'COc1ccc([Mg]Br)cc1OC', 'Brc1ccc2occc2c1', 'COc1ccccc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC']; ['COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'COc1ccc(Cl)cc1OC', 'OB(O)c1ccc2occc2c1', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'Ic1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'COc1ccc([Mg]Br)cc1OC', 'Clc1ccc2occc2c1', 'COc1ccc(Br)cc1OC', 'OB(O)c1ccc2occc2c1', 'Fc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'COc1ccc2occc2c1']; [0.9999922513961792, 0.9999871253967285, 0.9999574422836304, 0.9999547004699707, 0.9998950958251953, 0.9998817443847656, 0.9998700022697449, 0.9998222589492798, 0.9994990825653076, 0.9988808631896973, 0.9986222386360168, 0.9986107349395752, 0.9972395896911621, 0.997126042842865, 0.9857264161109924, 0.979279100894928, 0.9775416254997253, 0.940861701965332, 0.9055531620979309, 0.8613977432250977, 0.8427340388298035, 0.8321164846420288]
+Cc1nc2ccc(-c3ccc4occc4c3)cc2[nH]1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1', 'Brc1ccc2occc2c1']; ['Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Ic1ccc2occc2c1', 'Cc1nc2ccc(Cl)cc2[nH]1', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Cc1nc2ccc(Br)cc2[nH]1']; [0.9999927282333374, 0.9999923706054688, 0.9999822974205017, 0.999916672706604, 0.9999054670333862, 0.999904990196228, 0.9995807409286499, 0.9132153987884521]
+NC(=O)Nc1ccc(-c2ccc3occc3c2)cc1; ['Brc1ccc2occc2c1', 'NC(=O)Nc1ccc(Br)cc1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Nc1ccc(-c2ccc3occc3c2)cc1', None, 'NC(N)=O']; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'NC(=O)Nc1ccc(Br)cc1', '[N-]=C=O', None, 'Nc1ccc(-c2ccc3occc3c2)cc1']; [0.9999908208847046, 0.9999762773513794, 0.9999575614929199, 0.9908567070960999, 0, 0.9844086766242981]
+c1cc2cc(-c3ccc4occc4c3)cnc2[nH]1; ['Brc1cnc2[nH]ccc2c1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1cnc2[nH]ccc2c1', 'Brc1ccc2occc2c1']; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Ic1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1ccc2occc2c1', 'Brc1cnc2[nH]ccc2c1']; [0.9999996423721313, 0.9999990463256836, 0.9999964237213135, 0.9999939203262329, 0.9999938011169434, 0.9999932050704956, 0.9999924898147583, 0.9999881386756897, 0.9999855160713196, 0.999982476234436, 0.9999792575836182, 0.9999597072601318, 0.9998437166213989, 0.9990382790565491]
+CNC(=O)c1cccc2cc(-c3ccc4occc4c3)ccc12; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3occc3c2)c1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3occc3c2)n1; ['CNc1nccc(Cl)n1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C']; ['OB(O)c1ccc2occc2c1', 'CNc1nccc(Cl)n1']; [0.9998600482940674, 0.99969482421875]
+COc1cc(CCc2ccc3occc3c2)cc(OC)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3occc3c2)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3ccc4occc4c3)nc2c1; [None]; [None]; [0]
+Oc1cncc(-c2ccc3occc3c2)c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3ccc4occc4c3)ccc2N1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'O=C1Cc2ccc(Br)cc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2c(Br)cccc2N1', 'Ic1ccc2occc2c1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(Br)ccc2N1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'Brc1ccc2ccoc2c1', 'O=C1Cc2cc(Cl)ccc2N1', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1cccc2occc12', 'O=C1Cc2ccccc2N1', 'Brc1ccc2occc2c1']; ['O=C1Cc2cc(Br)ccc2N1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Ic1ccc2occc2c1', 'O=C1Cc2cc(I)ccc2N1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'OB(O)c1ccc2occc2c1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'OB(O)c1ccc2occc2c1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9998582601547241, 0.9998579621315002, 0.9998561143875122, 0.999754786491394, 0.9997342228889465, 0.9996873736381531, 0.9996627569198608, 0.9995886087417603, 0.9995630979537964, 0.9995452165603638, 0.9994229078292847, 0.9985539317131042, 0.998393177986145, 0.9970351457595825, 0.996661365032196, 0.9948635101318359, 0.9938087463378906, 0.9812934398651123, 0.9219397306442261, 0.7886010408401489]
+CCc1cc(O)ccc1-c1ccc2occc2c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CCc1cc(O)ccc1Br', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2occc2c1', 'CCc1cc(O)ccc1Cl', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1Br', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['CCc1cc(O)ccc1Br', 'OB(O)c1ccc2occc2c1', 'CCc1cc(O)ccc1Cl', 'Ic1ccc2occc2c1', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Cl']; [0.9999948143959045, 0.9999849796295166, 0.9999270439147949, 0.999868631362915, 0.9998641014099121, 0.9998630285263062, 0.9997848272323608, 0.9952056407928467, 0.9730712175369263, 0.9462761282920837]
+Cc1n[nH]c(-c2ccc3occc3c2)c1C; ['Brc1ccc2occc2c1']; ['Cc1c[nH]nc1C']; [0.9296818971633911]
+CCc1cc(O)c(F)cc1-c1ccc2occc2c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1Br', 'Brc1ccc2occc2c1', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2occc2c1']; ['CCc1cc(O)c(F)cc1Br', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'Clc1ccc2occc2c1', 'CCc1cc(O)c(F)cc1Br']; [0.9999935626983643, 0.9999715685844421, 0.9999701976776123, 0.999953031539917, 0.9998438358306885, 0.9744277000427246]
+CN(c1cccc(Cl)c1)c1ccc2occc2c1; ['Brc1ccc2occc2c1', 'CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1']; ['CNc1cccc(Cl)c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1']; [0.9957772493362427, 0.9909363985061646, 0.961563229560852]
+FC(F)c1cc(-c2ccc3occc3c2)[nH]n1; ['FC(F)c1cc[nH]n1', 'Brc1ccc2occc2c1', 'FC(F)c1cc[nH]n1']; ['OB(O)c1ccc2occc2c1', 'FC(F)c1cc[nH]n1', 'Ic1ccc2occc2c1']; [0.9999517202377319, 0.9604540467262268, 0.9557169079780579]
+Cc1n[nH]c2cc(N(C)c3ccc4occc4c3)ccc12; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccc2occc2c1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc2occc2c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1I', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Brc1ccc2occc2c1', 'Cc1cc(O)cc(Br)c1', 'Cc1cc(O)ccc1B(O)O', 'Brc1ccc2ccoc2c1', 'Brc1cccc2occc12', 'Brc1ccc2occc2c1']; ['Cc1cc(O)ccc1Br', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1Cl', 'Ic1ccc2occc2c1', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Cc1cc(O)ccc1B(O)O', 'OB(O)c1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1Br']; [0.99989914894104, 0.9998852014541626, 0.9998829364776611, 0.9996917247772217, 0.9995900988578796, 0.9994677305221558, 0.9994211792945862, 0.9989557266235352, 0.9983816146850586, 0.9971688389778137, 0.9967968463897705, 0.996249258518219, 0.9946812391281128, 0.9929881691932678, 0.9594818353652954, 0.8739185333251953]
+CCc1sccc1-c1ccc2occc2c1; [None]; [None]; [0]
+Clc1cnccc1-c1ccc2occc2c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Clc1cnccc1I', 'Clc1cnccc1Br', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Clc1ccncc1Cl', 'Clc1cnccc1Br', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Brc1ccc2occc2c1', 'CCCC[Sn](CCCC)(CCCC)c1ccncc1Cl', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1cnccc1I', 'CC1(C)COB(c2ccncc2Cl)OC1', 'Clc1cccnc1', 'Clc1ccc2occc2c1']; ['Clc1cnccc1Br', 'Clc1cnccc1I', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Clc1ccncc1Cl', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Clc1cnccc1I', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'OB(O)c1ccncc1Cl', 'Clc1ccc2occc2c1', 'CCCC[Sn](CCCC)(CCCC)c1ccncc1Cl', 'Ic1ccc2occc2c1', 'OB(O)c1ccncc1Cl', 'CC1(C)COB(c2ccncc2Cl)OC1', 'Clc1cnccc1Br', 'Ic1ccc2occc2c1', 'Fc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccncc1Cl']; [0.999998927116394, 0.9999987483024597, 0.9999980926513672, 0.9999915361404419, 0.9999825954437256, 0.9999805092811584, 0.9999667406082153, 0.9999585747718811, 0.9998898506164551, 0.9998799562454224, 0.9998019337654114, 0.9996876120567322, 0.999677300453186, 0.9996659159660339, 0.999618411064148, 0.9995601177215576, 0.9973466396331787, 0.9954661130905151, 0.9779036641120911, 0.9716558456420898, 0.8929065465927124]
+CNc1nc(-c2ccc3occc3c2)ncc1F; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CNc1nc(Cl)ncc1F']; ['CNc1nc(Cl)ncc1F', 'OB(O)c1ccc2occc2c1']; [0.9999912977218628, 0.9999887347221375]
+c1cc2cc(-c3ccc4c(c3)CCN4)ccc2o1; ['Brc1ccc2c(c1)CCN2', 'Brc1ccc2occc2c1', 'Brc1ccc2c(c1)CCN2', 'Ic1ccc2c(c1)CCN2', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2c(c1)CCN2']; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'Brc1ccc2occc2c1']; [0.9999939203262329, 0.9999898672103882, 0.9998956918716431, 0.9998617172241211, 0.9996339082717896, 0.9980015754699707, 0.9686100482940674]
+Oc1c(Cl)cc(-c2ccc3occc3c2)cc1Cl; ['Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1']; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Oc1c(Cl)cc(Cl)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(Cl)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(I)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(Br)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl']; [0.9998605847358704, 0.9998501539230347, 0.9997766017913818, 0.9997315406799316, 0.9996124505996704, 0.9988089799880981, 0.9984456300735474, 0.997793436050415, 0.9892750978469849, 0.988381028175354, 0.9757886528968811, 0.9756931662559509, 0.9721107482910156, 0.8646581172943115, 0.788528323173523, 0.7654871344566345]
+Oc1cc(-c2ccc3occc3c2)nc2ccnn12; ['Ic1ccc2occc2c1']; ['Oc1ccnc2ccnn12']; [0.9965070486068726]
+c1cc(Nc2ccc3occc3c2)ccn1; ['Nc1ccncc1', 'Nc1ccc2occc2c1', 'Brc1ccncc1', 'Brc1ccc2occc2c1', 'Ic1ccncc1', 'Clc1ccncc1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Nc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Fc1ccc2occc2c1', 'Fc1ccncc1', 'Nc1ccc2occc2c1', 'Nc1ccncc1', 'Nc1ccc2occc2c1']; ['OB(O)c1ccc2occc2c1', 'OB(O)c1ccncc1', 'Nc1ccc2occc2c1', 'Nc1ccncc1', 'Nc1ccc2occc2c1', 'Nc1ccc2occc2c1', 'Nc1ccncc1', 'Nc1ccncc1', 'Oc1ccncc1', 'CC(=O)Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccc2occc2c1', 'Nc1ccncc1', 'Oc1ccc2occc2c1', 'c1cc[n+](-c2ccncc2)cc1']; [0.9999762773513794, 0.9999628067016602, 0.9997451305389404, 0.9995772838592529, 0.999270498752594, 0.9989867210388184, 0.9985376596450806, 0.9977216720581055, 0.9973455667495728, 0.9965541362762451, 0.9963523149490356, 0.9959166049957275, 0.9930535554885864, 0.9921377897262573, 0.9877845048904419]
+Cn1ncc(N)c1-c1ccc2occc2c1; ['Brc1ccc2occc2c1', 'Cn1cc(N)cn1']; ['Cn1cc(N)cn1', 'Ic1ccc2occc2c1']; [0.9843431711196899, 0.7700523734092712]
+O=c1[nH]c2ccc(-c3ccc4occc4c3)cc2[nH]1; ['Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Ic1ccc2occc2c1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'Ic1ccc2occc2c1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'OB(O)c1ccc2occc2c1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccccc2[nH]1']; [0.9999891519546509, 0.9999831914901733, 0.9999819993972778, 0.9999576807022095, 0.9999047517776489, 0.9998925924301147, 0.9998852014541626, 0.9998645782470703, 0.9998458027839661, 0.9994568228721619, 0.9992945790290833, 0.9991520643234253, 0.9968485832214355, 0.9734058976173401, 0.9068692922592163]
+CNC(=O)c1ccc(-c2ccc3occc3c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1ccc2occc2c1', 'CNC(=O)c1ccc(I)cc1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CNC(=O)c1ccc(Br)cc1', 'Brc1ccc2occc2c1']; ['Ic1ccc2occc2c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'OB(O)c1ccc2occc2c1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Clc1ccc2occc2c1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'Ic1ccc2occc2c1', 'CNC(=O)c1ccc(Br)cc1']; [0.9999911785125732, 0.9999876022338867, 0.9999836683273315, 0.9999707341194153, 0.9999672174453735, 0.9999653697013855, 0.9999493360519409, 0.9999048709869385, 0.9998935461044312, 0.9998748898506165, 0.9998406171798706, 0.9996966123580933, 0.997901201248169, 0.9970216751098633, 0.8806775808334351]
+Fc1cc(Br)ccc1-c1ccc2occc2c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Fc1cc(Br)ccc1I', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Ic1ccc2occc2c1', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Fc1cc(Br)ccc1Cl', 'Fc1cc(Br)ccc1Br', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)cc(Br)c1', 'Brc1cccc2occc12', 'Brc1ccc2ccoc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Fc1cccc(Br)c1']; ['Fc1cc(Br)ccc1I', 'OB(O)c1ccc2occc2c1', 'Fc1cc(Br)ccc1Br', 'Ic1ccc2occc2c1', 'OB(O)c1ccc(Br)cc1F', 'Clc1ccc2occc2c1', 'Fc1cc(Br)ccc1Cl', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'OB(O)c1ccc(Br)cc1F', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc(Br)cc1F', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1I', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br', 'OB(O)c1ccc2occc2c1']; [0.9999921321868896, 0.9999901056289673, 0.9999836683273315, 0.9999812245368958, 0.9999217987060547, 0.9999120235443115, 0.9998923540115356, 0.9998055696487427, 0.9998044967651367, 0.9994451999664307, 0.999098539352417, 0.9984017014503479, 0.9960987567901611, 0.9884436130523682, 0.9522572755813599, 0.9464743137359619, 0.9387739896774292, 0.9300805926322937, 0.8703526258468628]
+CN(c1ccc2occc2c1)c1cccc2[nH]ncc12; ['CNc1cccc2[nH]ncc12', 'Brc1ccc2occc2c1']; ['Ic1ccc2occc2c1', 'CNc1cccc2[nH]ncc12']; [0.9866114854812622, 0.9761738777160645]
+Fc1ccc2n[nH]c(-c3ccc4occc4c3)c2c1; ['Fc1ccc2n[nH]cc2c1', 'Brc1ccc2occc2c1', 'Fc1ccc2n[nH]cc2c1']; ['OB(O)c1ccc2occc2c1', 'Fc1ccc2n[nH]cc2c1', 'Ic1ccc2occc2c1']; [0.9999966621398926, 0.9994244575500488, 0.9958245754241943]
+Cc1oc(-c2ccc3occc3c2)cc1C(=O)[O-]; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2ccc3occc3c2)c1; ['OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['Oc1cc(Br)cc(I)c1', 'Oc1cc(Br)cc(I)c1', 'OB(O)c1cc(O)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'Ic1ccc2occc2c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Cl)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'OB(O)c1cc(O)cc(Br)c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C']; [0.9999895691871643, 0.9999786615371704, 0.9999526739120483, 0.9998535513877869, 0.9997749328613281, 0.9997734427452087, 0.999596118927002, 0.9985669851303101, 0.9980475902557373, 0.9940179586410522]
+Cc1cc(-c2ccc3occc3c2)ccc1C(N)=O; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Brc1ccc2occc2c1']; ['Cc1cc(Br)ccc1C(N)=O', 'Ic1ccc2occc2c1', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Clc1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Cc1cc(Br)ccc1C(N)=O']; [0.9999805688858032, 0.9999790191650391, 0.9999788999557495, 0.9999622106552124, 0.9999449253082275, 0.999925971031189, 0.9998996257781982, 0.9145944714546204]
+O=C(NC1CC1)c1ccc(-c2ccc3occc3c2)cc1; ['O=C(NC1CC1)c1ccc(I)cc1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Ic1ccc2occc2c1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Clc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Brc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Ic1ccc2occc2c1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'OB(O)c1ccc2occc2c1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'Clc1ccc2occc2c1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999997615814209, 0.9999995231628418, 0.9999994039535522, 0.9999985694885254, 0.9999983310699463, 0.9999979734420776, 0.999997615814209, 0.9999955296516418, 0.999995231628418, 0.999995231628418, 0.9999876022338867, 0.9999129772186279, 0.9960278868675232]
+Cc1nc2ccc(-c3ccc4occc4c3)cc2o1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Brc1ccc2occc2c1', 'Cc1nc2ccc(Cl)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1']; ['Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Ic1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Cc1nc2ccc(B(O)O)cc2o1', 'OB(O)c1ccc2occc2c1', 'Clc1ccc2occc2c1']; [0.9999920129776001, 0.9999899864196777, 0.9999850988388062, 0.9999833106994629, 0.9999489784240723, 0.9999430179595947, 0.9998776912689209, 0.9998730421066284]
+Cc1cc(-c2ccc3occc3c2)cc(C)c1O; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Brc1ccc2occc2c1']; ['Cc1cc(Br)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Ic1ccc2occc2c1', 'Cc1cc(I)cc(C)c1O', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Cc1cc(B(O)O)cc(C)c1O']; [0.9997552633285522, 0.9997020959854126, 0.9995708465576172, 0.9994267821311951, 0.9993857145309448, 0.9990723133087158, 0.9978336095809937, 0.9942115545272827, 0.9786825180053711, 0.9559425115585327]
+Oc1c(F)cc(-c2ccc3occc3c2)cc1F; ['OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'OB(O)c1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1']; ['Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(Cl)cc1F', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Oc1c(F)cc(I)cc1F', 'Ic1ccc2occc2c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(I)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cccc1F', 'Oc1c(F)cccc1F']; [0.999975860118866, 0.9999535083770752, 0.9999042749404907, 0.9998810291290283, 0.9997916221618652, 0.9997578859329224, 0.9995062351226807, 0.9992907643318176, 0.9986833333969116, 0.9986295104026794, 0.995186984539032, 0.9950359463691711, 0.9827262163162231, 0.7794781923294067, 0.7549217939376831]
+c1ccc2c(COc3ccc4occc4c3)cccc2c1; ['BrCc1cccc2ccccc12', 'ClCc1cccc2ccccc12', 'OCc1cccc2ccccc12', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Fc1ccc2occc2c1']; ['Oc1ccc2occc2c1', 'Oc1ccc2occc2c1', 'Oc1ccc2occc2c1', 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0.9999511241912842, 0.9999319314956665, 0.9994101524353027, 0.9974599480628967, 0.9895530939102173, 0.9819307327270508, 0.9502538442611694]
+Cc1onc(-c2ccccc2)c1-c1ccc2occc2c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Cc1onc(-c2ccccc2)c1I', 'Brc1ccc2occc2c1', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1I']; ['Cc1onc(-c2ccccc2)c1I', 'OB(O)c1ccc2occc2c1', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'c1ccc2occc2c1']; [0.9999892711639404, 0.9999815225601196, 0.9998589754104614, 0.9997984766960144, 0.9966198205947876, 0.8322809338569641]
+Fc1ccc(Oc2ccc3occc3c2)c(F)c1; ['OB(O)c1ccc2occc2c1', 'OB(O)c1ccc(F)cc1F', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Fc1ccc(Br)c(F)c1', 'Clc1ccc2occc2c1', 'Fc1ccc(Cl)c(F)c1', 'Fc1ccc(F)c(F)c1', 'Fc1ccc(I)c(F)c1', 'Fc1ccc2occc2c1', 'O=[N+]([O-])c1ccc(F)cc1F']; ['Oc1ccc(F)cc1F', 'Oc1ccc2occc2c1', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F', 'Oc1ccc2occc2c1', 'Oc1ccc(F)cc1F', 'Oc1ccc2occc2c1', 'Oc1ccc2occc2c1', 'Oc1ccc2occc2c1', 'Oc1ccc(F)cc1F', 'Oc1ccc2occc2c1']; [0.9999986886978149, 0.9998741149902344, 0.9998641610145569, 0.999847948551178, 0.9998073577880859, 0.9997172355651855, 0.9995999336242676, 0.9994425773620605, 0.9992576837539673, 0.9976927042007446, 0.7637985944747925]
+CSc1cccc(-c2ccc3occc3c2)c1; ['CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'Brc1ccc2occc2c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC1(C)OB(c2ccc3occc3c2)OC1(C)C', 'CSc1cccc(Cl)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1', 'Brc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'CSc1cccc([Mg]Br)c1', 'Brc1ccc2occc2c1', 'COc1ccc2occc2c1']; ['CSc1cccc(Br)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'CSc1cccc(Cl)c1', 'OB(O)c1ccc2occc2c1', 'OB(O)c1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Ic1ccc2occc2c1', 'CSc1cccc([Mg]Br)c1', 'CSc1cccc(B(O)O)c1', 'Clc1ccc2occc2c1', 'CSc1cccc(Br)c1', 'CSc1cccc([Mg]Br)c1']; [0.9999957084655762, 0.9999955296516418, 0.999976634979248, 0.9999748468399048, 0.999968945980072, 0.999658465385437, 0.9996030926704407, 0.9971995949745178, 0.9971418380737305, 0.9971100091934204, 0.9970160722732544, 0.9948190450668335, 0.9919804334640503, 0.8553943037986755, 0.800978422164917]
+O=c1[nH][nH]c2cc(-c3ccc4occc4c3)ccc12; [None]; [None]; [0]
+c1ccc2c(CCc3ccc4occc4c3)c[nH]c2c1; ['BrCCc1c[nH]c2ccccc12']; ['Brc1ccc2occc2c1']; [0.8847339153289795]
+Fc1cccc(Cl)c1CNc1ccc2occc2c1; ['NCc1c(F)cccc1Cl', 'Ic1ccc2occc2c1', 'Brc1ccc2occc2c1', 'Fc1cccc(Cl)c1CBr', 'Fc1cccc(Cl)c1CCl', 'NCc1c(F)cccc1Cl', 'Fc1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Nc1ccc2occc2c1', 'Nc1ccc2occc2c1', 'NCc1c(F)cccc1Cl']; ['OB(O)c1ccc2occc2c1', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'Nc1ccc2occc2c1', 'Nc1ccc2occc2c1', 'O=Cc1ccc2occc2c1', 'NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'OCc1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl', 'O=[N+]([O-])c1ccc2occc2c1']; [0.9999975562095642, 0.999813437461853, 0.9989331960678101, 0.9983142614364624, 0.9908590316772461, 0.9900999665260315, 0.975296676158905, 0.971821665763855, 0.9264742136001587, 0.8694757223129272, 0.7867758870124817]
+Fc1ccc(-c2ncoc2-c2ccc3occc3c2)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc(O)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Br)c1', 'Cn1cnc2ccc(Br)cc21', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Cl)c1']; [0.9998941421508789, 0.9997872114181519, 0.9996263384819031, 0.9987469911575317, 0.9938250184059143, 0.9921507835388184, 0.9822481870651245]
+Fc1ccc(COc2ccc3occc3c2)c(F)c1; ['Fc1ccc(CBr)c(F)c1', 'Fc1ccc(CCl)c(F)c1', 'OCc1ccc(F)cc1F', 'Brc1ccc2occc2c1', 'Ic1ccc2occc2c1', 'Clc1ccc2occc2c1', 'Fc1ccc2occc2c1']; ['Oc1ccc2occc2c1', 'Oc1ccc2occc2c1', 'Oc1ccc2occc2c1', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F']; [0.9999750852584839, 0.9999566078186035, 0.9998378753662109, 0.999183177947998, 0.9935216903686523, 0.9614270925521851, 0.9531974196434021]
+Cn1cnc2ccc(-c3cccc4ncccc34)cc21; ['Brc1cccc2ncccc12', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Clc1cccc2ncccc12', 'Brc1cccc2ncccc12', 'Clc1cccc2ncccc12', 'Cn1cnc2ccc(Br)cc21', 'Br[Mg]c1cccc2ncccc12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Cn1cnc2ccc(Br)cc21']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Ic1cccc2ncccc12', 'Cn1cnc2ccc(Br)cc21', 'Ic1cccc2ncccc12', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'OB(O)c1cccc2ncccc12', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccccc21', 'Ic1cccc2ncccc12']; [0.9999960660934448, 0.9999916553497314, 0.9999452829360962, 0.999802827835083, 0.9997337460517883, 0.9996678829193115, 0.9978671073913574, 0.9585186243057251, 0.924968957901001, 0.9200908541679382, 0.8883365392684937]
+Clc1ccc(-c2[nH]ncc2-c2ccc3occc3c2)cc1; ['Brc1ccc2occc2c1', 'Clc1ccc(-c2ccn[nH]2)cc1']; ['Clc1ccc(-c2ccn[nH]2)cc1', 'Clc1ccc2occc2c1']; [0.9462680220603943, 0.9088541269302368]
+Fc1ccc(CCc2ccc3occc3c2)c(F)c1; ['Fc1ccc(CCBr)c(F)c1', 'Brc1ccc2occc2c1', 'Fc1ccc(CCBr)c(F)c1', 'Cc1ccc2occc2c1', 'Brc1ccc2occc2c1', 'BrCc1ccc2occc2c1', 'Cc1ccc2occc2c1']; ['Oc1ccc2occc2c1', 'Fc1ccc(CCBr)c(F)c1', 'Ic1ccc2occc2c1', 'Fc1ccc(CCl)c(F)c1', 'C=Cc1ccc(F)cc1F', 'Cc1ccc(F)cc1F', 'Fc1ccc(CBr)c(F)c1']; [0.9993799924850464, 0.9992234706878662, 0.9973636865615845, 0.9935657978057861, 0.986039400100708, 0.969429612159729, 0.8430980443954468]
+Cn1cnc2ccc(-c3ccc(Cl)c(O)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['Oc1cc(I)ccc1Cl', 'Cn1cnc2ccc(Br)cc21', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl', 'OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(Cl)ccc1Cl']; [0.9999651908874512, 0.9999092817306519, 0.9998740553855896, 0.9998005628585815, 0.9989832639694214, 0.9966976642608643, 0.9904338121414185]
+Cn1cnc2ccc(-c3c(Cl)ccc4c3OCO4)cc21; ['Cn1cnc2ccc(Br)cc21']; ['OB(O)c1c(Cl)ccc2c1OCO2']; [0.9975895881652832]
+CNS(=O)(=O)c1ccc(-c2ccc3ncn(C)c3c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; [0.9997197985649109, 0.9973462820053101, 0.993790864944458, 0.9928508400917053, 0.9819762706756592]
+Cn1cnc2ccc(Oc3ccc(F)cc3)cc21; ['Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9960622787475586, 0.9863226413726807]
+Cn1cnc2ccc(-c3n[nH]c4ccccc34)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Brc1n[nH]c2ccccc12', 'CC(C)(C)OC(=O)n1nc(I)c2ccccc21', 'Clc1n[nH]c2ccccc12', 'Cn1cnc2ccc(B(O)O)cc21', 'Brc1n[nH]c2ccccc12', 'Clc1n[nH]c2ccccc12', 'Cn1cnc2ccc(B(O)O)cc21', 'Clc1n[nH]c2ccccc12']; ['Ic1n[nH]c2ccccc12', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Ic1n[nH]c2ccccc12', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'c1ccc2[nH]ncc2c1', 'Cn1cnc2ccc(Br)cc21']; [0.999998927116394, 0.999993085861206, 0.9999799132347107, 0.9999532103538513, 0.9999358654022217, 0.9987543821334839, 0.9938036203384399, 0.9623592495918274, 0.9065753817558289]
+Cn1cnc2ccc(-c3ccc(C(N)=O)cc3)cc21; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Cn1cnc2ccc(Br)cc21', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(I)cc1']; [0.9999886751174927, 0.9999197721481323, 0.9998503923416138, 0.9998472332954407, 0.9995512962341309, 0.9990798234939575, 0.9973907470703125, 0.9857414960861206, 0.8740929365158081]
+Cn1cnc2ccc(-c3ccc(O)cc3Cl)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21']; ['Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(Br)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'Oc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(O)cc1Cl', 'Cn1cnc2ccc(Br)cc21', 'Oc1ccc(Cl)c(Cl)c1']; [0.9999653697013855, 0.999557375907898, 0.9986597299575806, 0.9962886571884155, 0.9957959055900574, 0.9953498840332031, 0.9334271550178528]
+COc1cc(C(N)=O)ccc1-c1ccc2ncn(C)c2c1; ['COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(C(N)=O)ccc1Br', 'COc1cc(C(N)=O)ccc1Br']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999838471412659, 0.999957799911499, 0.9999382495880127, 0.9381914138793945]
+Cn1cnc2ccc(-c3c(Cl)cccc3Cl)cc21; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Cl', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Fc1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; [0.999998152256012, 0.999992847442627, 0.9999762177467346, 0.999889612197876, 0.9996315240859985, 0.9989624619483948, 0.9944660067558289, 0.9912158846855164, 0.9896972179412842, 0.9871495962142944, 0.9825479984283447, 0.8959963321685791]
+Cn1cnc2ccc(-c3ccc(C(N)=O)cc3F)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; ['NC(=O)c1ccc(Br)c(F)c1', 'Cn1cnc2ccc(Br)cc21', 'NC(=O)c1ccc(Br)c(F)c1', 'NC(=O)c1ccc(Cl)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Cl)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; [0.9999966621398926, 0.9999603033065796, 0.999923825263977, 0.9998554587364197, 0.9993108510971069, 0.9978795051574707, 0.9294270277023315]
+COc1ccc(F)cc1-c1ccc2ncn(C)c2c1; ['COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccccc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999992251396179, 0.9999871253967285, 0.9999663233757019, 0.9997978210449219, 0.9996316432952881, 0.9988957643508911, 0.9417104721069336, 0.8715707063674927]
+Cn1cnc2ccc(-c3ccc(O)cc3F)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Oc1ccc(Br)c(F)c1', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(Br)c(F)c1', 'Cn1cnc2ccc(Br)cc21', 'Oc1ccc(Cl)c(F)c1', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Cl)c(F)c1', 'Oc1ccc(I)c(F)c1']; [0.9999839067459106, 0.9999343752861023, 0.9995028376579285, 0.9993999004364014, 0.9988024234771729, 0.9957678318023682, 0.9957554340362549, 0.9636634588241577, 0.9031773805618286]
+Cc1nc2c(F)cc(-c3ccc4ncn(C)c4c3)cc2[nH]1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccnc(N)n3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1', 'Nc1ncccn1']; [0.9999939203262329, 0.9999873638153076, 0.9998990893363953, 0.999861478805542, 0.9994964599609375, 0.9931226372718811, 0.9718121290206909]
+COC(=O)c1ccc(-c2ccc3ncn(C)c3c2)o1; ['COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(Br)o1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.999993085861206, 0.9999086856842041, 0.9964843988418579, 0.9782266616821289]
+Cn1cnc2ccc(-c3cn[nH]c3Cl)cc21; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc2ncn(C)c2c1; ['COc1cc(F)ccc1Br', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1[Mg]Br']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999977350234985, 0.9999827146530151, 0.9999760389328003, 0.9999748468399048, 0.9998992681503296, 0.9998874664306641, 0.9997999668121338, 0.9995580911636353, 0.9942764043807983, 0.9816861152648926]
+Cn1cnc2ccc(-c3ccc(C(=O)[O-])cc3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21']; ['O=C([O-])c1ccc(Cl)cc1']; [0.943152666091919]
+COc1cc(-c2ccc3ncn(C)c3c2)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Cl)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; [0.9997557401657104, 0.9995026588439941, 0.9994475841522217, 0.9965256452560425, 0.9918228387832642, 0.9812009334564209, 0.9640138149261475, 0.8460976481437683]
+Cn1cnc2ccc(-c3cccc(Br)c3)cc21; ['Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Clc1cccc(Br)c1', 'Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Clc1cccc(Br)c1', 'Cn1cnc2ccc(Br)cc21', 'Brc1cccc(I)c1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'OB(O)c1cccc(Br)c1', 'Cn1cnc2ccc(Br)cc21']; [0.9999918341636658, 0.999971866607666, 0.999849796295166, 0.9994927644729614, 0.9994125366210938, 0.9987022876739502, 0.9880998134613037, 0.9788520336151123, 0.831485390663147]
+Cn1cnc2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)cc21; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc(O)c(F)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['Oc1ccc(Br)cc1F', 'Oc1ccc(I)cc1F', 'Cn1cnc2ccc(Br)cc21', 'Oc1ccc(I)cc1F', 'Oc1ccc(Br)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(Cl)cc1F']; [0.9999667406082153, 0.9999451637268066, 0.9998699426651001, 0.9996263980865479, 0.9994417428970337, 0.9969816207885742, 0.9908183813095093]
+Cn1cnc2ccc(-c3ccc4ccccc4c3)cc21; ['Brc1ccc2ccccc2c1', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Clc1ccc2ccccc2c1', 'Cn1cnc2ccc(B(O)O)cc21', 'Clc1ccc2ccccc2c1', 'Cn1cnc2ccc(Br)cc21', 'Brc1ccc2ccccc2c1', 'Br[Mg]c1ccc2ccccc2c1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Ic1ccc2ccccc2c1', 'O=S(=O)(Oc1ccc2ccccc2c1)C(F)(F)F', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Ic1ccc2ccccc2c1', 'Cn1cnc2ccc(B(O)O)cc21', 'OB(O)c1ccc2ccccc2c1', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999061822891235, 0.9999051094055176, 0.9998785257339478, 0.9998674392700195, 0.999800443649292, 0.9990047216415405, 0.997402548789978, 0.9969151020050049, 0.9913585186004639, 0.8726940155029297]
+Cn1cnc2ccc(-c3ccc(O)cc3O)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['Oc1ccc(Br)c(O)c1', 'Oc1ccc(Br)c(O)c1']; [0.9998306632041931, 0.9953924417495728]
+Cn1cnc2ccc(-c3cn(C)c4ccccc34)cc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; ['Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999877214431763, 0.999126672744751]
+COC(=O)c1ccc(Cl)c(-c2ccc3ncn(C)c3c2)c1; ['COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999995231628418, 0.9999977350234985, 0.9999950528144836, 0.9999942779541016, 0.9999749660491943, 0.9999098777770996, 0.9996474981307983, 0.9992252588272095, 0.9990556240081787, 0.9917243719100952]
+Cn1cnc2ccc(-c3cnn4ncccc34)cc21; ['Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12', 'Brc1cnn2ncccc12']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999995827674866, 0.9999995231628418, 0.9999790191650391, 0.9289500117301941]
+Cn1cnc2ccc(-c3c[nH]c4cnccc34)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Brc1c[nH]c2cnccc12', 'Cn1cnc2ccc(B(O)O)cc21', 'Brc1c[nH]c2cnccc12']; ['Ic1c[nH]c2cnccc12', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Ic1c[nH]c2cnccc12', 'Cn1cnc2ccc(B(O)O)cc21']; [0.999995231628418, 0.9999945163726807, 0.9996421337127686, 0.9987627267837524]
+COc1cc(CCc2ccc3ncn(C)c3c2)ccc1O; [None]; [None]; [0]
+Cn1cnc2ccc(COc3ccccc3Cl)cc21; ['Cn1cnc2ccc(CO)cc21', 'Cn1cnc2ccc(CO)cc21', 'Clc1ccccc1I', 'Clc1ccccc1Br']; ['Oc1ccccc1Cl', 'Fc1ccccc1Cl', 'Cn1cnc2ccc(CO)cc21', 'Cn1cnc2ccc(CO)cc21']; [0.9934279918670654, 0.9064613580703735, 0.7784538269042969, 0.7711286544799805]
+Cn1cnc2ccc(-c3ccnc(N)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Nc1cc(I)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(Cl)ccn1', 'Cn1cnc2ccc(Br)cc21', 'Nc1cc(I)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(Cl)ccn1', 'Nc1cc(B(O)O)ccn1']; [0.9999810457229614, 0.9999552965164185, 0.9998655319213867, 0.999832034111023, 0.999724268913269, 0.995388388633728, 0.9911859631538391, 0.9883981943130493]
+Cn1cnc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)cc21; ['Cn1cnc2ccc(Br)cc21']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.7626808881759644]
+Cc1ccc2[nH]ncc2c1-c1ccc2ncn(C)c2c1; ['Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1Br', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999996423721313, 0.9999969005584717, 0.9999856948852539, 0.9999793767929077, 0.9997066259384155, 0.9896809458732605, 0.883263111114502]
+Cn1cnc2ccc(-c3ccc(F)c(Cl)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Fc1ccc(Br)cc1Cl', 'Cn1cnc2ccc(Br)cc21', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccc(I)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'Fc1ccc([Mg]Br)cc1Cl']; [0.9999994039535522, 0.9999988079071045, 0.9999985694885254, 0.9999855756759644, 0.9999716877937317, 0.9999694228172302, 0.9999598264694214, 0.9992557764053345, 0.9984833002090454, 0.9942412376403809, 0.9853940010070801]
+Cn1cnc2ccc(-c3cnc(O)c(Cl)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['Oc1ncc(I)cc1Cl', 'Cn1cnc2ccc(Br)cc21', 'Oc1ncc(I)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(Cl)cc1Cl', 'Oc1ncccc1Cl']; [0.9999569058418274, 0.9999292492866516, 0.9997567534446716, 0.9997431039810181, 0.9962471723556519, 0.9862661361694336, 0.8628018498420715]
+Cn1cnc2ccc(-c3cc(O)ccc3Cl)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(Br)c1', 'Oc1ccc(Cl)c(Cl)c1', 'Oc1ccc(Cl)c(I)c1', 'Oc1ccc(Cl)c(Br)c1', 'Cn1cnc2ccc(Br)cc21', 'Oc1ccc(Cl)c(Cl)c1', 'OB(O)c1cc(O)ccc1Cl']; [0.9999737739562988, 0.9999405741691589, 0.9995748996734619, 0.999496340751648, 0.9994332790374756, 0.9983755350112915, 0.9922218918800354, 0.9815511107444763]
+Cc1ccc(CO)cc1-c1ccc2ncn(C)c2c1; ['Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1B(O)O', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccccc21']; [0.9999942183494568, 0.9999115467071533, 0.9998987913131714, 0.9996196031570435, 0.9985849261283875, 0.9980030655860901, 0.9897058606147766, 0.9549407958984375, 0.8421196937561035, 0.8086673617362976]
+Cn1cnc2ccc(-c3c[nH]c(C(N)=O)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['NC(=O)c1cc(Br)c[nH]1', 'NC(=O)c1cc(Br)c[nH]1']; [0.999985933303833, 0.9908698201179504]
+COc1cc(OC)cc(-c2ccc3ncn(C)c3c2)c1; ['COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999896883964539, 0.9999741315841675, 0.9999578595161438, 0.9999392628669739, 0.9999352097511292, 0.9997080564498901, 0.9996128678321838, 0.9980398416519165, 0.9979397058486938, 0.981616735458374, 0.944343090057373, 0.8639616966247559]
+COc1ccc(-c2ccc3ncn(C)c3c2)cc1OC; ['COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc(Br)cc1OC']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999310970306396, 0.9999037981033325, 0.9998883008956909, 0.9984375238418579, 0.9970115423202515, 0.9932070970535278, 0.992035984992981, 0.9787946939468384, 0.9056681394577026, 0.8818187713623047, 0.7894169092178345]
+Cc1nc2ccc(-c3ccc4ncn(C)c4c3)cc2[nH]1; ['Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1', 'Cc1nc2ccc(Cl)cc2[nH]1', 'Cc1nc2ccc(Br)cc2[nH]1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999902248382568, 0.9999706745147705, 0.9997986555099487, 0.9992368221282959, 0.9905630350112915, 0.7586400508880615]
+Cn1cnc2ccc(-c3cnc4[nH]ccc4c3)cc21; ['Brc1cnc2[nH]ccc2c1', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Clc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1cnc2[nH]ccc2c1', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Brc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Ic1cnc2[nH]ccc2c1', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Ic1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.999998152256012, 0.9999967217445374, 0.999996542930603, 0.999983549118042, 0.9998502731323242, 0.9996627569198608, 0.9979068040847778, 0.9965039491653442, 0.9473903179168701]
+Cn1cnc2ccc(-c3ccc(NC(N)=O)cc3)cc21; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21']; ['Cn1cnc2ccc(Br)cc21', 'NC(=O)Nc1ccc(Br)cc1', 'NC(=O)Nc1ccc(Br)cc1']; [0.9999397993087769, 0.999130129814148, 0.9988359212875366]
+Cn1cnc2ccc(-c3ccc(S(C)(=O)=O)cc3)cc21; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999947547912598, 0.9999648332595825, 0.999946117401123, 0.9998369216918945, 0.9996484518051147, 0.9992117285728455, 0.9989264011383057, 0.9959959387779236, 0.9483374357223511, 0.8669386506080627]
+CCOc1cccc(-c2ccc3ncn(C)c3c2)c1; ['CCOc1cccc(Br)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc(I)c1', 'CCOc1cccc([Mg]Br)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccccc21', 'Cn1cnc2ccc(Br)cc21']; [0.999941349029541, 0.9997938871383667, 0.9996196627616882, 0.9992814064025879, 0.9987384676933289, 0.9986807107925415, 0.9516980648040771, 0.9353355169296265, 0.8395754098892212, 0.7659886479377747]
+CNC(=O)c1cccc2cc(-c3ccc4ncn(C)c4c3)ccc12; [None]; [None]; [0]
+COc1cc(CCc2ccc3ncn(C)c3c2)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1', 'COc1cc(CCl)cc(OC)c1']; ['Cn1cnc2ccc(Br)cc21', 'Cc1ccc2ncn(C)c2c1']; [0.9855053424835205, 0.8676552772521973]
+Cn1cnc2ccc(-c3cncc(O)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Oc1cncc(I)c1', 'Oc1cncc(Br)c1', 'Cn1cnc2ccc(Br)cc21', 'Oc1cncc(I)c1', 'Oc1cncc(Cl)c1', 'Oc1cncc(Br)c1', 'OB(O)c1cncc(O)c1']; [0.9998794794082642, 0.999860405921936, 0.9998180866241455, 0.9980945587158203, 0.9870972633361816, 0.9862260818481445, 0.9191312789916992]
+Cn1cnc2ccc(-c3ccc4c(c3)CC(=O)N4)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['O=C1Cc2cc(I)ccc2N1', 'Cn1cnc2ccc(Br)cc21', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(Cl)ccc2N1']; [0.9998010993003845, 0.9997536540031433, 0.999642550945282, 0.9975789785385132, 0.9968428611755371, 0.9961463212966919, 0.995482325553894, 0.974585235118866]
+Cn1cnc2ccc(-c3nc4ccccc4s3)cc21; ['Brc1nc2ccccc2s1', 'Cn1cnc2ccc(C=O)cc21', 'Brc1nc2ccccc2s1', 'Cn1cnc2ccc(C=O)cc21', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(C(=O)O)cc21', 'Cn1cnc2ccc(C=O)cc21']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Nc1ccccc1I', 'Cn1cnc2ccc(B(O)O)cc21', 'Nc1ccccc1S', 'Cn1cnc2ccc(Br)cc21', 'c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1']; [0.9999954700469971, 0.9999322891235352, 0.9999265670776367, 0.9994782209396362, 0.9979120492935181, 0.997510552406311, 0.9892614483833313, 0.9689847230911255]
+CNc1nccc(-c2ccc3ncn(C)c3c2)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1', 'CNc1nccc(Br)n1', 'CNc1nccc(Cl)n1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; [0.9999305009841919, 0.9998754858970642, 0.9991787672042847, 0.996930718421936]
+CCc1cc(O)c(F)cc1-c1ccc2ncn(C)c2c1; ['CCc1cc(O)c(F)cc1Br', 'CCc1cc(O)c(F)cc1Br', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1Br']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccccc21']; [0.9999988079071045, 0.9999951124191284, 0.9996725916862488, 0.8989335298538208]
+Cc1n[nH]c2cc(N(C)c3ccc4ncn(C)c4c3)ccc12; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc2ncn(C)c2c1; ['CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Cl', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1Cl', 'CCc1cc(O)ccc1Br']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999725222587585, 0.9998449087142944, 0.9989522695541382, 0.9943376779556274, 0.9941418170928955, 0.8202255964279175]
+Cc1cc(O)ccc1-c1ccc2ncn(C)c2c1; ['Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1I', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1B(O)O']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9995135068893433, 0.9989938735961914, 0.9977678060531616, 0.9949064254760742, 0.9881138801574707, 0.9872803688049316, 0.9614277482032776, 0.9489837884902954]
+Cc1n[nH]c(-c2ccc3ncn(C)c3c2)c1C; ['Cc1c[nH]nc1C', 'Cc1c[nH]nc1C']; ['Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9996868371963501, 0.8643430471420288]
+CN(c1cccc(Cl)c1)c1ccc2ncn(C)c2c1; ['CNc1cccc(Cl)c1', 'CNc1cccc(Cl)c1']; ['Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; [0.9794892072677612, 0.9757500886917114]
+Cn1cnc2ccc(-c3cc(C(F)F)n[nH]3)cc21; ['Cn1cnc2ccc(Br)cc21']; ['FC(F)c1cc[nH]n1']; [0.9196667671203613]
+C[C@H](CC(N)=O)c1ccc2ncn(C)c2c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccncc3Cl)cc21; ['Clc1cnccc1Br', 'Clc1cnccc1I', 'Clc1ccncc1Cl', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Clc1cnccc1I', 'Clc1cnccc1Br', 'Clc1ccncc1Cl', 'Cn1cnc2ccc(Br)cc21', 'Clc1cnccc1I']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'OB(O)c1ccncc1Cl', 'Cn1cnc2ccc(Br)cc21']; [0.9999985694885254, 0.9999985098838806, 0.9999853372573853, 0.9999336004257202, 0.9999297857284546, 0.9999182820320129, 0.9996452331542969, 0.999119758605957, 0.9978532791137695]
+CNc1nc(-c2ccc3ncn(C)c3c2)ncc1F; ['CNc1nc(Cl)ncc1F', 'CNc1nc(Cl)ncc1F']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; [0.9999974966049194, 0.999970555305481]
+Cn1cnc2ccc(-c3cc(Cl)c(O)c(Cl)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'Cn1cnc2ccc(Br)cc21', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cc(Cl)cc1Cl', 'Oc1c(Cl)cc(Br)cc1Cl', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(Cl)cc1Cl']; [0.999591588973999, 0.9991191029548645, 0.9991053342819214, 0.9931280612945557, 0.9905695915222168, 0.9897205829620361, 0.9026602506637573, 0.8480842113494873]
+CCc1sccc1-c1ccc2ncn(C)c2c1; [None]; [None]; [0]
+Cc1oc(-c2ccc3ncn(C)c3c2)cc1C(=O)[O-]; [None]; [None]; [0]
+Cn1cnc2ccc(Nc3ccncc3)cc21; ['Cn1cnc2ccc(N)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(F)cc21', 'Cn1cnc2ccc(N)cc21', 'Brc1ccncc1', 'Cn1cnc2ccc(N)cc21', 'Clc1ccncc1', 'Cn1cnc2ccc(N)cc21', 'Cn1cnc2ccc(N)cc21', 'Cn1cnc2ccc(N)cc21']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Fc1ccncc1', 'Cn1cnc2ccc(N)cc21', 'Oc1ccncc1', 'Cn1cnc2ccc(N)cc21', 'Ic1ccncc1', 'Nc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1']; [0.9999812841415405, 0.9998800754547119, 0.998936653137207, 0.9986028671264648, 0.9971991777420044, 0.9965410232543945, 0.9965214133262634, 0.995238184928894, 0.9942967295646667, 0.9938592314720154, 0.9832835793495178]
+Cn1cnc2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'Cn1cnc2ccc(Br)cc21', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1']; [0.9998730421066284, 0.999805212020874, 0.999577522277832, 0.9988315105438232, 0.9984503984451294, 0.9983067512512207, 0.9958409070968628, 0.9668910503387451]
+Cn1cnc2ccc(-c3cc(O)n4nccc4n3)cc21; ['Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Oc1ccnc2ccnn12', 'Oc1ccnc2ccnn12']; [0.9999217987060547, 0.9957094192504883]
+Cn1cnc2ccc(-c3ccc4c(c3)CCN4)cc21; ['Brc1ccc2c(c1)CCN2', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Clc1ccc2c(c1)CCN2', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Brc1ccc2c(c1)CCN2', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Clc1ccc2c(c1)CCN2', 'Cn1cnc2ccc(Br)cc21', 'Brc1ccc2c(c1)CCN2']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Ic1ccc2c(c1)CCN2', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccccc21', 'Ic1ccc2c(c1)CCN2', 'Cn1cnc2ccc(B(O)O)cc21', 'c1ccc2c(c1)CCN2', 'OB(O)c1ccc2c(c1)CCN2', 'Cn1cnc2ccc(B(O)O)cc21', 'Ic1ccc2c(c1)CCN2', 'Cn1cnc2ccc(Br)cc21']; [0.999992847442627, 0.9999927282333374, 0.9999916553497314, 0.9998997449874878, 0.9998527765274048, 0.999832034111023, 0.9997787475585938, 0.9997198581695557, 0.999528169631958, 0.9985248446464539, 0.9456008076667786, 0.8457970023155212]
+Cn1ncc(N)c1-c1ccc2ncn(C)c2c1; ['Cn1cc(N)cn1']; ['Cn1cnc2ccc(Br)cc21']; [0.9357522130012512]
+CN(c1ccc2ncn(C)c2c1)c1cccc2[nH]ncc12; ['CNc1cccc2[nH]ncc12', 'CNc1cccc2[nH]ncc12']; ['Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(F)cc21']; [0.9950233697891235, 0.9239131212234497]
+Cn1cnc2ccc(-c3[nH]nc4ccc(F)cc34)cc21; ['Cn1cnc2ccc(Br)cc21']; ['Fc1ccc2n[nH]cc2c1']; [0.9653439521789551]
+Cn1cnc2ccc(-c3ccc(Br)cc3F)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br', 'Cn1cnc2ccc(Br)cc21', 'Fc1cc(Br)ccc1Cl', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br']; [0.999998927116394, 0.9999986886978149, 0.9999854564666748, 0.9999443292617798, 0.9995921850204468, 0.9986040592193604, 0.9963833689689636, 0.8831164240837097]
+CNC(=O)c1ccc(-c2ccc3ncn(C)c3c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'CNC(=O)c1ccc(Cl)cc1']; ['Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21']; [0.9999357461929321, 0.9998418092727661, 0.9995743632316589, 0.9984511137008667, 0.9983476996421814, 0.9977837800979614, 0.9971323609352112, 0.9942702054977417]
+Cn1cnc2ccc(-c3cc(O)cc(Br)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Cn1cnc2ccc(Br)cc21']; ['Oc1cc(Br)cc(I)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Cl)cc(Br)c1', 'Cn1cnc2ccc(Br)cc21', 'OB(O)c1cc(O)cc(Br)c1']; [0.9999610185623169, 0.9992587566375732, 0.9992449283599854, 0.9958807826042175, 0.9783916473388672, 0.9742480516433716, 0.962931215763092]
+Cn1cnc2ccc(-c3ccc(C(=O)NC4CC4)cc3)cc21; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Cn1cnc2ccc(Br)cc21', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1', 'Cn1cnc2ccccc21', 'O=C(NC1CC1)c1ccc(I)cc1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [0.9999969005584717, 0.9999749660491943, 0.9999569654464722, 0.9999446868896484, 0.9998530745506287, 0.9995705485343933, 0.9962443113327026, 0.9855997562408447, 0.9239187240600586]
+Cc1cc(-c2ccc3ncn(C)c3c2)ccc1C(N)=O; ['Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; [0.9999744296073914, 0.9999674558639526, 0.9999289512634277, 0.9994359016418457, 0.9974937438964844]
+Cc1cc(-c2ccc3ncn(C)c3c2)cc(C)c1O; ['Cc1cc(I)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; [0.9997832775115967, 0.9986699819564819, 0.9960334897041321, 0.9954471588134766, 0.9786651134490967, 0.9685725569725037]
+Cc1nc2ccc(-c3ccc4ncn(C)c4c3)cc2o1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Cl)cc2o1', 'Cc1nc2ccc(Br)cc2o1']; ['Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999970197677612, 0.9999957084655762, 0.9999830722808838, 0.9999691247940063, 0.9998196959495544, 0.9547876119613647]
+Cn1cnc2ccc(-c3cc(F)c(O)c(F)c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(Br)cc21']; ['Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(I)cc1F', 'Cn1cnc2ccc(Br)cc21', 'Oc1c(F)cc(Cl)cc1F', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(Cl)cc1F', 'OB(O)c1cc(F)c(O)c(F)c1', 'Oc1c(F)cc(Br)cc1F', 'Oc1c(F)cccc1F', 'Oc1c(F)cc(I)cc1F']; [0.9999841451644897, 0.9999809861183167, 0.9998829364776611, 0.99983811378479, 0.9998089075088501, 0.9993702173233032, 0.9973131418228149, 0.9772913455963135, 0.9262861013412476, 0.8711757659912109, 0.8507311344146729]
+CSc1cccc(-c2ccc3ncn(C)c3c2)c1; ['CSc1cccc(Br)c1', 'CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc([Mg]Br)c1']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.999997615814209, 0.9999625086784363, 0.9999362230300903, 0.9991309642791748, 0.9894903898239136, 0.9865293502807617, 0.9642667770385742]
+Cn1cnc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)cc21; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21']; ['O=c1[nH][nH]c2cc(Br)ccc12', 'O=c1[nH][nH]c2cc(Br)ccc12']; [0.9999867677688599, 0.999669075012207]
+Cn1cnc2ccc(Oc3ccc(F)cc3F)cc21; ['Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(F)cc21']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999899864196777, 0.9999132752418518, 0.9981072545051575]
+Cn1cnc2ccc(-c3ocnc3-c3ccc(F)cc3)cc21; ['Cn1cnc2ccc(Br)cc21']; ['Fc1ccc(-c2cocn2)cc1']; [0.9898397922515869]
+Cn1cnc2ccc(NCc3c(F)cccc3Cl)cc21; ['Cn1cnc2ccc(N)cc21', 'Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(N)cc21', 'Cn1cnc2ccc(N)cc21', 'Cn1cnc2ccc(N)cc21', 'Cn1cnc2ccc(F)cc21']; ['Fc1cccc(Cl)c1CBr', 'NCc1c(F)cccc1Cl', 'Fc1cccc(Cl)c1CCl', 'O=Cc1c(F)cccc1Cl', 'OCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.9999596476554871, 0.9994980096817017, 0.9987568855285645, 0.9967671036720276, 0.9961353540420532, 0.9287005662918091]
+Cc1onc(-c2ccccc2)c1-c1ccc2ncn(C)c2c1; ['Cc1onc(-c2ccccc2)c1I', 'Cc1onc(-c2ccccc2)c1I', 'Cc1onc(-c2ccccc2)c1B(O)O']; ['Cn1cnc2ccc(B3OC(C)(C)C(C)(C)O3)cc21', 'Cn1cnc2ccc(B(O)O)cc21', 'Cn1cnc2ccc(Br)cc21']; [0.9999799132347107, 0.9987936019897461, 0.9967032670974731]
+Cn1cnc2ccc(OCc3cccc4ccccc34)cc21; [None]; [None]; [0]
+Cn1cnc2ccc(OCc3ccc(F)cc3F)cc21; ['Cn1cnc2ccc(Br)cc21', 'Cn1cnc2ccc(F)cc21']; ['OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F']; [0.9890804886817932, 0.9164130091667175]
+Cn1cnc2ccc(CCc3c[nH]c4ccccc34)cc21; [None]; [None]; [0]
+CCOc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Cl)cc1', 'CCOc1ccc(B(O)O)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; [1.0, 0.9999951720237732, 0.9999918341636658, 0.999990701675415, 0.9999874234199524, 0.9999638795852661, 0.9999332427978516]
+Cn1cnc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)cc21; ['Clc1ccc(-c2ccn[nH]2)cc1']; ['Cn1cnc2ccc(Br)cc21']; [0.8400907516479492]
+CC(=O)N(C)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(O)cc1', 'CC(=O)N(C)c1ccccc1', 'CC(=O)N(C)c1ccccc1', 'CC(=O)N(C)c1ccccc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; [1.0, 0.9999973177909851, 0.9999731779098511, 0.9980138540267944, 0.9978684186935425, 0.9927901029586792, 0.9802608489990234, 0.9796512126922607, 0.8748267889022827]
+Cn1cnc2ccc(CCc3ccc(F)cc3F)cc21; ['Cn1cnc2ccc(Br)cc21', 'Cc1ccc2ncn(C)c2c1', 'Cc1ccc2ncn(C)c2c1']; ['Fc1ccc(CCBr)c(F)c1', 'Fc1ccc(CCl)c(F)c1', 'Fc1ccc(CBr)c(F)c1']; [0.9995368123054504, 0.9953354597091675, 0.9498833417892456]
+NC(=O)c1cc(F)cc(-c2ncc3ccccc3n2)c1; ['Clc1ncc2ccccc2n1']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9998973608016968]
+COc1cc(-c2cc(F)cc(C(N)=O)c2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999152421951294, 0.9987895488739014, 0.9973798990249634, 0.9952571988105774]
+Cc1ccc2ncn(-c3cc(F)cc(C(N)=O)c3)c2c1; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(F)c1']; [0.9883559942245483, 0.9332878589630127, 0.9127541780471802, 0.8201276063919067]
+NC(=O)c1cc(F)cc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'Clc1cnc2cccnn12']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [1.0, 0.9999966025352478]
+CS(=O)(=O)c1cccc(-c2cc(F)cc(C(N)=O)c2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1ccccc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [1.0, 0.9999997615814209, 0.999997615814209, 0.9999966621398926, 0.9999958276748657, 0.9999905824661255, 0.9997813701629639, 0.9994158744812012, 0.9988011121749878]
+Cc1nc(C(C)(C)O)sc1-c1cc(F)cc(C(N)=O)c1; ['Cc1csc(C(C)(C)O)n1']; ['NC(=O)c1cc(F)cc(Br)c1']; [0.999862551689148]
+COc1ncccc1-c1cc(F)cc(C(N)=O)c1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1I', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1Br', 'COc1ncccc1Cl', 'COc1ncccc1Br', 'COc1ncccc1Cl']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; [0.9999960660934448, 0.9999327659606934, 0.999872624874115, 0.9997529983520508, 0.9996849894523621, 0.9996789693832397, 0.999472975730896, 0.9817531108856201, 0.9625574946403503]
+N#Cc1ccc(O)c(-c2cc(F)cc(C(N)=O)c2)c1; ['N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Br)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.999984622001648, 0.9996839761734009, 0.9996339082717896, 0.9987024068832397, 0.9832886457443237, 0.9819285869598389, 0.8804278373718262]
+COc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(I)cc1', 'COc1ccc(I)cc1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(-c2cc(F)cc(C(=O)O)c2)cc1', None, 'COc1ccc(-c2cc(F)cc(C(=O)O)c2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(Br)cc1', 'COc1ccccc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'O=C(Cl)C(=O)Cl', None, '[NH4+]', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999997615814209, 0.9999576807022095, 0.9999418258666992, 0.9999115467071533, 0.9998980760574341, 0.9998903274536133, 0.9997475743293762, 0, 0.99953293800354, 0.9994536638259888, 0.9993940591812134, 0.9899709820747375, 0.9680979251861572]
+NC(=O)c1cc(F)cc(-c2cccc(O)c2)c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Cl)c1', 'Oc1cccc(Br)c1']; [0.9999709129333496, 0.9997330904006958, 0.9996951222419739, 0.9990352392196655, 0.9988750219345093, 0.997879147529602, 0.9660400152206421]
+NC(=O)c1cc(F)cc(-c2cccc(NC(=O)C3CC3)c2)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['O=C(Nc1cccc(Br)c1)C1CC1', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.9999632239341736, 0.9989696741104126]
+NC(=O)c1cc(F)cc(-c2ccc(N3CCOCC3)cc2)c1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'NC(=O)c1cc(F)cc(Br)c1', 'Clc1ccc(N2CCOCC2)cc1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Brc1ccc(N2CCOCC2)cc1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Clc1ccc(N2CCOCC2)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'NC(=O)c1cc(F)cc(Br)c1', 'c1ccc(N2CCOCC2)cc1', 'NC(=O)c1cccc(F)c1']; [1.0, 0.9999984502792358, 0.9999976754188538, 0.9999958276748657, 0.9999957084655762, 0.9999934434890747, 0.9999929666519165, 0.9999822378158569, 0.9999234676361084, 0.9995714426040649, 0.9895879030227661, 0.884357213973999]
+NC(=O)c1cc(F)cc(-c2nccc3ccccc23)c1; ['Ic1nccc2ccccc12', 'Brc1nccc2ccccc12', 'Clc1nccc2ccccc12']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999761581420898, 0.9999333024024963, 0.9998793601989746]
+NC(=O)c1cc(F)cc(-c2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(Br)cc1']; [0.9999997019767761, 0.9999826550483704, 0.9999760389328003, 0.999955415725708, 0.9999411106109619, 0.9994549751281738, 0.999398410320282, 0.9982474446296692]
+NC(=O)c1cc(F)cc(Nc2ncccn2)c1; ['Ic1ncccn1', 'Clc1ncccn1', 'CSc1ncccn1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'CS(=O)(=O)c1ncccn1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; ['NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'Nc1ncccn1', 'NC(=O)c1cc(N)cc(F)c1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9998741149902344, 0.9996644258499146, 0.9990003108978271, 0.9979006052017212, 0.9967628717422485, 0.9956613779067993, 0.9936656951904297]
+NC(=O)c1cc(F)cc(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2ccc(C(=O)Nc3ccccc3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [1.0, 0.9999818205833435, 0.9999678134918213, 0.9996559619903564, 0.9995185136795044, 0.9980518817901611]
+NC(=O)c1cc(F)cc(-c2cccc(C3CCNCC3)c2)c1; ['Brc1cccc(C2CCNCC2)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999008178710938]
+N#Cc1cccc(Cn2cc(-c3cc(F)cc(C(N)=O)c3)cn2)c1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(F)cc(C(N)=O)c3)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2ccc(C(=O)N3CCOCC3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccccc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 0.9999970197677612, 0.9999957084655762, 0.9999948740005493, 0.9999844431877136, 0.9999802708625793, 0.9999384880065918, 0.9996864795684814, 0.9996525049209595, 0.9992719888687134, 0.9991053342819214, 0.9467301964759827, 0.9220126867294312]
+NC(=O)c1cc(F)cc(-c2ccc(C(=O)N3CCOCC3)cn2)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999998807907104, 0.9999978542327881]
+CNS(=O)(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.999998152256012, 0.9999934434890747, 0.9999579191207886, 0.9999531507492065, 0.9999434947967529, 0.9998905658721924, 0.9569147825241089]
+NC(=O)c1cc(F)cc(-c2ccc(OCCO)cc2)c1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2ccc(C(F)(F)F)cc2)c1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'FC(F)(F)c1ccc(Cl)cc1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'O=C(Cl)C(=O)Cl', None, 'O=C(O)c1cc(F)cc(-c2ccc(C(F)(F)F)cc2)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'O=S(=O)(Oc1ccc(C(F)(F)F)cc1)C(F)(F)F', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'O=C(O)c1cc(F)cc(-c2ccc(C(F)(F)F)cc2)c1', None, '[NH4+]']; [1.0, 0.9999990463256836, 0.9999932050704956, 0.9999908804893494, 0.9999804496765137, 0.9999788999557495, 0.999976634979248, 0.9999655485153198, 0, 0.9998908042907715]
+NC(=O)c1cc(F)cc(-c2ccc3c(c2)CS(=O)(=O)C3)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999974966049194, 0.9935946464538574]
+Cc1nc(C)c(-c2cc(F)cc(C(N)=O)c2)s1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccccc1', 'CN(C)c1ccccc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Cl)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1']; [1.0, 0.9999979734420776, 0.9999858736991882, 0.9999748468399048, 0.9999737739562988, 0.9999688863754272, 0.9999563694000244, 0.9998858571052551, 0.998376727104187, 0.9836611747741699, 0.9405348300933838, 0.9211829900741577, 0.8668032884597778, 0.8209704160690308]
+CS(=O)(=O)N1CCC(c2cc(F)cc(C(N)=O)c2)CC1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(Cc2ccccc2O)c1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999052286148071, 0.9998105764389038, 0.9997368454933167, 0.9997143745422363, 0.9771190881729126]
+CC(C)c1cc(-c2cc(F)cc(C(N)=O)c2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1ccnc(N)n1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.99934983253479, 0.9987618923187256, 0.9986536502838135]
+NC(=O)c1cc(F)cc(Cc2cnc(N)nc2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2ccc(Br)cc2)c1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1ccc(I)cc1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'Brc1ccc(Br)cc1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'O=S(=O)(Oc1ccc(Br)cc1)C(F)(F)F', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccc(Br)cc1']; [0.9999974966049194, 0.9999918937683105, 0.999946117401123, 0.9989052414894104, 0.9977558255195618]
+CC(=O)N1CCCN(c2cccc(-c3cc(F)cc(C(N)=O)c3)c2)CC1; [None]; [None]; [0]
+COc1ccc(Cc2cc(F)cc(C(N)=O)c2)cc1; ['COc1ccc(CBr)cc1', 'COc1ccc(CCl)cc1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cccc(F)c1']; [0.8805605173110962, 0.792071521282196]
+NC(=O)c1cc(F)cc(-c2ccn3nccc3n2)c1; ['Ic1ccn2nccc2n1', 'Clc1ccn2nccc2n1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [1.0, 0.9999906420707703]
+CCN(CC)C(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1']; [1.0, 0.9999971985816956, 0.9999963045120239, 0.9999945163726807, 0.9999879598617554, 0.9999728202819824, 0.9997696876525879, 0.9996236562728882, 0.9989911317825317, 0.9467520713806152, 0.8887780904769897]
+NC(=O)c1cc(F)cc([C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
+CCCOc1ccc(-c2cc(F)cc(C(N)=O)c2)nc1; ['CCCOc1ccc(Br)nc1', 'CCCOc1ccc(Br)nc1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999960660934448, 0.999930739402771]
+CN(C)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl', 'CN(C)c1ccccc1Cl', 'CN(C)c1ccccc1Cl']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(N)cc(F)c1']; [1.0, 0.9999990463256836, 0.9999904632568359, 0.9991690516471863, 0.9951711893081665, 0.9861257672309875, 0.9746406078338623, 0.8897796869277954, 0.8389041423797607]
+CNS(=O)(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999989867210388, 0.9999914169311523, 0.9999793171882629, 0.9996689558029175, 0.9995628595352173, 0.9906471967697144]
+Cc1c(C(=O)[O-])cccc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc(F)cc(C(N)=O)c1; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1O', 'COc1ccc(Cl)cc1Cl']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999088048934937, 0.9996826648712158, 0.9993594884872437, 0.9992724657058716, 0.9970732927322388, 0.9950292110443115, 0.9913694262504578]
+NC(=O)c1cc(F)cc(-c2ccccc2-n2cccn2)c1; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Brc1ccccc1-n1cccn1', 'Clc1ccccc1-n1cccn1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'Brc1ccccc1-n1cccn1', 'NC(=O)c1cc(F)cc(Br)c1', 'Brc1ccccc1-n1cccn1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cccc(F)c1', 'Clc1ccccc1-n1cccn1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'c1ccc(-n2cccn2)cc1', 'NC(=O)c1cc(F)cc(Br)c1', 'c1ccc(-n2cccn2)cc1', 'NC(=O)c1cccc(F)c1', 'c1ccc(-n2cccn2)cc1', 'OB(O)c1ccccc1-n1cccn1', 'NC(=O)c1cccc(F)c1']; [0.9999994039535522, 0.9999896883964539, 0.9999785423278809, 0.999847412109375, 0.9997603893280029, 0.999507486820221, 0.9982389211654663, 0.9963643550872803, 0.9783756732940674, 0.9766550064086914, 0.9759033918380737, 0.9501550197601318, 0.8284533023834229]
+COc1cc(OC)c(-c2cc(F)cc(C(N)=O)c2)cc1Cl; ['COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Br)cc1Cl']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9964447021484375, 0.8701376914978027]
+COc1cc(-c2cc(F)cc(C(N)=O)c2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Cl)ccc1O']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999963045120239, 0.999908447265625, 0.9995026588439941, 0.999401867389679, 0.9981293678283691, 0.9895490407943726]
+NC(=O)c1cc(F)cc(-c2ccc3c(c2)CCO3)c1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'NC(=O)c1cc(F)cc(Br)c1', 'Brc1ccc2c(c1)CCO2', 'NC(=O)c1cc(F)cc(Cl)c1', 'Clc1ccc2c(c1)CCO2', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'Brc1ccc2c(c1)CCO2', 'Br[Mg]c1ccc2c(c1)CCO2', 'Clc1ccc2c(c1)CCO2', 'Br[Mg]c1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'OB(O)c1ccc2c(c1)CCO2', 'NC(=O)c1cc(F)cc(Cl)c1', 'OB(O)c1ccc2c(c1)CCO2', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'Oc1ccc2c(c1)CCO2', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(F)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1', 'c1ccc2c(c1)CCO2', 'c1ccc2c(c1)CCO2']; [0.9999991655349731, 0.999998927116394, 0.9999974966049194, 0.9999859929084778, 0.9999810457229614, 0.9999765157699585, 0.9999394416809082, 0.9999302625656128, 0.9997783303260803, 0.9996697902679443, 0.9994384050369263, 0.9987022876739502, 0.9967808723449707, 0.995342493057251, 0.9902504682540894, 0.9376790523529053, 0.7960843443870544, 0.7832448482513428]
+CC(=O)Nc1cccc(-c2cc(F)cc(C(N)=O)c2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; [0.9999954104423523, 0.9999570846557617, 0.9998966455459595, 0.9998242855072021, 0.9994807839393616, 0.9993206262588501, 0.99382084608078, 0.9832322597503662]
+NC(=O)c1cc(F)cc(-c2cccc3c2OCO3)c1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Ic1cccc2c1OCO2', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Brc1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'NC(=O)c1cccc(F)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1', 'Nc1cccc2c1OCO2']; [0.9999953508377075, 0.9999879598617554, 0.9999574422836304, 0.9999244213104248, 0.999909520149231, 0.9998496770858765, 0.9987424612045288, 0.983988344669342, 0.9827834367752075, 0.8916446566581726, 0.7748810648918152]
+CC(C)c1ccc2nc(-c3cc(F)cc(C(N)=O)c3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2c[nH]c3ccccc23)c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'Clc1c[nH]c2ccccc12', 'NC(=O)c1cc(F)cc(Br)c1', 'Ic1c[nH]c2ccccc12', 'NC(=O)c1cc(F)cc(Cl)c1', 'Brc1c[nH]c2ccccc12']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cccc(F)c1', 'OB(O)c1c[nH]c2ccccc12', 'c1ccc2[nH]ccc2c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1c[nH]c2ccccc12', 'NC(=O)c1cc(F)cc(Br)c1', 'c1ccc2[nH]ccc2c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.999408483505249, 0.9982719421386719, 0.9980117082595825, 0.9976077675819397, 0.9935898780822754, 0.9829695224761963, 0.9815753698348999, 0.9621200561523438, 0.9316779971122742, 0.9076945781707764, 0.7993417978286743, 0.7543247938156128]
+NC(=O)c1cc(F)cc(-c2scc3c2OCCO3)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [1.0, 0.9999961256980896, 0.9999889135360718, 0.9999865293502808, 0.9999724626541138]
+NC(=O)c1cc(F)cc(-c2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cnc3ccccc3c2)c1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Ic1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Brc1cnc2ccccc2c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Brc1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cnc2ccccc2c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cnc2ccccc2c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; [0.9999988079071045, 0.9999908804893494, 0.9998934268951416, 0.9998469948768616, 0.9998246431350708, 0.9995501637458801, 0.9988887310028076, 0.994175910949707, 0.9825369119644165]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(I)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; [1.0, 0.999998927116394, 0.9999982118606567, 0.9999901056289673, 0.99997878074646, 0.9998534917831421, 0.999817967414856, 0.9968791604042053, 0.9479775428771973]
+CC(C)(C)c1ccc(-c2cc(F)cc(C(N)=O)c2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; [1.0, 0.9999358654022217, 0.999926745891571, 0.9999006986618042, 0.9989333748817444, 0.9884861707687378]
+NC(=O)c1cc(F)cc(-c2csc(N)n2)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1']; ['Nc1nc(Cl)cs1']; [0.9999510049819946]
+Cc1ccc(-c2cc(F)cc(C(N)=O)c2)c(=O)[nH]1; ['Cc1ccc(I)c(=O)[nH]1']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9998769760131836]
+NC(=O)c1cc(F)cc(CCCc2ccccc2)c1; ['Br[Zn]CCCc1ccccc1', 'C=CCc1ccccc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.947421669960022, 0.9448135495185852]
+COc1cccc(C(=O)Nc2cc(F)cc(C(N)=O)c2)c1; [None, 'COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1']; [None, 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1']; [0, 0.9999227523803711, 0.9998167753219604]
+NC(=O)c1cc(F)cc(Cc2nc3c(F)c(F)ccc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(Cc2nc3ccc(F)c(F)c3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(Cc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2ccn(-c3cccc(Cl)c3)n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Cl)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.999998927116394, 0.9999876022338867, 0.9999613761901855, 0.9999043941497803, 0.9998993873596191, 0.9998620748519897, 0.9998130798339844, 0.9639254808425903]
+NC(=O)c1cc(F)cc(-c2cc3ccccc3s2)c1; ['Ic1cc2ccccc2s1', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'Brc1cc2ccccc2s1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Brc1cc2ccccc2s1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'c1ccc2sccc2c1', 'c1ccc2sccc2c1', 'OB(O)c1cc2ccccc2s1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999829530715942, 0.9999712705612183, 0.9999364614486694, 0.9999184608459473, 0.9998613595962524, 0.9995802640914917, 0.9967411756515503]
+Cc1cc(-c2cc(F)cc(C(N)=O)c2)nc(N)n1; ['Cc1cc(Br)nc(N)n1', 'Cc1cc(Cl)nc(N)n1', 'Cc1cc(Cl)nc(N)n1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999188184738159, 0.999907374382019, 0.9992931485176086]
+CCN1CCN(Cc2ccc(-c3cc(F)cc(C(N)=O)c3)cc2)CC1; ['CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; [0.9999970197677612, 0.9999915361404419, 0.9999642372131348]
+NC(=O)c1cc(F)cc(-c2ccc(F)cc2Cl)c1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Fc1ccc(Cl)c(Cl)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999976754188538, 0.9999889135360718, 0.9999393820762634, 0.9999189376831055, 0.9985260963439941, 0.992409348487854]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(F)cc(C(N)=O)c2)CC1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2ncc(Br)cn2)c1; ['Brc1cnc(I)nc1', 'Clc1ncc(Br)cn1', 'Brc1cnc(Br)nc1', 'CSc1ncc(Br)cn1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9998851418495178, 0.9997315406799316, 0.9979866147041321, 0.96467125415802]
+CCc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Cl)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999995231628418, 0.9999439716339111, 0.9999255537986755, 0.9999213218688965, 0.9998614192008972, 0.9992880821228027, 0.998980700969696, 0.9971922636032104]
+COc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Cl)cc1OC']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999991655349731, 0.9999663233757019, 0.999954342842102, 0.9999539852142334, 0.9998847246170044, 0.9992457628250122, 0.998611330986023]
+NC(=O)c1cc(F)cc(-c2ccc(Cl)cc2Cl)c1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Clc1ccc(I)c(Cl)c1', 'Clc1ccc(Br)c(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9999927282333374, 0.9999260902404785, 0.9998906850814819, 0.9992939829826355]
+NC(=O)c1cc(F)cc(-c2ccc3c(c2)CCC(=O)N3)c1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'O=C1CCc2cc(Br)ccc2N1', 'NC(=O)c1cc(F)cc(Cl)c1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999940395355225, 0.9999699592590332, 0.9999495148658752, 0.9999082088470459, 0.9985979795455933, 0.9954710006713867, 0.989998459815979, 0.8554611802101135]
+COc1cc(-c2cc(F)cc(C(N)=O)c2)ccc1N1CCOCC1; ['COc1cc(Br)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1ccccc1N1CCOCC1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; [0.9999982118606567, 0.999994158744812, 0.9999853372573853, 0.9995391964912415, 0.8780277967453003]
+NC(=O)c1cc(F)cc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cc3ccccn3n2)c1; ['Clc1cc2ccccn2n1', 'Brc1cc2ccccn2n1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999173879623413, 0.9998837113380432]
+NC(=O)c1cc(F)cc([C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
+Cn1cc(-c2cc(F)cc(C(N)=O)c2)c(C(F)(F)F)n1; ['Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1ccc(C(F)(F)F)n1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999997615814209, 0.9999983310699463, 0.9999687671661377, 0.9999222159385681, 0.9971603155136108]
+COc1ccc2cccc(-c3cc(F)cc(C(N)=O)c3)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999381303787231]
+NC(=O)c1cc(F)cc(-c2cccc3ccc(O)cc23)c1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'Oc1ccc2cccc(I)c2c1', 'Oc1ccc2cccc(Br)c2c1', 'Oc1ccc2cccc(Cl)c2c1', 'Oc1ccc2cccc(Br)c2c1']; [0.9999446272850037, 0.9998674392700195, 0.9996691942214966, 0.9887392520904541, 0.913177490234375]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; [None]; [None]; [0]
+CC[C@@H](CO)c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cc(F)cc(C(N)=O)c2)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999959468841553, 0.9996935129165649, 0.9987349510192871, 0.9887608289718628]
+COc1cc(-c2cc(F)cc(C(N)=O)c2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Cl)ccc1Cl']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [1.0, 0.9999938011169434, 0.9999876022338867, 0.9999743700027466, 0.9995698928833008, 0.986513614654541]
+NC(=O)c1cc(F)cc(CCCn2cncn2)c1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cc(F)cc(C(N)=O)c3)ccc2O1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2ncc(Cl)cn2)c1; ['Clc1cnc(Br)nc1', 'Clc1cnc(Cl)nc1', 'CSc1ncc(Cl)cn1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9987661838531494, 0.9980621933937073, 0.9521335959434509]
+Cc1csc2c(-c3cc(F)cc(C(N)=O)c3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9990280866622925]
+CNC(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [1.0, 0.9999967217445374, 0.9999889135360718, 0.9999759197235107, 0.9999649524688721]
+CCNC(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)nc1; ['CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc(Cl)nc1', 'CCNC(=O)c1ccc(Cl)nc1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999997019767761, 0.9999880790710449, 0.9999854564666748]
+NC(=O)c1cc(F)cc(-c2cc(N)nc3[nH]ccc23)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Cl)c2cc[nH]c2n1', 'Nc1cc(Br)c2cc[nH]c2n1']; [0.9999616146087646, 0.9997265934944153, 0.8137220144271851]
+NC(=O)c1cc(F)cc(-c2cnn(CCO)c2)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['OCCn1cc(I)cn1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1']; [0.9999887943267822, 0.9999779462814331, 0.9999541640281677, 0.9999456405639648, 0.9999408721923828, 0.9994853734970093, 0.9974597692489624]
+COc1cc(-c2cc(F)cc(C(N)=O)c2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9996441602706909, 0.9945759773254395, 0.9589965343475342, 0.9306824207305908, 0.7940375804901123]
+COc1cc(OC)cc(-c2cc(F)cc(C(N)=O)c2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999444484710693, 0.9993020296096802, 0.9988380074501038, 0.9987033605575562]
+COc1ccc2oc(-c3cc(F)cc(C(N)=O)c3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1']; ['NC(=O)c1cc(F)cc(Br)c1']; [0.9967883229255676]
+COc1ccc(OC)c(Cc2cc(F)cc(C(N)=O)c2)c1; ['COc1ccc(OC)c(CBr)c1', 'COc1ccc(OC)c(CCl)c1', 'COc1ccc(OC)c(CBr)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1']; [0.9993908405303955, 0.8353615999221802, 0.8116432428359985]
+NC(=O)c1cc(F)cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cc(F)cc(C(N)=O)c2)CC1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2ccc3cn[nH]c3c2)c1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1', 'Ic1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Clc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1']; [0.9999997615814209, 0.9999980926513672, 0.9999967813491821, 0.9999963641166687, 0.9999922513961792, 0.9999841451644897, 0.9999301433563232, 0.9998957514762878, 0.9998610019683838, 0.999680757522583, 0.9938637614250183, 0.9633301496505737]
+CCn1cc(-c2cc(F)cc(C(N)=O)c2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(Br)cn1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999988079071045, 0.9999860525131226, 0.9998865127563477, 0.9997545480728149, 0.9995878338813782, 0.9992808103561401, 0.9740630388259888]
+COc1cc(CS(C)(=O)=O)ccc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cc(F)cc(C(N)=O)c1)cn2C; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc(F)cc(C(N)=O)c2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.999869704246521, 0.8817625045776367]
+CO[C@@H]1CC[C@@H](c2cc(F)cc(C(N)=O)c2)CC1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cc3ccccc3o2)c1; ['Brc1cc2ccccc2o1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1']; [0.9999108910560608, 0.9994072318077087, 0.9988980293273926, 0.9983941316604614]
+NC(=O)c1cc(F)cc(-c2ncc3sccc3n2)c1; ['Clc1ncc2sccc2n1']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999231100082397]
+CC(C)c1nn(C)cc1-c1cc(F)cc(C(N)=O)c1; ['CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1Br', 'CC(C)c1ccn(C)n1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999920129776001, 0.999991774559021, 0.9999719858169556, 0.9999581575393677, 0.9983235597610474]
+NC(=O)c1cc(F)cc(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
+COc1ccc2nc(-c3cc(F)cc(C(N)=O)c3)[nH]c2c1; ['COc1ccc2nc(Cl)[nH]c2c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9986770153045654]
+NC(=O)c1cc(F)cc(-c2ccc(OC(F)(F)F)cc2)c1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'NC(=O)c1cc(F)cc(Br)c1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'NC(=O)c1cc(F)cc(Cl)c1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'NC(=O)c1cc(F)cc(Br)c1']; [1.0, 0.9999996423721313, 0.9999991655349731, 0.9999990463256836, 0.9999988079071045, 0.9999951720237732, 0.9999940991401672, 0.9999491572380066]
+C[NH+](C)Cc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cc(F)cc(C(N)=O)c2)c1; [None, 'COc1ccc(F)c(C(=O)O)c1', 'COc1ccc(F)c(Br)c1', 'COC(=O)c1cc(OC)ccc1F']; [None, 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1']; [0, 0.9999186992645264, 0.9989138841629028, 0.9961103796958923]
+NC(=O)c1cc(F)cc(-c2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
+CCc1cccc(-c2cc(F)cc(C(N)=O)c2)n1; ['CCc1cccc(Br)n1', 'CCc1cccc(Br)n1', 'CCc1ccccn1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999573826789856, 0.9935252666473389, 0.9862393140792847]
+Cn1cc(-c2cc(F)cc(C(N)=O)c2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21', 'Cn1ccc2ccccc21']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; [0.9999769926071167, 0.9998242855072021, 0.9974493384361267, 0.9836536645889282]
+Cn1ncc2cc(-c3cc(F)cc(C(N)=O)c3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Cl)ccc21']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [1.0, 0.9999997615814209, 0.9999996423721313, 0.9999995231628418, 0.9999983906745911, 0.9999954700469971, 0.9999607801437378]
+Cn1cc(Br)cc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2ncn3c2CCCC3)c1; [None]; [None]; [0]
+Cc1cc(-c2cc(F)cc(C(N)=O)c2)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cc(F)cc(C(N)=O)c3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2ccccc12', 'Cc1n[nH]c2ccccc12']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [1.0, 0.9999997019767761, 0.9999992847442627, 0.9999991655349731, 0.9999964833259583, 0.9999850988388062, 0.9999839067459106, 0.9991652965545654, 0.9945086240768433, 0.9208540916442871, 0.9064012169837952]
+CC(C)(O)c1ccc2cc(-c3cc(F)cc(C(N)=O)c3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(NC(=O)c2cccc(OC(F)(F)F)c2)c1; [None, 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1']; [None, 'O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1']; [0, 0.9999963641166687, 0.9999912977218628]
+CC(=O)N1CCC(n2cc(-c3cc(F)cc(C(N)=O)c3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; [0.9999973773956299, 0.9999945163726807]
+Cn1nc(Cl)c2cc(-c3cc(F)cc(C(N)=O)c3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(F)cc(C(N)=O)c2)cn1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cccc(N3CCCC3=O)c2)c1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'O=C1CCCN1c1cccc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'O=C1CCCN1c1cccc(Cl)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.999997615814209, 0.9999727010726929, 0.9999717473983765, 0.9994303584098816, 0.9993349313735962]
+Cc1ncc(-c2ccc(-c3cc(F)cc(C(N)=O)c3)cc2)n1C; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)c(Cl)c1; ['CN(C)C(=O)c1cccc(Cl)c1']; ['NC(=O)c1cc(F)cc(Br)c1']; [0.8579260110855103]
+NC(=O)c1cc(F)cc(-c2ccc(CCO)cc2)c1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Cl)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccccc1', 'OCCc1ccccc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Br)cc1']; [0.999998927116394, 0.9999805688858032, 0.9999270439147949, 0.9998987913131714, 0.9997406005859375, 0.9996185302734375, 0.9992084503173828, 0.9986127018928528, 0.9927725791931152, 0.8653583526611328, 0.8389225006103516, 0.7823448181152344, 0.7520386576652527]
+COc1cc(S(C)(=O)=O)ccc1-c1cc(F)cc(C(N)=O)c1; ['COc1cc(S(C)(=O)=O)ccc1Br', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999697208404541, 0.9887096881866455]
+CNC(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999641180038452, 0.9999128580093384]
+COc1cc(-c2cnn(C)c2)ccc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999868869781494, 0.9999814033508301, 0.9999784231185913]
+COc1cc(N2CCNCC2)ccc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999974370002747, 0.9999963045120239]
+CS(=O)(=O)c1ccc(Cl)c(-c2cc(F)cc(C(N)=O)c2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Cl)c1', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9998716115951538, 0.9943091869354248, 0.8162301182746887]
+CCNC(=O)Cc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1', 'CCNC(=O)Cc1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999858736991882, 0.999698281288147]
+CNC(=O)c1ccccc1-c1cc(F)cc(C(N)=O)c1; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1B(O)O']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999833106994629, 0.9999390244483948]
+CCOc1ccccc1-c1cc(F)cc(C(N)=O)c1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1O', 'CCOc1ccccc1Cl', 'CCOc1ccccc1Br']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999975562095642, 0.9999064207077026, 0.9998673796653748, 0.9991474151611328, 0.9989573359489441, 0.9935485124588013, 0.9883770942687988]
+Cn1nc(-c2cc(F)cc(C(N)=O)c2)cc1C(C)(C)O; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cc(F)cc(C(N)=O)c2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+COC(C)(C)CCc1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cc(F)cc(C(N)=O)c2)[nH]1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cccc(C(F)(F)F)c2)c1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'O=C(Cl)C(=O)Cl', 'FC(F)(F)c1cccc(I)c1', None, 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'O=C(O)c1cc(F)cc(-c2cccc(C(F)(F)F)c2)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'O=C(O)c1cc(F)cc(-c2cccc(C(F)(F)F)c2)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', None, 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'O=S(=O)(Oc1cccc(C(F)(F)F)c1)C(F)(F)F', '[NH4+]', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999994039535522, 0.9999796748161316, 0.9999538660049438, 0, 0.9999094009399414, 0.9999080896377563, 0.9998518824577332, 0.9998390674591064, 0.9997944235801697, 0.999759316444397]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(F)cc(C(N)=O)c1; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1', 'CC(C)S(=O)(=O)c1ccccc1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999256730079651, 0.9999122619628906, 0.9998021125793457, 0.9639016389846802, 0.918914258480072, 0.8427048921585083]
+NC(=O)c1cc(F)cc(-c2ccnc3ccccc23)c1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'Ic1ccnc2ccccc12', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Brc1ccnc2ccccc12', 'Brc1ccnc2ccccc12']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; [0.9999096393585205, 0.9998009204864502, 0.9997913837432861, 0.9991203546524048, 0.9989273548126221, 0.9889479875564575, 0.9854110479354858, 0.9473409652709961, 0.9060472249984741]
+NC(=O)c1cc(F)cc(-c2ccccc2OC(F)(F)F)c1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'NC(=O)c1cc(F)cc(Br)c1', None, 'O=C(O)c1cc(F)cc(-c2ccccc2OC(F)(F)F)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'FC(F)(F)Oc1ccccc1Cl']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccccc1OC(F)(F)F', None, '[NH4+]', 'OB(O)c1ccccc1OC(F)(F)F', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999887347221375, 0.9999068975448608, 0.9998512268066406, 0.9997694492340088, 0, 0.9989235401153564, 0.9986299276351929, 0.9894837737083435]
+Cn1cnc2ccc(-c3cc(F)cc(C(N)=O)c3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999933242797852]
+NC(=O)c1cc(F)cc(Cc2cc(F)cc(F)c2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cnn(Cc3ccccc3)c2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Ic1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Brc1cnn(Cc2ccccc2)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999964237213135, 0.9999881982803345, 0.9999867677688599, 0.9999071955680847, 0.999873161315918, 0.9996718168258667]
+NC(=O)c1cc(F)cc(-c2ccccc2C(N)=O)c1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1ccccc1I', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Cl']; [0.999987006187439, 0.9999403357505798, 0.9998995065689087, 0.9993422627449036, 0.9990530014038086, 0.9975160360336304, 0.9966567754745483, 0.9941658973693848]
+NC(=O)c1cc(F)cc(-c2ccccc2C(=O)[O-])c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cccc(NC(=O)c3ccccc3)c2)c1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.999998927116394, 0.9999465942382812]
+COc1cnc(-c2cc(F)cc(C(N)=O)c2)nc1; ['COc1cnc(Br)nc1', 'COc1cnc(Cl)nc1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9982300996780396, 0.9973554611206055]
+NC(=O)c1cc(F)cc(-c2cc(Cl)ccc2Cl)c1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(I)c1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'NC(=O)c1cc(F)cc(Br)c1', 'Clc1ccc(Cl)c(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)c(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cccc(F)c1']; [0.999890923500061, 0.9998270273208618, 0.9994012713432312, 0.9991742372512817, 0.9967670440673828, 0.9959762096405029, 0.9892765283584595, 0.9511882066726685, 0.8138303756713867, 0.7517920136451721]
+Cc1nc2ccccn2c1-c1cc(F)cc(C(N)=O)c1; ['Cc1nc2ccccn2c1I']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9998914003372192]
+NC(=O)c1cc(F)cc(-c2cnc3ccccn23)c1; ['Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Brc1cnc2ccccn12']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [1.0, 0.9999954700469971, 0.9999887943267822]
+Cc1ccc(-c2cc(F)cc(C(N)=O)c2)c(Br)c1; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(Cl)c(Br)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.996506929397583, 0.9273099899291992, 0.914960503578186, 0.8812276124954224]
+NC(=O)c1cc(F)cc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cc(F)cc(C(N)=O)c1; ['Cc1nc(N)sc1I', 'Cc1nc(N)sc1Br', 'Cc1csc(N)n1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999977350234985, 0.9999964833259583, 0.9969428777694702]
+CC(C)(C)c1nc(-c2cc(F)cc(C(N)=O)c2)cs1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc(F)cc(C(N)=O)c2)s1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-n2ncc3cccc(F)c3c2=O)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2c(Cl)cccc2Cl)c1; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1I', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9997463226318359, 0.9993407726287842, 0.9988222122192383, 0.9977630972862244, 0.9923967123031616, 0.9828194379806519, 0.980146050453186, 0.9159095883369446, 0.8696002960205078]
+NC(=O)c1cc(F)cc(-c2cccc(Cn3cncn3)c2)c1; ['NC(=O)c1cc(F)cc(Cl)c1']; ['c1ccc(Cn2cncn2)cc1']; [0.9939852952957153]
+NC(=O)c1cc(F)cc(-c2cccc(Br)c2)c1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(I)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1', 'Clc1cccc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Brc1cccc(I)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cccc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cccc(Br)c1', 'NC(=O)c1cccc(F)c1']; [0.9999814629554749, 0.9999053478240967, 0.9993929266929626, 0.9971002340316772, 0.9965977668762207, 0.9965327978134155, 0.9962906837463379, 0.8690186142921448]
+Cc1ccc(Cl)c(-c2cc(F)cc(C(N)=O)c2)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(O)c1', 'Cc1ccc(Cl)c(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999552965164185, 0.9996029734611511, 0.9994292259216309, 0.9993162155151367, 0.9987901449203491, 0.9953196048736572, 0.9936069846153259, 0.8492954969406128, 0.786913275718689]
+NC(=O)c1cc(F)cc(NCc2cccnc2)c1; ['BrCc1cccnc1', 'ClCc1cccnc1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc([N+](=O)[O-])c1', 'NC(=O)c1cc(F)cc(F)c1']; ['NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NCc1cccnc1', 'OCc1cccnc1', 'O=Cc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'O=Cc1cccnc1', 'NCc1cccnc1']; [0.9995254278182983, 0.9994981288909912, 0.9993002414703369, 0.9945952296257019, 0.992449164390564, 0.9882227778434753, 0.9831479787826538, 0.9729496836662292, 0.9317155480384827]
+NC(=O)c1cc(F)cc(-c2ccnc(N)n2)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; ['Nc1nccc(Br)n1', 'Nc1nccc(I)n1', 'Nc1nccc(Cl)n1']; [0.9999986290931702, 0.9999954700469971, 0.9999904632568359]
+Cc1c(-c2cc(F)cc(C(N)=O)c2)sc(=O)n1C; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(NC(=O)c2cccs2)c1; ['NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9999740123748779, 0.9996510744094849]
+NC(=O)c1cc(F)cc(-c2ccc3ccccc3c2)c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Ic1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Clc1ccc2ccccc2c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccc2ccccc2c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'O=S(=O)(Oc1ccc2ccccc2c1)C(F)(F)F', 'OB(O)c1ccc2ccccc2c1']; [0.9999989867210388, 0.9999042749404907, 0.9998857975006104, 0.9998472929000854, 0.999660849571228, 0.9996311664581299, 0.9994521141052246]
+NC(=O)c1cc(F)cc(Nc2cccnc2)c1; ['NC(=O)c1cc(N)cc(F)c1', 'Brc1cccnc1', 'Ic1cccnc1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Clc1cccnc1', 'Fc1cccnc1', 'NC(=O)c1cc(F)cc(Cl)c1']; ['OB(O)c1cccnc1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'Nc1cccnc1', 'Nc1cccnc1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'Nc1cccnc1']; [0.9971321225166321, 0.9967818260192871, 0.9950900077819824, 0.9941339492797852, 0.9715670347213745, 0.9511078596115112, 0.9197491407394409, 0.9135016202926636]
+NC(=O)c1cc(F)cc(-n2cnc3ccccc32)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9980601072311401, 0.9616836309432983, 0.9290598630905151, 0.8970857858657837]
+NC(=O)c1cc(F)cc(-c2cnn3ncccc23)c1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12', 'Brc1cnn2ncccc12']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; [0.9999990463256836, 0.9999971389770508, 0.9999957084655762, 0.9992411136627197, 0.9975290894508362]
+NC(=O)c1cc(F)cc(NCCc2c[nH]cn2)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(F)cc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9974098205566406, 0.9734799861907959, 0.9568763971328735, 0.8761602640151978, 0.8739681243896484]
+NC(=O)c1cc(F)cc(-c2cccc(F)c2C(N)=O)c1; ['NC(=O)c1c(F)cccc1Br']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999849796295166]
+NC(=O)c1cc(F)cc(-c2c[nH]nc2C(F)(F)F)c1; ['FC(F)(F)c1n[nH]cc1I', 'FC(F)(F)c1n[nH]cc1Br', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; [0.9999279379844666, 0.9999212026596069, 0.9999120235443115, 0.9995869398117065]
+NC(=O)c1cc(F)cc(NCCc2ccccc2)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'N#CCc1ccccc1', 'ClCCc1ccccc1', 'BrCCc1ccccc1', 'NC(=O)c1cc(N)cc(F)c1', 'Cc1ccc(S(=O)(=O)OCCc2ccccc2)cc1', 'ICCc1ccccc1', 'CS(=O)(=O)OCCc1ccccc1', 'NC(=O)c1cc(F)cc([N+](=O)[O-])c1', 'NC(=O)c1cc(F)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NCCc1ccccc1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'O=CCc1ccccc1', 'NCCc1ccccc1', 'O=CCc1ccccc1']; [0.9971230030059814, 0.9860026836395264, 0.9849386215209961, 0.9730671644210815, 0.9722983837127686, 0.9715936183929443, 0.9422024488449097, 0.9373324513435364, 0.9281747341156006, 0.925975501537323, 0.8923656940460205, 0.8673160672187805, 0.7861113548278809]
+Cn1cc(-c2ccc(-c3cc(F)cc(C(N)=O)c3)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [1.0, 0.9999998807907104, 0.9999769926071167]
+NC(=O)c1cc(F)cc(-c2cncc3ccccc23)c1; ['Ic1cncc2ccccc12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Clc1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Ic1cncc2ccccc12']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; [0.9999991655349731, 0.9999988079071045, 0.9999957084655762, 0.9999840259552002, 0.9999802708625793, 0.9998555183410645, 0.9992878437042236, 0.9989753365516663, 0.9734612703323364, 0.8624134063720703]
+CN1c2ccc(-c3cc(F)cc(C(N)=O)c3)cc2CS1(=O)=O; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(NCc2ccc(Cl)cc2)c1; ['Clc1ccc(CBr)cc1', 'ClCc1ccc(Cl)cc1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc([N+](=O)[O-])c1', 'NC(=O)c1cc(F)cc(Cl)c1']; ['NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'OCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.999934196472168, 0.9997591972351074, 0.9993680119514465, 0.9955105781555176, 0.9940067529678345, 0.9925336241722107, 0.9539960622787476, 0.876573383808136]
+NC(=O)c1cc(F)cc(-c2ccc(-c3cn[nH]c3)cc2)c1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Brc1ccc(-c2cn[nH]c2)cc1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Clc1ccc(-c2cn[nH]c2)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999991655349731, 0.9999969601631165, 0.999910831451416, 0.9997228384017944, 0.9996869564056396, 0.9987123012542725]
+NC(=O)c1cc(F)cc(Nc2ccncc2)c1; ['NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'Brc1ccncc1', 'Ic1ccncc1', 'Clc1ccncc1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Fc1ccncc1', 'NC(=O)c1cc(F)cc(F)c1']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'Nc1ccncc1', 'Nc1ccncc1', 'NC(=O)c1cc(N)cc(F)c1', 'Nc1ccncc1']; [0.9999535083770752, 0.9993761777877808, 0.9989783763885498, 0.9984468817710876, 0.9969345331192017, 0.9917634725570679, 0.9863967895507812, 0.8163944482803345, 0.8145760893821716]
+NC(=O)c1cc(F)cc(-c2ccc3c(N)[nH]nc3c2)c1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(F)cc(C(N)=O)c2)n1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cccc(CC(=O)[O-])c2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cccc(CO)c2)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'OCc1cccc(Cl)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1']; [0.9999828338623047, 0.9999583959579468, 0.999474287033081, 0.998828113079071, 0.9985513687133789, 0.9930758476257324, 0.9918109774589539, 0.9712492227554321, 0.8680950403213501, 0.76168292760849]
+CC(C)n1cc(-c2cc(F)cc(C(N)=O)c2)nn1; ['CC(C)n1ccnn1']; ['NC(=O)c1cc(F)cc(Br)c1']; [0.9997701644897461]
+NC(=O)c1cc(F)cc(NCc2ccccc2F)c1; ['Fc1ccccc1CBr', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'Fc1ccccc1CCl', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc([N+](=O)[O-])c1', 'NC(=O)c1cc(F)cc(F)c1']; ['NC(=O)c1cc(N)cc(F)c1', 'NCc1ccccc1F', 'NC(=O)c1cc(N)cc(F)c1', 'NCc1ccccc1F', 'OCc1ccccc1F', 'O=Cc1ccccc1F', 'NCc1ccccc1F', 'O=Cc1ccccc1F', 'NCc1ccccc1F']; [0.9996439218521118, 0.9988777041435242, 0.9988231062889099, 0.9951050281524658, 0.991195797920227, 0.9844051599502563, 0.9693576693534851, 0.8344876766204834, 0.764555811882019]
+NC(=O)c1cc(F)cc(-c2csc3ncncc23)c1; ['Brc1csc2ncncc12']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.999972939491272]
+NC(=O)c1cc(F)cc(-c2cc3ccccc3[nH]2)c1; ['Ic1cc2ccccc2[nH]1', 'CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'Clc1cc2ccccc2[nH]1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'Clc1cc2ccccc2[nH]1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cc2ccccc2[nH]1', 'c1ccc2[nH]ccc2c1', 'NC(=O)c1cc(F)cc(Br)c1', 'c1ccc2[nH]ccc2c1']; [0.999996542930603, 0.9999802112579346, 0.9994688034057617, 0.9990993142127991, 0.9975818395614624, 0.9867563247680664, 0.9220881462097168]
+NC(=O)c1cc(F)cc(-c2cncnc2N)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1Cl', 'Nc1ncncc1Br']; [0.9999995231628418, 0.9999986886978149, 0.9998884201049805, 0.9997846484184265]
+COc1cc(-c2cc(F)cc(C(N)=O)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CSc1nc(-c2cc(F)cc(C(N)=O)c2)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc(F)cc(C(N)=O)c2)c1; ['N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(Br)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; [0.9998537302017212, 0.9998013377189636, 0.9995656609535217, 0.9708008766174316, 0.9570090770721436]
+CCNc1nc2ccc(-c3cc(F)cc(C(N)=O)c3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccccc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999991655349731, 0.9999232292175293, 0.7503615617752075]
+NC(=O)c1cc(F)cc(-c2ccc(F)cc2C(F)(F)F)c1; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.999991774559021, 0.9999505281448364, 0.999940037727356, 0.9999287724494934, 0.9998385906219482, 0.9998306035995483]
+NC(=O)c1cc(F)cc(CCc2c[nH]nn2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(NC(=O)c2c(Cl)cccc2Cl)c1; ['NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', None]; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', None]; [0.9999539852142334, 0.9997380971908569, 0]
+NC(=O)c1cc(F)cc(Oc2ccccn2)c1; ['NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(F)c1']; ['Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1', 'Oc1ccccn1']; [0.9940884113311768, 0.989852249622345, 0.9867428541183472, 0.9264059066772461]
+CC(C)c1oncc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+COc1ccc(-c2cc(F)cc(C(N)=O)c2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccccc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccccc1Cl']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(N)cc(F)c1']; [1.0, 0.999990701675415, 0.9999887347221375, 0.9999713897705078, 0.9999669194221497, 0.9999182224273682, 0.9982876777648926, 0.9973453283309937, 0.9762152433395386, 0.8702411651611328, 0.7691923379898071]
+CS(=O)(=O)C1CCN(c2cc(F)cc(C(N)=O)c2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(F)c1']; [0.9999454021453857, 0.9996305704116821, 0.9996114373207092, 0.994255781173706]
+NC(=O)c1cc(F)cc(-c2cnn3ccccc23)c1; ['Ic1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Brc1cnn2ccccc12', 'NC(=O)c1cc(F)cc(Cl)c1', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1cnn2ccccc12', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Ic1cnn2ccccc12', 'Brc1cnn2ccccc12']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cnn2ccccc12', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cnn2ccccc12', 'c1ccn2nccc2c1', 'c1ccn2nccc2c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1']; [0.9999997615814209, 0.999998927116394, 0.9999983310699463, 0.9999977946281433, 0.9999866485595703, 0.9999791979789734, 0.9999595880508423, 0.9998711943626404, 0.99944007396698, 0.998240053653717, 0.9965713620185852, 0.8432841300964355]
+CCCn1cc(-c2cc(F)cc(C(N)=O)c2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(B(O)O)cn1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999995231628418, 0.9999972581863403, 0.999893844127655, 0.9998205900192261, 0.9994332790374756]
+CC(C)(COc1cc(F)cc(C(N)=O)c1)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9973384141921997]
+CC(C)(O)CC(=O)NCCc1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+NC(=O)CCCc1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+COc1cc(CCc2cc(F)cc(C(N)=O)c2)cc(OC)c1; ['COc1cc(CBr)cc(OC)c1']; ['Cc1cc(F)cc(C(N)=O)c1']; [0.860897421836853]
+NC(=O)c1cc(F)cc(-c2cc[nH]c(=O)c2)c1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'O=c1cc(Br)cc[nH]1', 'O=c1cc(Cl)cc[nH]1', 'O=c1cc(Br)cc[nH]1', 'O=c1cccc[nH]1']; [0.9999974370002747, 0.9999774694442749, 0.9991471767425537, 0.9970559477806091, 0.9197777509689331, 0.9144642353057861]
+NC(=O)c1cc(F)cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)c1; [None]; [None]; [0]
+CCN(CC)c1cc(F)cc(C(N)=O)c1; ['CCN(CC)c1cc(F)cc(Br)c1', 'CCNCC', None]; ['C[Si](C)(C)N=C=O', 'NC(=O)c1cc(F)cc(Cl)c1', None]; [0.9964770078659058, 0.9290728569030762, 0]
+C[S@](=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(Br)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Cl)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999991655349731, 0.9999780654907227, 0.9996381998062134, 0.9995667338371277, 0.996756374835968, 0.971946656703949]
+NC(=O)c1cc(F)cc(-c2cccc3c2C(=O)CC3)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1']; ['O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(O)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21']; [0.9999569058418274, 0.9982516169548035, 0.9979579448699951, 0.9653661251068115, 0.9429447650909424]
+CCNS(=O)(=O)c1ccccc1-c1cc(F)cc(C(N)=O)c1; ['CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1Br']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9995341300964355, 0.9295365810394287]
+C[C@@H](Oc1cc(F)cc(C(N)=O)c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+COc1ccncc1Nc1cc(F)cc(C(N)=O)c1; ['COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1Cl', 'COc1ccncc1B(O)O', 'COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1I']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(N)cc(F)c1']; [0.9999074935913086, 0.9997069239616394, 0.9996914267539978, 0.9995677471160889, 0.9995433688163757, 0.9994581937789917, 0.9994370937347412]
+CC(C)Oc1cncc(-c2cc(F)cc(C(N)=O)c2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999996423721313, 0.9999985694885254, 0.9999731779098511, 0.9999562501907349, 0.9999265670776367]
+NC(=O)c1cc(F)cc(Nc2cnccc2-c2ccccc2)c1; ['NC(=O)c1cc(F)cc(Br)c1', 'Brc1cnccc1-c1ccccc1', 'NC(=O)c1cc(F)cc(Cl)c1']; ['Nc1cnccc1-c1ccccc1', 'NC(=O)c1cc(N)cc(F)c1', 'Nc1cnccc1-c1ccccc1']; [0.9997432231903076, 0.9995629787445068, 0.9961681365966797]
+NC(=O)c1cc(F)cc(Nc2cnc3ccccc3c2)c1; ['NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'Brc1cnc2ccccc2c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Ic1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'NC(=O)c1cc(F)cc(Cl)c1']; ['OB(O)c1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'NC(=O)c1cc(N)cc(F)c1', 'Nc1cnc2ccccc2c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cc(N)cc(F)c1', 'Nc1cnc2ccccc2c1']; [0.9999722838401794, 0.9997314214706421, 0.9994462728500366, 0.9988338947296143, 0.9975287914276123, 0.9959179162979126, 0.994851291179657]
+NC(=O)c1cc(F)cc(-c2cc3c(=O)[nH]ccc3o2)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc(F)cc(C(N)=O)c1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cccc(F)c1']; [0.9999918937683105, 0.9999533891677856, 0.999468207359314, 0.9993462562561035, 0.9991324543952942, 0.9988579750061035, 0.9984780550003052, 0.9984380602836609, 0.9980453252792358, 0.9962635040283203, 0.9880355596542358, 0.9557211995124817, 0.8765584826469421, 0.8703371286392212]
+NC(=O)c1cc(F)cc(-c2cnc3[nH]ccc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Ic1cnc2[nH]ccc2c1', 'NC(=O)c1cc(F)cc(Br)c1', 'Clc1cnc2[nH]ccc2c1', 'Brc1cnc2[nH]ccc2c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cnc2[nH]ccc2c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cnc2[nH]ccc2c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999990463256836, 0.9999905824661255, 0.9999469518661499, 0.9999407529830933, 0.9999369382858276, 0.9999010562896729, 0.9998416900634766, 0.9995207786560059]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; [0.9999995827674866, 0.9999796152114868, 0.9999681711196899, 0.9999668002128601]
+CNC(=O)c1c(F)cccc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cc3c(=O)[nH]cc(Br)c3s2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccccc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; [1.0, 1.0, 0.999998927116394, 0.9999983310699463, 0.9999978542327881, 0.999997615814209, 0.999143660068512, 0.9390487670898438, 0.7501867413520813]
+NC(=O)c1cc(F)cc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+Cc1cc(-c2cc(F)cc(C(N)=O)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-n2ccc(CO)n2)c1; [None]; [None]; [0]
+C[C@H](Nc1cc(F)cc(C(N)=O)c1)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9116804599761963, 0.8317465782165527]
+C[C@H](Nc1cc(F)cc(C(N)=O)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@@H](Nc1cc(F)cc(C(N)=O)c1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9116804599761963, 0.8317465782165527]
+CN(c1cc(F)cc(C(N)=O)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2c(F)cccc2Cl)c1; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Cl']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999978542327881, 0.9999456405639648, 0.9997245669364929, 0.9995980858802795, 0.9994561672210693, 0.992081344127655]
+NC(=O)c1cc(F)cc(-n2ncc3ccccc32)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(F)c1']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9994757175445557, 0.999198317527771, 0.9803009033203125]
+CC1(c2cc(F)cc(C(N)=O)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-n2cnc(CCO)c2)c1; ['NC(=O)c1cc(F)cc(F)c1']; ['OCCc1cnc[nH]1']; [0.9534722566604614]
+NC(=O)c1cc(F)cc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-n2ncc3c(O)cccc32)c1; ['NC(=O)c1cc(F)cc(Br)c1']; ['Oc1cccc2[nH]ncc12']; [0.9987805485725403]
+COc1ccc(-c2cc(F)cc(C(N)=O)c2)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', None, 'COc1ccc(-c2cc(F)cc(C(=O)O)c2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Cl)c(OC)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', None, '[NH4+]', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999725818634033, 0.9998435974121094, 0.9997754096984863, 0, 0.9993360042572021, 0.99711674451828, 0.991827130317688, 0.9863190650939941]
+NC(=O)c1cc(F)cc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2ccc(C(=O)c3ccccc3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Cl)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccccc1', 'O=C(c1ccccc1)c1ccc(I)cc1']; [0.999998927116394, 0.999957799911499, 0.9999405145645142, 0.9998885989189148, 0.9998551607131958, 0.9997721314430237, 0.9976997375488281, 0.99622642993927, 0.9915796518325806, 0.9849764108657837, 0.8893553614616394, 0.879174530506134, 0.7716230154037476]
+NC(=O)c1cc(F)cc(CCC(=O)NCc2ccccn2)c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc(F)cc(C(N)=O)c2)[nH]1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(Cc2nnc3ccc(-c4ccccc4)nn23)c1; [None]; [None]; [0]
+CCc1cc(-c2cc(F)cc(C(N)=O)c2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1', 'CCc1cc(Cl)nc(N)n1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999821186065674, 0.9999285340309143]
+NC(=O)c1cc(F)cc(-c2cn(Cc3ccccc3)nn2)c1; ['NC(=O)c1cc(F)cc(Br)c1']; ['c1ccc(Cn2ccnn2)cc1']; [0.9995322227478027]
+NC(=O)c1cc(F)cc(CS(=O)(=O)NCc2ccccn2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(F)cc(C(N)=O)c2)s1; ['CNC(=O)c1ccc(Br)s1']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999974370002747]
+NC(=O)c1cc(F)cc(-c2ccn(CC[NH3+])n2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2nnc(N)s2)c1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(F)cc(C(N)=O)c2)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(F)cc(C(N)=O)c2)n1; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1ccccn1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1ccccn1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(F)cc(Br)c1']; [0.9999973177909851, 0.999625027179718, 0.9995535612106323, 0.9992643594741821, 0.9958673715591431, 0.9942764043807983, 0.9490211606025696]
+NC(=O)c1cc(F)cc(-c2nc3ccccc3s2)c1; ['Brc1nc2ccccc2s1']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9991350173950195]
+CC1(C)Oc2ccc(-c3cc(F)cc(C(N)=O)c3)nc2NC1=O; ['CC1(C)Oc2ccc(Br)nc2NC1=O']; ['NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999263286590576]
+NC(=O)c1cc(F)cc(-c2cncc(N)n2)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1']; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1']; [0.9999927282333374, 0.9999778270721436]
+Cn1cc(C(N)=O)cc1-c1cc(F)cc(C(N)=O)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(F)cc(C(N)=O)c3)c2)cc1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cccc3ccsc23)c1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'Brc1cccc2ccsc12', 'NC(=O)c1cccc(F)c1', 'Clc1cccc2ccsc12']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'OB(O)c1cccc2ccsc12', 'NC(=O)c1cc(F)cc(B(O)O)c1']; [0.9999980926513672, 0.9999510645866394, 0.9998489618301392, 0.9995745420455933, 0.9937634468078613, 0.9893981218338013, 0.9387195110321045, 0.8889278173446655]
+NC(=O)c1cc(F)cc(-c2nc(N)c3ccccc3n2)c1; ['NC(=O)c1cc(F)cc(B(O)O)c1']; ['Nc1nc(Cl)nc2ccccc12']; [0.9994364976882935]
+NC(=O)c1cc(F)cc(-c2cccc3nnsc23)c1; ['Brc1cccc2nnsc12', 'Clc1cccc2nnsc12', 'Brc1cccc2nnsc12', 'Brc1cccc2nnsc12', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'Clc1cccc2nnsc12']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1', 'c1ccc2snnc2c1', 'NC(=O)c1cccc(F)c1']; [0.9999822974205017, 0.9998056888580322, 0.9962794780731201, 0.9917652606964111, 0.9437148571014404, 0.8368242979049683]
+C[C@@H2]NC(=O)N1CCC(c2cc(F)cc(C(N)=O)c2)CC1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(Oc2ccc(C[NH3+])cc2F)c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(F)cc(C(N)=O)c2)[nH]1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc(F)cc(C(N)=O)c1; ['COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cccc(F)c1']; [0.9999983310699463, 0.9999849200248718, 0.9999700784683228, 0.9999421834945679, 0.9999352693557739, 0.9998704791069031, 0.9998571872711182, 0.99308180809021, 0.9797621965408325]
+NC(=O)c1cc(F)cc(-c2ncc3cc[nH]c3n2)c1; ['Clc1ncc2cc[nH]c2n1', 'NC(=O)c1cc(F)cc(Br)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'c1ncc2cc[nH]c2n1']; [0.9997721910476685, 0.9171114563941956]
+NC(=O)c1cc(F)cc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cn(CCO)cn2)c1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(F)cc(C(N)=O)c2)c1; ['COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)c(O)c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)c(B(O)O)c1']; ['NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(B(O)O)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(N)cc(F)c1', 'NC(=O)c1cccc(F)c1']; [0.9999853372573853, 0.9999701976776123, 0.999966025352478, 0.9999499320983887, 0.9999216794967651, 0.9997791051864624, 0.9996693134307861, 0.9994722604751587, 0.9988378286361694, 0.9984534978866577, 0.9948942065238953, 0.9858565926551819, 0.9836403727531433, 0.9818611741065979, 0.9248028993606567]
+COc1ccc(Oc2cc(F)cc(C(N)=O)c2)c(F)c1F; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(Cl)c1', 'NC(=O)c1cc(F)cc(F)c1']; [0.9999189972877502, 0.9997607469558716, 0.9984006285667419]
+NC(=O)c1cc(F)cc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; ['NC(=O)c1cc(F)cc(Br)c1', 'NC(=O)c1cc(F)cc(F)c1', 'NC(=O)c1cc(F)cc(Cl)c1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9985877275466919, 0.9911971092224121, 0.9864213466644287]
+CN(C)S(=O)(=O)c1cccc(-c2cc(F)cc(C(N)=O)c2)c1; [None]; [None]; [0]
+NC(=O)c1cc(F)cc(-c2cccc(NC(=O)C3CCNCC3)c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(F)cc(C(N)=O)c2)cnn1; [None]; [None]; [0]
+CCOc1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1']; [0.999997615814209, 0.9999970197677612, 0.9999827742576599, 0.9999704957008362, 0.9996968507766724, 0.9745179414749146]
+CC(=O)N(C)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999990463256836, 0.999998927116394, 0.997556746006012]
+C[C@@]1(O)CC[C@H](c2cc(F)cc(C(N)=O)c2)CC1; [None]; [None]; [0]
+COc1ncccc1-c1cc(C(N)=O)ccn1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1Br']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999786615371704, 0.9999673366546631, 0.999732494354248, 0.9997053742408752, 0.9987391829490662, 0.998253345489502, 0.9628884792327881]
+Cc1ccc2ncn(-c3cc(C(N)=O)ccn3)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9994409084320068, 0.9989986419677734, 0.9987437725067139]
+CS(=O)(=O)c1cccc(-c2cc(C(N)=O)ccn2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1']; [1.0, 0.9999997615814209, 0.9999939203262329, 0.9999938607215881, 0.9999915361404419, 0.9999487400054932]
+COc1cc(-c2cc(C(N)=O)ccn2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccncc1']; [0.9999666810035706, 0.9999579191207886, 0.9999359846115112, 0.9999226331710815, 0.9998772144317627, 0.99983811378479, 0.9884905815124512, 0.9557360410690308]
+NC(=O)c1ccnc(-c2cccc(O)c2)c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', None]; ['NC(=O)c1ccnc(Cl)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'NC(=O)c1ccnc(Br)c1', None]; [0.9999803304672241, 0.9999760389328003, 0.9999701380729675, 0.9998846054077148, 0.9998561143875122, 0]
+N#Cc1ccc(O)c(-c2cc(C(N)=O)ccn2)c1; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9998937845230103, 0.9997333288192749]
+NC(=O)c1ccnc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+COc1ccc(-c2cc(C(N)=O)ccn2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(-c2cc(C(=O)O)ccn2)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(-c2cc(C(=O)O)ccn2)cc1', None, None]; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'O=C(n1ccnc1)n1ccnc1', 'NC(=O)c1ccnc(Br)c1', 'O=C(Cl)C(=O)Cl', None, None]; [0.9999982118606567, 0.9999978542327881, 0.9999769926071167, 0.9999692440032959, 0.9998200535774231, 0.9928424954414368, 0.9774101972579956, 0.9754973649978638, 0, 0]
+Cc1nc(C(C)(C)O)sc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccc(N3CCOCC3)cc2)c1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Br[Mg]c1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'NC(=O)c1ccnc(Br)c1']; ['NC(=O)c1ccnc(Br)c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'c1ccc(N2CCOCC2)cc1']; [1.0, 0.9999998807907104, 0.9999997615814209, 0.9999978542327881, 0.9999950528144836, 0.9999827146530151, 0.9999531507492065, 0.9998157620429993, 0.9996176958084106, 0.9633718729019165]
+NC(=O)c1ccnc(-c2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2nccc3ccccc23)c1; ['Brc1nccc2ccccc12']; ['NC(=O)c1ccnc(Br)c1']; [0.9929280877113342]
+NC(=O)c1ccnc(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cccc(NC(=O)C3CC3)c2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(Nc2ncccn2)c1; ['NC(=O)c1ccnc(Cl)c1', 'Clc1ncccn1']; ['Nc1ncccn1', 'NC(=O)c1ccnc(N)c1']; [0.9826450347900391, 0.9806778430938721]
+N#Cc1cccc(Cn2cc(-c3cc(C(N)=O)ccn3)cn2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccncc1', 'NC(=O)c1ccnc(Br)c1']; [0.9999995231628418, 0.9999991655349731, 0.9999929666519165, 0.9999840259552002, 0.9998858571052551, 0.9966837167739868, 0.9889696836471558]
+NC(=O)c1ccnc(-c2ccc(C(=O)Nc3ccccc3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [1.0, 0.9999997615814209, 0.9999991655349731, 0.9999947547912598]
+NC(=O)c1ccnc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999995231628418, 0.9999979734420776, 0.9999933242797852, 0.9999933242797852, 0.9999270439147949, 0.9693134427070618]
+NC(=O)c1ccnc(-c2ccc(OCCO)cc2)c1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1']; [0.9999992847442627, 0.999998927116394, 0.9999960660934448, 0.9999773502349854, 0.9999406933784485]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(C(N)=O)ccn3)cc2)CC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [1.0, 0.9999995231628418, 0.9999942779541016, 0.9999934434890747]
+C[C@H](O)COc1ccc(-c2cc(C(N)=O)ccn2)cc1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccc(C(F)(F)F)cc2)c1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1']; [0.9999995231628418, 0.9999994039535522, 0.9999963045120239, 0.9999961853027344, 0.999982476234436]
+NC(=O)c1ccnc(-c2ccc(C(=O)N3CCOCC3)cc2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccc3c(c2)CS(=O)(=O)C3)c1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cc(C(N)=O)ccn2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccncc1']; [1.0, 1.0, 0.9999953508377075, 0.9999938011169434, 0.9999568462371826, 0.9968129992485046, 0.9924496412277222]
+CN(C)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccccc1', 'CN(C)c1ccc(B(O)O)cc1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccncc1']; [0.9999996423721313, 0.999999463558197, 0.9999918937683105, 0.9999779462814331, 0.9997806549072266, 0.997604489326477, 0.9922751188278198, 0.9794968366622925]
+CS(=O)(=O)N1CCC(c2cc(C(N)=O)ccn2)CC1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1ccnc(Cl)c1']; [0.9999725222587585]
+Cc1nc(C)c(-c2cc(C(N)=O)ccn2)s1; [None]; [None]; [0]
+NC(=O)c1ccnc(Cc2cnc(N)nc2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc([C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
+CC(C)c1cc(-c2cc(C(N)=O)ccn2)nc(N)n1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccc(Br)cc2)c1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1']; [0.9999987483024597, 0.9999920129776001, 0.999936580657959, 0.9996791481971741, 0.9994817972183228]
+CCCOc1ccc(-c2cc(C(N)=O)ccn2)nc1; ['CCCOc1ccc(Br)nc1']; ['NC(=O)c1ccnc(Br)c1']; [0.999756395816803]
+NC(=O)c1ccnc(Cc2ccccc2O)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(C(N)=O)ccn2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999988079071045, 0.9999986886978149, 0.9739750623703003]
+COc1ccc(Cc2cc(C(N)=O)ccn2)cc1; ['COc1ccc(CBr)cc1']; ['NC(=O)c1ccnc(Cl)c1']; [0.9810233116149902]
+CNS(=O)(=O)c1ccc(-c2cc(C(N)=O)ccn2)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999897480010986, 0.9999565482139587, 0.9999376535415649, 0.9995980858802795]
+CCN(CC)C(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1']; [1.0, 1.0, 0.999994695186615, 0.9999890923500061, 0.9999361038208008, 0.999082088470459]
+CC(=O)N1CCCN(c2cccc(-c3cc(C(N)=O)ccn3)c2)CC1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc(C(N)=O)ccn1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999668598175049, 0.9999502897262573, 0.9998490810394287, 0.9996017813682556]
+NC(=O)c1ccnc(-c2ccccc2-n2cccn2)c1; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'Brc1ccccc1-n1cccn1', 'NC(=O)c1ccnc(Cl)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccccc1-n1cccn1']; [0.999983549118042, 0.9999685883522034, 0.9999087452888489, 0.999701976776123, 0.9992856383323669, 0.9992514252662659]
+Cc1c(C(=O)[O-])cccc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2c[nH]c3ccccc23)c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1c[nH]c2ccccc12', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccncc1', 'Brc1c[nH]c2ccccc12']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'NC(=O)c1ccncc1']; [0.9999814629554749, 0.9999731779098511, 0.9999538064002991, 0.9998932480812073, 0.9997133016586304, 0.9996144771575928, 0.9993703365325928, 0.9965276718139648, 0.9575257301330566, 0.7705170512199402]
+NC(=O)c1ccnc(-c2ccc3c(c2)CCO3)c1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'NC(=O)c1ccnc(Cl)c1', 'Brc1ccc2c(c1)CCO2', 'NC(=O)c1ccncc1', 'Brc1ccc2c(c1)CCO2', 'Br[Mg]c1ccc2c(c1)CCO2', 'Br[Mg]c1ccc2c(c1)CCO2']; ['NC(=O)c1ccnc(Br)c1', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccc2c(c1)CCO2', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccc2c(c1)CCO2', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999985694885254, 0.9999974966049194, 0.9999889731407166, 0.9999850988388062, 0.9999768733978271, 0.9999504089355469, 0.9986651539802551, 0.998557448387146, 0.9962177276611328, 0.9931936264038086]
+CC(=O)Nc1cccc(-c2cc(C(N)=O)ccn2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1']; [0.9999969005584717, 0.9999932050704956, 0.9999824166297913, 0.9999796152114868, 0.9999431371688843]
+COc1cc(-c2cc(C(N)=O)ccn2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999932050704956, 0.9999909400939941, 0.9998433589935303, 0.9996894001960754, 0.9994533061981201]
+COc1cc(OC)c(-c2cc(C(N)=O)ccn2)cc1Cl; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccn3nccc3n2)c1; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3cc(C(N)=O)ccn3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cccc3c2OCO3)c1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'Brc1cccc2c1OCO2', 'NC(=O)c1ccncc1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1cccc2c1OCO2']; [0.9999982118606567, 0.9999964237213135, 0.9999867081642151, 0.9999716281890869, 0.9998886585235596, 0.9991729855537415, 0.9943535327911377]
+CC(C)(C)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(-c2cc(C(=O)O)ccn2)cc1', None]; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'O=C(n1ccnc1)n1ccnc1', None]; [0.9999997615814209, 0.9999996423721313, 0.9999966621398926, 0.9999959468841553, 0.9999321103096008, 0.9995973706245422, 0]
+NC(=O)c1ccnc(-c2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cnc3ccccc3c2)c1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1']; [0.9999992251396179, 0.9999982118606567, 0.9999549388885498, 0.9999443888664246, 0.9998376369476318]
+CN(C)C(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1']; [1.0, 1.0, 0.9999959468841553, 0.9999938607215881, 0.9999756217002869, 0.9974902868270874, 0.9964162707328796]
+CC(C)(C)c1ccc(-c2cc(C(N)=O)ccn2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999988079071045, 0.9999969005584717, 0.999927282333374, 0.9999186992645264, 0.999891996383667, 0.9850136041641235]
+NC(=O)c1ccnc(Cc2nc3ccc(F)c(F)c3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(Cc2nc3c(F)c(F)ccc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(Cc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+Cc1ccc(-c2cc(C(N)=O)ccn2)c(=O)[nH]1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cc(C(N)=O)ccn2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(N)=O)c1', 'COc1cccc(C(=O)O)c1', 'COc1cccc(C(N)=O)c1', 'COC(=O)c1cccc(OC)c1']; ['NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(N)c1']; [0.999854326248169, 0.9994877576828003, 0.9993906021118164, 0.9985755085945129, 0.9758639335632324]
+NC(=O)c1ccnc(-c2scc3c2OCCO3)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(CCCc2ccccc2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc([Mg]Br)cc1', 'CSc1ccc(-c2cc(C(=O)O)ccn2)cc1', None, 'CSc1ccc(Br)cc1', 'CSc1ccc(-c2cc(C(=O)O)ccn2)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1', 'O=C(Cl)C(=O)Cl', None, 'NC(=O)c1ccnc(Br)c1', 'N']; [0.999998152256012, 0.9999973773956299, 0.9999791383743286, 0.9999653697013855, 0.9997380375862122, 0.9968825578689575, 0.9967848658561707, 0, 0.9556707739830017, 0.9267513751983643]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(C(N)=O)ccn2)CC1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cc3ccccc3s2)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'O=C(O)c1ccnc(-c2cc3ccccc3s2)c1', None]; ['OB(O)c1cc2ccccc2s1', 'OB(O)c1cc2ccccc2s1', 'O=C(n1ccnc1)n1ccnc1', None]; [0.9998981952667236, 0.9998714923858643, 0.9982743263244629, 0]
+NC(=O)c1ccnc(-c2csc(N)n2)c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc(C(N)=O)ccn3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999972581863403, 0.9969566464424133]
+NC(=O)c1ccnc(-c2ccn(-c3cccc(Cl)c3)n2)c1; [None]; [None]; [0]
+Cc1cc(-c2cc(C(N)=O)ccn2)nc(N)n1; ['Cc1cc(Br)nc(N)n1']; ['NC(=O)c1ccnc(Br)c1']; [0.9899193048477173]
+NC(=O)c1ccnc(-c2ccc(F)cc2Cl)c1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [0.9999983310699463, 0.999992311000824, 0.999971866607666, 0.9999079704284668, 0.9997348785400391]
+NC(=O)c1ccnc(-c2ccc3c(c2)CCC(=O)N3)c1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'NC(=O)c1ccnc(Br)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999887347221375, 0.9998841285705566, 0.9911630153656006]
+COc1ccc(-c2cc(C(N)=O)ccn2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(-c2cc(C(=O)O)ccn2)cc1OC', None]; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'O=C(n1ccnc1)n1ccnc1', None]; [0.9999966025352478, 0.9999899864196777, 0.9999686479568481, 0.9998311996459961, 0.9998081922531128, 0.9966522455215454, 0]
+CCc1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc([Mg]Br)cc1', 'CCc1ccc(-c2cc(C(=O)O)ccn2)cc1', 'CCc1ccc(Br)cc1', None, 'CCc1ccc(-c2cc(C(=O)O)ccn2)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccncc1', 'NC(=O)c1ccnc(Br)c1', 'O=C(Cl)C(=O)Cl', 'NC(=O)c1ccnc(Br)c1', None, 'N']; [0.9999992847442627, 0.9999991655349731, 0.999961256980896, 0.9999241828918457, 0.999442458152771, 0.9952178001403809, 0.9940621852874756, 0.9916860461235046, 0.984014630317688, 0, 0.8568381071090698]
+CC[C@@H](CO)c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccc(Cl)cc2Cl)c1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9999923706054688, 0.9999653697013855, 0.9999555349349976, 0.9994643926620483]
+COc1cc(-c2cc(C(N)=O)ccn2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999988079071045, 0.9999600648880005, 0.9978306293487549]
+NC(=O)c1ccnc([C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cc3ccccn3n2)c1; ['Brc1cc2ccccn2n1']; ['NC(=O)c1ccnc(Br)c1']; [0.9873331785202026]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ncc(Br)cn2)c1; [None]; [None]; [0]
+Cn1cc(-c2cc(C(N)=O)ccn2)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1']; [0.9999984502792358, 0.9999961853027344, 0.9999947547912598, 0.9999946355819702, 0.9999915361404419, 0.9999616146087646]
+CC1(C)Cc2cc(-c3cc(C(N)=O)ccn3)ccc2O1; [None]; [None]; [0]
+NC(=O)c1ccnc(CCCn2cncn2)c1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cc(C(N)=O)ccn3)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['NC(=O)c1ccnc(Br)c1']; [0.9957577586174011]
+COc1cc(-c2cc(C(N)=O)ccn2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999997615814209, 0.9999989867210388, 0.9999891519546509, 0.9999650716781616, 0.9999067783355713]
+NC(=O)c1ccnc(-c2cccc3ccc(O)cc23)c1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999836683273315, 0.9999833703041077]
+COc1cc(F)c(-c2cc(C(N)=O)ccn2)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1ccc(F)cc1OC']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccncc1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999966621398926, 0.9999943971633911, 0.9999889731407166, 0.9999883770942688, 0.99994295835495, 0.9999253749847412, 0.9943356513977051, 0.9925607442855835, 0.990719199180603]
+NC(=O)c1ccnc(-c2cnn(CCO)c2)c1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'NC(=O)c1ccnc(Cl)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OCCn1cc(B(O)O)cn1']; [0.999982476234436, 0.9999809265136719, 0.999807596206665]
+NC(=O)c1ccnc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999995827674866, 0.9999991655349731, 0.9999964237213135, 0.9999937415122986]
+NC(=O)c1ccnc(-c2cc(N)nc3[nH]ccc23)c1; ['NC(=O)c1ccnc(Br)c1']; ['Nc1cc(Br)c2cc[nH]c2n1']; [0.9968781471252441]
+CCNC(=O)c1ccc(-c2cc(C(N)=O)ccn2)nc1; ['CCNC(=O)c1ccc(Br)nc1']; ['NC(=O)c1ccnc(Br)c1']; [0.999496579170227]
+COc1cc(-c2cc(C(N)=O)ccn2)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccncc1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccncc1']; [0.9999417066574097, 0.9993197917938232, 0.9987607002258301, 0.9959426522254944, 0.9625307321548462, 0.9625060558319092, 0.9362218379974365]
+CCNC(=O)N1CCC(c2cc(C(N)=O)ccn2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cc(C(N)=O)ccn2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ncc(Cl)cn2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(C(N)=O)ccn2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1']; [0.999929666519165, 0.9999264478683472, 0.9998975992202759, 0.9998949766159058, 0.9998816251754761, 0.914429783821106]
+Cc1csc2c(-c3cc(C(N)=O)ccn3)ncnc12; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccc3cn[nH]c3c2)c1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1']; [0.9999994039535522, 0.9999988079071045, 0.9999961853027344, 0.9999919533729553]
+COc1ccc2oc(-c3cc(C(N)=O)ccn3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1']; ['NC(=O)c1ccnc(Br)c1']; [0.9999520778656006]
+CCn1cc(-c2cc(C(N)=O)ccn2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999978542327881, 0.9999972581863403, 0.9998873472213745, 0.9998857975006104]
+COc1cc(CS(C)(=O)=O)ccc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cc(C(N)=O)ccn1)cn2C; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc(C(N)=O)ccn2)c1; ['CNC(=O)c1ccc(OC)c(Br)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999591112136841, 0.9975777864456177]
+NC(=O)c1ccnc(-c2cc3ccccc3o2)c1; ['NC(=O)c1ccnc(Br)c1']; ['OB(O)c1cc2ccccc2o1']; [0.9999817609786987]
+CO[C@@H]1CC[C@@H](c2cc(C(N)=O)ccn2)CC1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cc(C(N)=O)ccn1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999972581863403, 0.9999927282333374]
+COc1ccc2nc(-c3cc(C(N)=O)ccn3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cc(C(N)=O)ccn2)c1; ['COc1ccc(F)c(C(N)=O)c1', 'COc1ccc(F)c(C(=O)O)c1', 'COC(=O)c1cc(OC)ccc1F']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1']; [0.9993688464164734, 0.9991576075553894, 0.9759629964828491]
+C[NH+](C)Cc1ccc(-c2cc(C(N)=O)ccn2)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccc(OC(F)(F)F)cc2)c1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'O=C(O)c1ccnc(-c2ccc(OC(F)(F)F)cc2)c1', 'FC(F)(F)Oc1ccc([Mg]Br)cc1', 'NC(=O)c1ccncc1', None]; ['NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'O=C(n1ccnc1)n1ccnc1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', None]; [1.0, 1.0, 1.0, 0.9999997615814209, 0.9999978542327881, 0.9999877214431763, 0.9999573230743408, 0.9997329711914062, 0]
+Cn1cc(-c2cc(C(N)=O)ccn2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.999981164932251, 0.9999480247497559]
+CCc1cccc(-c2cc(C(N)=O)ccn2)n1; ['CCc1cccc(Br)n1']; ['NC(=O)c1ccnc(Br)c1']; [0.9507999420166016]
+CN(C)c1ccc(-c2cc(C(N)=O)ccn2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999989867210388, 0.9999986886978149, 0.999981164932251, 0.9999762773513794, 0.9999442100524902, 0.9915794134140015]
+Cc1n[nH]c2cc(-c3cc(C(N)=O)ccn3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [1.0, 1.0, 0.9999995827674866, 0.999996542930603, 0.9998167753219604]
+Cn1ncc2cc(-c3cc(C(N)=O)ccn3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1']; [1.0, 0.9999997615814209, 0.9999995827674866, 0.9999982118606567, 0.9999966025352478]
+CC(=O)N1CCC(n2cc(-c3cc(C(N)=O)ccn3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['NC(=O)c1ccnc(Cl)c1']; [0.9999881386756897]
+CC(C)(O)c1ccc2cc(-c3cc(C(N)=O)ccn3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cccc(N3CCCC3=O)c2)c1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999917149543762, 0.9999401569366455, 0.9999310374259949, 0.9822669625282288]
+NC(=O)c1ccnc(NC(=O)c2cccc(OC(F)(F)F)c2)c1; ['NC(=O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1ccnc(N)c1', 'COC(=O)c1cccc(OC(F)(F)F)c1', 'CC(=O)c1cccc(OC(F)(F)F)c1']; ['NC(=O)c1ccnc(Br)c1', 'O=C(Cl)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1ccnc(Cl)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1']; [0.9999971985816956, 0.9999961853027344, 0.9999780654907227, 0.9999569654464722, 0.9987183809280396, 0.9968304634094238]
+Cc1cc(-c2cc(C(N)=O)ccn2)cc(C)c1OCCO; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ncn3c2CCCC3)c1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cc(C(N)=O)ccn3)ccc21; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccc(CCO)cc2)c1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1']; [0.9999974966049194, 0.9999970197677612, 0.9999780058860779, 0.9999069571495056, 0.9993436932563782]
+Cc1ncc(-c2ccc(-c3cc(C(N)=O)ccn3)cc2)n1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(C(N)=O)ccn2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.999893844127655, 0.9998929500579834]
+CN(C)C(=O)c1ccc(-c2cc(C(N)=O)ccn2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cc(C(N)=O)ccn1; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['NC(=O)c1ccnc(Cl)c1']; [0.9998909831047058]
+CCNC(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999986290931702, 0.9999964833259583]
+COc1cc(N2CCNCC2)ccc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(C(N)=O)ccn2)nc1; ['CN(C)C(=O)c1ccc(Br)nc1']; ['NC(=O)c1ccnc(Br)c1']; [0.9990041255950928]
+CCNC(=O)Cc1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['NC(=O)c1ccnc(Br)c1']; [0.9988247156143188]
+CNC(=O)c1ccccc1-c1cc(C(N)=O)ccn1; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999687671661377, 0.9999662637710571]
+CNC(=O)c1ccc(C)c(-c2cc(C(N)=O)ccn2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cc(C(N)=O)ccn2)c1; [None]; [None]; [0]
+Cn1nc(-c2cc(C(N)=O)ccn2)cc1C(C)(C)O; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+CCOc1ccccc1-c1cc(C(N)=O)ccn1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Br', 'CCOc1ccccc1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999924302101135, 0.9999901652336121, 0.9999898076057434, 0.9999221563339233, 0.9996407628059387, 0.9965107440948486, 0.9770870804786682]
+Cc1nnc(-c2ccccc2-c2cc(C(N)=O)ccn2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(C(N)=O)ccn1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999872446060181, 0.9999434947967529]
+NC(=O)c1ccnc(Cc2cc(F)cc(F)c2)c1; ['Fc1cc(F)cc(CBr)c1']; ['NC(=O)c1ccnc(Cl)c1']; [0.9994595646858215]
+NC(=O)c1ccnc(-c2cccc(C(F)(F)F)c2)c1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999963641166687, 0.9999959468841553, 0.9999849200248718, 0.999983549118042, 0.9999338388442993]
+NC(=O)c1ccnc(-c2ccnc3ccccc23)c1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1ccnc2ccccc12', 'Brc1ccnc2ccccc12', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccncc1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.9999691247940063, 0.9999617338180542, 0.99993896484375, 0.9998752474784851, 0.999714732170105, 0.9985072612762451, 0.9983198642730713, 0.9951299428939819, 0.891575038433075]
+NC(=O)c1ccnc(-c2ccccc2OC(F)(F)F)c1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Br', 'NC(=O)c1ccncc1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1ccccc1OC(F)(F)F']; [0.999998927116394, 0.9999961853027344, 0.9999951124191284, 0.999976396560669, 0.9999706745147705, 0.9999596476554871, 0.9989391565322876, 0.9876276850700378]
+Cn1cnc2ccc(-c3cc(C(N)=O)ccn3)cc2c1=O; [None]; [None]; [0]
+COC(C)(C)CCc1cc(C(N)=O)ccn1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cnn(Cc3ccccc3)c2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999975562095642, 0.9999939799308777, 0.9999756217002869, 0.999903678894043]
+NC(=O)c1ccnc(-c2ccccc2C(=O)[O-])c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccccc2C(N)=O)c1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1']; [0.999994158744812, 0.9999927282333374, 0.9997713565826416, 0.9996424913406372, 0.9888232350349426]
+NC(=O)c1ccnc(-c2cc(Cl)ccc2Cl)c1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999394416809082, 0.9998375177383423, 0.999587893486023, 0.9993346929550171]
+NC(=O)c1ccnc(-c2cccc(NC(=O)c3ccccc3)c2)c1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999982118606567, 0.9999971389770508, 0.9999927282333374, 0.9999743700027466]
+NC(=O)c1ccnc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+Cc1ccc(-c2cc(C(N)=O)ccn2)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9996358156204224, 0.971351146697998, 0.9457971453666687]
+CC(C)C(=O)COc1cc(C(N)=O)ccn1; [None]; [None]; [0]
+COc1cnc(-c2cc(C(N)=O)ccn2)nc1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(C(N)=O)ccn2)cs1; [None]; [None]; [0]
+NC(=O)c1ccnc(-n2ncc3cccc(F)c3c2=O)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cnc3ccccn23)c1; ['Brc1cnc2ccccn12']; ['NC(=O)c1ccnc(Br)c1']; [0.9768465757369995]
+Cc1nc(N)sc1-c1cc(C(N)=O)ccn1; ['Cc1csc(N)n1']; ['NC(=O)c1ccnc(Br)c1']; [0.9903461933135986]
+NC(=O)c1ccnc(-c2cccc(Br)c2)c1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1']; [0.9999827146530151, 0.9999304413795471, 0.9999110698699951, 0.9995985627174377, 0.9993927478790283]
+NC(=O)c1ccnc(-c2c(Cl)cccc2Cl)c1; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1', 'NC(=O)c1ccncc1']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1c(Cl)cccc1Cl']; [0.9993707537651062, 0.9979896545410156, 0.9862720966339111, 0.9037013649940491, 0.8564050197601318]
+NC(=O)c1ccnc(NCc2cccnc2)c1; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(F)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1']; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'O=Cc1cccnc1', 'OCc1cccnc1']; [0.9995771050453186, 0.9994105696678162, 0.9946702718734741, 0.9284689426422119, 0.911716639995575]
+CNc1nc(C)c(-c2cc(C(N)=O)ccn2)s1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc(C(N)=O)ccn2)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9996585845947266, 0.9993951320648193, 0.9988745450973511, 0.9985219240188599]
+NC(=O)c1ccnc(Nc2cccnc2)c1; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'Ic1cccnc1', 'Brc1cccnc1', 'NC(=O)c1ccnc(F)c1']; ['Nc1cccnc1', 'Nc1cccnc1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1', 'Nc1cccnc1']; [0.9989447593688965, 0.9977570176124573, 0.9850486516952515, 0.9520695209503174, 0.945412278175354]
+NC(=O)c1ccnc(-c2ccc3ccccc3c2)c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1', None]; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', None]; [0.9999973773956299, 0.999992847442627, 0.99998939037323, 0.9999594688415527, 0.9999531507492065, 0]
+NC(=O)c1ccnc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccnc(N)n2)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1']; ['Nc1nccc(Br)n1', 'Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1']; [0.9998387694358826, 0.9995945692062378, 0.9833513498306274]
+NC(=O)c1ccnc(NCCc2c[nH]cn2)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(F)c1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9996743202209473, 0.9994838237762451, 0.9988789558410645]
+NC(=O)c1ccnc(-c2cnn3ncccc23)c1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999958276748657, 0.9999847412109375, 0.9998329877853394]
+NC(=O)c1ccnc(-n2cnc3ccccc32)c1; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9998859763145447, 0.9997076392173767]
+NC(=O)c1ccnc(NC(=O)c2cccs2)c1; ['NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1cccs1', 'COC(=O)c1cccs1', 'NC(=O)c1cccs1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999789595603943, 0.9999337792396545, 0.9997469186782837, 0.9991676211357117, 0.9986699819564819]
+NC(=O)c1ccnc(NCCc2ccccc2)c1; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(F)c1', 'ICCc1ccccc1', 'BrCCc1ccccc1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1cc[n+]([O-])cc1']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1', 'O=CCc1ccccc1', 'NCCc1ccccc1']; [0.9996934533119202, 0.999608039855957, 0.9937660694122314, 0.9612628221511841, 0.9545023441314697, 0.92725670337677, 0.7530746459960938]
+NC(=O)c1ccnc(-c2c[nH]nc2C(F)(F)F)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cc(C(N)=O)ccn3)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; ['NC(=O)c1ccnc(Cl)c1']; [1.0]
+Cc1c(-c2cc(C(N)=O)ccn2)sc(=O)n1C; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cccc(F)c2C(N)=O)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cncc3ccccc23)c1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'Brc1cncc2ccccc12']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'NC(=O)c1ccnc(Br)c1']; [1.0, 0.9999995231628418, 0.9999955892562866, 0.9999883770942688, 0.9998382329940796, 0.9996381998062134]
+NC(=O)c1ccnc(NCc2ccc(Cl)cc2)c1; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(F)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1']; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1']; [0.9994795918464661, 0.9949790835380554, 0.9937182664871216, 0.9897385835647583, 0.9708775281906128]
+NC(=O)c1ccnc(-c2ccc(-c3cn[nH]c3)cc2)c1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'NC(=O)c1ccnc(Br)c1']; [0.9999997615814209, 0.9999997615814209, 0.9999933242797852, 0.9999861121177673, 0.9965900778770447]
+NC(=O)c1ccnc(-c2cccc(CC(=O)[O-])c2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cccc(CO)c2)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'O=C(Cl)C(=O)Cl', 'NC(=O)c1ccnc(I)c1', None]; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'O=C(O)c1ccnc(-c2cccc(CO)c2)c1', 'OCc1cccc(B(O)O)c1', None]; [0.9999862313270569, 0.9999772906303406, 0.9998270273208618, 0.9997549057006836, 0.9978082180023193, 0.9963439702987671, 0]
+NC(=O)c1ccnc(Nc2ccncc2)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(F)c1', 'Ic1ccncc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'NC(=O)c1ccnc(N)c1']; [0.9996778964996338, 0.999653697013855, 0.9968849420547485, 0.9966575503349304]
+NC(=O)c1ccnc(NCc2ccccc2F)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(F)c1', 'NC(=O)c1cc[n+]([O-])cc1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1']; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'OCc1ccccc1F', 'O=Cc1ccccc1F']; [0.9999254941940308, 0.9996395111083984, 0.9855178594589233, 0.9805798530578613, 0.9345006346702576, 0.7959195375442505]
+NC(=O)c1ccnc(-c2ccc3c(N)[nH]nc3c2)c1; [None]; [None]; [0]
+CN1c2ccc(-c3cc(C(N)=O)ccn3)cc2CS1(=O)=O; [None]; [None]; [0]
+COc1cc(-c2cc(C(N)=O)ccn2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CCCn1cnc(-c2cc(C(N)=O)ccn2)n1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2csc3ncncc23)c1; [None]; [None]; [0]
+CC(C)n1cc(-c2cc(C(N)=O)ccn2)nn1; [None]; [None]; [0]
+NC(=O)c1ccnc(CCc2c[nH]nn2)c1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+CSc1nc(-c2cc(C(N)=O)ccn2)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc(C(N)=O)ccn2)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(Br)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999781847000122, 0.9999349117279053, 0.9997297525405884, 0.9897146224975586, 0.7913192510604858]
+NC(=O)c1ccnc(-c2cncnc2N)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; ['Nc1ncncc1Br', 'Nc1ncncc1Br']; [0.9999369382858276, 0.9994571208953857]
+CCC(=O)Nc1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999997615814209, 0.9999996423721313]
+NC(=O)c1ccnc(NC(=O)c2c(Cl)cccc2Cl)c1; ['NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1c(Cl)cccc1Cl', 'COC(=O)c1c(Cl)cccc1Cl', 'CC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1']; [0.9995131492614746, 0.9992387890815735, 0.9988687038421631, 0.9934631586074829, 0.9866280555725098]
+NC(=O)c1ccnc(-c2ccc(F)cc2C(F)(F)F)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'NC(=O)c1ccnc(I)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'NC(=O)c1ccnc(Br)c1']; [0.9999668598175049, 0.9999603629112244, 0.9999357461929321, 0.9998922348022461, 0.9962320327758789]
+CCNc1nc2ccc(-c3cc(C(N)=O)ccn3)cc2s1; [None]; [None]; [0]
+NC(=O)c1ccnc(Oc2ccccn2)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; ['Oc1ccccn1', 'Oc1ccccn1']; [0.9563087224960327, 0.9536775350570679]
+CC(C)(COc1cc(C(N)=O)ccn1)S(C)(=O)=O; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cc(C(N)=O)ccn2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CC(C)(C)OC(=O)N1CCC(S(C)(=O)=O)CC1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(F)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.999994695186615, 0.9999433755874634, 0.9998923540115356, 0.9995587468147278]
+NC(=O)c1ccnc(-c2cc3ccccc3[nH]2)c1; [None]; [None]; [0]
+CCCn1cc(-c2cc(C(N)=O)ccn2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999974966049194, 0.999996542930603, 0.9999613761901855, 0.9999229907989502]
+NC(=O)c1ccnc(-c2cnn3ccccc23)c1; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12']; [0.9999984502792358, 0.999998152256012, 0.9999865889549255, 0.9999810457229614, 0.9998511075973511]
+COc1ccc(-c2cc(C(N)=O)ccn2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc([Mg]Br)cc1Cl']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccncc1', 'NC(=O)c1ccnc(Br)c1']; [0.999998927116394, 0.999995231628418, 0.999985933303833, 0.9999800324440002, 0.9996403455734253, 0.9944021701812744, 0.9923520088195801]
+CC(C)(O)CC(=O)NCCc1cc(C(N)=O)ccn1; [None]; [None]; [0]
+NC(=O)CCCc1cc(C(N)=O)ccn1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc(C(N)=O)ccn2)cc1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cc[nH]c(=O)c2)c1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999781847000122, 0.999934196472168]
+C[S@](=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999988079071045, 0.9999772310256958, 0.9998612999916077]
+CCN(CC)c1cc(C(N)=O)ccn1; ['CCNCC', 'CCNCC', None, 'CCNCC']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', None, 'NC(=O)c1ccnc(F)c1']; [0.994965672492981, 0.9872362017631531, 0, 0.8350918292999268]
+C[C@@H](Oc1cc(C(N)=O)ccn1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(F)c1']; [0.9989206790924072, 0.9920613765716553, 0.9729824066162109]
+NC(=O)c1ccnc(-c2cccc3c2C(=O)CC3)c1; [None]; [None]; [0]
+COc1ccncc1Nc1cc(C(N)=O)ccn1; ['COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1Br', 'COc1ccncc1B(O)O']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(N)c1', 'NC(=O)c1ccnc(N)c1']; [0.999937891960144, 0.9998925924301147, 0.9995604753494263, 0.9992165565490723]
+NC(=O)c1ccnc(Nc2cnccc2-c2ccccc2)c1; ['NC(=O)c1ccnc(Br)c1', 'Brc1cnccc1-c1ccccc1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(F)c1']; ['Nc1cnccc1-c1ccccc1', 'NC(=O)c1ccnc(N)c1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.9998221397399902, 0.9997861385345459, 0.9977799654006958, 0.9891296625137329]
+CCNS(=O)(=O)c1ccccc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+COc1cc(CCc2cc(C(N)=O)ccn2)cc(OC)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc(C(N)=O)ccn2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999996423721313, 0.999999463558197, 0.9999905824661255, 0.9999893307685852]
+NC(=O)c1ccnc(Nc2cnc3ccccc3c2)c1; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(F)c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; [0.9999929666519165, 0.9999489188194275, 0.9993434548377991]
+NC(=O)c1ccnc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cnc3[nH]ccc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 1.0, 0.9999966621398926, 0.9999853372573853, 0.9999753832817078]
+NC(=O)c1ccnc(-c2c[nH]c3cnccc23)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9997057914733887, 0.9994536638259888, 0.9909743666648865]
+COc1cccc(F)c1-c1cc(C(N)=O)ccn1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1']; [0.9999994039535522, 0.999998927116394, 0.999984622001648, 0.999959409236908, 0.9999457597732544, 0.9993025064468384]
+CNC(=O)c1c(F)cccc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cc3c(=O)[nH]cc(Br)c3s2)c1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; [1.0, 1.0, 0.9999893307685852, 0.9999879598617554, 0.9094475507736206]
+NC(=O)c1ccnc(-c2cc3c(=O)[nH]ccc3o2)c1; [None]; [None]; [0]
+C[C@H](Nc1cc(C(N)=O)ccn1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cc(C(N)=O)ccn2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1']; [1.0, 1.0, 0.9999967813491821, 0.9999966025352478, 0.9999766945838928, 0.999953031539917]
+CC1(c2cc(C(N)=O)ccn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+NC(=O)c1ccnc(-n2ccc(CO)n2)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9993081092834473, 0.9983726739883423]
+C[C@H](Nc1cc(C(N)=O)ccn1)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(F)c1']; [0.9841866493225098, 0.9558181762695312, 0.9121420383453369]
+C[C@@H](Nc1cc(C(N)=O)ccn1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(F)c1']; [0.9841866493225098, 0.9558181762695312, 0.9121420383453369]
+CN(c1cc(C(N)=O)ccn1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+NC(=O)c1ccnc(-n2cnc(CCO)c2)c1; ['NC(=O)c1ccnc(Cl)c1']; ['OCCc1cnc[nH]1']; [0.9925935864448547]
+NC(=O)c1ccnc(-n2ncc3ccccc32)c1; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(F)c1']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.999854564666748, 0.9997102618217468, 0.9996960759162903, 0.9962136745452881]
+NC(=O)c1ccnc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
+Cc1cc(-c2cc(C(N)=O)ccn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2c(F)cccc2Cl)c1; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1', 'Fc1cccc(Cl)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'NC(=O)c1ccnc(Br)c1']; [0.9999943971633911, 0.9999881982803345, 0.9999279379844666, 0.9996315240859985, 0.9991496801376343, 0.989147424697876]
+NC(=O)c1ccnc(-c2ccc(C(=O)c3ccccc3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9999973773956299, 0.9999911785125732, 0.9999741315841675, 0.9998947381973267, 0.9996566772460938]
+COc1ccc(-c2cc(C(N)=O)ccn2)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(-c2cc(C(=O)O)ccn2)c(OC)c1', None, 'COc1ccc(Br)c(OC)c1', 'COc1cccc(OC)c1', 'COc1ccc(-c2cc(C(=O)O)ccn2)c(OC)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(I)c1', 'O=C(Cl)C(=O)Cl', None, 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Br)c1', 'N']; [0.9999209046363831, 0.9999194145202637, 0.9999086856842041, 0.9998615980148315, 0.999181866645813, 0.984076738357544, 0, 0.9614388942718506, 0.8082784414291382, 0.7656198740005493]
+NC(=O)c1ccnc(-n2ncc3c(O)cccc32)c1; ['NC(=O)c1ccnc(Cl)c1']; ['Oc1cccc2[nH]ncc12']; [0.9999804496765137]
+NC(=O)c1ccnc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc(C(N)=O)ccn2)[nH]1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccnc(CCC(=O)NCc2ccccn2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(Cc2nnc3ccc(-c4ccccc4)nn23)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ccn(CC[NH3+])n2)c1; [None]; [None]; [0]
+CCc1cc(-c2cc(C(N)=O)ccn2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1']; ['NC(=O)c1ccnc(Br)c1']; [0.9991047382354736]
+NC(=O)c1ccnc(CS(=O)(=O)NCc2ccccn2)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(C(N)=O)ccn2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(C(N)=O)ccn2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(C(N)=O)ccn2)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(C(N)=O)ccn2)n1; ['CC(C)(O)c1cccc(Br)n1']; ['NC(=O)c1ccnc(Br)c1']; [0.9669904708862305]
+NC(=O)c1ccnc(-c2nnc(N)s2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cncc(N)n2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cccc3ccsc23)c1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999989867210388, 0.9999988079071045, 0.9998781681060791, 0.9998729228973389, 0.9969651699066162]
+NC(=O)c1ccnc(Oc2ccc(C[NH3+])cc2F)c1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1cc(C(N)=O)ccn1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cc(C(N)=O)ccn3)nc2NC1=O; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2cccc3nnsc23)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(C(N)=O)ccn3)c2)cc1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc(C(N)=O)ccn1; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999989867210388, 0.9999970197677612, 0.9999922513961792, 0.9999878406524658, 0.9999862313270569]
+NC(=O)c1ccnc(-c2c[nH]c3cccnc23)c1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Brc1c[nH]c2cccnc12']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9997212886810303, 0.9994758367538452, 0.9946298599243164]
+COc1ccc(Oc2cc(C(N)=O)ccn2)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(F)c1']; [0.9999415278434753, 0.9998417496681213, 0.9934731125831604, 0.9821563959121704]
+NC(=O)c1ccnc(-c2cn(CCO)cn2)c1; [None]; [None]; [0]
+NC(=O)c1ccnc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(C(N)=O)ccn2)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999950528144836, 0.9999843835830688, 0.9999753832817078, 0.9999257326126099, 0.9998847246170044]
+NC(=O)c1ccnc(-c2nc(N)c3ccccc3n2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc(C(N)=O)ccn2)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(I)c1', 'NC(=O)c1ccncc1', 'NC(=O)c1ccnc(Br)c1']; [0.9999998807907104, 0.999999463558197, 0.9999884366989136, 0.999962329864502, 0.9998682737350464, 0.9979480504989624, 0.9960612654685974]
+CC(=O)Nc1ncc(-c2cc(C(N)=O)ccn2)[nH]1; [None]; [None]; [0]
+NC(=O)c1ccnc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(F)c1', 'CC(C)(C)OC(=O)N1CCC(c2nc3ccccc3[nH]2)CC1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'NC(=O)c1ccnc(Cl)c1']; [0.9999985694885254, 0.9999762773513794, 0.9997841119766235, 0.9996013641357422]
+NC(=O)c1ccnc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['NC(=O)c1ccnc(Br)c1', 'NC(=O)c1ccnc(Cl)c1', 'NC(=O)c1ccnc(F)c1']; [0.9999915957450867, 0.9999868869781494, 0.9997406601905823]
+NC(=O)c1ccnc(-c2cccc(NC(=O)C3CCNCC3)c2)c1; [None]; [None]; [0]
+CCOc1ccc(-c2nc(N)ncc2Cl)cc1; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9998155832290649, 0.9993246793746948, 0.9993098378181458, 0.9956843852996826]
+CC(=O)N(C)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9999436736106873]
+CN(C)c1cc(-c2cc(C(N)=O)ccn2)cnn1; [None]; [None]; [0]
+COc1ncccc1-c1nc(N)ncc1Cl; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9995094537734985, 0.9965335130691528, 0.9954230785369873, 0.9926105737686157, 0.9618286490440369]
+Cc1ccc2ncn(-c3nc(N)ncc3Cl)c2c1; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9870964884757996, 0.9539036154747009]
+COc1cc(-c2nc(N)ncc2Cl)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9962508082389832, 0.9952105283737183, 0.9932618737220764, 0.984286904335022]
+CS(=O)(=O)c1cccc(-c2nc(N)ncc2Cl)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999901056289673, 0.9999164938926697, 0.9989222288131714]
+C[C@@]1(O)CC[C@H](c2cc(C(N)=O)ccn2)CC1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2nc(N)ncc2Cl)c1; ['N#Cc1ccc(O)c(B(O)O)c1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9731007814407349]
+Nc1ncc(Cl)c(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
+COc1ccc(-c2nc(N)ncc2Cl)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', None]; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', None]; [0.999868631362915, 0.999585747718811, 0.999374270439148, 0.9964944124221802, 0]
+Nc1ncc(Cl)c(-c2cccc(O)c2)n1; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9996728897094727, 0.9966114163398743, 0.9901783466339111]
+Nc1ncc(Cl)c(-c2ccc(N3CCOCC3)cc2)n1; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [0.999997615814209, 0.9999877214431763, 0.9999854564666748, 0.9999775886535645]
+Nc1ncc(Cl)c(-c2nc3ccccc3[nH]2)n1; ['Nc1ccccc1N', 'Cc1nc(N)ncc1Cl']; ['Nc1ncc(Cl)c(C(=O)O)n1', 'Nc1ccccc1N']; [0.9997144937515259, 0.9969873428344727]
+Nc1ncc(Cl)c(Nc2ncccn2)n1; ['Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncccn1']; [0.9666639566421509]
+Nc1ncc(Cl)c(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999536275863647, 0.9989016652107239, 0.9972982406616211, 0.9872332811355591]
+Nc1ncc(Cl)c(-c2cccc(NC(=O)C3CC3)c2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2nccc3ccccc23)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccc(C(=O)Nc3ccccc3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(Cl)n1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.9999927282333374, 0.9999778270721436, 0.9998268485069275]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc(N)ncc3Cl)cc2)CC1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3nc(N)ncc3Cl)cn2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2nc(N)ncc2Cl)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1']; [0.9999938011169434, 0.99997478723526, 0.9999278783798218, 0.9998571872711182, 0.9997800588607788, 0.9940299987792969, 0.98691725730896]
+Nc1ncc(Cl)c(-c2ccc(OCCO)cc2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccc(C(=O)N3CCOCC3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9999994039535522, 0.9999971389770508, 0.9999971389770508, 0.9999931454658508, 0.9997050762176514]
+Nc1ncc(Cl)c(-c2cccc(C3CCNCC3)c2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccc(C(F)(F)F)cc2)n1; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1', None]; ['OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccc(C(F)(F)F)cc1', None]; [0.9999902248382568, 0.9999645352363586, 0.9999356865882874, 0.9998700618743896, 0]
+CNS(=O)(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9998289346694946, 0.9983618259429932]
+CN(C)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9998877644538879, 0.999626874923706, 0.9991378784179688, 0.9957890510559082]
+Nc1ncc(Cl)c(-c2ccc(C(=O)N3CCOCC3)cn2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccc3c(c2)CS(=O)(=O)C3)n1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2nc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2nc(N)ncc2Cl)s1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999874830245972, 0.9993438720703125]
+C[C@@H](O)COc1ccc(-c2nc(N)ncc2Cl)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9979987144470215]
+CS(=O)(=O)N1CCC(c2nc(N)ncc2Cl)CC1; [None]; [None]; [0]
+Nc1ncc(Cc2nc(N)ncc2Cl)cn1; [None]; [None]; [0]
+CC(C)c1cc(-c2nc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c([C@H]2CCN(C(=O)c3ccccc3)C2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccc(Br)cc2)n1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', None]; ['Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', None]; [0.9998754262924194, 0.9994743466377258, 0.9955772161483765, 0.9918347597122192, 0]
+CC(=O)N1CCCN(c2cccc(-c3nc(N)ncc3Cl)c2)CC1; [None]; [None]; [0]
+Nc1ncc(Cl)c(Cc2ccccc2O)n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc(N)ncc2Cl)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9999821186065674]
+CCCOc1ccc(-c2nc(N)ncc2Cl)nc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999558925628662, 0.9999279975891113, 0.9995519518852234, 0.9896860122680664]
+CNS(=O)(=O)c1ccc(-c2nc(N)ncc2Cl)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9998996257781982, 0.9991616606712341, 0.9923093318939209]
+COc1ccc(Cl)cc1-c1nc(N)ncc1Cl; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9994193911552429, 0.9992384910583496, 0.9989829659461975, 0.9949209690093994]
+Cc1c(C(=O)[O-])cccc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccccc2-n2cccn2)n1; ['Nc1ncc(Cl)c(I)n1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1']; ['OB(O)c1ccccc1-n1cccn1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1']; [0.9999943971633911, 0.9999850988388062, 0.9997743368148804, 0.9995682239532471]
+COc1ccc(Cc2nc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2c[nH]c3ccccc23)n1; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', None]; ['OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Nc1ncc(Cl)c(Cl)n1', None]; [0.9998612403869629, 0.9998012781143188, 0.9994577169418335, 0]
+Nc1ncc(Cl)c(-c2ccc3c(c2)CCO3)n1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Brc1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(I)n1', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccc2c(c1)CCO2']; [0.9999971985816956, 0.9999943971633911, 0.9999911189079285, 0.9999852776527405, 0.9999719262123108, 0.9999637007713318]
+COc1cc(OC)c(-c2nc(N)ncc2Cl)cc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccn3nccc3n2)n1; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3nc(N)ncc3Cl)[nH]c2c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2nc(N)ncc2Cl)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999723434448242, 0.9997954368591309, 0.9996763467788696, 0.9987912178039551]
+COc1cc(-c2nc(N)ncc2Cl)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9998137950897217, 0.9981237649917603]
+Nc1ncc(Cl)c(-c2scc3c2OCCO3)n1; ['Nc1ncc(Cl)cn1']; ['c1scc2c1OCCO2']; [0.8784089088439941]
+Nc1ncc(Cl)c(-c2cccc3c2OCO3)n1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'Nc1ncc(Cl)c(I)n1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1cccc2c1OCO2']; [0.9974117279052734, 0.9271283149719238, 0.8976941704750061]
+CC(C)(C)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9998916387557983, 0.9998356699943542, 0.9995531439781189, 0.9979035258293152]
+Nc1ncc(Cl)c(-c2cc(-c3ccccc3)[nH]n2)n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.999988317489624, 0.9998531937599182, 0.9991605281829834, 0.9764130711555481]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nc(N)ncc2Cl)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999440908432007, 0.9998905658721924, 0.9998648166656494, 0.9988094568252563]
+Nc1ncc(Cl)c(-c2cnc3ccccc3c2)n1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1']; [0.9999388456344604, 0.9999359250068665, 0.999070405960083, 0.9990040063858032]
+Cc1ccc(-c2nc(N)ncc2Cl)c(=O)[nH]1; [None]; [None]; [0]
+Nc1ncc(Cl)c(Cc2nc3ccc(F)c(F)c3[nH]2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(Cc2nc3c(F)c(F)ccc3[nH]2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(CCCc2ccccc2)n1; ['BrCCc1ccccc1']; ['Cc1nc(N)ncc1Cl']; [0.7580721974372864]
+COc1cccc(C(=O)Nc2nc(N)ncc2Cl)c1; ['COc1cccc(C(N)=O)c1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9453950524330139]
+CSc1ccc(-c2nc(N)ncc2Cl)cc1; ['CSc1ccc(B(O)O)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9993038177490234, 0.9992436766624451, 0.9946796894073486, 0.9900038242340088]
+Nc1ncc(Cl)c(-c2cc3ccccc3s2)n1; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1']; ['OB(O)c1cc2ccccc2s1', 'c1ccc2sccc2c1']; [0.9989206194877625, 0.8657313585281372]
+Nc1ncc(Cl)c(-c2csc(N)n2)n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2nc(N)ncc2Cl)CC1; [None]; [None]; [0]
+Nc1ncc(Cl)c(Cc2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3nc(N)ncc3Cl)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9999117255210876]
+Nc1ncc(Cl)c(-c2ccn(-c3cccc(Cl)c3)n2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccc(F)cc2Cl)n1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [0.9999991059303284, 0.9999823570251465, 0.9999008178710938, 0.9991631507873535, 0.9986831545829773]
+COc1ccc(-c2nc(N)ncc2Cl)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999847412109375, 0.9998152256011963, 0.9997671842575073, 0.9988260269165039]
+Nc1ncc(Cl)c(-c2ccc3c(c2)CCC(=O)N3)n1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C']; ['Nc1ncc(Cl)c(Cl)n1']; [0.999884843826294]
+CCc1ccc(-c2nc(N)ncc2Cl)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9993922710418701, 0.9972866773605347, 0.9957748055458069, 0.9705213904380798]
+Nc1ncc(Cl)c([C@H](CO)Cc2ccccc2)n1; [None]; [None]; [0]
+CC[C@@H](CO)c1nc(N)ncc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccc(Cl)cc2Cl)n1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9998128414154053, 0.9996856451034546, 0.9992837905883789, 0.9973586797714233]
+Cc1cc(-c2nc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ncc(Br)cn2)n1; [None]; [None]; [0]
+COc1cc(-c2nc(N)ncc2Cl)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9999796748161316]
+Cn1cc(-c2nc(N)ncc2Cl)c(C(F)(F)F)n1; ['Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999786615371704, 0.9998409748077393, 0.9996044039726257]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3nc(N)ncc3Cl)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3nc(N)ncc3Cl)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.8131150007247925]
+Nc1ncc(Cl)c(CCCn2cncn2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cccc3ccc(O)cc23)n1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9996126890182495]
+Nc1ncc(Cl)c(-c2ncc3cccn3n2)n1; [None]; [None]; [0]
+COc1cc(-c2nc(N)ncc2Cl)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999704360961914, 0.9999620914459229, 0.9999570846557617, 0.9996388554573059]
+Nc1ncc(Cl)c(-c2cc3ccccn3n2)n1; [None]; [None]; [0]
+COc1cc(F)c(-c2nc(N)ncc2Cl)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1']; [0.9999803304672241, 0.9999085068702698, 0.9984695315361023, 0.9979787468910217]
+CNC(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999849796295166, 0.999872088432312]
+COc1cc(-c2nc(N)ncc2Cl)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1']; [0.9978830814361572, 0.9719972610473633, 0.9559264183044434]
+Nc1ncc(Cl)c(-c2cnn(CCO)c2)n1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(Cl)n1', 'OCCn1cc(B(O)O)cn1']; [0.9979608058929443, 0.9792822599411011]
+Nc1cc(-c2nc(N)ncc2Cl)c2cc[nH]c2n1; [None]; [None]; [0]
+Cc1csc2c(-c3nc(N)ncc3Cl)ncnc12; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ncc(Cl)cn2)n1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+COc1cc(OC)cc(-c2nc(N)ncc2Cl)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9995625615119934, 0.9991961121559143, 0.9989356398582458, 0.9986135959625244]
+CCNC(=O)c1ccc(-c2nc(N)ncc2Cl)nc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2nc(N)ncc2Cl)CC1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1nc(N)ncc1Cl)cn2C; ['COc1ccc2c(ccn2C)c1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9972123503684998]
+COc1ccc(OC)c(Cc2nc(N)ncc2Cl)c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2nc(N)ncc2Cl)CC1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cccc(C(=O)Nc3cn[nH]c3)c2)n1; [None]; [None]; [0]
+COc1ccc2oc(-c3nc(N)ncc3Cl)cc2c1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccc3cn[nH]c3c2)n1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['Nc1ncc(Cl)c(I)n1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999833106994629, 0.9999644160270691, 0.9997867941856384, 0.999597430229187]
+CCn1cc(-c2nc(N)ncc2Cl)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999545216560364, 0.9975777864456177, 0.9668904542922974]
+Nc1ncc(Cl)c(-c2cc3ccccc3o2)n1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1nc(N)ncc1Cl; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999682903289795, 0.9999157190322876]
+CNC(=O)c1ccc(OC)c(-c2nc(N)ncc2Cl)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2nc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cc(-c3cccnc3)ccn2)n1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2nc(N)ncc2Cl)c1; ['COc1ccc(F)c(C(N)=O)c1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9996448755264282]
+Nc1ncc(Cl)c(-c2ccc(OC(F)(F)F)cc2)n1; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [0.9999997615814209, 0.9999995231628418, 0.9999992847442627, 0.9999979734420776]
+Nc1ncc(Cl)c(-c2cccc(NC(=O)N3CCCC3)c2)n1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
+COc1ccc2nc(-c3nc(N)ncc3Cl)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1']; ['Nc1ncc(Cl)c(C(=O)O)n1', 'Cc1nc(N)ncc1Cl']; [0.9999858140945435, 0.9998691082000732]
+Cn1cc(-c2nc(N)ncc2Cl)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9998500347137451, 0.9950975179672241]
+CN(C)c1ccc(-c2nc(N)ncc2Cl)cn1; ['CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999302625656128, 0.9998668432235718, 0.9992052912712097]
+Cn1ncc2cc(-c3nc(N)ncc3Cl)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)cn1']; [0.9999996423721313, 0.9999986290931702, 0.9999892115592957, 0.9999862909317017, 0.999955415725708, 0.9755388498306274, 0.9665384888648987]
+Cc1cc(-c2nc(N)ncc2Cl)cc(C)c1OCCO; [None]; [None]; [0]
+CCc1cccc(-c2nc(N)ncc2Cl)n1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3nc(N)ncc3Cl)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999982118606567, 0.9999756813049316]
+Nc1ncc(Cl)c(-c2ncn3c2CCCC3)n1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3nc(N)ncc3Cl)[nH]c2c1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3nc(N)ncc3Cl)ccc21; [None]; [None]; [0]
+Nc1ncc(Cl)c(NC(=O)c2cccc(OC(F)(F)F)c2)n1; ['NC(=O)c1cccc(OC(F)(F)F)c1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9998319745063782]
+Nc1ncc(Cl)c(-c2ccc(CCO)cc2)n1; ['Nc1ncc(Cl)c(I)n1', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1']; ['OCCc1ccc(B(O)O)cc1', 'Nc1ncc(Cl)c(Cl)n1', 'OCCc1ccc(B(O)O)cc1']; [0.999484658241272, 0.9993973970413208, 0.995215892791748]
+Nc1ncc(Cl)c(-c2cccc(N3CCCC3=O)c2)n1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.999997615814209, 0.9999549388885498]
+CC(=O)N1CCC(n2cc(-c3nc(N)ncc3Cl)cn2)CC1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1nc(N)ncc1Cl; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9985781908035278]
+COc1cc(N2CCNCC2)ccc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc(N)ncc2Cl)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9999626874923706]
+CN(C)C(=O)c1ccc(-c2nc(N)ncc2Cl)c(Cl)c1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3nc(N)ncc3Cl)cc2)n1C; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9985142946243286]
+CS(=O)(=O)c1ccc(Cl)c(-c2nc(N)ncc2Cl)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9867663383483887]
+CCNC(=O)Cc1ccc(-c2nc(N)ncc2Cl)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9840326309204102]
+Cn1nc(-c2nc(N)ncc2Cl)cc1C(C)(C)O; [None]; [None]; [0]
+CCOc1ccccc1-c1nc(N)ncc1Cl; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; [0.99906325340271, 0.9981414079666138, 0.9969317317008972, 0.9928220510482788]
+CNC(=O)c1ccccc1-c1nc(N)ncc1Cl; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1Br']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9864977598190308, 0.9523240923881531]
+CNC(=O)c1ccc(C)c(-c2nc(N)ncc2Cl)c1; [None]; [None]; [0]
+COC(C)(C)CCc1nc(N)ncc1Cl; ['COC(C)(C)CBr']; ['Cc1nc(N)ncc1Cl']; [0.8670580983161926]
+Cc1ccc(C(=O)NCCO)cc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc(N)ncc2Cl)nc1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1nc(N)ncc1Cl; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2nc(N)ncc2Cl)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1nc(N)ncc1Cl; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1']; [0.9974890947341919, 0.9953320622444153, 0.990647554397583]
+Nc1ncc(Cl)c(-c2cccc(C(F)(F)F)c2)n1; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1', None]; ['OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1cccc(C(F)(F)F)c1', None]; [0.9999701976776123, 0.9999158382415771, 0.9998379945755005, 0.9995044469833374, 0]
+Nc1ncc(Cl)c(-c2ccccc2OC(F)(F)F)n1; ['Nc1ncc(Cl)c(I)n1', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1', 'FC(F)(F)Oc1ccccc1Br']; ['OB(O)c1ccccc1OC(F)(F)F', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999673366546631, 0.9999574422836304, 0.9990622997283936, 0.995936393737793]
+CP(C)(=O)c1ccccc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccccc2C(=O)[O-])n1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1nc(N)ncc1Cl; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9974344968795776, 0.9372936487197876, 0.8241266012191772, 0.7560948133468628]
+Nc1ncc(Cl)c(-c2ccnc3ccccc23)n1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Brc1ccnc2ccccc12', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccnc2ccccc12', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.9998875856399536, 0.997491717338562, 0.9931871294975281, 0.966887354850769, 0.9401721954345703, 0.9337400794029236]
+Nc1ncc(Cl)c(-c2cnn(Cc3ccccc3)c2)n1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999942779541016, 0.9999161958694458, 0.9998668432235718, 0.9972943663597107]
+Nc1ncc(Cl)c(Cc2cc(F)cc(F)c2)n1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3nc(N)ncc3Cl)cc2c1=O; [None]; [None]; [0]
+CC(C)C(=O)COc1nc(N)ncc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cc(Cl)ccc2Cl)n1; ['Nc1ncc(Cl)c(I)n1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; ['OB(O)c1cc(Cl)ccc1Cl', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9982777237892151, 0.9982665777206421, 0.9930387139320374, 0.9472625255584717]
+Nc1ncc(Cl)c(-c2cccc(NC(=O)c3ccccc3)c2)n1; ['Nc1ncc(Cl)c(I)n1', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Nc1ncc(Cl)c(Cl)n1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999394416809082, 0.9999285340309143, 0.9998898506164551]
+Cc1ccc(-c2nc(N)ncc2Cl)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9928978681564331, 0.9298589825630188, 0.8968350887298584]
+Cc1nc2ccccn2c1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+CNc1nc(C)c(-c2nc(N)ncc2Cl)s1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2nc(N)ncc2Cl)cs1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-n2ncc3cccc(F)c3c2=O)n1; [None]; [None]; [0]
+COc1cnc(-c2nc(N)ncc2Cl)nc1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cnc3ccccn23)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2c(Cl)cccc2Cl)n1; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9967069625854492, 0.9947787523269653, 0.9775223731994629]
+Cc1nc(N)sc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cccc(Br)c2)n1; ['Nc1ncc(Cl)c(I)n1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', None]; ['OB(O)c1cccc(Br)c1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', None]; [0.9999245405197144, 0.9997583031654358, 0.999433696269989, 0.9990060329437256, 0]
+Cc1ccc(Cl)c(-c2nc(N)ncc2Cl)c1; ['Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9987829923629761, 0.9966520667076111, 0.9687798023223877, 0.9639122486114502]
+Nc1ncc(Cl)c(-c2cnn3ncccc23)n1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9997381567955017]
+Nc1ncc(Cl)c(-c2ccc3ccccc3c2)n1; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1', 'Brc1ccc2ccccc2c1', None]; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccc2ccccc2c1', 'Nc1ncc(Cl)c(Cl)n1', None]; [0.9999688863754272, 0.9998875856399536, 0.9998521208763123, 0.9996891021728516, 0.9950243234634399, 0]
+Nc1ncc(Cl)c(Nc2cccnc2)n1; ['Nc1cccnc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.8407965898513794]
+Nc1ncc(Cl)c(NCc2cccnc2)n1; ['NCc1cccnc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9999419450759888]
+Nc1ncc(Cl)c(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-n2cnc3ccccc32)n1; ['Nc1ncc(Cl)c(Cl)n1']; ['c1ccc2[nH]cnc2c1']; [0.9936534762382507]
+Nc1ncc(Cl)c(NCCc2c[nH]cn2)n1; ['NCCc1c[nH]cn1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9963518381118774]
+Nc1ncc(Cl)c(NC(=O)c2cccs2)n1; ['NC(=O)c1cccs1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9363989233970642]
+Nc1ncc(Cl)c(NCCc2ccccc2)n1; ['NCCc1ccccc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9980231523513794]
+Nc1ncc(Cl)c(-c2c[nH]nc2C(F)(F)F)n1; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Br']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9976499676704407, 0.9797561168670654]
+NC(=O)c1c(F)cccc1-c1nc(N)ncc1Cl; ['NC(=O)c1c(F)cccc1Br']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9994034767150879]
+Nc1ncc(Cl)c(-c2cncc3ccccc23)n1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Brc1cncc2ccccc12']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999679327011108, 0.9989087581634521, 0.9976592063903809, 0.9899740219116211, 0.9686706066131592, 0.8756672739982605]
+Cn1cc(-c2ccc(-c3nc(N)ncc3Cl)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.999995768070221]
+Nc1nccc(-c2nc(N)ncc2Cl)n1; [None]; [None]; [0]
+Cc1c(-c2nc(N)ncc2Cl)sc(=O)n1C; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cccc(CO)c2)n1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(Cl)n1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1']; [0.9979820251464844, 0.9933139085769653, 0.9472105503082275]
+Nc1ncc(Cl)c(-c2cccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(NCc2ccc(Cl)cc2)n1; ['NCc1ccc(Cl)cc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9999942779541016]
+Nc1ncc(Cl)c(-c2ccc(-c3cn[nH]c3)cc2)n1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999838471412659, 0.9999061822891235]
+Nc1ncc(Cl)c(Nc2ccncc2)n1; ['Nc1ccncc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9976522922515869]
+Nc1ncc(Cl)c(NCc2ccccc2F)n1; ['NCc1ccccc1F']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9999983906745911]
+Nc1ncc(Cl)c(-c2ccc3c(N)[nH]nc3c2)n1; [None]; [None]; [0]
+CN1c2ccc(-c3nc(N)ncc3Cl)cc2CS1(=O)=O; [None]; [None]; [0]
+CCCn1cnc(-c2nc(N)ncc2Cl)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2csc3ncncc23)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(CCc2c[nH]nn2)n1; [None]; [None]; [0]
+CC(C)n1cc(-c2nc(N)ncc2Cl)nn1; [None]; [None]; [0]
+COc1cc(-c2nc(N)ncc2Cl)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(C)c1oncc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cncnc2N)n1; [None]; [None]; [0]
+CSc1nc(-c2nc(N)ncc2Cl)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2nc(N)ncc2Cl)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.999809741973877, 0.9997345209121704, 0.9975228309631348]
+CCC(=O)Nc1ccc(-c2nc(N)ncc2Cl)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9998870491981506]
+Nc1ncc(Cl)c(Oc2ccccn2)n1; ['Nc1ncc(Cl)c(Cl)n1']; ['Oc1ccccn1']; [0.9631574749946594]
+Nc1ncc(Cl)c(-c2cc3ccccc3[nH]2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccc(F)cc2C(F)(F)F)n1; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9999840259552002, 0.9997036457061768, 0.9994716644287109]
+CS(=O)(=O)C1CCN(c2nc(N)ncc2Cl)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9991494417190552]
+Nc1ncc(Cl)c(NC(=O)c2c(Cl)cccc2Cl)n1; ['NC(=O)c1c(Cl)cccc1Cl']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9993632435798645]
+CCNc1nc2ccc(-c3nc(N)ncc3Cl)cc2s1; [None]; [None]; [0]
+COc1ccc(-c2nc(N)ncc2Cl)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.99997878074646, 0.9999593496322632, 0.9998964071273804, 0.9983221292495728, 0.993269681930542]
+CC(C)(COc1nc(N)ncc1Cl)S(C)(=O)=O; [None]; [None]; [0]
+CCCn1cc(-c2nc(N)ncc2Cl)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999725818634033, 0.9993230700492859]
+Nc1ncc(Cl)c(-c2cnn3ccccc23)n1; ['Nc1ncc(Cl)c(I)n1', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Nc1ncc(Cl)c(Cl)n1']; ['OB(O)c1cnn2ccccc12', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1cnn2ccccc12']; [0.9999740719795227, 0.9998369216918945, 0.9946834444999695]
+CC(C)(O)CC(=O)NCCc1nc(N)ncc1Cl; [None]; [None]; [0]
+NC(=O)CCCc1nc(N)ncc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cc[nH]c(=O)c2)n1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9997559785842896]
+Nc1ncc(Cl)c(-c2cccc3c2C(=O)CC3)n1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2nc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccc(C[NH3+])c(C(F)(F)F)c2)n1; [None]; [None]; [0]
+CCN(CC)c1nc(N)ncc1Cl; ['CCNCC']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9959935545921326]
+CCNS(=O)(=O)c1ccccc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+C[C@@H](Oc1nc(N)ncc1Cl)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9867515563964844]
+COc1cc(CCc2nc(N)ncc2Cl)cc(OC)c1; ['COc1cc(CCl)cc(OC)c1', 'COc1cc(CBr)cc(OC)c1', 'COc1cc(CCBr)cc(OC)c1', 'COc1cc(CO)cc(OC)c1']; ['Cc1nc(N)ncc1Cl', 'Cc1nc(N)ncc1Cl', 'Nc1ncc(Cl)c(Cl)n1', 'Cc1nc(N)ncc1Cl']; [0.9737632870674133, 0.9299118518829346, 0.9161303043365479, 0.8601312637329102]
+COc1ccncc1Nc1nc(N)ncc1Cl; ['COc1ccncc1N']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9990062117576599]
+Nc1ncc(Cl)c(Nc2cnccc2-c2ccccc2)n1; ['Nc1cnccc1-c1ccccc1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9971588253974915]
+COc1cccc(F)c1-c1nc(N)ncc1Cl; ['COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999525547027588, 0.9999215602874756, 0.999858021736145, 0.9995212554931641, 0.9990302920341492]
+Nc1ncc(Cl)c(Nc2cnc3ccccc3c2)n1; ['Nc1cnc2ccccc2c1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9613059759140015]
+CC(C)Oc1cncc(-c2nc(N)ncc2Cl)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999150037765503, 0.9998834729194641, 0.9997327923774719]
+C[S@](=O)c1ccc(-c2nc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cc3c(=O)[nH]cc(Br)c3s2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cc3c(=O)[nH]ccc3o2)n1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999762773513794, 0.9992799758911133]
+Nc1ncc(Cl)c(-c2cnc3[nH]ccc3c2)n1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999788999557495, 0.9998984336853027, 0.9991689920425415]
+Nc1ncc(Cl)c(-c2c[nH]c3cnccc23)n1; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'c1cc2cc[nH]c2cn1']; [0.99993896484375, 0.9998911619186401, 0.9975436925888062]
+CS(=O)(=O)c1ccc(-c2nc(N)ncc2Cl)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999901056289673, 0.9997633695602417, 0.9992907047271729, 0.996006429195404]
+CNC(=O)c1c(F)cccc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+C[C@H](Nc1nc(N)ncc1Cl)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Nc1ncc(Cl)c(-n2ccc(CO)n2)n1; ['Nc1ncc(Cl)c(Cl)n1']; ['OCc1cc[nH]n1']; [0.8585770130157471]
+CC1(c2nc(N)ncc2Cl)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CN(c1nc(N)ncc1Cl)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@H](Nc1nc(N)ncc1Cl)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9720386266708374, 0.9589078426361084]
+C[C@@H](Nc1nc(N)ncc1Cl)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9589078426361084]
+Nc1ncc(Cl)c(-n2ncc3ccccc32)n1; ['Nc1ncc(Cl)c(Cl)n1']; ['c1ccc2[nH]ncc2c1']; [0.994080662727356]
+Nc1ncc(Cl)c(-n2cnc(CCO)c2)n1; ['Nc1ncc(Cl)c(Cl)n1']; ['OCCc1c[nH]cn1']; [0.9645551443099976]
+Nc1ncc(Cl)c(-c2c(F)cccc2Cl)n1; ['Nc1ncc(Cl)c(I)n1', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Nc1ncc(Cl)cn1', 'Fc1cccc(Cl)c1Br', 'Nc1ncc(Cl)c(Cl)n1']; ['OB(O)c1c(F)cccc1Cl', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1c(F)cccc1Cl', 'Nc1ncc(Cl)c(Cl)n1', 'OB(O)c1c(F)cccc1Cl']; [0.9999446272850037, 0.9999176859855652, 0.9999043941497803, 0.9995824098587036, 0.99896240234375]
+Nc1ncc(Cl)c(-n2ncc3c(O)cccc32)n1; ['Nc1ncc(Cl)c(Cl)n1']; ['Oc1cccc2[nH]ncc12']; [0.9990491271018982]
+Nc1ncc(Cl)c(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
+Cc1cc(-c2nc(N)ncc2Cl)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+COc1ccc(-c2nc(N)ncc2Cl)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999611377716064, 0.9990646243095398, 0.9952749013900757, 0.9915400743484497, 0.9819881916046143, 0.8899732828140259]
+Nc1ncc(Cl)c(-c2ccc(C(=O)c3ccccc3)cc2)n1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9999683499336243, 0.9998795986175537, 0.9996523857116699, 0.9990777969360352, 0.977552056312561]
+CSc1nc(C)c(-c2nc(N)ncc2Cl)[nH]1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2nncn2C2CC2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ccn(CC[NH3+])n2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(Cc2nnc3ccc(-c4ccccc4)nn23)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(CCC(=O)NCc2ccccn2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(CS(=O)(=O)NCc2ccccn2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2nnc(N)s2)n1; [None]; [None]; [0]
+CCc1cc(-c2nc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2nc(N)ncc2Cl)CC1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
+CCCCc1cc(-c2nc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc(N)ncc2Cl)s1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2nc3ccccc3s2)n1; ['CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9965646266937256]
+Nc1ncc(Cl)c(-c2cccc3ccsc23)n1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9990721940994263]
+Cn1cc(C(N)=O)cc1-c1nc(N)ncc1Cl; [None]; [None]; [0]
+Nc1ncc(Cl)c(Oc2ccc(C[NH3+])cc2F)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2cccc3nnsc23)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2nc(N)ncc2Cl)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3nc(N)ncc3Cl)c2)cc1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3nc(N)ncc3Cl)nc2NC1=O; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2c[nH]c3cccnc23)n1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Nc1ncc(Cl)c(Cl)n1']; [0.999586284160614]
+COc1ccc(C#N)cc1-c1nc(N)ncc1Cl; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O']; ['Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9998131990432739, 0.9997285604476929, 0.999519944190979, 0.9988415241241455]
+Nc1cncc(-c2nc(N)ncc2Cl)n1; [None]; [None]; [0]
+COc1ccc(Oc2nc(N)ncc2Cl)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9911103844642639]
+CC(=O)Nc1ncc(-c2nc(N)ncc2Cl)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2nc(N)ncc2Cl)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(Cl)n1']; [0.999854564666748, 0.9998489618301392, 0.9987885355949402, 0.994720995426178]
+Nc1ncc(Cl)c(-c2cn(CCO)cn2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
+Nc1ncc(Cl)c(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2nc(N)ncc2Cl)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1ncc(Cl)c(Cl)n1', 'Nc1ncc(Cl)c(I)n1', 'Nc1ncc(Cl)cn1', 'Nc1ncc(Cl)c(Cl)n1']; [0.9999704360961914, 0.9997769594192505, 0.9989979267120361, 0.9958794116973877]
+Nc1ncc(Cl)c(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; ['Nc1ncc(Cl)c(Cl)n1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9993051290512085]
+Nc1ncc(Cl)c(N2CC=C(c3c[nH]c4ccccc34)CC2)n1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Nc1ncc(Cl)c(Cl)n1']; [0.9997251033782959]
+Nc1ncc(Cl)c(-c2cccc(NC(=O)C3CCNCC3)c2)n1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2ccncc2O)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9990856647491455, 0.9984189867973328]
+CCOc1ccc(-c2ccncc2O)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999632835388184, 0.9998810291290283, 0.9997464418411255, 0.9987926483154297, 0.9954173564910889, 0.9946081638336182]
+Oc1cnccc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+COc1ncccc1-c1ccncc1O; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O']; ['Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br']; [0.9983425140380859, 0.9983136057853699, 0.9975689649581909, 0.9144241809844971]
+COc1cc(-c2ccncc2O)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cccc(OC)c1OC']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1I']; [0.9998581409454346, 0.9997204542160034, 0.9988653659820557, 0.9985975027084351, 0.9984130859375, 0.8102158308029175]
+CS(=O)(=O)c1cccc(-c2ccncc2O)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999887943267822, 0.9998905658721924, 0.9992836713790894, 0.9937233924865723, 0.9650954008102417]
+CN(C)c1cc(-c2nc(N)ncc2Cl)cnn1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2nc(N)ncc2Cl)CC1; [None]; [None]; [0]
+Oc1cnccc1-c1cnc2cccnn12; [None]; [None]; [0]
+COc1ccc(-c2ccncc2O)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', None]; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', None]; [0.9999645948410034, 0.9998328685760498, 0.9998024106025696, 0.9990882873535156, 0.9951742887496948, 0.9908618330955505, 0]
+Cc1nc(C(C)(C)O)sc1-c1ccncc1O; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2ccncc2O)c1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ccncc3O)c2c1; [None]; [None]; [0]
+Oc1cnccc1-c1ccc(N2CCOCC2)cc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'O=C(ON1CCOCC1)c1ccccc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1-c1ccccc1']; [0.9999970197677612, 0.9999881982803345, 0.9999575614929199, 0.9999364018440247, 0.9996382594108582, 0.9995110630989075, 0.9987812042236328, 0.9486570954322815]
+Oc1cccc(-c2ccncc2O)c1; [None]; [None]; [0]
+Oc1cnccc1-c1nc2ccccc2[nH]1; ['Nc1ccccc1N', 'Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'Oc1cnccc1I']; ['O=C(O)c1ccncc1O', 'O=Cc1ccncc1O', 'O=Cc1ccncc1O', 'c1ccc2[nH]cnc2c1']; [0.9980032444000244, 0.9920158386230469, 0.9213706254959106, 0.8262346982955933]
+O=C([O-])c1ccc(-c2ccncc2O)cc1; [None]; [None]; [0]
+Oc1cnccc1Nc1ncccn1; ['Clc1ncccn1', 'Nc1ncccn1', 'Brc1ncccn1', 'CSc1ncccn1']; ['Nc1ccncc1O', 'Oc1cnccc1Cl', 'Nc1ccncc1O', 'Nc1ccncc1O']; [0.9941554069519043, 0.9879923462867737, 0.9878080487251282, 0.8953973054885864]
+Oc1cnccc1-c1nccc2ccccc12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccncc2O)c1)C1CC1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccncc2O)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl']; [0.9999547004699707, 0.9996899366378784, 0.9991720914840698, 0.9965540170669556, 0.9925058484077454, 0.9590251445770264, 0.9556711912155151, 0.9524399638175964]
+CC(=O)NCc1ccc(-c2ccncc2O)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999386072158813, 0.9990364909172058, 0.9987565279006958, 0.9948253631591797, 0.9834672212600708]
+OCCOc1ccc(-c2ccncc2O)cc1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1']; ['Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br']; [0.9999649524688721, 0.9992467761039734, 0.9914207458496094]
+O=C(Nc1ccccc1)c1ccc(-c2ccncc2O)cc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999863505363464, 0.9997725486755371, 0.9996497631072998, 0.9984478950500488, 0.983135461807251, 0.9747123718261719]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccncc3O)cc2)CC1; [None]; [None]; [0]
+O=C(c1ccc(-c2ccncc2O)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999997019767761, 0.9999961853027344, 0.999990701675415, 0.9999816417694092, 0.9998403191566467, 0.9996196627616882, 0.970474898815155]
+N#Cc1cccc(Cn2cc(-c3ccncc3O)cn2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccncc2O)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999545812606812, 0.9991589188575745, 0.9988046288490295, 0.9981334209442139, 0.9755825400352478, 0.9504194259643555]
+Oc1cnccc1-c1ccc(C(F)(F)F)cc1; ['OB(O)c1ccc(C(F)(F)F)cc1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9998729228973389, 0.999823808670044, 0.9985926151275635, 0.9978015422821045, 0.9950532913208008]
+O=C(c1ccc(-c2ccncc2O)nc1)N1CCOCC1; [None]; [None]; [0]
+Oc1cnccc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccncc2O)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999644756317139, 0.9998171329498291, 0.9993921518325806, 0.9991457462310791, 0.9973191022872925, 0.9958391189575195]
+O=S1(=O)Cc2ccc(-c3ccncc3O)cc2C1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2ccncc2O)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999839663505554, 0.999935507774353, 0.9997738599777222, 0.999404788017273, 0.9983634948730469, 0.9918591976165771]
+C[C@H](O)COc1ccc(-c2ccncc2O)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccncc2O)s1; ['Cc1csc(C)n1']; ['Oc1cnccc1Br']; [0.9959263801574707]
+C[C@@H](O)COc1ccc(-c2ccncc2O)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2ccncc2O)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCN']; ['Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1-c1ccccc1']; [0.9985277056694031, 0.9718348383903503, 0.9706403613090515, 0.9022787809371948]
+Oc1ccccc1Cc1ccncc1O; [None]; [None]; [0]
+CC(C)c1cc(-c2ccncc2O)nc(N)n1; [None]; [None]; [0]
+Nc1ncc(Cc2ccncc2O)cn1; [None]; [None]; [0]
+CCCOc1ccc(-c2ccncc2O)nc1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2ccncc2O)CC1; [None]; [None]; [0]
+Oc1cnccc1-c1ccc(Br)cc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999870657920837, 0.999595582485199, 0.9993765354156494, 0.9987746477127075, 0.9428361654281616, 0.8257051706314087]
+O=C(c1ccccc1)N1CC[C@H](c2ccncc2O)C1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3ccncc3O)c2)CC1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccncc2O)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999889135360718, 0.9999217391014099, 0.9997638463973999, 0.8570802211761475]
+COc1ccc(Cc2ccncc2O)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ccncc2O)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999961853027344, 0.9999678134918213, 0.999940037727356, 0.999653697013855, 0.9924924373626709, 0.9736921191215515, 0.9453969597816467]
+Cc1c(C(=O)[O-])cccc1-c1ccncc1O; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccncc2O)c(C)c1; ['CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9993571043014526, 0.9989235401153564, 0.997721791267395, 0.9961815476417542, 0.995583176612854]
+Oc1cnccc1-c1ccccc1-n1cccn1; ['OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Oc1cnccc1Br', 'Brc1ccccc1-n1cccn1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'c1ccc(-n2cccn2)cc1', 'Oc1cccnc1']; [0.9997580051422119, 0.9987872838973999, 0.9388265609741211, 0.7666041254997253]
+Oc1cnccc1-c1ccn2nccc2n1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1ccncc1O; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9996253252029419, 0.9995829463005066, 0.9976692199707031, 0.9970427751541138, 0.9968761205673218, 0.9923661351203918]
+Oc1cnccc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Oc1cnccc1I', 'OB(O)c1c[nH]c2ccccc12']; ['Oc1cnccc1Br', 'c1ccc2[nH]ccc2c1', 'Oc1cnccc1Br']; [0.9930229187011719, 0.8723127841949463, 0.8609492778778076]
+Oc1cnccc1-c1ccc2c(c1)CCO2; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'OB(O)c1ccc2c(c1)CCO2']; ['Oc1cnccc1Br', 'Oc1cnccc1Br']; [0.9999716281890869, 0.999275803565979]
+CC(C)c1ccc2nc(-c3ccncc3O)[nH]c2c1; ['CC(C)c1ccc(N)c([N+](=O)[O-])c1']; ['O=Cc1ccncc1O']; [0.9997262954711914]
+COc1cc(OC)c(-c2ccncc2O)cc1Cl; ['COc1ccc(Cl)c(OC)c1']; ['Oc1cnccc1I']; [0.7967839241027832]
+CC(=O)Nc1cccc(-c2ccncc2O)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cccnc1']; [0.9999611377716064, 0.9998346567153931, 0.9994779825210571, 0.998661994934082, 0.9919151067733765, 0.9716634154319763, 0.931662917137146]
+COc1cc(-c2ccncc2O)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.999950647354126, 0.9998270273208618, 0.9996258020401001, 0.9975727200508118, 0.9948493838310242, 0.9884580373764038, 0.7513108253479004]
+Oc1cnccc1-c1cccc2c1OCO2; ['OB(O)c1cccc2c1OCO2']; ['Oc1cnccc1Br']; [0.9898157119750977]
+CC(C)(C)c1ccc(-c2ccncc2O)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999856948852539, 0.9999327063560486, 0.9997435212135315, 0.999709963798523, 0.9969066381454468, 0.9962031841278076]
+Oc1cnccc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+Oc1cnccc1-c1scc2c1OCCO2; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1ccncc1O; [None]; [None]; [0]
+Oc1cnccc1Cc1nc2ccc(F)c(F)c2[nH]1; [None]; [None]; [0]
+Oc1cnccc1-c1cnc2ccccc2c1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'OB(O)c1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9998360872268677, 0.9997922778129578, 0.9993423223495483, 0.9965153932571411, 0.9909005165100098, 0.9690301418304443]
+CN(C)C(=O)c1ccc(-c2ccncc2O)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999924898147583, 0.9998723268508911, 0.9997887015342712, 0.999783992767334, 0.9983085989952087, 0.9959496259689331]
+Oc1cnccc1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccncc2O)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999836087226868, 0.9998770952224731, 0.9998352527618408, 0.9995253086090088, 0.9989323616027832, 0.9961386919021606, 0.9603768587112427]
+Nc1nc(-c2ccncc2O)cs1; ['CC(=O)c1ccncc1O', None]; ['NC(N)=S', None]; [0.9971427321434021, 0]
+COc1cccc(C(=O)Nc2ccncc2O)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1']; ['Nc1ccncc1O', 'Nc1ccncc1O']; [0.9996275901794434, 0.9979912042617798]
+Oc1cnccc1Cc1nc2ccccc2[nH]1; [None]; [None]; [0]
+Oc1cnccc1CCCc1ccccc1; ['Br[Mg]CCCc1ccccc1', 'Br[Mg]CCCc1ccccc1']; ['Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9551131725311279, 0.809686005115509]
+CSc1ccc(-c2ccncc2O)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.999983549118042, 0.9997972846031189, 0.9997273087501526, 0.9984997510910034, 0.9857160449028015, 0.979449987411499]
+Cc1ccc(-c2ccncc2O)c(=O)[nH]1; [None]; [None]; [0]
+Oc1cnccc1-c1cc2ccccc2s1; ['CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1']; ['Oc1cnccc1I']; [0.9999033212661743]
+Oc1cnccc1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3ccncc3O)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9986836314201355, 0.9481698870658875, 0.9353008270263672]
+Oc1cnccc1-c1ccc(F)cc1Cl; ['OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9998008012771606, 0.9978254437446594, 0.9890743494033813]
+Cc1cc(-c2ccncc2O)nc(N)n1; ['Cc1cc(Br)nc(N)n1']; ['Oc1cnccc1Br']; [0.9242491722106934]
+CC(=O)N[C@@H]1CC[C@@H](c2ccncc2O)CC1; [None]; [None]; [0]
+Oc1cnccc1-c1ncc(Br)cn1; [None]; [None]; [0]
+O=C1CCc2cc(-c3ccncc3O)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1I']; [0.9996455907821655, 0.9981626868247986, 0.966920018196106, 0.8920468091964722, 0.888769268989563]
+CCc1ccc(-c2ccncc2O)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999710321426392, 0.9998080134391785, 0.9995214939117432, 0.9972983002662659, 0.9783109426498413, 0.9638053178787231]
+COc1ccc(-c2ccncc2O)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccccc1OC']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I']; [0.999770998954773, 0.9996439814567566, 0.9980816841125488, 0.9969933032989502, 0.9936437010765076, 0.8108067512512207]
+CC[C@@H](CO)c1ccncc1O; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)c1ccncc1O; [None]; [None]; [0]
+Oc1cnccc1-c1ccc(Cl)cc1Cl; ['OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9995976686477661, 0.9979417324066162, 0.988495945930481]
+Cn1cc(-c2ccncc2O)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br']; [0.9999352097511292, 0.999662458896637, 0.9995784163475037]
+Oc1cnccc1-c1ncc2cccn2n1; [None]; [None]; [0]
+Oc1cnccc1-c1cc2ccccn2n1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccncc2O)cc1; [None]; [None]; [0]
+COc1cc(-c2ccncc2O)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999690055847168, 0.9990338087081909, 0.9981021881103516]
+Oc1cnccc1CCCn1cncn1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3ccncc3O)ccc2O1; [None]; [None]; [0]
+COc1cc(-c2ccncc2O)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999778866767883, 0.9999546408653259, 0.9997845888137817, 0.9976617693901062, 0.9969402551651001]
+Oc1cnccc1-c1ncc(Cl)cn1; [None]; [None]; [0]
+Cc1csc2c(-c3ccncc3O)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccncc2O)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999558329582214, 0.9996759295463562, 0.9991811513900757, 0.9990361928939819, 0.9912303686141968, 0.9880162477493286]
+COc1cc(F)c(-c2ccncc2O)cc1OC; ['COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Br']; [0.9997347593307495, 0.999485194683075, 0.999421238899231, 0.9953806400299072]
+OCCn1cc(-c2ccncc2O)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9996458888053894, 0.9985361099243164, 0.9962257742881775, 0.8801012635231018, 0.7579054832458496]
+Oc1ccc2cccc(-c3ccncc3O)c2c1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Oc1cnccc1Br']; [0.9995427131652832]
+COc1ccc2cccc(-c3ccncc3O)c2c1; [None]; [None]; [0]
+COc1cc(-c2ccncc2O)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['Oc1cnccc1I', 'Oc1cnccc1Cl']; [0.9991915822029114, 0.9922555685043335]
+Nc1cc(-c2ccncc2O)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccncc2O)nc1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccncc2O)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999353885650635, 0.9998339414596558, 0.9997795820236206, 0.999099612236023, 0.998023509979248, 0.9962455034255981]
+COc1ccc(OC)c(Cc2ccncc2O)c1; ['COc1ccc(OC)c(CCl)c1', 'COc1ccc(OC)cc1']; ['Oc1cnccc1Br', 'OCc1ccncc1O']; [0.8838517665863037, 0.7647578716278076]
+COc1cc(CS(C)(=O)=O)ccc1-c1ccncc1O; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ccncc2O)CC1; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2ccncc2O)c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2ccncc2O)CC1; [None]; [None]; [0]
+Oc1cnccc1-c1ccc2cn[nH]c2c1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl']; [0.999809741973877, 0.9995542764663696, 0.9991424083709717, 0.9967833161354065, 0.9755449295043945, 0.9716694951057434]
+CCn1cc(-c2ccncc2O)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br']; [0.9991046786308289, 0.9982951283454895, 0.987110435962677, 0.8759859800338745]
+COc1ccc2oc(-c3ccncc3O)cc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ccncc2O)c1; [None]; [None]; [0]
+Oc1cnccc1-c1cc2ccccc2o1; ['OB(O)c1cc2ccccc2o1']; ['Oc1cnccc1Br']; [0.9990417957305908]
+C[NH+](C)Cc1ccc(-c2ccncc2O)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1ccncc1O; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Oc1cnccc1Br']; [0.9990437626838684]
+COc1ccc2c(c1)c(-c1ccncc1O)cn2C; [None]; [None]; [0]
+Oc1cnccc1-c1ncc2sccc2n1; [None]; [None]; [0]
+Oc1cnccc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2ccncc2O)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['Nc1ccncc1O']; [0.999955415725708]
+O=C(Nc1cccc(-c2ccncc2O)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3ccncc3O)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1']; ['O=C(O)c1ccncc1O', 'O=Cc1ccncc1O']; [0.9968038201332092, 0.9824845790863037]
+Cn1cc(Br)cc1-c1ccncc1O; [None]; [None]; [0]
+Oc1cnccc1-c1ccc(OC(F)(F)F)cc1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccc(I)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cccnc1', 'Oc1cnccc1Br', 'Oc1cccnc1']; [0.9999995231628418, 0.9999970197677612, 0.999991774559021, 0.9999875426292419, 0.9999479055404663, 0.9999226331710815, 0.9870668649673462, 0.971063494682312, 0.9686481952667236, 0.8961291909217834, 0.8580055832862854]
+CCc1cccc(-c2ccncc2O)n1; [None]; [None]; [0]
+Cn1cc(-c2ccncc2O)c2ccccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccncc2O)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc([Zn]Br)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(Br)cn1']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999488592147827, 0.9997233748435974, 0.9995672106742859, 0.9993996620178223, 0.9992870092391968, 0.9977748394012451, 0.9972926378250122, 0.883602499961853]
+Cn1ncc2cc(-c3ccncc3O)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl']; [0.9999778866767883, 0.9999566078186035, 0.9998332262039185, 0.9993929862976074, 0.997687578201294, 0.9958326816558838]
+Cc1cc(-c2ccncc2O)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3ccncc3O)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ccncc3O)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br']; [0.9999762773513794, 0.9999585151672363, 0.9999265670776367, 0.9996103048324585, 0.9983575940132141, 0.994135856628418, 0.9936636686325073, 0.9159740805625916]
+O=C(Nc1ccncc1O)c1cccc(OC(F)(F)F)c1; ['Nc1ccncc1O', 'Nc1ccncc1O', 'COC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'Nc1ccncc1O']; [0.9999133348464966, 0.9974061250686646, 0.9546616077423096]
+Oc1cnccc1-c1ncn2c1CCCC2; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2ccncc2O)c1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['Oc1cnccc1Cl']; [0.9990625977516174]
+CC(=O)N1CCC(n2cc(-c3ccncc3O)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999528527259827, 0.9999426603317261, 0.9993280172348022]
+CC(C)(O)c1ccc2cc(-c3ccncc3O)[nH]c2c1; [None]; [None]; [0]
+OCCc1ccc(-c2ccncc2O)cc1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'OCCc1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999498128890991, 0.9997102618217468, 0.9982906579971313, 0.995343029499054, 0.9891316890716553, 0.9367653131484985]
+CNC(=O)c1ccc(-c2ccncc2O)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9968676567077637, 0.9960492849349976]
+CN(C)C(=O)c1ccc(-c2ccncc2O)c(Cl)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1ccncc1O; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1ccncc1O; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3ccncc3O)cc2)n1C; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccncc2O)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9963128566741943, 0.9551711082458496, 0.9512747526168823]
+COc1cc(S(C)(=O)=O)ccc1-c1ccncc1O; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1ccncc1O; [None]; [None]; [0]
+Cn1nc(-c2ccncc2O)cc1C(C)(C)O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccncc2O)nc1; ['CN(C)C(=O)c1ccc(Br)nc1']; ['Oc1cnccc1Br']; [0.8147739768028259]
+C[C@H](CS(C)(=O)=O)c1ccncc1O; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccncc2O)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2ccncc2O)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccncc1O; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O']; ['Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.999731183052063, 0.999687910079956, 0.9995535612106323, 0.9987426996231079]
+CNC(=O)c1ccccc1-c1ccncc1O; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1ccncc1O; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2ccncc2O)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccncc1O; [None]; [None]; [0]
+Oc1cnccc1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccncc1O; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9977943301200867, 0.9929265379905701, 0.990925133228302]
+Cc1nnc(-c2ccccc2-c2ccncc2O)[nH]1; [None]; [None]; [0]
+COC(C)(C)CCc1ccncc1O; [None]; [None]; [0]
+Oc1cnccc1-c1cccc(C(F)(F)F)c1; ['OB(O)c1cccc(C(F)(F)F)c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999092817306519, 0.9998999834060669, 0.9981749057769775, 0.997939944267273, 0.9854174852371216]
+Oc1cnccc1-c1ccnc2ccccc12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'Brc1ccnc2ccccc12']; ['Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9994016885757446, 0.9967736005783081, 0.9720421433448792, 0.9668679237365723, 0.9184080362319946]
+Oc1cnccc1-c1ccccc1OC(F)(F)F; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cccnc1', 'Oc1cnccc1Cl']; [0.9999700784683228, 0.999940037727356, 0.9999147653579712, 0.9998274445533752, 0.999708890914917, 0.9996548295021057, 0.9727346897125244, 0.960134744644165, 0.9573161602020264]
+Oc1cnccc1-c1cnn(Cc2ccccc2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'OB(O)c1cnn(Cc2ccccc2)c1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br']; [0.999730110168457, 0.9996397495269775, 0.9978040456771851, 0.9806771874427795]
+NC(=O)c1ccccc1-c1ccncc1O; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O']; ['Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9988635778427124, 0.9983490705490112, 0.9634536504745483, 0.8924632668495178]
+Cn1cnc2ccc(-c3ccncc3O)cc2c1=O; [None]; [None]; [0]
+Oc1cnccc1-c1cnc(-c2ccccc2)[nH]1; ['Oc1cnccc1I', 'Oc1cnccc1Br']; ['c1ccc(-c2ncc[nH]2)cc1', 'c1ccc(-c2ncc[nH]2)cc1']; [0.9153670072555542, 0.7574938535690308]
+O=C(Nc1cccc(-c2ccncc2O)c1)c1ccccc1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Br']; [0.9999032020568848, 0.9996017813682556, 0.9995390176773071, 0.9936320781707764]
+CC(C)(C)c1nc(-c2ccncc2O)cs1; [None]; [None]; [0]
+Oc1cnccc1-c1cc(Cl)ccc1Cl; ['OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; ['Oc1cnccc1I', 'Oc1cnccc1Br']; [0.999305248260498, 0.9917185306549072]
+Cc1ccc(-c2ccncc2O)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1']; ['Oc1cnccc1I']; [0.9988018870353699]
+O=C([O-])c1ccccc1-c1ccncc1O; [None]; [None]; [0]
+COc1cnc(-c2ccncc2O)nc1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccncc1O; ['Cc1cn2ccccc2n1']; ['Oc1cnccc1I']; [0.9954327940940857]
+Oc1cnccc1-c1cnc2ccccn12; ['Oc1cnccc1Br', 'Oc1cnccc1I']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9836403131484985, 0.9387454986572266]
+Cc1nc(N)sc1-c1ccncc1O; [None]; [None]; [0]
+CC(C)C(=O)COc1ccncc1O; [None]; [None]; [0]
+Oc1cnccc1-c1cccc(Br)c1; ['OB(O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.999422550201416, 0.998283863067627, 0.9975150227546692, 0.9830458164215088, 0.9580463171005249]
+Oc1cnccc1-c1c(Cl)cccc1Cl; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9996473789215088, 0.9969886541366577, 0.9892618656158447]
+O=c1c2c(F)cccc2cnn1-c1ccncc1O; [None]; [None]; [0]
+Oc1cnccc1NCc1cccnc1; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'BrCc1cccnc1', 'ClCc1cccnc1', 'Nc1ccncc1O', 'NCc1cccnc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Nc1ccncc1O', 'Nc1ccncc1O', 'O=Cc1cccnc1', 'Oc1ccncc1O']; [0.9946523904800415, 0.9938420057296753, 0.9876183271408081, 0.979676365852356, 0.9213073253631592, 0.8882838487625122, 0.7792826890945435]
+Cc1ccc(Cl)c(-c2ccncc2O)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Oc1cnccc1I']; [0.9981080889701843]
+Oc1cnccc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccncc2O)s1; [None]; [None]; [0]
+Oc1cnccc1Nc1cccnc1; ['Clc1cccnc1', 'Brc1cccnc1', 'Nc1cccnc1', 'Ic1cccnc1', 'Nc1cccnc1', 'Nc1cccnc1']; ['Nc1ccncc1O', 'Nc1ccncc1O', 'Oc1cnccc1Cl', 'Nc1ccncc1O', 'Oc1cnccc1I', 'Oc1cnccc1Br']; [0.9843302369117737, 0.9832257032394409, 0.973358690738678, 0.9617810845375061, 0.9382408857345581, 0.924368143081665]
+Oc1cnccc1-n1cnc2ccccc21; ['Oc1cnccc1Br']; ['c1ccc2[nH]cnc2c1']; [0.8203107118606567]
+O=C(Nc1ccncc1O)c1cccs1; ['Nc1ccncc1O', 'Nc1ccncc1O', 'NC(=O)c1cccs1', 'CCOC(=O)c1cccs1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'Nc1ccncc1O', 'Nc1ccncc1O']; [0.9997975826263428, 0.9989678859710693, 0.9881373643875122, 0.9677079916000366]
+Nc1nccc(-c2ccncc2O)n1; [None]; [None]; [0]
+Oc1cnccc1-c1cnn2ncccc12; [None]; [None]; [0]
+Oc1cnccc1NCCc1c[nH]cn1; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9860330820083618, 0.8779348731040955, 0.8520293235778809]
+Oc1cnccc1-c1ccc2ccccc2c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'OB(O)c1ccc2ccccc2c1']; ['Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl']; [0.9998642206192017, 0.9994913339614868, 0.9972325563430786, 0.9956158995628357, 0.984420657157898]
+Oc1cnccc1-c1c[nH]nc1C(F)(F)F; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Oc1cnccc1Br']; [0.9998185634613037]
+Oc1cnccc1NCCc1ccccc1; ['NCCc1ccccc1', 'ClCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'BrCCc1ccccc1']; ['Oc1cnccc1Cl', 'Nc1ccncc1O', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Nc1ccncc1O']; [0.9810479879379272, 0.9166486263275146, 0.8774664402008057, 0.8592178821563721, 0.8098669052124023]
+NC(=O)c1c(F)cccc1-c1ccncc1O; ['NC(=O)c1c(F)cccc1Br']; ['Oc1cnccc1Br']; [0.9580414891242981]
+Cc1c(-c2ccncc2O)sc(=O)n1C; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccncc3O)ccc12; [None]; [None]; [0]
+Oc1cnccc1-c1cncc2ccccc12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.999972403049469, 0.9996501207351685, 0.997949481010437, 0.9919310808181763, 0.9745622873306274]
+O=C([O-])Cc1cccc(-c2ccncc2O)c1; [None]; [None]; [0]
+Oc1cnccc1NCc1ccc(Cl)cc1; ['Clc1ccc(CBr)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'ClCc1ccc(Cl)cc1', 'Nc1ccncc1O', 'NCc1ccc(Cl)cc1']; ['Nc1ccncc1O', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Nc1ccncc1O', 'O=Cc1ccc(Cl)cc1', 'Oc1ccncc1O']; [0.9939632415771484, 0.9891036748886108, 0.9866684675216675, 0.9777899980545044, 0.959810733795166, 0.8344820737838745, 0.781815767288208]
+Cn1cc(-c2ccc(-c3ccncc3O)cc2)cn1; [None]; [None]; [0]
+Oc1cnccc1Nc1ccncc1; ['Nc1ccncc1', 'Nc1ccncc1', 'Clc1ccncc1', 'Brc1ccncc1']; ['Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Nc1ccncc1O', 'Nc1ccncc1O']; [0.9877163171768188, 0.9702981114387512, 0.9590324759483337, 0.9348722696304321]
+CC(C)n1cc(-c2ccncc2O)nn1; ['CC(C)n1ccnn1']; ['Oc1cnccc1I']; [0.9984046816825867]
+OCc1cccc(-c2ccncc2O)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br']; [0.9999763369560242, 0.9997667074203491, 0.9974433183670044, 0.9931911826133728, 0.9793960452079773, 0.9163669347763062]
+Oc1cnccc1NCc1ccccc1F; ['NCc1ccccc1F', 'NCc1ccccc1F', 'Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'NCc1ccccc1F', 'NCc1ccccc1F', 'Nc1ccncc1O', 'NCc1ccccc1F']; ['Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Nc1ccncc1O', 'Nc1ccncc1O', 'Oc1cnccc1I', 'Oc1ccncc1O', 'O=Cc1ccccc1F', 'O=Cc1ccncc1O']; [0.9992948770523071, 0.9991785883903503, 0.9990826845169067, 0.9987696409225464, 0.9976698160171509, 0.9769962430000305, 0.9653161764144897, 0.903749942779541]
+CN1c2ccc(-c3ccncc3O)cc2CS1(=O)=O; [None]; [None]; [0]
+Oc1cnccc1-c1ccc(-c2cn[nH]c2)cc1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999929666519165, 0.999984622001648, 0.9998451471328735, 0.9997930526733398, 0.9994397163391113, 0.9952468276023865, 0.9090127944946289]
+CSc1nc(-c2ccncc2O)c[nH]1; ['CSc1ncc[nH]1']; ['Oc1cnccc1I']; [0.8722763657569885]
+Oc1cnccc1-c1csc2ncncc12; [None]; [None]; [0]
+COc1cc(-c2ccncc2O)ccc1C(=O)[O-]; [None]; [None]; [0]
+Oc1cnccc1-c1cc2ccccc2[nH]1; ['CC(=O)c1ccncc1O', 'OB(O)c1cc2ccccc2[nH]1', 'Clc1cc2ccccc2[nH]1']; ['NNc1ccccc1', 'Oc1cnccc1Br', 'Oc1cccnc1']; [0.9928830862045288, 0.9131077527999878, 0.8320339918136597]
+CCCn1cnc(-c2ccncc2O)n1; [None]; [None]; [0]
+Nc1ncncc1-c1ccncc1O; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccncc2O)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9994871020317078, 0.9955137968063354, 0.9933616518974304]
+CCC(=O)Nc1ccc(-c2ccncc2O)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.999944806098938, 0.99924635887146, 0.9981197118759155]
+CC(C)c1oncc1-c1ccncc1O; [None]; [None]; [0]
+Oc1cnccc1Oc1ccccn1; ['Clc1ccccn1', 'Brc1ccccn1']; ['Oc1ccncc1O', 'Oc1ccncc1O']; [0.9493129253387451, 0.8704066276550293]
+O=C(Nc1ccncc1O)c1c(Cl)cccc1Cl; ['Nc1ccncc1O', 'Nc1ccncc1O', 'NC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'Oc1cnccc1Cl']; [0.9999297261238098, 0.9995764493942261, 0.9819420576095581]
+CS(=O)(=O)C1CCN(c2ccncc2O)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl']; [0.9965916872024536, 0.9944013357162476, 0.9938310384750366]
+Oc1cnccc1-c1ccc(F)cc1C(F)(F)F; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; ['Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9998584389686584, 0.9989790320396423, 0.9983632564544678]
+Oc1cnccc1CCc1c[nH]nn1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ccncc1O; [None]; [None]; [0]
+Oc1cnccc1-c1cnn2ccccc12; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C']; ['Oc1cnccc1Br']; [0.9999474287033081]
+COc1ccc(-c2ccncc2O)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc([Mg]Br)cc1Cl']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Br']; [0.9999916553497314, 0.9999593496322632, 0.9999039173126221, 0.999793291091919, 0.9994233846664429, 0.9958469271659851, 0.9101473689079285, 0.8734208345413208]
+CCCn1cc(-c2ccncc2O)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br']; [0.9998904466629028, 0.999880313873291, 0.9974222779273987, 0.9691980481147766]
+NC(=O)CCCc1ccncc1O; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccncc3O)cc2s1; [None]; [None]; [0]
+O=c1cc(-c2ccncc2O)cc[nH]1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Oc1cnccc1Br']; [0.9977895021438599]
+O=C1CCc2cccc(-c3ccncc3O)c21; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2ccncc2O)cc1C(F)(F)F; [None]; [None]; [0]
+CC(C)(COc1ccncc1O)S(C)(=O)=O; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccncc2O)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Oc1cnccc1Br']; [0.9924499988555908]
+C[C@@H](Oc1ccncc1O)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Oc1cnccc1Cl']; [0.8480965495109558]
+CC(C)(N)c1ccc(-c2ccncc2O)cc1; [None]; [None]; [0]
+CCN(CC)c1ccncc1O; ['CCNCC', 'CCNCC']; ['Oc1cnccc1I', 'Oc1cnccc1Cl']; [0.8913344144821167, 0.8365141153335571]
+COc1cc(CCc2ccncc2O)cc(OC)c1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccncc1O; [None]; [None]; [0]
+COc1ccncc1Nc1ccncc1O; ['COc1ccncc1N', 'COc1ccncc1Cl', 'COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1N']; ['Oc1cnccc1Cl', 'Nc1ccncc1O', 'Nc1ccncc1O', 'Oc1cnccc1I', 'Nc1ccncc1O', 'Oc1cnccc1Br']; [0.9972702264785767, 0.9907150268554688, 0.9866767525672913, 0.9710184335708618, 0.9661426544189453, 0.8536593914031982]
+Oc1cnccc1Nc1cnccc1-c1ccccc1; ['Brc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; ['Nc1ccncc1O', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br']; [0.9976315498352051, 0.9960979223251343, 0.9905545115470886, 0.9850232601165771]
+O=c1[nH]ccc2oc(-c3ccncc3O)cc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccncc2O)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999951124191284, 0.9999476075172424, 0.9999048709869385, 0.9997283220291138, 0.9976366758346558, 0.9938033819198608]
+Oc1cnccc1Nc1cnc2ccccc2c1; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1']; ['Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Nc1ccncc1O', 'Nc1ccncc1O']; [0.9928207993507385, 0.9924867153167725, 0.9609401226043701, 0.912183403968811]
+COc1cccc(F)c1-c1ccncc1O; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1', 'COc1cccc(F)c1', 'COc1cccc(F)c1Br']; ['Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cccnc1']; [0.9999862313270569, 0.9999163150787354, 0.9999010562896729, 0.9998073577880859, 0.99965500831604, 0.9985260963439941, 0.9944388270378113, 0.9899960160255432, 0.969149112701416, 0.9162267446517944]
+O=c1[nH]cc(Br)c2sc(-c3ccncc3O)cc12; [None]; [None]; [0]
+Oc1cnccc1-c1cnc2[nH]ccc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1']; ['Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999611377716064, 0.9999330043792725, 0.9998661279678345, 0.9991471767425537, 0.9971117973327637, 0.8573883175849915]
+Oc1cnccc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccncc2O)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.9999811053276062, 0.9998940229415894, 0.999793291091919, 0.9992930293083191, 0.9956166744232178, 0.9917280673980713]
+CS(=O)(=O)c1ccc(-c2ccncc2O)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.999944806098938, 0.9993699789047241, 0.9935680627822876, 0.9888132810592651]
+CNC(=O)c1c(F)cccc1-c1ccncc1O; [None]; [None]; [0]
+CC1(c2ccncc2O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@H](Nc1ccncc1O)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CN(c1ccncc1O)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+OCc1ccn(-c2ccncc2O)n1; ['OCc1cc[nH]n1']; ['Oc1cnccc1Br']; [0.8808897733688354]
+C[C@H](Nc1ccncc1O)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1ccncc1O']; [0.9820916056632996, 0.9727799296379089, 0.9547252655029297, 0.8757400512695312]
+C[C@@H](Nc1ccncc1O)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O', 'COc1ccncc1O']; ['Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1ccncc1O', 'C[C@@H](N)C(C)(C)O']; [0.9820916056632996, 0.9727799296379089, 0.9547252655029297, 0.8757400512695312, 0.8262991905212402]
+Cc1cc(-c2ccncc2O)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+OCCc1cn(-c2ccncc2O)cn1; [None]; [None]; [0]
+Oc1cnccc1-n1ncc2ccccc21; ['Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9242767095565796, 0.8036006689071655, 0.776042103767395]
+Oc1cnccc1-c1c(F)cccc1Cl; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1', 'Fc1cccc(Cl)c1']; ['Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cccnc1', 'Oc1cnccc1Cl', 'Oc1cnccc1Br']; [0.999992847442627, 0.9999504089355469, 0.99969482421875, 0.9977898001670837, 0.9949172139167786, 0.977081298828125, 0.9457188844680786, 0.7930262088775635]
+Oc1cnccc1-n1ncc2c(O)cccc21; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; ['Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9749197363853455, 0.9613478183746338]
+COc1ccc(-c2ccncc2O)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Br']; [0.9993718862533569, 0.9990822672843933, 0.9990671873092651, 0.9988604784011841, 0.9965568780899048]
+Oc1cnccc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
+Oc1ccc2nc(-c3ccncc3O)[nH]c2c1; ['Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N', 'Nc1cc(O)ccc1[N+](=O)[O-]']; ['O=C(O)c1ccncc1O', 'O=Cc1ccncc1O', 'O=Cc1ccncc1O']; [0.9999486207962036, 0.9996886253356934, 0.9987537860870361]
+O=C(c1ccccc1)c1ccc(-c2ccncc2O)cc1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1I', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Br', 'Oc1cccnc1']; [0.9999812841415405, 0.9999231696128845, 0.9996476173400879, 0.9996217489242554, 0.9982263445854187, 0.997881293296814, 0.996070146560669, 0.9901385307312012, 0.8468072414398193, 0.8301527500152588]
+CSc1nc(C)c(-c2ccncc2O)[nH]1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccncc1O; [None]; [None]; [0]
+O=C(CCc1ccncc1O)NCc1ccccn1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2ccncc2O)n1; [None]; [None]; [0]
+Oc1cnccc1-c1nncn1C1CC1; [None]; [None]; [0]
+Oc1cnccc1Cc1nnc2ccc(-c3ccccc3)nn12; [None]; [None]; [0]
+Nc1nnc(-c2ccncc2O)s1; ['NNC(N)=S']; ['O=C(O)c1ccncc1O']; [0.9998040199279785]
+O=S(=O)(Cc1ccncc1O)NCc1ccccn1; [None]; [None]; [0]
+CCc1cc(-c2ccncc2O)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccncc2O)nc(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccncc2O)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccncc2O)n1; [None]; [None]; [0]
+Oc1cnccc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+Oc1cnccc1-c1nc2ccccc2s1; ['Nc1ccccc1S', 'Nc1ccccc1S', 'Oc1cnccc1I', 'Oc1cnccc1Br']; ['O=C(O)c1ccncc1O', 'O=Cc1ccncc1O', 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999556541442871, 0.9998911619186401, 0.9988973140716553, 0.9986653327941895]
+Nc1cncc(-c2ccncc2O)n1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1ccncc1O; [None]; [None]; [0]
+[NH3+]Cc1ccc(Oc2ccncc2O)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccncc2O)CC1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3ccncc3O)nc2NC1=O; [None]; [None]; [0]
+Oc1cnccc1-c1cccc2ccsc12; [None]; [None]; [0]
+Oc1cnccc1-c1cccc2nnsc12; [None]; [None]; [0]
+Nc1nc(-c2ccncc2O)nc2ccccc12; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccncc3O)c2)cc1; [None]; [None]; [0]
+Oc1cnccc1-c1ncc2cc[nH]c2n1; ['Oc1cnccc1I']; ['c1ncc2cc[nH]c2n1']; [0.9478034973144531]
+Oc1cnccc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccncc2O)[nH]1; [None]; [None]; [0]
+OCCn1cnc(-c2ccncc2O)c1; [None]; [None]; [0]
+COc1ccc(Oc2ccncc2O)c(F)c1F; ['COc1ccc(F)c(F)c1F']; ['Oc1ccncc1O']; [0.9770632982254028]
+COc1ccc(C#N)cc1-c1ccncc1O; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9998538494110107, 0.9997793436050415, 0.9996245503425598, 0.9995096921920776, 0.999200701713562, 0.9989474415779114]
+COc1ccc(OC)c(-c2ccncc2O)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)cc1']; ['Oc1cnccc1I', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1Cl', 'Oc1cnccc1I']; [0.9993626475334167, 0.9979308843612671, 0.9968439340591431, 0.996383547782898, 0.9830834865570068, 0.9670952558517456, 0.9269258975982666, 0.8194109797477722]
+CN(C)S(=O)(=O)c1cccc(-c2ccncc2O)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br', 'Oc1cnccc1Cl']; [0.9999909400939941, 0.9999904632568359, 0.9996335506439209, 0.9994374513626099, 0.9964091777801514, 0.9393426179885864]
+Oc1cnccc1N1CCC(c2nc3ccccc3[nH]2)CC1; ['Oc1cnccc1Cl', 'Oc1cnccc1I', 'Oc1cnccc1Br']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.99858558177948, 0.9984333515167236, 0.9983037710189819]
+Oc1cnccc1N1CC=C(c2c[nH]c3ccccc23)CC1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Oc1cnccc1Cl', 'Oc1cnccc1Br', 'Oc1cnccc1I']; [0.9981663227081299, 0.9966135621070862, 0.9961370229721069]
+O=C(Nc1cccc(-c2ccncc2O)c1)C1CCNCC1; [None]; [None]; [0]
+CCOc1ccc(-c2nc(N)ncc2C)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [0.9999990463256836, 0.9999884963035583, 0.9998478889465332, 0.9995094537734985, 0.9988294243812561, 0.996171236038208, 0.993649959564209, 0.9755116701126099]
+CC(=O)N(C)c1ccc(-c2nc(N)ncc2C)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; [0.9999992847442627, 0.9999634027481079, 0.9973139762878418]
+Cc1cnc(N)nc1-c1sc(C(C)(C)O)nc1C; ['Cc1cnc(N)nc1Br']; ['Cc1csc(C(C)(C)O)n1']; [0.9992824196815491]
+C[C@@]1(O)CC[C@H](c2ccncc2O)CC1; [None]; [None]; [0]
+COc1ncccc1-c1nc(N)ncc1C; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1Br', 'COc1ncccc1Br', 'COc1ncccc1B(O)O']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9999952912330627, 0.9999687671661377, 0.9999339580535889, 0.9995184540748596, 0.9973829984664917, 0.9916383028030396, 0.9835468530654907]
+Cc1cnc(N)nc1-c1cccc(S(C)(=O)=O)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [1.0, 0.9999989867210388, 0.999992847442627, 0.999972939491272, 0.9995921850204468]
+COc1cc(-c2nc(N)ncc2C)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [0.9999490976333618, 0.9972702860832214, 0.9946556687355042, 0.9866565465927124, 0.9837979078292847]
+Cc1ccc2ncn(-c3nc(N)ncc3C)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9954330325126648, 0.9942049384117126, 0.9345966577529907, 0.9227750301361084]
+CN(C)c1cc(-c2ccncc2O)cnn1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cnc2cccnn12; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc(O)c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['Cc1cnc(N)nc1Br', 'OB(O)c1cccc(O)c1', 'Cc1cnc(N)nc1Cl']; [0.999991238117218, 0.9963952898979187, 0.9914627075195312]
+COc1ccc(-c2nc(N)ncc2C)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(B(O)O)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1']; [0.999998927116394, 0.9999592304229736, 0.9998576641082764, 0.9993519186973572, 0.9914700984954834, 0.990966796875, 0.9901427626609802]
+Cc1cnc(N)nc1-c1cc(C#N)ccc1O; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; [0.9999942779541016, 0.9894119501113892]
+Cc1cnc(N)nc1-c1ccc(N2CCOCC2)cc1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Cc1cnc(N)nc1']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccc(N2CCOCC2)cc1']; [1.0, 0.9999980926513672, 0.9999954700469971, 0.9999308586120605, 0.9993841648101807, 0.9992934465408325, 0.9989371299743652]
+Cc1cnc(N)nc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+Cc1cnc(N)nc1Nc1ncccn1; ['Cc1cnc(N)nc1Cl']; ['Nc1ncccn1']; [0.9823744297027588]
+Cc1cnc(N)nc1-c1nc2ccccc2[nH]1; ['Cc1cnc(N)nc1C']; ['Nc1ccccc1N']; [0.9905301332473755]
+Cc1cnc(N)nc1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(C(N)=O)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.9999996423721313, 0.999980092048645, 0.9999691247940063, 0.9994468688964844]
+Cc1cnc(N)nc1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(C(=O)Nc2ccccc2)cc1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [1.0, 0.9999948740005493, 0.9996293783187866]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc(N)ncc3C)cc2)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cnn(Cc2cccc(C#N)c2)c1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1nccc2ccccc12; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(OCCO)cc1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Cl', 'OCCOc1ccc(B(O)O)cc1']; [0.9998916387557983, 0.9977234601974487]
+Cc1cnc(N)nc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(C(=O)N2CCOCC2)cc1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 0.9999991655349731, 0.9999973773956299, 0.9999812841415405, 0.999721884727478]
+CC(=O)NCc1ccc(-c2nc(N)ncc2C)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; [0.9999997615814209, 0.9999868273735046, 0.9999597072601318, 0.9998342990875244, 0.996889591217041]
+CNS(=O)(=O)c1ccc(-c2nc(N)ncc2C)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9999994039535522, 0.9999040365219116, 0.9992436170578003]
+Cc1cnc(N)nc1-c1ccc(N(C)C)cc1; ['CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(I)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1']; [0.9999529123306274, 0.9999018311500549, 0.9989145994186401, 0.9971274733543396, 0.9970054030418396, 0.98444664478302]
+Cc1cnc(N)nc1-c1ccc(C(F)(F)F)cc1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Cc1cnc(N)nc1Cl', 'FC(F)(F)c1ccc(Br)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1']; [0.9999997615814209, 0.9999935030937195, 0.9998781681060791, 0.9993443489074707, 0.9989942312240601, 0.9985992908477783, 0.9921724796295166]
+Cc1cnc(N)nc1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc2c(c1)CS(=O)(=O)C2; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9952090978622437, 0.8954635858535767]
+Cc1nc(C)c(-c2nc(N)ncc2C)s1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(S(=O)(=O)N(C)C)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; [0.9999998807907104, 0.9999948740005493, 0.9999913573265076, 0.9999201893806458, 0.9996562600135803]
+Cc1cnc(N)nc1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nc(N)ncc2C)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1cnc(N)nc1Cl']; [0.9991836547851562]
 Cc1cnc(N)nc1-c1cc(C(C)C)nc(N)n1; [None]; [None]; [0]
+Cc1cnc(N)nc1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Cc1cnc(N)nc1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(Br)cc1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Brc1ccc(Br)cc1']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccc(Br)cc1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Cc1cnc(N)nc1Br']; [0.9999974370002747, 0.9997859001159668, 0.9996421337127686, 0.9934829473495483, 0.9818090796470642, 0.9651703238487244]
+Cc1cnc(N)nc1Cc1cnc(N)nc1; [None]; [None]; [0]
+Cc1cnc(N)nc1Cc1ccccc1O; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(N(C)C)c(Cl)c1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [1.0, 0.9999871253967285, 0.9907518625259399]
 CC(=O)N1CCCN(c2cccc(-c3nc(N)ncc3C)c2)CC1; [None]; [None]; [0]
+COc1ccc(Cc2nc(N)ncc2C)cc1; ['COc1ccc(C[Zn]Cl)cc1']; ['Cc1cnc(N)nc1Br']; [0.9979478120803833]
 CCCOc1ccc(-c2nc(N)ncc2C)nc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1nc(N)ncc1C; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O']; ['Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9994649887084961, 0.998927116394043]
+CCN(CC)C(=O)c1ccc(-c2nc(N)ncc2C)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9999996423721313, 0.9999822378158569, 0.9999481439590454, 0.9996668100357056, 0.9969134330749512, 0.996604859828949]
+CNS(=O)(=O)c1ccc(-c2nc(N)ncc2C)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9999994039535522, 0.9999901056289673, 0.999967098236084, 0.9991239309310913, 0.9882765412330627]
+Cc1cnc(N)nc1-c1ccccc1-n1cccn1; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Brc1ccccc1-n1cccn1', 'Cc1cnc(N)nc1']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccccc1-n1cccn1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccccc1-n1cccn1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccccc1-n1cccn1']; [0.9999995231628418, 0.9999991655349731, 0.9998500347137451, 0.9995566606521606, 0.9980365037918091, 0.993756115436554]
+Cc1cnc(N)nc1-c1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1c[nH]c2ccccc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Cc1cnc(N)nc1Cl', 'c1ccc2[nH]ccc2c1']; [0.9999932050704956, 0.9999902248382568, 0.9999164938926697, 0.9996150732040405, 0.9945356845855713]
+CC(=O)Nc1cccc(-c2nc(N)ncc2C)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9999994039535522, 0.9999837875366211, 0.9998974800109863, 0.9995197057723999]
+Cc1cnc(N)nc1-c1ccc2c(c1)CCO2; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Brc1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccc2c(c1)CCO2', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; [1.0, 0.9999994039535522, 0.9999867081642151, 0.9999295473098755, 0.9998952150344849, 0.9998470544815063, 0.9997833967208862]
+Cc1cnc(N)nc1-c1ccn2nccc2n1; [None]; [None]; [0]
+COc1cc(OC)c(-c2nc(N)ncc2C)cc1Cl; [None]; [None]; [0]
+COc1cc(-c2nc(N)ncc2C)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9999986290931702, 0.9994022250175476, 0.9897595643997192]
+Cc1cnc(N)nc1-c1cccc2c1OCO2; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cccc2c1OCO2', 'Brc1cccc2c1OCO2', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'OB(O)c1cccc2c1OCO2', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'OB(O)c1cccc2c1OCO2']; [0.9999979734420776, 0.999985933303833, 0.9993418455123901, 0.9989874958992004, 0.9942384362220764, 0.9625066518783569]
+Cc1cnc(N)nc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1scc2c1OCCO2; ['Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl']; ['c1scc2c1OCCO2', 'c1scc2c1OCCO2']; [0.9860198497772217, 0.9847160577774048]
 Cc1cnc(N)nc1-c1nc2ccc(C(C)C)cc2[nH]1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1nc(N)ncc1C; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(C(C)(C)C)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [1.0, 0.9999876618385315, 0.9999262094497681, 0.9993419647216797, 0.9984930753707886, 0.9979115724563599, 0.9796510934829712]
+Cc1cnc(N)nc1-c1ccc(C(=O)N(C)C)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9999961853027344, 0.9998607635498047, 0.9961402416229248]
+Cc1cnc(N)nc1-c1ccc(C(C)(C)C)nc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [0.9999995231628418, 0.9999693632125854, 0.9999472498893738, 0.9982609748840332, 0.99526447057724, 0.9815127849578857, 0.9628468155860901]
+Cc1cnc(N)nc1Cc1nc2ccc(F)c(F)c2[nH]1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cnc2ccccc2c1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Brc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['Cc1cnc(N)nc1Br', 'OB(O)c1cnc2ccccc2c1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1cnc2ccccc2c1', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9999986290931702, 0.9999933838844299, 0.9998694062232971, 0.998843789100647, 0.9954342842102051, 0.9535766243934631]
+Cc1cnc(N)nc1CCCc1ccccc1; ['Br[Mg]CCCc1ccccc1', 'BrCCCc1ccccc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9910857677459717, 0.9666041135787964]
+Cc1cnc(N)nc1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
+Cc1ccc(-c2nc(N)ncc2C)c(=O)[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2nc(N)ncc2C)CC1; [None]; [None]; [0]
+Cc1cnc(N)nc1Cc1nc2ccccc2[nH]1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2nc(N)ncc2C)c1; ['COc1cccc(C(N)=O)c1', 'COc1cccc(C(N)=O)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9987318515777588, 0.998179018497467]
+CSc1ccc(-c2nc(N)ncc2C)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(B(O)O)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1']; [0.9999986886978149, 0.9999193549156189, 0.9997313618659973, 0.9994709491729736, 0.9952354431152344, 0.9871892929077148, 0.9801822900772095]
+Cc1cnc(N)nc1-c1cc2ccccc2s1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; ['OB(O)c1cc2ccccc2s1', 'OB(O)c1cc2ccccc2s1', 'c1ccc2sccc2c1']; [0.9999867081642151, 0.9955349564552307, 0.9455279111862183]
+Cc1cnc(N)nc1-c1csc(N)n1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(F)cc1Cl; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccc(F)cc1Cl', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1']; [0.9999984502792358, 0.9999599456787109, 0.9999556541442871, 0.9959006309509277, 0.9957047700881958, 0.9836016297340393, 0.9718875885009766]
+Cc1cnc(N)nc1-c1ccc2c(c1)CCC(=O)N2; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'Cc1cnc(N)nc1Br']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999977350234985, 0.9997467994689941, 0.9950271844863892]
+CCN1CCN(Cc2ccc(-c3nc(N)ncc3C)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; [0.9999950528144836, 0.9996971487998962, 0.9990034103393555]
+Cc1cc(-c2nc(N)ncc2C)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)c1nc(N)ncc1C; [None]; [None]; [0]
+COc1ccc(-c2nc(N)ncc2C)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1']; [0.9999983310699463, 0.9999806880950928, 0.9998221397399902, 0.9986342191696167, 0.9979767799377441, 0.9968143701553345, 0.9901384115219116, 0.9532285332679749]
+Cc1cnc(N)nc1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(Cl)cc1Cl; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccc(Cl)cc1Cl', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1']; [0.9999960064888, 0.9999793767929077, 0.9997366666793823, 0.9958285093307495, 0.9465814232826233, 0.8669211864471436]
+CCc1ccc(-c2nc(N)ncc2C)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl']; [0.9999995231628418, 0.9998683333396912, 0.9998655915260315, 0.9998212456703186, 0.9948221445083618, 0.980311393737793, 0.9771580696105957, 0.9074716567993164]
+COc1cc(-c2nc(N)ncc2C)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; [0.9999991655349731, 0.9999692440032959, 0.9996759295463562]
+Cc1cnc(N)nc1-c1cn(C)nc1C(F)(F)F; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1']; [0.9999935626983643, 0.9993454217910767, 0.997809648513794]
+Cc1cnc(N)nc1-c1ncc(Br)cn1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
+COc1ccc2cccc(-c3nc(N)ncc3C)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['Cc1cnc(N)nc1Cl']; [0.9982153177261353]
+Cc1cnc(N)nc1-c1ncc2cccn2n1; [None]; [None]; [0]
+Cc1cnc(N)nc1CCCn1cncn1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc2ccc(O)cc12; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9999971389770508, 0.9953523278236389]
+COc1cc(-c2nc(N)ncc2C)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1']; [0.9999988079071045, 0.9999797940254211, 0.9997962713241577, 0.9976851940155029, 0.9931104183197021, 0.9895914793014526]
+Cc1cnc(N)nc1-c1cc2ccccn2n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc(N)ncc2C)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9999895095825195, 0.9999615550041199]
+COc1cc(F)c(-c2nc(N)ncc2C)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [0.9999975562095642, 0.9999841451644897, 0.999715268611908, 0.9969379901885986, 0.9936836957931519, 0.9838066697120667, 0.9794648885726929]
+Cc1cnc(N)nc1-c1ncc(Cl)cn1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ncnc2c(C)csc12; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cnn(CCO)c1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'OCCn1cc(B(O)O)cn1']; [0.9999849796295166, 0.996110200881958, 0.9944446086883545]
 Cc1cnc(N)nc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
+COc1cc(-c2nc(N)ncc2C)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [0.9999129772186279, 0.9993658661842346, 0.9969900250434875, 0.9949370622634888, 0.9923187494277954]
+COc1cc(OC)cc(-c2nc(N)ncc2C)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Br)cc(OC)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; [0.9999964833259583, 0.9999869465827942, 0.999733567237854, 0.999688982963562, 0.9886474609375, 0.982406497001648, 0.9821790456771851]
+CCNC(=O)c1ccc(-c2nc(N)ncc2C)nc1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1nc(N)ncc1C; [None]; [None]; [0]
 Cc1cnc(N)nc1-c1cccc(C(=O)Nc2cn[nH]c2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1nc(N)ncc1C)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2nc(N)ncc2C)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cc2ccc(C(C)(C)O)cc2[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2nc(N)ncc2C)c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2nc(N)ncc2C)CC1; [None]; [None]; [0]
+COc1ccc2oc(-c3nc(N)ncc3C)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1']; ['Cc1cnc(N)nc1Br']; [0.9999905824661255]
+COc1ccc2c(c1)c(-c1nc(N)ncc1C)cn2C; ['COc1ccc2c(ccn2C)c1']; ['Cc1cnc(N)nc1Cl']; [0.9987244606018066]
+CCNC(=O)N1CCC(c2nc(N)ncc2C)CC1; [None]; [None]; [0]
+CCn1cc(-c2nc(N)ncc2C)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9999544620513916, 0.9968982934951782, 0.9963422417640686]
+Cc1cnc(N)nc1-c1ccc2cn[nH]c2c1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Brc1ccc2cn[nH]c2c1']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; [0.999997615814209, 0.9999942779541016, 0.9987272024154663, 0.9981802701950073, 0.9755600690841675]
+Cc1cnc(N)nc1-c1cc2ccccc2o1; ['Cc1cnc(N)nc1Cl', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1']; ['OB(O)c1cc2ccccc2o1', 'Cc1cnc(N)nc1Cl']; [0.9992293119430542, 0.9968959093093872]
+CNC(=O)c1ccc(OC)c(-c2nc(N)ncc2C)c1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cn(C)nc1C(C)C; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9999802112579346, 0.9971674084663391]
+Cc1cnc(N)nc1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+COc1ccc2nc(-c3nc(N)ncc3C)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Cc1cnc(N)nc1C']; [0.9970430135726929]
+COc1ccc(F)c(C(=O)Nc2nc(N)ncc2C)c1; ['COc1ccc(F)c(C(N)=O)c1', 'COc1ccc(F)c(C(N)=O)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9993804693222046, 0.9951707124710083]
+Cc1cnc(N)nc1-c1ccc(OC(F)(F)F)cc1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [1.0, 0.9999996423721313, 0.9999982714653015, 0.9999957084655762, 0.9999897480010986, 0.9999793767929077, 0.9999163746833801]
+Cc1cnc(N)nc1-c1cc(Br)cn1C; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ncc2sccc2n1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cn(C)c2ccccc12; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1ccc2ccccc21']; [0.9999915957450867, 0.9992067217826843, 0.9872692823410034]
+CCc1cccc(-c2nc(N)ncc2C)n1; [None]; [None]; [0]
 Cc1cnc(N)nc1-c1ncn2c1CCCC2; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(N(C)C)nc1; ['CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [0.999987006187439, 0.9999147653579712, 0.9990077614784241, 0.9897481203079224]
+Cc1cnc(N)nc1-c1ccc2c(c1)c(Cl)nn2C; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc2c(cnn2C)c1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.9999997615814209, 0.9999995231628418, 0.9999184608459473, 0.9998977780342102, 0.9989347457885742, 0.8782767057418823]
+Cc1cnc(N)nc1-c1cc(C)c(OCCO)c(C)c1; [None]; [None]; [0]
+Cc1cnc(N)nc1NC(=O)c1cccc(OC(F)(F)F)c1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['NC(=O)c1cccc(OC(F)(F)F)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1']; [0.9999505281448364, 0.9992810487747192]
+Cc1cnc(N)nc1-c1cc2ccc(C(C)(C)O)cc2[nH]1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc2c(C)n[nH]c2c1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; [1.0, 0.9999995231628418, 0.9999743700027466, 0.999935507774353, 0.9995138645172119]
+Cc1cnc(N)nc1-c1ccc(CCO)cc1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'OCCc1ccc(B(O)O)cc1', 'Cc1cnc(N)nc1Cl', 'OCCc1ccc(B(O)O)cc1']; [0.9999988079071045, 0.999919056892395, 0.9994342923164368, 0.9947211742401123]
+Cc1cnc(N)nc1-c1cccc(N2CCCC2=O)c1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999987483024597, 0.9999386072158813, 0.9967254400253296, 0.9277091026306152]
 CC(=O)N1CCC(n2cc(-c3nc(N)ncc3C)cn2)CC1; [None]; [None]; [0]
-Cc1cnc(N)nc1NC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc(N)ncc2C)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9999951124191284, 0.9998815655708313]
+Cc1cnc(N)nc1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1nc(N)ncc1C; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Cc1cnc(N)nc1Cl']; [0.9991638660430908]
+COc1cc(N2CCNCC2)ccc1-c1nc(N)ncc1C; [None]; [None]; [0]
 Cc1cnc(N)nc1-c1ccc(-c2cnc(C)n2C)cc1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1nc(N)ncc1C; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc(N)ncc2C)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9999703168869019, 0.9996287226676941]
 COc1cc(-c2cnn(C)c2)ccc1-c1nc(N)ncc1C; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2nc(N)ncc2C)cc1; ['CCNC(=O)Cc1ccc(Br)cc1', 'CCNC(=O)Cc1ccc(Br)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9988940954208374, 0.9965068101882935]
+Cc1cnc(N)nc1-c1cc(S(C)(=O)=O)ccc1Cl; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9989383220672607, 0.9665953516960144]
+CNC(=O)c1ccccc1-c1nc(N)ncc1C; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9998835325241089, 0.993396520614624]
+CNC(=O)c1ccc(C)c(-c2nc(N)ncc2C)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1nc(N)ncc1C; [None]; [None]; [0]
 Cc1cnc(N)nc1-c1cc(C(C)(C)O)n(C)n1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1nc(N)ncc1C; [None]; [None]; [0]
+CCOc1ccccc1-c1nc(N)ncc1C; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [0.9999929666519165, 0.9999924898147583, 0.9993293285369873, 0.9991438388824463, 0.9946445226669312, 0.9925916194915771, 0.988136351108551]
+Cc1nnc(-c2ccccc2-c2nc(N)ncc2C)[nH]1; [None]; [None]; [0]
+Cc1cnc(N)nc1[C@H](C)CS(C)(=O)=O; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccccc1P(C)(C)=O; [None]; [None]; [0]
+COC(C)(C)CCc1nc(N)ncc1C; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc(C(F)(F)F)c1; ['Cc1cnc(N)nc1Br', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl', 'CI']; ['OB(O)c1cccc(C(F)(F)F)c1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(Br)c1', 'Nc1nccc(-c2cccc(C(F)(F)F)c2)n1']; [0.9999975562095642, 0.9998214244842529, 0.9991879463195801, 0.9986921548843384, 0.9986053705215454, 0.9929018020629883, 0.8601957559585571]
+Cc1cnc(N)nc1-c1ccccc1S(=O)(=O)C(C)C; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1']; [0.9999278783798218, 0.9969303607940674, 0.9962054491043091, 0.9883298873901367, 0.9848839044570923]
+Cc1cnc(N)nc1-c1ccc(C(=O)N(C)C)cn1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccccc1OC(F)(F)F; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccccc1OC(F)(F)F', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Br', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999967217445374, 0.9999938011169434, 0.9997950196266174, 0.9989246129989624, 0.9983834028244019, 0.9981088638305664, 0.9933282136917114]
+Cc1cnc(N)nc1-c1ccnc2ccccc12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Brc1ccnc2ccccc12', 'Br[Mg]c1ccnc2ccccc12', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccnc2ccccc12', 'Ic1ccnc2ccccc12', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.9999944567680359, 0.9999279975891113, 0.9997491836547852, 0.9981626272201538, 0.9977126717567444, 0.996429443359375, 0.9712640047073364, 0.9433565139770508, 0.9137275218963623]
+Cc1cnc(N)nc1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccccc1C(N)=O; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'NC(=O)c1ccccc1B(O)O', 'Cc1cnc(N)nc1Cl', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1B(O)O']; [0.9999915957450867, 0.999855637550354, 0.9994515180587769, 0.9910472631454468, 0.9812918305397034, 0.9731525182723999]
+Cc1cnc(N)nc1-c1cnn(Cc2ccccc2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Brc1cnn(Cc2ccccc2)c1']; ['Cc1cnc(N)nc1Cl', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Cc1cnc(N)nc1Cl']; [0.9995795488357544, 0.9972851872444153, 0.9176626801490784]
+Cc1cnc(N)nc1-c1csc(C(C)(C)C)n1; ['CC(C)(C)c1nc(B2OC(C)(C)C(C)(C)O2)cs1']; ['Cc1cnc(N)nc1Cl']; [0.9998835325241089]
+Cc1cnc(N)nc1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc(NC(=O)c2ccccc2)c1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999998211860657, 0.9999599456787109, 0.9997673034667969]
+Cc1cnc(N)nc1-c1ccc2ncn(C)c(=O)c2c1; ['Cc1cnc(N)nc1Br']; ['Cn1cnc2ccc(Br)cc2c1=O']; [0.9991837739944458]
+Cc1cnc(N)nc1-c1cc(Cl)ccc1Cl; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; ['Cc1cnc(N)nc1Br', 'OB(O)c1cc(Cl)ccc1Cl', 'Cc1cnc(N)nc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999957084655762, 0.9999911785125732, 0.9997793436050415, 0.9929486513137817, 0.9198648929595947]
+Cc1cnc(N)nc1OCC(=O)C(C)C; ['CC(C)C(=O)CCl']; ['Cc1cnc(N)nc1O']; [0.8753283023834229]
+Cc1ccc(-c2nc(N)ncc2C)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [0.9990531802177429, 0.9593187570571899, 0.9465043544769287]
+Cc1cnc(N)nc1-c1sc(N)nc1C; ['Cc1cnc(N)nc1Br']; ['Cc1csc(N)n1']; [0.9986271858215332]
+Cc1cnc(N)nc1-c1cnc2ccccn12; [None]; [None]; [0]
+CNc1nc(C)c(-c2nc(N)ncc2C)s1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1c(Cl)cccc1Cl; ['Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; ['OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl']; [0.9815495014190674, 0.9770858287811279, 0.9433916807174683]
+Cc1cnc(N)nc1-c1c(C)nc2ccccn12; [None]; [None]; [0]
 Cc1cnc(N)nc1-n1ncc2cccc(F)c2c1=O; [None]; [None]; [0]
+COc1cnc(-c2nc(N)ncc2C)nc1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2nc(N)ncc2C)c1; ['Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1']; [0.9999865293502808, 0.997302770614624, 0.9718048572540283, 0.955736517906189, 0.942913293838501, 0.8059435486793518]
+Cc1cnc(N)nc1-c1cccc(Br)c1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Cc1cnc(N)nc1']; ['OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1cccc(Br)c1']; [0.9999634027481079, 0.9988301992416382, 0.9987679719924927, 0.998367428779602]
+Cc1cnc(N)nc1NCc1cccnc1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1O']; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; [0.9999141097068787, 0.999118983745575, 0.9940695762634277]
+Cc1cnc(N)nc1Nc1cccnc1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['Nc1cccnc1', 'Nc1cccnc1']; [0.9936807751655579, 0.8569854497909546]
 Cc1cnc(N)nc1-c1sc(=O)n(C)c1C; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cnn2ncccc12; [None]; [None]; [0]
-Cc1cnc(N)nc1Cc1ncc(C(C)(C)C)o1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cnn2ncccc12; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Cc1cnc(N)nc1Cl']; [0.99920654296875]
+Cc1cnc(N)nc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
+Cc1cnc(N)nc1-n1cnc2ccccc21; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.999147891998291, 0.9895426630973816]
+Cc1cnc(N)nc1NCCc1c[nH]cn1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1O', 'Cc1cnc(N)nc1Cl']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9997437000274658, 0.9995545148849487, 0.9958993792533875]
+Cc1cnc(N)nc1-c1ccc2ccccc2c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Cc1cnc(N)nc1', 'CI']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccc2ccccc2c1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Ic1ccc2ccccc2c1', 'Nc1nccc(-c2ccc3ccccc3c2)n1']; [0.9999996423721313, 0.9999974966049194, 0.9999499320983887, 0.9998126029968262, 0.9980900883674622, 0.996633768081665, 0.9891666173934937, 0.8962682485580444, 0.877457857131958]
+Cc1cnc(N)nc1NCCc1ccccc1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1O']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; [0.9998696446418762, 0.999295711517334, 0.9889998435974121]
+Cc1cnc(N)nc1NC(=O)c1cccs1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1c[nH]nc1C(F)(F)F; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Cc1cnc(N)nc1Cl']; [0.9986106157302856]
+Cc1cnc(N)nc1-c1ccnc(N)n1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc(F)c1C(N)=O; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cncc2ccccc12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)COB(c2cncc3ccccc23)OC1', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'Cc1cnc(N)nc1Cl', 'Brc1cncc2ccccc12']; ['Cc1cnc(N)nc1Br', 'OB(O)c1cncc2ccccc12', 'Cc1cnc(N)nc1Br', 'Ic1cncc2ccccc12', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'OB(O)c1cncc2ccccc12', 'Cc1cnc(N)nc1Cl']; [0.9999927282333374, 0.9999707937240601, 0.9998999834060669, 0.9998946189880371, 0.99969083070755, 0.9984147548675537, 0.9924730658531189, 0.9659128785133362]
+Cc1cnc(N)nc1NCc1ccc(Cl)cc1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9998905062675476, 0.9965494871139526]
+Cc1cnc(N)nc1-c1cccc(CO)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Cl', 'OCc1cccc(B(O)O)c1']; [0.9986280202865601, 0.9939354062080383]
+Cc1cnc(N)nc1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc(-c2cnn(C)c2)cc1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; [1.0, 0.9999943971633911, 0.9925918579101562]
+Cc1cnc(N)nc1-c1ccc(-c2cn[nH]c2)cc1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['Cc1cnc(N)nc1Br', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Cc1cnc(N)nc1Br']; [1.0, 0.9999974966049194, 0.9999861121177673, 0.9998496174812317, 0.9976003170013428]
+Cc1cnc(N)nc1Nc1ccncc1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['Nc1ccncc1', 'Nc1ccncc1']; [0.9998142719268799, 0.9905251264572144]
+Cc1cnc(N)nc1-c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
+Cc1cnc(N)nc1NCc1ccccc1F; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1O']; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; [0.9999758005142212, 0.9995977878570557, 0.9995793104171753]
 Cc1cnc(N)nc1-c1ccc2c(c1)CS(=O)(=O)N2C; [None]; [None]; [0]
+CCCn1cnc(-c2nc(N)ncc2C)n1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1csc2ncncc12; [None]; [None]; [0]
 COc1cc(-c2nc(N)ncc2C)ccc1C(=O)[O-]; [None]; [None]; [0]
 Cc1cnc(N)nc1-c1cn(C(C)C)nn1; [None]; [None]; [0]
+CSc1nc(-c2nc(N)ncc2C)c[nH]1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc(CCC#N)c1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Br']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; [0.999961256980896, 0.9978018999099731, 0.9922752380371094, 0.8368355631828308]
+Cc1cnc(N)nc1-c1cnoc1C(C)C; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cncnc1N; [None]; [None]; [0]
 Cc1cnc(N)nc1CCc1c[nH]nn1; [None]; [None]; [0]
-Cc1cnc(N)nc1CCNC(=O)CC(C)(C)O; [None]; [None]; [0]
-Cc1cnc(N)nc1NC(=O)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cc1cnc(N)nc1Oc1ccccn1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1O', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; ['Oc1ccccn1', 'Clc1ccccn1', '[O-]c1ccccn1', 'Oc1ccccn1']; [0.9835177659988403, 0.9786702394485474, 0.9724694490432739, 0.8833669424057007]
+CCC(=O)Nc1ccc(-c2nc(N)ncc2C)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9999997615814209, 0.9999531507492065]
+Cc1cnc(N)nc1-c1ccc(F)cc1C(F)(F)F; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(Br)c(C(F)(F)F)c1']; [0.9999903440475464, 0.9961583614349365, 0.9958935976028442, 0.9897310137748718, 0.9789846539497375]
+Cc1cnc(N)nc1NC(=O)c1c(Cl)cccc1Cl; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['NC(=O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl']; [0.9998798370361328, 0.999164342880249]
+Cc1cnc(N)nc1-c1cc2ccccc2[nH]1; [None]; [None]; [0]
+Cc1cnc(N)nc1N1CCC(S(C)(=O)=O)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9999706745147705, 0.9998981952667236]
 Cc1cnc(N)nc1OCC(C)(C)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2nc(N)ncc2C)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl']; [0.9999997615814209, 0.9999887347221375, 0.9999861717224121, 0.9999784231185913, 0.9977868795394897, 0.9927378296852112, 0.9894292950630188, 0.9566170573234558, 0.9327788352966309]
+CCNc1nc2ccc(-c3nc(N)ncc3C)cc2s1; [None]; [None]; [0]
+CCCn1cc(-c2nc(N)ncc2C)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Cc1cnc(N)nc1Cl']; [0.9993418455123901]
+Cc1cnc(N)nc1-c1cnn2ccccc12; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Cl', 'OB(O)c1cnn2ccccc12']; [0.9996487498283386, 0.9976590871810913]
+Cc1cnc(N)nc1CCNC(=O)CC(C)(C)O; [None]; [None]; [0]
+Cc1cnc(N)nc1CCCC(N)=O; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cc[nH]c(=O)c1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc2c1C(=O)CC2; ['Cc1cnc(N)nc1Br']; ['O=C1CCc2cccc(Br)c21']; [0.9975544214248657]
+Cc1cnc(N)nc1-c1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
+Cc1cnc(N)nc1O[C@H](C)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1O']; [0.9851745367050171, 0.9566464424133301]
+CCN(CC)c1nc(N)ncc1C; ['CCNCC', 'CCNCC']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9984023571014404, 0.9968503713607788]
+COc1cc(CCc2nc(N)ncc2C)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1', 'COc1cc(CCBr)cc(OC)c1', 'COc1cc(CCl)cc(OC)c1']; ['Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1C']; [0.9796853065490723, 0.967576801776886, 0.9184771180152893]
+COc1ccncc1Nc1nc(N)ncc1C; ['COc1ccncc1N', 'COc1ccncc1N']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9999297857284546, 0.9968349933624268]
 Cc1cnc(N)nc1-c1ccc(C[NH3+])c(C(F)(F)F)c1; [None]; [None]; [0]
-Cc1cnc(N)nc1O[C@H](C)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1nc(N)ncc1C; [None]; [None]; [0]
+COc1cccc(F)c1-c1nc(N)ncc1C; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Br']; [0.9999992847442627, 0.9999973177909851, 0.9999157190322876, 0.9997988939285278, 0.9995707869529724, 0.9993575811386108, 0.9993417263031006]
+Cc1cnc(N)nc1Nc1cnccc1-c1ccccc1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.999780535697937, 0.9540344476699829]
+Cc1cnc(N)nc1Nc1cnc2ccccc2c1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; [0.9997811317443848, 0.7950827479362488]
+Cc1cnc(N)nc1-c1cncc(OC(C)C)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9999997615814209, 0.9999990463256836, 0.9999513626098633, 0.9997007846832275, 0.9995061159133911]
+Cc1cnc(N)nc1-c1ccc([S@](C)=O)cc1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cnc2[nH]ccc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'OB(O)c1cnc2[nH]ccc2c1', 'Cc1cnc(N)nc1Cl', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 0.9999993443489075, 0.9999269247055054, 0.9977221488952637]
 Cc1cnc(N)nc1-c1cc2c(=O)[nH]cc(Br)c2s1; [None]; [None]; [0]
-Cc1cnc(N)nc1Nc1cnccc1-c1ccccc1; [None]; [None]; [0]
-Cc1cnc(N)nc1N(C)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1nc(N)ncc1C; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1c[nH]c2cnccc12; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'c1cc2cc[nH]c2cn1']; [0.9999931454658508, 0.9993059635162354, 0.9459517002105713]
+Cc1cnc(N)nc1-c1ccc(S(=O)(=O)NC(C)(C)C)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9999997615814209, 0.9999805688858032, 0.9997532963752747]
+Cc1cnc(N)nc1-c1ccc(S(C)(=O)=O)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [1.0, 0.9999892711639404, 0.9999793767929077, 0.9999079704284668, 0.9991658926010132, 0.9986981153488159, 0.9914479851722717]
 Cc1cnc(N)nc1N[C@@H](C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cc1cnc(N)nc1-n1ccc(CO)n1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9990795850753784, 0.9953725337982178]
+Cc1cnc(N)nc1C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Cc1cnc(N)nc1N[C@H](C)C(C)(C)O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; [0.9822967052459717, 0.9415808916091919]
+Cc1cnc(N)nc1N[C@@H](C)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O', 'CC(N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1O']; [0.9822967052459717, 0.9415808916091919, 0.9415808916091919, 0.8642306923866272]
+Cc1cnc(N)nc1N(C)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Cc1cnc(N)nc1-n1ncc2ccccc21; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9985506534576416, 0.9844045639038086]
+Cc1cnc(N)nc1-c1c(F)cccc1Cl; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br', 'Cc1cnc(N)nc1Cl', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Br']; [0.9999997019767761, 0.9999974370002747, 0.9999430179595947, 0.9999054670333862, 0.9991254806518555, 0.9991204738616943, 0.9987235069274902]
+Cc1cnc(N)nc1-n1ncc2c(O)cccc21; ['Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.9998108148574829, 0.9995607137680054]
+Cc1cnc(N)nc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
+Cc1cnc(N)nc1-n1cnc(CCO)c1; [None]; [None]; [0]
+Cc1cc(-c2nc(N)ncc2C)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+COc1ccc(-c2nc(N)ncc2C)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [0.999997079372406, 0.9999924302101135, 0.9998124837875366, 0.99872225522995, 0.9969778060913086, 0.9908180832862854, 0.9461666345596313]
+Cc1cnc(N)nc1-c1ccc(C(=O)c2ccccc2)cc1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Cc1cnc(N)nc1Br', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['Cc1cnc(N)nc1Br', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Cc1cnc(N)nc1Cl', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.999998927116394, 0.9999747276306152, 0.999927282333374, 0.9994655847549438, 0.9943540692329407, 0.9902509450912476]
+Cc1cnc(N)nc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+CSc1nc(C)c(-c2nc(N)ncc2C)[nH]1; [None]; [None]; [0]
 Cc1cnc(N)nc1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
-Cc1cnc(N)nc1Cc1nnc2ccc(-c3ccccc3)nn12; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1nncn1C(C)C; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1nncn1C1CC1; [None]; [None]; [0]
+Cc1cnc(N)nc1CCC(=O)NCc1ccccn1; [None]; [None]; [0]
 Cc1cnc(N)nc1CS(=O)(=O)NCc1ccccn1; [None]; [None]; [0]
+Cc1cnc(N)nc1Cc1nnc2ccc(-c3ccccc3)nn12; [None]; [None]; [0]
+CCc1cc(-c2nc(N)ncc2C)nc(N)n1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1nnc(N)s1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc(N)ncc2C)s1; [None]; [None]; [0]
+CCCCc1cc(-c2nc(N)ncc2C)nc(N)n1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1nc2ccccc2s1; ['Cc1cnc(N)nc1Br', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['c1ccc2scnc2c1', 'Cc1cnc(N)nc1Cl']; [0.999221682548523, 0.9872279167175293]
 Cc1cnc(N)nc1-c1cc(C(N)=O)cn1C; [None]; [None]; [0]
-Cc1cnc(N)nc1Oc1ccc(C[NH3+])cc1F; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc2ccsc12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C']; ['Cc1cnc(N)nc1Cl']; [0.9962188005447388]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3nc(N)ncc3C)c2)cc1; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1ccc2c(n1)NC(=O)C(C)(C)O2; [None]; [None]; [0]
-Cc1cnc(N)nc1-c1cccc2nnsc12; [None]; [None]; [0]
-COc1ccc(Oc2nc(N)ncc2C)c(F)c1F; [None]; [None]; [0]
 Cc1cnc(N)nc1-c1cccc(C(C)(C)O)n1; [None]; [None]; [0]
+Cc1cnc(N)nc1Oc1ccc(C[NH3+])cc1F; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2nc(N)ncc2C)CC1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc2nnsc12; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cncc(N)n1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ccc2c(n1)NC(=O)C(C)(C)O2; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1nc(N)ncc1C; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1']; [0.9999990463256836, 0.9999987483024597, 0.9998718500137329, 0.9997564554214478, 0.9997155666351318, 0.9993430376052856, 0.9834225177764893]
+Cc1cnc(N)nc1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2nc(N)ncc2C)[nH]1; [None]; [None]; [0]
+COc1ccc(Oc2nc(N)ncc2C)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(Br)c(F)c1F', 'COc1ccc(F)c(F)c1F']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1O', 'Cc1cnc(N)nc1O']; [0.9997693300247192, 0.9977589845657349, 0.9887787103652954, 0.9458983540534973]
+COc1ccc(OC)c(-c2nc(N)ncc2C)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl']; [0.9999985694885254, 0.9997351169586182, 0.9996953010559082, 0.9975900650024414]
+Cc1cnc(N)nc1-c1cn(CCO)cn1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+Cc1cnc(N)nc1N1CCC(c2nc3ccccc3[nH]2)CC1; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9997622966766357, 0.9966228008270264]
+Cc1cnc(N)nc1N1CC=C(c2c[nH]c3ccccc23)CC1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Cc1cnc(N)nc1Cl']; [0.999962329864502]
 Cc1cnc(N)nc1-c1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
-Oc1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cccc(S(=O)(=O)N(C)C)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Br', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Cl', 'Cc1cnc(N)nc1Br']; [1.0, 0.9999992251396179, 0.9999960660934448, 0.9999704360961914, 0.9999575018882751, 0.9995962977409363, 0.999176025390625]
+Cc1cnc(N)nc1[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
+Cc1cnc(N)nc1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
 c1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c2cccnc2c1; [None]; [None]; [0]
+Oc1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)ccc1Cl; [None]; [None]; [0]
+Oc1cccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
+Clc1ccc2c(c1N1CCc3n[nH]c(-c4ccncc4)c3C1)OCO2; [None]; [None]; [0]
 CCc1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
 c1ccc2c(N3CCc4n[nH]c(-c5ccncc5)c4C3)n[nH]c2c1; [None]; [None]; [0]
-Oc1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)ccc1Cl; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
-Cn1c(N2CCc3n[nH]c(-c4ccncc4)c3C2)nc2ccccc21; [None]; [None]; [0]
-Clc1cccc(Cl)c1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
-Fc1ccc(ON2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c(F)c1; [None]; [None]; [0]
 Oc1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
+Clc1cccc(Cl)c1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
+NC(=O)c1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c(F)c1; [None]; [None]; [0]
 Nc1nccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)n1; [None]; [None]; [0]
-Clc1[nH]ncc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
+Oc1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c(F)c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(N3CCc4n[nH]c(-c5ccncc5)c4C3)cc2[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
 Oc1ccc(-c2ccc(N3CCc4n[nH]c(-c5ccncc5)c4C3)cc2)c(O)c1; [None]; [None]; [0]
+COc1ccc(F)cc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
 COc1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)ccc1O; [None]; [None]; [0]
+Clc1[nH]ncc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
 O=C([O-])c1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
 COC(=O)c1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)o1; [None]; [None]; [0]
-COc1cc(CCN2CCc3n[nH]c(-c4ccncc4)c3C2)ccc1O; [None]; [None]; [0]
 Clc1cccc(OCN2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
 Brc1cccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
+c1ccc2cc(N3CCc4n[nH]c(-c5ccncc5)c4C3)ccc2c1; [None]; [None]; [0]
+Oc1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1F; [None]; [None]; [0]
+Cn1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c2ccccc21; [None]; [None]; [0]
 Oc1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c(O)c1; [None]; [None]; [0]
-COC(=O)c1ccc(Cl)c(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
 c1cnn2ncc(N3CCc4n[nH]c(-c5ccncc5)c4C3)c2c1; [None]; [None]; [0]
+c1cc(-c2[nH]nc3c2CN(c2c[nH]c4cnccc24)CC3)ccn1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
 Clc1ccccc1OCN1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
 Fc1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1Cl; [None]; [None]; [0]
-Clc1ccc(CCN2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
+Nc1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)ccn1; [None]; [None]; [0]
 OC[C@H](c1ccccc1)N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
-Cc1ccc(O)cc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
+Clc1ccc(CCN2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
+Oc1ncc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1Cl; [None]; [None]; [0]
 Oc1ccc(Cl)c(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
-Clc1ccc2c(c1N1CCc3n[nH]c(-c4ccncc4)c3C1)OCO2; [None]; [None]; [0]
 Cc1ccc(CO)cc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
-Oc1ncc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1Cl; [None]; [None]; [0]
 NC(=O)c1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
 COc1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1OC; [None]; [None]; [0]
+COc1cc(OC)cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(N3CCc4n[nH]c(-c5ccncc5)c4C3)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(N3CCc4n[nH]c(-c5ccncc5)c4C3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
-c1cc(-c2[nH]nc3c2CN(c2cnc4[nH]ccc4c2)CC3)ccn1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
+Oc1cncc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
 c1ccc2sc(N3CCc4n[nH]c(-c5ccncc5)c4C3)nc2c1; [None]; [None]; [0]
+c1cc(-c2[nH]nc3c2CN(c2cnc4[nH]ccc4c2)CC3)ccn1; [None]; [None]; [0]
 O=C1Cc2cc(N3CCc4n[nH]c(-c5ccncc5)c4C3)ccc2N1; [None]; [None]; [0]
-Oc1cncc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
-C[C@H](CC(N)=O)N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
-CNc1nccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
+CNc1nccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)n1; [None]; [None]; [0]
+Cc1n[nH]c(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1C; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
-Cc1n[nH]c2cc(N(C)N3CCc4n[nH]c(-c5ccncc5)c4C3)ccc12; [None]; [None]; [0]
+FC(F)c1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)[nH]n1; [None]; [None]; [0]
 Cc1cc(O)ccc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
-CN(c1cccc(Cl)c1)N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
+Clc1cnccc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
 CCc1sccc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
 Oc1c(Cl)cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1Cl; [None]; [None]; [0]
+CNc1nc(N2CCc3n[nH]c(-c4ccncc4)c3C2)ncc1F; [None]; [None]; [0]
 c1cc(-c2[nH]nc3c2CN(c2ccc4c(c2)CCN4)CC3)ccn1; [None]; [None]; [0]
 Oc1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)nc2ccnn12; [None]; [None]; [0]
 Cc1oc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1C(=O)[O-]; [None]; [None]; [0]
 O=c1[nH]c2ccc(N3CCc4n[nH]c(-c5ccncc5)c4C3)cc2[nH]1; [None]; [None]; [0]
-Cn1ncc(N)c1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
-c1cc(NN2CCc3n[nH]c(-c4ccncc4)c3C2)ccn1; [None]; [None]; [0]
-Fc1cc(Br)ccc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
 Fc1ccc2n[nH]c(N3CCc4n[nH]c(-c5ccncc5)c4C3)c2c1; [None]; [None]; [0]
-Cc1n[nH]c(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1C; [None]; [None]; [0]
+Fc1cc(Br)ccc1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
 CNC(=O)c1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
 Oc1cc(Br)cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
 O=C(NC1CC1)c1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
-Cc1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)ccc1C(N)=O; [None]; [None]; [0]
 Cc1nc2ccc(N3CCc4n[nH]c(-c5ccncc5)c4C3)cc2o1; [None]; [None]; [0]
 Oc1c(F)cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1F; [None]; [None]; [0]
+Cc1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1cc(N2CCc3n[nH]c(-c4ccncc4)c3C2)cc(C)c1O; [None]; [None]; [0]
 O=c1[nH][nH]c2cc(N3CCc4n[nH]c(-c5ccncc5)c4C3)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
 CSc1cccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c1; [None]; [None]; [0]
-c1ccc(CON2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
-c1ccc2c(CCN3CCc4n[nH]c(-c5ccncc5)c4C3)c[nH]c2c1; [None]; [None]; [0]
-c1ccc2c(CON3CCc4n[nH]c(-c5ccncc5)c4C3)cccc2c1; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
-Fc1ccc(ON2CCc3n[nH]c(-c4ccncc4)c3C2)c(F)c1; [None]; [None]; [0]
-Fc1ccccc1ON1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
+CCOc1ccc(-c2cc(N)ncc2Cl)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccccc1', 'CCOc1ccccc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Cl)cn1']; [1.0, 0.9999992847442627, 0.9999932050704956, 0.9999885559082031, 0.9999881982803345, 0.999947190284729, 0.9997873306274414, 0.9997137784957886, 0.9988716840744019, 0.985256552696228, 0.9790135622024536, 0.9635211229324341, 0.9504299163818359]
+CC(=O)N(C)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccccc1', 'CC(=O)N(C)c1ccccc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.999998152256012, 0.9999949932098389, 0.9999427795410156, 0.955593466758728, 0.8690454959869385]
+Nc1cc(-c2ncc3ccccc3n2)c(Cl)cn1; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1N1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
-Fc1ccc(N2CCc3n[nH]c(-c4ccncc4)c3C2)c(Cl)c1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cc(N)ncc1Cl; ['Cc1csc(C(C)(C)O)n1', 'Cc1csc(C(C)(C)O)n1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9886959791183472, 0.9511496424674988]
+COc1ncccc1-c1cc(N)ncc1Cl; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1B(O)O']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999831914901733, 0.9998789429664612, 0.9993367195129395, 0.9953556060791016, 0.9755143523216248]
+Cc1ccc2ncn(-c3cc(N)ncc3Cl)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1']; [0.9436163902282715, 0.7667827606201172]
+CS(=O)(=O)c1cccc(-c2cc(N)ncc2Cl)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [1.0, 0.9999996423721313, 0.9999943971633911, 0.9999874234199524, 0.9999836087226868, 0.9988340139389038]
 Clc1ccc(-c2[nH]ncc2N2CCc3n[nH]c(-c4ccncc4)c3C2)cc1; [None]; [None]; [0]
-Fc1ccc(CON2CCc3n[nH]c(-c4ccncc4)c3C2)c(F)c1; [None]; [None]; [0]
-Fc1ccc(CCN2CCc3n[nH]c(-c4ccncc4)c3C2)c(F)c1; [None]; [None]; [0]
-Fc1cccc(Cl)c1CNN1CCc2n[nH]c(-c3ccncc3)c2C1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(Nc3ncc(Cl)cn3)cc2)CC1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(Nc3ncc(Cl)cn3)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(Nc2ncc(Cl)cn2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(Nc3ncc(Cl)cn3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2ncc(Cl)cn2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(Nc3ncc(Cl)cn3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-Nc1cc(Nc2ncc(Cl)cn2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(Nc2ncc(Cl)cn2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(Nc1ncc(Cl)cn1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NNc2ncc(Cl)cn2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(Nc3ncc(Cl)cn3)[nH]c2c1; [None]; [None]; [0]
-Clc1cnc(Nc2ncn3c2CCCC3)nc1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(Nc3ncc(Cl)cn3)cn2)CC1; [None]; [None]; [0]
-O=C(NNc1ncc(Cl)cn1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(Nc3ncc(Cl)cn3)cc2)n1C; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1ncc(Cl)cn1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-Cn1nc(Nc2ncc(Cl)cn2)cc1C(C)(C)O; [None]; [None]; [0]
+COc1cc(-c2cc(N)ncc2Cl)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cccc(OC)c1OC', 'COc1cccc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Cl)cn1']; [0.9999979734420776, 0.9999949932098389, 0.9999935626983643, 0.9999899864196777, 0.9999264478683472, 0.9997807741165161, 0.9938482642173767, 0.9930210113525391, 0.9669173955917358, 0.9587083458900452]
+Nc1cc(-c2cnc3cccnn23)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['c1cnn2ccnc2c1']; [0.9999980330467224]
+N#Cc1ccc(O)c(-c2cc(N)ncc2Cl)c1; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999159574508667, 0.9997671842575073, 0.9910483360290527]
+Nc1cc(-c2cccc(O)c2)c(Cl)cn1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1']; [0.9999917149543762, 0.9999527931213379, 0.9998739361763, 0.9926002621650696]
+Nc1cc(-c2cccc(NC(=O)C3CC3)c2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['O=C(Nc1cccc(Br)c1)C1CC1']; [0.999333381652832]
+COc1ccc(-c2cc(N)ncc2Cl)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OCC(C)(C)CO2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccccc1', 'COc1ccccc1', 'COc1ccc(I)cc1', 'COc1ccc(Br)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Cl)cn1']; [0.9999996423721313, 0.9999964237213135, 0.9999963045120239, 0.9999676942825317, 0.9999662637710571, 0.9998191595077515, 0.9987964630126953, 0.9893033504486084, 0.9807621836662292, 0.8417829275131226, 0.7776579856872559]
+Nc1cc(-c2ccc(N3CCOCC3)cc2)c(Cl)cn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1cc(I)c(Cl)cn1', 'OB(O)c1ccc(N2CCOCC2)cc1']; [1.0, 1.0, 0.9999990463256836, 0.9999986886978149, 0.9999967813491821, 0.9999701976776123, 0.9999492168426514]
+Nc1cc(-c2nc3ccccc3[nH]2)c(Cl)cn1; ['Nc1cc(C(=O)O)c(Cl)cn1']; ['Nc1ccccc1N']; [0.9996742010116577]
+Nc1cc(Nc2ncccn2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9987446069717407, 0.9912582039833069]
+NC(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; [0.9999967813491821, 0.9999839067459106, 0.9999324083328247, 0.9998253583908081, 0.9994227886199951, 0.9947131872177124, 0.8383246064186096]
+Nc1cc(-c2ccc(C(=O)[O-])cc2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2nccc3ccccc23)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)c(Cl)cn1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'Nc1cc(Cl)c(Cl)cn1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.9999985694885254, 0.9999957084655762, 0.9999562501907349, 0.9998464584350586, 0.9998328685760498, 0.9966340065002441]
+N#Cc1cccc(Cn2cc(-c3cc(N)ncc3Cl)cn2)c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(N)ncc3Cl)cc2)CC1; [None]; [None]; [0]
-Nc1cc(-c2ccc3c(c2)CS(=O)(=O)C3)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2cccc(C3CCNCC3)c2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2ccc(OCCO)cc2)c(Cl)cn1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'Nc1cc(Cl)c(Cl)cn1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccccc1', 'OCCOc1ccc(I)cc1']; [0.9999996423721313, 0.9999988079071045, 0.9999672770500183, 0.9999526739120483, 0.9999113082885742, 0.9985491037368774, 0.9909825921058655, 0.9791848063468933, 0.9120590090751648]
+CC(=O)NCc1ccc(-c2cc(N)ncc2Cl)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9999996423721313, 0.9999959468841553, 0.999993622303009, 0.9998844265937805, 0.9997769594192505, 0.9983645677566528, 0.9964708089828491]
+Nc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)c(Cl)cn1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'Nc1cc(Cl)c(Cl)cn1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccccc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 0.9999997615814209, 0.9999990463256836, 0.9999979734420776, 0.9999971389770508, 0.9999524354934692, 0.8869229555130005, 0.8702515363693237]
+CNS(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.999999463558197, 0.999997079372406, 0.9999659657478333, 0.9998856782913208, 0.9997285604476929, 0.9937812089920044, 0.9804412126541138]
+Nc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)c(Cl)cn1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(F)(F)F)cc2)c(Cl)cn1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccccc1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccccc1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccc(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [1.0, 0.9999984502792358, 0.9999933242797852, 0.9999868869781494, 0.9997661709785461, 0.9958678483963013, 0.9905917644500732, 0.9890276193618774, 0.984939694404602]
+CN(C)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccccc1', 'CN(C)c1ccccc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9999992847442627, 0.9999515414237976, 0.9999217391014099, 0.9998130798339844, 0.9970220923423767, 0.9616031646728516, 0.9334856271743774]
+Nc1cc(-c2ccc3c(c2)CS(=O)(=O)C3)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9989191889762878]
+CN(C)S(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccccc1', 'CN(C)S(=O)(=O)c1ccccc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; [1.0, 0.9999938011169434, 0.9999922513961792, 0.9999841451644897, 0.9997259378433228, 0.9821619391441345, 0.9688254594802856, 0.95274817943573, 0.8912814259529114]
+C[C@@H](O)COc1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc(N)ncc2Cl)s1; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1', 'Cc1csc(C)n1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9999980330467224, 0.9982473254203796, 0.9874155521392822]
+CCNS(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9998974800109863, 0.9997549057006836, 0.9984332919120789]
+Nc1cc(Cc2cnc(N)nc2)c(Cl)cn1; [None]; [None]; [0]
 CC(C)c1cc(-c2cc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
+Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(Cc2ccccc2O)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2ccc(Br)cc2)c(Cl)cn1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(Br)cc2)OC1', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Brc1ccc(I)cc1', 'Brc1ccccc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Nc1ccc(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9999994039535522, 0.9999939203262329, 0.9999679327011108, 0.9999277591705322, 0.999923825263977, 0.99725341796875, 0.9874646663665771, 0.8926782608032227]
+CCCOc1ccc(-c2cc(N)ncc2Cl)nc1; ['CCCOc1ccc(Br)nc1', 'CCCOc1ccc(Br)nc1', 'CCCOc1ccc(Br)nc1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; [0.9998358488082886, 0.9989602565765381, 0.8456525206565857]
+CN(C)c1ccc(-c2cc(N)ncc2Cl)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl', 'CN(C)c1ccccc1Cl']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9999997019767761, 0.9999989867210388, 0.9999752044677734, 0.9995001554489136, 0.9883371591567993, 0.9620823860168457, 0.8455487489700317]
 CC(=O)N1CCCN(c2cccc(-c3cc(N)ncc3Cl)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cc(N)ncc2Cl)nc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999948740005493, 0.999976634979248, 0.9999489188194275, 0.9987955689430237, 0.9967145919799805]
+CCN(CC)C(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Cl)cn1']; [1.0, 0.9999991655349731, 0.9999924302101135, 0.999990701675415, 0.9999598264694214, 0.9995440244674683, 0.9985219836235046, 0.9912281036376953, 0.8542333841323853]
+Cc1c(C(=O)[O-])cccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+Nc1cc(-c2ccn3nccc3n2)c(Cl)cn1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc(N)ncc1Cl; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1Br']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9999838471412659, 0.9999774694442749, 0.9999608993530273, 0.9989362359046936, 0.9988850951194763, 0.9951579570770264]
+Nc1cc(-c2ccccc2-n2cccn2)c(Cl)cn1; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1ccccc1-n1cccn1']; [0.9999926090240479, 0.999972939491272, 0.9999277591705322, 0.9999253153800964, 0.9994611740112305, 0.9843789339065552]
+Nc1cc(-c2c[nH]c3ccccc23)c(Cl)cn1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Brc1c[nH]c2ccccc12']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'OB(O)c1c[nH]c2ccccc12', 'OB(O)c1c[nH]c2ccccc12', 'Nc1cc(Br)c(Cl)cn1']; [0.9998469352722168, 0.9997478723526001, 0.9989372491836548, 0.9988662004470825, 0.9902118444442749]
+COc1ccc(Cc2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccc3c(c2)CCO3)c(Cl)cn1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Brc1ccc2c(c1)CCO2', 'Nc1cc(Br)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ccc(Cl)cn1', 'c1ccc2c(c1)CCO2']; [0.9999997615814209, 0.999997079372406, 0.9999915361404419, 0.9998756647109985, 0.994261622428894, 0.9492355585098267]
+CC(=O)Nc1cccc(-c2cc(N)ncc2Cl)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999977946281433, 0.9999790787696838, 0.9999574422836304, 0.9998409152030945, 0.9988248348236084, 0.992978572845459]
+COc1cc(OC)c(-c2cc(N)ncc2Cl)cc1Cl; [None]; [None]; [0]
+COc1cc(-c2cc(N)ncc2Cl)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(Br)ccc1O']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; [0.9999925494194031, 0.9999527931213379, 0.9999494552612305, 0.9999030232429504, 0.9993753433227539, 0.9965043663978577, 0.952472448348999]
+Nc1cc(-c2cccc3c2OCO3)c(Cl)cn1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2']; [0.9999976754188538, 0.9996501207351685, 0.9993759393692017, 0.9397578239440918]
 CC(C)c1ccc2nc(-c3cc(N)ncc3Cl)[nH]c2c1; [None]; [None]; [0]
+Nc1cc(-c2scc3c2OCCO3)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['c1scc2c1OCCO2']; [0.9990706443786621]
+Nc1cc(-c2cc(-c3ccccc3)[nH]n2)c(Cl)cn1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+Nc1cc(-c2cnc3ccccc3c2)c(Cl)cn1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1cnc2ccccc2c1', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cnc2ccccc2c1']; [0.9999992847442627, 0.9999947547912598, 0.9999614953994751, 0.9999483227729797, 0.9999076128005981, 0.9952158331871033, 0.9950509667396545]
+CN(C)C(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [1.0, 0.9999990463256836, 0.9999943971633911, 0.9999622106552124, 0.9999510049819946, 0.9993435144424438]
+CC(C)(C)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccccc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [1.0, 0.9999986886978149, 0.9999886751174927, 0.9999818801879883, 0.9999315142631531, 0.9990795850753784, 0.9318180084228516, 0.8355580568313599]
+CC(C)(C)c1ccc(-c2cc(N)ncc2Cl)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; [0.9999998211860657, 0.9999986886978149, 0.999990701675415, 0.9999730587005615, 0.9999660849571228, 0.9994343519210815, 0.9972277283668518, 0.9961913228034973]
+Nc1cc(Cc2nc3ccc(F)c(F)c3[nH]2)c(Cl)cn1; [None]; [None]; [0]
+Cc1ccc(-c2cc(N)ncc2Cl)c(=O)[nH]1; [None]; [None]; [0]
+Nc1cc(-c2csc(N)n2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(Cc2nc3c(F)c(F)ccc3[nH]2)c(Cl)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
+Nc1cc(Cc2nc3ccccc3[nH]2)c(Cl)cn1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cc(N)ncc2Cl)c1; [None]; [None]; [0]
+Nc1cc(CCCc2ccccc2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2cc3ccccc3s2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1cc2ccccc2s1']; [0.9999803304672241]
+Nc1cc(-c2ccn(-c3cccc(Cl)c3)n2)c(Cl)cn1; [None]; [None]; [0]
+CSc1ccc(-c2cc(N)ncc2Cl)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1', 'CSc1ccccc1', 'CSc1ccccc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9999997615814209, 0.999974250793457, 0.9999692440032959, 0.9999355673789978, 0.9995278716087341, 0.9027956128120422, 0.8415571451187134, 0.8226029872894287]
+Cc1cc(-c2cc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc(N)ncc3Cl)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9999933242797852, 0.9999576807022095, 0.9994975328445435, 0.9986730813980103, 0.9985815286636353]
+Nc1cc(-c2ccc(F)cc2Cl)c(Cl)cn1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999992251396179, 0.999985933303833, 0.9999818205833435, 0.9998631477355957]
+Nc1cc(-c2ncc(Br)cn2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2ccc3c(c2)CCC(=O)N3)c(Cl)cn1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999979734420776, 0.9999806880950928, 0.9998880624771118]
+COc1ccc(-c2cc(N)ncc2Cl)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccccc1OC']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9999980926513672, 0.999985933303833, 0.999896764755249, 0.9998942613601685, 0.9993653297424316, 0.9929284453392029, 0.9644936919212341]
+CC[C@@H](CO)c1cc(N)ncc1Cl; [None]; [None]; [0]
+CCc1ccc(-c2cc(N)ncc2Cl)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(I)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; [0.9999998211860657, 0.9999750852584839, 0.9999344348907471, 0.999383807182312, 0.9959715604782104, 0.9527833461761475]
+Nc1cc(-c2ccc(Cl)cc2Cl)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; ['OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9999020099639893, 0.9998024702072144]
+COc1cc(-c2cc(N)ncc2Cl)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [1.0, 0.9999998807907104, 0.9999908804893494]
+Nc1cc(-c2cc3ccccn3n2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(CCCn2cncn2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc([C@H](CO)Cc2ccccc2)c(Cl)cn1; [None]; [None]; [0]
+Cn1cc(-c2cc(N)ncc2Cl)c(C(F)(F)F)n1; ['Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9999992251396179, 0.9999991655349731, 0.9999983310699463, 0.9999960064888]
+CC1(C)Cc2cc(-c3cc(N)ncc3Cl)ccc2O1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Nc1cc(-c2cccc3ccc(O)cc23)c(Cl)cn1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999183416366577, 0.9969084858894348]
+Nc1cc(-c2ncc3cccn3n2)c(Cl)cn1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cc(N)ncc3Cl)c2c1; [None]; [None]; [0]
+COc1cc(-c2cc(N)ncc2Cl)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; [0.9999997019767761, 0.9999986886978149, 0.9999956488609314, 0.9999319314956665, 0.9996931552886963, 0.9921199083328247]
+COc1cc(F)c(-c2cc(N)ncc2Cl)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999997615814209, 0.9999897480010986, 0.9999871850013733, 0.9999748468399048, 0.995779275894165]
+Nc1cc(-c2ncc(Cl)cn2)c(Cl)cn1; [None]; [None]; [0]
+Cc1csc2c(-c3cc(N)ncc3Cl)ncnc12; [None]; [None]; [0]
+Nc1cc(-c2cnn(CCO)c2)c(Cl)cn1; ['Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1']; ['OCCn1cc(B(O)O)cn1', 'Nc1cc(I)c(Cl)cn1', 'OCCn1cc(B(O)O)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'OCCn1cc(Br)cn1']; [0.9999982118606567, 0.9999932646751404, 0.999980092048645, 0.9999768733978271, 0.9990454912185669, 0.9947797060012817]
 Nc1cc(-c2cc(N)nc3[nH]ccc23)c(Cl)cn1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(I)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; [1.0, 0.9999992251396179, 0.9999973773956299, 0.9999901056289673, 0.9999538064002991, 0.9997760057449341, 0.9964416027069092, 0.7985695600509644]
+COc1cc(-c2cc(N)ncc2Cl)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9998373985290527, 0.9975670576095581]
 Nc1cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)c(Cl)cn1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cc(N)ncc2Cl)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(N)ncc2Cl)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cccc(OC)c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9999957084655762, 0.9999905824661255, 0.9999876618385315, 0.9999769926071167, 0.999648928642273, 0.9992682933807373, 0.7796151638031006]
+CCNC(=O)N1CCC(c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)ncc2Cl)nc1; [None]; [None]; [0]
+COc1ccc2oc(-c3cc(N)ncc3Cl)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(B(O)O)cc2c1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9999739527702332, 0.9989172220230103]
+CCn1cc(-c2cc(N)ncc2Cl)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cccn1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9999953508377075, 0.9999924898147583, 0.999989926815033, 0.9999613761901855, 0.9997689723968506, 0.9908782243728638]
+Nc1cc(-c2ccc3cn[nH]c3c2)c(Cl)cn1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999912977218628, 0.9999910593032837, 0.9999329447746277, 0.9999323487281799, 0.9998582005500793, 0.9975683093070984, 0.9934490919113159]
 COc1ccc2c(c1)c(-c1cc(N)ncc1Cl)cn2C; [None]; [None]; [0]
+Nc1cc(-c2cc3ccccc3o2)c(Cl)cn1; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; ['OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1']; [0.9997953772544861, 0.999156653881073]
+Nc1cc(-c2ncc3sccc3n2)c(Cl)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc(N)ncc2Cl)c1; ['CNC(=O)c1ccc(OC)c(Br)c1']; ['Nc1cc(Br)c(Cl)cn1']; [0.9893021583557129]
+Nc1cc(-c2cc(-c3cccnc3)ccn2)c(Cl)cn1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cc(N)ncc1Cl; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9999995231628418, 0.9999954700469971]
+COc1ccc2nc(-c3cc(N)ncc3Cl)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Nc1cc(C(=O)O)c(Cl)cn1']; [0.9993149638175964]
 COc1ccc(F)c(C(=O)Nc2cc(N)ncc2Cl)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cc(N)ncc3Cl)[nH]c2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+Cn1cc(-c2cc(N)ncc2Cl)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1cc(Br)c(Cl)cn1']; [0.9999938011169434]
+Nc1cc(-c2ccc(OC(F)(F)F)cc2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1cc(Br)c(Cl)cn1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Cl)cn1']; [1.0, 1.0, 1.0, 1.0, 0.9999995827674866, 0.9999971389770508, 0.9999864101409912, 0.9999736547470093, 0.9999663829803467, 0.9999006986618042]
+CCc1cccc(-c2cc(N)ncc2Cl)n1; ['CCc1cccc(Br)n1']; ['Nc1cc(Br)c(Cl)cn1']; [0.9850419759750366]
 Nc1cc(-c2ncn3c2CCCC3)c(Cl)cn1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cc(N)ncc3Cl)cn2)CC1; [None]; [None]; [0]
-Nc1cc(NC(=O)c2cccc(OC(F)(F)F)c2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)c(Cl)cn1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(N)ncc3Cl)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Cl)cn1']; [1.0, 0.9999996423721313, 0.9999996423721313, 0.9999984502792358, 0.9999983310699463, 0.9999966621398926, 0.9999663829803467, 0.9999294281005859, 0.9996597170829773, 0.9951800107955933, 0.8217986822128296]
+Cc1n[nH]c2cc(-c3cc(N)ncc3Cl)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999997019767761, 0.999998927116394, 0.99998939037323, 0.9995536804199219]
+CC(C)(O)c1ccc2cc(-c3cc(N)ncc3Cl)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(N)ncc2Cl)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(Br)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.999998927116394, 0.9999954700469971, 0.9999936819076538, 0.9999745488166809, 0.9999359846115112, 0.999930739402771, 0.9995883703231812, 0.9983639717102051, 0.9907506704330444]
+Cc1cc(-c2cc(N)ncc2Cl)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cc(N)ncc3Cl)ccc21; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cc(N)ncc3Cl)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.999997079372406, 0.9999957084655762]
+Nc1cc(NC(=O)c2cccc(OC(F)(F)F)c2)c(Cl)cn1; ['NC(=O)c1cccc(OC(F)(F)F)c1']; ['Nc1cc(I)c(Cl)cn1']; [0.9968597888946533]
+Nc1cc(-c2cccc(N3CCCC3=O)c2)c(Cl)cn1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999922513961792, 0.9999873638153076, 0.9999643564224243]
+Nc1cc(-c2ccc(CCO)cc2)c(Cl)cn1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'OCCc1ccc(B(O)O)cc1', 'Nc1cc(Cl)c(Cl)cn1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1']; [0.9999961853027344, 0.9999691843986511, 0.9998055696487427, 0.9991313219070435, 0.9985171556472778, 0.9776732921600342]
 Cc1ncc(-c2ccc(-c3cc(N)ncc3Cl)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)ncc2Cl)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999880790710449, 0.9998839497566223, 0.9975103139877319]
+CN(C)C(=O)c1ccc(-c2cc(N)ncc2Cl)c(Cl)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cc(N)ncc1Cl; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Nc1ccc(Cl)cn1']; [0.8757326006889343]
+Cc1cc(N2CCOCC2)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999847412109375, 0.999686598777771, 0.9992334246635437]
+CCNC(=O)Cc1ccc(-c2cc(N)ncc2Cl)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.9981156587600708]
+CN(C)C(=O)c1ccc(-c2cc(N)ncc2Cl)nc1; ['CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.9952266216278076]
+CS(=O)(=O)c1ccc(Cl)c(-c2cc(N)ncc2Cl)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc(N)ncc1Cl; ['CNC(=O)c1ccccc1B(O)O']; ['Nc1cc(Br)c(Cl)cn1']; [0.9998058080673218]
 Cn1nc(-c2cc(N)ncc2Cl)cc1C(C)(C)O; [None]; [None]; [0]
+CCOc1ccccc1-c1cc(N)ncc1Cl; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999927282333374, 0.9999602437019348, 0.9999558925628662, 0.9992822408676147, 0.9943809509277344]
+C[C@H](CS(C)(=O)=O)c1cc(N)ncc1Cl; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cc(N)ncc2Cl)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(N)ncc1Cl; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9997398257255554, 0.9990178346633911]
+COC(C)(C)CCc1cc(N)ncc1Cl; [None]; [None]; [0]
+Nc1cc(-c2ccccc2OC(F)(F)F)c(Cl)cn1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999994039535522, 0.999989926815033, 0.9999731779098511, 0.9962763786315918]
+Nc1cc(-c2cccc(C(F)(F)F)c2)c(Cl)cn1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999991655349731, 0.9999446868896484, 0.9999160170555115, 0.9998862743377686, 0.9959955215454102]
+Nc1cc(-c2ccnc3ccccc23)c(Cl)cn1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1ccnc2ccccc12']; [0.9999219179153442, 0.9995956420898438, 0.9994885325431824, 0.9987866878509521, 0.9825606942176819]
+Cc1nnc(-c2ccccc2-c2cc(N)ncc2Cl)[nH]1; [None]; [None]; [0]
+Nc1cc(-c2ccccc2C(=O)[O-])c(Cl)cn1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cc(N)ncc1Cl; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9997145533561707, 0.9932222366333008]
+CP(C)(=O)c1ccccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc(N)ncc3Cl)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1cc(Br)c(Cl)cn1']; [0.9888683557510376]
+Nc1cc(-c2cnn(Cc3ccccc3)c2)c(Cl)cn1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Nc1cc(Cl)c(Cl)cn1', 'c1ccc(Cn2cccn2)cc1']; [0.9999996423721313, 0.9999984502792358, 0.9999959468841553, 0.9999362230300903, 0.9711573123931885]
+Nc1cc(Cc2cc(F)cc(F)c2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2cccc(NC(=O)c3ccccc3)c2)c(Cl)cn1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999940991401672, 0.9999877214431763, 0.9999755024909973]
+CC(C)(C)c1nc(-c2cc(N)ncc2Cl)cs1; [None]; [None]; [0]
+Cc1ccc(-c2cc(N)ncc2Cl)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9999440908432007, 0.9965833425521851]
+Nc1cc(-c2cnc(-c3ccccc3)[nH]2)c(Cl)cn1; [None]; [None]; [0]
+CC(C)C(=O)COc1cc(N)ncc1Cl; [None]; [None]; [0]
+Nc1cc(-c2cc(Cl)ccc2Cl)c(Cl)cn1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cc(Cl)ccc1Cl', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999732375144958, 0.999704897403717, 0.9988531470298767, 0.9988429546356201, 0.9767438173294067]
+COc1cnc(-c2cc(N)ncc2Cl)nc1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+Nc1cc(-c2cnc3ccccn23)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999719858169556, 0.9999626874923706, 0.9970797300338745]
+Nc1cc(-c2cccc(Br)c2)c(Cl)cn1; ['Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1']; ['OB(O)c1cccc(Br)c1', 'Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cccc(Br)c1', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1cccc(Br)c1']; [0.9999874830245972, 0.9999852776527405, 0.9999462366104126, 0.9996283054351807, 0.9994431734085083]
+CNc1nc(C)c(-c2cc(N)ncc2Cl)s1; [None]; [None]; [0]
 Nc1cc(-n2ncc3cccc(F)c3c2=O)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(NCc2cccnc2)c(Cl)cn1; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9998403191566467, 0.9992154240608215, 0.9990862607955933, 0.9717957973480225]
+Cc1nc(N)sc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc(N)ncc2Cl)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.999933123588562, 0.9996119737625122, 0.9988247752189636, 0.9961111545562744, 0.9786328673362732]
+Nc1cc(-c2c(Cl)cccc2Cl)c(Cl)cn1; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1', 'Clc1cccc(Cl)c1', 'Nc1cc(Cl)c(Cl)cn1']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999198913574219, 0.999881386756897, 0.9969401359558105, 0.9948744773864746, 0.9912747144699097, 0.989795446395874]
+Nc1cc(-c2cccc(Cn3cncn3)c2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2ccnc(N)n2)c(Cl)cn1; [None]; [None]; [0]
 Cc1c(-c2cc(N)ncc2Cl)sc(=O)n1C; [None]; [None]; [0]
-Nc1cc(-c2cnn3ncccc23)c(Cl)cn1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc(N)ncc2Cl)o1; [None]; [None]; [0]
+Nc1cc(Nc2cccnc2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; ['Nc1cccnc1', 'Nc1cccnc1']; [0.9987024068832397, 0.9866902828216553]
+Nc1cc(-c2ccc3ccccc3c2)c(Cl)cn1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1ccc2ccccc2c1']; [0.999998152256012, 0.9999793767929077, 0.9999295473098755, 0.9996238946914673, 0.9983239769935608]
+Nc1cc(NC(=O)c2cccs2)c(Cl)cn1; ['NC(=O)c1cccs1']; ['Nc1cc(Br)c(Cl)cn1']; [0.9753119945526123]
+Nc1cc(NCCc2c[nH]cn2)c(Cl)cn1; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9993740916252136, 0.9967367649078369, 0.9850120544433594, 0.9781420230865479]
+Nc1cc(-c2cnn3ncccc23)c(Cl)cn1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1']; [0.9999961853027344]
+Nc1cc(-n2cnc3ccccc32)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9940603971481323, 0.9543988704681396, 0.9263603687286377]
+Nc1cc(-c2c[nH]nc2C(F)(F)F)c(Cl)cn1; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1']; [0.9999980926513672]
+Nc1cc(NCCc2ccccc2)c(Cl)cn1; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; ['Nc1cc(F)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9969597458839417, 0.9928112626075745, 0.9888685345649719, 0.8964089155197144]
+NC(=O)c1c(F)cccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cc(N)ncc3Cl)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; ['Nc1cc(Br)c(Cl)cn1']; [1.0]
+Nc1cc(-c2cncc3ccccc23)c(Cl)cn1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Ic1cncc2ccccc12', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Brc1cncc2ccccc12', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cncc2ccccc12']; [0.9999816417694092, 0.999962568283081, 0.999521017074585, 0.9993841648101807, 0.9985311031341553, 0.9973675012588501, 0.944434404373169, 0.8522864580154419]
+Nc1cc(NCc2ccc(Cl)cc2)c(Cl)cn1; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9996843338012695, 0.9980687499046326, 0.9966986179351807, 0.9659943580627441]
+Nc1cc(-c2ccc3c(N)[nH]nc3c2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2cccc(CC(=O)[O-])c2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2cccc(CO)c2)c(Cl)cn1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'Nc1cc(Cl)c(Cl)cn1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1']; [0.9999880790710449, 0.9999476671218872, 0.9998056888580322, 0.9994174242019653, 0.9991908073425293, 0.9987789392471313, 0.9962869882583618, 0.9898033142089844, 0.9426224231719971]
+Nc1cc(Nc2ccncc2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1']; [0.9997260570526123, 0.9976276159286499, 0.8384701609611511]
+Nc1cc(-c2ccc(-c3cn[nH]c3)cc2)c(Cl)cn1; [None]; [None]; [0]
 CN1c2ccc(-c3cc(N)ncc3Cl)cc2CS1(=O)=O; [None]; [None]; [0]
+Nc1cc(NCc2ccccc2F)c(Cl)cn1; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999234676361084, 0.9993808269500732, 0.9992172718048096, 0.9881483912467957]
+CC(C)n1cc(-c2cc(N)ncc2Cl)nn1; ['CC(C)n1ccnn1', 'CC(C)n1ccnn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9794512391090393, 0.9706377983093262]
+Nc1cc(-c2csc3ncncc23)c(Cl)cn1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(N)ncc2Cl)n1; [None]; [None]; [0]
 COc1cc(-c2cc(N)ncc2Cl)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cc(N)ncc2Cl)nn1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc(N)ncc2Cl)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999403953552246, 0.9999062418937683, 0.9958301782608032]
+Nc1cc(-c2cc3ccccc3[nH]2)c(Cl)cn1; ['CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2cc3ccccc3[nH]2)OC1(C)C', 'Clc1cc2ccccc2[nH]1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cc2ccccc2[nH]1', 'OB(O)c1cc2ccccc2[nH]1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'c1ccc2[nH]ccc2c1', 'c1ccc2[nH]ccc2c1']; [0.9999957084655762, 0.9999880790710449, 0.9999861717224121, 0.9999789595603943, 0.9996298551559448, 0.9785789251327515, 0.9747452735900879]
 Nc1cc(CCc2c[nH]nn2)c(Cl)cn1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cc(N)ncc1Cl; [None]; [None]; [0]
-Nc1cc(NC(=O)c2c(Cl)cccc2Cl)c(Cl)cn1; [None]; [None]; [0]
+CSc1nc(-c2cc(N)ncc2Cl)c[nH]1; [None]; [None]; [0]
+Nc1cc(-c2cncnc2N)c(Cl)cn1; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; ['Nc1ncncc1Br', 'Nc1ncncc1Br']; [0.9992125034332275, 0.9923260807991028]
+Nc1cc(-c2ccc(F)cc2C(F)(F)F)c(Cl)cn1; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9999971389770508, 0.9999945163726807, 0.9995383024215698]
+CC(C)c1oncc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc(N)ncc2Cl)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999958276748657, 0.9999912977218628, 0.9998443722724915]
+CS(=O)(=O)C1CCN(c2cc(N)ncc2Cl)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9997316002845764, 0.9995181560516357, 0.9930214881896973, 0.9294368624687195]
+Nc1cc(Oc2ccccn2)c(Cl)cn1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cc(N)ncc3Cl)cc2s1; [None]; [None]; [0]
+Nc1cc(NC(=O)c2c(Cl)cccc2Cl)c(Cl)cn1; ['NC(=O)c1c(Cl)cccc1Cl']; ['Nc1cc(I)c(Cl)cn1']; [0.9481637477874756]
 CC(C)(COc1cc(N)ncc1Cl)S(C)(=O)=O; [None]; [None]; [0]
+Nc1cc(-c2cnn3ccccc23)c(Cl)cn1; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1']; [0.999997615814209]
+CCCn1cc(-c2cc(N)ncc2Cl)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cccn1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.999998927116394, 0.9999983310699463, 0.9999874830245972, 0.999944269657135, 0.9497351050376892]
+NC(=O)CCCc1cc(N)ncc1Cl; [None]; [None]; [0]
+COc1ccc(-c2cc(N)ncc2Cl)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccccc1Cl', 'COc1ccccc1Cl']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9999995827674866, 0.999998152256012, 0.9999924898147583, 0.9999710917472839, 0.9999676942825317, 0.999668300151825, 0.9957643747329712, 0.9957517981529236, 0.9207611083984375, 0.8742790222167969]
+Nc1cc(-c2cc[nH]c(=O)c2)c(Cl)cn1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Nc1cc(Br)c(Cl)cn1']; [0.9999839067459106]
+Nc1cc(-c2cccc3c2C(=O)CC3)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['O=C1CCc2cccc(Br)c21']; [0.9982466697692871]
+CC(C)(O)CC(=O)NCCc1cc(N)ncc1Cl; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc(N)ncc1Cl; ['CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1Br']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9030479192733765, 0.8799073696136475]
+C[C@@H](Oc1cc(N)ncc1Cl)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['Nc1cc(F)c(Cl)cn1']; [0.9511348009109497]
+CC(C)(N)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CC(C)(N)c1ccc(Br)cc1']; ['Nc1cc(Br)c(Cl)cn1']; [0.9883029460906982]
+CCN(CC)c1cc(N)ncc1Cl; ['CCNCC', 'CCNCC']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1']; [0.9968721270561218, 0.992455244064331]
 Nc1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)c(Cl)cn1; [None]; [None]; [0]
-C[C@@H](Oc1cc(N)ncc1Cl)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+Nc1cc(-c2cc3c(=O)[nH]ccc3o2)c(Cl)cn1; [None]; [None]; [0]
+COc1ccncc1Nc1cc(N)ncc1Cl; ['COc1ccncc1N', 'COc1ccncc1N']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9977036714553833, 0.9631560444831848]
+Nc1cc(Nc2cnccc2-c2ccccc2)c(Cl)cn1; ['Nc1cc(Cl)c(Cl)cn1']; ['Nc1cnccc1-c1ccccc1']; [0.9051464796066284]
+COc1cc(CCc2cc(N)ncc2Cl)cc(OC)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc(N)ncc2Cl)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1']; [0.9999960660934448, 0.9999924898147583, 0.9999860525131226, 0.9999841451644897, 0.9997543096542358, 0.9982961416244507, 0.9901434183120728]
+C[S@](=O)c1ccc(-c2cc(N)ncc2Cl)cc1; [None]; [None]; [0]
+Nc1cc(Nc2cnc3ccccc3c2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2c[nH]c3cnccc23)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9993308782577515, 0.9988800287246704]
+COc1cccc(F)c1-c1cc(N)ncc1Cl; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1', 'COc1cccc(F)c1', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1', 'COc1cccc(F)c1Cl']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; [1.0, 0.9999997615814209, 0.9999996423721313, 0.9999996423721313, 0.9999993443489075, 0.9999984502792358, 0.9999964833259583, 0.9999964237213135, 0.9999857544898987, 0.9999340772628784, 0.999912679195404, 0.9978034496307373, 0.9914360642433167, 0.9879541397094727, 0.9089053869247437]
+Nc1cc(-c2cnc3[nH]ccc3c2)c(Cl)cn1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1', 'Brc1cnc2[nH]ccc2c1']; ['Nc1cc(Br)c(Cl)cn1', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1cc(I)c(Cl)cn1', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1cc(Cl)c(Cl)cn1', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1cc(Br)c(Cl)cn1']; [0.9999995231628418, 0.9999986886978149, 0.9999959468841553, 0.9999939799308777, 0.9998785257339478, 0.9993064403533936, 0.9974632859230042]
 Nc1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(Nc2cnccc2-c2ccccc2)c(Cl)cn1; [None]; [None]; [0]
-CN(c1cc(N)ncc1Cl)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [1.0, 0.9999987483024597, 0.9999879598617554, 0.9999695420265198, 0.9998932480812073, 0.9984901547431946, 0.9969877004623413, 0.9951587915420532]
+CS(=O)(=O)c1ccc(-c2cc(N)ncc2Cl)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccccc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [1.0, 0.9999973773956299, 0.9999961853027344, 0.9999947547912598, 0.9999558925628662, 0.9997389316558838, 0.9997238516807556, 0.9986383318901062, 0.9761881828308105]
+Cc1cc(-c2cc(N)ncc2Cl)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+Nc1cc(-n2ccc(CO)n2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9997071027755737, 0.9986938238143921, 0.9985368847846985]
+CC1(c2cc(N)ncc2Cl)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@H](Nc1cc(N)ncc1Cl)C(C)(C)O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1']; [0.9675641059875488, 0.9112990498542786]
 C[C@H](Nc1cc(N)ncc1Cl)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-Nc1cc(-c2ccn(CC[NH3+])n2)c(Cl)cn1; [None]; [None]; [0]
-Nc1cc(Cc2nnc3ccc(-c4ccccc4)nn23)c(Cl)cn1; [None]; [None]; [0]
+C[C@@H](Nc1cc(N)ncc1Cl)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Nc1cc(F)c(Cl)cn1']; [0.9112990498542786]
+CN(c1cc(N)ncc1Cl)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Nc1cc(-n2ncc3ccccc32)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9982426166534424, 0.9911224842071533, 0.9797439575195312, 0.8110164403915405]
+Nc1cc(-n2ncc3c(O)cccc32)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.9991860389709473, 0.9945851564407349, 0.9753814935684204]
+Nc1cc(-c2c(F)cccc2Cl)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2nc3ccc(O)cc3[nH]2)c(Cl)cn1; ['Nc1cc(C(=O)O)c(Cl)cn1']; ['Nc1ccc(O)cc1N']; [0.9970670938491821]
+COc1ccc(-c2cc(N)ncc2Cl)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9999909996986389, 0.9999273419380188, 0.9998550415039062, 0.9985454082489014, 0.9900248646736145]
+Nc1cc(-n2cnc(CCO)c2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2ccc(-n3cncn3)cc2)c(Cl)cn1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc(N)ncc2Cl)[nH]1; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)c3ccccc3)cc2)c(Cl)cn1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; ['Nc1cc(Br)c(Cl)cn1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Nc1cc(Cl)c(Cl)cn1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1']; [0.9999978542327881, 0.9999914169311523, 0.9997395277023315, 0.998778223991394, 0.9954612255096436, 0.8330620527267456]
+Nc1cc(-c2cn(Cc3ccccc3)nn2)c(Cl)cn1; ['Nc1cc(I)c(Cl)cn1']; ['c1ccc(Cn2ccnn2)cc1']; [0.9511120319366455]
 Nc1cc(CS(=O)(=O)NCc2ccccn2)c(Cl)cn1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
+Nc1cc(Cc2nnc3ccc(-c4ccccc4)nn23)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2ccn(CC[NH3+])n2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(CCC(=O)NCc2ccccn2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2nncn2C2CC2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2nnc(N)s2)c(Cl)cn1; ['NNC(N)=S', 'N#Cc1cc(N)ncc1Cl']; ['Nc1cc(C(=O)O)c(Cl)cn1', 'NNC(N)=S']; [0.9987894296646118, 0.9918866157531738]
+CNC(=O)c1ccc(-c2cc(N)ncc2Cl)s1; ['CNC(=O)c1cccs1']; ['Nc1cc(Br)c(Cl)cn1']; [0.9673452973365784]
+CCc1cc(-c2cc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(N)ncc2Cl)n1; ['CC(C)(O)c1cccc(Br)n1']; ['Nc1cc(Br)c(Cl)cn1']; [0.9048054218292236]
 CC1(C)Oc2ccc(-c3cc(N)ncc3Cl)nc2NC1=O; [None]; [None]; [0]
-Nc1cc(Oc2ccc(C[NH3+])cc2F)c(Cl)cn1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1cc(N)ncc1Cl; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(N)ncc3Cl)c2)cc1; [None]; [None]; [0]
-Nc1cc(-c2cccc3nnsc23)c(Cl)cn1; [None]; [None]; [0]
-COc1ccc(Oc2cc(N)ncc2Cl)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc(N)ncc2Cl)n1; [None]; [None]; [0]
+Nc1cc(-c2cncc(N)n2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1']; ['Nc1cncc(Cl)n1']; [0.9860795140266418]
+C[C@@H2]NC(=O)N1CCC(c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(N)ncc2Cl)nc(N)n1; [None]; [None]; [0]
+Nc1cc(-c2nc3ccccc3s2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(C(=O)O)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['c1ccc2scnc2c1', 'Nc1ccccc1S', 'c1ccc2scnc2c1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9998177886009216, 0.9997735023498535, 0.9996136426925659, 0.9984683990478516, 0.9968321323394775]
+Nc1cc(Oc2ccc(C[NH3+])cc2F)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2cccc3nnsc23)c(Cl)cn1; ['Brc1cccc2nnsc12']; ['Nc1cc(Br)c(Cl)cn1']; [0.9936073422431946]
+Nc1cc(-c2c[nH]c3cccnc23)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2nc(N)c3ccccc3n2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2ncc3cc[nH]c3n2)c(Cl)cn1; [None]; [None]; [0]
+Nc1cc(-c2cccc3ccsc23)c(Cl)cn1; [None]; [None]; [0]
+COc1ccc(Oc2cc(N)ncc2Cl)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1']; [0.999864935874939, 0.9990091323852539, 0.9935710430145264]
+COc1ccc(C#N)cc1-c1cc(N)ncc1Cl; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1', 'Nc1cc(I)c(Cl)cn1']; [0.9999980926513672, 0.9999971985816956, 0.9999933242797852, 0.999992847442627, 0.9999925494194031, 0.9998223781585693, 0.9997940063476562, 0.9988352060317993, 0.9430481791496277, 0.8770327568054199]
+Nc1cc(-c2cn(CCO)cn2)c(Cl)cn1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(N)ncc2Cl)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)c(I)c1']; ['Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1ccc(Cl)cn1']; [0.9999762773513794, 0.9999264478683472, 0.9998798370361328, 0.9998012185096741, 0.9980874061584473, 0.9963705539703369, 0.9872924089431763, 0.9574719667434692, 0.8982672691345215, 0.8591080904006958]
+CN(C)S(=O)(=O)c1cccc(-c2cc(N)ncc2Cl)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Br)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1']; [1.0, 0.9999971389770508, 0.9999925494194031, 0.9999914169311523, 0.9996237754821777]
 Nc1cc(-c2cccc(NC(=O)C3CCNCC3)c2)c(Cl)cn1; [None]; [None]; [0]
+COc1ccc2c(-c3cccc(O)c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['OB(O)c1cccc(O)c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.993140697479248, 0.9330994486808777]
+CC(=O)Nc1ncc(-c2cc(N)ncc2Cl)[nH]1; [None]; [None]; [0]
+Nc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)c(Cl)cn1; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1', 'CC(C)(C)OC(=O)N1CCC(c2nc3ccccc3[nH]2)CC1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'Nc1cc(Cl)c(Cl)cn1']; [0.9982661008834839, 0.9903348684310913, 0.9782212972640991]
+Nc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)c(Cl)cn1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'CC(C)(C)OC(=O)N1CC=C(c2c[nH]c3ccccc23)CC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Nc1cc(Br)c(Cl)cn1', 'Nc1cc(I)c(Cl)cn1', 'Nc1cc(Cl)c(Cl)cn1', 'Nc1cc(F)c(Cl)cn1', 'COc1cc(N)ncc1Cl', 'Nc1cc(Cl)c(Cl)cn1']; [0.9996286630630493, 0.9993371963500977, 0.9982901811599731, 0.9978629350662231, 0.981200635433197, 0.8587313890457153]
+CN(C)c1cc(-c2cc(N)ncc2Cl)cnn1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cc(N)ncc2Cl)CC1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(Cl)c(O)c3)ncnc2c1; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9973020553588867, 0.9969885945320129]
+COc1ccc2c(Oc3ccc(F)cc3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(O)ncnc2c1', 'COc1ccc2c(=O)[nH]cnc2c1']; ['Oc1ccc(F)cc1', 'Fc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9988681674003601, 0.9907004833221436, 0.9723871946334839]
+CNS(=O)(=O)c1ccc(-c2ncnc3cc(OC)ccc23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9994925856590271, 0.9871959090232849]
+COc1ccc2c(-c3c(Cl)ccc4c3OCO4)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1']; ['OB(O)c1c(Cl)ccc2c1OCO2']; [0.994314432144165]
+COc1ccc2c(-c3c(Cl)cccc3Cl)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9925640821456909]
+COc1ccc2c(-c3ccc(O)cc3Cl)ncnc2c1; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'OB(O)c1ccc(O)cc1Cl']; [0.9909461140632629, 0.9752805233001709]
+COc1ccc2c(-c3ccc(C(N)=O)cc3)ncnc2c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'NC(=O)c1ccc(B(O)O)cc1']; [0.9998018741607666, 0.9618262052536011]
+COc1ccc2c(-c3cccc4ncccc34)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(O)cc3F)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C']; ['OB(O)c1ccc(O)cc1F', 'COc1ccc2c(Cl)ncnc2c1']; [0.9907288551330566, 0.957362174987793]
+COc1ccc2c(-c3ccc(C(N)=O)cc3F)ncnc2c1; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(Br)c(F)c1']; [0.99959397315979, 0.9992245435714722, 0.9985100626945496]
+COc1ccc2c(-c3ccc(C(N)=O)cc3OC)ncnc2c1; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; ['COc1ccc2c(Cl)ncnc2c1']; [0.9998677968978882]
+COc1ccc2c(-c3n[nH]c4ccccc34)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cc(F)ccc3OC)ncnc2c1; ['COc1ccc(F)cc1B(O)O']; ['COc1ccc2c(Cl)ncnc2c1']; [0.9999426603317261]
+COc1ccc2c(-c3ccc(F)cc3OC)ncnc2c1; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O']; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9999284744262695, 0.9998718500137329]
+COc1ccc2c(-c3ccnc(N)n3)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(C(=O)[O-])cc3)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(O)c(OC)c3)ncnc2c1; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9958540797233582, 0.9956175088882446]
+COC(=O)c1ccc(-c2ncnc3cc(OC)ccc23)o1; ['COC(=O)c1ccc(B(O)O)o1']; ['COc1ccc2c(Cl)ncnc2c1']; [0.9588623046875]
+COc1ccc2c(-c3ccc4ccccc4c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C']; ['OB(O)c1ccc2ccccc2c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9999608993530273, 0.999802827835083]
 COc1ccc2c(-c3ccc(-c4ccc(O)cc4O)cc3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cnn4ncccc34)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cccc(Br)c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C']; ['OB(O)c1cccc(Br)c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9995373487472534, 0.9989235997200012]
+COc1ccc2c(-c3cc(F)c4nc(C)[nH]c4c3)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(O)c(F)c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C']; ['OB(O)c1ccc(O)c(F)c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9993884563446045, 0.9991304874420166]
+COC(=O)c1ccc(Cl)c(-c2ncnc3cc(OC)ccc23)c1; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(I)c1']; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2cncnc2c1']; [0.99995356798172, 0.9989591836929321, 0.8894904851913452]
+COc1ccc2c(-c3cn(C)c4ccccc34)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; ['Cn1ccc2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9992910623550415, 0.9981541633605957]
+COc1ccc2c(-c3cn[nH]c3Cl)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(O)cc3O)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1']; ['Oc1cccc(O)c1']; [0.8099663257598877]
+COc1ccc2c(-c3cnn4ncccc34)ncnc2c1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['COc1ccc2c(Cl)ncnc2c1']; [0.9999238848686218]
+COc1ccc2c(CCc3ccc(O)c(OC)c3)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(F)c(Cl)c3)ncnc2c1; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccccc1Cl']; [0.999971866607666, 0.999963641166687, 0.9205480813980103]
+COc1ccc2c(-c3ccnc(N)c3)ncnc2c1; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'Nc1cc(B(O)O)ccn1']; [0.9997943043708801, 0.9991538524627686]
+COc1ccc2c(-c3cc(O)ccc3Cl)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1']; ['OB(O)c1cc(O)ccc1Cl']; [0.9659932851791382]
+COc1ccc2c(-c3[nH]cnc3-c3ccc(F)cc3)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cnc(O)c(Cl)c3)ncnc2c1; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C']; ['COc1ccc2c(Cl)ncnc2c1']; [0.9996521472930908]
+COc1ccc2c(-c3c(C)ccc4[nH]ncc34)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O']; [0.9999655485153198, 0.9981573820114136]
+COc1ccc2c(-c3cc(CO)ccc3C)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B(O)O']; [0.9998469352722168, 0.9923193454742432]
+COc1ccc2c(-c3c[nH]c(C(N)=O)c3)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3c[nH]c4cnccc34)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(OC)c(OC)c3)ncnc2c1; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC']; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9998100996017456, 0.9991835355758667]
+COc1ccc2c(COc3ccccc3Cl)ncnc2c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ncnc3cc(OC)ccc23)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1']; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9995038509368896, 0.997610330581665]
+CCOc1cccc(-c2ncnc3cc(OC)ccc23)c1; ['CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9997818470001221, 0.9994056224822998]
+COc1ccc2c(-c3ccc(S(C)(=O)=O)cc3)ncnc2c1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9999251961708069, 0.9987866878509521]
+COc1ccc2c(-c3ccc4nc(C)[nH]c4c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1']; [0.9994454979896545]
+COc1ccc2c(-c3cncc(O)c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C']; ['OB(O)c1cncc(O)c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9814133048057556, 0.9154881238937378]
+COc1ccc2c(-c3nc4ccccc4s3)ncnc2c1; ['CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['COc1ccc2c(Cl)ncnc2c1']; [0.999398410320282]
+COc1ccc2c(-c3ccc(NC(N)=O)cc3)ncnc2c1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['COc1ccc2c(Cl)ncnc2c1']; [0.9996484518051147]
+COc1ccc2c(-c3cnc4[nH]ccc4c3)ncnc2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999836087226868, 0.9998920559883118]
+COc1ccc2c(-c3ccc4c(c3)CC(=O)N4)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C']; ['O=C1Cc2cc(B(O)O)ccc2N1', 'COc1ccc2c(Cl)ncnc2c1']; [0.998914361000061, 0.9944456815719604]
+COc1cc(CCc2ncnc3cc(OC)ccc23)cc(OC)c1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ncnc2cc(OC)ccc12; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['COc1ccc2c(Cl)ncnc2c1']; [0.9836221933364868]
 COc1ccc2c(N(C)c3ccc4c(C)n[nH]c4c3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(-c3cc(O)n4nccc4n3)ncnc2c1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ncnc4cc(OC)ccc34)ccc12; [None]; [None]; [0]
+COc1ccc2c(N(C)c3cccc(Cl)c3)ncnc2c1; ['CNc1cccc(Cl)c1']; ['COc1ccc2c(Cl)ncnc2c1']; [0.9987262487411499]
+CCc1cc(O)c(F)cc1-c1ncnc2cc(OC)ccc12; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(O)cc3C)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1']; ['Cc1cc(O)ccc1B(O)O']; [0.9924637079238892]
+COc1ccc2c(-c3[nH]nc(C)c3C)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cc(C(F)F)n[nH]3)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccncc3Cl)ncnc2c1; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1ccncc1Cl', 'COc1ccc2cncnc2c1', 'COc1ccc2cncnc2c1', 'COc1ccc2cncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'OB(O)c1ccncc1Cl', 'COc1ccc2c(Cl)ncnc2c1', 'Clc1cnccc1I', 'Clc1cnccc1Br', 'OB(O)c1ccncc1Cl']; [0.9997270107269287, 0.9939544796943665, 0.9782696962356567, 0.9612460136413574, 0.9490947723388672, 0.8477660417556763]
+CCc1sccc1-c1ncnc2cc(OC)ccc12; [None]; [None]; [0]
+COc1ccc2c([C@H](C)CC(N)=O)ncnc2c1; [None]; [None]; [0]
+CNc1nccc(-c2ncnc3cc(OC)ccc23)n1; [None]; [None]; [0]
+COc1ccc2c(-c3cc(Cl)c(O)c(Cl)c3)ncnc2c1; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cccc1Cl']; [0.9941781759262085, 0.9791358709335327, 0.8146907091140747]
+COc1ccc2c(-c3ccc4c(c3)CCN4)ncnc2c1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'OB(O)c1ccc2c(c1)CCN2']; [0.9999006986618042, 0.9991916418075562]
+COc1ccc2c(Nc3ccncc3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'Brc1ccncc1', 'COc1ccc2c(=O)[nH]cnc2c1', 'COc1ccc2c(N)ncnc2c1']; ['Nc1ccncc1', 'COc1ccc2c(N)ncnc2c1', 'Nc1ccncc1', 'Clc1ccncc1']; [0.9999822974205017, 0.9992164373397827, 0.9990200996398926, 0.9977341890335083]
+COc1ccc2c(-c3ccc4[nH]c(=O)[nH]c4c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C']; ['O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9993695616722107, 0.9989144206047058]
+COc1ccc2c(-c3ccc(Br)cc3F)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1']; ['OB(O)c1ccc(Br)cc1F', 'COc1ccc2c(Cl)ncnc2c1', 'Fc1cccc(Br)c1']; [0.9997305274009705, 0.9995274543762207, 0.8902368545532227]
+CNc1nc(-c2ncnc3cc(OC)ccc23)ncc1F; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncnc3cc(OC)ccc23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9995695352554321, 0.9967231154441833]
+COc1ccc2c(N(C)c3cccc4[nH]ncc34)ncnc2c1; ['CNc1cccc2[nH]ncc12']; ['COc1ccc2c(Cl)ncnc2c1']; [0.9999382495880127]
 COc1ccc2c(-c3cc(C(=O)[O-])c(C)o3)ncnc2c1; [None]; [None]; [0]
-COc1ccc2c(N(C)c3cccc4[nH]ncc34)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cc(O)cc(Br)c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C']; ['OB(O)c1cc(O)cc(Br)c1', 'COc1ccc2c(Cl)ncnc2c1']; [0.9880355596542358, 0.9092240333557129]
+COc1ccc2c(-c3[nH]nc4ccc(F)cc34)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3c(N)cnn3C)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cc(O)n4nccc4n3)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3ccc(C(=O)NC4CC4)cc3)ncnc2c1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'COc1ccc2c(Cl)ncnc2c1']; ['COc1ccc2c(Cl)ncnc2c1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [0.999956488609314, 0.9999094009399414]
+COc1ccc2c(-c3ccc4nc(C)oc4c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; ['Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1']; [0.9999839067459106, 0.9999129772186279]
+COc1ccc2c(-c3cccc(SC)c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(Cl)ncnc2c1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CSc1cccc(B(O)O)c1']; [0.9999134540557861, 0.9986506700515747]
+COc1ccc2c(OCc3cccc4ccccc34)ncnc2c1; ['COc1ccc2c(O)ncnc2c1', 'BrCc1cccc2ccccc12', 'COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(=O)[nH]cnc2c1', 'BrCc1cccc2ccccc12', 'COc1ccc2c(=O)[nH]cnc2c1']; ['ClCc1cccc2ccccc12', 'COc1ccc2c(O)ncnc2c1', 'OCc1cccc2ccccc12', 'OCc1cccc2ccccc12', 'COc1ccc2c(=O)[nH]cnc2c1', 'ClCc1cccc2ccccc12']; [0.9973583221435547, 0.9953181743621826, 0.9946642518043518, 0.9880985021591187, 0.98746657371521, 0.9804370403289795]
+COc1ccc2c(-c3ccc(C(N)=O)c(C)c3)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; [0.999962568283081]
+COc1ccc2c(Oc3ccc(F)cc3F)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(O)ncnc2c1', 'COc1ccc2c(=O)[nH]cnc2c1']; ['Oc1ccc(F)cc1F', 'OB(O)c1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999817609786987, 0.9999063014984131, 0.9998807907104492]
+COc1ccc2c(-c3c(-c4ccccc4)noc3C)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1']; ['Cc1onc(-c2ccccc2)c1B(O)O']; [0.9996650815010071]
+COc1ccc2c(-c3cc(C)c(O)c(C)c3)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cc(F)c(O)c(F)c3)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(OCc3ccc(F)cc3F)ncnc2c1; ['COc1ccc2c(O)ncnc2c1', 'COc1ccc2c(O)ncnc2c1', 'COc1ccc2c(O)ncnc2c1', 'COc1ccc2c(=O)[nH]cnc2c1', 'COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(=O)[nH]cnc2c1', 'COc1ccc2c(=O)[nH]cnc2c1']; ['Fc1ccc(CCl)c(F)c1', 'Fc1ccc(CBr)c(F)c1', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F', 'Fc1ccc(CCl)c(F)c1', 'Fc1ccc(CBr)c(F)c1']; [0.9997787475585938, 0.9996424913406372, 0.999176025390625, 0.9968457221984863, 0.9956415891647339, 0.9944552183151245, 0.989611029624939]
+COc1ccc2c(NCc3c(F)cccc3Cl)ncnc2c1; ['COc1ccc2c(Cl)ncnc2c1', 'COc1ccc2c(=O)[nH]cnc2c1']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl']; [0.9999921321868896, 0.9996097683906555]
+COc1ccc2c(-c3ccc4c(=O)[nH][nH]c4c3)ncnc2c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC(=O)N(C)c1ccccc1']; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccccc1', 'CC(=O)N(C)c1ccccc1', 'OB(O)c1cncc(Br)c1']; [0.9999997615814209, 0.9999978542327881, 0.9999958276748657, 0.9999821186065674, 0.9997904300689697, 0.9974443912506104, 0.994223415851593, 0.9830535650253296, 0.9828653335571289]
+CCOc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CCOc1ccc(I)cc1', 'CCOc1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'Br[Zn]c1cncc(Br)c1', 'Brc1cncc(I)c1', 'CCOc1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'CCOc1ccc([Mg]Br)cc1', 'Brc1cncc(Br)c1', 'CCOc1ccc(Cl)cc1', 'CCOc1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Cl)cc1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Br)cc1', 'OB(O)c1cncc(Br)c1', 'CCOc1ccc(I)cc1', 'CCOc1ccc([Mg]Br)cc1', 'Clc1cncc(Br)c1', 'CCOc1ccc([B-](F)(F)F)cc1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CCOc1ccc(Br)cc1', 'CCOc1ccccc1']; [0.9999994039535522, 0.9999971985816956, 0.9999966621398926, 0.9999754428863525, 0.9999655485153198, 0.9999460577964783, 0.9999113082885742, 0.9997200965881348, 0.9997167587280273, 0.9996941089630127, 0.9995112419128418, 0.9991494417190552, 0.9988623261451721, 0.9972785711288452, 0.9972720742225647, 0.9963958263397217, 0.9958473443984985, 0.9951053857803345, 0.991279125213623, 0.8939050436019897]
 COc1ccc2c(-c3ocnc3-c3ccc(F)cc3)ncnc2c1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cncc(Br)c1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cncc(Br)c3)cc2)CC1; [None]; [None]; [0]
+COc1ccc2c(CCc3c[nH]c4ccccc34)ncnc2c1; [None]; [None]; [0]
+COc1ccc2c(-c3cn[nH]c3-c3ccc(Cl)cc3)ncnc2c1; [None]; [None]; [0]
+COc1ncccc1-c1cncc(Br)c1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'COc1ncccc1I', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'COc1ncccc1Cl', 'Brc1cncc(I)c1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1I', 'COc1ncccc1Br', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1cncc(Br)c1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'OB(O)c1cncc(Br)c1', 'COc1ncccc1Br', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'COc1ncccc1I', 'COc1ncccc1Br']; [0.9999819397926331, 0.9999748468399048, 0.9999420642852783, 0.9999315738677979, 0.9993321895599365, 0.9992203712463379, 0.9963170886039734, 0.9942656755447388, 0.9927670955657959, 0.9924724102020264, 0.9867691397666931, 0.9773069620132446, 0.9301588535308838]
+Brc1cncc(-c2ncc3ccccc3n2)c1; ['Brc1ncc2ccccc2n1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Nc1ccccc1CO', 'Brc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1', 'NCc1ccccc1N', 'BrCc1ccccc1Br', 'NCc1ccccc1N', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1ncc2ccccc2n1', 'O=Cc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'O=Cc1cncc(Br)c1', 'O=Cc1cncc(Br)c1', 'OCc1cncc(Br)c1', 'c1ccc2ncncc2c1', 'Clc1ncc2ccccc2n1']; [0.9999241232872009, 0.9998729825019836, 0.9995183944702148, 0.9994988441467285, 0.9992480874061584, 0.9988049864768982, 0.98884117603302, 0.9796547889709473, 0.9524974822998047, 0.930632472038269]
+Cc1nc(C(C)(C)O)sc1-c1cncc(Br)c1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Cc1csc(C(C)(C)O)n1']; ['Cc1csc(C(C)(C)O)n1', 'Cc1csc(C(C)(C)O)n1', 'Clc1cncc(Br)c1']; [0.9972676038742065, 0.99420565366745, 0.9933346509933472]
+Brc1cncc(-c2cnc3cccnn23)c1; ['Brc1cnc2cccnn12', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cnc2cccnn12', 'Clc1cnc2cccnn12', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1']; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1cnc2cccnn12', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1', 'c1cnn2ccnc2c1']; [1.0, 0.9999998211860657, 0.9999955892562866, 0.9999951124191284, 0.9992092847824097, 0.9989538192749023, 0.9985814094543457]
+COc1cc(-c2cncc(Br)c2)cc(OC)c1OC; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'COc1cc(B(O)O)cc(OC)c1OC', 'Brc1cncc(Br)c1', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc([Mg]Br)cc(OC)c1OC', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['COc1cc(I)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Clc1cncc(Br)c1', 'COc1cc(B(O)O)cc(OC)c1OC', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc([Mg]Br)cc(OC)c1OC']; [0.9999765157699585, 0.9999738931655884, 0.9997817873954773, 0.9997683167457581, 0.99976646900177, 0.9997042417526245, 0.9992755651473999, 0.9983882904052734, 0.9931827783584595, 0.9927617907524109, 0.9906333684921265, 0.9884235858917236, 0.9295300245285034, 0.8758881092071533, 0.8211162090301514]
+Cc1ccc2ncn(-c3cncc(Br)c3)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Brc1cncc(Br)c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Brc1cncc(Br)c1', 'Cc1ccc2[nH]cnc2c1', 'Brc1cncc(I)c1']; ['Fc1cncc(Br)c1', 'Cc1ccc2nc[nH]c2c1', 'Fc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Cc1ccc2[nH]cnc2c1', 'OB(O)c1cncc(Br)c1', 'Cc1ccc2nc[nH]c2c1']; [0.9997885227203369, 0.9991393089294434, 0.9990650415420532, 0.9986331462860107, 0.998054027557373, 0.9964857697486877, 0.995261549949646]
+CS(=O)(=O)c1cccc(-c2cncc(Br)c2)c1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'Brc1cncc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', None]; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Cl)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Clc1cncc(Br)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1ccccc1', None]; [0.9999988675117493, 0.9999935626983643, 0.9999922513961792, 0.9999855756759644, 0.9999676942825317, 0.9999460577964783, 0.9998536705970764, 0.9996321201324463, 0.9995734691619873, 0.9994975924491882, 0.9453594088554382, 0.8990791440010071, 0]
+COc1ccc2c(CCc3ccc(F)cc3F)ncnc2c1; [None]; [None]; [0]
+COc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'COc1ccc(I)cc1', 'Brc1cncc(I)c1', 'Br[Zn]c1cncc(Br)c1', 'COc1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'COc1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'Brc1cncc(Br)c1', 'COc1ccc([Mg]Br)cc1', 'Brc1cncc(Br)c1', 'COc1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'COc1ccc(Cl)cc1', 'Brc1cncc(Br)c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(I)cc1', 'Clc1cncc(Br)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(Cl)cc1', 'OB(O)c1cncc(Br)c1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'Clc1cncc(Br)c1', 'COc1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'COc1ccc(I)cc1', 'Clc1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(OC)cc1', 'OB(O)c1cncc(Br)c1', 'COc1ccc([Mg]Br)cc1', 'COc1ccc([Si](OC)(OC)OC)cc1', 'OB(O)c1cncc(Br)c1', 'COc1ccc(Br)cc1']; [0.9999983310699463, 0.9999793767929077, 0.9999772906303406, 0.9999748468399048, 0.9999227523803711, 0.9997923374176025, 0.999742865562439, 0.9990886449813843, 0.9987955689430237, 0.9985601902008057, 0.9981966018676758, 0.9977169036865234, 0.995837390422821, 0.9929331541061401, 0.9928934574127197, 0.9901077151298523, 0.9871910810470581, 0.9870092272758484, 0.9720726013183594, 0.966454029083252, 0.8353307843208313]
+Brc1cncc(-c2nc3ccccc3[nH]2)c1; ['Nc1ccccc1N', 'Nc1ccccc1[N+](=O)[O-]', 'CCOC(=O)c1cncc(Br)c1', 'Nc1ccccc1N']; ['O=Cc1cncc(Br)c1', 'O=Cc1cncc(Br)c1', 'Nc1ccccc1N', 'O=C(O)c1cncc(Br)c1']; [0.9999422430992126, 0.9998664855957031, 0.9997515678405762, 0.9990278482437134]
+Oc1cccc(-c2cncc(Br)c2)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'Br[Zn]c1cncc(Br)c1', 'Brc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1']; ['Oc1cccc(I)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1']; [0.9999245405197144, 0.9997329711914062, 0.9992875456809998, 0.9984660148620605, 0.9976158142089844, 0.9973304867744446, 0.9971465468406677, 0.9835879802703857, 0.9725032448768616, 0.9516987800598145]
+N#Cc1ccc(O)c(-c2cncc(Br)c2)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'N#Cc1ccc(O)c(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'N#Cc1ccc(O)c(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Br[Zn]c1cncc(Br)c1', 'N#Cc1ccc(O)c(Cl)c1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['N#Cc1ccc(O)c(I)c1', 'OB(O)c1cncc(Br)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'OB(O)c1cncc(Br)c1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(I)c1', 'OB(O)c1cncc(Br)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Br)c1']; [0.9999750852584839, 0.9998328685760498, 0.9997309446334839, 0.9977879524230957, 0.9968339204788208, 0.9962150454521179, 0.9955087900161743, 0.9660801887512207, 0.9613692760467529, 0.915142297744751, 0.8639001846313477]
+O=C(Nc1cccc(-c2cncc(Br)c2)c1)C1CC1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'O=C(Nc1cccc(Br)c1)C1CC1', 'Clc1cccc(-c2cncc(Br)c2)c1']; ['O=C(Nc1cccc(Br)c1)C1CC1', 'OB(O)c1cncc(Br)c1', 'NC(=O)C1CC1']; [0.9999381899833679, 0.9975084066390991, 0.9688683748245239]
+Cc1cc(Nc2cncc(Br)c2)sn1; ['Cc1cc(N)sn1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1']; ['Clc1cncc(Br)c1', 'Cc1cc(N)sn1', 'Cc1cc(N)sn1']; [0.9998947381973267, 0.9993093013763428, 0.9966859817504883]
+Brc1cncc(-c2ccc(N3CCOCC3)cc2)c1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1cncc(Br)c1', 'Clc1ccc(N2CCOCC2)cc1', 'Brc1cncc(Br)c1', 'Brc1ccc(N2CCOCC2)cc1', 'C1COCCN1', 'Brc1cncc(-c2ccccc2)c1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Clc1cncc(Br)c1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'Clc1ccc(N2CCOCC2)cc1', 'Brc1cncc(I)c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1cncc(Br)c1', 'Ic1ccc(N2CCOCC2)cc1', 'OB(O)c1cncc(Br)c1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1cncc(Br)c1', 'Fc1ccc(-c2cncc(Br)c2)cc1', 'O=C(ON1CCOCC1)c1ccccc1']; [0.9999997615814209, 0.9999967813491821, 0.9999946355819702, 0.9999942779541016, 0.9999558925628662, 0.9999410510063171, 0.9998970031738281, 0.999891996383667, 0.9997199773788452, 0.9997167587280273, 0.9996758699417114, 0.9993066191673279, 0.9991236925125122, 0.9984375834465027, 0.9955071210861206, 0.9942052364349365, 0.9897109866142273, 0.9866378307342529]
+Brc1cncc(Nc2ncccn2)c1; ['Fc1ncccn1', 'Clc1ncccn1', 'Ic1ncccn1', 'Brc1cncc(I)c1', 'Brc1ncccn1', 'CSc1ncccn1', 'CS(=O)(=O)c1ncccn1', 'CS(=O)c1ncccn1', 'Fc1cncc(Br)c1', 'CS(=O)(=O)c1ncccn1', 'Brc1cncc(Br)c1']; ['Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1ncccn1', 'Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1ncccn1', 'O=CNc1cncc(Br)c1', 'Nc1ncccn1']; [0.999975323677063, 0.9999632835388184, 0.9998987913131714, 0.9996155500411987, 0.99959397315979, 0.9993277788162231, 0.9992420673370361, 0.998248815536499, 0.9977866411209106, 0.995890736579895, 0.9937931299209595]
 N#Cc1cccc(Cn2cc(-c3cncc(Br)c3)cn2)c1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3cncc(Br)c3)cc2C1; [None]; [None]; [0]
-CC(C)c1cc(-c2cncc(Br)c2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3cncc(Br)c3)c2)CC1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cncc(Br)c2)cc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C']; ['O=C([O-])c1ccc(Cl)cc1']; [0.9834450483322144]
+O=C(Nc1ccccc1)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Clc1cncc(Br)c1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; [1.0, 0.9999985694885254, 0.9999977350234985, 0.9999953508377075, 0.9999757409095764, 0.9997549057006836, 0.9997146129608154, 0.9997121691703796, 0.9986863136291504]
+NC(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'NC(=O)c1ccc(I)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Br[Zn]c1cncc(Br)c1', 'NC(=O)c1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'NC(=O)c1ccc(Cl)cc1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(I)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'Clc1cncc(Br)c1', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(Br)cc1', 'OB(O)c1cncc(Br)c1', 'NC(=O)c1ccc(Cl)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1', 'OB(O)c1cncc(Br)c1', 'NC(=O)c1ccc(I)cc1', 'OB(O)c1cncc(Br)c1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(Cl)cc1']; [0.9999997019767761, 0.9999963045120239, 0.9999939799308777, 0.9999909400939941, 0.9999899864196777, 0.9999231100082397, 0.9998723864555359, 0.9997580051422119, 0.999711275100708, 0.9996856451034546, 0.9988956451416016, 0.998511791229248, 0.9962694644927979, 0.9925066232681274, 0.9251235127449036, 0.833045482635498]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cncc(Br)c3)cc2)CC1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC(=O)NCc1ccc(Br)cc1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.9999990463256836, 0.9999855756759644, 0.999904990196228, 0.9998937249183655, 0.9986826181411743, 0.998405933380127, 0.9918455481529236]
+Brc1cncc(-c2nccc3ccccc23)c1; ['Brc1nccc2ccccc12', 'Ic1nccc2ccccc12', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1nccc2ccccc12', 'Brc1cncc(Br)c1', 'Clc1nccc2ccccc12', 'OB(O)c1cncc(Br)c1']; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'Clc1nccc2ccccc12', 'OB(O)c1cncc(Br)c1', 'OB(O)c1nccc2ccccc12', 'OB(O)c1cncc(Br)c1', 'c1ccc2cnccc2c1']; [0.999782919883728, 0.9997778534889221, 0.9997668862342834, 0.9982481598854065, 0.9933586120605469, 0.9912135601043701, 0.8119591474533081]
+O=C(c1ccc(-c2cncc(Br)c2)cc1)N1CCOCC1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(Cl)cc1)N1CCOCC1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9999997615814209, 0.999996542930603, 0.9999936819076538, 0.9999902248382568, 0.9999877214431763, 0.9999647736549377, 0.9998549222946167, 0.9995442628860474, 0.9993366003036499, 0.9991873502731323, 0.985100269317627, 0.9583092927932739]
+Brc1cncc(-c2cccc(C3CCNCC3)c2)c1; ['Brc1cccc(C2CCNCC2)c1', 'CC(C)(C)OC(=O)N1CCC(c2cccc(Br)c2)CC1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cccc(C2CCNCC2)c1', 'Clc1cccc(C2CCNCC2)c1', 'Brc1cccc(C2CCNCC2)c1']; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'Clc1cccc(C2CCNCC2)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Brc1cncc(Br)c1']; [0.9999899864196777, 0.9999895691871643, 0.9999377727508545, 0.9878888130187988, 0.9545447826385498, 0.8840329647064209]
+OCCOc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'OB(O)c1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Fc1ccc(-c2cncc(Br)c2)cc1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(I)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(Br)cc1', 'OCCOc1ccc(I)cc1', 'OCCO', 'OCCOc1ccc(Br)cc1']; [0.9999998211860657, 0.999996542930603, 0.9999929070472717, 0.9999780058860779, 0.9999324679374695, 0.9997350573539734, 0.9996944665908813, 0.9996393918991089, 0.9995275139808655, 0.9981588125228882, 0.9975831508636475, 0.9953694343566895, 0.948522686958313]
+Brc1cncc(Nc2ccncn2)c1; ['Nc1ccncn1', 'Ic1ccncn1', 'Clc1ccncn1', 'Brc1cncc(I)c1', 'Fc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Fc1ccncn1', 'Brc1ccncn1', 'Brc1cncc(Br)c1']; ['OB(O)c1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1ccncn1', 'Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1ccncn1']; [0.9999414682388306, 0.9999215006828308, 0.9998923540115356, 0.9996984004974365, 0.9996135234832764, 0.9991323947906494, 0.999050498008728, 0.9985376596450806, 0.9975560903549194]
+O=C(c1ccc(-c2cncc(Br)c2)nc1)N1CCOCC1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'O=C(c1ccc(Cl)nc1)N1CCOCC1', 'Brc1cncc(Br)c1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1', 'OB(O)c1cncc(Br)c1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999704360961914, 0.9999006390571594, 0.998479962348938]
+CNS(=O)(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1']; ['CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'Clc1cncc(Br)c1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.999959409236908, 0.9999110698699951, 0.9998258948326111, 0.999029278755188, 0.997597336769104, 0.9897449016571045, 0.9009350538253784]
+C[C@@H](O)COc1ccc(-c2cncc(Br)c2)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cncc(Br)c2)cc1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'FC(F)(F)c1ccc(I)cc1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Br[Zn]c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'FC(F)(F)c1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'O=S(=O)(Oc1ccc(C(F)(F)F)cc1)C(F)(F)F', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'FC(F)(F)c1ccc(Cl)cc1', 'Brc1cncc(Br)c1', None]; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)c1ccc(I)cc1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'OB(O)c1cncc(Br)c1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1cncc(Br)c1', 'FC(F)(F)c1ccc(I)cc1', 'OB(O)c1cncc(Br)c1', 'FC(F)(F)c1ccc([Mg]Br)cc1', 'FC(F)(F)c1ccc([Mg]Br)cc1', 'OB(O)c1cncc(Br)c1', 'FC(F)(F)c1ccc(Br)cc1', None]; [0.9999998807907104, 0.9999988675117493, 0.9999972581863403, 0.9999955892562866, 0.9999878406524658, 0.999982476234436, 0.9999493360519409, 0.9999241828918457, 0.9998663663864136, 0.9998134970664978, 0.999792218208313, 0.9997185468673706, 0.9996234774589539, 0.9994711875915527, 0.9992771148681641, 0.9988164901733398, 0.9977940320968628, 0.9960307478904724, 0]
+CN(C)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cncc(I)c1', 'CN(C)c1ccc(I)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Br[Zn]c1cncc(Br)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CN(C)c1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'CN(C)c1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'CN(C)c1ccc([Mg]Br)cc1', 'CN(C)c1ccc(Cl)cc1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'CN(C)c1ccccc1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cncc(Br)c1', 'CN(C)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'Clc1cncc(Br)c1', 'CN(C)c1ccc(I)cc1', 'OB(O)c1cncc(Br)c1', 'CN(C)c1ccc([Mg]Br)cc1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CN(C)c1ccccc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccccc1', 'Clc1cncc(Br)c1']; [0.9999996423721313, 0.9999974966049194, 0.9999933242797852, 0.9999912977218628, 0.9999849796295166, 0.9999343156814575, 0.9999256730079651, 0.9999210238456726, 0.9998774528503418, 0.9997636079788208, 0.9996190071105957, 0.9995138049125671, 0.9993858337402344, 0.9982637166976929, 0.9977871179580688, 0.9970804452896118, 0.9947996139526367, 0.9904003143310547, 0.9731533527374268, 0.9074618816375732, 0.8892014026641846]
+Cc1nc(C)c(-c2cncc(Br)c2)s1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Cc1nc(C)c(Br)s1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Cc1csc(C)n1']; ['Cc1nc(C)c(Br)s1', 'OB(O)c1cncc(Br)c1', 'Cc1csc(C)n1', 'Cc1csc(C)n1', 'Clc1cncc(Br)c1']; [0.9999651908874512, 0.9987715482711792, 0.9976565837860107, 0.9750055074691772, 0.9298713207244873]
+CCNS(=O)(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'CCNS(=O)(=O)c1ccc(Cl)cc1']; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1', 'Clc1cncc(Br)c1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.999984622001648, 0.9999257922172546, 0.9998396635055542, 0.9985073208808899, 0.9977931380271912, 0.9896948933601379]
+CN(C)S(=O)(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cncc(Br)c1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'OB(O)c1cncc(Br)c1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccccc1']; [0.9999971389770508, 0.9999961853027344, 0.999991774559021, 0.9999786615371704, 0.9999661445617676, 0.9999387860298157, 0.9999173879623413, 0.9996497631072998, 0.9980248212814331, 0.9974432587623596, 0.9964630603790283, 0.9608713984489441, 0.8931121826171875]
+O=S1(=O)Cc2ccc(-c3cncc(Br)c3)cc2C1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Brc1cncc(Br)c1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'OB(O)c1cncc(Br)c1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999899864196777, 0.9995251893997192, 0.973994255065918]
+CS(=O)(=O)N1CCC(c2cncc(Br)c2)CC1; [None]; [None]; [0]
+CC(C)c1cc(-c2cncc(Br)c2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1', 'CC(C)c1cc(Cl)nc(N)n1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'CC(C)c1cc(Cl)nc(N)n1']; [0.9999979138374329, 0.9999336004257202, 0.9993568658828735]
+CC(=O)N1CCCN(c2cccc(-c3cncc(Br)c3)c2)CC1; ['CC(=O)N1CCCNCC1']; ['Clc1cccc(-c2cncc(Br)c2)c1']; [0.9997777938842773]
+Brc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1ccc(I)cc1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1ccc(Br)cc1', 'Brc1ccc(I)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Br[Zn]c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'O=S(=O)(Oc1ccc(Br)cc1)C(F)(F)F', 'Brc1ccc(I)cc1', 'Br[Mg]c1ccc(Br)cc1', 'Br[Mg]c1ccc(Br)cc1', 'Brc1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'Brc1ccc(Br)cc1', 'Clc1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)COB(c2ccc(Br)cc2)OC1', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Clc1cncc(Br)c1', 'OB(O)c1ccc(Br)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'Clc1ccc(Br)cc1', 'Brc1ccc(I)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'CO[Si](OC)(OC)c1ccc(Br)cc1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.9999989867210388, 0.9999926090240479, 0.9999849796295166, 0.9999794960021973, 0.9999741315841675, 0.9999153017997742, 0.9996293187141418, 0.9994920492172241, 0.9994587898254395, 0.9988112449645996, 0.9982771277427673, 0.997776448726654, 0.996924877166748, 0.9926608800888062, 0.9917992949485779, 0.9902781248092651, 0.9855437278747559, 0.9757586717605591, 0.9726982116699219, 0.931431770324707]
+CCN(CC)C(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cncc(I)c1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Brc1cncc(Br)c1']; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'Clc1cncc(Br)c1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Clc1cncc(Br)c1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; [1.0, 0.9999995827674866, 0.9999995231628418, 0.9999984502792358, 0.9999979734420776, 0.9999938011169434, 0.9999802112579346, 0.9998366832733154, 0.9998267292976379, 0.9998006224632263, 0.9883769154548645]
+Brc1cncc(-c2ccn3nccc3n2)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Ic1ccn2nccc2n1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1ccn2nccc2n1', 'Clc1ccn2nccc2n1', 'Brc1ccn2nccc2n1', 'OB(O)c1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1ccn2nccc2n1', 'Brc1cncc(Br)c1']; ['Ic1ccn2nccc2n1', 'OB(O)c1cncc(Br)c1', 'Clc1ccn2nccc2n1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'c1cnc2ccnn2c1', 'Clc1ccn2nccc2n1', 'Brc1cncc(Br)c1', 'c1cnc2ccnn2c1']; [1.0, 0.9999997615814209, 0.9999990463256836, 0.9999943971633911, 0.999991774559021, 0.9999160766601562, 0.9999047517776489, 0.9995920062065125, 0.9968829154968262, 0.9899319410324097]
+CNS(=O)(=O)c1ccc(-c2cncc(Br)c2)c(C)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'Brc1cncc(I)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'Brc1cncc(Br)c1']; ['CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'OB(O)c1cncc(Br)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'Clc1cncc(Br)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; [0.9999421238899231, 0.999363899230957, 0.9977458119392395, 0.9961985349655151, 0.9946672916412354, 0.9868509769439697]
+O=C(c1ccccc1)N1CC[C@H](c2cncc(Br)c2)C1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cncc(Br)c2)cc1Cl; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'Clc1cncc(Br)c1', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccccc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1']; [0.9999990463256836, 0.9999973773956299, 0.9999961853027344, 0.9999643564224243, 0.9986258745193481, 0.9882286190986633, 0.973725438117981, 0.9585902690887451, 0.8849468231201172]
+CCCOc1ccc(-c2cncc(Br)c2)nc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CCCOc1ccc(Br)nc1', 'Brc1cncc(Br)c1']; ['CCCOc1ccc(Br)nc1', 'CCCOc1ccc(Br)nc1', 'OB(O)c1cncc(Br)c1', 'CCCOc1ccc(Br)nc1']; [0.9999716281890869, 0.9999535083770752, 0.9994493126869202, 0.9975968599319458]
+COc1ccc(Cl)cc1-c1cncc(Br)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Br', 'Br[Zn]c1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'COc1ccc(Cl)cc1B(O)O', 'Brc1cncc(Br)c1', 'COc1ccc(Cl)cc1Cl', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br', 'Clc1cncc(Br)c1', 'COc1ccc(Cl)cc1I', 'OB(O)c1cncc(Br)c1', 'COc1ccc(Cl)cc1[Mg]Br', 'COc1ccc(Cl)cc1Br']; [0.9999760389328003, 0.9997661113739014, 0.9996676445007324, 0.9995663166046143, 0.9995509386062622, 0.9992230534553528, 0.9992057085037231, 0.9969744682312012, 0.9948859214782715, 0.9945383071899414, 0.9943767786026001, 0.9898220300674438, 0.9846786260604858, 0.9845137596130371, 0.9110937714576721, 0.7873576283454895]
+Brc1cncc(-c2ccccc2-n2cccn2)c1; ['Brc1ccccc1-n1cccn1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Fc1ccccc1-c1cncc(Br)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1', 'Clc1ccccc1-n1cccn1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Brc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cccnc1', 'Clc1cncc(Br)c1']; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Clc1ccccc1-n1cccn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Clc1cncc(Br)c1', 'c1cn[nH]c1', 'OB(O)c1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Brc1cncc(I)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1ccccc1-n1cccn1', 'c1ccc(-n2cccn2)cc1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'c1ccc(-n2cccn2)cc1', 'c1ccc(-n2cccn2)cc1', 'OB(O)c1ccccc1-n1cccn1', 'c1ccc(-n2cccn2)cc1']; [0.9999828338623047, 0.9999730587005615, 0.9999328851699829, 0.999931812286377, 0.9999282360076904, 0.9998987913131714, 0.9998652935028076, 0.9993569850921631, 0.9992467761039734, 0.9991541504859924, 0.9989789724349976, 0.9951742887496948, 0.9892044067382812, 0.9864445924758911, 0.9838005900382996, 0.9834986925125122, 0.7931685447692871, 0.7720949053764343, 0.7573335766792297]
+Cc1c(C(=O)[O-])cccc1-c1cncc(Br)c1; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cncc(Br)c3)[nH]c2c1; [None]; [None]; [0]
-CCCOc1ccc(-c2cncc(Br)c2)nc1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cncc(Br)c2)cc1Cl; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'COc1cc(OC)c(Br)cc1Cl', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'COc1ccc(Cl)c(OC)c1']; ['COc1cc(OC)c(Br)cc1Cl', 'COc1cc(OC)c(Br)cc1Cl', 'OB(O)c1cncc(Br)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1cc(OC)c(Br)cc1Cl', 'OB(O)c1cncc(Br)c1']; [0.9998236894607544, 0.9996699094772339, 0.9963921308517456, 0.9676387310028076, 0.9608784914016724, 0.9153257012367249]
+Brc1cncc(-c2c[nH]c3ccccc23)c1; ['Brc1c[nH]c2ccccc12', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12', 'NNc1cncc(Br)c1', 'Clc1c[nH]c2ccccc12', 'Br[Zn]c1cncc(Br)c1', 'Brc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Ic1c[nH]c2ccccc12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1cncc(Br)c1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1c[nH]c2ccccc12', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'c1ccc2[nH]ccc2c1', 'OB(O)c1cncc(Br)c1', 'Ic1c[nH]c2ccccc12', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1']; [0.9989824295043945, 0.9988716840744019, 0.9956912994384766, 0.9955718517303467, 0.9942337274551392, 0.9847946763038635, 0.9780882000923157, 0.9732667803764343, 0.9595291614532471, 0.9573276042938232, 0.9560076594352722, 0.8534221649169922, 0.8471046686172485]
+Brc1cncc(-c2ccc3c(c2)CCO3)c1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Ic1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'Brc1cncc(Br)c1', 'Brc1ccc2c(c1)CCO2', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'Brc1cccnc1', 'Brc1cncc(Br)c1', 'Brc1cccnc1']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1cncc(Br)c1', 'OB(O)c1ccc2c(c1)CCO2', 'Ic1ccc2c(c1)CCO2', 'Clc1ccc2c(c1)CCO2', 'OB(O)c1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Ic1ccc2c(c1)CCO2', 'c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2']; [0.9999996423721313, 0.9999986886978149, 0.999997615814209, 0.9999966025352478, 0.999996542930603, 0.9999884366989136, 0.9999771118164062, 0.999969482421875, 0.9999465942382812, 0.999884843826294, 0.999435305595398, 0.9982126951217651, 0.996571958065033, 0.9628913402557373, 0.7811756134033203, 0.7666598558425903]
+CC(=O)Nc1cccc(-c2cncc(Br)c2)c1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.9999810457229614, 0.9999510645866394, 0.9998782277107239, 0.9997472763061523, 0.999480128288269, 0.9838298559188843, 0.9830036759376526, 0.9788366556167603, 0.9629921913146973, 0.9589293003082275]
+Brc1cncc(-c2cccc3c2OCO3)c1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cccc2c1OCO2', 'Clc1cncc(Br)c1', 'Brc1cccc2c1OCO2']; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Ic1cccc2c1OCO2', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cccc2c1OCO2', 'Brc1cncc(Br)c1']; [0.9999831914901733, 0.9999508857727051, 0.9999107122421265, 0.9997168779373169, 0.9992042183876038, 0.9983954429626465, 0.9930176734924316, 0.9911869168281555, 0.9886115789413452, 0.9544070959091187, 0.9062421321868896]
+COc1cc(-c2cncc(Br)c2)ccc1O; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'COc1cc(I)ccc1O', 'Br[Zn]c1cncc(Br)c1', 'COc1cc(Br)ccc1O', 'Brc1cncc(Br)c1', 'COc1cc(B(O)O)ccc1O', 'Brc1cncc(Br)c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O', 'OB(O)c1cncc(Br)c1', 'COc1cc(I)ccc1O', 'OB(O)c1cncc(Br)c1', 'COc1cc(B(O)O)ccc1O', 'Clc1cncc(Br)c1', 'COc1cc(Br)ccc1O']; [0.9999898672103882, 0.9999866485595703, 0.9999682903289795, 0.9999342560768127, 0.9997121095657349, 0.9993845820426941, 0.9968122243881226, 0.9942591190338135, 0.9888505935668945, 0.9717661142349243, 0.9298228621482849]
+CC(C)(C)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC(C)(C)c1ccc(I)cc1', 'Brc1cncc(I)c1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc([Mg]Br)cc1', 'Brc1cncc(Br)c1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc([Mg]Br)cc1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CC(C)(C)c1ccc(Br)cc1']; [0.9999997615814209, 0.9999979138374329, 0.9999966621398926, 0.9999895095825195, 0.9999643564224243, 0.9999548196792603, 0.9998813271522522, 0.9997860193252563, 0.9996830224990845, 0.9995555877685547, 0.9993358850479126, 0.9991254806518555, 0.9976270198822021, 0.9969946146011353, 0.9956263899803162, 0.9942200779914856, 0.9664788842201233]
+Brc1cncc(-c2cc(-c3ccccc3)[nH]n2)c1; ['Brc1cncc(I)c1']; ['c1ccc(-c2ccn[nH]2)cc1']; [0.8773768544197083]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cncc(Br)c1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cncc(Br)c3)nc2c1F; [None]; [None]; [0]
+Brc1cncc(-c2cnc3ccccc3c2)c1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Brc1cnc2ccccc2c1', 'Brc1cncc(I)c1', 'Ic1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Brc1cncc(I)c1', 'NNc1cncc(Br)c1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Ic1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'F[B-](F)(F)c1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Brc1cncc(I)c1', 'OB(O)c1cncc(Br)c1', 'c1ccc2ncccc2c1', 'c1ccc2ncccc2c1']; [0.9999881982803345, 0.9999846816062927, 0.9999697208404541, 0.999943196773529, 0.9997422099113464, 0.9993652105331421, 0.9968937039375305, 0.9965015053749084, 0.9933239221572876, 0.9892826080322266, 0.9892195463180542, 0.9880472421646118, 0.9791486263275146, 0.9529767036437988, 0.8999503254890442]
+Brc1cncc(-c2scc3c2OCCO3)c1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2scc3c2OCCO3)OC1(C)C', 'CC1(C)OB(c2scc3c2OCCO3)OC1(C)C', 'c1scc2c1OCCO2']; [0.9999939203262329, 0.9999898672103882, 0.9999587535858154]
+CC(C)(C)c1ccc(-c2cncc(Br)c2)cn1; ['Brc1cncc(I)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'Brc1cncc(Br)c1', 'CC(C)(C)c1ccccn1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CC(C)(C)c1ccc(Br)cn1', 'NNc1cncc(Br)c1']; [0.9999991655349731, 0.9999904632568359, 0.999987006187439, 0.9999686479568481, 0.9999633431434631, 0.9997197389602661, 0.9988991022109985, 0.9976955652236938, 0.9942442774772644, 0.8880497217178345, 0.8232581615447998]
+Nc1nc(-c2cncc(Br)c2)cs1; ['NC(N)=S', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Nc1nc(Cl)cs1', 'Nc1nc(Br)cs1', 'CC(=O)c1cncc(Br)c1', None]; ['O=C(CBr)c1cncc(Br)c1', 'Nc1nc(Cl)cs1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'NC(N)=S', None]; [0.9999942779541016, 0.9999887943267822, 0.9999305605888367, 0.999907910823822, 0.9998658895492554, 0]
+COc1cccc(C(=O)Nc2cncc(Br)c2)c1; ['COc1cccc(C(=O)Cl)c1', 'Brc1cncc(I)c1', 'COc1cccc(C(=O)O)c1', 'Brc1cncc(Br)c1']; ['Nc1cncc(Br)c1', 'COc1cccc(C(N)=O)c1', 'Nc1cncc(Br)c1', 'COc1cccc(C(N)=O)c1']; [0.9999991655349731, 0.9999719262123108, 0.9999480247497559, 0.9975928068161011]
+Brc1cncc(-c2cc3ccccc3s2)c1; ['Brc1cc2ccccc2s1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Ic1cc2ccccc2s1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cc2ccccc2s1']; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cc3ccccc3s2)OC1(C)C', 'OB(O)c1cc2ccccc2s1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2s1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cc2ccccc2s1', 'OB(O)c1cc2ccccc2s1', 'c1ccc2sccc2c1', 'OB(O)c1cncc(Br)c1']; [0.9999878406524658, 0.9998761415481567, 0.9997379779815674, 0.9995140433311462, 0.997046947479248, 0.9960974454879761, 0.9938026666641235, 0.9909421801567078, 0.9821575880050659]
+CN(C)C(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cncc(I)c1', 'CN(C)C(=O)c1ccc(I)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cncc(Br)c1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'CN(C)C(=O)c1ccc(Br)cc1', 'Clc1cncc(Br)c1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccccc1']; [1.0, 0.9999995231628418, 0.9999986290931702, 0.9999982118606567, 0.9999974370002747, 0.9999906420707703, 0.9999855756759644, 0.9997830986976624, 0.9997589588165283, 0.9996488094329834, 0.9975048303604126, 0.951736330986023, 0.8473791480064392]
+CC1(COc2cncc(Br)c2)COC1; ['CC1(CO)COC1', 'CC1(CO)COC1', 'Brc1cncc(I)c1', 'CC1(CI)COC1', 'CC1(CCl)COC1', 'Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1', 'CC1(CBr)COC1', 'CC1(CO)COC1', 'Brc1cncc(Br)c1', 'CC1(CO)COC1']; ['Oc1cncc(Br)c1', 'Fc1cncc(Br)c1', 'CC1(CO)COC1', 'Oc1cncc(Br)c1', 'Oc1cncc(Br)c1', 'Oc1cncc(Br)c1', 'Oc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CC1(CO)COC1', 'COc1cncc(Br)c1']; [0.999794602394104, 0.9997568726539612, 0.9996905326843262, 0.999634325504303, 0.9996143579483032, 0.9992496967315674, 0.9992340803146362, 0.9991022348403931, 0.99756920337677, 0.8359656929969788]
+CSc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CSc1ccc(I)cc1', 'CSc1ccc(B(O)O)cc1', 'Brc1cncc(I)c1', 'Br[Zn]c1cncc(Br)c1', 'CSc1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'CSc1ccc(Cl)cc1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'C[S-]', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cncc(Br)c1', 'CSc1ccc(I)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CSc1ccc(Br)cc1', 'CSc1ccc(I)cc1', 'OB(O)c1cncc(Br)c1', 'CSc1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'CSc1ccc(I)cc1', 'CSc1ccc([Mg]Br)cc1', 'Fc1ccc(-c2cncc(Br)c2)cc1', 'CSc1ccccc1', 'CSc1ccc(Br)cc1']; [0.9999996423721313, 0.9999946355819702, 0.9999932050704956, 0.9999849796295166, 0.999962329864502, 0.9998874068260193, 0.9998583793640137, 0.9995774626731873, 0.9994930028915405, 0.9991739988327026, 0.9981919527053833, 0.9976012706756592, 0.9970042705535889, 0.9951575398445129, 0.9881450533866882, 0.9207686185836792, 0.8869036436080933, 0.8775734305381775]
+Cc1cc(-c2cncc(Br)c2)nc(N)n1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Cc1cc(Cl)nc(N)n1', 'Cc1ccnc(N)n1']; ['Cc1cc(Br)nc(N)n1', 'Cc1cc(Cl)nc(N)n1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.999980092048645, 0.9999799728393555, 0.9995703101158142, 0.9136481285095215]
+Clc1cccc(-n2ccc(-c3cncc(Br)c3)n2)c1; [None]; [None]; [0]
+Fc1ccc(-c2cncc(Br)c2)c(Cl)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Fc1ccc(Cl)c(Cl)c1', 'Brc1cncc(I)c1', 'Brc1cccnc1']; ['Fc1ccc(I)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Fc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc([Mg]Br)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'OB(O)c1cncc(Br)c1', 'Fc1cccc(Cl)c1', 'Fc1ccc(I)c(Cl)c1']; [0.9999760389328003, 0.9999643564224243, 0.9998563528060913, 0.9995003938674927, 0.9994804859161377, 0.9984300136566162, 0.9976288676261902, 0.9916163682937622, 0.9912526607513428, 0.9777317047119141, 0.9516556262969971, 0.9331701993942261, 0.913070797920227, 0.7980881929397583]
+CCN1CCN(Cc2ccc(-c3cncc(Br)c3)cc2)CC1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'Brc1cncc(Br)c1']; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'OB(O)c1cncc(Br)c1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; [0.9998819828033447, 0.9998679161071777, 0.9994950294494629, 0.999052882194519, 0.9455450773239136]
+Brc1cnc(-c2cncc(Br)c2)nc1; ['Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cnc(I)nc1', 'Brc1cnc(Br)nc1', 'Clc1ncc(Br)cn1', 'CSc1ncc(Br)cn1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cncnc1']; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1ncc(Br)cn1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Brc1cncnc1', 'Clc1ncc(Br)cn1', 'OB(O)c1cncc(Br)c1']; [0.999955415725708, 0.9996391534805298, 0.9995055198669434, 0.9992077350616455, 0.9977142214775085, 0.996943473815918, 0.9935026168823242, 0.9633192420005798, 0.9338192939758301, 0.9193180203437805]
+O=C1CCc2cc(-c3cncc(Br)c3)ccc2N1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'O=C1CCc2cc(I)ccc2N1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Br[Zn]c1cncc(Br)c1', 'O=C1CCc2cc(Br)ccc2N1', 'Brc1cncc(Br)c1', 'O=C1CCc2cc(Cl)ccc2N1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(I)ccc2N1', 'Clc1cncc(Br)c1', 'O=C1CCc2cc(Br)ccc2N1', 'OB(O)c1cncc(Br)c1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'OB(O)c1cncc(Br)c1', 'O=C1CCc2cc(I)ccc2N1', 'OB(O)c1cncc(Br)c1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999948740005493, 0.999958872795105, 0.999936044216156, 0.999914288520813, 0.999872088432312, 0.9989836812019348, 0.997806966304779, 0.9972802996635437, 0.9964746236801147, 0.9936439394950867, 0.981010913848877, 0.8568176031112671, 0.8306331038475037]
+COc1ccc(CNc2cncc(Br)c2)cc1; ['COc1ccc(CBr)cc1', 'COc1ccc(CO)cc1', 'COc1ccc(CCl)cc1', 'Brc1cncc(I)c1', 'COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1', 'Brc1cncc(Br)c1', 'COc1ccc(CN)cc1']; ['Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'COc1ccc(CN)cc1', 'Fc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'COc1ccc(CN)cc1', 'COc1cncc(Br)c1']; [0.9999091029167175, 0.999908447265625, 0.9999069571495056, 0.9999063611030579, 0.9994637966156006, 0.9988528490066528, 0.9962760806083679, 0.9951379299163818, 0.9816548824310303]
+COc1ccc(-c2cncc(Br)c2)cc1OC; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'COc1ccc(I)cc1OC', 'Br[Zn]c1cncc(Br)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Cl)cc1OC', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['COc1ccc(I)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Cl)cc1OC', 'OB(O)c1cncc(Br)c1', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'COc1ccc([Mg]Br)cc1OC', 'COc1ccc(Br)cc1OC']; [0.9999912977218628, 0.9999895095825195, 0.9999679327011108, 0.9998835325241089, 0.9998137950897217, 0.9997268915176392, 0.9994659423828125, 0.9976505041122437, 0.9958652257919312, 0.9944301247596741, 0.9930771589279175, 0.988987147808075, 0.987809956073761, 0.9560715556144714, 0.9196089506149292, 0.8138217329978943]
+CC(=O)N[C@@H]1CC[C@@H](c2cncc(Br)c2)CC1; [None]; [None]; [0]
+Clc1ccc(-c2cncc(Br)c2)c(Cl)c1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1ccc(I)c(Cl)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Clc1ccc(Br)c(Cl)c1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Clc1ccc(Cl)c(Cl)c1']; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Clc1ccc(I)c(Cl)c1', 'Clc1ccc(Br)c(Cl)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'Clc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1cccc(Cl)c1', 'Clc1ccc([Mg]Br)c(Cl)c1', 'OB(O)c1cncc(Br)c1']; [0.9998823404312134, 0.9997694492340088, 0.9996286630630493, 0.99912428855896, 0.9991081953048706, 0.99881911277771, 0.9955354928970337, 0.9834067225456238, 0.9805407524108887, 0.9794377684593201, 0.9651921987533569, 0.9495738744735718, 0.850195050239563]
+CCc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CCc1ccc(I)cc1', 'CCc1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'CCc1ccc(Br)cc1', 'Brc1cncc(I)c1', 'Br[Zn]c1cncc(Br)c1', 'Brc1cncc(Br)c1', 'CCc1ccc([Mg]Br)cc1', 'Brc1cncc(Br)c1', 'CCc1ccc(Cl)cc1', 'Brc1cncc(Br)c1', 'CCc1ccc(Br)cc1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(I)cc1', 'Clc1cncc(Br)c1', 'CCc1ccc(Br)cc1', 'CCc1ccc(Cl)cc1', 'CCc1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CCc1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(I)cc1', 'Clc1cncc(Br)c1', 'CCc1ccc([Mg]Br)cc1', 'OB(O)c1cncc(Br)c1', 'CCc1ccc(Br)cc1', 'Clc1cncc(Br)c1']; [0.9999980926513672, 0.9999959468841553, 0.999991238117218, 0.9999902248382568, 0.9998915195465088, 0.9997286796569824, 0.9996743202209473, 0.9993489384651184, 0.9976634383201599, 0.9974063038825989, 0.9944652318954468, 0.9931566715240479, 0.9918776750564575, 0.9912949800491333, 0.9765979647636414, 0.9724017381668091, 0.9679971933364868, 0.9295183420181274, 0.9079232215881348]
+Brc1cncc(-c2ncc3cccn3n2)c1; ['Clc1ncc2cccn2n1']; ['OB(O)c1cncc(Br)c1']; [0.9989966750144958]
+COc1cc(-c2cncc(Br)c2)ccc1N1CCOCC1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'Brc1cncc(Br)c1', 'COc1cc(Br)ccc1N1CCOCC1', 'Brc1cncc(Br)c1']; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'Clc1cncc(Br)c1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'OB(O)c1cncc(Br)c1', 'COc1cc(Br)ccc1N1CCOCC1']; [0.9999729990959167, 0.999911367893219, 0.9994344711303711, 0.9991301894187927, 0.9983103275299072, 0.9347959756851196]
+Brc1cncc(-c2cc3ccccn3n2)c1; ['Brc1cc2ccccn2n1', 'Clc1cc2ccccn2n1', 'Brc1cc2ccccn2n1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'c1ccn2nccc2c1']; [0.9999789595603943, 0.9995623826980591, 0.997372567653656, 0.8548077344894409]
+Cn1cc(-c2cncc(Br)c2)c(C(F)(F)F)n1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Cn1cc(I)c(C(F)(F)F)n1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(Cl)c(C(F)(F)F)n1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'OB(O)c1cncc(Br)c1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(Cl)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; [0.999993085861206, 0.9999881982803345, 0.9999587535858154, 0.9998945593833923, 0.9998706579208374, 0.9998641610145569, 0.9998551607131958, 0.9991669654846191, 0.9990578889846802, 0.9986404180526733, 0.9976630210876465, 0.9959366917610168, 0.9954151511192322, 0.9401512145996094, 0.9308040142059326, 0.9200196862220764]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cncc(Br)c2)cc1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2cncc(Br)c2)C1; [None]; [None]; [0]
-Nc1cc(-c2cncc(Br)c2)c2cc[nH]c2n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cncc(Br)c3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cncc(Br)c3)c2c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'COc1ccc2cccc(Br)c2c1']; ['COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(Br)c2c1', 'OB(O)c1cncc(Br)c1']; [0.9998431205749512, 0.9971463680267334, 0.9929521083831787]
+COc1cc(-c2cncc(Br)c2)ccc1Cl; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'COc1cc(I)ccc1Cl', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'COc1cc(Cl)ccc1Cl', 'Brc1cccnc1']; ['COc1cc(I)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'OB(O)c1cncc(Br)c1', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Cl)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'COc1cc([Mg]Br)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'OB(O)c1cncc(Br)c1', 'COc1cc(I)ccc1Cl']; [0.9999998807907104, 0.9999997615814209, 0.9999979138374329, 0.9999932646751404, 0.9999879598617554, 0.9999830722808838, 0.9999346733093262, 0.9998366832733154, 0.9997414350509644, 0.9994219541549683, 0.9990931749343872, 0.996068000793457, 0.9865870475769043, 0.9809786081314087, 0.8614977598190308, 0.7919420599937439]
+Oc1ccc2cccc(-c3cncc(Br)c3)c2c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Br[Zn]c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; ['Oc1ccc2cccc(I)c2c1', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Oc1ccc2cccc(Br)c2c1', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Oc1ccc2cccc(I)c2c1', 'Oc1ccc2cccc(I)c2c1', 'Oc1ccc2cccc(Br)c2c1']; [0.9999589323997498, 0.9999438524246216, 0.9998762607574463, 0.9998546838760376, 0.9993941187858582, 0.9931026697158813, 0.9708634614944458]
+Cc1nc(Nc2cncc(Br)c2)sc1C; ['Cc1nc(Cl)sc1C', 'Cc1nc(Br)sc1C', 'Brc1cncc(Br)c1']; ['Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Cc1nc(N)sc1C']; [0.9999769926071167, 0.9995947480201721, 0.9977133274078369]
+Cc1csc2c(-c3cncc(Br)c3)ncnc12; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Cc1csc2c(Cl)ncnc12']; ['Cc1csc2c(Cl)ncnc12', 'OB(O)c1cncc(Br)c1']; [0.9991098642349243, 0.998621940612793]
+Cc1cc(Nc2cncc(Br)c2)nn1C; ['Cc1cc(N)nn1C', 'Brc1cncc(I)c1', 'Cc1cc(N)nn1C', 'Brc1cncc(Br)c1', 'Cc1cc(Br)nn1C']; ['OB(O)c1cncc(Br)c1', 'Cc1cc(N)nn1C', 'Clc1cncc(Br)c1', 'Cc1cc(N)nn1C', 'Nc1cncc(Br)c1']; [0.9998999834060669, 0.9998544454574585, 0.9997534155845642, 0.9985241889953613, 0.9942737817764282]
+COc1cc(F)c(-c2cncc(Br)c2)cc1OC; ['Brc1cncc(I)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'COc1cc(F)c(B(O)O)cc1OC', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'COc1cc(F)c(Br)cc1OC', 'Brc1cncc(Br)c1']; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'Clc1cncc(Br)c1', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'OB(O)c1cncc(Br)c1', 'COc1cc(F)c(Br)cc1OC']; [0.9999822378158569, 0.9999418258666992, 0.9999412298202515, 0.9996885061264038, 0.9994157552719116, 0.9989974498748779, 0.9932760000228882, 0.976851761341095, 0.9339296817779541]
+Clc1cnc(-c2cncc(Br)c2)nc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1cnc(I)nc1', 'Clc1cnc(Cl)nc1', 'Clc1cnc(Br)nc1', 'CSc1ncc(Cl)cn1', 'Brc1cncc(I)c1']; ['Clc1cnc(Cl)nc1', 'Clc1cnc(Br)nc1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Clc1cncnc1']; [0.9999397397041321, 0.9998477697372437, 0.9997857809066772, 0.9987344741821289, 0.9985899329185486, 0.9966440200805664, 0.9907535910606384]
+OCCn1cc(-c2cncc(Br)c2)cn1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OB(O)c1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Brc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(I)cn1', 'OCCn1cc(B(O)O)cn1', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'OCCn1cc(I)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(Br)cn1']; [0.9999862909317017, 0.9999531507492065, 0.9999260306358337, 0.9996943473815918, 0.999582052230835, 0.999496340751648, 0.9994293451309204, 0.9992467164993286, 0.9978530406951904, 0.9963452816009521, 0.9950954914093018, 0.9796496629714966]
+CNC(=O)c1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'Brc1cncc(Br)c1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'Brc1cncc(-c2ccccc2)c1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cncc(Br)c1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(Cl)cc1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CNC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CNC(=O)Cl']; [0.9999997615814209, 0.9999967217445374, 0.9999966621398926, 0.9999947547912598, 0.9999760389328003, 0.9999548196792603, 0.9998414516448975, 0.9997234344482422, 0.9996433258056641, 0.9996088743209839, 0.9980931282043457, 0.9833822250366211, 0.890662431716919]
+O=C(Nc1cncc(Br)c1)c1ccco1; ['Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1', 'NC(=O)c1ccco1', 'NC(=O)c1ccco1']; [0.9999822378158569, 0.9998482465744019, 0.9962174296379089, 0.9858602285385132]
+CCNC(=O)c1ccc(-c2cncc(Br)c2)nc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc(Cl)nc1']; ['CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc(Cl)nc1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.9999833106994629, 0.9999147653579712, 0.9997400045394897, 0.998375415802002]
+Nc1cc(-c2cncc(Br)c2)c2cc[nH]c2n1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Cl)c2cc[nH]c2n1', 'Brc1cncc(Br)c1']; ['Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Cl)c2cc[nH]c2n1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Nc1cc(Br)c2cc[nH]c2n1']; [0.9999877214431763, 0.9998607039451599, 0.9997596740722656, 0.995599627494812, 0.8804182410240173]
+COc1cc(-c2cncc(Br)c2)c(OC)cc1Br; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'COc1cc(I)c(OC)cc1Br', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'COc1cc(B(O)O)c(OC)cc1Br', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'COc1cc(Br)c(OC)cc1Br', 'Brc1cncc(I)c1', 'COc1ccc(OC)c(Br)c1']; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'OB(O)c1cncc(Br)c1', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'Clc1cncc(Br)c1', 'COc1cc(Br)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'OB(O)c1cncc(Br)c1', 'COc1ccc(OC)c(Br)c1', 'Clc1cncc(Br)c1']; [0.9999850988388062, 0.9999450445175171, 0.9999381899833679, 0.998737096786499, 0.9982362985610962, 0.9968947172164917, 0.9959924221038818, 0.9939247965812683, 0.9907736778259277, 0.9393936991691589, 0.7627241611480713]
+NC(=O)c1ccc(Cc2cncc(Br)c2)cc1; ['BrCc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(CBr)cc1']; [0.9991365671157837, 0.9988745450973511]
 COc1cc(CS(C)(=O)=O)ccc1-c1cncc(Br)c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cncc(Br)c2)CC1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cncc(Br)c2)c1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(OS(=O)(=O)C(F)(F)F)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(OC)cc([Mg]Br)c1', 'Brc1cncc(Br)c1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(Br)cc(OC)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'COc1cc(OC)cc([Mg]Br)c1']; [0.9999860525131226, 0.9999806880950928, 0.9999760985374451, 0.999832272529602, 0.9997565746307373, 0.9997295141220093, 0.9996592402458191, 0.9995203018188477, 0.9989721775054932, 0.998894453048706, 0.9983289241790771, 0.9958157539367676, 0.9951443672180176, 0.9917209148406982, 0.9888169765472412, 0.8551748991012573, 0.7945595383644104]
+COc1ccc2oc(-c3cncc(Br)c3)cc2c1; ['Brc1cncc(I)c1', 'COc1ccc2oc(B(O)O)cc2c1', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['COc1ccc2oc(B(O)O)cc2c1', 'Clc1cncc(Br)c1', 'COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2occc2c1']; [0.9999141693115234, 0.9991896152496338, 0.9982694387435913, 0.975660502910614]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cncc(Br)c2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cncc(Br)c1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cncc(Br)c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cncc(Br)c2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1']; ['Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'CC(C)(C)c1ccc(C(N)=O)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1']; [0.9999984502792358, 0.9999809265136719, 0.9996556639671326, 0.9802622199058533]
+COc1ccc2c(c1)c(-c1cncc(Br)c1)cn2C; ['Brc1cncc(I)c1', 'COc1ccc2c(ccn2C)c1', 'Brc1cncc(Br)c1', 'COc1ccc2c(ccn2C)c1', 'Brc1cncc(I)c1']; ['COc1ccc2c(ccn2C)c1', 'OB(O)c1cncc(Br)c1', 'COc1ccc2c(ccn2C)c1', 'NNc1cncc(Br)c1', 'COc1ccc2c(c1)c(C(=O)O)cn2C']; [0.9994608163833618, 0.9975869655609131, 0.9945008754730225, 0.994096040725708, 0.9715843200683594]
+CCn1cc(-c2cncc(Br)c2)cn1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(Br)cn1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CCn1cc(I)cn1', 'Brc1cncc(Br)c1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1', 'OB(O)c1cncc(Br)c1', 'CCn1cc(B(O)O)cn1']; [0.999753475189209, 0.9996744394302368, 0.9995150566101074, 0.9994386434555054, 0.99830162525177, 0.9975602626800537, 0.9972310066223145, 0.9953786134719849, 0.9952065944671631]
+Brc1cncc(-c2ccc3cn[nH]c3c2)c1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Brc1cncc(I)c1', 'Ic1ccc2cn[nH]c2c1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1ccc2cn[nH]c2c1', 'Brc1cncc(Br)c1', 'Br[Zn]c1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1ccc2cn[nH]c2c1', 'Brc1cncc(Br)c1', 'Brc1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Ic1ccc2cn[nH]c2c1', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Clc1cncc(Br)c1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1cncc(Br)c1', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1', 'OB(O)c1ccc2cn[nH]c2c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'Ic1ccc2cn[nH]c2c1', 'Clc1ccc2cn[nH]c2c1', 'Brc1cncc(I)c1', 'Ic1ccc2cn[nH]c2c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Brc1cncc(Br)c1']; [0.9999994039535522, 0.9999992847442627, 0.9999961853027344, 0.9999951720237732, 0.9999932050704956, 0.9999854564666748, 0.999971866607666, 0.999958872795105, 0.9999575018882751, 0.9999158382415771, 0.9998687505722046, 0.9997817277908325, 0.9992570281028748, 0.9991626739501953, 0.998914361000061, 0.9968811869621277, 0.982653021812439]
+O=S(=O)(CCO)c1ccc(Cc2cncc(Br)c2)cc1; [None]; [None]; [0]
+Brc1cncc(-c2cc3ccccc3o2)c1; ['Brc1cncc(I)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Brc1cc2ccccc2o1', 'Brc1cncc(Br)c1']; ['OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1', 'OB(O)c1cncc(Br)c1', 'c1ccc2occc2c1']; [0.9999631643295288, 0.9993686676025391, 0.9990361928939819, 0.9989910125732422, 0.962896466255188]
+CNC(=O)c1ccc(OC)c(-c2cncc(Br)c2)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['CNC(=O)c1ccc(OC)c(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.9996622800827026, 0.9930354356765747]
+Brc1cncc(-c2ncc3sccc3n2)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1ncc2sccc2n1']; ['Clc1ncc2sccc2n1', 'OB(O)c1cncc(Br)c1']; [0.9999929666519165, 0.9997674822807312]
+CO[C@@H]1CC[C@@H](c2cncc(Br)c2)CC1; [None]; [None]; [0]
+COc1ccc2nc(-c3cncc(Br)c3)[nH]c2c1; ['COc1ccc(N)c(N)c1', 'COc1ccc(N)c(N)c1']; ['O=Cc1cncc(Br)c1', 'O=C(O)c1cncc(Br)c1']; [0.9990841746330261, 0.9863051176071167]
+CC(C)c1nn(C)cc1-c1cncc(Br)c1; ['Brc1cncc(I)c1', 'CC(C)c1nn(C)cc1I', 'CC(C)c1nn(C)cc1Br', 'Brc1cncc(Br)c1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1I', 'Brc1cncc(I)c1', 'CC(C)c1nn(C)cc1Br', 'Brc1cncc(Br)c1', 'CC(C)c1nn(C)cc1Br', 'Brc1cncc(Br)c1']; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CC(C)c1nn(C)cc1Br', 'OB(O)c1cncc(Br)c1', 'CC(C)c1nn(C)cc1I', 'Clc1cncc(Br)c1', 'CC(C)c1nn(C)cc1Br']; [0.9999696612358093, 0.9999659061431885, 0.9999014139175415, 0.9998855590820312, 0.9998105764389038, 0.9987320899963379, 0.9959229230880737, 0.9953277111053467, 0.9839655160903931, 0.9209771156311035, 0.8411527872085571]
+COc1ccc(F)c(C(=O)Nc2cncc(Br)c2)c1; ['COc1ccc(F)c(C(=O)O)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1']; ['Nc1cncc(Br)c1', 'COc1ccc(F)c(C(N)=O)c1', 'COc1ccc(F)c(C(N)=O)c1']; [0.9996078014373779, 0.9994177222251892, 0.9319945573806763]
+Cn1cc(Br)cc1-c1cncc(Br)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cncc(Br)c2)cc1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cncc(Br)c2)cc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', None, 'FC(F)(F)Oc1ccc(I)cc1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'FC(F)(F)Oc1ccc(Br)cc1', 'Brc1cncc(Br)c1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'Brc1cncc(Br)c1']; ['FC(F)(F)Oc1ccc(I)cc1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', None, 'OB(O)c1cncc(Br)c1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1cncc(Br)c1', 'FC(F)(F)Oc1ccc([Mg]Br)cc1', 'OB(O)c1cncc(Br)c1', 'FC(F)(F)Oc1ccc(Br)cc1']; [1.0, 1.0, 0.9999998211860657, 0.9999997615814209, 0.9999992251396179, 0, 0.9999977946281433, 0.9999974966049194, 0.9999947547912598, 0.9999578595161438, 0.9999189972877502, 0.9999027252197266, 0.999889612197876, 0.999616265296936, 0.999335765838623, 0.9992246627807617]
+O=C(Nc1cccc(-c2cncc(Br)c2)c1)N1CCCC1; [None]; [None]; [0]
+Brc1cncc(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
+Cn1cc(-c2cncc(Br)c2)c2ccccc21; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Cn1ccc2ccccc21', 'Brc1cncc(I)c1', 'Cn1ccc2ccccc21', 'Brc1cncc(Br)c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'OB(O)c1cncc(Br)c1', 'Cn1ccc2ccccc21', 'NNc1cncc(Br)c1', 'Cn1ccc2ccccc21']; [0.9998124241828918, 0.9994655251502991, 0.9989098310470581, 0.9962794780731201, 0.9921358227729797, 0.9414149522781372, 0.909520149230957]
+Brc1cncc(-c2ncn3c2CCCC3)c1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1']; ['c1ncn2c1CCCC2', 'c1ncn2c1CCCC2']; [0.9997946619987488, 0.9996598958969116]
+CCc1cccc(-c2cncc(Br)c2)n1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CCc1cccc(Br)n1', 'Brc1cncc(Br)c1']; ['CCc1cccc(Br)n1', 'OB(O)c1cncc(Br)c1', 'CCc1cccc(Br)n1']; [0.999976634979248, 0.9990049600601196, 0.9891282916069031]
+CN(C)c1ccc(-c2cncc(Br)c2)cn1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CN(C)c1ccc(I)cn1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(Cl)cn1', 'Brc1cncc(Br)c1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1', 'OB(O)c1cncc(Br)c1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CN(C)c1ccc(I)cn1']; [0.999998927116394, 0.9999867677688599, 0.9999825954437256, 0.9999823570251465, 0.9999287128448486, 0.9996991157531738, 0.9990203380584717, 0.9988361597061157, 0.9973506331443787, 0.9936568737030029, 0.9876013994216919, 0.986402153968811]
+CC(=O)N1CCC(n2cc(-c3cncc(Br)c3)cn2)CC1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'Clc1cncc(Br)c1']; [0.9999942779541016, 0.9998908042907715, 0.9998776912689209]
 CC(C)(O)c1ccc2cc(-c3cncc(Br)c3)[nH]c2c1; [None]; [None]; [0]
-Brc1cncc(-c2ncn3c2CCCC3)c1; [None]; [None]; [0]
+O=C(Nc1cncc(Br)c1)c1cccc(OC(F)(F)F)c1; ['Nc1cncc(Br)c1', 'Nc1cncc(Br)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1']; [0.9999998807907104, 0.9999910593032837]
+O=C1CCCN1c1cccc(-c2cncc(Br)c2)c1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Cl)c1', 'Brc1cncc(Br)c1']; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999873638153076, 0.9999635219573975, 0.999835193157196, 0.9994086027145386, 0.996740460395813, 0.8907561302185059]
+Cc1cc(-c2cncc(Br)c2)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cncc(Br)c3)ccc12; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Brc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'Cc1n[nH]c2cc(Br)ccc12', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1']; ['Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Clc1cncc(Br)c1', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'OB(O)c1cncc(Br)c1', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; [0.9999996423721313, 0.9999992847442627, 0.9999984502792358, 0.9999982118606567, 0.9999887943267822, 0.9999688267707825, 0.9999562501907349, 0.9998079538345337, 0.9997472763061523, 0.998725414276123, 0.9983261823654175, 0.9966346025466919, 0.9788875579833984]
+Cn1ncc2cc(-c3cncc(Br)c3)ccc21; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'Cn1ncc2cc(I)ccc21', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Clc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Cn1ncc2cc(Br)ccc21', 'Brc1cncc(I)c1', 'Cn1ncc2cc(Cl)ccc21', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'OB(O)c1cncc(Br)c1', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(I)ccc21', 'OB(O)c1cncc(Br)c1', 'Cn1ncc2cc(Br)ccc21', 'OB(O)c1cncc(Br)c1', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.9999994039535522, 0.9999992847442627, 0.9999989867210388, 0.9999955296516418, 0.9999932646751404, 0.999991774559021, 0.9999867677688599, 0.9999814033508301, 0.9999690055847168, 0.9999493360519409, 0.9998313784599304, 0.9996756315231323, 0.9995735287666321, 0.9989445805549622, 0.9910560250282288, 0.9858331680297852]
+OCCc1ccc(-c2cncc(Br)c2)cc1; ['Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'OB(O)c1cncc(Br)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Brc1cncc(I)c1', 'Brc1cncc(I)c1', 'Brc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'OCCc1ccc(I)cc1', 'Clc1cncc(Br)c1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Cl)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Cl)cc1']; [0.9999943375587463, 0.999984860420227, 0.999972939491272, 0.9999411106109619, 0.9998459815979004, 0.9996135234832764, 0.9982168674468994, 0.9978325366973877, 0.9967238903045654, 0.9932666420936584, 0.9875617027282715, 0.9837791919708252, 0.9815775156021118, 0.9576553702354431, 0.824160635471344]
 Cn1nc(Cl)c2cc(-c3cncc(Br)c3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cncc(Br)c3)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1cncc(Br)c1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cncc(Br)c3)cc2)n1C; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cncc(Br)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cncc(Br)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['COc1cc(S(C)(=O)=O)ccc1Br', 'OB(O)c1cncc(Br)c1']; [0.9999355673789978, 0.9948442578315735]
 COc1cc(-c2cnn(C)c2)ccc1-c1cncc(Br)c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cncc(Br)c1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3cncc(Br)c3)cc2)n1C; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cncc(Br)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cncc(Br)c2)c(Cl)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cncc(Br)c2)c(OC)c1; ['Brc1cncc(I)c1', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(Br)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(Br)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Clc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1']; [0.9999834895133972, 0.9998557567596436, 0.9997079968452454, 0.999692440032959, 0.9924846291542053]
+CCNC(=O)c1ccc(-c2cncc(Br)c2)cc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'Brc1cncc(I)c1', 'CCNC(=O)c1ccc(I)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'Brc1cncc(Br)c1', 'CCNC(=O)c1ccc(Br)cc1']; ['CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1', 'Clc1cncc(Br)c1', 'CCNC(=O)c1ccc(B(O)O)cc1', 'OB(O)c1cncc(Br)c1']; [0.9999594688415527, 0.9999566078186035, 0.9997687935829163, 0.9997621178627014, 0.999261200428009, 0.9963225722312927]
+Cc1cc(Nc2cncc(Br)c2)ncc1F; ['Cc1cc(Cl)ncc1F', 'Brc1cncc(I)c1', 'Cc1cc(Br)ncc1F', 'Cc1cc(N)ncc1F', 'Brc1cncc(Br)c1', 'Cc1cc(N)ncc1F']; ['Nc1cncc(Br)c1', 'Cc1cc(N)ncc1F', 'Nc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Cc1cc(N)ncc1F', 'Fc1cncc(Br)c1']; [0.9998656511306763, 0.9978024959564209, 0.9938005208969116, 0.9775253534317017, 0.8851744532585144, 0.8768196105957031]
+Fc1ccc(Nc2cncc(Br)c2)nc1; ['Fc1ccc(I)nc1', 'Fc1ccc(Cl)nc1', 'Fc1ccc(Br)nc1', 'Nc1ccc(F)cn1', 'Clc1cncc(Br)c1', 'Brc1cncc(I)c1', 'Fc1ccc(F)nc1', 'Brc1cncc(Br)c1', 'Fc1cncc(Br)c1']; ['Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1cncc(Br)c1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1']; [0.9999299645423889, 0.999927282333374, 0.999415397644043, 0.9989560842514038, 0.9985580444335938, 0.9984114170074463, 0.9969241619110107, 0.9929388165473938, 0.9882189035415649]
+Brc1cncc(Nc2ccccn2)c1; ['Clc1ccccn1', 'Nc1cncc(Br)c1', 'Fc1ccccn1', 'Brc1ccccn1', 'Brc1cncc(I)c1', 'Fc1cncc(Br)c1', 'Clc1cncc(Br)c1', 'Brc1cncc(Br)c1']; ['Nc1cncc(Br)c1', 'O=S(=O)(Oc1ccccn1)C(F)(F)F', 'Nc1cncc(Br)c1', 'Nc1cncc(Br)c1', 'Nc1ccccn1', 'Nc1ccccn1', 'Nc1ccccn1', 'Nc1ccccn1']; [0.9999447464942932, 0.9997609257698059, 0.9988298416137695, 0.9981290698051453, 0.9979923963546753, 0.9960273504257202, 0.9937984347343445, 0.9885265827178955]
+CCNC(=O)Cc1ccc(-c2cncc(Br)c2)cc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CCNC(=O)Cc1ccc(Br)cc1', 'Brc1cncc(Br)c1']; ['CCNC(=O)Cc1ccc(Br)cc1', 'OB(O)c1cncc(Br)c1', 'CCNC(=O)Cc1ccc(Br)cc1']; [0.9999889135360718, 0.9987711906433105, 0.9594684839248657]
+CS(=O)(=O)c1ccc(Cl)c(-c2cncc(Br)c2)c1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'CS(=O)(=O)c1ccc(Cl)c(Cl)c1', 'Brc1cncc(I)c1']; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CS(=O)(=O)c1ccc(Cl)cc1']; [0.9999871253967285, 0.9963126182556152, 0.9931877851486206, 0.8644759654998779]
+CN(C)C(=O)c1ccc(-c2cncc(Br)c2)nc1; ['CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cncc(Br)c2)OC1(C)C', 'CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1', 'Brc1cncc(Br)c1']; ['CN(C)C(=O)c1ccc(Br)nc1', 'CN(C)C(=O)c1ccc(Cl)nc1', 'OB(O)c1cncc(Br)c1', 'OB(O)c1cncc(Br)c1', 'CN(C)C(=O)c1ccc(Br)nc1']; [0.999995231628418, 0.9999949932098389, 0.999419093132019, 0.9993166327476501, 0.9907799959182739]
+Cc1ccc(C(=O)NCCO)cc1-c1cncc(Br)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cncc(Br)c2)c1; [None]; [None]; [0]
+Oc1cccc(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
+Oc1cc(Cc2c[nH]c3ncccc23)ccc1Cl; ['OCc1ccc(Cl)c(O)c1', 'O=Cc1ccc(Cl)c(O)c1']; ['c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1']; [0.879482626914978, 0.7529110312461853]
 Cn1nc(-c2cncc(Br)c2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2cncc(Br)c2)ncc1F; [None]; [None]; [0]
+Clc1ccc2c(c1Cc1c[nH]c3ncccc13)OCO2; [None]; [None]; [0]
+c1cc(Cc2c[nH]c3ncccc23)c2cccnc2c1; ['BrCc1cccc2ncccc12', 'Brc1c[nH]c2ncccc12', 'BrCc1cccc2ncccc12', 'ClCc1cccc2ncccc12', 'OCc1cccc2ncccc12', 'NCc1cccc2ncccc12']; ['CC1(C)OB(c2c[nH]c3ncccc23)OC1(C)C', 'ClCc1cccc2ncccc12', 'Brc1c[nH]c2ncccc12', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1']; [0.9999423027038574, 0.9996386170387268, 0.9965934753417969, 0.9559016227722168, 0.8158203363418579, 0.8042043447494507]
+Clc1cccc(Cl)c1Cc1c[nH]c2ncccc12; ['Brc1c[nH]c2ncccc12', 'OCc1c(Cl)cccc1Cl']; ['Clc1cccc(Cl)c1CBr', 'c1cnc2[nH]ccc2c1']; [0.9998226761817932, 0.9989144802093506]
+c1ccc2c(Cc3c[nH]c4ncccc34)n[nH]c2c1; ['OCc1n[nH]c2ccccc12', 'O=Cc1n[nH]c2ccccc12']; ['c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1']; [0.9901740550994873, 0.932573676109314]
+Oc1ccc(Cc2c[nH]c3ncccc23)c(Cl)c1; [None, 'OCc1ccc(O)cc1Cl']; [None, 'c1cnc2[nH]ccc2c1']; [0, 0.8068369626998901]
+CNS(=O)(=O)c1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
+Oc1ccc(Cc2c[nH]c3ncccc23)c(F)c1; ['OCc1ccc(O)cc1F']; ['c1cnc2[nH]ccc2c1']; [0.8876998424530029]
+NC(=O)c1ccc(Cc2c[nH]c3ncccc23)c(F)c1; [None]; [None]; [0]
+COc1ccc(F)cc1Cc1c[nH]c2ncccc12; ['COc1ccc(F)cc1CO', 'COc1ccc(F)cc1CBr', 'COc1ccc(F)cc1C=O']; ['c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1']; [0.9991786479949951, 0.9698650240898132, 0.9623526930809021]
+COc1cc(F)ccc1Cc1c[nH]c2ncccc12; ['COc1cc(F)ccc1CO', 'COc1cc(F)ccc1CBr', 'COc1cc(F)ccc1C=O']; ['c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1']; [0.9991007447242737, 0.9696549773216248, 0.8494250178337097]
+COc1cc(C(N)=O)ccc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
+COc1cc(Cc2c[nH]c3ncccc23)ccc1O; ['COc1cc(CO)ccc1O', None]; ['c1cnc2[nH]ccc2c1', None]; [0.9118093252182007, 0]
+Clc1[nH]ncc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
+COC(=O)c1ccc(Cc2c[nH]c3ncccc23)o1; ['COC(=O)c1ccc(CO)o1', 'COC(=O)c1ccc(CCl)o1']; ['c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1']; [0.9910545945167542, 0.9656378030776978]
+Brc1cccc(Cc2c[nH]c3ncccc23)c1; ['OCc1cccc(Br)c1', 'BrCc1cccc(Br)c1', 'Br[Zn]Cc1cccc(Br)c1']; ['c1cnc2[nH]ccc2c1', 'Brc1c[nH]c2ncccc12', 'Brc1c[nH]c2ncccc12']; [0.9976247549057007, 0.9815188050270081, 0.9510666728019714]
+Cc1nc2c(F)cc(Cc3c[nH]c4ncccc34)cc2[nH]1; [None]; [None]; [0]
 Oc1ccc(-c2ccc(Cc3c[nH]c4ncccc34)cc2)c(O)c1; [None]; [None]; [0]
+O=C([O-])c1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
+Nc1nccc(Cc2c[nH]c3ncccc23)n1; [None]; [None]; [0]
+c1ccc2cc(Cc3c[nH]c4ncccc34)ccc2c1; ['Brc1c[nH]c2ncccc12', 'Br[Zn]Cc1ccc2ccccc2c1', 'Brc1c[nH]c2ncccc12', 'NCc1ccc2ccccc2c1', 'BrCc1ccc2ccccc2c1', 'OCc1ccc2ccccc2c1', 'ClCc1ccc2ccccc2c1', 'BrCc1ccc2ccccc2c1', 'Cc1c[nH]c2ncccc12', 'O=Cc1ccc2ccccc2c1']; ['CC1(C)OB(Cc2ccc3ccccc3c2)OC1(C)C', 'Brc1c[nH]c2ncccc12', 'ClCc1ccc2ccccc2c1', 'c1cnc2[nH]ccc2c1', 'Brc1c[nH]c2ncccc12', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'Ic1ccc2ccccc2c1', 'c1cnc2[nH]ccc2c1']; [0.9995487928390503, 0.9974976778030396, 0.9967365860939026, 0.9943903684616089, 0.9934945106506348, 0.9872413873672485, 0.9867042303085327, 0.9590757489204407, 0.8960565328598022, 0.7817174196243286]
+Oc1ccc(Cc2c[nH]c3ncccc23)c(O)c1; [None]; [None]; [0]
+Cn1cc(Cc2c[nH]c3ncccc23)c2ccccc21; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
+Oc1ccc(Cc2c[nH]c3ncccc23)cc1F; [None]; [None]; [0]
+Nc1cc(Cc2c[nH]c3ncccc23)ccn1; ['Brc1c[nH]c2ncccc12', 'Nc1cc(CO)ccn1']; ['Nc1cc(CCl)ccn1', 'c1cnc2[nH]ccc2c1']; [0.9718779921531677, 0.8396337032318115]
 c1cnc2[nH]cc(Cc3cnn4ncccc34)c2c1; [None]; [None]; [0]
+Fc1ccc(Cc2c[nH]c3ncccc23)cc1Cl; ['Brc1c[nH]c2ncccc12', 'Brc1c[nH]c2ncccc12', 'OCc1ccc(F)c(Cl)c1', 'O=Cc1ccc(F)c(Cl)c1', 'NNc1ccccn1', 'Fc1ccc(CBr)cc1Cl', 'Cc1c[nH]c2ncccc12']; ['Fc1ccc(CCl)cc1Cl', 'Fc1ccc(C[Zn]Br)cc1Cl', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'O=CCCc1ccc(F)c(Cl)c1', 'c1cnc2[nH]ccc2c1', 'Fc1ccc(I)cc1Cl']; [0.9999428391456604, 0.9983932971954346, 0.9955840110778809, 0.9923757314682007, 0.9868401288986206, 0.9822040796279907, 0.9382246732711792]
+c1cnc2[nH]cc(Cc3c[nH]c4cnccc34)c2c1; ['O=Cc1c[nH]c2ncccc12', 'OCc1c[nH]c2ncccc12']; ['c1cc2cc[nH]c2cn1', 'c1cc2cc[nH]c2cn1']; [0.9384636282920837, 0.9113452434539795]
+Clc1ccccc1OCCc1c[nH]c2ncccc12; ['ClCCc1c[nH]c2ncccc12', 'Clc1ccccc1OCCBr']; ['Oc1ccccc1Cl', 'c1cnc2[nH]ccc2c1']; [0.9855654239654541, 0.9409968256950378]
+COc1cc(Cc2c[nH]c3ncccc23)cc(OC)c1; ['Brc1c[nH]c2ncccc12', 'Brc1c[nH]c2ncccc12']; ['COc1cc(C[Zn]Br)cc(OC)c1', 'COc1cc(CBr)cc(OC)c1']; [0.969373345375061, 0.7529847621917725]
+Cc1ccc2[nH]ncc2c1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
+Oc1ccc(Cl)c(Cc2c[nH]c3ncccc23)c1; ['OCc1cc(O)ccc1Cl']; ['c1cnc2[nH]ccc2c1']; [0.8958730101585388]
+Fc1ccc(-c2nc[nH]c2Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
+COc1ccc(Cc2c[nH]c3ncccc23)cc1OC; ['Brc1c[nH]c2ncccc12', 'Brc1c[nH]c2ncccc12', 'COc1ccc(CCl)cc1OC', 'COc1ccc(CO)cc1OC', 'Brc1c[nH]c2ncccc12', None, 'COc1ccc(CCC=O)cc1OC', 'COc1ccc(CN)cc1OC', 'COc1ccc(C=O)cc1OC', 'COc1ccc(CBr)cc1OC']; ['COc1ccc(CCl)cc1OC', 'COc1ccc(C[Zn]Cl)cc1OC', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'COc1ccc(CBr)cc1OC', None, 'NNc1ccccn1', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1']; [0.9996839761734009, 0.9970540404319763, 0.9949029684066772, 0.9937089681625366, 0.9921001195907593, 0, 0.9149895906448364, 0.8987170457839966, 0.868362545967102, 0.8666491508483887]
+Cc1ccc(CO)cc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
+CCOc1cccc(Cc2c[nH]c3ncccc23)c1; ['CCOc1cccc(CO)c1', 'Brc1c[nH]c2ncccc12', 'CCOc1cccc(C=O)c1', 'CCOc1cccc(CN)c1', 'CCOc1cccc(CBr)c1', 'CCOc1cccc(I)c1']; ['c1cnc2[nH]ccc2c1', 'CCOc1cccc(CBr)c1', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'Cc1c[nH]c2ncccc12']; [0.997389554977417, 0.9955470561981201, 0.9919520616531372, 0.9808105230331421, 0.9756006002426147, 0.8949140310287476]
+Oc1ncc(Cc2c[nH]c3ncccc23)cc1Cl; [None]; [None]; [0]
+Cc1nc2ccc(Cc3c[nH]c4ncccc34)cc2[nH]1; [None]; [None]; [0]
+NC(=O)c1cc(Cc2c[nH]c3ncccc23)c[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(Cc3c[nH]c4ncccc34)ccc12; [None]; [None]; [0]
+NC(=O)Nc1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
+c1ccc2sc(Cc3c[nH]c4ncccc34)nc2c1; ['OCc1nc2ccccc2s1']; ['c1cnc2[nH]ccc2c1']; [0.9851704239845276]
+CS(=O)(=O)c1ccc(Cc2c[nH]c3ncccc23)cc1; ['CC1(C)OB(c2c[nH]c3ncccc23)OC1(C)C', 'Brc1c[nH]c2ncccc12', 'CS(=O)(=O)c1ccc(CCl)cc1', 'Brc1c[nH]c2ncccc12', 'CS(=O)(=O)c1ccc(CO)cc1', 'CS(=O)(=O)c1ccc(CBr)cc1']; ['CS(=O)(=O)c1ccc(CBr)cc1', 'CS(=O)(=O)c1ccc(CCl)cc1', 'c1cnc2[nH]ccc2c1', 'CS(=O)(=O)c1ccc(CBr)cc1', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1']; [0.9995496273040771, 0.996962308883667, 0.9879351854324341, 0.9603148698806763, 0.9144784212112427, 0.8414295315742493]
+c1cnc2[nH]cc(Cc3cnc4[nH]ccc4c3)c2c1; [None]; [None]; [0]
+Oc1cncc(Cc2c[nH]c3ncccc23)c1; ['OCc1cncc(O)c1']; ['c1cnc2[nH]ccc2c1']; [0.8579179644584656]
+O=C1Cc2cc(Cc3c[nH]c4ncccc34)ccc2N1; ['O=C1Cc2cc(CO)ccc2N1']; ['c1cnc2[nH]ccc2c1']; [0.942182183265686]
+CCc1cc(O)ccc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
+Cc1n[nH]c(Cc2c[nH]c3ncccc23)c1C; [None]; [None]; [0]
+Clc1cnccc1Cc1c[nH]c2ncccc12; ['Brc1c[nH]c2ncccc12', 'Brc1c[nH]c2ncccc12', 'OCc1ccncc1Cl', 'Clc1cnccc1CBr', 'Cc1c[nH]c2ncccc12']; ['ClCc1ccncc1Cl', 'Clc1cnccc1CBr', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'Clc1cnccc1I']; [0.9979352355003357, 0.9967905879020691, 0.9857192039489746, 0.8545519113540649, 0.7766933441162109]
+CNc1nccc(Cc2c[nH]c3ncccc23)n1; [None]; [None]; [0]
+Cc1cc(O)ccc1Cc1c[nH]c2ncccc12; [None, 'Cc1cc(O)ccc1CO']; [None, 'c1cnc2[nH]ccc2c1']; [0, 0.9713742733001709]
+FC(F)c1cc(Cc2c[nH]c3ncccc23)[nH]n1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
+c1cnc2[nH]cc(Cc3ccc4c(c3)CCN4)c2c1; [None]; [None]; [0]
+O=c1[nH]c2ccc(Cc3c[nH]c4ncccc34)cc2[nH]1; ['O=Cc1ccc2[nH]c(=O)[nH]c2c1']; ['c1cnc2[nH]ccc2c1']; [0.8456701636314392]
+Fc1cc(Br)ccc1Cc1c[nH]c2ncccc12; ['NNc1ccccn1', 'OCc1ccc(Br)cc1F', 'Fc1cc(Br)ccc1CBr', 'Brc1c[nH]c2ncccc12']; ['O=CCCc1ccc(Br)cc1F', 'c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1', 'Fc1cc(Br)ccc1C[Zn]Br']; [0.9972087144851685, 0.9916855096817017, 0.8855605721473694, 0.8039662837982178]
+CCc1sccc1Cc1c[nH]c2ncccc12; [None]; [None]; [0]
+CNc1nc(Cc2c[nH]c3ncccc23)ncc1F; [None]; [None]; [0]
 Oc1cc(Cc2c[nH]c3ncccc23)nc2ccnn12; [None]; [None]; [0]
+Oc1c(Cl)cc(Cc2c[nH]c3ncccc23)cc1Cl; [None]; [None]; [0]
 Cc1oc(Cc2c[nH]c3ncccc23)cc1C(=O)[O-]; [None]; [None]; [0]
+CNC(=O)c1ccc(Cc2c[nH]c3ncccc23)cc1; ['CNC(=O)c1ccc(CCl)cc1']; ['c1cnc2[nH]ccc2c1']; [0.9072052240371704]
+O=C(NC1CC1)c1ccc(Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
+Oc1c(F)cc(Cc2c[nH]c3ncccc23)cc1F; [None]; [None]; [0]
+Cc1cc(Cc2c[nH]c3ncccc23)cc(C)c1O; ['Cc1cc(CO)cc(C)c1O', None]; ['c1cnc2[nH]ccc2c1', None]; [0.8936097621917725, 0]
+Cc1nc2ccc(Cc3c[nH]c4ncccc34)cc2o1; ['Cc1nc2ccc(CO)cc2o1', 'Cc1nc2ccc(C=O)cc2o1']; ['c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1']; [0.9951782822608948, 0.9387123584747314]
+Fc1ccc2n[nH]c(Cc3c[nH]c4ncccc34)c2c1; [None]; [None]; [0]
+Oc1cc(Br)cc(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1Cc1c[nH]c2ncccc12; ['Cc1onc(-c2ccccc2)c1C=O', 'Cc1onc(-c2ccccc2)c1CBr']; ['c1cnc2[nH]ccc2c1', 'c1cnc2[nH]ccc2c1']; [0.9991004467010498, 0.998901903629303]
+Cc1cc(Cc2c[nH]c3ncccc23)ccc1C(N)=O; [None]; [None]; [0]
+CSc1cccc(Cc2c[nH]c3ncccc23)c1; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(Cc3c[nH]c4ncccc34)ccc12; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cccc(O)c2)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2c(Cl)ccc3c2OCO3)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc(Cl)c(O)c2)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cccc3ncccc23)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2n[nH]c3ccccc23)c1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2Cc2c[nH]c3ncccc23)cc1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(Oc2ccc(F)cc2)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc(O)cc2Cl)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cncc(C(=O)[O-])c2)c(F)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc(O)cc2F)c1; [None]; [None]; [0]
+Nc1nccc(-c2cncc(C(=O)[O-])c2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cncc(C(=O)[O-])c3)cc2[nH]1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+COc1cc(-c2cncc(C(=O)[O-])c2)ccc1O; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
 O=C([O-])c1cncc(-c2ccc(-c3ccc(O)cc3O)cc2)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cccc(Br)c2)c1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cncc(C(=O)[O-])c2)o1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
+COc1cc(CCc2cncc(C(=O)[O-])c2)ccc1O; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc(O)c(F)c2)c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cncc(C(=O)[O-])c2)c1; [None]; [None]; [0]
 O=C([O-])c1cncc(-c2cnn3ncccc23)c1; [None]; [None]; [0]
-O=C([O-])c1cncc(-c2cc(O)n3nccc3n2)c1; [None]; [None]; [0]
+Cn1cc(-c2cncc(C(=O)[O-])c2)c2ccccc21; [None]; [None]; [0]
+Nc1cc(-c2cncc(C(=O)[O-])c2)ccn1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc(F)c(Cl)c2)c1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cc(O)ccc2Cl)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(COc2ccccc2Cl)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc(O)cc2O)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cnc(O)c(Cl)c2)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cncc(C(=O)[O-])c2)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+CCOc1cccc(-c2cncc(C(=O)[O-])c2)c1; ['CCOc1cccc(B(O)O)c1']; ['O=C([O-])c1cccnc1']; [0.8214159607887268]
+COc1ccc(-c2cncc(C(=O)[O-])c2)cc1OC; [None]; [None]; [0]
+Cc1nc2ccc(-c3cncc(C(=O)[O-])c3)cc2[nH]1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cncc(C(=O)[O-])c2)c[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cncc(C(=O)[O-])c3)ccc12; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
+O=C1Cc2cc(-c3cncc(C(=O)[O-])c3)ccc2N1; [None]; [None]; [0]
+COc1cc(CCc2cncc(C(=O)[O-])c2)cc(OC)c1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cncc(O)c2)c1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+CNc1nccc(-c2cncc(C(=O)[O-])c2)n1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccncc2Cl)c1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cncc(C(=O)[O-])c3)ccc12; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+Cc1n[nH]c(-c2cncc(C(=O)[O-])c2)c1C; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cc(C(F)F)n[nH]2)c1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+CCc1sccc1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc3c(c2)CCN3)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc3[nH]c(=O)[nH]c3c2)c1; [None]; [None]; [0]
+CNc1nc(-c2cncc(C(=O)[O-])c2)ncc1F; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cc(Cl)c(O)c(Cl)c2)c1; [None]; [None]; [0]
 Cc1oc(-c2cncc(C(=O)[O-])c2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cc(O)n3nccc3n2)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc(Br)cc2F)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2[nH]nc3ccc(F)cc23)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cc(O)cc(Br)c2)c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+O=C([O-])c1cncc(Nc2ccncc2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cncc(C(=O)[O-])c2)cc1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cncc(C(=O)[O-])c3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2cncc(C(=O)[O-])c2)ccc1C(N)=O; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc(C(=O)NC3CC3)cc2)c1; [None]; [None]; [0]
 CN(c1cncc(C(=O)[O-])c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cc(F)c(O)c(F)c2)c1; [None]; [None]; [0]
+Cc1cc(-c2cncc(C(=O)[O-])c2)cc(C)c1O; [None]; [None]; [0]
+O=C([O-])c1cncc(Oc2ccc(F)cc2F)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2ccc3c(=O)[nH][nH]c3c2)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(OCc2cccc3ccccc23)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(CCc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+CSc1cccc(-c2cncc(C(=O)[O-])c2)c1; [None]; [None]; [0]
 O=C([O-])c1cncc(-c2ocnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1cncc(C(=O)[O-])c1; [None]; [None]; [0]
+O=C([O-])c1cncc(-c2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
+CCOc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+O=C([O-])c1cncc(OCc2ccc(F)cc2F)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(NCc2c(F)cccc2Cl)c1; [None]; [None]; [0]
+O=C([O-])c1cncc(CCc2ccc(F)cc2F)c1; [None]; [None]; [0]
+Nc1cc(CCc2ncc3ccccc3n2)[nH]n1; [None]; [None]; [0]
+Cc1ccc2ncn(CCc3cc(N)n[nH]3)c2c1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)n[nH]2)cc(OC)c1OC; [None]; [None]; [0]
+COc1ncccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
+Nc1cc(CCc2cnc3cccnn23)[nH]n1; [None]; [None]; [0]
+N#Cc1ccc(O)c(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
+COc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(O)c2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(N3CCOCC3)cc2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(NC(=O)C3CC3)c2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2nc3ccccc3[nH]2)[nH]n1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(CCc3cc(N)n[nH]3)cc2)CC1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(=O)[O-])cc2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2nccc3ccccc23)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCNc2ncccn2)[nH]n1; [None]; [None]; [0]
+NC(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(CCc3cc(N)n[nH]3)cn2)c1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(OCCO)cc2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(=O)Nc3ccccc3)cc2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(=O)N3CCOCC3)cc2)[nH]n1; [None]; [None]; [0]
+CC(=O)NCc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(C3CCNCC3)c2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(=O)N3CCOCC3)cn2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(F)(F)F)cc2)[nH]n1; [None]; [None]; [0]
+CN(C)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
 Nc1cc(CCc2ccc3c(c2)CS(=O)(=O)C3)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCCc2ccccc2O)[nH]n1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(CCc2cc(N)n[nH]2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(CCc2cc(N)n[nH]2)CC1; [None]; [None]; [0]
+Nc1cc(CC[C@H]2CCN(C(=O)c3ccccc3)C2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(Br)cc2)[nH]n1; [None]; [None]; [0]
 CC(C)c1cc(CCc2cc(N)n[nH]2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(CCc3cc(N)n[nH]3)c2)CC1; [None]; [None]; [0]
+Nc1cc(CCCc2cnc(N)nc2)[nH]n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
 CCCOc1ccc(CCc2cc(N)n[nH]2)nc1; [None]; [None]; [0]
+COc1ccc(CCCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Cc1c(CCc2cc(N)n[nH]2)cccc1C(=O)[O-]; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(CCc3cc(N)n[nH]3)c2)CC1; [None]; [None]; [0]
+CN(C)c1ccc(CCc2cc(N)n[nH]2)cc1Cl; [None]; [None]; [0]
+Nc1cc(CCc2ccn3nccc3n2)[nH]n1; [None]; [None]; [0]
+COc1ccc(Cl)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(CCc2cc(N)n[nH]2)c(C)c1; [None]; [None]; [0]
+Nc1cc(CCc2c[nH]c3ccccc23)[nH]n1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2ccccc2-n2cccn2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cccc(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
+COc1cc(OC)c(CCc2cc(N)n[nH]2)cc1Cl; [None]; [None]; [0]
+Nc1cc(CCc2ccc3c(c2)CCO3)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cc(-c3ccccc3)[nH]n2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cccc3c2OCO3)[nH]n1; [None]; [None]; [0]
 CC(C)c1ccc2nc(CCc3cc(N)n[nH]3)[nH]c2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)n[nH]2)ccc1O; [None]; [None]; [0]
+Nc1cc(CCc2scc3c2OCCO3)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCCc2nc3c(F)c(F)ccc3[nH]2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCCc2nc3ccc(F)c(F)c3[nH]2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cnc3ccccc3c2)[nH]n1; [None]; [None]; [0]
+CC(C)(C)c1ccc(CCc2cc(N)n[nH]2)cn1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Cc1ccc(CCc2cc(N)n[nH]2)c(=O)[nH]1; [None]; [None]; [0]
+Nc1cc(CCCc2nc3ccccc3[nH]2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2csc(N)n2)[nH]n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](CCc2cc(N)n[nH]2)CC1; [None]; [None]; [0]
+Nc1cc(CCc2ccn(-c3cccc(Cl)c3)n2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCCCCc2ccccc2)[nH]n1; [None]; [None]; [0]
+COc1cccc(C(=O)NCCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
+CSc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2cc3ccccc3s2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(F)cc2Cl)[nH]n1; [None]; [None]; [0]
+Nc1cc(CC[C@H](CO)Cc2ccccc2)[nH]n1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(CCc3cc(N)n[nH]3)cc2)CC1; [None]; [None]; [0]
+CC[C@@H](CO)CCc1cc(N)n[nH]1; [None]; [None]; [0]
+Cc1cc(CCc2cc(N)n[nH]2)nc(N)n1; [None]; [None]; [0]
+COc1ccc(CCc2cc(N)n[nH]2)cc1OC; [None]; [None]; [0]
+Nc1cc(CCc2ccc(Cl)cc2Cl)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3c(c2)CCC(=O)N3)[nH]n1; [None]; [None]; [0]
+CCc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2ncc(Br)cn2)[nH]n1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2ncc3cccn3n2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCCCCn2cncn2)[nH]n1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)n[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
+Nc1cc(CCc2cc3ccccn3n2)[nH]n1; [None]; [None]; [0]
+COc1ccc2cccc(CCc3cc(N)n[nH]3)c2c1; [None]; [None]; [0]
+CC1(C)Cc2cc(CCc3cc(N)n[nH]3)ccc2O1; [None]; [None]; [0]
+Cn1cc(CCc2cc(N)n[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)n[nH]2)ccc1Cl; [None]; [None]; [0]
+Nc1cc(CCc2cccc3ccc(O)cc23)[nH]n1; [None]; [None]; [0]
+COc1cc(F)c(CCc2cc(N)n[nH]2)cc1OC; [None]; [None]; [0]
+Nc1cc(CCc2ncc(Cl)cn2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cnn(CCO)c2)[nH]n1; [None]; [None]; [0]
+Cc1csc2c(CCc3cc(N)n[nH]3)ncnc12; [None]; [None]; [0]
 Nc1cc(CCc2cc(N)nc3[nH]ccc23)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)n[nH]2)c(OC)cc1Br; [None]; [None]; [0]
+CCNC(=O)c1ccc(CCc2cc(N)n[nH]2)nc1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)n[nH]2)cc(OC)c1; [None]; [None]; [0]
+COc1ccc(OC)c(CCCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](CCc2cc(N)n[nH]2)CC1; [None]; [None]; [0]
 Nc1cc(CCc2cccc(C(=O)Nc3cn[nH]c3)c2)[nH]n1; [None]; [None]; [0]
+CCNC(=O)N1CCC(CCc2cc(N)n[nH]2)CC1; [None]; [None]; [0]
+COc1ccc2oc(CCc3cc(N)n[nH]3)cc2c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(CCc1cc(N)n[nH]1)cn2C; [None]; [None]; [0]
+CCn1cc(CCc2cc(N)n[nH]2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
+Nc1cc(CCc2cc(-c3cccnc3)ccn2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3cn[nH]c3c2)[nH]n1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(OC(F)(F)F)cc2)[nH]n1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NCCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
+Nc1cc(CCc2cc3ccccc3o2)[nH]n1; [None]; [None]; [0]
+Cn1cc(Br)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ncc3sccc3n2)[nH]n1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(NC(=O)N3CCCC3)c2)[nH]n1; [None]; [None]; [0]
+COc1ccc2nc(CCc3cc(N)n[nH]3)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(CCc2cc(N)n[nH]2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(CCc3cc(N)n[nH]3)[nH]c2c1; [None]; [None]; [0]
+Cc1cc(CCc2cc(N)n[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(CCc3cc(N)n[nH]3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(CCc2cc(N)n[nH]2)cn1; [None]; [None]; [0]
+Cn1ncc2cc(CCc3cc(N)n[nH]3)ccc21; [None]; [None]; [0]
 Nc1cc(CCc2ncn3c2CCCC3)[nH]n1; [None]; [None]; [0]
+CCc1cccc(CCc2cc(N)n[nH]2)n1; [None]; [None]; [0]
+Cc1n[nH]c2cc(CCc3cc(N)n[nH]3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(CCc3cc(N)n[nH]3)cn2)CC1; [None]; [None]; [0]
 Nc1cc(CCNC(=O)c2cccc(OC(F)(F)F)c2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(N3CCCC3=O)c2)[nH]n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(CCc2cc(N)n[nH]2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(CCc3cc(N)n[nH]3)cc2)n1C; [None]; [None]; [0]
+Nc1cc(CCc2ccc(CCO)cc2)[nH]n1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(CCc2cc(N)n[nH]2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(CCc2cc(N)n[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2cccc3ncccc23)[nH]n1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(CCc2cc(N)n[nH]2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+C[C@@H](CCc1cc(N)n[nH]1)CS(C)(=O)=O; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2c(Cl)cccc2Cl)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
+Nc1cc(CCc2c(Cl)ccc3c2OCO3)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(Cl)c(O)c2)[nH]n1; [None]; [None]; [0]
+COc1ccc(F)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2n[nH]c3ccccc23)[nH]n1; [None]; [None]; [0]
+NC(=O)c1ccc(CCc2cc(N)n[nH]2)c(F)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(O)cc2Cl)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(O)cc2F)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccnc(N)n2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(Br)c2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3ccccc3c2)[nH]n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(CCc3cc(N)n[nH]3)cc2[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+COC(=O)c1ccc(CCc2cc(N)n[nH]2)o1; [None]; [None]; [0]
+Nc1cc(CCc2cn[nH]c2Cl)[nH]n1; [None]; [None]; [0]
 Nc1cc(CCc2ccc(-c3ccc(O)cc3O)cc2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(O)cc2O)[nH]n1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
 Nc1cc(CCc2cnn3ncccc23)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(O)c(F)c2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2c[nH]c3cnccc23)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCCOc2ccccc2Cl)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cc(N)n[nH]2)ccn1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(F)c(Cl)c2)[nH]n1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cc(O)ccc2Cl)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2[nH]cnc2-c2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
+NC(=O)c1cc(CCc2cc(N)n[nH]2)c[nH]1; [None]; [None]; [0]
+Cc1ccc(CO)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+CCOc1cccc(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
+Nc1cc(CCc2cnc(O)c(Cl)c2)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(CCc3cc(N)n[nH]3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(CCc3cc(N)n[nH]3)cc2[nH]1; [None]; [None]; [0]
+NC(=O)Nc1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(CCc2cc(N)n[nH]2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2cnc3[nH]ccc3c2)[nH]n1; [None]; [None]; [0]
+CNc1nccc(CCc2cc(N)n[nH]2)n1; [None]; [None]; [0]
+Nc1cc(CCc2nc3ccccc3s2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cncc(O)c2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3c(c2)CC(=O)N3)[nH]n1; [None]; [None]; [0]
+Cc1n[nH]c(CCc2cc(N)n[nH]2)c1C; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+CCc1cc(O)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+Cc1cc(O)ccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+CCc1sccc1CCc1cc(N)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccncc2Cl)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cc(C(F)F)n[nH]2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cc(Cl)c(O)c(Cl)c2)[nH]n1; [None]; [None]; [0]
+CNc1nc(CCc2cc(N)n[nH]2)ncc1F; [None]; [None]; [0]
 Nc1cc(CCc2cc(O)n3nccc3n2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(Br)cc2F)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3c(c2)CCN3)[nH]n1; [None]; [None]; [0]
 Cc1oc(CCc2cc(N)n[nH]2)cc1C(=O)[O-]; [None]; [None]; [0]
+Nc1cc(CCc2ccc3[nH]c(=O)[nH]c3c2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2[nH]nc3ccc(F)cc23)[nH]n1; [None]; [None]; [0]
+Cc1nc2ccc(CCc3cc(N)n[nH]3)cc2o1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(=O)NC3CC3)cc2)[nH]n1; [None]; [None]; [0]
+Cc1cc(CCc2cc(N)n[nH]2)ccc1C(N)=O; [None]; [None]; [0]
+Nc1cc(CCc2cc(F)c(O)c(F)c2)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cc(O)cc(Br)c2)[nH]n1; [None]; [None]; [0]
+Cc1cc(CCc2cc(N)n[nH]2)cc(C)c1O; [None]; [None]; [0]
+Nc1cc(CCc2ccc3c(=O)[nH][nH]c3c2)[nH]n1; [None]; [None]; [0]
+CSc1cccc(CCc2cc(N)n[nH]2)c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2cn[nH]c2-c2ccc(Cl)cc2)[nH]n1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1CCc1cc(N)n[nH]1; [None]; [None]; [0]
 Nc1cc(CCc2ocnc2-c2ccc(F)cc2)[nH]n1; [None]; [None]; [0]
+CCOc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ncc3ccccc3n2)n[nH]1; [None]; [None]; [0]
+COc1ncccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)[nH]n2)cc(OC)c1OC; [None]; [None]; [0]
+Nc1cc(CCc2cnc3cccnn23)n[nH]1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+Cc1ccc2ncn(CCc3cc(N)[nH]n3)c2c1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(O)c2)n[nH]1; [None]; [None]; [0]
+N#Cc1ccc(O)c(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(N3CCOCC3)cc2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2nc3ccccc3[nH]2)n[nH]1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(CCc3cc(N)[nH]n3)cc2)CC1; [None]; [None]; [0]
+COc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(NC(=O)C3CC3)c2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(=O)[O-])cc2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2nccc3ccccc23)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(=O)Nc3ccccc3)cc2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCNc2ncccn2)n[nH]1; [None]; [None]; [0]
+NC(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(OCCO)cc2)n[nH]1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(CCc3cc(N)[nH]n3)cn2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(C3CCNCC3)c2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(=O)N3CCOCC3)cc2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(=O)N3CCOCC3)cn2)n[nH]1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(F)(F)F)cc2)n[nH]1; [None]; [None]; [0]
 Nc1cc(CCc2ccc3c(c2)CS(=O)(=O)C3)n[nH]1; [None]; [None]; [0]
+CN(C)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(CCc2cc(N)[nH]n2)s1; [None]; [None]; [0]
+Nc1cc(CCCc2ccccc2O)n[nH]1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(CCc2cc(N)[nH]n2)CC1; [None]; [None]; [0]
+Nc1cc(CC[C@H]2CCN(C(=O)c3ccccc3)C2)n[nH]1; [None]; [None]; [0]
 CC(C)c1cc(CCc2cc(N)[nH]n2)nc(N)n1; [None]; [None]; [0]
+Nc1ncc(CCCc2cc(N)[nH]n2)cn1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(CCc3cc(N)[nH]n3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(CCc2cc(N)[nH]n2)nc1; [None]; [None]; [0]
+Cc1c(CCc2cc(N)[nH]n2)cccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1cc(CCc2ccc(Br)cc2)n[nH]1; [None]; [None]; [0]
+COc1ccc(CCCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2ccn3nccc3n2)n[nH]1; [None]; [None]; [0]
+CN(C)c1ccc(CCc2cc(N)[nH]n2)cc1Cl; [None]; [None]; [0]
+Nc1cc(CCc2ccccc2-n2cccn2)n[nH]1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(CCc2cc(N)[nH]n2)c(C)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
 CC(C)c1ccc2nc(CCc3cc(N)[nH]n3)[nH]c2c1; [None]; [None]; [0]
+Nc1cc(CCc2c[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3c(c2)CCO3)n[nH]1; [None]; [None]; [0]
+COc1cc(OC)c(CCc2cc(N)[nH]n2)cc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cccc(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cc(-c3ccccc3)[nH]n2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cccc3c2OCO3)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCCc2nc3ccc(F)c(F)c3[nH]2)n[nH]1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)[nH]n2)ccc1O; [None]; [None]; [0]
+Nc1cc(CCc2scc3c2OCCO3)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCCc2nc3c(F)c(F)ccc3[nH]2)n[nH]1; [None]; [None]; [0]
+CC(C)(C)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2cnc3ccccc3c2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2csc(N)n2)n[nH]1; [None]; [None]; [0]
+CC(C)(C)c1ccc(CCc2cc(N)[nH]n2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](CCc2cc(N)[nH]n2)CC1; [None]; [None]; [0]
+Nc1cc(CCCc2nc3ccccc3[nH]2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccn(-c3cccc(Cl)c3)n2)n[nH]1; [None]; [None]; [0]
+Cc1ccc(CCc2cc(N)[nH]n2)c(=O)[nH]1; [None]; [None]; [0]
+Nc1cc(CCCCCc2ccccc2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cc3ccccc3s2)n[nH]1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(CCc3cc(N)[nH]n3)cc2)CC1; [None]; [None]; [0]
+COc1cccc(C(=O)NCCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+CSc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+CC[C@@H](CO)CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Nc1cc(CC[C@H](CO)Cc2ccccc2)n[nH]1; [None]; [None]; [0]
+Cc1cc(CCc2cc(N)[nH]n2)nc(N)n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3c(c2)CCC(=O)N3)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ncc(Br)cn2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(F)cc2Cl)n[nH]1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+COc1ccc(CCc2cc(N)[nH]n2)cc1OC; [None]; [None]; [0]
+CCc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(Cl)cc2Cl)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCCCCn2cncn2)n[nH]1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)[nH]n2)ccc1N1CCOCC1; [None]; [None]; [0]
+Nc1cc(CCc2ncc3cccn3n2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cc3ccccn3n2)n[nH]1; [None]; [None]; [0]
+Cn1cc(CCc2cc(N)[nH]n2)c(C(F)(F)F)n1; [None]; [None]; [0]
+COc1ccc2cccc(CCc3cc(N)[nH]n3)c2c1; [None]; [None]; [0]
+CC1(C)Cc2cc(CCc3cc(N)[nH]n3)ccc2O1; [None]; [None]; [0]
+Nc1cc(CCc2cccc3ccc(O)cc23)n[nH]1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)[nH]n2)ccc1Cl; [None]; [None]; [0]
+Cc1csc2c(CCc3cc(N)[nH]n3)ncnc12; [None]; [None]; [0]
+COc1cc(F)c(CCc2cc(N)[nH]n2)cc1OC; [None]; [None]; [0]
+Nc1cc(CCc2cnn(CCO)c2)n[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2ncc(Cl)cn2)n[nH]1; [None]; [None]; [0]
+CCNC(=O)c1ccc(CCc2cc(N)[nH]n2)nc1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)[nH]n2)c(OC)cc1Br; [None]; [None]; [0]
 Nc1cc(CCc2cc(N)[nH]n2)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(OC)c(CCCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](CCc2cc(N)[nH]n2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(CCc2cc(N)[nH]n2)CC1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
 Nc1cc(CCc2cccc(C(=O)Nc3cn[nH]c3)c2)n[nH]1; [None]; [None]; [0]
 COc1ccc2c(c1)c(CCc1cc(N)[nH]n1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NCCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+COc1cc(CCc2cc(N)[nH]n2)cc(OC)c1; [None]; [None]; [0]
+COc1ccc2oc(CCc3cc(N)[nH]n3)cc2c1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3cn[nH]c3c2)n[nH]1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+CCn1cc(CCc2cc(N)[nH]n2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+Nc1cc(CCc2cc3ccccc3o2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ncc3sccc3n2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cc(-c3cccnc3)ccn2)n[nH]1; [None]; [None]; [0]
+Cn1cc(Br)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(NC(=O)N3CCCC3)c2)n[nH]1; [None]; [None]; [0]
+COc1ccc2nc(CCc3cc(N)[nH]n3)[nH]c2c1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(CCc3cc(N)[nH]n3)[nH]c2c1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(OC(F)(F)F)cc2)n[nH]1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)NCCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
 Nc1cc(CCc2ncn3c2CCCC3)n[nH]1; [None]; [None]; [0]
+CCc1cccc(CCc2cc(N)[nH]n2)n1; [None]; [None]; [0]
+Cn1cc(CCc2cc(N)[nH]n2)c2ccccc21; [None]; [None]; [0]
+Cc1cc(CCc2cc(N)[nH]n2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(CCc3cc(N)[nH]n3)ccc21; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(CCc3cc(N)[nH]n3)cn2)CC1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(CCc3cc(N)[nH]n3)cc2)n1C; [None]; [None]; [0]
+Nc1cc(CCc2cccc(N3CCCC3=O)c2)n[nH]1; [None]; [None]; [0]
+CN(C)c1ccc(CCc2cc(N)[nH]n2)cn1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(CCc3cc(N)[nH]n3)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(CCc3cc(N)[nH]n3)ccc12; [None]; [None]; [0]
+Nc1cc(CCc2ccc(CCO)cc2)n[nH]1; [None]; [None]; [0]
 Nc1cc(CCNC(=O)c2cccc(OC(F)(F)F)c2)n[nH]1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(CCc2cc(N)[nH]n2)c(Cl)c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(CCc3cc(N)[nH]n3)cc2)n1C; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1ccc(CCc2cc(N)[nH]n2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(CCc2cc(N)[nH]n2)cc1C(C)(C)O; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+C[C@@H](CCc1cc(N)[nH]n1)CS(C)(=O)=O; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(CCc2cc(N)[nH]n2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2c(Cl)ccc3c2OCO3)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2n[nH]c3ccccc23)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(Cl)c(O)c2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2c(Cl)cccc2Cl)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cccc3ncccc23)n[nH]1; [None]; [None]; [0]
+NC(=O)c1ccc(CCc2cc(N)[nH]n2)c(F)c1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(O)cc2Cl)n[nH]1; [None]; [None]; [0]
+Nc1nccc(CCc2cc(N)[nH]n2)n1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+COc1ccc(F)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(O)cc2F)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cn[nH]c2Cl)n[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(CCc3cc(N)[nH]n3)cc2[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cccc(Br)c2)n[nH]1; [None]; [None]; [0]
+COC(=O)c1ccc(CCc2cc(N)[nH]n2)o1; [None]; [None]; [0]
 Nc1cc(CCc2ccc(-c3ccc(O)cc3O)cc2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(O)c(F)c2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(O)cc2O)n[nH]1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3ccccc3c2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2c[nH]c3cnccc23)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCCOc2ccccc2Cl)n[nH]1; [None]; [None]; [0]
 Nc1cc(CCc2cnn3ncccc23)n[nH]1; [None]; [None]; [0]
-Nc1cc(CCc2cc(O)n3nccc3n2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cc(N)[nH]n2)ccn1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(F)c(Cl)c2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2[nH]cnc2-c2ccc(F)cc2)n[nH]1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Cc1ccc(CO)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+NC(=O)c1cc(CCc2cc(N)[nH]n2)c[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cc(O)ccc2Cl)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cnc(O)c(Cl)c2)n[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(CCc3cc(N)[nH]n3)cc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(CCc3cc(N)[nH]n3)ccc12; [None]; [None]; [0]
+CCOc1cccc(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2nc3ccccc3s2)n[nH]1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(CCc2cc(N)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(CCc2cnc3[nH]ccc3c2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3c(c2)CC(=O)N3)n[nH]1; [None]; [None]; [0]
+CNc1nccc(CCc2cc(N)[nH]n2)n1; [None]; [None]; [0]
+Nc1cc(CCc2cncc(O)c2)n[nH]1; [None]; [None]; [0]
+CCc1cc(O)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Cc1n[nH]c(CCc2cc(N)[nH]n2)c1C; [None]; [None]; [0]
+CCc1sccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cc(C(F)F)n[nH]2)n[nH]1; [None]; [None]; [0]
+Cc1cc(O)ccc1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+Nc1cc(CCc2cc(Cl)c(O)c(Cl)c2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccncc2Cl)n[nH]1; [None]; [None]; [0]
+CNc1nc(CCc2cc(N)[nH]n2)ncc1F; [None]; [None]; [0]
 Cc1oc(CCc2cc(N)[nH]n2)cc1C(=O)[O-]; [None]; [None]; [0]
+Nc1cc(CCc2ccc3c(c2)CCN3)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(Br)cc2F)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2ccc3[nH]c(=O)[nH]c3c2)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2[nH]nc3ccc(F)cc23)n[nH]1; [None]; [None]; [0]
+Nc1cc(CCc2cc(O)n3nccc3n2)n[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(CCc3cc(N)[nH]n3)cc2o1; [None]; [None]; [0]
+Nc1cc(CCc2ccc(C(=O)NC3CC3)cc2)n[nH]1; [None]; [None]; [0]
+Cc1cc(CCc2cc(N)[nH]n2)ccc1C(N)=O; [None]; [None]; [0]
+Nc1cc(CCc2cc(O)cc(Br)c2)n[nH]1; [None]; [None]; [0]
+Cc1cc(CCc2cc(N)[nH]n2)cc(C)c1O; [None]; [None]; [0]
+Nc1cc(CCc2ccc3c(=O)[nH][nH]c3c2)n[nH]1; [None]; [None]; [0]
+CSc1cccc(CCc2cc(N)[nH]n2)c1; [None]; [None]; [0]
+Nc1cc(CCc2cc(F)c(O)c(F)c2)n[nH]1; [None]; [None]; [0]
 Nc1cc(CCc2ocnc2-c2ccc(F)cc2)n[nH]1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1CCc1cc(N)[nH]n1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc2ncccc12; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc(O)c1; [None]; [None]; [0]
+Nc1cc(CCc2cn[nH]c2-c2ccc(Cl)cc2)n[nH]1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
+CCc1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(Cl)c(O)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1n[nH]c2ccccc12; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(O)cc1Cl; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(O)cc1F; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccnc(N)n1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(F)c2nc(C)[nH]c2c1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1ccc(-c2ccc(O)cc2O)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cn[nH]c1Cl; [None]; [None]; [0]
+COc1cc(-c2cc3nccc(O)c3cc2OC)ccc1O; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)o1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1COc1cccc(Cl)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc(Br)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(O)c(F)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(O)cc1O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1cnn2ncccc12; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccnc(N)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1COc1ccccc1Cl; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(O)ccc1Cl; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(CO)ccc1C; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1c(C)ccc2[nH]ncc12; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1[C@H](CO)c1ccccc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1CCc1ccc(Cl)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
+COc1ccc(-c2cc3nccc(O)c3cc2OC)cc1OC; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
+CCOc1cccc(-c2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2nc(C)[nH]c2c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1nc2ccccc2s1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cc4nccc(O)c4cc3OC)ccc12; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cncc(O)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)CC(=O)N2; [None]; [None]; [0]
+CNc1nccc(-c2cc3nccc(O)c3cc2OC)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1[nH]nc(C)c1C; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(O)cc1C; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(C(F)F)n[nH]1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccncc1Cl; [None]; [None]; [0]
+CCc1sccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(Cl)c(O)c(Cl)c1; [None]; [None]; [0]
+CNc1nc(-c2cc3nccc(O)c3cc2OC)ncc1F; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1cc(O)n2nccc2n1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1cc(C(=O)[O-])c(C)o1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2[nH]c(=O)[nH]c2c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(Br)cc1F; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(O)cc(Br)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(N)=O)c(C)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2nc(C)oc2c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(C)c(O)c(C)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(F)c(O)c(F)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)NC2CC2)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2c(=O)[nH][nH]c2c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc(SC)c1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1ocnc1-c1ccc(F)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1c(-c2ccccc2)noc1C; [None]; [None]; [0]
+CCOc1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1sc(C(C)(C)O)nc1C; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(N(C)C(C)=O)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccnc1OC; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(OC)c(OC)c(OC)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cnc2cccnn12; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-n1cnc2ccc(C)cc21; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(C#N)ccc1O; [None]; [None]; [0]
+COc1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1ccc(CC(=O)N2CCN(C(C)=O)CC2)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1nccc2ccccc12; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1cnn(Cc2cccc(C#N)c2)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1Nc1ncccn1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1Nc1cc(C)ns1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(OCCO)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(CNC(C)=O)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1Nc1ccncn1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(N(C)C)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1sc(C)nc1C; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1cc(C(C)C)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1cccc(N2CCCN(C(C)=O)CC2)c1; [None]; [None]; [0]
 CCCOc1ccc(-c2cc3nccc(O)c3cc2OC)nc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(Br)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccn2nccc2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)c(C)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccccc1-n1cccn1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+COc1cc(OC)c(-c2cc3nccc(O)c3cc2OC)cc1Cl; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1nc2ccc(C(C)C)cc2[nH]1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc(NC(C)=O)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc2c1OCO2; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1scc2c1OCCO2; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cnc2ccccc2c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1csc(N)n1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1OCC1(C)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc2ccccc2s1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc4nccc(O)c4cc3OC)cc2)CC1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(SC)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(C)nc(N)n1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(F)cc1Cl; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)CCC(=O)N2; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ncc(Br)cn1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
+COc1ccc(CNc2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(N2CCOCC2)c(OC)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc2ccccn2n1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1NC1CN(C(=O)C2CC2)C1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ncc2cccn2n1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
+COc1ccc2cccc(-c3cc4nccc(O)c4cc3OC)c2c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
+COc1cc(F)c(-c2cc3nccc(O)c3cc2OC)cc1OC; [None]; [None]; [0]
+COc1cc(-c2cc3nccc(O)c3cc2OC)ccc1Cl; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cnn(CCO)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ncc(Cl)cn1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ncnc2c(C)csc12; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1Nc1nc(C)c(C)s1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1Nc1cc(C)n(C)n1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)nc1; [None]; [None]; [0]
+COc1cc(-c2cc3nccc(O)c3cc2OC)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1Cc1ccc(C(N)=O)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1[C@@H]1CC[C@@H](OC)CC1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1cccc(C(=O)Nc2cn[nH]c2)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1NC(=O)c1ccco1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cc3nccc(O)c3cc2OC)CC1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc3nccc(O)c3cc1OC)cn2C; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
+COc1ccc2oc(-c3cc4nccc(O)c4cc3OC)cc2c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1NC(=O)c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
+CCn1cc(-c2cc3nccc(O)c3cc2OC)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc2ccccc2o1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ncc2sccc2n1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(Br)cn1C; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cn(C)nc1C(C)C; [None]; [None]; [0]
+COc1ccc2nc(-c3cc4nccc(O)c4cc3OC)[nH]c2c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1cc2ccc(C(C)(C)O)cc2[nH]1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1ncn2c1CCCC2; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(C)c(OCCO)c(C)c1; [None]; [None]; [0]
+CCc1cccc(-c2cc3nccc(O)c3cc2OC)n1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1ccc2c(c1)c(Cl)nn2C; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cnn(C2CCN(C(C)=O)CC2)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(N(C)C)nc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1NC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cnn(C2CCN(C(C)=O)CC2)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(CCO)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1-c1ccc(-c2cnc(C)n2C)cc1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
-COc1cc2c(O)ccnc2cc1-c1cc(C(C)(C)O)n(C)n1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(N2CCOCC2)cc1C; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(C(C)(C)O)n(C)n1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cc2nccc(O)c2cc1OC; [None]; [None]; [0]
 COc1cc2c(O)ccnc2cc1Nc1cc(C)c(F)cn1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3nccc(O)c3cc2OC)c(OC)c1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1Nc1ccc(F)cn1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1ccc(C(=O)N(C)C)cn1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1Nc1ccccn1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc3nccc(O)c3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
+CCOc1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+COc1cc2c(O)ccnc2cc1-c1cc(C(=O)NCCO)ccc1C; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cc3nccc(O)c3cc2OC)c1; [None]; [None]; [0]
+Nc1ncc(CCc2ncc3ccccc3n2)cn1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1CCc1cnc(N)nc1; [None]; [None]; [0]
+COc1ncccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(CCc2cnc(N)nc2)c1; [None]; [None]; [0]
+COc1ccc(CCc2cnc(N)nc2)cc1; ['COc1ccc(CC[Zn]Br)cc1']; ['Nc1ncc(Br)cn1']; [0.9943246841430664]
+Nc1ncc(CCc2cnc3cccnn23)cn1; [None]; [None]; [0]
+COc1cc(CCc2cnc(N)nc2)cc(OC)c1OC; [None]; [None]; [0]
+N#Cc1ccc(O)c(CCc2cnc(N)nc2)c1; [None]; [None]; [0]
+Nc1ncc(CCc2cccc(O)c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
+Cc1ccc2ncn(CCc3cnc(N)nc3)c2c1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(N3CCOCC3)cc2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2cccc(NC(=O)C3CC3)c2)cn1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(CCc3cnc(N)nc3)cc2)CC1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(C(=O)[O-])cc2)cn1; [None]; [None]; [0]
+NC(=O)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCc2nccc3ccccc23)cn1; [None]; [None]; [0]
+Nc1ncc(CCNc2ncccn2)cn1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(CCc3cnc(N)nc3)cn2)c1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(C(=O)Nc3ccccc3)cc2)cn1; [None]; [None]; [0]
+CC(=O)NCc1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCc2cccc(C3CCNCC3)c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(OCCO)cc2)cn1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(C(=O)N3CCOCC3)cc2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(C(=O)N3CCOCC3)cn2)cn1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc3c(c2)CS(=O)(=O)C3)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(C(F)(F)F)cc2)cn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCCc2ccccc2O)cn1; [None]; [None]; [0]
+Cc1nc(C)c(CCc2cnc(N)nc2)s1; [None]; [None]; [0]
+Nc1ncc(CCCc2cnc(N)nc2)cn1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(CCc2cnc(N)nc2)CC1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(Br)cc2)cn1; ['Br[Zn]CCc1ccc(Br)cc1']; ['Nc1ncc(Br)cn1']; [0.9547262787818909]
+CC(=O)N1CCCN(c2cccc(CCc3cnc(N)nc3)c2)CC1; [None]; [None]; [0]
+CC(C)c1cc(CCc2cnc(N)nc2)nc(N)n1; [None]; [None]; [0]
+Nc1ncc(CC[C@H]2CCN(C(=O)c3ccccc3)C2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccn3nccc3n2)cn1; [None]; [None]; [0]
+CCCOc1ccc(CCc2cnc(N)nc2)nc1; [None]; [None]; [0]
+Cc1c(CCc2cnc(N)nc2)cccc1C(=O)[O-]; [None]; [None]; [0]
+CN(C)c1ccc(CCc2cnc(N)nc2)cc1Cl; [None]; [None]; [0]
+COc1ccc(CCCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(CCc2cnc(N)nc2)c(C)c1; [None]; [None]; [0]
+Nc1ncc(CCc2ccccc2-n2cccn2)cn1; [None]; [None]; [0]
+COc1ccc(Cl)cc1CCc1cnc(N)nc1; [None]; [None]; [0]
+Nc1ncc(CCc2c[nH]c3ccccc23)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc3c(c2)CCO3)cn1; ['BrCCc1ccc2c(c1)CCO2']; ['Nc1ncccn1']; [0.8053158521652222]
+CC(C)c1ccc2nc(CCc3cnc(N)nc3)[nH]c2c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(CCc2cnc(N)nc2)c1; [None]; [None]; [0]
+COc1cc(OC)c(CCc2cnc(N)nc2)cc1Cl; [None]; [None]; [0]
+Nc1ncc(CCc2cc(-c3ccccc3)[nH]n2)cn1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+COc1cc(CCc2cnc(N)nc2)ccc1O; [None]; [None]; [0]
+Nc1ncc(CCc2scc3c2OCCO3)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2cccc3c2OCO3)cn1; [None]; [None]; [0]
+Nc1ncc(CCCc2nc3c(F)c(F)ccc3[nH]2)cn1; [None]; [None]; [0]
+Nc1ncc(CCCc2nc3ccc(F)c(F)c3[nH]2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2cnc3ccccc3c2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](CCc2cnc(N)nc2)CC1; [None]; [None]; [0]
+CC(C)(C)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(CCc2cnc(N)nc2)cn1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCCc2nc3ccccc3[nH]2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2csc(N)n2)cn1; [None]; [None]; [0]
+COc1cccc(C(=O)NCCc2cnc(N)nc2)c1; [None]; [None]; [0]
+Cc1ccc(CCc2cnc(N)nc2)c(=O)[nH]1; [None]; [None]; [0]
+Nc1ncc(CCCCCc2ccccc2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccn(-c3cccc(Cl)c3)n2)cn1; [None]; [None]; [0]
+CSc1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(CCc3cnc(N)nc3)cc2)CC1; [None]; [None]; [0]
+Nc1ncc(CCc2cc3ccccc3s2)cn1; [None]; [None]; [0]
+Cc1cc(CCc2cnc(N)nc2)nc(N)n1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(F)cc2Cl)cn1; ['Fc1ccc(CCBr)c(Cl)c1']; ['Nc1ncccn1']; [0.8572117686271667]
+Nc1ncc(CCc2ncc(Br)cn2)cn1; [None]; [None]; [0]
+COc1ccc(CCc2cnc(N)nc2)cc1OC; ['COc1ccc(CC[Zn]Br)cc1OC', 'COc1ccc(CC[Mg]Br)cc1OC']; ['Nc1ncc(Br)cn1', 'Nc1ncc(Br)cn1']; [0.9964881539344788, 0.7947795987129211]
+CCc1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc3c(c2)CCC(=O)N3)cn1; [None]; [None]; [0]
+Nc1ncc(CC[C@H](CO)Cc2ccccc2)cn1; [None]; [None]; [0]
+CC[C@@H](CO)CCc1cnc(N)nc1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(Cl)cc2Cl)cn1; ['Clc1ccc(CC[Mg]Br)c(Cl)c1']; ['Nc1ncc(Br)cn1']; [0.9142739772796631]
+C[C@H]1CCCN1C(=O)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCc2cc3ccccn3n2)cn1; [None]; [None]; [0]
+Nc1ncc(CCCCCn2cncn2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ncc3cccn3n2)cn1; [None]; [None]; [0]
+CC1(C)Cc2cc(CCc3cnc(N)nc3)ccc2O1; [None]; [None]; [0]
+COc1cc(CCc2cnc(N)nc2)ccc1N1CCOCC1; [None]; [None]; [0]
+Cn1cc(CCc2cnc(N)nc2)c(C(F)(F)F)n1; [None]; [None]; [0]
+COc1ccc2cccc(CCc3cnc(N)nc3)c2c1; [None]; [None]; [0]
+Nc1ncc(CCc2ncc(Cl)cn2)cn1; [None]; [None]; [0]
+COc1cc(CCc2cnc(N)nc2)ccc1Cl; [None]; [None]; [0]
+Nc1ncc(CCc2cnn(CCO)c2)cn1; [None]; [None]; [0]
+Cc1csc2c(CCc3cnc(N)nc3)ncnc12; [None]; [None]; [0]
+Nc1ncc(CCc2cccc3ccc(O)cc23)cn1; [None]; [None]; [0]
+COc1cc(F)c(CCc2cnc(N)nc2)cc1OC; [None]; [None]; [0]
+Nc1cc(CCc2cnc(N)nc2)c2cc[nH]c2n1; [None]; [None]; [0]
+CNC(=O)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+CCNC(=O)c1ccc(CCc2cnc(N)nc2)nc1; [None]; [None]; [0]
+COc1ccc(OC)c(CCCc2cnc(N)nc2)c1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+COc1cc(CCc2cnc(N)nc2)c(OC)cc1Br; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](CCc2cnc(N)nc2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(CCc2cnc(N)nc2)CC1; [None]; [None]; [0]
+COc1cc(CCc2cnc(N)nc2)cc(OC)c1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc3cn[nH]c3c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2cccc(C(=O)Nc3cn[nH]c3)c2)cn1; [None]; [None]; [0]
+COc1ccc2c(c1)c(CCc1cnc(N)nc1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(CCc3cnc(N)nc3)cc2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCc2cc(-c3cccnc3)ccn2)cn1; [None]; [None]; [0]
+CCn1cc(CCc2cnc(N)nc2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2cc3ccccc3o2)cn1; [None]; [None]; [0]
+Cn1cc(Br)cc1CCc1cnc(N)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(CCc2cnc(N)nc2)c1; [None]; [None]; [0]
+Nc1ncc(CCc2ncc3sccc3n2)cn1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1CCc1cnc(N)nc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)NCCc2cnc(N)nc2)c1; [None]; [None]; [0]
+COc1ccc2nc(CCc3cnc(N)nc3)[nH]c2c1; [None]; [None]; [0]
+Nc1ncc(CCc2cccc(NC(=O)N3CCCC3)c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(OC(F)(F)F)cc2)cn1; [None]; [None]; [0]
+Cn1cc(CCc2cnc(N)nc2)c2ccccc21; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(CCc3cnc(N)nc3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(CCc2cnc(N)nc2)n1; [None]; [None]; [0]
+Nc1ncc(CCc2ncn3c2CCCC3)cn1; [None]; [None]; [0]
+Cn1ncc2cc(CCc3cnc(N)nc3)ccc21; ['CCc1cnc(N)nc1']; ['Cn1ncc2cc(I)ccc21']; [0.9102376699447632]
+Cc1cc(CCc2cnc(N)nc2)cc(C)c1OCCO; [None]; [None]; [0]
+CN(C)c1ccc(CCc2cnc(N)nc2)cn1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(CCc3cnc(N)nc3)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(CCc3cnc(N)nc3)ccc12; [None]; [None]; [0]
+Nc1ncc(CCNC(=O)c2cccc(OC(F)(F)F)c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2cccc(N3CCCC3=O)c2)cn1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(CCc3cnc(N)nc3)cn2)CC1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(CCO)cc2)cn1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(CCc3cnc(N)nc3)cc2)n1C; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(CCc2cnc(N)nc2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(CCc2cnc(N)nc2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(CCc2cnc(N)nc2)c(OC)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(CCc2cnc(N)nc2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Cn1nc(CCc2cnc(N)nc2)cc1C(C)(C)O; [None]; [None]; [0]
+Nc1ncc(CCc2cccc3ncccc23)cn1; ['BrCc1cccc2ncccc12']; ['Cc1cnc(N)nc1']; [0.7723408937454224]
+C[C@@H](CCc1cnc(N)nc1)CS(C)(=O)=O; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1CCc1cnc(N)nc1; [None]; [None]; [0]
+Nc1ncc(CCc2c(Cl)ccc3c2OCO3)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2c(Cl)cccc2Cl)cn1; ['Cc1cnc(N)nc1']; ['ClCc1c(Cl)cccc1Cl']; [0.7931040525436401]
+CNC(=O)c1ccc(C)c(CCc2cnc(N)nc2)c1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(Cl)c(O)c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccnc(N)n2)cn1; ['Cc1ccnc(N)n1']; ['Nc1ncc(CO)cn1']; [0.7825642824172974]
+NC(=O)c1ccc(CCc2cnc(N)nc2)c(F)c1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(O)cc2Cl)cn1; [None]; [None]; [0]
+COc1cc(F)ccc1CCc1cnc(N)nc1; ['COc1cc(F)ccc1CCBr']; ['Nc1ncccn1']; [0.907440185546875]
+COc1cc(C(N)=O)ccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+Nc1ncc(CCc2cccc(Br)c2)cn1; ['Br[Zn]CCc1cccc(Br)c1']; ['Nc1ncc(Br)cn1']; [0.9533595442771912]
+COc1ccc(F)cc1CCc1cnc(N)nc1; [None]; [None]; [0]
+Cc1nc2c(F)cc(CCc3cnc(N)nc3)cc2[nH]1; [None]; [None]; [0]
+Nc1ncc(CCc2cn[nH]c2Cl)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(O)cc2F)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(-c3ccc(O)cc3O)cc2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc3ccccc3c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(O)c(F)c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(O)cc2O)cn1; [None]; [None]; [0]
+COC(=O)c1ccc(CCc2cnc(N)nc2)o1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(CCc2cnc(N)nc2)c1; [None]; [None]; [0]
+Nc1ncc(CCc2cnn3ncccc23)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2c[nH]c3cnccc23)cn1; [None]; [None]; [0]
+Nc1cc(CCc2cnc(N)nc2)ccn1; [None]; [None]; [0]
+Nc1ncc(CCCOc2ccccc2Cl)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(F)c(Cl)c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2[nH]cnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1CCc1cnc(N)nc1; [None]; [None]; [0]
+Nc1ncc(CCc2cc(O)ccc2Cl)cn1; [None]; [None]; [0]
+Cc1ccc(CO)cc1CCc1cnc(N)nc1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(CCc3cnc(N)nc3)ccc12; [None]; [None]; [0]
+Nc1ncc(CCc2cnc(O)c(Cl)c2)cn1; [None]; [None]; [0]
+NC(=O)c1cc(CCc2cnc(N)nc2)c[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(CCc3cnc(N)nc3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(CCc2cnc(N)nc2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(CCc2cnc(N)nc2)cc1; [None]; [None]; [0]
+Nc1ncc(CCc2nc3ccccc3s2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2cncc(O)c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2cnc3[nH]ccc3c2)cn1; [None]; [None]; [0]
+CNc1nccc(CCc2cnc(N)nc2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc3c(c2)CC(=O)N3)cn1; [None]; [None]; [0]
+Cc1n[nH]c(CCc2cnc(N)nc2)c1C; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1CCc1cnc(N)nc1; [None]; [None]; [0]
+Cc1cc(O)ccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+Nc1ncc(CCc2ccncc2Cl)cn1; [None]; [None]; [0]
+CCc1sccc1CCc1cnc(N)nc1; [None]; [None]; [0]
+Nc1ncc(CCc2cc(C(F)F)n[nH]2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2cc(Cl)c(O)c(Cl)c2)cn1; [None]; [None]; [0]
+CNc1nc(CCc2cnc(N)nc2)ncc1F; [None]; [None]; [0]
+Nc1ncc(CCc2ccc3c(c2)CCN3)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(Br)cc2F)cn1; [None]; [None]; [0]
+Cc1oc(CCc2cnc(N)nc2)cc1C(=O)[O-]; [None]; [None]; [0]
+Nc1ncc(CCc2cc(O)n3nccc3n2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2[nH]nc3ccc(F)cc23)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2cc(O)cc(Br)c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(C(=O)NC3CC3)cc2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc3[nH]c(=O)[nH]c3c2)cn1; [None]; [None]; [0]
+Cc1cc(CCc2cnc(N)nc2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1cc(CCc2cnc(N)nc2)cc(C)c1O; [None]; [None]; [0]
+Cc1nc2ccc(CCc3cnc(N)nc3)cc2o1; [None]; [None]; [0]
+Nc1ncc(CCc2cc(F)c(O)c(F)c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc3c(=O)[nH][nH]c3c2)cn1; [None]; [None]; [0]
+Nc1ncc(CCc2ocnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
+CSc1cccc(CCc2cnc(N)nc2)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1CCc1cnc(N)nc1; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-CCOc1ccccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+Nc1ncc(CCc2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
+CCOc1ccccc1-c1nc2cccc(O)c2[nH]1; ['CCOc1ccccc1C=O', 'CCOc1ccccc1C=O', 'CCOc1ccccc1C=O', 'CCOc1ccccc1CO', 'CCOc1ccccc1C(=O)O', 'CCOc1ccccc1C(=O)Cl']; ['Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9994453191757202, 0.9981746673583984, 0.9981708526611328, 0.9958244562149048, 0.9950230121612549, 0.9673851132392883]
 COC(C)(C)CCc1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2nc3cccc(O)c3[nH]2)[nH]1; [None]; [None]; [0]
+Oc1cccc2nc(Cc3cc(F)cc(F)c3)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'COC(=O)Cc1cc(F)cc(F)c1']; ['O=CCc1cc(F)cc(F)c1', 'O=C(Cl)Cc1cc(F)cc(F)c1', 'O=C(O)Cc1cc(F)cc(F)c1', 'Nc1cccc(O)c1N']; [0.9985374808311462, 0.9902139902114868, 0.9900147914886475, 0.850954532623291]
 CC(C)S(=O)(=O)c1ccccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1cccc2nc(Cc3cc(F)cc(F)c3)[nH]c12; [None]; [None]; [0]
+Oc1cccc2nc(-c3cccc(C(F)(F)F)c3)[nH]c12; ['Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; ['O=Cc1cccc(C(F)(F)F)c1', 'O=Cc1cccc(C(F)(F)F)c1', 'O=C(O)c1cccc(C(F)(F)F)c1', 'OCc1cccc(C(F)(F)F)c1', 'O=C(Cl)c1cccc(C(F)(F)F)c1', 'O=Cc1cccc(C(F)(F)F)c1']; [0.9964015483856201, 0.9880884885787964, 0.987311601638794, 0.9805865287780762, 0.9610805511474609, 0.9322692155838013]
+Cc1nnc(-c2ccccc2-c2nc3cccc(O)c3[nH]2)[nH]1; [None]; [None]; [0]
+CCn1cc(-c2nc3cccc(O)c3[nH]2)cn1; ['CCn1cc(C=O)cn1']; ['Nc1cccc(O)c1N']; [0.9261554479598999]
+Oc1cccc2nc(-c3ccccc3OC(F)(F)F)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N']; ['O=Cc1ccccc1OC(F)(F)F', 'O=Cc1ccccc1OC(F)(F)F', 'O=C(O)c1ccccc1OC(F)(F)F', 'OCc1ccccc1OC(F)(F)F', 'O=Cc1ccccc1OC(F)(F)F', 'O=C(Cl)c1ccccc1OC(F)(F)F']; [0.999779224395752, 0.999019980430603, 0.9983041286468506, 0.9956719279289246, 0.9936596155166626, 0.9902535676956177]
+Oc1cccc2nc(-c3ccnc4ccccc34)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Ic1ccnc2ccccc12']; ['O=C(O)c1ccnc2ccccc12', 'O=Cc1ccnc2ccccc12', 'O=Cc1ccnc2ccccc12', 'OCc1ccnc2ccccc12', 'O=Cc1ccnc2ccccc12', 'Oc1cccc2nc[nH]c12']; [0.9965283870697021, 0.9960415363311768, 0.9911143779754639, 0.9905146360397339, 0.9876881837844849, 0.9704806804656982]
+NC(=O)c1ccccc1-c1nc2cccc(O)c2[nH]1; ['NC(=O)c1ccccc1C(=O)O']; ['Nc1cccc(O)c1N']; [0.994941234588623]
+Oc1cccc2nc(-c3cnn(Cc4ccccc4)c3)[nH]c12; ['Nc1cccc(O)c1N']; ['O=Cc1cnn(Cc2ccccc2)c1']; [0.9950323104858398]
 CP(C)(=O)c1ccccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccnc4ccccc34)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3cccc(C(F)(F)F)c3)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccccc3Br)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccccc3OC(F)(F)F)[nH]c12; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1cccc2nc(-c3cnn(Cc4ccccc4)c3)[nH]c12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nc3cccc(O)c3[nH]2)c1)c1ccccc1; ['Nc1cccc(O)c1N']; ['O=C(O)c1cccc(NC(=O)c2ccccc2)c1']; [0.9987939596176147]
 Oc1cccc2nc(-c3cnc(-c4ccccc4)[nH]3)[nH]c12; [None]; [None]; [0]
-N[C@H](c1nc2cccc(O)c2[nH]1)c1ccco1; [None]; [None]; [0]
-OCCn1cc(-c2nc3cccc(O)c3[nH]2)cn1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3nc4cccc(O)c4[nH]3)cc2c1=O; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2nc3cccc(O)c3[nH]2)cs1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2nc3cccc(O)c3[nH]2)c1)c1ccccc1; [None]; [None]; [0]
-COc1cnc(-c2nc3cccc(O)c3[nH]2)nc1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+OCCn1cc(-c2nc3cccc(O)c3[nH]2)cn1; [None]; [None]; [0]
+Oc1cccc2nc(-c3cc(Cl)ccc3Cl)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]']; ['O=C(O)c1cc(Cl)ccc1Cl', 'OCc1cc(Cl)ccc1Cl', 'O=Cc1cc(Cl)ccc1Cl', 'O=Cc1cc(Cl)ccc1Cl', 'O=C(Cl)c1cc(Cl)ccc1Cl', 'O=Cc1cc(Cl)ccc1Cl']; [0.9930998086929321, 0.9906641244888306, 0.988183856010437, 0.9761301279067993, 0.9070039987564087, 0.8949737548828125]
+Cc1ccc(-c2nc3cccc(O)c3[nH]2)c(Br)c1; ['Cc1ccc(C(=O)O)c(Br)c1', 'Cc1ccc(CO)c(Br)c1', 'Cc1ccc(C=O)c(Br)c1', 'Cc1ccc(C=O)c(Br)c1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9983080625534058, 0.9961494207382202, 0.9948536157608032, 0.9583269953727722]
+Oc1cccc2nc(-c3cnc4ccccn34)[nH]c12; ['Nc1cccc(O)c1N']; ['O=C(O)c1cnc2ccccn12']; [0.9971208572387695]
+Cc1nc(C)c(-c2nc3cccc(O)c3[nH]2)s1; ['Cc1nc(C)c(C=O)s1']; ['Nc1cccc(O)c1N']; [0.8822575807571411]
 O=c1c2c(F)cccc2cnn1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
 CC(C)C(=O)COc1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Cc1ccc(-c2nc3cccc(O)c3[nH]2)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Cc1nc(C)c(-c2nc3cccc(O)c3[nH]2)s1; [None]; [None]; [0]
-Oc1cccc2nc(-c3cnc4ccccn34)[nH]c12; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1nc2cccc(O)c2[nH]1; ['Cc1nc2ccccn2c1C=O', 'Cc1nc2ccccn2c1C(=O)O']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9805669784545898, 0.9712332487106323]
 CNc1nc(C)c(-c2nc3cccc(O)c3[nH]2)s1; [None]; [None]; [0]
+COc1cnc(-c2nc3cccc(O)c3[nH]2)nc1; [None]; [None]; [0]
+Oc1cccc2nc(-c3cccc(Br)c3)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N']; ['O=Cc1cccc(Br)c1', 'O=Cc1cccc(Br)c1', 'O=C(O)c1cccc(Br)c1']; [0.9981552362442017, 0.9965569972991943, 0.9923988580703735]
+Cc1ccc(Cl)c(-c2nc3cccc(O)c3[nH]2)c1; ['Cc1ccc(Cl)c(C(=O)O)c1', 'Cc1ccc(Cl)c(C=O)c1', 'Cc1ccc(Cl)c(CO)c1', 'Cc1ccc(Cl)c(C=O)c1', 'Cc1ccc(Cl)c(C=O)c1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9877406358718872, 0.964242160320282, 0.9273558259010315, 0.8884536027908325, 0.8387362360954285]
+Oc1cccc2nc(-c3cccc(Cn4cncn4)c3)[nH]c12; ['Nc1cccc(O)c1N']; ['O=Cc1cccc(Cn2cncn2)c1']; [0.8897265195846558]
+Oc1cccc2nc(-c3c(Cl)cccc3Cl)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; ['OCc1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.898059606552124, 0.887677788734436]
 Cc1nc(N)sc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+Nc1nccc(-c2nc3cccc(O)c3[nH]2)n1; ['Nc1cccc(O)c1N']; ['Nc1nccc(C(=O)O)n1']; [0.9300764203071594]
 Oc1cccc2nc(-c3cnc4cccnn34)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3c(Cl)cccc3Cl)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3cccc(Cn4cncn4)c3)[nH]c12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
 Oc1cccc2nc(NCc3cccnc3)[nH]c12; [None]; [None]; [0]
-Cc1c(-c2nc3cccc(O)c3[nH]2)sc(=O)n1C; [None]; [None]; [0]
-Nc1nccc(-c2nc3cccc(O)c3[nH]2)n1; [None]; [None]; [0]
 Oc1cccc2nc(-c3cnn4ncccc34)[nH]c12; [None]; [None]; [0]
-COc1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
 Oc1cccc2nc(-c3ccc4ccccc4c3)[nH]c12; [None]; [None]; [0]
+Cc1c(-c2nc3cccc(O)c3[nH]2)sc(=O)n1C; [None]; [None]; [0]
+O=C(Nc1nc2cccc(O)c2[nH]1)c1cccs1; [None]; [None]; [0]
+Oc1cccc2nc(NCCc3c[nH]cn3)[nH]c12; [None]; [None]; [0]
 Oc1cccc2nc(Nc3cccnc3)[nH]c12; [None]; [None]; [0]
+Oc1cccc2nc(-c3c[nH]nc3C(F)(F)F)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; ['O=C(O)c1c[nH]nc1C(F)(F)F', 'O=Cc1c[nH]nc1C(F)(F)F', 'O=Cc1c[nH]nc1C(F)(F)F']; [0.9987869262695312, 0.9978177547454834, 0.9812734127044678]
+NC(=O)c1c(F)cccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
 Oc1cccc2nc(-n3cnc4ccccc43)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(NCCc3c[nH]cn3)[nH]c12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2nc3cccc(O)c3[nH]2)o1; [None]; [None]; [0]
-O=C(Nc1nc2cccc(O)c2[nH]1)c1cccs1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-Oc1cccc2nc(-c3cncc4ccccc34)[nH]c12; [None]; [None]; [0]
+Oc1cccc2nc(-c3cncc4ccccc34)[nH]c12; ['Ic1cncc2ccccc12', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'CCOC(=O)c1cncc2ccccc12']; ['Oc1cccc2nc[nH]c12', 'O=Cc1cncc2ccccc12', 'O=C(O)c1cncc2ccccc12', 'O=Cc1cncc2ccccc12', 'Nc1cccc(O)c1N']; [0.9932109117507935, 0.9856971502304077, 0.984576940536499, 0.9769856929779053, 0.9676852226257324]
 Oc1cccc2nc(NCCc3ccccc3)[nH]c12; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
+Oc1cccc2nc(-c3ccc(-c4cn[nH]c4)cc3)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; ['O=C(O)c1ccc(-c2cn[nH]c2)cc1', 'O=Cc1ccc(-c2cn[nH]c2)cc1', 'O=Cc1ccc(-c2cn[nH]c2)cc1']; [0.9912432432174683, 0.9712729454040527, 0.8816527128219604]
 Cn1cc(-c2ccc(-c3nc4cccc(O)c4[nH]3)cc2)cn1; [None]; [None]; [0]
 Nc1[nH]nc2cc(-c3nc4cccc(O)c4[nH]3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3nc4cccc(O)c4[nH]3)cc2CS1(=O)=O; [None]; [None]; [0]
 Cn1ncc2cc(-c3nc4cccc(O)c4[nH]3)ccc21; [None]; [None]; [0]
-CCCn1cnc(-c2nc3cccc(O)c3[nH]2)n1; [None]; [None]; [0]
-Oc1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-OCc1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-COc1cc(-c2nc3cccc(O)c3[nH]2)ccc1C(=O)[O-]; [None]; [None]; [0]
+Oc1cccc(-c2nc3cccc(O)c3[nH]2)c1; ['Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N']; ['O=Cc1cccc(O)c1', 'O=C(O)c1cccc(O)c1', 'O=Cc1cccc(O)c1', 'O=Cc1cccc(O)c1']; [0.996025800704956, 0.8443827629089355, 0.8297153115272522, 0.8126024007797241]
+OCc1cccc(-c2nc3cccc(O)c3[nH]2)c1; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; ['O=Cc1cccc(CO)c1', 'OCc1cccc(CO)c1']; [0.8875958919525146, 0.7711853981018066]
+Oc1cccc2nc(NCc3ccc(Cl)cc3)[nH]c12; [None]; [None]; [0]
+CC(C)c1oncc1-c1nc2cccc(O)c2[nH]1; ['CC(C)c1oncc1C(=O)O']; ['Nc1cccc(O)c1N']; [0.9892535209655762]
+Oc1cccc2nc(NCc3ccccc3F)[nH]c12; [None]; [None]; [0]
 Oc1cccc2nc(Nc3ccncc3)[nH]c12; [None]; [None]; [0]
-CC(C)n1cc(-c2nc3cccc(O)c3[nH]2)nn1; [None]; [None]; [0]
-CSc1nc(-c2nc3cccc(O)c3[nH]2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+CCCn1cnc(-c2nc3cccc(O)c3[nH]2)n1; [None]; [None]; [0]
 Oc1cccc2nc(CCc3c[nH]nn3)[nH]c12; [None]; [None]; [0]
 Oc1cccc2nc(-c3csc4ncncc34)[nH]c12; [None]; [None]; [0]
-N#CCCc1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
+CC(C)n1cc(-c2nc3cccc(O)c3[nH]2)nn1; [None]; [None]; [0]
+COc1cc(-c2nc3cccc(O)c3[nH]2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CSc1nc(-c2nc3cccc(O)c3[nH]2)c[nH]1; [None]; [None]; [0]
+Oc1cccc2nc(-c3cc4ccccc4[nH]3)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; ['O=Cc1cc2ccccc2[nH]1', 'O=C(O)c1cc2ccccc2[nH]1']; [0.9868482351303101, 0.9688230752944946]
+Nc1ncncc1-c1nc2cccc(O)c2[nH]1; ['Nc1cccc(O)c1N', 'CCOC(=O)c1cncnc1N', 'Nc1cccc(O)c1N']; ['Nc1ncncc1C(=O)O', 'Nc1cccc(O)c1N', 'Nc1ncncc1C=O']; [0.9997797012329102, 0.9991132616996765, 0.9906646609306335]
+Oc1cccc2nc(-c3ccc(F)cc3C(F)(F)F)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cc(O)ccc1[N+](=O)[O-]']; ['O=C(O)c1ccc(F)cc1C(F)(F)F', 'O=C(Cl)c1ccc(F)cc1C(F)(F)F', 'O=Cc1ccc(F)cc1C(F)(F)F', 'O=Cc1ccc(F)cc1C(F)(F)F', 'O=Cc1ccc(F)cc1C(F)(F)F']; [0.9984707832336426, 0.9967190623283386, 0.9957492351531982, 0.9847275018692017, 0.9841725826263428]
 CCNc1nc2ccc(-c3nc4cccc(O)c4[nH]3)cc2s1; [None]; [None]; [0]
+NC(=O)CCCc1nc2cccc(O)c2[nH]1; ['NC(=O)CCCC(=O)O']; ['Nc1cccc(O)c1N']; [0.9958547353744507]
+N#CCCc1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
+Nc1nc(-c2nc3cccc(O)c3[nH]2)cs1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccc(F)cc3C(F)(F)F)[nH]c12; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2nc3cccc(O)c3[nH]2)c1; ['CC(=O)Nc1cccc(C(=O)O)c1', 'CC(=O)Nc1cccc(C=O)c1', 'CC(=O)Nc1cccc(C=O)c1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9997272491455078, 0.966231644153595, 0.8426014184951782]
 O=C(Nc1nc2cccc(O)c2[nH]1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-Cn1cc(-c2nc3cccc(O)c3[nH]2)c2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2nc3cccc(O)c3[nH]2)CC1; [None]; [None]; [0]
+COc1ccc(-c2nc3cccc(O)c3[nH]2)cc1Cl; ['COc1ccc(C(=O)O)cc1Cl', 'COc1ccc(C=O)cc1Cl', 'COc1ccc(CO)cc1Cl', 'COc1ccc(C=O)cc1Cl', 'COc1ccc(C=O)cc1Cl']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cc(O)ccc1[N+](=O)[O-]']; [0.9976322650909424, 0.9915674924850464, 0.9589951038360596, 0.9517319202423096, 0.9382645487785339]
+Cn1cc(-c2nc3cccc(O)c3[nH]2)c2ccccc21; ['Cn1cc(C(=O)O)c2ccccc21', 'Cn1cc(C=O)c2ccccc21']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.991499662399292, 0.97206711769104]
+CC(C)(O)CC(=O)NCCc1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+Oc1cccc2nc(Oc3ccccn3)[nH]c12; [None]; [None]; [0]
+Oc1cccc2nc(-c3cnn4ccccc34)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'CCOC(=O)c1cnn2ccccc12', 'Ic1cnn2ccccc12']; ['O=C(O)c1cnn2ccccc12', 'O=Cc1cnn2ccccc12', 'O=Cc1cnn2ccccc12', 'O=Cc1cnn2ccccc12', 'Nc1cccc(O)c1N', 'Oc1cccc2nc[nH]c12']; [0.9996154308319092, 0.9982969760894775, 0.9951093196868896, 0.9885191321372986, 0.9875868558883667, 0.9775594472885132]
+CCCn1cc(-c2nc3cccc(O)c3[nH]2)cn1; ['CCCn1cc(C=O)cn1']; ['Nc1cccc(O)c1N']; [0.9961499571800232]
 CC(C)(COc1nc2cccc(O)c2[nH]1)S(C)(=O)=O; [None]; [None]; [0]
-COc1ccc(-c2nc3cccc(O)c3[nH]2)cc1Cl; [None]; [None]; [0]
-Oc1cccc2nc(-c3cnn4ccccc34)[nH]c12; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2nc3cccc(O)c3[nH]2)CC1; [None]; [None]; [0]
+COc1cc(CCc2nc3cccc(O)c3[nH]2)cc(OC)c1; ['COc1cc(CCC=O)cc(OC)c1', 'COC(=O)CCc1cc(OC)cc(OC)c1', 'CCOC(=O)CCc1cc(OC)cc(OC)c1', 'COc1cc(CCC(=O)O)cc(OC)c1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9950864315032959, 0.9916539192199707, 0.9904954433441162, 0.9832028150558472]
+O=c1cc(-c2nc3cccc(O)c3[nH]2)cc[nH]1; ['Nc1cccc(O)c1N']; ['O=C(O)c1cc[nH]c(=O)c1']; [0.8975687026977539]
 [NH3+]Cc1ccc(-c2nc3cccc(O)c3[nH]2)cc1C(F)(F)F; [None]; [None]; [0]
-CCCn1cc(-c2nc3cccc(O)c3[nH]2)cn1; [None]; [None]; [0]
-O=c1cc(-c2nc3cccc(O)c3[nH]2)cc[nH]1; [None]; [None]; [0]
-O=C1CCc2cccc(-c3nc4cccc(O)c4[nH]3)c21; [None]; [None]; [0]
-COc1cc(CCc2nc3cccc(O)c3[nH]2)cc(OC)c1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-C[C@@H](Oc1nc2cccc(O)c2[nH]1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3nc4cccc(O)c4[nH]3)c21; [None]; [None]; [0]
 CCN(CC)c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-O=c1[nH]ccc2oc(-c3nc4cccc(O)c4[nH]3)cc12; [None]; [None]; [0]
-O=c1[nH]cc(Br)c2sc(-c3nc4cccc(O)c4[nH]3)cc12; [None]; [None]; [0]
-Oc1cccc2nc(-c3c[nH]c4ccccc34)[nH]c12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2nc3cccc(O)c3[nH]2)c1; ['CC(C)Oc1cncc(C=O)c1']; ['Nc1cccc(O)c1N']; [0.9964969158172607]
 COc1ccncc1Nc1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3nc4cccc(O)c4[nH]3)cc12; [None]; [None]; [0]
 Oc1cccc2nc(Nc3cnccc3-c3ccccc3)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3c[nH]c4cnccc34)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(Nc3cnc4ccccc4c3)[nH]c12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(CO)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cc(O)ccc1[N+](=O)[O-]']; [0.9744836688041687, 0.9705178737640381, 0.9676101803779602, 0.9664084911346436, 0.9567149877548218, 0.8054260015487671]
+C[C@@H](Oc1nc2cccc(O)c2[nH]1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+O=c1[nH]cc(Br)c2sc(-c3nc4cccc(O)c4[nH]3)cc12; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1cccc2nc(-c3cnc4[nH]ccc4c3)[nH]c12; [None]; [None]; [0]
+Oc1cccc2nc(-c3cnc4[nH]ccc4c3)[nH]c12; ['Nc1cccc(O)c1N']; ['O=Cc1cnc2[nH]ccc2c1']; [0.91810142993927]
+COc1cccc(F)c1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+Oc1cccc2nc(-c3c[nH]c4cnccc34)[nH]c12; ['Nc1cccc(O)c1N', 'CCOC(=O)c1c[nH]c2cnccc12', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; ['O=C(O)c1c[nH]c2cnccc12', 'Nc1cccc(O)c1N', 'O=Cc1c[nH]c2cnccc12', 'O=Cc1c[nH]c2cnccc12']; [0.9998512268066406, 0.9990912675857544, 0.997300386428833, 0.9881193041801453]
+Oc1cccc2nc(Nc3cnc4ccccc4c3)[nH]c12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CNS(=O)(=O)c1ccc(C(=O)O)cc1']; ['Nc1cccc(O)c1N']; [0.9432619214057922]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(C(=O)O)cc1']; ['Nc1cccc(O)c1N']; [0.9828029870986938]
+CS(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CS(=O)(=O)c1ccc(C(=O)O)cc1', 'CS(=O)(=O)c1ccc(C(=O)Cl)cc1', 'CS(=O)(=O)c1ccc(C=O)cc1', 'CS(=O)(=O)c1ccc(C=O)cc1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9795343279838562, 0.8951926231384277, 0.8492258191108704, 0.7987903952598572]
 CN(c1nc2cccc(O)c2[nH]1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 CC1(c2nc3cccc(O)c3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
 Oc1cccc2nc(-c3ccc(N4CCOCC4)cc3)[nH]c12; [None]; [None]; [0]
 Cc1cc(-c2nc3cccc(O)c3[nH]2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-C[C@H](Nc1nc2cccc(O)c2[nH]1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 OCc1ccn(-c2nc3cccc(O)c3[nH]2)n1; [None]; [None]; [0]
+C[C@H](Nc1nc2cccc(O)c2[nH]1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Oc1cccc2nc(-c3c(F)cccc3Cl)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; ['O=C(O)c1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl']; [0.9974915385246277, 0.9782215356826782, 0.9567609429359436]
 OCCc1cn(-c2nc3cccc(O)c3[nH]2)cn1; [None]; [None]; [0]
+Oc1cccc2nc(-c3ccc(-n4cncn4)cc3)[nH]c12; ['Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1ccc(-n2cncn2)cc1']; ['O=Cc1ccc(-n2cncn2)cc1', 'O=C(O)c1ccc(-n2cncn2)cc1', 'O=Cc1ccc(-n2cncn2)cc1', 'O=Cc1ccc(-n2cncn2)cc1', 'OCc1ccc(-n2cncn2)cc1', 'Oc1cccc2nc[nH]c12']; [0.9995560646057129, 0.9988713264465332, 0.9985812902450562, 0.9978379011154175, 0.9966373443603516, 0.9880468845367432]
 C[C@H](Nc1nc2cccc(O)c2[nH]1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+COc1ccc(-c2nc3cccc(O)c3[nH]2)c(OC)c1; ['COc1ccc(C(=O)O)c(OC)c1', 'COc1ccc(C=O)c(OC)c1', 'COc1ccc(CO)c(OC)c1', 'COc1ccc(C=O)c(OC)c1', 'COc1ccc(C(=O)Cl)c(OC)c1']; ['Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9994264841079712, 0.9992286562919617, 0.9988070726394653, 0.9981549382209778, 0.9799127578735352]
 C[C@@H](Nc1nc2cccc(O)c2[nH]1)C(C)(C)O; [None]; [None]; [0]
 Oc1cccc2nc(-n3ncc4ccccc43)[nH]c12; [None]; [None]; [0]
-Oc1cccc2c1cnn2-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1ncccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccc(-n4cncn4)cc3)[nH]c12; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N']; ['O=C(Cl)c1ccc(C(=O)c2ccccc2)cc1', 'O=C(O)c1ccc(C(=O)c2ccccc2)cc1', 'O=Cc1ccc(C(=O)c2ccccc2)cc1', 'O=Cc1ccc(C(=O)c2ccccc2)cc1']; [0.9808515310287476, 0.9527952671051025, 0.8187562227249146, 0.7712016105651855]
 Oc1ccc2nc(-c3nc4cccc(O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
 CSc1nc(C)c(-c2nc3cccc(O)c3[nH]2)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2nc3cccc(O)c3[nH]2)c(OC)c1; [None]; [None]; [0]
-O=C(c1ccccc1)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-CC(C)n1cnnc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1cccc2nc(-c3nncn3C3CC3)[nH]c12; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2nc3cccc(O)c3[nH]2)n1; [None]; [None]; [0]
 Oc1cccc2nc(Cc3nnc4ccc(-c5ccccc5)nn34)[nH]c12; [None]; [None]; [0]
 O=C(CCc1nc2cccc(O)c2[nH]1)NCc1ccccn1; [None]; [None]; [0]
-O=S(=O)(Cc1nc2cccc(O)c2[nH]1)NCc1ccccn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2nc3cccc(O)c3[nH]2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2nc3cccc(O)c3[nH]2)n1; [None]; [None]; [0]
+Oc1cccc2nc(-c3nncn3C3CC3)[nH]c12; [None]; [None]; [0]
 Oc1cccc2nc(-c3cn(Cc4ccccc4)nn3)[nH]c12; [None]; [None]; [0]
 CCc1cc(-c2nc3cccc(O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2nc3cccc(O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2nc3cccc(O)c3[nH]2)s1; [None]; [None]; [0]
+O=S(=O)(Cc1nc2cccc(O)c2[nH]1)NCc1ccccn1; [None]; [None]; [0]
 Nc1nnc(-c2nc3cccc(O)c3[nH]2)s1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2nc3cccc(O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2nc3cccc(O)c3[nH]2)CC1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2nc3cccc(O)c3[nH]2)n1; [None]; [None]; [0]
+Oc1cccc2nc(-c3cccc4ccsc34)[nH]c12; ['Nc1cccc(O)c1N']; ['O=Cc1cccc2ccsc12']; [0.8685227632522583]
 [NH3+]Cc1ccc(Oc2nc3cccc(O)c3[nH]2)c(F)c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1cccc2nc(-c3nc4ccccc4s3)[nH]c12; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3nc4cccc(O)c4[nH]3)nc2NC1=O; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+Nc1cncc(-c2nc3cccc(O)c3[nH]2)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3nc4cccc(O)c4[nH]3)c2)cc1; [None]; [None]; [0]
-Oc1cccc2nc(-c3cccc4ccsc34)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3cccc4nnsc34)[nH]c12; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3nc4cccc(O)c4[nH]3)nc2NC1=O; [None]; [None]; [0]
+Oc1cccc2nc(-c3cccc4nnsc34)[nH]c12; ['Nc1cccc2nnsc12']; ['Oc1cccc2nc[nH]c12']; [0.9227672815322876]
+Oc1cccc2nc(-c3nc4ccccc4s3)[nH]c12; [None]; [None]; [0]
+Oc1cccc2nc(-c3c[nH]c4cccnc34)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; ['O=Cc1c[nH]c2cccnc12', 'O=C(O)c1c[nH]c2cccnc12']; [0.9832543134689331, 0.9718626737594604]
 CC(=O)Nc1ncc(-c2nc3cccc(O)c3[nH]2)[nH]1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1nc2cccc(O)c2[nH]1; ['COc1ccc(C#N)cc1C=O', 'COc1ccc(C#N)cc1C(=O)O', 'COc1ccc(C#N)cc1C=O', 'COc1ccc(C#N)cc1C=O']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cc(O)ccc1[N+](=O)[O-]']; [0.9999339580535889, 0.9997377395629883, 0.9996515512466431, 0.9996258020401001]
 Nc1nc(-c2nc3cccc(O)c3[nH]2)nc2ccccc12; [None]; [None]; [0]
+COc1ccc(OC)c(-c2nc3cccc(O)c3[nH]2)c1; ['COc1ccc(OC)c(C(=O)O)c1', 'COc1ccc(OC)c(C=O)c1', 'COc1ccc(OC)c(CO)c1', 'COc1ccc(OC)c(C=O)c1', 'COc1ccc(OC)c(C=O)c1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9996641874313354, 0.9981228113174438, 0.9945701956748962, 0.9884531497955322, 0.9839085340499878]
 Oc1cccc2nc(-c3ncc4ccccc4n3)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3c[nH]c4cccnc34)[nH]c12; [None]; [None]; [0]
+OCCn1cnc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
 Oc1cccc2nc(-c3ncc4cc[nH]c4n3)[nH]c12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2nc3cccc(O)c3[nH]2)c1; ['CN(C)S(=O)(=O)c1cccc(C(=O)O)c1']; ['Nc1cccc(O)c1N']; [0.9186381697654724]
+COc1ncccc1-c1nc2cccc(O)c2[nH]1; ['COc1ncccc1C=O', 'COc1ncccc1C(=O)O', 'COc1ncccc1C=O']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9587118625640869, 0.9563408493995667, 0.953647255897522]
 COc1ccc(Oc2nc3cccc(O)c3[nH]2)c(F)c1F; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2nc3cccc(O)c3[nH]2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2nc3cccc(O)c3[nH]2)n1; [None]; [None]; [0]
 CN(C)c1cc(-c2nc3cccc(O)c3[nH]2)cnn1; [None]; [None]; [0]
-Oc1cccc2nc(N3CCC(c4nc5ccccc5[nH]4)CC3)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(N3CC=C(c4c[nH]c5ccccc45)CC3)[nH]c12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CC(=O)N(C)c1ccc(C(=O)O)cc1']; ['Nc1cccc(O)c1N']; [0.996819257736206]
+CCOc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CCOc1ccc(CO)cc1', 'CCOc1ccc(C=O)cc1', 'CCOc1ccc(C(=O)O)cc1', 'CCOc1ccc(C=O)cc1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9630918502807617, 0.9178140163421631, 0.8493502140045166, 0.8214340806007385]
+COc1cc(-c2nc3cccc(O)c3[nH]2)cc(OC)c1OC; ['COc1cc(C=O)cc(OC)c1OC', 'COc1cc(C(=O)O)cc(OC)c1OC', 'COc1cc(C=O)cc(OC)c1OC']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9911404848098755, 0.9904581308364868, 0.842542290687561]
+CS(=O)(=O)c1cccc(-c2nc3cccc(O)c3[nH]2)c1; ['CS(=O)(=O)c1cccc(C(=O)O)c1', 'CS(=O)(=O)c1cccc(C=O)c1', 'CS(=O)(=O)c1cccc(C=O)c1']; ['Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N']; [0.9895336627960205, 0.9846471548080444, 0.9796023964881897]
 O=C(Nc1cccc(-c2nc3cccc(O)c3[nH]2)c1)C1CCNCC1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
+Oc1cccc2nc(N3CCC(c4nc5ccccc5[nH]4)CC3)[nH]c12; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-COc1ncccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-COc1cc(-c2nc3cccc(O)c3[nH]2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3nc4cccc(O)c4[nH]3)c2c1; [None]; [None]; [0]
-COc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
+COc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['COc1ccc(CO)cc1', 'CCOC(=N)c1ccc(OC)cc1', 'COc1ccc(C(=O)O)cc1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9522809982299805, 0.9492517113685608, 0.8897135257720947]
 O=C(Nc1cccc(-c2nc3cccc(O)c3[nH]2)c1)C1CC1; [None]; [None]; [0]
-Oc1cccc2nc(-c3nc4ccccc4[nH]3)[nH]c12; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc4cccc(O)c4[nH]3)cc2)CC1; [None]; [None]; [0]
+Oc1cccc2nc(N3CC=C(c4c[nH]c5ccccc45)CC3)[nH]c12; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3nc4cccc(O)c4[nH]3)c2c1; [None]; [None]; [0]
 Cc1cc(Nc2nc3cccc(O)c3[nH]2)sn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2nc3cccc(O)c3[nH]2)cn1; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-Oc1cccc2nc(Nc3ncccn3)[nH]c12; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['NC(=O)c1ccc(C(=O)O)cc1']; ['Nc1cccc(O)c1N']; [0.9846330881118774]
+Oc1cccc2nc(-c3nccc4ccccc34)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Cc1nccc2ccccc12']; ['O=Cc1nccc2ccccc12', 'O=C(O)c1nccc2ccccc12', 'Nc1cccc(O)c1N']; [0.9952027797698975, 0.9646122455596924, 0.9184033274650574]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc4cccc(O)c4[nH]3)cc2)CC1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['Nc1cccc(O)c1N']; ['O=C(O)c1ccc(C(=O)Nc2ccccc2)cc1']; [0.9944769740104675]
+OCCOc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; ['OCCOc1ccc(CO)cc1', 'O=Cc1ccc(OCCO)cc1']; [0.9963260889053345, 0.9944354295730591]
+Oc1cccc2nc(-c3nc4ccccc4[nH]3)[nH]c12; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3nc4cccc(O)c4[nH]3)cn2)c1; [None]; [None]; [0]
-Oc1cccc2nc(Cc3nccc4ccccc34)[nH]c12; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-OCCOc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CC(=O)NCc1ccc(C(=O)O)cc1']; ['Nc1cccc(O)c1N']; [0.9679155945777893]
+Oc1cccc2nc(Nc3ncccn3)[nH]c12; [None]; [None]; [0]
+O=C(c1ccc(-c2nc3cccc(O)c3[nH]2)cc1)N1CCOCC1; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; ['O=C(O)c1ccc(C(=O)N2CCOCC2)cc1', 'O=Cc1ccc(C(=O)N2CCOCC2)cc1']; [0.9971927404403687, 0.9623366594314575]
+O=C([O-])c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
 Oc1cccc2nc(-c3cccc(C4CCNCC4)c3)[nH]c12; [None]; [None]; [0]
-O=C(c1ccc(-c2nc3cccc(O)c3[nH]2)cc1)N1CCOCC1; [None]; [None]; [0]
+Oc1cccc2nc(-c3ccc(C(F)(F)F)cc3)[nH]c12; ['Nc1cccc(O)c1N', 'CCOC(=N)c1ccc(C(F)(F)F)cc1', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; ['O=C(O)c1ccc(C(F)(F)F)cc1', 'Nc1cccc(O)c1N', 'OCc1ccc(C(F)(F)F)cc1', 'O=Cc1ccc(C(F)(F)F)cc1', 'O=C(Cl)c1ccc(C(F)(F)F)cc1']; [0.9853343963623047, 0.9702293276786804, 0.9230150580406189, 0.8809716701507568, 0.8004287481307983]
 O=C(c1ccc(-c2nc3cccc(O)c3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
-Oc1cccc2nc(Nc3ccncn3)[nH]c12; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3nc4cccc(O)c4[nH]3)cc2C1; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccc(C(F)(F)F)cc3)[nH]c12; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CN(C)c1ccc(CO)cc1', 'CN(C)c1ccc(C(=O)O)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(C(=O)Cl)cc1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N']; [0.994225800037384, 0.9747146368026733, 0.9580299854278564, 0.9394595623016357, 0.9035272598266602, 0.8290488719940186]
+Oc1cccc2nc(Nc3ccncn3)[nH]c12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(C(=O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(C(=O)Cl)cc1']; ['Oc1cccc2nc[nH]c12', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9409369230270386, 0.7805721759796143, 0.7739692330360413]
 CS(=O)(=O)N1CCC(c2nc3cccc(O)c3[nH]2)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2nc3cccc(O)c3[nH]2)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2nc3cccc(O)c3[nH]2)C1; [None]; [None]; [0]
-CC(C)c1cc(-c2nc3cccc(O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3nc4cccc(O)c4[nH]3)c2)CC1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CCNS(=O)(=O)c1ccc(C(=O)O)cc1']; ['Nc1cccc(O)c1N']; [0.9395740032196045]
+Oc1cccc2nc(-c3ccc(Br)cc3)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]']; ['O=C(O)c1ccc(Br)cc1', 'OCc1ccc(Br)cc1', 'O=C(Cl)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.9554932713508606, 0.9458314180374146, 0.9299641847610474, 0.877686619758606, 0.8060479164123535]
 CCCOc1ccc(-c2nc3cccc(O)c3[nH]2)nc1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccc(Br)cc3)[nH]c12; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CCN(CC)C(=O)c1ccc(C(=O)O)cc1']; ['Nc1cccc(O)c1N']; [0.9950618147850037]
+CC(=O)N1CCCN(c2cccc(-c3nc4cccc(O)c4[nH]3)c2)CC1; [None]; [None]; [0]
+CC(C)c1cc(-c2nc3cccc(O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
 CN(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-COc1cc(OC)c(-c2nc3cccc(O)c3[nH]2)cc1Cl; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3nc4cccc(O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccc4c(c3)CCO4)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3cc4ccccc4cn3)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3cc(-c4ccccc4)[nH]n3)[nH]c12; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+Oc1cccc2nc(-c3ccn4nccc4n3)[nH]c12; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1nc2cccc(O)c2[nH]1; ['COc1ccc(Cl)cc1C=O', 'COc1ccc(Cl)cc1C(=O)O', 'COc1ccc(Cl)cc1C=O']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9972207546234131, 0.996198296546936, 0.9909735918045044]
+O=C(c1ccccc1)N1CC[C@H](c2nc3cccc(O)c3[nH]2)C1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)c(C)c1; [None]; [None]; [0]
+Oc1cccc2nc(-c3ccccc3-n3cccn3)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1ccccc1-n1cccn1', 'Nc1cc(O)ccc1[N+](=O)[O-]']; ['O=C(O)c1ccccc1-n1cccn1', 'O=Cc1ccccc1-n1cccn1', 'OCc1ccccc1-n1cccn1', 'O=Cc1ccccc1-n1cccn1', 'Oc1cccc2nc[nH]c12', 'O=Cc1ccccc1-n1cccn1']; [0.9983886480331421, 0.9973577260971069, 0.986791729927063, 0.9842597246170044, 0.9537464380264282, 0.9136039018630981]
+COc1cc(OC)c(-c2nc3cccc(O)c3[nH]2)cc1Cl; ['COc1cc(OC)c(C=O)cc1Cl', 'COc1cc(OC)c(C=O)cc1Cl']; ['Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9997597932815552, 0.9978858232498169]
+COc1cc(-c2nc3cccc(O)c3[nH]2)ccc1O; ['COc1cc(C(=O)O)ccc1O', 'COc1cc(C=O)ccc1O', 'COc1cc(C=O)ccc1O']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9955638647079468, 0.9685229063034058, 0.7883626222610474]
+Oc1cccc2nc(-c3c[nH]c4ccccc34)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'CCOC(=O)c1c[nH]c2ccccc12', 'Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]']; ['O=C(O)c1c[nH]c2ccccc12', 'OCc1c[nH]c2ccccc12', 'Nc1cccc(O)c1N', 'O=Cc1c[nH]c2ccccc12', 'O=Cc1c[nH]c2ccccc12']; [0.9984275102615356, 0.9967337250709534, 0.9966671466827393, 0.9915057420730591, 0.9607316255569458]
+Oc1cccc2nc(-c3ccc4c(c3)CCO4)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; ['O=C(O)c1ccc2c(c1)CCO2', 'O=Cc1ccc2c(c1)CCO2', 'O=Cc1ccc2c(c1)CCO2']; [0.9945125579833984, 0.9886372089385986, 0.9774048328399658]
+Oc1cccc2nc(-c3cc(-c4ccccc4)[nH]n3)[nH]c12; ['Nc1cccc(O)c1N']; ['O=C(O)c1cc(-c2ccccc2)[nH]n1']; [0.9910776615142822]
+Oc1cccc2nc(-c3cccc4c3OCO4)[nH]c12; ['Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N']; ['O=Cc1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2', 'O=C(O)c1cccc2c1OCO2', 'OCc1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2', 'O=C(Cl)c1cccc2c1OCO2']; [0.9992729425430298, 0.9971301555633545, 0.9951934218406677, 0.9945135116577148, 0.9920167922973633, 0.982192873954773]
+Oc1cccc2nc(-c3cnc4ccccc4c3)[nH]c12; ['Nc1cccc(O)c1N']; ['O=Cc1cnc2ccccc2c1']; [0.9891301393508911]
+Oc1cccc2nc(-c3scc4c3OCCO4)[nH]c12; ['Nc1cccc(O)c1N']; ['O=Cc1scc2c1OCCO2']; [0.9994713068008423]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1cccc2nc(-c3cccc4c3OCO4)[nH]c12; [None]; [None]; [0]
-COc1cc(-c2nc3cccc(O)c3[nH]2)ccc1O; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-Oc1cccc2nc(-c3scc4c3OCCO4)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3cnc4ccccc4c3)[nH]c12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cn1; [None]; [None]; [0]
-Oc1cccc2nc(Cc3nc4c(F)c(F)ccc4[nH]3)[nH]c12; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2nc3cccc(O)c3[nH]2)CC1; [None]; [None]; [0]
-CC1(COc2nc3cccc(O)c3[nH]2)COC1; [None]; [None]; [0]
+CSc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CSc1ccc(C(=O)O)cc1', 'CSc1ccc(C=O)cc1', 'CSc1ccc(CO)cc1', 'CSc1ccc(C=O)cc1', 'CSc1ccc(C(=O)Cl)cc1']; ['Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9836050271987915, 0.9508732557296753, 0.9236612319946289, 0.8838832378387451, 0.8523535132408142]
+CC(C)c1ccc2nc(-c3nc4cccc(O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CN(C)C(=O)c1ccc(C(=O)O)cc1', 'CN(C)C(=O)c1ccc(C=O)cc1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9726431369781494, 0.8291468620300293]
+CC(C)(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cn1; ['CC(C)(C)c1ccc(C(=O)O)cn1', 'CC(C)(C)c1ccc(C=O)cn1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9794870615005493, 0.9564566612243652]
+Oc1cccc2nc(-c3ccc(F)cc3Cl)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; ['O=Cc1ccc(F)cc1Cl', 'O=C(O)c1ccc(F)cc1Cl', 'O=Cc1ccc(F)cc1Cl']; [0.9899041652679443, 0.9759227633476257, 0.9631600379943848]
+Oc1cccc2nc(-c3cc4ccccc4s3)[nH]c12; ['Nc1cccc(O)c1N']; ['O=Cc1cc2ccccc2s1']; [0.9709906578063965]
 COc1cccc(C(=O)Nc2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3nc4cccc(O)c4[nH]3)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2nc3cccc(O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccc(F)cc3Cl)[nH]c12; [None]; [None]; [0]
+CC1(COc2nc3cccc(O)c3[nH]2)COC1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3nc4cccc(O)c4[nH]3)cc2)CC1; ['CCN1CCN(Cc2ccc(C=O)cc2)CC1', 'CCN1CCN(Cc2ccc(C=O)cc2)CC1', 'CCN1CCN(Cc2ccc(C(=O)O)cc2)CC1']; ['Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9903106689453125, 0.9786193370819092, 0.9348986744880676]
+COc1ccc(-c2nc3cccc(O)c3[nH]2)cc1OC; ['COc1ccc(C=O)cc1OC', 'COc1ccc(C(=O)Cl)cc1OC', 'COc1ccc(C(=O)O)cc1OC', 'COc1ccc(CO)cc1OC']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.8923373222351074, 0.8321095705032349, 0.797312319278717, 0.7697457075119019]
+Oc1cccc2nc(-c3ccn(-c4cccc(Cl)c4)n3)[nH]c12; [None]; [None]; [0]
+O=C1CCc2cc(-c3nc4cccc(O)c4[nH]3)ccc2N1; ['Nc1cccc(O)c1N', 'O=C1CCc2cc(I)ccc2N1']; ['O=C1CCc2cc(C(=O)O)ccc2N1', 'Oc1cccc2nc[nH]c12']; [0.9355146288871765, 0.9241780042648315]
+Oc1cccc2nc(-c3ccc(Cl)cc3Cl)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; ['O=Cc1ccc(Cl)cc1Cl', 'O=C(O)c1ccc(Cl)cc1Cl', 'O=Cc1ccc(Cl)cc1Cl']; [0.97868812084198, 0.9650970697402954, 0.948595404624939]
+CCc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CCc1ccc(C=O)cc1', 'CCc1ccc(C(=O)O)cc1', 'CCc1ccc(C=O)cc1', 'CCc1ccc(CO)cc1', 'CCc1ccc(C=O)cc1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]']; [0.9658735990524292, 0.9616483449935913, 0.9465345740318298, 0.9241478443145752, 0.7783138155937195]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
 Oc1cccc2nc(-c3ncc(Br)cn3)[nH]c12; [None]; [None]; [0]
-COc1ccc(-c2nc3cccc(O)c3[nH]2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
+Cc1cc(-c2nc3cccc(O)c3[nH]2)nc(N)n1; [None]; [None]; [0]
 COc1ccc(CNc2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccc(Cl)cc3Cl)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(CCCn3cncn3)[nH]c12; [None]; [None]; [0]
+COc1ccc2cccc(-c3nc4cccc(O)c4[nH]3)c2c1; ['COc1ccc2cccc(C=O)c2c1', 'COc1ccc2cccc(C=O)c2c1', 'COc1ccc2cccc(C=O)c2c1']; ['Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.999089241027832, 0.9989150762557983, 0.9952335357666016]
 Oc1cccc2nc(-c3ncc4cccn4n3)[nH]c12; [None]; [None]; [0]
+Cn1cc(-c2nc3cccc(O)c3[nH]2)c(C(F)(F)F)n1; ['Cn1cc(C=O)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(C(=O)O)c(C(F)(F)F)n1']; ['Nc1cccc(O)c1N', 'Oc1cccc2nc[nH]c12', 'Nc1cccc(O)c1N']; [0.9931495189666748, 0.9804500341415405, 0.9479615688323975]
+CC1(C)Cc2cc(-c3nc4cccc(O)c4[nH]3)ccc2O1; ['CC1(C)Cc2cc(C=O)ccc2O1', 'CC1(C)Cc2cc(C=O)ccc2O1']; ['Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9991923570632935, 0.9955474138259888]
+COc1cc(F)c(-c2nc3cccc(O)c3[nH]2)cc1OC; ['COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C(=O)O)cc1OC', 'COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C=O)cc1OC']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cc(O)ccc1[N+](=O)[O-]']; [0.9989667534828186, 0.9983831644058228, 0.9971742630004883, 0.98836350440979]
+COc1cc(-c2nc3cccc(O)c3[nH]2)ccc1Cl; ['COc1cc(C=O)ccc1Cl', 'COc1cc(C(=O)O)ccc1Cl']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.8810649514198303, 0.7849441766738892]
+Oc1cccc2nc(-c3cc4ccccn4n3)[nH]c12; [None]; [None]; [0]
+Oc1ccc2cccc(-c3nc4cccc(O)c4[nH]3)c2c1; ['Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; ['O=Cc1cccc2ccc(O)cc12', 'O=C(O)c1cccc2ccc(O)cc12', 'O=Cc1cccc2ccc(O)cc12', 'O=Cc1cccc2ccc(O)cc12']; [0.9996321201324463, 0.9993130564689636, 0.9938215017318726, 0.9844361543655396]
 O=C(C1CC1)N1CC(Nc2nc3cccc(O)c3[nH]2)C1; [None]; [None]; [0]
 COc1cc(-c2nc3cccc(O)c3[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-Oc1cccc2nc(-c3cc4ccccn4n3)[nH]c12; [None]; [None]; [0]
-Cn1cc(-c2nc3cccc(O)c3[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3nc4cccc(O)c4[nH]3)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3nc4cccc(O)c4[nH]3)c2c1; [None]; [None]; [0]
-Oc1ccc2cccc(-c3nc4cccc(O)c4[nH]3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2nc3cccc(O)c3[nH]2)cc1OC; [None]; [None]; [0]
-COc1cc(-c2nc3cccc(O)c3[nH]2)ccc1Cl; [None]; [None]; [0]
-Oc1cccc2nc(-c3ncc(Cl)cn3)[nH]c12; [None]; [None]; [0]
-Cc1csc2c(-c3nc4cccc(O)c4[nH]3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
 Cc1nc(Nc2nc3cccc(O)c3[nH]2)sc1C; [None]; [None]; [0]
+COc1cc(-c2nc3cccc(O)c3[nH]2)c(OC)cc1Br; ['COc1cc(C=O)c(OC)cc1Br', 'COc1cc(C(=O)O)c(OC)cc1Br', 'COc1cc(CO)c(OC)cc1Br', 'COc1cc(C=O)c(OC)cc1Br']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9995474815368652, 0.9986757040023804, 0.9967800378799438, 0.9908014535903931]
 Cc1cc(Nc2nc3cccc(O)c3[nH]2)nn1C; [None]; [None]; [0]
+Cc1csc2c(-c3nc4cccc(O)c4[nH]3)ncnc12; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nc3cccc(O)c3[nH]2)cc1; ['NC(=O)c1ccc(CC(=O)O)cc1']; ['Nc1cccc(O)c1N']; [0.9919780492782593]
+CCNC(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)nc1; [None]; [None]; [0]
+Oc1cccc2nc(-c3ncc(Cl)cn3)[nH]c12; [None]; [None]; [0]
 Nc1cc(-c2nc3cccc(O)c3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(-c2nc3cccc(O)c3[nH]2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-O=C(Nc1nc2cccc(O)c2[nH]1)c1ccco1; [None]; [None]; [0]
-O=S(=O)(CCO)c1ccc(Cc2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2nc3cccc(O)c3[nH]2)CC1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2nc3cccc(O)c3[nH]2)cc1; ['Nc1cccc(O)c1N']; ['O=C(O)Cc1ccc(S(=O)(=O)CCO)cc1']; [0.9733564257621765]
 CCNC(=O)N1CCC(c2nc3cccc(O)c3[nH]2)CC1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2nc3cccc(O)c3[nH]2)CC1; ['CO[C@H]1CC[C@H](C(=O)O)CC1']; ['Nc1cccc(O)c1N']; [0.9905638694763184]
+COc1cc(CS(C)(=O)=O)ccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2nc3cccc(O)c3[nH]2)c1; ['COc1cc(OC)cc(C(=O)O)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]', 'Nc1c(O)cccc1[N+](=O)[O-]']; [0.9907461404800415, 0.9809005260467529, 0.9464744329452515, 0.9077633023262024]
 O=C(Nc1cn[nH]c1)c1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
+COc1ccc2oc(-c3nc4cccc(O)c4[nH]3)cc2c1; ['COc1ccc2oc(C=O)cc2c1']; ['Nc1cccc(O)c1N']; [0.8554494380950928]
+Oc1cccc2nc(-c3ccc4cn[nH]c4c3)[nH]c12; ['Nc1cccc(O)c1N']; ['O=Cc1ccc2cn[nH]c2c1']; [0.9517822265625]
+Oc1cccc2nc(-c3cc4ccccc4o3)[nH]c12; ['Nc1cccc(O)c1N']; ['O=Cc1cc2ccccc2o1']; [0.7709224224090576]
+O=C(Nc1nc2cccc(O)c2[nH]1)c1ccco1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1nc3cccc(O)c3[nH]1)cn2C; [None]; [None]; [0]
-COc1ccc2oc(-c3nc4cccc(O)c4[nH]3)cc2c1; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccc4cn[nH]c4c3)[nH]c12; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(C(=O)Nc2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-CCn1cc(-c2nc3cccc(O)c3[nH]2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
 Oc1cccc2nc(-c3cc(-c4cccnc4)ccn3)[nH]c12; [None]; [None]; [0]
-Oc1cccc2nc(-c3cc4ccccc4o3)[nH]c12; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
+COc1ccc2nc(-c3nc4cccc(O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
 Oc1cccc2nc(-c3ncc4sccc4n3)[nH]c12; [None]; [None]; [0]
+Oc1cccc2nc(-c3ccc(OC(F)(F)F)cc3)[nH]c12; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1c(O)cccc1[N+](=O)[O-]', 'Nc1cccc(O)c1N', 'Nc1cc(O)ccc1[N+](=O)[O-]']; ['O=Cc1ccc(OC(F)(F)F)cc1', 'O=C(O)c1ccc(OC(F)(F)F)cc1', 'O=C(Cl)c1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1', 'OCc1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1']; [0.9985030889511108, 0.997421383857727, 0.993644654750824, 0.9847971796989441, 0.981858491897583, 0.9772209525108337]
 CC(C)c1nn(C)cc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2nc3cccc(O)c3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(-c3nc4cccc(O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
-Oc1cccc2nc(-c3ccc(OC(F)(F)F)cc3)[nH]c12; [None]; [None]; [0]
+CCc1cccc(-c2nc3cccc(O)c3[nH]2)n1; ['CCc1cccc(C#N)n1', 'CCc1cccc(C=O)n1', 'CCc1cccc(C(=O)O)n1', 'CCc1cccc(C)n1']; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; [0.9620627164840698, 0.940755307674408, 0.8579403162002563, 0.804672360420227]
 COc1ccc(F)c(C(=O)Nc2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3nc4cccc(O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
-CCc1cccc(-c2nc3cccc(O)c3[nH]2)n1; [None]; [None]; [0]
+Cc1cc(-c2nc3cccc(O)c3[nH]2)cc(C)c1OCCO; ['Cc1cc(C=O)cc(C)c1OCCO']; ['Nc1cccc(O)c1N']; [0.9924988746643066]
 Oc1cccc2nc(-c3ncn4c3CCCC4)[nH]c12; [None]; [None]; [0]
-Cc1cc(-c2nc3cccc(O)c3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3nc4cccc(O)c4[nH]3)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cn1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3cccc(O)c3[nH]2)cn1; ['CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(C(=O)O)cn1']; ['Oc1cccc2nc[nH]c12', 'Nc1cccc(O)c1N']; [0.9810655117034912, 0.9684097170829773]
+CC(C)(O)c1ccc2cc(-c3nc4cccc(O)c4[nH]3)[nH]c2c1; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3nc4cccc(O)c4[nH]3)ccc12; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3nc4cccc(O)c4[nH]3)cn2)CC1; [None]; [None]; [0]
-OCCc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
 O=C1CCCN1c1cccc(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
+OCCc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['Nc1cccc(O)c1N', 'Nc1cccc(O)c1N']; ['O=C(O)c1ccc(CCO)cc1', 'OCCc1ccc(CO)cc1']; [0.9980757832527161, 0.9852083325386047]
+Cn1nc(Cl)c2cc(-c3nc4cccc(O)c4[nH]3)ccc21; [None]; [None]; [0]
 O=C(Nc1nc2cccc(O)c2[nH]1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)c(Cl)c1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3nc4cccc(O)c4[nH]3)cn2)CC1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3nc4cccc(O)c4[nH]3)cc2)n1C; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; ['CCNC(=O)c1ccc(C(=O)O)cc1']; ['Nc1cccc(O)c1N']; [0.9970163702964783]
 CNC(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)c(OC)c1; [None]; [None]; [0]
-Cn1nc(-c2nc3cccc(O)c3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
-Oc1cccc2nc(Nc3ccc(F)cn3)[nH]c12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2nc3cccc(O)c3[nH]2)c1; ['CS(=O)(=O)c1ccc(Cl)c(C(=O)O)c1']; ['Nc1cccc(O)c1N']; [0.9955686330795288]
 Cc1cc(Nc2nc3cccc(O)c3[nH]2)ncc1F; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
-Oc1cccc2nc(Nc3ccccn3)[nH]c12; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc3cccc(O)c3[nH]2)nc1; [None]; [None]; [0]
+Oc1cccc2nc(Nc3ccccn3)[nH]c12; ['N#CNc1ccccn1']; ['Nc1cccc(O)c1N']; [0.8414130806922913]
+CCNC(=O)Cc1ccc(-c2nc3cccc(O)c3[nH]2)cc1; [None]; [None]; [0]
+Oc1cccc2nc(Nc3ccc(F)cn3)[nH]c12; [None]; [None]; [0]
+Cn1nc(-c2nc3cccc(O)c3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc(O)c(C)c1; ['CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1Br', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1', 'CNC(=O)c1ccccc1I', 'CNC(=O)c1ccccc1Br']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1ccccc1O', 'Cc1ccccc1O']; [0.9999715089797974, 0.9999698996543884, 0.9999536275863647, 0.9999433755874634, 0.9999371767044067, 0.9995355010032654, 0.998141348361969, 0.9952353835105896, 0.8638966083526611, 0.7599897384643555]
+COC(C)(C)CCc1ccc(O)c(C)c1; ['COC(C)(C)CCO']; ['Cc1ccccc1O']; [0.8137326836585999]
 Cc1ccc(C(=O)NCCO)cc1-c1nc2cccc(O)c2[nH]1; [None]; [None]; [0]
-Oc1ccc(-c2ccc(-c3coc4ccccc34)cc2)c(O)c1; [None]; [None]; [0]
-c1ccc2c(-c3cnn4ncccc34)coc2c1; [None]; [None]; [0]
-Cc1n[nH]c2cc(N(C)c3coc4ccccc34)ccc12; [None]; [None]; [0]
-Oc1cc(-c2coc3ccccc23)nc2ccnn12; [None]; [None]; [0]
-Cc1oc(-c2coc3ccccc23)cc1C(=O)[O-]; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)c1coc2ccccc12; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2-c2coc3ccccc23)cc1; [None]; [None]; [0]
-O=c1c2c(F)cccc2cnn1-c1coc2ccccc12; [None]; [None]; [0]
-Cc1c(-c2coc3ccccc23)sc(=O)n1C; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2coc3ccccc23)o1; [None]; [None]; [0]
-CN1c2ccc(-c3coc4ccccc34)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2coc3ccccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
-c1ccc2c(CCc3c[nH]nn3)coc2c1; [None]; [None]; [0]
-CC(C)n1cc(-c2coc3ccccc23)nn1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1coc2ccccc12; [None]; [None]; [0]
-O=C(Nc1coc2ccccc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-CC(C)(COc1coc2ccccc12)S(C)(=O)=O; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2coc3ccccc23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1coc2ccccc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-O=c1[nH]cc(Br)c2sc(-c3coc4ccccc34)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2coc3ccccc23)cc1; [None]; [None]; [0]
-C[C@H](Nc1coc2ccccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-CN(c1coc2ccccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2coc3ccccc23)n1; [None]; [None]; [0]
-O=S(=O)(Cc1coc2ccccc12)NCc1ccccn1; [None]; [None]; [0]
-c1ccc(-c2ccc3nnc(Cc4coc5ccccc45)n3n2)cc1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1coc2ccccc12; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3coc4ccccc34)nc2NC1=O; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2coc3ccccc23)c(F)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3coc4ccccc34)c2)cc1; [None]; [None]; [0]
-c1cc(-c2coc3ccccc23)c2snnc2c1; [None]; [None]; [0]
-COc1ccc(Oc2coc3ccccc23)c(F)c1F; [None]; [None]; [0]
-O=C(Nc1cccc(-c2coc3ccccc23)c1)C1CCNCC1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2coc3ccccc23)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2nc3cccc(O)c3[nH]2)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc(O)c(C)c1; ['CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Cl', 'CCOc1ccccc1[Mg]Br', 'CCOc1ccccc1[Mg]Br']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1ccccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O']; [0.9999445676803589, 0.9997548460960388, 0.9997255802154541, 0.9993473291397095, 0.9977845549583435, 0.9965920448303223, 0.9949942827224731, 0.9852492809295654, 0.9835892915725708, 0.9820572137832642, 0.9243587255477905, 0.8522424697875977]
+CCn1cc(-c2ccc(O)c(C)c2)cn1; ['CCn1cc(I)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(I)cn1', 'CCn1cc(Br)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(Cl)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(B(O)O)cn1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O']; [0.9999450445175171, 0.9999440908432007, 0.9999237060546875, 0.9998831152915955, 0.9997475743293762, 0.9997196197509766, 0.999352216720581, 0.9977353811264038, 0.9973012208938599, 0.9941649436950684]
+Cc1cc(-c2ccccc2S(=O)(=O)C(C)C)ccc1O; ['CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1ccccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1ccccc1O']; [0.9999951124191284, 0.9998947381973267, 0.9998595714569092, 0.9994738101959229, 0.9988152384757996, 0.9976478219032288, 0.9848943948745728, 0.8453173637390137, 0.7739636301994324]
+Cc1cc(-c2ccccc2P(C)(C)=O)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2ccnc3ccccc23)ccc1O; ['Brc1ccnc2ccccc12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Brc1ccnc2ccccc12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Brc1ccnc2ccccc12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1ccnc2ccccc12', 'Cc1cc(B(O)O)ccc1O', 'Clc1ccnc2ccccc12', 'Ic1ccnc2ccccc12', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'OB(O)c1ccnc2ccccc12', 'Clc1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12', 'Cc1cc(Br)ccc1O']; [0.9999791979789734, 0.9998940229415894, 0.999508261680603, 0.9995079040527344, 0.9991644620895386, 0.9990078210830688, 0.9989984631538391, 0.9843008518218994, 0.9688175320625305, 0.8846530914306641, 0.8110551238059998]
+Cc1nnc(-c2ccccc2-c2ccc(O)c(C)c2)[nH]1; [None]; [None]; [0]
+Cc1cc(Cc2cc(F)cc(F)c2)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1ccccc1O', 'Cc1ccccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O']; ['Fc1cc(F)cc(CBr)c1', 'Fc1cc(F)cc(CBr)c1', 'Fc1cc(F)cc(CCl)c1', 'OCc1cc(F)cc(F)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1', 'Fc1cc(F)cc(CBr)c1', 'Fc1cc(F)cc(CCl)c1', 'O=Cc1cc(F)cc(F)c1']; [0.9993221759796143, 0.9984017610549927, 0.9948554039001465, 0.9883147478103638, 0.9622700214385986, 0.9619412422180176, 0.9328843355178833, 0.8140442371368408]
+Cc1cc(-c2ccccc2C(N)=O)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1ccccc1O', 'Cc1ccccc1O']; ['NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1B(O)O', 'Cc1cc(I)ccc1O', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1B(O)O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Cl', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br']; [0.9999902248382568, 0.9999730587005615, 0.9999561309814453, 0.999939501285553, 0.9998648166656494, 0.9997718334197998, 0.9997128248214722, 0.9996151924133301, 0.9995545148849487, 0.9993449449539185, 0.9992802143096924, 0.9962616562843323, 0.9941103458404541, 0.9936012029647827, 0.9292099475860596]
+Cc1cc(-c2ccccc2OC(F)(F)F)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O', 'Cc1c(O)cccc1C=O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O', 'Cc1cc(I)ccc1O', 'Cc1c(O)cccc1C(=O)O']; ['FC(F)(F)Oc1ccccc1Br', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'FC(F)(F)Oc1ccccc1I', 'Cc1cc(Cl)ccc1O', 'OB(O)c1ccccc1OC(F)(F)F', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Cl', 'FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccccc1OC(F)(F)F', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Cl', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1[Mg]Br', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1[Mg]Br', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1cccc(Cl)c1', 'FC(F)(F)Oc1ccccc1', 'FC(F)(F)Oc1ccccc1I']; [0.9999760985374451, 0.9998977184295654, 0.9998934864997864, 0.9998775124549866, 0.99985671043396, 0.9998315572738647, 0.9996272325515747, 0.9995879530906677, 0.9995731115341187, 0.9991563558578491, 0.9989337921142578, 0.9970012307167053, 0.9939088821411133, 0.9910984039306641, 0.9874412417411804, 0.9682761430740356, 0.9622772336006165, 0.9529449343681335, 0.9333891868591309, 0.9319822788238525, 0.9209733009338379, 0.8822625875473022, 0.8554732799530029, 0.8037122488021851, 0.7683959007263184]
+Cc1cc(-c2cccc(C(F)(F)F)c2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2ccc3ncn(C)c(=O)c3c2)ccc1O; ['Cc1cc(B(O)O)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9972479939460754, 0.996756374835968]
+Cc1cc(-c2ccccc2C(=O)[O-])ccc1O; [None]; [None]; [0]
+Cc1cc(-c2cnn(Cc3ccccc3)c2)ccc1O; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Brc1cnn(Cc2ccccc2)c1', 'Cc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Cc1cc(I)ccc1O', 'Brc1cnn(Cc2ccccc2)c1', 'Cc1cc(Br)ccc1O']; ['Cc1cc(Br)ccc1O', 'Ic1cnn(Cc2ccccc2)c1', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1cnn(Cc2ccccc2)c1', 'Cc1cc(I)ccc1O', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Cc1cc(B(O)O)ccc1O', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999114274978638, 0.9998334646224976, 0.9998029470443726, 0.9997931122779846, 0.9996597170829773, 0.999406099319458, 0.9992641806602478, 0.9970743656158447]
+Cc1cc(-c2cnc(-c3ccccc3)[nH]2)ccc1O; [None]; [None]; [0]
+COc1cnc(-c2ccc(O)c(C)c2)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(Cl)nc1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O']; [0.9998465776443481, 0.998967170715332]
+Cc1cc(-c2cccc(NC(=O)c3ccccc3)c2)ccc1O; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O']; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999651908874512, 0.9999401569366455, 0.9996902942657471, 0.9996112585067749, 0.9987117052078247]
+Cc1cc(OCC(=O)C(C)C)ccc1O; ['CC(C)C(=O)CCl', 'CC(C)C(=O)CBr']; ['Cc1cc(O)ccc1O', 'Cc1cc(O)ccc1O']; [0.9871724843978882, 0.9633437395095825]
+Cc1cc(-c2csc(C(C)(C)C)n2)ccc1O; [None]; [None]; [0]
+Cc1ccc(-c2ccc(O)c(C)c2)c(Br)c1; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1ccc(-c2ccc(O)c(C)c2)cc1', 'Cc1cc(I)ccc1O', 'Cc1c(O)cccc1C(=O)O', 'Cc1cc(Br)ccc1O', None, 'Cc1cc(I)ccc1O', 'Cc1ccc(C(=O)O)cc1O']; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'O=C1CCC(=O)N1Br', 'Cc1ccc(Br)c(Br)c1', 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', None, 'Cc1ccc(I)c(Br)c1', 'Cc1ccc(I)c(Br)c1']; [0.9997693300247192, 0.9997556805610657, 0.999730110168457, 0.9982202053070068, 0.9916554689407349, 0.9253025054931641, 0.9025734663009644, 0.8909975290298462, 0.8882919549942017, 0, 0.8467085361480713, 0.8258876204490662]
+Cc1cc(-c2cc(Cl)ccc2Cl)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1ccc(C(=O)O)cc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(F)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1ccccc1O']; ['Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(I)c1', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(Cl)c1', 'Cc1cc(Cl)ccc1O', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c([Mg]Br)c1', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c([Mg]Br)c1', 'Clc1ccc(Cl)c(Cl)c1', 'Clc1ccc(Cl)c([Mg]Br)c1', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c([Mg]Br)c1', 'O=C(O)c1cc(Cl)ccc1Cl', 'Clc1ccc(Cl)c(I)c1']; [0.9999972581863403, 0.9999964833259583, 0.9999479651451111, 0.9998549222946167, 0.9996699690818787, 0.9996553659439087, 0.9996480345726013, 0.9995850324630737, 0.9995696544647217, 0.9992583394050598, 0.9986616373062134, 0.9984285235404968, 0.9971449375152588, 0.992393970489502, 0.991166889667511, 0.9856916069984436, 0.9789770841598511, 0.9728362560272217, 0.9721190929412842, 0.9419286251068115, 0.9101951122283936, 0.9101150035858154, 0.8679449558258057]
+Cc1cc(-c2cnn(CCO)c2)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O']; ['OCCn1cc(I)cn1', 'Cc1cc(Br)ccc1O', 'OCCn1cc(Br)cn1', 'Cc1cc(I)ccc1O', 'OCCn1cc(I)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1', 'OCCn1cc(Cl)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1']; [0.9999890923500061, 0.99997878074646, 0.9999738931655884, 0.9999641180038452, 0.9999639391899109, 0.999922513961792, 0.9998127818107605, 0.9997812509536743, 0.9989421367645264, 0.9945248961448669, 0.9797473549842834]
+Cc1cc(-c2cnc3ccccn23)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Brc1cnc2ccccn12', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Brc1cnc2ccccn12', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1ccccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Cl)ccc1O']; ['Ic1cnc2ccccn12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'Cc1cc(B(O)O)ccc1O', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999997615814209, 0.9999951124191284, 0.9999924898147583, 0.9999896883964539, 0.9999827742576599, 0.9999563694000244, 0.9999555349349976, 0.9996297359466553, 0.9992887377738953, 0.9891579151153564, 0.9827263355255127, 0.8780488967895508]
+Cc1cc(-c2c(C)nc3ccccn23)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1ccccc1O']; ['Cc1nc2ccccn2c1Br', 'Cc1nc2ccccn2c1I', 'Cc1nc2ccccn2c1Br', 'Cc1cn2ccccc2n1', 'Cc1cn2ccccc2n1']; [0.9999862909317017, 0.999948263168335, 0.9998855590820312, 0.9989994764328003, 0.9717888832092285]
+Cc1cc(-c2sc(N)nc2C)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O']; ['Cc1nc(N)sc1Br', 'Cc1nc(N)sc1Br']; [0.9999958276748657, 0.9999529123306274]
+Cc1nc(C)c(-c2ccc(O)c(C)c2)s1; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; ['Cc1nc(C)c(Br)s1', 'Cc1nc(C)c(Br)s1', 'Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1']; [0.9999252557754517, 0.9996217489242554, 0.9978841543197632, 0.8965415358543396]
+Cc1cc(-c2cnc3cccnn23)ccc1O; ['Brc1cnc2cccnn12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Brc1cnc2cccnn12', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Clc1cnc2cccnn12', 'Cc1cc(B(O)O)ccc1O', 'Clc1cnc2cccnn12', 'c1cnn2ccnc2c1']; [0.9999997615814209, 0.9999988079071045, 0.9999970197677612, 0.9999881982803345, 0.9352864623069763]
+Cc1cc(-c2c(Cl)cccc2Cl)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O']; ['Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999858736991882, 0.9999605417251587, 0.9995487928390503, 0.9989252686500549, 0.9983394742012024, 0.9979262351989746, 0.9920171499252319, 0.9913195371627808, 0.9850322604179382, 0.8996504545211792, 0.8955824971199036, 0.860729992389679]
+Cc1cc(NCc2cccnc2)ccc1O; ['Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'BrCc1cccnc1', 'Cc1cc(Br)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(F)ccc1O', 'Cc1cc(Cl)ccc1O', 'CN(C)Cc1cccnc1', 'Cc1cc(I)ccc1O', 'Cc1cc(O)ccc1O']; ['OCc1cccnc1', 'ClCc1cccnc1', 'Cc1cc(N)ccc1O', 'NCc1cccnc1', 'O=Cc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'Cc1cc(N)ccc1O', 'NCc1cccnc1', 'NCc1cccnc1']; [0.9983357191085815, 0.9981583952903748, 0.995393693447113, 0.987117350101471, 0.9594675302505493, 0.934013843536377, 0.8683768510818481, 0.8616088032722473, 0.8347659111022949, 0.8027203679084778]
+Cc1ccc(Cl)c(-c2ccc(O)c(C)c2)c1; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccc(C(=O)O)cc1O', 'Cc1cc(I)ccc1O']; ['Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Cc1ccc(Cl)c(Br)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c([Mg]Br)c1', 'Cc1ccc(Cl)c(Cl)c1', 'Cc1ccc(Cl)c([Mg]Br)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1']; [0.9999731183052063, 0.9999430179595947, 0.9993232488632202, 0.9989783763885498, 0.9982231855392456, 0.99755859375, 0.9959268569946289, 0.9956169128417969, 0.9910587668418884, 0.9858657121658325, 0.9636738300323486, 0.9515540599822998, 0.9261376261711121, 0.8941577672958374, 0.8568726778030396, 0.8549808859825134]
+Cc1cc(-c2ccnc(N)n2)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O']; ['Nc1nccc(Cl)n1', 'Nc1nccc(Cl)n1']; [0.9999608993530273, 0.9981551170349121]
+CNc1nc(C)c(-c2ccc(O)c(C)c2)s1; [None]; [None]; [0]
+Cc1cc(-c2cccc(Cn3cncn3)c2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2cccc(Br)c2)ccc1O; ['Brc1cccc(I)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Brc1cccc(Br)c1', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Cc1cc(I)ccc1O', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Brc1cccc(Br)c1', 'Br[Mg]c1cccc(Br)c1', 'Cc1ccccc1O', 'Brc1cccc(I)c1', 'Brc1cccc(I)c1', None, 'Br[Mg]c1cccc(Br)c1', 'Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'Cc1cc(Br)ccc1O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Clc1cccc(Br)c1', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'OB(O)c1cccc(Br)c1', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Clc1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'F[B-](F)(F)c1cccc(Br)c1', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'OB(O)c1cccc(Br)c1', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', None, 'Cc1cc(Br)ccc1O', 'Cc1c(O)cccc1C(=O)O', 'Cc1ccc(C(=O)O)cc1O', 'F[B-](F)(F)c1cccc(Br)c1']; [0.9999785423278809, 0.9999256134033203, 0.9998922348022461, 0.9998549222946167, 0.9996362924575806, 0.9994359016418457, 0.999375581741333, 0.9993734955787659, 0.997779369354248, 0.9936434030532837, 0.9896866679191589, 0.9827644228935242, 0.9797239899635315, 0.9644529819488525, 0.949316143989563, 0.9422082901000977, 0.8832446932792664, 0.8761530518531799, 0, 0.842860758304596, 0.8110393285751343, 0.7744463086128235, 0.7700916528701782]
 Cc1cc(-n2ncc3cccc(F)c3c2=O)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2cnn3ncccc23)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2cnn3ncccc23)ccc1O; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O']; [0.9999815225601196, 0.9996984004974365]
+Cc1cc(NC(=O)c2cccs2)ccc1O; ['Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'COC(=O)c1cccs1', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; ['O=C(O)c1cccs1', 'O=C(Cl)c1cccs1', 'NC(=O)c1cccs1', 'Cc1cc(N)ccc1O', 'NC(=O)c1cccs1', 'NC(=O)c1cccs1']; [0.999958336353302, 0.9999451637268066, 0.9986427426338196, 0.9983713030815125, 0.9768013954162598, 0.9512699246406555]
+Cc1cc(Nc2cccnc2)ccc1O; ['Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Brc1cccnc1', 'Cc1cc(Cl)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(I)ccc1O']; ['Nc1cccnc1', 'Nc1cccnc1', 'OB(O)c1cccnc1', 'Clc1cccnc1', 'Cc1cc(N)ccc1O', 'Nc1cccnc1', 'Ic1cccnc1', 'Nc1cccnc1']; [0.9995307326316833, 0.999367356300354, 0.9969744682312012, 0.9902730584144592, 0.9899411797523499, 0.9832029938697815, 0.9584407806396484, 0.8747498393058777]
+Cc1cc(NCCc2c[nH]cn2)ccc1O; ['Cc1cc(F)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(O)ccc1O', 'Cc1cc(Cl)ccc1O']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.991902232170105, 0.9806767106056213, 0.9681118726730347, 0.9017127752304077]
+Cc1cc(-n2cnc3ccccc32)ccc1O; ['Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(F)ccc1O', 'Cc1cc(I)ccc1O']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9911775588989258, 0.9886376857757568, 0.953581690788269, 0.8923652768135071]
+Cc1cc(NCCc2ccccc2)ccc1O; ['Cc1cc(N)ccc1O', 'BrCCc1ccccc1', 'Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'CS(=O)(=O)OCCc1ccccc1', 'Cc1cc(Br)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(F)ccc1O']; ['ClCCc1ccccc1', 'Cc1cc(N)ccc1O', 'ICCc1ccccc1', 'O=CCc1ccccc1', 'Cc1cc(N)ccc1O', 'NCCc1ccccc1', 'Cc1ccc(S(=O)(=O)OCCc2ccccc2)cc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; [0.9963750839233398, 0.9815471768379211, 0.9754372835159302, 0.9599219560623169, 0.9475781917572021, 0.9362617135047913, 0.9296271800994873, 0.8793600797653198, 0.8530521392822266, 0.8212611675262451]
+Cc1cc(-c2cccc(F)c2C(N)=O)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O']; ['NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl', 'NC(=O)c1c(F)cccc1Br', 'NC(=O)c1c(F)cccc1Cl']; [0.9999983310699463, 0.9999908208847046, 0.9999189376831055, 0.9995651245117188]
+Cc1cc(-c2c[nH]nc2C(F)(F)F)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O']; ['FC(F)(F)c1n[nH]cc1I', 'FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1I', 'FC(F)(F)c1n[nH]cc1Br', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'FC(F)(F)c1cc[nH]n1', 'FC(F)(F)c1cc[nH]n1', 'FC(F)(F)c1n[nH]cc1I']; [0.9999900460243225, 0.9999879598617554, 0.9999345541000366, 0.9996161460876465, 0.9980877637863159, 0.9972742795944214, 0.9834134578704834, 0.9546087980270386, 0.8650941848754883]
 Cc1cc(-c2sc(=O)n(C)c2C)ccc1O; [None]; [None]; [0]
-Cc1cc(Cc2ncc(C(C)(C)C)o2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2ccc3ccccc3c2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2cncc3ccccc23)ccc1O; ['Brc1cncc2ccccc12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Cc1cc(B(O)O)ccc1O', 'Brc1cncc2ccccc12', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Br[Zn]c1cncc2ccccc12', 'Cc1cc(B(O)O)ccc1O', 'Brc1cncc2ccccc12', 'Cc1cc(Cl)ccc1O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1cncc2ccccc12', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Ic1cncc2ccccc12', 'Cc1cc(B(O)O)ccc1O', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Cc1cc(I)ccc1O', 'Clc1cncc2ccccc12', 'Cc1cc(Br)ccc1O', 'OB(O)c1cncc2ccccc12']; [0.9999927282333374, 0.9999899864196777, 0.9999654293060303, 0.9999653100967407, 0.9999243021011353, 0.9998790621757507, 0.9996765851974487, 0.9994158148765564, 0.9954941272735596, 0.9916503429412842, 0.9573264718055725, 0.9548517465591431]
+Cc1cc(NCc2ccc(Cl)cc2)ccc1O; ['Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(I)ccc1O']; ['Clc1ccc(CBr)cc1', 'ClCc1ccc(Cl)cc1', 'OCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; [0.9996880292892456, 0.9992910623550415, 0.9990725517272949, 0.9506396651268005, 0.9299852252006531, 0.9119614362716675]
+Cc1cc(-c2cccc(CC(=O)[O-])c2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(N)[nH]nc3c2)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O']; ['Nc1[nH]nc2cc(Br)ccc12', 'Nc1[nH]nc2cc(Br)ccc12']; [0.9999767541885376, 0.9987922310829163]
+Cc1cc(-c2ccc(-c3cnn(C)c3)cc2)ccc1O; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(-c2ccc(Cl)cc2)ccc1O']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(B(O)O)cn1']; [0.9999911785125732, 0.9999703168869019, 0.9999577403068542, 0.9963710308074951, 0.9657292366027832]
 Cc1cc(-c2ccc3c(c2)CS(=O)(=O)N3C)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(cnn3C)c2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2ccc(-c3cn[nH]c3)cc2)ccc1O; [None]; [None]; [0]
+Cc1cc(NCc2ccccc2F)ccc1O; ['Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(I)ccc1O']; ['Fc1ccccc1CBr', 'Fc1ccccc1CCl', 'OCc1ccccc1F', 'O=Cc1ccccc1F', 'NCc1ccccc1F']; [0.9996718168258667, 0.9993630647659302, 0.9971297979354858, 0.9880046844482422, 0.9030030965805054]
+Cc1cc(Nc2ccncc2)ccc1O; ['Cc1cc(N)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Brc1ccncc1', 'Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(F)ccc1O']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'c1cc[n+](-c2ccncc2)cc1', 'Clc1ccncc1', 'Cc1cc(N)ccc1O', 'Ic1ccncc1', 'Oc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1']; [0.9999023675918579, 0.9986127018928528, 0.9936686754226685, 0.9849975109100342, 0.9847310781478882, 0.9785386323928833, 0.9761919975280762, 0.8929069638252258, 0.8884686231613159, 0.8818666338920593, 0.8812952041625977]
+Cc1cc(-c2cn(C(C)C)nn2)ccc1O; ['CC(C)n1ccnn1', 'CC(C)n1ccnn1']; ['Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O']; [0.9998338222503662, 0.9996052384376526]
+CCCn1cnc(-c2ccc(O)c(C)c2)n1; [None]; [None]; [0]
+Cc1cc(-c2cccc(CO)c2)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', None, None, 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', None]; ['OCc1cccc(Br)c1', 'Cc1cc(Br)ccc1O', 'OCc1cccc(I)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', None, None, 'OCc1cccc(I)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(Cl)c1', None]; [0.9999476671218872, 0.9999353885650635, 0.9988681077957153, 0.9978611469268799, 0.9954288005828857, 0.9947757720947266, 0.9847816228866577, 0, 0, 0.9549422264099121, 0.9538182020187378, 0.932133674621582, 0]
+Cc1cc(-c2cccc(O)c2)ccc1O; [None]; [None]; [0]
 COc1cc(-c2ccc(O)c(C)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-Cc1cc(-c2cn(C(C)C)nn2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2csc(N)n2)ccc1O; ['CC(=O)c1ccc(O)c(C)c1', None]; ['NC(N)=S', None]; [0.9999966621398926, 0]
+Cc1cc(-c2csc3ncncc23)ccc1O; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O']; [0.9999804496765137, 0.9998961687088013]
+CSc1nc(-c2ccc(O)c(C)c2)c[nH]1; [None]; [None]; [0]
+Cc1cc(-c2cc3ccccc3[nH]2)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', None, 'CC(=O)c1ccc(O)c(C)c1', 'Cc1ccccc1O']; ['Clc1cc2ccccc2[nH]1', None, 'NNc1ccccc1', 'O=C1Cc2ccccc2N1']; [0.999180793762207, 0, 0.9130962491035461, 0.7544732093811035]
+Cc1cc(-c2cncnc2N)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O']; ['Nc1ncncc1I', 'Nc1ncncc1Br', 'Nc1ncncc1I', 'Nc1ncncc1Br']; [0.9999977350234985, 0.9999857544898987, 0.9999538660049438, 0.9997637271881104]
 Cc1cc(CCc2c[nH]nn2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2cccc(CCC#N)c2)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O']; ['N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(B(O)O)c1']; [0.9996737241744995, 0.9988949298858643, 0.998886227607727, 0.9987788200378418]
+CCC(=O)Nc1ccc(-c2ccc(O)c(C)c2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O']; [0.9999597072601318, 0.9998980760574341, 0.9995378255844116]
+CCNc1nc2ccc(-c3ccc(O)c(C)c3)cc2s1; [None]; [None]; [0]
+Cc1cc(-c2ccc(F)cc2C(F)(F)F)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(F)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccc(C(=O)O)cc1O']; ['Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc([Mg]Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1']; [0.9999982118606567, 0.9999630451202393, 0.9999428987503052, 0.9998148083686829, 0.9998058080673218, 0.9996770024299622, 0.9991266131401062, 0.9990120530128479, 0.9986460208892822, 0.9982969760894775, 0.9960023164749146, 0.995789110660553, 0.9923962354660034, 0.957561731338501, 0.9546304941177368, 0.9510204792022705, 0.9508923292160034, 0.919752299785614, 0.9117432832717896, 0.7955750226974487]
+Cc1cc(Oc2ccccn2)ccc1O; ['Cc1cc(O)ccc1O', 'Cc1cc(O)ccc1O', 'Brc1ccccn1', 'Cc1cc(B(O)O)ccc1O']; ['Clc1ccccn1', 'Fc1ccccn1', 'Cc1cc(O)ccc1O', 'Oc1ccccn1']; [0.9981194734573364, 0.95149827003479, 0.7825262546539307, 0.761406421661377]
+Cc1cc(-c2cnoc2C(C)C)ccc1O; [None]; [None]; [0]
+Cc1cc(NC(=O)c2c(Cl)cccc2Cl)ccc1O; ['Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', None, 'COC(=O)c1c(Cl)cccc1Cl', 'Cc1cc(Br)ccc1O', 'Cc1cc([N+](=O)[O-])ccc1O']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', None, 'Cc1cc(N)ccc1O', 'NC(=O)c1c(Cl)cccc1Cl', 'O=C(Cl)c1c(Cl)cccc1Cl']; [0.9993379712104797, 0.9987590909004211, 0, 0.9653507471084595, 0.9469760656356812, 0.7813129425048828]
+CC(=O)Nc1cccc(-c2ccc(O)c(C)c2)c1; ['CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc([B-](F)(F)F)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1ccccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Br)ccc1O']; [0.9999802112579346, 0.9999786615371704, 0.9999474287033081, 0.9999237060546875, 0.9997521638870239, 0.9996548891067505, 0.9993094205856323, 0.9992163181304932, 0.998982310295105, 0.9976193904876709, 0.9856238961219788, 0.9387710690498352, 0.9199628829956055]
+Cc1cc(CCCC(N)=O)ccc1O; [None]; [None]; [0]
 Cc1cc(CCNC(=O)CC(C)(C)O)ccc1O; [None]; [None]; [0]
-Cc1cc(NC(=O)c2c(Cl)cccc2Cl)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)ccc1O; [None]; [None]; [0]
-Cc1cc(O[C@H](C)c2c(Cl)cncc2Cl)ccc1O; [None]; [None]; [0]
+Cc1cc(N2CCC(S(C)(=O)=O)CC2)ccc1O; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Cc1cc(I)ccc1O', 'Cc1ccc(Br)cc1O', 'Cc1cc(Br)ccc1O', 'Cc1c(O)cccc1Br', 'Cc1cc(F)ccc1O']; [0.9823874235153198, 0.9696110486984253, 0.9052165746688843, 0.879298746585846, 0.8285702466964722]
+COc1ccc(-c2ccc(O)c(C)c2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(Cl)cc1Cl', 'COc1ccc([Mg]Br)cc1Cl', 'COc1ccc([Mg]Br)cc1Cl', 'COc1ccccc1Cl', 'COc1ccccc1Cl']; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(Br)ccc1O']; [0.9999841451644897, 0.9999775886535645, 0.9999672174453735, 0.9999593496322632, 0.9998852014541626, 0.9996193647384644, 0.9995992183685303, 0.9993892908096313, 0.9988638758659363, 0.9977167844772339, 0.9959900379180908, 0.9908742308616638, 0.9891304969787598, 0.9878764152526855, 0.9800626039505005, 0.9427658915519714, 0.8514112234115601, 0.7565193176269531]
+Cc1cc(-c2cn(C)c3ccccc23)ccc1O; [None]; [None]; [0]
+CCCn1cc(-c2ccc(O)c(C)c2)cn1; ['CCCn1cc(Br)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(I)cn1', 'CCCn1cc(Br)cn1', 'CCCn1cc(Cl)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cccn1', 'CCCn1cc(B(O)O)cn1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Cl)ccc1O']; [0.9999908208847046, 0.9999901056289673, 0.9999879598617554, 0.9999641180038452, 0.9999165534973145, 0.9999023079872131, 0.9998124241828918, 0.9998050928115845, 0.9992181062698364, 0.99869304895401, 0.9980610609054565]
+Cc1cc(-c2cnn3ccccc23)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Brc1cnn2ccccc12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Brc1cnn2ccccc12', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1ccccc1O']; ['Ic1cnn2ccccc12', 'Ic1cnn2ccccc12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'OB(O)c1cnn2ccccc12', 'c1ccn2nccc2c1', 'Clc1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'OB(O)c1cnn2ccccc12', 'Ic1cnn2ccccc12']; [0.999998927116394, 0.9999874830245972, 0.9999815225601196, 0.9999763369560242, 0.9999659657478333, 0.9999326467514038, 0.9998631477355957, 0.9996779561042786, 0.9994429349899292, 0.9992594718933105, 0.9975656867027283, 0.9257092475891113]
+Cc1cc(-c2cc[nH]c(=O)c2)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O']; ['O=c1cc(Br)cc[nH]1', 'Cc1cc(Br)ccc1O', 'O=c1cc(Br)cc[nH]1', 'O=c1cc(Cl)cc[nH]1']; [0.9997431039810181, 0.9992510080337524, 0.9907822608947754, 0.9295185804367065]
+Cc1cc(-c2ccc(C(C)(C)N)cc2)ccc1O; ['CC(C)(N)c1ccc(Cl)cc1', 'CC(C)(N)c1ccc(Br)cc1', None]; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', None]; [0.9989818930625916, 0.9985872507095337, 0]
 Cc1cc(OCC(C)(C)S(C)(=O)=O)ccc1O; [None]; [None]; [0]
-Cc1cc(Nc2cnccc2-c2ccccc2)ccc1O; [None]; [None]; [0]
+COc1cc(CCc2ccc(O)c(C)c2)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1']; ['Cc1cc(I)ccc1O']; [0.9195798635482788]
+Cc1cc(-c2cccc3c2C(=O)CC3)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; ['O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Cl)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21']; [0.9999939203262329, 0.9999609589576721, 0.9997707605361938, 0.9993888735771179, 0.997319221496582, 0.8369342684745789]
+Cc1cc(-c2ccc([S@](C)=O)cc2)ccc1O; ['CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(Br)cc1']; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O']; [0.9972261786460876, 0.9863650798797607, 0.8965867757797241]
+CCNS(=O)(=O)c1ccccc1-c1ccc(O)c(C)c1; ['CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1', 'CCNS(=O)(=O)c1ccccc1Br', 'CCNS(=O)(=O)c1ccccc1', 'CCNS(=O)(=O)c1ccccc1Br']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; [0.9999574422836304, 0.9978580474853516, 0.9960248470306396, 0.9953345060348511, 0.8601083755493164, 0.8104678988456726]
+Cc1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)ccc1O; [None]; [None]; [0]
+Cc1cc(O[C@H](C)c2c(Cl)cncc2Cl)ccc1O; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Cc1cc(I)ccc1O', 'Cc1cc(O)ccc1O', 'Cc1cc(F)ccc1O']; [0.9827390313148499, 0.7887982130050659, 0.7874025106430054]
+CCN(CC)c1ccc(O)c(C)c1; [None, None, None, None, None, None, None, None, None, 'CCN(CC)c1ccc(N)c(C)c1', 'CCNCC', 'CCNCC', 'CCNCC']; [None, None, None, None, None, None, None, None, None, 'O=S(=O)(O)O', 'Cc1cc(Br)ccc1O', 'Cc1ccc(Br)cc1O', 'Cc1cc(I)ccc1O']; [0, 0, 0, 0, 0, 0, 0, 0, 0, 0.873112678527832, 0.8544659614562988, 0.8432741165161133, 0.8417471051216125]
+COc1ccncc1Nc1ccc(O)c(C)c1; ['COc1ccncc1Cl', 'COc1ccncc1Br', 'COc1ccncc1N', 'COc1ccncc1B(O)O', 'COc1ccncc1N', 'COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1N', 'COc1ccncc1F', 'COc1ccncc1N']; ['Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(F)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(I)ccc1O']; [0.9997808337211609, 0.999775767326355, 0.9997690916061401, 0.9995523691177368, 0.9991862773895264, 0.9991719722747803, 0.9980649948120117, 0.9952342510223389, 0.9951736330986023, 0.9942196607589722]
+Cc1cc(-c2cncc(OC(C)C)c2)ccc1O; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O']; [0.9999874830245972, 0.9999865293502808, 0.9999810457229614, 0.9998141527175903, 0.9998133182525635, 0.9993023872375488]
+Cc1cc(Nc2cnccc2-c2ccccc2)ccc1O; ['Cc1cc(B(O)O)ccc1O', 'Brc1cnccc1-c1ccccc1', 'Cc1cc(Br)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(F)ccc1O']; ['Nc1cnccc1-c1ccccc1', 'Cc1cc(N)ccc1O', 'Nc1cnccc1-c1ccccc1', 'OB(O)c1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [0.999854564666748, 0.9998071789741516, 0.9997751712799072, 0.9993594884872437, 0.998196005821228, 0.9974075555801392, 0.96848064661026]
+Cc1cc(-c2cc3c(=O)[nH]ccc3o2)ccc1O; [None]; [None]; [0]
+Cc1cc(Nc2cnc3ccccc3c2)ccc1O; ['Cc1cc(N)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(Br)ccc1O', 'Brc1cnc2ccccc2c1', 'Cc1cc(Cl)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(F)ccc1O']; ['OB(O)c1cnc2ccccc2c1', 'Clc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Cc1cc(N)ccc1O', 'Nc1cnc2ccccc2c1', 'Fc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; [0.9992082118988037, 0.998432993888855, 0.9980542659759521, 0.9966366291046143, 0.9937021136283875, 0.9933203458786011, 0.9933195114135742, 0.9779039621353149, 0.9767964482307434, 0.9441386461257935]
+Cc1cc(-c2c[nH]c3cnccc23)ccc1O; ['Brc1c[nH]c2cnccc12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Brc1c[nH]c2cnccc12', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1c[nH]c2cnccc12', 'Cc1cc(B(O)O)ccc1O', 'Ic1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9999909400939941, 0.9999057054519653, 0.9972431659698486, 0.9953403472900391, 0.9033889770507812]
 Cc1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2cnc3[nH]ccc3c2)ccc1O; ['Brc1cnc2[nH]ccc2c1', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Brc1cnc2[nH]ccc2c1', 'Cc1cc(Br)ccc1O', 'Brc1cnc2[nH]ccc2c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Ic1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1', 'Cc1cc(B(O)O)ccc1O', 'OB(O)c1cnc2[nH]ccc2c1', 'Cc1cc(Br)ccc1O']; [0.9999952912330627, 0.9999702572822571, 0.9999409914016724, 0.9999250173568726, 0.9998823404312134, 0.9998607635498047, 0.9997884035110474, 0.9996410608291626, 0.9989714622497559, 0.9891188144683838]
+Cc1cc(-c2ccc(C(C)(C)C)cc2)ccc1O; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc([Mg]Br)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc([B-](F)(F)F)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc([Mg]Br)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc([Mg]Br)cc1', 'CC(C)(C)c1ccc([B-](F)(F)F)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccccc1', 'CC(C)(C)c1ccccc1', 'CC(C)(C)Cl', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CC(C)(C)c1ccc(OS(=O)(=O)C(F)(F)F)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Cl)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1ccc(Cl)cc1O', 'Cc1cc(-c2ccccc2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccc(C(=O)O)cc1O', 'Cc1c(O)cccc1C=O']; [0.9999731183052063, 0.9999483823776245, 0.9998763799667358, 0.9998570084571838, 0.9998060464859009, 0.9997080564498901, 0.9991480708122253, 0.9984747171401978, 0.998352587223053, 0.9981750249862671, 0.996637225151062, 0.9960256814956665, 0.9959604144096375, 0.9953818321228027, 0.9930190443992615, 0.9922442436218262, 0.9860934615135193, 0.9854416251182556, 0.9853734374046326, 0.9826135039329529, 0.9777510762214661, 0.9736003279685974, 0.9717041254043579, 0.9500430822372437, 0.936484694480896, 0.8837253451347351, 0.8775278329849243, 0.8744407296180725, 0.8656750321388245, 0.8147841691970825, 0.8103971481323242, 0.7566657662391663]
+COc1cccc(F)c1-c1ccc(O)c(C)c1; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1I', 'COc1cccc(F)c1Cl', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1', 'COc1cccc(F)c1I', 'COc1cccc(F)c1N', 'COc1cccc(F)c1Cl']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1ccccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1ccccc1O', 'Cc1cc(I)ccc1O', 'Cc1ccc(C(=O)O)cc1O', 'Cc1ccccc1O', 'Cc1ccccc1O']; [0.9999983310699463, 0.9999945163726807, 0.9999934434890747, 0.999981164932251, 0.9999784231185913, 0.9999479055404663, 0.9999365210533142, 0.9998788237571716, 0.9998502731323242, 0.9998337626457214, 0.9994360208511353, 0.9993979930877686, 0.998807966709137, 0.9987916946411133, 0.9963710308074951, 0.9877123832702637, 0.9860868453979492, 0.961607038974762, 0.940558910369873, 0.935221791267395, 0.9208709001541138, 0.9161851406097412, 0.9160354733467102, 0.908257246017456, 0.7961153984069824]
+CNS(=O)(=O)c1ccc(-c2ccc(O)c(C)c2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Cl)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O']; [0.9996196031570435, 0.9990490674972534, 0.9983444213867188, 0.9981412887573242, 0.9954317808151245, 0.9927370548248291, 0.9867112636566162, 0.9866971969604492, 0.9109769463539124, 0.9083693027496338]
+CNC(=O)c1c(F)cccc1-c1ccc(O)c(C)c1; ['CNC(=O)c1ccccc1F']; ['Cc1cc(B(O)O)ccc1O']; [0.9475970268249512]
+Cc1cc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)ccc1O; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O']; [0.9999517202377319, 0.9999209642410278, 0.9997000098228455, 0.9994375705718994, 0.9993031024932861, 0.9936338663101196, 0.9927366971969604, 0.9745773077011108, 0.8841671943664551]
 Cc1cc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)ccc1O; [None]; [None]; [0]
 Cc1cc(N[C@@H](C)C(=O)NCC(F)(F)F)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2ccc(O)c(C)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Cc1cc(C2(C)CCN(S(C)(=O)=O)CC2)ccc1O; [None]; [None]; [0]
+Cc1cc(-n2ccc(CO)n2)ccc1O; ['Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O']; ['OCc1cc[nH]n1', 'OCc1cc[nH]n1', 'OCc1cc[nH]n1']; [0.9998409748077393, 0.9800980091094971, 0.959474503993988]
+Cc1cc(-c2ccc(S(C)(=O)=O)cc2)ccc1O; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(I)cc1']; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O']; [0.9999535083770752, 0.9999489784240723, 0.9999423027038574, 0.9998855590820312, 0.9998729228973389, 0.9998443126678467, 0.9997497200965881, 0.9997318983078003, 0.999035120010376, 0.9968992471694946, 0.996509313583374, 0.9942492246627808, 0.9925763607025146, 0.991623044013977, 0.9299968481063843]
+Cc1cc(N[C@@H](C)C(C)(C)O)ccc1O; ['C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; [0.9237880706787109, 0.8432942628860474]
+Cc1cc(-c2ccc(N3CCOCC3)cc2)ccc1O; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Cc1cc(I)ccc1O', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Brc1ccc(N2CCOCC2)cc1', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Brc1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1', 'Cc1cc(Br)ccc1O', 'C1COCCN1', 'Brc1ccc(N2CCOCC2)cc1', 'C1COCCN1', 'Cc1ccccc1O']; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Cc1cc(Cl)ccc1O', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1ccc(N2CCOCC2)cc1', 'Clc1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O', 'Ic1ccc(N2CCOCC2)cc1', 'Cc1cc(-c2ccc(Cl)cc2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(-c2ccc(F)cc2)ccc1O', 'Clc1ccc(N2CCOCC2)cc1']; [0.9999925494194031, 0.9999920129776001, 0.9999796748161316, 0.9999790787696838, 0.999970555305481, 0.9999659657478333, 0.9999538064002991, 0.9999402761459351, 0.9998959302902222, 0.9998908042907715, 0.9998870491981506, 0.9995774030685425, 0.9995245933532715, 0.9985357522964478, 0.9959366321563721, 0.9552555084228516, 0.8645238876342773, 0.8580271005630493, 0.8086190223693848]
+Cc1cc(N[C@H](C)C(C)(C)O)ccc1O; ['C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; [0.9237880706787109, 0.8432942628860474]
+Cc1cc(-c2c(F)cccc2Cl)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccc(C(=O)O)cc1O', 'Cc1ccccc1O']; ['Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1Br', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1I', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Fc1cccc(Cl)c1Cl', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Br']; [0.9999988079071045, 0.9999867677688599, 0.999977171421051, 0.9999603629112244, 0.9999039173126221, 0.9998926520347595, 0.9998821020126343, 0.9994809627532959, 0.9981961250305176, 0.9968519806861877, 0.9955871105194092, 0.9897363185882568, 0.9887988567352295, 0.8846243619918823, 0.7517427206039429]
+Cc1cc(-n2cnc(CCO)c2)ccc1O; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O']; ['OCCc1c[nH]cn1', 'OCCc1c[nH]cn1', 'OCCc1cnc[nH]1']; [0.993538498878479, 0.9809563159942627, 0.9669772386550903]
+Cc1cc(-c2ccc(-n3cncn3)cc2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2nc3ccc(O)cc3[nH]2)ccc1O; ['Cc1cc(C(=O)O)ccc1O', 'Cc1cc(C=O)ccc1O', 'Cc1cc(C=O)ccc1O']; ['Nc1ccc(O)cc1N', 'Nc1ccc(O)cc1N', 'Nc1cc(O)ccc1[N+](=O)[O-]']; [0.9930789470672607, 0.8680593967437744, 0.7576382756233215]
+Cc1cc(-n2ncc3ccccc32)ccc1O; ['Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(F)ccc1O']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9993922710418701, 0.9726419448852539, 0.9558091759681702, 0.7620396018028259]
+COc1ccc(-c2ccc(O)c(C)c2)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1cccc(OC)c1', 'COc1ccc(Cl)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc([Mg]Br)c(OC)c1', 'COc1ccc([Mg]Br)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1cccc(OC)c1', 'COc1ccc(Br)c(OC)c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O']; [0.9999735951423645, 0.9999426603317261, 0.9999218583106995, 0.9998611807823181, 0.9998539686203003, 0.9998434782028198, 0.9996011257171631, 0.9992974996566772, 0.9988146424293518, 0.9987868070602417, 0.998268187046051, 0.9966540336608887, 0.9958768486976624, 0.9951014518737793, 0.98860764503479, 0.9673911333084106, 0.9440404176712036, 0.93487548828125, 0.9328447580337524, 0.9253199100494385, 0.8229804039001465, 0.8148660659790039]
+Cc1cc(-n2ncc3c(O)cccc32)ccc1O; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc(O)c(C)c2)[nH]1; [None]; [None]; [0]
+Cc1cc(Cc2nnc3ccc(-c4ccccc4)nn23)ccc1O; ['Cc1cc(CC(=O)O)ccc1O']; ['NNc1ccc(-c2ccccc2)nn1']; [0.9983183145523071]
+Cc1cc(-c2ccc(C(=O)c3ccccc3)cc2)ccc1O; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc(O)c(C)c2)CC1; [None]; [None]; [0]
+CCc1cc(-c2ccc(O)c(C)c2)nc(N)n1; ['CCc1cc(Cl)nc(N)n1', 'CCc1cc(Cl)nc(N)n1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O']; [0.9999709129333496, 0.9998647570610046]
 Cc1cc(-c2ccn(CC[NH3+])n2)ccc1O; [None]; [None]; [0]
+Cc1cc(CCC(=O)NCc2ccccn2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2nnc(N)s2)ccc1O; ['Cc1cc(C#N)ccc1O', 'Cc1cc(C(=O)O)ccc1O']; ['NNC(N)=S', 'NNC(N)=S']; [0.9999583959579468, 0.9997972249984741]
+Cc1cc(-c2nncn2C2CC2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2nncn2C(C)C)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2cn(Cc3ccccc3)nn2)ccc1O; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(O)c(C)c2)s1; ['CNC(=O)c1ccc(Br)s1', 'CNC(=O)c1ccc(Br)s1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O']; [0.999994158744812, 0.9999728202819824]
 Cc1cc(CS(=O)(=O)NCc2ccccn2)ccc1O; [None]; [None]; [0]
-Cc1cc(Cc2nnc3ccc(-c4ccccc4)nn23)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2cccc(C(C)(C)O)n2)ccc1O; ['CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1', 'CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O']; [0.9999111294746399, 0.9996734857559204, 0.9991089105606079, 0.9906374216079712, 0.9524632692337036]
 Cc1cc(-c2cc(C(N)=O)cn2C)ccc1O; [None]; [None]; [0]
+CCCCc1cc(-c2ccc(O)c(C)c2)nc(N)n1; [None]; [None]; [0]
+Cc1cc(-c2nc3ccccc3s2)ccc1O; ['Cc1cc(C(=O)O)ccc1O', 'Brc1nc2ccccc2s1', 'Cc1cc(C=O)ccc1O', 'Cc1cc(C=O)ccc1O', 'Cc1cc(CC(=O)O)ccc1O', 'Cc1cc(C=O)ccc1O', 'Brc1nc2ccccc2s1', 'Cc1cc(I)ccc1O', None, 'Cc1cc(Br)ccc1O', 'Cc1cc(C=O)ccc1O']; ['Nc1ccccc1S', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Nc1ccccc1I', 'Nc1ccccc1S', 'O=[N+]([O-])c1ccccc1Cl', 'Nc1ccccc1SSc1ccccc1N', 'Cc1cc(B(O)O)ccc1O', 'c1ccc2scnc2c1', None, 'c1ccc2scnc2c1', 'c1ccc2scnc2c1']; [0.9999746084213257, 0.999973475933075, 0.999968409538269, 0.9999311566352844, 0.9997962117195129, 0.9997919797897339, 0.9977912902832031, 0.9964109063148499, 0, 0.9680199027061462, 0.8720861673355103]
+Cc1cc(-c2cncc(N)n2)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O']; ['Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1', 'Nc1cncc(Br)n1', 'Nc1cncc(Cl)n1']; [0.9999464154243469, 0.9999102354049683, 0.9998754262924194, 0.9997732639312744]
 Cc1cc(Oc2ccc(C[NH3+])cc2F)ccc1O; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)ccc1O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(O)c(C)c3)c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)ccc1O; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2ccc(Br)nc2NC1=O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O']; [0.9995253682136536, 0.9922429323196411]
+Cc1cc(-c2cccc3ccsc23)ccc1O; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cccc2ccsc12', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Brc1cccc2ccsc12', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Cl)ccc1O']; ['Cc1cc(Br)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'Cc1cc(B(O)O)ccc1O', 'Clc1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.9999437928199768, 0.9999246597290039, 0.9996868371963501, 0.9983633756637573, 0.9950398206710815, 0.9933063983917236, 0.9726235866546631, 0.9503892660140991]
+C[C@@H2]NC(=O)N1CCC(c2ccc(O)c(C)c2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(O)c(C)c3)c2)cc1; ['CNC(=O)c1ccc(N)cc1', None]; ['Cc1cc(-c2cccc(C(=O)O)c2)ccc1O', None]; [0.9994856119155884, 0]
+Cc1cc(-c2nc(N)c3ccccc3n2)ccc1O; ['Cc1cc(B(O)O)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O']; ['Nc1nc(Cl)nc2ccccc12', 'Nc1nc(Cl)nc2ccccc12']; [0.9997084140777588, 0.9995107054710388]
 Cc1cc(-c2cccc3nnsc23)ccc1O; [None]; [None]; [0]
-COc1ccc(Oc2ccc(O)c(C)c2)c(F)c1F; [None]; [None]; [0]
-Cc1cc(-c2cccc(C(C)(C)O)n2)ccc1O; [None]; [None]; [0]
+Cc1cc(-c2ncc3cc[nH]c3n2)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O']; ['Clc1ncc2cc[nH]c2n1', 'Clc1ncc2cc[nH]c2n1', 'c1ncc2cc[nH]c2n1']; [0.9999675750732422, 0.9997611045837402, 0.9060733318328857]
+Cc1cc(-c2c[nH]c3cccnc23)ccc1O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Brc1c[nH]c2cccnc12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Brc1c[nH]c2cccnc12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'Cc1cc(B(O)O)ccc1O', 'Cc1ccccc1O']; ['Ic1c[nH]c2cccnc12', 'Ic1c[nH]c2cccnc12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Clc1c[nH]c2cccnc12', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(I)ccc1O', 'Clc1c[nH]c2cccnc12', 'Ic1c[nH]c2cccnc12']; [0.9999858140945435, 0.9999512434005737, 0.9999287128448486, 0.9998352527618408, 0.9991932511329651, 0.9978229403495789, 0.9945797920227051, 0.9775259494781494, 0.875694751739502]
+Cc1cc(-c2ncc3ccccc3n2)ccc1O; ['Brc1ncc2ccccc2n1', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Brc1ncc2ccccc2n1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Clc1ncc2ccccc2n1', 'Clc1ncc2ccccc2n1', 'Cc1cc(B(O)O)ccc1O']; [0.9998413324356079, 0.9996813535690308, 0.9992860555648804, 0.9988787770271301]
+CC(=O)Nc1ncc(-c2ccc(O)c(C)c2)[nH]1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc(O)c(C)c1; ['COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Cl', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O']; [0.9999638795852661, 0.9999526739120483, 0.9999242424964905, 0.999828577041626, 0.9997941255569458, 0.9997610449790955, 0.9994156956672668, 0.9993420839309692, 0.9988526701927185, 0.9986864328384399, 0.9985270500183105, 0.996252179145813, 0.9948388338088989, 0.9885402917861938, 0.9769998788833618, 0.8971186876296997, 0.7744185328483582]
+COc1ccc(Oc2ccc(O)c(C)c2)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(B(O)O)c(F)c1F', 'COc1ccc(Br)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(F)c(F)c1F', 'COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['Cc1cc(B(O)O)ccc1O', 'Cc1cc(O)ccc1O', 'Cc1cc(O)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O']; [0.9966870546340942, 0.9944338798522949, 0.980362057685852, 0.9058773517608643, 0.8845080137252808, 0.7875313758850098, 0.7521491646766663]
+COc1ncccc1-c1ccc(O)c(C)c1; ['COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'CCCC[Sn](CCCC)(CCCC)c1cccnc1OC', 'COc1ncccc1B(O)O', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1I', 'COc1ncccc1Cl', 'COc1ncccc1Br', 'COc1ncccc1Br', 'COc1ccccn1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O']; [0.9999685287475586, 0.9999128580093384, 0.9998794794082642, 0.9995230436325073, 0.9993863701820374, 0.9991902112960815, 0.9990164637565613, 0.9989256858825684, 0.9988471865653992, 0.9966781139373779, 0.9943912029266357, 0.9207446575164795, 0.8963825702667236]
+Cc1cc(-c2cn(CCO)cn2)ccc1O; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc(O)c(C)c2)c1; ['COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)c(I)c1', 'COc1ccc(OC)cc1', 'COc1ccc(OC)c([Mg]Br)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Br)c1', 'COc1ccc(OC)c(Cl)c1', 'COc1ccc(OC)c(B(O)O)c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(N)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1ccccc1O']; [0.9999796152114868, 0.9999691247940063, 0.999893307685852, 0.9997130632400513, 0.9995696544647217, 0.999177873134613, 0.9990434646606445, 0.9976752400398254, 0.9976231455802917, 0.9960752725601196, 0.994676947593689, 0.9936369061470032, 0.9929680824279785, 0.9885308146476746, 0.9874995946884155, 0.9841270446777344, 0.9717657566070557, 0.9630894660949707, 0.9538182616233826, 0.9517110586166382, 0.9185079336166382, 0.8610554337501526, 0.8565472364425659, 0.8241275548934937, 0.753197431564331]
+Cc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)ccc1O; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(F)ccc1O']; [0.9984206557273865, 0.9977446794509888, 0.9930035471916199, 0.9684183597564697]
+Cc1cc(-c2cccc(S(=O)(=O)N(C)C)c2)ccc1O; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CNC']; ['Cc1cc(I)ccc1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(I)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(B(O)O)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(Cl)ccc1O', 'Cc1cc(-c2ccccc2)ccc1O']; [0.9999538660049438, 0.9999395608901978, 0.9999352097511292, 0.9997416734695435, 0.9997135400772095, 0.9994218349456787, 0.9987547397613525, 0.9971765279769897, 0.7672629952430725]
+Cc1cc([C@H]2CC[C@@](C)(O)CC2)ccc1O; [None]; [None]; [0]
+Cc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)ccc1O; ['Cc1cc(I)ccc1O', 'Cc1cc(Br)ccc1O', 'Cc1cc(F)ccc1O', 'Cc1cc(Cl)ccc1O']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9958467483520508, 0.9919018149375916, 0.9181571006774902, 0.8399703502655029]
+Cc1cc(-c2cnnc(N(C)C)c2)ccc1O; [None]; [None]; [0]
+N#Cc1ccc(NCCNc2cccnc2)nc1; ['N#Cc1ccc[n+]([O-])c1', 'N#Cc1ccc(Cl)nc1', 'N#Cc1ccc(Br)nc1', 'N#Cc1ccc(F)nc1']; ['NCCNc1cccnc1', 'NCCNc1cccnc1', 'NCCNc1cccnc1', 'NCCNc1cccnc1']; [0.9999057650566101, 0.9992970824241638, 0.9991154670715332, 0.9857500791549683]
 Cc1cc(-c2cccc(NC(=O)C3CCNCC3)c2)ccc1O; [None]; [None]; [0]
+N#Cc1ccc(NCCNCc2cccnc2)nc1; [None]; [None]; [0]
+CC(C)C(=O)COCCNc1ccc(C#N)cn1; [None]; [None]; [0]
+N#Cc1ccc(NCCNCc2ccc(Cl)cc2)nc1; ['N#Cc1ccc(Br)nc1', 'N#Cc1ccc[n+]([O-])c1', 'N#Cc1ccc(I)nc1', 'N#Cc1ccc(F)nc1', 'N#Cc1ccc(Cl)nc1']; ['NCCNCc1ccc(Cl)cc1', 'NCCNCc1ccc(Cl)cc1', 'NCCNCc1ccc(Cl)cc1', 'NCCNCc1ccc(Cl)cc1', 'NCCNCc1ccc(Cl)cc1']; [0.9998234510421753, 0.9995691776275635, 0.9979046583175659, 0.9961968660354614, 0.9927864670753479]
+N#Cc1ccc(NCCNc2ccncc2)nc1; ['N#Cc1ccc(Br)nc1', 'N#Cc1ccc(Cl)nc1', 'N#Cc1ccc[n+]([O-])c1', 'N#Cc1ccc(F)nc1']; ['NCCNc1ccncc1', 'NCCNc1ccncc1', 'NCCNc1ccncc1', 'NCCNc1ccncc1']; [0.9995708465576172, 0.9995328187942505, 0.998494029045105, 0.9947089552879333]
+N#Cc1ccc(NCCNCCc2c[nH]cn2)nc1; [None]; [None]; [0]
+N#Cc1ccc(NCCNC(=O)c2cccs2)nc1; ['N#Cc1ccc(Cl)nc1', 'N#Cc1ccc[n+]([O-])c1', 'N#Cc1ccc(Br)nc1', 'N#Cc1ccc(F)nc1']; ['NCCNC(=O)c1cccs1', 'NCCNC(=O)c1cccs1', 'NCCNC(=O)c1cccs1', 'NCCNC(=O)c1cccs1']; [0.99998939037323, 0.9999873638153076, 0.9999750852584839, 0.9997565746307373]
+N#Cc1ccc(NCCNCc2ccccc2F)nc1; ['N#Cc1ccc[n+]([O-])c1', 'N#Cc1ccc(Br)nc1', 'N#Cc1ccc(Cl)nc1', 'N#Cc1ccc(I)nc1', 'N#Cc1ccc(F)nc1']; ['NCCNCc1ccccc1F', 'NCCNCc1ccccc1F', 'NCCNCc1ccccc1F', 'NCCNCc1ccccc1F', 'NCCNCc1ccccc1F']; [0.9999890327453613, 0.9999823570251465, 0.9999603033065796, 0.9998725652694702, 0.9923369884490967]
+N#Cc1ccc(NCCOc2ccccn2)nc1; ['N#Cc1ccc(Cl)nc1', 'N#Cc1ccc(Br)nc1', 'N#Cc1ccc(F)nc1', 'N#Cc1ccc[n+]([O-])c1']; ['NCCOc1ccccn1', 'NCCOc1ccccn1', 'NCCOc1ccccn1', 'NCCOc1ccccn1']; [0.9998876452445984, 0.9996418952941895, 0.9995385408401489, 0.9980322122573853]
+N#Cc1ccc(NCCc2csc(N)n2)nc1; [None]; [None]; [0]
+N#Cc1ccc(NCCNCCc2ccccc2)nc1; [None]; [None]; [0]
+CCN(CC)CCNc1ccc(C#N)cn1; ['CCN(CC)CCN', 'CCN(CC)CCN', 'CCN(CC)CCCl', 'CCN(CC)CCN', 'CCN(CC)CCN', 'CCN(CC)CCBr', 'CCN(CC)CCN', 'CCN(CC)CCN']; ['N#Cc1ccc[n+]([O-])c1', 'N#Cc1ccc(Br)nc1', 'N#Cc1ccc(N)nc1', 'N#Cc1ccc(Cl)nc1', 'N#Cc1ccc(I)nc1', 'N#Cc1ccc(N)nc1', 'N#Cc1ccc(F)nc1', 'N#Cc1cccnc1']; [0.9999703168869019, 0.999925971031189, 0.9997096061706543, 0.9996185302734375, 0.9990333318710327, 0.9976050853729248, 0.9973139762878418, 0.7694422006607056]
 N#Cc1ccc(NCCNC(=O)c2c(Cl)cccc2Cl)nc1; [None]; [None]; [0]
 CC(C)(COCCNc1ccc(C#N)cn1)S(C)(=O)=O; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(CCNc2ccc(C#N)cn2)CC1; [None]; [None]; [0]
+COc1ccncc1NCCNc1ccc(C#N)cn1; [None]; [None]; [0]
+N#Cc1ccc(NCCNc2cnc3ccccc3c2)nc1; [None]; [None]; [0]
 N#Cc1ccc(NCCNc2cnccc2-c2ccccc2)nc1; [None]; [None]; [0]
 C[C@@H](OCCNc1ccc(C#N)cn1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
 CN(CCNc1ccc(C#N)cn1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-C[C@H](NCCNc1ccc(C#N)cn1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-N#Cc1ccc(NCCOc2ccc(C[NH3+])cc2F)nc1; [None]; [None]; [0]
+C[C@H](NCCNc1ccc(C#N)cn1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](NCCNc1ccc(C#N)cn1)C(C)(C)O; [None]; [None]; [0]
 COc1ccc(OCCNc2ccc(C#N)cn2)c(F)c1F; [None]; [None]; [0]
+N#Cc1ccc(NCCOc2ccc(C[NH3+])cc2F)nc1; [None]; [None]; [0]
+N#Cc1ccc(NCCc2nc(N)c3ccccc3n2)nc1; [None]; [None]; [0]
+C[C@H](NCCNc1ccc(C#N)cn1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+N#Cc1ccc(NCCc2cccc(NC(=O)C3CCNCC3)c2)nc1; [None]; [None]; [0]
+N#Cc1ccc(NCCN2CCC(c3nc4ccccc4[nH]3)CC2)nc1; [None]; [None]; [0]
+N#Cc1ccc(NCCN2CC=C(c3c[nH]c4ccccc34)CC2)nc1; [None]; [None]; [0]
+CCOc1ccc(-c2c[nH]c(=O)cc2O)cc1; ['CCOc1ccc(B(O)O)cc1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9818247556686401]
+CC(=O)N(C)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2c[nH]c(=O)cc2O)c1; ['CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['O=c1cc(O)cc[nH]1', 'O=c1cc(O)c(Cl)c[nH]1']; [0.9987910985946655, 0.9950048923492432]
+O=c1cc(O)c(-c2ncc3ccccc3n2)c[nH]1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+O=c1cc(O)c(-c2cnc3cccnn23)c[nH]1; [None]; [None]; [0]
+COc1ncccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+Cc1ccc2ncn(-c3c[nH]c(=O)cc3O)c2c1; [None]; [None]; [0]
+COc1cc(-c2c[nH]c(=O)cc2O)cc(OC)c1OC; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2c[nH]c(=O)cc2O)c1; ['N#Cc1ccc(O)c(B(O)O)c1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9962807893753052]
+O=c1cc(O)c(-c2cccc(O)c2)c[nH]1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2c[nH]c(=O)cc2O)c1)C1CC1; ['O=C(Nc1cccc(Br)c1)C1CC1']; ['O=c1cc(O)cc[nH]1']; [0.9578350782394409]
+O=c1cc(O)c(-c2nc3ccccc3[nH]2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(N3CCOCC3)cc2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2nccc3ccccc23)c[nH]1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3c[nH]c(=O)cc3O)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2c[nH]c(=O)cc2O)sn1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['O=c1cc(O)c(Cl)c[nH]1', 'O=c1cc(O)c(Cl)c[nH]1']; [0.998909592628479, 0.9876548051834106]
+O=C([O-])c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cccc(C3CCNCC3)c2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(Nc2ncccn2)c[nH]1; [None]; [None]; [0]
+O=C(c1ccc(-c2c[nH]c(=O)cc2O)cc1)N1CCOCC1; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9927138686180115]
+CC(=O)NCc1ccc(-c2c[nH]c(=O)cc2O)cc1; ['CC(=O)NCc1ccc(B(O)O)cc1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.90604567527771]
 N#Cc1cccc(Cn2cc(-c3c[nH]c(=O)cc3O)cn2)c1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(OCCO)cc2)c[nH]1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+O=c1cc(O)c(Nc2ccncn2)c[nH]1; ['Nc1ccncn1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9743200540542603]
+C[C@H](O)COc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2c[nH]c(=O)cc2O)nc1)N1CCOCC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
 O=c1cc(O)c(-c2ccc3c(c2)CS(=O)(=O)C3)c[nH]1; [None]; [None]; [0]
+CN(C)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(C(F)(F)F)cc2)c[nH]1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
 CC(C)c1cc(-c2c[nH]c(=O)cc2O)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3c[nH]c(=O)cc3O)c2)CC1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(Br)cc2)c[nH]1; [None]; [None]; [0]
 CCCOc1ccc(-c2c[nH]c(=O)cc2O)nc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2c[nH]c(=O)cc2O)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2c[nH]c(=O)cc2O)C1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3c[nH]c(=O)cc3O)c2)CC1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c[nH]c(=O)cc2O)c(C)c1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; ['CCN(CC)C(=O)c1ccc(B(O)O)cc1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9039013981819153]
+O=c1cc(O)c(-c2ccccc2-n2cccn2)c[nH]1; ['Brc1ccccc1-n1cccn1']; ['O=c1cc(O)cc[nH]1']; [0.9218308329582214]
+O=c1cc(O)c(-c2ccn3nccc3n2)c[nH]1; [None]; [None]; [0]
+CN(C)c1ccc(-c2c[nH]c(=O)cc2O)cc1Cl; [None]; [None]; [0]
+O=c1cc(O)c(-c2c[nH]c3ccccc23)c[nH]1; ['O=c1cc(O)cc[nH]1']; ['c1ccc2[nH]ccc2c1']; [0.8454161286354065]
+COc1ccc(Cl)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2c[nH]c(=O)cc2O)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9927366971969604]
+COc1cc(OC)c(-c2c[nH]c(=O)cc2O)cc1Cl; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc3c(c2)CCO3)c[nH]1; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3c[nH]c(=O)cc3O)[nH]c2c1; [None]; [None]; [0]
+COc1cc(-c2c[nH]c(=O)cc2O)ccc1O; ['COc1cc(B(O)O)ccc1O']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9920485019683838]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
-O=c1cc(O)c(Cc2nc3c(F)c(F)ccc3[nH]2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cc(-c3ccccc3)[nH]n2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cccc3c2OCO3)c[nH]1; ['O=c1cc(O)c(Cl)c[nH]1']; ['OB(O)c1cccc2c1OCO2']; [0.9627967476844788]
+O=c1cc(O)c(-c2cnc3ccccc3c2)c[nH]1; ['O=c1cc(O)c(Cl)c[nH]1']; ['OB(O)c1cnc2ccccc2c1']; [0.9830441474914551]
+CC(C)(C)c1ccc(-c2c[nH]c(=O)cc2O)cn1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+Nc1nc(-c2c[nH]c(=O)cc2O)cs1; [None]; [None]; [0]
+O=c1cc(O)c(-c2scc3c2OCCO3)c[nH]1; [None]; [None]; [0]
+CSc1ccc(-c2c[nH]c(=O)cc2O)cc1; ['CSc1ccc(B(O)O)cc1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9439518451690674]
+CN(C)C(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cc3ccccc3s2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccn(-c3cccc(Cl)c3)n2)c[nH]1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
+Cc1cc(-c2c[nH]c(=O)cc2O)nc(N)n1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3c[nH]c(=O)cc3O)cc2)CC1; [None]; [None]; [0]
+CC1(COc2c[nH]c(=O)cc2O)COC1; [None]; [None]; [0]
+O=C1CCc2cc(-c3c[nH]c(=O)cc3O)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9931568503379822]
+O=c1cc(O)c(-c2ccc(F)cc2Cl)c[nH]1; [None]; [None]; [0]
+COc1ccc(CNc2c[nH]c(=O)cc2O)cc1; ['COc1ccc(CN)cc1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.799728512763977]
+COc1ccc(-c2c[nH]c(=O)cc2O)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2c[nH]c(=O)cc2O)cc1; ['CCc1ccc(B(O)O)cc1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9089277982711792]
+C[C@H]1CCCN1C(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ncc(Br)cn2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ncc3cccn3n2)c[nH]1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2c[nH]c(=O)cc2O)C1; [None]; [None]; [0]
+COc1cc(-c2c[nH]c(=O)cc2O)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.997580885887146]
+Cn1cc(-c2c[nH]c(=O)cc2O)c(C(F)(F)F)n1; ['Cn1ccc(C(F)(F)F)n1']; ['O=c1cc(O)cc[nH]1']; [0.8883357644081116]
+O=c1cc(O)c(-c2cc3ccccn3n2)c[nH]1; [None]; [None]; [0]
+COc1ccc2cccc(-c3c[nH]c(=O)cc3O)c2c1; [None]; [None]; [0]
+COc1cc(-c2c[nH]c(=O)cc2O)ccc1Cl; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(Cl)cc2Cl)c[nH]1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3c[nH]c(=O)cc3O)ccc2O1; [None]; [None]; [0]
+COc1cc(F)c(-c2c[nH]c(=O)cc2O)cc1OC; [None]; [None]; [0]
+Cc1nc(Nc2c[nH]c(=O)cc2O)sc1C; ['Cc1nc(N)sc1C']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.8708189725875854]
+O=c1cc(O)c(-c2cnn(CCO)c2)c[nH]1; ['O=c1cc(O)c(Cl)c[nH]1']; ['OCCn1cc(B(O)O)cn1']; [0.9941349029541016]
+O=c1cc(O)c(-c2cccc3ccc(O)cc23)c[nH]1; [None]; [None]; [0]
+Cc1cc(Nc2c[nH]c(=O)cc2O)nn1C; ['Cc1cc(N)nn1C']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9674320816993713]
+CNC(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['O=c1cc(O)c(Cl)c[nH]1', 'O=c1cc(O)c(Cl)c[nH]1']; [0.9959778189659119, 0.9309022426605225]
 Nc1cc(-c2c[nH]c(=O)cc2O)c2cc[nH]c2n1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ncc(Cl)cn2)c[nH]1; [None]; [None]; [0]
+Cc1csc2c(-c3c[nH]c(=O)cc3O)ncnc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2c[nH]c(=O)cc2O)nc1; [None]; [None]; [0]
+O=C(Nc1c[nH]c(=O)cc1O)c1ccco1; [None]; [None]; [0]
+COc1cc(-c2c[nH]c(=O)cc2O)c(OC)cc1Br; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2c[nH]c(=O)cc2O)CC1; [None]; [None]; [0]
+O=c1cc(O)c(Cc2ccc(S(=O)(=O)CCO)cc2)c[nH]1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
+COc1ccc2oc(-c3c[nH]c(=O)cc3O)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9678884744644165]
+O=c1cc(O)c(-c2ccc3cn[nH]c3c2)c[nH]1; ['O=c1cc(O)c(Cl)c[nH]1']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.9974614381790161]
+COc1cc(OC)cc(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
+CCn1cc(-c2c[nH]c(=O)cc2O)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9576734900474548]
+CC(C)(C)c1ccc(C(=O)Nc2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cc3ccccc3o2)c[nH]1; ['O=c1cc(O)c(Cl)c[nH]1']; ['OB(O)c1cc2ccccc2o1']; [0.9623837471008301]
 COc1ccc2c(c1)c(-c1c[nH]c(=O)cc1O)cn2C; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cc(-c3cccnc3)ccn2)c[nH]1; [None]; [None]; [0]
+COc1ccc2nc(-c3c[nH]c(=O)cc3O)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=C(O)c1c[nH]c(=O)cc1O']; [0.8645782470703125]
+Cn1cc(Br)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+O=c1cc(O)c(-c2ncc3sccc3n2)c[nH]1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2c[nH]c(=O)cc2O)c1)N1CCCC1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(OC(F)(F)F)cc2)c[nH]1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
+CCc1cccc(-c2c[nH]c(=O)cc2O)n1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3c[nH]c(=O)cc3O)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(-c2c[nH]c(=O)cc2O)c2ccccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2c[nH]c(=O)cc2O)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9980108737945557]
+Cn1ncc2cc(-c3c[nH]c(=O)cc3O)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9998451471328735]
+Cc1cc(-c2c[nH]c(=O)cc2O)cc(C)c1OCCO; [None]; [None]; [0]
 O=c1cc(O)c(-c2ncn3c2CCCC3)c[nH]1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3c[nH]c(=O)cc3O)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9990890622138977]
+O=C1CCCN1c1cccc(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
+O=C(Nc1c[nH]c(=O)cc1O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3c[nH]c(=O)cc3O)ccc21; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(CCO)cc2)c[nH]1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3c[nH]c(=O)cc3O)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1c[nH]c(=O)cc1O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2c[nH]c(=O)cc2O)c(Cl)c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3c[nH]c(=O)cc3O)cc2)n1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c[nH]c(=O)cc2O)c(OC)c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
 Cn1nc(-c2c[nH]c(=O)cc2O)cc1C(C)(C)O; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+O=c1cc(O)c(Nc2ccc(F)cn2)c[nH]1; ['Nc1ccc(F)cn1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9990894794464111]
+CCNC(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2c[nH]c(=O)cc2O)nc1; [None]; [None]; [0]
+O=c1cc(O)c(Nc2ccccn2)c[nH]1; ['Nc1ccccn1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9953307509422302]
+CCNC(=O)Cc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
 Cc1cc(Nc2c[nH]c(=O)cc2O)ncc1F; [None]; [None]; [0]
+O=c1cc(O)c(-c2cccc3ncccc23)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(Cl)c(O)c2)c[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
+O=c1cc(O)c(-c2n[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2c(Cl)cccc2Cl)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2c(Cl)ccc3c2OCO3)c[nH]1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+NC(=O)c1ccc(-c2c[nH]c(=O)cc2O)c(F)c1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(O)cc2Cl)c[nH]1; [None]; [None]; [0]
+Nc1nccc(-c2c[nH]c(=O)cc2O)n1; [None]; [None]; [0]
+O=c1cc(O)c(Oc2ccc(F)cc2)c[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+COc1ccc(F)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+COC(=O)c1ccc(-c2c[nH]c(=O)cc2O)o1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(O)cc2F)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cn[nH]c2Cl)c[nH]1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3c[nH]c(=O)cc3O)cc2[nH]1; [None]; [None]; [0]
 O=c1cc(O)c(-c2ccc(-c3ccc(O)cc3O)cc2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cccc(Br)c2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc3ccccc3c2)c[nH]1; [None]; [None]; [0]
+COc1cc(CCc2c[nH]c(=O)cc2O)ccc1O; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(O)c(F)c2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(O)cc2O)c[nH]1; [None]; [None]; [0]
+Nc1cc(-c2c[nH]c(=O)cc2O)ccn1; [None]; [None]; [0]
+O=c1cc(O)c(-c2c[nH]c3cnccc23)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(COc2ccccc2Cl)c[nH]1; [None]; [None]; [0]
 O=c1cc(O)c(-c2cnn3ncccc23)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(F)c(Cl)c2)c[nH]1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+O=c1cc(O)c(-c2[nH]cnc2-c2ccc(F)cc2)c[nH]1; [None]; [None]; [0]
+NC(=O)c1cc(-c2c[nH]c(=O)cc2O)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cnc(O)c(Cl)c2)c[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2c[nH]c(=O)cc2O)c1; ['CCOc1cccc(B(O)O)c1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.997549295425415]
+O=c1cc(O)c(-c2cc(O)ccc2Cl)c[nH]1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3c[nH]c(=O)cc3O)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3c[nH]c(=O)cc3O)cc2[nH]1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2c[nH]c(=O)cc2O)cc1; ['CS(=O)(=O)c1ccc(B(O)O)cc1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9279035329818726]
+O=c1cc(O)c(-c2cnc3[nH]ccc3c2)c[nH]1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2c[nH]c(=O)cc2O)cc1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cncc(O)c2)c[nH]1; ['O=c1cc(O)c(Cl)c[nH]1']; ['OB(O)c1cncc(O)c1']; [0.9838829040527344]
+O=c1cc(O)c(-c2nc3ccccc3s2)c[nH]1; [None]; [None]; [0]
+COc1cc(CCc2c[nH]c(=O)cc2O)cc(OC)c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3c[nH]c(=O)cc3O)ccc2N1; ['O=C1Cc2cc(B(O)O)ccc2N1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1']; ['O=c1cc(O)cc[nH]1', 'O=c1cc(O)c(Cl)c[nH]1', 'O=c1cc(O)c(Cl)c[nH]1']; [0.9952176213264465, 0.9861282110214233, 0.972142219543457]
+CNc1nccc(-c2c[nH]c(=O)cc2O)n1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1c[nH]c(=O)cc1O; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9083482027053833]
+CCc1cc(O)c(F)cc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3c[nH]c(=O)cc3O)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2c[nH]c(=O)cc2O)c1C; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccncc2Cl)c[nH]1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+O=c1cc(O)c(-c2cc(C(F)F)n[nH]2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cc(Cl)c(O)c(Cl)c2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc3c(c2)CCN3)c[nH]1; ['O=c1cc(O)c(Cl)c[nH]1']; ['OB(O)c1ccc2c(c1)CCN2']; [0.9740369319915771]
+CNc1nc(-c2c[nH]c(=O)cc2O)ncc1F; [None]; [None]; [0]
+CCc1sccc1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+O=c1cc(O)c(Nc2ccncc2)c[nH]1; ['Nc1ccncc1']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9834950566291809]
 O=c1cc(O)c(-c2cc(O)n3nccc3n2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc3[nH]c(=O)[nH]c3c2)c[nH]1; [None]; [None]; [0]
 Cc1oc(-c2c[nH]c(=O)cc2O)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc(Br)cc2F)c[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
+Cc1cc(-c2c[nH]c(=O)cc2O)ccc1C(N)=O; [None]; [None]; [0]
+O=c1cc(O)c(-c2[nH]nc3ccc(F)cc23)c[nH]1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2c[nH]c(=O)cc2O)cc1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; ['O=c1cc(O)c(Cl)c[nH]1', 'O=c1cc(O)c(Cl)c[nH]1']; [0.9991703033447266, 0.995918333530426]
 CN(c1c[nH]c(=O)cc1O)c1cccc2[nH]ncc12; [None]; [None]; [0]
+O=c1cc(O)c(-c2cc(O)cc(Br)c2)c[nH]1; [None]; [None]; [0]
+Cc1nc2ccc(-c3c[nH]c(=O)cc3O)cc2o1; [None]; [None]; [0]
+O=c1cc(O)c(-c2ccc3c(=O)[nH][nH]c3c2)c[nH]1; [None]; [None]; [0]
+Cc1cc(-c2c[nH]c(=O)cc2O)cc(C)c1O; ['Cc1cc(B(O)O)cc(C)c1O']; ['O=c1cc(O)c(Cl)c[nH]1']; [0.9846271872520447]
+O=c1cc(O)c(-c2cc(F)c(O)c(F)c2)c[nH]1; [None]; [None]; [0]
+CSc1cccc(-c2c[nH]c(=O)cc2O)c1; [None]; [None]; [0]
+O=c1cc(O)c(OCc2cccc3ccccc23)c[nH]1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1c[nH]c(=O)cc1O; [None]; [None]; [0]
 O=c1cc(O)c(-c2ocnc2-c2ccc(F)cc2)c[nH]1; [None]; [None]; [0]
-Oc1ccc(-c2ccc(Nc3ncnn4cccc34)cc2)c(O)c1; [None]; [None]; [0]
-c1cnn2ncc(Nc3ncnn4cccc34)c2c1; [None]; [None]; [0]
-Oc1cc(Nc2ncnn3cccc23)nc2ccnn12; [None]; [None]; [0]
-Cc1oc(Nc2ncnn3cccc23)cc1C(=O)[O-]; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
+O=c1cc(O)c(-c2cn[nH]c2-c2ccc(Cl)cc2)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(CCc2c[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
+O=C1Nc2ccccc2C1=C1C(=O)Nc2ccc(F)cc21; ['O=C1Cc2ccccc2N1', 'O=C1Cc2cc(F)ccc2N1']; ['O=C1Nc2ccc(F)cc2C1=O', 'O=C1Nc2ccccc2C1=O']; [0.9669203162193298, 0.9640947580337524]
+O=c1cc(O)c(OCc2ccc(F)cc2F)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(Oc2ccc(F)cc2F)c[nH]1; [None]; [None]; [0]
+O=C1Nc2ccc(F)cc2C1=Cc1cnn(CCO)c1; [None]; [None]; [0]
+O=c1cc(O)c(NCc2c(F)cccc2Cl)c[nH]1; [None]; [None]; [0]
+O=c1cc(O)c(CCc2ccc(F)cc2F)c[nH]1; [None]; [None]; [0]
+COc1ccc(C=C2C(=O)Nc3ccc(F)cc32)cc1OC; [None]; [None]; [0]
 O=C1Nc2ccc(F)cc2C1=Cc1cc2c([nH]1)CCCC2; [None]; [None]; [0]
+CCOc1ccccc1-c1cnn2ccc(N)nc12; ['CCOc1ccccc1Br']; ['Nc1ccn2nccc2n1']; [0.9998956918716431]
+Cc1[nH]c(C=C2C(=O)Nc3ccc(F)cc32)c(C)c1C; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(C=C2C(=O)Nc3ccc(F)cc32)cc1; [None]; [None]; [0]
+Cc1cc(C)c(C=C2C(=O)Nc3ccc(F)cc32)[nH]1; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
-CCOc1ccccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+CCn1cc(-c2cnn3ccc(N)nc23)cn1; ['CCn1cc(Br)cn1']; ['Nc1ccn2nccc2n1']; [0.8729621767997742]
 Cc1nnc(-c2ccccc2-c2cnn3ccc(N)nc23)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccnc4ccccc34)c2n1; ['Ic1ccnc2ccccc12']; ['Nc1ccn2nccc2n1']; [0.9919370412826538]
 CP(C)(=O)c1ccccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccnc4ccccc34)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc(C(F)(F)F)c3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccccc3Br)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccccc3OC(F)(F)F)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccccc3C(=O)[O-])c2n1; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cccc(C(F)(F)F)c3)c2n1; ['FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999513030052185, 0.9997906684875488]
+Nc1ccn2ncc(-c3ccccc3OC(F)(F)F)c2n1; ['FC(F)(F)Oc1ccccc1Br']; ['Nc1ccn2nccc2n1']; [0.9999717473983765]
+COc1ccc(F)cc1[C@@H](C)c1cnn2ccc(N)nc12; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cnn(Cc4ccccc4)c3)c2n1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cnn4ccc(N)nc34)cc2c1=O; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cnn2ccc(N)nc12; ['NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1I']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9991742372512817, 0.9991660118103027]
 Nc1ccn2ncc(-c3cnc(-c4ccccc4)[nH]3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cnn(CCO)c3)c2n1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cnn3ccc(N)nc23)cs1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc(NC(=O)c4ccccc4)c3)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccccc3C(=O)[O-])c2n1; [None]; [None]; [0]
+Nc1ccn2ncc([C@@H](N)c3ccco3)c2n1; [None]; [None]; [0]
+Cc1ccc(-c2cnn3ccc(N)nc23)c(Br)c1; ['Cc1ccc(I)c(Br)c1', 'Cc1ccc(Br)c(Br)c1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9948825240135193, 0.8631605505943298]
 COc1cnc(-c2cnn3ccc(N)nc23)nc1; [None]; [None]; [0]
-Cc1ccc(-c2cnn3ccc(N)nc23)c(Br)c1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cnc4ccccn34)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cc(Cl)ccc3Cl)c2n1; ['Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999812841415405, 0.9999575614929199]
 Cc1nc2ccccn2c1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnn3ccc(N)nc23)s1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cnc4ccccn34)c2n1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cnn3ccc(N)nc23)cs1; [None]; [None]; [0]
 CNc1nc(C)c(-c2cnn3ccc(N)nc23)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cnc4cccnn34)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3c(Cl)cccc3Cl)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc(Cn4cncn4)c3)c2n1; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
-Cc1c(-c2cnn3ccc(N)nc23)sc(=O)n1C; [None]; [None]; [0]
+Nc1ccn2ncc(-c3c(Cl)cccc3Cl)c2n1; ['Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9996494054794312, 0.9985233545303345]
+Cc1nc(C)c(-c2cnn3ccc(N)nc23)s1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cccc(NC(=O)c4ccccc4)c3)c2n1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cccc(Br)c3)c2n1; ['Nc1ccn2nccc2n1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1']; ['OB(O)c1cccc(Br)c1', 'Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999812841415405, 0.9999572038650513, 0.9962576031684875]
+Cc1ccc(Cl)c(-c2cnn3ccc(N)nc23)c1; ['Cc1ccc(Cl)c(I)c1']; ['Nc1ccn2nccc2n1']; [0.9996738433837891]
 Nc1ccn2ncc(-c3ccnc(N)n3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cnn4ncccc34)c2n1; [None]; [None]; [0]
-COc1cccc(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc4ccccc4c3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc(CC(=O)[O-])c3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cncc4ccccc34)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccc4ccccc4c3)c2n1; ['Nc1ccn2nccc2n1', 'Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999159574508667, 0.9985440373420715, 0.9930214881896973]
+Cc1c(-c2cnn3ccc(N)nc23)sc(=O)n1C; [None]; [None]; [0]
+Nc1ccn2ncc(-c3c[nH]nc3C(F)(F)F)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cccc(Cn4cncn4)c3)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cncc4ccccc34)c2n1; ['Ic1cncc2ccccc12', 'Brc1cncc2ccccc12', 'Nc1ccn2nccc2n1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'OB(O)c1cncc2ccccc12']; [0.9997025728225708, 0.9995743036270142, 0.9986637830734253]
+NC(=O)c1c(F)cccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+CC(C)(C)c1cnc(Cc2cnn3ccc(N)nc23)o1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cnn4ccc(N)nc34)cc2)cn1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cccc(CC(=O)[O-])c3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3ccc4c(N)[nH]nc4c3)c2n1; [None]; [None]; [0]
 CN1c2ccc(-c3cnn4ccc(N)nc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cccc(CO)c3)c2n1; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; ['OCc1cccc(I)c1', 'OCc1cccc(Br)c1']; [0.9637256264686584, 0.9258394241333008]
 Cn1ncc2cc(-c3cnn4ccc(N)nc34)ccc21; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccc(-c4cn[nH]c4)cc3)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cccc(O)c3)c2n1; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1']; [0.9867792725563049, 0.9058797359466553]
 CCCn1cnc(-c2cnn3ccc(N)nc23)n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc(O)c3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc(CO)c3)c2n1; [None]; [None]; [0]
-COc1cc(-c2cnn3ccc(N)nc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1ccn2ncc(-c3csc4ncncc34)c2n1; [None]; [None]; [0]
 CC(C)n1cc(-c2cnn3ccc(N)nc23)nn1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cc4ccccc4[nH]3)c2n1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
+COc1cc(-c2cnn3ccc(N)nc23)ccc1C(=O)[O-]; [None]; [None]; [0]
 CSc1nc(-c2cnn3ccc(N)nc23)c[nH]1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cncnc3N)c2n1; [None]; [None]; [0]
 CC(C)c1oncc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
-Nc1ccn2ncc(-c3csc4ncncc34)c2n1; [None]; [None]; [0]
-N#CCCc1cccc(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cnn4ccc(N)nc34)cc2s1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cnn3ccc(N)nc23)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.999454140663147, 0.9945597648620605]
+Nc1ccn2ncc(Cc3c(F)cccc3F)c2n1; ['Fc1cccc(F)c1CCl']; ['Nc1ccn2nccc2n1']; [0.9990551471710205]
+Nc1ccn2ncc(-c3ccc(F)cc3C(F)(F)F)c2n1; [None]; [None]; [0]
 CC[C@H](CO)c1cnn2ccc(N)nc12; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc(F)cc3C(F)(F)F)c2n1; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
+COc1ccc(-c2cnn3ccc(N)nc23)cc1Cl; ['COc1ccc(Br)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999819993972778, 0.9999734163284302, 0.9999247789382935]
 Cn1cc(-c2cnn3ccc(N)nc23)c2ccccc21; [None]; [None]; [0]
-COc1ccc(-c2cnn3ccc(N)nc23)cc1Cl; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cnn4ccccc34)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cnn4ccccc34)c2n1; ['Ic1cnn2ccccc12']; ['Nc1ccn2nccc2n1']; [0.9995547533035278]
+CS(=O)(=O)c1cccc(Cc2cnn3ccc(N)nc23)c1; ['CS(=O)(=O)c1cccc(CCl)c1']; ['Nc1ccn2nccc2n1']; [0.9987464547157288]
 Nc1ccn2ncc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)c2n1; [None]; [None]; [0]
 CCCn1cc(-c2cnn3ccc(N)nc23)cn1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cc[nH]c(=O)c3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cccc4c3C(=O)CC4)c2n1; [None]; [None]; [0]
-CC(C)(N)c1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+CN(c1ncccc1Cc1cnn2ccc(N)nc12)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnn3ccc(N)nc23)cc1; ['CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9995943903923035, 0.9986593127250671]
+CC(C)Oc1cncc(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cc4c(=O)[nH]ccc4o3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cc4c(=O)[nH]cc(Br)c4s3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3c[nH]c4ccccc34)c2n1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cnn2ccc(N)nc12; ['COc1cccc(F)c1Br', 'COc1cccc(F)c1I']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999973773956299, 0.9999949932098389]
 Nc1ccn2ncc(-c3c[nH]c4cnccc34)c2n1; [None]; [None]; [0]
-CNC(=O)c1c(F)cccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cnc4[nH]ccc4c3)c2n1; [None]; [None]; [0]
-CC1(c2cnn3ccc(N)nc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
+Nc1ccn2ncc([C@H](CO)c3ccccc3)c2n1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
+CC1(c2cnn3ccc(N)nc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3c(F)cccc3Cl)c2n1; ['Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Br']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [1.0, 0.9999973773956299]
+Nc1ccn2ncc([C@H](CO)Cc3ccccc3)c2n1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
 Nc1ccn2ncc(-c3ccc(N4CCOCC4)cc3)c2n1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccnc3O)c2n1; [None]; [None]; [0]
+Cc1cc(-c2cnn3ccc(N)nc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccc(C(=O)c4ccccc4)cc3)c2n1; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; ['O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9997351169586182, 0.9995003938674927]
+COc1ccc(-c2cnn3ccc(N)nc23)c(OC)c1; ['COc1ccc(Br)c(OC)c1', 'COc1ccc(I)c(OC)c1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999107718467712, 0.9998080134391785]
 Nc1ccn2ncc(-c3ccc(-n4cncn4)cc3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3nc4ccc(O)cc4[nH]3)c2n1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cnn3ccc(N)nc23)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cnn3ccc(N)nc23)c(OC)c1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc(C(=O)c4ccccc4)cc3)c2n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnn3ccc(N)nc23)CC1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Nc1ccn2ncc(-c3nnc(N)s3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3nncn3C3CC3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccn(CC[NH3+])n3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cn(Cc4ccccc4)nn3)c2n1; [None]; [None]; [0]
 CCc1cc(-c2cnn3ccc(N)nc23)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2cnn3ccc(N)nc23)nc(N)n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cnc(N)s3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3nnc(N)s3)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccn(CC[NH3+])n3)c2n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+CCCCc1cc(-c2cnn3ccc(N)nc23)nc(N)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cnn3ccc(N)nc23)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cn(Cc4ccccc4)nn3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3nc4ccccc4s3)c2n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cnn3ccc(N)nc23)n1; [None]; [None]; [0]
+Nc1cncc(-c2cnn3ccc(N)nc23)n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cccc4ccsc34)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cccc4nnsc34)c2n1; ['Brc1cccc2nnsc12']; ['Nc1ccn2nccc2n1']; [0.9998123049736023]
 CC1(C)Oc2ccc(-c3cnn4ccc(N)nc34)nc2NC1=O; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cnn3ccc(N)nc23)CC1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnn4ccc(N)nc34)c2)cc1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc4ccsc34)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc4nnsc34)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(CCCNC(=O)c3cccs3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(CCCNC(=O)C3CCC3)c2n1; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cnn3ccc(N)nc23)[nH]1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3ncc4ccccc4n3)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(CCCNC(=O)C3CCC3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3c[nH]c4cccnc34)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(CCCNC(=O)c3cccs3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3ncc4cc[nH]c4n3)c2n1; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
-C[C@@]1(O)CC[C@H](c2cnn3ccc(N)nc23)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnn3ccc(N)nc23)n1; [None]; [None]; [0]
-Nc1ccn2ncc(N3CCC(c4nc5ccccc5[nH]4)CC3)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cn(CCO)cn3)c2n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cnn2ccc(N)nc12; ['COc1ccc(C#N)cc1Br']; ['Nc1ccn2nccc2n1']; [0.9999984502792358]
+CC(=O)Nc1ncc(-c2cnn3ccc(N)nc23)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cnn3ccc(N)nc23)c1; ['COc1ccc(OC)c(Br)c1']; ['Nc1ccn2nccc2n1']; [0.9999825954437256]
+COc1ncccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cnn3ccc(N)nc23)c1; ['CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Nc1ccn2nccc2n1']; [0.9999951720237732]
+CS(=O)(=O)Nc1ccccc1Cc1cnn2ccc(N)nc12; [None]; [None]; [0]
+Nc1ccn2ncc(-c3c(Cl)ccc4c3OCO4)c2n1; ['Nc1ccn2nccc2n1']; ['OB(O)c1c(Cl)ccc2c1OCO2']; [0.9991316795349121]
 CN(C)c1cc(-c2cnn3ccc(N)nc23)cnn1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc(NC(=O)C4CCNCC4)c3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc(O)cc3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc4ncccc34)c2n1; [None]; [None]; [0]
-CCc1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc(Cl)c(O)c3)c2n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cnn3ccc(N)nc23)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn3ccc(N)nc23)cc1; ['NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9994277954101562, 0.9986255168914795]
 Nc1ccn2ncc(-c3n[nH]c4ccccc34)c2n1; [None]; [None]; [0]
-Cn1c(-c2cnn3ccc(N)nc23)nc2ccccc21; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cccc4ncccc34)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccc(Cl)c(O)c3)c2n1; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; ['Oc1cc(I)ccc1Cl', 'Oc1cc(Br)ccc1Cl']; [0.9561014175415039, 0.9487236738204956]
 Nc1ccn2ncc(Oc3ccc(F)cc3)c2n1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnn3ccc(N)nc23)c(F)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn3ccc(N)nc23)c(F)c1; ['NC(=O)c1ccc(Br)c(F)c1']; ['Nc1ccn2nccc2n1']; [0.9990295767784119]
+COc1cc(C(N)=O)ccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnn2ccc(N)nc12; ['COc1ccc(F)cc1Br']; ['Nc1ccn2nccc2n1']; [0.9999568462371826]
+COc1cc(F)ccc1-c1cnn2ccc(N)nc12; ['COc1cc(F)ccc1Br']; ['Nc1ccn2nccc2n1']; [0.9999661445617676]
 Nc1ccn2ncc(-c3ccc(O)cc3Cl)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccc(O)cc3F)c2n1; [None]; [None]; [0]
+COc1cc(-c2cnn3ccc(N)nc23)ccc1O; ['COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9914650917053223, 0.9911368489265442]
+Nc1ccn2ncc(-c3ccc(-c4ccc(O)cc4O)cc3)c2n1; ['Nc1ccn2nccc2n1']; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; [0.9843747615814209]
 Nc1ccn2ncc(-c3cn[nH]c3Cl)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc(-c4ccc(O)cc4O)cc3)c2n1; [None]; [None]; [0]
-COc1cc(-c2cnn3ccc(N)nc23)ccc1O; [None]; [None]; [0]
 Nc1ccn2ncc(-c3ccc(C(=O)[O-])cc3)c2n1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2cnn3ccc(N)nc23)o1; [None]; [None]; [0]
-Nc1ccn2ncc(COc3cccc(Cl)c3)c2n1; [None]; [None]; [0]
-COc1cc(CCc2cnn3ccc(N)nc23)ccc1O; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cccc(Br)c3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc(O)cc3O)c2n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnn4ccc(N)nc34)cc2[nH]1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
-Nc1ccn2ncc(COc3ccccc3Cl)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc(F)c(Cl)c3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc([C@H](CO)c3ccccc3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(CCc3ccc(Cl)cc3)c2n1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccc(O)c(F)c3)c2n1; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; ['Oc1ccc(Br)cc1F', 'Oc1ccc(I)cc1F']; [0.9827594757080078, 0.9701874256134033]
+Nc1ccn2ncc(-c3ccc(O)cc3O)c2n1; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Nc1cc(-c2cnn3ccc(N)nc23)ccn1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccc(F)c(Cl)c3)c2n1; ['Fc1ccc(Br)cc1Cl', 'Fc1ccc(I)cc1Cl']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999670386314392, 0.9996387958526611]
+COc1cc(CCc2cnn3ccc(N)nc23)ccc1O; [None]; [None]; [0]
+Nc1ccn2ncc(COc3ccccc3Cl)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cc(O)ccc3Cl)c2n1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
-Nc1ccn2ncc(-c3c(Cl)ccc4c3OCO4)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3[nH]cnc3-c3ccc(F)cc3)c2n1; [None]; [None]; [0]
 NC(=O)c1cc(-c2cnn3ccc(N)nc23)c[nH]1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cnn2ccc(N)nc12; ['Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1B(O)O']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9867184162139893, 0.8806718587875366]
 Nc1ccn2ncc(-c3cnc(O)c(Cl)c3)c2n1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
-COc1ccc(-c2cnn3ccc(N)nc23)cc1OC; [None]; [None]; [0]
+COc1ccc(-c2cnn3ccc(N)nc23)cc1OC; ['COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.999885082244873, 0.9994510412216187]
+COc1cc(OC)cc(-c2cnn3ccc(N)nc23)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999827146530151, 0.9998341798782349, 0.9992259740829468]
+CCOc1cccc(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3cnn4ccc(N)nc34)ccc12; [None]; [None]; [0]
+COc1cc(CCc2cnn3ccc(N)nc23)cc(OC)c1; ['COc1cc(CCBr)cc(OC)c1']; ['Nc1ccn2nccc2n1']; [0.9925132393836975]
 Cc1nc2ccc(-c3cnn4ccc(N)nc34)cc2[nH]1; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cncc(O)c3)c2n1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnn3ccc(N)nc23)cc1; ['NC(=O)Nc1ccc(Br)cc1']; ['Nc1ccn2nccc2n1']; [0.9898770451545715]
+Nc1ccn2ncc(-c3cncc(O)c3)c2n1; ['Nc1ccn2nccc2n1']; ['Oc1cncc(Br)c1']; [0.8904753923416138]
+Nc1ccn2ncc(-c3ccc4c(c3)CC(=O)N4)c2n1; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; ['O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9995830655097961, 0.9436415433883667, 0.9227795600891113]
+CCc1cc(O)ccc1-c1cnn2ccc(N)nc12; ['CCc1cc(O)ccc1Br']; ['Nc1ccn2nccc2n1']; [0.9815199971199036]
 C[C@H](CC(N)=O)c1cnn2ccc(N)nc12; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc4c(c3)CC(=O)N4)c2n1; [None]; [None]; [0]
 CNc1nccc(-c2cnn3ccc(N)nc23)n1; [None]; [None]; [0]
-CCc1cc(O)ccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cnn2ccc(N)nc12; ['Cc1cc(O)ccc1Br']; ['Nc1ccn2nccc2n1']; [0.991021990776062]
 Cc1n[nH]c2cc(N(C)c3cnn4ccc(N)nc34)ccc12; [None]; [None]; [0]
-Cc1cc(O)ccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnn3ccc(N)nc23)c1C; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccncc3Cl)c2n1; [None]; [None]; [0]
+CCc1sccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cc(C(F)F)n[nH]3)c2n1; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1cnn2ccc(N)nc12; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cc(Cl)c(O)c(Cl)c3)c2n1; [None]; [None]; [0]
-CCc1sccc1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
 Nc1ccn2ncc(-c3ccc4c(c3)CCN4)c2n1; [None]; [None]; [0]
+CNc1nc(-c2cnn3ccc(N)nc23)ncc1F; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccc4[nH]c(=O)[nH]c4c3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cc(O)n4nccc4n3)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(Nc3ccncc3)c2n1; [None]; [None]; [0]
 Cc1oc(-c2cnn3ccc(N)nc23)cc1C(=O)[O-]; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc4[nH]c(=O)[nH]c4c3)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(-c3ccc(Br)cc3F)c2n1; ['Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.9999603033065796, 0.9995619058609009]
+CNC(=O)c1ccc(-c2cnn3ccc(N)nc23)cc1; ['CNC(=O)c1ccc(I)cc1']; ['Nc1ccn2nccc2n1']; [0.9887725710868835]
 Cn1ncc(N)c1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
-Nc1ccn2ncc(Nc3ccncc3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc(Br)cc3F)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3[nH]nc4ccc(F)cc34)c2n1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cnn3ccc(N)nc23)c1C; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnn3ccc(N)nc23)cc1; [None]; [None]; [0]
-CN(c1cccc2[nH]ncc12)c1cnn2ccc(N)nc12; [None]; [None]; [0]
-Nc1ccn2ncc(-c3cc(O)cc(Br)c3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3ccc(C(=O)NC4CC4)cc3)c2n1; [None]; [None]; [0]
-Cc1cc(-c2cnn3ccc(N)nc23)ccc1C(N)=O; [None]; [None]; [0]
+Nc1ccn2ncc(-c3cc(O)cc(Br)c3)c2n1; ['Nc1ccn2nccc2n1']; ['Oc1cc(Br)cc(I)c1']; [0.9493316411972046]
+Cc1cc(-c2cnn3ccc(N)nc23)ccc1C(N)=O; ['Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O']; ['Nc1ccn2nccc2n1', 'Nc1ccn2nccc2n1']; [0.999600887298584, 0.9450005888938904]
+CN(c1cccc2[nH]ncc12)c1cnn2ccc(N)nc12; [None]; [None]; [0]
+Nc1ccn2ncc(-c3[nH]nc4ccc(F)cc34)c2n1; [None]; [None]; [0]
 Cc1nc2ccc(-c3cnn4ccc(N)nc34)cc2o1; [None]; [None]; [0]
+CSc1cccc(-c2cnn3ccc(N)nc23)c1; ['CSc1cccc(Br)c1']; ['Nc1ccn2nccc2n1']; [0.9996534585952759]
+Nc1ccn2ncc(OCc3cccc4ccccc34)c2n1; ['Nc1ccn2nccc2n1']; ['OCc1cccc2ccccc12']; [0.9576281309127808]
+Cc1cc(-c2cnn3ccc(N)nc23)cc(C)c1O; [None]; [None]; [0]
 Nc1ccn2ncc(-c3cc(F)c(O)c(F)c3)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(-c3ccc4c(=O)[nH][nH]c4c3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3[nH]cnc3-c3ccc(F)cc3)c2n1; [None]; [None]; [0]
-CSc1cccc(-c2cnn3ccc(N)nc23)c1; [None]; [None]; [0]
-Nc1ccn2ncc(OCc3ccccc3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(CCc3c[nH]c4ccccc34)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(OCc3cccc4ccccc34)c2n1; [None]; [None]; [0]
 Nc1ccn2ncc(Oc3ccc(F)cc3F)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ocnc3-c3ccc(F)cc3)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(Oc3ccccc3F)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(CCc3c[nH]c4ccccc34)c2n1; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1cnn2ccc(N)nc12; [None]; [None]; [0]
-Nc1ccn2ncc(-c3ccc(F)cc3Cl)c2n1; [None]; [None]; [0]
+Nc1ccn2ncc(CCc3ccc(F)cc3F)c2n1; ['Fc1ccc(CCBr)c(F)c1']; ['Nc1ccn2nccc2n1']; [0.9990426301956177]
+Nc1ccn2ncc(-c3ocnc3-c3ccc(F)cc3)c2n1; [None]; [None]; [0]
+CCOc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(C#N)cc1']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12', 'Cc1cnccc1Cl']; [0.9999915361404419, 0.9998710751533508, 0.8391932249069214]
+Nc1ccn2ncc(NCc3c(F)cccc3Cl)c2n1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9999982118606567]
 Nc1ccn2ncc(-c3cn[nH]c3-c3ccc(Cl)cc3)c2n1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; ['CS(=O)(=O)c1cccc(B(O)O)c1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.999984085559845]
 Nc1ccn2ncc(OCc3ccc(F)cc3F)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(CCc3ccc(F)cc3F)c2n1; [None]; [None]; [0]
-Nc1ccn2ncc(NCc3c(F)cccc3Cl)c2n1; [None]; [None]; [0]
+COc1cc(-c2cc3c(Cl)ccnc3[nH]2)cc(OC)c1OC; ['COc1cc(B(O)O)cc(OC)c1OC']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9930327534675598]
+COc1ncccc1-c1cc2c(Cl)ccnc2[nH]1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]ccc12']; [0.9997847080230713, 0.9988130927085876, 0.8635381460189819]
+COc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['COc1ccc(B(O)O)cc1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9998549818992615]
+Clc1ccnc2[nH]c(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc3c(Cl)ccnc3[nH]2)c1; ['Clc1ccnc2[nH]c(I)cc12']; ['N#Cc1ccc(O)c(B(O)O)c1']; [0.9995388984680176]
 Cc1nc(C(C)(C)O)sc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
+Oc1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cc4c(Cl)ccnc4[nH]3)c2c1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3nc4ccccc4[nH]3)cc12; ['Nc1ccccc1N']; ['O=C(O)c1cc2c(Cl)ccnc2[nH]1']; [0.7951476573944092]
+O=C(Nc1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1)C1CC1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+Cc1cc(Nc2cc3c(Cl)ccnc3[nH]2)sn1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['Clc1ccnc2[nH]c(I)cc12']; ['NC(=O)c1ccc(B(O)O)cc1']; [0.9998661875724792]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc4c(Cl)ccnc4[nH]3)cc2)CC1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(Nc3ncccn3)cc12; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['CC(=O)NCc1ccc(B(O)O)cc1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9999303817749023]
+OCCOc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Clc1ccnc2[nH]c(I)cc12']; ['Clc1ccnc2[nH]c(I)cc12', 'OCCOc1ccc(B(O)O)cc1']; [0.9999984502792358, 0.9999305009841919]
+Clc1ccnc2[nH]c(-c3nccc4ccccc34)cc12; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cc4c(Cl)ccnc4[nH]3)cn2)c1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3cccc(C4CCNCC4)c3)cc12; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(Nc3ccncn3)cc12; [None]; [None]; [0]
+O=C(c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1)N1CCOCC1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['Clc1ccnc2[nH]c(I)cc12']; ['OB(O)c1ccc(C(F)(F)F)cc1']; [0.9999890327453613]
+C[C@H](O)COc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2cc3c(Cl)ccnc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12']; [0.9999985694885254, 0.9999139308929443]
+C[C@@H](O)COc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3cc4c(Cl)ccnc4[nH]3)cc2C1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3ccc(Br)cc3)cc12; ['Clc1ccnc2[nH]c(I)cc12']; ['OB(O)c1ccc(Br)cc1']; [0.9999029636383057]
+Cc1nc(C)c(-c2cc3c(Cl)ccnc3[nH]2)s1; [None]; [None]; [0]
+CCCOc1ccc(-c2cc3c(Cl)ccnc3[nH]2)nc1; [None]; [None]; [0]
 CC(C)c1cc(-c2cc3c(Cl)ccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cc4c(Cl)ccnc4[nH]3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cc3c(Cl)ccnc3[nH]2)nc1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2cc3c(Cl)ccnc3[nH]2)C1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc2c(Cl)ccnc2[nH]1; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]ccc12']; [0.9997335076332092, 0.9993078708648682, 0.9026917219161987]
+Clc1ccnc2[nH]c(-c3ccccc3-n3cccn3)cc12; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Clc1ccnc2[nH]c(I)cc12', 'Brc1ccccc1-n1cccn1']; ['Clc1ccnc2[nH]c(I)cc12', 'OB(O)c1ccccc1-n1cccn1', 'Clc1ccnc2[nH]ccc12']; [0.9999994039535522, 0.9999439716339111, 0.9966603517532349]
+CNS(=O)(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)c(C)c1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3ccn4nccc4n3)cc12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9995622634887695]
+COc1cc(OC)c(-c2cc3c(Cl)ccnc3[nH]2)cc1Cl; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3ccc4c(c3)CCO4)cc12; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Clc1ccnc2[nH]c(I)cc12', 'Brc1ccc2c(c1)CCO2', 'Clc1ccnc2[nH]ccc12']; ['Clc1ccnc2[nH]c(I)cc12', 'OB(O)c1ccc2c(c1)CCO2', 'Clc1ccnc2[nH]ccc12', 'Ic1ccc2c(c1)CCO2']; [0.9999933242797852, 0.9999449253082275, 0.9643329977989197, 0.8445062041282654]
 CC(C)c1ccc2nc(-c3cc4c(Cl)ccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cc4c(Cl)ccnc4[nH]3)nc2c1F; [None]; [None]; [0]
+COc1cc(-c2cc3c(Cl)ccnc3[nH]2)ccc1O; ['COc1cc(B(O)O)ccc1O']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9993518590927124]
+CC(C)(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['CC(C)(C)c1ccc(B(O)O)cc1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9999831318855286]
+Clc1ccnc2[nH]c(-c3cccc4c3OCO4)cc12; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Clc1ccnc2[nH]c(I)cc12']; ['Clc1ccnc2[nH]c(I)cc12', 'OB(O)c1cccc2c1OCO2']; [0.9999722242355347, 0.9986875057220459]
+Clc1ccnc2[nH]c(-c3cnc4ccccc4c3)cc12; ['Clc1ccnc2[nH]c(I)cc12']; ['OB(O)c1cnc2ccccc2c1']; [0.9999037981033325]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3cc(-c4ccccc4)[nH]n3)cc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cn1; ['CC(C)(C)c1ccc(B(O)O)cn1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9999909400939941]
+CN(C)C(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12']; [1.0, 0.9999779462814331]
+Nc1nc(-c2cc3c(Cl)ccnc3[nH]2)cs1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3scc4c3OCCO4)cc12; [None]; [None]; [0]
+CSc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12']; [0.9999972581863403, 0.9994292855262756]
+Clc1ccnc2[nH]c(-c3cc4ccccc4s3)cc12; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc4c(Cl)ccnc4[nH]3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9999797344207764]
+Clc1cccc(-n2ccc(-c3cc4c(Cl)ccnc4[nH]3)n2)c1; [None]; [None]; [0]
+CC1(COc2cc3c(Cl)ccnc3[nH]2)COC1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
+Fc1ccc(-c2cc3c(Cl)ccnc3[nH]2)c(Cl)c1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'CC(=O)c1ccc(F)cc1Cl']; ['Clc1ccnc2[nH]c(I)cc12', 'OB(O)c1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(I)c(Cl)c1', 'NNc1cc(Cl)ccn1']; [0.9999961853027344, 0.9996063113212585, 0.9980173707008362, 0.992007851600647, 0.8428640365600586]
+CCc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['CCc1ccc(B(O)O)cc1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9990973472595215]
+Cc1cc(-c2cc3c(Cl)ccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+COc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; [0.9995409250259399, 0.927099347114563, 0.8007479906082153]
+O=C1CCc2cc(-c3cc4c(Cl)ccnc4[nH]3)ccc2N1; ['Clc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(I)ccc2N1']; [0.9567590951919556, 0.9367917776107788]
+COc1ccc(CNc2cc3c(Cl)ccnc3[nH]2)cc1; ['COc1ccc(CN)cc1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9803782105445862]
+Clc1ccc(-c2cc3c(Cl)ccnc3[nH]2)c(Cl)c1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Clc1ccnc2[nH]c(I)cc12', 'Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'CC(=O)c1ccc(Cl)cc1Cl']; ['Clc1ccnc2[nH]c(I)cc12', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12', 'NNc1cc(Cl)ccn1']; [0.9999855756759644, 0.9987099170684814, 0.9442956447601318, 0.8779652118682861, 0.866546630859375]
+Clc1ccnc2[nH]c(-c3ncc(Br)cn3)cc12; [None]; [None]; [0]
+COc1cc(-c2cc3c(Cl)ccnc3[nH]2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9999967813491821]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2cc3c(Cl)ccnc3[nH]2)C1; [None]; [None]; [0]
+Cn1cc(-c2cc3c(Cl)ccnc3[nH]2)c(C(F)(F)F)n1; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]ccc12', 'Clc1ccnc2[nH]ccc12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; [0.9999994039535522, 0.9999722242355347, 0.82952880859375, 0.786676824092865]
+Oc1ccc2cccc(-c3cc4c(Cl)ccnc4[nH]3)c2c1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cc4c(Cl)ccnc4[nH]3)c2c1; ['COc1ccc2cccc(Br)c2c1']; ['Clc1ccnc2[nH]ccc12']; [0.9274352192878723]
+Clc1ccnc2[nH]c(-c3cc4ccccn4n3)cc12; [None]; [None]; [0]
+COc1cc(F)c(-c2cc3c(Cl)ccnc3[nH]2)cc1OC; ['COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]ccc12']; [0.9999438524246216, 0.7685457468032837]
+CC1(C)Cc2cc(-c3cc4c(Cl)ccnc4[nH]3)ccc2O1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3ncc4cccn4n3)cc12; [None]; [None]; [0]
+COc1cc(-c2cc3c(Cl)ccnc3[nH]2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(I)ccc1Cl']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]ccc12']; [0.9999996423721313, 0.9997022747993469, 0.9199665784835815]
+CNC(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+OCCn1cc(-c2cc3c(Cl)ccnc3[nH]2)cn1; [None]; [None]; [0]
+Clc1cnc(-c2cc3c(Cl)ccnc3[nH]2)nc1; [None]; [None]; [0]
 Nc1cc(-c2cc3c(Cl)ccnc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
+Cc1csc2c(-c3cc4c(Cl)ccnc4[nH]3)ncnc12; [None]; [None]; [0]
+COc1cc(-c2cc3c(Cl)ccnc3[nH]2)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9891622066497803]
+Cc1nc(Nc2cc3c(Cl)ccnc3[nH]2)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2cc3c(Cl)ccnc3[nH]2)nn1C; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)nc1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cc3c(Cl)ccnc3[nH]1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cc4c(Cl)ccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
-Clc1ccnc2[nH]c(-c3ncn4c3CCCC4)cc12; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3cc4c(Cl)ccnc4[nH]3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cc4c(Cl)ccnc4[nH]3)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1cc2c(Cl)ccnc2[nH]1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cc4c(Cl)ccnc4[nH]3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
-Cn1nc(-c2cc3c(Cl)ccnc3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2cc3c(Cl)ccnc3[nH]2)ncc1F; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cccc(C(N)=O)n3)cc2)CC1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc3c(c2)CS(=O)(=O)C3)n1; [None]; [None]; [0]
-CC(C)c1cc(-c2cccc(C(N)=O)n2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3cccc(C(N)=O)n3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cccc(C(N)=O)n2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cccc(C(N)=O)n3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cc(N)nc3[nH]ccc23)n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)n1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cccc(C(N)=O)n1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cccc(C(N)=O)n2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cccc(C(N)=O)n3)[nH]c2c1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ncn3c2CCCC3)n1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cccc(C(N)=O)n3)cn2)CC1; [None]; [None]; [0]
-NC(=O)c1cccc(NC(=O)c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cccc(C(N)=O)n3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-Cn1nc(-c2cccc(C(N)=O)n2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1c(-c2cccc(C(N)=O)n2)sc(=O)n1C; [None]; [None]; [0]
-NC(=O)c1cccc(-n2ncc3cccc(F)c3c2=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cnn3ncccc23)n1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccc(C(N)=O)n2)o1; [None]; [None]; [0]
-CN1c2ccc(-c3cccc(C(N)=O)n3)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2cccc(C(N)=O)n2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cccc(C(N)=O)n2)nn1; [None]; [None]; [0]
-NC(=O)c1cccc(CCc2c[nH]nn2)n1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cccc(C(N)=O)n1; [None]; [None]; [0]
-CC(C)(COc1cccc(C(N)=O)n1)S(C)(=O)=O; [None]; [None]; [0]
-NC(=O)c1cccc(NC(=O)c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)n1; [None]; [None]; [0]
-C[C@@H](Oc1cccc(C(N)=O)n1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cc3c(=O)[nH]cc(Br)c3s2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(Nc2cnccc2-c2ccccc2)n1; [None]; [None]; [0]
-CN(c1cccc(C(N)=O)n1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-C[C@H](Nc1cccc(C(N)=O)n1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-NC(=O)c1cccc(Cc2nnc3ccc(-c4ccccc4)nn23)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2ccn(CC[NH3+])n2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(CS(=O)(=O)NCc2ccccn2)n1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1cccc(C(N)=O)n1; [None]; [None]; [0]
-NC(=O)c1cccc(Oc2ccc(C[NH3+])cc2F)n1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cccc(C(N)=O)n3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc(C(N)=O)n3)c2)cc1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc3nnsc23)n1; [None]; [None]; [0]
-COc1ccc(Oc2cccc(C(N)=O)n2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccc(C(N)=O)n2)n1; [None]; [None]; [0]
-NC(=O)c1cccc(-c2cccc(NC(=O)C3CCNCC3)c2)n1; [None]; [None]; [0]
+O=C(Nc1cc2c(Cl)ccnc2[nH]1)c1ccco1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc3c(Cl)ccnc3[nH]2)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12']; [0.9999787211418152, 0.9995070695877075]
+CO[C@@H]1CC[C@@H](c2cc3c(Cl)ccnc3[nH]2)CC1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3ccc4cn[nH]c4c3)cc12; ['Clc1ccnc2[nH]c(I)cc12']; ['OB(O)c1ccc2cn[nH]c2c1']; [0.9999729990959167]
+O=C(Nc1cn[nH]c1)c1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
+CCn1cc(-c2cc3c(Cl)ccnc3[nH]2)cn1; ['CCn1cc(B(O)O)cn1']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9960708022117615]
+COc1ccc2c(c1)c(-c1cc3c(Cl)ccnc3[nH]1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cc4c(Cl)ccnc4[nH]3)cc2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3cc(-c4cccnc4)ccn3)cc12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cc2c(Cl)ccnc2[nH]1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1Br']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]ccc12']; [0.9999943971633911, 0.8034334182739258]
+Clc1ccnc2[nH]c(-c3ncc4sccc4n3)cc12; [None]; [None]; [0]
+Clc1ccnc2[nH]c(-c3cc4ccccc4o3)cc12; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['Clc1ccnc2[nH]c(I)cc12', 'Cc1cnccc1Cl']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'N#Cc1ccc(OC(F)(F)F)cc1']; [0.9999895095825195, 0.9971915483474731]
+COc1ccc(F)c(C(=O)Nc2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc2nc(-c3cc4c(Cl)ccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc4c(Cl)ccnc4[nH]3)ccc21; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]ccc12']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; [1.0, 0.9999985694885254, 0.7978758811950684]
+Clc1ccnc2[nH]c(-c3ncn4c3CCCC4)cc12; [None]; [None]; [0]
+CCc1cccc(-c2cc3c(Cl)ccnc3[nH]2)n1; [None]; [None]; [0]
+Cc1cc(-c2cc3c(Cl)ccnc3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1cc(-c2cc3c(Cl)ccnc3[nH]2)c2ccccc21; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cc4c(Cl)ccnc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12']; [1.0, 0.9999819993972778]
+Cn1nc(Cl)c2cc(-c3cc4c(Cl)ccnc4[nH]3)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cc4c(Cl)ccnc4[nH]3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12']; ['Clc1ccnc2[nH]c(I)cc12', 'Clc1ccnc2[nH]c(I)cc12']; [1.0, 0.9999942779541016]
+OCCc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9999966025352478]
+O=C1CCCN1c1cccc(-c2cc3c(Cl)ccnc3[nH]2)c1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['Clc1ccnc2[nH]c(I)cc12']; [0.9999849796295166]
+Cc1ncc(-c2ccc(-c3cc4c(Cl)ccnc4[nH]3)cc2)n1C; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)c(Cl)c1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cc4c(Cl)ccnc4[nH]3)cn2)CC1; [None]; [None]; [0]
+O=C(Nc1cc2c(Cl)ccnc2[nH]1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+Cc1cc(Nc2cc3c(Cl)ccnc3[nH]2)ncc1F; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)c(OC)c1; [None]; [None]; [0]
+Fc1ccc(Nc2cc3c(Cl)ccnc3[nH]2)nc1; [None]; [None]; [0]
+Clc1ccnc2[nH]c(Nc3ccccn3)cc12; [None]; [None]; [0]
+CNC(=O)c1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['CNC(=O)c1ccccc1N']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.9999181628227234]
+CCNC(=O)Cc1ccc(-c2cc3c(Cl)ccnc3[nH]2)cc1; [None]; [None]; [0]
+CCOc1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['CCOc1ccccc1N', 'CCOc1ccccc1N']; ['Clc1ncnc2sc3c(c12)CCC3', 'Oc1ncnc2sc3c(c12)CCC3']; [0.9999769926071167, 0.9999507069587708]
+CN(C)C(=O)c1ccc(-c2cc3c(Cl)ccnc3[nH]2)nc1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['CC(C)S(=O)(=O)c1ccccc1N']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.9999831914901733]
+Cn1nc(-c2cc3c(Cl)ccnc3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['CP(C)(=O)c1ccccc1N', 'CP(C)(=O)c1ccccc1N']; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3']; [0.9999969005584717, 0.9999616742134094]
+c1ccc2c(Nc3ncnc4sc5c(c34)CCC5)ccnc2c1; ['Nc1ccnc2ccccc12', 'Clc1ncnc2sc3c(c12)CCC3', 'Clc1ccnc2ccccc12']; ['Oc1ncnc2sc3c(c12)CCC3', 'Nc1ccnc2ccccc12', 'Nc1ncnc2sc3c(c12)CCC3']; [0.9999932050704956, 0.9999927282333374, 0.9998996257781982]
+FC(F)(F)c1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1cccc(C(F)(F)F)c1']; ['Nc1cccc(C(F)(F)F)c1', 'Oc1ncnc2sc3c(c12)CCC3']; [0.9999985694885254, 0.9999963641166687]
+CCn1cc(Nc2ncnc3sc4c(c23)CCC4)cn1; ['CCn1cc(N)cn1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.9999916553497314]
+CS(=O)(=O)c1ccc(Cl)c(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)c1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['NC(=O)c1ccccc1N']; [0.999936580657959]
+c1ccc(Cn2cc(Nc3ncnc4sc5c(c34)CCC5)cn2)cc1; ['Clc1ncnc2sc3c(c12)CCC3', 'Brc1cnn(Cc2ccccc2)c1']; ['Nc1cnn(Cc2ccccc2)c1', 'Nc1ncnc2sc3c(c12)CCC3']; [0.9999954700469971, 0.9999883770942688]
+O=C([O-])c1ccccc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2Nc2ncnc3sc4c(c23)CCC4)[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cc3c(Cl)ccnc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc(F)cc1[C@@H](C)Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
+Cn1cnc2ccc(Nc3ncnc4sc5c(c34)CCC5)cc2c1=O; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc2c(Cl)ccnc2[nH]1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1)c1ccccc1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cccc(NC(=O)c2ccccc2)c1']; [0.9999998211860657]
+c1ccc(-c2ncc(Nc3ncnc4sc5c(c34)CCC5)[nH]2)cc1; [None]; [None]; [0]
+COc1cnc(Nc2ncnc3sc4c(c23)CCC4)nc1; ['COc1cnc(Cl)nc1', 'COc1cnc(N)nc1', 'COc1cnc(N)nc1']; ['Nc1ncnc2sc3c(c12)CCC3', 'Clc1ncnc2sc3c(c12)CCC3', 'Oc1ncnc2sc3c(c12)CCC3']; [0.9999967217445374, 0.9999816417694092, 0.9998514652252197]
+Cc1ccc(Nc2ncnc3sc4c(c23)CCC4)c(Br)c1; ['Cc1ccc(N)c(Br)c1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.9999967217445374]
+FC(F)(F)Oc1ccccc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
+c1ccn2c(Nc3ncnc4sc5c(c34)CCC5)cnc2c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cnc2ccccn12']; [0.9999970197677612]
+Cc1nc2ccccn2c1Nc1ncnc2sc3c(c12)CCC3; ['Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1N', 'Cc1nc2ccccn2c1N']; ['Clc1ncnc2sc3c(c12)CCC3', 'Oc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999995231628418, 0.9999856352806091, 0.9995707273483276]
+OCCn1cc(Nc2ncnc3sc4c(c23)CCC4)cn1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3']; ['Nc1cnn(CCO)c1', 'OCCn1cc(Br)cn1']; [0.9999997019767761, 0.9999808073043823]
+Cc1nc(C)c(Nc2ncnc3sc4c(c23)CCC4)s1; [None]; [None]; [0]
+Clc1cccc(Cl)c1Nc1ncnc2sc3c(c12)CCC3; ['Nc1c(Cl)cccc1Cl', 'Clc1ncnc2sc3c(c12)CCC3']; ['Oc1ncnc2sc3c(c12)CCC3', 'Nc1c(Cl)cccc1Cl']; [0.9999942779541016, 0.999982476234436]
+c1cc(Cn2cncn2)cc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1cccc(Cn2cncn2)c1']; ['Nc1cccc(Cn2cncn2)c1', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [1.0, 0.999998927116394]
+Brc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cccc(Br)c1']; [0.9999982118606567]
+Cc1ccc(Cl)c(Nc2ncnc3sc4c(c23)CCC4)c1; ['Cc1ccc(Cl)c(N)c1', 'Cc1ccc(Cl)c(N)c1']; ['Oc1ncnc2sc3c(c12)CCC3', 'Clc1ncnc2sc3c(c12)CCC3']; [0.9999580383300781, 0.9997043609619141]
+N[C@H](Nc1ncnc2sc3c(c12)CCC3)c1ccco1; [None]; [None]; [0]
+CC(C)(C)c1nc(Nc2ncnc3sc4c(c23)CCC4)cs1; [None]; [None]; [0]
+Nc1nccc(Nc2ncnc3sc4c(c23)CCC4)n1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1nccc(Cl)n1']; ['Nc1ccnc(N)n1', 'Nc1ncnc2sc3c(c12)CCC3']; [0.9999790191650391, 0.9999664425849915]
+c1ccc2cc(Nc3ncnc4sc5c(c34)CCC5)ccc2c1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ccc2ccccc2c1']; ['Nc1ccc2ccccc2c1', 'Oc1ncnc2sc3c(c12)CCC3']; [0.9999892711639404, 0.9999656677246094]
+c1cnn2ncc(Nc3ncnc4sc5c(c34)CCC5)c2c1; ['Brc1cnn2ncccc12']; ['Nc1ncnc2sc3c(c12)CCC3']; [1.0]
+Clc1ccc(Cl)c(Nc2ncnc3sc4c(c23)CCC4)c1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['NC(=O)c1c(N)cccc1F']; [0.9999984502792358]
+Cc1nc(N)sc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1c[nH]nc1C(F)(F)F']; [0.999998927116394]
+c1cnn2c(Nc3ncnc4sc5c(c34)CCC5)cnc2c1; [None]; [None]; [0]
+c1ccc2c(Nc3ncnc4sc5c(c34)CCC5)cncc2c1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1cncc2ccccc12', 'Nc1cncc2ccccc12']; ['Nc1cncc2ccccc12', 'Oc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999992847442627, 0.9999990463256836, 0.9999212622642517]
+CNc1nc(C)c(Nc2ncnc3sc4c(c23)CCC4)s1; [None]; [None]; [0]
+Cn1cc(-c2ccc(Nc3ncnc4sc5c(c34)CCC5)cc2)cn1; ['Clc1ncnc2sc3c(c12)CCC3', 'Cn1cc(-c2ccc(N)cc2)cn1']; ['Cn1cc(-c2ccc(N)cc2)cn1', 'Oc1ncnc2sc3c(c12)CCC3']; [1.0, 1.0]
+Cn1ncc2cc(Nc3ncnc4sc5c(c34)CCC5)ccc21; ['Cn1ncc2cc(Br)ccc21', 'Clc1ncnc2sc3c(c12)CCC3', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(N)ccc21']; ['Nc1ncnc2sc3c(c12)CCC3', 'Cn1ncc2cc(N)ccc21', 'Oc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [1.0, 0.9999996423721313, 0.9999995231628418, 0.999996542930603]
+Oc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1cccc(O)c1']; ['Nc1cccc(O)c1', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999940395355225, 0.9998743534088135]
 Cc1c(Nc2ncnc3sc4c(c23)CCC4)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(Nc3ncnc4sc5c(c34)CCC5)c2c1; [None]; [None]; [0]
+c1nc(Nc2ccc(-c3cn[nH]c3)cc2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3', 'Brc1ccc(-c2cn[nH]c2)cc1', 'Nc1ccc(-c2cn[nH]c2)cc1']; ['Nc1ccc(-c2cn[nH]c2)cc1', 'Nc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999996423721313, 0.9999996423721313, 0.9999915361404419]
 CN1c2ccc(Nc3ncnc4sc5c(c34)CCC5)cc2CS1(=O)=O; [None]; [None]; [0]
+CC(C)n1cc(Nc2ncnc3sc4c(c23)CCC4)nn1; ['CC(C)n1cc(N)nn1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.9999992251396179]
+OCc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cccc(CO)c1']; [0.9999921917915344]
+CC(C)(C)c1cnc(CNc2ncnc3sc4c(c23)CCC4)o1; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3ncnc4sc5c(c34)CCC5)cc2c1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cc2ccccc2[nH]1']; [0.9999257326126099]
+c1ncc2c(Nc3ncnc4sc5c(c34)CCC5)csc2n1; [None]; [None]; [0]
+Nc1[nH]nc2cc(Nc3ncnc4sc5c(c34)CCC5)ccc12; [None]; [None]; [0]
 COc1cc(Nc2ncnc3sc4c(c23)CCC4)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(Nc2ncnc3sc4c(c23)CCC4)nn1; [None]; [None]; [0]
+CCCn1cnc(Nc2ncnc3sc4c(c23)CCC4)n1; [None]; [None]; [0]
+N#CCCc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['N#CCCc1cccc(Br)c1']; ['Nc1ncnc2sc3c(c12)CCC3']; [0.9999769330024719]
+CSc1nc(Nc2ncnc3sc4c(c23)CCC4)c[nH]1; [None]; [None]; [0]
+Nc1ncncc1Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1cncnc1N']; ['Nc1cncnc1N', 'Oc1ncnc2sc3c(c12)CCC3']; [0.9999988079071045, 0.9999771118164062]
+CC[C@H](CO)Nc1ncnc2sc3c(c12)CCC3; ['CC[C@@H](N)CO']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.9999294281005859]
+CCC(=O)Nc1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['CCC(=O)Nc1ccc(N)cc1', 'CCC(=O)Nc1ccc(N)cc1']; ['Clc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999878406524658, 0.999950647354126]
+CCNc1nc2ccc(Nc3ncnc4sc5c(c34)CCC5)cc2s1; [None]; [None]; [0]
+COc1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1Cl; ['COc1ccc(N)cc1Cl', 'COc1ccc(N)cc1Cl']; ['Oc1ncnc2sc3c(c12)CCC3', 'Clc1ncnc2sc3c(c12)CCC3']; [0.9999955892562866, 0.9999750256538391]
+c1ccn2ncc(Nc3ncnc4sc5c(c34)CCC5)c2c1; ['Clc1ncnc2sc3c(c12)CCC3', 'Brc1cnn2ccccc12', 'Nc1cnn2ccccc12']; ['Nc1cnn2ccccc12', 'Nc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [1.0, 0.9999990463256836, 0.9999985694885254]
+CC(C)c1oncc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
+CC(=O)Nc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(N)c1']; ['Clc1ncnc2sc3c(c12)CCC3', 'Oc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999986886978149, 0.9999949932098389, 0.9999853372573853, 0.9998812675476074]
+CCCn1cc(Nc2ncnc3sc4c(c23)CCC4)cn1; ['CCCn1cc(N)cn1', 'CCCn1cc(Br)cn1']; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3']; [0.9999995827674866, 0.9999980926513672]
+O=C1CCc2cccc(Nc3ncnc4sc5c(c34)CCC5)c21; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1cccc2c1C(=O)CC2']; [0.9999772906303406]
+CS(=O)(=O)c1cccc(CNc2ncnc3sc4c(c23)CCC4)c1; ['CS(=O)(=O)c1cccc(CN)c1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.9999997615814209]
 [NH3+]Cc1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1C(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(Nc2ncnc3sc4c(c23)CCC4)n1; [None]; [None]; [0]
+O=c1cc(Nc2ncnc3sc4c(c23)CCC4)cc[nH]1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1cc[nH]c(=O)c1', 'Nc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3', 'Nc1cc[nH]c(=O)c1']; ['Nc1cc[nH]c(=O)c1', 'Oc1ncnc2sc3c(c12)CCC3', 'O=c1cc(Br)cc[nH]1', 'O=c1cc(Cl)cc[nH]1', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [1.0, 0.9999994039535522, 0.9999921321868896, 0.9999881982803345, 0.9999457597732544]
+CCNS(=O)(=O)c1ccccc1Nc1ncnc2sc3c(c12)CCC3; ['CCNS(=O)(=O)c1ccccc1N', 'CCNS(=O)(=O)c1ccccc1Br']; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3']; [0.9996988773345947, 0.9989703297615051]
+CN(c1ncccc1CNc1ncnc2sc3c(c12)CCC3)S(C)(=O)=O; ['CN(c1ncccc1CN)S(C)(=O)=O', 'CN(c1ncccc1CN)S(C)(=O)=O']; ['Clc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [1.0, 0.9999760389328003]
+Cn1cc(Nc2ncnc3sc4c(c23)CCC4)c2ccccc21; [None]; [None]; [0]
+C[S@](=O)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['CS(=O)c1ccc(N)cc1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.999983549118042]
+CC(C)(C)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1']; ['Clc1ncnc2sc3c(c12)CCC3', 'Oc1ncnc2sc3c(c12)CCC3']; [0.9999990463256836, 0.9999971389770508]
+Fc1ccc(Nc2ncnc3sc4c(c23)CCC4)c(C(F)(F)F)c1; [None]; [None]; [0]
+COc1cccc(F)c1Nc1ncnc2sc3c(c12)CCC3; ['COc1cccc(F)c1N']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.9999970197677612]
+CC(C)Oc1cncc(Nc2ncnc3sc4c(c23)CCC4)c1; [None]; [None]; [0]
+Fc1cccc(F)c1CNc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
+O=c1[nH]ccc2oc(Nc3ncnc4sc5c(c34)CCC5)cc12; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)Nc1ncnc2sc3c(c12)CCC3; ['Clc1ncnc2sc3c(c12)CCC3']; ['N[C@H](CO)Cc1ccccc1']; [0.9999969005584717]
+c1cc2c(Nc3ncnc4sc5c(c34)CCC5)c[nH]c2cn1; ['Brc1c[nH]c2cnccc12']; ['Nc1ncnc2sc3c(c12)CCC3']; [0.9999993443489075]
+c1nc(Nc2cnc3[nH]ccc3c2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3', 'Brc1cnc2[nH]ccc2c1', 'Nc1cnc2[nH]ccc2c1']; ['Nc1cnc2[nH]ccc2c1', 'Nc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999978542327881, 0.9999949932098389, 0.9999098777770996]
+CC(C)(C)NS(=O)(=O)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(N)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(N)cc1']; ['Clc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999992251396179, 0.9999767541885376]
+CC1(Nc2ncnc3sc4c(c23)CCC4)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1']; ['Clc1ncnc2sc3c(c12)CCC3', 'Oc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.999997615814209, 0.9999809265136719, 0.9998639225959778]
+CS(=O)(=O)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; ['CS(=O)(=O)c1ccc(N)cc1', 'CS(=O)(=O)c1ccc(N)cc1']; ['Clc1ncnc2sc3c(c12)CCC3', 'Oc1ncnc2sc3c(c12)CCC3']; [0.9999992251396179, 0.999997615814209]
+c1nc(Nc2ccc(N3CCOCC3)cc2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1']; ['Nc1ccc(N2CCOCC2)cc1', 'Oc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [1.0, 0.9999998211860657, 0.9999955892562866]
+Fc1cccc(Cl)c1Nc1ncnc2sc3c(c12)CCC3; ['Nc1c(F)cccc1Cl', 'Clc1ncnc2sc3c(c12)CCC3']; ['Oc1ncnc2sc3c(c12)CCC3', 'Nc1c(F)cccc1Cl']; [0.9999994039535522, 0.999996542930603]
+Cc1cc(Nc2ncnc3sc4c(c23)CCC4)n(-c2cccc(Cl)c2)n1; ['Cc1cc(N)n(-c2cccc(Cl)c2)n1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.9988669157028198]
 O=c1[nH]cc(Br)c2sc(Nc3ncnc4sc5c(c34)CCC5)cc12; [None]; [None]; [0]
+c1nc(Nc2ccc(-n3cncn3)cc2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ccc(-n2cncn2)cc1', 'Nc1ccc(-n2cncn2)cc1']; ['Nc1ccc(-n2cncn2)cc1', 'Oc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [1.0, 0.9999996423721313, 0.999983549118042]
+COc1ccc(Nc2ncnc3sc4c(c23)CCC4)c(OC)c1; ['COc1ccc(N)c(OC)c1', 'COc1ccc(N)c(OC)c1']; ['Oc1ncnc2sc3c(c12)CCC3', 'Clc1ncnc2sc3c(c12)CCC3']; [0.9999604821205139, 0.9999493360519409]
+CC(C)(N)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; [None]; [None]; [0]
+OC[C@@H](Nc1ncnc2sc3c(c12)CCC3)c1ccccc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2ncnc3sc4c(c23)CCC4)CC1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
+CC(C)n1cnnc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
+CCc1cc(Nc2ncnc3sc4c(c23)CCC4)nc(N)n1; ['CCc1cc(Cl)nc(N)n1', 'CCc1cc(N)nc(N)n1']; ['Nc1ncnc2sc3c(c12)CCC3', 'Clc1ncnc2sc3c(c12)CCC3']; [0.999985933303833, 0.9999828934669495]
+c1nc(Nc2nncn2C2CC2)c2c3c(sc2n1)CCC3; [None]; [None]; [0]
+Nc1nnc(Nc2ncnc3sc4c(c23)CCC4)s1; ['Clc1ncnc2sc3c(c12)CCC3']; ['Nc1nnc(N)s1']; [0.9998030662536621]
+CC(C)(O)c1cccc(Nc2ncnc3sc4c(c23)CCC4)n1; ['CC(C)(O)c1cccc(Br)n1']; ['Nc1ncnc2sc3c(c12)CCC3']; [0.9999979734420776]
+CSc1nc(C)c(Nc2ncnc3sc4c(c23)CCC4)[nH]1; [None]; [None]; [0]
+c1ccc(Cn2cc(Nc3ncnc4sc5c(c34)CCC5)nn2)cc1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(Nc2ncnc3sc4c(c23)CCC4)cc1; [None]; [None]; [0]
+c1ccc2sc(Nc3ncnc4sc5c(c34)CCC5)nc2c1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1nc2ccccc2s1']; ['Nc1nc2ccccc2s1', 'Oc1ncnc2sc3c(c12)CCC3']; [0.9999989867210388, 0.9999974966049194]
+CCCCc1cc(Nc2ncnc3sc4c(c23)CCC4)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1Nc1ncnc2sc3c(c12)CCC3; [None]; [None]; [0]
-CC1(C)Oc2ccc(Nc3ncnc4sc5c(c34)CCC5)nc2NC1=O; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(Nc2ncnc3sc4c(c23)CCC4)CC1; [None]; [None]; [0]
+CC1(C)Oc2ccc(Nc3ncnc4sc5c(c34)CCC5)nc2NC1=O; ['CC1(C)Oc2ccc(N)nc2NC1=O', 'CC1(C)Oc2ccc(Br)nc2NC1=O']; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3']; [0.9999101758003235, 0.999891459941864]
+Nc1cncc(Nc2ncnc3sc4c(c23)CCC4)n1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1cncc(Cl)n1', 'Nc1cncc(Br)n1']; ['Nc1cncc(N)n1', 'Nc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3']; [1.0, 0.9999973773956299, 0.9999821782112122]
+c1cc(Nc2ncnc3sc4c(c23)CCC4)c2snnc2c1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1cccc2nnsc12']; ['Nc1cccc2nnsc12', 'Oc1ncnc2sc3c(c12)CCC3']; [0.9999995231628418, 0.9999984502792358]
+[NH3+]CCn1ccc(Nc2ncnc3sc4c(c23)CCC4)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2ncnc3sc4c(c23)CCC4)s1; [None]; [None]; [0]
+c1ccc2nc(Nc3ncnc4sc5c(c34)CCC5)ncc2c1; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ncc2ccccc2n1']; ['Nc1ncc2ccccc2n1', 'Oc1ncnc2sc3c(c12)CCC3']; [0.9999997615814209, 0.9999969005584717]
 CNC(=O)c1ccc(NC(=O)c2cccc(Nc3ncnc4sc5c(c34)CCC5)c2)cc1; [None]; [None]; [0]
+c1cc(Nc2ncnc3sc4c(c23)CCC4)c2sccc2c1; [None]; [None]; [0]
+O=C(NCCCNc1ncnc2sc3c(c12)CCC3)c1cccs1; [None]; [None]; [0]
+COc1ccc(C#N)cc1Nc1ncnc2sc3c(c12)CCC3; ['COc1ccc(C#N)cc1N', 'COc1ccc(C#N)cc1N']; ['Clc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999996423721313, 0.9999558925628662]
+c1nc(Nc2ncc3cc[nH]c3n2)c2c3c(sc2n1)CCC3; ['Clc1ncnc2sc3c(c12)CCC3', 'Clc1ncc2cc[nH]c2n1']; ['Nc1ncc2cc[nH]c2n1', 'Nc1ncnc2sc3c(c12)CCC3']; [1.0, 0.9999996423721313]
+c1cnc2c(Nc3ncnc4sc5c(c34)CCC5)c[nH]c2c1; ['Clc1ncnc2sc3c(c12)CCC3', 'Brc1c[nH]c2cccnc12']; ['Nc1c[nH]c2cccnc12', 'Nc1ncnc2sc3c(c12)CCC3']; [0.9999957084655762, 0.9999948740005493]
+COc1ccc(OC)c(Nc2ncnc3sc4c(c23)CCC4)c1; ['COc1ccc(OC)c(N)c1', 'COc1ccc(OC)c(N)c1']; ['Oc1ncnc2sc3c(c12)CCC3', 'Clc1ncnc2sc3c(c12)CCC3']; [0.9999946355819702, 0.9999891519546509]
 O=C(NCCCNc1ncnc2sc3c(c12)CCC3)C1CCC1; [None]; [None]; [0]
-c1cc(Nc2ncnc3sc4c(c23)CCC4)c2snnc2c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(Nc2ncnc3sc4c(c23)CCC4)n1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2ncnc3sc4c(c23)CCC4)c1)C1CCNCC1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc4ncccc4c3)cc2)CC1; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3ccc4ncccc4c3)cn2)c1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3ccc4ncccc4c3)cc2C1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3ccc4ncccc4c3)c2)CC1; [None]; [None]; [0]
-CC(C)c1cc(-c2ccc3ncccc3c2)nc(N)n1; [None]; [None]; [0]
-CCCOc1ccc(-c2ccc3ncccc3c2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3ccc4ncccc4c3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3ccc4ncccc4c3)nc2c1F; [None]; [None]; [0]
-O=C(C1CC1)N1CC(Nc2ccc3ncccc3c2)C1; [None]; [None]; [0]
-Nc1cc(-c2ccc3ncccc3c2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(-c2ccc3ncccc3c2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1ccc3ncccc3c1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2ccc3ncccc3c2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3ccc4ncccc4c3)[nH]c2c1; [None]; [None]; [0]
-c1cnc2ccc(-c3ncn4c3CCCC4)cc2c1; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3ccc4ncccc4c3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3ccc4ncccc4c3)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1ccc2ncccc2c1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3ccc4ncccc4c3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1ccc2ncccc2c1; [None]; [None]; [0]
-Cn1nc(-c2ccc3ncccc3c2)cc1C(C)(C)O; [None]; [None]; [0]
-Cc1cc(Nc2ccc3ncccc3c2)ncc1F; [None]; [None]; [0]
-Oc1ccc(-c2ccc(-c3ccc4ncccc4c3)cc2)c(O)c1; [None]; [None]; [0]
-c1cnc2ccc(-c3cnn4ncccc34)cc2c1; [None]; [None]; [0]
-Cc1n[nH]c2cc(N(C)c3ccc4ncccc4c3)ccc12; [None]; [None]; [0]
-Oc1cc(-c2ccc3ncccc3c2)nc2ccnn12; [None]; [None]; [0]
-Cc1oc(-c2ccc3ncccc3c2)cc1C(=O)[O-]; [None]; [None]; [0]
-CN(c1ccc2ncccc2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2-c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1CNc1ncnc2sc3c(c12)CCC3; ['CS(=O)(=O)Nc1ccccc1CN', 'CS(=O)(=O)Nc1ccccc1CN']; ['Clc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999957084655762, 0.9998787641525269]
+C[C@@]1(O)CC[C@H](Nc2ncnc3sc4c(c23)CCC4)CC1; ['C[C@]1(O)CC[C@@H](N)CC1']; ['Clc1ncnc2sc3c(c12)CCC3']; [0.9999934434890747]
+COc1ncccc1Nc1ncnc2sc3c(c12)CCC3; ['COc1ncccc1N', 'COc1ncccc1Br', 'COc1ncccc1I', 'COc1ncccc1N', 'COc1ncccc1N']; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3', 'Oc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.9999979734420776, 0.9999972581863403, 0.9999966621398926, 0.9999964237213135, 0.9996127486228943]
+CN(C)S(=O)(=O)c1cccc(Nc2ncnc3sc4c(c23)CCC4)c1; ['CN(C)S(=O)(=O)c1cccc(N)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(N)c1']; ['Clc1ncnc2sc3c(c12)CCC3', 'Nc1ncnc2sc3c(c12)CCC3', 'O=c1[nH]cnc2sc3c(c12)CCC3']; [0.999990701675415, 0.9999895095825195, 0.9995546936988831]
+CCOc1ccc(-c2ncc(C(N)=O)s2)cc1; ['CCOc1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999884963035583]
+CC(=O)N(C)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999997615814209]
+COc1ncccc1-c1ncc(C(N)=O)s1; ['COc1ncccc1B(O)O']; ['NC(=O)c1cnc(Br)s1']; [0.9997725486755371]
+OCCn1cnc(Nc2ncnc3sc4c(c23)CCC4)c1; [None]; [None]; [0]
+CN(C)c1cc(Nc2ncnc3sc4c(c23)CCC4)cnn1; [None]; [None]; [0]
+CC(=O)Nc1ncc(Nc2ncnc3sc4c(c23)CCC4)[nH]1; [None]; [None]; [0]
+COc1cc(-c2ncc(C(N)=O)s2)cc(OC)c1OC; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
+COc1ccc(-c2ncc(C(N)=O)s2)cc1; ['COc1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999780654907227]
+NC(=O)c1cnc(-c2ccc(N3CCOCC3)cc2)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1ccc(N2CCOCC2)cc1']; [0.9999996423721313]
+N#Cc1ccc(O)c(-c2ncc(C(N)=O)s2)c1; ['N#Cc1ccc(O)c(B(O)O)c1']; ['NC(=O)c1cnc(Br)s1']; [0.9994145631790161]
+NC(=O)c1cnc(-c2cnc3cccnn23)s1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ncc(C(N)=O)s3)c2c1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ncc3ccccc3n2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cccc(O)c2)s1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc(C(=O)[O-])cc2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2nccc3ccccc23)s1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['NC(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999954700469971]
+NC(=O)c1cnc(-c2cccc(NC(=O)C3CC3)c2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc(C(=O)Nc3ccccc3)cc2)s1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'NC(=O)c1cnc(Br)s1']; ['NC(=O)c1cnc(Br)s1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [1.0, 0.9999996423721313]
+NC(=O)c1cnc(Nc2ncccn2)s1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3ncc(C(N)=O)s3)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc(C(=O)N3CCOCC3)cc2)s1; ['NC(=O)c1cnc(Br)s1']; ['O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [1.0]
+NC(=O)c1cnc(-c2cccc(C3CCNCC3)c2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc(OCCO)cc2)s1; ['NC(=O)c1cnc(Br)s1']; ['OCCOc1ccc(B(O)O)cc1']; [0.9999761581420898]
+NC(=O)c1cnc(-c2nc3ccccc3[nH]2)s1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2ncc(C(N)=O)s2)cc1; ['CC(=O)NCc1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999929666519165]
+CNS(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999884366989136]
+N#Cc1cccc(Cn2cc(-c3ncc(C(N)=O)s3)cn2)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1', 'NC(=O)c1cnc(Br)s1']; [0.9999997615814209, 0.9999939799308777]
+NC(=O)c1cnc(-c2ccc(C(F)(F)F)cc2)s1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999902248382568]
 NC(=O)c1cnc(-c2ccc3c(c2)CS(=O)(=O)C3)s1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc(C(=O)N3CCOCC3)cn2)s1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ncc(C(N)=O)s2)s1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999823570251465]
+NC(=O)c1cnc(Cc2ccccc2O)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc(Br)cc2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(Cc2cnc(N)nc2)s1; [None]; [None]; [0]
+NC(=O)c1cnc([C@H]2CCN(C(=O)c3ccccc3)C2)s1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['CCN(CC)C(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999990463256836]
+CCCOc1ccc(-c2ncc(C(N)=O)s2)nc1; [None]; [None]; [0]
 CC(C)c1cc(-c2ncc(C(N)=O)s2)nc(N)n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ncc(C(N)=O)s2)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cc2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1ncc(C(N)=O)s1; ['COc1ccc(Cl)cc1B(O)O']; ['NC(=O)c1cnc(Br)s1']; [0.999961256980896]
+Cc1c(C(=O)[O-])cccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)c(C)c1; ['CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['NC(=O)c1cnc(Br)s1']; [0.9999111890792847]
 CC(=O)N1CCCN(c2cccc(-c3ncc(C(N)=O)s3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2ncc(C(N)=O)s2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3ncc(C(N)=O)s3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccn3nccc3n2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2c[nH]c3ccccc23)s1; [None]; [None]; [0]
+COc1cc(OC)c(-c2ncc(C(N)=O)s2)cc1Cl; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccccc2-n2cccn2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc3c(c2)CCO3)s1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'NC(=O)c1cnc(Br)s1']; ['NC(=O)c1cnc(Br)s1', 'OB(O)c1ccc2c(c1)CCO2']; [1.0, 0.9999992847442627]
+NC(=O)c1cnc(-c2cccc3c2OCO3)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1cccc2c1OCO2']; [0.9993824362754822]
+COc1cc(-c2ncc(C(N)=O)s2)ccc1O; ['COc1cc(B(O)O)ccc1O']; ['NC(=O)c1cnc(Br)s1']; [0.9999412298202515]
+CC(=O)Nc1cccc(-c2ncc(C(N)=O)s2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['NC(=O)c1cnc(Br)s1', 'NC(=O)c1cnc(Br)s1']; [0.9999967813491821, 0.9999469518661499]
+CC(C)(C)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cc(-c3ccccc3)[nH]n2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cnc3ccccc3c2)s1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ncc(C(N)=O)s2)cn1; ['CC(C)(C)c1ccc(B(O)O)cn1']; ['NC(=O)c1cnc(Br)s1']; [0.9999366998672485]
+CN(C)C(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['CN(C)C(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999992847442627]
+CC(C)c1ccc2nc(-c3ncc(C(N)=O)s3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1cnc(Cc2nc3ccc(F)c(F)c3[nH]2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(Cc2nc3c(F)c(F)ccc3[nH]2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2scc3c2OCCO3)s1; [None]; [None]; [0]
+Cc1ccc(-c2ncc(C(N)=O)s2)c(=O)[nH]1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2csc(N)n2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(Cc2nc3ccccc3[nH]2)s1; [None]; [None]; [0]
+CSc1ccc(-c2ncc(C(N)=O)s2)cc1; ['CSc1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999755620956421]
+NC(=O)c1cnc(CCCc2ccccc2)s1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2ncc(C(N)=O)s2)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(N)=O)c1', 'COc1cccc(C(=O)O)c1', 'COc1cccc(C(=O)Oc2ccccc2)c1']; ['NC(=O)c1cnc(N)s1', 'NC(=O)c1cnc(Br)s1', 'NC(=O)c1cnc(N)s1', 'NC(=O)c1cnc(N)s1']; [0.9999969005584717, 0.9999784231185913, 0.9999494552612305, 0.9999130964279175]
+CC(=O)N[C@@H]1CC[C@@H](c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cc3ccccc3s2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc(F)cc2Cl)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc3c(c2)CCC(=O)N3)s1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'NC(=O)c1cncs1']; ['NC(=O)c1cnc(Br)s1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999985694885254, 0.9995886087417603]
+NC(=O)c1cnc(-c2ccn(-c3cccc(Cl)c3)n2)s1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3ncc(C(N)=O)s3)cc2)CC1; [None]; [None]; [0]
+CCc1ccc(-c2ncc(C(N)=O)s2)cc1; ['CCc1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9998056292533875]
+COc1ccc(-c2ncc(C(N)=O)s2)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['NC(=O)c1cnc(Br)s1']; [0.9999538660049438]
+NC(=O)c1cnc(-c2ccc(Cl)cc2Cl)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1ccc(Cl)cc1Cl']; [0.999914288520813]
+CC[C@@H](CO)c1ncc(C(N)=O)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ncc(Br)cn2)s1; [None]; [None]; [0]
+NC(=O)c1cnc([C@H](CO)Cc2ccccc2)s1; [None]; [None]; [0]
+Cc1cc(-c2ncc(C(N)=O)s2)nc(N)n1; [None]; [None]; [0]
+COc1cc(-c2ncc(C(N)=O)s2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1']; ['NC(=O)c1cnc(Br)s1']; [0.9999971389770508]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cc3ccccn3n2)s1; [None]; [None]; [0]
+Cn1cc(-c2ncc(C(N)=O)s2)c(C(F)(F)F)n1; [None]; [None]; [0]
+COc1cc(F)c(-c2ncc(C(N)=O)s2)cc1OC; ['COc1cc(F)c(B(O)O)cc1OC']; ['NC(=O)c1cnc(Br)s1']; [0.9999899864196777]
+NC(=O)c1cnc(CCCn2cncn2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ncc3cccn3n2)s1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3ncc(C(N)=O)s3)ccc2O1; [None]; [None]; [0]
+COc1cc(-c2ncc(C(N)=O)s2)ccc1Cl; ['COc1cc(B(O)O)ccc1Cl']; ['NC(=O)c1cnc(Br)s1']; [0.9999790787696838]
+COc1ccc2cccc(-c3ncc(C(N)=O)s3)c2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['CNC(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999983310699463]
+NC(=O)c1cnc(-c2cnn(CCO)c2)s1; ['NC(=O)c1cnc(Br)s1']; ['OCCn1cc(B(O)O)cn1']; [0.9998962879180908]
+NC(=O)c1cnc(-c2cccc3ccc(O)cc23)s1; [None]; [None]; [0]
+COc1cc(-c2ncc(C(N)=O)s2)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br']; ['NC(=O)c1cnc(Br)s1']; [0.9985963702201843]
 NC(=O)c1cnc(-c2cc(N)nc3[nH]ccc23)s1; [None]; [None]; [0]
+Cc1csc2c(-c3ncc(C(N)=O)s3)ncnc12; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ncc(Cl)cn2)s1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ncc(C(N)=O)s2)nc1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
 NC(=O)c1cnc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc3cn[nH]c3c2)s1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'NC(=O)c1cnc(Br)s1']; ['NC(=O)c1cnc(Br)s1', 'OB(O)c1ccc2cn[nH]c2c1']; [1.0, 0.999983012676239]
+CO[C@@H]1CC[C@@H](c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
+CCn1cc(-c2ncc(C(N)=O)s2)cn1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
+COc1ccc2oc(-c3ncc(C(N)=O)s3)cc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1ncc(C(N)=O)s1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3ncc(C(N)=O)s3)[nH]c2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cccc(NC(=O)N3CCCC3)c2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cc(-c3cccnc3)ccn2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cc3ccccc3o2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc(OC(F)(F)F)cc2)s1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2ncc(C(N)=O)s2)c1; ['COc1ccc(F)c(C(=O)O)c1']; ['NC(=O)c1cnc(N)s1']; [0.9999710917472839]
+NC(=O)c1cnc(-c2ncc3sccc3n2)s1; [None]; [None]; [0]
+Cn1ncc2cc(-c3ncc(C(N)=O)s3)ccc21; ['Cn1ncc2cc(B(O)O)ccc21']; ['NC(=O)c1cnc(Br)s1']; [1.0]
+COc1ccc2nc(-c3ncc(C(N)=O)s3)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ncc(C(N)=O)s2)cn1; ['CN(C)c1ccc(B(O)O)cn1']; ['NC(=O)c1cnc(Br)s1']; [0.9999905824661255]
+CCc1cccc(-c2ncc(C(N)=O)s2)n1; [None]; [None]; [0]
+Cn1cc(-c2ncc(C(N)=O)s2)c2ccccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ncc(C(N)=O)s3)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12']; ['NC(=O)c1cnc(Br)s1']; [0.999998152256012]
 NC(=O)c1cnc(-c2ncn3c2CCCC3)s1; [None]; [None]; [0]
+NC(=O)c1cnc(NC(=O)c2cccc(OC(F)(F)F)c2)s1; ['NC(=O)c1cnc(N)s1', 'NC(=O)c1cnc(N)s1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1']; [0.9999998211860657, 0.999993085861206]
+CC(C)(O)c1ccc2cc(-c3ncc(C(N)=O)s3)[nH]c2c1; [None]; [None]; [0]
+Cc1cc(-c2ncc(C(N)=O)s2)cc(C)c1OCCO; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3ncc(C(N)=O)s3)cn2)CC1; [None]; [None]; [0]
-NC(=O)c1cnc(NC(=O)c2cccc(OC(F)(F)F)c2)s1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3ncc(C(N)=O)s3)cc2)n1C; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cccc(N3CCCC3=O)c2)s1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['NC(=O)c1cnc(Br)s1']; [0.9999996423721313]
+NC(=O)c1cnc(-c2ccc(CCO)cc2)s1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'NC(=O)c1cnc(Br)s1']; ['NC(=O)c1cnc(Br)s1', 'OCCc1ccc(B(O)O)cc1']; [0.9999986290931702, 0.9999573230743408]
+Cn1nc(Cl)c2cc(-c3ncc(C(N)=O)s3)ccc21; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ncc(C(N)=O)s2)c(Cl)c1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3ncc(C(N)=O)s3)cc2)n1C; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999898672103882]
+CNC(=O)c1ccc(-c2ncc(C(N)=O)s2)c(OC)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ncc(C(N)=O)s1; ['CNC(=O)c1ccccc1B(O)O']; ['NC(=O)c1cnc(Br)s1']; [0.999967098236084]
 Cn1nc(-c2ncc(C(N)=O)s2)cc1C(C)(C)O; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1ncc(C(N)=O)s1; [None]; [None]; [0]
+CCOc1ccccc1-c1ncc(C(N)=O)s1; ['CCOc1ccccc1B(O)O']; ['NC(=O)c1cnc(Br)s1']; [0.9997066259384155]
+CCNC(=O)Cc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2ncc(C(N)=O)s2)c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ncc(C(N)=O)s1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['NC(=O)c1cnc(Br)s1']; [0.9987587928771973]
+CN(C)C(=O)c1ccc(-c2ncc(C(N)=O)s2)nc1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccnc3ccccc23)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1ccnc2ccccc12']; [0.9998139142990112]
+NC(=O)c1cnc(-c2cccc(C(F)(F)F)c2)s1; [None, 'NC(=O)c1cnc(Br)s1']; [None, 'OB(O)c1cccc(C(F)(F)F)c1']; [0, 0.9999603033065796]
+NC(=O)c1cnc(-c2ccccc2OC(F)(F)F)s1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+COC(C)(C)CCc1ncc(C(N)=O)s1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccccc2C(N)=O)s1; ['NC(=O)c1ccccc1B(O)O']; ['NC(=O)c1cnc(Br)s1']; [0.999295175075531]
+Cc1nnc(-c2ccccc2-c2ncc(C(N)=O)s2)[nH]1; [None]; [None]; [0]
+NC(=O)c1cnc(Cc2cc(F)cc(F)c2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cnn(Cc3ccccc3)c2)s1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ncc(C(N)=O)s2)cs1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cccc(NC(=O)c3ccccc3)c2)s1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'NC(=O)c1cnc(Br)s1']; ['NC(=O)c1cnc(Br)s1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999995827674866, 0.9999845027923584]
+Cn1cnc2ccc(-c3ncc(C(N)=O)s3)cc2c1=O; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cc(Cl)ccc2Cl)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1cc(Cl)ccc1Cl']; [0.9993780851364136]
+NC(=O)c1cnc(-c2ccccc2C(=O)[O-])s1; [None]; [None]; [0]
+Cc1ccc(-c2ncc(C(N)=O)s2)c(Br)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1ncc(C(N)=O)s1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2c(Cl)cccc2Cl)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9992438554763794]
+NC(=O)c1cnc(-c2cnc3ccccn23)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cccc(Br)c2)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1cccc(Br)c1']; [0.9992554187774658]
+NC(=O)c1cnc(-c2cnc(-c3ccccc3)[nH]2)s1; [None]; [None]; [0]
 NC(=O)c1cnc(-n2ncc3cccc(F)c3c2=O)s1; [None]; [None]; [0]
-Cc1c(-c2ncc(C(N)=O)s2)sc(=O)n1C; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ncc(C(N)=O)s2)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['NC(=O)c1cnc(Br)s1']; [0.9996539950370789]
+NC(=O)c1cnc(NCc2cccnc2)s1; ['NC(=O)c1cnc(Cl)s1', 'NC(=O)c1cnc(Br)s1', 'NC(=O)c1cnc(N)s1']; ['NCc1cccnc1', 'NCc1cccnc1', 'O=Cc1cccnc1']; [0.9999892115592957, 0.9993299245834351, 0.9919697046279907]
+COc1cnc(-c2ncc(C(N)=O)s2)nc1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ncc(C(N)=O)s2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc3ccccc3c2)s1; [None]; [None]; [0]
 NC(=O)c1cnc(-c2cnn3ncccc23)s1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ncc(C(N)=O)s2)o1; [None]; [None]; [0]
+NC(=O)c1cnc(Nc2cccnc2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-n2cnc3ccccc32)s1; [None]; [None]; [0]
+NC(=O)c1cnc(NCCc2c[nH]cn2)s1; ['NC(=O)c1cnc(Cl)s1', 'NC(=O)c1cnc(Br)s1']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.999746561050415, 0.8770043253898621]
+NC(=O)c1cnc(NC(=O)c2cccs2)s1; [None]; [None]; [0]
+Cc1c(-c2ncc(C(N)=O)s2)sc(=O)n1C; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cncc3ccccc23)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1cncc2ccccc12']; [0.9999512434005737]
+NC(=O)c1cnc(-c2ccnc(N)n2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(NCCc2ccccc2)s1; ['NC(=O)c1cnc(Cl)s1', 'NC(=O)c1cnc(Br)s1', 'BrCCc1ccccc1']; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NC(=O)c1cnc(N)s1']; [0.9996994137763977, 0.9704853296279907, 0.8462512493133545]
+NC(=O)c1cnc(-c2cccc(Cn3cncn3)c2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2c[nH]nc2C(F)(F)F)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc(-c3cn[nH]c3)cc2)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999873638153076]
+Cn1cc(-c2ccc(-c3ncc(C(N)=O)s3)cc2)cn1; [None]; [None]; [0]
+NC(=O)c1cnc(NCc2ccc(Cl)cc2)s1; ['NC(=O)c1cnc(Cl)s1', 'NC(=O)c1cnc(Br)s1', 'ClCc1ccc(Cl)cc1', 'NC(=O)c1cnc(N)s1']; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NC(=O)c1cnc(N)s1', 'O=Cc1ccc(Cl)cc1']; [0.9999376535415649, 0.9993749856948853, 0.9990717172622681, 0.9918986558914185]
+NC(=O)c1cnc(-c2cccc(CC(=O)[O-])c2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc3c(N)[nH]nc3c2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(Nc2ccncc2)s1; ['NC(=O)c1cnc(Cl)s1', None]; ['Nc1ccncc1', None]; [0.9996825456619263, 0]
+NC(=O)c1cnc(-c2cccc(F)c2C(N)=O)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cccc(CO)c2)s1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'NC(=O)c1cnc(Br)s1']; ['NC(=O)c1cnc(Br)s1', 'OCc1cccc(B(O)O)c1']; [0.999994158744812, 0.9994717836380005]
+NC(=O)c1cnc(NCc2ccccc2F)s1; ['NC(=O)c1cnc(Cl)s1', 'NC(=O)c1cnc(Br)s1', 'Fc1ccccc1CCl', 'NC(=O)c1cnc(N)s1']; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NC(=O)c1cnc(N)s1', 'O=Cc1ccccc1F']; [0.9999979734420776, 0.9999785423278809, 0.9998204708099365, 0.9991405010223389]
+CC(C)n1cc(-c2ncc(C(N)=O)s2)nn1; [None]; [None]; [0]
 CN1c2ccc(-c3ncc(C(N)=O)s3)cc2CS1(=O)=O; [None]; [None]; [0]
+CSc1nc(-c2ncc(C(N)=O)s2)c[nH]1; [None]; [None]; [0]
+CCCn1cnc(-c2ncc(C(N)=O)s2)n1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2csc3ncncc23)s1; [None]; [None]; [0]
 COc1cc(-c2ncc(C(N)=O)s2)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2ncc(C(N)=O)s2)nn1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ncc(C(N)=O)s2)c1; ['N#CCCc1cccc(B(O)O)c1']; ['NC(=O)c1cnc(Br)s1']; [0.9997791051864624]
+NC(=O)c1cnc(-c2ccc(F)cc2C(F)(F)F)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9999499320983887]
+NC(=O)c1cnc(-c2cncnc2N)s1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
 NC(=O)c1cnc(CCc2c[nH]nn2)s1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ncc(C(N)=O)s1; [None]; [None]; [0]
-NC(=O)c1cnc(NC(=O)c2c(Cl)cccc2Cl)s1; [None]; [None]; [0]
+NC(=O)c1cnc(Oc2ccccn2)s1; ['NC(=O)c1cnc(Cl)s1']; ['Oc1ccccn1']; [0.9974921345710754]
+CCC(=O)Nc1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
+NC(=O)c1cnc(NC(=O)c2c(Cl)cccc2Cl)s1; ['NC(=O)c1cnc(N)s1', 'NC(=O)c1cnc(N)s1']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl']; [0.9999182820320129, 0.9998421669006348]
+CS(=O)(=O)C1CCN(c2ncc(C(N)=O)s2)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['NC(=O)c1cnc(Br)s1', 'NC(=O)c1cnc(Cl)s1']; [0.9999702572822571, 0.9999212026596069]
+NC(=O)c1cnc(-c2cc3ccccc3[nH]2)s1; [None]; [None]; [0]
+COc1ccc(-c2ncc(C(N)=O)s2)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['NC(=O)c1cnc(Br)s1']; [0.9999940991401672]
+CCNc1nc2ccc(-c3ncc(C(N)=O)s3)cc2s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cnn3ccccc23)s1; [None]; [None]; [0]
+NC(=O)CCCc1ncc(C(N)=O)s1; [None]; [None]; [0]
+CCCn1cc(-c2ncc(C(N)=O)s2)cn1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cccc3c2C(=O)CC3)s1; ['NC(=O)c1cncs1']; ['O=C1CCc2cccc(Br)c21']; [0.9994672536849976]
+CC(C)(N)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
 CC(C)(COc1ncc(C(N)=O)s1)S(C)(=O)=O; [None]; [None]; [0]
 NC(=O)c1cnc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)s1; [None]; [None]; [0]
-C[C@@H](Oc1ncc(C(N)=O)s1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1ncc(C(N)=O)s1; [None]; [None]; [0]
+C[C@@H](Oc1ncc(C(N)=O)s1)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl']; ['NC(=O)c1cnc(Br)s1']; [0.9985013008117676]
+CCNS(=O)(=O)c1ccccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cc[nH]c(=O)c2)s1; [None]; [None]; [0]
+CCN(CC)c1ncc(C(N)=O)s1; [None]; [None]; [0]
+COc1ccncc1Nc1ncc(C(N)=O)s1; ['COc1ccncc1F']; ['NC(=O)c1cnc(N)s1']; [0.99912428855896]
+C[S@](=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ncc(C(N)=O)s1; ['COc1cccc(F)c1B(O)O']; ['NC(=O)c1cnc(Br)s1']; [0.9999405145645142]
+CC(C)Oc1cncc(-c2ncc(C(N)=O)s2)c1; ['CC(C)Oc1cncc(B(O)O)c1']; ['NC(=O)c1cnc(Br)s1']; [0.9999969601631165]
+NC(=O)c1cnc(Nc2cnccc2-c2ccccc2)s1; ['NC(=O)c1cnc(Cl)s1']; ['Nc1cnccc1-c1ccccc1']; [0.9999696016311646]
+COc1cc(CCc2ncc(C(N)=O)s2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cnc3[nH]ccc3c2)s1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'NC(=O)c1cnc(Br)s1']; ['NC(=O)c1cnc(Br)s1', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 0.9999958872795105]
+NC(=O)c1cnc(Nc2cnc3ccccc3c2)s1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['NC(=O)c1cnc(Br)s1']; [0.9999959468841553]
+NC(=O)c1cnc(-c2c[nH]c3cnccc23)s1; [None]; [None]; [0]
 NC(=O)c1cnc(-c2cc3c(=O)[nH]cc(Br)c3s2)s1; [None]; [None]; [0]
-NC(=O)c1cnc(Nc2cnccc2-c2ccccc2)s1; [None]; [None]; [0]
-CN(c1ncc(C(N)=O)s1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cc3c(=O)[nH]ccc3o2)s1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ncc(C(N)=O)s2)cc1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+CC1(c2ncc(C(N)=O)s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+NC(=O)c1cnc(-n2ccc(CO)n2)s1; ['NC(=O)c1cnc(Br)s1']; ['OCc1cc[nH]n1']; [0.9999161958694458]
 C[C@H](Nc1ncc(C(N)=O)s1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+NC(=O)c1cnc(-n2ncc3ccccc32)s1; ['NC(=O)c1cnc(Cl)s1']; ['c1ccc2[nH]ncc2c1']; [0.9995108842849731]
+CN(c1ncc(C(N)=O)s1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@@H](Nc1ncc(C(N)=O)s1)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['NC(=O)c1cnc(Br)s1']; [0.9804941415786743]
+C[C@H](Nc1ncc(C(N)=O)s1)C(C)(C)O; ['C[C@H](N)C(C)(C)O']; ['NC(=O)c1cnc(Br)s1']; [0.9804941415786743]
+NC(=O)c1cnc(-c2c(F)cccc2Cl)s1; [None]; [None]; [0]
+Cc1cc(-c2ncc(C(N)=O)s2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+COc1ccc(-c2ncc(C(N)=O)s2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1']; ['NC(=O)c1cnc(Br)s1']; [0.9998331665992737]
+NC(=O)c1cnc(-c2ccc(-n3cncn3)cc2)s1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ncc(C(N)=O)s2)[nH]1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2ccc(C(=O)c3ccccc3)cc2)s1; ['NC(=O)c1cnc(Br)s1']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9999924898147583]
+NC(=O)c1cnc(-n2ncc3c(O)cccc32)s1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-n2cnc(CCO)c2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2nc3ccc(O)cc3[nH]2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2nncn2C2CC2)s1; [None]; [None]; [0]
 NC(=O)c1cnc(-c2ccn(CC[NH3+])n2)s1; [None]; [None]; [0]
 NC(=O)c1cnc(Cc2nnc3ccc(-c4ccccc4)nn23)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cn(Cc3ccccc3)nn2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(CCC(=O)NCc2ccccn2)s1; [None]; [None]; [0]
 NC(=O)c1cnc(CS(=O)(=O)NCc2ccccn2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2nnc(N)s2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ncc(C(N)=O)s1; [None]; [None]; [0]
+CCc1cc(-c2ncc(C(N)=O)s2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ncc(C(N)=O)s2)nc(N)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ncc(C(N)=O)s2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncc(C(N)=O)s2)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cccc3ccsc23)s1; ['NC(=O)c1cnc(Br)s1']; ['OB(O)c1cccc2ccsc12']; [0.999808669090271]
 NC(=O)c1cnc(Oc2ccc(C[NH3+])cc2F)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cccc3nnsc23)s1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2cncc(N)n2)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ncc(C(N)=O)s3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncc(C(N)=O)s3)c2)cc1; [None]; [None]; [0]
-NC(=O)c1cnc(-c2cccc3nnsc23)s1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ncc(C(N)=O)s2)n1; [None]; [None]; [0]
-COc1ccc(Oc2ncc(C(N)=O)s2)c(F)c1F; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ncc(C(N)=O)s2)[nH]1; [None]; [None]; [0]
+NC(=O)c1cnc(-c2c[nH]c3cccnc23)s1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ncc(C(N)=O)s1; ['COc1ccc(C#N)cc1B(O)O']; ['NC(=O)c1cnc(Br)s1']; [0.9999911189079285]
+NC(=O)c1cnc(-c2nc3ccccc3s2)s1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ncc(C(N)=O)s2)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['NC(=O)c1cnc(Br)s1']; [0.9999567866325378]
+CN(C)S(=O)(=O)c1cccc(-c2ncc(C(N)=O)s2)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['NC(=O)c1cnc(Br)s1', 'NC(=O)c1cnc(Br)s1']; [0.9999995231628418, 0.9999135732650757]
+NC(=O)c1cnc(-c2nc(N)c3ccccc3n2)s1; [None]; [None]; [0]
+COc1ccc(Oc2ncc(C(N)=O)s2)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['NC(=O)c1cnc(Cl)s1']; [0.9982332587242126]
+NC(=O)c1cnc(N2CCC(c3nc4ccccc4[nH]3)CC2)s1; ['NC(=O)c1cnc(Br)s1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9996387958526611]
+NC(=O)c1cnc(N2CC=C(c3c[nH]c4ccccc34)CC2)s1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['NC(=O)c1cnc(Br)s1', 'NC(=O)c1cnc(Cl)s1']; [0.9998836517333984, 0.999813437461853]
+NC(=O)c1cnc(-c2cn(CCO)cn2)s1; [None]; [None]; [0]
+Oc1cccc(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Oc1cccc(Br)c1', 'OB(O)c1cccc(O)c1']; [0.9994619488716125, 0.9660177826881409, 0.9106270670890808]
 NC(=O)c1cnc(-c2cccc(NC(=O)C3CCNCC3)c2)s1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+c1cc(-c2cnc3n[nH]cc3c2)c2cccnc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cccc2ncccc12', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cnc2n[nH]cc2c1', 'OB(O)c1cccc2ncccc12']; [0.9999694228172302, 0.9957735538482666, 0.8856074213981628]
+CN(C)c1cc(-c2ncc(C(N)=O)s2)cnn1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ncc(C(N)=O)s2)CC1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1cnc3n[nH]cc3c1)OCO2; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'Clc1ccc2c(c1)OCO2']; [0.9866154193878174, 0.8229279518127441]
+Oc1cc(-c2cnc3n[nH]cc3c2)ccc1Cl; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'OB(O)c1ccc(Cl)c(O)c1']; [0.9999918937683105, 0.9976997971534729]
+NC(=O)c1cnc(-c2ncc3cc[nH]c3n2)s1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1']; [0.999994158744812, 0.9956061840057373, 0.8030380010604858]
+Clc1cccc(Cl)c1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Clc1cccc(Cl)c1Br', 'OB(O)c1c(Cl)cccc1Cl']; [0.9982250928878784, 0.9965416193008423]
+c1ccc2c(-c3cnc4n[nH]cc4c3)n[nH]c2c1; [None]; [None]; [0]
+Fc1ccc(Oc2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1']; ['Oc1ccc(F)cc1']; [0.9957253932952881]
+NC(=O)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; [0.9999994039535522, 0.9967715740203857]
+Oc1ccc(-c2cnc3n[nH]cc3c2)c(F)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Oc1ccc(Br)c(F)c1', 'OB(O)c1ccc(O)cc1F']; [0.9998816251754761, 0.9871921539306641, 0.9860515594482422]
+Oc1ccc(-c2cnc3n[nH]cc3c2)c(Cl)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'OB(O)c1ccc(O)cc1Cl', 'Oc1ccc(Br)c(Cl)c1']; [0.9995161890983582, 0.981036901473999, 0.9395915269851685]
+COc1cc(C(N)=O)ccc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1']; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; [0.9999751448631287]
+NC(=O)c1ccc(-c2cnc3n[nH]cc3c2)c(F)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(C(N)=O)cc2F)OC1(C)C', 'NC(=O)c1ccc(B(O)O)c(F)c1']; [0.999995231628418, 0.994472324848175]
+COc1ccc(F)cc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O']; [0.9999886751174927, 0.9963816404342651, 0.9946641325950623]
+Nc1nccc(-c2cnc3n[nH]cc3c2)n1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br']; [0.9999821186065674, 0.9804413318634033, 0.9570136070251465]
+Oc1ccc(-c2ccc(-c3cnc4n[nH]cc4c3)cc2)c(O)c1; ['Brc1cnc2n[nH]cc2c1']; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; [0.9659472703933716]
+COc1cc(-c2cnc3n[nH]cc3c2)ccc1O; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(B(O)O)ccc1O']; [0.9999932050704956, 0.9826560020446777, 0.9644747376441956]
+Cc1nc2c(F)cc(-c3cnc4n[nH]cc4c3)cc2[nH]1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cnc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+c1ccc2cc(-c3cnc4n[nH]cc4c3)ccc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1ccc2ccccc2c1']; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)COB(c2ccc3ccccc3c2)OC1', 'OB(O)c1ccc2ccccc2c1', 'Brc1cnc2n[nH]cc2c1']; [0.9999971389770508, 0.9999709129333496, 0.996315598487854, 0.9927676916122437]
+Brc1cccc(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1']; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; [0.9999641180038452, 0.986731767654419, 0.9454445838928223, 0.9377684593200684]
+COC(=O)c1ccc(-c2cnc3n[nH]cc3c2)o1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COC(=O)c1ccc(B(O)O)o1', 'COC(=O)c1ccc(Br)o1', 'COC(=O)c1ccco1']; [0.9921524524688721, 0.9804268479347229, 0.9157291054725647]
+Clc1[nH]ncc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3n[nH]cc3c2)cc1F; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'OB(O)c1ccc(O)c(F)c1']; [0.9999947547912598, 0.9891639947891235]
+Cn1cc(-c2cnc3n[nH]cc3c2)c2ccccc21; ['Brc1cnc2n[nH]cc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999234080314636]
+Oc1ccc(-c2cnc3n[nH]cc3c2)c(O)c1; ['Brc1cnc2n[nH]cc2c1']; ['Oc1ccc(Br)c(O)c1']; [0.8746844530105591]
+c1cnn2ncc(-c3cnc4n[nH]cc4c3)c2c1; ['Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; [0.9999678134918213]
+COc1cc(CCc2cnc3n[nH]cc3c2)ccc1O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1']; [0.99998939037323, 0.999075710773468, 0.9705753922462463, 0.9609944820404053]
+Nc1cc(-c2cnc3n[nH]cc3c2)ccn1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Nc1cc(I)ccn1', 'Nc1cc(Br)ccn1', 'Nc1cc(B(O)O)ccn1']; [0.9999983906745911, 0.9958251714706421, 0.9882204532623291, 0.960968017578125]
+Clc1ccccc1OCc1cnc2n[nH]cc2c1; [None]; [None]; [0]
+Fc1ccc(-c2cnc3n[nH]cc3c2)cc1Cl; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Fc1ccc(I)cc1Cl', 'Fc1ccc(Br)cc1Cl', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccccc1Cl']; [0.9999996423721313, 0.999967098236084, 0.9994720220565796, 0.998760461807251, 0.9583715796470642]
+Oc1ccc(Cl)c(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'OB(O)c1cc(O)ccc1Cl']; [0.9990701675415039, 0.8287029266357422]
+Cc1ccc2[nH]ncc2c1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O']; [0.9999969601631165, 0.9995708465576172]
+c1cc2c(-c3cnc4n[nH]cc4c3)c[nH]c2cn1; [None]; [None]; [0]
+Oc1ncc(-c2cnc3n[nH]cc3c2)cc1Cl; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Oc1ncc(Br)cc1Cl']; [0.9999105334281921, 0.8525748252868652]
+Cc1ccc(CO)cc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B(O)O']; [0.9999887943267822, 0.9952003359794617, 0.9455536007881165]
+Fc1ccc(-c2nc[nH]c2-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1']; ['Fc1ccc(-c2c[nH]cn2)cc1']; [0.8019862174987793]
+COc1cc(OC)cc(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; [0.9999826550483704, 0.9907904267311096, 0.9800314903259277]
+COc1ccc(-c2cnc3n[nH]cc3c2)cc1OC; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B(O)O)cc1OC']; [0.9999958872795105, 0.9881765842437744, 0.9824693202972412]
+NC(=O)c1cc(-c2cnc3n[nH]cc3c2)c[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1']; [0.999986469745636, 0.9885650873184204, 0.9399911165237427]
+c1cc2cc(-c3cnc4n[nH]cc4c3)cnc2[nH]1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'Brc1cnc2n[nH]cc2c1']; [0.9999992847442627, 0.9932564496994019, 0.9910069108009338]
+Cc1nc2ccc(-c3cnc4n[nH]cc4c3)cc2[nH]1; ['Brc1cnc2n[nH]cc2c1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1']; [0.9999990463256836]
+COc1cc(CCc2cnc3n[nH]cc3c2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; [0.9999971985816956]
+CS(=O)(=O)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; [0.9999997615814209, 0.9996351003646851, 0.9915398359298706]
+c1ccc2sc(-c3cnc4n[nH]cc4c3)nc2c1; ['Nc1ccccc1S', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['O=Cc1cnc2n[nH]cc2c1', 'c1ccc2scnc2c1', 'CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1', 'Brc1nc2ccccc2s1']; [0.9999989867210388, 0.9996535778045654, 0.999142050743103, 0.9983999729156494]
+Oc1cncc(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Oc1cncc(Br)c1', 'OB(O)c1cncc(O)c1']; [0.999619722366333, 0.9723851680755615, 0.9040063619613647]
+CNC(=O)c1cccc2cc(-c3cnc4n[nH]cc4c3)ccc12; [None]; [None]; [0]
+O=C1Cc2cc(-c3cnc4n[nH]cc4c3)ccc2N1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; [0.9999696016311646, 0.9954530000686646, 0.9687866568565369]
+CCc1cc(O)c(F)cc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1']; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; [0.9999933242797852]
+CCc1cc(O)ccc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1Br']; [0.999958872795105, 0.9448615312576294]
+CNc1nccc(-c2cnc3n[nH]cc3c2)n1; ['Brc1cnc2n[nH]cc2c1']; ['CNc1nccc(Cl)n1']; [0.9720845222473145]
+Cc1n[nH]c(-c2cnc3n[nH]cc3c2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B(O)O']; [0.9997638463973999, 0.9625901579856873, 0.8926541805267334]
+C[C@H](CC(N)=O)c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+Clc1cnccc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1Br']; [0.9999502301216125, 0.9937397241592407, 0.93680739402771]
+CN(c1cccc(Cl)c1)c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1']; ['CNc1cccc(Cl)c1']; [0.9909069538116455]
+CCc1sccc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2cnc3n[nH]cc3c2)cc1Cl; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Oc1c(Cl)cc(Br)cc1Cl']; [0.9999276399612427, 0.8624753952026367]
+CNc1nc(-c2cnc3n[nH]cc3c2)ncc1F; ['Brc1cnc2n[nH]cc2c1']; ['CNc1nc(Cl)ncc1F']; [0.9991090297698975]
+Cc1n[nH]c2cc(N(C)c3cnc4n[nH]cc4c3)ccc12; [None]; [None]; [0]
+c1cc2c(cc1-c1cnc3n[nH]cc3c1)CCN2; ['Brc1cnc2n[nH]cc2c1']; ['OB(O)c1ccc2c(c1)CCN2']; [0.9981235265731812]
+c1cc(Nc2cnc3n[nH]cc3c2)ccn1; ['Brc1cnc2n[nH]cc2c1']; ['Nc1ccncc1']; [0.9963060617446899]
+Fc1cc(Br)ccc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Fc1cc(Br)ccc1I', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br']; [0.9997981786727905, 0.9785470962524414, 0.9742365479469299, 0.9482372999191284]
+FC(F)c1cc(-c2cnc3n[nH]cc3c2)[nH]n1; [None]; [None]; [0]
+Cc1oc(-c2cnc3n[nH]cc3c2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3cnc4n[nH]cc4c3)cc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; [0.9999992847442627, 0.9989757537841797]
+O=C(NC1CC1)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'O=C(NC1CC1)c1ccc(B(O)O)cc1']; [1.0, 0.9999822378158569]
+Oc1cc(Br)cc(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'OB(O)c1cc(O)cc(Br)c1']; [0.995428204536438, 0.9713934063911438]
+Fc1ccc2n[nH]c(-c3cnc4n[nH]cc4c3)c2c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+CN(c1cnc2n[nH]cc2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Cc1cc(-c2cnc3n[nH]cc3c2)ccc1C(N)=O; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O']; [0.9999969005584717, 0.9761009216308594]
+Oc1cc(-c2cnc3n[nH]cc3c2)nc2ccnn12; [None]; [None]; [0]
+Cc1cc(-c2cnc3n[nH]cc3c2)cc(C)c1O; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O']; [0.9997437596321106, 0.7940852642059326]
+Cc1nc2ccc(-c3cnc4n[nH]cc4c3)cc2o1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccccc2o1']; [0.9999992251396179, 0.9998466968536377, 0.9997658729553223, 0.781731367111206]
+Oc1c(F)cc(-c2cnc3n[nH]cc3c2)cc1F; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Oc1c(F)cc(Br)cc1F']; [0.9999438524246216, 0.9775452613830566]
+CSc1cccc(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; [0.9999949932098389]
+c1ccc2c(CCc3cnc4n[nH]cc4c3)c[nH]c2c1; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3cnc4n[nH]cc4c3)ccc12; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1']; ['Cc1onc(-c2ccccc2)c1B(O)O']; [0.996155321598053]
+Fc1ccc(Oc2cnc3n[nH]cc3c2)c(F)c1; ['Brc1cnc2n[nH]cc2c1']; ['Oc1ccc(F)cc1F']; [0.9999250173568726]
+Fc1ccc(CCc2cnc3n[nH]cc3c2)c(F)c1; ['Cc1cnc2n[nH]cc2c1']; ['Fc1ccc(CBr)c(F)c1']; [0.8458904027938843]
+Fc1cccc(Cl)c1CNc1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1']; ['NCc1c(F)cccc1Cl']; [0.9999796748161316]
+c1ccc2c(COc3cnc4n[nH]cc4c3)cccc2c1; [None]; [None]; [0]
+Fc1ccc(-c2ncoc2-c2cnc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+Fc1ccc(COc2cnc3n[nH]cc3c2)c(F)c1; [None]; [None]; [0]
+c1ccc2nc(-c3cnc4n[nH]cc4c3)ncc2c1; [None]; [None]; [0]
+CCOc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Br)cc1']; [0.9999989867210388, 0.9989900588989258, 0.9981536865234375, 0.9791198968887329]
+COc1ncccc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; [0.9999790787696838, 0.9912561178207397, 0.9880353808403015]
+CS(=O)(=O)c1cccc(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; [0.9999995231628418, 0.9933536648750305]
+Clc1ccc(-c2[nH]ncc2-c2cnc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccccc1']; [0.9999994039535522, 0.9858492016792297, 0.9450224041938782]
+c1cnn2c(-c3cnc4n[nH]cc4c3)cnc2c1; ['Brc1cnc2n[nH]cc2c1']; ['c1cnn2ccnc2c1']; [0.998654842376709]
+Cc1nc(C(C)(C)O)sc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+COc1cc(-c2cnc3n[nH]cc3c2)cc(OC)c1OC; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; [0.9998363852500916, 0.920549213886261]
+COc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(I)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(Br)cc1']; [0.9999974966049194, 0.9970870614051819, 0.9949101209640503, 0.9485122561454773]
+Cc1ccc2ncn(-c3cnc4n[nH]cc4c3)c2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; [0.9827944040298462, 0.9324207305908203]
+c1ccc2[nH]c(-c3cnc4n[nH]cc4c3)nc2c1; ['Nc1ccccc1N']; ['O=Cc1cnc2n[nH]cc2c1']; [0.9999931454658508]
+Cc1cc(Nc2cnc3n[nH]cc3c2)sn1; ['Brc1cnc2n[nH]cc2c1']; ['Cc1cc(N)sn1']; [0.9999440908432007]
+N#Cc1ccc(O)c(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; [0.9673593640327454, 0.9433773159980774]
+c1cc(N2CCOCC2)ccc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1ccc(N2CCOCC2)cc1']; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Ic1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1cnc2n[nH]cc2c1']; [0.9999998807907104, 0.9999088048934937, 0.99965500831604, 0.9994616508483887, 0.9984220266342163]
+c1ccc2c(-c3cnc4n[nH]cc4c3)nccc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['OB(O)c1nccc2ccccc12', 'Brc1nccc2ccccc12']; [0.9090343713760376, 0.7973358631134033]
+N#Cc1cccc(Cn2cc(-c3cnc4n[nH]cc4c3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [1.0, 0.9996124505996704]
+O=C(Nc1cccc(-c2cnc3n[nH]cc3c2)c1)C1CC1; [None]; [None]; [0]
+c1cnc(Nc2cnc3n[nH]cc3c2)nc1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4n[nH]cc4c3)cc2)CC1; [None]; [None]; [0]
+c1cc(-c2cnc3n[nH]cc3c2)cc(C2CCNCC2)c1; ['Brc1cccc(C2CCNCC2)c1']; ['Brc1cnc2n[nH]cc2c1']; [0.994225263595581]
+OCCOc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(Br)cc1']; [0.9999985098838806, 0.9986184239387512, 0.9878197908401489]
+CC(=O)NCc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(Br)cc1']; [0.9999984502792358, 0.9976646900177002, 0.9588488340377808]
+O=C(c1ccc(-c2cnc3n[nH]cc3c2)cc1)N1CCOCC1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 0.9999297857284546, 0.9991425275802612]
+c1cc(Nc2cnc3n[nH]cc3c2)ncn1; ['Brc1cnc2n[nH]cc2c1']; ['Nc1ccncn1']; [0.9862539768218994]
+O=C(c1ccc(-c2cnc3n[nH]cc3c2)nc1)N1CCOCC1; ['Brc1cnc2n[nH]cc2c1']; ['O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9998124241828918]
+C[C@H](O)COc1ccc(-c2cnc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)c1ccc(I)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1']; [0.9999995231628418, 0.9996165037155151, 0.999100923538208, 0.991235613822937]
+Cc1nc(C)c(-c2cnc3n[nH]cc3c2)s1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cc1nc(C)c(B2OC(C)(C)C(C)(C)O2)s1', 'Cc1csc(C)n1']; [0.9999784827232361, 0.9654473066329956]
+CN(C)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1']; [0.9999994039535522, 0.9987512826919556, 0.9976767301559448, 0.9523667097091675]
+C[C@@H](O)COc1ccc(-c2cnc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1']; [0.9999997615814209, 0.999701201915741, 0.999161958694458, 0.9649443626403809]
+O=S1(=O)Cc2ccc(-c3cnc4n[nH]cc4c3)cc2C1; ['Brc1cnc2n[nH]cc2c1']; ['O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9966230392456055]
+CCNS(=O)(=O)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; [0.9953634738922119, 0.9564651250839233]
+CC(C)c1cc(-c2cnc3n[nH]cc3c2)nc(N)n1; ['Brc1cnc2n[nH]cc2c1']; ['CC(C)c1cc(Cl)nc(N)n1']; [0.9993196129798889]
+Brc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1ccc(I)cc1', 'Brc1cnc2n[nH]cc2c1', 'Brc1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(Br)cc2)OC1', 'Brc1cnc2n[nH]cc2c1', 'OB(O)c1ccc(Br)cc1', 'Brc1cnc2n[nH]cc2c1']; [0.9999927282333374, 0.9999746084213257, 0.994169294834137, 0.9819223880767822, 0.9296728372573853]
+CS(=O)(=O)N1CCC(c2cnc3n[nH]cc3c2)CC1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc3n[nH]cc3c2)cc1Cl; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; [0.9999997019767761, 0.9933302402496338]
+O=C(c1ccccc1)N1CC[C@H](c2cnc3n[nH]cc3c2)C1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3cnc4n[nH]cc4c3)c2)CC1; [None]; [None]; [0]
+c1cc2nc(-c3cnc4n[nH]cc4c3)ccn2n1; ['Brc1cnc2n[nH]cc2c1']; ['Clc1ccn2nccc2n1']; [0.9998782873153687]
+CNS(=O)(=O)c1ccc(-c2cnc3n[nH]cc3c2)c(C)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(Br)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; [0.9999538660049438, 0.9335632920265198, 0.9006631970405579]
+Cc1c(C(=O)[O-])cccc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+CCCOc1ccc(-c2cnc3n[nH]cc3c2)nc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; [1.0, 0.9991064071655273, 0.9896794557571411]
+COc1ccc(Cl)cc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1B(O)O']; [0.9999651908874512, 0.9885348081588745, 0.9880730509757996]
+c1ccc(-n2cccn2)c(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1ccccc1-n1cccn1']; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'OB(O)c1ccccc1-n1cccn1', 'Brc1cnc2n[nH]cc2c1']; [0.9999943971633911, 0.999633252620697, 0.9986051321029663]
+c1ccc2c(-c3cnc4n[nH]cc4c3)c[nH]c2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1c[nH]c2ccccc12']; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Brc1cnc2n[nH]cc2c1']; [0.9994871616363525, 0.775748610496521]
+CC(C)c1ccc2nc(-c3cnc4n[nH]cc4c3)[nH]c2c1; ['CC(C)c1ccc(N)c([N+](=O)[O-])c1']; ['O=Cc1cnc2n[nH]cc2c1']; [0.9999856948852539]
+COc1cc(OC)c(-c2cnc3n[nH]cc3c2)cc1Cl; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1cc(OC)c(Br)cc1Cl', 'COc1ccc(Cl)c(OC)c1']; [0.8800491094589233, 0.7581961750984192]
+c1cc2c(cc1-c1cnc3n[nH]cc3c1)CCO2; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1ccc2c(c1)CCO2', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Ic1ccc2c(c1)CCO2', 'Brc1cnc2n[nH]cc2c1', 'OB(O)c1ccc2c(c1)CCO2']; [0.9999960660934448, 0.9998083114624023, 0.9987958073616028, 0.9986279010772705]
+c1nc2n[nH]cc2cc1-c1scc2c1OCCO2; [None]; [None]; [0]
+c1cc2c(c(-c3cnc4n[nH]cc4c3)c1)OCO2; ['Brc1cnc2n[nH]cc2c1', 'Brc1cccc2c1OCO2', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Brc1cnc2n[nH]cc2c1', 'OB(O)c1cccc2c1OCO2']; [0.9999919533729553, 0.9849090576171875, 0.9775911569595337]
+CC(C)(C)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1']; [0.9999995231628418, 0.9995124340057373, 0.9991925954818726, 0.989118218421936]
+CC(=O)Nc1cccc(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; [0.9999962449073792, 0.9925965070724487, 0.9769848585128784]
+c1ccc2ncc(-c3cnc4n[nH]cc4c3)cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2ccccc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1cnc2n[nH]cc2c1', 'OB(O)c1cnc2ccccc2c1']; [0.9999696612358093, 0.9444013833999634, 0.8614923357963562]
+CN(C)C(=O)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; [1.0, 0.9992105960845947]
+CC(C)(C)c1ccc(-c2cnc3n[nH]cc3c2)cn1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; [0.9999926090240479, 0.9888937473297119, 0.9884721040725708]
+c1ccc(-c2cc(-c3cnc4n[nH]cc4c3)n[nH]2)cc1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cnc3n[nH]cc3c2)c1; [None]; [None]; [0]
+Nc1nc(-c2cnc3n[nH]cc3c2)cs1; [None]; [None]; [0]
+CC1(COc2cnc3n[nH]cc3c2)COC1; ['Brc1cnc2n[nH]cc2c1']; ['CC1(CO)COC1']; [0.992908775806427]
+CSc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1']; [0.9999940395355225, 0.9912483096122742, 0.972031831741333, 0.7633861899375916]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+c1ccc2sc(-c3cnc4n[nH]cc4c3)cc2c1; ['Brc1cnc2n[nH]cc2c1']; ['OB(O)c1cc2ccccc2s1']; [0.9979803562164307]
+Clc1cccc(-n2ccc(-c3cnc4n[nH]cc4c3)n2)c1; [None]; [None]; [0]
+Cc1cc(-c2cnc3n[nH]cc3c2)nc(N)n1; [None]; [None]; [0]
+Brc1cnc(-c2cnc3n[nH]cc3c2)nc1; [None]; [None]; [0]
+Fc1ccc(-c2cnc3n[nH]cc3c2)c(Cl)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Fc1ccc(I)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'OB(O)c1ccc(F)cc1Cl']; [0.9999886155128479, 0.9988543391227722, 0.9957016110420227, 0.9915485382080078]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc3n[nH]cc3c2)CC1; [None]; [None]; [0]
+COc1ccc(CNc2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1']; ['COc1ccc(CN)cc1']; [0.9946359395980835]
+CCc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1']; [0.999997615814209, 0.9949983358383179, 0.990639328956604, 0.8751322031021118]
+CCN1CCN(Cc2ccc(-c3cnc4n[nH]cc4c3)cc2)CC1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; [0.9984850883483887, 0.9861485958099365]
+O=C1CCc2cc(-c3cnc4n[nH]cc4c3)ccc2N1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999940395355225, 0.9976990222930908, 0.9933201670646667]
+Clc1ccc(-c2cnc3n[nH]cc3c2)c(Cl)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Clc1ccc(I)c(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1ccc(Br)c(Cl)c1']; [0.999982476234436, 0.996357798576355, 0.9849026799201965, 0.9791423082351685]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+c1ccn2nc(-c3cnc4n[nH]cc4c3)cc2c1; [None]; [None]; [0]
+Cn1cc(-c2cnc3n[nH]cc3c2)c(C(F)(F)F)n1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; [0.999998152256012, 0.9985442757606506]
+COc1ccc2cccc(-c3cnc4n[nH]cc4c3)c2c1; ['Brc1cnc2n[nH]cc2c1']; ['COc1ccc2cccc(Br)c2c1']; [0.9972083568572998]
+COc1cc(-c2cnc3n[nH]cc3c2)ccc1N1CCOCC1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; [0.9986404180526733, 0.9983112215995789]
+CC1(C)Cc2cc(-c3cnc4n[nH]cc4c3)ccc2O1; [None]; [None]; [0]
+O=C(C1CC1)N1CC(Nc2cnc3n[nH]cc3c2)C1; [None]; [None]; [0]
+COc1cc(F)c(-c2cnc3n[nH]cc3c2)cc1OC; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; [0.9999564290046692, 0.9818244576454163]
+Oc1ccc2cccc(-c3cnc4n[nH]cc4c3)c2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Oc1ccc2cccc(Br)c2c1']; [0.9998596906661987, 0.9850821495056152]
+COc1cc(-c2cnc3n[nH]cc3c2)ccc1Cl; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; [0.9999997615814209, 0.9999209642410278, 0.9990605115890503, 0.9980965852737427]
+Clc1cnc(-c2cnc3n[nH]cc3c2)nc1; [None]; [None]; [0]
+OCCn1cc(-c2cnc3n[nH]cc3c2)cn1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'OCCn1cc(B(O)O)cn1']; [0.9999330043792725, 0.8143699169158936]
+Cc1cc(Nc2cnc3n[nH]cc3c2)nn1C; ['Brc1cnc2n[nH]cc2c1']; ['Cc1cc(N)nn1C']; [0.9991697072982788]
+Nc1cc(-c2cnc3n[nH]cc3c2)c2cc[nH]c2n1; ['Brc1cnc2n[nH]cc2c1']; ['Nc1cc(Br)c2cc[nH]c2n1']; [0.9853774905204773]
+c1cc2cnc(-c3cnc4n[nH]cc4c3)nn2c1; [None]; [None]; [0]
+COc1cc(-c2cnc3n[nH]cc3c2)c(OC)cc1Br; ['Brc1cnc2n[nH]cc2c1']; ['COc1cc(I)c(OC)cc1Br']; [0.9771491885185242]
+Cc1csc2c(-c3cnc4n[nH]cc4c3)ncnc12; [None]; [None]; [0]
+O=C(Nc1cnc2n[nH]cc2c1)c1ccco1; ['Brc1cnc2n[nH]cc2c1']; ['NC(=O)c1ccco1']; [0.9847947955131531]
+Cc1nc(Nc2cnc3n[nH]cc3c2)sc1C; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3n[nH]cc3c2)nc1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cnc3n[nH]cc3c1)cn2C; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2cnc3n[nH]cc3c2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cnc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cnc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+c1cc2cn[nH]c2cc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1']; [0.9999986886978149, 0.9990689158439636]
+COc1ccc2oc(-c3cnc4n[nH]cc4c3)cc2c1; ['Brc1cnc2n[nH]cc2c1']; ['COc1ccc2oc(B(O)O)cc2c1']; [0.9964640140533447]
+CO[C@@H]1CC[C@@H](c2cnc3n[nH]cc3c2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cnc3n[nH]cc3c2)CC1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cnc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+CCn1cc(-c2cnc3n[nH]cc3c2)cn1; ['Brc1cnc2n[nH]cc2c1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; [0.9999565482139587]
+c1cc2nc(-c3cnc4n[nH]cc4c3)ncc2s1; [None]; [None]; [0]
+c1ccc2oc(-c3cnc4n[nH]cc4c3)cc2c1; ['Brc1cnc2n[nH]cc2c1']; ['OB(O)c1cc2ccccc2o1']; [0.9906534552574158]
+CC(C)c1nn(C)cc1-c1cnc2n[nH]cc2c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1Br']; [0.9999865293502808, 0.9675785899162292]
+CNC(=O)c1ccc(OC)c(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1']; ['CNC(=O)c1ccc(OC)c(Br)c1']; [0.9396623969078064]
+COc1ccc2nc(-c3cnc4n[nH]cc4c3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['O=Cc1cnc2n[nH]cc2c1']; [0.9999984502792358]
+COc1ccc(F)c(C(=O)Nc2cnc3n[nH]cc3c2)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cnc3n[nH]cc3c2)cc1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3cnc4n[nH]cc4c3)c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; [1.0, 0.9999914169311523, 0.9999700784683228, 0.9997959136962891]
+CCc1cccc(-c2cnc3n[nH]cc3c2)n1; ['Brc1cnc2n[nH]cc2c1']; ['CCc1cccc(Br)n1']; [0.9734163284301758]
+c1nc2n[nH]cc2cc1-c1ncn2c1CCCC2; ['Brc1cnc2n[nH]cc2c1']; ['c1ncn2c1CCCC2']; [0.8653281927108765]
+Cn1cc(Br)cc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cnc3n[nH]cc3c2)c1)N1CCCC1; [None]; [None]; [0]
+Cc1cc(-c2cnc3n[nH]cc3c2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3cnc4n[nH]cc4c3)ccc21; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21']; [0.9999991655349731, 0.9984241724014282, 0.9978866577148438, 0.9852226972579956]
+Cc1n[nH]c2cc(-c3cnc4n[nH]cc4c3)ccc12; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; [1.0, 0.9999837875366211, 0.9997875094413757]
+CN(C)c1ccc(-c2cnc3n[nH]cc3c2)cn1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; [0.9999963045120239, 0.977461576461792, 0.9736797213554382, 0.9588577151298523]
+CC(=O)N1CCC(n2cc(-c3cnc4n[nH]cc4c3)cn2)CC1; ['Brc1cnc2n[nH]cc2c1']; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; [0.9999953508377075]
+CC(C)(O)c1ccc2cc(-c3cnc4n[nH]cc4c3)[nH]c2c1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cnc4n[nH]cc4c3)ccc21; [None]; [None]; [0]
+O=C(Nc1cnc2n[nH]cc2c1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cnc3n[nH]cc3c2)c1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999713897705078, 0.9436827301979065]
+OCCc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1', 'OCCc1ccc(Br)cc1']; [0.9999945163726807, 0.995324969291687, 0.9703037738800049, 0.9397678375244141]
+COc1cc(S(C)(=O)=O)ccc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3cnc4n[nH]cc4c3)cc2)n1C; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc3n[nH]cc3c2)c(OC)c1; ['Brc1cnc2n[nH]cc2c1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; [0.9999450445175171]
+CN(C)C(=O)c1ccc(-c2cnc3n[nH]cc3c2)c(Cl)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1']; ['CCNC(=O)c1ccc(B(O)O)cc1']; [0.9996085166931152]
+COc1cc(N2CCNCC2)ccc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
+c1ccc(Nc2cnc3n[nH]cc3c2)nc1; ['Brc1cnc2n[nH]cc2c1']; ['Nc1ccccn1']; [0.9681515693664551]
+Cc1cc(Nc2cnc3n[nH]cc3c2)ncc1F; ['Brc1cnc2n[nH]cc2c1']; ['Cc1cc(N)ncc1F']; [0.9725968837738037]
+CCNC(=O)Cc1ccc(-c2cnc3n[nH]cc3c2)cc1; ['Brc1cnc2n[nH]cc2c1']; ['CCNC(=O)Cc1ccc(Br)cc1']; [0.9918268918991089]
+Fc1ccc(Nc2cnc3n[nH]cc3c2)nc1; ['Brc1cnc2n[nH]cc2c1']; ['Nc1ccc(F)cn1']; [0.9631727933883667]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnc3n[nH]cc3c2)c1; [None]; [None]; [0]
+Cn1nc(-c2cnc3n[nH]cc3c2)cc1C(C)(C)O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc3n[nH]cc3c2)nc1; ['Brc1cnc2n[nH]cc2c1', 'Brc1cnc2n[nH]cc2c1']; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; [0.9972630739212036, 0.985870361328125]
+CNC(=O)c1ccc(C)c(-c2cnc3n[nH]cc3c2)c1; [None]; [None]; [0]
 CCOc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cnc2n[nH]cc2c1; [None]; [None]; [0]
 c1ccc2nc(-c3n[nH]c4ccsc34)ncc2c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
 COc1ncccc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3ccsc23)cc(OC)c1OC; [None]; [None]; [0]
 Cc1ccc2ncn(-c3n[nH]c4ccsc34)c2c1; [None]; [None]; [0]
 c1cnn2c(-c3n[nH]c4ccsc34)cnc2c1; [None]; [None]; [0]
-Oc1cccc(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
 COc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ccsc23)cc(OC)c1OC; [None]; [None]; [0]
+Oc1cccc(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
 c1cc2[nH]nc(-c3ccc(N4CCOCC4)cc3)c2s1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2n[nH]c3ccsc23)c1)C1CC1; [None]; [None]; [0]
-c1ccc2[nH]c(-c3n[nH]c4ccsc34)nc2c1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3n[nH]c4ccsc34)cc2)CC1; [None]; [None]; [0]
 Cc1cc(Nc2n[nH]c3ccsc23)sn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1n[nH]c2ccsc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2n[nH]c3ccsc23)cn1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3n[nH]c4ccsc34)cc2)CC1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3n[nH]c4ccsc34)nc2c1; [None]; [None]; [0]
 O=C([O-])c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2n[nH]c3ccsc23)c1)C1CC1; [None]; [None]; [0]
+c1ccc2c(-c3n[nH]c4ccsc34)nccc2c1; [None]; [None]; [0]
 c1cnc(Nc2n[nH]c3ccsc23)nc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3n[nH]c4ccsc34)cn2)c1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
-c1ccc2c(Cc3n[nH]c4ccsc34)nccc2c1; [None]; [None]; [0]
 OCCOc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+c1cc(Nc2n[nH]c3ccsc23)ncn1; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 c1cc(-c2n[nH]c3ccsc23)cc(C2CCNCC2)c1; [None]; [None]; [0]
 O=C(c1ccc(-c2n[nH]c3ccsc23)cc1)N1CCOCC1; [None]; [None]; [0]
 O=C(c1ccc(-c2n[nH]c3ccsc23)nc1)N1CCOCC1; [None]; [None]; [0]
-c1cc(Nc2n[nH]c3ccsc23)ncn1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3n[nH]c4ccsc34)cc2C1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 FC(F)(F)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(-c3n[nH]c4ccsc34)cc2C1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 CN(C)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1n[nH]c2ccsc12; [None]; [None]; [0]
-Cc1nc(C)c(-c2n[nH]c3ccsc23)s1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2n[nH]c3ccsc23)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2n[nH]c3ccsc23)cn1; [None]; [None]; [0]
 O=C(c1ccccc1)N1CC[C@H](c2n[nH]c3ccsc23)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2n[nH]c3ccsc23)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2n[nH]c3ccsc23)s1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3n[nH]c4ccsc34)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2n[nH]c3ccsc23)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
 Brc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 CN(C)c1ccc(-c2n[nH]c3ccsc23)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2n[nH]c3ccsc23)c(C)c1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+c1cc2nc(-c3n[nH]c4ccsc34)ccn2n1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
 c1ccc2c(-c3n[nH]c4ccsc34)c[nH]c2c1; [None]; [None]; [0]
-COc1cc(OC)c(-c2n[nH]c3ccsc23)cc1Cl; [None]; [None]; [0]
+c1ccc(-c2cc(-c3n[nH]c4ccsc34)n[nH]2)cc1; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3n[nH]c4ccsc34)[nH]c2c1; [None]; [None]; [0]
 c1cc2[nH]nc(-c3ccc4c(c3)CCO4)c2s1; [None]; [None]; [0]
-c1ccc2cc(-c3n[nH]c4ccsc34)ncc2c1; [None]; [None]; [0]
-c1ccc(-c2cc(-c3n[nH]c4ccsc34)n[nH]2)cc1; [None]; [None]; [0]
+COc1cc(OC)c(-c2n[nH]c3ccsc23)cc1Cl; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
 COc1cc(-c2n[nH]c3ccsc23)ccc1O; [None]; [None]; [0]
-c1cc2c(c(-c3n[nH]c4ccsc34)c1)OCO2; [None]; [None]; [0]
-c1cc2[nH]nc(-c3scc4c3OCCO4)c2s1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+c1cc2[nH]nc(-c3scc4c3OCCO4)c2s1; [None]; [None]; [0]
 c1ccc2ncc(-c3n[nH]c4ccsc34)cc2c1; [None]; [None]; [0]
+c1cc2c(c(-c3n[nH]c4ccsc34)c1)OCO2; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2n[nH]c3ccsc23)c1; [None]; [None]; [0]
+CC1(COc2n[nH]c3ccsc23)COC1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2n[nH]c3ccsc23)cn1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3n[nH]c4ccsc34)nc2c1F; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](c2n[nH]c3ccsc23)CC1; [None]; [None]; [0]
-CC1(COc2n[nH]c3ccsc23)COC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2n[nH]c3ccsc23)c1; [None]; [None]; [0]
+Nc1nc(-c2n[nH]c3ccsc23)cs1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3n[nH]c4ccsc34)n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3n[nH]c4ccsc34)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2n[nH]c3ccsc23)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1n[nH]c2ccsc12; [None]; [None]; [0]
+c1ccc2sc(-c3n[nH]c4ccsc34)cc2c1; [None]; [None]; [0]
 Fc1ccc(-c2n[nH]c3ccsc23)c(Cl)c1; [None]; [None]; [0]
-COc1ccc(-c2n[nH]c3ccsc23)cc1OC; [None]; [None]; [0]
+Cc1cc(-c2n[nH]c3ccsc23)nc(N)n1; [None]; [None]; [0]
 Brc1cnc(-c2n[nH]c3ccsc23)nc1; [None]; [None]; [0]
-CCc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+O=C1CCc2cc(-c3n[nH]c4ccsc34)ccc2N1; [None]; [None]; [0]
 COc1ccc(CNc2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+COc1ccc(-c2n[nH]c3ccsc23)cc1OC; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+CCc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 Clc1ccc(-c2n[nH]c3ccsc23)c(Cl)c1; [None]; [None]; [0]
-c1ncn(CCCc2n[nH]c3ccsc23)n1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2n[nH]c3ccsc23)C1; [None]; [None]; [0]
-c1cc2cnc(-c3n[nH]c4ccsc34)nn2c1; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3ccsc23)ccc1N1CCOCC1; [None]; [None]; [0]
 c1ccn2nc(-c3n[nH]c4ccsc34)cc2c1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3n[nH]c4ccsc34)ccc2O1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ccsc23)ccc1N1CCOCC1; [None]; [None]; [0]
+c1cc2cnc(-c3n[nH]c4ccsc34)nn2c1; [None]; [None]; [0]
 Cn1cc(-c2n[nH]c3ccsc23)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3n[nH]c4ccsc34)ccc2O1; [None]; [None]; [0]
 COc1ccc2cccc(-c3n[nH]c4ccsc34)c2c1; [None]; [None]; [0]
-Oc1ccc2cccc(-c3n[nH]c4ccsc34)c2c1; [None]; [None]; [0]
-COc1cc(F)c(-c2n[nH]c3ccsc23)cc1OC; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3ccsc23)ccc1Cl; [None]; [None]; [0]
-Clc1cnc(-c2n[nH]c3ccsc23)nc1; [None]; [None]; [0]
-Cc1csc2c(-c3n[nH]c4ccsc34)ncnc12; [None]; [None]; [0]
 Cc1nc(Nc2n[nH]c3ccsc23)sc1C; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ccsc23)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2n[nH]c3ccsc23)cn1; [None]; [None]; [0]
+COc1cc(F)c(-c2n[nH]c3ccsc23)cc1OC; [None]; [None]; [0]
+Oc1ccc2cccc(-c3n[nH]c4ccsc34)c2c1; [None]; [None]; [0]
 Cc1cc(Nc2n[nH]c3ccsc23)nn1C; [None]; [None]; [0]
-Nc1cc(-c2n[nH]c3ccsc23)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(-c2n[nH]c3ccsc23)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2n[nH]c3ccsc23)c1; [None]; [None]; [0]
+Cc1csc2c(-c3n[nH]c4ccsc34)ncnc12; [None]; [None]; [0]
+Clc1cnc(-c2n[nH]c3ccsc23)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2n[nH]c3ccsc23)nc1; [None]; [None]; [0]
+O=C(Nc1n[nH]c2ccsc12)c1ccco1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ccsc23)c(OC)cc1Br; [None]; [None]; [0]
+Nc1cc(-c2n[nH]c3ccsc23)c2cc[nH]c2n1; [None]; [None]; [0]
 NC(=O)c1ccc(Cc2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 O=S(=O)(CCO)c1ccc(Cc2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
-O=C(Nc1n[nH]c2ccsc12)c1ccco1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2n[nH]c3ccsc23)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2n[nH]c3ccsc23)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2n[nH]c3ccsc23)CC1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1n[nH]c3ccsc13)cn2C; [None]; [None]; [0]
-c1cc2[nH]nc(-c3ccc4cn[nH]c4c3)c2s1; [None]; [None]; [0]
-COc1ccc2oc(-c3n[nH]c4ccsc34)cc2c1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
 CC(C)(C)c1ccc(C(=O)Nc2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+COc1ccc2oc(-c3n[nH]c4ccsc34)cc2c1; [None]; [None]; [0]
+c1cc2[nH]nc(-c3ccc4cn[nH]c4c3)c2s1; [None]; [None]; [0]
 CCn1cc(-c2n[nH]c3ccsc23)cn1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
-c1cncc(-c2ccnc(-c3n[nH]c4ccsc34)c2)c1; [None]; [None]; [0]
 c1ccc2oc(-c3n[nH]c4ccsc34)cc2c1; [None]; [None]; [0]
+COc1ccc2nc(-c3n[nH]c4ccsc34)[nH]c2c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3n[nH]c4ccsc34)c2)c1; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2n[nH]c3ccsc23)c1; [None]; [None]; [0]
 c1cc2nc(-c3n[nH]c4ccsc34)ncc2s1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2n[nH]c3ccsc23)c1)N1CCCC1; [None]; [None]; [0]
-COc1ccc2nc(-c3n[nH]c4ccsc34)[nH]c2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3n[nH]c4ccsc34)[nH]c2c1; [None]; [None]; [0]
 FC(F)(F)Oc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2n[nH]c3ccsc23)c1; [None]; [None]; [0]
+c1cc2[nH]nc(-c3ncn4c3CCCC4)c2s1; [None]; [None]; [0]
 Cn1cc(-c2n[nH]c3ccsc23)c2ccccc21; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3n[nH]c4ccsc34)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(-c2n[nH]c3ccsc23)n1; [None]; [None]; [0]
-c1cc2[nH]nc(-c3ncn4c3CCCC4)c2s1; [None]; [None]; [0]
+Cn1ncc2cc(-c3n[nH]c4ccsc34)ccc21; [None]; [None]; [0]
 Cc1cc(-c2n[nH]c3ccsc23)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3n[nH]c4ccsc34)ccc21; [None]; [None]; [0]
-Cn1ncc2cc(-c3n[nH]c4ccsc34)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2n[nH]c3ccsc23)cn1; [None]; [None]; [0]
+O=C(Nc1n[nH]c2ccsc12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3n[nH]c4ccsc34)ccc12; [None]; [None]; [0]
-O=C1CCCN1c1cccc(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3n[nH]c4ccsc34)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2n[nH]c3ccsc23)cn1; [None]; [None]; [0]
 OCCc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
-O=C(Nc1n[nH]c2ccsc12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2n[nH]c3ccsc23)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3n[nH]c4ccsc34)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2n[nH]c3ccsc23)c(Cl)c1; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2n[nH]c3ccsc23)c(OC)c1; [None]; [None]; [0]
-Cn1nc(-c2n[nH]c3ccsc23)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
 Fc1ccc(Nc2n[nH]c3ccsc23)nc1; [None]; [None]; [0]
 Cc1cc(Nc2n[nH]c3ccsc23)ncc1F; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2n[nH]c3ccsc23)c(OC)c1; [None]; [None]; [0]
 c1ccc(Nc2n[nH]c3ccsc23)nc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-CCOc1ccccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2n[nH]c3ccsc23)nc1; [None]; [None]; [0]
+Cn1nc(-c2n[nH]c3ccsc23)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2n[nH]c3ccsc23)cc1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cnc2[nH]ccc2c1N; ['CNC(=O)c1ccccc1B(O)O']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9998030662536621]
+CCOc1ccccc1-c1cnc2[nH]ccc2c1N; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999980926513672, 0.9999362230300903]
 Cc1nnc(-c2ccccc2-c2cnc3[nH]ccc3c2N)[nH]1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cnc2[nH]ccc2c1N; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9993959665298462]
 CP(C)(=O)c1ccccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-Nc1c(-c2ccnc3ccccc23)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2cccc(C(F)(F)F)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2ccccc2Br)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2ccccc2OC(F)(F)F)cnc2[nH]ccc12; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1n[nH]c2ccsc12; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2n[nH]c3ccsc23)c1; [None]; [None]; [0]
+Nc1c(-c2ccccc2OC(F)(F)F)cnc2[nH]ccc12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999948143959045, 0.9999105930328369]
 Nc1c(-c2ccccc2C(=O)[O-])cnc2[nH]ccc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-Nc1c(-c2cnn(Cc3ccccc3)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2cnc(-c3ccccc3)[nH]2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2cnn(CCO)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cnc3[nH]ccc3c2N)cs1; [None]; [None]; [0]
-Nc1c(-c2cccc(NC(=O)c3ccccc3)c2)cnc2[nH]ccc12; [None]; [None]; [0]
+CCn1cc(-c2cnc3[nH]ccc3c2N)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999996423721313, 0.9999798536300659]
+Nc1c(-c2cccc(C(F)(F)F)c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999995827674866, 0.9999921321868896]
+Nc1c(-c2ccnc3ccccc23)cnc2[nH]ccc12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccnc2ccccc12']; [0.9999549388885498, 0.9994813203811646]
+COc1ccc(F)cc1[C@@H](C)c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cnc2[nH]ccc2c1N; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9998989105224609, 0.9888308048248291]
+Cn1cnc2ccc(-c3cnc4[nH]ccc4c3N)cc2c1=O; [None]; [None]; [0]
+Nc1c(-c2cnn(Cc3ccccc3)c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999997615814209, 0.9999905824661255]
+Nc1c(-c2cccc(NC(=O)c3ccccc3)c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [1.0, 0.9999728798866272]
+Nc1c(-c2cc(Cl)ccc2Cl)cnc2[nH]ccc12; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cc(Cl)ccc1Cl']; [0.999980092048645, 0.9994527101516724]
+Cc1ccc(-c2cnc3[nH]ccc3c2N)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9831323623657227]
 COc1cnc(-c2cnc3[nH]ccc3c2N)nc1; [None]; [None]; [0]
-Cc1ccc(-c2cnc3[nH]ccc3c2N)c(Br)c1; [None]; [None]; [0]
+Nc1c(-c2cnc(-c3ccccc3)[nH]2)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2cnn(CCO)c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OCCn1cc(B(O)O)cn1', 'OCCn1cc(Br)cn1']; [0.9999983906745911, 0.9999650716781616, 0.9860274195671082]
 Cc1nc2ccccn2c1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-Nc1c(-c2cnc3ccccn23)cnc2[nH]ccc12; [None]; [None]; [0]
-Cc1nc(C)c(-c2cnc3[nH]ccc3c2N)s1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cnc3[nH]ccc3c2N)cs1; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-CNc1nc(C)c(-c2cnc3[nH]ccc3c2N)s1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cnc3[nH]ccc3c2N)s1; ['Cc1csc(C)n1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9484140276908875]
+Nc1c([C@@H](N)c2ccco2)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2cnc3ccccn23)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2c(Cl)cccc2Cl)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9994197487831116]
 Nc1c(-c2cnc3cccnn23)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2c(Cl)cccc2Cl)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2cccc(Br)c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cccc(Br)c1']; [0.9999850392341614, 0.9996496438980103]
+Cc1ccc(Cl)c(-c2cnc3[nH]ccc3c2N)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.999948263168335, 0.9990823268890381]
 Nc1c(-c2cccc(Cn3cncn3)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
-Cc1c(-c2cnc3[nH]ccc3c2N)sc(=O)n1C; [None]; [None]; [0]
+CNc1nc(C)c(-c2cnc3[nH]ccc3c2N)s1; [None]; [None]; [0]
+Nc1c(-c2ccc3ccccc3c2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccc2ccccc2c1']; [0.9999997019767761, 0.9999987483024597]
 Nc1nccc(-c2cnc3[nH]ccc3c2N)n1; [None]; [None]; [0]
+Nc1c(-c2c[nH]nc2C(F)(F)F)cnc2[nH]ccc12; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.999998927116394]
+Cc1c(-c2cnc3[nH]ccc3c2N)sc(=O)n1C; [None]; [None]; [0]
 Nc1c(-c2cnn3ncccc23)cnc2[nH]ccc12; [None]; [None]; [0]
-COc1cccc(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
-Nc1c(-c2ccc3ccccc3c2)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2cncc3ccccc23)cnc2[nH]ccc12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cncc2ccccc12']; [0.9999740123748779, 0.9974839687347412]
+NC(=O)c1c(F)cccc1-c1cnc2[nH]ccc2c1N; ['NC(=O)c1c(F)cccc1Br']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9866987466812134]
+Cn1cc(-c2ccc(-c3cnc4[nH]ccc4c3N)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; ['Nc1c(Br)cnc2[nH]ccc12']; [1.0]
+CC(C)(C)c1cnc(Cc2cnc3[nH]ccc3c2N)o1; [None]; [None]; [0]
 Nc1c(-c2cccc(CC(=O)[O-])c2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2cncc3ccccc23)cnc2[nH]ccc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cnc4[nH]ccc4c3N)cc2)cn1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cnc4[nH]ccc4c3N)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [1.0, 0.9999995231628418, 0.9464682340621948]
+Nc1c(-c2cccc(O)c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cccc(O)c1']; [0.9999954700469971, 0.999636173248291]
+Nc1c(-c2ccc(-c3cn[nH]c3)cc2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [1.0, 0.9999902248382568]
 Nc1[nH]nc2cc(-c3cnc4[nH]ccc4c3N)ccc12; [None]; [None]; [0]
-CN1c2ccc(-c3cnc4[nH]ccc4c3N)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3cnc4[nH]ccc4c3N)ccc21; [None]; [None]; [0]
+Nc1c(-c2cccc(CO)c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OCc1cccc(B(O)O)c1']; [0.9999905824661255, 0.9991246461868286]
+CC(C)n1cc(-c2cnc3[nH]ccc3c2N)nn1; [None]; [None]; [0]
+Nc1c(-c2csc3ncncc23)cnc2[nH]ccc12; [None]; [None]; [0]
 CCCn1cnc(-c2cnc3[nH]ccc3c2N)n1; [None]; [None]; [0]
-Nc1c(-c2cccc(O)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2cccc(CO)c2)cnc2[nH]ccc12; [None]; [None]; [0]
+CN1c2ccc(-c3cnc4[nH]ccc4c3N)cc2CS1(=O)=O; [None]; [None]; [0]
+Nc1c(-c2cc3ccccc3[nH]2)cnc2[nH]ccc12; [None]; [None]; [0]
 COc1cc(-c2cnc3[nH]ccc3c2N)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cnc3[nH]ccc3c2N)nn1; [None]; [None]; [0]
 CSc1nc(-c2cnc3[nH]ccc3c2N)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cnc3[nH]ccc3c2N)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999914169311523, 0.9817286729812622]
 CC(C)c1oncc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-Nc1c(-c2csc3ncncc23)cnc2[nH]ccc12; [None]; [None]; [0]
-N#CCCc1cccc(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3cnc4[nH]ccc4c3N)cc2s1; [None]; [None]; [0]
+Nc1ncncc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9999986290931702]
+Nc1c(-c2ccc(F)cc2C(F)(F)F)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9999836683273315]
+CC(=O)Nc1cccc(-c2cnc3[nH]ccc3c2N)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.999999463558197, 0.9999790191650391, 0.9611705541610718]
+Cn1cc(-c2cnc3[nH]ccc3c2N)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9999828934669495]
+Nc1c(Cc2c(F)cccc2F)cnc2[nH]ccc12; ['Fc1cccc(F)c1C[Zn]Br']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9997332096099854]
+COc1ccc(-c2cnc3[nH]ccc3c2N)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [1.0, 0.9999942183494568]
 CC[C@H](CO)c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-Nc1c(-c2ccc(F)cc2C(F)(F)F)cnc2[nH]ccc12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]ccc3c2N)c2ccccc21; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]ccc3c2N)cc1Cl; [None]; [None]; [0]
-Nc1c(-c2cnn3ccccc23)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-CCCn1cc(-c2cnc3[nH]ccc3c2N)cn1; [None]; [None]; [0]
-Nc1c(-c2cc[nH]c(=O)c2)cnc2[nH]ccc12; [None]; [None]; [0]
+CCCn1cc(-c2cnc3[nH]ccc3c2N)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999996423721313, 0.9999781847000122]
+Nc1c(-c2cc[nH]c(=O)c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.999995231628418]
+CCNc1nc2ccc(-c3cnc4[nH]ccc4c3N)cc2s1; [None]; [None]; [0]
+Nc1c(-c2cnn3ccccc23)cnc2[nH]ccc12; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cnn2ccccc12']; [0.9999306201934814, 0.9997289776802063]
 Nc1c(-c2cccc3c2C(=O)CC3)cnc2[nH]ccc12; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999964237213135, 0.9997826814651489]
 CC(C)(N)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+Nc1c(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cnc2[nH]ccc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cnc3[nH]ccc3c2N)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.999991238117218, 0.9999346733093262]
+CS(=O)(=O)c1cccc(Cc2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999996423721313, 0.9998927116394043]
 Nc1c(-c2cc3c(=O)[nH]ccc3o2)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1cccc(F)c1-c1cnc2[nH]ccc2c1N; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.999997079372406, 0.9999861121177673]
+CN(c1ncccc1Cc1cnc2[nH]ccc2c1N)S(C)(=O)=O; [None]; [None]; [0]
 Nc1c(-c2cc3c(=O)[nH]cc(Br)c3s2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2c[nH]c3ccccc23)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2c[nH]c3cnccc23)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2c[nH]c3cnccc23)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['OB(O)c1c[nH]c2cnccc12']; [0.9999147653579712]
+Nc1c(-c2cnc3[nH]ccc3c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cnc2[nH]ccc2c1']; [0.9999996423721313, 0.9999984502792358]
+Nc1c([C@H](CO)c2ccccc2)cnc2[nH]ccc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999984502792358, 0.9996191263198853]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999986886978149, 0.9992736577987671]
 CNC(=O)c1c(F)cccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-Nc1c(-c2cnc3[nH]ccc3c2)cnc2[nH]ccc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999997615814209, 0.9999628067016602]
+Nc1c(-c2c(F)cccc2Cl)cnc2[nH]ccc12; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1c(F)cccc1Cl']; [0.999997615814209, 0.9999833106994629]
 CC1(c2cnc3[nH]ccc3c2N)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-Nc1c(-c2ccc(N3CCOCC3)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-Nc1c(-c2cccnc2O)cnc2[nH]ccc12; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+Nc1c([C@H](CO)Cc2ccccc2)cnc2[nH]ccc12; [None]; [None]; [0]
 Nc1c(-c2ccc(-n3cncn3)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2nc3ccc(O)cc3[nH]2)cnc2[nH]ccc12; [None]; [None]; [0]
+Cc1cc(-c2cnc3[nH]ccc3c2N)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Nc1c(-c2ccc(N3CCOCC3)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1ccc(-c2cnc3[nH]ccc3c2N)c(OC)c1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999955296516418, 0.9999037981033325]
+Nc1c(-c2ccc(C(=O)c3ccccc3)cc2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.999993622303009, 0.999523401260376, 0.8702369332313538]
+CCc1cc(-c2cnc3[nH]ccc3c2N)nc(N)n1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cnc3[nH]ccc3c2N)[nH]1; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]ccc3c2N)c(OC)c1; [None]; [None]; [0]
-Nc1c(-c2ccc(C(=O)c3ccccc3)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2cn(Cc3ccccc3)nn2)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['c1ccc(Cn2ccnn2)cc1']; [0.9717248678207397]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc3[nH]ccc3c2N)CC1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-Nc1c(-c2nncn2C2CC2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2ccn(CC[NH3+])n2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2cn(Cc3ccccc3)nn2)cnc2[nH]ccc12; [None]; [None]; [0]
-CCc1cc(-c2cnc3[nH]ccc3c2N)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2cnc3[nH]ccc3c2N)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cnc3[nH]ccc3c2N)s1; [None]; [None]; [0]
 Nc1nnc(-c2cnc3[nH]ccc3c2N)s1; [None]; [None]; [0]
+Nc1c(-c2ccn(CC[NH3+])n2)cnc2[nH]ccc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cnc3[nH]ccc3c2N)n1; [None]; [None]; [0]
+Nc1c(-c2nncn2C2CC2)cnc2[nH]ccc12; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+CCCCc1cc(-c2cnc3[nH]ccc3c2N)nc(N)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cnc3[nH]ccc3c2N)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-Nc1c(-c2nc3ccccc3s2)cnc2[nH]ccc12; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc4[nH]ccc4c3N)c2)cc1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cnc4[nH]ccc4c3N)nc2NC1=O; [None]; [None]; [0]
-Nc1c(-c2cccc3ccsc23)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2nc3ccccc3s2)cnc2[nH]ccc12; ['CCCC[Sn](CCCC)(CCCC)c1nc2ccccc2s1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9976565837860107]
+Nc1c(-c2cccc3ccsc23)cnc2[nH]ccc12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cccc2ccsc12']; [0.9999959468841553, 0.999817967414856]
+Nc1cncc(-c2cnc3[nH]ccc3c2N)n1; [None]; [None]; [0]
 Nc1c(-c2cccc3nnsc23)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(CCCNC(=O)c2cccs2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(CCCNC(=O)C2CCC2)cnc2[nH]ccc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cnc3[nH]ccc3c2N)[nH]1; [None]; [None]; [0]
-Nc1c(-c2ncc3ccccc3n2)cnc2[nH]ccc12; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cnc4[nH]ccc4c3N)nc2NC1=O; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cnc3[nH]ccc3c2N)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc4[nH]ccc4c3N)c2)cc1; [None]; [None]; [0]
 Nc1c(-c2c[nH]c3cccnc23)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2ncc3ccccc3n2)cnc2[nH]ccc12; [None]; [None]; [0]
 Nc1c(-c2ncc3cc[nH]c3n2)cnc2[nH]ccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+Nc1c(CCCNC(=O)c2cccs2)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cnc2[nH]ccc2c1N; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999966621398926, 0.9999645948410034]
+CC(=O)Nc1ncc(-c2cnc3[nH]ccc3c2N)[nH]1; [None]; [None]; [0]
+Nc1c(CCCNC(=O)C2CCC2)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cnc3[nH]ccc3c2N)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9993792772293091, 0.9987185597419739]
+Nc1c(-c2cn(CCO)cn2)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1ncccc1-c1cnc2[nH]ccc2c1N; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999676942825317, 0.9991034269332886]
 C[C@@]1(O)CC[C@H](c2cnc3[nH]ccc3c2N)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnc3[nH]ccc3c2N)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2cnc3[nH]ccc3c2N)cnn1; [None]; [None]; [0]
-Nc1c(N2CCC(c3nc4ccccc4[nH]3)CC2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2cccc(NC(=O)C3CCNCC3)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cnc3[nH]ccc3c2N)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999998807907104, 0.9999598264694214, 0.9988709688186646]
+CS(=O)(=O)Nc1ccccc1Cc1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+CCOc1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999983310699463, 0.9999127388000488]
+CC(=O)N(C)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999971389770508, 0.8707169890403748]
+CS(=O)(=O)c1cccc(-c2cnc3[nH]ccc3c2N)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999997615814209, 0.9999909400939941]
+COc1cc(-c2cnc3[nH]ccc3c2N)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.999997079372406, 0.9999494552612305]
+N#Cc1ccc(O)c(-c2cnc3[nH]ccc3c2N)c1; ['N#Cc1ccc(O)c(B(O)O)c1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9992512464523315]
 Cc1nc(C(C)(C)O)sc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-COc1ncccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]ccc3c2N)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3cnc4[nH]ccc4c3N)c2c1; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
 Nc1c(-c2cccc(NC(=O)C3CC3)c2)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999973773956299, 0.9996172785758972]
+CN(C)c1cc(-c2cnc3[nH]ccc3c2N)cnn1; [None]; [None]; [0]
 Nc1c(-c2nc3ccccc3[nH]2)cnc2[nH]ccc12; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4[nH]ccc4c3N)cc2)CC1; [None]; [None]; [0]
-Cc1cc(Nc2cnc3[nH]ccc3c2N)sn1; [None]; [None]; [0]
-Nc1c(-n2ncc3ccccc3c2=O)cnc2[nH]ccc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnc3[nH]ccc3c2N)cn1; [None]; [None]; [0]
+Cc1cc(Nc2cnc3[nH]ccc3c2N)sn1; ['Cc1cc(N)sn1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9975252151489258]
 Nc1c(-c2ccc(C(=O)[O-])cc2)cnc2[nH]ccc12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-Nc1c(Nc2ncccn2)cnc2[nH]ccc12; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cnc4[nH]ccc4c3N)c2c1; [None]; [None]; [0]
+Nc1c(-c2nccc3ccccc23)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['OB(O)c1nccc2ccccc12']; [0.9978777766227722]
+NC(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999982118606567, 0.9996576309204102]
 N#Cc1cccc(Cn2cc(-c3cnc4[nH]ccc4c3N)cn2)c1; [None]; [None]; [0]
-Nc1c(-c2ccc(C(=O)Nc3ccccc3)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(Cc2nccc3ccccc23)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2ccc(OCCO)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
+Nc1c(-c2ccc(C(=O)Nc3ccccc3)cc2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.9999997615814209, 0.9998579025268555]
+Nc1c(Nc2ncccn2)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['Nc1ncccn1']; [0.9971904158592224]
 Nc1c(-c2cccc(C3CCNCC3)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2ccc(C(=O)N3CCOCC3)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(Nc2ccncn2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2ccc(C(=O)N3CCOCC3)cn2)cnc2[nH]ccc12; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999990463256836, 0.9997742176055908]
+Nc1c(-c2ccc(OCCO)cc2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OCCOc1ccc(B(O)O)cc1']; [0.9999997019767761, 0.9998626708984375]
+Nc1c(-c2ccc(C(=O)N3CCOCC3)cc2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 0.9999868273735046, 0.9690687656402588]
+Nc1c(Nc2ccncn2)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['Nc1ccncn1']; [0.998802661895752]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc4[nH]ccc4c3N)cc2)CC1; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
 Nc1c(-c2ccc3c(c2)CS(=O)(=O)C3)cnc2[nH]ccc12; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-Nc1c(-c2ccc(C(F)(F)F)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-Nc1c(Cc2ccccc2O)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2ccc(C(=O)N3CCOCC3)cn2)cnc2[nH]ccc12; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999995827674866, 0.9999154806137085]
+Nc1c(-c2ccc(C(F)(F)F)cc2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'CC1(C)COB(c2ccc(C(F)(F)F)cc2)OC1', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccc(C(F)(F)F)cc1']; [0.9999988079071045, 0.999993085861206, 0.9999300241470337]
+CCNS(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.998802125453949]
+CN(C)S(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999995231628418, 0.9997891783714294]
+CC(C)c1cc(-c2cnc3[nH]ccc3c2N)nc(N)n1; ['CC(C)c1ccnc(N)n1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9914919137954712]
+Nc1c(-c2ccc(Br)cc2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccc(Br)cc1']; [0.9999899864196777, 0.9809539318084717]
 CS(=O)(=O)N1CCC(c2cnc3[nH]ccc3c2N)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2cnc3[nH]ccc3c2N)cn1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc3[nH]ccc3c2N)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999992847442627, 0.9472924470901489]
 Nc1c([C@H]2CCN(C(=O)c3ccccc3)C2)cnc2[nH]ccc12; [None]; [None]; [0]
-CC(C)c1cc(-c2cnc3[nH]ccc3c2N)nc(N)n1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999991655349731, 0.9995275735855103, 0.9385409355163574]
 CC(=O)N1CCCN(c2cccc(-c3cnc4[nH]ccc4c3N)c2)CC1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
 CCCOc1ccc(-c2cnc3[nH]ccc3c2N)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-Nc1c(-c2ccc(Br)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3[nH]ccc3c2N)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc3[nH]ccc3c2N)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.999998927116394, 0.9999179840087891]
+COc1ccc(Cl)cc1-c1cnc2[nH]ccc2c1N; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.999983549118042, 0.9999532103538513]
+Nc1c(-c2ccn3nccc3n2)cnc2[nH]ccc12; ['Clc1ccn2nccc2n1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9972782135009766]
+Nc1c(-c2ccccc2-n2cccn2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12', 'Brc1ccccc1-n1cccn1']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccccc1-n1cccn1', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999722838401794, 0.999901533126831, 0.9960319995880127]
+Nc1c(-c2ccc3c(c2)CCO3)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccc2c(c1)CCO2']; [0.9999998211860657, 0.9999958872795105]
+Nc1c(-c2c[nH]c3ccccc23)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1cc(-c2cnc3[nH]ccc3c2N)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999969005584717, 0.9997826218605042]
+Nc1c(-c2cccc3c2OCO3)cnc2[nH]ccc12; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cccc2c1OCO2']; [0.9999657869338989, 0.9984723329544067]
 COc1cc(OC)c(-c2cnc3[nH]ccc3c2N)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+Nc1c(-c2cnc3ccccc3c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1cnc2ccccc2c1']; [0.9999983310699463, 0.9999864101409912]
 CC(C)c1ccc2nc(-c3cnc4[nH]ccc4c3N)[nH]c2c1; [None]; [None]; [0]
-Nc1c(-c2ccc3c(c2)CCO3)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2cc3ccccc3cn2)cnc2[nH]ccc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc3[nH]ccc3c2N)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999974370002747, 0.9990130662918091]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999998807907104, 0.9997626543045044, 0.9123265147209167]
+Nc1nc(-c2cnc3[nH]ccc3c2N)cs1; [None]; [None]; [0]
 Nc1c(-c2cc(-c3ccccc3)[nH]n2)cnc2[nH]ccc12; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]ccc3c2N)ccc1O; [None]; [None]; [0]
-Nc1c(-c2cccc3c2OCO3)cnc2[nH]ccc12; [None]; [None]; [0]
 Nc1c(-c2scc3c2OCCO3)cnc2[nH]ccc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-Nc1c(-c2cnc3ccccc3c2)cnc2[nH]ccc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc3[nH]ccc3c2N)cn1; [None]; [None]; [0]
-Nc1c(Cc2nc3c(F)c(F)ccc3[nH]2)cnc2[nH]ccc12; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnc3[nH]ccc3c2N)CC1; [None]; [None]; [0]
-CC1(COc2cnc3[nH]ccc3c2N)COC1; [None]; [None]; [0]
+Nc1c(-c2ccn(-c3cccc(Cl)c3)n2)cnc2[nH]ccc12; [None]; [None]; [0]
+CC1(COc2cnc3[nH]ccc3c2N)COC1; ['CC1(CO)COC1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9839023351669312]
+Nc1c(-c2cc3ccccc3s2)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['OB(O)c1cc2ccccc2s1']; [0.9999920129776001]
+CSc1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999978542327881, 0.9989452362060547]
+Nc1c(-c2ccc(F)cc2Cl)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccc(F)cc1Cl']; [0.9999997019767761, 0.9999793767929077]
 COc1cccc(C(=O)Nc2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3cnc4[nH]ccc4c3N)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2cnc3[nH]ccc3c2N)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
-Nc1c([C@H](CO)Cc2ccccc2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2ccc(F)cc2Cl)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2ccc3c(c2)CCC(=O)N3)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9999966025352478]
+Cc1cc(-c2cnc3[nH]ccc3c2N)nc(N)n1; ['Cc1cc(Br)nc(N)n1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9998467564582825]
+CCN1CCN(Cc2ccc(-c3cnc4[nH]ccc4c3N)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999313950538635, 0.926184892654419]
+CCc1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999985694885254, 0.99900883436203]
+COc1ccc(-c2cnc3[nH]ccc3c2N)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999994039535522, 0.9999852180480957]
 Nc1c(-c2ncc(Br)cn2)cnc2[nH]ccc12; [None]; [None]; [0]
-COc1ccc(-c2cnc3[nH]ccc3c2N)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-COc1ccc(CNc2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-Nc1c(-c2ccc(Cl)cc2Cl)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(CCCn2cncn2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(NC2CN(C(=O)C3CC3)C2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2ncc3cccn3n2)cnc2[nH]ccc12; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]ccc3c2N)ccc1N1CCOCC1; [None]; [None]; [0]
-Nc1c(-c2cc3ccccn3n2)cnc2[nH]ccc12; [None]; [None]; [0]
-Cn1cc(-c2cnc3[nH]ccc3c2N)c(C(F)(F)F)n1; [None]; [None]; [0]
+COc1ccc(CNc2cnc3[nH]ccc3c2N)cc1; ['COc1ccc(CN)cc1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9991928339004517]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
+Nc1c(-c2ccc(Cl)cc2Cl)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9999980926513672, 0.9999513626098633]
 CC1(C)Cc2cc(-c3cnc4[nH]ccc4c3N)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3cnc4[nH]ccc4c3N)c2c1; [None]; [None]; [0]
-Nc1c(-c2cccc3ccc(O)cc23)cnc2[nH]ccc12; [None]; [None]; [0]
-COc1cc(F)c(-c2cnc3[nH]ccc3c2N)cc1OC; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]ccc3c2N)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2cnc3[nH]ccc3c2N)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999996423721313, 0.9979498982429504]
+Nc1c(-c2ncc3cccn3n2)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(NC2CN(C(=O)C3CC3)C2)cnc2[nH]ccc12; [None]; [None]; [0]
+Cn1cc(-c2cnc3[nH]ccc3c2N)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999904036521912, 0.9997090101242065]
+Nc1c(-c2cc3ccccn3n2)cnc2[nH]ccc12; ['Clc1cc2ccccn2n1', 'Brc1cc2ccccn2n1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9980288147926331, 0.8113986253738403]
+COc1cc(-c2cnc3[nH]ccc3c2N)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999998807907104, 0.9999948740005493]
 Nc1c(-c2ncc(Cl)cn2)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1cc(F)c(-c2cnc3[nH]ccc3c2N)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.999998927116394, 0.9999702572822571]
 Cc1csc2c(-c3cnc4[nH]ccc4c3N)ncnc12; [None]; [None]; [0]
-Cc1nc(Nc2cnc3[nH]ccc3c2N)sc1C; [None]; [None]; [0]
-Cc1cc(Nc2cnc3[nH]ccc3c2N)nn1C; [None]; [None]; [0]
+COc1ccc2cccc(-c3cnc4[nH]ccc4c3N)c2c1; [None]; [None]; [0]
+Cc1cc(Nc2cnc3[nH]ccc3c2N)nn1C; ['Cc1cc(N)nn1C']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9996340274810791]
+CNC(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [1.0, 0.9998610019683838]
+Nc1c(-c2cccc3ccc(O)cc23)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1cc(-c2cnc3[nH]ccc3c2N)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9858120083808899]
 Nc1cc(-c2cnc3[nH]ccc3c2N)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(-c2cnc3[nH]ccc3c2N)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
+Cc1nc(Nc2cnc3[nH]ccc3c2N)sc1C; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3[nH]ccc3c2N)nc1; [None]; [None]; [0]
+Nc1c(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cnc2[nH]ccc12; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
 NC(=O)c1ccc(Cc2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
 Nc1c(Cc2ccc(S(=O)(=O)CCO)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(NC(=O)c2ccco2)cnc2[nH]ccc12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2cnc3[nH]ccc3c2N)CC1; [None]; [None]; [0]
-Nc1c(-c2cccc(C(=O)Nc3cn[nH]c3)c2)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnc3[nH]ccc3c2N)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999985694885254, 0.999989926815033]
 CCNC(=O)N1CCC(c2cnc3[nH]ccc3c2N)CC1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnc3[nH]ccc3c2N)CC1; [None]; [None]; [0]
+Nc1c(NC(=O)c2ccco2)cnc2[nH]ccc12; [None]; [None]; [0]
+COc1ccc2oc(-c3cnc4[nH]ccc4c3N)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9999890327453613]
+Nc1c(-c2ccc3cn[nH]c3c2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccc2cn[nH]c2c1']; [0.9999997615814209, 0.9999949932098389]
 COc1ccc2c(c1)c(-c1cnc3[nH]ccc3c1N)cn2C; [None]; [None]; [0]
-COc1ccc2oc(-c3cnc4[nH]ccc4c3N)cc2c1; [None]; [None]; [0]
-Nc1c(-c2ccc3cn[nH]c3c2)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2cc3ccccc3o2)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['OB(O)c1cc2ccccc2o1']; [0.9999760389328003]
+CC(C)(C)c1ccc(C(=O)Nc2cnc3[nH]ccc3c2N)cc1; ['CC(C)(C)c1ccc(C(N)=O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9646211862564087]
 C[NH+](C)Cc1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-CCn1cc(-c2cnc3[nH]ccc3c2N)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
-Nc1c(-c2cc(-c3cccnc3)ccn2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2cc3ccccc3o2)cnc2[nH]ccc12; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-Nc1c(-c2ncc3sccc3n2)cnc2[nH]ccc12; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-Nc1c(-c2cccc(NC(=O)N3CCCC3)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cnc2[nH]ccc2c1N; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9999954700469971]
 COc1ccc2nc(-c3cnc4[nH]ccc4c3N)[nH]c2c1; [None]; [None]; [0]
-Nc1c(-c2ccc(OC(F)(F)F)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2cc(-c3cccnc3)ccn2)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2ncc3sccc3n2)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2ccc(OC(F)(F)F)cc2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [1.0, 0.9999955296516418]
 COc1ccc(F)c(C(=O)Nc2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cnc4[nH]ccc4c3N)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(-c2cnc3[nH]ccc3c2N)n1; [None]; [None]; [0]
+Nc1c(-c2cccc(NC(=O)N3CCCC3)c2)cnc2[nH]ccc12; [None]; [None]; [0]
+Nc1c(-c2ncn3c2CCCC3)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['c1ncn2c1CCCC2']; [0.9848873615264893]
+CN(C)c1ccc(-c2cnc3[nH]ccc3c2N)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9999974966049194, 0.9998235702514648, 0.8315632343292236]
+Cc1n[nH]c2cc(-c3cnc4[nH]ccc4c3N)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [1.0, 0.9999961853027344, 0.9905456304550171]
+CC(=O)N1CCC(n2cc(-c3cnc4[nH]ccc4c3N)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9999994039535522]
 Cc1cc(-c2cnc3[nH]ccc3c2N)cc(C)c1OCCO; [None]; [None]; [0]
-Nc1c(-c2ncn3c2CCCC3)cnc2[nH]ccc12; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cnc4[nH]ccc4c3N)ccc21; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cnc4[nH]ccc4c3N)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc3[nH]ccc3c2N)cn1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cnc4[nH]ccc4c3N)cn2)CC1; [None]; [None]; [0]
-Nc1c(-c2cccc(N3CCCC3=O)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(-c2ccc(CCO)cc2)cnc2[nH]ccc12; [None]; [None]; [0]
-Nc1c(NC(=O)c2cccc(OC(F)(F)F)c2)cnc2[nH]ccc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cnc3[nH]ccc3c2N)c(Cl)c1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cnc4[nH]ccc4c3N)[nH]c2c1; [None]; [None]; [0]
+Nc1c(-c2ccc(CCO)cc2)cnc2[nH]ccc12; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1c(Br)cnc2[nH]ccc12']; ['Nc1c(Br)cnc2[nH]ccc12', 'OCCc1ccc(B(O)O)cc1']; [0.9999985098838806, 0.9997518062591553]
+Nc1c(-c2cccc(N3CCCC3=O)c2)cnc2[nH]ccc12; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9999910593032837]
+Nc1c(NC(=O)c2cccc(OC(F)(F)F)c2)cnc2[nH]ccc12; ['NC(=O)c1cccc(OC(F)(F)F)c1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9973917007446289]
+CNC(=O)c1ccc(-c2cnc3[nH]ccc3c2N)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9999969005584717]
+COc1cc(S(C)(=O)=O)ccc1-c1cnc2[nH]ccc2c1N; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9953893423080444]
 Cc1ncc(-c2ccc(-c3cnc4[nH]ccc4c3N)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]ccc3c2N)c(Cl)c1; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc3[nH]ccc3c2N)c(OC)c1; [None]; [None]; [0]
-Cn1nc(-c2cnc3[nH]ccc3c2N)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; [None]; [None]; [0]
-Nc1c(Nc2ccc(F)cn2)cnc2[nH]ccc12; [None]; [None]; [0]
-Cc1cc(Nc2cnc3[nH]ccc3c2N)ncc1F; [None]; [None]; [0]
-Nc1c(Nc2ccccn2)cnc2[nH]ccc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.999687671661377]
+COc1cc(-c2cnn(C)c2)ccc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
+Nc1c(Nc2ccccn2)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['Nc1ccccn1']; [0.998040497303009]
+Cc1cc(Nc2cnc3[nH]ccc3c2N)ncc1F; ['Cc1cc(N)ncc1F']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9996376633644104]
+Nc1c(Nc2ccc(F)cn2)cnc2[nH]ccc12; ['Nc1c(Br)cnc2[nH]ccc12']; ['Nc1ccc(F)cn1']; [0.9956207275390625]
+CCNC(=O)Cc1ccc(-c2cnc3[nH]ccc3c2N)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1c(Br)cnc2[nH]ccc12']; [0.9811747670173645]
+CN(C)C(=O)c1ccc(-c2cnc3[nH]ccc3c2N)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Nc1c(Br)cnc2[nH]ccc12', 'Nc1c(Br)cnc2[nH]ccc12']; [0.9997215270996094, 0.9934411644935608]
 CS(=O)(=O)c1ccc(Cl)c(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
+Cn1nc(-c2cnc3[nH]ccc3c2N)cc1C(C)(C)O; [None]; [None]; [0]
+CCOc1ccc(-c2c(N)nn3cccnc23)cc1; ['CCOc1ccc(I)cc1']; ['Nc1cc2ncccn2n1']; [0.9929837584495544]
+CC(=O)N(C)c1ccc(-c2c(N)nn3cccnc23)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1cc2ncccn2n1']; [0.9567153453826904]
+CS(=O)(=O)c1cccc(-c2c(N)nn3cccnc23)c1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ncc2ccccc2n1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cnc3[nH]ccc3c2N)c1; [None]; [None]; [0]
+COc1cc(-c2c(N)nn3cccnc23)cc(OC)c1OC; ['COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.9893873929977417, 0.9846267700195312]
 Cc1ccc(C(=O)NCCO)cc1-c1cnc2[nH]ccc2c1N; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-CCOc1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ncc2ccccc2n1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
 COc1ncccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2c(N)nn3cccnc23)c1; [None]; [None]; [0]
-COc1cc(-c2c(N)nn3cccnc23)cc(OC)c1OC; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
 Cc1ccc2ncn(-c3c(N)nn4cccnc34)c2c1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1cnc2cccnn12; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1cccc(O)c1; [None]; [None]; [0]
-COc1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1cccc(O)c1; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; ['Oc1cccc(I)c1', 'Oc1cccc(Br)c1']; [0.9969581365585327, 0.7890575528144836]
+COc1ccc(-c2c(N)nn3cccnc23)cc1; ['COc1ccc(I)cc1', 'COc1ccc(Br)cc1']; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.995648980140686, 0.7611139416694641]
+N#Cc1ccc(O)c(-c2c(N)nn3cccnc23)c1; ['N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1']; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.9781800508499146, 0.9512602090835571]
+Nc1nn2cccnc2c1-c1nc2ccccc2[nH]1; ['Nc1ccccc1N']; ['Nc1nn2cccnc2c1C(=O)O']; [0.9997602701187134]
+Cc1cc(Nc2c(N)nn3cccnc23)sn1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; ['NC(=O)c1ccc(Br)cc1']; ['Nc1cc2ncccn2n1']; [0.9417483806610107]
 Nc1nn2cccnc2c1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3c(N)nn4cccnc34)cc2)CC1; [None]; [None]; [0]
-Cc1cc(Nc2c(N)nn3cccnc23)sn1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-n1ncc2ccccc2c1=O; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2c(N)nn3cccnc23)cn1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1nccc2ccccc12; [None]; [None]; [0]
 Nc1nn2cccnc2c1Nc1ncccn1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3c(N)nn4cccnc34)cn2)c1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-Nc1nn2cccnc2c1Cc1nccc2ccccc12; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ccc(OCCO)cc1; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccc(OCCO)cc1; [None]; [None]; [0]
 Nc1nn2cccnc2c1Nc1ccncn1; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccc(C(F)(F)F)cc1; ['FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1']; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.9995824098587036, 0.9793911576271057]
 CNS(=O)(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-Nc1nn2cccnc2c1Cc1ccccc1O; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
+CN(C)c1ccc(-c2c(N)nn3cccnc23)cc1; ['CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(Cl)cc1']; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.9997266530990601, 0.9943345189094543, 0.9853348731994629]
 Cc1nc(C)c(-c2c(N)nn3cccnc23)s1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; ['CN(C)S(=O)(=O)c1ccc(I)cc1']; ['Nc1cc2ncccn2n1']; [0.9976599216461182]
+Nc1nn2cccnc2c1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccc(Br)cc1; ['Brc1ccc(I)cc1']; ['Nc1cc2ncccn2n1']; [0.9991282224655151]
 CS(=O)(=O)N1CCC(c2c(N)nn3cccnc23)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2c(N)nn3cccnc23)cn1; [None]; [None]; [0]
-Nc1nn2cccnc2c1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
+CN(C)c1ccc(-c2c(N)nn3cccnc23)cc1Cl; ['CN(C)c1ccc(Br)cc1Cl']; ['Nc1cc2ncccn2n1']; [0.9171321988105774]
 CC(C)c1cc(-c2c(N)nn3cccnc23)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3c(N)nn4cccnc34)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2c(N)nn3cccnc23)nc1; [None]; [None]; [0]
+Nc1nn2cccnc2c1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ccc(Br)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2c(N)nn3cccnc23)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
-COc1cc(OC)c(-c2c(N)nn3cccnc23)cc1Cl; [None]; [None]; [0]
+CCCOc1ccc(-c2c(N)nn3cccnc23)nc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3c(N)nn4cccnc34)c2)CC1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1c(N)nn2cccnc12; ['COc1ccc(Cl)cc1B(O)O']; ['Nc1cc2ncccn2n1']; [0.9994862079620361]
+Nc1nn2cccnc2c1-c1ccccc1-n1cccn1; ['Brc1ccccc1-n1cccn1']; ['Nc1cc2ncccn2n1']; [0.9997230768203735]
+CNS(=O)(=O)c1ccc(-c2c(N)nn3cccnc23)c(C)c1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1c[nH]c2ccccc12; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3c(N)nn4cccnc34)[nH]c2c1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1cc2ccccc2cn1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccn2nccc2n1; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2c(N)nn3cccnc23)c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
-COc1cc(-c2c(N)nn3cccnc23)ccc1O; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccc2c(c1)CCO2; ['Nc1cc2ncccn2n1', 'Ic1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2']; ['OB(O)c1ccc2c(c1)CCO2', 'Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.9989986419677734, 0.9887534379959106, 0.9641165733337402]
+CC(C)c1ccc2nc(-c3c(N)nn4cccnc34)[nH]c2c1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1cccc2c1OCO2; [None]; [None]; [0]
+COc1cc(-c2c(N)nn3cccnc23)ccc1O; ['COc1cc(I)ccc1O']; ['Nc1cc2ncccn2n1']; [0.9069381356239319]
 Nc1nn2cccnc2c1-c1scc2c1OCCO2; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+COc1cc(OC)c(-c2c(N)nn3cccnc23)cc1Cl; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2c(N)nn3cccnc23)cc1; ['CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.9995462894439697, 0.9874072670936584]
 Nc1nn2cccnc2c1-c1cnc2ccccc2c1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2c(N)nn3cccnc23)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2c(N)nn3cccnc23)cn1; ['CC(C)(C)c1ccc(Br)cn1']; ['Nc1cc2ncccn2n1']; [0.9723737239837646]
 CN(C)C(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2c(N)nn3cccnc23)cn1; [None]; [None]; [0]
-Nc1nn2cccnc2c1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2c(N)nn3cccnc23)CC1; [None]; [None]; [0]
+Nc1nc(-c2c(N)nn3cccnc23)cs1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CSc1ccc(-c2c(N)nn3cccnc23)cc1; ['CSc1ccc(I)cc1']; ['Nc1cc2ncccn2n1']; [0.9795405864715576]
 CC1(COc2c(N)nn3cccnc23)COC1; [None]; [None]; [0]
-COc1cccc(C(=O)Nc2c(N)nn3cccnc23)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3c(N)nn4cccnc34)cc2)CC1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1cc2ccccc2s1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2c(N)nn3cccnc23)CC1; [None]; [None]; [0]
 Cc1cc(-c2c(N)nn3cccnc23)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2c(N)nn3cccnc23)c1; [None]; [None]; [0]
-Nc1nn2cccnc2c1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1ccc(F)cc1Cl; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3c(N)nn4cccnc34)cc2)CC1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1ncc(Br)cn1; [None]; [None]; [0]
-COc1ccc(-c2c(N)nn3cccnc23)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-COc1ccc(CNc2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+CCc1ccc(-c2c(N)nn3cccnc23)cc1; ['CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1']; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.9986586570739746, 0.9526817798614502]
+Nc1nn2cccnc2c1-c1ccc2c(c1)CCC(=O)N2; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; ['O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.985201895236969, 0.8238023519515991]
+COc1ccc(-c2c(N)nn3cccnc23)cc1OC; ['COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC']; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.9779404401779175, 0.8190481662750244]
 Nc1nn2cccnc2c1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
-Nc1nn2cccnc2c1CCCn1cncn1; [None]; [None]; [0]
-Nc1nn2cccnc2c1NC1CN(C(=O)C2CC2)C1; [None]; [None]; [0]
-COc1cc(-c2c(N)nn3cccnc23)ccc1N1CCOCC1; [None]; [None]; [0]
+COc1ccc(CNc2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1ncc2cccn2n1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1cc2ccccn2n1; [None]; [None]; [0]
-Cn1cc(-c2c(N)nn3cccnc23)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3c(N)nn4cccnc34)ccc2O1; [None]; [None]; [0]
 COc1ccc2cccc(-c3c(N)nn4cccnc34)c2c1; [None]; [None]; [0]
+Cn1cc(-c2c(N)nn3cccnc23)c(C(F)(F)F)n1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
 COc1cc(F)c(-c2c(N)nn3cccnc23)cc1OC; [None]; [None]; [0]
-COc1cc(-c2c(N)nn3cccnc23)ccc1Cl; [None]; [None]; [0]
+Nc1nn2cccnc2c1NC1CN(C(=O)C2CC2)C1; [None]; [None]; [0]
+COc1cc(-c2c(N)nn3cccnc23)ccc1N1CCOCC1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3c(N)nn4cccnc34)ccc2O1; [None]; [None]; [0]
+COc1cc(-c2c(N)nn3cccnc23)ccc1Cl; ['COc1cc(I)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.996701717376709, 0.9454770088195801]
 Nc1nn2cccnc2c1-c1ncc(Cl)cn1; [None]; [None]; [0]
-Cc1csc2c(-c3c(N)nn4cccnc34)ncnc12; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1cnn(CCO)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
 Cc1nc(Nc2c(N)nn3cccnc23)sc1C; [None]; [None]; [0]
+COc1cc(-c2c(N)nn3cccnc23)c(OC)cc1Br; [None]; [None]; [0]
 Nc1cc(-c2c(N)nn3cccnc23)c2cc[nH]c2n1; [None]; [None]; [0]
+Cc1csc2c(-c3c(N)nn4cccnc34)ncnc12; [None]; [None]; [0]
 Cc1cc(Nc2c(N)nn3cccnc23)nn1C; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2c(N)nn3cccnc23)c1; [None]; [None]; [0]
-COc1cc(-c2c(N)nn3cccnc23)c(OC)cc1Br; [None]; [None]; [0]
+Nc1nn2cccnc2c1NC(=O)c1ccco1; [None]; [None]; [0]
 NC(=O)c1ccc(Cc2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2c(N)nn3cccnc23)nc1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2c(N)nn3cccnc23)c1; ['COc1cc(I)cc(OC)c1']; ['Nc1cc2ncccn2n1']; [0.8876252174377441]
 COc1cc(CS(C)(=O)=O)ccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
 Nc1nn2cccnc2c1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
-Nc1nn2cccnc2c1NC(=O)c1ccco1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2c(N)nn3cccnc23)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2c(N)nn3cccnc23)CC1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1cccc(C(=O)Nc2cn[nH]c2)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2c(N)nn3cccnc23)c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2c(N)nn3cccnc23)CC1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+CCn1cc(-c2c(N)nn3cccnc23)cn1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1c(N)nn3cccnc13)cn2C; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
 COc1ccc2oc(-c3c(N)nn4cccnc34)cc2c1; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(C(=O)Nc2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-CCn1cc(-c2c(N)nn3cccnc23)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2c(N)nn3cccnc23)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1c(N)nn2cccnc12; ['CC(C)c1nn(C)cc1Br']; ['Nc1cc2ncccn2n1']; [0.9992018938064575]
 Nc1nn2cccnc2c1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ncc2sccc2n1; [None]; [None]; [0]
+COc1ccc2nc(-c3c(N)nn4cccnc34)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Nc1nn2cccnc2c1C(=O)O']; [0.9999316930770874]
+CNC(=O)c1ccc(OC)c(-c2c(N)nn3cccnc23)c1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2c(N)nn3cccnc23)c1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1cc2ccccc2o1; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ncc2sccc2n1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ccc(OC(F)(F)F)cc1; ['FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccc(Br)cc1']; ['Nc1cc2ncccn2n1', 'Nc1cc2ncccn2n1']; [0.9999676942825317, 0.9990167617797852]
 Nc1nn2cccnc2c1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
-COc1ccc2nc(-c3c(N)nn4cccnc34)[nH]c2c1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2c(N)nn3cccnc23)c1; [None]; [None]; [0]
 Cn1cc(-c2c(N)nn3cccnc23)c2ccccc21; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3c(N)nn4cccnc34)[nH]c2c1; [None]; [None]; [0]
-CCc1cccc(-c2c(N)nn3cccnc23)n1; [None]; [None]; [0]
-Nc1nn2cccnc2c1-c1ncn2c1CCCC2; [None]; [None]; [0]
+CN(C)c1ccc(-c2c(N)nn3cccnc23)cn1; ['CN(C)c1ccc(Br)cn1']; ['Nc1cc2ncccn2n1']; [0.9751647710800171]
 Cc1cc(-c2c(N)nn3cccnc23)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1ncc2cc(-c3c(N)nn4cccnc34)ccc21; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3c(N)nn4cccnc34)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(-c2c(N)nn3cccnc23)cn1; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3c(N)nn4cccnc34)ccc12; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3c(N)nn4cccnc34)ccc21; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3c(N)nn4cccnc34)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2c(N)nn3cccnc23)n1; [None]; [None]; [0]
+Nc1nn2cccnc2c1-c1ncn2c1CCCC2; [None]; [None]; [0]
+Nc1nn2cccnc2c1NC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3c(N)nn4cccnc34)cn2)CC1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
 Nc1nn2cccnc2c1-c1ccc(CCO)cc1; [None]; [None]; [0]
-Nc1nn2cccnc2c1NC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2c(N)nn3cccnc23)c(Cl)c1; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3c(N)nn4cccnc34)cc2)n1C; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2c(N)nn3cccnc23)c(OC)c1; [None]; [None]; [0]
-Cn1nc(-c2c(N)nn3cccnc23)cc1C(C)(C)O; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
 Nc1nn2cccnc2c1Nc1ccc(F)cn1; [None]; [None]; [0]
 Cc1cc(Nc2c(N)nn3cccnc23)ncc1F; [None]; [None]; [0]
+Cn1nc(-c2c(N)nn3cccnc23)cc1C(C)(C)O; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2c(N)nn3cccnc23)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2c(N)nn3cccnc23)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1cc2ncccn2n1']; [0.998355507850647]
 Nc1nn2cccnc2c1Nc1ccccn1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2c(N)nn3cccnc23)c1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2c(N)nn3cccnc23)cc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1nccc2sc(Br)cc12']; [0.9988237619400024]
+CCOc1ccc(-c2cc3c(N)nccc3s2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999995231628418, 0.9999876022338867]
+COc1ncccc1-c1cc2c(N)nccc2s1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999963045120239, 0.9999747276306152]
 CNC(=O)c1ccc(C)c(-c2c(N)nn3cccnc23)c1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cc3c(N)nccc3s2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999994039535522, 0.9999562501907349]
+COc1cc(-c2cc3c(N)nccc3s2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999994039535522, 0.9999891519546509]
+Nc1nccc2sc(-c3cnc4cccnn34)cc12; ['Nc1nccc2sc(Br)cc12']; ['c1cnn2ccnc2c1']; [0.9999179244041443]
 Cc1ccc(C(=O)NCCO)cc1-c1c(N)nn2cccnc12; [None]; [None]; [0]
-CCOc1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
 Nc1nccc2sc(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc(O)c3)cc12; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1cccc(O)c1']; [0.9999872446060181, 0.9999470710754395]
 Cc1nc(C(C)(C)O)sc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-COc1ncccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
-COc1cc(-c2cc3c(N)nccc3s2)cc(OC)c1OC; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(N4CCOCC4)cc3)cc12; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1nccc2sc(Br)cc12', 'Brc1ccc(N2CCOCC2)cc1']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1nccc2sc(Br)cc12']; [1.0, 0.9999996423721313, 0.9999963641166687]
 Cc1ccc2ncn(-c3cc4c(N)nccc4s3)c2c1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
-COc1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc(O)c3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
+COc1ccc(-c2cc3c(N)nccc3s2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999995827674866, 0.9999791979789734]
 Nc1nccc2sc(-c3cccc(NC(=O)C4CC4)c3)cc12; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(C(=O)[O-])cc3)cc12; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999996423721313, 0.9999605417251587]
 Nc1nccc2sc(-c3nc4ccccc4[nH]3)cc12; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc4c(N)nccc4s3)cc2)CC1; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(C(=O)Nc4ccccc4)cc3)cc12; ['Nc1nccc2sc(Br)cc12']; ['O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [0.9999815225601196]
 Cc1cc(Nc2cc3c(N)nccc3s2)sn1; [None]; [None]; [0]
-Nc1nccc2sc(-n3ncc4ccccc4c3=O)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(C(=O)[O-])cc3)cc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc3c(N)nccc3s2)cn1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cc3c(N)nccc3s2)cc1; ['CC(=O)NCc1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12']; [0.9999464154243469]
 Nc1nccc2sc(Nc3ncccn3)cc12; [None]; [None]; [0]
-NC(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cc4c(N)nccc4s3)cn2)c1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(C(=O)Nc4ccccc4)cc3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(Cc3nccc4ccccc34)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3nccc4ccccc34)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(C(=O)N4CCOCC4)cc3)cc12; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1']; [1.0, 0.999999463558197]
 Nc1nccc2sc(-c3ccc(OCCO)cc3)cc12; [None]; [None]; [0]
-CC(=O)NCc1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
 Nc1nccc2sc(-c3cccc(C4CCNCC4)c3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(C(=O)N4CCOCC4)cc3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(C(=O)N4CCOCC4)cn3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(Nc3ccncn3)cc12; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1nccc2sc(Br)cc12']; [0.9999997615814209]
 C[C@@H](O)COc1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(C(=O)N4CCOCC4)cn3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(C(F)(F)F)cc3)cc12; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1ccc(C(F)(F)F)cc1']; [1.0, 0.9999969005584717]
 Nc1nccc2sc(-c3ccc4c(c3)CS(=O)(=O)C4)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(C(F)(F)F)cc3)cc12; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-Nc1nccc2sc(Cc3ccccc3O)cc12; [None]; [None]; [0]
+Nc1nccc2sc(Nc3ccncn3)cc12; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999997615814209, 0.999981164932251]
+CN(C)S(=O)(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999997615814209, 0.999951958656311]
 Cc1nc(C)c(-c2cc3c(N)nccc3s2)s1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2cc3c(N)nccc3s2)CC1; [None]; [None]; [0]
-Nc1nccc2sc([C@H]3CCN(C(=O)c4ccccc4)C3)cc12; [None]; [None]; [0]
-CC(C)c1cc(-c2cc3c(N)nccc3s2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(Cc2cc3c(N)nccc3s2)cn1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3cc4c(N)nccc4s3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cc3c(N)nccc3s2)nc1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(Br)cc3)cc12; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3cc4c(N)nccc4s3)c2)CC1; [None]; [None]; [0]
+Nc1nccc2sc([C@H]3CCN(C(=O)c4ccccc4)C3)cc12; [None]; [None]; [0]
+CC(C)c1cc(-c2cc3c(N)nccc3s2)nc(N)n1; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(Br)cc3)cc12; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1ccc(Br)cc1']; [0.9999966621398926, 0.9996953010559082]
+CN(C)c1ccc(-c2cc3c(N)nccc3s2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl']; ['Nc1nccc2sc(Br)cc12']; [0.9999656677246094]
+CCN(CC)C(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999996423721313, 0.9999217391014099, 0.9879897236824036]
 Cc1c(C(=O)[O-])cccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3c(N)nccc3s2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-Nc1nccc2sc(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
-COc1ccc(Cl)cc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc2c(N)nccc2s1; ['COc1ccc(Cl)cc1B(O)O']; ['Nc1nccc2sc(Br)cc12']; [0.9999945163726807]
+Nc1nccc2sc(-c3c[nH]c4ccccc34)cc12; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1c[nH]c2ccccc12']; [0.9999900460243225, 0.9992296695709229]
+Nc1nccc2sc(-c3ccccc3-n3cccn3)cc12; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1ccccc1-n1cccn1']; [0.9999992847442627, 0.9999940395355225]
+Nc1nccc2sc(-c3ccn4nccc4n3)cc12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc3c(N)nccc3s2)c1; ['CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1nccc2sc(Br)cc12']; [0.9998583793640137]
+CNS(=O)(=O)c1ccc(-c2cc3c(N)nccc3s2)c(C)c1; [None]; [None]; [0]
 COc1cc(OC)c(-c2cc3c(N)nccc3s2)cc1Cl; [None]; [None]; [0]
 Nc1nccc2sc(-c3ccc4c(c3)CCO4)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc4c3OCO4)cc12; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C']; ['Nc1nccc2sc(Br)cc12']; [0.9999997615814209]
 CC(C)c1ccc2nc(-c3cc4c(N)nccc4s3)[nH]c2c1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cc4ccccc4cn3)cc12; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cc(-c4ccccc4)[nH]n3)cc12; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(-c3cc(-c4ccccc4)[nH]n3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3cnc4ccccc4c3)cc12; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1cnc2ccccc2c1']; [0.9999951124191284, 0.9997065663337708]
+CC(C)(C)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [1.0, 0.9999938011169434]
+CN(C)C(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [1.0, 0.9999771118164062]
+CC(C)(C)c1ccc(-c2cc3c(N)nccc3s2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999996423721313, 0.9999759197235107]
 COc1cc(-c2cc3c(N)nccc3s2)ccc1O; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc4c3OCO4)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3scc4c3OCCO4)cc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cnc4ccccc4c3)cc12; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3c(N)nccc3s2)cn1; [None]; [None]; [0]
-Nc1nccc2sc(Cc3nc4c(F)c(F)ccc4[nH]3)cc12; [None]; [None]; [0]
+CSc1ccc(-c2cc3c(N)nccc3s2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999991655349731, 0.9999364614486694]
 CC(=O)N[C@@H]1CC[C@@H](c2cc3c(N)nccc3s2)CC1; [None]; [None]; [0]
-CC1(COc2cc3c(N)nccc3s2)COC1; [None]; [None]; [0]
+Nc1nc(-c2cc3c(N)nccc3s2)cs1; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccn(-c4cccc(Cl)c4)n3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3scc4c3OCCO4)cc12; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
+CC1(COc2cc3c(N)nccc3s2)COC1; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc4c(c3)CCC(=O)N4)cc12; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C']; ['Nc1nccc2sc(Br)cc12']; [0.999954879283905]
+Nc1nccc2sc(-c3ccc(F)cc3Cl)cc12; ['Nc1nccc2sc(Br)cc12']; ['OB(O)c1ccc(F)cc1Cl']; [0.9999984502792358]
+Nc1nccc2sc(-c3cc4ccccc4s3)cc12; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3cc4c(N)nccc4s3)cc2)CC1; [None]; [None]; [0]
+COc1ccc(-c2cc3c(N)nccc3s2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999970197677612, 0.9999432563781738]
+CCc1ccc(-c2cc3c(N)nccc3s2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.999998152256012, 0.9998366832733154]
 Cc1cc(-c2cc3c(N)nccc3s2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
-Nc1nccc2sc([C@H](CO)Cc3ccccc3)cc12; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
+COc1cc(-c2cc3c(N)nccc3s2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1']; ['Nc1nccc2sc(Br)cc12']; [0.9999994039535522]
+Nc1nccc2sc(-c3ccc(Cl)cc3Cl)cc12; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1ccc(Cl)cc1Cl']; [1.0, 0.9999983310699463]
 Nc1nccc2sc(-c3ncc(Br)cn3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(F)cc3Cl)cc12; [None]; [None]; [0]
-COc1ccc(-c2cc3c(N)nccc3s2)cc1OC; [None]; [None]; [0]
-CCc1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-COc1ccc(CNc2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(Cl)cc3Cl)cc12; [None]; [None]; [0]
-Nc1nccc2sc(CCCn3cncn3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(NC3CN(C(=O)C4CC4)C3)cc12; [None]; [None]; [0]
+Cn1cc(-c2cc3c(N)nccc3s2)c(C(F)(F)F)n1; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [1.0, 0.9999986290931702]
+CC1(C)Cc2cc(-c3cc4c(N)nccc4s3)ccc2O1; [None]; [None]; [0]
 Nc1nccc2sc(-c3ncc4cccn4n3)cc12; [None]; [None]; [0]
-COc1cc(-c2cc3c(N)nccc3s2)ccc1N1CCOCC1; [None]; [None]; [0]
+Nc1nccc2sc(NC3CN(C(=O)C4CC4)C3)cc12; [None]; [None]; [0]
+COc1ccc(CNc2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
 Nc1nccc2sc(-c3cc4ccccn4n3)cc12; [None]; [None]; [0]
-Cn1cc(-c2cc3c(N)nccc3s2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(-c3cc4c(N)nccc4s3)ccc2O1; [None]; [None]; [0]
+COc1cc(F)c(-c2cc3c(N)nccc3s2)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999998807907104, 0.9999973177909851]
+Nc1nccc2sc(-c3cnn(CCO)c3)cc12; [None]; [None]; [0]
 COc1ccc2cccc(-c3cc4c(N)nccc4s3)c2c1; [None]; [None]; [0]
 Nc1nccc2sc(-c3cccc4ccc(O)cc34)cc12; [None]; [None]; [0]
-COc1cc(F)c(-c2cc3c(N)nccc3s2)cc1OC; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [1.0, 0.9999805688858032]
 COc1cc(-c2cc3c(N)nccc3s2)ccc1Cl; [None]; [None]; [0]
-Nc1nccc2sc(-c3ncc(Cl)cn3)cc12; [None]; [None]; [0]
 Cc1csc2c(-c3cc4c(N)nccc4s3)ncnc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3ncc(Cl)cn3)cc12; [None]; [None]; [0]
 Cc1nc(Nc2cc3c(N)nccc3s2)sc1C; [None]; [None]; [0]
 Cc1cc(Nc2cc3c(N)nccc3s2)nn1C; [None]; [None]; [0]
+COc1cc(-c2cc3c(N)nccc3s2)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br']; ['Nc1nccc2sc(Br)cc12']; [0.9996261596679688]
 Nc1cc(-c2cc3c(N)nccc3s2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(-c2cc3c(N)nccc3s2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3c(N)nccc3s2)nc1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-NC(=O)c1ccc(Cc2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
 Nc1nccc2sc(Cc3ccc(S(=O)(=O)CCO)cc3)cc12; [None]; [None]; [0]
 Nc1nccc2sc(NC(=O)c3ccco3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cc12; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2cc3c(N)nccc3s2)CC1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2cc3c(N)nccc3s2)CC1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc4cn[nH]c4c3)cc12; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['Nc1nccc2sc(Br)cc12']; [0.9999985098838806]
+CCn1cc(-c2cc3c(N)nccc3s2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [1.0, 0.9998722076416016]
 COc1cc(OC)cc(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc3c(N)nccc3s1)cn2C; [None]; [None]; [0]
 COc1ccc2oc(-c3cc4c(N)nccc4s3)cc2c1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc4cn[nH]c4c3)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(C(=O)Nc2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-CCn1cc(-c2cc3c(N)nccc3s2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cc(-c4cccnc4)ccn3)cc12; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cc2c(N)nccc2s1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1nccc2sc(Br)cc12']; [0.9999986886978149]
 Nc1nccc2sc(-c3cc4ccccc4o3)cc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(OC(F)(F)F)cc3)cc12; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [1.0, 1.0]
 Cn1cc(Br)cc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ncc4sccc4n3)cc12; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
+Nc1nccc2sc(-c3cc(-c4cccnc4)ccn3)cc12; [None]; [None]; [0]
 Nc1nccc2sc(-c3cccc(NC(=O)N4CCCC4)c3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3ncc4sccc4n3)cc12; [None]; [None]; [0]
 COc1ccc2nc(-c3cc4c(N)nccc4s3)[nH]c2c1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(OC(F)(F)F)cc3)cc12; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc4c(N)nccc4s3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [1.0, 0.9999997615814209]
+Cn1cc(-c2cc3c(N)nccc3s2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1nccc2sc(Br)cc12']; [0.9999971389770508]
 COc1ccc(F)c(C(=O)Nc2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
-Cn1cc(-c2cc3c(N)nccc3s2)c2ccccc21; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cc4c(N)nccc4s3)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(-c2cc3c(N)nccc3s2)n1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ncn4c3CCCC4)cc12; [None]; [None]; [0]
 Cc1cc(-c2cc3c(N)nccc3s2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc4c(N)nccc4s3)ccc21; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3cc4c(N)nccc4s3)ccc21; [None]; [None]; [0]
-Cc1n[nH]c2cc(-c3cc4c(N)nccc4s3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cc4c(N)nccc4s3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999994039535522, 0.9999980330467224]
+Nc1nccc2sc(-c3ncn4c3CCCC4)cc12; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc3c(N)nccc3s2)cn1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cc4c(N)nccc4s3)[nH]c2c1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cc4c(N)nccc4s3)ccc21; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc(N4CCCC4=O)c3)cc12; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C']; ['Nc1nccc2sc(Br)cc12']; [0.999995768070221]
 CC(=O)N1CCC(n2cc(-c3cc4c(N)nccc4s3)cn2)CC1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc(N4CCCC4=O)c3)cc12; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3cc4c(N)nccc4s3)cc2)n1C; [None]; [None]; [0]
 Nc1nccc2sc(-c3ccc(CCO)cc3)cc12; [None]; [None]; [0]
 Nc1nccc2sc(NC(=O)c3cccc(OC(F)(F)F)c3)cc12; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cc3c(N)nccc3s2)c(Cl)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cc4c(N)nccc4s3)cc2)n1C; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12']; [0.9999678134918213]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc3c(N)nccc3s2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cc3c(N)nccc3s2)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
 Nc1nccc2sc(Nc3ccc(F)cn3)cc12; [None]; [None]; [0]
 Cc1cc(Nc2cc3c(N)nccc3s2)ncc1F; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc3c(N)nccc3s2)nc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
 Nc1nccc2sc(Nc3ccccn3)cc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-CCOc1ccccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+CCOc1ccccc1-c1cc2c(N)nccc2s1; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999983906745911, 0.9999711513519287]
+CC(C)S(=O)(=O)c1ccccc1-c1cc2c(N)nccc2s1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Nc1nccc2sc(Br)cc12']; [0.9999639391899109]
 CNC(=O)c1ccccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc(C(F)(F)F)c3)cc12; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999994039535522, 0.9999958276748657]
 COC(C)(C)CCc1cc2c(N)nccc2s1; [None]; [None]; [0]
-CC(C)S(=O)(=O)c1ccccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2cc3c(N)nccc3s2)[nH]1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccnc4ccccc34)cc12; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1ccnc2ccccc12']; [0.9999959468841553, 0.9999220371246338]
+Nc1nccc2sc(-c3ccccc3OC(F)(F)F)cc12; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999997615814209, 0.9999963045120239]
+Nc1nccc2sc(-c3ccccc3C(=O)[O-])cc12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc4c(N)nccc4s3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1nccc2sc(Br)cc12']; [0.9992092847824097]
 Nc1nccc2sc(Cc3cc(F)cc(F)c3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3cnn(Cc4ccccc4)c3)cc12; ['Nc1nccc2sc(Br)cc12']; ['OB(O)c1cnn(Cc2ccccc2)c1']; [0.9999908804893494]
+Cc1nnc(-c2ccccc2-c2cc3c(N)nccc3s2)[nH]1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cc2c(N)nccc2s1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999945163726807, 0.9998673796653748]
 CP(C)(=O)c1ccccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccnc4ccccc34)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccccc3Br)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccccc3OC(F)(F)F)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccccc3C(=O)[O-])cc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cnn(Cc4ccccc4)c3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc(NC(=O)c4ccccc4)c3)cc12; ['Nc1nccc2sc(Br)cc12']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999792575836182]
+Nc1nccc2sc(-c3cc(Cl)ccc3Cl)cc12; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999985694885254, 0.9999904632568359]
+Cc1ccc(-c2cc3c(N)nccc3s2)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1']; ['Nc1nccc2sc(Br)cc12']; [0.9971012473106384]
 Nc1nccc2sc(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
-Nc1nccc2sc([C@@H](N)c3ccco3)cc12; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2cc3c(N)nccc3s2)cs1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cnn(CCO)c3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc(NC(=O)c4ccccc4)c3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-n3ncc4cccc(F)c4c3=O)cc12; [None]; [None]; [0]
 COc1cnc(-c2cc3c(N)nccc3s2)nc1; [None]; [None]; [0]
 CC(C)C(=O)COc1cc2c(N)nccc2s1; [None]; [None]; [0]
-Cc1ccc(-c2cc3c(N)nccc3s2)c(Br)c1; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(-n3ncc4cccc(F)c4c3=O)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3c(Cl)cccc3Cl)cc12; ['Nc1nccc2sc(Br)cc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9996120929718018]
 Nc1nccc2sc(-c3cnc4ccccn34)cc12; [None]; [None]; [0]
-CNc1nc(C)c(-c2cc3c(N)nccc3s2)s1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-Nc1nccc2sc(-c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc3c(N)nccc3s2)s1; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc(Br)c3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc4ccccc4c3)cc12; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1ccc2ccccc2c1']; [0.9999923706054688, 0.999840497970581]
 Cc1ccc(Cl)c(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
 Nc1nccc2sc(NCc3cccnc3)cc12; [None]; [None]; [0]
-Cc1c(-c2cc3c(N)nccc3s2)sc(=O)n1C; [None]; [None]; [0]
-Nc1nccc(-c2cc3c(N)nccc3s2)n1; [None]; [None]; [0]
 Nc1nccc2sc(-c3cnn4ncccc34)cc12; [None]; [None]; [0]
-COc1cccc(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc4ccccc4c3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(Nc3cccnc3)cc12; [None]; [None]; [0]
+Nc1nccc(-c2cc3c(N)nccc3s2)n1; [None]; [None]; [0]
+Cc1c(-c2cc3c(N)nccc3s2)sc(=O)n1C; [None]; [None]; [0]
 Nc1nccc2sc(-n3cnc4ccccc43)cc12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(Nc3cccnc3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(NC(=O)c3cccs3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3c[nH]nc3C(F)(F)F)cc12; [None]; [None]; [0]
 Nc1nccc2sc(NCCc3c[nH]cn3)cc12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc3c(N)nccc3s2)o1; [None]; [None]; [0]
+Nc1nccc2sc(-c3cncc4ccccc34)cc12; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1cncc2ccccc12']; [1.0, 0.9999578595161438]
 Nc1nccc2sc(-c3cccc(CC(=O)[O-])c3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(NC(=O)c3cccs3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3cncc4ccccc34)cc12; [None]; [None]; [0]
-Nc1nccc2sc(NCCc3ccccc3)cc12; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cc4c(N)nccc4s3)cc2)cn1; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(-c4cn[nH]c4)cc3)cc12; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [1.0, 0.9999960660934448]
 Nc1[nH]nc2cc(-c3cc4c(N)nccc4s3)ccc12; [None]; [None]; [0]
+Nc1nccc2sc(NCCc3ccccc3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc(CO)c3)cc12; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OCc1cccc(B(O)O)c1']; [0.9999969005584717, 0.999910295009613]
 CN1c2ccc(-c3cc4c(N)nccc4s3)cc2CS1(=O)=O; [None]; [None]; [0]
 CCCn1cnc(-c2cc3c(N)nccc3s2)n1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc(CO)c3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(NCc3ccc(Cl)cc3)cc12; [None]; [None]; [0]
 Nc1nccc2sc(Nc3ccncc3)cc12; [None]; [None]; [0]
 COc1cc(-c2cc3c(N)nccc3s2)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)n1cc(-c2cc3c(N)nccc3s2)nn1; [None]; [None]; [0]
-CSc1nc(-c2cc3c(N)nccc3s2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-Nc1nccc2sc(CCc3c[nH]nn3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(NCc3ccccc3F)cc12; [None]; [None]; [0]
 Nc1nccc2sc(-c3csc4ncncc34)cc12; [None]; [None]; [0]
-N#CCCc1cccc(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
+Nc1nccc2sc(CCc3c[nH]nn3)cc12; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+CSc1nc(-c2cc3c(N)nccc3s2)c[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc3c(N)nccc3s2)c1; ['N#CCCc1cccc(B(O)O)c1']; ['Nc1nccc2sc(Br)cc12']; [0.9999926090240479]
+CCC(=O)Nc1ccc(-c2cc3c(N)nccc3s2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1nccc2sc(Br)cc12']; [0.9999986886978149]
+Nc1ncncc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(F)cc3C(F)(F)F)cc12; ['Nc1nccc2sc(Br)cc12', 'Fc1ccc(Br)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1nccc2sc(Br)cc12']; [0.9999986290931702, 0.9998199343681335]
 CCNc1nc2ccc(-c3cc4c(N)nccc4s3)cc2s1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(F)cc3C(F)(F)F)cc12; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(-c3cc4ccccc4[nH]3)cc12; [None]; [None]; [0]
+COc1ccc(-c2cc3c(N)nccc3s2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.999999463558197, 0.9999951124191284]
+Nc1nccc2sc(Oc3ccccn3)cc12; [None]; [None]; [0]
 CS(=O)(=O)C1CCN(c2cc3c(N)nccc3s2)CC1; [None]; [None]; [0]
-Nc1nccc2sc(NC(=O)c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1cc2c(N)nccc2s1; [None]; [None]; [0]
+NC(=O)CCCc1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(-c3cnn4ccccc34)cc12; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'OB(O)c1cnn2ccccc12']; [0.9999980926513672, 0.9999279975891113]
+CCCn1cc(-c2cc3c(N)nccc3s2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1']; ['Nc1nccc2sc(Br)cc12']; [1.0]
 CC(C)(COc1cc2c(N)nccc2s1)S(C)(=O)=O; [None]; [None]; [0]
-COc1ccc(-c2cc3c(N)nccc3s2)cc1Cl; [None]; [None]; [0]
-Nc1nccc2sc(-c3cnn4ccccc34)cc12; [None]; [None]; [0]
+Nc1nccc2sc(NC(=O)c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc4c3C(=O)CC4)cc12; ['Nc1nccc2sc(Br)cc12']; ['O=C1CCc2cccc(Br)c21']; [0.9983343482017517]
 Nc1nccc2sc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cc12; [None]; [None]; [0]
-CCCn1cc(-c2cc3c(N)nccc3s2)cn1; [None]; [None]; [0]
 Nc1nccc2sc(-c3cc[nH]c(=O)c3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc4c3C(=O)CC4)cc12; [None]; [None]; [0]
-COc1cc(CCc2cc3c(N)nccc3s2)cc(OC)c1; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
 C[C@@H](Oc1cc2c(N)nccc2s1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
+COc1cc(CCc2cc3c(N)nccc3s2)cc(OC)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc3c(N)nccc3s2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1']; ['Nc1nccc2sc(Br)cc12']; [0.9999998807907104]
 CCN(CC)c1cc2c(N)nccc2s1; [None]; [None]; [0]
 Nc1nccc2sc(-c3cc4c(=O)[nH]ccc4o3)cc12; [None]; [None]; [0]
-COc1ccncc1Nc1cc2c(N)nccc2s1; [None]; [None]; [0]
 Nc1nccc2sc(-c3cc4c(=O)[nH]cc(Br)c4s3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3c[nH]c4cnccc34)cc12; ['Nc1nccc2sc(Br)cc12']; ['OB(O)c1c[nH]c2cnccc12']; [0.9998952150344849]
+COc1ccncc1Nc1cc2c(N)nccc2s1; [None]; [None]; [0]
 Nc1nccc2sc(Nc3cnccc3-c3ccccc3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(Nc3cnc4ccccc4c3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3c[nH]c4cnccc34)cc12; [None]; [None]; [0]
 Nc1nccc2sc(-c3cnc4[nH]ccc4c3)cc12; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(Nc3cnc4ccccc4c3)cc12; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-CC1(c2cc3c(N)nccc3s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1nccc2sc(Br)cc12']; [1.0]
+CS(=O)(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999998807907104, 0.999982476234436]
 CN(c1cc2c(N)nccc2s1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(-c2cc3c(N)nccc3s2)cc1; [None]; [None]; [0]
+CC1(c2cc3c(N)nccc3s2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Nc1nccc2sc(-n3ccc(CO)n3)cc12; [None]; [None]; [0]
 Cc1cc(-c2cc3c(N)nccc3s2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cc2c(N)nccc2s1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-Nc1nccc2sc(-n3cnc(CCO)c3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-n3ccc(CO)n3)cc12; [None]; [None]; [0]
 C[C@H](Nc1cc2c(N)nccc2s1)C(C)(C)O; [None]; [None]; [0]
-C[C@@H](Nc1cc2c(N)nccc2s1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(-n3cnc(CCO)c3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3c(F)cccc3Cl)cc12; [None]; [None]; [0]
 Nc1nccc2sc(-n3ncc4ccccc43)cc12; [None]; [None]; [0]
+C[C@@H](Nc1cc2c(N)nccc2s1)C(C)(C)O; [None]; [None]; [0]
 Nc1nccc2sc(-n3ncc4c(O)cccc43)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccnc3O)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3ccc(C(=O)c4ccccc4)cc3)cc12; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1nccc2sc(Br)cc12']; ['Nc1nccc2sc(Br)cc12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1']; [0.9999995231628418, 0.9999853372573853]
 Nc1nccc2sc(-c3nc4ccc(O)cc4[nH]3)cc12; [None]; [None]; [0]
 CSc1nc(C)c(-c2cc3c(N)nccc3s2)[nH]1; [None]; [None]; [0]
 COc1ccc(-c2cc3c(N)nccc3s2)c(OC)c1; [None]; [None]; [0]
-Nc1nccc2sc(-c3ccc(C(=O)c4ccccc4)cc3)cc12; [None]; [None]; [0]
-CC(C)n1cnnc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
 Nc1nccc2sc(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
 Nc1nccc2sc(Cc3nnc4ccc(-c5ccccc5)nn34)cc12; [None]; [None]; [0]
 Nc1nccc2sc(-c3ccn(CC[NH3+])n3)cc12; [None]; [None]; [0]
 Nc1nccc2sc(CCC(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
 Nc1nccc2sc(CS(=O)(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
 Nc1nccc2sc(-c3cn(Cc4ccccc4)nn3)cc12; [None]; [None]; [0]
-CCc1cc(-c2cc3c(N)nccc3s2)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2cc3c(N)nccc3s2)nc(N)n1; [None]; [None]; [0]
-Nc1nnc(-c2cc3c(N)nccc3s2)s1; [None]; [None]; [0]
-Nc1ncc(-c2cc3c(N)nccc3s2)s1; [None]; [None]; [0]
+CCc1cc(-c2cc3c(N)nccc3s2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nnc(-c2cc3c(N)nccc3s2)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc3c(N)nccc3s2)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc3c(N)nccc3s2)s1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4c(N)nccc4s3)c2)cc1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc3c(N)nccc3s2)CC1; [None]; [None]; [0]
 Nc1nccc2sc(Oc3ccc(C[NH3+])cc3F)cc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc4ccsc34)cc12; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C']; ['Nc1nccc2sc(Br)cc12']; [1.0]
 Nc1nccc2sc(-c3nc4ccccc4s3)cc12; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cc4c(N)nccc4s3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4c(N)nccc4s3)c2)cc1; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc4ccsc34)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3c[nH]c4cccnc34)cc12; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Nc1nccc2sc(Br)cc12']; [0.9999966621398926]
 Nc1nccc2sc(-c3cccc4nnsc34)cc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2cc3c(N)nccc3s2)[nH]1; [None]; [None]; [0]
+Nc1cncc(-c2cc3c(N)nccc3s2)n1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cc4c(N)nccc4s3)nc2NC1=O; [None]; [None]; [0]
 Nc1nc(-c2cc3c(N)nccc3s2)nc2ccccc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3c[nH]c4cccnc34)cc12; [None]; [None]; [0]
+Nc1nccc2sc(-c3cn(CCO)cn3)cc12; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc2c(N)nccc2s1; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999998211860657, 0.9999997019767761]
+CC(=O)Nc1ncc(-c2cc3c(N)nccc3s2)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc3c(N)nccc3s2)c1; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.999997615814209, 0.9999954104423523]
 Nc1nccc2sc(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1cc2c(N)nccc2s1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc2c(N)nccc2s1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc3c(N)nccc3s2)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1nccc2sc(Br)cc12', 'Nc1nccc2sc(Br)cc12']; [0.9999990463256836, 0.9999116063117981]
 COc1ccc(Oc2cc3c(N)nccc3s2)c(F)c1F; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2cc3c(N)nccc3s2)CC1; [None]; [None]; [0]
-COc1ccc(OC)c(-c2cc3c(N)nccc3s2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc3c(N)nccc3s2)n1; [None]; [None]; [0]
-CN(C)c1cc(-c2cc3c(N)nccc3s2)cnn1; [None]; [None]; [0]
+Nc1nccc2sc(-c3cccc(NC(=O)C4CCNCC4)c3)cc12; [None]; [None]; [0]
+CCOc1ccc(-c2cccn3nc(N)nc23)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(I)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999985694885254, 0.999994158744812, 0.9998172521591187, 0.9997774362564087, 0.999139666557312, 0.9640305042266846]
+Nc1nc2c(-c3ncc4ccccc4n3)cccn2n1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cccn3nc(N)nc23)c1; ['CS(=O)(=O)c1cccc(B(O)O)c1']; ['Nc1nc2c(Br)cccn2n1']; [0.999997615814209]
+COc1ncccc1-c1cccn2nc(N)nc12; ['COc1ncccc1B(O)O']; ['Nc1nc2c(Br)cccn2n1']; [0.9997004270553589]
+COc1cc(-c2cccn3nc(N)nc23)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999499320983887, 0.9998675584793091]
+CC(=O)N(C)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999978542327881, 0.9999847412109375, 0.9999796152114868, 0.9968775510787964]
 Nc1nccc2sc(N3CCC(c4nc5ccccc5[nH]4)CC3)cc12; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cccn2nc(N)nc12; ['Cc1csc(C(C)(C)O)n1', 'Cc1csc(C(C)(C)O)n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9861658811569214, 0.9646250009536743]
+Nc1nc2c(-c3cnc4cccnn34)cccn2n1; ['Nc1nc2c(Br)cccn2n1']; ['c1cnn2ccnc2c1']; [0.9999969601631165]
 Nc1nccc2sc(N3CC=C(c4c[nH]c5ccccc45)CC3)cc12; [None]; [None]; [0]
-Nc1nccc2sc(-c3cccc(NC(=O)C4CCNCC4)c3)cc12; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+COc1ccc(-c2cccn3nc(N)nc23)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999985694885254, 0.9998860359191895]
+Cc1ccc2ncn(-c3cccn4nc(N)nc34)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9272060394287109, 0.8492285013198853, 0.8326903581619263]
+CN(C)c1cc(-c2cc3c(N)nccc3s2)cnn1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cccn3nc(N)nc23)c1; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(I)c1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9993909597396851, 0.9990984201431274, 0.9961987733840942, 0.9498202800750732]
+Nc1nc2c(-c3cccc(O)c3)cccn2n1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2ccccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1']; [0.9999876022338867, 0.9999276995658875, 0.9998902678489685, 0.9998703002929688, 0.9976224303245544, 0.9661824703216553]
+Nc1nc2c(-c3ccc(C(=O)[O-])cc3)cccn2n1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(I)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999935626983643, 0.9999879002571106, 0.9998670220375061, 0.9997538328170776, 0.9997461438179016, 0.9982924461364746, 0.9406707882881165]
+Nc1nc2c(-c3ccc(N4CCOCC4)cc3)cccn2n1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Nc1nc2c(Cl)cccn2n1', 'Brc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1nc2c(I)cccn2n1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999995231628418, 0.9999992847442627, 0.9999957084655762, 0.9999890327453613, 0.9999823570251465, 0.9998998045921326, 0.9998579025268555, 0.9882271885871887, 0.9867240190505981]
+Nc1nc2c(Nc3ncccn3)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; ['Nc1ncccn1', 'Nc1ncccn1']; [0.9972365498542786, 0.9941949844360352]
+Nc1nc2c(-c3nc4ccccc4[nH]3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3nccc4ccccc34)cccn2n1; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; ['c1ccc2cnccc2c1', 'c1ccc2cnccc2c1']; [0.9429892897605896, 0.9002519845962524]
+Nc1nc2c(-c3cccc(NC(=O)C4CC4)c3)cccn2n1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cccn4nc(N)nc34)cc2)CC1; [None]; [None]; [0]
+Nc1nc2c(-c3ccc(C(=O)Nc4ccccc4)cc3)cccn2n1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'Nc1nc2c(Cl)cccn2n1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9999947547912598, 0.9999923706054688, 0.9998338222503662, 0.9997122287750244, 0.9996325969696045, 0.9962753057479858, 0.9954999685287476]
+Nc1nc2c(-c3cccc(C4CCNCC4)c3)cccn2n1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cccn4nc(N)nc34)cn2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cccn3nc(N)nc23)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999977350234985, 0.9998137950897217, 0.9991858005523682, 0.9989801645278931, 0.8774234056472778]
+Nc1nc2c(-c3ccc(OCCO)cc3)cccn2n1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1']; [0.9999974966049194, 0.9999837279319763, 0.9995574951171875, 0.9992344379425049, 0.9982922673225403]
+Nc1nc2c(-c3ccc(C(=O)N4CCOCC4)cc3)cccn2n1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [0.9999995231628418, 0.9999994039535522, 0.9999951720237732, 0.9999915361404419, 0.9999757409095764, 0.9999487400054932, 0.999913215637207, 0.9993826150894165, 0.9954947233200073, 0.9188588857650757]
+Nc1nc2c(-c3ccc(C(F)(F)F)cc3)cccn2n1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1ccc(C(F)(F)F)cc1']; [0.9999983906745911, 0.9999850392341614]
+CN(C)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(I)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999994039535522, 0.9998883008956909, 0.9920839071273804]
+CNS(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; [0.9999901056289673, 0.9999783039093018, 0.9982702732086182, 0.9979100227355957, 0.9969363212585449]
+Cc1nc(C)c(-c2cccn3nc(N)nc23)s1; ['Cc1csc(C)n1']; ['Nc1nc2c(Br)cccn2n1']; [0.9714336395263672]
+C[C@@H](O)COc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
+Nc1nc2c(Cc3ccccc3O)cccn2n1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; [0.9999893307685852, 0.9999796748161316, 0.9999467134475708, 0.9997256994247437, 0.9992551207542419, 0.999009370803833]
 Nc1nc2c(-c3ccc4c(c3)CS(=O)(=O)C4)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3ccc(C(=O)N4CCOCC4)cn3)cccn2n1; [None]; [None]; [0]
 CC(C)c1cc(-c2cccn3nc(N)nc23)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3cccn4nc(N)nc34)c2)CC1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(B(O)O)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9993249177932739, 0.9992991089820862, 0.9991649389266968, 0.8665224313735962]
+Nc1nc2c(-c3ccc(Br)cc3)cccn2n1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'Brc1ccc(I)cc1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1ccc(Br)cc1', 'Nc1nc2ccccn2n1']; [0.9999758005142212, 0.9965066909790039, 0.9553670883178711]
+Nc1nc2c([C@H]3CCN(C(=O)c4ccccc4)C3)cccn2n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccn3nc(N)nc23)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; [0.9999967813491821, 0.9999823570251465, 0.9998618364334106]
+CS(=O)(=O)N1CCC(c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
+Nc1ncc(Cc2cccn3nc(N)nc23)cn1; [None]; [None]; [0]
 CCCOc1ccc(-c2cccn3nc(N)nc23)nc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3cccn4nc(N)nc34)c2)CC1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cccn2nc(N)nc12; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999330043792725, 0.9995978474617004]
+CNS(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)c(C)c1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9996867179870605, 0.9994168281555176, 0.999055027961731, 0.9985332489013672, 0.9972084760665894]
+Cc1c(C(=O)[O-])cccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999983310699463, 0.9999871253967285, 0.9999842643737793, 0.9996146559715271, 0.9995181560516357, 0.9993284344673157, 0.965844452381134, 0.9358549118041992]
+Nc1nc2c(-c3ccn4nccc4n3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3c[nH]c4ccccc34)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'Ic1c[nH]c2ccccc12', 'Nc1nc2c(I)cccn2n1']; ['OB(O)c1c[nH]c2ccccc12', 'Nc1nc2ccccn2n1', 'c1ccc2[nH]ccc2c1']; [0.999630331993103, 0.9938780069351196, 0.9628517627716064]
+Nc1nc2c(-c3ccc4c(c3)CCO4)cccn2n1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Ic1ccc2c(c1)CCO2', 'Nc1nc2c(I)cccn2n1', 'Brc1ccc2c(c1)CCO2']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1nc2ccccn2n1', 'c1ccc2c(c1)CCO2', 'Nc1nc2ccccn2n1']; [1.0, 0.9999997615814209, 0.9999982714653015, 0.999997079372406, 0.9999741315841675, 0.997429370880127, 0.986091673374176, 0.9840442538261414]
+COc1ccc(Cc2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cccn4nc(N)nc34)[nH]c2c1; [None]; [None]; [0]
+Nc1nc2c(-c3ccccc3-n3cccn3)cccn2n1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cccn3nc(N)nc23)cc1Cl; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccn3nc(N)nc23)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc([B-](F)(F)F)c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999974966049194, 0.9999394416809082, 0.999931812286377, 0.9998592138290405, 0.9995748996734619, 0.9456295371055603]
+Nc1nc2c(-c3scc4c3OCCO4)cccn2n1; ['Nc1nc2c(Br)cccn2n1']; ['c1scc2c1OCCO2']; [0.9997919797897339]
+COc1cc(-c2cccn3nc(N)nc23)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999884366989136, 0.9999802112579346, 0.9999495148658752, 0.9998652935028076, 0.9996427893638611, 0.9994008541107178, 0.9710930585861206]
+CC(C)(C)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccccc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999994039535522, 0.9999790191650391, 0.9975035190582275, 0.8156827092170715]
+Nc1nc2c(-c3cnc4ccccc4c3)cccn2n1; ['Nc1nc2c(Br)cccn2n1']; ['OB(O)c1cnc2ccccc2c1']; [0.999980092048645]
+Nc1nc2c(-c3cccc4c3OCO4)cccn2n1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2']; [0.9999704360961914, 0.9986182451248169, 0.9963518977165222, 0.9950883388519287]
+CC(C)(C)c1ccc(-c2cccn3nc(N)nc23)cn1; ['CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999777674674988, 0.9998779296875]
+Nc1nc2c(-c3cc(-c4ccccc4)[nH]n3)cccn2n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999856352806091, 0.9999392032623291, 0.9992344379425049, 0.99859219789505, 0.9980775117874146, 0.9950739741325378, 0.9523493051528931]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+Cc1ccc(-c2cccn3nc(N)nc23)c(=O)[nH]1; [None]; [None]; [0]
+Nc1nc2c(-c3csc(N)n3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(Cc3nc4c(F)c(F)ccc4[nH]3)cccn2n1; [None]; [None]; [0]
+CSc1ccc(-c2cccn3nc(N)nc23)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999899864196777, 0.9982237815856934]
+COc1cccc(C(=O)Nc2cccn3nc(N)nc23)c1; [None]; [None]; [0]
+Nc1nc2c(-c3cc4ccccc4s3)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; ['OB(O)c1cc2ccccc2s1', 'c1ccc2sccc2c1']; [0.9998540282249451, 0.9726824760437012]
+Nc1nc2c(Cc3nc4ccc(F)c(F)c4[nH]3)cccn2n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
+Cc1cc(-c2cccn3nc(N)nc23)nc(N)n1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cccn4nc(N)nc34)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9995531439781189, 0.9993852376937866]
+Nc1nc2c(-c3ccc(F)cc3Cl)cccn2n1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl']; [0.9999972581863403, 0.9999957084655762, 0.9999825954437256]
+Nc1nc2c(Cc3nc4ccccc4[nH]3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(CCCc3ccccc3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3ncc(Br)cn3)cccn2n1; ['Brc1cncnc1']; ['Nc1nc2c(I)cccn2n1']; [0.8072511553764343]
+COc1ccc(-c2cccn3nc(N)nc23)cc1OC; ['COc1ccc(B(O)O)cc1OC']; ['Nc1nc2c(Br)cccn2n1']; [0.9999678134918213]
+CCc1ccc(-c2cccn3nc(N)nc23)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(I)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999982118606567, 0.9994523525238037, 0.8409395217895508]
+Nc1nc2c(-c3ccc(Cl)cc3Cl)cccn2n1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1ccc(Cl)cc1Cl']; [0.999983549118042, 0.9999810457229614]
+Nc1nc2c(-c3ccc4c(c3)CCC(=O)N4)cccn2n1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(Br)ccc2N1']; [0.9999798536300659, 0.9998953342437744, 0.9997608065605164, 0.9986408948898315, 0.9985163807868958, 0.9717555046081543, 0.9051790237426758, 0.824202835559845]
+Nc1nc2c(-c3ccn(-c4cccc(Cl)c4)n3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3ncc4cccn4n3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3cc4ccccn4n3)cccn2n1; [None]; [None]; [0]
+CC[C@@H](CO)c1cccn2nc(N)nc12; [None]; [None]; [0]
+COc1cc(-c2cccn3nc(N)nc23)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1', 'COc1ccccc1N1CCOCC1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999995231628418, 0.999997615814209, 0.9999922513961792, 0.9980119466781616, 0.9734079837799072]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
+Nc1nc2c([C@H](CO)Cc3ccccc3)cccn2n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cccn4nc(N)nc34)ccc2O1; [None]; [None]; [0]
+COc1cc(-c2cccn3nc(N)nc23)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999990463256836, 0.999994158744812]
+Cn1cc(-c2cccn3nc(N)nc23)c(C(F)(F)F)n1; ['Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999710321426392, 0.9998332262039185, 0.9994187355041504]
+COc1cc(F)c(-c2cccn3nc(N)nc23)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1ccc(F)cc1OC']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999861717224121, 0.9996578693389893, 0.9622594118118286]
+Nc1nc2c(-c3ncc(Cl)cn3)cccn2n1; [None]; [None]; [0]
+Cc1csc2c(-c3cccn4nc(N)nc34)ncnc12; [None]; [None]; [0]
+Nc1nc2c(CCCn3cncn3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3cccc4ccc(O)cc34)cccn2n1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1nc2c(Br)cccn2n1']; [0.9998247027397156]
+CNC(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; [0.9999966025352478, 0.9999868869781494, 0.9998294115066528, 0.9998003840446472, 0.99920254945755]
+Nc1nc2c(-c3cnn(CCO)c3)cccn2n1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'OCCn1cc(B(O)O)cn1']; [0.9999997615814209, 0.9999996423721313, 0.9999929666519165, 0.9999646544456482]
+COc1cc(-c2cccn3nc(N)nc23)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1ccc(OC)c(Br)c1', 'COc1cc(B(O)O)c(OC)cc1Br']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9988415241241455, 0.9592357277870178, 0.901405930519104]
+COc1ccc2cccc(-c3cccn4nc(N)nc34)c2c1; [None]; [None]; [0]
 Nc1cc(-c2cccn3nc(N)nc23)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cccn3nc(N)nc23)c1; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999960660934448, 0.9999701976776123, 0.9999644756317139]
 Nc1nc2c(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cccn2n1; [None]; [None]; [0]
+COc1ccc2oc(-c3cccn4nc(N)nc34)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1']; ['Nc1nc2c(Br)cccn2n1']; [0.9999310970306396]
+COc1cc(CS(C)(=O)=O)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cccn3nc(N)nc23)c1; [None]; [None]; [0]
+Nc1nc2c(-c3ccc4cn[nH]c4c3)cccn2n1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'CC1(C)COB(c2ccc3cn[nH]c3c2)OC1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1nc2c(Br)cccn2n1']; [0.9999922513961792, 0.999929666519165, 0.999928891658783, 0.9999051690101624]
+CCNC(=O)c1ccc(-c2cccn3nc(N)nc23)nc1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
+CCn1cc(-c2cccn3nc(N)nc23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cccn1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999963641166687, 0.9999938011169434, 0.9999040365219116, 0.9690613746643066]
+CO[C@@H]1CC[C@@H](c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cccn3nc(N)nc13)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cccn3nc(N)nc23)c1; [None]; [None]; [0]
+Nc1nc2c(-c3ncc4sccc4n3)cccn2n1; ['Nc1nc2c(I)cccn2n1']; ['c1ncc2sccc2n1']; [0.9387062788009644]
+CC(C)c1nn(C)cc1-c1cccn2nc(N)nc12; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.99996018409729, 0.9999308586120605]
+CNC(=O)c1ccc(OC)c(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
+Nc1nc2c(-c3cc(-c4cccnc4)ccn3)cccn2n1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
+Nc1nc2c(-c3ccc(OC(F)(F)F)cc3)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)Oc1ccc(I)cc1', 'FC(F)(F)Oc1ccccc1']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(I)cccn2n1']; [1.0, 1.0, 0.9999696016311646, 0.9987434148788452]
+COc1ccc2nc(-c3cccn4nc(N)nc34)[nH]c2c1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cccn3nc(N)nc23)c1; ['COc1ccc(F)c(C(N)=O)c1']; ['Nc1nc2c(Br)cccn2n1']; [0.9502453804016113]
+Nc1nc2c(-c3cccc(NC(=O)N4CCCC4)c3)cccn2n1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+Cn1cc(-c2cccn3nc(N)nc23)c2ccccc21; [None]; [None]; [0]
+Nc1nc2c(-c3cc4ccccc4o3)cccn2n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccn3nc(N)nc23)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999994039535522, 0.9999710917472839, 0.9999589920043945, 0.9437392354011536]
+Cn1ncc2cc(-c3cccn4nc(N)nc34)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1']; [1.0, 1.0, 0.9999998807907104, 0.9999997615814209, 0.9999992251396179, 0.999998152256012, 0.9999921321868896, 0.9999845027923584, 0.9999728798866272, 0.9993100166320801, 0.9983528852462769, 0.9949765801429749]
 CC(C)(O)c1ccc2cc(-c3cccn4nc(N)nc34)[nH]c2c1; [None]; [None]; [0]
 Nc1nc2c(-c3ncn4c3CCCC4)cccn2n1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cccn4nc(N)nc34)cn2)CC1; [None]; [None]; [0]
-Nc1nc2c(NC(=O)c3cccc(OC(F)(F)F)c3)cccn2n1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cccn4nc(N)nc34)ccc21; [None]; [None]; [0]
+Cc1cc(-c2cccn3nc(N)nc23)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cccn4nc(N)nc34)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(I)ccc12']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999994039535522, 0.9999947547912598, 0.9999899864196777, 0.9984109401702881]
+CC(=O)N1CCC(n2cc(-c3cccn4nc(N)nc34)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [1.0, 0.9999995827674866]
+CCc1cccc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
+Nc1nc2c(NC(=O)c3cccc(OC(F)(F)F)c3)cccn2n1; ['NC(=O)c1cccc(OC(F)(F)F)c1', 'Nc1nc2c([N+](=O)[O-])cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'O=C(Cl)c1cccc(OC(F)(F)F)c1']; [0.9995214939117432, 0.9990167617797852]
+Nc1nc2c(-c3ccc(CCO)cc3)cccn2n1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2ccccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'OCCc1ccc(B(O)O)cc1', 'Nc1nc2c(Cl)cccn2n1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(I)cc1']; [0.9999961853027344, 0.9999663829803467, 0.9996942281723022, 0.9994996786117554, 0.9990017414093018, 0.9936423301696777, 0.8883381485939026]
+COc1cc(S(C)(=O)=O)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cccn4nc(N)nc34)cc2)n1C; [None]; [None]; [0]
+Nc1nc2c(-c3cccc(N4CCCC4=O)c3)cccn2n1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccn3nc(N)nc23)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9998722076416016, 0.9995677471160889]
+CN(C)C(=O)c1ccc(-c2cccn3nc(N)nc23)c(Cl)c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.999567449092865, 0.9995669722557068]
+CCNC(=O)Cc1ccc(-c2cccn3nc(N)nc23)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1nc2c(Br)cccn2n1']; [0.9206985235214233]
+COc1cc(N2CCNCC2)ccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1cccn2nc(N)nc12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccn2nc(N)nc12; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9983113408088684, 0.9971421957015991]
+CN(C)C(=O)c1ccc(-c2cccn3nc(N)nc23)nc1; [None]; [None]; [0]
+CCOc1ccccc1-c1cccn2nc(N)nc12; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999822378158569, 0.9999527931213379, 0.9999246001243591, 0.8789016008377075]
 Cn1nc(-c2cccn3nc(N)nc23)cc1C(C)(C)O; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cccn3nc(N)nc23)c1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccn2nc(N)nc12; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9998247027397156, 0.9994580745697021, 0.9992753267288208, 0.9987474083900452, 0.9683616161346436, 0.9333239793777466]
+Nc1nc2c(-c3cccc(C(F)(F)F)c3)cccn2n1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999995827674866, 0.9999938011169434]
+Nc1nc2c(-c3ccnc4ccccc34)cccn2n1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1ccnc2ccccc12', 'OB(O)c1ccnc2ccccc12']; [0.9999632835388184, 0.9997087717056274, 0.9995365738868713]
+Nc1nc2c(-c3ccccc3OC(F)(F)F)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1']; ['OB(O)c1ccccc1OC(F)(F)F', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999674558639526, 0.9999622106552124, 0.9929217100143433, 0.9859084486961365]
+Nc1nc2c(-c3ccccc3C(=O)[O-])cccn2n1; [None]; [None]; [0]
+COC(C)(C)CCc1cccn2nc(N)nc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccn3nc(N)nc23)[nH]1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cccn2nc(N)nc12; ['NC(=O)c1ccccc1B(O)O']; ['Nc1nc2c(Br)cccn2n1']; [0.9940021634101868]
+Nc1nc2c(-c3cnn(Cc4ccccc4)c3)cccn2n1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Nc1nc2c(Cl)cccn2n1', 'OB(O)c1cnn(Cc2ccccc2)c1', 'c1ccc(Cn2cccn2)cc1']; [0.9999995231628418, 0.9999993443489075, 0.9999984502792358, 0.9999958276748657, 0.9999903440475464, 0.978923499584198]
+Cn1cnc2ccc(-c3cccn4nc(N)nc34)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1nc2c(Br)cccn2n1']; [0.9839435815811157]
+Nc1nc2c(-c3cc(Cl)ccc3Cl)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)cc1']; ['OB(O)c1cc(Cl)ccc1Cl', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999105930328369, 0.9998970031738281, 0.9593178033828735, 0.9172106981277466]
+Nc1nc2c(Cc3cc(F)cc(F)c3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3cccc(NC(=O)c4ccccc4)c3)cccn2n1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999971389770508, 0.9999854564666748, 0.9999802112579346, 0.9999736547470093, 0.999645471572876]
+Cc1ccc(-c2cccn3nc(N)nc23)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1']; ['Nc1nc2c(Br)cccn2n1']; [0.9532431364059448]
+Cc1nc2ccccn2c1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+Nc1nc2c(-c3cnc4ccccn34)cccn2n1; ['Nc1nc2c(Br)cccn2n1']; ['c1ccn2ccnc2c1']; [0.9998729228973389]
+Cc1nc(N)sc1-c1cccn2nc(N)nc12; ['Cc1csc(N)n1']; ['Nc1nc2c(Br)cccn2n1']; [0.9329513311386108]
+Nc1nc2c(-c3c(Cl)cccc3Cl)cccn2n1; ['Nc1nc2c(Br)cccn2n1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.9975460171699524]
 Nc1nc2c(-n3ncc4cccc(F)c4c3=O)cccn2n1; [None]; [None]; [0]
-Cc1c(-c2cccn3nc(N)nc23)sc(=O)n1C; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cccn3nc(N)nc23)cs1; [None]; [None]; [0]
+Nc1nc2c(-c3cccc(Br)c3)cccn2n1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1cccc(Br)c1']; [0.9999250173568726, 0.9995860457420349]
+Nc1nc2c(-c3cnc(-c4ccccc4)[nH]3)cccn2n1; [None]; [None]; [0]
+COc1cnc(-c2cccn3nc(N)nc23)nc1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cccn3nc(N)nc23)c1; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9998831748962402, 0.9993004202842712, 0.8974921703338623]
+Nc1nc2c(-c3cccc(Cn4cncn4)c3)cccn2n1; [None]; [None]; [0]
 Nc1nc2c(-c3cnn4ncccc34)cccn2n1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccn3nc(N)nc23)o1; [None]; [None]; [0]
+Nc1nc2c(-c3ccc4ccccc4c3)cccn2n1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1ccc2ccccc2c1']; [0.9999978542327881, 0.9999873638153076]
+Nc1nccc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
+Cc1c(-c2cccn3nc(N)nc23)sc(=O)n1C; [None]; [None]; [0]
+CC(C)C(=O)COc1cccn2nc(N)nc12; [None]; [None]; [0]
+CNc1nc(C)c(-c2cccn3nc(N)nc23)s1; [None]; [None]; [0]
+Nc1nc2c(NCc3cccnc3)cccn2n1; ['NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1', 'NCc1cccnc1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(F)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; [0.9998200535774231, 0.9991413950920105, 0.9988659620285034, 0.9968714714050293]
+Nc1nc2c(NC(=O)c3cccs3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(Nc3cccnc3)cccn2n1; ['Nc1cccnc1', 'Nc1cccnc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; [0.9974139332771301, 0.9776760339736938]
+Nc1nc2c(NCCc3c[nH]cn3)cccn2n1; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(F)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; [0.9623866081237793, 0.9493764638900757, 0.8683513402938843, 0.8029376268386841]
+Nc1nc2c(-n3cnc4ccccc43)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; ['c1ccc2[nH]cnc2c1', 'c1ccc2[nH]cnc2c1']; [0.9971668720245361, 0.9867085218429565]
+NC(=O)c1c(F)cccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+Nc1nc2c(-c3cncc4ccccc34)cccn2n1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; [0.999981164932251, 0.9999406933784485, 0.9998389482498169]
+Nc1nc2c(NCCc3ccccc3)cccn2n1; ['NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1', 'NCCc1ccccc1']; ['Nc1nc2c(F)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.991206169128418, 0.9872408509254456, 0.9870634078979492, 0.9862775802612305]
+Nc1nc2c(NCc3ccc(Cl)cc3)cccn2n1; ['NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(F)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; [0.9898862838745117, 0.9881755113601685, 0.9874336123466492, 0.8440890312194824]
+Nc1nc2c(-c3ccc(-c4cn[nH]c4)cc3)cccn2n1; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; ['OB(O)c1ccc(-c2cn[nH]c2)cc1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999462366104126, 0.9999421834945679]
+Nc1nc2c(-c3ccc4c(N)[nH]nc4c3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3c[nH]nc3C(F)(F)F)cccn2n1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cccn4nc(N)nc34)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1']; [1.0, 1.0, 0.9999997615814209, 0.9976189732551575, 0.868812084197998]
+Nc1nc2c(Nc3ccncc3)cccn2n1; ['Nc1ccncc1']; ['Nc1nc2c(Br)cccn2n1']; [0.9915099143981934]
 CN1c2ccc(-c3cccn4nc(N)nc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Nc1nc2c(-c3cccc(CC(=O)[O-])c3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3cccc(CO)c3)cccn2n1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(Br)c1', 'OCc1cccc(B(O)O)c1', 'Nc1nc2ccccn2n1', 'OCc1cccc(I)c1', 'OCc1cccc([B-](F)(F)F)c1']; [0.999991774559021, 0.9999872446060181, 0.9999099969863892, 0.9999047517776489, 0.9996811151504517, 0.9994779229164124, 0.9992698431015015, 0.9982858896255493, 0.9978880882263184, 0.8903133869171143]
+Nc1nc2c(NCc3ccccc3F)cccn2n1; ['NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F', 'NCc1ccccc1F']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(F)cccn2n1']; [0.9998922944068909, 0.9996945261955261, 0.9987043142318726, 0.989314615726471]
 CC(C)n1cc(-c2cccn3nc(N)nc23)nn1; [None]; [None]; [0]
+Nc1nc2c(-c3csc4ncncc34)cccn2n1; [None]; [None]; [0]
+CSc1nc(-c2cccn3nc(N)nc23)c[nH]1; [None]; [None]; [0]
+CCCn1cnc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
+Nc1nc2c(-c3cc4ccccc4[nH]3)cccn2n1; [None]; [None]; [0]
 COc1cc(-c2cccn3nc(N)nc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1nc2c(-c3cncnc3N)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3ccc(F)cc3C(F)(F)F)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1cccc(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1nc2ccccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999685287475586, 0.9999443292617798, 0.9775270223617554, 0.9660211801528931]
+CCNc1nc2ccc(-c3cccn4nc(N)nc34)cc2s1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
 Nc1nc2c(CCc3c[nH]nn3)cccn2n1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cccn2nc(N)nc12; [None]; [None]; [0]
-Nc1nc2c(NC(=O)c3c(Cl)cccc3Cl)cccn2n1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cccn3nc(N)nc23)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(Cl)cccn2n1']; [0.9999966621398926, 0.9999874234199524, 0.9998358488082886, 0.9996935129165649]
+N#CCCc1cccc(-c2cccn3nc(N)nc23)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(Br)c1']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999591708183289, 0.9999580383300781, 0.999841034412384, 0.9990109205245972, 0.8794856071472168]
+NC(=O)CCCc1cccn2nc(N)nc12; [None]; [None]; [0]
+COc1ccc(-c2cccn3nc(N)nc23)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999997615814209, 0.9999796152114868]
+Nc1nc2c(NC(=O)c3c(Cl)cccc3Cl)cccn2n1; ['Nc1nc2c([N+](=O)[O-])cccn2n1', 'NC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'Nc1nc2c(Br)cccn2n1']; [0.8872706890106201, 0.8782366514205933]
+Nc1nc2c(-c3cnn4ccccc34)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C']; ['OB(O)c1cnn2ccccc12', 'Nc1nc2c(Br)cccn2n1']; [0.9999698400497437, 0.9998860359191895]
+CS(=O)(=O)C1CCN(c2cccn3nc(N)nc23)CC1; ['CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.8859459757804871, 0.8787412643432617, 0.7950505614280701]
 CC(C)(COc1cccn2nc(N)nc12)S(C)(=O)=O; [None]; [None]; [0]
+CCCn1cc(-c2cccn3nc(N)nc23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cccn1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [1.0, 1.0, 0.999977707862854, 0.9850975275039673]
+Nc1nc2c(-c3cc[nH]c(=O)c3)cccn2n1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'O=c1cc(I)cc[nH]1', 'Nc1nc2c(Cl)cccn2n1', 'O=c1cc(Br)cc[nH]1', 'O=c1cc(I)cc[nH]1', 'O=c1cc(Br)cc[nH]1']; [0.9999923706054688, 0.9999498128890991, 0.999501645565033, 0.999302089214325, 0.9974432587623596, 0.8685897588729858, 0.7962369918823242]
+CC(C)(O)CC(=O)NCCc1cccn2nc(N)nc12; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cccn3nc(N)nc23)cc1; [None]; [None]; [0]
+Nc1nc2c(Oc3ccccn3)cccn2n1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Nc1nc2c(Br)cccn2n1']; [0.9996191263198853]
+COc1cc(CCc2cccn3nc(N)nc23)cc(OC)c1; [None]; [None]; [0]
 Nc1nc2c(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cccn2n1; [None]; [None]; [0]
-C[C@@H](Oc1cccn2nc(N)nc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[C@@H](Oc1cccn2nc(N)nc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(F)cccn2n1']; [0.9997546672821045, 0.9941525459289551]
+Nc1nc2c(-c3cccc4c3C(=O)CC4)cccn2n1; ['Nc1nc2c(Br)cccn2n1']; ['O=C1CCc2cccc(Br)c21']; [0.9371817111968994]
+CCNS(=O)(=O)c1ccccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
+Nc1nc2c(-c3cc4c(=O)[nH]ccc4o3)cccn2n1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccn2nc(N)nc12; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999979734420776, 0.9999761581420898]
+COc1ccncc1Nc1cccn2nc(N)nc12; ['COc1ccncc1N']; ['Nc1nc2c(Br)cccn2n1']; [0.9904901385307312]
+CC(C)Oc1cncc(-c2cccn3nc(N)nc23)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cccnc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9999997615814209, 0.9999996423721313, 0.999997079372406, 0.999992311000824, 0.9640201926231384]
+Nc1nc2c(Nc3cnc4ccccc4c3)cccn2n1; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1']; [0.9996664524078369, 0.998060941696167, 0.9960370063781738]
+Nc1nc2c(Nc3cnccc3-c3ccccc3)cccn2n1; ['Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; [0.9972302317619324, 0.9967993497848511]
+Nc1nc2c(-c3c[nH]c4cnccc34)cccn2n1; ['Nc1nc2c(Br)cccn2n1']; ['OB(O)c1c[nH]c2cnccc12']; [0.9987001419067383]
 Nc1nc2c(-c3cc4c(=O)[nH]cc(Br)c4s3)cccn2n1; [None]; [None]; [0]
-Nc1nc2c(Nc3cnccc3-c3ccccc3)cccn2n1; [None]; [None]; [0]
+CCN(CC)c1cccn2nc(N)nc12; [None]; [None]; [0]
+Nc1nc2c(-c3cnc4[nH]ccc4c3)cccn2n1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Brc1cnc2[nH]ccc2c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1nc2c(Br)cccn2n1']; [1.0, 1.0, 0.9999997019767761, 0.9999995231628418, 0.9999964237213135, 0.9994179606437683]
+CS(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999989867210388, 0.9999898672103882, 0.9998176097869873, 0.9994416236877441, 0.9987092614173889, 0.9524621963500977]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccn3nc(N)nc23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.999988317489624, 0.9999467730522156, 0.9998947978019714, 0.9997390508651733, 0.9990623593330383, 0.9990254640579224, 0.9830666780471802, 0.8306280374526978]
+CNC(=O)c1c(F)cccc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
 CN(c1cccn2nc(N)nc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@H](Nc1cccn2nc(N)nc12)C(C)(C)O; ['C[C@H](N)C(C)(C)O']; ['Nc1nc2c(I)cccn2n1']; [0.81659996509552]
+Nc1nc2c(-c3c(F)cccc3Cl)cccn2n1; ['Nc1nc2c(Br)cccn2n1']; ['OB(O)c1c(F)cccc1Cl']; [0.9999980926513672]
+CC1(c2cccn3nc(N)nc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@@H](Nc1cccn2nc(N)nc12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Nc1nc2c(I)cccn2n1']; [0.81659996509552]
+Cc1cc(-c2cccn3nc(N)nc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Nc1nc2c(-n3ccc(CO)n3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-n3ncc4ccccc43)cccn2n1; ['Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(F)cccn2n1']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9992175102233887, 0.9987962245941162, 0.9496861696243286]
+Nc1nc2c(-n3ncc4c(O)cccc43)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; ['Oc1cccc2[nH]ncc12', 'Oc1cccc2[nH]ncc12']; [0.979231595993042, 0.977076530456543]
+Nc1nc2c(-c3ccc(-n4cncn4)cc3)cccn2n1; [None]; [None]; [0]
+COc1ccc(-c2cccn3nc(N)nc23)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9998917579650879, 0.9994493722915649]
 C[C@H](Nc1cccn2nc(N)nc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-Nc1nc2c(Cc3nnc4ccc(-c5ccccc5)nn34)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-n3cnc(CCO)c3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3nc4ccc(O)cc4[nH]3)cccn2n1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccn3nc(N)nc23)[nH]1; [None]; [None]; [0]
+Nc1nc2c(-c3ccc(C(=O)c4ccccc4)cc3)cccn2n1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9999958872795105, 0.9999630451202393, 0.9999361634254456, 0.9998821020126343, 0.999859094619751, 0.9997060298919678, 0.9992373585700989, 0.9971969127655029, 0.9891209006309509, 0.9686093330383301, 0.8686082363128662]
+Nc1nc2c(-c3nncn3C3CC3)cccn2n1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
 Nc1nc2c(-c3ccn(CC[NH3+])n3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3nnc(N)s3)cccn2n1; [None]; [None]; [0]
 Nc1nc2c(CS(=O)(=O)NCc3ccccn3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(CCC(=O)NCc3ccccn3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(Cc3nnc4ccc(-c5ccccc5)nn34)cccn2n1; [None]; [None]; [0]
+CCc1cc(-c2cccn3nc(N)nc23)nc(N)n1; [None]; [None]; [0]
+Nc1nc2c(-c3cn(Cc4ccccc4)nn3)cccn2n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccn3nc(N)nc23)s1; [None]; [None]; [0]
+CCCCc1cc(-c2cccn3nc(N)nc23)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccn2nc(N)nc12; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cccn4nc(N)nc34)nc2NC1=O; [None]; [None]; [0]
-Nc1nc2c(Oc3ccc(C[NH3+])cc3F)cccn2n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
+Nc1nc2c(-c3nc4ccccc4s3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3cccc4ccsc34)cccn2n1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Nc1nc2c(Br)cccn2n1']; ['Nc1nc2c(Br)cccn2n1', 'OB(O)c1cccc2ccsc12']; [0.9999992251396179, 0.9998738765716553]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccn4nc(N)nc34)c2)cc1; [None]; [None]; [0]
+Nc1nc2c(Oc3ccc(C[NH3+])cc3F)cccn2n1; [None]; [None]; [0]
+Nc1cncc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cccn4nc(N)nc34)nc2NC1=O; [None]; [None]; [0]
 Nc1nc2c(-c3cccc4nnsc34)cccn2n1; [None]; [None]; [0]
-COc1ccc(Oc2cccn3nc(N)nc23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccn3nc(N)nc23)n1; [None]; [None]; [0]
+Nc1nc2c(-c3nc(N)c4ccccc4n3)cccn2n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccn2nc(N)nc12; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1I']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999821186065674, 0.9999799728393555, 0.9951117038726807, 0.9891326427459717]
+C[C@@H2]NC(=O)N1CCC(c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
+Nc1nc2c(-c3ncc4cc[nH]c4n3)cccn2n1; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1']; ['c1ncc2cc[nH]c2n1', 'c1ncc2cc[nH]c2n1']; [0.9221029877662659, 0.853202223777771]
+COc1ccc(Oc2cccn3nc(N)nc23)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'COc1ccc(O)c(F)c1F']; ['Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Br)cccn2n1']; [0.9999097585678101, 0.9999080896377563]
+COc1ccc(OC)c(-c2cccn3nc(N)nc23)c1; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(I)c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1']; [0.9999334216117859, 0.9957327246665955, 0.9509140849113464]
+CC(=O)Nc1ncc(-c2cccn3nc(N)nc23)[nH]1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccn3nc(N)nc23)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2cc(Br)ccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(Br)cccn2n1', 'Nc1nc2ccccn2n1', 'Nc1nc2ccccn2n1']; [0.9999993443489075, 0.9999974966049194, 0.9999925494194031, 0.9999918937683105, 0.99998939037323, 0.9999769330024719, 0.9999729990959167, 0.9999694228172302, 0.9970651865005493, 0.9652689695358276, 0.9471653699874878]
+Nc1nc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cccn2n1; ['Nc1nc2c(Br)cccn2n1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9961673021316528]
+Nc1nc2c(-c3c[nH]c4cccnc34)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(-c3cn(CCO)cn3)cccn2n1; [None]; [None]; [0]
+Nc1nc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)cccn2n1; ['C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1', 'C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Nc1nc2c(Br)cccn2n1', 'Nc1nc2c(Cl)cccn2n1', 'Nc1nc2c(I)cccn2n1', 'Nc1nc2c(F)cccn2n1']; [0.999972939491272, 0.9999530911445618, 0.999901294708252, 0.9987092018127441]
+CCOc1ccc(Nc2cn(C)cn2)cc1; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(N)cc1', 'CCOc1ccc(I)cc1', 'CCOc1ccc(Cl)cc1']; ['Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9991178512573242, 0.9989372491836548, 0.9987773895263672, 0.9982337355613708, 0.9948824644088745, 0.9890530109405518]
+C[C@@]1(O)CC[C@H](c2cccn3nc(N)nc23)CC1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(Nc2cn(C)cn2)cc1; ['CC(=O)N(C)c1ccc(Br)cc1', 'CC(=O)N(C)c1ccc(N)cc1', 'CC(=O)N(C)c1ccc(N)cc1']; ['Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1']; [0.9978693723678589, 0.9973996877670288, 0.9961857199668884]
+Cn1cnc(Nc2ncc3ccccc3n2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Clc1ncc2ccccc2n1']; ['Nc1ncc2ccccc2n1', 'Nc1ncc2ccccc2n1', 'Cn1cnc(N)c1']; [0.9999753832817078, 0.9999428987503052, 0.9997246861457825]
+CN(C)c1cc(-c2cccn3nc(N)nc23)cnn1; [None]; [None]; [0]
 Nc1nc2c(-c3cccc(NC(=O)C4CCNCC4)c3)cccn2n1; [None]; [None]; [0]
+Cn1cnc(Nc2cccc(S(C)(=O)=O)c2)c1; ['CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(Br)c1', 'CS(=O)(=O)c1cccc(N)c1', 'CS(=O)(=O)c1cccc(Cl)c1']; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; [0.9999556541442871, 0.9997693300247192, 0.9987680912017822, 0.9931710362434387]
+Cn1cnc(Nc2cnc3cccnn23)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Clc1cnc2cccnn12', 'Brc1cnc2cccnn12']; ['Nc1cnc2cccnn12', 'Nc1cnc2cccnn12', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9999980330467224, 0.9999978542327881, 0.999967098236084, 0.9998661279678345]
+COc1cc(Nc2cn(C)cn2)cc(OC)c1OC; ['COc1cc(N)cc(OC)c1OC', 'COc1cc(N)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9995660781860352, 0.9989549517631531, 0.9959045648574829, 0.9912229776382446]
+Cc1ccc2ncn(Nc3cn(C)cn3)c2c1; [None]; [None]; [0]
+COc1ncccc1Nc1cn(C)cn1; ['COc1ncccc1N', 'COc1ncccc1Br', 'COc1ncccc1N', 'COc1ncccc1Cl', 'COc1ncccc1N', 'COc1ncccc1I', 'COc1ncccc1B(O)O']; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(I)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9997339248657227, 0.9990641474723816, 0.9985110759735107, 0.9972528219223022, 0.9967571496963501, 0.9955592155456543, 0.9870643615722656]
+Cn1cnc(Nc2cccc(O)c2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1']; ['Nc1cccc(O)c1', 'Oc1cccc(Br)c1', 'Oc1cccc(Cl)c1', 'Nc1cccc(O)c1']; [0.9995511770248413, 0.9988609552383423, 0.9977990388870239, 0.9833716154098511]
+Cn1cnc(Nc2cc(C#N)ccc2O)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; ['N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(N)c1', 'N#Cc1ccc(O)c(I)c1', 'N#Cc1ccc(O)c(Br)c1', 'N#Cc1ccc(O)c(Cl)c1', 'N#Cc1ccc(O)c(F)c1']; [0.9998712539672852, 0.9998648762702942, 0.9979652762413025, 0.9910333752632141, 0.9806146621704102, 0.9793866872787476]
+COc1ccc(Nc2cn(C)cn2)cc1; ['COc1ccc(N)cc1', 'COc1ccc(N)cc1', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(Cl)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(F)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9991491436958313, 0.9984436631202698, 0.9965691566467285, 0.9962897300720215, 0.9944823980331421, 0.9928582310676575, 0.9883104562759399]
+Cn1cnc(Nc2ccc(N3CCOCC3)cc2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Brc1ccc(N2CCOCC2)cc1', 'Cn1cnc(N)c1', 'Clc1ccc(N2CCOCC2)cc1']; ['Nc1ccc(N2CCOCC2)cc1', 'Ic1ccc(N2CCOCC2)cc1', 'Nc1ccc(N2CCOCC2)cc1', 'Cn1cnc(N)c1', 'Nc1ccc(N2CCOCC2)cc1', 'Cn1cnc(N)c1']; [0.9997716546058655, 0.9997188448905945, 0.9992424249649048, 0.9992175102233887, 0.9983341693878174, 0.9977340698242188]
+Cn1cnc(Nc2cccc(NC(=O)C3CC3)c2)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; ['Nc1cccc(NC(=O)C2CC2)c1', 'Nc1cccc(NC(=O)C2CC2)c1', 'O=C(Nc1cccc(Br)c1)C1CC1']; [0.9999809861183167, 0.999916672706604, 0.999634861946106]
+Cn1cnc(Nc2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
+Cn1cnc(Nc2nccc3ccccc23)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Clc1nccc2ccccc12', 'Cn1cnc(I)c1', 'Brc1nccc2ccccc12']; ['Nc1nccc2ccccc12', 'Nc1nccc2ccccc12', 'Cn1cnc(N)c1', 'Nc1nccc2ccccc12', 'Cn1cnc(N)c1']; [0.9979121088981628, 0.9910504221916199, 0.9885091781616211, 0.9838568568229675, 0.9659493565559387]
+Cn1cnc(Nc2ccc(C(N)=O)cc2)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; ['NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(N)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(I)cc1']; [0.9992835521697998, 0.997360110282898, 0.994660496711731, 0.9940210580825806]
+Cn1cnc(Nc2nc3ccccc3[nH]2)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Brc1nc2ccccc2[nH]1', 'CSc1nc2ccccc2[nH]1', 'Clc1nc2ccccc2[nH]1', 'CS(=O)(=O)c1nc2ccccc2[nH]1']; ['Nc1nc2ccccc2[nH]1', 'Nc1nc2ccccc2[nH]1', 'Ic1nc2ccccc2[nH]1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9953946471214294, 0.9937814474105835, 0.9929293394088745, 0.9553261399269104, 0.9351731538772583, 0.9199150800704956, 0.9166129231452942]
 Cc1nc(C(C)(C)O)sc1Nc1cn(C)cn1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3cn(C)cn3)cc2)CC1; [None]; [None]; [0]
-Cn1cnc(Nc2ccc3c(c2)CS(=O)(=O)C3)c1; [None]; [None]; [0]
-CC(C)c1cc(Nc2cn(C)cn2)nc(N)n1; [None]; [None]; [0]
+Cn1cnc(Nc2ccc(C(=O)Nc3ccccc3)cc2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; ['Nc1ccc(C(=O)Nc2ccccc2)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1', 'Nc1ccc(C(=O)Nc2ccccc2)cc1', 'O=C(Nc1ccccc1)c1ccc(Cl)cc1']; [0.9989205598831177, 0.9967033863067627, 0.9918525218963623, 0.8754029870033264]
+CC(=O)NCc1ccc(Nc2cn(C)cn2)cc1; ['CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(N)cc1', 'CC(=O)NCc1ccc(Br)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; [0.9991099834442139, 0.997982382774353, 0.9930608868598938]
+Cn1cnc(Nc2ccc(OCCO)cc2)c1; ['Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1']; ['OCCOc1ccc(Br)cc1', 'OCCOc1ccc(I)cc1', 'Nc1ccc(OCCO)cc1', 'Nc1ccc(OCCO)cc1']; [0.9997559189796448, 0.9996545910835266, 0.9990329742431641, 0.9989141225814819]
+Cn1cnc(NNc2ncccn2)c1; [None]; [None]; [0]
+Cn1cnc(Nc2ccc(C(=O)N3CCOCC3)cc2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1']; ['Nc1ccc(C(=O)N2CCOCC2)cc1', 'O=C(c1ccc(I)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'Nc1ccc(C(=O)N2CCOCC2)cc1']; [0.9999816417694092, 0.9999618530273438, 0.9998446702957153, 0.9997633695602417]
+Cn1cnc(Nc2ccc(C(=O)N3CCOCC3)cn2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; ['Nc1ccc(C(=O)N2CCOCC2)cn1', 'Nc1ccc(C(=O)N2CCOCC2)cn1', 'O=C(c1ccc(Cl)nc1)N1CCOCC1']; [0.9999826550483704, 0.9999310970306396, 0.9998509883880615]
+Cn1cnc(Nc2cnn(Cc3cccc(C#N)c3)c2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(N)cc1', 'CNS(=O)(=O)c1ccc(Br)cc1', 'CNS(=O)(=O)c1ccc(N)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9981664419174194, 0.9945279359817505, 0.8938475847244263, 0.8846530914306641]
+C[C@@H](O)COc1ccc(Nc2cn(C)cn2)cc1; [None]; [None]; [0]
+Cn1cnc(Nc2ccc(C(F)(F)F)cc2)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; ['Nc1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(I)cc1', 'Nc1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(Cl)cc1', 'Fc1ccc(C(F)(F)F)cc1']; [0.9990716576576233, 0.9982573390007019, 0.9965922832489014, 0.9935184717178345, 0.9920003414154053, 0.9491803646087646, 0.8010642528533936]
+C[C@H](O)COc1ccc(Nc2cn(C)cn2)cc1; [None]; [None]; [0]
+Cn1cnc(Nc2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cn(C)cn2)cc1; ['CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(N)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Cl)cc1', 'CN(C)c1ccc(F)cc1', 'CN(C)c1ccc(N)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(I)c1']; [0.9989769458770752, 0.9984548091888428, 0.9977946281433105, 0.997614324092865, 0.996776819229126, 0.9941688776016235, 0.9918179512023926, 0.989557147026062]
+Cn1cnc(NCc2ccccc2O)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1']; ['NCc1ccccc1O', 'NCc1ccccc1O']; [0.9979591369628906, 0.9569742679595947]
+CN(C)S(=O)(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(N)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'CN(C)S(=O)(=O)c1ccc(F)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9999303817749023, 0.9991035461425781, 0.996476411819458, 0.9959743022918701, 0.9841969013214111]
+Cn1cnc(Nc2ccc3c(c2)CS(=O)(=O)C3)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; ['Nc1ccc2c(c1)CS(=O)(=O)C2', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Nc1ccc2c(c1)CS(=O)(=O)C2', 'Nc1ccc2c(c1)CS(=O)(=O)C2']; [0.9999723434448242, 0.9997419118881226, 0.9997152090072632, 0.9972647428512573]
+Cn1cnc(NC2CCN(S(C)(=O)=O)CC2)c1; ['CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(N)CC1', 'CS(=O)(=O)N1CCC(=O)CC1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; [0.999968409538269, 0.9999620914459229, 0.997081995010376]
+Cc1nc(C)c(Nc2cn(C)cn2)s1; [None]; [None]; [0]
+Cn1cnc(NCc2cnc(N)nc2)c1; ['Cn1cnc(N)c1']; ['Nc1ncc(C=O)cn1']; [0.9832009077072144]
+CCNS(=O)(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(N)cc1', 'CCNS(=O)(=O)c1ccc(Br)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; [0.9954941272735596, 0.9718453884124756, 0.9101234674453735]
+CC(C)c1cc(Nc2cn(C)cn2)nc(N)n1; ['CC(C)c1cc(Cl)nc(N)n1']; ['Cn1cnc(N)c1']; [0.9996625185012817]
+CCCOc1ccc(Nc2cn(C)cn2)nc1; ['CCCOc1ccc(Br)nc1']; ['Cn1cnc(N)c1']; [0.9975861310958862]
+Cn1cnc(N[C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
+Cn1cnc(Nc2ccc(Br)cc2)c1; ['Brc1ccc(I)cc1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Clc1ccc(Br)cc1', 'Brc1ccc(Br)cc1', 'Cn1cnc(N)c1']; ['Cn1cnc(N)c1', 'Nc1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Nc1ccc(Br)cc1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Fc1ccc(Br)cc1']; [0.9990949630737305, 0.9983096718788147, 0.9919720888137817, 0.9723182916641235, 0.9460420608520508, 0.932867169380188, 0.8889268040657043]
+CN(C)c1ccc(Nc2cn(C)cn2)cc1Cl; ['CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(N)cc1Cl', 'CN(C)c1ccc(F)cc1Cl', 'CN(C)c1ccc(N)cc1Cl']; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9997214674949646, 0.9975662231445312, 0.9892252683639526, 0.9782251119613647, 0.9754471778869629]
+Cc1c(Nc2cn(C)cn2)cccc1C(=O)[O-]; [None]; [None]; [0]
+COc1ccc(CNc2cn(C)cn2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(CCl)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(I)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9999737739562988, 0.9991322755813599, 0.9987391233444214, 0.9985596537590027, 0.9977034330368042, 0.9959937334060669]
+Cn1cnc(Nc2ccn3nccc3n2)c1; ['Cn1cnc(Br)c1', 'Clc1ccn2nccc2n1', 'Cn1cnc(Cl)c1', 'Brc1ccn2nccc2n1', 'Cn1cnc(N)c1']; ['Nc1ccn2nccc2n1', 'Cn1cnc(N)c1', 'Nc1ccn2nccc2n1', 'Cn1cnc(N)c1', 'O=c1ccn2nccc2[nH]1']; [0.9998112320899963, 0.9997692108154297, 0.9996798038482666, 0.9992750287055969, 0.9493279457092285]
+CNS(=O)(=O)c1ccc(Nc2cn(C)cn2)c(C)c1; ['CNS(=O)(=O)c1ccc(Br)c(C)c1']; ['Cn1cnc(N)c1']; [0.9991120100021362]
+CCN(CC)C(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(I)cc1', 'CCN(CC)C(=O)c1ccc(N)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'CCN(CC)C(=O)c1ccc(F)cc1']; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9991632699966431, 0.9987096786499023, 0.996833086013794, 0.9968116283416748, 0.9967225790023804, 0.9088213443756104]
 CC(=O)N1CCCN(c2cccc(Nc3cn(C)cn3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(Nc2cn(C)cn2)nc1; [None]; [None]; [0]
+Cn1cnc(Nc2ccccc2-n2cccn2)c1; ['Brc1ccccc1-n1cccn1', 'Cn1cnc(Br)c1', 'Cn1cnc(I)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Clc1ccccc1-n1cccn1', 'Cn1cnc(N)c1']; ['Cn1cnc(N)c1', 'Nc1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1ccccc1-n1cccn1', 'Cn1cnc(N)c1', 'Fc1ccccc1-n1cccn1']; [0.9999451041221619, 0.9999438524246216, 0.9997519254684448, 0.9997371435165405, 0.9997318387031555, 0.9987403750419617, 0.9919161796569824]
+COc1ccc(Cl)cc1Nc1cn(C)cn1; ['COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1N', 'COc1ccc(Cl)cc1Br', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1F', 'COc1ccc(Cl)cc1Cl']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9996243119239807, 0.9944395422935486, 0.9736394882202148, 0.9622399806976318, 0.9462008476257324, 0.9027265310287476, 0.846024751663208]
+COc1cc(OC)c(Nc2cn(C)cn2)cc1Cl; ['COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Cl)cc1N', 'COc1cc(OC)c(Br)cc1Cl']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; [0.9977669715881348, 0.9579492807388306, 0.8511731624603271]
+Cn1cnc(Nc2ccc3c(c2)CCO3)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Brc1ccc2c(c1)CCO2', 'Cn1cnc(N)c1']; ['Nc1ccc2c(c1)CCO2', 'Nc1ccc2c(c1)CCO2', 'Cn1cnc(N)c1', 'Ic1ccc2c(c1)CCO2']; [0.9999067783355713, 0.999848484992981, 0.9988635182380676, 0.9986296892166138]
+Cn1cnc(Nc2c[nH]c3ccccc23)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Brc1c[nH]c2ccccc12']; ['Nc1c[nH]c2ccccc12', 'Nc1c[nH]c2ccccc12', 'Ic1c[nH]c2ccccc12', 'Cn1cnc(N)c1']; [0.9889004230499268, 0.9884636402130127, 0.9858493804931641, 0.9619234800338745]
+COc1cc(C(=O)N2CCOCC2)ccc1Nc1cn(C)cn1; ['COc1cc(C(=O)N2CCOCC2)ccc1N', 'COc1cc(C(=O)N2CCOCC2)ccc1N']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1']; [0.9999048709869385, 0.9996132850646973]
+COc1cc(Nc2cn(C)cn2)ccc1O; ['COc1cc(N)ccc1O', 'COc1cc(N)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9986715316772461, 0.9893283247947693, 0.9468868970870972, 0.9385755062103271]
+Cn1cnc(Nc2cccc3c2OCO3)c1; ['Cn1cnc(Br)c1', 'Brc1cccc2c1OCO2', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1']; ['Nc1cccc2c1OCO2', 'Cn1cnc(N)c1', 'Ic1cccc2c1OCO2', 'Fc1cccc2c1OCO2', 'OB(O)c1cccc2c1OCO2', 'Nc1cccc2c1OCO2']; [0.9992862939834595, 0.9882657527923584, 0.9842712879180908, 0.9737648367881775, 0.9505249261856079, 0.9481134414672852]
+CC(=O)Nc1cccc(Nc2cn(C)cn2)c1; ['CC(=O)Nc1cccc(N)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(Br)c1', 'CC(=O)Nc1cccc(Cl)c1', 'CC(=O)Nc1cccc(N)c1']; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1']; [0.9996063709259033, 0.9984232187271118, 0.9961912631988525, 0.9867202639579773, 0.9736890196800232]
+Cn1cnc(Nc2ccc(C(C)(C)C)cc2)c1; ['CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(N)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Cl)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9994113445281982, 0.9982702732086182, 0.9973529577255249, 0.9971598386764526, 0.9896810054779053]
+Cn1cnc(Nc2cnc3ccccc3c2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Brc1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1', 'Cn1cnc(N)c1']; [0.9991641044616699, 0.9958956241607666, 0.9924837946891785, 0.966898500919342]
+Cn1cnc(Nc2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
+Cn1cnc(NCc2nc3c(F)c(F)ccc3[nH]2)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(I)cc1', 'CN(C)C(=O)c1ccc(N)cc1', 'CN(C)C(=O)c1ccc(Br)cc1', 'CN(C)C(=O)c1ccc(Cl)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9997178316116333, 0.9986168742179871, 0.9964250922203064, 0.9943162798881531, 0.9784979820251465]
+Cn1cnc(NCc2nc3ccc(F)c(F)c3[nH]2)c1; [None]; [None]; [0]
+Cn1cnc(Nc2ccc(C(C)(C)C)nc2)c1; ['CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(N)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(I)c1', 'Cn1cnc(N)c1']; [0.9998823404312134, 0.9993988275527954, 0.9990466833114624, 0.9983869194984436]
 CC(C)c1ccc2nc(Nc3cn(C)cn3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Nc1cn(C)cn1; [None]; [None]; [0]
-Cn1cnc(Nc2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
+Cc1ccc(Nc2cn(C)cn2)c(=O)[nH]1; ['Cc1ccc(N)c(=O)[nH]1']; ['Cn1cnc(Br)c1']; [0.955720841884613]
+Cn1cnc(NCc2nc3ccccc3[nH]2)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1']; ['NCc1nc2ccccc2[nH]1', 'NCc1nc2ccccc2[nH]1']; [0.9998730421066284, 0.9958502054214478]
+Cn1cnc(Nc2csc(N)n2)c1; [None]; [None]; [0]
+Cn1cnc(Nc2scc3c2OCCO3)c1; [None]; [None]; [0]
+COc1cccc(C(=O)NNc2cn(C)cn2)c1; [None]; [None]; [0]
+Cn1cnc(NCCCc2ccccc2)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'ClCCCc1ccccc1', 'BrCCCc1ccccc1', 'Cn1cnc(I)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; ['NCCCc1ccccc1', 'NCCCc1ccccc1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'NCCCc1ccccc1', 'O=CCCc1ccccc1', 'OCCCc1ccccc1']; [0.9999672174453735, 0.9994025826454163, 0.9955029487609863, 0.995254635810852, 0.9900741577148438, 0.9881402850151062, 0.8846697211265564]
+CSc1ccc(Nc2cn(C)cn2)cc1; ['CSc1ccc(N)cc1', 'CSc1ccc(N)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1', 'CSc1ccc(Cl)cc1']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9991307258605957, 0.9985275864601135, 0.9981343746185303, 0.9971892833709717, 0.9937780499458313, 0.9593966007232666]
+CC(=O)N[C@@H]1CC[C@@H](Nc2cn(C)cn2)CC1; [None]; [None]; [0]
+Cn1cnc(Nc2cc3ccccc3s2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1']; ['Nc1cc2ccccc2s1', 'Nc1cc2ccccc2s1']; [0.9998665452003479, 0.9998497366905212]
+Cn1cnc(Nc2ccn(-c3cccc(Cl)c3)n2)c1; [None]; [None]; [0]
+CC[C@@H](CO)Nc1cn(C)cn1; ['CC[C@H](N)CO', 'CC[C@H](N)CO', 'CC[C@H](N)CO']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(C#N)c1']; [0.9948680400848389, 0.9935859441757202, 0.9852879047393799]
+Cc1cc(Nc2cn(C)cn2)nc(N)n1; ['Cc1cc(Cl)nc(N)n1', 'Cc1cc(Br)nc(N)n1']; ['Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9989660382270813, 0.9984229803085327]
+Cn1cnc(N[C@H](CO)Cc2ccccc2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(I)c1']; ['N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1', 'N[C@H](CO)Cc1ccccc1']; [0.9950027465820312, 0.9919687509536743, 0.9883544445037842]
+Cn1cnc(Nc2ccc(F)cc2Cl)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; ['Nc1ccc(F)cc1Cl', 'Fc1ccc(Br)c(Cl)c1', 'Nc1ccc(F)cc1Cl', 'Fc1ccc(I)c(Cl)c1']; [0.9998325109481812, 0.9997674822807312, 0.9987053275108337, 0.9974671602249146]
+CCN1CCN(Cc2ccc(Nc3cn(C)cn3)cc2)CC1; ['CCN1CCN(Cc2ccc(N)cc2)CC1', 'CCN1CCN(Cc2ccc(N)cc2)CC1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1']; [0.9799337983131409, 0.9465205669403076]
+COc1ccc(Nc2cn(C)cn2)cc1OC; ['COc1ccc(N)cc1OC', 'COc1ccc(N)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(F)cc1OC', 'COc1ccc(Cl)cc1OC']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9998663067817688, 0.998294472694397, 0.9980672597885132, 0.9941710233688354, 0.992844820022583, 0.9843599796295166, 0.9642351865768433]
+Cn1cnc(Nc2ncc(Br)cn2)c1; ['Clc1ncc(Br)cn1', 'Cn1cnc(Cl)c1', 'Brc1cnc(Br)nc1', 'CS(=O)(=O)c1ncc(Br)cn1', 'CS(=O)c1ncc(Br)cn1', 'Cn1cnc(Br)c1']; ['Cn1cnc(N)c1', 'Nc1ncc(Br)cn1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Nc1ncc(Br)cn1']; [0.9999606609344482, 0.9998055100440979, 0.9982783794403076, 0.9947242736816406, 0.9900496006011963, 0.9876039028167725]
+CCc1ccc(Nc2cn(C)cn2)cc1; ['CCc1ccc(N)cc1', 'CCc1ccc(N)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Cl)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9997506141662598, 0.9996734857559204, 0.9989392161369324, 0.9987860321998596, 0.9977673292160034, 0.9959067106246948]
+Cn1cnc(Nc2ccc3c(c2)CCC(=O)N3)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; ['Nc1ccc2c(c1)CCC(=O)N2', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(Br)ccc2N1', 'O=C1CCc2cc(I)ccc2N1', 'Nc1ccc2c(c1)CCC(=O)N2', 'O=C1CCc2cc(F)ccc2N1', 'O=C1CCc2cc(Cl)ccc2N1']; [0.9999473094940186, 0.9998193383216858, 0.9988518953323364, 0.9964267015457153, 0.9945301413536072, 0.9837853908538818, 0.9643232822418213]
+Cn1cnc(Nc2ccc(Cl)cc2Cl)c1; ['Cn1cnc(Br)c1', 'Clc1ccc(Br)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'Cn1cnc(I)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; ['Nc1ccc(Cl)cc1Cl', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Nc1ccc(Cl)cc1Cl', 'Nc1ccc(Cl)cc1Cl', 'Fc1ccc(Cl)cc1Cl']; [0.9987632036209106, 0.9964892864227295, 0.9913794994354248, 0.9867908358573914, 0.9781688451766968, 0.8108808994293213]
+Cn1cnc(NCCCn2cncn2)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1']; ['NCCCn1cncn1', 'NCCCn1cncn1']; [0.9999944567680359, 0.9995582103729248]
+COc1cc(Nc2cn(C)cn2)ccc1N1CCOCC1; ['COc1cc(N)ccc1N1CCOCC1', 'COc1cc(N)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; [0.9999982118606567, 0.9999778270721436, 0.9999003410339355]
+Cn1cnc(Nc2cc3ccccn3n2)c1; ['Cn1cnc(Cl)c1', 'Clc1cc2ccccn2n1', 'Brc1cc2ccccn2n1', 'Cn1cnc(Br)c1']; ['Nc1cc2ccccn2n1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Nc1cc2ccccn2n1']; [0.9990729093551636, 0.9958659410476685, 0.9857045412063599, 0.9838494062423706]
+Cn1cnc(Nc2ncc3cccn3n2)c1; ['Clc1ncc2cccn2n1']; ['Cn1cnc(N)c1']; [0.9999516010284424]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2cn(C)cn2)cc1; [None]; [None]; [0]
+Cn1cnc(Nc2ccc3c(c2)CC(C)(C)O3)c1; [None]; [None]; [0]
+COc1ccc2cccc(Nc3cn(C)cn3)c2c1; ['COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(N)c2c1', 'COc1ccc2cccc(Br)c2c1']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; [0.9998800754547119, 0.9996838569641113, 0.9989166259765625]
+Cn1cnc(Nc2cn(C)nc2C(F)(F)F)c1; ['Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(N)c(C(F)(F)F)n1', 'Cn1cc(I)c(C(F)(F)F)n1', 'Cn1cc(Br)c(C(F)(F)F)n1']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9999706745147705, 0.9999111890792847, 0.9998832941055298, 0.9996311664581299]
+COc1cc(Nc2cn(C)cn2)ccc1Cl; ['COc1cc(N)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'COc1cc(I)ccc1Cl', 'COc1cc(F)ccc1Cl', 'COc1cc(N)ccc1Cl']; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1']; [0.9999493360519409, 0.9994632005691528, 0.9992472529411316, 0.9980739951133728, 0.9922962188720703]
+Cn1cnc(Nc2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
+Cc1csc2c(Nc3cn(C)cn3)ncnc12; ['Cc1csc2c(Cl)ncnc12']; ['Cn1cnc(N)c1']; [0.9993211030960083]
+COc1cc(F)c(Nc2cn(C)cn2)cc1OC; ['COc1cc(N)c(F)cc1OC', 'COc1cc(N)c(F)cc1OC', 'COc1cc(F)c(Br)cc1OC', 'COc1cc(F)c(F)cc1OC']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9998751282691956, 0.9998719692230225, 0.9950377941131592, 0.941802978515625]
+Cn1cnc(Nc2ncc(Cl)cn2)c1; ['Cn1cnc(Br)c1', 'Clc1cnc(Cl)nc1', 'Cn1cnc(Cl)c1', 'CS(=O)(=O)c1ncc(Cl)cn1']; ['Nc1ncc(Cl)cn1', 'Cn1cnc(N)c1', 'Nc1ncc(Cl)cn1', 'Cn1cnc(N)c1']; [0.9972602128982544, 0.9956417083740234, 0.9898105263710022, 0.974617600440979]
+CNC(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(N)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Cl)cc1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.996748685836792, 0.9956637620925903, 0.9954419136047363, 0.9841928482055664, 0.8511171936988831]
+COc1cc(Nc2cn(C)cn2)c(OC)cc1Br; ['COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br']; ['Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9949272871017456, 0.888628363609314]
+Cn1cnc(Nc2cc(N)nc3[nH]ccc23)c1; ['Cn1cnc(N)c1']; ['Nc1cc(Br)c2cc[nH]c2n1']; [0.9658894538879395]
 COc1cc(CS(C)(=O)=O)ccc1Nc1cn(C)cn1; [None]; [None]; [0]
+COc1ccc(OC)c(CNc2cn(C)cn2)c1; ['COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(CBr)c1', 'COc1ccc(OC)c(CN)c1', 'COc1ccc(OC)c(C=O)c1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(I)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; [0.9999555349349976, 0.9991010427474976, 0.9990257024765015, 0.9959670305252075, 0.9751219749450684]
+CCNC(=O)c1ccc(Nc2cn(C)cn2)nc1; ['CCNC(=O)c1ccc(Br)nc1', 'CCNC(=O)c1ccc(Cl)nc1']; ['Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9952558279037476, 0.9872822761535645]
+CO[C@@H]1CC[C@@H](Nc2cn(C)cn2)CC1; ['CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1', 'CO[C@H]1CC[C@H](N)CC1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(I)c1']; [0.9999365210533142, 0.9997462034225464, 0.993778645992279]
+COc1cc(Nc2cn(C)cn2)cc(OC)c1; ['COc1cc(N)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(N)cc(OC)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(F)cc(OC)c1']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(I)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9997446537017822, 0.999558687210083, 0.9993886351585388, 0.9985593557357788, 0.9964709281921387, 0.9943360686302185, 0.9933587312698364, 0.9908585548400879]
+CCNC(=O)N1CCC(Nc2cn(C)cn2)CC1; ['CCNC(=O)N1CCC(N)CC1', 'CCNC(=O)N1CCC(N)CC1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1']; [0.9994227886199951, 0.998603880405426]
+Cn1cnc(Nc2cnn(CCO)c2)c1; ['Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; ['Nc1cnn(CCO)c1', 'OCCn1cc(I)cn1', 'Nc1cnn(CCO)c1', 'OCCn1cc(Br)cn1']; [0.9999400973320007, 0.9996374845504761, 0.9990845918655396, 0.9660129547119141]
 Cn1cnc(Nc2cccc(C(=O)Nc3cn[nH]c3)c2)c1; [None]; [None]; [0]
+Cn1cnc(Nc2ccc3cn[nH]c3c2)c1; ['Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Brc1ccc2cn[nH]c2c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Clc1ccc2cn[nH]c2c1']; ['OB(O)c1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Nc1ccc2cn[nH]c2c1', 'Cn1cnc(N)c1', 'Ic1ccc2cn[nH]c2c1', 'Fc1ccc2cn[nH]c2c1', 'Cn1cnc(N)c1']; [0.9999497532844543, 0.9994934797286987, 0.9989861249923706, 0.9962525367736816, 0.9960989952087402, 0.9870364665985107, 0.9227840900421143]
+CNC(=O)c1ccc(OC)c(Nc2cn(C)cn2)c1; ['CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(N)c1', 'CNC(=O)c1ccc(OC)c(Br)c1']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; [0.9984811544418335, 0.9967716932296753, 0.8777603507041931]
+CCn1cc(Nc2cn(C)cn2)cn1; ['CCn1cc(N)cn1', 'CCn1cc(N)cn1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1']; [0.9943726062774658, 0.9906465411186218]
+Cn1cnc(Nc2cc(-c3cccnc3)ccn2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1']; ['Nc1cc(-c2cccnc2)ccn1', 'Nc1cc(-c2cccnc2)ccn1']; [0.9999564290046692, 0.9999127388000488]
 COc1ccc2c(c1)c(Nc1cn(C)cn1)cn2C; [None]; [None]; [0]
+Cn1cnc(Nc2ncc3sccc3n2)c1; ['Clc1ncc2sccc2n1']; ['Cn1cnc(N)c1']; [0.9999606609344482]
+CC(C)c1nn(C)cc1Nc1cn(C)cn1; ['CC(C)c1nn(C)cc1Br']; ['Cn1cnc(N)c1']; [0.99332195520401]
+Cn1cnc(Nc2ccc(C[NH+](C)C)cc2)c1; [None]; [None]; [0]
+Cn1cnc(Nc2ccc(OC(F)(F)F)cc2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(I)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; ['Nc1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccc(OC(F)(F)F)cc1', 'FC(F)(F)Oc1ccc(Cl)cc1', 'Fc1ccc(OC(F)(F)F)cc1']; [0.9999914169311523, 0.9999846816062927, 0.9999775886535645, 0.9999696016311646, 0.9999039173126221, 0.9998579025268555, 0.9996733665466309, 0.9942221641540527]
+Cn1cnc(Nc2cc3ccccc3o2)c1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NNc2cn(C)cn2)c1; [None]; [None]; [0]
-Cn1cnc(Nc2cc3ccc(C(C)(C)O)cc3[nH]2)c1; [None]; [None]; [0]
+Cn1cnc(Nc2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
+COc1ccc2nc(Nc3cn(C)cn3)[nH]c2c1; ['COc1ccc2nc(Cl)[nH]c2c1']; ['Cn1cnc(N)c1']; [0.8864902257919312]
+COc1ccc2oc(Nc3cn(C)cn3)cc2c1; [None]; [None]; [0]
+Cn1cnc(Nc2cn(C)c3ccccc23)c1; [None]; [None]; [0]
+CCc1cccc(Nc2cn(C)cn2)n1; ['CCc1cccc(N)n1', 'CCc1cccc(N)n1', 'CCc1cccc(Br)n1', 'CCc1cccc(N)n1']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(I)c1']; [0.9997201561927795, 0.9994641542434692, 0.9993401765823364, 0.9993232488632202]
+Cn1cnc(Nc2ccc3c(cnn3C)c2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; ['Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(I)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(N)ccc21', 'Cn1ncc2cc(Cl)ccc21', 'Cn1ncc2cc(F)ccc21']; [0.9999974370002747, 0.999994158744812, 0.9999722242355347, 0.9999690055847168, 0.999843955039978, 0.9997758865356445]
+Cn1cnc(Nc2cc(Br)cn2C)c1; [None]; [None]; [0]
 Cn1cnc(Nc2ncn3c2CCCC3)c1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cn(C)cn2)cn1; ['CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(I)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(Br)cn1', 'CN(C)c1ccc(N)cn1', 'CN(C)c1ccc(Cl)cn1']; ['Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(I)c1', 'Cn1cnc(N)c1']; [0.9995846748352051, 0.9994498491287231, 0.9976418018341064, 0.9960705041885376, 0.9925991296768188, 0.979324460029602]
+Cc1cc(Nc2cn(C)cn2)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1n[nH]c2cc(Nc3cn(C)cn3)ccc12; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(I)ccc12', 'Cc1n[nH]c2cc(N)ccc12', 'Cc1n[nH]c2cc(F)ccc12']; ['Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; [0.9999979734420776, 0.9999840259552002, 0.9999683499336243, 0.9999561309814453, 0.9998533725738525, 0.9997178316116333]
+Cn1cnc(Nc2cccc(N3CCCC3=O)c2)c1; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1', 'Cn1cnc(N)c1']; ['Nc1cccc(N2CCCC2=O)c1', 'Nc1cccc(N2CCCC2=O)c1', 'O=C1CCCN1c1cccc(Br)c1', 'O=C1CCCN1c1cccc(Cl)c1']; [0.9994308948516846, 0.9906165599822998, 0.9801497459411621, 0.9307312965393066]
 Cn1cnc(NNC(=O)c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+Cn1cnc(Nc2cc3ccc(C(C)(C)O)cc3[nH]2)c1; [None]; [None]; [0]
+Cn1cnc(Nc2ccc3c(c2)c(Cl)nn3C)c1; [None]; [None]; [0]
+Cn1cnc(Nc2ccc(CCO)cc2)c1; ['Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1']; ['OCCc1ccc(I)cc1', 'Nc1ccc(CCO)cc1', 'OCCc1ccc(Br)cc1', 'Nc1ccc(CCO)cc1']; [0.9993188381195068, 0.9992766976356506, 0.9991101622581482, 0.999029278755188]
 CC(=O)N1CCC(n2cc(Nc3cn(C)cn3)cn2)CC1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(Nc3cn(C)cn3)cc2)n1C; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1Nc1cn(C)cn1; ['Cc1cc(N2CCOCC2)ccc1N', 'Cc1cc(N2CCOCC2)ccc1N']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1']; [0.9999960660934448, 0.9999828338623047]
 COc1cc(-c2cnn(C)c2)ccc1Nc1cn(C)cn1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1Nc1cn(C)cn1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2cn(C)cn2)c(Cl)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2cn(C)cn2)c(OC)c1; ['CNC(=O)c1ccc(Br)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1', 'CNC(=O)c1ccc(N)c(OC)c1']; ['Cn1cnc(N)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1']; [0.9867063760757446, 0.9839485883712769, 0.9791253209114075]
+Cc1ncc(-c2ccc(Nc3cn(C)cn3)cc2)n1C; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1Nc1cn(C)cn1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1Nc1cn(C)cn1; ['COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1N', 'COc1cc(S(C)(=O)=O)ccc1Br']; ['Cn1cnc(Cl)c1', 'Cn1cnc(Br)c1', 'Cn1cnc(N)c1']; [0.9998335838317871, 0.9998146295547485, 0.9982061386108398]
+CCNC(=O)c1ccc(Nc2cn(C)cn2)cc1; ['CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(Br)cc1', 'CCNC(=O)c1ccc(N)cc1', 'CCNC(=O)c1ccc(I)cc1']; ['Cn1cnc(Br)c1', 'Cn1cnc(N)c1', 'Cn1cnc(Cl)c1', 'Cn1cnc(N)c1']; [0.9927694797515869, 0.9914886951446533, 0.9898666143417358, 0.9651001691818237]
+CCNC(=O)Cc1ccc(Nc2cn(C)cn2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Cn1cnc(N)c1']; [0.9966357350349426]
+CNC(=O)c1ccc(C)c(Nc2cn(C)cn2)c1; ['CNC(=O)c1ccc(C)c(N)c1', 'CNC(=O)c1ccc(C)c(N)c1']; ['Cn1cnc(Br)c1', 'Cn1cnc(Cl)c1']; [0.9998635053634644, 0.9984703660011292]
+Cn1cnc(Nc2cc(S(C)(=O)=O)ccc2Cl)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Cn1cnc(N)c1']; [0.9991269111633301]
+CN(C)C(=O)c1ccc(Nc2cn(C)cn2)nc1; ['CN(C)C(=O)c1ccc(Cl)nc1', 'CN(C)C(=O)c1ccc(Br)nc1']; ['Cn1cnc(N)c1', 'Cn1cnc(N)c1']; [0.9993371963500977, 0.9953969717025757]
 Cn1cnc(Nc2cc(C(C)(C)O)n(C)n2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)Nc1cn(C)cn1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc(N)ccn1; ['CNC(=O)c1ccccc1B(O)O', 'CNC(=O)c1ccccc1B(O)O']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999161958694458, 0.9997985363006592]
+Cc1nnc(-c2ccccc2-c2cc(N)ccn2)[nH]1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1Nc1cn(C)cn1; [None]; [None]; [0]
+CCn1cc(-c2cc(N)ccn2)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999719262123108, 0.9999697208404541, 0.9995732307434082]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(N)ccn1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1B(O)O', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1Br']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999237656593323, 0.9996427297592163, 0.9912277460098267, 0.8504748344421387]
+CCOc1ccccc1-c1cc(N)ccn1; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1Br', 'CCOc1ccccc1Br']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999206066131592, 0.999919056892395, 0.9997842311859131, 0.9995972514152527, 0.9984301328659058, 0.9799887537956238, 0.9644087553024292]
+Nc1ccnc(-c2cccc(C(F)(F)F)c2)c1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Br)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999905824661255, 0.999967098236084, 0.9999319911003113, 0.9998793601989746, 0.9608033895492554, 0.8124862313270569]
+Nc1ccnc(-c2ccnc3ccccc23)c1; [None]; [None]; [0]
+Nc1ccnc(-c2ccccc2OC(F)(F)F)c1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1ccnc(Br)c1', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'Nc1ccnc(Cl)c1', 'FC(F)(F)Oc1ccccc1I', 'Nc1ccnc(O)c1', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br', 'FC(F)(F)Oc1ccccc1Cl']; ['Nc1ccnc(Br)c1', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ccnc(Br)c1', 'OB(O)c1ccccc1OC(F)(F)F', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999921321868896, 0.9999788999557495, 0.9999452233314514, 0.9997997283935547, 0.999733567237854, 0.999462366104126, 0.9987668395042419, 0.9985645413398743, 0.9968489408493042, 0.8811350464820862]
+CP(C)(=O)c1ccccc1-c1cc(N)ccn1; [None]; [None]; [0]
+Nc1ccnc(-c2cnn(Cc3ccccc3)c2)c1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999884366989136, 0.9999738931655884]
+Cn1cnc2ccc(-c3cc(N)ccn3)cc2c1=O; ['Cn1cnc2ccc(Br)cc2c1=O']; ['Nc1ccnc(Cl)c1']; [0.9769922494888306]
+COc1ccc(F)cc1[C@@H](C)c1cc(N)ccn1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cc(N)ccn1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br', 'NC(=O)c1ccccc1Br']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9990688562393188, 0.9986430406570435, 0.9972624182701111, 0.9888345003128052, 0.9885406494140625, 0.9853076934814453, 0.7523100972175598]
+Nc1ccnc(-c2cnn(CCO)c2)c1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OCCn1cc(B(O)O)cn1']; [0.999675452709198, 0.9996035099029541, 0.9958959817886353]
+Nc1ccnc(-c2ccccc2C(=O)[O-])c1; [None]; [None]; [0]
+Nc1ccnc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+Cc1ccc(-c2cc(N)ccn2)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(B(O)O)c(Br)c1', 'Cc1ccc(I)c(Br)c1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1']; [0.997647762298584, 0.8659353256225586, 0.7699505090713501]
+Nc1ccnc(-c2cccc(NC(=O)c3ccccc3)c2)c1; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999982714653015, 0.9999933242797852, 0.9999539256095886, 0.9998232126235962]
+Nc1ccnc(-c2cc(Cl)ccc2Cl)c1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Clc1ccc(Cl)c(Br)c1', 'Clc1ccc(Cl)c(Br)c1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'OB(O)c1cc(Cl)ccc1Cl', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9997880458831787, 0.9991468191146851, 0.9966596961021423, 0.9955493211746216, 0.9667801856994629, 0.9578083753585815, 0.7743468284606934]
+Nc1ccnc([C@@H](N)c2ccco2)c1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(N)ccn2)cs1; [None]; [None]; [0]
+COc1cnc(-c2cc(N)ccn2)nc1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc(N)ccn1; [None]; [None]; [0]
+Nc1ccnc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cc(N)ccn1; [None]; [None]; [0]
+Nc1ccnc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc(N)ccn2)s1; [None]; [None]; [0]
+Nc1ccnc(-c2c(Cl)cccc2Cl)c1; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Clc1cccc(Cl)c1Br', 'Nc1ccnc(O)c1', 'Clc1cccc(Cl)c1Br']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl', 'Nc1ccnc(Cl)c1', 'OB(O)c1c(Cl)cccc1Cl', 'Nc1ccnc(Br)c1']; [0.9987167119979858, 0.9930676221847534, 0.9911078214645386, 0.9860783815383911, 0.9803836345672607]
+Cc1ccc(Cl)c(-c2cc(N)ccn2)c1; ['Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(B(O)O)c1', 'Cc1ccc(Cl)c(I)c1', 'Cc1ccc(Cl)c(Br)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9982833862304688, 0.9981263875961304, 0.9964439868927002, 0.9964355230331421, 0.954230785369873, 0.8656148910522461, 0.8607618808746338]
+CNc1nc(C)c(-c2cc(N)ccn2)s1; [None]; [None]; [0]
+Nc1ccnc(-c2cccc(Br)c2)c1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(O)c1', 'Brc1cccc(I)c1', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'F[B-](F)(F)c1cccc(Br)c1', 'Clc1cccc(Br)c1', 'Brc1cccc(Br)c1', 'Brc1cccc(I)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'OB(O)c1cccc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccncc1']; [0.999951958656311, 0.9998655319213867, 0.999140739440918, 0.998039722442627, 0.997563362121582, 0.9973254799842834, 0.9955383539199829, 0.9369489550590515, 0.8827621936798096, 0.8741968870162964, 0.860511302947998, 0.7632462382316589]
+Nc1ccnc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2cnn3ncccc23)c1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12', 'Brc1cnn2ncccc12']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9997623562812805, 0.9997199773788452, 0.9938136339187622, 0.9856447577476501]
+Nc1ccnc(-c2ccnc(N)n2)c1; [None]; [None]; [0]
 Cc1c(-c2cc(N)ccn2)sc(=O)n1C; [None]; [None]; [0]
-Nc1ccnc(-c2cnn3ncccc23)c1; [None]; [None]; [0]
+Nc1ccnc(-c2ccc3ccccc3c2)c1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', None, 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', None, 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999904632568359, 0.9999319911003113, 0.999807596206665, 0.9990935325622559, 0, 0.8902355432510376, 0.8830909729003906]
+Nc1ccnc(-c2c[nH]nc2C(F)(F)F)c1; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C', 'FC(F)(F)c1n[nH]cc1Br', 'FC(F)(F)c1n[nH]cc1Br']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999550580978394, 0.9997426271438599, 0.9992812871932983, 0.9964059591293335]
+NC(=O)c1c(F)cccc1-c1cc(N)ccn1; ['NC(=O)c1c(F)cccc1Br']; ['Nc1ccnc(Cl)c1']; [0.9997876882553101]
+Nc1ccnc(-c2cncc3ccccc23)c1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Brc1cncc2ccccc12', 'Brc1cncc2ccccc12']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'OB(O)c1cncc2ccccc12', 'OB(O)c1cncc2ccccc12', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999969005584717, 0.999994158744812, 0.9999063014984131, 0.9997687339782715, 0.9966956377029419, 0.9952816963195801]
+Cn1cc(-c2ccc(-c3cc(N)ccn3)cc2)cn1; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(-c2ccc(Cl)cc2)c1', 'Nc1ccnc(Br)c1']; [1.0, 0.9999957084655762, 0.9920662641525269]
+Nc1ccnc(-c2cccc(CC(=O)[O-])c2)c1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(N)ccn3)ccc21; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999997615814209, 0.9999984502792358, 0.9999808669090271, 0.9998568892478943, 0.9767844676971436]
+CC(C)(C)c1cnc(Cc2cc(N)ccn2)o1; [None]; [None]; [0]
+Nc1ccnc(-c2ccc3c(N)[nH]nc3c2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2cccc(CO)c2)c1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', None]; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(B(O)O)c1', None]; [0.9998934268951416, 0.9993917942047119, 0.9786982536315918, 0.9652907848358154, 0]
+Nc1ccnc(-c2ccc(-c3cn[nH]c3)cc2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2cccc(O)c2)c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1']; [0.9992212057113647, 0.9989275932312012, 0.9975236654281616, 0.9960073232650757, 0.8135968446731567]
 CN1c2ccc(-c3cc(N)ccn3)cc2CS1(=O)=O; [None]; [None]; [0]
+CCCn1cnc(-c2cc(N)ccn2)n1; [None]; [None]; [0]
+Nc1ccnc(-c2csc3ncncc23)c1; ['Brc1csc2ncncc12', 'Brc1csc2ncncc12']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9978864192962646, 0.9478553533554077]
 COc1cc(-c2cc(N)ccn2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CSc1nc(-c2cc(N)ccn2)c[nH]1; [None]; [None]; [0]
+Nc1ccnc(-c2cc3ccccc3[nH]2)c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc(N)ccn2)c1; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9997481107711792, 0.9994192719459534]
 CC(C)n1cc(-c2cc(N)ccn2)nn1; [None]; [None]; [0]
+Nc1ccnc(-c2cncnc2N)c1; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; ['Nc1ncncc1Br', 'Nc1ncncc1Br']; [0.9933742880821228, 0.9879779815673828]
+CC(C)c1oncc1-c1cc(N)ccn1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc(N)ccn2)cc1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999970197677612, 0.9999922513961792]
+CC(=O)Nc1cccc(-c2cc(N)ccn2)c1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999822378158569, 0.9999674558639526, 0.9996871948242188, 0.9996775984764099]
+Nc1ccnc(-c2ccc(F)cc2C(F)(F)F)c1; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(I)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Br)c(C(F)(F)F)c1', 'Fc1ccc(Cl)c(C(F)(F)F)c1']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9998300671577454, 0.9998064041137695, 0.9994016885757446, 0.9990891218185425, 0.9965740442276001, 0.9820508360862732, 0.9218723773956299, 0.9078888297080994]
+CCNc1nc2ccc(-c3cc(N)ccn3)cc2s1; [None]; [None]; [0]
+COc1ccc(-c2cc(N)ccn2)cc1Cl; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(Br)cc1Cl']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999975562095642, 0.9999908208847046, 0.9999003410339355, 0.9992032051086426, 0.9991075992584229, 0.9989686012268066, 0.9854910373687744, 0.9299458861351013, 0.8871976137161255]
+Nc1ccnc(Cc2c(F)cccc2F)c1; [None]; [None]; [0]
+CCCn1cc(-c2cc(N)ccn2)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999871850013733, 0.9999866485595703, 0.9998495578765869]
+Cn1cc(-c2cc(N)ccn2)c2ccccc21; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9998387098312378, 0.9995948076248169]
+Nc1ccnc(-c2cnn3ccccc23)c1; ['Nc1ccnc(Br)c1', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Ic1cnn2ccccc12', 'Nc1ccnc(Cl)c1', 'Brc1cnn2ccccc12', 'Brc1cnn2ccccc12']; ['OB(O)c1cnn2ccccc12', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'OB(O)c1cnn2ccccc12', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999318718910217, 0.9999251961708069, 0.9998688697814941, 0.9997915625572205, 0.9995931386947632, 0.9325988292694092, 0.8450090885162354]
+CC[C@H](CO)c1cc(N)ccn1; [None]; [None]; [0]
+Nc1ccnc(-c2cc[nH]c(=O)c2)c1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9998049736022949, 0.9987534284591675]
+Nc1ccnc(-c2cccc3c2C(=O)CC3)c1; ['Nc1ccnc(Cl)c1']; ['O=C1CCc2cccc(Br)c21']; [0.9517637491226196]
+C[S@](=O)c1ccc(-c2cc(N)ccn2)cc1; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999899864196777, 0.9998184442520142, 0.9992840886116028]
 Nc1ccnc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Cc2cc(N)ccn2)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
+Nc1ccnc(-c2cc3c(=O)[nH]ccc3o2)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc(N)ccn2)c1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999979734420776, 0.9999961853027344, 0.9999834299087524, 0.9999006986618042, 0.9450695514678955]
+CCNS(=O)(=O)c1ccccc1-c1cc(N)ccn1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(N)ccn2)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(I)cc1', None, 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(Br)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1', None, 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999995231628418, 0.9999985694885254, 0.9999948740005493, 0.9999828338623047, 0.9995653033256531, 0.9987772107124329, 0, 0.9760436415672302, 0.7899736166000366]
+CN(c1ncccc1Cc1cc(N)ccn1)S(C)(=O)=O; [None]; [None]; [0]
 Nc1ccnc(-c2cc3c(=O)[nH]cc(Br)c3s2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2cnc3[nH]ccc3c2)c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Brc1cnc2[nH]ccc2c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Nc1ccnc(Br)c1']; [0.9999995231628418, 0.9999974966049194, 0.9999723434448242, 0.9995982646942139, 0.9953157305717468]
+COc1cccc(F)c1-c1cc(N)ccn1; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1']; [0.999998152256012, 0.9999953508377075, 0.9999772310256958, 0.9999188184738159, 0.9998255968093872, 0.9977244138717651, 0.9545912742614746]
+Nc1ccnc(-c2c[nH]c3cnccc23)c1; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Brc1c[nH]c2cnccc12', 'Brc1c[nH]c2cnccc12']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9922530651092529, 0.9854451417922974, 0.9752049446105957, 0.9064394235610962]
+Nc1ccnc([C@H](CO)c2ccccc2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.999995231628418, 0.9999891519546509, 0.9998435974121094, 0.9996411800384521]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999995231628418, 0.9999984502792358, 0.9999682903289795, 0.9998906850814819]
+Nc1ccnc(-c2ccc(N3CCOCC3)cc2)c1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1ccnc(Br)c1', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Nc1ccnc(Cl)c1', 'Ic1ccc(N2CCOCC2)cc1', 'C1COCCN1', 'C1COCCN1', 'Brc1ccc(N2CCOCC2)cc1', 'Brc1ccc(N2CCOCC2)cc1']; ['Nc1ccnc(Br)c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(-c2ccc(F)cc2)c1', 'Nc1ccnc(-c2ccc(Cl)cc2)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [1.0, 0.9999998807907104, 0.9999997615814209, 0.9999980330467224, 0.9972181916236877, 0.9963823556900024, 0.9957709908485413, 0.9757093191146851, 0.9548294544219971]
+CS(=O)(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9999997615814209, 0.9999992251396179, 0.999982476234436, 0.9999626874923706, 0.8421856164932251]
+Nc1ccnc(-c2ccc(-n3cncn3)cc2)c1; ['Nc1ccnc(-c2ccc(F)cc2)c1']; ['c1nc[nH]n1']; [0.9994449615478516]
+CC1(c2cc(N)ccn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cc(N)ccn1; [None]; [None]; [0]
+Nc1ccnc([C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2c(F)cccc2Cl)c1; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Fc1cccc(Cl)c1Br', 'Nc1ccnc(O)c1', 'Fc1cccc(Cl)c1Br', 'Fc1cccc(Cl)c1I', 'Fc1cccc(Cl)c1Cl']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1c(F)cccc1Cl', 'OB(O)c1c(F)cccc1Cl', 'Nc1ccnc(Cl)c1', 'OB(O)c1c(F)cccc1Cl', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9999886751174927, 0.9999780654907227, 0.9998751878738403, 0.9983712434768677, 0.9961146116256714, 0.9955865144729614, 0.9942033290863037, 0.9880366325378418, 0.7588629126548767]
+Cc1cc(-c2cc(N)ccn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Nc1ccnc(-c2ccc(C(=O)c3ccccc3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1']; [0.999984860420227, 0.9998912811279297, 0.9997658133506775, 0.9974403381347656, 0.9964325428009033, 0.9813896417617798, 0.905558705329895]
+COc1ccc(-c2cc(N)ccn2)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(I)c(OC)c1', 'COc1ccc(Br)c(OC)c1', None]; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', None]; [0.9998157620429993, 0.9996961951255798, 0.9996656179428101, 0.998570442199707, 0.9985269904136658, 0.9961261749267578, 0.9924504160881042, 0.9563338160514832, 0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(N)ccn2)CC1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc(N)ccn2)[nH]1; [None]; [None]; [0]
+Nc1ccnc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc(N)ccn1; [None]; [None]; [0]
 Nc1ccnc(-c2ccn(CC[NH3+])n2)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cc(N)ccn3)nc2NC1=O; [None]; [None]; [0]
+Nc1ccnc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2nnc(N)s2)c1; [None]; [None]; [0]
+CCc1cc(-c2cc(N)ccn2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc(N)ccn1; [None]; [None]; [0]
+Nc1ccnc(-c2nc3ccccc3s2)c1; ['Nc1ccnc(Br)c1']; ['c1ccc2scnc2c1']; [0.9980663061141968]
+CC(C)(O)c1cccc(-c2cc(N)ccn2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)ccn2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(N)ccn2)nc(N)n1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cc(N)ccn3)nc2NC1=O; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(N)ccn2)CC1; [None]; [None]; [0]
+Nc1ccnc(-c2cccc3ccsc23)c1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Brc1cccc2ccsc12', 'Nc1ccnc(O)c1', 'Brc1cccc2ccsc12']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12', 'Nc1ccnc(Cl)c1', 'OB(O)c1cccc2ccsc12', 'Nc1ccnc(Br)c1']; [0.9999979734420776, 0.9999932050704956, 0.9997824430465698, 0.999602198600769, 0.9905881881713867, 0.9796395301818848, 0.8406004905700684]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(N)ccn3)c2)cc1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc3nnsc23)c1; [None]; [None]; [0]
+Nc1ccnc(-c2cccc3nnsc23)c1; ['Brc1cccc2nnsc12']; ['Nc1ccnc(Cl)c1']; [0.998964786529541]
+Nc1ccnc(-c2cncc(N)n2)c1; [None]; [None]; [0]
+Nc1ccnc(CCCNC(=O)c2cccs2)c1; [None]; [None]; [0]
 Nc1ccnc(CCCNC(=O)C2CCC2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc(N)ccn2)n1; [None]; [None]; [0]
-Nc1ccnc(-c2cccc(NC(=O)C3CCNCC3)c2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2c[nH]c3cccnc23)c1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9974806308746338, 0.9904340505599976]
+COc1ccc(C#N)cc1-c1cc(N)ccn1; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1I', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1I']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccncc1']; [0.9999970197677612, 0.9999916553497314, 0.999987006187439, 0.9999778270721436, 0.999919593334198, 0.9999058842658997, 0.9986268877983093, 0.9402621984481812, 0.8132548332214355]
+CC(=O)Nc1ncc(-c2cc(N)ccn2)[nH]1; [None]; [None]; [0]
+Nc1ccnc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1Cc1cc(N)ccn1; [None]; [None]; [0]
+Nc1ccnc(-c2cn(CCO)cn2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cc(N)ccn1; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1B(O)O', 'COc1ncccc1Br', 'COc1ncccc1Br']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9998288154602051, 0.9994686841964722, 0.9986370801925659, 0.9983583092689514, 0.9183399677276611, 0.9005531072616577]
+CN(C)S(=O)(=O)c1cccc(-c2cc(N)ccn2)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1']; [1.0, 0.9999997615814209, 0.9999735951423645, 0.9998669624328613, 0.9933540225028992]
+C[C@@]1(O)CC[C@H](c2cc(N)ccn2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(N)ccn2)c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cc(N)ccn2)cc1; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9999980926513672, 0.9999946355819702, 0.9360423684120178]
+CCOc1ccc(-c2cc(N)ccn2)cc1; ['CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(Br)cc1', 'CCO']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(-c2ccc(F)cc2)c1']; [0.9999885559082031, 0.9999791383743286, 0.9999285936355591, 0.9997283220291138, 0.999345064163208, 0.8900231122970581, 0.7709797620773315]
+CN(C)c1cc(-c2cc(N)ccn2)cnn1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cc(N)ccn3)c2c1; ['Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2nc[nH]c2c1', 'Cc1ccc2[nH]cnc2c1']; ['Nc1ccnc(F)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9917381405830383, 0.991111695766449, 0.9894288778305054, 0.984757661819458, 0.9654269814491272]
+CS(=O)(=O)c1cccc(-c2cc(N)ccn2)c1; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'CS(=O)(=O)c1cccc(Br)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [1.0, 0.9999991655349731, 0.9999516606330872, 0.9999349117279053, 0.9990618228912354]
+COc1cc(-c2cc(N)ccn2)cc(OC)c1OC; ['COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC', 'COc1cc(Br)cc(OC)c1OC']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.999923586845398, 0.9997056722640991, 0.9995702505111694, 0.9986984729766846, 0.9612370729446411, 0.8859196901321411]
+Nc1ccnc(-c2nc3ccccc3[nH]2)c1; ['Nc1ccccc1N']; ['Nc1ccnc(C(=O)O)c1']; [0.99976646900177]
+COc1ccc(-c2cc(N)ccn2)cc1; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', None, 'COc1ccc(Br)cc1', 'CO']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1', None, 'Nc1ccnc(Cl)c1', 'Nc1ccnc(-c2ccc(F)cc2)c1']; [0.9999938011169434, 0.9999819993972778, 0.9999654293060303, 0.9998365044593811, 0.9991368055343628, 0.975907564163208, 0, 0.892167329788208, 0.8829314708709717]
+Cc1cc(Nc2cc(N)ccn2)sn1; ['Cc1cc(N)sn1', 'Cc1cc(N)sn1', 'Cc1cc(N)sn1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(F)c1']; [0.9969872236251831, 0.9889988899230957, 0.9732146859169006]
 Cc1nc(C(C)(C)O)sc1-c1cc(N)ccn1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(N)ccn3)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(Br)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9999786615371704, 0.9999737739562988, 0.9998679757118225, 0.9995912313461304, 0.8260664939880371]
+Nc1ccnc(-c2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc(N)ccn2)c1; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9982423782348633, 0.9967812299728394]
+Nc1ccnc(Nc2ncccn2)c1; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(F)c1']; ['Nc1ncccn1', 'Nc1ncccn1', 'Nc1ncccn1']; [0.9851946830749512, 0.9428372383117676, 0.9328988194465637]
 N#Cc1cccc(Cn2cc(-c3cc(N)ccn3)cn2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2nccc3ccccc23)c1; [None]; [None]; [0]
+Nc1ccnc(-c2cccc(NC(=O)C3CC3)c2)c1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(N)ccn3)cc2)CC1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cc(N)ccn2)cc1; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999861717224121, 0.9999833106994629, 0.9999037981033325, 0.9998843669891357]
+Nc1ccnc(-c2ccc(OCCO)cc2)c1; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(-c2ccc(F)cc2)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OCCOc1ccc(B(O)O)cc1', 'OCCOc1ccc(B(O)O)cc1', 'OCCO']; [0.9999953508377075, 0.9999788403511047, 0.9999614357948303, 0.9990886449813843, 0.7802493572235107]
+Nc1ccnc(-c2cccc(C3CCNCC3)c2)c1; ['Brc1cccc(C2CCNCC2)c1']; ['Nc1ccnc(Br)c1']; [0.8635458946228027]
+Nc1ccnc(-c2ccc(C(=O)Nc3ccccc3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'O=C(Nc1ccccc1)c1ccc(Br)cc1']; [0.9999997019767761, 0.9999986290931702, 0.9999948740005493, 0.9999293684959412, 0.9283508658409119]
+Nc1ccnc(-c2ccc(C(=O)N3CCOCC3)cc2)c1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 0.9999998807907104, 0.9999992847442627, 0.9999954700469971, 0.8033435344696045]
+Nc1ccnc(Nc2ccncn2)c1; ['Clc1ccncn1', 'Nc1ccnc(Br)c1']; ['Nc1ccnc(N)c1', 'Nc1ccncn1']; [0.9545809030532837, 0.8448553085327148]
+Nc1ccnc(-c2ccc(C(F)(F)F)cc2)c1; ['CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1ccnc(Br)c1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'FC(F)(F)c1ccc(I)cc1', 'FC(F)(F)c1ccc(Br)cc1']; ['Nc1ccnc(Br)c1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9999973773956299, 0.9999890923500061, 0.9999881386756897, 0.9999653697013855, 0.9998135566711426, 0.9961427450180054, 0.8695831894874573]
+C[C@H](O)COc1ccc(-c2cc(N)ccn2)cc1; ['C[C@H](O)CO', 'C[C@H](O)CO']; ['Nc1ccnc(-c2ccc(Cl)cc2)c1', 'Nc1ccnc(-c2ccc(F)cc2)c1']; [0.7922908067703247, 0.7563607692718506]
+Nc1ccnc(-c2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999995231628418, 0.9999992847442627, 0.9999618530273438, 0.9999576807022095]
+CN(C)c1ccc(-c2cc(N)ccn2)cc1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(Br)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999987483024597, 0.9999946355819702, 0.999988317489624, 0.9998884797096252, 0.999008297920227, 0.9772676825523376, 0.9592645764350891, 0.9336836338043213]
+C[C@@H](O)COc1ccc(-c2cc(N)ccn2)cc1; ['C[C@@H](O)CO', 'C[C@@H](O)CO']; ['Nc1ccnc(-c2ccc(Cl)cc2)c1', 'Nc1ccnc(-c2ccc(F)cc2)c1']; [0.7922908067703247, 0.7563607692718506]
+Nc1ccnc(-c2ccc3c(c2)CS(=O)(=O)C3)c1; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9856364727020264, 0.8748328685760498]
+CCNS(=O)(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Cl)c1']; [0.9993395805358887]
+Nc1ccnc(-c2ccc(Br)cc2)c1; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Brc1ccc(I)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'OB(O)c1ccc(Br)cc1', 'Nc1ccnc(Cl)c1']; [0.9999760985374451, 0.999975323677063, 0.9991243481636047, 0.9991136193275452, 0.9965202808380127, 0.9931670427322388]
+CS(=O)(=O)N1CCC(c2cc(N)ccn2)CC1; [None]; [None]; [0]
 CC(C)c1cc(-c2cc(N)ccn2)nc(N)n1; [None]; [None]; [0]
-Nc1ccnc(-c2ccc3c(c2)CS(=O)(=O)C3)c1; [None]; [None]; [0]
+Nc1ccnc([C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cc(N)ccn3)c2)CC1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(N)ccn2)cc1Cl; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999933242797852, 0.999993085861206, 0.9754370450973511, 0.9048247337341309]
+Cc1c(C(=O)[O-])cccc1-c1cc(N)ccn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(N)ccn2)c(C)c1; ['CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1']; [0.999986469745636, 0.9999649524688721, 0.999946653842926, 0.9998875856399536]
+CCN(CC)C(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999998807907104, 0.9999975562095642, 0.9999804496765137, 0.9998148679733276]
 CCCOc1ccc(-c2cc(N)ccn2)nc1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
+Nc1ccnc(-c2ccccc2-n2cccn2)c1; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1ccnc(Br)c1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Nc1ccnc(Cl)c1', 'Brc1ccccc1-n1cccn1', 'Brc1ccccc1-n1cccn1']; ['Nc1ccnc(Br)c1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccccc1-n1cccn1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9998798966407776, 0.9996875524520874, 0.9988425970077515, 0.9974004030227661, 0.9730278253555298, 0.9654333591461182]
+COc1ccc(Cl)cc1-c1cc(N)ccn1; ['COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1I', 'COc1ccc(Cl)cc1Br']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9998562335968018, 0.9998553395271301, 0.9997912049293518, 0.9997861385345459, 0.9996191263198853, 0.9980378746986389, 0.992949366569519, 0.9484269618988037]
+Nc1ccnc(-c2ccc3c(c2)CCO3)c1; ['CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ccnc(Br)c1', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'Nc1ccnc(Cl)c1', 'Brc1ccc2c(c1)CCO2']; ['Nc1ccnc(Br)c1', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccc2c(c1)CCO2', 'Nc1ccnc(Br)c1']; [0.999993085861206, 0.9999576807022095, 0.999893307685852, 0.9997156262397766, 0.9823929071426392]
+Nc1ccnc(-c2c[nH]c3ccccc23)c1; ['CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1ccnc(Br)c1', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Nc1ccnc(Cl)c1', 'Brc1c[nH]c2ccccc12', 'Brc1c[nH]c2ccccc12']; ['Nc1ccnc(Br)c1', 'OB(O)c1c[nH]c2ccccc12', 'Nc1ccnc(Cl)c1', 'OB(O)c1c[nH]c2ccccc12', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9961737990379333, 0.9943560361862183, 0.9930562973022461, 0.9903386831283569, 0.8408697843551636, 0.8043152689933777]
 CC(C)c1ccc2nc(-c3cc(N)ccn3)[nH]c2c1; [None]; [None]; [0]
-Nc1ccnc(Cc2nc3c(F)c(F)ccc3[nH]2)c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cc(N)ccn2)cc1Cl; [None]; [None]; [0]
+Nc1ccnc(-c2ccn3nccc3n2)c1; [None]; [None]; [0]
+COc1cc(-c2cc(N)ccn2)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999346733093262, 0.9998359680175781, 0.991288423538208, 0.9562432169914246]
+Nc1ccnc(-c2cnc3ccccc3c2)c1; ['CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Brc1cnc2ccccc2c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1cnc2ccccc2c1', 'OB(O)c1cnc2ccccc2c1', 'Nc1ccnc(Br)c1']; [0.9999974966049194, 0.9999886751174927, 0.9997777938842773, 0.9988877773284912, 0.9914060831069946]
+Nc1ccnc(-c2cccc3c2OCO3)c1; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Nc1ccnc(Br)c1', 'Ic1cccc2c1OCO2', 'Nc1ccnc(Cl)c1', 'Brc1cccc2c1OCO2', 'Ic1cccc2c1OCO2', 'Nc1ccnc(O)c1', 'Brc1cccc2c1OCO2']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1cccc2c1OCO2', 'Nc1ccnc(Br)c1', 'OB(O)c1cccc2c1OCO2', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1cccc2c1OCO2', 'Nc1ccnc(Br)c1']; [0.9999627470970154, 0.9998904466629028, 0.9995875358581543, 0.9992941617965698, 0.9992857575416565, 0.9972031116485596, 0.9962972402572632, 0.9875808954238892, 0.9503610134124756]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(N)ccn2)cn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'CC(C)(C)c1ccc(Br)cn1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999985694885254, 0.999995768070221, 0.999868631362915, 0.9996745586395264, 0.9302501678466797]
+CN(C)C(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9999996423721313, 0.9999985694885254, 0.9999791383743286, 0.9999126195907593, 0.8874306678771973]
+Nc1ccnc(-c2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cc(N)ccn2)c1; ['COc1cccc(C(=O)O)c1', 'COc1cccc(C(N)=O)c1', 'COc1cccc(C(=O)Cl)c1']; ['Nc1ccnc(N)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(N)c1']; [0.9758577346801758, 0.9718438386917114, 0.8467150330543518]
+CC1(COc2cc(N)ccn2)COC1; ['CC1(CO)COC1', 'CC1(CO)COC1', 'CC1(CCl)COC1', 'CC1(CI)COC1', 'CC1(CO)COC1', 'CC1(CO)COC1', 'Cc1ccc(S(=O)(=O)OCC2(C)COC2)cc1', 'CC1(CBr)COC1']; ['Nc1ccnc(F)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(O)c1']; [0.9991106390953064, 0.9983883500099182, 0.9978859424591064, 0.9918041229248047, 0.9897054433822632, 0.9870076179504395, 0.9842978715896606, 0.9791948199272156]
+Nc1ccnc(-c2scc3c2OCCO3)c1; [None]; [None]; [0]
+CSc1ccc(-c2cc(N)ccn2)cc1; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(I)cc1', 'CSc1ccc(Br)cc1', None]; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', None]; [0.9999912977218628, 0.9999855756759644, 0.9998831152915955, 0.9996871948242188, 0.998222827911377, 0.9911796450614929, 0.8478797078132629, 0]
+Nc1ccnc(-c2csc(N)n2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2cc3ccccc3s2)c1; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', None]; ['OB(O)c1cc2ccccc2s1', 'OB(O)c1cc2ccccc2s1', None]; [0.9999977350234985, 0.9999693036079407, 0]
+CCN1CCN(Cc2ccc(-c3cc(N)ccn3)cc2)CC1; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9999921321868896, 0.9999863505363464, 0.9196203947067261]
+Nc1ccnc(-c2ccn(-c3cccc(Cl)c3)n2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2ccc(F)cc2Cl)c1; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Fc1ccc(Br)c(Cl)c1', 'Fc1ccc(Br)c(Cl)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccc(F)cc1Cl', 'OB(O)c1ccc(F)cc1Cl', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999700784683228, 0.9999014139175415, 0.9997817277908325, 0.998820424079895, 0.8884191513061523, 0.7911646366119385]
+COc1ccc(-c2cc(N)ccn2)cc1OC; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.999988317489624, 0.9999159574508667, 0.9996455907821655, 0.9963819980621338, 0.976600706577301, 0.9101067781448364, 0.798154354095459]
+Nc1ccnc(-c2ccc3c(c2)CCC(=O)N3)c1; ['CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C', 'CC1(C)OB(c2ccc3c(c2)CCC(=O)N3)OC1(C)C']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999414086341858, 0.9995638728141785]
+COc1ccc(CNc2cc(N)ccn2)cc1; ['COc1ccc(CN)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(CBr)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CO)cc1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(F)c1', 'Nc1ccnc(N)c1', 'Nc1ccnc(N)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(N)c1']; [0.9828665852546692, 0.9815926551818848, 0.9712679386138916, 0.9615951776504517, 0.9467536211013794, 0.870522141456604]
+CCc1ccc(-c2cc(N)ccn2)cc1; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(Br)cc1', None, 'CCc1ccc(Br)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', None, 'Nc1ccnc(Br)c1']; [0.9999986290931702, 0.9999948740005493, 0.99992835521698, 0.9997292757034302, 0.9984849691390991, 0.9946768879890442, 0.9908422231674194, 0.9765162467956543, 0, 0.8000203371047974]
+Cc1cc(-c2cc(N)ccn2)nc(N)n1; [None]; [None]; [0]
+Nc1ccnc(-c2ccc(Cl)cc2Cl)c1; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1ccnc(Br)c1', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1', 'Clc1ccc(I)c(Cl)c1', 'Clc1ccc(I)c(Cl)c1']; ['Nc1ccnc(Br)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccc(Cl)cc1Cl', 'OB(O)c1ccc(Cl)cc1Cl', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.99991774559021, 0.9998606443405151, 0.9998216032981873, 0.9992092847824097, 0.9991728663444519, 0.9813547730445862, 0.8731033205986023]
 Nc1ccnc(NC2CN(C(=O)C3CC3)C2)c1; [None]; [None]; [0]
-Nc1ccnc(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
+Nc1ccnc(-c2ncc(Br)cn2)c1; [None]; [None]; [0]
+COc1cc(-c2cc(N)ccn2)ccc1N1CCOCC1; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'COc1cc(Br)ccc1N1CCOCC1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999946355819702, 0.9999710321426392, 0.9268901348114014]
+Nc1ccnc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cc(N)ccn3)ccc2O1; [None]; [None]; [0]
+Cn1cc(-c2cc(N)ccn2)c(C(F)(F)F)n1; ['Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999922513961792, 0.999976634979248, 0.9999691843986511, 0.9998642206192017]
+Nc1ccnc(-c2cccc3ccc(O)cc23)c1; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999513626098633, 0.9999037981033325]
+COc1ccc2cccc(-c3cc(N)ccn3)c2c1; ['COc1ccc2cccc(Br)c2c1', 'COc1ccc2cccc(Br)c2c1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9830684661865234, 0.9309629201889038]
+Nc1ccnc(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
+COc1cc(-c2cc(N)ccn2)ccc1Cl; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999990463256836, 0.999991774559021, 0.9999148845672607, 0.9996728301048279]
+Cc1nc(Nc2cc(N)ccn2)sc1C; ['Cc1nc(N)sc1C', 'Cc1nc(N)sc1C', 'Cc1nc(N)sc1C', 'Cc1nc(Br)sc1C', 'Cc1nc(Cl)sc1C']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(F)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(N)c1', 'Nc1ccnc(N)c1']; [0.9997199773788452, 0.9951592683792114, 0.992591142654419, 0.9912399649620056, 0.9687042832374573]
+Cc1cc(Nc2cc(N)ccn2)nn1C; ['Cc1cc(N)nn1C', 'Cc1cc(N)nn1C', 'Cc1cc(Br)nn1C', 'Cc1cc(N)nn1C', 'Cc1cc(Cl)nn1C']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(F)c1', 'Nc1ccnc(N)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(N)c1']; [0.9997032880783081, 0.9994186162948608, 0.995947003364563, 0.9945107698440552, 0.9749338626861572]
+Cc1csc2c(-c3cc(N)ccn3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999968409538269, 0.9999905228614807, 0.999977707862854, 0.9998106956481934]
+COc1cc(F)c(-c2cc(N)ccn2)cc1OC; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1']; [0.9999830722808838, 0.9999419450759888, 0.9999191761016846, 0.9998900890350342, 0.9988100528717041, 0.9071179628372192]
+COc1cc(-c2cc(N)ccn2)c(OC)cc1Br; ['COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(I)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1cc(Br)c(OC)cc1Br']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(O)c1', 'Nc1ccnc(Cl)c1']; [0.9998806715011597, 0.9974979162216187, 0.9950668811798096, 0.9943720698356628, 0.9352867603302002]
+Nc1ccnc(-c2ncc(Cl)cn2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cc(N)ccn2)cc1; [None]; [None]; [0]
+Nc1ccnc(-c2cc(N)nc3[nH]ccc23)c1; ['Nc1cc(Br)c2cc[nH]c2n1', 'Nc1cc(Br)c2cc[nH]c2n1']; ['Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9581576585769653, 0.9572271108627319]
+Nc1ccnc(NC(=O)c2ccco2)c1; ['Nc1ccnc(N)c1', 'Nc1ccnc(N)c1']; ['O=C(O)c1ccco1', 'O=C(Cl)c1ccco1']; [0.9296931028366089, 0.8563354015350342]
+CCNC(=O)c1ccc(-c2cc(N)ccn2)nc1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(N)ccn2)c1; ['COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(Br)cc(OC)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9999139904975891, 0.9998226761817932, 0.9997422099113464, 0.9996823072433472, 0.9459482431411743]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
 Nc1ccnc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)c1; [None]; [None]; [0]
+Nc1ccnc(Cc2ccc(S(=O)(=O)CCO)cc2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cc(N)ccn2)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1']; ['Nc1ccnc(N)c1', 'Nc1ccnc(N)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(N)c1']; [0.9963481426239014, 0.9960083365440369, 0.993182897567749, 0.9905107021331787]
+CO[C@@H]1CC[C@@H](c2cc(N)ccn2)CC1; [None]; [None]; [0]
+COc1ccc2oc(-c3cc(N)ccn3)cc2c1; ['COc1ccc2oc(B(O)O)cc2c1', 'COc1ccc2oc(B(O)O)cc2c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9996311068534851, 0.9992064237594604]
+Nc1ccnc(-c2ccc3cn[nH]c3c2)c1; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Brc1ccc2cn[nH]c2c1', 'Brc1ccc2cn[nH]c2c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.999985933303833, 0.9999802112579346, 0.9999085664749146, 0.9998458623886108, 0.9823269248008728, 0.9652838706970215]
+CCNC(=O)N1CCC(c2cc(N)ccn2)CC1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc(N)ccn1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cc(N)ccn2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cc(N)ccn3)[nH]c2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc(N)ccn2)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cc(N)ccn1; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1', 'CC(C)c1nn(C)cc1Br']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1']; [0.9998742341995239, 0.9998020529747009, 0.8895834684371948]
+C[NH+](C)Cc1ccc(-c2cc(N)ccn2)cc1; [None]; [None]; [0]
+Nc1ccnc(-c2cc3ccccc3o2)c1; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'CCCC[Sn](CCCC)(CCCC)c1cc2ccccc2o1']; ['OB(O)c1cc2ccccc2o1', 'OB(O)c1cc2ccccc2o1', 'Nc1ccnc(Cl)c1']; [0.9999243021011353, 0.999280571937561, 0.9987350702285767]
+COc1ccc2nc(-c3cc(N)ccn3)[nH]c2c1; ['COc1ccc(N)c(N)c1']; ['Nc1ccnc(C(=O)O)c1']; [0.9999311566352844]
+COc1ccc(F)c(C(=O)Nc2cc(N)ccn2)c1; ['COc1ccc(F)c(C(=O)O)c1', 'COC(=O)c1cc(OC)ccc1F', 'COc1ccc(F)c(C(N)=O)c1']; ['Nc1ccnc(N)c1', 'Nc1ccnc(N)c1', 'Nc1ccnc(Cl)c1']; [0.9898076057434082, 0.9755473136901855, 0.9664379358291626]
+Cn1cc(Br)cc1-c1cc(N)ccn1; [None]; [None]; [0]
+Nc1ccnc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
+Nc1ccnc(-c2ccc(OC(F)(F)F)cc2)c1; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'Nc1ccnc(-c2ccc(F)cc2)c1', 'FC(F)(F)Oc1ccc(I)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', '[O-]C(F)(F)F', 'Nc1ccncc1']; [1.0, 0.9999995231628418, 0.999999463558197, 0.999997615814209, 0.999760627746582, 0.9992012977600098, 0.9551447629928589, 0.7849721908569336]
+CN(C)c1ccc(-c2cc(N)ccn2)cn1; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(Br)cn1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999923706054688, 0.999985933303833, 0.9998664855957031, 0.9998291730880737, 0.8683773279190063]
 Nc1ccnc(-c2ncn3c2CCCC3)c1; [None]; [None]; [0]
+Cc1cc(-c2cc(N)ccn2)cc(C)c1OCCO; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cc(N)ccn3)cn2)CC1; ['CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1', 'CC(=O)N1CCC(n2cc(B3OC(C)(C)C(C)(C)O3)cn2)CC1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999836683273315, 0.9999134540557861]
+Cc1n[nH]c2cc(-c3cc(N)ccn3)ccc12; ['Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(Br)ccc12', 'Cc1n[nH]c2cc(Br)ccc12']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1']; [0.9999996423721313, 0.999999463558197, 0.9999969005584717, 0.9999892711639404, 0.9991533756256104, 0.9972571134567261]
+CCc1cccc(-c2cc(N)ccn2)n1; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cc(N)ccn3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3cc(N)ccn3)cn2)CC1; [None]; [None]; [0]
-Nc1ccnc(NC(=O)c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(-c3cc(N)ccn3)cc2)n1C; [None]; [None]; [0]
+Nc1ccnc(NC(=O)c2cccc(OC(F)(F)F)c2)c1; ['Nc1ccnc(N)c1', 'Nc1ccnc(N)c1', 'NC(=O)c1cccc(OC(F)(F)F)c1', 'COC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(N)c1']; [0.9999163746833801, 0.9994721412658691, 0.9973771572113037, 0.9940392971038818]
+Nc1ccnc(-c2cccc(N3CCCC3=O)c2)c1; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Nc1ccnc(Br)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'O=C1CCCN1c1cccc(Br)c1']; [0.9999760389328003, 0.9996628165245056, 0.8926429748535156]
+CC(C)(O)c1ccc2cc(-c3cc(N)ccn3)[nH]c2c1; [None]; [None]; [0]
+Nc1ccnc(-c2ccc(CCO)cc2)c1; ['CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(CCO)cc2)OC1(C)C', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'OCCc1ccc(B(O)O)cc1', 'OCCc1ccc(B(O)O)cc1']; [0.999976634979248, 0.9999054670333862, 0.9993146657943726, 0.9938649535179138]
+Cc1ncc(-c2ccc(-c3cc(N)ccn3)cc2)n1C; ['Cc1ncc(C(=O)O)n1C']; ['Nc1ccnc(-c2ccc(Cl)cc2)c1']; [0.9595121145248413]
+CNC(=O)c1ccc(-c2cc(N)ccn2)c(OC)c1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9997286796569824, 0.998148500919342]
+COc1cc(S(C)(=O)=O)ccc1-c1cc(N)ccn1; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Nc1ccnc(Cl)c1']; [0.9603625535964966]
+Cc1cc(N2CCOCC2)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)ccn2)cc1; ['CCNC(=O)c1ccc(B(O)O)cc1', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1']; [0.9999773502349854, 0.999864935874939]
+CN(C)C(=O)c1ccc(-c2cc(N)ccn2)c(Cl)c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc(N)ccn2)cc1; ['CCNC(=O)Cc1ccc(Br)cc1']; ['Nc1ccnc(Br)c1']; [0.8581812381744385]
+Cc1cc(Nc2cc(N)ccn2)ncc1F; ['Cc1cc(Br)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F', 'Cc1cc(Cl)ncc1F', 'Cc1cc(N)ncc1F']; ['Nc1ccnc(N)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(N)c1', 'Nc1ccnc(F)c1']; [0.9945657253265381, 0.9873011112213135, 0.9857921600341797, 0.9416111707687378, 0.936269998550415]
+CN(C)C(=O)c1ccc(-c2cc(N)ccn2)nc1; [None]; [None]; [0]
+Nc1ccnc(Nc2ccccn2)c1; [None, None, 'Clc1ccccn1', 'Nc1ccccn1']; [None, None, 'Nc1ccnc(N)c1', 'Nc1ccnc(Br)c1']; [0, 0, 0.8689876794815063, 0.8189460039138794]
+Nc1ccnc(Nc2ccc(F)cn2)c1; ['Fc1ccc(Br)nc1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Fc1ccc(Cl)nc1', 'Fc1ccc(F)nc1']; ['Nc1ccnc(N)c1', 'Nc1ccnc(F)c1', 'Nc1ccnc(Cl)c1', 'Nc1ccnc(Br)c1', 'Nc1ccnc(N)c1', 'Nc1ccnc(N)c1']; [0.9982490539550781, 0.99676513671875, 0.9965687394142151, 0.9955015182495117, 0.9617990851402283, 0.9228396415710449]
+COc1cc(N2CCNCC2)ccc1-c1cc(N)ccn1; [None]; [None]; [0]
 Cn1nc(-c2cc(N)ccn2)cc1C(C)(C)O; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cc(N)ccn2)c1; ['CS(=O)(=O)c1ccc(Cl)c(Br)c1']; ['Nc1ccnc(Cl)c1']; [0.944618821144104]
+CCOc1ccccc1-c1ncnn2cccc12; ['CCOc1ccccc1B(O)O']; ['Clc1ncnn2cccc12']; [0.9993108510971069]
+CNC(=O)c1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ncnn2cccc12; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['Clc1ncnn2cccc12']; [0.9999115467071533]
+Cc1nnc(-c2ccccc2-c2ncnn3cccc23)[nH]1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ncnn3cccc23)c1; ['Clc1ncnn2cccc12']; ['Fc1cc(F)cc(C[Zn]Br)c1']; [0.9994039535522461]
+Cc1ccc(C(=O)NCCO)cc1-c1cc(N)ccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cc(N)ccn2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ncnn3cccc23)c1; ['Clc1ncnn2cccc12']; ['OB(O)c1cccc(C(F)(F)F)c1']; [0.9998623728752136]
+c1ccc2c(-c3ncnn4cccc34)ccnc2c1; ['Clc1ncnn2cccc12']; ['OB(O)c1ccnc2ccccc12']; [0.9973874688148499]
+CCn1cc(-c2ncnn3cccc23)cn1; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9996310472488403, 0.991539478302002]
+CP(C)(=O)c1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ncnn2cccc12; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Clc1ncnn2cccc12']; ['Clc1ncnn2cccc12', 'NC(=O)c1ccccc1B(O)O']; [0.999685525894165, 0.9648592472076416]
+FC(F)(F)Oc1ccccc1-c1ncnn2cccc12; ['Clc1ncnn2cccc12']; ['OB(O)c1ccccc1OC(F)(F)F']; [0.9999682903289795]
+COC(C)(C)CCc1ncnn2cccc12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ncnn4cccc34)cn2)cc1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'Clc1ncnn2cccc12']; ['Clc1ncnn2cccc12', 'OB(O)c1cnn(Cc2ccccc2)c1']; [0.9996582269668579, 0.997087836265564]
+Cn1cnc2ccc(-c3ncnn4cccc34)cc2c1=O; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ncnn3cccc23)c1)c1ccccc1; ['Clc1ncnn2cccc12', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C']; ['O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Clc1ncnn2cccc12']; [0.9993816614151001, 0.998828113079071]
+OCCn1cc(-c2ncnn3cccc23)cn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Clc1ncnn2cccc12']; ['Clc1ncnn2cccc12', 'OCCn1cc(B(O)O)cn1']; [0.9992077350616455, 0.9953619241714478]
 O=c1c2c(F)cccc2cnn1-c1ncnn2cccc12; [None]; [None]; [0]
-Cc1cc(Nc2cc(N)ccn2)ncc1F; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3ncnn4cccc34)[nH]2)cc1; [None]; [None]; [0]
+CC(C)C(=O)COc1ncnn2cccc12; ['CC(C)C(=O)CBr']; ['O=c1[nH]cnn2cccc12']; [0.9066488742828369]
+Clc1ccc(Cl)c(-c2ncnn3cccc23)c1; ['Clc1ncnn2cccc12']; ['OB(O)c1cc(Cl)ccc1Cl']; [0.9955135583877563]
+Cc1ccc(-c2ncnn3cccc23)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1']; ['Clc1ncnn2cccc12']; [0.9923439025878906]
+c1ccn2c(-c3ncnn4cccc34)cnc2c1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ncnn3cccc23)cs1; [None]; [None]; [0]
+COc1cnc(-c2ncnn3cccc23)nc1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ncnn3cccc23)s1; [None]; [None]; [0]
+c1cnn2c(-c3ncnn4cccc34)cnc2c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ncnn2cccc12; ['Clc1ncnn2cccc12']; ['OB(O)c1c(Cl)cccc1Cl']; [0.7666438221931458]
+Brc1cccc(-c2ncnn3cccc23)c1; ['Clc1ncnn2cccc12']; ['OB(O)c1cccc(Br)c1']; [0.9976109266281128]
+Cc1nc(C)c(-c2ncnn3cccc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ncnn2cccc12; [None]; [None]; [0]
+c1cncc(CNc2ncnn3cccc23)c1; ['Clc1ncnn2cccc12', 'Nc1ncnn2cccc12']; ['NCc1cccnc1', 'O=Cc1cccnc1']; [0.9999994039535522, 0.9999198913574219]
+Cc1ccc(Cl)c(-c2ncnn3cccc23)c1; ['Cc1ccc(Cl)c(B(O)O)c1']; ['Clc1ncnn2cccc12']; [0.9637919664382935]
+Cc1nc2ccccn2c1-c1ncnn2cccc12; [None]; [None]; [0]
+c1cncc(Nc2ncnn3cccc23)c1; ['Clc1ncnn2cccc12', 'Nc1ncnn2cccc12', 'Ic1cccnc1', 'Brc1cccnc1']; ['Nc1cccnc1', 'O=S(=O)(Oc1cccnc1)C(F)(F)F', 'Nc1ncnn2cccc12', 'Nc1ncnn2cccc12']; [0.9999576210975647, 0.9981354475021362, 0.9976116418838501, 0.9847338199615479]
+c1ccc2cc(-c3ncnn4cccc34)ccc2c1; ['Clc1ncnn2cccc12']; ['OB(O)c1ccc2ccccc2c1']; [0.9999287128448486]
+c1ccc2c(c1)ncn2-c1ncnn2cccc12; ['Clc1ncnn2cccc12']; ['c1ccc2[nH]cnc2c1']; [0.9996299147605896]
+c1cc(Cn2cncn2)cc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
+O=C(Nc1ncnn2cccc12)c1cccs1; ['Nc1ncnn2cccc12', 'Nc1ncnn2cccc12']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1']; [0.9999971389770508, 0.9998562335968018]
+c1cnn2ncc(-c3ncnn4cccc34)c2c1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Clc1ncnn2cccc12']; [0.9988254308700562]
+c1cc2c(NCCc3c[nH]cn3)ncnn2c1; ['Clc1ncnn2cccc12']; ['NCCc1c[nH]cn1']; [0.9997613430023193]
+c1ccc(CCNc2ncnn3cccc23)cc1; ['Clc1ncnn2cccc12']; ['NCCc1ccccc1']; [0.9999305009841919]
+FC(F)(F)c1n[nH]cc1-c1ncnn2cccc12; [None]; [None]; [0]
 Cc1c(-c2ncnn3cccc23)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(-c3ncnn4cccc34)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ncnn3cccc23)o1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1ncnn2cccc12; [None]; [None]; [0]
+c1ccc2c(-c3ncnn4cccc34)cncc2c1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Clc1ncnn2cccc12']; ['Clc1ncnn2cccc12', 'OB(O)c1cncc2ccccc12']; [0.9998664855957031, 0.9991005659103394]
+Nc1nccc(-c2ncnn3cccc23)n1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ncnn4cccc34)cc2)cn1; ['Clc1ncnn2cccc12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [0.9999719262123108]
+Clc1ccc(CNc2ncnn3cccc23)cc1; ['Clc1ccc(CBr)cc1', 'Clc1ncnn2cccc12']; ['Nc1ncnn2cccc12', 'NCc1ccc(Cl)cc1']; [0.999983549118042, 0.9999510645866394]
+Nc1[nH]nc2cc(-c3ncnn4cccc34)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ncnn4cccc34)cc2CS1(=O)=O; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
+c1cc2c(-c3ccc(-c4cn[nH]c4)cc3)ncnn2c1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Clc1ncnn2cccc12']; ['Clc1ncnn2cccc12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.999984860420227, 0.9999220371246338]
+Oc1cccc(-c2ncnn3cccc23)c1; ['Clc1ncnn2cccc12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C']; ['OB(O)c1cccc(O)c1', 'Clc1ncnn2cccc12']; [0.9988893270492554, 0.9887335300445557]
+Cn1ncc2cc(-c3ncnn4cccc34)ccc21; [None]; [None]; [0]
+c1cc2c(Nc3ccncc3)ncnn2c1; ['Clc1ncnn2cccc12', 'Nc1ncnn2cccc12', 'Brc1ccncc1', 'Ic1ccncc1', 'Fc1ccncc1', 'Clc1ccncc1']; ['Nc1ccncc1', 'OB(O)c1ccncc1', 'Nc1ncnn2cccc12', 'Nc1ncnn2cccc12', 'Nc1ncnn2cccc12', 'Nc1ncnn2cccc12']; [0.9999822378158569, 0.999908447265625, 0.9986427426338196, 0.9985252618789673, 0.993061900138855, 0.9907732009887695]
+Fc1ccccc1CNc1ncnn2cccc12; ['Clc1ncnn2cccc12', 'Fc1ccccc1CBr']; ['NCc1ccccc1F', 'Nc1ncnn2cccc12']; [0.9999997615814209, 0.9999986290931702]
+OCc1cccc(-c2ncnn3cccc23)c1; ['Clc1ncnn2cccc12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C']; ['OCc1cccc(B(O)O)c1', 'Clc1ncnn2cccc12']; [0.9978676438331604, 0.9972990155220032]
+CCCn1cnc(-c2ncnn3cccc23)n1; [None]; [None]; [0]
+c1cc2c(-c3csc4ncncc34)ncnn2c1; [None]; [None]; [0]
 COc1cc(-c2ncnn3cccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)n1cc(-c2ncnn3cccc23)nn1; [None]; [None]; [0]
+CSc1nc(-c2ncnn3cccc23)c[nH]1; [None]; [None]; [0]
 c1cc2c(CCc3c[nH]nn3)ncnn2c1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1ncnn2cccc12; [None]; [None]; [0]
-O=C(Nc1ncnn2cccc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CC(C)c1oncc1-c1ncnn2cccc12; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ncnn4cccc34)cc2c1; [None]; [None]; [0]
+Nc1nc(-c2ncnn3cccc23)cs1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
+c1ccc(Oc2ncnn3cccc23)nc1; ['Clc1ncnn2cccc12']; ['Oc1ccccn1']; [0.9997353553771973]
+Fc1ccc(-c2ncnn3cccc23)c(C(F)(F)F)c1; ['Clc1ncnn2cccc12']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9997075796127319]
+CCC(=O)Nc1ccc(-c2ncnn3cccc23)cc1; [None]; [None]; [0]
+Nc1ncncc1-c1ncnn2cccc12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ncnn3cccc23)c1; ['CC(=O)Nc1cccc(B(O)O)c1', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9974342584609985, 0.9966132044792175]
+CS(=O)(=O)C1CCN(c2ncnn3cccc23)CC1; ['CS(=O)(=O)C1CCNCC1']; ['Clc1ncnn2cccc12']; [0.9988805651664734]
+O=C(Nc1ncnn2cccc12)c1c(Cl)cccc1Cl; ['Nc1ncnn2cccc12', 'Nc1ncnn2cccc12', 'Clc1ncnn2cccc12', 'COC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'Nc1ncnn2cccc12']; [0.9999938607215881, 0.9999863505363464, 0.9999738335609436, 0.9998211860656738]
+COc1ccc(-c2ncnn3cccc23)cc1Cl; ['COc1ccc(B(O)O)cc1Cl']; ['Clc1ncnn2cccc12']; [0.9994046092033386]
+CCNc1nc2ccc(-c3ncnn4cccc34)cc2s1; [None]; [None]; [0]
 CC(C)(COc1ncnn2cccc12)S(C)(=O)=O; [None]; [None]; [0]
+Cn1cc(-c2ncnn3cccc23)c2ccccc21; [None]; [None]; [0]
+NC(=O)CCCc1ncnn2cccc12; [None]; [None]; [0]
+CCCn1cc(-c2ncnn3cccc23)cn1; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9999459981918335, 0.9966450333595276]
+CC(C)(O)CC(=O)NCCc1ncnn2cccc12; [None]; [None]; [0]
+c1ccn2ncc(-c3ncnn4cccc34)c2c1; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1ncnn2cccc12']; ['Clc1ncnn2cccc12', 'OB(O)c1cnn2ccccc12']; [0.998852014541626, 0.9982739686965942]
+O=c1cc(-c2ncnn3cccc23)cc[nH]1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ncnn3cccc23)cc1; ['CS(=O)c1ccc(B(O)O)cc1']; ['Clc1ncnn2cccc12']; [0.9964077472686768]
+C[C@@H](Oc1ncnn2cccc12)c1c(Cl)cncc1Cl; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['Clc1ncnn2cccc12', 'O=c1[nH]cnn2cccc12']; [0.9979305267333984, 0.9422792196273804]
+CCNS(=O)(=O)c1ccccc1-c1ncnn2cccc12; [None]; [None]; [0]
+COc1cc(CCc2ncnn3cccc23)cc(OC)c1; [None]; [None]; [0]
+CCN(CC)c1ncnn2cccc12; [None, 'CCNCC', None]; [None, 'Clc1ncnn2cccc12', None]; [0, 0.9657725095748901, 0]
+O=C1CCc2cccc(-c3ncnn4cccc34)c21; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2ncnn3cccc23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1ncnn2cccc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ncnn3cccc23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ncnn3cccc23)cc1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9997230768203735, 0.9995405673980713]
+c1ccc2ncc(Nc3ncnn4cccc34)cc2c1; ['Clc1ncnn2cccc12', 'Brc1cnc2ccccc2c1', 'Ic1cnc2ccccc2c1']; ['Nc1cnc2ccccc2c1', 'Nc1ncnn2cccc12', 'Nc1ncnn2cccc12']; [0.9999262094497681, 0.9868918061256409, 0.978860080242157]
+c1ccc(-c2ccncc2Nc2ncnn3cccc23)cc1; ['Clc1ncnn2cccc12', 'Brc1cnccc1-c1ccccc1']; ['Nc1cnccc1-c1ccccc1', 'Nc1ncnn2cccc12']; [0.9999997019767761, 0.9999916553497314]
+COc1cccc(F)c1-c1ncnn2cccc12; ['COc1cccc(F)c1B(O)O']; ['Clc1ncnn2cccc12']; [0.99908447265625]
+CC(C)Oc1cncc(-c2ncnn3cccc23)c1; ['CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9999915361404419, 0.9999872446060181, 0.999962568283081]
+COc1ccncc1Nc1ncnn2cccc12; ['COc1ccncc1N', 'COc1ccncc1I', 'COc1ccncc1Br', 'COc1ccncc1B(O)O']; ['Clc1ncnn2cccc12', 'Nc1ncnn2cccc12', 'Nc1ncnn2cccc12', 'Nc1ncnn2cccc12']; [0.9999997019767761, 0.9999891519546509, 0.9999876022338867, 0.9999850392341614]
+c1cc2c(-c3cnc4[nH]ccc4c3)ncnn2c1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1ncnn2cccc12', 'Brc1cnc2[nH]ccc2c1']; ['Clc1ncnn2cccc12', 'OB(O)c1cnc2[nH]ccc2c1', 'Clc1ncnn2cccc12']; [0.9999096393585205, 0.9998925924301147, 0.9932899475097656]
+c1cc2c(-c3c[nH]c4cnccc34)ncnn2c1; ['Clc1ncnn2cccc12']; ['OB(O)c1c[nH]c2cnccc12']; [0.9912258386611938]
 O=c1[nH]cc(Br)c2sc(-c3ncnn4cccc34)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2ncnn3cccc23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ncnn3cccc23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9983085989952087, 0.9965087175369263]
+O=c1[nH]ccc2oc(-c3ncnn4cccc34)cc12; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ncnn3cccc23)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9997819066047668, 0.9991329908370972, 0.9297593235969543]
 CN(c1ncnn2cccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ncnn3cccc23)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(Br)cc1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9997447729110718, 0.9989012479782104, 0.9014546871185303]
+CNC(=O)c1c(F)cccc1-c1ncnn2cccc12; [None]; [None]; [0]
+CC1(c2ncnn3cccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+c1cc2c(-c3ccc(N4CCOCC4)cc3)ncnn2c1; ['Clc1ncnn2cccc12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1ccc(N2CCOCC2)cc1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9999725818634033, 0.9999544024467468, 0.9982045888900757]
 C[C@H](Nc1ncnn2cccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2ncnn3cccc23)n1; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1ncnn2cccc12; ['Clc1ncnn2cccc12']; ['c1ccc2[nH]ncc2c1']; [0.9985663294792175]
+Fc1cccc(Cl)c1-c1ncnn2cccc12; ['Clc1ncnn2cccc12']; ['OB(O)c1c(F)cccc1Cl']; [0.9983980655670166]
+OCc1ccn(-c2ncnn3cccc23)n1; [None]; [None]; [0]
+C[C@@H](Nc1ncnn2cccc12)C(C)(C)O; ['C[C@@H](N)C(C)(C)O']; ['Clc1ncnn2cccc12']; [0.9987395405769348]
+Cc1cc(-c2ncnn3cccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+C[C@H](Nc1ncnn2cccc12)C(C)(C)O; ['C[C@H](N)C(C)(C)O']; ['Clc1ncnn2cccc12']; [0.9987395405769348]
+Oc1cccc2c1cnn2-c1ncnn2cccc12; ['Clc1ncnn2cccc12']; ['Oc1cccc2[nH]ncc12']; [0.9963138103485107]
+COc1ccc(-c2ncnn3cccc23)c(OC)c1; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9997471570968628, 0.9995124340057373]
+OCCc1cn(-c2ncnn3cccc23)cn1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ncnn3cccc23)cc1; ['Clc1ncnn2cccc12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Clc1ncnn2cccc12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'Clc1ncnn2cccc12', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.999672532081604, 0.9995112419128418, 0.9451522827148438]
+CSc1nc(C)c(-c2ncnn3cccc23)[nH]1; [None]; [None]; [0]
+c1cc2c(-c3ccc(-n4cncn4)cc3)ncnn2c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ncnn3cccc23)CC1; [None]; [None]; [0]
+Oc1ccc2nc(-c3ncnn4cccc34)[nH]c2c1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ncnn2cccc12; [None]; [None]; [0]
+c1cc2c(-c3nncn3C3CC3)ncnn2c1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ncnn5cccc45)n3n2)cc1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2ncnn3cccc23)n1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ncnn4cccc34)nn2)cc1; [None]; [None]; [0]
+O=C(CCc1ncnn2cccc12)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1ncnn2cccc12)NCc1ccccn1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ncnn2cccc12; [None]; [None]; [0]
+Nc1nnc(-c2ncnn3cccc23)s1; [None]; [None]; [0]
+CCc1cc(-c2ncnn3cccc23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ncnn3cccc23)nc(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncnn3cccc23)s1; [None]; [None]; [0]
+c1ccc2sc(-c3ncnn4cccc34)nc2c1; [None]; [None]; [0]
+c1cc(-c2ncnn3cccc23)c2sccc2c1; ['Clc1ncnn2cccc12']; ['OB(O)c1cccc2ccsc12']; [0.9915386438369751]
+CC(C)(O)c1cccc(-c2ncnn3cccc23)n1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2ncnn3cccc23)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3ncnn4cccc34)nc2NC1=O; [None]; [None]; [0]
 c1cc(-c2ncnn3cccc23)c2snnc2c1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3ncnn4cccc34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncnn4cccc34)c2)cc1; [None]; [None]; [0]
-COc1ccc(Oc2ncnn3cccc23)c(F)c1F; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ncnn3cccc23)CC1; [None]; [None]; [0]
+c1cnc2c(-c3ncnn4cccc34)c[nH]c2c1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['Clc1ncnn2cccc12']; [0.9646375179290771]
+CC(=O)Nc1ncc(-c2ncnn3cccc23)[nH]1; [None]; [None]; [0]
+Nc1cncc(-c2ncnn3cccc23)n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ncnn2cccc12; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1Br', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.999910295009613, 0.9998345375061035, 0.9996280670166016]
+COc1ccc(Oc2ncnn3cccc23)c(F)c1F; ['COc1ccc(O)c(F)c1F']; ['Clc1ncnn2cccc12']; [0.9994033575057983]
+c1ccc2nc(-c3ncnn4cccc34)ncc2c1; [None]; [None]; [0]
+Nc1nc(-c2ncnn3cccc23)nc2ccccc12; [None]; [None]; [0]
+OCCn1cnc(-c2ncnn3cccc23)c1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ncnn3cccc23)c1; ['COc1ccc(OC)c(B(O)O)c1']; ['Clc1ncnn2cccc12']; [0.9999295473098755]
+c1ccc2[nH]c(C3CCN(c4ncnn5cccc45)CC3)nc2c1; ['Clc1ncnn2cccc12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9996305704116821]
+COc1ncccc1-c1ncnn2cccc12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.999719500541687, 0.9997106790542603]
+C[C@@]1(O)CC[C@H](c2ncnn3cccc23)CC1; [None]; [None]; [0]
+c1cc2c(-c3ncc4cc[nH]c4n3)ncnn2c1; [None]; [None]; [0]
+CCOc1ccc(-c2nc3cnccc3[nH]2)cc1; ['CCOc1ccc(C=O)cc1', 'CCOc1ccc(C(=O)O)cc1', 'CCOc1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9997836351394653, 0.9995617866516113, 0.9937493801116943]
+CN(C)S(=O)(=O)c1cccc(-c2ncnn3cccc23)c1; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(Br)c1']; ['Clc1ncnn2cccc12', 'Clc1ncnn2cccc12', 'Clc1ncnn2cccc12']; [0.9999293684959412, 0.9998406171798706, 0.9976511001586914]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ncnn3cccc23)C1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['Clc1ncnn2cccc12']; [0.9999966621398926]
+COc1ncccc1-c1nc2cnccc2[nH]1; ['COc1ncccc1C=O', 'COc1ncccc1C(=O)O', 'COc1ncccc1C=O', 'CCOC(=O)c1cccnc1OC']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1N']; [0.9999057054519653, 0.9998190402984619, 0.999672532081604, 0.9961158633232117]
+COc1cc(-c2nc3cnccc3[nH]2)cc(OC)c1OC; ['COc1cc(C(=O)O)cc(OC)c1OC', 'COc1cc(C=O)cc(OC)c1OC']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999171495437622, 0.9996967315673828]
+CS(=O)(=O)c1cccc(-c2nc3cnccc3[nH]2)c1; ['CS(=O)(=O)c1cccc(C(=O)O)c1', 'CS(=O)(=O)c1cccc(C=O)c1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999969005584717, 0.9999953508377075]
+CC(=O)N(C)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CC(=O)N(C)c1ccc(C(=O)O)cc1']; ['Nc1ccncc1N']; [0.99991774559021]
 O=C(Nc1cccc(-c2ncnn3cccc23)c1)C1CCNCC1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ncnn3cccc23)n1; [None]; [None]; [0]
+CN(C)c1cc(-c2ncnn3cccc23)cnn1; [None]; [None]; [0]
+COc1ccc(-c2nc3cnccc3[nH]2)cc1; ['COc1ccc(C(=O)O)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(C=O)cc1', 'COc1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999762773513794, 0.9997293949127197, 0.9979324340820312, 0.9893444776535034]
+c1cnn2c(-c3nc4cnccc4[nH]3)cnc2c1; ['Nc1ccncc1N']; ['O=Cc1cnc2cccnn12']; [0.9999920129776001]
+c1ccc2nc(-c3nc4cnccc4[nH]3)ncc2c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nc3cnccc3[nH]2)c1)C1CC1; [None]; [None]; [0]
+Oc1cccc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]', 'Nc1ccncc1N', 'Oc1cccc(I)c1']; ['O=Cc1cccc(O)c1', 'O=Cc1cccc(O)c1', 'O=Cc1cccc(O)c1', 'O=C(O)c1cccc(O)c1', 'c1cc2[nH]cnc2cn1']; [0.9999009966850281, 0.9996340274810791, 0.9961971044540405, 0.9892884492874146, 0.9864094257354736]
+N#Cc1ccc(O)c(-c2nc3cnccc3[nH]2)c1; ['N#Cc1ccc(O)c(C=O)c1', 'N#Cc1ccc(O)c(C=O)c1', 'N#Cc1ccc(O)c(C(=O)O)c1', 'N#Cc1ccc(O)c(C=O)c1']; ['Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999784231185913, 0.9999712705612183, 0.9999300241470337, 0.9998441934585571]
+c1cc2[nH]c(-c3ccc(N4CCOCC4)cc3)nc2cn1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(O)c1ccc(N2CCOCC2)cc1', 'O=Cc1ccc(N2CCOCC2)cc1', 'O=Cc1ccc(N2CCOCC2)cc1', 'O=Cc1ccc(N2CCOCC2)cc1']; [0.9999967813491821, 0.999996542930603, 0.9999105334281921, 0.9995927810668945]
+Cc1ccc2ncn(-c3nc4cnccc4[nH]3)c2c1; [None]; [None]; [0]
+Cc1cc(Nc2nc3cnccc3[nH]2)sn1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['NC(=O)c1ccc(C(=O)O)cc1', 'NC(=O)c1ccc(C=O)cc1', 'NC(=O)c1ccc(Br)cc1', 'NC(=O)c1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'c1cc2[nH]cnc2cn1', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999570250511169, 0.9997900724411011, 0.998742401599884, 0.9914066791534424]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc4cnccc4[nH]3)cc2)CC1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3nc4cnccc4[nH]3)nc2c1; [None]; [None]; [0]
+c1ccc2c(-c3nc4cnccc4[nH]3)nccc2c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'N#Cc1nccc2ccccc12', 'Cc1nccc2ccccc12']; ['O=C(O)c1nccc2ccccc12', 'O=Cc1nccc2ccccc12', 'Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999723434448242, 0.9997307062149048, 0.9996086359024048, 0.9985195994377136]
+c1cnc(Nc2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1ccc(C(=O)Nc2ccccc2)cc1', 'O=Cc1ccc(C(=O)Nc2ccccc2)cc1']; [0.9999083280563354, 0.9996882677078247]
+OCCOc1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1ccc(OCCO)cc1', 'O=Cc1ccc(OCCO)cc1']; [0.9958152770996094, 0.9905067682266235]
+c1cc(-c2nc3cnccc3[nH]2)cc(C2CCNCC2)c1; ['Nc1ccncc1N']; ['O=C(O)c1cccc(C2CCNCC2)c1']; [0.9999994039535522]
 N#Cc1cccc(Cn2cc(-c3nc4cnccc4[nH]3)cn2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2nc3cnccc3[nH]2)cc1; ['CC(=O)NCc1ccc(C(=O)O)cc1']; ['Nc1ccncc1N']; [0.9999954700469971]
+c1cc(Nc2nc3cnccc3[nH]2)ncn1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1ccc(C(F)(F)F)cc1', 'O=Cc1ccc(C(F)(F)F)cc1']; [0.9999858140945435, 0.9999288320541382]
+CNS(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CNS(=O)(=O)c1ccc(C(=O)O)cc1', 'CNS(=O)(=O)c1ccc(C=O)cc1', 'CNS(=O)(=O)c1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999819993972778, 0.9996403455734253, 0.978890061378479]
+CN(C)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CN(C)c1ccc(C(=O)O)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(C=O)cc1', 'CN(C)c1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; [0.999983549118042, 0.9999077320098877, 0.9996150732040405, 0.995186984539032]
+Cc1nc(C)c(-c2nc3cnccc3[nH]2)s1; ['Cc1nc(C)c(C=O)s1']; ['Nc1ccncc1N']; [0.9984263181686401]
+O=C(c1ccc(-c2nc3cnccc3[nH]2)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2nc3cnccc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CN(C)S(=O)(=O)c1ccc(C(=O)Cl)cc1', 'CN(C)S(=O)(=O)c1ccc(C(=O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'c1cc2[nH]cnc2cn1']; [0.9999933242797852, 0.9999443292617798, 0.9997894763946533]
 O=S1(=O)Cc2ccc(-c3nc4cnccc4[nH]3)cc2C1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CCNS(=O)(=O)c1ccc(C(=O)O)cc1']; ['Nc1ccncc1N']; [0.9999493360519409]
+Brc1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(O)c1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1', 'O=Cc1ccc(Br)cc1']; [0.9999646544456482, 0.9998766183853149, 0.9996544122695923, 0.9963026642799377]
+CS(=O)(=O)N1CCC(c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2nc3cnccc3[nH]2)C1; [None]; [None]; [0]
+CCCOc1ccc(-c2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CCN(CC)C(=O)c1ccc(C(=O)O)cc1']; ['Nc1ccncc1N']; [0.99997878074646]
+c1cc2[nH]c(-c3ccn4nccc4n3)nc2cn1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3cnccc3[nH]2)cc1Cl; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
 CC(C)c1cc(-c2nc3cnccc3[nH]2)nc(N)n1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1nc2cnccc2[nH]1; ['COc1ccc(Cl)cc1C(=O)O', 'COc1ccc(Cl)cc1C=O']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999964237213135, 0.9999696016311646]
+COc1cc(OC)c(-c2nc3cnccc3[nH]2)cc1Cl; ['COc1cc(OC)c(C=O)cc1Cl']; ['Nc1ccncc1N']; [0.9999727010726929]
+CNS(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)c(C)c1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3nc4cnccc4[nH]3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3nc4cnccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+c1ccc(-c2cc(-c3nc4cnccc4[nH]3)n[nH]2)cc1; ['Nc1ccncc1N']; ['O=C(O)c1cc(-c2ccccc2)[nH]n1']; [0.9999605417251587]
+c1cc2[nH]c(-c3ccc4c(c3)CCO4)nc2cn1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(O)c1ccc2c(c1)CCO2', 'O=Cc1ccc2c(c1)CCO2', 'O=Cc1ccc2c(c1)CCO2', 'O=Cc1ccc2c(c1)CCO2']; [0.9999939799308777, 0.9999822974205017, 0.9999804496765137, 0.9999107122421265]
+CC(=O)Nc1cccc(-c2nc3cnccc3[nH]2)c1; ['CC(=O)Nc1cccc(C(=O)O)c1', 'CC(=O)Nc1cccc(C=O)c1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999921917915344, 0.9998716115951538]
+COc1cc(-c2nc3cnccc3[nH]2)ccc1O; ['COc1cc(C(=O)O)ccc1O', 'COc1cc(C=O)ccc1O', 'COc1cc(C=O)ccc1O', 'COc1cc(C=O)ccc1O']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; [0.9998594522476196, 0.9983034133911133, 0.997158944606781, 0.9530003070831299]
+c1ccc2c(-c3nc4cnccc4[nH]3)c[nH]c2c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'NCc1c[nH]c2ccccc12', 'Nc1ccncc1N', 'N#Cc1c[nH]c2ccccc12', 'CCOC(=O)c1c[nH]c2ccccc12', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(O)c1c[nH]c2ccccc12', 'ON=Cc1c[nH]c2ccccc12', 'Nc1ccncc1N', 'OCc1c[nH]c2ccccc12', 'Nc1ccncc1N', 'Nc1ccncc1N', 'O=Cc1c[nH]c2ccccc12', 'O=C(O)C(=O)c1c[nH]c2ccccc12', 'O=Cc1c[nH]c2ccccc12']; [0.999965488910675, 0.9999650120735168, 0.9999033212661743, 0.999891996383667, 0.9998905658721924, 0.999880850315094, 0.9997715353965759, 0.9997094869613647, 0.9349703788757324]
+c1cc2c(c(-c3nc4cnccc4[nH]3)c1)OCO2; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(Cl)c1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2', 'O=C(O)c1cccc2c1OCO2', 'O=Cc1cccc2c1OCO2']; [0.9999700784683228, 0.99994957447052, 0.9998604655265808, 0.9980577230453491]
+CC(C)(C)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CC(C)(C)c1ccc(C(=O)O)cc1', 'CC(C)(C)c1ccc(C=O)cc1', 'CC(C)(C)c1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999439120292664, 0.9999303817749023, 0.9982982873916626]
+c1cc2[nH]c(-c3scc4c3OCCO4)nc2cn1; ['Nc1ccncc1N']; ['O=Cc1scc2c1OCCO2']; [0.9999951124191284]
+c1ccc2ncc(-c3nc4cnccc4[nH]3)cc2c1; ['Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1N', 'Nc1ccncc1N', 'CCOC(=O)c1cnc2ccccc2c1']; ['O=Cc1cnc2ccccc2c1', 'O=Cc1cnc2ccccc2c1', 'O=C(O)c1cnc2ccccc2c1', 'Nc1ccncc1N']; [0.9999552965164185, 0.9999449849128723, 0.9998042583465576, 0.9997986555099487]
+CC(C)(C)c1ccc(-c2nc3cnccc3[nH]2)cn1; ['CC(C)(C)c1ccc(C=O)cn1', 'CC(C)(C)c1ccc(C=O)cn1', 'CC(C)(C)c1ccc(C(=O)O)cn1']; ['Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999111294746399, 0.9997333288192749, 0.9988211393356323]
+c1ccc(-n2cccn2)c(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3nc4cnccc4[nH]3)nc2c1F; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3nc4cnccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CC1(COc2nc3cnccc3[nH]2)COC1; ['CC1(CO)COC1']; ['Oc1nc2cnccc2[nH]1']; [0.9399791955947876]
+CSc1ccc(-c2nc3cnccc3[nH]2)cc1; ['CSc1ccc(C(=O)O)cc1', 'CSc1ccc(C=O)cc1', 'CSc1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.999987006187439, 0.999971866607666, 0.9985330104827881]
+Nc1nc(-c2nc3cnccc3[nH]2)cs1; ['Nc1ccncc1N']; ['Nc1nc(C=O)cs1']; [0.9919370412826538]
+c1ccc2sc(-c3nc4cnccc4[nH]3)cc2c1; ['Nc1ccncc1N']; ['O=Cc1cc2ccccc2s1']; [0.9996492862701416]
+CN(C)C(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CN(C)C(=O)c1ccc(C(=O)O)cc1', 'CN(C)C(=O)c1ccc(C=O)cc1', 'CN(C)C(=O)c1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999551773071289, 0.9998503923416138, 0.9960979223251343]
+Clc1cccc(-n2ccc(-c3nc4cnccc4[nH]3)n2)c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc(-c2nc3cnccc3[nH]2)cc1OC; ['COc1ccc(C(=O)O)cc1OC', 'COc1ccc(C=O)cc1OC']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999914824962616, 0.9999018311500549]
+CCc1ccc(-c2nc3cnccc3[nH]2)cc1; ['CCc1ccc(C=O)cc1', 'CCc1ccc(C(=O)O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9988452196121216, 0.9971234798431396]
+CCN1CCN(Cc2ccc(-c3nc4cnccc4[nH]3)cc2)CC1; ['CCN1CCN(Cc2ccc(C=O)cc2)CC1', 'CCN1CCN(Cc2ccc(C(=O)O)cc2)CC1', 'CCN1CCN(Cc2ccc(C=O)cc2)CC1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999880790710449, 0.9999462366104126, 0.9998911619186401]
+Fc1ccc(-c2nc3cnccc3[nH]2)c(Cl)c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=Cc1ccc(F)cc1Cl', 'O=C(O)c1ccc(F)cc1Cl', 'O=C(Cl)c1ccc(F)cc1Cl', 'O=Cc1ccc(F)cc1Cl', 'O=Cc1ccc(F)cc1Cl']; [0.9999945163726807, 0.9999924302101135, 0.9999889135360718, 0.9999853372573853, 0.9999693632125854]
+Clc1ccc(-c2nc3cnccc3[nH]2)c(Cl)c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(O)c1ccc(Cl)cc1Cl', 'O=Cc1ccc(Cl)cc1Cl', 'O=Cc1ccc(Cl)cc1Cl']; [0.99998939037323, 0.9999885559082031, 0.9999005794525146]
+Cc1cc(-c2nc3cnccc3[nH]2)nc(N)n1; [None]; [None]; [0]
+COc1ccc(CNc2nc3cnccc3[nH]2)cc1; ['COc1ccc(CN=C=S)cc1']; ['Nc1ccncc1N']; [0.9820195436477661]
+O=C1CCc2cc(-c3nc4cnccc4[nH]3)ccc2N1; ['Nc1ccncc1N', 'O=C1CCc2cc(I)ccc2N1']; ['O=C1CCc2cc(C(=O)O)ccc2N1', 'c1cc2[nH]cnc2cn1']; [0.9999150633811951, 0.9910057783126831]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
+Brc1cnc(-c2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
+c1ccn2nc(-c3nc4cnccc4[nH]3)cc2c1; ['Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1N']; ['O=C(O)c1cc2ccccn2n1', 'O=Cc1cc2ccccn2n1', 'O=Cc1cc2ccccn2n1']; [0.9998328685760498, 0.999605655670166, 0.999282717704773]
+Cn1cc(-c2nc3cnccc3[nH]2)c(C(F)(F)F)n1; ['Cn1cc(C(=O)O)c(C(F)(F)F)n1', 'Cn1cc(C=O)c(C(F)(F)F)n1', 'Cn1cc(C=O)c(C(F)(F)F)n1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [1.0, 1.0, 0.999994158744812]
+CC1(C)Cc2cc(-c3nc4cnccc4[nH]3)ccc2O1; ['CC1(C)Cc2cc(C=O)ccc2O1', 'CC1(C)Cc2cc(C=O)ccc2O1']; ['Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999933838844299, 0.9999847412109375]
+COc1cc(-c2nc3cnccc3[nH]2)ccc1Cl; ['COc1cc(C(=O)O)ccc1Cl', 'COc1cc(C=O)ccc1Cl']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999828338623047, 0.9999673366546631]
+COc1cc(F)c(-c2nc3cnccc3[nH]2)cc1OC; ['COc1cc(F)c(C(=O)O)cc1OC', 'COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C=O)cc1OC', 'COc1cc(F)c(C=O)cc1OC']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999933242797852, 0.9999566078186035, 0.9998679161071777, 0.9994088411331177]
+c1cc2cnc(-c3nc4cnccc4[nH]3)nn2c1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2nc3cnccc3[nH]2)C1; [None]; [None]; [0]
+COc1ccc2cccc(-c3nc4cnccc4[nH]3)c2c1; ['COc1ccc2cccc(C=O)c2c1', 'COc1ccc2cccc(C=O)c2c1', 'COc1ccc2cccc(C=O)c2c1']; ['Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999328851699829, 0.9998124837875366, 0.99809330701828]
+COc1cc(-c2nc3cnccc3[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3nc4cnccc4[nH]3)c2c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=Cc1cccc2ccc(O)cc12', 'O=C(O)c1cccc2ccc(O)cc12', 'O=Cc1cccc2ccc(O)cc12', 'O=Cc1cccc2ccc(O)cc12']; [0.9999194145202637, 0.9998739361763, 0.9998452663421631, 0.9939072728157043]
+Cc1nc(Nc2nc3cnccc3[nH]2)sc1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CNC(=O)c1ccc(C(=O)O)cc1', 'CNC(=O)c1ccc(C=O)cc1', 'CNC(=O)c1ccc(I)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'c1cc2[nH]cnc2cn1']; [0.9997434616088867, 0.9972457885742188, 0.9896565675735474]
+OCCn1cc(-c2nc3cnccc3[nH]2)cn1; ['Nc1ccncc1N']; ['O=C(O)c1cnn(CCO)c1']; [0.9999996423721313]
 Nc1cc(-c2nc3cnccc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1nc3cnccc3[nH]1)cn2C; [None]; [None]; [0]
+COc1cc(-c2nc3cnccc3[nH]2)c(OC)cc1Br; ['COc1cc(C=O)c(OC)cc1Br', 'COc1cc(C(=O)O)c(OC)cc1Br', 'COc1cc(C=O)c(OC)cc1Br', 'COc1cc(C=O)c(OC)cc1Br', 'COc1cc(CO)c(OC)cc1Br']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999401569366455, 0.9998929500579834, 0.9998365640640259, 0.9997826814651489, 0.9992252588272095]
+CCNC(=O)c1ccc(-c2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nc3cnccc3[nH]2)cc1; ['NC(=O)c1ccc(CC(=O)O)cc1']; ['Nc1ccncc1N']; [0.9982132911682129]
+Cc1cc(Nc2nc3cnccc3[nH]2)nn1C; [None]; [None]; [0]
+Clc1cnc(-c2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
+Cc1csc2c(-c3nc4cnccc4[nH]3)ncnc12; [None]; [None]; [0]
+COc1cc(OC)cc(-c2nc3cnccc3[nH]2)c1; ['COc1cc(OC)cc(C(=O)O)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1', 'COc1cc(C=O)cc(OC)c1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999992251396179, 0.9999822378158569, 0.9998104572296143, 0.9991779327392578]
+O=S(=O)(CCO)c1ccc(Cc2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N']; ['O=C(O)Cc1ccc(S(=O)(=O)CCO)cc1']; [0.9918373823165894]
+O=C(Nc1nc2cnccc2[nH]1)c1ccco1; [None]; [None]; [0]
+COc1ccc2oc(-c3nc4cnccc4[nH]3)cc2c1; ['COc1ccc2oc(C=O)cc2c1']; ['Nc1ccncc1N']; [0.9978132247924805]
+c1cc2[nH]c(-c3ccc4cn[nH]c4c3)nc2cn1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; ['O=Cc1ccc2cn[nH]c2c1', 'O=C(O)c1ccc2cn[nH]c2c1', 'O=Cc1ccc2cn[nH]c2c1']; [0.9994601011276245, 0.9975780248641968, 0.9945579767227173]
+CO[C@@H]1CC[C@@H](c2nc3cnccc3[nH]2)CC1; ['CO[C@H]1CC[C@H](C(=O)O)CC1']; ['Nc1ccncc1N']; [0.9999274015426636]
+CCNC(=O)N1CCC(c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1nc3cnccc3[nH]1)cn2C; ['COc1ccc2c(c1)c(C=O)cn2C', 'COc1ccc2c(c1)c(C(=O)O)cn2C']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999974250793457, 0.9997975826263428]
+CC(C)(C)c1ccc(C(=O)Nc2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
+c1ccc2oc(-c3nc4cnccc4[nH]3)cc2c1; ['Nc1ccncc1N']; ['O=Cc1cc2ccccc2o1']; [0.9995090365409851]
 O=C(Nc1cn[nH]c1)c1cccc(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
+CCn1cc(-c2nc3cnccc3[nH]2)cn1; ['CCn1cc(C(=O)O)cn1', 'CCn1cc(C=O)cn1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999884366989136, 0.9998674392700195]
+COc1cc(CS(C)(=O)=O)ccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3nc4cnccc4[nH]3)c2)c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1nc2cnccc2[nH]1; ['Cn1cc(Br)cc1C(=O)O', 'Cn1cc(Br)cc1C#N']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.999957799911499, 0.9995274543762207]
+FC(F)(F)Oc1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(O)c1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1', 'O=Cc1ccc(OC(F)(F)F)cc1']; [0.9999988675117493, 0.9999986886978149, 0.9999129772186279, 0.9994938969612122]
+O=C(Nc1cccc(-c2nc3cnccc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3nc4cnccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1nc2cnccc2[nH]1; ['CC(C)c1nn(C)cc1C(=O)O', 'CC(C)c1nn(C)cc1C=O', 'CC(C)c1nn(C)cc1C=O']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999997615814209, 0.9999964237213135, 0.999672532081604]
+CCc1cccc(-c2nc3cnccc3[nH]2)n1; ['CCc1cccc(C(=O)O)n1', 'CCc1cccc(C=O)n1', 'CCc1cccc(C#N)n1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1N']; [0.9996013641357422, 0.9995182752609253, 0.9985301494598389]
+c1cc2[nH]c(-c3ncc4sccc4n3)nc2cn1; [None]; [None]; [0]
+Cn1cc(-c2nc3cnccc3[nH]2)c2ccccc21; ['Cn1cc(C=O)c2ccccc21', 'Cn1cc(C(=O)O)c2ccccc21']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999988079071045, 0.999995768070221]
+Cn1ncc2cc(-c3nc4cnccc4[nH]3)ccc21; ['Cn1ncc2cc(C=O)ccc21', 'Cn1ncc2cc(C(=O)O)ccc21', 'Cn1ncc2cc(C=O)ccc21']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999838471412659, 0.9999377727508545, 0.997909665107727]
+Cc1cc(-c2nc3cnccc3[nH]2)cc(C)c1OCCO; ['Cc1cc(C=O)cc(C)c1OCCO']; ['Nc1ccncc1N']; [0.9840065836906433]
 c1cc2[nH]c(-c3ncn4c3CCCC4)nc2cn1; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3nc4cnccc4[nH]3)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3nc4cnccc4[nH]3)ccc12; ['Cc1n[nH]c2cc(C(=O)O)ccc12']; ['Nc1ccncc1N']; [0.9999794960021973]
+COc1ccc2nc(-c3nc4cnccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3cnccc3[nH]2)cn1; ['CN(C)c1ccc(C(=O)O)cn1', 'CN(C)c1ccc(C=O)cn1', 'CN(C)c1ccc(I)cn1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'c1cc2[nH]cnc2cn1']; [0.9994508028030396, 0.9930320978164673, 0.9837732315063477]
+CC(C)(O)c1ccc2cc(-c3nc4cnccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+OCCc1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N']; ['O=C(O)c1ccc(CCO)cc1']; [0.9995509386062622]
 O=C(Nc1nc2cnccc2[nH]1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3nc4cnccc4[nH]3)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['O=C(O)c1cccc(N2CCCC2=O)c1']; [0.9999157190322876]
 Cc1ncc(-c2ccc(-c3nc4cnccc4[nH]3)cc2)n1C; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc3cnccc3[nH]2)c(Cl)c1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3nc4cnccc4[nH]3)ccc21; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1nc2cnccc2[nH]1; ['Cc1cc(N2CCOCC2)ccc1C=O']; ['Nc1ccncc1N']; [0.9999836087226868]
+CNC(=O)c1ccc(-c2nc3cnccc3[nH]2)c(OC)c1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3nc4cnccc4[nH]3)cn2)CC1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-Cn1nc(-c2nc3cnccc3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
 Cc1cc(Nc2nc3cnccc3[nH]2)ncc1F; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2nc3cnccc3[nH]2)c1; ['CS(=O)(=O)c1ccc(Cl)c(C(=O)O)c1']; ['Nc1ccncc1N']; [0.9999097585678101]
+Cn1nc(-c2nc3cnccc3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
+c1ccc(Nc2nc3cnccc3[nH]2)nc1; ['N#CNc1ccccn1']; ['Nc1ccncc1N']; [0.9987170696258545]
+Fc1ccc(Nc2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
+CCOc1ccccc1-c1nc2cnccc2[nH]1; ['CCOc1ccccc1C=O', 'CCOc1ccccc1C(=O)O']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999507665634155, 0.9997414350509644]
+CN(C)C(=O)c1ccc(-c2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+c1ccc2c(-c3nc4cnccc4[nH]3)ccnc2c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]']; ['OCc1ccnc2ccccc12', 'O=C(O)c1ccnc2ccccc12', 'O=Cc1ccnc2ccccc12', 'O=Cc1ccnc2ccccc12']; [0.999998927116394, 0.9999987483024597, 0.999975323677063, 0.9999154806137085]
+Cc1ccc(C(=O)NCCO)cc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1cccc(C(F)(F)F)c1', 'O=Cc1cccc(C(F)(F)F)c1']; [0.9999991655349731, 0.9999937415122986]
+CP(C)(=O)c1ccccc1-c1nc2cnccc2[nH]1; ['CP(C)(=O)c1ccccc1C(=O)O']; ['Nc1ccncc1N']; [0.9993692636489868]
+FC(F)(F)Oc1ccccc1-c1nc2cnccc2[nH]1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1ccccc1OC(F)(F)F', 'O=C(O)c1ccccc1OC(F)(F)F']; [0.9999727606773376, 0.999950647354126]
+COC(C)(C)CCc1nc2cnccc2[nH]1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]', 'N#CCc1cc(F)cc(F)c1', 'Nc1ccncc1N', 'Cc1nc2cnccc2[nH]1']; ['O=CCc1cc(F)cc(F)c1', 'O=CCc1cc(F)cc(F)c1', 'O=C(O)Cc1cc(F)cc(F)c1', 'O=CCc1cc(F)cc(F)c1', 'Nc1ccncc1N', 'O=C(Cl)Cc1cc(F)cc(F)c1', 'Fc1cc(F)cc(Br)c1']; [0.999995231628418, 0.9999841451644897, 0.9999831318855286, 0.9999793767929077, 0.9999550580978394, 0.9998138546943665, 0.9402499198913574]
+CC(C)S(=O)(=O)c1ccccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2nc3cnccc3[nH]2)cs1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1nc2cnccc2[nH]1; ['NC(=O)c1ccccc1C(=O)O']; ['Nc1ccncc1N']; [0.9983474016189575]
+Cn1cnc2ccc(-c3nc4cnccc4[nH]3)cc2c1=O; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nc3cnccc3[nH]2)c1)c1ccccc1; ['Nc1ccncc1N']; ['O=C(O)c1cccc(NC(=O)c2ccccc2)c1']; [0.9999990463256836]
+Clc1ccc(Cl)c(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1cc(Cl)ccc1Cl', 'O=Cc1cc(Cl)ccc1Cl']; [0.9999812841415405, 0.9996204972267151]
+Cc1nnc(-c2ccccc2-c2nc3cnccc3[nH]2)[nH]1; [None]; [None]; [0]
+Cc1ccc(-c2nc3cnccc3[nH]2)c(Br)c1; ['Cc1ccc(C=O)c(Br)c1', 'Cc1ccc(C(=O)O)c(Br)c1', 'Cc1ccc(C=O)c(Br)c1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999977946281433, 0.9999940395355225, 0.9999772310256958]
+c1ccc(Cn2cc(-c3nc4cnccc4[nH]3)cn2)cc1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3nc4cnccc4[nH]3)[nH]2)cc1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+CC(C)C(=O)COc1nc2cnccc2[nH]1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1nc2cnccc2[nH]1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'NCc1c(Cl)cccc1Cl', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(O)c1c(Cl)cccc1Cl', 'OCc1c(Cl)cccc1Cl', 'Nc1ccncc1N', 'O=C(Cl)c1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl', 'OCc1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl', 'O=Cc1c(Cl)cccc1Cl']; [0.9999891519546509, 0.9999821782112122, 0.9999750256538391, 0.9999468326568604, 0.9998246431350708, 0.9996472597122192, 0.9976040720939636, 0.9969047904014587]
+CNc1nc(C)c(-c2nc3cnccc3[nH]2)s1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+Brc1cccc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1N']; ['O=Cc1cccc(Br)c1', 'O=Cc1cccc(Br)c1', 'O=C(O)c1cccc(Br)c1']; [0.9999417662620544, 0.9997749328613281, 0.9997624754905701]
+c1ccn2c(-c3nc4cnccc4[nH]3)cnc2c1; ['N#Cc1cnc2ccccn12', 'Nc1ccncc1N', 'Nc1ccncc1N']; ['Nc1ccncc1N', 'O=C(O)c1cnc2ccccn12', 'O=Cc1cnc2ccccn12']; [0.9998692274093628, 0.9998471736907959, 0.9995097517967224]
+Cc1ccc(Cl)c(-c2nc3cnccc3[nH]2)c1; ['Cc1ccc(Cl)c(C(=O)O)c1', 'Cc1ccc(Cl)c(C=O)c1', 'Cc1ccc(Cl)c(C=O)c1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999746084213257, 0.9999157786369324, 0.995876669883728]
+Cc1nc2ccccn2c1-c1nc2cnccc2[nH]1; ['Cc1nc2ccccn2c1C(=O)O', 'Cc1nc2ccccn2c1C=O']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999691247940063, 0.9998852014541626]
+c1cc(Cn2cncn2)cc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=Cc1cccc(Cn2cncn2)c1', 'O=Cc1cccc(Cn2cncn2)c1', 'O=Cc1cccc(Cn2cncn2)c1']; [0.9999960660934448, 0.999971866607666, 0.9999315738677979]
+c1ccc2cc(-c3nc4cnccc4[nH]3)ccc2c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]']; ['O=Cc1ccc2ccccc2c1', 'O=C(O)c1ccc2ccccc2c1', 'O=Cc1ccc2ccccc2c1']; [0.9998807907104492, 0.999798059463501, 0.9995588064193726]
+c1cncc(CNc2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['S=C=NCc1cccnc1']; [0.99846351146698]
+COc1cnc(-c2nc3cnccc3[nH]2)nc1; [None]; [None]; [0]
+Nc1nccc(-c2nc3cnccc3[nH]2)n1; ['Nc1ccncc1N', 'N#Cc1ccnc(N)n1', 'Cc1ccnc(N)n1']; ['Nc1nccc(C(=O)O)n1', 'Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999945163726807, 0.9999873638153076, 0.999981164932251]
+c1cnn2ncc(-c3nc4cnccc4[nH]3)c2c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; ['O=Cc1cnn2ncccc12', 'O=C(O)c1cnn2ncccc12', 'O=Cc1cnn2ncccc12']; [0.9999890923500061, 0.999954104423523, 0.9998155832290649]
+c1cncc(Nc2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N']; ['S=C=Nc1cccnc1']; [0.9990657567977905]
+O=C(Nc1nc2cnccc2[nH]1)c1cccs1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1nc2cnccc2[nH]1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]', 'FC(F)(F)c1n[nH]cc1I']; ['O=C(O)c1c[nH]nc1C(F)(F)F', 'O=Cc1c[nH]nc1C(F)(F)F', 'O=Cc1c[nH]nc1C(F)(F)F', 'O=Cc1c[nH]nc1C(F)(F)F', 'c1cc2[nH]cnc2cn1']; [0.9999988079071045, 0.9999940991401672, 0.9999306201934814, 0.9996812343597412, 0.9989352226257324]
+c1ccc2c(c1)ncn2-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+c1cc2[nH]c(NCCc3c[nH]cn3)nc2cn1; [None]; [None]; [0]
+c1ccc2c(-c3nc4cnccc4[nH]3)cncc2c1; ['CCOC(=O)c1cncc2ccccc12', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['Nc1ccncc1N', 'O=C(O)c1cncc2ccccc12', 'O=Cc1cncc2ccccc12', 'O=Cc1cncc2ccccc12', 'O=Cc1cncc2ccccc12']; [0.999989926815033, 0.9999871850013733, 0.9999191761016846, 0.9999184608459473, 0.9993578195571899]
+NC(=O)c1c(F)cccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
 Cc1c(-c2nc3cnccc3[nH]2)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(-c3nc4cnccc4[nH]3)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2nc3cnccc3[nH]2)o1; [None]; [None]; [0]
+c1ccc(CCNc2nc3cnccc3[nH]2)cc1; ['CSc1nc2ccncc2[nH]1', 'Nc1ccncc1N']; ['NCCc1ccccc1', 'S=C=NCCc1ccccc1']; [0.9484026432037354, 0.780025064945221]
+Clc1ccc(CNc2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N']; ['S=C=NCc1ccc(Cl)cc1']; [0.9916387796401978]
+O=C([O-])Cc1cccc(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
+OCc1cccc(-c2nc3cnccc3[nH]2)c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1cccc(CO)c1', 'OCc1cccc(CO)c1', 'O=C(O)c1cccc(CO)c1']; [0.9999357461929321, 0.9993793368339539, 0.9993324875831604]
+c1cc2[nH]c(-c3ccc(-c4cn[nH]c4)cc3)nc2cn1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(O)c1ccc(-c2cn[nH]c2)cc1', 'O=Cc1ccc(-c2cn[nH]c2)cc1', 'O=Cc1ccc(-c2cn[nH]c2)cc1', 'O=Cc1ccc(-c2cn[nH]c2)cc1']; [0.9999423027038574, 0.9998117685317993, 0.9991112351417542, 0.875067949295044]
+Cn1cc(-c2ccc(-c3nc4cnccc4[nH]3)cc2)cn1; ['Cn1cc(-c2ccc(C(=O)O)cc2)cn1', 'Cn1cc(-c2ccc(Br)cc2)cn1']; ['Nc1ccncc1N', 'c1cc2[nH]cnc2cn1']; [0.9999992847442627, 0.9995021820068359]
+Nc1[nH]nc2cc(-c3nc4cnccc4[nH]3)ccc12; [None]; [None]; [0]
+c1cc(Nc2nc3cnccc3[nH]2)ccn1; ['Nc1ccncc1N']; ['S=C=Nc1ccncc1']; [0.9961513876914978]
+Fc1ccccc1CNc1nc2cnccc2[nH]1; ['Fc1ccccc1CN=C=S']; ['Nc1ccncc1N']; [0.995311975479126]
 CN1c2ccc(-c3nc4cnccc4[nH]3)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2nc3cnccc3[nH]2)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)n1cc(-c2nc3cnccc3[nH]2)nn1; [None]; [None]; [0]
+CSc1nc(-c2nc3cnccc3[nH]2)c[nH]1; [None]; [None]; [0]
+c1cc2[nH]c(-c3csc4ncncc34)nc2cn1; [None]; [None]; [0]
+CCCn1cnc(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
+CC(C)c1oncc1-c1nc2cnccc2[nH]1; ['CC(C)c1oncc1C(=O)O']; ['Nc1ccncc1N']; [0.9999232292175293]
+COc1cc(-c2nc3cnccc3[nH]2)ccc1C(=O)[O-]; [None]; [None]; [0]
+Fc1ccc(-c2nc3cnccc3[nH]2)c(C(F)(F)F)c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(O)c1ccc(F)cc1C(F)(F)F', 'O=Cc1ccc(F)cc1C(F)(F)F', 'O=Cc1ccc(F)cc1C(F)(F)F']; [0.9999767541885376, 0.9997797012329102, 0.9990999698638916]
 c1cc2[nH]c(CCc3c[nH]nn3)nc2cn1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1nc2cnccc2[nH]1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3nc4cnccc4[nH]3)cc2c1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1cc2ccccc2[nH]1', 'O=C(O)c1cc2ccccc2[nH]1']; [0.9942970275878906, 0.9665492177009583]
+CCC(=O)Nc1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
+c1ccc(Oc2nc3cnccc3[nH]2)nc1; ['Clc1ccccn1', 'Brc1ccccn1', 'Fc1ccccn1']; ['Oc1nc2cnccc2[nH]1', 'Oc1nc2cnccc2[nH]1', 'Oc1nc2cnccc2[nH]1']; [0.9996289014816284, 0.9917689561843872, 0.979572594165802]
 O=C(Nc1nc2cnccc2[nH]1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Nc1ncncc1-c1nc2cnccc2[nH]1; ['Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1N', 'Nc1ncncc1I']; ['Nc1ncncc1C(=O)O', 'Nc1ncncc1C=O', 'Nc1ncncc1C=O', 'c1cc2[nH]cnc2cn1']; [0.9999709725379944, 0.9998688101768494, 0.999735951423645, 0.991951584815979]
+N#CCCc1cccc(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
+NC(=O)CCCc1nc2cnccc2[nH]1; [None]; [None]; [0]
+COc1ccc(-c2nc3cnccc3[nH]2)cc1Cl; ['COc1ccc(C(=O)O)cc1Cl', 'COc1ccc(C=O)cc1Cl']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999674558639526, 0.9998835921287537]
+CS(=O)(=O)C1CCN(c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3nc4cnccc4[nH]3)cc2s1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1nc2cnccc2[nH]1; [None]; [None]; [0]
+O=c1cc(-c2nc3cnccc3[nH]2)cc[nH]1; ['Nc1ccncc1N', None]; ['O=C(O)c1cc[nH]c(=O)c1', None]; [0.9999765157699585, 0]
+CCCn1cc(-c2nc3cnccc3[nH]2)cn1; ['CCCn1cc(C(=O)O)cn1', 'CCCn1cc(C=O)cn1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999997019767761, 0.9999958872795105]
+c1ccn2ncc(-c3nc4cnccc4[nH]3)c2c1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'CCOC(=O)c1cnn2ccccc12', 'Nc1ccncc1[N+](=O)[O-]', 'Ic1cnn2ccccc12']; ['O=C(O)c1cnn2ccccc12', 'O=Cc1cnn2ccccc12', 'Nc1ccncc1N', 'O=Cc1cnn2ccccc12', 'c1cc2[nH]cnc2cn1']; [1.0, 0.9999997615814209, 0.9999994039535522, 0.9999901056289673, 0.9997106790542603]
+COc1cc(CCc2nc3cnccc3[nH]2)cc(OC)c1; ['COc1cc(CCC(=O)O)cc(OC)c1', 'COc1cc(CCC=O)cc(OC)c1', 'COc1cc(CCC=O)cc(OC)c1', 'CCOC(=O)CCc1cc(OC)cc(OC)c1']; ['Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]', 'Nc1ccncc1N', 'Nc1ccncc1N']; [0.9998554587364197, 0.9991481900215149, 0.9988347291946411, 0.9940247535705566]
+C[S@](=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CS(=O)c1ccc(C(=O)O)cc1']; ['Nc1ccncc1N']; [0.9999836087226868]
+CCN(CC)c1nc2cnccc2[nH]1; ['CCN(C#N)CC', 'CCNCC']; ['Nc1ccncc1N', 'O=c1[nH]c2ccncc2[nH]1']; [0.9852612018585205, 0.9648410677909851]
 CC(C)(COc1nc2cnccc2[nH]1)S(C)(=O)=O; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3nc4cnccc4[nH]3)c21; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2nc3cnccc3[nH]2)cc1C(F)(F)F; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2nc3cnccc3[nH]2)c1; ['CC(C)Oc1cncc(C(=O)O)c1', 'CC(C)Oc1cncc(C=O)c1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999905824661255, 0.999959409236908]
+COc1cccc(F)c1-c1nc2cnccc2[nH]1; ['COc1cccc(F)c1C(=O)Cl', 'COc1cccc(F)c1C(=O)O', 'COc1cccc(F)c1C=O', 'COc1cccc(F)c1C=O']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999812245368958, 0.9999533295631409, 0.9999449253082275, 0.9988692998886108]
+COc1ccncc1Nc1nc2cnccc2[nH]1; [None]; [None]; [0]
 C[C@@H](Oc1nc2cnccc2[nH]1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3nc4cnccc4[nH]3)cc12; ['Nc1ccncc1N']; ['O=Cc1cc2c(=O)[nH]ccc2o1']; [0.9990120530128479]
+c1ccc(-c2ccncc2Nc2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
+c1cc2[nH]c(-c3cnc4[nH]ccc4c3)nc2cn1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1cnc2[nH]ccc2c1', 'O=Cc1cnc2[nH]ccc2c1']; [0.9999977350234985, 0.9999934434890747]
+c1cc2[nH]c(-c3c[nH]c4cnccc34)nc2cn1; ['Nc1ccncc1N', 'CCOC(=O)c1c[nH]c2cnccc12', 'N#Cc1c[nH]c2cnccc12', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(O)c1c[nH]c2cnccc12', 'Nc1ccncc1N', 'Nc1ccncc1N', 'O=Cc1c[nH]c2cnccc12', 'OCc1c[nH]c2cnccc12', 'O=Cc1c[nH]c2cnccc12', 'OCc1c[nH]c2cnccc12']; [0.9999935030937195, 0.999916672706604, 0.9998759031295776, 0.9995911717414856, 0.9994626045227051, 0.9637803435325623, 0.8992448449134827]
+c1ccc2ncc(Nc3nc4cnccc4[nH]3)cc2c1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CC(C)(C)NS(=O)(=O)c1ccc(C(=O)O)cc1']; ['Nc1ccncc1N']; [0.9999780654907227]
+CNC(=O)c1c(F)cccc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+CC1(c2nc3cnccc3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3nc4cnccc4[nH]3)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2nc3cnccc3[nH]2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['CS(=O)(=O)c1ccc(C(=O)Cl)cc1', 'CS(=O)(=O)c1ccc(C(=O)O)cc1', 'CS(=O)(=O)c1ccc(C=O)cc1', 'CS(=O)(=O)c1ccc(C=O)cc1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999651908874512, 0.9999085664749146, 0.9996944069862366, 0.991055965423584]
+Cc1cc(-c2nc3cnccc3[nH]2)n(-c2cccc(Cl)c2)n1; ['Cc1cc(C(=O)O)n(-c2cccc(Cl)c2)n1']; ['Nc1ccncc1N']; [0.9997164011001587]
+Fc1cccc(Cl)c1-c1nc2cnccc2[nH]1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1c(F)cccc1Cl', 'O=C(Cl)c1c(F)cccc1Cl', 'O=Cc1c(F)cccc1Cl']; [0.9999992847442627, 0.9999910593032837, 0.999982476234436]
 CN(c1nc2cnccc2[nH]1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 C[C@H](Nc1nc2cnccc2[nH]1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
+C[C@H](Nc1nc2cnccc2[nH]1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1nc2cnccc2[nH]1)C(C)(C)O; [None]; [None]; [0]
+OCc1ccn(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
+COc1ccc(-c2nc3cnccc3[nH]2)c(OC)c1; ['COc1ccc(C(=O)O)c(OC)c1', 'COc1ccc(C=O)c(OC)c1', 'COc1ccc(C=O)c(OC)c1']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999819993972778, 0.9999502301216125, 0.9998515248298645]
+c1cc2[nH]c(-c3ccc(-n4cncn4)cc3)nc2cn1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1[N+](=O)[O-]']; ['O=Cc1ccc(-n2cncn2)cc1', 'O=C(O)c1ccc(-n2cncn2)cc1', 'O=Cc1ccc(-n2cncn2)cc1', 'O=Cc1ccc(-n2cncn2)cc1']; [0.9999997615814209, 0.9999991655349731, 0.9999986886978149, 0.9999827146530151]
+OCCc1cn(-c2nc3cnccc3[nH]2)cn1; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2nc3cnccc3[nH]2)cc1; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1N', 'O=C(c1ccccc1)c1ccc(I)cc1', 'Nc1ccncc1[N+](=O)[O-]']; ['O=C(Cl)c1ccc(C(=O)c2ccccc2)cc1', 'O=Cc1ccc(C(=O)c2ccccc2)cc1', 'O=C(O)c1ccc(C(=O)c2ccccc2)cc1', 'c1cc2[nH]cnc2cn1', 'O=Cc1ccc(C(=O)c2ccccc2)cc1']; [0.9999869465827942, 0.9990487098693848, 0.9987850785255432, 0.9973978400230408, 0.9840606451034546]
+CSc1nc(C)c(-c2nc3cnccc3[nH]2)[nH]1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1nc2cnccc2[nH]1; [None]; [None]; [0]
+Oc1ccc2nc(-c3nc4cnccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4nc5cnccc5[nH]4)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1nc2cnccc2[nH]1)NCc1ccccn1; [None]; [None]; [0]
+c1cc2[nH]c(-c3nncn3C3CC3)nc2cn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3nc4cnccc4[nH]3)nn2)cc1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=Cc1cn(Cc2ccccc2)nn1', 'O=C(O)c1cn(Cc2ccccc2)nn1']; [0.9998773336410522, 0.9997715353965759]
+[NH3+]CCn1ccc(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
 O=S(=O)(Cc1nc2cnccc2[nH]1)NCc1ccccn1; [None]; [None]; [0]
+CCc1cc(-c2nc3cnccc3[nH]2)nc(N)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3cnccc3[nH]2)s1; [None]; [None]; [0]
+CCCCc1cc(-c2nc3cnccc3[nH]2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2nc3cnccc3[nH]2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1nc2cnccc2[nH]1; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2nc3cnccc3[nH]2)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3nc4cnccc4[nH]3)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3nc4cnccc4[nH]3)c2)cc1; [None]; [None]; [0]
-c1cc(-c2nc3cnccc3[nH]2)c2snnc2c1; [None]; [None]; [0]
-COc1ccc(Oc2nc3cnccc3[nH]2)c(F)c1F; [None]; [None]; [0]
 CC(C)(O)c1cccc(-c2nc3cnccc3[nH]2)n1; [None]; [None]; [0]
+Nc1cncc(-c2nc3cnccc3[nH]2)n1; ['Nc1ccncc1N']; ['Nc1cncc(C(=O)O)n1']; [0.9999191761016846]
+c1cc(-c2nc3cnccc3[nH]2)c2snnc2c1; ['Nc1cccc2nnsc12']; ['c1cc2[nH]cnc2cn1']; [0.9981707334518433]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3nc4cnccc4[nH]3)c2)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3nc4cnccc4[nH]3)nc2c1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3nc4cnccc4[nH]3)nc2NC1=O; [None]; [None]; [0]
+[NH3+]Cc1ccc(Oc2nc3cnccc3[nH]2)c(F)c1; [None]; [None]; [0]
+c1cc(-c2nc3cnccc3[nH]2)c2sccc2c1; ['Nc1ccncc1N', 'Nc1cnccc1[N+](=O)[O-]', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; ['O=Cc1cccc2ccsc12', 'O=Cc1cccc2ccsc12', 'O=C(O)c1cccc2ccsc12', 'OCc1cccc2ccsc12', 'O=C(Cl)c1cccc2ccsc12', 'O=Cc1cccc2ccsc12']; [0.9999740719795227, 0.9998879432678223, 0.999718427658081, 0.999652624130249, 0.9996256828308105, 0.9995672702789307]
+c1cnc2c(-c3nc4cnccc4[nH]3)c[nH]c2c1; ['Nc1ccncc1N', 'Nc1ccncc1N']; ['O=C(O)c1c[nH]c2cccnc12', 'O=Cc1c[nH]c2cccnc12']; [0.9998505711555481, 0.9993342161178589]
+COc1ccc(C#N)cc1-c1nc2cnccc2[nH]1; ['COc1ccc(C#N)cc1C(=O)O', 'COc1ccc(C#N)cc1C=O', 'COc1ccc(C#N)cc1C=O']; ['Nc1ccncc1N', 'Nc1ccncc1N', 'Nc1ccncc1[N+](=O)[O-]']; [0.9999997019767761, 0.9999989867210388, 0.9999986886978149]
+COc1ccc(OC)c(-c2nc3cnccc3[nH]2)c1; ['COc1ccc(OC)c(C(=O)O)c1', 'COc1ccc(OC)c(C=O)c1']; ['Nc1ccncc1N', 'Nc1ccncc1N']; [0.9999972581863403, 0.9998846054077148]
+CC(=O)Nc1ncc(-c2nc3cnccc3[nH]2)[nH]1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2nc3cnccc3[nH]2)c1; ['CN(C)S(=O)(=O)c1cccc(C(=O)O)c1']; ['Nc1ccncc1N']; [0.9999659061431885]
+COc1ccc(Oc2nc3cnccc3[nH]2)c(F)c1F; ['COc1ccc(F)c(F)c1F']; ['Oc1nc2cnccc2[nH]1']; [0.9983487725257874]
+OCCn1cnc(-c2nc3cnccc3[nH]2)c1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4nc5cnccc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
+Nc1nc(-c2nc3cnccc3[nH]2)nc2ccccc12; [None]; [None]; [0]
 O=C(Nc1cccc(-c2nc3cnccc3[nH]2)c1)C1CCNCC1; [None]; [None]; [0]
+c1cc2[nH]c(-c3ncc4cc[nH]c4n3)nc2cn1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2nc3cnccc3[nH]2)CC1; [None]; [None]; [0]
+CN(C)c1cc(-c2nc3cnccc3[nH]2)cnn1; [None]; [None]; [0]
+COc1ncccc1-c1cccc2ncnn12; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'Brc1cccc2ncnn12', 'COc1ncccc1B(O)O']; ['Clc1cccc2ncnn12', 'COc1ncccc1B(O)O', 'Clc1cccc2ncnn12']; [0.9999324083328247, 0.9999000430107117, 0.9971492290496826]
+C1=C(c2c[nH]c3ccccc23)CCN(c2nc3cnccc3[nH]2)C1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)N(C)c1ccc(Br)cc1']; ['CC(=O)N(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999997615814209, 0.9999855756759644, 0.9994375705718994]
+CCOc1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cccc2ncnn12', 'CCOc1ccc(B(O)O)cc1', 'Brc1cccc2ncnn12', 'CCOc1ccc(Br)cc1', 'CCOc1ccc(I)cc1']; ['CCOc1ccc(B(O)O)cc1', 'CCOc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cccc2ncnn12', 'CCOc1ccc(I)cc1', 'Clc1cccc2ncnn12', 'CCOc1ccc(Br)cc1', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1']; [1.0, 1.0, 0.9999974966049194, 0.9999967813491821, 0.9999903440475464, 0.9999717473983765, 0.9999449849128723, 0.9993924498558044]
+CS(=O)(=O)c1cccc(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1']; ['CC1(C)OB(c2cccc(S(C)(=O)=O)c2)OC1(C)C', 'CS(=O)(=O)c1cccc(B(O)O)c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999995827674866, 0.9999966025352478, 0.9999711513519287, 0.9998047947883606]
+COc1cc(-c2cccc3ncnn23)cc(OC)c1OC; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1cc(I)cc(OC)c1OC', 'COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'Brc1cccc2ncnn12', 'COc1cc(Br)cc(OC)c1OC']; ['COc1cc(B(O)O)cc(OC)c1OC', 'COc1cc(B2OC(C)(C)C(C)(C)O2)cc(OC)c1OC', 'COc1cc(I)cc(OC)c1OC', 'c1ccn2ncnc2c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'COc1cc(Br)cc(OC)c1OC', 'Clc1cccc2ncnn12']; [0.999994158744812, 0.9999878406524658, 0.9999815225601196, 0.9995002150535583, 0.9992367029190063, 0.9991220831871033, 0.9987967014312744, 0.9986736178398132, 0.9922195076942444]
+c1ccc2nc(-c3cccc4ncnn34)ncc2c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cccc2ncnn12; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cccc4ncnn34)cc2)CC1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12']; ['N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(B(O)O)c1', 'N#Cc1ccc(O)c(Br)c1']; [0.9983643293380737, 0.9967439770698547, 0.9939343929290771]
+Oc1cccc(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'Oc1cccc(I)c1']; ['OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'OB(O)c1cccc(O)c1', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1', 'c1ccn2ncnc2c1']; [0.999997615814209, 0.9999829530715942, 0.9999699592590332, 0.9997684955596924, 0.9991742372512817, 0.9820877313613892]
+c1cc(-c2ccc(N3CCOCC3)cc2)n2ncnc2c1; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1ccc(N2CCOCC2)cc1']; ['OB(O)c1ccc(N2CCOCC2)cc1', 'Clc1cccc2ncnn12', 'CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CCCC[Sn](CCCC)(CCCC)c1ccc(N2CCOCC2)cc1', 'Brc1cccc2ncnn12']; [1.0, 1.0, 1.0, 0.9999988079071045, 0.9999977946281433, 0.9999940395355225]
+COc1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'Brc1cccc2ncnn12', 'COc1ccc(Br)cc1', 'COc1ccc(I)cc1', 'COc1ccc(I)cc1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'COc1ccc(B(O)O)cc1', 'COc1ccc(I)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'COc1ccc(Br)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1']; [0.9999997615814209, 0.999999463558197, 0.9999947547912598, 0.9999905824661255, 0.9999240636825562, 0.9998915791511536, 0.9996392130851746, 0.9992614388465881, 0.998853325843811]
+Cc1ccc2ncn(-c3cccc4ncnn34)c2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cccc3ncnn23)c1)C1CC1; [None]; [None]; [0]
+c1cc(-c2cnc3cccnn23)n2ncnc2c1; [None]; [None]; [0]
+Cc1cc(Nc2cccc3ncnn23)sn1; ['Cc1cc(N)sn1']; ['Clc1cccc2ncnn12']; [0.9999385476112366]
+c1ccc2[nH]c(-c3cccc4ncnn34)nc2c1; ['Nc1ccccc1N', 'Nc1ccccc1N']; ['O=C(O)c1cccc2ncnn12', 'O=Cc1cccc2ncnn12']; [1.0, 0.9999969601631165]
+O=C([O-])c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Clc1cccc2ncnn12']; ['NC(=O)c1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'NC(=O)c1ccc(B(O)O)cc1']; [1.0, 0.9999992847442627, 0.9999873638153076]
+c1cnc(Nc2cccc3ncnn23)nc1; ['Clc1ncccn1', 'Clc1cccc2ncnn12']; ['Nc1cccc2ncnn12', 'Nc1ncccn1']; [0.9999769926071167, 0.9982413649559021]
+c1ccc2c(-c3cccc4ncnn34)nccc2c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(C(=O)Nc3ccccc3)cc2)OC1(C)C', 'Clc1cccc2ncnn12']; ['O=C(Nc1ccccc1)c1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'O=C(Nc1ccccc1)c1ccc(B(O)O)cc1']; [1.0, 0.999997615814209, 0.9999933838844299]
+CC(=O)NCc1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'Brc1cccc2ncnn12', 'CC(=O)NCc1ccc(Br)cc1']; ['CC(=O)NCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(=O)NCc1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CC(=O)NCc1ccc(Br)cc1', 'c1ccn2ncnc2c1']; [1.0, 0.9999994039535522, 0.9999954700469971, 0.9998974800109863, 0.999787449836731, 0.99908846616745]
+OCCOc1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'Clc1cccc2ncnn12']; ['CC1(C)OB(c2ccc(OCCO)cc2)OC1(C)C', 'OCCOc1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'OCCOc1ccc(B(O)O)cc1']; [0.9999998211860657, 0.9999993443489075, 0.9999958276748657, 0.9999620318412781]
+c1cc(-c2cccc3ncnn23)cc(C2CCNCC2)c1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cccc4ncnn34)cn2)c1; [None]; [None]; [0]
-O=S1(=O)Cc2ccc(-c3cccc4ncnn34)cc2C1; [None]; [None]; [0]
+c1cc(Nc2ccncn2)n2ncnc2c1; ['Clc1ccncn1', 'Clc1cccc2ncnn12']; ['Nc1cccc2ncnn12', 'Nc1ccncn1']; [0.9999978542327881, 0.9960886240005493]
+O=C(c1ccc(-c2cccc3ncnn23)cc1)N1CCOCC1; ['CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12']; ['Clc1cccc2ncnn12', 'CC1(C)OB(c2ccc(C(=O)N3CCOCC3)cc2)OC1(C)C', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1', 'O=C(c1ccc(B(O)O)cc1)N1CCOCC1', 'O=C(c1ccc(Br)cc1)N1CCOCC1']; [1.0, 1.0, 1.0, 0.9999997615814209, 0.9999996423721313, 0.999985933303833]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cccc4ncnn34)cc2)CC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999994039535522, 0.9999985098838806, 0.9999814033508301, 0.9999284744262695]
+O=C(c1ccc(-c2cccc3ncnn23)nc1)N1CCOCC1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'FC(F)(F)c1ccc(I)cc1']; ['OB(O)c1ccc(C(F)(F)F)cc1', 'CC1(C)OB(c2ccc(C(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)c1ccc(I)cc1', 'Clc1cccc2ncnn12', 'FC(F)(F)c1ccc(Br)cc1', 'OB(O)c1ccc(C(F)(F)F)cc1', 'FC(F)(F)c1ccc(Br)cc1', 'FC(F)(F)c1ccc(I)cc1', 'c1ccn2ncnc2c1']; [1.0, 1.0, 1.0, 0.9999995231628418, 0.9999995231628418, 0.9999988079071045, 0.9999978542327881, 0.9999931454658508, 0.9999856948852539]
+C[C@H](O)COc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'Brc1cccc2ncnn12', 'CN(C)S(=O)(=O)c1ccc(I)cc1']; ['CN(C)S(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)S(=O)(=O)c1ccc(B(O)O)cc1', 'CN(C)S(=O)(=O)c1ccc(I)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CN(C)S(=O)(=O)c1ccc(Br)cc1', 'c1ccn2ncnc2c1']; [0.9999978542327881, 0.9999923706054688, 0.999975323677063, 0.9999712705612183, 0.9999046325683594, 0.9997982978820801, 0.9995219111442566, 0.9993903636932373, 0.9973008632659912]
+CN(C)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cccc2ncnn12', 'CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(Br)cc1', 'CN(C)c1ccc(I)cc1', 'CN(C)c1ccc(I)cc1']; ['CN(C)c1ccc(B(O)O)cc1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)c1ccc(Br)cc1', 'Clc1cccc2ncnn12', 'CN(C)c1ccc(Br)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1']; [1.0, 1.0, 0.9999988079071045, 0.9999974966049194, 0.9999939799308777, 0.9999875426292419, 0.9999788999557495, 0.9999537467956543, 0.9999061822891235]
+C[C@@H](O)COc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(-c3cccc4ncnn34)cc2C1; ['CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'Clc1cccc2ncnn12', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'Brc1cccc2ncnn12']; ['O=S1(=O)Cc2ccc(Br)cc2C1', 'O=S1(=O)Cc2ccc(Br)cc2C1', 'c1ccn2ncnc2c1', 'O=S1(=O)Cc2ccc(Br)cc2C1']; [0.9999994039535522, 0.9999165534973145, 0.9995502829551697, 0.9993115663528442]
+CCNS(=O)(=O)c1ccc(-c2cccc3ncnn23)cc1; ['CCNS(=O)(=O)c1ccc(B(O)O)cc1']; ['Clc1cccc2ncnn12']; [0.9997601509094238]
+CCCOc1ccc(-c2cccc3ncnn23)nc1; ['CCCOc1ccc(Br)nc1']; ['Clc1cccc2ncnn12']; [0.9996539354324341]
+CS(=O)(=O)N1CCC(c2cccc3ncnn23)CC1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cccc3ncnn23)s1; [None]; [None]; [0]
+Brc1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Brc1cccc2ncnn12', 'Brc1ccc(I)cc1', 'Brc1ccc(I)cc1', 'Clc1cccc2ncnn12', 'Brc1ccc(Br)cc1', 'Brc1ccc(Br)cc1']; ['CC1(C)OB(c2ccc(Br)cc2)OC1(C)C', 'Clc1cccc2ncnn12', 'OB(O)c1ccc(Br)cc1', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1', 'OB(O)c1ccc(Br)cc1', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999995231628418, 0.9999984502792358, 0.9999878406524658, 0.9999436140060425, 0.9999400973320007, 0.999906063079834, 0.9997475147247314, 0.9965155124664307]
+Cc1c(C(=O)[O-])cccc1-c1cccc2ncnn12; [None]; [None]; [0]
 CC(C)c1cc(-c2cccc3ncnn23)nc(N)n1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2cccc3ncnn23)C1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cccc4ncnn34)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(-c2cccc3ncnn23)nc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc3ncnn23)cc1Cl; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'Brc1cccc2ncnn12', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl']; ['CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'CN(C)c1ccc(Br)cc1Cl', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999994039535522, 0.9999991059303284, 0.9999895095825195, 0.9999762177467346, 0.999901533126831]
+CCN(CC)C(=O)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'Brc1cccc2ncnn12', 'CCN(CC)C(=O)c1ccc(Br)cc1']; ['CCN(CC)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCN(CC)C(=O)c1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Clc1cccc2ncnn12', 'CCN(CC)C(=O)c1ccc(Br)cc1', 'Clc1cccc2ncnn12']; [1.0, 0.9999992847442627, 0.9999985694885254, 0.9999967813491821, 0.9999338984489441, 0.9998539686203003, 0.999669075012207]
+c1cc(-c2ccn3nccc3n2)n2ncnc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3ncnn23)c(C)c1; ['Brc1cccc2ncnn12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1', 'Brc1cccc2ncnn12']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(C)c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CNS(=O)(=O)c1ccc(B(O)O)c(C)c1']; [0.9999476671218872, 0.9996321797370911, 0.9993941783905029, 0.9990701079368591]
 CC(C)c1ccc2nc(-c3cccc4ncnn34)[nH]c2c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1ccccc1-n1cccn1', 'CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'Clc1cccc2ncnn12']; ['CC1(C)OB(c2ccccc2-n2cccn2)OC1(C)C', 'OB(O)c1ccccc1-n1cccn1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'OB(O)c1ccccc1-n1cccn1']; [0.9999993443489075, 0.9999984502792358, 0.9999921321868896, 0.9999879002571106, 0.9999837875366211]
+COc1ccc(Cl)cc1-c1cccc2ncnn12; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'COc1ccc(Cl)cc1Br']; ['COc1ccc(Cl)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(Cl)cc1B(O)O', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.999980092048645, 0.9998512268066406, 0.9995410442352295, 0.9958257675170898, 0.9734642505645752]
+c1ccc2c(-c3cccc4ncnn34)c[nH]c2c1; ['Brc1c[nH]c2ccccc12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2c[nH]c3ccccc23)OC1(C)C', 'Clc1cccc2ncnn12']; ['c1ccn2ncnc2c1', 'OB(O)c1c[nH]c2ccccc12', 'Clc1cccc2ncnn12', 'OB(O)c1c[nH]c2ccccc12']; [0.9998555779457092, 0.9996840357780457, 0.9994282126426697, 0.9969772100448608]
+c1cc(-c2ccc3c(c2)CCO3)n2ncnc2c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1ccc2c(c1)CCO2', 'Clc1cccc2ncnn12', 'Brc1ccc2c(c1)CCO2', 'Brc1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C']; ['OB(O)c1ccc2c(c1)CCO2', 'CC1(C)OB(c2ccc3c(c2)CCO3)OC1(C)C', 'CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'OB(O)c1ccc2c(c1)CCO2', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [1.0, 0.999998927116394, 0.9999985098838806, 0.9999961256980896, 0.9999921321868896, 0.9999815225601196, 0.9999637603759766]
+COc1cc(OC)c(-c2cccc3ncnn23)cc1Cl; ['COc1cc(OC)c(Br)cc1Cl']; ['Clc1cccc2ncnn12']; [0.9833278656005859]
+CC(=O)Nc1cccc(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Brc1cccc2ncnn12', 'CC(=O)Nc1cccc(Br)c1']; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CC(=O)Nc1cccc(Br)c1', 'Clc1cccc2ncnn12']; [0.9999997615814209, 0.9999994039535522, 0.9999879002571106, 0.9999749660491943, 0.9999310374259949, 0.9998519420623779]
+c1cc(-c2scc3c2OCCO3)n2ncnc2c1; [None]; [None]; [0]
+c1cc2c(c(-c3cccc4ncnn34)c1)OCO2; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'Clc1cccc2ncnn12']; ['CC1(C)OB(c2cccc3c2OCO3)OC1(C)C', 'OB(O)c1cccc2c1OCO2', 'Clc1cccc2ncnn12', 'OB(O)c1cccc2c1OCO2']; [0.9999825954437256, 0.9999582767486572, 0.99942946434021, 0.996211051940918]
+c1ccc2ncc(-c3cccc4ncnn34)cc2c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'Brc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1']; ['OB(O)c1cnc2ccccc2c1', 'CC1(C)OB(c2cnc3ccccc3c2)OC1(C)C', 'OB(O)c1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1']; [0.9999994039535522, 0.9999994039535522, 0.9999832510948181, 0.9999704360961914, 0.9999586343765259, 0.9998664855957031, 0.9997556209564209]
+CC(C)(C)c1ccc(-c2cccc3ncnn23)cn1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(Br)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1']; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'CC(C)(C)c1ccc(B(O)O)cn1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999997615814209, 0.9999988079071045, 0.9999903440475464, 0.9999622702598572, 0.9999496936798096]
+CN(C)C(=O)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'CN(C)C(=O)c1ccc(Br)cc1']; ['CN(C)C(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CN(C)C(=O)c1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [1.0, 0.9999995827674866, 0.9999970197677612, 0.9999756813049316, 0.999274730682373]
+c1ccc(-c2cc(-c3cccc4ncnn34)n[nH]2)cc1; [None]; [None]; [0]
+COc1cc(-c2cccc3ncnn23)ccc1O; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(Br)ccc1O', 'Brc1cccc2ncnn12', 'COc1cc(I)ccc1O']; ['COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'c1ccn2ncnc2c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1', 'Clc1cccc2ncnn12', 'COc1cc(Br)ccc1O', 'c1ccn2ncnc2c1']; [0.9999849796295166, 0.9999594688415527, 0.9997271299362183, 0.9995956420898438, 0.9994874000549316, 0.9989224076271057, 0.9970443248748779, 0.9968442320823669, 0.9950557947158813]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cccc2ncnn12; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cccc4ncnn34)nc2c1F; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cccc3ncnn23)c1; ['COc1cccc(C(=O)Cl)c1', 'COc1cccc(C(=O)O)c1', 'CCOC(=O)c1cccc(OC)c1', 'COC(=O)c1cccc(OC)c1']; ['Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Nc1cccc2ncnn12']; [0.9999853372573853, 0.9999169111251831, 0.9987314939498901, 0.9979133605957031]
+CC(C)(C)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC(C)(C)c1ccc(Br)cc1', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC(C)(C)c1ccc(I)cc1']; ['CC(C)(C)c1ccc(B(O)O)cc1', 'CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(I)cc1', 'CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'CC(C)(C)c1ccc(Br)cc1', 'CC(C)(C)c1ccc([B-](F)(F)F)cc1', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1', 'Clc1cccc2ncnn12']; [1.0, 1.0, 1.0, 0.9999995827674866, 0.9999988079071045, 0.9999986886978149, 0.9999982118606567, 0.9999968409538269, 0.9999939203262329, 0.9999914169311523, 0.9999871850013733, 0.9999741315841675]
+CC1(COc2cccc3ncnn23)COC1; ['CC1(CO)COC1', 'Brc1cccc2ncnn12', 'CC1(CO)COC1']; ['Clc1cccc2ncnn12', 'CC1(CO)COC1', 'Fc1cccc2ncnn12']; [0.9998819231987, 0.9995619058609009, 0.9820537567138672]
+Clc1cccc(-n2ccc(-c3cccc4ncnn34)n2)c1; ['Clc1cccc(-n2cccn2)c1']; ['Clc1cccc2ncnn12']; [0.9993500709533691]
+CSc1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'CSc1ccc(Br)cc1']; ['CSc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CSc1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999997615814209, 0.9999997019767761, 0.9999849796295166, 0.9999496936798096, 0.9996771812438965]
+c1ccc2sc(-c3cccc4ncnn34)cc2c1; ['Clc1cccc2ncnn12']; ['OB(O)c1cc2ccccc2s1']; [0.9999933242797852]
+CCN1CCN(Cc2ccc(-c3cccc4ncnn34)cc2)CC1; ['Brc1cccc2ncnn12', 'CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'Brc1cccc2ncnn12', 'CCN1CCN(Cc2ccc(Br)cc2)CC1']; ['CCN1CCN(Cc2ccc(B(O)O)cc2)CC1', 'Clc1cccc2ncnn12', 'CCN1CCN(Cc2ccc(Br)cc2)CC1', 'Clc1cccc2ncnn12']; [1.0, 0.9999938011169434, 0.9999920129776001, 0.9999293088912964]
+Fc1ccc(-c2cccc3ncnn23)c(Cl)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'Clc1cccc2ncnn12']; ['CC1(C)OB(c2ccc(F)cc2Cl)OC1(C)C', 'OB(O)c1ccc(F)cc1Cl', 'Clc1cccc2ncnn12', 'OB(O)c1ccc(F)cc1Cl']; [0.9999998211860657, 0.9999942779541016, 0.999975323677063, 0.9994815587997437]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
+Nc1nc(-c2cccc3ncnn23)cs1; [None]; [None]; [0]
+Cc1cc(-c2cccc3ncnn23)nc(N)n1; [None]; [None]; [0]
+COc1ccc(CNc2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'COc1ccc(CBr)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(CCl)cc1', 'COc1ccc(CN)cc1', 'COc1ccc(C=O)cc1']; ['COc1ccc(CN)cc1', 'Nc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Fc1cccc2ncnn12', 'Nc1cccc2ncnn12']; [0.99994957447052, 0.9998595714569092, 0.9997315406799316, 0.9996380805969238, 0.9985736608505249, 0.9916452169418335]
+COc1ccc(-c2cccc3ncnn23)cc1OC; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccc(I)cc1OC']; ['COc1ccc(B(O)O)cc1OC', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1ccc(Br)cc1OC', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1']; [0.9999986886978149, 0.9999955892562866, 0.999908447265625, 0.9999034404754639, 0.9998646974563599, 0.9998067021369934, 0.9996340274810791, 0.9995244145393372]
+CCc1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cccc2ncnn12', 'CCc1ccc(B(O)O)cc1', 'CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(I)cc1']; ['CCc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CCc1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'CCc1ccc(Br)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1', 'Clc1cccc2ncnn12']; [1.0, 0.9999996423721313, 0.9999922513961792, 0.9999687671661377, 0.9998483657836914, 0.999779462814331, 0.9994573593139648, 0.9994336366653442]
+O=C1CCc2cc(-c3cccc4ncnn34)ccc2N1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
+c1cc(-c2ncc3cccn3n2)n2ncnc2c1; [None]; [None]; [0]
+Clc1ccc(-c2cccc3ncnn23)c(Cl)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'Clc1cccc2ncnn12']; ['CC1(C)OB(c2ccc(Cl)cc2Cl)OC1(C)C', 'OB(O)c1ccc(Cl)cc1Cl', 'Clc1cccc2ncnn12', 'OB(O)c1ccc(Cl)cc1Cl']; [0.9999991655349731, 0.9999948740005493, 0.999913215637207, 0.9996386170387268]
+COc1cc(-c2cccc3ncnn23)ccc1N1CCOCC1; ['Brc1cccc2ncnn12', 'COc1cc(B(O)O)ccc1N1CCOCC1', 'Brc1cccc2ncnn12']; ['COc1cc(B(O)O)ccc1N1CCOCC1', 'Clc1cccc2ncnn12', 'COc1cc(Br)ccc1N1CCOCC1']; [0.9999997019767761, 0.9999979138374329, 0.9999759197235107]
+Brc1cnc(-c2cccc3ncnn23)nc1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2cccc3ncnn23)C1; [None]; [None]; [0]
-Nc1cc(-c2cccc3ncnn23)c2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cccc4ncnn34)c2c1; [None]; [None]; [0]
+Cn1cc(-c2cccc3ncnn23)c(C(F)(F)F)n1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c(C(F)(F)F)n1', 'Cn1cc(B(O)O)c(C(F)(F)F)n1']; [0.9999942183494568, 0.9999843835830688, 0.9999792575836182, 0.9999290704727173]
+CC1(C)Cc2cc(-c3cccc4ncnn34)ccc2O1; [None]; [None]; [0]
+OCCn1cc(-c2cccc3ncnn23)cn1; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'Clc1cccc2ncnn12']; ['OCCn1cc(B(O)O)cn1', 'Clc1cccc2ncnn12', 'OCCn1cc(B(O)O)cn1']; [0.9999821186065674, 0.9999407529830933, 0.9996910095214844]
+COc1cc(-c2cccc3ncnn23)ccc1Cl; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(B(O)O)ccc1Cl', 'COc1cc(Br)ccc1Cl']; ['COc1cc(B(O)O)ccc1Cl', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1Cl', 'COc1cc(Br)ccc1Cl', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999992251396179, 0.9999984502792358, 0.99998539686203, 0.9999581575393677, 0.9999106526374817, 0.9998334050178528]
+c1ccn2nc(-c3cccc4ncnn34)cc2c1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3cccc4ncnn34)c2c1; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C']; ['CC1(C)OB(c2cccc3ccc(O)cc23)OC1(C)C', 'Clc1cccc2ncnn12']; [0.9999912977218628, 0.9998443126678467]
+COc1cc(F)c(-c2cccc3ncnn23)cc1OC; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'COc1cc(F)c(Br)cc1OC']; ['COc1cc(F)c(B2OC(C)(C)C(C)(C)O2)cc1OC', 'COc1cc(F)c(B(O)O)cc1OC', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999991655349731, 0.9999976754188538, 0.9999764561653137, 0.9999538660049438, 0.999718427658081]
+Cc1nc(Nc2cccc3ncnn23)sc1C; ['Cc1nc(Cl)sc1C', 'Cc1nc(N)sc1C']; ['Nc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999991655349731, 0.9999955892562866]
+Cc1cc(Nc2cccc3ncnn23)nn1C; ['Cc1cc(Cl)nn1C', 'Cc1cc(Br)nn1C', 'Brc1cccc2ncnn12', 'Cc1cc(N)nn1C']; ['Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Cc1cc(N)nn1C', 'Clc1cccc2ncnn12']; [0.9999979734420776, 0.9999945163726807, 0.9999936819076538, 0.999975323677063]
+CNC(=O)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNC(=O)c1ccc(B(O)O)cc1']; ['CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [1.0, 0.9999997615814209, 0.9999890327453613, 0.9999818801879883]
+CCNC(=O)c1ccc(-c2cccc3ncnn23)nc1; ['Brc1cccc2ncnn12']; ['CCNC(=O)c1ccc(Br)nc1']; [0.9996157884597778]
+Cc1csc2c(-c3cccc4ncnn34)ncnc12; [None]; [None]; [0]
+Nc1cc(-c2cccc3ncnn23)c2cc[nH]c2n1; ['Clc1cccc2ncnn12']; ['Nc1cc(Br)c2cc[nH]c2n1']; [0.987238347530365]
+O=C(Nc1cccc2ncnn12)c1ccco1; ['Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['O=C(Cl)c1ccco1', 'O=C(O)c1ccco1', 'NC(=O)c1ccco1']; [0.999895453453064, 0.9997122287750244, 0.9996230006217957]
+Clc1cnc(-c2cccc3ncnn23)nc1; [None]; [None]; [0]
+COc1cc(-c2cccc3ncnn23)c(OC)cc1Br; ['Brc1cccc2ncnn12', 'COc1cc(B(O)O)c(OC)cc1Br', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12']; ['COc1cc(I)c(OC)cc1Br', 'Clc1cccc2ncnn12', 'COc1cc(B(O)O)c(OC)cc1Br', 'COc1ccc(OC)c(Br)c1']; [0.9991500377655029, 0.9956588745117188, 0.9915977716445923, 0.7962603569030762]
 COc1cc(CS(C)(=O)=O)ccc1-c1cccc2ncnn12; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cccc3ncnn23)cc1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cccc3ncnn23)CC1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cccc3ncnn23)cc1; [None]; [None]; [0]
+c1cc(-c2ccc3cn[nH]c3c2)n2ncnc2c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C']; ['CC1(C)OB(c2ccc3cn[nH]c3c2)OC1(C)C', 'OB(O)c1ccc2cn[nH]c2c1', 'OB(O)c1ccc2cn[nH]c2c1', 'Clc1cccc2ncnn12']; [1.0, 1.0, 0.9999995231628418, 0.9999948143959045]
+CC(C)(C)c1ccc(C(=O)Nc2cccc3ncnn23)cc1; ['CC(C)(C)c1ccc(C(=O)Cl)cc1', 'CC(C)(C)c1ccc(C(=O)O)cc1', 'CCOC(=O)c1ccc(C(C)(C)C)cc1', 'COC(=O)c1ccc(C(C)(C)C)cc1', 'CC(C)(C)c1ccc(C(N)=O)cc1']; ['Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.999993085861206, 0.9999085664749146, 0.9996264576911926, 0.9996103048324585, 0.9995840787887573]
+CCn1cc(-c2cccc3ncnn23)cn1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999977350234985, 0.999976396560669, 0.9999653697013855, 0.9996145963668823]
 COc1ccc2c(c1)c(-c1cccc3ncnn13)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cccc3ncnn23)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(-c3cccc4ncnn34)[nH]c2c1; [None]; [None]; [0]
+COc1ccc2oc(-c3cccc4ncnn34)cc2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cccc3ncnn23)c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3cccc4ncnn34)c2)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cccc2ncnn12; ['CC(C)c1nn(C)cc1B1OC(C)(C)C(C)(C)O1']; ['Clc1cccc2ncnn12']; [0.9999865293502808]
+COc1ccc(F)c(C(=O)Nc2cccc3ncnn23)c1; ['COc1ccc(F)c(C(=O)O)c1', 'COC(=O)c1cc(OC)ccc1F']; ['Nc1cccc2ncnn12', 'Nc1cccc2ncnn12']; [0.9998223781585693, 0.9987703561782837]
+c1ccc2oc(-c3cccc4ncnn34)cc2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cccc2ncnn12; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'FC(F)(F)Oc1ccc(I)cc1', 'Clc1cccc2ncnn12']; ['OB(O)c1ccc(OC(F)(F)F)cc1', 'Clc1cccc2ncnn12', 'CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(Br)cc1', 'FC(F)(F)Oc1ccc(I)cc1', 'c1ccn2ncnc2c1', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9999997615814209, 0.9999996423721313]
+Cn1cc(-c2cccc3ncnn23)c2ccccc21; ['Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21', 'Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999974370002747, 0.9999449253082275]
+COc1ccc2nc(-c3cccc4ncnn34)[nH]c2c1; [None]; [None]; [0]
 c1cc(-c2ncn3c2CCCC3)n2ncnc2c1; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3cccc4ncnn34)ccc21; [None]; [None]; [0]
+c1cc(-c2ncc3sccc3n2)n2ncnc2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cccc3ncnn23)c1)N1CCCC1; [None]; [None]; [0]
+CCc1cccc(-c2cccc3ncnn23)n1; ['Brc1cccc2ncnn12', 'CCc1cccc(Br)n1']; ['CCc1cccc(Br)n1', 'Clc1cccc2ncnn12']; [0.9995312690734863, 0.9907338619232178]
+Cn1ncc2cc(-c3cccc4ncnn34)ccc21; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21', 'Cn1ncc2cc(Br)ccc21', 'Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(Br)ccc21']; [1.0, 1.0, 0.9999998211860657, 0.9999974966049194, 0.9999910593032837, 0.9999845027923584, 0.9999551773071289]
+CN(C)c1ccc(-c2cccc3ncnn23)cn1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Brc1cccc2ncnn12', 'CN(C)c1ccc(Br)cn1']; ['CN(C)c1ccc(B(O)O)cn1', 'CN(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cn1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CN(C)c1ccc(Br)cn1', 'Clc1cccc2ncnn12']; [1.0, 0.9999998211860657, 0.9999984502792358, 0.9999934434890747, 0.999987006187439, 0.9999637007713318]
+Cc1n[nH]c2cc(-c3cccc4ncnn34)ccc12; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Brc1cccc2ncnn12']; ['Cc1n[nH]c2cc(B(O)O)ccc12', 'Cc1n[nH]c2cc(B3OC(C)(C)C(C)(C)O3)ccc12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Cc1n[nH]c2cc(Br)ccc12']; [1.0, 1.0, 0.9999971985816956, 0.9999949932098389, 0.9999737739562988]
+O=C(Nc1cccc2ncnn12)c1cccc(OC(F)(F)F)c1; ['Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'COC(=O)c1cccc(OC(F)(F)F)c1']; ['O=C(Cl)c1cccc(OC(F)(F)F)c1', 'O=C(O)c1cccc(OC(F)(F)F)c1', 'Nc1cccc2ncnn12']; [0.9999997615814209, 0.9999983310699463, 0.9999514818191528]
+Cc1cc(-c2cccc3ncnn23)cc(C)c1OCCO; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cccc4ncnn34)[nH]c2c1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cccc4ncnn34)cn2)CC1; [None]; [None]; [0]
-O=C(Nc1cccc2ncnn12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'Brc1cccc2ncnn12', 'O=C1CCCN1c1cccc(Br)c1']; ['CC1(C)OB(c2cccc(N3CCCC3=O)c2)OC1(C)C', 'O=C1CCCN1c1cccc(Br)c1', 'Clc1cccc2ncnn12', 'O=C1CCCN1c1cccc(Br)c1', 'c1ccn2ncnc2c1']; [0.9999998211860657, 0.9999988079071045, 0.9999854564666748, 0.9999690055847168, 0.9999485611915588]
+Cn1nc(Cl)c2cc(-c3cccc4ncnn34)ccc21; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cccc2ncnn12; [None]; [None]; [0]
+OCCc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3ncnn23)c(OC)c1; ['Brc1cccc2ncnn12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1']; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'Clc1cccc2ncnn12']; [0.9999261498451233, 0.998832643032074]
+COc1cc(S(C)(=O)=O)ccc1-c1cccc2ncnn12; ['COc1cc(S(C)(=O)=O)ccc1Br']; ['Clc1cccc2ncnn12']; [0.9998862743377686]
 Cc1ncc(-c2ccc(-c3cccc4ncnn34)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cccc2ncnn12; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-c1cccc2ncnn12; [None]; [None]; [0]
-Cc1cc(Nc2cccc3ncnn23)ncc1F; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'CCNC(=O)c1ccc(B(O)O)cc1']; ['CCNC(=O)c1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12']; [0.9999997615814209, 0.9999781847000122]
+CN(C)C(=O)c1ccc(-c2cccc3ncnn23)c(Cl)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cccc2ncnn12; [None]; [None]; [0]
+Fc1ccc(Nc2cccc3ncnn23)nc1; ['Fc1ccc(Br)nc1', 'Fc1ccc(Cl)nc1', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Fc1ccc(F)nc1', 'Fc1cccc2ncnn12']; ['Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Nc1ccc(F)cn1', 'Nc1ccc(F)cn1', 'Nc1cccc2ncnn12', 'Nc1ccc(F)cn1']; [0.9999995231628418, 0.9999989867210388, 0.9999963045120239, 0.9999844431877136, 0.9999184608459473, 0.9974782466888428]
+Cc1cc(Nc2cccc3ncnn23)ncc1F; ['Cc1cc(Cl)ncc1F', 'Cc1cc(Br)ncc1F', 'Brc1cccc2ncnn12', 'Cc1cc(N)ncc1F', 'Cc1cc(N)ncc1F']; ['Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Cc1cc(N)ncc1F', 'Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; [1.0, 0.9999997615814209, 0.9999953508377075, 0.9999694228172302, 0.9953248500823975]
+c1ccc(Nc2cccc3ncnn23)nc1; ['Brc1ccccn1', 'Brc1cccc2ncnn12', 'Clc1ccccn1', 'Clc1cccc2ncnn12']; ['Nc1cccc2ncnn12', 'Nc1ccccn1', 'Nc1cccc2ncnn12', 'Nc1ccccn1']; [0.999998152256012, 0.9999964237213135, 0.9999918937683105, 0.9999680519104004]
+CCNC(=O)Cc1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cccc3ncnn23)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc2ncnn12; ['CNC(=O)c1ccccc1B(O)O']; ['Clc1cccc2ncnn12']; [0.9915165901184082]
+CN(C)C(=O)c1ccc(-c2cccc3ncnn23)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cccc3ncnn23)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc2ncnn12; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CCOc1ccccc1Br', 'CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1']; ['CCOc1ccccc1B(O)O', 'CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999946355819702, 0.9999463558197021, 0.999824047088623, 0.9997290372848511, 0.998902440071106]
+Fc1cc(F)cc(Cc2cccc3ncnn23)c1; ['Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['Fc1cc(F)cc(C[Zn]Br)c1', 'Fc1cc(F)cc(C[Zn]Cl)c1']; [0.9882549047470093, 0.896581768989563]
 Cn1nc(-c2cccc3ncnn23)cc1C(C)(C)O; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc2ncnn12; ['Brc1cccc2ncnn12', 'CC(C)S(=O)(=O)c1ccccc1Br', 'CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['CC(C)S(=O)(=O)c1ccccc1B(O)O', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.999946117401123, 0.9999363422393799, 0.9996267557144165]
+Cc1ccc(C(=O)NCCO)cc1-c1cccc2ncnn12; [None]; [None]; [0]
+COC(C)(C)CCc1cccc2ncnn12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cccc2ncnn12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc3ncnn23)[nH]1; [None]; [None]; [0]
+c1ccc2c(-c3cccc4ncnn34)ccnc2c1; ['Brc1cccc2ncnn12', 'Brc1ccnc2ccccc12', 'CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'Clc1cccc2ncnn12']; ['OB(O)c1ccnc2ccccc12', 'c1ccn2ncnc2c1', 'Clc1cccc2ncnn12', 'OB(O)c1ccnc2ccccc12']; [0.9999959468841553, 0.9998906850814819, 0.9998123645782471, 0.9997053742408752]
+FC(F)(F)c1cccc(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'FC(F)(F)c1cccc(I)c1']; ['OB(O)c1cccc(C(F)(F)F)c1', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'OB(O)c1cccc(C(F)(F)F)c1', 'Clc1cccc2ncnn12', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'c1ccn2ncnc2c1']; [0.9999997615814209, 0.9999992847442627, 0.9999967217445374, 0.9999943971633911, 0.9999836683273315, 0.9999635219573975, 0.9999632835388184, 0.9998304843902588]
+FC(F)(F)Oc1ccccc1-c1cccc2ncnn12; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C']; ['FC(F)(F)Oc1ccccc1I', 'OB(O)c1ccccc1OC(F)(F)F', 'CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'OB(O)c1ccccc1OC(F)(F)F', 'Clc1cccc2ncnn12']; [1.0, 0.9999995231628418, 0.9999982118606567, 0.9999618530273438, 0.9999175667762756]
+CP(C)(=O)c1ccccc1-c1cccc2ncnn12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc4ncnn34)cc2c1=O; ['Clc1cccc2ncnn12', 'Brc1cccc2ncnn12']; ['Cn1cnc2ccc(Br)cc2c1=O', 'Cn1cnc2ccc(Br)cc2c1=O']; [0.9999878406524658, 0.9999871253967285]
+c1ccc(Cn2cc(-c3cccc4ncnn34)cn2)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C']; ['OB(O)c1cnn(Cc2ccccc2)c1', 'CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'OB(O)c1cnn(Cc2ccccc2)c1', 'Clc1cccc2ncnn12']; [0.9999996423721313, 0.9999994039535522, 0.9999831914901733, 0.999965488910675]
+O=C(Nc1cccc(-c2cccc3ncnn23)c1)c1ccccc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'Clc1cccc2ncnn12']; ['CC1(C)OB(c2cccc(NC(=O)c3ccccc3)c2)OC1(C)C', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1', 'Clc1cccc2ncnn12', 'O=C(Nc1cccc(B(O)O)c1)c1ccccc1']; [0.9999997615814209, 0.9999996423721313, 0.9999485611915588, 0.9999397397041321]
+NC(=O)c1ccccc1-c1cccc2ncnn12; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'Clc1cccc2ncnn12', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1Br']; [0.9999864101409912, 0.9999542236328125, 0.999539852142334, 0.9977846145629883, 0.9969861507415771]
+CC(C)C(=O)COc1cccc2ncnn12; [None]; [None]; [0]
+Cc1ccc(-c2cccc3ncnn23)c(Br)c1; ['Cc1ccc(B(O)O)c(Br)c1', 'Brc1cccc2ncnn12']; ['Clc1cccc2ncnn12', 'Cc1ccc(B(O)O)c(Br)c1']; [0.9966917634010315, 0.9854997992515564]
+Clc1ccc(Cl)c(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Brc1cccc2ncnn12', 'Clc1ccc(Cl)c(I)c1', 'Clc1ccc(Cl)c(Br)c1', 'Clc1cccc2ncnn12']; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'Clc1ccc(Cl)c(I)c1', 'Clc1cccc2ncnn12', 'OB(O)c1cc(Cl)ccc1Cl', 'c1ccn2ncnc2c1', 'Clc1cccc2ncnn12', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999966621398926, 0.9999876022338867, 0.9999393224716187, 0.9999059438705444, 0.999380350112915, 0.9983586072921753, 0.9973099231719971]
+CC(C)(C)c1nc(-c2cccc3ncnn23)cs1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3cccc4ncnn34)[nH]2)cc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cccc2ncnn12; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1cccc2ncnn12; ['Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['OB(O)c1c(Cl)cccc1Cl', 'OB(O)c1c(Cl)cccc1Cl']; [0.9999682903289795, 0.9950582385063171]
+COc1cnc(-c2cccc3ncnn23)nc1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Cc1ccc(Cl)c(B(O)O)c1']; ['Cc1ccc(Cl)c(B(O)O)c1', 'Clc1cccc2ncnn12']; [0.9999386072158813, 0.9947910308837891]
+c1cncc(CNc2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'BrCc1cccnc1', 'Nc1cccc2ncnn12', 'Fc1cccc2ncnn12']; ['NCc1cccnc1', 'NCc1cccnc1', 'Nc1cccc2ncnn12', 'O=Cc1cccnc1', 'NCc1cccnc1']; [0.9999743103981018, 0.9999545812606812, 0.9997806549072266, 0.9994884729385376, 0.9994065165519714]
+c1ccn2c(-c3cccc4ncnn34)cnc2c1; [None]; [None]; [0]
+Brc1cccc(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'Clc1cccc2ncnn12', 'Brc1cccc(I)c1', 'Brc1cccc(I)c1']; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'OB(O)c1cccc(Br)c1', 'Clc1cccc2ncnn12', 'OB(O)c1cccc(Br)c1', 'c1ccn2ncnc2c1', 'Clc1cccc2ncnn12']; [0.9999920129776001, 0.9999802112579346, 0.9999164342880249, 0.9998534321784973, 0.9998008012771606, 0.9996117353439331]
+c1cc(Cn2cncn2)cc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cccc2ncnn12; [None]; [None]; [0]
+c1cncc(Nc2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccnc1', 'Ic1cccnc1', 'Clc1cccc2ncnn12']; ['Nc1cccnc1', 'Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Nc1cccnc1']; [0.9999921321868896, 0.9999803304672241, 0.9998027086257935, 0.9997256398200989]
+Cc1nc(N)sc1-c1cccc2ncnn12; [None]; [None]; [0]
+c1cnn2ncc(-c3cccc4ncnn34)c2c1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['Clc1cccc2ncnn12']; [0.9997649192810059]
+CNc1nc(C)c(-c2cccc3ncnn23)s1; [None]; [None]; [0]
+c1cc(NCCc2c[nH]cn2)n2ncnc2c1; ['Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['NCCc1c[nH]cn1', 'NCCc1c[nH]cn1']; [0.9999737739562988, 0.9999518394470215]
+c1ccc2cc(-c3cccc4ncnn34)ccc2c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1ccc2ccccc2c1', 'Clc1cccc2ncnn12', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'Brc1cccc2ncnn12', 'OB(O)c1ccc2ccccc2c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1']; [0.9999997615814209, 0.9999991655349731, 0.9999802708625793, 0.9999786019325256, 0.9999608993530273, 0.9998321533203125, 0.9998081922531128]
+O=C(Nc1cccc2ncnn12)c1cccs1; ['Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CCOC(=O)c1cccs1']; ['O=C(Cl)c1cccs1', 'O=C(O)c1cccs1', 'NC(=O)c1cccs1', 'Nc1cccc2ncnn12']; [0.999991774559021, 0.9999176263809204, 0.9997665882110596, 0.9977871179580688]
+NC(=O)c1c(F)cccc1-c1cccc2ncnn12; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1cccc2ncnn12; [None]; [None]; [0]
+c1ccc(CCNc2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'ClCCc1ccccc1', 'Nc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'BrCCc1ccccc1', 'Fc1cccc2ncnn12', 'ICCc1ccccc1']; ['NCCc1ccccc1', 'Nc1cccc2ncnn12', 'O=CCc1ccccc1', 'NCCc1ccccc1', 'Nc1cccc2ncnn12', 'NCCc1ccccc1', 'Nc1cccc2ncnn12']; [0.9999418258666992, 0.9999195337295532, 0.9998602867126465, 0.9997305870056152, 0.9996669292449951, 0.9994747042655945, 0.9992733597755432]
+c1ccc2c(-c3cccc4ncnn34)cncc2c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'Brc1cncc2ccccc12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'OB(O)c1cncc2ccccc12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Brc1cncc2ccccc12', 'OB(O)c1cncc2ccccc12']; [0.9999984502792358, 0.9999947547912598, 0.9999935030937195, 0.9998644590377808, 0.999845564365387, 0.9998356103897095]
 Cc1c(-c2cccc3ncnn23)sc(=O)n1C; [None]; [None]; [0]
-c1cnn2ncc(-c3cccc4ncnn34)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccc3ncnn23)o1; [None]; [None]; [0]
+c1ccc2c(c1)ncn2-c1cccc2ncnn12; [None]; [None]; [0]
+Nc1nccc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cccc4ncnn34)ccc12; ['Nc1[nH]nc2cc(Br)ccc12']; ['c1ccn2ncnc2c1']; [0.9979546070098877]
+Clc1ccc(CNc2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Clc1ccc(CBr)cc1', 'Clc1cccc2ncnn12', 'Fc1cccc2ncnn12', 'Nc1cccc2ncnn12']; ['NCc1ccc(Cl)cc1', 'Nc1cccc2ncnn12', 'NCc1ccc(Cl)cc1', 'NCc1ccc(Cl)cc1', 'O=Cc1ccc(Cl)cc1']; [0.999948263168335, 0.9999120235443115, 0.998462975025177, 0.9975287914276123, 0.9923888444900513]
+CCCn1cnc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cccc4ncnn34)cc2)cn1; ['Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1', 'Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [1.0, 0.9999996423721313]
+O=C([O-])Cc1cccc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
+c1cc(-c2ccc(-c3cn[nH]c3)cc2)n2ncnc2c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Clc1cccc2ncnn12', 'Brc1ccc(-c2cn[nH]c2)cc1']; ['OB(O)c1ccc(-c2cn[nH]c2)cc1', 'CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'Clc1cccc2ncnn12', 'OB(O)c1ccc(-c2cn[nH]c2)cc1', 'Clc1cccc2ncnn12']; [1.0, 1.0, 0.9999997615814209, 0.9999966621398926, 0.9999719262123108]
+c1cc(Nc2ccncc2)n2ncnc2c1; ['Nc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1ccncc1', 'Clc1ccncc1', 'Ic1ccncc1']; ['OB(O)c1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Nc1cccc2ncnn12']; [0.999998152256012, 0.9999887347221375, 0.9999831914901733, 0.999963641166687, 0.9999252557754517, 0.999814510345459]
 CN1c2ccc(-c3cccc4ncnn34)cc2CS1(=O)=O; [None]; [None]; [0]
-COc1cc(-c2cccc3ncnn23)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)n1cc(-c2cccc3ncnn23)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1cccc2ncnn12; ['Fc1ccccc1CBr', 'Clc1cccc2ncnn12', 'Fc1ccccc1CCl', 'Nc1cccc2ncnn12']; ['Nc1cccc2ncnn12', 'NCc1ccccc1F', 'Nc1cccc2ncnn12', 'O=Cc1ccccc1F']; [0.999984860420227, 0.999954342842102, 0.9999276995658875, 0.9999266862869263]
+OCc1cccc(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12']; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'OCc1cccc(B(O)O)c1', 'Clc1cccc2ncnn12', 'OCc1cccc(B(O)O)c1', 'OCc1cccc(I)c1', 'OCc1cccc(Br)c1']; [0.9999984502792358, 0.9999949336051941, 0.9999827146530151, 0.9999819397926331, 0.9999003410339355, 0.9996529221534729]
+c1cc(-c2csc3ncncc23)n2ncnc2c1; [None]; [None]; [0]
+CSc1nc(-c2cccc3ncnn23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc2ncnn12; [None]; [None]; [0]
 c1cc(CCc2c[nH]nn2)n2ncnc2c1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cccc2ncnn12; [None]; [None]; [0]
-O=C(Nc1cccc2ncnn12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CC(C)n1cc(-c2cccc3ncnn23)nn1; [None]; [None]; [0]
+COc1cc(-c2cccc3ncnn23)ccc1C(=O)[O-]; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cccc4ncnn34)cc2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'N#CCCc1cccc(Br)c1']; ['N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(B(O)O)c1', 'N#CCCc1cccc(Br)c1', 'N#CCCc1cccc(Br)c1', 'c1ccn2ncnc2c1']; [0.9999995231628418, 0.9999921321868896, 0.9999809861183167, 0.9999051094055176, 0.9998490810394287]
+c1ccc(Oc2cccc3ncnn23)nc1; [None]; [None]; [0]
+O=C(Nc1cccc2ncnn12)c1c(Cl)cccc1Cl; ['Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'COC(=O)c1c(Cl)cccc1Cl', 'CCOC(=O)c1c(Cl)cccc1Cl']; ['O=C(Cl)c1c(Cl)cccc1Cl', 'O=C(O)c1c(Cl)cccc1Cl', 'NC(=O)c1c(Cl)cccc1Cl', 'Nc1cccc2ncnn12', 'Nc1cccc2ncnn12']; [0.9999783039093018, 0.9998930096626282, 0.9993544816970825, 0.9987216591835022, 0.9897472858428955]
+CCC(=O)Nc1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cccc2ncnn12']; [1.0, 0.9999984502792358]
+Fc1ccc(-c2cccc3ncnn23)c(C(F)(F)F)c1; ['Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['OB(O)c1ccc(F)cc1C(F)(F)F', 'OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9999950528144836, 0.9999368190765381]
+Nc1ncncc1-c1cccc2ncnn12; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cccc3ncnn23)CC1; ['Brc1cccc2ncnn12', 'CS(=O)(=O)C1CCNCC1', 'CS(=O)(=O)C1CCNCC1']; ['CS(=O)(=O)C1CCNCC1', 'Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; [0.999956488609314, 0.9986823797225952, 0.9947367310523987]
+NC(=O)CCCc1cccc2ncnn12; [None]; [None]; [0]
 CC(C)(COc1cccc2ncnn12)S(C)(=O)=O; [None]; [None]; [0]
+c1ccn2ncc(-c3cccc4ncnn34)c2c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'Clc1cccc2ncnn12']; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'OB(O)c1cnn2ccccc12', 'Clc1cccc2ncnn12', 'OB(O)c1cnn2ccccc12']; [0.9999798536300659, 0.9999575614929199, 0.9999473690986633, 0.9998912811279297]
+CCCn1cc(-c2cccc3ncnn23)cn1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.999998927116394, 0.999996542930603, 0.9999828338623047, 0.9998766183853149]
+COc1ccc(-c2cccc3ncnn23)cc1Cl; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(I)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'COc1ccc(I)cc1Cl']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl', 'COc1ccc(Br)cc1Cl', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999992847442627, 0.999998927116394, 0.999987781047821, 0.9999750852584839, 0.9998319149017334, 0.9998253583908081, 0.9996120929718018, 0.9959572553634644]
+CCNc1nc2ccc(-c3cccc4ncnn34)cc2s1; [None]; [None]; [0]
+O=c1cc(-c2cccc3ncnn23)cc[nH]1; ['Brc1cccc2ncnn12', 'CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C', 'Clc1cccc2ncnn12']; [0.9999980926513672, 0.9996217489242554]
+COc1cc(CCc2cccc3ncnn23)cc(OC)c1; ['COc1cc(CBr)cc(OC)c1']; ['Cc1cccc2ncnn12']; [0.9150620102882385]
+C[C@@H](Oc1cccc2ncnn12)c1c(Cl)cncc1Cl; ['Brc1cccc2ncnn12', 'C[C@@H](O)c1c(Cl)cncc1Cl', 'C[C@@H](O)c1c(Cl)cncc1Cl']; ['C[C@@H](O)c1c(Cl)cncc1Cl', 'Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; [0.9999933838844299, 0.9999631643295288, 0.9999158978462219]
+CC(C)(O)CC(=O)NCCc1cccc2ncnn12; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cccc3ncnn23)cc1; [None]; [None]; [0]
+CCN(CC)c1cccc2ncnn12; ['Brc1cccc2ncnn12', 'CCNCC']; ['CCNCC', 'Clc1cccc2ncnn12']; [0.9959902763366699, 0.9918091297149658]
+O=C1CCc2cccc(-c3cccc4ncnn34)c21; ['CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12']; ['O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21', 'O=C1CCc2cccc(Br)c21']; [0.9999810457229614, 0.9991859793663025, 0.997638463973999]
+COc1ccncc1Nc1cccc2ncnn12; ['COc1ccncc1N']; ['Clc1cccc2ncnn12']; [0.9999972581863403]
+C[S@](=O)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999990463256836, 0.9999966621398926, 0.999974250793457, 0.9997687339782715]
 [NH3+]Cc1ccc(-c2cccc3ncnn23)cc1C(F)(F)F; [None]; [None]; [0]
-C[C@@H](Oc1cccc2ncnn12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc2ncnn12; [None]; [None]; [0]
+c1ccc(-c2ccncc2Nc2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cnccc1-c1ccccc1', 'Nc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; ['Nc1cnccc1-c1ccccc1', 'Nc1cccc2ncnn12', 'OB(O)c1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1', 'Nc1cnccc1-c1ccccc1']; [1.0, 0.9999995231628418, 0.9999974370002747, 0.9999971389770508, 0.9999709725379944]
+c1ccc2ncc(Nc3cccc4ncnn34)cc2c1; ['Nc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cnc2ccccc2c1', 'Fc1cnc2ccccc2c1', 'Brc1cnc2ccccc2c1', 'Clc1cccc2ncnn12', 'Ic1cnc2ccccc2c1', 'Fc1cccc2ncnn12']; ['OB(O)c1cnc2ccccc2c1', 'Nc1cnc2ccccc2c1', 'Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Nc1cccc2ncnn12', 'Nc1cnc2ccccc2c1', 'Nc1cccc2ncnn12', 'Nc1cnc2ccccc2c1']; [0.9999992251396179, 0.9999968409538269, 0.9999905228614807, 0.9999779462814331, 0.9999691247940063, 0.9999592304229736, 0.9999406337738037, 0.9998314380645752]
+CC(C)Oc1cncc(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(Br)c1', 'Brc1cccc2ncnn12', 'CC(C)Oc1cncc(B(O)O)c1']; ['CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CC(C)Oc1cncc(Br)c1', 'Clc1cccc2ncnn12']; [1.0, 1.0, 0.9999998211860657, 0.9999992847442627, 0.9999991655349731, 0.9999980330467224]
+COc1cccc(F)c1-c1cccc2ncnn12; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'Brc1cccc2ncnn12', 'COc1cccc(F)c1Br', 'COc1cccc(F)c1B(O)O', 'COc1cccc(F)c1I']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O', 'Clc1cccc2ncnn12', 'COc1cccc(F)c1Br', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999995827674866, 0.9999992847442627, 0.999992847442627, 0.9999910593032837, 0.999983012676239, 0.9999816417694092, 0.9999135732650757]
+c1cc(-c2cnc3[nH]ccc3c2)n2ncnc2c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2[nH]ccc2c1']; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [1.0, 1.0, 0.9999986290931702, 0.9999980926513672, 0.9999884366989136]
+c1cc(-c2c[nH]c3cnccc23)n2ncnc2c1; ['Brc1c[nH]c2cnccc12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['Clc1cccc2ncnn12', 'OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12']; [0.9999457001686096, 0.9997109174728394, 0.9980266094207764]
+O=c1[nH]ccc2oc(-c3cccc4ncnn34)cc12; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [1.0, 1.0, 0.9999973177909851, 0.9999890327453613]
+CS(=O)(=O)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [1.0, 0.9999997019767761, 0.999996542930603, 0.999958872795105]
 O=c1[nH]cc(Br)c2sc(-c3cccc4ncnn34)cc12; [None]; [None]; [0]
-c1ccc(-c2ccncc2Nc2cccc3ncnn23)cc1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cccc2ncnn12; [None]; [None]; [0]
+CC1(c2cccc3ncnn23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cccc2ncnn12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 C[C@H](Nc1cccc2ncnn12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
+C[C@H](Nc1cccc2ncnn12)C(C)(C)O; ['Brc1cccc2ncnn12', 'C[C@H](N)C(C)(C)O', 'C[C@H](N)C(C)(C)O']; ['C[C@H](N)C(C)(C)O', 'Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; [0.9989101886749268, 0.9940788745880127, 0.972522497177124]
+OCc1ccn(-c2cccc3ncnn23)n1; [None]; [None]; [0]
+C[C@@H](Nc1cccc2ncnn12)C(C)(C)O; ['Brc1cccc2ncnn12', 'C[C@@H](N)C(C)(C)O', 'C[C@@H](N)C(C)(C)O']; ['C[C@@H](N)C(C)(C)O', 'Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; [0.9989101886749268, 0.9940788745880127, 0.972522497177124]
+c1ccc2c(c1)cnn2-c1cccc2ncnn12; ['Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; ['c1ccc2[nH]ncc2c1', 'c1ccc2[nH]ncc2c1']; [0.9268808960914612, 0.9177526235580444]
+Cc1cc(-c2cccc3ncnn23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cccc2ncnn12; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['OB(O)c1c(F)cccc1Cl', 'CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'Fc1cccc(Cl)c1Br', 'Clc1cccc2ncnn12', 'Fc1cccc(Cl)c1I', 'OB(O)c1c(F)cccc1Cl']; [1.0, 1.0, 0.9999994039535522, 0.9999983906745911, 0.9999953508377075, 0.9999895095825195]
+OCCc1cn(-c2cccc3ncnn23)cn1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cccc4ncnn34)[nH]c2c1; ['Nc1ccc(O)cc1N']; ['O=Cc1cccc2ncnn12']; [0.9999905824661255]
+Oc1cccc2c1cnn2-c1cccc2ncnn12; ['Clc1cccc2ncnn12']; ['Oc1cccc2[nH]ncc12']; [0.8554344177246094]
+c1cc(-c2ccc(-n3cncn3)cc2)n2ncnc2c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cccc3ncnn23)cc1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Clc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'Clc1cccc2ncnn12', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9999995231628418, 0.9999992251396179, 0.9999780654907227, 0.9999076128005981, 0.9992941617965698, 0.9975894093513489]
+COc1ccc(-c2cccc3ncnn23)c(OC)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(I)c(OC)c1']; ['COc1ccc(B(O)O)c(OC)c1', 'COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(Br)c(OC)c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'c1ccn2ncnc2c1']; [0.9999819397926331, 0.9999187588691711, 0.9997585415840149, 0.9996626973152161, 0.9994404315948486, 0.9974859952926636, 0.9950132369995117]
+c1cc(-c2nncn2C2CC2)n2ncnc2c1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cccc4ncnn34)nn2)cc1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc3ncnn23)[nH]1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4cccc5ncnn45)n3n2)cc1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc2ncnn12; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
+O=C(CCc1cccc2ncnn12)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1cccc2ncnn12)NCc1ccccn1; [None]; [None]; [0]
+CCc1cc(-c2cccc3ncnn23)nc(N)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3ncnn23)s1; [None]; [None]; [0]
+Nc1nnc(-c2cccc3ncnn23)s1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc3ncnn23)n1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC(C)(O)c1cccc(Br)n1']; ['CC(C)(O)c1cccc(Cl)n1', 'CC(C)(O)c1cccc(Br)n1', 'Clc1cccc2ncnn12']; [0.9996330738067627, 0.9993972778320312, 0.9855866432189941]
+CCCCc1cc(-c2cccc3ncnn23)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccc2ncnn12; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cccc4ncnn34)nc2NC1=O; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'Brc1cccc2ncnn12']; ['c1ccn2ncnc2c1', 'CC1(C)Oc2cccnc2NC1=O']; [0.9992960691452026, 0.991053581237793]
+Nc1cncc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cccc3ncnn23)c(F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cccc4ncnn34)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc4ncnn34)c2)cc1; [None]; [None]; [0]
+c1cc(-c2cccc3ncnn23)c2sccc2c1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'Brc1cccc2ncnn12', 'Clc1cccc2ncnn12']; ['Clc1cccc2ncnn12', 'OB(O)c1cccc2ccsc12', 'OB(O)c1cccc2ccsc12']; [0.999998152256012, 0.9999350905418396, 0.9998005032539368]
 c1cc(-c2cccc3ncnn23)c2snnc2c1; [None]; [None]; [0]
-COc1ccc(Oc2cccc3ncnn23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccc3ncnn23)n1; [None]; [None]; [0]
+c1ccc2sc(-c3cccc4ncnn34)nc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc4ncnn34)c2)cc1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc3ncnn23)CC1; [None]; [None]; [0]
+c1cnc2c(-c3cccc4ncnn34)c[nH]c2c1; ['Brc1c[nH]c2cccnc12', 'CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['c1ccn2ncnc2c1', 'Clc1cccc2ncnn12']; [0.9999485015869141, 0.998871922492981]
+COc1ccc(Oc2cccc3ncnn23)c(F)c1F; ['COc1ccc(O)c(F)c1F', 'Brc1cccc2ncnn12', 'COc1ccc(O)c(F)c1F']; ['Clc1cccc2ncnn12', 'COc1ccc(O)c(F)c1F', 'Fc1cccc2ncnn12']; [0.9999113082885742, 0.999863862991333, 0.9976204633712769]
+COc1ccc(C#N)cc1-c1cccc2ncnn12; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CC1(C)OB(c2cccc3ncnn23)OC1(C)C', 'COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'Brc1cccc2ncnn12', 'COc1ccc(C#N)cc1Br']; ['COc1ccc(C#N)cc1B(O)O', 'COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1Br', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'COc1ccc(C#N)cc1Br', 'Clc1cccc2ncnn12']; [0.9999950528144836, 0.9999920129776001, 0.9999854564666748, 0.9998925924301147, 0.9998456835746765, 0.9996811747550964, 0.9996703863143921]
+CC(=O)Nc1ncc(-c2cccc3ncnn23)[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(Br)c1']; ['COc1ccc(OC)c(B(O)O)c1', 'COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12']; [0.9999922513961792, 0.9999796748161316, 0.9997251033782959, 0.9992362260818481, 0.998607873916626]
+CN(C)c1cc(-c2cccc3ncnn23)cnn1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4cccc5ncnn45)CC3)nc2c1; ['Clc1cccc2ncnn12', 'Fc1cccc2ncnn12']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1', 'c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9987919330596924, 0.9972649812698364]
+OCCn1cnc(-c2cccc3ncnn23)c1; [None]; [None]; [0]
+c1cc(-c2ncc3cc[nH]c3n2)n2ncnc2c1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cccc3ncnn23)CC1; [None]; [None]; [0]
+Nc1nc(-c2cccc3ncnn23)nc2ccccc12; [None]; [None]; [0]
+N#Cc1c(Nc2cccc3ncccc23)sc2c1CCCC2; ['Ic1cccc2ncccc12', 'Fc1cccc2ncccc12', 'Brc1cccc2ncccc12']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9975000619888306, 0.9956626892089844, 0.9860653281211853]
+CN(C)S(=O)(=O)c1cccc(-c2cccc3ncnn23)c1; ['Brc1cccc2ncnn12', 'Brc1cccc2ncnn12', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'Brc1cccc2ncnn12', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; ['CN(C)S(=O)(=O)c1cccc(B(O)O)c1', 'CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'Clc1cccc2ncnn12', 'CN(C)S(=O)(=O)c1cccc(Br)c1', 'c1ccn2ncnc2c1']; [0.9999642968177795, 0.9998972415924072, 0.999549388885498, 0.9991557598114014, 0.9989796876907349, 0.9985841512680054, 0.9898122549057007]
+C1=C(c2c[nH]c3ccccc23)CCN(c2cccc3ncnn23)C1; [None]; [None]; [0]
+N#Cc1c(Nc2cccc(O)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['Oc1cccc(I)c1', 'OB(O)c1cccc(O)c1', 'Oc1cccc(Br)c1', 'Nc1cccc(O)c1', 'Oc1cccc(F)c1']; [0.9972771406173706, 0.9920560121536255, 0.9877208471298218, 0.9686182737350464, 0.9679030179977417]
+CCc1ccc(Nc2sc3c(c2C#N)CCCC3)cc1; ['CCc1ccc(Br)cc1', 'CCc1ccc(I)cc1', 'CCc1ccc(N)cc1']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9924647808074951, 0.9884738326072693, 0.9854713678359985]
+N#Cc1c(Nc2ccc(Cl)c(O)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['OB(O)c1ccc(Cl)c(O)c1', 'Oc1cc(Br)ccc1Cl', 'Oc1cc(I)ccc1Cl']; [0.9994771480560303, 0.995553731918335, 0.9920921325683594]
+N#Cc1c(Nc2c(Cl)cccc2Cl)sc2c1CCCC2; ['Fc1c(Cl)cccc1Cl']; ['N#Cc1c(N)sc2c1CCCC2']; [0.9884615540504456]
+CNS(=O)(=O)c1ccc(Nc2sc3c(c2C#N)CCCC3)cc1; ['CNS(=O)(=O)c1ccc(Br)cc1']; ['N#Cc1c(N)sc2c1CCCC2']; [0.9538924694061279]
+N#Cc1c(Nc2ccc(C(N)=O)cc2F)sc2c1CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2ccc(O)cc2Cl)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['Oc1ccc(Br)c(Cl)c1']; [0.8020292520523071]
+N#Cc1c(Nc2ccc(C(N)=O)cc2)sc2c1CCCC2; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cccc3ncnn23)c1)C1CCNCC1; [None]; [None]; [0]
-N#Cc1c(Nc2ccc(-c3ccc(O)cc3O)cc2)sc2c1CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2ccnc(N)n2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['Nc1nccc(Cl)n1', 'Nc1nccc(Br)n1']; [0.9997578859329224, 0.9997397661209106]
+COc1ccc(F)cc1Nc1sc2c(c1C#N)CCCC2; ['COc1ccc(F)cc1Br', 'COc1ccc(F)cc1N', 'COc1ccc(F)cc1F']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9994751811027527, 0.9760101437568665, 0.8599697351455688]
+N#Cc1c(Nc2ccc(O)cc2F)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['OB(O)c1ccc(O)cc1F', 'Oc1ccc(I)c(F)c1', 'Oc1ccc(Br)c(F)c1']; [0.8998146057128906, 0.8891561031341553, 0.8198920488357544]
+COc1cc(C(N)=O)ccc1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2n[nH]c3ccccc23)sc2c1CCCC2; [None]; [None]; [0]
+COc1cc(F)ccc1Nc1sc2c(c1C#N)CCCC2; ['COc1cc(F)ccc1Br']; ['N#Cc1c(N)sc2c1CCCC2']; [0.9925520420074463]
+N#Cc1c(Nc2ccc(-c3ccc(O)cc3O)cc2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1', 'Oc1ccc(-c2ccc(O)cc2O)cc1']; [0.9985095262527466, 0.9461197853088379]
+N#Cc1c(Nc2c(Cl)ccc3c2OCO3)sc2c1CCCC2; [None]; [None]; [0]
+COc1cc(Nc2sc3c(c2C#N)CCCC3)ccc1O; ['COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O', 'COc1cc(F)ccc1O']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9967328310012817, 0.9941949844360352, 0.9883140325546265, 0.9378514289855957]
+N#Cc1c(Nc2ccc(C(=O)[O-])cc2)sc2c1CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2cn[nH]c2Cl)sc2c1CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2ccc3ccccc3c2)sc2c1CCCC2; ['Ic1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'N#Cc1c(N)sc2c1CCCC2']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'Nc1ccc2ccccc2c1']; [0.9970686435699463, 0.9878798723220825, 0.8292074203491211]
+N#Cc1c(Nc2cccc(Br)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'Brc1cccc(I)c1', 'N#Cc1c(N)sc2c1CCCC2', 'Fc1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['OB(O)c1cccc(Br)c1', 'N#Cc1c(N)sc2c1CCCC2', 'Nc1cccc(Br)c1', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9996720552444458, 0.997340738773346, 0.993972659111023, 0.9935115575790405, 0.9469352960586548]
+Cc1nc2c(F)cc(Nc3sc4c(c3C#N)CCCC4)cc2[nH]1; [None]; [None]; [0]
+N#Cc1c(Nc2ccc(O)c(F)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['Oc1ccc(Br)cc1F', 'OB(O)c1ccc(O)c(F)c1', 'Oc1ccc(I)cc1F', 'Nc1ccc(O)c(F)c1']; [0.9960878491401672, 0.9943137168884277, 0.9926639795303345, 0.9822268486022949]
+COC(=O)c1ccc(Nc2sc3c(c2C#N)CCCC3)o1; [None]; [None]; [0]
+N#Cc1c(Nc2ccc(O)cc2O)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['Oc1ccc(Br)c(O)c1', 'Oc1ccc(F)c(O)c1']; [0.8005528450012207, 0.7662085294723511]
+COC(=O)c1ccc(Cl)c(Nc2sc3c(c2C#N)CCCC3)c1; ['COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(F)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9967688322067261, 0.9955912232398987, 0.9934865236282349]
+N#Cc1c(Nc2ccc(F)c(Cl)c2)sc2c1CCCC2; ['Fc1ccc(Br)cc1Cl']; ['N#Cc1c(N)sc2c1CCCC2']; [0.9897342920303345]
+N#Cc1c(NCOc2cccc(Cl)c2)sc2c1CCCC2; [None]; [None]; [0]
+N#Cc1c(NCCc2ccc(Cl)cc2)sc2c1CCCC2; ['ClCCc1ccc(Cl)cc1', 'Clc1ccc(CCBr)cc1', 'N#Cc1c(N)sc2c1CCCC2']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'O=CCc1ccc(Cl)cc1']; [0.958249568939209, 0.9515342712402344, 0.9419520497322083]
 N#Cc1c(Nc2cnn3ncccc23)sc2c1CCCC2; [None]; [None]; [0]
-N#Cc1c(Nc2cc(O)n3nccc3n2)sc2c1CCCC2; [None]; [None]; [0]
+Cn1cc(Nc2sc3c(c2C#N)CCCC3)c2ccccc21; [None]; [None]; [0]
+N#Cc1c(N[C@H](CO)c2ccccc2)sc2c1CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2cc(O)ccc2Cl)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['Oc1ccc(Cl)c(Br)c1']; [0.9843334555625916]
+N#Cc1c(Nc2c[nH]c3cnccc23)sc2c1CCCC2; [None]; [None]; [0]
+N#Cc1c(NCOc2ccccc2Cl)sc2c1CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2cnc(O)c(Cl)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['Oc1ncc(I)cc1Cl']; [0.9800091981887817]
+N#Cc1c(Nc2[nH]cnc2-c2ccc(F)cc2)sc2c1CCCC2; [None]; [None]; [0]
+COc1ccc(Nc2sc3c(c2C#N)CCCC3)cc1OC; ['COc1ccc(N)cc1OC']; ['N#Cc1c(N)sc2c1CCCC2']; [0.9861086010932922]
+N#Cc1c(Nc2ccnc(N)c2)sc2c1CCCC2; [None]; [None]; [0]
+COc1cc(Nc2sc3c(c2C#N)CCCC3)cc(OC)c1; ['COc1cc(Br)cc(OC)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(N)cc(OC)c1']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9970285892486572, 0.990302562713623, 0.9736576080322266]
+CNC(=O)c1cccc2cc(Nc3sc4c(c3C#N)CCCC4)ccc12; ['CNC(=O)c1cccc2cc(O)ccc12']; ['N#Cc1c(N)sc2c1CCCC2']; [0.9963408708572388]
+Cc1ccc(CO)cc1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
+CCOc1cccc(Nc2sc3c(c2C#N)CCCC3)c1; ['CCOc1cccc(I)c1', 'CCOc1cccc(Br)c1']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9801478385925293, 0.9794207811355591]
+Cc1ccc2[nH]ncc2c1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2nc3ccccc3s2)sc2c1CCCC2; ['Brc1nc2ccccc2s1', 'Clc1nc2ccccc2s1']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9823497533798218, 0.8748730421066284]
+Cc1nc2ccc(Nc3sc4c(c3C#N)CCCC4)cc2[nH]1; ['Cc1nc2ccc(Br)cc2[nH]1']; ['N#Cc1c(N)sc2c1CCCC2']; [0.9987483620643616]
+N#Cc1c(Nc2cnc3[nH]ccc3c2)sc2c1CCCC2; ['Brc1cnc2[nH]ccc2c1', 'Clc1cnc2[nH]ccc2c1']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9470571279525757, 0.9251849055290222]
+N#Cc1c(Nc2cncc(O)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['Oc1cncc(Br)c1', 'Oc1cncc(I)c1', 'Oc1cncc(Cl)c1']; [0.9964143633842468, 0.9962055683135986, 0.9446141123771667]
+N#Cc1c(Nc2c[nH]c(C(N)=O)c2)sc2c1CCCC2; [None]; [None]; [0]
+CNc1nccc(Nc2sc3c(c2C#N)CCCC3)n1; ['CNc1nccc(Cl)n1', 'CNc1nccc(Br)n1']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9995070695877075, 0.9985265135765076]
+CCc1cc(O)ccc1Nc1sc2c(c1C#N)CCCC2; ['CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1Cl']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9971805810928345, 0.9503028392791748]
+CCc1cc(O)c(F)cc1Nc1sc2c(c1C#N)CCCC2; ['CCc1cc(O)c(F)cc1Br']; ['N#Cc1c(N)sc2c1CCCC2']; [0.9993170499801636]
+N#Cc1c(Nc2ccc(NC(N)=O)cc2)sc2c1CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2ccc3c(c2)CC(=O)N3)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(F)ccc2N1']; [0.9995891451835632, 0.9823799133300781, 0.9759517908096313, 0.9560706615447998]
+N#Cc1c(Nc2ccncc2Cl)sc2c1CCCC2; ['Clc1cnccc1Br', 'N#Cc1c(N)sc2c1CCCC2', 'Clc1cnccc1I', 'Fc1ccncc1Cl', 'Clc1ccncc1Cl']; ['N#Cc1c(N)sc2c1CCCC2', 'Nc1ccncc1Cl', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9981764554977417, 0.9980186820030212, 0.9964554309844971, 0.983834981918335, 0.9141268730163574]
+Cc1cc(O)ccc1Nc1sc2c(c1C#N)CCCC2; ['Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1I']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9839926958084106, 0.9836689233779907, 0.8360394239425659]
+CS(=O)(=O)c1ccc(Nc2sc3c(c2C#N)CCCC3)cc1; [None]; [None]; [0]
+N#Cc1c(Nc2cc(Cl)c(O)c(Cl)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Oc1c(Cl)cc(F)cc1Cl', 'Nc1cc(Cl)c(O)c(Cl)c1']; [0.9827846884727478, 0.9147683382034302, 0.880114734172821]
+CNc1nc(Nc2sc3c(c2C#N)CCCC3)ncc1F; ['CNc1nc(Cl)ncc1F']; ['N#Cc1c(N)sc2c1CCCC2']; [0.9945790767669678]
+CCc1sccc1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
 Cc1oc(Nc2sc3c(c2C#N)CCCC3)cc1C(=O)[O-]; [None]; [None]; [0]
-N#Cc1c(Nc2ocnc2-c2ccc(F)cc2)sc2c1CCCC2; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+N#Cc1c(Nc2ccc(Br)cc2F)sc2c1CCCC2; ['Fc1cc(Br)ccc1I', 'Fc1cc(Br)ccc1Br', 'Fc1ccc(Br)cc1F']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9988812208175659, 0.9719225764274597, 0.969957709312439]
+N#Cc1c(Nc2cc(O)n3nccc3n2)sc2c1CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2ccc3c(c2)CCN3)sc2c1CCCC2; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'N#Cc1c(N)sc2c1CCCC2', 'Ic1ccc2c(c1)CCN2', 'Brc1ccc2c(c1)CCN2']; ['N#Cc1c(N)sc2c1CCCC2', 'OB(O)c1ccc2c(c1)CCN2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9999688863754272, 0.9992339611053467, 0.9813821315765381, 0.9425098299980164]
+N#Cc1c(Nc2ccc3[nH]c(=O)[nH]c3c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=c1[nH]c2ccc(I)cc2[nH]1', 'O=c1[nH]c2ccc(Cl)cc2[nH]1']; [0.9982188940048218, 0.991779088973999, 0.8286203145980835]
+Cc1n[nH]c(Nc2sc3c(c2C#N)CCCC3)c1C; [None]; [None]; [0]
+N#Cc1c(Nc2cc(C(F)F)n[nH]2)sc2c1CCCC2; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2sc3c(c2C#N)CCCC3)cc1; ['CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(I)cc1', 'CNC(=O)c1ccc(Br)cc1', 'CNC(=O)c1ccc(F)cc1', 'CNC(=O)c1ccc(Cl)cc1']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.99959397315979, 0.999060332775116, 0.9986529350280762, 0.9954380989074707, 0.9816155433654785]
+N#Cc1c(Nc2ccc(C(=O)NC3CC3)cc2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2']; ['O=C(NC1CC1)c1ccc(Br)cc1']; [0.9994893670082092]
+Cc1nc2ccc(Nc3sc4c(c3C#N)CCCC4)cc2o1; ['Cc1nc2ccc(Br)cc2o1', 'Cc1nc2ccc(N)cc2o1', 'Cc1nc2ccc(F)cc2o1', 'Cc1nc2ccc(O)cc2o1']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9984432458877563, 0.9977620840072632, 0.9962252974510193, 0.9460089206695557]
+N#Cc1c(Nc2[nH]nc3ccc(F)cc23)sc2c1CCCC2; [None]; [None]; [0]
+Cc1cc(Nc2sc3c(c2C#N)CCCC3)cc(C)c1O; ['Cc1cc(F)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9884490966796875, 0.985385537147522, 0.9105837345123291, 0.8390694856643677]
+N#Cc1c(Nc2ccc3c(=O)[nH][nH]c3c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['O=c1[nH][nH]c2cc(Br)ccc12', 'Nc1ccc2c(=O)[nH][nH]c2c1', 'O=c1[nH][nH]c2cc(F)ccc12']; [0.9998127818107605, 0.9994727373123169, 0.9975295066833496]
+N#Cc1c(Nc2cc(F)c(O)c(F)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['Oc1c(F)cc(I)cc1F', 'Oc1c(F)cc(Br)cc1F']; [0.9277611970901489, 0.8930002450942993]
+N#Cc1c(Nc2cc(O)cc(Br)c2)sc2c1CCCC2; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; ['OB(O)c1cc(O)cc(Br)c1', 'Oc1cc(F)cc(Br)c1', 'Oc1cc(Br)cc(I)c1', 'Nc1cc(O)cc(Br)c1', 'Oc1cc(Br)cc(Br)c1', 'Oc1cc(Cl)cc(Br)c1']; [0.9988684058189392, 0.9977408051490784, 0.9971093535423279, 0.9798686504364014, 0.8105663061141968, 0.7829726934432983]
+CSc1cccc(Nc2sc3c(c2C#N)CCCC3)c1; ['CSc1cccc(Br)c1', 'CSc1cccc(N)c1', 'CSc1cccc(F)c1', 'CSc1cccc(Cl)c1']; ['N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2', 'N#Cc1c(N)sc2c1CCCC2']; [0.9974266290664673, 0.9946165084838867, 0.9855124950408936, 0.9763670563697815]
+Cc1cc(Nc2sc3c(c2C#N)CCCC3)ccc1C(N)=O; [None]; [None]; [0]
 CCOc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1Nc1sc2c(c1C#N)CCCC2; [None]; [None]; [0]
+N#Cc1c(Nc2cn[nH]c2-c2ccc(Cl)cc2)sc2c1CCCC2; [None]; [None]; [0]
 O=c1[nH]cc(-c2ncc3ccccc3n2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+N#Cc1c(Nc2ocnc2-c2ccc(F)cc2)sc2c1CCCC2; [None]; [None]; [0]
+COc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc(OC)c1OC; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 COc1ncccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3c[nH]c(=O)c4ccc(Cl)cc34)c2c1; [None]; [None]; [0]
 O=c1[nH]cc(-c2cnc3cccnn23)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2cccc(O)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-O=c1[nH]cc(-c2ccc(N3CCOCC3)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=C(Nc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1)C1CC1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3c[nH]c(=O)c4ccc(Cl)cc34)c2c1; [None]; [None]; [0]
+O=c1[nH]cc(-c2cccc(O)c2)c2cc(Cl)ccc12; ['O=c1[nH]ccc2cc(Cl)ccc12']; ['OB(O)c1cccc(O)c1']; [0.9419968724250793]
+CS(=O)(=O)c1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; ['COc1ccccc1']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.7768193483352661]
+O=c1[nH]cc(-c2ccc(N3CCOCC3)cc2)c2cc(Cl)ccc12; ['Ic1ccc(N2CCOCC2)cc1']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.9714460968971252]
 O=c1[nH]cc(-c2nc3ccccc3[nH]2)c2cc(Cl)ccc12; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; ['NC(=O)c1ccc(B(O)O)cc1']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.9900211691856384]
 Cc1cc(Nc2c[nH]c(=O)c3ccc(Cl)cc23)sn1; [None]; [None]; [0]
-O=c1[nH]cc(-n2ncc3ccccc3c2=O)c2cc(Cl)ccc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
+O=c1[nH]cc(-c2nccc3ccccc23)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1)C1CC1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2)CC1; [None]; [None]; [0]
 O=C([O-])c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-NC(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 O=c1[nH]cc(Nc2ncccn2)c2cc(Cl)ccc12; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cn2)c1; [None]; [None]; [0]
+O=c1[nH]cc(-c2cccc(C3CCNCC3)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=C(c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1)N1CCOCC1; ['O=C(c1ccc(Br)cc1)N1CCOCC1']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.8765339851379395]
 O=C(Nc1ccccc1)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-O=c1[nH]cc(Cc2nccc3ccccc23)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2ccc(OCCO)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cn2)c1; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-O=c1[nH]cc(-c2cccc(C3CCNCC3)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=C(c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1)N1CCOCC1; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccc(OCCO)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 O=c1[nH]cc(Nc2ccncn2)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=C(c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 O=c1[nH]cc(-c2ccc3c(c2)CS(=O)(=O)C3)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2ccc(C(F)(F)F)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-O=c1[nH]cc(Cc2ccccc2O)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccc(C(F)(F)F)cc2)c2cc(Cl)ccc12; ['FC(F)(F)c1ccc(I)cc1']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.9272952079772949]
 Cc1nc(C)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2c[nH]c(=O)c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
-O=C(c1ccccc1)N1CC[C@H](c2c[nH]c(=O)c3ccc(Cl)cc23)C1; [None]; [None]; [0]
-CC(C)c1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CC(C)c1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)c2)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2c[nH]c(=O)c3ccc(Cl)cc23)C1; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccc(Br)cc2)c2cc(Cl)ccc12; ['Brc1ccc(I)cc1']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.8293485045433044]
 CCCOc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2ccc(Br)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; ['CCN(CC)C(=O)c1ccc(Br)cc1']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.827140212059021]
+CNS(=O)(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c(C)c1; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccn3nccc3n2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccccc2-n2cccn2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccc3c(c2)CCO3)c2cc(Cl)ccc12; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2c[nH]c3ccccc23)c2cc(Cl)ccc12; [None]; [None]; [0]
+CN(C)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1Cl; [None]; [None]; [0]
 COc1cc(OC)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1Cl; [None]; [None]; [0]
+COc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)ccc1O; ['COc1cc(B(O)O)ccc1O', 'COc1cc(I)ccc1O', 'COc1cc(Br)ccc1O']; ['O=c1[nH]ccc2cc(Cl)ccc12', 'O=c1[nH]ccc2cc(Cl)ccc12', 'O=c1[nH]ccc2cc(Cl)ccc12']; [0.9882766008377075, 0.7971875667572021, 0.7793213129043579]
 CC(C)c1ccc2nc(-c3c[nH]c(=O)c4ccc(Cl)cc34)[nH]c2c1; [None]; [None]; [0]
-O=c1[nH]cc(-c2ccc3c(c2)CCO3)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2cc3ccccc3cn2)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2cc(-c3ccccc3)[nH]n2)c2cc(Cl)ccc12; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+O=c1[nH]cc(-c2scc3c2OCCO3)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2cc(-c3ccccc3)[nH]n2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)ccc1O; [None]; [None]; [0]
 O=c1[nH]cc(-c2cccc3c2OCO3)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2scc3c2OCCO3)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2cnc3ccccc3c2)c2cc(Cl)ccc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
-O=c1[nH]cc(Cc2nc3c(F)c(F)ccc3[nH]2)c2cc(Cl)ccc12; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-CC1(COc2c[nH]c(=O)c3ccc(Cl)cc23)COC1; [None]; [None]; [0]
+Nc1nc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cs1; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccn(-c3cccc(Cl)c3)n2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2)CC1; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-O=c1[nH]cc([C@H](CO)Cc2ccccc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2cc3ccccc3s2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CC1(COc2c[nH]c(=O)c3ccc(Cl)cc23)COC1; [None]; [None]; [0]
 O=c1[nH]cc(-c2ccc(F)cc2Cl)c2cc(Cl)ccc12; [None]; [None]; [0]
+Cc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1OC; [None]; [None]; [0]
 O=c1[nH]cc(-c2ncc(Br)cn2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CSc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+O=C1CCc2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)ccc2N1; [None]; [None]; [0]
 CCc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1OC; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2)CC1; [None]; [None]; [0]
 COc1ccc(CNc2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 O=c1[nH]cc(-c2ccc(Cl)cc2Cl)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(CCCn2cncn2)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=C(C1CC1)N1CC(Nc2c[nH]c(=O)c3ccc(Cl)cc23)C1; [None]; [None]; [0]
 O=c1[nH]cc(-c2ncc3cccn3n2)c2cc(Cl)ccc12; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 COc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)ccc1N1CCOCC1; [None]; [None]; [0]
 O=c1[nH]cc(-c2cc3ccccn3n2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=C(C1CC1)N1CC(Nc2c[nH]c(=O)c3ccc(Cl)cc23)C1; [None]; [None]; [0]
+COc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)ccc1Cl; [None]; [None]; [0]
+COc1cc(F)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1OC; [None]; [None]; [0]
+COc1ccc2cccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)c2c1; [None]; [None]; [0]
+Cc1csc2c(-c3c[nH]c(=O)c4ccc(Cl)cc34)ncnc12; [None]; [None]; [0]
 CC1(C)Cc2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)ccc2O1; [None]; [None]; [0]
 Cn1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c(C(F)(F)F)n1; [None]; [None]; [0]
-COc1ccc2cccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)c2c1; [None]; [None]; [0]
 O=c1[nH]cc(-c2cccc3ccc(O)cc23)c2cc(Cl)ccc12; [None]; [None]; [0]
-COc1cc(F)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1OC; [None]; [None]; [0]
-COc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)ccc1Cl; [None]; [None]; [0]
 O=c1[nH]cc(-c2ncc(Cl)cn2)c2cc(Cl)ccc12; [None]; [None]; [0]
-Cc1csc2c(-c3c[nH]c(=O)c4ccc(Cl)cc34)ncnc12; [None]; [None]; [0]
 Cc1nc(Nc2c[nH]c(=O)c3ccc(Cl)cc23)sc1C; [None]; [None]; [0]
+O=c1[nH]cc(-c2cnn(CCO)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
 Cc1cc(Nc2c[nH]c(=O)c3ccc(Cl)cc23)nn1C; [None]; [None]; [0]
 Nc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
 COc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c(OC)cc1Br; [None]; [None]; [0]
+O=C(Nc1c[nH]c(=O)c2ccc(Cl)cc12)c1ccco1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc1; [None]; [None]; [0]
 NC(=O)c1ccc(Cc2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 O=c1[nH]cc(Cc2ccc(S(=O)(=O)CCO)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-O=C(Nc1c[nH]c(=O)c2ccc(Cl)cc12)c1ccco1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
 COc1cc(OC)cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1c[nH]c(=O)c3ccc(Cl)cc13)cn2C; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
 COc1ccc2oc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2c1; [None]; [None]; [0]
 O=c1[nH]cc(-c2ccc3cn[nH]c3c2)c2cc(Cl)ccc12; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1c[nH]c(=O)c3ccc(Cl)cc13)cn2C; [None]; [None]; [0]
 CC(C)(C)c1ccc(C(=O)Nc2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-CCn1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-O=c1[nH]cc(-c2cc(-c3cccnc3)ccn2)c2cc(Cl)ccc12; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 O=c1[nH]cc(-c2cc3ccccc3o2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CCn1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 O=c1[nH]cc(-c2ncc3sccc3n2)c2cc(Cl)ccc12; [None]; [None]; [0]
-CC(C)c1nn(C)cc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1)N1CCCC1; [None]; [None]; [0]
+O=c1[nH]cc(-c2cc(-c3cccnc3)ccn2)c2cc(Cl)ccc12; [None]; [None]; [0]
 COc1ccc2nc(-c3c[nH]c(=O)c4ccc(Cl)cc34)[nH]c2c1; [None]; [None]; [0]
-O=c1[nH]cc(-c2ccc(OC(F)(F)F)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccc(OC(F)(F)F)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CCc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1)N1CCCC1; [None]; [None]; [0]
+Cn1ncc2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)ccc21; [None]; [None]; [0]
 Cn1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c2ccccc21; [None]; [None]; [0]
+Cc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc(C)c1OCCO; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)[nH]c2c1; [None]; [None]; [0]
-CCc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n1; [None]; [None]; [0]
 O=c1[nH]cc(-c2ncn3c2CCCC3)c2cc(Cl)ccc12; [None]; [None]; [0]
-Cc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1ncc2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)ccc21; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)ccc21; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cn2)CC1; [None]; [None]; [0]
 CN(C)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)ccc21; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)ccc12; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cn2)CC1; [None]; [None]; [0]
 O=C1CCCN1c1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
 O=c1[nH]cc(-c2ccc(CCO)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=C(Nc1c[nH]c(=O)c2ccc(Cl)cc12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2)n1C; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1C(C)(C)O; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc1; [None]; [None]; [0]
 O=c1[nH]cc(Nc2ccc(F)cn2)c2cc(Cl)ccc12; [None]; [None]; [0]
-Cc1cc(Nc2c[nH]c(=O)c3ccc(Cl)cc23)ncc1F; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 O=c1[nH]cc(Nc2ccccn2)c2cc(Cl)ccc12; [None]; [None]; [0]
+Cc1cc(Nc2c[nH]c(=O)c3ccc(Cl)cc23)ncc1F; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2c[nH]c(=O)c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-CNC(=O)c1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
 CCOc1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-COC(C)(C)CCc1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-Cc1nnc(-c2ccccc2-c2c[nH]c(=O)c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-O=c1[nH]cc(Cc2cc(F)cc(F)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
-CP(C)(=O)c1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+COC(C)(C)CCc1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2ccnc3ccccc23)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccccc2OC(F)(F)F)c2cc(Cl)ccc12; ['FC(F)(F)Oc1ccccc1I', 'FC(F)(F)Oc1ccccc1Br']; ['O=c1[nH]ccc2cc(Cl)ccc12', 'O=c1[nH]ccc2cc(Cl)ccc12']; [0.9981405138969421, 0.9858770370483398]
 O=c1[nH]cc(-c2cccc(C(F)(F)F)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2ccccc2Br)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2ccccc2OC(F)(F)F)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-NC(=O)c1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2cnn(Cc3ccccc3)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2cnc(-c3ccccc3)[nH]2)c2cc(Cl)ccc12; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2cnn(CCO)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(Cc2cc(F)cc(F)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2c1=O; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cs1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=C(Nc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1)c1ccccc1; [None]; [None]; [0]
-O=c1[nH]cc(-n2ncc3cccc(F)c3c2=O)c2cc(Cl)ccc12; [None]; [None]; [0]
 CC(C)C(=O)COc1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-COc1cnc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc1; [None]; [None]; [0]
+O=c1[nH]cc(-c2cc(Cl)ccc2Cl)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2cnc(-c3ccccc3)[nH]2)c2cc(Cl)ccc12; [None]; [None]; [0]
 Cc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2cnc3ccccn23)c2cc(Cl)ccc12; [None]; [None]; [0]
+COc1cnc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc1; [None]; [None]; [0]
+O=c1[nH]cc(-c2c(Cl)cccc2Cl)c2cc(Cl)ccc12; ['NNc1c(Cl)cccc1Cl']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.9109972715377808]
 CNc1nc(C)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)s1; [None]; [None]; [0]
+O=c1[nH]cc(-c2cccc(Br)c2)c2cc(Cl)ccc12; ['O=c1[nH]ccc2cc(Cl)ccc12', 'NNc1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['OB(O)c1cccc(Br)c1', 'O=c1[nH]ccc2cc(Cl)ccc12', 'O=c1[nH]ccc2cc(Cl)ccc12']; [0.9784964919090271, 0.8952242136001587, 0.7972880601882935]
 Cc1nc(N)sc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2c(Cl)cccc2Cl)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2cccc(Cn3cncn3)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-n2ncc3cccc(F)c3c2=O)c2cc(Cl)ccc12; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
 O=c1[nH]cc(NCc2cccnc2)c2cc(Cl)ccc12; [None]; [None]; [0]
-Cc1c(-c2c[nH]c(=O)c3ccc(Cl)cc23)sc(=O)n1C; [None]; [None]; [0]
-Nc1nccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n1; [None]; [None]; [0]
-O=c1[nH]cc(-c2cnn3ncccc23)c2cc(Cl)ccc12; [None]; [None]; [0]
-COc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-O=c1[nH]cc(-c2ccc3ccccc3c2)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(Nc2cccnc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2cccc(Cn3cncn3)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=c1[nH]cc(NCCc2c[nH]cn2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(Nc2cccnc2)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=c1[nH]cc(-n2cnc3ccccc32)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccc3ccccc3c2)c2cc(Cl)ccc12; ['O=c1[nH]ccc2cc(Cl)ccc12', 'NNc1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'O=c1[nH]ccc2cc(Cl)ccc12']; [0.9974994659423828, 0.9309192895889282]
+Nc1nccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n1; [None]; [None]; [0]
+O=c1[nH]cc(-c2cnn3ncccc23)c2cc(Cl)ccc12; [None]; [None]; [0]
+Cc1c(-c2c[nH]c(=O)c3ccc(Cl)cc23)sc(=O)n1C; [None]; [None]; [0]
 O=C(Nc1c[nH]c(=O)c2ccc(Cl)cc12)c1cccs1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2c[nH]c(=O)c3ccc(Cl)cc23)o1; [None]; [None]; [0]
-O=C([O-])Cc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+O=c1[nH]cc(NCCc2ccccc2)c2cc(Cl)ccc12; ['NCCc1ccccc1']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.8541062474250793]
 O=c1[nH]cc(-c2cncc3ccccc23)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(NCCc2ccccc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2c[nH]nc2C(F)(F)F)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2)cn1; [None]; [None]; [0]
-CN1c2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2CS1(=O)=O; [None]; [None]; [0]
 Nc1[nH]nc2cc(-c3c[nH]c(=O)c4ccc(Cl)cc34)ccc12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+O=c1[nH]cc(NCc2ccc(Cl)cc2)c2cc(Cl)ccc12; ['NCc1ccc(Cl)cc1']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.7926198840141296]
+O=c1[nH]cc(-c2ccc(-c3cn[nH]c3)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(NCc2ccccc2F)c2cc(Cl)ccc12; ['NCc1ccccc1F']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.9554821252822876]
+CN1c2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2CS1(=O)=O; [None]; [None]; [0]
+O=c1[nH]cc(Nc2ccncc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2cccc(CO)c2)c2cc(Cl)ccc12; ['O=c1[nH]ccc2cc(Cl)ccc12']; ['OCc1cccc(B(O)O)c1']; [0.8436969518661499]
 CCCn1cnc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n1; [None]; [None]; [0]
 COc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)ccc1C(=O)[O-]; [None]; [None]; [0]
-O=c1[nH]cc(-c2cccc(CO)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(Nc2ccncc2)c2cc(Cl)ccc12; [None]; [None]; [0]
 CC(C)n1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nn1; [None]; [None]; [0]
+O=c1[nH]cc(-c2cc3ccccc3[nH]2)c2cc(Cl)ccc12; [None]; [None]; [0]
 CSc1nc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=c1[nH]cc(CCc2c[nH]nn2)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2csc3ncncc23)c2cc(Cl)ccc12; [None]; [None]; [0]
 N#CCCc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-CCNc1nc2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2s1; [None]; [None]; [0]
+CC(C)c1oncc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2ccc(F)cc2C(F)(F)F)c2cc(Cl)ccc12; [None]; [None]; [0]
+Nc1ncncc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+O=c1[nH]cc(Oc2ccccn2)c2cc(Cl)ccc12; [None]; [None]; [0]
+NC(=O)CCCc1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+CCNc1nc2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc2s1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; ['CS(=O)(=O)C1CCNCC1']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.8159893751144409]
 O=C(Nc1c[nH]c(=O)c2ccc(Cl)cc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-CS(=O)(=O)C1CCN(c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
-CC(C)(COc1c[nH]c(=O)c2ccc(Cl)cc12)S(C)(=O)=O; [None]; [None]; [0]
-COc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1Cl; [None]; [None]; [0]
 O=c1[nH]cc(-c2cnn3ccccc23)c2cc(Cl)ccc12; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1C(F)(F)F; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1Cl; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 CCCn1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
-O=c1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc[nH]1; [None]; [None]; [0]
+CC(C)(COc1c[nH]c(=O)c2ccc(Cl)cc12)S(C)(=O)=O; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1C(F)(F)F; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 O=C1CCc2cccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)c21; [None]; [None]; [0]
 COc1cc(CCc2c[nH]c(=O)c3ccc(Cl)cc23)cc(OC)c1; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+O=c1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc[nH]1; [None]; [None]; [0]
 C[C@@H](Oc1c[nH]c(=O)c2ccc(Cl)cc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-C[S@](=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
-CCN(CC)c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+CCN(CC)c1c[nH]c(=O)c2ccc(Cl)cc12; ['CCNCC']; ['O=c1[nH]ccc2cc(Cl)ccc12']; [0.9346972703933716]
+CCNS(=O)(=O)c1ccccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=c1[nH]ccc2oc(-c3c[nH]c(=O)c4ccc(Cl)cc34)cc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2cc3c(=O)[nH]cc(Br)c3s2)c2cc(Cl)ccc12; [None]; [None]; [0]
-COc1ccncc1Nc1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+COc1cccc(F)c1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Nc2cnccc2-c2ccccc2)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=c1[nH]cc(Nc2cnc3ccccc3c2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+O=c1[nH]cc(-c2cnc3[nH]ccc3c2)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2c[nH]c3cnccc23)c2cc(Cl)ccc12; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2cnc3[nH]ccc3c2)c2cc(Cl)ccc12; [None]; [None]; [0]
-CC1(c2c[nH]c(=O)c3ccc(Cl)cc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CN(c1c[nH]c(=O)c2ccc(Cl)cc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 CC(C)(C)NS(=O)(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CC1(c2c[nH]c(=O)c3ccc(Cl)cc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 Cc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
-C[C@H](Nc1c[nH]c(=O)c2ccc(Cl)cc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 O=c1[nH]cc(-n2ccc(CO)n2)c2cc(Cl)ccc12; [None]; [None]; [0]
+CN(c1c[nH]c(=O)c2ccc(Cl)cc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 C[C@H](Nc1c[nH]c(=O)c2ccc(Cl)cc12)C(C)(C)O; [None]; [None]; [0]
+C[C@H](Nc1c[nH]c(=O)c2ccc(Cl)cc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 O=c1[nH]cc(-n2cnc(CCO)c2)c2cc(Cl)ccc12; [None]; [None]; [0]
 C[C@@H](Nc1c[nH]c(=O)c2ccc(Cl)cc12)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-O=c1[nH]cc(-n2ncc3ccccc32)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-n2ncc3c(O)cccc32)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2cccnc2O)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2ccc(-n3cncn3)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2c(F)cccc2Cl)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2nc3ccc(O)cc3[nH]2)c2cc(Cl)ccc12; [None]; [None]; [0]
-CSc1nc(C)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
 COc1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c(OC)c1; [None]; [None]; [0]
+O=c1[nH]cc(-c2ccc(-n3cncn3)cc2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-n2ncc3c(O)cccc32)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-n2ncc3ccccc32)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=C(c1ccccc1)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CSc1nc(C)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2nncn2C2CC2)c2cc(Cl)ccc12; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n1; [None]; [None]; [0]
-O=c1[nH]cc(Cc2nnc3ccc(-c4ccccc4)nn23)c2cc(Cl)ccc12; [None]; [None]; [0]
-O=C(CCc1c[nH]c(=O)c2ccc(Cl)cc12)NCc1ccccn1; [None]; [None]; [0]
 O=c1[nH]cc(-c2cn(Cc3ccccc3)nn2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(Cc2nnc3ccc(-c4ccccc4)nn23)c2cc(Cl)ccc12; [None]; [None]; [0]
+Nc1nnc(-c2c[nH]c(=O)c3ccc(Cl)cc23)s1; [None]; [None]; [0]
 O=c1[nH]cc(CS(=O)(=O)NCc2ccccn2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=C(CCc1c[nH]c(=O)c2ccc(Cl)cc12)NCc1ccccn1; [None]; [None]; [0]
 CCc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
-CCCCc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2c[nH]c(=O)c3ccc(Cl)cc23)s1; [None]; [None]; [0]
-Nc1nnc(-c2c[nH]c(=O)c3ccc(Cl)cc23)s1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)s1; [None]; [None]; [0]
+CCCCc1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2c[nH]c(=O)c3ccc(Cl)cc23)c(F)c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
-O=c1[nH]cc(-c2nc3ccccc3s2)c2cc(Cl)ccc12; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)c2)cc1; [None]; [None]; [0]
-O=c1[nH]cc(-c2cccc3ccsc23)c2cc(Cl)ccc12; [None]; [None]; [0]
-CC(=O)Nc1ncc(-c2c[nH]c(=O)c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2nc3ccccc3s2)c2cc(Cl)ccc12; [None]; [None]; [0]
+Nc1cncc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
 O=c1[nH]cc(-c2cccc3nnsc23)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2cccc3ccsc23)c2cc(Cl)ccc12; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3c[nH]c(=O)c4ccc(Cl)cc34)c2)cc1; [None]; [None]; [0]
 Nc1nc(-c2c[nH]c(=O)c3ccc(Cl)cc23)nc2ccccc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2c[nH]c3cccnc23)c2cc(Cl)ccc12; [None]; [None]; [0]
-COc1ccc(C#N)cc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 O=c1[nH]cc(-c2ncc3cc[nH]c3n2)c2cc(Cl)ccc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
 COc1ccc(Oc2c[nH]c(=O)c3ccc(Cl)cc23)c(F)c1F; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c[nH]c(=O)c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1c[nH]c(=O)c2ccc(Cl)cc12; [None]; [None]; [0]
+O=c1[nH]cc(-c2cn(CCO)cn2)c2cc(Cl)ccc12; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2c[nH]c(=O)c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
 COc1ccc(OC)c(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)n1; [None]; [None]; [0]
+c1cc(-c2cnc3ccccn23)c2cccnc2c1; ['CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'Brc1cnc2ccccn12', 'Ic1cnc2ccccn12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'OB(O)c1cccc2ncccc12', 'Brc1cccc2ncccc12', 'Brc1cnc2ccccn12', 'Ic1cccc2ncccc12', 'Clc1cnc2ccccn12', 'Clc1cccc2ncccc12', 'Brc1cccc2ncccc12', 'Clc1cccc2ncccc12']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2cccc3ncccc23)OC1(C)C', 'OB(O)c1cccc2ncccc12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'OB(O)c1cccc2ncccc12', 'c1ccn2ccnc2c1', 'OB(O)c1cccc2ncccc12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'O=C(O)c1cnc2ccccn12']; [0.999988317489624, 0.999984860420227, 0.9999578595161438, 0.9999176263809204, 0.9998950958251953, 0.9997730851173401, 0.9997454881668091, 0.9996991157531738, 0.9995105266571045, 0.997542142868042, 0.9932823777198792, 0.9625934362411499]
+Oc1cccc(-c2cnc3ccccn23)c1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'Clc1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Oc1cccc(Br)c1', 'Oc1cccc(I)c1', 'Oc1cccc(Cl)c1', 'O=C(O)c1cnc2ccccn12', 'O=C(O)c1cnc2ccccn12', 'Oc1ccccc1']; ['Ic1cnc2ccccn12', 'OB(O)c1cccc(O)c1', 'CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'OB(O)c1cccc(O)c1', 'OB(O)c1cccc(O)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'Oc1cccc(Br)c1', 'Oc1cccc(Cl)c1', 'c1ccn2ccnc2c1']; [0.9999957084655762, 0.99998939037323, 0.9999812841415405, 0.9999237656593323, 0.9999050498008728, 0.9998876452445984, 0.9998810291290283, 0.9998021721839905, 0.999575674533844, 0.9981414675712585, 0.9963558912277222, 0.9706929922103882, 0.814589262008667]
+Clc1ccc2c(c1-c1cnc3ccccn13)OCO2; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'OB(O)c1c(Cl)ccc2c1OCO2', 'Clc1cnc2ccccn12', 'Clc1ccc2c(c1)OCO2']; ['OB(O)c1c(Cl)ccc2c1OCO2', 'OB(O)c1c(Cl)ccc2c1OCO2', 'c1ccn2ccnc2c1', 'OB(O)c1c(Cl)ccc2c1OCO2', 'c1ccn2ccnc2c1']; [0.9998686909675598, 0.9998394846916199, 0.999760627746582, 0.9954937696456909, 0.991608738899231]
 CN(C)c1cc(-c2c[nH]c(=O)c3ccc(Cl)cc23)cnn1; [None]; [None]; [0]
-O=c1[nH]cc(N2CC=C(c3c[nH]c4ccccc34)CC2)c2cc(Cl)ccc12; [None]; [None]; [0]
 O=c1[nH]cc(N2CCC(c3nc4ccccc4[nH]3)CC2)c2cc(Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]cc(N2CC=C(c3c[nH]c4ccccc34)CC2)c2cc(Cl)ccc12; [None]; [None]; [0]
+Oc1cc(-c2cnc3ccccn23)ccc1Cl; ['CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Brc1cnc2ccccn12', 'Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'OB(O)c1ccc(Cl)c(O)c1', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'Oc1cc(Br)ccc1Cl', 'Clc1cnc2ccccn12', 'Oc1cc(I)ccc1Cl', 'Oc1ccccc1Cl']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc(Cl)c(O)c2)OC1(C)C', 'OB(O)c1ccc(Cl)c(O)c1', 'OB(O)c1ccc(Cl)c(O)c1', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'OB(O)c1ccc(Cl)c(O)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999988317489624, 0.9999841451644897, 0.9999828338623047, 0.9999388456344604, 0.9999303817749023, 0.9999110698699951, 0.9997609853744507, 0.999687671661377, 0.9960062503814697, 0.8797736167907715]
+Clc1cccc(Cl)c1-c1cnc2ccccn12; ['Clc1cccc(Cl)c1I', 'Clc1cccc(Cl)c1Br', 'Ic1cnc2ccccn12', 'OB(O)c1c(Cl)cccc1Cl', 'Brc1cnc2ccccn12', 'Clc1cccc(Cl)c1Br', 'Clc1cccc(Cl)c1Cl', 'Clc1cccc(Cl)c1', 'Clc1cnc2ccccn12', 'Clc1cccc(Cl)c1Cl']; ['c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'c1ccn2ccnc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'OB(O)c1c(Cl)cccc1Cl', 'O=C(O)c1cnc2ccccn12']; [0.9999879002571106, 0.9999871253967285, 0.9998952150344849, 0.999884843826294, 0.9997233152389526, 0.9995468854904175, 0.9994775056838989, 0.9978070259094238, 0.9957575798034668, 0.9795254468917847]
+Fc1ccc(Oc2cnc3ccccn23)cc1; ['Brc1cnc2ccccn12', 'Clc1cnc2ccccn12']; ['Oc1ccc(F)cc1', 'Oc1ccc(F)cc1']; [0.9999383687973022, 0.999616265296936]
+CNS(=O)(=O)c1ccc(-c2cnc3ccccn23)cc1; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2ccccn12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2ccccn12']; ['Ic1cnc2ccccn12', 'CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Clc1cnc2ccccn12', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; [1.0, 0.999998927116394, 0.9999969005584717, 0.9999954700469971, 0.9998986124992371, 0.9998217225074768]
+NC(=O)c1ccc(-c2cnc3ccccn23)c(F)c1; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12']; ['NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1', 'NC(=O)c1ccc(B(O)O)c(F)c1']; [0.9999853372573853, 0.999824047088623, 0.9996492862701416]
+NC(=O)c1ccc(-c2cnc3ccccn23)cc1; ['CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'CC1(C)OB(c2ccc(C(N)=O)cc2)OC1(C)C', 'Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12']; ['Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1', 'NC(=O)c1ccc(B(O)O)cc1']; [1.0, 0.9999984502792358, 0.9999979734420776, 0.9999709129333496, 0.9999662637710571]
 O=C(Nc1cccc(-c2c[nH]c(=O)c3ccc(Cl)cc23)c1)C1CCNCC1; [None]; [None]; [0]
-Oc1ccc(-c2ccc(-c3cnc4ccccn34)cc2)c(O)c1; [None]; [None]; [0]
-c1cnn2ncc(-c3cnc4ccccn34)c2c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cnc2ccccn12; ['COc1cc(C(N)=O)ccc1B1OC(C)(C)C(C)(C)O1']; ['Clc1cnc2ccccn12']; [0.9998958110809326]
+COc1ccc(F)cc1-c1cnc2ccccn12; ['COc1ccc(F)cc1B(O)O', 'Brc1cnc2ccccn12', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1Br', 'COc1ccc(F)cc1Cl', 'COc1ccc(F)cc1']; ['Ic1cnc2ccccn12', 'COc1ccc(F)cc1B(O)O', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.9999828338623047, 0.9999812245368958, 0.9999067783355713, 0.9997828602790833, 0.9996535778045654, 0.9993435740470886, 0.9972553253173828, 0.9929599761962891, 0.8162388801574707]
+Nc1nccc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3ccccn23)c(Cl)c1; ['Brc1cnc2ccccn12', 'Oc1ccc(Br)c(Cl)c1', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'OB(O)c1ccc(O)cc1Cl', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'Ic1cnc2ccccn12', 'Oc1ccc(I)c(Cl)c1', 'Clc1cnc2ccccn12', 'Oc1ccc(Cl)c(Cl)c1', 'Oc1cccc(Cl)c1']; ['CC1(C)OB(c2ccc(O)cc2Cl)OC1(C)C', 'c1ccn2ccnc2c1', 'Ic1cnc2ccccn12', 'c1ccn2ccnc2c1', 'OB(O)c1ccc(O)cc1Cl', 'Clc1cnc2ccccn12', 'OB(O)c1ccc(O)cc1Cl', 'c1ccn2ccnc2c1', 'OB(O)c1ccc(O)cc1Cl', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999853372573853, 0.999972403049469, 0.9999491572380066, 0.999919593334198, 0.9998961687088013, 0.9998701810836792, 0.9998621940612793, 0.9993607401847839, 0.997904360294342, 0.9796466827392578, 0.8963401317596436]
+COc1cc(F)ccc1-c1cnc2ccccn12; ['Brc1cnc2ccccn12', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1I', 'COc1cc(F)ccc1Br', 'Brc1cnc2ccccn12', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'COc1cc(F)ccc1B(O)O', 'COc1cc(F)ccc1Br', 'COc1cc(F)ccc1[Mg]Br', 'COc1cc(F)ccc1Cl', 'COc1cc(F)ccc1C(=O)O', 'COc1cc(F)ccc1Cl', 'COc1cccc(F)c1']; ['COc1cc(F)ccc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'COc1cc(F)ccc1B(O)O', 'c1ccn2ccnc2c1', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.9999978542327881, 0.999992311000824, 0.9999917149543762, 0.9999915361404419, 0.9999895095825195, 0.9999853372573853, 0.9999839067459106, 0.9999728798866272, 0.999964714050293, 0.9999350309371948, 0.9999284744262695, 0.999832272529602, 0.9996236562728882, 0.9974349737167358, 0.8018869161605835]
+COc1cc(-c2cnc3ccccn23)ccc1O; ['COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Brc1cnc2ccccn12', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'COc1cc(B(O)O)ccc1O', 'COc1cc(B(O)O)ccc1O', 'Brc1cnc2ccccn12', 'COc1cc(Br)ccc1O', 'COc1cc(I)ccc1O', 'COc1ccccc1O', 'COc1cc(Cl)ccc1O']; ['Ic1cnc2ccccn12', 'COc1cc(B2OC(C)(C)C(C)(C)O2)ccc1O', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'COc1cc(B(O)O)ccc1O', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999985694885254, 0.9999974370002747, 0.9999961256980896, 0.9999863505363464, 0.9999665021896362, 0.9999516606330872, 0.9999479055404663, 0.9997683167457581, 0.9994603395462036, 0.9885456562042236, 0.9718472361564636]
+c1ccc2c(-c3cnc4ccccn34)n[nH]c2c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnc4ccccn34)cc2[nH]1; [None]; [None]; [0]
+Oc1ccc(-c2cnc3ccccn23)c(F)c1; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Brc1cnc2ccccn12', 'OB(O)c1ccc(O)cc1F', 'Oc1ccc(Br)c(F)c1', 'Clc1cnc2ccccn12', 'Oc1ccc(I)c(F)c1', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Oc1ccc(Cl)c(F)c1', 'Oc1cccc(F)c1', 'Clc1cnc2ccccn12']; ['OB(O)c1ccc(O)cc1F', 'CC1(C)OB(c2ccc(O)cc2F)OC1(C)C', 'Ic1cnc2ccccn12', 'OB(O)c1ccc(O)cc1F', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'OB(O)c1ccc(O)cc1F', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'Oc1cccc(F)c1']; [0.999967098236084, 0.9998380541801453, 0.9998206496238708, 0.9997513294219971, 0.9996960759162903, 0.9993931651115417, 0.9992194175720215, 0.9981999397277832, 0.9977569580078125, 0.9886287450790405, 0.9338982105255127, 0.8252965807914734]
+O=C([O-])c1ccc(-c2cnc3ccccn23)cc1; ['O=C([O-])c1ccc(Cl)cc1']; ['c1ccn2ccnc2c1']; [0.9598092436790466]
+Oc1ccc(-c2ccc(-c3cnc4ccccn34)cc2)c(O)c1; ['Oc1ccc(-c2ccc(Br)cc2)c(O)c1']; ['c1ccn2ccnc2c1']; [0.9966933131217957]
+COC(=O)c1ccc(-c2cnc3ccccn23)o1; ['COC(=O)c1ccc(B(O)O)o1']; ['Clc1cnc2ccccn12']; [0.9989713430404663]
+c1ccc2cc(-c3cnc4ccccn34)ccc2c1; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'OB(O)c1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Brc1ccc2ccccc2c1', 'Ic1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'Clc1ccc2ccccc2c1', 'c1ccc2ccccc2c1']; ['OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'OB(O)c1ccc2ccccc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.9999990463256836, 0.9999973773956299, 0.9999908804893494, 0.9999837875366211, 0.9999349117279053, 0.9998693466186523, 0.99980628490448, 0.9990911483764648, 0.9959704875946045, 0.9580215811729431]
+Brc1cccc(-c2cnc3ccccn23)c1; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'OB(O)c1cccc(Br)c1', 'Clc1cnc2ccccn12', 'Brc1cccc(I)c1', 'Brc1cccc(Br)c1', 'Brc1cnc2ccccn12', 'Clc1cccc(Br)c1', 'Brc1ccccc1', 'Clc1cccc(Br)c1', 'Brc1cccc(Br)c1']; ['OB(O)c1cccc(Br)c1', 'CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'c1ccn2ccnc2c1', 'OB(O)c1cccc(Br)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'OB(O)c1cccc(Br)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'O=C(O)c1cnc2ccccn12']; [0.9999980330467224, 0.9999957084655762, 0.9999935626983643, 0.9999839067459106, 0.9999490976333618, 0.999948263168335, 0.9998979568481445, 0.9998208284378052, 0.9987952709197998, 0.9980008602142334, 0.9959661960601807]
+Clc1[nH]ncc1-c1cnc2ccccn12; [None]; [None]; [0]
+Oc1ccc(-c2cnc3ccccn23)cc1F; ['Brc1cnc2ccccn12', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'OB(O)c1ccc(O)c(F)c1', 'Clc1cnc2ccccn12', 'Oc1ccc(Br)cc1F', 'Oc1ccc(I)cc1F', 'Oc1ccc(Cl)cc1F', 'Oc1ccccc1F']; ['CC1(C)OB(c2ccc(O)c(F)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'OB(O)c1ccc(O)c(F)c1', 'OB(O)c1ccc(O)c(F)c1', 'c1ccn2ccnc2c1', 'OB(O)c1ccc(O)c(F)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999980926513672, 0.9999977350234985, 0.9999930262565613, 0.9999904632568359, 0.9999868869781494, 0.999975860118866, 0.9999750256538391, 0.9999028444290161, 0.9996505975723267, 0.9981093406677246, 0.9915573596954346]
+c1ccn2c(-c3c[nH]c4cnccc34)cnc2c1; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Brc1c[nH]c2cnccc12', 'Clc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'c1cc2cc[nH]c2cn1']; ['OB(O)c1c[nH]c2cnccc12', 'OB(O)c1c[nH]c2cnccc12', 'c1ccn2ccnc2c1', 'c1cc2cc[nH]c2cn1', 'OB(O)c1c[nH]c2cnccc12', 'c1ccn2ccnc2c1']; [0.999462366104126, 0.9946704506874084, 0.9906670451164246, 0.9830195307731628, 0.9757502675056458, 0.9159311056137085]
+Clc1ccccc1OCc1cnc2ccccn12; ['Clc1ccccc1I', 'OCc1cnc2ccccn12', 'Fc1ccccc1Cl']; ['OCc1cnc2ccccn12', 'Oc1ccccc1Cl', 'OCc1cnc2ccccn12']; [0.9995931386947632, 0.9990324974060059, 0.9949600696563721]
+COC(=O)c1ccc(Cl)c(-c2cnc3ccccn23)c1; ['Brc1cnc2ccccn12', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'Brc1cnc2ccccn12', 'COC(=O)c1ccc(Cl)c(I)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(N)c1', 'Brc1cnc2ccccn12', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1', 'COC(=O)c1ccc(Cl)c(Cl)c1']; ['COC(=O)c1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'Ic1cnc2ccccn12', 'COC(=O)c1ccc(Cl)c(B(O)O)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'COC(=O)c1ccc(Cl)c(Br)c1', 'O=C(O)c1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.9999974966049194, 0.9999924898147583, 0.9999790191650391, 0.9999639987945557, 0.9999442100524902, 0.9999129772186279, 0.9998844861984253, 0.9998379945755005, 0.9997808933258057, 0.9996242523193359, 0.999476432800293, 0.9978272914886475, 0.9977078437805176, 0.9525405168533325, 0.7714942693710327]
+Fc1ccc(-c2cnc3ccccn23)cc1Cl; ['Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Fc1ccc(Br)cc1Cl', 'Brc1cnc2ccccn12', 'OB(O)c1ccc(F)c(Cl)c1', 'Fc1ccc(I)cc1Cl', 'Clc1cnc2ccccn12', 'Fc1ccc(Br)cc1Cl', 'Fc1ccccc1Cl', 'Fc1ccc(Cl)cc1Cl', 'Fc1ccc(Cl)cc1Cl']; ['OB(O)c1ccc(F)c(Cl)c1', 'CC1(C)OB(c2ccc(F)c(Cl)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'c1ccn2ccnc2c1', 'OB(O)c1ccc(F)c(Cl)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'OB(O)c1ccc(F)c(Cl)c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [1.0, 1.0, 1.0, 0.9999997019767761, 0.9999992847442627, 0.9999990463256836, 0.9999988079071045, 0.9999940991401672, 0.9999895095825195, 0.9999549984931946, 0.9995782971382141, 0.9899992942810059]
+c1cnn2ncc(-c3cnc4ccccn34)c2c1; ['Brc1cnc2ccccn12', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Brc1cnn2ncccc12']; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.9999996423721313, 0.9999991655349731, 0.9999971389770508, 0.9999593496322632]
+Nc1cc(-c2cnc3ccccn23)ccn1; ['Brc1cnc2ccccn12', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Nc1cc(Br)ccn1', 'Nc1cc(I)ccn1', 'Nc1cc(Cl)ccn1']; ['CC1(C)OB(c2ccnc(N)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1', 'Nc1cc(B(O)O)ccn1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999992847442627, 0.9999983906745911, 0.99998539686203, 0.999976634979248, 0.9999301433563232, 0.9998391270637512, 0.9998093247413635, 0.9988300800323486, 0.9974605441093445]
+Oc1ccc(-c2cnc3ccccn23)c(O)c1; ['Oc1ccc(Br)c(O)c1', 'Brc1cnc2ccccn12', 'Oc1cccc(O)c1', 'Clc1cnc2ccccn12']; ['c1ccn2ccnc2c1', 'Oc1ccc(Br)c(O)c1', 'c1ccn2ccnc2c1', 'Oc1cccc(O)c1']; [0.9974521398544312, 0.9711505770683289, 0.9322386980056763, 0.8850584030151367]
+Oc1ccc(Cl)c(-c2cnc3ccccn23)c1; ['Brc1cnc2ccccn12', 'Brc1cnc2ccccn12', 'OB(O)c1cc(O)ccc1Cl', 'CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'Ic1cnc2ccccn12', 'Oc1ccc(Cl)c(I)c1', 'Clc1cnc2ccccn12']; ['CC1(C)OB(c2cc(O)ccc2Cl)OC1(C)C', 'OB(O)c1cc(O)ccc1Cl', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'OB(O)c1cc(O)ccc1Cl', 'c1ccn2ccnc2c1', 'OB(O)c1cc(O)ccc1Cl']; [0.9996074438095093, 0.9993339776992798, 0.9992902278900146, 0.9990921020507812, 0.9989945888519287, 0.998778223991394, 0.995429515838623]
+COc1cc(OC)cc(-c2cnc3ccccn23)c1; ['Brc1cnc2ccccn12', 'COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'COc1cc(OC)cc(B(O)O)c1', 'Brc1cnc2ccccn12', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(OC)cc(B(O)O)c1', 'COc1cc(I)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Br)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1', 'COc1cc(Cl)cc(OC)c1']; ['COc1cc(OC)cc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2ccccn12', 'Ic1cnc2ccccn12', 'COc1cc(OC)cc(B(O)O)c1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.9999988079071045, 0.9999985694885254, 0.999997615814209, 0.9999727606773376, 0.9999626874923706, 0.9999189376831055, 0.9998457431793213, 0.9998407363891602, 0.9979416131973267, 0.9892675280570984, 0.9102083444595337]
+NC(=O)c1cc(-c2cnc3ccccn23)c[nH]1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cnc2ccccn12; ['Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Brc1cnc2ccccn12', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Brc1cnc2ccccn12', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1I', 'Cc1ccc2[nH]ncc2c1B(O)O', 'Cc1ccc2[nH]ncc2c1Br']; ['Ic1cnc2ccccn12', 'Cc1ccc2[nH]ncc2c1B1OC(C)(C)C(C)(C)O1', 'Clc1cnc2ccccn12', 'Ic1cnc2ccccn12', 'Cc1ccc2[nH]ncc2c1B(O)O', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.9999993443489075, 0.9999991655349731, 0.9999919533729553, 0.9999229907989502, 0.9998846650123596, 0.9995969533920288, 0.9990483522415161, 0.9988394975662231, 0.9964081048965454]
+COc1ccc(-c2cnc3ccccn23)cc1OC; ['COc1ccc(B(O)O)cc1OC', 'Brc1cnc2ccccn12', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(B(O)O)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(Br)cc1OC', 'COc1ccc(I)cc1OC', 'COc1ccccc1OC', 'COc1ccc(Cl)cc1OC', 'COc1ccc(Cl)cc1OC']; ['Ic1cnc2ccccn12', 'COc1ccc(B(O)O)cc1OC', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.999998927116394, 0.9999961256980896, 0.9999868869781494, 0.999961256980896, 0.9998162984848022, 0.9997173547744751, 0.9988751411437988, 0.9971417188644409, 0.9885690808296204, 0.9852662682533264]
+Oc1ncc(-c2cnc3ccccn23)cc1Cl; ['CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Oc1ncccc1Cl', 'Oc1ncc(Br)cc1Cl', 'Oc1ncc(I)cc1Cl']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2cnc(O)c(Cl)c2)OC1(C)C', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999986886978149, 0.9999950528144836, 0.9999909400939941, 0.9995490312576294, 0.996745228767395, 0.9895954132080078]
+Cc1ccc(CO)cc1-c1cnc2ccccn12; ['Brc1cnc2ccccn12', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B(O)O', 'Brc1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Cc1ccc(CO)cc1I', 'Cc1ccc(CO)cc1Cl', 'Cc1ccc(CO)cc1B(O)O']; ['Cc1ccc(CO)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'Ic1cnc2ccccn12', 'Cc1ccc(CO)cc1Br', 'Cc1ccc(CO)cc1B(O)O', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12']; [0.9999982118606567, 0.9999884366989136, 0.999941885471344, 0.9997784495353699, 0.9994063377380371, 0.9992411136627197, 0.9992192387580872, 0.9987941980361938, 0.9978718757629395, 0.9955884218215942]
+COc1cc(CCc2cnc3ccccn23)ccc1O; [None]; [None]; [0]
+CCOc1cccc(-c2cnc3ccccn23)c1; ['Brc1cnc2ccccn12', 'CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CCOc1cccc(B(O)O)c1', 'Brc1cnc2ccccn12', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(B(O)O)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(Br)c1', 'CCOc1cccc(I)c1', 'CCOc1ccccc1']; ['CCOc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2ccccn12', 'Ic1cnc2ccccn12', 'CCOc1cccc(B(O)O)c1', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999992847442627, 0.9999983310699463, 0.999994695186615, 0.9999940395355225, 0.9999525547027588, 0.999942421913147, 0.9999226331710815, 0.9997796416282654, 0.9995597004890442, 0.9862001538276672]
+Cc1nc2ccc(-c3cnc4ccccn34)cc2[nH]1; ['Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Brc1cnc2ccccn12', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1']; ['Ic1cnc2ccccn12', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2[nH]1', 'Clc1cnc2ccccn12']; [1.0, 0.9999997615814209, 0.9999974370002747]
+c1ccn2c(-c3cnc4[nH]ccc4c3)cnc2c1; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1cnc2ccccn12', 'Brc1cnc2ccccn12']; ['OB(O)c1cnc2[nH]ccc2c1', 'Ic1cnc2ccccn12', 'CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'Clc1cnc2ccccn12', 'OB(O)c1cnc2[nH]ccc2c1', 'OB(O)c1cnc2[nH]ccc2c1']; [1.0, 1.0, 0.9999997615814209, 0.9999983310699463, 0.999998152256012, 0.9999978542327881]
+COc1cc(CCc2cnc3ccccn23)cc(OC)c1; ['COc1cc(CBr)cc(OC)c1']; ['Cc1cnc2ccccn12']; [0.8786056041717529]
+Fc1ccc(-c2nc[nH]c2-c2cnc3ccccn23)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnc3ccccn23)cc1; ['CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc(NC(N)=O)cc2)OC1(C)C', 'Clc1cnc2ccccn12']; [1.0, 0.9999995231628418, 0.9999980330467224]
+CS(=O)(=O)c1ccc(-c2cnc3ccccn23)cc1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Brc1cnc2ccccn12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Brc1cnc2ccccn12', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'CS(=O)(=O)c1ccc(I)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'CS(=O)(=O)c1ccc(Br)cc1', 'Brc1cnc2ccccn12', 'CS(=O)(=O)c1ccc(Cl)cc1', 'CS(=O)(=O)c1ccccc1', 'CS(=O)(=O)c1ccc(Cl)cc1']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'CS(=O)(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'Clc1cnc2ccccn12', 'CS(=O)(=O)c1ccc(Br)cc1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [1.0, 0.9999997615814209, 0.9999975562095642, 0.9999957084655762, 0.9998725652694702, 0.9998315572738647, 0.9997920989990234, 0.9995763301849365, 0.9995467066764832, 0.9995269775390625, 0.999284565448761, 0.9954184889793396, 0.9788883924484253, 0.977545976638794, 0.9758398532867432]
+Oc1cncc(-c2cnc3ccccn23)c1; ['Brc1cnc2ccccn12', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'OB(O)c1cncc(O)c1', 'CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Oc1cncc(I)c1', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Oc1cncc(Br)c1', 'Oc1cncc(Cl)c1', 'Oc1cccnc1']; ['CC1(C)OB(c2cncc(O)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'OB(O)c1cncc(O)c1', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'OB(O)c1cncc(O)c1', 'OB(O)c1cncc(O)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999769926071167, 0.9999517202377319, 0.9996260404586792, 0.9996248483657837, 0.9995331764221191, 0.998695969581604, 0.9978058338165283, 0.9966809749603271, 0.9935770034790039, 0.990612268447876, 0.7698408365249634]
+c1ccc2sc(-c3cnc4ccccn34)nc2c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3cnc4ccccn34)ccc2N1; ['CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Brc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(I)ccc2N1', 'O=C1Cc2cc(Br)ccc2N1']; ['Ic1cnc2ccccn12', 'O=C1Cc2cc(B(O)O)ccc2N1', 'CC1(C)OB(c2ccc3c(c2)CC(=O)N3)OC1(C)C', 'Clc1cnc2ccccn12', 'O=C1Cc2cc(B(O)O)ccc2N1', 'O=C1Cc2cc(B(O)O)ccc2N1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999979734420776, 0.9999978542327881, 0.9999879002571106, 0.999980092048645, 0.9999753832817078, 0.9999675750732422, 0.9998337030410767, 0.9990264177322388, 0.9984721541404724]
+CNC(=O)c1cccc2cc(-c3cnc4ccccn34)ccc12; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cnc2ccccn12; ['Brc1cnc2ccccn12', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)ccc1Br', 'CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1']; ['CCc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2ccccn12', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12']; [0.999833345413208, 0.9993712902069092, 0.9985179901123047, 0.9954990148544312]
+CCc1cc(O)c(F)cc1-c1cnc2ccccn12; ['Brc1cnc2ccccn12', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'CCc1cc(O)c(F)cc1Br', 'CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1']; ['CCc1cc(O)c(F)cc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2ccccn12', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12']; [0.9999814629554749, 0.999957263469696, 0.9998335838317871, 0.9996324181556702]
+CNc1nccc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cnc4ccccn34)ccc12; [None]; [None]; [0]
+CCc1sccc1-c1cnc2ccccn12; ['CCc1cccs1']; ['c1ccn2ccnc2c1']; [0.988479495048523]
+Cc1cc(O)ccc1-c1cnc2ccccn12; ['Brc1cnc2ccccn12', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Cc1cc(O)ccc1Br', 'Cc1cc(O)ccc1B(O)O', 'Cc1cc(O)ccc1B(O)O', 'Brc1cnc2ccccn12', 'Cc1cc(O)ccc1Cl', 'Cc1cc(O)ccc1I']; ['Cc1cc(O)ccc1B1OC(C)(C)C(C)(C)O1', 'Ic1cnc2ccccn12', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'Cc1cc(O)ccc1B(O)O', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.9999424815177917, 0.9998784065246582, 0.9998606443405151, 0.999473512172699, 0.9992415308952332, 0.9985547065734863, 0.9984652996063232, 0.9982903003692627, 0.9883822798728943, 0.9825342893600464]
+Clc1cnccc1-c1cnc2ccccn12; ['CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Ic1cnc2ccccn12', 'Clc1cnccc1I', 'Clc1cnccc1Br', 'Brc1cnc2ccccn12', 'OB(O)c1ccncc1Cl', 'Clc1cnccc1Br', 'Clc1ccncc1Cl', 'Clc1cnc2ccccn12', 'Clc1ccncc1Cl']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccncc2Cl)OC1(C)C', 'Clc1cnc2ccccn12', 'OB(O)c1ccncc1Cl', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'OB(O)c1ccncc1Cl', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'OB(O)c1ccncc1Cl', 'O=C(O)c1cnc2ccccn12']; [0.9999947547912598, 0.9999945759773254, 0.9999076128005981, 0.9998222589492798, 0.9998186826705933, 0.999815821647644, 0.9995235204696655, 0.9980453252792358, 0.9951440691947937, 0.993198037147522, 0.9858148097991943, 0.9524048566818237]
+CN(c1cccc(Cl)c1)c1cnc2ccccn12; ['Brc1cnc2ccccn12', 'CNc1cccc(Cl)c1']; ['CNc1cccc(Cl)c1', 'Clc1cnc2ccccn12']; [0.9988601207733154, 0.9977811574935913]
+C[C@H](CC(N)=O)c1cnc2ccccn12; [None]; [None]; [0]
+c1ccn2c(-c3ccc4c(c3)CCN4)cnc2c1; ['Brc1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Ic1ccc2c(c1)CCN2']; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'OB(O)c1ccc2c(c1)CCN2', 'c1ccn2ccnc2c1']; [1.0, 0.9999876618385315, 0.997872531414032]
+Oc1c(Cl)cc(-c2cnc3ccccn23)cc1Cl; ['CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'Brc1cnc2ccccn12', 'Oc1c(Cl)cc(Br)cc1Cl', 'Clc1cnc2ccccn12', 'Oc1c(Cl)cc(I)cc1Cl', 'Oc1c(Cl)cccc1Cl']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2cc(Cl)c(O)c(Cl)c2)OC1(C)C', 'Clc1cnc2ccccn12', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'c1ccn2ccnc2c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'c1ccn2ccnc2c1', 'OB(O)c1cc(Cl)c(O)c(Cl)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1']; [0.999980092048645, 0.9999743700027466, 0.9998922944068909, 0.9998140335083008, 0.9995304346084595, 0.9991638660430908, 0.997654378414154, 0.9949973821640015, 0.9895260334014893, 0.9730905890464783]
+Cc1n[nH]c(-c2cnc3ccccn23)c1C; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3cnc4ccccn34)cc2[nH]1; ['CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Brc1cnc2ccccn12', 'Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'Clc1cnc2ccccn12', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'O=C(O)c1cnc2ccccn12', 'O=c1[nH]c2ccc(I)cc2[nH]1']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc3[nH]c(=O)[nH]c3c2)OC1(C)C', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'Clc1cnc2ccccn12', 'O=c1[nH]c2ccc(B(O)O)cc2[nH]1', 'c1ccn2ccnc2c1', 'O=c1[nH]c2ccc(Br)cc2[nH]1', 'c1ccn2ccnc2c1']; [0.999998152256012, 0.9999973773956299, 0.9999940395355225, 0.9999877214431763, 0.9999816417694092, 0.9999617338180542, 0.9995087385177612, 0.998293399810791, 0.9963423013687134]
+FC(F)c1cc(-c2cnc3ccccn23)[nH]n1; [None]; [None]; [0]
+c1ccn2c(Nc3ccncc3)cnc2c1; ['Clc1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Ic1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Ic1ccncc1', 'Clc1ccncc1', 'Brc1ccncc1']; ['Nc1ccncc1', 'Nc1ccncc1', 'Nc1ccncc1', 'OB(O)c1ccncc1', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12', 'Nc1cnc2ccccn12']; [0.9990138411521912, 0.9984279274940491, 0.9980402588844299, 0.9960240125656128, 0.9626929759979248, 0.9258984327316284, 0.9041818380355835]
+Fc1cc(Br)ccc1-c1cnc2ccccn12; ['CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Ic1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Fc1cc(Br)ccc1I', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'Clc1cnc2ccccn12', 'OB(O)c1ccc(Br)cc1F', 'Fc1cc(Br)ccc1Br', 'Fc1cc(Br)ccc1Cl', 'Brc1cnc2ccccn12', 'Fc1cc(Br)ccc1Br', 'Fc1cccc(Br)c1']; ['Ic1cnc2ccccn12', 'OB(O)c1ccc(Br)cc1F', 'CC1(C)OB(c2ccc(Br)cc2F)OC1(C)C', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'OB(O)c1ccc(Br)cc1F', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'OB(O)c1ccc(Br)cc1F', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.9999870657920837, 0.9999810457229614, 0.9999301433563232, 0.999929666519165, 0.9999195337295532, 0.9998254776000977, 0.9997953176498413, 0.9996128082275391, 0.9991748929023743, 0.9972991943359375, 0.9960484504699707, 0.9134685397148132]
 Oc1cc(-c2cnc3ccccn23)nc2ccnn12; [None]; [None]; [0]
 Cc1oc(-c2cnc3ccccn23)cc1C(=O)[O-]; [None]; [None]; [0]
+CNc1nc(-c2cnc3ccccn23)ncc1F; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2cnc3ccccn23)c1; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'OB(O)c1cc(O)cc(Br)c1', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Clc1cnc2ccccn12', 'Oc1cc(Br)cc(Br)c1', 'Brc1cnc2ccccn12']; ['OB(O)c1cc(O)cc(Br)c1', 'Ic1cnc2ccccn12', 'c1ccn2ccnc2c1', 'CC1(C)OB(c2cc(O)cc(Br)c2)OC1(C)C', 'Clc1cnc2ccccn12', 'OB(O)c1cc(O)cc(Br)c1', 'c1ccn2ccnc2c1', 'OB(O)c1cc(O)cc(Br)c1']; [0.9999959468841553, 0.9999938607215881, 0.999961256980896, 0.9999242424964905, 0.9999145269393921, 0.9999144673347473, 0.9990826845169067, 0.9989600777626038]
+CNC(=O)c1ccc(-c2cnc3ccccn23)cc1; ['CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2ccccn12', 'CNC(=O)c1ccc(B(O)O)cc1', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Brc1cnc2ccccn12', 'CNC(=O)c1ccc(B(O)O)cc1']; ['Ic1cnc2ccccn12', 'CNC(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'CNC(=O)c1ccc(B(O)O)cc1', 'Clc1cnc2ccccn12']; [1.0, 0.9999996423721313, 0.9999989867210388, 0.999996542930603, 0.9999711513519287, 0.9999451637268066]
 CN(c1cccc2[nH]ncc12)c1cnc2ccccn12; [None]; [None]; [0]
+Cc1cc(-c2cnc3ccccn23)ccc1C(N)=O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O']; ['Ic1cnc2ccccn12', 'Clc1cnc2ccccn12']; [1.0, 0.9999995231628418]
+O=C(NC1CC1)c1ccc(-c2cnc3ccccn23)cc1; ['CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Brc1cnc2ccccn12', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Brc1cnc2ccccn12', 'O=C(NC1CC1)c1ccc(Br)cc1', 'Brc1cnc2ccccn12']; ['Ic1cnc2ccccn12', 'CC1(C)OB(c2ccc(C(=O)NC3CC3)cc2)OC1(C)C', 'Clc1cnc2ccccn12', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'O=C(NC1CC1)c1ccc(B(O)O)cc1', 'c1ccn2ccnc2c1', 'O=C(NC1CC1)c1ccc(Br)cc1']; [1.0, 1.0, 0.9999996423721313, 0.9999992847442627, 0.9999915957450867, 0.9999890327453613, 0.9999768733978271, 0.9957352876663208]
+Cn1ncc(N)c1-c1cnc2ccccn12; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnc4ccccn34)cc2o1; ['Cc1nc2ccc(B(O)O)cc2o1', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'Brc1cnc2ccccn12', 'Brc1cnc2ccccn12', 'Cc1nc2ccc(Br)cc2o1']; ['Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Clc1cnc2ccccn12', 'Cc1nc2ccc(B3OC(C)(C)C(C)(C)O3)cc2o1', 'Cc1nc2ccc(B(O)O)cc2o1', 'c1ccn2ccnc2c1']; [0.9999998211860657, 0.9999995231628418, 0.9999993443489075, 0.9999986886978149, 0.9999953508377075, 0.9998707175254822]
+Cc1cc(-c2cnc3ccccn23)cc(C)c1O; ['Brc1cnc2ccccn12', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cc(I)cc(C)c1O', 'Brc1cnc2ccccn12', 'Cc1cc(B(O)O)cc(C)c1O', 'Cc1cc(Cl)cc(C)c1O', 'Cc1cc(Br)cc(C)c1O', 'Cc1cccc(C)c1O', 'Cc1cc(Cl)cc(C)c1O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)cc(C)c1O', 'Ic1cnc2ccccn12', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'Cc1cc(B(O)O)cc(C)c1O', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12']; [0.9999740123748779, 0.9999582767486572, 0.9997696876525879, 0.9996997117996216, 0.9995551109313965, 0.9990746974945068, 0.9975388050079346, 0.9968725442886353, 0.9953957796096802, 0.9913454651832581, 0.9875880479812622, 0.961795449256897, 0.9272536039352417]
+CSc1cccc(-c2cnc3ccccn23)c1; ['Brc1cnc2ccccn12', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(B(O)O)c1', 'Brc1cnc2ccccn12', 'CSc1cccc(B(O)O)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Br)c1', 'CSc1cccc(Cl)c1', 'CSc1cccc(Cl)c1']; ['CSc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'Ic1cnc2ccccn12', 'Clc1cnc2ccccn12', 'CSc1cccc(B(O)O)c1', 'c1ccn2ccnc2c1', 'c1ccn2ccnc2c1', 'O=C(O)c1cnc2ccccn12', 'O=C(O)c1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.9999982118606567, 0.9999849796295166, 0.9999141693115234, 0.9999140501022339, 0.9998664855957031, 0.9997005462646484, 0.9987407922744751, 0.9910606145858765, 0.9908401966094971]
+Fc1ccc2n[nH]c(-c3cnc4ccccn34)c2c1; [None]; [None]; [0]
+Fc1ccc(Oc2cnc3ccccn23)c(F)c1; ['Brc1cnc2ccccn12', 'Clc1cnc2ccccn12']; ['Oc1ccc(F)cc1F', 'Oc1ccc(F)cc1F']; [0.9999990463256836, 0.9999849200248718]
+Oc1c(F)cc(-c2cnc3ccccn23)cc1F; ['Brc1cnc2ccccn12', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Brc1cnc2ccccn12', 'Oc1c(F)cc(Br)cc1F', 'Clc1cnc2ccccn12', 'Oc1c(F)cc(I)cc1F']; ['CC1(C)OB(c2cc(F)c(O)c(F)c2)OC1(C)C', 'Ic1cnc2ccccn12', 'OB(O)c1cc(F)c(O)c(F)c1', 'Clc1cnc2ccccn12', 'OB(O)c1cc(F)c(O)c(F)c1', 'c1ccn2ccnc2c1', 'OB(O)c1cc(F)c(O)c(F)c1', 'c1ccn2ccnc2c1']; [0.9999953508377075, 0.999991238117218, 0.9999589323997498, 0.999948263168335, 0.9995102882385254, 0.999506950378418, 0.99940025806427, 0.9992631077766418]
 Fc1ccc(-c2ncoc2-c2cnc3ccccn23)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1sc(C(C)(C)O)nc1C; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cnn(Cc2cccc(C#N)c2)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(CC(=O)N2CCN(C(C)=O)CC2)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(C(C)C)nc(N)n1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc(N2CCCN(C(C)=O)CC2)c1; [None]; [None]; [0]
-CCCOc1ccc(CC(=O)Nc2ccsc2C(=O)OC)nc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1nc2ccc(C(C)C)cc2[nH]1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(C(=O)N2CCOCC2)cc1OC; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(CS(C)(=O)=O)cc1OC; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cccc(C(=O)Nc2cn[nH]c2)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cn(C)c2ccc(OC)cc12; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)CNC(=O)c1cc(OC)ccc1F; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc2ccc(C(C)(C)O)cc2[nH]1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ncn2c1CCCC2; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc2c(c1)c(Cl)nn2C; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cnn(C2CCN(C(C)=O)CC2)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)CNC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(-c2cnc(C)n2C)cc1; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(-c2cnn(C)c2)cc1OC; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1ccc(S(C)(=O)=O)cc1OC; [None]; [None]; [0]
-COC(=O)c1sccc1NC(=O)Cc1cc(C(C)(C)O)n(C)n1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1cnc2ccccn12; ['Cc1onc(-c2ccccc2)c1B(O)O', 'Brc1cnc2ccccn12', 'Cc1onc(-c2ccccc2)c1I', 'Cc1onc(-c2ccccc2)c1B(O)O', 'Cc1onc(-c2ccccc2)c1B(O)O']; ['Ic1cnc2ccccn12', 'Cc1onc(-c2ccccc2)c1B(O)O', 'c1ccn2ccnc2c1', 'Clc1cnc2ccccn12', 'c1ccn2ccnc2c1']; [0.9999806880950928, 0.9999061226844788, 0.9998767971992493, 0.999737560749054, 0.9996364712715149]
+c1ccc2c(COc3cnc4ccccn34)cccc2c1; ['Brc1cnc2ccccn12', 'Clc1cnc2ccccn12']; ['OCc1cccc2ccccc12', 'OCc1cccc2ccccc12']; [0.9906443357467651, 0.9878518581390381]
+Fc1cccc(Cl)c1CNc1cnc2ccccn12; ['Brc1cnc2ccccn12', 'Ic1cnc2ccccn12', 'NCc1c(F)cccc1Cl', 'Clc1cnc2ccccn12', 'Fc1cccc(Cl)c1CBr', 'Nc1cnc2ccccn12', 'Fc1cccc(Cl)c1CCl']; ['NCc1c(F)cccc1Cl', 'NCc1c(F)cccc1Cl', 'c1ccn2ccnc2c1', 'NCc1c(F)cccc1Cl', 'Nc1cnc2ccccn12', 'O=Cc1c(F)cccc1Cl', 'Nc1cnc2ccccn12']; [1.0, 1.0, 0.9999995231628418, 0.9999992847442627, 0.9999960064888, 0.9999960064888, 0.99997878074646]
+O=c1[nH][nH]c2cc(-c3cnc4ccccn34)ccc12; ['O=c1[nH][nH]c2cc(Br)ccc12']; ['c1ccn2ccnc2c1']; [0.9957515001296997]
+Fc1ccc(COc2cnc3ccccn23)c(F)c1; ['Brc1cnc2ccccn12', 'Clc1cnc2ccccn12']; ['OCc1ccc(F)cc1F', 'OCc1ccc(F)cc1F']; [0.9998509883880615, 0.9994869828224182]
+c1ccc2c(CCc3cnc4ccccn34)c[nH]c2c1; [None]; [None]; [0]
+Fc1ccc(CCc2cnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2cnc3ccccn23)cc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ncc2ccccc2n1; [None]; [None]; [0]
+CCOc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+COc1ncccc1-c1c(C)csc1N; [None]; [None]; [0]
 Cc1csc(N)c1-c1sc(C(C)(C)O)nc1C; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnc2cccnn12; [None]; [None]; [0]
+COc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3c(C)csc3N)c2c1; [None]; [None]; [0]
+COc1cc(-c2c(C)csc2N)cc(OC)c1OC; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc(C#N)ccc1O; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(O)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3c(C)csc3N)cc2)CC1; [None]; [None]; [0]
+Cc1csc(N)c1-c1nccc2ccccc12; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
+Cc1csc(N)c1Nc1ncccn1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnn(Cc2cccc(C#N)c2)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(OCCO)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
 Cc1csc(N)c1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(N(C)C)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2c(C)csc2N)s1; [None]; [None]; [0]
+Cc1csc(N)c1Cc1ccccc1O; [None]; [None]; [0]
+Cc1csc(N)c1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 Cc1csc(N)c1-c1cc(C(C)C)nc(N)n1; [None]; [None]; [0]
+Cc1csc(N)c1Cc1cnc(N)nc1; [None]; [None]; [0]
+Cc1csc(N)c1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(Br)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3c(C)csc3N)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2c(C)csc2N)nc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
+COc1ccc(Cc2c(C)csc2N)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccn2nccc2n1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1c(C)csc1N; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccccc1-n1cccn1; [None]; [None]; [0]
+Cc1csc(N)c1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c(C)csc2N)c(C)c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2c(C)csc2N)cc1Cl; [None]; [None]; [0]
 Cc1csc(N)c1-c1nc2ccc(C(C)C)cc2[nH]1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2c(C)csc2N)c1; [None]; [None]; [0]
+COc1cc(-c2c(C)csc2N)ccc1O; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1c(C)csc1N; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc2c1OCO2; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
+Cc1csc(N)c1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
+Cc1csc(N)c1Cc1nc2ccc(F)c(F)c2[nH]1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnc2ccccc2c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1scc2c1OCCO2; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2c(C)csc2N)CC1; [None]; [None]; [0]
+Cc1csc(N)c1Cc1nc2ccccc2[nH]1; [None]; [None]; [0]
+Cc1csc(N)c1-c1csc(N)n1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Cc1ccc(-c2c(C)csc2N)c(=O)[nH]1; [None]; [None]; [0]
+Cc1csc(N)c1CCCc1ccccc1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2c(C)csc2N)c1; [None]; [None]; [0]
+CSc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc2ccccc2s1; [None]; [None]; [0]
+Cc1csc(N)c1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
+CC[C@@H](CO)c1c(C)csc1N; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3c(C)csc3N)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2c(C)csc2N)nc(N)n1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(F)cc1Cl; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc2c(c1)CCC(=O)N2; [None]; [None]; [0]
+COc1ccc(-c2c(C)csc2N)cc1OC; [None]; [None]; [0]
+Cc1csc(N)c1-c1ncc(Br)cn1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
+CCc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ncc2cccn2n1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
+Cc1csc(N)c1CCCn1cncn1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc2ccccn2n1; [None]; [None]; [0]
+COc1cc(-c2c(C)csc2N)ccc1N1CCOCC1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
+COc1ccc2cccc(-c3c(C)csc3N)c2c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
+COc1cc(F)c(-c2c(C)csc2N)cc1OC; [None]; [None]; [0]
+COc1cc(-c2c(C)csc2N)ccc1Cl; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnn(CCO)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ncc(Cl)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ncnc2c(C)csc12; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2c(C)csc2N)c1; [None]; [None]; [0]
 Cc1csc(N)c1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
+COc1cc(-c2c(C)csc2N)c(OC)cc1Br; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2c(C)csc2N)nc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2c(C)csc2N)CC1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1c(C)csc1N; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2c(C)csc2N)CC1; [None]; [None]; [0]
 Cc1csc(N)c1-c1cccc(C(=O)Nc2cn[nH]c2)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2c(C)csc2N)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1c(C)csc1N)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2c(C)csc2N)c1; [None]; [None]; [0]
+COc1ccc2oc(-c3c(C)csc3N)cc2c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
+CCn1cc(-c2c(C)csc2N)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2c(C)csc2N)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
+COc1ccc2nc(-c3c(C)csc3N)[nH]c2c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc(Br)cn1C; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc2ccccc2o1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ncc2sccc2n1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cn(C)nc1C(C)C; [None]; [None]; [0]
 Cc1csc(N)c1-c1cc2ccc(C(C)(C)O)cc2[nH]1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2c(C)csc2N)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cn(C)c2ccccc12; [None]; [None]; [0]
+CCc1cccc(-c2c(C)csc2N)n1; [None]; [None]; [0]
 Cc1csc(N)c1-c1ncn2c1CCCC2; [None]; [None]; [0]
+Cc1cc(-c2c(C)csc2N)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(N(C)C)nc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc2c(c1)c(Cl)nn2C; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3c(C)csc3N)cn2)CC1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(CCO)cc1; [None]; [None]; [0]
 Cc1csc(N)c1NC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 Cc1csc(N)c1-c1ccc(-c2cnc(C)n2C)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1c(C)csc1N; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1c(C)csc1N; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1c(C)csc1N; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1c(C)csc1N; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c(C)csc2N)c(OC)c1; [None]; [None]; [0]
 Cc1csc(N)c1-c1cc(C(C)(C)O)n(C)n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1csc(N)c1[C@H](C)CS(C)(=O)=O; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(=O)N(C)C)cn1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2c(C)csc2N)[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2c(C)csc2N)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1c(C)csc1N; [None]; [None]; [0]
+CCOc1ccccc1-c1c(C)csc1N; [None]; [None]; [0]
+COC(C)(C)CCc1c(C)csc1N; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1c(C)csc1N; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccccc1S(=O)(=O)C(C)C; [None]; [None]; [0]
+Cc1csc(N)c1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccccc1OC(F)(F)F; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccccc1P(C)(C)=O; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccnc2ccccc12; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccccc1C(N)=O; [None]; [None]; [0]
 Cc1csc(N)c1-n1ncc2cccc(F)c2c1=O; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+Cc1ccc(-c2c(C)csc2N)c(Br)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc(Cl)ccc1Cl; [None]; [None]; [0]
+COc1cnc(-c2c(C)csc2N)nc1; [None]; [None]; [0]
+Cc1csc(N)c1OCC(=O)C(C)C; [None]; [None]; [0]
+Cc1csc(N)c1-c1c(C)nc2ccccn12; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnc2ccccn12; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(Br)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CNc1nc(C)c(-c2c(C)csc2N)s1; [None]; [None]; [0]
+Cc1csc(N)c1-c1sc(N)nc1C; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2c(C)csc2N)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Cc1csc(N)c1NCc1cccnc1; [None]; [None]; [0]
 Cc1csc(N)c1-c1sc(=O)n(C)c1C; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccnc(N)n1; [None]; [None]; [0]
 Cc1csc(N)c1-c1cnn2ncccc12; [None]; [None]; [0]
-Cc1csc(N)c1Cc1ncc(C(C)(C)C)o1; [None]; [None]; [0]
+Cc1csc(N)c1Nc1cccnc1; [None]; [None]; [0]
+Cc1csc(N)c1-n1cnc2ccccc21; [None]; [None]; [0]
+Cc1csc(N)c1NCCc1c[nH]cn1; [None]; [None]; [0]
+Cc1csc(N)c1NC(=O)c1cccs1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1c[nH]nc1C(F)(F)F; [None]; [None]; [0]
+Cc1csc(N)c1-c1cncc2ccccc12; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(F)c1C(N)=O; [None]; [None]; [0]
+Cc1csc(N)c1NCCc1ccccc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(-c2cnn(C)c2)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(-c2cn[nH]c2)cc1; [None]; [None]; [0]
 Cc1csc(N)c1-c1ccc2c(c1)CS(=O)(=O)N2C; [None]; [None]; [0]
+CCCn1cnc(-c2c(C)csc2N)n1; [None]; [None]; [0]
+Cc1csc(N)c1NCc1ccc(Cl)cc1; [None]; [None]; [0]
 COc1cc(-c2c(C)csc2N)ccc1C(=O)[O-]; [None]; [None]; [0]
+Cc1csc(N)c1Nc1ccncc1; [None]; [None]; [0]
 Cc1csc(N)c1-c1cn(C(C)C)nn1; [None]; [None]; [0]
-Cc1csc(N)c1CCNC(=O)CC(C)(C)O; [None]; [None]; [0]
+Cc1csc(N)c1NCc1ccccc1F; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(CO)c1; [None]; [None]; [0]
+CSc1nc(-c2c(C)csc2N)c[nH]1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnoc1C(C)C; [None]; [None]; [0]
+Cc1csc(N)c1-c1csc2ncncc12; [None]; [None]; [0]
 Cc1csc(N)c1CCc1c[nH]nn1; [None]; [None]; [0]
-Cc1csc(N)c1NC(=O)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc2ccccc2[nH]1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cncnc1N; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(CCC#N)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3c(C)csc3N)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2c(C)csc2N)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
+Cc1csc(N)c1CCCC(N)=O; [None]; [None]; [0]
+Cc1csc(N)c1Oc1ccccn1; [None]; [None]; [0]
+Cc1csc(N)c1N1CCC(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Cc1csc(N)c1CCNC(=O)CC(C)(C)O; [None]; [None]; [0]
 Cc1csc(N)c1OCC(C)(C)S(C)(=O)=O; [None]; [None]; [0]
+Cc1csc(N)c1NC(=O)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+COc1ccc(-c2c(C)csc2N)cc1Cl; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnn2ccccc12; [None]; [None]; [0]
 Cc1csc(N)c1-c1ccc(C[NH3+])c(C(F)(F)F)c1; [None]; [None]; [0]
+COc1cc(CCc2c(C)csc2N)cc(OC)c1; [None]; [None]; [0]
+CCCn1cc(-c2c(C)csc2N)cn1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc([S@](C)=O)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1c(C)csc1N; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc2c1C(=O)CC2; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc[nH]c(=O)c1; [None]; [None]; [0]
 Cc1csc(N)c1O[C@H](C)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-Cc1csc(N)c1-c1cc2c(=O)[nH]cc(Br)c2s1; [None]; [None]; [0]
+CCN(CC)c1c(C)csc1N; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
 Cc1csc(N)c1Nc1cnccc1-c1ccccc1; [None]; [None]; [0]
+COc1ccncc1Nc1c(C)csc1N; [None]; [None]; [0]
+Cc1csc(N)c1-c1cc2c(=O)[nH]cc(Br)c2s1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cncc(OC(C)C)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1c(C)csc1N; [None]; [None]; [0]
+Cc1csc(N)c1Nc1cnc2ccccc2c1; [None]; [None]; [0]
+Cc1csc(N)c1C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1c(C)csc1N; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1c[nH]c2cnccc12; [None]; [None]; [0]
 Cc1csc(N)c1N(C)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Cc1cc(-c2c(C)csc2N)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(S(=O)(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-n1ccc(CO)n1; [None]; [None]; [0]
+Cc1csc(N)c1N[C@@H](C)C(C)(C)O; [None]; [None]; [0]
 Cc1csc(N)c1N[C@@H](C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
-Cc1csc(N)c1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
+Cc1csc(N)c1N[C@H](C)C(C)(C)O; [None]; [None]; [0]
+Cc1csc(N)c1-n1cnc(CCO)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1c(F)cccc1Cl; [None]; [None]; [0]
+Cc1csc(N)c1-n1ncc2ccccc21; [None]; [None]; [0]
+Cc1csc(N)c1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+Cc1csc(N)c1-n1ncc2c(O)cccc21; [None]; [None]; [0]
+Cc1csc(N)c1-c1nncn1C(C)C; [None]; [None]; [0]
 Cc1csc(N)c1Cc1nnc2ccc(-c3ccccc3)nn12; [None]; [None]; [0]
+CSc1nc(C)c(-c2c(C)csc2N)[nH]1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
+COc1ccc(-c2c(C)csc2N)c(OC)c1; [None]; [None]; [0]
+Cc1csc(N)c1-c1nncn1C1CC1; [None]; [None]; [0]
+Cc1csc(N)c1-c1nnc(N)s1; ['Cc1csc(N)c1C#N']; ['NNC(N)=S']; [0.8362489938735962]
+Cc1csc(N)c1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
+Cc1csc(N)c1CCC(=O)NCc1ccccn1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
 Cc1csc(N)c1CS(=O)(=O)NCc1ccccn1; [None]; [None]; [0]
+CCCCc1cc(-c2c(C)csc2N)nc(N)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2c(C)csc2N)CC1; [None]; [None]; [0]
 Cc1csc(N)c1-c1cc(C(N)=O)cn1C; [None]; [None]; [0]
+CCc1cc(-c2c(C)csc2N)nc(N)n1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc(C(C)(C)O)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c(C)csc2N)s1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cncc(N)n1; [None]; [None]; [0]
+Cc1csc(N)c1-c1nc2ccccc2s1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3c(C)csc3N)c2)cc1; [None]; [None]; [0]
 Cc1csc(N)c1Oc1ccc(C[NH3+])cc1F; [None]; [None]; [0]
 Cc1csc(N)c1-c1ccc2c(n1)NC(=O)C(C)(C)O2; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3c(C)csc3N)c2)cc1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cccc2ccsc12; [None]; [None]; [0]
 Cc1csc(N)c1-c1cccc2nnsc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c(C)csc2N)[nH]1; [None]; [None]; [0]
+Cc1csc(N)c1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
+Cc1csc(N)c1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+Cc1csc(N)c1-c1cn(CCO)cn1; [None]; [None]; [0]
+Cc1csc(N)c1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1c(C)csc1N; [None]; [None]; [0]
+COc1ccc(OC)c(-c2c(C)csc2N)c1; [None]; [None]; [0]
 COc1ccc(Oc2c(C)csc2N)c(F)c1F; [None]; [None]; [0]
-Cc1csc(N)c1-c1cccc(C(C)(C)O)n1; [None]; [None]; [0]
+CCCNc1cc(Nc2cc(C)ns2)ccn1; [None]; [None]; [0]
+Cc1csc(N)c1[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
+Cc1csc(N)c1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
+Cc1csc(N)c1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
+CCCNc1cc(Nc2ccncn2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Nc1ccncn1']; [0.9994735717773438]
+Cc1csc(N)c1-c1cccc(S(=O)(=O)N(C)C)c1; [None]; [None]; [0]
+CCCNc1cc(NCc2ccc(OC)cc2)ccn1; ['CCCNc1cc(Br)ccn1']; ['COc1ccc(CN)cc1']; [0.998638391494751]
+CCCNc1cc(Nc2nc(C)c(C)s2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Cc1nc(N)sc1C']; [0.9999986886978149]
 Cc1csc(N)c1-c1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
+CCCNc1cc(OCC2(C)COC2)ccn1; [None]; [None]; [0]
+CCCNc1cc(Nc2cc(C)n(C)n2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Cc1cc(N)nn1C']; [0.9999142289161682]
+CCCNc1cc(NC(=O)c2ccco2)ccn1; ['CCCNc1cc(Br)ccn1']; ['NC(=O)c1ccco1']; [0.9918015003204346]
+CCCNc1cc(Nc2ccc(F)cn2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Nc1ccc(F)cn1']; [0.9980148673057556]
+Cc1csc(N)c1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
+CCCNc1cc(Nc2cc(C)c(F)cn2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Cc1cc(N)ncc1F']; [0.9990313053131104]
+CCCNc1cc(NC(=O)c2ccc(C(C)(C)C)cc2)ccn1; ['CC(C)(C)c1ccc(C(N)=O)cc1']; ['CCCNc1cc(Br)ccn1']; [0.9963982701301575]
+CCCNc1cc(NC2CN(C(=O)C3CC3)C2)ccn1; [None]; [None]; [0]
+CCCNc1cc(Nc2ccccn2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Nc1ccccn1']; [0.9967033863067627]
+CCCNc1cc(-c2ccccc2C(=O)NC)ccn1; ['CCCNc1cc(Br)ccn1']; ['CNC(=O)c1ccccc1B(O)O']; [0.9998862743377686]
+CCCNc1cc(-c2ccccc2OCC)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['CCOc1ccccc1B1OC(C)(C)C(C)(C)O1', 'CCOc1ccccc1B(O)O']; [0.9999932050704956, 0.9996813535690308]
+CCCNc1cc(-c2ccccc2S(=O)(=O)C(C)C)ccn1; ['CC(C)S(=O)(=O)c1ccccc1B(O)O']; ['CCCNc1cc(Br)ccn1']; [0.9998942613601685]
+CCCNc1cc(-c2cccc(C(F)(F)F)c2)ccn1; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1cccc(C(F)(F)F)c1']; [0.9999988079071045, 0.9999365210533142]
+CCCNc1cc(-c2ccnc3ccccc23)ccn1; ['CC1(C)OB(c2ccnc3ccccc23)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1ccnc2ccccc12']; [0.9999889135360718, 0.9940921664237976]
+CCCNc1cc(-c2cnn(CC)c2)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['CCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCn1cc(B(O)O)cn1', 'CCn1cc(I)cn1']; [1.0, 0.9999923706054688, 0.9996627569198608]
+CCCNc1cc(Cc2cc(F)cc(F)c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccccc2-c2nnc(C)[nH]2)ccn1; [None]; [None]; [0]
+CCCNc1cc(CCC(C)(C)OC)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccccc2OC(F)(F)F)ccn1; ['CC1(C)OB(c2ccccc2OC(F)(F)F)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1ccccc1OC(F)(F)F']; [0.9999971985816956, 0.9996559619903564]
+CCCNc1cc(-c2ccccc2P(C)(C)=O)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccccc2C(N)=O)ccn1; ['CC1(C)OB(c2ccccc2C(N)=O)OC1(C)C', 'CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'NC(=O)c1ccccc1B(O)O', 'NC(=O)c1ccccc1I', 'NC(=O)c1ccccc1Br']; [0.9999969005584717, 0.9997825622558594, 0.9997081160545349, 0.9267838001251221]
+CCCNc1cc(-c2cnn(Cc3ccccc3)c2)ccn1; ['CC1(C)OB(c2cnn(Cc3ccccc3)c2)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1cnn(Cc2ccccc2)c1']; [1.0, 0.9999945759773254]
+CCCNc1cc(-c2cnn(CCO)c2)ccn1; ['CC1(C)OB(c2cnn(CCO)c2)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OCCn1cc(B(O)O)cn1']; [0.9999997019767761, 0.9999805092811584]
+CCCNc1cc(-c2ccccc2C(=O)[O-])ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccc3ncn(C)c(=O)c3c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2csc(C(C)(C)C)n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-n2ncc3cccc(F)c3c2=O)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cc(Cl)ccc2Cl)ccn1; ['CC1(C)OB(c2cc(Cl)ccc2Cl)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1cc(Cl)ccc1Cl']; [0.9999970197677612, 0.9999252557754517]
+CCCNc1cc(-c2ccc(C)cc2Br)ccn1; ['CCCNc1cc(Br)ccn1']; ['Cc1ccc(B(O)O)c(Br)c1']; [0.9658156633377075]
+CCCNc1cc(-c2ncc(OC)cn2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccc(NC(=O)c3ccccc3)c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(OCC(=O)C(C)C)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cnc(-c3ccccc3)[nH]2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2sc(C)nc2C)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2sc(N)nc2C)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cnc3cccnn23)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2sc(NC)nc2C)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cnc3ccccn23)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2c(Cl)cccc2Cl)ccn1; ['CCCNc1cc(Br)ccn1']; ['OB(O)c1c(Cl)cccc1Cl']; [0.997943639755249]
+CCCNc1cc(-c2cccc(Br)c2)ccn1; ['CC1(C)OB(c2cccc(Br)c2)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1cccc(Br)c1']; [0.9999558925628662, 0.9982627034187317]
+CCCNc1cc(-c2c(C)nc3ccccn23)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cc(C)ccc2Cl)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['Cc1ccc(Cl)c(B2OC(C)(C)C(C)(C)O2)c1', 'Cc1ccc(Cl)c(B(O)O)c1']; [0.9999744892120361, 0.9998722076416016]
+CCCNc1cc(NCc2cccnc2)ccn1; ['CCCNc1cc(Br)ccn1']; ['NCc1cccnc1']; [0.9933182001113892]
+CCCNc1cc(-c2ccc3ccccc3c2)ccn1; ['CC1(C)OB(c2ccc3ccccc3c2)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1ccc2ccccc2c1']; [0.9999964237213135, 0.9999585151672363]
+CCCNc1cc(Nc2cccnc2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Nc1cccnc1']; [0.9999409914016724]
+CCCNc1cc(-c2cnn3ncccc23)ccn1; ['CC1(C)OB(c2cnn3ncccc23)OC1(C)C']; ['CCCNc1cc(Br)ccn1']; [0.9999995231628418]
+CCCNc1cc(-n2cnc3ccccc32)ccn1; ['CCCNc1cc(Br)ccn1']; ['c1ccc2[nH]cnc2c1']; [0.9966485500335693]
+CCCNc1cc(-c2ccnc(N)n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(NCCc2c[nH]cn2)ccn1; ['CCCNc1cc(Br)ccn1']; ['NCCc1c[nH]cn1']; [0.9980686902999878]
+CCCNc1cc(NC(=O)c2cccs2)ccn1; ['CCCN', 'CCCNc1cc(Br)ccn1']; ['O=C(Nc1ccnc(Cl)c1)c1cccs1', 'NC(=O)c1cccs1']; [0.9997835159301758, 0.9982656240463257]
+CCCNc1cc(-c2c[nH]nc2C(F)(F)F)ccn1; ['CC1(C)OB(c2c[nH]nc2C(F)(F)F)OC1(C)C']; ['CCCNc1cc(Br)ccn1']; [0.9999974966049194]
+CCCNc1cc(-c2cccc(F)c2C(N)=O)ccn1; ['CCCNc1cc(Br)ccn1']; ['NC(=O)c1c(F)cccc1Br']; [0.9986757636070251]
+CCCNc1cc(-c2sc(=O)n(C)c2C)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccc(Cn3cncn3)c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cncc3ccccc23)ccn1; ['CC1(C)OB(c2cncc3ccccc23)OC1(C)C', 'CCCNc1cc(Br)ccn1', 'Brc1cncc2ccccc12']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1cncc2ccccc12', 'CCCNc1cc(Br)ccn1']; [1.0, 0.9998905658721924, 0.9990243911743164]
+CCCNc1cc(-c2cccc(CC(=O)[O-])c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(NCCc2ccccc2)ccn1; ['CCCNc1cc(Br)ccn1']; ['NCCc1ccccc1']; [0.9925450682640076]
+CCCNc1cc(-c2ccc3c(cnn3C)c2)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['Cn1ncc2cc(B3OC(C)(C)C(C)(C)O3)ccc21', 'Cn1ncc2cc(B(O)O)ccc21']; [1.0, 0.9999986886978149]
+CCCNc1cc(NCc2ccc(Cl)cc2)ccn1; ['CCCNc1cc(Br)ccn1']; ['NCc1ccc(Cl)cc1']; [0.9995472431182861]
+CCCNc1cc(-c2ccc(-c3cn[nH]c3)cc2)ccn1; ['CC1(C)OB(c2ccc(-c3cn[nH]c3)cc2)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1ccc(-c2cn[nH]c2)cc1']; [0.9999998807907104, 0.999991774559021]
+CCCNc1cc(-c2ccc(-c3cnn(C)c3)cc2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Cn1cc(-c2ccc(B3OC(C)(C)C(C)(C)O3)cc2)cn1']; [1.0]
+CCCNc1cc(-c2cccc(O)c2)ccn1; ['CC1(C)OB(c2cccc(O)c2)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1cccc(O)c1']; [0.9999433159828186, 0.999524712562561]
+CCCNc1cc(-c2cccc(CO)c2)ccn1; ['CC1(C)OB(c2cccc(CO)c2)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OCc1cccc(B(O)O)c1']; [0.9999947547912598, 0.99778151512146]
+CCCNc1cc(Nc2ccncc2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Nc1ccncc1']; [0.9999545812606812]
+CCCNc1cc(-c2ccc3c(N)[nH]nc3c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ncn(CCC)n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccc3c(c2)CS(=O)(=O)N3C)ccn1; [None]; [None]; [0]
+CCCNc1cc(NCc2ccccc2F)ccn1; ['CCCNc1cc(Br)ccn1']; ['NCc1ccccc1F']; [0.9961634874343872]
+CCCNc1cc(-c2cn(C(C)C)nn2)ccn1; ['CC(C)n1ccnn1']; ['CCCNc1cc(Br)ccn1']; [0.99997878074646]
+CCCNc1cc(-c2c[nH]c(SC)n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccc(CCC#N)c2)ccn1; ['CCCNc1cc(Br)ccn1']; ['N#CCCc1cccc(B(O)O)c1']; [0.9999295473098755]
+CCCNc1cc(-c2ccc(C(=O)[O-])c(OC)c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2csc3ncncc23)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cncnc2N)ccn1; ['CCCNc1cc(Br)ccn1']; ['Nc1ncncc1Br']; [0.9970231056213379]
+CCCNc1cc(CCc2c[nH]nn2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2csc(N)n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cc3ccccc3[nH]2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cnoc2C(C)C)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccc(F)cc2C(F)(F)F)ccn1; ['CCCNc1cc(Br)ccn1']; ['OB(O)c1ccc(F)cc1C(F)(F)F']; [0.9996665716171265]
+CCCNc1cc(Oc2ccccn2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccc(NC(=O)CC)cc2)ccn1; ['CCC(=O)Nc1ccc(B2OC(C)(C)C(C)(C)O2)cc1']; ['CCCNc1cc(Br)ccn1']; [1.0]
+CCCNc1cc(N2CCC(S(C)(=O)=O)CC2)ccn1; ['CCCNc1cc(Br)ccn1']; ['CS(=O)(=O)C1CCNCC1']; [0.9993984699249268]
+CCCNc1cc(NC(=O)c2c(Cl)cccc2Cl)ccn1; ['CCCNc1cc(Br)ccn1']; ['NC(=O)c1c(Cl)cccc1Cl']; [0.9951635599136353]
+CCCNc1cc(-c2cccc(NC(C)=O)c2)ccn1; ['CC(=O)Nc1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(=O)Nc1cccc(B(O)O)c1']; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; [0.9999974966049194, 0.9996700286865234]
+CCCNc1cc(CCNC(=O)CC(C)(C)O)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cn(C)c3ccccc23)ccn1; ['CCCNc1cc(Br)ccn1']; ['Cn1cc(B2OC(C)(C)C(C)(C)O2)c2ccccc21']; [0.9999985694885254]
+CCCNc1cc(-c2ccc3nc(NCC)sc3c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccc(OC)c(Cl)c2)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)cc1Cl', 'COc1ccc(B(O)O)cc1Cl']; [0.9999998807907104, 0.9999781847000122]
+CCCNc1cc(-c2cnn3ccccc23)ccn1; ['CC1(C)OB(c2cnn3ccccc23)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1cnn2ccccc12']; [0.9999997615814209, 0.9999735355377197]
+CCCNc1cc(CCCC(N)=O)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cnn(CCC)c2)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['CCCn1cc(B2OC(C)(C)C(C)(C)O2)cn1', 'CCCn1cc(B(O)O)cn1', 'CCCn1cc(I)cn1']; [0.9999996423721313, 0.9999933242797852, 0.9999228715896606]
+CCCNc1cc(-c2cc[nH]c(=O)c2)ccn1; ['CC1(C)OB(c2cc[nH]c(=O)c2)OC1(C)C']; ['CCCNc1cc(Br)ccn1']; [0.9999892711639404]
+CCCNc1cc(OCC(C)(C)S(C)(=O)=O)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccc3c2C(=O)CC3)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccc([S@](C)=O)cc2)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['CS(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CS(=O)c1ccc(B(O)O)cc1']; [0.9999984502792358, 0.9999947547912598]
+CCCNc1cc(N(CC)CC)ccn1; ['CCCNc1cc(Br)ccn1']; ['CCNCC']; [0.9441201686859131]
+CCCNc1cc(-c2ccc(C(C)(C)N)cc2)ccn1; [None]; [None]; [0]
+CCCNc1cc(O[C@H](C)c2c(Cl)cncc2Cl)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccccc2S(=O)(=O)NCC)ccn1; [None]; [None]; [0]
+CCCNc1cc(CCc2cc(OC)cc(OC)c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(Nc2cnccc2OC)ccn1; ['CCCNc1cc(Br)ccn1']; ['COc1ccncc1N']; [0.99976646900177]
+CCCNc1cc(-c2cncc(OC(C)C)c2)ccn1; ['CC(C)Oc1cncc(B2OC(C)(C)C(C)(C)O2)c1', 'CC(C)Oc1cncc(B(O)O)c1', 'CC(C)Oc1cncc(Br)c1']; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; [0.9999998807907104, 0.9999969601631165, 0.9996578097343445]
+CCCNc1cc(Nc2cnccc2-c2ccccc2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Nc1cnccc1-c1ccccc1']; [0.9999550580978394]
+CCCNc1cc(-c2c(F)cccc2OC)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['COc1cccc(F)c1B1OC(C)(C)C(C)(C)O1', 'COc1cccc(F)c1B(O)O']; [0.9999997615814209, 0.9999240636825562]
+CCCNc1cc(Nc2cnc3ccccc3c2)ccn1; ['CCCNc1cc(Br)ccn1']; ['Nc1cnc2ccccc2c1']; [0.9999773502349854]
+CCCNc1cc(-c2ccc(C(C)(C)C)cc2)ccn1; ['CC(C)(C)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)c1ccc(B(O)O)cc1']; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; [0.9999998211860657, 0.9999978542327881]
+CCCNc1cc(-c2cc3c(=O)[nH]ccc3o2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cnc3[nH]ccc3c2)ccn1; ['CC1(C)OB(c2cnc3[nH]ccc3c2)OC1(C)C', 'CCCNc1cc(Br)ccn1', 'Brc1cnc2[nH]ccc2c1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1cnc2[nH]ccc2c1', 'CCCNc1cc(Br)ccn1']; [1.0, 0.999995231628418, 0.9992566704750061]
+CCCNc1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2c[nH]c3cnccc23)ccn1; ['CCCNc1cc(Br)ccn1']; ['OB(O)c1c[nH]c2cnccc12']; [0.8787732124328613]
+CCCNc1cc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)ccn1; ['CC(C)(C)NS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CC(C)(C)NS(=O)(=O)c1ccc(B(O)O)cc1']; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; [1.0, 0.9999983310699463]
+CCCNc1cc(-c2ccc(S(=O)(=O)NC)cc2)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['CNS(=O)(=O)c1ccc(B2OC(C)(C)C(C)(C)O2)cc1', 'CNS(=O)(=O)c1ccc(B(O)O)cc1']; [0.9999993443489075, 0.9999954700469971]
+CCCNc1cc(-c2ccc(S(C)(=O)=O)cc2)ccn1; ['CC1(C)OB(c2ccc(S(C)(=O)=O)cc2)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'CS(=O)(=O)c1ccc(B(O)O)cc1']; [1.0, 0.9999975562095642]
+CCCNc1cc(-c2cccc(F)c2C(=O)NC)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccc(N3CCOCC3)cc2)ccn1; ['CC1(C)OB(c2ccc(N3CCOCC3)cc2)OC1(C)C', 'CCCNc1cc(Br)ccn1', 'Brc1ccc(N2CCOCC2)cc1', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1ccc(N2CCOCC2)cc1', 'CCCNc1cc(Br)ccn1', 'Ic1ccc(N2CCOCC2)cc1']; [1.0, 0.9999996423721313, 0.9999287724494934, 0.9998700618743896]
+CCCNc1cc(C2(C)CCN(S(C)(=O)=O)CC2)ccn1; [None]; [None]; [0]
+CCCNc1cc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)ccn1; [None]; [None]; [0]
+CCCNc1cc(N[C@@H](C)C(C)(C)O)ccn1; ['CCCNc1cc(Br)ccn1']; ['C[C@H](N)C(C)(C)O']; [0.9980195164680481]
+CCCNc1cc(-c2c(F)cccc2Cl)ccn1; ['CC1(C)OB(c2c(F)cccc2Cl)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1c(F)cccc1Cl']; [0.9999996423721313, 0.9999551773071289]
+CCCNc1cc(-c2cc(C)nn2-c2cccc(Cl)c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(N[C@H](C)C(C)(C)O)ccn1; ['CCCNc1cc(Br)ccn1']; ['C[C@@H](N)C(C)(C)O']; [0.9980195164680481]
+CCCNc1cc(-n2ncc3ccccc32)ccn1; ['CCCNc1cc(Br)ccn1']; ['c1ccc2[nH]ncc2c1']; [0.9559755325317383]
+CCCNc1cc(N[C@@H](C)C(=O)NCC(F)(F)F)ccn1; [None]; [None]; [0]
+CCCNc1cc(-n2ccc(CO)n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-n2cnc(CCO)c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2nc3ccc(O)cc3[nH]2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-n2ncc3c(O)cccc32)ccn1; ['CCCNc1cc(Br)ccn1']; ['Oc1cccc2[nH]ncc12']; [0.9853980541229248]
+CCCNc1cc(-c2ccc(OC)cc2OC)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['COc1ccc(B2OC(C)(C)C(C)(C)O2)c(OC)c1', 'COc1ccc(B(O)O)c(OC)c1']; [0.9999959468841553, 0.9996885657310486]
+CCCNc1cc(-c2ccc(-n3cncn3)cc2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccc(C(=O)c3ccccc3)cc2)ccn1; ['CC1(C)OB(c2ccc(C(=O)c3ccccc3)cc2)OC1(C)C', 'CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'O=C(c1ccccc1)c1ccc(B(O)O)cc1', 'O=C(c1ccccc1)c1ccc(I)cc1', 'O=C(c1ccccc1)c1ccc(Br)cc1']; [0.9999995231628418, 0.9999904632568359, 0.9977054595947266, 0.9587630033493042]
+CCCNc1cc(-c2[nH]c(SC)nc2C)ccn1; [None]; [None]; [0]
+CCCNc1cc([C@@H]2CC[C@@H](NC(C)=O)CC2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2nncn2C(C)C)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2nncn2C2CC2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ccn(CC[NH3+])n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(Cc2nnc3ccc(-c4ccccc4)nn23)ccn1; [None]; [None]; [0]
+CCCNc1cc(CCC(=O)NCc2ccccn2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2nnc(N)s2)ccn1; ['CCCN']; ['Nc1nnc(-c2ccnc(Cl)c2)s1']; [0.9994243383407593]
+CCCNc1cc(-c2cn(Cc3ccccc3)nn2)ccn1; [None]; [None]; [0]
+CCCNc1cc(CS(=O)(=O)NCc2ccccn2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccc(C(C)(C)O)n2)ccn1; ['CC(C)(O)c1cccc(Br)n1']; ['CCCNc1cc(Br)ccn1']; [0.9915369749069214]
+CCCNc1cc(-c2cc(CC)nc(N)n2)ccn1; [None]; [None]; [0]
+CCCCc1cc(-c2ccnc(NCCC)c2)nc(N)n1; [None]; [None]; [0]
+CCCNc1cc(-c2ccc(C(=O)NC)s2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cc(C(N)=O)cn2C)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cncc(N)n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccc3ccsc23)ccn1; ['CC1(C)OB(c2cccc3ccsc23)OC1(C)C', 'CCCNc1cc(Br)ccn1']; ['CCCNc1cc(Br)ccn1', 'OB(O)c1cccc2ccsc12']; [0.9999997615814209, 0.9998750686645508]
+CCCNc1cc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)ccn1; ['CC1(C)Oc2ccc(Br)nc2NC1=O', 'CC1(C)Oc2cccnc2NC1=O']; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; [0.9760620594024658, 0.9387868642807007]
+CCCNc1cc(C2CCN(C(=O)N[C@@H2]C)CC2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2nc3ccccc3s2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccc3nnsc23)ccn1; ['Brc1cccc2nnsc12']; ['CCCNc1cc(Br)ccn1']; [0.9967972040176392]
+CCCNc1cc(-c2c[nH]c3cccnc23)ccn1; ['CC1(C)OB(c2c[nH]c3cccnc23)OC1(C)C']; ['CCCNc1cc(Br)ccn1']; [0.9999994039535522]
+CCCNc1cc(-c2nc(N)c3ccccc3n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ncc3ccccc3n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2ncc3cc[nH]c3n2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccc(C(=O)Nc3ccc(C(=O)NC)cc3)c2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cnc(NC(C)=O)[nH]2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccnc2OC)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['COc1ncccc1B1OC(C)(C)C(C)(C)O1', 'COc1ncccc1B(O)O', 'COc1ncccc1Br']; [0.999995231628418, 0.9980272650718689, 0.8867430686950684]
+CCCNc1cc(-c2cc(C#N)ccc2OC)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['COc1ccc(C#N)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(C#N)cc1B(O)O']; [1.0, 0.9999973177909851]
+CCCNc1cc(-c2cc(OC)ccc2OC)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['COc1ccc(OC)c(B2OC(C)(C)C(C)(C)O2)c1', 'COc1ccc(OC)c(B(O)O)c1']; [0.9999977350234985, 0.9999727010726929]
+CCCNc1cc(-c2cn(CCO)cn2)ccn1; [None]; [None]; [0]
+CCCNc1cc(Oc2ccc(C[NH3+])cc2F)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccc(S(=O)(=O)N(C)C)c2)ccn1; ['CCCNc1cc(Br)ccn1', 'CCCNc1cc(Br)ccn1']; ['CN(C)S(=O)(=O)c1cccc(B2OC(C)(C)C(C)(C)O2)c1', 'CN(C)S(=O)(=O)c1cccc(B(O)O)c1']; [0.9999986886978149, 0.9997409582138062]
+CCCNc1cc(Oc2ccc(OC)c(F)c2F)ccn1; [None]; [None]; [0]
+CCCNc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)ccn1; ['CCCNc1cc(Br)ccn1']; ['c1ccc2[nH]c(C3CCNCC3)nc2c1']; [0.9999069571495056]
+CCCNc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)ccn1; ['C1=C(c2c[nH]c3ccccc23)CCNC1']; ['CCCNc1cc(Br)ccn1']; [0.9999706745147705]
+CCCNc1cc([C@H]2CC[C@@](C)(O)CC2)ccn1; [None]; [None]; [0]
+CCCNc1cc(-c2cccc(NC(=O)C3CCNCC3)c2)ccn1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc(O)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc2ncccc12; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
+CCc1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
+CCCNc1cc(-c2cnnc(N(C)C)c2)ccn1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(Cl)c(O)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1n[nH]c2ccccc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(O)cc1Cl; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(O)cc1F; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccnc(N)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(F)c2nc(C)[nH]c2c1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1ccc(-c2ccc(O)cc2O)cc1; [None]; [None]; [0]
+COc1cc(-c2cc3c(O)ccnc3cc2OC)ccc1O; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cn[nH]c1Cl; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)o1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1COc1cccc(Cl)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc(Br)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(O)c(F)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(O)cc1O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cnn2ncccc12; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccnc(N)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1COc1ccccc1Cl; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1[C@H](CO)c1ccccc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1CCc1ccc(Cl)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1c(C)ccc2[nH]ncc12; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(O)ccc1Cl; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(CO)ccc1C; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
+COc1ccc(-c2cc3c(O)ccnc3cc2OC)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cc4c(O)ccnc4cc3OC)ccc12; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2nc(C)[nH]c2c1; [None]; [None]; [0]
+CCOc1cccc(-c2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1nc2ccccc2s1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cncc(O)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2c(c1)CC(=O)N2; [None]; [None]; [0]
+CNc1nccc(-c2cc3c(O)ccnc3cc2OC)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1[nH]nc(C)c1C; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(O)cc1C; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(C(F)F)n[nH]1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccncc1Cl; [None]; [None]; [0]
+CCc1sccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(Cl)c(O)c(Cl)c1; [None]; [None]; [0]
+CNc1nc(-c2cc3c(O)ccnc3cc2OC)ncc1F; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cc(O)n2nccc2n1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cc(C(=O)[O-])c(C)o1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2[nH]c(=O)[nH]c2c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(Br)cc1F; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(O)cc(Br)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(=O)NC2CC2)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(N)=O)c(C)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2nc(C)oc2c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(C)c(O)c(C)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(F)c(O)c(F)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2c(=O)[nH][nH]c2c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc(SC)c1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1ocnc1-c1ccc(F)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1c(-c2ccccc2)noc1C; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(N(C)C(C)=O)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1sc(C(C)(C)O)nc1C; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccnc1OC; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(OC)c(OC)c(OC)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-n1cnc2ccc(C)cc21; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cnc2cccnn12; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(C#N)ccc1O; [None]; [None]; [0]
+COc1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1ccc(CC(=O)N2CCN(C(C)=O)CC2)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1Nc1cc(C)ns1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1nccc2ccccc12; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1Nc1ncccn1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cnn(Cc2cccc(C#N)c2)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(OCCO)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(CNC(C)=O)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1Nc1ccncn1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(N(C)C)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1sc(C)nc1C; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cc(C(C)C)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cccc(N2CCCN(C(C)=O)CC2)c1; [None]; [None]; [0]
 CCCOc1ccc(-c2cc3c(O)ccnc3cc2OC)nc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc(C(=O)[O-])c1C; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(Br)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccn2nccc2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)c(C)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccccc1-n1cccn1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+COc1cc(OC)c(-c2cc3c(O)ccnc3cc2OC)cc1Cl; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1nc2ccc(C(C)C)cc2[nH]1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc(NC(C)=O)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc2c1OCO2; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1scc2c1OCCO2; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cnc2ccccc2c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1csc(N)n1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1OCC1(C)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(SC)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc2ccccc2s1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc4c(O)ccnc4cc3OC)cc2)CC1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(C)nc(N)n1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(F)cc1Cl; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2c(c1)CCC(=O)N2; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ncc(Br)cn1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
+COc1ccc(CNc2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1NC1CN(C(=O)C2CC2)C1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ncc2cccn2n1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(N2CCOCC2)c(OC)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc2ccccn2n1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
+COc1ccc2cccc(-c3cc4c(O)ccnc4cc3OC)c2c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
+COc1cc(F)c(-c2cc3c(O)ccnc3cc2OC)cc1OC; [None]; [None]; [0]
+COc1cc(-c2cc3c(O)ccnc3cc2OC)ccc1Cl; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cnn(CCO)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ncc(Cl)cn1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ncnc2c(C)csc12; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1Nc1nc(C)c(C)s1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1Nc1cc(C)n(C)n1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)nc1; [None]; [None]; [0]
+COc1cc(-c2cc3c(O)ccnc3cc2OC)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1Cc1ccc(C(N)=O)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1NC(=O)c1ccco1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1[C@@H]1CC[C@@H](OC)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cc3c(O)ccnc3cc2OC)CC1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cccc(C(=O)Nc2cn[nH]c2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc3c(O)ccnc3cc1OC)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cc4c(O)ccnc4cc3OC)cc2c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1NC(=O)c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
+CCn1cc(-c2cc3c(O)ccnc3cc2OC)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc2ccccc2o1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(Br)cn1C; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ncc2sccc2n1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cn(C)nc1C(C)C; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
+COc1ccc2nc(-c3cc4c(O)ccnc4cc3OC)[nH]c2c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cc2ccc(C(C)(C)O)cc2[nH]1; [None]; [None]; [0]
-COc1cc2nccc(O)c2cc1-c1ccc2c(c1)c(Cl)nn2C; [None]; [None]; [0]
+CCc1cccc(-c2cc3c(O)ccnc3cc2OC)n1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1ncn2c1CCCC2; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(C)c(OCCO)c(C)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2c(c1)c(Cl)nn2C; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(N(C)C)nc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc2c(C)n[nH]c2c1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cnn(C2CCN(C(C)=O)CC2)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(CCO)cc1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1NC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1ccc(-c2cnc(C)n2C)cc1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(N2CCOCC2)cc1C; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cc2c(O)ccnc2cc1OC; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)c(OC)c1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1-c1cc(C(C)(C)O)n(C)n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1ccc(C(=O)N(C)C)cn1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc3c(O)ccnc3cc2OC)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1Nc1ccc(F)cn1; [None]; [None]; [0]
 COc1cc2nccc(O)c2cc1Nc1cc(C)c(F)cn1; [None]; [None]; [0]
-Oc1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1Nc1ccccn1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cc3c(O)ccnc3cc2OC)c1; [None]; [None]; [0]
+COc1cc2nccc(O)c2cc1-c1cc(C(=O)NCCO)ccc1C; [None]; [None]; [0]
+Oc1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 c1cc(-c2cncc3cncn23)c2cccnc2c1; [None]; [None]; [0]
-CCc1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1cncc3cncn13)OCO2; [None]; [None]; [0]
 Oc1cc(-c2cncc3cncn23)ccc1Cl; [None]; [None]; [0]
 c1ccc2c(-c3cncc4cncn34)n[nH]c2c1; [None]; [None]; [0]
-Cn1c(-c2cncc3cncn23)nc2ccccc21; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 Clc1cccc(Cl)c1-c1cncc2cncn12; [None]; [None]; [0]
 Fc1ccc(Oc2cncc3cncn23)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cncc3cncn23)c(F)c1; [None]; [None]; [0]
 Oc1ccc(-c2cncc3cncn23)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cncc2cncn12; [None]; [None]; [0]
+Oc1ccc(-c2cncc3cncn23)c(F)c1; [None]; [None]; [0]
 Nc1nccc(-c2cncc3cncn23)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cncc2cncn12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cncc4cncn34)cc2[nH]1; [None]; [None]; [0]
 Clc1[nH]ncc1-c1cncc2cncn12; [None]; [None]; [0]
-COc1cc(-c2cncc3cncn23)ccc1O; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cncc2cncn12; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3cncc4cncn34)cc2)c(O)c1; [None]; [None]; [0]
+COc1cc(-c2cncc3cncn23)ccc1O; [None]; [None]; [0]
 O=C([O-])c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2cncc3cncn23)o1; [None]; [None]; [0]
 COc1cc(CCc2cncc3cncn23)ccc1O; [None]; [None]; [0]
-Clc1cccc(OCc2cncc3cncn23)c1; [None]; [None]; [0]
 Brc1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
+c1ccc2cc(-c3cncc4cncn34)ccc2c1; [None]; [None]; [0]
+Oc1ccc(-c2cncc3cncn23)cc1F; [None]; [None]; [0]
+Cn1cc(-c2cncc3cncn23)c2ccccc21; [None]; [None]; [0]
 Oc1ccc(-c2cncc3cncn23)c(O)c1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2cncc3cncn23)c1; [None]; [None]; [0]
 c1cnn2ncc(-c3cncc4cncn34)c2c1; [None]; [None]; [0]
+c1cc2c(-c3cncc4cncn34)c[nH]c2cn1; [None]; [None]; [0]
+Nc1cc(-c2cncc3cncn23)ccn1; [None]; [None]; [0]
 Clc1ccccc1OCc1cncc2cncn12; [None]; [None]; [0]
 Fc1ccc(-c2cncc3cncn23)cc1Cl; [None]; [None]; [0]
-OC[C@H](c1ccccc1)c1cncc2cncn12; [None]; [None]; [0]
-Clc1ccc(CCc2cncc3cncn23)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1cncc2cncn12; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2cncc3cncn23)cc1; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1-c1cncc2cncn12; [None]; [None]; [0]
 Oc1ccc(Cl)c(-c2cncc3cncn23)c1; [None]; [None]; [0]
 Cc1ccc(CO)cc1-c1cncc2cncn12; [None]; [None]; [0]
-Clc1ccc2c(c1-c1cncc3cncn13)OCO2; [None]; [None]; [0]
 Oc1ncc(-c2cncc3cncn23)cc1Cl; [None]; [None]; [0]
-COc1cc(OC)cc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 NC(=O)c1cc(-c2cncc3cncn23)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 COc1ccc(-c2cncc3cncn23)cc1OC; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3cncc4cncn34)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-c3cncc4cncn34)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
+COc1cc(CCc2cncc3cncn23)cc(OC)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 c1cc2cc(-c3cncc4cncn34)cnc2[nH]1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 c1ccc2sc(-c3cncc4cncn34)nc2c1; [None]; [None]; [0]
 Oc1cncc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 O=C1Cc2cc(-c3cncc4cncn34)ccc2N1; [None]; [None]; [0]
-CNc1nccc(-c2cncc3cncn23)n1; [None]; [None]; [0]
 C[C@H](CC(N)=O)c1cncc2cncn12; [None]; [None]; [0]
+CNc1nccc(-c2cncc3cncn23)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1cncc2cncn12; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1cncc2cncn12; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cncc4cncn34)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2cncc3cncn23)c1C; [None]; [None]; [0]
 Cc1cc(O)ccc1-c1cncc2cncn12; [None]; [None]; [0]
+FC(F)c1cc(-c2cncc3cncn23)[nH]n1; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1cncc2cncn12; [None]; [None]; [0]
+Clc1cnccc1-c1cncc2cncn12; [None]; [None]; [0]
 CCc1sccc1-c1cncc2cncn12; [None]; [None]; [0]
-c1cc2c(cc1-c1cncc3cncn13)CCN2; [None]; [None]; [0]
 Oc1c(Cl)cc(-c2cncc3cncn23)cc1Cl; [None]; [None]; [0]
-Cc1oc(-c2cncc3cncn23)cc1C(=O)[O-]; [None]; [None]; [0]
+CNc1nc(-c2cncc3cncn23)ncc1F; [None]; [None]; [0]
+c1cc2c(cc1-c1cncc3cncn13)CCN2; [None]; [None]; [0]
 Oc1cc(-c2cncc3cncn23)nc2ccnn12; [None]; [None]; [0]
+Cc1oc(-c2cncc3cncn23)cc1C(=O)[O-]; [None]; [None]; [0]
 O=c1[nH]c2ccc(-c3cncc4cncn34)cc2[nH]1; [None]; [None]; [0]
 Cn1ncc(N)c1-c1cncc2cncn12; [None]; [None]; [0]
 c1cc(Nc2cncc3cncn23)ccn1; [None]; [None]; [0]
 Fc1cc(Br)ccc1-c1cncc2cncn12; [None]; [None]; [0]
 Fc1ccc2n[nH]c(-c3cncc4cncn34)c2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2cncc3cncn23)c1C; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 CN(c1cccc2[nH]ncc12)c1cncc2cncn12; [None]; [None]; [0]
 Oc1cc(Br)cc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 O=C(NC1CC1)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 Cc1cc(-c2cncc3cncn23)ccc1C(N)=O; [None]; [None]; [0]
-Oc1c(F)cc(-c2cncc3cncn23)cc1F; [None]; [None]; [0]
 Cc1nc2ccc(-c3cncc4cncn34)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2cncc3cncn23)cc(C)c1O; [None]; [None]; [0]
+Oc1c(F)cc(-c2cncc3cncn23)cc1F; [None]; [None]; [0]
 O=c1[nH][nH]c2cc(-c3cncc4cncn34)ccc12; [None]; [None]; [0]
-Fc1ccc(-c2nc[nH]c2-c2cncc3cncn23)cc1; [None]; [None]; [0]
 CSc1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
-c1ccc(COc2cncc3cncn23)cc1; [None]; [None]; [0]
 c1ccc2c(CCc3cncc4cncn34)c[nH]c2c1; [None]; [None]; [0]
 c1ccc2c(COc3cncc4cncn34)cccc2c1; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2-c2cncc3cncn23)cc1; [None]; [None]; [0]
 Fc1ccc(Oc2cncc3cncn23)c(F)c1; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1cncc2cncn12; [None]; [None]; [0]
-Fc1ccccc1Oc1cncc2cncn12; [None]; [None]; [0]
-Fc1ccc(-c2cncc3cncn23)c(Cl)c1; [None]; [None]; [0]
 Clc1ccc(-c2[nH]ncc2-c2cncc3cncn23)cc1; [None]; [None]; [0]
 Fc1ccc(COc2cncc3cncn23)c(F)c1; [None]; [None]; [0]
 Fc1ccc(CCc2cncc3cncn23)c(F)c1; [None]; [None]; [0]
@@ -57884,26 +31171,26 @@ CCOc1ccccc1-c1cncc2cncn12; [None]; [None]; [0]
 COC(C)(C)CCc1cncc2cncn12; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cncc3cncn23)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1cncc2cncn12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cncc2cncn12; [None]; [None]; [0]
 Fc1cc(F)cc(Cc2cncc3cncn23)c1; [None]; [None]; [0]
 CP(C)(=O)c1ccccc1-c1cncc2cncn12; [None]; [None]; [0]
 c1ccc2c(-c3cncc4cncn34)ccnc2c1; [None]; [None]; [0]
+CCn1cc(-c2cncc3cncn23)cn1; [None]; [None]; [0]
 FC(F)(F)c1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 FC(F)(F)Oc1ccccc1-c1cncc2cncn12; [None]; [None]; [0]
-Brc1ccccc1-c1cncc2cncn12; [None]; [None]; [0]
 O=C([O-])c1ccccc1-c1cncc2cncn12; [None]; [None]; [0]
 NC(=O)c1ccccc1-c1cncc2cncn12; [None]; [None]; [0]
 c1ccc(Cn2cc(-c3cncc4cncn34)cn2)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cncc4cncn34)cc2c1=O; [None]; [None]; [0]
 c1ccc(-c2ncc(-c3cncc4cncn34)[nH]2)cc1; [None]; [None]; [0]
-N[C@@H](c1ccco1)c1cncc2cncn12; [None]; [None]; [0]
 OCCn1cc(-c2cncc3cncn23)cn1; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2cncc3cncn23)cs1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cncc3cncn23)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cncc2cncn12; [None]; [None]; [0]
 COc1cnc(-c2cncc3cncn23)nc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2cncc3cncn23)c1; [None]; [None]; [0]
 CC(C)C(=O)COc1cncc2cncn12; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cncc2cncn12; [None]; [None]; [0]
 Cc1ccc(-c2cncc3cncn23)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cncc2cncn12; [None]; [None]; [0]
 c1ccn2c(-c3cncc4cncn34)cnc2c1; [None]; [None]; [0]
 Cc1nc(C)c(-c2cncc3cncn23)s1; [None]; [None]; [0]
 CNc1nc(C)c(-c2cncc3cncn23)s1; [None]; [None]; [0]
@@ -57912,38 +31199,43 @@ c1cnn2c(-c3cncc4cncn34)cnc2c1; [None]; [None]; [0]
 c1cc(Cn2cncn2)cc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2cncc3cncn23)c1; [None]; [None]; [0]
 c1cncc(CNc2cncc3cncn23)c1; [None]; [None]; [0]
-COc1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 Cc1c(-c2cncc3cncn23)sc(=O)n1C; [None]; [None]; [0]
-c1ccc2cc(-c3cncc4cncn34)ccc2c1; [None]; [None]; [0]
 c1cncc(Nc2cncc3cncn23)c1; [None]; [None]; [0]
 c1ccc2c(c1)ncn2-c1cncc2cncn12; [None]; [None]; [0]
 c1nc(CCNc2cncc3cncn23)c[nH]1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cncc3cncn23)o1; [None]; [None]; [0]
 O=C(Nc1cncc2cncn12)c1cccs1; [None]; [None]; [0]
-c1ccc2c(-c3cncc4cncn34)cncc2c1; [None]; [None]; [0]
 O=C([O-])Cc1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1cncc2cncn12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cncc2cncn12; [None]; [None]; [0]
+c1ccc2c(-c3cncc4cncn34)cncc2c1; [None]; [None]; [0]
 c1ccc(CCNc2cncc3cncn23)cc1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cncc4cncn34)cc2)cn1; [None]; [None]; [0]
 Nc1[nH]nc2cc(-c3cncc4cncn34)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cncc4cncn34)cc2CS1(=O)=O; [None]; [None]; [0]
-CCCn1cnc(-c2cncc3cncn23)n1; [None]; [None]; [0]
 Cn1ncc2cc(-c3cncc4cncn34)ccc21; [None]; [None]; [0]
-Oc1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
+c1cc(-c2cncc3cncn23)ccc1-c1cn[nH]c1; [None]; [None]; [0]
+Clc1ccc(CNc2cncc3cncn23)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2cncc3cncn23)n1; [None]; [None]; [0]
 OCc1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 COc1cc(-c2cncc3cncn23)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)n1cc(-c2cncc3cncn23)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1cncc2cncn12; [None]; [None]; [0]
 CSc1nc(-c2cncc3cncn23)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1-c1cncc2cncn12; [None]; [None]; [0]
 c1[nH]nnc1CCc1cncc2cncn12; [None]; [None]; [0]
 c1ncc2c(-c3cncc4cncn34)csc2n1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cncc4cncn34)cc2c1; [None]; [None]; [0]
 N#CCCc1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
+Nc1nc(-c2cncc3cncn23)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1cncc2cncn12; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cncc4cncn34)cc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 Fc1ccc(-c2cncc3cncn23)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1cncc2cncn12; [None]; [None]; [0]
+c1ccc(Oc2cncc3cncn23)nc1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cncc2cncn12; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 O=C(Nc1cncc2cncn12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-Cn1cc(-c2cncc3cncn23)c2ccccc21; [None]; [None]; [0]
 CS(=O)(=O)C1CCN(c2cncc3cncn23)CC1; [None]; [None]; [0]
 CC(C)(COc1cncc2cncn12)S(C)(=O)=O; [None]; [None]; [0]
 COc1ccc(-c2cncc3cncn23)cc1Cl; [None]; [None]; [0]
@@ -57952,221 +31244,873 @@ c1ccn2ncc(-c3cncc4cncn34)c2c1; [None]; [None]; [0]
 CCCn1cc(-c2cncc3cncn23)cn1; [None]; [None]; [0]
 O=c1cc(-c2cncc3cncn23)cc[nH]1; [None]; [None]; [0]
 O=C1CCc2cccc(-c3cncc4cncn34)c21; [None]; [None]; [0]
-COc1cc(CCc2cncc3cncn23)cc(OC)c1; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cncc2cncn12; [None]; [None]; [0]
 C[C@@H](Oc1cncc2cncn12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 CCN(CC)c1cncc2cncn12; [None]; [None]; [0]
 O=c1[nH]ccc2oc(-c3cncc4cncn34)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cncc4cncn34)cc12; [None]; [None]; [0]
-c1ccc2c(-c3cncc4cncn34)c[nH]c2c1; [None]; [None]; [0]
 COc1ccncc1Nc1cncc2cncn12; [None]; [None]; [0]
 c1ccc(-c2ccncc2Nc2cncc3cncn23)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cncc3cncn23)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cncc2cncn12; [None]; [None]; [0]
 c1ccc2ncc(Nc3cncc4cncn34)cc2c1; [None]; [None]; [0]
-c1cc2c(-c3cncc4cncn34)c[nH]c2cn1; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cncc2cncn12; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cncc2cncn12; [None]; [None]; [0]
 CC1(c2cncc3cncn23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 CN(c1cncc2cncn12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
 c1cc(N2CCOCC2)ccc1-c1cncc2cncn12; [None]; [None]; [0]
 Cc1cc(-c2cncc3cncn23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cncc2cncn12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 OCc1ccn(-c2cncc3cncn23)n1; [None]; [None]; [0]
 OCCc1cn(-c2cncc3cncn23)cn1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cncc2cncn12; [None]; [None]; [0]
-C[C@@H](Nc1cncc2cncn12)C(C)(C)O; [None]; [None]; [0]
 C[C@H](Nc1cncc2cncn12)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cncc2cncn12)C(C)(C)O; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cncc2cncn12; [None]; [None]; [0]
 c1ccc2c(c1)cnn2-c1cncc2cncn12; [None]; [None]; [0]
 Oc1cccc2c1cnn2-c1cncc2cncn12; [None]; [None]; [0]
-Oc1ncccc1-c1cncc2cncn12; [None]; [None]; [0]
 c1ncn(-c2ccc(-c3cncc4cncn34)cc2)n1; [None]; [None]; [0]
 Oc1ccc2nc(-c3cncc4cncn34)[nH]c2c1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cncc3cncn23)[nH]1; [None]; [None]; [0]
 COc1ccc(-c2cncc3cncn23)c(OC)c1; [None]; [None]; [0]
 O=C(c1ccccc1)c1ccc(-c2cncc3cncn23)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cncc3cncn23)CC1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cncc2cncn12; [None]; [None]; [0]
 c1ncc2cncn2c1-c1nncn1C1CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cncc3cncn23)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4cncc5cncn45)n3n2)cc1; [None]; [None]; [0]
 O=C(CCc1cncc2cncn12)NCc1ccccn1; [None]; [None]; [0]
-c1ccc(Cn2cc(-c3cncc4cncn34)nn2)cc1; [None]; [None]; [0]
 O=S(=O)(Cc1cncc2cncn12)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cncc4cncn34)nn2)cc1; [None]; [None]; [0]
 CCc1cc(-c2cncc3cncn23)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cncc3cncn23)s1; [None]; [None]; [0]
 CCCCc1cc(-c2cncc3cncn23)nc(N)n1; [None]; [None]; [0]
 Nc1nnc(-c2cncc3cncn23)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cncc2cncn12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cncc3cncn23)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cncc3cncn23)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cncc3cncn23)c(F)c1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cncc2cncn12; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cncc3cncn23)CC1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cncc4cncn34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cncc4cncn34)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cncc3cncn23)n1; [None]; [None]; [0]
 c1cc(-c2cncc3cncn23)c2sccc2c1; [None]; [None]; [0]
 c1cc(-c2cncc3cncn23)c2snnc2c1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cncc3cncn23)[nH]1; [None]; [None]; [0]
 Nc1nc(-c2cncc3cncn23)nc2ccccc12; [None]; [None]; [0]
 c1ccc2nc(-c3cncc4cncn34)ncc2c1; [None]; [None]; [0]
 c1cnc2c(-c3cncc4cncn34)c[nH]c2c1; [None]; [None]; [0]
+OCCn1cnc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 c1cc2cnc(-c3cncc4cncn34)nc2[nH]1; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1cncc2cncn12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cncc2cncn12; [None]; [None]; [0]
 COc1ccc(Oc2cncc3cncn23)c(F)c1F; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2cncc3cncn23)CC1; [None]; [None]; [0]
 COc1ccc(OC)c(-c2cncc3cncn23)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cncc3cncn23)n1; [None]; [None]; [0]
+COc1ncccc1-c1cncc2cncn12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cncc3cncn23)c1; [None]; [None]; [0]
 CN(C)c1cc(-c2cncc3cncn23)cnn1; [None]; [None]; [0]
 c1ccc2[nH]c(C3CCN(c4cncc5cncn45)CC3)nc2c1; [None]; [None]; [0]
 C1=C(c2c[nH]c3ccccc23)CCN(c2cncc3cncn23)C1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cncc3cncn23)c1)C1CCNCC1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+CCOc1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+COC(C)(C)CCc1cnc2[nH]cccc1-2; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cnc3[nH]cccc2-3)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3ccnc4ccccc34)c-2c1; [None]; [None]; [0]
+CCn1cc(-c2cnc3[nH]cccc2-3)cn1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cnc4[nH]cccc3-4)cn2)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cnc4[nH]cccc3-4)cc2c1=O; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3cnc4[nH]cccc3-4)[nH]2)cc1; [None]; [None]; [0]
+OCCn1cc(-c2cnc3[nH]cccc2-3)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cnc3[nH]cccc2-3)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cnc3[nH]cccc2-3)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+COc1cnc(-c2cnc3[nH]cccc2-3)nc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1cnc2[nH]cccc1-2; [None]; [None]; [0]
+Cc1ccc(-c2cnc3[nH]cccc2-3)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3cnc4ccccn34)c-2c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cnc3[nH]cccc2-3)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cnc3[nH]cccc2-3)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3cnc4cccnn34)c-2c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1cc(Cn2cncn2)cc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+Brc1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+c1cncc(CNc2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
 Cc1c(-c2cnc3[nH]cccc2-3)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
 c1c[nH]c2ncc(-c3cnn4ncccc34)c-2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cnc3[nH]cccc2-3)o1; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3ccc4ccccc4c3)c-2c1; [None]; [None]; [0]
+c1cncc(Nc2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+c1c[nH]c2ncc(-n3cnc4ccccc43)c-2c1; [None]; [None]; [0]
+c1c[nH]c2ncc(NCCc3c[nH]cn3)c-2c1; [None]; [None]; [0]
+O=C(Nc1cnc2[nH]cccc1-2)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3cncc4ccccc34)c-2c1; [None]; [None]; [0]
+c1ccc(CCNc2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cnc4[nH]cccc3-4)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cnc4[nH]cccc3-4)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cnc4[nH]cccc3-4)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cnc4[nH]cccc3-4)ccc21; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3ccc(-c4cn[nH]c4)cc3)c-2c1; [None]; [None]; [0]
+Clc1ccc(CNc2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
+Oc1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+OCc1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
 COc1cc(-c2cnc3[nH]cccc2-3)ccc1C(=O)[O-]; [None]; [None]; [0]
+c1c[nH]c2ncc(Nc3ccncc3)c-2c1; [None]; [None]; [0]
 CC(C)n1cc(-c2cnc3[nH]cccc2-3)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1cnc2[nH]cccc1-2; [None]; [None]; [0]
+CSc1nc(-c2cnc3[nH]cccc2-3)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
 c1c[nH]c2ncc(CCc3c[nH]nn3)c-2c1; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3csc4ncncc34)c-2c1; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3cc4ccccc4[nH]3)c-2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+Nc1nc(-c2cnc3[nH]cccc2-3)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cnc4[nH]cccc3-4)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+Fc1ccc(-c2cnc3[nH]cccc2-3)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1ccc(Oc2cnc3[nH]cccc2-3)nc1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cnc2[nH]cccc1-2; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
 O=C(Nc1cnc2[nH]cccc1-2)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2cnc3[nH]cccc2-3)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cnc3[nH]cccc2-3)CC1; [None]; [None]; [0]
 CC(C)(COc1cnc2[nH]cccc1-2)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cnc3[nH]cccc2-3)cc1Cl; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3cnn4ccccc34)c-2c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2cnc3[nH]cccc2-3)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2cnc3[nH]cccc2-3)cn1; [None]; [None]; [0]
+O=c1cc(-c2cnc3[nH]cccc2-3)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cnc4[nH]cccc3-4)c21; [None]; [None]; [0]
+COc1cc(CCc2cnc3[nH]cccc2-3)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
 C[C@@H](Oc1cnc2[nH]cccc1-2)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+CCN(CC)c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cnc4[nH]cccc3-4)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cnc4[nH]cccc3-4)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1cnc2[nH]cccc1-2; [None]; [None]; [0]
 c1ccc(-c2ccncc2Nc2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1c[nH]c2ncc(Nc3cnc4ccccc4c3)c-2c1; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3c[nH]c4cnccc34)c-2c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3cnc4[nH]ccc4c3)c-2c1; [None]; [None]; [0]
+CC1(c2cnc3[nH]cccc2-3)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cnc2[nH]cccc1-2)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3ccc(N4CCOCC4)cc3)c-2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+Cc1cc(-c2cnc3[nH]cccc2-3)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cnc2[nH]cccc1-2)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
+OCCc1cn(-c2cnc3[nH]cccc2-3)cn1; [None]; [None]; [0]
+C[C@H](Nc1cnc2[nH]cccc1-2)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cnc2[nH]cccc1-2)C(C)(C)O; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1c[nH]c2ncc(-n3ncc4ccccc43)c-2c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3ccc(-n4cncn4)cc3)c-2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cnc4[nH]cccc3-4)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cnc3[nH]cccc2-3)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cnc3[nH]cccc2-3)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cnc3[nH]cccc2-3)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc3[nH]cccc2-3)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3nncn3C3CC3)c-2c1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4cnc5[nH]cccc4-5)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1cnc2[nH]cccc1-2)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1cnc2[nH]cccc1-2)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cnc4[nH]cccc3-4)nn2)cc1; [None]; [None]; [0]
+CCc1cc(-c2cnc3[nH]cccc2-3)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cnc3[nH]cccc2-3)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cnc3[nH]cccc2-3)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc3[nH]cccc2-3)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cnc3[nH]cccc2-3)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cnc3[nH]cccc2-3)CC1; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3nc4ccccc4s3)c-2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cnc4[nH]cccc3-4)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc4[nH]cccc3-4)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3cccc4ccsc34)c-2c1; [None]; [None]; [0]
 c1c[nH]c2ncc(-c3cccc4nnsc34)c-2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cnc3[nH]cccc2-3)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cnc3[nH]cccc2-3)nc2ccccc12; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3ncc4ccccc4n3)c-2c1; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3c[nH]c4cccnc34)c-2c1; [None]; [None]; [0]
+OCCn1cnc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+c1c[nH]c2ncc(-c3ncc4cc[nH]c4n3)c-2c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
 COc1ccc(Oc2cnc3[nH]cccc2-3)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnc3[nH]cccc2-3)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cnc3[nH]cccc2-3)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+COc1ncccc1-c1cnc2[nH]cccc1-2; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cnc3[nH]cccc2-3)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cnc3[nH]cccc2-3)cnn1; [None]; [None]; [0]
+c1c[nH]c2ncc(N3CCC(c4nc5ccccc5[nH]4)CC3)c-2c1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2cnc3[nH]cccc2-3)C1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cnc3[nH]cccc2-3)c1)C1CCNCC1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
+CCOc1ccccc1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
+COC(C)(C)CCc1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
+Cc1cc2c(-c3ccccc3-c3nnc(C)[nH]3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccccc3S(=O)(=O)C(C)C)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(Cc3cc(F)cc(F)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccccc3P(C)(C)=O)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccnc4ccccc34)ccnc2[nH]1; [None]; [None]; [0]
+CCn1cc(-c2ccnc3[nH]c(C)cc23)cn1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(C(F)(F)F)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccccc3OC(F)(F)F)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccccc3C(=O)[O-])ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccccc3C(N)=O)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cnn(Cc4ccccc4)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc4ncn(C)c(=O)c4c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cnc(-c4ccccc4)[nH]3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cnn(CCO)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3csc(C(C)(C)C)n3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(NC(=O)c4ccccc4)c3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-n3ncc4cccc(F)c4c3=O)ccnc2[nH]1; [None]; [None]; [0]
+COc1cnc(-c2ccnc3[nH]c(C)cc23)nc1; [None]; [None]; [0]
+Cc1cc2c(-c3cc(Cl)ccc3Cl)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(OCC(=O)C(C)C)ccnc2[nH]1; [None]; [None]; [0]
+Cc1ccc(-c2ccnc3[nH]c(C)cc23)c(Br)c1; [None]; [None]; [0]
+Cc1cc2c(-c3c(C)nc4ccccn34)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cnc4ccccn34)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3sc(C)nc3C)ccnc2[nH]1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccnc3[nH]c(C)cc23)s1; [None]; [None]; [0]
+Cc1cc2c(-c3sc(N)nc3C)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cnc4cccnn34)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3c(Cl)cccc3Cl)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(Cn4cncn4)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(Br)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccnc3[nH]c(C)cc23)c1; [None]; [None]; [0]
+Cc1cc2c(NCc3cccnc3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-c3sc(=O)n(C)c3C)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccnc(N)n3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-c3cnn4ncccc34)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(Cc3ncc(C(C)(C)C)o3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc4ccccc4c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(Nc3cccnc3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-n3cnc4ccccc43)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(NCCc3c[nH]cn3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(NC(=O)c3cccs3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(CC(=O)[O-])c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3c[nH]nc3C(F)(F)F)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(F)c3C(N)=O)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cncc4ccccc34)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(NCCc3ccccc3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc(-c4cnn(C)c4)cc3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc4c(N)[nH]nc4c3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-c3ccc4c(c3)CS(=O)(=O)N4C)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc4c(cnn4C)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc(-c4cn[nH]c4)cc3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(NCc3ccc(Cl)cc3)ccnc2[nH]1; [None]; [None]; [0]
+CCCn1cnc(-c2ccnc3[nH]c(C)cc23)n1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(O)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(CO)c3)ccnc2[nH]1; [None]; [None]; [0]
 COc1cc(-c2ccnc3[nH]c(C)cc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Cc1cc2c(Nc3ccncc3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-c3cn(C(C)C)nn3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(NCc3ccccc3F)ccnc2[nH]1; [None]; [None]; [0]
+CSc1nc(-c2ccnc3[nH]c(C)cc23)c[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cnoc3C(C)C)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(CCc3c[nH]nn3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3csc4ncncc34)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cc4ccccc4[nH]3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(CCC#N)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3csc(N)n3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cncnc3N)ccnc2[nH]1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccnc4[nH]c(C)cc34)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccnc3[nH]c(C)cc23)cc1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc(F)cc3C(F)(F)F)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(CCCC(N)=O)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(Oc3ccccn3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(CCNC(=O)CC(C)(C)O)ccnc2[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccnc3[nH]c(C)cc23)c1; [None]; [None]; [0]
 Cc1cc2c(NC(=O)c3c(Cl)cccc3Cl)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cn(C)c4ccccc34)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(N3CCC(S(C)(=O)=O)CC3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(OCC(C)(C)S(C)(=O)=O)ccnc2[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ccnc3[nH]c(C)cc23)cc1Cl; [None]; [None]; [0]
+Cc1cc2c(-c3cnn4ccccc34)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-c3ccc(C[NH3+])c(C(F)(F)F)c3)ccnc2[nH]1; [None]; [None]; [0]
+CCCn1cc(-c2ccnc3[nH]c(C)cc23)cn1; [None]; [None]; [0]
+Cc1cc2c(-c3cc[nH]c(=O)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc4c3C(=O)CC4)ccnc2[nH]1; [None]; [None]; [0]
+COc1cc(CCc2ccnc3[nH]c(C)cc23)cc(OC)c1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc(C(C)(C)N)cc3)ccnc2[nH]1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
 Cc1cc2c(O[C@H](C)c3c(Cl)cncc3Cl)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc([S@](C)=O)cc3)ccnc2[nH]1; [None]; [None]; [0]
+CCN(CC)c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
+Cc1cc2c(-c3cc4c(=O)[nH]ccc4o3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-c3cc4c(=O)[nH]cc(Br)c4s3)ccnc2[nH]1; [None]; [None]; [0]
+COc1ccncc1Nc1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
 Cc1cc2c(Nc3cnccc3-c3ccccc3)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(N[C@@H](C)C(=O)NCC(F)(F)F)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cncc(OC(C)C)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc(C(C)(C)C)cc3)ccnc2[nH]1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
+Cc1cc2c(Nc3cnc4ccccc4c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3c[nH]c4cnccc34)ccnc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
+Cc1cc2c(-c3cnc4[nH]ccc4c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(C3(C)CCN(S(C)(=O)=O)CC3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)ccnc2[nH]1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccnc3[nH]c(C)cc23)cc1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc(N4CCOCC4)cc3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc(S(C)(=O)=O)cc3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc(-c2ccnc3[nH]c(C)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Cc1cc2c(N[C@@H](C)C(=O)NCC(F)(F)F)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-n3ccc(CO)n3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-n3cnc(CCO)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(N[C@@H](C)C(C)(C)O)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(N[C@H](C)C(C)(C)O)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3c(F)cccc3Cl)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-n3ncc4ccccc43)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-n3ncc4c(O)cccc43)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc(-n4cncn4)cc3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3nc4ccc(O)cc4[nH]3)ccnc2[nH]1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccnc3[nH]c(C)cc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ccnc3[nH]c(C)cc23)c(OC)c1; [None]; [None]; [0]
+Cc1cc2c(-c3ccc(C(=O)c4ccccc4)cc3)ccnc2[nH]1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccnc3[nH]c(C)cc23)CC1; [None]; [None]; [0]
+Cc1cc2c(-c3nncn3C(C)C)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3nncn3C3CC3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-c3ccn(CC[NH3+])n3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(Cc3nnc4ccc(-c5ccccc5)nn34)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(CCC(=O)NCc3ccccn3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(CS(=O)(=O)NCc3ccccn3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cn(Cc4ccccc4)nn3)ccnc2[nH]1; [None]; [None]; [0]
+CCc1cc(-c2ccnc3[nH]c(C)cc23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccnc3[nH]c(C)cc23)nc(N)n1; [None]; [None]; [0]
+Cc1cc2c(-c3nnc(N)s3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-c3cc(C(N)=O)cn3C)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(C(C)(C)O)n3)ccnc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccnc3[nH]c(C)cc23)s1; [None]; [None]; [0]
 Cc1cc2c(Oc3ccc(C[NH3+])cc3F)ccnc2[nH]1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccnc3[nH]c(C)cc23)CC1; [None]; [None]; [0]
+Cc1cc2c(-c3nc4ccccc4s3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-c3ccc4c(n3)NC(=O)C(C)(C)O4)ccnc2[nH]1; [None]; [None]; [0]
-Cc1cc2c(-c3cccc4nnsc34)ccnc2[nH]1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccnc4[nH]c(C)cc34)c2)cc1; [None]; [None]; [0]
+Cc1cc2c(-c3cncc(N)n3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc4ccsc34)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cccc4nnsc34)ccnc2[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccnc3[nH]c(C)cc23)[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3nc(N)c4ccccc4n3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ncc4ccccc4n3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3c[nH]c4cccnc34)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cn(CCO)cn3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3ncc4cc[nH]c4n3)ccnc2[nH]1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
 COc1ccc(Oc2ccnc3[nH]c(C)cc23)c(F)c1F; [None]; [None]; [0]
-Cc1cc2c(-c3cccc(C(C)(C)O)n3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c([C@H]3CC[C@@](C)(O)CC3)ccnc2[nH]1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccnc3[nH]c(C)cc23)c1; [None]; [None]; [0]
+COc1ncccc1-c1ccnc2[nH]c(C)cc12; [None]; [None]; [0]
+Cc1cc2c(-c3cccc(S(=O)(=O)N(C)C)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(-c3cnnc(N(C)C)c3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)ccnc2[nH]1; [None]; [None]; [0]
+Cc1cc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)ccnc2[nH]1; [None]; [None]; [0]
 Cc1cc2c(-c3cccc(NC(=O)C4CCNCC4)c3)ccnc2[nH]1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+CCOc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(Nc1ncc2ccccc2n1)c1ccoc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1NC(=O)c1ccoc1; [None]; [None]; [0]
+COc1ncccc1NC(=O)c1ccoc1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(NC(=O)c2ccoc2)c1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccoc2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(NC(=O)c3ccoc3)c2c1; [None]; [None]; [0]
+O=C(Nc1cnc2cccnn12)c1ccoc1; [None]; [None]; [0]
+N#Cc1ccc(O)c(NC(=O)c2ccoc2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(O)c1)c1ccoc1; [None]; [None]; [0]
+COc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(N2CCOCC2)cc1)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1cccc(NC(=O)C2CC2)c1)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1nc2ccccc2[nH]1)c1ccoc1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(NC(=O)c3ccoc3)cc2)CC1; [None]; [None]; [0]
+O=C([O-])c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(Nc1nccc2ccccc12)c1ccoc1; [None]; [None]; [0]
+NC(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(NNc1ncccn1)c1ccoc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(NC(=O)c3ccoc3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(OCCO)cc1)c1ccoc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(C2CCNCC2)c1)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1ccc(C(=O)N2CCOCC2)cc1)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1ccc(C(=O)N2CCOCC2)cn1)c1ccoc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
 O=C(Nc1ccc2c(c1)CS(=O)(=O)C2)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1ccc(C(F)(F)F)cc1)c1ccoc1; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(NCc1ccccc1O)c1ccoc1; [None]; [None]; [0]
+Cc1nc(C)c(NC(=O)c2ccoc2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(NC(=O)c2ccoc2)CC1; [None]; [None]; [0]
+Nc1ncc(CNC(=O)c2ccoc2)cn1; [None]; [None]; [0]
+O=C(N[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccoc1; [None]; [None]; [0]
 CC(C)c1cc(NC(=O)c2ccoc2)nc(N)n1; [None]; [None]; [0]
-CCCOc1ccc(NC(=O)c2ccoc2)nc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(NC(=O)c3ccoc3)c2)CC1; [None]; [None]; [0]
+CCCOc1ccc(NC(=O)c2ccoc2)nc1; [None]; [None]; [0]
+Cc1c(NC(=O)c2ccoc2)cccc1C(=O)[O-]; [None]; [None]; [0]
+O=C(Nc1ccc(Br)cc1)c1ccoc1; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccoc2)cc1Cl; [None]; [None]; [0]
+COc1ccc(CNC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccn2nccc2n1)c1ccoc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)c2ccoc2)c(C)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1-n1cccn1)c1ccoc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1NC(=O)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1c[nH]c2ccccc12)c1ccoc1; [None]; [None]; [0]
+COc1cc(OC)c(NC(=O)c2ccoc2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(NC(=O)c3ccoc3)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1ccc2c(c1)CCO2)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1cc(-c2ccccc2)[nH]n1)c1ccoc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(NC(=O)c2ccoc2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1NC(=O)c1ccoc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccoc2)ccc1O; [None]; [None]; [0]
+O=C(Nc1cccc2c1OCO2)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1scc2c1OCCO2)c1ccoc1; [None]; [None]; [0]
+O=C(NCc1nc2ccc(F)c(F)c2[nH]1)c1ccoc1; [None]; [None]; [0]
+O=C(NCc1nc2c(F)c(F)ccc2[nH]1)c1ccoc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(Nc1cnc2ccccc2c1)c1ccoc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(NC(=O)c2ccoc2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccoc2)CC1; [None]; [None]; [0]
+O=C(NCc1nc2ccccc2[nH]1)c1ccoc1; [None]; [None]; [0]
+Nc1nc(NC(=O)c2ccoc2)cs1; [None]; [None]; [0]
+Cc1ccc(NC(=O)c2ccoc2)c(=O)[nH]1; [None]; [None]; [0]
+O=C(NCCCc1ccccc1)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1ccn(-c2cccc(Cl)c2)n1)c1ccoc1; [None]; [None]; [0]
+COc1cccc(C(=O)NNC(=O)c2ccoc2)c1; [None]; [None]; [0]
+CSc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(Nc1cc2ccccc2s1)c1ccoc1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(NC(=O)c3ccoc3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(NC(=O)c2ccoc2)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)NC(=O)c1ccoc1; [None]; [None]; [0]
+O=C(N[C@H](CO)Cc1ccccc1)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1ccc(F)cc1Cl)c1ccoc1; [None]; [None]; [0]
+O=C1CCc2cc(NC(=O)c3ccoc3)ccc2N1; [None]; [None]; [0]
+O=C(Nc1ncc(Br)cn1)c1ccoc1; [None]; [None]; [0]
+COc1ccc(NC(=O)c2ccoc2)cc1OC; [None]; [None]; [0]
+CCc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(Cl)cc1Cl)c1ccoc1; [None]; [None]; [0]
+O=C(NCCCn1cncn1)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1ncc2cccn2n1)c1ccoc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccoc2)ccc1N1CCOCC1; [None]; [None]; [0]
+O=C(Nc1cc2ccccn2n1)c1ccoc1; [None]; [None]; [0]
+Cn1cc(NC(=O)c2ccoc2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(NC(=O)c3ccoc3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(NC(=O)c3ccoc3)c2c1; [None]; [None]; [0]
+O=C(Nc1cccc2ccc(O)cc12)c1ccoc1; [None]; [None]; [0]
+COc1cc(F)c(NC(=O)c2ccoc2)cc1OC; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccoc2)ccc1Cl; [None]; [None]; [0]
+O=C(Nc1cnn(CCO)c1)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1ncc(Cl)cn1)c1ccoc1; [None]; [None]; [0]
+Cc1csc2c(NC(=O)c3ccoc3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
 Nc1cc(NC(=O)c2ccoc2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(NC(=O)c2ccoc2)nc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccoc2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(CNC(=O)c2ccoc2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1NC(=O)c1ccoc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](NC(=O)c2ccoc2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(NC(=O)c2ccoc2)CC1; [None]; [None]; [0]
 O=C(Nc1cccc(C(=O)Nc2cn[nH]c2)c1)c1ccoc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccoc2)cc(OC)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(NC(=O)c1ccoc1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(NC(=O)c3ccoc3)cc2c1; [None]; [None]; [0]
+O=C(Nc1ccc2cn[nH]c2c1)c1ccoc1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+CCn1cc(NC(=O)c2ccoc2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(NC(=O)c2ccoc2)c1; [None]; [None]; [0]
+O=C(Nc1cc(-c2cccnc2)ccn1)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1cc2ccccc2o1)c1ccoc1; [None]; [None]; [0]
+Cn1cc(Br)cc1NC(=O)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1ncc2sccc2n1)c1ccoc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1NC(=O)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1cccc(NC(=O)N2CCCC2)c1)c1ccoc1; [None]; [None]; [0]
+COc1ccc2nc(NC(=O)c3ccoc3)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1ccc(OC(F)(F)F)cc1)c1ccoc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NNC(=O)c2ccoc2)c1; [None]; [None]; [0]
+Cn1cc(NC(=O)c2ccoc2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(NC(=O)c3ccoc3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(NC(=O)c2ccoc2)n1; [None]; [None]; [0]
 O=C(Nc1ncn2c1CCCC2)c1ccoc1; [None]; [None]; [0]
+Cc1cc(NC(=O)c2ccoc2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(NC(=O)c3ccoc3)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(NC(=O)c3ccoc3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccoc2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(NC(=O)c3ccoc3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(NC(=O)c3ccoc3)cn2)CC1; [None]; [None]; [0]
+O=C(Nc1cccc(N2CCCC2=O)c1)c1ccoc1; [None]; [None]; [0]
+O=C(Nc1ccc(CCO)cc1)c1ccoc1; [None]; [None]; [0]
 O=C(NNC(=O)c1cccc(OC(F)(F)F)c1)c1ccoc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(NC(=O)c2ccoc2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(NC(=O)c3ccoc3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1NC(=O)c1ccoc1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1NC(=O)c1ccoc1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1NC(=O)c1ccoc1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1NC(=O)c1ccoc1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2ccoc2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(NC(=O)c2ccoc2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(NC(=O)c2ccoc2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(NC(=O)c2ccoc2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(NC(=O)c2ccoc2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)NC(=O)c1ccoc1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(NC(=O)c2ccoc2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1NC(=O)c1ccoc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+COc1ncccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+COc1cc(-c2nc(C(N)=O)cs2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3nc(C(N)=O)cs3)c2c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(O)c2)n1; [None]; [None]; [0]
+COc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(NC(=O)C3CC3)c2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc(C(N)=O)cs3)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(C(=O)[O-])cc2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2nccc3ccccc23)n1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(Nc2ncccn2)n1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3nc(C(N)=O)cs3)cn2)c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(C(=O)Nc3ccccc3)cc2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(OCCO)cc2)n1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(C3CCNCC3)c2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(C(=O)N3CCOCC3)cc2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(C(=O)N3CCOCC3)cn2)n1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
 NC(=O)c1csc(-c2ccc3c(c2)CS(=O)(=O)C3)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(C(F)(F)F)cc2)n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(Cc2ccccc2O)n1; [None]; [None]; [0]
+Cc1nc(C)c(-c2nc(C(N)=O)cs2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
+NC(=O)c1csc(Cc2cnc(N)nc2)n1; [None]; [None]; [0]
+NC(=O)c1csc([C@H]2CCN(C(=O)c3ccccc3)C2)n1; [None]; [None]; [0]
 CC(C)c1cc(-c2nc(C(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3nc(C(N)=O)cs3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2nc(C(N)=O)cs2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(Br)cc2)n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc(C(N)=O)cs2)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cc2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccn3nccc3n2)n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)c(C)c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccccc2-n2cccn2)n1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
+COc1cc(OC)c(-c2nc(C(N)=O)cs2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3nc(C(N)=O)cs3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc3c(c2)CCO3)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cc(-c3ccccc3)[nH]n2)n1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+COc1cc(-c2nc(C(N)=O)cs2)ccc1O; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc3c2OCO3)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
+NC(=O)c1csc(Cc2nc3ccc(F)c(F)c3[nH]2)n1; [None]; [None]; [0]
+NC(=O)c1csc(Cc2nc3c(F)c(F)ccc3[nH]2)n1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cnc3ccccc3c2)n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nc(C(N)=O)cs2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
+NC(=O)c1csc(Cc2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2csc(N)n2)n1; [None]; [None]; [0]
+Cc1ccc(-c2nc(C(N)=O)cs2)c(=O)[nH]1; [None]; [None]; [0]
+NC(=O)c1csc(CCCc2ccccc2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccn(-c3cccc(Cl)c3)n2)n1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+CSc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cc3ccccc3s2)n1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3nc(C(N)=O)cs3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2nc(C(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc([C@H](CO)Cc2ccccc2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(F)cc2Cl)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc3c(c2)CCC(=O)N3)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ncc(Br)cn2)n1; [None]; [None]; [0]
+COc1ccc(-c2nc(C(N)=O)cs2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(Cl)cc2Cl)n1; [None]; [None]; [0]
+NC(=O)c1csc(CCCn2cncn2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ncc3cccn3n2)n1; [None]; [None]; [0]
+COc1cc(-c2nc(C(N)=O)cs2)ccc1N1CCOCC1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cc3ccccn3n2)n1; [None]; [None]; [0]
+Cn1cc(-c2nc(C(N)=O)cs2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3nc(C(N)=O)cs3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3nc(C(N)=O)cs3)c2c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc3ccc(O)cc23)n1; [None]; [None]; [0]
+COc1cc(F)c(-c2nc(C(N)=O)cs2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2nc(C(N)=O)cs2)ccc1Cl; [None]; [None]; [0]
+NC(=O)c1csc(-c2cnn(CCO)c2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ncc(Cl)cn2)n1; [None]; [None]; [0]
+Cc1csc2c(-c3nc(C(N)=O)cs3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
 NC(=O)c1csc(-c2cc(N)nc3[nH]ccc23)n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc(C(N)=O)cs2)nc1; [None]; [None]; [0]
+COc1cc(-c2nc(C(N)=O)cs2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
 NC(=O)c1csc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)n1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1nc(C(N)=O)cs1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3nc(C(N)=O)cs3)cc2c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc3cn[nH]c3c2)n1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CCn1cc(-c2nc(C(N)=O)cs2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cc(-c3cccnc3)ccn2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cc3ccccc3o2)n1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(NC(=O)N3CCCC3)c2)n1; [None]; [None]; [0]
+COc1ccc2nc(-c3nc(C(N)=O)cs3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(OC(F)(F)F)cc2)n1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+Cn1cc(-c2nc(C(N)=O)cs2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3nc(C(N)=O)cs3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2nc(C(N)=O)cs2)n1; [None]; [None]; [0]
 NC(=O)c1csc(-c2ncn3c2CCCC3)n1; [None]; [None]; [0]
+Cc1cc(-c2nc(C(N)=O)cs2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3nc(C(N)=O)cs3)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3nc(C(N)=O)cs3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc(C(N)=O)cs2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3nc(C(N)=O)cs3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3nc(C(N)=O)cs3)cn2)CC1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(N3CCCC3=O)c2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(CCO)cc2)n1; [None]; [None]; [0]
 NC(=O)c1csc(NC(=O)c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc(C(N)=O)cs2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3nc(C(N)=O)cs3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc(C(N)=O)cs2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2nc(C(N)=O)cs2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc(C(N)=O)cs2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1nc(C(N)=O)cs1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+CCOc1ccccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+COC(C)(C)CCc1nc(C(N)=O)cs1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2nc(C(N)=O)cs2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(Cc2cc(F)cc(F)c2)n1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccnc3ccccc23)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccccc2OC(F)(F)F)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccccc2C(=O)[O-])n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccccc2C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cnn(Cc3ccccc3)c2)n1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3nc(C(N)=O)cs3)cc2c1=O; [None]; [None]; [0]
+NC(=O)c1csc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2nc(C(N)=O)cs2)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(NC(=O)c3ccccc3)c2)n1; [None]; [None]; [0]
 NC(=O)c1csc(-n2ncc3cccc(F)c3c2=O)n1; [None]; [None]; [0]
+COc1cnc(-c2nc(C(N)=O)cs2)nc1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cc(Cl)ccc2Cl)n1; [None]; [None]; [0]
+CC(C)C(=O)COc1nc(C(N)=O)cs1; [None]; [None]; [0]
+Cc1ccc(-c2nc(C(N)=O)cs2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
+CNc1nc(C)c(-c2nc(C(N)=O)cs2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(Br)c2)n1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+NC(=O)c1csc(NCc2cccnc2)n1; [None]; [None]; [0]
 Cc1c(-c2nc(C(N)=O)cs2)sc(=O)n1C; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
 NC(=O)c1csc(-c2cnn3ncccc23)n1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2nc(C(N)=O)cs2)o1; [None]; [None]; [0]
-COc1cc(-c2nc(C(N)=O)cs2)ccc1C(=O)[O-]; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
+NC(=O)c1csc(Nc2cccnc2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-n2cnc3ccccc32)n1; [None]; [None]; [0]
+NC(=O)c1csc(NCCc2c[nH]cn2)n1; [None]; [None]; [0]
+NC(=O)c1csc(NC(=O)c2cccs2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2c[nH]nc2C(F)(F)F)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(F)c2C(N)=O)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cncc3ccccc23)n1; [None]; [None]; [0]
+NC(=O)c1csc(NCCc2ccccc2)n1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3nc(C(N)=O)cs3)cc2)cn1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc3c(N)[nH]nc3c2)n1; [None]; [None]; [0]
 CN1c2ccc(-c3nc(C(N)=O)cs3)cc2CS1(=O)=O; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(-c3cn[nH]c3)cc2)n1; [None]; [None]; [0]
+NC(=O)c1csc(NCc2ccc(Cl)cc2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2nc(C(N)=O)cs2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc(CO)c2)n1; [None]; [None]; [0]
+COc1cc(-c2nc(C(N)=O)cs2)ccc1C(=O)[O-]; [None]; [None]; [0]
+NC(=O)c1csc(Nc2ccncc2)n1; [None]; [None]; [0]
 CC(C)n1cc(-c2nc(C(N)=O)cs2)nn1; [None]; [None]; [0]
+NC(=O)c1csc(NCc2ccccc2F)n1; [None]; [None]; [0]
+CSc1nc(-c2nc(C(N)=O)cs2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
 NC(=O)c1csc(CCc2c[nH]nn2)n1; [None]; [None]; [0]
-NC(=O)c1csc(NC(=O)c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2csc3ncncc23)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cc3ccccc3[nH]2)n1; [None]; [None]; [0]
+N#CCCc1cccc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cncnc2N)n1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3nc(C(N)=O)cs3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(F)cc2C(F)(F)F)n1; [None]; [None]; [0]
+NC(=O)CCCc1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(Oc2ccccn2)n1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(NC(=O)c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
 CC(C)(COc1nc(C(N)=O)cs1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2nc(C(N)=O)cs2)cc1Cl; [None]; [None]; [0]
+NC(=O)c1csc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
 NC(=O)c1csc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)n1; [None]; [None]; [0]
+CCCn1cc(-c2nc(C(N)=O)cs2)cn1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cc[nH]c(=O)c2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc3c2C(=O)CC3)n1; [None]; [None]; [0]
+COc1cc(CCc2nc(C(N)=O)cs2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
 C[C@@H](Oc1nc(C(N)=O)cs1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CCN(CC)c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cc3c(=O)[nH]ccc3o2)n1; [None]; [None]; [0]
 NC(=O)c1csc(-c2cc3c(=O)[nH]cc(Br)c3s2)n1; [None]; [None]; [0]
+COc1ccncc1Nc1nc(C(N)=O)cs1; [None]; [None]; [0]
 NC(=O)c1csc(Nc2cnccc2-c2ccccc2)n1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(Nc2cnc3ccccc3c2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
+CC1(c2nc(C(N)=O)cs2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1nc(C(N)=O)cs1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2nc(C(N)=O)cs2)cc1; [None]; [None]; [0]
+Cc1cc(-c2nc(C(N)=O)cs2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1nc(C(N)=O)cs1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+NC(=O)c1csc(-n2ccc(CO)n2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-n2cnc(CCO)c2)n1; [None]; [None]; [0]
+C[C@H](Nc1nc(C(N)=O)cs1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1nc(C(N)=O)cs1)C(C)(C)O; [None]; [None]; [0]
+NC(=O)c1csc(-c2c(F)cccc2Cl)n1; [None]; [None]; [0]
+NC(=O)c1csc(-n2ncc3ccccc32)n1; [None]; [None]; [0]
+NC(=O)c1csc(-n2ncc3c(O)cccc32)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
+CSc1nc(C)c(-c2nc(C(N)=O)cs2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2nc(C(N)=O)cs2)c(OC)c1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ccc(C(=O)c3ccccc3)cc2)n1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+NC(=O)c1csc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
 NC(=O)c1csc(-c2ccn(CC[NH3+])n2)n1; [None]; [None]; [0]
 NC(=O)c1csc(Cc2nnc3ccc(-c4ccccc4)nn23)n1; [None]; [None]; [0]
+NC(=O)c1csc(CCC(=O)NCc2ccccn2)n1; [None]; [None]; [0]
 NC(=O)c1csc(CS(=O)(=O)NCc2ccccn2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
+CCc1cc(-c2nc(C(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2nc(C(N)=O)cs2)nc(N)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2nnc(N)s2)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2nc(C(N)=O)cs2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc(C(N)=O)cs2)s1; [None]; [None]; [0]
 NC(=O)c1csc(Oc2ccc(C[NH3+])cc2F)n1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
+NC(=O)c1csc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3nc(C(N)=O)cs3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3nc(C(N)=O)cs3)c2)cc1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cncc(N)n2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
 NC(=O)c1csc(-c2cccc3nnsc23)n1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2nc(C(N)=O)cs2)n1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2nc(C(N)=O)cs2)[nH]1; [None]; [None]; [0]
+NC(=O)c1csc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2cn(CCO)cn2)n1; [None]; [None]; [0]
+NC(=O)c1csc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1nc(C(N)=O)cs1; [None]; [None]; [0]
 COc1ccc(Oc2nc(C(N)=O)cs2)c(F)c1F; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2nc(C(N)=O)cs2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2nc(C(N)=O)cs2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2nc(C(N)=O)cs2)cnn1; [None]; [None]; [0]
+NC(=O)c1csc(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; [None]; [None]; [0]
+NC(=O)c1csc(N2CC=C(c3c[nH]c4ccccc34)CC2)n1; [None]; [None]; [0]
 NC(=O)c1csc(-c2cccc(NC(=O)C3CCNCC3)c2)n1; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 CCOc1ccccc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 COC(C)(C)CCc1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cccc(-n3ccc(N)n3)c2)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(Cc3cc(F)cc(F)c3)c2)n1; [None]; [None]; [0]
 CP(C)(=O)c1ccccc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ccnc4ccccc34)c2)n1; [None]; [None]; [0]
+CCn1cc(-c2cccc(-n3ccc(N)n3)c2)cn1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cccc(C(F)(F)F)c3)c2)n1; [None]; [None]; [0]
-Nc1ccn(-c2cccc(-c3ccccc3Br)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ccccc3OC(F)(F)F)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ccccc3C(=O)[O-])c2)n1; [None]; [None]; [0]
 NC(=O)c1ccccc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cnn(Cc4ccccc4)c3)c2)n1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc(-n4ccc(N)n4)c3)cc2c1=O; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cnc(-c4ccccc4)[nH]3)c2)n1; [None]; [None]; [0]
-Nc1ccn(-c2cccc([C@@H](N)c3ccco3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cnn(CCO)c3)c2)n1; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2cccc(-n3ccc(N)n3)c2)cs1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cccc(NC(=O)c4ccccc4)c3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-n3ncc4cccc(F)c4c3=O)c2)n1; [None]; [None]; [0]
 COc1cnc(-c2cccc(-n3ccc(N)n3)c2)nc1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(-c3cc(Cl)ccc3Cl)c2)n1; [None]; [None]; [0]
 CC(C)C(=O)COc1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Cc1ccc(-c2cccc(-n3ccc(N)n3)c2)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
@@ -58177,40 +32121,49 @@ Cc1nc(N)sc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cnc4cccnn34)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3c(Cl)cccc3Cl)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cccc(Cn4cncn4)c3)c2)n1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(-c3cccc(Br)c3)c2)n1; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2cccc(-n3ccc(N)n3)c2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(NCc3cccnc3)c2)n1; [None]; [None]; [0]
 Cc1c(-c2cccc(-n3ccc(N)n3)c2)sc(=O)n1C; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ccnc(N)n3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cnn4ncccc34)c2)n1; [None]; [None]; [0]
-COc1cccc(-c2cccc(-n3ccc(N)n3)c2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ccc4ccccc4c3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(Nc3cccnc3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-n3cnc4ccccc43)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(NCCc3c[nH]cn3)c2)n1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccc(-n3ccc(N)n3)c2)o1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(NC(=O)c3cccs3)c2)n1; [None]; [None]; [0]
-Nc1ccn(-c2cccc(-c3cncc4ccccc34)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cccc(CC(=O)[O-])c3)c2)n1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(-c3c[nH]nc3C(F)(F)F)c2)n1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(-c3cncc4ccccc34)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(NCCc3ccccc3)c2)n1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cccc(-n4ccc(N)n4)c3)cc2)cn1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ccc4c(N)[nH]nc4c3)c2)n1; [None]; [None]; [0]
 CN1c2ccc(-c3cccc(-n4ccc(N)n4)c3)cc2CS1(=O)=O; [None]; [None]; [0]
 Cn1ncc2cc(-c3cccc(-n4ccc(N)n4)c3)ccc21; [None]; [None]; [0]
+Nc1ccn(-c2cccc(-c3ccc(-c4cn[nH]c4)cc3)c2)n1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(NCc3ccc(Cl)cc3)c2)n1; [None]; [None]; [0]
 CCCn1cnc(-c2cccc(-n3ccc(N)n3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cccc(O)c3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cccc(CO)c3)c2)n1; [None]; [None]; [0]
 COc1cc(-c2cccc(-n3ccc(N)n3)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
 Nc1ccn(-c2cccc(Nc3ccncc3)c2)n1; [None]; [None]; [0]
 CC(C)n1cc(-c2cccc(-n3ccc(N)n3)c2)nn1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(NCc3ccccc3F)c2)n1; [None]; [None]; [0]
 CSc1nc(-c2cccc(-n3ccc(N)n3)c2)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(CCc3c[nH]nn3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3csc4ncncc34)c2)n1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(-c3cc4ccccc4[nH]3)c2)n1; [None]; [None]; [0]
 N#CCCc1cccc(-c2cccc(-n3ccc(N)n3)c2)c1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(-c3csc(N)n3)c2)n1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(-c3cncnc3N)c2)n1; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cccc(-n4ccc(N)n4)c3)cc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cccc(-n3ccc(N)n3)c2)cc1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ccc(F)cc3C(F)(F)F)c2)n1; [None]; [None]; [0]
+NC(=O)CCCc1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(Oc3ccccn3)c2)n1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cccc(-n3ccc(N)n3)c2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(NC(=O)c3c(Cl)cccc3Cl)c2)n1; [None]; [None]; [0]
 Cn1cc(-c2cccc(-n3ccc(N)n3)c2)c2ccccc21; [None]; [None]; [0]
@@ -58224,18 +32177,20 @@ Nc1ccn(-c2cccc(-c3cc[nH]c(=O)c3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cccc4c3C(=O)CC4)c2)n1; [None]; [None]; [0]
 COc1cc(CCc2cccc(-n3ccc(N)n3)c2)cc(OC)c1; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2cccc(-n3ccc(N)n3)c2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 C[C@@H](Oc1cccc(-n2ccc(N)n2)c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2cccc(-n3ccc(N)n3)c2)cc1; [None]; [None]; [0]
 CCN(CC)c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cc4c(=O)[nH]ccc4o3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cc4c(=O)[nH]cc(Br)c4s3)c2)n1; [None]; [None]; [0]
-Nc1ccn(-c2cccc(-c3c[nH]c4ccccc34)c2)n1; [None]; [None]; [0]
 COc1ccncc1Nc1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(Nc3cnccc3-c3ccccc3)c2)n1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cccc(-n3ccc(N)n3)c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc(-n3ccc(N)n3)c2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(Nc3cnc4ccccc4c3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3c[nH]c4cnccc34)c2)n1; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
-Nc1ccn(-c2cccc([C@H](CO)Cc3ccccc3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cnc4[nH]ccc4c3)c2)n1; [None]; [None]; [0]
 CC1(c2cccc(-n3ccc(N)n3)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cccc(-n2ccc(N)n2)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
@@ -58249,15 +32204,15 @@ Nc1ccn(-c2cccc(-n3ccc(CO)n3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-n3cnc(CCO)c3)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cccc(-n2ccc(N)n2)c1)C(C)(C)O; [None]; [None]; [0]
 C[C@@H](Nc1cccc(-n2ccc(N)n2)c1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(-c3c(F)cccc3Cl)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-n3ncc4ccccc43)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-n3ncc4c(O)cccc43)c2)n1; [None]; [None]; [0]
-Nc1ccn(-c2cccc(-c3cccnc3O)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ccc(-n4cncn4)cc3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3nc4ccc(O)cc4[nH]3)c2)n1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cccc(-n3ccc(N)n3)c2)[nH]1; [None]; [None]; [0]
 COc1ccc(-c2cccc(-n3ccc(N)n3)c2)c(OC)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ccc(C(=O)c4ccccc4)cc3)c2)n1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc(-n3ccc(N)n3)c2)CC1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3nncn3C3CC3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ccn(CC[NH3+])n3)c2)n1; [None]; [None]; [0]
@@ -58267,181 +32222,1054 @@ Nc1ccn(-c2cccc(CS(=O)(=O)NCc3ccccn3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cn(Cc4ccccc4)nn3)c2)n1; [None]; [None]; [0]
 CCc1cc(-c2cccc(-n3ccc(N)n3)c2)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2cccc(-n3ccc(N)n3)c2)nc(N)n1; [None]; [None]; [0]
-Nc1ccn(-c2cccc(-c3cnc(N)s3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3nnc(N)s3)c2)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc(-n3ccc(N)n3)c2)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cccc(-n3ccc(N)n3)c2)s1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(Oc3ccc(C[NH3+])cc3F)c2)n1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc(-n3ccc(N)n3)c2)CC1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3nc4ccccc4s3)c2)n1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cccc(-n4ccc(N)n4)c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc(-n4ccc(N)n4)c3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cccc(-n3ccc(N)n3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cccc4ccsc34)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cccc4nnsc34)c2)n1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cccc(-n3ccc(N)n3)c2)[nH]1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3nc(N)c4ccccc4n3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ncc4ccccc4n3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3c[nH]c4cccnc34)c2)n1; [None]; [None]; [0]
+Nc1ccn(-c2cccc(-c3cn(CCO)cn3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3ncc4cc[nH]c4n3)c2)n1; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
 COc1ccc(Oc2cccc(-n3ccc(N)n3)c2)c(F)c1F; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2cccc(-n3ccc(N)n3)c2)CC1; [None]; [None]; [0]
 COc1ccc(OC)c(-c2cccc(-n3ccc(N)n3)c2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccc(-n3ccc(N)n3)c2)n1; [None]; [None]; [0]
+COc1ncccc1-c1cccc(-n2ccc(N)n2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccc(-n3ccc(N)n3)c2)c1; [None]; [None]; [0]
 CN(C)c1cc(-c2cccc(-n3ccc(N)n3)c2)cnn1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(N3CCC(c4nc5ccccc5[nH]4)CC3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(N3CC=C(c4c[nH]c5ccccc45)CC3)c2)n1; [None]; [None]; [0]
 Nc1ccn(-c2cccc(-c3cccc(NC(=O)C4CCNCC4)c3)c2)n1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc(C(=O)Nc3ccccc3)c(O)c2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+COc1ccc(F)cc1[C@@H](C)c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccnc3ccccc23)cc1O; [None]; [None]; [0]
+CCn1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cn1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cccc(C(F)(F)F)c2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccccc2OC(F)(F)F)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccccc2C(=O)[O-])cc1O; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnn(Cc3ccccc3)c2)cc1O; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2c1=O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1O; [None]; [None]; [0]
+N[C@H](c1ccc(C(=O)Nc2ccccc2)c(O)c1)c1ccco1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnn(CCO)c2)cc1O; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1)c1ccccc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)nc1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc(Cl)ccc2Cl)cc1O; [None]; [None]; [0]
+Cc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnc3ccccn23)cc1O; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnc3cccnn23)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2c(Cl)cccc2Cl)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cccc(Cn3cncn3)c2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cccc(Br)c2)cc1O; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
 Cc1c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2cnn3ncccc23)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc3ccccc3c2)cc1O; [None]; [None]; [0]
+CC(C)(C)c1cnc(Cc2ccc(C(=O)Nc3ccccc3)c(O)c2)o1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2c[nH]nc2C(F)(F)F)cc1O; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cncc3ccccc23)cc1O; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)ccc21; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(-c3cn[nH]c3)cc2)cc1O; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cccc(O)c2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cccc(CO)c2)cc1O; [None]; [None]; [0]
 COc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1C(F)(F)F; [None]; [None]; [0]
 CC(C)n1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)nn1; [None]; [None]; [0]
+CSc1nc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2csc3ncncc23)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc3ccccc3[nH]2)cc1O; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+Nc1ncncc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2s1; [None]; [None]; [0]
+CC[C@H](CO)c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(F)cc2C(F)(F)F)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(Cc2c(F)cccc2F)cc1O; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c2ccccc21; [None]; [None]; [0]
+COc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1Cl; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnn3ccccc23)cc1O; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cn1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc[nH]c(=O)c2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cccc3c2C(=O)CC3)cc1O; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Cc2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+CN(c1ncccc1Cc1ccc(C(=O)Nc2ccccc2)c(O)c1)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc3c(=O)[nH]ccc3o2)cc1O; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2cc3c(=O)[nH]cc(Br)c3s2)cc1O; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc([C@H](CO)c2ccccc2)cc1O; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2c[nH]c3cnccc23)cc1O; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc([C@H](CO)Cc2ccccc2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnc3[nH]ccc3c2)cc1O; [None]; [None]; [0]
+CC1(c2ccc(C(=O)Nc3ccccc3)c(O)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(N3CCOCC3)cc2)cc1O; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2c(F)cccc2Cl)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(-n3cncn3)cc2)cc1O; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc(C(=O)Nc3ccccc3)c(O)c2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2nncn2C2CC2)cc1O; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cn(Cc3ccccc3)nn2)cc1O; [None]; [None]; [0]
+CCc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc(C(=O)Nc3ccccc3)c(O)c2)CC1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2nc3ccccc3s2)cc1O; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cccc3ccsc23)cc1O; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2cccc3nnsc23)cc1O; [None]; [None]; [0]
+O=C(NCCCc1ccc(C(=O)Nc2ccccc2)c(O)c1)c1cccs1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(CCCNC(=O)C2CCC2)cc1O; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)cc1O; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)[nH]1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ncc3ccccc3n2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2c[nH]c3cccnc23)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cn(CCO)cn2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ncc3cc[nH]c3n2)cc1O; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1Cc1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc(C(=O)Nc3ccccc3)c(O)c2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cnn1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cccc3ncccc23)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2c(Cl)ccc3c2OCO3)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(Cl)c(O)c2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2n[nH]c3ccccc23)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(Oc2ccc(F)cc2)cc1O; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c(F)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(O)cc2Cl)cc1O; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(O)cc2F)cc1O; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2[nH]1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cn[nH]c2Cl)cc1O; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2ccc(-c3ccc(O)cc3O)cc2)cc1O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)o1; [None]; [None]; [0]
+COc1cc(CCc2ccc(C(=O)Nc3ccccc3)c(O)c2)ccc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(O)c(F)c2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(O)cc2O)cc1O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)ccn1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(COc2ccccc2Cl)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(F)c(Cl)c2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2[nH]cnc2-c2ccc(F)cc2)cc1O; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc(O)ccc2Cl)cc1O; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnc(O)c(Cl)c2)cc1O; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+COc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc(C(=O)Nc3ccccc3)c(O)c2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cncc(O)c2)cc1O; [None]; [None]; [0]
+O=C1Cc2cc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)ccc2N1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccc(C(=O)Nc4ccccc4)c(O)c3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc(C(F)F)n[nH]2)cc1O; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccncc2Cl)cc1O; [None]; [None]; [0]
+CCc1sccc1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc(Cl)c(O)c(Cl)c2)cc1O; [None]; [None]; [0]
+CNc1nc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)ncc1F; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc3c(c2)CCN3)cc1O; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2cc(O)n3nccc3n2)cc1O; [None]; [None]; [0]
 Cc1oc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc3[nH]c(=O)[nH]c3c2)cc1O; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(Nc2ccncc2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc(Br)cc2F)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2[nH]nc3ccc(F)cc23)cc1O; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
 CN(c1ccc(C(=O)Nc2ccccc2)c(O)c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc(O)cc(Br)c2)cc1O; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(C(=O)Nc4ccccc4)c(O)c3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)cc(C)c1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc(F)c(O)c(F)c2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2ccc3c(=O)[nH][nH]c3c2)cc1O; [None]; [None]; [0]
+CSc1cccc(-c2ccc(C(=O)Nc3ccccc3)c(O)c2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(CCc2c[nH]c3ccccc23)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(OCc2cccc3ccccc23)cc1O; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2ocnc2-c2ccc(F)cc2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(Oc2ccc(F)cc2F)cc1O; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1ccc(C(=O)Nc2ccccc2)c(O)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(OCc2ccc(F)cc2F)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(CCc2ccc(F)cc2F)cc1O; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(NCc2c(F)cccc2Cl)cc1O; [None]; [None]; [0]
+COc1cc(-c2ccc(N(C)C(C)=O)cc2)ccc1C(N)=O; [None]; [None]; [0]
+CCOc1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
+COc1cc(-c2ncc3ccccc3n2)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2sc(C(C)(C)O)nc2C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cccnc2OC)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cccc(S(C)(=O)=O)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(OC)c(OC)c(OC)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-n2cnc3ccc(C)cc32)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cnc3cccnn23)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(C#N)ccc2O)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cccc(O)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
+COc1cc(-c2ccc(N3CCOCC3)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cccc(NC(=O)C3CC3)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2nc3ccccc3[nH]2)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2ccc(CC(=O)N3CCN(C(C)=O)CC3)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)[O-])cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2nccc3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(Nc2ncccn2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cnn(Cc3cccc(C#N)c3)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(OCCO)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(CNC(C)=O)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cccc(C3CCNCC3)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)N3CCOCC3)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)N3CCOCC3)cn2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(OC[C@H](C)O)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(OC[C@@H](C)O)cc2)ccc1C(N)=O; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
 COc1cc(-c2ccc3c(c2)CS(=O)(=O)C3)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(F)(F)F)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(N(C)C)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(S(=O)(=O)N(C)C)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(Cc2ccccc2O)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2sc(C)nc2C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(C2CCN(S(C)(=O)=O)CC2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(Cc2cnc(N)nc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2cc(C(C)C)nc(N)n2)ccc1C(N)=O; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
 COc1cc(-c2cccc(N3CCCN(C(C)=O)CC3)c2)ccc1C(N)=O; [None]; [None]; [0]
 CCCOc1ccc(-c2ccc(C(N)=O)c(OC)c2)nc1; [None]; [None]; [0]
+COc1cc(-c2cccc(C(=O)[O-])c2C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(Br)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(N(C)C)c(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1ccc(Cc2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
+COc1cc(-c2ccn3nccc3n2)ccc1C(N)=O; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)c(C)c1; [None]; [None]; [0]
+COc1cc(-c2ccccc2-n2cccn2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(Cl)ccc2OC)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2c[nH]c3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(OC)c(-c2ccc(C(N)=O)c(OC)c2)cc1Cl; [None]; [None]; [0]
 COc1cc(-c2nc3ccc(C(C)C)cc3[nH]2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3c(c2)CCO3)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(-c3ccccc3)[nH]n2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cccc(NC(C)=O)c2)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2ccc(C(=O)N3CCOCC3)cc2OC)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)c(OC)c2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2cccc3c2OCO3)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2scc3c2OCCO3)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(Cc2nc3ccc(F)c(F)c3[nH]2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(Cc2nc3c(F)c(F)ccc3[nH]2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(C)(C)C)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cnc3ccccc3c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)N(C)C)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(C)(C)C)nc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc([C@@H]2CC[C@@H](NC(C)=O)CC2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(Cc2nc3ccccc3[nH]2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2csc(N)n2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C)[nH]c2=O)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(CCCc2ccccc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccn(-c3cccc(Cl)c3)n2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
+COc1cc(-c2ccc(SC)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc3ccccc3s2)ccc1C(N)=O; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3ccc(C(N)=O)c(OC)c3)cc2)CC1; [None]; [None]; [0]
+COc1cc(-c2cc(C)nc(N)n2)ccc1C(N)=O; [None]; [None]; [0]
+CC[C@@H](CO)c1ccc(C(N)=O)c(OC)c1; [None]; [None]; [0]
+COc1cc([C@H](CO)Cc2ccccc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(F)cc2Cl)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3c(c2)CCC(=O)N3)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ncc(Br)cn2)ccc1C(N)=O; [None]; [None]; [0]
+COc1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)N3CCC[C@@H]3C)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(Cl)cc2Cl)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(CCCn2cncn2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ncc3cccn3n2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(N3CCOCC3)c(OC)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc3ccccn3n2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cn(C)nc2C(F)(F)F)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3c(c2)CC(C)(C)O3)ccc1C(N)=O; [None]; [None]; [0]
+COc1ccc2cccc(-c3ccc(C(N)=O)c(OC)c3)c2c1; [None]; [None]; [0]
+COc1cc(-c2cccc3ccc(O)cc23)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(F)c(-c2ccc(C(N)=O)c(OC)c2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)c(OC)c2)ccc1Cl; [None]; [None]; [0]
+COc1cc(-c2cnn(CCO)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ncc(Cl)cn2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ncnc3c(C)csc23)ccc1C(N)=O; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
 COc1cc(-c2cc(N)nc3[nH]ccc23)ccc1C(N)=O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)nc1; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)c(OC)c2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
 COc1cc(-c2ccc(CS(C)(=O)=O)cc2OC)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc([C@@H]2CC[C@@H](OC)CC2)ccc1C(N)=O; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ccc(C(N)=O)c(OC)c2)CC1; [None]; [None]; [0]
 COc1cc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1ccc(C(N)=O)c(OC)c1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3ccc(C(N)=O)c(OC)c3)cc2c1; [None]; [None]; [0]
+COc1cc(-c2ccc3cn[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C[NH+](C)C)cc2)ccc1C(N)=O; [None]; [None]; [0]
+CCn1cc(-c2ccc(C(N)=O)c(OC)c2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
+COc1cc(-c2cc(-c3cccnc3)ccn2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc3ccccc3o2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(Br)cn2C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ncc3sccc3n2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cn(C)nc2C(C)C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cccc(NC(=O)N3CCCC3)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1ccc2nc(-c3ccc(C(N)=O)c(OC)c3)[nH]c2c1; [None]; [None]; [0]
+COc1cc(-c2ccc(OC(F)(F)F)cc2)ccc1C(N)=O; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
+COc1cc(-c2cn(C)c3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2cc3ccc(C(C)(C)O)cc3[nH]2)ccc1C(N)=O; [None]; [None]; [0]
+CCc1cccc(-c2ccc(C(N)=O)c(OC)c2)n1; [None]; [None]; [0]
 COc1cc(-c2ncn3c2CCCC3)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(C)c(OCCO)c(C)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3c(cnn3C)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3c(c2)c(Cl)nn3C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(N(C)C)nc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3c(C)n[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2cnn(C3CCN(C(C)=O)CC3)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cccc(N3CCCC3=O)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(CCO)cc2)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(NC(=O)c2cccc(OC(F)(F)F)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)N(C)C)cc2Cl)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2ccc(-c3cnc(C)n3C)cc2)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2ccc(-c3cnn(C)c3)cc2OC)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(N3CCOCC3)cc2C)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2ccc(S(C)(=O)=O)cc2OC)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(N3CCNCC3)cc2OC)ccc1C(N)=O; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)c(OC)c1; [None]; [None]; [0]
 COc1cc(-c2cc(C(C)(C)O)n(C)n2)ccc1C(N)=O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)N(C)C)cn2)ccc1C(N)=O; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccc(C(N)=O)c(OC)c2)cc1; [None]; [None]; [0]
+COc1cc(-c2cc(S(C)(=O)=O)ccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc([C@H](C)CS(C)(=O)=O)ccc1C(N)=O; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
+COc1cc(-c2cc(C(=O)NCCO)ccc2C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cccc3ncccc23)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2c(Cl)ccc3c2OCO3)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(Cl)c(O)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2c(Cl)cccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(Oc2ccc(F)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)cc2F)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(O)cc2Cl)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)cc2OC)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(O)cc2F)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccnc(N)n2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(F)ccc2OC)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(F)c3nc(C)[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cn[nH]c2Cl)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(F)cc2OC)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2ccc(-c3ccc(O)cc3O)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc(C(N)=O)c(OC)c2)o1; [None]; [None]; [0]
+COc1cc(CCc2ccc(C(N)=O)c(OC)c2)ccc1O; [None]; [None]; [0]
+COc1cc(-c2cccc(Br)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3ccccc3c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(O)c(F)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(O)cc2O)ccc1C(N)=O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
 COc1cc(-c2cnn3ncccc23)ccc1C(N)=O; [None]; [None]; [0]
-COc1cc(-c2cc(O)n3nccc3n2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2c[nH]c3cnccc23)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccnc(N)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(COc2ccccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(F)c(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2[nH]cnc2-c2ccc(F)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2c(C)ccc3[nH]ncc23)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(O)ccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(CO)ccc2C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cnc(O)c(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2c[nH]c(C(N)=O)c2)ccc1C(N)=O; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc(C(N)=O)c(OC)c3)ccc12; [None]; [None]; [0]
+COc1cc(-c2ccc3nc(C)[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
+CCOc1cccc(-c2ccc(C(N)=O)c(OC)c2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc(C(N)=O)c(OC)c2)cc(OC)c1; [None]; [None]; [0]
+COc1cc(-c2ccc(NC(N)=O)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cnc3[nH]ccc3c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(S(C)(=O)=O)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2nc3ccccc3s2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cncc(O)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3c(c2)CC(=O)N3)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc([C@H](C)CC(N)=O)ccc1C(N)=O; [None]; [None]; [0]
+CNc1nccc(-c2ccc(C(N)=O)c(OC)c2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc(C(N)=O)c(OC)c1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc(C(N)=O)c(OC)c1; [None]; [None]; [0]
 COc1cc(N(C)c2ccc3c(C)n[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2[nH]nc(C)c2C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(O)cc2C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(C(F)F)n[nH]2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(N(C)c2cccc(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccncc2Cl)ccc1C(N)=O; [None]; [None]; [0]
+CCc1sccc1-c1ccc(C(N)=O)c(OC)c1; [None]; [None]; [0]
+COc1cc(-c2cc(Cl)c(O)c(Cl)c2)ccc1C(N)=O; [None]; [None]; [0]
+CNc1nc(-c2ccc(C(N)=O)c(OC)c2)ncc1F; [None]; [None]; [0]
+COc1cc(-c2ccc3c(c2)CCN3)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(O)n3nccc3n2)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2cc(C(=O)[O-])c(C)o2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3[nH]c(=O)[nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2c(N)cnn2C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(Nc2ccncc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(Br)cc2F)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2[nH]nc3ccc(F)cc23)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(N(C)c2cccc3[nH]ncc23)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(O)cc(Br)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)NC3CC3)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)c(C)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3nc(C)oc3c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(C)c(O)c(C)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cc(F)c(O)c(F)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2ccc3c(=O)[nH][nH]c3c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cccc(SC)c2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(CCc2c[nH]c3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(OCc2cccc3ccccc23)ccc1C(N)=O; [None]; [None]; [0]
 COc1cc(-c2ocnc2-c2ccc(F)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(Oc2ccc(F)cc2F)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2c(-c3ccccc3)noc2C)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(OCc2ccc(F)cc2F)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(CCc2ccc(F)cc2F)ccc1C(N)=O; [None]; [None]; [0]
+COc1cc(NCc2c(F)cccc2Cl)ccc1C(N)=O; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+CCOc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1ncc2ccccc2n1)c1ccc(Br)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1ncccc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(NC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(Br)cc2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(NC(=O)c3ccc(Br)cc3)c2c1; [None]; [None]; [0]
+O=C(Nc1cnc2cccnn12)c1ccc(Br)cc1; [None]; [None]; [0]
+N#Cc1ccc(O)c(NC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(O)c1)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(N2CCOCC2)cc1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(NC(=O)C2CC2)c1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1nc2ccccc2[nH]1)c1ccc(Br)cc1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(NC(=O)c3ccc(Br)cc3)cc2)CC1; [None]; [None]; [0]
+O=C([O-])c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1nccc2ccccc12)c1ccc(Br)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+O=C(NNc1ncccn1)c1ccc(Br)cc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(NC(=O)c3ccc(Br)cc3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccc(C(=O)Nc2ccccc2)cc1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(OCCO)cc1)c1ccc(Br)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(C2CCNCC2)c1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(C(=O)N2CCOCC2)cc1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(C(=O)N2CCOCC2)cn1)c1ccc(Br)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
 O=C(Nc1ccc2c(c1)CS(=O)(=O)C2)c1ccc(Br)cc1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(NC(=O)c3ccc(Br)cc3)c2)CC1; [None]; [None]; [0]
+O=C(Nc1ccc(C(F)(F)F)cc1)c1ccc(Br)cc1; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+O=C(NCc1ccccc1O)c1ccc(Br)cc1; [None]; [None]; [0]
+Cc1nc(C)c(NC(=O)c2ccc(Br)cc2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(NC(=O)c2ccc(Br)cc2)CC1; [None]; [None]; [0]
+Nc1ncc(CNC(=O)c2ccc(Br)cc2)cn1; [None]; [None]; [0]
+O=C(N[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccc(Br)cc1; [None]; [None]; [0]
 CC(C)c1cc(NC(=O)c2ccc(Br)cc2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(NC(=O)c3ccc(Br)cc3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(NC(=O)c2ccc(Br)cc2)nc1; [None]; [None]; [0]
+Cc1c(NC(=O)c2ccc(Br)cc2)cccc1C(=O)[O-]; [None]; [None]; [0]
+O=C(Nc1ccc(Br)cc1)c1ccc(Br)cc1; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccc(Br)cc2)cc1Cl; [None]; [None]; [0]
+COc1ccc(CNC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccn2nccc2n1)c1ccc(Br)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)c2ccc(Br)cc2)c(C)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1-n1cccn1)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1c[nH]c2ccccc12)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1cc(OC)c(NC(=O)c2ccc(Br)cc2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(NC(=O)c3ccc(Br)cc3)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1ccc2c(c1)CCO2)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1cc(-c2ccccc2)[nH]n1)c1ccc(Br)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(NC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(Br)cc2)ccc1O; [None]; [None]; [0]
+O=C(Nc1cccc2c1OCO2)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1scc2c1OCCO2)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(NCc1nc2ccc(F)c(F)c2[nH]1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(NCc1nc2c(F)c(F)ccc2[nH]1)c1ccc(Br)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1cnc2ccccc2c1)c1ccc(Br)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(NC(=O)c2ccc(Br)cc2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccc(Br)cc2)CC1; [None]; [None]; [0]
+O=C(NCc1nc2ccccc2[nH]1)c1ccc(Br)cc1; [None]; [None]; [0]
+Nc1nc(NC(=O)c2ccc(Br)cc2)cs1; [None]; [None]; [0]
+Cc1ccc(NC(=O)c2ccc(Br)cc2)c(=O)[nH]1; [None]; [None]; [0]
+O=C(NCCCc1ccccc1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1ccn(-c2cccc(Cl)c2)n1)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1cccc(C(=O)NNC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
+CSc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1cc2ccccc2s1)c1ccc(Br)cc1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(NC(=O)c3ccc(Br)cc3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(NC(=O)c2ccc(Br)cc2)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(N[C@H](CO)Cc1ccccc1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(F)cc1Cl)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C1CCc2cc(NC(=O)c3ccc(Br)cc3)ccc2N1; [None]; [None]; [0]
+O=C(Nc1ncc(Br)cn1)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1ccc(NC(=O)c2ccc(Br)cc2)cc1OC; [None]; [None]; [0]
+CCc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(Cl)cc1Cl)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(NCCCn1cncn1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1ncc2cccn2n1)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(Br)cc2)ccc1N1CCOCC1; [None]; [None]; [0]
+O=C(Nc1cc2ccccn2n1)c1ccc(Br)cc1; [None]; [None]; [0]
+Cn1cc(NC(=O)c2ccc(Br)cc2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(NC(=O)c3ccc(Br)cc3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(NC(=O)c3ccc(Br)cc3)c2c1; [None]; [None]; [0]
+O=C(Nc1cccc2ccc(O)cc12)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1cc(F)c(NC(=O)c2ccc(Br)cc2)cc1OC; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(Br)cc2)ccc1Cl; [None]; [None]; [0]
+O=C(Nc1cnn(CCO)c1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1ncc(Cl)cn1)c1ccc(Br)cc1; [None]; [None]; [0]
+Cc1csc2c(NC(=O)c3ccc(Br)cc3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
 Nc1cc(NC(=O)c2ccc(Br)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(NC(=O)c2ccc(Br)cc2)nc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(Br)cc2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(CNC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](NC(=O)c2ccc(Br)cc2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(NC(=O)c2ccc(Br)cc2)CC1; [None]; [None]; [0]
 O=C(Nc1cccc(C(=O)Nc2cn[nH]c2)c1)c1ccc(Br)cc1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NNC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(Br)cc2)cc(OC)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(NC(=O)c1ccc(Br)cc1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(NC(=O)c3ccc(Br)cc3)cc2c1; [None]; [None]; [0]
+O=C(Nc1ccc2cn[nH]c2c1)c1ccc(Br)cc1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+CCn1cc(NC(=O)c2ccc(Br)cc2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(NC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
+O=C(Nc1cc(-c2cccnc2)ccn1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1cc2ccccc2o1)c1ccc(Br)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1ncc2sccc2n1)c1ccc(Br)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(NC(=O)N2CCCC2)c1)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1ccc2nc(NC(=O)c3ccc(Br)cc3)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1ccc(OC(F)(F)F)cc1)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)NNC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
+Cn1cc(NC(=O)c2ccc(Br)cc2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(NC(=O)c3ccc(Br)cc3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(NC(=O)c2ccc(Br)cc2)n1; [None]; [None]; [0]
 O=C(Nc1ncn2c1CCCC2)c1ccc(Br)cc1; [None]; [None]; [0]
+Cc1cc(NC(=O)c2ccc(Br)cc2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(NC(=O)c3ccc(Br)cc3)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(NC(=O)c3ccc(Br)cc3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccc(Br)cc2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(NC(=O)c3ccc(Br)cc3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(NC(=O)c3ccc(Br)cc3)cn2)CC1; [None]; [None]; [0]
+O=C(Nc1cccc(N2CCCC2=O)c1)c1ccc(Br)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(CCO)cc1)c1ccc(Br)cc1; [None]; [None]; [0]
 O=C(NNC(=O)c1cccc(OC(F)(F)F)c1)c1ccc(Br)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(NC(=O)c2ccc(Br)cc2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(NC(=O)c3ccc(Br)cc3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2ccc(Br)cc2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(NC(=O)c2ccc(Br)cc2)cc1C(C)(C)O; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(NC(=O)c3ccc(F)cc3)cc2)CC1; [None]; [None]; [0]
+CCNC(=O)c1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(NC(=O)c2ccc(Br)cc2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(NC(=O)c2ccc(Br)cc2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(NC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(NC(=O)c2ccc(Br)cc2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1NC(=O)c1ccc(Br)cc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+CCOc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1ncc2ccccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+COc1ncccc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(NC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(F)cc2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(NC(=O)c3ccc(F)cc3)c2c1; [None]; [None]; [0]
+O=C(Nc1cnc2cccnn12)c1ccc(F)cc1; [None]; [None]; [0]
+N#Cc1ccc(O)c(NC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(O)c1)c1ccc(F)cc1; [None]; [None]; [0]
+COc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(N2CCOCC2)cc1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(NC(=O)C2CC2)c1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1nc2ccccc2[nH]1)c1ccc(F)cc1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(NC(=O)c3ccc(F)cc3)cc2)CC1; [None]; [None]; [0]
+O=C([O-])c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1nccc2ccccc12)c1ccc(F)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+O=C(NNc1ncccn1)c1ccc(F)cc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(NC(=O)c3ccc(F)cc3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccc(C(=O)Nc2ccccc2)cc1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(OCCO)cc1)c1ccc(F)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(C2CCNCC2)c1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(C(=O)N2CCOCC2)cc1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(C(=O)N2CCOCC2)cn1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
 O=C(Nc1ccc2c(c1)CS(=O)(=O)C2)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(C(F)(F)F)cc1)c1ccc(F)cc1; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+O=C(NCc1ccccc1O)c1ccc(F)cc1; [None]; [None]; [0]
+Cc1nc(C)c(NC(=O)c2ccc(F)cc2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(NC(=O)c2ccc(F)cc2)CC1; [None]; [None]; [0]
+Nc1ncc(CNC(=O)c2ccc(F)cc2)cn1; [None]; [None]; [0]
+O=C(N[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccc(F)cc1; [None]; [None]; [0]
 CC(C)c1cc(NC(=O)c2ccc(F)cc2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(NC(=O)c3ccc(F)cc3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(NC(=O)c2ccc(F)cc2)nc1; [None]; [None]; [0]
+Cc1c(NC(=O)c2ccc(F)cc2)cccc1C(=O)[O-]; [None]; [None]; [0]
+O=C(Nc1ccc(Br)cc1)c1ccc(F)cc1; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccc(F)cc2)cc1Cl; [None]; [None]; [0]
+COc1ccc(CNC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccn2nccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)c2ccc(F)cc2)c(C)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1-n1cccn1)c1ccc(F)cc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1c[nH]c2ccccc12)c1ccc(F)cc1; [None]; [None]; [0]
+COc1cc(OC)c(NC(=O)c2ccc(F)cc2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(NC(=O)c3ccc(F)cc3)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1ccc2c(c1)CCO2)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1cc(-c2ccccc2)[nH]n1)c1ccc(F)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(NC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(F)cc2)ccc1O; [None]; [None]; [0]
+O=C(Nc1cccc2c1OCO2)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1scc2c1OCCO2)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(NCc1nc2ccc(F)c(F)c2[nH]1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(NCc1nc2c(F)c(F)ccc2[nH]1)c1ccc(F)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1cnc2ccccc2c1)c1ccc(F)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(NC(=O)c2ccc(F)cc2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccc(F)cc2)CC1; [None]; [None]; [0]
+O=C(NCc1nc2ccccc2[nH]1)c1ccc(F)cc1; [None]; [None]; [0]
+Nc1nc(NC(=O)c2ccc(F)cc2)cs1; [None]; [None]; [0]
+Cc1ccc(NC(=O)c2ccc(F)cc2)c(=O)[nH]1; [None]; [None]; [0]
+O=C(NCCCc1ccccc1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1ccn(-c2cccc(Cl)c2)n1)c1ccc(F)cc1; [None]; [None]; [0]
+COc1cccc(C(=O)NNC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
+CSc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1cc2ccccc2s1)c1ccc(F)cc1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(NC(=O)c3ccc(F)cc3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(NC(=O)c2ccc(F)cc2)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(N[C@H](CO)Cc1ccccc1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(F)cc1Cl)c1ccc(F)cc1; [None]; [None]; [0]
+O=C1CCc2cc(NC(=O)c3ccc(F)cc3)ccc2N1; [None]; [None]; [0]
+O=C(Nc1ncc(Br)cn1)c1ccc(F)cc1; [None]; [None]; [0]
+COc1ccc(NC(=O)c2ccc(F)cc2)cc1OC; [None]; [None]; [0]
+CCc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(Cl)cc1Cl)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(NCCCn1cncn1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1ncc2cccn2n1)c1ccc(F)cc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(F)cc2)ccc1N1CCOCC1; [None]; [None]; [0]
+O=C(Nc1cc2ccccn2n1)c1ccc(F)cc1; [None]; [None]; [0]
+Cn1cc(NC(=O)c2ccc(F)cc2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(NC(=O)c3ccc(F)cc3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(NC(=O)c3ccc(F)cc3)c2c1; [None]; [None]; [0]
+O=C(Nc1cccc2ccc(O)cc12)c1ccc(F)cc1; [None]; [None]; [0]
+COc1cc(F)c(NC(=O)c2ccc(F)cc2)cc1OC; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(F)cc2)ccc1Cl; [None]; [None]; [0]
+O=C(Nc1cnn(CCO)c1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1ncc(Cl)cn1)c1ccc(F)cc1; [None]; [None]; [0]
+Cc1csc2c(NC(=O)c3ccc(F)cc3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
 Nc1cc(NC(=O)c2ccc(F)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(NC(=O)c2ccc(F)cc2)nc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(F)cc2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(CNC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](NC(=O)c2ccc(F)cc2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(NC(=O)c2ccc(F)cc2)CC1; [None]; [None]; [0]
 O=C(Nc1cccc(C(=O)Nc2cn[nH]c2)c1)c1ccc(F)cc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(F)cc2)cc(OC)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(NC(=O)c1ccc(F)cc1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(NC(=O)c3ccc(F)cc3)cc2c1; [None]; [None]; [0]
+O=C(Nc1ccc2cn[nH]c2c1)c1ccc(F)cc1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+CCn1cc(NC(=O)c2ccc(F)cc2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(NC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
+O=C(Nc1cc(-c2cccnc2)ccn1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1cc2ccccc2o1)c1ccc(F)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1ncc2sccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(NC(=O)N2CCCC2)c1)c1ccc(F)cc1; [None]; [None]; [0]
+COc1ccc2nc(NC(=O)c3ccc(F)cc3)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1ccc(OC(F)(F)F)cc1)c1ccc(F)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NNC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
+Cn1cc(NC(=O)c2ccc(F)cc2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(NC(=O)c3ccc(F)cc3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(NC(=O)c2ccc(F)cc2)n1; [None]; [None]; [0]
 O=C(Nc1ncn2c1CCCC2)c1ccc(F)cc1; [None]; [None]; [0]
+Cc1cc(NC(=O)c2ccc(F)cc2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(NC(=O)c3ccc(F)cc3)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(NC(=O)c3ccc(F)cc3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(NC(=O)c2ccc(F)cc2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(NC(=O)c3ccc(F)cc3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(NC(=O)c3ccc(F)cc3)cn2)CC1; [None]; [None]; [0]
+O=C(Nc1cccc(N2CCCC2=O)c1)c1ccc(F)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(CCO)cc1)c1ccc(F)cc1; [None]; [None]; [0]
 O=C(NNC(=O)c1cccc(OC(F)(F)F)c1)c1ccc(F)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(NC(=O)c2ccc(F)cc2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(NC(=O)c3ccc(F)cc3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2ccc(F)cc2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(NC(=O)c2ccc(F)cc2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(NC(=O)c2ccc(F)cc2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(NC(=O)c2ccc(F)cc2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(NC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(NC(=O)c2ccc(F)cc2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1NC(=O)c1ccc(F)cc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3ncc4ccccc4n3)cn2)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+COc1cc(-c2cnn(-c3ccccc3)c2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cnn(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3cnc4cccnn34)cn2)cc1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+Oc1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+COc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3ccc(N4CCOCC4)cc3)cn2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cnn(-c3ccccc3)c2)c1)C1CC1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3nc4ccccc4[nH]3)cn2)cc1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnn(-c4ccccc4)c3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2cnn(-c3ccccc3)c2)sn1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3nccc4ccccc34)cn2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(Nc3ncccn3)cn2)cc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cnn(-c4ccccc4)c3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3cccc(C4CCNCC4)c3)cn2)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2cnn(-c3ccccc3)c2)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2cnn(-c3ccccc3)c2)nc1)N1CCOCC1; [None]; [None]; [0]
+c1ccc(-n2cc(Nc3ccncn3)cn2)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3cnn(-c4ccccc4)c3)cc2C1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cnn(-c3ccccc3)c2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2cnn(-c3ccccc3)c2)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2cnn(-c3ccccc3)c2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cnn(-c4ccccc4)c3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cnn(-c3ccccc3)c2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Brc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnn(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3ccn4nccc4n3)cn2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3ccccc3-n3cccn3)cn2)cc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3c[nH]c4ccccc34)cn2)cc1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cnn(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cnn(-c4ccccc4)c3)[nH]c2c1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3ccc4c(c3)CCO4)cn2)cc1; [None]; [None]; [0]
+c1ccc(-c2cc(-c3cnn(-c4ccccc4)c3)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cnn(-c4ccccc4)c3)nc2c1F; [None]; [None]; [0]
+COc1cc(-c2cnn(-c3ccccc3)c2)ccc1O; [None]; [None]; [0]
+c1ccc(-n2cc(-c3cccc4c3OCO4)cn2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3scc4c3OCCO4)cn2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3cnc4ccccc4c3)cn2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnn(-c3ccccc3)c2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
+Nc1nc(-c2cnn(-c3ccccc3)c2)cs1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3cnn(-c4ccccc4)c3)n2)c1; [None]; [None]; [0]
+CC1(COc2cnn(-c3ccccc3)c2)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3cc4ccccc4s3)cn2)cc1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cnn(-c4ccccc4)c3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2cnn(-c3ccccc3)c2)nc(N)n1; [None]; [None]; [0]
+Fc1ccc(-c2cnn(-c3ccccc3)c2)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3cnn(-c4ccccc4)c3)ccc2N1; [None]; [None]; [0]
+Brc1cnc(-c2cnn(-c3ccccc3)c2)nc1; [None]; [None]; [0]
+COc1ccc(-c2cnn(-c3ccccc3)c2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+COc1ccc(CNc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Clc1ccc(-c2cnn(-c3ccccc3)c2)c(Cl)c1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2cnn(-c3ccccc3)c2)C1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3ncc4cccn4n3)cn2)cc1; [None]; [None]; [0]
+COc1cc(-c2cnn(-c3ccccc3)c2)ccc1N1CCOCC1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3cc4ccccn4n3)cn2)cc1; [None]; [None]; [0]
+Cn1cc(-c2cnn(-c3ccccc3)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cnn(-c4ccccc4)c3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cnn(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3cnn(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cnn(-c3ccccc3)c2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2cnn(-c3ccccc3)c2)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2cnn(-c3ccccc3)c2)cn1; [None]; [None]; [0]
+Clc1cnc(-c2cnn(-c3ccccc3)c2)nc1; [None]; [None]; [0]
+Cc1csc2c(-c3cnn(-c4ccccc4)c3)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2cnn(-c3ccccc3)c2)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2cnn(-c3ccccc3)c2)nn1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 Nc1cc(-c2cnn(-c3ccccc3)c2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)nc1; [None]; [None]; [0]
+COc1cc(-c2cnn(-c3ccccc3)c2)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+O=C(Nc1cnn(-c2ccccc2)c1)c1ccco1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cnn(-c3ccccc3)c2)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cnn(-c3ccccc3)c1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cnn(-c4ccccc4)c3)cc2c1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3ccc4cn[nH]c4c3)cn2)cc1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CCn1cc(-c2cnn(-c3ccccc3)c2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3cc(-c4cccnc4)ccn3)cn2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3cc4ccccc4o3)cn2)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3ncc4sccc4n3)cn2)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cnn(-c3ccccc3)c2)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3cnn(-c4ccccc4)c3)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+Cn1cc(-c2cnn(-c3ccccc3)c2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cnn(-c4ccccc4)c3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2cnn(-c3ccccc3)c2)n1; [None]; [None]; [0]
 c1ccc(-n2cc(-c3ncn4c3CCCC4)cn2)cc1; [None]; [None]; [0]
+Cc1cc(-c2cnn(-c3ccccc3)c2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3cnn(-c4ccccc4)c3)ccc21; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cnn(-c4ccccc4)c3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnn(-c3ccccc3)c2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cnn(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cnn(-c4ccccc4)c3)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+OCCc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 O=C(Nc1cnn(-c2ccccc2)c1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnn(-c3ccccc3)c2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cnn(-c4ccccc4)c3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
-Cc1cc(Nc2cnn(-c3ccccc3)c2)ncc1F; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cnn(-c3ccccc3)c2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnn(-c3ccccc3)c2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Fc1ccc(Nc2cnn(-c3ccccc3)c2)nc1; [None]; [None]; [0]
+Cc1cc(Nc2cnn(-c3ccccc3)c2)ncc1F; [None]; [None]; [0]
+c1ccc(-n2cc(Nc3ccccn3)cn2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3cccc4ncccc34)cn2)cc1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1cnn(-c3ccccc3)c1)OCO2; [None]; [None]; [0]
+Oc1cc(-c2cnn(-c3ccccc3)c2)ccc1Cl; [None]; [None]; [0]
+c1ccc(-n2cc(-c3n[nH]c4ccccc34)cn2)cc1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Fc1ccc(Oc2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2cnn(-c3ccccc3)c2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Oc1ccc(-c2cnn(-c3ccccc3)c2)c(F)c1; [None]; [None]; [0]
+Nc1nccc(-c2cnn(-c3ccccc3)c2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnn(-c4ccccc4)c3)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3cnn(-c4ccccc4)c3)cc2)c(O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cnn(-c3ccccc3)c2)o1; [None]; [None]; [0]
+COc1cc(CCc2cnn(-c3ccccc3)c2)ccc1O; [None]; [None]; [0]
+Brc1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3ccc4ccccc4c3)cn2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2cnn(-c3ccccc3)c2)cc1F; [None]; [None]; [0]
+Oc1ccc(-c2cnn(-c3ccccc3)c2)c(O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
 c1ccc(-n2cc(-c3cnn4ncccc34)cn2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3c[nH]c4cnccc34)cn2)cc1; [None]; [None]; [0]
+Nc1cc(-c2cnn(-c3ccccc3)c2)ccn1; [None]; [None]; [0]
+Clc1ccccc1OCc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Fc1ccc(-c2cnn(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Oc1ncc(-c2cnn(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
+NC(=O)c1cc(-c2cnn(-c3ccccc3)c2)c[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cnn(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnn(-c4ccccc4)c3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+COc1cc(CCc2cnn(-c3ccccc3)c2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3cnc4[nH]ccc4c3)cn2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(-c3nc4ccccc4s3)cn2)cc1; [None]; [None]; [0]
+Oc1cncc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3cnn(-c4ccccc4)c3)ccc2N1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+CNc1nccc(-c2cnn(-c3ccccc3)c2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cnn(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnn(-c3ccccc3)c2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+FC(F)c1cc(-c2cnn(-c3ccccc3)c2)[nH]n1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Clc1cnccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+CCc1sccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2cnn(-c3ccccc3)c2)cc1Cl; [None]; [None]; [0]
+CNc1nc(-c2cnn(-c3ccccc3)c2)ncc1F; [None]; [None]; [0]
+c1ccc(-n2cc(-c3ccc4c(c3)CCN4)cn2)cc1; [None]; [None]; [0]
 Oc1cc(-c2cnn(-c3ccccc3)c2)nc2ccnn12; [None]; [None]; [0]
 Cc1oc(-c2cnn(-c3ccccc3)c2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3cnn(-c4ccccc4)c3)cc2[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+c1ccc(-n2cc(Nc3ccncc3)cn2)cc1; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Fc1ccc2n[nH]c(-c3cnn(-c4ccccc4)c3)c2c1; [None]; [None]; [0]
 CN(c1cnn(-c2ccccc2)c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2cnn(-c3ccccc3)c2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnn(-c4ccccc4)c3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2cnn(-c3ccccc3)c2)cc(C)c1O; [None]; [None]; [0]
+Oc1c(F)cc(-c2cnn(-c3ccccc3)c2)cc1F; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3cnn(-c4ccccc4)c3)ccc12; [None]; [None]; [0]
+CSc1cccc(-c2cnn(-c3ccccc3)c2)c1; [None]; [None]; [0]
+c1ccc(-n2cc(CCc3c[nH]c4ccccc34)cn2)cc1; [None]; [None]; [0]
+c1ccc(-n2cc(OCc3cccc4ccccc34)cn2)cc1; [None]; [None]; [0]
+Fc1ccc(-c2ncoc2-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Fc1ccc(Oc2cnn(-c3ccccc3)c2)c(F)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1cnn(-c2ccccc2)c1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
+Fc1ccc(COc2cnn(-c3ccccc3)c2)c(F)c1; [None]; [None]; [0]
+Fc1ccc(CCc2cnn(-c3ccccc3)c2)c(F)c1; [None]; [None]; [0]
+Fc1cccc(Cl)c1CNc1cnn(-c2ccccc2)c1; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
 CCOc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
-Fc1ccc(-c2ncoc2-c2cnn(-c3ccccc3)c2)cc1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ncc4ccccc4n3)nc21; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 COc1ncccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(S(C)(=O)=O)c3)nc21; [None]; [None]; [0]
 COc1cc(-c2ncc3ncn(C(C)C)c3n2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ncc4ncn(C(C)C)c4n3)c2c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cnc4cccnn34)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cc(C#N)ccc3O)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(O)c3)nc21; [None]; [None]; [0]
 COc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(N4CCOCC4)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(NC(=O)C4CC4)c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3nc4ccccc4[nH]3)nc21; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3ncc4ncn(C(C)C)c4n3)cc2)CC1; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3ccc(NS(C)(=O)=O)nc3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3ccc(C(N)=O)cc3)nc21; [None]; [None]; [0]
+Cc1cc(Nc2ncc3ncn(C(C)C)c3n2)sn1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(C(=O)[O-])cc3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3nccc4ccccc34)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccc(C(N)=O)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(Nc3ncccn3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cnn(Cc4cccc(C#N)c4)c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(C(=O)Nc4ccccc4)cc3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(Cc3nccc4ccccc34)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(OCCO)cc3)nc21; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(C4CCNCC4)c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(C(=O)N4CCOCC4)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(C(=O)N4CCOCC4)cn3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(Nc3ccncn3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(OC[C@H](C)O)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(OC[C@@H](C)O)cc3)nc21; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
@@ -58449,25 +33277,25 @@ CC(C)n1cnc2cnc(-c3ccc4c(c3)CS(=O)(=O)C4)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(C(F)(F)F)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(N(C)C)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(S(=O)(=O)N(C)C)cc3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(Cc3ccccc3O)nc21; [None]; [None]; [0]
 Cc1nc(C)c(-c2ncc3ncn(C(C)C)c3n2)s1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(C3CCN(S(C)(=O)=O)CC3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(Cc3cnc(N)nc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc([C@H]3CCN(C(=O)c4ccccc4)C3)nc21; [None]; [None]; [0]
 CC(C)c1cc(-c2ncc3ncn(C(C)C)c3n2)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3ncc4ncn(C(C)C)c4n3)c2)CC1; [None]; [None]; [0]
-Cc1c(C(=O)[O-])cccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CCCOc1ccc(-c2ncc3ncn(C(C)C)c3n2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(Br)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(N(C)C)c(Cl)c3)nc21; [None]; [None]; [0]
-COc1ccc(Cc2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccn4nccc4n3)nc21; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ncc3ncn(C(C)C)c3n2)c(C)c1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccccc3-n3cccn3)nc21; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3c[nH]c4ccccc34)nc21; [None]; [None]; [0]
 COc1cc(OC)c(-c2ncc3ncn(C(C)C)c3n2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3ncc4ncn(C(C)C)c4n3)[nH]c2c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc4c(c3)CCO4)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3cc4ccccc4cn3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc(-c4ccccc4)[nH]n3)nc21; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
@@ -58478,19 +33306,24 @@ CC(C)n1cnc2cnc(-c3ccc(C(C)(C)C)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cnc4ccccc4c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(C(=O)N(C)C)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(C(C)(C)C)nc3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(Cc3nc4c(F)c(F)ccc4[nH]3)nc21; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](c2ncc3ncn(C(C)C)c3n2)CC1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3csc(N)n3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccn(-c4cccc(Cl)c4)n3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(OCC3(C)COC3)nc21; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cc4ccccc4s3)nc21; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3ncc4ncn(C(C)C)c4n3)cc2)CC1; [None]; [None]; [0]
 Cc1cc(-c2ncc3ncn(C(C)C)c3n2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
-CC(C)n1cnc2cnc([C@H](CO)Cc3ccccc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(F)cc3Cl)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccc4c(c3)CCC(=O)N4)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ncc(Br)cn3)nc21; [None]; [None]; [0]
-CCc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
 COc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccc(C(=O)N4CCC[C@@H]4C)cc3)nc21; [None]; [None]; [0]
+COc1ccc(CNc2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(Cl)cc3Cl)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(CCCn3cncn3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(NC3CN(C(=O)C4CC4)C3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ncc4cccn4n3)nc21; [None]; [None]; [0]
 COc1cc(-c2ncc3ncn(C(C)C)c3n2)ccc1N1CCOCC1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc4ccccn4n3)nc21; [None]; [None]; [0]
@@ -58500,14 +33333,19 @@ COc1ccc2cccc(-c3ncc4ncn(C(C)C)c4n3)c2c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc4ccc(O)cc34)nc21; [None]; [None]; [0]
 COc1cc(F)c(-c2ncc3ncn(C(C)C)c3n2)cc1OC; [None]; [None]; [0]
 COc1cc(-c2ncc3ncn(C(C)C)c3n2)ccc1Cl; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cnn(CCO)c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ncc(Cl)cn3)nc21; [None]; [None]; [0]
 Cc1csc2c(-c3ncc4ncn(C(C)C)c4n3)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2ncc3ncn(C(C)C)c3n2)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2ncc3ncn(C(C)C)c3n2)nn1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc(N)nc4[nH]ccc34)nc21; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ncc3ncn(C(C)C)c3n2)nc1; [None]; [None]; [0]
 COc1cc(-c2ncc3ncn(C(C)C)c3n2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(Cc3ccc(C(N)=O)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(Cc3ccc(S(=O)(=O)CCO)cc3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(NC(=O)c3ccco3)nc21; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2ncc3ncn(C(C)C)c3n2)CC1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2ncc3ncn(C(C)C)c3n2)CC1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)nc21; [None]; [None]; [0]
@@ -58515,30 +33353,33 @@ COc1cc(OC)cc(-c2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1ncc3ncn(C(C)C)c3n1)cn2C; [None]; [None]; [0]
 COc1ccc2oc(-c3ncc4ncn(C(C)C)c4n3)cc2c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc4cn[nH]c4c3)nc21; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-c2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(C[NH+](C)C)cc3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(NC(=O)c3ccc(C(C)(C)C)cc3)nc21; [None]; [None]; [0]
+CCn1cc(-c2ncc3ncn(C(C)C)c3n2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc(-c4cccnc4)ccn3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc4ccccc4o3)nc21; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cc(Br)cn3C)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ncc4sccc4n3)nc21; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3ccc(C(=O)N4CCC[C@@H]4C)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(NC(=O)N4CCCC4)c3)nc21; [None]; [None]; [0]
 COc1ccc2nc(-c3ncc4ncn(C(C)C)c4n3)[nH]c2c1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(OC(F)(F)F)cc3)nc21; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cn(C)c4ccccc34)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc4ccc(C(C)(C)O)cc4[nH]3)nc21; [None]; [None]; [0]
 CCc1cccc(-c2ncc3ncn(C(C)C)c3n2)n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ncn4c3CCCC4)nc21; [None]; [None]; [0]
 Cc1cc(-c2ncc3ncn(C(C)C)c3n2)cc(C)c1OCCO; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccc4c(cnn4C)c3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccc4c(c3)c(Cl)nn4C)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(N(C)C)nc3)nc21; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3ncc4ncn(C(C)C)c4n3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3ncc4ncn(C(C)C)c4n3)cn2)CC1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(N4CCCC4=O)c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(CCO)cc3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3ccc(C(=O)N(C)C)cc3Cl)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(NC(=O)c3cccc(OC(F)(F)F)c3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccc(C(=O)N(C)C)cc3Cl)nc21; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3ncc4ncn(C(C)C)c4n3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
@@ -58547,6 +33388,11 @@ COc1cc(N2CCNCC2)ccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ncc3ncn(C(C)C)c3n2)c(OC)c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc(C(C)(C)O)n(C)n3)nc21; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccc(C(=O)N(C)C)cn3)nc21; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(Nc3ccc(F)cn3)nc21; [None]; [None]; [0]
+Cc1cc(Nc2ncc3ncn(C(C)C)c3n2)ncc1F; [None]; [None]; [0]
+CC(C)n1cnc2cnc(Nc3ccccn3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc(S(C)(=O)=O)ccc3Cl)nc21; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
@@ -58555,22 +33401,22 @@ CCOc1ccccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 COC(C)(C)CCc1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2ncc3ncn(C(C)C)c3n2)[nH]1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccccc3S(=O)(=O)C(C)C)nc21; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(Cc3cc(F)cc(F)c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccccc3P(C)(C)=O)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccnc4ccccc34)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(C(F)(F)F)c3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3ccccc3Br)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccccc3OC(F)(F)F)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccccc3C(=O)[O-])nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccccc3C(N)=O)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cnn(Cc4ccccc4)c3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccc4ncn(C)c(=O)c4c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cnc(-c4ccccc4)[nH]3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc([C@@H](N)c3ccco3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3cnn(CCO)c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3csc(C(C)(C)C)n3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(NC(=O)c4ccccc4)c3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-n3ncc4cccc(F)c4c3=O)nc21; [None]; [None]; [0]
 COc1cnc(-c2ncc3ncn(C(C)C)c3n2)nc1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cc(Cl)ccc3Cl)nc21; [None]; [None]; [0]
+CC(C)C(=O)COc1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 Cc1ccc(-c2ncc3ncn(C(C)C)c3n2)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cnc4ccccn34)nc21; [None]; [None]; [0]
@@ -58578,32 +33424,49 @@ CNc1nc(C)c(-c2ncc3ncn(C(C)C)c3n2)s1; [None]; [None]; [0]
 Cc1nc(N)sc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3c(Cl)cccc3Cl)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(Cn4cncn4)c3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cccc(Br)c3)nc21; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(NCc3cccnc3)nc21; [None]; [None]; [0]
 Cc1c(-c2ncc3ncn(C(C)C)c3n2)sc(=O)n1C; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccnc(N)n3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cnn4ncccc34)nc21; [None]; [None]; [0]
-COc1cccc(-c2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc4ccccc4c3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(Cc3ncc(C(C)(C)C)o3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(Nc3cccnc3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-n3cnc4ccccc43)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(NCCc3c[nH]cn3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(NC(=O)c3cccs3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(CC(=O)[O-])c3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3c[nH]nc3C(F)(F)F)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cccc(F)c3C(N)=O)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cncc4ccccc34)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(NCCc3ccccc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(-c4cnn(C)c4)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc4c(N)[nH]nc4c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc4c(c3)CS(=O)(=O)N4C)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3ccc4c(cnn4C)c3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3ccc(-c4cn[nH]c4)cc3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(NCc3ccc(Cl)cc3)nc21; [None]; [None]; [0]
 CCCn1cnc(-c2ncc3ncn(C(C)C)c3n2)n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(CO)c3)nc21; [None]; [None]; [0]
 COc1cc(-c2ncc3ncn(C(C)C)c3n2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(C)n1cnc2cnc(Nc3ccncc3)nc21; [None]; [None]; [0]
 CC(C)n1cc(-c2ncc3ncn(C(C)C)c3n2)nn1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(NCc3ccccc3F)nc21; [None]; [None]; [0]
 CSc1nc(-c2ncc3ncn(C(C)C)c3n2)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(CCc3c[nH]nn3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3csc4ncncc34)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cc4ccccc4[nH]3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(CCC#N)c3)nc21; [None]; [None]; [0]
-CCC(=O)Nc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cncnc3N)nc21; [None]; [None]; [0]
 CCNc1nc2ccc(-c3ncc4ncn(C(C)C)c4n3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(F)cc3C(F)(F)F)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(CCCC(N)=O)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(Oc3ccccn3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(CCNC(=O)CC(C)(C)O)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(NC(=O)c3c(Cl)cccc3Cl)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(N3CCC(S(C)(=O)=O)CC3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(OCC(C)(C)S(C)(=O)=O)nc21; [None]; [None]; [0]
 COc1ccc(-c2ncc3ncn(C(C)C)c3n2)cc1Cl; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cnn4ccccc34)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)nc21; [None]; [None]; [0]
@@ -58612,18 +33475,34 @@ CC(C)n1cnc2cnc(-c3cc[nH]c(=O)c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc4c3C(=O)CC4)nc21; [None]; [None]; [0]
 COc1cc(CCc2ncc3ncn(C(C)C)c3n2)cc(OC)c1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(C(C)(C)N)cc3)nc21; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(O[C@H](C)c3c(Cl)cncc3Cl)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc([S@](C)=O)cc3)nc21; [None]; [None]; [0]
+CCN(CC)c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc4c(=O)[nH]ccc4o3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc4c(=O)[nH]cc(Br)c4s3)nc21; [None]; [None]; [0]
+COc1ccncc1Nc1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(Nc3cnccc3-c3ccccc3)nc21; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(Nc3cnc4ccccc4c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3c[nH]c4cnccc34)nc21; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cnc4[nH]ccc4c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(C3(C)CCN(S(C)(=O)=O)CC3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(S(C)(=O)=O)cc3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3cccc(F)c3C(N)=O)nc21; [None]; [None]; [0]
+Cc1cc(-c2ncc3ncn(C(C)C)c3n2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(N[C@@H](C)C(=O)NCC(F)(F)F)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-n3ccc(CO)n3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-n3cnc(CCO)c3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(N[C@@H](C)C(C)(C)O)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(N[C@H](C)C(C)(C)O)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3c(F)cccc3Cl)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-n3ncc4ccccc43)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-n3ncc4c(O)cccc43)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc(-n4cncn4)cc3)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3cccnc3O)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3nc4ccc(O)cc4[nH]3)nc21; [None]; [None]; [0]
 CSc1nc(C)c(-c2ncc3ncn(C(C)C)c3n2)[nH]1; [None]; [None]; [0]
 COc1ccc(-c2ncc3ncn(C(C)C)c3n2)c(OC)c1; [None]; [None]; [0]
@@ -58637,124 +33516,509 @@ CC(C)n1cnc2cnc(CS(=O)(=O)NCc3ccccn3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cn(Cc4ccccc4)nn3)nc21; [None]; [None]; [0]
 CCc1cc(-c2ncc3ncn(C(C)C)c3n2)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2ncc3ncn(C(C)C)c3n2)nc(N)n1; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3cnc(N)s3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3nnc(N)s3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cc(C(N)=O)cn3C)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cccc(C(C)(C)O)n3)nc21; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ncc3ncn(C(C)C)c3n2)s1; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3nnc(N)s3)nc21; [None]; [None]; [0]
-COc1cccc(F)c1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(Oc3ccc(C[NH3+])cc3F)nc21; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ncc3ncn(C(C)C)c3n2)CC1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3nc4ccccc4s3)nc21; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncc4ncn(C(C)C)c4n3)c2)cc1; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)nc21; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3ncc4ncn(C(C)C)c4n3)c2)cc1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cncc(N)n3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc4ccsc34)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc4nnsc34)nc21; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3c[nH]c4cccnc34)nc21; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2ncc3ncn(C(C)C)c3n2)[nH]1; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3nc(N)c4ccccc4n3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3c[nH]c4cccnc34)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cn(CCO)cn3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3ncc4cc[nH]c4n3)nc21; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1ncc2ncn(C(C)C)c2n1; [None]; [None]; [0]
-CC(C)n1cnc2cnc(Cc3ccccc3NS(C)(=O)=O)nc21; [None]; [None]; [0]
+COc1ccc(Oc2ncc3ncn(C(C)C)c3n2)c(F)c1F; [None]; [None]; [0]
 CC(C)n1cnc2cnc([C@H]3CC[C@@](C)(O)CC3)nc21; [None]; [None]; [0]
 COc1ccc(OC)c(-c2ncc3ncn(C(C)C)c3n2)c1; [None]; [None]; [0]
-CC(C)n1cnc2cnc(-c3cccc(C(C)(C)O)n3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(-c3cccc(S(=O)(=O)N(C)C)c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cnnc(N(C)C)c3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(N3CCC(c4nc5ccccc5[nH]4)CC3)nc21; [None]; [None]; [0]
+CC(C)n1cnc2cnc(N3CC=C(c4c[nH]c5ccccc45)CC3)nc21; [None]; [None]; [0]
 CC(C)n1cnc2cnc(-c3cccc(NC(=O)C4CCNCC4)c3)nc21; [None]; [None]; [0]
+Fc1ccc(OCc2ccc3nccn3c2)cc1; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)Cc3ccc4nccn4c3)ccc12; [None]; [None]; [0]
+CN(Cc1ccc2nccn2c1)c1cccc(Cl)c1; [None]; [None]; [0]
+Cn1ncc(N)c1Cc1ccc2nccn2c1; [None]; [None]; [0]
+c1cc(NCc2ccc3nccn3c2)ccn1; [None]; [None]; [0]
+CN(Cc1ccc2nccn2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+c1ccc2c(COCc3ccc4nccn4c3)cccc2c1; [None]; [None]; [0]
+Fc1ccc(OCc2ccc3nccn3c2)c(F)c1; [None]; [None]; [0]
+Fc1ccc(COCc2ccc3nccn3c2)c(F)c1; [None]; [None]; [0]
+Fc1cccc(Cl)c1CNCc1ccc2nccn2c1; [None]; [None]; [0]
+COc1ccc(C=Cc2cnc3ccccc3c2)cc1OC; [None]; [None]; [0]
 C(=Cc1cc2c([nH]1)CCCC2)c1cnc2ccccc2c1; [None]; [None]; [0]
+O=C1Nc2ccccc2C1=Cc1cnc2ccccc2c1; [None]; [None]; [0]
+OCCn1cc(C=Cc2cnc3ccccc3c2)cn1; [None]; [None]; [0]
+Cc1[nH]c(C=Cc2cnc3ccccc3c2)c(C)c1C; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(C=Cc2cnc3ccccc3c2)cc1; [None]; [None]; [0]
+Cc1cc(C)c(C=Cc2cnc3ccccc3c2)[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccccc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+CCOc1ccccc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2[C@@H](C)c2ccc3ncccc3c2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ccccc1P(C)(C)=O; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ccnc2ccccc12; [None]; [None]; [0]
+CCn1cc([C@@H](C)c2ccc3ncccc3c2)cn1; [None]; [None]; [0]
+C[C@H](c1cccc(C(F)(F)F)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ccccc1OC(F)(F)F; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ccccc1C(=O)[O-]; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ccccc1C(N)=O; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cnn(CCO)c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1csc(C(C)(C)C)n1; [None]; [None]; [0]
+C[C@H](c1cccc(NC(=O)c2ccccc2)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
 C[C@@H](c1ccc2ncccc2c1)n1ncc2cccc(F)c2c1=O; [None]; [None]; [0]
+COc1cnc([C@@H](C)c2ccc3ncccc3c2)nc1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cc(Cl)ccc1Cl; [None]; [None]; [0]
+Cc1ccc([C@@H](C)c2ccc3ncccc3c2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cnc2ccccn12; [None]; [None]; [0]
+Cc1nc(C)c([C@@H](C)c2ccc3ncccc3c2)s1; [None]; [None]; [0]
+CNc1nc(C)c([C@@H](C)c2ccc3ncccc3c2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cnc2cccnn12; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+C[C@H](c1cccc(Cn2cncn2)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@H](c1cccc(Br)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+Cc1ccc(Cl)c([C@@H](C)c2ccc3ncccc3c2)c1; [None]; [None]; [0]
 Cc1c([C@@H](C)c2ccc3ncccc3c2)sc(=O)n1C; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ccnc(N)n1; [None]; [None]; [0]
 C[C@@H](c1ccc2ncccc2c1)c1cnn2ncccc12; [None]; [None]; [0]
+C[C@H](c1ccc2ccccc2c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)n1cnc2ccccc21; [None]; [None]; [0]
+C[C@H](c1cccc(CC(=O)[O-])c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1c[nH]nc1C(F)(F)F; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cccc(F)c1C(N)=O; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cncc2ccccc12; [None]; [None]; [0]
+C[C@H](c1ccc(-c2cnn(C)c2)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
 C[C@H](c1ccc2c(c1)CS(=O)(=O)N2C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ccc2c(cnn2C)c1; [None]; [None]; [0]
+C[C@H](c1ccc(-c2cn[nH]c2)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
+CCCn1cnc([C@@H](C)c2ccc3ncccc3c2)n1; [None]; [None]; [0]
+C[C@H](c1cccc(O)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@H](c1cccc(CO)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
 COc1cc([C@@H](C)c2ccc3ncccc3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)n1cc([C@@H](C)c2ccc3ncccc3c2)nn1; [None]; [None]; [0]
+CSc1nc([C@@H](C)c2ccc3ncccc3c2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1csc2ncncc12; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cc2ccccc2[nH]1; [None]; [None]; [0]
+C[C@H](c1cccc(CCC#N)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cncnc1N; [None]; [None]; [0]
+CCNc1nc2ccc([C@@H](C)c3ccc4ncccc4c3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc([C@@H](C)c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
+CC(=O)Nc1cccc([C@@H](C)c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cn(C)c2ccccc12; [None]; [None]; [0]
+COc1ccc([C@@H](C)c2ccc3ncccc3c2)cc1Cl; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cnn2ccccc12; [None]; [None]; [0]
 C[C@H](c1ccc(C[NH3+])c(C(F)(F)F)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+CCCn1cc([C@@H](C)c2ccc3ncccc3c2)cn1; [None]; [None]; [0]
+C[C@H](c1cc[nH]c(=O)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cccc2c1C(=O)CC2; [None]; [None]; [0]
+C[C@H](c1ccc(C(C)(C)N)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@H](c1ccc([S@](C)=O)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
 C[C@@H](c1ccc2ncccc2c1)c1cc2c(=O)[nH]cc(Br)c2s1; [None]; [None]; [0]
+CC(C)Oc1cncc([C@@H](C)c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+C[C@H](c1ccc(C(C)(C)C)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
+COc1cccc(F)c1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1c[nH]c2cnccc12; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cnc2[nH]ccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@H](c1ccc(S(=O)(=O)NC(C)(C)C)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc([C@@H](C)c2ccc3ncccc3c2)cc1; [None]; [None]; [0]
+C[C@H](c1ccc(N2CCOCC2)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@H](c1ccc(S(C)(=O)=O)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
+Cc1cc([C@@H](C)c2ccc3ncccc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)n1ccc(CO)n1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)n1cnc(CCO)c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1c(F)cccc1Cl; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)n1ncc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)n1ncc2c(O)cccc21; [None]; [None]; [0]
+C[C@H](c1ccc(-n2cncn2)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+CSc1nc(C)c([C@@H](C)c2ccc3ncccc3c2)[nH]1; [None]; [None]; [0]
+COc1ccc([C@@H](C)c2ccc3ncccc3c2)c(OC)c1; [None]; [None]; [0]
+C[C@H](c1ccc(C(=O)c2ccccc2)cc1)c1ccc2ncccc2c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H]([C@@H](C)c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1nncn1C1CC1; [None]; [None]; [0]
 C[C@@H](c1ccc2ncccc2c1)c1ccn(CC[NH3+])n1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+CCc1cc([C@@H](C)c2ccc3ncccc3c2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc([C@@H](C)c2ccc3ncccc3c2)nc(N)n1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1nnc(N)s1; [None]; [None]; [0]
 C[C@@H](c1ccc2ncccc2c1)c1cc(C(N)=O)cn1C; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cccc(C(C)(C)O)n1; [None]; [None]; [0]
+CNC(=O)c1ccc([C@@H](C)c2ccc3ncccc3c2)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC([C@@H](C)c2ccc3ncccc3c2)CC1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1nc2ccccc2s1; [None]; [None]; [0]
 C[C@@H](c1ccc2ncccc2c1)c1ccc2c(n1)NC(=O)C(C)(C)O2; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc([C@@H](C)c3ccc4ncccc4c3)c2)cc1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cncc(N)n1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cccc2ccsc12; [None]; [None]; [0]
 C[C@@H](c1ccc2ncccc2c1)c1cccc2nnsc12; [None]; [None]; [0]
-C[C@@H](c1ccc2ncccc2c1)c1cccc(C(C)(C)O)n1; [None]; [None]; [0]
-C[C@H](c1cccc(NC(=O)C2CCNCC2)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc([C@@H](C)c2ccc3ncccc3c2)[nH]1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ncc2ccccc2n1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1c[nH]c2cccnc12; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1cn(CCO)cn1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@@H](c1ccc2ncccc2c1)[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
+COc1ccc(OC)c([C@@H](C)c2ccc3ncccc3c2)c1; [None]; [None]; [0]
+COc1ncccc1[C@@H](C)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@H](c1cccc(S(=O)(=O)N(C)C)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+C[C@H](c1cnnc(N(C)C)c1)c1ccc2ncccc2c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+COc1ncccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+COc1cc(-c2cccc(NC(=O)O)c2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cccc(NC(=O)O)c3)c2c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc(O)c2)c1; [None]; [None]; [0]
+COc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc(NC(=O)C3CC3)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cccc(NC(=O)O)c3)cc2)CC1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2nccc3ccccc23)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(Nc2ncccn2)c1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cccc(NC(=O)O)c3)cn2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(C(=O)Nc3ccccc3)cc2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(OCCO)cc2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(C(=O)N3CCOCC3)cc2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
 O=C(O)Nc1cccc(-c2ccc3c(c2)CS(=O)(=O)C3)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(C(F)(F)F)cc2)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(Cc2ccccc2O)c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cccc(NC(=O)O)c2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
+Nc1ncc(Cc2cccc(NC(=O)O)c2)cn1; [None]; [None]; [0]
+O=C(O)Nc1cccc([C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
 CC(C)c1cc(-c2cccc(NC(=O)O)c2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cccc(NC(=O)O)c3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cccc(NC(=O)O)c2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(Br)cc2)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc(NC(=O)O)c2)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cc2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccn3nccc3n2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)c(C)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccccc2-n2cccn2)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cccc(NC(=O)O)c2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cccc(NC(=O)O)c3)[nH]c2c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc3c(c2)CCO3)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+COc1cc(-c2cccc(NC(=O)O)c2)ccc1O; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc3c2OCO3)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2scc3c2OCCO3)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(Cc2nc3ccc(F)c(F)c3[nH]2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(Cc2nc3c(F)c(F)ccc3[nH]2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cnc3ccccc3c2)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc(NC(=O)O)c2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
+O=C(O)Nc1cccc(Cc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+Nc1nc(-c2cccc(NC(=O)O)c2)cs1; [None]; [None]; [0]
+Cc1ccc(-c2cccc(NC(=O)O)c2)c(=O)[nH]1; [None]; [None]; [0]
+O=C(O)Nc1cccc(CCCc2ccccc2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccn(-c3cccc(Cl)c3)n2)c1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cc3ccccc3s2)c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cccc(NC(=O)O)c3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2cccc(NC(=O)O)c2)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc([C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(F)cc2Cl)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc3c(c2)CCC(=O)N3)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ncc(Br)cn2)c1; [None]; [None]; [0]
+COc1ccc(-c2cccc(NC(=O)O)c2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(Cl)cc2Cl)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(CCCn2cncn2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
+COc1cc(-c2cccc(NC(=O)O)c2)ccc1N1CCOCC1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
+Cn1cc(-c2cccc(NC(=O)O)c2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cccc(NC(=O)O)c3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cccc(NC(=O)O)c3)c2c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cccc(NC(=O)O)c2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2cccc(NC(=O)O)c2)ccc1Cl; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cnn(CCO)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ncc(Cl)cn2)c1; [None]; [None]; [0]
+Cc1csc2c(-c3cccc(NC(=O)O)c3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
 Nc1cc(-c2cccc(NC(=O)O)c2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc(NC(=O)O)c2)nc1; [None]; [None]; [0]
+COc1cc(-c2cccc(NC(=O)O)c2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
 O=C(O)Nc1cccc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cccc(NC(=O)O)c1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cccc(NC(=O)O)c3)cc2c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc3cn[nH]c3c2)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CCn1cc(-c2cccc(NC(=O)O)c2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cc3ccccc3o2)c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
+COc1ccc2nc(-c3cccc(NC(=O)O)c3)[nH]c2c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(OC(F)(F)F)cc2)c1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
-O=C(O)Nc1cccc(-c2ncn3c2CCCC3)c1; [None]; [None]; [0]
+Cn1cc(-c2cccc(NC(=O)O)c2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cccc(NC(=O)O)c3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ncn3c2CCCC3)c1; [None]; [None]; [0]
+Cc1cc(-c2cccc(NC(=O)O)c2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3cccc(NC(=O)O)c3)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cccc(NC(=O)O)c3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc(NC(=O)O)c2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cccc(NC(=O)O)c3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cccc(NC(=O)O)c3)cn2)CC1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc(N3CCCC3=O)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(CCO)cc2)c1; [None]; [None]; [0]
 O=C(O)Nc1cccc(NC(=O)c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc(NC(=O)O)c2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cccc(NC(=O)O)c3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc(NC(=O)O)c2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cccc(NC(=O)O)c2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc(NC(=O)O)c2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+COC(C)(C)CCc1cccc(NC(=O)O)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc(NC(=O)O)c2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(Cc2cc(F)cc(F)c2)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccnc3ccccc23)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccccc2OC(F)(F)F)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccccc2C(=O)[O-])c1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cnn(Cc3ccccc3)c2)c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc(NC(=O)O)c3)cc2c1=O; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cccc(NC(=O)O)c2)cs1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc(NC(=O)c3ccccc3)c2)c1; [None]; [None]; [0]
 O=C(O)Nc1cccc(-n2ncc3cccc(F)c3c2=O)c1; [None]; [None]; [0]
+COc1cnc(-c2cccc(NC(=O)O)c2)nc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cc(Cl)ccc2Cl)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1cccc(NC(=O)O)c1; [None]; [None]; [0]
+Cc1ccc(-c2cccc(NC(=O)O)c2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cccc(NC(=O)O)c2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc(Br)c2)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(NCc2cccnc2)c1; [None]; [None]; [0]
 Cc1c(-c2cccc(NC(=O)O)c2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
 O=C(O)Nc1cccc(-c2cnn3ncccc23)c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccc(NC(=O)O)c2)o1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(Nc2cccnc2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-n2cnc3ccccc32)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(NCCc2c[nH]cn2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(NC(=O)c2cccs2)c1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2c[nH]nc2C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cncc3ccccc23)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(NCCc2ccccc2)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cccc(NC(=O)O)c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cccc(NC(=O)O)c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cccc(NC(=O)O)c3)cc2CS1(=O)=O; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(-c3cn[nH]c3)cc2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(NCc2ccc(Cl)cc2)c1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc(CO)c2)c1; [None]; [None]; [0]
 COc1cc(-c2cccc(NC(=O)O)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+O=C(O)Nc1cccc(Nc2ccncc2)c1; [None]; [None]; [0]
 CC(C)n1cc(-c2cccc(NC(=O)O)c2)nn1; [None]; [None]; [0]
+O=C(O)Nc1cccc(NCc2ccccc2F)c1; [None]; [None]; [0]
+CSc1nc(-c2cccc(NC(=O)O)c2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
 O=C(O)Nc1cccc(CCc2c[nH]nn2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2csc3ncncc23)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cc3ccccc3[nH]2)c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+Nc1ncncc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cccc(NC(=O)O)c3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(F)cc2C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(Oc2ccccn2)c1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cccc(NC(=O)O)c1; [None]; [None]; [0]
-CC(C)(COc1cccc(NC(=O)O)c1)S(C)(=O)=O; [None]; [None]; [0]
 O=C(O)Nc1cccc(NC(=O)c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
+CC(C)(COc1cccc(NC(=O)O)c1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cccc(NC(=O)O)c2)cc1Cl; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2cccc(NC(=O)O)c2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2cccc(NC(=O)O)c2)cn1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cc[nH]c(=O)c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc3c2C(=O)CC3)c1; [None]; [None]; [0]
+COc1cc(CCc2cccc(NC(=O)O)c2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
 C[C@@H](Oc1cccc(NC(=O)O)c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CCN(CC)c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cc3c(=O)[nH]ccc3o2)c1; [None]; [None]; [0]
 O=C(O)Nc1cccc(-c2cc3c(=O)[nH]cc(Br)c3s2)c1; [None]; [None]; [0]
-CN(c1cccc(NC(=O)O)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+COc1ccncc1Nc1cccc(NC(=O)O)c1; [None]; [None]; [0]
 O=C(O)Nc1cccc(Nc2cnccc2-c2ccccc2)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(Nc2cnc3ccccc3c2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
+CC1(c2cccc(NC(=O)O)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CN(c1cccc(NC(=O)O)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cccc(NC(=O)O)c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2cccc(NC(=O)O)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cccc(NC(=O)O)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+O=C(O)Nc1cccc(-n2ccc(CO)n2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-n2cnc(CCO)c2)c1; [None]; [None]; [0]
+C[C@H](Nc1cccc(NC(=O)O)c1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cccc(NC(=O)O)c1)C(C)(C)O; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2c(F)cccc2Cl)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-n2ncc3ccccc32)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-n2ncc3c(O)cccc32)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc(NC(=O)O)c2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cccc(NC(=O)O)c2)c(OC)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ccc(C(=O)c3ccccc3)cc2)c1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
 O=C(O)Nc1cccc(Cc2nnc3ccc(-c4ccccc4)nn23)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(CCC(=O)NCc2ccccn2)c1; [None]; [None]; [0]
 O=C(O)Nc1cccc(CS(=O)(=O)NCc2ccccn2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
+CCc1cc(-c2cccc(NC(=O)O)c2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc(NC(=O)O)c2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cccc(NC(=O)O)c2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc(NC(=O)O)c2)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cccc(NC(=O)O)c2)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cccc(NC(=O)O)c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc(NC(=O)O)c3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cccc3ccsc23)c1; [None]; [None]; [0]
 O=C(O)Nc1cccc(-c2cccc3nnsc23)c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc(NC(=O)O)c2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cccc(NC(=O)O)c2)nc2ccccc12; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2cn(CCO)cn2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc(NC(=O)O)c1; [None]; [None]; [0]
 COc1ccc(Oc2cccc(NC(=O)O)c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccc(NC(=O)O)c2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cccc(NC(=O)O)c2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccc(NC(=O)O)c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc(NC(=O)O)c2)cnn1; [None]; [None]; [0]
+O=C(O)Nc1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; [None]; [None]; [0]
+O=C(O)Nc1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; [None]; [None]; [0]
 O=C(O)Nc1cccc(-c2cccc(NC(=O)C3CCNCC3)c2)c1; [None]; [None]; [0]
-COc1cnc2ccc(-c3ccc(O)cc3)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3cccc(O)c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cccc4ncccc34)cc2c1; [None]; [None]; [0]
-CCc1ccc(-c2ccc3ncc(OC)cc3c2)cc1; [None]; [None]; [0]
+COc1cnc2ccc(-c3c(Cl)ccc4c3OCO4)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(Cl)c(O)c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3n[nH]c4ccccc34)cc2c1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2ccc3ncc(OC)cc3c2)cc1; [None]; [None]; [0]
 COc1cnc2ccc(-c3c(Cl)cccc3Cl)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(-c3nc4ccccc4n3C)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(Oc3ccc(F)cc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(C(N)=O)cc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(C(N)=O)cc3F)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(O)cc3Cl)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3ccc(C(N)=O)cc3OC)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3ccc(O)cc3F)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccnc(N)n3)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3cc(F)ccc3OC)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3cc(F)c4nc(C)[nH]c4c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cn[nH]c3Cl)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3ccc(F)cc3OC)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(O)c(OC)c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(C(=O)[O-])cc3)cc2c1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2ccc3ncc(OC)cc3c2)o1; [None]; [None]; [0]
 COc1cnc2ccc(CCc3ccc(O)c(OC)c3)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(COc3cccc(Cl)c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cccc(Br)c3)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3ccc4ccccc4c3)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3ccc(O)c(F)c3)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3cn(C)c4ccccc34)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(O)cc3O)cc2c1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2ccc3ncc(OC)cc3c2)c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cnn4ncccc34)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3c[nH]c4cnccc34)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3ccnc(N)c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(COc3ccccc3Cl)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(F)c(Cl)c3)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc([C@H](CO)c3ccccc3)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(CCc3ccc(Cl)cc3)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(-c3cc(O)ccc3C)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3c(C)ccc4[nH]ncc34)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cc(O)ccc3Cl)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(-c3c(Cl)ccc4c3OCO4)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cc(CO)ccc3C)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cnc(O)c(Cl)c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3c[nH]c(C(N)=O)c3)cc2c1; [None]; [None]; [0]
@@ -58762,6 +34026,8 @@ COc1cc(OC)cc(-c2ccc3ncc(OC)cc3c2)c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(OC)c(OC)c3)cc2c1; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3ccc4ncc(OC)cc4c3)ccc12; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc4nc(C)[nH]c4c3)cc2c1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3ncc(OC)cc3c2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc3ncc(OC)cc3c2)cc(OC)c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(NC(N)=O)cc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cnc4[nH]ccc4c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(S(C)(=O)=O)cc3)cc2c1; [None]; [None]; [0]
@@ -58773,146 +34039,726 @@ CNc1nccc(-c2ccc3ncc(OC)cc3c2)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1ccc2ncc(OC)cc2c1; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1ccc2ncc(OC)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(N(C)c3ccc4c(C)n[nH]c4c3)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(N(C)c3cccc(Cl)c3)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3[nH]nc(C)c3C)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(O)cc3C)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3cc(C(F)F)n[nH]3)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(N(C)c3cccc(Cl)c3)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3ccncc3Cl)cc2c1; [None]; [None]; [0]
 CCc1sccc1-c1ccc2ncc(OC)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cc(Cl)c(O)c(Cl)c3)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(-c3cc(O)n4nccc4n3)cc2c1; [None]; [None]; [0]
+CNc1nc(-c2ccc3ncc(OC)cc3c2)ncc1F; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc4c(c3)CCN4)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3cc(O)n4nccc4n3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cc(C(=O)[O-])c(C)o3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3c(N)cnn3C)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(Nc3ccncc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(Br)cc3F)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3[nH]nc4ccc(F)cc34)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(-c3[nH]nc(C)c3C)cc2c1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ccc3ncc(OC)cc3c2)cc1; [None]; [None]; [0]
-COc1cnc2ccc(-c3cc(O)cc(Br)c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(N(C)c3cccc4[nH]ncc34)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3cc(O)cc(Br)c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(C(=O)NC4CC4)cc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc(C(N)=O)c(C)c3)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(-c3cc(F)c(O)c(F)c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc4nc(C)oc4c3)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3cc(C)c(O)c(C)c3)cc2c1; [None]; [None]; [0]
+COc1cnc2ccc(-c3cc(F)c(O)c(F)c3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cccc(SC)c3)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(OCc3ccccc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(CCc3c[nH]c4ccccc34)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(OCc3cccc4ccccc34)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3ocnc3-c3ccc(F)cc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(Oc3ccc(F)cc3F)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3c(-c4ccccc4)noc3C)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(Oc3ccccc3F)cc2c1; [None]; [None]; [0]
-COc1cnc2ccc(-c3ccc(F)cc3Cl)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(OCc3ccc(F)cc3F)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(CCc3ccc(F)cc3F)cc2c1; [None]; [None]; [0]
 COc1cnc2ccc(NCc3c(F)cccc3Cl)cc2c1; [None]; [None]; [0]
-COc1ccc(-n2ncc3cccc(F)c3c2=O)cc1; [None]; [None]; [0]
-COc1ccc(-c2sc(=O)n(C)c2C)cc1; [None]; [None]; [0]
-COc1ccc(-c2cnn3ncccc23)cc1; [None]; [None]; [0]
-COc1ccc(Cc2ncc(C(C)(C)C)o2)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(c2)CS(=O)(=O)N3C)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(C(=O)[O-])c(OC)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cn(C(C)C)nn2)cc1; [None]; [None]; [0]
-COc1ccc(CCc2c[nH]nn2)cc1; [None]; [None]; [0]
-COc1ccc(CCNC(=O)CC(C)(C)O)cc1; [None]; [None]; [0]
-COc1ccc(NC(=O)c2c(Cl)cccc2Cl)cc1; [None]; [None]; [0]
-COc1ccc(OCC(C)(C)S(C)(=O)=O)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)cc1; [None]; [None]; [0]
-COc1ccc(O[C@H](C)c2c(Cl)cncc2Cl)cc1; [None]; [None]; [0]
-COc1ccc(-c2cc3c(=O)[nH]cc(Br)c3s2)cc1; [None]; [None]; [0]
-COc1ccc(Nc2cnccc2-c2ccccc2)cc1; [None]; [None]; [0]
-COc1ccc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)cc1; [None]; [None]; [0]
-COc1ccc(N[C@@H](C)C(=O)NCC(F)(F)F)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccn(CC[NH3+])n2)cc1; [None]; [None]; [0]
-COc1ccc(Cc2nnc3ccc(-c4ccccc4)nn23)cc1; [None]; [None]; [0]
-COc1ccc(CS(=O)(=O)NCc2ccccn2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cc(C(N)=O)cn2C)cc1; [None]; [None]; [0]
-COc1ccc(Oc2ccc(C[NH3+])cc2F)cc1; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)cc1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(OC)cc3)c2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cccc3nnsc23)cc1; [None]; [None]; [0]
-COc1ccc(Oc2ccc(OC)c(F)c2F)cc1; [None]; [None]; [0]
-COc1ccc(-c2cccc(C(C)(C)O)n2)cc1; [None]; [None]; [0]
-COc1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc(O)ccn1; [None]; [None]; [0]
+CCOc1ccccc1-c1cc(O)ccn1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cc(O)ccn2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(O)ccn1; [None]; [None]; [0]
+COc1ccc(F)cc1[C@@H](C)c1cc(O)ccn1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2ccnc3ccccc23)c1; [None]; [None]; [0]
+CCn1cc(-c2cc(O)ccn2)cn1; [None]; [None]; [0]
+Oc1ccnc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+Oc1ccnc(-c2ccccc2OC(F)(F)F)c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cc(O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2cnn(Cc3ccccc3)c2)c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc(O)ccn3)cc2c1=O; [None]; [None]; [0]
+Oc1ccnc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+N[C@H](c1cc(O)ccn1)c1ccco1; [None]; [None]; [0]
+OCCn1cc(-c2cc(O)ccn2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(O)ccn2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(O)ccn2)c1)c1ccccc1; [None]; [None]; [0]
+COc1cnc(-c2cc(O)ccn2)nc1; [None]; [None]; [0]
+Oc1ccnc(-c2cc(Cl)ccc2Cl)c1; [None]; [None]; [0]
+Cc1ccc(-c2cc(O)ccn2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc(O)ccn2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc(O)ccn2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+Oc1ccnc(-c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+Oc1ccnc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
+Oc1ccnc(-c2cccc(Br)c2)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+Cc1c(-c2cc(O)ccn2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cc(O)ccn2)n1; [None]; [None]; [0]
+Oc1ccnc(-c2cnn3ncccc23)c1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+CC(C)(C)c1cnc(Cc2cc(O)ccn2)o1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+Oc1ccnc(-c2c[nH]nc2C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2cncc3ccccc23)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cc(O)ccn3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cc(O)ccn3)ccc12; [None]; [None]; [0]
+CN1c2ccc(-c3cc(O)ccn3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(O)ccn3)ccc21; [None]; [None]; [0]
+Oc1ccnc(-c2ccc(-c3cn[nH]c3)cc2)c1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(O)ccn2)n1; [None]; [None]; [0]
+Oc1cccc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+OCc1cccc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+COc1cc(-c2cc(O)ccn2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(C)n1cc(-c2cc(O)ccn2)nn1; [None]; [None]; [0]
+CSc1nc(-c2cc(O)ccn2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2csc3ncncc23)c1; [None]; [None]; [0]
+Oc1ccnc(-c2cc3ccccc3[nH]2)c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+Nc1ncncc1-c1cc(O)ccn1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cc(O)ccn3)cc2s1; [None]; [None]; [0]
+CC[C@H](CO)c1cc(O)ccn1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc(F)cc2C(F)(F)F)c1; [None]; [None]; [0]
+Oc1ccnc(Cc2c(F)cccc2F)c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+Cn1cc(-c2cc(O)ccn2)c2ccccc21; [None]; [None]; [0]
+COc1ccc(-c2cc(O)ccn2)cc1Cl; [None]; [None]; [0]
+Oc1ccnc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2cc(O)ccn2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2cc(O)ccn2)cn1; [None]; [None]; [0]
+O=c1cc(-c2cc(O)ccn2)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cc(O)ccn3)c21; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Cc2cc(O)ccn2)c1; [None]; [None]; [0]
+CN(c1ncccc1Cc1cc(O)ccn1)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc(O)ccn1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cc(O)ccn3)cc12; [None]; [None]; [0]
+O=c1[nH]cc(Br)c2sc(-c3cc(O)ccn3)cc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+OC[C@H](c1ccccc1)c1cc(O)ccn1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cc(O)ccn1; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
+CC1(c2cc(O)ccn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Cc1cc(-c2cc(O)ccn2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Oc1ccnc(-c2c(F)cccc2Cl)c1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc(O)ccn2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cc(O)ccn2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(O)ccn2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cc(O)ccn2)n1; [None]; [None]; [0]
+Oc1ccnc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
+CCc1cc(-c2cc(O)ccn2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(O)ccn2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cc(O)ccn2)s1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1cc(O)ccn1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(O)ccn2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(O)ccn2)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(O)ccn2)CC1; [None]; [None]; [0]
+Oc1ccnc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cc(O)ccn3)nc2NC1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(O)ccn3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cc(O)ccn2)n1; [None]; [None]; [0]
+Oc1ccnc(-c2cccc3ccsc23)c1; [None]; [None]; [0]
+Oc1ccnc(-c2cccc3nnsc23)c1; [None]; [None]; [0]
+O=C(NCCCc1cc(O)ccn1)c1cccs1; [None]; [None]; [0]
+O=C(NCCCc1cc(O)ccn1)C1CCC1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(O)ccn2)[nH]1; [None]; [None]; [0]
+Oc1ccnc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+Oc1ccnc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+OCCn1cnc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+Oc1ccnc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc(O)ccn1; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1Cc1cc(O)ccn1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cc(O)ccn2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cc(O)ccn1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(O)ccn2)cnn1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cc(O)ccn1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+COc1cc(-c2cc(O)ccn2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cc(O)ccn3)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+COc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(O)ccn2)c1)C1CC1; [None]; [None]; [0]
+Oc1ccnc(-c2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(O)ccn3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2cc(O)ccn2)sn1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(-c2nccc3ccccc23)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2ncccn2)c1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cc(O)ccn3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(-c2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
+O=C(c1ccc(-c2cc(O)ccn2)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2cc(O)ccn2)nc1)N1CCOCC1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccncn2)c1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(-c3cc(O)ccn3)cc2C1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc(C(F)(F)F)cc2)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cc(O)ccn2)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2cc(O)ccn2)C1; [None]; [None]; [0]
+CC(C)c1cc(-c2cc(O)ccn2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3cc(O)ccn3)c2)CC1; [None]; [None]; [0]
+CCCOc1ccc(-c2cc(O)ccn2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc(Br)cc2)c1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(O)ccn2)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(-c2ccn3nccc3n2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(O)ccn2)c(C)c1; [None]; [None]; [0]
+Oc1ccnc(-c2ccccc2-n2cccn2)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cc(O)ccn2)cc1Cl; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3cc(O)ccn3)[nH]c2c1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc3c(c2)CCO3)c1; [None]; [None]; [0]
+Oc1ccnc(-c2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(O)ccn1; [None]; [None]; [0]
+COc1cc(-c2cc(O)ccn2)ccc1O; [None]; [None]; [0]
+Oc1ccnc(-c2cccc3c2OCO3)c1; [None]; [None]; [0]
+Oc1ccnc(-c2scc3c2OCCO3)c1; [None]; [None]; [0]
+Oc1ccnc(-c2cnc3ccccc3c2)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(O)ccn2)cn1; [None]; [None]; [0]
+Nc1nc(-c2cc(O)ccn2)cs1; [None]; [None]; [0]
+Oc1ccnc(-c2ccn(-c3cccc(Cl)c3)n2)c1; [None]; [None]; [0]
+CC1(COc2cc(O)ccn2)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(-c2cc3ccccc3s2)c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cc(O)ccn3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2cc(O)ccn2)nc(N)n1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc(F)cc2Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3cc(O)ccn3)ccc2N1; [None]; [None]; [0]
+Oc1ccnc(-c2ncc(Br)cn2)c1; [None]; [None]; [0]
+COc1ccc(-c2cc(O)ccn2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+COc1ccc(CNc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc(Cl)cc2Cl)c1; [None]; [None]; [0]
+O=C(C1CC1)N1CC(Nc2cc(O)ccn2)C1; [None]; [None]; [0]
+Oc1ccnc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
+COc1cc(-c2cc(O)ccn2)ccc1N1CCOCC1; [None]; [None]; [0]
+Oc1ccnc(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
+Cn1cc(-c2cc(O)ccn2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cc(O)ccn3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cc(O)ccn3)c2c1; [None]; [None]; [0]
+Oc1ccnc(-c2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cc(O)ccn2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2cc(O)ccn2)ccc1Cl; [None]; [None]; [0]
+Oc1ccnc(-c2ncc(Cl)cn2)c1; [None]; [None]; [0]
+Cc1csc2c(-c3cc(O)ccn3)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2cc(O)ccn2)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2cc(O)ccn2)nn1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Nc1cc(-c2cc(O)ccn2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(O)ccn2)nc1; [None]; [None]; [0]
+COc1cc(-c2cc(O)ccn2)c(OC)cc1Br; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1cc(O)ccn1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cc(O)ccn2)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cc(O)ccn2)cc1; [None]; [None]; [0]
+O=C(Nc1cc(O)ccn1)c1ccco1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cc(O)ccn2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cc(O)ccn2)CC1; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cc(O)ccn1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cc(O)ccn3)cc2c1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc3cn[nH]c3c2)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+Oc1ccnc(-c2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
+Oc1ccnc(-c2cc3ccccc3o2)c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cc(O)ccn1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(O)ccn2)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3cc(O)ccn3)[nH]c2c1; [None]; [None]; [0]
+Oc1ccnc(-c2ccc(OC(F)(F)F)cc2)c1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3cc(O)ccn3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2cc(O)ccn2)n1; [None]; [None]; [0]
+Oc1ccnc(-c2ncn3c2CCCC3)c1; [None]; [None]; [0]
+Cc1cc(-c2cc(O)ccn2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cc(O)ccn3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc(O)ccn2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cc(O)ccn3)ccc12; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3cc(O)ccn3)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+OCCc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+O=C(Nc1cc(O)ccn1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(O)ccn2)c(Cl)c1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3cc(O)ccn3)cc2)n1C; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1cc(O)ccn1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cc(O)ccn1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1cc(O)ccn1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cc(O)ccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(O)ccn2)c(OC)c1; [None]; [None]; [0]
+Cn1nc(-c2cc(O)ccn2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(O)ccn2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(F)cn2)c1; [None]; [None]; [0]
+Cc1cc(Nc2cc(O)ccn2)ncc1F; [None]; [None]; [0]
+Oc1ccnc(Nc2ccccn2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cc(O)ccn2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cc(O)ccn1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(O)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2cccc3ncccc23)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2c(Cl)ccc3c2OCO3)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(Cl)c(O)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2n[nH]c3ccccc23)nc1-c1ccccc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2c(Cl)cccc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(Oc2ccc(F)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(O)cc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(O)cc2F)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1nccc(-c2cnc(N)c(-c3ccccc3)n2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnc(N)c(-c4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
+Nc1ncc(-c2cn[nH]c2Cl)nc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(-c3ccc(O)cc3O)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(-c3ccccc3)n2)ccc1O; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(=O)[O-])cc2)nc1-c1ccccc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)o1; [None]; [None]; [0]
+COc1cc(CCc2cnc(N)c(-c3ccccc3)n2)ccc1O; [None]; [None]; [0]
+Nc1ncc(-c2cccc(Br)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3ccccc3c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(O)c(F)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Cn1cc(-c2cnc(N)c(-c3ccccc3)n2)c2ccccc21; [None]; [None]; [0]
+Nc1ncc(-c2ccc(O)cc2O)nc1-c1ccccc1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
 Nc1ncc(-c2cnn3ncccc23)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2c[nH]c3cnccc23)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1cc(-c2cnc(N)c(-c3ccccc3)n2)ccn1; [None]; [None]; [0]
+Nc1ncc(COc2ccccc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(F)c(Cl)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2[nH]cnc2-c2ccc(F)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2cc(O)ccc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2cnc(O)c(Cl)c2)nc1-c1ccccc1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cnc(N)c(-c3ccccc3)n2)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
+COc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cnc(N)c(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnc(N)c(-c4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
+COc1cc(CCc2cnc(N)c(-c3ccccc3)n2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2cnc3[nH]ccc3c2)nc1-c1ccccc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2nc3ccccc3s2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2cncc(O)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(c2)CC(=O)N3)nc1-c1ccccc1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+CNc1nccc(-c2cnc(N)c(-c3ccccc3)n2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cnc(N)c(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnc(N)c(-c3ccccc3)n2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2cc(C(F)F)n[nH]2)nc1-c1ccccc1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2ccncc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
+CCc1sccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2cc(Cl)c(O)c(Cl)c2)nc1-c1ccccc1; [None]; [None]; [0]
+CNc1nc(-c2cnc(N)c(-c3ccccc3)n2)ncc1F; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(c2)CCN3)nc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2cc(O)n3nccc3n2)nc1-c1ccccc1; [None]; [None]; [0]
 Cc1oc(-c2cnc(N)c(-c3ccccc3)n2)cc1C(=O)[O-]; [None]; [None]; [0]
+Nc1ncc(-c2ccc3[nH]c(=O)[nH]c3c2)nc1-c1ccccc1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(Nc2ccncc2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(Br)cc2F)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2[nH]nc3ccc(F)cc23)nc1-c1ccccc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
 CN(c1cnc(N)c(-c2ccccc2)n1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Nc1ncc(-c2cc(O)cc(Br)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(=O)NC3CC3)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+Cc1cc(-c2cnc(N)c(-c3ccccc3)n2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnc(N)c(-c4ccccc4)n3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2cnc(N)c(-c3ccccc3)n2)cc(C)c1O; [None]; [None]; [0]
+Nc1ncc(-c2cc(F)c(O)c(F)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(=O)[nH][nH]c3c2)nc1-c1ccccc1; [None]; [None]; [0]
+CSc1cccc(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
+Nc1ncc(CCc2c[nH]c3ccccc23)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(OCc2cccc3ccccc23)nc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(-c2ocnc2-c2ccc(F)cc2)nc1-c1ccccc1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc(N)c(-c4ccccc4)n3)cc2)CC1; [None]; [None]; [0]
+Nc1ncc(Oc2ccc(F)cc2F)nc1-c1ccccc1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2cn[nH]c2-c2ccc(Cl)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(OCc2ccc(F)cc2F)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(CCc2ccc(F)cc2F)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(NCc2c(F)cccc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2ncc3ccccc3n2)nc1-c1ccccc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+COc1ncccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(-c3ccccc3)n2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cnc(N)c(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
+Nc1ncc(-c2cnc3cccnn23)nc1-c1ccccc1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
+COc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(N3CCOCC3)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(NC(=O)C3CC3)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2nc3ccccc3[nH]2)nc1-c1ccccc1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc(N)c(-c4ccccc4)n3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2cnc(N)c(-c3ccccc3)n2)sn1; [None]; [None]; [0]
+Nc1ncc(-c2nccc3ccccc23)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(Nc2ncccn2)nc1-c1ccccc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cnc(N)c(-c4ccccc4)n3)cn2)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(=O)Nc3ccccc3)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(OCCO)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(C3CCNCC3)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(=O)N3CCOCC3)cn2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(Nc2ccncn2)nc1-c1ccccc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc3c(c2)CS(=O)(=O)C3)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(C(F)(F)F)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cnc(N)c(-c3ccccc3)n2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cnc(N)c(-c3ccccc3)n2)CC1; [None]; [None]; [0]
+Nc1ncc([C@H]2CCN(C(=O)c3ccccc3)C2)nc1-c1ccccc1; [None]; [None]; [0]
 CC(C)c1cc(-c2cnc(N)c(-c3ccccc3)n2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cnc(N)c(-c4ccccc4)n3)c2)CC1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cnc(N)c(-c4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
 CCCOc1ccc(-c2cnc(N)c(-c3ccccc3)n2)nc1; [None]; [None]; [0]
-Nc1ncc(Cc2nc3c(F)c(F)ccc3[nH]2)nc1-c1ccccc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(Br)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2ccn3nccc3n2)nc1-c1ccccc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)c(C)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccccc2-n2cccn2)nc1-c1ccccc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2c[nH]c3ccccc23)nc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cnc(N)c(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3cnc(N)c(-c4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(c2)CCO3)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2cc(-c3ccccc3)[nH]n2)nc1-c1ccccc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2cccc3c2OCO3)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2scc3c2OCCO3)nc1-c1ccccc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2cnc3ccccc3c2)nc1-c1ccccc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c(-c3ccccc3)n2)CC1; [None]; [None]; [0]
+Nc1nc(-c2cnc(N)c(-c3ccccc3)n2)cs1; [None]; [None]; [0]
+Nc1ncc(-c2ccn(-c3cccc(Cl)c3)n2)nc1-c1ccccc1; [None]; [None]; [0]
+CC1(COc2cnc(N)c(-c3ccccc3)n2)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2cc3ccccc3s2)nc1-c1ccccc1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cnc(N)c(-c4ccccc4)n3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2cnc(N)c(-c3ccccc3)n2)nc(N)n1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(F)cc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(c2)CCC(=O)N3)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ncc(Br)cn2)nc1-c1ccccc1; [None]; [None]; [0]
+CCc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+COc1ccc(CNc2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(Cl)cc2Cl)nc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(NC2CN(C(=O)C3CC3)C2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ncc3cccn3n2)nc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(-c3ccccc3)n2)ccc1N1CCOCC1; [None]; [None]; [0]
+Nc1ncc(-c2cc3ccccn3n2)nc1-c1ccccc1; [None]; [None]; [0]
+Cn1cc(-c2cnc(N)c(-c3ccccc3)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cnc(N)c(-c4ccccc4)n3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cnc(N)c(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
+Nc1ncc(-c2cccc3ccc(O)cc23)nc1-c1ccccc1; [None]; [None]; [0]
+COc1cc(F)c(-c2cnc(N)c(-c3ccccc3)n2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(-c3ccccc3)n2)ccc1Cl; [None]; [None]; [0]
+Nc1ncc(-c2cnn(CCO)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ncc(Cl)cn2)nc1-c1ccccc1; [None]; [None]; [0]
+Cc1csc2c(-c3cnc(N)c(-c4ccccc4)n3)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2cnc(N)c(-c3ccccc3)n2)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2cnc(N)c(-c3ccccc3)n2)nn1C; [None]; [None]; [0]
 Nc1cc(-c2cnc(N)c(-c3ccccc3)n2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)nc1; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c(-c3ccccc3)n2)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(Cc2ccc(S(=O)(=O)CCO)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(NC(=O)c2ccco2)nc1-c1ccccc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cnc(N)c(-c3ccccc3)n2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cnc(N)c(-c3ccccc3)n2)CC1; [None]; [None]; [0]
 Nc1ncc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)nc1-c1ccccc1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cnc(N)c(-c3ccccc3)n1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cnc(N)c(-c4ccccc4)n3)cc2c1; [None]; [None]; [0]
+Nc1ncc(-c2ccc3cn[nH]c3c2)nc1-c1ccccc1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CCn1cc(-c2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
+Nc1ncc(-c2cc(-c3cccnc3)ccn2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2cc3ccccc3o2)nc1-c1ccccc1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2ncc3sccc3n2)nc1-c1ccccc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(NC(=O)N3CCCC3)c2)nc1-c1ccccc1; [None]; [None]; [0]
+COc1ccc2nc(-c3cnc(N)c(-c4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(OC(F)(F)F)cc2)nc1-c1ccccc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cnc(N)c(-c4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2cnc(N)c(-c3ccccc3)n2)n1; [None]; [None]; [0]
 Nc1ncc(-c2ncn3c2CCCC3)nc1-c1ccccc1; [None]; [None]; [0]
+Cc1cc(-c2cnc(N)c(-c3ccccc3)n2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3cnc(N)c(-c4ccccc4)n3)ccc21; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cnc(N)c(-c4ccccc4)n3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cnc(N)c(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cnc(N)c(-c4ccccc4)n3)cn2)CC1; [None]; [None]; [0]
+Nc1ncc(-c2cccc(N3CCCC3=O)c2)nc1-c1ccccc1; [None]; [None]; [0]
+Nc1ncc(-c2ccc(CCO)cc2)nc1-c1ccccc1; [None]; [None]; [0]
 Nc1ncc(NC(=O)c2cccc(OC(F)(F)F)c2)nc1-c1ccccc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cnc(N)c(-c4ccccc4)n3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cnc(N)c(-c3ccccc3)n2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc(N)c(-c3ccccc3)n2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cnc(N)c(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Nc1ncc(Nc2ccc(F)cn2)nc1-c1ccccc1; [None]; [None]; [0]
 Cc1cc(Nc2cnc(N)c(-c3ccccc3)n2)ncc1F; [None]; [None]; [0]
+Nc1ncc(Nc2ccccn2)nc1-c1ccccc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cnc(N)c(-c3ccccc3)n2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cnc(N)c(-c2ccccc2)n1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Brc1cnc2nc(-c3ncc4ccccc4n3)[nH]c2c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
+COc1ncccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+COc1cc(-c2nc3ncc(Br)cc3[nH]2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3nc4ncc(Br)cc4[nH]3)c2c1; [None]; [None]; [0]
+Brc1cnc2nc(-c3cnc4cccnn34)[nH]c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+Oc1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Brc1cnc2nc(-c3ccc(N4CCOCC4)cc3)[nH]c2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nc3ncc(Br)cc3[nH]2)c1)C1CC1; [None]; [None]; [0]
+Brc1cnc2nc(-c3nc4ccccc4[nH]3)[nH]c2c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3nc4ncc(Br)cc4[nH]3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2nc3ncc(Br)cc3[nH]2)sn1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Brc1cnc2nc(-c3nccc4ccccc34)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Brc1cnc2nc(Nc3ncccn3)[nH]c2c1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3nc4ncc(Br)cc4[nH]3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Brc1cnc2nc(-c3cccc(C4CCNCC4)c3)[nH]c2c1; [None]; [None]; [0]
+O=C(c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2nc3ncc(Br)cc3[nH]2)nc1)N1CCOCC1; [None]; [None]; [0]
+Brc1cnc2nc(Nc3ccncn3)[nH]c2c1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3nc4ncc(Br)cc4[nH]3)cc2C1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2nc3ncc(Br)cc3[nH]2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2nc3ncc(Br)cc3[nH]2)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2nc3ncc(Br)cc3[nH]2)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2nc3ncc(Br)cc3[nH]2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3nc4ncc(Br)cc4[nH]3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2nc3ncc(Br)cc3[nH]2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
+Brc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Brc1cnc2nc(-c3ccn4nccc4n3)[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)c(C)c1; [None]; [None]; [0]
+Brc1cnc2nc(-c3ccccc3-n3cccn3)[nH]c2c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
+Brc1cnc2nc(-c3c[nH]c4ccccc34)[nH]c2c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2nc3ncc(Br)cc3[nH]2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3nc4ncc(Br)cc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+Brc1cnc2nc(-c3ccc4c(c3)CCO4)[nH]c2c1; [None]; [None]; [0]
+Brc1cnc2nc(-c3cc(-c4ccccc4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3nc4ncc(Br)cc4[nH]3)nc2c1F; [None]; [None]; [0]
+COc1cc(-c2nc3ncc(Br)cc3[nH]2)ccc1O; [None]; [None]; [0]
+Brc1cnc2nc(-c3cccc4c3OCO4)[nH]c2c1; [None]; [None]; [0]
+Brc1cnc2nc(-c3scc4c3OCCO4)[nH]c2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Brc1cnc2nc(-c3cnc4ccccc4c3)[nH]c2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2nc3ncc(Br)cc3[nH]2)CC1; [None]; [None]; [0]
+Nc1nc(-c2nc3ncc(Br)cc3[nH]2)cs1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3nc4ncc(Br)cc4[nH]3)n2)c1; [None]; [None]; [0]
+CC1(COc2nc3ncc(Br)cc3[nH]2)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+CSc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Brc1cnc2nc(-c3cc4ccccc4s3)[nH]c2c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3nc4ncc(Br)cc4[nH]3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2nc3ncc(Br)cc3[nH]2)nc(N)n1; [None]; [None]; [0]
+Fc1ccc(-c2nc3ncc(Br)cc3[nH]2)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3nc4ncc(Br)cc4[nH]3)ccc2N1; [None]; [None]; [0]
+Brc1cnc(-c2nc3ncc(Br)cc3[nH]2)nc1; [None]; [None]; [0]
+COc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+COc1ccc(CNc2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Clc1ccc(-c2nc3ncc(Br)cc3[nH]2)c(Cl)c1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2nc3ncc(Br)cc3[nH]2)C1; [None]; [None]; [0]
+Brc1cnc2nc(-c3ncc4cccn4n3)[nH]c2c1; [None]; [None]; [0]
+COc1cc(-c2nc3ncc(Br)cc3[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
+Brc1cnc2nc(-c3cc4ccccn4n3)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(-c2nc3ncc(Br)cc3[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3nc4ncc(Br)cc4[nH]3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3nc4ncc(Br)cc4[nH]3)c2c1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3nc4ncc(Br)cc4[nH]3)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2nc3ncc(Br)cc3[nH]2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2nc3ncc(Br)cc3[nH]2)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2nc3ncc(Br)cc3[nH]2)cn1; [None]; [None]; [0]
+Clc1cnc(-c2nc3ncc(Br)cc3[nH]2)nc1; [None]; [None]; [0]
+Cc1csc2c(-c3nc4ncc(Br)cc4[nH]3)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2nc3ncc(Br)cc3[nH]2)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2nc3ncc(Br)cc3[nH]2)nn1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
 Nc1cc(-c2nc3ncc(Br)cc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)nc1; [None]; [None]; [0]
+COc1cc(-c2nc3ncc(Br)cc3[nH]2)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+O=C(Nc1nc2ncc(Br)cc2[nH]1)c1ccco1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2nc3ncc(Br)cc3[nH]2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2nc3ncc(Br)cc3[nH]2)CC1; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1nc3ncc(Br)cc3[nH]1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3nc4ncc(Br)cc4[nH]3)cc2c1; [None]; [None]; [0]
+Brc1cnc2nc(-c3ccc4cn[nH]c4c3)[nH]c2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+CCn1cc(-c2nc3ncc(Br)cc3[nH]2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+Brc1cnc2nc(-c3cc(-c4cccnc4)ccn3)[nH]c2c1; [None]; [None]; [0]
+Brc1cnc2nc(-c3cc4ccccc4o3)[nH]c2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
+Brc1cnc2nc(-c3ncc4sccc4n3)[nH]c2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nc3ncc(Br)cc3[nH]2)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3nc4ncc(Br)cc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+Cn1cc(-c2nc3ncc(Br)cc3[nH]2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3nc4ncc(Br)cc4[nH]3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2nc3ncc(Br)cc3[nH]2)n1; [None]; [None]; [0]
 Brc1cnc2nc(-c3ncn4c3CCCC4)[nH]c2c1; [None]; [None]; [0]
+Cc1cc(-c2nc3ncc(Br)cc3[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3nc4ncc(Br)cc4[nH]3)ccc21; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3nc4ncc(Br)cc4[nH]3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3nc4ncc(Br)cc4[nH]3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3nc4ncc(Br)cc4[nH]3)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+OCCc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
 O=C(Nc1nc2ncc(Br)cc2[nH]1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3nc4ncc(Br)cc4[nH]3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2nc3ncc(Br)cc3[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nc3ncc(Br)cc3[nH]2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2nc3ncc(Br)cc3[nH]2)cc1; [None]; [None]; [0]
+Fc1ccc(Nc2nc3ncc(Br)cc3[nH]2)nc1; [None]; [None]; [0]
 Cc1cc(Nc2nc3ncc(Br)cc3[nH]2)ncc1F; [None]; [None]; [0]
+Brc1cnc2nc(Nc3ccccn3)[nH]c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2nc3ncc(Br)cc3[nH]2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1nc2ncc(Br)cc2[nH]1; [None]; [None]; [0]
 CNC(=O)c1ccccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CCOc1ccccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+COC(C)(C)CC[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2[C@H](C)[C@H]2C(=O)Nc3ccccc32)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](Cc1cc(F)cc(F)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccccc1P(C)(C)=O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccnc2ccccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CCn1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cn1; [None]; [None]; [0]
 C[C@@H](c1cccc(C(F)(F)F)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-C[C@@H](c1ccccc1Br)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccccc1OC(F)(F)F)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccccc1C(=O)[O-])[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccccc1C(N)=O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cnn(Cc2ccccc2)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1ccc2ncn(C)c(=O)c2c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cnc(-c2ccccc2)[nH]1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cnn(CCO)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1csc(C(C)(C)C)n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cccc(NC(=O)c2ccccc2)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@H]([C@H]1C(=O)Nc2ccccc21)n1ncc2cccc(F)c2c1=O; [None]; [None]; [0]
 COc1cnc([C@H](C)[C@H]2C(=O)Nc3ccccc32)nc1; [None]; [None]; [0]
+C[C@@H](c1cc(Cl)ccc1Cl)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CC(C)C(=O)CO[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 Cc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cnc2ccccn12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
@@ -58922,110 +34768,152 @@ Cc1nc(N)sc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cnc2cccnn12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1c(Cl)cccc1Cl)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cccc(Cn2cncn2)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1cccc(Br)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 Cc1ccc(Cl)c([C@H](C)[C@H]2C(=O)Nc3ccccc32)c1; [None]; [None]; [0]
+C[C@@H](NCc1cccnc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 Cc1c([C@H](C)[C@H]2C(=O)Nc3ccccc32)sc(=O)n1C; [None]; [None]; [0]
 C[C@@H](c1ccnc(N)n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-COc1cccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)c1; [None]; [None]; [0]
 C[C@@H](c1cnn2ncccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc2ccccc2c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](Nc1cccnc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@H]([C@H]1C(=O)Nc2ccccc21)n1cnc2ccccc21; [None]; [None]; [0]
+C[C@@H](NCCc1c[nH]cn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](NC(=O)c1cccs1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cccc(CC(=O)[O-])c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1c[nH]nc1C(F)(F)F)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1cccc(F)c1C(N)=O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cncc2ccccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](NCCc1ccccc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(-c2cnn(C)c2)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc2c(N)[nH]nc2c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc2c(c1)CS(=O)(=O)N2C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc2c(cnn2C)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1ccc(-c2cn[nH]c2)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](NCc1ccc(Cl)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CCCn1cnc([C@H](C)[C@H]2C(=O)Nc3ccccc32)n1; [None]; [None]; [0]
 C[C@@H](c1cccc(O)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cccc(CO)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)ccc1C(=O)[O-]; [None]; [None]; [0]
+C[C@@H](Nc1ccncc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CC(C)n1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)nn1; [None]; [None]; [0]
+C[C@@H](NCc1ccccc1F)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CSc1nc([C@H](C)[C@H]2C(=O)Nc3ccccc32)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-C[C@@H](c1cccc(CCC#N)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](CCc1c[nH]nn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1csc2ncncc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1cc2ccccc2[nH]1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1cccc(CCC#N)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1csc(N)n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1cncnc1N)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CCNc1nc2ccc([C@H](C)[C@H]3C(=O)Nc4ccccc43)cc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
 C[C@@H](c1ccc(F)cc1C(F)(F)F)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](CCCC(N)=O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](Oc1ccccn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](CCNC(=O)CC(C)(C)O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CC(=O)Nc1cccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)c1; [None]; [None]; [0]
+C[C@@H](NC(=O)c1c(Cl)cccc1Cl)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cn(C)c2ccccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@H]([C@H]1C(=O)Nc2ccccc21)N1CCC(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@@H](OCC(C)(C)S(C)(=O)=O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1Cl; [None]; [None]; [0]
 C[C@@H](c1cnn2ccccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(C[NH3+])c(C(F)(F)F)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CCCn1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cn1; [None]; [None]; [0]
 C[C@@H](c1cc[nH]c(=O)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cccc2c1C(=O)CC2)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+COc1cc(CC[C@H](C)[C@H]2C(=O)Nc3ccccc32)cc(OC)c1; [None]; [None]; [0]
 C[C@@H](c1ccc(C(C)(C)N)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](O[C@H](C)c1c(Cl)cncc1Cl)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc([S@](C)=O)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CCN(CC)[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cc2c(=O)[nH]ccc2o1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cc2c(=O)[nH]cc(Br)c2s1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-C[C@@H](c1c[nH]c2ccccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+COc1ccncc1N[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](Nc1cnccc1-c1ccccc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CC(C)Oc1cncc([C@H](C)[C@H]2C(=O)Nc3ccccc32)c1; [None]; [None]; [0]
+C[C@@H](c1ccc(C(C)(C)C)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+COc1cccc(F)c1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](Nc1cnc2ccccc2c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1c[nH]c2cnccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cnc2[nH]ccc2c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@H]([C@H]1C(=O)Nc2ccccc21)C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+C[C@H]([C@H]1C(=O)Nc2ccccc21)N(C)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
 C[C@@H](c1ccc(S(=O)(=O)NC(C)(C)C)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
 C[C@@H](c1ccc(N2CCOCC2)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(S(C)(=O)=O)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 Cc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+C[C@H](N[C@H](C)[C@H]1C(=O)Nc2ccccc21)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 C[C@H]([C@H]1C(=O)Nc2ccccc21)n1ccc(CO)n1; [None]; [None]; [0]
 C[C@H]([C@H]1C(=O)Nc2ccccc21)n1cnc(CCO)c1; [None]; [None]; [0]
-C[C@@H](c1cccc(F)c1C(N)=O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](N[C@@H](C)C(C)(C)O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](N[C@H](C)C(C)(C)O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1c(F)cccc1Cl)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@H]([C@H]1C(=O)Nc2ccccc21)n1ncc2ccccc21; [None]; [None]; [0]
 C[C@H]([C@H]1C(=O)Nc2ccccc21)n1ncc2c(O)cccc21; [None]; [None]; [0]
-C[C@@H](c1cccnc1O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(-n2cncn2)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-CSc1nc(C)c([C@H](C)[C@H]2C(=O)Nc3ccccc32)[nH]1; [None]; [None]; [0]
 C[C@@H](c1nc2ccc(O)cc2[nH]1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CSc1nc(C)c([C@H](C)[C@H]2C(=O)Nc3ccccc32)[nH]1; [None]; [None]; [0]
 COc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)c(OC)c1; [None]; [None]; [0]
 C[C@@H](c1ccc(C(=O)c2ccccc2)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H]([C@H](C)[C@H]2C(=O)Nc3ccccc32)CC1; [None]; [None]; [0]
 CC(C)n1cnnc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1nncn1C1CC1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccn(CC[NH3+])n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](Cc1nnc2ccc(-c3ccccc3)nn12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](CCC(=O)NCc1ccccn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](CS(=O)(=O)NCc1ccccn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cn(Cc2ccccc2)nn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CCc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)nc(N)n1; [None]; [None]; [0]
-C[C@@H](c1cnc(N)s1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CCCCc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)nc(N)n1; [None]; [None]; [0]
 C[C@@H](c1nnc(N)s1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cc(C(N)=O)cn1C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1cccc(C(C)(C)O)n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CNC(=O)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)s1; [None]; [None]; [0]
-COc1cccc(F)c1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](Oc1ccc(C[NH3+])cc1F)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC([C@H](C)[C@H]2C(=O)Nc3ccccc32)CC1; [None]; [None]; [0]
 C[C@@H](c1nc2ccccc2s1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc2c(n1)NC(=O)C(C)(C)O2)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc([C@H](C)[C@H]3C(=O)Nc4ccccc43)c2)cc1; [None]; [None]; [0]
+C[C@@H](c1cncc(N)n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cccc2ccsc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cccc2nnsc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CC(=O)Nc1ncc([C@H](C)[C@H]2C(=O)Nc3ccccc32)[nH]1; [None]; [None]; [0]
+C[C@@H](c1nc(N)c2ccccc2n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ncc2ccccc2n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1c[nH]c2cccnc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1cn(CCO)cn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ncc2cc[nH]c2n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1ccc(C#N)cc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+COc1ccc(O[C@H](C)[C@H]2C(=O)Nc3ccccc32)c(F)c1F; [None]; [None]; [0]
 C[C@@H]([C@H]1CC[C@@](C)(O)CC1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1ccc(OC)c([C@H](C)[C@H]2C(=O)Nc3ccccc32)c1; [None]; [None]; [0]
-C[C@@H](c1cccc(C(C)(C)O)n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+COc1ncccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1cccc(S(=O)(=O)N(C)C)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cnnc(N(C)C)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@H]([C@H]1C(=O)Nc2ccccc21)N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
+C[C@H]([C@H]1C(=O)Nc2ccccc21)N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
 C[C@@H](c1cccc(NC(=O)C2CCNCC2)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CC(=O)N(C)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
 CCOc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-COc1ncccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cccc(S(C)(=O)=O)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc(OC)c1OC; [None]; [None]; [0]
 Cc1ccc2ncn([C@H](C)[C@H]3C(=O)Nc4ccccc43)c2c1; [None]; [None]; [0]
-C[C@@H](c1cccc(NC(=O)C2CC2)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1cc(C#N)ccc1O)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc([C@H](C)[C@H]3C(=O)Nc4ccccc43)cc2)CC1; [None]; [None]; [0]
+C[C@@H](c1cccc(NC(=O)C2CC2)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1nc2ccccc2[nH]1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-C[C@H]([C@H]1C(=O)Nc2ccccc21)n1ncc2ccccc2c1=O; [None]; [None]; [0]
-C[C@@H](c1ccc(NS(C)(=O)=O)nc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc([C@H](C)[C@H]3C(=O)Nc4ccccc43)cc2)CC1; [None]; [None]; [0]
 C[C@@H](c1ccc(C(=O)[O-])cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1nccc2ccccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(C(N)=O)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-C[C@@H](c1cnn(Cc2cccc(C#N)c2)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](Nc1ncccn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1cnn(Cc2cccc(C#N)c2)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(C(=O)Nc2ccccc2)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-C[C@@H](Cc1nccc2ccccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(OCCO)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CC(=O)NCc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
 C[C@@H](c1cccc(C2CCNCC2)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
@@ -59038,37 +34926,43 @@ C[C@@H](c1ccc(C(F)(F)F)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(N(C)C)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(S(=O)(=O)N(C)C)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](C1CCN(S(C)(=O)=O)CC1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-CC(C)c1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)nc(N)n1; [None]; [None]; [0]
 C[C@@H]([C@H]1CCN(C(=O)c2ccccc2)C1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc([C@H](C)[C@H]3C(=O)Nc4ccccc43)c2)CC1; [None]; [None]; [0]
+CC(C)c1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc([C@H](C)[C@H]3C(=O)Nc4ccccc43)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-C[C@@H](c1ccc(N(C)C)c(Cl)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(Br)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1ccc(N(C)C)c(Cl)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
+C[C@@H](c1ccn2nccc2n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)c(C)c1; [None]; [None]; [0]
+C[C@@H](c1ccccc1-n1cccn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1ccc(Cl)cc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1c[nH]c2ccccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1cc(OC)c([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1Cl; [None]; [None]; [0]
-C[C@@H](c1ccc2c(c1)CCO2)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CC(C)c1ccc2nc([C@H](C)[C@H]3C(=O)Nc4ccccc43)[nH]c2c1; [None]; [None]; [0]
-C[C@@H](c1cc2ccccc2cn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1ccc2c(c1)CCO2)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cc(-c2ccccc2)[nH]n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-COc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)ccc1O; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+COc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)ccc1O; [None]; [None]; [0]
 C[C@@H](c1cccc2c1OCO2)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1scc2c1OCCO2)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-C[C@@H](c1ccc(C(C)(C)C)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cnc2ccccc2c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(C(=O)N(C)C)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(C(C)(C)C)nc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H]([C@H](C)[C@H]2C(=O)Nc3ccccc32)CC1; [None]; [None]; [0]
+C[C@@H](c1ccn(-c2cccc(Cl)c2)n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1cccc(C(=O)N[C@H](C)[C@H]2C(=O)Nc3ccccc32)c1; [None]; [None]; [0]
+CSc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
+C[C@@H](c1cc2ccccc2s1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CCN1CCN(Cc2ccc([C@H](C)[C@H]3C(=O)Nc4ccccc43)cc2)CC1; [None]; [None]; [0]
 Cc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)nc(N)n1; [None]; [None]; [0]
-CSc1cccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)c1; [None]; [None]; [0]
 C[C@@H](c1ccc(F)cc1Cl)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+C[C@@H](c1ccc2c(c1)CCC(=O)N2)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ncc(Br)cn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1OC; [None]; [None]; [0]
 CCc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
+C[C@@H](c1ccc(C(=O)N2CCC[C@@H]2C)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(Cl)cc1Cl)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ncc2cccn2n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)ccc1N1CCOCC1; [None]; [None]; [0]
@@ -59081,7 +34975,9 @@ COc1cc(F)c([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1OC; [None]; [None]; [0]
 COc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)ccc1Cl; [None]; [None]; [0]
 C[C@@H](c1ncc(Cl)cn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 Cc1csc2c([C@H](C)[C@H]3C(=O)Nc4ccccc43)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
 C[C@@H](c1cc(N)nc2[nH]ccc12)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CCNC(=O)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)nc1; [None]; [None]; [0]
 COc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H]([C@H](C)[C@H]2C(=O)Nc3ccccc32)CC1; [None]; [None]; [0]
@@ -59093,14 +34989,11 @@ COc1ccc2oc([C@H](C)[C@H]3C(=O)Nc4ccccc43)cc2c1; [None]; [None]; [0]
 C[C@@H](c1ccc2cn[nH]c2c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(C[NH+](C)C)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c([C@H](C)[C@H]2C(=O)Nc3ccccc32)c1; [None]; [None]; [0]
-CCn1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cn1; [None]; [None]; [0]
+C[C@@H](c1cc(-c2cccnc2)ccn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cc2ccccc2o1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cc(Br)cn1C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-C[C@@H](c1cc(-c2cccnc2)ccn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ncc2sccc2n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-CNC(=O)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
 CC(C)c1nn(C)cc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-C[C@@H](c1ccc(C(=O)N2CCC[C@@H]2C)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1cccc(NC(=O)N2CCCC2)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1ccc2nc([C@H](C)[C@H]3C(=O)Nc4ccccc43)[nH]c2c1; [None]; [None]; [0]
 C[C@@H](c1ccc(OC(F)(F)F)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
@@ -59111,8 +35004,8 @@ C[C@@H](c1ncn2c1CCCC2)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 Cc1cc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc(C)c1OCCO; [None]; [None]; [0]
 C[C@@H](c1ccc2c(c1)c(Cl)nn2C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(N(C)C)nc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc([C@H](C)[C@H]3C(=O)Nc4ccccc43)cn2)CC1; [None]; [None]; [0]
 Cc1n[nH]c2cc([C@H](C)[C@H]3C(=O)Nc4ccccc43)ccc12; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc([C@H](C)[C@H]3C(=O)Nc4ccccc43)cn2)CC1; [None]; [None]; [0]
 C[C@@H](c1cccc(N2CCCC2=O)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](c1ccc(CCO)cc1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 C[C@@H](NC(=O)c1cccc(OC(F)(F)F)c1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
@@ -59120,246 +35013,1354 @@ C[C@@H](c1ccc(C(=O)N(C)C)cc1Cl)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 Cc1ncc(-c2ccc([C@H](C)[C@H]3C(=O)Nc4ccccc43)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 Cc1cc(N2CCOCC2)ccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CNC(=O)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)c(OC)c1; [None]; [None]; [0]
 C[C@@H](c1cc(C(C)(C)O)n(C)n1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CCNC(=O)c1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
+C[C@@H](c1ccc(C(=O)N(C)C)cn1)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CCNC(=O)Cc1ccc([C@H](C)[C@H]2C(=O)Nc3ccccc32)cc1; [None]; [None]; [0]
 C[C@@H](c1cc(S(C)(=O)=O)ccc1Cl)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c([C@H](C)[C@H]2C(=O)Nc3ccccc32)c1; [None]; [None]; [0]
-O=c1[nH]ccc2cc(-n3ncc4cccc(F)c4c3=O)ccc12; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1[C@H](C)[C@H]1C(=O)Nc2ccccc21; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+COC(C)(C)CCc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3c(=O)[nH]ccc3c2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(Cc3cc(F)cc(F)c3)ccc12; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3ccnc4ccccc34)ccc12; [None]; [None]; [0]
+CCn1cc(-c2ccc3c(=O)[nH]ccc3c2)cn1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cccc(C(F)(F)F)c3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3ccccc3OC(F)(F)F)ccc12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cnn(Cc4ccccc4)c3)ccc12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc4c(=O)[nH]ccc4c3)cc2c1=O; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cnc(-c4ccccc4)[nH]3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cnn(CCO)c3)ccc12; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccc3c(=O)[nH]ccc3c2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1)c1ccccc1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-n3ncc4cccc(F)c4c3=O)ccc12; [None]; [None]; [0]
+COc1cnc(-c2ccc3c(=O)[nH]ccc3c2)nc1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cc(Cl)ccc3Cl)ccc12; [None]; [None]; [0]
+CC(C)C(=O)COc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+Cc1ccc(-c2ccc3c(=O)[nH]ccc3c2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cnc4ccccn34)ccc12; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccc3c(=O)[nH]ccc3c2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccc3c(=O)[nH]ccc3c2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cnc4cccnn34)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3c(Cl)cccc3Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cccc(Cn4cncn4)c3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cccc(Br)c3)ccc12; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccc3c(=O)[nH]ccc3c2)c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(NCc3cccnc3)ccc12; [None]; [None]; [0]
 Cc1c(-c2ccc3c(=O)[nH]ccc3c2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2ccc3c(=O)[nH]ccc3c2)n1; [None]; [None]; [0]
 O=c1[nH]ccc2cc(-c3cnn4ncccc34)ccc12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc3c(=O)[nH]ccc3c2)o1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3ccc4ccccc4c3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(Nc3cccnc3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-n3cnc4ccccc43)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(NCCc3c[nH]cn3)ccc12; [None]; [None]; [0]
+O=C(Nc1ccc2c(=O)[nH]ccc2c1)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3c[nH]nc3C(F)(F)F)ccc12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cncc4ccccc34)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(NCCc3ccccc3)ccc12; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccc4c(=O)[nH]ccc4c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc4c(=O)[nH]ccc4c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ccc4c(=O)[nH]ccc4c3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4c(=O)[nH]ccc4c3)ccc21; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3ccc(-c4cn[nH]c4)cc3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(NCc3ccc(Cl)cc3)ccc12; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3c(=O)[nH]ccc3c2)n1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cccc(O)c3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cccc(CO)c3)ccc12; [None]; [None]; [0]
 COc1cc(-c2ccc3c(=O)[nH]ccc3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]ccc2cc(Nc3ccncc3)ccc12; [None]; [None]; [0]
 CC(C)n1cc(-c2ccc3c(=O)[nH]ccc3c2)nn1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(NCc3ccccc3F)ccc12; [None]; [None]; [0]
+CSc1nc(-c2ccc3c(=O)[nH]ccc3c2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
 O=c1[nH]ccc2cc(CCc3c[nH]nn3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3csc4ncncc34)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cc4ccccc4[nH]3)ccc12; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1; [None]; [None]; [0]
+Nc1nc(-c2ccc3c(=O)[nH]ccc3c2)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc4c(=O)[nH]ccc4c3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3ccc(F)cc3C(F)(F)F)ccc12; [None]; [None]; [0]
+NC(=O)CCCc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(Oc3ccccn3)ccc12; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1; [None]; [None]; [0]
 O=C(Nc1ccc2c(=O)[nH]ccc2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(=O)[nH]ccc3c2)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ccc3c(=O)[nH]ccc3c2)CC1; [None]; [None]; [0]
 CC(C)(COc1ccc2c(=O)[nH]ccc2c1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1Cl; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cnn4ccccc34)ccc12; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2ccc3c(=O)[nH]ccc3c2)cn1; [None]; [None]; [0]
+O=c1cc(-c2ccc3c(=O)[nH]ccc3c2)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3ccc4c(=O)[nH]ccc4c3)c21; [None]; [None]; [0]
+COc1cc(CCc2ccc3c(=O)[nH]ccc3c2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
 C[C@@H](Oc1ccc2c(=O)[nH]ccc2c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
+CCN(CC)c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cc4c(=O)[nH]ccc4o3)ccc12; [None]; [None]; [0]
 O=c1[nH]ccc2cc(-c3cc4c(=O)[nH]cc(Br)c4s3)ccc12; [None]; [None]; [0]
+COc1ccncc1Nc1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
 O=c1[nH]ccc2cc(Nc3cnccc3-c3ccccc3)ccc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccc3c(=O)[nH]ccc3c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(Nc3cnc4ccccc4c3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3c[nH]c4cnccc34)ccc12; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cnc4[nH]ccc4c3)ccc12; [None]; [None]; [0]
+CC1(c2ccc3c(=O)[nH]ccc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1ccc2c(=O)[nH]ccc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3ccc(N4CCOCC4)cc3)ccc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(=O)[nH]ccc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1ccc2c(=O)[nH]ccc2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-n3ccc(CO)n3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-n3cnc(CCO)c3)ccc12; [None]; [None]; [0]
+C[C@H](Nc1ccc2c(=O)[nH]ccc2c1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1ccc2c(=O)[nH]ccc2c1)C(C)(C)O; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3c(F)cccc3Cl)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-n3ncc4ccccc43)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-n3ncc4c(O)cccc43)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3ccc(-n4cncn4)cc3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3nc4ccc(O)cc4[nH]3)ccc12; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc3c(=O)[nH]ccc3c2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(=O)[nH]ccc3c2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3c(=O)[nH]ccc3c2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3nncn3C3CC3)ccc12; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccc3c(=O)[nH]ccc3c2)n1; [None]; [None]; [0]
 O=c1[nH]ccc2cc(Cc3nnc4ccc(-c5ccccc5)nn34)ccc12; [None]; [None]; [0]
+O=C(CCc1ccc2c(=O)[nH]ccc2c1)NCc1ccccn1; [None]; [None]; [0]
 O=c1[nH]ccc2cc(CS(=O)(=O)NCc3ccccn3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cn(Cc4ccccc4)nn3)ccc12; [None]; [None]; [0]
+CCc1cc(-c2ccc3c(=O)[nH]ccc3c2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccc3c(=O)[nH]ccc3c2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2ccc3c(=O)[nH]ccc3c2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc3c(=O)[nH]ccc3c2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3c(=O)[nH]ccc3c2)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2ccc3c(=O)[nH]ccc3c2)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc3c(=O)[nH]ccc3c2)CC1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3nc4ccccc4s3)ccc12; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ccc4c(=O)[nH]ccc4c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4c(=O)[nH]ccc4c3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2ccc3c(=O)[nH]ccc3c2)n1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cccc4ccsc34)ccc12; [None]; [None]; [0]
 O=c1[nH]ccc2cc(-c3cccc4nnsc34)ccc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc3c(=O)[nH]ccc3c2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2ccc3c(=O)[nH]ccc3c2)nc2ccccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3ncc4ccccc4n3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3c[nH]c4cccnc34)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3cn(CCO)cn3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(-c3ncc4cc[nH]c4n3)ccc12; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
 COc1ccc(Oc2ccc3c(=O)[nH]ccc3c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc3c(=O)[nH]ccc3c2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc3c(=O)[nH]ccc3c2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc3c(=O)[nH]ccc3c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1ccc2c(=O)[nH]ccc2c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc3c(=O)[nH]ccc3c2)cnn1; [None]; [None]; [0]
+O=c1[nH]ccc2cc(N3CCC(c4nc5ccccc5[nH]4)CC3)ccc12; [None]; [None]; [0]
+O=c1[nH]ccc2cc(N3CC=C(c4c[nH]c5ccccc45)CC3)ccc12; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ccc3c(=O)[nH]ccc3c2)c1)C1CCNCC1; [None]; [None]; [0]
+Cn1cc(-c2cccc(O)c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2cccc3ncccc23)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2c(Cl)ccc3c2OCO3)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(Cl)c(O)c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2n[nH]c3ccccc23)c2c(N)ncnc21; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cn(C)c3ncnc(N)c23)cc1; [None]; [None]; [0]
+Cn1cc(-c2c(Cl)cccc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(Oc2ccc(F)cc2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(N)=O)cc2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(N)=O)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(O)cc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+Cn1cc(-c2ccc(O)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccnc(N)n2)c2c(N)ncnc21; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cn(C)c4ncnc(N)c34)cc2[nH]1; [None]; [None]; [0]
+Cn1cc(-c2cn[nH]c2Cl)c2c(N)ncnc21; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3ccc(O)cc3O)cc2)c2c(N)ncnc21; [None]; [None]; [0]
+COc1cc(-c2cn(C)c3ncnc(N)c23)ccc1O; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(=O)[O-])cc2)c2c(N)ncnc21; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cn(C)c3ncnc(N)c23)o1; [None]; [None]; [0]
+COc1cc(CCc2cn(C)c3ncnc(N)c23)ccc1O; [None]; [None]; [0]
+Cn1cc(-c2cccc(Br)c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc3ccccc3c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(O)c(F)c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2cn(C)c3ncnc(N)c23)c2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(O)cc2O)c2c(N)ncnc21; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cn(C)c3ncnc(N)c23)c1; [None]; [None]; [0]
 Cn1cc(-c2cnn3ncccc23)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2c[nH]c3cnccc23)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccnc(N)c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(COc2ccccc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(F)c(Cl)c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2[nH]cnc2-c2ccc(F)cc2)c2c(N)ncnc21; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+Cn1cc(-c2cc(O)ccc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+Cn1cc(-c2cnc(O)c(Cl)c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2c[nH]c(C(N)=O)c2)c2c(N)ncnc21; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cn(C)c3ncnc(N)c23)c1; [None]; [None]; [0]
+COc1ccc(-c2cn(C)c3ncnc(N)c23)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cn(C)c4ncnc(N)c34)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3cn(C)c4ncnc(N)c34)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2cn(C)c3ncnc(N)c23)c1; [None]; [None]; [0]
+COc1cc(CCc2cn(C)c3ncnc(N)c23)cc(OC)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(NC(N)=O)cc2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2cnc3[nH]ccc3c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(S(C)(=O)=O)cc2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2nc3ccccc3s2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2cncc(O)c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(c2)CC(=O)N3)c2c(N)ncnc21; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+CNc1nccc(-c2cn(C)c3ncnc(N)c23)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3cn(C)c4ncnc(N)c34)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2cn(C)c3ncnc(N)c23)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+Cn1cc(-c2cc(C(F)F)n[nH]2)c2c(N)ncnc21; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+Cn1cc(-c2ccncc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
+CCc1sccc1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+Cn1cc(-c2cc(Cl)c(O)c(Cl)c2)c2c(N)ncnc21; [None]; [None]; [0]
+CNc1nc(-c2cn(C)c3ncnc(N)c23)ncc1F; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(c2)CCN3)c2c(N)ncnc21; [None]; [None]; [0]
 Cn1cc(-c2cc(O)n3nccc3n2)c2c(N)ncnc21; [None]; [None]; [0]
 Cc1oc(-c2cn(C)c3ncnc(N)c23)cc1C(=O)[O-]; [None]; [None]; [0]
+Cn1cc(-c2ccc3[nH]c(=O)[nH]c3c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+Cn1cc(Nc2ccncc2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(Br)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2[nH]nc3ccc(F)cc23)c2c(N)ncnc21; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cn(C)c3ncnc(N)c23)cc1; [None]; [None]; [0]
 CN(c1cccc2[nH]ncc12)c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+Cn1cc(-c2cc(O)cc(Br)c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(=O)NC3CC3)cc2)c2c(N)ncnc21; [None]; [None]; [0]
+Cc1cc(-c2cn(C)c3ncnc(N)c23)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3cn(C)c4ncnc(N)c34)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2cn(C)c3ncnc(N)c23)cc(C)c1O; [None]; [None]; [0]
+Cn1cc(-c2cc(F)c(O)c(F)c2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(=O)[nH][nH]c3c2)c2c(N)ncnc21; [None]; [None]; [0]
+CSc1cccc(-c2cn(C)c3ncnc(N)c23)c1; [None]; [None]; [0]
+Cn1cc(CCc2c[nH]c3ccccc23)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(OCc2cccc3ccccc23)c2c(N)ncnc21; [None]; [None]; [0]
 Cn1cc(-c2ocnc2-c2ccc(F)cc2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(Oc2ccc(F)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1cn(C)c2ncnc(N)c12; [None]; [None]; [0]
+Cn1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(OCc2ccc(F)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(CCc2ccc(F)cc2F)c2c(N)ncnc21; [None]; [None]; [0]
+Cn1cc(NCc2c(F)cccc2Cl)c2c(N)ncnc21; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc(C(C)=O)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc(C(C)=O)c1; [None]; [None]; [0]
+COC(C)(C)CCc1cccc(C(C)=O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccccc2-c2nnc(C)[nH]2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccccc2S(=O)(=O)C(C)C)c1; [None]; [None]; [0]
+CC(=O)c1cccc(Cc2cc(F)cc(F)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccccc2P(C)(C)=O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccnc3ccccc23)c1; [None]; [None]; [0]
+CCn1cc(-c2cccc(C(C)=O)c2)cn1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccccc2OC(F)(F)F)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccccc2C(=O)[O-])c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccccc2C(N)=O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cnn(Cc3ccccc3)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc3ncn(C)c(=O)c3c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cnn(CCO)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2csc(C(C)(C)C)n2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(NC(=O)c3ccccc3)c2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-n2ncc3cccc(F)c3c2=O)c1; [None]; [None]; [0]
+COc1cnc(-c2cccc(C(C)=O)c2)nc1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cc(Cl)ccc2Cl)c1; [None]; [None]; [0]
+CC(=O)c1cccc(OCC(=O)C(C)C)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(C)cc2Br)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2c(C)nc3ccccn23)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2sc(C)nc2C)c1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cccc(C(C)=O)c2)s1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2sc(N)nc2C)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(Br)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cc(C)ccc2Cl)c1; [None]; [None]; [0]
+CC(=O)c1cccc(NCc2cccnc2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2sc(=O)n(C)c2C)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccnc(N)n2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2cnn3ncccc23)c1; [None]; [None]; [0]
-CC(=O)c1cccc(Cc2ncc(C(C)(C)C)o2)c1; [None]; [None]; [0]
-COc1cc(-c2cccc(C(C)=O)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(Nc2cccnc2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-n2cnc3ccccc32)c1; [None]; [None]; [0]
+CC(=O)c1cccc(NCCc2c[nH]cn2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(NC(=O)c2cccs2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(CC(=O)[O-])c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2c[nH]nc2C(F)(F)F)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(F)c2C(N)=O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cncc3ccccc23)c1; [None]; [None]; [0]
+CC(=O)c1cccc(NCCc2ccccc2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(-c3cnn(C)c3)cc2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc3c(N)[nH]nc3c2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2ccc3c(c2)CS(=O)(=O)N3C)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc3c(cnn3C)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(-c3cn[nH]c3)cc2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(NCc2ccc(Cl)cc2)c1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(C(C)=O)c2)n1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(O)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(CO)c2)c1; [None]; [None]; [0]
+COc1cc(-c2cccc(C(C)=O)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+CC(=O)c1cccc(Nc2ccncc2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2cn(C(C)C)nn2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(NCc2ccccc2F)c1; [None]; [None]; [0]
+CSc1nc(-c2cccc(C(C)=O)c2)c[nH]1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cnoc2C(C)C)c1; [None]; [None]; [0]
 CC(=O)c1cccc(CCc2c[nH]nn2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2csc3ncncc23)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cc3ccccc3[nH]2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(CCC#N)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2csc(N)n2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cncnc2N)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cccc(C(C)=O)c3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cccc(C(C)=O)c2)cc1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(F)cc2C(F)(F)F)c1; [None]; [None]; [0]
+CC(=O)c1cccc(CCCC(N)=O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(Oc2ccccn2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(CCNC(=O)CC(C)(C)O)c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccc(C(C)=O)c2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(NC(=O)c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cn(C)c3ccccc23)c1; [None]; [None]; [0]
+CC(=O)c1cccc(N2CCC(S(C)(=O)=O)CC2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(OCC(C)(C)S(C)(=O)=O)c1; [None]; [None]; [0]
+COc1ccc(-c2cccc(C(C)=O)c2)cc1Cl; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)c1; [None]; [None]; [0]
+CCCn1cc(-c2cccc(C(C)=O)c2)cn1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cc[nH]c(=O)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc3c2C(=O)CC3)c1; [None]; [None]; [0]
+COc1cc(CCc2cccc(C(C)=O)c2)cc(OC)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(C(C)(C)N)cc2)c1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc(C(C)=O)c1; [None]; [None]; [0]
 CC(=O)c1cccc(O[C@H](C)c2c(Cl)cncc2Cl)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc([S@](C)=O)cc2)c1; [None]; [None]; [0]
+CCN(CC)c1cccc(C(C)=O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cc3c(=O)[nH]ccc3o2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2cc3c(=O)[nH]cc(Br)c3s2)c1; [None]; [None]; [0]
+COc1ccncc1Nc1cccc(C(C)=O)c1; [None]; [None]; [0]
 CC(=O)c1cccc(Nc2cnccc2-c2ccccc2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cncc(OC(C)C)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(C(C)(C)C)cc2)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc(C(C)=O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(Nc2cnc3ccccc3c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cccc(C(C)=O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(C2(C)CCN(S(C)(=O)=O)CC2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc(C(C)=O)c2)cc1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(S(C)(=O)=O)cc2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cc(C)nn2-c2cccc(Cl)c2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(N[C@@H](C)C(=O)NCC(F)(F)F)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-n2ccc(CO)n2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-n2cnc(CCO)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(N[C@@H](C)C(C)(C)O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(N[C@H](C)C(C)(C)O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2c(F)cccc2Cl)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-n2ncc3ccccc32)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-n2ncc3c(O)cccc32)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc(C(C)=O)c2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cccc(C(C)=O)c2)c(OC)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ccc(C(=O)c3ccccc3)cc2)c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc(C(C)=O)c2)CC1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2nncn2C(C)C)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2ccn(CC[NH3+])n2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(Cc2nnc3ccc(-c4ccccc4)nn23)c1; [None]; [None]; [0]
+CC(=O)c1cccc(CCC(=O)NCc2ccccn2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(CS(=O)(=O)NCc2ccccn2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
+CCc1cc(-c2cccc(C(C)=O)c2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc(C(C)=O)c2)nc(N)n1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2nnc(N)s2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2cc(C(N)=O)cn2C)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(C(C)(C)O)n2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc(C(C)=O)c2)s1; [None]; [None]; [0]
 CC(=O)c1cccc(Oc2ccc(C[NH3+])cc2F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc(C(C)=O)c2)CC1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)c1; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc(C(C)=O)c3)c2)cc1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cncc(N)n2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc3ccsc23)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2cccc3nnsc23)c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc(C(C)=O)c2)[nH]1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2nc(N)c3ccccc3n2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cn(CCO)cn2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc(C(C)=O)c1; [None]; [None]; [0]
 COc1ccc(Oc2cccc(C(C)=O)c2)c(F)c1F; [None]; [None]; [0]
-CC(=O)c1cccc(-c2cccc(C(C)(C)O)n2)c1; [None]; [None]; [0]
+CC(=O)c1cccc([C@H]2CC[C@@](C)(O)CC2)c1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc(C(C)=O)c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cccc(C(C)=O)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cccc(S(=O)(=O)N(C)C)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(-c2cnnc(N(C)C)c2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; [None]; [None]; [0]
+CC(=O)c1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; [None]; [None]; [0]
 CC(=O)c1cccc(-c2cccc(NC(=O)C3CCNCC3)c2)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+CCOc1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+COC(C)(C)CCc1cc(Br)ccc1O; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cc(Br)ccc2O)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+Oc1ccc(Br)cc1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1ccnc2ccccc12; [None]; [None]; [0]
+CCn1cc(-c2cc(Br)ccc2O)cn1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1ccccc1OC(F)(F)F; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc(Br)ccc3O)cc2c1=O; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+OCCn1cc(-c2cc(Br)ccc2O)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(Br)ccc2O)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(Br)ccc2O)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cc(Br)ccc1O; [None]; [None]; [0]
+COc1cnc(-c2cc(Br)ccc2O)nc1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cc(Cl)ccc1Cl; [None]; [None]; [0]
+CC(C)C(=O)COc1cc(Br)ccc1O; [None]; [None]; [0]
+Cc1ccc(-c2cc(Br)ccc2O)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc(Br)ccc1O; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cnc2ccccn12; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc(Br)ccc2O)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc(Br)ccc2O)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cnc2cccnn12; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cccc(Br)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
+Oc1ccc(Br)cc1NCc1cccnc1; [None]; [None]; [0]
 Cc1c(-c2cc(Br)ccc2O)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cc(Br)ccc2O)n1; [None]; [None]; [0]
 Oc1ccc(Br)cc1-c1cnn2ncccc12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc(Br)ccc2O)o1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Oc1ccc(Br)cc1Nc1cccnc1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-n1cnc2ccccc21; [None]; [None]; [0]
+Oc1ccc(Br)cc1NCCc1c[nH]cn1; [None]; [None]; [0]
+O=C(Nc1cc(Br)ccc1O)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1c[nH]nc1C(F)(F)F; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cncc2ccccc12; [None]; [None]; [0]
+Oc1ccc(Br)cc1NCCc1ccccc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cc(Br)ccc3O)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cc(Br)ccc3O)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cc(Br)ccc3O)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(Br)ccc3O)ccc21; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1ccc(-c2cn[nH]c2)cc1; [None]; [None]; [0]
+Oc1ccc(Br)cc1NCc1ccc(Cl)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(Br)ccc2O)n1; [None]; [None]; [0]
+Oc1cccc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
+OCc1cccc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
 COc1cc(-c2cc(Br)ccc2O)ccc1C(=O)[O-]; [None]; [None]; [0]
+Oc1ccc(Br)cc1Nc1ccncc1; [None]; [None]; [0]
 CC(C)n1cc(-c2cc(Br)ccc2O)nn1; [None]; [None]; [0]
+Oc1ccc(Br)cc1NCc1ccccc1F; [None]; [None]; [0]
+CSc1nc(-c2cc(Br)ccc2O)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(Br)ccc1O; [None]; [None]; [0]
 Oc1ccc(Br)cc1CCc1c[nH]nn1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1csc2ncncc12; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cc2ccccc2[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
+Nc1nc(-c2cc(Br)ccc2O)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cc(Br)ccc3O)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
+NC(=O)CCCc1cc(Br)ccc1O; [None]; [None]; [0]
+Oc1ccc(Br)cc1Oc1ccccn1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cc(Br)ccc1O; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
 O=C(Nc1cc(Br)ccc1O)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2cc(Br)ccc2O)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cc(Br)ccc2O)CC1; [None]; [None]; [0]
 CC(C)(COc1cc(Br)ccc1O)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cc(Br)ccc2O)cc1Cl; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cnn2ccccc12; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2cc(Br)ccc2O)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2cc(Br)ccc2O)cn1; [None]; [None]; [0]
+O=c1cc(-c2cc(Br)ccc2O)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cc(Br)ccc3O)c21; [None]; [None]; [0]
+COc1cc(CCc2cc(Br)ccc2O)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
 C[C@@H](Oc1cc(Br)ccc1O)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
+CCN(CC)c1cc(Br)ccc1O; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cc(Br)ccc3O)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cc(Br)ccc3O)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1cc(Br)ccc1O; [None]; [None]; [0]
 Oc1ccc(Br)cc1Nc1cnccc1-c1ccccc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc(Br)ccc1O; [None]; [None]; [0]
+Oc1ccc(Br)cc1Nc1cnc2ccccc2c1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
+CC1(c2cc(Br)ccc2O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cc(Br)ccc1O)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
+Cc1cc(-c2cc(Br)ccc2O)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cc(Br)ccc1O)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2cc(Br)ccc2O)n1; [None]; [None]; [0]
+OCCc1cn(-c2cc(Br)ccc2O)cn1; [None]; [None]; [0]
+C[C@H](Nc1cc(Br)ccc1O)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cc(Br)ccc1O)C(C)(C)O; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1c(F)cccc1Cl; [None]; [None]; [0]
+Oc1ccc(Br)cc1-n1ncc2ccccc21; [None]; [None]; [0]
+Oc1ccc(Br)cc1-n1ncc2c(O)cccc21; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cc(Br)ccc3O)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc(Br)ccc2O)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cc(Br)ccc2O)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cc(Br)ccc2O)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(Br)ccc2O)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1nncn1C1CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cc(Br)ccc2O)n1; [None]; [None]; [0]
 Oc1ccc(Br)cc1Cc1nnc2ccc(-c3ccccc3)nn12; [None]; [None]; [0]
+O=C(CCc1cc(Br)ccc1O)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1cc(Br)ccc1O)NCc1ccccn1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+CCc1cc(-c2cc(Br)ccc2O)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(Br)ccc2O)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cc(Br)ccc2O)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(Br)ccc2O)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(Br)ccc2O)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cc(Br)ccc2O)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(Br)ccc2O)CC1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1nc2ccccc2s1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cc(Br)ccc3O)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(Br)ccc3O)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cc(Br)ccc2O)n1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1cccc2ccsc12; [None]; [None]; [0]
 Oc1ccc(Br)cc1-c1cccc2nnsc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(Br)ccc2O)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cc(Br)ccc2O)nc2ccccc12; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+OCCn1cnc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
+Oc1ccc(Br)cc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc(Br)ccc1O; [None]; [None]; [0]
 COc1ccc(Oc2cc(Br)ccc2O)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc(Br)ccc2O)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cc(Br)ccc2O)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
+COc1ncccc1-c1cc(Br)ccc1O; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc(Br)ccc2O)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(Br)ccc2O)cnn1; [None]; [None]; [0]
+Oc1ccc(Br)cc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
+Oc1ccc(Br)cc1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cc(Br)ccc2O)c1)C1CCNCC1; [None]; [None]; [0]
+COc1cc(C=Cc2cccc(-c3cnccn3)c2)ccc1O; [None]; [None]; [0]
+O=C1Nc2ccc(Cl)cc2C1=Cc1cccc(-c2cnccn2)c1; [None]; [None]; [0]
+Oc1ccc(C=Cc2cccc(-c3cnccn3)c2)cc1; [None]; [None]; [0]
+Oc1ccc(C=Cc2cccc(-c3cnccn3)c2)c(O)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+COC(C)(C)CCc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc(C(F)(F)F)c2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ccnc3ccccc23)c1; [None]; [None]; [0]
+CCn1cc(-c2cccc(C(F)(F)F)c2)cn1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cnn(Cc3ccccc3)c2)c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc(C(F)(F)F)c3)cc2c1=O; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+OCCn1cc(-c2cccc(C(F)(F)F)c2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cccc(C(F)(F)F)c2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cccc(C(F)(F)F)c2)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cc(Cl)ccc2Cl)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+Cc1ccc(-c2cccc(C(F)(F)F)c2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cccc(C(F)(F)F)c2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cccc(C(F)(F)F)c2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cccc(Br)c2)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(NCc2cccnc2)c1; [None]; [None]; [0]
 Cc1c(-c2cccc(C(F)(F)F)c2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
 FC(F)(F)c1cccc(-c2cnn3ncccc23)c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccc(C(F)(F)F)c2)o1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(Nc2cccnc2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-n2cnc3ccccc32)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(NCCc2c[nH]cn2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(C(F)(F)F)c1)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2c[nH]nc2C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cncc3ccccc23)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(NCCc2ccccc2)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cccc(C(F)(F)F)c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cccc(C(F)(F)F)c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cccc(C(F)(F)F)c3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cccc(C(F)(F)F)c3)ccc21; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ccc(-c3cn[nH]c3)cc2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(NCc2ccc(Cl)cc2)c1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
+Oc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+OCc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
 COc1cc(-c2cccc(C(F)(F)F)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+FC(F)(F)c1cccc(Nc2ccncc2)c1; [None]; [None]; [0]
 CC(C)n1cc(-c2cccc(C(F)(F)F)c2)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+CSc1nc(-c2cccc(C(F)(F)F)c2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
 FC(F)(F)c1cccc(CCc2c[nH]nn2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2csc3ncncc23)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cc3ccccc3[nH]2)c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+Nc1nc(-c2cccc(C(F)(F)F)c2)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cccc(C(F)(F)F)c3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+Fc1ccc(-c2cccc(C(F)(F)F)c2)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(Oc2ccccn2)c1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
 O=C(Nc1cccc(C(F)(F)F)c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
 CC(C)(COc1cccc(C(F)(F)F)c1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cccc(C(F)(F)F)c2)cc1Cl; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2cccc(C(F)(F)F)c2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2cccc(C(F)(F)F)c2)cn1; [None]; [None]; [0]
+O=c1cc(-c2cccc(C(F)(F)F)c2)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cccc(C(F)(F)F)c3)c21; [None]; [None]; [0]
+COc1cc(CCc2cccc(C(F)(F)F)c2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
 C[C@@H](Oc1cccc(C(F)(F)F)c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+CCN(CC)c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
 FC(F)(F)c1cccc(Nc2cnccc2-c2ccccc2)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(Nc2cnc3ccccc3c2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
+CC1(c2cccc(C(F)(F)F)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cccc(C(F)(F)F)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2cccc(C(F)(F)F)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cccc(C(F)(F)F)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
+OCCc1cn(-c2cccc(C(F)(F)F)c2)cn1; [None]; [None]; [0]
+C[C@H](Nc1cccc(C(F)(F)F)c1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cccc(C(F)(F)F)c1)C(C)(C)O; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-n2ncc3ccccc32)c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cccc(C(F)(F)F)c3)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc(C(F)(F)F)c2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cccc(C(F)(F)F)c2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
 FC(F)(F)c1cccc(Cc2nnc3ccc(-c4ccccc4)nn23)c1; [None]; [None]; [0]
+O=C(CCc1cccc(C(F)(F)F)c1)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1cccc(C(F)(F)F)c1)NCc1ccccn1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
+CCc1cc(-c2cccc(C(F)(F)F)c2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc(C(F)(F)F)c2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cccc(C(F)(F)F)c2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3cccc(C(F)(F)F)c3)nc2NC1=O; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc(C(F)(F)F)c2)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cccc(C(F)(F)F)c2)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3cccc(C(F)(F)F)c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc(C(F)(F)F)c3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cccc3ccsc23)c1; [None]; [None]; [0]
 FC(F)(F)c1cccc(-c2cccc3nnsc23)c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc(C(F)(F)F)c2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cccc(C(F)(F)F)c2)nc2ccccc12; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+OCCn1cnc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
 COc1ccc(Oc2cccc(C(F)(F)F)c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc(C(F)(F)F)c2)cnn1; [None]; [None]; [0]
+FC(F)(F)c1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cccc(C(F)(F)F)c2)c1)C1CCNCC1; [None]; [None]; [0]
+C(=Cc1c[nH]c2ccccc12)c1c[nH]c2ccccc12; [None]; [None]; [0]
+Oc1cc(O)cc(C=Cc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+COc1cc(O)cc(C=Cc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+COc1cc(C=Cc2c[nH]c3ccccc23)cc(OC)c1; [None]; [None]; [0]
+COc1cc(C=Cc2c[nH]c3ccccc23)ccc1O; [None]; [None]; [0]
+O=C1Nc2ccccc2C1=Cc1c[nH]c2ccccc12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+CCOc1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+COC(C)(C)CCc1cc(Cl)ccc1O; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cc(Cl)ccc2O)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1ccnc2ccccc12; [None]; [None]; [0]
+CCn1cc(-c2cc(Cl)ccc2O)cn1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1ccccc1OC(F)(F)F; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc(Cl)ccc3O)cc2c1=O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+OCCn1cc(-c2cc(Cl)ccc2O)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(Cl)ccc2O)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(Cl)ccc2O)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+COc1cnc(-c2cc(Cl)ccc2O)nc1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cc(Cl)ccc1Cl; [None]; [None]; [0]
+CC(C)C(=O)COc1cc(Cl)ccc1O; [None]; [None]; [0]
+Cc1ccc(-c2cc(Cl)ccc2O)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cnc2ccccn12; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc(Cl)ccc2O)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc(Cl)ccc2O)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cnc2cccnn12; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cccc(Br)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1NCc1cccnc1; [None]; [None]; [0]
 Cc1c(-c2cc(Cl)ccc2O)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cc(Cl)ccc2O)n1; [None]; [None]; [0]
 Oc1ccc(Cl)cc1-c1cnn2ncccc12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc(Cl)ccc2O)o1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1Nc1cccnc1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-n1cnc2ccccc21; [None]; [None]; [0]
+Oc1ccc(Cl)cc1NCCc1c[nH]cn1; [None]; [None]; [0]
+O=C(Nc1cc(Cl)ccc1O)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1c[nH]nc1C(F)(F)F; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cncc2ccccc12; [None]; [None]; [0]
+Oc1ccc(Cl)cc1NCCc1ccccc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cc(Cl)ccc3O)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cc(Cl)ccc3O)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cc(Cl)ccc3O)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(Cl)ccc3O)ccc21; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1ccc(-c2cn[nH]c2)cc1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1NCc1ccc(Cl)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(Cl)ccc2O)n1; [None]; [None]; [0]
+Oc1cccc(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
+OCc1cccc(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
 COc1cc(-c2cc(Cl)ccc2O)ccc1C(=O)[O-]; [None]; [None]; [0]
+Oc1ccc(Cl)cc1Nc1ccncc1; [None]; [None]; [0]
 CC(C)n1cc(-c2cc(Cl)ccc2O)nn1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1NCc1ccccc1F; [None]; [None]; [0]
+CSc1nc(-c2cc(Cl)ccc2O)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
 Oc1ccc(Cl)cc1CCc1c[nH]nn1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1csc2ncncc12; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cc2ccccc2[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
+Nc1nc(-c2cc(Cl)ccc2O)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cc(Cl)ccc3O)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc(Cl)ccc2O)cc1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
+NC(=O)CCCc1cc(Cl)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1Oc1ccccn1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cc(Cl)ccc1O; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
 O=C(Nc1cc(Cl)ccc1O)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2cc(Cl)ccc2O)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cc(Cl)ccc2O)CC1; [None]; [None]; [0]
 CC(C)(COc1cc(Cl)ccc1O)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cc(Cl)ccc2O)cc1Cl; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cnn2ccccc12; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2cc(Cl)ccc2O)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2cc(Cl)ccc2O)cn1; [None]; [None]; [0]
+O=c1cc(-c2cc(Cl)ccc2O)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cc(Cl)ccc3O)c21; [None]; [None]; [0]
+COc1cc(CCc2cc(Cl)ccc2O)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc(Cl)ccc2O)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
 C[C@@H](Oc1cc(Cl)ccc1O)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cc(Cl)ccc2O)cc1; [None]; [None]; [0]
+CCN(CC)c1cc(Cl)ccc1O; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cc(Cl)ccc3O)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cc(Cl)ccc3O)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1cc(Cl)ccc1O; [None]; [None]; [0]
 Oc1ccc(Cl)cc1Nc1cnccc1-c1ccccc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc(Cl)ccc2O)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1Nc1cnc2ccccc2c1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
+CC1(c2cc(Cl)ccc2O)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cc(Cl)ccc1O)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(Cl)ccc2O)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(Cl)ccc2O)cc1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cc(Cl)ccc2O)cc1; [None]; [None]; [0]
+Cc1cc(-c2cc(Cl)ccc2O)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cc(Cl)ccc1O)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2cc(Cl)ccc2O)n1; [None]; [None]; [0]
+OCCc1cn(-c2cc(Cl)ccc2O)cn1; [None]; [None]; [0]
+C[C@H](Nc1cc(Cl)ccc1O)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cc(Cl)ccc1O)C(C)(C)O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1c(F)cccc1Cl; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-n1ncc2ccccc21; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-n1ncc2c(O)cccc21; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cc(Cl)ccc3O)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc(Cl)ccc2O)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cc(Cl)ccc2O)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cc(Cl)ccc2O)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc(Cl)ccc2O)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1nncn1C1CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cc(Cl)ccc2O)n1; [None]; [None]; [0]
 Oc1ccc(Cl)cc1Cc1nnc2ccc(-c3ccccc3)nn12; [None]; [None]; [0]
+O=C(CCc1cc(Cl)ccc1O)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1cc(Cl)ccc1O)NCc1ccccn1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+CCc1cc(-c2cc(Cl)ccc2O)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cc(Cl)ccc2O)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cc(Cl)ccc2O)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(Cl)ccc2O)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(Cl)ccc2O)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cc(Cl)ccc2O)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(Cl)ccc2O)CC1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1nc2ccccc2s1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cc(Cl)ccc3O)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(Cl)ccc3O)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cc(Cl)ccc2O)n1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1cccc2ccsc12; [None]; [None]; [0]
 Oc1ccc(Cl)cc1-c1cccc2nnsc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(Cl)ccc2O)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cc(Cl)ccc2O)nc2ccccc12; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+OCCn1cnc(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
 COc1ccc(Oc2cc(Cl)ccc2O)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc(Cl)ccc2O)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cc(Cl)ccc2O)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
+COc1ncccc1-c1cc(Cl)ccc1O; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc(Cl)ccc2O)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(Cl)ccc2O)cnn1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
+Oc1ccc(Cl)cc1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cc(Cl)ccc2O)c1)C1CCNCC1; [None]; [None]; [0]
+Oc1cccc(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
+Oc1cccc2ccc(-c3cccc4ncccc34)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(-c3c(Cl)ccc4c3OCO4)nc12; [None]; [None]; [0]
+Oc1cc(-c2ccc3cccc(O)c3n2)ccc1Cl; [None]; [None]; [0]
+Oc1cccc2ccc(-c3n[nH]c4ccccc34)nc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
+Oc1cccc2ccc(-c3c(Cl)cccc3Cl)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(Oc3ccc(F)cc3)nc12; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3cccc(O)c3n2)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2ccc3cccc(O)c3n2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+Oc1ccc(-c2ccc3cccc(O)c3n2)c(F)c1; [None]; [None]; [0]
+Nc1nccc(-c2ccc3cccc(O)c3n2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc4cccc(O)c4n3)cc2[nH]1; [None]; [None]; [0]
+Oc1cccc2ccc(-c3cn[nH]c3Cl)nc12; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3ccc4cccc(O)c4n3)cc2)c(O)c1; [None]; [None]; [0]
+COc1cc(-c2ccc3cccc(O)c3n2)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc3cccc(O)c3n2)o1; [None]; [None]; [0]
+COc1cc(CCc2ccc3cccc(O)c3n2)ccc1O; [None]; [None]; [0]
+Oc1cccc2ccc(-c3cccc(Br)c3)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(-c3ccc4ccccc4c3)nc12; [None]; [None]; [0]
+Oc1ccc(-c2ccc3cccc(O)c3n2)cc1F; [None]; [None]; [0]
+Cn1cc(-c2ccc3cccc(O)c3n2)c2ccccc21; [None]; [None]; [0]
+Oc1ccc(-c2ccc3cccc(O)c3n2)c(O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
 Oc1cccc2ccc(-c3cnn4ncccc34)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(-c3c[nH]c4cnccc34)nc12; [None]; [None]; [0]
+Nc1cc(-c2ccc3cccc(O)c3n2)ccn1; [None]; [None]; [0]
+Oc1cccc2ccc(COc3ccccc3Cl)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(-c3ccc(F)c(Cl)c3)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)nc12; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+Oc1ncc(-c2ccc3cccc(O)c3n2)cc1Cl; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccc3cccc(O)c3n2)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
+COc1ccc(-c2ccc3cccc(O)c3n2)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc4cccc(O)c4n3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4cccc(O)c4n3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc3cccc(O)c3n2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
+Oc1cccc2ccc(-c3cnc4[nH]ccc4c3)nc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
+Oc1cccc2ccc(-c3nc4ccccc4s3)nc12; [None]; [None]; [0]
+Oc1cncc(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3ccc4cccc(O)c4n3)ccc2N1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3cccc(O)c3n2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccc4cccc(O)c4n3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc3cccc(O)c3n2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+Oc1cccc2ccc(-c3cc(C(F)F)n[nH]3)nc12; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+Oc1cccc2ccc(-c3ccncc3Cl)nc12; [None]; [None]; [0]
+CCc1sccc1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2ccc3cccc(O)c3n2)cc1Cl; [None]; [None]; [0]
+CNc1nc(-c2ccc3cccc(O)c3n2)ncc1F; [None]; [None]; [0]
+Oc1cccc2ccc(-c3ccc4c(c3)CCN4)nc12; [None]; [None]; [0]
 Oc1cccc2ccc(-c3cc(O)n4nccc4n3)nc12; [None]; [None]; [0]
-CN(c1ccc2cccc(O)c2n1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 Cc1oc(-c2ccc3cccc(O)c3n2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3ccc4cccc(O)c4n3)cc2[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+Oc1cccc2ccc(Nc3ccncc3)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(-c3ccc(Br)cc3F)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(-c3[nH]nc4ccc(F)cc34)nc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
+CN(c1ccc2cccc(O)c2n1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2ccc3cccc(O)c3n2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc3cccc(O)c3n2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4cccc(O)c4n3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2ccc3cccc(O)c3n2)cc(C)c1O; [None]; [None]; [0]
+Oc1c(F)cc(-c2ccc3cccc(O)c3n2)cc1F; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3ccc4cccc(O)c4n3)ccc12; [None]; [None]; [0]
+CSc1cccc(-c2ccc3cccc(O)c3n2)c1; [None]; [None]; [0]
+Oc1cccc2ccc(CCc3c[nH]c4ccccc34)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(OCc3cccc4ccccc34)nc12; [None]; [None]; [0]
 Oc1cccc2ccc(-c3ocnc3-c3ccc(F)cc3)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(Oc3ccc(F)cc3F)nc12; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1ccc2cccc(O)c2n1; [None]; [None]; [0]
+Oc1cccc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(OCc3ccc(F)cc3F)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(CCc3ccc(F)cc3F)nc12; [None]; [None]; [0]
+Oc1cccc2ccc(NCc3c(F)cccc3Cl)nc12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+COC(C)(C)CCc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc(OC(F)(F)F)c2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2ccnc3ccccc23)c1; [None]; [None]; [0]
+CCn1cc(-c2cccc(OC(F)(F)F)c2)cn1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2ccccc2OC(F)(F)F)c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cnn(Cc3ccccc3)c2)c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc(OC(F)(F)F)c3)cc2c1=O; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+OCCn1cc(-c2cccc(OC(F)(F)F)c2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cccc(OC(F)(F)F)c2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cccc(OC(F)(F)F)c2)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+COc1cnc(-c2cccc(OC(F)(F)F)c2)nc1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cc(Cl)ccc2Cl)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cc1ccc(-c2cccc(OC(F)(F)F)c2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cnc3ccccn23)c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cccc(OC(F)(F)F)c2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cccc(OC(F)(F)F)c2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cccc(Cn3cncn3)c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cccc(Br)c2)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(NCc2cccnc2)c1; [None]; [None]; [0]
 Cc1c(-c2cccc(OC(F)(F)F)c2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
 FC(F)(F)Oc1cccc(-c2cnn3ncccc23)c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccc(OC(F)(F)F)c2)o1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(Nc2cccnc2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-n2cnc3ccccc32)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(NCCc2c[nH]cn2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(OC(F)(F)F)c1)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2c[nH]nc2C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cncc3ccccc23)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(NCCc2ccccc2)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cccc(OC(F)(F)F)c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cccc(OC(F)(F)F)c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cccc(OC(F)(F)F)c3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cccc(OC(F)(F)F)c3)ccc21; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2ccc(-c3cn[nH]c3)cc2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(NCc2ccc(Cl)cc2)c1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
+Oc1cccc(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+OCc1cccc(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
 COc1cc(-c2cccc(OC(F)(F)F)c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(Nc2ccncc2)c1; [None]; [None]; [0]
 CC(C)n1cc(-c2cccc(OC(F)(F)F)c2)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CSc1nc(-c2cccc(OC(F)(F)F)c2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 FC(F)(F)Oc1cccc(CCc2c[nH]nn2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2csc3ncncc23)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cc3ccccc3[nH]2)c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+Nc1nc(-c2cccc(OC(F)(F)F)c2)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cccc(OC(F)(F)F)c3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cccc(OC(F)(F)F)c2)cc1; [None]; [None]; [0]
+Fc1ccc(-c2cccc(OC(F)(F)F)c2)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(Oc2ccccn2)c1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
 O=C(Nc1cccc(OC(F)(F)F)c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2cccc(OC(F)(F)F)c2)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cccc(OC(F)(F)F)c2)CC1; [None]; [None]; [0]
 CC(C)(COc1cccc(OC(F)(F)F)c1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cccc(OC(F)(F)F)c2)cc1Cl; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2cccc(OC(F)(F)F)c2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2cccc(OC(F)(F)F)c2)cn1; [None]; [None]; [0]
+O=c1cc(-c2cccc(OC(F)(F)F)c2)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cccc(OC(F)(F)F)c3)c21; [None]; [None]; [0]
+COc1cc(CCc2cccc(OC(F)(F)F)c2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 C[C@@H](Oc1cccc(OC(F)(F)F)c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; [None]; [None]; [0]
+CCN(CC)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cccc(OC(F)(F)F)c3)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cccc(OC(F)(F)F)c3)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 FC(F)(F)Oc1cccc(Nc2cnccc2-c2ccccc2)c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(Nc2cnc3ccccc3c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
+CC1(c2cccc(OC(F)(F)F)c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cccc(OC(F)(F)F)c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2cccc(OC(F)(F)F)c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cccc(OC(F)(F)F)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
+OCCc1cn(-c2cccc(OC(F)(F)F)c2)cn1; [None]; [None]; [0]
+C[C@H](Nc1cccc(OC(F)(F)F)c1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cccc(OC(F)(F)F)c1)C(C)(C)O; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-n2ncc3ccccc32)c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2ccc(-n3cncn3)cc2)c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cccc(OC(F)(F)F)c3)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc(OC(F)(F)F)c2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cccc(OC(F)(F)F)c2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cccc(OC(F)(F)F)c2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc(OC(F)(F)F)c2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2nncn2C2CC2)c1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
-O=S(=O)(Cc1cccc(OC(F)(F)F)c1)NCc1ccccn1; [None]; [None]; [0]
 FC(F)(F)Oc1cccc(Cc2nnc3ccc(-c4ccccc4)nn23)c1; [None]; [None]; [0]
+O=C(CCc1cccc(OC(F)(F)F)c1)NCc1ccccn1; [None]; [None]; [0]
+O=S(=O)(Cc1cccc(OC(F)(F)F)c1)NCc1ccccn1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cn(Cc3ccccc3)nn2)c1; [None]; [None]; [0]
+CCc1cc(-c2cccc(OC(F)(F)F)c2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc(OC(F)(F)F)c2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cccc(OC(F)(F)F)c2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc(OC(F)(F)F)c2)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cccc(OC(F)(F)F)c2)c(F)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc(OC(F)(F)F)c3)c2)cc1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc(OC(F)(F)F)c2)CC1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2nc3ccccc3s2)c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cccc(OC(F)(F)F)c3)nc2NC1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc(OC(F)(F)F)c3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2cccc3ccsc23)c1; [None]; [None]; [0]
 FC(F)(F)Oc1cccc(-c2cccc3nnsc23)c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc(OC(F)(F)F)c2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cccc(OC(F)(F)F)c2)nc2ccccc12; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+OCCn1cnc(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 COc1ccc(Oc2cccc(OC(F)(F)F)c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cccc(OC(F)(F)F)c2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc(OC(F)(F)F)c2)cnn1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(N2CCC(c3nc4ccccc4[nH]3)CC2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1cccc(N2CC=C(c3c[nH]c4ccccc34)CC2)c1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cccc(OC(F)(F)F)c2)c1)C1CCNCC1; [None]; [None]; [0]
+COc1cc(C=Cc2cccc(OC(C)C)c2)ccc1O; [None]; [None]; [0]
+CC(C)Oc1cccc(C=C2C(=O)Nc3ccc(Cl)cc32)c1; [None]; [None]; [0]
+CC(C)Oc1cccc(C=Cc2ccc(O)cc2)c1; [None]; [None]; [0]
+CC(C)Oc1cccc(C=Cc2ccc(O)cc2O)c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+COC(C)(C)CCc1ccc2ccccc2c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3ccccc3c2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ccc3ccccc3c2)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3ccnc4ccccc34)ccc2c1; [None]; [None]; [0]
+CCn1cc(-c2ccc3ccccc3c2)cn1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4ccccc4c3)cn2)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc4ccccc4c3)cc2c1=O; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3ccc4ccccc4c3)[nH]2)cc1; [None]; [None]; [0]
+OCCn1cc(-c2ccc3ccccc3c2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccc3ccccc3c2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccc3ccccc3c2)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1ccc2ccccc2c1; [None]; [None]; [0]
+Cc1ccc(-c2ccc3ccccc3c2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccc3ccccc3c2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccc3ccccc3c2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ccc2ccccc2c1; [None]; [None]; [0]
+c1cc(Cn2cncn2)cc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+Brc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+c1cncc(CNc2ccc3ccccc3c2)c1; [None]; [None]; [0]
 Cc1c(-c2ccc3ccccc3c2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
 c1ccc2cc(-c3cnn4ncccc34)ccc2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc3ccccc3c2)o1; [None]; [None]; [0]
+c1ccc2cc(-c3ccc4ccccc4c3)ccc2c1; [None]; [None]; [0]
+c1cncc(Nc2ccc3ccccc3c2)c1; [None]; [None]; [0]
+c1ccc2cc(-n3cnc4ccccc43)ccc2c1; [None]; [None]; [0]
+c1ccc2cc(NCCc3c[nH]cn3)ccc2c1; [None]; [None]; [0]
+O=C(Nc1ccc2ccccc2c1)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3cncc4ccccc34)ccc2c1; [None]; [None]; [0]
+c1ccc(CCNc2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccc4ccccc4c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc4ccccc4c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ccc4ccccc4c3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4ccccc4c3)ccc21; [None]; [None]; [0]
+c1ccc2cc(-c3ccc(-c4cn[nH]c4)cc3)ccc2c1; [None]; [None]; [0]
+Clc1ccc(CNc2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
+Oc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+OCc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
 COc1cc(-c2ccc3ccccc3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+c1ccc2cc(Nc3ccncc3)ccc2c1; [None]; [None]; [0]
 CC(C)n1cc(-c2ccc3ccccc3c2)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1ccc2ccccc2c1; [None]; [None]; [0]
+CSc1nc(-c2ccc3ccccc3c2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccc2ccccc2c1; [None]; [None]; [0]
 c1ccc2cc(CCc3c[nH]nn3)ccc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3csc4ncncc34)ccc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3cc4ccccc4[nH]3)ccc2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+Nc1nc(-c2ccc3ccccc3c2)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc4ccccc4c3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+Fc1ccc(-c2ccc3ccccc3c2)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1ccc2ccccc2c1; [None]; [None]; [0]
+c1ccc(Oc2ccc3ccccc3c2)nc1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1ccc2ccccc2c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
 O=C(Nc1ccc2ccccc2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ccc3ccccc3c2)CC1; [None]; [None]; [0]
 CC(C)(COc1ccc2ccccc2c1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2ccc3ccccc3c2)cc1Cl; [None]; [None]; [0]
+c1ccc2cc(-c3cnn4ccccc34)ccc2c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2ccc3ccccc3c2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2ccc3ccccc3c2)cn1; [None]; [None]; [0]
+O=c1cc(-c2ccc3ccccc3c2)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3ccc4ccccc4c3)c21; [None]; [None]; [0]
+COc1cc(CCc2ccc3ccccc3c2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
 C[C@@H](Oc1ccc2ccccc2c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+CCN(CC)c1ccc2ccccc2c1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ccc4ccccc4c3)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3ccc4ccccc4c3)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1ccc2ccccc2c1; [None]; [None]; [0]
 c1ccc(-c2ccncc2Nc2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc2ccccc2c1; [None]; [None]; [0]
+c1ccc2cc(Nc3cnc4ccccc4c3)ccc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3c[nH]c4cnccc34)ccc2c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3cnc4[nH]ccc4c3)ccc2c1; [None]; [None]; [0]
+CC1(c2ccc3ccccc3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1ccc2ccccc2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+c1ccc2cc(-c3ccc(N4CCOCC4)cc3)ccc2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc3ccccc3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1ccc2ccccc2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
+OCCc1cn(-c2ccc3ccccc3c2)cn1; [None]; [None]; [0]
+C[C@H](Nc1ccc2ccccc2c1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1ccc2ccccc2c1)C(C)(C)O; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1ccc2ccccc2c1; [None]; [None]; [0]
+c1ccc2cc(-n3ncc4ccccc43)ccc2c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ccc2ccccc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3ccc(-n4cncn4)cc3)ccc2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3ccc4ccccc4c3)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc3ccccc3c2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ccc3ccccc3c2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3ccccc3c2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3nncn3C3CC3)ccc2c1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ccc5ccccc5c4)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1ccc2ccccc2c1)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1ccc2ccccc2c1)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4ccccc4c3)nn2)cc1; [None]; [None]; [0]
+CCc1cc(-c2ccc3ccccc3c2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccc3ccccc3c2)nc(N)n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ccc2ccccc2c1; [None]; [None]; [0]
-CC1(C)Oc2ccc(-c3ccc4ccccc4c3)nc2NC1=O; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3ccccc3c2)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2ccc3ccccc3c2)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc3ccccc3c2)CC1; [None]; [None]; [0]
+c1ccc2cc(-c3nc4ccccc4s3)ccc2c1; [None]; [None]; [0]
+CC1(C)Oc2ccc(-c3ccc4ccccc4c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4ccccc4c3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
+c1ccc2cc(-c3cccc4ccsc34)ccc2c1; [None]; [None]; [0]
 c1ccc2cc(-c3cccc4nnsc34)ccc2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc3ccccc3c2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2ccc3ccccc3c2)nc2ccccc12; [None]; [None]; [0]
+c1ccc2cc(-c3ncc4ccccc4n3)ccc2c1; [None]; [None]; [0]
+c1ccc2cc(-c3c[nH]c4cccnc34)ccc2c1; [None]; [None]; [0]
+OCCn1cnc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+c1ccc2cc(-c3ncc4cc[nH]c4n3)ccc2c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc2ccccc2c1; [None]; [None]; [0]
 COc1ccc(Oc2ccc3ccccc3c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc3ccccc3c2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc3ccccc3c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc3ccccc3c2)cnn1; [None]; [None]; [0]
+c1ccc2cc(N3CCC(c4nc5ccccc5[nH]4)CC3)ccc2c1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3ccccc3c2)C1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ccc3ccccc3c2)c1)C1CCNCC1; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
 CCOc1ccccc1-c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
 COC(C)(C)CCc1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cc3c(C)[nH]nc3cn2)[nH]1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccccc3S(=O)(=O)C(C)C)cc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(Cc3cc(F)cc(F)c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccccc3P(C)(C)=O)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccnc4ccccc34)cc12; [None]; [None]; [0]
+CCn1cc(-c2cc3c(C)[nH]nc3cn2)cn1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2cnc(-c3ccccc3Br)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccccc3OC(F)(F)F)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccccc3C(=O)[O-])cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccccc3C(N)=O)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cnn(Cc4ccccc4)c3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3ccc4ncn(C)c(=O)c4c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2cnc([C@@H](N)c3ccco3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cnn(CCO)c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3csc(C(C)(C)C)n3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc(NC(=O)c4ccccc4)c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-n3ncc4cccc(F)c4c3=O)cc12; [None]; [None]; [0]
 COc1cnc(-c2cc3c(C)[nH]nc3cn2)nc1; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cc(Cl)ccc3Cl)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(OCC(=O)C(C)C)cc12; [None]; [None]; [0]
 Cc1ccc(-c2cc3c(C)[nH]nc3cn2)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
@@ -59369,44 +36370,53 @@ CNc1nc(C)c(-c2cc3c(C)[nH]nc3cn2)s1; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
-Cc1ccc(Cl)c(-c2cc3c(C)[nH]nc3cn2)c1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cccc(Br)c3)cc12; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc3c(C)[nH]nc3cn2)c1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(NCc3cccnc3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3sc(=O)n(C)c3C)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccnc(N)n3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cnn4ncccc34)cc12; [None]; [None]; [0]
-COc1cccc(-c2cc3c(C)[nH]nc3cn2)c1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccc4ccccc4c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(Nc3cccnc3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-n3cnc4ccccc43)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(NCCc3c[nH]cn3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2cnc(Cc3ncc(C(C)(C)C)o3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(NC(=O)c3cccs3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc(CC(=O)[O-])c3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3c[nH]nc3C(F)(F)F)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cccc(F)c3C(N)=O)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cncc4ccccc34)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(NCCc3ccccc3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccc(-c4cnn(C)c4)cc3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccc4c(N)[nH]nc4c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccc4c(c3)CS(=O)(=O)N4C)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccc4c(cnn4C)c3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3ccc(-c4cn[nH]c4)cc3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(NCc3ccc(Cl)cc3)cc12; [None]; [None]; [0]
 CCCn1cnc(-c2cc3c(C)[nH]nc3cn2)n1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc(O)c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc(CO)c3)cc12; [None]; [None]; [0]
 COc1cc(-c2cc3c(C)[nH]nc3cn2)ccc1C(=O)[O-]; [None]; [None]; [0]
 Cc1[nH]nc2cnc(Nc3ccncc3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cn(C(C)C)nn3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(NCc3ccccc3F)cc12; [None]; [None]; [0]
 CSc1nc(-c2cc3c(C)[nH]nc3cn2)c[nH]1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cnoc3C(C)C)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(CCc3c[nH]nn3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3csc4ncncc34)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cc4ccccc4[nH]3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc(CCC#N)c3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3csc(N)n3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cncnc3N)cc12; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cc4c(C)[nH]nc4cn3)cc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cc3c(C)[nH]nc3cn2)cc1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccc(F)cc3C(F)(F)F)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(CCCC(N)=O)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(Oc3ccccn3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(CCNC(=O)CC(C)(C)O)cc12; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cc3c(C)[nH]nc3cn2)c1; [None]; [None]; [0]
-Cc1[nH]nc2cnc(-c3cn(C)c4ccccc34)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(NC(=O)c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cn(C)c4ccccc34)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(N3CCC(S(C)(=O)=O)CC3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(OCC(C)(C)S(C)(=O)=O)cc12; [None]; [None]; [0]
 COc1ccc(-c2cc3c(C)[nH]nc3cn2)cc1Cl; [None]; [None]; [0]
@@ -59417,18 +36427,20 @@ Cc1[nH]nc2cnc(-c3cc[nH]c(=O)c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc4c3C(=O)CC4)cc12; [None]; [None]; [0]
 COc1cc(CCc2cc3c(C)[nH]nc3cn2)cc(OC)c1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccc(C(C)(C)N)cc3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2cnc(-c3ccc([S@](C)=O)cc3)cc12; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(O[C@H](C)c3c(Cl)cncc3Cl)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3ccc([S@](C)=O)cc3)cc12; [None]; [None]; [0]
 CCN(CC)c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cc4c(=O)[nH]ccc4o3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cc4c(=O)[nH]cc(Br)c4s3)cc12; [None]; [None]; [0]
-Cc1[nH]nc2cnc(-c3c[nH]c4ccccc34)cc12; [None]; [None]; [0]
 COc1ccncc1Nc1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(Nc3cnccc3-c3ccccc3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cncc(OC(C)C)c3)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3ccc(C(C)(C)C)cc3)cc12; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(Nc3cnc4ccccc4c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3c[nH]c4cnccc34)cc12; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
-Cc1[nH]nc2cnc([C@H](CO)Cc3ccccc3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cnc4[nH]ccc4c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(C3(C)CCN(S(C)(=O)=O)CC3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)cc12; [None]; [None]; [0]
@@ -59442,15 +36454,15 @@ Cc1[nH]nc2cnc(-n3ccc(CO)n3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-n3cnc(CCO)c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(N[C@@H](C)C(C)(C)O)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(N[C@H](C)C(C)(C)O)cc12; [None]; [None]; [0]
-Cc1[nH]nc2cnc(-c3cccc(F)c3C(N)=O)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3c(F)cccc3Cl)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-n3ncc4ccccc43)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-n3ncc4c(O)cccc43)cc12; [None]; [None]; [0]
-Cc1[nH]nc2cnc(-c3cccnc3O)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3nc4ccc(O)cc4[nH]3)cc12; [None]; [None]; [0]
-COc1ccc(-c2cc3c(C)[nH]nc3cn2)c(OC)c1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cc3c(C)[nH]nc3cn2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cc3c(C)[nH]nc3cn2)c(OC)c1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccc(C(=O)c4ccccc4)cc3)cc12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc3c(C)[nH]nc3cn2)CC1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3nncn3C(C)C)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccn(CC[NH3+])n3)cc12; [None]; [None]; [0]
@@ -59460,306 +36472,1625 @@ Cc1[nH]nc2cnc(CS(=O)(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cn(Cc4ccccc4)nn3)cc12; [None]; [None]; [0]
 CCc1cc(-c2cc3c(C)[nH]nc3cn2)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2cc3c(C)[nH]nc3cn2)nc(N)n1; [None]; [None]; [0]
-Cc1[nH]nc2cnc(-c3cnc(N)s3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3nnc(N)s3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cc(C(N)=O)cn3C)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cccc(C(C)(C)O)n3)cc12; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc3c(C)[nH]nc3cn2)s1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(Oc3ccc(C[NH3+])cc3F)cc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc3c(C)[nH]nc3cn2)CC1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3nc4ccccc4s3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)cc12; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4c(C)[nH]nc4cn3)c2)cc1; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cncc(N)n3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc4ccsc34)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc4nnsc34)cc12; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cc3c(C)[nH]nc3cn2)[nH]1; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3nc(N)c4ccccc4n3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3c[nH]c4cccnc34)cc12; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cn(CCO)cn3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
 COc1ccc(Oc2cc3c(C)[nH]nc3cn2)c(F)c1F; [None]; [None]; [0]
-Cc1[nH]nc2cnc(Cc3ccccc3NS(C)(=O)=O)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc([C@H]3CC[C@@](C)(O)CC3)cc12; [None]; [None]; [0]
 COc1ccc(OC)c(-c2cc3c(C)[nH]nc3cn2)c1; [None]; [None]; [0]
-Cc1[nH]nc2cnc(-c3cccc(C(C)(C)O)n3)cc12; [None]; [None]; [0]
+COc1ncccc1-c1cc2c(C)[nH]nc2cn1; [None]; [None]; [0]
+Cc1[nH]nc2cnc(-c3cccc(S(=O)(=O)N(C)C)c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cnnc(N(C)C)c3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(N3CCC(c4nc5ccccc5[nH]4)CC3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(N3CC=C(c4c[nH]c5ccccc45)CC3)cc12; [None]; [None]; [0]
 Cc1[nH]nc2cnc(-c3cccc(NC(=O)C4CCNCC4)c3)cc12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+COC(C)(C)CCc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc3c(=O)n(C)cnc23)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+Cn1cnc2c(Cc3cc(F)cc(F)c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ccccc3P(C)(C)=O)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ccnc4ccccc34)cccc2c1=O; [None]; [None]; [0]
+CCn1cc(-c2cccc3c(=O)n(C)cnc23)cn1; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc(C(F)(F)F)c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ccccc3OC(F)(F)F)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ccccc3C(=O)[O-])cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ccccc3C(N)=O)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cnn(Cc4ccccc4)c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc4c(=O)n(C)cnc34)cc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cnc(-c4ccccc4)[nH]3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cnn(CCO)c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3csc(C(C)(C)C)n3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc(NC(=O)c4ccccc4)c3)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(-n3ncc4cccc(F)c4c3=O)cccc2c1=O; [None]; [None]; [0]
+COc1cnc(-c2cccc3c(=O)n(C)cnc23)nc1; [None]; [None]; [0]
+Cn1cnc2c(-c3cc(Cl)ccc3Cl)cccc2c1=O; [None]; [None]; [0]
+CC(C)C(=O)COc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+Cc1ccc(-c2cccc3c(=O)n(C)cnc23)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+Cn1cnc2c(-c3cnc4ccccn34)cccc2c1=O; [None]; [None]; [0]
+Cc1nc(C)c(-c2cccc3c(=O)n(C)cnc23)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cccc3c(=O)n(C)cnc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+Cn1cnc2c(-c3cnc4cccnn34)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3c(Cl)cccc3Cl)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc(Cn4cncn4)c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc(Br)c3)cccc2c1=O; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
+Cn1cnc2c(NCc3cccnc3)cccc2c1=O; [None]; [None]; [0]
 Cc1c(-c2cccc3c(=O)n(C)cnc23)sc(=O)n1C; [None]; [None]; [0]
+Cn1cnc2c(-c3ccnc(N)n3)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(-c3cnn4ncccc34)cccc2c1=O; [None]; [None]; [0]
-Cn1cnc2c(Cc3ncc(C(C)(C)C)o3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc4ccccc4c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(Nc3cccnc3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-n3cnc4ccccc43)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(NCCc3c[nH]cn3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(NC(=O)c3cccs3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc(CC(=O)[O-])c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3c[nH]nc3C(F)(F)F)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc(F)c3C(N)=O)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cncc4ccccc34)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(NCCc3ccccc3)cccc2c1=O; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cccc4c(=O)n(C)cnc34)cc2)cn1; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc4c(N)[nH]nc4c3)cccc2c1=O; [None]; [None]; [0]
 CN1c2ccc(-c3cccc4c(=O)n(C)cnc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc4c(cnn4C)c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc(-c4cn[nH]c4)cc3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(NCc3ccc(Cl)cc3)cccc2c1=O; [None]; [None]; [0]
+CCCn1cnc(-c2cccc3c(=O)n(C)cnc23)n1; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc(O)c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc(CO)c3)cccc2c1=O; [None]; [None]; [0]
 COc1cc(-c2cccc3c(=O)n(C)cnc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Cn1cnc2c(Nc3ccncc3)cccc2c1=O; [None]; [None]; [0]
 CC(C)n1cc(-c2cccc3c(=O)n(C)cnc23)nn1; [None]; [None]; [0]
+Cn1cnc2c(NCc3ccccc3F)cccc2c1=O; [None]; [None]; [0]
+CSc1nc(-c2cccc3c(=O)n(C)cnc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
 Cn1cnc2c(CCc3c[nH]nn3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3csc4ncncc34)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cc4ccccc4[nH]3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc(CCC#N)c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3csc(N)n3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cncnc3N)cccc2c1=O; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cccc4c(=O)n(C)cnc34)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cccc3c(=O)n(C)cnc23)cc1; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc(F)cc3C(F)(F)F)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(CCCC(N)=O)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(Oc3ccccn3)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(CCNC(=O)CC(C)(C)O)cccc2c1=O; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
 Cn1cnc2c(NC(=O)c3c(Cl)cccc3Cl)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cn(C)c4ccccc34)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(N3CCC(S(C)(=O)=O)CC3)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(OCC(C)(C)S(C)(=O)=O)cccc2c1=O; [None]; [None]; [0]
+COc1ccc(-c2cccc3c(=O)n(C)cnc23)cc1Cl; [None]; [None]; [0]
+Cn1cnc2c(-c3cnn4ccccc34)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cccc2c1=O; [None]; [None]; [0]
+CCCn1cc(-c2cccc3c(=O)n(C)cnc23)cn1; [None]; [None]; [0]
+Cn1cnc2c(-c3cc[nH]c(=O)c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc4c3C(=O)CC4)cccc2c1=O; [None]; [None]; [0]
+COc1cc(CCc2cccc3c(=O)n(C)cnc23)cc(OC)c1; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc(C(C)(C)N)cc3)cccc2c1=O; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
 C[C@@H](Oc1cccc2c(=O)n(C)cnc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc([S@](C)=O)cc3)cccc2c1=O; [None]; [None]; [0]
+CCN(CC)c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+Cn1cnc2c(-c3cc4c(=O)[nH]ccc4o3)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(-c3cc4c(=O)[nH]cc(Br)c4s3)cccc2c1=O; [None]; [None]; [0]
+COc1ccncc1Nc1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
 Cn1cnc2c(Nc3cnccc3-c3ccccc3)cccc2c1=O; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc(C(C)(C)C)cc3)cccc2c1=O; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+Cn1cnc2c(Nc3cnc4ccccc4c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3c[nH]c4cnccc34)cccc2c1=O; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+Cn1cnc2c(-c3cnc4[nH]ccc4c3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(C3(C)CCN(S(C)(=O)=O)CC3)cccc2c1=O; [None]; [None]; [0]
 CN(c1cccc2c(=O)n(C)cnc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)cccc2c1=O; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3c(=O)n(C)cnc23)cc1; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc(N4CCOCC4)cc3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc(S(C)(=O)=O)cc3)cccc2c1=O; [None]; [None]; [0]
+Cc1cc(-c2cccc3c(=O)n(C)cnc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cccc2c(=O)n(C)cnc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cn1cnc2c(-n3ccc(CO)n3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-n3cnc(CCO)c3)cccc2c1=O; [None]; [None]; [0]
+C[C@H](Nc1cccc2c(=O)n(C)cnc12)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cccc2c(=O)n(C)cnc12)C(C)(C)O; [None]; [None]; [0]
+Cn1cnc2c(-c3c(F)cccc3Cl)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-n3ncc4ccccc43)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-n3ncc4c(O)cccc43)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc(-n4cncn4)cc3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3nc4ccc(O)cc4[nH]3)cccc2c1=O; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc3c(=O)n(C)cnc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cccc3c(=O)n(C)cnc23)c(OC)c1; [None]; [None]; [0]
+Cn1cnc2c(-c3ccc(C(=O)c4ccccc4)cc3)cccc2c1=O; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc3c(=O)n(C)cnc23)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+Cn1cnc2c(-c3nncn3C3CC3)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(-c3ccn(CC[NH3+])n3)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(Cc3nnc4ccc(-c5ccccc5)nn34)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(CCC(=O)NCc3ccccn3)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(CS(=O)(=O)NCc3ccccn3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cn(Cc4ccccc4)nn3)cccc2c1=O; [None]; [None]; [0]
+CCc1cc(-c2cccc3c(=O)n(C)cnc23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc3c(=O)n(C)cnc23)nc(N)n1; [None]; [None]; [0]
+Cn1cnc2c(-c3nnc(N)s3)cccc2c1=O; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc(C(C)(C)O)n3)cccc2c1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3c(=O)n(C)cnc23)s1; [None]; [None]; [0]
 Cn1cnc2c(Oc3ccc(C[NH3+])cc3F)cccc2c1=O; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc3c(=O)n(C)cnc23)CC1; [None]; [None]; [0]
+Cn1cnc2c(-c3nc4ccccc4s3)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(-c3ccc4c(n3)NC(=O)C(C)(C)O4)cccc2c1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc4c(=O)n(C)cnc34)c2)cc1; [None]; [None]; [0]
+Cn1cnc2c(-c3cncc(N)n3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cccc4ccsc34)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(-c3cccc4nnsc34)cccc2c1=O; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc3c(=O)n(C)cnc23)[nH]1; [None]; [None]; [0]
+Cn1cnc2c(-c3nc(N)c4ccccc4n3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ncc4ccccc4n3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3c[nH]c4cccnc34)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3cn(CCO)cn3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(-c3ncc4cc[nH]c4n3)cccc2c1=O; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
 COc1ccc(Oc2cccc3c(=O)n(C)cnc23)c(F)c1F; [None]; [None]; [0]
-Cn1cnc2c(-c3cccc(C(C)(C)O)n3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c([C@H]3CC[C@@](C)(O)CC3)cccc2c1=O; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
+COc1ncccc1-c1cccc2c(=O)n(C)cnc12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccc3c(=O)n(C)cnc23)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc3c(=O)n(C)cnc23)cnn1; [None]; [None]; [0]
+Cn1cnc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cccc2c1=O; [None]; [None]; [0]
+Cn1cnc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)cccc2c1=O; [None]; [None]; [0]
 Cn1cnc2c(-c3cccc(NC(=O)C4CCNCC4)c3)cccc2c1=O; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+CCOc1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+COC(C)(C)CCc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2c[nH]c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3ccnc4ccccc34)c2c1; [None]; [None]; [0]
+CCn1cc(-c2c[nH]c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cnn(Cc4ccccc4)c3)c2c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3c[nH]c4ccc(Cl)cc34)cc2c1=O; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cnc(-c4ccccc4)[nH]3)c2c1; [None]; [None]; [0]
+OCCn1cc(-c2c[nH]c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2c[nH]c3ccc(Cl)cc23)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+COc1cnc(-c2c[nH]c3ccc(Cl)cc23)nc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Cc1ccc(-c2c[nH]c3ccc(Cl)cc23)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cnc4ccccn34)c2c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2c[nH]c3ccc(Cl)cc23)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2c[nH]c3ccc(Cl)cc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cnc4cccnn34)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3c(Cl)cccc3Cl)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cccc(Cn4cncn4)c3)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cccc(Br)c3)c2c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(NCc3cccnc3)c2c1; [None]; [None]; [0]
 Cc1c(-c2c[nH]c3ccc(Cl)cc23)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2c[nH]c3ccc(Cl)cc23)n1; [None]; [None]; [0]
 Clc1ccc2[nH]cc(-c3cnn4ncccc34)c2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2c[nH]c3ccc(Cl)cc23)o1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3ccc4ccccc4c3)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(Nc3cccnc3)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-n3cnc4ccccc43)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(NCCc3c[nH]cn3)c2c1; [None]; [None]; [0]
+O=C(Nc1c[nH]c2ccc(Cl)cc12)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cncc4ccccc34)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(NCCc3ccccc3)c2c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3c[nH]c4ccc(Cl)cc34)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3c[nH]c4ccc(Cl)cc34)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3c[nH]c4ccc(Cl)cc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3c[nH]c4ccc(Cl)cc34)ccc21; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3ccc(-c4cn[nH]c4)cc3)c2c1; [None]; [None]; [0]
+Clc1ccc(CNc2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2c[nH]c3ccc(Cl)cc23)n1; [None]; [None]; [0]
+Oc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+OCc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
 COc1cc(-c2c[nH]c3ccc(Cl)cc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Clc1ccc2[nH]cc(Nc3ccncc3)c2c1; [None]; [None]; [0]
 CC(C)n1cc(-c2c[nH]c3ccc(Cl)cc23)nn1; [None]; [None]; [0]
-CC(C)(O)CC(=O)NCCc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Fc1ccccc1CNc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+CSc1nc(-c2c[nH]c3ccc(Cl)cc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
 Clc1ccc2[nH]cc(CCc3c[nH]nn3)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3csc4ncncc34)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cc4ccccc4[nH]3)c2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+Nc1nc(-c2c[nH]c3ccc(Cl)cc23)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+CCNc1nc2ccc(-c3c[nH]c4ccc(Cl)cc34)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+Fc1ccc(-c2c[nH]c3ccc(Cl)cc23)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(Oc3ccccn3)c2c1; [None]; [None]; [0]
+CC(C)(O)CC(=O)NCCc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
 O=C(Nc1c[nH]c2ccc(Cl)cc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2c[nH]c3ccc(Cl)cc23)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2c[nH]c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
+CC(C)(COc1c[nH]c2ccc(Cl)cc12)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1Cl; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cnn4ccccc34)c2c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2c[nH]c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
+O=c1cc(-c2c[nH]c3ccc(Cl)cc23)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3c[nH]c4ccc(Cl)cc34)c21; [None]; [None]; [0]
+COc1cc(CCc2c[nH]c3ccc(Cl)cc23)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
 C[C@@H](Oc1c[nH]c2ccc(Cl)cc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-CC(C)(COc1c[nH]c2ccc(Cl)cc12)S(C)(=O)=O; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CCN(CC)c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3c[nH]c4ccc(Cl)cc34)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3c[nH]c4ccc(Cl)cc34)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
 Clc1ccc2[nH]cc(Nc3cnccc3-c3ccccc3)c2c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(Nc3cnc4ccccc4c3)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3c[nH]c4cnccc34)c2c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cnc4[nH]ccc4c3)c2c1; [None]; [None]; [0]
+CC1(c2c[nH]c3ccc(Cl)cc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1c[nH]c2ccc(Cl)cc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3ccc(N4CCOCC4)cc3)c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+Cc1cc(-c2c[nH]c3ccc(Cl)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1c[nH]c2ccc(Cl)cc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2c[nH]c3ccc(Cl)cc23)n1; [None]; [None]; [0]
+OCCc1cn(-c2c[nH]c3ccc(Cl)cc23)cn1; [None]; [None]; [0]
+C[C@H](Nc1c[nH]c2ccc(Cl)cc12)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1c[nH]c2ccc(Cl)cc12)C(C)(C)O; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-n3ncc4ccccc43)c2c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3ccc(-n4cncn4)cc3)c2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3c[nH]c4ccc(Cl)cc34)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2c[nH]c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3ccc(Cl)cc23)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2c[nH]c3ccc(Cl)cc23)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2c[nH]c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3nncn3C3CC3)c2c1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2c[nH]c3ccc(Cl)cc23)n1; [None]; [None]; [0]
 Clc1ccc2[nH]cc(Cc3nnc4ccc(-c5ccccc5)nn34)c2c1; [None]; [None]; [0]
+O=C(CCc1c[nH]c2ccc(Cl)cc12)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1c[nH]c2ccc(Cl)cc12)NCc1ccccn1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cn(Cc4ccccc4)nn3)c2c1; [None]; [None]; [0]
+CCc1cc(-c2c[nH]c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2c[nH]c3ccc(Cl)cc23)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2c[nH]c3ccc(Cl)cc23)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2c[nH]c3ccc(Cl)cc23)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c[nH]c3ccc(Cl)cc23)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2c[nH]c3ccc(Cl)cc23)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2c[nH]c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3nc4ccccc4s3)c2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3c[nH]c4ccc(Cl)cc34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3c[nH]c4ccc(Cl)cc34)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2c[nH]c3ccc(Cl)cc23)n1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3cccc4ccsc34)c2c1; [None]; [None]; [0]
 Clc1ccc2[nH]cc(-c3cccc4nnsc34)c2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c[nH]c3ccc(Cl)cc23)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2c[nH]c3ccc(Cl)cc23)nc2ccccc12; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3ncc4ccccc4n3)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3c[nH]c4cccnc34)c2c1; [None]; [None]; [0]
+OCCn1cnc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(-c3ncc4cc[nH]c4n3)c2c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
 COc1ccc(Oc2c[nH]c3ccc(Cl)cc23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2c[nH]c3ccc(Cl)cc23)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2c[nH]c3ccc(Cl)cc23)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+COc1ncccc1-c1c[nH]c2ccc(Cl)cc12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2c[nH]c3ccc(Cl)cc23)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2c[nH]c3ccc(Cl)cc23)cnn1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(N3CCC(c4nc5ccccc5[nH]4)CC3)c2c1; [None]; [None]; [0]
+Clc1ccc2[nH]cc(N3CC=C(c4c[nH]c5ccccc45)CC3)c2c1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2c[nH]c3ccc(Cl)cc23)c1)C1CCNCC1; [None]; [None]; [0]
+COc1cc(C=Cc2cccc(OC)c2OC)ccc1O; [None]; [None]; [0]
+COc1cccc(C=C2C(=O)Nc3ccc(Cl)cc32)c1OC; [None]; [None]; [0]
+COc1cccc(C=Cc2ccc(O)cc2)c1OC; [None]; [None]; [0]
+COc1cccc(C=Cc2ccc(O)cc2O)c1OC; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+CCOc1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+COC(C)(C)CCc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2c[nH]c3ccc(Br)cc23)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3ccnc4ccccc34)c2c1; [None]; [None]; [0]
+CCn1cc(-c2c[nH]c3ccc(Br)cc23)cn1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cnn(Cc4ccccc4)c3)c2c1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3c[nH]c4ccc(Br)cc34)cc2c1=O; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cnc(-c4ccccc4)[nH]3)c2c1; [None]; [None]; [0]
+OCCn1cc(-c2c[nH]c3ccc(Br)cc23)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2c[nH]c3ccc(Br)cc23)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2c[nH]c3ccc(Br)cc23)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
-Brc1ccc2[nH]cc(-c3cnn4ncccc34)c2c1; [None]; [None]; [0]
+COc1cnc(-c2c[nH]c3ccc(Br)cc23)nc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Cc1ccc(-c2c[nH]c3ccc(Br)cc23)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cnc4ccccn34)c2c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2c[nH]c3ccc(Br)cc23)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2c[nH]c3ccc(Br)cc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cnc4cccnn34)c2c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cccc(Cn4cncn4)c3)c2c1; [None]; [None]; [0]
+Brc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(NCc3cccnc3)c2c1; [None]; [None]; [0]
 Cc1c(-c2c[nH]c3ccc(Br)cc23)sc(=O)n1C; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2c[nH]c3ccc(Br)cc23)o1; [None]; [None]; [0]
+Nc1nccc(-c2c[nH]c3ccc(Br)cc23)n1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cnn4ncccc34)c2c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3ccc4ccccc4c3)c2c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(Nc3cccnc3)c2c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-n3cnc4ccccc43)c2c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(NCCc3c[nH]cn3)c2c1; [None]; [None]; [0]
+O=C(Nc1c[nH]c2ccc(Br)cc12)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cncc4ccccc34)c2c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(NCCc3ccccc3)c2c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3c[nH]c4ccc(Br)cc34)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3c[nH]c4ccc(Br)cc34)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3c[nH]c4ccc(Br)cc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3c[nH]c4ccc(Br)cc34)ccc21; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3ccc(-c4cn[nH]c4)cc3)c2c1; [None]; [None]; [0]
+Clc1ccc(CNc2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2c[nH]c3ccc(Br)cc23)n1; [None]; [None]; [0]
+Oc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+OCc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
 COc1cc(-c2c[nH]c3ccc(Br)cc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Brc1ccc2[nH]cc(Nc3ccncc3)c2c1; [None]; [None]; [0]
 CC(C)n1cc(-c2c[nH]c3ccc(Br)cc23)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+CSc1nc(-c2c[nH]c3ccc(Br)cc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
 Brc1ccc2[nH]cc(CCc3c[nH]nn3)c2c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3csc4ncncc34)c2c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cc4ccccc4[nH]3)c2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+Nc1nc(-c2c[nH]c3ccc(Br)cc23)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+CCNc1nc2ccc(-c3c[nH]c4ccc(Br)cc34)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
+Fc1ccc(-c2c[nH]c3ccc(Br)cc23)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(Oc3ccccn3)c2c1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
 O=C(Nc1c[nH]c2ccc(Br)cc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2c[nH]c3ccc(Br)cc23)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2c[nH]c3ccc(Br)cc23)CC1; [None]; [None]; [0]
 CC(C)(COc1c[nH]c2ccc(Br)cc12)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3ccc(Br)cc23)cc1Cl; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cnn4ccccc34)c2c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2c[nH]c3ccc(Br)cc23)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2c[nH]c3ccc(Br)cc23)cn1; [None]; [None]; [0]
+O=c1cc(-c2c[nH]c3ccc(Br)cc23)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3c[nH]c4ccc(Br)cc34)c21; [None]; [None]; [0]
+COc1cc(CCc2c[nH]c3ccc(Br)cc23)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
 C[C@@H](Oc1c[nH]c2ccc(Br)cc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
-Brc1ccc2[nH]cc(Nc3cnccc3-c3ccccc3)c2c1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
+CCN(CC)c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3c[nH]c4ccc(Br)cc34)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3c[nH]c4ccc(Br)cc34)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(Nc3cnccc3-c3ccccc3)c2c1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(Nc3cnc4ccccc4c3)c2c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3c[nH]c4cnccc34)c2c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cnc4[nH]ccc4c3)c2c1; [None]; [None]; [0]
+CC1(c2c[nH]c3ccc(Br)cc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1c[nH]c2ccc(Br)cc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3ccc(N4CCOCC4)cc3)c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
+Cc1cc(-c2c[nH]c3ccc(Br)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1c[nH]c2ccc(Br)cc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2c[nH]c3ccc(Br)cc23)n1; [None]; [None]; [0]
+OCCc1cn(-c2c[nH]c3ccc(Br)cc23)cn1; [None]; [None]; [0]
+C[C@H](Nc1c[nH]c2ccc(Br)cc12)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1c[nH]c2ccc(Br)cc12)C(C)(C)O; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-n3ncc4ccccc43)c2c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3ccc(-n4cncn4)cc3)c2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3c[nH]c4ccc(Br)cc34)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2c[nH]c3ccc(Br)cc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3ccc(Br)cc23)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2c[nH]c3ccc(Br)cc23)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2c[nH]c3ccc(Br)cc23)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3nncn3C3CC3)c2c1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2c[nH]c3ccc(Br)cc23)n1; [None]; [None]; [0]
 Brc1ccc2[nH]cc(Cc3nnc4ccc(-c5ccccc5)nn34)c2c1; [None]; [None]; [0]
+O=C(CCc1c[nH]c2ccc(Br)cc12)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1c[nH]c2ccc(Br)cc12)NCc1ccccn1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cn(Cc4ccccc4)nn3)c2c1; [None]; [None]; [0]
+CCc1cc(-c2c[nH]c3ccc(Br)cc23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2c[nH]c3ccc(Br)cc23)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2c[nH]c3ccc(Br)cc23)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2c[nH]c3ccc(Br)cc23)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2c[nH]c3ccc(Br)cc23)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2c[nH]c3ccc(Br)cc23)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2c[nH]c3ccc(Br)cc23)CC1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3nc4ccccc4s3)c2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3c[nH]c4ccc(Br)cc34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3c[nH]c4ccc(Br)cc34)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2c[nH]c3ccc(Br)cc23)n1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3cccc4ccsc34)c2c1; [None]; [None]; [0]
 Brc1ccc2[nH]cc(-c3cccc4nnsc34)c2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c[nH]c3ccc(Br)cc23)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2c[nH]c3ccc(Br)cc23)nc2ccccc12; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3ncc4ccccc4n3)c2c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3c[nH]c4cccnc34)c2c1; [None]; [None]; [0]
+OCCn1cnc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(-c3ncc4cc[nH]c4n3)c2c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
 COc1ccc(Oc2c[nH]c3ccc(Br)cc23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2c[nH]c3ccc(Br)cc23)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2c[nH]c3ccc(Br)cc23)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+COc1ncccc1-c1c[nH]c2ccc(Br)cc12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2c[nH]c3ccc(Br)cc23)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2c[nH]c3ccc(Br)cc23)cnn1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(N3CCC(c4nc5ccccc5[nH]4)CC3)c2c1; [None]; [None]; [0]
+Brc1ccc2[nH]cc(N3CC=C(c4c[nH]c5ccccc45)CC3)c2c1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2c[nH]c3ccc(Br)cc23)c1)C1CCNCC1; [None]; [None]; [0]
-O=c1c2c(F)cccc2cnn1Cc1cccc2cnccc12; [None]; [None]; [0]
-Cc1c(Cc2cccc3cnccc23)sc(=O)n1C; [None]; [None]; [0]
-c1cc(Cc2cnn3ncccc23)c2ccncc2c1; [None]; [None]; [0]
-CN1c2ccc(Cc3cccc4cnccc34)cc2CS1(=O)=O; [None]; [None]; [0]
-CC(C)n1cc(Cc2cccc3cnccc23)nn1; [None]; [None]; [0]
-COc1cc(Cc2cccc3cnccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
-[NH3+]Cc1ccc(Cc2cccc3cnccc23)cc1C(F)(F)F; [None]; [None]; [0]
-O=c1[nH]cc(Br)c2sc(Cc3cccc4cnccc34)cc12; [None]; [None]; [0]
-[NH3+]CCn1ccc(Cc2cccc3cnccc23)n1; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1Cc1cccc2cnccc12; [None]; [None]; [0]
-CC1(C)Oc2ccc(Cc3cccc4cnccc34)nc2NC1=O; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(Cc3cccc4cnccc34)c2)cc1; [None]; [None]; [0]
-c1cc(Cc2cccc3nnsc23)c2ccncc2c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(Cc2cccc3cnccc23)n1; [None]; [None]; [0]
+CC(C)C(=O)COCc1cccc2cnccc12; [None]; [None]; [0]
+c1cncc(CNCc2cccc3cnccc23)c1; [None]; [None]; [0]
+c1cncc(NCc2cccc3cnccc23)c1; [None]; [None]; [0]
+c1cc(CNCCc2c[nH]cn2)c2ccncc2c1; [None]; [None]; [0]
+O=C(NCc1cccc2cnccc12)c1cccs1; [None]; [None]; [0]
+c1ccc(CCNCc2cccc3cnccc23)cc1; [None]; [None]; [0]
+Clc1ccc(CNCc2cccc3cnccc23)cc1; [None]; [None]; [0]
+c1cc(CNc2ccncc2)c2ccncc2c1; [None]; [None]; [0]
+Fc1ccccc1CNCc1cccc2cnccc12; [None]; [None]; [0]
+Nc1nc(Cc2cccc3cnccc23)cs1; [None]; [None]; [0]
+c1ccc(OCc2cccc3cnccc23)nc1; [None]; [None]; [0]
+O=C(NCc1cccc2cnccc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(Cc2cccc3cnccc23)CC1; [None]; [None]; [0]
+CC(C)(COCc1cccc2cnccc12)S(C)(=O)=O; [None]; [None]; [0]
+C[C@@H](OCc1cccc2cnccc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CCN(CC)Cc1cccc2cnccc12; [None]; [None]; [0]
+COc1ccncc1NCc1cccc2cnccc12; [None]; [None]; [0]
+c1ccc(-c2ccncc2NCc2cccc3cnccc23)cc1; [None]; [None]; [0]
+c1ccc2ncc(NCc3cccc4cnccc34)cc2c1; [None]; [None]; [0]
+CN(Cc1cccc2cnccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+C[C@H](NCc1cccc2cnccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@H](NCc1cccc2cnccc12)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](NCc1cccc2cnccc12)C(C)(C)O; [None]; [None]; [0]
+[NH3+]Cc1ccc(OCc2cccc3cnccc23)c(F)c1; [None]; [None]; [0]
+Nc1nc(Cc2cccc3cnccc23)nc2ccccc12; [None]; [None]; [0]
+COc1ccc(OCc2cccc3cnccc23)c(F)c1F; [None]; [None]; [0]
+c1cc(CN2CCC(c3nc4ccccc4[nH]3)CC2)c2ccncc2c1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(Cc2cccc3cnccc23)C1; [None]; [None]; [0]
 O=C(Nc1cccc(Cc2cccc3cnccc23)c1)C1CCNCC1; [None]; [None]; [0]
+O=C1Nc2ccc(Cl)cc2C1=Cc1c[nH]c2ccccc12; [None]; [None]; [0]
+COc1cc(O)cc(C=C2C(=O)Nc3ccc(Cl)cc32)c1; [None]; [None]; [0]
+COc1cc(C=C2C(=O)Nc3ccc(Cl)cc32)cc(OC)c1; [None]; [None]; [0]
+O=C1Nc2ccccc2C1=C1C(=O)Nc2ccc(Cl)cc21; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+CCOc1ccccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+COC(C)(C)CCc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cc3c(C#N)ccnc3[nH]2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(Cc3cc(F)cc(F)c3)cc12; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccnc4ccccc34)cc12; [None]; [None]; [0]
+CCn1cc(-c2cc3c(C#N)ccnc3[nH]2)cn1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc(C(F)(F)F)c3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccccc3OC(F)(F)F)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccccc3C(=O)[O-])cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccccc3C(N)=O)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cnn(Cc4ccccc4)c3)cc12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc4c(C#N)ccnc4[nH]3)cc2c1=O; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cnc(-c4ccccc4)[nH]3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cnn(CCO)c3)cc12; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc3c(C#N)ccnc3[nH]2)cs1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc(NC(=O)c4ccccc4)c3)cc12; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(-n3ncc4cccc(F)c4c3=O)cc12; [None]; [None]; [0]
+COc1cnc(-c2cc3c(C#N)ccnc3[nH]2)nc1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cc(Cl)ccc3Cl)cc12; [None]; [None]; [0]
+CC(C)C(=O)COc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+Cc1ccc(-c2cc3c(C#N)ccnc3[nH]2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cnc4ccccn34)cc12; [None]; [None]; [0]
+Cc1nc(C)c(-c2cc3c(C#N)ccnc3[nH]2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cc3c(C#N)ccnc3[nH]2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cnc4cccnn34)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc(Cn4cncn4)c3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc(Br)c3)cc12; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(NCc3cccnc3)cc12; [None]; [None]; [0]
 Cc1c(-c2cc3c(C#N)ccnc3[nH]2)sc(=O)n1C; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccnc(N)n3)cc12; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(-c3cnn4ncccc34)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccc4ccccc4c3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(Nc3cccnc3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-n3cnc4ccccc43)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(NCCc3c[nH]cn3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(NC(=O)c3cccs3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc(CC(=O)[O-])c3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3c[nH]nc3C(F)(F)F)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc(F)c3C(N)=O)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cncc4ccccc34)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(NCCc3ccccc3)cc12; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cc4c(C#N)ccnc4[nH]3)cc2)cn1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccc4c(N)[nH]nc4c3)cc12; [None]; [None]; [0]
 CN1c2ccc(-c3cc4c(C#N)ccnc4[nH]3)cc2CS1(=O)=O; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc3c(C#N)ccnc3[nH]2)o1; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc4c(C#N)ccnc4[nH]3)ccc21; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccc(-c4cn[nH]c4)cc3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(NCc3ccc(Cl)cc3)cc12; [None]; [None]; [0]
+CCCn1cnc(-c2cc3c(C#N)ccnc3[nH]2)n1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc(O)c3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc(CO)c3)cc12; [None]; [None]; [0]
 COc1cc(-c2cc3c(C#N)ccnc3[nH]2)ccc1C(=O)[O-]; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(CCc3c[nH]nn3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(Nc3ccncc3)cc12; [None]; [None]; [0]
 CC(C)n1cc(-c2cc3c(C#N)ccnc3[nH]2)nn1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(NCc3ccccc3F)cc12; [None]; [None]; [0]
+CSc1nc(-c2cc3c(C#N)ccnc3[nH]2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(CCc3c[nH]nn3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3csc4ncncc34)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cc4ccccc4[nH]3)cc12; [None]; [None]; [0]
+N#CCCc1cccc(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3csc(N)n3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cncnc3N)cc12; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cc4c(C#N)ccnc4[nH]3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccc(F)cc3C(F)(F)F)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(CCCC(N)=O)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(Oc3ccccn3)cc12; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(NC(=O)c3c(Cl)cccc3Cl)cc12; [None]; [None]; [0]
+Cn1cc(-c2cc3c(C#N)ccnc3[nH]2)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cc3c(C#N)ccnc3[nH]2)CC1; [None]; [None]; [0]
 CC(C)(COc1cc2c(C#N)ccnc2[nH]1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1Cl; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cnn4ccccc34)cc12; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cc12; [None]; [None]; [0]
+CCCn1cc(-c2cc3c(C#N)ccnc3[nH]2)cn1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cc[nH]c(=O)c3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc4c3C(=O)CC4)cc12; [None]; [None]; [0]
+COc1cc(CCc2cc3c(C#N)ccnc3[nH]2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
 C[C@@H](Oc1cc2c(C#N)ccnc2[nH]1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
+CCN(CC)c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cc4c(=O)[nH]ccc4o3)cc12; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(-c3cc4c(=O)[nH]cc(Br)c4s3)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(Nc3cnccc3-c3ccccc3)cc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(Nc3cnc4ccccc4c3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3c[nH]c4cnccc34)cc12; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cnc4[nH]ccc4c3)cc12; [None]; [None]; [0]
+CC1(c2cc3c(C#N)ccnc3[nH]2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cc2c(C#N)ccnc2[nH]1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccc(N4CCOCC4)cc3)cc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)cc1; [None]; [None]; [0]
+Cc1cc(-c2cc3c(C#N)ccnc3[nH]2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cc2c(C#N)ccnc2[nH]1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-n3ccc(CO)n3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-n3cnc(CCO)c3)cc12; [None]; [None]; [0]
+C[C@H](Nc1cc2c(C#N)ccnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cc2c(C#N)ccnc2[nH]1)C(C)(C)O; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3c(F)cccc3Cl)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-n3ncc4ccccc43)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-n3ncc4c(O)cccc43)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccc(-n4cncn4)cc3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3nc4ccc(O)cc4[nH]3)cc12; [None]; [None]; [0]
+CSc1nc(C)c(-c2cc3c(C#N)ccnc3[nH]2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cc3c(C#N)ccnc3[nH]2)c(OC)c1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ccc(C(=O)c4ccccc4)cc3)cc12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc3c(C#N)ccnc3[nH]2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3nncn3C3CC3)cc12; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(-c3ccn(CC[NH3+])n3)cc12; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(Cc3nnc4ccc(-c5ccccc5)nn34)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(CCC(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(CS(=O)(=O)NCc3ccccn3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cn(Cc4ccccc4)nn3)cc12; [None]; [None]; [0]
+CCc1cc(-c2cc3c(C#N)ccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cc3c(C#N)ccnc3[nH]2)nc(N)n1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3nnc(N)s3)cc12; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc3c(C#N)ccnc3[nH]2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3c(C#N)ccnc3[nH]2)s1; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(Oc3ccc(C[NH3+])cc3F)cc12; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc3c(C#N)ccnc3[nH]2)CC1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3nc4ccccc4s3)cc12; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cc4c(C#N)ccnc4[nH]3)nc2NC1=O; [None]; [None]; [0]
-N#Cc1ccnc2[nH]c(-c3cccc4nnsc34)cc12; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4c(C#N)ccnc4[nH]3)c2)cc1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cncc(N)n3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc4ccsc34)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cccc4nnsc34)cc12; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc3c(C#N)ccnc3[nH]2)[nH]1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3nc(N)c4ccccc4n3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ncc4ccccc4n3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3c[nH]c4cccnc34)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3cn(CCO)cn3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(-c3ncc4cc[nH]c4n3)cc12; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
 COc1ccc(Oc2cc3c(C#N)ccnc3[nH]2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc3c(C#N)ccnc3[nH]2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cc3c(C#N)ccnc3[nH]2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cc2c(C#N)ccnc2[nH]1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc3c(C#N)ccnc3[nH]2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc3c(C#N)ccnc3[nH]2)cnn1; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(N3CCC(c4nc5ccccc5[nH]4)CC3)cc12; [None]; [None]; [0]
+N#Cc1ccnc2[nH]c(N3CC=C(c4c[nH]c5ccccc45)CC3)cc12; [None]; [None]; [0]
 N#Cc1ccnc2[nH]c(-c3cccc(NC(=O)C4CCNCC4)c3)cc12; [None]; [None]; [0]
+C(=Cc1c[nH]c2cnccc12)c1c[nH]c2ccccc12; [None]; [None]; [0]
+Oc1cc(O)cc(C=Cc2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+COc1cc(O)cc(C=Cc2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+COc1cc(C=Cc2c[nH]c3cnccc23)cc(OC)c1; [None]; [None]; [0]
+COc1cc(C=Cc2c[nH]c3cnccc23)ccc1O; [None]; [None]; [0]
+O=C1Nc2ccccc2C1=Cc1c[nH]c2cnccc12; [None]; [None]; [0]
+C(=Cc1c[nH]c2cccnc12)c1c[nH]c2ccccc12; [None]; [None]; [0]
+Oc1cc(O)cc(C=Cc2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+COc1cc(O)cc(C=Cc2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+COc1cc(C=Cc2c[nH]c3cccnc23)cc(OC)c1; [None]; [None]; [0]
+COc1cc(C=Cc2c[nH]c3cccnc23)ccc1O; [None]; [None]; [0]
+O=C1Nc2ccccc2C1=Cc1c[nH]c2cccnc12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3ncc4ccccc4n3)cs2)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+COc1ncccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+COc1cc(-c2csc(-c3ccccc3)n2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3csc(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3cnc4cccnn34)cs2)cc1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+Oc1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+COc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3ccc(N4CCOCC4)cc3)cs2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2csc(-c3ccccc3)n2)c1)C1CC1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3nc4ccccc4[nH]3)cs2)cc1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3csc(-c4ccccc4)n3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2csc(-c3ccccc3)n2)sn1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3nccc4ccccc34)cs2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(Nc3ncccn3)cs2)cc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3csc(-c4ccccc4)n3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3cccc(C4CCNCC4)c3)cs2)cc1; [None]; [None]; [0]
+O=C(c1ccc(-c2csc(-c3ccccc3)n2)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2csc(-c3ccccc3)n2)nc1)N1CCOCC1; [None]; [None]; [0]
+c1ccc(-c2nc(Nc3ccncn3)cs2)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3csc(-c4ccccc4)n3)cc2C1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2csc(-c3ccccc3)n2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2csc(-c3ccccc3)n2)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2csc(-c3ccccc3)n2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3csc(-c4ccccc4)n3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2csc(-c3ccccc3)n2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Brc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3ccn4nccc4n3)cs2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2csc(-c3ccccc3)n2)c(C)c1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3ccccc3-n3cccn3)cs2)cc1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3c[nH]c4ccccc34)cs2)cc1; [None]; [None]; [0]
+COc1cc(OC)c(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3csc(-c4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3ccc4c(c3)CCO4)cs2)cc1; [None]; [None]; [0]
+c1ccc(-c2cc(-c3csc(-c4ccccc4)n3)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3csc(-c4ccccc4)n3)nc2c1F; [None]; [None]; [0]
+COc1cc(-c2csc(-c3ccccc3)n2)ccc1O; [None]; [None]; [0]
+c1ccc(-c2nc(-c3cccc4c3OCO4)cs2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3scc4c3OCCO4)cs2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3cnc4ccccc4c3)cs2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
+Nc1nc(-c2csc(-c3ccccc3)n2)cs1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3csc(-c4ccccc4)n3)n2)c1; [None]; [None]; [0]
+CC1(COc2csc(-c3ccccc3)n2)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3cc4ccccc4s3)cs2)cc1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3csc(-c4ccccc4)n3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2csc(-c3ccccc3)n2)nc(N)n1; [None]; [None]; [0]
+Fc1ccc(-c2csc(-c3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3csc(-c4ccccc4)n3)ccc2N1; [None]; [None]; [0]
+Brc1cnc(-c2csc(-c3ccccc3)n2)nc1; [None]; [None]; [0]
+COc1ccc(-c2csc(-c3ccccc3)n2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+COc1ccc(CNc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Clc1ccc(-c2csc(-c3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2csc(-c3ccccc3)n2)C1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3ncc4cccn4n3)cs2)cc1; [None]; [None]; [0]
+COc1cc(-c2csc(-c3ccccc3)n2)ccc1N1CCOCC1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3cc4ccccn4n3)cs2)cc1; [None]; [None]; [0]
+Cn1cc(-c2csc(-c3ccccc3)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3csc(-c4ccccc4)n3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3csc(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3csc(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2csc(-c3ccccc3)n2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2csc(-c3ccccc3)n2)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
+Clc1cnc(-c2csc(-c3ccccc3)n2)nc1; [None]; [None]; [0]
+Cc1csc2c(-c3csc(-c4ccccc4)n3)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2csc(-c3ccccc3)n2)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2csc(-c3ccccc3)n2)nn1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
 Nc1cc(-c2csc(-c3ccccc3)n2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2csc(-c3ccccc3)n2)nc1; [None]; [None]; [0]
+COc1cc(-c2csc(-c3ccccc3)n2)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+O=C(Nc1csc(-c2ccccc2)n1)c1ccco1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2csc(-c3ccccc3)n2)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1csc(-c3ccccc3)n1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3csc(-c4ccccc4)n3)cc2c1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3ccc4cn[nH]c4c3)cs2)cc1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CCn1cc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3cc(-c4cccnc4)ccn3)cs2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3cc4ccccc4o3)cs2)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3ncc4sccc4n3)cs2)cc1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2csc(-c3ccccc3)n2)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3csc(-c4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+Cn1cc(-c2csc(-c3ccccc3)n2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3csc(-c4ccccc4)n3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2csc(-c3ccccc3)n2)n1; [None]; [None]; [0]
 c1ccc(-c2nc(-c3ncn4c3CCCC4)cs2)cc1; [None]; [None]; [0]
+Cc1cc(-c2csc(-c3ccccc3)n2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3csc(-c4ccccc4)n3)ccc21; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3csc(-c4ccccc4)n3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2csc(-c3ccccc3)n2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3csc(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3csc(-c4ccccc4)n3)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+OCCc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
 O=C(Nc1csc(-c2ccccc2)n1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2csc(-c3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3csc(-c4ccccc4)n3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2csc(-c3ccccc3)n2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2csc(-c3ccccc3)n2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2csc(-c3ccccc3)n2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Fc1ccc(Nc2csc(-c3ccccc3)n2)nc1; [None]; [None]; [0]
 Cc1cc(Nc2csc(-c3ccccc3)n2)ncc1F; [None]; [None]; [0]
+c1ccc(-c2nc(Nc3ccccn3)cs2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3cccc4ncccc34)cs2)cc1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1csc(-c3ccccc3)n1)OCO2; [None]; [None]; [0]
+Oc1cc(-c2csc(-c3ccccc3)n2)ccc1Cl; [None]; [None]; [0]
+c1ccc(-c2nc(-c3n[nH]c4ccccc34)cs2)cc1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Fc1ccc(Oc2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2csc(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2csc(-c3ccccc3)n2)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Oc1ccc(-c2csc(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+Nc1nccc(-c2csc(-c3ccccc3)n2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3csc(-c4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3csc(-c4ccccc4)n3)cc2)c(O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2csc(-c3ccccc3)n2)o1; [None]; [None]; [0]
+COc1cc(CCc2csc(-c3ccccc3)n2)ccc1O; [None]; [None]; [0]
+Brc1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3ccc4ccccc4c3)cs2)cc1; [None]; [None]; [0]
+Oc1ccc(-c2csc(-c3ccccc3)n2)cc1F; [None]; [None]; [0]
+Oc1ccc(-c2csc(-c3ccccc3)n2)c(O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
 c1ccc(-c2nc(-c3cnn4ncccc34)cs2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3c[nH]c4cnccc34)cs2)cc1; [None]; [None]; [0]
+Nc1cc(-c2csc(-c3ccccc3)n2)ccn1; [None]; [None]; [0]
+Clc1ccccc1OCc1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Fc1ccc(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Oc1ncc(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+NC(=O)c1cc(-c2csc(-c3ccccc3)n2)c[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3csc(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3csc(-c4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+COc1cc(CCc2csc(-c3ccccc3)n2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3cnc4[nH]ccc4c3)cs2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(-c3nc4ccccc4s3)cs2)cc1; [None]; [None]; [0]
+Oc1cncc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3csc(-c4ccccc4)n3)ccc2N1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+CNc1nccc(-c2csc(-c3ccccc3)n2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3csc(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2csc(-c3ccccc3)n2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+FC(F)c1cc(-c2csc(-c3ccccc3)n2)[nH]n1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Clc1cnccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+CCc1sccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2csc(-c3ccccc3)n2)cc1Cl; [None]; [None]; [0]
+CNc1nc(-c2csc(-c3ccccc3)n2)ncc1F; [None]; [None]; [0]
+c1ccc(-c2nc(-c3ccc4c(c3)CCN4)cs2)cc1; [None]; [None]; [0]
 Oc1cc(-c2csc(-c3ccccc3)n2)nc2ccnn12; [None]; [None]; [0]
 Cc1oc(-c2csc(-c3ccccc3)n2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3csc(-c4ccccc4)n3)cc2[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+c1ccc(-c2nc(Nc3ccncc3)cs2)cc1; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Fc1ccc2n[nH]c(-c3csc(-c4ccccc4)n3)c2c1; [None]; [None]; [0]
 CN(c1csc(-c2ccccc2)n1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Cc1cc(-c2csc(-c3ccccc3)n2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3csc(-c4ccccc4)n3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2csc(-c3ccccc3)n2)cc(C)c1O; [None]; [None]; [0]
+Oc1c(F)cc(-c2csc(-c3ccccc3)n2)cc1F; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3csc(-c4ccccc4)n3)ccc12; [None]; [None]; [0]
+CSc1cccc(-c2csc(-c3ccccc3)n2)c1; [None]; [None]; [0]
+c1ccc(-c2nc(CCc3c[nH]c4ccccc34)cs2)cc1; [None]; [None]; [0]
+c1ccc(-c2nc(OCc3cccc4ccccc34)cs2)cc1; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Fc1ccc(Oc2csc(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1csc(-c2ccccc2)n1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2csc(-c3ccccc3)n2)cc1; [None]; [None]; [0]
+Fc1ccc(COc2csc(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+Fc1ccc(CCc2csc(-c3ccccc3)n2)c(F)c1; [None]; [None]; [0]
+Fc1cccc(Cl)c1CNc1csc(-c2ccccc2)n1; [None]; [None]; [0]
+CCc1c(-c2ccccc2C(=O)NC)ccc(O)c1C; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc(O)c(C)c1CC; [None]; [None]; [0]
+CCc1c(CCC(C)(C)OC)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccccc2-c2nnc(C)[nH]2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccccc2S(=O)(=O)C(C)C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(Cc2cc(F)cc(F)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccccc2P(C)(C)=O)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccnc3ccccc23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnn(CC)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(C(F)(F)F)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccccc2OC(F)(F)F)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccccc2C(=O)[O-])ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccccc2C(N)=O)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnn(Cc3ccccc3)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc3ncn(C)c(=O)c3c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnc(-c3ccccc3)[nH]2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnn(CCO)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2csc(C(C)(C)C)n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(NC(=O)c3ccccc3)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-n2ncc3cccc(F)c3c2=O)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ncc(OC)cn2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cc(Cl)ccc2Cl)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(OCC(=O)C(C)C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(C)cc2Br)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2c(C)nc3ccccn23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnc3ccccn23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2sc(C)nc2C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2sc(NC)nc2C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2sc(N)nc2C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnc3cccnn23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2c(Cl)cccc2Cl)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(Cn3cncn3)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(Br)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cc(C)ccc2Cl)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(NCc2cccnc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2sc(=O)n(C)c2C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccnc(N)n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnn3ncccc23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc3ccccc3c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(Nc2cccnc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-n2cnc3ccccc32)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(NCCc2c[nH]cn2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(NC(=O)c2cccs2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(CC(=O)[O-])c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2c[nH]nc2C(F)(F)F)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(F)c2C(N)=O)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cncc3ccccc23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(NCCc2ccccc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(-c3cnn(C)c3)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc3c(N)[nH]nc3c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc3c(c2)CS(=O)(=O)N3C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc3c(cnn3C)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(-c3cn[nH]c3)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(NCc2ccc(Cl)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(O)c(C)c2CC)n1; [None]; [None]; [0]
+CCc1c(-c2cccc(O)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(CO)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(C(=O)[O-])c(OC)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(Nc2ccncc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cn(C(C)C)nn2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(NCc2ccccc2F)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2c[nH]c(SC)n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnoc2C(C)C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(CCc2c[nH]nn2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2csc3ncncc23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cc3ccccc3[nH]2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(CCC#N)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2csc(N)n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cncnc2N)ccc(O)c1C; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc(O)c(C)c3CC)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc(O)c(C)c2CC)cc1; [None]; [None]; [0]
+CCc1c(-c2ccc(F)cc2C(F)(F)F)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(CCCC(N)=O)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(Oc2ccccn2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(CCNC(=O)CC(C)(C)O)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(NC(C)=O)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(NC(=O)c2c(Cl)cccc2Cl)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cn(C)c3ccccc23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(N2CCC(S(C)(=O)=O)CC2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(OCC(C)(C)S(C)(=O)=O)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(OC)c(Cl)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnn3ccccc23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(C[NH3+])c(C(F)(F)F)c2)ccc(O)c1C; [None]; [None]; [0]
+CCCn1cc(-c2ccc(O)c(C)c2CC)cn1; [None]; [None]; [0]
+CCc1c(-c2cc[nH]c(=O)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc3c2C(=O)CC3)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(CCc2cc(OC)cc(OC)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(C(C)(C)N)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc(O)c(C)c1CC; [None]; [None]; [0]
+CCc1c(O[C@H](C)c2c(Cl)cncc2Cl)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc([S@](C)=O)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(N(CC)CC)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cc3c(=O)[nH]ccc3o2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cc3c(=O)[nH]cc(Br)c3s2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(Nc2cnccc2OC)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(Nc2cnccc2-c2ccccc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cncc(OC(C)C)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(C(C)(C)C)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2c(F)cccc2OC)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(Nc2cnc3ccccc3c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2c[nH]c3cnccc23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(F)c2C(=O)NC)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnc3[nH]ccc3c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(C2(C)CCN(S(C)(=O)=O)CC2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(S(=O)(=O)NC)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(N3CCOCC3)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(S(C)(=O)=O)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cc(C)nn2-c2cccc(Cl)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(N[C@@H](C)C(=O)NCC(F)(F)F)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-n2ccc(CO)n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-n2cnc(CCO)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(N[C@@H](C)C(C)(C)O)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(N[C@H](C)C(C)(C)O)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2c(F)cccc2Cl)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-n2ncc3ccccc32)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-n2ncc3c(O)cccc32)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(-n3cncn3)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2nc3ccc(O)cc3[nH]2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2[nH]c(SC)nc2C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(OC)cc2OC)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(C(=O)c3ccccc3)cc2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c([C@@H]2CC[C@@H](NC(C)=O)CC2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2nncn2C(C)C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2nncn2C2CC2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccn(CC[NH3+])n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(Cc2nnc3ccc(-c4ccccc4)nn23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(CCC(=O)NCc2ccccn2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(CS(=O)(=O)NCc2ccccn2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cn(Cc3ccccc3)nn2)ccc(O)c1C; [None]; [None]; [0]
+CCc1cc(-c2ccc(O)c(C)c2CC)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccc(O)c(C)c2CC)nc(N)n1; [None]; [None]; [0]
+CCc1c(-c2nnc(N)s2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cc(C(N)=O)cn2C)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(C(C)(C)O)n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc(C(=O)NC)s2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(Oc2ccc(C[NH3+])cc2F)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(C2CCN(C(=O)N[C@@H2]C)CC2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2nc3ccccc3s2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ccc3c(n2)NC(=O)C(C)(C)O3)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(C(=O)Nc3ccc(C(=O)NC)cc3)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cncc(N)n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc3ccsc23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc3nnsc23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnc(NC(C)=O)[nH]2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2nc(N)c3ccccc3n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ncc3ccccc3n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2c[nH]c3cccnc23)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cn(CCO)cn2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2ncc3cc[nH]c3n2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cc(C#N)ccc2OC)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(Oc2ccc(OC)c(F)c2F)ccc(O)c1C; [None]; [None]; [0]
+CCc1c([C@H]2CC[C@@](C)(O)CC2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cc(OC)ccc2OC)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccnc2OC)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(S(=O)(=O)N(C)C)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cnnc(N(C)C)c2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(N2CCC(c3nc4ccccc4[nH]3)CC2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(N2CC=C(c3c[nH]c4ccccc34)CC2)ccc(O)c1C; [None]; [None]; [0]
+CCc1c(-c2cccc(NC(=O)C3CCNCC3)c2)ccc(O)c1C; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
+COC(C)(C)CCc1cccc2sccc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc3sccc23)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2cccc3sccc23)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
+c1ccc2c(-c3cccc4sccc34)ccnc2c1; [None]; [None]; [0]
+CCn1cc(-c2cccc3sccc23)cn1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cccc4sccc34)cn2)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc4sccc34)cc2c1=O; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3cccc4sccc34)[nH]2)cc1; [None]; [None]; [0]
+OCCn1cc(-c2cccc3sccc23)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cccc3sccc23)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cccc3sccc23)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cccc2sccc12; [None]; [None]; [0]
+COc1cnc(-c2cccc3sccc23)nc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1cccc2sccc12; [None]; [None]; [0]
+Cc1ccc(-c2cccc3sccc23)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cccc2sccc12; [None]; [None]; [0]
+c1cc(-c2cnc3ccccn23)c2ccsc2c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cccc3sccc23)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cccc3sccc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cccc2sccc12; [None]; [None]; [0]
+c1cc(-c2cnc3cccnn23)c2ccsc2c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1cccc2sccc12; [None]; [None]; [0]
+c1cc(Cn2cncn2)cc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+Brc1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
+c1cncc(CNc2cccc3sccc23)c1; [None]; [None]; [0]
 Cc1c(-c2cccc3sccc23)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cccc3sccc23)n1; [None]; [None]; [0]
 c1cc(-c2cnn3ncccc23)c2ccsc2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccc3sccc23)o1; [None]; [None]; [0]
+c1ccc2cc(-c3cccc4sccc34)ccc2c1; [None]; [None]; [0]
+c1cncc(Nc2cccc3sccc23)c1; [None]; [None]; [0]
+c1ccc2c(c1)ncn2-c1cccc2sccc12; [None]; [None]; [0]
+c1cc(NCCc2c[nH]cn2)c2ccsc2c1; [None]; [None]; [0]
+O=C(Nc1cccc2sccc12)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1cccc2sccc12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cccc2sccc12; [None]; [None]; [0]
+c1ccc2c(-c3cccc4sccc34)cncc2c1; [None]; [None]; [0]
+c1ccc(CCNc2cccc3sccc23)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cccc4sccc34)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cccc4sccc34)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cccc4sccc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cccc4sccc34)ccc21; [None]; [None]; [0]
+c1cc(-c2ccc(-c3cn[nH]c3)cc2)c2ccsc2c1; [None]; [None]; [0]
+Clc1ccc(CNc2cccc3sccc23)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc3sccc23)n1; [None]; [None]; [0]
+Oc1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+OCc1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
 COc1cc(-c2cccc3sccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+c1cc(Nc2ccncc2)c2ccsc2c1; [None]; [None]; [0]
 CC(C)n1cc(-c2cccc3sccc23)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1cccc2sccc12; [None]; [None]; [0]
+CSc1nc(-c2cccc3sccc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc2sccc12; [None]; [None]; [0]
 c1cc(CCc2c[nH]nn2)c2ccsc2c1; [None]; [None]; [0]
-O=C(Nc1cccc2sccc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+c1cc(-c2csc3ncncc23)c2ccsc2c1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cccc4sccc34)cc2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+Nc1nc(-c2cccc3sccc23)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1cccc2sccc12; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cccc4sccc34)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+Fc1ccc(-c2cccc3sccc23)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1cccc2sccc12; [None]; [None]; [0]
+c1ccc(Oc2cccc3sccc23)nc1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cccc2sccc12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+O=C(Nc1cccc2sccc12)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2cccc3sccc23)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cccc3sccc23)CC1; [None]; [None]; [0]
 CC(C)(COc1cccc2sccc12)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cccc3sccc23)cc1Cl; [None]; [None]; [0]
+c1cc(-c2cnn3ccccc23)c2ccsc2c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2cccc3sccc23)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2cccc3sccc23)cn1; [None]; [None]; [0]
+O=c1cc(-c2cccc3sccc23)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cccc4sccc34)c21; [None]; [None]; [0]
+COc1cc(CCc2cccc3sccc23)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc2sccc12; [None]; [None]; [0]
 C[C@@H](Oc1cccc2sccc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CCN(CC)c1cccc2sccc12; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cccc4sccc34)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cccc4sccc34)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1cccc2sccc12; [None]; [None]; [0]
 c1ccc(-c2ccncc2Nc2cccc3sccc23)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc2sccc12; [None]; [None]; [0]
+c1ccc2ncc(Nc3cccc4sccc34)cc2c1; [None]; [None]; [0]
+c1cc(-c2c[nH]c3cnccc23)c2ccsc2c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cccc2sccc12; [None]; [None]; [0]
+c1cc(-c2cnc3[nH]ccc3c2)c2ccsc2c1; [None]; [None]; [0]
+CC1(c2cccc3sccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cccc2sccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+c1cc(-c2ccc(N3CCOCC3)cc2)c2ccsc2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+Cc1cc(-c2cccc3sccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cccc2sccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2cccc3sccc23)n1; [None]; [None]; [0]
+OCCc1cn(-c2cccc3sccc23)cn1; [None]; [None]; [0]
+C[C@H](Nc1cccc2sccc12)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cccc2sccc12)C(C)(C)O; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cccc2sccc12; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1cccc2sccc12; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1cccc2sccc12; [None]; [None]; [0]
+c1cc(-c2ccc(-n3cncn3)cc2)c2ccsc2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cccc4sccc34)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc3sccc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cccc3sccc23)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc2sccc12; [None]; [None]; [0]
+c1cc(-c2nncn2C2CC2)c2ccsc2c1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cccc3sccc23)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4cccc5sccc45)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1cccc2sccc12)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1cccc2sccc12)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3cccc4sccc34)nn2)cc1; [None]; [None]; [0]
+CCc1cc(-c2cccc3sccc23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc3sccc23)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cccc3sccc23)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccc2sccc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc3sccc23)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3sccc23)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2cccc3sccc23)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc3sccc23)CC1; [None]; [None]; [0]
+c1ccc2sc(-c3cccc4sccc34)nc2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cccc4sccc34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc4sccc34)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cccc3sccc23)n1; [None]; [None]; [0]
+c1cc(-c2cccc3sccc23)c2sccc2c1; [None]; [None]; [0]
 c1cc(-c2cccc3sccc23)c2snnc2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc3sccc23)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cccc3sccc23)nc2ccccc12; [None]; [None]; [0]
+c1ccc2nc(-c3cccc4sccc34)ncc2c1; [None]; [None]; [0]
+c1cnc2c(-c3cccc4sccc34)c[nH]c2c1; [None]; [None]; [0]
+OCCn1cnc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+c1cc(-c2ncc3cc[nH]c3n2)c2ccsc2c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc2sccc12; [None]; [None]; [0]
 COc1ccc(Oc2cccc3sccc23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccc3sccc23)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
+COc1ncccc1-c1cccc2sccc12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc3sccc23)cnn1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4cccc5sccc45)CC3)nc2c1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2cccc3sccc23)C1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cccc3sccc23)c1)C1CCNCC1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cccc2sccc12; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+COc1cc(-c2cccc3sccc23)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cccc4sccc34)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
+COc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cccc3sccc23)c1)C1CC1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cccc4sccc34)nc2c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cccc4sccc34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2cccc3sccc23)sn1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+c1ccc2c(-c3cccc4sccc34)nccc2c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+c1cnc(Nc2cccc3sccc23)nc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cccc4sccc34)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+c1cc(-c2cccc3sccc23)cc(C2CCNCC2)c1; [None]; [None]; [0]
+O=C(c1ccc(-c2cccc3sccc23)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2cccc3sccc23)nc1)N1CCOCC1; [None]; [None]; [0]
+c1cc(Nc2ccncn2)c2ccsc2c1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3cccc4sccc34)cc2C1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cccc3sccc23)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2cccc3sccc23)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2cccc3sccc23)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cccc4sccc34)c2)CC1; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3cccc4sccc34)[nH]c2c1; [None]; [None]; [0]
 CCCOc1ccc(-c2cccc3sccc23)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cccc2sccc12; [None]; [None]; [0]
+Brc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc3sccc23)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+c1cc(-c2ccn3nccc3n2)c2ccsc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3sccc23)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cccc2sccc12; [None]; [None]; [0]
+c1ccc2c(-c3cccc4sccc34)c[nH]c2c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cccc3sccc23)cc1Cl; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3cccc4sccc34)[nH]c2c1; [None]; [None]; [0]
+c1cc(-c2ccc3c(c2)CCO3)c2ccsc2c1; [None]; [None]; [0]
+c1ccc(-c2cc(-c3cccc4sccc34)n[nH]2)cc1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cccc2sccc12; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cccc4sccc34)nc2c1F; [None]; [None]; [0]
+COc1cc(-c2cccc3sccc23)ccc1O; [None]; [None]; [0]
+c1cc2c(c(-c3cccc4sccc34)c1)OCO2; [None]; [None]; [0]
+c1cc(-c2scc3c2OCCO3)c2ccsc2c1; [None]; [None]; [0]
+c1ccc2ncc(-c3cccc4sccc34)cc2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc3sccc23)cn1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3cccc4sccc34)n2)c1; [None]; [None]; [0]
+CC1(COc2cccc3sccc23)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cccc3sccc23)c1; [None]; [None]; [0]
+CSc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3cccc4sccc34)cc2c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cccc4sccc34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2cccc3sccc23)nc(N)n1; [None]; [None]; [0]
+Fc1ccc(-c2cccc3sccc23)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3cccc4sccc34)ccc2N1; [None]; [None]; [0]
+Brc1cnc(-c2cccc3sccc23)nc1; [None]; [None]; [0]
+COc1ccc(-c2cccc3sccc23)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+COc1ccc(CNc2cccc3sccc23)cc1; [None]; [None]; [0]
+Clc1ccc(-c2cccc3sccc23)c(Cl)c1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2cccc3sccc23)C1; [None]; [None]; [0]
+c1cc(-c2ncc3cccn3n2)c2ccsc2c1; [None]; [None]; [0]
+COc1cc(-c2cccc3sccc23)ccc1N1CCOCC1; [None]; [None]; [0]
+c1cc(-c2cc3ccccn3n2)c2ccsc2c1; [None]; [None]; [0]
+Cn1cc(-c2cccc3sccc23)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cccc4sccc34)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cccc4sccc34)c2c1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3cccc4sccc34)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cccc3sccc23)cc1OC; [None]; [None]; [0]
+COc1cc(-c2cccc3sccc23)ccc1Cl; [None]; [None]; [0]
+Clc1cnc(-c2cccc3sccc23)nc1; [None]; [None]; [0]
+Cc1csc2c(-c3cccc4sccc34)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2cccc3sccc23)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2cccc3sccc23)nn1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
 Nc1cc(-c2cccc3sccc23)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc3sccc23)nc1; [None]; [None]; [0]
+COc1cc(-c2cccc3sccc23)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cccc2sccc12; [None]; [None]; [0]
-COc1ccc2c(c1)c(-c1cccc3sccc13)cn2C; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cccc3sccc23)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cccc3sccc23)cc1; [None]; [None]; [0]
+O=C(Nc1cccc2sccc12)c1ccco1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cccc3sccc23)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cccc3sccc23)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1cccc3sccc13)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cccc4sccc34)cc2c1; [None]; [None]; [0]
+c1cc(-c2ccc3cn[nH]c3c2)c2ccsc2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cccc3sccc23)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3cccc4sccc34)c2)c1; [None]; [None]; [0]
+c1ccc2oc(-c3cccc4sccc34)cc2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cccc2sccc12; [None]; [None]; [0]
+c1cc(-c2ncc3sccc3n2)c2ccsc2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cccc2sccc12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cccc3sccc23)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3cccc4sccc34)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cccc3sccc23)c1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cccc4sccc34)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2cccc3sccc23)n1; [None]; [None]; [0]
 c1cc(-c2ncn3c2CCCC3)c2ccsc2c1; [None]; [None]; [0]
-O=C(Nc1cccc2sccc12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cc1cc(-c2cccc3sccc23)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cccc4sccc34)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc3sccc23)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cccc4sccc34)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cccc4sccc34)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cccc3sccc23)c1; [None]; [None]; [0]
+OCCc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+O=C(Nc1cccc2sccc12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3sccc23)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cccc4sccc34)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cccc2sccc12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cccc2sccc12; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cccc2sccc12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cccc2sccc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3sccc23)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cccc3sccc23)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3sccc23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cccc3sccc23)cc1; [None]; [None]; [0]
+Fc1ccc(Nc2cccc3sccc23)nc1; [None]; [None]; [0]
 Cc1cc(Nc2cccc3sccc23)ncc1F; [None]; [None]; [0]
+c1ccc(Nc2cccc3sccc23)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cccc3sccc23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cccc2sccc12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+COC(C)(C)CCc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc3sc(C(N)=O)cc23)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+NC(=O)c1cc2c(Cc3cc(F)cc(F)c3)cccc2s1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccnc4ccccc34)cccc2s1; [None]; [None]; [0]
+CCn1cc(-c2cccc3sc(C(N)=O)cc23)cn1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cccc(C(F)(F)F)c3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccccc3OC(F)(F)F)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccccc3C(=O)[O-])cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccccc3C(N)=O)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cnn(Cc4ccccc4)c3)cccc2s1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc4sc(C(N)=O)cc34)cc2c1=O; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cnc(-c4ccccc4)[nH]3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cnn(CCO)c3)cccc2s1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cccc3sc(C(N)=O)cc23)cs1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cccc(NC(=O)c4ccccc4)c3)cccc2s1; [None]; [None]; [0]
 NC(=O)c1cc2c(-n3ncc4cccc(F)c4c3=O)cccc2s1; [None]; [None]; [0]
+COc1cnc(-c2cccc3sc(C(N)=O)cc23)nc1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cc(Cl)ccc3Cl)cccc2s1; [None]; [None]; [0]
+CC(C)C(=O)COc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+Cc1ccc(-c2cccc3sc(C(N)=O)cc23)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cnc4ccccn34)cccc2s1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cccc3sc(C(N)=O)cc23)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cccc3sc(C(N)=O)cc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cnc4cccnn34)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3c(Cl)cccc3Cl)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cccc(Cn4cncn4)c3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cccc(Br)c3)cccc2s1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
+NC(=O)c1cc2c(NCc3cccnc3)cccc2s1; [None]; [None]; [0]
 Cc1c(-c2cccc3sc(C(N)=O)cc23)sc(=O)n1C; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccnc(N)n3)cccc2s1; [None]; [None]; [0]
 NC(=O)c1cc2c(-c3cnn4ncccc34)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccc4ccccc4c3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(Nc3cccnc3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-n3cnc4ccccc43)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(NCCc3c[nH]cn3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(NC(=O)c3cccs3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cccc(CC(=O)[O-])c3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3c[nH]nc3C(F)(F)F)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cccc(F)c3C(N)=O)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cncc4ccccc34)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(NCCc3ccccc3)cccc2s1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cccc4sc(C(N)=O)cc34)cc2)cn1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccc4c(N)[nH]nc4c3)cccc2s1; [None]; [None]; [0]
 CN1c2ccc(-c3cccc4sc(C(N)=O)cc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cccc4sc(C(N)=O)cc34)ccc21; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccc(-c4cn[nH]c4)cc3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(NCc3ccc(Cl)cc3)cccc2s1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc3sc(C(N)=O)cc23)n1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cccc(O)c3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cccc(CO)c3)cccc2s1; [None]; [None]; [0]
 COc1cc(-c2cccc3sc(C(N)=O)cc23)ccc1C(=O)[O-]; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccc3sc(C(N)=O)cc23)o1; [None]; [None]; [0]
+NC(=O)c1cc2c(Nc3ccncc3)cccc2s1; [None]; [None]; [0]
 CC(C)n1cc(-c2cccc3sc(C(N)=O)cc23)nn1; [None]; [None]; [0]
+NC(=O)c1cc2c(NCc3ccccc3F)cccc2s1; [None]; [None]; [0]
+CSc1nc(-c2cccc3sc(C(N)=O)cc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
 NC(=O)c1cc2c(CCc3c[nH]nn3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3csc4ncncc34)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cc4ccccc4[nH]3)cccc2s1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3csc(N)n3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cncnc3N)cccc2s1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cccc4sc(C(N)=O)cc34)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccc(F)cc3C(F)(F)F)cccc2s1; [None]; [None]; [0]
+NC(=O)CCCc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+NC(=O)c1cc2c(Oc3ccccn3)cccc2s1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
 NC(=O)c1cc2c(NC(=O)c3c(Cl)cccc3Cl)cccc2s1; [None]; [None]; [0]
+Cn1cc(-c2cccc3sc(C(N)=O)cc23)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cccc3sc(C(N)=O)cc23)CC1; [None]; [None]; [0]
 CC(C)(COc1cccc2sc(C(N)=O)cc12)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cccc3sc(C(N)=O)cc23)cc1Cl; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cnn4ccccc34)cccc2s1; [None]; [None]; [0]
 NC(=O)c1cc2c(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cccc2s1; [None]; [None]; [0]
-NC(=O)c1cc2c(-c3cc4c(=O)[nH]cc(Br)c4s3)cccc2s1; [None]; [None]; [0]
+CCCn1cc(-c2cccc3sc(C(N)=O)cc23)cn1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cc[nH]c(=O)c3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cccc4c3C(=O)CC4)cccc2s1; [None]; [None]; [0]
+COc1cc(CCc2cccc3sc(C(N)=O)cc23)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
 C[C@@H](Oc1cccc2sc(C(N)=O)cc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
+CCN(CC)c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cc4c(=O)[nH]ccc4o3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cc4c(=O)[nH]cc(Br)c4s3)cccc2s1; [None]; [None]; [0]
+COc1ccncc1Nc1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
 NC(=O)c1cc2c(Nc3cnccc3-c3ccccc3)cccc2s1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+NC(=O)c1cc2c(Nc3cnc4ccccc4c3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3c[nH]c4cnccc34)cccc2s1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cnc4[nH]ccc4c3)cccc2s1; [None]; [None]; [0]
+CC1(c2cccc3sc(C(N)=O)cc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cccc2sc(C(N)=O)cc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccc(N4CCOCC4)cc3)cccc2s1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cccc3sc(C(N)=O)cc23)cc1; [None]; [None]; [0]
+Cc1cc(-c2cccc3sc(C(N)=O)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cccc2sc(C(N)=O)cc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+NC(=O)c1cc2c(-n3ccc(CO)n3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-n3cnc(CCO)c3)cccc2s1; [None]; [None]; [0]
+C[C@H](Nc1cccc2sc(C(N)=O)cc12)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cccc2sc(C(N)=O)cc12)C(C)(C)O; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3c(F)cccc3Cl)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-n3ncc4ccccc43)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-n3ncc4c(O)cccc43)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccc(-n4cncn4)cc3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3nc4ccc(O)cc4[nH]3)cccc2s1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc3sc(C(N)=O)cc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cccc3sc(C(N)=O)cc23)c(OC)c1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ccc(C(=O)c4ccccc4)cc3)cccc2s1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc3sc(C(N)=O)cc23)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3nncn3C3CC3)cccc2s1; [None]; [None]; [0]
 NC(=O)c1cc2c(-c3ccn(CC[NH3+])n3)cccc2s1; [None]; [None]; [0]
 NC(=O)c1cc2c(Cc3nnc4ccc(-c5ccccc5)nn34)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(CCC(=O)NCc3ccccn3)cccc2s1; [None]; [None]; [0]
 NC(=O)c1cc2c(CS(=O)(=O)NCc3ccccn3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cn(Cc4ccccc4)nn3)cccc2s1; [None]; [None]; [0]
+CCc1cc(-c2cccc3sc(C(N)=O)cc23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc3sc(C(N)=O)cc23)nc(N)n1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3nnc(N)s3)cccc2s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc3sc(C(N)=O)cc23)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3sc(C(N)=O)cc23)s1; [None]; [None]; [0]
 NC(=O)c1cc2c(Oc3ccc(C[NH3+])cc3F)cccc2s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc3sc(C(N)=O)cc23)CC1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3nc4ccccc4s3)cccc2s1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cccc4sc(C(N)=O)cc34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc4sc(C(N)=O)cc34)c2)cc1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cncc(N)n3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cccc4ccsc34)cccc2s1; [None]; [None]; [0]
 NC(=O)c1cc2c(-c3cccc4nnsc34)cccc2s1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc3sc(C(N)=O)cc23)[nH]1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3nc(N)c4ccccc4n3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ncc4ccccc4n3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3c[nH]c4cccnc34)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3cn(CCO)cn3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(-c3ncc4cc[nH]c4n3)cccc2s1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
 COc1ccc(Oc2cccc3sc(C(N)=O)cc23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccc3sc(C(N)=O)cc23)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cccc3sc(C(N)=O)cc23)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
+COc1ncccc1-c1cccc2sc(C(N)=O)cc12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccc3sc(C(N)=O)cc23)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc3sc(C(N)=O)cc23)cnn1; [None]; [None]; [0]
+NC(=O)c1cc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cccc2s1; [None]; [None]; [0]
+NC(=O)c1cc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)cccc2s1; [None]; [None]; [0]
 NC(=O)c1cc2c(-c3cccc(NC(=O)C4CCNCC4)c3)cccc2s1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc(-c3ccc(O)cc3)c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3cccc(O)c3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cccc4ncccc34)c2c1; [None]; [None]; [0]
-CCc1ccc(-c2ccnc3ccc(S(C)(=O)=O)cc23)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3c(Cl)ccc4c3OCO4)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc(Cl)c(O)c3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3n[nH]c4ccccc34)c2c1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2ccnc3ccc(S(C)(=O)=O)cc23)cc1; [None]; [None]; [0]
-Cn1c(-c2ccnc3ccc(S(C)(=O)=O)cc23)nc2ccccc21; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3c(Cl)cccc3Cl)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(Oc3ccc(F)cc3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc(C(N)=O)cc3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc(C(N)=O)cc3F)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc(O)cc3Cl)c2c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3ccc(O)cc3F)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccnc(N)n3)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc(-c3ccc(-c4ccc(O)cc4O)cc3)c2c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccnc4ccc(S(C)(=O)=O)cc34)cc2[nH]1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cn[nH]c3Cl)c2c1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3ccc(-c4ccc(O)cc4O)cc3)c2c1; [None]; [None]; [0]
 COc1cc(-c2ccnc3ccc(S(C)(=O)=O)cc23)ccc1O; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccnc3ccc(S(C)(=O)=O)cc23)o1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc(C(=O)[O-])cc3)c2c1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccnc3ccc(S(C)(=O)=O)cc23)o1; [None]; [None]; [0]
 COc1cc(CCc2ccnc3ccc(S(C)(=O)=O)cc23)ccc1O; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc(COc3cccc(Cl)c3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cccc(Br)c3)c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3ccc4ccccc4c3)c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3ccc(O)c(F)c3)c2c1; [None]; [None]; [0]
+Cn1cc(-c2ccnc3ccc(S(C)(=O)=O)cc23)c2ccccc21; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc(O)cc3O)c2c1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2ccnc3ccc(S(C)(=O)=O)cc23)c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cnn4ncccc34)c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3c[nH]c4cnccc34)c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3ccnc(N)c3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(COc3ccccc3Cl)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc(F)c(Cl)c3)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc([C@H](CO)c3ccccc3)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc(CCc3ccc(Cl)cc3)c2c1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3[nH]cnc3-c3ccc(F)cc3)c2c1; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cc(O)ccc3Cl)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc(-c3c(Cl)ccc4c3OCO4)c2c1; [None]; [None]; [0]
 Cc1ccc(CO)cc1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cnc(O)c(Cl)c3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3c[nH]c(C(N)=O)c3)c2c1; [None]; [None]; [0]
@@ -59767,6 +38098,8 @@ COc1cc(OC)cc(-c2ccnc3ccc(S(C)(=O)=O)cc23)c1; [None]; [None]; [0]
 COc1ccc(-c2ccnc3ccc(S(C)(=O)=O)cc23)cc1OC; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3ccnc4ccc(S(C)(=O)=O)cc34)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccnc4ccc(S(C)(=O)=O)cc34)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccnc3ccc(S(C)(=O)=O)cc23)c1; [None]; [None]; [0]
+COc1cc(CCc2ccnc3ccc(S(C)(=O)=O)cc23)cc(OC)c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc(NC(N)=O)cc3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cnc4[nH]ccc4c3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2ccnc3ccc(S(C)(=O)=O)cc23)cc1; [None]; [None]; [0]
@@ -59778,10 +38111,14 @@ CNc1nccc(-c2ccnc3ccc(S(C)(=O)=O)cc23)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccnc4ccc(S(C)(=O)=O)cc34)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccnc3ccc(S(C)(=O)=O)cc23)c1C; [None]; [None]; [0]
 Cc1cc(O)ccc1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3cc(C(F)F)n[nH]3)c2c1; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3ccncc3Cl)c2c1; [None]; [None]; [0]
 CCc1sccc1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cc(Cl)c(O)c(Cl)c3)c2c1; [None]; [None]; [0]
+CNc1nc(-c2ccnc3ccc(S(C)(=O)=O)cc23)ncc1F; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc4c(c3)CCN4)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cc(O)n4nccc4n3)c2c1; [None]; [None]; [0]
 Cc1oc(-c2ccnc3ccc(S(C)(=O)=O)cc23)cc1C(=O)[O-]; [None]; [None]; [0]
@@ -59790,245 +38127,1306 @@ Cn1ncc(N)c1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(Nc3ccncc3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc(Br)cc3F)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3[nH]nc4ccc(F)cc34)c2c1; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccnc3ccc(S(C)(=O)=O)cc23)c1C; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ccnc3ccc(S(C)(=O)=O)cc23)cc1; [None]; [None]; [0]
 CN(c1ccnc2ccc(S(C)(=O)=O)cc12)c1cccc2[nH]ncc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc(-c3ccc(C(=O)NC4CC4)cc3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cc(O)cc(Br)c3)c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc2nccc(-c3ccc(C(=O)NC4CC4)cc3)c2c1; [None]; [None]; [0]
 Cc1cc(-c2ccnc3ccc(S(C)(=O)=O)cc23)ccc1C(N)=O; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccnc4ccc(S(C)(=O)=O)cc34)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2ccnc3ccc(S(C)(=O)=O)cc23)cc(C)c1O; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cc(F)c(O)c(F)c3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ccc4c(=O)[nH][nH]c4c3)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc(-c3[nH]cnc3-c3ccc(F)cc3)c2c1; [None]; [None]; [0]
 CSc1cccc(-c2ccnc3ccc(S(C)(=O)=O)cc23)c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(CCc3c[nH]c4ccccc34)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc(OCc3ccccc3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(OCc3cccc4ccccc34)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3ocnc3-c3ccc(F)cc3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(Oc3ccc(F)cc3F)c2c1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc(Oc3ccccc3F)c2c1; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1ccnc2ccc(S(C)(=O)=O)cc12; [None]; [None]; [0]
-CS(=O)(=O)c1ccc2nccc(-c3ccc(F)cc3Cl)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(-c3cn[nH]c3-c3ccc(Cl)cc3)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(OCc3ccc(F)cc3F)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(CCc3ccc(F)cc3F)c2c1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc2nccc(NCc3c(F)cccc3Cl)c2c1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc(CO)cc1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc(CO)cc1; [None]; [None]; [0]
+COC(C)(C)CCc1ccc(CO)cc1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc(CO)cc2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(Cc2cc(F)cc(F)c2)cc1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2ccnc3ccccc23)cc1; [None]; [None]; [0]
+CCn1cc(-c2ccc(CO)cc2)cn1; [None]; [None]; [0]
+OCc1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2ccccc2OC(F)(F)F)cc1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccc(CO)cc1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cnn(Cc3ccccc3)c2)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc(CO)cc3)cc2c1=O; [None]; [None]; [0]
+OCc1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
+OCCn1cc(-c2ccc(CO)cc2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccc(CO)cc2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccc(CO)cc2)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1ccc(CO)cc1; [None]; [None]; [0]
-OCc1ccc(-c2cnn3ncccc23)cc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(CO)cc2)nc1; [None]; [None]; [0]
+OCc1ccc(-c2cc(Cl)ccc2Cl)cc1; [None]; [None]; [0]
+CC(C)C(=O)COc1ccc(CO)cc1; [None]; [None]; [0]
+Cc1ccc(-c2ccc(CO)cc2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cnc3ccccn23)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccc(CO)cc2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccc(CO)cc2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cnc3cccnn23)cc1; [None]; [None]; [0]
+OCc1ccc(-c2c(Cl)cccc2Cl)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cccc(Cn3cncn3)c2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cccc(Br)c2)cc1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccc(CO)cc2)c1; [None]; [None]; [0]
+OCc1ccc(NCc2cccnc2)cc1; [None]; [None]; [0]
 Cc1c(-c2ccc(CO)cc2)sc(=O)n1C; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc(CO)cc2)o1; [None]; [None]; [0]
+Nc1nccc(-c2ccc(CO)cc2)n1; [None]; [None]; [0]
+OCc1ccc(-c2cnn3ncccc23)cc1; [None]; [None]; [0]
+OCc1ccc(-c2ccc3ccccc3c2)cc1; [None]; [None]; [0]
+OCc1ccc(Nc2cccnc2)cc1; [None]; [None]; [0]
+OCc1ccc(-n2cnc3ccccc32)cc1; [None]; [None]; [0]
+OCc1ccc(NCCc2c[nH]cn2)cc1; [None]; [None]; [0]
+O=C(Nc1ccc(CO)cc1)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ccc(CO)cc2)c1; [None]; [None]; [0]
+OCc1ccc(-c2c[nH]nc2C(F)(F)F)cc1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cncc3ccccc23)cc1; [None]; [None]; [0]
+OCc1ccc(NCCc2ccccc2)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccc(CO)cc3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc(CO)cc3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ccc(CO)cc3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc(CO)cc3)ccc21; [None]; [None]; [0]
+OCc1ccc(-c2ccc(-c3cn[nH]c3)cc2)cc1; [None]; [None]; [0]
+OCc1ccc(NCc2ccc(Cl)cc2)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(CO)cc2)n1; [None]; [None]; [0]
+OCc1ccc(-c2cccc(O)c2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cccc(CO)c2)cc1; [None]; [None]; [0]
 COc1cc(-c2ccc(CO)cc2)ccc1C(=O)[O-]; [None]; [None]; [0]
+OCc1ccc(Nc2ccncc2)cc1; [None]; [None]; [0]
 CC(C)n1cc(-c2ccc(CO)cc2)nn1; [None]; [None]; [0]
+OCc1ccc(NCc2ccccc2F)cc1; [None]; [None]; [0]
+CSc1nc(-c2ccc(CO)cc2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccc(CO)cc1; [None]; [None]; [0]
 OCc1ccc(CCc2c[nH]nn2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2csc3ncncc23)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc(CO)cc2)c1; [None]; [None]; [0]
+Nc1nc(-c2ccc(CO)cc2)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1ccc(CO)cc1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc(CO)cc3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2ccc(F)cc2C(F)(F)F)cc1; [None]; [None]; [0]
+NC(=O)CCCc1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(Oc2ccccn2)cc1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1ccc(CO)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc(CO)cc2)c1; [None]; [None]; [0]
 O=C(Nc1ccc(CO)cc1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2ccc(CO)cc2)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ccc(CO)cc2)CC1; [None]; [None]; [0]
 CC(C)(COc1ccc(CO)cc1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2ccc(CO)cc2)cc1Cl; [None]; [None]; [0]
+OCc1ccc(-c2cnn3ccccc23)cc1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2ccc(CO)cc2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2ccc(CO)cc2)cn1; [None]; [None]; [0]
+O=c1cc(-c2ccc(CO)cc2)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3ccc(CO)cc3)c21; [None]; [None]; [0]
+COc1cc(CCc2ccc(CO)cc2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc(CO)cc1; [None]; [None]; [0]
 C[C@@H](Oc1ccc(CO)cc1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
+CCN(CC)c1ccc(CO)cc1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ccc(CO)cc3)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3ccc(CO)cc3)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1ccc(CO)cc1; [None]; [None]; [0]
 OCc1ccc(Nc2cnccc2-c2ccccc2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccc(CO)cc2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(Nc2cnc3ccccc3c2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2c[nH]c3cnccc23)cc1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cnc3[nH]ccc3c2)cc1; [None]; [None]; [0]
+CC1(c2ccc(CO)cc2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1ccc(CO)cc1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2ccc(N3CCOCC3)cc2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc(CO)cc2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1ccc(CO)cc1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccc(-n2ccc(CO)n2)cc1; [None]; [None]; [0]
+OCCc1cn(-c2ccc(CO)cc2)cn1; [None]; [None]; [0]
+C[C@H](Nc1ccc(CO)cc1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1ccc(CO)cc1)C(C)(C)O; [None]; [None]; [0]
+OCc1ccc(-c2c(F)cccc2Cl)cc1; [None]; [None]; [0]
+OCc1ccc(-n2ncc3ccccc32)cc1; [None]; [None]; [0]
+OCc1ccc(-n2ncc3c(O)cccc32)cc1; [None]; [None]; [0]
+OCc1ccc(-c2ccc(-n3cncn3)cc2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2nc3ccc(O)cc3[nH]2)cc1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc(CO)cc2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ccc(CO)cc2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc(CO)cc2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2nncn2C2CC2)cc1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccc(CO)cc2)n1; [None]; [None]; [0]
 OCc1ccc(Cc2nnc3ccc(-c4ccccc4)nn23)cc1; [None]; [None]; [0]
+O=C(CCc1ccc(CO)cc1)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1ccc(CO)cc1)NCc1ccccn1; [None]; [None]; [0]
+OCc1ccc(-c2cn(Cc3ccccc3)nn2)cc1; [None]; [None]; [0]
+CCc1cc(-c2ccc(CO)cc2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccc(CO)cc2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2ccc(CO)cc2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ccc(CO)cc1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc(CO)cc2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(CO)cc2)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2ccc(CO)cc2)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc(CO)cc2)CC1; [None]; [None]; [0]
+OCc1ccc(-c2nc3ccccc3s2)cc1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ccc(CO)cc3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc(CO)cc3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2ccc(CO)cc2)n1; [None]; [None]; [0]
+OCc1ccc(-c2cccc3ccsc23)cc1; [None]; [None]; [0]
 OCc1ccc(-c2cccc3nnsc23)cc1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc(CO)cc2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2ccc(CO)cc2)nc2ccccc12; [None]; [None]; [0]
+OCc1ccc(-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
+OCCn1cnc(-c2ccc(CO)cc2)c1; [None]; [None]; [0]
+OCc1ccc(-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc(CO)cc1; [None]; [None]; [0]
 COc1ccc(Oc2ccc(CO)cc2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc(CO)cc2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc(CO)cc2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc(CO)cc2)c1; [None]; [None]; [0]
+COc1ncccc1-c1ccc(CO)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc(CO)cc2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc(CO)cc2)cnn1; [None]; [None]; [0]
+OCc1ccc(N2CCC(c3nc4ccccc4[nH]3)CC2)cc1; [None]; [None]; [0]
+OCc1ccc(N2CC=C(c3c[nH]c4ccccc34)CC2)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ccc(CO)cc2)c1)C1CCNCC1; [None]; [None]; [0]
+CNC(=O)c1ccccc1Nc1ccncc1F; [None]; [None]; [0]
+CCOc1ccccc1Nc1ccncc1F; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2Nc2ccncc2F)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1Nc1ccncc1F; [None]; [None]; [0]
+COc1ccc(F)cc1[C@@H](C)Nc1ccncc1F; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1Nc1ccncc1F; [None]; [None]; [0]
+Fc1cnccc1Nc1ccnc2ccccc12; [None]; [None]; [0]
+CCn1cc(Nc2ccncc2F)cn1; [None]; [None]; [0]
+Fc1cnccc1Nc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+Fc1cnccc1Nc1ccccc1OC(F)(F)F; [None]; [None]; [0]
+O=C([O-])c1ccccc1Nc1ccncc1F; [None]; [None]; [0]
+NC(=O)c1ccccc1Nc1ccncc1F; [None]; [None]; [0]
+Fc1cnccc1Nc1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
+Cn1cnc2ccc(Nc3ccncc3F)cc2c1=O; [None]; [None]; [0]
+Fc1cnccc1Nc1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+N[C@H](Nc1ccncc1F)c1ccco1; [None]; [None]; [0]
+OCCn1cc(Nc2ccncc2F)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(Nc2ccncc2F)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2ccncc2F)c1)c1ccccc1; [None]; [None]; [0]
+COc1cnc(Nc2ccncc2F)nc1; [None]; [None]; [0]
+Fc1cnccc1Nc1cc(Cl)ccc1Cl; [None]; [None]; [0]
+Cc1ccc(Nc2ccncc2F)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1Nc1ccncc1F; [None]; [None]; [0]
+Fc1cnccc1Nc1cnc2ccccn12; [None]; [None]; [0]
+Cc1nc(C)c(Nc2ccncc2F)s1; [None]; [None]; [0]
+CNc1nc(C)c(Nc2ccncc2F)s1; [None]; [None]; [0]
+Cc1nc(N)sc1Nc1ccncc1F; [None]; [None]; [0]
+Fc1cnccc1Nc1cnc2cccnn12; [None]; [None]; [0]
+Fc1cnccc1Nc1c(Cl)cccc1Cl; [None]; [None]; [0]
+Fc1cnccc1Nc1cccc(Cn2cncn2)c1; [None]; [None]; [0]
+Fc1cnccc1Nc1cccc(Br)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(Nc2ccncc2F)c1; [None]; [None]; [0]
 Cc1c(Nc2ccncc2F)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(Nc2ccncc2F)n1; [None]; [None]; [0]
 Fc1cnccc1Nc1cnn2ncccc12; [None]; [None]; [0]
+Fc1cnccc1Nc1ccc2ccccc2c1; [None]; [None]; [0]
+CC(C)(C)c1cnc(CNc2ccncc2F)o1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(Nc2ccncc2F)c1; [None]; [None]; [0]
+Fc1cnccc1Nc1c[nH]nc1C(F)(F)F; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1Nc1ccncc1F; [None]; [None]; [0]
+Fc1cnccc1Nc1cncc2ccccc12; [None]; [None]; [0]
+Cn1cc(-c2ccc(Nc3ccncc3F)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(Nc3ccncc3F)ccc12; [None]; [None]; [0]
 CN1c2ccc(Nc3ccncc3F)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(Nc3ccncc3F)ccc21; [None]; [None]; [0]
+Fc1cnccc1Nc1ccc(-c2cn[nH]c2)cc1; [None]; [None]; [0]
+CCCn1cnc(Nc2ccncc2F)n1; [None]; [None]; [0]
+Oc1cccc(Nc2ccncc2F)c1; [None]; [None]; [0]
+OCc1cccc(Nc2ccncc2F)c1; [None]; [None]; [0]
 COc1cc(Nc2ccncc2F)ccc1C(=O)[O-]; [None]; [None]; [0]
 CC(C)n1cc(Nc2ccncc2F)nn1; [None]; [None]; [0]
+CSc1nc(Nc2ccncc2F)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1Nc1ccncc1F; [None]; [None]; [0]
+Fc1cnccc1Nc1csc2ncncc12; [None]; [None]; [0]
+Fc1cnccc1Nc1cc2ccccc2[nH]1; [None]; [None]; [0]
+N#CCCc1cccc(Nc2ccncc2F)c1; [None]; [None]; [0]
+Nc1ncncc1Nc1ccncc1F; [None]; [None]; [0]
+CCNc1nc2ccc(Nc3ccncc3F)cc2s1; [None]; [None]; [0]
+CC[C@H](CO)Nc1ccncc1F; [None]; [None]; [0]
+CCC(=O)Nc1ccc(Nc2ccncc2F)cc1; [None]; [None]; [0]
+Fc1ccc(Nc2ccncc2F)c(C(F)(F)F)c1; [None]; [None]; [0]
+Fc1cnccc1NCc1c(F)cccc1F; [None]; [None]; [0]
+CC(=O)Nc1cccc(Nc2ccncc2F)c1; [None]; [None]; [0]
+Cn1cc(Nc2ccncc2F)c2ccccc21; [None]; [None]; [0]
+COc1ccc(Nc2ccncc2F)cc1Cl; [None]; [None]; [0]
+Fc1cnccc1Nc1cnn2ccccc12; [None]; [None]; [0]
 [NH3+]Cc1ccc(Nc2ccncc2F)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(Nc2ccncc2F)cn1; [None]; [None]; [0]
+O=c1cc(Nc2ccncc2F)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(Nc3ccncc3F)c21; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(CNc2ccncc2F)c1; [None]; [None]; [0]
+CN(c1ncccc1CNc1ccncc1F)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(N)c1ccc(Nc2ccncc2F)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1Nc1ccncc1F; [None]; [None]; [0]
+C[S@](=O)c1ccc(Nc2ccncc2F)cc1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(Nc3ccncc3F)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(Nc3ccncc3F)cc12; [None]; [None]; [0]
+CC(C)Oc1cncc(Nc2ccncc2F)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2ccncc2F)cc1; [None]; [None]; [0]
+OC[C@@H](Nc1ccncc1F)c1ccccc1; [None]; [None]; [0]
+COc1cccc(F)c1Nc1ccncc1F; [None]; [None]; [0]
+Fc1cnccc1Nc1c[nH]c2cnccc12; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1Nc1ccncc1F; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)Nc1ccncc1F; [None]; [None]; [0]
+Fc1cnccc1Nc1cnc2[nH]ccc2c1; [None]; [None]; [0]
+CC1(Nc2ccncc2F)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(Nc2ccncc2F)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2ccncc2F)cc1; [None]; [None]; [0]
+Fc1cnccc1Nc1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Nc2ccncc2F)cc1; [None]; [None]; [0]
+Cc1cc(Nc2ccncc2F)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Fc1cnccc1Nc1c(F)cccc1Cl; [None]; [None]; [0]
+Fc1cnccc1Nc1ccc(-n2cncn2)cc1; [None]; [None]; [0]
+CSc1nc(C)c(Nc2ccncc2F)[nH]1; [None]; [None]; [0]
+COc1ccc(Nc2ccncc2F)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(Nc2ccncc2F)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2ccncc2F)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1Nc1ccncc1F; [None]; [None]; [0]
+Fc1cnccc1Nc1nncn1C1CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(Nc2ccncc2F)n1; [None]; [None]; [0]
-CC1(C)Oc2ccc(Nc3ccncc3F)nc2NC1=O; [None]; [None]; [0]
+Fc1cnccc1Nc1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+CCc1cc(Nc2ccncc2F)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(Nc2ccncc2F)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(Nc2ccncc2F)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1Nc1ccncc1F; [None]; [None]; [0]
+CC(C)(O)c1cccc(Nc2ccncc2F)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2ccncc2F)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(Nc2ccncc2F)CC1; [None]; [None]; [0]
+Fc1cnccc1Nc1nc2ccccc2s1; [None]; [None]; [0]
+CC1(C)Oc2ccc(Nc3ccncc3F)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(Nc3ccncc3F)c2)cc1; [None]; [None]; [0]
+Nc1cncc(Nc2ccncc2F)n1; [None]; [None]; [0]
+Fc1cnccc1Nc1cccc2ccsc12; [None]; [None]; [0]
 Fc1cnccc1Nc1cccc2nnsc12; [None]; [None]; [0]
+O=C(NCCCNc1ccncc1F)c1cccs1; [None]; [None]; [0]
 O=C(NCCCNc1ccncc1F)C1CCC1; [None]; [None]; [0]
-CC(C)(O)c1cccc(Nc2ccncc2F)n1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2ccncc2F)c1)C1CCNCC1; [None]; [None]; [0]
+CC(=O)Nc1ncc(Nc2ccncc2F)[nH]1; [None]; [None]; [0]
+Fc1cnccc1Nc1ncc2ccccc2n1; [None]; [None]; [0]
+Fc1cnccc1Nc1c[nH]c2cccnc12; [None]; [None]; [0]
+OCCn1cnc(Nc2ccncc2F)c1; [None]; [None]; [0]
+Fc1cnccc1Nc1ncc2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1Nc1ccncc1F; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1CNc1ccncc1F; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](Nc2ccncc2F)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(Nc2ccncc2F)c1; [None]; [None]; [0]
+COc1ncccc1Nc1ccncc1F; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(Nc2ccncc2F)c1; [None]; [None]; [0]
+CN(C)c1cc(Nc2ccncc2F)cnn1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ncc4ccccc4n3)c2o1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+COc1ncccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+COc1cc(-c2cccc3nc(N)oc23)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cccc4nc(N)oc34)c2c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cnc4cccnn34)c2o1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(O)c3)c2o1; [None]; [None]; [0]
+COc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(N4CCOCC4)cc3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(NC(=O)C4CC4)c3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3nc4ccccc4[nH]3)c2o1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cccc4nc(N)oc34)cc2)CC1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(C(=O)[O-])cc3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3nccc4ccccc34)c2o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Nc1nc2cccc(Nc3ncccn3)c2o1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cccc4nc(N)oc34)cn2)c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(C(=O)Nc4ccccc4)cc3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(OCCO)cc3)c2o1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(C4CCNCC4)c3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(C(=O)N4CCOCC4)cc3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(C(=O)N4CCOCC4)cn3)c2o1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
 Nc1nc2cccc(-c3ccc4c(c3)CS(=O)(=O)C4)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(C(F)(F)F)cc3)c2o1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Nc1nc2cccc(Cc3ccccc3O)c2o1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cccc3nc(N)oc23)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
+Nc1ncc(Cc2cccc3nc(N)oc23)cn1; [None]; [None]; [0]
+Nc1nc2cccc([C@H]3CCN(C(=O)c4ccccc4)C3)c2o1; [None]; [None]; [0]
 CC(C)c1cc(-c2cccc3nc(N)oc23)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cccc4nc(N)oc34)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cccc3nc(N)oc23)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(Br)cc3)c2o1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc3nc(N)oc23)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cc2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccn4nccc4n3)c2o1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)c(C)c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccccc3-n3cccn3)c2o1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3c[nH]c4ccccc34)c2o1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cccc3nc(N)oc23)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cccc4nc(N)oc34)[nH]c2c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc4c(c3)CCO4)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cc(-c4ccccc4)[nH]n3)c2o1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+COc1cc(-c2cccc3nc(N)oc23)ccc1O; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc4c3OCO4)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3scc4c3OCCO4)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(Cc3nc4ccc(F)c(F)c4[nH]3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(Cc3nc4c(F)c(F)ccc4[nH]3)c2o1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cnc4ccccc4c3)c2o1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc3nc(N)oc23)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
+Nc1nc2cccc(Cc3nc4ccccc4[nH]3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3csc(N)n3)c2o1; [None]; [None]; [0]
+Cc1ccc(-c2cccc3nc(N)oc23)c(=O)[nH]1; [None]; [None]; [0]
+Nc1nc2cccc(CCCc3ccccc3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccn(-c4cccc(Cl)c4)n3)c2o1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+CSc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cc4ccccc4s3)c2o1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cccc4nc(N)oc34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2cccc3nc(N)oc23)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc([C@H](CO)Cc3ccccc3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(F)cc3Cl)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc4c(c3)CCC(=O)N4)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ncc(Br)cn3)c2o1; [None]; [None]; [0]
+COc1ccc(-c2cccc3nc(N)oc23)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(Cl)cc3Cl)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(CCCn3cncn3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ncc4cccn4n3)c2o1; [None]; [None]; [0]
+COc1cc(-c2cccc3nc(N)oc23)ccc1N1CCOCC1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cc4ccccn4n3)c2o1; [None]; [None]; [0]
+Cn1cc(-c2cccc3nc(N)oc23)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cccc4nc(N)oc34)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cccc4nc(N)oc34)c2c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc4ccc(O)cc34)c2o1; [None]; [None]; [0]
+COc1cc(F)c(-c2cccc3nc(N)oc23)cc1OC; [None]; [None]; [0]
+COc1cc(-c2cccc3nc(N)oc23)ccc1Cl; [None]; [None]; [0]
+Nc1nc2cccc(-c3cnn(CCO)c3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ncc(Cl)cn3)c2o1; [None]; [None]; [0]
+Cc1csc2c(-c3cccc4nc(N)oc34)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
 Nc1cc(-c2cccc3nc(N)oc23)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc3nc(N)oc23)nc1; [None]; [None]; [0]
+COc1cc(-c2cccc3nc(N)oc23)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cccc3nc(N)oc23)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
 Nc1nc2cccc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)c2o1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cccc3nc(N)oc13)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cccc4nc(N)oc34)cc2c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc4cn[nH]c4c3)c2o1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CCn1cc(-c2cccc3nc(N)oc23)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cc(-c4cccnc4)ccn3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cc4ccccc4o3)c2o1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3ncc4sccc4n3)c2o1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(NC(=O)N4CCCC4)c3)c2o1; [None]; [None]; [0]
+COc1ccc2nc(-c3cccc4nc(N)oc34)[nH]c2c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(OC(F)(F)F)cc3)c2o1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+Cn1cc(-c2cccc3nc(N)oc23)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cccc4nc(N)oc34)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
 Nc1nc2cccc(-c3ncn4c3CCCC4)c2o1; [None]; [None]; [0]
+Cc1cc(-c2cccc3nc(N)oc23)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3cccc4nc(N)oc34)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cccc4nc(N)oc34)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc3nc(N)oc23)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cccc4nc(N)oc34)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cccc4nc(N)oc34)cn2)CC1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(N4CCCC4=O)c3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(CCO)cc3)c2o1; [None]; [None]; [0]
 Nc1nc2cccc(NC(=O)c3cccc(OC(F)(F)F)c3)c2o1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3nc(N)oc23)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cccc4nc(N)oc34)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3nc(N)oc23)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cccc3nc(N)oc23)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3nc(N)oc23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1cccc2nc(N)oc12; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+COC(C)(C)CCc1cccc2nc(N)oc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc3nc(N)oc23)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(Cc3cc(F)cc(F)c3)c2o1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccnc4ccccc34)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(C(F)(F)F)c3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccccc3OC(F)(F)F)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccccc3C(=O)[O-])c2o1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3cnn(Cc4ccccc4)c3)c2o1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc4nc(N)oc34)cc2c1=O; [None]; [None]; [0]
+Nc1nc2cccc(-c3cnc(-c4ccccc4)[nH]3)c2o1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cccc3nc(N)oc23)cs1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(NC(=O)c4ccccc4)c3)c2o1; [None]; [None]; [0]
 Nc1nc2cccc(-n3ncc4cccc(F)c4c3=O)c2o1; [None]; [None]; [0]
+COc1cnc(-c2cccc3nc(N)oc23)nc1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cc(Cl)ccc3Cl)c2o1; [None]; [None]; [0]
+CC(C)C(=O)COc1cccc2nc(N)oc12; [None]; [None]; [0]
+Cc1ccc(-c2cccc3nc(N)oc23)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3cnc4ccccn34)c2o1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cccc3nc(N)oc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3c(Cl)cccc3Cl)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(Cn4cncn4)c3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(Br)c3)c2o1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+Nc1nc2cccc(NCc3cccnc3)c2o1; [None]; [None]; [0]
 Cc1c(-c2cccc3nc(N)oc23)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
 Nc1nc2cccc(-c3cnn4ncccc34)c2o1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccc3nc(N)oc23)o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc4ccccc4c3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(Nc3cccnc3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-n3cnc4ccccc43)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(NCCc3c[nH]cn3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(NC(=O)c3cccs3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(CC(=O)[O-])c3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3c[nH]nc3C(F)(F)F)c2o1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3cncc4ccccc34)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(NCCc3ccccc3)c2o1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cccc4nc(N)oc34)cc2)cn1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc4c(N)[nH]nc4c3)c2o1; [None]; [None]; [0]
 CN1c2ccc(-c3cccc4nc(N)oc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(-c4cn[nH]c4)cc3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(NCc3ccc(Cl)cc3)c2o1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc(CO)c3)c2o1; [None]; [None]; [0]
 COc1cc(-c2cccc3nc(N)oc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1nc2cccc(Nc3ccncc3)c2o1; [None]; [None]; [0]
 CC(C)n1cc(-c2cccc3nc(N)oc23)nn1; [None]; [None]; [0]
+Nc1nc2cccc(NCc3ccccc3F)c2o1; [None]; [None]; [0]
+CSc1nc(-c2cccc3nc(N)oc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
 Nc1nc2cccc(CCc3c[nH]nn3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3csc4ncncc34)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cc4ccccc4[nH]3)c2o1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cncnc3N)c2o1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cccc4nc(N)oc34)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(F)cc3C(F)(F)F)c2o1; [None]; [None]; [0]
+NC(=O)CCCc1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(Oc3ccccn3)c2o1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cccc2nc(N)oc12; [None]; [None]; [0]
 Nc1nc2cccc(NC(=O)c3c(Cl)cccc3Cl)c2o1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
 CC(C)(COc1cccc2nc(N)oc12)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cccc3nc(N)oc23)cc1Cl; [None]; [None]; [0]
+Nc1nc2cccc(-c3cnn4ccccc34)c2o1; [None]; [None]; [0]
 Nc1nc2cccc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)c2o1; [None]; [None]; [0]
+CCCn1cc(-c2cccc3nc(N)oc23)cn1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cc[nH]c(=O)c3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc4c3C(=O)CC4)c2o1; [None]; [None]; [0]
+COc1cc(CCc2cccc3nc(N)oc23)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
 C[C@@H](Oc1cccc2nc(N)oc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CCN(CC)c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3cc4c(=O)[nH]ccc4o3)c2o1; [None]; [None]; [0]
 Nc1nc2cccc(-c3cc4c(=O)[nH]cc(Br)c4s3)c2o1; [None]; [None]; [0]
+COc1ccncc1Nc1cccc2nc(N)oc12; [None]; [None]; [0]
 Nc1nc2cccc(Nc3cnccc3-c3ccccc3)c2o1; [None]; [None]; [0]
-C[C@H](Nc1cccc2nc(N)oc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(Nc3cnc4ccccc4c3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3c[nH]c4cnccc34)c2o1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3cnc4[nH]ccc4c3)c2o1; [None]; [None]; [0]
+CC1(c2cccc3nc(N)oc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cccc2nc(N)oc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cccc3nc(N)oc23)cc1; [None]; [None]; [0]
+Cc1cc(-c2cccc3nc(N)oc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+C[C@H](Nc1cccc2nc(N)oc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Nc1nc2cccc(-n3ccc(CO)n3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-n3cnc(CCO)c3)c2o1; [None]; [None]; [0]
+C[C@H](Nc1cccc2nc(N)oc12)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cccc2nc(N)oc12)C(C)(C)O; [None]; [None]; [0]
+Nc1nc2cccc(-c3c(F)cccc3Cl)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-n3ncc4ccccc43)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-n3ncc4c(O)cccc43)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(-n4cncn4)cc3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3nc4ccc(O)cc4[nH]3)c2o1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc3nc(N)oc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cccc3nc(N)oc23)c(OC)c1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ccc(C(=O)c4ccccc4)cc3)c2o1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+Nc1nc2cccc(-c3nncn3C3CC3)c2o1; [None]; [None]; [0]
 Nc1nc2cccc(-c3ccn(CC[NH3+])n3)c2o1; [None]; [None]; [0]
 Nc1nc2cccc(Cc3nnc4ccc(-c5ccccc5)nn34)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(CCC(=O)NCc3ccccn3)c2o1; [None]; [None]; [0]
 Nc1nc2cccc(CS(=O)(=O)NCc3ccccn3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cn(Cc4ccccc4)nn3)c2o1; [None]; [None]; [0]
+CCc1cc(-c2cccc3nc(N)oc23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc3nc(N)oc23)nc(N)n1; [None]; [None]; [0]
+Nc1nc2cccc(-c3nnc(N)s3)c2o1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3nc(N)oc23)s1; [None]; [None]; [0]
 Nc1nc2cccc(Oc3ccc(C[NH3+])cc3F)c2o1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
+Nc1nc2cccc(-c3nc4ccccc4s3)c2o1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cccc4nc(N)oc34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc4nc(N)oc34)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cccc4ccsc34)c2o1; [None]; [None]; [0]
 Nc1nc2cccc(-c3cccc4nnsc34)c2o1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc3nc(N)oc23)[nH]1; [None]; [None]; [0]
+Nc1nc2cccc(-c3nc(N)c4ccccc4n3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3c[nH]c4cccnc34)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3cn(CCO)cn3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(-c3ncc4cc[nH]c4n3)c2o1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc2nc(N)oc12; [None]; [None]; [0]
 COc1ccc(Oc2cccc3nc(N)oc23)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccc3nc(N)oc23)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cccc3nc(N)oc23)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccc3nc(N)oc23)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc3nc(N)oc23)cnn1; [None]; [None]; [0]
+Nc1nc2cccc(N3CCC(c4nc5ccccc5[nH]4)CC3)c2o1; [None]; [None]; [0]
+Nc1nc2cccc(N3CC=C(c4c[nH]c5ccccc45)CC3)c2o1; [None]; [None]; [0]
 Nc1nc2cccc(-c3cccc(NC(=O)C4CCNCC4)c3)c2o1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(N(C)C(C)=O)cc3)nc21; [None]; [None]; [0]
+CCOc1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ncc4ccccc4n3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3sc(C(C)(C)O)nc3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccnc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(S(C)(=O)=O)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(OC)c(OC)c(OC)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-n3cnc4ccc(C)cc43)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnc4cccnn34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(C#N)ccc3O)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(O)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(OC)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(N4CCOCC4)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(NC(=O)C4CC4)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3nc4ccccc4[nH]3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc(CC(=O)N4CCN(C(C)=O)CC4)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3cc(C)ns3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)[O-])cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3nccc4ccccc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(N)=O)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3ncccn3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cnn(Cc4cccc(C#N)c4)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)Nc4ccccc4)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(OCCO)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(CNC(C)=O)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(C4CCNCC4)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)N4CCOCC4)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)N4CCOCC4)cn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3ccncn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(OC[C@H](C)O)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(OC[C@@H](C)O)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(S(=O)(=O)NC)cc3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc4c(c3)CS(=O)(=O)C4)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(F)(F)F)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(N(C)C)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(S(=O)(=O)N(C)C)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3sc(C)nc3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(C3CCN(S(C)(=O)=O)CC3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc([C@H]3CCN(C(=O)c4ccccc4)C3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cc(C(C)C)nc(N)n3)nc21; [None]; [None]; [0]
-CCCOc1ccc(-c2ncc3ncn(CC)c3n2)nc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cccc(N4CCCN(C(C)=O)CC4)c3)nc21; [None]; [None]; [0]
+CCCOc1ccc(-c2ncc3ncn(CC)c3n2)nc1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(C(=O)[O-])c3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(Br)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(N(C)C)c(Cl)c3)nc21; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccn4nccc4n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(S(=O)(=O)NC)cc3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccccc3-n3cccn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(Cl)ccc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3c[nH]c4ccccc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(Cl)c(OC)cc3OC)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3nc4ccc(C(C)C)cc4[nH]3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc4c(c3)CCO4)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(-c4ccccc4)[nH]n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(NC(C)=O)c3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc(C(=O)N4CCOCC4)cc3OC)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3nc4c(F)c(F)ccc4[nH]3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(O)c(OC)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc4c3OCO4)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3scc4c3OCCO4)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(C)(C)C)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnc4ccccc4c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)N(C)C)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(C)(C)C)nc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc([C@@H]3CC[C@@H](NC(C)=O)CC3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3csc(N)n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccn(-c4cccc(Cl)c4)n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(OCC3(C)COC3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(NC(=O)c3cccc(OC)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(SC)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc4ccccc4s3)nc21; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3ncc4ncn(CC)c4n3)cc2)CC1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(C)nc(N)n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(F)cc3Cl)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc4c(c3)CCC(=O)N4)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ncc(Br)cn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(OC)c(OC)c3)nc21; [None]; [None]; [0]
+CCc1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)N4CCC[C@@H]4C)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(NCc3ccc(OC)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(Cl)cc3Cl)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(NC3CN(C(=O)C4CC4)C3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ncc4cccn4n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(N4CCOCC4)c(OC)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc4ccccn4n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cn(C)nc3C(F)(F)F)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc4c(c3)CC(C)(C)O4)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc4ccc(OC)cc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc4ccc(O)cc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(OC)c(OC)cc3F)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(Cl)c(OC)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnn(CCO)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ncc(Cl)cn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ncnc4c(C)csc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3nc(C)c(C)s3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3cc(C)n(C)n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)NC)cc3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cc(N)nc4[nH]ccc34)nc21; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ncc3ncn(CC)c3n2)nc1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(OC)c(Br)cc3OC)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc(CS(C)(=O)=O)cc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Cc3ccc(C(N)=O)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Cc3ccc(S(=O)(=O)CCO)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(NC(=O)c3ccco3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc([C@@H]3CC[C@@H](OC)CC3)nc21; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ncc3ncn(CC)c3n2)CC1; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(OC)cc(OC)c3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cn(C)c4ccc(OC)cc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc4cc(OC)ccc4o3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc4cn[nH]c4c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C[NH+](C)C)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(NC(=O)c3ccc(C(C)(C)C)cc3)nc21; [None]; [None]; [0]
+CCn1cc(-c2ncc3ncn(CC)c3n2)cn1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(C(=O)NC)ccc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(-c4cccnc4)ccn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc4ccccc4o3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(Br)cn3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ncc4sccc4n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cn(C)nc3C(C)C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(NC(=O)N4CCCC4)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3nc4ccc(OC)cc4[nH]3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(OC(F)(F)F)cc3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(NC(=O)c3cc(OC)ccc3F)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cn(C)c4ccccc34)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cc4ccc(C(C)(C)O)cc4[nH]3)nc21; [None]; [None]; [0]
+CCc1cccc(-c2ncc3ncn(CC)c3n2)n1; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ncn4c3CCCC4)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(C)c(OCCO)c(C)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc4c(cnn4C)c3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc4c(c3)c(Cl)nn4C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(N(C)C)nc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc4c(C)n[nH]c4c3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cnn(C4CCN(C(C)=O)CC4)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(N4CCCC4=O)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(CCO)cc3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(NC(=O)c3cccc(OC(F)(F)F)c3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3ccc(-c4cnn(C)c4)cc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)N(C)C)cc3Cl)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc(-c4cnc(C)n4C)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(-c4cnn(C)c4)cc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(N4CCOCC4)cc3C)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc(S(C)(=O)=O)cc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(N4CCNCC4)cc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)NC)cc3OC)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cc(C(C)(C)O)n(C)n3)nc21; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)N(C)C)cn3)nc21; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3ccc(F)cn3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(Nc3cc(C)c(F)cn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3ccccn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(S(C)(=O)=O)ccc3Cl)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(C(=O)NC)ccc3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(C(=O)NCCO)ccc3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccccc3C(=O)NC)nc21; [None]; [None]; [0]
+CCOc1ccccc1-c1ncc2ncn(CC)c2n1; [None]; [None]; [0]
+CCn1cnc2cnc(CCC(C)(C)OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccccc3-c3nnc(C)[nH]3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccccc3S(=O)(=O)C(C)C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Cc3cc(F)cc(F)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccccc3P(C)(C)=O)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccnc4ccccc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(C(F)(F)F)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccccc3OC(F)(F)F)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccccc3C(=O)[O-])nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccccc3C(N)=O)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnn(Cc4ccccc4)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc4ncn(C)c(=O)c4c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnc(-c4ccccc4)[nH]3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3csc(C(C)(C)C)n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(NC(=O)c4ccccc4)c3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-n3ncc4cccc(F)c4c3=O)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ncc(OC)cn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(Cl)ccc3Cl)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(OCC(=O)C(C)C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C)cc3Br)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3c(C)nc4ccccn34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnc4ccccn34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3sc(NC)nc3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3sc(N)nc3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3c(Cl)cccc3Cl)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(Cn4cncn4)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(Br)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(C)ccc3Cl)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(NCc3cccnc3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3sc(=O)n(C)c3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccnc(N)n3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cnn4ncccc34)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(Cc3ncc(C(C)(C)C)o3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc4ccccc4c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3cccnc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-n3cnc4ccccc43)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(NCCc3c[nH]cn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(NC(=O)c3cccs3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(CC(=O)[O-])c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3c[nH]nc3C(F)(F)F)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(F)c3C(N)=O)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cncc4ccccc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(NCCc3ccccc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(-c4cnn(C)c4)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc4c(N)[nH]nc4c3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc4c(c3)CS(=O)(=O)N4C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(-c4cn[nH]c4)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(NCc3ccc(Cl)cc3)nc21; [None]; [None]; [0]
+CCCn1cnc(-c2ncc3ncn(CC)c3n2)n1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(CO)c3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc(C(=O)[O-])c(OC)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3ccncc3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cn(C(C)C)nn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(NCc3ccccc3F)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3c[nH]c(SC)n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnoc3C(C)C)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(CCc3c[nH]nn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3csc4ncncc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc4ccccc4[nH]3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(CCC#N)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cncnc3N)nc21; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ncc4ncn(CC)c4n3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ncc3ncn(CC)c3n2)cc1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(F)cc3C(F)(F)F)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(CCCC(N)=O)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Oc3ccccn3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(CCNC(=O)CC(C)(C)O)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(NC(=O)c3c(Cl)cccc3Cl)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(N3CCC(S(C)(=O)=O)CC3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(OCC(C)(C)S(C)(=O)=O)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(O[C@H](C)c3c(Cl)cncc3Cl)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(OC)c(Cl)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnn4ccccc34)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc(C[NH3+])c(C(F)(F)F)c3)nc21; [None]; [None]; [0]
+CCCn1cc(-c2ncc3ncn(CC)c3n2)cn1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc[nH]c(=O)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc4c3C(=O)CC4)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(CCc3cc(OC)cc(OC)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(C)(C)N)cc3)nc21; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ncc2ncn(CC)c2n1; [None]; [None]; [0]
+CCn1cnc2cnc(O[C@H](C)c3c(Cl)cncc3Cl)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc([S@](C)=O)cc3)nc21; [None]; [None]; [0]
+CCN(CC)c1ncc2ncn(CC)c2n1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc4c(=O)[nH]ccc4o3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cc4c(=O)[nH]cc(Br)c4s3)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3cnccc3OC)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(Nc3cnccc3-c3ccccc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cncc(OC(C)C)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3c(F)cccc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(Nc3cnc4ccccc4c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3c[nH]c4cnccc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(F)c3C(=O)NC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnc4[nH]ccc4c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(C3(C)CCN(S(C)(=O)=O)CC3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(N(C)[C@H]3C[C@@H](NS(C)(=O)=O)C3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(S(=O)(=O)NC(C)(C)C)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(S(C)(=O)=O)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(C)nn3-c3cccc(Cl)c3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(N[C@@H](C)C(=O)NCC(F)(F)F)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-n3ccc(CO)n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-n3cnc(CCO)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(N[C@@H](C)C(C)(C)O)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(N[C@H](C)C(C)(C)O)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3c(F)cccc3Cl)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-n3ncc4ccccc43)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-n3ncc4c(O)cccc43)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(-n4cncn4)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3nc4ccc(O)cc4[nH]3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3[nH]c(SC)nc3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(OC)cc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)c4ccccc4)cc3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3nncn3C(C)C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3nncn3C3CC3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccn(CC[NH3+])n3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(Cc3nnc4ccc(-c5ccccc5)nn34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(CCC(=O)NCc3ccccn3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(CS(=O)(=O)NCc3ccccn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cn(Cc4ccccc4)nn3)nc21; [None]; [None]; [0]
+CCc1cc(-c2ncc3ncn(CC)c3n2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ncc3ncn(CC)c3n2)nc(N)n1; [None]; [None]; [0]
+CCn1cnc2cnc(-c3nnc(N)s3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cc(C(N)=O)cn3C)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(C(C)(C)O)n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ccc(C(=O)NC)s3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(Oc3ccc(C[NH3+])cc3F)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(C3CCN(C(=O)N[C@@H2]C)CC3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3nc4ccccc4s3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3ccc4c(n3)NC(=O)C(C)(C)O4)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cccc(C(=O)Nc4ccc(C(=O)NC)cc4)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cncc(N)n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc4ccsc34)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cccc4nnsc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnc(NC(C)=O)[nH]3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3nc(N)c4ccccc4n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3c[nH]c4cccnc34)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cn(CCO)cn3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3ncc4cc[nH]c4n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(C#N)ccc3OC)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(Oc3ccc(OC)c(F)c3F)nc21; [None]; [None]; [0]
-CCn1cnc2cnc(-c3cccc(C(C)(C)O)n3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc([C@H]3CC[C@@](C)(O)CC3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cc(OC)ccc3OC)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cccc(S(=O)(=O)N(C)C)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(-c3cnnc(N(C)C)c3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(N3CCC(c4nc5ccccc5[nH]4)CC3)nc21; [None]; [None]; [0]
+CCn1cnc2cnc(N3CC=C(c4c[nH]c5ccccc45)CC3)nc21; [None]; [None]; [0]
 CCn1cnc2cnc(-c3cccc(NC(=O)C4CCNCC4)c3)nc21; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1NC(=O)c1ccncc1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(NC(=O)c3ccncc3)cc2)CC1; [None]; [None]; [0]
-O=C(Nc1ccc2c(c1)CS(=O)(=O)C2)c1ccncc1; [None]; [None]; [0]
-CC(C)c1cc(NC(=O)c2ccncc2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(NC(=O)c3ccncc3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(NC(=O)c2ccncc2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(NC(=O)c3ccncc3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1NC(=O)c1ccncc1; [None]; [None]; [0]
-Nc1cc(NC(=O)c2ccncc2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1NC(=O)c1ccncc1; [None]; [None]; [0]
-O=C(Nc1cccc(C(=O)Nc2cn[nH]c2)c1)c1ccncc1; [None]; [None]; [0]
-COc1ccc2c(c1)c(NC(=O)c1ccncc1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NNC(=O)c2ccncc2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(NC(=O)c3ccncc3)[nH]c2c1; [None]; [None]; [0]
-O=C(Nc1ncn2c1CCCC2)c1ccncc1; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(NC(=O)c3ccncc3)cn2)CC1; [None]; [None]; [0]
-O=C(NNC(=O)c1cccc(OC(F)(F)F)c1)c1ccncc1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(NC(=O)c3ccncc3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1NC(=O)c1ccncc1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1NC(=O)c1ccncc1; [None]; [None]; [0]
-Cn1nc(NC(=O)c2ccncc2)cc1C(C)(C)O; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
+CCOc1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc3ccccc3n2)o1; [None]; [None]; [0]
 Cc1ccc(C(=O)Nc2sc(C(C)(C)O)nc2C)o1; [None]; [None]; [0]
+COc1ncccc1NC(=O)c1ccc(C)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cccc(S(C)(=O)=O)c2)o1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(C)o2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(NC(=O)c3ccc(C)o3)c2c1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cnc3cccnn23)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc(C#N)ccc2O)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cccc(O)c2)o1; [None]; [None]; [0]
+COc1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(N3CCOCC3)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cccc(NC(=O)C3CC3)c2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2nc3ccccc3[nH]2)o1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(NC(=O)c3ccc(C)o3)cc2)CC1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(=O)[O-])cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2nccc3ccccc23)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(N)=O)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)NNc2ncccn2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cnn(Cc3cccc(C#N)c3)c2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(=O)Nc3ccccc3)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(OCCO)cc2)o1; [None]; [None]; [0]
+CC(=O)NCc1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cccc(C3CCNCC3)c2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(=O)N3CCOCC3)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(=O)N3CCOCC3)cn2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(OC[C@H](C)O)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(OC[C@@H](C)O)cc2)o1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
 Cc1ccc(C(=O)Nc2ccc3c(c2)CS(=O)(=O)C3)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(F)(F)F)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(N(C)C)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(S(=O)(=O)N(C)C)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2ccccc2O)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2sc(C)nc2C)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)NC2CCN(S(C)(=O)=O)CC2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2cnc(N)nc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)N[C@H]2CCN(C(=O)c3ccccc3)C2)o1; [None]; [None]; [0]
 Cc1ccc(C(=O)Nc2cc(C(C)C)nc(N)n2)o1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(NC(=O)c3ccc(C)o3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(NC(=O)c2ccc(C)o2)nc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cccc(C(=O)[O-])c2C)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(Br)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(N(C)C)c(Cl)c2)o1; [None]; [None]; [0]
+COc1ccc(CNC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccn3nccc3n2)o1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)c2ccc(C)o2)c(C)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccccc2-n2cccn2)o1; [None]; [None]; [0]
+COc1ccc(Cl)cc1NC(=O)c1ccc(C)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2c[nH]c3ccccc23)o1; [None]; [None]; [0]
+COc1cc(OC)c(NC(=O)c2ccc(C)o2)cc1Cl; [None]; [None]; [0]
 Cc1ccc(C(=O)Nc2nc3ccc(C(C)C)cc3[nH]2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc3c(c2)CCO3)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc(-c3ccccc3)[nH]n2)o1; [None]; [None]; [0]
+CC(=O)Nc1cccc(NC(=O)c2ccc(C)o2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1NC(=O)c1ccc(C)o1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(C)o2)ccc1O; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cccc3c2OCO3)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2scc3c2OCCO3)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2nc3ccc(F)c(F)c3[nH]2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2nc3c(F)c(F)ccc3[nH]2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(C)(C)C)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cnc3ccccc3c2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(=O)N(C)C)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(C)(C)C)nc2)o1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](NC(=O)c2ccc(C)o2)CC1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2nc3ccccc3[nH]2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2csc(N)n2)o1; [None]; [None]; [0]
+Cc1ccc(NC(=O)c2ccc(C)o2)c(=O)[nH]1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCCc2ccccc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccn(-c3cccc(Cl)c3)n2)o1; [None]; [None]; [0]
+COc1cccc(C(=O)NNC(=O)c2ccc(C)o2)c1; [None]; [None]; [0]
+CSc1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc3ccccc3s2)o1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(NC(=O)c3ccc(C)o3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(NC(=O)c2ccc(C)o2)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)NC(=O)c1ccc(C)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)N[C@H](CO)Cc2ccccc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(F)cc2Cl)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc3c(c2)CCC(=O)N3)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc(Br)cn2)o1; [None]; [None]; [0]
+COc1ccc(NC(=O)c2ccc(C)o2)cc1OC; [None]; [None]; [0]
+CCc1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(=O)N3CCC[C@@H]3C)cc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(Cl)cc2Cl)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCCn2cncn2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc3cccn3n2)o1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(C)o2)ccc1N1CCOCC1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc3ccccn3n2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cn(C)nc2C(F)(F)F)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc3c(c2)CC(C)(C)O3)o1; [None]; [None]; [0]
+COc1ccc2cccc(NC(=O)c3ccc(C)o3)c2c1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cccc3ccc(O)cc23)o1; [None]; [None]; [0]
+COc1cc(F)c(NC(=O)c2ccc(C)o2)cc1OC; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(C)o2)ccc1Cl; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cnn(CCO)c2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc(Cl)cn2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncnc3c(C)csc23)o1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
 Cc1ccc(C(=O)Nc2cc(N)nc3[nH]ccc23)o1; [None]; [None]; [0]
+CCNC(=O)c1ccc(NC(=O)c2ccc(C)o2)nc1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(C)o2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(CNC(=O)c2ccc(C)o2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1NC(=O)c1ccc(C)o1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](NC(=O)c2ccc(C)o2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(NC(=O)c2ccc(C)o2)CC1; [None]; [None]; [0]
 Cc1ccc(C(=O)Nc2cccc(C(=O)Nc3cn[nH]c3)c2)o1; [None]; [None]; [0]
+COc1cc(NC(=O)c2ccc(C)o2)cc(OC)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(NC(=O)c1ccc(C)o1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(NC(=O)c3ccc(C)o3)cc2c1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc3cn[nH]c3c2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C[NH+](C)C)cc2)o1; [None]; [None]; [0]
+CCn1cc(NC(=O)c2ccc(C)o2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(NC(=O)c2ccc(C)o2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc(-c3cccnc3)ccn2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc3ccccc3o2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc(Br)cn2C)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc3sccc3n2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cn(C)nc2C(C)C)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cccc(NC(=O)N3CCCC3)c2)o1; [None]; [None]; [0]
+COc1ccc2nc(NC(=O)c3ccc(C)o3)[nH]c2c1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(OC(F)(F)F)cc2)o1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NNC(=O)c2ccc(C)o2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cn(C)c3ccccc23)o1; [None]; [None]; [0]
 Cc1ccc(C(=O)Nc2cc3ccc(C(C)(C)O)cc3[nH]2)o1; [None]; [None]; [0]
+CCc1cccc(NC(=O)c2ccc(C)o2)n1; [None]; [None]; [0]
 Cc1ccc(C(=O)Nc2ncn3c2CCCC3)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc(C)c(OCCO)c(C)c2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc3c(cnn3C)c2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc3c(c2)c(Cl)nn3C)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(N(C)C)nc2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc3c(C)n[nH]c3c2)o1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(NC(=O)c3ccc(C)o3)cn2)CC1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cccc(N3CCCC3=O)c2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(CCO)cc2)o1; [None]; [None]; [0]
 Cc1ccc(C(=O)NNC(=O)c2cccc(OC(F)(F)F)c2)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(=O)N(C)C)cc2Cl)o1; [None]; [None]; [0]
 Cc1ccc(C(=O)Nc2ccc(-c3cnc(C)n3C)cc2)o1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1NC(=O)c1ccc(C)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(N3CCOCC3)cc2C)o1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1NC(=O)c1ccc(C)o1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1NC(=O)c1ccc(C)o1; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2ccc(C)o2)c(OC)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)Nc2cc(C(C)(C)O)n(C)n2)o1; [None]; [None]; [0]
+CCNC(=O)c1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(C(=O)N(C)C)cn2)o1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(NC(=O)c2ccc(C)o2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc(S(C)(=O)=O)ccc2Cl)o1; [None]; [None]; [0]
+Cc1ccc(C(=O)N[C@H](C)CS(C)(=O)=O)o1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(NC(=O)c2ccc(C)o2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc(C(=O)NCCO)ccc2C)o1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ncc3ccccc3n2)o1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+COc1ncccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)o2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ccc(C(N)=O)o3)c2c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnc3cccnn23)o1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(O)c2)o1; [None]; [None]; [0]
+COc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(N3CCOCC3)cc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(NC(=O)C3CC3)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc3ccccc3[nH]2)o1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc(C(N)=O)o3)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(=O)[O-])cc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nccc3ccccc23)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(Nc2ncccn2)o1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3ccc(C(N)=O)o3)cn2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(=O)Nc3ccccc3)cc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(OCCO)cc2)o1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(C3CCNCC3)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(=O)N3CCOCC3)cc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(=O)N3CCOCC3)cn2)o1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2ccc3c(c2)CS(=O)(=O)C3)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(F)(F)F)cc2)o1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2ccccc2O)o1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccc(C(N)=O)o2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2ccc(C(N)=O)o2)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cnc(N)nc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc([C@H]2CCN(C(=O)c3ccccc3)C2)o1; [None]; [None]; [0]
 CC(C)c1cc(-c2ccc(C(N)=O)o2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3ccc(C(N)=O)o3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2ccc(C(N)=O)o2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(Br)cc2)o1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc(C(N)=O)o2)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cc2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccn3nccc3n2)o1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(C(N)=O)o2)c(C)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccccc2-n2cccn2)o1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2c[nH]c3ccccc23)o1; [None]; [None]; [0]
+COc1cc(OC)c(-c2ccc(C(N)=O)o2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3ccc(C(N)=O)o3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3c(c2)CCO3)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(-c3ccccc3)[nH]n2)o1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)o2)ccc1O; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc3c2OCO3)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2scc3c2OCCO3)o1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nc3ccc(F)c(F)c3[nH]2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nc3c(F)c(F)ccc3[nH]2)o1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnc3ccccc3c2)o1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc(C(N)=O)o2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc(C(N)=O)o2)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nc3ccccc3[nH]2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2csc(N)n2)o1; [None]; [None]; [0]
+Cc1ccc(-c2ccc(C(N)=O)o2)c(=O)[nH]1; [None]; [None]; [0]
+NC(=O)c1ccc(CCCc2ccccc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccn(-c3cccc(Cl)c3)n2)o1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
+CSc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc3ccccc3s2)o1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3ccc(C(N)=O)o3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2ccc(C(N)=O)o2)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc([C@H](CO)Cc2ccccc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(F)cc2Cl)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3c(c2)CCC(=O)N3)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ncc(Br)cn2)o1; [None]; [None]; [0]
+COc1ccc(-c2ccc(C(N)=O)o2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(Cl)cc2Cl)o1; [None]; [None]; [0]
+NC(=O)c1ccc(CCCn2cncn2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ncc3cccn3n2)o1; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)o2)ccc1N1CCOCC1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc3ccccn3n2)o1; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(N)=O)o2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3ccc(C(N)=O)o3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3ccc(C(N)=O)o3)c2c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc3ccc(O)cc23)o1; [None]; [None]; [0]
+COc1cc(F)c(-c2ccc(C(N)=O)o2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)o2)ccc1Cl; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn(CCO)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ncc(Cl)cn2)o1; [None]; [None]; [0]
+Cc1csc2c(-c3ccc(C(N)=O)o3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)o1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc(C(N)=O)o2)nc1; [None]; [None]; [0]
+COc1cc(-c2ccc(C(N)=O)o2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2ccc(C(N)=O)o2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ccc(C(N)=O)o2)CC1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)o1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1ccc(C(N)=O)o1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3ccc(C(N)=O)o3)cc2c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3cn[nH]c3c2)o1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+CCn1cc(-c2ccc(C(N)=O)o2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(-c3cccnc3)ccn2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc3ccccc3o2)o1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ncc3sccc3n2)o1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(NC(=O)N3CCCC3)c2)o1; [None]; [None]; [0]
+COc1ccc2nc(-c3ccc(C(N)=O)o3)[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(OC(F)(F)F)cc2)o1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(N)=O)o2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3ccc(C(N)=O)o3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2ccc(C(N)=O)o2)n1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2ncn3c2CCCC3)o1; [None]; [None]; [0]
+Cc1cc(-c2ccc(C(N)=O)o2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc(C(N)=O)o3)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3ccc(C(N)=O)o3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc(C(N)=O)o2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ccc(C(N)=O)o3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3ccc(C(N)=O)o3)cn2)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(N3CCCC3=O)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(CCO)cc2)o1; [None]; [None]; [0]
 NC(=O)c1ccc(NC(=O)c2cccc(OC(F)(F)F)c2)o1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc(C(N)=O)o2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3ccc(C(N)=O)o3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(C(N)=O)o2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2ccc(C(N)=O)o2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc(C(N)=O)o2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1ccc(C(N)=O)o1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc3ncccc23)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2c(Cl)ccc3c2OCO3)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(Cl)c(O)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2n[nH]c3ccccc23)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2c(Cl)cccc2Cl)o1; [None]; [None]; [0]
+NC(=O)c1ccc(Oc2ccc(F)cc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(N)=O)o2)c(F)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(O)cc2Cl)o1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(O)cc2F)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccnc(N)n2)o1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc(C(N)=O)o3)cc2[nH]1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cn[nH]c2Cl)o1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2ccc(-c3ccc(O)cc3O)cc2)o1; [None]; [None]; [0]
-Cc1n[nH]c2cc(N(C)c3ccc(C(N)=O)o3)ccc12; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc(C(N)=O)o2)o1; [None]; [None]; [0]
+COc1cc(CCc2ccc(C(N)=O)o2)ccc1O; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(Br)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3ccccc3c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(O)c(F)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(O)cc2O)o1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cnn3ncccc23)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2c[nH]c3cnccc23)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccnc(N)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(COc2ccccc2Cl)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(F)c(Cl)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2[nH]cnc2-c2ccc(F)cc2)o1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(O)ccc2Cl)o1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnc(O)c(Cl)c2)o1; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccc(C(N)=O)o2)c[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc(C(N)=O)o3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(C(N)=O)o3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc(C(N)=O)o2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnc3[nH]ccc3c2)o1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc(C(N)=O)o2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc3ccccc3s2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cncc(O)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3c(c2)CC(=O)N3)o1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccc(C(N)=O)o1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(C(N)=O)o2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)c3ccc(C(N)=O)o3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc(C(N)=O)o2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(C(F)F)n[nH]2)o1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccncc2Cl)o1; [None]; [None]; [0]
+CCc1sccc1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(Cl)c(O)c(Cl)c2)o1; [None]; [None]; [0]
+CNc1nc(-c2ccc(C(N)=O)o2)ncc1F; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3c(c2)CCN3)o1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cc(O)n3nccc3n2)o1; [None]; [None]; [0]
 Cc1oc(-c2ccc(C(N)=O)o2)cc1C(=O)[O-]; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3[nH]c(=O)[nH]c3c2)o1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(Nc2ccncc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(Br)cc2F)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2[nH]nc3ccc(F)cc23)o1; [None]; [None]; [0]
 CN(c1ccc(C(N)=O)o1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(O)cc(Br)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(=O)NC3CC3)cc2)o1; [None]; [None]; [0]
+Cc1cc(-c2ccc(C(N)=O)o2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(C(N)=O)o3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2ccc(C(N)=O)o2)cc(C)c1O; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(F)c(O)c(F)c2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3c(=O)[nH][nH]c3c2)o1; [None]; [None]; [0]
+CSc1cccc(-c2ccc(C(N)=O)o2)c1; [None]; [None]; [0]
+NC(=O)c1ccc(CCc2c[nH]c3ccccc23)o1; [None]; [None]; [0]
+NC(=O)c1ccc(OCc2cccc3ccccc23)o1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2ocnc2-c2ccc(F)cc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(Oc2ccc(F)cc2F)o1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1ccc(C(N)=O)o1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)o1; [None]; [None]; [0]
+NC(=O)c1ccc(OCc2ccc(F)cc2F)o1; [None]; [None]; [0]
+NC(=O)c1ccc(CCc2ccc(F)cc2F)o1; [None]; [None]; [0]
+NC(=O)c1ccc(NCc2c(F)cccc2Cl)o1; [None]; [None]; [0]
 CCN(c1ccc(N(C)C(C)=O)cc1)c1ncncc1F; [None]; [None]; [0]
 CCOc1ccc(N(CC)c2ncncc2F)cc1; [None]; [None]; [0]
 CCN(c1ncc2ccccc2n1)c1ncncc1F; [None]; [None]; [0]
@@ -60038,6 +39436,7 @@ CCN(c1cccc(S(C)(=O)=O)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(OC)c(OC)c(OC)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)n1cnc2ccc(C)cc21; [None]; [None]; [0]
 CCN(c1ncncc1F)c1cnc2cccnn12; [None]; [None]; [0]
+CCN(c1cc(C#N)ccc1O)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cccc(O)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(OC)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(N2CCOCC2)cc1)c1ncncc1F; [None]; [None]; [0]
@@ -60045,14 +39444,12 @@ CCN(c1cccc(NC(=O)C2CC2)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1nc2ccccc2[nH]1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(CC(=O)N2CCN(C(C)=O)CC2)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(Nc1cc(C)ns1)c1ncncc1F; [None]; [None]; [0]
-CCN(c1ncncc1F)n1ncc2ccccc2c1=O; [None]; [None]; [0]
-CCN(c1ccc(NS(C)(=O)=O)nc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C(=O)[O-])cc1)c1ncncc1F; [None]; [None]; [0]
-CCN(Nc1ncccn1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ncncc1F)c1nccc2ccccc12; [None]; [None]; [0]
 CCN(c1ccc(C(N)=O)cc1)c1ncncc1F; [None]; [None]; [0]
+CCN(Nc1ncccn1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cnn(Cc2cccc(C#N)c2)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C(=O)Nc2ccccc2)cc1)c1ncncc1F; [None]; [None]; [0]
-CCN(Cc1nccc2ccccc12)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(OCCO)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(CNC(C)=O)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cccc(C2CCNCC2)c1)c1ncncc1F; [None]; [None]; [0]
@@ -60066,10 +39463,8 @@ CCN(c1ccc2c(c1)CS(=O)(=O)C2)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C(F)(F)F)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(N(C)C)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(S(=O)(=O)N(C)C)cc1)c1ncncc1F; [None]; [None]; [0]
-CCN(Cc1ccccc1O)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)c1sc(C)nc1C; [None]; [None]; [0]
 CCN(c1ncncc1F)C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CCN(Cc1cnc(N)nc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
 CCN(c1cc(C(C)C)nc(N)n1)c1ncncc1F; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(N(CC)c2ncncc2F)cc1; [None]; [None]; [0]
@@ -60078,13 +39473,15 @@ CCCOc1ccc(N(CC)c2ncncc2F)nc1; [None]; [None]; [0]
 CCN(c1cccc(C(=O)[O-])c1C)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(Br)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(N(C)C)c(Cl)c1)c1ncncc1F; [None]; [None]; [0]
-CCN(Cc1ccc(OC)cc1)c1ncncc1F; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(N(CC)c2ncncc2F)cc1; [None]; [None]; [0]
+CCN(c1ccn2nccc2n1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccc(S(=O)(=O)NC)cc1C)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccccc1-n1cccn1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(Cl)ccc1OC)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)c1c[nH]c2ccccc12; [None]; [None]; [0]
 CCN(c1cc(Cl)c(OC)cc1OC)c1ncncc1F; [None]; [None]; [0]
 CCN(c1nc2ccc(C(C)C)cc2[nH]1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc2c(c1)CCO2)c1ncncc1F; [None]; [None]; [0]
-CCN(c1cc2ccccc2cn1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(-c2ccccc2)[nH]n1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cccc(NC(C)=O)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C(=O)N2CCOCC2)cc1OC)c1ncncc1F; [None]; [None]; [0]
@@ -60094,22 +39491,24 @@ CCN(c1ncncc1F)c1scc2c1OCCO2; [None]; [None]; [0]
 CCN(c1ccc(C(C)(C)C)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cnc2ccccc2c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C(=O)N(C)C)cc1)c1ncncc1F; [None]; [None]; [0]
-CCN(Cc1nc2c(F)c(F)ccc2[nH]1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C(C)(C)C)nc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
+CCN(c1csc(N)n1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccn(-c2cccc(Cl)c2)n1)c1ncncc1F; [None]; [None]; [0]
 CCN(OCC1(C)COC1)c1ncncc1F; [None]; [None]; [0]
 CCN(NC(=O)c1cccc(OC)c1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccc(SC)cc1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1cc2ccccc2s1)c1ncncc1F; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(N(CC)c3ncncc3F)cc2)CC1; [None]; [None]; [0]
 CCN(c1cc(C)nc(N)n1)c1ncncc1F; [None]; [None]; [0]
-CCN(c1cccc(SC)c1)c1ncncc1F; [None]; [None]; [0]
-CCN(c1ncncc1F)[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
 CCN(c1ccc(F)cc1Cl)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccc2c(c1)CCC(=O)N2)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncc(Br)cn1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(OC)c(OC)c1)c1ncncc1F; [None]; [None]; [0]
 CCc1ccc(N(CC)c2ncncc2F)cc1; [None]; [None]; [0]
+CCN(c1ccc(C(=O)N2CCC[C@@H]2C)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(NCc1ccc(OC)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(Cl)cc1Cl)c1ncncc1F; [None]; [None]; [0]
-CCN(CCCn1cncn1)c1ncncc1F; [None]; [None]; [0]
 CCN(NC1CN(C(=O)C2CC2)C1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncc2cccn2n1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(N2CCOCC2)c(OC)c1)c1ncncc1F; [None]; [None]; [0]
@@ -60120,23 +39519,25 @@ CCN(c1ncncc1F)c1cccc2ccc(OC)cc12; [None]; [None]; [0]
 CCN(c1ncncc1F)c1cccc2ccc(O)cc12; [None]; [None]; [0]
 CCN(c1cc(OC)c(OC)cc1F)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(Cl)c(OC)c1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1cnn(CCO)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncc(Cl)cn1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)c1ncnc2c(C)csc12; [None]; [None]; [0]
 CCN(Nc1nc(C)c(C)s1)c1ncncc1F; [None]; [None]; [0]
 CCN(Nc1cc(C)n(C)n1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccc(C(=O)NC)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(N(CC)c2ncncc2F)nc1; [None]; [None]; [0]
 CCN(c1cc(OC)c(Br)cc1OC)c1ncncc1F; [None]; [None]; [0]
-CCN(Cc1cc(OC)ccc1OC)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(CS(C)(=O)=O)cc1OC)c1ncncc1F; [None]; [None]; [0]
 CCN(Cc1ccc(C(N)=O)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(Cc1ccc(S(=O)(=O)CCO)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(NC(=O)c1ccco1)c1ncncc1F; [None]; [None]; [0]
-CCNC(=O)N1CCC(N(CC)c2ncncc2F)CC1; [None]; [None]; [0]
 CCN(c1ncncc1F)[C@@H]1CC[C@@H](OC)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(N(CC)c2ncncc2F)CC1; [None]; [None]; [0]
 CCN(c1cccc(C(=O)Nc2cn[nH]c2)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(OC)cc(OC)c1)c1ncncc1F; [None]; [None]; [0]
-CCN(c1cc2cc(OC)ccc2o1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)c1cn(C)c2ccc(OC)cc12; [None]; [None]; [0]
+CCN(c1cc2cc(OC)ccc2o1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc2cn[nH]c2c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C[NH+](C)C)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(NC(=O)c1ccc(C(C)(C)C)cc1)c1ncncc1F; [None]; [None]; [0]
@@ -60145,10 +39546,8 @@ CCN(c1cc(C(=O)NC)ccc1OC)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(-c2cccnc2)ccn1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc2ccccc2o1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)c1cc(Br)cn1C; [None]; [None]; [0]
-CCN(c1ccc(C(=O)NC)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncc2sccc2n1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cn(C)nc1C(C)C)c1ncncc1F; [None]; [None]; [0]
-CCN(c1ccc(C(=O)N2CCC[C@@H]2C)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cccc(NC(=O)N2CCCC2)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1nc2ccc(OC)cc2[nH]1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(OC(F)(F)F)cc1)c1ncncc1F; [None]; [None]; [0]
@@ -60175,38 +39574,52 @@ CCN(c1ccc(N2CCNCC2)cc1OC)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C(=O)NC)cc1OC)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(C(C)(C)O)n(C)n1)c1ncncc1F; [None]; [None]; [0]
 CCNC(=O)c1ccc(N(CC)c2ncncc2F)cc1; [None]; [None]; [0]
+CCN(c1ccc(C(=O)N(C)C)cn1)c1ncncc1F; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(N(CC)c2ncncc2F)cc1; [None]; [None]; [0]
 CCN(Nc1ccc(F)cn1)c1ncncc1F; [None]; [None]; [0]
 CCN(Nc1cc(C)c(F)cn1)c1ncncc1F; [None]; [None]; [0]
 CCN(Nc1ccccn1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(S(C)(=O)=O)ccc1Cl)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(C(=O)NC)ccc1C)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(C(=O)NCCO)ccc1C)c1ncncc1F; [None]; [None]; [0]
-CCN(c1ccc(O)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)c1cccc2ncccc12; [None]; [None]; [0]
+CCN(c1ncncc1F)c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
 CCN(c1ccc(Cl)c(O)c1)c1ncncc1F; [None]; [None]; [0]
-CCN(c1ncncc1F)c1c(Cl)cccc1Cl; [None]; [None]; [0]
 CCN(c1ncncc1F)c1n[nH]c2ccccc12; [None]; [None]; [0]
+CCN(c1ncncc1F)c1c(Cl)cccc1Cl; [None]; [None]; [0]
 CCN(c1ccc(C(N)=O)cc1F)c1ncncc1F; [None]; [None]; [0]
-CCN(c1ccnc(N)n1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(O)cc1Cl)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccc(C(N)=O)cc1OC)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccc(O)cc1F)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccnc(N)n1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1cc(F)ccc1OC)c1ncncc1F; [None]; [None]; [0]
+CCN(c1cc(F)c2nc(C)[nH]c2c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cn[nH]c1Cl)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccc(F)cc1OC)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(-c2ccc(O)cc2O)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C(=O)OC)o1)c1ncncc1F; [None]; [None]; [0]
+CCN(COc1cccc(Cl)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cccc(Br)c1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccc2ccccc2c1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccc(O)c(F)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(O)cc1O)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(C(=O)OC)ccc1Cl)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)c1cnn2ncccc12; [None]; [None]; [0]
+CCN(c1ncncc1F)c1c[nH]c2cnccc12; [None]; [None]; [0]
+CCN(c1ccnc(N)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(COc1ccccc1Cl)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(F)c(Cl)c1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ncncc1F)[C@H](CO)c1ccccc1; [None]; [None]; [0]
+CCN(CCc1ccc(Cl)cc1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ncncc1F)c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
 CCN(c1ncncc1F)c1c(C)ccc2[nH]ncc12; [None]; [None]; [0]
-CCN(c1cc(O)ccc1C)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(O)ccc1Cl)c1ncncc1F; [None]; [None]; [0]
-CCN(c1ncncc1F)c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
 CCN(c1cc(CO)ccc1C)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cnc(O)c(Cl)c1)c1ncncc1F; [None]; [None]; [0]
-CCN(c1ccc2c(C(=O)NC)cccc2c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1c[nH]c(C(N)=O)c1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccc2c(C(=O)NC)cccc2c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc2nc(C)[nH]c2c1)c1ncncc1F; [None]; [None]; [0]
+CCOc1cccc(N(CC)c2ncncc2F)c1; [None]; [None]; [0]
 CCN(c1ccc(NC(N)=O)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cnc2[nH]ccc2c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(S(C)(=O)=O)cc1)c1ncncc1F; [None]; [None]; [0]
@@ -60216,23 +39629,27 @@ CCN(c1ccc2c(c1)CC(=O)N2)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccnc(NC)n1)c1ncncc1F; [None]; [None]; [0]
 CCc1cc(O)ccc1N(CC)c1ncncc1F; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1N(CC)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ncncc1F)c1[nH]nc(C)c1C; [None]; [None]; [0]
 CCN(c1ccc(O)cc1C)c1ncncc1F; [None]; [None]; [0]
+CCN(c1cc(C(F)F)n[nH]1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ccncc1Cl)c1ncncc1F; [None]; [None]; [0]
 CCc1sccc1N(CC)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(Cl)c(O)c(Cl)c1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1ncc(F)c(NC)n1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc2c(c1)CCN2)c1ncncc1F; [None]; [None]; [0]
-CCN(c1cc(C(=O)[O-])c(C)o1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(O)n2nccc2n1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1cc(C(=O)[O-])c(C)o1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc2[nH]c(=O)[nH]c2c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(Br)cc1F)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)c1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
-CCN(c1ncncc1F)c1[nH]nc(C)c1C; [None]; [None]; [0]
 CCN(c1cc(O)cc(Br)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C(=O)NC2CC2)cc1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc(C(N)=O)c(C)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc2nc(C)oc2c1)c1ncncc1F; [None]; [None]; [0]
+CCN(c1cc(C)c(O)c(C)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1cc(F)c(O)c(F)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ccc2c(=O)[nH][nH]c2c1)c1ncncc1F; [None]; [None]; [0]
-CCN(c1ncncc1F)c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
+CCN(c1cccc(SC)c1)c1ncncc1F; [None]; [None]; [0]
 CCN(c1ncncc1F)c1ocnc1-c1ccc(F)cc1; [None]; [None]; [0]
 CCN(c1ncncc1F)c1c(-c2ccccc2)noc1C; [None]; [None]; [0]
 CCN(c1cn[nH]c1-c1ccc(Cl)cc1)c1ncncc1F; [None]; [None]; [0]
@@ -60241,23 +39658,23 @@ CCOc1ccccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 COC(C)(C)CCc1cc2nccnc2cn1; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cc3nccnc3cn2)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc2nccnc2cn1; [None]; [None]; [0]
 Fc1cc(F)cc(Cc2cc3nccnc3cn2)c1; [None]; [None]; [0]
 CP(C)(=O)c1ccccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1ccc2c(-c3cc4nccnc4cn3)ccnc2c1; [None]; [None]; [0]
+CCn1cc(-c2cc3nccnc3cn2)cn1; [None]; [None]; [0]
 FC(F)(F)c1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
-Brc1ccccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
-O=C([O-])c1ccccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 FC(F)(F)Oc1ccccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 NC(=O)c1ccccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1ccc(Cn2cc(-c3cc4nccnc4cn3)cn2)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc4nccnc4cn3)cc2c1=O; [None]; [None]; [0]
 c1ccc(-c2ncc(-c3cc4nccnc4cn3)[nH]2)cc1; [None]; [None]; [0]
-N[C@H](c1cc2nccnc2cn1)c1ccco1; [None]; [None]; [0]
 OCCn1cc(-c2cc3nccnc3cn2)cn1; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2cc3nccnc3cn2)cs1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cc3nccnc3cn2)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1cc2nccnc2cn1; [None]; [None]; [0]
 COc1cnc(-c2cc3nccnc3cn2)nc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 CC(C)C(=O)COc1cc2nccnc2cn1; [None]; [None]; [0]
 Cc1ccc(-c2cc3nccnc3cn2)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1cc2nccnc2cn1; [None]; [None]; [0]
@@ -60268,39 +39685,48 @@ Cc1nc(N)sc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1cnn2c(-c3cc4nccnc4cn3)cnc2c1; [None]; [None]; [0]
 Clc1cccc(Cl)c1-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1cc(Cn2cncn2)cc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
+Brc1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 c1cncc(CNc2cc3nccnc3cn2)c1; [None]; [None]; [0]
 Cc1c(-c2cc3nccnc3cn2)sc(=O)n1C; [None]; [None]; [0]
 Nc1nccc(-c2cc3nccnc3cn2)n1; [None]; [None]; [0]
 c1cnn2ncc(-c3cc4nccnc4cn3)c2c1; [None]; [None]; [0]
-COc1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 c1ccc2cc(-c3cc4nccnc4cn3)ccc2c1; [None]; [None]; [0]
 c1cncc(Nc2cc3nccnc3cn2)c1; [None]; [None]; [0]
 c1ccc2c(c1)ncn2-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1cnc2cc(NCCc3c[nH]cn3)ncc2n1; [None]; [None]; [0]
 O=C(Nc1cc2nccnc2cn1)c1cccs1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc3nccnc3cn2)o1; [None]; [None]; [0]
 O=C([O-])Cc1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1cc2nccnc2cn1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1ccc2c(-c3cc4nccnc4cn3)cncc2c1; [None]; [None]; [0]
 c1ccc(CCNc2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cc4nccnc4cn3)cc2)cn1; [None]; [None]; [0]
 Nc1[nH]nc2cc(-c3cc4nccnc4cn3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cc4nccnc4cn3)cc2CS1(=O)=O; [None]; [None]; [0]
 Cn1ncc2cc(-c3cc4nccnc4cn3)ccc21; [None]; [None]; [0]
+c1cnc2cc(-c3ccc(-c4cn[nH]c4)cc3)ncc2n1; [None]; [None]; [0]
+Clc1ccc(CNc2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 CCCn1cnc(-c2cc3nccnc3cn2)n1; [None]; [None]; [0]
 Oc1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 OCc1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 COc1cc(-c2cc3nccnc3cn2)ccc1C(=O)[O-]; [None]; [None]; [0]
 c1cc(Nc2cc3nccnc3cn2)ccn1; [None]; [None]; [0]
 CC(C)n1cc(-c2cc3nccnc3cn2)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1cc2nccnc2cn1; [None]; [None]; [0]
 CSc1nc(-c2cc3nccnc3cn2)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1cnc2cc(CCc3c[nH]nn3)ncc2n1; [None]; [None]; [0]
 c1cnc2cc(-c3csc4ncncc34)ncc2n1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3cc4nccnc4cn3)cc2c1; [None]; [None]; [0]
 N#CCCc1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
+Nc1nc(-c2cc3nccnc3cn2)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cc4nccnc4cn3)cc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 Fc1ccc(-c2cc3nccnc3cn2)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1cc2nccnc2cn1; [None]; [None]; [0]
+c1ccc(Oc2cc3nccnc3cn2)nc1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cc2nccnc2cn1; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 O=C(Nc1cc2nccnc2cn1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
@@ -60315,18 +39741,20 @@ O=c1cc(-c2cc3nccnc3cn2)cc[nH]1; [None]; [None]; [0]
 O=C1CCc2cccc(-c3cc4nccnc4cn3)c21; [None]; [None]; [0]
 COc1cc(CCc2cc3nccnc3cn2)cc(OC)c1; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 C[C@@H](Oc1cc2nccnc2cn1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 CCN(CC)c1cc2nccnc2cn1; [None]; [None]; [0]
 O=c1[nH]ccc2oc(-c3cc4nccnc4cn3)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cc4nccnc4cn3)cc12; [None]; [None]; [0]
-c1ccc2c(-c3cc4nccnc4cn3)c[nH]c2c1; [None]; [None]; [0]
 COc1ccncc1Nc1cc2nccnc2cn1; [None]; [None]; [0]
 c1ccc(-c2ccncc2Nc2cc3nccnc3cn2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1ccc2ncc(Nc3cc4nccnc4cn3)cc2c1; [None]; [None]; [0]
 c1cc2c(-c3cc4nccnc4cn3)c[nH]c2cn1; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)c1cc2nccnc2cn1; [None]; [None]; [0]
 c1cnc2cc(-c3cnc4[nH]ccc4c3)ncc2n1; [None]; [None]; [0]
 CC1(c2cc3nccnc3cn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cc2nccnc2cn1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
@@ -60340,46 +39768,48 @@ OCc1ccn(-c2cc3nccnc3cn2)n1; [None]; [None]; [0]
 OCCc1cn(-c2cc3nccnc3cn2)cn1; [None]; [None]; [0]
 C[C@H](Nc1cc2nccnc2cn1)C(C)(C)O; [None]; [None]; [0]
 C[C@@H](Nc1cc2nccnc2cn1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1ccc2c(c1)cnn2-c1cc2nccnc2cn1; [None]; [None]; [0]
 Oc1cccc2c1cnn2-c1cc2nccnc2cn1; [None]; [None]; [0]
-Oc1ncccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1cnc2cc(-c3ccc(-n4cncn4)cc3)ncc2n1; [None]; [None]; [0]
 Oc1ccc2nc(-c3cc4nccnc4cn3)[nH]c2c1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cc3nccnc3cn2)[nH]1; [None]; [None]; [0]
 COc1ccc(-c2cc3nccnc3cn2)c(OC)c1; [None]; [None]; [0]
 O=C(c1ccccc1)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cc3nccnc3cn2)CC1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 c1cnc2cc(-c3nncn3C3CC3)ncc2n1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cc3nccnc3cn2)n1; [None]; [None]; [0]
-O=C(CCc1cc2nccnc2cn1)NCc1ccccn1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4cc5nccnc5cn4)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1cc2nccnc2cn1)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1cc2nccnc2cn1)NCc1ccccn1; [None]; [None]; [0]
 c1ccc(Cn2cc(-c3cc4nccnc4cn3)nn2)cc1; [None]; [None]; [0]
 CCc1cc(-c2cc3nccnc3cn2)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2cc3nccnc3cn2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cc3nccnc3cn2)s1; [None]; [None]; [0]
 Nc1nnc(-c2cc3nccnc3cn2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc2nccnc2cn1; [None]; [None]; [0]
-[NH3+]Cc1ccc(Oc2cc3nccnc3cn2)c(F)c1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc3nccnc3cn2)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc3nccnc3cn2)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc2nccnc2cn1; [None]; [None]; [0]
+[NH3+]Cc1ccc(Oc2cc3nccnc3cn2)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc3nccnc3cn2)CC1; [None]; [None]; [0]
 c1ccc2sc(-c3cc4nccnc4cn3)nc2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cc4nccnc4cn3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc4nccnc4cn3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cc3nccnc3cn2)n1; [None]; [None]; [0]
 c1cc(-c2cc3nccnc3cn2)c2sccc2c1; [None]; [None]; [0]
 c1cc(-c2cc3nccnc3cn2)c2snnc2c1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cc3nccnc3cn2)[nH]1; [None]; [None]; [0]
 Nc1nc(-c2cc3nccnc3cn2)nc2ccccc12; [None]; [None]; [0]
 c1ccc2nc(-c3cc4nccnc4cn3)ncc2c1; [None]; [None]; [0]
 c1cnc2c(-c3cc4nccnc4cn3)c[nH]c2c1; [None]; [None]; [0]
+OCCn1cnc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 c1cnc2cc(-c3ncc4cc[nH]c4n3)ncc2n1; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1cc2nccnc2cn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc2nccnc2cn1; [None]; [None]; [0]
 COc1ccc(Oc2cc3nccnc3cn2)c(F)c1F; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2cc3nccnc3cn2)CC1; [None]; [None]; [0]
 COc1ccc(OC)c(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc3nccnc3cn2)n1; [None]; [None]; [0]
+COc1ncccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 CN(C)c1cc(-c2cc3nccnc3cn2)cnn1; [None]; [None]; [0]
 c1ccc2[nH]c(C3CCN(c4cc5nccnc5cn4)CC3)nc2c1; [None]; [None]; [0]
 C1=C(c2c[nH]c3ccccc23)CCN(c2cc3nccnc3cn2)C1; [None]; [None]; [0]
@@ -60387,23 +39817,21 @@ O=C(Nc1cccc(-c2cc3nccnc3cn2)c1)C1CCNCC1; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 CCOc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cc2nccnc2cn1; [None]; [None]; [0]
-COc1ncccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 COc1cc(-c2cc3nccnc3cn2)cc(OC)c1OC; [None]; [None]; [0]
 Cc1ccc2ncn(-c3cc4nccnc4cn3)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 COc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cc3nccnc3cn2)c1)C1CC1; [None]; [None]; [0]
 c1ccc2[nH]c(-c3cc4nccnc4cn3)nc2c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc4nccnc4cn3)cc2)CC1; [None]; [None]; [0]
 Cc1cc(Nc2cc3nccnc3cn2)sn1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1-c1cc2nccnc2cn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc3nccnc3cn2)cn1; [None]; [None]; [0]
 O=C([O-])c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
+c1ccc2c(-c3cc4nccnc4cn3)nccc2c1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 c1cnc(Nc2cc3nccnc3cn2)nc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cc4nccnc4cn3)cn2)c1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
-c1ccc2c(Cc3cc4nccnc4cn3)nccc2c1; [None]; [None]; [0]
 OCCOc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 c1cc(-c2cc3nccnc3cn2)cc(C2CCNCC2)c1; [None]; [None]; [0]
@@ -60416,9 +39844,7 @@ O=S1(=O)Cc2ccc(-c3cc4nccnc4cn3)cc2C1; [None]; [None]; [0]
 FC(F)(F)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
-Oc1ccccc1Cc1cc2nccnc2cn1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2cc3nccnc3cn2)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2cc3nccnc3cn2)cn1; [None]; [None]; [0]
 O=C(c1ccccc1)N1CC[C@H](c2cc3nccnc3cn2)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2cc3nccnc3cn2)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
@@ -60427,34 +39853,37 @@ CCCOc1ccc(-c2cc3nccnc3cn2)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 Brc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc3nccnc3cn2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2cc3nccnc3cn2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
+c1cnc2cc(-c3ccn4nccc4n3)ncc2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc3nccnc3cn2)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1cc2nccnc2cn1; [None]; [None]; [0]
+c1ccc2c(-c3cc4nccnc4cn3)c[nH]c2c1; [None]; [None]; [0]
 COc1cc(OC)c(-c2cc3nccnc3cn2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cc4nccnc4cn3)[nH]c2c1; [None]; [None]; [0]
 c1cnc2cc(-c3ccc4c(c3)CCO4)ncc2n1; [None]; [None]; [0]
-c1ccc2cc(-c3cc4nccnc4cn3)ncc2c1; [None]; [None]; [0]
 c1ccc(-c2cc(-c3cc4nccnc4cn3)n[nH]2)cc1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 COc1cc(-c2cc3nccnc3cn2)ccc1O; [None]; [None]; [0]
 c1cc2c(c(-c3cc4nccnc4cn3)c1)OCO2; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 c1cnc2cc(-c3scc4c3OCCO4)ncc2n1; [None]; [None]; [0]
 c1ccc2ncc(-c3cc4nccnc4cn3)cc2c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2cc3nccnc3cn2)cn1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3cc4nccnc4cn3)nc2c1F; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cc3nccnc3cn2)CC1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3cc4nccnc4cn3)n2)c1; [None]; [None]; [0]
 CC1(COc2cc3nccnc3cn2)COC1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cc3nccnc3cn2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3cc4nccnc4cn3)cc2c1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3cc4nccnc4cn3)cc2)CC1; [None]; [None]; [0]
-CSc1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 Cc1cc(-c2cc3nccnc3cn2)nc(N)n1; [None]; [None]; [0]
 Fc1ccc(-c2cc3nccnc3cn2)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3cc4nccnc4cn3)ccc2N1; [None]; [None]; [0]
 Brc1cnc(-c2cc3nccnc3cn2)nc1; [None]; [None]; [0]
 COc1ccc(-c2cc3nccnc3cn2)cc1OC; [None]; [None]; [0]
 CCc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 COc1ccc(CNc2cc3nccnc3cn2)cc1; [None]; [None]; [0]
-c1cnc2cc(CCCn3cncn3)ncc2n1; [None]; [None]; [0]
 Clc1ccc(-c2cc3nccnc3cn2)c(Cl)c1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2cc3nccnc3cn2)C1; [None]; [None]; [0]
 c1cc2cnc(-c3cc4nccnc4cn3)nn2c1; [None]; [None]; [0]
@@ -60470,15 +39899,16 @@ Clc1cnc(-c2cc3nccnc3cn2)nc1; [None]; [None]; [0]
 Cc1csc2c(-c3cc4nccnc4cn3)ncnc12; [None]; [None]; [0]
 Cc1nc(Nc2cc3nccnc3cn2)sc1C; [None]; [None]; [0]
 Cc1cc(Nc2cc3nccnc3cn2)nn1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 Nc1cc(-c2cc3nccnc3cn2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3nccnc3cn2)nc1; [None]; [None]; [0]
 COc1cc(-c2cc3nccnc3cn2)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cc3nccnc3cn2)c1; [None]; [None]; [0]
 NC(=O)c1ccc(Cc2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 O=S(=O)(CCO)c1ccc(Cc2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 O=C(Nc1cc2nccnc2cn1)c1ccco1; [None]; [None]; [0]
-CCNC(=O)N1CCC(c2cc3nccnc3cn2)CC1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2cc3nccnc3cn2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cc3nccnc3cn2)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 COc1cc(OC)cc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cc3nccnc3cn1)cn2C; [None]; [None]; [0]
@@ -60486,25 +39916,22 @@ COc1ccc2oc(-c3cc4nccnc4cn3)cc2c1; [None]; [None]; [0]
 c1cnc2cc(-c3ccc4cn[nH]c4c3)ncc2n1; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(C(=O)Nc2cc3nccnc3cn2)cc1; [None]; [None]; [0]
-CCn1cc(-c2cc3nccnc3cn2)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 c1cncc(-c2ccnc(-c3cc4nccnc4cn3)c2)c1; [None]; [None]; [0]
 c1ccc2oc(-c3cc4nccnc4cn3)cc2c1; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1cc2nccnc2cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 c1cnc2cc(-c3ncc4sccc4n3)ncc2n1; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1cc2nccnc2cn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cc3nccnc3cn2)c1)N1CCCC1; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 COc1ccc2nc(-c3cc4nccnc4cn3)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cc3nccnc3cn2)c1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cc4nccnc4cn3)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(-c2cc3nccnc3cn2)n1; [None]; [None]; [0]
 c1cnc2cc(-c3ncn4c3CCCC4)ncc2n1; [None]; [None]; [0]
 Cc1cc(-c2cc3nccnc3cn2)cc(C)c1OCCO; [None]; [None]; [0]
-CN(C)c1ccc(-c2cc3nccnc3cn2)cn1; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cc4nccnc4cn3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cc3nccnc3cn2)cn1; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3cc4nccnc4cn3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cc4nccnc4cn3)cn2)CC1; [None]; [None]; [0]
 O=C1CCCN1c1cccc(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
@@ -60512,105 +39939,249 @@ OCCc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 O=C(Nc1cc2nccnc2cn1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cc3nccnc3cn2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cc4nccnc4cn3)cc2)n1C; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1cc2nccnc2cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc3nccnc3cn2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 Cn1nc(-c2cc3nccnc3cn2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc3nccnc3cn2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc3nccnc3cn2)cc1; [None]; [None]; [0]
 Fc1ccc(Nc2cc3nccnc3cn2)nc1; [None]; [None]; [0]
 Cc1cc(Nc2cc3nccnc3cn2)ncc1F; [None]; [None]; [0]
 c1ccc(Nc2cc3nccnc3cn2)nc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cc3nccnc3cn2)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-c1cc2nccnc2cn1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+CCOc1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+Cc1ccnc(COc2ncc3ccccc3n2)c1; [None]; [None]; [0]
 Cc1ccnc(COc2sc(C(C)(C)O)nc2C)c1; [None]; [None]; [0]
-Cc1ccnc(COc2ccc3c(c2)CS(=O)(=O)C3)c1; [None]; [None]; [0]
+COc1ncccc1OCc1cc(C)ccn1; [None]; [None]; [0]
+Cc1ccnc(COc2cccc(S(C)(=O)=O)c2)c1; [None]; [None]; [0]
+COc1cc(OCc2cc(C)ccn2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccnc(COn2cnc3ccc(C)cc32)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cnc3cccnn23)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cc(C#N)ccc2O)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cccc(O)c2)c1; [None]; [None]; [0]
+COc1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cccc(NC(=O)C3CC3)c2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(OCc3cc(C)ccn3)cc2)CC1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(=O)[O-])cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2nccc3ccccc23)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(N)=O)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(CONc2ncccn2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cnn(Cc3cccc(C#N)c3)c2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(=O)Nc3ccccc3)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(OCCO)cc2)c1; [None]; [None]; [0]
+CC(=O)NCc1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+Cc1ccnc(COc2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(=O)N3CCOCC3)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(=O)N3CCOCC3)cn2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(OC[C@H](C)O)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(OC[C@@H](C)O)cc2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc3c(c2)CS(=O)(=O)C3)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(F)(F)F)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(N(C)C)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(S(=O)(=O)N(C)C)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COCc2ccccc2O)c1; [None]; [None]; [0]
+Cc1ccnc(COc2sc(C)nc2C)c1; [None]; [None]; [0]
+Cc1ccnc(COC2CCN(S(C)(=O)=O)CC2)c1; [None]; [None]; [0]
+Cc1ccnc(COCc2cnc(N)nc2)c1; [None]; [None]; [0]
+Cc1ccnc(CO[C@H]2CCN(C(=O)c3ccccc3)C2)c1; [None]; [None]; [0]
 Cc1ccnc(COc2cc(C(C)C)nc(N)n2)c1; [None]; [None]; [0]
-CCCOc1ccc(OCc2cc(C)ccn2)nc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(OCc3cc(C)ccn3)c2)CC1; [None]; [None]; [0]
+CCCOc1ccc(OCc2cc(C)ccn2)nc1; [None]; [None]; [0]
+Cc1ccnc(COc2cccc(C(=O)[O-])c2C)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(Br)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(N(C)C)c(Cl)c2)c1; [None]; [None]; [0]
+COc1ccc(COCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+Cc1ccnc(COc2ccn3nccc3n2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(OCc2cc(C)ccn2)c(C)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccccc2-n2cccn2)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1OCc1cc(C)ccn1; [None]; [None]; [0]
+Cc1ccnc(COc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+COc1cc(OC)c(OCc2cc(C)ccn2)cc1Cl; [None]; [None]; [0]
 Cc1ccnc(COc2nc3ccc(C(C)C)cc3[nH]2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc3c(c2)CCO3)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(OCc2cc(C)ccn2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1OCc1cc(C)ccn1; [None]; [None]; [0]
+COc1cc(OCc2cc(C)ccn2)ccc1O; [None]; [None]; [0]
+Cc1ccnc(COc2cccc3c2OCO3)c1; [None]; [None]; [0]
+Cc1ccnc(COc2scc3c2OCCO3)c1; [None]; [None]; [0]
+Cc1ccnc(COCc2nc3ccc(F)c(F)c3[nH]2)c1; [None]; [None]; [0]
+Cc1ccnc(COCc2nc3c(F)c(F)ccc3[nH]2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(C)(C)C)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cnc3ccccc3c2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(=O)N(C)C)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(C)(C)C)nc2)c1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](OCc2cc(C)ccn2)CC1; [None]; [None]; [0]
+Cc1ccnc(COCc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2csc(N)n2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C)[nH]c2=O)c1; [None]; [None]; [0]
+Cc1ccnc(COCCCc2ccccc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccn(-c3cccc(Cl)c3)n2)c1; [None]; [None]; [0]
+COc1cccc(C(=O)NOCc2cc(C)ccn2)c1; [None]; [None]; [0]
+CSc1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+Cc1ccnc(COc2cc3ccccc3s2)c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(OCc3cc(C)ccn3)cc2)CC1; [None]; [None]; [0]
+Cc1ccnc(COc2cc(C)nc(N)n2)c1; [None]; [None]; [0]
+CC[C@@H](CO)OCc1cc(C)ccn1; [None]; [None]; [0]
+Cc1ccnc(CO[C@H](CO)Cc2ccccc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(F)cc2Cl)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc3c(c2)CCC(=O)N3)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ncc(Br)cn2)c1; [None]; [None]; [0]
+COc1ccc(OCc2cc(C)ccn2)cc1OC; [None]; [None]; [0]
+CCc1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(=O)N3CCC[C@@H]3C)cc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(Cl)cc2Cl)c1; [None]; [None]; [0]
+Cc1ccnc(COCCCn2cncn2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ncc3cccn3n2)c1; [None]; [None]; [0]
+COc1cc(OCc2cc(C)ccn2)ccc1N1CCOCC1; [None]; [None]; [0]
+Cc1ccnc(COc2cc3ccccn3n2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cn(C)nc2C(F)(F)F)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc3c(c2)CC(C)(C)O3)c1; [None]; [None]; [0]
+COc1ccc2cccc(OCc3cc(C)ccn3)c2c1; [None]; [None]; [0]
+Cc1ccnc(COc2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
+COc1cc(F)c(OCc2cc(C)ccn2)cc1OC; [None]; [None]; [0]
+COc1cc(OCc2cc(C)ccn2)ccc1Cl; [None]; [None]; [0]
+Cc1ccnc(COc2cnn(CCO)c2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ncc(Cl)cn2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ncnc3c(C)csc23)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
 Cc1ccnc(COc2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(OCc2cc(C)ccn2)nc1; [None]; [None]; [0]
+COc1cc(OCc2cc(C)ccn2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(COCc2cc(C)ccn2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1OCc1cc(C)ccn1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](OCc2cc(C)ccn2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(OCc2cc(C)ccn2)CC1; [None]; [None]; [0]
 Cc1ccnc(COc2cccc(C(=O)Nc3cn[nH]c3)c2)c1; [None]; [None]; [0]
+COc1cc(OC)cc(OCc2cc(C)ccn2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(OCc1cc(C)ccn1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(OCc3cc(C)ccn3)cc2c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc3cn[nH]c3c2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C[NH+](C)C)cc2)c1; [None]; [None]; [0]
+CCn1cc(OCc2cc(C)ccn2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(OCc2cc(C)ccn2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cc3ccccc3o2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cc(Br)cn2C)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ncc3sccc3n2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cn(C)nc2C(C)C)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cccc(NC(=O)N3CCCC3)c2)c1; [None]; [None]; [0]
+COc1ccc2nc(OCc3cc(C)ccn3)[nH]c2c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(OC(F)(F)F)cc2)c1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NOCc2cc(C)ccn2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cn(C)c3ccccc23)c1; [None]; [None]; [0]
 Cc1ccnc(COc2cc3ccc(C(C)(C)O)cc3[nH]2)c1; [None]; [None]; [0]
+CCc1cccc(OCc2cc(C)ccn2)n1; [None]; [None]; [0]
 Cc1ccnc(COc2ncn3c2CCCC3)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cc(C)c(OCCO)c(C)c2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc3c(cnn3C)c2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc3c(c2)c(Cl)nn3C)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(N(C)C)nc2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc3c(C)n[nH]c3c2)c1; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(OCc3cc(C)ccn3)cn2)CC1; [None]; [None]; [0]
+Cc1ccnc(COc2cccc(N3CCCC3=O)c2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(CCO)cc2)c1; [None]; [None]; [0]
 Cc1ccnc(CONC(=O)c2cccc(OC(F)(F)F)c2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(=O)N(C)C)cc2Cl)c1; [None]; [None]; [0]
 Cc1ccnc(COc2ccc(-c3cnc(C)n3C)cc2)c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1OCc1cc(C)ccn1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(N3CCOCC3)cc2C)c1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1OCc1cc(C)ccn1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1OCc1cc(C)ccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OCc2cc(C)ccn2)c(OC)c1; [None]; [None]; [0]
 Cc1ccnc(COc2cc(C(C)(C)O)n(C)n2)c1; [None]; [None]; [0]
+CCNC(=O)c1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+Cc1ccnc(COc2ccc(C(=O)N(C)C)cn2)c1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(OCc2cc(C)ccn2)cc1; [None]; [None]; [0]
+Cc1ccnc(COc2cc(S(C)(=O)=O)ccc2Cl)c1; [None]; [None]; [0]
+Cc1ccnc(CO[C@H](C)CS(C)(=O)=O)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(OCc2cc(C)ccn2)c1; [None]; [None]; [0]
+Cc1ccnc(COc2cc(C(=O)NCCO)ccc2C)c1; [None]; [None]; [0]
 CNC(=O)c1ccccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 CCOc1ccccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 COC(C)(C)CCc1cnc(N)c2occc12; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cnc(N)c3occc23)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(Cc2cc(F)cc(F)c2)c2ccoc12; [None]; [None]; [0]
 CP(C)(=O)c1ccccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(-c2ccnc3ccccc23)c2ccoc12; [None]; [None]; [0]
+CCn1cc(-c2cnc(N)c3occc23)cn1; [None]; [None]; [0]
 Nc1ncc(-c2cccc(C(F)(F)F)c2)c2ccoc12; [None]; [None]; [0]
-Nc1ncc(-c2ccccc2Br)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2ccccc2OC(F)(F)F)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2ccccc2C(=O)[O-])c2ccoc12; [None]; [None]; [0]
 NC(=O)c1ccccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(-c2cnn(Cc3ccccc3)c2)c2ccoc12; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cnc(N)c4occc34)cc2c1=O; [None]; [None]; [0]
 Nc1ncc(-c2cnc(-c3ccccc3)[nH]2)c2ccoc12; [None]; [None]; [0]
-Nc1ncc([C@@H](N)c2ccco2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2cnn(CCO)c2)c2ccoc12; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2cnc(N)c3occc23)cs1; [None]; [None]; [0]
 Nc1ncc(-c2cccc(NC(=O)c3ccccc3)c2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-n2ncc3cccc(F)c3c2=O)c2ccoc12; [None]; [None]; [0]
 COc1cnc(-c2cnc(N)c3occc23)nc1; [None]; [None]; [0]
+Nc1ncc(-c2cc(Cl)ccc2Cl)c2ccoc12; [None]; [None]; [0]
 CC(C)C(=O)COc1cnc(N)c2occc12; [None]; [None]; [0]
 Cc1ccc(-c2cnc(N)c3occc23)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1-c1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(-c2cnc3ccccn23)c2ccoc12; [None]; [None]; [0]
 Cc1nc(C)c(-c2cnc(N)c3occc23)s1; [None]; [None]; [0]
-Cc1nc(N)sc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 CNc1nc(C)c(-c2cnc(N)c3occc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(-c2cnc3cccnn23)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2c(Cl)cccc2Cl)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2cccc(Cn3cncn3)c2)c2ccoc12; [None]; [None]; [0]
+Nc1ncc(-c2cccc(Br)c2)c2ccoc12; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
 Nc1ncc(NCc2cccnc2)c2ccoc12; [None]; [None]; [0]
 Cc1c(-c2cnc(N)c3occc23)sc(=O)n1C; [None]; [None]; [0]
 Nc1nccc(-c2cnc(N)c3occc23)n1; [None]; [None]; [0]
 Nc1ncc(-c2cnn3ncccc23)c2ccoc12; [None]; [None]; [0]
-COc1cccc(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
 Nc1ncc(-c2ccc3ccccc3c2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(Nc2cccnc2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-n2cnc3ccccc32)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(NCCc2c[nH]cn2)c2ccoc12; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cnc(N)c3occc23)o1; [None]; [None]; [0]
-Nc1ncc(-c2cccc(CC(=O)[O-])c2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(NC(=O)c2cccs2)c2ccoc12; [None]; [None]; [0]
+Nc1ncc(-c2cccc(CC(=O)[O-])c2)c2ccoc12; [None]; [None]; [0]
+Nc1ncc(-c2c[nH]nc2C(F)(F)F)c2ccoc12; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(-c2cncc3ccccc23)c2ccoc12; [None]; [None]; [0]
-Cn1cc(-c2ccc(-c3cnc(N)c4occc34)cc2)cn1; [None]; [None]; [0]
 Nc1ncc(NCCc2ccccc2)c2ccoc12; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cnc(N)c4occc34)cc2)cn1; [None]; [None]; [0]
 Nc1[nH]nc2cc(-c3cnc(N)c4occc34)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cnc(N)c4occc34)cc2CS1(=O)=O; [None]; [None]; [0]
 Cn1ncc2cc(-c3cnc(N)c4occc34)ccc21; [None]; [None]; [0]
+Nc1ncc(-c2ccc(-c3cn[nH]c3)cc2)c2ccoc12; [None]; [None]; [0]
+Nc1ncc(NCc2ccc(Cl)cc2)c2ccoc12; [None]; [None]; [0]
 CCCn1cnc(-c2cnc(N)c3occc23)n1; [None]; [None]; [0]
 Nc1ncc(-c2cccc(O)c2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2cccc(CO)c2)c2ccoc12; [None]; [None]; [0]
 COc1cc(-c2cnc(N)c3occc23)ccc1C(=O)[O-]; [None]; [None]; [0]
 Nc1ncc(Nc2ccncc2)c2ccoc12; [None]; [None]; [0]
 CC(C)n1cc(-c2cnc(N)c3occc23)nn1; [None]; [None]; [0]
+Nc1ncc(NCc2ccccc2F)c2ccoc12; [None]; [None]; [0]
 CSc1nc(-c2cnc(N)c3occc23)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(CCc2c[nH]nn2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2csc3ncncc23)c2ccoc12; [None]; [None]; [0]
+Nc1ncc(-c2cc3ccccc3[nH]2)c2ccoc12; [None]; [None]; [0]
 N#CCCc1cccc(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
+Nc1nc(-c2cnc(N)c3occc23)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cnc(N)c4occc34)cc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(F)cc2C(F)(F)F)c2ccoc12; [None]; [None]; [0]
+NC(=O)CCCc1cnc(N)c2occc12; [None]; [None]; [0]
+Nc1ncc(Oc2ccccn2)c2ccoc12; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cnc(N)c2occc12; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
 Nc1ncc(NC(=O)c2c(Cl)cccc2Cl)c2ccoc12; [None]; [None]; [0]
@@ -60625,18 +40196,20 @@ Nc1ncc(-c2cc[nH]c(=O)c2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2cccc3c2C(=O)CC3)c2ccoc12; [None]; [None]; [0]
 COc1cc(CCc2cnc(N)c3occc23)cc(OC)c1; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 C[C@@H](Oc1cnc(N)c2occc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 CCN(CC)c1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(-c2cc3c(=O)[nH]ccc3o2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2cc3c(=O)[nH]cc(Br)c3s2)c2ccoc12; [None]; [None]; [0]
-Nc1ncc(-c2c[nH]c3ccccc23)c2ccoc12; [None]; [None]; [0]
 COc1ccncc1Nc1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(Nc2cnccc2-c2ccccc2)c2ccoc12; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(Nc2cnc3ccccc3c2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2c[nH]c3cnccc23)c2ccoc12; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
-Nc1ncc([C@H](CO)Cc2ccccc2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2cnc3[nH]ccc3c2)c2ccoc12; [None]; [None]; [0]
 CC1(c2cnc(N)c3occc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cnc(N)c2occc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
@@ -60647,18 +40220,18 @@ CS(=O)(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Cc1cc(-c2cnc(N)c3occc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cnc(N)c2occc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 Nc1ncc(-n2ccc(CO)n2)c2ccoc12; [None]; [None]; [0]
-C[C@H](Nc1cnc(N)c2occc12)C(C)(C)O; [None]; [None]; [0]
 Nc1ncc(-n2cnc(CCO)c2)c2ccoc12; [None]; [None]; [0]
+C[C@H](Nc1cnc(N)c2occc12)C(C)(C)O; [None]; [None]; [0]
 C[C@@H](Nc1cnc(N)c2occc12)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
+Nc1ncc(-c2c(F)cccc2Cl)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-n2ncc3ccccc32)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-n2ncc3c(O)cccc32)c2ccoc12; [None]; [None]; [0]
-Nc1ncc(-c2cccnc2O)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2ccc(-n3cncn3)cc2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2nc3ccc(O)cc3[nH]2)c2ccoc12; [None]; [None]; [0]
-COc1ccc(-c2cnc(N)c3occc23)c(OC)c1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cnc(N)c3occc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cnc(N)c3occc23)c(OC)c1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(C(=O)c3ccccc3)cc2)c2ccoc12; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c3occc23)CC1; [None]; [None]; [0]
 CC(C)n1cnnc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 Nc1ncc(-c2nncn2C2CC2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2ccn(CC[NH3+])n2)c2ccoc12; [None]; [None]; [0]
@@ -60668,28 +40241,30 @@ Nc1ncc(CS(=O)(=O)NCc2ccccn2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2cn(Cc3ccccc3)nn2)c2ccoc12; [None]; [None]; [0]
 CCc1cc(-c2cnc(N)c3occc23)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2cnc(N)c3occc23)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(-c2cnc(N)c3occc23)s1; [None]; [None]; [0]
 Nc1nnc(-c2cnc(N)c3occc23)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cnc(N)c2occc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cnc(N)c3occc23)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cnc(N)c3occc23)s1; [None]; [None]; [0]
 Nc1ncc(Oc2ccc(C[NH3+])cc2F)c2ccoc12; [None]; [None]; [0]
-COc1cccc(F)c1-c1cnc(N)c2occc12; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cnc(N)c3occc23)CC1; [None]; [None]; [0]
 Nc1ncc(-c2nc3ccccc3s2)c2ccoc12; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cnc(N)c4occc34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cnc(N)c4occc34)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cnc(N)c3occc23)n1; [None]; [None]; [0]
 Nc1ncc(-c2cccc3ccsc23)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2cccc3nnsc23)c2ccoc12; [None]; [None]; [0]
-Nc1nc(-c2cnc(N)c3occc23)nc2ccccc12; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cnc(N)c3occc23)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cnc(N)c3occc23)nc2ccccc12; [None]; [None]; [0]
 Nc1ncc(-c2ncc3ccccc3n2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2c[nH]c3cccnc23)c2ccoc12; [None]; [None]; [0]
+Nc1ncc(-c2cn(CCO)cn2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2ncc3cc[nH]c3n2)c2ccoc12; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1cnc(N)c2occc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cnc(N)c2occc12; [None]; [None]; [0]
 COc1ccc(Oc2cnc(N)c3occc23)c(F)c1F; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2cnc(N)c3occc23)CC1; [None]; [None]; [0]
 COc1ccc(OC)c(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cnc(N)c3occc23)n1; [None]; [None]; [0]
+COc1ncccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
 CN(C)c1cc(-c2cnc(N)c3occc23)cnn1; [None]; [None]; [0]
 Nc1ncc(N2CCC(c3nc4ccccc4[nH]3)CC2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(N2CC=C(c3c[nH]c4ccccc34)CC2)c2ccoc12; [None]; [None]; [0]
@@ -60697,23 +40272,21 @@ Nc1ncc(-c2cccc(NC(=O)C3CCNCC3)c2)c2ccoc12; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 CCOc1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cnc(N)c2occc12; [None]; [None]; [0]
-COc1ncccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
 COc1cc(-c2cnc(N)c3occc23)cc(OC)c1OC; [None]; [None]; [0]
 Cc1ccc2ncn(-c3cnc(N)c4occc34)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
 COc1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1ncc(-c2cccc(NC(=O)C3CC3)c2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2nc3ccccc3[nH]2)c2ccoc12; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cnc(N)c4occc34)cc2)CC1; [None]; [None]; [0]
 Cc1cc(Nc2cnc(N)c3occc23)sn1; [None]; [None]; [0]
-Nc1ncc(-n2ncc3ccccc3c2=O)c2ccoc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cnc(N)c3occc23)cn1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(C(=O)[O-])cc2)c2ccoc12; [None]; [None]; [0]
+Nc1ncc(-c2nccc3ccccc23)c2ccoc12; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1ncc(Nc2ncccn2)c2ccoc12; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cnc(N)c4occc34)cn2)c1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(C(=O)Nc3ccccc3)cc2)c2ccoc12; [None]; [None]; [0]
-Nc1ncc(Cc2nccc3ccccc23)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2ccc(OCCO)cc2)c2ccoc12; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1ncc(-c2cccc(C3CCNCC3)c2)c2ccoc12; [None]; [None]; [0]
@@ -60726,46 +40299,47 @@ Nc1ncc(-c2ccc3c(c2)CS(=O)(=O)C3)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2ccc(C(F)(F)F)cc2)c2ccoc12; [None]; [None]; [0]
 CN(C)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
-Nc1ncc(Cc2ccccc2O)c2ccoc12; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2cnc(N)c3occc23)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2cnc(N)c3occc23)cn1; [None]; [None]; [0]
 Nc1ncc([C@H]2CCN(C(=O)c3ccccc3)C2)c2ccoc12; [None]; [None]; [0]
 CC(C)c1cc(-c2cnc(N)c3occc23)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cnc(N)c4occc34)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cnc(N)c3occc23)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
-CN(C)c1ccc(-c2cnc(N)c3occc23)cc1Cl; [None]; [None]; [0]
 Nc1ncc(-c2ccc(Br)cc2)c2ccoc12; [None]; [None]; [0]
-COc1ccc(Cc2cnc(N)c3occc23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cnc(N)c3occc23)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
+Nc1ncc(-c2ccn3nccc3n2)c2ccoc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(N)c3occc23)c(C)c1; [None]; [None]; [0]
+Nc1ncc(-c2ccccc2-n2cccn2)c2ccoc12; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1cnc(N)c2occc12; [None]; [None]; [0]
+Nc1ncc(-c2c[nH]c3ccccc23)c2ccoc12; [None]; [None]; [0]
 COc1cc(OC)c(-c2cnc(N)c3occc23)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cnc(N)c4occc34)[nH]c2c1; [None]; [None]; [0]
 Nc1ncc(-c2ccc3c(c2)CCO3)c2ccoc12; [None]; [None]; [0]
-Nc1ncc(-c2cc3ccccc3cn2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2cc(-c3ccccc3)[nH]n2)c2ccoc12; [None]; [None]; [0]
-COc1cc(-c2cnc(N)c3occc23)ccc1O; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
+COc1cc(-c2cnc(N)c3occc23)ccc1O; [None]; [None]; [0]
 Nc1ncc(-c2cccc3c2OCO3)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2scc3c2OCCO3)c2ccoc12; [None]; [None]; [0]
-CC(C)(C)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1ncc(-c2cnc3ccccc3c2)c2ccoc12; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2cnc(N)c3occc23)cn1; [None]; [None]; [0]
-Nc1ncc(Cc2nc3c(F)c(F)ccc3[nH]2)c2ccoc12; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](c2cnc(N)c3occc23)CC1; [None]; [None]; [0]
+Nc1ncc(-c2ccn(-c3cccc(Cl)c3)n2)c2ccoc12; [None]; [None]; [0]
 CC1(COc2cnc(N)c3occc23)COC1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cnc(N)c3occc23)c1; [None]; [None]; [0]
+CSc1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
+Nc1ncc(-c2cc3ccccc3s2)c2ccoc12; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3cnc(N)c4occc34)cc2)CC1; [None]; [None]; [0]
 Cc1cc(-c2cnc(N)c3occc23)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(F)cc2Cl)c2ccoc12; [None]; [None]; [0]
+Nc1ncc(-c2ccc3c(c2)CCC(=O)N3)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2ncc(Br)cn2)c2ccoc12; [None]; [None]; [0]
 COc1ccc(-c2cnc(N)c3occc23)cc1OC; [None]; [None]; [0]
 CCc1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 COc1ccc(CNc2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(Cl)cc2Cl)c2ccoc12; [None]; [None]; [0]
-Nc1ncc(CCCn2cncn2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(NC2CN(C(=O)C3CC3)C2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2ncc3cccn3n2)c2ccoc12; [None]; [None]; [0]
 COc1cc(-c2cnc(N)c3occc23)ccc1N1CCOCC1; [None]; [None]; [0]
@@ -60780,9 +40354,10 @@ Nc1ncc(-c2ncc(Cl)cn2)c2ccoc12; [None]; [None]; [0]
 Cc1csc2c(-c3cnc(N)c4occc34)ncnc12; [None]; [None]; [0]
 Cc1nc(Nc2cnc(N)c3occc23)sc1C; [None]; [None]; [0]
 Cc1cc(Nc2cnc(N)c3occc23)nn1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1cc(-c2cnc(N)c3occc23)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cnc(N)c3occc23)nc1; [None]; [None]; [0]
 COc1cc(-c2cnc(N)c3occc23)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2cnc(N)c3occc23)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 NC(=O)c1ccc(Cc2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1ncc(Cc2ccc(S(=O)(=O)CCO)cc2)c2ccoc12; [None]; [None]; [0]
@@ -60796,15 +40371,12 @@ COc1ccc2oc(-c3cnc(N)c4occc34)cc2c1; [None]; [None]; [0]
 Nc1ncc(-c2ccc3cn[nH]c3c2)c2ccoc12; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(C(=O)Nc2cnc(N)c3occc23)cc1; [None]; [None]; [0]
-CCn1cc(-c2cnc(N)c3occc23)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cnc(N)c3occc23)c1; [None]; [None]; [0]
 Nc1ncc(-c2cc(-c3cccnc3)ccn2)c2ccoc12; [None]; [None]; [0]
 Nc1ncc(-c2cc3ccccc3o2)c2ccoc12; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1cnc(N)c2occc12; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1ncc(-c2ncc3sccc3n2)c2ccoc12; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1cnc(N)c2occc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1ncc(-c2cccc(NC(=O)N3CCCC3)c2)c2ccoc12; [None]; [None]; [0]
 COc1ccc2nc(-c3cnc(N)c4occc34)[nH]c2c1; [None]; [None]; [0]
 Nc1ncc(-c2ccc(OC(F)(F)F)cc2)c2ccoc12; [None]; [None]; [0]
@@ -60829,6 +40401,8 @@ COc1cc(N2CCNCC2)ccc1-c1cnc(N)c2occc12; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cnc(N)c3occc23)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cnc(N)c3occc23)cc1C(C)(C)O; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cnc(N)c3occc23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cnc(N)c3occc23)cc1; [None]; [None]; [0]
 Nc1ncc(Nc2ccc(F)cn2)c2ccoc12; [None]; [None]; [0]
 Cc1cc(Nc2cnc(N)c3occc23)ncc1F; [None]; [None]; [0]
 Nc1ncc(Nc2ccccn2)c2ccoc12; [None]; [None]; [0]
@@ -60840,25 +40414,25 @@ CCOc1ccccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 COC(C)(C)CCNc1ncc(C2CC2)cn1; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2Nc2ncc(C3CC3)cn2)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 Fc1cc(F)cc(CNc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 CP(C)(=O)c1ccccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1ccc2c(Nc3ncc(C4CC4)cn3)ccnc2c1; [None]; [None]; [0]
+CCn1cc(Nc2ncc(C3CC3)cn2)cn1; [None]; [None]; [0]
 FC(F)(F)c1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
-Brc1ccccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 FC(F)(F)Oc1ccccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 O=C([O-])c1ccccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 NC(=O)c1ccccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1ccc(Cn2cc(Nc3ncc(C4CC4)cn3)cn2)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(Nc3ncc(C4CC4)cn3)cc2c1=O; [None]; [None]; [0]
 c1ccc(-c2ncc(Nc3ncc(C4CC4)cn3)[nH]2)cc1; [None]; [None]; [0]
-N[C@H](Nc1ncc(C2CC2)cn1)c1ccco1; [None]; [None]; [0]
 OCCn1cc(Nc2ncc(C3CC3)cn2)cn1; [None]; [None]; [0]
 CC(C)(C)c1nc(Nc2ncc(C3CC3)cn2)cs1; [None]; [None]; [0]
 O=C(Nc1cccc(Nc2ncc(C3CC3)cn2)c1)c1ccccc1; [None]; [None]; [0]
-COc1cnc(Nc2ncc(C3CC3)cn2)nc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
-Cc1ccc(Nc2ncc(C3CC3)cn2)c(Br)c1; [None]; [None]; [0]
+COc1cnc(Nc2ncc(C3CC3)cn2)nc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 CC(C)C(=O)CONc1ncc(C2CC2)cn1; [None]; [None]; [0]
+Cc1ccc(Nc2ncc(C3CC3)cn2)c(Br)c1; [None]; [None]; [0]
 Cc1nc2ccccn2c1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1ccn2c(Nc3ncc(C4CC4)cn3)cnc2c1; [None]; [None]; [0]
 Cc1nc(C)c(Nc2ncc(C3CC3)cn2)s1; [None]; [None]; [0]
@@ -60867,39 +40441,48 @@ Cc1nc(N)sc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1cnn2c(Nc3ncc(C4CC4)cn3)cnc2c1; [None]; [None]; [0]
 Clc1cccc(Cl)c1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1cc(Cn2cncn2)cc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
+Brc1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 Cc1ccc(Cl)c(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 c1cncc(CNNc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 Cc1c(Nc2ncc(C3CC3)cn2)sc(=O)n1C; [None]; [None]; [0]
 Nc1nccc(Nc2ncc(C3CC3)cn2)n1; [None]; [None]; [0]
 c1cnn2ncc(Nc3ncc(C4CC4)cn3)c2c1; [None]; [None]; [0]
-COc1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 c1ccc2cc(Nc3ncc(C4CC4)cn3)ccc2c1; [None]; [None]; [0]
 c1cncc(NNc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 c1ccc2c(c1)ncn2Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1nc(CCNNc2ncc(C3CC3)cn2)c[nH]1; [None]; [None]; [0]
-CC(C)(C)c1cnc(CNc2ncc(C3CC3)cn2)o1; [None]; [None]; [0]
 O=C(NNc1ncc(C2CC2)cn1)c1cccs1; [None]; [None]; [0]
 O=C([O-])Cc1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
-c1ccc(CCNNc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1ccc2c(Nc3ncc(C4CC4)cn3)cncc2c1; [None]; [None]; [0]
+c1ccc(CCNNc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 Cn1cc(-c2ccc(Nc3ncc(C4CC4)cn3)cc2)cn1; [None]; [None]; [0]
 Nc1[nH]nc2cc(Nc3ncc(C4CC4)cn3)ccc12; [None]; [None]; [0]
-Cn1ncc2cc(Nc3ncc(C4CC4)cn3)ccc21; [None]; [None]; [0]
 CN1c2ccc(Nc3ncc(C4CC4)cn3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(Nc3ncc(C4CC4)cn3)ccc21; [None]; [None]; [0]
+c1cc(-c2cn[nH]c2)ccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+Clc1ccc(CNNc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 CCCn1cnc(Nc2ncc(C3CC3)cn2)n1; [None]; [None]; [0]
-OCc1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 Oc1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
+OCc1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 COc1cc(Nc2ncc(C3CC3)cn2)ccc1C(=O)[O-]; [None]; [None]; [0]
 c1cc(NNc2ncc(C3CC3)cn2)ccn1; [None]; [None]; [0]
 CC(C)n1cc(Nc2ncc(C3CC3)cn2)nn1; [None]; [None]; [0]
+Fc1ccccc1CNNc1ncc(C2CC2)cn1; [None]; [None]; [0]
 CSc1nc(Nc2ncc(C3CC3)cn2)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1nc(NCCc2c[nH]nn2)ncc1C1CC1; [None]; [None]; [0]
 c1ncc2c(Nc3ncc(C4CC4)cn3)csc2n1; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3ncc(C4CC4)cn3)cc2c1; [None]; [None]; [0]
 N#CCCc1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
+Nc1nc(Nc2ncc(C3CC3)cn2)cs1; [None]; [None]; [0]
+Nc1ncncc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 CCNc1nc2ccc(Nc3ncc(C4CC4)cn3)cc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 Fc1ccc(Nc2ncc(C3CC3)cn2)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCNc1ncc(C2CC2)cn1; [None]; [None]; [0]
+c1ccc(ONc2ncc(C3CC3)cn2)nc1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCNc1ncc(C2CC2)cn1; [None]; [None]; [0]
 CC(=O)Nc1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 O=C(NNc1ncc(C2CC2)cn1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
@@ -60912,20 +40495,22 @@ c1ccn2ncc(Nc3ncc(C4CC4)cn3)c2c1; [None]; [None]; [0]
 CCCn1cc(Nc2ncc(C3CC3)cn2)cn1; [None]; [None]; [0]
 O=c1cc(Nc2ncc(C3CC3)cn2)cc[nH]1; [None]; [None]; [0]
 O=C1CCc2cccc(Nc3ncc(C4CC4)cn3)c21; [None]; [None]; [0]
-CC(C)(N)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 COc1cc(CCNc2ncc(C3CC3)cn2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 C[C@@H](ONc1ncc(C2CC2)cn1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
 C[S@](=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 CCN(CC)Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 O=c1[nH]ccc2oc(Nc3ncc(C4CC4)cn3)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(Nc3ncc(C4CC4)cn3)cc12; [None]; [None]; [0]
-c1ccc2c(Nc3ncc(C4CC4)cn3)c[nH]c2c1; [None]; [None]; [0]
 COc1ccncc1NNc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1ccc(-c2ccncc2NNc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1ccc2ncc(NNc3ncc(C4CC4)cn3)cc2c1; [None]; [None]; [0]
 c1cc2c(Nc3ncc(C4CC4)cn3)c[nH]c2cn1; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
-OC[C@H](Cc1ccccc1)Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1cc2cc(Nc3ncc(C4CC4)cn3)cnc2[nH]1; [None]; [None]; [0]
 CC1(Nc2ncc(C3CC3)cn2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(Nc1ncc(C2CC2)cn1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
@@ -60939,15 +40524,15 @@ OCc1ccn(Nc2ncc(C3CC3)cn2)n1; [None]; [None]; [0]
 OCCc1cn(Nc2ncc(C3CC3)cn2)cn1; [None]; [None]; [0]
 C[C@H](NNc1ncc(C2CC2)cn1)C(C)(C)O; [None]; [None]; [0]
 C[C@@H](NNc1ncc(C2CC2)cn1)C(C)(C)O; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+Fc1cccc(Cl)c1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1ccc2c(c1)cnn2Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 Oc1cccc2c1cnn2Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
-Oc1ncccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1ncn(-c2ccc(Nc3ncc(C4CC4)cn3)cc2)n1; [None]; [None]; [0]
 Oc1ccc2nc(Nc3ncc(C4CC4)cn3)[nH]c2c1; [None]; [None]; [0]
 CSc1nc(C)c(Nc2ncc(C3CC3)cn2)[nH]1; [None]; [None]; [0]
 COc1ccc(Nc2ncc(C3CC3)cn2)c(OC)c1; [None]; [None]; [0]
 O=C(c1ccccc1)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2ncc(C3CC3)cn2)CC1; [None]; [None]; [0]
 CC(C)n1cnnc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1nc(Nc2nncn2C2CC2)ncc1C1CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(Nc2ncc(C3CC3)cn2)n1; [None]; [None]; [0]
@@ -60957,48 +40542,51 @@ O=S(=O)(CNc1ncc(C2CC2)cn1)NCc1ccccn1; [None]; [None]; [0]
 c1ccc(Cn2cc(Nc3ncc(C4CC4)cn3)nn2)cc1; [None]; [None]; [0]
 CCc1cc(Nc2ncc(C3CC3)cn2)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(Nc2ncc(C3CC3)cn2)nc(N)n1; [None]; [None]; [0]
-Nc1ncc(Nc2ncc(C3CC3)cn2)s1; [None]; [None]; [0]
 Nc1nnc(Nc2ncc(C3CC3)cn2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+CC(C)(O)c1cccc(Nc2ncc(C3CC3)cn2)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(Nc2ncc(C3CC3)cn2)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(ONc2ncc(C3CC3)cn2)c(F)c1; [None]; [None]; [0]
-COc1cccc(F)c1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(Nc2ncc(C3CC3)cn2)CC1; [None]; [None]; [0]
 c1ccc2sc(Nc3ncc(C4CC4)cn3)nc2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(Nc3ncc(C4CC4)cn3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(Nc3ncc(C4CC4)cn3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(Nc2ncc(C3CC3)cn2)n1; [None]; [None]; [0]
 c1cc(Nc2ncc(C3CC3)cn2)c2sccc2c1; [None]; [None]; [0]
 c1cc(Nc2ncc(C3CC3)cn2)c2snnc2c1; [None]; [None]; [0]
 CC(=O)Nc1ncc(Nc2ncc(C3CC3)cn2)[nH]1; [None]; [None]; [0]
 Nc1nc(Nc2ncc(C3CC3)cn2)nc2ccccc12; [None]; [None]; [0]
 c1ccc2nc(Nc3ncc(C4CC4)cn3)ncc2c1; [None]; [None]; [0]
 c1cnc2c(Nc3ncc(C4CC4)cn3)c[nH]c2c1; [None]; [None]; [0]
+OCCn1cnc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 c1cc2cnc(Nc3ncc(C4CC4)cn3)nc2[nH]1; [None]; [None]; [0]
 COc1ccc(C#N)cc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1CNc1ncc(C2CC2)cn1; [None]; [None]; [0]
 COc1ccc(ONc2ncc(C3CC3)cn2)c(F)c1F; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](Nc2ncc(C3CC3)cn2)CC1; [None]; [None]; [0]
 COc1ccc(OC)c(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(Nc2ncc(C3CC3)cn2)n1; [None]; [None]; [0]
+COc1ncccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 CN(C)c1cc(Nc2ncc(C3CC3)cn2)cnn1; [None]; [None]; [0]
 c1ccc2[nH]c(C3CCN(Nc4ncc(C5CC5)cn4)CC3)nc2c1; [None]; [None]; [0]
 C1=C(c2c[nH]c3ccccc23)CCN(Nc2ncc(C3CC3)cn2)C1; [None]; [None]; [0]
 O=C(Nc1cccc(Nc2ncc(C3CC3)cn2)c1)C1CCNCC1; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 CCOc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
-COc1ncccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 COc1cc(Nc2ncc(C3CC3)cn2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(Nc3ncc(C4CC4)cn3)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 COc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(Nc2ncc(C3CC3)cn2)c1)C1CC1; [None]; [None]; [0]
 c1ccc2[nH]c(Nc3ncc(C4CC4)cn3)nc2c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3ncc(C4CC4)cn3)cc2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(Nc2ncc(C3CC3)cn2)cn1; [None]; [None]; [0]
 O=C([O-])c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+c1ccc2c(Nc3ncc(C4CC4)cn3)nccc2c1; [None]; [None]; [0]
 NC(=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 c1cnc(NNc2ncc(C3CC3)cn2)nc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(Nc3ncc(C4CC4)cn3)cn2)c1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
-c1ccc2c(CNc3ncc(C4CC4)cn3)nccc2c1; [None]; [None]; [0]
 OCCOc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 CC(=O)NCc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 c1cc(Nc2ncc(C3CC3)cn2)cc(C2CCNCC2)c1; [None]; [None]; [0]
@@ -61010,7 +40598,9 @@ O=S1(=O)Cc2ccc(Nc3ncc(C4CC4)cn3)cc2C1; [None]; [None]; [0]
 FC(F)(F)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 CN(C)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+Oc1ccccc1CNc1ncc(C2CC2)cn1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(Nc2ncc(C3CC3)cn2)CC1; [None]; [None]; [0]
+Nc1ncc(CNc2ncc(C3CC3)cn2)cn1; [None]; [None]; [0]
 O=C(c1ccccc1)N1CC[C@H](Nc2ncc(C3CC3)cn2)C1; [None]; [None]; [0]
 CC(C)c1cc(Nc2ncc(C3CC3)cn2)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
@@ -61019,31 +40609,45 @@ CCCOc1ccc(Nc2ncc(C3CC3)cn2)nc1; [None]; [None]; [0]
 Cc1c(Nc2ncc(C3CC3)cn2)cccc1C(=O)[O-]; [None]; [None]; [0]
 Brc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 CN(C)c1ccc(Nc2ncc(C3CC3)cn2)cc1Cl; [None]; [None]; [0]
+COc1ccc(CNc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+c1cc2nc(Nc3ncc(C4CC4)cn3)ccn2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2ncc(C3CC3)cn2)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 COc1ccc(Cl)cc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+c1ccc2c(Nc3ncc(C4CC4)cn3)c[nH]c2c1; [None]; [None]; [0]
 COc1cc(OC)c(Nc2ncc(C3CC3)cn2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(Nc3ncc(C4CC4)cn3)[nH]c2c1; [None]; [None]; [0]
 c1cc2c(cc1Nc1ncc(C3CC3)cn1)CCO2; [None]; [None]; [0]
 c1ccc(-c2cc(Nc3ncc(C4CC4)cn3)n[nH]2)cc1; [None]; [None]; [0]
-c1ccc2cc(Nc3ncc(C4CC4)cn3)ncc2c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 COc1cc(Nc2ncc(C3CC3)cn2)ccc1O; [None]; [None]; [0]
 c1cc(Nc2ncc(C3CC3)cn2)c2c(c1)OCO2; [None]; [None]; [0]
 c1nc(Nc2scc3c2OCCO3)ncc1C1CC1; [None]; [None]; [0]
-CC(C)(C)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+Fc1ccc2nc(CNc3ncc(C4CC4)cn3)[nH]c2c1F; [None]; [None]; [0]
+Fc1ccc2[nH]c(CNc3ncc(C4CC4)cn3)nc2c1F; [None]; [None]; [0]
 c1ccc2ncc(Nc3ncc(C4CC4)cn3)cc2c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(Nc2ncc(C3CC3)cn2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](Nc2ncc(C3CC3)cn2)CC1; [None]; [None]; [0]
+c1ccc2[nH]c(CNc3ncc(C4CC4)cn3)nc2c1; [None]; [None]; [0]
+Cc1ccc(Nc2ncc(C3CC3)cn2)c(=O)[nH]1; [None]; [None]; [0]
+c1ccc(CCCNc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(Nc3ncc(C4CC4)cn3)n2)c1; [None]; [None]; [0]
 COc1cccc(C(=O)NNc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
+CSc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+c1ccc2sc(Nc3ncc(C4CC4)cn3)cc2c1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(Nc3ncc(C4CC4)cn3)cc2)CC1; [None]; [None]; [0]
 Cc1cc(Nc2ncc(C3CC3)cn2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 CC[C@@H](CO)Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 Fc1ccc(Nc2ncc(C3CC3)cn2)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(Nc3ncc(C4CC4)cn3)ccc2N1; [None]; [None]; [0]
 Brc1cnc(Nc2ncc(C3CC3)cn2)nc1; [None]; [None]; [0]
 COc1ccc(Nc2ncc(C3CC3)cn2)cc1OC; [None]; [None]; [0]
 CCc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 Clc1ccc(Nc2ncc(C3CC3)cn2)c(Cl)c1; [None]; [None]; [0]
+c1ncn(CCCNc2ncc(C3CC3)cn2)n1; [None]; [None]; [0]
 c1cc2cnc(Nc3ncc(C4CC4)cn3)nn2c1; [None]; [None]; [0]
 COc1cc(Nc2ncc(C3CC3)cn2)ccc1N1CCOCC1; [None]; [None]; [0]
 c1ccn2nc(Nc3ncc(C4CC4)cn3)cc2c1; [None]; [None]; [0]
@@ -61055,8 +40659,11 @@ COc1cc(F)c(Nc2ncc(C3CC3)cn2)cc1OC; [None]; [None]; [0]
 COc1cc(Nc2ncc(C3CC3)cn2)ccc1Cl; [None]; [None]; [0]
 Clc1cnc(Nc2ncc(C3CC3)cn2)nc1; [None]; [None]; [0]
 Cc1csc2c(Nc3ncc(C4CC4)cn3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 Nc1cc(Nc2ncc(C3CC3)cn2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2ncc(C3CC3)cn2)nc1; [None]; [None]; [0]
 COc1cc(Nc2ncc(C3CC3)cn2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(CNc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](Nc2ncc(C3CC3)cn2)CC1; [None]; [None]; [0]
 CCNC(=O)N1CCC(Nc2ncc(C3CC3)cn2)CC1; [None]; [None]; [0]
@@ -61069,10 +40676,9 @@ C[NH+](C)Cc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 c1cncc(-c2ccnc(Nc3ncc(C4CC4)cn3)c2)c1; [None]; [None]; [0]
 c1ccc2oc(Nc3ncc(C4CC4)cn3)cc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 c1cc2nc(Nc3ncc(C4CC4)cn3)ncc2s1; [None]; [None]; [0]
 CC(C)c1nn(C)cc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(Nc2ncc(C3CC3)cn2)c1)N1CCCC1; [None]; [None]; [0]
 COc1ccc2nc(Nc3ncc(C4CC4)cn3)[nH]c2c1; [None]; [None]; [0]
 FC(F)(F)Oc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
@@ -61081,6 +40687,7 @@ CC(C)(O)c1ccc2cc(Nc3ncc(C4CC4)cn3)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(Nc2ncc(C3CC3)cn2)n1; [None]; [None]; [0]
 c1nc(Nc2ncn3c2CCCC3)ncc1C1CC1; [None]; [None]; [0]
 Cc1cc(Nc2ncc(C3CC3)cn2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(Nc3ncc(C4CC4)cn3)ccc21; [None]; [None]; [0]
 CN(C)c1ccc(Nc2ncc(C3CC3)cn2)cn1; [None]; [None]; [0]
 Cc1n[nH]c2cc(Nc3ncc(C4CC4)cn3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(Nc3ncc(C4CC4)cn3)cn2)CC1; [None]; [None]; [0]
@@ -61089,72 +40696,405 @@ OCCc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 O=C(NNc1ncc(C2CC2)cn1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(Nc2ncc(C3CC3)cn2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(Nc3ncc(C4CC4)cn3)cc2)n1C; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(Nc2ncc(C3CC3)cn2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(Nc2ncc(C3CC3)cn2)cc1C(C)(C)O; [None]; [None]; [0]
 CCNC(=O)c1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
-C[C@H](CS(C)(=O)=O)Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2ncc(C3CC3)cn2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(Nc2ncc(C3CC3)cn2)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(Nc2ncc(C3CC3)cn2)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1Nc1ncc(C2CC2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+COC(C)(C)CCc1ccc2ncccc2n1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3ncccc3n2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ccc3ncccc3n2)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1cnc2ccc(-c3ccnc4ccccc34)nc2c1; [None]; [None]; [0]
+CCn1cc(-c2ccc3ncccc3n2)cn1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4ncccc4n3)cn2)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc4ncccc4n3)cc2c1=O; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3ccc4ncccc4n3)[nH]2)cc1; [None]; [None]; [0]
+OCCn1cc(-c2ccc3ncccc3n2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccc3ncccc3n2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccc3ncccc3n2)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1ccc2ncccc2n1; [None]; [None]; [0]
+COc1cnc(-c2ccc3ncccc3n2)nc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1ccc2ncccc2n1; [None]; [None]; [0]
+Cc1ccc(-c2ccc3ncccc3n2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1cnc2ccc(-c3cnc4ccccn34)nc2c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccc3ncccc3n2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccc3ncccc3n2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1cnc2ccc(-c3cnc4cccnn34)nc2c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1cc(Cn2cncn2)cc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+Brc1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+c1cncc(CNc2ccc3ncccc3n2)c1; [None]; [None]; [0]
 Cc1c(-c2ccc3ncccc3n2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
 c1cnc2ccc(-c3cnn4ncccc34)nc2c1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc3ncccc3n2)o1; [None]; [None]; [0]
+c1ccc2cc(-c3ccc4ncccc4n3)ccc2c1; [None]; [None]; [0]
+c1cncc(Nc2ccc3ncccc3n2)c1; [None]; [None]; [0]
+c1cnc2ccc(-n3cnc4ccccc43)nc2c1; [None]; [None]; [0]
+c1cnc2ccc(NCCc3c[nH]cn3)nc2c1; [None]; [None]; [0]
+O=C(Nc1ccc2ncccc2n1)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1ccc2c(-c3ccc4ncccc4n3)cncc2c1; [None]; [None]; [0]
+c1ccc(CCNc2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccc4ncccc4n3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc4ncccc4n3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ccc4ncccc4n3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4ncccc4n3)ccc21; [None]; [None]; [0]
+c1cnc2ccc(-c3ccc(-c4cn[nH]c4)cc3)nc2c1; [None]; [None]; [0]
+Clc1ccc(CNc2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
+Oc1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+OCc1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
 COc1cc(-c2ccc3ncccc3n2)ccc1C(=O)[O-]; [None]; [None]; [0]
+c1cnc2ccc(Nc3ccncc3)nc2c1; [None]; [None]; [0]
 CC(C)n1cc(-c2ccc3ncccc3n2)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1ccc2ncccc2n1; [None]; [None]; [0]
+CSc1nc(-c2ccc3ncccc3n2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccc2ncccc2n1; [None]; [None]; [0]
 c1cnc2ccc(CCc3c[nH]nn3)nc2c1; [None]; [None]; [0]
+c1cnc2ccc(-c3csc4ncncc34)nc2c1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ccc4ncccc4n3)cc2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+Nc1nc(-c2ccc3ncccc3n2)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc4ncccc4n3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+Fc1ccc(-c2ccc3ncccc3n2)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1ccc2ncccc2n1; [None]; [None]; [0]
+c1ccc(Oc2ccc3ncccc3n2)nc1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1ccc2ncccc2n1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
 O=C(Nc1ccc2ncccc2n1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cn1cc(-c2ccc3ncccc3n2)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ccc3ncccc3n2)CC1; [None]; [None]; [0]
 CC(C)(COc1ccc2ncccc2n1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2ccc3ncccc3n2)cc1Cl; [None]; [None]; [0]
+c1cnc2ccc(-c3cnn4ccccc34)nc2c1; [None]; [None]; [0]
 [NH3+]Cc1ccc(-c2ccc3ncccc3n2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2ccc3ncccc3n2)cn1; [None]; [None]; [0]
+O=c1cc(-c2ccc3ncccc3n2)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3ccc4ncccc4n3)c21; [None]; [None]; [0]
+COc1cc(CCc2ccc3ncccc3n2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
 C[C@@H](Oc1ccc2ncccc2n1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+CCN(CC)c1ccc2ncccc2n1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ccc4ncccc4n3)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3ccc4ncccc4n3)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1ccc2ncccc2n1; [None]; [None]; [0]
 c1ccc(-c2ccncc2Nc2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1ccc2ncc(Nc3ccc4ncccc4n3)cc2c1; [None]; [None]; [0]
+c1cnc2ccc(-c3c[nH]c4cnccc34)nc2c1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1cnc2ccc(-c3cnc4[nH]ccc4c3)nc2c1; [None]; [None]; [0]
+CC1(c2ccc3ncccc3n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1ccc2ncccc2n1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+c1cnc2ccc(-c3ccc(N4CCOCC4)cc3)nc2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc3ncccc3n2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1ccc2ncccc2n1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
+OCCc1cn(-c2ccc3ncccc3n2)cn1; [None]; [None]; [0]
+C[C@H](Nc1ccc2ncccc2n1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1ccc2ncccc2n1)C(C)(C)O; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1ccc2ncccc2n1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1cnc2ccc(-c3ccc(-n4cncn4)cc3)nc2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3ccc4ncccc4n3)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc3ncccc3n2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ccc3ncccc3n2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc3ncccc3n2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3ncccc3n2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+c1cnc2ccc(-c3nncn3C3CC3)nc2c1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ccc5ncccc5n4)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1ccc2ncccc2n1)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1ccc2ncccc2n1)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4ncccc4n3)nn2)cc1; [None]; [None]; [0]
+CCc1cc(-c2ccc3ncccc3n2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccc3ncccc3n2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2ccc3ncccc3n2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3ncccc3n2)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2ccc3ncccc3n2)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc3ncccc3n2)CC1; [None]; [None]; [0]
+c1cnc2ccc(-c3nc4ccccc4s3)nc2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ccc4ncccc4n3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4ncccc4n3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
+c1cc(-c2ccc3ncccc3n2)c2sccc2c1; [None]; [None]; [0]
 c1cnc2ccc(-c3cccc4nnsc34)nc2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc3ncccc3n2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2ccc3ncccc3n2)nc2ccccc12; [None]; [None]; [0]
+c1ccc2nc(-c3ccc4ncccc4n3)ncc2c1; [None]; [None]; [0]
+c1cnc2ccc(-c3c[nH]c4cccnc34)nc2c1; [None]; [None]; [0]
+OCCn1cnc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+c1cnc2ccc(-c3ncc4cc[nH]c4n3)nc2c1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc2ncccc2n1; [None]; [None]; [0]
 COc1ccc(Oc2ccc3ncccc3n2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc3ncccc3n2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc3ncccc3n2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+COc1ncccc1-c1ccc2ncccc2n1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc3ncccc3n2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc3ncccc3n2)cnn1; [None]; [None]; [0]
+c1cnc2ccc(N3CCC(c4nc5ccccc5[nH]4)CC3)nc2c1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3ncccc3n2)C1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ccc3ncccc3n2)c1)C1CCNCC1; [None]; [None]; [0]
+Oc1cccc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2cccc3ncccc23)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2c(Cl)ccc3c2OCO3)c1; [None]; [None]; [0]
+CCc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(Cl)c(O)c2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2n[nH]c3ccccc23)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2c(Cl)cccc2Cl)c1; [None]; [None]; [0]
+NC(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(Nc2cc(O)ccn2)c(F)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(O)cc2Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(O)cc2F)c1; [None]; [None]; [0]
+Nc1nccc(Nc2cc(O)ccn2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
+Cc1nc2c(F)cc(Nc3cc(O)ccn3)cc2[nH]1; [None]; [None]; [0]
+Oc1ccnc(Nc2cn[nH]c2Cl)c1; [None]; [None]; [0]
+COc1cc(F)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
 Oc1ccnc(Nc2ccc(-c3ccc(O)cc3O)cc2)c1; [None]; [None]; [0]
+COc1cc(Nc2cc(O)ccn2)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(Nc2cc(O)ccn2)o1; [None]; [None]; [0]
+Oc1ccnc(NCOc2cccc(Cl)c2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2cccc(Br)c2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc3ccccc3c2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(O)c(F)c2)c1; [None]; [None]; [0]
+Cn1cc(Nc2cc(O)ccn2)c2ccccc21; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(O)cc2O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
 Oc1ccnc(Nc2cnn3ncccc23)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+Nc1cc(Nc2cc(O)ccn2)ccn1; [None]; [None]; [0]
+Oc1ccnc(NCOc2ccccc2Cl)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(F)c(Cl)c2)c1; [None]; [None]; [0]
+OC[C@@H](Nc1cc(O)ccn1)c1ccccc1; [None]; [None]; [0]
+Oc1ccnc(NCCc2ccc(Cl)cc2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1Nc1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(Nc2cc(O)ccc2Cl)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(Nc2cnc(O)c(Cl)c2)c1; [None]; [None]; [0]
+NC(=O)c1cc(Nc2cc(O)ccn2)c[nH]1; [None]; [None]; [0]
+COc1cc(Nc2cc(O)ccn2)cc(OC)c1; [None]; [None]; [0]
+COc1ccc(Nc2cc(O)ccn2)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(Nc3cc(O)ccn3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(Nc3cc(O)ccn3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2cnc3[nH]ccc3c2)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2nc3ccccc3s2)c1; [None]; [None]; [0]
+Oc1cncc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+O=C1Cc2cc(Nc3cc(O)ccn3)ccc2N1; [None]; [None]; [0]
+CNc1nccc(Nc2cc(O)ccn2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
+Cc1n[nH]c(Nc2cc(O)ccn2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(Nc2cc(C(F)F)n[nH]2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccncc2Cl)c1; [None]; [None]; [0]
+CCc1sccc1Nc1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(Nc2cc(Cl)c(O)c(Cl)c2)c1; [None]; [None]; [0]
+CNc1nc(Nc2cc(O)ccn2)ncc1F; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc3c(c2)CCN3)c1; [None]; [None]; [0]
 Oc1ccnc(Nc2cc(O)n3nccc3n2)c1; [None]; [None]; [0]
 Cc1oc(Nc2cc(O)ccn2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]c2ccc(Nc3cc(O)ccn3)cc2[nH]1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(Br)cc2F)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2[nH]nc3ccc(F)cc23)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1cc(Br)cc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Cc1cc(Nc2cc(O)ccn2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(Nc3cc(O)ccn3)cc2o1; [None]; [None]; [0]
+Cc1cc(Nc2cc(O)ccn2)cc(C)c1O; [None]; [None]; [0]
+Oc1ccnc(Nc2cc(F)c(O)c(F)c2)c1; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(Nc3cc(O)ccn3)ccc12; [None]; [None]; [0]
+CSc1cccc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
 Oc1ccnc(Nc2ocnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1Nc1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(Nc2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+CCOc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2ncc3ccccc3n2)c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1Nc1cc(O)ccn1; [None]; [None]; [0]
+COc1ncccc1Nc1cc(O)ccn1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+COc1cc(Nc2cc(O)ccn2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(Nc3cc(O)ccn3)c2c1; [None]; [None]; [0]
+Oc1ccnc(Nc2cnc3cccnn23)c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+COc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(N3CCOCC3)cc2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2cc(O)ccn2)c1)C1CC1; [None]; [None]; [0]
+Oc1ccnc(Nc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3cc(O)ccn3)cc2)CC1; [None]; [None]; [0]
+Oc1ccnc(Nc2nccc3ccccc23)c1; [None]; [None]; [0]
+Oc1ccnc(NNc2ncccn2)c1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(Nc3cc(O)ccn3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+OCCOc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
+O=C(c1ccc(Nc2cc(O)ccn2)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(Nc2cc(O)ccn2)nc1)N1CCOCC1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(Nc3cc(O)ccn3)cc2C1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(C(F)(F)F)cc2)c1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(NCc2ccccc2O)c1; [None]; [None]; [0]
+Cc1nc(C)c(Nc2cc(O)ccn2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(Nc2cc(O)ccn2)CC1; [None]; [None]; [0]
+Nc1ncc(CNc2cc(O)ccn2)cn1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](Nc2cc(O)ccn2)C1; [None]; [None]; [0]
 CC(C)c1cc(Nc2cc(O)ccn2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(Nc3cc(O)ccn3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(Nc2cc(O)ccn2)nc1; [None]; [None]; [0]
+Cc1c(Nc2cc(O)ccn2)cccc1C(=O)[O-]; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(Br)cc2)c1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cc(O)ccn2)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccn3nccc3n2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2cc(O)ccn2)c(C)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccccc2-n2cccn2)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(Nc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+COc1cc(OC)c(Nc2cc(O)ccn2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(Nc3cc(O)ccn3)[nH]c2c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc3c(c2)CCO3)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2cc(-c3ccccc3)[nH]n2)c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(Nc2cccc3c2OCO3)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2scc3c2OCCO3)c1; [None]; [None]; [0]
+Oc1ccnc(NCc2nc3ccc(F)c(F)c3[nH]2)c1; [None]; [None]; [0]
+Oc1ccnc(NCc2nc3c(F)c(F)ccc3[nH]2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2cnc3ccccc3c2)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2cc(O)ccn2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2cc(O)ccn2)CC1; [None]; [None]; [0]
+Oc1ccnc(NCc2nc3ccccc3[nH]2)c1; [None]; [None]; [0]
+Nc1nc(Nc2cc(O)ccn2)cs1; [None]; [None]; [0]
+Cc1ccc(Nc2cc(O)ccn2)c(=O)[nH]1; [None]; [None]; [0]
+Oc1ccnc(NCCCc2ccccc2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccn(-c3cccc(Cl)c3)n2)c1; [None]; [None]; [0]
+COc1cccc(C(=O)NNc2cc(O)ccn2)c1; [None]; [None]; [0]
+CSc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2cc3ccccc3s2)c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(Nc3cc(O)ccn3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2cc(O)ccn2)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)Nc1cc(O)ccn1; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)Nc1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(F)cc2Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(Nc3cc(O)ccn3)ccc2N1; [None]; [None]; [0]
+Oc1ccnc(Nc2ncc(Br)cn2)c1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(Cl)cc2Cl)c1; [None]; [None]; [0]
+Oc1ccnc(NCCCn2cncn2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ncc3cccn3n2)c1; [None]; [None]; [0]
+COc1cc(Nc2cc(O)ccn2)ccc1N1CCOCC1; [None]; [None]; [0]
+Oc1ccnc(Nc2cc3ccccn3n2)c1; [None]; [None]; [0]
+Cn1cc(Nc2cc(O)ccn2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(Nc3cc(O)ccn3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(Nc3cc(O)ccn3)c2c1; [None]; [None]; [0]
+Oc1ccnc(Nc2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
+COc1cc(F)c(Nc2cc(O)ccn2)cc1OC; [None]; [None]; [0]
+COc1cc(Nc2cc(O)ccn2)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(Nc2cc(O)ccn2)cn1; [None]; [None]; [0]
+Oc1ccnc(Nc2ncc(Cl)cn2)c1; [None]; [None]; [0]
+Cc1csc2c(Nc3cc(O)ccn3)ncnc12; [None]; [None]; [0]
 Nc1cc(Nc2cc(O)ccn2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2cc(O)ccn2)nc1; [None]; [None]; [0]
+COc1cc(Nc2cc(O)ccn2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(CNc2cc(O)ccn2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](Nc2cc(O)ccn2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(Nc2cc(O)ccn2)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(Nc1cc(O)ccn1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(Nc3cc(O)ccn3)cc2c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc3cn[nH]c3c2)c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+CCn1cc(Nc2cc(O)ccn2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2cc(-c3cccnc3)ccn2)c1; [None]; [None]; [0]
+Oc1ccnc(Nc2cc3ccccc3o2)c1; [None]; [None]; [0]
+Cn1cc(Br)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
+Oc1ccnc(Nc2ncc3sccc3n2)c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2cc(O)ccn2)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(Nc3cc(O)ccn3)[nH]c2c1; [None]; [None]; [0]
+Oc1ccnc(Nc2ccc(OC(F)(F)F)cc2)c1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NNc2cc(O)ccn2)c1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(Nc3cc(O)ccn3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(Nc2cc(O)ccn2)n1; [None]; [None]; [0]
 Oc1ccnc(Nc2ncn3c2CCCC3)c1; [None]; [None]; [0]
+Cc1cc(Nc2cc(O)ccn2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(Nc3cc(O)ccn3)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(Nc3cc(O)ccn3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cc(O)ccn2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(Nc3cc(O)ccn3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(Nc3cc(O)ccn3)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+OCCc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
 O=C(NNc1cc(O)ccn1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2cc(O)ccn2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(Nc3cc(O)ccn3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1Nc1cc(O)ccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2cc(O)ccn2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(Nc2cc(O)ccn2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2cc(O)ccn2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(Nc2cc(O)ccn2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)Nc1cc(O)ccn1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(Nc2cc(O)ccn2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1Nc1cc(O)ccn1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 CCOc1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ncc4ccccc4n3)nc12; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
@@ -61163,21 +41103,20 @@ CS(=O)(=O)c1cccc(-c2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
 COc1cc(-c2ccc3ccnc(N)c3n2)cc(OC)c1OC; [None]; [None]; [0]
 Cc1ccc2ncn(-c3ccc4ccnc(N)c4n3)c2c1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cnc4cccnn34)nc12; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cccc(O)c3)nc12; [None]; [None]; [0]
-Nc1nccc2ccc(-c3ccc(N4CCOCC4)cc3)nc12; [None]; [None]; [0]
 COc1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccc(N4CCOCC4)cc3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cccc(NC(=O)C4CC4)c3)nc12; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc4ccnc(N)c4n3)cc2)CC1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3nc4ccccc4[nH]3)nc12; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc4ccnc(N)c4n3)cc2)CC1; [None]; [None]; [0]
 Cc1cc(Nc2ccc3ccnc(N)c3n2)sn1; [None]; [None]; [0]
-Nc1nccc2ccc(-n3ncc4ccccc4c3=O)nc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccc3ccnc(N)c3n2)cn1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(C(=O)[O-])cc3)nc12; [None]; [None]; [0]
+Nc1nccc2ccc(-c3nccc4ccccc34)nc12; [None]; [None]; [0]
 NC(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1nccc2ccc(Nc3ncccn3)nc12; [None]; [None]; [0]
-Nc1nccc2ccc(-c3ccc(C(=O)Nc4ccccc4)cc3)nc12; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3ccc4ccnc(N)c4n3)cn2)c1; [None]; [None]; [0]
-Nc1nccc2ccc(Cc3nccc4ccccc34)nc12; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccc(C(=O)Nc4ccccc4)cc3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(OCCO)cc3)nc12; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cccc(C4CCNCC4)c3)nc12; [None]; [None]; [0]
@@ -61191,10 +41130,8 @@ Nc1nccc2ccc(-c3ccc4c(c3)CS(=O)(=O)C4)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(C(F)(F)F)cc3)nc12; [None]; [None]; [0]
 CN(C)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
-Nc1nccc2ccc(Cc3ccccc3O)nc12; [None]; [None]; [0]
 Cc1nc(C)c(-c2ccc3ccnc(N)c3n2)s1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2ccc3ccnc(N)c3n2)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2ccc3ccnc(N)c3n2)cn1; [None]; [None]; [0]
 Nc1nccc2ccc([C@H]3CCN(C(=O)c4ccccc4)C3)nc12; [None]; [None]; [0]
 CC(C)c1cc(-c2ccc3ccnc(N)c3n2)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
@@ -61203,13 +41140,15 @@ CCCOc1ccc(-c2ccc3ccnc(N)c3n2)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(Br)cc3)nc12; [None]; [None]; [0]
 CN(C)c1ccc(-c2ccc3ccnc(N)c3n2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccn4nccc4n3)nc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3ccnc(N)c3n2)c(C)c1; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccccc3-n3cccn3)nc12; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3c[nH]c4ccccc34)nc12; [None]; [None]; [0]
-CC(C)c1ccc2nc(-c3ccc4ccnc(N)c4n3)[nH]c2c1; [None]; [None]; [0]
 COc1cc(OC)c(-c2ccc3ccnc(N)c3n2)cc1Cl; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3ccc4ccnc(N)c4n3)[nH]c2c1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc4c(c3)CCO4)nc12; [None]; [None]; [0]
-Nc1nccc2ccc(-c3cc4ccccc4cn3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cc(-c4ccccc4)[nH]n3)nc12; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
@@ -61220,21 +41159,23 @@ CC(C)(C)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cnc4ccccc4c3)nc12; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2ccc3ccnc(N)c3n2)cn1; [None]; [None]; [0]
-Nc1nccc2ccc(Cc3nc4c(F)c(F)ccc4[nH]3)nc12; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](c2ccc3ccnc(N)c3n2)CC1; [None]; [None]; [0]
+Nc1nc(-c2ccc3ccnc(N)c3n2)cs1; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccn(-c4cccc(Cl)c4)n3)nc12; [None]; [None]; [0]
 CC1(COc2ccc3ccnc(N)c3n2)COC1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
+Nc1nccc2ccc(-c3cc4ccccc4s3)nc12; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3ccc4ccnc(N)c4n3)cc2)CC1; [None]; [None]; [0]
 Cc1cc(-c2ccc3ccnc(N)c3n2)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
-Nc1nccc2ccc([C@H](CO)Cc3ccccc3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(F)cc3Cl)nc12; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccc4c(c3)CCC(=O)N4)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ncc(Br)cn3)nc12; [None]; [None]; [0]
 COc1ccc(-c2ccc3ccnc(N)c3n2)cc1OC; [None]; [None]; [0]
 CCc1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 COc1ccc(CNc2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(Cl)cc3Cl)nc12; [None]; [None]; [0]
-Nc1nccc2ccc(CCCn3cncn3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(NC3CN(C(=O)C4CC4)C3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ncc4cccn4n3)nc12; [None]; [None]; [0]
 COc1cc(-c2ccc3ccnc(N)c3n2)ccc1N1CCOCC1; [None]; [None]; [0]
@@ -61245,13 +41186,15 @@ COc1ccc2cccc(-c3ccc4ccnc(N)c4n3)c2c1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cccc4ccc(O)cc34)nc12; [None]; [None]; [0]
 COc1cc(F)c(-c2ccc3ccnc(N)c3n2)cc1OC; [None]; [None]; [0]
 COc1cc(-c2ccc3ccnc(N)c3n2)ccc1Cl; [None]; [None]; [0]
+Nc1nccc2ccc(-c3cnn(CCO)c3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ncc(Cl)cn3)nc12; [None]; [None]; [0]
 Cc1csc2c(-c3ccc4ccnc(N)c4n3)ncnc12; [None]; [None]; [0]
 Cc1nc(Nc2ccc3ccnc(N)c3n2)sc1C; [None]; [None]; [0]
 Cc1cc(Nc2ccc3ccnc(N)c3n2)nn1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1cc(-c2ccc3ccnc(N)c3n2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc3ccnc(N)c3n2)nc1; [None]; [None]; [0]
 COc1cc(-c2ccc3ccnc(N)c3n2)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 NC(=O)c1ccc(Cc2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1nccc2ccc(Cc3ccc(S(=O)(=O)CCO)cc3)nc12; [None]; [None]; [0]
@@ -61270,10 +41213,8 @@ CNC(=O)c1ccc(OC)c(-c2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cc(-c4cccnc4)ccn3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cc4ccccc4o3)nc12; [None]; [None]; [0]
 Cn1cc(Br)cc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ncc4sccc4n3)nc12; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cccc(NC(=O)N4CCCC4)c3)nc12; [None]; [None]; [0]
 COc1ccc2nc(-c3ccc4ccnc(N)c4n3)[nH]c2c1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(OC(F)(F)F)cc3)nc12; [None]; [None]; [0]
@@ -61300,44 +41241,52 @@ COc1cc(N2CCNCC2)ccc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ccc3ccnc(N)c3n2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2ccc3ccnc(N)c3n2)cc1C(C)(C)O; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3ccnc(N)c3n2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1nccc2ccc(Nc3ccc(F)cn3)nc12; [None]; [None]; [0]
 Cc1cc(Nc2ccc3ccnc(N)c3n2)ncc1F; [None]; [None]; [0]
 Nc1nccc2ccc(Nc3ccccn3)nc12; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
-Nc1nccc2ccc(-c3ccc(O)cc3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cccc4ncccc34)nc12; [None]; [None]; [0]
+Nc1nccc2ccc(-c3c(Cl)ccc4c3OCO4)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(Cl)c(O)c3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3n[nH]c4ccccc34)nc12; [None]; [None]; [0]
-Cn1c(-c2ccc3ccnc(N)c3n2)nc2ccccc21; [None]; [None]; [0]
 Nc1nccc2ccc(-c3c(Cl)cccc3Cl)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(Oc3ccc(F)cc3)nc12; [None]; [None]; [0]
 NC(=O)c1ccc(-c2ccc3ccnc(N)c3n2)c(F)c1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(O)cc3Cl)nc12; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccc(O)cc3F)nc12; [None]; [None]; [0]
 Nc1nccc(-c2ccc3ccnc(N)c3n2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc4ccnc(N)c4n3)cc2[nH]1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cn[nH]c3Cl)nc12; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)nc12; [None]; [None]; [0]
 COC(=O)c1ccc(-c2ccc3ccnc(N)c3n2)o1; [None]; [None]; [0]
 COc1cc(CCc2ccc3ccnc(N)c3n2)ccc1O; [None]; [None]; [0]
-Nc1nccc2ccc(COc3cccc(Cl)c3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cccc(Br)c3)nc12; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccc4ccccc4c3)nc12; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccc(O)c(F)c3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(O)cc3O)nc12; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cnn4ncccc34)nc12; [None]; [None]; [0]
+Nc1nccc2ccc(-c3c[nH]c4cnccc34)nc12; [None]; [None]; [0]
+Nc1cc(-c2ccc3ccnc(N)c3n2)ccn1; [None]; [None]; [0]
 Nc1nccc2ccc(COc3ccccc3Cl)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(F)c(Cl)c3)nc12; [None]; [None]; [0]
-Nc1nccc2ccc([C@H](CO)c3ccccc3)nc12; [None]; [None]; [0]
-Nc1nccc2ccc(CCc3ccc(Cl)cc3)nc12; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
+Nc1nccc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)nc12; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cc(O)ccc3Cl)nc12; [None]; [None]; [0]
-Nc1nccc2ccc(-c3c(Cl)ccc4c3OCO4)nc12; [None]; [None]; [0]
 Cc1ccc(CO)cc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cnc(O)c(Cl)c3)nc12; [None]; [None]; [0]
 NC(=O)c1cc(-c2ccc3ccnc(N)c3n2)c[nH]1; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3ccc4ccnc(N)c4n3)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4ccnc(N)c4n3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc3ccnc(N)c3n2)cc(OC)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cnc4[nH]ccc4c3)nc12; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2ccc3ccnc(N)c3n2)cc1; [None]; [None]; [0]
@@ -61349,10 +41298,14 @@ CNc1nccc(-c2ccc3ccnc(N)c3n2)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccc4ccnc(N)c4n3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc3ccnc(N)c3n2)c1C; [None]; [None]; [0]
 Cc1cc(O)ccc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
+Nc1nccc2ccc(-c3cc(C(F)F)n[nH]3)nc12; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccncc3Cl)nc12; [None]; [None]; [0]
 CCc1sccc1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cc(Cl)c(O)c(Cl)c3)nc12; [None]; [None]; [0]
+CNc1nc(-c2ccc3ccnc(N)c3n2)ncc1F; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc4c(c3)CCN4)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cc(O)n4nccc4n3)nc12; [None]; [None]; [0]
 Cc1oc(-c2ccc3ccnc(N)c3n2)cc1C(=O)[O-]; [None]; [None]; [0]
@@ -61361,23 +41314,21 @@ Cn1ncc(N)c1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
 Nc1nccc2ccc(Nc3ccncc3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(Br)cc3F)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3[nH]nc4ccc(F)cc34)nc12; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3ccnc(N)c3n2)c1C; [None]; [None]; [0]
 CN(c1ccc2ccnc(N)c2n1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cc(O)cc(Br)c3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ccc(C(=O)NC4CC4)cc3)nc12; [None]; [None]; [0]
 Cc1cc(-c2ccc3ccnc(N)c3n2)ccc1C(N)=O; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4ccnc(N)c4n3)cc2o1; [None]; [None]; [0]
-Nc1nccc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)nc12; [None]; [None]; [0]
+Cc1cc(-c2ccc3ccnc(N)c3n2)cc(C)c1O; [None]; [None]; [0]
 Nc1nccc2ccc(-c3cc(F)c(O)c(F)c3)nc12; [None]; [None]; [0]
-Nc1nccc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)nc12; [None]; [None]; [0]
-Nc1nccc2ccc(OCc3ccccc3)nc12; [None]; [None]; [0]
+Nc1nccc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)nc12; [None]; [None]; [0]
+CSc1cccc(-c2ccc3ccnc(N)c3n2)c1; [None]; [None]; [0]
 Nc1nccc2ccc(CCc3c[nH]c4ccccc34)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(OCc3cccc4ccccc34)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(-c3ocnc3-c3ccc(F)cc3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(Oc3ccc(F)cc3F)nc12; [None]; [None]; [0]
-Nc1nccc2ccc(Oc3ccccc3F)nc12; [None]; [None]; [0]
-Nc1nccc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)nc12; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1ccc2ccnc(N)c2n1; [None]; [None]; [0]
+Nc1nccc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(OCc3ccc(F)cc3F)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(CCc3ccc(F)cc3F)nc12; [None]; [None]; [0]
 Nc1nccc2ccc(NCc3c(F)cccc3Cl)nc12; [None]; [None]; [0]
@@ -61388,17 +41339,19 @@ Cc1nc(C(C)(C)O)sc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 COc1ncccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
 COc1cc(-c2cc(N)nc3[nH]ccc23)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cc(N)nc4[nH]ccc34)c2c1; [None]; [None]; [0]
 Nc1cc(-c2cnc3cccnn23)c2cc[nH]c2n1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
 Nc1cc(-c2cccc(O)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 Nc1cc(-c2ccc(N3CCOCC3)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cccc(NC(=O)C3CC3)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cc(N)nc4[nH]ccc34)cc2)CC1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2cc(N)nc3[nH]ccc23)cn1; [None]; [None]; [0]
 Nc1cc(-c2ccc(C(=O)[O-])cc2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2nccc3ccccc23)c2cc[nH]c2n1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cc(N)nc4[nH]ccc34)cn2)c1; [None]; [None]; [0]
 Nc1cc(-c2ccc(C(=O)Nc3ccccc3)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
-Nc1cc(Cc2nccc3ccccc23)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2ccc(OCCO)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 Nc1cc(-c2cccc(C3CCNCC3)c2)c2cc[nH]c2n1; [None]; [None]; [0]
@@ -61411,43 +41364,61 @@ Nc1cc(-c2ccc3c(c2)CS(=O)(=O)C3)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2ccc(C(F)(F)F)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
+Nc1cc(Cc2ccccc2O)c2cc[nH]c2n1; [None]; [None]; [0]
 Cc1nc(C)c(-c2cc(N)nc3[nH]ccc23)s1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2cc(N)nc3[nH]ccc23)CC1; [None]; [None]; [0]
+Nc1cc(Cc2cnc(N)nc2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc([C@H]2CCN(C(=O)c3ccccc3)C2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(C)c1cc(-c2cc(N)nc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
-CCCOc1ccc(-c2cc(N)nc3[nH]ccc23)nc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cc(N)nc4[nH]ccc34)c2)CC1; [None]; [None]; [0]
+CCCOc1ccc(-c2cc(N)nc3[nH]ccc23)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(-c2ccc(Br)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cc2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
+Nc1cc(-c2ccn3nccc3n2)c2cc[nH]c2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)c(C)c1; [None]; [None]; [0]
+Nc1cc(-c2ccccc2-n2cccn2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(-c2c[nH]c3ccccc23)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1cc(OC)c(-c2cc(N)nc3[nH]ccc23)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cc(N)nc4[nH]ccc34)[nH]c2c1; [None]; [None]; [0]
 Nc1cc(-c2ccc3c(c2)CCO3)c2cc[nH]c2n1; [None]; [None]; [0]
-Nc1cc(-c2cc3ccccc3cn2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cc(-c3ccccc3)[nH]n2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(=O)Nc1cccc(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 COc1cc(-c2cc(N)nc3[nH]ccc23)ccc1O; [None]; [None]; [0]
 Nc1cc(-c2cccc3c2OCO3)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2scc3c2OCCO3)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(Cc2nc3ccc(F)c(F)c3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(Cc2nc3c(F)c(F)ccc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 Nc1cc(-c2cnc3ccccc3c2)c2cc[nH]c2n1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2cc(N)nc3[nH]ccc23)cn1; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](c2cc(N)nc3[nH]ccc23)CC1; [None]; [None]; [0]
+Nc1cc(Cc2nc3ccccc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2csc(N)n2)c2cc[nH]c2n1; [None]; [None]; [0]
+Cc1ccc(-c2cc(N)nc3[nH]ccc23)c(=O)[nH]1; [None]; [None]; [0]
+Nc1cc(CCCc2ccccc2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2ccn(-c3cccc(Cl)c3)n2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
+CSc1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
+Nc1cc(-c2cc3ccccc3s2)c2cc[nH]c2n1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-c3cc(N)nc4[nH]ccc34)cc2)CC1; [None]; [None]; [0]
 Cc1cc(-c2cc(N)nc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
 CC[C@@H](CO)c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
+Nc1cc([C@H](CO)Cc2ccccc2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2ccc(F)cc2Cl)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2ccc3c(c2)CCC(=O)N3)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2ncc(Br)cn2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1ccc(-c2cc(N)nc3[nH]ccc23)cc1OC; [None]; [None]; [0]
 CCc1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 Nc1cc(-c2ccc(Cl)cc2Cl)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(CCCn2cncn2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2ncc3cccn3n2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1cc(-c2cc(N)nc3[nH]ccc23)ccc1N1CCOCC1; [None]; [None]; [0]
 Nc1cc(-c2cc3ccccn3n2)c2cc[nH]c2n1; [None]; [None]; [0]
@@ -61456,11 +41427,15 @@ CC1(C)Cc2cc(-c3cc(N)nc4[nH]ccc34)ccc2O1; [None]; [None]; [0]
 COc1ccc2cccc(-c3cc(N)nc4[nH]ccc34)c2c1; [None]; [None]; [0]
 Nc1cc(-c2cccc3ccc(O)cc23)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1cc(F)c(-c2cc(N)nc3[nH]ccc23)cc1OC; [None]; [None]; [0]
-Nc1cc(-c2ncc(Cl)cn2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1cc(-c2cc(N)nc3[nH]ccc23)ccc1Cl; [None]; [None]; [0]
+Nc1cc(-c2cnn(CCO)c2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2ncc(Cl)cn2)c2cc[nH]c2n1; [None]; [None]; [0]
 Cc1csc2c(-c3cc(N)nc4[nH]ccc34)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 Nc1cc(-c2cc(N)nc3[nH]ccc23)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)nc1; [None]; [None]; [0]
 COc1cc(-c2cc(N)nc3[nH]ccc23)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2cc(N)nc3[nH]ccc23)CC1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2cc(N)nc3[nH]ccc23)CC1; [None]; [None]; [0]
@@ -61470,13 +41445,13 @@ COc1ccc2c(c1)c(-c1cc(N)nc3[nH]ccc13)cn2C; [None]; [None]; [0]
 COc1ccc2oc(-c3cc(N)nc4[nH]ccc34)cc2c1; [None]; [None]; [0]
 Nc1cc(-c2ccc3cn[nH]c3c2)c2cc[nH]c2n1; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
+CCn1cc(-c2cc(N)nc3[nH]ccc23)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
 Nc1cc(-c2cc(-c3cccnc3)ccn2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cc3ccccc3o2)c2cc[nH]c2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(-c2ncc3sccc3n2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 Nc1cc(-c2cccc(NC(=O)N3CCCC3)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1ccc2nc(-c3cc(N)nc4[nH]ccc34)[nH]c2c1; [None]; [None]; [0]
 Nc1cc(-c2ccc(OC(F)(F)F)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
@@ -61486,11 +41461,13 @@ CC(C)(O)c1ccc2cc(-c3cc(N)nc4[nH]ccc34)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(-c2cc(N)nc3[nH]ccc23)n1; [None]; [None]; [0]
 Nc1cc(-c2ncn3c2CCCC3)c2cc[nH]c2n1; [None]; [None]; [0]
 Cc1cc(-c2cc(N)nc3[nH]ccc23)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3cc(N)nc4[nH]ccc34)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cc(N)nc4[nH]ccc34)ccc21; [None]; [None]; [0]
 CN(C)c1ccc(-c2cc(N)nc3[nH]ccc23)cn1; [None]; [None]; [0]
 Cc1n[nH]c2cc(-c3cc(N)nc4[nH]ccc34)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cc(N)nc4[nH]ccc34)cn2)CC1; [None]; [None]; [0]
-Nc1cc(-c2ccc(CCO)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cccc(N3CCCC3=O)c2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2ccc(CCO)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(NC(=O)c2cccc(OC(F)(F)F)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cc(N)nc4[nH]ccc34)cc2)n1C; [None]; [None]; [0]
@@ -61501,6 +41478,8 @@ COc1cc(N2CCNCC2)ccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cc(N)nc3[nH]ccc23)cc1C(C)(C)O; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
 C[C@H](CS(C)(=O)=O)c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
@@ -61510,62 +41489,67 @@ CCOc1ccccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 COC(C)(C)CCc1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Cc1nnc(-c2ccccc2-c2cc(N)nc3[nH]ccc23)[nH]1; [None]; [None]; [0]
 CC(C)S(=O)(=O)c1ccccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
-COc1ccc(F)cc1[C@@H](C)c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(Cc2cc(F)cc(F)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 CP(C)(=O)c1ccccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(-c2ccnc3ccccc23)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cccc(C(F)(F)F)c2)c2cc[nH]c2n1; [None]; [None]; [0]
-Nc1cc(-c2ccccc2Br)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2ccccc2OC(F)(F)F)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2ccccc2C(=O)[O-])c2cc[nH]c2n1; [None]; [None]; [0]
 NC(=O)c1ccccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(-c2cnn(Cc3ccccc3)c2)c2cc[nH]c2n1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cc(N)nc4[nH]ccc34)cc2c1=O; [None]; [None]; [0]
 Nc1cc(-c2cnc(-c3ccccc3)[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
-Nc1cc([C@@H](N)c2ccco2)c2cc[nH]c2n1; [None]; [None]; [0]
-Nc1cc(-c2cnn(CCO)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(C)(C)c1nc(-c2cc(N)nc3[nH]ccc23)cs1; [None]; [None]; [0]
 Nc1cc(-c2cccc(NC(=O)c3ccccc3)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-n2ncc3cccc(F)c3c2=O)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2cc(Cl)ccc2Cl)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(C)C(=O)COc1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
-Cc1nc2ccccn2c1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Cc1ccc(-c2cc(N)nc3[nH]ccc23)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(-c2cnc3ccccn23)c2cc[nH]c2n1; [None]; [None]; [0]
 CNc1nc(C)c(-c2cc(N)nc3[nH]ccc23)s1; [None]; [None]; [0]
 Cc1nc(N)sc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(-c2c(Cl)cccc2Cl)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cccc(Cn3cncn3)c2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2cccc(Br)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 Cc1ccc(Cl)c(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
-Cc1c(-c2cc(N)nc3[nH]ccc23)sc(=O)n1C; [None]; [None]; [0]
 Nc1cc(NCc2cccnc2)c2cc[nH]c2n1; [None]; [None]; [0]
+Cc1c(-c2cc(N)nc3[nH]ccc23)sc(=O)n1C; [None]; [None]; [0]
 Nc1cc(-c2ccnc(N)n2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cnn3ncccc23)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cccc(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
 Nc1cc(-c2ccc3ccccc3c2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(Nc2cccnc2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-n2cnc3ccccc32)c2cc[nH]c2n1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cc(N)nc3[nH]ccc23)o1; [None]; [None]; [0]
-Nc1cc(NC(=O)c2cccs2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(NCCc2c[nH]cn2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(NC(=O)c2cccs2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cccc(CC(=O)[O-])c2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2c[nH]nc2C(F)(F)F)c2cc[nH]c2n1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(-c2cncc3ccccc23)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(NCCc2ccccc2)c2cc[nH]c2n1; [None]; [None]; [0]
 Cn1cc(-c2ccc(-c3cc(N)nc4[nH]ccc34)cc2)cn1; [None]; [None]; [0]
 Nc1cc(-c2ccc3c(N)[nH]nc3c2)c2cc[nH]c2n1; [None]; [None]; [0]
 CN1c2ccc(-c3cc(N)nc4[nH]ccc34)cc2CS1(=O)=O; [None]; [None]; [0]
-Cn1ncc2cc(-c3cc(N)nc4[nH]ccc34)ccc21; [None]; [None]; [0]
+Nc1cc(-c2ccc(-c3cn[nH]c3)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(NCc2ccc(Cl)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
 CCCn1cnc(-c2cc(N)nc3[nH]ccc23)n1; [None]; [None]; [0]
 Nc1cc(-c2cccc(CO)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1cc(-c2cc(N)nc3[nH]ccc23)ccc1C(=O)[O-]; [None]; [None]; [0]
 Nc1cc(Nc2ccncc2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(C)n1cc(-c2cc(N)nc3[nH]ccc23)nn1; [None]; [None]; [0]
+Nc1cc(NCc2ccccc2F)c2cc[nH]c2n1; [None]; [None]; [0]
 CSc1nc(-c2cc(N)nc3[nH]ccc23)c[nH]1; [None]; [None]; [0]
 CC(C)c1oncc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(CCc2c[nH]nn2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2csc3ncncc23)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2cc3ccccc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
 N#CCCc1cccc(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
+Nc1cc(-c2cncnc2N)c2cc[nH]c2n1; [None]; [None]; [0]
 CCNc1nc2ccc(-c3cc(N)nc4[nH]ccc34)cc2s1; [None]; [None]; [0]
 CCC(=O)Nc1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 Nc1cc(-c2ccc(F)cc2C(F)(F)F)c2cc[nH]c2n1; [None]; [None]; [0]
+NC(=O)CCCc1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
+Nc1cc(Oc2ccccn2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(NC(=O)c2c(Cl)cccc2Cl)c2cc[nH]c2n1; [None]; [None]; [0]
 CS(=O)(=O)C1CCN(c2cc(N)nc3[nH]ccc23)CC1; [None]; [None]; [0]
@@ -61578,6 +41562,7 @@ Nc1cc(-c2cc[nH]c(=O)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cccc3c2C(=O)CC3)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1cc(CCc2cc(N)nc3[nH]ccc23)cc(OC)c1; [None]; [None]; [0]
 CC(C)(N)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 C[C@@H](Oc1cc(N)nc2[nH]ccc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
 C[S@](=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 CCN(CC)c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
@@ -61585,14 +41570,15 @@ Nc1cc(-c2cc3c(=O)[nH]ccc3o2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cc3c(=O)[nH]cc(Br)c3s2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1ccncc1Nc1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(Nc2cnccc2-c2ccccc2)c2cc[nH]c2n1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(Nc2cnc3ccccc3c2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2c[nH]c3cnccc23)c2cc[nH]c2n1; [None]; [None]; [0]
 CNC(=O)c1c(F)cccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
-Nc1cc([C@H](CO)Cc2ccccc2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cnc3[nH]ccc3c2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC1(c2cc(N)nc3[nH]ccc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
-CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 CN(c1cc(N)nc2[nH]ccc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)cc1; [None]; [None]; [0]
 Cc1cc(-c2cc(N)nc3[nH]ccc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cc(N)nc2[nH]ccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
@@ -61600,10 +41586,9 @@ Nc1cc(-n2ccc(CO)n2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-n2cnc(CCO)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 C[C@H](Nc1cc(N)nc2[nH]ccc12)C(C)(C)O; [None]; [None]; [0]
 C[C@@H](Nc1cc(N)nc2[nH]ccc12)C(C)(C)O; [None]; [None]; [0]
+Nc1cc(-c2c(F)cccc2Cl)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-n2ncc3ccccc32)c2cc[nH]c2n1; [None]; [None]; [0]
-NC(=O)c1c(F)cccc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(-n2ncc3c(O)cccc32)c2cc[nH]c2n1; [None]; [None]; [0]
-Nc1cc(-c2cccnc2O)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2ccc(-n3cncn3)cc2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2nc3ccc(O)cc3[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
 CSc1nc(C)c(-c2cc(N)nc3[nH]ccc23)[nH]1; [None]; [None]; [0]
@@ -61618,29 +41603,30 @@ Nc1cc(CS(=O)(=O)NCc2ccccn2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cn(Cc3ccccc3)nn2)c2cc[nH]c2n1; [None]; [None]; [0]
 CCc1cc(-c2cc(N)nc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
 CCCCc1cc(-c2cc(N)nc3[nH]ccc23)nc(N)n1; [None]; [None]; [0]
-Nc1cc(-c2cnc(N)s2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2nnc(N)s2)c2cc[nH]c2n1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cc(N)nc3[nH]ccc23)n1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2cc(N)nc3[nH]ccc23)s1; [None]; [None]; [0]
-COc1cccc(F)c1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 Nc1cc(Oc2ccc(C[NH3+])cc2F)c2cc[nH]c2n1; [None]; [None]; [0]
-CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(N)nc4[nH]ccc34)c2)cc1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cc(N)nc3[nH]ccc23)CC1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cc(N)nc4[nH]ccc34)nc2NC1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)c2cccc(-c3cc(N)nc4[nH]ccc34)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cc(N)nc3[nH]ccc23)n1; [None]; [None]; [0]
 Nc1cc(-c2cccc3ccsc23)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cccc3nnsc23)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cc(N)nc3[nH]ccc23)[nH]1; [None]; [None]; [0]
 Nc1cc(-c2nc(N)c3ccccc3n2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2c[nH]c3cccnc23)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(-c2cn(CCO)cn2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2ncc3cc[nH]c3n2)c2cc[nH]c2n1; [None]; [None]; [0]
 COc1ccc(C#N)cc1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccccc1Cc1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
 COc1ccc(Oc2cc(N)nc3[nH]ccc23)c(F)c1F; [None]; [None]; [0]
 C[C@@]1(O)CC[C@H](c2cc(N)nc3[nH]ccc23)CC1; [None]; [None]; [0]
 COc1ccc(OC)c(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cc(N)nc3[nH]ccc23)n1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cc(N)nc3[nH]ccc23)c1; [None]; [None]; [0]
 CN(C)c1cc(-c2cc(N)nc3[nH]ccc23)cnn1; [None]; [None]; [0]
-Nc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(N2CCC(c3nc4ccccc4[nH]3)CC2)c2cc[nH]c2n1; [None]; [None]; [0]
+Nc1cc(N2CC=C(c3c[nH]c4ccccc34)CC2)c2cc[nH]c2n1; [None]; [None]; [0]
 Nc1cc(-c2cccc(NC(=O)C3CCNCC3)c2)c2cc[nH]c2n1; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 CCOc1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
@@ -61649,7 +41635,9 @@ Cc1nc(C(C)(C)O)sc1Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
 COc1ncccc1Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(Nc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
 COc1cc(Nc2ncnc3cc(Cl)ccc23)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(Nc3ncnc4cc(Cl)ccc34)c2c1; [None]; [None]; [0]
 Clc1ccc2c(Nc3cnc4cccnn34)ncnc2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(Nc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
 Oc1cccc(Nc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
 COc1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 Clc1ccc2c(Nc3ccc(N4CCOCC4)cc3)ncnc2c1; [None]; [None]; [0]
@@ -61657,11 +41645,11 @@ O=C(Nc1cccc(Nc2ncnc3cc(Cl)ccc23)c1)C1CC1; [None]; [None]; [0]
 Clc1ccc2c(Nc3nc4ccccc4[nH]3)ncnc2c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3ncnc4cc(Cl)ccc34)cc2)CC1; [None]; [None]; [0]
 O=C([O-])c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(Nc2ncnc3cc(Cl)ccc23)cn1; [None]; [None]; [0]
+Clc1ccc2c(Nc3nccc4ccccc34)ncnc2c1; [None]; [None]; [0]
 NC(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 Clc1ccc2c(NNc3ncccn3)ncnc2c1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(Nc3ncnc4cc(Cl)ccc34)cn2)c1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
-Clc1ccc2c(NCc3nccc4ccccc34)ncnc2c1; [None]; [None]; [0]
 OCCOc1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 CC(=O)NCc1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 Clc1ccc2c(Nc3cccc(C4CCNCC4)c3)ncnc2c1; [None]; [None]; [0]
@@ -61674,8 +41662,10 @@ O=S1(=O)Cc2ccc(Nc3ncnc4cc(Cl)ccc34)cc2C1; [None]; [None]; [0]
 FC(F)(F)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 CN(C)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
+Oc1ccccc1CNc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
 Cc1nc(C)c(Nc2ncnc3cc(Cl)ccc23)s1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(Nc2ncnc3cc(Cl)ccc23)CC1; [None]; [None]; [0]
+Nc1ncc(CNc2ncnc3cc(Cl)ccc23)cn1; [None]; [None]; [0]
 O=C(c1ccccc1)N1CC[C@H](Nc2ncnc3cc(Cl)ccc23)C1; [None]; [None]; [0]
 CC(C)c1cc(Nc2ncnc3cc(Cl)ccc23)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
@@ -61684,46 +41674,66 @@ CCCOc1ccc(Nc2ncnc3cc(Cl)ccc23)nc1; [None]; [None]; [0]
 Cc1c(Nc2ncnc3cc(Cl)ccc23)cccc1C(=O)[O-]; [None]; [None]; [0]
 Clc1ccc2c(Nc3ccc(Br)cc3)ncnc2c1; [None]; [None]; [0]
 CN(C)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1Cl; [None]; [None]; [0]
+COc1ccc(CNc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
+Clc1ccc2c(Nc3ccn4nccc4n3)ncnc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)c(C)c1; [None]; [None]; [0]
+Clc1ccc2c(Nc3ccccc3-n3cccn3)ncnc2c1; [None]; [None]; [0]
 COc1ccc(Cl)cc1Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
 Clc1ccc2c(Nc3c[nH]c4ccccc34)ncnc2c1; [None]; [None]; [0]
 COc1cc(OC)c(Nc2ncnc3cc(Cl)ccc23)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(Nc3ncnc4cc(Cl)ccc34)[nH]c2c1; [None]; [None]; [0]
 Clc1ccc2c(Nc3ccc4c(c3)CCO4)ncnc2c1; [None]; [None]; [0]
-Clc1ccc2c(Nc3cc4ccccc4cn3)ncnc2c1; [None]; [None]; [0]
 Clc1ccc2c(Nc3cc(-c4ccccc4)[nH]n3)ncnc2c1; [None]; [None]; [0]
 CC(=O)Nc1cccc(Nc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
 COc1cc(Nc2ncnc3cc(Cl)ccc23)ccc1O; [None]; [None]; [0]
 Clc1ccc2c(Nc3cccc4c3OCO4)ncnc2c1; [None]; [None]; [0]
 Clc1ccc2c(Nc3scc4c3OCCO4)ncnc2c1; [None]; [None]; [0]
+Fc1ccc2nc(CNc3ncnc4cc(Cl)ccc34)[nH]c2c1F; [None]; [None]; [0]
+Fc1ccc2[nH]c(CNc3ncnc4cc(Cl)ccc34)nc2c1F; [None]; [None]; [0]
 CC(C)(C)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 Clc1ccc2c(Nc3cnc4ccccc4c3)ncnc2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(Nc2ncnc3cc(Cl)ccc23)cn1; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](Nc2ncnc3cc(Cl)ccc23)CC1; [None]; [None]; [0]
+Clc1ccc2c(NCc3nc4ccccc4[nH]3)ncnc2c1; [None]; [None]; [0]
+Nc1nc(Nc2ncnc3cc(Cl)ccc23)cs1; [None]; [None]; [0]
+Cc1ccc(Nc2ncnc3cc(Cl)ccc23)c(=O)[nH]1; [None]; [None]; [0]
+Clc1ccc2c(NCCCc3ccccc3)ncnc2c1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(Nc3ncnc4cc(Cl)ccc34)n2)c1; [None]; [None]; [0]
 COc1cccc(C(=O)NNc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
+CSc1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
+Clc1ccc2c(Nc3cc4ccccc4s3)ncnc2c1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(Nc3ncnc4cc(Cl)ccc34)cc2)CC1; [None]; [None]; [0]
 Cc1cc(Nc2ncnc3cc(Cl)ccc23)nc(N)n1; [None]; [None]; [0]
-CSc1cccc(Nc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
 CC[C@@H](CO)Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
 Fc1ccc(Nc2ncnc3cc(Cl)ccc23)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(Nc3ncnc4cc(Cl)ccc34)ccc2N1; [None]; [None]; [0]
 Clc1ccc2c(Nc3ncc(Br)cn3)ncnc2c1; [None]; [None]; [0]
 COc1ccc(Nc2ncnc3cc(Cl)ccc23)cc1OC; [None]; [None]; [0]
-Clc1ccc(Nc2ncnc3cc(Cl)ccc23)c(Cl)c1; [None]; [None]; [0]
 CCc1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
-Clc1ccc2c(Nc3cc4ccccn4n3)ncnc2c1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
+Clc1ccc(Nc2ncnc3cc(Cl)ccc23)c(Cl)c1; [None]; [None]; [0]
+Clc1ccc2c(NCCCn3cncn3)ncnc2c1; [None]; [None]; [0]
 Clc1ccc2c(Nc3ncc4cccn4n3)ncnc2c1; [None]; [None]; [0]
 COc1cc(Nc2ncnc3cc(Cl)ccc23)ccc1N1CCOCC1; [None]; [None]; [0]
+Clc1ccc2c(Nc3cc4ccccn4n3)ncnc2c1; [None]; [None]; [0]
 Cn1cc(Nc2ncnc3cc(Cl)ccc23)c(C(F)(F)F)n1; [None]; [None]; [0]
 CC1(C)Cc2cc(Nc3ncnc4cc(Cl)ccc34)ccc2O1; [None]; [None]; [0]
 COc1ccc2cccc(Nc3ncnc4cc(Cl)ccc34)c2c1; [None]; [None]; [0]
 Oc1ccc2cccc(Nc3ncnc4cc(Cl)ccc34)c2c1; [None]; [None]; [0]
 COc1cc(F)c(Nc2ncnc3cc(Cl)ccc23)cc1OC; [None]; [None]; [0]
 COc1cc(Nc2ncnc3cc(Cl)ccc23)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(Nc2ncnc3cc(Cl)ccc23)cn1; [None]; [None]; [0]
 Clc1cnc(Nc2ncnc3cc(Cl)ccc23)nc1; [None]; [None]; [0]
 Cc1csc2c(Nc3ncnc4cc(Cl)ccc34)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 Nc1cc(Nc2ncnc3cc(Cl)ccc23)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)nc1; [None]; [None]; [0]
 COc1cc(Nc2ncnc3cc(Cl)ccc23)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(CNc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](Nc2ncnc3cc(Cl)ccc23)CC1; [None]; [None]; [0]
 CCNC(=O)N1CCC(Nc2ncnc3cc(Cl)ccc23)CC1; [None]; [None]; [0]
@@ -61733,22 +41743,24 @@ COc1ccc2c(c1)c(Nc1ncnc3cc(Cl)ccc13)cn2C; [None]; [None]; [0]
 COc1ccc2oc(Nc3ncnc4cc(Cl)ccc34)cc2c1; [None]; [None]; [0]
 Clc1ccc2c(Nc3ccc4cn[nH]c4c3)ncnc2c1; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
-Clc1ccc2c(Nc3cc(-c4cccnc4)ccn3)ncnc2c1; [None]; [None]; [0]
+CCn1cc(Nc2ncnc3cc(Cl)ccc23)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(Nc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
+Clc1ccc2c(Nc3cc(-c4cccnc4)ccn3)ncnc2c1; [None]; [None]; [0]
 Clc1ccc2c(Nc3cc4ccccc4o3)ncnc2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
+Cn1cc(Br)cc1Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
 Clc1ccc2c(Nc3ncc4sccc4n3)ncnc2c1; [None]; [None]; [0]
 CC(C)c1nn(C)cc1Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(Nc2ncnc3cc(Cl)ccc23)c1)N1CCCC1; [None]; [None]; [0]
 COc1ccc2nc(Nc3ncnc4cc(Cl)ccc34)[nH]c2c1; [None]; [None]; [0]
 FC(F)(F)Oc1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NNc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(Nc3ncnc4cc(Cl)ccc34)[nH]c2c1; [None]; [None]; [0]
 Cn1cc(Nc2ncnc3cc(Cl)ccc23)c2ccccc21; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(Nc3ncnc4cc(Cl)ccc34)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(Nc2ncnc3cc(Cl)ccc23)n1; [None]; [None]; [0]
 Clc1ccc2c(Nc3ncn4c3CCCC4)ncnc2c1; [None]; [None]; [0]
 Cc1cc(Nc2ncnc3cc(Cl)ccc23)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(Nc3ncnc4cc(Cl)ccc34)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(Nc3ncnc4cc(Cl)ccc34)ccc21; [None]; [None]; [0]
 CN(C)c1ccc(Nc2ncnc3cc(Cl)ccc23)cn1; [None]; [None]; [0]
 Cc1n[nH]c2cc(Nc3ncnc4cc(Cl)ccc34)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(Nc3ncnc4cc(Cl)ccc34)cn2)CC1; [None]; [None]; [0]
@@ -61764,297 +41776,1879 @@ COc1cc(N2CCNCC2)ccc1Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
 CNC(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)c(OC)c1; [None]; [None]; [0]
 Cn1nc(Nc2ncnc3cc(Cl)ccc23)cc1C(C)(C)O; [None]; [None]; [0]
 CCNC(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2ncnc3cc(Cl)ccc23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(Nc2ncnc3cc(Cl)ccc23)cc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(Nc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
 C[C@H](CS(C)(=O)=O)Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(Nc2ncnc3cc(Cl)ccc23)c1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1Nc1ncnc2cc(Cl)ccc12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Nc1cc2c(-c3ncc4ccccc4n3)cccc2cn1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+COc1ncccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+COc1cc(-c2cccc3cnc(N)cc23)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cccc4cnc(N)cc34)c2c1; [None]; [None]; [0]
+Nc1cc2c(-c3cnc4cccnn34)cccc2cn1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(O)c3)cccc2cn1; [None]; [None]; [0]
+COc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(N4CCOCC4)cc3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(NC(=O)C4CC4)c3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3nc4ccccc4[nH]3)cccc2cn1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cccc4cnc(N)cc34)cc2)CC1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(C(=O)[O-])cc3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3nccc4ccccc34)cccc2cn1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Nc1cc2c(Nc3ncccn3)cccc2cn1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3cccc4cnc(N)cc34)cn2)c1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(C(=O)Nc4ccccc4)cc3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(OCCO)cc3)cccc2cn1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(C4CCNCC4)c3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(C(=O)N4CCOCC4)cc3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(C(=O)N4CCOCC4)cn3)cccc2cn1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
 Nc1cc2c(-c3ccc4c(c3)CS(=O)(=O)C4)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(C(F)(F)F)cc3)cccc2cn1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Nc1cc2c(Cc3ccccc3O)cccc2cn1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cccc3cnc(N)cc23)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
+Nc1cc2c(Cc3cnc(N)nc3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c([C@H]3CCN(C(=O)c4ccccc4)C3)cccc2cn1; [None]; [None]; [0]
 CC(C)c1cc(-c2cccc3cnc(N)cc23)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cccc4cnc(N)cc34)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cccc3cnc(N)cc23)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(Br)cc3)cccc2cn1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc3cnc(N)cc23)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cc2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Nc1cc2c(-c3ccn4nccc4n3)cccc2cn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)c(C)c1; [None]; [None]; [0]
+Nc1cc2c(-c3ccccc3-n3cccn3)cccc2cn1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3c[nH]c4ccccc34)cccc2cn1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cccc3cnc(N)cc23)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cccc4cnc(N)cc34)[nH]c2c1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc4c(c3)CCO4)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cc(-c4ccccc4)[nH]n3)cccc2cn1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+COc1cc(-c2cccc3cnc(N)cc23)ccc1O; [None]; [None]; [0]
+Nc1cc2c(-c3cccc4c3OCO4)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3scc4c3OCCO4)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(Cc3nc4ccc(F)c(F)c4[nH]3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(Cc3nc4c(F)c(F)ccc4[nH]3)cccc2cn1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Nc1cc2c(-c3cnc4ccccc4c3)cccc2cn1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cccc3cnc(N)cc23)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
+Nc1cc2c(Cc3nc4ccccc4[nH]3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3csc(N)n3)cccc2cn1; [None]; [None]; [0]
+Cc1ccc(-c2cccc3cnc(N)cc23)c(=O)[nH]1; [None]; [None]; [0]
+Nc1cc2c(CCCc3ccccc3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccn(-c4cccc(Cl)c4)n3)cccc2cn1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+CSc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Nc1cc2c(-c3cc4ccccc4s3)cccc2cn1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cccc4cnc(N)cc34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2cccc3cnc(N)cc23)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c([C@H](CO)Cc3ccccc3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(F)cc3Cl)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc4c(c3)CCC(=O)N4)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ncc(Br)cn3)cccc2cn1; [None]; [None]; [0]
+COc1ccc(-c2cccc3cnc(N)cc23)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(Cl)cc3Cl)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(CCCn3cncn3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ncc4cccn4n3)cccc2cn1; [None]; [None]; [0]
+COc1cc(-c2cccc3cnc(N)cc23)ccc1N1CCOCC1; [None]; [None]; [0]
+Nc1cc2c(-c3cc4ccccn4n3)cccc2cn1; [None]; [None]; [0]
+Cn1cc(-c2cccc3cnc(N)cc23)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cccc4cnc(N)cc34)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cccc4cnc(N)cc34)c2c1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc4ccc(O)cc34)cccc2cn1; [None]; [None]; [0]
+COc1cc(F)c(-c2cccc3cnc(N)cc23)cc1OC; [None]; [None]; [0]
+COc1cc(-c2cccc3cnc(N)cc23)ccc1Cl; [None]; [None]; [0]
+Nc1cc2c(-c3cnn(CCO)c3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ncc(Cl)cn3)cccc2cn1; [None]; [None]; [0]
+Cc1csc2c(-c3cccc4cnc(N)cc34)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
 Nc1cc2c(-c3cc(N)nc4[nH]ccc34)cccc2cn1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc3cnc(N)cc23)nc1; [None]; [None]; [0]
+COc1cc(-c2cccc3cnc(N)cc23)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
 Nc1cc2c(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cccc2cn1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cccc3cnc(N)cc13)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cccc4cnc(N)cc34)cc2c1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc4cn[nH]c4c3)cccc2cn1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CCn1cc(-c2cccc3cnc(N)cc23)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+Nc1cc2c(-c3cc(-c4cccnc4)ccn3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cc4ccccc4o3)cccc2cn1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3ncc4sccc4n3)cccc2cn1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(NC(=O)N4CCCC4)c3)cccc2cn1; [None]; [None]; [0]
+COc1ccc2nc(-c3cccc4cnc(N)cc34)[nH]c2c1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(OC(F)(F)F)cc3)cccc2cn1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+Cn1cc(-c2cccc3cnc(N)cc23)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cccc4cnc(N)cc34)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2cccc3cnc(N)cc23)n1; [None]; [None]; [0]
 Nc1cc2c(-c3ncn4c3CCCC4)cccc2cn1; [None]; [None]; [0]
+Cc1cc(-c2cccc3cnc(N)cc23)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3cccc4cnc(N)cc34)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3cccc4cnc(N)cc34)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cccc3cnc(N)cc23)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cccc4cnc(N)cc34)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cccc4cnc(N)cc34)cn2)CC1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(N4CCCC4=O)c3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(CCO)cc3)cccc2cn1; [None]; [None]; [0]
 Nc1cc2c(NC(=O)c3cccc(OC(F)(F)F)c3)cccc2cn1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3cnc(N)cc23)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cccc4cnc(N)cc34)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3cnc(N)cc23)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cccc3cnc(N)cc23)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cccc3cnc(N)cc23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1cccc2cnc(N)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+CCOc1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+COC(C)(C)CCc1cccc2cnc(N)cc12; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cccc3cnc(N)cc23)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(Cc3cc(F)cc(F)c3)cccc2cn1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3ccnc4ccccc34)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(C(F)(F)F)c3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccccc3OC(F)(F)F)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccccc3C(=O)[O-])cccc2cn1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3cnn(Cc4ccccc4)c3)cccc2cn1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cccc4cnc(N)cc34)cc2c1=O; [None]; [None]; [0]
+Nc1cc2c(-c3cnc(-c4ccccc4)[nH]3)cccc2cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cccc3cnc(N)cc23)cs1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(NC(=O)c4ccccc4)c3)cccc2cn1; [None]; [None]; [0]
 Nc1cc2c(-n3ncc4cccc(F)c4c3=O)cccc2cn1; [None]; [None]; [0]
+COc1cnc(-c2cccc3cnc(N)cc23)nc1; [None]; [None]; [0]
+Nc1cc2c(-c3cc(Cl)ccc3Cl)cccc2cn1; [None]; [None]; [0]
+CC(C)C(=O)COc1cccc2cnc(N)cc12; [None]; [None]; [0]
+Cc1ccc(-c2cccc3cnc(N)cc23)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3cnc4ccccn34)cccc2cn1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cccc3cnc(N)cc23)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3c(Cl)cccc3Cl)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(Cn4cncn4)c3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(Br)c3)cccc2cn1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+Nc1cc2c(NCc3cccnc3)cccc2cn1; [None]; [None]; [0]
 Cc1c(-c2cccc3cnc(N)cc23)sc(=O)n1C; [None]; [None]; [0]
+Nc1cc2c(-c3ccnc(N)n3)cccc2cn1; [None]; [None]; [0]
 Nc1cc2c(-c3cnn4ncccc34)cccc2cn1; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2cccc3cnc(N)cc23)o1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc4ccccc4c3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(Nc3cccnc3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-n3cnc4ccccc43)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(NCCc3c[nH]cn3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(NC(=O)c3cccs3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(CC(=O)[O-])c3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3c[nH]nc3C(F)(F)F)cccc2cn1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3cncc4ccccc34)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(NCCc3ccccc3)cccc2cn1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cccc4cnc(N)cc34)cc2)cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc4c(N)[nH]nc4c3)cccc2cn1; [None]; [None]; [0]
 CN1c2ccc(-c3cccc4cnc(N)cc34)cc2CS1(=O)=O; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(-c4cn[nH]c4)cc3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(NCc3ccc(Cl)cc3)cccc2cn1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc3cnc(N)cc23)n1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc(CO)c3)cccc2cn1; [None]; [None]; [0]
 COc1cc(-c2cccc3cnc(N)cc23)ccc1C(=O)[O-]; [None]; [None]; [0]
+Nc1cc2c(Nc3ccncc3)cccc2cn1; [None]; [None]; [0]
 CC(C)n1cc(-c2cccc3cnc(N)cc23)nn1; [None]; [None]; [0]
+Nc1cc2c(NCc3ccccc3F)cccc2cn1; [None]; [None]; [0]
+CSc1nc(-c2cccc3cnc(N)cc23)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
 Nc1cc2c(CCc3c[nH]nn3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3csc4ncncc34)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cc4ccccc4[nH]3)cccc2cn1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+Nc1cc2c(-c3cncnc3N)cccc2cn1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cccc4cnc(N)cc34)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(F)cc3C(F)(F)F)cccc2cn1; [None]; [None]; [0]
+NC(=O)CCCc1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(Oc3ccccn3)cccc2cn1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1cccc2cnc(N)cc12; [None]; [None]; [0]
 Nc1cc2c(NC(=O)c3c(Cl)cccc3Cl)cccc2cn1; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
 CC(C)(COc1cccc2cnc(N)cc12)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2cccc3cnc(N)cc23)cc1Cl; [None]; [None]; [0]
+Nc1cc2c(-c3cnn4ccccc34)cccc2cn1; [None]; [None]; [0]
 Nc1cc2c(-c3ccc(C[NH3+])c(C(F)(F)F)c3)cccc2cn1; [None]; [None]; [0]
-Nc1cc2c(-c3cc4c(=O)[nH]cc(Br)c4s3)cccc2cn1; [None]; [None]; [0]
+CCCn1cc(-c2cccc3cnc(N)cc23)cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cc[nH]c(=O)c3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc4c3C(=O)CC4)cccc2cn1; [None]; [None]; [0]
+COc1cc(CCc2cccc3cnc(N)cc23)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
 C[C@@H](Oc1cccc2cnc(N)cc12)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CCN(CC)c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3cc4c(=O)[nH]ccc4o3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cc4c(=O)[nH]cc(Br)c4s3)cccc2cn1; [None]; [None]; [0]
+COc1ccncc1Nc1cccc2cnc(N)cc12; [None]; [None]; [0]
 Nc1cc2c(Nc3cnccc3-c3ccccc3)cccc2cn1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(Nc3cnc4ccccc4c3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3c[nH]c4cnccc34)cccc2cn1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3cnc4[nH]ccc4c3)cccc2cn1; [None]; [None]; [0]
+CC1(c2cccc3cnc(N)cc23)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1cccc2cnc(N)cc12)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cccc3cnc(N)cc23)cc1; [None]; [None]; [0]
+Cc1cc(-c2cccc3cnc(N)cc23)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1cccc2cnc(N)cc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Nc1cc2c(-n3ccc(CO)n3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-n3cnc(CCO)c3)cccc2cn1; [None]; [None]; [0]
+C[C@H](Nc1cccc2cnc(N)cc12)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1cccc2cnc(N)cc12)C(C)(C)O; [None]; [None]; [0]
+Nc1cc2c(-c3c(F)cccc3Cl)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-n3ncc4ccccc43)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-n3ncc4c(O)cccc43)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(-n4cncn4)cc3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3nc4ccc(O)cc4[nH]3)cccc2cn1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cccc3cnc(N)cc23)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cccc3cnc(N)cc23)c(OC)c1; [None]; [None]; [0]
+Nc1cc2c(-c3ccc(C(=O)c4ccccc4)cc3)cccc2cn1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+Nc1cc2c(-c3nncn3C3CC3)cccc2cn1; [None]; [None]; [0]
 Nc1cc2c(-c3ccn(CC[NH3+])n3)cccc2cn1; [None]; [None]; [0]
 Nc1cc2c(Cc3nnc4ccc(-c5ccccc5)nn34)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(CCC(=O)NCc3ccccn3)cccc2cn1; [None]; [None]; [0]
 Nc1cc2c(CS(=O)(=O)NCc3ccccn3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cn(Cc4ccccc4)nn3)cccc2cn1; [None]; [None]; [0]
+CCc1cc(-c2cccc3cnc(N)cc23)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cccc3cnc(N)cc23)nc(N)n1; [None]; [None]; [0]
+Nc1cc2c(-c3nnc(N)s3)cccc2cn1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cccc3cnc(N)cc23)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cccc3cnc(N)cc23)s1; [None]; [None]; [0]
 Nc1cc2c(Oc3ccc(C[NH3+])cc3F)cccc2cn1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
+Nc1cc2c(-c3nc4ccccc4s3)cccc2cn1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cccc4cnc(N)cc34)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cccc4cnc(N)cc34)c2)cc1; [None]; [None]; [0]
-COc1ccc(Oc2cccc3cnc(N)cc23)c(F)c1F; [None]; [None]; [0]
+Nc1cc2c(-c3cncc(N)n3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cccc4ccsc34)cccc2cn1; [None]; [None]; [0]
 Nc1cc2c(-c3cccc4nnsc34)cccc2cn1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cccc3cnc(N)cc23)n1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc3cnc(N)cc23)[nH]1; [None]; [None]; [0]
+Nc1cc2c(-c3nc(N)c4ccccc4n3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3c[nH]c4cccnc34)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3cn(CCO)cn3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(-c3ncc4cc[nH]c4n3)cccc2cn1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cccc2cnc(N)cc12; [None]; [None]; [0]
+COc1ccc(Oc2cccc3cnc(N)cc23)c(F)c1F; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cccc3cnc(N)cc23)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cccc3cnc(N)cc23)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc3cnc(N)cc23)cnn1; [None]; [None]; [0]
+Nc1cc2c(N3CCC(c4nc5ccccc5[nH]4)CC3)cccc2cn1; [None]; [None]; [0]
+Nc1cc2c(N3CC=C(c4c[nH]c5ccccc45)CC3)cccc2cn1; [None]; [None]; [0]
 Nc1cc2c(-c3cccc(NC(=O)C4CCNCC4)c3)cccc2cn1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
+CCOc1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2cncc(O)n2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
+COc1ccc(F)cc1[C@@H](C)c1cncc(O)n1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2ccnc3ccccc23)n1; [None]; [None]; [0]
+CCn1cc(-c2cncc(O)n2)cn1; [None]; [None]; [0]
+Oc1cncc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
+Oc1cncc(-c2ccccc2OC(F)(F)F)n1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2cnn(Cc3ccccc3)c2)n1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3cncc(O)n3)cc2c1=O; [None]; [None]; [0]
+Oc1cncc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
+N[C@H](c1cncc(O)n1)c1ccco1; [None]; [None]; [0]
+OCCn1cc(-c2cncc(O)n2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cncc(O)n2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cncc(O)n2)c1)c1ccccc1; [None]; [None]; [0]
+COc1cnc(-c2cncc(O)n2)nc1; [None]; [None]; [0]
+Oc1cncc(-c2cc(Cl)ccc2Cl)n1; [None]; [None]; [0]
+Cc1ccc(-c2cncc(O)n2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
+Cc1nc(C)c(-c2cncc(O)n2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2cncc(O)n2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+Oc1cncc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
+Oc1cncc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
+Oc1cncc(-c2cccc(Br)c2)n1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2cncc(O)n2)c1; [None]; [None]; [0]
 Cc1c(-c2cncc(O)n2)sc(=O)n1C; [None]; [None]; [0]
+Nc1nccc(-c2cncc(O)n2)n1; [None]; [None]; [0]
 Oc1cncc(-c2cnn3ncccc23)n1; [None]; [None]; [0]
+Oc1cncc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
+CC(C)(C)c1cnc(Cc2cncc(O)n2)o1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
+Oc1cncc(-c2c[nH]nc2C(F)(F)F)n1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2cncc3ccccc23)n1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3cncc(O)n3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3cncc(O)n3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3cncc(O)n3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3cncc(O)n3)ccc21; [None]; [None]; [0]
+Oc1cncc(-c2ccc(-c3cn[nH]c3)cc2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cncc(O)n2)n1; [None]; [None]; [0]
+Oc1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
+OCc1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
 COc1cc(-c2cncc(O)n2)ccc1C(=O)[O-]; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2cncc(O)n2)cc1C(F)(F)F; [None]; [None]; [0]
 CC(C)n1cc(-c2cncc(O)n2)nn1; [None]; [None]; [0]
+CSc1nc(-c2cncc(O)n2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2csc3ncncc23)n1; [None]; [None]; [0]
+Oc1cncc(-c2cc3ccccc3[nH]2)n1; [None]; [None]; [0]
+N#CCCc1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
+Nc1ncncc1-c1cncc(O)n1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3cncc(O)n3)cc2s1; [None]; [None]; [0]
+CC[C@H](CO)c1cncc(O)n1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+Oc1cncc(-c2ccc(F)cc2C(F)(F)F)n1; [None]; [None]; [0]
+Oc1cncc(Cc2c(F)cccc2F)n1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
+Cn1cc(-c2cncc(O)n2)c2ccccc21; [None]; [None]; [0]
+COc1ccc(-c2cncc(O)n2)cc1Cl; [None]; [None]; [0]
+Oc1cncc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2cncc(O)n2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2cncc(O)n2)cn1; [None]; [None]; [0]
+O=c1cc(-c2cncc(O)n2)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3cncc(O)n3)c21; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Cc2cncc(O)n2)c1; [None]; [None]; [0]
+CN(c1ncccc1Cc1cncc(O)n1)S(C)(=O)=O; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1cncc(O)n1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3cncc(O)n3)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3cncc(O)n3)cc12; [None]; [None]; [0]
-Cn1cc(C(N)=O)cc1-c1cncc(O)n1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2cncc(O)n2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+OC[C@H](c1ccccc1)c1cncc(O)n1; [None]; [None]; [0]
+COc1cccc(F)c1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1cncc(O)n1; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
+CC1(c2cncc(O)n2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+Oc1cncc(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+Cc1cc(-c2cncc(O)n2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Oc1cncc(-c2c(F)cccc2Cl)n1; [None]; [None]; [0]
+Oc1cncc(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
+CSc1nc(C)c(-c2cncc(O)n2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2cncc(O)n2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cncc(O)n2)n1; [None]; [None]; [0]
+Oc1cncc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
+CCc1cc(-c2cncc(O)n2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2cncc(O)n2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2cncc(O)n2)s1; [None]; [None]; [0]
+Cn1cc(C(N)=O)cc1-c1cncc(O)n1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2cncc(O)n2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cncc(O)n2)s1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2cncc(O)n2)CC1; [None]; [None]; [0]
+Oc1cncc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3cncc(O)n3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3cncc(O)n3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2cncc(O)n2)n1; [None]; [None]; [0]
+Oc1cncc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
 Oc1cncc(-c2cccc3nnsc23)n1; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2cncc(O)n2)n1; [None]; [None]; [0]
+O=C(NCCCc1cncc(O)n1)c1cccs1; [None]; [None]; [0]
 O=C(NCCCc1cncc(O)n1)C1CCC1; [None]; [None]; [0]
-O=C(Nc1cccc(-c2cncc(O)n2)c1)C1CCNCC1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cncc(O)n2)[nH]1; [None]; [None]; [0]
+Oc1cncc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
+Oc1cncc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
+OCCn1cnc(-c2cncc(O)n2)c1; [None]; [None]; [0]
+Oc1cncc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1cncc(O)n1; [None]; [None]; [0]
+CS(=O)(=O)Nc1ccccc1Cc1cncc(O)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2cncc(O)n2)c1; [None]; [None]; [0]
+COc1ncccc1-c1cncc(O)n1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cncc(O)n2)cnn1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1cncc(O)n1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
+COc1cc(-c2cncc(O)n2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3cncc(O)n3)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2cncc(O)n2)c1; [None]; [None]; [0]
+COc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cncc(O)n2)c1)C1CC1; [None]; [None]; [0]
+Oc1cncc(-c2nc3ccccc3[nH]2)n1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3cncc(O)n3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2cncc(O)n2)sn1; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+Oc1cncc(-c2nccc3ccccc23)n1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+Oc1cncc(Nc2ncccn2)n1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3cncc(O)n3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+Oc1cncc(-c2cccc(C3CCNCC3)c2)n1; [None]; [None]; [0]
+O=C(c1ccc(-c2cncc(O)n2)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2cncc(O)n2)nc1)N1CCOCC1; [None]; [None]; [0]
+Oc1cncc(Nc2ccncn2)n1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3cncc(O)n3)cc2C1; [None]; [None]; [0]
+Oc1cncc(-c2ccc(C(F)(F)F)cc2)n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2cncc(O)n2)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2cncc(O)n2)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2cncc(O)n2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3cncc(O)n3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2cncc(O)n2)nc1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1-c1cncc(O)n1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2ccc(Br)cc2)n1; [None]; [None]; [0]
+CN(C)c1ccc(-c2cncc(O)n2)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+Oc1cncc(-c2ccn3nccc3n2)n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cncc(O)n2)c(C)c1; [None]; [None]; [0]
+Oc1cncc(-c2ccccc2-n2cccn2)n1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2c[nH]c3ccccc23)n1; [None]; [None]; [0]
+COc1cc(OC)c(-c2cncc(O)n2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3cncc(O)n3)[nH]c2c1; [None]; [None]; [0]
-Oc1cncc(Cc2nc3c(F)c(F)ccc3[nH]2)n1; [None]; [None]; [0]
+Oc1cncc(-c2ccc3c(c2)CCO3)n1; [None]; [None]; [0]
+Oc1cncc(-c2cc(-c3ccccc3)[nH]n2)n1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1cncc(O)n1; [None]; [None]; [0]
+COc1cc(-c2cncc(O)n2)ccc1O; [None]; [None]; [0]
+Oc1cncc(-c2cccc3c2OCO3)n1; [None]; [None]; [0]
+Oc1cncc(-c2scc3c2OCCO3)n1; [None]; [None]; [0]
+Oc1cncc(-c2cnc3ccccc3c2)n1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2cncc(O)n2)cn1; [None]; [None]; [0]
+Nc1nc(-c2cncc(O)n2)cs1; [None]; [None]; [0]
+Oc1cncc(-c2ccn(-c3cccc(Cl)c3)n2)n1; [None]; [None]; [0]
+CC1(COc2cncc(O)n2)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2cncc(O)n2)c1; [None]; [None]; [0]
+CSc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+Oc1cncc(-c2cc3ccccc3s2)n1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3cncc(O)n3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2cncc(O)n2)nc(N)n1; [None]; [None]; [0]
+Oc1cncc(-c2ccc(F)cc2Cl)n1; [None]; [None]; [0]
+O=C1CCc2cc(-c3cncc(O)n3)ccc2N1; [None]; [None]; [0]
+Oc1cncc(-c2ncc(Br)cn2)n1; [None]; [None]; [0]
+COc1ccc(-c2cncc(O)n2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+COc1ccc(CNc2cncc(O)n2)cc1; [None]; [None]; [0]
+Oc1cncc(-c2ccc(Cl)cc2Cl)n1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2cncc(O)n2)C1; [None]; [None]; [0]
+Oc1cncc(-c2ncc3cccn3n2)n1; [None]; [None]; [0]
+COc1cc(-c2cncc(O)n2)ccc1N1CCOCC1; [None]; [None]; [0]
+Oc1cncc(-c2cc3ccccn3n2)n1; [None]; [None]; [0]
+Cn1cc(-c2cncc(O)n2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3cncc(O)n3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3cncc(O)n3)c2c1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3cncc(O)n3)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2cncc(O)n2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2cncc(O)n2)ccc1Cl; [None]; [None]; [0]
+Oc1cncc(-c2ncc(Cl)cn2)n1; [None]; [None]; [0]
+Cc1csc2c(-c3cncc(O)n3)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2cncc(O)n2)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2cncc(O)n2)nn1C; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
 Nc1cc(-c2cncc(O)n2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cncc(O)n2)nc1; [None]; [None]; [0]
+COc1cc(-c2cncc(O)n2)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1cncc(O)n1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2cncc(O)n2)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2cncc(O)n2)cc1; [None]; [None]; [0]
+O=C(Nc1cncc(O)n1)c1ccco1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2cncc(O)n2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2cncc(O)n2)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cncc(O)n2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1cncc(O)n1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3cncc(O)n3)cc2c1; [None]; [None]; [0]
+Oc1cncc(-c2ccc3cn[nH]c3c2)n1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2cncc(O)n2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2cncc(O)n2)c1; [None]; [None]; [0]
+Oc1cncc(-c2cc(-c3cccnc3)ccn2)n1; [None]; [None]; [0]
+Oc1cncc(-c2cc3ccccc3o2)n1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1cncc(O)n1; [None]; [None]; [0]
+Oc1cncc(-c2ncc3sccc3n2)n1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1cncc(O)n1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cncc(O)n2)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3cncc(O)n3)[nH]c2c1; [None]; [None]; [0]
+Oc1cncc(-c2ccc(OC(F)(F)F)cc2)n1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2cncc(O)n2)c1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3cncc(O)n3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2cncc(O)n2)n1; [None]; [None]; [0]
 Oc1cncc(-c2ncn3c2CCCC3)n1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)Nc2cncc(O)n2)c1; [None]; [None]; [0]
+Cc1cc(-c2cncc(O)n2)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3cncc(O)n3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2cncc(O)n2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3cncc(O)n3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3cncc(O)n3)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2cncc(O)n2)c1; [None]; [None]; [0]
+OCCc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
 O=C(Nc1cncc(O)n1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cncc(O)n2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3cncc(O)n3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1cncc(O)n1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1cncc(O)n1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1cncc(O)n1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1cncc(O)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cncc(O)n2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2cncc(O)n2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2cncc(O)n2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2cncc(O)n2)cc1; [None]; [None]; [0]
+Oc1cncc(Nc2ccc(F)cn2)n1; [None]; [None]; [0]
 Cc1cc(Nc2cncc(O)n2)ncc1F; [None]; [None]; [0]
+Oc1cncc(Nc2ccccn2)n1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2cncc(O)n2)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2cncc(O)n2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1cncc(O)n1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CCOc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+c1ccc2nc(Nc3cc(C4CCC4)[nH]n3)ncc2c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+COc1ncccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+COc1cc(Nc2cc(C3CCC3)[nH]n2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(Nc3cc(C4CCC4)[nH]n3)c2c1; [None]; [None]; [0]
+c1cnn2c(Nc3cc(C4CCC4)[nH]n3)cnc2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+Oc1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+COc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+c1cc(N2CCOCC2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2cc(C3CCC3)[nH]n2)c1)C1CC1; [None]; [None]; [0]
+c1ccc2[nH]c(Nc3cc(C4CCC4)[nH]n3)nc2c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(Nc3cc(C4CCC4)[nH]n3)cc2)CC1; [None]; [None]; [0]
+O=C([O-])c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+c1ccc2c(Nc3cc(C4CCC4)[nH]n3)nccc2c1; [None]; [None]; [0]
+NC(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+c1cnc(NNc2cc(C3CCC3)[nH]n2)nc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(Nc3cc(C4CCC4)[nH]n3)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+OCCOc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+c1cc(Nc2cc(C3CCC3)[nH]n2)cc(C2CCNCC2)c1; [None]; [None]; [0]
+O=C(c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(Nc2cc(C3CCC3)[nH]n2)nc1)N1CCOCC1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(Nc3cc(C4CCC4)[nH]n3)cc2C1; [None]; [None]; [0]
+FC(F)(F)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+Oc1ccccc1CNc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+Cc1nc(C)c(Nc2cc(C3CCC3)[nH]n2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
+Nc1ncc(CNc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](Nc2cc(C3CCC3)[nH]n2)C1; [None]; [None]; [0]
 CC(C)c1cc(Nc2cc(C3CCC3)[nH]n2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(Nc3cc(C4CCC4)[nH]n3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(Nc2cc(C3CCC3)[nH]n2)nc1; [None]; [None]; [0]
+Cc1c(Nc2cc(C3CCC3)[nH]n2)cccc1C(=O)[O-]; [None]; [None]; [0]
+Brc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1Cl; [None]; [None]; [0]
+COc1ccc(CNc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+c1cc2nc(Nc3cc(C4CCC4)[nH]n3)ccn2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+c1ccc2c(Nc3cc(C4CCC4)[nH]n3)c[nH]c2c1; [None]; [None]; [0]
+COc1cc(OC)c(Nc2cc(C3CCC3)[nH]n2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(Nc3cc(C4CCC4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
-Nc1cc(Nc2cc(C3CCC3)[nH]n2)c2cc[nH]c2n1; [None]; [None]; [0]
+c1cc2c(cc1Nc1cc(C3CCC3)[nH]n1)CCO2; [None]; [None]; [0]
+c1ccc(-c2cc(Nc3cc(C4CCC4)[nH]n3)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+COc1cc(Nc2cc(C3CCC3)[nH]n2)ccc1O; [None]; [None]; [0]
+c1cc(Nc2cc(C3CCC3)[nH]n2)c2c(c1)OCO2; [None]; [None]; [0]
+c1c(Nc2scc3c2OCCO3)n[nH]c1C1CCC1; [None]; [None]; [0]
+Fc1ccc2nc(CNc3cc(C4CCC4)[nH]n3)[nH]c2c1F; [None]; [None]; [0]
+Fc1ccc2[nH]c(CNc3cc(C4CCC4)[nH]n3)nc2c1F; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+c1ccc2ncc(Nc3cc(C4CCC4)[nH]n3)cc2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
+c1ccc2[nH]c(CNc3cc(C4CCC4)[nH]n3)nc2c1; [None]; [None]; [0]
+Nc1nc(Nc2cc(C3CCC3)[nH]n2)cs1; [None]; [None]; [0]
+Cc1ccc(Nc2cc(C3CCC3)[nH]n2)c(=O)[nH]1; [None]; [None]; [0]
+c1ccc(CCCNc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(Nc3cc(C4CCC4)[nH]n3)n2)c1; [None]; [None]; [0]
+COc1cccc(C(=O)NNc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+CSc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+c1ccc2sc(Nc3cc(C4CCC4)[nH]n3)cc2c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(Nc3cc(C4CCC4)[nH]n3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2cc(C3CCC3)[nH]n2)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+OC[C@H](Cc1ccccc1)Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+Fc1ccc(Nc2cc(C3CCC3)[nH]n2)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(Nc3cc(C4CCC4)[nH]n3)ccc2N1; [None]; [None]; [0]
+Brc1cnc(Nc2cc(C3CCC3)[nH]n2)nc1; [None]; [None]; [0]
+COc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1OC; [None]; [None]; [0]
+CCc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+Clc1ccc(Nc2cc(C3CCC3)[nH]n2)c(Cl)c1; [None]; [None]; [0]
+c1ncn(CCCNc2cc(C3CCC3)[nH]n2)n1; [None]; [None]; [0]
+c1cc2cnc(Nc3cc(C4CCC4)[nH]n3)nn2c1; [None]; [None]; [0]
+COc1cc(Nc2cc(C3CCC3)[nH]n2)ccc1N1CCOCC1; [None]; [None]; [0]
+c1ccn2nc(Nc3cc(C4CCC4)[nH]n3)cc2c1; [None]; [None]; [0]
+Cn1cc(Nc2cc(C3CCC3)[nH]n2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(Nc3cc(C4CCC4)[nH]n3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(Nc3cc(C4CCC4)[nH]n3)c2c1; [None]; [None]; [0]
+Oc1ccc2cccc(Nc3cc(C4CCC4)[nH]n3)c2c1; [None]; [None]; [0]
+COc1cc(F)c(Nc2cc(C3CCC3)[nH]n2)cc1OC; [None]; [None]; [0]
+COc1cc(Nc2cc(C3CCC3)[nH]n2)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(Nc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
+Clc1cnc(Nc2cc(C3CCC3)[nH]n2)nc1; [None]; [None]; [0]
+Cc1csc2c(Nc3cc(C4CCC4)[nH]n3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+Nc1cc(Nc2cc(C3CCC3)[nH]n2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)nc1; [None]; [None]; [0]
+COc1cc(Nc2cc(C3CCC3)[nH]n2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(CNc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(Nc2cc(C3CCC3)[nH]n2)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+COc1cc(Nc2cc(C3CCC3)[nH]n2)cc(OC)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(Nc1cc(C3CCC3)[nH]n1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(Nc3cc(C4CCC4)[nH]n3)cc2c1; [None]; [None]; [0]
+c1cc2cn[nH]c2cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CCn1cc(Nc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(Nc3cc(C4CCC4)[nH]n3)c2)c1; [None]; [None]; [0]
+c1ccc2oc(Nc3cc(C4CCC4)[nH]n3)cc2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+c1cc2nc(Nc3cc(C4CCC4)[nH]n3)ncc2s1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2cc(C3CCC3)[nH]n2)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(Nc3cc(C4CCC4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NNc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+Cn1cc(Nc2cc(C3CCC3)[nH]n2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(Nc3cc(C4CCC4)[nH]n3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(Nc2cc(C3CCC3)[nH]n2)n1; [None]; [None]; [0]
 c1c(Nc2ncn3c2CCCC3)n[nH]c1C1CCC1; [None]; [None]; [0]
+Cc1cc(Nc2cc(C3CCC3)[nH]n2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(Nc3cc(C4CCC4)[nH]n3)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(Nc3cc(C4CCC4)[nH]n3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(Nc2cc(C3CCC3)[nH]n2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(Nc3cc(C4CCC4)[nH]n3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(Nc3cc(C4CCC4)[nH]n3)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+OCCc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
 O=C(NNc1cc(C2CCC2)[nH]n1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(Nc3cc(C4CCC4)[nH]n3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)c(OC)c1; [None]; [None]; [0]
 Cn1nc(Nc2cc(C3CCC3)[nH]n2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Nc2cc(C3CCC3)[nH]n2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(Nc2cc(C3CCC3)[nH]n2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(Nc2cc(C3CCC3)[nH]n2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1Nc1cc(C2CCC2)[nH]n1; [None]; [None]; [0]
+CNC(=O)c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+COC(C)(C)CCc1ccc2nn[nH]c2c1; [None]; [None]; [0]
+Cc1nnc(-c2ccccc2-c2ccc3nn[nH]c3c2)[nH]1; [None]; [None]; [0]
+CC(C)S(=O)(=O)c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+Fc1cc(F)cc(Cc2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+CP(C)(=O)c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1ccc2c(-c3ccc4nn[nH]c4c3)ccnc2c1; [None]; [None]; [0]
+CCn1cc(-c2ccc3nn[nH]c3c2)cn1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+O=C([O-])c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4nn[nH]c4c3)cn2)cc1; [None]; [None]; [0]
+Cn1cnc2ccc(-c3ccc4nn[nH]c4c3)cc2c1=O; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3ccc4nn[nH]c4c3)[nH]2)cc1; [None]; [None]; [0]
+OCCn1cc(-c2ccc3nn[nH]c3c2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccc3nn[nH]c3c2)cs1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccc3nn[nH]c3c2)c1)c1ccccc1; [None]; [None]; [0]
 O=c1c2c(F)cccc2cnn1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+COc1cnc(-c2ccc3nn[nH]c3c2)nc1; [None]; [None]; [0]
+Clc1ccc(Cl)c(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+CC(C)C(=O)COc1ccc2nn[nH]c2c1; [None]; [None]; [0]
+Cc1ccc(-c2ccc3nn[nH]c3c2)c(Br)c1; [None]; [None]; [0]
+Cc1nc2ccccn2c1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1ccn2c(-c3ccc4nn[nH]c4c3)cnc2c1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccc3nn[nH]c3c2)s1; [None]; [None]; [0]
+CNc1nc(C)c(-c2ccc3nn[nH]c3c2)s1; [None]; [None]; [0]
+Cc1nc(N)sc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1cnn2c(-c3ccc4nn[nH]c4c3)cnc2c1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1cc(Cn2cncn2)cc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+Brc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+Cc1ccc(Cl)c(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+c1cncc(CNc2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
 Cc1c(-c2ccc3nn[nH]c3c2)sc(=O)n1C; [None]; [None]; [0]
-CC(C)(C)c1cnc(Cc2ccc3nn[nH]c3c2)o1; [None]; [None]; [0]
+Nc1nccc(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
 c1cnn2ncc(-c3ccc4nn[nH]c4c3)c2c1; [None]; [None]; [0]
+c1ccc2cc(-c3ccc4nn[nH]c4c3)ccc2c1; [None]; [None]; [0]
+c1cncc(Nc2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+c1ccc2c(c1)ncn2-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1nc(CCNc2ccc3nn[nH]c3c2)c[nH]1; [None]; [None]; [0]
+O=C(Nc1ccc2nn[nH]c2c1)c1cccs1; [None]; [None]; [0]
+O=C([O-])Cc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+FC(F)(F)c1n[nH]cc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+NC(=O)c1c(F)cccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1ccc2c(-c3ccc4nn[nH]c4c3)cncc2c1; [None]; [None]; [0]
+c1ccc(CCNc2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(-c3ccc4nn[nH]c4c3)cc2)cn1; [None]; [None]; [0]
+Nc1[nH]nc2cc(-c3ccc4nn[nH]c4c3)ccc12; [None]; [None]; [0]
 CN1c2ccc(-c3ccc4nn[nH]c4c3)cc2CS1(=O)=O; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4nn[nH]c4c3)ccc21; [None]; [None]; [0]
+c1cc(-c2ccc3nn[nH]c3c2)ccc1-c1cn[nH]c1; [None]; [None]; [0]
+Clc1ccc(CNc2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
+Oc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+OCc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
 COc1cc(-c2ccc3nn[nH]c3c2)ccc1C(=O)[O-]; [None]; [None]; [0]
+c1cc(Nc2ccc3nn[nH]c3c2)ccn1; [None]; [None]; [0]
 CC(C)n1cc(-c2ccc3nn[nH]c3c2)nn1; [None]; [None]; [0]
+Fc1ccccc1CNc1ccc2nn[nH]c2c1; [None]; [None]; [0]
+CSc1nc(-c2ccc3nn[nH]c3c2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
 c1cc2nn[nH]c2cc1CCc1c[nH]nn1; [None]; [None]; [0]
+c1ncc2c(-c3ccc4nn[nH]c4c3)csc2n1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3ccc4nn[nH]c4c3)cc2c1; [None]; [None]; [0]
+N#CCCc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+Nc1nc(-c2ccc3nn[nH]c3c2)cs1; [None]; [None]; [0]
+Nc1ncncc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccc4nn[nH]c4c3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+Fc1ccc(-c2ccc3nn[nH]c3c2)c(C(F)(F)F)c1; [None]; [None]; [0]
+NC(=O)CCCc1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1ccc(Oc2ccc3nn[nH]c3c2)nc1; [None]; [None]; [0]
 CC(C)(O)CC(=O)NCCc1ccc2nn[nH]c2c1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
 O=C(Nc1ccc2nn[nH]c2c1)c1c(Cl)cccc1Cl; [None]; [None]; [0]
-[NH3+]Cc1ccc(-c2ccc3nn[nH]c3c2)cc1C(F)(F)F; [None]; [None]; [0]
+Cn1cc(-c2ccc3nn[nH]c3c2)c2ccccc21; [None]; [None]; [0]
+CS(=O)(=O)C1CCN(c2ccc3nn[nH]c3c2)CC1; [None]; [None]; [0]
 CC(C)(COc1ccc2nn[nH]c2c1)S(C)(=O)=O; [None]; [None]; [0]
+COc1ccc(-c2ccc3nn[nH]c3c2)cc1Cl; [None]; [None]; [0]
+c1ccn2ncc(-c3ccc4nn[nH]c4c3)c2c1; [None]; [None]; [0]
+[NH3+]Cc1ccc(-c2ccc3nn[nH]c3c2)cc1C(F)(F)F; [None]; [None]; [0]
+CCCn1cc(-c2ccc3nn[nH]c3c2)cn1; [None]; [None]; [0]
+O=c1cc(-c2ccc3nn[nH]c3c2)cc[nH]1; [None]; [None]; [0]
+O=C1CCc2cccc(-c3ccc4nn[nH]c4c3)c21; [None]; [None]; [0]
+COc1cc(CCc2ccc3nn[nH]c3c2)cc(OC)c1; [None]; [None]; [0]
+CC(C)(N)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
 C[C@@H](Oc1ccc2nn[nH]c2c1)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+CCN(CC)c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+O=c1[nH]ccc2oc(-c3ccc4nn[nH]c4c3)cc12; [None]; [None]; [0]
 O=c1[nH]cc(Br)c2sc(-c3ccc4nn[nH]c4c3)cc12; [None]; [None]; [0]
+COc1ccncc1Nc1ccc2nn[nH]c2c1; [None]; [None]; [0]
 c1ccc(-c2ccncc2Nc2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+CC(C)Oc1cncc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+COc1cccc(F)c1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1ccc2ncc(Nc3ccc4nn[nH]c4c3)cc2c1; [None]; [None]; [0]
+c1cc2c(-c3ccc4nn[nH]c4c3)c[nH]c2cn1; [None]; [None]; [0]
+CNC(=O)c1c(F)cccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1cc2cc(-c3ccc4nn[nH]c4c3)cnc2[nH]1; [None]; [None]; [0]
+CC1(c2ccc3nn[nH]c3c2)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CN(c1ccc2nn[nH]c2c1)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CC(C)(C)NS(=O)(=O)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+c1cc(N2CCOCC2)ccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc3nn[nH]c3c2)n(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H](Nc1ccc2nn[nH]c2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+OCc1ccn(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
+OCCc1cn(-c2ccc3nn[nH]c3c2)cn1; [None]; [None]; [0]
+C[C@H](Nc1ccc2nn[nH]c2c1)C(C)(C)O; [None]; [None]; [0]
+C[C@@H](Nc1ccc2nn[nH]c2c1)C(C)(C)O; [None]; [None]; [0]
+Fc1cccc(Cl)c1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1ccc2c(c1)cnn2-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+Oc1cccc2c1cnn2-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1ncn(-c2ccc(-c3ccc4nn[nH]c4c3)cc2)n1; [None]; [None]; [0]
+Oc1ccc2nc(-c3ccc4nn[nH]c4c3)[nH]c2c1; [None]; [None]; [0]
+CSc1nc(C)c(-c2ccc3nn[nH]c3c2)[nH]1; [None]; [None]; [0]
+COc1ccc(-c2ccc3nn[nH]c3c2)c(OC)c1; [None]; [None]; [0]
+O=C(c1ccccc1)c1ccc(-c2ccc3nn[nH]c3c2)cc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3nn[nH]c3c2)CC1; [None]; [None]; [0]
+CC(C)n1cnnc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+c1cc2nn[nH]c2cc1-c1nncn1C1CC1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
 c1ccc(-c2ccc3nnc(Cc4ccc5nn[nH]c5c4)n3n2)cc1; [None]; [None]; [0]
+O=C(CCc1ccc2nn[nH]c2c1)NCc1ccccn1; [None]; [None]; [0]
 O=S(=O)(Cc1ccc2nn[nH]c2c1)NCc1ccccn1; [None]; [None]; [0]
+c1ccc(Cn2cc(-c3ccc4nn[nH]c4c3)nn2)cc1; [None]; [None]; [0]
+CCc1cc(-c2ccc3nn[nH]c3c2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccc3nn[nH]c3c2)nc(N)n1; [None]; [None]; [0]
+Nc1nnc(-c2ccc3nn[nH]c3c2)s1; [None]; [None]; [0]
 Cn1cc(C(N)=O)cc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+CC(C)(O)c1cccc(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3nn[nH]c3c2)s1; [None]; [None]; [0]
 [NH3+]Cc1ccc(Oc2ccc3nn[nH]c3c2)c(F)c1; [None]; [None]; [0]
+C[C@@H2]NC(=O)N1CCC(c2ccc3nn[nH]c3c2)CC1; [None]; [None]; [0]
+c1ccc2sc(-c3ccc4nn[nH]c4c3)nc2c1; [None]; [None]; [0]
 CC1(C)Oc2ccc(-c3ccc4nn[nH]c4c3)nc2NC1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(NC(=O)c2cccc(-c3ccc4nn[nH]c4c3)c2)cc1; [None]; [None]; [0]
+Nc1cncc(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
+c1cc(-c2ccc3nn[nH]c3c2)c2sccc2c1; [None]; [None]; [0]
 c1cc(-c2ccc3nn[nH]c3c2)c2snnc2c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc3nn[nH]c3c2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2ccc3nn[nH]c3c2)nc2ccccc12; [None]; [None]; [0]
+c1ccc2nc(-c3ccc4nn[nH]c4c3)ncc2c1; [None]; [None]; [0]
+c1cnc2c(-c3ccc4nn[nH]c4c3)c[nH]c2c1; [None]; [None]; [0]
+OCCn1cnc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+c1cc2cnc(-c3ccc4nn[nH]c4c3)nc2[nH]1; [None]; [None]; [0]
+COc1ccc(C#N)cc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
 COc1ccc(Oc2ccc3nn[nH]c3c2)c(F)c1F; [None]; [None]; [0]
-CC(C)(O)c1cccc(-c2ccc3nn[nH]c3c2)n1; [None]; [None]; [0]
+C[C@@]1(O)CC[C@H](c2ccc3nn[nH]c3c2)CC1; [None]; [None]; [0]
+COc1ccc(OC)c(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+COc1ncccc1-c1ccc2nn[nH]c2c1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1cccc(-c2ccc3nn[nH]c3c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc3nn[nH]c3c2)cnn1; [None]; [None]; [0]
+c1ccc2[nH]c(C3CCN(c4ccc5nn[nH]c5c4)CC3)nc2c1; [None]; [None]; [0]
+C1=C(c2c[nH]c3ccccc23)CCN(c2ccc3nn[nH]c3c2)C1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ccc3nn[nH]c3c2)c1)C1CCNCC1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2sc(C(C)(C)O)nc2C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(CC(=O)N3CCN(C(C)=O)CC3)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnn(Cc3cccc(C#N)c3)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc3c(c2)CS(=O)(=O)C3)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C(C)C)nc(N)n2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(N3CCCN(C(C)=O)CC3)c2)n1; [None]; [None]; [0]
-CCCOc1ccc(-c2ccnc(N[C@H2]C)n2)nc1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2nc3ccc(C(C)C)cc3[nH]2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(C(=O)N3CCOCC3)cc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(N)nc3[nH]ccc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(CS(C)(=O)=O)cc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(C(=O)Nc3cn[nH]c3)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cn(C)c3ccc(OC)cc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NC(=O)c2cc(OC)ccc2F)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc3ccc(C(C)(C)O)cc3[nH]2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ncn3c2CCCC3)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc3c(c2)c(Cl)nn3C)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cnn(C3CCN(C(C)=O)CC3)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(NC(=O)c2cccc(OC(F)(F)F)c2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(-c3cnc(C)n3C)cc2)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(-c3cnn(C)c3)cc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2ccc(S(C)(=O)=O)cc2OC)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cc(C(C)(C)O)n(C)n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2cc(C)ns2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2ccncn2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(OCC2(C)COC2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(NCc2ccc(OC)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(NC2CN(C(=O)C3CC3)C2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2nc(C)c(C)s2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2cc(C)n(C)n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(NC(=O)c2ccco2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(NC(=O)c2ccc(C(C)(C)C)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2ccc(F)cn2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2cc(C)c(F)cn2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2ccccn2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccccc2C(=O)NC)n1; [None]; [None]; [0]
+CCOc1ccccc1-c1ccnc(N[C@H2]C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(CCC(C)(C)OC)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccccc2-c2nnc(C)[nH]2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccccc2S(=O)(=O)C(C)C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Cc2cc(F)cc(F)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccccc2P(C)(C)=O)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccnc3ccccc23)n1; [None]; [None]; [0]
+CCn1cc(-c2ccnc(N[C@H2]C)n2)cn1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(C(F)(F)F)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccccc2OC(F)(F)F)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccccc2C(=O)[O-])n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccccc2C(N)=O)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cnn(Cc3ccccc3)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc3ncn(C)c(=O)c3c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cnc(-c3ccccc3)[nH]2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cnn(CCO)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2csc(C(C)(C)C)n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(NC(=O)c3ccccc3)c2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-n2ncc3cccc(F)c3c2=O)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ncc(OC)cn2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cc(Cl)ccc2Cl)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(OCC(=O)C(C)C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(C)cc2Br)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2c(C)nc3ccccn23)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cnc3ccccn23)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2sc(C)nc2C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2sc(NC)nc2C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2sc(N)nc2C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cnc3cccnn23)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(Cn3cncn3)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(Br)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cc(C)ccc2Cl)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(NCc2cccnc2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2sc(=O)n(C)c2C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccnc(N)n2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2cnn3ncccc23)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(Cc2ncc(C(C)(C)C)o2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc3ccccc3c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2cccnc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-n2cnc3ccccc32)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(NCCc2c[nH]cn2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(NC(=O)c2cccs2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(CC(=O)[O-])c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2c[nH]nc2C(F)(F)F)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(F)c2C(N)=O)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cncc3ccccc23)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(NCCc2ccccc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(-c3cnn(C)c3)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc3c(N)[nH]nc3c2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2ccc3c(c2)CS(=O)(=O)N3C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc3c(cnn3C)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(-c3cn[nH]c3)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(NCc2ccc(Cl)cc2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccnc(N[C@H2]C)n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(O)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(CO)c2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2ccc(C(=O)[O-])c(OC)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2ccncc2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2cn(C(C)C)nn2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(NCc2ccccc2F)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2c[nH]c(SC)n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cnoc2C(C)C)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(CCc2c[nH]nn2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2csc3ncncc23)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cc3ccccc3[nH]2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(CCC#N)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2csc(N)n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cncnc2N)n1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ccnc(N[C@H2]C)n3)cc2s1; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ccnc(N[C@H2]C)n2)cc1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(F)cc2C(F)(F)F)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(CCCC(N)=O)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Oc2ccccn2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(CCNC(=O)CC(C)(C)O)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(NC(C)=O)c2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(NC(=O)c2c(Cl)cccc2Cl)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cn(C)c3ccccc23)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(N2CCC(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(OCC(C)(C)S(C)(=O)=O)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(OC)c(Cl)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cnn3ccccc23)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2ccc(C[NH3+])c(C(F)(F)F)c2)n1; [None]; [None]; [0]
+CCCn1cc(-c2ccnc(N[C@H2]C)n2)cn1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cc[nH]c(=O)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc3c2C(=O)CC3)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(CCc2cc(OC)cc(OC)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(C(C)(C)N)cc2)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ccnc(N[C@H2]C)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(O[C@H](C)c2c(Cl)cncc2Cl)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc([S@](C)=O)cc2)n1; [None]; [None]; [0]
+CCN(CC)c1ccnc(N[C@H2]C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cc3c(=O)[nH]ccc3o2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2cc3c(=O)[nH]cc(Br)c3s2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2cnccc2OC)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(Nc2cnccc2-c2ccccc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cncc(OC(C)C)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(C(C)(C)C)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2c(F)cccc2OC)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(Nc2cnc3ccccc3c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(F)c2C(=O)NC)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cnc3[nH]ccc3c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(C2(C)CCN(S(C)(=O)=O)CC2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(N(C)[C@H]2C[C@@H](NS(C)(=O)=O)C2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(S(=O)(=O)NC(C)(C)C)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(S(=O)(=O)NC)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(N3CCOCC3)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(S(C)(=O)=O)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cc(C)nn2-c2cccc(Cl)c2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(N[C@@H](C)C(=O)NCC(F)(F)F)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-n2ccc(CO)n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-n2cnc(CCO)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(N[C@@H](C)C(C)(C)O)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(N[C@H](C)C(C)(C)O)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2c(F)cccc2Cl)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-n2ncc3ccccc32)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-n2ncc3c(O)cccc32)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(-n3cncn3)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2nc3ccc(O)cc3[nH]2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2[nH]c(SC)nc2C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(OC)cc2OC)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(C(=O)c3ccccc3)cc2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc([C@@H]2CC[C@@H](NC(C)=O)CC2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2nncn2C(C)C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2nncn2C2CC2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2ccn(CC[NH3+])n2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(Cc2nnc3ccc(-c4ccccc4)nn23)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(CCC(=O)NCc2ccccn2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(CS(=O)(=O)NCc2ccccn2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cn(Cc3ccccc3)nn2)n1; [None]; [None]; [0]
+CCc1cc(-c2ccnc(N[C@H2]C)n2)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ccnc(N[C@H2]C)n2)nc(N)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2nnc(N)s2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2cc(C(N)=O)cn2C)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(C(C)(C)O)n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ccc(C(=O)NC)s2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(Oc2ccc(C[NH3+])cc2F)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(C2CCN(C(=O)N[C@@H2]C)CC2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2nc3ccccc3s2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2ccc3c(n2)NC(=O)C(C)(C)O3)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2cccc(C(=O)Nc3ccc(C(=O)NC)cc3)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cncc(N)n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc3ccsc23)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2cccc3nnsc23)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cnc(NC(C)=O)[nH]2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2nc(N)c3ccccc3n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ncc3ccccc3n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2c[nH]c3cccnc23)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cn(CCO)cn2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2ncc3cc[nH]c3n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cc(C#N)ccc2OC)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(Oc2ccc(OC)c(F)c2F)n1; [None]; [None]; [0]
-C[C@H2]Nc1nccc(-c2cccc(C(C)(C)O)n2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc([C@H]2CC[C@@](C)(O)CC2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cc(OC)ccc2OC)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccnc2OC)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cccc(S(=O)(=O)N(C)C)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(-c2cnnc(N(C)C)c2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(N2CCC(c3nc4ccccc4[nH]3)CC2)n1; [None]; [None]; [0]
+C[C@H2]Nc1nccc(N2CC=C(c3c[nH]c4ccccc34)CC2)n1; [None]; [None]; [0]
 C[C@H2]Nc1nccc(-c2cccc(NC(=O)C3CCNCC3)c2)n1; [None]; [None]; [0]
+O=C(NCc1cccc(O)c1)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1cccc2ncccc12)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1c(Cl)ccc2c1OCO2)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1ccc(Cl)c(O)c1)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1n[nH]c2ccccc12)c1ccccc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+O=C(NCc1c(Cl)cccc1Cl)c1ccccc1; [None]; [None]; [0]
+O=C(NCOc1ccc(F)cc1)c1ccccc1; [None]; [None]; [0]
+NC(=O)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(CNC(=O)c2ccccc2)c(F)c1; [None]; [None]; [0]
+O=C(NCc1ccc(O)cc1Cl)c1ccccc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1ccc(O)cc1F)c1ccccc1; [None]; [None]; [0]
+Nc1nccc(CNC(=O)c2ccccc2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1CNC(=O)c1ccccc1; [None]; [None]; [0]
+Cc1nc2c(F)cc(CNC(=O)c3ccccc3)cc2[nH]1; [None]; [None]; [0]
+O=C(NCc1cn[nH]c1Cl)c1ccccc1; [None]; [None]; [0]
+COc1cc(F)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
 O=C(NCc1ccc(-c2ccc(O)cc2O)cc1)c1ccccc1; [None]; [None]; [0]
+COc1cc(CNC(=O)c2ccccc2)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(CNC(=O)c2ccccc2)o1; [None]; [None]; [0]
+COc1cc(CCCNC(=O)c2ccccc2)ccc1O; [None]; [None]; [0]
+O=C(NCc1cccc(Br)c1)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1ccc2ccccc2c1)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1ccc(O)c(F)c1)c1ccccc1; [None]; [None]; [0]
+Cn1cc(CNC(=O)c2ccccc2)c2ccccc21; [None]; [None]; [0]
+O=C(NCc1ccc(O)cc1O)c1ccccc1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(CNC(=O)c2ccccc2)c1; [None]; [None]; [0]
 O=C(NCc1cnn2ncccc12)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1c[nH]c2cnccc12)c1ccccc1; [None]; [None]; [0]
+Nc1cc(CNC(=O)c2ccccc2)ccn1; [None]; [None]; [0]
+O=C(NCCOc1ccccc1Cl)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1ccc(F)c(Cl)c1)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1[nH]cnc1-c1ccc(F)cc1)c1ccccc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1CNC(=O)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1cc(O)ccc1Cl)c1ccccc1; [None]; [None]; [0]
+Cc1ccc(CO)cc1CNC(=O)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1cnc(O)c(Cl)c1)c1ccccc1; [None]; [None]; [0]
+NC(=O)c1cc(CNC(=O)c2ccccc2)c[nH]1; [None]; [None]; [0]
+COc1cc(CNC(=O)c2ccccc2)cc(OC)c1; [None]; [None]; [0]
+COc1ccc(CNC(=O)c2ccccc2)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(CNC(=O)c3ccccc3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(CNC(=O)c3ccccc3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(CNC(=O)c2ccccc2)c1; [None]; [None]; [0]
+COc1cc(CCCNC(=O)c2ccccc2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+O=C(NCc1cnc2[nH]ccc2c1)c1ccccc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+O=C(NCc1nc2ccccc2s1)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1cncc(O)c1)c1ccccc1; [None]; [None]; [0]
+O=C1Cc2cc(CNC(=O)c3ccccc3)ccc2N1; [None]; [None]; [0]
+C[C@@H](CNC(=O)c1ccccc1)CC(N)=O; [None]; [None]; [0]
+CNc1nccc(CNC(=O)c2ccccc2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1CNC(=O)c1ccccc1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)CNC(=O)c3ccccc3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(CNC(=O)c2ccccc2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1cc(C(F)F)n[nH]1)c1ccccc1; [None]; [None]; [0]
+CN(CNC(=O)c1ccccc1)c1cccc(Cl)c1; [None]; [None]; [0]
+O=C(NCc1ccncc1Cl)c1ccccc1; [None]; [None]; [0]
+CCc1sccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1cc(Cl)c(O)c(Cl)c1)c1ccccc1; [None]; [None]; [0]
+CNc1nc(CNC(=O)c2ccccc2)ncc1F; [None]; [None]; [0]
+O=C(NCc1ccc2c(c1)CCN2)c1ccccc1; [None]; [None]; [0]
 O=C(NCc1cc(O)n2nccc2n1)c1ccccc1; [None]; [None]; [0]
 Cc1oc(CNC(=O)c2ccccc2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=C(NCc1ccc2[nH]c(=O)[nH]c2c1)c1ccccc1; [None]; [None]; [0]
+Cn1ncc(N)c1CNC(=O)c1ccccc1; [None]; [None]; [0]
+O=C(NCNc1ccncc1)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1ccc(Br)cc1F)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1[nH]nc2ccc(F)cc12)c1ccccc1; [None]; [None]; [0]
+CNC(=O)c1ccc(CNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
 CN(CNC(=O)c1ccccc1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+O=C(NCc1cc(O)cc(Br)c1)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1ccc(C(=O)NC2CC2)cc1)c1ccccc1; [None]; [None]; [0]
+Cc1cc(CNC(=O)c2ccccc2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(CNC(=O)c3ccccc3)cc2o1; [None]; [None]; [0]
+Cc1cc(CNC(=O)c2ccccc2)cc(C)c1O; [None]; [None]; [0]
+O=C(NCc1cc(F)c(O)c(F)c1)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1ccc2c(=O)[nH][nH]c2c1)c1ccccc1; [None]; [None]; [0]
+CSc1cccc(CNC(=O)c2ccccc2)c1; [None]; [None]; [0]
+O=C(NCCCc1c[nH]c2ccccc12)c1ccccc1; [None]; [None]; [0]
+O=C(NCOCc1cccc2ccccc12)c1ccccc1; [None]; [None]; [0]
 O=C(NCc1ocnc1-c1ccc(F)cc1)c1ccccc1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(CNC(=O)c3ccccc3)cc2)CC1; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(CNC(=O)c3ccccc3)cn2)c1; [None]; [None]; [0]
-O=C(NCc1ccc2c(c1)CS(=O)(=O)C2)c1ccccc1; [None]; [None]; [0]
-CC(C)c1cc(CNC(=O)c2ccccc2)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(CNC(=O)c3ccccc3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(CNC(=O)c2ccccc2)nc1; [None]; [None]; [0]
-CC(C)c1ccc2nc(CNC(=O)c3ccccc3)[nH]c2c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-Nc1cc(CNC(=O)c2ccccc2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-O=C(NCc1cccc(C(=O)Nc2cn[nH]c2)c1)c1ccccc1; [None]; [None]; [0]
-COc1ccc2c(c1)c(CNC(=O)c1ccccc1)cn2C; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NCNC(=O)c2ccccc2)c1; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(CNC(=O)c3ccccc3)[nH]c2c1; [None]; [None]; [0]
-O=C(NCc1ncn2c1CCCC2)c1ccccc1; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(CNC(=O)c3ccccc3)ccc21; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(CNC(=O)c3ccccc3)cn2)CC1; [None]; [None]; [0]
-O=C(NCNC(=O)c1cccc(OC(F)(F)F)c1)c1ccccc1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(CNC(=O)c3ccccc3)cc2)n1C; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1CNC(=O)c1ccccc1; [None]; [None]; [0]
-Cn1nc(CNC(=O)c2ccccc2)cc1C(C)(C)O; [None]; [None]; [0]
+O=C(NCOc1ccc(F)cc1F)c1ccccc1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1CNC(=O)c1ccccc1; [None]; [None]; [0]
+O=C(NCc1cn[nH]c1-c1ccc(Cl)cc1)c1ccccc1; [None]; [None]; [0]
+O=C(NCOCc1ccc(F)cc1F)c1ccccc1; [None]; [None]; [0]
+O=C(NCCCc1ccc(F)cc1F)c1ccccc1; [None]; [None]; [0]
+O=C(NCNCc1c(F)cccc1Cl)c1ccccc1; [None]; [None]; [0]
+Cc1cc(NCNC(=O)c2ccccc2)sn1; [None]; [None]; [0]
+O=C(NCNc1ccncn1)c1ccccc1; [None]; [None]; [0]
+CC1(COCNC(=O)c2ccccc2)COC1; [None]; [None]; [0]
+COc1ccc(CNCNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+O=C(NCNC1CN(C(=O)C2CC2)C1)c1ccccc1; [None]; [None]; [0]
+Cc1nc(NCNC(=O)c2ccccc2)sc1C; [None]; [None]; [0]
+Cc1cc(NCNC(=O)c2ccccc2)nn1C; [None]; [None]; [0]
+O=C(NCNC(=O)c1ccco1)c1ccccc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)NCNC(=O)c2ccccc2)cc1; [None]; [None]; [0]
+O=C(NCNc1ccc(F)cn1)c1ccccc1; [None]; [None]; [0]
+Cc1cc(NCNC(=O)c2ccccc2)ncc1F; [None]; [None]; [0]
+O=C(NCNc1ccccn1)c1ccccc1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ncc4ccccc4n3)cc2s1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+COc1ncccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+COc1cc(-c2ccc3nc(N)sc3c2)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ccc4nc(N)sc4c3)c2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cnc4cccnn34)cc2s1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc(O)c3)cc2s1; [None]; [None]; [0]
+COc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(N4CCOCC4)cc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc(NC(=O)C4CC4)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3nc4ccccc4[nH]3)cc2s1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc4nc(N)sc4c3)cc2)CC1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(C(=O)[O-])cc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3nccc4ccccc34)cc2s1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(Nc3ncccn3)cc2s1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3ccc4nc(N)sc4c3)cn2)c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(C(=O)Nc4ccccc4)cc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(OCCO)cc3)cc2s1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc(C4CCNCC4)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(C(=O)N4CCOCC4)cc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(C(=O)N4CCOCC4)cn3)cc2s1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
 Nc1nc2ccc(-c3ccc4c(c3)CS(=O)(=O)C4)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(C(F)(F)F)cc3)cc2s1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(Cc3ccccc3O)cc2s1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccc3nc(N)sc3c2)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
+Nc1ncc(Cc2ccc3nc(N)sc3c2)cn1; [None]; [None]; [0]
+Nc1nc2ccc([C@H]3CCN(C(=O)c4ccccc4)C3)cc2s1; [None]; [None]; [0]
 CC(C)c1cc(-c2ccc3nc(N)sc3c2)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3ccc4nc(N)sc4c3)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2ccc3nc(N)sc3c2)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(Br)cc3)cc2s1; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc3nc(N)sc3c2)cc1Cl; [None]; [None]; [0]
+COc1ccc(Cc2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccn4nccc4n3)cc2s1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3nc(N)sc3c2)c(C)c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccccc3-n3cccn3)cc2s1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3c[nH]c4ccccc34)cc2s1; [None]; [None]; [0]
+COc1cc(OC)c(-c2ccc3nc(N)sc3c2)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3ccc4nc(N)sc4c3)[nH]c2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4c(c3)CCO4)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(-c4ccccc4)[nH]n3)cc2s1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+COc1cc(-c2ccc3nc(N)sc3c2)ccc1O; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc4c3OCO4)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3scc4c3OCCO4)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(Cc3nc4ccc(F)c(F)c4[nH]3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(Cc3nc4c(F)c(F)ccc4[nH]3)cc2s1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cnc4ccccc4c3)cc2s1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2ccc3nc(N)sc3c2)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
+Nc1nc2ccc(Cc3nc4ccccc4[nH]3)cc2s1; [None]; [None]; [0]
+Nc1nc(-c2ccc3nc(N)sc3c2)cs1; [None]; [None]; [0]
+Cc1ccc(-c2ccc3nc(N)sc3c2)c(=O)[nH]1; [None]; [None]; [0]
+Nc1nc2ccc(CCCc3ccccc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccn(-c4cccc(Cl)c4)n3)cc2s1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+CSc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc4ccccc4s3)cc2s1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3ccc4nc(N)sc4c3)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2ccc3nc(N)sc3c2)nc(N)n1; [None]; [None]; [0]
+CC[C@@H](CO)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc([C@H](CO)Cc3ccccc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(F)cc3Cl)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4c(c3)CCC(=O)N4)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ncc(Br)cn3)cc2s1; [None]; [None]; [0]
+COc1ccc(-c2ccc3nc(N)sc3c2)cc1OC; [None]; [None]; [0]
+CCc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(Cl)cc3Cl)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(CCCn3cncn3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ncc4cccn4n3)cc2s1; [None]; [None]; [0]
+COc1cc(-c2ccc3nc(N)sc3c2)ccc1N1CCOCC1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc4ccccn4n3)cc2s1; [None]; [None]; [0]
+Cn1cc(-c2ccc3nc(N)sc3c2)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3ccc4nc(N)sc4c3)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3ccc4nc(N)sc4c3)c2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc4ccc(O)cc34)cc2s1; [None]; [None]; [0]
+COc1cc(F)c(-c2ccc3nc(N)sc3c2)cc1OC; [None]; [None]; [0]
+COc1cc(-c2ccc3nc(N)sc3c2)ccc1Cl; [None]; [None]; [0]
+Nc1nc2ccc(-c3cnn(CCO)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ncc(Cl)cn3)cc2s1; [None]; [None]; [0]
+Cc1csc2c(-c3ccc4nc(N)sc4c3)ncnc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
 Nc1cc(-c2ccc3nc(N)sc3c2)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc3nc(N)sc3c2)nc1; [None]; [None]; [0]
+COc1cc(-c2ccc3nc(N)sc3c2)c(OC)cc1Br; [None]; [None]; [0]
+COc1ccc(OC)c(Cc2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cc2s1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1ccc3nc(N)sc3c1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3ccc4nc(N)sc4c3)cc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4cn[nH]c4c3)cc2s1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CCn1cc(-c2ccc3nc(N)sc3c2)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(-c4cccnc4)ccn3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc4ccccc4o3)cc2s1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ncc4sccc4n3)cc2s1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc(NC(=O)N4CCCC4)c3)cc2s1; [None]; [None]; [0]
+COc1ccc2nc(-c3ccc4nc(N)sc4c3)[nH]c2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(OC(F)(F)F)cc3)cc2s1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc3nc(N)sc3c2)c2ccccc21; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3ccc4nc(N)sc4c3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ncn4c3CCCC4)cc2s1; [None]; [None]; [0]
+Cc1cc(-c2ccc3nc(N)sc3c2)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4nc(N)sc4c3)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3ccc4nc(N)sc4c3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc3nc(N)sc3c2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ccc4nc(N)sc4c3)ccc12; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3ccc4nc(N)sc4c3)cn2)CC1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc(N4CCCC4=O)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(CCO)cc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(NC(=O)c3cccc(OC(F)(F)F)c3)cc2s1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3nc(N)sc3c2)c(Cl)c1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3ccc4nc(N)sc4c3)cc2)n1C; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3nc(N)sc3c2)c(OC)c1; [None]; [None]; [0]
+Cn1nc(-c2ccc3nc(N)sc3c2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3nc(N)sc3c2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc4ncccc34)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3c(Cl)ccc4c3OCO4)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(Cl)c(O)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3n[nH]c4ccccc34)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3c(Cl)cccc3Cl)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(Oc3ccc(F)cc3)cc2s1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3nc(N)sc3c2)c(F)c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(O)cc3Cl)cc2s1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(O)cc3F)cc2s1; [None]; [None]; [0]
+Nc1nccc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc4nc(N)sc4c3)cc2[nH]1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cn[nH]c3Cl)cc2s1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)cc2s1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc3nc(N)sc3c2)o1; [None]; [None]; [0]
+COc1cc(CCc2ccc3nc(N)sc3c2)ccc1O; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc(Br)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4ccccc4c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(O)c(F)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(O)cc3O)cc2s1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cnn4ncccc34)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3c[nH]c4cnccc34)cc2s1; [None]; [None]; [0]
+Nc1cc(-c2ccc3nc(N)sc3c2)ccn1; [None]; [None]; [0]
+Nc1nc2ccc(COc3ccccc3Cl)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(F)c(Cl)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)cc2s1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(O)ccc3Cl)cc2s1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cnc(O)c(Cl)c3)cc2s1; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccc3nc(N)sc3c2)c[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc4nc(N)sc4c3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4nc(N)sc4c3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc3nc(N)sc3c2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cnc4[nH]ccc4c3)cc2s1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3nc4ccccc4s3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cncc(O)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4c(c3)CC(=O)N4)cc2s1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)c3ccc4nc(N)sc4c3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc3nc(N)sc3c2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(C(F)F)n[nH]3)cc2s1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccncc3Cl)cc2s1; [None]; [None]; [0]
+CCc1sccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(Cl)c(O)c(Cl)c3)cc2s1; [None]; [None]; [0]
+CNc1nc(-c2ccc3nc(N)sc3c2)ncc1F; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4c(c3)CCN4)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(O)n4nccc4n3)cc2s1; [None]; [None]; [0]
+Cc1oc(-c2ccc3nc(N)sc3c2)cc1C(=O)[O-]; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)cc2s1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(Nc3ccncc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(Br)cc3F)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3[nH]nc4ccc(F)cc34)cc2s1; [None]; [None]; [0]
+CN(c1ccc2nc(N)sc2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(O)cc(Br)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(C(=O)NC4CC4)cc3)cc2s1; [None]; [None]; [0]
+Cc1cc(-c2ccc3nc(N)sc3c2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4nc(N)sc4c3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2ccc3nc(N)sc3c2)cc(C)c1O; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(F)c(O)c(F)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)cc2s1; [None]; [None]; [0]
+CSc1cccc(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+Nc1nc2ccc(CCc3c[nH]c4ccccc34)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(OCc3cccc4ccccc34)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ocnc3-c3ccc(F)cc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(Oc3ccc(F)cc3F)cc2s1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(OCc3ccc(F)cc3F)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(CCc3ccc(F)cc3F)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(NCc3c(F)cccc3Cl)cc2s1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cccc(O)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cccc4ncccc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3c(Cl)ccc4c3OCO4)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(Cl)c(O)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3n[nH]c4ccccc34)c(C)c2)o1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(-c3nnc(C)o3)cc2C)cc1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3c(Cl)cccc3Cl)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(Oc3ccc(F)cc3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(C(N)=O)cc3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(C(N)=O)cc3F)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(O)cc3Cl)c(C)c2)o1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(O)cc3F)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccnc(N)n3)c(C)c2)o1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc(-c4nnc(C)o4)cc3C)cc2[nH]1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cn[nH]c3Cl)c(C)c2)o1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)c(C)c2)o1; [None]; [None]; [0]
+COc1cc(-c2ccc(-c3nnc(C)o3)cc2C)ccc1O; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(C(=O)[O-])cc3)c(C)c2)o1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc(-c3nnc(C)o3)cc2C)o1; [None]; [None]; [0]
+COc1cc(CCc2ccc(-c3nnc(C)o3)cc2C)ccc1O; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cccc(Br)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc4ccccc4c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(O)c(F)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cn(C)c4ccccc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(O)cc3O)c(C)c2)o1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc(-c3nnc(C)o3)cc2C)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cnn4ncccc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3c[nH]c4cnccc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccnc(N)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(COc3ccccc3Cl)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(F)c(Cl)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3[nH]cnc3-c3ccc(F)cc3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3c(C)ccc4[nH]ncc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(O)ccc3Cl)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(CO)ccc3C)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cnc(O)c(Cl)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3c[nH]c(C(N)=O)c3)c(C)c2)o1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc(-c3nnc(C)o3)cc2C)c1; [None]; [None]; [0]
+COc1ccc(-c2ccc(-c3nnc(C)o3)cc2C)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc(-c4nnc(C)o4)cc3C)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(-c4nnc(C)o4)cc3C)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc(-c3nnc(C)o3)cc2C)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc(-c3nnc(C)o3)cc2C)cc(OC)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(NC(N)=O)cc3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cnc4[nH]ccc4c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(S(C)(=O)=O)cc3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3nc4ccccc4s3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cncc(O)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc4c(c3)CC(=O)N4)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc([C@H](C)CC(N)=O)c(C)c2)o1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(-c3nnc(C)o3)cc2C)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
+Cc1nnc(-c2ccc(N(C)c3ccc4c(C)n[nH]c4c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3[nH]nc(C)c3C)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(O)cc3C)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(C(F)F)n[nH]3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(N(C)c3cccc(Cl)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccncc3Cl)c(C)c2)o1; [None]; [None]; [0]
+CCc1sccc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(Cl)c(O)c(Cl)c3)c(C)c2)o1; [None]; [None]; [0]
+CNc1nc(-c2ccc(-c3nnc(C)o3)cc2C)ncc1F; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc4c(c3)CCN4)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(O)n4nccc4n3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(C(=O)[O-])c(C)o3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3c(N)cnn3C)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(Nc3ccncc3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(Br)cc3F)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3[nH]nc4ccc(F)cc34)c(C)c2)o1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(-c3nnc(C)o3)cc2C)cc1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(N(C)c3cccc4[nH]ncc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(O)cc(Br)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(C(=O)NC4CC4)cc3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(C(N)=O)c(C)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc4nc(C)oc4c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(C)c(O)c(C)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(F)c(O)c(F)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc4c(=O)[nH][nH]c4c3)c(C)c2)o1; [None]; [None]; [0]
+CSc1cccc(-c2ccc(-c3nnc(C)o3)cc2C)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(CCc3c[nH]c4ccccc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(OCc3cccc4ccccc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ocnc3-c3ccc(F)cc3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(Oc3ccc(F)cc3F)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3c(-c4ccccc4)noc3C)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(OCc3ccc(F)cc3F)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(CCc3ccc(F)cc3F)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(NCc3c(F)cccc3Cl)c(C)c2)o1; [None]; [None]; [0]
+Oc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+c1cc(-c2n[nH]c3ncncc23)c2cccnc2c1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1n[nH]c3ncncc13)OCO2; [None]; [None]; [0]
+Oc1cc(-c2n[nH]c3ncncc23)ccc1Cl; [None]; [None]; [0]
+c1ccc2c(-c3n[nH]c4ncncc34)n[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Fc1ccc(Oc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1ccc(-c2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
+Nc1nccc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3n[nH]c4ncncc34)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+COc1cc(F)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1ccc(-c2ccc(-c3n[nH]c4ncncc34)cc2)c(O)c1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ncncc23)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2n[nH]c3ncncc23)o1; [None]; [None]; [0]
+COc1cc(CCc2n[nH]c3ncncc23)ccc1O; [None]; [None]; [0]
+Brc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+c1ccc2cc(-c3n[nH]c4ncncc34)ccc2c1; [None]; [None]; [0]
+Oc1ccc(-c2n[nH]c3ncncc23)cc1F; [None]; [None]; [0]
+Cn1cc(-c2n[nH]c3ncncc23)c2ccccc21; [None]; [None]; [0]
+Oc1ccc(-c2n[nH]c3ncncc23)c(O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+c1cnn2ncc(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
+c1cc2c(-c3n[nH]c4ncncc34)c[nH]c2cn1; [None]; [None]; [0]
+Nc1cc(-c2n[nH]c3ncncc23)ccn1; [None]; [None]; [0]
+Clc1ccccc1OCc1n[nH]c2ncncc12; [None]; [None]; [0]
+Fc1ccc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1ncc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
+NC(=O)c1cc(-c2n[nH]c3ncncc23)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1ccc(-c2n[nH]c3ncncc23)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3n[nH]c4ncncc34)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1cc(CCc2n[nH]c3ncncc23)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ncc2c(-c3cnc4[nH]ccc4c3)n[nH]c2n1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3n[nH]c4ncncc34)nc2c1; [None]; [None]; [0]
+Oc1cncc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3n[nH]c4ncncc34)ccc2N1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1n[nH]c2ncncc12; [None]; [None]; [0]
+CNc1nccc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2n[nH]c3ncncc23)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+FC(F)c1cc(-c2n[nH]c3ncncc23)[nH]n1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1n[nH]c2ncncc12; [None]; [None]; [0]
+Clc1cnccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+CCc1sccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
+CNc1nc(-c2n[nH]c3ncncc23)ncc1F; [None]; [None]; [0]
+c1ncc2c(-c3ccc4c(c3)CCN4)n[nH]c2n1; [None]; [None]; [0]
+Oc1cc(-c2n[nH]c3ncncc23)nc2ccnn12; [None]; [None]; [0]
+Cc1oc(-c2n[nH]c3ncncc23)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3n[nH]c4ncncc34)cc2[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+c1cc(Nc2n[nH]c3ncncc23)ccn1; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Fc1ccc2n[nH]c(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CN(c1cccc2[nH]ncc12)c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Cc1cc(-c2n[nH]c3ncncc23)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3n[nH]c4ncncc34)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2n[nH]c3ncncc23)cc(C)c1O; [None]; [None]; [0]
+Oc1c(F)cc(-c2n[nH]c3ncncc23)cc1F; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
+CSc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+c1ccc2c(CCc3n[nH]c4ncncc34)c[nH]c2c1; [None]; [None]; [0]
+c1ccc2c(COc3n[nH]c4ncncc34)cccc2c1; [None]; [None]; [0]
+Fc1ccc(-c2ncoc2-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Fc1ccc(Oc2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Fc1ccc(COc2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
+Fc1ccc(CCc2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
+Fc1cccc(Cl)c1CNc1n[nH]c2ncncc12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ccc2nc(-c3n[nH]c4ncncc34)ncc2c1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2ccc3nc(N)sc3c2)CC1; [None]; [None]; [0]
 Nc1nc2ccc(-c3cccc(C(=O)Nc4cn[nH]c4)c3)cc2s1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1ccc3nc(N)sc3c1)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3ccc4nc(N)sc4c3)cc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4cn[nH]c4c3)cc2s1; [None]; [None]; [0]
+CCn1cc(-c2ccc3nc(N)sc3c2)cn1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(-c4cccnc4)ccn3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc4ccccc4o3)cc2s1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ncc4sccc4n3)cc2s1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc(NC(=O)N4CCCC4)c3)cc2s1; [None]; [None]; [0]
+COc1ccc2nc(-c3ccc4nc(N)sc4c3)[nH]c2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(OC(F)(F)F)cc3)cc2s1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+Cn1cc(-c2ccc3nc(N)sc3c2)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3ccc4nc(N)sc4c3)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
+Cc1cc(-c2ccc3nc(N)sc3c2)cc(C)c1OCCO; [None]; [None]; [0]
 Nc1nc2ccc(-c3ncn4c3CCCC4)cc2s1; [None]; [None]; [0]
+Cn1ncc2cc(-c3ccc4nc(N)sc4c3)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3ccc4nc(N)sc4c3)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2ccc3nc(N)sc3c2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3ccc4nc(N)sc4c3)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3ccc4nc(N)sc4c3)cn2)CC1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc(N4CCCC4=O)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(CCO)cc3)cc2s1; [None]; [None]; [0]
 Nc1nc2ccc(NC(=O)c3cccc(OC(F)(F)F)c3)cc2s1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3nc(N)sc3c2)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3ccc4nc(N)sc4c3)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
-Nc1nc2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)cc2s1; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
 Cn1nc(-c2ccc3nc(N)sc3c2)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3nc(N)sc3c2)c(OC)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3nc(N)sc3c2)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+C[C@H](CS(C)(=O)=O)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3c(Cl)ccc4c3OCO4)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc4ncccc34)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(Cl)c(O)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3n[nH]c4ccccc34)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3c(Cl)cccc3Cl)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(Oc3ccc(F)cc3)cc2s1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3nc(N)sc3c2)c(F)c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(O)cc3Cl)cc2s1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(O)cc3F)cc2s1; [None]; [None]; [0]
+Nc1nccc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc4nc(N)sc4c3)cc2[nH]1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cn[nH]c3Cl)cc2s1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)cc2s1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc3nc(N)sc3c2)o1; [None]; [None]; [0]
+COc1cc(CCc2ccc3nc(N)sc3c2)ccc1O; [None]; [None]; [0]
+Nc1nc2ccc(-c3cccc(Br)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4ccccc4c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(O)c(F)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(O)cc3O)cc2s1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
 Nc1nc2ccc(-c3cnn4ncccc34)cc2s1; [None]; [None]; [0]
+Nc1cc(-c2ccc3nc(N)sc3c2)ccn1; [None]; [None]; [0]
+Nc1nc2ccc(-c3c[nH]c4cnccc34)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(COc3ccccc3Cl)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(F)c(Cl)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3[nH]cnc3-c3ccc(F)cc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(O)ccc3Cl)cc2s1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cnc(O)c(Cl)c3)cc2s1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccc3nc(N)sc3c2)c[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc4nc(N)sc4c3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4nc(N)sc4c3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc3nc(N)sc3c2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cnc4[nH]ccc4c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3nc4ccccc4s3)cc2s1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3nc(N)sc3c2)cc1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cncc(O)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4c(c3)CC(=O)N4)cc2s1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3nc(N)sc3c2)n1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc3nc(N)sc3c2)c1C; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccc4nc(N)sc4c3)ccc12; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(C(F)F)n[nH]3)cc2s1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccncc3Cl)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(Cl)c(O)c(Cl)c3)cc2s1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+COc1ncccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ncncc23)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
+c1cnn2c(-c3n[nH]c4ncncc34)cnc2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ncc2c(-c3ccc(N4CCOCC4)cc3)n[nH]c2n1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2n[nH]c3ncncc23)c1)C1CC1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3n[nH]c4ncncc34)nc2c1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3n[nH]c4ncncc34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2n[nH]c3ncncc23)sn1; [None]; [None]; [0]
+c1ccc2c(-c3n[nH]c4ncncc34)nccc2c1; [None]; [None]; [0]
+c1cnc(Nc2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3n[nH]c4ncncc34)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1cc(-c2n[nH]c3ncncc23)cc(C2CCNCC2)c1; [None]; [None]; [0]
+O=C(c1ccc(-c2n[nH]c3ncncc23)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2n[nH]c3ncncc23)nc1)N1CCOCC1; [None]; [None]; [0]
+c1cc(Nc2n[nH]c3ncncc23)ncn1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(-c3n[nH]c4ncncc34)cc2C1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2n[nH]c3ncncc23)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2n[nH]c3ncncc23)C1; [None]; [None]; [0]
+CC(C)c1cc(-c2n[nH]c3ncncc23)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3n[nH]c4ncncc34)c2)CC1; [None]; [None]; [0]
+CCCOc1ccc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Brc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ncc2c(-c3ccn4nccc4n3)n[nH]c2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+c1ccc2c(-c3n[nH]c4ncncc34)c[nH]c2c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3n[nH]c4ncncc34)[nH]c2c1; [None]; [None]; [0]
+c1ncc2c(-c3ccc4c(c3)CCO4)n[nH]c2n1; [None]; [None]; [0]
+c1ccc(-c2cc(-c3n[nH]c4ncncc34)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+c1cc2c(c(-c3n[nH]c4ncncc34)c1)OCO2; [None]; [None]; [0]
+c1ncc2c(-c3scc4c3OCCO4)n[nH]c2n1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ccc2ncc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
+Nc1nc(-c2n[nH]c3ncncc23)cs1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3n[nH]c4ncncc34)n2)c1; [None]; [None]; [0]
+CC1(COc2n[nH]c3ncncc23)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+CSc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3n[nH]c4ncncc34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2n[nH]c3ncncc23)nc(N)n1; [None]; [None]; [0]
+Fc1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3n[nH]c4ncncc34)ccc2N1; [None]; [None]; [0]
+Brc1cnc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+CCc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+COc1ccc(CNc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Clc1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
+O=C(C1CC1)N1CC(Nc2n[nH]c3ncncc23)C1; [None]; [None]; [0]
+c1cc2cnc(-c3n[nH]c4ncncc34)nn2c1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ncncc23)ccc1N1CCOCC1; [None]; [None]; [0]
+c1ccn2nc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
+Cn1cc(-c2n[nH]c3ncncc23)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3n[nH]c4ncncc34)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2n[nH]c3ncncc23)cc1OC; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ncncc23)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
+Clc1cnc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+Cc1csc2c(-c3n[nH]c4ncncc34)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2n[nH]c3ncncc23)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2n[nH]c3ncncc23)nn1C; [None]; [None]; [0]
+Nc1cc(-c2n[nH]c3ncncc23)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ncncc23)c(OC)cc1Br; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+O=C(Nc1n[nH]c2ncncc12)c1ccco1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1n[nH]c3ncncc13)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
+c1ncc2c(-c3ccc4cn[nH]c4c3)n[nH]c2n1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CCn1cc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3n[nH]c4ncncc34)c2)c1; [None]; [None]; [0]
+c1ccc2oc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
+CCc1sccc1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+CNc1nc(-c2ccc3nc(N)sc3c2)ncc1F; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4c(c3)CCN4)cc2s1; [None]; [None]; [0]
 Nc1nc2ccc(-c3cc(O)n4nccc4n3)cc2s1; [None]; [None]; [0]
 Cc1oc(-c2ccc3nc(N)sc3c2)cc1C(=O)[O-]; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)cc2s1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(Nc3ccncc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(Br)cc3F)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3[nH]nc4ccc(F)cc34)cc2s1; [None]; [None]; [0]
 CN(c1ccc2nc(N)sc2c1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(O)cc(Br)c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc(C(=O)NC4CC4)cc3)cc2s1; [None]; [None]; [0]
+Cc1cc(-c2ccc3nc(N)sc3c2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4nc(N)sc4c3)cc2o1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cc(F)c(O)c(F)c3)cc2s1; [None]; [None]; [0]
+Cc1cc(-c2ccc3nc(N)sc3c2)cc(C)c1O; [None]; [None]; [0]
+CSc1cccc(-c2ccc3nc(N)sc3c2)c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3ccc4c(=O)[nH][nH]c4c3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(CCc3c[nH]c4ccccc34)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(OCc3cccc4ccccc34)cc2s1; [None]; [None]; [0]
 Nc1nc2ccc(-c3ocnc3-c3ccc(F)cc3)cc2s1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3ccc(O)cc3)c(C)c2)o1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(-c3nnc(C)o3)cc2C)cc1; [None]; [None]; [0]
+Nc1nc2ccc(Oc3ccc(F)cc3F)cc2s1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1ccc2nc(N)sc2c1; [None]; [None]; [0]
+Nc1nc2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(OCc3ccc(F)cc3F)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(CCc3ccc(F)cc3F)cc2s1; [None]; [None]; [0]
+Nc1nc2ccc(NCc3c(F)cccc3Cl)cc2s1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cccc(O)c3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cccc4ncccc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3c(Cl)ccc4c3OCO4)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(Cl)c(O)c3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3n[nH]c4ccccc34)c(C)c2)o1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2ccc(-c3nnc(C)o3)cc2C)cc1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3nc4ccccc4n3C)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3c(Cl)cccc3Cl)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(Oc3ccc(F)cc3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(C(N)=O)cc3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(C(N)=O)cc3F)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(O)cc3Cl)c(C)c2)o1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(O)cc3F)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccnc(N)n3)c(C)c2)o1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc(-c4nnc(C)o4)cc3C)cc2[nH]1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cn[nH]c3Cl)c(C)c2)o1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(-c4ccc(O)cc4O)cc3)c(C)c2)o1; [None]; [None]; [0]
 COc1cc(-c2ccc(-c3nnc(C)o3)cc2C)ccc1O; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(C(=O)[O-])cc3)c(C)c2)o1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc(-c3nnc(C)o3)cc2C)o1; [None]; [None]; [0]
 COc1cc(CCc2ccc(-c3nnc(C)o3)cc2C)ccc1O; [None]; [None]; [0]
-Cc1nnc(-c2ccc(COc3cccc(Cl)c3)c(C)c2)o1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc(-c3nnc(C)o3)cc2C)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc4ccccc4c3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cccc(Br)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(O)c(F)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cn(C)c4ccccc34)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(O)cc3O)c(C)c2)o1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2ccc(-c3nnc(C)o3)cc2C)c1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cnn4ncccc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3c[nH]c4cnccc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccnc(N)c3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(COc3ccccc3Cl)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(F)c(Cl)c3)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc([C@H](CO)c3ccccc3)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(CCc3ccc(Cl)cc3)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3cc(O)ccc3C)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3[nH]cnc3-c3ccc(F)cc3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3c(C)ccc4[nH]ncc34)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cc(O)ccc3Cl)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3c(Cl)ccc4c3OCO4)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cc(CO)ccc3C)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cnc(O)c(Cl)c3)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3c[nH]c(C(N)=O)c3)c(C)c2)o1; [None]; [None]; [0]
 COc1cc(OC)cc(-c2ccc(-c3nnc(C)o3)cc2C)c1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3c[nH]c(C(N)=O)c3)c(C)c2)o1; [None]; [None]; [0]
 COc1ccc(-c2ccc(-c3nnc(C)o3)cc2C)cc1OC; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3ccc(-c4nnc(C)o4)cc3C)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc(-c4nnc(C)o4)cc3C)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc(-c3nnc(C)o3)cc2C)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc(-c3nnc(C)o3)cc2C)cc(OC)c1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(NC(N)=O)cc3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cnc4[nH]ccc4c3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(S(C)(=O)=O)cc3)c(C)c2)o1; [None]; [None]; [0]
@@ -62064,214 +43658,865 @@ Cc1nnc(-c2ccc(-c3ccc4c(c3)CC(=O)N4)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc([C@H](C)CC(N)=O)c(C)c2)o1; [None]; [None]; [0]
 CNc1nccc(-c2ccc(-c3nnc(C)o3)cc2C)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
 Cc1nnc(-c2ccc(N(C)c3ccc4c(C)n[nH]c4c3)c(C)c2)o1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3[nH]nc(C)c3C)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(O)cc3C)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(C(F)F)n[nH]3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(N(C)c3cccc(Cl)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccncc3Cl)c(C)c2)o1; [None]; [None]; [0]
 CCc1sccc1-c1ccc(-c2nnc(C)o2)cc1C; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cc(Cl)c(O)c(Cl)c3)c(C)c2)o1; [None]; [None]; [0]
+CNc1nc(-c2ccc(-c3nnc(C)o3)cc2C)ncc1F; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc4c(c3)CCN4)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cc(O)n4nccc4n3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cc(C(=O)[O-])c(C)o3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc4[nH]c(=O)[nH]c4c3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3c(N)cnn3C)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(Nc3ccncc3)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3ccc(Br)cc3F)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3[nH]nc4ccc(F)cc34)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3[nH]nc(C)c3C)c(C)c2)o1; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ccc(-c3nnc(C)o3)cc2C)cc1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3[nH]nc4ccc(F)cc34)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(Br)cc3F)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(N(C)c3cccc4[nH]ncc34)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3ccc(C(=O)NC4CC4)cc3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cc(O)cc(Br)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3ccc(C(=O)NC4CC4)cc3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc(C(N)=O)c(C)c3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc4nc(C)oc4c3)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3cc(F)c(O)c(F)c3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(C)c(O)c(C)c3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ccc4c(=O)[nH][nH]c4c3)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3[nH]cnc3-c3ccc(F)cc3)c(C)c2)o1; [None]; [None]; [0]
+Cc1nnc(-c2ccc(-c3cc(F)c(O)c(F)c3)c(C)c2)o1; [None]; [None]; [0]
 CSc1cccc(-c2ccc(-c3nnc(C)o3)cc2C)c1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(CCc3c[nH]c4ccccc34)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(OCc3ccccc3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(OCc3cccc4ccccc34)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3ocnc3-c3ccc(F)cc3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(Oc3ccc(F)cc3F)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(Oc3ccccc3F)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3c(-c4ccccc4)noc3C)c(C)c2)o1; [None]; [None]; [0]
-Cc1nnc(-c2ccc(-c3ccc(F)cc3Cl)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(-c3cn[nH]c3-c3ccc(Cl)cc3)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(OCc3ccc(F)cc3F)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(CCc3ccc(F)cc3F)c(C)c2)o1; [None]; [None]; [0]
 Cc1nnc(-c2ccc(NCc3c(F)cccc3Cl)c(C)c2)o1; [None]; [None]; [0]
+Oc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+c1cc(-c2n[nH]c3ncncc23)c2cccnc2c1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1n[nH]c3ncncc13)OCO2; [None]; [None]; [0]
+Oc1cc(-c2n[nH]c3ncncc23)ccc1Cl; [None]; [None]; [0]
+c1ccc2c(-c3n[nH]c4ncncc34)n[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Fc1ccc(Oc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+NC(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1ccc(-c2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
+Nc1nccc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3n[nH]c4ncncc34)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+COc1cc(F)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3n[nH]c4ncncc34)cc2)c(O)c1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ncncc23)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2n[nH]c3ncncc23)o1; [None]; [None]; [0]
+COc1cc(CCc2n[nH]c3ncncc23)ccc1O; [None]; [None]; [0]
+Brc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+c1ccc2cc(-c3n[nH]c4ncncc34)ccc2c1; [None]; [None]; [0]
+Oc1ccc(-c2n[nH]c3ncncc23)cc1F; [None]; [None]; [0]
+Cn1cc(-c2n[nH]c3ncncc23)c2ccccc21; [None]; [None]; [0]
+Oc1ccc(-c2n[nH]c3ncncc23)c(O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
 c1cnn2ncc(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
+c1cc2c(-c3n[nH]c4ncncc34)c[nH]c2cn1; [None]; [None]; [0]
+Nc1cc(-c2n[nH]c3ncncc23)ccn1; [None]; [None]; [0]
+Clc1ccccc1OCc1n[nH]c2ncncc12; [None]; [None]; [0]
+Fc1ccc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1ncc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
+NC(=O)c1cc(-c2n[nH]c3ncncc23)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1ccc(-c2n[nH]c3ncncc23)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3n[nH]c4ncncc34)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1cc(CCc2n[nH]c3ncncc23)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ncc2c(-c3cnc4[nH]ccc4c3)n[nH]c2n1; [None]; [None]; [0]
+c1ccc2sc(-c3n[nH]c4ncncc34)nc2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Oc1cncc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3n[nH]c4ncncc34)ccc2N1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1n[nH]c2ncncc12; [None]; [None]; [0]
+CNc1nccc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2n[nH]c3ncncc23)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+FC(F)c1cc(-c2n[nH]c3ncncc23)[nH]n1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1n[nH]c2ncncc12; [None]; [None]; [0]
+Clc1cnccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
+CCc1sccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+CNc1nc(-c2n[nH]c3ncncc23)ncc1F; [None]; [None]; [0]
+c1ncc2c(-c3ccc4c(c3)CCN4)n[nH]c2n1; [None]; [None]; [0]
 Oc1cc(-c2n[nH]c3ncncc23)nc2ccnn12; [None]; [None]; [0]
 Cc1oc(-c2n[nH]c3ncncc23)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3n[nH]c4ncncc34)cc2[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+c1cc(Nc2n[nH]c3ncncc23)ccn1; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Fc1ccc2n[nH]c(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
 CN(c1cccc2[nH]ncc12)c1n[nH]c2ncncc12; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Cc1cc(-c2n[nH]c3ncncc23)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3n[nH]c4ncncc34)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2n[nH]c3ncncc23)cc(C)c1O; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
+Oc1c(F)cc(-c2n[nH]c3ncncc23)cc1F; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+c1ncc2c(-c3ncc4sccc4n3)n[nH]c2n1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2n[nH]c3ncncc23)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3n[nH]c4ncncc34)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3n[nH]c4ncncc34)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
+c1ncc2c(-c3ncn4c3CCCC4)n[nH]c2n1; [None]; [None]; [0]
+Cc1cc(-c2n[nH]c3ncncc23)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3n[nH]c4ncncc34)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3n[nH]c4ncncc34)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3n[nH]c4ncncc34)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+OCCc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+O=C(Nc1n[nH]c2ncncc12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3n[nH]c4ncncc34)cc2)n1C; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2n[nH]c3ncncc23)c(OC)c1; [None]; [None]; [0]
+Cn1nc(-c2n[nH]c3ncncc23)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Fc1ccc(Nc2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+Cc1cc(Nc2n[nH]c3ncncc23)ncc1F; [None]; [None]; [0]
+c1ccc(Nc2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc(O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc2ncccc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(Cl)c(O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1n[nH]c2ccccc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1Oc1ccc(F)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(O)cc1Cl; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(O)cc1F; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccnc(N)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1nc2c(F)cc(-n3c(C)ccc(Br)c3=O)cc2[nH]1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cn[nH]c1Cl; [None]; [None]; [0]
+COc1cc(F)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(-c2ccc(O)cc2O)cc1; [None]; [None]; [0]
+COc1cc(-n2c(C)ccc(Br)c2=O)ccc1O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)o1; [None]; [None]; [0]
+COc1cc(CCn2c(C)ccc(Br)c2=O)ccc1O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc(Br)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(O)c(F)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cn(C)c2ccccc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(O)cc1O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cnn2ncccc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccnc(N)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1COc1ccccc1Cl; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(O)ccc1Cl; [None]; [None]; [0]
+Cc1ccc(CO)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+COc1ccc(-n2c(C)ccc(Br)c2=O)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-n3c(C)ccc(Br)c3=O)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-n3c(C)ccc(Br)c3=O)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+COc1cc(CCn2c(C)ccc(Br)c2=O)cc(OC)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1nc2ccccc2s1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cncc(O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CC(=O)N2; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1[C@H](C)CC(N)=O; [None]; [None]; [0]
+CNc1nccc(-n2c(C)ccc(Br)c2=O)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)n3c(C)ccc(Br)c3=O)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-n2c(C)ccc(Br)c2=O)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(C(F)F)n[nH]1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1N(C)c1cccc(Cl)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccncc1Cl; [None]; [None]; [0]
+CCc1sccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(Cl)c(O)c(Cl)c1; [None]; [None]; [0]
+CNc1nc(-n2c(C)ccc(Br)c2=O)ncc1F; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(O)n2nccc2n1; [None]; [None]; [0]
+Cc1oc(-n2c(C)ccc(Br)c2=O)cc1C(=O)[O-]; [None]; [None]; [0]
+CSc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+c1ccc2c(CCc3n[nH]c4ncncc34)c[nH]c2c1; [None]; [None]; [0]
+c1ccc2c(COc3n[nH]c4ncncc34)cccc2c1; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Fc1ccc(Oc2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Fc1ccc(COc2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
+Fc1ccc(CCc2n[nH]c3ncncc23)c(F)c1; [None]; [None]; [0]
+Fc1cccc(Cl)c1CNc1n[nH]c2ncncc12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ccc2nc(-c3n[nH]c4ncncc34)ncc2c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1ncccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ncncc23)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
+c1cnn2c(-c3n[nH]c4ncncc34)cnc2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ncc2c(-c3ccc(N4CCOCC4)cc3)n[nH]c2n1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2n[nH]c3ncncc23)c1)C1CC1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3n[nH]c4ncncc34)nc2c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3n[nH]c4ncncc34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2n[nH]c3ncncc23)sn1; [None]; [None]; [0]
+c1ccc2c(-c3n[nH]c4ncncc34)nccc2c1; [None]; [None]; [0]
+c1cnc(Nc2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3n[nH]c4ncncc34)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1cc(-c2n[nH]c3ncncc23)cc(C2CCNCC2)c1; [None]; [None]; [0]
+O=C(c1ccc(-c2n[nH]c3ncncc23)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2n[nH]c3ncncc23)nc1)N1CCOCC1; [None]; [None]; [0]
+c1cc(Nc2n[nH]c3ncncc23)ncn1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3n[nH]c4ncncc34)cc2C1; [None]; [None]; [0]
+CN(C)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2n[nH]c3ncncc23)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2n[nH]c3ncncc23)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2n[nH]c3ncncc23)nc(N)n1; [None]; [None]; [0]
-CCCOc1ccc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3n[nH]c4ncncc34)c2)CC1; [None]; [None]; [0]
+CCCOc1ccc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+Brc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ncc2c(-c3ccn4nccc4n3)n[nH]c2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2n[nH]c3ncncc23)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+c1ccc2c(-c3n[nH]c4ncncc34)c[nH]c2c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2n[nH]c3ncncc23)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3n[nH]c4ncncc34)[nH]c2c1; [None]; [None]; [0]
+c1ncc2c(-c3ccc4c(c3)CCO4)n[nH]c2n1; [None]; [None]; [0]
+c1ccc(-c2cc(-c3n[nH]c4ncncc34)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+c1cc2c(c(-c3n[nH]c4ncncc34)c1)OCO2; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3n[nH]c4ncncc34)nc2c1F; [None]; [None]; [0]
+c1ncc2c(-c3scc4c3OCCO4)n[nH]c2n1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ccc2ncc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
+Nc1nc(-c2n[nH]c3ncncc23)cs1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3n[nH]c4ncncc34)n2)c1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+CC1(COc2n[nH]c3ncncc23)COC1; [None]; [None]; [0]
+CSc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3n[nH]c4ncncc34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2n[nH]c3ncncc23)nc(N)n1; [None]; [None]; [0]
+Fc1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3n[nH]c4ncncc34)ccc2N1; [None]; [None]; [0]
+Brc1cnc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+CCc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+COc1ccc(CNc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+Clc1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
+c1cc2cnc(-c3n[nH]c4ncncc34)nn2c1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2n[nH]c3ncncc23)C1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ncncc23)ccc1N1CCOCC1; [None]; [None]; [0]
+c1ccn2nc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
+Cn1cc(-c2n[nH]c3ncncc23)c(C(F)(F)F)n1; [None]; [None]; [0]
+COc1ccc2cccc(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3n[nH]c4ncncc34)ccc2O1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3n[nH]c4ncncc34)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2n[nH]c3ncncc23)cc1OC; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ncncc23)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
+Clc1cnc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+Cc1csc2c(-c3n[nH]c4ncncc34)ncnc12; [None]; [None]; [0]
+Cc1cc(Nc2n[nH]c3ncncc23)nn1C; [None]; [None]; [0]
+Cc1nc(Nc2n[nH]c3ncncc23)sc1C; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2[nH]c(=O)[nH]c2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1c(N)cnn1C; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1Nc1ccncc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(Br)cc1F; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1N(C)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(O)cc(Br)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)NC2CC2)cc1; [None]; [None]; [0]
+Cc1cc(-n2c(C)ccc(Br)c2=O)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-n3c(C)ccc(Br)c3=O)cc2o1; [None]; [None]; [0]
+Cc1cc(-n2c(C)ccc(Br)c2=O)cc(C)c1O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(F)c(O)c(F)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(=O)[nH][nH]c2c1; [None]; [None]; [0]
+CSc1cccc(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1CCc1c[nH]c2ccccc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1OCc1cccc2ccccc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ocnc1-c1ccc(F)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1Oc1ccc(F)cc1F; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1OCc1ccc(F)cc1F; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1CCc1ccc(F)cc1F; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1NCc1c(F)cccc1Cl; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+CCOc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ncc2ccccc2n1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+COc1ncccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
+COc1cc(-n2c(C)ccc(Br)c2=O)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-n3c(C)ccc(Br)c3=O)c2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cnc2cccnn12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(C#N)ccc1O; [None]; [None]; [0]
+COc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-n3c(C)ccc(Br)c3=O)cc2)CC1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1nccc2ccccc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1Nc1ncccn1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cnn(Cc2cccc(C#N)c2)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(OCCO)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(N(C)C)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-n2c(C)ccc(Br)c2=O)s1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(C(C)C)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-n3c(C)ccc(Br)c3=O)c2)CC1; [None]; [None]; [0]
+CCCOc1ccc(-n2c(C)ccc(Br)c2=O)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(Br)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccn2nccc2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-n2c(C)ccc(Br)c2=O)c(C)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccccc1-n1cccn1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+COc1cc(OC)c(-n2c(C)ccc(Br)c2=O)cc1Cl; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1nc2ccc(C(C)C)cc2[nH]1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc2c1OCO2; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1scc2c1OCCO2; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cnc2ccccc2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](n2c(C)ccc(Br)c2=O)CC1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1csc(N)n1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+COc1cccc(C(=O)Nn2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+CSc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc2ccccc2s1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-n3c(C)ccc(Br)c3=O)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-n2c(C)ccc(Br)c2=O)nc(N)n1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(F)cc1Cl; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CCC(=O)N2; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ncc(Br)cn1; [None]; [None]; [0]
+CCc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ncc2cccn2n1; [None]; [None]; [0]
+COc1cc(-n2c(C)ccc(Br)c2=O)ccc1N1CCOCC1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc2ccccn2n1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cn(C)nc1C(F)(F)F; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CC(C)(C)O2; [None]; [None]; [0]
+COc1ccc2cccc(-n3c(C)ccc(Br)c3=O)c2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
+COc1cc(F)c(-n2c(C)ccc(Br)c2=O)cc1OC; [None]; [None]; [0]
+COc1cc(-n2c(C)ccc(Br)c2=O)ccc1Cl; [None]; [None]; [0]
 Nc1cc(-c2n[nH]c3ncncc23)c2cc[nH]c2n1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+COc1cc(-c2n[nH]c3ncncc23)c(OC)cc1Br; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+O=C(Nc1n[nH]c2ncncc12)c1ccco1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2n[nH]c3ncncc23)CC1; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1n[nH]c3ncncc13)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
+c1ncc2c(-c3ccc4cn[nH]c4c3)n[nH]c2n1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CCn1cc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3n[nH]c4ncncc34)c2)c1; [None]; [None]; [0]
+c1ccc2oc(-c3n[nH]c4ncncc34)cc2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+c1ncc2c(-c3ncc4sccc4n3)n[nH]c2n1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2n[nH]c3ncncc23)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3n[nH]c4ncncc34)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2n[nH]c3ncncc23)c1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3n[nH]c4ncncc34)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2n[nH]c3ncncc23)n1; [None]; [None]; [0]
 c1ncc2c(-c3ncn4c3CCCC4)n[nH]c2n1; [None]; [None]; [0]
+Cc1cc(-c2n[nH]c3ncncc23)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3n[nH]c4ncncc34)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2n[nH]c3ncncc23)cn1; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3n[nH]c4ncncc34)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3n[nH]c4ncncc34)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3n[nH]c4ncncc34)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+OCCc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
 O=C(Nc1n[nH]c2ncncc12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2n[nH]c3ncncc23)c(Cl)c1; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3n[nH]c4ncncc34)cc2)n1C; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2n[nH]c3ncncc23)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2n[nH]c3ncncc23)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2n[nH]c3ncncc23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+Fc1ccc(Nc2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
 Cc1cc(Nc2n[nH]c3ncncc23)ncc1F; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc(O)cc1; [None]; [None]; [0]
+c1ccc(Nc2n[nH]c3ncncc23)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2n[nH]c3ncncc23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1n[nH]c2ncncc12; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cccc2ncccc12; [None]; [None]; [0]
-CCc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc(O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(Cl)c(O)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1n[nH]c2ccccc12; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1Oc1ccc(F)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(O)cc1Cl; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(O)cc1F; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccnc(N)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1nc2c(F)cc(-n3c(C)ccc(Br)c3=O)cc2[nH]1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cn[nH]c1Cl; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc(-c2ccc(O)cc2O)cc1; [None]; [None]; [0]
+COc1cc(F)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
 COc1cc(-n2c(C)ccc(Br)c2=O)ccc1O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(-c2ccc(O)cc2O)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)[O-])cc1; [None]; [None]; [0]
-COC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)o1; [None]; [None]; [0]
 COc1cc(CCn2c(C)ccc(Br)c2=O)ccc1O; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1COc1cccc(Cl)c1; [None]; [None]; [0]
+COC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)o1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cccc(Br)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(O)c(F)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cn(C)c2ccccc12; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(O)cc1O; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cnn2ncccc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccnc(N)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1COc1ccccc1Cl; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(F)c(Cl)c1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1[C@H](CO)c1ccccc1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1CCc1ccc(Cl)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1cc(O)ccc1Cl; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
-Cc1ccc(CO)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(O)ccc1Cl; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
-COc1cc(OC)cc(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
+COc1cc(OC)cc(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
 COc1ccc(-n2c(C)ccc(Br)c2=O)cc1OC; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-n3c(C)ccc(Br)c3=O)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-n3c(C)ccc(Br)c3=O)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+COc1cc(CCn2c(C)ccc(Br)c2=O)cc(OC)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cnn(CCO)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ncc(Cl)cn1; [None]; [None]; [0]
+Cc1csc2c(-n3c(C)ccc(Br)c3=O)ncnc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)nc1; [None]; [None]; [0]
+COc1cc(-n2c(C)ccc(Br)c2=O)c(OC)cc1Br; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1Cc1ccc(C(N)=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](n2c(C)ccc(Br)c2=O)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(n2c(C)ccc(Br)c2=O)CC1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc(C(=O)Nc2cn[nH]c2)c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-n1c(C)ccc(Br)c1=O)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-n3c(C)ccc(Br)c3=O)cc2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
+CCn1cc(-n2c(C)ccc(Br)c2=O)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc2ccccc2o1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(Br)cn1C; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ncc2sccc2n1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cn(C)nc1C(C)C; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
+COc1ccc2nc(-n3c(C)ccc(Br)c3=O)[nH]c2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nn2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc2ccc(C(C)(C)O)cc2[nH]1; [None]; [None]; [0]
+CCc1cccc(-n2c(C)ccc(Br)c2=O)n1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ncn2c1CCCC2; [None]; [None]; [0]
+Cc1cc(-n2c(C)ccc(Br)c2=O)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)c(Cl)nn2C; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(N(C)C)nc1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-n3c(C)ccc(Br)c3=O)ccc12; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-n3c(C)ccc(Br)c3=O)cn2)CC1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc(N2CCCC2=O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(CCO)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1NC(=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N(C)C)cc1Cl; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-n3c(C)ccc(Br)c3=O)cc2)n1C; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)c(OC)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(C(C)(C)O)n(C)n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N(C)C)cn1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cccc(O)c2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cccc3ncccc23)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2c(Cl)ccc3c2OCO3)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(Cl)c(O)c2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2n[nH]c3ccccc23)nc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2c(Cl)cccc2Cl)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(Oc2ccc(F)cc2)nc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)c(F)c1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(O)cc2Cl)nc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(O)cc2F)nc1; [None]; [None]; [0]
+Nc1nccc(-c2ccc(C(=O)NCC3CC3)cn2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc(C(=O)NCC4CC4)cn3)cc2[nH]1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cn[nH]c2Cl)nc1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(-c3ccc(O)cc3O)cc2)nc1; [None]; [None]; [0]
+COc1cc(-c2ccc(C(=O)NCC3CC3)cn2)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)o1; [None]; [None]; [0]
+COc1cc(CCc2ccc(C(=O)NCC3CC3)cn2)ccc1O; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cccc(Br)c2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc3ccccc3c2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(O)c(F)c2)nc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(=O)NCC3CC3)cn2)c2ccccc21; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(O)cc2O)nc1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc(C(=O)NCC3CC3)cn2)c1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cnn3ncccc23)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2c[nH]c3cnccc23)nc1; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)NCC3CC3)cn2)ccn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(COc2ccccc2Cl)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(F)c(Cl)c2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2[nH]cnc2-c2ccc(F)cc2)nc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cc(O)ccc2Cl)nc1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cnc(O)c(Cl)c2)nc1; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccc(C(=O)NCC3CC3)cn2)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc(C(=O)NCC3CC3)cn2)c1; [None]; [None]; [0]
+COc1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc(C(=O)NCC4CC4)cn3)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(C(=O)NCC4CC4)cn3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc(C(=O)NCC3CC3)cn2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc(C(=O)NCC3CC3)cn2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cnc3[nH]ccc3c2)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cncc(O)c2)nc1; [None]; [None]; [0]
+O=C1Cc2cc(-c3ccc(C(=O)NCC4CC4)cn3)ccc2N1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+CNc1nccc(-c2ccc(C(=O)NCC3CC3)cn2)n1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1nc2ccccc2s1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cncc(O)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CC(=O)N2; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1[C@H](C)CC(N)=O; [None]; [None]; [0]
-CNc1nccc(-n2c(C)ccc(Br)c2=O)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+CNc1nccc(-n2c(C)ccc(Br)c2=O)n1; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1n[nH]c(-n2c(C)ccc(Br)c2=O)c1C; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)n3c(C)ccc(Br)c3=O)ccc12; [None]; [None]; [0]
 Cc1cc(O)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(C(F)F)n[nH]1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1N(C)c1cccc(Cl)c1; [None]; [None]; [0]
 CCc1sccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccncc1Cl; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc(Cl)c(O)c(Cl)c1; [None]; [None]; [0]
+CNc1nc(-n2c(C)ccc(Br)c2=O)ncc1F; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc(O)n2nccc2n1; [None]; [None]; [0]
 Cc1oc(-n2c(C)ccc(Br)c2=O)cc1C(=O)[O-]; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc(Br)cc1F; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc2[nH]c(=O)[nH]c2c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1c(N)cnn1C; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1Nc1ccncc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(Br)cc1F; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
-Cc1n[nH]c(-n2c(C)ccc(Br)c2=O)c1C; [None]; [None]; [0]
 CNC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1N(C)c1cccc2[nH]ncc12; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc(O)cc(Br)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)NC2CC2)cc1; [None]; [None]; [0]
-Cc1cc(-n2c(C)ccc(Br)c2=O)ccc1C(N)=O; [None]; [None]; [0]
 Cc1nc2ccc(-n3c(C)ccc(Br)c3=O)cc2o1; [None]; [None]; [0]
+Cc1cc(-n2c(C)ccc(Br)c2=O)ccc1C(N)=O; [None]; [None]; [0]
+Cc1cc(-n2c(C)ccc(Br)c2=O)cc(C)c1O; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc(F)c(O)c(F)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc2c(=O)[nH][nH]c2c1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
 CSc1cccc(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1CCc1c[nH]c2ccccc12; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1OCc1cccc2ccccc12; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ocnc1-c1ccc(F)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1Oc1ccc(F)cc1F; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc(F)cc1Cl; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1OCc1ccc(F)cc1F; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1CCc1ccc(F)cc1F; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1NCc1c(F)cccc1Cl; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ncc2ccccc2n1; [None]; [None]; [0]
 CCOc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ncc2ccccc2n1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
 COc1ncccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cccc(S(C)(=O)=O)c1; [None]; [None]; [0]
+Cc1ccc2ncn(-n3c(C)ccc(Br)c3=O)c2c1; [None]; [None]; [0]
 COc1cc(-n2c(C)ccc(Br)c2=O)cc(OC)c1OC; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cnc2cccnn12; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1cccc(O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(C#N)ccc1O; [None]; [None]; [0]
 COc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cccc(NC(=O)C2CC2)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-n3c(C)ccc(Br)c3=O)cc2)CC1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc(NS(C)(=O)=O)nc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1nccc2ccccc12; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1Nc1ncccn1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cnn(Cc2cccc(C#N)c2)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1Cc1nccc2ccccc12; [None]; [None]; [0]
 CC(=O)NCc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(OCCO)cc1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N2CCOCC2)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N2CCOCC2)cn1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(OC[C@H](C)O)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(OC[C@@H](C)O)cc1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(N(C)C)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(S(=O)(=O)N(C)C)cc1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1Cc1ccccc1O; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 Cc1nc(C)c(-n2c(C)ccc(Br)c2=O)s1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1Cc1cnc(N)nc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1C1CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1[C@H]1CCN(C(=O)c2ccccc2)C1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc(C(C)C)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-n3c(C)ccc(Br)c3=O)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-n2c(C)ccc(Br)c2=O)nc1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(Br)cc1; [None]; [None]; [0]
-COc1ccc(Cn2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(N(C)C)c(Cl)c1; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccn2nccc2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-n2c(C)ccc(Br)c2=O)c(C)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccccc1-n1cccn1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1c[nH]c2ccccc12; [None]; [None]; [0]
 COc1cc(OC)c(-n2c(C)ccc(Br)c2=O)cc1Cl; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1nc2ccc(C(C)C)cc2[nH]1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1cc2ccccc2cn1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cccc(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1cccc2c1OCO2; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1scc2c1OCCO2; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cccc2c1OCO2; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cnc2ccccc2c1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)c3ccc(C(=O)NCC4CC4)cn3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc(C(=O)NCC3CC3)cn2)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cc(C(F)F)n[nH]2)nc1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccncc2Cl)nc1; [None]; [None]; [0]
+CCc1sccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cc(Cl)c(O)c(Cl)c2)nc1; [None]; [None]; [0]
+CNc1nc(-c2ccc(C(=O)NCC3CC3)cn2)ncc1F; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc3c(c2)CCN3)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cc(O)n3nccc3n2)nc1; [None]; [None]; [0]
+Cc1oc(-c2ccc(C(=O)NCC3CC3)cn2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc3[nH]c(=O)[nH]c3c2)nc1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(Nc2ccncc2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(Br)cc2F)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2[nH]nc3ccc(F)cc23)nc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
+CN(c1ccc(C(=O)NCC2CC2)cn1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cc(O)cc(Br)c2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(C(=O)NC3CC3)cc2)nc1; [None]; [None]; [0]
+Cc1cc(-c2ccc(C(=O)NCC3CC3)cn2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc(C(=O)NCC4CC4)cn3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2ccc(C(=O)NCC3CC3)cn2)cc(C)c1O; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cc(F)c(O)c(F)c2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc3c(=O)[nH][nH]c3c2)nc1; [None]; [None]; [0]
+CSc1cccc(-c2ccc(C(=O)NCC3CC3)cn2)c1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(CCc2c[nH]c3ccccc23)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(OCc2cccc3ccccc23)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ocnc2-c2ccc(F)cc2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(Oc2ccc(F)cc2F)nc1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(OCc2ccc(F)cc2F)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(CCc2ccc(F)cc2F)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(NCc2c(F)cccc2Cl)nc1; [None]; [None]; [0]
+Oc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+c1cc(-c2nnc3ccccn23)c2cccnc2c1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1nnc3ccccn13)OCO2; [None]; [None]; [0]
+Oc1cc(-c2nnc3ccccn23)ccc1Cl; [None]; [None]; [0]
+c1ccc2c(-c3nnc4ccccn34)n[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1nnc2ccccn12; [None]; [None]; [0]
+Fc1ccc(Oc2nnc3ccccn23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2nnc3ccccn23)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Oc1ccc(-c2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Nc1nccc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3nnc4ccccn34)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1nnc2ccccn12; [None]; [None]; [0]
+COc1cc(F)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Oc1ccc(-c2ccc(-c3nnc4ccccn34)cc2)c(O)c1; [None]; [None]; [0]
+COc1cc(-c2nnc3ccccn23)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2nnc3ccccn23)o1; [None]; [None]; [0]
+COc1cc(CCc2nnc3ccccn23)ccc1O; [None]; [None]; [0]
+Brc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+c1ccc2cc(-c3nnc4ccccn34)ccc2c1; [None]; [None]; [0]
+Oc1ccc(-c2nnc3ccccn23)cc1F; [None]; [None]; [0]
+Cn1cc(-c2nnc3ccccn23)c2ccccc21; [None]; [None]; [0]
+Oc1ccc(-c2nnc3ccccn23)c(O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+c1cnn2ncc(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
+c1ccn2c(-c3c[nH]c4cnccc34)nnc2c1; [None]; [None]; [0]
+Nc1cc(-c2nnc3ccccn23)ccn1; [None]; [None]; [0]
+Clc1ccccc1OCc1nnc2ccccn12; [None]; [None]; [0]
+Fc1ccc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1nnc2ccccn12; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+Oc1ncc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
+NC(=O)c1cc(-c2nnc3ccccn23)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+COc1ccc(-c2nnc3ccccn23)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3nnc4ccccn34)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3nnc4ccccn34)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+COc1cc(CCc2nnc3ccccn23)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccn2c(-c3cnc4[nH]ccc4c3)nnc2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3nnc4ccccn34)nc2c1; [None]; [None]; [0]
+Oc1cncc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3nnc4ccccn34)ccc2N1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1nnc2ccccn12; [None]; [None]; [0]
+CNc1nccc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)c3nnc4ccccn34)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2nnc3ccccn23)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+FC(F)c1cc(-c2nnc3ccccn23)[nH]n1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1nnc2ccccn12; [None]; [None]; [0]
+Clc1cnccc1-c1nnc2ccccn12; [None]; [None]; [0]
+CCc1sccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
+CNc1nc(-c2nnc3ccccn23)ncc1F; [None]; [None]; [0]
+c1ccn2c(-c3ccc4c(c3)CCN4)nnc2c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N(C)C)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C(C)(C)C)nc1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
-COc1cccc(C(=O)Nn2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](n2c(C)ccc(Br)c2=O)CC1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1csc(N)n1; [None]; [None]; [0]
+COc1cccc(C(=O)Nn2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+CSc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc2ccccc2s1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(-n3c(C)ccc(Br)c3=O)cc2)CC1; [None]; [None]; [0]
 Cc1cc(-n2c(C)ccc(Br)c2=O)nc(N)n1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1[C@H](CO)Cc1ccccc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(F)cc1Cl; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)CCC(=O)N2; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ncc(Br)cn1; [None]; [None]; [0]
+CCc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1CCCn1cncn1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ncc2cccn2n1; [None]; [None]; [0]
 COc1cc(-n2c(C)ccc(Br)c2=O)ccc1N1CCOCC1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc2ccccn2n1; [None]; [None]; [0]
@@ -62281,36 +44526,39 @@ COc1ccc2cccc(-n3c(C)ccc(Br)c3=O)c2c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
 COc1cc(F)c(-n2c(C)ccc(Br)c2=O)cc1OC; [None]; [None]; [0]
 COc1cc(-n2c(C)ccc(Br)c2=O)ccc1Cl; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cnn(CCO)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ncc(Cl)cn1; [None]; [None]; [0]
 Cc1csc2c(-n3c(C)ccc(Br)c3=O)ncnc12; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc(N)nc2[nH]ccc12; [None]; [None]; [0]
+CCNC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)nc1; [None]; [None]; [0]
 COc1cc(-n2c(C)ccc(Br)c2=O)c(OC)cc1Br; [None]; [None]; [0]
-COc1ccc(OC)c(Cn2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1Cc1ccc(C(N)=O)cc1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](n2c(C)ccc(Br)c2=O)CC1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](n2c(C)ccc(Br)c2=O)CC1; [None]; [None]; [0]
 CCNC(=O)N1CCC(n2c(C)ccc(Br)c2=O)CC1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cccc(C(=O)Nc2cn[nH]c2)c1; [None]; [None]; [0]
-COc1ccc2oc(-n3c(C)ccc(Br)c3=O)cc2c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-n1c(C)ccc(Br)c1=O)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-n3c(C)ccc(Br)c3=O)cc2c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(C[NH+](C)C)cc1; [None]; [None]; [0]
+CCn1cc(-n2c(C)ccc(Br)c2=O)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc2ccccc2o1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1cc(Br)cn1C; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ncc2sccc2n1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cn(C)nc1C(C)C; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N2CCC[C@@H]2C)cc1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cccc(NC(=O)N2CCCC2)c1; [None]; [None]; [0]
 COc1ccc2nc(-n3c(C)ccc(Br)c3=O)[nH]c2c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nn2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
-Cc1ccc(Br)c(=O)n1-c1cn(C)c2ccccc12; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc2ccc(C(C)(C)O)cc2[nH]1; [None]; [None]; [0]
 CCc1cccc(-n2c(C)ccc(Br)c2=O)n1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ncn2c1CCCC2; [None]; [None]; [0]
 Cc1cc(-n2c(C)ccc(Br)c2=O)cc(C)c1OCCO; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc2c(c1)c(Cl)nn2C; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1ccc(N(C)C)nc1; [None]; [None]; [0]
 Cc1n[nH]c2cc(-n3c(C)ccc(Br)c3=O)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-n3c(C)ccc(Br)c3=O)cn2)CC1; [None]; [None]; [0]
@@ -62326,49 +44574,163 @@ COc1cc(N2CCNCC2)ccc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
 CNC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)c(OC)c1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc(C(C)(C)O)n(C)n1; [None]; [None]; [0]
 CCNC(=O)c1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
+Cc1ccc(Br)c(=O)n1-c1ccc(C(=O)N(C)C)cn1; [None]; [None]; [0]
 Cc1ccc(Br)c(=O)n1-c1cc(S(C)(=O)=O)ccc1Cl; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-n2c(C)ccc(Br)c2=O)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-n2c(C)ccc(Br)c2=O)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-n1c(C)ccc(Br)c1=O; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(-c2ccc(O)cc2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cccc(O)c2)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cccc3ncccc23)nc1; [None]; [None]; [0]
-CCc1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2c(Cl)ccc3c2OCO3)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2ccc(Cl)c(O)c2)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2n[nH]c3ccccc23)nc1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
-Cn1c(-c2ccc(C(=O)NCC3CC3)cn2)nc2ccccc21; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2c(Cl)cccc2Cl)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(Oc2ccc(F)cc2)nc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)c(F)c1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2ccc(O)cc2Cl)nc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(O)cc2F)nc1; [None]; [None]; [0]
 Nc1nccc(-c2ccc(C(=O)NCC3CC3)cn2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc(C(=O)NCC4CC4)cn3)cc2[nH]1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cn[nH]c2Cl)nc1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2ccc(-c3ccc(O)cc3O)cc2)nc1; [None]; [None]; [0]
 COc1cc(-c2ccc(C(=O)NCC3CC3)cn2)ccc1O; [None]; [None]; [0]
 O=C([O-])c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
-COC(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)o1; [None]; [None]; [0]
 COc1cc(CCc2ccc(C(=O)NCC3CC3)cn2)ccc1O; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(COc2cccc(Cl)c2)nc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)o1; [None]; [None]; [0]
+Oc1cc(-c2nnc3ccccn23)nc2ccnn12; [None]; [None]; [0]
+Cc1oc(-c2nnc3ccccn23)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3nnc4ccccn34)cc2[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1nnc2ccccn12; [None]; [None]; [0]
+c1ccn2c(Nc3ccncc3)nnc2c1; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Fc1ccc2n[nH]c(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CN(c1cccc2[nH]ncc12)c1nnc2ccccn12; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Cc1cc(-c2nnc3ccccn23)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3nnc4ccccn34)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2nnc3ccccn23)cc(C)c1O; [None]; [None]; [0]
+Oc1c(F)cc(-c2nnc3ccccn23)cc1F; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3nnc4ccccn34)ccc12; [None]; [None]; [0]
+CSc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+c1ccc2c(CCc3nnc4ccccn34)c[nH]c2c1; [None]; [None]; [0]
+c1ccc2c(COc3nnc4ccccn34)cccc2c1; [None]; [None]; [0]
+Fc1ccc(-c2ncoc2-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Fc1ccc(Oc2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1nnc2ccccn12; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Fc1ccc(COc2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Fc1ccc(CCc2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Fc1cccc(Cl)c1CNc1nnc2ccccn12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccc2nc(-c3nnc4ccccn34)ncc2c1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1nnc2ccccn12; [None]; [None]; [0]
+COc1ncccc1-c1nnc2ccccn12; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+COc1cc(-c2nnc3ccccn23)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
+c1ccn2c(-c3cnc4cccnn34)nnc2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+COc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccn2c(-c3ccc(N4CCOCC4)cc3)nnc2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nnc3ccccn23)c1)C1CC1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3nnc4ccccn34)nc2c1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-c3nnc4ccccn34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2nnc3ccccn23)sn1; [None]; [None]; [0]
+c1ccc2c(-c3nnc4ccccn34)nccc2c1; [None]; [None]; [0]
+c1cnc(Nc2nnc3ccccn23)nc1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3nnc4ccccn34)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1cc(-c2nnc3ccccn23)cc(C2CCNCC2)c1; [None]; [None]; [0]
+O=C(c1ccc(-c2nnc3ccccn23)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2nnc3ccccn23)nc1)N1CCOCC1; [None]; [None]; [0]
+c1ccn2c(Nc3ccncn3)nnc2c1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+O=S1(=O)Cc2ccc(-c3nnc4ccccn34)cc2C1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2nnc3ccccn23)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2nnc3ccccn23)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2nnc3ccccn23)C1; [None]; [None]; [0]
+CC(C)c1cc(-c2nnc3ccccn23)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3nnc4ccccn34)c2)CC1; [None]; [None]; [0]
+CCCOc1ccc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Brc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccn2c(-c3ccn4nccc4n3)nnc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nnc3ccccn23)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+c1ccc2c(-c3nnc4ccccn34)c[nH]c2c1; [None]; [None]; [0]
+COc1cc(OC)c(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
+CC(C)c1ccc2nc(-c3nnc4ccccn34)[nH]c2c1; [None]; [None]; [0]
+c1ccn2c(-c3ccc4c(c3)CCO4)nnc2c1; [None]; [None]; [0]
+c1ccc(-c2cc(-c3nnc4ccccn34)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+c1cc2c(c(-c3nnc4ccccn34)c1)OCO2; [None]; [None]; [0]
+c1ccn2c(-c3scc4c3OCCO4)nnc2c1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccc2ncc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2nnc3ccccn23)CC1; [None]; [None]; [0]
+Nc1nc(-c2nnc3ccccn23)cs1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3nnc4ccccn34)n2)c1; [None]; [None]; [0]
+CC1(COc2nnc3ccccn23)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2nnc3ccccn23)c1; [None]; [None]; [0]
+CSc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3nnc4ccccn34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2nnc3ccccn23)nc(N)n1; [None]; [None]; [0]
+Fc1ccc(-c2nnc3ccccn23)c(Cl)c1; [None]; [None]; [0]
+O=C1CCc2cc(-c3nnc4ccccn34)ccc2N1; [None]; [None]; [0]
+Brc1cnc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
+CCc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+COc1ccc(CNc2nnc3ccccn23)cc1; [None]; [None]; [0]
+Clc1ccc(-c2nnc3ccccn23)c(Cl)c1; [None]; [None]; [0]
+O=C(C1CC1)N1CC(Nc2nnc3ccccn23)C1; [None]; [None]; [0]
+c1ccn2c(-c3ncc4cccn4n3)nnc2c1; [None]; [None]; [0]
+COc1cc(-c2nnc3ccccn23)ccc1N1CCOCC1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cccc(Br)c2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc3ccccc3c2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccc(O)c(F)c2)nc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(C(=O)NCC3CC3)cn2)c2ccccc21; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2ccc(O)cc2O)nc1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2ccc(C(=O)NCC3CC3)cn2)c1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cnn3ncccc23)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2c[nH]c3cnccc23)nc1; [None]; [None]; [0]
+Nc1cc(-c2ccc(C(=O)NCC3CC3)cn2)ccn1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(COc2ccccc2Cl)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2ccc(F)c(Cl)c2)nc1; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc([C@H](CO)c2ccccc2)nc1; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(CCc2ccc(Cl)cc2)nc1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2[nH]cnc2-c2ccc(F)cc2)nc1; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cc(O)ccc2Cl)nc1; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(-c2c(Cl)ccc3c2OCO3)nc1; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cnc(O)c(Cl)c2)nc1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
 NC(=O)c1cc(-c2ccc(C(=O)NCC3CC3)cn2)c[nH]1; [None]; [None]; [0]
 COc1cc(OC)cc(-c2ccc(C(=O)NCC3CC3)cn2)c1; [None]; [None]; [0]
 COc1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1OC; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3ccc(C(=O)NCC4CC4)cn3)ccc12; [None]; [None]; [0]
-NC(=O)Nc1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc(C(=O)NCC4CC4)cn3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc(C(=O)NCC3CC3)cn2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
+COc1cc(CCc2ccc(C(=O)NCC3CC3)cn2)cc(OC)c1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cnc3[nH]ccc3c2)nc1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2nc3ccccc3s2)nc1; [None]; [None]; [0]
@@ -62376,109 +44738,530 @@ O=C(NCC1CC1)c1ccc(-c2cncc(O)c2)nc1; [None]; [None]; [0]
 O=C1Cc2cc(-c3ccc(C(=O)NCC4CC4)cn3)ccc2N1; [None]; [None]; [0]
 C[C@H](CC(N)=O)c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
 CNc1nccc(-c2ccc(C(=O)NCC3CC3)cn2)n1; [None]; [None]; [0]
-CCc1cc(O)c(F)cc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccc(C(=O)NCC4CC4)cn3)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc(C(=O)NCC3CC3)cn2)c1C; [None]; [None]; [0]
 Cc1cc(O)ccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2cc(C(F)F)n[nH]2)nc1; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
-CCc1sccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ccncc2Cl)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cc(Cl)c(O)c(Cl)c2)nc1; [None]; [None]; [0]
+CCc1sccc1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
+CNc1nc(-c2ccc(C(=O)NCC3CC3)cn2)ncc1F; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2ccc3c(c2)CCN3)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cc(O)n3nccc3n2)nc1; [None]; [None]; [0]
 Cc1oc(-c2ccc(C(=O)NCC3CC3)cn2)cc1C(=O)[O-]; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2ccc3[nH]c(=O)[nH]c3c2)nc1; [None]; [None]; [0]
 Cn1ncc(N)c1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(Nc2ccncc2)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2ccc(Br)cc2F)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(Nc2ccncc2)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2[nH]nc3ccc(F)cc23)nc1; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc(C(=O)NCC3CC3)cn2)c1C; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ccc(C(=O)NCC3CC3)cn2)cc1; [None]; [None]; [0]
 CN(c1ccc(C(=O)NCC2CC2)cn1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cc(O)cc(Br)c2)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2ccc(C(=O)NC3CC3)cc2)nc1; [None]; [None]; [0]
 Cc1cc(-c2ccc(C(=O)NCC3CC3)cn2)ccc1C(N)=O; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc(C(=O)NCC4CC4)cn3)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2ccc(C(=O)NCC3CC3)cn2)cc(C)c1O; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cc(F)c(O)c(F)c2)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2ccc3c(=O)[nH][nH]c3c2)nc1; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(-c2[nH]cnc2-c2ccc(F)cc2)nc1; [None]; [None]; [0]
 CSc1cccc(-c2ccc(C(=O)NCC3CC3)cn2)c1; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(OCc2ccccc2)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(CCc2c[nH]c3ccccc23)nc1; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(OCc2cccc3ccccc23)nc1; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(-c2ocnc2-c2ccc(F)cc2)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(Oc2ccc(F)cc2F)nc1; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(Oc2ccccc2F)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(-c2ocnc2-c2ccc(F)cc2)nc1; [None]; [None]; [0]
+O=C(NCC1CC1)c1ccc(OCc2cccc3ccccc23)nc1; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1ccc(C(=O)NCC2CC2)cn1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)nc1; [None]; [None]; [0]
-O=C(NCC1CC1)c1ccc(-c2ccc(F)cc2Cl)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(OCc2ccc(F)cc2F)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(CCc2ccc(F)cc2F)nc1; [None]; [None]; [0]
 O=C(NCC1CC1)c1ccc(NCc2c(F)cccc2Cl)nc1; [None]; [None]; [0]
+Oc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+Clc1ccc2c(c1-c1nnc3ccccn13)OCO2; [None]; [None]; [0]
+c1cc(-c2nnc3ccccn23)c2cccnc2c1; [None]; [None]; [0]
+Oc1cc(-c2nnc3ccccn23)ccc1Cl; [None]; [None]; [0]
+c1ccc2c(-c3nnc4ccccn34)n[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Clc1cccc(Cl)c1-c1nnc2ccccn12; [None]; [None]; [0]
+Fc1ccc(Oc2nnc3ccccn23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2nnc3ccccn23)c(Cl)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Oc1ccc(-c2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Nc1nccc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3nnc4ccccn34)cc2[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Clc1[nH]ncc1-c1nnc2ccccn12; [None]; [None]; [0]
 Oc1ccc(-c2ccc(-c3nnc4ccccn34)cc2)c(O)c1; [None]; [None]; [0]
+COc1cc(-c2nnc3ccccn23)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2nnc3ccccn23)o1; [None]; [None]; [0]
+COc1cc(CCc2nnc3ccccn23)ccc1O; [None]; [None]; [0]
+Brc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+Oc1ccc(-c2nnc3ccccn23)cc1F; [None]; [None]; [0]
+c1ccc2cc(-c3nnc4ccccn34)ccc2c1; [None]; [None]; [0]
+Cn1cc(-c2nnc3ccccn23)c2ccccc21; [None]; [None]; [0]
+Oc1ccc(-c2nnc3ccccn23)c(O)c1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
 c1cnn2ncc(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
+c1ccn2c(-c3c[nH]c4cnccc34)nnc2c1; [None]; [None]; [0]
+Nc1cc(-c2nnc3ccccn23)ccn1; [None]; [None]; [0]
+c1ccn2nc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
+Cn1cc(-c2nnc3ccccn23)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3nnc4ccccn34)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2nnc3ccccn23)cc1OC; [None]; [None]; [0]
+COc1cc(-c2nnc3ccccn23)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
+Clc1cnc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
+Cc1csc2c(-c3nnc4ccccn34)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2nnc3ccccn23)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2nnc3ccccn23)nn1C; [None]; [None]; [0]
+Nc1cc(-c2nnc3ccccn23)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
+COc1cc(-c2nnc3ccccn23)c(OC)cc1Br; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nnc3ccccn23)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2nnc3ccccn23)cc1; [None]; [None]; [0]
+O=C(Nc1nnc2ccccn12)c1ccco1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2nnc3ccccn23)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2nnc3ccccn23)CC1; [None]; [None]; [0]
+O=C(Nc1cn[nH]c1)c1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+COc1ccc2c(c1)c(-c1nnc3ccccn13)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
+c1ccn2c(-c3ccc4cn[nH]c4c3)nnc2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2nnc3ccccn23)cc1; [None]; [None]; [0]
+CCn1cc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3nnc4ccccn34)c2)c1; [None]; [None]; [0]
+c1ccc2oc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+c1ccn2c(-c3ncc4sccc4n3)nnc2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nnc3ccccn23)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3nnc4ccccn34)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+COc1ccc(F)c(C(=O)Nc2nnc3ccccn23)c1; [None]; [None]; [0]
+CC(C)(O)c1ccc2cc(-c3nnc4ccccn34)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
+c1ccn2c(-c3ncn4c3CCCC4)nnc2c1; [None]; [None]; [0]
+Cc1cc(-c2nnc3ccccn23)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3nnc4ccccn34)ccc21; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-c3nnc4ccccn34)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3nnc4ccccn34)ccc12; [None]; [None]; [0]
+CC(=O)N1CCC(n2cc(-c3nnc4ccccn34)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+OCCc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+O=C(Nc1nnc2ccccn12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nnc3ccccn23)c(Cl)c1; [None]; [None]; [0]
+Cc1ncc(-c2ccc(-c3nnc4ccccn34)cc2)n1C; [None]; [None]; [0]
+COc1cc(-c2cnn(C)c2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nnc3ccccn23)c(OC)c1; [None]; [None]; [0]
+Cn1nc(-c2nnc3ccccn23)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Fc1ccc(Nc2nnc3ccccn23)nc1; [None]; [None]; [0]
+Cc1cc(Nc2nnc3ccccn23)ncc1F; [None]; [None]; [0]
+c1ccc(Nc2nnc3ccccn23)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+O=C(NCc1cccc(O)c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1cccc2ncccc12)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1c(Cl)ccc2c1OCO2)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc(Cl)c(O)c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1n[nH]c2ccccc12)c1ccc[nH]1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+O=C(NCc1c(Cl)cccc1Cl)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCOc1ccc(F)cc1)c1ccc[nH]1; [None]; [None]; [0]
+NC(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(CNC(=O)c2ccc[nH]2)c(F)c1; [None]; [None]; [0]
+O=C(NCc1ccc(O)cc1Cl)c1ccc[nH]1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc(O)cc1F)c1ccc[nH]1; [None]; [None]; [0]
+Nc1nccc(CNC(=O)c2ccc[nH]2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+Cc1nc2c(F)cc(CNC(=O)c3ccc[nH]3)cc2[nH]1; [None]; [None]; [0]
+O=C(NCc1cn[nH]c1Cl)c1ccc[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc(-c2ccc(O)cc2O)cc1)c1ccc[nH]1; [None]; [None]; [0]
+COc1cc(CNC(=O)c2ccc[nH]2)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(CNC(=O)c2ccc[nH]2)o1; [None]; [None]; [0]
+COc1cc(CCCNC(=O)c2ccc[nH]2)ccc1O; [None]; [None]; [0]
+O=C(NCc1cccc(Br)c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc2ccccc2c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc(O)c(F)c1)c1ccc[nH]1; [None]; [None]; [0]
+Cn1cc(CNC(=O)c2ccc[nH]2)c2ccccc21; [None]; [None]; [0]
+O=C(NCc1ccc(O)cc1O)c1ccc[nH]1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
+O=C(NCc1cnn2ncccc12)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1c[nH]c2cnccc12)c1ccc[nH]1; [None]; [None]; [0]
+Nc1cc(CNC(=O)c2ccc[nH]2)ccn1; [None]; [None]; [0]
+O=C(NCCOc1ccccc1Cl)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc(F)c(Cl)c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1[nH]cnc1-c1ccc(F)cc1)c1ccc[nH]1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1cc(O)ccc1Cl)c1ccc[nH]1; [None]; [None]; [0]
+Cc1ccc(CO)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1cnc(O)c(Cl)c1)c1ccc[nH]1; [None]; [None]; [0]
+NC(=O)c1cc(CNC(=O)c2ccc[nH]2)c[nH]1; [None]; [None]; [0]
+Clc1ccccc1OCc1nnc2ccccn12; [None]; [None]; [0]
+Fc1ccc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1nnc2ccccn12; [None]; [None]; [0]
+Oc1ccc(Cl)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+Oc1ncc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
+NC(=O)c1cc(-c2nnc3ccccn23)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+COc1ccc(-c2nnc3ccccn23)cc1OC; [None]; [None]; [0]
+Cc1nc2ccc(-c3nnc4ccccn34)cc2[nH]1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3nnc4ccccn34)ccc12; [None]; [None]; [0]
+CCOc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+COc1cc(CCc2nnc3ccccn23)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccn2c(-c3cnc4[nH]ccc4c3)nnc2c1; [None]; [None]; [0]
+c1ccc2sc(-c3nnc4ccccn34)nc2c1; [None]; [None]; [0]
+O=C1Cc2cc(-c3nnc4ccccn34)ccc2N1; [None]; [None]; [0]
+Oc1cncc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1nnc2ccccn12; [None]; [None]; [0]
+CNc1nccc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1nnc2ccccn12; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3nnc4ccccn34)ccc12; [None]; [None]; [0]
-Oc1cc(-c2nnc3ccccn23)nc2ccnn12; [None]; [None]; [0]
+Cc1n[nH]c(-c2nnc3ccccn23)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+FC(F)c1cc(-c2nnc3ccccn23)[nH]n1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1nnc2ccccn12; [None]; [None]; [0]
+Clc1cnccc1-c1nnc2ccccn12; [None]; [None]; [0]
+CCc1sccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Oc1c(Cl)cc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
+c1ccn2c(-c3ccc4c(c3)CCN4)nnc2c1; [None]; [None]; [0]
 Cc1oc(-c2nnc3ccccn23)cc1C(=O)[O-]; [None]; [None]; [0]
+Oc1cc(-c2nnc3ccccn23)nc2ccnn12; [None]; [None]; [0]
+CNc1nc(-c2nnc3ccccn23)ncc1F; [None]; [None]; [0]
+O=c1[nH]c2ccc(-c3nnc4ccccn34)cc2[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1nnc2ccccn12; [None]; [None]; [0]
+c1ccn2c(Nc3ccncc3)nnc2c1; [None]; [None]; [0]
+Fc1cc(Br)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Fc1ccc2n[nH]c(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
 CN(c1cccc2[nH]ncc12)c1nnc2ccccn12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Oc1cc(Br)cc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Cc1cc(-c2nnc3ccccn23)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-c3nnc4ccccn34)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2nnc3ccccn23)cc(C)c1O; [None]; [None]; [0]
+CSc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+Oc1c(F)cc(-c2nnc3ccccn23)cc1F; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-c3nnc4ccccn34)ccc12; [None]; [None]; [0]
+c1ccc2c(CCc3nnc4ccccn34)c[nH]c2c1; [None]; [None]; [0]
+c1ccc2c(COc3nnc4ccccn34)cccc2c1; [None]; [None]; [0]
 Fc1ccc(-c2ncoc2-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Fc1ccc(Oc2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1nnc2ccccn12; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Fc1ccc(CCc2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Fc1ccc(COc2nnc3ccccn23)c(F)c1; [None]; [None]; [0]
+Fc1cccc(Cl)c1CNc1nnc2ccccn12; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CCOc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccc2nc(-c3nnc4ccccn34)ncc2c1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-c1nnc2ccccn12; [None]; [None]; [0]
+COc1ncccc1-c1nnc2ccccn12; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
+COc1cc(-c2nnc3ccccn23)cc(OC)c1OC; [None]; [None]; [0]
+c1ccn2c(-c3cnc4cccnn34)nnc2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+COc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccn2c(-c3ccc(N4CCOCC4)cc3)nnc2c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nnc3ccccn23)c1)C1CC1; [None]; [None]; [0]
+c1ccc2[nH]c(-c3nnc4ccccn34)nc2c1; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3nnc4ccccn34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(Nc2nnc3ccccn23)sn1; [None]; [None]; [0]
+c1ccc2c(-c3nnc4ccccn34)nccc2c1; [None]; [None]; [0]
+c1cnc(Nc2nnc3ccccn23)nc1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(-c3nnc4ccccn34)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+OCCOc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1cc(-c2nnc3ccccn23)cc(C2CCNCC2)c1; [None]; [None]; [0]
+O=C(c1ccc(-c2nnc3ccccn23)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-c2nnc3ccccn23)nc1)N1CCOCC1; [None]; [None]; [0]
+c1ccn2c(Nc3ccncn3)nnc2c1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
 O=S1(=O)Cc2ccc(-c3nnc4ccccn34)cc2C1; [None]; [None]; [0]
+FC(F)(F)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-c2nnc3ccccn23)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(c2nnc3ccccn23)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](c2nnc3ccccn23)C1; [None]; [None]; [0]
 CC(C)c1cc(-c2nnc3ccccn23)nc(N)n1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-c3nnc4ccccn34)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Brc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+COc1cc(CNC(=O)c2ccc[nH]2)cc(OC)c1; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(CNC(=O)c3ccc[nH]3)ccc12; [None]; [None]; [0]
+COc1ccc(CNC(=O)c2ccc[nH]2)cc1OC; [None]; [None]; [0]
+Cc1nc2ccc(CNC(=O)c3ccc[nH]3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
+COc1cc(CCCNC(=O)c2ccc[nH]2)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+O=C(NCc1cnc2[nH]ccc2c1)c1ccc[nH]1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+O=C(NCc1cncc(O)c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1nc2ccccc2s1)c1ccc[nH]1; [None]; [None]; [0]
+O=C1Cc2cc(CNC(=O)c3ccc[nH]3)ccc2N1; [None]; [None]; [0]
+C[C@@H](CNC(=O)c1ccc[nH]1)CC(N)=O; [None]; [None]; [0]
+CNc1nccc(CNC(=O)c2ccc[nH]2)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)CNC(=O)c3ccc[nH]3)ccc12; [None]; [None]; [0]
+Cc1cc(O)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+Cc1n[nH]c(CNC(=O)c2ccc[nH]2)c1C; [None]; [None]; [0]
+O=C(NCc1cc(C(F)F)n[nH]1)c1ccc[nH]1; [None]; [None]; [0]
+CN(CNC(=O)c1ccc[nH]1)c1cccc(Cl)c1; [None]; [None]; [0]
+O=C(NCc1ccncc1Cl)c1ccc[nH]1; [None]; [None]; [0]
+CCc1sccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1cc(Cl)c(O)c(Cl)c1)c1ccc[nH]1; [None]; [None]; [0]
+CNc1nc(CNC(=O)c2ccc[nH]2)ncc1F; [None]; [None]; [0]
+O=C(NCc1ccc2c(c1)CCN2)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1cc(O)n2nccc2n1)c1ccc[nH]1; [None]; [None]; [0]
+Cc1oc(CNC(=O)c2ccc[nH]2)cc1C(=O)[O-]; [None]; [None]; [0]
+O=C(NCc1ccc2[nH]c(=O)[nH]c2c1)c1ccc[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCNc1ccncc1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc(Br)cc1F)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1[nH]nc2ccc(F)cc12)c1ccc[nH]1; [None]; [None]; [0]
+CN(CNC(=O)c1ccc[nH]1)c1cccc2[nH]ncc12; [None]; [None]; [0]
+CNC(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+O=C(NCc1cc(O)cc(Br)c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+Cc1cc(CNC(=O)c2ccc[nH]2)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(CNC(=O)c3ccc[nH]3)cc2o1; [None]; [None]; [0]
+Cc1cc(CNC(=O)c2ccc[nH]2)cc(C)c1O; [None]; [None]; [0]
+O=C(NCc1cc(F)c(O)c(F)c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc2c(=O)[nH][nH]c2c1)c1ccc[nH]1; [None]; [None]; [0]
+CSc1cccc(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
+O=C(NCCCc1c[nH]c2ccccc12)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCOCc1cccc2ccccc12)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ocnc1-c1ccc(F)cc1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCOc1ccc(F)cc1F)c1ccc[nH]1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1cn[nH]c1-c1ccc(Cl)cc1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCCCc1ccc(F)cc1F)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCOCc1ccc(F)cc1F)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCNCc1c(F)cccc1Cl)c1ccc[nH]1; [None]; [None]; [0]
+Cc1cc(NCNC(=O)c2ccc[nH]2)sn1; [None]; [None]; [0]
+O=C(NCNc1ccncn1)c1ccc[nH]1; [None]; [None]; [0]
+CC1(COCNC(=O)c2ccc[nH]2)COC1; [None]; [None]; [0]
+COc1ccc(CNCNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+O=C(NCNC1CN(C(=O)C2CC2)C1)c1ccc[nH]1; [None]; [None]; [0]
+Cc1nc(NCNC(=O)c2ccc[nH]2)sc1C; [None]; [None]; [0]
+Cc1cc(NCNC(=O)c2ccc[nH]2)nn1C; [None]; [None]; [0]
+O=C(NCNC(=O)c1ccco1)c1ccc[nH]1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)NCNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+O=C(NCNc1ccc(F)cn1)c1ccc[nH]1; [None]; [None]; [0]
+Cc1cc(NCNC(=O)c2ccc[nH]2)ncc1F; [None]; [None]; [0]
+O=C(NCNc1ccccn1)c1ccc[nH]1; [None]; [None]; [0]
+Nc1c(-c2cccc(O)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2cccc3ncccc23)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2c(Cl)ccc3c2OCO3)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2ccc(Cl)c(O)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2n[nH]c3ccccc23)cnn1-c1ccccc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
+Nc1c(-c2c(Cl)cccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(Oc2ccc(F)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)c(F)c1; [None]; [None]; [0]
+Nc1c(-c2ccc(O)cc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2ccc(O)cc2F)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1nccc(-c2cnn(-c3ccccc3)c2N)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnn(-c4ccccc4)c3N)cc2[nH]1; [None]; [None]; [0]
+Nc1c(-c2cn[nH]c2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2ccc(-c3ccc(O)cc3O)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
+COc1cc(-c2cnn(-c3ccccc3)c2N)ccc1O; [None]; [None]; [0]
+Nc1c(-c2ccc(C(=O)[O-])cc2)cnn1-c1ccccc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)o1; [None]; [None]; [0]
+COc1cc(CCc2cnn(-c3ccccc3)c2N)ccc1O; [None]; [None]; [0]
+Nc1c(-c2cccc(Br)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2ccc3ccccc3c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2ccc(O)c(F)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Cn1cc(-c2cnn(-c3ccccc3)c2N)c2ccccc21; [None]; [None]; [0]
+Nc1c(-c2ccc(O)cc2O)cnn1-c1ccccc1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cnn(-c3ccccc3)c2N)c1; [None]; [None]; [0]
+Nc1c(-c2cnn3ncccc23)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2c[nH]c3cnccc23)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1cc(-c2cnn(-c3ccccc3)c2N)ccn1; [None]; [None]; [0]
+Nc1c(COc2ccccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2ccc(F)c(Cl)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2[nH]cnc2-c2ccc(F)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2cc(O)ccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2cnc(O)c(Cl)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cnn(-c3ccccc3)c2N)c[nH]1; [None]; [None]; [0]
+CN(C)c1ccc(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccn2c(-c3ccn4nccc4n3)nnc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nnc3ccccn23)c(C)c1; [None]; [None]; [0]
+c1ccc(-n2cccn2)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+c1ccc2c(-c3nnc4ccccn34)c[nH]c2c1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+COc1cc(OC)c(-c2nnc3ccccn23)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3nnc4ccccn34)[nH]c2c1; [None]; [None]; [0]
+c1ccn2c(-c3ccc4c(c3)CCO4)nnc2c1; [None]; [None]; [0]
+c1ccc(-c2cc(-c3nnc4ccccn34)n[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+c1ccn2c(-c3scc4c3OCCO4)nnc2c1; [None]; [None]; [0]
+c1cc2c(c(-c3nnc4ccccn34)c1)OCO2; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccc2ncc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](c2nnc3ccccn23)CC1; [None]; [None]; [0]
+Nc1nc(-c2nnc3ccccn23)cs1; [None]; [None]; [0]
+Clc1cccc(-n2ccc(-c3nnc4ccccn34)n2)c1; [None]; [None]; [0]
+CC1(COc2nnc3ccccn23)COC1; [None]; [None]; [0]
+COc1cccc(C(=O)Nc2nnc3ccccn23)c1; [None]; [None]; [0]
+CSc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+c1ccc2sc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3nnc4ccccn34)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-c2nnc3ccccn23)nc(N)n1; [None]; [None]; [0]
+Fc1ccc(-c2nnc3ccccn23)c(Cl)c1; [None]; [None]; [0]
+Brc1cnc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
+O=C1CCc2cc(-c3nnc4ccccn34)ccc2N1; [None]; [None]; [0]
+CCc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+COc1ccc(CNc2nnc3ccccn23)cc1; [None]; [None]; [0]
+Clc1ccc(-c2nnc3ccccn23)c(Cl)c1; [None]; [None]; [0]
 O=C(C1CC1)N1CC(Nc2nnc3ccccn23)C1; [None]; [None]; [0]
-Fc1ccc2[nH]c(Cc3nnc4ccccn34)nc2c1F; [None]; [None]; [0]
+c1ccn2c(-c3ncc4cccn4n3)nnc2c1; [None]; [None]; [0]
+COc1cc(-c2nnc3ccccn23)ccc1N1CCOCC1; [None]; [None]; [0]
+c1ccn2nc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
+Cn1cc(-c2nnc3ccccn23)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3nnc4ccccn34)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
+Oc1ccc2cccc(-c3nnc4ccccn34)c2c1; [None]; [None]; [0]
+COc1cc(F)c(-c2nnc3ccccn23)cc1OC; [None]; [None]; [0]
+COc1cc(-c2nnc3ccccn23)ccc1Cl; [None]; [None]; [0]
+OCCn1cc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
+Clc1cnc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
+Cc1csc2c(-c3nnc4ccccn34)ncnc12; [None]; [None]; [0]
+Cc1nc(Nc2nnc3ccccn23)sc1C; [None]; [None]; [0]
+Cc1cc(Nc2nnc3ccccn23)nn1C; [None]; [None]; [0]
 Nc1cc(-c2nnc3ccccn23)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
+COc1cc(-c2nnc3ccccn23)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2nnc3ccccn23)cc1; [None]; [None]; [0]
+O=S(=O)(CCO)c1ccc(Cc2nnc3ccccn23)cc1; [None]; [None]; [0]
+O=C(Nc1nnc2ccccn12)c1ccco1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](c2nnc3ccccn23)CC1; [None]; [None]; [0]
+CCNC(=O)N1CCC(c2nnc3ccccn23)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1nnc3ccccn13)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
+c1ccn2c(-c3ccc4cn[nH]c4c3)nnc2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)Nc2nnc3ccccn23)cc1; [None]; [None]; [0]
+CCn1cc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+c1cncc(-c2ccnc(-c3nnc4ccccn34)c2)c1; [None]; [None]; [0]
+c1ccc2oc(-c3nnc4ccccn34)cc2c1; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+c1ccn2c(-c3ncc4sccc4n3)nnc2c1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+O=C(Nc1cccc(-c2nnc3ccccn23)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-c3nnc4ccccn34)[nH]c2c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2nnc3ccccn23)c1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3nnc4ccccn34)[nH]c2c1; [None]; [None]; [0]
+CCc1cccc(-c2nnc3ccccn23)n1; [None]; [None]; [0]
 c1ccn2c(-c3ncn4c3CCCC4)nnc2c1; [None]; [None]; [0]
+Cc1cc(-c2nnc3ccccn23)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1ncc2cc(-c3nnc4ccccn34)ccc21; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3nnc4ccccn34)ccc21; [None]; [None]; [0]
+CN(C)c1ccc(-c2nnc3ccccn23)cn1; [None]; [None]; [0]
+Cc1n[nH]c2cc(-c3nnc4ccccn34)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-c3nnc4ccccn34)cn2)CC1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+OCCc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
 O=C(Nc1nnc2ccccn12)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nnc3ccccn23)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3nnc4ccccn34)cc2)n1C; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-c1nnc2ccccn12; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2nnc3ccccn23)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2nnc3ccccn23)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2nnc3ccccn23)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2nnc3ccccn23)cc1; [None]; [None]; [0]
+Fc1ccc(Nc2nnc3ccccn23)nc1; [None]; [None]; [0]
 Cc1cc(Nc2nnc3ccccn23)ncc1F; [None]; [None]; [0]
-O=C(NCc1ccc(O)cc1)c1ccc[nH]1; [None]; [None]; [0]
+c1ccc(Nc2nnc3ccccn23)nc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-c2nnc3ccccn23)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-c1nnc2ccccn12; [None]; [None]; [0]
+O=C(NCc1cccc(O)c1)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1cccc2ncccc12)c1ccc[nH]1; [None]; [None]; [0]
-CCc1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+O=C(NCc1c(Cl)ccc2c1OCO2)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1ccc(Cl)c(O)c1)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1n[nH]c2ccccc12)c1ccc[nH]1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-Cn1c(CNC(=O)c2ccc[nH]2)nc2ccccc21; [None]; [None]; [0]
 O=C(NCc1c(Cl)cccc1Cl)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCOc1ccc(F)cc1)c1ccc[nH]1; [None]; [None]; [0]
-NC(=O)c1ccc(CNC(=O)c2ccc[nH]2)c(F)c1; [None]; [None]; [0]
 NC(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(CNC(=O)c2ccc[nH]2)c(F)c1; [None]; [None]; [0]
 O=C(NCc1ccc(O)cc1Cl)c1ccc[nH]1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc(O)cc1F)c1ccc[nH]1; [None]; [None]; [0]
 Nc1nccc(CNC(=O)c2ccc[nH]2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+Cc1nc2c(F)cc(CNC(=O)c3ccc[nH]3)cc2[nH]1; [None]; [None]; [0]
 O=C(NCc1cn[nH]c1Cl)c1ccc[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1ccc(-c2ccc(O)cc2O)cc1)c1ccc[nH]1; [None]; [None]; [0]
 COc1cc(CNC(=O)c2ccc[nH]2)ccc1O; [None]; [None]; [0]
 O=C([O-])c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
 COC(=O)c1ccc(CNC(=O)c2ccc[nH]2)o1; [None]; [None]; [0]
 COc1cc(CCCNC(=O)c2ccc[nH]2)ccc1O; [None]; [None]; [0]
-O=C(NCCOc1cccc(Cl)c1)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1cccc(Br)c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc2ccccc2c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc(O)c(F)c1)c1ccc[nH]1; [None]; [None]; [0]
+Cn1cc(CNC(=O)c2ccc[nH]2)c2ccccc21; [None]; [None]; [0]
 O=C(NCc1ccc(O)cc1O)c1ccc[nH]1; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
 O=C(NCc1cnn2ncccc12)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1ccc(F)c(Cl)c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1c[nH]c2cnccc12)c1ccc[nH]1; [None]; [None]; [0]
+Nc1cc(CNC(=O)c2ccc[nH]2)ccn1; [None]; [None]; [0]
 O=C(NCCOc1ccccc1Cl)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NC[C@H](CO)c1ccccc1)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCCCc1ccc(Cl)cc1)c1ccc[nH]1; [None]; [None]; [0]
-Cc1ccc(O)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1ccc(F)c(Cl)c1)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1[nH]cnc1-c1ccc(F)cc1)c1ccc[nH]1; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1cc(O)ccc1Cl)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1c(Cl)ccc2c1OCO2)c1ccc[nH]1; [None]; [None]; [0]
 Cc1ccc(CO)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1cnc(O)c(Cl)c1)c1ccc[nH]1; [None]; [None]; [0]
 NC(=O)c1cc(CNC(=O)c2ccc[nH]2)c[nH]1; [None]; [None]; [0]
@@ -62486,217 +45269,204 @@ COc1cc(CNC(=O)c2ccc[nH]2)cc(OC)c1; [None]; [None]; [0]
 COc1ccc(CNC(=O)c2ccc[nH]2)cc1OC; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(CNC(=O)c3ccc[nH]3)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(CNC(=O)c3ccc[nH]3)cc2[nH]1; [None]; [None]; [0]
-O=C(NCc1cnc2[nH]ccc2c1)c1ccc[nH]1; [None]; [None]; [0]
+CCOc1cccc(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
+COc1cc(CCCNC(=O)c2ccc[nH]2)cc(OC)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+O=C(NCc1cnc2[nH]ccc2c1)c1ccc[nH]1; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
 O=C(NCc1nc2ccccc2s1)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1cncc(O)c1)c1ccc[nH]1; [None]; [None]; [0]
 O=C1Cc2cc(CNC(=O)c3ccc[nH]3)ccc2N1; [None]; [None]; [0]
-CNc1nccc(CNC(=O)c2ccc[nH]2)n1; [None]; [None]; [0]
 C[C@@H](CNC(=O)c1ccc[nH]1)CC(N)=O; [None]; [None]; [0]
+CNc1nccc(CNC(=O)c2ccc[nH]2)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)CNC(=O)c3ccc[nH]3)ccc12; [None]; [None]; [0]
-CN(CNC(=O)c1ccc[nH]1)c1cccc(Cl)c1; [None]; [None]; [0]
+Cc1n[nH]c(CNC(=O)c2ccc[nH]2)c1C; [None]; [None]; [0]
 Cc1cc(O)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+O=C(NCc1cc(C(F)F)n[nH]1)c1ccc[nH]1; [None]; [None]; [0]
+CN(CNC(=O)c1ccc[nH]1)c1cccc(Cl)c1; [None]; [None]; [0]
+O=C(NCc1ccncc1Cl)c1ccc[nH]1; [None]; [None]; [0]
 CCc1sccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1cc(Cl)c(O)c(Cl)c1)c1ccc[nH]1; [None]; [None]; [0]
+CNc1nc(CNC(=O)c2ccc[nH]2)ncc1F; [None]; [None]; [0]
 O=C(NCc1ccc2c(c1)CCN2)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1cc(O)n2nccc2n1)c1ccc[nH]1; [None]; [None]; [0]
 Cc1oc(CNC(=O)c2ccc[nH]2)cc1C(=O)[O-]; [None]; [None]; [0]
-Cn1ncc(N)c1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1ccc2[nH]c(=O)[nH]c2c1)c1ccc[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCNc1ccncc1)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1ccc(Br)cc1F)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1[nH]nc2ccc(F)cc12)c1ccc[nH]1; [None]; [None]; [0]
-Cc1n[nH]c(CNC(=O)c2ccc[nH]2)c1C; [None]; [None]; [0]
 CNC(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
 CN(CNC(=O)c1ccc[nH]1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 O=C(NCc1cc(O)cc(Br)c1)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NC1CC1)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
 Cc1cc(CNC(=O)c2ccc[nH]2)ccc1C(N)=O; [None]; [None]; [0]
 Cc1nc2ccc(CNC(=O)c3ccc[nH]3)cc2o1; [None]; [None]; [0]
+Cc1cc(CNC(=O)c2ccc[nH]2)cc(C)c1O; [None]; [None]; [0]
 O=C(NCc1cc(F)c(O)c(F)c1)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1ccc2c(=O)[nH][nH]c2c1)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1[nH]cnc1-c1ccc(F)cc1)c1ccc[nH]1; [None]; [None]; [0]
 CSc1cccc(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
-O=C(NCOCc1ccccc1)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCCCc1c[nH]c2ccccc12)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCOCc1cccc2ccccc12)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1ocnc1-c1ccc(F)cc1)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCOc1ccc(F)cc1F)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCOc1ccccc1F)c1ccc[nH]1; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1ccc(F)cc1Cl)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCc1cn[nH]c1-c1ccc(Cl)cc1)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCOCc1ccc(F)cc1F)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCCCc1ccc(F)cc1F)c1ccc[nH]1; [None]; [None]; [0]
 O=C(NCNCc1c(F)cccc1Cl)c1ccc[nH]1; [None]; [None]; [0]
-CC(=O)N(C)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-CCOc1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-O=C(NCc1ncc2ccccc2n1)c1ccc[nH]1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-COc1ncccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-CS(=O)(=O)c1cccc(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
-COc1cc(CNC(=O)c2ccc[nH]2)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(CNC(=O)c3ccc[nH]3)c2c1; [None]; [None]; [0]
-O=C(NCc1cnc2cccnn12)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1cccc(O)c1)c1ccc[nH]1; [None]; [None]; [0]
-COc1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-O=C(NCc1ccc(N2CCOCC2)cc1)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1cccc(NC(=O)C2CC2)c1)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1nc2ccccc2[nH]1)c1ccc[nH]1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(CNC(=O)c3ccc[nH]3)cc2)CC1; [None]; [None]; [0]
-O=C(NCn1ncc2ccccc2c1=O)c1ccc[nH]1; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(CNC(=O)c2ccc[nH]2)cn1; [None]; [None]; [0]
-O=C(NCNc1ncccn1)c1ccc[nH]1; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(CNC(=O)c3ccc[nH]3)cn2)c1; [None]; [None]; [0]
-O=C(Nc1ccccc1)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-O=C(NCCc1nccc2ccccc12)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1ccc(OCCO)cc1)c1ccc[nH]1; [None]; [None]; [0]
-CC(=O)NCc1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-O=C(NCc1cccc(C2CCNCC2)c1)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1ccc(C(=O)N2CCOCC2)cc1)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1ccc(C(=O)N2CCOCC2)cn1)c1ccc[nH]1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-C[C@@H](O)COc1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-O=C(NCc1ccc2c(c1)CS(=O)(=O)C2)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1ccc(C(F)(F)F)cc1)c1ccc[nH]1; [None]; [None]; [0]
-CN(C)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-CN(C)S(=O)(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-Cc1nc(C)c(CNC(=O)c2ccc[nH]2)s1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(CNC(=O)c2ccc[nH]2)CC1; [None]; [None]; [0]
-O=C(NC[C@H]1CCN(C(=O)c2ccccc2)C1)c1ccc[nH]1; [None]; [None]; [0]
-CC(C)c1cc(CNC(=O)c2ccc[nH]2)nc(N)n1; [None]; [None]; [0]
-CCNS(=O)(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(CNC(=O)c3ccc[nH]3)c2)CC1; [None]; [None]; [0]
-CCCOc1ccc(CNC(=O)c2ccc[nH]2)nc1; [None]; [None]; [0]
-Cc1c(CNC(=O)c2ccc[nH]2)cccc1C(=O)[O-]; [None]; [None]; [0]
-O=C(NCc1ccc(Br)cc1)c1ccc[nH]1; [None]; [None]; [0]
-CN(C)c1ccc(CNC(=O)c2ccc[nH]2)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cl)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1c[nH]c2ccccc12)c1ccc[nH]1; [None]; [None]; [0]
-COc1cc(OC)c(CNC(=O)c2ccc[nH]2)cc1Cl; [None]; [None]; [0]
-CC(C)c1ccc2nc(CNC(=O)c3ccc[nH]3)[nH]c2c1; [None]; [None]; [0]
-O=C(NCc1ccc2c(c1)CCO2)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1cc2ccccc2cn1)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1cc(-c2ccccc2)[nH]n1)c1ccc[nH]1; [None]; [None]; [0]
-CC(=O)Nc1cccc(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1cccc2c1OCO2)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1scc2c1OCCO2)c1ccc[nH]1; [None]; [None]; [0]
-CC(C)(C)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-O=C(NCc1cnc2ccccc2c1)c1ccc[nH]1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-CC(C)(C)c1ccc(CNC(=O)c2ccc[nH]2)cn1; [None]; [None]; [0]
-CC(=O)N[C@@H]1CC[C@@H](CNC(=O)c2ccc[nH]2)CC1; [None]; [None]; [0]
-COc1cccc(C(=O)NCNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(CNC(=O)c3ccc[nH]3)cc2)CC1; [None]; [None]; [0]
-O=C(NCc1ncc(Br)cn1)c1ccc[nH]1; [None]; [None]; [0]
-Cc1cc(CNC(=O)c2ccc[nH]2)nc(N)n1; [None]; [None]; [0]
-O=C(NCc1ccc(Cl)cc1Cl)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1ncc2cccn2n1)c1ccc[nH]1; [None]; [None]; [0]
-COc1cc(CNC(=O)c2ccc[nH]2)ccc1N1CCOCC1; [None]; [None]; [0]
-O=C(NCc1cc2ccccn2n1)c1ccc[nH]1; [None]; [None]; [0]
-Cn1cc(CNC(=O)c2ccc[nH]2)c(C(F)(F)F)n1; [None]; [None]; [0]
-CC1(C)Cc2cc(CNC(=O)c3ccc[nH]3)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(CNC(=O)c3ccc[nH]3)c2c1; [None]; [None]; [0]
-COc1cc(F)c(CNC(=O)c2ccc[nH]2)cc1OC; [None]; [None]; [0]
-O=C(NCc1cccc2ccc(O)cc12)c1ccc[nH]1; [None]; [None]; [0]
-COc1cc(CNC(=O)c2ccc[nH]2)ccc1Cl; [None]; [None]; [0]
-O=C(NCc1ncc(Cl)cn1)c1ccc[nH]1; [None]; [None]; [0]
-Cc1csc2c(CNC(=O)c3ccc[nH]3)ncnc12; [None]; [None]; [0]
-Nc1cc(CNC(=O)c2ccc[nH]2)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(CNC(=O)c2ccc[nH]2)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-CO[C@@H]1CC[C@@H](CNC(=O)c2ccc[nH]2)CC1; [None]; [None]; [0]
-CCNC(=O)N1CCC(CNC(=O)c2ccc[nH]2)CC1; [None]; [None]; [0]
-O=C(Nc1cn[nH]c1)c1cccc(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
-COc1ccc2c(c1)c(CNC(=O)c1ccc[nH]1)cn2C; [None]; [None]; [0]
-COc1ccc2oc(CNC(=O)c3ccc[nH]3)cc2c1; [None]; [None]; [0]
-O=C(NCc1ccc2cn[nH]c2c1)c1ccc[nH]1; [None]; [None]; [0]
-C[NH+](C)Cc1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-CCn1cc(CNC(=O)c2ccc[nH]2)cn1; [None]; [None]; [0]
-CNC(=O)c1ccc(OC)c(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
-O=C(NCc1cc(-c2cccnc2)ccn1)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1cc2ccccc2o1)c1ccc[nH]1; [None]; [None]; [0]
-Cn1cc(Br)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1ncc2sccc2n1)c1ccc[nH]1; [None]; [None]; [0]
-CC(C)c1nn(C)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-O=C(NCc1cccc(NC(=O)N2CCCC2)c1)c1ccc[nH]1; [None]; [None]; [0]
-COc1ccc2nc(CNC(=O)c3ccc[nH]3)[nH]c2c1; [None]; [None]; [0]
-O=C(NCc1ccc(OC(F)(F)F)cc1)c1ccc[nH]1; [None]; [None]; [0]
-COc1ccc(F)c(C(=O)NCNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
-Cn1cc(CNC(=O)c2ccc[nH]2)c2ccccc21; [None]; [None]; [0]
-CC(C)(O)c1ccc2cc(CNC(=O)c3ccc[nH]3)[nH]c2c1; [None]; [None]; [0]
-CCc1cccc(CNC(=O)c2ccc[nH]2)n1; [None]; [None]; [0]
-O=C(NCc1ncn2c1CCCC2)c1ccc[nH]1; [None]; [None]; [0]
-Cc1cc(CNC(=O)c2ccc[nH]2)cc(C)c1OCCO; [None]; [None]; [0]
-Cn1ncc2cc(CNC(=O)c3ccc[nH]3)ccc21; [None]; [None]; [0]
-Cn1nc(Cl)c2cc(CNC(=O)c3ccc[nH]3)ccc21; [None]; [None]; [0]
-CN(C)c1ccc(CNC(=O)c2ccc[nH]2)cn1; [None]; [None]; [0]
-Cc1n[nH]c2cc(CNC(=O)c3ccc[nH]3)ccc12; [None]; [None]; [0]
-CC(=O)N1CCC(n2cc(CNC(=O)c3ccc[nH]3)cn2)CC1; [None]; [None]; [0]
-O=C(NCc1cccc(N2CCCC2=O)c1)c1ccc[nH]1; [None]; [None]; [0]
-O=C(NCc1ccc(CCO)cc1)c1ccc[nH]1; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(CNC(=O)c2ccc[nH]2)c(Cl)c1; [None]; [None]; [0]
-O=C(NCNC(=O)c1ccc[nH]1)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
-Cc1ncc(-c2ccc(CNC(=O)c3ccc[nH]3)cc2)n1C; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-COc1cc(-c2cnn(C)c2)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-COc1cc(N2CCNCC2)ccc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
-Cn1nc(CNC(=O)c2ccc[nH]2)cc1C(C)(C)O; [None]; [None]; [0]
-CNC(=O)c1ccc(CNC(=O)c2ccc[nH]2)c(OC)c1; [None]; [None]; [0]
-CCNC(=O)c1ccc(CNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
-CNC(=O)c1ccc(C)c(CNC(=O)c2ccc[nH]2)c1; [None]; [None]; [0]
+Cc1cc(NCNC(=O)c2ccc[nH]2)sn1; [None]; [None]; [0]
+O=C(NCNc1ccncn1)c1ccc[nH]1; [None]; [None]; [0]
+CC1(COCNC(=O)c2ccc[nH]2)COC1; [None]; [None]; [0]
+COc1ccc(CNCNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+O=C(NCNC1CN(C(=O)C2CC2)C1)c1ccc[nH]1; [None]; [None]; [0]
+Cc1nc(NCNC(=O)c2ccc[nH]2)sc1C; [None]; [None]; [0]
+Cc1cc(NCNC(=O)c2ccc[nH]2)nn1C; [None]; [None]; [0]
+O=C(NCNC(=O)c1ccco1)c1ccc[nH]1; [None]; [None]; [0]
+CC(C)(C)c1ccc(C(=O)NCNC(=O)c2ccc[nH]2)cc1; [None]; [None]; [0]
+O=C(NCNc1ccc(F)cn1)c1ccc[nH]1; [None]; [None]; [0]
+Cc1cc(NCNC(=O)c2ccc[nH]2)ncc1F; [None]; [None]; [0]
+O=C(NCNc1ccccn1)c1ccc[nH]1; [None]; [None]; [0]
+Nc1c(-c2cccc(O)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2cccc3ncccc23)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2c(Cl)ccc3c2OCO3)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2ccc(Cl)c(O)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2n[nH]c3ccccc23)cnn1-c1ccccc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
+Nc1c(-c2c(Cl)cccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(Oc2ccc(F)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)c(F)c1; [None]; [None]; [0]
+Nc1c(-c2ccc(O)cc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2ccc(O)cc2F)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1nccc(-c2cnn(-c3ccccc3)c2N)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnn(-c4ccccc4)c3N)cc2[nH]1; [None]; [None]; [0]
+Nc1c(-c2cn[nH]c2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
 Nc1c(-c2ccc(-c3ccc(O)cc3O)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
-Cc1ccc(C(=O)NCCO)cc1CNC(=O)c1ccc[nH]1; [None]; [None]; [0]
+COc1cc(-c2cnn(-c3ccccc3)c2N)ccc1O; [None]; [None]; [0]
+Nc1c(-c2ccc(C(=O)[O-])cc2)cnn1-c1ccccc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)o1; [None]; [None]; [0]
+COc1cc(CCc2cnn(-c3ccccc3)c2N)ccc1O; [None]; [None]; [0]
+Nc1c(-c2cccc(Br)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2ccc3ccccc3c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2ccc(O)c(F)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Cn1cc(-c2cnn(-c3ccccc3)c2N)c2ccccc21; [None]; [None]; [0]
+Nc1c(-c2ccc(O)cc2O)cnn1-c1ccccc1; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2cnn(-c3ccccc3)c2N)c1; [None]; [None]; [0]
 Nc1c(-c2cnn3ncccc23)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2c[nH]c3cnccc23)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1cc(-c2cnn(-c3ccccc3)c2N)ccn1; [None]; [None]; [0]
+Nc1c(COc2ccccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2ccc(F)c(Cl)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2[nH]cnc2-c2ccc(F)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2cc(O)ccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2cnc(O)c(Cl)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cnn(-c3ccccc3)c2N)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2cnn(-c3ccccc3)c2N)c1; [None]; [None]; [0]
+COc1ccc(-c2cnn(-c3ccccc3)c2N)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3cnn(-c4ccccc4)c3N)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnn(-c4ccccc4)c3N)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2cnn(-c3ccccc3)c2N)c1; [None]; [None]; [0]
+COc1cc(CCc2cnn(-c3ccccc3)c2N)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
+Nc1c(-c2cnc3[nH]ccc3c2)cnn1-c1ccccc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
+Nc1c(-c2nc3ccccc3s2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2cncc(O)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2ccc3c(c2)CC(=O)N3)cnn1-c1ccccc1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+CNc1nccc(-c2cnn(-c3ccccc3)c2N)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)c3cnn(-c4ccccc4)c3N)ccc12; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Cc1n[nH]c(-c2cnn(-c3ccccc3)c2N)c1C; [None]; [None]; [0]
+Nc1c(-c2cc(C(F)F)n[nH]2)cnn1-c1ccccc1; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2ccncc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+CCc1sccc1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2cc(Cl)c(O)c(Cl)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+CNc1nc(-c2cnn(-c3ccccc3)c2N)ncc1F; [None]; [None]; [0]
+Nc1c(-c2ccc3c(c2)CCN3)cnn1-c1ccccc1; [None]; [None]; [0]
 Nc1c(-c2cc(O)n3nccc3n2)cnn1-c1ccccc1; [None]; [None]; [0]
 Cc1oc(-c2cnn(-c3ccccc3)c2N)cc1C(=O)[O-]; [None]; [None]; [0]
-O=C1Nc2cc(-c3ccc(O)cc3)ccc2C12CCCC2; [None]; [None]; [0]
+Nc1c(-c2ccc3[nH]c(=O)[nH]c3c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(Nc2ccncc2)cnn1-c1ccccc1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2ccc(Br)cc2F)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2[nH]nc3ccc(F)cc23)cnn1-c1ccccc1; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2cnn(-c3ccccc3)c2N)cc1; [None]; [None]; [0]
+CN(c1cnn(-c2ccccc2)c1N)c1cccc2[nH]ncc12; [None]; [None]; [0]
+Nc1c(-c2cc(O)cc(Br)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(-c2ccc(C(=O)NC3CC3)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
+Cc1nc2ccc(-c3cnn(-c4ccccc4)c3N)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2cnn(-c3ccccc3)c2N)ccc1C(N)=O; [None]; [None]; [0]
+Cc1cc(-c2cnn(-c3ccccc3)c2N)cc(C)c1O; [None]; [None]; [0]
+Nc1c(-c2cc(F)c(O)c(F)c2)cnn1-c1ccccc1; [None]; [None]; [0]
+CSc1cccc(-c2cnn(-c3ccccc3)c2N)c1; [None]; [None]; [0]
+Nc1c(-c2ccc3c(=O)[nH][nH]c3c2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(CCc2c[nH]c3ccccc23)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(OCc2cccc3ccccc23)cnn1-c1ccccc1; [None]; [None]; [0]
 Nc1c(-c2ocnc2-c2ccc(F)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(Oc2ccc(F)cc2F)cnn1-c1ccccc1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1cnn(-c2ccccc2)c1N; [None]; [None]; [0]
+Nc1c(-c2cn[nH]c2-c2ccc(Cl)cc2)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(OCc2ccc(F)cc2F)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(CCc2ccc(F)cc2F)cnn1-c1ccccc1; [None]; [None]; [0]
+Nc1c(NCc2c(F)cccc2Cl)cnn1-c1ccccc1; [None]; [None]; [0]
+O=C1Nc2cc(-c3cccc(O)c3)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3cccc4ncccc34)ccc2C12CCCC2; [None]; [None]; [0]
-CCc1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1; [None]; [None]; [0]
-O=C1Nc2cc(-c3n[nH]c4ccccc34)ccc2C12CCCC2; [None]; [None]; [0]
+O=C1Nc2cc(-c3c(Cl)ccc4c3OCO4)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3ccc(Cl)c(O)c3)ccc2C12CCCC2; [None]; [None]; [0]
+O=C1Nc2cc(-c3n[nH]c4ccccc34)ccc2C12CCCC2; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1; [None]; [None]; [0]
-Cn1c(-c2ccc3c(c2)NC(=O)C32CCCC2)nc2ccccc21; [None]; [None]; [0]
 O=C1Nc2cc(-c3c(Cl)cccc3Cl)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(Oc3ccc(F)cc3)ccc2C12CCCC2; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)c(F)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1; [None]; [None]; [0]
 O=C1Nc2cc(-c3ccc(O)cc3Cl)ccc2C12CCCC2; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
+O=C1Nc2cc(-c3ccc(O)cc3F)ccc2C12CCCC2; [None]; [None]; [0]
 Nc1nccc(-c2ccc3c(c2)NC(=O)C32CCCC2)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc4c(c3)NC(=O)C43CCCC3)cc2[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
 O=C1Nc2cc(-c3cn[nH]c3Cl)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3ccc(-c4ccc(O)cc4O)cc3)ccc2C12CCCC2; [None]; [None]; [0]
 COc1cc(-c2ccc3c(c2)NC(=O)C32CCCC2)ccc1O; [None]; [None]; [0]
 O=C([O-])c1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)o1; [None]; [None]; [0]
 COc1cc(CCc2ccc3c(c2)NC(=O)C32CCCC2)ccc1O; [None]; [None]; [0]
-O=C1Nc2cc(COc3cccc(Cl)c3)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3cccc(Br)c3)ccc2C12CCCC2; [None]; [None]; [0]
+O=C1Nc2cc(-c3ccc4ccccc4c3)ccc2C12CCCC2; [None]; [None]; [0]
+O=C1Nc2cc(-c3ccc(O)c(F)c3)ccc2C12CCCC2; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(c2)NC(=O)C32CCCC2)c2ccccc21; [None]; [None]; [0]
 O=C1Nc2cc(-c3ccc(O)cc3O)ccc2C12CCCC2; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2ccc3c(c2)NC(=O)C32CCCC2)c1; [None]; [None]; [0]
 O=C1Nc2cc(-c3cnn4ncccc34)ccc2C12CCCC2; [None]; [None]; [0]
-O=C1Nc2cc(COc3ccccc3Cl)ccc2C12CCCC2; [None]; [None]; [0]
+O=C1Nc2cc(-c3c[nH]c4cnccc34)ccc2C12CCCC2; [None]; [None]; [0]
+Nc1cc(-c2ccc3c(c2)NC(=O)C32CCCC2)ccn1; [None]; [None]; [0]
 O=C1Nc2cc(-c3ccc(F)c(Cl)c3)ccc2C12CCCC2; [None]; [None]; [0]
-O=C1Nc2cc(CCc3ccc(Cl)cc3)ccc2C12CCCC2; [None]; [None]; [0]
-O=C1Nc2cc([C@H](CO)c3ccccc3)ccc2C12CCCC2; [None]; [None]; [0]
+O=C1Nc2cc(COc3ccccc3Cl)ccc2C12CCCC2; [None]; [None]; [0]
+O=C1Nc2cc(-c3[nH]cnc3-c3ccc(F)cc3)ccc2C12CCCC2; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
 O=C1Nc2cc(-c3cc(O)ccc3Cl)ccc2C12CCCC2; [None]; [None]; [0]
-O=C1Nc2cc(-c3c(Cl)ccc4c3OCO4)ccc2C12CCCC2; [None]; [None]; [0]
-Cc1ccc(CO)cc1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
 O=C1Nc2cc(-c3cnc(O)c(Cl)c3)ccc2C12CCCC2; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
 NC(=O)c1cc(-c2ccc3c(c2)NC(=O)C32CCCC2)c[nH]1; [None]; [None]; [0]
-COc1cc(OC)cc(-c2ccc3c(c2)NC(=O)C32CCCC2)c1; [None]; [None]; [0]
 COc1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1OC; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc3c(c2)NC(=O)C32CCCC2)c1; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3ccc4c(c3)NC(=O)C43CCCC3)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4c(c3)NC(=O)C43CCCC3)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3c(c2)NC(=O)C32CCCC2)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc3c(c2)NC(=O)C32CCCC2)cc(OC)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1; [None]; [None]; [0]
 O=C1Nc2cc(-c3cnc4[nH]ccc4c3)ccc2C12CCCC2; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1; [None]; [None]; [0]
@@ -62704,15 +45474,19 @@ O=C1Nc2cc(-c3nc4ccccc4s3)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3cncc(O)c3)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Cc2cc(-c3ccc4c(c3)NC(=O)C43CCCC3)ccc2N1; [None]; [None]; [0]
 C[C@H](CC(N)=O)c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
-CNc1nccc(-c2ccc3c(c2)NC(=O)C32CCCC2)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
+CNc1nccc(-c2ccc3c(c2)NC(=O)C32CCCC2)n1; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccc4c(c3)NC(=O)C43CCCC3)ccc12; [None]; [None]; [0]
 Cc1cc(O)ccc1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
+O=C1Nc2cc(-c3cc(C(F)F)n[nH]3)ccc2C12CCCC2; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc3c(c2)NC(=O)C32CCCC2)c1C; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
 CCc1sccc1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
+O=C1Nc2cc(-c3ccncc3Cl)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3cc(Cl)c(O)c(Cl)c3)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3ccc4c(c3)CCN4)ccc2C12CCCC2; [None]; [None]; [0]
+CNc1nc(-c2ccc3c(c2)NC(=O)C32CCCC2)ncc1F; [None]; [None]; [0]
 O=C1Nc2cc(-c3cc(O)n4nccc4n3)ccc2C12CCCC2; [None]; [None]; [0]
 Cc1oc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1C(=O)[O-]; [None]; [None]; [0]
 O=C1Nc2cc(-c3ccc4[nH]c(=O)[nH]c4c3)ccc2C12CCCC2; [None]; [None]; [0]
@@ -62720,267 +45494,556 @@ Cn1ncc(N)c1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
 O=C1Nc2cc(Nc3ccncc3)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3ccc(Br)cc3F)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3[nH]nc4ccc(F)cc34)ccc2C12CCCC2; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3c(c2)NC(=O)C32CCCC2)c1C; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1; [None]; [None]; [0]
-CN(c1ccc2c(c1)NC(=O)C21CCCC1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 O=C1Nc2cc(-c3cc(O)cc(Br)c3)ccc2C12CCCC2; [None]; [None]; [0]
+CN(c1ccc2c(c1)NC(=O)C21CCCC1)c1cccc2[nH]ncc12; [None]; [None]; [0]
 O=C(NC1CC1)c1ccc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc1; [None]; [None]; [0]
 Cc1cc(-c2ccc3c(c2)NC(=O)C32CCCC2)ccc1C(N)=O; [None]; [None]; [0]
-O=C1Nc2cc(-c3cc(F)c(O)c(F)c3)ccc2C12CCCC2; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4c(c3)NC(=O)C43CCCC3)cc2o1; [None]; [None]; [0]
-O=C1Nc2cc(-c3[nH]cnc3-c3ccc(F)cc3)ccc2C12CCCC2; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(c2)NC(=O)C32CCCC2)cc(C)c1O; [None]; [None]; [0]
+O=C1Nc2cc(-c3cc(F)c(O)c(F)c3)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3ccc4c(=O)[nH][nH]c4c3)ccc2C12CCCC2; [None]; [None]; [0]
-CSc1cccc(-c2ccc3c(c2)NC(=O)C32CCCC2)c1; [None]; [None]; [0]
-O=C1Nc2cc(OCc3ccccc3)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(CCc3c[nH]c4ccccc34)ccc2C12CCCC2; [None]; [None]; [0]
+CSc1cccc(-c2ccc3c(c2)NC(=O)C32CCCC2)c1; [None]; [None]; [0]
 O=C1Nc2cc(OCc3cccc4ccccc34)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3ocnc3-c3ccc(F)cc3)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(Oc3ccc(F)cc3F)ccc2C12CCCC2; [None]; [None]; [0]
-O=C1Nc2cc(Oc3ccccc3F)ccc2C12CCCC2; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1ccc2c(c1)NC(=O)C21CCCC1; [None]; [None]; [0]
-O=C1Nc2cc(-c3ccc(F)cc3Cl)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(-c3cn[nH]c3-c3ccc(Cl)cc3)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(OCc3ccc(F)cc3F)ccc2C12CCCC2; [None]; [None]; [0]
-O=C1Nc2cc(CCc3ccc(F)cc3F)ccc2C12CCCC2; [None]; [None]; [0]
 O=C1Nc2cc(NCc3c(F)cccc3Cl)ccc2C12CCCC2; [None]; [None]; [0]
+O=C1Nc2cc(CCc3ccc(F)cc3F)ccc2C12CCCC2; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cccc(O)c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cccc2ncccc12; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(Cl)c(O)c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1n[nH]c2ccccc12; [None]; [None]; [0]
+O=c1c(Cl)cncn1Oc1ccc(F)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
+NC(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(O)cc1Cl; [None]; [None]; [0]
+NC(=O)c1ccc(-n2cncc(Cl)c2=O)c(F)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(O)cc1F; [None]; [None]; [0]
+Nc1nccc(-n2cncc(Cl)c2=O)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+Cc1nc2c(F)cc(-n3cncc(Cl)c3=O)cc2[nH]1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cn[nH]c1Cl; [None]; [None]; [0]
 O=c1c(Cl)cncn1-c1ccc(-c2ccc(O)cc2O)cc1; [None]; [None]; [0]
+COc1cc(F)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+COc1cc(-n2cncc(Cl)c2=O)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-n2cncc(Cl)c2=O)o1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cccc(Br)c1; [None]; [None]; [0]
+COc1cc(CCn2cncc(Cl)c2=O)ccc1O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc2ccccc2c1; [None]; [None]; [0]
+Cn1cc(-n2cncc(Cl)c2=O)c2ccccc21; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(O)c(F)c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(O)cc1O; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
 O=c1c(Cl)cncn1-c1cnn2ncccc12; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+Nc1cc(-n2cncc(Cl)c2=O)ccn1; [None]; [None]; [0]
+O=c1c(Cl)cncn1COc1ccccc1Cl; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cc(O)ccc1Cl; [None]; [None]; [0]
+Cc1ccc(CO)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
+NC(=O)c1cc(-n2cncc(Cl)c2=O)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+COc1ccc(-n2cncc(Cl)c2=O)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-n3cncc(Cl)c3=O)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-n3cncc(Cl)c3=O)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+COc1cc(CCn2cncc(Cl)c2=O)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1nc2ccccc2s1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cncc(O)c1; [None]; [None]; [0]
+O=C1Cc2cc(-n3cncc(Cl)c3=O)ccc2N1; [None]; [None]; [0]
+C[C@H](CC(N)=O)n1cncc(Cl)c1=O; [None]; [None]; [0]
+CNc1nccc(-n2cncc(Cl)c2=O)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)n3cncc(Cl)c3=O)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-n2cncc(Cl)c2=O)c1C; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cc(C(F)F)n[nH]1; [None]; [None]; [0]
+Cc1cc(O)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccncc1Cl; [None]; [None]; [0]
+CCc1sccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cc(Cl)c(O)c(Cl)c1; [None]; [None]; [0]
+CNc1nc(-n2cncc(Cl)c2=O)ncc1F; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
 O=c1c(Cl)cncn1-c1cc(O)n2nccc2n1; [None]; [None]; [0]
 Cc1oc(-n2cncc(Cl)c2=O)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]c2ccc(-n3cncc(Cl)c3=O)cc2[nH]1; [None]; [None]; [0]
+O=c1c(Cl)cncn1Nc1ccncc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(Br)cc1F; [None]; [None]; [0]
+Cn1ncc(N)c1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
+CNC(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+CN(c1cccc2[nH]ncc12)n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cc(O)cc(Br)c1; [None]; [None]; [0]
+Cc1cc(-n2cncc(Cl)c2=O)ccc1C(N)=O; [None]; [None]; [0]
+Cc1nc2ccc(-n3cncc(Cl)c3=O)cc2o1; [None]; [None]; [0]
+Cc1cc(-n2cncc(Cl)c2=O)cc(C)c1O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cc(F)c(O)c(F)c1; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(-n3cncc(Cl)c3=O)ccc12; [None]; [None]; [0]
+CSc1cccc(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1OCc1cccc2ccccc12; [None]; [None]; [0]
 O=c1c(Cl)cncn1-c1ocnc1-c1ccc(F)cc1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(-n3cncc(Cl)c3=O)cc2)CC1; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=c1c(Cl)cncn1CCc1c[nH]c2ccccc12; [None]; [None]; [0]
+O=c1c(Cl)cncn1Oc1ccc(F)cc1F; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1OCc1ccc(F)cc1F; [None]; [None]; [0]
+O=c1c(Cl)cncn1CCc1ccc(F)cc1F; [None]; [None]; [0]
+O=c1c(Cl)cncn1NCc1c(F)cccc1Cl; [None]; [None]; [0]
+COc1ncccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+CCOc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ncc2ccccc2n1; [None]; [None]; [0]
+CC(=O)N(C)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
 Cc1nc(C(C)(C)O)sc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+CS(=O)(=O)c1cccc(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+COc1cc(-n2cncc(Cl)c2=O)cc(OC)c1OC; [None]; [None]; [0]
+Cc1ccc2ncn(-n3cncc(Cl)c3=O)c2c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cnc2cccnn12; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-n2cncc(Cl)c2=O)c1)C1CC1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+COc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1nc2ccccc2[nH]1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(-n3cncc(Cl)c3=O)cc2)CC1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1nccc2ccccc12; [None]; [None]; [0]
+O=c1c(Cl)cncn1Nc1ncccn1; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-n3cncc(Cl)c3=O)cn2)c1; [None]; [None]; [0]
+O=C(Nc1ccccc1)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(OCCO)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+O=C(c1ccc(-n2cncc(Cl)c2=O)cc1)N1CCOCC1; [None]; [None]; [0]
+O=C(c1ccc(-n2cncc(Cl)c2=O)nc1)N1CCOCC1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
 O=c1c(Cl)cncn1-c1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
+C[C@@H](O)COc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
+CN(C)S(=O)(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+Cc1nc(C)c(-n2cncc(Cl)c2=O)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
+O=C(c1ccccc1)N1CC[C@H](n2cncc(Cl)c2=O)C1; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
 CC(C)c1cc(-n2cncc(Cl)c2=O)nc(N)n1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(-n3cncc(Cl)c3=O)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-n2cncc(Cl)c2=O)nc1; [None]; [None]; [0]
+Cc1c(C(=O)[O-])cccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(Br)cc1; [None]; [None]; [0]
+CN(C)c1ccc(-n2cncc(Cl)c2=O)cc1Cl; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-n2cncc(Cl)c2=O)c(C)c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccn2nccc2n1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccccc1-n1cccn1; [None]; [None]; [0]
+COc1ccc(Cl)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1c[nH]c2ccccc12; [None]; [None]; [0]
+COc1cc(OC)c(-n2cncc(Cl)c2=O)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-n3cncc(Cl)c3=O)[nH]c2c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc2c(c1)CCO2; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
+CC(=O)Nc1cccc(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cccc2c1OCO2; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
-O=c1c(Cl)cncn1Cc1nc2c(F)c(F)ccc2[nH]1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1scc2c1OCCO2; [None]; [None]; [0]
+CC(C)(C)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cnc2ccccc2c1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+CC(C)(C)c1ccc(-n2cncc(Cl)c2=O)cn1; [None]; [None]; [0]
+CC(=O)N[C@@H]1CC[C@@H](n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Nc1nc(-n2cncc(Cl)c2=O)cs1; [None]; [None]; [0]
+COc1cccc(C(=O)Nn2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+CSc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cc2ccccc2s1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-n3cncc(Cl)c3=O)cc2)CC1; [None]; [None]; [0]
+Cc1cc(-n2cncc(Cl)c2=O)nc(N)n1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(F)cc1Cl; [None]; [None]; [0]
+O=C1CCc2cc(-n3cncc(Cl)c3=O)ccc2N1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ncc(Br)cn1; [None]; [None]; [0]
+CCc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(Cl)cc1Cl; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ncc2cccn2n1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cc2ccccn2n1; [None]; [None]; [0]
+COc1cc(-n2cncc(Cl)c2=O)ccc1N1CCOCC1; [None]; [None]; [0]
+Cn1cc(-n2cncc(Cl)c2=O)c(C(F)(F)F)n1; [None]; [None]; [0]
+CC1(C)Cc2cc(-n3cncc(Cl)c3=O)ccc2O1; [None]; [None]; [0]
+COc1ccc2cccc(-n3cncc(Cl)c3=O)c2c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cccc2ccc(O)cc12; [None]; [None]; [0]
+COc1cc(F)c(-n2cncc(Cl)c2=O)cc1OC; [None]; [None]; [0]
+COc1cc(-n2cncc(Cl)c2=O)ccc1Cl; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cnn(CCO)c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ncc(Cl)cn1; [None]; [None]; [0]
+Cc1csc2c(-n3cncc(Cl)c3=O)ncnc12; [None]; [None]; [0]
 Nc1cc(-n2cncc(Cl)c2=O)c2cc[nH]c2n1; [None]; [None]; [0]
+CCNC(=O)c1ccc(-n2cncc(Cl)c2=O)nc1; [None]; [None]; [0]
+COc1cc(-n2cncc(Cl)c2=O)c(OC)cc1Br; [None]; [None]; [0]
 COc1cc(CS(C)(=O)=O)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+NC(=O)c1ccc(Cn2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+CO[C@@H]1CC[C@@H](n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
+O=c1c(Cl)cncn1Cc1ccc(S(=O)(=O)CCO)cc1; [None]; [None]; [0]
+CCNC(=O)N1CCC(n2cncc(Cl)c2=O)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-n1cncc(Cl)c1=O)cn2C; [None]; [None]; [0]
+COc1ccc2oc(-n3cncc(Cl)c3=O)cc2c1; [None]; [None]; [0]
+C[NH+](C)Cc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc2cn[nH]c2c1; [None]; [None]; [0]
+CCn1cc(-n2cncc(Cl)c2=O)cn1; [None]; [None]; [0]
+CNC(=O)c1ccc(OC)c(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1cc2ccccc2o1; [None]; [None]; [0]
+Cn1cc(Br)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ncc2sccc2n1; [None]; [None]; [0]
+CC(C)c1nn(C)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=C(Nc1cccc(-n2cncc(Cl)c2=O)c1)N1CCCC1; [None]; [None]; [0]
+COc1ccc2nc(-n3cncc(Cl)c3=O)[nH]c2c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-n3cncc(Cl)c3=O)[nH]c2c1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nn2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+CCc1cccc(-n2cncc(Cl)c2=O)n1; [None]; [None]; [0]
 O=c1c(Cl)cncn1-c1ncn2c1CCCC2; [None]; [None]; [0]
+Cn1ncc2cc(-n3cncc(Cl)c3=O)ccc21; [None]; [None]; [0]
+Cc1cc(-n2cncc(Cl)c2=O)cc(C)c1OCCO; [None]; [None]; [0]
+Cn1nc(Cl)c2cc(-n3cncc(Cl)c3=O)ccc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(-n3cncc(Cl)c3=O)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(-n3cncc(Cl)c3=O)cn2)CC1; [None]; [None]; [0]
+CN(C)c1ccc(-n2cncc(Cl)c2=O)cn1; [None]; [None]; [0]
+O=C1CCCN1c1cccc(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+O=c1c(Cl)cncn1-c1ccc(CCO)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-n2cncc(Cl)c2=O)c(Cl)c1; [None]; [None]; [0]
 O=C(Nn1cncc(Cl)c1=O)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-n3cncc(Cl)c3=O)cc2)n1C; [None]; [None]; [0]
-COc1cc(S(C)(=O)=O)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+COc1cc(S(C)(=O)=O)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+COc1cc(N2CCNCC2)ccc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+CNC(=O)c1ccc(-n2cncc(Cl)c2=O)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-n2cncc(Cl)c2=O)cc1C(C)(C)O; [None]; [None]; [0]
+CCNC(=O)c1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-n2cncc(Cl)c2=O)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-n2cncc(Cl)c2=O)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+CNC(=O)c1ccc(C)c(-n2cncc(Cl)c2=O)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCO)cc1-n1cncc(Cl)c1=O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cccc(O)c3)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cccc4ncccc34)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3c(Cl)ccc4c3OCO4)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc(Cl)c(O)c3)ccc21; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3n[nH]c4ccccc34)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3c(Cl)cccc3Cl)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(Oc3ccc(F)cc3)ccc21; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)c(F)c1; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc(O)cc3Cl)ccc21; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc(O)cc3F)ccc21; [None]; [None]; [0]
+Nc1nccc(-c2ccc3c(c2)CCCCC3=O)n1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc4c(c3)CCCCC4=O)cc2[nH]1; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cn[nH]c3Cl)ccc21; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
 O=C1CCCCc2cc(-c3ccc(-c4ccc(O)cc4O)cc3)ccc21; [None]; [None]; [0]
+COc1cc(-c2ccc3c(c2)CCCCC3=O)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
+COC(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)o1; [None]; [None]; [0]
+COc1cc(CCc2ccc3c(c2)CCCCC3=O)ccc1O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cccc(Br)c3)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc4ccccc4c3)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc(O)c(F)c3)ccc21; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(c2)CCCCC3=O)c2ccccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc(O)cc3O)ccc21; [None]; [None]; [0]
+COC(=O)c1ccc(Cl)c(-c2ccc3c(c2)CCCCC3=O)c1; [None]; [None]; [0]
 O=C1CCCCc2cc(-c3cnn4ncccc34)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3c[nH]c4cnccc34)ccc21; [None]; [None]; [0]
+Nc1cc(-c2ccc3c(c2)CCCCC3=O)ccn1; [None]; [None]; [0]
+O=C1CCCCc2cc(COc3ccccc3Cl)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc(F)c(Cl)c3)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3[nH]cnc3-c3ccc(F)cc3)ccc21; [None]; [None]; [0]
+Cc1ccc2[nH]ncc2c1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cc(O)ccc3Cl)ccc21; [None]; [None]; [0]
+Cc1ccc(CO)cc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cnc(O)c(Cl)c3)ccc21; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccc3c(c2)CCCCC3=O)c[nH]1; [None]; [None]; [0]
+COc1cc(OC)cc(-c2ccc3c(c2)CCCCC3=O)c1; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(c2)CCCCC3=O)cc1OC; [None]; [None]; [0]
+CNC(=O)c1cccc2cc(-c3ccc4c(c3)CCCCC4=O)ccc12; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4c(c3)CCCCC4=O)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3c(c2)CCCCC3=O)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc3c(c2)CCCCC3=O)cc(OC)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cnc4[nH]ccc4c3)ccc21; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3nc4ccccc4s3)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cncc(O)c3)ccc21; [None]; [None]; [0]
+O=C1Cc2cc(-c3ccc4c(c3)CCCCC4=O)ccc2N1; [None]; [None]; [0]
+C[C@H](CC(N)=O)c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+CNc1nccc(-c2ccc3c(c2)CCCCC3=O)n1; [None]; [None]; [0]
+CCc1cc(O)ccc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+CCc1cc(O)c(F)cc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccc4c(c3)CCCCC4=O)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc3c(c2)CCCCC3=O)c1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cc(C(F)F)n[nH]3)ccc21; [None]; [None]; [0]
+CN(c1cccc(Cl)c1)c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccncc3Cl)ccc21; [None]; [None]; [0]
+CCc1sccc1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cc(Cl)c(O)c(Cl)c3)ccc21; [None]; [None]; [0]
+CNc1nc(-c2ccc3c(c2)CCCCC3=O)ncc1F; [None]; [None]; [0]
 O=C1CCCCc2cc(-c3cc(O)n4nccc4n3)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc4c(c3)CCN4)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc4[nH]c(=O)[nH]c4c3)ccc21; [None]; [None]; [0]
 Cc1oc(-c2ccc3c(c2)CCCCC3=O)cc1C(=O)[O-]; [None]; [None]; [0]
+O=C1CCCCc2cc(Nc3ccncc3)ccc21; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc(Br)cc3F)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3[nH]nc4ccc(F)cc34)ccc21; [None]; [None]; [0]
+CNC(=O)c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
 CN(c1ccc2c(c1)CCCCC2=O)c1cccc2[nH]ncc12; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cc(O)cc(Br)c3)ccc21; [None]; [None]; [0]
+O=C(NC1CC1)c1ccc(-c2ccc3c(c2)CCCCC3=O)cc1; [None]; [None]; [0]
+Cc1nc2ccc(-c3ccc4c(c3)CCCCC4=O)cc2o1; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(c2)CCCCC3=O)ccc1C(N)=O; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(c2)CCCCC3=O)cc(C)c1O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cc(F)c(O)c(F)c3)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3ccc4c(=O)[nH][nH]c4c3)ccc21; [None]; [None]; [0]
+CSc1cccc(-c2ccc3c(c2)CCCCC3=O)c1; [None]; [None]; [0]
 O=C1CCCCc2cc(-c3ocnc3-c3ccc(F)cc3)ccc21; [None]; [None]; [0]
-O=C1c2cc(-c3ccc(O)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(CCc3c[nH]c4ccccc34)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(OCc3cccc4ccccc34)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(Oc3ccc(F)cc3F)ccc21; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1-c1ccc2c(c1)CCCCC2=O; [None]; [None]; [0]
+O=C1CCCCc2cc(-c3cn[nH]c3-c3ccc(Cl)cc3)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(OCc3ccc(F)cc3F)ccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(CCc3ccc(F)cc3F)ccc21; [None]; [None]; [0]
+O=C1c2cc(-c3cccc(O)c3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1CCCCc2cc(NCc3c(F)cccc3Cl)ccc21; [None]; [None]; [0]
 O=C1c2cc(-c3cccc4ncccc34)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3c(Cl)ccc4c3OCO4)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(Cl)c(O)c3)ccc2COc2ccccc21; [None]; [None]; [0]
-CCc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(-c3n[nH]c4ccccc34)ccc2COc2ccccc21; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
-Cn1c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)nc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3c(Cl)cccc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3ccc(O)cc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(Oc3ccc(F)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
-NC(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c(F)c1; [None]; [None]; [0]
-O=C1c2cc(-c3ccc(O)cc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
+O=C1c2cc(-c3ccc(O)cc3F)ccc2COc2ccccc21; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 Nc1nccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)cc2[nH]1; [None]; [None]; [0]
 O=C1c2cc(-c3cn[nH]c3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(-c4ccc(O)cc4O)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C([O-])c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
+COc1cc(F)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 COc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)ccc1O; [None]; [None]; [0]
+O=C([O-])c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 COC(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)o1; [None]; [None]; [0]
 COc1cc(CCc2ccc3c(c2)C(=O)c2ccccc2OC3)ccc1O; [None]; [None]; [0]
-O=C1c2cc(COc3cccc(Cl)c3)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3cccc(Br)c3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3ccc(O)c(F)c3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3ccc4ccccc4c3)ccc2COc2ccccc21; [None]; [None]; [0]
+Cn1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(O)cc3O)ccc2COc2ccccc21; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
 O=C1c2cc(-c3cnn4ncccc34)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3c[nH]c4cnccc34)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(COc3ccccc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
+Nc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)ccn1; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(F)c(Cl)c3)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc([C@H](CO)c3ccccc3)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(CCc3ccc(Cl)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
-Cc1ccc(O)cc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
+O=C1c2cc(-c3[nH]cnc3-c3ccc(F)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 O=C1c2cc(-c3cc(O)ccc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(-c3c(Cl)ccc4c3OCO4)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(-c3cnc(O)c(Cl)c3)ccc2COc2ccccc21; [None]; [None]; [0]
 Cc1ccc(CO)cc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
-NC(=O)c1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c[nH]1; [None]; [None]; [0]
+O=C1c2cc(-c3cnc(O)c(Cl)c3)ccc2COc2ccccc21; [None]; [None]; [0]
 COc1cc(OC)cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
+NC(=O)c1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c[nH]1; [None]; [None]; [0]
 COc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1OC; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
+COc1cc(CCc2ccc3c(c2)C(=O)c2ccccc2OC3)cc(OC)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
-O=C1c2cc(-c3cnc4[nH]ccc4c3)ccc2COc2ccccc21; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
+O=C1c2cc(-c3cnc4[nH]ccc4c3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3cncc(O)c3)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3nc4ccccc4s3)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1Cc2cc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)ccc2N1; [None]; [None]; [0]
-O=C1c2cc(-c3cncc(O)c3)ccc2COc2ccccc21; [None]; [None]; [0]
 C[C@H](CC(N)=O)c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 CNc1nccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 Cc1n[nH]c2cc(N(C)c3ccc4c(c3)C(=O)c3ccccc3OC4)ccc12; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
+Cc1n[nH]c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1C; [None]; [None]; [0]
 Cc1cc(O)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 CN(c1cccc(Cl)c1)c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
+O=C1c2cc(-c3cc(C(F)F)n[nH]3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3ccncc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
 CCc1sccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 O=C1c2cc(-c3cc(Cl)c(O)c(Cl)c3)ccc2COc2ccccc21; [None]; [None]; [0]
+CNc1nc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)ncc1F; [None]; [None]; [0]
 O=C1c2cc(-c3ccc4c(c3)CCN4)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3cc(O)n4nccc4n3)ccc2COc2ccccc21; [None]; [None]; [0]
-Cc1oc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1C(=O)[O-]; [None]; [None]; [0]
 O=C1c2cc(-c3ccc4[nH]c(=O)[nH]c4c3)ccc2COc2ccccc21; [None]; [None]; [0]
+Cc1oc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1C(=O)[O-]; [None]; [None]; [0]
+O=C1c2cc(-c3[nH]nc4ccc(F)cc34)ccc2COc2ccccc21; [None]; [None]; [0]
 Cn1ncc(N)c1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
-O=C1c2cc(Nc3ccncc3)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(Br)cc3F)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(-c3[nH]nc4ccc(F)cc34)ccc2COc2ccccc21; [None]; [None]; [0]
-Cc1n[nH]c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1C; [None]; [None]; [0]
+O=C1c2cc(Nc3ccncc3)ccc2COc2ccccc21; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 CN(c1ccc2c(c1)C(=O)c1ccccc1OC2)c1cccc2[nH]ncc12; [None]; [None]; [0]
-O=C1c2cc(-c3cc(O)cc(Br)c3)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C(NC1CC1)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
-Cc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)ccc1C(N)=O; [None]; [None]; [0]
 Cc1nc2ccc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)cc2o1; [None]; [None]; [0]
+O=C1c2cc(-c3cc(O)cc(Br)c3)ccc2COc2ccccc21; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)ccc1C(N)=O; [None]; [None]; [0]
+Cc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc(C)c1O; [None]; [None]; [0]
 O=C1c2cc(-c3cc(F)c(O)c(F)c3)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(-c3[nH]cnc3-c3ccc(F)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(-c3ccc4c(=O)[nH][nH]c4c3)ccc2COc2ccccc21; [None]; [None]; [0]
 CSc1cccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
-O=C1c2cc(OCc3ccccc3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3ccc4c(=O)[nH][nH]c4c3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(Oc3ccc(F)cc3F)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(CCc3c[nH]c4ccccc34)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(OCc3cccc4ccccc34)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ocnc3-c3ccc(F)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(Oc3ccccc3F)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(Oc3ccc(F)cc3F)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(-c3cn[nH]c3-c3ccc(Cl)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
 Cc1onc(-c2ccccc2)c1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
-O=C1c2cc(-c3ccc(F)cc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(OCc3ccc(F)cc3F)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(CCc3ccc(F)cc3F)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(NCc3c(F)cccc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3cn[nH]c3-c3ccc(Cl)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(OCc3ccc(F)cc3F)ccc2COc2ccccc21; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 CCOc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
+O=C1c2cc(NCc3c(F)cccc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ncc4ccccc4n3)ccc2COc2ccccc21; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 COc1ncccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
 COc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc(OC)c1OC; [None]; [None]; [0]
-Cc1ccc2ncn(-c3ccc4c(c3)C(=O)c3ccccc3OC4)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
 O=C1c2cc(-c3cnc4cccnn34)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(-c3cccc(O)c3)ccc2COc2ccccc21; [None]; [None]; [0]
-COc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(N4CCOCC4)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ccc4c(c3)C(=O)c3ccccc3OC4)c2c1; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(-c3cccc(NC(=O)C4CC4)c3)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(-c3nc4ccccc4[nH]3)ccc2COc2ccccc21; [None]; [None]; [0]
 CC(=O)N1CCN(C(=O)Cc2ccc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)cc2)CC1; [None]; [None]; [0]
+O=C1c2cc(-c3nc4ccccc4[nH]3)ccc2COc2ccccc21; [None]; [None]; [0]
 Cc1cc(Nc2ccc3c(c2)C(=O)c2ccccc2OC3)sn1; [None]; [None]; [0]
-O=C1c2cc(-n3ncc4ccccc4c3=O)ccc2COc2ccccc21; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cn1; [None]; [None]; [0]
-O=C1c2cc(Nc3ncccn3)ccc2COc2ccccc21; [None]; [None]; [0]
-N#Cc1cccc(Cn2cc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)cn2)c1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
-O=C1c2cc(Cc3nccc4ccccc34)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(OCCO)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3nccc4ccccc34)ccc2COc2ccccc21; [None]; [None]; [0]
+N#Cc1cccc(Cn2cc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)cn2)c1; [None]; [None]; [0]
+O=C1c2cc(Nc3ncccn3)ccc2COc2ccccc21; [None]; [None]; [0]
 CC(=O)NCc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(-c3cccc(C4CCNCC4)c3)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(-c3ccc(C(=O)N4CCOCC4)cn3)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(C(=O)N4CCOCC4)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(Nc3ccncn3)ccc2COc2ccccc21; [None]; [None]; [0]
 C[C@H](O)COc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
+O=C1c2cc(Nc3ccncn3)ccc2COc2ccccc21; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(-c3ccc4c(c3)CS(=O)(=O)C4)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3ccc(C(=O)N4CCOCC4)cn3)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(C(F)(F)F)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
 CN(C)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
-O=C1c2cc(Cc3ccccc3O)ccc2COc2ccccc21; [None]; [None]; [0]
-Cc1nc(C)c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)s1; [None]; [None]; [0]
 CS(=O)(=O)N1CCC(c2ccc3c(c2)C(=O)c2ccccc2OC3)CC1; [None]; [None]; [0]
-Nc1ncc(Cc2ccc3c(c2)C(=O)c2ccccc2OC3)cn1; [None]; [None]; [0]
+Cc1nc(C)c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)s1; [None]; [None]; [0]
 O=C1c2cc([C@H]3CCN(C(=O)c4ccccc4)C3)ccc2COc2ccccc21; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 CC(C)c1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)nc(N)n1; [None]; [None]; [0]
-CC(=O)N1CCCN(c2cccc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)nc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cccc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)c2)CC1; [None]; [None]; [0]
 Cc1c(C(=O)[O-])cccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
+O=C1c2cc(-c3ccn4nccc4n3)ccc2COc2ccccc21; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(Br)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3ccccc3-n3cccn3)ccc2COc2ccccc21; [None]; [None]; [0]
 CN(C)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1Cl; [None]; [None]; [0]
-COc1ccc(Cc2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c(C)c1; [None]; [None]; [0]
 COc1ccc(Cl)cc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 O=C1c2cc(-c3c[nH]c4ccccc34)ccc2COc2ccccc21; [None]; [None]; [0]
-COc1cc(OC)c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)[nH]c2c1; [None]; [None]; [0]
 O=C1c2cc(-c3ccc4c(c3)CCO4)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(-c3cc4ccccc4cn3)ccc2COc2ccccc21; [None]; [None]; [0]
+COc1cc(OC)c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1Cl; [None]; [None]; [0]
 O=C1c2cc(-c3cc(-c4ccccc4)[nH]n3)ccc2COc2ccccc21; [None]; [None]; [0]
-CC(=O)Nc1cccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
 COc1cc(C(=O)N2CCOCC2)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
-O=C1c2cc(-c3scc4c3OCCO4)ccc2COc2ccccc21; [None]; [None]; [0]
+CC(=O)Nc1cccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
 O=C1c2cc(-c3cccc4c3OCO4)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3scc4c3OCCO4)ccc2COc2ccccc21; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(-c3cnc4ccccc4c3)ccc2COc2ccccc21; [None]; [None]; [0]
-CN(C)C(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cn1; [None]; [None]; [0]
-O=C1c2cc(Cc3nc4c(F)c(F)ccc4[nH]3)ccc2COc2ccccc21; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
+Nc1nc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cs1; [None]; [None]; [0]
+O=C1c2cc(-c3ccn(-c4cccc(Cl)c4)n3)ccc2COc2ccccc21; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](c2ccc3c(c2)C(=O)c2ccccc2OC3)CC1; [None]; [None]; [0]
 CC1(COc2ccc3c(c2)C(=O)c2ccccc2OC3)COC1; [None]; [None]; [0]
-CCN1CCN(Cc2ccc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)cc2)CC1; [None]; [None]; [0]
 COc1cccc(C(=O)Nc2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
+CCN1CCN(Cc2ccc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)cc2)CC1; [None]; [None]; [0]
+O=C1c2cc(-c3cc4ccccc4s3)ccc2COc2ccccc21; [None]; [None]; [0]
+CSc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 Cc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)nc(N)n1; [None]; [None]; [0]
-O=C1c2cc([C@H](CO)Cc3ccccc3)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1CCc2cc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)ccc2N1; [None]; [None]; [0]
+O=C1c2cc(-c3ccc(F)cc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ncc(Br)cn3)ccc2COc2ccccc21; [None]; [None]; [0]
-COc1ccc(CNc2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
+CCc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(Cl)cc3Cl)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C1c2cc(CCCn3cncn3)ccc2COc2ccccc21; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
+COc1ccc(CNc2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(NC3CN(C(=O)C4CC4)C3)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ncc4cccn4n3)ccc2COc2ccccc21; [None]; [None]; [0]
 COc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)ccc1N1CCOCC1; [None]; [None]; [0]
 O=C1c2cc(-c3cc4ccccn4n3)ccc2COc2ccccc21; [None]; [None]; [0]
 Cn1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c(C(F)(F)F)n1; [None]; [None]; [0]
 CC1(C)Cc2cc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)ccc2O1; [None]; [None]; [0]
-COc1ccc2cccc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)c2c1; [None]; [None]; [0]
-O=C1c2cc(-c3cccc4ccc(O)cc34)ccc2COc2ccccc21; [None]; [None]; [0]
+O=C1c2cc(-c3cnn(CCO)c3)ccc2COc2ccccc21; [None]; [None]; [0]
 COc1cc(F)c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1OC; [None]; [None]; [0]
+COc1ccc2cccc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)c2c1; [None]; [None]; [0]
 COc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)ccc1Cl; [None]; [None]; [0]
+O=C1c2cc(-c3cccc4ccc(O)cc34)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ncc(Cl)cn3)ccc2COc2ccccc21; [None]; [None]; [0]
 Cc1csc2c(-c3ccc4c(c3)C(=O)c3ccccc3OC4)ncnc12; [None]; [None]; [0]
 Cc1nc(Nc2ccc3c(c2)C(=O)c2ccccc2OC3)sc1C; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 Cc1cc(Nc2ccc3c(c2)C(=O)c2ccccc2OC3)nn1C; [None]; [None]; [0]
-COc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c(OC)cc1Br; [None]; [None]; [0]
 Nc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1ccc(OC)c(Cc2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
+COc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c(OC)cc1Br; [None]; [None]; [0]
+CCNC(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)nc1; [None]; [None]; [0]
 NC(=O)c1ccc(Cc2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(Cc3ccc(S(=O)(=O)CCO)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
-O=C(Nc1ccc2c(c1)C(=O)c1ccccc1OC2)c1ccco1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](c2ccc3c(c2)C(=O)c2ccccc2OC3)CC1; [None]; [None]; [0]
+O=C(Nc1ccc2c(c1)C(=O)c1ccccc1OC2)c1ccco1; [None]; [None]; [0]
 CCNC(=O)N1CCC(c2ccc3c(c2)C(=O)c2ccccc2OC3)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(-c1ccc3c(c1)C(=O)c1ccccc1OC3)cn2C; [None]; [None]; [0]
-O=C1c2cc(-c3ccc4cn[nH]c4c3)ccc2COc2ccccc21; [None]; [None]; [0]
 COc1ccc2oc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)cc2c1; [None]; [None]; [0]
+O=C1c2cc(-c3ccc4cn[nH]c4c3)ccc2COc2ccccc21; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(C(=O)Nc2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 CCn1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cn1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
 O=C1c2cc(-c3cc(-c4cccnc4)ccn3)ccc2COc2ccccc21; [None]; [None]; [0]
+Cn1cc(Br)cc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 O=C1c2cc(-c3cc4ccccc4o3)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C1c2cc(-c3ncc4sccc4n3)ccc2COc2ccccc21; [None]; [None]; [0]
 CC(C)c1nn(C)cc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
-Cn1cc(Br)cc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(-c3cccc(NC(=O)N4CCCC4)c3)ccc2COc2ccccc21; [None]; [None]; [0]
 COc1ccc2nc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)[nH]c2c1; [None]; [None]; [0]
 O=C1c2cc(-c3ccc(OC(F)(F)F)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)Nc2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
-Cn1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)n1; [None]; [None]; [0]
-O=C1c2cc(-c3ncn4c3CCCC4)ccc2COc2ccccc21; [None]; [None]; [0]
 Cc1cc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc(C)c1OCCO; [None]; [None]; [0]
+O=C1c2cc(-c3ncn4c3CCCC4)ccc2COc2ccccc21; [None]; [None]; [0]
 Cn1ncc2cc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)ccc21; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)ccc21; [None]; [None]; [0]
 CN(C)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cn1; [None]; [None]; [0]
@@ -62991,313 +46054,1418 @@ O=C1c2cc(-c3ccc(CCO)cc3)ccc2COc2ccccc21; [None]; [None]; [0]
 O=C(Nc1ccc2c(c1)C(=O)c1ccccc1OC2)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(-c3ccc4c(c3)C(=O)c3ccccc3OC4)cc2)n1C; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
 CNC(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c(OC)c1; [None]; [None]; [0]
 Cn1nc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1C(C)(C)O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)nc1; [None]; [None]; [0]
 CCNC(=O)c1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(-c2ccc3c(c2)C(=O)c2ccccc2OC3)cc1; [None]; [None]; [0]
 O=C1c2cc(Nc3ccc(F)cn3)ccc2COc2ccccc21; [None]; [None]; [0]
 Cc1cc(Nc2ccc3c(c2)C(=O)c2ccccc2OC3)ncc1F; [None]; [None]; [0]
 CS(=O)(=O)c1ccc(Cl)c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
 O=C1c2cc(Nc3ccccn3)ccc2COc2ccccc21; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(-c2ccc3c(c2)C(=O)c2ccccc2OC3)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1-c1ccc2c(c1)C(=O)c1ccccc1OC2; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1ccc(O)cc1; [None]; [None]; [0]
-CCc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1cccc(O)c1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cccc2ncccc12; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc(Cl)c(O)c1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1n[nH]c2ccccc12; [None]; [None]; [0]
-CNS(=O)(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1c(Cl)cccc1Cl; [None]; [None]; [0]
-NC(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)c(F)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1COc1ccc(F)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
-Nc1nccc(Cn2c(=O)[nH]c3cccnc32)n1; [None]; [None]; [0]
+NC(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)c(F)c1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc(O)cc1Cl; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccc(O)cc1F; [None]; [None]; [0]
+Nc1nccc(Cn2c(=O)[nH]c3cccnc32)n1; [None]; [None]; [0]
+COc1ccc(F)cc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cn[nH]c1Cl; [None]; [None]; [0]
+Cc1nc2c(F)cc(Cn3c(=O)[nH]c4cccnc43)cc2[nH]1; [None]; [None]; [0]
+COc1cc(F)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc(-c2ccc(O)cc2O)cc1; [None]; [None]; [0]
-COc1cc(Cn2c(=O)[nH]c3cccnc32)ccc1O; [None]; [None]; [0]
 O=C([O-])c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
+COc1cc(Cn2c(=O)[nH]c3cccnc32)ccc1O; [None]; [None]; [0]
 COC(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)o1; [None]; [None]; [0]
 COc1cc(CCCn2c(=O)[nH]c3cccnc32)ccc1O; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1CCOc1cccc(Cl)c1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1ccc(O)cc1O; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cccc(Br)c1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccc2ccccc2c1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccc(O)c(F)c1; [None]; [None]; [0]
+Cn1cc(Cn2c(=O)[nH]c3cccnc32)c2ccccc21; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccc(O)cc1O; [None]; [None]; [0]
 COC(=O)c1ccc(Cl)c(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1CCOc1ccccc1Cl; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cnn2ncccc12; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1c[nH]c2cnccc12; [None]; [None]; [0]
+Nc1cc(Cn2c(=O)[nH]c3cccnc32)ccn1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc(F)c(Cl)c1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1C[C@H](CO)c1ccccc1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1CCCc1ccc(Cl)cc1; [None]; [None]; [0]
-Cc1ccc(O)cc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1CCOc1ccccc1Cl; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
 Cc1ccc2[nH]ncc2c1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cc(O)ccc1Cl; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1c(Cl)ccc2c1OCO2; [None]; [None]; [0]
 Cc1ccc(CO)cc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cnc(O)c(Cl)c1; [None]; [None]; [0]
 NC(=O)c1cc(Cn2c(=O)[nH]c3cccnc32)c[nH]1; [None]; [None]; [0]
-COc1cc(Cn2c(=O)[nH]c3cccnc32)cc(OC)c1; [None]; [None]; [0]
 COc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1OC; [None]; [None]; [0]
+COc1cc(Cn2c(=O)[nH]c3cccnc32)cc(OC)c1; [None]; [None]; [0]
 CNC(=O)c1cccc2cc(Cn3c(=O)[nH]c4cccnc43)ccc12; [None]; [None]; [0]
 Cc1nc2ccc(Cn3c(=O)[nH]c4cccnc43)cc2[nH]1; [None]; [None]; [0]
+CCOc1cccc(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
+COc1cc(CCCn2c(=O)[nH]c3cccnc32)cc(OC)c1; [None]; [None]; [0]
 NC(=O)Nc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cnc2[nH]ccc2c1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1nc2ccccc2s1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cncc(O)c1; [None]; [None]; [0]
-O=C1Cc2cc(Cn3c(=O)[nH]c4cccnc43)ccc2N1; [None]; [None]; [0]
 C[C@H](CC(N)=O)Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+O=C1Cc2cc(Cn3c(=O)[nH]c4cccnc43)ccc2N1; [None]; [None]; [0]
 CNc1nccc(Cn2c(=O)[nH]c3cccnc32)n1; [None]; [None]; [0]
 CCc1cc(O)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 CCc1cc(O)c(F)cc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+Cc1n[nH]c2cc(N(C)Cn3c(=O)[nH]c4cccnc43)ccc12; [None]; [None]; [0]
+Cc1n[nH]c(Cn2c(=O)[nH]c3cccnc32)c1C; [None]; [None]; [0]
 Cc1cc(O)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1cc(Cl)c(O)c(Cl)c1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1cc(C(F)F)n[nH]1; [None]; [None]; [0]
 CCc1sccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+CN(Cn1c(=O)[nH]c2cccnc21)c1cccc(Cl)c1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccncc1Cl; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1cc(Cl)c(O)c(Cl)c1; [None]; [None]; [0]
+CNc1nc(Cn2c(=O)[nH]c3cccnc32)ncc1F; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc2c(c1)CCN2; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1cc(O)n2nccc2n1; [None]; [None]; [0]
 Cc1oc(Cn2c(=O)[nH]c3cccnc32)cc1C(=O)[O-]; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1cc(O)n2nccc2n1; [None]; [None]; [0]
 O=c1[nH]c2ccc(Cn3c(=O)[nH]c4cccnc43)cc2[nH]1; [None]; [None]; [0]
+Cn1ncc(N)c1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1CNc1ccncc1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc(Br)cc1F; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
 CNC(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1cc(O)cc(Br)c1; [None]; [None]; [0]
-Cc1n[nH]c(Cn2c(=O)[nH]c3cccnc32)c1C; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1[nH]nc2ccc(F)cc12; [None]; [None]; [0]
 O=C(NC1CC1)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1cc(O)cc(Br)c1; [None]; [None]; [0]
+CN(Cn1c(=O)[nH]c2cccnc21)c1cccc2[nH]ncc12; [None]; [None]; [0]
 Cc1cc(Cn2c(=O)[nH]c3cccnc32)ccc1C(N)=O; [None]; [None]; [0]
 Cc1nc2ccc(Cn3c(=O)[nH]c4cccnc43)cc2o1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1cc(F)c(O)c(F)c1; [None]; [None]; [0]
-O=c1[nH][nH]c2cc(Cn3c(=O)[nH]c4cccnc43)ccc12; [None]; [None]; [0]
+Cc1cc(Cn2c(=O)[nH]c3cccnc32)cc(C)c1O; [None]; [None]; [0]
 CSc1cccc(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1cc(F)c(O)c(F)c1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1CCCc1c[nH]c2ccccc12; [None]; [None]; [0]
-Cc1onc(-c2ccccc2)c1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+O=c1[nH][nH]c2cc(Cn3c(=O)[nH]c4cccnc43)ccc12; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1COCc1cccc2ccccc12; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ocnc1-c1ccc(F)cc1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1ccc(F)cc1Cl; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1COc1ccc(F)cc1F; [None]; [None]; [0]
+Cc1onc(-c2ccccc2)c1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1COCc1ccc(F)cc1F; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1CCCc1ccc(F)cc1F; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1CNCc1c(F)cccc1Cl; [None]; [None]; [0]
 CC(=O)N(C)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 CCOc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
-Cc1nc(C(C)(C)O)sc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ncc2ccccc2n1; [None]; [None]; [0]
+Cc1nc(C(C)(C)O)sc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 COc1ncccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
-COc1cc(Cn2c(=O)[nH]c3cccnc32)cc(OC)c1OC; [None]; [None]; [0]
 CS(=O)(=O)c1cccc(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
 Cc1ccc2ncn(Cn3c(=O)[nH]c4cccnc43)c2c1; [None]; [None]; [0]
+COc1cc(Cn2c(=O)[nH]c3cccnc32)cc(OC)c1OC; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cnc2cccnn12; [None]; [None]; [0]
+N#Cc1ccc(O)c(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
 COc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1cccc(O)c1; [None]; [None]; [0]
 O=C(Nc1cccc(Cn2c(=O)[nH]c3cccnc32)c1)C1CC1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
-CC(=O)N1CCN(C(=O)Cc2ccc(Cn3c(=O)[nH]c4cccnc43)cc2)CC1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1nc2ccccc2[nH]1; [None]; [None]; [0]
-O=c1c2ccccc2cnn1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
-CS(=O)(=O)Nc1ccc(Cn2c(=O)[nH]c3cccnc32)cn1; [None]; [None]; [0]
+CC(=O)N1CCN(C(=O)Cc2ccc(Cn3c(=O)[nH]c4cccnc43)cc2)CC1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1nccc2ccccc12; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1CNc1ncccn1; [None]; [None]; [0]
 N#Cc1cccc(Cn2cc(Cn3c(=O)[nH]c4cccnc43)cn2)c1; [None]; [None]; [0]
 O=C(Nc1ccccc1)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1CCc1nccc2ccccc12; [None]; [None]; [0]
-CC(=O)NCc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc(OCCO)cc1; [None]; [None]; [0]
+CC(=O)NCc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cccc(C2CCNCC2)c1; [None]; [None]; [0]
 O=C(c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1)N1CCOCC1; [None]; [None]; [0]
 O=C(c1ccc(Cn2c(=O)[nH]c3cccnc32)nc1)N1CCOCC1; [None]; [None]; [0]
-C[C@H](O)COc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 C[C@@H](O)COc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
+C[C@H](O)COc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc2c(c1)CS(=O)(=O)C2; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc(C(F)(F)F)cc1; [None]; [None]; [0]
 CN(C)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 CN(C)S(=O)(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
-CS(=O)(=O)N1CCC(Cn2c(=O)[nH]c3cccnc32)CC1; [None]; [None]; [0]
 Cc1nc(C)c(Cn2c(=O)[nH]c3cccnc32)s1; [None]; [None]; [0]
+CS(=O)(=O)N1CCC(Cn2c(=O)[nH]c3cccnc32)CC1; [None]; [None]; [0]
 O=C(c1ccccc1)N1CC[C@H](Cn2c(=O)[nH]c3cccnc32)C1; [None]; [None]; [0]
 CC(C)c1cc(Cn2c(=O)[nH]c3cccnc32)nc(N)n1; [None]; [None]; [0]
 CCNS(=O)(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 CC(=O)N1CCCN(c2cccc(Cn3c(=O)[nH]c4cccnc43)c2)CC1; [None]; [None]; [0]
 CCCOc1ccc(Cn2c(=O)[nH]c3cccnc32)nc1; [None]; [None]; [0]
 Cc1c(Cn2c(=O)[nH]c3cccnc32)cccc1C(=O)[O-]; [None]; [None]; [0]
+CCN(CC)C(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc(Br)cc1; [None]; [None]; [0]
-COc1ccc(Cl)cc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 CN(C)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1Cl; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccn2nccc2n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)c(C)c1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccccc1-n1cccn1; [None]; [None]; [0]
+COc1ccc(Cl)cc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1c[nH]c2ccccc12; [None]; [None]; [0]
 COc1cc(OC)c(Cn2c(=O)[nH]c3cccnc32)cc1Cl; [None]; [None]; [0]
 CC(C)c1ccc2nc(Cn3c(=O)[nH]c4cccnc43)[nH]c2c1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc2c(c1)CCO2; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1cc2ccccc2cn1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cc(-c2ccccc2)[nH]n1; [None]; [None]; [0]
 CC(=O)Nc1cccc(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
-COc1cc(C(=O)N2CCOCC2)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cccc2c1OCO2; [None]; [None]; [0]
+COc1cc(C(=O)N2CCOCC2)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1scc2c1OCCO2; [None]; [None]; [0]
 CC(C)(C)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cnc2ccccc2c1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 CC(C)(C)c1ccc(Cn2c(=O)[nH]c3cccnc32)cn1; [None]; [None]; [0]
 CC(=O)N[C@@H]1CC[C@@H](Cn2c(=O)[nH]c3cccnc32)CC1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccn(-c2cccc(Cl)c2)n1; [None]; [None]; [0]
+Nc1nc(Cn2c(=O)[nH]c3cccnc32)cs1; [None]; [None]; [0]
 COc1cccc(C(=O)NCn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
+CSc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1cc2ccccc2s1; [None]; [None]; [0]
 CCN1CCN(Cc2ccc(Cn3c(=O)[nH]c4cccnc43)cc2)CC1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccc(F)cc1Cl; [None]; [None]; [0]
 Cc1cc(Cn2c(=O)[nH]c3cccnc32)nc(N)n1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ncc(Br)cn1; [None]; [None]; [0]
+O=C1CCc2cc(Cn3c(=O)[nH]c4cccnc43)ccc2N1; [None]; [None]; [0]
+CCc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
+C[C@H]1CCCN1C(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc(Cl)cc1Cl; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ncc2cccn2n1; [None]; [None]; [0]
 COc1cc(Cn2c(=O)[nH]c3cccnc32)ccc1N1CCOCC1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cc2ccccn2n1; [None]; [None]; [0]
 Cn1cc(Cn2c(=O)[nH]c3cccnc32)c(C(F)(F)F)n1; [None]; [None]; [0]
 CC1(C)Cc2cc(Cn3c(=O)[nH]c4cccnc43)ccc2O1; [None]; [None]; [0]
-COc1cc(F)c(Cn2c(=O)[nH]c3cccnc32)cc1OC; [None]; [None]; [0]
 COc1ccc2cccc(Cn3c(=O)[nH]c4cccnc43)c2c1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cccc2ccc(O)cc12; [None]; [None]; [0]
+COc1cc(F)c(Cn2c(=O)[nH]c3cccnc32)cc1OC; [None]; [None]; [0]
 COc1cc(Cn2c(=O)[nH]c3cccnc32)ccc1Cl; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1cnn(CCO)c1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ncc(Cl)cn1; [None]; [None]; [0]
 Cc1csc2c(Cn3c(=O)[nH]c4cccnc43)ncnc12; [None]; [None]; [0]
 Nc1cc(Cn2c(=O)[nH]c3cccnc32)c2cc[nH]c2n1; [None]; [None]; [0]
-COc1cc(Cn2c(=O)[nH]c3cccnc32)c(OC)cc1Br; [None]; [None]; [0]
-COc1cc(CS(C)(=O)=O)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+CCNC(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)nc1; [None]; [None]; [0]
 CO[C@@H]1CC[C@@H](Cn2c(=O)[nH]c3cccnc32)CC1; [None]; [None]; [0]
+COc1cc(CS(C)(=O)=O)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+COc1cc(Cn2c(=O)[nH]c3cccnc32)c(OC)cc1Br; [None]; [None]; [0]
 CCNC(=O)N1CCC(Cn2c(=O)[nH]c3cccnc32)CC1; [None]; [None]; [0]
 O=C(Nc1cn[nH]c1)c1cccc(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
 COc1ccc2c(c1)c(Cn1c(=O)[nH]c3cccnc31)cn2C; [None]; [None]; [0]
 COc1ccc2oc(Cn3c(=O)[nH]c4cccnc43)cc2c1; [None]; [None]; [0]
 C[NH+](C)Cc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
+CCn1cc(Cn2c(=O)[nH]c3cccnc32)cn1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ccc2cn[nH]c2c1; [None]; [None]; [0]
 CNC(=O)c1ccc(OC)c(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
-CCn1cc(Cn2c(=O)[nH]c3cccnc32)cn1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cc(-c2cccnc2)ccn1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1cc2ccccc2o1; [None]; [None]; [0]
 Cn1cc(Br)cc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ncc2sccc2n1; [None]; [None]; [0]
-C[C@H]1CCCN1C(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 CC(C)c1nn(C)cc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 O=C(Nc1cccc(Cn2c(=O)[nH]c3cccnc32)c1)N1CCCC1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
 COc1ccc2nc(Cn3c(=O)[nH]c4cccnc43)[nH]c2c1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
 COc1ccc(F)c(C(=O)NCn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
-Cn1cc(Cn2c(=O)[nH]c3cccnc32)c2ccccc21; [None]; [None]; [0]
 CC(C)(O)c1ccc2cc(Cn3c(=O)[nH]c4cccnc43)[nH]c2c1; [None]; [None]; [0]
 CCc1cccc(Cn2c(=O)[nH]c3cccnc32)n1; [None]; [None]; [0]
 O=c1[nH]c2cccnc2n1Cc1ncn2c1CCCC2; [None]; [None]; [0]
-Cc1cc(Cn2c(=O)[nH]c3cccnc32)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1ncc2cc(Cn3c(=O)[nH]c4cccnc43)ccc21; [None]; [None]; [0]
+Cc1cc(Cn2c(=O)[nH]c3cccnc32)cc(C)c1OCCO; [None]; [None]; [0]
 Cn1nc(Cl)c2cc(Cn3c(=O)[nH]c4cccnc43)ccc21; [None]; [None]; [0]
 CN(C)c1ccc(Cn2c(=O)[nH]c3cccnc32)cn1; [None]; [None]; [0]
 Cc1n[nH]c2cc(Cn3c(=O)[nH]c4cccnc43)ccc12; [None]; [None]; [0]
 CC(=O)N1CCC(n2cc(Cn3c(=O)[nH]c4cccnc43)cn2)CC1; [None]; [None]; [0]
 O=C1CCCN1c1cccc(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
-O=c1[nH]c2cccnc2n1Cc1ccc(CCO)cc1; [None]; [None]; [0]
 O=C(NCn1c(=O)[nH]c2cccnc21)c1cccc(OC(F)(F)F)c1; [None]; [None]; [0]
+O=c1[nH]c2cccnc2n1Cc1ccc(CCO)cc1; [None]; [None]; [0]
 CN(C)C(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)c(Cl)c1; [None]; [None]; [0]
 Cc1ncc(-c2ccc(Cn3c(=O)[nH]c4cccnc43)cc2)n1C; [None]; [None]; [0]
-Cc1cc(N2CCOCC2)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 COc1cc(-c2cnn(C)c2)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+Cc1cc(N2CCOCC2)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+CNC(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)c(OC)c1; [None]; [None]; [0]
 COc1cc(S(C)(=O)=O)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
 COc1cc(N2CCNCC2)ccc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
-Cn1nc(Cn2c(=O)[nH]c3cccnc32)cc1C(C)(C)O; [None]; [None]; [0]
-CNC(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)c(OC)c1; [None]; [None]; [0]
 CCNC(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
-CS(=O)(=O)c1ccc(Cl)c(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
+Cn1nc(Cn2c(=O)[nH]c3cccnc32)cc1C(C)(C)O; [None]; [None]; [0]
+CN(C)C(=O)c1ccc(Cn2c(=O)[nH]c3cccnc32)nc1; [None]; [None]; [0]
+CCNC(=O)Cc1ccc(Cn2c(=O)[nH]c3cccnc32)cc1; [None]; [None]; [0]
 CNC(=O)c1ccc(C)c(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
 Cc1ccc(C(=O)NCCO)cc1Cn1c(=O)[nH]c2cccnc21; [None]; [None]; [0]
+CS(=O)(=O)c1ccc(Cl)c(Cn2c(=O)[nH]c3cccnc32)c1; [None]; [None]; [0]
+CCc1cncnc1-c1ccccc1C(=O)NC; [None]; [None]; [0]
+CCOc1ccccc1-c1ncncc1CC; [None]; [None]; [0]
+CCc1cncnc1CCC(C)(C)OC; [None]; [None]; [0]
+CCc1cncnc1-c1ccccc1-c1nnc(C)[nH]1; [None]; [None]; [0]
+CCc1cncnc1-c1ccccc1S(=O)(=O)C(C)C; [None]; [None]; [0]
+CCc1cncnc1-c1ccccc1P(C)(C)=O; [None]; [None]; [0]
+CCc1cncnc1Cc1cc(F)cc(F)c1; [None]; [None]; [0]
+CCc1cncnc1-c1ccnc2ccccc12; [None]; [None]; [0]
+CCc1cncnc1-c1cnn(CC)c1; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+CCc1cncnc1-c1ccccc1OC(F)(F)F; [None]; [None]; [0]
+CCc1cncnc1-c1ccccc1C(=O)[O-]; [None]; [None]; [0]
+CCc1cncnc1-c1ccccc1C(N)=O; [None]; [None]; [0]
+CCc1cncnc1-c1cnn(Cc2ccccc2)c1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc2ncn(C)c(=O)c2c1; [None]; [None]; [0]
+CCc1cncnc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+CCc1cncnc1-c1cnn(CCO)c1; [None]; [None]; [0]
+CCc1cncnc1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
 CCc1cncnc1-n1ncc2cccc(F)c2c1=O; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(NC(=O)c2ccccc2)c1; [None]; [None]; [0]
+CCc1cncnc1-c1ncc(OC)cn1; [None]; [None]; [0]
+CCc1cncnc1OCC(=O)C(C)C; [None]; [None]; [0]
+CCc1cncnc1-c1cc(Cl)ccc1Cl; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(C)cc1Br; [None]; [None]; [0]
+CCc1cncnc1-c1c(C)nc2ccccn12; [None]; [None]; [0]
+CCc1cncnc1-c1cnc2ccccn12; [None]; [None]; [0]
+CCc1cncnc1-c1sc(C)nc1C; [None]; [None]; [0]
+CCc1cncnc1-c1sc(NC)nc1C; [None]; [None]; [0]
+CCc1cncnc1-c1sc(N)nc1C; [None]; [None]; [0]
+CCc1cncnc1-c1cnc2cccnn12; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(Cn2cncn2)c1; [None]; [None]; [0]
+CCc1cncnc1-c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CCc1cncnc1-c1cc(C)ccc1Cl; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(Br)c1; [None]; [None]; [0]
+CCc1cncnc1NCc1cccnc1; [None]; [None]; [0]
 CCc1cncnc1-c1sc(=O)n(C)c1C; [None]; [None]; [0]
+CCc1cncnc1-c1ccnc(N)n1; [None]; [None]; [0]
 CCc1cncnc1-c1cnn2ncccc12; [None]; [None]; [0]
-CCc1cncnc1Cc1ncc(C(C)(C)C)o1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc2ccccc2c1; [None]; [None]; [0]
+CCc1cncnc1Nc1cccnc1; [None]; [None]; [0]
+CCc1cncnc1-n1cnc2ccccc21; [None]; [None]; [0]
+CCc1cncnc1NCCc1c[nH]cn1; [None]; [None]; [0]
+CCc1cncnc1NC(=O)c1cccs1; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(CC(=O)[O-])c1; [None]; [None]; [0]
+CCc1cncnc1-c1c[nH]nc1C(F)(F)F; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(F)c1C(N)=O; [None]; [None]; [0]
+CCc1cncnc1-c1cncc2ccccc12; [None]; [None]; [0]
+CCc1cncnc1NCCc1ccccc1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(-c2cnn(C)c2)cc1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc2c(N)[nH]nc2c1; [None]; [None]; [0]
 CCc1cncnc1-c1ccc2c(c1)CS(=O)(=O)N2C; [None]; [None]; [0]
-CCc1cncnc1-c1ccc(C(=O)[O-])c(OC)c1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc2c(cnn2C)c1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(-c2cn[nH]c2)cc1; [None]; [None]; [0]
+CCc1cncnc1NCc1ccc(Cl)cc1; [None]; [None]; [0]
+CCCn1cnc(-c2ncncc2CC)n1; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(O)c1; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(CO)c1; [None]; [None]; [0]
+CCc1cncnc1Nc1ccncc1; [None]; [None]; [0]
 CCc1cncnc1-c1cn(C(C)C)nn1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(C(=O)[O-])c(OC)c1; [None]; [None]; [0]
+CCc1cncnc1NCc1ccccc1F; [None]; [None]; [0]
+CCc1cncnc1-c1c[nH]c(SC)n1; [None]; [None]; [0]
+CCc1cncnc1-c1cnoc1C(C)C; [None]; [None]; [0]
 CCc1cncnc1CCc1c[nH]nn1; [None]; [None]; [0]
+CCc1cncnc1-c1csc2ncncc12; [None]; [None]; [0]
+CCc1cncnc1-c1cc2ccccc2[nH]1; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(CCC#N)c1; [None]; [None]; [0]
+CCc1cncnc1-c1csc(N)n1; [None]; [None]; [0]
+CCc1cncnc1-c1cncnc1N; [None]; [None]; [0]
+CCC(=O)Nc1ccc(-c2ncncc2CC)cc1; [None]; [None]; [0]
+CCNc1nc2ccc(-c3ncncc3CC)cc2s1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(F)cc1C(F)(F)F; [None]; [None]; [0]
+CCc1cncnc1CCCC(N)=O; [None]; [None]; [0]
+CCc1cncnc1Oc1ccccn1; [None]; [None]; [0]
 CCc1cncnc1CCNC(=O)CC(C)(C)O; [None]; [None]; [0]
 CCc1cncnc1NC(=O)c1c(Cl)cccc1Cl; [None]; [None]; [0]
+CCc1cncnc1-c1cn(C)c2ccccc12; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(NC(C)=O)c1; [None]; [None]; [0]
+CCc1cncnc1N1CCC(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CCc1cncnc1OCC(C)(C)S(C)(=O)=O; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(OC)c(Cl)c1; [None]; [None]; [0]
+CCc1cncnc1-c1cnn2ccccc12; [None]; [None]; [0]
+CCCn1cc(-c2ncncc2CC)cn1; [None]; [None]; [0]
 CCc1cncnc1-c1ccc(C[NH3+])c(C(F)(F)F)c1; [None]; [None]; [0]
+CCc1cncnc1-c1cc[nH]c(=O)c1; [None]; [None]; [0]
+CCc1cncnc1-c1cccc2c1C(=O)CC2; [None]; [None]; [0]
+CCc1cncnc1CCc1cc(OC)cc(OC)c1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(C(C)(C)N)cc1; [None]; [None]; [0]
 CCc1cncnc1O[C@H](C)c1c(Cl)cncc1Cl; [None]; [None]; [0]
+CCNS(=O)(=O)c1ccccc1-c1ncncc1CC; [None]; [None]; [0]
+CCc1cncnc1-c1ccc([S@](C)=O)cc1; [None]; [None]; [0]
+CCc1cncnc1N(CC)CC; [None]; [None]; [0]
+CCc1cncnc1-c1cc2c(=O)[nH]ccc2o1; [None]; [None]; [0]
 CCc1cncnc1-c1cc2c(=O)[nH]cc(Br)c2s1; [None]; [None]; [0]
+CCc1cncnc1Nc1cnccc1OC; [None]; [None]; [0]
 CCc1cncnc1Nc1cnccc1-c1ccccc1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(C(C)(C)C)cc1; [None]; [None]; [0]
+CCc1cncnc1-c1cncc(OC(C)C)c1; [None]; [None]; [0]
+CCc1cncnc1-c1c(F)cccc1OC; [None]; [None]; [0]
+CCc1cncnc1Nc1cnc2ccccc2c1; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(F)c1C(=O)NC; [None]; [None]; [0]
+CCc1cncnc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+CCc1cncnc1-c1cnc2[nH]ccc2c1; [None]; [None]; [0]
+CCc1cncnc1C1(C)CCN(S(C)(=O)=O)CC1; [None]; [None]; [0]
 CCc1cncnc1N(C)[C@H]1C[C@@H](NS(C)(=O)=O)C1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(S(=O)(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(N2CCOCC2)cc1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(S(=O)(=O)NC)cc1; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(S(C)(=O)=O)cc1; [None]; [None]; [0]
+CCc1cncnc1-c1cc(C)nn1-c1cccc(Cl)c1; [None]; [None]; [0]
 CCc1cncnc1N[C@@H](C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CCc1cncnc1-n1ccc(CO)n1; [None]; [None]; [0]
+CCc1cncnc1-n1cnc(CCO)c1; [None]; [None]; [0]
+CCc1cncnc1N[C@@H](C)C(C)(C)O; [None]; [None]; [0]
+CCc1cncnc1N[C@H](C)C(C)(C)O; [None]; [None]; [0]
+CCc1cncnc1-c1c(F)cccc1Cl; [None]; [None]; [0]
+CCc1cncnc1-n1ncc2ccccc21; [None]; [None]; [0]
+CCc1cncnc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+CCc1cncnc1-n1ncc2c(O)cccc21; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(-n2cncn2)cc1; [None]; [None]; [0]
+CCc1cncnc1-c1[nH]c(SC)nc1C; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(OC)cc1OC; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(C(=O)c2ccccc2)cc1; [None]; [None]; [0]
+CCc1cncnc1-c1nncn1C1CC1; [None]; [None]; [0]
+CCc1cncnc1-c1nncn1C(C)C; [None]; [None]; [0]
+CCc1cncnc1[C@@H]1CC[C@@H](NC(C)=O)CC1; [None]; [None]; [0]
 CCc1cncnc1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
 CCc1cncnc1Cc1nnc2ccc(-c3ccccc3)nn12; [None]; [None]; [0]
 CCc1cncnc1CS(=O)(=O)NCc1ccccn1; [None]; [None]; [0]
+CCc1cncnc1CCC(=O)NCc1ccccn1; [None]; [None]; [0]
+CCc1cncnc1-c1cn(Cc2ccccc2)nn1; [None]; [None]; [0]
+CCc1cc(-c2ncncc2CC)nc(N)n1; [None]; [None]; [0]
+CCCCc1cc(-c2ncncc2CC)nc(N)n1; [None]; [None]; [0]
+CCc1cncnc1-c1nnc(N)s1; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(C(C)(C)O)n1; [None]; [None]; [0]
 CCc1cncnc1-c1cc(C(N)=O)cn1C; [None]; [None]; [0]
 CCc1cncnc1Oc1ccc(C[NH3+])cc1F; [None]; [None]; [0]
+CCc1cncnc1-c1ccc(C(=O)NC)s1; [None]; [None]; [0]
+CCc1cncnc1C1CCN(C(=O)N[C@@H2]C)CC1; [None]; [None]; [0]
+CCc1cncnc1-c1nc2ccccc2s1; [None]; [None]; [0]
 CCc1cncnc1-c1ccc2c(n1)NC(=O)C(C)(C)O2; [None]; [None]; [0]
+CCc1cncnc1-c1cncc(N)n1; [None]; [None]; [0]
 CCc1cncnc1-c1cccc(C(=O)Nc2ccc(C(=O)NC)cc2)c1; [None]; [None]; [0]
+CCc1cncnc1-c1cccc2ccsc12; [None]; [None]; [0]
 CCc1cncnc1-c1cccc2nnsc12; [None]; [None]; [0]
+CCc1cncnc1-c1cnc(NC(C)=O)[nH]1; [None]; [None]; [0]
+CCc1cncnc1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
+CCc1cncnc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+CCc1cncnc1-c1cn(CCO)cn1; [None]; [None]; [0]
+CCc1cncnc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+CCc1cncnc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+CCc1cncnc1-c1cc(C#N)ccc1OC; [None]; [None]; [0]
 CCc1cncnc1Oc1ccc(OC)c(F)c1F; [None]; [None]; [0]
-CCc1cncnc1-c1cccc(C(C)(C)O)n1; [None]; [None]; [0]
+CCc1cncnc1[C@H]1CC[C@@](C)(O)CC1; [None]; [None]; [0]
+CCc1cncnc1-c1cc(OC)ccc1OC; [None]; [None]; [0]
+CCc1cncnc1-c1cccnc1OC; [None]; [None]; [0]
+CCc1cncnc1-c1cccc(S(=O)(=O)N(C)C)c1; [None]; [None]; [0]
+CCc1cncnc1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
+CCc1cncnc1N1CCC(c2nc3ccccc3[nH]2)CC1; [None]; [None]; [0]
 CCc1cncnc1-c1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
+CCc1cncnc1N1CC=C(c2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2ncc3ccccc3n2)CC1; [None]; [None]; [0]
+Cc1ccc2ncn([C@@H]3CC[C@H](CO)CC3)c2c1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2cnc3cccnn23)CC1; [None]; [None]; [0]
+N#Cc1ccc(O)c([C@@H]2CC[C@H](CO)CC2)c1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2nccc3ccccc23)CC1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](Nc2ncccn2)CC1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2cccc(C3CCNCC3)c2)CC1; [None]; [None]; [0]
+Cc1cc([C@@H]2CC[C@H](CO)CC2)nc(N)n1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2ncc(Br)cn2)CC1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2ncc3cccn3n2)CC1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2cc3ccccn3n2)CC1; [None]; [None]; [0]
+CC1(C)Cc2cc([C@@H]3CC[C@H](CO)CC3)ccc2O1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2cccc3ccc(O)cc23)CC1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2ncc(Cl)cn2)CC1; [None]; [None]; [0]
+Cc1csc2c([C@@H]3CC[C@H](CO)CC3)ncnc12; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2ncc3sccc3n2)CC1; [None]; [None]; [0]
+OC[C@H]1CC[C@@H](c2ccc(OC(F)(F)F)cc2)CC1; [None]; [None]; [0]
 C[C@H](Nc1ncc2ccccc2n1)c1ccc(F)cn1; [None]; [None]; [0]
-[NH3+]Cc1ccc(C[C@@H]2CC[C@H](CO)CC2)cc1; [None]; [None]; [0]
+Cn1cc([C@@H]2CC[C@H](CO)CC2)c2ccccc21; [None]; [None]; [0]
 C[C@H](Nc1cnc2cccnn12)c1ccc(F)cn1; [None]; [None]; [0]
+C[C@H](Nc1nccc2ccccc12)c1ccc(F)cn1; [None]; [None]; [0]
+C[C@H](NCc1ccc(C(=O)[O-])cc1)c1ccc(F)cn1; [None]; [None]; [0]
+C[C@H](NCc1ccc(C[NH3+])cc1)c1ccc(F)cn1; [None]; [None]; [0]
 C[C@H](Nc1ncc(Br)cn1)c1ccc(F)cn1; [None]; [None]; [0]
-C[C@H](Nc1cccc(C2CCNCC2)c1)c1ccc(F)cn1; [None]; [None]; [0]
+C[C@H](NCc1ccc(O)cc1)c1ccc(F)cn1; [None]; [None]; [0]
 C[C@H](Nc1ncc2cccn2n1)c1ccc(F)cn1; [None]; [None]; [0]
-C[C@H](Nc1ccc2c(c1)CC(C)(C)O2)c1ccc(F)cn1; [None]; [None]; [0]
 C[C@H](Nc1cc2ccccn2n1)c1ccc(F)cn1; [None]; [None]; [0]
+C[C@H](Nc1ccc2c(c1)CC(C)(C)O2)c1ccc(F)cn1; [None]; [None]; [0]
 C[C@H](Nc1ncc(Cl)cn1)c1ccc(F)cn1; [None]; [None]; [0]
 Cc1csc2c(N[C@@H](C)c3ccc(F)cn3)ncnc12; [None]; [None]; [0]
 C[C@H](Nc1ncc2sccc2n1)c1ccc(F)cn1; [None]; [None]; [0]
+C[C@H](NCCc1c[nH]c2ccccc12)c1ccc(F)cn1; [None]; [None]; [0]
 C[C@H](Nc1ccc(OC(F)(F)F)cc1)c1ccc(F)cn1; [None]; [None]; [0]
 C[C@H](Nc1cn(C)c2ccccc12)c1ccc(F)cn1; [None]; [None]; [0]
+C[C@H](Nc1ncc2ccccc2n1)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](Nc1cnc2cccnn12)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](Nc1nccc2ccccc12)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](NCc1ccc(C[NH3+])cc1)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](NCc1ccc(C(=O)[O-])cc1)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](Nc1ncc(Br)cn1)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](NCc1ccc(O)cc1)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](Nc1cc2ccccn2n1)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](Nc1ncc2cccn2n1)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](Nc1ncc(Cl)cn1)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](Nc1ccc2c(c1)CC(C)(C)O2)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](Nc1ncc2sccc2n1)c1ccc(F)cc1F; [None]; [None]; [0]
+Cc1csc2c(N[C@@H](C)c3ccc(F)cc3F)ncnc12; [None]; [None]; [0]
+C[C@H](Nc1ccc(OC(F)(F)F)cc1)c1ccc(F)cc1F; [None]; [None]; [0]
+C[C@H](NCCc1c[nH]c2ccccc12)c1ccc(F)cc1F; [None]; [None]; [0]
+CCn1cc(-c2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
+CCn1cc(-c2cccc(O)c2)cn1; [None]; [None]; [0]
+C[C@H](Nc1cn(C)c2ccccc12)c1ccc(F)cc1F; [None]; [None]; [0]
+CCn1cc(-c2cc(F)cc(Cl)c2)cn1; [None]; [None]; [0]
+CCn1cc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cn1; [None]; [None]; [0]
+CCn1cc(-c2ccc(S(=O)(=O)NC)cc2)cn1; [None]; [None]; [0]
+CCn1cc(-c2cn[nH]c2Cl)cn1; [None]; [None]; [0]
+CCn1cc(-c2cc(F)c3nc(C)[nH]c3c2)cn1; [None]; [None]; [0]
+CCn1cc(-c2nn(C)c3ccccc23)cn1; [None]; [None]; [0]
+CCn1cc(-c2n[nH]c3c(Cl)cccc23)cn1; [None]; [None]; [0]
+CCn1cc(-c2c[nH]c3cnccc23)cn1; [None]; [None]; [0]
+CCn1cc(Nc2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
+CCn1cc(-c2[nH]cnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
+CCn1cc(-c2cccc(OC)c2)cn1; [None]; [None]; [0]
+CCn1cc(-c2cc(C(F)F)n[nH]2)cn1; [None]; [None]; [0]
+CCn1cc(-c2ccc3cc(OC)ccc3c2)cn1; [None]; [None]; [0]
+CCc1sccc1-c1cnn(CC)c1; [None]; [None]; [0]
+CCn1cc(-c2c(C)ccc(O)c2C)cn1; [None]; [None]; [0]
+CCn1cc(-c2cc(O)n3nccc3n2)cn1; [None]; [None]; [0]
+CCn1cc(-c2c(N)cnn2C)cn1; [None]; [None]; [0]
+CCn1cc(-c2ccc(F)c(C)n2)cn1; [None]; [None]; [0]
+CCn1cc(-c2ccc(OC)cn2)cn1; [None]; [None]; [0]
+CCn1cc(-c2ccc(OC)nc2)cn1; [None]; [None]; [0]
+CCn1cc(-c2cccc(COC)c2)cn1; [None]; [None]; [0]
+COc1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+CCn1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
+COc1cccc(-n2cnc3ccc(C)cc32)c1; [None]; [None]; [0]
+COc1cccc(-c2nccc3ccccc23)c1; [None]; [None]; [0]
+COc1cccc(-c2cnc3cccnn23)c1; [None]; [None]; [0]
+COc1cccc(-c2cc(C#N)ccc2O)c1; [None]; [None]; [0]
+COc1cccc(Nc2ncccn2)c1; [None]; [None]; [0]
+COc1cccc(-c2cccc(C3CCNCC3)c2)c1; [None]; [None]; [0]
+COc1cccc(-c2cc(C)nc(N)n2)c1; [None]; [None]; [0]
+COc1cccc(-c2ncc(Br)cn2)c1; [None]; [None]; [0]
+COc1cccc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
+COc1cccc(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
+COc1cccc(-c2ccc3c(c2)CC(C)(C)O3)c1; [None]; [None]; [0]
+COc1cccc(-c2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
+COc1cccc(-c2ncc(Cl)cn2)c1; [None]; [None]; [0]
+COc1cccc(-c2ncnc3c(C)csc23)c1; [None]; [None]; [0]
+COc1cccc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
+COc1cccc(-c2ccc(OC(F)(F)F)cc2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(O)c2)cc1; [None]; [None]; [0]
+COc1cccc(-c2cn(C)c3ccccc23)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2n[nH]c3ccccc23)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc(F)cc(Cl)c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)cc2)cc1; [None]; [None]; [0]
+Cn1nc(-c2ccc(NC(N)=O)cc2)c2ccccc21; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cn[nH]c2Cl)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2n[nH]c3c(Cl)cccc23)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2[nH]cnc2-c2ccc(F)cc2)cc1; [None]; [None]; [0]
+COc1ccc2cc(-c3ccc(NC(N)=O)cc3)ccc2c1; [None]; [None]; [0]
+COc1cccc(-c2ccc(NC(N)=O)cc2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+CCc1sccc1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc(O)n3nccc3n2)cc1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+Cc1nc(-c2ccc(NC(N)=O)cc2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2ccc(NC(N)=O)cc2)c1; [None]; [None]; [0]
+COc1ccc(-c2ccc(NC(N)=O)cc2)cn1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(NC(N)=O)cc2)nc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)cc1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ccc(NC(N)=O)cc3)c2c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2ccc(NC(N)=O)cc2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2nccc3ccccc23)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(C3CCNCC3)c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc(NC(N)=O)cc2)nc(N)n1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc(Br)cn2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc3cccn3n2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc3ccccn3n2)cc1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3ccc(NC(N)=O)cc3)ccc2O1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc3ccc(O)cc23)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc(Cl)cn2)cc1; [None]; [None]; [0]
+Cc1csc2c(-c3ccc(NC(N)=O)cc3)ncnc12; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc3sccc3n2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(OC(F)(F)F)cc2)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(NC(N)=O)cc2)c2ccccc21; [None]; [None]; [0]
+Oc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3n[nH]c4ccccc34)[nH]2)cc1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3ccc4c(c3)Cc3c[nH]nc3-4)[nH]2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
+Cn1nc(-c2cnc(-c3ccccc3)[nH]2)c2ccccc21; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnc(-c4ccccc4)[nH]3)cc2[nH]1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3c[nH]c4cnccc34)[nH]2)cc1; [None]; [None]; [0]
+Clc1cccc2c(-c3cnc(-c4ccccc4)[nH]3)n[nH]c12; [None]; [None]; [0]
+c1ccc(-c2ncc(Nc3n[nH]c4ccccc34)[nH]2)cc1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
+FC(F)c1cc(-c2cnc(-c3ccccc3)[nH]2)[nH]n1; [None]; [None]; [0]
+COc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3cnc(-c4ccccc4)[nH]3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+Oc1cc(-c2cnc(-c3ccccc3)[nH]2)nc2ccnn12; [None]; [None]; [0]
+Cc1nc(-c2cnc(-c3ccccc3)[nH]2)ccc1F; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+COCc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+COc1ccc(-c2cnc(-c3ccccc3)[nH]2)cn1; [None]; [None]; [0]
+COc1ccc(-c2cnc(-c3ccccc3)[nH]2)nc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
+N[C@H](c1ncc2ccccc2n1)c1ccco1; [None]; [None]; [0]
+N[C@@H](c1ccco1)c1nccc2ccccc12; [None]; [None]; [0]
+N[C@@H](c1ccco1)c1cnc2cccnn12; [None]; [None]; [0]
+N[C@H](Cc1ccc(C[NH3+])cc1)c1ccco1; [None]; [None]; [0]
+N[C@H](Cc1ccc(C(=O)[O-])cc1)c1ccco1; [None]; [None]; [0]
+N[C@H](Cc1ccc(O)cc1)c1ccco1; [None]; [None]; [0]
+N[C@H](c1ncc(Br)cn1)c1ccco1; [None]; [None]; [0]
+N[C@H](c1cc2ccccn2n1)c1ccco1; [None]; [None]; [0]
+N[C@H](c1ncc2cccn2n1)c1ccco1; [None]; [None]; [0]
+CC1(C)Cc2cc([C@@H](N)c3ccco3)ccc2O1; [None]; [None]; [0]
+N[C@H](c1ncc(Cl)cn1)c1ccco1; [None]; [None]; [0]
+Cc1csc2c([C@@H](N)c3ccco3)ncnc12; [None]; [None]; [0]
+N[C@H](c1ncc2sccc2n1)c1ccco1; [None]; [None]; [0]
+N[C@H](CCc1c[nH]c2ccccc12)c1ccco1; [None]; [None]; [0]
+N[C@H](c1ccc(OC(F)(F)F)cc1)c1ccco1; [None]; [None]; [0]
+Cn1cc([C@@H](N)c2ccco2)c2ccccc21; [None]; [None]; [0]
+OCCn1cc(-c2cccc(O)c2)cn1; [None]; [None]; [0]
+OCCn1cc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cn1; [None]; [None]; [0]
+OCCn1cc(-c2cc(F)cc(Cl)c2)cn1; [None]; [None]; [0]
+OCCn1cc(-c2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn(CCO)c2)cc1; [None]; [None]; [0]
+Cn1nc(-c2cnn(CCO)c2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnn(CCO)c3)cc2[nH]1; [None]; [None]; [0]
+OCCn1cc(-c2c[nH]c3cnccc23)cn1; [None]; [None]; [0]
+OCCn1cc(-c2cn[nH]c2Cl)cn1; [None]; [None]; [0]
+OCCn1cc(-c2n[nH]c3c(Cl)cccc23)cn1; [None]; [None]; [0]
+OCCn1cc(Nc2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
+OCCn1cc(-c2[nH]cnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
+COc1cccc(-c2cnn(CCO)c2)c1; [None]; [None]; [0]
+OCCn1cc(-c2cc(C(F)F)n[nH]2)cn1; [None]; [None]; [0]
+COc1ccc2cc(-c3cnn(CCO)c3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cnn(CCO)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cnn(CCO)c1; [None]; [None]; [0]
+OCCn1cc(-c2cc(O)n3nccc3n2)cn1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnn(CCO)c1; [None]; [None]; [0]
+COCc1cccc(-c2cnn(CCO)c2)c1; [None]; [None]; [0]
+Cc1nc(-c2cnn(CCO)c2)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2cnn(CCO)c2)nc1; [None]; [None]; [0]
+COc1ccc(-c2cnn(CCO)c2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cccc(O)c2)cs1; [None]; [None]; [0]
+OCCn1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2n[nH]c3ccccc23)cs1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2csc(C(C)(C)C)n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(F)cc(Cl)c2)cs1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3csc(C(C)(C)C)n3)cc2[nH]1; [None]; [None]; [0]
+Cn1nc(-c2csc(C(C)(C)C)n2)c2ccccc21; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cn[nH]c2Cl)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(Nc2n[nH]c3ccccc23)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2n[nH]c3c(Cl)cccc23)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2c[nH]c3cnccc23)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2[nH]cnc2-c2ccc(F)cc2)cs1; [None]; [None]; [0]
+COc1cccc(-c2csc(C(C)(C)C)n2)c1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(C(F)F)n[nH]2)cs1; [None]; [None]; [0]
+COc1ccc2cc(-c3csc(C(C)(C)C)n3)ccc2c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
+CCc1sccc1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(O)n3nccc3n2)cs1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
+Cc1nc(-c2csc(C(C)(C)C)n2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2csc(C(C)(C)C)n2)c1; [None]; [None]; [0]
+COc1ccc(-c2csc(C(C)(C)C)n2)cn1; [None]; [None]; [0]
+COc1ccc(-c2csc(C(C)(C)C)n2)nc1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cn[nH]c2-c2ccc(Cl)cc2)cs1; [None]; [None]; [0]
+COc1cnc(-c2n[nH]c3ccccc23)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc3c(c2)Cc2c[nH]nc2-3)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(F)cc(Cl)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2nn(C)c3ccccc23)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(F)c3nc(C)[nH]c3c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cn[nH]c2Cl)nc1; [None]; [None]; [0]
+COc1cnc(-c2n[nH]c3c(Cl)cccc23)nc1; [None]; [None]; [0]
+COc1cnc(Nc2n[nH]c3ccccc23)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(OC)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2[nH]cnc2-c2ccc(F)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(C(F)F)n[nH]2)nc1; [None]; [None]; [0]
+CCc1sccc1-c1ncc(OC)cn1; [None]; [None]; [0]
+COc1cnc(-c2ccc3cc(OC)ccc3c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2c(C)ccc(O)c2C)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(F)c(C)n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2c(N)cnn2C)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(O)n3nccc3n2)nc1; [None]; [None]; [0]
+COCc1cccc(-c2ncc(OC)cn2)c1; [None]; [None]; [0]
+COc1cnc(-c2ccc(OC)nc2)nc1; [None]; [None]; [0]
+COc1ccc(-c2ncc(OC)cn2)nc1; [None]; [None]; [0]
+C[C@@H](c1ccc(CO)cc1)c1ccccc1Cl; [None]; [None]; [0]
+COc1cnc(-c2cn[nH]c2-c2ccc(Cl)cc2)nc1; [None]; [None]; [0]
+C[C@@H](Nc1n[nH]c2ccccc12)c1ccccc1Cl; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cccc(O)c1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1n[nH]c2ccccc12; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cc(F)cc(Cl)c1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1ccc2c(c1)Cc1c[nH]nc1-2; [None]; [None]; [0]
+CC(C)NC(=O)Oc1nn(C)c2ccccc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(OC(=O)NC(C)C)cc1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cn[nH]c1Cl; [None]; [None]; [0]
+CC(C)NC(=O)Oc1n[nH]c2c(Cl)cccc12; [None]; [None]; [0]
+COc1cccc(OC(=O)NC(C)C)c1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
+COc1ccc2cc(OC(=O)NC(C)C)ccc2c1; [None]; [None]; [0]
+CCc1sccc1OC(=O)NC(C)C; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1OC(=O)NC(C)C; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cc(O)n2nccc2n1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1c(N)cnn1C; [None]; [None]; [0]
+Cc1nc(OC(=O)NC(C)C)ccc1F; [None]; [None]; [0]
+COCc1cccc(OC(=O)NC(C)C)c1; [None]; [None]; [0]
+COc1ccc(OC(=O)NC(C)C)cn1; [None]; [None]; [0]
+COc1ccc(OC(=O)NC(C)C)nc1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncc3ccccc3n2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2nccc3ccccc23)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cnc3cccnn23)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(Cc2ccc(C(=O)[O-])cc2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(Cc2ccc(C[NH3+])cc2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(Cc2ccc(O)cc2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncc(Br)cn2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cc3ccccn3n2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncc3cccn3n2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ccc3c(c2)CC(C)(C)O3)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncc(Cl)cn2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncnc3c(C)csc23)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncc3sccc3n2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ccc(OC(F)(F)F)cc2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(CCc2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(O)c2)n1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cn(C)c3ccccc23)CC1; [None]; [None]; [0]
+CCCn1cnc(-c2n[nH]c3ccccc23)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3c(c2)Cc2c[nH]nc2-3)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(F)cc(Cl)c2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(S(=O)(=O)NC)cc2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2nn(C)c3ccccc23)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(F)c3nc(C)[nH]c3c2)n1; [None]; [None]; [0]
+COc1cccc(-c2ncc3cccn3n2)c1; [None]; [None]; [0]
+COc1cccc(-c2cc3ccccn3n2)c1; [None]; [None]; [0]
+COc1cccc(-c2ccc3c(c2)CC(C)(C)O3)c1; [None]; [None]; [0]
+COc1cccc(-c2cccc3ccc(O)cc23)c1; [None]; [None]; [0]
+COc1cccc(-c2ncnc3c(C)csc23)c1; [None]; [None]; [0]
+COc1cccc(-c2ncc(Cl)cn2)c1; [None]; [None]; [0]
+COc1cccc(-c2ncc3sccc3n2)c1; [None]; [None]; [0]
+COc1cccc(-c2ccc(OC(F)(F)F)cc2)c1; [None]; [None]; [0]
+COc1cccc(-c2cn(C)c3ccccc23)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(O)c2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2n[nH]c3ccccc23)cc1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(NC(N)=O)cc2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc(F)cc(Cl)c2)cc1; [None]; [None]; [0]
+Cn1nc(-c2ccc(NC(N)=O)cc2)c2ccccc21; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cn[nH]c2Cl)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2n[nH]c3c(Cl)cccc23)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2[nH]cnc2-c2ccc(F)cc2)cc1; [None]; [None]; [0]
+COc1cccc(-c2ccc(NC(N)=O)cc2)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3ccc(NC(N)=O)cc3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
 NC(=O)Nc1ccc(-c2cc(O)n3nccc3n2)cc1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+Cc1nc(-c2ccc(NC(N)=O)cc2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2ccc(NC(N)=O)cc2)c1; [None]; [None]; [0]
+COc1ccc(-c2ccc(NC(N)=O)cc2)cn1; [None]; [None]; [0]
+COc1ccc(-c2ccc(NC(N)=O)cc2)nc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3ccc(NC(N)=O)cc3)c2c1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2ccc(NC(N)=O)cc2)c1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2nccc3ccccc23)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Nc2ncccn2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc(C3CCNCC3)c2)cc1; [None]; [None]; [0]
+Cc1cc(-c2ccc(NC(N)=O)cc2)nc(N)n1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc(Br)cn2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc3cccn3n2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc3ccccn3n2)cc1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3ccc(NC(N)=O)cc3)ccc2O1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc3ccc(O)cc23)cc1; [None]; [None]; [0]
+Cc1csc2c(-c3ccc(NC(N)=O)cc3)ncnc12; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc(Cl)cn2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ncc3sccc3n2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2ccc(OC(F)(F)F)cc2)cc1; [None]; [None]; [0]
+Cn1cc(-c2ccc(NC(N)=O)cc2)c2ccccc21; [None]; [None]; [0]
+Oc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3n[nH]c4ccccc34)[nH]2)cc1; [None]; [None]; [0]
 c1ccc(-c2ncc(-c3ccc4c(c3)Cc3c[nH]nc3-4)[nH]2)cc1; [None]; [None]; [0]
-NC(=O)Nc1ccc(Cc2ccc(C[NH3+])cc2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
+Cn1nc(-c2cnc(-c3ccccc3)[nH]2)c2ccccc21; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnc(-c4ccccc4)[nH]3)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+c1ccc(-c2ncc(-c3c[nH]c4cnccc34)[nH]2)cc1; [None]; [None]; [0]
+Clc1cccc2c(-c3cnc(-c4ccccc4)[nH]3)n[nH]c12; [None]; [None]; [0]
+c1ccc(-c2ncc(Nc3n[nH]c4ccccc34)[nH]2)cc1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
+COc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+FC(F)c1cc(-c2cnc(-c3ccccc3)[nH]2)[nH]n1; [None]; [None]; [0]
+COc1ccc2cc(-c3cnc(-c4ccccc4)[nH]3)ccc2c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+CCc1sccc1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
 Oc1cc(-c2cnc(-c3ccccc3)[nH]2)nc2ccnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnc(-c2ccccc2)[nH]1; [None]; [None]; [0]
+COCc1cccc(-c2cnc(-c3ccccc3)[nH]2)c1; [None]; [None]; [0]
+Cc1nc(-c2cnc(-c3ccccc3)[nH]2)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2cnc(-c3ccccc3)[nH]2)cn1; [None]; [None]; [0]
+COc1ccc(-c2cnc(-c3ccccc3)[nH]2)nc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2cnc(-c3ccccc3)[nH]2)cc1; [None]; [None]; [0]
+N[C@H](c1ncc2ccccc2n1)c1ccco1; [None]; [None]; [0]
+N[C@@H](c1ccco1)c1cnc2cccnn12; [None]; [None]; [0]
+N[C@@H](c1ccco1)c1nccc2ccccc12; [None]; [None]; [0]
+N[C@H](Cc1ccc(C(=O)[O-])cc1)c1ccco1; [None]; [None]; [0]
+N[C@H](Cc1ccc(C[NH3+])cc1)c1ccco1; [None]; [None]; [0]
+N[C@H](Cc1ccc(O)cc1)c1ccco1; [None]; [None]; [0]
+N[C@H](c1ncc(Br)cn1)c1ccco1; [None]; [None]; [0]
+N[C@H](c1ncc2cccn2n1)c1ccco1; [None]; [None]; [0]
+N[C@H](c1cc2ccccn2n1)c1ccco1; [None]; [None]; [0]
+CC1(C)Cc2cc([C@@H](N)c3ccco3)ccc2O1; [None]; [None]; [0]
+Cc1csc2c([C@@H](N)c3ccco3)ncnc12; [None]; [None]; [0]
+N[C@H](c1ncc(Cl)cn1)c1ccco1; [None]; [None]; [0]
+N[C@H](CCc1c[nH]c2ccccc12)c1ccco1; [None]; [None]; [0]
+N[C@H](c1ncc2sccc2n1)c1ccco1; [None]; [None]; [0]
+N[C@H](c1ccc(OC(F)(F)F)cc1)c1ccco1; [None]; [None]; [0]
+Cn1cc([C@@H](N)c2ccco2)c2ccccc21; [None]; [None]; [0]
+OCCn1cc(-c2cccc(O)c2)cn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn(CCO)c2)cc1; [None]; [None]; [0]
 OCCn1cc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cn1; [None]; [None]; [0]
-OCCn1cc(-c2cc(O)n3nccc3n2)cn1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2cc(O)n3nccc3n2)cs1; [None]; [None]; [0]
-CC(C)(C)c1nc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cs1; [None]; [None]; [0]
-COc1cnc(-c2ccc3c(c2)Cc2c[nH]nc2-3)nc1; [None]; [None]; [0]
-COc1cnc(-c2cc(O)n3nccc3n2)nc1; [None]; [None]; [0]
-C[C@@H](c1ccc2c(c1)Cc1c[nH]nc1-2)c1ccccc1Cl; [None]; [None]; [0]
-C[C@@H](c1cc(O)n2nccc2n1)c1ccccc1Cl; [None]; [None]; [0]
-CCCn1cnc(-c2ccc3c(c2)Cc2c[nH]nc2-3)n1; [None]; [None]; [0]
+OCCn1cc(-c2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
+OCCn1cc(-c2cc(F)cc(Cl)c2)cn1; [None]; [None]; [0]
+Cn1nc(-c2cnn(CCO)c2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnn(CCO)c3)cc2[nH]1; [None]; [None]; [0]
+OCCn1cc(-c2cn[nH]c2Cl)cn1; [None]; [None]; [0]
+OCCn1cc(-c2c[nH]c3cnccc23)cn1; [None]; [None]; [0]
+OCCn1cc(-c2n[nH]c3c(Cl)cccc23)cn1; [None]; [None]; [0]
+OCCn1cc(-c2[nH]cnc2-c2ccc(F)cc2)cn1; [None]; [None]; [0]
+OCCn1cc(Nc2n[nH]c3ccccc23)cn1; [None]; [None]; [0]
+OCCn1cc(-c2cc(C(F)F)n[nH]2)cn1; [None]; [None]; [0]
+COc1cccc(-c2cnn(CCO)c2)c1; [None]; [None]; [0]
+CCCn1cnc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cn[nH]c2Cl)n1; [None]; [None]; [0]
+CCCn1cnc(Nc2n[nH]c3ccccc23)n1; [None]; [None]; [0]
+CCCn1cnc(-c2n[nH]c3c(Cl)cccc23)n1; [None]; [None]; [0]
+CCCn1cnc(-c2[nH]cnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(OC)c2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(C(F)F)n[nH]2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3cc(OC)ccc3c2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2c(C)ccc(O)c2C)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccsc2CC)n1; [None]; [None]; [0]
+CCCn1cnc(-c2c(N)cnn2C)n1; [None]; [None]; [0]
 CCCn1cnc(-c2cc(O)n3nccc3n2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(F)c(C)n2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(COC)c2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(OC)nc2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(OC)cn2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cn[nH]c2-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
+CSc1nc(-c2cccc(O)c2)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2n[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
 CSc1nc(-c2ccc3c(c2)Cc2c[nH]nc2-3)c[nH]1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c[nH]c(SC)n2)cc1; [None]; [None]; [0]
+CSc1nc(-c2cc(F)cc(Cl)c2)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2nn(C)c3ccccc23)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2cc(F)c3nc(C)[nH]c3c2)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2cn[nH]c2Cl)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2c[nH]c3cnccc23)c[nH]1; [None]; [None]; [0]
+CSc1nc(Nc2n[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2n[nH]c3c(Cl)cccc23)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2[nH]cnc2-c2ccc(F)cc2)c[nH]1; [None]; [None]; [0]
+COc1cccc(-c2c[nH]c(SC)n2)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3c[nH]c(SC)n3)ccc2c1; [None]; [None]; [0]
+CSc1nc(-c2cc(C(F)F)n[nH]2)c[nH]1; [None]; [None]; [0]
+CCc1sccc1-c1c[nH]c(SC)n1; [None]; [None]; [0]
+CSc1nc(-c2c(C)ccc(O)c2C)c[nH]1; [None]; [None]; [0]
 CSc1nc(-c2cc(O)n3nccc3n2)c[nH]1; [None]; [None]; [0]
-CC(C)c1oncc1-c1cc(O)n2nccc2n1; [None]; [None]; [0]
+CSc1nc(-c2c(N)cnn2C)c[nH]1; [None]; [None]; [0]
+COCc1cccc(-c2c[nH]c(SC)n2)c1; [None]; [None]; [0]
+CSc1nc(-c2ccc(F)c(C)n2)c[nH]1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c(SC)n2)cn1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c(SC)n2)nc1; [None]; [None]; [0]
+CSc1nc(-c2cn[nH]c2-c2ccc(Cl)cc2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc(O)c1; [None]; [None]; [0]
+CC(C)c1oncc1-c1n[nH]c2ccccc12; [None]; [None]; [0]
 CC(C)c1oncc1-c1ccc2c(c1)Cc1c[nH]nc1-2; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnoc2C(C)C)cc1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(F)cc(Cl)c1; [None]; [None]; [0]
+CC(C)c1oncc1-c1nn(C)c2ccccc12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnoc3C(C)C)cc2[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cn[nH]c1Cl; [None]; [None]; [0]
+CC(C)c1oncc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+CC(C)c1oncc1-c1n[nH]c2c(Cl)cccc12; [None]; [None]; [0]
+CC(C)c1oncc1Nc1n[nH]c2ccccc12; [None]; [None]; [0]
+CC(C)c1oncc1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
+COc1cccc(-c2cnoc2C(C)C)c1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(C(F)F)n[nH]1; [None]; [None]; [0]
+COc1ccc2cc(-c3cnoc3C(C)C)ccc2c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cnoc1C(C)C; [None]; [None]; [0]
+CCc1sccc1-c1cnoc1C(C)C; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(O)n2nccc2n1; [None]; [None]; [0]
+CC(C)c1oncc1-c1c(N)cnn1C; [None]; [None]; [0]
+Cc1nc(-c2cnoc2C(C)C)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2cnoc2C(C)C)c1; [None]; [None]; [0]
+COc1ccc(-c2cnoc2C(C)C)cn1; [None]; [None]; [0]
+COc1ccc(-c2cnoc2C(C)C)nc1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+Nc1nc(-c2ncc3ccccc3n2)cs1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2csc(N)n2)c1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3csc(N)n3)c2c1; [None]; [None]; [0]
+Nc1nc(-c2nccc3ccccc23)cs1; [None]; [None]; [0]
+Nc1nc(-c2cccc(C3CCNCC3)c2)cs1; [None]; [None]; [0]
+Cc1cc(-c2csc(N)n2)nc(N)n1; [None]; [None]; [0]
+Nc1nc(-c2ncc(Br)cn2)cs1; [None]; [None]; [0]
+Nc1nc(-c2ncc3cccn3n2)cs1; [None]; [None]; [0]
+Nc1nc(-c2cc3ccccn3n2)cs1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3csc(N)n3)ccc2O1; [None]; [None]; [0]
+Nc1nc(-c2cccc3ccc(O)cc23)cs1; [None]; [None]; [0]
+Nc1nc(-c2ncc(Cl)cn2)cs1; [None]; [None]; [0]
+Cc1csc2c(-c3csc(N)n3)ncnc12; [None]; [None]; [0]
+Nc1nc(-c2ncc3sccc3n2)cs1; [None]; [None]; [0]
+Nc1nc(-c2ccc(OC(F)(F)F)cc2)cs1; [None]; [None]; [0]
+CS(=O)(=O)CCNCc1cc(C#N)ccc1O; [None]; [None]; [0]
+CS(=O)(=O)CCNCNc1ncccn1; [None]; [None]; [0]
+CS(=O)(=O)CCNCc1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+Cc1cc(CNCCS(C)(=O)=O)nc(N)n1; [None]; [None]; [0]
+CS(=O)(=O)CCNCc1cccc2ccc(O)cc12; [None]; [None]; [0]
+Oc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
+c1ccc2c(-c3cnn4ccccc34)n[nH]c2c1; [None]; [None]; [0]
 c1ccn2ncc(-c3ccc4c(c3)Cc3c[nH]nc3-4)c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn3ccccc23)cc1; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
+Cn1nc(-c2cnn3ccccc23)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnn4ccccc34)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1cnn2ccccc12; [None]; [None]; [0]
+c1ccn2ncc(-c3c[nH]c4cnccc34)c2c1; [None]; [None]; [0]
+Clc1cccc2c(-c3cnn4ccccc34)n[nH]c12; [None]; [None]; [0]
+c1ccc2c(Nc3cnn4ccccc34)n[nH]c2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2cnn3ccccc23)cc1; [None]; [None]; [0]
+COc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
+FC(F)c1cc(-c2cnn3ccccc23)[nH]n1; [None]; [None]; [0]
+COc1ccc2cc(-c3cnn4ccccc34)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cnn2ccccc12; [None]; [None]; [0]
+COc1ccc2cc(-c3cnn(CCO)c3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cnn(CCO)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cnn(CCO)c1; [None]; [None]; [0]
+OCCn1cc(-c2cc(O)n3nccc3n2)cn1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnn(CCO)c1; [None]; [None]; [0]
+COCc1cccc(-c2cnn(CCO)c2)c1; [None]; [None]; [0]
+Cc1nc(-c2cnn(CCO)c2)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2cnn(CCO)c2)nc1; [None]; [None]; [0]
+COc1ccc(-c2cnn(CCO)c2)cn1; [None]; [None]; [0]
+OCCn1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)cn1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cccc(O)c2)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2n[nH]c3ccccc23)cs1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2csc(C(C)(C)C)n2)cc1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(F)cc(Cl)c2)cs1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3csc(C(C)(C)C)n3)cc2[nH]1; [None]; [None]; [0]
+Cn1nc(-c2csc(C(C)(C)C)n2)c2ccccc21; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cn[nH]c2Cl)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2c[nH]c3cnccc23)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2n[nH]c3c(Cl)cccc23)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2[nH]cnc2-c2ccc(F)cc2)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(C(F)F)n[nH]2)cs1; [None]; [None]; [0]
+CC(C)(C)c1nc(Nc2n[nH]c3ccccc23)cs1; [None]; [None]; [0]
+COc1cccc(-c2csc(C(C)(C)C)n2)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3csc(C(C)(C)C)n3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cc(O)n3nccc3n2)cs1; [None]; [None]; [0]
+COCc1cccc(-c2csc(C(C)(C)C)n2)c1; [None]; [None]; [0]
+COc1ccc(-c2csc(C(C)(C)C)n2)cn1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1csc(C(C)(C)C)n1; [None]; [None]; [0]
+Cc1nc(-c2csc(C(C)(C)C)n2)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2csc(C(C)(C)C)n2)nc1; [None]; [None]; [0]
+CC(C)(C)c1nc(-c2cn[nH]c2-c2ccc(Cl)cc2)cs1; [None]; [None]; [0]
+COc1cnc(-c2n[nH]c3ccccc23)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(F)cc(Cl)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc3c(c2)Cc2c[nH]nc2-3)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(F)c3nc(C)[nH]c3c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cn[nH]c2Cl)nc1; [None]; [None]; [0]
+COc1cnc(-c2n[nH]c3c(Cl)cccc23)nc1; [None]; [None]; [0]
+COc1cnc(Nc2n[nH]c3ccccc23)nc1; [None]; [None]; [0]
+COc1cnc(-c2nn(C)c3ccccc23)nc1; [None]; [None]; [0]
+COc1cnc(-c2[nH]cnc2-c2ccc(F)cc2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cccc(OC)c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(C(F)F)n[nH]2)nc1; [None]; [None]; [0]
+COc1cnc(-c2c(C)ccc(O)c2C)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc3cc(OC)ccc3c2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cc(O)n3nccc3n2)nc1; [None]; [None]; [0]
+CCc1sccc1-c1ncc(OC)cn1; [None]; [None]; [0]
+COc1cnc(-c2c(N)cnn2C)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(F)c(C)n2)nc1; [None]; [None]; [0]
+COc1cnc(-c2cn[nH]c2-c2ccc(Cl)cc2)nc1; [None]; [None]; [0]
+COCc1cccc(-c2ncc(OC)cn2)c1; [None]; [None]; [0]
+COc1ccc(-c2ncc(OC)cn2)nc1; [None]; [None]; [0]
+COc1cnc(-c2ccc(OC)nc2)nc1; [None]; [None]; [0]
+C[C@@H](c1ccc(CO)cc1)c1ccccc1Cl; [None]; [None]; [0]
+C[C@@H](Nc1n[nH]c2ccccc12)c1ccccc1Cl; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cccc(O)c1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1n[nH]c2ccccc12; [None]; [None]; [0]
+CC(C)NC(=O)Oc1nn(C)c2ccccc12; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cc(F)cc(Cl)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(OC(=O)NC(C)C)cc1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1ccc2c(c1)Cc1c[nH]nc1-2; [None]; [None]; [0]
+CC(C)NC(=O)Oc1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1n[nH]c2c(Cl)cccc12; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cn[nH]c1Cl; [None]; [None]; [0]
+COc1cccc(OC(=O)NC(C)C)c1; [None]; [None]; [0]
+COc1ccc2cc(OC(=O)NC(C)C)ccc2c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1OC(=O)NC(C)C; [None]; [None]; [0]
+CCc1sccc1OC(=O)NC(C)C; [None]; [None]; [0]
+COCc1cccc(OC(=O)NC(C)C)c1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cc(O)n2nccc2n1; [None]; [None]; [0]
+Cc1nc(OC(=O)NC(C)C)ccc1F; [None]; [None]; [0]
+CC(C)NC(=O)Oc1c(N)cnn1C; [None]; [None]; [0]
+COc1ccc(OC(=O)NC(C)C)cn1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cnc3cccnn23)CC1; [None]; [None]; [0]
+COc1ccc(OC(=O)NC(C)C)nc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2nccc3ccccc23)CC1; [None]; [None]; [0]
+CC(C)NC(=O)Oc1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncc3ccccc3n2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(Cc2ccc(C[NH3+])cc2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(Cc2ccc(C(=O)[O-])cc2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(Cc2ccc(O)cc2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncc3cccn3n2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncc(Br)cn2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ccc3c(c2)CC(C)(C)O3)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncnc3c(C)csc23)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncc(Cl)cn2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cc3ccccn3n2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ncc3sccc3n2)CC1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2ccc(OC(F)(F)F)cc2)CC1; [None]; [None]; [0]
+CCCn1cnc(-c2n[nH]c3ccccc23)n1; [None]; [None]; [0]
+CC(=O)N1CCCN(CCc2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(O)c2)n1; [None]; [None]; [0]
+CC(=O)N1CCCN(c2cn(C)c3ccccc23)CC1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(S(=O)(=O)NC)cc2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3c(c2)Cc2c[nH]nc2-3)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(F)cc(Cl)c2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cn[nH]c2Cl)n1; [None]; [None]; [0]
+CCCn1cnc(-c2nn(C)c3ccccc23)n1; [None]; [None]; [0]
+CCCn1cnc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cnn2ccccc12; [None]; [None]; [0]
 Oc1cc(-c2cnn3ccccc23)nc2ccnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnn2ccccc12; [None]; [None]; [0]
+COCc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
+Cc1nc(-c2cnn3ccccc23)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2cnn3ccccc23)cn1; [None]; [None]; [0]
+COc1ccc(-c2cnn3ccccc23)nc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2cnn3ccccc23)cc1; [None]; [None]; [0]
+Oc1cccc(NCc2ccccc2)c1; [None]; [None]; [0]
+c1ccc(CNc2n[nH]c3ccccc23)cc1; [None]; [None]; [0]
 c1ccc(CNc2ccc3c(c2)Cc2c[nH]nc2-3)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NCc2ccccc2)cc1; [None]; [None]; [0]
+Fc1cc(Cl)cc(NCc2ccccc2)c1; [None]; [None]; [0]
+Cn1nc(NCc2ccccc2)c2ccccc21; [None]; [None]; [0]
+Clc1[nH]ncc1NCc1ccccc1; [None]; [None]; [0]
+Clc1cccc2c(NCc3ccccc3)n[nH]c12; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2NCc2ccccc2)cc1; [None]; [None]; [0]
+COc1cccc(NCc2ccccc2)c1; [None]; [None]; [0]
+COc1ccc2cc(NCc3ccccc3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1NCc1ccccc1; [None]; [None]; [0]
 Oc1cc(NCc2ccccc2)nc2ccnn12; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1NCc1ccccc1; [None]; [None]; [0]
+Cn1ncc(N)c1NCc1ccccc1; [None]; [None]; [0]
+Cc1nc(NCc2ccccc2)ccc1F; [None]; [None]; [0]
+COCc1cccc(NCc2ccccc2)c1; [None]; [None]; [0]
+COc1ccc(NCc2ccccc2)cn1; [None]; [None]; [0]
+COc1ccc(NCc2ccccc2)nc1; [None]; [None]; [0]
+FC(F)(F)c1cccc(NCc2ccccc2)c1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2NCc2ccccc2)cc1; [None]; [None]; [0]
+OC[C@@H](Nc1cccc(O)c1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1n[nH]c2ccccc12)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
 OC[C@@H](Nc1ccc2c(c1)Cc1c[nH]nc1-2)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(N[C@H](CO)c2ccc(F)c(Cl)c2)cc1; [None]; [None]; [0]
+OC[C@@H](Nc1cc(F)cc(Cl)c1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+Cn1nc(N[C@H](CO)c2ccc(F)c(Cl)c2)c2ccccc21; [None]; [None]; [0]
+OC[C@@H](Nc1cn[nH]c1Cl)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1n[nH]c2c(Cl)cccc12)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1[nH]cnc1-c1ccc(F)cc1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+COc1cccc(N[C@H](CO)c2ccc(F)c(Cl)c2)c1; [None]; [None]; [0]
+COc1ccc2cc(N[C@H](CO)c3ccc(F)c(Cl)c3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1N[C@H](CO)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
 OC[C@@H](Nc1cc(O)n2nccc2n1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1N[C@H](CO)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+Cn1ncc(N)c1N[C@H](CO)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+Cc1nc(N[C@H](CO)c2ccc(F)c(Cl)c2)ccc1F; [None]; [None]; [0]
+COCc1cccc(N[C@H](CO)c2ccc(F)c(Cl)c2)c1; [None]; [None]; [0]
+COc1ccc(N[C@H](CO)c2ccc(F)c(Cl)c2)cn1; [None]; [None]; [0]
+OC[C@@H](Nc1cccc(C(F)(F)F)c1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+COc1ccc(N[C@H](CO)c2ccc(F)c(Cl)c2)nc1; [None]; [None]; [0]
+OC[C@@H](Nc1cn[nH]c1-c1ccc(Cl)cc1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1cccc(O)c1)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1n[nH]c2ccccc12)c1ccccc1; [None]; [None]; [0]
 OC[C@@H](Nc1ccc2c(c1)Cc1c[nH]nc1-2)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1cc(F)cc(Cl)c1)c1ccccc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(N[C@H](CO)c2ccccc2)cc1; [None]; [None]; [0]
+Cn1nc(N[C@H](CO)c2ccccc2)c2ccccc21; [None]; [None]; [0]
+OC[C@@H](Nc1cn[nH]c1Cl)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1n[nH]c2c(Cl)cccc12)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1[nH]cnc1-c1ccc(F)cc1)c1ccccc1; [None]; [None]; [0]
+COc1cccc(N[C@H](CO)c2ccccc2)c1; [None]; [None]; [0]
+COc1ccc2cc(N[C@H](CO)c3ccccc3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1N[C@H](CO)c1ccccc1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1N[C@H](CO)c1ccccc1; [None]; [None]; [0]
 OC[C@@H](Nc1cc(O)n2nccc2n1)c1ccccc1; [None]; [None]; [0]
+Cn1ncc(N)c1N[C@H](CO)c1ccccc1; [None]; [None]; [0]
+COCc1cccc(N[C@H](CO)c2ccccc2)c1; [None]; [None]; [0]
+Cc1nc(N[C@H](CO)c2ccccc2)ccc1F; [None]; [None]; [0]
+COc1ccc(N[C@H](CO)c2ccccc2)cn1; [None]; [None]; [0]
+COc1ccc(N[C@H](CO)c2ccccc2)nc1; [None]; [None]; [0]
+OC[C@@H](Nc1cccc(C(F)(F)F)c1)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1cn[nH]c1-c1ccc(Cl)cc1)c1ccccc1; [None]; [None]; [0]
+C[C@H](Nc1n[nH]c2ccccc12)c1ccccc1; [None]; [None]; [0]
+C[C@@H](c1ccccc1)c1ccc(CO)cc1; [None]; [None]; [0]
+c1cncc(CCNc2ncc3ccccc3n2)c1; [None]; [None]; [0]
+c1cncc(CCNc2cnc3cccnn23)c1; [None]; [None]; [0]
+c1cncc(CCNc2nccc3ccccc23)c1; [None]; [None]; [0]
+O=C([O-])c1ccc(CNCCc2cccnc2)cc1; [None]; [None]; [0]
+[NH3+]Cc1ccc(CNCCc2cccnc2)cc1; [None]; [None]; [0]
+Oc1ccc(CNCCc2cccnc2)cc1; [None]; [None]; [0]
+Brc1cnc(NCCc2cccnc2)nc1; [None]; [None]; [0]
+c1cncc(CCNc2ncc3cccn3n2)c1; [None]; [None]; [0]
+c1cncc(CCNc2cc3ccccn3n2)c1; [None]; [None]; [0]
+CC1(C)Cc2cc(NCCc3cccnc3)ccc2O1; [None]; [None]; [0]
+Cc1csc2c(NCCc3cccnc3)ncnc12; [None]; [None]; [0]
+Clc1cnc(NCCc2cccnc2)nc1; [None]; [None]; [0]
+c1cncc(CCNc2ncc3sccc3n2)c1; [None]; [None]; [0]
+c1cncc(CCNCCc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(NCCc2cccnc2)cc1; [None]; [None]; [0]
+Cn1cc(NCCc2cccnc2)c2ccccc21; [None]; [None]; [0]
+Cc1cc(CNc2ncc3ccccc3n2)on1; [None]; [None]; [0]
+Cc1cc(CNc2cnc3cccnn23)on1; [None]; [None]; [0]
+Cc1cc(CNc2nccc3ccccc23)on1; [None]; [None]; [0]
+Cc1cc(CNCc2ccc(C(=O)[O-])cc2)on1; [None]; [None]; [0]
+Cc1cc(CNCc2ccc(C[NH3+])cc2)on1; [None]; [None]; [0]
+Cc1cc(CNCc2ccc(O)cc2)on1; [None]; [None]; [0]
+Cc1cc(CNc2ncc(Br)cn2)on1; [None]; [None]; [0]
+Cc1cc(CNc2ncc3cccn3n2)on1; [None]; [None]; [0]
+Cc1cc(CNc2cc3ccccn3n2)on1; [None]; [None]; [0]
+Cc1cc(CNc2ccc3c(c2)CC(C)(C)O3)on1; [None]; [None]; [0]
+Cc1cc(CNc2ncc(Cl)cn2)on1; [None]; [None]; [0]
+Cc1cc(CNc2ncnc3c(C)csc23)on1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(F)c3nc(C)[nH]c3c2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2[nH]cnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
+CCCn1cnc(Nc2n[nH]c3ccccc23)n1; [None]; [None]; [0]
+CCCn1cnc(-c2n[nH]c3c(Cl)cccc23)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(OC)c2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(C(F)F)n[nH]2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2c(C)ccc(O)c2C)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc3cc(OC)ccc3c2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccsc2CC)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(F)c(C)n2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2c(N)cnn2C)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cc(O)n3nccc3n2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cccc(COC)c2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2cn[nH]c2-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(OC)cn2)n1; [None]; [None]; [0]
+CCCn1cnc(-c2ccc(OC)nc2)n1; [None]; [None]; [0]
+CSc1nc(-c2cccc(O)c2)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2n[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2ccc3c(c2)Cc2c[nH]nc2-3)c[nH]1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c[nH]c(SC)n2)cc1; [None]; [None]; [0]
+CSc1nc(-c2nn(C)c3ccccc23)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2cc(F)c3nc(C)[nH]c3c2)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2cc(F)cc(Cl)c2)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2cn[nH]c2Cl)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2c[nH]c3cnccc23)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2n[nH]c3c(Cl)cccc23)c[nH]1; [None]; [None]; [0]
+CSc1nc(Nc2n[nH]c3ccccc23)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2[nH]cnc2-c2ccc(F)cc2)c[nH]1; [None]; [None]; [0]
+COc1cccc(-c2c[nH]c(SC)n2)c1; [None]; [None]; [0]
+CSc1nc(-c2cc(C(F)F)n[nH]2)c[nH]1; [None]; [None]; [0]
+COc1ccc2cc(-c3c[nH]c(SC)n3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1c[nH]c(SC)n1; [None]; [None]; [0]
+CSc1nc(-c2c(C)ccc(O)c2C)c[nH]1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c(SC)n2)cn1; [None]; [None]; [0]
+CSc1nc(-c2cc(O)n3nccc3n2)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2c(N)cnn2C)c[nH]1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c(SC)n2)nc1; [None]; [None]; [0]
+COCc1cccc(-c2c[nH]c(SC)n2)c1; [None]; [None]; [0]
+CSc1nc(-c2ccc(F)c(C)n2)c[nH]1; [None]; [None]; [0]
+CSc1nc(-c2cn[nH]c2-c2ccc(Cl)cc2)c[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cccc(O)c1; [None]; [None]; [0]
+CC(C)c1oncc1-c1ccc2c(c1)Cc1c[nH]nc1-2; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnoc2C(C)C)cc1; [None]; [None]; [0]
+CC(C)c1oncc1-c1n[nH]c2ccccc12; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(F)cc(Cl)c1; [None]; [None]; [0]
+CC(C)c1oncc1-c1nn(C)c2ccccc12; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnoc3C(C)C)cc2[nH]1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cn[nH]c1Cl; [None]; [None]; [0]
+CC(C)c1oncc1-c1n[nH]c2c(Cl)cccc12; [None]; [None]; [0]
+CC(C)c1oncc1-c1c[nH]c2cnccc12; [None]; [None]; [0]
+CC(C)c1oncc1-c1[nH]cnc1-c1ccc(F)cc1; [None]; [None]; [0]
+COc1cccc(-c2cnoc2C(C)C)c1; [None]; [None]; [0]
+CC(C)c1oncc1Nc1n[nH]c2ccccc12; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(C(F)F)n[nH]1; [None]; [None]; [0]
+COc1ccc2cc(-c3cnoc3C(C)C)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cnoc1C(C)C; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cnoc1C(C)C; [None]; [None]; [0]
+CC(C)c1oncc1-c1c(N)cnn1C; [None]; [None]; [0]
+CC(C)c1oncc1-c1cc(O)n2nccc2n1; [None]; [None]; [0]
+COCc1cccc(-c2cnoc2C(C)C)c1; [None]; [None]; [0]
+Cc1nc(-c2cnoc2C(C)C)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2cnoc2C(C)C)cn1; [None]; [None]; [0]
+COc1ccc(-c2cnoc2C(C)C)nc1; [None]; [None]; [0]
+Nc1nc(-c2ncc3ccccc3n2)cs1; [None]; [None]; [0]
+CC(C)c1oncc1-c1cn[nH]c1-c1ccc(Cl)cc1; [None]; [None]; [0]
+Cc1ccc2ncn(-c3csc(N)n3)c2c1; [None]; [None]; [0]
+Nc1nc(-c2nccc3ccccc23)cs1; [None]; [None]; [0]
+N#Cc1ccc(O)c(-c2csc(N)n2)c1; [None]; [None]; [0]
+Cc1cc(-c2csc(N)n2)nc(N)n1; [None]; [None]; [0]
+Nc1nc(-c2cccc(C3CCNCC3)c2)cs1; [None]; [None]; [0]
+Nc1nc(-c2ncc(Br)cn2)cs1; [None]; [None]; [0]
+Nc1nc(-c2ncc3cccn3n2)cs1; [None]; [None]; [0]
+CC1(C)Cc2cc(-c3csc(N)n3)ccc2O1; [None]; [None]; [0]
+Nc1nc(-c2cc3ccccn3n2)cs1; [None]; [None]; [0]
+Nc1nc(-c2cccc3ccc(O)cc23)cs1; [None]; [None]; [0]
+Cc1csc2c(-c3csc(N)n3)ncnc12; [None]; [None]; [0]
+Nc1nc(-c2ncc(Cl)cn2)cs1; [None]; [None]; [0]
+Nc1nc(-c2ncc3sccc3n2)cs1; [None]; [None]; [0]
+CS(=O)(=O)CCNCc1cc(C#N)ccc1O; [None]; [None]; [0]
+Nc1nc(-c2ccc(OC(F)(F)F)cc2)cs1; [None]; [None]; [0]
+CS(=O)(=O)CCNCNc1ncccn1; [None]; [None]; [0]
+CS(=O)(=O)CCNCc1cccc(C2CCNCC2)c1; [None]; [None]; [0]
+Cc1cc(CNCCS(C)(=O)=O)nc(N)n1; [None]; [None]; [0]
+CS(=O)(=O)CCNCc1cccc2ccc(O)cc12; [None]; [None]; [0]
+c1ccc2c(-c3cnn4ccccc34)n[nH]c2c1; [None]; [None]; [0]
+Oc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnn3ccccc23)cc1; [None]; [None]; [0]
+c1ccn2ncc(-c3ccc4c(c3)Cc3c[nH]nc3-4)c2c1; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnn4ccccc34)cc2[nH]1; [None]; [None]; [0]
+Cn1nc(-c2cnn3ccccc23)c2ccccc21; [None]; [None]; [0]
+Clc1[nH]ncc1-c1cnn2ccccc12; [None]; [None]; [0]
+c1ccn2ncc(-c3c[nH]c4cnccc34)c2c1; [None]; [None]; [0]
+Clc1cccc2c(-c3cnn4ccccc34)n[nH]c12; [None]; [None]; [0]
+c1ccc2c(Nc3cnn4ccccc34)n[nH]c2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2cnn3ccccc23)cc1; [None]; [None]; [0]
+COc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
+CCc1sccc1-c1cnn2ccccc12; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cnn2ccccc12; [None]; [None]; [0]
+COc1ccc2cc(-c3cnn4ccccc34)ccc2c1; [None]; [None]; [0]
+FC(F)c1cc(-c2cnn3ccccc23)[nH]n1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cnn2ccccc12; [None]; [None]; [0]
+Cc1cc(CNc2ncc3sccc3n2)on1; [None]; [None]; [0]
+Cc1cc(CNCCc2c[nH]c3ccccc23)on1; [None]; [None]; [0]
+Cc1cc(CNc2ccc(OC(F)(F)F)cc2)on1; [None]; [None]; [0]
+Cc1cc(CNc2cn(C)c3ccccc23)on1; [None]; [None]; [0]
+Fc1ccccc1Oc1ncc2ccccc2n1; [None]; [None]; [0]
+Fc1ccccc1Oc1cnc2cccnn12; [None]; [None]; [0]
+Fc1ccccc1Oc1nccc2ccccc12; [None]; [None]; [0]
+O=C([O-])c1ccc(COc2ccccc2F)cc1; [None]; [None]; [0]
+[NH3+]Cc1ccc(COc2ccccc2F)cc1; [None]; [None]; [0]
+Oc1ccc(COc2ccccc2F)cc1; [None]; [None]; [0]
+Fc1ccccc1Oc1ncc(Br)cn1; [None]; [None]; [0]
+Fc1ccccc1Oc1ncc2cccn2n1; [None]; [None]; [0]
+Fc1ccccc1Oc1cc2ccccn2n1; [None]; [None]; [0]
+CC1(C)Cc2cc(Oc3ccccc3F)ccc2O1; [None]; [None]; [0]
+Fc1ccccc1Oc1ncc(Cl)cn1; [None]; [None]; [0]
+Cc1csc2c(Oc3ccccc3F)ncnc12; [None]; [None]; [0]
+Fc1ccccc1Oc1ncc2sccc2n1; [None]; [None]; [0]
+Fc1ccccc1OCCc1c[nH]c2ccccc12; [None]; [None]; [0]
+Fc1ccccc1Oc1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+Cn1cc(Oc2ccccc2F)c2ccccc21; [None]; [None]; [0]
+C[C@H](Nc1ncc2ccccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1cnc2cccnn12)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1nccc2ccccc12)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](NCc1ccc(C(=O)[O-])cc1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](NCc1ccc(O)cc1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](NCc1ccc(C[NH3+])cc1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1ncc(Br)cn1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1ncc2cccn2n1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1cc2ccccn2n1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1ccc2c(c1)CC(C)(C)O2)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1ncc(Cl)cn1)c1ccc(F)cc1; [None]; [None]; [0]
+Cc1csc2c(N[C@@H](C)c3ccc(F)cc3)ncnc12; [None]; [None]; [0]
+C[C@H](Nc1ncc2sccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](NCCc1c[nH]c2ccccc12)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1ccc(OC(F)(F)F)cc1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1cn(C)c2ccccc12)c1ccc(F)cc1; [None]; [None]; [0]
+CC(C)(Nc1cccc(O)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 CC(C)(Nc1n[nH]c2ccccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 CC(C)(Nc1ccc2c(c1)Cc1c[nH]nc1-2)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(NC(C)(C)C(=O)NCC(F)(F)F)cc1; [None]; [None]; [0]
+CC(C)(Nc1cc(F)cc(Cl)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 Cn1nc(NC(C)(C)C(=O)NCC(F)(F)F)c2ccccc21; [None]; [None]; [0]
 CC(C)(Nc1cn[nH]c1Cl)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 CC(C)(Nc1n[nH]c2c(Cl)cccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CC(C)(Nc1[nH]cnc1-c1ccc(F)cc1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 COc1cccc(NC(C)(C)C(=O)NCC(F)(F)F)c1; [None]; [None]; [0]
-CC(C)(Nc1ccc2ccccc2c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 COc1ccc2cc(NC(C)(C)C(=O)NCC(F)(F)F)ccc2c1; [None]; [None]; [0]
 CCc1sccc1NC(C)(C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1NC(C)(C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 CC(C)(Nc1cc(O)n2nccc2n1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cn1ncc(N)c1NC(C)(C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 Cc1nc(NC(C)(C)C(=O)NCC(F)(F)F)ccc1F; [None]; [None]; [0]
 COCc1cccc(NC(C)(C)C(=O)NCC(F)(F)F)c1; [None]; [None]; [0]
 COc1ccc(NC(C)(C)C(=O)NCC(F)(F)F)cn1; [None]; [None]; [0]
 COc1ccc(NC(C)(C)C(=O)NCC(F)(F)F)nc1; [None]; [None]; [0]
 CC(C)(Nc1cccc(C(F)(F)F)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
 CC(C)(Nc1cn[nH]c1-c1ccc(Cl)cc1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CN(c1cccc(O)c1)C1CCCCC1; [None]; [None]; [0]
+CN(c1n[nH]c2ccccc12)C1CCCCC1; [None]; [None]; [0]
 CN(c1ccc2c(c1)Cc1c[nH]nc1-2)C1CCCCC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(N(C)C2CCCCC2)cc1; [None]; [None]; [0]
+CN(c1cc(F)cc(Cl)c1)C1CCCCC1; [None]; [None]; [0]
+CN(c1nn(C)c2ccccc12)C1CCCCC1; [None]; [None]; [0]
+CN(c1cn[nH]c1Cl)C1CCCCC1; [None]; [None]; [0]
+CN(c1n[nH]c2c(Cl)cccc12)C1CCCCC1; [None]; [None]; [0]
+CN(c1[nH]cnc1-c1ccc(F)cc1)C1CCCCC1; [None]; [None]; [0]
+COc1cccc(N(C)C2CCCCC2)c1; [None]; [None]; [0]
+COc1ccc2cc(N(C)C3CCCCC3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1N(C)C1CCCCC1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1N(C)C1CCCCC1; [None]; [None]; [0]
 CN(c1cc(O)n2nccc2n1)C1CCCCC1; [None]; [None]; [0]
-Oc1ncccc1-c1ccc2c(c1)Cc1c[nH]nc1-2; [None]; [None]; [0]
-Oc1ncccc1-c1cc(O)n2nccc2n1; [None]; [None]; [0]
+CN(c1c(N)cnn1C)C1CCCCC1; [None]; [None]; [0]
+Cc1nc(N(C)C2CCCCC2)ccc1F; [None]; [None]; [0]
+COCc1cccc(N(C)C2CCCCC2)c1; [None]; [None]; [0]
+COc1ccc(N(C)C2CCCCC2)cn1; [None]; [None]; [0]
+CN(c1cccc(C(F)(F)F)c1)C1CCCCC1; [None]; [None]; [0]
+COc1ccc(N(C)C2CCCCC2)nc1; [None]; [None]; [0]
+CN(c1cn[nH]c1-c1ccc(Cl)cc1)C1CCCCC1; [None]; [None]; [0]
+Oc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3n[nH]c4ccccc34)[nH]c2c1; [None]; [None]; [0]
 Oc1ccc2nc(-c3ccc4c(c3)Cc3c[nH]nc3-4)[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3ccc(O)cc3[nH]2)cc1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cc(F)cc(Cl)c3)[nH]c2c1; [None]; [None]; [0]
+Cn1nc(-c2nc3ccc(O)cc3[nH]2)c2ccccc21; [None]; [None]; [0]
+Oc1ccc2nc(-c3cn[nH]c3Cl)[nH]c2c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3nc4ccc(O)cc4[nH]3)cc2[nH]1; [None]; [None]; [0]
+Oc1ccc2nc(-c3c[nH]c4cnccc34)[nH]c2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3n[nH]c4c(Cl)cccc34)[nH]c2c1; [None]; [None]; [0]
+Oc1ccc2nc(Nc3n[nH]c4ccccc34)[nH]c2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3[nH]cnc3-c3ccc(F)cc3)[nH]c2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cc(C(F)F)n[nH]3)[nH]c2c1; [None]; [None]; [0]
+COc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3nc4ccc(O)cc4[nH]3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
 Oc1ccc2nc(-c3cc(O)n4nccc4n3)[nH]c2c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+Cc1nc(-c2nc3ccc(O)cc3[nH]2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc(-c2nc3ccc(O)cc3[nH]2)cn1; [None]; [None]; [0]
+COc1ccc(-c2nc3ccc(O)cc3[nH]2)nc1; [None]; [None]; [0]
+Oc1cc(-c2cnn3ccccc23)nc2ccnn12; [None]; [None]; [0]
+Cc1nc(-c2cnn3ccccc23)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2cnn3ccccc23)cn1; [None]; [None]; [0]
+COCc1cccc(-c2cnn3ccccc23)c1; [None]; [None]; [0]
+COc1ccc(-c2cnn3ccccc23)nc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2cnn3ccccc23)cc1; [None]; [None]; [0]
+Oc1cccc(NCc2ccccc2)c1; [None]; [None]; [0]
+c1ccc(CNc2n[nH]c3ccccc23)cc1; [None]; [None]; [0]
+c1ccc(CNc2ccc3c(c2)Cc2c[nH]nc2-3)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NCc2ccccc2)cc1; [None]; [None]; [0]
+Cn1nc(NCc2ccccc2)c2ccccc21; [None]; [None]; [0]
+Fc1cc(Cl)cc(NCc2ccccc2)c1; [None]; [None]; [0]
+Clc1[nH]ncc1NCc1ccccc1; [None]; [None]; [0]
+Clc1cccc2c(NCc3ccccc3)n[nH]c12; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2NCc2ccccc2)cc1; [None]; [None]; [0]
+COc1cccc(NCc2ccccc2)c1; [None]; [None]; [0]
+COc1ccc2cc(NCc3ccccc3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1NCc1ccccc1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1NCc1ccccc1; [None]; [None]; [0]
+Cn1ncc(N)c1NCc1ccccc1; [None]; [None]; [0]
+Oc1cc(NCc2ccccc2)nc2ccnn12; [None]; [None]; [0]
+COc1ccc(NCc2ccccc2)cn1; [None]; [None]; [0]
+COCc1cccc(NCc2ccccc2)c1; [None]; [None]; [0]
+Cc1nc(NCc2ccccc2)ccc1F; [None]; [None]; [0]
+COc1ccc(NCc2ccccc2)nc1; [None]; [None]; [0]
+FC(F)(F)c1cccc(NCc2ccccc2)c1; [None]; [None]; [0]
+OC[C@@H](Nc1cccc(O)c1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1n[nH]c2ccccc12)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2NCc2ccccc2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(N[C@H](CO)c2ccc(F)c(Cl)c2)cc1; [None]; [None]; [0]
+OC[C@@H](Nc1ccc2c(c1)Cc1c[nH]nc1-2)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1cc(F)cc(Cl)c1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1n[nH]c2c(Cl)cccc12)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1[nH]cnc1-c1ccc(F)cc1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1cn[nH]c1Cl)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+Cn1nc(N[C@H](CO)c2ccc(F)c(Cl)c2)c2ccccc21; [None]; [None]; [0]
+COc1cccc(N[C@H](CO)c2ccc(F)c(Cl)c2)c1; [None]; [None]; [0]
+CCc1sccc1N[C@H](CO)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+COc1ccc2cc(N[C@H](CO)c3ccc(F)c(Cl)c3)ccc2c1; [None]; [None]; [0]
+Cn1ncc(N)c1N[C@H](CO)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1N[C@H](CO)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1cc(O)n2nccc2n1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+Cc1nc(N[C@H](CO)c2ccc(F)c(Cl)c2)ccc1F; [None]; [None]; [0]
+OC[C@@H](Nc1cccc(C(F)(F)F)c1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+COc1ccc(N[C@H](CO)c2ccc(F)c(Cl)c2)cn1; [None]; [None]; [0]
+COc1ccc(N[C@H](CO)c2ccc(F)c(Cl)c2)nc1; [None]; [None]; [0]
+COCc1cccc(N[C@H](CO)c2ccc(F)c(Cl)c2)c1; [None]; [None]; [0]
+OC[C@@H](Nc1cccc(O)c1)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1cn[nH]c1-c1ccc(Cl)cc1)c1ccc(F)c(Cl)c1; [None]; [None]; [0]
+OC[C@@H](Nc1n[nH]c2ccccc12)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1cc(F)cc(Cl)c1)c1ccccc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(N[C@H](CO)c2ccccc2)cc1; [None]; [None]; [0]
+OC[C@@H](Nc1cn[nH]c1Cl)c1ccccc1; [None]; [None]; [0]
+Cn1nc(N[C@H](CO)c2ccccc2)c2ccccc21; [None]; [None]; [0]
+OC[C@@H](Nc1ccc2c(c1)Cc1c[nH]nc1-2)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1[nH]cnc1-c1ccc(F)cc1)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1n[nH]c2c(Cl)cccc12)c1ccccc1; [None]; [None]; [0]
+COc1cccc(N[C@H](CO)c2ccccc2)c1; [None]; [None]; [0]
+COc1ccc2cc(N[C@H](CO)c3ccccc3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1N[C@H](CO)c1ccccc1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1N[C@H](CO)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1cc(O)n2nccc2n1)c1ccccc1; [None]; [None]; [0]
+Cn1ncc(N)c1N[C@H](CO)c1ccccc1; [None]; [None]; [0]
+COCc1cccc(N[C@H](CO)c2ccccc2)c1; [None]; [None]; [0]
+COc1ccc(N[C@H](CO)c2ccccc2)nc1; [None]; [None]; [0]
+Cc1nc(N[C@H](CO)c2ccccc2)ccc1F; [None]; [None]; [0]
+COc1ccc(N[C@H](CO)c2ccccc2)cn1; [None]; [None]; [0]
+C[C@H](Nc1n[nH]c2ccccc12)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1cn[nH]c1-c1ccc(Cl)cc1)c1ccccc1; [None]; [None]; [0]
+OC[C@@H](Nc1cccc(C(F)(F)F)c1)c1ccccc1; [None]; [None]; [0]
+C[C@@H](c1ccccc1)c1ccc(CO)cc1; [None]; [None]; [0]
+c1cncc(CCNc2ncc3ccccc3n2)c1; [None]; [None]; [0]
+c1cncc(CCNc2cnc3cccnn23)c1; [None]; [None]; [0]
+[NH3+]Cc1ccc(CNCCc2cccnc2)cc1; [None]; [None]; [0]
+c1cncc(CCNc2nccc3ccccc23)c1; [None]; [None]; [0]
+Oc1ccc(CNCCc2cccnc2)cc1; [None]; [None]; [0]
+O=C([O-])c1ccc(CNCCc2cccnc2)cc1; [None]; [None]; [0]
+Brc1cnc(NCCc2cccnc2)nc1; [None]; [None]; [0]
+c1cncc(CCNc2ncc3cccn3n2)c1; [None]; [None]; [0]
+c1cncc(CCNc2cc3ccccn3n2)c1; [None]; [None]; [0]
+Cc1csc2c(NCCc3cccnc3)ncnc12; [None]; [None]; [0]
+Clc1cnc(NCCc2cccnc2)nc1; [None]; [None]; [0]
+CC1(C)Cc2cc(NCCc3cccnc3)ccc2O1; [None]; [None]; [0]
+c1cncc(CCNc2ncc3sccc3n2)c1; [None]; [None]; [0]
+c1cncc(CCNCCc2c[nH]c3ccccc23)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(NCCc2cccnc2)cc1; [None]; [None]; [0]
+Cn1cc(NCCc2cccnc2)c2ccccc21; [None]; [None]; [0]
+Cc1cc(CNc2ncc3ccccc3n2)on1; [None]; [None]; [0]
+Cc1cc(CNc2nccc3ccccc23)on1; [None]; [None]; [0]
+Cc1cc(CNCc2ccc(C(=O)[O-])cc2)on1; [None]; [None]; [0]
+Cc1cc(CNc2cnc3cccnn23)on1; [None]; [None]; [0]
+Cc1cc(CNCc2ccc(O)cc2)on1; [None]; [None]; [0]
+Cc1cc(CNCc2ccc(C[NH3+])cc2)on1; [None]; [None]; [0]
+Cc1cc(CNc2ncc(Br)cn2)on1; [None]; [None]; [0]
+Cc1cc(CNc2ncc3cccn3n2)on1; [None]; [None]; [0]
+Cc1cc(CNc2ccc3c(c2)CC(C)(C)O3)on1; [None]; [None]; [0]
+Cc1cc(CNc2cc3ccccn3n2)on1; [None]; [None]; [0]
+Cc1cc(CNc2ncc(Cl)cn2)on1; [None]; [None]; [0]
+Cc1cc(CNCCc2c[nH]c3ccccc23)on1; [None]; [None]; [0]
+Cc1cc(CNc2ncnc3c(C)csc23)on1; [None]; [None]; [0]
+Cc1cc(CNc2ncc3sccc3n2)on1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cn[nH]c3-c3ccc(Cl)cc3)[nH]c2c1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cccc(O)c2)n1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2n[nH]c3ccccc23)n1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2ccc3c(c2)Cc2c[nH]nc2-3)n1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2ccn(CC[NH3+])n2)cc1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cc(F)cc(Cl)c2)n1; [None]; [None]; [0]
 Cn1nc(-c2ccn(CC[NH3+])n2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccn(CC[NH3+])n3)cc2[nH]1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cn[nH]c2Cl)n1; [None]; [None]; [0]
-[NH3+]CCn1ccc(-c2n[nH]c3c(Cl)cccc23)n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
 [NH3+]CCn1ccc(Nc2n[nH]c3ccccc23)n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2n[nH]c3c(Cl)cccc23)n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2[nH]cnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
 COc1cccc(-c2ccn(CC[NH3+])n2)c1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cc(C(F)F)n[nH]2)n1; [None]; [None]; [0]
 COc1ccc2cc(-c3ccn(CC[NH3+])n3)ccc2c1; [None]; [None]; [0]
 CCc1sccc1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cc(O)n3nccc3n2)n1; [None]; [None]; [0]
 Cn1ncc(N)c1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
 Cc1nc(-c2ccn(CC[NH3+])n2)ccc1F; [None]; [None]; [0]
@@ -63307,80 +47475,1112 @@ COc1ccc(-c2ccn(CC[NH3+])n2)nc1; [None]; [None]; [0]
 [NH3+]CCn1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
 [NH3+][C@@H]1CC[C@@H](CNc2ncc3ccccc3n2)CC1; [None]; [None]; [0]
 [NH3+][C@@H]1CC[C@@H](CNc2cnc3cccnn23)CC1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](CNc2cccc(C3CCNCC3)c2)CC1; [None]; [None]; [0]
-[NH3+][C@@H]1CC[C@@H](CNc2ncc(Br)cn2)CC1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2nccc3ccccc23)CC1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNCc2ccc(C(=O)[O-])cc2)CC1; [None]; [None]; [0]
+[NH3+]Cc1ccc(CNC[C@@H]2CC[C@@H]([NH3+])CC2)cc1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNCc2ccc(O)cc2)CC1; [None]; [None]; [0]
 [NH3+][C@@H]1CC[C@@H](CNc2ncc3cccn3n2)CC1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2ncc(Br)cn2)CC1; [None]; [None]; [0]
 [NH3+][C@@H]1CC[C@@H](CNc2cc3ccccn3n2)CC1; [None]; [None]; [0]
 CC1(C)Cc2cc(NC[C@@H]3CC[C@@H]([NH3+])CC3)ccc2O1; [None]; [None]; [0]
 [NH3+][C@@H]1CC[C@@H](CNc2ncc(Cl)cn2)CC1; [None]; [None]; [0]
 Cc1csc2c(NC[C@@H]3CC[C@@H]([NH3+])CC3)ncnc12; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNCCc2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
 [NH3+][C@@H]1CC[C@@H](CNc2ncc3sccc3n2)CC1; [None]; [None]; [0]
 [NH3+][C@@H]1CC[C@@H](CNc2ccc(OC(F)(F)F)cc2)CC1; [None]; [None]; [0]
 Cn1cc(NC[C@@H]2CC[C@@H]([NH3+])CC2)c2ccccc21; [None]; [None]; [0]
-Clc1c(Cc2ncc3ccccc3n2)ccc2nc[nH]c12; [None]; [None]; [0]
-Cc1ccc2ncn(Cc3ccc4nc[nH]c4c3Cl)c2c1; [None]; [None]; [0]
-Clc1c(Cc2cnc3cccnn23)ccc2nc[nH]c12; [None]; [None]; [0]
-O=c1c2ccccc2cnn1Cc1ccc2nc[nH]c2c1Cl; [None]; [None]; [0]
+N#Cc1ccc(O)c(Cc2ccc3nc[nH]c3c2Cl)c1; [None]; [None]; [0]
+Clc1c(CNc2ncccn2)ccc2nc[nH]c12; [None]; [None]; [0]
+Cc1cc(Cc2ccc3nc[nH]c3c2Cl)nc(N)n1; [None]; [None]; [0]
 Clc1c(Cc2cccc(C3CCNCC3)c2)ccc2nc[nH]c12; [None]; [None]; [0]
-Clc1c(Cc2ncc(Br)cn2)ccc2nc[nH]c12; [None]; [None]; [0]
-Clc1c(Cc2ncc3cccn3n2)ccc2nc[nH]c12; [None]; [None]; [0]
-Clc1c(Cc2cc3ccccn3n2)ccc2nc[nH]c12; [None]; [None]; [0]
-CC1(C)Cc2cc(Cc3ccc4nc[nH]c4c3Cl)ccc2O1; [None]; [None]; [0]
-Clc1cnc(Cc2ccc3nc[nH]c3c2Cl)nc1; [None]; [None]; [0]
-Cc1csc2c(Cc3ccc4nc[nH]c4c3Cl)ncnc12; [None]; [None]; [0]
-Clc1c(Cc2ncc3sccc3n2)ccc2nc[nH]c12; [None]; [None]; [0]
-Cn1cc(Cc2ccc3nc[nH]c3c2Cl)c2ccccc21; [None]; [None]; [0]
-FC(F)(F)Oc1ccc(Cc2ccc3nc[nH]c3c2Cl)cc1; [None]; [None]; [0]
+Oc1ccc2cccc(Cc3ccc4nc[nH]c4c3Cl)c2c1; [None]; [None]; [0]
+c1ccc2c(-c3ccc4c(c3)OCO4)n[nH]c2c1; [None]; [None]; [0]
 c1cc2c(cc1-c1ccc3c(c1)OCO3)Cc1c[nH]nc1-2; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+Cn1nc(-c2ccc3c(c2)OCO3)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc4c(c3)OCO4)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+Clc1cccc2c(-c3ccc4c(c3)OCO4)n[nH]c12; [None]; [None]; [0]
+c1ccc2c(Nc3ccc4c(c3)OCO4)n[nH]c2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
+COc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+FC(F)c1cc(-c2ccc3c(c2)OCO3)[nH]n1; [None]; [None]; [0]
+COc1ccc2cc(-c3ccc4c(c3)OCO4)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+OCc1ccc(-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
 Oc1cc(-c2ccc3c(c2)OCO3)nc2ccnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+Cc1nc(-c2ccc3c(c2)OCO3)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(c2)OCO3)cn1; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(c2)OCO3)nc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cccc(O)c2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2n[nH]c3ccccc23)c1; [None]; [None]; [0]
 COc1cccc(CC(=O)Nc2ccc3c(c2)Cc2c[nH]nc2-3)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)Cc2cccc(OC)c2)cc1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cc(F)cc(Cl)c2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2nn(C)c3ccccc23)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cn[nH]c2Cl)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2n[nH]c3c(Cl)cccc23)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cccc(OC)c2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2ccc3cc(OC)ccc3c2)c1; [None]; [None]; [0]
+CCc1sccc1NC(=O)Cc1cccc(OC)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2c(C)ccc(O)c2C)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cc(O)n3nccc3n2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2c(N)cnn2C)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2ccc(F)c(C)n2)c1; [None]; [None]; [0]
+COCc1cccc(NC(=O)Cc2cccc(OC)c2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2ccc(OC)nc2)c1; [None]; [None]; [0]
+COc1ccc(NC(=O)Cc2cccc(OC)c2)nc1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cccc(O)c2)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2n[nH]c3ccccc23)c1; [None]; [None]; [0]
 NC(=O)Cc1cccc(-c2ccc3c(c2)Cc2c[nH]nc2-3)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc(CC(N)=O)c2)cc1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cc(F)cc(Cl)c2)c1; [None]; [None]; [0]
+Cn1nc(-c2cccc(CC(N)=O)c2)c2ccccc21; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2n[nH]c3c(Cl)cccc23)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+COc1cccc(-c2cccc(CC(N)=O)c2)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3cccc(CC(N)=O)c3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cccc(CC(N)=O)c1; [None]; [None]; [0]
+Cc1cc(CNc2cn(C)c3ccccc23)on1; [None]; [None]; [0]
+Cc1cc(CNc2ccc(OC(F)(F)F)cc2)on1; [None]; [None]; [0]
+Fc1ccccc1Oc1ncc2ccccc2n1; [None]; [None]; [0]
+Fc1ccccc1Oc1cnc2cccnn12; [None]; [None]; [0]
+Fc1ccccc1Oc1nccc2ccccc12; [None]; [None]; [0]
+[NH3+]Cc1ccc(COc2ccccc2F)cc1; [None]; [None]; [0]
+Oc1ccc(COc2ccccc2F)cc1; [None]; [None]; [0]
+O=C([O-])c1ccc(COc2ccccc2F)cc1; [None]; [None]; [0]
+Fc1ccccc1Oc1ncc(Br)cn1; [None]; [None]; [0]
+Fc1ccccc1Oc1ncc2cccn2n1; [None]; [None]; [0]
+CC1(C)Cc2cc(Oc3ccccc3F)ccc2O1; [None]; [None]; [0]
+Fc1ccccc1Oc1cc2ccccn2n1; [None]; [None]; [0]
+Cc1csc2c(Oc3ccccc3F)ncnc12; [None]; [None]; [0]
+Fc1ccccc1Oc1ncc(Cl)cn1; [None]; [None]; [0]
+C[C@H](Nc1ncc2ccccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
+Fc1ccccc1Oc1ncc2sccc2n1; [None]; [None]; [0]
+Fc1ccccc1Oc1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+Cn1cc(Oc2ccccc2F)c2ccccc21; [None]; [None]; [0]
+Fc1ccccc1OCCc1c[nH]c2ccccc12; [None]; [None]; [0]
+C[C@H](Nc1cnc2cccnn12)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1nccc2ccccc12)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](NCc1ccc(C[NH3+])cc1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1ncc(Br)cn1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](NCc1ccc(C(=O)[O-])cc1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](NCc1ccc(O)cc1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1ncc2cccn2n1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1cc2ccccn2n1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1ccc2c(c1)CC(C)(C)O2)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1ncc2sccc2n1)c1ccc(F)cc1; [None]; [None]; [0]
+Cc1csc2c(N[C@@H](C)c3ccc(F)cc3)ncnc12; [None]; [None]; [0]
+C[C@H](Nc1ncc(Cl)cn1)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](NCCc1c[nH]c2ccccc12)c1ccc(F)cc1; [None]; [None]; [0]
+C[C@H](Nc1ccc(OC(F)(F)F)cc1)c1ccc(F)cc1; [None]; [None]; [0]
+CC(C)(Nc1ccc2c(c1)Cc1c[nH]nc1-2)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+C[C@H](Nc1cn(C)c2ccccc12)c1ccc(F)cc1; [None]; [None]; [0]
+CC(C)(Nc1cccc(O)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(C)(C)C(=O)NCC(F)(F)F)cc1; [None]; [None]; [0]
+CC(C)(Nc1n[nH]c2ccccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CC(C)(Nc1cc(F)cc(Cl)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CC(C)(Nc1[nH]cnc1-c1ccc(F)cc1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CC(C)(Nc1cn[nH]c1Cl)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cn1nc(NC(C)(C)C(=O)NCC(F)(F)F)c2ccccc21; [None]; [None]; [0]
+COc1cccc(NC(C)(C)C(=O)NCC(F)(F)F)c1; [None]; [None]; [0]
+CC(C)(Nc1n[nH]c2c(Cl)cccc12)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+COc1ccc2cc(NC(C)(C)C(=O)NCC(F)(F)F)ccc2c1; [None]; [None]; [0]
+CC(C)(Nc1cc(O)n2nccc2n1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CCc1sccc1NC(C)(C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1NC(C)(C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+Cc1nc(NC(C)(C)C(=O)NCC(F)(F)F)ccc1F; [None]; [None]; [0]
+Cn1ncc(N)c1NC(C)(C)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+COCc1cccc(NC(C)(C)C(=O)NCC(F)(F)F)c1; [None]; [None]; [0]
+CC(C)(Nc1cccc(C(F)(F)F)c1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+CC(C)(Nc1cn[nH]c1-c1ccc(Cl)cc1)C(=O)NCC(F)(F)F; [None]; [None]; [0]
+COc1ccc(NC(C)(C)C(=O)NCC(F)(F)F)nc1; [None]; [None]; [0]
+CN(c1cccc(O)c1)C1CCCCC1; [None]; [None]; [0]
+COc1ccc(NC(C)(C)C(=O)NCC(F)(F)F)cn1; [None]; [None]; [0]
+CN(c1n[nH]c2ccccc12)C1CCCCC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(N(C)C2CCCCC2)cc1; [None]; [None]; [0]
+CN(c1ccc2c(c1)Cc1c[nH]nc1-2)C1CCCCC1; [None]; [None]; [0]
+CN(c1cc(F)cc(Cl)c1)C1CCCCC1; [None]; [None]; [0]
+CN(c1cn[nH]c1Cl)C1CCCCC1; [None]; [None]; [0]
+CN(c1nn(C)c2ccccc12)C1CCCCC1; [None]; [None]; [0]
+CN(c1n[nH]c2c(Cl)cccc12)C1CCCCC1; [None]; [None]; [0]
+COc1ccc2cc(N(C)C3CCCCC3)ccc2c1; [None]; [None]; [0]
+CN(c1[nH]cnc1-c1ccc(F)cc1)C1CCCCC1; [None]; [None]; [0]
+COc1cccc(N(C)C2CCCCC2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1N(C)C1CCCCC1; [None]; [None]; [0]
+CCc1sccc1N(C)C1CCCCC1; [None]; [None]; [0]
+CN(c1cc(O)n2nccc2n1)C1CCCCC1; [None]; [None]; [0]
+CN(c1c(N)cnn1C)C1CCCCC1; [None]; [None]; [0]
+COc1ccc(N(C)C2CCCCC2)cn1; [None]; [None]; [0]
+COc1ccc(N(C)C2CCCCC2)nc1; [None]; [None]; [0]
+Cc1nc(N(C)C2CCCCC2)ccc1F; [None]; [None]; [0]
+COCc1cccc(N(C)C2CCCCC2)c1; [None]; [None]; [0]
+CN(c1cccc(C(F)(F)F)c1)C1CCCCC1; [None]; [None]; [0]
+Oc1ccc2nc(-c3n[nH]c4ccccc34)[nH]c2c1; [None]; [None]; [0]
+CN(c1cn[nH]c1-c1ccc(Cl)cc1)C1CCCCC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc3ccc(O)cc3[nH]2)cc1; [None]; [None]; [0]
+Oc1ccc2nc(-c3ccc4c(c3)Cc3c[nH]nc3-4)[nH]c2c1; [None]; [None]; [0]
+Oc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cc(F)cc(Cl)c3)[nH]c2c1; [None]; [None]; [0]
+Cn1nc(-c2nc3ccc(O)cc3[nH]2)c2ccccc21; [None]; [None]; [0]
+Oc1ccc2nc(-c3cn[nH]c3Cl)[nH]c2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3n[nH]c4c(Cl)cccc34)[nH]c2c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3nc4ccc(O)cc4[nH]3)cc2[nH]1; [None]; [None]; [0]
+Oc1ccc2nc(-c3c[nH]c4cnccc34)[nH]c2c1; [None]; [None]; [0]
+Oc1ccc2nc(Nc3n[nH]c4ccccc34)[nH]c2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3[nH]cnc3-c3ccc(F)cc3)[nH]c2c1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cc(C(F)F)n[nH]3)[nH]c2c1; [None]; [None]; [0]
+COc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3nc4ccc(O)cc4[nH]3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cc(O)n4nccc4n3)[nH]c2c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1nc2ccc(O)cc2[nH]1; [None]; [None]; [0]
+Cc1nc(-c2nc3ccc(O)cc3[nH]2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2nc3ccc(O)cc3[nH]2)c1; [None]; [None]; [0]
+COc1ccc(-c2nc3ccc(O)cc3[nH]2)cn1; [None]; [None]; [0]
+COc1ccc(-c2nc3ccc(O)cc3[nH]2)nc1; [None]; [None]; [0]
+Oc1ccc2nc(-c3cn[nH]c3-c3ccc(Cl)cc3)[nH]c2c1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2n[nH]c3ccccc23)n1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cccc(CC(N)=O)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cc(O)n3nccc3n2)c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cccc(CC(N)=O)c1; [None]; [None]; [0]
+Cc1nc(-c2cccc(CC(N)=O)c2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2cccc(CC(N)=O)c2)c1; [None]; [None]; [0]
+COc1ccc(-c2cccc(CC(N)=O)c2)cn1; [None]; [None]; [0]
+COc1ccc(-c2cccc(CC(N)=O)c2)nc1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc3ccccc3n2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cnc3cccnn23)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2nccc3ccccc23)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2ccc(C(=O)[O-])cc2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2ccc(C[NH3+])cc2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2ccc(O)cc2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc3cccn3n2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc3ccccn3n2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc3c(c2)CC(C)(C)O3)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc(Cl)cn2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncnc3c(C)csc23)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc3sccc3n2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCc2c[nH]c3ccccc23)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(OC(F)(F)F)cc2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cn(C)c3ccccc23)cc1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc(O)c2)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2n[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc3c(c2)Cc2c[nH]nc2-3)[nH]1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(NC(C)=O)[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(F)cc(Cl)c2)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2nn(C)c3ccccc23)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(F)c3nc(C)[nH]c3c2)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cn[nH]c2Cl)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c[nH]c3cnccc23)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2n[nH]c3c(Cl)cccc23)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(Nc2n[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2[nH]cnc2-c2ccc(F)cc2)[nH]1; [None]; [None]; [0]
+COc1cccc(-c2cnc(NC(C)=O)[nH]2)c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(C(F)F)n[nH]2)[nH]1; [None]; [None]; [0]
+COc1ccc2cc(-c3cnc(NC(C)=O)[nH]3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cnc(NC(C)=O)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c(C)ccc(O)c2C)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(O)n3nccc3n2)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c(N)cnn2C)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc(F)c(C)n2)[nH]1; [None]; [None]; [0]
+COCc1cccc(-c2cnc(NC(C)=O)[nH]2)c1; [None]; [None]; [0]
+COc1ccc(-c2cnc(NC(C)=O)[nH]2)cn1; [None]; [None]; [0]
+COc1ccc(-c2cnc(NC(C)=O)[nH]2)nc1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cn[nH]c2-c2ccc(Cl)cc2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cccc(O)c2)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(-c2n[nH]c3ccccc23)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(-c2ccc3c(c2)Cc2c[nH]nc2-3)nc2ccccc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc(N)c3ccccc3n2)cc1; [None]; [None]; [0]
+Nc1nc(-c2cc(F)cc(Cl)c2)nc2ccccc12; [None]; [None]; [0]
+Cn1nc(-c2nc(N)c3ccccc3n2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3nc(N)c4ccccc4n3)cc2[nH]1; [None]; [None]; [0]
+Nc1nc(-c2cn[nH]c2Cl)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(-c2c[nH]c3cnccc23)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(-c2n[nH]c3c(Cl)cccc23)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(Nc2n[nH]c3ccccc23)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(-c2[nH]cnc2-c2ccc(F)cc2)nc2ccccc12; [None]; [None]; [0]
+COc1cccc(-c2nc(N)c3ccccc3n2)c1; [None]; [None]; [0]
+Nc1nc(-c2cc(C(F)F)n[nH]2)nc2ccccc12; [None]; [None]; [0]
+COc1ccc2cc(-c3nc(N)c4ccccc4n3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
+Nc1nc(-c2cc(O)n3nccc3n2)nc2ccccc12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
+Cc1nc(-c2nc(N)c3ccccc3n2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2nc(N)c3ccccc3n2)c1; [None]; [None]; [0]
+COc1ccc(-c2nc(N)c3ccccc3n2)cn1; [None]; [None]; [0]
+COc1ccc(-c2nc(N)c3ccccc3n2)nc1; [None]; [None]; [0]
+Nc1nc(-c2cn[nH]c2-c2ccc(Cl)cc2)nc2ccccc12; [None]; [None]; [0]
+Oc1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+c1ccc2nc(-c3n[nH]c4ccccc34)ncc2c1; [None]; [None]; [0]
+c1ccc2nc(-c3ccc4c(c3)Cc3c[nH]nc3-4)ncc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+Cn1nc(-c2ncc3ccccc3n2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ncc4ccccc4n3)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+c1ccc2nc(-c3c[nH]c4cnccc34)ncc2c1; [None]; [None]; [0]
+Clc1cccc2c(-c3ncc4ccccc4n3)n[nH]c12; [None]; [None]; [0]
+c1ccc2nc(Nc3n[nH]c4ccccc34)ncc2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
+FC(F)c1cc(-c2ncc3ccccc3n2)[nH]n1; [None]; [None]; [0]
+COc1ccc2cc(-c3ncc4ccccc4n3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ncc2ccccc2n1; [None]; [None]; [0]
+Oc1cc(-c2ncc3ccccc3n2)nc2ccnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ncc2ccccc2n1; [None]; [None]; [0]
+Cc1nc(-c2ncc3ccccc3n2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+COc1ccc(-c2ncc3ccccc3n2)cn1; [None]; [None]; [0]
+COc1ccc(-c2ncc3ccccc3n2)nc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
+Oc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+c1ccc2c(-c3c[nH]c4cccnc34)n[nH]c2c1; [None]; [None]; [0]
+c1cnc2c(-c3ccc4c(c3)Cc3c[nH]nc3-4)c[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2ccc3c(c2)Cc2c[nH]nc2-3)n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cccc(O)c2)n1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccn(CC[NH3+])n2)cc1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cc(F)cc(Cl)c2)n1; [None]; [None]; [0]
+Cn1nc(-c2ccn(CC[NH3+])n2)c2ccccc21; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cn[nH]c2Cl)n1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccn(CC[NH3+])n3)cc2[nH]1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2c[nH]c3cnccc23)n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2n[nH]c3c(Cl)cccc23)n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(Nc2n[nH]c3ccccc23)n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2[nH]cnc2-c2ccc(F)cc2)n1; [None]; [None]; [0]
+COc1cccc(-c2ccn(CC[NH3+])n2)c1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cc(C(F)F)n[nH]2)n1; [None]; [None]; [0]
+CCc1sccc1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
+COc1ccc2cc(-c3ccn(CC[NH3+])n3)ccc2c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cc(O)n3nccc3n2)n1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccn(CC[NH3+])n1; [None]; [None]; [0]
+COc1ccc(-c2ccn(CC[NH3+])n2)cn1; [None]; [None]; [0]
+Cc1nc(-c2ccn(CC[NH3+])n2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2ccn(CC[NH3+])n2)c1; [None]; [None]; [0]
+COc1ccc(-c2ccn(CC[NH3+])n2)nc1; [None]; [None]; [0]
+[NH3+]CCn1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)n1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2ncc3ccccc3n2)CC1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNCc2ccc(C(=O)[O-])cc2)CC1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2cnc3cccnn23)CC1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2nccc3ccccc23)CC1; [None]; [None]; [0]
+[NH3+]Cc1ccc(CNC[C@@H]2CC[C@@H]([NH3+])CC2)cc1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNCc2ccc(O)cc2)CC1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2ncc(Br)cn2)CC1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2ncc3cccn3n2)CC1; [None]; [None]; [0]
+CC1(C)Cc2cc(NC[C@@H]3CC[C@@H]([NH3+])CC3)ccc2O1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2cc3ccccn3n2)CC1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2ncc(Cl)cn2)CC1; [None]; [None]; [0]
+Cc1csc2c(NC[C@@H]3CC[C@@H]([NH3+])CC3)ncnc12; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2ncc3sccc3n2)CC1; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNCCc2c[nH]c3ccccc23)CC1; [None]; [None]; [0]
+Cn1cc(NC[C@@H]2CC[C@@H]([NH3+])CC2)c2ccccc21; [None]; [None]; [0]
+[NH3+][C@@H]1CC[C@@H](CNc2ccc(OC(F)(F)F)cc2)CC1; [None]; [None]; [0]
+N#Cc1ccc(O)c(Cc2ccc3nc[nH]c3c2Cl)c1; [None]; [None]; [0]
+Clc1c(CNc2ncccn2)ccc2nc[nH]c12; [None]; [None]; [0]
+Clc1c(Cc2cccc(C3CCNCC3)c2)ccc2nc[nH]c12; [None]; [None]; [0]
+Cc1cc(Cc2ccc3nc[nH]c3c2Cl)nc(N)n1; [None]; [None]; [0]
+c1ccc2c(-c3ccc4c(c3)OCO4)n[nH]c2c1; [None]; [None]; [0]
+Oc1ccc2cccc(Cc3ccc4nc[nH]c4c3Cl)c2c1; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+c1cc2c(cc1-c1ccc3c(c1)OCO3)Cc1c[nH]nc1-2; [None]; [None]; [0]
+Cn1nc(-c2ccc3c(c2)OCO3)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc4c(c3)OCO4)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+Clc1cccc2c(-c3ccc4c(c3)OCO4)n[nH]c12; [None]; [None]; [0]
+c1ccc2c(Nc3ccc4c(c3)OCO4)n[nH]c2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
+COc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+FC(F)c1cc(-c2ccc3c(c2)OCO3)[nH]n1; [None]; [None]; [0]
+COc1ccc2cc(-c3ccc4c(c3)OCO4)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+OCc1ccc(-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+Oc1cc(-c2ccc3c(c2)OCO3)nc2ccnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc2c(c1)OCO2; [None]; [None]; [0]
+Cc1nc(-c2ccc3c(c2)OCO3)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2ccc3c(c2)OCO3)c1; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(c2)OCO3)cn1; [None]; [None]; [0]
+COc1ccc(-c2ccc3c(c2)OCO3)nc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2ccc3c(c2)OCO3)cc1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cccc(O)c2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2n[nH]c3ccccc23)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2ccc3c(c2)Cc2c[nH]nc2-3)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(NC(=O)Cc2cccc(OC)c2)cc1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cc(F)cc(Cl)c2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2nn(C)c3ccccc23)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cn[nH]c2Cl)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2n[nH]c3c(Cl)cccc23)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cccc(OC)c2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2c(C)ccc(O)c2C)c1; [None]; [None]; [0]
+CCc1sccc1NC(=O)Cc1cccc(OC)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2ccc3cc(OC)ccc3c2)c1; [None]; [None]; [0]
 COc1cccc(CC(=O)Nc2cc(O)n3nccc3n2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2c(N)cnn2C)c1; [None]; [None]; [0]
+COCc1cccc(NC(=O)Cc2cccc(OC)c2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2ccc(F)c(C)n2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2ccc(OC)nc2)c1; [None]; [None]; [0]
+COc1ccc(NC(=O)Cc2cccc(OC)c2)nc1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+COc1cccc(CC(=O)Nc2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cccc(O)c2)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2n[nH]c3ccccc23)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2ccc3c(c2)Cc2c[nH]nc2-3)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc(CC(N)=O)c2)cc1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cc(F)cc(Cl)c2)c1; [None]; [None]; [0]
+Cn1nc(-c2cccc(CC(N)=O)c2)c2ccccc21; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2n[nH]c3c(Cl)cccc23)c1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+COc1cccc(-c2cccc(CC(N)=O)c2)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3cccc(CC(N)=O)c3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cccc(CC(N)=O)c1; [None]; [None]; [0]
 NC(=O)Cc1cccc(-c2cc(O)n3nccc3n2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cccc(CC(N)=O)c1; [None]; [None]; [0]
+Cn1nc(-c2c[nH]c3cccnc23)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3c[nH]c4cccnc34)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+c1cnc2c(-c3c[nH]c4cnccc34)c[nH]c2c1; [None]; [None]; [0]
+Clc1cccc2c(-c3c[nH]c4cccnc34)n[nH]c12; [None]; [None]; [0]
+c1ccc2c(Nc3c[nH]c4cccnc34)n[nH]c2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
+COc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+FC(F)c1cc(-c2c[nH]c3cccnc23)[nH]n1; [None]; [None]; [0]
+CCc1sccc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+COc1ccc2cc(-c3c[nH]c4cccnc34)ccc2c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+Oc1cc(-c2c[nH]c3cccnc23)nc2ccnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+Cc1nc(-c2c[nH]c3cccnc23)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3cccnc23)cn1; [None]; [None]; [0]
+COCc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3cccnc23)nc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
+OCCn1cnc(-c2cccc(O)c2)c1; [None]; [None]; [0]
+OCCn1cnc(-c2n[nH]c3ccccc23)c1; [None]; [None]; [0]
+OCCn1cnc(-c2ccc3c(c2)Cc2c[nH]nc2-3)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cn(CCO)cn2)cc1; [None]; [None]; [0]
+OCCn1cnc(-c2cc(F)cc(Cl)c2)c1; [None]; [None]; [0]
+Cn1nc(-c2cn(CCO)cn2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cn(CCO)cn3)cc2[nH]1; [None]; [None]; [0]
+OCCn1cnc(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
+OCCn1cnc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+OCCn1cnc(-c2n[nH]c3c(Cl)cccc23)c1; [None]; [None]; [0]
+OCCn1cnc(Nc2n[nH]c3ccccc23)c1; [None]; [None]; [0]
+OCCn1cnc(-c2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+COc1cccc(-c2cn(CCO)cn2)c1; [None]; [None]; [0]
+OCCn1cnc(-c2cc(C(F)F)n[nH]2)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3cn(CCO)cn3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cn(CCO)cn1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cn(CCO)cn1; [None]; [None]; [0]
+OCCn1cnc(-c2cc(O)n3nccc3n2)c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cn(CCO)cn1; [None]; [None]; [0]
+Cc1nc(-c2cn(CCO)cn2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2cn(CCO)cn2)c1; [None]; [None]; [0]
+COc1ccc(-c2cn(CCO)cn2)cn1; [None]; [None]; [0]
+COc1ccc(-c2cn(CCO)cn2)nc1; [None]; [None]; [0]
+OCCn1cnc(-c2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
+Oc1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+c1ccc2c(-c3ncc4cc[nH]c4n3)n[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
+c1cc2cnc(-c3ccc4c(c3)Cc3c[nH]nc3-4)nc2[nH]1; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+Cn1nc(-c2ncc3cc[nH]c3n2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ncc4cc[nH]c4n3)cc2[nH]1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+c1cc2c(-c3ncc4cc[nH]c4n3)c[nH]c2cn1; [None]; [None]; [0]
+Clc1cccc2c(-c3ncc4cc[nH]c4n3)n[nH]c12; [None]; [None]; [0]
+c1ccc2c(Nc3ncc4cc[nH]c4n3)n[nH]c2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
+COc1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+FC(F)c1cc(-c2ncc3cc[nH]c3n2)[nH]n1; [None]; [None]; [0]
+COc1ccc2cc(-c3ncc4cc[nH]c4n3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+Oc1cc(-c2ncc3cc[nH]c3n2)nc2ccnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+Cc1nc(-c2ncc3cc[nH]c3n2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+COc1ccc(-c2ncc3cc[nH]c3n2)cn1; [None]; [None]; [0]
+COc1ccc(-c2ncc3cc[nH]c3n2)nc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2cccc(O)c2)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2n[nH]c3ccccc23)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(CC#N)cc2)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2cc(F)cc(Cl)c2)cc1; [None]; [None]; [0]
+Cn1nc(-c2ccc(CC#N)cc2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc(CC#N)cc3)cc2[nH]1; [None]; [None]; [0]
+N#CCc1ccc(-c2cn[nH]c2Cl)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2c[nH]c3cnccc23)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2n[nH]c3c(Cl)cccc23)cc1; [None]; [None]; [0]
+N#CCc1ccc(Nc2n[nH]c3ccccc23)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2[nH]cnc2-c2ccc(F)cc2)cc1; [None]; [None]; [0]
+COc1cccc(-c2ccc(CC#N)cc2)c1; [None]; [None]; [0]
+N#CCc1ccc(-c2cc(C(F)F)n[nH]2)cc1; [None]; [None]; [0]
+COc1ccc2cc(-c3ccc(CC#N)cc3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1ccc(CC#N)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ccc(CC#N)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2cc(O)n3nccc3n2)cc1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc(CC#N)cc1; [None]; [None]; [0]
+Cc1nc(-c2ccc(CC#N)cc2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2ccc(CC#N)cc2)c1; [None]; [None]; [0]
+COc1ccc(-c2ccc(CC#N)cc2)cn1; [None]; [None]; [0]
+COc1ccc(-c2ccc(CC#N)cc2)nc1; [None]; [None]; [0]
+N#CCc1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)cc1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cccc(O)c2)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2n[nH]c3ccccc23)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2ccc3c(c2)Cc2c[nH]nc2-3)CC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(C2CCN(C(=O)CO)CC2)cc1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cc(F)cc(Cl)c2)CC1; [None]; [None]; [0]
+Cn1nc(C2CCN(C(=O)CO)CC2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(C3CCN(C(=O)CO)CC3)cc2[nH]1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cn[nH]c2Cl)CC1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cccc(CC(N)=O)c1; [None]; [None]; [0]
+Cc1nc(-c2cccc(CC(N)=O)c2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2cccc(CC(N)=O)c2)c1; [None]; [None]; [0]
+COc1ccc(-c2cccc(CC(N)=O)c2)cn1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc3ccccc3n2)cc1; [None]; [None]; [0]
+NC(=O)Cc1cccc(-c2cccc(C(F)(F)F)c2)c1; [None]; [None]; [0]
+COc1ccc(-c2cccc(CC(N)=O)c2)nc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cnc3cccnn23)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2nccc3ccccc23)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2ccc(C(=O)[O-])cc2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc(Br)cn2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2ccc(O)cc2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCc2ccc(C[NH3+])cc2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc3cccn3n2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cc3ccccn3n2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc3c(c2)CC(C)(C)O3)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc(Cl)cn2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncnc3c(C)csc23)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ncc3sccc3n2)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)NCCc2c[nH]c3ccccc23)cc1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2ccc(OC(F)(F)F)cc2)cc1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cccc(O)c2)[nH]1; [None]; [None]; [0]
+Cc1ccc(C(=O)Nc2cn(C)c3ccccc23)cc1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2n[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2ccc3c(c2)Cc2c[nH]nc2-3)[nH]1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnc(NC(C)=O)[nH]2)cc1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(F)cc(Cl)c2)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(F)c3nc(C)[nH]c3c2)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2nn(C)c3ccccc23)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cn[nH]c2Cl)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c[nH]c3cnccc23)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(Nc2n[nH]c3ccccc23)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2n[nH]c3c(Cl)cccc23)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2[nH]cnc2-c2ccc(F)cc2)[nH]1; [None]; [None]; [0]
+COc1cccc(-c2cnc(NC(C)=O)[nH]2)c1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cc(C(F)F)n[nH]2)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c(C)ccc(O)c2C)[nH]1; [None]; [None]; [0]
+COc1ccc2cc(-c3cnc(NC(C)=O)[nH]3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cnc(NC(C)=O)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2ccc(F)c(C)n2)[nH]1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2c(N)cnn2C)[nH]1; [None]; [None]; [0]
 CC(=O)Nc1ncc(-c2cc(O)n3nccc3n2)[nH]1; [None]; [None]; [0]
+COCc1cccc(-c2cnc(NC(C)=O)[nH]2)c1; [None]; [None]; [0]
+COc1ccc(-c2cnc(NC(C)=O)[nH]2)nc1; [None]; [None]; [0]
+COc1ccc(-c2cnc(NC(C)=O)[nH]2)cn1; [None]; [None]; [0]
+CC(=O)Nc1ncc(-c2cn[nH]c2-c2ccc(Cl)cc2)[nH]1; [None]; [None]; [0]
+Nc1nc(-c2n[nH]c3ccccc23)nc2ccccc12; [None]; [None]; [0]
 Nc1nc(-c2ccc3c(c2)Cc2c[nH]nc2-3)nc2ccccc12; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2nc(N)c3ccccc3n2)cc1; [None]; [None]; [0]
+Nc1nc(-c2cccc(O)c2)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(-c2cc(F)cc(Cl)c2)nc2ccccc12; [None]; [None]; [0]
+Cn1nc(-c2nc(N)c3ccccc3n2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3nc(N)c4ccccc4n3)cc2[nH]1; [None]; [None]; [0]
+Nc1nc(-c2c[nH]c3cnccc23)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(-c2n[nH]c3c(Cl)cccc23)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(Nc2n[nH]c3ccccc23)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(-c2cn[nH]c2Cl)nc2ccccc12; [None]; [None]; [0]
+Nc1nc(-c2[nH]cnc2-c2ccc(F)cc2)nc2ccccc12; [None]; [None]; [0]
+COc1cccc(-c2nc(N)c3ccccc3n2)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3nc(N)c4ccccc4n3)ccc2c1; [None]; [None]; [0]
+Nc1nc(-c2cc(C(F)F)n[nH]2)nc2ccccc12; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
+CCc1sccc1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
 Nc1nc(-c2cc(O)n3nccc3n2)nc2ccccc12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1nc(N)c2ccccc2n1; [None]; [None]; [0]
+Cc1nc(-c2nc(N)c3ccccc3n2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2nc(N)c3ccccc3n2)c1; [None]; [None]; [0]
+COc1ccc(-c2nc(N)c3ccccc3n2)cn1; [None]; [None]; [0]
+COc1ccc(-c2nc(N)c3ccccc3n2)nc1; [None]; [None]; [0]
+Nc1nc(-c2cn[nH]c2-c2ccc(Cl)cc2)nc2ccccc12; [None]; [None]; [0]
+Oc1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+c1ccc2nc(-c3n[nH]c4ccccc34)ncc2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
 c1ccc2nc(-c3ccc4c(c3)Cc3c[nH]nc3-4)ncc2c1; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+Cn1nc(-c2ncc3ccccc3n2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ncc4ccccc4n3)cc2[nH]1; [None]; [None]; [0]
+c1ccc2nc(-c3c[nH]c4cnccc34)ncc2c1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1ncc2ccccc2n1; [None]; [None]; [0]
+Clc1cccc2c(-c3ncc4ccccc4n3)n[nH]c12; [None]; [None]; [0]
+c1ccc2nc(Nc3n[nH]c4ccccc34)ncc2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
+COc1ccc2cc(-c3ncc4ccccc4n3)ccc2c1; [None]; [None]; [0]
+FC(F)c1cc(-c2ncc3ccccc3n2)[nH]n1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ncc2ccccc2n1; [None]; [None]; [0]
+CCc1sccc1-c1ncc2ccccc2n1; [None]; [None]; [0]
 Oc1cc(-c2ncc3ccccc3n2)nc2ccnn12; [None]; [None]; [0]
-Oc1cc(-c2c[nH]c3cccnc23)nc2ccnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ncc2ccccc2n1; [None]; [None]; [0]
+COCc1cccc(-c2ncc3ccccc3n2)c1; [None]; [None]; [0]
+Cc1nc(-c2ncc3ccccc3n2)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2ncc3ccccc3n2)nc1; [None]; [None]; [0]
+COc1ccc(-c2ncc3ccccc3n2)cn1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2ncc3ccccc3n2)cc1; [None]; [None]; [0]
+Oc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+c1ccc2c(-c3c[nH]c4cccnc34)n[nH]c2c1; [None]; [None]; [0]
 c1cnc2c(-c3ccc4c(c3)Cc3c[nH]nc3-4)c[nH]c2c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+Cn1nc(-c2c[nH]c3cccnc23)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3c[nH]c4cccnc34)cc2[nH]1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2c[nH]c3cnccc23)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2n[nH]c3c(Cl)cccc23)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(Nc2n[nH]c3ccccc23)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2[nH]cnc2-c2ccc(F)cc2)CC1; [None]; [None]; [0]
+COc1cccc(C2CCN(C(=O)CO)CC2)c1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cc(C(F)F)n[nH]2)CC1; [None]; [None]; [0]
+COc1ccc2cc(C3CCN(C(=O)CO)CC3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1C1CCN(C(=O)CO)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2ccc(CO)cc2)CC1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1C1CCN(C(=O)CO)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cc(O)n3nccc3n2)CC1; [None]; [None]; [0]
+Cn1ncc(N)c1C1CCN(C(=O)CO)CC1; [None]; [None]; [0]
+Cc1nc(C2CCN(C(=O)CO)CC2)ccc1F; [None]; [None]; [0]
+COCc1cccc(C2CCN(C(=O)CO)CC2)c1; [None]; [None]; [0]
+COc1ccc(C2CCN(C(=O)CO)CC2)cn1; [None]; [None]; [0]
+COc1ccc(C2CCN(C(=O)CO)CC2)nc1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cn[nH]c2-c2ccc(Cl)cc2)CC1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc(O)c2)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2n[nH]c3ccccc23)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cnn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnnc(N(C)C)c2)cc1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(F)cc(Cl)c2)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2nn(C)c3ccccc23)cnn1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnnc(N(C)C)c3)cc2[nH]1; [None]; [None]; [0]
+CN(C)c1cc(-c2cn[nH]c2Cl)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2c[nH]c3cnccc23)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2n[nH]c3c(Cl)cccc23)cnn1; [None]; [None]; [0]
+CN(C)c1cc(Nc2n[nH]c3ccccc23)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2[nH]cnc2-c2ccc(F)cc2)cnn1; [None]; [None]; [0]
+COc1cccc(-c2cnnc(N(C)C)c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(C(F)F)n[nH]2)cnn1; [None]; [None]; [0]
+COc1ccc2cc(-c3cnnc(N(C)C)c3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(O)n3nccc3n2)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2c(N)cnn2C)cnn1; [None]; [None]; [0]
+Cc1nc(-c2cnnc(N(C)C)c2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2cnnc(N(C)C)c2)c1; [None]; [None]; [0]
+COc1ccc(-c2cnnc(N(C)C)c2)cn1; [None]; [None]; [0]
+COc1ccc(-c2cnnc(N(C)C)c2)nc1; [None]; [None]; [0]
+CN(C)c1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)cnn1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cccc(O)c2)c1)C1CCNCC1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2n[nH]c3ccccc23)c1)C1CCNCC1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2ccc3c(c2)Cc2c[nH]nc2-3)c1)C1CCNCC1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)cc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(F)cc(Cl)c2)c1)C1CCNCC1; [None]; [None]; [0]
+Cn1nc(-c2cccc(NC(=O)C3CCNCC3)c2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cccc(NC(=O)C4CCNCC4)c3)cc2[nH]1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cn[nH]c2Cl)c1)C1CCNCC1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2c[nH]c3cnccc23)c1)C1CCNCC1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2n[nH]c3c(Cl)cccc23)c1)C1CCNCC1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2n[nH]c3ccccc23)c1)C1CCNCC1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2[nH]cnc2-c2ccc(F)cc2)c1)C1CCNCC1; [None]; [None]; [0]
+COc1cccc(-c2cccc(NC(=O)C3CCNCC3)c2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(C(F)F)n[nH]2)c1)C1CCNCC1; [None]; [None]; [0]
+COc1ccc2cc(-c3cccc(NC(=O)C4CCNCC4)c3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(O)n3nccc3n2)c1)C1CCNCC1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
+Cc1nc(-c2cccc(NC(=O)C3CCNCC3)c2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2cccc(NC(=O)C3CCNCC3)c2)c1; [None]; [None]; [0]
+COc1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)cn1; [None]; [None]; [0]
+COc1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)nc1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cn[nH]c2-c2ccc(Cl)cc2)c1)C1CCNCC1; [None]; [None]; [0]
+CCc1ccc(NC(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
+CCc1ccc(-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
+CCc1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+CCc1ccc(CC(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
+CCc1ccc(CC(=O)N[C@H](CO)c2ccccc2)cc1; [None]; [None]; [0]
+CCc1ccc(C(C)(C)NC(C)=O)cc1; [None]; [None]; [0]
+CCc1ccc(CC(=O)N[C@H](C)c2cccc(OC)c2)cc1; [None]; [None]; [0]
+CCc1ccc(-c2cc3ccccc3n2C)cc1; [None]; [None]; [0]
+CCc1ccc(-c2nc(C)ccc2OC)cc1; [None]; [None]; [0]
+CCc1ccc(-c2cccc3c2OCCO3)cc1; [None]; [None]; [0]
+CCc1ccc(-c2ccc([S@](C)=O)cc2)cc1; [None]; [None]; [0]
+CCc1ccc(-c2cccc(-n3cnc(C)c3)c2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2c(F)cc(OCCO)cc2F)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(O)ccc2F)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(OC(F)(F)F)cc2)cc1; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccc(C(N)=O)cc2)n1C; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
+Cc1ccc(F)c(-c2ccc(C(N)=O)cc2)n1; [None]; [None]; [0]
+NC(=O)c1ccc(-n2ccccc2=O)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc3ccccc3[nH]2)c(F)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(C(F)(F)F)ccn2)c(F)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(C(F)(F)F)c2)c(F)c1; [None]; [None]; [0]
+CC(=O)N1CCN(c2ccc(-c3ccc(C(N)=O)cc3F)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2ccc3c(c2)CCO3)c(F)c1; [None]; [None]; [0]
+CC(=O)NC(C)(C)c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
+CC(=O)N1CC=C(c2ccc(-c3ccc(C(N)=O)cc3F)cc2)CC1; [None]; [None]; [0]
+Cn1c(-c2ccc(C(N)=O)cc2F)cc2ccccc21; [None]; [None]; [0]
+COc1ccc(C)nc1-c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc3c2OCCO3)c(F)c1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccc(C(N)=O)cc2F)cc1; [None]; [None]; [0]
+Cc1cn(-c2cccc(-c3ccc(C(N)=O)cc3F)c2)cn1; [None]; [None]; [0]
+Oc1ccc(-c2cc(C(F)(F)F)ccn2)c(Cl)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(O)cc1Cl; [None]; [None]; [0]
+OCCOc1cc(F)c(-c2ccc(O)cc2Cl)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2cccc(C(F)(F)F)c2)c(Cl)c1; [None]; [None]; [0]
+Oc1ccc(-c2cccc3sccc23)c(Cl)c1; [None]; [None]; [0]
+Oc1ccc(-c2cc(O)ccc2F)c(Cl)c1; [None]; [None]; [0]
+c1cnc2c(-c3c[nH]c4cnccc34)c[nH]c2c1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+Clc1cccc2c(-c3c[nH]c4cccnc34)n[nH]c12; [None]; [None]; [0]
+c1ccc2c(Nc3c[nH]c4cccnc34)n[nH]c2c1; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
+COc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+COc1ccc2cc(-c3c[nH]c4cccnc34)ccc2c1; [None]; [None]; [0]
+FC(F)c1cc(-c2c[nH]c3cccnc23)[nH]n1; [None]; [None]; [0]
+CCc1sccc1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+Oc1cc(-c2c[nH]c3cccnc23)nc2ccnn12; [None]; [None]; [0]
+Cn1ncc(N)c1-c1c[nH]c2cccnc12; [None]; [None]; [0]
+Cc1nc(-c2c[nH]c3cccnc23)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3cccnc23)cn1; [None]; [None]; [0]
+COCc1cccc(-c2c[nH]c3cccnc23)c1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2c[nH]c3cccnc23)cc1; [None]; [None]; [0]
+COc1ccc(-c2c[nH]c3cccnc23)nc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cn(CCO)cn2)cc1; [None]; [None]; [0]
+OCCn1cnc(-c2cccc(O)c2)c1; [None]; [None]; [0]
+OCCn1cnc(-c2n[nH]c3ccccc23)c1; [None]; [None]; [0]
+OCCn1cnc(-c2ccc3c(c2)Cc2c[nH]nc2-3)c1; [None]; [None]; [0]
+OCCn1cnc(-c2cc(F)cc(Cl)c2)c1; [None]; [None]; [0]
+Cn1nc(-c2cn(CCO)cn2)c2ccccc21; [None]; [None]; [0]
+OCCn1cnc(Nc2n[nH]c3ccccc23)c1; [None]; [None]; [0]
+OCCn1cnc(-c2n[nH]c3c(Cl)cccc23)c1; [None]; [None]; [0]
+OCCn1cnc(-c2[nH]cnc2-c2ccc(F)cc2)c1; [None]; [None]; [0]
+OCCn1cnc(-c2c[nH]c3cnccc23)c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cn(CCO)cn3)cc2[nH]1; [None]; [None]; [0]
+OCCn1cnc(-c2cn[nH]c2Cl)c1; [None]; [None]; [0]
+CCc1sccc1-c1cn(CCO)cn1; [None]; [None]; [0]
+OCCn1cnc(-c2cc(O)n3nccc3n2)c1; [None]; [None]; [0]
+OCCn1cnc(-c2cc(C(F)F)n[nH]2)c1; [None]; [None]; [0]
+COc1cccc(-c2cn(CCO)cn2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cn(CCO)cn1; [None]; [None]; [0]
+COc1ccc2cc(-c3cn(CCO)cn3)ccc2c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1cn(CCO)cn1; [None]; [None]; [0]
+Cc1nc(-c2cn(CCO)cn2)ccc1F; [None]; [None]; [0]
+COc1ccc(-c2cn(CCO)cn2)cn1; [None]; [None]; [0]
+COCc1cccc(-c2cn(CCO)cn2)c1; [None]; [None]; [0]
+COc1ccc(-c2cn(CCO)cn2)nc1; [None]; [None]; [0]
+OCCn1cnc(-c2cn[nH]c2-c2ccc(Cl)cc2)c1; [None]; [None]; [0]
+c1ccc2c(-c3ncc4cc[nH]c4n3)n[nH]c2c1; [None]; [None]; [0]
 c1cc2cnc(-c3ccc4c(c3)Cc3c[nH]nc3-4)nc2[nH]1; [None]; [None]; [0]
+Oc1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
+Cn1nc(-c2ncc3cc[nH]c3n2)c2ccccc21; [None]; [None]; [0]
+Fc1cc(Cl)cc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ncc4cc[nH]c4n3)cc2[nH]1; [None]; [None]; [0]
+c1cc2c(-c3ncc4cc[nH]c4n3)c[nH]c2cn1; [None]; [None]; [0]
+c1ccc2c(Nc3ncc4cc[nH]c4n3)n[nH]c2c1; [None]; [None]; [0]
+Clc1[nH]ncc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+Clc1cccc2c(-c3ncc4cc[nH]c4n3)n[nH]c12; [None]; [None]; [0]
+Fc1ccc(-c2nc[nH]c2-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
+FC(F)c1cc(-c2ncc3cc[nH]c3n2)[nH]n1; [None]; [None]; [0]
+COc1ccc2cc(-c3ncc4cc[nH]c4n3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+COc1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
 Oc1cc(-c2ncc3cc[nH]c3n2)nc2ccnn12; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ncc2cc[nH]c2n1; [None]; [None]; [0]
+COc1ccc(-c2ncc3cc[nH]c3n2)cn1; [None]; [None]; [0]
+Cc1nc(-c2ncc3cc[nH]c3n2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2ncc3cc[nH]c3n2)c1; [None]; [None]; [0]
+COc1ccc(-c2ncc3cc[nH]c3n2)nc1; [None]; [None]; [0]
+Clc1ccc(-c2[nH]ncc2-c2ncc3cc[nH]c3n2)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2cccc(O)c2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2ccc(CC#N)cc2)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2n[nH]c3ccccc23)cc1; [None]; [None]; [0]
 N#CCc1ccc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cc1; [None]; [None]; [0]
-O=C(CO)N1CCC(c2ccc3c(c2)Cc2c[nH]nc2-3)CC1; [None]; [None]; [0]
+N#CCc1ccc(-c2cc(F)cc(Cl)c2)cc1; [None]; [None]; [0]
+Cn1nc(-c2ccc(CC#N)cc2)c2ccccc21; [None]; [None]; [0]
+N#CCc1ccc(-c2cn[nH]c2Cl)cc1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3ccc(CC#N)cc3)cc2[nH]1; [None]; [None]; [0]
+N#CCc1ccc(-c2n[nH]c3c(Cl)cccc23)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2c[nH]c3cnccc23)cc1; [None]; [None]; [0]
+N#CCc1ccc(Nc2n[nH]c3ccccc23)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2[nH]cnc2-c2ccc(F)cc2)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2cc(C(F)F)n[nH]2)cc1; [None]; [None]; [0]
+COc1ccc2cc(-c3ccc(CC#N)cc3)ccc2c1; [None]; [None]; [0]
+N#CCc1ccc(-c2ccc(CO)cc2)cc1; [None]; [None]; [0]
+COc1cccc(-c2ccc(CC#N)cc2)c1; [None]; [None]; [0]
+CCc1sccc1-c1ccc(CC#N)cc1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1ccc(CC#N)cc1; [None]; [None]; [0]
 N#CCc1ccc(-c2cc(O)n3nccc3n2)cc1; [None]; [None]; [0]
+Cc1nc(-c2ccc(CC#N)cc2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2ccc(CC#N)cc2)c1; [None]; [None]; [0]
+Cn1ncc(N)c1-c1ccc(CC#N)cc1; [None]; [None]; [0]
+COc1ccc(-c2ccc(CC#N)cc2)cn1; [None]; [None]; [0]
+COc1ccc(-c2ccc(CC#N)cc2)nc1; [None]; [None]; [0]
+N#CCc1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+N#CCc1ccc(-c2cn[nH]c2-c2ccc(Cl)cc2)cc1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(C2CCN(C(=O)CO)CC2)cc1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2n[nH]c3ccccc23)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cccc(O)c2)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2ccc3c(c2)Cc2c[nH]nc2-3)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cc(F)cc(Cl)c2)CC1; [None]; [None]; [0]
+Cn1nc(C2CCN(C(=O)CO)CC2)c2ccccc21; [None]; [None]; [0]
+Cc1nc2c(F)cc(C3CCN(C(=O)CO)CC3)cc2[nH]1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2c[nH]c3cnccc23)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cn[nH]c2Cl)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2n[nH]c3c(Cl)cccc23)CC1; [None]; [None]; [0]
+Oc1ccc(-c2ccc(OC(F)(F)F)cc2)c(Cl)c1; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccc(O)cc2Cl)n1C; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1ccc(O)cc1Cl; [None]; [None]; [0]
+Cc1ccc(F)c(-c2ccc(O)cc2Cl)n1; [None]; [None]; [0]
+O=c1ccccn1-c1ccc(O)cc1Cl; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cc(C(F)(F)F)ccn1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cc(F)ccc1OC; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1c(F)cc(OCCO)cc1F; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cccc2sccc12; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cc(O)ccc1F; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-n1c(=O)cc(C)n1C; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-n1c(C)cc(=O)n1-c1ccccc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1nc(C)ccc1F; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-n1ccccc1=O; [None]; [None]; [0]
+Oc1ccc(-c2cc(C(F)(F)F)ccn2)c(F)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(O)cc1F; [None]; [None]; [0]
+OCCOc1cc(F)c(-c2ccc(O)cc2F)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2cccc(C(F)(F)F)c2)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2cccc3sccc23)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2cc(O)ccc2F)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2ccc(OC(F)(F)F)cc2)c(F)c1; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccc(O)cc2F)n1C; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1ccc(O)cc1F; [None]; [None]; [0]
+Cc1ccc(F)c(-c2ccc(O)cc2F)n1; [None]; [None]; [0]
+O=c1ccccn1-c1ccc(O)cc1F; [None]; [None]; [0]
+Cn1nc(-c2cc(C(F)(F)F)ccn2)c2ccccc21; [None]; [None]; [0]
+COc1ccc(F)cc1-c1nn(C)c2ccccc12; [None]; [None]; [0]
+Cn1nc(-c2c(F)cc(OCCO)cc2F)c2ccccc21; [None]; [None]; [0]
+Cn1nc(-c2cccc(C(F)(F)F)c2)c2ccccc21; [None]; [None]; [0]
+Cn1nc(-c2cccc3sccc23)c2ccccc21; [None]; [None]; [0]
+Cn1nc(-c2cc(O)ccc2F)c2ccccc21; [None]; [None]; [0]
+Cn1nc(-c2ccc(OC(F)(F)F)cc2)c2ccccc21; [None]; [None]; [0]
+Cc1cc(=O)n(-c2nn(C)c3ccccc23)n1C; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1nn(C)c2ccccc12; [None]; [None]; [0]
+Cc1ccc(F)c(-c2nn(C)c3ccccc23)n1; [None]; [None]; [0]
+Cc1nccn(-c2nn(C)c3ccccc23)c1=O; [None]; [None]; [0]
+Cn1nc(-n2ccccc2=O)c2ccccc21; [None]; [None]; [0]
+Oc1ncc(-c2cc(C(F)(F)F)ccn2)cc1Cl; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
+OCCOc1cc(F)c(-c2cnc(O)c(Cl)c2)c(F)c1; [None]; [None]; [0]
+Oc1ncc(-c2cccc(C(F)(F)F)c2)cc1Cl; [None]; [None]; [0]
+Oc1ncc(-c2cccc3sccc23)cc1Cl; [None]; [None]; [0]
+Oc1ccc(F)c(-c2cnc(O)c(Cl)c2)c1; [None]; [None]; [0]
+Oc1ncc(-c2ccc(OC(F)(F)F)cc2)cc1Cl; [None]; [None]; [0]
+Cc1cc(=O)n(-c2cnc(O)c(Cl)c2)n1C; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
+Cc1ccc(F)c(-c2cnc(O)c(Cl)c2)n1; [None]; [None]; [0]
+O=c1ccccn1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
+NC(=O)c1cc(-c2nc3ccccc3[nH]2)c[nH]1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cc(C(F)(F)F)ccn2)c[nH]1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cccc(C(F)(F)F)c2)c[nH]1; [None]; [None]; [0]
+CC(=O)N1CCN(c2ccc(-c3c[nH]c(C(N)=O)c3)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1cc(Cc2ccc3c(c2)CCO3)c[nH]1; [None]; [None]; [0]
+CC(=O)NC(C)(C)c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
+CC(=O)N1CC=C(c2ccc(-c3c[nH]c(C(N)=O)c3)cc2)CC1; [None]; [None]; [0]
+Cn1c(-c2c[nH]c(C(N)=O)c2)cc2ccccc21; [None]; [None]; [0]
+COc1ccc(C)nc1-c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cccc3c2OCCO3)c[nH]1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2c[nH]c(C(N)=O)c2)cc1; [None]; [None]; [0]
+Cc1cn(-c2cccc(-c3c[nH]c(C(N)=O)c3)c2)cn1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
+CC(=O)N1CCN(c2ccc(-c3ccc(NC(N)=O)cc3)cc2)CC1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Cc2ccc3c(c2)CCO3)cc1; [None]; [None]; [0]
+CC(=O)NC(C)(C)c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+CC(=O)N1CC=C(c2ccc(-c3ccc(NC(N)=O)cc3)cc2)CC1; [None]; [None]; [0]
+Cn1c(-c2ccc(NC(N)=O)cc2)cc2ccccc21; [None]; [None]; [0]
+COc1ccc(C)nc1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc3c2OCCO3)cc1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccc(NC(N)=O)cc2)cc1; [None]; [None]; [0]
+Cc1cn(-c2cccc(-c3ccc(NC(N)=O)cc3)c2)cn1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cc(C(F)(F)F)ccn1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(O)cc1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1c(F)cc(OCCO)cc1F; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cccc2sccc12; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cc(O)ccc1F; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+Cc1cc(O)ccc1-n1c(=O)cc(C)n1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-n1c(C)cc(=O)n1-c1ccccc1; [None]; [None]; [0]
+Cc1ccc(F)c(-c2ccc(O)cc2C)n1; [None]; [None]; [0]
+Cc1cc(O)ccc1-n1ccccc1=O; [None]; [None]; [0]
+O=C(Nc1ccccc1)Nc1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
+CC(C)(C)NC(=O)Cc1ccc(CO)cc1; [None]; [None]; [0]
+O=C(Cc1ccc(CO)cc1)N[C@H](CO)c1ccccc1; [None]; [None]; [0]
+CC(=O)NC(C)(C)c1ccc(CO)cc1; [None]; [None]; [0]
+COc1cccc([C@@H](C)NC(=O)Cc2ccc(CO)cc2)c1; [None]; [None]; [0]
+Cn1c(-c2ccc(CO)cc2)cc2ccccc21; [None]; [None]; [0]
+COc1ccc(C)nc1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cccc3c2OCCO3)cc1; [None]; [None]; [0]
+Cc1cn(-c2cccc(-c3ccc(CO)cc3)c2)cn1; [None]; [None]; [0]
+FC(F)(F)c1ccnc(-c2ccc3c(c2)CCN3)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
+OCCOc1cc(F)c(-c2ccc3c(c2)CCN3)c(F)c1; [None]; [None]; [0]
+FC(F)(F)c1cccc(-c2ccc3c(c2)CCN3)c1; [None]; [None]; [0]
+c1cc(-c2ccc3c(c2)CCN3)c2ccsc2c1; [None]; [None]; [0]
+Oc1ccc(F)c(-c2ccc3c(c2)CCN3)c1; [None]; [None]; [0]
+FC(F)(F)Oc1ccc(-c2ccc3c(c2)CCN3)cc1; [None]; [None]; [0]
+O=C(CO)N1CCC(Nc2n[nH]c3ccccc23)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cc(C(F)F)n[nH]2)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2[nH]cnc2-c2ccc(F)cc2)CC1; [None]; [None]; [0]
+COc1cccc(C2CCN(C(=O)CO)CC2)c1; [None]; [None]; [0]
+COc1ccc2cc(C3CCN(C(=O)CO)CC3)ccc2c1; [None]; [None]; [0]
+CCc1sccc1C1CCN(C(=O)CO)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2ccc(CO)cc2)CC1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1C1CCN(C(=O)CO)CC1; [None]; [None]; [0]
+Cn1ncc(N)c1C1CCN(C(=O)CO)CC1; [None]; [None]; [0]
 O=C(CO)N1CCC(c2cc(O)n3nccc3n2)CC1; [None]; [None]; [0]
+Cc1nc(C2CCN(C(=O)CO)CC2)ccc1F; [None]; [None]; [0]
+COCc1cccc(C2CCN(C(=O)CO)CC2)c1; [None]; [None]; [0]
+COc1ccc(C2CCN(C(=O)CO)CC2)nc1; [None]; [None]; [0]
+COc1ccc(C2CCN(C(=O)CO)CC2)cn1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cccc(C(F)(F)F)c2)CC1; [None]; [None]; [0]
+O=C(CO)N1CCC(c2cn[nH]c2-c2ccc(Cl)cc2)CC1; [None]; [None]; [0]
+CN(C)c1cc(-c2cccc(O)c2)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2n[nH]c3ccccc23)cnn1; [None]; [None]; [0]
+CNS(=O)(=O)c1ccc(-c2cnnc(N(C)C)c2)cc1; [None]; [None]; [0]
 CN(C)c1cc(-c2ccc3c(c2)Cc2c[nH]nc2-3)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2nn(C)c3ccccc23)cnn1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cnnc(N(C)C)c3)cc2[nH]1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(F)cc(Cl)c2)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2cn[nH]c2Cl)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2c[nH]c3cnccc23)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2n[nH]c3c(Cl)cccc23)cnn1; [None]; [None]; [0]
+CN(C)c1cc(Nc2n[nH]c3ccccc23)cnn1; [None]; [None]; [0]
+COc1cccc(-c2cnnc(N(C)C)c2)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2[nH]cnc2-c2ccc(F)cc2)cnn1; [None]; [None]; [0]
+CN(C)c1cc(-c2cc(C(F)F)n[nH]2)cnn1; [None]; [None]; [0]
+COc1ccc2cc(-c3cnnc(N(C)C)c3)ccc2c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
+CCc1sccc1-c1cnnc(N(C)C)c1; [None]; [None]; [0]
+CN(C)c1cc(-c2c(N)cnn2C)cnn1; [None]; [None]; [0]
 CN(C)c1cc(-c2cc(O)n3nccc3n2)cnn1; [None]; [None]; [0]
+Cc1nc(-c2cnnc(N(C)C)c2)ccc1F; [None]; [None]; [0]
+COCc1cccc(-c2cnnc(N(C)C)c2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cccc(O)c2)c1)C1CCNCC1; [None]; [None]; [0]
+COc1ccc(-c2cnnc(N(C)C)c2)cn1; [None]; [None]; [0]
+COc1ccc(-c2cnnc(N(C)C)c2)nc1; [None]; [None]; [0]
+CN(C)c1cc(-c2cn[nH]c2-c2ccc(Cl)cc2)cnn1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2n[nH]c3ccccc23)c1)C1CCNCC1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2ccc3c(c2)Cc2c[nH]nc2-3)c1)C1CCNCC1; [None]; [None]; [0]
 CNS(=O)(=O)c1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)cc1; [None]; [None]; [0]
 Cn1nc(-c2cccc(NC(=O)C3CCNCC3)c2)c2ccccc21; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(F)cc(Cl)c2)c1)C1CCNCC1; [None]; [None]; [0]
+Cc1nc2c(F)cc(-c3cccc(NC(=O)C4CCNCC4)c3)cc2[nH]1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cn[nH]c2Cl)c1)C1CCNCC1; [None]; [None]; [0]
-O=C(Nc1cccc(Nc2n[nH]c3ccccc23)c1)C1CCNCC1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2c[nH]c3cnccc23)c1)C1CCNCC1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2n[nH]c3c(Cl)cccc23)c1)C1CCNCC1; [None]; [None]; [0]
+O=C(Nc1cccc(Nc2n[nH]c3ccccc23)c1)C1CCNCC1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2[nH]cnc2-c2ccc(F)cc2)c1)C1CCNCC1; [None]; [None]; [0]
 COc1cccc(-c2cccc(NC(=O)C3CCNCC3)c2)c1; [None]; [None]; [0]
+O=C(Nc1cccc(-c2cc(C(F)F)n[nH]2)c1)C1CCNCC1; [None]; [None]; [0]
 COc1ccc2cc(-c3cccc(NC(=O)C4CCNCC4)c3)ccc2c1; [None]; [None]; [0]
 CCc1sccc1-c1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cc(O)n3nccc3n2)c1)C1CCNCC1; [None]; [None]; [0]
 Cn1ncc(N)c1-c1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
+Cc1ccc(O)c(C)c1-c1cccc(NC(=O)C2CCNCC2)c1; [None]; [None]; [0]
 Cc1nc(-c2cccc(NC(=O)C3CCNCC3)c2)ccc1F; [None]; [None]; [0]
 COCc1cccc(-c2cccc(NC(=O)C3CCNCC3)c2)c1; [None]; [None]; [0]
 COc1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)cn1; [None]; [None]; [0]
 COc1ccc(-c2cccc(NC(=O)C3CCNCC3)c2)nc1; [None]; [None]; [0]
+CCc1ccc(NC(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
 O=C(Nc1cccc(-c2cn[nH]c2-c2ccc(Cl)cc2)c1)C1CCNCC1; [None]; [None]; [0]
-OCCOc1cc(F)c(-c2ccc(O)cc2)c(F)c1; [None]; [None]; [0]
-Cn1c(-c2c(F)cc(OCCO)cc2F)nc2ccccc21; [None]; [None]; [0]
+CCc1ccc(-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
+CCc1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+CCc1ccc(CC(=O)NC(C)(C)C)cc1; [None]; [None]; [0]
+CCc1ccc(C(C)(C)NC(C)=O)cc1; [None]; [None]; [0]
+CCc1ccc(CC(=O)N[C@H](CO)c2ccccc2)cc1; [None]; [None]; [0]
+CCc1ccc(CC(=O)N[C@H](C)c2cccc(OC)c2)cc1; [None]; [None]; [0]
+CCc1ccc(-c2cc3ccccc3n2C)cc1; [None]; [None]; [0]
+CCc1ccc(-c2nc(C)ccc2OC)cc1; [None]; [None]; [0]
+CCc1ccc(-c2cccc3c2OCCO3)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
+CCc1ccc(-c2cccc(-n3cnc(C)c3)c2)cc1; [None]; [None]; [0]
+CCc1ccc(-c2ccc([S@](C)=O)cc2)cc1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
 NC(=O)c1ccc(-c2c(F)cc(OCCO)cc2F)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(C(F)(F)F)c2)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(O)ccc2F)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2ccc(OC(F)(F)F)cc2)cc1; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccc(C(N)=O)cc2)n1C; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1ccc(C(N)=O)cc1; [None]; [None]; [0]
+Cc1ccc(F)c(-c2ccc(C(N)=O)cc2)n1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2nc3ccccc3[nH]2)c(F)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-n2ccccc2=O)cc1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cc(C(F)(F)F)ccn2)c(F)c1; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc(C(F)(F)F)c2)c(F)c1; [None]; [None]; [0]
+CC(=O)N1CCN(c2ccc(-c3ccc(C(N)=O)cc3F)cc2)CC1; [None]; [None]; [0]
+NC(=O)c1ccc(Cc2ccc3c(c2)CCO3)c(F)c1; [None]; [None]; [0]
+CC(=O)NC(C)(C)c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
 CC(=O)N1CC=C(c2ccc(-c3ccc(C(N)=O)cc3F)cc2)CC1; [None]; [None]; [0]
+Cn1c(-c2ccc(C(N)=O)cc2F)cc2ccccc21; [None]; [None]; [0]
+COc1ccc(C)nc1-c1ccc(C(N)=O)cc1F; [None]; [None]; [0]
+NC(=O)c1ccc(-c2cccc3c2OCCO3)c(F)c1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccc(C(N)=O)cc2F)cc1; [None]; [None]; [0]
+Cc1cn(-c2cccc(-c3ccc(C(N)=O)cc3F)c2)cn1; [None]; [None]; [0]
+Oc1ccc(-c2cc(C(F)(F)F)ccn2)c(Cl)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(O)cc1Cl; [None]; [None]; [0]
 OCCOc1cc(F)c(-c2ccc(O)cc2Cl)c(F)c1; [None]; [None]; [0]
-OCCOc1cc(F)c(COc2ccccc2Cl)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2cccc(C(F)(F)F)c2)c(Cl)c1; [None]; [None]; [0]
+Oc1ccc(-c2cccc3sccc23)c(Cl)c1; [None]; [None]; [0]
+Oc1ccc(-c2cc(O)ccc2F)c(Cl)c1; [None]; [None]; [0]
+Oc1ccc(-c2ccc(OC(F)(F)F)cc2)c(Cl)c1; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccc(O)cc2Cl)n1C; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1ccc(O)cc1Cl; [None]; [None]; [0]
+Cc1ccc(F)c(-c2ccc(O)cc2Cl)n1; [None]; [None]; [0]
+O=c1ccccn1-c1ccc(O)cc1Cl; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cc(C(F)(F)F)ccn1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cc(F)ccc1OC; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1c(F)cc(OCCO)cc1F; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cccc2sccc12; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1cc(O)ccc1F; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-n1c(=O)cc(C)n1C; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-n1c(C)cc(=O)n1-c1ccccc1; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-c1nc(C)ccc1F; [None]; [None]; [0]
+COc1cc(C(N)=O)ccc1-n1ccccc1=O; [None]; [None]; [0]
+Oc1ccc(-c2cc(C(F)(F)F)ccn2)c(F)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(O)cc1F; [None]; [None]; [0]
+Oc1ccc(-c2cccc(C(F)(F)F)c2)c(F)c1; [None]; [None]; [0]
+OCCOc1cc(F)c(-c2ccc(O)cc2F)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2cc(O)ccc2F)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2cccc3sccc23)c(F)c1; [None]; [None]; [0]
+Oc1ccc(-c2ccc(OC(F)(F)F)cc2)c(F)c1; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccc(O)cc2F)n1C; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1ccc(O)cc1F; [None]; [None]; [0]
+Cc1ccc(F)c(-c2ccc(O)cc2F)n1; [None]; [None]; [0]
+O=c1ccccn1-c1ccc(O)cc1F; [None]; [None]; [0]
+Cn1nc(-c2cc(C(F)(F)F)ccn2)c2ccccc21; [None]; [None]; [0]
+COc1ccc(F)cc1-c1nn(C)c2ccccc12; [None]; [None]; [0]
 Cn1nc(-c2c(F)cc(OCCO)cc2F)c2ccccc21; [None]; [None]; [0]
+Cn1nc(-c2cccc(C(F)(F)F)c2)c2ccccc21; [None]; [None]; [0]
+Cn1nc(-c2cccc3sccc23)c2ccccc21; [None]; [None]; [0]
+Cn1nc(-c2ccc(OC(F)(F)F)cc2)c2ccccc21; [None]; [None]; [0]
+Cn1nc(-c2cc(O)ccc2F)c2ccccc21; [None]; [None]; [0]
+Cc1cc(=O)n(-c2nn(C)c3ccccc23)n1C; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1nn(C)c2ccccc12; [None]; [None]; [0]
+Cc1ccc(F)c(-c2nn(C)c3ccccc23)n1; [None]; [None]; [0]
+Cc1nccn(-c2nn(C)c3ccccc23)c1=O; [None]; [None]; [0]
+Cn1nc(-n2ccccc2=O)c2ccccc21; [None]; [None]; [0]
+Oc1ncc(-c2cc(C(F)(F)F)ccn2)cc1Cl; [None]; [None]; [0]
+COc1ccc(F)cc1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
 OCCOc1cc(F)c(-c2cnc(O)c(Cl)c2)c(F)c1; [None]; [None]; [0]
+Oc1ncc(-c2cccc(C(F)(F)F)c2)cc1Cl; [None]; [None]; [0]
+Oc1ncc(-c2cccc3sccc23)cc1Cl; [None]; [None]; [0]
+Oc1ccc(F)c(-c2cnc(O)c(Cl)c2)c1; [None]; [None]; [0]
+Oc1ncc(-c2ccc(OC(F)(F)F)cc2)cc1Cl; [None]; [None]; [0]
+Cc1cc(=O)n(-c2cnc(O)c(Cl)c2)n1C; [None]; [None]; [0]
+Cc1ccc(F)c(-c2cnc(O)c(Cl)c2)n1; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
+O=c1ccccn1-c1cnc(O)c(Cl)c1; [None]; [None]; [0]
+NC(=O)c1cc(-c2nc3ccccc3[nH]2)c[nH]1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cc(C(F)(F)F)ccn2)c[nH]1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cccc(C(F)(F)F)c2)c[nH]1; [None]; [None]; [0]
+CC(=O)N1CCN(c2ccc(-c3c[nH]c(C(N)=O)c3)cc2)CC1; [None]; [None]; [0]
+CC(=O)NC(C)(C)c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
+NC(=O)c1cc(Cc2ccc3c(c2)CCO3)c[nH]1; [None]; [None]; [0]
 CC(=O)N1CC=C(c2ccc(-c3c[nH]c(C(N)=O)c3)cc2)CC1; [None]; [None]; [0]
+Cn1c(-c2c[nH]c(C(N)=O)c2)cc2ccccc21; [None]; [None]; [0]
+COc1ccc(C)nc1-c1c[nH]c(C(N)=O)c1; [None]; [None]; [0]
+NC(=O)c1cc(-c2cccc3c2OCCO3)c[nH]1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2c[nH]c(C(N)=O)c2)cc1; [None]; [None]; [0]
+Cc1cn(-c2cccc(-c3c[nH]c(C(N)=O)c3)c2)cn1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+CC(=O)N1CCN(c2ccc(-c3ccc(NC(N)=O)cc3)cc2)CC1; [None]; [None]; [0]
+NC(=O)Nc1ccc(Cc2ccc3c(c2)CCO3)cc1; [None]; [None]; [0]
+CC(=O)NC(C)(C)c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
 CC(=O)N1CC=C(c2ccc(-c3ccc(NC(N)=O)cc3)cc2)CC1; [None]; [None]; [0]
+Cn1c(-c2ccc(NC(N)=O)cc2)cc2ccccc21; [None]; [None]; [0]
+COc1ccc(C)nc1-c1ccc(NC(N)=O)cc1; [None]; [None]; [0]
+NC(=O)Nc1ccc(-c2cccc3c2OCCO3)cc1; [None]; [None]; [0]
+C[S@](=O)c1ccc(-c2ccc(NC(N)=O)cc2)cc1; [None]; [None]; [0]
+Cc1cn(-c2cccc(-c3ccc(NC(N)=O)cc3)c2)cn1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cc(C(F)(F)F)ccn1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(O)cc1C; [None]; [None]; [0]
 Cc1cc(O)ccc1-c1c(F)cc(OCCO)cc1F; [None]; [None]; [0]
-CC(C)(C)CCNC(=O)Nc1ccc2c(c1)CCN2; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cccc(C(F)(F)F)c1; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cccc2sccc12; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1cc(O)ccc1F; [None]; [None]; [0]
+Cc1cc(O)ccc1-c1ccc(OC(F)(F)F)cc1; [None]; [None]; [0]
+Cc1cc(O)ccc1-n1c(=O)cc(C)n1C; [None]; [None]; [0]
+Cc1cc(O)ccc1-n1c(C)cc(=O)n1-c1ccccc1; [None]; [None]; [0]
+Cc1ccc(F)c(-c2ccc(O)cc2C)n1; [None]; [None]; [0]
+Cc1cc(O)ccc1-n1ccccc1=O; [None]; [None]; [0]
+O=C(Nc1ccccc1)Nc1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2nc3ccccc3[nH]2)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cc(C(F)(F)F)ccn2)cc1; [None]; [None]; [0]
+CC(C)(C)NC(=O)Cc1ccc(CO)cc1; [None]; [None]; [0]
+O=C(Cc1ccc(CO)cc1)N[C@H](CO)c1ccccc1; [None]; [None]; [0]
+CC(=O)NC(C)(C)c1ccc(CO)cc1; [None]; [None]; [0]
+COc1cccc([C@@H](C)NC(=O)Cc2ccc(CO)cc2)c1; [None]; [None]; [0]
+Cn1c(-c2ccc(CO)cc2)cc2ccccc21; [None]; [None]; [0]
+COc1ccc(C)nc1-c1ccc(CO)cc1; [None]; [None]; [0]
+OCc1ccc(-c2cccc3c2OCCO3)cc1; [None]; [None]; [0]
+Cc1cn(-c2cccc(-c3ccc(CO)cc3)c2)cn1; [None]; [None]; [0]
+FC(F)(F)c1ccnc(-c2ccc3c(c2)CCN3)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
 OCCOc1cc(F)c(-c2ccc3c(c2)CCN3)c(F)c1; [None]; [None]; [0]
+COc1ccc(F)cc1-c1ccc(C(N)=O)c(C)c1; ['COc1ccc(F)cc1Br', 'COc1ccc(F)cc1B1OC(C)(C)C(C)(C)O1', 'COc1ccc(F)cc1B(O)O', 'COc1ccc(F)cc1B(O)O']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O']; [1.0, 0.9999986886978149, 0.9999971389770508, 0.9999550580978394]
+O=c1ccccn1-c1ccc2c(c1)CCN2; ['Ic1ccc2c(c1)CCN2', 'Brc1ccc2c(c1)CCN2', 'Fc1ccc2c(c1)CCN2']; ['O=c1cccc[nH]1', 'O=c1cccc[nH]1', 'O=c1cccc[nH]1']; [0.9961680173873901, 0.992188572883606, 0.8530454039573669]
+Cc1ccc(F)c(-c2ccc3c(c2)CCN3)n1; ['CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Cc1ccc(F)c(Br)n1', 'CC1(C)OB(c2ccc3c(c2)CCN3)OC1(C)C', 'Cc1ccc(F)c(Cl)n1']; ['Cc1ccc(F)c(Br)n1', 'OB(O)c1ccc2c(c1)CCN2', 'Cc1ccc(F)c(Cl)n1', 'OB(O)c1ccc2c(c1)CCN2']; [0.9999945163726807, 0.9998990297317505, 0.9997867345809937, 0.9994897842407227]
+Cc1cc(-c2cc(C(F)(F)F)ccn2)ccc1C(N)=O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O']; ['FC(F)(F)c1ccnc(Br)c1', 'FC(F)(F)c1ccnc(Cl)c1', 'OB(O)c1cc(C(F)(F)F)ccn1', 'FC(F)(F)c1ccnc(Cl)c1', 'FC(F)(F)c1ccnc([Zn]Br)c1', 'FC(F)(F)c1ccnc(Br)c1']; [0.9999977350234985, 0.9999961853027344, 0.9998747110366821, 0.9998538494110107, 0.9992803335189819, 0.9874438047409058]
+Cc1cc(=O)n(-c2ccc3c(c2)CCN3)n1C; ['Cc1cc(=O)[nH]n1C']; ['Fc1ccc2c(c1)CCN2']; [0.9537613391876221]
+Cc1cc(-c2cccc(C(F)(F)F)c2)ccc1C(N)=O; ['CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'CC1(C)OB(c2cccc(C(F)(F)F)c2)OC1(C)C', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O']; ['Cc1cc(Br)ccc1C(N)=O', 'FC(F)(F)c1cccc(Br)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Cl)c1', 'Cc1cc(Cl)ccc1C(N)=O', 'OB(O)c1cccc(C(F)(F)F)c1', 'OB(O)c1cccc(C(F)(F)F)c1', 'FC(F)(F)c1cccc(I)c1', 'FC(F)(F)c1cccc(Br)c1']; [0.9999959468841553, 0.9999949932098389, 0.9999921917915344, 0.9999877214431763, 0.9999706745147705, 0.9999685287475586, 0.9998799562454224, 0.9997665286064148, 0.988170862197876]
+Cc1cc(-c2ccc(OC(F)(F)F)cc2)ccc1C(N)=O; ['CC1(C)OB(c2ccc(OC(F)(F)F)cc2)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O']; ['Cc1cc(Br)ccc1C(N)=O', 'FC(F)(F)Oc1ccc(Br)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1', 'OB(O)c1ccc(OC(F)(F)F)cc1']; [1.0, 1.0, 0.9999997615814209, 0.9999985694885254]
+Cc1cc(-c2cccc3sccc23)ccc1C(N)=O; ['Brc1cccc2sccc12', 'CC1(C)OB(c2cccc3sccc23)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'CC1(C)OB(c2cccc3sccc23)OC1(C)C', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O', 'Brc1cccc2sccc12']; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Clc1cccc2sccc12', 'Cc1cc(Cl)ccc1C(N)=O', 'OB(O)c1cccc2sccc12', 'OB(O)c1cccc2sccc12', 'Cc1cc(Br)ccc1C(N)=O']; [1.0, 0.9999997615814209, 0.9999992251396179, 0.9999986290931702, 0.9999773502349854, 0.9995036125183105, 0.996718168258667]
+Cc1cc(-c2cc(O)ccc2F)ccc1C(N)=O; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'CC1(C)OB(c2cc(O)ccc2F)OC1(C)C', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'CC1(C)OB(c2cc(O)ccc2F)OC1(C)C', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O']; ['Oc1ccc(F)c(Br)c1', 'Cc1cc(Br)ccc1C(N)=O', 'Oc1ccc(F)c(Cl)c1', 'Cc1cc(Cl)ccc1C(N)=O', 'OB(O)c1cc(O)ccc1F', 'OB(O)c1cc(O)ccc1F']; [0.9999901652336121, 0.9999872446060181, 0.9999548196792603, 0.9999533295631409, 0.9999293088912964, 0.9989056587219238]
+Cc1cc(-n2c(=O)cc(C)n2C)ccc1C(N)=O; ['Cc1cc(=O)[nH]n1C']; ['Cc1cc(F)ccc1C(N)=O']; [0.7765926718711853]
 Cc1cc(-c2c(F)cc(OCCO)cc2F)ccc1C(N)=O; [None]; [None]; [0]
+Cc1ccc(F)c(-c2ccc(C(N)=O)c(C)c2)n1; ['Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(B2OC(C)(C)C(C)(C)O2)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(Br)ccc1C(N)=O']; ['Cc1ccc(F)c(Br)n1', 'Cc1ccc(F)c(Cl)n1', 'Cc1ccc(F)c(B(O)O)n1', 'Cc1ccc(F)c([Zn]Br)n1', 'Cc1ccc(F)c(Br)n1']; [0.9999979138374329, 0.9999918937683105, 0.9992538690567017, 0.997340977191925, 0.9845964908599854]
+Cc1cc(-n2ccccc2=O)ccc1C(N)=O; ['Cc1cc(Br)ccc1C(N)=O', 'Cc1cc(F)ccc1C(N)=O', 'Cc1cc(Cl)ccc1C(N)=O']; ['O=c1cccc[nH]1', 'O=c1cccc[nH]1', 'O=c1cccc[nH]1']; [0.996822714805603, 0.9764837026596069, 0.9563369750976562]
+Cc1cc(-n2c(C)cc(=O)n2-c2ccccc2)ccc1C(N)=O; [None]; [None]; [0]
+O=C1c2ccccc2CN1Cn1ccccc1=O; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1-c1ccc2c(c1)CCN2; [None]; [None]; [0]
+CNC(=O)c1ccc(NC(=O)Nc2ccccc2)cc1; [None]; [None]; [0]
+Cc1cc(=O)n(CN2Cc3ccccc3C2=O)n1C; [None]; [None]; [0]
+Cc1cc(=O)n(-c2ccccc2)n1CN1Cc2ccccc2C1=O; [None]; [None]; [0]
diff --git a/data/fragment_library_custom_filtered/AP.sdf b/data/fragment_library_custom_filtered/AP.sdf
index 4340c727..e9952756 100644
--- a/data/fragment_library_custom_filtered/AP.sdf
+++ b/data/fragment_library_custom_filtered/AP.sdf
@@ -1,3 +1,216 @@
+5l4q_altA_chainA
+     RDKit          3D
+
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+   -0.5700   17.5873   43.6564 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9297   18.7339   44.3654 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4431   18.6008   45.3063 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6844   19.9881   43.9634 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0951   17.7479   42.4362 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3911   16.8859   41.8567 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3705   19.0356   41.9781 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0478   20.0938   42.7933 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3167   21.2521   42.1679 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1507   22.1874   42.5109 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9445   20.9279   40.9984 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3339   21.6652   40.3120 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0344   19.5557   40.7759 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5861   18.8048   39.7302 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6453   17.8025   39.8391 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0512   19.3630   38.5626 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8868   16.2341   44.1774 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  5  1  0
+  2  3  1  0
+  2  4  1  0
+  4  8  2  0
+  5  6  1  0
+  5  7  2  0
+  7  8  1  0
+  7 13  1  0
+  8  9  1  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 17  1  1  0
+V   16 *
+V   17 *
+M  END
+>  <kinase>  (1) 
+AAK1
+
+>  <family>  (1) 
+NAK
+
+>  <group>  (1) 
+Other
+
+>  <complex_pdb>  (1) 
+5l4q
+
+>  <ligand_pdb>  (1) 
+LKB
+
+>  <alt>  (1) 
+A
+
+>  <chain>  (1) 
+A
+
+>  <atom.prop.subpocket>  (1) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP SE
+
+>  <atom.prop.environment>  (1) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na
+
+$$$$
+8gmd_chainA
+     RDKit          3D
+
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    0.3254   18.2480   42.4269 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4054   19.1001   43.2331 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4768   20.4801   43.1060 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2514   20.9508   42.1077 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2512   22.0223   41.9725 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9865   20.2406   41.2494 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0175   18.9032   41.3736 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1413   16.9635   42.9316 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7331   17.0721   44.0471 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0769   16.2501   44.6574 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0645   18.3720   44.2203 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7183   18.7707   44.9818 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6724   18.1753   40.4211 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6984   17.1859   40.6223 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3203   18.5166   39.2150 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7881   15.6812   42.4830 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  7  1  0
+  1  8  2  0
+  2  3  1  0
+  2 11  1  0
+  3  4  2  0
+  4  5  1  0
+  4  6  1  0
+  6  7  2  0
+  7 13  1  0
+  8  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 13 14  1  0
+ 15 13  1  0
+  8 16  1  0
+V   15 *
+V   16 *
+M  END
+>  <kinase>  (2) 
+AAK1
+
+>  <family>  (2) 
+NAK
+
+>  <group>  (2) 
+Other
+
+>  <complex_pdb>  (2) 
+8gmd
+
+>  <ligand_pdb>  (2) 
+ZRR
+
+>  <alt>  (2) 
+ 
+
+>  <chain>  (2) 
+A
+
+>  <atom.prop.subpocket>  (2) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP
+
+>  <atom.prop.environment>  (2) 
+14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na
+
+$$$$
+4ewh_chainB
+     RDKit          3D
+
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -0.7650   17.2758   44.7782 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9072   18.6225   44.9078 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3249   19.1136   45.6852 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3921   19.1620   43.8177 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3449   20.5747   43.5200 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2272   20.9122   42.3487 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2737   21.9535   42.0659 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7322   20.0023   41.5383 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1379   18.2287   42.9783 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0517   16.9811   43.6057 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7349   18.6672   41.7965 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2253   17.8476   40.8235 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3196   16.8582   41.0031 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6135   18.3847   39.5309 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6617   18.6807   39.5731 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9980   19.2576   39.3132 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4416   17.4047   38.4562 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1628   16.2613   45.8034 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3068   15.6562   42.9899 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1 10  2  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
+  4  9  1  0
+  5  6  1  0
+  6  7  1  0
+  6  8  2  0
+  8 11  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18  1  1  0
+ 10 19  1  0
+V   17 *
+V   18 *
+V   19 *
+M  END
+>  <kinase>  (3) 
+ACK
+
+>  <family>  (3) 
+Ack
+
+>  <group>  (3) 
+TK
+
+>  <complex_pdb>  (3) 
+4ewh
+
+>  <ligand_pdb>  (3) 
+T77
+
+>  <alt>  (3) 
+ 
+
+>  <chain>  (3) 
+B
+
+>  <atom.prop.subpocket>  (3) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP SE FP
+
+>  <atom.prop.environment>  (3) 
+14 14 14 14 14 14 14 14 14 16 14 5 5 4 4 4 na na na
+
+$$$$
 3q4t_altA_chainB
      RDKit          3D
 
@@ -29,36 +242,36 @@
   9 10  2  0
  10 11  1  0
  10 12  1  0
-  1 13  1  0
+ 13  1  1  0
  12 14  1  0
 V   13 *
 V   14 *
 M  END
->  <kinase>  (1) 
+>  <kinase>  (4) 
 ACTR2
 
->  <family>  (1) 
+>  <family>  (4) 
 STKR
 
->  <group>  (1) 
+>  <group>  (4) 
 TKL
 
->  <complex_pdb>  (1) 
+>  <complex_pdb>  (4) 
 3q4t
 
->  <ligand_pdb>  (1) 
+>  <ligand_pdb>  (4) 
 TAK
 
->  <alt>  (1) 
+>  <alt>  (4) 
 A
 
->  <chain>  (1) 
+>  <chain>  (4) 
 B
 
->  <atom.prop.subpocket>  (1) 
+>  <atom.prop.subpocket>  (4) 
 AP AP AP AP AP AP AP AP AP AP AP AP SE GA
 
->  <atom.prop.environment>  (1) 
+>  <atom.prop.environment>  (4) 
 16 16 16 16 16 16 16 16 16 16 16 16 na na
 
 $$$$
@@ -105,33 +318,96 @@ $$$$
  16 18  1  0
 V   18 *
 M  END
->  <kinase>  (2) 
+>  <kinase>  (5) 
 ACTR2
 
->  <family>  (2) 
+>  <family>  (5) 
 STKR
 
->  <group>  (2) 
+>  <group>  (5) 
 TKL
 
->  <complex_pdb>  (2) 
+>  <complex_pdb>  (5) 
 3soc
 
->  <ligand_pdb>  (2) 
+>  <ligand_pdb>  (5) 
 GVD
 
->  <alt>  (2) 
+>  <alt>  (5) 
 A
 
->  <chain>  (2) 
+>  <chain>  (5) 
 A
 
->  <atom.prop.subpocket>  (2) 
+>  <atom.prop.subpocket>  (5) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (2) 
+>  <atom.prop.environment>  (5) 
 15 15 15 15 15 15 15 15 14 14 14 14 14 14 14 5 5 na
 
+$$$$
+3cqw_altA_chainA
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    0.4657   20.6618   42.8476 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4651   19.0464   44.2402 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1379   18.7837   45.0432 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2284   19.6901   42.1624 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7224   21.8976   42.2708 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2964   22.7722   42.5423 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2122   19.8695   40.0371 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    2.0213   20.4514   41.1675 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6478   21.7380   41.2732 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0262   22.5386   40.6548 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3440   20.3232   43.8533 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0523   18.3555   42.5885 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2487   18.1030   43.6292 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7473   17.2541   42.0445 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  4  2  0
+  1  5  1  0
+  1 11  1  0
+  2  3  1  0
+  2 11  2  0
+  2 13  1  0
+  4  8  1  0
+  4 12  1  0
+  5  6  1  0
+  5  9  1  0
+  7  8  1  0
+  8  9  2  0
+  9 10  1  0
+ 12 13  2  0
+ 12 14  1  0
+V   14 *
+M  END
+>  <kinase>  (6) 
+AKT1
+
+>  <family>  (6) 
+Akt
+
+>  <group>  (6) 
+AGC
+
+>  <complex_pdb>  (6) 
+3cqw
+
+>  <ligand_pdb>  (6) 
+CQW
+
+>  <alt>  (6) 
+A
+
+>  <chain>  (6) 
+A
+
+>  <atom.prop.subpocket>  (6) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (6) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 na
+
 $$$$
 3mv5_altB_chainA
      RDKit          3D
@@ -171,59 +447,134 @@ $$$$
  13 14  1  0
  13 15  1  0
  13 16  1  0
-  1 17  1  0
+ 17  1  1  0
 V   17 *
 M  END
->  <kinase>  (3) 
+>  <kinase>  (7) 
 AKT1
 
->  <family>  (3) 
+>  <family>  (7) 
 Akt
 
->  <group>  (3) 
+>  <group>  (7) 
 AGC
 
->  <complex_pdb>  (3) 
+>  <complex_pdb>  (7) 
 3mv5
 
->  <ligand_pdb>  (3) 
+>  <ligand_pdb>  (7) 
 XFE
 
->  <alt>  (3) 
+>  <alt>  (7) 
 B
 
->  <chain>  (3) 
+>  <chain>  (7) 
 A
 
->  <atom.prop.subpocket>  (3) 
+>  <atom.prop.subpocket>  (7) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (3) 
-16 16 16 16 16 16 16 16 16 16 16 16 8 8 8 8 na
+>  <atom.prop.environment>  (7) 
+14 14 14 14 14 14 14 14 14 14 14 16 8 8 8 8 na
 
 $$$$
-3ocb_chainB
+3mvh_altB_chainA
      RDKit          3D
 
- 14 15  0  0  0  0  0  0  0  0999 V2000
-    1.0536   18.1262   42.6093 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2652   19.4267   42.0923 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0564   19.8993   40.9919 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6757   19.3318   40.3131 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8271   21.2641   41.0180 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2637   21.9660   40.3229 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9553   21.6242   42.0617 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6420   22.5586   42.2825 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6124   20.4874   42.7174 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2415   17.9712   43.6720 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3236   19.0814   44.1835 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9671   18.9273   45.0370 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1947   20.3561   43.7746 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6544   17.0247   42.0402 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 10  1  0
-  2  3  1  0
-  2  9  1  0
+ 20 21  0  0  0  0  0  0  0  0999 V2000
+    3.5480   19.1436   40.0962 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0466   18.6936   39.2377 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6018   18.4627   40.9457 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0399   20.0822   40.3512 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0933   19.4114   39.7535 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6050   18.4712   39.4970 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0432   20.0907   38.9025 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3846   20.0360   40.9330 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1428   21.3967   41.0305 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4557   22.1486   40.3211 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4508   21.6184   42.1618 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0998   22.5153   42.4658 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2985   20.4516   42.8289 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3240   20.3174   44.0370 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3907   19.1019   44.6172 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8247   18.9815   45.5988 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0989   18.0359   43.9411 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6740   18.1241   42.7203 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8309   19.4093   42.1149 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0817   16.9072   42.2871 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  5  7  1  0
+  5  8  1  0
+  8  9  2  0
+  8 19  1  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 13 14  1  0
+ 13 19  2  0
+ 14 15  2  0
+ 15 16  1  0
+ 15 17  1  0
+ 17 18  2  0
+ 18 19  1  0
+ 18 20  1  0
+V   20 *
+M  END
+>  <kinase>  (8) 
+AKT1
+
+>  <family>  (8) 
+Akt
+
+>  <group>  (8) 
+AGC
+
+>  <complex_pdb>  (8) 
+3mvh
+
+>  <ligand_pdb>  (8) 
+WFE
+
+>  <alt>  (8) 
+B
+
+>  <chain>  (8) 
+A
+
+>  <atom.prop.subpocket>  (8) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (8) 
+8 8 8 8 8 8 8 16 14 14 14 14 14 14 14 14 14 14 14 na
+
+$$$$
+3ocb_chainB
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    1.0536   18.1262   42.6093 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2652   19.4267   42.0923 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0564   19.8993   40.9919 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6757   19.3318   40.3131 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8271   21.2641   41.0180 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2637   21.9660   40.3229 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9553   21.6242   42.0617 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6420   22.5586   42.2825 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6124   20.4874   42.7174 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2415   17.9712   43.6720 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3236   19.0814   44.1835 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9671   18.9273   45.0370 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1947   20.3561   43.7746 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6544   17.0247   42.0402 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 10  1  0
+  2  3  1  0
+  2  9  1  0
   3  4  1  0
   3  5  2  0
   5  6  1  0
@@ -237,31 +588,31 @@ $$$$
   1 14  1  0
 V   14 *
 M  END
->  <kinase>  (4) 
+>  <kinase>  (9) 
 AKT1
 
->  <family>  (4) 
+>  <family>  (9) 
 Akt
 
->  <group>  (4) 
+>  <group>  (9) 
 AGC
 
->  <complex_pdb>  (4) 
+>  <complex_pdb>  (9) 
 3ocb
 
->  <ligand_pdb>  (4) 
+>  <ligand_pdb>  (9) 
 XM1
 
->  <alt>  (4) 
+>  <alt>  (9) 
  
 
->  <chain>  (4) 
+>  <chain>  (9) 
 B
 
->  <atom.prop.subpocket>  (4) 
+>  <atom.prop.subpocket>  (9) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (4) 
+>  <atom.prop.environment>  (9) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
@@ -301,34 +652,34 @@ $$$$
  12 13  1  0
  12 14  2  0
  14 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   16 *
 M  END
->  <kinase>  (5) 
+>  <kinase>  (10) 
 AKT1
 
->  <family>  (5) 
+>  <family>  (10) 
 Akt
 
->  <group>  (5) 
+>  <group>  (10) 
 AGC
 
->  <complex_pdb>  (5) 
+>  <complex_pdb>  (10) 
 3qkm
 
->  <ligand_pdb>  (5) 
+>  <ligand_pdb>  (10) 
 SM9
 
->  <alt>  (5) 
+>  <alt>  (10) 
  
 
->  <chain>  (5) 
+>  <chain>  (10) 
 A
 
->  <atom.prop.subpocket>  (5) 
+>  <atom.prop.subpocket>  (10) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (5) 
+>  <atom.prop.environment>  (10) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
@@ -375,32 +726,32 @@ $$$$
  14 18  1  0
 V   18 *
 M  END
->  <kinase>  (6) 
+>  <kinase>  (11) 
 AKT2
 
->  <family>  (6) 
+>  <family>  (11) 
 Akt
 
->  <group>  (6) 
+>  <group>  (11) 
 AGC
 
->  <complex_pdb>  (6) 
+>  <complex_pdb>  (11) 
 2jdr
 
->  <ligand_pdb>  (6) 
+>  <ligand_pdb>  (11) 
 L20
 
->  <alt>  (6) 
+>  <alt>  (11) 
  
 
->  <chain>  (6) 
+>  <chain>  (11) 
 A
 
->  <atom.prop.subpocket>  (6) 
+>  <atom.prop.subpocket>  (11) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (6) 
-8 8 8 8 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (11) 
+8 8 8 8 14 14 14 14 14 14 14 14 14 16 14 14 14 na
 
 $$$$
 3e87_altB_chainB
@@ -440,31 +791,31 @@ $$$$
   5 15  1  0
 V   15 *
 M  END
->  <kinase>  (7) 
+>  <kinase>  (12) 
 AKT2
 
->  <family>  (7) 
+>  <family>  (12) 
 Akt
 
->  <group>  (7) 
+>  <group>  (12) 
 AGC
 
->  <complex_pdb>  (7) 
+>  <complex_pdb>  (12) 
 3e87
 
->  <ligand_pdb>  (7) 
+>  <ligand_pdb>  (12) 
 G95
 
->  <alt>  (7) 
+>  <alt>  (12) 
 B
 
->  <chain>  (7) 
+>  <chain>  (12) 
 B
 
->  <atom.prop.subpocket>  (7) 
+>  <atom.prop.subpocket>  (12) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (7) 
+>  <atom.prop.environment>  (12) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -498,37 +849,37 @@ $$$$
   9 10  1  0
  10 11  1  0
  10 12  2  0
-  1 13  1  0
+ 13  1  1  0
  12 14  1  0
 V   13 *
 V   14 *
 M  END
->  <kinase>  (8) 
+>  <kinase>  (13) 
 ALK
 
->  <family>  (8) 
+>  <family>  (13) 
 ALK
 
->  <group>  (8) 
+>  <group>  (13) 
 TK
 
->  <complex_pdb>  (8) 
+>  <complex_pdb>  (13) 
 2xp2
 
->  <ligand_pdb>  (8) 
+>  <ligand_pdb>  (13) 
 VGH
 
->  <alt>  (8) 
+>  <alt>  (13) 
  
 
->  <chain>  (8) 
+>  <chain>  (13) 
 A
 
->  <atom.prop.subpocket>  (8) 
+>  <atom.prop.subpocket>  (13) 
 AP AP AP AP AP AP AP AP AP AP AP AP FP SE
 
->  <atom.prop.environment>  (8) 
-3 16 16 16 16 5 5 5 16 16 16 16 na na
+>  <atom.prop.environment>  (13) 
+3 16 16 16 14 5 5 5 16 16 16 16 na na
 
 $$$$
 4dce_chainA
@@ -558,35 +909,35 @@ $$$$
   8  9  1  0
   8 10  2  0
  10 11  1  0
-  1 12  1  0
+ 12  1  1  0
 V   11 *
 V   12 *
 M  END
->  <kinase>  (9) 
+>  <kinase>  (14) 
 ALK
 
->  <family>  (9) 
+>  <family>  (14) 
 ALK
 
->  <group>  (9) 
+>  <group>  (14) 
 TK
 
->  <complex_pdb>  (9) 
+>  <complex_pdb>  (14) 
 4dce
 
->  <ligand_pdb>  (9) 
+>  <ligand_pdb>  (14) 
 0JF
 
->  <alt>  (9) 
+>  <alt>  (14) 
  
 
->  <chain>  (9) 
+>  <chain>  (14) 
 A
 
->  <atom.prop.subpocket>  (9) 
+>  <atom.prop.subpocket>  (14) 
 AP AP AP AP AP AP AP AP AP AP FP SE
 
->  <atom.prop.environment>  (9) 
+>  <atom.prop.environment>  (14) 
 5 5 14 14 14 14 14 14 14 14 na na
 
 $$$$
@@ -625,502 +976,916 @@ $$$$
  12 13  1  0
  12 14  2  0
  14 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   16 *
 M  END
->  <kinase>  (10) 
+>  <kinase>  (15) 
 ALK
 
->  <family>  (10) 
+>  <family>  (15) 
 ALK
 
->  <group>  (10) 
+>  <group>  (15) 
 TK
 
->  <complex_pdb>  (10) 
+>  <complex_pdb>  (15) 
 4foc
 
->  <ligand_pdb>  (10) 
+>  <ligand_pdb>  (15) 
 0UU
 
->  <alt>  (10) 
+>  <alt>  (15) 
  
 
->  <chain>  (10) 
+>  <chain>  (15) 
 A
 
->  <atom.prop.subpocket>  (10) 
+>  <atom.prop.subpocket>  (15) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (10) 
-5 5 6 6 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (15) 
+5 5 1 1 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-6gin_altB_chainB
+3oom_altA_chainA
      RDKit          3D
 
- 17 18  0  0  0  0  0  0  0  0999 V2000
-   -1.7320   18.2058   45.4914 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3595   18.2263   46.3702 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6033   19.3868   43.6155 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3108   20.6138   42.9368 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6988   21.5461   43.3198 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4750   20.6092   41.7801 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6875   21.5370   41.2697 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9851   19.4102   41.2839 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7045   18.2052   41.9845 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1285   17.2754   41.6353 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1261   18.2070   43.1381 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4370   16.9349   43.8544 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2053   16.9708   45.0079 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4183   19.4154   44.7974 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0093   15.8880   43.4526 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5978   15.8309   45.7283 *   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7833   19.4171   40.1044 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+   -1.2779   16.5360   45.2280 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6942   15.8679   45.9674 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4234   17.9060   45.3528 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9710   18.3379   46.1774 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1199   20.2971   43.0754 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0707   21.2873   42.6885 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7979   20.0290   44.2048 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0448   16.8725   43.2298 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4150   14.7094   44.0507 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1772   14.2516   44.9190 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5830   16.0358   44.1284 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2845   19.1580   42.5003 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8399   18.7052   44.3795 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1601   18.0990   43.3101 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5272   13.8251   42.8831 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0547   19.0370   41.3241 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1 13  1  0
-  1 14  2  0
-  3  4  2  0
-  3 11  1  0
-  3 14  1  0
-  4  5  1  0
-  4  6  1  0
-  6  7  1  0
-  6  8  2  0
-  8  9  1  0
+  1  3  2  0
+  1 11  1  0
+  3  4  1  0
+  3 13  1  0
+  5  6  1  0
+  5  7  1  0
+  5 12  2  0
+  7 13  2  0
+  8 11  2  0
+  8 14  1  0
   9 10  1  0
-  9 11  2  0
- 11 12  1  0
- 12 13  1  0
- 12 15  2  0
- 13 16  1  0
-  8 17  1  0
+  9 11  1  0
+ 12 14  1  0
+ 13 14  1  0
+  9 15  1  0
+ 16 12  1  0
+V   15 *
 V   16 *
-V   17 *
 M  END
->  <kinase>  (11) 
+>  <kinase>  (16) 
 ALK2
 
->  <family>  (11) 
+>  <family>  (16) 
 STKR
 
->  <group>  (11) 
+>  <group>  (16) 
 TKL
 
->  <complex_pdb>  (11) 
-6gin
+>  <complex_pdb>  (16) 
+3oom
 
->  <ligand_pdb>  (11) 
-IR2
+>  <ligand_pdb>  (16) 
+507
 
->  <alt>  (11) 
-B
+>  <alt>  (16) 
+A
 
->  <chain>  (11) 
-B
+>  <chain>  (16) 
+A
 
->  <atom.prop.subpocket>  (11) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
+>  <atom.prop.subpocket>  (16) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP GA
 
->  <atom.prop.environment>  (11) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (16) 
+14 14 14 14 14 14 14 14 5 5 14 14 14 14 na na
 
 $$$$
-3lau_chainA
+6gi6_chainA
      RDKit          3D
 
- 17 18  0  0  0  0  0  0  0  0999 V2000
-    0.0120   18.6785   43.3824 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6713   19.8264   42.7793 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8867   19.2297   44.4204 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3427   17.4107   42.8740 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1243   16.5315   43.2926 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5923   19.6746   41.7439 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0667   20.5492   41.3239 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1576   20.9026   43.4682 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4239   21.8600   43.2877 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7328   20.5450   44.4030 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.7792   18.4210   45.2914 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6996   18.8139   45.4272 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2865   17.2676   41.8129 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5234   16.2798   41.4462 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9179   18.3909   41.2315 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5700   17.2490   45.9334 *   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8892   18.2238   40.1020 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
+ 20 21  0  0  0  0  0  0  0  0999 V2000
+   -0.1824   20.0130   41.8783 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2433   20.1649   40.8864 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3888   20.5841   42.6102 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2192   20.3491   41.8841 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1266   18.5373   42.2324 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4308   17.5962   41.3420 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4487   16.2470   41.6856 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8494   15.5244   40.9901 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0409   15.8213   42.9074 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0082   14.7741   43.1693 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5855   16.7642   43.8140 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6354   18.0971   43.5017 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2294   19.0508   44.5238 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6456   17.1716   46.0376 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0197   16.8021   46.9810 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7056   18.5593   45.7419 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0968   19.1979   46.4195 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0870   16.2630   45.0803 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3163   20.2464   44.3345 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9170   17.8748   40.0620 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
   1  3  1  0
   1  4  1  0
-  2  6  1  0
-  2  8  1  0
-  3 10  2  0
-  3 11  1  0
-  4  5  1  0
-  4 13  2  0
+  1  5  1  0
+  5  6  2  0
+  5 12  1  0
   6  7  1  0
-  6 15  2  0
-  8  9  1  0
-  8 10  1  0
- 11 12  1  0
- 13 14  1  0
- 13 15  1  0
- 11 16  1  0
- 15 17  1  0
-V   16 *
-V   17 *
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  2  0
+ 11 18  1  0
+ 12 13  1  0
+ 13 16  1  0
+ 13 19  2  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 18  2  0
+ 16 17  1  0
+  6 20  1  0
+V   20 *
 M  END
->  <kinase>  (12) 
-AurA
+>  <kinase>  (17) 
+ALK2
 
->  <family>  (12) 
-Aur
+>  <family>  (17) 
+STKR
 
->  <group>  (12) 
-Other
+>  <group>  (17) 
+TKL
 
->  <complex_pdb>  (12) 
-3lau
+>  <complex_pdb>  (17) 
+6gi6
 
->  <ligand_pdb>  (12) 
-OFI
+>  <ligand_pdb>  (17) 
+EZB
 
->  <alt>  (12) 
+>  <alt>  (17) 
  
 
->  <chain>  (12) 
+>  <chain>  (17) 
 A
 
->  <atom.prop.subpocket>  (12) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
+>  <atom.prop.subpocket>  (17) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (12) 
-16 16 16 16 16 16 16 16 16 16 5 5 16 16 16 na na
+>  <atom.prop.environment>  (17) 
+8 8 8 8 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-3nrm_chainA
+6gin_altB_chainB
      RDKit          3D
 
- 14 15  0  0  0  0  0  0  0  0999 V2000
-   -0.1341   16.8477   42.7360 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4515   16.5901   41.8659 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0789   19.9264   44.2365 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6943   15.8314   43.5311 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5665   14.7885   43.2811 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3298   18.1626   43.0632 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5983   17.5514   44.9876 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0324   18.5397   44.1586 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1688   19.2600   42.3787 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4004   16.2123   44.6227 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3372   20.3199   43.1574 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1541   21.3577   42.9213 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3564   17.8652   46.1012 *   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9739   19.3097   41.0911 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+   -1.7320   18.2058   45.4914 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3595   18.2263   46.3702 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6033   19.3868   43.6155 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3108   20.6138   42.9368 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6988   21.5461   43.3198 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4750   20.6092   41.7801 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6875   21.5370   41.2697 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9851   19.4102   41.2839 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7045   18.2052   41.9845 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1285   17.2754   41.6353 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1261   18.2070   43.1381 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4370   16.9349   43.8544 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2053   16.9708   45.0079 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4183   19.4154   44.7974 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0093   15.8880   43.4526 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5978   15.8309   45.7283 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7833   19.4171   40.1044 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  4  2  0
-  1  6  1  0
-  3  8  2  0
+  1 13  1  0
+  1 14  2  0
+  3  4  2  0
   3 11  1  0
+  3 14  1  0
   4  5  1  0
-  4 10  1  0
-  6  8  1  0
-  6  9  1  0
-  7  8  1  0
-  7 10  2  0
+  4  6  1  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+  9 10  1  0
   9 11  2  0
  11 12  1  0
-  7 13  1  0
-  9 14  1  0
-V   13 *
-V   14 *
+ 12 13  1  0
+ 12 15  2  0
+ 16 13  1  0
+  8 17  1  0
+V   16 *
+V   17 *
 M  END
->  <kinase>  (13) 
-AurA
+>  <kinase>  (18) 
+ALK2
 
->  <family>  (13) 
-Aur
+>  <family>  (18) 
+STKR
 
->  <group>  (13) 
-Other
+>  <group>  (18) 
+TKL
 
->  <complex_pdb>  (13) 
-3nrm
+>  <complex_pdb>  (18) 
+6gin
 
->  <ligand_pdb>  (13) 
-NRM
+>  <ligand_pdb>  (18) 
+IR2
 
->  <alt>  (13) 
- 
+>  <alt>  (18) 
+B
 
->  <chain>  (13) 
-A
+>  <chain>  (18) 
+B
 
->  <atom.prop.subpocket>  (13) 
-AP AP AP AP AP AP AP AP AP AP AP AP SE GA
+>  <atom.prop.subpocket>  (18) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
 
->  <atom.prop.environment>  (13) 
-14 14 14 14 14 14 14 14 14 14 14 14 na na
+>  <atom.prop.environment>  (18) 
+9 9 9 9 9 9 9 16 9 9 9 9 9 9 9 na na
 
 $$$$
-5ew9_altA_chainA
+6zgc_chainA
      RDKit          3D
 
- 10 10  0  0  0  0  0  0  0  0999 V2000
-    0.2051   20.6578   43.3844 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3506   21.6398   42.9591 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7527   19.1300   44.6367 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8042   20.3843   44.2746 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5132   18.1710   43.9433 S   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0153   19.5957   43.0735 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8475   19.6364   42.3863 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6968   18.5642   45.5546 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.4299   19.1573   45.9165 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6512   17.1984   45.9835 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  4  1  0
-  1  6  2  0
-  3  4  2  0
-  3  5  1  0
-  3  8  1  0
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+   -1.1216   16.2698   45.3532 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3672   15.6449   44.2481 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2420   14.5726   44.2178 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1754   16.4291   43.2579 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0172   17.8481   43.3073 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5846   18.6966   42.2837 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3328   18.0601   41.1844 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4048   17.0527   41.1822 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4114   20.0554   42.3617 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2873   20.6023   43.3772 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4130   21.6747   43.4005 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8308   19.8718   44.3565 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6911   18.4378   44.3507 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2743   17.6154   45.3991 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8246   18.0736   46.2076 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6690   15.4272   46.3474 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9132   15.8699   42.1800 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9577   18.7728   40.1302 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 14  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
   5  6  1  0
+  5 13  1  0
   6  7  1  0
-  8  9  1  0
-  8 10  1  0
-V   10 *
+  6  9  2  0
+  7  8  1  0
+  9 10  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
+ 13 14  2  0
+ 14 15  1  0
+ 16  1  1  0
+  4 17  1  0
+  7 18  1  0
+V   16 *
+V   17 *
+V   18 *
 M  END
->  <kinase>  (14) 
-AurA
+>  <kinase>  (19) 
+ALK2
 
->  <family>  (14) 
-Aur
+>  <family>  (19) 
+STKR
 
->  <group>  (14) 
-Other
+>  <group>  (19) 
+TKL
 
->  <complex_pdb>  (14) 
-5ew9
+>  <complex_pdb>  (19) 
+6zgc
 
->  <ligand_pdb>  (14) 
-5VC
+>  <ligand_pdb>  (19) 
+H8H
 
->  <alt>  (14) 
+>  <alt>  (19) 
+ 
+
+>  <chain>  (19) 
 A
 
->  <chain>  (14) 
-A
-
->  <atom.prop.subpocket>  (14) 
-AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (19) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP GA
 
->  <atom.prop.environment>  (14) 
-14 14 14 14 14 14 14 5 5 na
+>  <atom.prop.environment>  (19) 
+16 16 16 16 16 14 5 5 16 16 16 16 16 16 16 na na na
 
 $$$$
-6gra_chainA
+2x6d_altB_chainA
      RDKit          3D
 
- 18 19  0  0  0  0  0  0  0  0999 V2000
-    0.0711   14.4653   44.4493 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0405   14.3429   44.9324 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6765   13.8763   44.9805 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3191   15.9105   44.5404 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4549   16.9309   43.9779 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3461   16.7101   43.4092 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0394   18.2197   44.1758 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6209   19.3761   43.7048 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1846   20.4467   44.2006 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5863   21.0219   43.3664 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4178   21.0977   44.8342 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2584   19.8884   44.9639 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0789   18.5255   44.9196 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8364   17.5515   45.4955 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.7167   17.7922   46.0730 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4312   16.2352   45.3102 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9958   15.4418   45.7772 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1727   13.9504   43.0812 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+   -1.8941   17.0396   45.7530 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9324   18.3631   45.6971 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5111   18.9563   46.2744 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9985   16.6333   44.8602 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4595   17.6615   44.2387 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0922   18.7849   44.7652 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8035   20.0216   44.3351 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1078   20.1804   43.3848 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3531   21.1826   43.0660 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7684   19.0989   42.7746 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0503   19.5895   41.4723 Br  0  0  0  0  0  0  0  0  0  0  0  0
+    0.4915   17.7981   43.2115 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0599   16.5763   42.6607 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5725   16.1833   46.6126 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  1  0
-  1  4  1  0
-  4  5  2  0
-  4 16  1  0
-  5  6  1  0
-  5  7  1  0
-  7  8  1  0
-  7 13  2  0
+  1  4  2  0
+  2  3  1  0
+  2  6  1  0
+  4  5  1  0
+  5  6  2  0
+  5 12  1  0
+  6  7  1  0
+  7  8  2  0
   8  9  1  0
-  9 10  1  0
-  9 11  1  0
-  9 12  1  0
+  8 10  1  0
+ 10 11  1  0
+ 10 12  2  0
  12 13  1  0
- 13 14  1  0
- 14 15  1  0
- 14 16  2  0
- 16 17  1  0
-  1 18  1  0
-V   18 *
+ 14  1  1  0
+V   13 *
+V   14 *
 M  END
->  <kinase>  (15) 
+>  <kinase>  (20) 
 AurA
 
->  <family>  (15) 
+>  <family>  (20) 
 Aur
 
->  <group>  (15) 
+>  <group>  (20) 
 Other
 
->  <complex_pdb>  (15) 
-6gra
+>  <complex_pdb>  (20) 
+2x6d
 
->  <ligand_pdb>  (15) 
-F8Z
+>  <ligand_pdb>  (20) 
+X6D
 
->  <alt>  (15) 
- 
+>  <alt>  (20) 
+B
 
->  <chain>  (15) 
+>  <chain>  (20) 
 A
 
->  <atom.prop.subpocket>  (15) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (20) 
+AP AP AP AP AP AP AP AP AP AP AP AP FP SE
 
->  <atom.prop.environment>  (15) 
-8 8 8 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (20) 
+14 16 16 16 16 16 16 16 16 16 16 16 na na
 
 $$$$
-6gr8_altA_chainA
+2xne_chainA
      RDKit          3D
 
- 15 16  0  0  0  0  0  0  0  0999 V2000
-    0.2261   16.5875   44.3120 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8209   17.6077   43.5711 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5697   17.3946   42.8226 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4192   18.8883   43.8293 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8463   20.0422   43.2206 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0034   21.0659   43.7357 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7248   21.3644   42.9750 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5943   21.9293   44.0281 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6859   20.5467   44.8691 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4983   19.1888   44.8071 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0774   18.2223   45.5541 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8080   18.4601   46.3130 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6929   16.9080   45.3047 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1208   16.1145   45.8993 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6050   15.1436   44.1338 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 13  1  0
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+   -1.3788   17.5903   45.0905 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6910   19.8625   41.6091 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    0.6192   19.6812   42.8583 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0250   20.6747   43.6397 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1939   21.7344   43.5172 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8120   20.1154   44.5951 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7509   18.7597   44.4233 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1453   18.4585   43.3340 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4458   17.1692   42.8810 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1207   17.0062   42.0538 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1565   16.1155   43.5356 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0542   16.3743   44.6148 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3312   17.6610   46.2380 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1584   14.6975   43.0458 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  7  1  0
+  1 12  2  0
   2  3  1  0
-  2  4  1  0
+  3  4  2  0
+  3  8  1  0
   4  5  1  0
-  4 10  2  0
-  5  6  1  0
-  6  7  1  0
-  6  8  1  0
-  6  9  1  0
+  4  6  1  0
+  6  7  2  0
+  7  8  1  0
+  8  9  1  0
   9 10  1  0
- 10 11  1  0
+  9 11  2  0
  11 12  1  0
- 11 13  2  0
- 13 14  1  0
-  1 15  1  0
-V   15 *
+  1 13  1  0
+ 11 14  1  0
+V   13 *
+V   14 *
 M  END
->  <kinase>  (16) 
-AurC
+>  <kinase>  (21) 
+AurA
 
->  <family>  (16) 
+>  <family>  (21) 
 Aur
 
->  <group>  (16) 
+>  <group>  (21) 
 Other
 
->  <complex_pdb>  (16) 
-6gr8
+>  <complex_pdb>  (21) 
+2xne
 
->  <ligand_pdb>  (16) 
-F8Z
+>  <ligand_pdb>  (21) 
+ASH
 
->  <alt>  (16) 
-A
+>  <alt>  (21) 
+ 
 
->  <chain>  (16) 
+>  <chain>  (21) 
 A
 
->  <atom.prop.subpocket>  (16) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (21) 
+AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (16) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (21) 
+14 14 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
-3krw_chainA
+3lau_chainA
      RDKit          3D
 
- 13 13  0  0  0  0  0  0  0  0999 V2000
-    0.9368   18.7724   41.4213 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0570   20.1197   41.0848 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2879   20.3973   40.0670 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8826   21.1114   42.0462 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9799   22.1515   41.7721 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5839   20.7648   43.3558 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4124   21.7259   44.2956 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5151   22.6262   43.9787 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4583   19.4276   43.7036 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2241   19.1555   44.7222 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6334   18.4374   42.7441 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5340   17.3988   43.0233 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1258   17.7188   40.3547 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+    0.0120   18.6785   43.3824 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6713   19.8264   42.7793 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8867   19.2297   44.4204 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3427   17.4107   42.8740 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1243   16.5315   43.2926 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5923   19.6746   41.7439 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0667   20.5492   41.3239 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1576   20.9026   43.4682 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4239   21.8600   43.2877 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7328   20.5450   44.4030 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7792   18.4210   45.2914 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6996   18.8139   45.4272 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2865   17.2676   41.8129 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5234   16.2798   41.4462 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9179   18.3909   41.2315 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5700   17.2490   45.9334 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8892   18.2238   40.1020 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
-  1 11  1  0
-  2  3  1  0
-  2  4  1  0
+  1  3  1  0
+  1  4  1  0
+  2  6  1  0
+  2  8  1  0
+  3 10  2  0
+  3 11  1  0
   4  5  1  0
-  4  6  2  0
+  4 13  2  0
   6  7  1  0
-  6  9  1  0
-  7  8  1  0
-  9 10  1  0
-  9 11  2  0
+  6 15  2  0
+  8  9  1  0
+  8 10  1  0
  11 12  1  0
-  1 13  1  0
-V   13 *
+ 13 14  1  0
+ 13 15  1  0
+ 11 16  1  0
+ 15 17  1  0
+V   16 *
+V   17 *
 M  END
->  <kinase>  (17) 
-BARK1
+>  <kinase>  (22) 
+AurA
 
->  <family>  (17) 
-GRK
+>  <family>  (22) 
+Aur
 
->  <group>  (17) 
-AGC
+>  <group>  (22) 
+Other
 
->  <complex_pdb>  (17) 
-3krw
+>  <complex_pdb>  (22) 
+3lau
 
->  <ligand_pdb>  (17) 
-BA1
+>  <ligand_pdb>  (22) 
+OFI
 
->  <alt>  (17) 
+>  <alt>  (22) 
  
 
->  <chain>  (17) 
+>  <chain>  (22) 
 A
 
->  <atom.prop.subpocket>  (17) 
-AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (22) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
 
->  <atom.prop.environment>  (17) 
-16 16 16 16 16 16 3 3 16 16 16 16 na
+>  <atom.prop.environment>  (22) 
+14 14 14 14 14 14 14 14 14 14 5 5 14 14 16 na na
 
 $$$$
-4pnk_altA_chainA
+3myg_chainA
      RDKit          3D
 
- 15 16  0  0  0  0  0  0  0  0999 V2000
-   -0.1026   19.6223   44.4431 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5290   19.1031   45.2887 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1059   20.9629   44.3210 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1265   21.6519   45.0220 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6484   21.2244   43.1681 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8247   20.1019   42.4736 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3595   19.0457   43.2212 C   0  0  0  0  0  0  0  0  0  0  0  0
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+    0.0128   16.6376   42.5807 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6342   16.4110   41.7269 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0957   19.6964   44.1530 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5782   15.6423   43.3221 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2221   17.9373   42.9743 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5688   17.3016   44.8203 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9812   18.3050   44.0467 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2199   19.0763   42.3354 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3735   16.0002   44.4018 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3573   20.1194   43.1062 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2170   21.1647   42.8738 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3741   14.2010   43.0075 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9320   13.5915   43.7183 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6868   13.9607   43.0770 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7276   13.9961   41.9970 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3505   17.6046   45.9260 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0313   19.1734   41.0571 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  4  2  0
+  1  5  1  0
+  3  7  2  0
+  3 10  1  0
+  4  9  1  0
+  4 12  1  0
+  5  7  1  0
+  5  8  1  0
+  6  7  1  0
+  6  9  2  0
+  8 10  2  0
+ 10 11  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 12 15  1  0
+ 16  6  1  0
+ 17  8  1  0
+V   16 *
+V   17 *
+M  END
+>  <kinase>  (23) 
+AurA
+
+>  <family>  (23) 
+Aur
+
+>  <group>  (23) 
+Other
+
+>  <complex_pdb>  (23) 
+3myg
+
+>  <ligand_pdb>  (23) 
+EML
+
+>  <alt>  (23) 
+ 
+
+>  <chain>  (23) 
+A
+
+>  <atom.prop.subpocket>  (23) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
+
+>  <atom.prop.environment>  (23) 
+14 14 14 14 14 14 14 14 14 14 14 8 8 8 8 na na
+
+$$$$
+3nrm_chainA
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+   -0.1341   16.8477   42.7360 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4515   16.5901   41.8659 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0789   19.9264   44.2365 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6943   15.8314   43.5311 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5665   14.7885   43.2811 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3298   18.1626   43.0632 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5983   17.5514   44.9876 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0324   18.5397   44.1586 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1688   19.2600   42.3787 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4004   16.2123   44.6227 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3372   20.3199   43.1574 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1541   21.3577   42.9213 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3564   17.8652   46.1012 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9739   19.3097   41.0911 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  4  2  0
+  1  6  1  0
+  3  8  2  0
+  3 11  1  0
+  4  5  1  0
+  4 10  1  0
+  6  8  1  0
+  6  9  1  0
+  7  8  1  0
+  7 10  2  0
+  9 11  2  0
+ 11 12  1  0
+ 13  7  1  0
+ 14  9  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (24) 
+AurA
+
+>  <family>  (24) 
+Aur
+
+>  <group>  (24) 
+Other
+
+>  <complex_pdb>  (24) 
+3nrm
+
+>  <ligand_pdb>  (24) 
+NRM
+
+>  <alt>  (24) 
+ 
+
+>  <chain>  (24) 
+A
+
+>  <atom.prop.subpocket>  (24) 
+AP AP AP AP AP AP AP AP AP AP AP AP SE GA
+
+>  <atom.prop.environment>  (24) 
+14 14 14 14 14 14 14 14 14 14 14 14 na na
+
+$$$$
+5ew9_altA_chainA
+     RDKit          3D
+
+ 10 10  0  0  0  0  0  0  0  0999 V2000
+    0.2051   20.6578   43.3844 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3506   21.6398   42.9591 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7527   19.1300   44.6367 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8042   20.3843   44.2746 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5132   18.1710   43.9433 S   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0153   19.5957   43.0735 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8475   19.6364   42.3863 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6968   18.5642   45.5546 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4299   19.1573   45.9165 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6512   17.1984   45.9835 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  4  1  0
+  1  6  2  0
+  3  4  2  0
+  3  5  1  0
+  3  8  1  0
+  5  6  1  0
+  6  7  1  0
+  8  9  1  0
+ 10  8  1  0
+V   10 *
+M  END
+>  <kinase>  (25) 
+AurA
+
+>  <family>  (25) 
+Aur
+
+>  <group>  (25) 
+Other
+
+>  <complex_pdb>  (25) 
+5ew9
+
+>  <ligand_pdb>  (25) 
+5VC
+
+>  <alt>  (25) 
+A
+
+>  <chain>  (25) 
+A
+
+>  <atom.prop.subpocket>  (25) 
+AP AP AP AP AP AP AP AP AP SE
+
+>  <atom.prop.environment>  (25) 
+14 14 14 14 14 14 14 5 5 na
+
+$$$$
+6gra_chainA
+     RDKit          3D
+
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    0.0711   14.4653   44.4493 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0405   14.3429   44.9324 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6765   13.8763   44.9805 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3191   15.9105   44.5404 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4549   16.9309   43.9779 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3461   16.7101   43.4092 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0394   18.2197   44.1758 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6209   19.3761   43.7048 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1846   20.4467   44.2006 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5863   21.0219   43.3664 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4178   21.0977   44.8342 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2584   19.8884   44.9639 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0789   18.5255   44.9196 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8364   17.5515   45.4955 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7167   17.7922   46.0730 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4312   16.2352   45.3102 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9958   15.4418   45.7772 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1727   13.9504   43.0812 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  4  5  2  0
+  4 16  1  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7 13  2  0
+  8  9  1  0
+  9 10  1  0
+  9 11  1  0
+  9 12  1  0
+ 12 13  1  0
+ 13 14  1  0
+ 14 15  1  0
+ 14 16  2  0
+ 16 17  1  0
+ 18  1  1  0
+V   18 *
+M  END
+>  <kinase>  (26) 
+AurA
+
+>  <family>  (26) 
+Aur
+
+>  <group>  (26) 
+Other
+
+>  <complex_pdb>  (26) 
+6gra
+
+>  <ligand_pdb>  (26) 
+F8Z
+
+>  <alt>  (26) 
+ 
+
+>  <chain>  (26) 
+A
+
+>  <atom.prop.subpocket>  (26) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (26) 
+4 4 4 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+6gr8_altA_chainA
+     RDKit          3D
+
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    0.2261   16.5875   44.3120 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8209   17.6077   43.5711 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5697   17.3946   42.8226 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4192   18.8883   43.8293 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8463   20.0422   43.2206 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0034   21.0659   43.7357 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7248   21.3644   42.9750 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5943   21.9293   44.0281 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6859   20.5467   44.8691 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4983   19.1888   44.8071 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0774   18.2223   45.5541 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8080   18.4601   46.3130 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6929   16.9080   45.3047 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1208   16.1145   45.8993 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6050   15.1436   44.1338 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 13  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4 10  2  0
+  5  6  1  0
+  6  7  1  0
+  6  8  1  0
+  6  9  1  0
+  9 10  1  0
+ 10 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 15  1  1  0
+V   15 *
+M  END
+>  <kinase>  (27) 
+AurC
+
+>  <family>  (27) 
+Aur
+
+>  <group>  (27) 
+Other
+
+>  <complex_pdb>  (27) 
+6gr8
+
+>  <ligand_pdb>  (27) 
+F8Z
+
+>  <alt>  (27) 
+A
+
+>  <chain>  (27) 
+A
+
+>  <atom.prop.subpocket>  (27) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (27) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+3krw_chainA
+     RDKit          3D
+
+ 13 13  0  0  0  0  0  0  0  0999 V2000
+    0.9368   18.7724   41.4213 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0570   20.1197   41.0848 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2879   20.3973   40.0670 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8826   21.1114   42.0462 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9799   22.1515   41.7721 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5839   20.7648   43.3558 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4124   21.7259   44.2956 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5151   22.6262   43.9787 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4583   19.4276   43.7036 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2241   19.1555   44.7222 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6334   18.4374   42.7441 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5340   17.3988   43.0233 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1258   17.7188   40.3547 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 11  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6  9  1  0
+  7  8  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 13  1  1  0
+V   13 *
+M  END
+>  <kinase>  (28) 
+BARK1
+
+>  <family>  (28) 
+GRK
+
+>  <group>  (28) 
+AGC
+
+>  <complex_pdb>  (28) 
+3krw
+
+>  <ligand_pdb>  (28) 
+BA1
+
+>  <alt>  (28) 
+ 
+
+>  <chain>  (28) 
+A
+
+>  <atom.prop.subpocket>  (28) 
+AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (28) 
+16 16 16 16 16 16 3 3 16 16 16 16 na
+
+$$$$
+4pnk_altA_chainA
+     RDKit          3D
+
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+   -0.1026   19.6223   44.4431 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5290   19.1031   45.2887 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1059   20.9629   44.3210 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1265   21.6519   45.0220 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6484   21.2244   43.1681 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8247   20.1019   42.4736 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3595   19.0457   43.2212 C   0  0  0  0  0  0  0  0  0  0  0  0
     1.3305   19.8910   41.2465 C   0  0  0  0  0  0  0  0  0  0  0  0
     1.6996   20.7070   40.6429 H   0  0  0  0  0  0  0  0  0  0  0  0
     1.3589   18.5981   40.7918 C   0  0  0  0  0  0  0  0  0  0  0  0
@@ -1131,689 +1896,1843 @@ $$$$
     0.9738   16.2567   40.9316 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  1  0
-  1  7  2  0
+  1  7  2  0
+  3  4  1  0
+  3  5  1  0
+  5  6  2  0
+  6  7  1  0
+  6  8  1  0
+  7 13  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 10 12  1  0
+ 12 13  2  0
+ 13 14  1  0
+ 12 15  1  0
+V   15 *
+M  END
+>  <kinase>  (29) 
+BARK1
+
+>  <family>  (29) 
+GRK
+
+>  <group>  (29) 
+AGC
+
+>  <complex_pdb>  (29) 
+4pnk
+
+>  <ligand_pdb>  (29) 
+KZQ
+
+>  <alt>  (29) 
+A
+
+>  <chain>  (29) 
+A
+
+>  <atom.prop.subpocket>  (29) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (29) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+5he1_altA_chainA
+     RDKit          3D
+
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    1.6356   17.9511   40.7857 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9405   17.9453   41.9979 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6606   17.0087   42.4570 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6111   19.1441   42.6092 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0676   19.3650   43.8415 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4335   18.6014   44.5119 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1717   20.6913   44.0214 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4503   21.2392   42.8851 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5247   22.2333   42.7231 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9307   20.3304   42.0446 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6005   20.3780   40.8574 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8573   21.3285   40.4135 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9473   19.1962   40.2280 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4709   19.2352   39.2843 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0232   16.8413   40.0766 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 13  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4 10  2  0
+  5  6  1  0
+  5  7  2  0
+  7  8  1  0
+  8  9  1  0
+  8 10  1  0
+ 10 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 15  1  1  0
+V   15 *
+M  END
+>  <kinase>  (30) 
+BARK1
+
+>  <family>  (30) 
+GRK
+
+>  <group>  (30) 
+AGC
+
+>  <complex_pdb>  (30) 
+5he1
+
+>  <ligand_pdb>  (30) 
+ZS2
+
+>  <alt>  (30) 
+A
+
+>  <chain>  (30) 
+A
+
+>  <atom.prop.subpocket>  (30) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (30) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+3c4c_chainA
+     RDKit          3D
+
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    1.4578   19.5661   41.5254 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2158   20.9530   41.5964 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5852   21.6875   40.8961 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7602   18.9097   42.6660 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5773   17.6354   43.1746 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0184   16.7706   42.7015 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1592   20.0326   43.3146 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4411   21.2233   42.6889 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1302   22.1376   42.9847 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5691   19.8696   44.4246 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7614   18.6551   44.9317 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3587   18.5490   45.8253 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2156   17.5162   44.3450 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5552   16.0177   45.1394 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    2.2327   18.8424   40.4965 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  4  1  0
+  2  3  1  0
+  2  8  1  0
+  4  5  2  0
+  4  7  1  0
+  5  6  1  0
+  5 13  1  0
+  7  8  1  0
+  7 10  2  0
+  8  9  1  0
+ 10 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 15  1  1  0
+V   15 *
+M  END
+>  <kinase>  (31) 
+BRAF
+
+>  <family>  (31) 
+RAF
+
+>  <group>  (31) 
+TKL
+
+>  <complex_pdb>  (31) 
+3c4c
+
+>  <ligand_pdb>  (31) 
+324
+
+>  <alt>  (31) 
+ 
+
+>  <chain>  (31) 
+A
+
+>  <atom.prop.subpocket>  (31) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+
+>  <atom.prop.environment>  (31) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+3ppj_chainB
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+   -0.1691   20.6240   42.7354 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0903   21.6784   42.5155 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8765   20.2157   43.8223 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9633   18.8849   44.0861 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5196   18.5486   44.9486 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3496   17.9551   43.2660 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3532   18.3421   42.1965 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4642   19.6857   41.8903 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0224   20.0106   41.0247 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8525   17.1042   41.5746 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3677   16.0616   42.3910 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3773   16.6060   43.4414 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6202   16.9241   40.4577 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4796   14.6255   42.3555 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  8  1  0
+  3  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6 12  1  0
+  7  8  2  0
+  7 10  1  0
+  8  9  1  0
+ 10 11  2  0
+ 11 12  1  0
+ 10 13  1  0
+ 11 14  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (32) 
+BRAF
+
+>  <family>  (32) 
+RAF
+
+>  <group>  (32) 
+TKL
+
+>  <complex_pdb>  (32) 
+3ppj
+
+>  <ligand_pdb>  (32) 
+FOI
+
+>  <alt>  (32) 
+ 
+
+>  <chain>  (32) 
+B
+
+>  <atom.prop.subpocket>  (32) 
+AP AP AP AP AP AP AP AP AP AP AP AP GA FP
+
+>  <atom.prop.environment>  (32) 
+16 16 16 16 16 16 16 16 16 16 14 16 na na
+
+$$$$
+3psb_chainA
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    1.0952   16.9561   41.4753 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5782   18.0996   42.2250 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0653   17.7494   43.4800 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1783   16.0338   43.8204 S   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9249   15.7677   42.2518 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5383   19.4589   41.8426 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9212   19.7798   40.8852 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0196   20.3873   42.7542 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0552   21.4281   42.4681 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5100   20.0379   43.9643 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4742   18.7377   44.3338 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8649   18.4494   45.2985 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6622   17.0153   40.1921 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2871   14.4206   41.9099 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  5  2  0
+  2  3  2  0
+  2  6  1  0
+  3  4  1  0
+  3 11  1  0
+  4  5  1  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+  8 10  1  0
+ 10 11  2  0
+ 11 12  1  0
+ 13  1  1  0
+  5 14  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (33) 
+BRAF
+
+>  <family>  (33) 
+RAF
+
+>  <group>  (33) 
+TKL
+
+>  <complex_pdb>  (33) 
+3psb
+
+>  <ligand_pdb>  (33) 
+SM6
+
+>  <alt>  (33) 
+ 
+
+>  <chain>  (33) 
+A
+
+>  <atom.prop.subpocket>  (33) 
+AP AP AP AP AP AP AP AP AP AP AP AP GA FP
+
+>  <atom.prop.environment>  (33) 
+16 16 16 16 14 16 16 16 16 16 16 16 na na
+
+$$$$
+4cqe_chainB
+     RDKit          3D
+
+ 18 18  0  0  0  0  0  0  0  0999 V2000
+    1.1756   19.0452   42.3859 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6896   18.5306   43.6058 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7730   17.4719   43.8022 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0202   20.4060   42.1041 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3449   20.8125   41.1576 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4399   21.2257   43.0654 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3460   22.2850   42.8773 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0254   20.6927   44.2775 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0956   19.3687   44.5779 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4154   18.9522   45.7750 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7044   19.6596   46.4354 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5616   17.6443   46.1384 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1338   16.6920   45.5002 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2720   17.3811   47.4877 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5889   18.3291   47.9224 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5839   16.8809   48.1692 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1436   16.7480   47.3220 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6954   18.1960   41.4864 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  4  1  0
+  2  3  1  0
+  2  9  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6  8  1  0
+  8  9  2  0
+  9 10  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 12 13  2  0
+ 12 14  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18  1  1  0
+V   18 *
+M  END
+>  <kinase>  (34) 
+BRAF
+
+>  <family>  (34) 
+RAF
+
+>  <group>  (34) 
+TKL
+
+>  <complex_pdb>  (34) 
+4cqe
+
+>  <ligand_pdb>  (34) 
+CQE
+
+>  <alt>  (34) 
+ 
+
+>  <chain>  (34) 
+B
+
+>  <atom.prop.subpocket>  (34) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (34) 
+16 14 14 14 14 14 14 14 14 5 5 1 1 1 1 1 1 na
+
+$$$$
+4e26_chainB
+     RDKit          3D
+
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+   -0.0605   16.7760   43.5519 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3857   15.9232   42.5578 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1929   16.4058   41.5340 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5394   15.7385   40.7587 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5535   17.7477   41.5091 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1044   18.6040   42.5064 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4583   19.9462   42.4901 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0853   20.3391   41.7034 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9928   20.7750   43.5017 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2539   21.8229   43.5095 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1877   20.2463   44.5054 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1754   20.8886   45.2941 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2975   18.1192   43.5301 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1411   18.9484   44.5026 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8518   16.2992   44.5529 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1202   16.9518   45.2037 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5951   18.3748   40.1884 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    0.0036   14.4932   42.5841 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 13  1  0
+  1 15  1  0
+  2  3  1  0
+  3  4  1  0
+  3  5  2  0
+  5  6  1  0
+  5 17  1  0
+  6  7  1  0
+  6 13  2  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 14  2  0
+ 13 14  1  0
+ 15 16  1  0
+  2 18  1  0
+V   18 *
+M  END
+>  <kinase>  (35) 
+BRAF
+
+>  <family>  (35) 
+RAF
+
+>  <group>  (35) 
+TKL
+
+>  <complex_pdb>  (35) 
+4e26
+
+>  <ligand_pdb>  (35) 
+734
+
+>  <alt>  (35) 
+ 
+
+>  <chain>  (35) 
+B
+
+>  <atom.prop.subpocket>  (35) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (35) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 3 3 16 na
+
+$$$$
+4mbj_chainB
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    0.4411   18.1383   43.6833 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3405   19.1609   44.1798 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4030   20.3859   43.6710 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3888   20.5752   42.5819 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3741   21.5563   42.1307 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2074   19.6335   42.0007 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2481   18.3792   42.5440 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8701   17.6038   42.1218 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2945   16.9794   44.4284 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7305   16.0763   44.3079 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5814   17.3856   45.3487 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9420   16.7283   46.1262 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9878   18.6627   45.2494 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9946   20.0002   40.8834 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  7  2  0
+  1  9  1  0
+  2  3  2  0
+  2 13  1  0
+  3  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  7  8  1  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+  6 14  1  0
+V   14 *
+M  END
+>  <kinase>  (36) 
+BRAF
+
+>  <family>  (36) 
+RAF
+
+>  <group>  (36) 
+TKL
+
+>  <complex_pdb>  (36) 
+4mbj
+
+>  <ligand_pdb>  (36) 
+DFS
+
+>  <alt>  (36) 
+ 
+
+>  <chain>  (36) 
+B
+
+>  <atom.prop.subpocket>  (36) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+
+>  <atom.prop.environment>  (36) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+5fd2_chainA
+     RDKit          3D
+
+ 13 14  0  0  0  0  0  0  0  0999 V2000
+    0.6426   18.4657   42.3444 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8147   19.7892   42.2402 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2310   20.6345   43.0663 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4127   21.6926   42.9485 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5675   20.2261   44.0315 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8093   18.9251   44.1994 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2216   18.0055   43.3481 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6327   16.7955   43.7545 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3661   15.9154   43.3368 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4487   16.9402   44.7972 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9393   16.1396   45.3309 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5576   18.2442   45.0712 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2484   17.6045   41.4053 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  7  1  0
+  2  3  1  0
+  3  4  1  0
+  3  5  2  0
+  5  6  1  0
+  6  7  2  0
+  6 12  1  0
+  7  8  1  0
+  8  9  1  0
+  8 10  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 13  1  1  0
+V   13 *
+M  END
+>  <kinase>  (37) 
+BRAF
+
+>  <family>  (37) 
+RAF
+
+>  <group>  (37) 
+TKL
+
+>  <complex_pdb>  (37) 
+5fd2
+
+>  <ligand_pdb>  (37) 
+5XJ
+
+>  <alt>  (37) 
+ 
+
+>  <chain>  (37) 
+A
+
+>  <atom.prop.subpocket>  (37) 
+AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (37) 
+14 14 14 14 14 14 14 14 14 14 14 14 na
+
+$$$$
+4ot5_chainA
+     RDKit          3D
+
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    1.0480   16.5800   43.0771 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1236   16.5137   44.1308 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2925   17.7749   42.4457 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9527   17.8077   41.5917 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6880   18.9506   42.9064 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1845   18.8752   43.9693 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6301   20.1423   44.2242 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0334   20.9969   43.3164 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1719   22.0670   43.2711 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7687   20.2518   42.4787 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3489   20.6212   41.6461 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4456   17.6533   44.5720 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3484   17.6532   45.6260 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7592   18.5517   45.8357 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7692   16.6236   46.4265 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6233   15.3241   42.5930 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  2 12  2  0
+  3  4  1  0
+  3  5  1  0
+  5  6  1  0
+  5 10  1  0
+  6  7  2  0
+  6 12  1  0
+  7  8  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 12 13  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 16  1  1  0
+V   15 *
+V   16 *
+M  END
+>  <kinase>  (38) 
+BTK
+
+>  <family>  (38) 
+Tec
+
+>  <group>  (38) 
+TK
+
+>  <complex_pdb>  (38) 
+4ot5
+
+>  <ligand_pdb>  (38) 
+481
+
+>  <alt>  (38) 
+ 
+
+>  <chain>  (38) 
+A
+
+>  <atom.prop.subpocket>  (38) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
+
+>  <atom.prop.environment>  (38) 
+14 14 14 14 14 14 14 14 14 14 14 14 5 5 na na
+
+$$$$
+4otq_chainA
+     RDKit          3D
+
+ 17 17  0  0  0  0  0  0  0  0999 V2000
+   -0.3678   19.1037   44.0725 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6777   17.8044   44.5189 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0807   16.6828   43.9916 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3362   15.6957   44.3475 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9057   16.8696   42.9393 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1729   18.1636   42.5170 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8917   18.3028   41.7231 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5811   19.2647   43.0460 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9024   20.0990   44.5289 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8377   20.5802   42.4800 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2767   21.3309   43.0366 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5256   20.5936   41.4357 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9031   20.8016   42.5437 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6513   17.7676   45.5579 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1747   18.6169   45.7152 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9490   16.7224   46.3530 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5559   15.6799   42.3546 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  8  1  0
+  1  9  2  0
+  2  3  2  0
+  2 14  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  2  0
+  6  7  1  0
+  6  8  1  0
+  8 10  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 14 15  1  0
+ 14 16  1  0
+  5 17  1  0
+V   16 *
+V   17 *
+M  END
+>  <kinase>  (39) 
+BTK
+
+>  <family>  (39) 
+Tec
+
+>  <group>  (39) 
+TK
+
+>  <complex_pdb>  (39) 
+4otq
+
+>  <ligand_pdb>  (39) 
+2V2
+
+>  <alt>  (39) 
+ 
+
+>  <chain>  (39) 
+A
+
+>  <atom.prop.subpocket>  (39) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
+
+>  <atom.prop.environment>  (39) 
+16 16 16 16 16 16 16 9 16 8 8 8 8 5 5 na na
+
+$$$$
+7kxo_altB_chainA
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    0.6215   17.9813   42.8961 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8588   19.3085   42.5261 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5202   19.5411   41.7046 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2273   20.3224   43.2355 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4139   21.3420   42.9323 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2332   17.7330   43.9832 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8023   18.8348   44.5972 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4953   16.9817   45.5214 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6003   20.1180   44.2741 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6245   18.3390   45.5670 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2116   18.8708   46.1936 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6661   16.5611   44.5789 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1322   16.1168   46.4744 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2120   16.8726   42.0977 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  6  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  9  2  0
+  6  7  2  0
+  6 12  1  0
+  7  9  1  0
+  7 10  1  0
+  8 10  1  0
+  8 12  2  0
+ 10 11  1  0
+  8 13  1  0
+ 14  1  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (40) 
+BTK
+
+>  <family>  (40) 
+Tec
+
+>  <group>  (40) 
+TK
+
+>  <complex_pdb>  (40) 
+7kxo
+
+>  <ligand_pdb>  (40) 
+X9S
+
+>  <alt>  (40) 
+B
+
+>  <chain>  (40) 
+A
+
+>  <atom.prop.subpocket>  (40) 
+AP AP AP AP AP AP AP AP AP AP AP AP SE FP
+
+>  <atom.prop.environment>  (40) 
+16 14 14 14 14 14 14 14 14 14 14 14 na na
+
+$$$$
+6f7b_altB_chainA
+     RDKit          3D
+
+ 17 17  0  0  0  0  0  0  0  0999 V2000
+   -1.8085   16.6449   43.4809 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7554   15.5653   43.3398 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8040   16.9979   43.2117 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6079   16.8852   44.5250 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8502   17.2731   42.6620 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6975   18.6315   42.6394 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2597   19.5120   43.5522 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8703   19.1305   44.3572 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0517   20.8341   43.4440 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2491   21.3321   42.5022 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0724   22.3967   42.4603 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3675   20.4909   41.5665 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0287   20.8978   40.8158 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1130   19.1113   41.6194 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6488   18.1416   40.8287 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4867   17.1944   41.1395 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3613   18.2584   39.6960 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  6  7  2  0
+  6 14  1  0
+  7  8  1  0
+  7  9  1  0
+  9 10  2  0
+ 10 11  1  0
+ 10 12  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 15 16  1  0
+ 17 15  1  0
+V   17 *
+M  END
+>  <kinase>  (41) 
+BUB1
+
+>  <family>  (41) 
+BUB
+
+>  <group>  (41) 
+Other
+
+>  <complex_pdb>  (41) 
+6f7b
+
+>  <ligand_pdb>  (41) 
+CVQ
+
+>  <alt>  (41) 
+B
+
+>  <chain>  (41) 
+A
+
+>  <atom.prop.subpocket>  (41) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (41) 
+3 3 3 3 3 16 16 16 16 16 16 16 16 16 5 5 na
+
+$$$$
+1h00_altB_chainA
+     RDKit          3D
+
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    0.1893   20.8387   42.1554 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2725   21.9113   42.2498 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6754   18.8657   42.9727 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0162   18.1470   41.9166 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0976   17.0742   41.8226 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7550   18.9286   40.9946 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8397   20.2689   41.1378 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5547   20.2068   43.0680 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5020   18.2074   43.9739 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8869   18.8619   44.6399 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4759   18.3483   39.8677 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9114   16.8344   44.2523 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  7  2  0
+  1  8  1  0
+  3  4  1  0
+  3  8  2  0
+  3  9  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  9 10  1  0
+  6 11  1  0
+ 12  9  1  0
+V   11 *
+V   12 *
+M  END
+>  <kinase>  (42) 
+CDK2
+
+>  <family>  (42) 
+CDK
+
+>  <group>  (42) 
+CMGC
+
+>  <complex_pdb>  (42) 
+1h00
+
+>  <ligand_pdb>  (42) 
+FCP
+
+>  <alt>  (42) 
+B
+
+>  <chain>  (42) 
+A
+
+>  <atom.prop.subpocket>  (42) 
+AP AP AP AP AP AP AP AP AP AP FP SE
+
+>  <atom.prop.environment>  (42) 
+14 14 14 14 14 14 14 14 5 5 na na
+
+$$$$
+1h08_altA_chainA
+     RDKit          3D
+
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+   -0.9843   19.6333   43.3470 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1862   20.2347   42.4303 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0144   21.2990   42.4934 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1643   18.3067   43.2362 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1692   18.0865   41.3587 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4338   19.4823   41.3786 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6252   17.5434   42.2830 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0149   17.6810   44.2297 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3887   18.3377   44.8999 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5591   20.3234   40.0827 Br  0  0  0  0  0  0  0  0  0  0  0  0
+    0.7602   17.2701   40.3080 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4503   16.3034   44.4731 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  4  1  0
+  2  3  1  0
+  2  6  1  0
+  4  7  2  0
+  4  8  1  0
+  5  6  2  0
+  5  7  1  0
+  6 10  1  0
+  8  9  1  0
+  5 11  1  0
+ 12  8  1  0
+V   11 *
+V   12 *
+M  END
+>  <kinase>  (43) 
+CDK2
+
+>  <family>  (43) 
+CDK
+
+>  <group>  (43) 
+CMGC
+
+>  <complex_pdb>  (43) 
+1h08
+
+>  <ligand_pdb>  (43) 
+BYP
+
+>  <alt>  (43) 
+A
+
+>  <chain>  (43) 
+A
+
+>  <atom.prop.subpocket>  (43) 
+AP AP AP AP AP AP AP AP AP AP FP SE
+
+>  <atom.prop.environment>  (43) 
+14 14 14 14 14 14 14 5 5 14 na na
+
+$$$$
+1y8y_chainA
+     RDKit          3D
+
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+   -1.5559   17.1010   44.0488 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5445   17.8914   44.6775 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7590   17.1580   42.9563 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3534   18.3735   42.5129 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4469   18.4715   41.4344 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8654   17.3562   40.7444 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0619   20.4972   42.1468 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1374   21.5703   42.2427 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6689   19.5690   42.9570 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2674   16.0055   42.3323 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5203   15.0280   42.7157 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5561   16.1319   41.2051 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0766   14.8875   40.4381 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    0.6723   19.8067   41.1743 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2832   20.2288   40.3900 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3796   16.0474   44.3663 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
   3  4  1  0
-  3  5  1  0
-  5  6  2  0
-  6  7  1  0
-  6  8  1  0
-  7 13  1  0
-  8  9  1  0
-  8 10  2  0
+  3 10  2  0
+  4  5  1  0
+  4  9  1  0
+  5  6  1  0
+  5 14  2  0
+  6 12  2  0
+  7  8  1  0
+  7  9  2  0
+  7 14  1  0
  10 11  1  0
  10 12  1  0
- 12 13  2  0
- 13 14  1  0
+ 12 13  1  0
+ 14 15  1  0
+ 16  1  1  0
+V   16 *
+M  END
+>  <kinase>  (44) 
+CDK2
+
+>  <family>  (44) 
+CDK
+
+>  <group>  (44) 
+CMGC
+
+>  <complex_pdb>  (44) 
+1y8y
+
+>  <ligand_pdb>  (44) 
+CT7
+
+>  <alt>  (44) 
+ 
+
+>  <chain>  (44) 
+A
+
+>  <atom.prop.subpocket>  (44) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+
+>  <atom.prop.environment>  (44) 
+5 5 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+
+$$$$
+1y91_chainA
+     RDKit          3D
+
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    0.5994   16.2186   41.7665 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2598   16.1864   42.8559 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5803   15.2435   43.2738 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0129   17.3865   41.2804 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5622   18.5034   41.8246 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8558   19.7829   41.4360 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1541   20.5910   42.3160 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1431   21.6709   42.3148 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2494   18.5236   42.8599 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5163   19.7886   43.1785 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7041   17.3938   43.4042 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5657   17.4652   44.4571 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6692   18.3480   44.9367 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1230   15.1095   41.2191 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2838   16.4141   44.8858 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7731   20.1539   40.3411 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  4  2  0
+  2  3  1  0
+  2 11  2  0
+  4  5  1  0
+  5  6  2  0
+  5  9  1  0
+  6  7  1  0
+  7  8  1  0
+  7 10  2  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 12 13  1  0
+ 14  1  1  0
  12 15  1  0
+  6 16  1  0
+V   14 *
 V   15 *
+V   16 *
 M  END
->  <kinase>  (18) 
-BARK1
+>  <kinase>  (45) 
+CDK2
 
->  <family>  (18) 
-GRK
+>  <family>  (45) 
+CDK
 
->  <group>  (18) 
-AGC
+>  <group>  (45) 
+CMGC
 
->  <complex_pdb>  (18) 
-4pnk
+>  <complex_pdb>  (45) 
+1y91
 
->  <ligand_pdb>  (18) 
-KZQ
+>  <ligand_pdb>  (45) 
+CT9
 
->  <alt>  (18) 
-A
+>  <alt>  (45) 
+ 
 
->  <chain>  (18) 
+>  <chain>  (45) 
 A
 
->  <atom.prop.subpocket>  (18) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (45) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP FP SE GA
 
->  <atom.prop.environment>  (18) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (45) 
+14 14 14 14 14 16 14 14 14 14 14 5 5 na na na
 
 $$$$
-5he1_altA_chainA
+2exm_chainA
      RDKit          3D
 
- 15 16  0  0  0  0  0  0  0  0999 V2000
-    1.6356   17.9511   40.7857 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9405   17.9453   41.9979 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6606   17.0087   42.4570 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6111   19.1441   42.6092 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0676   19.3650   43.8415 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4335   18.6014   44.5119 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1717   20.6913   44.0214 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4503   21.2392   42.8851 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5247   22.2333   42.7231 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9307   20.3304   42.0446 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6005   20.3780   40.8574 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8573   21.3285   40.4135 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9473   19.1962   40.2280 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4709   19.2352   39.2843 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0232   16.8413   40.0766 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 13 14  0  0  0  0  0  0  0  0999 V2000
+   -0.1714   17.0938   42.0663 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2707   18.4229   41.7310 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9067   18.9521   40.5875 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1455   19.4478   42.6479 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6171   20.5959   42.1232 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6071   21.5199   42.5310 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1093   20.2154   40.9156 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6323   20.9015   40.2659 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4634   19.1598   43.9172 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9020   17.9339   44.1209 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4113   17.7201   45.0490 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7545   16.9738   43.2676 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0621   15.9293   41.2316 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 12  1  0
+  2  3  1  0
+  2  4  1  0
+  3  7  2  0
+  4  5  1  0
+  4  9  2  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  9 10  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 13  1  1  0
+V   13 *
+M  END
+>  <kinase>  (46) 
+CDK2
+
+>  <family>  (46) 
+CDK
+
+>  <group>  (46) 
+CMGC
+
+>  <complex_pdb>  (46) 
+2exm
+
+>  <ligand_pdb>  (46) 
+ZIP
+
+>  <alt>  (46) 
+ 
+
+>  <chain>  (46) 
+A
+
+>  <atom.prop.subpocket>  (46) 
+AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (46) 
+14 14 14 14 14 14 14 14 14 14 14 14 na
+
+$$$$
+2r3j_altA_chainA
+     RDKit          3D
+
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    0.6846   19.6214   41.3726 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1966   18.3377   41.4229 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6562   18.3004   42.4854 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7319   19.5346   43.1127 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0687   20.3287   42.4117 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2237   21.3779   42.6154 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4878   17.2743   40.5990 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1116   16.1370   40.8858 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0153   16.0414   41.9886 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4817   15.0910   42.2022 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3132   17.1365   42.7966 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1685   17.1586   43.8809 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1078   17.9032   44.5605 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8715   20.2968   40.1254 Br  0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1715   16.0876   44.0409 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1715   14.9823   40.0223 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
-  1 13  1  0
+  1  5  1  0
+  1 14  1  0
   2  3  1  0
-  2  4  1  0
-  4  5  1  0
-  4 10  2  0
+  2  7  1  0
+  3  4  1  0
+  3 11  1  0
+  4  5  2  0
   5  6  1  0
-  5  7  2  0
-  7  8  1  0
+  7  8  2  0
   8  9  1  0
-  8 10  1  0
- 10 11  1  0
+  9 10  1  0
+  9 11  2  0
  11 12  1  0
- 11 13  2  0
- 13 14  1  0
-  1 15  1  0
+ 12 13  1  0
+ 12 15  1  0
+  8 16  1  0
 V   15 *
+V   16 *
 M  END
->  <kinase>  (19) 
-BARK1
+>  <kinase>  (47) 
+CDK2
 
->  <family>  (19) 
-GRK
+>  <family>  (47) 
+CDK
 
->  <group>  (19) 
-AGC
+>  <group>  (47) 
+CMGC
 
->  <complex_pdb>  (19) 
-5he1
+>  <complex_pdb>  (47) 
+2r3j
 
->  <ligand_pdb>  (19) 
-ZS2
+>  <ligand_pdb>  (47) 
+SCJ
 
->  <alt>  (19) 
+>  <alt>  (47) 
 A
 
->  <chain>  (19) 
+>  <chain>  (47) 
 A
 
->  <atom.prop.subpocket>  (19) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (47) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (19) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (47) 
+14 14 14 14 14 14 14 14 14 14 14 5 5 14 na na
 
 $$$$
-4cqe_chainB
+2r3l_altB_chainA
      RDKit          3D
 
- 18 18  0  0  0  0  0  0  0  0999 V2000
-    1.1756   19.0452   42.3859 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6896   18.5306   43.6058 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7730   17.4719   43.8022 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0202   20.4060   42.1041 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3449   20.8125   41.1576 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4399   21.2257   43.0654 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3460   22.2850   42.8773 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0254   20.6927   44.2775 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0956   19.3687   44.5779 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4154   18.9522   45.7750 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7044   19.6596   46.4354 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5616   17.6443   46.1384 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1338   16.6920   45.5002 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2720   17.3811   47.4877 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5889   18.3291   47.9224 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5839   16.8809   48.1692 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1436   16.7480   47.3220 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6954   18.1960   41.4864 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  4  1  0
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+    0.6180   19.5483   41.3617 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1354   18.2920   41.4650 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7235   18.2767   42.5216 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8141   19.5005   43.1183 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0162   20.2958   42.3810 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1841   21.3478   42.5585 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4075   17.1573   40.7011 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0953   17.2144   39.8705 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2030   15.9682   41.0100 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1076   15.9156   42.1081 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5864   14.9786   42.3516 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3918   17.0479   42.8796 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2820   17.1097   43.9152 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2702   17.8833   44.5643 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8427   20.1429   40.1052 Br  0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2615   16.0134   44.0582 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0248   14.7723   40.1577 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  5  2  0
+  1 15  1  0
   2  3  1  0
-  2  9  1  0
+  2  7  1  0
+  3  4  2  0
+  3 12  1  0
   4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6  8  1  0
-  8  9  2  0
+  5  6  1  0
+  7  8  1  0
+  7  9  2  0
   9 10  1  0
  10 11  1  0
- 10 12  1  0
- 12 13  2  0
- 12 14  1  0
- 14 15  1  0
- 14 16  1  0
- 14 17  1  0
-  1 18  1  0
-V   18 *
+ 10 12  2  0
+ 12 13  1  0
+ 13 14  1  0
+ 13 16  1  0
+  9 17  1  0
+V   16 *
+V   17 *
 M  END
->  <kinase>  (20) 
-BRAF
-
->  <family>  (20) 
-RAF
+>  <kinase>  (48) 
+CDK2
 
->  <group>  (20) 
-TKL
+>  <family>  (48) 
+CDK
 
->  <complex_pdb>  (20) 
-4cqe
+>  <group>  (48) 
+CMGC
 
->  <ligand_pdb>  (20) 
-CQE
+>  <complex_pdb>  (48) 
+2r3l
 
->  <alt>  (20) 
- 
+>  <ligand_pdb>  (48) 
+SCW
 
->  <chain>  (20) 
+>  <alt>  (48) 
 B
 
->  <atom.prop.subpocket>  (20) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <chain>  (48) 
+A
 
->  <atom.prop.environment>  (20) 
-16 16 16 16 16 16 16 16 16 5 5 1 1 1 1 1 1 na
+>  <atom.prop.subpocket>  (48) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
+
+>  <atom.prop.environment>  (48) 
+16 16 16 16 16 16 16 16 16 16 16 16 5 5 16 na na
 
 $$$$
-4e26_chainB
+2uzn_chainA
      RDKit          3D
 
- 18 19  0  0  0  0  0  0  0  0999 V2000
-   -0.0605   16.7760   43.5519 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3857   15.9232   42.5578 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1929   16.4058   41.5340 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5394   15.7385   40.7587 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5535   17.7477   41.5091 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1044   18.6040   42.5064 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4583   19.9462   42.4901 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0853   20.3391   41.7034 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9928   20.7750   43.5017 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2539   21.8229   43.5095 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1877   20.2463   44.5054 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1754   20.8886   45.2941 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2975   18.1192   43.5301 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1411   18.9484   44.5026 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8518   16.2992   44.5529 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1202   16.9518   45.2037 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5951   18.3748   40.1884 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    0.0036   14.4932   42.5841 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 13  1  0
-  1 15  1  0
-  2  3  1  0
+ 14 14  0  0  0  0  0  0  0  0999 V2000
+   -1.0327   17.2299   43.3732 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2524   17.2047   42.2516 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9245   18.4921   43.9483 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4026   18.8236   44.8582 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0866   19.2487   43.1345 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2033   20.2764   43.2962 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3100   18.4375   42.0725 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2268   18.7990   40.9656 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8151   20.1828   40.9022 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5492   20.7324   41.8052 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4220   20.7051   40.0300 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9001   20.1131   40.8255 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4241   17.9328   39.9546 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8175   16.0638   43.8876 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  2  7  1  0
   3  4  1  0
-  3  5  2  0
+  3  5  1  0
   5  6  1  0
-  5 17  1  0
-  6  7  1  0
-  6 13  2  0
+  5  7  2  0
   7  8  1  0
-  7  9  2  0
+  8  9  1  0
   9 10  1  0
   9 11  1  0
- 11 12  1  0
- 11 14  2  0
- 13 14  1  0
- 15 16  1  0
-  2 18  1  0
-V   18 *
+  9 12  1  0
+  8 13  2  0
+ 14  1  1  0
+V   13 *
+V   14 *
 M  END
->  <kinase>  (21) 
-BRAF
+>  <kinase>  (49) 
+CDK2
 
->  <family>  (21) 
-RAF
+>  <family>  (49) 
+CDK
 
->  <group>  (21) 
-TKL
+>  <group>  (49) 
+CMGC
 
->  <complex_pdb>  (21) 
-4e26
+>  <complex_pdb>  (49) 
+2uzn
 
->  <ligand_pdb>  (21) 
-734
+>  <ligand_pdb>  (49) 
+C96
 
->  <alt>  (21) 
+>  <alt>  (49) 
  
 
->  <chain>  (21) 
-B
+>  <chain>  (49) 
+A
 
->  <atom.prop.subpocket>  (21) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (49) 
+AP AP AP AP AP AP AP AP AP AP AP AP FP SE
 
->  <atom.prop.environment>  (21) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 3 3 16 na
+>  <atom.prop.environment>  (49) 
+14 7 7 7 7 7 7 7 7 7 7 7 na na
 
 $$$$
-4mbj_chainB
-     RDKit          3D
-
- 14 15  0  0  0  0  0  0  0  0999 V2000
-    0.4411   18.1383   43.6833 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3405   19.1609   44.1798 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4030   20.3859   43.6710 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3888   20.5752   42.5819 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3741   21.5563   42.1307 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2074   19.6335   42.0007 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2481   18.3792   42.5440 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8701   17.6038   42.1218 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2945   16.9794   44.4284 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7305   16.0763   44.3079 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5814   17.3856   45.3487 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9420   16.7283   46.1262 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9878   18.6627   45.2494 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9946   20.0002   40.8834 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  7  2  0
-  1  9  1  0
-  2  3  2  0
-  2 13  1  0
-  3  4  1  0
+2vv9_altB_chainA
+     RDKit          3D
+
+ 22 23  0  0  0  0  0  0  0  0999 V2000
+    0.8774   19.3255   41.1910 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6329   20.7155   41.2808 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0631   21.4116   40.5760 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1838   21.1423   42.3145 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3907   22.1953   42.4364 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7161   20.2589   43.1605 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5063   18.9520   43.0349 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1538   18.1801   43.9917 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5276   18.7017   44.7715 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3727   16.8053   44.0532 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1022   15.9016   43.0252 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6929   16.2440   42.0863 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3696   14.5482   43.2311 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1554   13.8455   42.4395 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9041   14.0766   44.4260 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1932   14.9798   45.4423 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6150   14.6397   46.3766 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9299   16.3279   45.2345 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1666   17.0311   46.0193 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3019   18.4661   42.0670 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2040   12.7056   44.6068 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7520   18.8134   40.1197 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 20  1  0
+  2  3  1  0
+  2  4  1  0
   4  5  1  0
   4  6  2  0
   6  7  1  0
   7  8  1  0
-  9 10  1  0
-  9 11  1  0
+  7 20  2  0
+  8  9  1  0
+  8 10  1  0
+ 10 11  2  0
+ 10 18  1  0
  11 12  1  0
- 11 13  2  0
-  6 14  1  0
-V   14 *
+ 11 13  1  0
+ 13 14  1  0
+ 13 15  2  0
+ 15 16  1  0
+ 16 17  1  0
+ 16 18  2  0
+ 18 19  1  0
+ 15 21  1  0
+ 22  1  1  0
+V   21 *
+V   22 *
 M  END
->  <kinase>  (22) 
-BRAF
-
->  <family>  (22) 
-RAF
+>  <kinase>  (50) 
+CDK2
 
->  <group>  (22) 
-TKL
+>  <family>  (50) 
+CDK
 
->  <complex_pdb>  (22) 
-4mbj
+>  <group>  (50) 
+CMGC
 
->  <ligand_pdb>  (22) 
-DFS
+>  <complex_pdb>  (50) 
+2vv9
 
->  <alt>  (22) 
- 
+>  <ligand_pdb>  (50) 
+IM9
 
->  <chain>  (22) 
+>  <alt>  (50) 
 B
 
->  <atom.prop.subpocket>  (22) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <chain>  (50) 
+A
 
->  <atom.prop.environment>  (22) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.subpocket>  (50) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
+
+>  <atom.prop.environment>  (50) 
+14 14 14 14 14 14 14 5 5 16 16 16 16 16 16 16 16 16 16 14 na na
 
 $$$$
-5fd2_chainA
+2w17_altA_chainA
      RDKit          3D
 
- 13 14  0  0  0  0  0  0  0  0999 V2000
-    0.6426   18.4657   42.3444 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8147   19.7892   42.2402 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2310   20.6345   43.0663 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4127   21.6926   42.9485 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5675   20.2261   44.0315 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8093   18.9251   44.1994 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2216   18.0055   43.3481 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6327   16.7955   43.7545 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3661   15.9154   43.3368 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4487   16.9402   44.7972 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9393   16.1396   45.3309 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5576   18.2442   45.0712 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2484   17.6045   41.4053 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    0.8700   19.3229   41.2498 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3033   18.5012   42.1425 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4373   19.0621   43.1094 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0808   18.3022   44.1058 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1653   18.7730   44.9953 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6256   20.3839   43.2339 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0519   21.1788   42.3351 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1946   22.2461   42.4177 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7095   20.6951   41.3139 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2442   21.5735   40.4505 F   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6263   17.0075   44.0856 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6907   18.7137   40.1542 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
-  1  7  1  0
+  1  9  1  0
   2  3  1  0
   3  4  1  0
-  3  5  2  0
-  5  6  1  0
-  6  7  2  0
-  6 12  1  0
+  3  6  2  0
+  4  5  1  0
+  6  7  1  0
   7  8  1  0
-  8  9  1  0
-  8 10  1  0
- 10 11  1  0
- 10 12  2  0
-  1 13  1  0
-V   13 *
+  7  9  2  0
+  9 10  1  0
+  4 11  1  0
+ 12  1  1  0
+V   11 *
+V   12 *
 M  END
->  <kinase>  (23) 
-BRAF
+>  <kinase>  (51) 
+CDK2
 
->  <family>  (23) 
-RAF
+>  <family>  (51) 
+CDK
 
->  <group>  (23) 
-TKL
+>  <group>  (51) 
+CMGC
 
->  <complex_pdb>  (23) 
-5fd2
+>  <complex_pdb>  (51) 
+2w17
 
->  <ligand_pdb>  (23) 
-5XJ
+>  <ligand_pdb>  (51) 
+I19
 
->  <alt>  (23) 
- 
+>  <alt>  (51) 
+A
 
->  <chain>  (23) 
+>  <chain>  (51) 
 A
 
->  <atom.prop.subpocket>  (23) 
-AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (51) 
+AP AP AP AP AP AP AP AP AP AP SE GA
 
->  <atom.prop.environment>  (23) 
-14 14 14 14 14 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (51) 
+14 14 14 5 5 14 14 14 14 14 na na
 
 $$$$
-4otq_chainA
+3bht_altB_chainC
      RDKit          3D
 
- 17 17  0  0  0  0  0  0  0  0999 V2000
-   -0.3678   19.1037   44.0725 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6777   17.8044   44.5189 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0807   16.6828   43.9916 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3362   15.6957   44.3475 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9057   16.8696   42.9393 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1729   18.1636   42.5170 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8917   18.3028   41.7231 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5811   19.2647   43.0460 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9024   20.0990   44.5289 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8377   20.5802   42.4800 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2767   21.3309   43.0366 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5256   20.5936   41.4357 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9031   20.8016   42.5437 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6513   17.7676   45.5579 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1747   18.6169   45.7152 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9490   16.7224   46.3530 *   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5559   15.6799   42.3546 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -0.0143   17.7788   43.2836 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1272   16.7521   43.5991 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6439   18.7893   44.0309 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2143   18.5041   44.9025 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7529   18.0532   42.1465 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5322   20.2385   40.7366 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0903   21.6674   40.9751 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3378   22.5169   40.3559 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3239   21.6992   42.1087 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0466   22.5436   42.5209 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7994   19.4821   41.7366 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3665   17.0511   41.4262 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4155   15.6948   41.8882 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9471   15.0820   41.1602 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4009   15.3157   42.0104 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9357   15.6554   42.8452 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1248   20.4566   42.6083 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5704   20.0965   43.7124 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0677   19.9231   39.3496 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  8  1  0
-  1  9  2  0
-  2  3  2  0
-  2 14  1  0
+  1  3  2  0
+  1  5  1  0
   3  4  1  0
-  3  5  1  0
-  5  6  2  0
-  6  7  1  0
-  6  8  1  0
-  8 10  1  0
- 10 11  1  0
- 10 12  1  0
- 10 13  1  0
- 14 15  1  0
- 14 16  1  0
-  5 17  1  0
-V   16 *
-V   17 *
+  3 18  1  0
+  5 11  2  0
+  5 12  1  0
+  6  7  2  0
+  6 11  1  0
+  7  8  1  0
+  7  9  1  0
+  9 10  1  0
+  9 17  1  0
+ 11 17  1  0
+ 12 13  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 16  1  0
+ 17 18  2  0
+ 19  6  1  0
+V   19 *
 M  END
->  <kinase>  (24) 
-BTK
+>  <kinase>  (52) 
+CDK2
 
->  <family>  (24) 
-Tec
+>  <family>  (52) 
+CDK
 
->  <group>  (24) 
-TK
+>  <group>  (52) 
+CMGC
 
->  <complex_pdb>  (24) 
-4otq
+>  <complex_pdb>  (52) 
+3bht
 
->  <ligand_pdb>  (24) 
-2V2
+>  <ligand_pdb>  (52) 
+MFR
 
->  <alt>  (24) 
- 
+>  <alt>  (52) 
+B
 
->  <chain>  (24) 
-A
+>  <chain>  (52) 
+C
 
->  <atom.prop.subpocket>  (24) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
+>  <atom.prop.subpocket>  (52) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (24) 
-16 16 16 16 16 16 16 16 16 8 8 8 8 5 5 na na
+>  <atom.prop.environment>  (52) 
+16 16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 16 16 na
 
 $$$$
-1h00_altB_chainA
+3bhu_altA_chainC
      RDKit          3D
 
- 12 12  0  0  0  0  0  0  0  0999 V2000
-    0.1893   20.8387   42.1554 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2725   21.9113   42.2498 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6754   18.8657   42.9727 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0162   18.1470   41.9166 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0976   17.0742   41.8226 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7550   18.9286   40.9946 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8397   20.2689   41.1378 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5547   20.2068   43.0680 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5020   18.2074   43.9739 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8869   18.8619   44.6399 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4759   18.3483   39.8677 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9114   16.8344   44.2523 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+   -0.0985   17.6681   43.0699 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2537   16.6290   43.3199 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7277   18.6572   43.8428 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3485   18.3438   44.6690 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7225   17.9904   41.9868 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6343   20.2326   40.7459 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2328   21.6583   41.0630 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5385   22.5347   40.5109 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4225   21.6542   42.1590 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0629   22.4848   42.6072 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1627   20.3856   42.5686 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5969   19.9742   43.6071 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8357   19.4439   41.6648 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3095   16.9952   41.2512 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4711   16.0543   40.5680 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0942   19.9877   39.3324 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  7  2  0
-  1  8  1  0
+  1  3  2  0
+  1  5  1  0
   3  4  1  0
-  3  8  2  0
-  3  9  1  0
-  4  5  1  0
-  4  6  2  0
-  6  7  1  0
+  3 12  1  0
+  5 13  2  0
+  5 14  1  0
+  6  7  2  0
+  6 13  1  0
+  7  8  1  0
+  7  9  1  0
   9 10  1  0
-  6 11  1  0
-  9 12  1  0
-V   11 *
-V   12 *
+  9 11  1  0
+ 11 12  2  0
+ 11 13  1  0
+ 14 15  1  0
+ 16  6  1  0
+V   15 *
+V   16 *
 M  END
->  <kinase>  (25) 
+>  <kinase>  (53) 
 CDK2
 
->  <family>  (25) 
+>  <family>  (53) 
 CDK
 
->  <group>  (25) 
-CMGC
-
->  <complex_pdb>  (25) 
-1h00
+>  <group>  (53) 
+CMGC
 
->  <ligand_pdb>  (25) 
-FCP
+>  <complex_pdb>  (53) 
+3bhu
 
->  <alt>  (25) 
-B
+>  <ligand_pdb>  (53) 
+MHR
 
->  <chain>  (25) 
+>  <alt>  (53) 
 A
 
->  <atom.prop.subpocket>  (25) 
-AP AP AP AP AP AP AP AP AP AP FP SE
+>  <chain>  (53) 
+C
 
->  <atom.prop.environment>  (25) 
-14 14 14 14 14 14 14 14 5 5 na na
+>  <atom.prop.subpocket>  (53) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP GA
+
+>  <atom.prop.environment>  (53) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 3 na na
 
 $$$$
-1h08_altA_chainA
+4ek6_altB_chainA
      RDKit          3D
 
- 12 12  0  0  0  0  0  0  0  0999 V2000
-   -0.9843   19.6333   43.3470 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1862   20.2347   42.4303 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0144   21.2990   42.4934 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1643   18.3067   43.2362 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1692   18.0865   41.3587 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4338   19.4823   41.3786 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6252   17.5434   42.2830 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0149   17.6810   44.2297 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3887   18.3377   44.8999 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5591   20.3234   40.0827 Br  0  0  0  0  0  0  0  0  0  0  0  0
-    0.7602   17.2701   40.3080 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.4503   16.3034   44.4731 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  4  1  0
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+   -1.4368   15.8068   42.8642 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7759   17.8002   43.9369 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3050   18.2425   44.6749 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8035   19.9218   43.4956 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3238   20.4505   44.1810 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0686   20.4005   42.5926 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2419   15.9352   44.4999 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8620   16.7661   44.8363 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8386   15.2629   43.8834 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0638   16.4774   43.6735 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8398   18.5771   43.2948 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6201   19.4046   41.7990 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0517   18.2044   42.2249 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2384   17.2135   41.8382 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7276   15.2007   45.6711 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5800   19.7544   40.7514 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1 10  2  0
   2  3  1  0
-  2  6  1  0
-  4  7  2  0
-  4  8  1  0
-  5  6  2  0
-  5  7  1  0
-  6 10  1  0
-  8  9  1  0
-  5 11  1  0
-  8 12  1  0
-V   11 *
-V   12 *
+  2 10  1  0
+  2 11  1  0
+  4  5  1  0
+  4  6  1  0
+  4 11  1  0
+  6 12  2  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+ 11 13  2  0
+ 12 13  1  0
+ 13 14  1  0
+ 15  7  1  0
+ 12 16  1  0
+V   15 *
+V   16 *
 M  END
->  <kinase>  (26) 
+>  <kinase>  (54) 
 CDK2
 
->  <family>  (26) 
+>  <family>  (54) 
 CDK
 
->  <group>  (26) 
+>  <group>  (54) 
 CMGC
 
->  <complex_pdb>  (26) 
-1h08
+>  <complex_pdb>  (54) 
+4ek6
 
->  <ligand_pdb>  (26) 
-BYP
+>  <ligand_pdb>  (54) 
+10K
 
->  <alt>  (26) 
-A
+>  <alt>  (54) 
+B
 
->  <chain>  (26) 
+>  <chain>  (54) 
 A
 
->  <atom.prop.subpocket>  (26) 
-AP AP AP AP AP AP AP AP AP AP FP SE
+>  <atom.prop.subpocket>  (54) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
 
->  <atom.prop.environment>  (26) 
-14 14 14 14 14 14 14 5 5 14 na na
+>  <atom.prop.environment>  (54) 
+1 5 5 14 14 14 8 1 1 1 14 14 14 14 na na
 
 $$$$
-2exm_chainA
+4eoi_altB_chainC
      RDKit          3D
 
- 13 14  0  0  0  0  0  0  0  0999 V2000
-   -0.1714   17.0938   42.0663 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2707   18.4229   41.7310 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9067   18.9521   40.5875 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1455   19.4478   42.6479 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6171   20.5959   42.1232 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6071   21.5199   42.5310 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1093   20.2154   40.9156 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6323   20.9015   40.2659 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4634   19.1598   43.9172 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9020   17.9339   44.1209 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4113   17.7201   45.0490 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7545   16.9738   43.2676 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0621   15.9293   41.2316 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 12  1  0
-  2  3  1  0
-  2  4  1  0
-  3  7  2  0
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+    1.8814   20.0295   40.0998 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5189   20.8790   39.9035 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9219   20.0302   41.2323 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3535   21.2192   41.7003 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6214   22.1592   41.2408 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5594   21.1990   42.7591 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9944   22.1243   43.1071 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9141   19.9980   43.3703 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7868   19.9439   44.3994 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1085   18.7679   44.9690 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8124   18.7607   45.7880 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5626   17.5545   44.5370 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8472   16.6328   45.0228 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6522   17.5315   43.4810 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2259   16.6005   43.1373 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3070   18.7386   42.8816 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5980   18.8102   41.8349 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0636   17.9040   41.4764 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9302   18.8148   39.2475 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  3  4  2  0
+  3 17  1  0
   4  5  1  0
-  4  9  2  0
-  5  6  1  0
-  5  7  1  0
-  7  8  1  0
-  9 10  1  0
+  4  6  1  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+  8 16  1  0
+  9 10  2  0
  10 11  1  0
- 10 12  2  0
-  1 13  1  0
-V   13 *
+ 10 12  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 14 16  1  0
+ 16 17  2  0
+ 17 18  1  0
+ 19  1  2  0
+V   19 *
 M  END
->  <kinase>  (27) 
+>  <kinase>  (55) 
 CDK2
 
->  <family>  (27) 
+>  <family>  (55) 
 CDK
 
->  <group>  (27) 
+>  <group>  (55) 
 CMGC
 
->  <complex_pdb>  (27) 
-2exm
+>  <complex_pdb>  (55) 
+4eoi
 
->  <ligand_pdb>  (27) 
-ZIP
+>  <ligand_pdb>  (55) 
+1RO
 
->  <alt>  (27) 
- 
+>  <alt>  (55) 
+B
 
->  <chain>  (27) 
-A
+>  <chain>  (55) 
+C
 
->  <atom.prop.subpocket>  (27) 
-AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (55) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (27) 
-14 14 14 14 14 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (55) 
+7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 na
 
 $$$$
-2uzn_chainA
+4fkj_altB_chainA
      RDKit          3D
 
- 14 14  0  0  0  0  0  0  0  0999 V2000
-   -1.0327   17.2299   43.3732 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2524   17.2047   42.2516 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9245   18.4921   43.9483 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4026   18.8236   44.8582 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0866   19.2487   43.1345 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2033   20.2764   43.2962 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3100   18.4375   42.0725 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2268   18.7990   40.9656 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8151   20.1828   40.9022 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5492   20.7324   41.8052 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4220   20.7051   40.0300 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9001   20.1131   40.8255 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4241   17.9328   39.9546 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8175   16.0638   43.8876 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    0.0387   20.3784   42.6559 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2611   21.3599   42.5712 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7765   19.8760   43.4708 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7245   17.8051   43.9846 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2109   18.2514   44.7490 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5122   15.8182   42.8565 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0032   18.2151   42.2733 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1476   17.2403   41.8334 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2054   15.9482   44.5377 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8372   15.3430   43.8876 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.7903   16.7705   44.9498 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0431   16.5200   43.7180 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8072   18.5498   43.3145 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5633   19.3864   41.9172 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6907   15.0845   45.6759 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6005   19.7514   40.8343 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  2  0
-  2  7  1  0
-  3  4  1  0
-  3  5  1  0
-  5  6  1  0
-  5  7  2  0
+  1  3  1  0
+  1 14  1  0
+  3 13  2  0
+  4  5  1  0
+  4 12  1  0
+  4 13  1  0
+  6 12  2  0
   7  8  1  0
-  8  9  1  0
+  7 13  1  0
+  7 14  2  0
   9 10  1  0
   9 11  1  0
   9 12  1  0
-  8 13  2  0
-  1 14  1  0
-V   13 *
-V   14 *
+  9 15  1  0
+ 14 16  1  0
+V   15 *
+V   16 *
 M  END
->  <kinase>  (28) 
+>  <kinase>  (56) 
 CDK2
 
->  <family>  (28) 
+>  <family>  (56) 
 CDK
 
->  <group>  (28) 
+>  <group>  (56) 
 CMGC
 
->  <complex_pdb>  (28) 
-2uzn
+>  <complex_pdb>  (56) 
+4fkj
 
->  <ligand_pdb>  (28) 
-C96
+>  <ligand_pdb>  (56) 
+11K
 
->  <alt>  (28) 
- 
+>  <alt>  (56) 
+B
 
->  <chain>  (28) 
+>  <chain>  (56) 
 A
 
->  <atom.prop.subpocket>  (28) 
-AP AP AP AP AP AP AP AP AP AP AP AP FP SE
+>  <atom.prop.subpocket>  (56) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
 
->  <atom.prop.environment>  (28) 
-14 14 14 14 14 14 14 14 14 14 14 14 na na
+>  <atom.prop.environment>  (56) 
+14 14 14 5 5 1 14 14 8 1 1 1 14 14 na na
 
 $$$$
 5and_chainA
@@ -1853,32 +3772,96 @@ $$$$
   1 15  1  0
 V   15 *
 M  END
->  <kinase>  (29) 
-CDK2
+>  <kinase>  (57) 
+CDK2
+
+>  <family>  (57) 
+CDK
+
+>  <group>  (57) 
+CMGC
+
+>  <complex_pdb>  (57) 
+5and
+
+>  <ligand_pdb>  (57) 
+5JE
+
+>  <alt>  (57) 
+ 
+
+>  <chain>  (57) 
+A
+
+>  <atom.prop.subpocket>  (57) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+
+>  <atom.prop.environment>  (57) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+
+$$$$
+1ung_chainA
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+   -0.5481   17.1917   43.1853 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8783   18.3617   43.8001 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5248   18.5040   44.5629 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1546   19.2669   43.1648 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1189   20.6803   43.4313 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6207   18.6881   42.1930 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4891   19.5048   41.4002 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4815   20.8131   41.6253 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1109   21.4525   41.0241 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6806   21.3879   42.6205 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7088   22.4607   42.7413 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3926   17.3239   42.1295 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0744   16.2991   41.2219 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0879   15.9683   43.5581 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1 12  2  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
+  4  6  1  0
+  5 10  1  0
+  6  7  2  0
+  6 12  1  0
+  7  8  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 12 13  1  0
+ 14  1  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (58) 
+CDK5
 
->  <family>  (29) 
+>  <family>  (58) 
 CDK
 
->  <group>  (29) 
+>  <group>  (58) 
 CMGC
 
->  <complex_pdb>  (29) 
-5and
+>  <complex_pdb>  (58) 
+1ung
 
->  <ligand_pdb>  (29) 
-5JE
+>  <ligand_pdb>  (58) 
+ALH
 
->  <alt>  (29) 
+>  <alt>  (58) 
  
 
->  <chain>  (29) 
+>  <chain>  (58) 
 A
 
->  <atom.prop.subpocket>  (29) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (58) 
+AP AP AP AP AP AP AP AP AP AP AP AP FP SE
 
->  <atom.prop.environment>  (29) 
-14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (58) 
+14 16 16 16 16 16 16 16 16 16 16 16 na na
 
 $$$$
 1unh_chainA
@@ -1917,34 +3900,34 @@ $$$$
  11 12  1  0
  11 13  2  0
  13 14  1  0
-  1 16  2  0
+ 16  1  2  0
 V   16 *
 M  END
->  <kinase>  (30) 
+>  <kinase>  (59) 
 CDK5
 
->  <family>  (30) 
+>  <family>  (59) 
 CDK
 
->  <group>  (30) 
+>  <group>  (59) 
 CMGC
 
->  <complex_pdb>  (30) 
+>  <complex_pdb>  (59) 
 1unh
 
->  <ligand_pdb>  (30) 
+>  <ligand_pdb>  (59) 
 IXM
 
->  <alt>  (30) 
+>  <alt>  (59) 
  
 
->  <chain>  (30) 
+>  <chain>  (59) 
 A
 
->  <atom.prop.subpocket>  (30) 
+>  <atom.prop.subpocket>  (59) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (30) 
+>  <atom.prop.environment>  (59) 
 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 na
 
 $$$$
@@ -1983,31 +3966,31 @@ $$$$
  12 14  1  0
 V   14 *
 M  END
->  <kinase>  (31) 
+>  <kinase>  (60) 
 CDK5
 
->  <family>  (31) 
+>  <family>  (60) 
 CDK
 
->  <group>  (31) 
+>  <group>  (60) 
 CMGC
 
->  <complex_pdb>  (31) 
+>  <complex_pdb>  (60) 
 4au8
 
->  <ligand_pdb>  (31) 
+>  <ligand_pdb>  (60) 
 Z3R
 
->  <alt>  (31) 
+>  <alt>  (60) 
 B
 
->  <chain>  (31) 
+>  <chain>  (60) 
 B
 
->  <atom.prop.subpocket>  (31) 
+>  <atom.prop.subpocket>  (60) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (31) 
+>  <atom.prop.environment>  (60) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
@@ -2049,34 +4032,34 @@ $$$$
  13 14  1  0
  13 15  2  0
  15 16  1  0
-  1 17  1  0
+ 17  1  1  0
 V   17 *
 M  END
->  <kinase>  (32) 
+>  <kinase>  (61) 
 CDK8
 
->  <family>  (32) 
+>  <family>  (61) 
 CDK
 
->  <group>  (32) 
+>  <group>  (61) 
 CMGC
 
->  <complex_pdb>  (32) 
+>  <complex_pdb>  (61) 
 4crl
 
->  <ligand_pdb>  (32) 
+>  <ligand_pdb>  (61) 
 C1I
 
->  <alt>  (32) 
+>  <alt>  (61) 
  
 
->  <chain>  (32) 
+>  <chain>  (61) 
 A
 
->  <atom.prop.subpocket>  (32) 
+>  <atom.prop.subpocket>  (61) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (32) 
+>  <atom.prop.environment>  (61) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -2105,35 +4088,35 @@ $$$$
   6  7  1  0
   6  8  2  0
   4 10  1  0
-  5 11  1  0
+ 11  5  1  0
 V   10 *
 V   11 *
 M  END
->  <kinase>  (33) 
+>  <kinase>  (62) 
 CDK8
 
->  <family>  (33) 
+>  <family>  (62) 
 CDK
 
->  <group>  (33) 
+>  <group>  (62) 
 CMGC
 
->  <complex_pdb>  (33) 
+>  <complex_pdb>  (62) 
 5bnj
 
->  <ligand_pdb>  (33) 
+>  <ligand_pdb>  (62) 
 4TV
 
->  <alt>  (33) 
+>  <alt>  (62) 
  
 
->  <chain>  (33) 
+>  <chain>  (62) 
 A
 
->  <atom.prop.subpocket>  (33) 
+>  <atom.prop.subpocket>  (62) 
 AP AP AP AP AP AP AP AP AP FP FP
 
->  <atom.prop.environment>  (33) 
+>  <atom.prop.environment>  (62) 
 16 16 16 16 16 16 16 16 16 na na
 
 $$$$
@@ -2166,36 +4149,171 @@ $$$$
   8  9  1  0
   8 10  1  0
   6 12  1  0
-  1 13  1  0
+ 13  1  1  0
 V   12 *
 V   13 *
 M  END
->  <kinase>  (34) 
+>  <kinase>  (63) 
 CDK8
 
->  <family>  (34) 
+>  <family>  (63) 
 CDK
 
->  <group>  (34) 
+>  <group>  (63) 
 CMGC
 
->  <complex_pdb>  (34) 
+>  <complex_pdb>  (63) 
 5hbj
 
->  <ligand_pdb>  (34) 
+>  <ligand_pdb>  (63) 
 5Y8
 
->  <alt>  (34) 
+>  <alt>  (63) 
 B
 
->  <chain>  (34) 
+>  <chain>  (63) 
 A
 
->  <atom.prop.subpocket>  (34) 
+>  <atom.prop.subpocket>  (63) 
 AP AP AP AP AP AP AP AP AP AP AP FP FP
 
->  <atom.prop.environment>  (34) 
-16 16 16 16 16 16 16 5 5 5 16 na na
+>  <atom.prop.environment>  (63) 
+16 14 14 14 14 16 14 5 5 5 14 na na
+
+$$$$
+5i5z_chainA
+     RDKit          3D
+
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    2.7366   19.3982   39.8480 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3625   19.3133   41.7338 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3799   20.7337   41.8181 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6645   21.3584   42.8514 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6723   22.4355   42.9291 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0354   18.7175   40.7562 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1114   21.4756   40.8650 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1376   22.5542   40.9124 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7868   20.8067   39.8804 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3512   21.3509   39.1376 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0168   20.6480   43.7285 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0619   19.3207   43.6861 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6386   18.7897   44.4290 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6114   18.6015   42.7141 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4441   18.6453   38.7774 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5236   17.1338   42.6860 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  6  2  0
+  1  9  1  0
+  2  3  2  0
+  2  6  1  0
+  2 14  1  0
+  3  4  1  0
+  3  7  1  0
+  4  5  1  0
+  4 11  2  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+ 11 12  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 15  1  1  0
+ 16 14  1  0
+V   15 *
+V   16 *
+M  END
+>  <kinase>  (64) 
+CDK8
+
+>  <family>  (64) 
+CDK
+
+>  <group>  (64) 
+CMGC
+
+>  <complex_pdb>  (64) 
+5i5z
+
+>  <ligand_pdb>  (64) 
+68U
+
+>  <alt>  (64) 
+ 
+
+>  <chain>  (64) 
+A
+
+>  <atom.prop.subpocket>  (64) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP
+
+>  <atom.prop.environment>  (64) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 16 na na
+
+$$$$
+2hxl_chainA
+     RDKit          3D
+
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+   -0.2186   18.6233   43.4710 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5851   18.5422   42.2647 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7783   19.9104   41.8064 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1548   20.7160   42.6809 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1502   21.7248   42.6319 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4734   19.9798   43.6471 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1707   17.4518   41.4271 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0578   16.4229   41.7353 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9077   17.7675   40.1729 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3436   16.9816   39.5739 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0284   19.1911   39.7663 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4765   20.2969   40.5785 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5822   21.3303   40.2830 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6787   19.4883   38.5071 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2358   19.7315   37.5155 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7971   17.5166   44.3527 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  6  2  0
+  2  3  2  0
+  2  7  1  0
+  3  4  1  0
+  3 12  1  0
+  4  5  1  0
+  4  6  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  2  0
+ 11 14  1  0
+ 12 13  1  0
+ 14 15  3  0
+ 16  1  1  0
+V   16 *
+M  END
+>  <kinase>  (65) 
+CHK1
+
+>  <family>  (65) 
+CAMKL
+
+>  <group>  (65) 
+CAMK
+
+>  <complex_pdb>  (65) 
+2hxl
+
+>  <ligand_pdb>  (65) 
+422
+
+>  <alt>  (65) 
+ 
+
+>  <chain>  (65) 
+A
+
+>  <atom.prop.subpocket>  (65) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+
+>  <atom.prop.environment>  (65) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
 2hxq_chainA
@@ -2228,45 +4346,108 @@ $$$$
   4  5  1  0
   4  6  2  0
   6  7  1  0
-  6  8  1  0
-  8  9  1  0
-  8 10  2  0
+  6  8  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 13 14  1  0
+ 13 17  2  0
+ 14 15  2  0
+ 15 16  1  0
+ 14 18  1  0
+V   18 *
+M  END
+>  <kinase>  (66) 
+CHK1
+
+>  <family>  (66) 
+CAMKL
+
+>  <group>  (66) 
+CAMK
+
+>  <complex_pdb>  (66) 
+2hxq
+
+>  <ligand_pdb>  (66) 
+373
+
+>  <alt>  (66) 
+ 
+
+>  <chain>  (66) 
+A
+
+>  <atom.prop.subpocket>  (66) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+
+>  <atom.prop.environment>  (66) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+2wmw_chainA
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+   -1.3710   15.9238   44.8501 Br  0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7179   17.5087   44.0749 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1261   18.7296   44.5901 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8098   18.7491   45.4259 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6969   19.8665   44.0808 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1466   19.8699   43.0462 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7134   20.8451   42.3597 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5811   21.8315   42.5313 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4263   20.3683   41.4801 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3898   19.0418   41.5130 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9227   18.3731   40.8532 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5861   18.6876   42.4960 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1536   17.4739   43.0012 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6043   16.2693   42.4446 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  2  3  2  0
+  2 13  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  2  0
+  6  7  1  0
+  6 12  1  0
+  7  8  1  0
+  7  9  1  0
+  9 10  2  0
  10 11  1  0
- 11 12  1  0
- 11 13  1  0
+ 10 12  1  0
+ 12 13  2  0
  13 14  1  0
- 13 17  2  0
- 14 15  2  0
- 15 16  1  0
- 14 18  1  0
-V   18 *
+V   14 *
 M  END
->  <kinase>  (35) 
+>  <kinase>  (67) 
 CHK1
 
->  <family>  (35) 
+>  <family>  (67) 
 CAMKL
 
->  <group>  (35) 
+>  <group>  (67) 
 CAMK
 
->  <complex_pdb>  (35) 
-2hxq
+>  <complex_pdb>  (67) 
+2wmw
 
->  <ligand_pdb>  (35) 
-373
+>  <ligand_pdb>  (67) 
+ZYW
 
->  <alt>  (35) 
+>  <alt>  (67) 
  
 
->  <chain>  (35) 
+>  <chain>  (67) 
 A
 
->  <atom.prop.subpocket>  (35) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (67) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (35) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (67) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 2wmx_chainA
@@ -2301,35 +4482,35 @@ $$$$
   9 11  1  0
  11 12  2  0
  12 13  1  0
-  1 14  1  0
+ 14  1  1  0
 V   13 *
 V   14 *
 M  END
->  <kinase>  (36) 
+>  <kinase>  (68) 
 CHK1
 
->  <family>  (36) 
+>  <family>  (68) 
 CAMKL
 
->  <group>  (36) 
+>  <group>  (68) 
 CAMK
 
->  <complex_pdb>  (36) 
+>  <complex_pdb>  (68) 
 2wmx
 
->  <ligand_pdb>  (36) 
+>  <ligand_pdb>  (68) 
 ZY6
 
->  <alt>  (36) 
+>  <alt>  (68) 
  
 
->  <chain>  (36) 
+>  <chain>  (68) 
 A
 
->  <atom.prop.subpocket>  (36) 
+>  <atom.prop.subpocket>  (68) 
 AP AP AP AP AP AP AP AP AP AP AP AP FP SE
 
->  <atom.prop.environment>  (36) 
+>  <atom.prop.environment>  (68) 
 16 16 16 16 16 16 16 16 16 16 16 16 na na
 
 $$$$
@@ -2354,103 +4535,398 @@ $$$$
   2  3  1  0
   3  4  2  0
   4  5  1  0
-  4  6  1  0
-  6  7  2  0
-  7  8  1  0
-  8  9  1  0
-  8 10  1  0
-  1 11  1  0
-  3 12  1  0
-V   11 *
-V   12 *
+  4  6  1  0
+  6  7  2  0
+  7  8  1  0
+  8  9  1  0
+  8 10  1  0
+ 11  1  1  0
+  3 12  1  0
+V   11 *
+V   12 *
+M  END
+>  <kinase>  (69) 
+CHK1
+
+>  <family>  (69) 
+CAMKL
+
+>  <group>  (69) 
+CAMK
+
+>  <complex_pdb>  (69) 
+4qyf
+
+>  <ligand_pdb>  (69) 
+3DV
+
+>  <alt>  (69) 
+ 
+
+>  <chain>  (69) 
+A
+
+>  <atom.prop.subpocket>  (69) 
+AP AP AP AP AP AP AP AP AP AP GA SE
+
+>  <atom.prop.environment>  (69) 
+14 14 14 14 14 14 14 5 5 5 na na
+
+$$$$
+5opr_chainA
+     RDKit          3D
+
+ 13 13  0  0  0  0  0  0  0  0999 V2000
+   -0.5136   19.9896   44.0527 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5280   20.9683   42.2923 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0336   20.9274   41.4189 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2909   21.8628   42.6971 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4499   18.5231   42.4402 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0047   17.4377   43.1577 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1913   16.4326   42.8147 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7241   17.6583   44.3377 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9589   18.9432   44.7652 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5057   19.1120   45.6811 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1663   19.8188   42.9234 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1124   18.2669   41.1440 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2428   16.5309   45.1550 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  9  2  0
+  1 11  1  0
+  2  3  1  0
+  2  4  1  0
+  2 11  1  0
+  5  6  1  0
+  5 11  2  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+  9 10  1  0
+ 12  5  1  0
+  8 13  1  0
+V   12 *
+V   13 *
+M  END
+>  <kinase>  (70) 
+CHK1
+
+>  <family>  (70) 
+CAMKL
+
+>  <group>  (70) 
+CAMK
+
+>  <complex_pdb>  (70) 
+5opr
+
+>  <ligand_pdb>  (70) 
+A3E
+
+>  <alt>  (70) 
+ 
+
+>  <chain>  (70) 
+A
+
+>  <atom.prop.subpocket>  (70) 
+AP AP AP AP AP AP AP AP AP AP AP FP SE
+
+>  <atom.prop.environment>  (70) 
+14 5 5 5 16 14 14 16 14 14 14 na na
+
+$$$$
+6fck_altB_chainA
+     RDKit          3D
+
+ 20 21  0  0  0  0  0  0  0  0999 V2000
+    0.2146   20.2122   42.9592 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8966   16.2145   41.4252 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1654   16.4171   42.6058 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0157   17.7112   43.1071 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5250   21.2468   42.1752 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2499   22.1817   42.4404 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0350   21.0947   41.3168 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4096   20.3867   44.0127 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5365   18.8262   42.4657 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2768   18.6235   41.2858 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7066   19.4676   40.7669 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4566   17.3294   40.7845 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0384   17.1862   39.8859 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4999   15.4786   43.4262 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5865   14.4087   43.3062 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0126   16.2917   44.4260 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7638   17.6001   44.2190 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0834   18.3637   44.7977 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1069   14.9286   40.9682 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8780   15.9499   45.5975 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  5  1  0
+  1  8  2  0
+  1  9  1  0
+  2  3  2  0
+  2 12  1  0
+  3  4  1  0
+  3 14  1  0
+  4  9  2  0
+  4 17  1  0
+  5  6  1  0
+  5  7  1  0
+  9 10  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
+ 14 15  1  0
+ 14 16  2  0
+ 16 17  1  0
+ 17 18  1  0
+  2 19  1  0
+ 20 16  1  0
+V   19 *
+V   20 *
+M  END
+>  <kinase>  (71) 
+CHK1
+
+>  <family>  (71) 
+CAMKL
+
+>  <group>  (71) 
+CAMK
+
+>  <complex_pdb>  (71) 
+6fck
+
+>  <ligand_pdb>  (71) 
+D4Z
+
+>  <alt>  (71) 
+B
+
+>  <chain>  (71) 
+A
+
+>  <atom.prop.subpocket>  (71) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP SE
+
+>  <atom.prop.environment>  (71) 
+1 16 16 16 5 5 5 1 16 16 16 16 16 16 16 14 16 16 na na
+
+$$$$
+7mck_chainA
+     RDKit          3D
+
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    0.4306   20.9875   41.8343 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0539   21.5372   42.6277 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5483   20.9113   39.7236 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9713   21.4039   38.8606 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0325   17.5133   42.9369 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6613   17.1865   42.2172 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0507   18.8550   43.0535 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6059   19.4372   43.9805 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5502   19.6050   41.8968 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1284   18.8780   40.9251 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5959   19.5276   39.8467 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9469   21.6428   40.7314 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8810   22.7183   40.6577 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6217   16.4950   43.6632 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2413   18.6827   38.8103 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  9  2  0
+  1 12  1  0
+  3  4  1  0
+  3 11  1  0
+  3 12  2  0
+  5  6  1  0
+  5  7  1  0
+  7  8  2  0
+  7  9  1  0
+  9 10  1  0
+ 10 11  2  0
+ 12 13  1  0
+ 14  5  1  0
+ 11 15  1  0
+V   14 *
+V   15 *
+M  END
+>  <kinase>  (72) 
+CHK1
+
+>  <family>  (72) 
+CAMKL
+
+>  <group>  (72) 
+CAMK
+
+>  <complex_pdb>  (72) 
+7mck
+
+>  <ligand_pdb>  (72) 
+YXD
+
+>  <alt>  (72) 
+ 
+
+>  <chain>  (72) 
+A
+
+>  <atom.prop.subpocket>  (72) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
+
+>  <atom.prop.environment>  (72) 
+14 14 14 14 5 5 1 1 14 14 14 14 14 na na
+
+$$$$
+7suf_altA_chainA
+     RDKit          3D
+
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+   -0.6259   18.5666   43.8896 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7848   18.3806   42.0985 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7488   19.7467   41.9273 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0286   20.4712   42.8164 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0873   21.5429   42.6966 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4452   20.3865   40.9362 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4021   21.4607   40.8322 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7082   19.9023   43.8145 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1970   19.6270   40.0818 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7547   20.1049   39.2900 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2483   18.2658   40.2224 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8567   17.6849   39.5451 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5349   17.6225   41.2160 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0917   17.7836   43.0606 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3735   18.0252   44.9061 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9134   18.6824   45.4508 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4811   16.7486   45.2687 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6047   16.1278   41.3949 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  8  2  0
+  1 14  1  0
+  1 15  1  0
+  2  3  1  0
+  2 13  1  0
+  2 14  2  0
+  3  4  2  0
+  3  6  1  0
+  4  5  1  0
+  4  8  1  0
+  6  7  1  0
+  6  9  2  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 15 16  1  0
+ 17 15  1  0
+ 13 18  1  0
+V   17 *
+V   18 *
 M  END
->  <kinase>  (37) 
+>  <kinase>  (73) 
 CHK1
 
->  <family>  (37) 
+>  <family>  (73) 
 CAMKL
 
->  <group>  (37) 
+>  <group>  (73) 
 CAMK
 
->  <complex_pdb>  (37) 
-4qyf
+>  <complex_pdb>  (73) 
+7suf
 
->  <ligand_pdb>  (37) 
-3DV
+>  <ligand_pdb>  (73) 
+BVI
 
->  <alt>  (37) 
- 
+>  <alt>  (73) 
+A
 
->  <chain>  (37) 
+>  <chain>  (73) 
 A
 
->  <atom.prop.subpocket>  (37) 
-AP AP AP AP AP AP AP AP AP AP GA SE
+>  <atom.prop.subpocket>  (73) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (37) 
-14 14 14 14 14 14 14 5 5 5 na na
+>  <atom.prop.environment>  (73) 
+14 14 14 14 14 14 14 14 14 14 14 14 16 14 5 5 na na
 
 $$$$
-5opr_chainA
+2wtd_chainA
      RDKit          3D
 
- 13 13  0  0  0  0  0  0  0  0999 V2000
-   -0.5136   19.9896   44.0527 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5280   20.9683   42.2923 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0336   20.9274   41.4189 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2909   21.8628   42.6971 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4499   18.5231   42.4402 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0047   17.4377   43.1577 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1913   16.4326   42.8147 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7241   17.6583   44.3377 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9589   18.9432   44.7652 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5057   19.1120   45.6811 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1663   19.8188   42.9234 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1124   18.2669   41.1440 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2428   16.5309   45.1550 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  9  2  0
-  1 11  1  0
+ 23 24  0  0  0  0  0  0  0  0999 V2000
+    1.8026   18.1911   38.8378 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7583   17.3334   39.2275 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4105   16.5666   38.5511 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1671   17.4713   40.4927 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6353   16.8098   40.7844 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6113   18.4640   41.3833 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0167   18.5808   42.6412 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2934   17.4509   43.3632 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0572   16.4792   42.9551 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9002   17.5373   44.5984 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2124   18.8000   45.1153 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6890   18.8857   46.0807 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9131   19.9273   44.3964 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3136   19.8376   43.1683 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0269   21.0525   42.4311 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2690   21.9508   42.8242 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4149   21.0006   41.5244 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6573   19.3156   40.9903 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0079   20.0804   41.6674 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2505   19.1811   39.7257 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0541   19.8415   39.4350 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4842   17.9800   37.4785 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2687   16.3805   45.2865 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 20  1  0
   2  3  1  0
   2  4  1  0
-  2 11  1  0
-  5  6  1  0
-  5 11  2  0
+  4  5  1  0
+  4  6  2  0
   6  7  1  0
-  6  8  2  0
+  6 18  1  0
+  7  8  2  0
+  7 14  1  0
   8  9  1  0
-  9 10  1  0
-  5 12  1  0
-  8 13  1  0
-V   12 *
-V   13 *
+  8 10  1  0
+ 10 11  2  0
+ 11 12  1  0
+ 11 13  1  0
+ 13 14  2  0
+ 14 15  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 18 19  1  0
+ 18 20  2  0
+ 20 21  1  0
+ 22  1  1  0
+ 10 23  1  0
+V   22 *
+V   23 *
 M  END
->  <kinase>  (38) 
-CHK1
+>  <kinase>  (74) 
+CHK2
 
->  <family>  (38) 
-CAMKL
+>  <family>  (74) 
+RAD53
 
->  <group>  (38) 
+>  <group>  (74) 
 CAMK
 
->  <complex_pdb>  (38) 
-5opr
+>  <complex_pdb>  (74) 
+2wtd
 
->  <ligand_pdb>  (38) 
-A3E
+>  <ligand_pdb>  (74) 
+ZZK
 
->  <alt>  (38) 
+>  <alt>  (74) 
  
 
->  <chain>  (38) 
+>  <chain>  (74) 
 A
 
->  <atom.prop.subpocket>  (38) 
-AP AP AP AP AP AP AP AP AP AP AP FP SE
+>  <atom.prop.subpocket>  (74) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA SE
 
->  <atom.prop.environment>  (38) 
-16 5 5 5 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (74) 
+16 16 16 16 16 16 16 14 14 16 14 14 14 14 5 5 5 16 16 16 16 na na
 
 $$$$
 2xbj_chainA
@@ -2482,34 +4958,34 @@ $$$$
   7 10  1  0
   8  9  1  0
  11 12  1  0
-  1 13  1  0
+ 13  1  1  0
 V   13 *
 M  END
->  <kinase>  (39) 
+>  <kinase>  (75) 
 CHK2
 
->  <family>  (39) 
+>  <family>  (75) 
 RAD53
 
->  <group>  (39) 
+>  <group>  (75) 
 CAMK
 
->  <complex_pdb>  (39) 
+>  <complex_pdb>  (75) 
 2xbj
 
->  <ligand_pdb>  (39) 
+>  <ligand_pdb>  (75) 
 XBJ
 
->  <alt>  (39) 
+>  <alt>  (75) 
  
 
->  <chain>  (39) 
+>  <chain>  (75) 
 A
 
->  <atom.prop.subpocket>  (39) 
+>  <atom.prop.subpocket>  (75) 
 AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (39) 
+>  <atom.prop.environment>  (75) 
 16 16 16 16 16 16 16 16 16 16 3 3 na
 
 $$$$
@@ -2549,34 +5025,34 @@ $$$$
  12 13  1  0
  12 14  2  0
  14 15  1  0
-  2 16  1  0
+ 16  2  1  0
 V   16 *
 M  END
->  <kinase>  (40) 
+>  <kinase>  (76) 
 CHK2
 
->  <family>  (40) 
+>  <family>  (76) 
 RAD53
 
->  <group>  (40) 
+>  <group>  (76) 
 CAMK
 
->  <complex_pdb>  (40) 
+>  <complex_pdb>  (76) 
 4bdc
 
->  <ligand_pdb>  (40) 
+>  <ligand_pdb>  (76) 
 ODH
 
->  <alt>  (40) 
+>  <alt>  (76) 
  
 
->  <chain>  (40) 
+>  <chain>  (76) 
 A
 
->  <atom.prop.subpocket>  (40) 
+>  <atom.prop.subpocket>  (76) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (40) 
+>  <atom.prop.environment>  (76) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -2618,32 +5094,105 @@ $$$$
   2 16  1  0
 V   16 *
 M  END
->  <kinase>  (41) 
+>  <kinase>  (77) 
 CHK2
 
->  <family>  (41) 
+>  <family>  (77) 
 RAD53
 
->  <group>  (41) 
+>  <group>  (77) 
 CAMK
 
->  <complex_pdb>  (41) 
+>  <complex_pdb>  (77) 
 4bdi
 
->  <ligand_pdb>  (41) 
+>  <ligand_pdb>  (77) 
 HAU
 
->  <alt>  (41) 
+>  <alt>  (77) 
  
 
->  <chain>  (41) 
+>  <chain>  (77) 
 A
 
->  <atom.prop.subpocket>  (41) 
+>  <atom.prop.subpocket>  (77) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (41) 
-16 5 5 16 16 16 16 16 16 16 16 8 8 8 8 na
+>  <atom.prop.environment>  (77) 
+14 5 5 14 14 14 14 14 16 14 14 8 8 8 8 na
+
+$$$$
+4hgt_chainA
+     RDKit          3D
+
+ 19 19  0  0  0  0  0  0  0  0999 V2000
+    0.7055   22.6594   40.5642 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0654   23.0500   39.6123 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1406   23.2353   41.3810 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3809   22.7388   40.6021 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0215   19.0561   41.8022 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6601   18.3031   42.9909 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8188   17.2374   43.0651 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0756   19.0681   44.0670 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3604   18.4134   45.3385 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3997   18.6750   45.5374 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2664   18.7681   46.1567 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7643   20.5066   41.8213 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1728   21.1781   42.9702 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0057   22.2432   42.9694 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1451   20.4074   44.0432 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0921   21.2724   40.6930 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2458   17.0037   45.2419 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3660   16.2671   46.4242 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6045   18.2639   40.6430 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1 16  1  0
+  5  6  2  0
+  5 12  1  0
+  6  7  1  0
+  6  8  1  0
+  8  9  1  0
+  8 15  2  0
+  9 10  1  0
+  9 11  1  0
+  9 17  1  0
+ 12 13  2  0
+ 12 16  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 17 18  1  0
+ 19  5  1  0
+V   18 *
+V   19 *
+M  END
+>  <kinase>  (78) 
+CK1d
+
+>  <family>  (78) 
+CK1
+
+>  <group>  (78) 
+CK1
+
+>  <complex_pdb>  (78) 
+4hgt
+
+>  <ligand_pdb>  (78) 
+15G
+
+>  <alt>  (78) 
+ 
+
+>  <chain>  (78) 
+A
+
+>  <atom.prop.subpocket>  (78) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
+
+>  <atom.prop.environment>  (78) 
+3 3 3 3 16 16 16 14 4 4 4 16 16 16 16 3 3 na na
 
 $$$$
 4kbc_altB_chainB
@@ -2679,35 +5228,35 @@ $$$$
  10 12  1  0
  10 13  1  0
  13 14  1  0
-  3 15  1  0
+ 15  3  1  0
 V   15 *
 M  END
->  <kinase>  (42) 
+>  <kinase>  (79) 
 CK1d
 
->  <family>  (42) 
+>  <family>  (79) 
 CK1
 
->  <group>  (42) 
+>  <group>  (79) 
 CK1
 
->  <complex_pdb>  (42) 
+>  <complex_pdb>  (79) 
 4kbc
 
->  <ligand_pdb>  (42) 
+>  <ligand_pdb>  (79) 
 1QJ
 
->  <alt>  (42) 
+>  <alt>  (79) 
 B
 
->  <chain>  (42) 
+>  <chain>  (79) 
 B
 
->  <atom.prop.subpocket>  (42) 
+>  <atom.prop.subpocket>  (79) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (42) 
-16 16 16 16 16 16 16 16 16 8 8 8 3 3 na
+>  <atom.prop.environment>  (79) 
+14 14 16 14 14 14 14 14 14 4 4 4 3 3 na
 
 $$$$
 5okt_altB_chainB
@@ -2755,32 +5304,32 @@ $$$$
  16 19  1  0
 V   19 *
 M  END
->  <kinase>  (43) 
+>  <kinase>  (80) 
 CK1d
 
->  <family>  (43) 
+>  <family>  (80) 
 CK1
 
->  <group>  (43) 
+>  <group>  (80) 
 CK1
 
->  <complex_pdb>  (43) 
+>  <complex_pdb>  (80) 
 5okt
 
->  <ligand_pdb>  (43) 
+>  <ligand_pdb>  (80) 
 9XK
 
->  <alt>  (43) 
+>  <alt>  (80) 
 B
 
->  <chain>  (43) 
+>  <chain>  (80) 
 B
 
->  <atom.prop.subpocket>  (43) 
+>  <atom.prop.subpocket>  (80) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (43) 
-8 8 8 8 16 16 16 16 16 16 16 16 16 16 16 5 5 16 na
+>  <atom.prop.environment>  (80) 
+8 8 8 8 16 14 14 14 14 14 14 14 14 14 14 5 5 14 na
 
 $$$$
 4hgl_chainA
@@ -2813,37 +5362,37 @@ $$$$
   5  8  1  0
   5 12  1  0
   9 10  1  0
-  9 13  1  0
+ 13  9  1  0
   1 14  1  0
 V   13 *
 V   14 *
 M  END
->  <kinase>  (44) 
+>  <kinase>  (81) 
 CK1g3
 
->  <family>  (44) 
+>  <family>  (81) 
 CK1
 
->  <group>  (44) 
+>  <group>  (81) 
 CK1
 
->  <complex_pdb>  (44) 
+>  <complex_pdb>  (81) 
 4hgl
 
->  <ligand_pdb>  (44) 
+>  <ligand_pdb>  (81) 
 0YO
 
->  <alt>  (44) 
+>  <alt>  (81) 
  
 
->  <chain>  (44) 
+>  <chain>  (81) 
 A
 
->  <atom.prop.subpocket>  (44) 
+>  <atom.prop.subpocket>  (81) 
 AP AP AP AP AP AP AP AP AP AP AP AP FP SE
 
->  <atom.prop.environment>  (44) 
-14 14 14 14 3 3 3 3 14 14 14 3 na na
+>  <atom.prop.environment>  (81) 
+14 16 16 16 3 3 3 3 14 16 16 3 na na
 
 $$$$
 3axw_chainA
@@ -2867,36 +5416,102 @@ $$$$
   4  6  1  0
   6  7  1  0
   6  8  1  0
-  1  9  1  0
+  9  1  1  0
 V    9 *
 M  END
->  <kinase>  (45) 
+>  <kinase>  (82) 
 CK2a1
 
->  <family>  (45) 
+>  <family>  (82) 
 CK2
 
->  <group>  (45) 
+>  <group>  (82) 
 CMGC
 
->  <complex_pdb>  (45) 
+>  <complex_pdb>  (82) 
 3axw
 
->  <ligand_pdb>  (45) 
+>  <ligand_pdb>  (82) 
 TID
 
->  <alt>  (45) 
+>  <alt>  (82) 
  
 
->  <chain>  (45) 
+>  <chain>  (82) 
 A
 
->  <atom.prop.subpocket>  (45) 
+>  <atom.prop.subpocket>  (82) 
 AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (45) 
+>  <atom.prop.environment>  (82) 
 14 14 14 14 14 5 5 5 na
 
+$$$$
+3wil_chainA
+     RDKit          3D
+
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+   -0.3900   18.0737   43.8742 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2413   19.3973   43.4095 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6934   20.4346   43.8995 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2926   17.2371   43.0203 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8535   18.0352   42.0319 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6357   17.7163   40.9299 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8972   16.6891   40.7223 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5318   19.3875   42.2623 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9846   20.4140   41.4229 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7325   21.4443   41.6262 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7636   20.0788   40.3250 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1230   20.8449   39.6540 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0764   18.7359   40.0998 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8318   18.3720   39.0652 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1074   17.6886   45.0229 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  4  1  0
+  2  3  2  0
+  2  8  1  0
+  4  5  1  0
+  5  6  1  0
+  5  8  2  0
+  6  7  1  0
+  6 13  2  0
+  8  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 11 13  1  0
+ 13 14  1  0
+ 15  1  2  0
+V   14 *
+V   15 *
+M  END
+>  <kinase>  (83) 
+CK2a1
+
+>  <family>  (83) 
+CK2
+
+>  <group>  (83) 
+CMGC
+
+>  <complex_pdb>  (83) 
+3wil
+
+>  <ligand_pdb>  (83) 
+LCD
+
+>  <alt>  (83) 
+ 
+
+>  <chain>  (83) 
+A
+
+>  <atom.prop.subpocket>  (83) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP GA SE
+
+>  <atom.prop.environment>  (83) 
+7 16 16 16 16 16 16 16 16 16 16 16 16 na na
+
 $$$$
 5csp_altA_chainA
      RDKit          3D
@@ -2933,34 +5548,34 @@ $$$$
  12 13  1  0
  12 14  1  0
  12 15  1  0
-  5 16  1  0
+ 16  5  1  0
 V   16 *
 M  END
->  <kinase>  (46) 
+>  <kinase>  (84) 
 CK2a1
 
->  <family>  (46) 
+>  <family>  (84) 
 CK2
 
->  <group>  (46) 
+>  <group>  (84) 
 CMGC
 
->  <complex_pdb>  (46) 
+>  <complex_pdb>  (84) 
 5csp
 
->  <ligand_pdb>  (46) 
+>  <ligand_pdb>  (84) 
 54G
 
->  <alt>  (46) 
+>  <alt>  (84) 
 A
 
->  <chain>  (46) 
+>  <chain>  (84) 
 A
 
->  <atom.prop.subpocket>  (46) 
+>  <atom.prop.subpocket>  (84) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (46) 
+>  <atom.prop.environment>  (84) 
 16 16 16 16 16 16 16 16 3 3 16 8 8 8 8 na
 
 $$$$
@@ -2994,42 +5609,250 @@ $$$$
   5  6  1  0
   5  7  1  0
   7  8  1  0
-  7  9  2  0
-  9 10  1  0
+  7  9  2  0
+  9 10  1  0
+ 10 11  1  0
+ 12 13  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 16  1  0
+  4 17  1  0
+V   17 *
+M  END
+>  <kinase>  (85) 
+CK2a1
+
+>  <family>  (85) 
+CK2
+
+>  <group>  (85) 
+CMGC
+
+>  <complex_pdb>  (85) 
+5moh
+
+>  <ligand_pdb>  (85) 
+YTX
+
+>  <alt>  (85) 
+A
+
+>  <chain>  (85) 
+A
+
+>  <atom.prop.subpocket>  (85) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+
+>  <atom.prop.environment>  (85) 
+16 16 16 16 16 16 16 16 16 3 3 3 3 3 3 3 na
+
+$$$$
+6hoq_altB_chainA
+     RDKit          3D
+
+ 19 19  0  0  0  0  0  0  0  0999 V2000
+    0.1503   20.0390   42.9199 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3494   21.2438   42.2620 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0156   22.1711   42.6782 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0269   21.2231   41.0615 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1949   22.1479   40.5297 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5986   18.8404   42.3903 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2733   18.8267   41.1812 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6211   17.8983   40.7530 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4932   20.0396   40.5294 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0122   16.4973   42.6032 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7637   15.6384   43.2267 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0908   16.6543   42.6142 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6824   16.3117   41.5810 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1818   20.1279   39.1984 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3238   21.1035   38.7576 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5404   20.0499   44.1371 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6629   19.1881   44.5418 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3629   17.6488   43.1065 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6261   19.0621   38.5344 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  6  1  0
+  1 16  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  9  2  0
+  6  7  2  0
+  6 18  1  0
+  7  8  1  0
+  7  9  1  0
+  9 14  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 10 18  1  0
+ 14 15  1  0
+ 16 17  1  0
+ 14 19  2  0
+V   19 *
+M  END
+>  <kinase>  (86) 
+CK2a1
+
+>  <family>  (86) 
+CK2
+
+>  <group>  (86) 
+CMGC
+
+>  <complex_pdb>  (86) 
+6hoq
+
+>  <ligand_pdb>  (86) 
+FER
+
+>  <alt>  (86) 
+B
+
+>  <chain>  (86) 
+A
+
+>  <atom.prop.subpocket>  (86) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+
+>  <atom.prop.environment>  (86) 
+16 16 16 16 16 16 16 16 16 3 3 3 3 7 16 3 3 3 na
+
+$$$$
+7a4q_altA_chainA
+     RDKit          3D
+
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+    1.2476   20.1755   40.5784 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1638   19.0127   41.2852 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6085   18.1153   40.8812 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5142   18.9576   42.5219 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0680   20.1211   43.0220 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0065   21.3068   42.2671 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4559   22.2097   42.6377 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6516   21.3211   41.0850 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7058   22.2408   40.5214 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4561   17.8076   43.3050 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8774   16.8814   42.9430 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1317   17.8585   44.5228 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1862   16.9768   45.1441 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6529   19.0402   44.9505 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0872   19.0684   45.9389 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6655   20.1535   44.2442 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0166   20.2674   39.3578 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
+  4 10  1  0
+  5  6  1  0
+  5 16  1  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  1  0
+ 14 16  2  0
+ 17  1  1  0
+V   17 *
+M  END
+>  <kinase>  (87) 
+CK2a1
+
+>  <family>  (87) 
+CK2
+
+>  <group>  (87) 
+CMGC
+
+>  <complex_pdb>  (87) 
+7a4q
+
+>  <ligand_pdb>  (87) 
+QY2
+
+>  <alt>  (87) 
+A
+
+>  <chain>  (87) 
+A
+
+>  <atom.prop.subpocket>  (87) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+
+>  <atom.prop.environment>  (87) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+8p05_chainA
+     RDKit          3D
+
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    2.2980   19.3573   39.6467 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6280   20.2432   39.1245 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4906   19.6136   40.8424 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0035   18.5704   41.6381 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2611   17.5470   41.4082 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1890   18.8564   42.7225 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5415   17.7563   43.8539 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1415   19.1270   44.7402 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7175   19.0043   45.6455 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8668   20.3053   44.2660 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1080   20.1781   43.0903 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3969   21.2214   42.3172 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1910   22.2469   42.5861 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1672   20.9324   41.1979 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5271   21.7450   40.5842 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6956   18.1927   39.0929 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  3  4  2  0
+  3 14  1  0
+  4  5  1  0
+  4  6  1  0
+  6  7  1  0
+  6 11  2  0
+  7  8  1  0
+  8  9  1  0
+  8 10  2  0
  10 11  1  0
+ 11 12  1  0
  12 13  1  0
- 13 14  1  0
- 13 15  1  0
- 13 16  1  0
-  4 17  1  0
-V   17 *
+ 12 14  2  0
+ 14 15  1  0
+ 16  1  2  0
+V   16 *
 M  END
->  <kinase>  (47) 
+>  <kinase>  (88) 
 CK2a1
 
->  <family>  (47) 
+>  <family>  (88) 
 CK2
 
->  <group>  (47) 
+>  <group>  (88) 
 CMGC
 
->  <complex_pdb>  (47) 
-5moh
+>  <complex_pdb>  (88) 
+8p05
 
->  <ligand_pdb>  (47) 
-YTX
+>  <ligand_pdb>  (88) 
+WAK
 
->  <alt>  (47) 
-A
+>  <alt>  (88) 
+ 
 
->  <chain>  (47) 
+>  <chain>  (88) 
 A
 
->  <atom.prop.subpocket>  (47) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <atom.prop.subpocket>  (88) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (47) 
-16 16 16 16 16 16 16 16 16 3 3 3 3 3 3 3 na
+>  <atom.prop.environment>  (88) 
+7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 na
 
 $$$$
 5x8i_chainA
@@ -3064,274 +5887,192 @@ $$$$
  10 11  1  0
  11 12  1  0
  11 13  2  0
-  1 14  1  0
+ 14  1  1  0
 V   14 *
 M  END
->  <kinase>  (48) 
+>  <kinase>  (89) 
 CLK1
 
->  <family>  (48) 
+>  <family>  (89) 
 CLK
 
->  <group>  (48) 
+>  <group>  (89) 
 CMGC
 
->  <complex_pdb>  (48) 
+>  <complex_pdb>  (89) 
 5x8i
 
->  <ligand_pdb>  (48) 
+>  <ligand_pdb>  (89) 
 SQZ
 
->  <alt>  (48) 
+>  <alt>  (89) 
  
 
->  <chain>  (48) 
+>  <chain>  (89) 
 A
 
->  <atom.prop.subpocket>  (48) 
+>  <atom.prop.subpocket>  (89) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (48) 
+>  <atom.prop.environment>  (89) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-6fyk_altB_chainB
+6i5k_altA_chainC
      RDKit          3D
 
- 18 19  0  0  0  0  0  0  0  0999 V2000
-    1.6503   20.8576   39.6775 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0196   21.2848   38.7569 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7148   21.1041   41.8521 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7387   19.7287   42.0080 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1624   19.5614   43.3853 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0566   18.2539   44.0952 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2678   17.4339   43.4546 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1158   18.1382   44.3251 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5194   18.2419   45.0205 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6644   19.4546   39.8374 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2092   18.8639   41.0226 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2223   17.7935   41.1653 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1699   21.7120   40.6813 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1531   22.7844   40.5545 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1096   20.7142   43.8529 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5089   20.8827   44.7652 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2094   21.6864   42.9604 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1844   18.5872   38.7521 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1 10  1  0
-  1 13  2  0
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    0.8131   18.5577   41.6773 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4079   18.2444   43.8743 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8115   19.1683   44.7710 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3409   18.9395   45.6841 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1883   20.2754   43.1826 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6646   21.2315   42.3186 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6059   22.2779   42.5790 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2181   20.8449   41.1167 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5901   21.5759   40.4141 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2821   19.4926   40.8390 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2698   18.9759   42.8268 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4632   20.4377   44.3746 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8820   18.9912   39.6016 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6320   16.7825   44.0151 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1 10  2  0
+  1 11  1  0
+  2  3  2  0
+  2 11  1  0
   3  4  1  0
-  3 13  1  0
-  3 17  2  0
-  4  5  2  0
-  4 11  1  0
+  3 12  1  0
   5  6  1  0
-  5 15  1  0
+  5 11  2  0
+  5 12  1  0
   6  7  1  0
-  6  8  1  0
-  6  9  1  0
- 10 11  2  0
- 11 12  1  0
- 13 14  1  0
- 15 16  1  0
- 15 17  1  0
- 10 18  1  0
-V   18 *
+  6  8  2  0
+  8  9  1  0
+  8 10  1  0
+ 10 13  1  0
+ 14  2  1  0
+V   13 *
+V   14 *
 M  END
->  <kinase>  (49) 
-CLK2
+>  <kinase>  (90) 
+CLK1
 
->  <family>  (49) 
+>  <family>  (90) 
 CLK
 
->  <group>  (49) 
-CMGC
-
->  <complex_pdb>  (49) 
-6fyk
-
->  <ligand_pdb>  (49) 
-EAZ
-
->  <alt>  (49) 
-B
-
->  <chain>  (49) 
-B
-
->  <atom.prop.subpocket>  (49) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
-
->  <atom.prop.environment>  (49) 
-16 16 16 16 16 8 8 8 8 16 16 16 16 16 16 16 16 na
-
-$$$$
-6ckx_chainC
-     RDKit          3D
-
- 18 19  0  0  0  0  0  0  0  0999 V2000
-    0.6179   20.8447   41.7519 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3331   19.9740   39.7148 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0040   19.6586   38.9295 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8887   19.0560   40.6469 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2014   18.0247   40.5756 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0235   19.4596   41.6979 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7525   18.1982   44.6082 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0788   18.6672   45.4411 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2505   19.0332   43.6082 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6329   20.3268   43.6762 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2463   21.2440   42.7999 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5814   22.2673   42.8833 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0750   21.7582   40.7748 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7658   22.7924   40.8077 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9182   21.3157   39.7813 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2689   22.0145   39.0362 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5662   18.5917   42.6459 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8741   16.7261   44.6210 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  6  2  0
-  1 11  1  0
-  1 13  1  0
-  2  3  1  0
-  2  4  2  0
-  2 15  1  0
-  4  5  1  0
-  4  6  1  0
-  6 17  1  0
-  7  8  1  0
-  7  9  1  0
-  9 10  1  0
-  9 17  2  0
- 10 11  2  0
- 11 12  1  0
- 13 14  1  0
- 13 15  2  0
- 15 16  1  0
-  7 18  1  0
-V   18 *
-M  END
->  <kinase>  (50) 
-CRK7
-
->  <family>  (50) 
-CDK
-
->  <group>  (50) 
+>  <group>  (90) 
 CMGC
 
->  <complex_pdb>  (50) 
-6ckx
+>  <complex_pdb>  (90) 
+6i5k
 
->  <ligand_pdb>  (50) 
-8M1
+>  <ligand_pdb>  (90) 
+H3H
 
->  <alt>  (50) 
- 
+>  <alt>  (90) 
+A
 
->  <chain>  (50) 
+>  <chain>  (90) 
 C
 
->  <atom.prop.subpocket>  (50) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (90) 
+AP AP AP AP AP AP AP AP AP AP AP AP GA SE
 
->  <atom.prop.environment>  (50) 
-14 14 14 14 14 14 5 5 14 14 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (90) 
+14 16 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
-5uyj_altB_chainA
+6r6x_chainA
      RDKit          3D
 
- 21 22  0  0  0  0  0  0  0  0999 V2000
-    1.0533   21.3564   41.4066 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4259   22.0371   40.6555 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3594   20.0132   41.3340 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2779   21.0660   43.3798 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2598   21.8359   42.4540 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0768   22.8989   42.5076 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0254   19.7252   43.3503 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5242   18.9020   44.3590 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1431   19.3396   45.1283 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2791   17.5524   44.3704 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7447   16.6579   45.2944 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4460   17.1764   46.4248 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.7547   16.3536   47.0696 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3264   17.7231   46.0867 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7924   17.8484   46.9809 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5783   16.9798   43.4213 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8300   15.9315   43.4863 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0953   17.7410   42.4173 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6929   17.2700   41.6509 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8648   19.1433   42.3566 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1418   19.5148   40.1576 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -0.1225   16.4339   43.1273 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0793   15.3823   42.8436 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1593   16.7203   43.3036 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4570   16.5887   44.0374 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4358   17.2566   42.0451 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8951   16.7128   40.9222 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9083   15.6564   40.6978 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5665   18.5883   41.9958 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2071   19.4946   42.9399 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2472   19.1751   43.8661 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4347   20.8364   42.6912 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1677   21.5931   43.4140 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0214   21.1754   41.4734 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2126   22.2151   41.2521 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3726   20.1918   40.5204 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8265   20.4841   39.5850 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1412   18.8904   40.7787 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3443   17.6964   40.1034 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8877   17.4216   38.8536 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  2  0
+  1  3  1  0
+  1  4  1  0
   1  5  1  0
-  3 20  1  0
-  4  5  2  0
-  4  7  1  0
   5  6  1  0
-  7  8  1  0
-  7 20  2  0
-  8  9  1  0
-  8 10  2  0
- 10 11  1  0
- 10 16  1  0
+  5  8  1  0
+  6  7  1  0
+  6 18  2  0
+  8  9  2  0
+  8 17  1  0
+  9 10  1  0
+  9 11  1  0
  11 12  1  0
- 12 13  1  0
- 12 14  1  0
- 12 15  1  0
- 16 17  1  0
- 16 18  2  0
- 18 19  1  0
- 18 20  1  0
-  3 21  1  0
-V   21 *
+ 11 13  2  0
+ 13 14  1  0
+ 13 15  1  0
+ 15 16  1  0
+ 15 17  2  0
+ 17 18  1  0
+ 19 18  1  0
+V   19 *
 M  END
->  <kinase>  (51) 
-CaMKK2
+>  <kinase>  (91) 
+CLK1
 
->  <family>  (51) 
-CAMKK
+>  <family>  (91) 
+CLK
 
->  <group>  (51) 
-Other
+>  <group>  (91) 
+CMGC
 
->  <complex_pdb>  (51) 
-5uyj
+>  <complex_pdb>  (91) 
+6r6x
 
->  <ligand_pdb>  (51) 
-8R7
+>  <ligand_pdb>  (91) 
+JU8
 
->  <alt>  (51) 
-B
+>  <alt>  (91) 
+ 
 
->  <chain>  (51) 
+>  <chain>  (91) 
 A
 
->  <atom.prop.subpocket>  (51) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <atom.prop.subpocket>  (91) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (51) 
-16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 16 16 16 16 16 na
+>  <atom.prop.environment>  (91) 
+8 8 8 8 9 9 9 9 9 9 9 9 9 9 9 9 9 16 na
 
 $$$$
-4txc_chainA
+6yta_altB_chainA
      RDKit          3D
 
  14 15  0  0  0  0  0  0  0  0999 V2000
-    1.8672   20.4643   39.8157 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7135   21.7276   40.3866 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0412   22.6072   39.8524 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1356   21.8509   41.6487 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9604   22.8234   42.0847 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5834   19.3968   40.5666 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0402   19.5503   41.7202 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8061   20.7435   42.3014 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2609   20.5517   43.5072 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1373   19.2211   43.6728 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2738   18.7275   44.5411 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6129   18.6120   42.5731 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5347   20.3654   38.5949 *   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6580   17.2686   42.4042 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6206   16.4291   43.0432 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2831   16.8210   44.2428 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8285   16.0879   44.8186 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2327   18.1108   44.6664 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7060   18.4047   45.5916 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0762   17.2324   42.2683 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0581   18.5865   42.7235 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5524   19.0571   43.8772 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4720   20.3775   43.9617 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1916   20.7667   42.8298 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4136   21.7965   42.5917 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5471   19.7030   42.0246 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7600   15.1386   42.5683 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2198   19.7419   40.7024 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  6  2  0
   2  3  1  0
@@ -3345,3704 +6086,3593 @@ $$$$
   9 10  1  0
  10 11  1  0
  10 12  2  0
-  1 13  1  0
+ 13  1  1  0
  12 14  1  0
 V   13 *
 V   14 *
 M  END
->  <kinase>  (52) 
-DAPK1
+>  <kinase>  (92) 
+CLK1
 
->  <family>  (52) 
-DAPK
+>  <family>  (92) 
+CLK
 
->  <group>  (52) 
-CAMK
+>  <group>  (92) 
+CMGC
 
->  <complex_pdb>  (52) 
-4txc
+>  <complex_pdb>  (92) 
+6yta
 
->  <ligand_pdb>  (52) 
-38G
+>  <ligand_pdb>  (92) 
+IYZ
 
->  <alt>  (52) 
- 
+>  <alt>  (92) 
+B
 
->  <chain>  (52) 
+>  <chain>  (92) 
 A
 
->  <atom.prop.subpocket>  (52) 
-AP AP AP AP AP AP AP AP AP AP AP AP GA FP
+>  <atom.prop.subpocket>  (92) 
+AP AP AP AP AP AP AP AP AP AP AP AP FP GA
 
->  <atom.prop.environment>  (52) 
+>  <atom.prop.environment>  (92) 
 14 14 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
-5a4l_altB_chainC
+7o9y_chainA
      RDKit          3D
 
  16 17  0  0  0  0  0  0  0  0999 V2000
-    1.9243   18.0564   39.7536 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3997   18.8085   40.7497 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8040   18.3868   41.8745 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7046   17.3273   42.0588 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3096   19.2985   42.8124 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3128   18.8591   43.9880 F   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4410   20.6601   42.5671 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0686   21.3900   43.2706 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0656   21.0553   41.3904 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1850   22.1063   41.1723 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5186   20.1429   40.5284 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2703   20.3511   39.1243 S   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4595   18.7736   38.7618 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0524   18.3798   37.6237 N   0  0  0  0  0  0  0  0  0  0  0  0
-    3.3096   19.0945   36.9579 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.3313   17.0909   37.3026 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0609   19.1557   43.1720 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4799   18.5857   43.9880 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0246   20.5449   43.2659 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4228   21.0685   44.1224 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5587   21.2277   42.1852 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6646   22.3024   42.1978 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9961   20.4761   41.0973 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3922   21.0098   40.2460 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9601   19.1228   41.0303 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4100   18.5046   42.0960 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4469   17.1664   41.8204 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1097   16.4441   42.4406 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9887   16.9427   40.6206 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1201   15.9844   40.1401 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3373   18.1395   40.1297 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9080   18.1642   38.8938 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1 13  2  0
-  2  3  2  0
-  2 11  1  0
+  1  3  2  0
+  1 10  1  0
   3  4  1  0
   3  5  1  0
   5  6  1  0
   5  7  2  0
   7  8  1  0
   7  9  1  0
-  9 10  1  0
-  9 11  2  0
+  9 10  2  0
+  9 15  1  0
+ 10 11  1  0
  11 12  1  0
- 12 13  1  0
+ 11 13  1  0
  13 14  1  0
- 14 15  1  0
- 14 16  1  0
+ 13 15  2  0
+ 16 15  1  0
 V   16 *
 M  END
->  <kinase>  (53) 
-DYRK1A
-
->  <family>  (53) 
-DYRK
-
->  <group>  (53) 
-CMGC
-
->  <complex_pdb>  (53) 
-5a4l
-
->  <ligand_pdb>  (53) 
-ZC3
-
->  <alt>  (53) 
-B
-
->  <chain>  (53) 
-C
-
->  <atom.prop.subpocket>  (53) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
-
->  <atom.prop.environment>  (53) 
-14 14 14 14 14 14 14 14 14 14 14 14 14 5 5 na
-
-$$$$
-3i5z_chainA
-     RDKit          3D
-
- 15 15  0  0  0  0  0  0  0  0999 V2000
-    1.5905   21.1829   40.9598 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5789   22.2159   41.3074 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1924   21.1361   39.9462 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6143   20.8090   40.9656 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7419   20.3368   41.8719 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1035   20.9532   42.9334 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2286   22.0128   43.1006 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6620   20.2373   43.7439 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8289   18.9305   43.5794 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6469   18.2531   44.4847 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1392   18.8306   45.1512 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2464   18.3091   42.5712 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5445   18.9446   41.7007 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8732   16.8697   44.5874 *   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1228   18.1331   40.5910 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  4  1  0
-  1  5  1  0
-  5  6  2  0
-  5 13  1  0
-  6  7  1  0
-  6  8  1  0
-  8  9  2  0
-  9 10  1  0
-  9 12  1  0
- 10 11  1  0
- 12 13  2  0
- 10 14  1  0
- 13 15  1  0
-V   14 *
-V   15 *
-M  END
->  <kinase>  (54) 
-Erk2
+>  <kinase>  (93) 
+CLK1
 
->  <family>  (54) 
-MAPK
+>  <family>  (93) 
+CLK
 
->  <group>  (54) 
+>  <group>  (93) 
 CMGC
 
->  <complex_pdb>  (54) 
-3i5z
+>  <complex_pdb>  (93) 
+7o9y
 
->  <ligand_pdb>  (54) 
-Z48
+>  <ligand_pdb>  (93) 
+V5T
 
->  <alt>  (54) 
+>  <alt>  (93) 
  
 
->  <chain>  (54) 
-A
-
->  <atom.prop.subpocket>  (54) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
-
->  <atom.prop.environment>  (54) 
-8 8 8 8 14 14 14 14 14 5 5 14 14 na na
-
-$$$$
-6g91_altB_chainA
-     RDKit          3D
-
- 12 12  0  0  0  0  0  0  0  0999 V2000
-    0.8536   20.1786   42.4440 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0156   20.8141   43.3258 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0867   21.8876   43.2677 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6799   20.1462   44.2566 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5020   18.8114   44.2720 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9656   18.8032   42.5392 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6140   18.2805   41.8516 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7365   21.0698   41.2333 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1843   18.1279   45.2111 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6601   18.6605   45.9252 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2942   18.1034   43.4579 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2860   16.6661   45.2713 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  6  1  0
-  1  8  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  2  0
-  5  9  1  0
-  5 11  1  0
-  6  7  1  0
-  6 11  2  0
-  9 10  1  0
-  9 12  1  0
-V   12 *
-M  END
->  <kinase>  (55) 
-Erk2
-
->  <family>  (55) 
-MAPK
-
->  <group>  (55) 
-CMGC
-
->  <complex_pdb>  (55) 
-6g91
-
->  <ligand_pdb>  (55) 
-EQW
-
->  <alt>  (55) 
-B
-
->  <chain>  (55) 
+>  <chain>  (93) 
 A
 
->  <atom.prop.subpocket>  (55) 
-AP AP AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (93) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (55) 
-14 14 14 14 14 14 14 14 5 5 14 na
+>  <atom.prop.environment>  (93) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-6gdq_altA_chainA
+6fyk_altB_chainB
      RDKit          3D
 
- 13 13  0  0  0  0  0  0  0  0999 V2000
-   -1.0732   18.1777   45.0290 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3044   18.6984   45.8630 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4619   18.8539   44.0260 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0973   18.1953   42.9234 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0277   17.1206   42.8412 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7374   18.9248   41.9427 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6956   20.3147   42.0699 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1125   20.9019   43.1764 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1320   21.9782   43.2638 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4384   21.3484   40.9102 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4717   20.1927   44.1378 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4241   16.7689   45.0075 *   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2560   18.1814   40.7671 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    1.6503   20.8576   39.6775 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0196   21.2848   38.7569 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7148   21.1041   41.8521 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7387   19.7287   42.0080 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1624   19.5614   43.3853 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0566   18.2539   44.0952 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2678   17.4339   43.4546 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1158   18.1382   44.3251 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5194   18.2419   45.0205 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6644   19.4546   39.8374 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2092   18.8639   41.0226 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2223   17.7935   41.1653 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1699   21.7120   40.6813 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1531   22.7844   40.5545 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1096   20.7142   43.8529 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5089   20.8827   44.7652 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2094   21.6864   42.9604 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1844   18.5872   38.7521 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  1  0
-  3  4  2  0
-  3 11  1  0
-  4  5  1  0
-  4  6  1  0
-  6  7  2  0
-  7  8  1  0
-  7 10  1  0
-  8  9  1  0
-  8 11  2  0
-  1 12  1  0
-  6 13  1  0
-V   12 *
-V   13 *
+  1 10  1  0
+  1 13  2  0
+  3  4  1  0
+  3 13  1  0
+  3 17  2  0
+  4  5  2  0
+  4 11  1  0
+  5  6  1  0
+  5 15  1  0
+  6  7  1  0
+  6  8  1  0
+  6  9  1  0
+ 10 11  2  0
+ 11 12  1  0
+ 13 14  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 18 10  1  0
+V   18 *
 M  END
->  <kinase>  (56) 
-Erk2
+>  <kinase>  (94) 
+CLK2
 
->  <family>  (56) 
-MAPK
+>  <family>  (94) 
+CLK
 
->  <group>  (56) 
+>  <group>  (94) 
 CMGC
 
->  <complex_pdb>  (56) 
-6gdq
+>  <complex_pdb>  (94) 
+6fyk
 
->  <ligand_pdb>  (56) 
-EVK
+>  <ligand_pdb>  (94) 
+EAZ
 
->  <alt>  (56) 
-A
+>  <alt>  (94) 
+B
 
->  <chain>  (56) 
-A
+>  <chain>  (94) 
+B
 
->  <atom.prop.subpocket>  (56) 
-AP AP AP AP AP AP AP AP AP AP AP SE FP
+>  <atom.prop.subpocket>  (94) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (56) 
-5 5 16 16 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (94) 
+14 14 14 14 14 8 8 8 8 16 14 14 14 14 14 14 14 na
 
 $$$$
-6hkn_altA_chainA
+8bua_chainB
      RDKit          3D
 
- 20 21  0  0  0  0  0  0  0  0999 V2000
-    1.4491   19.9248   41.8194 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3484   18.7594   44.8688 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8068   19.1795   45.7519 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3812   21.2276   42.0734 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7959   21.7065   43.1610 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7712   22.7766   43.3051 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2427   20.9356   44.0743 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2415   19.6041   43.9164 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3438   17.3868   44.6779 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9131   16.5676   45.6005 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0255   15.7719   45.1802 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3777   15.1688   46.0171 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.7167   15.1173   44.3652 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.8297   16.4233   44.8381 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2670   16.8330   43.5437 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2753   15.7610   43.4133 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8488   17.6270   42.6060 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3090   17.1775   41.7385 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8595   19.0347   42.7514 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1047   19.4642   40.5436 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  4  2  0
-  1 19  1  0
-  2  3  1  0
-  2  8  1  0
-  2  9  2  0
-  4  5  1  0
-  5  6  1  0
-  5  7  2  0
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+    2.3169   20.7031   40.5655 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0442   20.8500   39.7808 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1321   19.4418   41.0853 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6992   18.5952   40.7274 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1871   19.3077   42.0867 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4460   20.3926   42.5621 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6507   21.6586   42.0281 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0918   22.5104   42.3865 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5855   21.7945   41.0304 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7573   22.7687   40.5969 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1805   18.6940   43.6905 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4208   19.9794   43.5685 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7457   18.2224   42.8179 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0523   17.2648   42.7220 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8915   17.9201   44.5714 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6959   18.3421   45.0128 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6039   16.6292   44.9015 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  9  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  2  0
+  5 13  1  0
+  6  7  1  0
+  6 12  1  0
   7  8  1  0
-  8 19  2  0
+  7  9  2  0
   9 10  1  0
-  9 15  1  0
- 10 11  1  0
- 11 12  1  0
+ 11 12  2  0
  11 13  1  0
- 11 14  1  0
+ 11 15  1  0
+ 13 14  1  0
  15 16  1  0
- 15 17  2  0
- 17 18  1  0
- 17 19  1  0
-  1 20  1  0
-V   20 *
+ 17 15  1  0
+V   17 *
 M  END
->  <kinase>  (57) 
-Erk5
+>  <kinase>  (95) 
+CRK7
 
->  <family>  (57) 
-MAPK
+>  <family>  (95) 
+CDK
 
->  <group>  (57) 
+>  <group>  (95) 
 CMGC
 
->  <complex_pdb>  (57) 
-6hkn
+>  <complex_pdb>  (95) 
+8bua
 
->  <ligand_pdb>  (57) 
-G9E
+>  <ligand_pdb>  (95) 
+RVH
 
->  <alt>  (57) 
-A
+>  <alt>  (95) 
+ 
 
->  <chain>  (57) 
-A
+>  <chain>  (95) 
+B
 
->  <atom.prop.subpocket>  (57) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <atom.prop.subpocket>  (95) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (57) 
-14 14 14 14 14 14 14 14 14 3 3 3 3 3 14 14 14 14 14 na
+>  <atom.prop.environment>  (95) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 5 5 na
 
 $$$$
-4k8a_chainB
+5uy6_chainA
      RDKit          3D
 
- 11 11  0  0  0  0  0  0  0  0999 V2000
-    0.0788   18.5572   43.6484 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6000   20.7791   44.1311 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8784   19.0404   42.5959 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4599   18.3617   41.9895 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6600   19.4848   44.4028 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2838   19.1377   45.2133 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9048   20.4124   42.3517 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9518   21.1114   40.9378 Br  0  0  0  0  0  0  0  0  0  0  0  0
-    0.1287   21.2591   43.1355 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1204   22.3194   42.9301 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0151   17.1032   43.9481 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    1.3525   21.8024   41.0112 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7554   22.5628   40.3587 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5741   20.3603   40.8727 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4840   20.6598   43.7710 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5463   22.0350   42.1092 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2663   20.8315   42.6825 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8679   19.7788   41.9858 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6812   18.4787   42.4348 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1257   17.6417   41.9168 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1029   18.2856   43.5825 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6677   19.4097   44.2135 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2757   19.2572   45.0930 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3311   19.7435   39.7695 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3592   16.9270   44.1295 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
   1  3  2  0
   1  5  1  0
-  2  5  2  0
-  2  9  1  0
-  3  4  1  0
   3  7  1  0
+  4  6  1  0
+  4 11  2  0
   5  6  1  0
+  6  7  2  0
   7  8  1  0
-  7  9  2  0
-  9 10  1  0
-  1 11  1  0
-V   11 *
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 11 12  1  0
+ 13  3  1  0
+ 10 14  1  0
+V   13 *
+V   14 *
 M  END
->  <kinase>  (58) 
-FAK
+>  <kinase>  (96) 
+CaMKK2
 
->  <family>  (58) 
-FAK
+>  <family>  (96) 
+CAMKK
 
->  <group>  (58) 
-TK
+>  <group>  (96) 
+Other
 
->  <complex_pdb>  (58) 
-4k8a
+>  <complex_pdb>  (96) 
+5uy6
 
->  <ligand_pdb>  (58) 
-K8A
+>  <ligand_pdb>  (96) 
+8R4
 
->  <alt>  (58) 
+>  <alt>  (96) 
  
 
->  <chain>  (58) 
-B
+>  <chain>  (96) 
+A
 
->  <atom.prop.subpocket>  (58) 
-AP AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (96) 
+AP AP AP AP AP AP AP AP AP AP AP AP GA SE
 
->  <atom.prop.environment>  (58) 
-16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (96) 
+16 16 16 16 16 16 16 16 16 16 16 16 na na
 
 $$$$
-3gb2_altA_chainA
+5uyj_altA_chainA
      RDKit          3D
 
- 15 16  0  0  0  0  0  0  0  0999 V2000
-    0.0870   18.0974   42.9366 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8227   18.6983   41.7763 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7521   20.1275   42.0008 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0455   20.3872   43.1795 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3754   19.1128   43.7781 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9349   18.9853   44.6931 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3210   21.0258   41.1385 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2772   22.0914   41.3087 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4686   18.1899   40.6680 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5235   17.1278   40.4798 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0423   19.1116   39.8107 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9552   20.4830   40.0357 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4031   21.1530   39.3168 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7224   18.6488   38.5839 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1227   16.6543   43.1890 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 21 22  0  0  0  0  0  0  0  0999 V2000
+    1.0533   21.3564   41.4066 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4259   22.0371   40.6555 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3594   20.0132   41.3340 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2779   21.0660   43.3798 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2598   21.8359   42.4540 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0768   22.8989   42.5076 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0254   19.7252   43.3503 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5242   18.9020   44.3590 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1431   19.3396   45.1283 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2791   17.5524   44.3704 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7447   16.6579   45.2944 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4460   17.1764   46.4248 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7547   16.3536   47.0696 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3264   17.7231   46.0867 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7924   17.8484   46.9809 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5783   16.9798   43.4213 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8300   15.9315   43.4863 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0953   17.7410   42.4173 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6929   17.2700   41.6509 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8648   19.1433   42.3566 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1418   19.5148   40.1576 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  5  2  0
-  2  3  2  0
-  2  9  1  0
-  3  4  1  0
-  3  7  1  0
-  4  5  1  0
+  1  3  2  0
+  1  5  1  0
+  3 20  1  0
+  4  5  2  0
+  4  7  1  0
   5  6  1  0
   7  8  1  0
-  7 12  2  0
-  9 10  1  0
-  9 11  2  0
+  7 20  2  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 10 16  1  0
  11 12  1  0
  12 13  1  0
- 11 14  1  0
-  1 15  1  0
-V   14 *
-V   15 *
+ 12 14  1  0
+ 12 15  1  0
+ 16 17  1  0
+ 16 18  2  0
+ 18 19  1  0
+ 18 20  1  0
+ 21  3  1  0
+V   21 *
 M  END
->  <kinase>  (59) 
-GSK3B
+>  <kinase>  (97) 
+CaMKK2
 
->  <family>  (59) 
-GSK
+>  <family>  (97) 
+CAMKK
 
->  <group>  (59) 
-CMGC
+>  <group>  (97) 
+Other
 
->  <complex_pdb>  (59) 
-3gb2
+>  <complex_pdb>  (97) 
+5uyj
 
->  <ligand_pdb>  (59) 
-G3B
+>  <ligand_pdb>  (97) 
+8R7
 
->  <alt>  (59) 
+>  <alt>  (97) 
 A
 
->  <chain>  (59) 
+>  <chain>  (97) 
 A
 
->  <atom.prop.subpocket>  (59) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP
+>  <atom.prop.subpocket>  (97) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (59) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (97) 
+16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 16 16 16 16 16 na
 
 $$$$
-3q3b_chainA
+5yvc_chainA
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    1.5601   18.9510   40.5505 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0567   18.3468   41.7220 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1403   17.2776   41.8495 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4497   19.1178   42.7214 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0772   18.4143   43.9638 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1093   17.3436   43.8816 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1491   18.5905   44.0540 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4307   18.8050   44.8455 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3450   20.5328   42.5471 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2379   21.3374   43.4942 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2553   22.2723   43.2771 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8510   21.1432   41.3722 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7712   22.2122   41.2408 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4563   20.3562   40.3794 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8433   20.8206   39.4844 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2396   18.1175   39.4860 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
+ 18 18  0  0  0  0  0  0  0  0999 V2000
+    0.3874   19.7846   42.3435 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0299   20.1599   43.1832 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3695   19.6841   40.2814 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8447   20.5466   41.2570 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7272   22.0311   41.2820 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2611   22.3429   42.2167 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1149   22.3613   40.4428 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7195   22.4755   41.2049 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1898   18.3466   40.8040 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5655   17.0752   40.1540 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0008   17.2818   39.1763 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6786   16.4532   40.0328 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2943   16.5521   40.7731 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5981   18.4240   42.0850 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2206   17.3284   43.0056 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6747   16.3709   42.7976 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6152   17.3568   44.0739 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9079   20.1635   38.9447 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  4  1  0
   1 14  1  0
-  2  3  1  0
-  2  4  1  0
+  3  4  2  0
+  3  9  1  0
   4  5  1  0
-  4  9  2  0
   5  6  1  0
   5  7  1  0
   5  8  1  0
   9 10  1  0
-  9 12  1  0
+  9 14  2  0
  10 11  1  0
- 12 13  1  0
- 12 14  2  0
+ 10 12  1  0
+ 10 13  1  0
  14 15  1  0
-  1 16  1  0
-V   16 *
+ 15 16  1  0
+ 15 17  2  0
+ 18  3  1  0
+V   17 *
+V   18 *
 M  END
->  <kinase>  (60) 
-GSK3B
+>  <kinase>  (98) 
+CaMKK2
 
->  <family>  (60) 
-GSK
+>  <family>  (98) 
+CAMKK
 
->  <group>  (60) 
-CMGC
+>  <group>  (98) 
+Other
 
->  <complex_pdb>  (60) 
-3q3b
+>  <complex_pdb>  (98) 
+5yvc
 
->  <ligand_pdb>  (60) 
-55E
+>  <ligand_pdb>  (98) 
+SU6
 
->  <alt>  (60) 
+>  <alt>  (98) 
  
 
->  <chain>  (60) 
+>  <chain>  (98) 
 A
 
->  <atom.prop.subpocket>  (60) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (98) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
 
->  <atom.prop.environment>  (60) 
-16 16 16 16 8 8 8 8 16 3 3 16 16 16 16 na
+>  <atom.prop.environment>  (98) 
+7 7 16 14 8 8 8 8 16 8 8 8 8 7 7 7 na na
 
 $$$$
-4rvt_altA_chainA
+5av0_chainA
      RDKit          3D
 
- 13 13  0  0  0  0  0  0  0  0999 V2000
-    1.3853   19.0447   41.0213 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0739   20.3659   41.3435 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4894   21.1711   40.7558 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2791   20.6417   42.3563 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0738   21.6067   42.5725 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2904   19.6279   43.1433 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0292   18.2699   42.8787 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8224   18.0141   41.7980 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0994   16.7136   41.5015 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6766   16.0683   42.0728 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0128   19.9937   44.0618 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5604   17.1829   43.6119 *   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2418   18.8561   39.9289 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  8  1  0
-  2  3  1  0
-  2  4  1  0
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    1.1458   20.9469   41.3341 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3779   21.9681   41.0703 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3913   20.6790   42.4778 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0952   19.3745   42.8266 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4857   19.1647   43.7126 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6014   19.9014   40.5303 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1765   20.1112   39.6405 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3112   18.5897   40.8811 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5528   18.3378   42.0258 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2651   17.0495   42.3735 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7055   16.0407   41.5683 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4614   15.0246   41.8410 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4502   16.2513   40.4180 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7759   17.5588   40.0693 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0704   21.6860   43.2633 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5832   21.4043   44.0245 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4282   17.8189   39.0560 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8557   15.1387   39.6750 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  6  1  0
+  3  4  1  0
+  3 15  1  0
   4  5  1  0
-  4  6  1  0
+  4  9  2  0
   6  7  1  0
-  6 11  2  0
-  7  8  2  0
+  6  8  2  0
   8  9  1  0
+  8 14  1  0
   9 10  1  0
-  7 12  1  0
-  1 13  1  0
-V   12 *
-V   13 *
-M  END
->  <kinase>  (61) 
-HGK
-
->  <family>  (61) 
-STE20
-
->  <group>  (61) 
-STE
-
->  <complex_pdb>  (61) 
-4rvt
-
->  <ligand_pdb>  (61) 
-3XM
-
->  <alt>  (61) 
-A
-
->  <chain>  (61) 
-A
-
->  <atom.prop.subpocket>  (61) 
-AP AP AP AP AP AP AP AP AP AP AP SE GA
-
->  <atom.prop.environment>  (61) 
-16 16 16 16 16 16 16 16 3 3 16 na na
-
-$$$$
-4u43_altB_chainA
-     RDKit          3D
-
- 16 17  0  0  0  0  0  0  0  0999 V2000
-   -1.9099   16.3887   44.4105 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.4211   15.6477   45.0072 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1743   17.8052   41.6959 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6454   17.4144   42.7854 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1169   16.1888   43.2415 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9141   15.2328   42.7818 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8662   17.7996   44.6025 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3646   18.3135   45.4111 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6425   16.8838   40.6957 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3543   15.9191   40.7753 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1530   18.3999   43.6866 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8710   19.7875   43.5254 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1198   20.2171   42.4904 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0528   21.2704   42.3257 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4429   19.2271   41.6149 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4951   17.2395   39.5857 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  5  1  0
-  1  7  2  0
-  3  4  1  0
-  3  9  1  0
-  3 15  2  0
-  4  5  2  0
-  4 11  1  0
-  5  6  1  0
-  7  8  1  0
-  7 11  1  0
-  9 10  1  0
+ 10 11  1  0
  11 12  1  0
- 12 13  2  0
+ 11 13  2  0
  13 14  1  0
- 13 15  1  0
-  9 16  1  0
-V   16 *
+ 14 17  2  0
+ 15 16  1  0
+ 13 18  1  0
+V   18 *
 M  END
->  <kinase>  (62) 
-HGK
+>  <kinase>  (99) 
+DAPK1
 
->  <family>  (62) 
-STE20
+>  <family>  (99) 
+DAPK
 
->  <group>  (62) 
-STE
+>  <group>  (99) 
+CAMK
 
->  <complex_pdb>  (62) 
-4u43
+>  <complex_pdb>  (99) 
+5av0
 
->  <ligand_pdb>  (62) 
-3D8
+>  <ligand_pdb>  (99) 
+47X
 
->  <alt>  (62) 
-B
+>  <alt>  (99) 
+ 
 
->  <chain>  (62) 
+>  <chain>  (99) 
 A
 
->  <atom.prop.subpocket>  (62) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <atom.prop.subpocket>  (99) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (62) 
-14 14 14 14 14 14 14 14 5 5 14 14 14 14 14 na
+>  <atom.prop.environment>  (99) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 3 3 16 na
 
 $$$$
-6nfy_altA_chainB
+7ccu_altA_chainA
      RDKit          3D
 
- 16 17  0  0  0  0  0  0  0  0999 V2000
-    2.4602   19.8564   40.1242 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0258   20.3316   39.3364 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8273   20.6447   41.1257 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9591   21.7166   41.1350 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5128   17.8191   41.1304 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3669   16.7492   41.1088 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3440   18.4387   40.1661 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8654   18.6084   42.1340 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0048   18.2292   43.2932 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3637   19.4872   43.9644 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0180   20.0144   42.1177 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2520   20.5763   43.2672 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1800   21.5537   43.5113 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0284   19.6382   44.9784 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8616   17.6891   39.1904 F   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3738   16.9453   43.5363 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  2  0
-  1  7  1  0
-  3  4  1  0
-  3 11  1  0
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    0.5588   18.1628   42.4962 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1138   19.1402   43.3863 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3189   18.8555   44.3341 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2307   20.4833   43.0459 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7711   20.8303   41.8383 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8469   21.8749   41.5750 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2215   19.8773   40.9488 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1170   18.5170   41.2611 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4574   17.7611   40.5689 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7181   20.4260   39.7724 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6642   21.4916   39.6046 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1817   21.4758   43.8632 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0575   22.3632   43.5185 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4277   16.8558   42.8793 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7451   16.2123   42.2416 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3325   19.5246   38.7322 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  1 14  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
+  4 12  1  0
   5  6  1  0
-  5  7  2  0
-  5  8  1  0
-  7 15  1  0
+  5  7  1  0
+  7  8  2  0
+  7 10  1  0
   8  9  1  0
-  8 11  2  0
-  9 10  1  0
- 10 12  1  0
- 10 14  2  0
- 11 12  1  0
+ 10 11  1  0
  12 13  1  0
-  9 16  2  0
+ 14 15  1  0
+ 10 16  2  0
 V   16 *
 M  END
->  <kinase>  (63) 
-HPK1
-
->  <family>  (63) 
-STE20
+>  <kinase>  (100) 
+DAPK1
 
->  <group>  (63) 
-STE
+>  <family>  (100) 
+DAPK
 
->  <complex_pdb>  (63) 
-6nfy
+>  <group>  (100) 
+CAMK
 
->  <ligand_pdb>  (63) 
-B49
+>  <complex_pdb>  (100) 
+7ccu
 
->  <alt>  (63) 
+>  <ligand_pdb>  (100) 
+STL
+
+>  <alt>  (100) 
 A
 
->  <chain>  (63) 
-B
+>  <chain>  (100) 
+A
 
->  <atom.prop.subpocket>  (63) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (100) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (63) 
-7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 na
+>  <atom.prop.environment>  (100) 
+16 16 16 16 16 16 16 16 16 7 16 3 3 3 3 na
 
 $$$$
-6bfn_altA_chainA
+5a3x_chainD
      RDKit          3D
 
- 15 15  0  0  0  0  0  0  0  0999 V2000
-   -1.1239   17.6538   43.9027 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8780   17.1411   43.0680 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9065   18.9860   43.8945 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1001   19.7828   44.8144 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4420   19.4262   42.6622 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0735   18.5090   41.7458 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3961   20.7862   42.3670 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7013   21.5229   43.0954 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0531   21.1689   41.1094 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1044   22.2155   40.8479 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4370   20.1996   40.1876 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7875   20.4932   39.2091 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3688   18.8515   40.5273 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6376   16.9533   44.9224 *   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7187   17.8967   39.6526 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+   -0.2687   20.2276   43.6570 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5098   19.3656   44.0039 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8467   21.3833   41.8969 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6038   22.3393   42.3369 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5721   21.3090   40.7156 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9022   22.2166   40.2323 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7752   18.9974   41.8899 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4651   18.0695   42.3474 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8622   17.8750   40.0536 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7031   19.7674   38.7965 S   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4413   20.2024   42.4985 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5541   18.1374   38.9424 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4744   18.9646   40.7465 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8652   20.1254   40.1716 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0215   17.1772   38.1321 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  1  0
-  3  4  2  0
-  3  5  1  0
-  5  6  2  0
-  5  7  1  0
-  6 13  1  0
+  1 11  1  0
+  3  4  1  0
+  3  5  2  0
+  3 11  1  0
+  5  6  1  0
+  5 14  1  0
   7  8  1  0
-  7  9  2  0
-  9 10  1  0
-  9 11  1  0
- 11 12  1  0
- 11 13  2  0
-  1 14  1  0
- 13 15  1  0
-V   14 *
+  7 11  2  0
+  7 13  1  0
+  9 12  2  0
+  9 13  1  0
+ 10 12  1  0
+ 10 14  1  0
+ 13 14  2  0
+ 15 12  1  0
 V   15 *
 M  END
->  <kinase>  (64) 
-IRAK1
+>  <kinase>  (101) 
+DYRK1A
 
->  <family>  (64) 
-IRAK
+>  <family>  (101) 
+DYRK
 
->  <group>  (64) 
-TKL
+>  <group>  (101) 
+CMGC
 
->  <complex_pdb>  (64) 
-6bfn
+>  <complex_pdb>  (101) 
+5a3x
 
->  <ligand_pdb>  (64) 
-DL1
+>  <ligand_pdb>  (101) 
+QIV
 
->  <alt>  (64) 
-A
+>  <alt>  (101) 
+ 
 
->  <chain>  (64) 
-A
+>  <chain>  (101) 
+D
 
->  <atom.prop.subpocket>  (64) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
+>  <atom.prop.subpocket>  (101) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (64) 
-5 5 6 6 14 14 14 14 14 14 14 14 14 na na
+>  <atom.prop.environment>  (101) 
+3 3 16 16 16 16 16 16 16 16 16 14 16 16 na
 
 $$$$
-5t1s_chainC
+5a4e_altA_chainB
      RDKit          3D
 
- 17 18  0  0  0  0  0  0  0  0999 V2000
-   -0.3618   19.9997   44.9450 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8027   18.9400   45.5850 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2209   19.1216   46.5640 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7998   17.6145   45.1633 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1990   17.3677   43.7833 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2927   18.5421   43.0769 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1622   19.8191   43.6906 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8888   18.4788   41.7727 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0014   17.5193   41.2901 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3294   19.6375   41.1091 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1747   20.8654   41.7543 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5133   21.7637   41.2596 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6090   20.9643   42.9901 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4994   21.9378   43.4446 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0696   15.9633   43.1619 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3192   16.5564   46.0839 *   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9394   19.5616   39.7438 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  7  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  2  0
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    2.5108   17.9732   38.9050 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6579   19.5431   38.7136 S   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8477   17.7226   40.0331 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4799   18.8304   40.7041 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8098   18.9036   41.8537 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5027   17.9947   42.3496 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8655   19.9643   40.0834 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5951   21.1656   40.5868 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9200   22.0523   40.0626 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9001   21.2871   41.7782 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6756   22.2588   42.1929 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5013   20.1304   42.4226 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1806   20.1952   43.5951 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3104   19.1714   44.4654 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2279   19.2105   45.4124 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3741   19.3270   44.6455 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1592   18.1968   44.0014 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9820   17.0468   38.0772 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  2  7  1  0
+  3  4  1  0
+  4  5  1  0
+  4  7  2  0
   5  6  1  0
-  6  7  2  0
-  6  8  1  0
-  7 13  1  0
+  5 12  2  0
+  7  8  1  0
   8  9  1  0
   8 10  2  0
  10 11  1  0
- 11 12  1  0
- 11 13  2  0
+ 10 12  1  0
+ 12 13  1  0
  13 14  1  0
-  5 15  1  0
-  4 16  1  0
- 10 17  1  0
-V   15 *
-V   16 *
-V   17 *
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18  1  1  0
+V   18 *
 M  END
->  <kinase>  (65) 
-IRAK4
+>  <kinase>  (102) 
+DYRK1A
 
->  <family>  (65) 
-IRAK
+>  <family>  (102) 
+DYRK
 
->  <group>  (65) 
-TKL
+>  <group>  (102) 
+CMGC
 
->  <complex_pdb>  (65) 
-5t1s
+>  <complex_pdb>  (102) 
+5a4e
 
->  <ligand_pdb>  (65) 
-76Q
+>  <ligand_pdb>  (102) 
+7QQ
 
->  <alt>  (65) 
- 
+>  <alt>  (102) 
+A
 
->  <chain>  (65) 
-C
+>  <chain>  (102) 
+B
 
->  <atom.prop.subpocket>  (65) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE SE GA
+>  <atom.prop.subpocket>  (102) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (65) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 na na na
+>  <atom.prop.environment>  (102) 
+14 16 16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 na
 
 $$$$
-4c61_chainB
+5a4l_altB_chainC
      RDKit          3D
 
- 14 14  0  0  0  0  0  0  0  0999 V2000
-   -0.7656   18.6001   44.4366 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2976   18.9924   45.2003 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1911   19.4728   43.5199 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5359   20.7906   43.5871 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0889   21.3937   42.5967 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0349   22.4482   42.3693 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8490   20.4260   41.8730 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6576   20.6566   40.6716 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6352   21.7161   40.4164 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2525   20.0748   39.8437 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6863   20.3504   40.8617 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6508   19.2218   42.4782 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0720   18.2691   42.1927 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6472   17.2060   44.3592 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    1.9243   18.0564   39.7536 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3997   18.8085   40.7497 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8040   18.3868   41.8745 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7046   17.3273   42.0588 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3096   19.2985   42.8124 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3128   18.8591   43.9880 F   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4410   20.6601   42.5671 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0686   21.3900   43.2706 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0656   21.0553   41.3904 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1850   22.1063   41.1723 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5186   20.1429   40.5284 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2703   20.3511   39.1243 S   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4595   18.7736   38.7618 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0524   18.3798   37.6237 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3096   19.0945   36.9579 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3313   17.0909   37.3026 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  1  0
+  1 13  2  0
+  2  3  2  0
+  2 11  1  0
   3  4  1  0
-  3 12  2  0
-  4  5  2  0
+  3  5  1  0
   5  6  1  0
-  5  7  1  0
+  5  7  2  0
   7  8  1  0
-  7 12  1  0
-  8  9  1  0
-  8 10  1  0
-  8 11  1  0
+  7  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
  12 13  1  0
-  1 14  1  0
-V   14 *
+ 13 14  1  0
+ 14 15  1  0
+ 14 16  1  0
+V   16 *
 M  END
->  <kinase>  (66) 
-JAK2
-
->  <family>  (66) 
-JakA
+>  <kinase>  (103) 
+DYRK1A
 
->  <group>  (66) 
-TK
+>  <family>  (103) 
+DYRK
 
->  <complex_pdb>  (66) 
-4c61
+>  <group>  (103) 
+CMGC
 
->  <ligand_pdb>  (66) 
-LMM
+>  <complex_pdb>  (103) 
+5a4l
 
->  <alt>  (66) 
- 
+>  <ligand_pdb>  (103) 
+ZC3
 
->  <chain>  (66) 
+>  <alt>  (103) 
 B
 
->  <atom.prop.subpocket>  (66) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+>  <chain>  (103) 
+C
 
->  <atom.prop.environment>  (66) 
-5 5 9 9 9 9 9 8 8 8 8 9 9 na
+>  <atom.prop.subpocket>  (103) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
-$$$$
-4gmy_chainA
-     RDKit          3D
+>  <atom.prop.environment>  (103) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 5 5 na
 
- 13 13  0  0  0  0  0  0  0  0999 V2000
-    0.3389   18.1526   42.1511 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5948   19.5176   42.0092 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1028   19.8792   41.1274 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2030   20.4082   42.9879 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3996   21.4631   42.8658 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6482   17.1531   41.2209 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3460   16.2164   41.4477 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4127   19.9735   44.0755 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6761   18.6850   44.2593 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3268   17.7609   43.2952 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5772   16.7200   43.4375 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3053   17.3075   40.0566 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3382   18.2614   45.4146 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  6  1  0
-  1 10  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  1  0
-  4  8  2  0
-  6  7  1  0
-  8  9  1  0
-  9 10  2  0
- 10 11  1  0
+$$$$
+6s17_altA_chainA
+     RDKit          3D
+
+ 18 18  0  0  0  0  0  0  0  0999 V2000
+    0.7004   16.9376   43.5984 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3115   17.0267   42.7003 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2121   16.3893   43.3640 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2588   16.4023   44.3663 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1431   20.5632   43.8238 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5519   19.3843   43.3192 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4172   21.6373   43.0597 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1708   22.6147   43.4475 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9985   21.5596   41.8016 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1848   22.4410   41.2060 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3265   20.2934   41.3511 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1054   19.1966   42.0892 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3556   18.2707   44.0871 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4657   18.3139   45.2919 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4901   17.3254   45.7505 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4791   18.6181   45.0301 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0415   19.0304   45.9953 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9075   20.1081   40.0108 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1 13  1  0
+  5  6  2  0
+  5  7  1  0
   6 12  1  0
-  9 13  1  0
-V   12 *
-V   13 *
+  6 13  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  2  0
+ 13 14  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 11 18  1  0
+V   18 *
 M  END
->  <kinase>  (67) 
-JAK2
+>  <kinase>  (104) 
+DYRK1A
 
->  <family>  (67) 
-JakA
+>  <family>  (104) 
+DYRK
 
->  <group>  (67) 
-TK
+>  <group>  (104) 
+CMGC
 
->  <complex_pdb>  (67) 
-4gmy
+>  <complex_pdb>  (104) 
+6s17
 
->  <ligand_pdb>  (67) 
-0X5
+>  <ligand_pdb>  (104) 
+KQK
 
->  <alt>  (67) 
- 
+>  <alt>  (104) 
+A
 
->  <chain>  (67) 
+>  <chain>  (104) 
 A
 
->  <atom.prop.subpocket>  (67) 
-AP AP AP AP AP AP AP AP AP AP AP FP SE
+>  <atom.prop.subpocket>  (104) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (67) 
-16 16 16 16 16 5 5 16 16 16 16 na na
+>  <atom.prop.environment>  (104) 
+5 5 5 5 14 14 14 14 14 14 14 14 5 5 5 5 5 na
 
 $$$$
-5ut5_altB_chainA
+6s1b_altA_chainA
      RDKit          3D
 
- 14 15  0  0  0  0  0  0  0  0999 V2000
-    0.2050   17.9401   40.9367 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5704   18.8874   39.9841 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0174   18.5649   39.0554 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3678   20.2379   40.2126 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6527   20.9647   39.4662 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1997   20.6476   41.3988 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3704   21.6953   41.5977 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5573   19.6523   42.3600 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2486   18.5315   44.0955 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3521   18.3578   42.1239 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8007   17.6310   43.2168 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1241   19.7733   43.5889 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8591   18.2732   45.3706 *   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4718   16.4487   40.6441 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 10  1  0
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    0.5344   19.4842   43.4501 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4854   21.7294   43.1480 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2616   22.7225   43.5088 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0425   21.6015   41.8912 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2683   22.4612   41.2777 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2962   20.3069   41.4596 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2076   20.6891   43.9438 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2751   18.4276   44.2243 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1478   18.5928   45.1266 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5634   17.0610   43.8488 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0142   17.0443   42.8565 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3616   16.4844   43.8373 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2548   16.6243   44.5694 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0726   19.2409   42.2370 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8331   20.0679   40.1014 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  7  2  0
+  1  8  1  0
+  1 14  1  0
   2  3  1  0
-  2  4  1  0
+  2  4  2  0
+  2  7  1  0
   4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6  8  1  0
+  4  6  1  0
+  6 14  2  0
+  8  9  1  0
   8 10  1  0
-  8 12  2  0
-  9 11  2  0
-  9 12  1  0
  10 11  1  0
-  9 13  1  0
-  1 14  1  0
-V   13 *
-V   14 *
+ 10 12  1  0
+ 10 13  1  0
+  6 15  1  0
+V   15 *
 M  END
->  <kinase>  (68) 
-JAK2-b
+>  <kinase>  (105) 
+DYRK1A
 
->  <family>  (68) 
-JakB
+>  <family>  (105) 
+DYRK
 
->  <group>  (68) 
-TK
+>  <group>  (105) 
+CMGC
 
->  <complex_pdb>  (68) 
-5ut5
+>  <complex_pdb>  (105) 
+6s1b
 
->  <ligand_pdb>  (68) 
-2HB
+>  <ligand_pdb>  (105) 
+KRQ
 
->  <alt>  (68) 
-B
+>  <alt>  (105) 
+A
 
->  <chain>  (68) 
+>  <chain>  (105) 
 A
 
->  <atom.prop.subpocket>  (68) 
-AP AP AP AP AP AP AP AP AP AP AP AP SE FP
+>  <atom.prop.subpocket>  (105) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (68) 
-14 14 14 14 14 14 14 14 14 14 14 14 na na
+>  <atom.prop.environment>  (105) 
+14 14 14 14 14 14 14 5 5 5 5 5 5 14 na
 
 $$$$
-2o2u_chainA
+7a4w_chainA
      RDKit          3D
 
- 22 23  0  0  0  0  0  0  0  0999 V2000
-    1.3305   18.6436   42.5408 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3157   19.5915   42.8892 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3042   17.7895   43.0423 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7576   18.1745   43.8577 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9725   19.5119   44.3008 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1163   20.6208   44.6154 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1887   16.1983   42.7764 S   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1497   15.9139   43.5992 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8242   14.5776   43.7483 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2606   13.9681   44.4546 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8512   14.0793   42.7792 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.2645   14.7547   44.2678 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.6383   13.7879   44.6051 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.8895   15.1220   43.4538 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.3370   15.7541   45.4417 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.7154   15.3842   46.2571 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.3713   15.8272   45.7777 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.8417   17.1669   45.0363 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6202   17.7358   45.9392 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.6291   17.6692   44.4743 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5891   17.1001   44.1766 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3532   18.3524   41.6353 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+   -1.1003   18.9934   44.8002 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4971   19.3136   45.7636 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4949   18.0973   44.9364 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9252   18.7749   44.1220 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2983   20.0272   44.2519 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2977   19.8267   43.0383 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7590   18.6249   42.5407 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6367   17.7175   43.1135 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3796   18.5883   41.3033 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7531   17.6446   40.9342 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5381   19.7292   40.5187 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0553   20.9202   41.0517 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1511   21.8280   40.4746 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4569   20.9785   42.2962 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1142   21.9251   42.6874 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1874   19.6930   39.1702 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  1  0
-  3  4  2  0
-  3  7  1  0
-  4  5  1  0
-  4 21  1  0
-  5  6  3  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  6  7  2  0
+  6 14  1  0
   7  8  1  0
-  8  9  1  0
-  8 21  2  0
+  7  9  1  0
   9 10  1  0
-  9 11  1  0
-  9 12  1  0
+  9 11  2  0
+ 11 12  1  0
  12 13  1  0
- 12 14  1  0
- 12 15  1  0
- 15 16  1  0
- 15 17  1  0
- 15 18  1  0
- 18 19  1  0
- 18 20  1  0
- 18 21  1  0
-  1 22  1  0
-V   22 *
+ 12 14  2  0
+ 14 15  1  0
+ 11 16  1  0
+V   16 *
 M  END
->  <kinase>  (69) 
-JNK3
+>  <kinase>  (106) 
+DYRK1A
 
->  <family>  (69) 
-MAPK
+>  <family>  (106) 
+DYRK
 
->  <group>  (69) 
+>  <group>  (106) 
 CMGC
 
->  <complex_pdb>  (69) 
-2o2u
+>  <complex_pdb>  (106) 
+7a4w
 
->  <ligand_pdb>  (69) 
-738
+>  <ligand_pdb>  (106) 
+QYH
 
->  <alt>  (69) 
+>  <alt>  (106) 
  
 
->  <chain>  (69) 
+>  <chain>  (106) 
 A
 
->  <atom.prop.subpocket>  (69) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <atom.prop.subpocket>  (106) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (69) 
-5 5 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (106) 
+3 3 3 3 3 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-3cgf_chainA
+7aj4_altB_chainA
      RDKit          3D
 
- 15 16  0  0  0  0  0  0  0  0999 V2000
-    0.0112   18.5631   43.1360 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8870   17.8733   43.9435 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6400   18.8542   44.6509 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6531   18.3774   45.5600 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.2541   19.0791   46.1192 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.8493   17.0290   45.7106 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.6076   16.6829   46.3973 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0559   16.0388   44.9632 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.2308   14.9811   45.0939 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1019   16.4811   44.1080 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5053   15.7732   43.5519 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2781   20.0692   44.3422 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2649   19.9088   43.4179 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2603   20.7338   42.9598 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0138   17.9820   42.2181 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    0.9908   16.0913   42.5561 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7425   15.3033   43.2670 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0485   16.0297   42.3001 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3910   15.9692   41.6542 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7137   17.3753   43.1467 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9670   18.4839   42.3929 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6583   19.7188   42.9313 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0048   19.7591   44.5141 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    0.9402   20.8890   42.2585 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7078   21.8481   42.6971 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5302   20.8058   41.0034 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7575   21.7112   40.4603 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8339   19.5636   40.4337 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5654   18.4038   41.1557 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8269   17.4400   40.7446 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4380   19.4455   39.0700 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1 13  2  0
-  2  3  1  0
-  2 10  1  0
-  3  4  1  0
-  3 12  2  0
-  4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6  8  1  0
-  8  9  1  0
-  8 10  2  0
- 10 11  1  0
- 12 13  1  0
- 13 14  1  0
-  1 15  1  0
-V   15 *
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  6  7  2  0
+  6 14  1  0
+  7  8  1  0
+  7  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 11 13  1  0
+ 13 14  2  0
+ 14 15  1  0
+ 13 16  1  0
+V   16 *
 M  END
->  <kinase>  (70) 
-JNK3
+>  <kinase>  (107) 
+DYRK1A
 
->  <family>  (70) 
-MAPK
+>  <family>  (107) 
+DYRK
 
->  <group>  (70) 
+>  <group>  (107) 
 CMGC
 
->  <complex_pdb>  (70) 
-3cgf
+>  <complex_pdb>  (107) 
+7aj4
 
->  <ligand_pdb>  (70) 
-JNF
+>  <ligand_pdb>  (107) 
+RHZ
 
->  <alt>  (70) 
- 
+>  <alt>  (107) 
+B
 
->  <chain>  (70) 
+>  <chain>  (107) 
 A
 
->  <atom.prop.subpocket>  (70) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <atom.prop.subpocket>  (107) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (70) 
-14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (107) 
+3 3 3 3 3 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-3oxi_chainA
+7aj5_altB_chainA
      RDKit          3D
 
- 22 22  0  0  0  0  0  0  0  0999 V2000
-    2.3133   19.6432   41.3760 S   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1209   20.5630   42.4687 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6338   21.2470   42.8278 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9161   18.3425   43.0949 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7827   17.3415   43.0789 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6004   16.1855   42.0792 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0282   19.1671   42.5742 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7282   16.4641   41.5590 O   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2014   18.4700   41.9792 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.2463   20.0756   43.6689 O   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2987   20.9620   41.8474 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5556   21.9968   41.6755 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4639   17.0112   41.8839 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7759   15.0417   41.7634 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7661   14.6699   41.5002 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0276   14.5590   41.1349 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5701   14.8180   42.8102 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0228   18.8658   43.6285 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.0619   17.9268   44.1814 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.9774   18.0450   43.6018 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.2524   18.1957   45.2204 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6500   16.4834   44.1312 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  9  1  0
-  1 11  1  0
-  2  3  1  0
-  2  7  1  0
-  2 11  2  0
-  4  5  1  0
-  4  7  1  0
-  4 18  1  0
-  6 13  2  0
-  7  9  2  0
-  8 13  1  0
-  8 14  1  0
-  9 13  1  0
- 10 18  2  0
- 11 12  1  0
- 14 15  1  0
- 14 16  1  0
- 14 17  1  0
- 18 19  1  0
- 19 20  1  0
- 19 21  1  0
- 19 22  1  0
-V   22 *
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    0.0023   20.1957   44.1701 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7579   19.8328   40.4741 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5121   21.1408   40.9941 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8096   21.9929   40.4010 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9100   21.3710   42.2236 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7345   22.3656   42.6062 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5529   20.2369   42.9197 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1373   18.8582   44.4821 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5667   18.4972   45.4050 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3171   18.0653   43.5168 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3490   16.9858   43.5259 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7590   18.9352   42.4554 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3889   18.7330   41.2361 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5899   17.7319   40.8841 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3481   19.6438   39.1086 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  7  1  0
+  1  8  1  0
+  2  3  2  0
+  2 13  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  1  0
+  5  7  2  0
+  7 12  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 10 12  1  0
+ 12 13  2  0
+ 13 14  1  0
+ 15  2  1  0
+V   15 *
 M  END
->  <kinase>  (71) 
-JNK3
+>  <kinase>  (108) 
+DYRK1A
 
->  <family>  (71) 
-MAPK
+>  <family>  (108) 
+DYRK
 
->  <group>  (71) 
+>  <group>  (108) 
 CMGC
 
->  <complex_pdb>  (71) 
-3oxi
+>  <complex_pdb>  (108) 
+7aj5
 
->  <ligand_pdb>  (71) 
-SYY
+>  <ligand_pdb>  (108) 
+RHW
 
->  <alt>  (71) 
- 
+>  <alt>  (108) 
+B
 
->  <chain>  (71) 
+>  <chain>  (108) 
 A
 
->  <atom.prop.subpocket>  (71) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (108) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (71) 
-14 14 14 5 5 6 14 3 14 8 14 14 6 3 3 3 3 8 8 8 8 na
+>  <atom.prop.environment>  (108) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-3wzd_altA_chainA
+7aj7_chainA
      RDKit          3D
 
- 22 23  0  0  0  0  0  0  0  0999 V2000
-   -2.2462   16.6636   47.6954 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.7105   15.8951   48.3135 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.0055   17.3728   47.3660 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4873   17.1876   48.2764 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6359   16.0532   46.5535 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9808   16.8082   45.6145 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0739   18.1897   45.5543 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6972   18.7072   46.2684 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3779   18.9330   44.5877 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5030   20.2790   44.5386 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1099   20.9550   43.5907 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0768   22.0164   43.5199 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9860   20.3796   42.6731 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5120   20.9992   41.9618 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1770   19.0174   42.6785 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4748   18.2662   43.6667 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5630   16.8666   43.7191 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1960   16.3461   43.0158 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1570   16.1375   44.6686 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0262   18.3420   41.8540 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6360   18.9702   40.7934 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0976   14.6608   44.5925 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    0.4732   16.6974   43.4305 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0405   16.2828   44.3410 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5207   16.4044   43.3599 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0694   16.3176   42.5648 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3769   18.1454   43.4648 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1714   18.9277   44.4241 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6019   18.5282   45.3305 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1355   20.2127   44.1593 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5000   20.2821   42.9253 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8268   21.3739   42.1275 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5909   22.3797   42.4424 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4605   21.1400   40.9227 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7058   21.9859   40.2977 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8046   19.8406   40.4673 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4489   18.7633   41.2768 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6629   17.7526   40.9620 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8192   18.9978   42.4873 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4280   19.6225   39.1241 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  1  0
   1  4  1  0
   1  5  1  0
   5  6  1  0
-  6  7  2  0
-  6 19  1  0
-  7  8  1  0
-  7  9  1  0
-  9 10  2  0
-  9 16  1  0
+  5 17  1  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+  9 10  1  0
+  9 17  2  0
  10 11  1  0
- 11 12  1  0
- 11 13  2  0
- 13 14  1  0
- 13 15  1  0
- 15 16  2  0
- 15 20  1  0
- 16 17  1  0
- 17 18  1  0
- 17 19  2  0
- 20 21  1  0
- 19 22  1  0
-V   21 *
-V   22 *
+ 10 12  2  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  2  0
+ 15 16  1  0
+ 15 17  1  0
+ 14 18  1  0
+V   18 *
 M  END
->  <kinase>  (72) 
-KDR
+>  <kinase>  (109) 
+DYRK1A
 
->  <family>  (72) 
-VEGFR
+>  <family>  (109) 
+DYRK
 
->  <group>  (72) 
-TK
+>  <group>  (109) 
+CMGC
 
->  <complex_pdb>  (72) 
-3wzd
+>  <complex_pdb>  (109) 
+7aj7
 
->  <ligand_pdb>  (72) 
-LEV
+>  <ligand_pdb>  (109) 
+RHT
 
->  <alt>  (72) 
-A
+>  <alt>  (109) 
+ 
 
->  <chain>  (72) 
+>  <chain>  (109) 
 A
 
->  <atom.prop.subpocket>  (72) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA SE
+>  <atom.prop.subpocket>  (109) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (72) 
-3 3 3 3 3 16 16 16 16 16 16 16 16 16 16 16 16 16 16 3 na na
+>  <atom.prop.environment>  (109) 
+8 8 8 8 9 9 9 9 9 9 9 9 9 16 9 9 9 na
 
 $$$$
-4bic_chainA
+6s9b_chainA
      RDKit          3D
 
- 15 16  0  0  0  0  0  0  0  0999 V2000
-   -0.5898   17.8395   43.9882 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9162   16.8876   44.3805 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1619   17.8955   42.8292 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4782   17.0103   42.2974 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9204   19.0150   44.6415 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4799   18.9091   45.5592 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1639   21.1017   41.3695 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6195   21.7914   40.6745 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4801   19.1847   42.3998 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1635   19.7250   41.2763 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0548   20.2873   43.1303 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6268   20.2714   44.2677 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8909   21.0971   44.7859 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4793   21.4288   42.5069 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7777   18.9411   40.1734 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  5  2  0
-  3  4  1  0
-  3  9  2  0
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    0.8170   21.8156   40.7588 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4358   21.0755   39.7490 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6798   21.5488   38.8094 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7421   19.7215   39.9474 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4102   19.1306   41.1719 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6281   18.0844   41.3281 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7976   19.8685   42.2078 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4899   21.2196   41.9707 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0045   21.7988   42.7365 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3940   19.2364   43.4997 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1860   19.9293   44.4804 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1985   17.8862   43.5259 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3999   17.3921   42.6683 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5262   23.1240   40.5642 F   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2427   17.1105   44.5858 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3847   18.8986   38.8749 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  1 14  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
   5  6  1  0
-  5 12  1  0
-  7  8  1  0
-  7 10  2  0
-  7 14  1  0
-  9 10  1  0
-  9 11  1  0
- 11 12  1  0
- 11 14  2  0
+  5  7  1  0
+  7  8  2  0
+  7 10  1  0
+  8  9  1  0
+ 10 11  2  0
+ 10 12  1  0
  12 13  1  0
- 10 15  1  0
+ 12 15  1  0
+  4 16  1  0
 V   15 *
+V   16 *
 M  END
->  <kinase>  (73) 
-MAP3K5
+>  <kinase>  (110) 
+EGFR
 
->  <family>  (73) 
-STE11
+>  <family>  (110) 
+EGFR
 
->  <group>  (73) 
-STE
+>  <group>  (110) 
+TK
 
->  <complex_pdb>  (73) 
-4bic
+>  <complex_pdb>  (110) 
+6s9b
 
->  <ligand_pdb>  (73) 
-IE4
+>  <ligand_pdb>  (110) 
+L1H
 
->  <alt>  (73) 
+>  <alt>  (110) 
  
 
->  <chain>  (73) 
+>  <chain>  (110) 
 A
 
->  <atom.prop.subpocket>  (73) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (110) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (73) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (110) 
+16 16 16 16 16 16 16 16 16 1 1 5 5 16 na na
 
 $$$$
-5v19_chainB
+6s9c_altB_chainA
      RDKit          3D
 
- 13 13  0  0  0  0  0  0  0  0999 V2000
-   -0.2331   19.3697   43.4995 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5538   21.3009   41.8859 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1135   22.1510   42.3859 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1761   19.1970   41.3616 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3227   18.1271   41.3456 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3957   18.0265   43.6355 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0023   17.4423   42.9117 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6796   20.1624   44.3108 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4812   19.8949   42.3116 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2744   21.3199   40.7544 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5176   22.2008   40.1789 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6436   20.0649   40.4548 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0651   17.3700   44.6973 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  6  1  0
-  1  8  2  0
-  1  9  1  0
-  2  3  1  0
-  2  9  1  0
-  2 10  2  0
-  4  5  1  0
-  4  9  2  0
-  4 12  1  0
-  6  7  1  0
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    0.0710   19.3116   43.6271 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5366   19.9645   42.3551 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3053   21.3342   42.1352 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1692   21.9316   42.8995 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1090   19.2484   41.2773 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2698   18.1851   41.3768 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0695   17.9527   43.7088 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4239   17.4589   42.9022 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3882   19.9917   44.5326 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6874   21.9179   40.9346 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5342   22.9769   40.7884 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2360   21.2016   39.9654 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4740   19.8900   40.0777 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3635   17.1583   44.7749 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0968   19.1315   38.9303 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  7  1  0
+  1  9  2  0
+  2  3  2  0
+  2  5  1  0
+  3  4  1  0
+  3 10  1  0
+  5  6  1  0
+  5 13  2  0
+  7  8  1  0
  10 11  1  0
- 10 12  1  0
-  6 13  1  0
-V   13 *
+ 10 12  2  0
+ 12 13  1  0
+ 14  7  1  0
+ 15 13  1  0
+V   14 *
+V   15 *
 M  END
->  <kinase>  (74) 
-MAP3K5
-
->  <family>  (74) 
-STE11
+>  <kinase>  (111) 
+EGFR
 
->  <group>  (74) 
-STE
+>  <family>  (111) 
+EGFR
 
->  <complex_pdb>  (74) 
-5v19
+>  <group>  (111) 
+TK
 
->  <ligand_pdb>  (74) 
-8V4
+>  <complex_pdb>  (111) 
+6s9c
 
->  <alt>  (74) 
- 
+>  <ligand_pdb>  (111) 
+L1K
 
->  <chain>  (74) 
+>  <alt>  (111) 
 B
 
->  <atom.prop.subpocket>  (74) 
-AP AP AP AP AP AP AP AP AP AP AP AP SE
+>  <chain>  (111) 
+A
 
->  <atom.prop.environment>  (74) 
-6 16 16 16 16 5 5 6 16 16 16 16 na
+>  <atom.prop.subpocket>  (111) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
+
+>  <atom.prop.environment>  (111) 
+1 16 16 16 16 16 5 5 1 16 16 16 14 na na
 
 $$$$
-4d2w_altA_chainD
+7vre_chainA
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    2.1876   19.6314   40.3979 Br  0  0  0  0  0  0  0  0  0  0  0  0
-    1.5187   19.5667   42.1763 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5670   18.3736   42.8928 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9933   17.4878   42.4455 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0643   18.3305   44.1837 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0989   17.4089   44.7458 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5146   19.4747   44.7566 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4725   20.6590   44.0221 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0412   21.5448   44.4644 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9746   20.7153   42.7370 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9447   21.6380   42.1765 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0548   19.5201   46.1328 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3937   20.6023   46.6146 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1836   18.3380   46.8017 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1661   17.5225   46.3192 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7453   18.0988   48.0898 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  2  3  2  0
-  2 10  1  0
-  3  4  1  0
-  3  5  1  0
-  5  6  1  0
-  5  7  2  0
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    0.9740   20.3017   42.1434 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2334   21.0295   43.0889 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1473   22.1030   43.0074 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2450   19.0740   44.1723 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0793   18.9114   42.2885 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3594   20.3811   44.0840 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8975   18.4127   45.2655 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3232   18.9907   45.9760 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4515   18.3613   43.2850 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7821   21.1650   40.8143 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9926   16.9328   45.4283 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8083   17.9464   41.2951 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  5  1  0
+  1 10  1  0
+  2  3  1  0
+  2  6  1  0
+  4  6  2  0
+  4  7  1  0
+  4  9  1  0
+  5  9  2  0
   7  8  1  0
-  7 12  1  0
-  8  9  1  0
-  8 10  2  0
- 10 11  1  0
- 12 13  2  0
- 12 14  1  0
- 14 15  1  0
- 14 16  1  0
-V   16 *
+ 11  7  1  0
+  5 12  1  0
+V   11 *
+V   12 *
 M  END
->  <kinase>  (75) 
-MELK
+>  <kinase>  (112) 
+EGFR
 
->  <family>  (75) 
-CAMKL
+>  <family>  (112) 
+EGFR
 
->  <group>  (75) 
-CAMK
+>  <group>  (112) 
+TK
 
->  <complex_pdb>  (75) 
-4d2w
+>  <complex_pdb>  (112) 
+7vre
+
+>  <ligand_pdb>  (112) 
+7VH
 
->  <ligand_pdb>  (75) 
-NF5
+>  <alt>  (112) 
+ 
 
->  <alt>  (75) 
+>  <chain>  (112) 
 A
 
->  <chain>  (75) 
-D
-
->  <atom.prop.subpocket>  (75) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (112) 
+AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (75) 
-16 16 16 16 16 16 16 16 16 16 16 6 6 5 5 na
+>  <atom.prop.environment>  (112) 
+14 14 14 14 14 14 5 5 14 14 na na
 
 $$$$
-4umr_chainA
+8f1z_chainA
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    1.8587   19.5343   40.4643 F   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2887   19.5617   41.7024 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7034   20.7222   42.1260 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7011   21.5990   41.4954 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1140   20.7527   43.3773 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3571   21.6587   43.7289 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1268   19.6188   44.1839 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7394   18.4572   43.7189 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7582   17.5737   44.3398 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3240   18.4303   42.4645 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7983   17.5324   42.0966 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5074   19.6678   45.5400 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4791   20.6963   46.2156 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1056   18.5251   45.9606 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2335   17.8162   45.2526 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5756   18.1869   47.2514 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  2  3  2  0
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    0.6534   18.8380   42.2091 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1832   18.3378   43.4749 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2044   19.2650   44.4727 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5631   18.8632   45.4088 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2654   21.0797   43.1741 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2974   22.1491   43.0270 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6722   20.2454   42.1298 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0189   20.7023   41.2147 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1633   20.6031   44.3523 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0705   16.9926   43.7303 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1971   16.1870   44.0267 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0998   18.0584   40.9917 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  7  1  0
+  2  3  1  0
   2 10  1  0
   3  4  1  0
-  3  5  1  0
+  3  9  2  0
   5  6  1  0
   5  7  2  0
+  5  9  1  0
   7  8  1  0
-  7 12  1  0
-  8  9  1  0
-  8 10  2  0
- 10 11  1  0
- 12 13  2  0
- 12 14  1  0
- 14 15  1  0
- 14 16  1  0
-V   16 *
+ 11 10  1  0
+  1 12  1  0
+V   11 *
+V   12 *
 M  END
->  <kinase>  (76) 
-MELK
+>  <kinase>  (113) 
+EGFR
 
->  <family>  (76) 
-CAMKL
+>  <family>  (113) 
+EGFR
 
->  <group>  (76) 
-CAMK
+>  <group>  (113) 
+TK
 
->  <complex_pdb>  (76) 
-4umr
+>  <complex_pdb>  (113) 
+8f1z
 
->  <ligand_pdb>  (76) 
-QBB
+>  <ligand_pdb>  (113) 
+X9B
 
->  <alt>  (76) 
+>  <alt>  (113) 
  
 
->  <chain>  (76) 
+>  <chain>  (113) 
 A
 
->  <atom.prop.subpocket>  (76) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (113) 
+AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (76) 
-16 16 16 16 16 16 16 16 16 16 16 6 6 5 5 na
+>  <atom.prop.environment>  (113) 
+16 16 16 16 16 16 16 16 16 3 na na
 
 $$$$
-5ih8_chainA
+3i5z_chainA
      RDKit          3D
 
- 19 20  0  0  0  0  0  0  0  0999 V2000
-    0.7403   19.6119   43.0061 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5023   18.6463   43.9385 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7769   17.6036   43.8764 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1895   20.8029   43.5399 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2052   21.7612   43.0422 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4503   17.6119   48.7036 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2254   19.0093   48.5681 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4037   19.6602   49.4113 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2709   16.7810   47.5633 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4551   15.7197   47.6412 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7729   19.5597   47.3495 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5769   20.6191   47.2750 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1594   19.2676   44.9773 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3431   20.5860   44.7216 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5751   18.7184   46.2199 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8534   17.3309   46.3266 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7464   16.6924   45.4622 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9811   17.0486   50.0031 *   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4032   19.4518   41.7105 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    1.5905   21.1829   40.9598 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5789   22.2159   41.3074 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1924   21.1361   39.9462 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6143   20.8090   40.9656 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7419   20.3368   41.8719 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1035   20.9532   42.9334 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2286   22.0128   43.1006 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6620   20.2373   43.7439 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8289   18.9305   43.5794 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6469   18.2531   44.4847 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1392   18.8306   45.1512 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2464   18.3091   42.5712 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5445   18.9446   41.7007 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8732   16.8697   44.5874 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1228   18.1331   40.5910 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
   1  4  1  0
-  2  3  1  0
-  2 13  1  0
-  4  5  1  0
-  4 14  2  0
-  6  7  2  0
-  6  9  1  0
-  7  8  1  0
-  7 11  1  0
+  1  5  1  0
+  5  6  2  0
+  5 13  1  0
+  6  7  1  0
+  6  8  1  0
+  8  9  2  0
   9 10  1  0
-  9 16  2  0
- 11 12  1  0
- 11 15  2  0
- 13 14  1  0
+  9 12  1  0
+ 10 11  1  0
+ 12 13  2  0
+ 10 14  1  0
  13 15  1  0
- 15 16  1  0
- 16 17  1  0
-  6 18  1  0
-  1 19  1  0
-V   18 *
-V   19 *
+V   14 *
+V   15 *
 M  END
->  <kinase>  (77) 
-MELK
+>  <kinase>  (114) 
+Erk2
 
->  <family>  (77) 
-CAMKL
+>  <family>  (114) 
+MAPK
 
->  <group>  (77) 
-CAMK
+>  <group>  (114) 
+CMGC
 
->  <complex_pdb>  (77) 
-5ih8
+>  <complex_pdb>  (114) 
+3i5z
 
->  <ligand_pdb>  (77) 
-6BJ
+>  <ligand_pdb>  (114) 
+Z48
 
->  <alt>  (77) 
+>  <alt>  (114) 
  
 
->  <chain>  (77) 
+>  <chain>  (114) 
 A
 
->  <atom.prop.subpocket>  (77) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
+>  <atom.prop.subpocket>  (114) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (77) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (114) 
+8 8 8 8 16 14 14 14 14 5 5 14 14 na na
 
 $$$$
-3a4p_chainA
+6gdq_altA_chainA
      RDKit          3D
 
- 19 20  0  0  0  0  0  0  0  0999 V2000
-   -0.9017   16.4107   46.4248 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2554   15.5572   46.5669 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4963   17.4882   45.5996 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2565   17.2358   44.4454 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5534   16.2247   44.2090 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6210   18.2704   43.6090 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4083   18.0217   42.4913 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7504   17.0208   42.2733 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8959   18.8106   45.7783 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5164   19.0484   46.6296 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5518   19.7941   44.9537 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1947   19.5746   43.8774 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5516   20.6452   43.0544 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2417   21.6511   43.2962 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3122   20.3936   41.9195 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5607   21.2036   41.2497 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7562   19.1043   41.6401 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5366   18.9480   40.5292 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1525   16.4667   47.0544 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 13 13  0  0  0  0  0  0  0  0999 V2000
+   -1.0732   18.1777   45.0290 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3044   18.6984   45.8630 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4619   18.8539   44.0260 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0973   18.1953   42.9234 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0277   17.1206   42.8412 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7374   18.9248   41.9427 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6956   20.3147   42.0699 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1125   20.9019   43.1764 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1320   21.9782   43.2638 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4384   21.3484   40.9102 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4717   20.1927   44.1378 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4241   16.7689   45.0075 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2560   18.1814   40.7671 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  1  0
   3  4  2  0
-  3  9  1  0
+  3 11  1  0
   4  5  1  0
   4  6  1  0
   6  7  2  0
-  6 12  1  0
   7  8  1  0
-  7 17  1  0
-  9 10  1  0
-  9 11  2  0
- 11 12  1  0
- 12 13  2  0
- 13 14  1  0
- 13 15  1  0
- 15 16  1  0
- 15 17  2  0
- 17 18  1  0
-  1 19  2  0
-V   18 *
-V   19 *
+  7 10  1  0
+  8  9  1  0
+  8 11  2  0
+ 12  1  1  0
+  6 13  1  0
+V   12 *
+V   13 *
 M  END
->  <kinase>  (78) 
-MET
+>  <kinase>  (115) 
+Erk2
 
->  <family>  (78) 
-Met
+>  <family>  (115) 
+MAPK
 
->  <group>  (78) 
-TK
+>  <group>  (115) 
+CMGC
 
->  <complex_pdb>  (78) 
-3a4p
+>  <complex_pdb>  (115) 
+6gdq
 
->  <ligand_pdb>  (78) 
-DFQ
+>  <ligand_pdb>  (115) 
+EVK
 
->  <alt>  (78) 
- 
+>  <alt>  (115) 
+A
 
->  <chain>  (78) 
+>  <chain>  (115) 
 A
 
->  <atom.prop.subpocket>  (78) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA SE
+>  <atom.prop.subpocket>  (115) 
+AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (78) 
-7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 na na
+>  <atom.prop.environment>  (115) 
+5 5 14 14 14 16 14 14 14 14 14 na na
 
 $$$$
-5ya5_altB_chainA
+6hkn_altA_chainA
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    0.2002   18.7263   46.0306 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3518   19.1221   46.8831 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2043   18.4439   46.3473 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3166   17.8507   45.6379 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2825   19.6927   45.0463 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9421   19.3987   43.8780 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0649   20.3780   42.9048 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6450   21.3592   43.0704 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7260   20.0988   41.7201 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8261   20.8648   40.9654 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4751   18.1390   43.6658 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3780   17.3768   44.4247 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1352   17.8548   42.4758 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5509   16.8721   42.3088 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2591   18.8387   41.5012 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9676   18.5659   40.2146 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  4  1  0
-  1  5  1  0
+ 20 21  0  0  0  0  0  0  0  0999 V2000
+    1.4491   19.9248   41.8194 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3484   18.7594   44.8688 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8068   19.1795   45.7519 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3812   21.2276   42.0734 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7959   21.7065   43.1610 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7712   22.7766   43.3051 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2427   20.9356   44.0743 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2415   19.6041   43.9164 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3438   17.3868   44.6779 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9131   16.5676   45.6005 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0255   15.7719   45.1802 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3777   15.1688   46.0171 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7167   15.1173   44.3652 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8297   16.4233   44.8381 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2670   16.8330   43.5437 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2753   15.7610   43.4133 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8488   17.6270   42.6060 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3090   17.1775   41.7385 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8595   19.0347   42.7514 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1047   19.4642   40.5436 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  4  2  0
+  1 19  1  0
+  2  3  1  0
+  2  8  1  0
+  2  9  2  0
+  4  5  1  0
   5  6  1  0
-  6  7  2  0
-  6 11  1  0
+  5  7  2  0
   7  8  1  0
-  7  9  1  0
+  8 19  2  0
   9 10  1  0
-  9 15  2  0
+  9 15  1  0
+ 10 11  1  0
  11 12  1  0
- 11 13  2  0
- 13 14  1  0
- 13 15  1  0
+ 11 13  1  0
+ 11 14  1  0
  15 16  1  0
-V   16 *
+ 15 17  2  0
+ 17 18  1  0
+ 17 19  1  0
+  1 20  1  0
+V   20 *
 M  END
->  <kinase>  (79) 
-MET
+>  <kinase>  (116) 
+Erk5
 
->  <family>  (79) 
-Met
+>  <family>  (116) 
+MAPK
 
->  <group>  (79) 
-TK
+>  <group>  (116) 
+CMGC
 
->  <complex_pdb>  (79) 
-5ya5
+>  <complex_pdb>  (116) 
+6hkn
 
->  <ligand_pdb>  (79) 
-6TD
+>  <ligand_pdb>  (116) 
+G9E
 
->  <alt>  (79) 
-B
+>  <alt>  (116) 
+A
 
->  <chain>  (79) 
+>  <chain>  (116) 
 A
 
->  <atom.prop.subpocket>  (79) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (116) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (79) 
-3 3 3 3 3 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (116) 
+14 16 16 16 16 16 16 16 16 3 3 3 3 3 16 16 16 16 16 na
 
 $$$$
-3sc1_chainA
+4k8a_chainB
      RDKit          3D
 
- 18 19  0  0  0  0  0  0  0  0999 V2000
-    1.0215   16.3316   42.5038 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8770   15.3943   43.0205 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5681   17.5299   43.1031 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0815   17.5063   44.0669 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8531   17.5908   40.5569 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3381   17.6135   39.5922 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6707   16.3357   41.2210 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7583   18.7672   42.4257 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4091   18.8069   41.1414 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6084   20.1016   40.4410 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0928   20.1375   39.4764 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1713   21.2334   41.0357 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3141   22.1794   40.5346 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2944   20.0583   43.0336 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5445   21.2125   42.2713 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2434   22.0970   42.6548 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2635   20.0776   44.1233 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1561   15.0795   40.5738 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
+ 11 11  0  0  0  0  0  0  0  0999 V2000
+    0.0788   18.5572   43.6484 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6000   20.7791   44.1311 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8784   19.0404   42.5959 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4599   18.3617   41.9895 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6600   19.4848   44.4028 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2838   19.1377   45.2133 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9048   20.4124   42.3517 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9518   21.1114   40.9378 Br  0  0  0  0  0  0  0  0  0  0  0  0
+    0.1287   21.2591   43.1355 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1204   22.3194   42.9301 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0151   17.1032   43.9481 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  3  2  0
-  1  7  1  0
+  1  5  1  0
+  2  5  2  0
+  2  9  1  0
   3  4  1  0
-  3  8  1  0
+  3  7  1  0
   5  6  1  0
-  5  7  2  0
-  5  9  1  0
-  8  9  2  0
-  8 14  1  0
+  7  8  1  0
+  7  9  2  0
   9 10  1  0
- 10 11  1  0
- 10 12  2  0
- 12 13  1  0
- 12 15  1  0
- 14 15  1  0
- 14 17  2  0
- 15 16  1  0
-  7 18  1  0
-V   18 *
+ 11  1  1  0
+V   11 *
 M  END
->  <kinase>  (80) 
-PDK1
+>  <kinase>  (117) 
+FAK
 
->  <family>  (80) 
-PDK1
+>  <family>  (117) 
+FAK
 
->  <group>  (80) 
-AGC
+>  <group>  (117) 
+TK
 
->  <complex_pdb>  (80) 
-3sc1
+>  <complex_pdb>  (117) 
+4k8a
 
->  <ligand_pdb>  (80) 
-3S1
+>  <ligand_pdb>  (117) 
+K8A
 
->  <alt>  (80) 
+>  <alt>  (117) 
  
 
->  <chain>  (80) 
-A
+>  <chain>  (117) 
+B
 
->  <atom.prop.subpocket>  (80) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (117) 
+AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (80) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (117) 
+16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-2c3i_altA_chainB
+3c4f_altA_chainA
      RDKit          3D
 
- 17 17  0  0  0  0  0  0  0  0999 V2000
-    1.6363   19.4086   40.7503 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1526   18.4847   41.6626 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2645   17.4229   41.5002 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4476   20.7709   40.9480 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8203   21.4690   40.2131 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7893   21.2529   42.0720 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6410   22.3122   42.2212 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3310   20.3311   42.9920 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1816   20.6682   43.8808 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5258   18.9737   42.7803 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0228   18.0615   43.8361 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2048   16.5553   43.6130 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1354   16.2926   42.6114 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2585   16.2971   43.7182 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3794   16.0055   44.3510 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3371   18.5898   44.8932 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2637   19.0442   39.5851 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    2.4927   18.2776   40.8087 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2674   17.7032   41.3166 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8356   17.5994   40.2643 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6843   19.0809   41.8294 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8613   18.5606   42.9427 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5570   20.4053   41.9490 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0420   21.1130   41.2930 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7939   20.7502   42.9305 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5548   21.7000   43.1770 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3676   19.6545   43.5721 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4182   19.5646   44.6446 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7408   18.3434   45.0881 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3986   18.2468   45.9391 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2434   17.1888   44.4720 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5215   16.2167   44.8516 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6044   17.2838   43.3768 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0318   16.4143   42.8997 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1245   19.2630   39.8520 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
   1  4  1  0
-  2  3  1  0
-  2 10  1  0
   4  5  1  0
   4  6  2  0
+  5 10  2  0
+  5 16  1  0
   6  7  1  0
   6  8  1  0
   8  9  1  0
-  8 10  2  0
+  8 10  1  0
  10 11  1  0
- 11 12  1  0
- 11 16  2  0
+ 11 12  2  0
  12 13  1  0
  12 14  1  0
- 12 15  1  0
-  1 17  1  0
-V   17 *
+ 14 15  1  0
+ 14 16  2  0
+ 16 17  1  0
+ 18  1  1  0
+V   18 *
 M  END
->  <kinase>  (81) 
-PIM1
+>  <kinase>  (118) 
+FGFR1
 
->  <family>  (81) 
-PIM
+>  <family>  (118) 
+FGFR
 
->  <group>  (81) 
-CAMK
+>  <group>  (118) 
+TK
 
->  <complex_pdb>  (81) 
-2c3i
+>  <complex_pdb>  (118) 
+3c4f
 
->  <ligand_pdb>  (81) 
-IYZ
+>  <ligand_pdb>  (118) 
+C4F
 
->  <alt>  (81) 
+>  <alt>  (118) 
 A
 
->  <chain>  (81) 
-B
+>  <chain>  (118) 
+A
 
->  <atom.prop.subpocket>  (81) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (118) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (81) 
-16 16 16 16 16 16 16 16 16 16 6 6 6 6 6 6 na
+>  <atom.prop.environment>  (118) 
+8 8 8 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-2obj_chainA
+3js2_chainB
      RDKit          3D
 
  13 13  0  0  0  0  0  0  0  0999 V2000
-    0.4834   20.7630   42.4601 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0439   21.4009   43.2126 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0389   21.3261   41.2972 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0277   22.3970   41.1574 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6132   20.4892   40.3092 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6522   19.0357   40.4663 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0690   18.5279   41.6750 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0686   17.4612   41.8445 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5006   19.3650   42.6427 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1184   21.1485   39.2163 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5081   20.5829   38.5456 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2615   18.5724   44.2060 Br  0  0  0  0  0  0  0  0  0  0  0  0
-    2.2178   18.1534   39.5002 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1769   15.1782   44.5785 O   0  0  0  0  0  1  0  0  0  0  0  0
+   -0.4466   16.2005   44.9392 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3447   16.2083   45.8091 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0828   17.5267   44.2669 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8649   17.5500   43.2514 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3580   16.6437   42.9323 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1618   18.7723   42.6563 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6969   18.7126   44.6544 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4338   18.7001   45.4438 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3874   19.8552   44.0659 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5072   19.9184   43.0951 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7324   20.8704   42.6375 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0800   18.8343   41.6162 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  2  0
-  1  9  1  0
-  3  4  1  0
-  3  5  1  0
-  5  6  2  0
-  5 10  1  0
-  6  7  1  0
-  7  8  1  0
-  7  9  2  0
-  9 12  1  0
+  2  3  2  0
+  2  4  1  0
+  4  5  2  0
+  4  8  1  0
+  5  6  1  0
+  5  7  1  0
+  7 11  2  0
+  8  9  1  0
+  8 10  2  0
  10 11  1  0
-  6 13  1  0
+ 11 12  1  0
+  7 13  1  0
+M  CHG  1   1  -1
 V   13 *
 M  END
->  <kinase>  (82) 
-PIM1
+>  <kinase>  (119) 
+FGFR1
 
->  <family>  (82) 
-PIM
+>  <family>  (119) 
+FGFR
 
->  <group>  (82) 
-CAMK
+>  <group>  (119) 
+TK
 
->  <complex_pdb>  (82) 
-2obj
+>  <complex_pdb>  (119) 
+3js2
 
->  <ligand_pdb>  (82) 
-VRV
+>  <ligand_pdb>  (119) 
+VM1
 
->  <alt>  (82) 
+>  <alt>  (119) 
  
 
->  <chain>  (82) 
-A
+>  <chain>  (119) 
+B
 
->  <atom.prop.subpocket>  (82) 
-AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (119) 
+AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (82) 
-16 16 16 16 16 16 16 16 16 3 3 16 na
+>  <atom.prop.environment>  (119) 
+6 6 6 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-3bgq_chainA
+7dhl_chainA
      RDKit          3D
 
- 15 15  0  0  0  0  0  0  0  0999 V2000
-    0.4393   18.5870   43.8686 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5820   20.8442   42.4743 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1079   21.3769   43.2854 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9680   21.5671   41.2690 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7829   22.6285   41.1945 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6040   20.8595   40.1629 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8859   21.4036   39.2736 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8316   19.3833   42.6035 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4742   18.7193   41.4662 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6680   17.6592   41.5370 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0651   19.1592   44.9291 F   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8614   17.2949   43.8287 F   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9177   18.5943   43.9655 F   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8665   19.4117   40.2437 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4569   18.6364   39.1060 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  8  1  0
-  1 11  1  0
-  1 12  1  0
-  1 13  1  0
-  2  3  1  0
-  2  4  2  0
-  2  8  1  0
+ 18 18  0  0  0  0  0  0  0  0999 V2000
+    1.9846   19.9456   40.0180 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6306   19.0865   40.1993 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0134   19.6012   39.6628 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2285   18.1731   45.3453 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8353   18.8182   45.8308 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1605   20.5808   43.1380 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0527   21.6424   42.9709 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4086   17.9275   43.5601 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4291   18.6929   44.3096 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5786   20.0232   44.1184 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0440   19.8929   42.3337 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1372   18.5352   42.5802 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8069   17.9384   41.9788 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7898   20.6744   41.3047 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2350   21.5901   41.1001 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7703   20.9263   41.7086 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2513   16.8339   45.7579 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6059   20.7936   38.9587 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1 14  1  0
   4  5  1  0
-  4  6  1  0
+  4  9  1  0
   6  7  1  0
-  6 14  2  0
+  6 10  2  0
+  6 11  1  0
   8  9  2  0
+  8 12  1  0
   9 10  1  0
-  9 14  1  0
+ 11 12  2  0
+ 11 14  1  0
+ 12 13  1  0
  14 15  1  0
-V   15 *
+ 14 16  1  0
+  4 17  1  0
+  1 18  1  0
+V   17 *
+V   18 *
 M  END
->  <kinase>  (83) 
-PIM1
+>  <kinase>  (120) 
+FGFR3
 
->  <family>  (83) 
-PIM
+>  <family>  (120) 
+FGFR
 
->  <group>  (83) 
-CAMK
+>  <group>  (120) 
+TK
 
->  <complex_pdb>  (83) 
-3bgq
+>  <complex_pdb>  (120) 
+7dhl
 
->  <ligand_pdb>  (83) 
-VX2
+>  <ligand_pdb>  (120) 
+H6X
 
->  <alt>  (83) 
+>  <alt>  (120) 
  
 
->  <chain>  (83) 
+>  <chain>  (120) 
 A
 
->  <atom.prop.subpocket>  (83) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (120) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
 
->  <atom.prop.environment>  (83) 
-8 16 16 16 16 16 16 16 16 16 8 8 8 16 na
+>  <atom.prop.environment>  (120) 
+8 8 8 5 5 14 14 14 14 14 16 14 14 8 8 8 na na
 
 $$$$
-3vbt_chainA
+2o5k_chainA
      RDKit          3D
 
- 13 13  0  0  0  0  0  0  0  0999 V2000
-    1.4753   18.5333   41.0712 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9117   18.3860   42.3319 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8377   17.3971   42.7597 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4415   19.4685   43.0577 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3158   19.1593   44.6103 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    0.5028   20.7500   42.5590 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1268   21.5984   43.1115 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0807   20.8863   41.2951 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1785   21.8782   40.8793 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5338   19.8134   40.5502 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1361   19.9624   39.2909 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2114   20.8681   38.9818 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9212   17.4417   40.3841 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 10  1  0
-  2  3  1  0
-  2  4  1  0
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    1.7183   20.3510   40.2505 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1648   20.7923   39.3716 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6788   20.7052   42.5152 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9667   18.3739   41.5191 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5814   18.9089   40.3047 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2870   21.2243   41.3131 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4219   22.2907   41.2076 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5055   19.2684   42.6524 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7275   17.1032   41.8232 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1323   17.0494   43.0818 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0103   18.3625   43.6000 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4122   18.6058   44.4941 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3603   21.7312   43.3609 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0475   21.4637   44.1877 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0657   18.1131   39.1356 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2749   15.8819   43.7569 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  5  2  0
+  1  6  1  0
+  3  6  2  0
+  3  8  1  0
+  3 13  1  0
   4  5  1  0
-  4  6  2  0
+  4  8  2  0
+  4  9  1  0
   6  7  1  0
-  6  8  1  0
-  8  9  1  0
-  8 10  2  0
+  8 11  1  0
+  9 10  2  0
  10 11  1  0
  11 12  1  0
-  1 13  1  0
-V   13 *
-M  END
->  <kinase>  (84) 
-PIM1
-
->  <family>  (84) 
-PIM
-
->  <group>  (84) 
-CAMK
-
->  <complex_pdb>  (84) 
-3vbt
-
->  <ligand_pdb>  (84) 
-0F9
-
->  <alt>  (84) 
- 
-
->  <chain>  (84) 
-A
-
->  <atom.prop.subpocket>  (84) 
-AP AP AP AP AP AP AP AP AP AP AP AP FP
-
->  <atom.prop.environment>  (84) 
-16 16 16 16 16 16 16 16 16 16 3 3 na
-
-$$$$
-3vbv_chainA
-     RDKit          3D
-
- 18 19  0  0  0  0  0  0  0  0999 V2000
-    1.7289   21.1321   39.6221 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7660   22.0864   39.1177 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1854   21.0622   40.9403 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8568   21.9546   41.4524 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0895   19.8082   41.5512 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4846   19.7616   42.8236 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1198   20.6611   43.2972 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3693   18.5180   43.4573 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0462   18.4755   44.4533 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7840   17.3020   42.8280 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6529   16.3432   43.3074 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3655   17.4144   41.5658 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7921   16.2444   40.9559 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1749   16.3582   40.0829 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5188   18.6612   40.8797 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0916   18.7716   39.6006 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2240   19.9735   38.9551 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7293   20.0304   37.6319 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  2  0
-  1 17  1  0
-  3  4  1  0
-  3  5  1  0
-  5  6  2  0
-  5 15  1  0
-  6  7  1  0
-  6  8  1  0
-  8  9  1  0
-  8 10  2  0
- 10 11  1  0
- 10 12  1  0
- 12 13  1  0
- 12 15  2  0
  13 14  1  0
- 15 16  1  0
- 16 17  2  0
- 17 18  1  0
-V   18 *
+  5 15  1  0
+ 16 10  1  0
+V   15 *
+V   16 *
 M  END
->  <kinase>  (85) 
-PIM1
+>  <kinase>  (121) 
+GSK3B
 
->  <family>  (85) 
-PIM
+>  <family>  (121) 
+GSK
 
->  <group>  (85) 
-CAMK
+>  <group>  (121) 
+CMGC
 
->  <complex_pdb>  (85) 
-3vbv
+>  <complex_pdb>  (121) 
+2o5k
 
->  <ligand_pdb>  (85) 
-0FK
+>  <ligand_pdb>  (121) 
+HBM
 
->  <alt>  (85) 
+>  <alt>  (121) 
  
 
->  <chain>  (85) 
+>  <chain>  (121) 
 A
 
->  <atom.prop.subpocket>  (85) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <atom.prop.subpocket>  (121) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP SE
 
->  <atom.prop.environment>  (85) 
-14 14 14 14 14 14 14 14 14 14 14 14 3 3 14 14 14 na
+>  <atom.prop.environment>  (121) 
+16 16 16 16 16 16 16 16 16 14 16 16 3 3 na na
 
 $$$$
-4a7c_chainA
+3q3b_chainA
      RDKit          3D
 
  16 16  0  0  0  0  0  0  0  0999 V2000
-   -0.9275   17.0251   44.0963 F   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3285   18.1324   44.5027 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0066   18.0054   45.7764 F   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0594   19.2217   44.3495 F   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8429   18.2392   43.7290 O   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0213   19.1625   42.7399 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5582   18.7213   41.5485 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7904   17.6713   41.4484 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7232   20.4993   42.9198 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3131   20.8565   43.8528 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9654   21.3677   41.8697 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7348   22.4174   41.9770 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5040   20.8969   40.6773 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6883   21.5989   39.8776 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8144   19.5558   40.4751 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3339   19.1116   39.3340 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
+    1.5601   18.9510   40.5505 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0567   18.3468   41.7220 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1403   17.2776   41.8495 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4497   19.1178   42.7214 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0772   18.4143   43.9638 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1093   17.3436   43.8816 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1491   18.5905   44.0540 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4307   18.8050   44.8455 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3450   20.5328   42.5471 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2379   21.3374   43.4942 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2553   22.2723   43.2771 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8510   21.1432   41.3722 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7712   22.2122   41.2408 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4563   20.3562   40.3794 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8433   20.8206   39.4844 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2396   18.1175   39.4860 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 14  1  0
   2  3  1  0
   2  4  1  0
-  2  5  1  0
+  4  5  1  0
+  4  9  2  0
   5  6  1  0
-  6  7  2  0
-  6  9  1  0
-  7  8  1  0
-  7 15  1  0
+  5  7  1  0
+  5  8  1  0
   9 10  1  0
-  9 11  2  0
- 11 12  1  0
- 11 13  1  0
- 13 14  1  0
- 13 15  2  0
- 15 16  1  0
+  9 12  1  0
+ 10 11  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 16  1  1  0
 V   16 *
 M  END
->  <kinase>  (86) 
-PIM1
+>  <kinase>  (122) 
+GSK3B
 
->  <family>  (86) 
-PIM
+>  <family>  (122) 
+GSK
 
->  <group>  (86) 
-CAMK
+>  <group>  (122) 
+CMGC
 
->  <complex_pdb>  (86) 
-4a7c
+>  <complex_pdb>  (122) 
+3q3b
 
->  <ligand_pdb>  (86) 
-E46
+>  <ligand_pdb>  (122) 
+55E
 
->  <alt>  (86) 
+>  <alt>  (122) 
  
 
->  <chain>  (86) 
+>  <chain>  (122) 
 A
 
->  <atom.prop.subpocket>  (86) 
+>  <atom.prop.subpocket>  (122) 
 AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (86) 
-3 3 3 3 3 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (122) 
+16 16 16 16 8 8 8 8 16 3 3 16 16 16 16 na
 
 $$$$
-4mbl_chainA
+4rvt_altA_chainA
      RDKit          3D
 
- 18 19  0  0  0  0  0  0  0  0999 V2000
-    1.8551   18.8546   40.1982 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6870   20.2215   40.4404 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0428   20.9372   39.7140 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0799   20.6671   41.5811 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9857   21.7291   41.7534 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5713   19.7550   42.5426 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7263   18.3641   42.3028 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3713   17.9419   41.1117 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4855   16.8858   40.9168 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1576   20.1685   43.6921 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3381   21.2199   43.8605 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6327   19.2477   44.5871 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1477   19.5822   45.4756 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4599   17.8938   44.3650 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8668   17.1805   45.0664 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2234   17.4483   43.2625 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3803   16.3888   43.1234 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5564   18.3859   38.9661 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 13 13  0  0  0  0  0  0  0  0999 V2000
+    1.3853   19.0447   41.0213 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0739   20.3659   41.3435 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4894   21.1711   40.7558 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2791   20.6417   42.3563 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0738   21.6067   42.5725 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2904   19.6279   43.1433 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0292   18.2699   42.8787 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8224   18.0141   41.7980 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0994   16.7136   41.5015 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6766   16.0683   42.0728 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0128   19.9937   44.0618 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5604   17.1829   43.6119 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2418   18.8561   39.9289 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
   1  8  1  0
   2  3  1  0
   2  4  1  0
   4  5  1  0
-  4  6  2  0
+  4  6  1  0
   6  7  1  0
-  6 10  1  0
+  6 11  2  0
   7  8  2  0
-  7 16  1  0
   8  9  1  0
- 10 11  1  0
- 10 12  2  0
- 12 13  1  0
- 12 14  1  0
- 14 15  1  0
- 14 16  2  0
- 16 17  1  0
-  1 18  1  0
-V   18 *
+  9 10  1  0
+  7 12  1  0
+ 13  1  1  0
+V   12 *
+V   13 *
 M  END
->  <kinase>  (87) 
-PIM1
+>  <kinase>  (123) 
+HGK
 
->  <family>  (87) 
-PIM
+>  <family>  (123) 
+STE20
 
->  <group>  (87) 
-CAMK
+>  <group>  (123) 
+STE
 
->  <complex_pdb>  (87) 
-4mbl
+>  <complex_pdb>  (123) 
+4rvt
 
->  <ligand_pdb>  (87) 
-26L
+>  <ligand_pdb>  (123) 
+3XM
 
->  <alt>  (87) 
- 
+>  <alt>  (123) 
+A
 
->  <chain>  (87) 
+>  <chain>  (123) 
 A
 
->  <atom.prop.subpocket>  (87) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (123) 
+AP AP AP AP AP AP AP AP AP AP AP SE GA
 
->  <atom.prop.environment>  (87) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (123) 
+16 16 16 16 16 16 16 16 3 3 16 na na
 
 $$$$
-5kge_chainA
+6nfy_altA_chainB
      RDKit          3D
 
- 12 12  0  0  0  0  0  0  0  0999 V2000
-    1.2484   17.3997   41.6925 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2761   16.3375   41.8858 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7563   18.2688   42.6560 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7358   19.6397   42.4073 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1829   17.6222   44.1589 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    0.1278   20.7588   43.5827 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    1.1944   20.1340   41.2051 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1706   21.1972   41.0168 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6884   19.2684   40.2319 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7037   17.8961   40.4834 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0733   17.2167   39.7297 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1674   19.8244   38.9595 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    2.4602   19.8564   40.1242 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0258   20.3316   39.3364 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8273   20.6447   41.1257 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9591   21.7166   41.1350 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5128   17.8191   41.1304 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3669   16.7492   41.1088 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3440   18.4387   40.1661 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8654   18.6084   42.1340 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0048   18.2292   43.2932 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3637   19.4872   43.9644 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0180   20.0144   42.1177 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2520   20.5763   43.2672 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1800   21.5537   43.5113 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0284   19.6382   44.9784 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8616   17.6891   39.1904 F   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3738   16.9453   43.5363 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  2  0
-  1 10  1  0
+  1  7  1  0
   3  4  1  0
-  3  5  1  0
-  4  6  1  0
-  4  7  2  0
-  7  8  1  0
-  7  9  1  0
-  9 10  2  0
- 10 11  1  0
-  9 12  1  0
-V   12 *
+  3 11  1  0
+  5  6  1  0
+  5  7  2  0
+  5  8  1  0
+  7 15  1  0
+  8  9  1  0
+  8 11  2  0
+  9 10  1  0
+ 10 12  1  0
+ 10 14  2  0
+ 11 12  1  0
+ 12 13  1  0
+  9 16  2  0
+V   16 *
 M  END
->  <kinase>  (88) 
-PIM1
-
->  <family>  (88) 
-PIM
+>  <kinase>  (124) 
+HPK1
 
->  <group>  (88) 
-CAMK
+>  <family>  (124) 
+STE20
 
->  <complex_pdb>  (88) 
-5kge
+>  <group>  (124) 
+STE
 
->  <ligand_pdb>  (88) 
-6SN
+>  <complex_pdb>  (124) 
+6nfy
 
->  <alt>  (88) 
- 
+>  <ligand_pdb>  (124) 
+B49
 
->  <chain>  (88) 
+>  <alt>  (124) 
 A
 
->  <atom.prop.subpocket>  (88) 
-AP AP AP AP AP AP AP AP AP AP AP GA
+>  <chain>  (124) 
+B
 
->  <atom.prop.environment>  (88) 
-16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.subpocket>  (124) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+
+>  <atom.prop.environment>  (124) 
+7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 na
 
 $$$$
-5kgg_chainA
+3e7v_altB_chainA
      RDKit          3D
 
  16 17  0  0  0  0  0  0  0  0999 V2000
-    0.8840   20.3529   41.9133 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6557   21.3750   42.1769 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5000   20.0637   40.7051 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7818   20.8582   40.0300 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7496   18.7369   40.3752 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7228   16.4548   40.5644 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2863   16.8125   39.3727 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6524   16.1205   38.6287 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2108   19.6958   44.2978 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    0.5623   19.3153   42.7836 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7996   17.9900   42.4668 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5362   17.2052   43.1604 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3858   17.6808   41.2349 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3193   18.1788   39.2588 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7019   18.6923   38.4778 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4442   15.0623   41.0644 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6331   21.3979   41.8214 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9264   22.4079   41.5760 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3535   17.0479   42.3874 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0430   20.2962   41.1898 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4192   19.2183   41.8302 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3971   15.7037   42.2173 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8653   15.1839   42.9458 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1073   17.5818   43.4322 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7019   16.9299   44.0550 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0957   18.9584   43.6757 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6707   19.3709   44.4916 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3735   17.8742   41.6090 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3324   19.8005   42.8534 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1995   21.0486   42.8071 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1066   14.9645   41.1947 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8389   20.1617   40.0443 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  2  0
-  1 10  1  0
+  1  4  1  0
+  1 14  2  0
+  3  6  1  0
+  3  8  1  0
+  3 12  2  0
+  4  5  2  0
+  5 12  1  0
+  5 13  1  0
+  6  7  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 10 13  1  0
+ 13 14  1  0
+ 15  6  1  0
+  4 16  1  0
+V   15 *
+V   16 *
+M  END
+>  <kinase>  (125) 
+Haspin
+
+>  <family>  (125) 
+Haspin
+
+>  <group>  (125) 
+Other
+
+>  <complex_pdb>  (125) 
+3e7v
+
+>  <ligand_pdb>  (125) 
+DZO
+
+>  <alt>  (125) 
+B
+
+>  <chain>  (125) 
+A
+
+>  <atom.prop.subpocket>  (125) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP GA
+
+>  <atom.prop.environment>  (125) 
+14 14 14 16 14 5 5 14 14 14 14 14 14 14 na na
+
+$$$$
+3lvp_chainC
+     RDKit          3D
+
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    3.0678   18.5772   42.0690 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    0.9669   18.7239   43.8780 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0152   19.4888   44.5193 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7313   18.7235   45.3871 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4964   18.9922   45.9893 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1389   17.4791   45.2309 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9412   17.3885   44.3098 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5559   16.5465   44.0279 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6070   20.8415   42.6577 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2194   21.3749   41.9457 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5644   21.5015   43.3774 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3936   22.5533   43.2017 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2246   20.8459   44.2814 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8123   19.4388   42.9154 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6614   16.2981   46.0221 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1 14  1  0
+  2  3  2  0
+  2  7  1  0
+  2 14  1  0
   3  4  1  0
-  3  5  1  0
-  5 13  2  0
-  5 14  1  0
+  3 13  1  0
+  4  5  1  0
+  4  6  1  0
   6  7  2  0
-  6 13  1  0
   7  8  1  0
-  7 14  1  0
   9 10  1  0
- 10 11  2  0
+  9 11  1  0
+  9 14  2  0
  11 12  1  0
- 11 13  1  0
- 14 15  1  0
-  6 16  1  0
-V   16 *
+ 11 13  2  0
+ 15  6  1  0
+V   15 *
 M  END
->  <kinase>  (89) 
-PIM1
+>  <kinase>  (126) 
+IGF1R
 
->  <family>  (89) 
-PIM
+>  <family>  (126) 
+InsR
 
->  <group>  (89) 
-CAMK
+>  <group>  (126) 
+TK
 
->  <complex_pdb>  (89) 
-5kgg
+>  <complex_pdb>  (126) 
+3lvp
 
->  <ligand_pdb>  (89) 
-6SO
+>  <ligand_pdb>  (126) 
+PDR
 
->  <alt>  (89) 
+>  <alt>  (126) 
  
 
->  <chain>  (89) 
-A
+>  <chain>  (126) 
+C
 
->  <atom.prop.subpocket>  (89) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (126) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (89) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (126) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
-5n52_altA_chainA
+5k75_altB_chainC
      RDKit          3D
 
- 22 22  0  0  0  0  0  0  0  0999 V2000
-    1.3018   20.3683   41.4538 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6437   21.2109   40.8710 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5436   19.0702   40.9949 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1027   18.0000   41.7772 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2250   15.9030   42.0347 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2831   14.9168   41.5742 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8965   15.8024   43.0691 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2077   16.3741   42.0097 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1776   18.8887   39.6797 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6813   17.9592   39.4591 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6329   20.5892   42.6405 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4491   21.6004   42.9722 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1959   19.5241   43.4084 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3266   19.7048   44.3361 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2923   16.7097   41.3156 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4293   18.2263   42.9859 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0215   17.1274   43.6845 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7275   17.3515   44.8751 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9854   16.3941   45.3277 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6399   17.8966   44.6331 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1304   17.9355   45.5755 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1430   19.8510   38.7521 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  2  0
-  1 11  1  0
-  3  4  1  0
-  3  9  1  0
-  4 15  1  0
-  4 16  2  0
+ 22 24  0  0  0  0  0  0  0  0999 V2000
+    0.2035   17.6093   43.0464 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5190   18.7945   42.3540 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1452   19.0539   41.0600 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2115   20.3793   40.8216 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6922   18.8685   44.7422 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1485   18.8735   45.7210 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7639   20.7392   39.4519 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4850   21.5539   39.5165 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9659   21.0141   38.7621 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7472   18.3103   39.8573 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9646   17.8260   39.2733 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4685   17.5632   40.1885 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4678   20.0452   44.2034 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1299   19.9656   43.0082 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4442   16.3719   42.5003 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9861   16.3238   41.6494 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5046   21.3786   42.0520 S   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4463   19.4145   39.0256 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5125   19.4446   39.2501 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3043   19.2374   37.9595 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4261   17.6759   44.2293 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0371   15.1275   43.0783 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 15  1  0
+  1 21  1  0
+  2  3  1  0
+  2 14  1  0
+  3  4  2  0
+  3 10  1  0
+  4  7  1  0
+  4 17  1  0
   5  6  1  0
-  5  7  1  0
-  5  8  1  0
-  5 15  1  0
-  9 10  1  0
- 11 12  1  0
- 11 13  2  0
- 13 14  1  0
- 13 16  1  0
- 16 17  1  0
- 17 18  1  0
+  5 13  1  0
+  5 21  2  0
+  7  8  1  0
+  7  9  1  0
+  7 18  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 18  1  0
+ 13 14  2  0
+ 14 17  1  0
+ 15 16  1  0
  18 19  1  0
  18 20  1  0
- 18 21  1  0
-  9 22  2  0
+ 22 15  1  0
 V   22 *
 M  END
->  <kinase>  (90) 
-PIM1
+>  <kinase>  (127) 
+IRAK4
 
->  <family>  (90) 
-PIM
+>  <family>  (127) 
+IRAK
 
->  <group>  (90) 
-CAMK
+>  <group>  (127) 
+TKL
 
->  <complex_pdb>  (90) 
-5n52
+>  <complex_pdb>  (127) 
+5k75
 
->  <ligand_pdb>  (90) 
-8N2
+>  <ligand_pdb>  (127) 
+6QX
 
->  <alt>  (90) 
-A
+>  <alt>  (127) 
+B
 
->  <chain>  (90) 
-A
+>  <chain>  (127) 
+C
 
->  <atom.prop.subpocket>  (90) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <atom.prop.subpocket>  (127) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (90) 
-7 7 7 7 3 3 3 3 7 7 7 7 7 7 3 7 3 3 3 3 3 na
+>  <atom.prop.environment>  (127) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 5 5 14 14 14 14 14 na
 
 $$$$
-5n5l_altA_chainA
+6egd_altB_chainD
      RDKit          3D
 
- 16 17  0  0  0  0  0  0  0  0999 V2000
-    2.2616   16.1105   40.7510 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7483   16.2266   39.4690 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1420   15.4116   38.8799 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1046   18.2882   40.0516 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8280   19.6492   40.1043 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0521   20.2904   39.2646 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2580   20.1667   41.2585 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0359   21.2213   41.3288 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9746   19.3206   42.3237 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1315   20.0254   43.8754 Br  0  0  0  0  0  0  0  0  0  0  0  0
-    1.2543   17.9697   42.2851 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0290   17.3383   43.1318 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8304   17.4353   41.1394 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6603   17.5250   39.0507 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9566   17.8698   38.1488 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2305   14.8710   41.5917 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 13  1  0
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    0.6431   19.6263   40.3287 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9227   17.9781   43.9372 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6874   17.4851   43.0877 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7314   19.3892   43.9240 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2133   19.8864   42.5894 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0975   21.1883   42.0387 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0714   22.1355   42.5292 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7016   21.0023   40.6550 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3895   18.8127   41.6336 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9538   20.0964   44.8751 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4064   17.1897   45.0094 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1757   18.8358   39.1483 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  8  2  0
+  1  9  1  0
   2  3  1  0
-  2 14  1  0
+  2  4  1  0
   4  5  1  0
-  4 13  2  0
-  4 14  1  0
-  5  6  1  0
-  5  7  2  0
-  7  8  1  0
-  7  9  1  0
+  4 10  2  0
+  5  6  2  0
+  5  9  1  0
+  6  7  1  0
+  6  8  1  0
+ 11  2  1  0
+  1 12  1  0
+V   11 *
+V   12 *
+M  END
+>  <kinase>  (128) 
+IRAK4
+
+>  <family>  (128) 
+IRAK
+
+>  <group>  (128) 
+TKL
+
+>  <complex_pdb>  (128) 
+6egd
+
+>  <ligand_pdb>  (128) 
+J87
+
+>  <alt>  (128) 
+B
+
+>  <chain>  (128) 
+D
+
+>  <atom.prop.subpocket>  (128) 
+AP AP AP AP AP AP AP AP AP AP SE FP
+
+>  <atom.prop.environment>  (128) 
+14 5 5 1 14 14 14 14 14 1 na na
+
+$$$$
+6w3k_chainA
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+   -0.7944   17.1591   43.8723 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2215   18.6690   42.3109 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9757   20.5673   41.3913 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4124   21.2381   40.7754 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0964   19.7292   43.1829 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0669   18.2714   44.6848 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5671   18.1222   45.6304 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9069   19.2770   41.1628 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1415   17.3647   42.6554 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0772   16.5367   41.9973 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3623   20.8833   42.6021 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7302   19.4850   44.3257 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4703   18.5814   39.9842 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2288   15.7864   44.2664 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  6  1  0
+  1  9  2  0
+  2  5  1  0
+  2  8  2  0
+  2  9  1  0
+  3  4  1  0
+  3  8  1  0
+  3 11  1  0
+  5 11  2  0
+  5 12  1  0
+  6  7  1  0
+  6 12  2  0
   9 10  1  0
-  9 11  2  0
- 11 12  1  0
- 11 13  1  0
- 14 15  1  0
-  1 16  1  0
-V   16 *
+  8 13  1  0
+ 14  1  1  0
+V   13 *
+V   14 *
 M  END
->  <kinase>  (91) 
-PIM1
+>  <kinase>  (129) 
+IRE1
 
->  <family>  (91) 
-PIM
+>  <family>  (129) 
+IRE
 
->  <group>  (91) 
-CAMK
+>  <group>  (129) 
+Other
 
->  <complex_pdb>  (91) 
-5n5l
+>  <complex_pdb>  (129) 
+6w3k
 
->  <ligand_pdb>  (91) 
-8NZ
+>  <ligand_pdb>  (129) 
+SJS
 
->  <alt>  (91) 
-A
+>  <alt>  (129) 
+ 
 
->  <chain>  (91) 
+>  <chain>  (129) 
 A
 
->  <atom.prop.subpocket>  (91) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (129) 
+AP AP AP AP AP AP AP AP AP AP AP AP GA SE
 
->  <atom.prop.environment>  (91) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (129) 
+16 14 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
-5n5m_altA_chainA
+6aah_altA_chainA
      RDKit          3D
 
- 20 21  0  0  0  0  0  0  0  0999 V2000
-    1.2604   15.7456   42.3473 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1925   15.5845   42.4944 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7639   15.7486   43.3140 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4386   17.1161   41.7313 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2926   18.5630   40.0000 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8106   18.6685   39.0582 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8503   19.6743   40.6573 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0218   20.6530   40.2341 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1675   19.5498   41.8917 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6540   20.6532   42.6149 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8044   21.6411   42.2051 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1778   19.3174   44.2670 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7028   19.2261   45.2064 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2617   18.1732   43.6681 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0802   17.2127   44.1274 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9586   18.2574   42.4379 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0002   20.5501   43.7642 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0824   17.2995   40.5314 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4344   16.4357   39.9870 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7821   14.6083   41.5748 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+    1.2776   19.7379   40.5503 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7646   19.1468   39.7889 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7505   19.1349   44.0698 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3121   19.1295   44.9923 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1768   21.0662   40.5645 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5752   21.7296   39.8112 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6357   19.2372   41.7061 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3415   17.9347   43.5374 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3749   17.9710   42.2969 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1809   20.3962   42.3268 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4820   20.2956   43.4951 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5179   21.4445   41.6365 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3065   22.4003   41.8852 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8183   16.7999   41.7505 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7983   15.9822   42.3429 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3194   16.6191   40.3881 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6571   16.6870   44.2676 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  1  0
-  1  4  1  0
-  4 16  2  0
-  4 18  1  0
+  1  5  2  0
+  1  7  1  0
+  3  4  1  0
+  3  8  2  0
+  3 11  1  0
   5  6  1  0
-  5  7  1  0
-  5 18  2  0
-  7  8  1  0
+  5 12  1  0
   7  9  2  0
-  9 10  1  0
-  9 16  1  0
- 10 11  1  0
- 10 17  2  0
+  7 10  1  0
+  8  9  1  0
+  9 14  1  0
+ 10 11  2  0
+ 10 12  1  0
  12 13  1  0
- 12 14  2  0
- 12 17  1  0
  14 15  1  0
- 14 16  1  0
- 18 19  1  0
-  1 20  1  0
-V   20 *
+ 16 14  1  0
+  8 17  1  0
+V   16 *
+V   17 *
 M  END
->  <kinase>  (92) 
-PIM1
+>  <kinase>  (130) 
+JAK1
 
->  <family>  (92) 
-PIM
+>  <family>  (130) 
+JakA
 
->  <group>  (92) 
-CAMK
+>  <group>  (130) 
+TK
 
->  <complex_pdb>  (92) 
-5n5m
+>  <complex_pdb>  (130) 
+6aah
 
->  <ligand_pdb>  (92) 
-8O8
+>  <ligand_pdb>  (130) 
+9T6
 
->  <alt>  (92) 
+>  <alt>  (130) 
 A
 
->  <chain>  (92) 
+>  <chain>  (130) 
 A
 
->  <atom.prop.subpocket>  (92) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (130) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP SE
 
->  <atom.prop.environment>  (92) 
-8 8 8 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (130) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na
 
 $$$$
-6pjj_altA_chainC
+3io7_chainA
      RDKit          3D
 
- 15 16  0  0  0  0  0  0  0  0999 V2000
-    0.2882   17.9150   42.1176 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0871   18.8837   43.0795 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4814   18.6281   43.9615 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5849   20.1706   42.9592 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3994   20.8904   43.7426 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3125   20.5415   41.8537 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6959   21.5461   41.7536 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5426   19.5842   40.8636 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0480   18.2664   40.9795 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4367   19.8124   39.4036 S   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1222   18.1769   38.8984 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4093   17.4700   39.8197 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1418   16.4304   39.7005 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6274   17.7124   37.5844 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2550   16.5437   42.3229 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+   -0.2710   18.0726   43.3003 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3296   18.9311   42.3565 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5085   19.7355   40.5286 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0958   19.5384   39.6440 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4968   21.2941   42.0122 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2791   22.3035   42.3285 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0661   18.7187   41.2560 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2272   21.0653   40.8878 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5831   21.8871   40.2842 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0415   20.2245   42.7378 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7353   20.1599   43.8907 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9189   18.9003   44.2286 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6517   18.4502   45.3222 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0994   19.1140   45.9379 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7360   17.4597   45.5005 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3209   16.5896   43.3478 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
-  1  9  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6  8  1  0
-  8  9  2  0
-  8 10  1  0
-  9 12  1  0
+  1 12  1  0
+  2  7  1  0
+  2 10  1  0
+  3  4  1  0
+  3  7  2  0
+  3  8  1  0
+  5  6  1  0
+  5  8  2  0
+  5 10  1  0
+  8  9  1  0
  10 11  1  0
  11 12  2  0
  12 13  1  0
- 11 14  1  0
-  1 15  1  0
-V   14 *
-V   15 *
+ 13 14  1  0
+ 13 15  1  0
+ 16  1  1  0
+V   16 *
 M  END
->  <kinase>  (93) 
-PRP4
+>  <kinase>  (131) 
+JAK2
 
->  <family>  (93) 
-DYRK
+>  <family>  (131) 
+JakA
 
->  <group>  (93) 
-CMGC
+>  <group>  (131) 
+TK
 
->  <complex_pdb>  (93) 
-6pjj
+>  <complex_pdb>  (131) 
+3io7
 
->  <ligand_pdb>  (93) 
-OCJ
+>  <ligand_pdb>  (131) 
+1P5
 
->  <alt>  (93) 
-A
+>  <alt>  (131) 
+ 
 
->  <chain>  (93) 
-C
+>  <chain>  (131) 
+A
 
->  <atom.prop.subpocket>  (93) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP FP SE
+>  <atom.prop.subpocket>  (131) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (93) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (131) 
+16 14 14 14 14 14 14 14 14 14 14 14 5 5 5 na
 
 $$$$
-4l6q_chainB
+3tjc_chainA
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    1.6652   18.0647   40.8658 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4186   19.4131   41.1627 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7037   20.1891   40.4678 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2783   17.0817   41.8097 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4633   16.0374   41.6057 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6500   17.4638   43.0197 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3482   16.7173   43.7395 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4281   18.8080   43.2671 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2285   19.4648   44.4649 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3545   19.2642   45.3638 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2390   19.0769   44.5931 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2753   20.8768   44.2187 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1796   21.3455   44.9222 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8054   19.7321   42.3578 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6181   20.7730   42.5764 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2987   17.7867   39.6591 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  4  1  0
-  2  3  1  0
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+   -0.8035   20.3391   44.0144 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0846   16.3106   42.6072 S   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0458   21.1417   42.0242 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4538   21.0200   41.1083 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1703   22.0687   42.3616 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6951   18.3452   41.1619 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0482   19.0000   40.3789 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1097   18.6924   42.2971 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2867   17.6789   43.2239 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2106   20.0651   42.7973 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9091   17.9556   44.4971 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1564   19.3414   44.8727 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6149   19.5755   45.8221 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7591   16.9321   41.1945 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2877   16.8771   45.4058 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3721   16.1155   40.1077 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1 10  2  0
+  1 12  1  0
+  2  9  1  0
   2 14  1  0
-  4  5  1  0
-  4  6  2  0
+  3  4  1  0
+  3  5  1  0
+  3 10  1  0
   6  7  1  0
   6  8  1  0
-  8  9  1  0
-  8 14  2  0
-  9 10  1  0
+  6 14  2  0
+  8  9  2  0
+  8 10  1  0
   9 11  1  0
-  9 12  1  0
+ 11 12  2  0
  12 13  1  0
- 14 15  1  0
-  1 16  1  0
+ 11 15  1  0
+ 14 16  1  0
+V   15 *
 V   16 *
 M  END
->  <kinase>  (94) 
-ROCK2
+>  <kinase>  (132) 
+JAK2
 
->  <family>  (94) 
-DMPK
+>  <family>  (132) 
+JakA
 
->  <group>  (94) 
-AGC
+>  <group>  (132) 
+TK
 
->  <complex_pdb>  (94) 
-4l6q
+>  <complex_pdb>  (132) 
+3tjc
 
->  <ligand_pdb>  (94) 
-1WU
+>  <ligand_pdb>  (132) 
+0TP
 
->  <alt>  (94) 
+>  <alt>  (132) 
  
 
->  <chain>  (94) 
-B
+>  <chain>  (132) 
+A
 
->  <atom.prop.subpocket>  (94) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (132) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (94) 
-16 16 16 16 16 16 16 16 8 8 8 3 3 16 16 na
+>  <atom.prop.environment>  (132) 
+14 14 5 5 5 14 14 14 14 14 16 14 14 14 na na
 
 $$$$
-4wot_chainA
+4aqc_altB_chainB
      RDKit          3D
 
- 13 13  0  0  0  0  0  0  0  0999 V2000
-    0.0595   18.6671   43.3153 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3344   19.6206   44.2348 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5917   19.3230   45.2406 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0930   21.3079   42.6623 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1575   22.3589   42.4221 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3056   20.4124   41.6877 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5325   20.7532   40.6884 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4104   19.0527   42.0192 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1212   17.3693   43.6625 F   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3980   20.8997   43.8884 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7636   18.0559   41.1036 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2948   17.1659   41.1935 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6775   18.1713   40.1049 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  8  1  0
-  1  9  1  0
-  2  3  1  0
-  2 10  1  0
-  4  5  1  0
-  4  6  1  0
-  4 10  2  0
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    1.0560   19.0557   40.9146 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3243   19.0594   42.1340 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1430   18.0964   42.9200 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7195   18.7959   43.9110 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6595   20.1005   43.8745 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0228   20.2822   42.7003 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3537   21.4866   42.1707 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0764   22.4022   42.6719 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0445   21.5207   40.9915 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3196   22.4638   40.5430 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3938   20.2939   40.3665 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9397   20.3203   39.4350 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3343   18.1359   44.9614 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8388   18.7609   45.5737 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4116   16.8545   45.3501 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3926   17.7743   40.2760 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1 11  2  0
+  2  3  2  0
+  2  6  1  0
+  3  4  1  0
+  4  5  2  0
+  4 13  1  0
+  5  6  1  0
   6  7  1  0
-  6  8  2  0
-  8 11  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 11  1  0
  11 12  1  0
- 11 13  1  0
-V   13 *
+ 13 14  1  0
+ 13 15  1  0
+ 16  1  1  0
+V   15 *
+V   16 *
 M  END
->  <kinase>  (95) 
-ROCK2
+>  <kinase>  (133) 
+JAK2
 
->  <family>  (95) 
-DMPK
+>  <family>  (133) 
+JakA
 
->  <group>  (95) 
-AGC
+>  <group>  (133) 
+TK
 
->  <complex_pdb>  (95) 
-4wot
+>  <complex_pdb>  (133) 
+4aqc
 
->  <ligand_pdb>  (95) 
-3SG
+>  <ligand_pdb>  (133) 
+88A
 
->  <alt>  (95) 
- 
+>  <alt>  (133) 
+B
 
->  <chain>  (95) 
-A
+>  <chain>  (133) 
+B
 
->  <atom.prop.subpocket>  (95) 
-AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (133) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (95) 
-16 16 16 16 16 16 16 16 16 16 5 5 na
+>  <atom.prop.environment>  (133) 
+16 14 14 14 14 14 14 14 14 14 14 14 5 5 na na
 
 $$$$
-4wua_altB_chainA
+4c61_chainB
      RDKit          3D
 
- 15 15  0  0  0  0  0  0  0  0999 V2000
-    0.9439   20.2802   42.6621 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4479   19.4252   41.7092 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5069   18.3736   41.9479 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8853   19.8390   40.4568 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2485   19.1181   39.7393 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3530   21.9714   41.0748 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3180   23.0180   40.8106 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8899   21.6069   42.3144 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4939   22.3438   42.9974 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3859   18.4923   44.2619 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8029   17.8917   43.5652 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3875   19.8021   43.9713 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1360   20.6197   44.6680 O   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8521   21.1023   40.1594 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0986   17.8620   45.3630 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  8  1  0
-  1 12  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  1  0
-  4 14  2  0
-  6  7  1  0
-  6  8  2  0
-  6 14  1  0
+ 14 14  0  0  0  0  0  0  0  0999 V2000
+   -0.7656   18.6001   44.4366 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2976   18.9924   45.2003 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1911   19.4728   43.5199 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5359   20.7906   43.5871 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0889   21.3937   42.5967 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0349   22.4482   42.3693 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8490   20.4260   41.8730 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6576   20.6566   40.6716 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6352   21.7161   40.4164 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2525   20.0748   39.8437 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6863   20.3504   40.8617 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6508   19.2218   42.4782 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0720   18.2691   42.1927 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6472   17.2060   44.3592 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  3  4  1  0
+  3 12  2  0
+  4  5  2  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7 12  1  0
   8  9  1  0
- 10 11  1  0
- 10 12  1  0
- 12 13  2  0
- 10 15  1  0
-V   15 *
+  8 10  1  0
+  8 11  1  0
+ 12 13  1  0
+ 14  1  1  0
+V   14 *
 M  END
->  <kinase>  (96) 
-SRPK1
+>  <kinase>  (134) 
+JAK2
 
->  <family>  (96) 
-SRPK
+>  <family>  (134) 
+JakA
 
->  <group>  (96) 
-CMGC
+>  <group>  (134) 
+TK
 
->  <complex_pdb>  (96) 
-4wua
+>  <complex_pdb>  (134) 
+4c61
 
->  <ligand_pdb>  (96) 
-3UL
+>  <ligand_pdb>  (134) 
+LMM
 
->  <alt>  (96) 
-B
+>  <alt>  (134) 
+ 
 
->  <chain>  (96) 
-A
+>  <chain>  (134) 
+B
 
->  <atom.prop.subpocket>  (96) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE
+>  <atom.prop.subpocket>  (134) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP SE
 
->  <atom.prop.environment>  (96) 
-16 16 16 16 16 16 16 16 16 5 5 6 6 16 na
+>  <atom.prop.environment>  (134) 
+5 5 14 14 14 14 9 8 8 8 8 14 14 na
 
 $$$$
-5my8_altA_chainA
+4gmy_chainA
      RDKit          3D
 
  13 13  0  0  0  0  0  0  0  0999 V2000
-    0.2373   18.6648   44.5290 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7248   18.2066   43.7724 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1825   20.0002   44.4476 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2581   20.7204   45.3316 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6929   20.5495   43.2201 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2365   19.7285   42.2557 O   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6278   20.5495   41.2303 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3439   21.8377   41.5510 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5382   22.7067   40.9400 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7562   21.8317   42.8121 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4140   22.6957   43.3624 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2856   17.8044   45.5160 *   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2854   19.9298   40.0675 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  3  4  2  0
-  3  5  1  0
-  5  6  1  0
-  5 10  2  0
+    0.3389   18.1526   42.1511 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5948   19.5176   42.0092 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1028   19.8792   41.1274 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2030   20.4082   42.9879 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3996   21.4631   42.8658 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6482   17.1531   41.2209 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3460   16.2164   41.4477 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4127   19.9735   44.0755 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6761   18.6850   44.2593 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3268   17.7609   43.2952 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5772   16.7200   43.4375 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3053   17.3075   40.0566 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3382   18.2614   45.4146 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  6  1  0
+  1 10  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  8  2  0
   6  7  1  0
-  7  8  2  0
   8  9  1  0
-  8 10  1  0
+  9 10  2  0
  10 11  1  0
-  1 12  1  0
-  7 13  1  0
+ 12  6  1  0
+  9 13  1  0
 V   12 *
 V   13 *
 M  END
->  <kinase>  (97) 
-SRPK1
+>  <kinase>  (135) 
+JAK2
 
->  <family>  (97) 
-SRPK
+>  <family>  (135) 
+JakA
 
->  <group>  (97) 
-CMGC
+>  <group>  (135) 
+TK
 
->  <complex_pdb>  (97) 
-5my8
+>  <complex_pdb>  (135) 
+4gmy
 
->  <ligand_pdb>  (97) 
-RXZ
+>  <ligand_pdb>  (135) 
+0X5
 
->  <alt>  (97) 
-A
+>  <alt>  (135) 
+ 
 
->  <chain>  (97) 
+>  <chain>  (135) 
 A
 
->  <atom.prop.subpocket>  (97) 
-AP AP AP AP AP AP AP AP AP AP AP SE GA
+>  <atom.prop.subpocket>  (135) 
+AP AP AP AP AP AP AP AP AP AP AP FP SE
 
->  <atom.prop.environment>  (97) 
-5 5 6 6 14 14 14 14 14 14 14 na na
+>  <atom.prop.environment>  (135) 
+16 14 14 14 14 5 5 14 14 14 14 na na
 
 $$$$
-1vjy_chainA
+5aep_altA_chainA
      RDKit          3D
 
- 16 17  0  0  0  0  0  0  0  0999 V2000
-    0.9149   18.9739   41.1746 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6546   20.2999   41.6063 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9152   21.1439   40.9849 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0447   20.4926   42.8723 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1581   21.4970   43.2137 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3012   19.4056   43.6912 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8957   19.6088   44.9161 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2107   18.4916   45.6737 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6770   18.6393   46.6366 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9533   17.1751   45.2508 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2122   16.3288   45.8698 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3400   16.9967   43.9791 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1314   15.9962   43.6298 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0013   18.0944   43.1655 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5923   17.8855   41.9459 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5412   18.6703   39.8745 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    0.2741   18.2512   42.3624 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3616   18.0583   43.5411 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7263   19.0942   44.3134 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2320   18.9088   45.2495 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4713   20.3546   43.9385 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1849   20.5570   42.7223 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5533   19.5456   41.9453 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5206   21.7366   42.1897 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3336   22.7079   42.6231 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1513   21.4882   40.9821 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5433   22.2335   40.3059 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1913   20.1195   40.7940 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6153   19.5902   39.9535 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6711   17.0871   41.5203 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
-  1 15  1  0
+  1  7  1  0
   2  3  1  0
-  2  4  1  0
-  4  5  1  0
-  4  6  2  0
+  3  4  1  0
+  3  5  2  0
+  5  6  1  0
   6  7  1  0
-  6 14  1  0
-  7  8  2  0
+  6  8  1  0
+  7 12  2  0
   8  9  1  0
-  8 10  1  0
+  8 10  2  0
  10 11  1  0
- 10 12  2  0
+ 10 12  1  0
  12 13  1  0
- 12 14  1  0
- 14 15  2  0
-  1 16  1  0
-V   16 *
+ 14  1  1  0
+V   14 *
 M  END
->  <kinase>  (98) 
-TGFbR1
+>  <kinase>  (136) 
+JAK2
 
->  <family>  (98) 
-STKR
+>  <family>  (136) 
+JakA
 
->  <group>  (98) 
-TKL
+>  <group>  (136) 
+TK
 
->  <complex_pdb>  (98) 
-1vjy
+>  <complex_pdb>  (136) 
+5aep
 
->  <ligand_pdb>  (98) 
-460
+>  <ligand_pdb>  (136) 
+QUP
 
->  <alt>  (98) 
- 
+>  <alt>  (136) 
+A
 
->  <chain>  (98) 
+>  <chain>  (136) 
 A
 
->  <atom.prop.subpocket>  (98) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (136) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (98) 
-14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (136) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
-2wot_altB_chainA
+5wev_altB_chainA
      RDKit          3D
 
- 14 14  0  0  0  0  0  0  0  0999 V2000
-   -1.1045   18.2969   44.9085 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5212   18.7779   45.6928 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4520   19.0999   43.9672 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5874   18.5600   43.2159 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8915   17.5317   43.3437 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2202   19.3844   42.2978 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2468   18.8735   41.5305 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8127   20.7181   42.1454 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2852   21.3775   41.4324 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2283   21.1478   42.9568 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5552   22.1724   42.8577 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8548   20.3748   43.8553 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9222   19.6978   40.6690 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2488   16.8917   44.8904 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  3  4  2  0
-  3 12  1  0
-  4  5  1  0
-  4  6  1  0
-  6  7  1  0
-  6  8  2  0
-  8  9  1  0
-  8 10  1  0
- 10 11  1  0
- 10 12  2  0
-  7 13  1  0
-  1 14  1  0
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    0.7489   18.9170   42.0180 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8723   16.8223   41.2847 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8060   20.2949   42.2486 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3268   20.9511   41.5670 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1819   20.7888   43.3644 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1997   21.8511   43.5580 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2362   18.1136   41.0070 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7667   18.4228   40.2051 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4459   19.9777   44.2128 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5405   18.6620   44.0808 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0665   18.0615   42.9362 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1881   16.8044   42.4229 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2631   18.0419   45.1213 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1805   15.6361   40.4253 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  3  2  0
+  1  7  1  0
+  1 11  1  0
+  2  7  1  0
+  2 12  2  0
+  3  4  1  0
+  3  5  1  0
+  5  6  1  0
+  5  9  2  0
+  7  8  1  0
+  9 10  1  0
+ 10 11  2  0
+ 11 12  1  0
+ 10 13  1  0
+ 14  2  1  0
 V   13 *
 V   14 *
 M  END
->  <kinase>  (99) 
-TGFbR1
+>  <kinase>  (137) 
+JAK2
 
->  <family>  (99) 
-STKR
+>  <family>  (137) 
+JakA
 
->  <group>  (99) 
-TKL
+>  <group>  (137) 
+TK
 
->  <complex_pdb>  (99) 
-2wot
+>  <complex_pdb>  (137) 
+5wev
 
->  <ligand_pdb>  (99) 
-ZZG
+>  <ligand_pdb>  (137) 
+9ZS
 
->  <alt>  (99) 
+>  <alt>  (137) 
 B
 
->  <chain>  (99) 
+>  <chain>  (137) 
 A
 
->  <atom.prop.subpocket>  (99) 
-AP AP AP AP AP AP AP AP AP AP AP AP GA SE
+>  <atom.prop.subpocket>  (137) 
+AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (99) 
-5 5 14 14 14 14 3 14 14 14 14 14 na na
+>  <atom.prop.environment>  (137) 
+14 14 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
-5c01_chainA
+5ut5_altB_chainA
      RDKit          3D
 
- 11 11  0  0  0  0  0  0  0  0999 V2000
-    0.5817   18.2351   40.2789 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0554   18.3355   41.5418 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0233   17.2596   42.3693 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4061   19.5763   41.9766 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3465   20.4391   41.3298 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9192   19.6844   43.1941 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9930   18.6341   44.0085 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4095   18.7607   44.9969 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5390   17.3590   43.6092 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3693   16.9010   39.7379 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6406   16.2442   44.4817 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  2  3  2  0
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    0.2050   17.9401   40.9367 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5704   18.8874   39.9841 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0174   18.5649   39.0554 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3678   20.2379   40.2126 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6527   20.9647   39.4662 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1997   20.6476   41.3988 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3704   21.6953   41.5977 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5573   19.6523   42.3600 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2486   18.5315   44.0955 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3521   18.3578   42.1239 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8007   17.6310   43.2168 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1241   19.7733   43.5889 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8591   18.2732   45.3706 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4718   16.4487   40.6441 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 10  1  0
+  2  3  1  0
   2  4  1  0
-  3  9  1  0
   4  5  1  0
   4  6  2  0
   6  7  1  0
-  7  8  1  0
-  7  9  2  0
-  1 10  1  0
-  9 11  1  0
-V   10 *
-V   11 *
+  6  8  1  0
+  8 10  1  0
+  8 12  2  0
+  9 11  2  0
+  9 12  1  0
+ 10 11  1  0
+  9 13  1  0
+ 14  1  1  0
+V   13 *
+V   14 *
 M  END
->  <kinase>  (100) 
-TYK2-b
+>  <kinase>  (138) 
+JAK2-b
 
->  <family>  (100) 
+>  <family>  (138) 
 JakB
 
->  <group>  (100) 
+>  <group>  (138) 
 TK
 
->  <complex_pdb>  (100) 
-5c01
+>  <complex_pdb>  (138) 
+5ut5
 
->  <ligand_pdb>  (100) 
-UNL
+>  <ligand_pdb>  (138) 
+2HB
 
->  <alt>  (100) 
- 
+>  <alt>  (138) 
+B
 
->  <chain>  (100) 
+>  <chain>  (138) 
 A
 
->  <atom.prop.subpocket>  (100) 
-AP AP AP AP AP AP AP AP AP FP SE
+>  <atom.prop.subpocket>  (138) 
+AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (100) 
-3 14 14 14 14 14 14 14 14 na na
+>  <atom.prop.environment>  (138) 
+14 14 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
-6mnh_altA_chainA
+2o2u_chainA
      RDKit          3D
 
- 14 15  0  0  0  0  0  0  0  0999 V2000
-    1.6237   20.0071   39.9101 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1350   20.3054   39.0068 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2792   20.9824   40.8592 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5263   22.0212   40.6969 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6451   18.2171   41.2735 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3984   17.1794   41.4429 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3164   18.6477   40.1117 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3167   19.2253   42.1992 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6061   20.5790   42.0245 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3203   19.2070   43.4063 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6821   18.3709   43.8424 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4090   20.4475   43.9503 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1400   21.3124   43.0924 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7166   17.7277   39.0181 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 22 23  0  0  0  0  0  0  0  0999 V2000
+    1.3305   18.6436   42.5408 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3157   19.5915   42.8892 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3042   17.7895   43.0423 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7576   18.1745   43.8577 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9725   19.5119   44.3008 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1163   20.6208   44.6154 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1887   16.1983   42.7764 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1497   15.9139   43.5992 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8242   14.5776   43.7483 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2606   13.9681   44.4546 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8512   14.0793   42.7792 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2645   14.7547   44.2678 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6383   13.7879   44.6051 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8895   15.1220   43.4538 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3370   15.7541   45.4417 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7154   15.3842   46.2571 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.3713   15.8272   45.7777 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8417   17.1669   45.0363 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6202   17.7358   45.9392 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6291   17.6692   44.4743 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5891   17.1001   44.1766 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3532   18.3524   41.6353 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  2  0
-  1  7  1  0
-  3  4  1  0
-  3  9  1  0
-  5  6  1  0
-  5  7  2  0
-  5  8  1  0
-  8  9  2  0
-  8 10  1  0
-  9 13  1  0
- 10 11  1  0
- 10 12  1  0
- 12 13  2  0
-  7 14  1  0
-V   14 *
+  1  3  1  0
+  3  4  2  0
+  3  7  1  0
+  4  5  1  0
+  4 21  1  0
+  5  6  3  0
+  7  8  1  0
+  8  9  1  0
+  8 21  2  0
+  9 10  1  0
+  9 11  1  0
+  9 12  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 12 15  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 18 19  1  0
+ 18 20  1  0
+ 18 21  1  0
+ 22  1  1  0
+V   22 *
 M  END
->  <kinase>  (101) 
-ULK1
+>  <kinase>  (139) 
+JNK3
 
->  <family>  (101) 
-ULK
+>  <family>  (139) 
+MAPK
 
->  <group>  (101) 
-Other
+>  <group>  (139) 
+CMGC
 
->  <complex_pdb>  (101) 
-6mnh
+>  <complex_pdb>  (139) 
+2o2u
 
->  <ligand_pdb>  (101) 
-JVD
+>  <ligand_pdb>  (139) 
+738
 
->  <alt>  (101) 
-A
+>  <alt>  (139) 
+ 
 
->  <chain>  (101) 
+>  <chain>  (139) 
 A
 
->  <atom.prop.subpocket>  (101) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP FP
+>  <atom.prop.subpocket>  (139) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (101) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (139) 
+5 5 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
-1zyj_chainA
+2zdt_altA_chainA
      RDKit          3D
 
- 19 19  0  0  0  0  0  0  0  0999 V2000
-   -3.0285   17.5065   43.8081 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.5113   18.4819   43.8685 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.7166   16.7874   43.3637 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8413   17.6205   42.9429 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5341   16.8563   42.3582 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1948   18.7842   42.9724 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2191   18.8776   42.4212 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7824   20.1942   42.1770 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2474   21.0983   42.4276 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1040   20.2277   41.5777 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5774   21.1772   41.3756 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7963   18.9890   41.2467 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2267   17.6779   41.5136 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7649   16.7731   41.2726 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9070   17.6320   42.1165 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4405   16.6831   42.3366 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.7392   19.7812   43.4541 O   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9803   18.9827   40.6172 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6869   17.0492   45.2042 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  4  1  0
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+   -0.6925   19.0342   43.6093 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1710   20.4044   43.5533 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7110   21.2288   43.9950 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1034   20.6093   42.8789 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5296   21.5990   42.8068 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6047   16.5867   43.0908 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5302   17.5530   44.3331 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0360   18.7860   44.2355 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8031   19.4557   42.2976 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2754   18.0910   42.3656 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8115   17.2581   41.9352 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0081   17.9064   43.0325 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8645   16.4299   43.7717 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2628   19.6866   41.5354 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6888   19.7382   44.6510 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5088   15.0511   43.8495 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8347   17.3836   45.0032 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0119   15.4417   42.4395 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  1 12  1  0
+  2  3  1  0
+  2  4  1  0
   4  5  1  0
-  4  6  1  0
-  6  7  1  0
-  6 17  2  0
-  7  8  2  0
-  7 15  1  0
-  8  9  1  0
-  8 10  1  0
+  4  9  2  0
+  6 12  1  0
+  6 13  2  0
+  7  8  1  0
+  7 13  1  0
+  8 15  2  0
+  9 10  1  0
+  9 14  1  0
  10 11  1  0
  10 12  2  0
- 12 13  1  0
- 13 14  1  0
- 13 15  2  0
- 15 16  1  0
- 12 18  1  0
-  1 19  1  0
+ 16 13  1  0
+  7 17  1  0
+  6 18  1  0
+V   16 *
+V   17 *
 V   18 *
-V   19 *
 M  END
->  <kinase>  (102) 
-p38a
+>  <kinase>  (140) 
+JNK3
 
->  <family>  (102) 
+>  <family>  (140) 
 MAPK
 
->  <group>  (102) 
+>  <group>  (140) 
 CMGC
 
->  <complex_pdb>  (102) 
-1zyj
+>  <complex_pdb>  (140) 
+2zdt
 
->  <ligand_pdb>  (102) 
-BI5
+>  <ligand_pdb>  (140) 
+46C
 
->  <alt>  (102) 
- 
+>  <alt>  (140) 
+A
 
->  <chain>  (102) 
+>  <chain>  (140) 
 A
 
->  <atom.prop.subpocket>  (102) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA SE
+>  <atom.prop.subpocket>  (140) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE SE FP
 
->  <atom.prop.environment>  (102) 
-8 8 8 5 5 6 16 16 16 16 16 16 16 16 16 16 6 na na
+>  <atom.prop.environment>  (140) 
+14 14 14 14 14 16 9 14 14 14 14 14 14 14 14 na na na
 
 $$$$
-1zzl_chainA
+3cgf_chainA
      RDKit          3D
 
- 23 24  0  0  0  0  0  0  0  0999 V2000
-    1.0913   18.2763   41.8731 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1973   17.2127   41.7187 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8219   21.0145   42.2225 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7127   22.0793   42.3662 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1872   16.6370   43.4177 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2256   16.1306   43.3339 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8344   20.5254   41.4464 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5077   21.2076   40.9486 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0956   20.1032   42.8455 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0041   19.1359   41.2926 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0513   18.7421   42.6427 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9509   18.1394   43.3517 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1326   16.2526   42.2653 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.0809   16.7771   42.3830 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3078   15.1769   42.2825 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6787   16.5316   41.3144 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8172   16.2099   44.7472 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.7840   16.6992   44.8650 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1617   16.4979   45.5691 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9541   15.1285   44.7536 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1524   20.2726   43.6411 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6763   19.1057   43.9111 N   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0196   18.5621   40.4144 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    0.0112   18.5631   43.1360 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8870   17.8733   43.9435 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6400   18.8542   44.6509 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6531   18.3774   45.5600 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2541   19.0791   46.1192 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8493   17.0290   45.7106 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6076   16.6829   46.3973 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0559   16.0388   44.9632 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2308   14.9811   45.0939 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1019   16.4811   44.1080 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5053   15.7732   43.5519 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2781   20.0692   44.3422 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2649   19.9088   43.4179 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2603   20.7338   42.9598 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0138   17.9820   42.2181 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1 10  2  0
-  1 11  1  0
+  1 13  2  0
+  2  3  1  0
+  2 10  1  0
   3  4  1  0
-  3  7  2  0
-  3  9  1  0
-  5  6  1  0
-  5 12  1  0
-  5 13  1  0
-  5 17  1  0
-  7  8  1  0
-  7 10  1  0
-  9 11  1  0
-  9 21  2  0
- 11 12  1  0
- 12 22  2  0
- 13 14  1  0
- 13 15  1  0
- 13 16  1  0
- 17 18  1  0
- 17 19  1  0
- 17 20  1  0
- 21 22  1  0
- 10 23  1  0
-V   23 *
+  3 12  2  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6  8  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 12 13  1  0
+ 13 14  1  0
+ 15  1  1  0
+V   15 *
 M  END
->  <kinase>  (103) 
-p38a
+>  <kinase>  (141) 
+JNK3
 
->  <family>  (103) 
+>  <family>  (141) 
 MAPK
 
->  <group>  (103) 
+>  <group>  (141) 
 CMGC
 
->  <complex_pdb>  (103) 
-1zzl
+>  <complex_pdb>  (141) 
+3cgf
 
->  <ligand_pdb>  (103) 
-TZY
+>  <ligand_pdb>  (141) 
+JNF
 
->  <alt>  (103) 
+>  <alt>  (141) 
  
 
->  <chain>  (103) 
+>  <chain>  (141) 
 A
 
->  <atom.prop.subpocket>  (103) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <atom.prop.subpocket>  (141) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
 
->  <atom.prop.environment>  (103) 
-16 16 16 16 8 8 16 16 16 16 16 16 8 8 8 8 8 8 8 8 16 16 na
+>  <atom.prop.environment>  (141) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
-3c5u_chainA
+8enj_chainA
      RDKit          3D
 
- 16 17  0  0  0  0  0  0  0  0999 V2000
-    1.0918   18.7221   42.9355 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6707   18.5874   44.6486 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5321   19.9406   43.3084 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9673   21.0354   41.7630 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2827   21.9302   41.2470 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9793   21.1255   42.7113 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5596   22.0812   42.9886 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0891   18.6257   41.9835 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4730   17.6663   41.6696 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5804   19.8113   41.4444 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4644   19.8454   44.2735 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6069   18.2750   45.6042 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0853   19.0489   46.0428 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4232   17.4518   43.8736 S   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9768   16.9407   46.0465 *   0  0  0  0  0  0  0  0  0  0  0  0
-    3.5239   19.7530   40.3415 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  3  2  0
-  1  8  1  0
-  1 14  1  0
-  2 11  2  0
-  2 12  1  0
-  2 14  1  0
-  3  6  1  0
-  3 11  1  0
-  4  5  1  0
-  4  6  2  0
-  4 10  1  0
-  6  7  1  0
-  8  9  1  0
-  8 10  2  0
+ 22 22  0  0  0  0  0  0  0  0999 V2000
+   -1.2739   18.7024   44.4857 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5119   17.7907   43.6469 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6796   16.7283   43.7453 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4427   18.2479   42.7051 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6084   19.6656   42.6304 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3197   20.0952   41.9405 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1759   20.5105   43.4774 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0341   21.5784   43.4002 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6096   17.6404   44.9178 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.3206   17.6766   45.7432 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.9564   18.2859   44.1109 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5181   16.1497   44.3818 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0507   16.1593   43.3972 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.5265   15.7437   44.3013 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7120   15.2651   45.2910 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5255   15.8185   46.2114 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7644   15.0559   44.7946 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0937   20.0485   44.3781 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2565   18.1441   45.4077 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0358   18.0901   46.3918 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3716   13.8611   45.6924 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2556   17.2942   41.8319 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 18  1  0
+  1 19  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7 18  2  0
+  9 10  1  0
+  9 11  1  0
+  9 12  1  0
+  9 19  1  0
  12 13  1  0
+ 12 14  1  0
  12 15  1  0
- 10 16  1  0
-V   15 *
-V   16 *
+ 15 16  1  0
+ 15 17  1  0
+ 19 20  1  0
+ 15 21  1  0
+ 22  4  1  0
+V   21 *
+V   22 *
 M  END
->  <kinase>  (104) 
-p38a
+>  <kinase>  (142) 
+JNK3
 
->  <family>  (104) 
+>  <family>  (142) 
 MAPK
 
->  <group>  (104) 
+>  <group>  (142) 
 CMGC
 
->  <complex_pdb>  (104) 
-3c5u
+>  <complex_pdb>  (142) 
+8enj
 
->  <ligand_pdb>  (104) 
-P41
+>  <ligand_pdb>  (142) 
+WNK
 
->  <alt>  (104) 
+>  <alt>  (142) 
  
 
->  <chain>  (104) 
+>  <chain>  (142) 
 A
 
->  <atom.prop.subpocket>  (104) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE GA
+>  <atom.prop.subpocket>  (142) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (104) 
-16 16 16 16 16 16 16 16 16 16 16 5 5 16 na na
+>  <atom.prop.environment>  (142) 
+14 14 14 16 14 14 14 14 4 4 4 4 4 4 4 4 4 14 5 5 na na
 
 $$$$
-3kf7_chainA
+3bgq_chainA
      RDKit          3D
 
- 14 15  0  0  0  0  0  0  0  0999 V2000
-    0.6349   20.9743   42.0776 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5901   22.0533   42.0609 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2823   20.1066   42.9350 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2016   18.7827   42.9398 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7878   18.0678   42.1209 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8629   16.9905   42.1269 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6161   18.8537   41.3432 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5315   20.2344   41.3227 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2091   20.7714   40.6755 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1537   18.2923   43.8108 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2590   20.4514   43.7698 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.7853   19.3017   44.2907 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6320   18.1343   40.4938 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5205   16.9004   44.2017 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  8  2  0
-  3  4  1  0
-  3 11  2  0
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    0.4393   18.5870   43.8686 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5820   20.8442   42.4743 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1079   21.3769   43.2854 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9680   21.5671   41.2690 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7829   22.6285   41.1945 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6040   20.8595   40.1629 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8859   21.4036   39.2736 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8316   19.3833   42.6035 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4742   18.7193   41.4662 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6680   17.6592   41.5370 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0651   19.1592   44.9291 F   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8614   17.2949   43.8287 F   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9177   18.5943   43.9655 F   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8665   19.4117   40.2437 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4569   18.6364   39.1060 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  8  1  0
+  1 11  1  0
+  1 12  1  0
+  1 13  1  0
+  2  3  1  0
+  2  4  2  0
+  2  8  1  0
   4  5  1  0
-  4 10  1  0
-  5  6  1  0
-  5  7  2  0
-  7  8  1  0
-  8  9  1  0
- 10 12  2  0
- 11 12  1  0
-  7 13  1  0
- 10 14  1  0
-V   13 *
-V   14 *
+  4  6  1  0
+  6  7  1  0
+  6 14  2  0
+  8  9  2  0
+  9 10  1  0
+  9 14  1  0
+ 14 15  1  0
+V   15 *
 M  END
->  <kinase>  (105) 
-p38a
+>  <kinase>  (143) 
+PIM1
 
->  <family>  (105) 
-MAPK
+>  <family>  (143) 
+PIM
 
->  <group>  (105) 
-CMGC
+>  <group>  (143) 
+CAMK
 
->  <complex_pdb>  (105) 
-3kf7
+>  <complex_pdb>  (143) 
+3bgq
 
->  <ligand_pdb>  (105) 
-L9G
+>  <ligand_pdb>  (143) 
+VX2
 
->  <alt>  (105) 
+>  <alt>  (143) 
  
 
->  <chain>  (105) 
+>  <chain>  (143) 
 A
 
->  <atom.prop.subpocket>  (105) 
-AP AP AP AP AP AP AP AP AP AP AP AP GA SE
+>  <atom.prop.subpocket>  (143) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (105) 
-14 14 14 14 14 14 14 14 14 14 14 14 na na
+>  <atom.prop.environment>  (143) 
+8 16 16 16 16 16 16 16 16 16 8 8 8 16 na
 
 $$$$
-3ocg_chainA
+4mbl_chainA
      RDKit          3D
 
- 21 22  0  0  0  0  0  0  0  0999 V2000
-   -0.6711   18.6035   43.3719 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5443   20.1001   43.6616 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4373   20.5385   42.9984 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7760   21.5640   42.9964 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0222   19.4955   42.2647 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3192   18.3117   42.5128 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6356   17.1376   41.9555 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4175   17.0749   41.3193 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0925   16.3137   42.1709 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5931   17.7111   43.8703 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.5581   17.1003   42.9853 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.5463   17.3511   41.9349 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.5166   16.1816   43.4673 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.2275   15.7408   42.7841 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.5523   15.8355   44.8341 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.2846   15.1322   45.2023 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6133   16.4241   45.7173 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6387   16.1616   46.7646 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6410   17.3495   45.2593 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9370   17.7820   45.9548 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1435   19.6253   41.4092 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  6  1  0
-  1 10  1  0
-  2  3  2  0
-  3  4  1  0
-  3  5  1  0
-  5  6  2  0
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    1.8551   18.8546   40.1982 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6870   20.2215   40.4404 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0428   20.9372   39.7140 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0799   20.6671   41.5811 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9857   21.7291   41.7534 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5713   19.7550   42.5426 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7263   18.3641   42.3028 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3713   17.9419   41.1117 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4855   16.8858   40.9168 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1576   20.1685   43.6921 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3381   21.2199   43.8605 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6327   19.2477   44.5871 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1477   19.5822   45.4756 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4599   17.8938   44.3650 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8668   17.1805   45.0664 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2234   17.4483   43.2625 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3803   16.3888   43.1234 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5564   18.3859   38.9661 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
   6  7  1  0
-  7  8  1  0
-  7  9  1  0
- 10 11  2  0
- 10 19  1  0
- 11 12  1  0
- 11 13  1  0
- 13 14  1  0
- 13 15  2  0
- 15 16  1  0
- 15 17  1  0
- 17 18  1  0
- 17 19  2  0
- 19 20  1  0
-  5 21  1  0
-V   21 *
+  6 10  1  0
+  7  8  2  0
+  7 16  1  0
+  8  9  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  1  0
+ 14 16  2  0
+ 16 17  1  0
+ 18  1  1  0
+V   18 *
 M  END
->  <kinase>  (106) 
-p38a
+>  <kinase>  (144) 
+PIM1
 
->  <family>  (106) 
-MAPK
+>  <family>  (144) 
+PIM
 
->  <group>  (106) 
-CMGC
+>  <group>  (144) 
+CAMK
 
->  <complex_pdb>  (106) 
-3ocg
+>  <complex_pdb>  (144) 
+4mbl
 
->  <ligand_pdb>  (106) 
-OCG
+>  <ligand_pdb>  (144) 
+26L
 
->  <alt>  (106) 
+>  <alt>  (144) 
  
 
->  <chain>  (106) 
+>  <chain>  (144) 
 A
 
->  <atom.prop.subpocket>  (106) 
-AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA
+>  <atom.prop.subpocket>  (144) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP
 
->  <atom.prop.environment>  (106) 
-9 9 9 9 9 9 5 5 5 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (144) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-3roc_chainA
+3gfw_chainA
      RDKit          3D
 
- 11 11  0  0  0  0  0  0  0  0999 V2000
-    1.2924   19.2099   42.3681 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2417   19.7944   43.0589 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7338   18.8972   43.8051 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4847   17.5408   43.7242 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7072   17.0824   42.9267 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9191   16.0259   42.8531 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4820   17.9258   42.3284 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0126   21.4984   43.0883 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6912   19.4127   44.4354 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1749   20.0014   41.6914 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3042   16.5357   44.3520 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  7  1  0
-  2  3  1  0
-  2  8  1  0
-  3  4  1  0
-  3  9  2  0
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+   -1.5551   18.0532   46.1316 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8641   18.8224   46.7086 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6594   18.3510   45.1495 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0230   17.3948   44.3645 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2403   16.3471   44.5113 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3716   19.6586   44.9374 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4945   20.0656   43.9940 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8947   21.2690   43.6120 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5874   22.1514   43.9954 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7825   21.0996   42.6233 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3035   21.8996   42.1184 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9317   19.7998   42.3506 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5664   19.3719   41.5886 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1519   19.1346   43.1938 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8990   17.7856   43.3838 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0785   16.8284   46.4187 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5260   16.8995   42.5849 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  3  4  2  0
+  3  6  1  0
   4  5  1  0
-  5  6  1  0
-  5  7  2  0
-  1 10  1  0
-  4 11  1  0
-V   10 *
-V   11 *
+  4 15  1  0
+  6  7  2  0
+  7  8  1  0
+  7 14  1  0
+  8  9  1  0
+  8 10  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  2  0
+ 16  1  1  0
+ 15 17  1  0
+V   16 *
+V   17 *
 M  END
->  <kinase>  (107) 
-p38a
+>  <kinase>  (145) 
+TTK
 
->  <family>  (107) 
-MAPK
+>  <family>  (145) 
+TTK
 
->  <group>  (107) 
-CMGC
+>  <group>  (145) 
+Other
 
->  <complex_pdb>  (107) 
-3roc
+>  <complex_pdb>  (145) 
+3gfw
 
->  <ligand_pdb>  (107) 
-29A
+>  <ligand_pdb>  (145) 
+S22
 
->  <alt>  (107) 
+>  <alt>  (145) 
  
 
->  <chain>  (107) 
+>  <chain>  (145) 
 A
 
->  <atom.prop.subpocket>  (107) 
-AP AP AP AP AP AP AP AP AP GA SE
+>  <atom.prop.subpocket>  (145) 
+AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP SE FP
 
->  <atom.prop.environment>  (107) 
-9 9 9 9 9 9 9 9 9 na na
+>  <atom.prop.environment>  (145) 
+5 5 14 14 14 14 14 14 14 14 14 14 14 14 16 na na
 
 $$$$
diff --git a/data/fragment_library_custom_filtered/B1.sdf b/data/fragment_library_custom_filtered/B1.sdf
index 300bcc33..b49823f1 100644
--- a/data/fragment_library_custom_filtered/B1.sdf
+++ b/data/fragment_library_custom_filtered/B1.sdf
@@ -29,7 +29,7 @@
  10 11  1  0
  10 12  2  0
  12 13  1  0
-  1 14  1  0
+ 14  1  1  0
 V   14 *
 M  END
 >  <kinase>  (1) 
@@ -57,7 +57,73 @@ D
 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 GA
 
 >  <atom.prop.environment>  (1) 
-16 16 16 16 16 8 8 8 8 16 16 16 16 na
+14 14 14 14 16 8 8 8 8 14 14 14 14 na
+
+$$$$
+8fll_altA_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    4.8296   20.9935   35.8273 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.0833   21.3103   33.4837 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1263   22.2768   33.4416 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8700   22.7642   32.5125 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1321   23.1702   36.9951 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7528   23.2848   38.0106 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3394   22.7875   36.3522 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4678   24.1376   36.6214 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.4660   20.6598   34.6278 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.2406   19.9076   34.6034 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.7138   20.9814   32.3310 F   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4912   22.6174   34.6216 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7249   23.3785   34.6226 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8385   21.9815   35.8035 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2272   22.2546   36.9967 O   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3410   20.2610   37.0270 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  9  2  0
+  1 14  1  0
+  2  3  2  0
+  2  9  1  0
+  2 11  1  0
+  3  4  1  0
+  3 12  1  0
+  5  6  1  0
+  5  7  1  0
+  5  8  1  0
+  5 15  1  0
+  9 10  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+  1 16  1  0
+V   16 *
+M  END
+>  <kinase>  (2) 
+BTK
+
+>  <family>  (2) 
+Tec
+
+>  <group>  (2) 
+TK
+
+>  <complex_pdb>  (2) 
+8fll
+
+>  <ligand_pdb>  (2) 
+Y7W
+
+>  <alt>  (2) 
+A
+
+>  <chain>  (2) 
+A
+
+>  <atom.prop.subpocket>  (2) 
+B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 GA
+
+>  <atom.prop.environment>  (2) 
+16 16 16 16 3 3 3 3 16 16 16 16 16 16 3 na
 
 $$$$
 3poz_chainA
@@ -96,31 +162,31 @@ $$$$
  14 15  1  0
 V   15 *
 M  END
->  <kinase>  (2) 
+>  <kinase>  (3) 
 EGFR
 
->  <family>  (2) 
+>  <family>  (3) 
 EGFR
 
->  <group>  (2) 
+>  <group>  (3) 
 TK
 
->  <complex_pdb>  (2) 
+>  <complex_pdb>  (3) 
 3poz
 
->  <ligand_pdb>  (2) 
+>  <ligand_pdb>  (3) 
 03P
 
->  <alt>  (2) 
+>  <alt>  (3) 
  
 
->  <chain>  (2) 
+>  <chain>  (3) 
 A
 
->  <atom.prop.subpocket>  (2) 
+>  <atom.prop.subpocket>  (3) 
 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 GA
 
->  <atom.prop.environment>  (2) 
+>  <atom.prop.environment>  (3) 
 16 16 16 16 16 8 8 8 8 16 16 16 16 16 na
 
 $$$$
@@ -161,33 +227,93 @@ $$$$
  12 15  1  0
 V   15 *
 M  END
->  <kinase>  (3) 
+>  <kinase>  (4) 
 EGFR
 
->  <family>  (3) 
+>  <family>  (4) 
 EGFR
 
->  <group>  (3) 
+>  <group>  (4) 
 TK
 
->  <complex_pdb>  (3) 
+>  <complex_pdb>  (4) 
 3w33
 
->  <ligand_pdb>  (3) 
+>  <ligand_pdb>  (4) 
 W19
 
->  <alt>  (3) 
+>  <alt>  (4) 
 A
 
->  <chain>  (3) 
+>  <chain>  (4) 
 A
 
->  <atom.prop.subpocket>  (3) 
+>  <atom.prop.subpocket>  (4) 
 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 GA
 
->  <atom.prop.environment>  (3) 
+>  <atom.prop.environment>  (4) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+6wa2_altA_chainA
+     RDKit          3D
+
+ 13 13  0  0  0  0  0  0  0  0999 V2000
+    3.1458   23.6113   33.2905 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0887   23.9075   32.2535 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9066   22.0706   34.9720 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4297   21.1668   35.2476 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3016   22.8566   35.9459 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6081   23.9970   35.5920 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5350   24.3825   34.2625 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0033   25.2812   33.9869 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8315   22.4588   33.6435 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0072   24.7470   36.5624 F   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4484   21.6888   32.6483 O   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9044   20.9059   32.9654 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3332   22.4618   37.4215 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  7  2  0
+  1  9  1  0
+  3  4  1  0
+  3  5  1  0
+  3  9  2  0
+  5  6  2  0
+  6  7  1  0
+  6 10  1  0
+  7  8  1  0
+  9 11  1  0
+ 11 12  1  0
+ 13  5  1  0
+V   13 *
+M  END
+>  <kinase>  (5) 
+EGFR
+
+>  <family>  (5) 
+EGFR
+
+>  <group>  (5) 
+TK
+
+>  <complex_pdb>  (5) 
+6wa2
+
+>  <ligand_pdb>  (5) 
+TOV
+
+>  <alt>  (5) 
+A
+
+>  <chain>  (5) 
+A
+
+>  <atom.prop.subpocket>  (5) 
+B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 GA
+
+>  <atom.prop.environment>  (5) 
+16 16 16 16 16 16 16 16 16 16 3 3 na
+
 $$$$
 6hkm_chainA
      RDKit          3D
@@ -224,96 +350,222 @@ $$$$
   7  9  2  0
   7 14  1  0
  14 15  1  0
-  9 16  1  0
+ 16  9  1  0
 V   16 *
 M  END
->  <kinase>  (4) 
+>  <kinase>  (6) 
 Erk5
 
->  <family>  (4) 
+>  <family>  (6) 
 MAPK
 
->  <group>  (4) 
+>  <group>  (6) 
 CMGC
 
->  <complex_pdb>  (4) 
+>  <complex_pdb>  (6) 
 6hkm
 
->  <ligand_pdb>  (4) 
+>  <ligand_pdb>  (6) 
 G92
 
->  <alt>  (4) 
+>  <alt>  (6) 
  
 
->  <chain>  (4) 
+>  <chain>  (6) 
 A
 
->  <atom.prop.subpocket>  (4) 
+>  <atom.prop.subpocket>  (6) 
 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 GA
 
->  <atom.prop.environment>  (4) 
+>  <atom.prop.environment>  (6) 
 16 16 16 16 16 3 16 16 16 3 3 3 3 16 16 na
 
 $$$$
-5ime_chainA
+3u6h_altB_chainA
      RDKit          3D
 
- 14 14  0  0  0  0  0  0  0  0999 V2000
-    6.0364   23.6449   36.2426 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1145   24.1297   36.5280 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.8482   24.2364   35.3315 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.5649   25.1858   34.9017 H   0  0  0  0  0  0  0  0  0  0  0  0
-    7.5294   21.8618   36.4250 C   0  0  0  0  0  0  0  0  0  0  0  0
-    9.6490   21.8810   35.0303 C   0  0  0  0  0  0  0  0  0  0  0  0
-    9.7891   20.9340   35.5515 H   0  0  0  0  0  0  0  0  0  0  0  0
-   10.4755   22.5513   35.2662 H   0  0  0  0  0  0  0  0  0  0  0  0
-    9.6209   21.7034   33.9552 H   0  0  0  0  0  0  0  0  0  0  0  0
-    8.3513   22.5093   35.4699 C   0  0  0  0  0  0  0  0  0  0  0  0
-    7.8744   20.7900   36.8923 O   0  0  0  0  0  0  0  0  0  0  0  0
-    6.3671   22.4484   36.8030 N   0  0  0  0  0  0  0  0  0  0  0  0
-    7.9884   23.6623   34.9608 N   0  0  0  0  0  0  0  0  0  0  0  0
-    5.4951   21.8724   37.7460 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    5.0736   22.8183   33.5306 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9451   22.2937   34.0198 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6377   21.8703   35.3549 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5570   22.3767   33.3747 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6199   22.9495   32.4495 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8666   22.8684   34.0602 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1973   21.3713   33.1559 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2729   21.6519   35.2022 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.3405   21.4650   36.2852 O   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1508   23.5877   32.2322 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1553   23.6628   31.7947 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.8134   23.0676   31.5405 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5394   24.5877   32.4250 H   0  0  0  0  0  0  0  0  0  0  0  0
+    6.0427   22.5607   34.2736 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3162   20.9272   36.1579 *   0  0  0  0  0  0  0  0  0  0  0  0
+    7.2743   23.0296   34.0607 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  2  0
-  1 12  1  0
+  1 10  1  0
+  1 14  1  0
+  2  4  1  0
+  2  8  2  0
+  3  8  1  0
+  3  9  2  0
+  3 14  1  0
+  4  5  1  0
+  4  6  1  0
+  4  7  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 15  8  1  0
+ 16 14  1  0
+V   15 *
+V   16 *
+M  END
+>  <kinase>  (7) 
+MET
+
+>  <family>  (7) 
+Met
+
+>  <group>  (7) 
+TK
+
+>  <complex_pdb>  (7) 
+3u6h
+
+>  <ligand_pdb>  (7) 
+03X
+
+>  <alt>  (7) 
+B
+
+>  <chain>  (7) 
+A
+
+>  <atom.prop.subpocket>  (7) 
+B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 GA B2
+
+>  <atom.prop.environment>  (7) 
+9 14 16 8 8 8 8 16 16 8 8 8 8 9 na na
+
+$$$$
+7b34_chainA
+     RDKit          3D
+
+ 14 14  0  0  0  0  0  0  0  0999 V2000
+    6.8561   21.8612   36.8550 C   0  0  0  0  0  0  0  0  0  0  0  0
+    7.0055   23.2029   36.4934 C   0  0  0  0  0  0  0  0  0  0  0  0
+    7.8995   23.5425   35.5048 C   0  0  0  0  0  0  0  0  0  0  0  0
+    8.0134   24.5710   35.1954 H   0  0  0  0  0  0  0  0  0  0  0  0
+    8.6497   22.5421   34.9146 C   0  0  0  0  0  0  0  0  0  0  0  0
+    9.3576   22.7808   34.1347 H   0  0  0  0  0  0  0  0  0  0  0  0
+    8.4851   21.2225   35.3342 C   0  0  0  0  0  0  0  0  0  0  0  0
+    9.3341   20.1114   34.7911 C   0  0  0  0  0  0  0  0  0  0  0  0
+   10.0111   20.5081   34.0345 H   0  0  0  0  0  0  0  0  0  0  0  0
+    8.6943   19.3509   34.3435 H   0  0  0  0  0  0  0  0  0  0  0  0
+    9.9137   19.6680   35.6008 H   0  0  0  0  0  0  0  0  0  0  0  0
+    6.3201   24.1775   37.1285 F   0  0  0  0  0  0  0  0  0  0  0  0
+    7.5936   20.8906   36.2825 N   0  0  0  0  0  0  0  0  0  0  0  0
+    5.8694   21.4058   37.8568 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 13  1  0
+  2  3  1  0
+  2 12  1  0
   3  4  1  0
-  3 13  1  0
-  5 10  1  0
-  5 11  2  0
-  5 12  1  0
-  6  7  1  0
-  6  8  1  0
-  6  9  1  0
-  6 10  1  0
- 10 13  2  0
- 12 14  1  0
+  3  5  2  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7 13  2  0
+  8  9  1  0
+  8 10  1  0
+  8 11  1  0
+ 14  1  1  0
 V   14 *
 M  END
->  <kinase>  (5) 
-PAK1
+>  <kinase>  (8) 
+MST3
 
->  <family>  (5) 
+>  <family>  (8) 
 STE20
 
->  <group>  (5) 
+>  <group>  (8) 
 STE
 
->  <complex_pdb>  (5) 
-5ime
+>  <complex_pdb>  (8) 
+7b34
 
->  <ligand_pdb>  (5) 
-6BZ
+>  <ligand_pdb>  (8) 
+SQK
 
->  <alt>  (5) 
+>  <alt>  (8) 
  
 
->  <chain>  (5) 
+>  <chain>  (8) 
 A
 
->  <atom.prop.subpocket>  (5) 
+>  <atom.prop.subpocket>  (8) 
 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 GA
 
->  <atom.prop.environment>  (5) 
-9 9 9 9 9 8 8 8 8 9 9 9 9 na
+>  <atom.prop.environment>  (8) 
+14 14 14 14 14 14 14 8 8 8 8 14 14 na
+
+$$$$
+7mon_chainB
+     RDKit          3D
+
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    4.0159   21.7301   34.7898 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3253   22.3275   33.7770 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2538   22.4432   33.8460 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9936   22.7786   32.6760 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4475   23.2550   31.8752 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3772   22.6288   32.5776 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9000   22.9880   31.7035 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.4019   21.5761   34.6901 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.0671   22.0279   33.5876 N   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9986   21.0511   35.5759 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2892   21.2037   36.0456 *   0  0  0  0  0  0  0  0  0  0  0  0
+    7.3960   21.8826   33.5003 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6  9  1  0
+  8  9  1  0
+  8 10  2  0
+ 11  1  1  0
+ 12  9  1  0
+V   11 *
+V   12 *
+M  END
+>  <kinase>  (9) 
+RIPK3
+
+>  <family>  (9) 
+RIPK
+
+>  <group>  (9) 
+TKL
+
+>  <complex_pdb>  (9) 
+7mon
+
+>  <ligand_pdb>  (9) 
+ZL1
+
+>  <alt>  (9) 
+ 
+
+>  <chain>  (9) 
+B
+
+>  <atom.prop.subpocket>  (9) 
+B1 B1 B1 B1 B1 B1 B1 B1 B1 B1 GA B2
+
+>  <atom.prop.environment>  (9) 
+16 16 16 16 16 16 16 16 9 16 na na
 
 $$$$
diff --git a/data/fragment_library_custom_filtered/FP.sdf b/data/fragment_library_custom_filtered/FP.sdf
index dd0326a3..9a06b8f1 100644
--- a/data/fragment_library_custom_filtered/FP.sdf
+++ b/data/fragment_library_custom_filtered/FP.sdf
@@ -67,7 +67,7 @@ B
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
 >  <atom.prop.environment>  (1) 
-6 6 5 5 5 5 5 5 16 16 16 16 16 16 16 16 16 16 na
+1 1 5 5 5 5 5 5 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 3eqp_chainB
@@ -111,7 +111,7 @@ $$$$
  15 16  1  0
  15 17  2  0
  17 18  1  0
-  1 19  1  0
+ 19  1  1  0
 V   19 *
 M  END
 >  <kinase>  (2) 
@@ -214,7 +214,89 @@ A
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
 >  <atom.prop.environment>  (3) 
-3 3 3 3 3 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 na
+3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 8 4 4 na
+
+$$$$
+2xb7_chainA
+     RDKit          3D
+
+ 24 24  0  0  0  0  0  0  0  0999 V2000
+    2.2282   16.5936   41.9219 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6409   15.8415   40.8588 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9652   14.3959   41.0553 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2936   13.8005   40.2162 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8491   13.8255   42.2850 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0843   12.7801   42.4200 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4004   14.6384   43.4378 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3060   14.1879   44.4148 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1092   15.9474   43.2628 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7846   16.5360   44.1081 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7836   16.5759   39.2323 S   0  0  0  0  0  6  0  0  0  0  0  0
+    1.3435   16.1269   38.2277 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3248   16.7577   37.3389 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0372   16.3501   39.0146 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0399   15.7255   39.9079 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8143   16.0843   38.3881 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0380   17.3982   39.3042 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4510   14.6443   37.8252 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4687   14.0248   38.7219 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3680   14.4876   37.2571 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5924   14.3711   37.2118 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0076   16.0344   38.5121 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8581   18.0858   39.3088 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9263   17.9745   41.6972 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  9  1  0
+  2  3  1  0
+  2 11  1  0
+  3  4  1  0
+  3  5  2  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+ 11 12  1  0
+ 11 22  2  0
+ 11 23  2  0
+ 12 13  1  0
+ 12 14  1  0
+ 12 18  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18 19  1  0
+ 18 20  1  0
+ 18 21  1  0
+ 24  1  1  0
+V   24 *
+M  END
+>  <kinase>  (4) 
+ALK
+
+>  <family>  (4) 
+ALK
+
+>  <group>  (4) 
+TK
+
+>  <complex_pdb>  (4) 
+2xb7
+
+>  <ligand_pdb>  (4) 
+GUI
+
+>  <alt>  (4) 
+ 
+
+>  <chain>  (4) 
+A
+
+>  <atom.prop.subpocket>  (4) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (4) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 5fto_altA_chainA
@@ -250,36 +332,112 @@ $$$$
  11 12  1  0
  11 13  2  0
  13 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
->  <kinase>  (4) 
+>  <kinase>  (5) 
 ALK
 
->  <family>  (4) 
+>  <family>  (5) 
 ALK
 
->  <group>  (4) 
+>  <group>  (5) 
 TK
 
->  <complex_pdb>  (4) 
+>  <complex_pdb>  (5) 
 5fto
 
->  <ligand_pdb>  (4) 
+>  <ligand_pdb>  (5) 
 YMX
 
->  <alt>  (4) 
+>  <alt>  (5) 
 A
 
->  <chain>  (4) 
+>  <chain>  (5) 
 A
 
->  <atom.prop.subpocket>  (4) 
+>  <atom.prop.subpocket>  (5) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (4) 
+>  <atom.prop.environment>  (5) 
 8 8 8 16 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+6mx8_altA_chainA
+     RDKit          3D
+
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+    1.7171   15.4028   37.5620 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1630   14.4687   37.6546 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7830   15.2058   37.6768 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5319   15.8394   36.5806 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5229   16.4984   41.6044 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3340   15.7766   40.4315 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2684   14.3978   40.4887 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1182   13.8369   39.5780 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3908   13.7244   41.6831 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3367   12.6461   41.7075 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5825   14.4349   42.8455 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6819   13.9185   43.7888 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6467   15.8107   42.7970 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7972   16.3644   43.7120 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1717   16.5625   38.8547 P   0  0  0  0  0  5  0  0  0  0  0  0
+   -0.5806   16.7117   38.4347 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0630   15.7398   38.5381 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6794   17.0589   37.4062 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0556   17.4265   39.1067 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9301   17.8637   38.7412 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6001   17.9100   41.6097 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1 15  1  0
+  5  6  2  0
+  5 13  1  0
+  6  7  1  0
+  6 15  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 15 16  1  0
+ 15 20  2  0
+ 16 17  1  0
+ 16 18  1  0
+ 16 19  1  0
+ 21  5  1  0
+V   21 *
+M  END
+>  <kinase>  (6) 
+ALK
+
+>  <family>  (6) 
+ALK
+
+>  <group>  (6) 
+TK
+
+>  <complex_pdb>  (6) 
+6mx8
+
+>  <ligand_pdb>  (6) 
+6GY
+
+>  <alt>  (6) 
+A
+
+>  <chain>  (6) 
+A
+
+>  <atom.prop.subpocket>  (6) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (6) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
 $$$$
 3my0_chainA
      RDKit          3D
@@ -322,33 +480,98 @@ $$$$
  14 17  1  0
 V   17 *
 M  END
->  <kinase>  (5) 
+>  <kinase>  (7) 
 ALK1
 
->  <family>  (5) 
+>  <family>  (7) 
 STKR
 
->  <group>  (5) 
+>  <group>  (7) 
 TKL
 
->  <complex_pdb>  (5) 
+>  <complex_pdb>  (7) 
 3my0
 
->  <ligand_pdb>  (5) 
+>  <ligand_pdb>  (7) 
 LDN
 
->  <alt>  (5) 
+>  <alt>  (7) 
  
 
->  <chain>  (5) 
+>  <chain>  (7) 
 A
 
->  <atom.prop.subpocket>  (5) 
+>  <atom.prop.subpocket>  (7) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (5) 
+>  <atom.prop.environment>  (7) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+6jux_altB_chainA
+     RDKit          3D
+
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    1.4555   13.5132   39.4360 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1496   12.5672   38.9892 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6994   13.3567   40.4868 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3318   13.8956   38.9127 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3244   14.5133   39.3240 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5426   14.1026   39.8414 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0899   14.6415   38.2673 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6151   15.8671   39.9043 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0263   16.4331   41.0207 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7265   15.9670   41.6391 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5474   17.6637   41.2101 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4800   17.8644   40.1990 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5482   16.7479   39.4056 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3457   18.9232   39.8887 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0626   18.5588   42.3130 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  5  7  1  0
+  5  8  1  0
+  8  9  1  0
+  8 13  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 12 13  2  0
+ 12 14  1  0
+ 11 15  1  0
+V   14 *
+V   15 *
+M  END
+>  <kinase>  (8) 
+ALK2
+
+>  <family>  (8) 
+STKR
+
+>  <group>  (8) 
+TKL
+
+>  <complex_pdb>  (8) 
+6jux
+
+>  <ligand_pdb>  (8) 
+C9U
+
+>  <alt>  (8) 
+B
+
+>  <chain>  (8) 
+A
+
+>  <atom.prop.subpocket>  (8) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP GA AP
+
+>  <atom.prop.environment>  (8) 
+8 8 8 8 8 8 8 9 9 9 16 14 9 na na
+
 $$$$
 2np8_chainA
      RDKit          3D
@@ -383,94 +606,36 @@ $$$$
  11 12  1  0
  11 13  2  0
  13 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
->  <kinase>  (6) 
+>  <kinase>  (9) 
 AurA
 
->  <family>  (6) 
+>  <family>  (9) 
 Aur
 
->  <group>  (6) 
+>  <group>  (9) 
 Other
 
->  <complex_pdb>  (6) 
+>  <complex_pdb>  (9) 
 2np8
 
->  <ligand_pdb>  (6) 
+>  <ligand_pdb>  (9) 
 CC3
 
->  <alt>  (6) 
+>  <alt>  (9) 
  
 
->  <chain>  (6) 
+>  <chain>  (9) 
 A
 
->  <atom.prop.subpocket>  (6) 
+>  <atom.prop.subpocket>  (9) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (6) 
+>  <atom.prop.environment>  (9) 
 16 16 16 16 8 8 8 8 16 16 16 16 16 16 na
 
-$$$$
-3uoh_chainB
-     RDKit          3D
-
- 12 12  0  0  0  0  0  0  0  0999 V2000
-    0.0322   16.8148   38.2902 Br  0  0  0  0  0  0  0  0  0  0  0  0
-    1.2025   16.0846   40.8500 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5296   15.1891   41.8511 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0587   15.5293   42.7291 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1766   13.8498   41.7264 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4302   13.1543   42.5128 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5008   13.3981   40.5997 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2326   12.3556   40.5113 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1724   14.2853   39.5922 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3540   13.9442   38.7130 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5266   15.6162   39.7244 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5575   17.4750   40.9617 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1 11  1  0
-  2  3  2  0
-  2 11  1  0
-  3  4  1  0
-  3  5  1  0
-  5  6  1  0
-  5  7  2  0
-  7  8  1  0
-  7  9  1  0
-  9 10  1  0
-  9 11  2  0
-  2 12  1  0
-V   12 *
-M  END
->  <kinase>  (7) 
-AurA
-
->  <family>  (7) 
-Aur
-
->  <group>  (7) 
-Other
-
->  <complex_pdb>  (7) 
-3uoh
-
->  <ligand_pdb>  (7) 
-0C4
-
->  <alt>  (7) 
- 
-
->  <chain>  (7) 
-B
-
->  <atom.prop.subpocket>  (7) 
-FP FP FP FP FP FP FP FP FP FP FP AP
-
->  <atom.prop.environment>  (7) 
-16 16 16 16 16 16 16 16 16 16 16 na
-
 $$$$
 3up2_chainA
      RDKit          3D
@@ -507,34 +672,34 @@ $$$$
  11 13  1  0
  11 14  1  0
  11 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   16 *
 M  END
->  <kinase>  (8) 
+>  <kinase>  (10) 
 AurA
 
->  <family>  (8) 
+>  <family>  (10) 
 Aur
 
->  <group>  (8) 
+>  <group>  (10) 
 Other
 
->  <complex_pdb>  (8) 
+>  <complex_pdb>  (10) 
 3up2
 
->  <ligand_pdb>  (8) 
+>  <ligand_pdb>  (10) 
 0C8
 
->  <alt>  (8) 
+>  <alt>  (10) 
  
 
->  <chain>  (8) 
+>  <chain>  (10) 
 A
 
->  <atom.prop.subpocket>  (8) 
+>  <atom.prop.subpocket>  (10) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (8) 
+>  <atom.prop.environment>  (10) 
 16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 na
 
 $$$$
@@ -553,7 +718,7 @@ $$$$
     1.3377   13.2443   39.9434 H   0  0  0  0  0  0  0  0  0  0  0  0
     1.4131   15.2071   40.9008 C   0  0  0  0  0  0  0  0  0  0  0  0
     1.6029   15.8798   39.6997 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6776   16.4111   39.4561 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6776   16.4111   39.4561 O   0  0  0  0  0  1  0  0  0  0  0  0
     0.6020   15.9351   38.7856 O   0  0  0  0  0  0  0  0  0  0  0  0
     1.4613   17.2264   42.2136 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
@@ -569,35 +734,35 @@ $$$$
  10 11  1  0
  11 12  1  0
  11 13  2  0
-  1 14  1  0
+ 14  1  1  0
 M  CHG  1  12  -1
 V   14 *
 M  END
->  <kinase>  (9) 
+>  <kinase>  (11) 
 AurA
 
->  <family>  (9) 
+>  <family>  (11) 
 Aur
 
->  <group>  (9) 
+>  <group>  (11) 
 Other
 
->  <complex_pdb>  (9) 
+>  <complex_pdb>  (11) 
 3up7
 
->  <ligand_pdb>  (9) 
+>  <ligand_pdb>  (11) 
 0C9
 
->  <alt>  (9) 
+>  <alt>  (11) 
  
 
->  <chain>  (9) 
+>  <chain>  (11) 
 A
 
->  <atom.prop.subpocket>  (9) 
+>  <atom.prop.subpocket>  (11) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (9) 
+>  <atom.prop.environment>  (11) 
 16 16 16 16 16 16 16 16 16 16 6 6 6 na
 
 $$$$
@@ -636,35 +801,35 @@ $$$$
  11 13  2  0
  13 14  1  0
  14 15  2  0
-  4 16  1  0
+ 16  4  1  0
 V   16 *
 M  END
->  <kinase>  (10) 
+>  <kinase>  (12) 
 AurA
 
->  <family>  (10) 
+>  <family>  (12) 
 Aur
 
->  <group>  (10) 
+>  <group>  (12) 
 Other
 
->  <complex_pdb>  (10) 
+>  <complex_pdb>  (12) 
 4ded
 
->  <ligand_pdb>  (10) 
+>  <ligand_pdb>  (12) 
 NHU
 
->  <alt>  (10) 
+>  <alt>  (12) 
  
 
->  <chain>  (10) 
+>  <chain>  (12) 
 A
 
->  <atom.prop.subpocket>  (10) 
+>  <atom.prop.subpocket>  (12) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (10) 
-5 5 5 16 16 16 16 16 16 16 16 16 16 6 6 na
+>  <atom.prop.environment>  (12) 
+5 5 5 16 16 16 16 16 16 16 16 16 16 1 1 na
 
 $$$$
 4j8m_chainA
@@ -710,31 +875,31 @@ $$$$
 V   17 *
 V   18 *
 M  END
->  <kinase>  (11) 
+>  <kinase>  (13) 
 AurA
 
->  <family>  (11) 
+>  <family>  (13) 
 Aur
 
->  <group>  (11) 
+>  <group>  (13) 
 Other
 
->  <complex_pdb>  (11) 
+>  <complex_pdb>  (13) 
 4j8m
 
->  <ligand_pdb>  (11) 
+>  <ligand_pdb>  (13) 
 CJ5
 
->  <alt>  (11) 
+>  <alt>  (13) 
  
 
->  <chain>  (11) 
+>  <chain>  (13) 
 A
 
->  <atom.prop.subpocket>  (11) 
+>  <atom.prop.subpocket>  (13) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP GA SE
 
->  <atom.prop.environment>  (11) 
+>  <atom.prop.environment>  (13) 
 1 1 5 5 5 5 16 16 16 16 16 16 16 16 16 16 na na
 
 $$$$
@@ -786,35 +951,111 @@ $$$$
  17 18  1  0
  19 20  2  0
  20 21  1  0
-  1 22  1  0
+ 22  1  1  0
 V   22 *
 M  END
->  <kinase>  (12) 
+>  <kinase>  (14) 
 AurA
 
->  <family>  (12) 
+>  <family>  (14) 
 Aur
 
->  <group>  (12) 
+>  <group>  (14) 
 Other
 
->  <complex_pdb>  (12) 
+>  <complex_pdb>  (14) 
 5aad
 
->  <ligand_pdb>  (12) 
+>  <ligand_pdb>  (14) 
 5GX
 
->  <alt>  (12) 
+>  <alt>  (14) 
  
 
->  <chain>  (12) 
+>  <chain>  (14) 
 A
 
->  <atom.prop.subpocket>  (12) 
+>  <atom.prop.subpocket>  (14) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (12) 
-16 16 16 16 8 8 8 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (14) 
+16 9 9 9 8 8 8 16 16 16 16 16 16 16 16 16 16 16 9 9 9 na
+
+$$$$
+7k7l_altB_chainA
+     RDKit          3D
+
+ 20 21  0  0  0  0  0  0  0  0999 V2000
+    0.5891   17.0107   42.6975 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0147   17.1262   43.6048 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8847   15.7531   42.2283 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5415   14.8839   42.7697 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7525   17.9723   40.8596 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0949   18.8419   40.3183 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0227   18.1211   42.0147 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0444   16.7116   40.3964 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6142   15.5952   41.0747 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5757   14.2022   39.5489 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7945   13.2051   39.1963 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8202   16.5470   39.1690 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8048   14.9716   37.6111 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4505   14.0371   37.1760 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6517   15.7842   36.9008 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8904   14.3037   40.6349 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0508   15.2461   38.8027 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2000   17.5422   38.5688 O   0  0  0  0  0  0  0  0  0  0  0  0
+    5.2594   14.8494   37.8984 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7093   19.4287   42.5149 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  7  1  0
+  3  4  1  0
+  3  9  1  0
+  5  6  1  0
+  5  7  2  0
+  5  8  1  0
+  8  9  2  0
+  8 12  1  0
+  9 16  1  0
+ 10 11  1  0
+ 10 16  2  0
+ 10 17  1  0
+ 12 17  1  0
+ 12 18  2  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 17  1  0
+ 19 13  1  0
+  7 20  1  0
+V   19 *
+V   20 *
+M  END
+>  <kinase>  (15) 
+BARK1
+
+>  <family>  (15) 
+GRK
+
+>  <group>  (15) 
+AGC
+
+>  <complex_pdb>  (15) 
+7k7l
+
+>  <ligand_pdb>  (15) 
+W4D
+
+>  <alt>  (15) 
+B
+
+>  <chain>  (15) 
+A
+
+>  <atom.prop.subpocket>  (15) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP X-B2 AP
+
+>  <atom.prop.environment>  (15) 
+9 9 9 9 9 9 16 9 9 9 9 9 8 8 8 9 9 9 na na
 
 $$$$
 2fb8_chainA
@@ -864,31 +1105,31 @@ V   17 *
 V   18 *
 V   19 *
 M  END
->  <kinase>  (13) 
+>  <kinase>  (16) 
 BRAF
 
->  <family>  (13) 
+>  <family>  (16) 
 RAF
 
->  <group>  (13) 
+>  <group>  (16) 
 TKL
 
->  <complex_pdb>  (13) 
+>  <complex_pdb>  (16) 
 2fb8
 
->  <ligand_pdb>  (13) 
+>  <ligand_pdb>  (16) 
 215
 
->  <alt>  (13) 
+>  <alt>  (16) 
  
 
->  <chain>  (13) 
+>  <chain>  (16) 
 A
 
->  <atom.prop.subpocket>  (13) 
+>  <atom.prop.subpocket>  (16) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP X-FP GA AP
 
->  <atom.prop.environment>  (13) 
+>  <atom.prop.environment>  (16) 
 14 14 16 16 16 14 14 14 14 16 16 16 16 16 16 16 na na na
 
 $$$$
@@ -927,36 +1168,111 @@ $$$$
  10 13  1  0
  13 14  1  0
   6 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   15 *
 V   16 *
 M  END
->  <kinase>  (14) 
+>  <kinase>  (17) 
 BRAF
 
->  <family>  (14) 
+>  <family>  (17) 
 RAF
 
->  <group>  (14) 
+>  <group>  (17) 
 TKL
 
->  <complex_pdb>  (14) 
+>  <complex_pdb>  (17) 
 4mnf
 
->  <ligand_pdb>  (14) 
+>  <ligand_pdb>  (17) 
 29L
 
->  <alt>  (14) 
+>  <alt>  (17) 
 A
 
->  <chain>  (14) 
+>  <chain>  (17) 
 A
 
->  <atom.prop.subpocket>  (14) 
+>  <atom.prop.subpocket>  (17) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP GA
 
->  <atom.prop.environment>  (14) 
-16 16 16 16 16 16 8 8 8 8 8 8 3 3 na na
+>  <atom.prop.environment>  (17) 
+16 9 9 9 9 14 8 4 4 4 4 4 3 3 na na
+
+$$$$
+4xv2_chainA
+     RDKit          3D
+
+ 20 20  0  0  0  0  0  0  0  0999 V2000
+    1.5748   18.1050   41.0534 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2634   16.4287   41.3118 S   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1950   15.9951   39.9339 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7149   17.0262   39.3053 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3707   18.2144   39.9196 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3886   14.5392   39.5081 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8540   14.1127   39.7119 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.5091   14.7897   39.1635 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9912   13.0962   39.3431 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0991   14.1503   40.7733 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0502   14.3939   38.0088 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6921   15.0543   37.4258 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0068   14.6628   37.8441 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2129   13.3618   37.6980 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4559   13.5879   40.2796 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6643   13.6613   41.3469 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6245   12.5640   39.9460 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4185   13.8649   40.0920 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9764   19.0746   41.9804 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8959   19.4293   39.3230 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  5  2  0
+  2  3  1  0
+  3  4  2  0
+  3  6  1  0
+  4  5  1  0
+  6  7  1  0
+  6 11  1  0
+  6 15  1  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 19  1  1  0
+  5 20  1  0
+V   19 *
+V   20 *
+M  END
+>  <kinase>  (18) 
+BRAF
+
+>  <family>  (18) 
+RAF
+
+>  <group>  (18) 
+TKL
+
+>  <complex_pdb>  (18) 
+4xv2
+
+>  <ligand_pdb>  (18) 
+P06
+
+>  <alt>  (18) 
+ 
+
+>  <chain>  (18) 
+A
+
+>  <atom.prop.subpocket>  (18) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP GA
+
+>  <atom.prop.environment>  (18) 
+14 14 14 14 14 8 8 8 8 8 8 8 8 8 8 8 8 8 na na
 
 $$$$
 4ot5_chainA
@@ -1019,32 +1335,32 @@ $$$$
 V   25 *
 V   26 *
 M  END
->  <kinase>  (15) 
+>  <kinase>  (19) 
 BTK
 
->  <family>  (15) 
+>  <family>  (19) 
 Tec
 
->  <group>  (15) 
+>  <group>  (19) 
 TK
 
->  <complex_pdb>  (15) 
+>  <complex_pdb>  (19) 
 4ot5
 
->  <ligand_pdb>  (15) 
+>  <ligand_pdb>  (19) 
 481
 
->  <alt>  (15) 
+>  <alt>  (19) 
  
 
->  <chain>  (15) 
+>  <chain>  (19) 
 A
 
->  <atom.prop.subpocket>  (15) 
+>  <atom.prop.subpocket>  (19) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP X-B2 AP
 
->  <atom.prop.environment>  (15) 
-6 6 16 16 16 16 16 16 16 16 16 16 5 5 16 16 16 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (19) 
+1 1 16 16 16 16 16 16 16 16 16 16 5 5 16 16 16 16 16 16 16 16 16 16 na na
 
 $$$$
 6f7b_altB_chainA
@@ -1082,43 +1398,101 @@ $$$$
 V   13 *
 V   14 *
 M  END
->  <kinase>  (16) 
+>  <kinase>  (20) 
 BUB1
 
->  <family>  (16) 
+>  <family>  (20) 
 BUB
 
->  <group>  (16) 
+>  <group>  (20) 
 Other
 
->  <complex_pdb>  (16) 
+>  <complex_pdb>  (20) 
 6f7b
 
->  <ligand_pdb>  (16) 
+>  <ligand_pdb>  (20) 
 CVQ
 
->  <alt>  (16) 
+>  <alt>  (20) 
 B
 
->  <chain>  (16) 
+>  <chain>  (20) 
 A
 
->  <atom.prop.subpocket>  (16) 
+>  <atom.prop.subpocket>  (20) 
 FP FP FP FP FP FP FP FP FP FP FP FP AP GA
 
->  <atom.prop.environment>  (16) 
-14 14 14 14 14 3 3 3 3 3 14 14 na na
+>  <atom.prop.environment>  (20) 
+14 14 16 16 16 3 3 3 3 3 16 16 na na
 
 $$$$
-1h07_altB_chainA
+7oai_altB_chainA
      RDKit          3D
 
- 15 15  0  0  0  0  0  0  0  0999 V2000
-    1.0324   13.4980   39.4471 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2042   14.4580   38.8332 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5827   14.1378   38.1663 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3938   15.8382   39.0826 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4273   16.3090   39.9574 C   0  0  0  0  0  0  0  0  0  0  0  0
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+   -0.3645   19.0083   38.2467 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9165   19.5052   39.4063 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    2.2469   19.3191   38.9890 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9331   18.5318   37.8899 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7177   18.0429   37.3315 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6157   18.3762   37.5138 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3567   17.7690   36.6590 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0294   18.7743   37.8150 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    1.2692   19.9718   39.7369 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0603   19.7966   39.3429 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8532   20.2783   39.8958 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6461   20.9137   40.8623 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  6  2  0
+  1  8  1  0
+  1 10  1  0
+  2  3  1  0
+  3  4  2  0
+  3  9  1  0
+  4  5  1  0
+  4  6  1  0
+  6  7  1  0
+  9 10  2  0
+ 10 11  1  0
+  9 12  1  0
+V   12 *
+M  END
+>  <kinase>  (21) 
+CASK
+
+>  <family>  (21) 
+CASK
+
+>  <group>  (21) 
+CAMK
+
+>  <complex_pdb>  (21) 
+7oai
+
+>  <ligand_pdb>  (21) 
+V5W
+
+>  <alt>  (21) 
+B
+
+>  <chain>  (21) 
+A
+
+>  <atom.prop.subpocket>  (21) 
+FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (21) 
+16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+1h07_altB_chainA
+     RDKit          3D
+
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    1.0324   13.4980   39.4471 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2042   14.4580   38.8332 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5827   14.1378   38.1663 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3938   15.8382   39.0826 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4273   16.3090   39.9574 C   0  0  0  0  0  0  0  0  0  0  0  0
     2.0678   13.9308   40.3254 C   0  0  0  0  0  0  0  0  0  0  0  0
     2.7081   13.2026   40.8009 H   0  0  0  0  0  0  0  0  0  0  0  0
     2.2640   15.3271   40.5812 C   0  0  0  0  0  0  0  0  0  0  0  0
@@ -1146,31 +1520,31 @@ $$$$
   5 15  1  0
 V   15 *
 M  END
->  <kinase>  (17) 
+>  <kinase>  (22) 
 CDK2
 
->  <family>  (17) 
+>  <family>  (22) 
 CDK
 
->  <group>  (17) 
+>  <group>  (22) 
 CMGC
 
->  <complex_pdb>  (17) 
+>  <complex_pdb>  (22) 
 1h07
 
->  <ligand_pdb>  (17) 
+>  <ligand_pdb>  (22) 
 MFQ
 
->  <alt>  (17) 
+>  <alt>  (22) 
 B
 
->  <chain>  (17) 
+>  <chain>  (22) 
 A
 
->  <atom.prop.subpocket>  (17) 
+>  <atom.prop.subpocket>  (22) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (17) 
+>  <atom.prop.environment>  (22) 
 16 16 16 16 16 16 16 16 16 8 8 8 8 16 na
 
 $$$$
@@ -1214,34 +1588,34 @@ $$$$
  14 15  1  0
  14 16  2  0
  16 17  1  0
-  1 18  1  0
+ 18  1  1  0
 V   18 *
 M  END
->  <kinase>  (18) 
+>  <kinase>  (23) 
 CDK2
 
->  <family>  (18) 
+>  <family>  (23) 
 CDK
 
->  <group>  (18) 
+>  <group>  (23) 
 CMGC
 
->  <complex_pdb>  (18) 
+>  <complex_pdb>  (23) 
 1oiq
 
->  <ligand_pdb>  (18) 
+>  <ligand_pdb>  (23) 
 HDU
 
->  <alt>  (18) 
+>  <alt>  (23) 
  
 
->  <chain>  (18) 
+>  <chain>  (23) 
 A
 
->  <atom.prop.subpocket>  (18) 
+>  <atom.prop.subpocket>  (23) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (18) 
+>  <atom.prop.environment>  (23) 
 14 14 14 14 14 8 8 8 8 14 14 14 14 14 14 14 14 na
 
 $$$$
@@ -1279,34 +1653,34 @@ $$$$
  11 12  2  0
  12 13  1  0
  12 14  1  0
- 11 15  1  0
+ 15 11  1  0
 V   15 *
 M  END
->  <kinase>  (19) 
+>  <kinase>  (24) 
 CDK2
 
->  <family>  (19) 
+>  <family>  (24) 
 CDK
 
->  <group>  (19) 
+>  <group>  (24) 
 CMGC
 
->  <complex_pdb>  (19) 
+>  <complex_pdb>  (24) 
 1oit
 
->  <ligand_pdb>  (19) 
+>  <ligand_pdb>  (24) 
 HDT
 
->  <alt>  (19) 
+>  <alt>  (24) 
  
 
->  <chain>  (19) 
+>  <chain>  (24) 
 A
 
->  <atom.prop.subpocket>  (19) 
+>  <atom.prop.subpocket>  (24) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (19) 
+>  <atom.prop.environment>  (24) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
@@ -1344,33 +1718,99 @@ $$$$
  13 14  1  0
 V   14 *
 M  END
->  <kinase>  (20) 
+>  <kinase>  (25) 
 CDK2
 
->  <family>  (20) 
+>  <family>  (25) 
 CDK
 
->  <group>  (20) 
+>  <group>  (25) 
 CMGC
 
->  <complex_pdb>  (20) 
+>  <complex_pdb>  (25) 
 1pxj
 
->  <ligand_pdb>  (20) 
+>  <ligand_pdb>  (25) 
 CK2
 
->  <alt>  (20) 
+>  <alt>  (25) 
 A
 
->  <chain>  (20) 
+>  <chain>  (25) 
 A
 
->  <atom.prop.subpocket>  (20) 
+>  <atom.prop.subpocket>  (25) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (20) 
+>  <atom.prop.environment>  (25) 
 8 8 8 8 14 14 14 14 8 8 8 8 14 na
 
+$$$$
+1pxn_altA_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    1.9649   18.4153   38.8715 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5539   18.0981   38.0109 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6289   18.8090   39.6411 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2632   19.1912   38.5654 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2060   17.2420   39.4181 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3988   16.0721   38.7719 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7805   15.0142   39.1975 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9424   13.8441   38.5940 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5641   13.8270   37.7983 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3122   12.5741   38.9627 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3301   12.7256   39.8303 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0833   11.8427   39.2048 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2854   12.2090   38.1275 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3417   17.0954   40.4631 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2126   15.3876   40.5903 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2078   18.0080   41.5017 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  5 14  2  0
+  6  7  2  0
+  7  8  1  0
+  7 15  1  0
+  8  9  1  0
+  8 10  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 14 15  1  0
+ 14 16  1  0
+V   16 *
+M  END
+>  <kinase>  (26) 
+CDK2
+
+>  <family>  (26) 
+CDK
+
+>  <group>  (26) 
+CMGC
+
+>  <complex_pdb>  (26) 
+1pxn
+
+>  <ligand_pdb>  (26) 
+CK6
+
+>  <alt>  (26) 
+A
+
+>  <chain>  (26) 
+A
+
+>  <atom.prop.subpocket>  (26) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (26) 
+8 8 8 8 14 14 14 5 5 5 5 5 5 14 14 na
+
 $$$$
 1pxo_altA_chainA
      RDKit          3D
@@ -1404,31 +1844,31 @@ $$$$
  12 13  1  0
 V   13 *
 M  END
->  <kinase>  (21) 
+>  <kinase>  (27) 
 CDK2
 
->  <family>  (21) 
+>  <family>  (27) 
 CDK
 
->  <group>  (21) 
+>  <group>  (27) 
 CMGC
 
->  <complex_pdb>  (21) 
+>  <complex_pdb>  (27) 
 1pxo
 
->  <ligand_pdb>  (21) 
+>  <ligand_pdb>  (27) 
 CK7
 
->  <alt>  (21) 
+>  <alt>  (27) 
 A
 
->  <chain>  (21) 
+>  <chain>  (27) 
 A
 
->  <atom.prop.subpocket>  (21) 
+>  <atom.prop.subpocket>  (27) 
 FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (21) 
+>  <atom.prop.environment>  (27) 
 5 5 5 14 14 14 8 8 8 8 14 14 na
 
 $$$$
@@ -1467,31 +1907,31 @@ $$$$
   5 14  1  0
 V   14 *
 M  END
->  <kinase>  (22) 
+>  <kinase>  (28) 
 CDK2
 
->  <family>  (22) 
+>  <family>  (28) 
 CDK
 
->  <group>  (22) 
+>  <group>  (28) 
 CMGC
 
->  <complex_pdb>  (22) 
+>  <complex_pdb>  (28) 
 1urw
 
->  <ligand_pdb>  (22) 
+>  <ligand_pdb>  (28) 
 I1P
 
->  <alt>  (22) 
+>  <alt>  (28) 
 A
 
->  <chain>  (22) 
+>  <chain>  (28) 
 A
 
->  <atom.prop.subpocket>  (22) 
+>  <atom.prop.subpocket>  (28) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (22) 
+>  <atom.prop.environment>  (28) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
@@ -1522,158 +1962,235 @@ $$$$
   7  8  1  0
   7  9  2  0
   9 11  1  0
-  1 12  1  0
+ 12  1  1  0
 V   12 *
 M  END
->  <kinase>  (23) 
+>  <kinase>  (29) 
 CDK2
 
->  <family>  (23) 
+>  <family>  (29) 
 CDK
 
->  <group>  (23) 
+>  <group>  (29) 
 CMGC
 
->  <complex_pdb>  (23) 
+>  <complex_pdb>  (29) 
 1ykr
 
->  <ligand_pdb>  (23) 
+>  <ligand_pdb>  (29) 
 628
 
->  <alt>  (23) 
+>  <alt>  (29) 
  
 
->  <chain>  (23) 
+>  <chain>  (29) 
 A
 
->  <atom.prop.subpocket>  (23) 
+>  <atom.prop.subpocket>  (29) 
 FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (23) 
+>  <atom.prop.environment>  (29) 
 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-2iw6_chainA
+2c5y_altB_chainA
      RDKit          3D
 
- 15 15  0  0  0  0  0  0  0  0999 V2000
-    1.7089   14.5811   39.1031 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6878   13.5409   38.8132 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5425   15.0035   40.1329 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5994   16.3531   40.5085 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2651   16.6607   41.3014 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8011   17.3042   39.8649 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9020   15.5069   38.4481 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2451   15.1926   37.6506 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9527   16.8419   38.8338 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1254   17.9192   37.9316 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    3.4036   14.0022   40.8432 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2303   13.0113   40.4234 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1540   13.9961   41.9042 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.4524   14.2714   40.7182 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8760   18.6248   40.2707 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 21 22  0  0  0  0  0  0  0  0999 V2000
+    0.7205   13.0397   39.5154 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2776   12.8882   39.8991 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8067   12.3229   39.7909 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8227   12.8863   39.1328 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8521   12.5597   39.1474 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3365   13.9232   38.4560 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1234   13.9835   38.6666 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2387   15.0264   38.1203 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7880   14.8432   38.4374 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2892   15.0206   37.0315 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7137   16.3816   38.6553 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2240   16.9966   39.8035 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5639   16.5233   40.3705 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7599   16.9877   37.9756 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1976   16.4866   37.1249 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2568   18.2236   38.3643 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0444   18.6961   37.7961 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7344   18.8486   39.4889 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0980   19.8206   39.7880 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7421   18.2174   40.2265 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2321   18.9016   41.3262 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  2  0
   1  7  1  0
   3  4  1  0
-  3 11  1  0
   4  5  1  0
   4  6  2  0
-  6  9  1  0
+  6  7  1  0
   7  8  1  0
-  7  9  2  0
-  9 10  1  0
- 11 12  1  0
- 11 13  1  0
+  8  9  1  0
+  8 10  1  0
+  8 11  1  0
+ 11 12  2  0
  11 14  1  0
-  6 15  1  0
-V   15 *
-M  END
->  <kinase>  (24) 
-CDK2
+ 12 13  1  0
+ 12 20  1  0
+ 14 15  1  0
+ 14 16  2  0
+ 16 17  1  0
+ 16 18  1  0
+ 18 19  1  0
+ 18 20  2  0
+ 20 21  1  0
+V   21 *
+M  END
+>  <kinase>  (30) 
+CDK2
 
->  <family>  (24) 
+>  <family>  (30) 
 CDK
 
->  <group>  (24) 
+>  <group>  (30) 
 CMGC
 
->  <complex_pdb>  (24) 
-2iw6
+>  <complex_pdb>  (30) 
+2c5y
 
->  <ligand_pdb>  (24) 
-QQ2
+>  <ligand_pdb>  (30) 
+MTW
 
->  <alt>  (24) 
- 
+>  <alt>  (30) 
+B
 
->  <chain>  (24) 
+>  <chain>  (30) 
 A
 
->  <atom.prop.subpocket>  (24) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+>  <atom.prop.subpocket>  (30) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (24) 
-16 16 16 16 16 16 16 16 16 16 8 8 8 8 na
+>  <atom.prop.environment>  (30) 
+9 9 9 9 9 9 9 8 8 8 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-2r3f_altA_chainA
+2c68_chainA
      RDKit          3D
 
  12 12  0  0  0  0  0  0  0  0999 V2000
-    0.2505   14.9278   40.0836 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0021   15.0559   38.7109 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3769   15.9903   38.3201 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2250   13.9943   37.8520 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0519   14.1093   36.7921 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6752   12.7833   38.3546 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8240   11.9440   37.6914 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9356   12.6509   39.7189 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7303   13.7118   40.5906 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0511   13.5186   42.2233 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    1.5337   11.1735   40.2917 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    0.0431   16.1308   40.9268 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  9  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  1  0
-  4  6  2  0
+    1.7767   11.1663   40.7771 Br  0  0  0  0  0  0  0  0  0  0  0  0
+    1.0638   12.6917   39.8989 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7939   13.8442   40.6297 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9754   13.8607   41.6942 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2824   14.9954   39.9840 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0533   14.9802   38.5927 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3481   15.8533   38.0997 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3497   13.8227   37.8492 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1947   13.8119   36.7804 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8498   12.6764   38.5023 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0695   11.7850   37.9334 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0037   16.2198   40.7815 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  2  3  2  0
+  2 10  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  2  0
   6  7  1  0
   6  8  1  0
-  8  9  2  0
-  8 11  1  0
-  9 10  1  0
-  1 12  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+  5 12  1  0
 V   12 *
 M  END
->  <kinase>  (25) 
+>  <kinase>  (31) 
 CDK2
 
->  <family>  (25) 
+>  <family>  (31) 
 CDK
 
->  <group>  (25) 
+>  <group>  (31) 
 CMGC
 
->  <complex_pdb>  (25) 
-2r3f
+>  <complex_pdb>  (31) 
+2c68
 
->  <ligand_pdb>  (25) 
-SC8
+>  <ligand_pdb>  (31) 
+CT6
 
->  <alt>  (25) 
-A
+>  <alt>  (31) 
+ 
 
->  <chain>  (25) 
+>  <chain>  (31) 
 A
 
->  <atom.prop.subpocket>  (25) 
+>  <atom.prop.subpocket>  (31) 
 FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (25) 
+>  <atom.prop.environment>  (31) 
 16 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+2iw6_chainA
+     RDKit          3D
+
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    1.7089   14.5811   39.1031 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6878   13.5409   38.8132 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5425   15.0035   40.1329 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5994   16.3531   40.5085 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2651   16.6607   41.3014 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8011   17.3042   39.8649 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9020   15.5069   38.4481 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2451   15.1926   37.6506 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9527   16.8419   38.8338 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1254   17.9192   37.9316 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    3.4036   14.0022   40.8432 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2303   13.0113   40.4234 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1540   13.9961   41.9042 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4524   14.2714   40.7182 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8760   18.6248   40.2707 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  7  1  0
+  3  4  1  0
+  3 11  1  0
+  4  5  1  0
+  4  6  2  0
+  6  9  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+  6 15  1  0
+V   15 *
+M  END
+>  <kinase>  (32) 
+CDK2
+
+>  <family>  (32) 
+CDK
+
+>  <group>  (32) 
+CMGC
+
+>  <complex_pdb>  (32) 
+2iw6
+
+>  <ligand_pdb>  (32) 
+QQ2
+
+>  <alt>  (32) 
+ 
+
+>  <chain>  (32) 
+A
+
+>  <atom.prop.subpocket>  (32) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (32) 
+16 16 16 16 16 16 16 16 16 16 8 8 8 8 na
+
 $$$$
 2r3g_altB_chainA
      RDKit          3D
@@ -1710,35 +2227,35 @@ $$$$
  11 13  1  0
  13 14  2  0
  14 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   16 *
 M  END
->  <kinase>  (26) 
+>  <kinase>  (33) 
 CDK2
 
->  <family>  (26) 
+>  <family>  (33) 
 CDK
 
->  <group>  (26) 
+>  <group>  (33) 
 CMGC
 
->  <complex_pdb>  (26) 
+>  <complex_pdb>  (33) 
 2r3g
 
->  <ligand_pdb>  (26) 
+>  <ligand_pdb>  (33) 
 SC9
 
->  <alt>  (26) 
+>  <alt>  (33) 
 B
 
->  <chain>  (26) 
+>  <chain>  (33) 
 A
 
->  <atom.prop.subpocket>  (26) 
+>  <atom.prop.subpocket>  (33) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (26) 
-5 5 8 8 8 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (33) 
+5 5 4 4 4 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 3bhv_altB_chainA
@@ -1768,101 +2285,98 @@ $$$$
   7  9  1  0
   9 10  1  0
   9 11  1  0
-  1 12  1  0
+ 12  1  1  0
 V   12 *
 M  END
->  <kinase>  (27) 
+>  <kinase>  (34) 
 CDK2
 
->  <family>  (27) 
+>  <family>  (34) 
 CDK
 
->  <group>  (27) 
+>  <group>  (34) 
 CMGC
 
->  <complex_pdb>  (27) 
+>  <complex_pdb>  (34) 
 3bhv
 
->  <ligand_pdb>  (27) 
+>  <ligand_pdb>  (34) 
 VAR
 
->  <alt>  (27) 
+>  <alt>  (34) 
 B
 
->  <chain>  (27) 
+>  <chain>  (34) 
 A
 
->  <atom.prop.subpocket>  (27) 
+>  <atom.prop.subpocket>  (34) 
 FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (27) 
+>  <atom.prop.environment>  (34) 
 14 14 14 14 14 14 14 14 5 5 5 na
 
 $$$$
-3qts_altA_chainA
+3ej1_chainC
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    0.7437   13.7234   38.7686 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8319   12.7315   38.3506 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1526   13.9708   40.1808 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0290   15.3111   40.7333 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3250   15.4979   41.7550 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1006   16.1528   38.5064 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2856   16.9578   37.8987 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2172   14.8290   37.9349 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0764   14.6486   36.9113 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6658   12.9486   41.0286 O   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8475   11.6642   40.6925 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2533   11.1194   41.5449 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5444   11.6024   39.8566 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8925   11.2259   40.4024 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4978   16.4287   39.9026 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3593   17.8230   40.4419 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  2  0
-  1  8  1  0
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    3.1499   19.6252   38.2859 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9983   18.2176   39.6353 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5404   16.9259   39.9574 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9346   16.7769   40.8390 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8496   15.8804   39.1800 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5143   14.8773   39.3985 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6849   16.1988   37.9983 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9471   15.3727   37.3539 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6118   20.3081   39.3022 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7228   21.3741   39.4354 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8802   19.4765   40.1837 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1340   17.3677   37.6578 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7698   18.3526   38.5099 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1293   19.8182   41.3634 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  9  2  0
+  1 13  1  0
+  2  3  1  0
+  2 11  2  0
+  2 13  1  0
   3  4  1  0
-  3 10  1  0
-  4  5  1  0
-  4 15  2  0
-  6  7  1  0
-  6  8  2  0
-  6 15  1  0
-  8  9  1  0
- 10 11  1  0
- 11 12  1  0
- 11 13  1  0
- 11 14  1  0
- 15 16  1  0
-V   16 *
+  3  5  2  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7 12  2  0
+  9 10  1  0
+  9 11  1  0
+ 12 13  1  0
+ 14 11  1  0
+V   14 *
 M  END
->  <kinase>  (28) 
+>  <kinase>  (35) 
 CDK2
 
->  <family>  (28) 
+>  <family>  (35) 
 CDK
 
->  <group>  (28) 
+>  <group>  (35) 
 CMGC
 
->  <complex_pdb>  (28) 
-3qts
+>  <complex_pdb>  (35) 
+3ej1
 
->  <ligand_pdb>  (28) 
-X46
+>  <ligand_pdb>  (35) 
+5BP
 
->  <alt>  (28) 
-A
+>  <alt>  (35) 
+ 
 
->  <chain>  (28) 
-A
+>  <chain>  (35) 
+C
 
->  <atom.prop.subpocket>  (28) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+>  <atom.prop.subpocket>  (35) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (28) 
-16 16 16 16 16 16 16 16 16 3 3 3 3 3 16 na
+>  <atom.prop.environment>  (35) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 3r8u_altB_chainA
@@ -1905,34 +2419,34 @@ $$$$
  14 15  1  0
  14 16  2  0
  16 17  1  0
-  1 18  1  0
+ 18  1  1  0
 V   18 *
 M  END
->  <kinase>  (29) 
+>  <kinase>  (36) 
 CDK2
 
->  <family>  (29) 
+>  <family>  (36) 
 CDK
 
->  <group>  (29) 
+>  <group>  (36) 
 CMGC
 
->  <complex_pdb>  (29) 
+>  <complex_pdb>  (36) 
 3r8u
 
->  <ligand_pdb>  (29) 
+>  <ligand_pdb>  (36) 
 Z31
 
->  <alt>  (29) 
+>  <alt>  (36) 
 B
 
->  <chain>  (29) 
+>  <chain>  (36) 
 A
 
->  <atom.prop.subpocket>  (29) 
+>  <atom.prop.subpocket>  (36) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (29) 
+>  <atom.prop.environment>  (36) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -1965,34 +2479,34 @@ $$$$
   8 10  1  0
  10 11  2  0
  11 12  1  0
-  1 13  1  0
+ 13  1  1  0
 V   13 *
 M  END
->  <kinase>  (30) 
+>  <kinase>  (37) 
 CDK2
 
->  <family>  (30) 
+>  <family>  (37) 
 CDK
 
->  <group>  (30) 
+>  <group>  (37) 
 CMGC
 
->  <complex_pdb>  (30) 
+>  <complex_pdb>  (37) 
 4acm
 
->  <ligand_pdb>  (30) 
+>  <ligand_pdb>  (37) 
 7YG
 
->  <alt>  (30) 
+>  <alt>  (37) 
 B
 
->  <chain>  (30) 
+>  <chain>  (37) 
 A
 
->  <atom.prop.subpocket>  (30) 
+>  <atom.prop.subpocket>  (37) 
 FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (30) 
+>  <atom.prop.environment>  (37) 
 5 5 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -2030,34 +2544,34 @@ $$$$
  11 12  1  0
  11 13  1  0
  12 14  1  0
- 14 15  1  0
+ 15 14  1  0
 V   15 *
 M  END
->  <kinase>  (31) 
+>  <kinase>  (38) 
 CDK2
 
->  <family>  (31) 
+>  <family>  (38) 
 CDK
 
->  <group>  (31) 
+>  <group>  (38) 
 CMGC
 
->  <complex_pdb>  (31) 
+>  <complex_pdb>  (38) 
 4bzd
 
->  <ligand_pdb>  (31) 
+>  <ligand_pdb>  (38) 
 D6I
 
->  <alt>  (31) 
+>  <alt>  (38) 
 A
 
->  <chain>  (31) 
+>  <chain>  (38) 
 A
 
->  <atom.prop.subpocket>  (31) 
+>  <atom.prop.subpocket>  (38) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (31) 
+>  <atom.prop.environment>  (38) 
 9 9 9 9 9 9 9 9 9 9 9 9 9 9 na
 
 $$$$
@@ -2101,32 +2615,112 @@ $$$$
   4 17  1  0
 V   17 *
 M  END
->  <kinase>  (32) 
+>  <kinase>  (39) 
 CDK2
 
->  <family>  (32) 
+>  <family>  (39) 
 CDK
 
->  <group>  (32) 
+>  <group>  (39) 
 CMGC
 
->  <complex_pdb>  (32) 
+>  <complex_pdb>  (39) 
 4fkv
 
->  <ligand_pdb>  (32) 
+>  <ligand_pdb>  (39) 
 61K
 
->  <alt>  (32) 
+>  <alt>  (39) 
 B
 
->  <chain>  (32) 
+>  <chain>  (39) 
 A
 
->  <atom.prop.subpocket>  (32) 
+>  <atom.prop.subpocket>  (39) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (32) 
-14 14 14 5 5 14 14 14 14 8 8 8 8 8 8 14 na
+>  <atom.prop.environment>  (39) 
+14 14 14 5 5 14 14 14 14 4 4 4 8 4 4 14 na
+
+$$$$
+4lyn_chainA
+     RDKit          3D
+
+ 23 23  0  0  0  0  0  0  0  0999 V2000
+    1.7516   15.6798   38.7661 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0378   16.0576   38.4078 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8297   15.3793   38.1262 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1039   14.3063   38.9412 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1676   13.2101   38.9659 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7314   13.2297   38.0333 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6859   12.2388   39.0788 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8445   13.3794   39.8033 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1473   14.0355   37.7812 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6977   14.0690   36.8409 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6356   14.7938   37.7712 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3028   13.0503   37.9038 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3281   14.2584   40.2574 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0080   14.4513   41.0872 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1221   13.2730   40.3782 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4549   15.0166   40.2455 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1506   17.4194   38.4652 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9503   17.8488   38.8443 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0495   16.8379   39.0297 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5636   19.2360   39.1648 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4826   19.3088   39.2845 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8878   19.9111   38.3729 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3907   19.6439   40.7094 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  4  1  0
+  1 19  1  0
+  2  3  1  0
+  2 17  1  0
+  4  5  1  0
+  4  9  1  0
+  4 13  1  0
+  5  6  1  0
+  5  7  1  0
+  5  8  1  0
+  9 10  1  0
+  9 11  1  0
+  9 12  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 16  1  0
+ 17 18  2  0
+ 18 19  1  0
+ 18 20  1  0
+ 20 21  1  0
+ 20 22  1  0
+ 20 23  1  0
+V   23 *
+M  END
+>  <kinase>  (40) 
+CDK2
+
+>  <family>  (40) 
+CDK
+
+>  <group>  (40) 
+CMGC
+
+>  <complex_pdb>  (40) 
+4lyn
+
+>  <ligand_pdb>  (40) 
+1YG
+
+>  <alt>  (40) 
+ 
+
+>  <chain>  (40) 
+A
+
+>  <atom.prop.subpocket>  (40) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (40) 
+14 14 14 8 8 8 8 8 8 8 8 8 8 8 8 8 14 14 14 4 4 4 na
 
 $$$$
 5anj_chainA
@@ -2158,35 +2752,35 @@ $$$$
   9 10  1  0
   9 11  2  0
  11 12  1  0
-  1 13  1  0
+ 13  1  1  0
 V   13 *
 M  END
->  <kinase>  (33) 
+>  <kinase>  (41) 
 CDK2
 
->  <family>  (33) 
+>  <family>  (41) 
 CDK
 
->  <group>  (33) 
+>  <group>  (41) 
 CMGC
 
->  <complex_pdb>  (33) 
+>  <complex_pdb>  (41) 
 5anj
 
->  <ligand_pdb>  (33) 
+>  <ligand_pdb>  (41) 
 ZXC
 
->  <alt>  (33) 
+>  <alt>  (41) 
  
 
->  <chain>  (33) 
+>  <chain>  (41) 
 A
 
->  <atom.prop.subpocket>  (33) 
+>  <atom.prop.subpocket>  (41) 
 FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (33) 
-5 5 6 14 6 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (41) 
+5 5 1 14 1 14 14 14 14 14 14 14 na
 
 $$$$
 6q4g_altA_chainA
@@ -2207,7 +2801,7 @@ $$$$
     0.1214   15.3104   39.9110 C   0  0  0  0  0  0  0  0  0  0  0  0
    -0.2422   16.1515   39.3395 H   0  0  0  0  0  0  0  0  0  0  0  0
     0.2560   15.4457   41.2905 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5757   12.7646   35.8244 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5757   12.7646   35.8244 O   0  0  0  0  0  1  0  0  0  0  0  0
     2.2374   12.9210   37.2152 O   0  0  0  0  0  0  0  0  0  0  0  0
    -0.0588   16.7382   41.9367 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
@@ -2230,33 +2824,157 @@ $$$$
 M  CHG  1  15  -1
 V   17 *
 M  END
->  <kinase>  (34) 
+>  <kinase>  (42) 
 CDK2
 
->  <family>  (34) 
+>  <family>  (42) 
 CDK
 
->  <group>  (34) 
+>  <group>  (42) 
 CMGC
 
->  <complex_pdb>  (34) 
+>  <complex_pdb>  (42) 
 6q4g
 
->  <ligand_pdb>  (34) 
+>  <ligand_pdb>  (42) 
 HJK
 
->  <alt>  (34) 
+>  <alt>  (42) 
 A
 
->  <chain>  (34) 
+>  <chain>  (42) 
 A
 
->  <atom.prop.subpocket>  (34) 
+>  <atom.prop.subpocket>  (42) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (34) 
+>  <atom.prop.environment>  (42) 
 16 16 16 16 16 16 16 8 8 8 8 16 16 16 8 8 na
 
+$$$$
+7b7s_altA_chainA
+     RDKit          3D
+
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    5.5778   14.7292   36.9909 F   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6535   14.6176   37.9394 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9531   15.4295   38.9479 F   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6158   13.3636   38.3759 F   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2483   15.0094   37.3504 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9079   14.4577   36.2133 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7261   14.8814   35.8527 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2345   14.6138   35.0120 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2913   15.7020   36.7544 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3300   16.1942   36.7483 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2104   15.8346   37.6729 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8548   16.6514   38.6750 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  2  3  1  0
+  2  4  1  0
+  2  5  1  0
+  5  6  2  0
+  5 11  1  0
+  6  7  1  0
+  7  8  1  0
+  7  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+V   12 *
+M  END
+>  <kinase>  (43) 
+CDK2
+
+>  <family>  (43) 
+CDK
+
+>  <group>  (43) 
+CMGC
+
+>  <complex_pdb>  (43) 
+7b7s
+
+>  <ligand_pdb>  (43) 
+T1T
+
+>  <alt>  (43) 
+A
+
+>  <chain>  (43) 
+A
+
+>  <atom.prop.subpocket>  (43) 
+FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (43) 
+8 8 8 8 14 14 14 14 14 14 16 na
+
+$$$$
+7mkx_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    1.4653   16.5425   40.4715 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5420   16.8485   37.9608 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3574   13.7590   40.1352 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3133   12.6881   40.0028 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4768   15.9745   39.1748 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4209   14.5986   39.0503 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3514   14.3148   41.3984 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3013   13.6685   42.2622 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4085   15.6853   41.5774 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4093   16.0967   42.5760 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4268   14.0425   37.8166 F   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7312   16.5541   36.9540 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7539   17.1069   36.1090 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0908   15.7770   37.0320 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3427   17.7965   37.9011 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5257   17.9527   40.6601 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  5  2  0
+  1  9  1  0
+  2  5  1  0
+  2 12  1  0
+  2 15  2  0
+  3  4  1  0
+  3  6  2  0
+  3  7  1  0
+  5  6  1  0
+  6 11  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+ 12 13  1  0
+ 12 14  1  0
+  1 16  1  0
+V   16 *
+M  END
+>  <kinase>  (44) 
+CDK2
+
+>  <family>  (44) 
+CDK
+
+>  <group>  (44) 
+CMGC
+
+>  <complex_pdb>  (44) 
+7mkx
+
+>  <ligand_pdb>  (44) 
+ZGY
+
+>  <alt>  (44) 
+ 
+
+>  <chain>  (44) 
+A
+
+>  <atom.prop.subpocket>  (44) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (44) 
+16 1 16 16 16 16 16 16 16 16 16 5 5 5 1 na
+
 $$$$
 4ez5_chainA
      RDKit          3D
@@ -2296,34 +3014,34 @@ $$$$
  11 13  2  0
  13 14  1  0
  13 15  1  0
-  1 17  1  0
+ 17  1  1  0
 V   17 *
 M  END
->  <kinase>  (35) 
+>  <kinase>  (45) 
 CDK6
 
->  <family>  (35) 
+>  <family>  (45) 
 CDK
 
->  <group>  (35) 
+>  <group>  (45) 
 CMGC
 
->  <complex_pdb>  (35) 
+>  <complex_pdb>  (45) 
 4ez5
 
->  <ligand_pdb>  (35) 
+>  <ligand_pdb>  (45) 
 0RS
 
->  <alt>  (35) 
+>  <alt>  (45) 
  
 
->  <chain>  (35) 
+>  <chain>  (45) 
 A
 
->  <atom.prop.subpocket>  (35) 
+>  <atom.prop.subpocket>  (45) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (35) 
+>  <atom.prop.environment>  (45) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -2373,32 +3091,111 @@ $$$$
   1 20  1  0
 V   20 *
 M  END
->  <kinase>  (36) 
+>  <kinase>  (46) 
 CDK8
 
->  <family>  (36) 
+>  <family>  (46) 
 CDK
 
->  <group>  (36) 
+>  <group>  (46) 
 CMGC
 
->  <complex_pdb>  (36) 
+>  <complex_pdb>  (46) 
 4f7s
 
->  <ligand_pdb>  (36) 
+>  <ligand_pdb>  (46) 
 0SW
 
->  <alt>  (36) 
+>  <alt>  (46) 
 A
 
->  <chain>  (36) 
+>  <chain>  (46) 
 A
 
->  <atom.prop.subpocket>  (36) 
+>  <atom.prop.subpocket>  (46) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (36) 
-5 5 8 8 8 8 8 8 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (46) 
+5 5 4 4 4 8 4 4 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+5bnj_chainA
+     RDKit          3D
+
+ 22 23  0  0  0  0  0  0  0  0999 V2000
+    1.2467    9.4097   44.1809 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1171    9.6840   44.7769 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5553    8.7513   43.3688 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5225    8.8940   44.8114 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0610   11.8860   43.8037 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9179   12.1877   44.3877 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2242   12.7212   43.1224 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7465   11.9075   42.5049 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5597   12.2552   41.8850 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3157   14.2100   43.0481 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9369   14.9472   44.0725 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3581   14.4308   44.9224 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1555   16.2687   41.8870 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5811   16.7865   41.0401 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2327   14.8930   41.9552 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7173   14.3410   41.1635 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6351   10.6198   43.6233 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4971   10.6618   42.8087 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0140   16.3301   44.0026 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4938   16.8869   44.7940 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4688   17.0004   42.9044 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5245   18.4771   42.7806 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1 17  1  0
+  5  6  1  0
+  5  7  2  0
+  5 17  1  0
+  7  8  1  0
+  7 10  1  0
+  8  9  1  0
+  8 18  2  0
+ 10 11  2  0
+ 10 15  1  0
+ 11 12  1  0
+ 11 19  1  0
+ 13 14  1  0
+ 13 15  2  0
+ 13 21  1  0
+ 15 16  1  0
+ 17 18  1  0
+ 19 20  1  0
+ 19 21  2  0
+ 21 22  1  0
+V   22 *
+M  END
+>  <kinase>  (47) 
+CDK8
+
+>  <family>  (47) 
+CDK
+
+>  <group>  (47) 
+CMGC
+
+>  <complex_pdb>  (47) 
+5bnj
+
+>  <ligand_pdb>  (47) 
+4TV
+
+>  <alt>  (47) 
+ 
+
+>  <chain>  (47) 
+A
+
+>  <atom.prop.subpocket>  (47) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (47) 
+8 8 8 8 9 9 16 9 9 16 16 16 16 16 16 16 9 9 16 16 16 na
 
 $$$$
 5fgk_altB_chainA
@@ -2442,32 +3239,32 @@ $$$$
   5 17  1  0
 V   17 *
 M  END
->  <kinase>  (37) 
+>  <kinase>  (48) 
 CDK8
 
->  <family>  (37) 
+>  <family>  (48) 
 CDK
 
->  <group>  (37) 
+>  <group>  (48) 
 CMGC
 
->  <complex_pdb>  (37) 
+>  <complex_pdb>  (48) 
 5fgk
 
->  <ligand_pdb>  (37) 
+>  <ligand_pdb>  (48) 
 5XG
 
->  <alt>  (37) 
+>  <alt>  (48) 
 B
 
->  <chain>  (37) 
+>  <chain>  (48) 
 A
 
->  <atom.prop.subpocket>  (37) 
+>  <atom.prop.subpocket>  (48) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (37) 
-16 16 16 16 16 16 16 5 5 5 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (48) 
+14 14 14 14 16 14 14 5 5 5 14 14 14 14 14 14 na
 
 $$$$
 5hbj_altB_chainA
@@ -2513,114 +3310,174 @@ $$$$
  10 18  1  0
 V   18 *
 M  END
->  <kinase>  (38) 
+>  <kinase>  (49) 
 CDK8
 
->  <family>  (38) 
+>  <family>  (49) 
 CDK
 
->  <group>  (38) 
+>  <group>  (49) 
 CMGC
 
->  <complex_pdb>  (38) 
+>  <complex_pdb>  (49) 
 5hbj
 
->  <ligand_pdb>  (38) 
+>  <ligand_pdb>  (49) 
 5Y8
 
->  <alt>  (38) 
+>  <alt>  (49) 
 B
 
->  <chain>  (38) 
+>  <chain>  (49) 
 A
 
->  <atom.prop.subpocket>  (38) 
+>  <atom.prop.subpocket>  (49) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (38) 
-8 8 8 8 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (49) 
+8 8 8 8 9 9 9 9 9 16 9 9 9 9 9 9 9 na
 
 $$$$
-4bcf_chainA
+6qtg_chainA
      RDKit          3D
 
- 24 24  0  0  0  0  0  0  0  0999 V2000
-   -0.3716   13.3587   42.2238 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2990   12.1236   42.9479 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5130   12.3229   43.9979 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7103   11.7233   42.8524 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2619   11.1056   42.4526 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.2037   11.2234   42.9886 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8546   10.1135   42.6474 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5225   11.2393   40.9873 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1390   12.1260   40.8398 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0744   10.3557   40.6668 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3639   11.3646   40.1384 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3246   10.3828   39.0216 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7838   10.3164   37.9816 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5264   11.0859   38.1925 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3620   10.4805   36.9900 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2571    9.3352   38.0173 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2308    9.5572   38.8907 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7381   12.3212   40.2358 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8685   12.7540   39.2440 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6278   11.7511   40.5032 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6492   13.4788   41.2115 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6121   13.5694   41.7141 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4509   14.3856   40.6400 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9880   14.2958   43.1838 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -1.0172   14.9999   41.3755 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7097   14.5990   40.6502 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6627   14.6795   43.0578 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2813   14.0261   43.6551 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3651   12.6547   41.9795 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1203   11.9627   41.0104 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7013   12.4469   40.2394 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0138   16.9257   42.4510 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9134   16.3705   41.5382 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5400   17.0229   40.9482 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2366   14.1307   42.1386 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7691   16.0540   43.2110 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4683   16.4564   43.9291 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1756   11.6564   42.7568 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8088   11.7872   43.6219 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2339   10.4882   42.2353 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0339   10.6556   41.1558 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1057    9.1541   42.7014 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1058   18.4038   42.5943 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1 21  1  0
-  2  3  1  0
-  2  4  1  0
-  2  5  1  0
+  1  9  2  0
+  1 11  1  0
+  3  4  1  0
+  3 11  2  0
+  3 12  1  0
   5  6  1  0
-  5  7  1  0
-  5  8  1  0
+  5 11  1  0
+  5 14  2  0
+  6  7  1  0
+  6 17  2  0
   8  9  1  0
-  8 10  1  0
-  8 11  1  0
- 11 12  1  0
- 11 18  1  0
+  8 12  2  0
+  9 10  1  0
  12 13  1  0
- 12 17  2  0
- 13 14  1  0
- 13 15  1  0
- 13 16  1  0
- 18 19  1  0
- 18 20  1  0
- 18 21  1  0
- 21 22  1  0
- 21 23  1  0
-  1 24  1  0
-V   24 *
+ 14 15  1  0
+ 14 16  1  0
+ 16 17  1  0
+ 18 16  1  0
+  8 19  1  0
+V   18 *
+V   19 *
 M  END
->  <kinase>  (39) 
-CDK9
+>  <kinase>  (50) 
+CDK8
 
->  <family>  (39) 
+>  <family>  (50) 
 CDK
 
->  <group>  (39) 
+>  <group>  (50) 
 CMGC
 
->  <complex_pdb>  (39) 
-4bcf
+>  <complex_pdb>  (50) 
+6qtg
 
->  <ligand_pdb>  (39) 
-T6Q
+>  <ligand_pdb>  (50) 
+JH8
 
->  <alt>  (39) 
+>  <alt>  (50) 
  
 
->  <chain>  (39) 
+>  <chain>  (50) 
 A
 
->  <atom.prop.subpocket>  (39) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP SE
+>  <atom.prop.subpocket>  (50) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP X-FP AP
 
->  <atom.prop.environment>  (39) 
-5 5 5 5 5 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 na
+>  <atom.prop.environment>  (50) 
+16 16 16 16 16 9 9 16 16 16 16 16 16 9 9 9 9 na na
+
+$$$$
+6t41_chainA
+     RDKit          3D
+
+ 17 17  0  0  0  0  0  0  0  0999 V2000
+   -1.4460   12.8513   41.2102 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4625   12.3936   42.0655 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3955   11.3445   42.3133 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4316   13.2970   42.5974 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2079   12.9499   43.2632 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3471   14.6486   42.2883 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6497   15.1023   41.4431 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7232   16.1535   41.2063 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5563   14.1998   40.8999 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3401   14.5447   40.2418 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3481   15.6224   42.9265 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3124   15.1206   43.0056 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9893   15.8792   43.9232 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5321   16.8492   42.1778 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0246   16.8236   41.2964 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5848   11.6928   40.5050 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    1.0228   18.1093   42.6711 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  9  1  0
+  1 16  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6 11  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 14 15  1  0
+ 17 14  1  0
+V   17 *
+M  END
+>  <kinase>  (51) 
+CDK8
+
+>  <family>  (51) 
+CDK
+
+>  <group>  (51) 
+CMGC
+
+>  <complex_pdb>  (51) 
+6t41
+
+>  <ligand_pdb>  (51) 
+MFE
+
+>  <alt>  (51) 
+ 
+
+>  <chain>  (51) 
+A
+
+>  <atom.prop.subpocket>  (51) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (51) 
+16 16 16 16 16 16 16 16 16 16 4 4 4 5 5 16 na
 
 $$$$
 2x8i_altB_chainA
@@ -2652,34 +3509,34 @@ $$$$
   7 10  1  0
  10 11  1  0
  11 12  1  0
-  9 13  1  0
+ 13  9  1  0
 V   13 *
 M  END
->  <kinase>  (40) 
+>  <kinase>  (52) 
 CHK1
 
->  <family>  (40) 
+>  <family>  (52) 
 CAMKL
 
->  <group>  (40) 
+>  <group>  (52) 
 CAMK
 
->  <complex_pdb>  (40) 
+>  <complex_pdb>  (52) 
 2x8i
 
->  <ligand_pdb>  (40) 
+>  <ligand_pdb>  (52) 
 X8I
 
->  <alt>  (40) 
+>  <alt>  (52) 
 B
 
->  <chain>  (40) 
+>  <chain>  (52) 
 A
 
->  <atom.prop.subpocket>  (40) 
+>  <atom.prop.subpocket>  (52) 
 FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (40) 
+>  <atom.prop.environment>  (52) 
 16 16 16 16 16 16 16 16 16 16 3 3 na
 
 $$$$
@@ -2718,35 +3575,35 @@ $$$$
   9 12  1  0
  12 13  1  0
  14 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   16 *
 M  END
->  <kinase>  (41) 
+>  <kinase>  (53) 
 CHK1
 
->  <family>  (41) 
+>  <family>  (53) 
 CAMKL
 
->  <group>  (41) 
+>  <group>  (53) 
 CAMK
 
->  <complex_pdb>  (41) 
+>  <complex_pdb>  (53) 
 2ym5
 
->  <ligand_pdb>  (41) 
+>  <ligand_pdb>  (53) 
 YM5
 
->  <alt>  (41) 
+>  <alt>  (53) 
  
 
->  <chain>  (41) 
+>  <chain>  (53) 
 A
 
->  <atom.prop.subpocket>  (41) 
+>  <atom.prop.subpocket>  (53) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (41) 
-16 16 16 16 16 16 16 16 8 8 8 3 3 16 16 na
+>  <atom.prop.environment>  (53) 
+16 16 16 16 16 16 16 16 4 4 4 3 3 16 16 na
 
 $$$$
 4ftu_altA_chainA
@@ -2778,49 +3635,438 @@ $$$$
   9 10  1  0
   9 11  2  0
  11 12  1  0
-  1 13  1  0
+ 13  1  1  0
 V   13 *
 M  END
->  <kinase>  (42) 
+>  <kinase>  (54) 
 CHK1
 
->  <family>  (42) 
+>  <family>  (54) 
 CAMKL
 
->  <group>  (42) 
+>  <group>  (54) 
 CAMK
 
->  <complex_pdb>  (42) 
+>  <complex_pdb>  (54) 
 4ftu
 
->  <ligand_pdb>  (42) 
+>  <ligand_pdb>  (54) 
 7HK
 
->  <alt>  (42) 
+>  <alt>  (54) 
 A
 
->  <chain>  (42) 
+>  <chain>  (54) 
 A
 
->  <atom.prop.subpocket>  (42) 
+>  <atom.prop.subpocket>  (54) 
 FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (42) 
+>  <atom.prop.environment>  (54) 
 5 5 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-6qy9_altB_chainA
+5opr_chainA
      RDKit          3D
 
- 19 19  0  0  0  0  0  0  0  0999 V2000
-    1.8247   16.1511   41.8454 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.5829   16.4806   42.8451 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7793   17.0423   40.7755 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1810   14.8499   41.6079 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2076   14.1440   42.4248 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5072   14.4332   40.3295 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7943   13.4053   40.1644 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4725   15.3076   39.2597 C   0  0  0  0  0  0  0  0  0  0  0  0
+ 17 17  0  0  0  0  0  0  0  0999 V2000
+    1.7642   14.7194   38.9408 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4809   14.4847   39.7278 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8409   13.9771   38.1463 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7552   14.7074   39.3529 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7973   17.2179   39.3668 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0710   16.1270   38.3649 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1093   16.2060   38.0425 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5952   19.1341   40.2660 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9891   16.2799   37.2988 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0070   16.1788   37.7607 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1150   15.5075   36.5400 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0729   17.2625   36.8344 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0481   18.5011   39.1953 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1637   17.0439   40.5238 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7648   16.1148   40.9034 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1124   18.2669   41.1440 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4499   18.5231   42.4402 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  6  1  0
+  5  6  1  0
+  5 13  1  0
+  5 14  1  0
+  6  7  1  0
+  6  9  1  0
+  8 13  2  0
+  8 16  1  0
+  9 10  1  0
+  9 11  1  0
+  9 12  1  0
+ 14 15  1  0
+ 14 16  2  0
+ 16 17  1  0
+V   17 *
+M  END
+>  <kinase>  (55) 
+CHK1
+
+>  <family>  (55) 
+CAMKL
+
+>  <group>  (55) 
+CAMK
+
+>  <complex_pdb>  (55) 
+5opr
+
+>  <ligand_pdb>  (55) 
+A3E
+
+>  <alt>  (55) 
+ 
+
+>  <chain>  (55) 
+A
+
+>  <atom.prop.subpocket>  (55) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (55) 
+8 8 8 8 9 8 8 9 8 8 8 8 9 9 9 14 na
+
+$$$$
+7bjm_chainA
+     RDKit          3D
+
+ 17 17  0  0  0  0  0  0  0  0999 V2000
+    1.5141   15.5410   41.1974 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1541   14.6478   41.5020 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4855   15.6005   40.1346 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3319   14.9670   40.3998 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8227   16.6315   40.0278 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9346   15.1388   38.8223 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0516   14.0621   38.7880 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7419   13.5825   39.7048 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5745   13.6121   37.5697 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1120   12.7793   37.5314 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9760   14.2271   36.4095 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5993   13.8736   35.4611 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8521   15.2880   36.4395 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1662   15.7593   35.5199 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3241   15.7432   37.6445 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2012   16.7762   37.6823 F   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0776   16.6958   41.7963 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  3  4  1  0
+  3  5  1  0
+  3  6  1  0
+  6  7  2  0
+  6 15  1  0
+  7  8  1  0
+  7  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 11 13  1  0
+ 13 14  1  0
+ 13 15  2  0
+ 15 16  1  0
+ 17  1  1  0
+V   17 *
+M  END
+>  <kinase>  (56) 
+CHK1
+
+>  <family>  (56) 
+CAMKL
+
+>  <group>  (56) 
+CAMK
+
+>  <complex_pdb>  (56) 
+7bjm
+
+>  <ligand_pdb>  (56) 
+TW2
+
+>  <alt>  (56) 
+ 
+
+>  <chain>  (56) 
+A
+
+>  <atom.prop.subpocket>  (56) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (56) 
+5 5 4 4 4 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+5mqv_altB_chainC
+     RDKit          3D
+
+ 13 13  0  0  0  0  0  0  0  0999 V2000
+    1.7371   18.1617   41.0459 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7874   18.5133   40.2428 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9944   17.5285   39.3963 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0942   16.5684   39.6481 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3264   16.9711   40.6717 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5653   16.4499   41.0831 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9358   14.9860   38.7747 S   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0947   13.6609   40.0086 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0040   12.6928   39.5158 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3076   13.7636   40.7555 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0679   13.7315   40.4943 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0874   18.9449   42.1925 *   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6232   19.7888   40.2660 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  5  1  0
+  2  3  1  0
+  3  4  2  0
+  4  5  1  0
+  4  7  1  0
+  5  6  1  0
+  7  8  1  0
+  8  9  1  0
+  8 10  1  0
+  8 11  1  0
+ 12  1  1  0
+  2 13  1  0
+V   12 *
+V   13 *
+M  END
+>  <kinase>  (57) 
+CK1d
+
+>  <family>  (57) 
+CK1
+
+>  <group>  (57) 
+CK1
+
+>  <complex_pdb>  (57) 
+5mqv
+
+>  <ligand_pdb>  (57) 
+D5Q
+
+>  <alt>  (57) 
+B
+
+>  <chain>  (57) 
+C
+
+>  <atom.prop.subpocket>  (57) 
+FP FP FP FP FP FP FP FP FP FP FP AP GA
+
+>  <atom.prop.environment>  (57) 
+14 14 14 14 14 14 11 11 11 11 11 na na
+
+$$$$
+5cqw_altA_chainA
+     RDKit          3D
+
+ 14 14  0  0  0  0  0  0  0  0999 V2000
+   -1.5653    9.0445   42.4604 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0714   10.1548   41.8097 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5113   10.1693   40.8864 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4641   11.3290   42.6340 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1650   12.8541   42.3683 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0550   13.4098   42.6638 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0063   12.9658   41.2957 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0164   13.4886   43.0428 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8836   12.9402   42.7649 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1715   13.4108   44.1189 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1787   10.7562   43.7332 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2190    9.4751   43.6064 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4339    7.6957   42.0423 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2009   14.9507   42.7040 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1 12  1  0
+  2  3  1  0
+  2  4  2  0
+  4  5  1  0
+  4 11  1  0
+  5  6  1  0
+  5  7  1  0
+  5  8  1  0
+  8  9  1  0
+  8 10  1  0
+ 11 12  2  0
+ 13  1  1  0
+  8 14  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (58) 
+CK2a1
+
+>  <family>  (58) 
+CK2
+
+>  <group>  (58) 
+CMGC
+
+>  <complex_pdb>  (58) 
+5cqw
+
+>  <ligand_pdb>  (58) 
+JRJ
+
+>  <alt>  (58) 
+A
+
+>  <chain>  (58) 
+A
+
+>  <atom.prop.subpocket>  (58) 
+FP FP FP FP FP FP FP FP FP FP FP FP X-FP AP
+
+>  <atom.prop.environment>  (58) 
+9 9 9 14 8 8 8 8 8 8 9 9 na na
+
+$$$$
+5m44_chainA
+     RDKit          3D
+
+ 13 14  0  0  0  0  0  0  0  0999 V2000
+    1.2643   17.1468   41.4401 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4823   17.9817   42.1703 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0700   17.4903   43.3073 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1383   16.2231   43.6954 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4981   15.8758   41.7956 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9365   15.3653   42.9524 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1114   14.3458   43.2627 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8228   17.9497   40.1313 S   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0996   19.3668   40.4408 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1572   20.2623   39.8398 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4187   19.2169   41.5808 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1231   18.4395   44.3909 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2706   20.2749   42.0188 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  5  2  0
+  1  8  1  0
+  2  3  2  0
+  2 11  1  0
+  3  4  1  0
+  4  6  2  0
+  5  6  1  0
+  6  7  1  0
+  8  9  1  0
+  9 10  1  0
+  9 11  2  0
+  3 12  1  0
+ 11 13  1  0
+V   12 *
+V   13 *
+M  END
+>  <kinase>  (59) 
+CK2a1
+
+>  <family>  (59) 
+CK2
+
+>  <group>  (59) 
+CMGC
+
+>  <complex_pdb>  (59) 
+5m44
+
+>  <ligand_pdb>  (59) 
+7EY
+
+>  <alt>  (59) 
+ 
+
+>  <chain>  (59) 
+A
+
+>  <atom.prop.subpocket>  (59) 
+FP FP FP FP FP FP FP FP FP FP FP AP AP
+
+>  <atom.prop.environment>  (59) 
+14 14 14 14 14 14 14 14 14 14 16 na na
+
+$$$$
+7zwe_altB_chainA
+     RDKit          3D
+
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    1.6884   16.5753   41.2802 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3421   16.0142   40.2025 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6402   16.5084   39.3737 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5226   14.6619   40.4433 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9575   14.3712   41.7029 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4485   15.6017   42.2200 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9637   15.7414   43.1749 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1427   13.6833   39.6695 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5861   13.9306   38.7162 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1771   12.3791   40.1549 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6520   11.6041   39.5716 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6043   12.0630   41.3870 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6277   11.0432   41.7419 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0042   13.0476   42.1618 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5732   12.7929   43.1187 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3423   17.9812   41.2928 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  6  2  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
+  4  8  1  0
+  5  6  1  0
+  5 14  1  0
+  6  7  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 10 12  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 16  1  1  0
+V   16 *
+M  END
+>  <kinase>  (60) 
+CK2a1
+
+>  <family>  (60) 
+CK2
+
+>  <group>  (60) 
+CMGC
+
+>  <complex_pdb>  (60) 
+7zwe
+
+>  <ligand_pdb>  (60) 
+QXZ
+
+>  <alt>  (60) 
+B
+
+>  <chain>  (60) 
+A
+
+>  <atom.prop.subpocket>  (60) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (60) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+
+$$$$
+6qy9_altB_chainA
+     RDKit          3D
+
+ 19 19  0  0  0  0  0  0  0  0999 V2000
+    1.8247   16.1511   41.8454 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5829   16.4806   42.8451 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7793   17.0423   40.7755 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1810   14.8499   41.6079 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2076   14.1440   42.4248 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5072   14.4332   40.3295 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7943   13.4053   40.1644 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4725   15.3076   39.2597 C   0  0  0  0  0  0  0  0  0  0  0  0
     2.1198   16.6214   39.4986 C   0  0  0  0  0  0  0  0  0  0  0  0
     2.1091   17.3285   38.6824 H   0  0  0  0  0  0  0  0  0  0  0  0
     2.7977   14.8176   37.8530 C   0  0  0  0  0  0  0  0  0  0  0  0
@@ -2844,41 +4090,513 @@ $$$$
   8 11  1  0
   9 10  1  0
  11 12  1  0
- 11 13  1  0
- 11 14  1  0
- 14 15  1  0
- 14 16  1  0
- 14 17  1  0
- 17 18  3  0
-  3 19  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 17 18  3  0
+  3 19  1  0
+V   19 *
+M  END
+>  <kinase>  (61) 
+CK2a2
+
+>  <family>  (61) 
+CK2
+
+>  <group>  (61) 
+CMGC
+
+>  <complex_pdb>  (61) 
+6qy9
+
+>  <ligand_pdb>  (61) 
+JL2
+
+>  <alt>  (61) 
+B
+
+>  <chain>  (61) 
+A
+
+>  <atom.prop.subpocket>  (61) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (61) 
+16 16 16 16 16 16 16 16 16 16 8 8 8 8 8 8 8 8 na
+
+$$$$
+6te2_altA_chainA
+     RDKit          3D
+
+ 10 10  0  0  0  0  0  0  0  0999 V2000
+    1.2652   16.1056   41.7254 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2297   15.7132   43.6257 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4150   14.4378   43.2933 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0945   13.5885   43.8784 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7997   16.6972   40.6509 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1818   16.0657   39.9615 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6910   16.7098   42.7690 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2469   14.3501   41.7820 S   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9120   18.0688   40.3319 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4207   16.1978   44.9023 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  5  1  0
+  1  7  2  0
+  1  8  1  0
+  2  3  2  0
+  2  7  1  0
+  3  4  1  0
+  3  8  1  0
+  5  6  1  0
+  9  5  1  0
+  2 10  1  0
+V    9 *
+V   10 *
+M  END
+>  <kinase>  (62) 
+CK2a2
+
+>  <family>  (62) 
+CK2
+
+>  <group>  (62) 
+CMGC
+
+>  <complex_pdb>  (62) 
+6te2
+
+>  <ligand_pdb>  (62) 
+N4N
+
+>  <alt>  (62) 
+A
+
+>  <chain>  (62) 
+A
+
+>  <atom.prop.subpocket>  (62) 
+FP FP FP FP FP FP FP FP AP SE
+
+>  <atom.prop.environment>  (62) 
+14 14 14 14 5 5 14 14 na na
+
+$$$$
+7xyh_chainA
+     RDKit          3D
+
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    1.3361   14.6150   43.0138 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6771   13.2307   42.8230 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6044   15.0017   44.1884 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3729   16.0423   44.3617 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2731   12.2360   43.7241 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5308   11.1983   43.5721 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1818   14.0088   45.1292 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3653   14.2803   46.0199 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5061   12.6567   44.8512 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1510   11.8993   45.5342 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9834   15.2787   41.8053 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6309   14.2955   40.9895 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1715   14.4234   40.0633 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0465   16.7084   41.4039 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4856   17.4411   42.0647 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3945   13.2108   41.6599 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7490   12.3305   41.3143 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5305   17.0970   40.1592 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1 11  1  0
+  2  5  2  0
+  2 16  1  0
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+  3  7  1  0
+  5  6  1  0
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+  7  9  2  0
+  9 10  1  0
+ 11 12  2  0
+ 11 14  1  0
+ 12 13  1  0
+ 12 16  1  0
+ 14 15  1  0
+ 16 17  1  0
+ 14 18  2  0
+V   18 *
+M  END
+>  <kinase>  (63) 
+CK2a2
+
+>  <family>  (63) 
+CK2
+
+>  <group>  (63) 
+CMGC
+
+>  <complex_pdb>  (63) 
+7xyh
+
+>  <ligand_pdb>  (63) 
+8BH
+
+>  <alt>  (63) 
+ 
+
+>  <chain>  (63) 
+A
+
+>  <atom.prop.subpocket>  (63) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (63) 
+7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 na
+
+$$$$
+6r6e_chainA
+     RDKit          3D
+
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    1.4253   15.6094   37.4645 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0513   16.6041   38.2645 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0975   17.3364   37.6750 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5990   18.1039   38.2459 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4990   17.0813   36.3496 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7995   15.3470   36.1926 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8648   16.0586   35.6152 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1959   15.8234   34.6144 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4227   14.9158   37.9903 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0442   14.2081   37.4416 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1270   15.0959   38.9391 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6151   16.8649   39.5215 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  6  1  0
+  1  9  1  0
+  2  3  1  0
+  3  4  1  0
+  3  5  2  0
+  5  7  1  0
+  6  7  2  0
+  7  8  1  0
+  9 10  1  0
+  9 11  1  0
+  2 12  1  0
+V   12 *
+M  END
+>  <kinase>  (64) 
+CLK1
+
+>  <family>  (64) 
+CLK
+
+>  <group>  (64) 
+CMGC
+
+>  <complex_pdb>  (64) 
+6r6e
+
+>  <ligand_pdb>  (64) 
+JTQ
+
+>  <alt>  (64) 
+ 
+
+>  <chain>  (64) 
+A
+
+>  <atom.prop.subpocket>  (64) 
+FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (64) 
+14 16 14 14 14 14 14 14 5 5 5 na
+
+$$$$
+7ccw_altA_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    1.4403   12.0002   40.2895 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6904   11.9096   39.6973 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0023   10.9918   39.2211 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5393   13.0108   39.7219 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1313   14.2051   40.3223 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7914   15.0599   40.3281 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8674   14.2929   40.9160 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0345   13.1825   40.8822 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0521   13.2429   41.3267 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3615   15.4450   41.5425 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6780   15.3674   42.3752 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7743   12.9017   39.1432 O   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3143   13.6942   39.1870 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5884   10.9382   40.2754 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2617   11.0944   40.6932 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8052   16.8177   41.0131 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  1 14  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
+  4 12  1  0
+  5  6  1  0
+  5  7  1  0
+  7  8  2  0
+  7 10  1  0
+  8  9  1  0
+ 10 11  1  0
+ 12 13  1  0
+ 14 15  1  0
+ 10 16  2  0
+V   16 *
+M  END
+>  <kinase>  (65) 
+DAPK1
+
+>  <family>  (65) 
+DAPK
+
+>  <group>  (65) 
+CAMK
+
+>  <complex_pdb>  (65) 
+7ccw
+
+>  <ligand_pdb>  (65) 
+STL
+
+>  <alt>  (65) 
+A
+
+>  <chain>  (65) 
+A
+
+>  <atom.prop.subpocket>  (65) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (65) 
+16 16 16 16 16 16 16 16 16 7 16 3 3 3 3 na
+
+$$$$
+8ie6_chainA
+     RDKit          3D
+
+ 19 19  0  0  0  0  0  0  0  0999 V2000
+    5.6279   14.1185   38.9718 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.6237   13.8797   38.5982 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6745   14.2886   40.0474 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.2603   15.0176   38.4773 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0608   14.3981   39.8036 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7843   15.1763   39.9970 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7357   14.5612   40.2243 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3011   15.7089   40.9083 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7245   15.6300   41.8181 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8141   13.5455   39.9776 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2090   13.6562   40.3053 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3084   11.4043   39.0591 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6605   10.6428   38.5926 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2071   12.3887   39.3103 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5209   12.2325   38.8918 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8182   11.3310   38.3767 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4553   13.2325   39.1335 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7386   13.0239   38.6982 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6713   17.0778   40.3222 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1 18  1  0
+  5  6  1  0
+  5  7  2  0
+  5 17  1  0
+  7  8  1  0
+  7 10  1  0
+  8  9  1  0
+ 10 11  1  0
+ 10 14  2  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  1  0
+ 15 16  1  0
+ 15 17  2  0
+ 17 18  1  0
+  8 19  2  0
+V   19 *
+M  END
+>  <kinase>  (66) 
+DAPK1
+
+>  <family>  (66) 
+DAPK
+
+>  <group>  (66) 
+CAMK
+
+>  <complex_pdb>  (66) 
+8ie6
+
+>  <ligand_pdb>  (66) 
+8KZ
+
+>  <alt>  (66) 
+ 
+
+>  <chain>  (66) 
+A
+
+>  <atom.prop.subpocket>  (66) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (66) 
+3 3 3 3 16 16 16 7 16 16 16 3 3 16 16 16 16 3 na
+
+$$$$
+8ie7_chainA
+     RDKit          3D
+
+ 22 22  0  0  0  0  0  0  0  0999 V2000
+   -0.7225   12.3323   40.0147 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5317   11.6029   40.0519 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0155   13.1678   39.3788 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5152   12.6967   41.0208 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4550   11.7132   39.4783 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4760   12.6131   39.4254 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2533   13.9529   39.7457 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2687   14.2784   40.0475 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7477   12.1905   39.0454 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9239   11.1546   38.7957 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7906   13.1115   38.9893 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.0434   12.7254   38.6257 O   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9947   13.7190   39.0412 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.9972   13.4070   38.7485 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9513   13.8331   40.1243 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.7571   14.6707   38.5658 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5570   14.4438   39.3068 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3692   15.1544   39.2637 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2946   14.8683   39.6774 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1022   16.2080   39.9974 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6368   17.0143   39.5172 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0685   16.4274   41.0864 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  6  7  2  0
+  6  9  1  0
+  7  8  1  0
+  7 19  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 11 17  1  0
+ 12 13  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 16  1  0
+ 17 18  1  0
+ 17 19  2  0
+ 19 20  1  0
+ 20 21  1  0
+ 20 22  2  0
+V   22 *
+M  END
+>  <kinase>  (67) 
+DAPK1
+
+>  <family>  (67) 
+DAPK
+
+>  <group>  (67) 
+CAMK
+
+>  <complex_pdb>  (67) 
+8ie7
+
+>  <ligand_pdb>  (67) 
+3RL
+
+>  <alt>  (67) 
+ 
+
+>  <chain>  (67) 
+A
+
+>  <atom.prop.subpocket>  (67) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (67) 
+3 3 3 3 3 16 16 16 16 16 16 3 3 3 3 3 16 16 16 7 16 na
+
+$$$$
+8ie8_chainA
+     RDKit          3D
+
+ 19 19  0  0  0  0  0  0  0  0999 V2000
+    1.8205   14.9036   40.5967 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8734   14.1176   41.2458 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0680   14.5786   41.7982 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8629   14.3057   39.8857 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5937   14.9231   39.3847 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9746   12.7322   41.1759 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9668   12.9175   39.8183 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7749   12.4547   39.2712 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0145   12.1360   40.4658 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7231   16.2901   40.6583 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1618   16.9271   39.9044 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8336   12.6142   42.6244 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5230   11.9120   43.0932 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3953   13.3255   42.0189 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2809   13.1506   43.3958 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0522   10.7707   40.4527 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7850   10.3898   39.9632 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0852   11.8967   41.7896 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9564   16.8634   41.8592 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  4  1  0
+  1 10  1  0
+  2  3  1  0
+  2  6  1  0
+  4  5  1  0
+  4  7  2  0
+  6  9  2  0
+  6 18  1  0
+  7  8  1  0
+  7  9  1  0
+  9 16  1  0
+ 10 11  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 12 15  1  0
+ 12 18  1  0
+ 16 17  1  0
+ 10 19  2  0
 V   19 *
 M  END
->  <kinase>  (43) 
-CK2a2
+>  <kinase>  (68) 
+DAPK1
 
->  <family>  (43) 
-CK2
+>  <family>  (68) 
+DAPK
 
->  <group>  (43) 
-CMGC
+>  <group>  (68) 
+CAMK
 
->  <complex_pdb>  (43) 
-6qy9
+>  <complex_pdb>  (68) 
+8ie8
 
->  <ligand_pdb>  (43) 
-JL2
+>  <ligand_pdb>  (68) 
+P5O
 
->  <alt>  (43) 
-B
+>  <alt>  (68) 
+ 
 
->  <chain>  (43) 
+>  <chain>  (68) 
 A
 
->  <atom.prop.subpocket>  (43) 
+>  <atom.prop.subpocket>  (68) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (43) 
-16 16 16 16 16 16 16 16 16 16 8 8 8 8 8 8 8 8 na
+>  <atom.prop.environment>  (68) 
+16 16 16 16 16 16 16 16 16 7 16 3 3 3 3 3 3 3 na
 
 $$$$
 6eir_chainC
@@ -2919,108 +4637,293 @@ $$$$
   8 10  1  0
  10 11  1  0
  11 12  1  0
- 11 13  1  0
- 13 14  2  0
- 13 15  1  0
- 15 16  1  0
- 15 17  1  0
- 15 18  1  0
- 18 19  1  0
- 18 20  1  0
- 18 21  1  0
-  1 22  1  0
-V   22 *
+ 11 13  1  0
+ 13 14  2  0
+ 13 15  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 18 19  1  0
+ 18 20  1  0
+ 18 21  1  0
+ 22  1  1  0
+V   22 *
+M  END
+>  <kinase>  (69) 
+DYRK1A
+
+>  <family>  (69) 
+DYRK
+
+>  <group>  (69) 
+CMGC
+
+>  <complex_pdb>  (69) 
+6eir
+
+>  <ligand_pdb>  (69) 
+B6H
+
+>  <alt>  (69) 
+ 
+
+>  <chain>  (69) 
+C
+
+>  <atom.prop.subpocket>  (69) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (69) 
+16 16 16 16 16 16 16 16 16 16 5 5 1 1 1 1 1 1 1 1 1 na
+
+$$$$
+6eis_altB_chainA
+     RDKit          3D
+
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    2.0351   13.6518   42.0061 F   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6393   14.5780   41.2709 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8480   14.1450   40.9630 F   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7448   15.7006   41.9696 F   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9195   14.8015   40.0907 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5068   14.4380   38.8843 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4923   13.9962   38.8792 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8351   14.6391   37.6856 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4206   14.2807   36.5155 F   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5658   15.2048   37.6884 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0423   15.3622   36.7570 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0296   15.5679   38.8912 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0189   16.0010   38.8917 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6433   15.3760   40.0954 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0540   15.7349   41.2518 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  2  3  1  0
+  2  4  1  0
+  2  5  1  0
+  5  6  2  0
+  5 14  1  0
+  6  7  1  0
+  6  8  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 10 12  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+V   15 *
+M  END
+>  <kinase>  (70) 
+DYRK1A
+
+>  <family>  (70) 
+DYRK
+
+>  <group>  (70) 
+CMGC
+
+>  <complex_pdb>  (70) 
+6eis
+
+>  <ligand_pdb>  (70) 
+B6N
+
+>  <alt>  (70) 
+B
+
+>  <chain>  (70) 
+A
+
+>  <atom.prop.subpocket>  (70) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (70) 
+8 8 8 8 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+6uwy_altB_chainB
+     RDKit          3D
+
+ 15 14  0  0  0  0  0  0  0  0999 V2000
+    1.0594   15.5289   41.5270 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2373   16.2129   42.3568 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6300   14.6133   41.6822 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5928   16.2144   40.2121 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9848   15.8477   39.3851 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6253   15.8933   40.0743 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4654   15.1532   41.5304 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6120   14.3491   40.8092 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0260   16.0325   41.2131 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0317   14.6973   42.8501 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3376   14.9243   43.3290 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6115   14.5724   44.2353 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9997   15.4388   42.7660 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3133   14.0348   43.6712 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5782   17.7529   40.1453 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  7  1  0
+  4  5  1  0
+  4  6  1  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+ 10 11  1  0
+ 10 14  2  0
+ 11 12  1  0
+ 11 13  1  0
+ 15  4  1  0
+V   15 *
+M  END
+>  <kinase>  (71) 
+DYRK1A
+
+>  <family>  (71) 
+DYRK
+
+>  <group>  (71) 
+CMGC
+
+>  <complex_pdb>  (71) 
+6uwy
+
+>  <ligand_pdb>  (71) 
+QKG
+
+>  <alt>  (71) 
+B
+
+>  <chain>  (71) 
+B
+
+>  <atom.prop.subpocket>  (71) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (71) 
+1 1 1 8 1 1 1 1 1 1 5 5 5 1 na
+
+$$$$
+7a5n_chainA
+     RDKit          3D
+
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    0.6492   16.0609   41.3706 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3543   16.0676   40.9451 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6098   15.6716   42.3879 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5392   15.1789   40.5337 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6013   15.3160   39.1607 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8064   16.2498   38.5859 F   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4021   14.5260   38.3703 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4233   14.6561   37.2984 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1722   13.5700   38.9772 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8036   12.9355   38.3730 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1560   13.4029   40.3468 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7594   12.6406   40.8171 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3572   14.2254   41.0969 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3509   14.0881   42.4422 F   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1654   17.4061   41.3949 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  4  5  2  0
+  4 13  1  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 15  1  1  0
+V   15 *
 M  END
->  <kinase>  (44) 
+>  <kinase>  (72) 
 DYRK1A
 
->  <family>  (44) 
+>  <family>  (72) 
 DYRK
 
->  <group>  (44) 
+>  <group>  (72) 
 CMGC
 
->  <complex_pdb>  (44) 
-6eir
+>  <complex_pdb>  (72) 
+7a5n
 
->  <ligand_pdb>  (44) 
-B6H
+>  <ligand_pdb>  (72) 
+R05
 
->  <alt>  (44) 
+>  <alt>  (72) 
  
 
->  <chain>  (44) 
-C
+>  <chain>  (72) 
+A
 
->  <atom.prop.subpocket>  (44) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+>  <atom.prop.subpocket>  (72) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (44) 
-16 16 16 16 16 16 16 16 16 16 5 5 1 1 1 1 1 1 1 1 1 na
+>  <atom.prop.environment>  (72) 
+4 4 4 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-6eis_altB_chainA
+7ak2_chainA
      RDKit          3D
 
- 15 15  0  0  0  0  0  0  0  0999 V2000
-    2.0351   13.6518   42.0061 F   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6393   14.5780   41.2709 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.8480   14.1450   40.9630 F   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7448   15.7006   41.9696 F   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9195   14.8015   40.0907 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5068   14.4380   38.8843 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.4923   13.9962   38.8792 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8351   14.6391   37.6856 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4206   14.2807   36.5155 F   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5658   15.2048   37.6884 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0423   15.3622   36.7570 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0296   15.5679   38.8912 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0189   16.0010   38.8917 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.6433   15.3760   40.0954 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0540   15.7349   41.2518 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  2  3  1  0
-  2  4  1  0
-  2  5  1  0
-  5  6  2  0
-  5 14  1  0
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    0.1056   15.6372   41.3886 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8998   14.7830   40.2488 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6589   15.2055   40.2205 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1323   15.2363   39.0916 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1511   15.5925   39.1317 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4227   14.7974   37.9137 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1622   14.7957   37.0058 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7303   14.3592   37.8963 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1877   14.0115   36.9818 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4356   14.3778   39.0790 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4655   14.0529   39.0695 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0383   15.8561   42.4524 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  3  1  0
+  2  3  2  0
+  2 10  1  0
+  3  4  1  0
+  4  5  1  0
+  4  6  2  0
   6  7  1  0
   6  8  1  0
   8  9  1  0
   8 10  2  0
  10 11  1  0
- 10 12  1  0
- 12 13  1  0
- 12 14  2  0
- 14 15  1  0
-V   15 *
+  1 12  1  0
+V   12 *
 M  END
->  <kinase>  (45) 
+>  <kinase>  (73) 
 DYRK1A
 
->  <family>  (45) 
+>  <family>  (73) 
 DYRK
 
->  <group>  (45) 
+>  <group>  (73) 
 CMGC
 
->  <complex_pdb>  (45) 
-6eis
+>  <complex_pdb>  (73) 
+7ak2
 
->  <ligand_pdb>  (45) 
-B6N
+>  <ligand_pdb>  (73) 
+RHH
 
->  <alt>  (45) 
-B
+>  <alt>  (73) 
+ 
 
->  <chain>  (45) 
+>  <chain>  (73) 
 A
 
->  <atom.prop.subpocket>  (45) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+>  <atom.prop.subpocket>  (73) 
+FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (45) 
-8 8 8 8 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (73) 
+3 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
 4jr3_chainA
@@ -3067,33 +4970,99 @@ $$$$
  18 19  1  0
 V   19 *
 M  END
->  <kinase>  (46) 
+>  <kinase>  (74) 
 EGFR
 
->  <family>  (46) 
+>  <family>  (74) 
 EGFR
 
->  <group>  (46) 
+>  <group>  (74) 
 TK
 
->  <complex_pdb>  (46) 
+>  <complex_pdb>  (74) 
 4jr3
 
->  <ligand_pdb>  (46) 
+>  <ligand_pdb>  (74) 
 KJR
 
->  <alt>  (46) 
+>  <alt>  (74) 
  
 
->  <chain>  (46) 
+>  <chain>  (74) 
 A
 
->  <atom.prop.subpocket>  (46) 
+>  <atom.prop.subpocket>  (74) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (46) 
+>  <atom.prop.environment>  (74) 
 1 1 1 1 1 1 5 5 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+4rj7_altA_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    1.3368   17.6085   41.3229 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3894   16.6447   41.6201 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7465   17.8849   40.0637 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7989   19.0409   39.6334 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1826   16.8184   39.1296 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5533   16.6063   38.9228 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9831   15.7239   37.9415 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.0389   15.5422   37.8052 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0565   15.0729   37.1331 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3971   14.3886   36.3702 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6962   15.2977   37.3010 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9810   14.7902   36.6706 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2607   16.1749   38.2797 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4392   16.4140   38.4759 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    4.6948   17.4033   39.9528 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    0.8425   18.5411   42.2608 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  3  4  2  0
+  3  5  1  0
+  5  6  2  0
+  5 13  1  0
+  6  7  1  0
+  6 15  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 16  1  1  0
+V   16 *
+M  END
+>  <kinase>  (75) 
+EGFR
+
+>  <family>  (75) 
+EGFR
+
+>  <group>  (75) 
+TK
+
+>  <complex_pdb>  (75) 
+4rj7
+
+>  <ligand_pdb>  (75) 
+3R1
+
+>  <alt>  (75) 
+A
+
+>  <chain>  (75) 
+A
+
+>  <atom.prop.subpocket>  (75) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (75) 
+5 5 1 1 16 16 16 16 16 16 16 16 16 16 16 na
+
 $$$$
 4zau_chainA
      RDKit          3D
@@ -3137,35 +5106,35 @@ $$$$
  13 15  1  0
  13 16  1  0
  17 18  1  0
-  1 19  1  0
+ 19  1  1  0
 V   19 *
 M  END
->  <kinase>  (47) 
+>  <kinase>  (76) 
 EGFR
 
->  <family>  (47) 
+>  <family>  (76) 
 EGFR
 
->  <group>  (47) 
+>  <group>  (76) 
 TK
 
->  <complex_pdb>  (47) 
+>  <complex_pdb>  (76) 
 4zau
 
->  <ligand_pdb>  (47) 
+>  <ligand_pdb>  (76) 
 YY3
 
->  <alt>  (47) 
+>  <alt>  (76) 
  
 
->  <chain>  (47) 
+>  <chain>  (76) 
 A
 
->  <atom.prop.subpocket>  (47) 
+>  <atom.prop.subpocket>  (76) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (47) 
-16 16 16 16 16 16 16 16 16 16 16 16 8 8 8 8 16 16 na
+>  <atom.prop.environment>  (76) 
+16 9 9 9 9 9 9 9 9 9 9 9 8 8 8 8 9 9 na
 
 $$$$
 5c8m_chainA
@@ -3187,7 +5156,7 @@ $$$$
     1.9472   18.1825   39.8031 C   0  0  0  0  0  0  0  0  0  0  0  0
     0.9690   17.7913   40.0829 H   0  0  0  0  0  0  0  0  0  0  0  0
     2.4929   18.4724   40.7010 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.3246   16.6043   37.9582 S   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3246   16.6043   37.9582 S   0  0  0  0  0  6  0  0  0  0  0  0
     4.8339   15.2827   37.7670 O   0  0  0  0  0  0  0  0  0  0  0  0
     5.9909   17.2401   36.8758 O   0  0  0  0  0  0  0  0  0  0  0  0
     6.4436   16.5559   39.3917 C   0  0  0  0  0  0  0  0  0  0  0  0
@@ -3217,34 +5186,34 @@ $$$$
  19 20  1  0
  19 21  1  0
  19 22  1  0
-  1 23  1  0
+ 23  1  1  0
 V   23 *
 M  END
->  <kinase>  (48) 
+>  <kinase>  (77) 
 EGFR
 
->  <family>  (48) 
+>  <family>  (77) 
 EGFR
 
->  <group>  (48) 
+>  <group>  (77) 
 TK
 
->  <complex_pdb>  (48) 
+>  <complex_pdb>  (77) 
 5c8m
 
->  <ligand_pdb>  (48) 
+>  <ligand_pdb>  (77) 
 4YW
 
->  <alt>  (48) 
+>  <alt>  (77) 
  
 
->  <chain>  (48) 
+>  <chain>  (77) 
 A
 
->  <atom.prop.subpocket>  (48) 
+>  <atom.prop.subpocket>  (77) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (48) 
+>  <atom.prop.environment>  (77) 
 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 na
 
 $$$$
@@ -3264,198 +5233,120 @@ $$$$
     3.3933   17.6264   39.6749 H   0  0  0  0  0  0  0  0  0  0  0  0
     2.7014   17.5265   41.6929 C   0  0  0  0  0  0  0  0  0  0  0  0
     2.5662   16.7346   42.8398 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1107   17.1292   43.7360 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0324   15.4321   42.7933 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8677   14.4012   44.1470 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    2.2946   18.8668   41.6265 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  4  1  0
-  1  5  1  0
-  5  6  1  0
-  6  7  2  0
-  6 14  1  0
-  7  8  1  0
-  7  9  1  0
-  9 10  1  0
-  9 11  2  0
- 11 12  1  0
- 12 13  1  0
- 12 14  2  0
- 14 15  1  0
- 11 16  1  0
-V   16 *
-M  END
->  <kinase>  (49) 
-EphB4
-
->  <family>  (49) 
-Eph
-
->  <group>  (49) 
-TK
-
->  <complex_pdb>  (49) 
-2vwv
-
->  <ligand_pdb>  (49) 
-7X3
-
->  <alt>  (49) 
-A
-
->  <chain>  (49) 
-A
-
->  <atom.prop.subpocket>  (49) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
-
->  <atom.prop.environment>  (49) 
-3 3 3 3 3 16 16 16 16 16 16 16 16 16 16 na
-
-$$$$
-2oji_chainA
-     RDKit          3D
-
- 17 17  0  0  0  0  0  0  0  0999 V2000
-    2.5704   17.4481   38.2786 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9969   16.9157   38.9172 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0327   16.8009   37.0151 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2047   17.5707   36.2628 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2620   16.1150   36.6634 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.3274   16.0240   37.2387 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1989   15.7557   36.1531 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9457   16.0983   35.1607 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.4021   15.0383   36.3688 C   0  0  0  0  0  0  0  0  0  0  0  0
-    7.0623   14.8358   35.5384 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.7438   14.5856   37.6653 C   0  0  0  0  0  0  0  0  0  0  0  0
-    7.6638   14.0416   37.8208 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.8896   14.8421   38.7505 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.1497   14.4960   39.7400 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6784   15.5612   38.5385 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0200   15.7573   39.3719 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8994   18.7498   38.6051 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1107   17.1292   43.7360 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0324   15.4321   42.7933 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8677   14.4012   44.1470 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    2.2946   18.8668   41.6265 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  1  0
-  3  4  1  0
-  3  5  1  0
-  3  6  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
   6  7  2  0
-  6 15  1  0
+  6 14  1  0
   7  8  1  0
   7  9  1  0
   9 10  1  0
   9 11  2  0
  11 12  1  0
- 11 13  1  0
- 13 14  1  0
- 13 15  2  0
- 15 16  1  0
-  1 17  1  0
-V   17 *
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 11 16  1  0
+V   16 *
 M  END
->  <kinase>  (50) 
-Erk2
+>  <kinase>  (78) 
+EphB4
 
->  <family>  (50) 
-MAPK
+>  <family>  (78) 
+Eph
 
->  <group>  (50) 
-CMGC
+>  <group>  (78) 
+TK
 
->  <complex_pdb>  (50) 
-2oji
+>  <complex_pdb>  (78) 
+2vwv
 
->  <ligand_pdb>  (50) 
-33A
+>  <ligand_pdb>  (78) 
+7X3
 
->  <alt>  (50) 
- 
+>  <alt>  (78) 
+A
 
->  <chain>  (50) 
+>  <chain>  (78) 
 A
 
->  <atom.prop.subpocket>  (50) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP GA
+>  <atom.prop.subpocket>  (78) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (50) 
-5 5 8 8 8 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (78) 
+3 3 3 3 3 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-4fv1_altA_chainA
+1tvo_chainA
      RDKit          3D
 
- 21 21  0  0  0  0  0  0  0  0999 V2000
-    2.4180   17.3294   38.2654 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6146   16.9330   38.7318 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0574   16.5675   37.1961 C   0  0  1  0  0  0  0  0  0  0  0  0
-    3.1895   17.2567   36.3621 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.4108   16.0160   37.5925 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6455   15.5815   38.8915 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9434   15.8310   39.6734 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.7701   14.8319   39.1940 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.9301   14.4838   40.2038 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.6841   14.5298   38.2109 C   0  0  0  0  0  0  0  0  0  0  0  0
-    7.5425   13.9152   38.4386 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.4989   15.0155   36.9330 C   0  0  0  0  0  0  0  0  0  0  0  0
-    7.2375   14.8183   36.1701 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.3696   15.7550   36.6252 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.2340   16.1321   35.6223 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1802   15.3755   36.8338 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2280   14.6437   37.6402 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5556   14.9273   35.9138 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8274   15.7588   36.6401 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5851   15.5242   35.7413 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8588   18.5377   38.6512 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    2.1037   15.3394   35.8286 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2154   14.7702   34.9176 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0602   16.3636   36.2141 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9008   16.5894   35.5748 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8844   17.0626   37.4298 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8275   16.8633   38.3468 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8263   15.8686   37.9842 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0213   15.6865   38.6282 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9829   15.1214   36.7402 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2418   14.3788   36.4837 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8319   18.0534   37.9390 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3226   18.4243   39.2036 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0775   17.7195   39.4954 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1220   19.4027   39.9316 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2134   17.8625   40.6668 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  1  0
-  3  4  1  6
+  1  3  2  0
+  1  9  1  0
+  3  4  1  0
   3  5  1  0
-  3 16  1  0
-  5  6  2  0
-  5 14  1  0
+  5  6  1  0
+  5 11  1  0
   6  7  1  0
-  6  8  1  0
-  8  9  1  0
-  8 10  2  0
- 10 11  1  0
- 10 12  1  0
+  6 13  2  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+ 11 12  2  0
  12 13  1  0
- 12 14  2  0
- 14 15  1  0
- 16 17  1  0
- 16 18  1  0
- 16 19  1  0
- 19 20  1  0
-  1 21  1  0
-V   21 *
+ 12 14  1  0
+ 13 15  1  0
+V   14 *
+V   15 *
 M  END
->  <kinase>  (51) 
+>  <kinase>  (79) 
 Erk2
 
->  <family>  (51) 
+>  <family>  (79) 
 MAPK
 
->  <group>  (51) 
+>  <group>  (79) 
 CMGC
 
->  <complex_pdb>  (51) 
-4fv1
+>  <complex_pdb>  (79) 
+1tvo
 
->  <ligand_pdb>  (51) 
-EK4
+>  <ligand_pdb>  (79) 
+FRZ
 
->  <alt>  (51) 
-A
+>  <alt>  (79) 
+ 
 
->  <chain>  (51) 
+>  <chain>  (79) 
 A
 
->  <atom.prop.subpocket>  (51) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP GA
+>  <atom.prop.subpocket>  (79) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP GA AP
 
->  <atom.prop.environment>  (51) 
-5 5 8 8 16 16 16 16 16 16 16 16 16 16 16 8 8 8 3 3 na
+>  <atom.prop.environment>  (79) 
+14 14 14 14 14 14 14 14 14 14 14 14 16 na na
 
 $$$$
 4qp9_chainA
@@ -3500,32 +5391,32 @@ $$$$
   3 18  1  0
 V   18 *
 M  END
->  <kinase>  (52) 
+>  <kinase>  (80) 
 Erk2
 
->  <family>  (52) 
+>  <family>  (80) 
 MAPK
 
->  <group>  (52) 
+>  <group>  (80) 
 CMGC
 
->  <complex_pdb>  (52) 
+>  <complex_pdb>  (80) 
 4qp9
 
->  <ligand_pdb>  (52) 
+>  <ligand_pdb>  (80) 
 35X
 
->  <alt>  (52) 
+>  <alt>  (80) 
  
 
->  <chain>  (52) 
+>  <chain>  (80) 
 A
 
->  <atom.prop.subpocket>  (52) 
+>  <atom.prop.subpocket>  (80) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (52) 
-16 16 16 16 16 8 8 8 8 8 8 8 8 8 8 16 16 na
+>  <atom.prop.environment>  (80) 
+9 9 16 9 9 8 8 8 8 8 8 8 8 8 8 9 9 na
 
 $$$$
 5buj_altA_chainA
@@ -3558,31 +5449,31 @@ $$$$
   1 12  1  0
 V   12 *
 M  END
->  <kinase>  (53) 
+>  <kinase>  (81) 
 Erk2
 
->  <family>  (53) 
+>  <family>  (81) 
 MAPK
 
->  <group>  (53) 
+>  <group>  (81) 
 CMGC
 
->  <complex_pdb>  (53) 
+>  <complex_pdb>  (81) 
 5buj
 
->  <ligand_pdb>  (53) 
+>  <ligand_pdb>  (81) 
 4VB
 
->  <alt>  (53) 
+>  <alt>  (81) 
 A
 
->  <chain>  (53) 
+>  <chain>  (81) 
 A
 
->  <atom.prop.subpocket>  (53) 
+>  <atom.prop.subpocket>  (81) 
 FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (53) 
+>  <atom.prop.environment>  (81) 
 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -3629,59 +5520,228 @@ $$$$
   1 18  1  0
 V   18 *
 M  END
->  <kinase>  (54) 
+>  <kinase>  (82) 
 FAK
 
->  <family>  (54) 
+>  <family>  (82) 
 FAK
 
->  <group>  (54) 
+>  <group>  (82) 
 TK
 
->  <complex_pdb>  (54) 
+>  <complex_pdb>  (82) 
 6i8z
 
->  <ligand_pdb>  (54) 
+>  <ligand_pdb>  (82) 
 H82
 
->  <alt>  (54) 
+>  <alt>  (82) 
  
 
->  <chain>  (54) 
+>  <chain>  (82) 
 A
 
->  <atom.prop.subpocket>  (54) 
+>  <atom.prop.subpocket>  (82) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (54) 
+>  <atom.prop.environment>  (82) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-4f63_chainB
+6yoj_altB_chainA
      RDKit          3D
 
- 19 19  0  0  0  0  0  0  0  0999 V2000
-    1.3566   14.2131   43.1064 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7274   13.2756   43.0469 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7450   15.3109   42.2060 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4036   15.9880   42.7499 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8446   15.8451   41.9030 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4670   14.8355   40.9571 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5613   13.7500   40.9861 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.4591   15.2856   40.9207 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6914   15.2366   39.7261 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3231   14.9522   39.5744 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2221   14.4563   40.3639 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3229   15.3174   38.3932 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3730   15.1088   38.2511 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4124   15.9535   37.4067 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0650   16.2456   36.4830 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7031   16.2053   37.5937 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3633   15.8767   38.6976 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.4143   16.1063   38.7928 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4266   14.6164   44.0405 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+    0.4666   14.3234   40.4006 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1304   13.3400   40.6946 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0440   14.8832   39.2064 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5942   14.3205   38.5412 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4411   16.1660   38.8664 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5911   15.8085   36.0865 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1043   14.8341   36.1273 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6616   15.6871   36.2519 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4233   16.2579   35.1077 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6887   17.0784   41.7748 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7047   16.7254   41.5981 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4172   16.8981   42.8150 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3065   16.8926   39.6724 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6437   17.8750   39.3765 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7268   16.3290   40.8635 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3307   15.0472   41.2156 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6967   14.6069   42.1314 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0991   16.8812   37.3686 S   0  0  0  0  0  6  0  0  0  0  0  0
+   -1.5384   16.7956   37.3510 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5319   18.1486   37.3178 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6158   18.5259   41.4923 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1 16  1  0
+  3  4  1  0
+  3  5  1  0
+  5 13  2  0
+  5 18  1  0
+  6  7  1  0
+  6  8  1  0
+  6  9  1  0
+  6 18  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 15  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 15 16  2  0
+ 16 17  1  0
+ 18 19  2  0
+ 18 20  2  0
+ 10 21  1  0
+V   21 *
+M  END
+>  <kinase>  (83) 
+FAK
+
+>  <family>  (83) 
+FAK
+
+>  <group>  (83) 
+TK
+
+>  <complex_pdb>  (83) 
+6yoj
+
+>  <ligand_pdb>  (83) 
+P4N
+
+>  <alt>  (83) 
+B
+
+>  <chain>  (83) 
+A
+
+>  <atom.prop.subpocket>  (83) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (83) 
+16 16 16 16 16 16 16 16 16 4 4 4 16 16 16 16 16 16 16 16 na
+
+$$$$
+6yt6_altA_chainB
+     RDKit          3D
+
+ 25 25  0  0  0  0  0  0  0  0999 V2000
+    2.1704   17.4929   41.0101 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2067   17.2622   40.7633 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9535   17.1522   42.0225 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2781   16.7372   40.0560 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5359   17.3736   39.0656 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5975   18.4459   38.9525 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2810   16.6371   38.2248 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8630   17.1248   37.4568 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3372   15.2699   38.3868 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9772   14.7045   37.7256 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1348   15.3395   40.1207 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8034   12.3496   39.9697 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3443   11.7131   40.7261 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6935   11.8602   39.5744 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0937   12.5217   39.1604 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3571   14.6024   39.3179 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8707   14.6284   41.1354 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2512   13.8834   40.6902 S   0  0  0  0  0  6  0  0  0  0  0  0
+    1.0739   14.0033   42.1946 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1866   14.6067   42.3860 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6697   13.9344   43.1048 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7728   13.0037   41.8810 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9780   13.6231   41.8898 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8485   14.6993   39.6856 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0038   18.9340   40.9702 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  1  0
+  1  4  1  0
+  4  5  2  0
+  4 11  1  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 16  1  0
+ 11 16  2  0
+ 11 17  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 12 15  1  0
+ 12 18  1  0
+ 17 18  1  0
+ 17 19  1  0
+ 18 23  2  0
+ 18 24  2  0
+ 19 20  1  0
+ 19 21  1  0
+ 19 22  1  0
+  1 25  1  0
+V   25 *
+M  END
+>  <kinase>  (84) 
+FAK
+
+>  <family>  (84) 
+FAK
+
+>  <group>  (84) 
+TK
+
+>  <complex_pdb>  (84) 
+6yt6
+
+>  <ligand_pdb>  (84) 
+PKE
+
+>  <alt>  (84) 
+A
+
+>  <chain>  (84) 
+B
+
+>  <atom.prop.subpocket>  (84) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (84) 
+4 4 4 16 14 14 14 14 14 14 14 12 12 12 12 14 5 12 5 5 5 5 12 12 na
+
+$$$$
+4rwk_altA_chainA
+     RDKit          3D
+
+ 26 26  0  0  0  0  0  0  0  0999 V2000
+    0.7223   15.7722   38.6361 O   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3608   16.4129   39.6273 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5606   20.2668   41.7533 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4538   19.6841   41.9785 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7628   21.3236   41.9272 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2359   20.0840   40.2859 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8467   20.7633   39.6913 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1812   20.3019   40.1174 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5274   18.6553   39.8782 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8233   18.1504   39.9303 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6312   18.7830   40.2672 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0869   16.8376   39.5522 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0503   16.0132   39.1092 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2495   14.9939   38.8126 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7686   16.5196   39.0559 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5060   17.8292   39.4356 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4959   18.2080   39.3857 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8783   15.0944   37.3817 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0276   14.5310   37.1580 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7257   14.4113   37.4407 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0554   15.8257   36.5931 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6189   14.9989   39.6482 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.6934   14.8266   39.7107 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.2305   14.5451   38.7364 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1285   14.5528   40.5134 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4728   19.8377   42.6946 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1 15  1  0
+  1 18  1  0
+  2 12  1  0
+  2 22  1  0
   3  4  1  0
   3  5  1  0
   3  6  1  0
@@ -3689,44 +5749,49 @@ $$$$
   6  8  1  0
   6  9  1  0
   9 10  2  0
-  9 17  1  0
+  9 16  1  0
  10 11  1  0
  10 12  1  0
- 12 13  1  0
- 12 14  2  0
- 14 15  1  0
- 14 16  1  0
- 16 17  2  0
- 17 18  1  0
-  1 19  1  0
-V   19 *
+ 12 13  2  0
+ 13 14  1  0
+ 13 15  1  0
+ 15 16  2  0
+ 16 17  1  0
+ 18 19  1  0
+ 18 20  1  0
+ 18 21  1  0
+ 22 23  1  0
+ 22 24  1  0
+ 22 25  1  0
+ 26  3  1  0
+V   26 *
 M  END
->  <kinase>  (55) 
+>  <kinase>  (85) 
 FGFR1
 
->  <family>  (55) 
+>  <family>  (85) 
 FGFR
 
->  <group>  (55) 
+>  <group>  (85) 
 TK
 
->  <complex_pdb>  (55) 
-4f63
+>  <complex_pdb>  (85) 
+4rwk
 
->  <ligand_pdb>  (55) 
-0S7
+>  <ligand_pdb>  (85) 
+66T
 
->  <alt>  (55) 
- 
+>  <alt>  (85) 
+A
 
->  <chain>  (55) 
-B
+>  <chain>  (85) 
+A
 
->  <atom.prop.subpocket>  (55) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP SE
+>  <atom.prop.subpocket>  (85) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (55) 
-5 5 8 8 8 8 8 8 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (85) 
+3 3 8 8 8 8 8 8 16 16 16 16 16 16 16 16 16 3 3 3 3 3 3 3 3 na
 
 $$$$
 1oec_chainA
@@ -3778,98 +5843,185 @@ $$$$
  16 19  1  0
  20 21  1  0
  20 22  1  0
-  1 23  1  0
+ 23  1  1  0
 V   23 *
 M  END
->  <kinase>  (56) 
+>  <kinase>  (86) 
 FGFR2
 
->  <family>  (56) 
+>  <family>  (86) 
 FGFR
 
->  <group>  (56) 
+>  <group>  (86) 
 TK
 
->  <complex_pdb>  (56) 
+>  <complex_pdb>  (86) 
 1oec
 
->  <ligand_pdb>  (56) 
+>  <ligand_pdb>  (86) 
 AA2
 
->  <alt>  (56) 
+>  <alt>  (86) 
  
 
->  <chain>  (56) 
+>  <chain>  (86) 
 A
 
->  <atom.prop.subpocket>  (56) 
+>  <atom.prop.subpocket>  (86) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (56) 
-16 16 16 16 16 16 16 16 16 16 8 8 8 8 8 8 8 8 8 5 5 5 na
+>  <atom.prop.environment>  (86) 
+16 16 16 16 16 16 16 16 16 16 4 4 4 4 4 4 4 4 4 5 5 5 na
 
 $$$$
-1q4l_chainB
+6lvl_chainB
      RDKit          3D
 
- 14 14  0  0  0  0  0  0  0  0999 V2000
-    0.8888   16.3707   42.4658 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2325   16.0519   42.0827 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9611   16.8410   41.9688 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6049   14.7196   41.8553 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6158   14.4797   41.5602 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6409   13.6864   42.0163 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2840   13.9546   42.4120 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0659   15.3332   42.6297 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0746   15.5834   42.9235 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2378   12.1396   41.6931 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6538   12.9786   42.5767 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1162   12.8337   43.7448 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9848   12.2004   41.6392 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4748   17.6766   42.6690 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  8  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6 10  1  0
-  7  8  2  0
-  7 11  1  0
-  8  9  1  0
+ 23 23  0  0  0  0  0  0  0  0999 V2000
+    2.4235   14.7716   42.1512 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3891   14.0974   42.9942 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7817   14.2877   40.9097 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0265   13.2438   40.7805 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1081   16.1041   42.3340 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8373   16.4563   43.3184 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8236   15.1483   39.8397 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1021   14.7922   38.8589 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1337   16.9936   41.2760 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5041   16.4742   40.0398 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1896   17.0913   37.5415 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1322   17.1476   38.0860 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1869   16.2025   36.9107 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0759   17.9789   36.9192 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0545   17.0157   38.5153 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1590   16.1275   39.1385 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0480   17.9040   39.1470 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2033   16.9408   37.7387 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0961   17.5119   36.9126 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3831   18.8631   38.9388 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7649   16.9709   37.8657 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5990   17.4706   38.5731 S   0  0  0  0  0  6  0  0  0  0  0  0
+    1.8215   18.3629   41.4665 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  5  1  0
+  3  4  1  0
+  3  7  1  0
+  5  6  1  0
+  5  9  2  0
+  7  8  1  0
+  7 10  2  0
+  9 10  1  0
+ 10 22  1  0
  11 12  1  0
- 11 13  2  0
-  1 14  1  0
-M  CHG  1  12  -1
-V   14 *
+ 11 13  1  0
+ 11 14  1  0
+ 11 15  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 18 19  1  0
+ 18 22  1  0
+ 20 22  2  0
+ 21 22  2  0
+  9 23  1  0
+V   23 *
 M  END
->  <kinase>  (57) 
-GSK3B
+>  <kinase>  (87) 
+FGFR2
 
->  <family>  (57) 
-GSK
+>  <family>  (87) 
+FGFR
 
->  <group>  (57) 
-CMGC
+>  <group>  (87) 
+TK
 
->  <complex_pdb>  (57) 
-1q4l
+>  <complex_pdb>  (87) 
+6lvl
 
->  <ligand_pdb>  (57) 
-679
+>  <ligand_pdb>  (87) 
+EVL
 
->  <alt>  (57) 
+>  <alt>  (87) 
  
 
->  <chain>  (57) 
+>  <chain>  (87) 
 B
 
->  <atom.prop.subpocket>  (57) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+>  <atom.prop.subpocket>  (87) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (57) 
-16 16 16 16 16 16 16 16 16 16 6 6 6 na
+>  <atom.prop.environment>  (87) 
+12 12 12 12 12 12 12 12 16 12 4 4 4 4 4 4 4 5 5 12 12 12 na
+
+$$$$
+5jkg_chainA
+     RDKit          3D
+
+ 18 18  0  0  0  0  0  0  0  0999 V2000
+    1.9073   14.9288   41.4373 C   0  0  1  0  0  0  0  0  0  0  0  0
+    1.9361   15.0609   42.5189 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4701   14.5096   41.0673 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8246   13.8657   40.9337 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7383   13.7951   39.8494 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5542   12.9099   41.3827 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8514   14.1151   41.2010 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1030   14.7051   39.7643 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3505   13.8949   42.0322 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1277   13.7104   40.4940 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3135   16.1355   40.8626 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4022   14.2915   39.5330 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8395   14.4409   38.5568 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6495   13.5008   41.7296 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2665   13.0311   42.4813 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8310   15.4665   38.4880 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    0.3132   13.6384   43.6363 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    1.8738   17.3758   41.4710 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  1
+  1  3  1  0
+  1  4  1  0
+  1 11  1  0
+  3  8  2  0
+  3  9  1  0
+  4  5  1  0
+  4  6  1  0
+  4  7  1  0
+  8 12  1  0
+  8 16  1  0
+  9 14  2  0
+  9 17  1  0
+ 10 12  2  0
+ 10 14  1  0
+ 12 13  1  0
+ 14 15  1  0
+ 18 11  1  0
+V   18 *
+M  END
+>  <kinase>  (88) 
+FGFR4
+
+>  <family>  (88) 
+FGFR
+
+>  <group>  (88) 
+TK
+
+>  <complex_pdb>  (88) 
+5jkg
+
+>  <ligand_pdb>  (88) 
+6LF
+
+>  <alt>  (88) 
+ 
+
+>  <chain>  (88) 
+A
+
+>  <atom.prop.subpocket>  (88) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (88) 
+4 4 16 4 4 4 4 16 16 16 3 16 16 16 16 16 16 na
 
 $$$$
 3gb2_altA_chainA
@@ -3877,7 +6029,7 @@ $$$$
 
  17 17  0  0  0  0  0  0  0  0999 V2000
    -2.1170   12.1141   44.5808 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7484   12.2056   43.9785 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7484   12.2056   43.9785 S   0  0  0  0  0  4  0  0  0  0  0  0
    -0.6951   11.2387   42.4561 C   0  0  0  0  0  0  0  0  0  0  0  0
    -0.8651   10.1872   42.6874 H   0  0  0  0  0  0  0  0  0  0  0  0
     0.2818   11.3541   41.9865 H   0  0  0  0  0  0  0  0  0  0  0  0
@@ -3912,31 +6064,31 @@ $$$$
  14 17  1  0
 V   17 *
 M  END
->  <kinase>  (58) 
+>  <kinase>  (89) 
 GSK3B
 
->  <family>  (58) 
+>  <family>  (89) 
 GSK
 
->  <group>  (58) 
+>  <group>  (89) 
 CMGC
 
->  <complex_pdb>  (58) 
+>  <complex_pdb>  (89) 
 3gb2
 
->  <ligand_pdb>  (58) 
+>  <ligand_pdb>  (89) 
 G3B
 
->  <alt>  (58) 
+>  <alt>  (89) 
 A
 
->  <chain>  (58) 
+>  <chain>  (89) 
 A
 
->  <atom.prop.subpocket>  (58) 
+>  <atom.prop.subpocket>  (89) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (58) 
+>  <atom.prop.environment>  (89) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -3974,34 +6126,34 @@ $$$$
  12 13  1  0
  12 14  1  0
  12 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   16 *
 M  END
->  <kinase>  (59) 
+>  <kinase>  (90) 
 GSK3B
 
->  <family>  (59) 
+>  <family>  (90) 
 GSK
 
->  <group>  (59) 
+>  <group>  (90) 
 CMGC
 
->  <complex_pdb>  (59) 
+>  <complex_pdb>  (90) 
 3say
 
->  <ligand_pdb>  (59) 
+>  <ligand_pdb>  (90) 
 OFT
 
->  <alt>  (59) 
+>  <alt>  (90) 
 A
 
->  <chain>  (59) 
+>  <chain>  (90) 
 B
 
->  <atom.prop.subpocket>  (59) 
+>  <atom.prop.subpocket>  (90) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (59) 
+>  <atom.prop.environment>  (90) 
 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 na
 
 $$$$
@@ -4037,104 +6189,37 @@ $$$$
   7 13  1  0
   9 10  1  0
  10 11  2  0
- 11 12  1  0
- 13 14  1  0
- 10 15  1  0
-V   15 *
-M  END
->  <kinase>  (60) 
-GSK3B
-
->  <family>  (60) 
-GSK
-
->  <group>  (60) 
-CMGC
-
->  <complex_pdb>  (60) 
-3zrk
-
->  <ligand_pdb>  (60) 
-ZRK
-
->  <alt>  (60) 
-A
-
->  <chain>  (60) 
-B
-
->  <atom.prop.subpocket>  (60) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
-
->  <atom.prop.environment>  (60) 
-14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
-
-$$$$
-4j1r_chainB
-     RDKit          3D
-
- 16 17  0  0  0  0  0  0  0  0999 V2000
-    3.6726   18.3368   38.6324 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.8834   17.0928   39.0301 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6987   16.4349   40.1982 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2992   16.9629   41.0514 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0194   15.0797   40.3123 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.8604   14.5591   41.2451 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.5448   14.4070   39.2152 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.8099   13.3621   39.2806 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.7200   15.1144   38.0320 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1235   14.6163   37.1628 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.3899   16.4152   37.9640 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.4789   17.2693   36.9529 N   0  0  0  0  0  0  0  0  0  0  0  0
-    4.8268   17.0511   36.0301 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0341   18.4656   37.3517 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9778   19.3634   36.7541 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1039   19.5795   39.3697 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1 14  2  0
-  2  3  2  0
-  2 11  1  0
-  3  4  1  0
-  3  5  1  0
-  5  6  1  0
-  5  7  2  0
-  7  8  1  0
-  7  9  1  0
-  9 10  1  0
-  9 11  2  0
- 11 12  1  0
- 12 13  1  0
- 12 14  1  0
- 14 15  1  0
-  1 16  1  0
-V   16 *
+ 11 12  1  0
+ 13 14  1  0
+ 10 15  1  0
+V   15 *
 M  END
->  <kinase>  (61) 
+>  <kinase>  (91) 
 GSK3B
 
->  <family>  (61) 
+>  <family>  (91) 
 GSK
 
->  <group>  (61) 
+>  <group>  (91) 
 CMGC
 
->  <complex_pdb>  (61) 
-4j1r
+>  <complex_pdb>  (91) 
+3zrk
 
->  <ligand_pdb>  (61) 
-I5R
+>  <ligand_pdb>  (91) 
+ZRK
 
->  <alt>  (61) 
- 
+>  <alt>  (91) 
+A
 
->  <chain>  (61) 
+>  <chain>  (91) 
 B
 
->  <atom.prop.subpocket>  (61) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+>  <atom.prop.subpocket>  (91) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (61) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (91) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
 5f94_altB_chainA
@@ -4174,36 +6259,341 @@ $$$$
  13 14  1  0
  13 15  1  0
  13 16  1  0
-  1 17  1  0
+ 17  1  1  0
 V   17 *
 M  END
->  <kinase>  (62) 
+>  <kinase>  (92) 
 GSK3B
 
->  <family>  (62) 
+>  <family>  (92) 
 GSK
 
->  <group>  (62) 
+>  <group>  (92) 
 CMGC
 
->  <complex_pdb>  (62) 
+>  <complex_pdb>  (92) 
 5f94
 
->  <ligand_pdb>  (62) 
+>  <ligand_pdb>  (92) 
 3UO
 
->  <alt>  (62) 
+>  <alt>  (92) 
 B
 
->  <chain>  (62) 
+>  <chain>  (92) 
 A
 
->  <atom.prop.subpocket>  (62) 
+>  <atom.prop.subpocket>  (92) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (62) 
+>  <atom.prop.environment>  (92) 
 5 5 16 16 16 16 16 16 16 16 16 3 3 3 3 3 na
 
+$$$$
+5f95_chainB
+     RDKit          3D
+
+ 23 24  0  0  0  0  0  0  0  0999 V2000
+    2.2636   18.0150   39.4857 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1107   17.4124   40.2817 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8264   17.4140   38.3365 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5307   18.1141   37.3616 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5660   19.1903   37.4447 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1658   17.5513   36.3311 N   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1142   16.2213   36.2478 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6316   15.7429   35.4294 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4387   15.4203   37.1456 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4337   14.3469   37.0265 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7630   16.0171   38.2082 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9972   15.1613   39.1523 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6276   15.3515   39.3425 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1227   16.1512   38.8209 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0919   14.5276   40.1919 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1525   14.6828   40.3236 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5468   13.5056   40.8721 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0145   12.8610   41.5323 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9059   13.3120   40.7040 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4070   12.5200   41.2407 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6254   14.1289   39.8511 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6856   13.9664   39.7243 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9066   19.3179   39.6325 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  3  4  2  0
+  3 11  1  0
+  4  5  1  0
+  4  6  1  0
+  6  7  2  0
+  7  8  1  0
+  7  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 12 13  2  0
+ 12 21  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 15 16  1  0
+ 15 17  2  0
+ 17 18  1  0
+ 17 19  1  0
+ 19 20  1  0
+ 19 21  2  0
+ 21 22  1  0
+ 23  1  1  0
+V   23 *
+M  END
+>  <kinase>  (93) 
+GSK3B
+
+>  <family>  (93) 
+GSK
+
+>  <group>  (93) 
+CMGC
+
+>  <complex_pdb>  (93) 
+5f95
+
+>  <ligand_pdb>  (93) 
+3UP
+
+>  <alt>  (93) 
+ 
+
+>  <chain>  (93) 
+B
+
+>  <atom.prop.subpocket>  (93) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (93) 
+5 5 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+6y9r_altA_chainA
+     RDKit          3D
+
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+    2.8542   16.8825   38.5003 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4545   16.3394   39.3440 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7498   18.2672   38.4432 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2672   18.9016   37.3194 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1860   19.9755   37.2387 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9695   16.9291   36.3878 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4548   16.4161   35.5706 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4800   16.2023   37.4576 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8619   14.0210   38.3072 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5975   14.5476   39.2242 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8509   18.2326   36.3554 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6359   14.8544   37.4472 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6929   12.8034   38.6766 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9676   12.2626   37.7709 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1113   12.1504   39.3273 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.5958   13.1238   39.1964 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5566   13.6379   37.6133 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7793   13.1069   36.6879 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9872   14.5393   37.3870 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9715   12.9939   38.2699 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0886   19.0261   39.5320 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  8  1  0
+  3  4  1  0
+  4  5  1  0
+  4 11  2  0
+  6  7  1  0
+  6  8  2  0
+  6 11  1  0
+  8 12  1  0
+  9 10  1  0
+  9 12  1  0
+  9 13  1  0
+  9 17  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 16  1  0
+ 17 18  1  0
+ 17 19  1  0
+ 17 20  1  0
+  3 21  1  0
+V   21 *
+M  END
+>  <kinase>  (94) 
+GSK3B
+
+>  <family>  (94) 
+GSK
+
+>  <group>  (94) 
+CMGC
+
+>  <complex_pdb>  (94) 
+6y9r
+
+>  <ligand_pdb>  (94) 
+OH8
+
+>  <alt>  (94) 
+A
+
+>  <chain>  (94) 
+A
+
+>  <atom.prop.subpocket>  (94) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (94) 
+16 16 16 16 16 16 16 16 4 4 16 3 4 4 4 4 4 4 4 4 na
+
+$$$$
+7ncf_chainA
+     RDKit          3D
+
+ 24 24  0  0  0  0  0  0  0  0999 V2000
+    1.9253   11.3798   43.0930 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1187   11.5250   43.8116 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8593   11.7506   43.5154 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0247   10.3179   42.8679 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4219   13.5864   42.0780 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2699   14.0798   43.3944 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2839   13.3893   44.2247 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1002   15.4586   43.6424 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9965   15.8059   44.6597 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3153   11.5832   41.2026 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5089   11.7388   41.8986 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4369   10.5162   41.0161 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0996   12.0938   40.2640 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6068   12.1470   41.8058 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7728   11.9197   40.8058 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6958   12.3180   41.2273 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5519   12.4295   39.8681 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8893   10.8519   40.6202 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3601   14.5092   41.0181 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4524   14.1568   40.0014 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1790   15.8905   41.2614 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1279   16.5735   40.4263 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0635   16.3948   42.5804 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8541   17.7827   42.8177 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1 14  1  0
+  5  6  2  0
+  5 14  1  0
+  5 19  1  0
+  6  7  1  0
+  6  8  1  0
+  8  9  1  0
+  8 23  2  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 10 14  1  0
+ 14 15  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 19 20  1  0
+ 19 21  2  0
+ 21 22  1  0
+ 21 23  1  0
+ 23 24  1  0
+V   24 *
+M  END
+>  <kinase>  (95) 
+HIPK2
+
+>  <family>  (95) 
+DYRK
+
+>  <group>  (95) 
+CMGC
+
+>  <complex_pdb>  (95) 
+7ncf
+
+>  <ligand_pdb>  (95) 
+U82
+
+>  <alt>  (95) 
+ 
+
+>  <chain>  (95) 
+A
+
+>  <atom.prop.subpocket>  (95) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (95) 
+8 8 8 8 16 16 16 16 16 8 8 8 8 8 8 8 8 8 16 16 16 16 16 na
+
+$$$$
+7l24_altA_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    2.6955   17.8091   39.0484 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7119   16.9404   38.0783 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.7855   16.9753   37.9658 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9481   16.8329   38.3788 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2200   15.8568   37.9165 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2614   16.0293   38.1884 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0788   14.8590   38.2379 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1083   15.9389   36.8354 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0752   17.8602   38.8842 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7816   18.8013   39.5192 F   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9782   15.9700   37.4113 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4810   15.2593   36.7722 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6072   15.9102   37.5621 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0420   15.1476   37.0471 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6078   16.8319   38.5569 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0462   18.8057   39.9123 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  4  2  0
+  1  9  1  0
+  2  3  1  0
+  2  9  2  0
+  2 11  1  0
+  4 13  1  0
+  4 15  1  0
+  5  6  1  0
+  5  7  1  0
+  5  8  1  0
+  5 15  1  0
+  9 10  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 16  1  1  0
+V   16 *
+M  END
+>  <kinase>  (96) 
+HPK1
+
+>  <family>  (96) 
+STE20
+
+>  <group>  (96) 
+STE
+
+>  <complex_pdb>  (96) 
+7l24
+
+>  <ligand_pdb>  (96) 
+XHV
+
+>  <alt>  (96) 
+A
+
+>  <chain>  (96) 
+A
+
+>  <atom.prop.subpocket>  (96) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (96) 
+16 16 16 16 3 3 3 3 16 16 16 16 16 16 3 na
+
 $$$$
 3qqu_chainB
      RDKit          3D
@@ -4250,31 +6640,31 @@ $$$$
   1 19  1  0
 V   19 *
 M  END
->  <kinase>  (63) 
+>  <kinase>  (97) 
 IGF1R
 
->  <family>  (63) 
+>  <family>  (97) 
 InsR
 
->  <group>  (63) 
+>  <group>  (97) 
 TK
 
->  <complex_pdb>  (63) 
+>  <complex_pdb>  (97) 
 3qqu
 
->  <ligand_pdb>  (63) 
+>  <ligand_pdb>  (97) 
 01P
 
->  <alt>  (63) 
+>  <alt>  (97) 
  
 
->  <chain>  (63) 
+>  <chain>  (97) 
 B
 
->  <atom.prop.subpocket>  (63) 
+>  <atom.prop.subpocket>  (97) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (63) 
+>  <atom.prop.environment>  (97) 
 5 5 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -4312,36 +6702,108 @@ $$$$
   9 11  2  0
  11 12  1  0
  13 14  1  0
-  4 15  1  0
+ 15  4  1  0
 V   15 *
 M  END
->  <kinase>  (64) 
+>  <kinase>  (98) 
 IGF1R
 
->  <family>  (64) 
+>  <family>  (98) 
 InsR
 
->  <group>  (64) 
+>  <group>  (98) 
 TK
 
->  <complex_pdb>  (64) 
+>  <complex_pdb>  (98) 
 4d2r
 
->  <ligand_pdb>  (64) 
+>  <ligand_pdb>  (98) 
 DYK
 
->  <alt>  (64) 
+>  <alt>  (98) 
 A
 
->  <chain>  (64) 
+>  <chain>  (98) 
 A
 
->  <atom.prop.subpocket>  (64) 
+>  <atom.prop.subpocket>  (98) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (64) 
+>  <atom.prop.environment>  (98) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+3ekk_altA_chainA
+     RDKit          3D
+
+ 19 19  0  0  0  0  0  0  0  0999 V2000
+    3.0867   15.5789   37.6887 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9419   14.7512   36.9944 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0861   15.9934   37.5564 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3438   16.3520   37.4925 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9391   15.1026   39.0421 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7324   14.1283   39.2103 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0772   15.9633   40.1053 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4311   17.1359   40.0381 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8060   15.3515   41.4248 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0282   13.9992   41.5872 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4661   13.2578   40.5520 F   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8069   13.3958   42.8034 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9845   12.3383   42.9323 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3552   14.1632   43.8535 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1757   13.7047   44.8148 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1308   15.5115   43.6863 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7748   16.0961   44.5218 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3514   16.1309   42.4730 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1381   17.5119   42.2886 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  5  7  1  0
+  7  8  2  0
+  7  9  1  0
+  9 10  2  0
+  9 18  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 14 16  1  0
+ 16 17  1  0
+ 16 18  2  0
+ 18 19  1  0
+V   19 *
+M  END
+>  <kinase>  (99) 
+INSR
+
+>  <family>  (99) 
+InsR
+
+>  <group>  (99) 
+TK
+
+>  <complex_pdb>  (99) 
+3ekk
+
+>  <ligand_pdb>  (99) 
+GS2
+
+>  <alt>  (99) 
+A
+
+>  <chain>  (99) 
+A
+
+>  <atom.prop.subpocket>  (99) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (99) 
+5 5 5 5 5 5 1 1 16 16 16 16 16 16 16 16 16 16 na
+
 $$$$
 6n8g_altB_chainB
      RDKit          3D
@@ -4377,34 +6839,34 @@ $$$$
  11 12  1  0
  12 13  2  0
  13 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
->  <kinase>  (65) 
+>  <kinase>  (100) 
 IRAK4
 
->  <family>  (65) 
+>  <family>  (100) 
 IRAK
 
->  <group>  (65) 
+>  <group>  (100) 
 TKL
 
->  <complex_pdb>  (65) 
+>  <complex_pdb>  (100) 
 6n8g
 
->  <ligand_pdb>  (65) 
+>  <ligand_pdb>  (100) 
 KFD
 
->  <alt>  (65) 
+>  <alt>  (100) 
 B
 
->  <chain>  (65) 
+>  <chain>  (100) 
 B
 
->  <atom.prop.subpocket>  (65) 
+>  <atom.prop.subpocket>  (100) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (65) 
+>  <atom.prop.environment>  (100) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -4434,7 +6896,7 @@ $$$$
     6.3149   13.3216   35.2755 H   0  0  0  0  0  0  0  0  0  0  0  0
     4.8307   12.3520   35.1164 H   0  0  0  0  0  0  0  0  0  0  0  0
     4.7718   13.8165   36.6965 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0591   13.1563   37.4728 S   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0591   13.1563   37.4728 S   0  0  0  0  0  6  0  0  0  0  0  0
     2.0291   14.6601   39.7924 C   0  0  0  0  0  0  0  0  0  0  0  0
     2.3493   13.7635   40.3024 H   0  0  0  0  0  0  0  0  0  0  0  0
     1.8213   15.8465   40.5034 C   0  0  0  0  0  0  0  0  0  0  0  0
@@ -4472,113 +6934,39 @@ $$$$
  28 29  1  0
 V   29 *
 M  END
->  <kinase>  (66) 
+>  <kinase>  (101) 
 JAK2
 
->  <family>  (66) 
+>  <family>  (101) 
 JakA
 
->  <group>  (66) 
+>  <group>  (101) 
 TK
 
->  <complex_pdb>  (66) 
+>  <complex_pdb>  (101) 
 3e64
 
->  <ligand_pdb>  (66) 
+>  <ligand_pdb>  (101) 
 5B3
 
->  <alt>  (66) 
+>  <alt>  (101) 
 A
 
->  <chain>  (66) 
+>  <chain>  (101) 
 A
 
->  <atom.prop.subpocket>  (66) 
+>  <atom.prop.subpocket>  (101) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (66) 
-16 16 16 16 16 16 4 4 4 4 5 5 16 4 4 4 4 4 4 4 4 4 16 16 16 16 16 16 na
-
-$$$$
-3iok_altA_chainA
-     RDKit          3D
-
- 20 20  0  0  0  0  0  0  0  0999 V2000
-    2.5780   13.5997   39.3767 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2828   13.0174   39.9702 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1080   14.0871   38.5583 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8119   12.9390   38.9709 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9190   14.6622   40.2634 C   0  0  2  0  0  0  0  0  0  0  0  0
-    2.6762   15.3409   40.6559 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2595   14.0240   41.4205 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3226   13.0199   41.5091 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9397   15.4688   39.4317 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3423   15.0040   39.1578 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6699   14.0451   39.5315 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1951   15.7940   38.3952 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1950   15.4470   38.1799 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7742   17.0267   37.9064 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6105   17.7866   37.1689 F   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4955   17.4943   38.1850 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8189   18.4572   37.8181 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3473   16.7067   38.9433 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3449   17.0598   39.1590 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5533   14.7272   42.4001 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  4  1  0
-  1  5  1  0
-  5  6  1  1
-  5  7  1  0
-  5  9  1  0
-  7  8  1  0
-  9 10  2  0
-  9 18  1  0
- 10 11  1  0
- 10 12  1  0
- 12 13  1  0
- 12 14  2  0
- 14 15  1  0
- 14 16  1  0
- 16 17  1  0
- 16 18  2  0
- 18 19  1  0
-  7 20  1  0
-V   20 *
-M  END
->  <kinase>  (67) 
-JAK2
-
->  <family>  (67) 
-JakA
-
->  <group>  (67) 
-TK
-
->  <complex_pdb>  (67) 
-3iok
-
->  <ligand_pdb>  (67) 
-1P6
-
->  <alt>  (67) 
-A
-
->  <chain>  (67) 
-A
-
->  <atom.prop.subpocket>  (67) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP SE
-
->  <atom.prop.environment>  (67) 
-8 8 8 8 8 8 5 5 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (101) 
+12 12 12 12 12 12 4 4 4 4 5 5 12 4 4 4 4 4 4 4 4 4 12 12 12 12 12 16 na
 
 $$$$
 3lpb_altA_chainB
      RDKit          3D
 
  20 20  0  0  0  0  0  0  0  0999 V2000
-    2.9352   13.9389   38.0967 S   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9352   13.9389   38.0967 S   0  0  0  0  0  6  0  0  0  0  0  0
     3.0507   12.8591   39.0542 O   0  0  0  0  0  0  0  0  0  0  0  0
     4.0721   14.3433   37.3001 O   0  0  0  0  0  0  0  0  0  0  0  0
     1.6685   13.6546   37.1227 N   0  0  0  0  0  0  0  0  0  0  0  0
@@ -4620,32 +7008,32 @@ $$$$
  15 20  1  0
 V   20 *
 M  END
->  <kinase>  (68) 
+>  <kinase>  (102) 
 JAK2
 
->  <family>  (68) 
+>  <family>  (102) 
 JakA
 
->  <group>  (68) 
+>  <group>  (102) 
 TK
 
->  <complex_pdb>  (68) 
+>  <complex_pdb>  (102) 
 3lpb
 
->  <ligand_pdb>  (68) 
+>  <ligand_pdb>  (102) 
 NVB
 
->  <alt>  (68) 
+>  <alt>  (102) 
 A
 
->  <chain>  (68) 
+>  <chain>  (102) 
 B
 
->  <atom.prop.subpocket>  (68) 
+>  <atom.prop.subpocket>  (102) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (68) 
-16 16 16 5 5 5 5 5 5 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (102) 
+12 12 12 5 5 5 5 5 5 12 12 12 12 12 16 12 12 12 12 na
 
 $$$$
 3tjc_chainA
@@ -4702,34 +7090,34 @@ $$$$
  20 21  1  0
  20 22  2  0
  23 24  1  0
- 19 25  1  0
+ 25 19  1  0
 V   25 *
 M  END
->  <kinase>  (69) 
+>  <kinase>  (103) 
 JAK2
 
->  <family>  (69) 
+>  <family>  (103) 
 JakA
 
->  <group>  (69) 
+>  <group>  (103) 
 TK
 
->  <complex_pdb>  (69) 
+>  <complex_pdb>  (103) 
 3tjc
 
->  <ligand_pdb>  (69) 
+>  <ligand_pdb>  (103) 
 0TP
 
->  <alt>  (69) 
+>  <alt>  (103) 
  
 
->  <chain>  (69) 
+>  <chain>  (103) 
 A
 
->  <atom.prop.subpocket>  (69) 
+>  <atom.prop.subpocket>  (103) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (69) 
+>  <atom.prop.environment>  (103) 
 5 5 5 5 16 16 5 5 5 5 5 5 5 16 16 5 5 5 16 16 16 16 16 16 na
 
 $$$$
@@ -4738,7 +7126,7 @@ $$$$
 
  18 18  0  0  0  0  0  0  0  0999 V2000
     2.5050   12.7026   39.1122 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4700   13.8245   38.1435 S   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4700   13.8245   38.1435 S   0  0  0  0  0  6  0  0  0  0  0  0
     3.6443   14.0292   37.2864 O   0  0  0  0  0  0  0  0  0  0  0  0
     0.9980   13.5700   37.0674 C   0  0  0  0  0  0  0  0  0  0  0  0
     1.1259   12.6561   36.4871 H   0  0  0  0  0  0  0  0  0  0  0  0
@@ -4775,31 +7163,31 @@ $$$$
  17 18  1  0
 V   18 *
 M  END
->  <kinase>  (70) 
+>  <kinase>  (104) 
 JAK2
 
->  <family>  (70) 
+>  <family>  (104) 
 JakA
 
->  <group>  (70) 
+>  <group>  (104) 
 TK
 
->  <complex_pdb>  (70) 
+>  <complex_pdb>  (104) 
 4aqc
 
->  <ligand_pdb>  (70) 
+>  <ligand_pdb>  (104) 
 88A
 
->  <alt>  (70) 
+>  <alt>  (104) 
 B
 
->  <chain>  (70) 
+>  <chain>  (104) 
 B
 
->  <atom.prop.subpocket>  (70) 
+>  <atom.prop.subpocket>  (104) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (70) 
+>  <atom.prop.environment>  (104) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -4832,35 +7220,35 @@ $$$$
   6 11  1  0
   9 10  1  0
  11 12  1  0
-  9 13  1  0
+ 13  9  1  0
 V   13 *
 M  END
->  <kinase>  (71) 
+>  <kinase>  (105) 
 JAK2-b
 
->  <family>  (71) 
+>  <family>  (105) 
 JakB
 
->  <group>  (71) 
+>  <group>  (105) 
 TK
 
->  <complex_pdb>  (71) 
+>  <complex_pdb>  (105) 
 5ut6
 
->  <ligand_pdb>  (71) 
+>  <ligand_pdb>  (105) 
 8MY
 
->  <alt>  (71) 
+>  <alt>  (105) 
 A
 
->  <chain>  (71) 
+>  <chain>  (105) 
 A
 
->  <atom.prop.subpocket>  (71) 
+>  <atom.prop.subpocket>  (105) 
 FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (71) 
-9 9 9 9 9 8 8 8 9 9 3 3 na
+>  <atom.prop.environment>  (105) 
+14 14 14 14 14 4 4 4 9 14 3 3 na
 
 $$$$
 6m9h_altB_chainA
@@ -4898,101 +7286,239 @@ $$$$
   9 11  1  0
   9 14  1  0
  14 15  1  0
- 12 16  1  0
+ 16 12  1  0
 V   16 *
 M  END
->  <kinase>  (72) 
+>  <kinase>  (106) 
 JAK2-b
 
->  <family>  (72) 
+>  <family>  (106) 
 JakB
 
->  <group>  (72) 
+>  <group>  (106) 
 TK
 
->  <complex_pdb>  (72) 
+>  <complex_pdb>  (106) 
 6m9h
 
->  <ligand_pdb>  (72) 
+>  <ligand_pdb>  (106) 
 J9D
 
->  <alt>  (72) 
+>  <alt>  (106) 
 B
 
->  <chain>  (72) 
+>  <chain>  (106) 
 A
 
->  <atom.prop.subpocket>  (72) 
+>  <atom.prop.subpocket>  (106) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (72) 
-9 9 9 9 9 8 8 8 8 8 8 9 9 3 3 na
+>  <atom.prop.environment>  (106) 
+14 14 14 14 14 8 4 4 4 4 4 9 14 3 3 na
 
 $$$$
-3elj_altB_chainA
+4hvg_chainA
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    2.0374   16.4517   40.3840 O   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1575   15.6550   40.0902 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7760   15.3073   38.8205 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2366   15.7224   38.0233 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0342   14.6359   38.6821 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3986   14.9737   41.1413 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0331   13.6560   40.9561 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.3624   13.0023   39.8268 F   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6784   12.9985   41.9305 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9708   11.9682   41.7910 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0151   13.6668   43.0872 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5734   13.1588   43.8596 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6412   14.9820   43.2612 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9097   15.4910   44.1751 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0687   15.6624   42.2932 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4556   17.0065   42.4651 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 20 19  0  0  0  0  0  0  0  0999 V2000
+    1.6337   17.6466   39.9816 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1042   17.3246   40.7791 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1012   16.6532   39.0181 C   0  0  1  0  0  0  0  0  0  0  0  0
+    2.8195   17.0755   38.3153 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8175   15.5030   39.7549 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1333   15.0489   40.4717 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6877   15.8949   40.2813 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1376   14.7522   39.0324 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8335   16.1431   38.2610 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2963   15.6884   39.2103 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5859   16.5188   39.8544 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0560   14.8589   39.8233 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1566   15.3667   38.6234 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2147   17.2704   37.4489 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0754   18.0820   38.1162 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6656   16.8993   36.9240 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9416   17.6378   36.7245 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2297   15.0473   37.3968 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6127   14.3639   37.9517 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8702   18.9753   39.8659 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  3  4  1  6
+  3  5  1  0
+  3  9  1  0
+  5  6  1  0
+  5  7  1  0
+  5  8  1  0
+  9 10  1  0
+  9 14  1  0
+  9 18  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18 19  1  0
+ 20  1  1  0
+V   20 *
+M  END
+>  <kinase>  (107) 
+JAK3
+
+>  <family>  (107) 
+JakA
+
+>  <group>  (107) 
+TK
+
+>  <complex_pdb>  (107) 
+4hvg
+
+>  <ligand_pdb>  (107) 
+19Q
+
+>  <alt>  (107) 
+ 
+
+>  <chain>  (107) 
+A
+
+>  <atom.prop.subpocket>  (107) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (107) 
+5 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 na
+
+$$$$
+4hvh_chainA
+     RDKit          3D
+
+ 20 19  0  0  0  0  0  0  0  0999 V2000
+    1.1493   17.8120   39.4380 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6190   17.4016   40.1934 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5039   16.9542   38.2958 C   0  0  1  0  0  0  0  0  0  0  0  0
+    2.4208   17.3076   37.8242 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7465   15.5079   38.7707 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8226   14.5561   37.5672 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6286   14.8716   36.9048 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8770   14.5791   37.0254 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0160   13.5422   37.9175 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0547   15.4302   39.5673 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8851   15.7412   38.9335 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2165   14.4053   39.9012 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9922   16.0889   40.4335 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6919   15.0939   39.6359 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1276   15.1421   39.1383 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3382   17.0017   37.2956 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5711   16.6460   37.7802 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5669   16.3655   36.4406 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1919   18.0272   36.9565 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4906   19.1151   39.5364 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  3  4  1  6
+  3  5  1  0
+  3 16  1  0
+  5  6  1  0
+  5 10  1  0
+  5 14  1  0
+  6  7  1  0
+  6  8  1  0
+  6  9  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 14 15  1  0
+ 16 17  1  0
+ 16 18  1  0
+ 16 19  1  0
+ 20  1  1  0
+V   20 *
+M  END
+>  <kinase>  (108) 
+JAK3
+
+>  <family>  (108) 
+JakA
+
+>  <group>  (108) 
+TK
+
+>  <complex_pdb>  (108) 
+4hvh
+
+>  <ligand_pdb>  (108) 
+19R
+
+>  <alt>  (108) 
+ 
+
+>  <chain>  (108) 
+A
+
+>  <atom.prop.subpocket>  (108) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (108) 
+5 5 4 4 4 4 4 4 4 4 4 4 4 3 3 4 4 4 4 na
+
+$$$$
+7uyv_altA_chainA
+     RDKit          3D
+
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    1.4822   16.0980   39.5092 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5224   15.2094   39.8149 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1814   14.1087   37.6939 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4538   13.3343   36.9921 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4785   17.0631   37.8631 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    0.8043   15.9779   38.2878 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1576   14.9844   37.3891 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6322   14.8945   36.4498 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8604   14.2200   38.8967 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6606   13.5313   39.1240 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1817   15.3114   40.9896 F   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0875   17.1695   40.4437 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
-  2  3  1  0
-  2  6  1  0
+  1  6  1  0
+  2  9  1  0
+  2 11  1  0
   3  4  1  0
-  3  5  1  0
+  3  7  1  0
+  3  9  2  0
+  5  6  1  0
   6  7  2  0
-  6 15  1  0
   7  8  1  0
-  7  9  1  0
   9 10  1  0
-  9 11  2  0
- 11 12  1  0
- 11 13  1  0
- 13 14  1  0
- 13 15  2  0
- 15 16  1  0
-V   16 *
+ 12  1  1  0
+V   12 *
 M  END
->  <kinase>  (73) 
-JNK1
+>  <kinase>  (109) 
+JAK3
 
->  <family>  (73) 
-MAPK
+>  <family>  (109) 
+JakA
 
->  <group>  (73) 
-CMGC
+>  <group>  (109) 
+TK
 
->  <complex_pdb>  (73) 
-3elj
+>  <complex_pdb>  (109) 
+7uyv
 
->  <ligand_pdb>  (73) 
-GS7
+>  <ligand_pdb>  (109) 
+OV5
 
->  <alt>  (73) 
-B
+>  <alt>  (109) 
+A
 
->  <chain>  (73) 
+>  <chain>  (109) 
 A
 
->  <atom.prop.subpocket>  (73) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+>  <atom.prop.subpocket>  (109) 
+FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (73) 
-6 6 5 5 5 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (109) 
+16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 4hys_chainA
@@ -5029,174 +7555,243 @@ $$$$
  11 12  1  0
  11 13  2  0
  13 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
->  <kinase>  (74) 
+>  <kinase>  (110) 
 JNK1
 
->  <family>  (74) 
+>  <family>  (110) 
 MAPK
 
->  <group>  (74) 
+>  <group>  (110) 
 CMGC
 
->  <complex_pdb>  (74) 
+>  <complex_pdb>  (110) 
 4hys
 
->  <ligand_pdb>  (74) 
+>  <ligand_pdb>  (110) 
 1BJ
 
->  <alt>  (74) 
+>  <alt>  (110) 
  
 
->  <chain>  (74) 
+>  <chain>  (110) 
 A
 
->  <atom.prop.subpocket>  (74) 
+>  <atom.prop.subpocket>  (110) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (74) 
+>  <atom.prop.environment>  (110) 
 9 9 9 9 9 9 9 9 9 9 9 9 9 9 na
 
 $$$$
-3cgf_chainA
+4hyu_chainA
      RDKit          3D
 
- 23 23  0  0  0  0  0  0  0  0999 V2000
-    3.0903   14.1613   40.0889 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9831   14.7823   40.1630 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6310   14.3007   39.1102 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.3645   13.1141   40.2157 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1335   14.5494   41.1402 N   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8694   13.7449   41.1154 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1869   12.7651   40.7587 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2221   14.1978   40.1099 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1901   14.1638   39.1014 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5192   15.2194   40.3467 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4669   13.2865   40.1732 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1747   12.2723   39.9010 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.2082   13.6538   39.4636 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0945   13.2626   41.5807 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.9088   12.5380   41.5903 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.4875   14.2537   41.8073 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0745   12.8756   42.6606 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8482   11.8139   42.5616 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5155   13.0632   43.6396 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2519   13.6787   42.5510 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0577   14.6987   42.8826 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9835   13.2147   43.2124 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9959   16.0054   41.2507 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    2.1606   18.1359   42.0087 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9624   18.6263   40.9790 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7007   17.6878   40.4839 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4243   17.7997   39.6900 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4036   16.7791   42.1409 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3842   16.4565   41.1849 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8744   15.1468   41.0472 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3673   14.1430   41.8577 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7160   13.1265   41.7509 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3972   14.4622   42.8173 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0140   13.6843   43.4610 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9189   15.7573   42.9572 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1675   15.9752   43.7018 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7962   14.9591   40.0640 O   0  0  0  0  0  0  0  0  0  0  0  0
+    5.7812   13.9534   40.3041 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2553   18.9337   42.7158 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  1  0
-  1  4  1  0
   1  5  1  0
-  5  6  1  0
+  2  3  2  0
+  3  4  1  0
+  3  6  1  0
+  5  6  2  0
+  5 12  1  0
   6  7  1  0
-  6  8  1  0
-  6 20  1  0
+  7  8  2  0
+  7 14  1  0
   8  9  1  0
   8 10  1  0
-  8 11  1  0
- 11 12  1  0
- 11 13  1  0
- 11 14  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
  14 15  1  0
- 14 16  1  0
- 14 17  1  0
- 17 18  1  0
- 17 19  1  0
- 17 20  1  0
- 20 21  1  0
- 20 22  1  0
-  5 23  1  0
-V   23 *
+ 16  1  1  0
+V   15 *
+V   16 *
 M  END
->  <kinase>  (75) 
-JNK3
+>  <kinase>  (111) 
+JNK1
 
->  <family>  (75) 
+>  <family>  (111) 
 MAPK
 
->  <group>  (75) 
+>  <group>  (111) 
 CMGC
 
->  <complex_pdb>  (75) 
-3cgf
+>  <complex_pdb>  (111) 
+4hyu
 
->  <ligand_pdb>  (75) 
-JNF
+>  <ligand_pdb>  (111) 
+1BK
 
->  <alt>  (75) 
+>  <alt>  (111) 
  
 
->  <chain>  (75) 
+>  <chain>  (111) 
 A
 
->  <atom.prop.subpocket>  (75) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP GA
+>  <atom.prop.subpocket>  (111) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP X-B2 AP
 
->  <atom.prop.environment>  (75) 
-5 5 5 5 5 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 na
+>  <atom.prop.environment>  (111) 
+9 16 16 16 16 16 16 16 16 16 16 16 16 3 na na
 
 $$$$
-3da6_chainA
+3kvx_altB_chainA
      RDKit          3D
 
- 12 12  0  0  0  0  0  0  0  0999 V2000
-    0.4612   16.6018   43.3420 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4262   15.4523   44.1523 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1438   15.4253   45.0692 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9136   14.4157   42.5611 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4657   13.5492   42.2281 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2706   16.5698   42.2216 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1646   14.3436   43.7159 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1466   13.4277   44.2878 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9648   15.5524   41.8440 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3738   17.6712   41.5157 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1275   17.9331   40.4036 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2169   17.7068   43.8114 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  6  1  0
-  2  3  1  0
-  2  7  1  0
-  4  5  1  0
-  4  7  2  0
-  4  9  1  0
-  6  9  2  0
-  6 10  1  0
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    1.2524   16.9382   41.4748 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5588   16.7436   42.2794 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6752   18.4442   40.1727 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1018   19.4302   40.0618 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6743   15.9306   40.5657 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3469   14.9196   40.7584 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9959   17.4548   39.2587 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6329   17.6850   38.4176 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2619   13.9776   38.6779 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6430   13.6009   39.4789 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7262   13.2906   37.5985 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5540   15.3838   37.4159 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7973   18.1816   41.2489 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4928   16.1461   39.4228 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5433   14.1266   36.8982 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7289   15.1984   38.5356 N   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1165   13.7418   35.6863 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5403   19.1865   42.0708 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  5  2  0
+  1 13  1  0
+  3  4  1  0
+  3  7  1  0
+  3 13  2  0
+  5  6  1  0
+  5 14  1  0
   7  8  1  0
+  7 14  2  0
+  9 10  1  0
+  9 11  2  0
+  9 16  1  0
+ 11 15  1  0
+ 12 15  2  0
+ 12 16  1  0
+ 14 16  1  0
+ 15 17  1  0
+ 18 13  1  0
+V   17 *
+V   18 *
+M  END
+>  <kinase>  (112) 
+JNK3
+
+>  <family>  (112) 
+MAPK
+
+>  <group>  (112) 
+CMGC
+
+>  <complex_pdb>  (112) 
+3kvx
+
+>  <ligand_pdb>  (112) 
+FMY
+
+>  <alt>  (112) 
+B
+
+>  <chain>  (112) 
+A
+
+>  <atom.prop.subpocket>  (112) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP X-B2 AP
+
+>  <atom.prop.environment>  (112) 
+16 16 16 16 16 16 16 16 14 14 14 14 16 16 14 9 na na
+
+$$$$
+4kkh_chainA
+     RDKit          3D
+
+ 16 17  0  0  0  0  0  0  0  0999 V2000
+    0.5774   17.4321   42.7187 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1040   16.1801   42.5093 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9795   15.5250   42.9804 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6504   16.0276   43.6613 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2458   14.2047   42.5994 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3391   13.5360   43.0742 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4335   12.6352   42.7562 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3696   13.5702   41.7205 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5378   12.5519   41.4025 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7297   14.2937   41.2666 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4283   13.8303   40.5857 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9332   15.5612   41.6645 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9023   16.4126   41.3454 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6966   17.5511   41.9793 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0444   18.3438   43.4848 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5279   18.6045   41.9011 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1 14  1  0
+  2  3  2  0
+  2 12  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  1  0
+  5  8  2  0
+  6  7  1  0
+  8  9  1  0
+  8 10  1  0
  10 11  1  0
-  1 12  1  0
-V   11 *
-V   12 *
+ 10 12  2  0
+ 12 13  1  0
+ 13 14  2  0
+ 15  1  1  0
+ 14 16  1  0
+V   15 *
+V   16 *
 M  END
->  <kinase>  (76) 
+>  <kinase>  (113) 
 JNK3
 
->  <family>  (76) 
+>  <family>  (113) 
 MAPK
 
->  <group>  (76) 
+>  <group>  (113) 
 CMGC
 
->  <complex_pdb>  (76) 
-3da6
+>  <complex_pdb>  (113) 
+4kkh
 
->  <ligand_pdb>  (76) 
-BZ9
+>  <ligand_pdb>  (113) 
+1RQ
 
->  <alt>  (76) 
+>  <alt>  (113) 
  
 
->  <chain>  (76) 
+>  <chain>  (113) 
 A
 
->  <atom.prop.subpocket>  (76) 
-FP FP FP FP FP FP FP FP FP FP GA AP
+>  <atom.prop.subpocket>  (113) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP GA
 
->  <atom.prop.environment>  (76) 
-16 16 16 16 16 16 16 16 16 3 na na
+>  <atom.prop.environment>  (113) 
+9 16 16 16 16 3 3 16 16 16 16 16 16 14 na na
 
 $$$$
 2ofu_chainA
@@ -5242,34 +7837,34 @@ $$$$
  16 17  1  0
  16 18  1  0
  16 19  1  0
-  1 20  1  0
+ 20  1  1  0
 V   20 *
 M  END
->  <kinase>  (77) 
+>  <kinase>  (114) 
 LCK
 
->  <family>  (77) 
+>  <family>  (114) 
 Src
 
->  <group>  (77) 
+>  <group>  (114) 
 TK
 
->  <complex_pdb>  (77) 
+>  <complex_pdb>  (114) 
 2ofu
 
->  <ligand_pdb>  (77) 
+>  <ligand_pdb>  (114) 
 1N9
 
->  <alt>  (77) 
+>  <alt>  (114) 
  
 
->  <chain>  (77) 
+>  <chain>  (114) 
 A
 
->  <atom.prop.subpocket>  (77) 
+>  <atom.prop.subpocket>  (114) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (77) 
+>  <atom.prop.environment>  (114) 
 16 16 16 16 16 16 16 16 16 3 3 3 3 3 3 3 3 3 3 na
 
 $$$$
@@ -5328,31 +7923,31 @@ $$$$
   1 24  1  0
 V   24 *
 M  END
->  <kinase>  (78) 
+>  <kinase>  (115) 
 LOK
 
->  <family>  (78) 
+>  <family>  (115) 
 STE20
 
->  <group>  (78) 
+>  <group>  (115) 
 STE
 
->  <complex_pdb>  (78) 
+>  <complex_pdb>  (115) 
 6hxf
 
->  <ligand_pdb>  (78) 
+>  <ligand_pdb>  (115) 
 R70
 
->  <alt>  (78) 
+>  <alt>  (115) 
 A
 
->  <chain>  (78) 
+>  <chain>  (115) 
 B
 
->  <atom.prop.subpocket>  (78) 
+>  <atom.prop.subpocket>  (115) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (78) 
+>  <atom.prop.environment>  (115) 
 16 16 16 16 16 16 16 16 16 16 6 16 16 16 16 16 16 16 16 16 16 16 6 na
 
 $$$$
@@ -5402,35 +7997,35 @@ $$$$
  17 18  1  0
  17 19  2  0
  19 20  1  0
-  1 21  1  0
+ 21  1  1  0
 V   21 *
 M  END
->  <kinase>  (79) 
+>  <kinase>  (116) 
 PDK1
 
->  <family>  (79) 
+>  <family>  (116) 
 PDK1
 
->  <group>  (79) 
+>  <group>  (116) 
 AGC
 
->  <complex_pdb>  (79) 
+>  <complex_pdb>  (116) 
 3rcj
 
->  <ligand_pdb>  (79) 
+>  <ligand_pdb>  (116) 
 3RC
 
->  <alt>  (79) 
+>  <alt>  (116) 
  
 
->  <chain>  (79) 
+>  <chain>  (116) 
 A
 
->  <atom.prop.subpocket>  (79) 
+>  <atom.prop.subpocket>  (116) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (79) 
-14 14 14 14 14 14 8 8 8 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (116) 
+14 9 9 9 9 9 8 8 8 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 5hkm_chainA
@@ -5472,34 +8067,34 @@ $$$$
  12 14  1  0
  15 16  1  0
  15 17  1  0
-  1 18  1  0
+ 18  1  1  0
 V   18 *
 M  END
->  <kinase>  (80) 
+>  <kinase>  (117) 
 PDK1
 
->  <family>  (80) 
+>  <family>  (117) 
 PDK1
 
->  <group>  (80) 
+>  <group>  (117) 
 AGC
 
->  <complex_pdb>  (80) 
+>  <complex_pdb>  (117) 
 5hkm
 
->  <ligand_pdb>  (80) 
+>  <ligand_pdb>  (117) 
 61Y
 
->  <alt>  (80) 
+>  <alt>  (117) 
  
 
->  <chain>  (80) 
+>  <chain>  (117) 
 A
 
->  <atom.prop.subpocket>  (80) 
+>  <atom.prop.subpocket>  (117) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (80) 
+>  <atom.prop.environment>  (117) 
 14 14 14 14 14 8 8 8 8 14 14 5 5 5 8 8 8 na
 
 $$$$
@@ -5537,89 +8132,163 @@ $$$$
  11 12  1  0
  11 13  1  0
  11 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
->  <kinase>  (81) 
+>  <kinase>  (118) 
 PIM1
 
->  <family>  (81) 
+>  <family>  (118) 
 PIM
 
->  <group>  (81) 
+>  <group>  (118) 
 CAMK
 
->  <complex_pdb>  (81) 
+>  <complex_pdb>  (118) 
 4gw8
 
->  <ligand_pdb>  (81) 
+>  <ligand_pdb>  (118) 
 3RA
 
->  <alt>  (81) 
+>  <alt>  (118) 
 B
 
->  <chain>  (81) 
+>  <chain>  (118) 
 A
 
->  <atom.prop.subpocket>  (81) 
+>  <atom.prop.subpocket>  (118) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP GA
 
->  <atom.prop.environment>  (81) 
+>  <atom.prop.environment>  (118) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-4wsy_chainA
+4wt6_chainA
      RDKit          3D
 
- 10 10  0  0  0  0  0  0  0  0999 V2000
-    2.3511   17.9984   39.6883 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0403   16.3630   39.7565 S   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0624   18.2556   38.5814 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.3672   19.2518   38.2968 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.3623   17.1647   37.8578 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8621   16.0531   38.3872 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9527   14.8468   37.8973 N   0  0  0  0  0  0  0  0  0  0  0  0
-    3.4435   14.6901   37.0286 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5319   14.0701   38.3869 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8325   18.8563   40.6302 *   0  0  0  0  0  0  0  0  0  0  0  0
+  9  9  0  0  0  0  0  0  0  0999 V2000
+    2.4810   18.1602   38.9920 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3251   16.4598   38.7986 S   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1188   18.6414   37.9017 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4713   17.7848   37.0646 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1330   16.5208   37.3717 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3691   15.4517   36.6443 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8490   15.5386   35.7598 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0706   14.5434   36.9697 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9635   18.8974   40.0450 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  2  0
-  2  6  1  0
+  2  5  1  0
   3  4  1  0
-  3  5  1  0
-  5  6  2  0
+  4  5  2  0
+  5  6  1  0
   6  7  1  0
-  7  8  1  0
-  7  9  1  0
-  1 10  1  0
-V   10 *
+  6  8  1  0
+  9  1  1  0
+V    9 *
 M  END
->  <kinase>  (82) 
+>  <kinase>  (119) 
 PIM1
 
->  <family>  (82) 
+>  <family>  (119) 
 PIM
 
->  <group>  (82) 
+>  <group>  (119) 
 CAMK
 
->  <complex_pdb>  (82) 
-4wsy
+>  <complex_pdb>  (119) 
+4wt6
+
+>  <ligand_pdb>  (119) 
+3U6
+
+>  <alt>  (119) 
+ 
+
+>  <chain>  (119) 
+A
+
+>  <atom.prop.subpocket>  (119) 
+FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (119) 
+14 14 14 14 14 5 5 5 na
+
+$$$$
+8bjt_chainA
+     RDKit          3D
+
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+    1.8191   16.4499   41.0208 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8879   15.7571   39.8868 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1990   14.4648   39.8531 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4965   13.8088   41.0479 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7894   12.7695   41.0302 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4183   14.4855   42.2654 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6221   13.9788   43.1971 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0713   15.8269   42.2439 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9967   16.3852   43.1653 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2887   13.7252   38.5184 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9522   12.2316   38.6256 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9210   12.1145   38.9589 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6221   11.7588   39.3438 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0745   11.7607   37.6502 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3862   14.3485   37.4410 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3468   14.3012   37.7658 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5008   13.7973   36.5077 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6713   15.3891   37.2857 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6365   13.7938   38.0828 O   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1831   13.4007   38.7671 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4424   17.7922   40.9883 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  2  3  1  0
+  3  4  2  0
+  3 10  1  0
+  4  5  1  0
+  4  6  1  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+ 10 11  1  0
+ 10 15  1  0
+ 10 19  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 19 20  1  0
+ 21  1  1  0
+V   21 *
+M  END
+>  <kinase>  (120) 
+PLK1
+
+>  <family>  (120) 
+PLK
+
+>  <group>  (120) 
+Other
+
+>  <complex_pdb>  (120) 
+8bjt
 
->  <ligand_pdb>  (82) 
-3U5
+>  <ligand_pdb>  (120) 
+8X7
 
->  <alt>  (82) 
+>  <alt>  (120) 
  
 
->  <chain>  (82) 
+>  <chain>  (120) 
 A
 
->  <atom.prop.subpocket>  (82) 
-FP FP FP FP FP FP FP FP FP AP
+>  <atom.prop.subpocket>  (120) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (82) 
-14 14 14 14 14 14 5 5 5 na
+>  <atom.prop.environment>  (120) 
+14 14 14 14 14 14 14 14 14 4 4 4 4 4 4 4 4 4 3 3 na
 
 $$$$
 6pk6_altA_chainA
@@ -5657,175 +8326,36 @@ $$$$
  12 13  1  0
  12 14  1  0
  12 15  1  0
-  3 16  1  0
+ 16  3  1  0
 V   15 *
 V   16 *
 M  END
->  <kinase>  (83) 
+>  <kinase>  (121) 
 PRP4
 
->  <family>  (83) 
+>  <family>  (121) 
 DYRK
 
->  <group>  (83) 
+>  <group>  (121) 
 CMGC
 
->  <complex_pdb>  (83) 
+>  <complex_pdb>  (121) 
 6pk6
 
->  <ligand_pdb>  (83) 
+>  <ligand_pdb>  (121) 
 OND
 
->  <alt>  (83) 
+>  <alt>  (121) 
 A
 
->  <chain>  (83) 
+>  <chain>  (121) 
 A
 
->  <atom.prop.subpocket>  (83) 
+>  <atom.prop.subpocket>  (121) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP X-FP AP
 
->  <atom.prop.environment>  (83) 
-5 5 14 14 14 14 14 14 14 6 6 8 8 8 na na
-
-$$$$
-5bml_chainB
-     RDKit          3D
-
- 19 19  0  0  0  0  0  0  0  0999 V2000
-    7.7306   14.5347   35.9703 C   0  0  0  0  0  0  0  0  0  0  0  0
-    8.4444   14.2149   37.1238 C   0  0  0  0  0  0  0  0  0  0  0  0
-    9.5203   14.1275   37.0915 H   0  0  0  0  0  0  0  0  0  0  0  0
-    7.7602   14.0095   38.3157 C   0  0  0  0  0  0  0  0  0  0  0  0
-    8.3092   13.7403   39.2059 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.3775   14.1462   38.3770 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.8564   13.9784   39.3080 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.6715   14.4987   37.2377 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.3447   14.6803   36.0275 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.7915   14.9338   35.1352 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.1701   14.6307   37.3017 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7873   13.9678   38.0776 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7464   14.3457   36.3388 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7641   16.0405   37.6177 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.1509   16.9487   36.9024 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9550   16.2638   38.6782 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6373   15.4717   39.2184 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5391   17.5429   39.0595 *   0  0  0  0  0  0  0  0  0  0  0  0
-    8.4059   14.8133   34.7814 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  9  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6  8  1  0
-  8  9  2  0
-  8 11  1  0
-  9 10  1  0
- 11 12  1  0
- 11 13  1  0
- 11 14  1  0
- 14 15  2  0
- 14 16  1  0
- 16 17  1  0
- 16 18  1  0
-  1 19  1  0
-V   18 *
-V   19 *
-M  END
->  <kinase>  (84) 
-ROCK1
-
->  <family>  (84) 
-DMPK
-
->  <group>  (84) 
-AGC
-
->  <complex_pdb>  (84) 
-5bml
-
->  <ligand_pdb>  (84) 
-4TW
-
->  <alt>  (84) 
- 
-
->  <chain>  (84) 
-B
-
->  <atom.prop.subpocket>  (84) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP GA X-B2
-
->  <atom.prop.environment>  (84) 
-16 16 16 16 16 16 16 16 16 16 8 8 8 8 8 5 5 na na
-
-$$$$
-4nw5_altA_chainA
-     RDKit          3D
-
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    1.9686   16.4174   42.9459 F   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8100   15.9859   41.6764 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0995   14.6710   41.4058 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4897   14.0225   42.1762 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8804   14.1937   40.1236 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1114   13.1659   39.8858 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3661   15.0294   39.1448 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.1970   14.6526   38.1469 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0674   16.3561   39.4487 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4439   17.2009   38.5762 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0062   16.6692   37.3273 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4692   17.4574   36.7435 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7095   15.8665   37.5049 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.8629   16.2773   36.7790 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3180   16.8824   40.7364 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0789   18.3303   41.0686 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  2  3  2  0
-  2 15  1  0
-  3  4  1  0
-  3  5  1  0
-  5  6  1  0
-  5  7  2  0
-  7  8  1  0
-  7  9  1  0
-  9 10  1  0
-  9 15  2  0
- 10 11  1  0
- 11 12  1  0
- 11 13  1  0
- 11 14  1  0
- 15 16  1  0
-V   16 *
-M  END
->  <kinase>  (85) 
-RSK2
-
->  <family>  (85) 
-RSK
-
->  <group>  (85) 
-AGC
-
->  <complex_pdb>  (85) 
-4nw5
-
->  <ligand_pdb>  (85) 
-2NR
-
->  <alt>  (85) 
-A
-
->  <chain>  (85) 
-A
-
->  <atom.prop.subpocket>  (85) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
-
->  <atom.prop.environment>  (85) 
-16 16 16 16 16 16 16 16 16 3 3 3 3 3 16 na
+>  <atom.prop.environment>  (121) 
+5 5 14 14 14 14 14 14 14 1 1 4 4 4 na na
 
 $$$$
 6hvd_altB_chainA
@@ -5863,105 +8393,171 @@ $$$$
  10 14  1  0
 V   14 *
 M  END
->  <kinase>  (86) 
+>  <kinase>  (122) 
 SLK
 
->  <family>  (86) 
+>  <family>  (122) 
 STE20
 
->  <group>  (86) 
+>  <group>  (122) 
 STE
 
->  <complex_pdb>  (86) 
+>  <complex_pdb>  (122) 
 6hvd
 
->  <ligand_pdb>  (86) 
+>  <ligand_pdb>  (122) 
 GUQ
 
->  <alt>  (86) 
+>  <alt>  (122) 
 B
 
->  <chain>  (86) 
+>  <chain>  (122) 
 A
 
->  <atom.prop.subpocket>  (86) 
+>  <atom.prop.subpocket>  (122) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (86) 
+>  <atom.prop.environment>  (122) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
-1xbb_altA_chainA
+3fqs_altA_chainA
      RDKit          3D
 
- 19 19  0  0  0  0  0  0  0  0999 V2000
-    1.1513   13.8358   43.1126 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0947   12.8717   43.4084 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8764   14.0419   42.0156 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2971   12.8834   41.1384 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.5669   12.9175   40.5528 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2199   13.7567   40.7417 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9988   11.8793   39.7276 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9801   11.9166   39.2781 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1582   10.7919   39.4849 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8814   10.7561   40.0643 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2279    9.9179   39.8728 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.4501   11.8010   40.8893 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4655   11.7705   41.3320 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6782    9.6952   38.5726 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.7616    9.6539   38.6849 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.4293    9.9686   37.5472 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2965   15.1497   41.7182 O   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1531    8.3569   38.8173 *   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4699   14.7206   43.9043 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 23 24  0  0  0  0  0  0  0  0999 V2000
+    4.0244   15.0224   38.7095 N   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2213   15.6465   37.9403 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5787   15.5219   39.9422 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1851   13.6805   38.5736 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1332   16.7646   40.0177 N   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0390   13.4059   41.0111 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8920   12.7591   39.7428 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5894   14.6909   41.0671 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6890   17.2828   41.1568 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.5549   13.2327   37.5096 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1370   15.1993   42.2857 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1376   14.5867   43.1751 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6856   16.5136   42.3264 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3343   16.9387   43.2551 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4734   12.1878   39.6154 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7503   13.0032   39.6341 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2785   11.5103   40.4467 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3838   11.6441   38.6749 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.8883   11.5910   39.7138 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9037   11.9772   39.8033 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7869   11.0503   38.7728 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6816   10.9164   40.5446 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2709   18.6174   41.1302 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  1  0
+  1  4  1  0
+  3  5  1  0
+  3  8  2  0
+  4  7  1  0
+  4 10  2  0
+  5  9  2  0
+  6  7  1  0
+  6  8  1  0
+  7 15  1  0
+  7 19  1  0
+  8 11  1  0
+  9 13  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 19 20  1  0
+ 19 21  1  0
+ 19 22  1  0
+ 23  9  1  0
+V   23 *
+M  END
+>  <kinase>  (123) 
+SYK
+
+>  <family>  (123) 
+Syk
+
+>  <group>  (123) 
+TK
+
+>  <complex_pdb>  (123) 
+3fqs
+
+>  <ligand_pdb>  (123) 
+585
+
+>  <alt>  (123) 
+A
+
+>  <chain>  (123) 
+A
+
+>  <atom.prop.subpocket>  (123) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (123) 
+14 14 14 14 14 14 13 14 14 14 14 14 14 14 8 8 8 8 8 8 8 8 na
+
+$$$$
+6vov_chainB
+     RDKit          3D
+
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    1.8873   16.1517   40.7350 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1581   15.3306   38.9540 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0735   14.0694   39.5209 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5544   13.2423   39.0198 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8163   14.8855   41.2733 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2713   14.7319   42.1930 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5531   16.3741   39.5758 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4134   13.8329   40.6757 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8501   15.5402   37.7641 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9009   16.4670   37.3659 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3014   14.7653   37.2992 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2512   17.3207   41.3510 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  5  2  0
+  1  7  1  0
+  2  3  1  0
+  2  7  2  0
+  2  9  1  0
   3  4  1  0
-  3 17  2  0
-  4  5  2  0
-  4 12  1  0
+  3  8  2  0
   5  6  1  0
-  5  7  1  0
-  7  8  1  0
-  7  9  2  0
+  5  8  1  0
   9 10  1  0
-  9 14  1  0
- 10 11  1  0
- 10 12  2  0
- 12 13  1  0
- 14 15  1  0
- 14 16  1  0
- 14 18  1  0
-  1 19  1  0
-V   18 *
-V   19 *
+  9 11  1  0
+ 12  1  1  0
+V   12 *
 M  END
->  <kinase>  (87) 
+>  <kinase>  (124) 
 SYK
 
->  <family>  (87) 
+>  <family>  (124) 
 Syk
 
->  <group>  (87) 
+>  <group>  (124) 
 TK
 
->  <complex_pdb>  (87) 
-1xbb
+>  <complex_pdb>  (124) 
+6vov
 
->  <ligand_pdb>  (87) 
-STI
+>  <ligand_pdb>  (124) 
+R6D
 
->  <alt>  (87) 
-A
+>  <alt>  (124) 
+ 
 
->  <chain>  (87) 
-A
+>  <chain>  (124) 
+B
 
->  <atom.prop.subpocket>  (87) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP X-FP SE
+>  <atom.prop.subpocket>  (124) 
+FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (87) 
-5 5 6 16 16 16 16 16 16 16 16 16 16 8 8 8 6 na na
+>  <atom.prop.environment>  (124) 
+14 14 14 14 14 14 14 14 5 5 5 na
 
 $$$$
 4l3p_chainA
@@ -5998,35 +8594,168 @@ $$$$
  10 12  2  0
  12 13  1  0
  12 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
->  <kinase>  (88) 
-TAK1
+>  <kinase>  (125) 
+TAK1
+
+>  <family>  (125) 
+MLK
+
+>  <group>  (125) 
+TKL
+
+>  <complex_pdb>  (125) 
+4l3p
+
+>  <ligand_pdb>  (125) 
+1UH
+
+>  <alt>  (125) 
+ 
+
+>  <chain>  (125) 
+A
+
+>  <atom.prop.subpocket>  (125) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (125) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+4l52_altA_chainA
+     RDKit          3D
+
+ 13 14  0  0  0  0  0  0  0  0999 V2000
+    0.9384   16.6804   40.1257 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6581   17.4042   39.1990 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1239   19.0969   39.4211 S   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9518   19.0845   37.8423 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8032   17.7773   37.2834 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0945   16.8532   38.0001 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7790   15.5259   37.7212 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1116   15.0745   36.7981 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0315   14.7772   38.6358 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7868   13.7483   38.4173 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6020   15.3555   39.8277 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0084   14.7804   40.5229 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5204   17.2998   41.2905 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 11  1  0
+  2  3  1  0
+  2  6  1  0
+  3  4  1  0
+  4  5  2  0
+  5  6  1  0
+  6  7  2  0
+  7  8  1  0
+  7  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 13  1  1  0
+V   13 *
+M  END
+>  <kinase>  (126) 
+TAK1
+
+>  <family>  (126) 
+MLK
+
+>  <group>  (126) 
+TKL
+
+>  <complex_pdb>  (126) 
+4l52
+
+>  <ligand_pdb>  (126) 
+1UL
+
+>  <alt>  (126) 
+A
+
+>  <chain>  (126) 
+A
+
+>  <atom.prop.subpocket>  (126) 
+FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (126) 
+16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+3gxl_chainA
+     RDKit          3D
+
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    3.0411   18.4326   39.1166 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2562   17.9232   40.0950 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5756   16.7598   39.8766 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7865   16.2995   40.9575 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5605   15.3174   40.8900 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6629   16.0559   38.6399 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9897   14.8240   38.3040 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3445   14.3534   39.0310 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1646   14.2263   37.0359 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6544   13.3057   36.7937 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0131   14.8422   36.0849 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1517   14.3905   35.1138 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6922   16.0705   36.4101 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3386   16.5293   35.6766 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5285   16.6827   37.6653 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2008   17.8428   37.8983 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2426   16.9145   42.1156 *   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7607   19.6949   39.4045 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 16  1  0
+  2  3  1  0
+  3  4  1  0
+  3  6  2  0
+  4  5  1  0
+  6  7  1  0
+  6 15  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 13 15  1  0
+ 15 16  2  0
+  4 17  1  0
+ 18  1  1  0
+V   17 *
+V   18 *
+M  END
+>  <kinase>  (127) 
+TGFbR1
 
->  <family>  (88) 
-MLK
+>  <family>  (127) 
+STKR
 
->  <group>  (88) 
+>  <group>  (127) 
 TKL
 
->  <complex_pdb>  (88) 
-4l3p
+>  <complex_pdb>  (127) 
+3gxl
 
->  <ligand_pdb>  (88) 
-1UH
+>  <ligand_pdb>  (127) 
+QIG
 
->  <alt>  (88) 
+>  <alt>  (127) 
  
 
->  <chain>  (88) 
+>  <chain>  (127) 
 A
 
->  <atom.prop.subpocket>  (88) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+>  <atom.prop.subpocket>  (127) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP GA
 
->  <atom.prop.environment>  (88) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (127) 
+14 14 14 5 5 14 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
 3hmm_chainA
@@ -6065,35 +8794,35 @@ $$$$
  11 13  1  0
  13 14  2  0
   3 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   15 *
 V   16 *
 M  END
->  <kinase>  (89) 
+>  <kinase>  (128) 
 TGFbR1
 
->  <family>  (89) 
+>  <family>  (128) 
 STKR
 
->  <group>  (89) 
+>  <group>  (128) 
 TKL
 
->  <complex_pdb>  (89) 
+>  <complex_pdb>  (128) 
 3hmm
 
->  <ligand_pdb>  (89) 
+>  <ligand_pdb>  (128) 
 855
 
->  <alt>  (89) 
+>  <alt>  (128) 
  
 
->  <chain>  (89) 
+>  <chain>  (128) 
 A
 
->  <atom.prop.subpocket>  (89) 
+>  <atom.prop.subpocket>  (128) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP GA
 
->  <atom.prop.environment>  (89) 
+>  <atom.prop.environment>  (128) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
@@ -6131,36 +8860,36 @@ $$$$
  11 12  1  0
  12 13  1  0
  11 14  1  0
- 10 15  1  0
+ 15 10  1  0
 V   14 *
 V   15 *
 M  END
->  <kinase>  (90) 
+>  <kinase>  (129) 
 TGFbR1
 
->  <family>  (90) 
+>  <family>  (129) 
 STKR
 
->  <group>  (90) 
+>  <group>  (129) 
 TKL
 
->  <complex_pdb>  (90) 
+>  <complex_pdb>  (129) 
 5qil
 
->  <ligand_pdb>  (90) 
+>  <ligand_pdb>  (129) 
 J2V
 
->  <alt>  (90) 
+>  <alt>  (129) 
 A
 
->  <chain>  (90) 
+>  <chain>  (129) 
 A
 
->  <atom.prop.subpocket>  (90) 
+>  <atom.prop.subpocket>  (129) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP AP GA
 
->  <atom.prop.environment>  (90) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (129) 
+14 14 14 14 14 14 14 14 14 16 14 14 14 na na
 
 $$$$
 6b8y_altA_chainA
@@ -6195,35 +8924,35 @@ $$$$
   9 11  1  0
  11 12  1  0
   6 13  1  0
-  4 14  1  0
+ 14  4  1  0
 V   13 *
 V   14 *
 M  END
->  <kinase>  (91) 
+>  <kinase>  (130) 
 TGFbR1
 
->  <family>  (91) 
+>  <family>  (130) 
 STKR
 
->  <group>  (91) 
+>  <group>  (130) 
 TKL
 
->  <complex_pdb>  (91) 
+>  <complex_pdb>  (130) 
 6b8y
 
->  <ligand_pdb>  (91) 
+>  <ligand_pdb>  (130) 
 D0A
 
->  <alt>  (91) 
+>  <alt>  (130) 
 A
 
->  <chain>  (91) 
+>  <chain>  (130) 
 A
 
->  <atom.prop.subpocket>  (91) 
+>  <atom.prop.subpocket>  (130) 
 FP FP FP FP FP FP FP FP FP FP FP FP AP GA
 
->  <atom.prop.environment>  (91) 
+>  <atom.prop.environment>  (130) 
 14 14 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
@@ -6267,31 +8996,31 @@ $$$$
   5 17  1  0
 V   17 *
 M  END
->  <kinase>  (92) 
+>  <kinase>  (131) 
 TNIK
 
->  <family>  (92) 
+>  <family>  (131) 
 STE20
 
->  <group>  (92) 
+>  <group>  (131) 
 STE
 
->  <complex_pdb>  (92) 
+>  <complex_pdb>  (131) 
 5ax9
 
->  <ligand_pdb>  (92) 
+>  <ligand_pdb>  (131) 
 4KT
 
->  <alt>  (92) 
+>  <alt>  (131) 
  
 
->  <chain>  (92) 
+>  <chain>  (131) 
 A
 
->  <atom.prop.subpocket>  (92) 
+>  <atom.prop.subpocket>  (131) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (92) 
+>  <atom.prop.environment>  (131) 
 16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 16 na
 
 $$$$
@@ -6314,7 +9043,7 @@ $$$$
     1.3264   15.7431   40.2769 C   0  0  0  0  0  0  0  0  0  0  0  0
     2.0834   15.1833   41.2439 N   0  0  0  0  0  0  0  0  0  0  0  0
     1.9717   15.4735   42.2048 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1824   14.0340   40.8583 S   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1824   14.0340   40.8583 S   0  0  0  0  0  6  0  0  0  0  0  0
     3.9570   14.5407   39.6378 O   0  0  0  0  0  0  0  0  0  0  0  0
     4.0640   13.8110   42.0700 O   0  0  0  0  0  0  0  0  0  0  0  0
     2.3850   12.5737   40.1837 C   0  0  0  0  0  0  0  0  0  0  0  0
@@ -6344,35 +9073,181 @@ $$$$
  19 20  1  0
  19 21  1  0
  19 22  1  0
-  1 23  1  0
+ 23  1  1  0
 V   23 *
 M  END
->  <kinase>  (93) 
+>  <kinase>  (132) 
 TRKA
 
->  <family>  (93) 
+>  <family>  (132) 
 Trk
 
->  <group>  (93) 
+>  <group>  (132) 
 TK
 
->  <complex_pdb>  (93) 
+>  <complex_pdb>  (132) 
 6j5l
 
->  <ligand_pdb>  (93) 
+>  <ligand_pdb>  (132) 
 B9C
 
->  <alt>  (93) 
+>  <alt>  (132) 
 B
 
->  <chain>  (93) 
+>  <chain>  (132) 
 A
 
->  <atom.prop.subpocket>  (93) 
+>  <atom.prop.subpocket>  (132) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (93) 
-8 8 8 16 16 16 16 16 16 16 16 16 16 5 5 12 12 12 12 12 12 12 na
+>  <atom.prop.environment>  (132) 
+4 4 4 16 16 16 16 16 16 16 16 16 16 5 5 12 12 12 12 12 12 12 na
+
+$$$$
+5nad_chainA
+     RDKit          3D
+
+ 17 17  0  0  0  0  0  0  0  0999 V2000
+    0.1155   14.5693   41.9572 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5604   14.5463   38.3505 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2435   14.6269   37.2797 F   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9986   14.3957   38.2561 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5116   14.3429   36.9869 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7690   13.8607   35.8437 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3945   13.9195   34.9530 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8789   14.4741   35.7037 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4737   12.8252   36.0127 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7708   14.3192   39.4342 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8403   14.2052   39.3361 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2334   14.3821   40.7124 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8657   14.3279   41.5862 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8719   14.5156   40.8299 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0161   14.5950   39.6804 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2831   14.7119   39.9334 F   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1693   15.7224   42.5858 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1 14  1  0
+  2  3  1  0
+  2  4  2  0
+  2 15  1  0
+  4  5  1  0
+  4 10  1  0
+  5  6  1  0
+  6  7  1  0
+  6  8  1  0
+  6  9  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  2  0
+ 15 16  1  0
+ 17  1  1  0
+V   17 *
+M  END
+>  <kinase>  (133) 
+TTK
+
+>  <family>  (133) 
+TTK
+
+>  <group>  (133) 
+Other
+
+>  <complex_pdb>  (133) 
+5nad
+
+>  <ligand_pdb>  (133) 
+8RH
+
+>  <alt>  (133) 
+ 
+
+>  <chain>  (133) 
+A
+
+>  <atom.prop.subpocket>  (133) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (133) 
+3 16 16 16 3 3 3 3 3 16 16 16 16 16 16 16 na
+
+$$$$
+6n6o_chainA
+     RDKit          3D
+
+ 22 22  0  0  0  0  0  0  0  0999 V2000
+    1.0931   15.6864   43.1318 C   0  0  2  0  0  0  0  0  0  0  0  0
+    0.5215   15.4795   44.0366 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3512   14.8393   43.0356 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9384   14.9796   43.9431 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9307   15.1692   42.1733 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0387   13.3507   42.8775 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5382   12.9993   43.7798 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9745   12.8075   42.7461 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1389   13.0757   41.6784 C   0  0  2  0  0  0  0  0  0  0  0  0
+   -0.1069   13.9574   41.7658 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6902   13.6573   42.6363 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7019   13.8165   40.8635 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2477   15.4346   41.8962 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8060   15.7460   41.0133 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6712   16.0163   41.9689 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7342   11.5986   41.6753 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2060   11.3647   42.5996 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6267   10.9775   41.5996 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0818   11.4024   40.8243 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8326   13.4108   40.4796 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0640   14.3412   40.5285 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5625   17.0236   43.0259 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  1
+  1  3  1  0
+  1 13  1  0
+  3  4  1  0
+  3  5  1  0
+  3  6  1  0
+  6  7  1  0
+  6  8  1  0
+  6  9  1  0
+  9 10  1  0
+  9 16  1  0
+  9 20  1  6
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 16 17  1  0
+ 16 18  1  0
+ 16 19  1  0
+ 20 21  1  0
+  1 22  1  0
+V   22 *
+M  END
+>  <kinase>  (134) 
+TTK
+
+>  <family>  (134) 
+TTK
+
+>  <group>  (134) 
+Other
+
+>  <complex_pdb>  (134) 
+6n6o
+
+>  <ligand_pdb>  (134) 
+KE7
+
+>  <alt>  (134) 
+ 
+
+>  <chain>  (134) 
+A
+
+>  <atom.prop.subpocket>  (134) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (134) 
+15 4 4 4 4 4 4 4 4 4 4 4 4 4 4 8 8 8 8 3 3 na
 
 $$$$
 4py1_chainA
@@ -6421,98 +9296,176 @@ $$$$
  19 20  1  0
 V   20 *
 M  END
->  <kinase>  (94) 
+>  <kinase>  (135) 
 TYK2
 
->  <family>  (94) 
+>  <family>  (135) 
 JakA
 
->  <group>  (94) 
+>  <group>  (135) 
 TK
 
->  <complex_pdb>  (94) 
+>  <complex_pdb>  (135) 
 4py1
 
->  <ligand_pdb>  (94) 
+>  <ligand_pdb>  (135) 
 2YK
 
->  <alt>  (94) 
+>  <alt>  (135) 
  
 
->  <chain>  (94) 
+>  <chain>  (135) 
 A
 
->  <atom.prop.subpocket>  (94) 
+>  <atom.prop.subpocket>  (135) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (94) 
+>  <atom.prop.environment>  (135) 
 16 16 3 3 3 3 3 3 3 3 3 16 16 16 16 16 16 3 16 na
 
 $$$$
-3op5_altA_chainA
+8s98_altB_chainA
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    3.2536   15.4042   39.6524 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0812   14.7244   39.5132 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0884   14.9495   40.3219 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.9176   15.8552   40.5175 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0138   15.5250   41.0079 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1847   13.4921   40.7647 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4974   12.8672   39.9282 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2181   13.1488   41.1333 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3036   17.6005   39.3439 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.3554   16.7126   39.1682 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2522   17.0316   38.6580 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0688   17.2186   40.0039 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2676   17.9341   40.1155 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1884   13.4315   41.8444 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0974   13.4503   42.5412 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5319   18.9101   38.8569 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+   -0.6066   10.4074   43.8029 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4482   10.2650   44.4808 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2856    9.9497   44.2300 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8302    9.9413   42.8432 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6152   12.2426   42.8088 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2017   11.9075   41.0929 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6517   11.2493   40.3644 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6222   13.2364   41.1768 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4114   13.6063   40.5390 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9937   14.0870   42.1137 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3141   15.1142   42.2069 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9765   13.6130   42.9068 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2117   11.4243   41.9359 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3787   11.8134   43.6110 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3478   14.3192   43.8974 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  1  3  2  0
-  1 10  1  0
-  3  4  1  0
-  3  6  1  0
-  4  5  1  0
-  4 12  2  0
+  1  3  1  0
+  1  4  1  0
+  1 14  1  0
+  5 12  2  0
+  5 13  1  0
+  5 14  1  0
   6  7  1  0
   6  8  1  0
-  6 14  1  0
-  9 10  2  0
-  9 12  1  0
+  6 13  2  0
+  8  9  1  0
+  8 10  2  0
  10 11  1  0
- 12 13  1  0
- 14 15  3  0
-  9 16  1  0
-V   16 *
+ 10 12  1  0
+ 12 15  1  0
+V   15 *
 M  END
->  <kinase>  (95) 
-VRK1
+>  <kinase>  (136) 
+TYK2-b
 
->  <family>  (95) 
-VRK
+>  <family>  (136) 
+JakB
 
->  <group>  (95) 
-CK1
+>  <group>  (136) 
+TK
 
->  <complex_pdb>  (95) 
-3op5
+>  <complex_pdb>  (136) 
+8s98
 
->  <ligand_pdb>  (95) 
-REB
+>  <ligand_pdb>  (136) 
+ZRU
 
->  <alt>  (95) 
+>  <alt>  (136) 
+B
+
+>  <chain>  (136) 
 A
 
->  <chain>  (95) 
+>  <atom.prop.subpocket>  (136) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
+
+>  <atom.prop.environment>  (136) 
+3 3 3 3 14 14 14 14 14 14 14 16 14 3 na
+
+$$$$
+8tb5_altB_chainA
+     RDKit          3D
+
+ 23 23  0  0  0  0  0  0  0  0999 V2000
+    1.2610   15.0664   42.0924 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4990   13.7437   42.4086 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1776   13.3594   43.3654 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1417   12.9051   41.5201 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3273   11.8775   41.7959 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5469   13.3597   40.2936 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0480   12.7096   39.5917 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2917   14.6721   39.9917 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6592   15.5293   40.8569 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4756   16.5549   40.5728 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6276   14.0364   37.4766 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3431   14.1591   36.9961 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4963   13.5445   38.4403 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2724   13.4277   36.8428 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2355   16.3263   38.1562 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6794   16.2174   37.5738 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6235   17.3380   38.0375 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0207   16.1407   39.2085 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2427   15.3526   37.6791 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2552   16.6439   38.7090 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5570   14.3153   37.7273 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7701   15.3122   38.4241 S   0  0  0  0  0  6  0  0  0  0  0  0
+    0.5612   15.9285   43.0278 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  9  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6  8  1  0
+  8  9  2  0
+  8 22  1  0
+  9 10  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 11 19  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 15 19  1  0
+ 19 22  1  0
+ 20 22  2  0
+ 21 22  2  0
+  1 23  1  0
+V   23 *
+M  END
+>  <kinase>  (137) 
+TYK2-b
+
+>  <family>  (137) 
+JakB
+
+>  <group>  (137) 
+TK
+
+>  <complex_pdb>  (137) 
+8tb5
+
+>  <ligand_pdb>  (137) 
+ZOQ
+
+>  <alt>  (137) 
+B
+
+>  <chain>  (137) 
 A
 
->  <atom.prop.subpocket>  (95) 
-FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP GA
+>  <atom.prop.subpocket>  (137) 
+FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (95) 
-16 16 16 16 16 8 8 8 16 16 16 16 16 8 8 na
+>  <atom.prop.environment>  (137) 
+16 12 12 12 12 12 12 12 12 12 5 5 5 5 5 5 5 5 5 12 12 12 na
 
 $$$$
 3wf5_altB_chainA
@@ -6580,35 +9533,35 @@ $$$$
  24 27  1  0
  27 28  1  0
  27 29  1  0
-  1 30  1  0
+ 30  1  1  0
 V   30 *
 M  END
->  <kinase>  (96) 
+>  <kinase>  (138) 
 p70S6K
 
->  <family>  (96) 
+>  <family>  (138) 
 RSK
 
->  <group>  (96) 
+>  <group>  (138) 
 AGC
 
->  <complex_pdb>  (96) 
+>  <complex_pdb>  (138) 
 3wf5
 
->  <ligand_pdb>  (96) 
+>  <ligand_pdb>  (138) 
 FZ8
 
->  <alt>  (96) 
+>  <alt>  (138) 
 B
 
->  <chain>  (96) 
+>  <chain>  (138) 
 A
 
->  <atom.prop.subpocket>  (96) 
+>  <atom.prop.subpocket>  (138) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (96) 
-15 15 15 15 15 15 15 15 15 14 14 14 14 14 14 14 14 14 14 14 14 14 14 15 15 15 15 15 15 na
+>  <atom.prop.environment>  (138) 
+5 5 5 5 5 5 5 15 5 14 14 14 14 14 14 14 14 14 14 14 14 14 14 5 5 5 5 5 5 na
 
 $$$$
 3wf6_altB_chainA
@@ -6674,34 +9627,34 @@ $$$$
  24 26  1  0
  26 27  1  0
  26 28  1  0
-  1 29  1  0
+ 29  1  1  0
 V   29 *
 M  END
->  <kinase>  (97) 
+>  <kinase>  (139) 
 p70S6K
 
->  <family>  (97) 
+>  <family>  (139) 
 RSK
 
->  <group>  (97) 
+>  <group>  (139) 
 AGC
 
->  <complex_pdb>  (97) 
+>  <complex_pdb>  (139) 
 3wf6
 
->  <ligand_pdb>  (97) 
+>  <ligand_pdb>  (139) 
 FZ9
 
->  <alt>  (97) 
+>  <alt>  (139) 
 B
 
->  <chain>  (97) 
+>  <chain>  (139) 
 A
 
->  <atom.prop.subpocket>  (97) 
+>  <atom.prop.subpocket>  (139) 
 FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP FP AP
 
->  <atom.prop.environment>  (97) 
+>  <atom.prop.environment>  (139) 
 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 na
 
 $$$$
diff --git a/data/fragment_library_custom_filtered/GA.sdf b/data/fragment_library_custom_filtered/GA.sdf
index 3e116515..bd71a4ac 100644
--- a/data/fragment_library_custom_filtered/GA.sdf
+++ b/data/fragment_library_custom_filtered/GA.sdf
@@ -1,50 +1,50 @@
-4id7_chainA
+8gmd_chainA
      RDKit          3D
 
  13 13  0  0  0  0  0  0  0  0999 V2000
-    2.5975   19.3234   40.7760 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3587   19.0374   39.4253 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.6271   18.2903   39.1550 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0557   19.7075   38.4372 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8629   19.4851   37.3981 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0068   20.6696   38.7766 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6873   21.3287   37.7880 O   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2561   20.9512   40.1234 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9929   21.6947   40.3896 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.5617   20.2800   41.1193 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7641   20.4947   42.1582 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2511   22.5098   37.2464 *   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8695   18.5833   41.8317 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3203   18.5166   39.2150 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3171   19.8076   38.6904 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7491   20.5881   39.1747 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0460   20.0862   37.5441 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8088   19.1006   36.9306 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4075   19.3386   36.0638 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7977   17.8025   37.4393 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0333   17.5128   38.5680 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9942   16.5008   38.9432 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9609   21.3234   36.9659 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4532   21.4237   36.1478 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6724   18.1753   40.4211 *   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6321   16.7573   36.8196 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
-  1 10  1  0
+  1  8  1  0
   2  3  1  0
   2  4  1  0
-  4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6  8  1  0
+  4  5  2  0
+  4 10  1  0
+  5  6  1  0
+  5  7  1  0
+  7  8  2  0
   8  9  1  0
-  8 10  2  0
  10 11  1  0
-  7 12  1  0
-  1 13  1  0
+  1 12  1  0
+  7 13  1  0
 V   12 *
 V   13 *
 M  END
 >  <kinase>  (1) 
-ACK
+AAK1
 
 >  <family>  (1) 
-Ack
+NAK
 
 >  <group>  (1) 
-TK
+Other
 
 >  <complex_pdb>  (1) 
-4id7
+8gmd
 
 >  <ligand_pdb>  (1) 
-1G0
+ZRR
 
 >  <alt>  (1) 
  
@@ -53,10 +53,10 @@ TK
 A
 
 >  <atom.prop.subpocket>  (1) 
-GA GA GA GA GA GA GA GA GA GA GA B1 AP
+GA GA GA GA GA GA GA GA GA GA GA AP FP
 
 >  <atom.prop.environment>  (1) 
-16 16 16 16 16 16 3 16 16 16 16 na na
+16 16 16 16 16 16 16 16 16 3 3 na na
 
 $$$$
 5oxg_altB_chainC
@@ -97,7 +97,7 @@ $$$$
  12 14  1  0
  14 15  1  0
  14 16  2  0
-  1 17  1  0
+ 17  1  1  0
 V   17 *
 M  END
 >  <kinase>  (2) 
@@ -128,59 +128,57 @@ GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-3efw_chainA
+6zgc_chainA
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    4.4945   18.5840   38.7189 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.4291   19.1237   38.6792 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8201   17.2132   37.6625 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4590   16.6827   36.7938 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7336   16.4278   38.8578 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5587   15.9787   37.8801 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0815   17.1116   39.0946 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.7819   15.6443   39.6141 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8269   17.9109   41.1411 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5349   17.8809   39.9679 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0632   17.2025   38.8360 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7460   18.5736   39.8978 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.1074   19.1069   40.7647 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0379   17.8988   37.5915 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9535   16.8599   42.0083 *   0  0  0  0  0  0  0  0  0  0  0  0
-    4.7340   17.8842   36.4342 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1 12  2  0
-  1 14  1  0
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    1.9577   18.7728   40.1302 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9678   19.7559   40.4127 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5213   20.2272   41.6446 O   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6307   21.0228   41.3127 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5540   20.4724   41.4934 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6292   21.9354   41.9088 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.5142   21.3385   39.9413 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5757   20.4341   39.3857 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2083   20.1614   38.0268 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6858   20.6945   37.2180 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2245   19.1975   37.7532 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9447   18.9884   36.7312 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6037   18.5050   38.8046 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4307   17.3564   38.4625 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    1.3328   18.0601   41.1844 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 13  1  0
+  2  3  1  0
+  2  8  1  0
   3  4  1  0
-  3 11  1  0
-  3 14  2  0
-  5  6  1  0
-  5  7  1  0
-  5  8  1  0
-  5 11  1  0
+  4  5  1  0
+  4  6  1  0
+  4  7  1  0
+  7  8  1  0
+  8  9  2  0
   9 10  1  0
- 10 11  2  0
- 10 12  1  0
- 12 13  1  0
-  9 15  1  0
- 14 16  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 15  1  1  0
 V   15 *
-V   16 *
 M  END
 >  <kinase>  (3) 
-AurA
+ALK2
 
 >  <family>  (3) 
-Aur
+STKR
 
 >  <group>  (3) 
-Other
+TKL
 
 >  <complex_pdb>  (3) 
-3efw
+6zgc
 
 >  <ligand_pdb>  (3) 
-AK8
+H8H
 
 >  <alt>  (3) 
  
@@ -189,10 +187,10 @@ AK8
 A
 
 >  <atom.prop.subpocket>  (3) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP B2
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
 >  <atom.prop.environment>  (3) 
-16 16 16 16 8 8 8 8 3 16 16 16 16 16 na na
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 3m11_chainA
@@ -263,7 +261,7 @@ A
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP B2
 
 >  <atom.prop.environment>  (4) 
-8 8 8 8 8 8 16 16 16 16 16 16 16 16 16 16 na na
+4 4 4 8 4 4 16 16 16 16 16 16 16 16 16 16 na na
 
 $$$$
 3prf_chainA
@@ -359,7 +357,7 @@ $$$$
  10 11  1  0
  10 12  1  0
  12 13  2  0
-  1 14  1  0
+ 14  1  1  0
  13 15  1  0
 V   14 *
 V   15 *
@@ -389,7 +387,7 @@ A
 GA GA GA GA GA GA GA GA GA GA GA GA GA AP FP
 
 >  <atom.prop.environment>  (6) 
-14 14 14 14 14 14 14 14 14 14 14 14 14 na na
+16 16 16 16 16 16 16 16 16 16 16 16 14 na na
 
 $$$$
 4yht_chainA
@@ -409,7 +407,7 @@ $$$$
     2.0192   21.0860   37.2370 O   0  0  0  0  0  0  0  0  0  0  0  0
     3.5678   21.1967   39.2234 N   0  0  0  0  0  0  0  0  0  0  0  0
     2.9602   20.8646   39.9586 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1488   20.3695   37.7846 S   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1488   20.3695   37.7846 S   0  0  0  0  0  6  0  0  0  0  0  0
     4.9530   21.0358   39.6794 C   0  0  0  0  0  0  0  0  0  0  0  0
     5.6339   21.3870   38.9041 H   0  0  0  0  0  0  0  0  0  0  0  0
     5.1480   19.9832   39.8846 H   0  0  0  0  0  0  0  0  0  0  0  0
@@ -464,79 +462,7 @@ A
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP FP
 
 >  <atom.prop.environment>  (7) 
-16 16 16 16 16 16 16 16 16 16 16 5 5 16 5 5 5 5 na na
-
-$$$$
-5ct7_chainB
-     RDKit          3D
-
- 18 19  0  0  0  0  0  0  0  0999 V2000
-    2.6225   21.6916   36.7417 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7845   22.4492   36.9051 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.5636   22.3799   38.0514 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.4688   22.9612   38.1468 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7830   22.9246   34.9906 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.8947   24.2471   35.5134 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.6178   24.2529   36.3290 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.4280   25.2290   35.4347 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.4031   24.0105   34.5787 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.1412   21.5400   39.0700 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.7057   21.4802   39.9887 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9873   20.7714   38.9097 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2159   20.8208   37.7528 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3342   20.2071   37.6416 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9983   22.0153   35.5311 N   0  0  0  0  0  0  0  0  0  0  0  0
-    3.8692   23.2401   35.7787 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6351   19.8582   39.8989 *   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6378   23.4891   33.7618 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1 13  2  0
-  1 15  1  0
-  2  3  2  0
-  2 16  1  0
-  3  4  1  0
-  3 10  1  0
-  5 15  2  0
-  5 16  1  0
-  6  7  1  0
-  6  8  1  0
-  6  9  1  0
-  6 16  1  0
- 10 11  1  0
- 10 12  2  0
- 12 13  1  0
- 13 14  1  0
- 12 17  1  0
-  5 18  1  0
-V   17 *
-V   18 *
-M  END
->  <kinase>  (8) 
-BRAF
-
->  <family>  (8) 
-RAF
-
->  <group>  (8) 
-TKL
-
->  <complex_pdb>  (8) 
-5ct7
-
->  <ligand_pdb>  (8) 
-55J
-
->  <alt>  (8) 
- 
-
->  <chain>  (8) 
-B
-
->  <atom.prop.subpocket>  (8) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP B1
-
->  <atom.prop.environment>  (8) 
-9 9 9 9 9 8 8 8 8 9 9 9 9 9 9 9 na na
+12 12 16 12 12 16 12 12 12 12 12 5 5 12 5 5 5 5 na na
 
 $$$$
 3pj1_chainA
@@ -566,34 +492,34 @@ $$$$
   8  9  1  0
   8 10  2  0
  10 11  1  0
-  1 12  1  0
+ 12  1  1  0
 V   12 *
 M  END
->  <kinase>  (9) 
+>  <kinase>  (8) 
 BTK
 
->  <family>  (9) 
+>  <family>  (8) 
 Tec
 
->  <group>  (9) 
+>  <group>  (8) 
 TK
 
->  <complex_pdb>  (9) 
+>  <complex_pdb>  (8) 
 3pj1
 
->  <ligand_pdb>  (9) 
+>  <ligand_pdb>  (8) 
 LHL
 
->  <alt>  (9) 
+>  <alt>  (8) 
  
 
->  <chain>  (9) 
+>  <chain>  (8) 
 A
 
->  <atom.prop.subpocket>  (9) 
+>  <atom.prop.subpocket>  (8) 
 GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (9) 
+>  <atom.prop.environment>  (8) 
 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -626,34 +552,34 @@ $$$$
   8  9  1  0
   8 10  2  0
  10 11  1  0
-  1 13  1  0
+ 13  1  1  0
 V   13 *
 M  END
->  <kinase>  (10) 
+>  <kinase>  (9) 
 BTK
 
->  <family>  (10) 
+>  <family>  (9) 
 Tec
 
->  <group>  (10) 
+>  <group>  (9) 
 TK
 
->  <complex_pdb>  (10) 
+>  <complex_pdb>  (9) 
 3pj2
 
->  <ligand_pdb>  (10) 
+>  <ligand_pdb>  (9) 
 04K
 
->  <alt>  (10) 
+>  <alt>  (9) 
  
 
->  <chain>  (10) 
+>  <chain>  (9) 
 A
 
->  <atom.prop.subpocket>  (10) 
+>  <atom.prop.subpocket>  (9) 
 GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (10) 
+>  <atom.prop.environment>  (9) 
 3 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -692,36 +618,36 @@ $$$$
  11 13  1  0
  13 14  1  0
  13 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   15 *
 V   16 *
 M  END
->  <kinase>  (11) 
+>  <kinase>  (10) 
 BTK
 
->  <family>  (11) 
+>  <family>  (10) 
 Tec
 
->  <group>  (11) 
+>  <group>  (10) 
 TK
 
->  <complex_pdb>  (11) 
+>  <complex_pdb>  (10) 
 5fbn
 
->  <ligand_pdb>  (11) 
+>  <ligand_pdb>  (10) 
 5WF
 
->  <alt>  (11) 
+>  <alt>  (10) 
 B
 
->  <chain>  (11) 
+>  <chain>  (10) 
 D
 
->  <atom.prop.subpocket>  (11) 
+>  <atom.prop.subpocket>  (10) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA B1 AP
 
->  <atom.prop.environment>  (11) 
-16 16 16 16 16 16 16 16 16 16 6 6 5 5 na na
+>  <atom.prop.environment>  (10) 
+16 16 16 16 16 16 16 16 16 16 1 1 5 5 na na
 
 $$$$
 5fbo_altA_chainA
@@ -759,36 +685,36 @@ $$$$
  11 13  1  0
  13 14  1  0
  13 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   15 *
 V   16 *
 M  END
->  <kinase>  (12) 
+>  <kinase>  (11) 
 BTK
 
->  <family>  (12) 
+>  <family>  (11) 
 Tec
 
->  <group>  (12) 
+>  <group>  (11) 
 TK
 
->  <complex_pdb>  (12) 
+>  <complex_pdb>  (11) 
 5fbo
 
->  <ligand_pdb>  (12) 
+>  <ligand_pdb>  (11) 
 5WH
 
->  <alt>  (12) 
+>  <alt>  (11) 
 A
 
->  <chain>  (12) 
+>  <chain>  (11) 
 A
 
->  <atom.prop.subpocket>  (12) 
+>  <atom.prop.subpocket>  (11) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA B2 AP
 
->  <atom.prop.environment>  (12) 
-16 16 16 16 16 16 16 16 16 16 6 6 5 5 na na
+>  <atom.prop.environment>  (11) 
+16 16 16 16 16 16 16 16 16 16 1 1 5 5 na na
 
 $$$$
 6e4f_altA_chainA
@@ -824,104 +750,168 @@ $$$$
 V   12 *
 V   13 *
 M  END
->  <kinase>  (13) 
+>  <kinase>  (12) 
 BTK
 
->  <family>  (13) 
+>  <family>  (12) 
 Tec
 
->  <group>  (13) 
+>  <group>  (12) 
 TK
 
->  <complex_pdb>  (13) 
+>  <complex_pdb>  (12) 
 6e4f
 
->  <ligand_pdb>  (13) 
+>  <ligand_pdb>  (12) 
 HRA
 
->  <alt>  (13) 
+>  <alt>  (12) 
 A
 
->  <chain>  (13) 
+>  <chain>  (12) 
 A
 
->  <atom.prop.subpocket>  (13) 
+>  <atom.prop.subpocket>  (12) 
 GA GA GA GA GA GA GA GA GA GA GA B1 AP
 
->  <atom.prop.environment>  (13) 
+>  <atom.prop.environment>  (12) 
 16 16 16 16 16 16 16 16 16 16 3 na na
 
 $$$$
-6f7b_altB_chainA
+6x3o_altA_chainB
      RDKit          3D
 
- 18 19  0  0  0  0  0  0  0  0999 V2000
-    4.9951   23.9119   39.4754 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.4759   24.8072   39.8411 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7274   21.6264   38.5270 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1688   20.6484   37.7103 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.1895   22.5794   37.6566 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.8955   21.8026   39.9151 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.5307   21.0622   40.6116 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.5420   22.9511   40.3730 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6917   23.0952   41.4328 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.3225   21.0329   36.4434 N   0  0  0  0  0  0  0  0  0  0  0  0
-    4.8304   23.7220   38.1104 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1978   24.4565   37.4090 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9022   22.1306   36.4354 N   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2395   22.8798   35.2355 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0716   22.2421   34.3676 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.2921   23.1589   35.2832 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.4035   24.1499   35.0780 *   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6070   19.4536   38.1548 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  8  2  0
-  1 11  1  0
-  3  4  1  0
-  3  5  1  0
-  3  6  2  0
-  4 10  2  0
-  5 11  2  0
-  5 13  1  0
+ 20 20  0  0  0  0  0  0  0  0999 V2000
+    1.9841   18.6994   41.3680 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6201   18.4070   40.0522 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7955   17.7361   39.8618 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3054   18.9683   38.9909 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0149   18.7289   37.9786 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3662   19.8388   39.2169 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7521   20.1264   40.5189 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.5798   20.7960   40.7004 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0788   19.5572   41.5833 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4037   19.8061   42.8905 O   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4821   20.7162   43.1574 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6196   20.8107   44.2345 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2467   21.6927   42.7341 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3986   20.3360   42.7061 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1868   20.5059   38.1646 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3760   20.7390   38.3677 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5266   20.8625   37.0321 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5592   20.5774   36.9769 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0189   21.5770   35.9296 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2124   18.0832   42.4601 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  9  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
   6  7  1  0
-  6  8  1  0
-  8  9  1  0
- 10 13  1  0
+  6 15  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+ 10 11  1  0
  11 12  1  0
- 13 14  1  0
- 14 15  1  0
- 14 16  1  0
- 14 17  1  0
-  4 18  1  0
-V   17 *
-V   18 *
+ 11 13  1  0
+ 11 14  1  0
+ 15 16  2  0
+ 15 17  1  0
+ 17 18  1  0
+ 17 19  1  0
+ 20  1  1  0
+V   19 *
+V   20 *
 M  END
->  <kinase>  (14) 
-BUB1
-
->  <family>  (14) 
-BUB
+>  <kinase>  (13) 
+BTK
 
->  <group>  (14) 
-Other
+>  <family>  (13) 
+Tec
 
->  <complex_pdb>  (14) 
-6f7b
+>  <group>  (13) 
+TK
 
->  <ligand_pdb>  (14) 
-CVQ
+>  <complex_pdb>  (13) 
+6x3o
 
->  <alt>  (14) 
-B
+>  <ligand_pdb>  (13) 
+ULY
 
->  <chain>  (14) 
+>  <alt>  (13) 
 A
 
->  <atom.prop.subpocket>  (14) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA B1 FP
+>  <chain>  (13) 
+B
+
+>  <atom.prop.subpocket>  (13) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA B1 AP
+
+>  <atom.prop.environment>  (13) 
+16 16 16 16 16 16 16 16 16 3 3 3 3 3 1 1 5 5 na na
+
+$$$$
+7l5o_altB_chainA
+     RDKit          3D
+
+ 13 13  0  0  0  0  0  0  0  0999 V2000
+    3.1065   19.3237   41.7963 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8864   19.8778   40.8306 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7128   20.5232   41.0891 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5943   19.5937   39.5065 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5358   18.7457   39.1860 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3186   18.5287   38.1506 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3998   19.6004   43.0842 F   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3775   20.1430   38.5351 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7629   18.1811   40.1797 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9549   17.5105   39.9273 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0339   18.4830   41.5055 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8809   20.8906   37.5080 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2254   17.8984   42.5833 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  7  1  0
+  1 11  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
+  4  8  1  0
+  5  6  1  0
+  5  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 12  8  1  0
+ 13 11  1  0
+V   12 *
+V   13 *
+M  END
+>  <kinase>  (14) 
+BTK
+
+>  <family>  (14) 
+Tec
+
+>  <group>  (14) 
+TK
+
+>  <complex_pdb>  (14) 
+7l5o
+
+>  <ligand_pdb>  (14) 
+R1L
+
+>  <alt>  (14) 
+B
+
+>  <chain>  (14) 
+A
+
+>  <atom.prop.subpocket>  (14) 
+GA GA GA GA GA GA GA GA GA GA GA B1 AP
 
 >  <atom.prop.environment>  (14) 
-14 14 14 14 14 14 14 14 14 14 14 14 14 8 8 8 na na
+16 16 16 16 16 16 16 3 16 16 16 na na
 
 $$$$
 3bht_altB_chainC
@@ -981,6 +971,221 @@ GA GA GA GA GA GA GA GA GA GA GA AP
 >  <atom.prop.environment>  (15) 
 14 5 5 5 14 14 14 14 14 14 14 na
 
+$$$$
+7m2f_altB_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    3.0481   19.0124   39.8240 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4358   19.8109   40.4392 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2581   17.5656   39.1250 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5850   16.1699   38.4758 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6381   16.0197   38.7133 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0326   15.2520   38.6769 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4838   16.4314   37.4225 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1039   16.9683   38.1788 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7337   16.1789   37.5415 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4167   17.3962   38.0660 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0868   16.9415   37.3515 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7275   18.5768   39.9745 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8442   18.4085   38.8812 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0610   17.2276   39.2817 O   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1297   18.8074   38.7903 F   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9152   19.1570   41.0863 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1 12  2  0
+  1 13  1  0
+  3  8  2  0
+  3 12  1  0
+  3 14  1  0
+  4  5  1  0
+  4  6  1  0
+  4  7  1  0
+  4 14  1  0
+  8  9  1  0
+  8 10  1  0
+ 10 11  1  0
+ 10 13  2  0
+ 13 15  1  0
+ 16 12  1  0
+V   16 *
+M  END
+>  <kinase>  (16) 
+CDK2
+
+>  <family>  (16) 
+CDK
+
+>  <group>  (16) 
+CMGC
+
+>  <complex_pdb>  (16) 
+7m2f
+
+>  <ligand_pdb>  (16) 
+YOS
+
+>  <alt>  (16) 
+B
+
+>  <chain>  (16) 
+A
+
+>  <atom.prop.subpocket>  (16) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (16) 
+16 16 16 3 3 3 3 16 16 16 16 16 16 3 16 na
+
+$$$$
+7nwk_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    1.9712   18.8259   39.7341 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3269   19.1705   39.7053 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7083   19.8789   40.4257 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1855   18.6236   38.7756 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.2311   18.8938   38.7605 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6799   17.7321   37.8752 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4132   16.8606   37.7718 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4764   16.7125   37.9608 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0829   15.8922   37.7083 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2824   17.3982   36.8327 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.5290   17.1905   36.9763 F   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3592   17.3513   37.8364 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0021   16.6447   37.1018 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4988   17.9096   38.7782 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1589   17.6197   38.8388 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1543   19.4599   40.8174 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 14  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6 11  1  0
+  6 12  1  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+  7 15  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 16  1  1  0
+V   16 *
+M  END
+>  <kinase>  (17) 
+CDK9
+
+>  <family>  (17) 
+CDK
+
+>  <group>  (17) 
+CMGC
+
+>  <complex_pdb>  (17) 
+7nwk
+
+>  <ligand_pdb>  (17) 
+UT5
+
+>  <alt>  (17) 
+ 
+
+>  <chain>  (17) 
+A
+
+>  <atom.prop.subpocket>  (17) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (17) 
+16 16 16 16 16 16 3 3 3 3 16 16 16 16 3 na
+
+$$$$
+4bbm_chainA
+     RDKit          3D
+
+ 24 25  0  0  0  0  0  0  0  0999 V2000
+    1.4979   19.6815   40.6690 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9280   18.6092   39.8762 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6385   17.6055   40.1502 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7212   18.8009   38.7401 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0475   17.9445   38.1687 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8720   20.9683   40.2542 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5441   21.8257   40.8232 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6619   21.1594   39.1168 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9434   22.1632   38.8347 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0980   20.0834   38.3334 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9139   20.2924   37.2036 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9862   19.4285   36.9598 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1690   18.6038   37.6327 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.8235   19.6170   35.8594 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.6428   18.9339   35.6902 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6167   20.6750   34.9756 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.4446   20.8481   33.8991 O   0  0  0  0  0  0  0  0  0  0  0  0
+    6.2318   21.5990   33.3401 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.5561   21.5535   35.1989 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3792   22.3771   34.5230 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7241   21.3579   36.3058 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6863   22.2126   36.5410 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5927   22.9228   35.9019 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6862   19.5283   41.7396 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  6  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4 10  2  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+  8 10  1  0
+ 10 11  1  0
+ 11 12  2  0
+ 11 21  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  1  0
+ 14 16  2  0
+ 16 17  1  0
+ 16 19  1  0
+ 17 18  1  0
+ 19 20  1  0
+ 19 21  2  0
+ 21 22  1  0
+ 22 23  1  0
+ 24  1  1  0
+V   24 *
+M  END
+>  <kinase>  (18) 
+CDKL2
+
+>  <family>  (18) 
+CDKL
+
+>  <group>  (18) 
+CMGC
+
+>  <complex_pdb>  (18) 
+4bbm
+
+>  <ligand_pdb>  (18) 
+TC0
+
+>  <alt>  (18) 
+ 
+
+>  <chain>  (18) 
+A
+
+>  <atom.prop.subpocket>  (18) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (18) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 3 3 16 16 16 3 3 na
+
 $$$$
 2ayp_chainA
      RDKit          3D
@@ -1022,31 +1227,31 @@ $$$$
   5 17  1  0
 V   17 *
 M  END
->  <kinase>  (16) 
+>  <kinase>  (19) 
 CHK1
 
->  <family>  (16) 
+>  <family>  (19) 
 CAMKL
 
->  <group>  (16) 
+>  <group>  (19) 
 CAMK
 
->  <complex_pdb>  (16) 
+>  <complex_pdb>  (19) 
 2ayp
 
->  <ligand_pdb>  (16) 
+>  <ligand_pdb>  (19) 
 43A
 
->  <alt>  (16) 
+>  <alt>  (19) 
  
 
->  <chain>  (16) 
+>  <chain>  (19) 
 A
 
->  <atom.prop.subpocket>  (16) 
+>  <atom.prop.subpocket>  (19) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (16) 
+>  <atom.prop.environment>  (19) 
 16 16 16 16 16 16 16 16 16 3 3 3 3 3 3 3 na
 
 $$$$
@@ -1065,7 +1270,7 @@ $$$$
     1.9311   18.3882   40.4313 C   0  0  0  0  0  0  0  0  0  0  0  0
     1.8554   17.4170   40.8978 H   0  0  0  0  0  0  0  0  0  0  0  0
     3.4933   19.9661   37.2598 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6830   21.2064   36.7925 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6830   21.2064   36.7925 O   0  0  0  0  0  1  0  0  0  0  0  0
     3.8974   19.0004   36.6669 O   0  0  0  0  0  0  0  0  0  0  0  0
     0.5134   19.4618   42.3882 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
@@ -1081,35 +1286,35 @@ $$$$
   9 10  1  0
  11 12  1  0
  11 13  2  0
-  1 14  1  0
+ 14  1  1  0
 M  CHG  1  12  -1
 V   14 *
 M  END
->  <kinase>  (17) 
+>  <kinase>  (20) 
 CHK1
 
->  <family>  (17) 
+>  <family>  (20) 
 CAMKL
 
->  <group>  (17) 
+>  <group>  (20) 
 CAMK
 
->  <complex_pdb>  (17) 
+>  <complex_pdb>  (20) 
 2e9o
 
->  <ligand_pdb>  (17) 
+>  <ligand_pdb>  (20) 
 A58
 
->  <alt>  (17) 
+>  <alt>  (20) 
  
 
->  <chain>  (17) 
+>  <chain>  (20) 
 A
 
->  <atom.prop.subpocket>  (17) 
+>  <atom.prop.subpocket>  (20) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (17) 
+>  <atom.prop.environment>  (20) 
 16 16 16 16 16 16 16 16 16 16 6 6 6 na
 
 $$$$
@@ -1149,32 +1354,32 @@ $$$$
  14 15  1  0
 V   15 *
 M  END
->  <kinase>  (18) 
+>  <kinase>  (21) 
 CHK1
 
->  <family>  (18) 
+>  <family>  (21) 
 CAMKL
 
->  <group>  (18) 
+>  <group>  (21) 
 CAMK
 
->  <complex_pdb>  (18) 
+>  <complex_pdb>  (21) 
 4fti
 
->  <ligand_pdb>  (18) 
+>  <ligand_pdb>  (21) 
 H7K
 
->  <alt>  (18) 
+>  <alt>  (21) 
 A
 
->  <chain>  (18) 
+>  <chain>  (21) 
 A
 
->  <atom.prop.subpocket>  (18) 
+>  <atom.prop.subpocket>  (21) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (18) 
-6 6 3 3 3 3 3 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (21) 
+1 1 3 3 3 3 3 14 14 14 14 14 14 14 na
 
 $$$$
 4ftm_altA_chainA
@@ -1229,31 +1434,31 @@ $$$$
  20 23  1  0
 V   23 *
 M  END
->  <kinase>  (19) 
+>  <kinase>  (22) 
 CHK1
 
->  <family>  (19) 
+>  <family>  (22) 
 CAMKL
 
->  <group>  (19) 
+>  <group>  (22) 
 CAMK
 
->  <complex_pdb>  (19) 
+>  <complex_pdb>  (22) 
 4ftm
 
->  <ligand_pdb>  (19) 
+>  <ligand_pdb>  (22) 
 1HK
 
->  <alt>  (19) 
+>  <alt>  (22) 
 A
 
->  <chain>  (19) 
+>  <chain>  (22) 
 A
 
->  <atom.prop.subpocket>  (19) 
+>  <atom.prop.subpocket>  (22) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (19) 
+>  <atom.prop.environment>  (22) 
 3 3 16 16 3 3 3 3 3 16 16 16 16 16 16 16 8 8 8 8 8 8 na
 
 $$$$
@@ -1284,36 +1489,107 @@ $$$$
   8  9  2  0
   8 11  1  0
   9 10  1  0
-  1 12  1  0
+ 12  1  1  0
 V   12 *
 M  END
->  <kinase>  (20) 
+>  <kinase>  (23) 
 CK1d
 
->  <family>  (20) 
+>  <family>  (23) 
 CK1
 
->  <group>  (20) 
+>  <group>  (23) 
 CK1
 
->  <complex_pdb>  (20) 
+>  <complex_pdb>  (23) 
 5ih6
 
->  <ligand_pdb>  (20) 
+>  <ligand_pdb>  (23) 
 AUG
 
->  <alt>  (20) 
+>  <alt>  (23) 
 B
 
->  <chain>  (20) 
+>  <chain>  (23) 
 A
 
->  <atom.prop.subpocket>  (20) 
+>  <atom.prop.subpocket>  (23) 
 GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (20) 
+>  <atom.prop.environment>  (23) 
 16 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+6rch_altB_chainA
+     RDKit          3D
+
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    1.2267   20.4770   40.7565 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8353   19.5687   39.9058 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8659   18.5226   40.1726 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4148   19.9983   38.6950 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3928   21.3724   38.3704 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7475   22.2660   39.2426 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7023   23.3151   38.9903 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1793   21.8312   40.3988 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6856   22.5379   41.0493 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0893   19.1044   37.8218 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0973   18.0468   38.0407 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7277   19.5693   36.7083 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2478   18.8780   36.0617 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7143   20.9124   36.4020 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2250   21.2624   35.5171 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0661   21.8035   37.1999 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0646   22.8514   36.9385 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6134   20.0245   41.9749 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
+  4 10  1  0
+  5  6  1  0
+  5 16  1  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  1  0
+ 14 16  2  0
+ 16 17  1  0
+ 18  1  1  0
+V   18 *
+M  END
+>  <kinase>  (24) 
+CK1d
+
+>  <family>  (24) 
+CK1
+
+>  <group>  (24) 
+CK1
+
+>  <complex_pdb>  (24) 
+6rch
+
+>  <ligand_pdb>  (24) 
+K0B
+
+>  <alt>  (24) 
+B
+
+>  <chain>  (24) 
+A
+
+>  <atom.prop.subpocket>  (24) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (24) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
 $$$$
 6hop_altC_chainA
      RDKit          3D
@@ -1359,32 +1635,165 @@ $$$$
  17 19  2  0
 V   19 *
 M  END
->  <kinase>  (21) 
+>  <kinase>  (25) 
 CK2a1
 
->  <family>  (21) 
+>  <family>  (25) 
 CK2
 
->  <group>  (21) 
+>  <group>  (25) 
 CMGC
 
->  <complex_pdb>  (21) 
+>  <complex_pdb>  (25) 
 6hop
 
->  <ligand_pdb>  (21) 
+>  <ligand_pdb>  (25) 
 GJK
 
->  <alt>  (21) 
+>  <alt>  (25) 
 C
 
->  <chain>  (21) 
+>  <chain>  (25) 
 A
 
->  <atom.prop.subpocket>  (21) 
+>  <atom.prop.subpocket>  (25) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (21) 
-3 3 3 3 3 7 7 3 3 7 7 7 7 7 7 7 7 7 na
+>  <atom.prop.environment>  (25) 
+3 3 3 3 3 16 16 3 3 16 16 16 16 16 16 16 7 16 na
+
+$$$$
+6qy7_altA_chainA
+     RDKit          3D
+
+ 13 13  0  0  0  0  0  0  0  0999 V2000
+    1.7244   19.1670   40.0982 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6003   20.4867   39.6840 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0905   21.1991   40.3156 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1247   20.9001   38.4666 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0633   21.9385   38.1758 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7296   19.9746   37.6217 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8445   18.6583   38.0385 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3359   18.2489   39.2459 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4099   17.2114   39.5368 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4330   17.7219   37.2356 F   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1876   20.3541   36.4522 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5954   19.6586   35.9311 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0796   18.7236   41.3211 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6 11  1  0
+  7  8  2  0
+  7 10  1  0
+  8  9  1  0
+ 11 12  1  0
+ 13  1  1  0
+V   13 *
+M  END
+>  <kinase>  (26) 
+CK2a1
+
+>  <family>  (26) 
+CK2
+
+>  <group>  (26) 
+CMGC
+
+>  <complex_pdb>  (26) 
+6qy7
+
+>  <ligand_pdb>  (26) 
+041
+
+>  <alt>  (26) 
+A
+
+>  <chain>  (26) 
+A
+
+>  <atom.prop.subpocket>  (26) 
+GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (26) 
+16 16 16 16 16 16 16 16 16 16 3 3 na
+
+$$$$
+6r8j_altB_chainA
+     RDKit          3D
+
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+    0.8825   15.4092   38.2704 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1718   14.8967   38.9188 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8038   14.8298   38.2115 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4547   15.5138   37.2733 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1803   16.7634   38.8295 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6909   17.2831   39.9676 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0012   16.7905   40.6345 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0010   17.6551   38.2994 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7062   17.5589   37.1713 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6621   16.6596   36.5749 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4950   18.6240   36.7733 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0732   18.5842   35.8620 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5142   19.7561   37.5988 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1409   20.5942   37.3318 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7403   19.8241   38.7594 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7385   20.7137   39.3717 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9975   18.7548   39.0959 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1961   18.5030   40.1417 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8586   19.3232   41.1806 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  5  8  1  0
+  6  7  1  0
+  6 18  2  0
+  8  9  2  0
+  8 17  1  0
+  9 10  1  0
+  9 11  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+ 13 15  1  0
+ 15 16  1  0
+ 15 17  2  0
+ 17 18  1  0
+ 19 18  1  0
+V   19 *
+M  END
+>  <kinase>  (27) 
+CLK1
+
+>  <family>  (27) 
+CLK
+
+>  <group>  (27) 
+CMGC
+
+>  <complex_pdb>  (27) 
+6r8j
+
+>  <ligand_pdb>  (27) 
+JUW
+
+>  <alt>  (27) 
+B
+
+>  <chain>  (27) 
+A
+
+>  <atom.prop.subpocket>  (27) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (27) 
+8 8 8 8 9 9 9 9 9 9 9 9 9 9 9 9 9 16 na
 
 $$$$
 5auy_chainA
@@ -1418,36 +1827,102 @@ $$$$
   9 11  2  0
  11 12  1  0
  12 13  1  0
-  1 14  1  0
+ 14  1  1  0
 V   14 *
 M  END
->  <kinase>  (22) 
+>  <kinase>  (28) 
 DAPK1
 
->  <family>  (22) 
+>  <family>  (28) 
 DAPK
 
->  <group>  (22) 
+>  <group>  (28) 
 CAMK
 
->  <complex_pdb>  (22) 
+>  <complex_pdb>  (28) 
 5auy
 
->  <ligand_pdb>  (22) 
+>  <ligand_pdb>  (28) 
 MRI
 
->  <alt>  (22) 
+>  <alt>  (28) 
  
 
->  <chain>  (22) 
+>  <chain>  (28) 
 A
 
->  <atom.prop.subpocket>  (22) 
+>  <atom.prop.subpocket>  (28) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (22) 
+>  <atom.prop.environment>  (28) 
 16 16 16 16 16 16 3 3 16 16 16 3 3 na
 
+$$$$
+8ie5_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    2.3722   21.1293   37.2526 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6212   21.5896   37.8774 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8373   19.8680   37.5688 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3387   19.2173   38.6945 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3106   18.1453   38.8228 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2760   21.8722   34.2582 O   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9366   21.3948   33.7509 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8065   21.2185   35.3404 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8524   21.8160   36.1465 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4860   22.8057   35.9169 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7836   19.2737   36.7655 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1805   18.0234   37.1409 O   0  0  0  0  0  0  0  0  0  0  0  0
+    4.8434   17.6212   36.5749 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2783   19.9473   35.6539 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.0301   19.4831   35.0328 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8386   20.2260   39.7196 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  9  1  0
+  3  4  1  0
+  3 11  1  0
+  4  5  1  0
+  6  7  1  0
+  6  8  1  0
+  8  9  2  0
+  8 14  1  0
+  9 10  1  0
+ 11 12  1  0
+ 11 14  2  0
+ 12 13  1  0
+ 14 15  1  0
+  4 16  2  0
+V   16 *
+M  END
+>  <kinase>  (29) 
+DAPK1
+
+>  <family>  (29) 
+DAPK
+
+>  <group>  (29) 
+CAMK
+
+>  <complex_pdb>  (29) 
+8ie5
+
+>  <ligand_pdb>  (29) 
+EZE
+
+>  <alt>  (29) 
+ 
+
+>  <chain>  (29) 
+A
+
+>  <atom.prop.subpocket>  (29) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (29) 
+16 16 16 7 16 3 3 16 16 16 16 3 3 16 16 na
+
 $$$$
 4mq2_altA_chainC
      RDKit          3D
@@ -1491,159 +1966,346 @@ $$$$
   1 18  1  0
 V   18 *
 M  END
->  <kinase>  (23) 
+>  <kinase>  (30) 
 DYRK1A
 
->  <family>  (23) 
+>  <family>  (30) 
 DYRK
 
->  <group>  (23) 
+>  <group>  (30) 
 CMGC
 
->  <complex_pdb>  (23) 
+>  <complex_pdb>  (30) 
 4mq2
 
->  <ligand_pdb>  (23) 
+>  <ligand_pdb>  (30) 
 2C4
 
->  <alt>  (23) 
+>  <alt>  (30) 
 A
 
->  <chain>  (23) 
+>  <chain>  (30) 
 C
 
->  <atom.prop.subpocket>  (23) 
+>  <atom.prop.subpocket>  (30) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (23) 
-16 16 16 16 16 16 6 16 16 16 16 6 3 3 3 3 3 na
+>  <atom.prop.environment>  (30) 
+16 16 16 16 16 16 1 16 16 16 16 1 3 3 3 3 3 na
 
 $$$$
-2ito_chainA
+6s14_altA_chainA
      RDKit          3D
 
- 12 12  0  0  0  0  0  0  0  0999 V2000
-    2.6070   19.5759   40.2313 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.5141   20.5202   40.7005 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6216   20.6812   41.7630 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2796   21.2546   39.8108 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.3828   22.4138   40.4337 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    4.1580   21.0619   38.4421 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9195   21.7946   37.6035 F   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2532   20.1107   37.9630 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1504   19.9516   36.8997 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.4799   19.3640   38.8599 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7856   18.6244   38.4892 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8966   18.8663   41.1059 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 10  1  0
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+    2.0061   20.1053   39.8921 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4531   21.1224   39.0306 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4031   22.1736   39.2733 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0358   17.5161   39.3801 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5599   17.1476   40.2768 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4607   16.6490   38.3975 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3536   15.5811   38.5180 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0358   17.1869   37.2370 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3704   16.4967   36.4767 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2404   18.9094   39.1821 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9427   20.6576   37.8889 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8036   19.3287   38.0107 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1997   18.4984   37.0043 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4294   20.2683   41.2320 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1 10  2  0
   2  3  1  0
-  2  4  1  0
+  2 11  2  0
   4  5  1  0
   4  6  2  0
+  4 10  1  0
   6  7  1  0
   6  8  1  0
   8  9  1  0
-  8 10  2  0
- 10 11  1  0
-  1 12  1  0
-V   12 *
+  8 13  2  0
+ 10 12  1  0
+ 11 12  1  0
+ 12 13  1  0
+ 14  1  1  0
+V   14 *
 M  END
->  <kinase>  (24) 
-EGFR
+>  <kinase>  (31) 
+DYRK1A
 
->  <family>  (24) 
-EGFR
+>  <family>  (31) 
+DYRK
 
->  <group>  (24) 
-TK
+>  <group>  (31) 
+CMGC
 
->  <complex_pdb>  (24) 
-2ito
+>  <complex_pdb>  (31) 
+6s14
 
->  <ligand_pdb>  (24) 
-IRE
+>  <ligand_pdb>  (31) 
+KQW
 
->  <alt>  (24) 
- 
+>  <alt>  (31) 
+A
 
->  <chain>  (24) 
+>  <chain>  (31) 
 A
 
->  <atom.prop.subpocket>  (24) 
-GA GA GA GA GA GA GA GA GA GA GA AP
+>  <atom.prop.subpocket>  (31) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (24) 
-16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (31) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-5edr_altA_chainA
+6uip_chainB
      RDKit          3D
 
- 17 18  0  0  0  0  0  0  0  0999 V2000
-    4.0529   16.9744   40.2990 N   0  0  0  0  0  0  0  0  0  0  0  0
-    4.3996   16.1164   39.8945 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6492   18.1825   39.8843 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1120   19.3211   40.7043 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1145   19.6231   42.0802 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.7250   18.9129   42.7946 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.6169   20.8296   42.5052 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5840   21.0758   43.5562 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.1731   21.7499   41.5990 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.5797   22.6814   41.9644 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.2039   21.4764   40.2590 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.6391   22.1819   39.5666 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.6613   20.2637   39.7940 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5283   19.7163   38.5454 N   0  0  0  0  0  0  0  0  0  0  0  0
-    5.8295   20.1524   37.6857 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9164   18.4699   38.6377 N   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0187   16.8814   41.2280 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  3  4  1  0
-  3 16  2  0
-  4  5  2  0
-  4 13  1  0
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    1.3343   18.2335   40.5150 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2715   16.8821   40.3334 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8579   16.1925   41.0543 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2362   17.6346   38.4559 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8351   17.8929   37.2307 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0441   17.0538   36.5837 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9085   20.1403   37.6104 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1769   21.1314   37.2755 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3157   20.0133   38.8516 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1259   20.8802   39.4672 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9691   18.7355   39.2876 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7980   16.5065   39.1228 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1698   19.1127   36.8000 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8212   15.1147   38.6681 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8158   18.9497   41.7186 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 11  1  0
+  2  3  1  0
+  2 12  1  0
+  4  5  1  0
+  4 11  2  0
+  4 12  1  0
   5  6  1  0
-  5  7  1  0
+  5 13  2  0
   7  8  1  0
   7  9  2  0
+  7 13  1  0
   9 10  1  0
   9 11  1  0
+ 14 12  1  0
+  1 15  1  0
+V   14 *
+V   15 *
+M  END
+>  <kinase>  (32) 
+DYRK1A
+
+>  <family>  (32) 
+DYRK
+
+>  <group>  (32) 
+CMGC
+
+>  <complex_pdb>  (32) 
+6uip
+
+>  <ligand_pdb>  (32) 
+Q8J
+
+>  <alt>  (32) 
+ 
+
+>  <chain>  (32) 
+B
+
+>  <atom.prop.subpocket>  (32) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA FP AP
+
+>  <atom.prop.environment>  (32) 
+16 9 9 9 9 9 9 9 9 9 9 9 9 na na
+
+$$$$
+7a5l_altA_chainA
+     RDKit          3D
+
+ 13 13  0  0  0  0  0  0  0  0999 V2000
+    2.8253   21.4879   36.3614 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3907   22.3941   36.4616 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2760   21.2373   35.4930 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3389   19.4155   37.1555 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0894   20.0287   39.5906 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1847   20.9652   38.5708 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7787   21.9567   38.7063 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8041   20.6230   37.3749 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2698   18.5173   38.1445 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6976   17.5385   37.9849 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6735   18.7891   39.3636 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6624   18.0370   40.1387 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4683   20.4042   40.8874 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  8  1  0
+  4  8  2  0
+  4  9  1  0
+  5  6  2  0
+  5 11  1  0
+  6  7  1  0
+  6  8  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 13  5  1  0
+V   13 *
+M  END
+>  <kinase>  (33) 
+DYRK1A
+
+>  <family>  (33) 
+DYRK
+
+>  <group>  (33) 
+CMGC
+
+>  <complex_pdb>  (33) 
+7a5l
+
+>  <ligand_pdb>  (33) 
+QZW
+
+>  <alt>  (33) 
+A
+
+>  <chain>  (33) 
+A
+
+>  <atom.prop.subpocket>  (33) 
+GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (33) 
+5 5 5 14 16 14 14 14 14 14 14 14 na
+
+$$$$
+1xkk_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+    2.3680   18.8542   39.7165 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2182   18.7275   38.3338 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4238   18.1187   37.9278 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0970   19.3892   37.4811 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9871   19.2964   36.4108 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1167   20.1700   38.0126 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.0255   20.8648   37.1713 O   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6314   20.8806   35.7923 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1784   19.9208   35.5440 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5160   21.0354   35.1745 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2594   20.2867   39.3641 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5135   21.2447   39.9742 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    3.3989   19.6396   40.2230 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5245   19.7419   41.2908 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4851   18.1874   40.5839 *   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6158   22.0022   35.4986 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 13  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6 11  1  0
+  7  8  1  0
+  8  9  1  0
+  8 10  1  0
  11 12  1  0
  11 13  2  0
  13 14  1  0
- 14 15  1  0
- 14 16  1  0
-  1 17  1  0
-V   17 *
+ 15  1  1  0
+  8 16  1  0
+V   15 *
+V   16 *
 M  END
->  <kinase>  (25) 
+>  <kinase>  (34) 
 EGFR
 
->  <family>  (25) 
+>  <family>  (34) 
 EGFR
 
->  <group>  (25) 
+>  <group>  (34) 
 TK
 
->  <complex_pdb>  (25) 
-5edr
+>  <complex_pdb>  (34) 
+1xkk
 
->  <ligand_pdb>  (25) 
-5N4
+>  <ligand_pdb>  (34) 
+FMM
 
->  <alt>  (25) 
+>  <alt>  (34) 
+ 
+
+>  <chain>  (34) 
 A
 
->  <chain>  (25) 
+>  <atom.prop.subpocket>  (34) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP B1
+
+>  <atom.prop.environment>  (34) 
+16 16 16 16 16 16 3 4 4 4 16 16 16 16 na na
+
+$$$$
+2ito_chainA
+     RDKit          3D
+
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    2.6070   19.5759   40.2313 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5141   20.5202   40.7005 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6216   20.6812   41.7630 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2796   21.2546   39.8108 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3828   22.4138   40.4337 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    4.1580   21.0619   38.4421 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9195   21.7946   37.6035 F   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2532   20.1107   37.9630 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1504   19.9516   36.8997 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4799   19.3640   38.8599 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7856   18.6244   38.4892 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8966   18.8663   41.1059 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 10  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6  8  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 12  1  1  0
+V   12 *
+M  END
+>  <kinase>  (35) 
+EGFR
+
+>  <family>  (35) 
+EGFR
+
+>  <group>  (35) 
+TK
+
+>  <complex_pdb>  (35) 
+2ito
+
+>  <ligand_pdb>  (35) 
+IRE
+
+>  <alt>  (35) 
+ 
+
+>  <chain>  (35) 
 A
 
->  <atom.prop.subpocket>  (25) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP
+>  <atom.prop.subpocket>  (35) 
+GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (25) 
-5 5 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (35) 
+16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 5em5_chainA
@@ -1685,101 +2347,109 @@ $$$$
  13 14  1  0
  13 15  2  0
  15 16  1  0
-  1 18  1  0
+ 18  1  1  0
 V   18 *
 M  END
->  <kinase>  (26) 
+>  <kinase>  (36) 
 EGFR
 
->  <family>  (26) 
+>  <family>  (36) 
 EGFR
 
->  <group>  (26) 
+>  <group>  (36) 
 TK
 
->  <complex_pdb>  (26) 
+>  <complex_pdb>  (36) 
 5em5
 
->  <ligand_pdb>  (26) 
+>  <ligand_pdb>  (36) 
 5Q2
 
->  <alt>  (26) 
+>  <alt>  (36) 
  
 
->  <chain>  (26) 
+>  <chain>  (36) 
 A
 
->  <atom.prop.subpocket>  (26) 
+>  <atom.prop.subpocket>  (36) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (26) 
-8 8 8 8 8 8 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (36) 
+4 4 4 8 4 4 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-5ia2_altA_chainA
+8g63_chainA
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    2.9903   19.9962   39.7680 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.1761   20.6814   40.1094 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.5817   20.8453   41.6042 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.8468   20.3475   42.2368 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6198   21.9051   41.8563 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5625   20.3980   41.7657 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9549   21.2278   39.1261 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.8543   21.7697   39.3790 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.5563   21.0696   37.7338 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1643   21.4916   36.9473 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6089   19.8261   38.4079 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7156   19.2730   38.1579 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.3869   20.3718   37.4149 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.0069   20.2148   36.1445 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1949   19.7176   36.0224 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1388   19.3445   40.8486 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 11  1  0
-  2  3  1  0
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+    3.5930   18.8176   40.7492 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1394   20.9229   40.2985 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5951   22.9391   39.0571 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6240   23.4781   38.1216 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9419   22.8601   41.4446 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.2385   23.3541   42.3581 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6846   19.4701   40.2143 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7184   17.4226   39.5748 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1752   21.6231   39.0929 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.8722   21.1327   38.1796 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9784   23.5586   40.2343 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5262   21.5340   41.4805 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5052   20.9897   42.4131 H   0  0  0  0  0  0  0  0  0  0  0  0
+    6.3833   24.8687   40.1895 F   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3505   18.5934   39.4820 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6522   17.5713   40.3545 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9967   16.8435   40.6013 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1370   16.1485   38.8765 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4859   19.3005   41.6979 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  7  2  0
+  1 16  1  0
   2  7  1  0
+  2  9  1  0
+  2 12  2  0
   3  4  1  0
-  3  5  1  0
-  3  6  1  0
-  7  8  1  0
-  7  9  2  0
+  3  9  2  0
+  3 11  1  0
+  5  6  1  0
+  5 11  2  0
+  5 12  1  0
+  7 15  1  0
+  8 15  2  0
+  8 16  1  0
   9 10  1  0
-  9 13  1  0
- 11 12  1  0
- 11 13  2  0
- 13 14  1  0
- 14 15  1  0
-  1 16  1  0
-V   16 *
+ 11 14  1  0
+ 12 13  1  0
+ 16 17  1  0
+  8 18  1  0
+  1 19  1  0
+V   18 *
+V   19 *
 M  END
->  <kinase>  (27) 
-EphA2
+>  <kinase>  (37) 
+EGFR
 
->  <family>  (27) 
-Eph
+>  <family>  (37) 
+EGFR
 
->  <group>  (27) 
+>  <group>  (37) 
 TK
 
->  <complex_pdb>  (27) 
-5ia2
+>  <complex_pdb>  (37) 
+8g63
 
->  <ligand_pdb>  (27) 
-L66
+>  <ligand_pdb>  (37) 
+YXT
 
->  <alt>  (27) 
-A
+>  <alt>  (37) 
+ 
 
->  <chain>  (27) 
+>  <chain>  (37) 
 A
 
->  <atom.prop.subpocket>  (27) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+>  <atom.prop.subpocket>  (37) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP AP
 
->  <atom.prop.environment>  (27) 
-16 16 8 8 8 8 16 16 16 16 16 16 16 3 3 na
+>  <atom.prop.environment>  (37) 
+14 16 16 16 16 16 14 14 16 16 16 16 16 16 14 14 14 na na
 
 $$$$
 4gk4_altB_chainA
@@ -1822,102 +2492,36 @@ $$$$
  14 15  1  0
  14 16  1  0
  14 17  1  0
-  1 18  1  0
+ 18  1  1  0
 V   18 *
 M  END
->  <kinase>  (28) 
+>  <kinase>  (38) 
 EphA3
 
->  <family>  (28) 
+>  <family>  (38) 
 Eph
 
->  <group>  (28) 
+>  <group>  (38) 
 TK
 
->  <complex_pdb>  (28) 
+>  <complex_pdb>  (38) 
 4gk4
 
->  <ligand_pdb>  (28) 
+>  <ligand_pdb>  (38) 
 L90
 
->  <alt>  (28) 
+>  <alt>  (38) 
 B
 
->  <chain>  (28) 
+>  <chain>  (38) 
 A
 
->  <atom.prop.subpocket>  (28) 
+>  <atom.prop.subpocket>  (38) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (28) 
+>  <atom.prop.environment>  (38) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 8 8 8 8 na
 
-$$$$
-4p4c_chainA
-     RDKit          3D
-
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    2.7042   20.0452   40.6844 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5417   19.9268   39.3065 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.7324   19.3232   38.9229 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.3955   20.5663   38.4084 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2237   20.4651   37.3470 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.4615   21.3301   38.8577 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1254   21.8165   38.1583 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6563   21.4557   40.2221 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7924   20.8101   41.0994 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9745   20.9067   42.1596 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.6994   22.1937   40.7271 O   0  0  0  0  0  0  0  0  0  0  0  0
-    5.7244   22.5165   42.1123 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.6174   23.1013   42.3330 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.7373   21.5981   42.6992 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.8377   23.0975   42.3660 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9509   19.4718   41.6202 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  9  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6  8  1  0
-  8  9  2  0
-  8 11  1  0
-  9 10  1  0
- 11 12  1  0
- 12 13  1  0
- 12 14  1  0
- 12 15  1  0
-  1 16  1  0
-V   16 *
-M  END
->  <kinase>  (29) 
-EphA3
-
->  <family>  (29) 
-Eph
-
->  <group>  (29) 
-TK
-
->  <complex_pdb>  (29) 
-4p4c
-
->  <ligand_pdb>  (29) 
-25Q
-
->  <alt>  (29) 
- 
-
->  <chain>  (29) 
-A
-
->  <atom.prop.subpocket>  (29) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP
-
->  <atom.prop.environment>  (29) 
-16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 na
-
 $$$$
 5mja_chainA
      RDKit          3D
@@ -1951,98 +2555,33 @@ $$$$
   1 13  1  0
 V   13 *
 M  END
->  <kinase>  (30) 
+>  <kinase>  (39) 
 EphB1
 
->  <family>  (30) 
+>  <family>  (39) 
 Eph
 
->  <group>  (30) 
+>  <group>  (39) 
 TK
 
->  <complex_pdb>  (30) 
+>  <complex_pdb>  (39) 
 5mja
 
->  <ligand_pdb>  (30) 
+>  <ligand_pdb>  (39) 
 7O3
 
->  <alt>  (30) 
+>  <alt>  (39) 
  
 
->  <chain>  (30) 
+>  <chain>  (39) 
 A
 
->  <atom.prop.subpocket>  (30) 
+>  <atom.prop.subpocket>  (39) 
 GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (30) 
+>  <atom.prop.environment>  (39) 
 16 16 16 16 16 16 16 16 16 16 3 3 na
 
-$$$$
-2vwu_chainA
-     RDKit          3D
-
- 15 16  0  0  0  0  0  0  0  0999 V2000
-    2.9404   19.7153   40.5713 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9679   20.5054   41.0311 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.3913   20.7074   42.3066 O   0  0  0  0  0  0  0  0  0  0  0  0
-    5.3418   21.7801   42.2060 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.2355   21.5455   42.7842 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9028   22.7068   42.5756 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.6717   21.9094   40.8180 O   0  0  0  0  0  0  0  0  0  0  0  0
-    4.7471   21.2332   40.1236 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.5067   21.2017   38.7555 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1201   21.7687   38.0708 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.4560   20.4209   38.2934 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2235   20.3910   37.2392 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7008   19.6733   39.2023 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3865   18.7102   38.6293 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    2.1836   18.9592   41.4901 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 13  1  0
-  2  3  1  0
-  2  8  1  0
-  3  4  1  0
-  4  5  1  0
-  4  6  1  0
-  4  7  1  0
-  7  8  1  0
-  8  9  2  0
-  9 10  1  0
-  9 11  1  0
- 11 12  1  0
- 11 13  2  0
- 13 14  1  0
-  1 15  1  0
-V   15 *
-M  END
->  <kinase>  (31) 
-EphB4
-
->  <family>  (31) 
-Eph
-
->  <group>  (31) 
-TK
-
->  <complex_pdb>  (31) 
-2vwu
-
->  <ligand_pdb>  (31) 
-7X1
-
->  <alt>  (31) 
- 
-
->  <chain>  (31) 
-A
-
->  <atom.prop.subpocket>  (31) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
-
->  <atom.prop.environment>  (31) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
-
 $$$$
 2xvd_altA_chainA
      RDKit          3D
@@ -2085,35 +2624,35 @@ $$$$
  15 16  1  0
  15 17  1  0
  15 18  1  0
-  1 19  1  0
+ 19  1  1  0
 V   19 *
 M  END
->  <kinase>  (32) 
+>  <kinase>  (40) 
 EphB4
 
->  <family>  (32) 
+>  <family>  (40) 
 Eph
 
->  <group>  (32) 
+>  <group>  (40) 
 TK
 
->  <complex_pdb>  (32) 
+>  <complex_pdb>  (40) 
 2xvd
 
->  <ligand_pdb>  (32) 
+>  <ligand_pdb>  (40) 
 AS6
 
->  <alt>  (32) 
+>  <alt>  (40) 
 A
 
->  <chain>  (32) 
+>  <chain>  (40) 
 A
 
->  <atom.prop.subpocket>  (32) 
+>  <atom.prop.subpocket>  (40) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (32) 
-16 16 16 16 8 8 8 3 3 16 16 16 16 16 8 8 8 8 na
+>  <atom.prop.environment>  (40) 
+16 16 16 16 4 4 4 3 3 16 16 16 16 16 8 8 8 8 na
 
 $$$$
 3pp0_altA_chainA
@@ -2143,36 +2682,99 @@ $$$$
   7  9  2  0
   9 10  1  0
   6 11  1  0
-  1 12  1  0
+ 12  1  1  0
 V   11 *
 V   12 *
 M  END
->  <kinase>  (33) 
+>  <kinase>  (41) 
 ErbB2
 
->  <family>  (33) 
+>  <family>  (41) 
 EGFR
 
->  <group>  (33) 
+>  <group>  (41) 
 TK
 
->  <complex_pdb>  (33) 
+>  <complex_pdb>  (41) 
 3pp0
 
->  <ligand_pdb>  (33) 
+>  <ligand_pdb>  (41) 
 03Q
 
->  <alt>  (33) 
+>  <alt>  (41) 
 A
 
->  <chain>  (33) 
+>  <chain>  (41) 
 A
 
->  <atom.prop.subpocket>  (33) 
+>  <atom.prop.subpocket>  (41) 
 GA GA GA GA GA GA GA GA GA GA B1 AP
 
->  <atom.prop.environment>  (33) 
-16 16 16 16 16 3 16 16 16 16 na na
+>  <atom.prop.environment>  (41) 
+16 14 14 14 14 3 14 14 14 14 na na
+
+$$$$
+4fv2_altB_chainA
+     RDKit          3D
+
+ 14 14  0  0  0  0  0  0  0  0999 V2000
+    3.7587   19.2969   37.8199 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9975   18.6155   38.5065 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5938   17.3959   38.1442 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8425   16.9624   38.6616 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4463   19.1367   39.7733 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5595   18.5904   40.6667 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1250   17.6030   40.6171 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7847   20.4002   40.1953 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4189   21.0314   39.7267 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1191   20.6529   41.3509 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2019   21.5607   41.9302 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3194   19.5734   41.6745 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1888   16.6635   37.0363 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5271   19.3713   42.7766 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  2  3  1  0
+  2  5  1  0
+  3  4  1  0
+  5  6  2  0
+  5  8  1  0
+  6  7  1  0
+  6 12  1  0
+  8  9  1  0
+  8 10  1  0
+ 10 11  1  0
+ 10 12  2  0
+  3 13  1  0
+ 12 14  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (42) 
+Erk2
+
+>  <family>  (42) 
+MAPK
+
+>  <group>  (42) 
+CMGC
+
+>  <complex_pdb>  (42) 
+4fv2
+
+>  <ligand_pdb>  (42) 
+EK5
+
+>  <alt>  (42) 
+B
+
+>  <chain>  (42) 
+A
+
+>  <atom.prop.subpocket>  (42) 
+GA GA GA GA GA GA GA GA GA GA GA GA B2 AP
+
+>  <atom.prop.environment>  (42) 
+1 1 5 5 14 14 14 14 14 14 14 16 na na
 
 $$$$
 2fgi_chainB
@@ -2218,34 +2820,34 @@ $$$$
  14 16  1  0
  14 17  1  0
  14 19  1  0
-  1 20  1  0
+ 20  1  1  0
 V   20 *
 M  END
->  <kinase>  (34) 
+>  <kinase>  (43) 
 FGFR1
 
->  <family>  (34) 
+>  <family>  (43) 
 FGFR
 
->  <group>  (34) 
+>  <group>  (43) 
 TK
 
->  <complex_pdb>  (34) 
+>  <complex_pdb>  (43) 
 2fgi
 
->  <ligand_pdb>  (34) 
+>  <ligand_pdb>  (43) 
 PD1
 
->  <alt>  (34) 
+>  <alt>  (43) 
  
 
->  <chain>  (34) 
+>  <chain>  (43) 
 B
 
->  <atom.prop.subpocket>  (34) 
+>  <atom.prop.subpocket>  (43) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (34) 
+>  <atom.prop.environment>  (43) 
 16 16 16 16 16 16 16 16 16 3 3 3 3 3 3 3 3 3 3 na
 
 $$$$
@@ -2292,106 +2894,349 @@ $$$$
  16 17  1  0
  17 18  1  0
  18 19  1  0
-  1 20  1  0
+ 20  1  1  0
 V   20 *
 M  END
->  <kinase>  (35) 
+>  <kinase>  (44) 
+FGFR1
+
+>  <family>  (44) 
+FGFR
+
+>  <group>  (44) 
+TK
+
+>  <complex_pdb>  (44) 
+4nka
+
+>  <ligand_pdb>  (44) 
+2K7
+
+>  <alt>  (44) 
+ 
+
+>  <chain>  (44) 
+B
+
+>  <atom.prop.subpocket>  (44) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (44) 
+16 16 16 16 16 16 16 3 3 3 3 3 3 3 3 3 16 16 3 na
+
+$$$$
+4rwl_chainB
+     RDKit          3D
+
+ 25 26  0  0  0  0  0  0  0  0999 V2000
+    3.9971   20.9534   38.6132 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0477   19.2993   40.6385 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6939   22.2436   33.8036 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3900   22.4647   32.9945 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9512   23.0386   33.8712 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1943   21.2956   33.6043 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4068   22.1550   35.0316 N   0  0  0  0  0  0  0  0  0  0  0  0
+    5.4073   22.2911   35.0545 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6857   21.8706   36.2323 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4732   21.7088   36.1987 O   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4573   21.8009   37.5518 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6106   22.5840   37.7269 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9487   23.2238   36.9252 H   0  0  0  0  0  0  0  0  0  0  0  0
+    6.3342   22.5433   38.9433 C   0  0  0  0  0  0  0  0  0  0  0  0
+    7.2282   23.1350   39.0736 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.8636   21.7162   39.9769 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.3937   21.6816   40.9172 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6823   20.9149   39.7950 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8208   20.1513   38.4342 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2955   20.1922   37.4914 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3408   19.3262   39.4374 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4537   18.7270   39.2948 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2072   20.0586   40.8406 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7396   19.9990   41.7784 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5690   18.4562   41.6518 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1 11  1  0
+  1 18  1  0
+  1 19  2  0
+  2 21  2  0
+  2 23  1  0
+  3  4  1  0
+  3  5  1  0
+  3  6  1  0
+  3  7  1  0
+  7  8  1  0
+  7  9  1  0
+  9 10  2  0
+  9 11  1  0
+ 11 12  2  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  1  0
+ 14 16  2  0
+ 16 17  1  0
+ 16 18  1  0
+ 18 23  2  0
+ 19 20  1  0
+ 19 21  1  0
+ 21 22  1  0
+ 23 24  1  0
+  2 25  1  0
+V   25 *
+M  END
+>  <kinase>  (45) 
+FGFR1
+
+>  <family>  (45) 
+FGFR
+
+>  <group>  (45) 
+TK
+
+>  <complex_pdb>  (45) 
+4rwl
+
+>  <ligand_pdb>  (45) 
+3ZC
+
+>  <alt>  (45) 
+ 
+
+>  <chain>  (45) 
+B
+
+>  <atom.prop.subpocket>  (45) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (45) 
+16 16 5 5 5 5 5 5 1 1 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+5b7v_chainB
+     RDKit          3D
+
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    4.1421   21.3696   37.8785 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7483   21.0353   37.8599 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2359   21.5097   36.6440 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2784   21.4652   36.3256 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3264   22.0562   35.9658 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4695   22.0177   36.6965 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9460   20.1235   40.0351 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1275   20.4018   38.9379 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0791   20.1429   38.9243 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9523   21.0601   39.0093 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9979   21.3293   39.0370 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3521   20.4001   40.0757 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9411   20.0978   40.9290 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1907   22.6413   34.6124 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1615   22.5312   34.2705 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8594   22.1242   33.9243 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4511   23.6992   34.6461 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3135   19.4322   41.1122 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  6  1  0
+  1 10  1  0
+  2  3  1  0
+  2  8  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  2  0
+  5 14  1  0
+  7  8  2  0
+  7 12  1  0
+  8  9  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18  7  1  0
+V   18 *
+M  END
+>  <kinase>  (46) 
+FGFR1
+
+>  <family>  (46) 
+FGFR
+
+>  <group>  (46) 
+TK
+
+>  <complex_pdb>  (46) 
+5b7v
+
+>  <ligand_pdb>  (46) 
+LWJ
+
+>  <alt>  (46) 
+ 
+
+>  <chain>  (46) 
+B
+
+>  <atom.prop.subpocket>  (46) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (46) 
+14 14 14 14 14 14 16 14 14 14 14 14 14 8 8 8 8 na
+
+$$$$
+7ozf_altB_chainA
+     RDKit          3D
+
+ 19 19  0  0  0  0  0  0  0  0999 V2000
+    3.2436   19.2165   39.6784 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0492   18.3829   38.5797 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2730   17.6324   38.6075 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8457   18.5090   37.4481 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6893   17.8548   36.6031 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2365   20.1884   39.6192 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3816   20.8517   40.4591 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.0423   20.3193   38.5001 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.8403   19.4725   37.4020 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.4584   19.5707   36.5219 H   0  0  0  0  0  0  0  0  0  0  0  0
+    6.0096   21.2906   38.5077 O   0  0  0  0  0  0  0  0  0  0  0  0
+    6.8488   21.5312   37.3857 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.2297   21.8074   36.5322 H   0  0  0  0  0  0  0  0  0  0  0  0
+    7.4015   20.6207   37.1542 H   0  0  0  0  0  0  0  0  0  0  0  0
+    7.8286   22.6435   37.6619 C   0  0  0  0  0  0  0  0  0  0  0  0
+    7.2836   23.5583   37.8945 H   0  0  0  0  0  0  0  0  0  0  0  0
+    8.4518   22.8054   36.7824 H   0  0  0  0  0  0  0  0  0  0  0  0
+    8.4588   22.3707   38.5084 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3585   19.0505   40.8559 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  6  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  9  2  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+  8 11  1  0
+  9 10  1  0
+ 11 12  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 12 15  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 19  1  1  0
+V   19 *
+M  END
+>  <kinase>  (47) 
 FGFR1
 
->  <family>  (35) 
+>  <family>  (47) 
 FGFR
 
->  <group>  (35) 
+>  <group>  (47) 
 TK
 
->  <complex_pdb>  (35) 
-4nka
-
->  <ligand_pdb>  (35) 
-2K7
+>  <complex_pdb>  (47) 
+7ozf
 
->  <alt>  (35) 
- 
+>  <ligand_pdb>  (47) 
+466
 
->  <chain>  (35) 
+>  <alt>  (47) 
 B
 
->  <atom.prop.subpocket>  (35) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+>  <chain>  (47) 
+A
 
->  <atom.prop.environment>  (35) 
-16 16 16 16 16 16 16 3 3 3 3 3 3 3 3 3 16 16 3 na
+>  <atom.prop.subpocket>  (47) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (47) 
+16 16 16 16 16 16 16 16 16 16 3 4 4 4 4 4 4 4 na
 
 $$$$
-5b7v_chainB
+6lvm_chainA
      RDKit          3D
 
- 18 19  0  0  0  0  0  0  0  0999 V2000
-    4.1421   21.3696   37.8785 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.7483   21.0353   37.8599 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2359   21.5097   36.6440 N   0  0  0  0  0  0  0  0  0  0  0  0
-    1.2784   21.4652   36.3256 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.3264   22.0562   35.9658 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.4695   22.0177   36.6965 N   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9460   20.1235   40.0351 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1275   20.4018   38.9379 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0791   20.1429   38.9243 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9523   21.0601   39.0093 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.9979   21.3293   39.0370 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.3521   20.4001   40.0757 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9411   20.0978   40.9290 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1907   22.6413   34.6124 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1615   22.5312   34.2705 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.8594   22.1242   33.9243 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.4511   23.6992   34.6461 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.3135   19.4322   41.1122 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  6  1  0
-  1 10  1  0
-  2  3  1  0
-  2  8  1  0
+ 26 26  0  0  0  0  0  0  0  0999 V2000
+    1.8835   21.4663   37.2486 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8617   21.1931   37.0303 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7240   21.5728   38.7810 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1389   21.3842   39.7601 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9595   22.4256   36.5447 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.5589   22.8967   35.7797 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4143   21.2145   38.4913 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6539   22.0642   36.2893 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4897   22.1738   37.8005 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1027   22.6433   34.1923 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6989   22.8416   33.1994 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8162   21.8212   34.1367 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6051   23.5359   34.5651 H   0  0  0  0  0  0  0  0  0  0  0  0
+    6.4872   22.9313   36.9163 C   0  0  0  0  0  0  0  0  0  0  0  0
+    7.5110   23.2124   37.1631 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9748   23.7824   36.4678 H   0  0  0  0  0  0  0  0  0  0  0  0
+    6.4985   22.1008   36.2104 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5016   20.5675   39.4811 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.3831   19.5142   39.2267 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5298   21.0602   39.4504 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0695   20.6815   40.8590 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0792   20.2709   40.8563 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1064   21.7351   41.1360 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0473   22.2941   35.0702 O   0  0  0  0  0  0  0  0  0  0  0  0
+    5.7988   22.5339   38.1118 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2599   19.9507   41.8689 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  7  2  0
+  1  8  1  0
   3  4  1  0
-  3  5  1  0
-  5  6  2  0
-  5 14  1  0
-  7  8  2  0
-  7 12  1  0
-  8  9  1  0
+  3  7  1  0
+  3  9  2  0
+  5  6  1  0
+  5  8  2  0
+  5  9  1  0
+  7 18  1  0
+  8 24  1  0
+  9 25  1  0
  10 11  1  0
- 10 12  2  0
- 12 13  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 10 24  1  0
  14 15  1  0
  14 16  1  0
  14 17  1  0
-  7 18  1  0
-V   18 *
+ 14 25  1  0
+ 18 19  1  0
+ 18 20  1  0
+ 18 21  1  0
+ 21 22  1  0
+ 21 23  1  0
+ 26 21  1  0
+V   26 *
 M  END
->  <kinase>  (36) 
-FGFR1
+>  <kinase>  (48) 
+FGFR3
 
->  <family>  (36) 
+>  <family>  (48) 
 FGFR
 
->  <group>  (36) 
+>  <group>  (48) 
 TK
 
->  <complex_pdb>  (36) 
-5b7v
+>  <complex_pdb>  (48) 
+6lvm
 
->  <ligand_pdb>  (36) 
-LWJ
+>  <ligand_pdb>  (48) 
+EVR
 
->  <alt>  (36) 
+>  <alt>  (48) 
  
 
->  <chain>  (36) 
-B
+>  <chain>  (48) 
+A
 
->  <atom.prop.subpocket>  (36) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+>  <atom.prop.subpocket>  (48) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (36) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 8 8 8 8 na
+>  <atom.prop.environment>  (48) 
+16 16 16 16 16 16 16 16 16 3 3 3 3 3 3 3 3 8 8 8 8 8 8 3 3 na
 
 $$$$
 3vrz_chainA
@@ -2433,35 +3278,35 @@ $$$$
  13 15  1  0
  15 16  1  0
  15 17  1  0
-  1 18  1  0
+ 18  1  1  0
 V   17 *
 V   18 *
 M  END
->  <kinase>  (37) 
+>  <kinase>  (49) 
 HCK
 
->  <family>  (37) 
+>  <family>  (49) 
 Src
 
->  <group>  (37) 
+>  <group>  (49) 
 TK
 
->  <complex_pdb>  (37) 
+>  <complex_pdb>  (49) 
 3vrz
 
->  <ligand_pdb>  (37) 
+>  <ligand_pdb>  (49) 
 VRZ
 
->  <alt>  (37) 
+>  <alt>  (49) 
  
 
->  <chain>  (37) 
+>  <chain>  (49) 
 A
 
->  <atom.prop.subpocket>  (37) 
+>  <atom.prop.subpocket>  (49) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA B2 AP
 
->  <atom.prop.environment>  (37) 
+>  <atom.prop.environment>  (49) 
 16 16 16 16 16 16 16 16 16 16 5 5 1 1 5 5 na na
 
 $$$$
@@ -2499,34 +3344,34 @@ $$$$
  11 12  1  0
  12 13  2  0
  13 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
->  <kinase>  (38) 
+>  <kinase>  (50) 
 HCK
 
->  <family>  (38) 
+>  <family>  (50) 
 Src
 
->  <group>  (38) 
+>  <group>  (50) 
 TK
 
->  <complex_pdb>  (38) 
+>  <complex_pdb>  (50) 
 3vs7
 
->  <ligand_pdb>  (38) 
+>  <ligand_pdb>  (50) 
 KS1
 
->  <alt>  (38) 
+>  <alt>  (50) 
  
 
->  <chain>  (38) 
+>  <chain>  (50) 
 B
 
->  <atom.prop.subpocket>  (38) 
+>  <atom.prop.subpocket>  (50) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (38) 
+>  <atom.prop.environment>  (50) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -2544,7 +3389,7 @@ $$$$
     0.9016   17.5240   39.8568 C   0  0  0  0  0  0  0  0  0  0  0  0
    -0.0092   16.9436   39.8568 H   0  0  0  0  0  0  0  0  0  0  0  0
     2.9784   18.1251   38.8076 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.1063   18.0220   37.4232 S   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1063   18.0220   37.4232 S   0  0  0  0  0  6  0  0  0  0  0  0
     5.2223   17.3257   37.9407 O   0  0  0  0  0  0  0  0  0  0  0  0
     3.3395   17.4659   36.3638 O   0  0  0  0  0  0  0  0  0  0  0  0
     4.5638   19.7552   37.0473 C   0  0  0  0  0  0  0  0  0  0  0  0
@@ -2569,34 +3414,34 @@ $$$$
  14 15  1  0
  14 16  1  0
  14 17  1  0
-  7 18  1  0
+ 18  7  1  0
 V   18 *
 M  END
->  <kinase>  (39) 
+>  <kinase>  (51) 
 HGK
 
->  <family>  (39) 
+>  <family>  (51) 
 STE20
 
->  <group>  (39) 
+>  <group>  (51) 
 STE
 
->  <complex_pdb>  (39) 
+>  <complex_pdb>  (51) 
 5di1
 
->  <ligand_pdb>  (39) 
+>  <ligand_pdb>  (51) 
 5DF
 
->  <alt>  (39) 
+>  <alt>  (51) 
  
 
->  <chain>  (39) 
+>  <chain>  (51) 
 A
 
->  <atom.prop.subpocket>  (39) 
+>  <atom.prop.subpocket>  (51) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (39) 
+>  <atom.prop.environment>  (51) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -2632,34 +3477,34 @@ $$$$
  10 11  1  0
  10 12  2  0
  12 13  1  0
-  1 14  1  0
+ 14  1  1  0
 V   14 *
 M  END
->  <kinase>  (40) 
+>  <kinase>  (52) 
 IRAK4
 
->  <family>  (40) 
+>  <family>  (52) 
 IRAK
 
->  <group>  (40) 
+>  <group>  (52) 
 TKL
 
->  <complex_pdb>  (40) 
+>  <complex_pdb>  (52) 
 4xs2
 
->  <ligand_pdb>  (40) 
+>  <ligand_pdb>  (52) 
 42P
 
->  <alt>  (40) 
+>  <alt>  (52) 
  
 
->  <chain>  (40) 
+>  <chain>  (52) 
 C
 
->  <atom.prop.subpocket>  (40) 
+>  <atom.prop.subpocket>  (52) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (40) 
+>  <atom.prop.environment>  (52) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
@@ -2690,34 +3535,34 @@ $$$$
   7 10  1  0
   8  9  1  0
  10 11  1  0
-  1 12  1  0
+ 12  1  1  0
 V   12 *
 M  END
->  <kinase>  (41) 
+>  <kinase>  (53) 
 IRAK4
 
->  <family>  (41) 
+>  <family>  (53) 
 IRAK
 
->  <group>  (41) 
+>  <group>  (53) 
 TKL
 
->  <complex_pdb>  (41) 
+>  <complex_pdb>  (53) 
 5t1s
 
->  <ligand_pdb>  (41) 
+>  <ligand_pdb>  (53) 
 76Q
 
->  <alt>  (41) 
+>  <alt>  (53) 
  
 
->  <chain>  (41) 
+>  <chain>  (53) 
 C
 
->  <atom.prop.subpocket>  (41) 
+>  <atom.prop.subpocket>  (53) 
 GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (41) 
+>  <atom.prop.environment>  (53) 
 16 16 16 16 16 16 16 16 16 3 3 na
 
 $$$$
@@ -2762,33 +3607,97 @@ $$$$
   1 17  1  0
 V   17 *
 M  END
->  <kinase>  (42) 
+>  <kinase>  (54) 
 IRAK4
 
->  <family>  (42) 
+>  <family>  (54) 
 IRAK
 
->  <group>  (42) 
+>  <group>  (54) 
 TKL
 
->  <complex_pdb>  (42) 
+>  <complex_pdb>  (54) 
 5w84
 
->  <ligand_pdb>  (42) 
+>  <ligand_pdb>  (54) 
 9YY
 
->  <alt>  (42) 
+>  <alt>  (54) 
  
 
->  <chain>  (42) 
+>  <chain>  (54) 
 A
 
->  <atom.prop.subpocket>  (42) 
+>  <atom.prop.subpocket>  (54) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (42) 
+>  <atom.prop.environment>  (54) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+3qgy_altA_chainB
+     RDKit          3D
+
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    2.6222   20.7411   36.6806 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9873   20.4807   35.7756 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2274   18.6469   37.6563 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9326   20.1877   38.9353 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2382   17.7476   38.6813 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7624   16.8107   38.5634 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5970   19.8531   37.7913 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9192   19.2974   39.9832 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5745   18.0255   39.8916 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5597   17.3181   40.7076 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0675   22.0759   36.9696 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7392   22.1158   38.0082 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2189   22.2667   36.3127 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8343   22.8322   36.8016 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1292   19.7103   41.1377 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  7  1  0
+  1 11  1  0
+  3  5  2  0
+  3  7  1  0
+  4  7  2  0
+  4  8  1  0
+  5  6  1  0
+  5  9  1  0
+  8  9  2  0
+  9 10  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 15  8  1  0
+V   15 *
+M  END
+>  <kinase>  (55) 
+ITK
+
+>  <family>  (55) 
+Tec
+
+>  <group>  (55) 
+TK
+
+>  <complex_pdb>  (55) 
+3qgy
+
+>  <ligand_pdb>  (55) 
+L7O
+
+>  <alt>  (55) 
+A
+
+>  <chain>  (55) 
+B
+
+>  <atom.prop.subpocket>  (55) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (55) 
+5 5 14 14 14 14 14 14 14 14 5 5 5 5 na
+
 $$$$
 5tq3_altB_chainB
      RDKit          3D
@@ -2831,216 +3740,171 @@ $$$$
  12 15  1  0
  16 17  1  0
  17 18  1  0
-  7 19  1  0
+ 19  7  1  0
 V   19 *
 M  END
->  <kinase>  (43) 
+>  <kinase>  (56) 
 JAK2
 
->  <family>  (43) 
+>  <family>  (56) 
 JakA
 
->  <group>  (43) 
+>  <group>  (56) 
 TK
 
->  <complex_pdb>  (43) 
+>  <complex_pdb>  (56) 
 5tq3
 
->  <ligand_pdb>  (43) 
+>  <ligand_pdb>  (56) 
 7GZ
 
->  <alt>  (43) 
+>  <alt>  (56) 
 B
 
->  <chain>  (43) 
+>  <chain>  (56) 
 B
 
->  <atom.prop.subpocket>  (43) 
+>  <atom.prop.subpocket>  (56) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (43) 
+>  <atom.prop.environment>  (56) 
 16 16 16 16 16 16 16 8 8 8 8 8 8 8 16 16 3 3 na
 
 $$$$
-1pmn_chainA
+5tq8_chainA
      RDKit          3D
 
- 12 12  0  0  0  0  0  0  0  0999 V2000
-    2.9135   18.8655   41.4529 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.4421   19.5604   42.5663 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1730   19.2365   43.5608 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2995   20.6501   42.4197 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6427   21.1123   41.1220 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.1346   20.4239   39.9745 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.4098   20.7485   38.9819 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2528   19.2938   40.1489 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8545   18.7783   39.2876 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.8529   21.3768   43.8692 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    5.6733   22.4756   40.8607 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    1.9818   17.7171   41.6442 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  8  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  2  0
-  4 10  1  0
-  5  6  1  0
-  5 11  1  0
+ 19 19  0  0  0  0  0  0  0  0999 V2000
+    3.9474   21.1848   36.7427 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9749   21.1019   36.4204 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0156   21.6794   35.8829 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7032   21.7463   36.3040 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2724   20.8655   38.4681 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.0937   21.3230   40.0194 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.8770   20.9241   40.6641 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2196   21.5719   40.6212 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.4573   22.2200   39.5183 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7110   20.2744   38.9738 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3551   19.3800   39.4851 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5928   20.0281   38.3823 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6013   20.7843   38.0280 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2967   22.0439   34.5761 O   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5361   22.3196   34.0592 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8136   22.2144   35.4221 F   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2996   21.3459   37.6011 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2659   21.4121   37.9069 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7164   20.4056   39.7914 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1 13  1  0
+  3  4  1  0
+  3 14  1  0
+  4 16  1  0
+  4 17  2  0
+  5 13  2  0
+  5 17  1  0
   6  7  1  0
-  6  8  2  0
-  8  9  1  0
-  1 12  1  0
-V   12 *
+  6  8  1  0
+  6  9  1  0
+  6 10  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 14 15  1  0
+ 17 18  1  0
+  5 19  1  0
+V   19 *
 M  END
->  <kinase>  (44) 
-JNK3
+>  <kinase>  (57) 
+JAK2
 
->  <family>  (44) 
-MAPK
+>  <family>  (57) 
+JakA
 
->  <group>  (44) 
-CMGC
+>  <group>  (57) 
+TK
 
->  <complex_pdb>  (44) 
-1pmn
+>  <complex_pdb>  (57) 
+5tq8
 
->  <ligand_pdb>  (44) 
-984
+>  <ligand_pdb>  (57) 
+7GS
 
->  <alt>  (44) 
+>  <alt>  (57) 
  
 
->  <chain>  (44) 
+>  <chain>  (57) 
 A
 
->  <atom.prop.subpocket>  (44) 
-GA GA GA GA GA GA GA GA GA GA GA FP
+>  <atom.prop.subpocket>  (57) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (44) 
-16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (57) 
+16 16 16 16 16 8 8 8 8 8 8 8 16 3 3 16 16 16 na
 
 $$$$
-3fv8_altB_chainA
+7khk_chainA
      RDKit          3D
 
-  9  9  0  0  0  0  0  0  0  0999 V2000
-    1.2177   20.7434   42.3015 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0487   21.6964   42.7808 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1438   20.4574   41.2924 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8210   21.1805   40.8625 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.0762   19.0734   40.9020 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.0362   18.5114   41.7483 O   0  0  0  0  0  0  0  0  0  0  0  0
-    0.5212   19.4743   42.5740 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1125   18.0804   39.5428 Br  0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5896   19.1434   43.5463 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    5.2650   22.5978   37.1131 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9039   22.8878   37.9473 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.8687   23.4916   36.6313 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.8471   22.0241   36.3920 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8791   21.3742   38.9594 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2311   21.2990   36.7613 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.7192   20.6141   38.8811 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6942   21.7246   40.1490 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2467   21.2823   41.0391 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7281   22.8085   40.2598 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.7063   21.3405   40.0220 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1439   21.7685   37.6146 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3949   20.6138   37.5463 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5844   20.1314   37.1850 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9102   19.9136   39.8684 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   1  3  1  0
-  1  7  2  0
-  3  4  1  0
-  3  5  2  0
-  5  6  1  0
+  1  4  1  0
+  1 12  1  0
+  5  7  2  0
   5  8  1  0
-  6  7  1  0
-  7  9  1  0
-V    9 *
-M  END
->  <kinase>  (45) 
-JNK3
-
->  <family>  (45) 
-MAPK
-
->  <group>  (45) 
-CMGC
-
->  <complex_pdb>  (45) 
-3fv8
-
->  <ligand_pdb>  (45) 
-JK3
-
->  <alt>  (45) 
-B
-
->  <chain>  (45) 
-A
-
->  <atom.prop.subpocket>  (45) 
-GA GA GA GA GA GA GA GA AP
-
->  <atom.prop.environment>  (45) 
-14 14 14 14 14 14 14 14 na
-
-$$$$
-3oy1_chainA
-     RDKit          3D
-
- 18 19  0  0  0  0  0  0  0  0999 V2000
-    5.0309   22.0869   41.7865 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.4132   22.5548   42.6817 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2643   20.9688   41.8626 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7534   20.3442   40.6455 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0738   20.9145   39.4365 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7231   20.4670   38.5183 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.8351   22.0464   39.3968 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.0657   22.5030   38.4456 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.3095   22.6089   40.5525 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.9243   23.4945   40.4874 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9759   19.2128   40.7390 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6184   18.7682   39.8220 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6275   18.6162   41.9162 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1519   19.2516   43.0315 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9266   18.8126   43.9922 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9350   20.3919   43.0359 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2785   20.8150   43.9683 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.8728   17.5286   41.9755 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  2  0
-  1  9  1  0
-  3  4  1  0
-  3 16  1  0
-  4  5  2  0
-  4 11  1  0
-  5  6  1  0
-  5  7  1  0
-  7  8  1  0
-  7  9  2  0
-  9 10  1  0
- 11 12  1  0
- 11 13  2  0
+  5 12  1  0
+  6 12  2  0
+  6 13  1  0
+  7 13  1  0
+  8  9  1  0
+  8 10  1  0
+  8 11  1  0
  13 14  1  0
- 14 15  1  0
- 14 16  2  0
- 16 17  1  0
- 13 18  1  0
-V   18 *
+  7 15  1  0
+V   15 *
 M  END
->  <kinase>  (46) 
-JNK3
+>  <kinase>  (58) 
+KIT
 
->  <family>  (46) 
-MAPK
+>  <family>  (58) 
+PDGFR
 
->  <group>  (46) 
-CMGC
+>  <group>  (58) 
+TK
 
->  <complex_pdb>  (46) 
-3oy1
+>  <complex_pdb>  (58) 
+7khk
 
->  <ligand_pdb>  (46) 
-589
+>  <ligand_pdb>  (58) 
+WEJ
 
->  <alt>  (46) 
+>  <alt>  (58) 
  
 
->  <chain>  (46) 
+>  <chain>  (58) 
 A
 
->  <atom.prop.subpocket>  (46) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP
+>  <atom.prop.subpocket>  (58) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (46) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (58) 
+8 8 8 8 16 14 14 8 8 8 8 14 14 14 na
 
 $$$$
 5kkr_chainB
@@ -3078,37 +3942,96 @@ $$$$
  11 13  1  0
  13 14  1  0
  14 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   15 *
 V   16 *
 M  END
->  <kinase>  (47) 
+>  <kinase>  (59) 
 KSR2
 
->  <family>  (47) 
+>  <family>  (59) 
 RAF
 
->  <group>  (47) 
+>  <group>  (59) 
 TKL
 
->  <complex_pdb>  (47) 
+>  <complex_pdb>  (59) 
 5kkr
 
->  <ligand_pdb>  (47) 
+>  <ligand_pdb>  (59) 
 6U7
 
->  <alt>  (47) 
+>  <alt>  (59) 
  
 
->  <chain>  (47) 
+>  <chain>  (59) 
 B
 
->  <atom.prop.subpocket>  (47) 
+>  <atom.prop.subpocket>  (59) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA B1 AP
 
->  <atom.prop.environment>  (47) 
+>  <atom.prop.environment>  (59) 
 16 16 8 8 8 8 16 16 16 16 16 16 16 3 na na
 
+$$$$
+8aau_altB_chainL
+     RDKit          3D
+
+ 12 12  0  0  0  0  0  0  0  0999 V2000
+    4.5329   21.9765   37.7314 F   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7283   20.1824   39.0427 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9306   20.8743   38.3416 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3478   20.1661   37.6258 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9200   20.6519   40.0984 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9363   21.6321   40.5516 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4141   18.5692   39.5702 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0945   19.5773   40.4315 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.8454   21.2311   39.2400 F   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4227   18.9282   38.6904 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9321   17.2125   39.5034 *   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0650   19.5240   41.4524 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  3  1  0
+  2  3  1  0
+  2  5  1  0
+  2 10  2  0
+  3  4  1  0
+  3  9  1  0
+  5  6  1  0
+  5  8  2  0
+  7  8  1  0
+  7 10  1  0
+  7 11  1  0
+ 12  8  1  0
+V   11 *
+V   12 *
+M  END
+>  <kinase>  (60) 
+LIMK1
+
+>  <family>  (60) 
+LISK
+
+>  <group>  (60) 
+TKL
+
+>  <complex_pdb>  (60) 
+8aau
+
+>  <ligand_pdb>  (60) 
+LH0
+
+>  <alt>  (60) 
+B
+
+>  <chain>  (60) 
+L
+
+>  <atom.prop.subpocket>  (60) 
+GA GA GA GA GA GA GA GA GA GA FP AP
+
+>  <atom.prop.environment>  (60) 
+8 14 8 8 14 14 9 14 8 14 na na
+
 $$$$
 2j7t_altA_chainA
      RDKit          3D
@@ -3147,114 +4070,91 @@ $$$$
  13 14  1  0
  13 15  2  0
  15 16  1  0
-  1 17  1  0
+ 17  1  1  0
 V   17 *
 M  END
->  <kinase>  (48) 
+>  <kinase>  (61) 
 LOK
 
->  <family>  (48) 
+>  <family>  (61) 
 STE20
 
->  <group>  (48) 
+>  <group>  (61) 
 STE
 
->  <complex_pdb>  (48) 
+>  <complex_pdb>  (61) 
 2j7t
 
->  <ligand_pdb>  (48) 
+>  <ligand_pdb>  (61) 
 274
 
->  <alt>  (48) 
+>  <alt>  (61) 
 A
 
->  <chain>  (48) 
+>  <chain>  (61) 
 A
 
->  <atom.prop.subpocket>  (48) 
+>  <atom.prop.subpocket>  (61) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (48) 
-5 5 5 5 5 16 16 16 16 16 16 16 16 16 16 16 na
-
-$$$$
-4use_altB_chainA
-     RDKit          3D
-
- 22 23  0  0  0  0  0  0  0  0999 V2000
-    2.5462   17.8930   40.3853 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.5737   18.6202   40.9565 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.8803   18.4141   41.9713 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2132   19.6164   40.2273 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.2356   20.3407   40.8288 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5167   20.1218   41.8483 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.8992   21.3420   40.1339 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.6899   21.8993   40.6140 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5468   21.6276   38.8212 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.2092   22.6319   38.1752 O   0  0  0  0  0  0  0  0  0  0  0  0
-    7.1971   22.1937   37.2345 C   0  0  0  0  0  0  0  0  0  0  0  0
-    7.6689   23.0609   36.7726 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.7214   21.5858   36.4648 H   0  0  0  0  0  0  0  0  0  0  0  0
-    7.9524   21.6008   37.7504 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.5079   20.9106   38.2076 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2197   21.1385   37.1920 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.8464   19.9004   38.9134 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8200   19.1760   38.3270 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5203   19.3781   37.3093 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1778   18.1808   39.0695 C   0  0  0  0  0  0  0  0  0  0  0  0
-    1.3757   17.6196   38.6134 H   0  0  0  0  0  0  0  0  0  0  0  0
-    1.9123   16.9371   41.0606 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1 20  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  2  0
-  4 17  1  0
-  5  6  1  0
-  5  7  1  0
-  7  8  1  0
-  7  9  2  0
-  9 10  1  0
-  9 15  1  0
- 10 11  1  0
- 11 12  1  0
- 11 13  1  0
- 11 14  1  0
- 15 16  1  0
- 15 17  2  0
- 17 18  1  0
- 18 19  1  0
- 18 20  2  0
- 20 21  1  0
-  1 22  1  0
-V   22 *
+>  <atom.prop.environment>  (61) 
+5 5 5 5 5 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+7xnc_chainA
+     RDKit          3D
+
+ 11 11  0  0  0  0  0  0  0  0999 V2000
+    2.7625   18.6468   39.8184 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3946   18.1949   37.4747 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1423   17.8016   36.5010 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9713   19.2466   38.8867 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9523   19.6776   39.0221 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4434   18.1328   38.5289 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4729   17.6934   38.3512 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0625   19.2099   39.9695 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6169   18.7444   37.6827 N   0  0  0  0  0  0  0  0  0  0  0  0
+    4.5717   19.8830   41.5420 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+    1.8025   18.6038   40.9351 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  6  2  0
+  1  8  1  0
+  2  3  1  0
+  2  6  1  0
+  2  9  2  0
+  4  5  1  0
+  4  8  2  0
+  4  9  1  0
+  6  7  1  0
+  8 10  1  0
+  1 11  1  0
+V   11 *
 M  END
->  <kinase>  (49) 
-LOK
+>  <kinase>  (62) 
+MAP2K1
 
->  <family>  (49) 
-STE20
+>  <family>  (62) 
+STE7
 
->  <group>  (49) 
+>  <group>  (62) 
 STE
 
->  <complex_pdb>  (49) 
-4use
+>  <complex_pdb>  (62) 
+7xnc
 
->  <ligand_pdb>  (49) 
-R09
+>  <ligand_pdb>  (62) 
+GIK
 
->  <alt>  (49) 
-B
+>  <alt>  (62) 
+ 
 
->  <chain>  (49) 
+>  <chain>  (62) 
 A
 
->  <atom.prop.subpocket>  (49) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP
+>  <atom.prop.subpocket>  (62) 
+GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (49) 
-16 16 16 16 16 16 16 16 16 3 3 3 3 3 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (62) 
+16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 5es1_chainA
@@ -3289,37 +4189,37 @@ $$$$
  10 11  1  0
  10 12  1  0
  10 13  1  0
-  6 14  1  0
-  7 15  1  0
+ 14  6  1  0
+ 15  7  1  0
 V   14 *
 V   15 *
 M  END
->  <kinase>  (50) 
+>  <kinase>  (63) 
 MARK4
 
->  <family>  (50) 
+>  <family>  (63) 
 CAMKL
 
->  <group>  (50) 
+>  <group>  (63) 
 CAMK
 
->  <complex_pdb>  (50) 
+>  <complex_pdb>  (63) 
 5es1
 
->  <ligand_pdb>  (50) 
+>  <ligand_pdb>  (63) 
 5RC
 
->  <alt>  (50) 
+>  <alt>  (63) 
  
 
->  <chain>  (50) 
+>  <chain>  (63) 
 A
 
->  <atom.prop.subpocket>  (50) 
+>  <atom.prop.subpocket>  (63) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA FP AP
 
->  <atom.prop.environment>  (50) 
-8 8 8 16 16 16 16 16 16 8 8 8 8 na na
+>  <atom.prop.environment>  (63) 
+8 8 8 14 14 14 16 14 14 8 8 8 8 na na
 
 $$$$
 5tvt_chainA
@@ -3354,33 +4254,97 @@ $$$$
  12 13  1  0
 V   13 *
 M  END
->  <kinase>  (51) 
+>  <kinase>  (64) 
 MELK
 
->  <family>  (51) 
+>  <family>  (64) 
 CAMKL
 
->  <group>  (51) 
+>  <group>  (64) 
 CAMK
 
->  <complex_pdb>  (51) 
+>  <complex_pdb>  (64) 
 5tvt
 
->  <ligand_pdb>  (51) 
+>  <ligand_pdb>  (64) 
 7LV
 
->  <alt>  (51) 
+>  <alt>  (64) 
  
 
->  <chain>  (51) 
+>  <chain>  (64) 
 A
 
->  <atom.prop.subpocket>  (51) 
+>  <atom.prop.subpocket>  (64) 
 GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (51) 
+>  <atom.prop.environment>  (64) 
 3 3 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+6wpp_altB_chainA
+     RDKit          3D
+
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+    2.4321   14.9380   39.9606 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4413   13.8828   39.6873 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5403   15.1530   40.5493 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3202   15.1687   40.5489 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4126   17.1337   38.7975 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8394   19.1621   39.9055 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9383   19.2880   37.8608 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3729   19.8897   37.0763 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9702   17.8974   37.7693 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4246   15.7597   38.7419 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4284   15.3037   37.8407 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8550   17.7904   39.8578 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3745   19.8748   38.9107 N   0  0  0  0  0  0  0  0  0  0  0  0
+    3.5423   17.3022   36.7057 F   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2449   19.8745   41.0399 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1 10  1  0
+  5  9  2  0
+  5 10  1  0
+  5 12  1  0
+  6 12  2  0
+  6 13  1  0
+  7  8  1  0
+  7  9  1  0
+  7 13  2  0
+  9 14  1  0
+ 10 11  1  0
+  6 15  1  0
+V   15 *
+M  END
+>  <kinase>  (65) 
+NIK
+
+>  <family>  (65) 
+STE-Unique
+
+>  <group>  (65) 
+STE
+
+>  <complex_pdb>  (65) 
+6wpp
+
+>  <ligand_pdb>  (65) 
+PZ4
+
+>  <alt>  (65) 
+B
+
+>  <chain>  (65) 
+A
+
+>  <atom.prop.subpocket>  (65) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (65) 
+5 5 5 5 14 14 14 14 14 5 5 14 14 14 na
+
 $$$$
 4g34_altB_chainA
      RDKit          3D
@@ -3422,36 +4386,102 @@ $$$$
  14 15  2  0
  15 16  1  0
   7 17  1  0
-  1 18  1  0
+ 18  1  1  0
 V   17 *
 V   18 *
 M  END
->  <kinase>  (52) 
+>  <kinase>  (66) 
 PEK
 
->  <family>  (52) 
+>  <family>  (66) 
 PEK
 
->  <group>  (52) 
+>  <group>  (66) 
 Other
 
->  <complex_pdb>  (52) 
+>  <complex_pdb>  (66) 
 4g34
 
->  <ligand_pdb>  (52) 
+>  <ligand_pdb>  (66) 
 924
 
->  <alt>  (52) 
+>  <alt>  (66) 
 B
 
->  <chain>  (52) 
+>  <chain>  (66) 
 A
 
->  <atom.prop.subpocket>  (52) 
+>  <atom.prop.subpocket>  (66) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA B1 AP
 
->  <atom.prop.environment>  (52) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (66) 
+16 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 na na
+
+$$$$
+4k0y_altB_chainA
+     RDKit          3D
+
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    1.6799   19.0197   40.6557 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0061   20.3102   40.1941 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7930   21.2389   40.7025 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6149   20.1855   39.0375 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6765   18.8349   38.6796 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0879   18.0975   39.6724 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9998   16.7641   39.5817 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4885   16.1249   38.5282 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0843   16.8453   37.4862 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4629   16.3308   36.6154 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1827   18.2035   37.5803 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7474   18.9162   36.5857 O   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0584   18.3971   35.8404 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9617   18.6625   41.8662 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3763   14.6279   38.3638 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  6  2  0
+  2  3  1  0
+  2  4  2  0
+  4  5  1  0
+  5  6  1  0
+  5 11  1  0
+  6  7  1  0
+  7  8  2  0
+  8  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 12 13  1  0
+ 14  1  1  0
+  8 15  1  0
+V   14 *
+V   15 *
+M  END
+>  <kinase>  (67) 
+PIM1
+
+>  <family>  (67) 
+PIM
+
+>  <group>  (67) 
+CAMK
+
+>  <complex_pdb>  (67) 
+4k0y
+
+>  <ligand_pdb>  (67) 
+1OA
+
+>  <alt>  (67) 
+B
+
+>  <chain>  (67) 
+A
+
+>  <atom.prop.subpocket>  (67) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA AP FP
+
+>  <atom.prop.environment>  (67) 
+16 14 14 14 14 14 14 14 14 14 14 3 3 na na
 
 $$$$
 5n4u_altA_chainA
@@ -3493,33 +4523,96 @@ $$$$
   3 16  1  0
 V   16 *
 M  END
->  <kinase>  (53) 
+>  <kinase>  (68) 
 PIM1
 
->  <family>  (53) 
+>  <family>  (68) 
 PIM
 
->  <group>  (53) 
+>  <group>  (68) 
 CAMK
 
->  <complex_pdb>  (53) 
+>  <complex_pdb>  (68) 
 5n4u
 
->  <ligand_pdb>  (53) 
+>  <ligand_pdb>  (68) 
 8MZ
 
->  <alt>  (53) 
+>  <alt>  (68) 
 A
 
->  <chain>  (53) 
+>  <chain>  (68) 
 A
 
->  <atom.prop.subpocket>  (53) 
+>  <atom.prop.subpocket>  (68) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (53) 
+>  <atom.prop.environment>  (68) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+6no8_chainA
+     RDKit          3D
+
+ 14 14  0  0  0  0  0  0  0  0999 V2000
+    3.9510   16.6472   36.6664 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9601   17.7940   38.2501 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3632   15.5504   35.7928 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8864   14.6264   36.1201 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.4462   15.4365   35.8389 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0642   15.7702   34.7679 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1043   16.5506   37.7249 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7733   18.6619   37.5164 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9018   19.7176   37.7042 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3507   17.9799   36.5659 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1908   18.0762   39.3948 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8248   17.2907   39.9135 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.9030   19.3120   39.8548 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4403   15.4108   38.1902 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  3  1  0
+  1  7  1  0
+  1 10  1  0
+  2  7  2  0
+  2  8  1  0
+  2 11  1  0
+  3  4  1  0
+  3  5  1  0
+  3  6  1  0
+  8  9  1  0
+  8 10  2  0
+ 11 12  1  0
+ 13 11  1  0
+  7 14  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (69) 
+PIM1
+
+>  <family>  (69) 
+PIM
+
+>  <group>  (69) 
+CAMK
+
+>  <complex_pdb>  (69) 
+6no8
+
+>  <ligand_pdb>  (69) 
+KUY
+
+>  <alt>  (69) 
+ 
+
+>  <chain>  (69) 
+A
+
+>  <atom.prop.subpocket>  (69) 
+GA GA GA GA GA GA GA GA GA GA GA GA AP FP
+
+>  <atom.prop.environment>  (69) 
+9 16 8 8 8 8 14 14 14 14 5 5 na na
+
 $$$$
 6ilz_chainG
      RDKit          3D
@@ -3550,34 +4643,34 @@ $$$$
   7 11  1  0
   8  9  1  0
  11 12  1  0
- 11 13  1  0
+ 13 11  1  0
 V   13 *
 M  END
->  <kinase>  (54) 
+>  <kinase>  (70) 
 PKCi
 
->  <family>  (54) 
+>  <family>  (70) 
 PKC
 
->  <group>  (54) 
+>  <group>  (70) 
 AGC
 
->  <complex_pdb>  (54) 
+>  <complex_pdb>  (70) 
 6ilz
 
->  <ligand_pdb>  (54) 
+>  <ligand_pdb>  (70) 
 AFU
 
->  <alt>  (54) 
+>  <alt>  (70) 
  
 
->  <chain>  (54) 
+>  <chain>  (70) 
 G
 
->  <atom.prop.subpocket>  (54) 
+>  <atom.prop.subpocket>  (70) 
 GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (54) 
+>  <atom.prop.environment>  (70) 
 16 16 16 16 16 16 16 16 16 16 5 5 na
 
 $$$$
@@ -3608,36 +4701,101 @@ $$$$
   8  9  1  0
   8 10  2  0
  10 11  1  0
-  1 12  1  0
+ 12  1  1  0
 V   12 *
 M  END
->  <kinase>  (55) 
+>  <kinase>  (71) 
 RET
 
->  <family>  (55) 
+>  <family>  (71) 
 Ret
 
->  <group>  (55) 
+>  <group>  (71) 
 TK
 
->  <complex_pdb>  (55) 
+>  <complex_pdb>  (71) 
 2ivu
 
->  <ligand_pdb>  (55) 
+>  <ligand_pdb>  (71) 
 ZD6
 
->  <alt>  (55) 
+>  <alt>  (71) 
  
 
->  <chain>  (55) 
+>  <chain>  (71) 
 A
 
->  <atom.prop.subpocket>  (55) 
+>  <atom.prop.subpocket>  (71) 
 GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (55) 
+>  <atom.prop.environment>  (71) 
 16 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+5j7b_chainB
+     RDKit          3D
+
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    2.0053   18.6754   40.3523 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4264   19.8560   39.0650 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4649   20.7208   38.7228 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7009   20.9086   37.6857 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1918   21.3375   39.7317 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.0022   22.0099   39.4921 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1202   19.6207   40.3924 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6954   18.3743   39.0691 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9809   17.7387   38.7443 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5365   19.0972   38.3245 N   0  0  0  0  0  0  0  0  0  0  0  0
+    4.8622   21.0774   41.0443 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5859   21.6882   42.0279 F   0  0  0  0  0  0  0  0  0  0  0  0
+    3.8363   20.2172   41.4250 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6093   20.0239   42.4631 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4488   18.2077   41.4299 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  7  2  0
+  1  8  1  0
+  2  3  1  0
+  2  7  1  0
+  2 10  2  0
+  3  4  1  0
+  3  5  2  0
+  5  6  1  0
+  5 11  1  0
+  7 13  1  0
+  8  9  1  0
+  8 10  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 13 14  1  0
+  1 15  1  0
+V   15 *
+M  END
+>  <kinase>  (72) 
+RIPK2
+
+>  <family>  (72) 
+RIPK
+
+>  <group>  (72) 
+TKL
+
+>  <complex_pdb>  (72) 
+5j7b
+
+>  <ligand_pdb>  (72) 
+6GD
+
+>  <alt>  (72) 
+ 
+
+>  <chain>  (72) 
+B
+
+>  <atom.prop.subpocket>  (72) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (72) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+
 $$$$
 6e9w_chainB
      RDKit          3D
@@ -3684,294 +4842,107 @@ $$$$
 V   18 *
 V   19 *
 M  END
->  <kinase>  (56) 
+>  <kinase>  (73) 
 ROCK1
 
->  <family>  (56) 
+>  <family>  (73) 
 DMPK
 
->  <group>  (56) 
+>  <group>  (73) 
 AGC
 
->  <complex_pdb>  (56) 
+>  <complex_pdb>  (73) 
 6e9w
 
->  <ligand_pdb>  (56) 
+>  <ligand_pdb>  (73) 
 J0P
 
->  <alt>  (56) 
+>  <alt>  (73) 
  
 
->  <chain>  (56) 
+>  <chain>  (73) 
 B
 
->  <atom.prop.subpocket>  (56) 
+>  <atom.prop.subpocket>  (73) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA B2 AP
 
->  <atom.prop.environment>  (56) 
-16 16 16 16 6 6 16 16 16 16 16 16 5 5 8 8 8 na na
+>  <atom.prop.environment>  (73) 
+16 16 16 16 1 1 16 16 16 16 16 16 5 5 4 4 4 na na
 
 $$$$
-3faa_chainE
+4yju_altA_chainA
      RDKit          3D
 
- 14 14  0  0  0  0  0  0  0  0999 V2000
-    3.4027   19.9805   39.5582 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.8678   20.3263   40.8438 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6621   19.6893   41.6913 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.5953   21.5002   41.0029 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9562   21.7860   41.9799 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.8566   22.3049   39.8993 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.3765   21.9273   38.6445 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6566   20.7755   38.4654 N   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6448   22.7761   37.4385 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.2231   23.6521   37.7321 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6987   23.0953   37.0011 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.2074   22.1983   36.7053 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5602   23.4214   40.0599 F   0  0  0  0  0  0  0  0  0  0  0  0
-    2.6409   18.7349   39.3395 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  8  1  0
+ 20 21  0  0  0  0  0  0  0  0999 V2000
+    2.0972   18.8144   40.9849 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1412   17.3469   40.9810 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.2991   16.9567   41.5526 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0743   17.0102   41.4329 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0830   16.9844   39.9547 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1155   19.4935   40.2901 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0407   20.2668   40.9969 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.9628   20.3536   42.0706 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.0637   20.9259   40.3175 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.8034   21.4826   40.8738 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1417   20.8728   38.9147 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9100   21.4214   38.3901 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2426   20.1259   38.2267 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.2246   19.4132   38.9024 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0646   19.8857   36.9165 N   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6319   20.2845   36.1823 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0219   19.0361   36.7053 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4659   18.7524   37.8695 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5942   18.1330   38.0213 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1666   19.5150   41.7353 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  6  1  0
   2  3  1  0
   2  4  1  0
-  4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6 13  1  0
-  7  8  2  0
-  7  9  1  0
-  9 10  1  0
-  9 11  1  0
-  9 12  1  0
-  1 14  1  0
-V   14 *
-M  END
->  <kinase>  (57) 
-TGFbR1
-
->  <family>  (57) 
-STKR
-
->  <group>  (57) 
-TKL
-
->  <complex_pdb>  (57) 
-3faa
-
->  <ligand_pdb>  (57) 
-55F
-
->  <alt>  (57) 
- 
-
->  <chain>  (57) 
-E
-
->  <atom.prop.subpocket>  (57) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA FP
-
->  <atom.prop.environment>  (57) 
-14 14 14 14 14 14 14 14 8 8 8 8 14 na
-
-$$$$
-3kcf_chainC
-     RDKit          3D
-
- 19 19  0  0  0  0  0  0  0  0999 V2000
-    5.3037   24.9006   37.3736 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5862   25.8326   37.8633 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.4193   25.0670   36.7586 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.1247   24.5575   36.7441 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.0196   23.9219   38.3519 O   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6467   22.6906   37.7519 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.4648   22.3282   37.1294 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7604   22.8414   37.1356 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.3453   21.6769   38.8223 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9575   21.7688   40.1040 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.6431   22.5754   40.3177 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6693   20.8059   41.0973 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1330   20.8773   42.0701 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.7688   19.7436   40.8148 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.5526   19.0057   41.5732 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1488   19.6477   39.5322 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.4481   20.6245   38.5409 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.9854   20.5599   37.5672 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.1940   18.5324   39.1901 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  4  1  0
-  1  5  1  0
-  5  6  1  0
-  6  7  1  0
-  6  8  1  0
-  6  9  1  0
-  9 10  2  0
-  9 17  1  0
- 10 11  1  0
- 10 12  1  0
- 12 13  1  0
- 12 14  2  0
- 14 15  1  0
- 14 16  1  0
- 16 17  2  0
- 17 18  1  0
- 16 19  1  0
-V   19 *
-M  END
->  <kinase>  (58) 
-TGFbR1
-
->  <family>  (58) 
-STKR
-
->  <group>  (58) 
-TKL
-
->  <complex_pdb>  (58) 
-3kcf
-
->  <ligand_pdb>  (58) 
-JZO
-
->  <alt>  (58) 
- 
-
->  <chain>  (58) 
-C
-
->  <atom.prop.subpocket>  (58) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP
-
->  <atom.prop.environment>  (58) 
-3 3 3 3 3 8 8 8 16 16 16 16 16 16 16 16 16 16 na
-
-$$$$
-5qil_altA_chainA
-     RDKit          3D
-
- 15 15  0  0  0  0  0  0  0  0999 V2000
-    2.8564   19.9432   38.9288 C   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2664   19.4435   38.1747 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8786   19.3965   40.2050 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2313   21.6531   39.5208 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.3391   21.1999   40.8523 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9417   21.7219   41.5810 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6338   20.0514   41.1805 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6685   19.6644   42.1882 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.7374   23.3610   37.8946 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.2979   24.2936   37.8302 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.6872   23.5523   37.6739 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1359   22.6470   37.1739 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.5197   21.0502   38.5740 N   0  0  0  0  0  0  0  0  0  0  0  0
-    4.8586   22.8155   39.2336 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.2210   18.0902   40.4487 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  2  0
-  1 13  1  0
-  3  7  1  0
-  4  5  1  0
-  4 13  2  0
-  4 14  1  0
-  5  6  1  0
-  5  7  2  0
-  7  8  1  0
-  9 10  1  0
-  9 11  1  0
-  9 12  1  0
-  9 14  1  0
-  3 15  1  0
-V   15 *
-M  END
->  <kinase>  (59) 
-TGFbR1
-
->  <family>  (59) 
-STKR
-
->  <group>  (59) 
-TKL
-
->  <complex_pdb>  (59) 
-5qil
-
->  <ligand_pdb>  (59) 
-J2V
-
->  <alt>  (59) 
-A
-
->  <chain>  (59) 
-A
-
->  <atom.prop.subpocket>  (59) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP
-
->  <atom.prop.environment>  (59) 
-16 16 16 16 16 16 16 16 3 3 3 3 16 3 na
-
-$$$$
-5qim_altA_chainA
-     RDKit          3D
-
- 15 15  0  0  0  0  0  0  0  0999 V2000
-    4.0177   21.3255   38.6104 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0358   21.7557   37.6199 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2937   19.6665   40.0564 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.7379   21.9421   39.6165 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.7312   21.3887   40.8940 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.2919   21.8498   41.6937 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9942   20.2368   41.1249 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9617   19.7900   42.1075 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.3234   23.8267   38.2146 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.9014   24.7493   38.2664 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2819   24.0623   37.9959 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.7251   23.1901   37.4262 H   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2893   20.2010   38.8200 N   0  0  0  0  0  0  0  0  0  0  0  0
-    5.4050   23.1378   39.4760 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.5960   18.3698   40.2222 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  4  2  0
-  1 13  1  0
-  3  7  1  0
-  3 13  2  0
-  4  5  1  0
-  4 14  1  0
-  5  6  1  0
-  5  7  2  0
+  2  5  1  0
+  6  7  2  0
+  6 14  1  0
   7  8  1  0
+  7  9  1  0
   9 10  1  0
-  9 11  1  0
-  9 12  1  0
-  9 14  1  0
-  3 15  1  0
-V   15 *
+  9 11  2  0
+ 11 12  1  0
+ 11 13  1  0
+ 13 14  2  0
+ 13 15  1  0
+ 14 18  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 17 18  2  0
+ 18 19  1  0
+ 20  1  1  0
+V   20 *
 M  END
->  <kinase>  (60) 
-TGFbR1
+>  <kinase>  (74) 
+SYK
 
->  <family>  (60) 
-STKR
+>  <family>  (74) 
+Syk
 
->  <group>  (60) 
-TKL
+>  <group>  (74) 
+TK
 
->  <complex_pdb>  (60) 
-5qim
+>  <complex_pdb>  (74) 
+4yju
 
->  <ligand_pdb>  (60) 
-J2Y
+>  <ligand_pdb>  (74) 
+4DO
 
->  <alt>  (60) 
+>  <alt>  (74) 
 A
 
->  <chain>  (60) 
+>  <chain>  (74) 
 A
 
->  <atom.prop.subpocket>  (60) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP
+>  <atom.prop.subpocket>  (74) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (60) 
-14 14 14 14 14 14 14 14 3 3 3 3 14 3 na
+>  <atom.prop.environment>  (74) 
+5 5 5 5 5 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 4nfn_altB_chainA
@@ -4003,34 +4974,34 @@ $$$$
   7 12  1  0
   8  9  1  0
  10 11  1  0
-  1 13  1  0
+ 13  1  1  0
 V   13 *
 M  END
->  <kinase>  (61) 
+>  <kinase>  (75) 
 TTBK1
 
->  <family>  (61) 
+>  <family>  (75) 
 TTBK
 
->  <group>  (61) 
+>  <group>  (75) 
 CK1
 
->  <complex_pdb>  (61) 
+>  <complex_pdb>  (75) 
 4nfn
 
->  <ligand_pdb>  (61) 
+>  <ligand_pdb>  (75) 
 2KC
 
->  <alt>  (61) 
+>  <alt>  (75) 
 B
 
->  <chain>  (61) 
+>  <chain>  (75) 
 A
 
->  <atom.prop.subpocket>  (61) 
+>  <atom.prop.subpocket>  (75) 
 GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (61) 
+>  <atom.prop.environment>  (75) 
 16 16 16 16 16 16 16 16 16 3 3 16 na
 
 $$$$
@@ -4087,32 +5058,32 @@ $$$$
  18 23  1  0
 V   23 *
 M  END
->  <kinase>  (62) 
+>  <kinase>  (76) 
 TTK
 
->  <family>  (62) 
+>  <family>  (76) 
 TTK
 
->  <group>  (62) 
+>  <group>  (76) 
 Other
 
->  <complex_pdb>  (62) 
+>  <complex_pdb>  (76) 
 3wzk
 
->  <ligand_pdb>  (62) 
+>  <ligand_pdb>  (76) 
 O23
 
->  <alt>  (62) 
+>  <alt>  (76) 
  
 
->  <chain>  (62) 
+>  <chain>  (76) 
 A
 
->  <atom.prop.subpocket>  (62) 
+>  <atom.prop.subpocket>  (76) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (62) 
-6 6 5 5 15 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (76) 
+1 1 5 5 15 15 15 15 15 15 15 15 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 4zeg_chainA
@@ -4156,36 +5127,36 @@ $$$$
  13 14  1  0
  16 17  1  0
  16 18  1  0
-  2 19  1  0
+ 19  2  1  0
 V   18 *
 V   19 *
 M  END
->  <kinase>  (63) 
+>  <kinase>  (77) 
 TTK
 
->  <family>  (63) 
+>  <family>  (77) 
 TTK
 
->  <group>  (63) 
+>  <group>  (77) 
 Other
 
->  <complex_pdb>  (63) 
+>  <complex_pdb>  (77) 
 4zeg
 
->  <ligand_pdb>  (63) 
+>  <ligand_pdb>  (77) 
 052
 
->  <alt>  (63) 
+>  <alt>  (77) 
  
 
->  <chain>  (63) 
+>  <chain>  (77) 
 A
 
->  <atom.prop.subpocket>  (63) 
+>  <atom.prop.subpocket>  (77) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA B1 AP
 
->  <atom.prop.environment>  (63) 
-16 16 16 16 16 16 8 8 8 8 16 6 16 16 6 5 5 na na
+>  <atom.prop.environment>  (77) 
+16 16 16 16 16 16 8 8 8 8 16 1 16 16 1 5 5 na na
 
 $$$$
 6b4w_chainA
@@ -4229,32 +5200,104 @@ $$$$
  16 17  1  0
 V   17 *
 M  END
->  <kinase>  (64) 
+>  <kinase>  (78) 
 TTK
 
->  <family>  (64) 
+>  <family>  (78) 
 TTK
 
->  <group>  (64) 
+>  <group>  (78) 
 Other
 
->  <complex_pdb>  (64) 
+>  <complex_pdb>  (78) 
 6b4w
 
->  <ligand_pdb>  (64) 
+>  <ligand_pdb>  (78) 
 CQ7
 
->  <alt>  (64) 
+>  <alt>  (78) 
  
 
->  <chain>  (64) 
+>  <chain>  (78) 
 A
 
->  <atom.prop.subpocket>  (64) 
+>  <atom.prop.subpocket>  (78) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (64) 
-8 8 8 8 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (78) 
+8 8 8 8 14 14 14 14 14 14 14 14 14 14 14 16 na
+
+$$$$
+6tn9_altB_chainA
+     RDKit          3D
+
+ 19 19  0  0  0  0  0  0  0  0999 V2000
+    2.7129   19.7700   40.9131 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3682   19.6144   38.6177 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.4323   18.5994   40.6131 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.3500   17.7456   41.2694 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8388   20.8583   40.0307 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2917   21.7676   40.2311 H   0  0  0  0  0  0  0  0  0  0  0  0
+    3.6611   20.7869   38.8944 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.7883   21.9899   37.9529 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4660   21.7418   37.1360 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1819   22.8434   38.5050 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8076   22.2399   37.5483 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1647   19.5549   37.5150 O   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6231   18.7207   37.3901 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2516   18.5175   39.4838 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.0135   17.2215   39.2116 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5990   17.3292   38.2985 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.3052   16.4013   39.0945 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6799   17.0094   40.0477 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8828   19.8554   42.0518 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  3  2  0
+  1  5  1  0
+  2  7  1  0
+  2 12  1  0
+  2 14  2  0
+  3  4  1  0
+  3 14  1  0
+  5  6  1  0
+  5  7  2  0
+  7  8  1  0
+  8  9  1  0
+  8 10  1  0
+  8 11  1  0
+ 12 13  1  0
+ 14 15  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 19  1  1  0
+V   19 *
+M  END
+>  <kinase>  (79) 
+TTK
+
+>  <family>  (79) 
+TTK
+
+>  <group>  (79) 
+Other
+
+>  <complex_pdb>  (79) 
+6tn9
+
+>  <ligand_pdb>  (79) 
+NN5
+
+>  <alt>  (79) 
+B
+
+>  <chain>  (79) 
+A
+
+>  <atom.prop.subpocket>  (79) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (79) 
+16 16 16 16 16 16 16 8 8 8 8 3 3 16 8 8 8 8 na
 
 $$$$
 5uvf_chainA
@@ -4289,31 +5332,31 @@ $$$$
   8 13  1  0
 V   13 *
 M  END
->  <kinase>  (65) 
+>  <kinase>  (80) 
 VRK1
 
->  <family>  (65) 
+>  <family>  (80) 
 VRK
 
->  <group>  (65) 
+>  <group>  (80) 
 CK1
 
->  <complex_pdb>  (65) 
+>  <complex_pdb>  (80) 
 5uvf
 
->  <ligand_pdb>  (65) 
+>  <ligand_pdb>  (80) 
 7DZ
 
->  <alt>  (65) 
+>  <alt>  (80) 
  
 
->  <chain>  (65) 
+>  <chain>  (80) 
 A
 
->  <atom.prop.subpocket>  (65) 
+>  <atom.prop.subpocket>  (80) 
 GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (65) 
+>  <atom.prop.environment>  (80) 
 16 16 16 16 16 16 16 16 3 3 16 16 na
 
 $$$$
@@ -4356,107 +5399,33 @@ $$$$
   3 16  1  0
 V   16 *
 M  END
->  <kinase>  (66) 
+>  <kinase>  (81) 
 VRK1
 
->  <family>  (66) 
+>  <family>  (81) 
 VRK
 
->  <group>  (66) 
+>  <group>  (81) 
 CK1
 
->  <complex_pdb>  (66) 
+>  <complex_pdb>  (81) 
 6npn
 
->  <ligand_pdb>  (66) 
+>  <ligand_pdb>  (81) 
 KWJ
 
->  <alt>  (66) 
+>  <alt>  (81) 
  
 
->  <chain>  (66) 
+>  <chain>  (81) 
 A
 
->  <atom.prop.subpocket>  (66) 
+>  <atom.prop.subpocket>  (81) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (66) 
+>  <atom.prop.environment>  (81) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
-$$$$
-1a9u_chainA
-     RDKit          3D
-
- 19 20  0  0  0  0  0  0  0  0999 V2000
-    4.5691   18.3248   41.1103 N   0  0  0  0  0  0  0  0  0  0  0  0
-    4.1019   17.4787   41.4034 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.6405   18.4536   40.2272 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.1149   19.7261   40.0199 N   0  0  0  0  0  0  0  0  0  0  0  0
-    5.2880   20.5186   40.8200 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2896   19.6532   41.4991 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.0619   22.6188   39.5940 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6677   22.0613   38.7572 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1961   24.0122   39.4938 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9027   24.5192   38.5865 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.7166   24.7540   40.5836 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.1065   24.0928   41.7946 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.5007   24.6631   42.6227 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.9711   22.6858   41.8975 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.2656   22.1813   42.8059 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.4396   21.9241   40.7888 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.8327   26.1135   40.4542 F   0  0  0  0  0  0  0  0  0  0  0  0
-    6.2289   17.3294   39.5529 *   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2002   19.9714   42.4386 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  6  1  0
-  3  4  2  0
-  4  5  1  0
-  5  6  2  0
-  5 16  1  0
-  7  8  1  0
-  7  9  2  0
-  7 16  1  0
-  9 10  1  0
-  9 11  1  0
- 11 12  2  0
- 11 17  1  0
- 12 13  1  0
- 12 14  1  0
- 14 15  1  0
- 14 16  2  0
-  3 18  1  0
-  6 19  1  0
-V   18 *
-V   19 *
-M  END
->  <kinase>  (67) 
-p38a
-
->  <family>  (67) 
-MAPK
-
->  <group>  (67) 
-CMGC
-
->  <complex_pdb>  (67) 
-1a9u
-
->  <ligand_pdb>  (67) 
-SB2
-
->  <alt>  (67) 
- 
-
->  <chain>  (67) 
-A
-
->  <atom.prop.subpocket>  (67) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA B2 AP
-
->  <atom.prop.environment>  (67) 
-14 14 14 14 14 14 16 16 16 16 16 16 16 16 16 16 16 na na
-
 $$$$
 1di9_chainA
      RDKit          3D
@@ -4493,34 +5462,34 @@ $$$$
  12 13  1  0
  12 14  1  0
  12 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   16 *
 M  END
->  <kinase>  (68) 
+>  <kinase>  (82) 
 p38a
 
->  <family>  (68) 
+>  <family>  (82) 
 MAPK
 
->  <group>  (68) 
+>  <group>  (82) 
 CMGC
 
->  <complex_pdb>  (68) 
+>  <complex_pdb>  (82) 
 1di9
 
->  <ligand_pdb>  (68) 
+>  <ligand_pdb>  (82) 
 MSQ
 
->  <alt>  (68) 
+>  <alt>  (82) 
  
 
->  <chain>  (68) 
+>  <chain>  (82) 
 A
 
->  <atom.prop.subpocket>  (68) 
+>  <atom.prop.subpocket>  (82) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (68) 
+>  <atom.prop.environment>  (82) 
 16 16 16 16 16 16 16 16 16 16 11 11 11 11 11 na
 
 $$$$
@@ -4537,121 +5506,55 @@ $$$$
     5.4415   21.5647   41.8870 C   0  0  0  0  0  0  0  0  0  0  0  0
     5.9129   21.8189   42.8249 H   0  0  0  0  0  0  0  0  0  0  0  0
     4.6250   20.4131   41.7816 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.4792   19.7911   42.6525 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1915   22.9143   38.2045 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.0587   22.3141   37.4422 F   0  0  0  0  0  0  0  0  0  0  0  0
-    5.6513   24.0744   38.5827 F   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0731   23.1128   37.5302 F   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1130   18.8298   40.4231 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  9  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  2  0
-  4 11  1  0
-  5  6  1  0
-  5  7  1  0
-  7  8  1  0
-  7  9  2  0
-  9 10  1  0
- 11 12  1  0
- 11 13  1  0
- 11 14  1  0
-  1 15  1  0
-V   15 *
-M  END
->  <kinase>  (69) 
-p38a
-
->  <family>  (69) 
-MAPK
-
->  <group>  (69) 
-CMGC
-
->  <complex_pdb>  (69) 
-1ouk
-
->  <ligand_pdb>  (69) 
-084
-
->  <alt>  (69) 
- 
-
->  <chain>  (69) 
-A
-
->  <atom.prop.subpocket>  (69) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP
-
->  <atom.prop.environment>  (69) 
-16 16 16 16 16 16 16 16 16 16 8 8 8 8 na
-
-$$$$
-1w7h_chainA
-     RDKit          3D
-
- 16 16  0  0  0  0  0  0  0  0999 V2000
-    3.5873   20.5748   41.8409 O   0  0  0  0  0  0  0  0  0  0  0  0
-    5.0270   20.3558   41.5980 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1672   19.4450   41.0159 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5504   20.2629   42.5496 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5777   21.5561   40.8204 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.1010   22.7388   41.5284 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.1057   22.7481   42.6083 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.6153   23.9024   40.7998 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.9900   24.7519   41.3514 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.6289   23.9312   39.3263 C   0  0  0  0  0  0  0  0  0  0  0  0
-    7.0088   24.7906   38.7939 H   0  0  0  0  0  0  0  0  0  0  0  0
-    6.1062   22.7469   38.5880 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.1037   22.7409   37.5080 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5873   21.5722   39.3411 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.2116   20.7174   38.7985 H   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8846   19.9585   42.9060 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
+    4.4792   19.7911   42.6525 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1915   22.9143   38.2045 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.0587   22.3141   37.4422 F   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6513   24.0744   38.5827 F   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0731   23.1128   37.5302 F   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1130   18.8298   40.4231 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  9  1  0
   2  3  1  0
   2  4  1  0
-  2  5  1  0
-  5  6  2  0
-  5 14  1  0
-  6  7  1  0
-  6  8  1  0
-  8  9  1  0
-  8 10  2  0
- 10 11  1  0
- 10 12  1  0
- 12 13  1  0
- 12 14  2  0
- 14 15  1  0
-  1 16  1  0
-V   16 *
+  4  5  2  0
+  4 11  1  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 15  1  1  0
+V   15 *
 M  END
->  <kinase>  (70) 
+>  <kinase>  (83) 
 p38a
 
->  <family>  (70) 
+>  <family>  (83) 
 MAPK
 
->  <group>  (70) 
+>  <group>  (83) 
 CMGC
 
->  <complex_pdb>  (70) 
-1w7h
+>  <complex_pdb>  (83) 
+1ouk
 
->  <ligand_pdb>  (70) 
-3IP
+>  <ligand_pdb>  (83) 
+084
 
->  <alt>  (70) 
+>  <alt>  (83) 
  
 
->  <chain>  (70) 
+>  <chain>  (83) 
 A
 
->  <atom.prop.subpocket>  (70) 
-GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+>  <atom.prop.subpocket>  (83) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP
 
->  <atom.prop.environment>  (70) 
-3 8 8 8 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (83) 
+16 16 16 16 16 16 16 16 16 16 8 8 8 8 na
 
 $$$$
 1w84_chainA
@@ -4705,31 +5608,31 @@ $$$$
   5 22  1  0
 V   22 *
 M  END
->  <kinase>  (71) 
+>  <kinase>  (84) 
 p38a
 
->  <family>  (71) 
+>  <family>  (84) 
 MAPK
 
->  <group>  (71) 
+>  <group>  (84) 
 CMGC
 
->  <complex_pdb>  (71) 
+>  <complex_pdb>  (84) 
 1w84
 
->  <ligand_pdb>  (71) 
+>  <ligand_pdb>  (84) 
 L12
 
->  <alt>  (71) 
+>  <alt>  (84) 
  
 
->  <chain>  (71) 
+>  <chain>  (84) 
 A
 
->  <atom.prop.subpocket>  (71) 
+>  <atom.prop.subpocket>  (84) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (71) 
+>  <atom.prop.environment>  (84) 
 16 8 8 8 8 8 8 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -4781,114 +5684,125 @@ $$$$
  17 18  1  0
  19 20  1  0
  19 21  1  0
-  1 22  1  0
+ 22  1  1  0
 V   22 *
 M  END
->  <kinase>  (72) 
+>  <kinase>  (85) 
 p38a
 
->  <family>  (72) 
+>  <family>  (85) 
 MAPK
 
->  <group>  (72) 
+>  <group>  (85) 
 CMGC
 
->  <complex_pdb>  (72) 
+>  <complex_pdb>  (85) 
 1wbw
 
->  <ligand_pdb>  (72) 
+>  <ligand_pdb>  (85) 
 LI4
 
->  <alt>  (72) 
+>  <alt>  (85) 
  
 
->  <chain>  (72) 
+>  <chain>  (85) 
 A
 
->  <atom.prop.subpocket>  (72) 
+>  <atom.prop.subpocket>  (85) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (72) 
-3 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 8 8 8 na
+>  <atom.prop.environment>  (85) 
+3 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 4 4 4 na
 
 $$$$
-3fi4_chainA
+1zzl_chainA
      RDKit          3D
 
- 13 13  0  0  0  0  0  0  0  0999 V2000
-    5.6231   20.6540   42.4690 F   0  0  0  0  0  0  0  0  0  0  0  0
-    5.4906   21.3851   41.3470 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.0453   22.6662   41.2864 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.5793   23.0688   42.1345 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.9036   23.4218   40.1206 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.4191   24.6594   40.0448 F   0  0  0  0  0  0  0  0  0  0  0  0
-    5.2201   22.9029   39.0259 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1162   23.4933   38.1276 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6698   21.6265   39.0835 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.1407   21.2245   38.2322 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.8049   20.8701   40.2448 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.2555   19.6155   40.2756 O   0  0  0  0  0  0  0  0  0  0  0  0
-    3.1155   19.3553   40.9974 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+    3.9301   17.1316   39.0941 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1152   16.2230   38.5404 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9001   22.9729   40.6358 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.3890   24.2148   40.8062 F   0  0  0  0  0  0  0  0  0  0  0  0
+    5.4516   22.6362   39.3638 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5318   23.3499   38.5572 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.8971   21.3757   39.1278 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.5556   21.1083   38.1387 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.7869   22.0857   41.7052 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.1141   22.3756   42.6928 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.2418   20.8098   41.4825 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1696   20.1006   42.2938 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7871   20.4592   40.1854 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1909   19.1044   39.8957 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7151   18.1585   39.0857 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.8591   17.3318   39.8731 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0196   18.5621   40.4144 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0041   19.1359   41.2926 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
-  2  3  2  0
-  2 11  1  0
+  1 15  2  0
+  1 16  1  0
   3  4  1  0
-  3  5  1  0
+  3  5  2  0
+  3  9  1  0
   5  6  1  0
-  5  7  2  0
+  5  7  1  0
   7  8  1  0
-  7  9  1  0
+  7 13  2  0
   9 10  1  0
   9 11  2  0
  11 12  1  0
- 12 13  1  0
-V   13 *
+ 11 13  1  0
+ 13 14  1  0
+ 14 15  1  0
+ 14 17  2  0
+ 16 17  1  0
+ 17 18  1  0
+V   18 *
 M  END
->  <kinase>  (73) 
+>  <kinase>  (86) 
 p38a
 
->  <family>  (73) 
+>  <family>  (86) 
 MAPK
 
->  <group>  (73) 
+>  <group>  (86) 
 CMGC
 
->  <complex_pdb>  (73) 
-3fi4
+>  <complex_pdb>  (86) 
+1zzl
 
->  <ligand_pdb>  (73) 
-FI4
+>  <ligand_pdb>  (86) 
+TZY
 
->  <alt>  (73) 
+>  <alt>  (86) 
  
 
->  <chain>  (73) 
+>  <chain>  (86) 
 A
 
->  <atom.prop.subpocket>  (73) 
-GA GA GA GA GA GA GA GA GA GA GA GA AP
+>  <atom.prop.subpocket>  (86) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (73) 
-16 16 16 16 16 16 16 16 16 16 16 3 na
+>  <atom.prop.environment>  (86) 
+14 14 16 16 16 16 16 16 16 16 16 16 16 14 14 14 14 na
 
 $$$$
-3fko_chainA
+3fi4_chainA
      RDKit          3D
 
  13 13  0  0  0  0  0  0  0  0999 V2000
-    5.4879   20.5569   42.6430 F   0  0  0  0  0  0  0  0  0  0  0  0
-    5.3582   21.2098   41.4772 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.9867   22.4501   41.3249 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.5665   22.8645   42.1364 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.8653   23.1520   40.1258 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.3515   24.1086   40.0037 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1105   22.6087   39.0848 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.0102   23.1485   38.1547 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.4837   21.3682   39.2412 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9076   20.9530   38.4274 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.5961   20.6620   40.4401 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.9663   19.4345   40.5732 O   0  0  0  0  0  0  0  0  0  0  0  0
-    2.8627   19.2199   41.3744 *   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6231   20.6540   42.4690 F   0  0  0  0  0  0  0  0  0  0  0  0
+    5.4906   21.3851   41.3470 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.0453   22.6662   41.2864 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.5793   23.0688   42.1345 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.9036   23.4218   40.1206 C   0  0  0  0  0  0  0  0  0  0  0  0
+    6.4191   24.6594   40.0448 F   0  0  0  0  0  0  0  0  0  0  0  0
+    5.2201   22.9029   39.0259 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.1162   23.4933   38.1276 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6698   21.6265   39.0835 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.1407   21.2245   38.2322 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.8049   20.8701   40.2448 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.2555   19.6155   40.2756 O   0  0  0  0  0  0  0  0  0  0  0  0
+    3.1155   19.3553   40.9974 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  1  0
   2  3  2  0
   2 11  1  0
@@ -4904,31 +5818,31 @@ $$$$
  12 13  1  0
 V   13 *
 M  END
->  <kinase>  (74) 
+>  <kinase>  (87) 
 p38a
 
->  <family>  (74) 
+>  <family>  (87) 
 MAPK
 
->  <group>  (74) 
+>  <group>  (87) 
 CMGC
 
->  <complex_pdb>  (74) 
-3fko
+>  <complex_pdb>  (87) 
+3fi4
 
->  <ligand_pdb>  (74) 
-FKO
+>  <ligand_pdb>  (87) 
+FI4
 
->  <alt>  (74) 
+>  <alt>  (87) 
  
 
->  <chain>  (74) 
+>  <chain>  (87) 
 A
 
->  <atom.prop.subpocket>  (74) 
+>  <atom.prop.subpocket>  (87) 
 GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (74) 
+>  <atom.prop.environment>  (87) 
 16 16 16 16 16 16 16 16 16 16 16 3 na
 
 $$$$
@@ -4981,90 +5895,32 @@ $$$$
   2 21  1  0
 V   21 *
 M  END
->  <kinase>  (75) 
+>  <kinase>  (88) 
 p38a
 
->  <family>  (75) 
+>  <family>  (88) 
 MAPK
 
->  <group>  (75) 
+>  <group>  (88) 
 CMGC
 
->  <complex_pdb>  (75) 
+>  <complex_pdb>  (88) 
 3fmj
 
->  <ligand_pdb>  (75) 
+>  <ligand_pdb>  (88) 
 FMJ
 
->  <alt>  (75) 
+>  <alt>  (88) 
  
 
->  <chain>  (75) 
+>  <chain>  (88) 
 A
 
->  <atom.prop.subpocket>  (75) 
+>  <atom.prop.subpocket>  (88) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (75) 
-16 16 16 16 16 16 8 8 8 8 16 16 16 16 16 16 16 16 16 16 na
-
-$$$$
-3gc7_altA_chainA
-     RDKit          3D
-
- 12 12  0  0  0  0  0  0  0  0999 V2000
-    3.9183   20.9374   39.4391 C   0  0  0  0  0  0  0  0  0  0  0  0
-    3.2378   20.4384   38.7650 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.6516   22.0173   38.9942 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.5452   22.3566   37.9745 H   0  0  0  0  0  0  0  0  0  0  0  0
-    5.6707   22.2388   41.1459 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.3514   22.7401   41.8179 H   0  0  0  0  0  0  0  0  0  0  0  0
-    4.0464   20.4877   40.7401 C   0  0  0  0  0  0  0  0  0  0  0  0
-    5.5199   22.6653   39.8466 C   0  0  0  0  0  0  0  0  0  0  0  0
-    4.9319   21.1572   41.5672 C   0  0  0  0  0  0  0  0  0  0  0  0
-    6.2347   23.7235   39.4265 F   0  0  0  0  0  0  0  0  0  0  0  0
-    5.1703   20.6912   43.2017 Cl  0  0  0  0  0  0  0  0  0  0  0  0
-    3.2433   19.3613   41.1998 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  2  0
-  1  7  1  0
-  3  4  1  0
-  3  8  1  0
-  5  6  1  0
-  5  8  2  0
-  5  9  1  0
-  7  9  2  0
-  8 10  1  0
-  9 11  1  0
-  7 12  1  0
-V   12 *
-M  END
->  <kinase>  (76) 
-p38a
-
->  <family>  (76) 
-MAPK
-
->  <group>  (76) 
-CMGC
-
->  <complex_pdb>  (76) 
-3gc7
-
->  <ligand_pdb>  (76) 
-B45
-
->  <alt>  (76) 
-A
-
->  <chain>  (76) 
-A
-
->  <atom.prop.subpocket>  (76) 
-GA GA GA GA GA GA GA GA GA GA GA AP
-
->  <atom.prop.environment>  (76) 
-16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (88) 
+14 16 16 14 16 16 8 8 8 8 14 14 16 16 16 16 16 16 16 16 na
 
 $$$$
 3hl7_chainA
@@ -5113,32 +5969,32 @@ $$$$
 V   18 *
 V   19 *
 M  END
->  <kinase>  (77) 
+>  <kinase>  (89) 
 p38a
 
->  <family>  (77) 
+>  <family>  (89) 
 MAPK
 
->  <group>  (77) 
+>  <group>  (89) 
 CMGC
 
->  <complex_pdb>  (77) 
+>  <complex_pdb>  (89) 
 3hl7
 
->  <ligand_pdb>  (77) 
+>  <ligand_pdb>  (89) 
 I47
 
->  <alt>  (77) 
+>  <alt>  (89) 
  
 
->  <chain>  (77) 
+>  <chain>  (89) 
 A
 
->  <atom.prop.subpocket>  (77) 
+>  <atom.prop.subpocket>  (89) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA FP AP
 
->  <atom.prop.environment>  (77) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (89) 
+14 14 14 14 14 16 16 16 16 16 16 16 16 16 16 16 16 na na
 
 $$$$
 3hll_altB_chainA
@@ -5179,32 +6035,102 @@ $$$$
  13 16  1  0
 V   16 *
 M  END
->  <kinase>  (78) 
+>  <kinase>  (90) 
 p38a
 
->  <family>  (78) 
+>  <family>  (90) 
 MAPK
 
->  <group>  (78) 
+>  <group>  (90) 
 CMGC
 
->  <complex_pdb>  (78) 
+>  <complex_pdb>  (90) 
 3hll
 
->  <ligand_pdb>  (78) 
+>  <ligand_pdb>  (90) 
 I45
 
->  <alt>  (78) 
+>  <alt>  (90) 
 B
 
->  <chain>  (78) 
+>  <chain>  (90) 
 A
 
->  <atom.prop.subpocket>  (78) 
+>  <atom.prop.subpocket>  (90) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (78) 
-16 16 16 16 16 16 16 16 16 8 8 8 3 16 16 na
+>  <atom.prop.environment>  (90) 
+16 16 16 16 16 16 16 16 16 4 4 4 3 16 16 na
+
+$$$$
+3kf7_chainA
+     RDKit          3D
+
+ 18 18  0  0  0  0  0  0  0  0999 V2000
+    2.6320   18.1343   40.4938 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.6159   18.5713   39.4954 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.3480   17.0836   40.4352 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0552   18.2171   41.0306 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6959   17.5781   40.4230 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.0613   17.8628   42.0614 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.6000   19.6143   40.9988 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.0057   20.2299   42.1679 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.5141   21.4974   42.1773 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.8282   21.9575   43.1026 H   0  0  0  0  0  0  0  0  0  0  0  0
+    5.6180   22.1746   40.9900 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.2238   21.5947   39.8052 C   0  0  0  0  0  0  0  0  0  0  0  0
+    5.3044   22.1444   38.8790 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.7245   20.3058   39.8061 C   0  0  0  0  0  0  0  0  0  0  0  0
+    4.4317   19.8387   38.8774 H   0  0  0  0  0  0  0  0  0  0  0  0
+    4.9307   19.6062   43.3429 F   0  0  0  0  0  0  0  0  0  0  0  0
+    6.1023   23.4131   41.0353 F   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6161   18.8537   41.3432 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  4  5  1  0
+  4  6  1  0
+  4  7  1  0
+  7  8  2  0
+  7 14  1  0
+  8  9  1  0
+  8 16  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 11 17  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 18  1  1  0
+V   18 *
+M  END
+>  <kinase>  (91) 
+p38a
+
+>  <family>  (91) 
+MAPK
+
+>  <group>  (91) 
+CMGC
+
+>  <complex_pdb>  (91) 
+3kf7
+
+>  <ligand_pdb>  (91) 
+L9G
+
+>  <alt>  (91) 
+ 
+
+>  <chain>  (91) 
+A
+
+>  <atom.prop.subpocket>  (91) 
+GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
+
+>  <atom.prop.environment>  (91) 
+8 8 8 8 8 8 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 5xyx_altB_chainA
@@ -5244,34 +6170,34 @@ $$$$
  13 14  1  0
  13 15  2  0
  15 16  1  0
-  1 17  1  0
+ 17  1  1  0
 V   17 *
 M  END
->  <kinase>  (79) 
+>  <kinase>  (92) 
 p38a
 
->  <family>  (79) 
+>  <family>  (92) 
 MAPK
 
->  <group>  (79) 
+>  <group>  (92) 
 CMGC
 
->  <complex_pdb>  (79) 
+>  <complex_pdb>  (92) 
 5xyx
 
->  <ligand_pdb>  (79) 
+>  <ligand_pdb>  (92) 
 FTZ
 
->  <alt>  (79) 
+>  <alt>  (92) 
 B
 
->  <chain>  (79) 
+>  <chain>  (92) 
 A
 
->  <atom.prop.subpocket>  (79) 
+>  <atom.prop.subpocket>  (92) 
 GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA GA AP
 
->  <atom.prop.environment>  (79) 
-5 5 8 8 8 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (92) 
+5 5 4 4 4 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
diff --git a/data/fragment_library_custom_filtered/SE.sdf b/data/fragment_library_custom_filtered/SE.sdf
index 7f4bf403..d1dfe0fa 100644
--- a/data/fragment_library_custom_filtered/SE.sdf
+++ b/data/fragment_library_custom_filtered/SE.sdf
@@ -74,7 +74,7 @@ A
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE X-SE AP
 
 >  <atom.prop.environment>  (1) 
-16 16 16 16 16 16 16 16 4 5 5 5 5 4 4 4 4 5 16 16 na na
+16 16 16 16 16 16 16 16 1 5 5 5 5 4 1 1 1 5 16 16 na na
 
 $$$$
 3q4t_altA_chainB
@@ -117,7 +117,7 @@ $$$$
  13 15  2  0
  15 16  1  0
  15 17  1  0
-  1 18  1  0
+ 18  1  1  0
  17 19  1  0
 V   18 *
 V   19 *
@@ -185,7 +185,7 @@ $$$$
  10 12  2  0
  12 13  1  0
  13 14  2  0
-  1 15  1  0
+ 15  1  1  0
  14 16  1  0
 V   15 *
 V   16 *
@@ -218,75 +218,53 @@ SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP FP
 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
-2xb7_chainA
-     RDKit          3D
-
- 31 32  0  0  0  0  0  0  0  0999 V2000
-   -1.2624   17.2090   45.8448 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1839   16.2168   44.9296 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9672   16.4622   43.9005 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3884   14.8057   45.3085 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3175   14.0336   44.5567 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6651   14.4698   46.5951 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.7541   15.5626   47.6137 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9749   15.3115   48.6406 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5623   16.8679   47.2725 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6391   17.9306   48.2156 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9711   17.5878   49.5691 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9946   18.4918   50.1775 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2211   16.9029   49.9648 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.9496   17.1082   49.5929 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8739   13.0967   46.9654 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5302   12.0209   45.9895 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4775   11.7667   46.1132 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6956   12.4033   44.9823 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3693   10.7321   46.1679 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9377    9.9310   45.5680 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.3935   10.9171   45.8441 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3657   10.3176   47.6673 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3486   10.2294   48.0493 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.1732   11.4179   48.4088 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.2791   11.1402   49.4575 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.1603   11.5062   47.9549 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.4408   12.7864   48.3127 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.1518   13.5711   48.5710 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6230   12.7854   49.0333 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0611   18.5631   45.4165 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.0231    8.9672   47.8601 *   0  0  0  0  0  0  0  0  0  0  0  0
+4ccu_chainA
+     RDKit          3D
+
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+   -0.8008   16.8942   45.1212 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1663   16.5521   46.4339 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2461   14.5069   45.5274 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3234   17.4374   47.6277 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1050   18.4678   47.3471 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6331   17.1196   48.4091 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3465   17.3707   47.9975 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8492   12.5957   45.8232 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0615   12.9244   46.8405 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9422   11.5112   45.7649 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5578   13.0586   45.1364 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4032   12.3205   46.3563 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5652   12.6388   47.3861 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6041   12.5969   46.0448 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5210   11.2391   46.2875 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4279   13.0061   45.4416 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4137   15.1988   46.6382 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1791   12.5602   44.0999 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8199   12.9889   43.5280 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7869   15.4428   44.1714 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4467   18.1714   44.4570 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
-  1  9  1  0
-  2  3  1  0
+  1 20  1  0
   2  4  1  0
+  2 17  1  0
+  3 16  1  0
+  3 17  2  0
+  3 20  1  0
   4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6 15  1  0
-  7  8  1  0
-  7  9  2  0
-  9 10  1  0
- 10 11  1  0
- 11 12  1  0
- 11 13  1  0
- 11 14  1  0
- 15 16  1  0
- 15 27  1  0
- 16 17  1  0
+  4  6  1  0
+  4  7  1  0
+  8  9  1  0
+  8 10  1  0
+  8 11  1  0
+  8 16  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 12 15  1  0
+ 12 16  1  0
  16 18  1  0
- 16 19  1  0
- 19 20  1  0
- 19 21  1  0
- 19 22  1  0
- 22 23  1  0
- 22 24  1  0
- 24 25  1  0
- 24 26  1  0
- 24 27  1  0
- 27 28  1  0
- 27 29  1  0
-  1 30  1  0
- 22 31  1  0
-V   30 *
-V   31 *
+ 18 19  1  0
+ 21  1  1  0
+V   21 *
 M  END
 >  <kinase>  (4) 
 ALK
@@ -298,10 +276,10 @@ ALK
 TK
 
 >  <complex_pdb>  (4) 
-2xb7
+4ccu
 
 >  <ligand_pdb>  (4) 
-GUI
+AWF
 
 >  <alt>  (4) 
  
@@ -310,10 +288,10 @@ GUI
 A
 
 >  <atom.prop.subpocket>  (4) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP X-SE
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
 >  <atom.prop.environment>  (4) 
-16 16 16 16 16 16 16 16 16 3 3 3 3 3 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 na na
+14 14 14 8 8 8 8 4 4 4 4 4 4 4 4 4 14 3 3 14 na
 
 $$$$
 4cmo_chainA
@@ -349,7 +327,7 @@ $$$$
  11 12  1  0
  11 13  1  0
  11 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
 >  <kinase>  (5) 
@@ -377,7 +355,7 @@ A
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
 >  <atom.prop.environment>  (5) 
-16 16 16 16 16 16 16 16 16 3 3 3 3 3 na
+16 14 14 14 14 14 14 14 14 3 3 3 3 3 na
 
 $$$$
 4cmt_chainA
@@ -394,7 +372,7 @@ $$$$
    -1.2254   13.6149   44.7655 H   0  0  0  0  0  0  0  0  0  0  0  0
    -0.8420   15.7499   44.5911 C   0  0  0  0  0  0  0  0  0  0  0  0
    -0.5589   15.6863   43.5508 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0561   16.0271   48.9931 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0561   16.0271   48.9931 S   0  0  0  0  0  6  0  0  0  0  0  0
    -1.2707   14.6888   49.8479 C   0  0  0  0  0  0  0  0  0  0  0  0
    -0.1909   14.8376   49.8417 H   0  0  0  0  0  0  0  0  0  0  0  0
    -1.5109   13.7492   49.3504 H   0  0  0  0  0  0  0  0  0  0  0  0
@@ -419,7 +397,7 @@ $$$$
  12 13  1  0
  12 14  1  0
  12 15  1  0
-  1 18  1  0
+ 18  1  1  0
 V   18 *
 M  END
 >  <kinase>  (6) 
@@ -572,7 +550,7 @@ $$$$
  14 15  2  0
   6 16  1  0
  15 17  1  0
-  1 18  1  0
+ 18  1  1  0
 V   16 *
 V   17 *
 V   18 *
@@ -602,7 +580,7 @@ A
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE X-SE AP FP
 
 >  <atom.prop.environment>  (8) 
-9 9 9 9 9 8 8 8 9 9 9 9 9 9 9 na na na
+9 14 14 14 16 4 4 4 14 14 14 14 14 14 14 na na na
 
 $$$$
 6edl_altB_chainA
@@ -668,6 +646,69 @@ SE SE SE SE SE SE SE SE SE SE SE SE FP AP
 >  <atom.prop.environment>  (9) 
 14 14 14 14 14 14 14 14 14 14 14 14 na na
 
+$$$$
+7jyr_altB_chainA
+     RDKit          3D
+
+ 14 14  0  0  0  0  0  0  0  0999 V2000
+   -0.4455   18.1588   44.8259 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4497   17.2716   46.8347 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1180   16.8516   44.4255 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1337   17.4852   48.0739 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1216   15.9758   46.4298 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3838   15.1318   47.0506 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4628   15.7773   45.2369 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2108   14.7736   44.9279 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1082   18.3569   46.0301 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3606   19.3586   46.3451 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6764   17.6528   49.0569 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5302   16.6010   43.2580 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9099   15.2369   43.0436 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1090   19.3562   44.0118 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  3  2  0
+  1  9  1  0
+  2  4  1  0
+  2  5  1  0
+  2  9  2  0
+  3  7  1  0
+  3 12  1  0
+  4 11  3  0
+  5  6  1  0
+  5  7  2  0
+  7  8  1  0
+  9 10  1  0
+ 13 12  1  0
+ 14  1  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (10) 
+ALK
+
+>  <family>  (10) 
+ALK
+
+>  <group>  (10) 
+TK
+
+>  <complex_pdb>  (10) 
+7jyr
+
+>  <ligand_pdb>  (10) 
+VTA
+
+>  <alt>  (10) 
+B
+
+>  <chain>  (10) 
+A
+
+>  <atom.prop.subpocket>  (10) 
+SE SE SE SE SE SE SE SE SE SE SE SE FP AP
+
+>  <atom.prop.environment>  (10) 
+16 16 16 16 16 16 16 16 16 16 16 3 na na
+
 $$$$
 3mtf_altA_chainA
      RDKit          3D
@@ -701,31 +742,31 @@ $$$$
  12 13  1  0
 V   13 *
 M  END
->  <kinase>  (10) 
+>  <kinase>  (11) 
 ALK2
 
->  <family>  (10) 
+>  <family>  (11) 
 STKR
 
->  <group>  (10) 
+>  <group>  (11) 
 TKL
 
->  <complex_pdb>  (10) 
+>  <complex_pdb>  (11) 
 3mtf
 
->  <ligand_pdb>  (10) 
+>  <ligand_pdb>  (11) 
 A3F
 
->  <alt>  (10) 
+>  <alt>  (11) 
 A
 
->  <chain>  (10) 
+>  <chain>  (11) 
 A
 
->  <atom.prop.subpocket>  (10) 
+>  <atom.prop.subpocket>  (11) 
 SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (10) 
+>  <atom.prop.environment>  (11) 
 3 3 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -767,31 +808,31 @@ $$$$
  15 16  1  0
 V   16 *
 M  END
->  <kinase>  (11) 
+>  <kinase>  (12) 
 ALK2
 
->  <family>  (11) 
+>  <family>  (12) 
 STKR
 
->  <group>  (11) 
+>  <group>  (12) 
 TKL
 
->  <complex_pdb>  (11) 
+>  <complex_pdb>  (12) 
 4c02
 
->  <ligand_pdb>  (11) 
+>  <ligand_pdb>  (12) 
 TAK
 
->  <alt>  (11) 
+>  <alt>  (12) 
 A
 
->  <chain>  (11) 
+>  <chain>  (12) 
 A
 
->  <atom.prop.subpocket>  (11) 
+>  <atom.prop.subpocket>  (12) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (11) 
+>  <atom.prop.environment>  (12) 
 3 3 3 3 3 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -852,33 +893,114 @@ $$$$
  18 25  1  0
 V   25 *
 M  END
->  <kinase>  (12) 
+>  <kinase>  (13) 
 ALK2
 
->  <family>  (12) 
+>  <family>  (13) 
 STKR
 
->  <group>  (12) 
+>  <group>  (13) 
 TKL
 
->  <complex_pdb>  (12) 
+>  <complex_pdb>  (13) 
 6gin
 
->  <ligand_pdb>  (12) 
+>  <ligand_pdb>  (13) 
 IR2
 
->  <alt>  (12) 
+>  <alt>  (13) 
 B
 
->  <chain>  (12) 
+>  <chain>  (13) 
 B
 
->  <atom.prop.subpocket>  (12) 
+>  <atom.prop.subpocket>  (13) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (12) 
+>  <atom.prop.environment>  (13) 
 5 5 5 5 5 5 5 5 5 5 5 5 16 16 16 16 16 16 16 16 16 16 5 5 na
 
+$$$$
+2np8_chainA
+     RDKit          3D
+
+ 23 24  0  0  0  0  0  0  0  0999 V2000
+   -4.0495   13.5280   49.0814 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.6655   14.5881   49.1598 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.6759   14.7788   50.2630 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.0582   15.2797   51.0084 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.0808   14.9921   49.6984 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.2245   15.1124   48.6247 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.7937   15.6199   50.2330 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -6.6833   13.6345   50.2675 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.1135   13.2914   51.2085 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -6.5442   12.7839   49.6002 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.4868   15.6280   48.3293 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.0916   16.4260   48.4618 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5677   15.7121   47.3232 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1862   16.9774   46.8872 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6083   17.8498   47.3637 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0172   14.5923   46.6930 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3100   13.6030   47.0123 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0962   14.7364   45.6590 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6704   13.8640   45.1857 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7261   16.0151   45.2370 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0143   16.1306   44.4330 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2710   17.1434   45.8487 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9606   18.4174   45.4969 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  2  3  1  0
+  2 11  1  0
+  3  4  1  0
+  3  5  1  0
+  3  8  1  0
+  5  6  1  0
+  5  7  1  0
+  5  8  1  0
+  8  9  1  0
+  8 10  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 13 14  2  0
+ 13 16  1  0
+ 14 15  1  0
+ 14 22  1  0
+ 16 17  1  0
+ 16 18  2  0
+ 18 19  1  0
+ 18 20  1  0
+ 20 21  1  0
+ 20 22  2  0
+ 22 23  1  0
+V   23 *
+M  END
+>  <kinase>  (14) 
+AurA
+
+>  <family>  (14) 
+Aur
+
+>  <group>  (14) 
+Other
+
+>  <complex_pdb>  (14) 
+2np8
+
+>  <ligand_pdb>  (14) 
+CC3
+
+>  <alt>  (14) 
+ 
+
+>  <chain>  (14) 
+A
+
+>  <atom.prop.subpocket>  (14) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (14) 
+1 1 15 15 15 15 15 15 15 15 5 5 16 16 16 16 16 16 16 16 16 16 na
+
 $$$$
 2w1d_chainA
      RDKit          3D
@@ -914,34 +1036,34 @@ $$$$
  10 12  2  0
  12 13  1  0
  13 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
->  <kinase>  (13) 
+>  <kinase>  (15) 
 AurA
 
->  <family>  (13) 
+>  <family>  (15) 
 Aur
 
->  <group>  (13) 
+>  <group>  (15) 
 Other
 
->  <complex_pdb>  (13) 
+>  <complex_pdb>  (15) 
 2w1d
 
->  <ligand_pdb>  (13) 
+>  <ligand_pdb>  (15) 
 L0D
 
->  <alt>  (13) 
+>  <alt>  (15) 
  
 
->  <chain>  (13) 
+>  <chain>  (15) 
 A
 
->  <atom.prop.subpocket>  (13) 
+>  <atom.prop.subpocket>  (15) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (13) 
+>  <atom.prop.environment>  (15) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
@@ -977,165 +1099,165 @@ $$$$
   1 13  1  0
 V   13 *
 M  END
->  <kinase>  (14) 
+>  <kinase>  (16) 
 AurA
 
->  <family>  (14) 
+>  <family>  (16) 
 Aur
 
->  <group>  (14) 
+>  <group>  (16) 
 Other
 
->  <complex_pdb>  (14) 
+>  <complex_pdb>  (16) 
 3nrm
 
->  <ligand_pdb>  (14) 
+>  <ligand_pdb>  (16) 
 NRM
 
->  <alt>  (14) 
+>  <alt>  (16) 
  
 
->  <chain>  (14) 
+>  <chain>  (16) 
 A
 
->  <atom.prop.subpocket>  (14) 
+>  <atom.prop.subpocket>  (16) 
 SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (14) 
+>  <atom.prop.environment>  (16) 
 5 5 14 14 14 14 14 8 8 8 8 14 na
 
 $$$$
-3p9j_chainA
+3uo4_chainA
      RDKit          3D
 
- 17 18  0  0  0  0  0  0  0  0999 V2000
-   -2.5275   14.4356   45.8319 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6188   15.0858   44.9743 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.3302   15.1968   46.6536 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.2764   14.5984   47.4688 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.3943   13.5248   47.4695 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -5.0728   15.3917   48.2861 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -5.8182   14.9354   48.9206 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.9104   16.7721   48.2872 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -5.5260   17.3879   48.9260 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.9529   17.3611   47.4637 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.8268   18.4337   47.4630 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.1602   16.5668   46.6431 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1777   17.1083   45.8139 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4208   16.2991   45.0588 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6675   13.2139   45.8335 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0292   18.4303   45.7606 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7413   14.3134   44.2284 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1 15  2  0
-  2 14  1  0
-  3  4  2  0
-  3 12  1  0
+ 14 14  0  0  0  0  0  0  0  0999 V2000
+   -2.5132   17.3787   46.1673 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1659   17.4141   47.3927 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.4647   18.3624   47.8144 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.4363   16.2399   48.0778 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.9429   16.2729   49.0310 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0536   15.0216   47.5344 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4055   14.9809   46.3046 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1092   14.0321   45.8822 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1389   16.1594   45.6187 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6415   16.1271   44.6606 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3435   13.7596   48.2779 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2817   12.6532   47.6782 O   0  0  0  0  0  1  0  0  0  0  0  0
+   -3.6496   13.8010   49.5021 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2722   18.6203   45.4924 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  9  1  0
+  2  3  1  0
+  2  4  1  0
   4  5  1  0
-  4  6  1  0
+  4  6  2  0
   6  7  1  0
-  6  8  2  0
-  8  9  1  0
-  8 10  1  0
- 10 11  1  0
- 10 12  2  0
- 12 13  1  0
- 13 14  2  0
- 13 16  1  0
-  2 17  1  0
-V   16 *
-V   17 *
+  6 11  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+ 11 12  1  0
+ 11 13  2  0
+ 14  1  1  0
+M  CHG  1  12  -1
+V   14 *
 M  END
->  <kinase>  (15) 
+>  <kinase>  (17) 
 AurA
 
->  <family>  (15) 
+>  <family>  (17) 
 Aur
 
->  <group>  (15) 
+>  <group>  (17) 
 Other
 
->  <complex_pdb>  (15) 
-3p9j
+>  <complex_pdb>  (17) 
+3uo4
 
->  <ligand_pdb>  (15) 
-P9J
+>  <ligand_pdb>  (17) 
+0C0
 
->  <alt>  (15) 
+>  <alt>  (17) 
  
 
->  <chain>  (15) 
+>  <chain>  (17) 
 A
 
->  <atom.prop.subpocket>  (15) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP FP
+>  <atom.prop.subpocket>  (17) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (15) 
-9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 na na
+>  <atom.prop.environment>  (17) 
+16 16 16 16 16 16 16 16 16 16 6 6 6 na
 
 $$$$
-3unz_chainA
+3w10_chainA
      RDKit          3D
 
- 14 14  0  0  0  0  0  0  0  0999 V2000
-   -1.1535   14.8833   44.9601 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8277   14.0278   44.3871 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6941   14.7035   46.2317 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1164   15.7988   46.9646 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.5375   15.6628   47.9498 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9968   17.0676   46.4298 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3314   17.9213   47.0004 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4523   17.2565   45.1699 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0328   16.1617   44.4274 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6148   16.3020   43.4415 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8321   13.3445   46.8339 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6146   13.1722   47.8020 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1696   12.3752   46.3785 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3783   18.6001   44.6761 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  2  0
-  1  9  1  0
-  3  4  1  0
-  3 11  1  0
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+   -1.0656   17.4584   45.2831 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8843   16.9260   46.2747 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5825   17.5566   46.8050 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6360   12.8128   47.1806 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5579   11.7614   47.4147 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5950   14.9951   47.5519 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2934   15.6170   48.0921 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5204   13.6266   47.8538 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1597   13.2093   48.6177 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9227   14.7503   45.8762 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2394   16.6410   44.6297 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7911   15.5688   46.5740 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8484   13.3865   46.1919 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1556   12.7615   45.6479 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1315   15.3267   44.8768 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1491   18.7711   44.9827 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7832   14.6014   44.0827 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 11  1  0
+  2  3  1  0
+  2 12  1  0
   4  5  1  0
-  4  6  2  0
+  4  8  2  0
+  4 13  1  0
   6  7  1  0
   6  8  1  0
-  8  9  2  0
-  9 10  1  0
- 11 12  1  0
- 11 13  2  0
-  8 14  1  0
-M  CHG  1  12  -1
-V   14 *
+  6 12  2  0
+  8  9  1  0
+ 10 12  1  0
+ 10 13  2  0
+ 10 15  1  0
+ 11 15  2  0
+ 13 14  1  0
+  1 16  1  0
+ 15 17  1  0
+V   16 *
+V   17 *
 M  END
->  <kinase>  (16) 
+>  <kinase>  (18) 
 AurA
 
->  <family>  (16) 
+>  <family>  (18) 
 Aur
 
->  <group>  (16) 
+>  <group>  (18) 
 Other
 
->  <complex_pdb>  (16) 
-3unz
+>  <complex_pdb>  (18) 
+3w10
 
->  <ligand_pdb>  (16) 
-0BZ
+>  <ligand_pdb>  (18) 
+RO9
 
->  <alt>  (16) 
+>  <alt>  (18) 
  
 
->  <chain>  (16) 
+>  <chain>  (18) 
 A
 
->  <atom.prop.subpocket>  (16) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+>  <atom.prop.subpocket>  (18) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP FP
 
->  <atom.prop.environment>  (16) 
-16 16 16 16 16 16 16 16 16 16 6 6 6 na
+>  <atom.prop.environment>  (18) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na na
 
 $$$$
 4deb_chainA
@@ -1173,35 +1295,35 @@ $$$$
  11 12  1  0
  11 13  2  0
  14 15  2  0
- 13 16  1  0
+ 16 13  1  0
 V   16 *
 M  END
->  <kinase>  (17) 
+>  <kinase>  (19) 
 AurA
 
->  <family>  (17) 
+>  <family>  (19) 
 Aur
 
->  <group>  (17) 
+>  <group>  (19) 
 Other
 
->  <complex_pdb>  (17) 
+>  <complex_pdb>  (19) 
 4deb
 
->  <ligand_pdb>  (17) 
+>  <ligand_pdb>  (19) 
 NHJ
 
->  <alt>  (17) 
+>  <alt>  (19) 
  
 
->  <chain>  (17) 
+>  <chain>  (19) 
 A
 
->  <atom.prop.subpocket>  (17) 
+>  <atom.prop.subpocket>  (19) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (17) 
-5 5 5 16 16 16 16 16 16 16 16 16 16 6 6 na
+>  <atom.prop.environment>  (19) 
+5 5 5 16 16 16 16 16 16 16 16 16 16 1 1 na
 
 $$$$
 4j8m_chainA
@@ -1231,35 +1353,35 @@ $$$$
   7  9  1  0
   9 10  2  0
   9 11  1  0
-  1 12  1  0
+ 12  1  1  0
 V   11 *
 V   12 *
 M  END
->  <kinase>  (18) 
+>  <kinase>  (20) 
 AurA
 
->  <family>  (18) 
+>  <family>  (20) 
 Aur
 
->  <group>  (18) 
+>  <group>  (20) 
 Other
 
->  <complex_pdb>  (18) 
+>  <complex_pdb>  (20) 
 4j8m
 
->  <ligand_pdb>  (18) 
+>  <ligand_pdb>  (20) 
 CJ5
 
->  <alt>  (18) 
+>  <alt>  (20) 
  
 
->  <chain>  (18) 
+>  <chain>  (20) 
 A
 
->  <atom.prop.subpocket>  (18) 
+>  <atom.prop.subpocket>  (20) 
 SE SE SE SE SE SE SE SE SE SE AP FP
 
->  <atom.prop.environment>  (18) 
+>  <atom.prop.environment>  (20) 
 5 5 14 14 14 14 14 14 14 14 na na
 
 $$$$
@@ -1319,112 +1441,36 @@ $$$$
  22 23  1  0
  22 24  1  0
   1 25  1  0
- 24 26  1  0
+ 26 24  1  0
 V   25 *
 V   26 *
 M  END
->  <kinase>  (19) 
+>  <kinase>  (21) 
 AurA
 
->  <family>  (19) 
+>  <family>  (21) 
 Aur
 
->  <group>  (19) 
+>  <group>  (21) 
 Other
 
->  <complex_pdb>  (19) 
+>  <complex_pdb>  (21) 
 5one
 
->  <ligand_pdb>  (19) 
+>  <ligand_pdb>  (21) 
 9YQ
 
->  <alt>  (19) 
+>  <alt>  (21) 
 B
 
->  <chain>  (19) 
+>  <chain>  (21) 
 A
 
->  <atom.prop.subpocket>  (19) 
+>  <atom.prop.subpocket>  (21) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP X-SE
 
->  <atom.prop.environment>  (19) 
-16 16 16 16 16 16 6 5 5 16 16 16 16 16 16 16 16 16 6 16 16 16 16 16 na na
-
-$$$$
-6c2t_altB_chainA
-     RDKit          3D
-
- 20 21  0  0  0  0  0  0  0  0999 V2000
-   -5.5102   14.4150   48.9765 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -6.3475   14.2810   49.6453 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.5121   13.5313   47.9462 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.8455   12.7004   47.7681 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -5.2529   15.6638   48.4371 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -5.9793   16.4550   48.5502 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.6972   13.3336   48.6620 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.9808   12.3384   48.9709 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.8191   17.1779   47.1711 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.5019   18.0026   47.3124 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.0511   15.9131   47.7411 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.1836   14.8189   47.4538 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0912   15.0626   46.6074 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6652   17.3035   46.4191 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0885   14.0315   46.1524 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1012   13.2107   46.8695 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1033   14.4979   46.1515 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8353   16.2837   46.1160 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3596   18.5401   45.8066 *   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3356   13.4442   44.7562 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  5  2  0
-  1  7  1  0
-  3  4  1  0
-  3  7  2  0
-  3 12  1  0
-  5  6  1  0
-  5 11  1  0
-  7  8  1  0
-  9 10  1  0
-  9 11  2  0
-  9 14  1  0
- 11 12  1  0
- 12 13  2  0
- 13 15  1  0
- 13 18  1  0
- 14 18  2  0
- 15 16  1  0
- 15 17  1  0
- 14 19  1  0
- 15 20  1  0
-V   19 *
-V   20 *
-M  END
->  <kinase>  (20) 
-AurA
-
->  <family>  (20) 
-Aur
-
->  <group>  (20) 
-Other
-
->  <complex_pdb>  (20) 
-6c2t
-
->  <ligand_pdb>  (20) 
-EGJ
-
->  <alt>  (20) 
-B
-
->  <chain>  (20) 
-A
-
->  <atom.prop.subpocket>  (20) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP FP
-
->  <atom.prop.environment>  (20) 
-14 14 14 14 14 14 14 14 14 14 14 14 14 14 8 8 8 14 na na
+>  <atom.prop.environment>  (21) 
+16 16 16 16 16 16 1 5 5 16 16 16 16 16 16 16 16 16 1 16 16 16 16 16 na na
 
 $$$$
 5jsm_altA_chainC
@@ -1469,38 +1515,117 @@ $$$$
  13 14  1  0
  13 15  2  0
  15 16  1  0
- 17 19  1  0
+ 19 17  1  0
  12 20  1  0
 V   19 *
 V   20 *
 M  END
->  <kinase>  (21) 
+>  <kinase>  (22) 
 BRAF
 
->  <family>  (21) 
+>  <family>  (22) 
 RAF
 
->  <group>  (21) 
+>  <group>  (22) 
 TKL
 
->  <complex_pdb>  (21) 
+>  <complex_pdb>  (22) 
 5jsm
 
->  <ligand_pdb>  (21) 
+>  <ligand_pdb>  (22) 
 6NB
 
->  <alt>  (21) 
+>  <alt>  (22) 
 A
 
->  <chain>  (21) 
+>  <chain>  (22) 
 C
 
->  <atom.prop.subpocket>  (21) 
+>  <atom.prop.subpocket>  (22) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE X-SE AP
 
->  <atom.prop.environment>  (21) 
+>  <atom.prop.environment>  (22) 
 4 4 4 4 4 4 16 16 16 16 16 16 16 16 16 16 3 3 na na
 
+$$$$
+5jt2_chainA
+     RDKit          3D
+
+ 22 22  0  0  0  0  0  0  0  0999 V2000
+   -1.0638   10.6568   48.4560 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9589    9.5807   48.3172 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1048   11.1417   48.2735 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1556   11.2274   47.4995 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0087   11.1117   46.0543 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2135   10.6396   45.6483 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0487   11.7004   45.2087 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.9908   11.7628   45.7533 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1887   11.1034   44.3076 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6359   15.6617   44.1164 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9447   14.7221   43.1230 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8372   14.9833   42.0806 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3847   13.4672   43.4760 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6144   12.7389   42.7123 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5348   13.1348   44.8396 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2128   14.0772   45.8281 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3069   13.8138   46.8713 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7736   15.3468   45.4740 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5423   16.0790   46.2334 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1164   11.7594   47.9271 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5331   10.9508   49.7861 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1599   17.0290   43.6897 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  4  5  1  0
+  4 20  2  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7  9  1  0
+  7 15  1  0
+ 10 11  2  0
+ 10 18  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 13 14  1  0
+ 13 15  2  0
+ 15 16  1  0
+ 16 17  1  0
+ 16 18  2  0
+ 18 19  1  0
+ 21  1  1  0
+ 22 10  1  0
+V   21 *
+V   22 *
+M  END
+>  <kinase>  (23) 
+BRAF
+
+>  <family>  (23) 
+RAF
+
+>  <group>  (23) 
+TKL
+
+>  <complex_pdb>  (23) 
+5jt2
+
+>  <ligand_pdb>  (23) 
+6NC
+
+>  <alt>  (23) 
+ 
+
+>  <chain>  (23) 
+A
+
+>  <atom.prop.subpocket>  (23) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE X-SE AP
+
+>  <atom.prop.environment>  (23) 
+4 1 1 1 5 5 4 4 4 16 16 16 16 16 16 16 16 16 16 1 na na
+
 $$$$
 3piz_chainA
      RDKit          3D
@@ -1560,36 +1685,36 @@ $$$$
  22 24  1  0
  22 25  1  0
  25 26  1  0
-  1 27  1  0
+ 27  1  1  0
 V   26 *
 V   27 *
 M  END
->  <kinase>  (22) 
+>  <kinase>  (24) 
 BTK
 
->  <family>  (22) 
+>  <family>  (24) 
 Tec
 
->  <group>  (22) 
+>  <group>  (24) 
 TK
 
->  <complex_pdb>  (22) 
+>  <complex_pdb>  (24) 
 3piz
 
->  <ligand_pdb>  (22) 
+>  <ligand_pdb>  (24) 
 03C
 
->  <alt>  (22) 
+>  <alt>  (24) 
  
 
->  <chain>  (22) 
+>  <chain>  (24) 
 A
 
->  <atom.prop.subpocket>  (22) 
+>  <atom.prop.subpocket>  (24) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE FP AP
 
->  <atom.prop.environment>  (22) 
-16 16 16 16 16 16 16 16 15 15 16 16 15 15 15 15 15 15 15 15 15 15 15 15 15 na na
+>  <atom.prop.environment>  (24) 
+16 16 16 16 16 16 16 16 15 5 16 16 5 5 5 5 5 5 5 5 5 5 5 5 5 na na
 
 $$$$
 4nwm_altA_chainB
@@ -1653,32 +1778,119 @@ $$$$
  10 27  1  0
 V   27 *
 M  END
->  <kinase>  (23) 
+>  <kinase>  (25) 
 BTK
 
->  <family>  (23) 
+>  <family>  (25) 
 Tec
 
->  <group>  (23) 
+>  <group>  (25) 
 TK
 
->  <complex_pdb>  (23) 
+>  <complex_pdb>  (25) 
 4nwm
 
->  <ligand_pdb>  (23) 
+>  <ligand_pdb>  (25) 
 2P5
 
->  <alt>  (23) 
+>  <alt>  (25) 
 A
 
->  <chain>  (23) 
+>  <chain>  (25) 
 B
 
->  <atom.prop.subpocket>  (23) 
+>  <atom.prop.subpocket>  (25) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (23) 
-16 16 16 16 16 16 16 16 16 16 6 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 na
+>  <atom.prop.environment>  (25) 
+16 16 16 16 16 16 16 16 16 16 1 5 5 5 5 5 5 5 5 5 5 5 5 5 1 5 na
+
+$$$$
+4rfy_altB_chainA
+     RDKit          3D
+
+ 26 27  0  0  0  0  0  0  0  0999 V2000
+   -1.9349   16.7822   46.5376 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7241   17.0841   47.6683 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9798   18.1063   47.9051 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1610   16.0485   48.4628 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.7664   16.2375   49.3370 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7973   14.7357   48.1050 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0155   14.5099   46.9415 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7527   13.5015   46.6580 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6059   15.5329   46.2002 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2345   13.5296   48.8709 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3870   12.7456   49.2470 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.5590   13.2472   49.0608 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.9491   12.0006   49.7990 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.2885   11.8812   50.6578 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.8336   11.1474   49.1305 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -6.4036   12.0444   50.2971 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -6.4803   12.7192   51.1496 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -6.7206   11.0450   50.5952 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.2398   12.5197   49.2241 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.0308   13.9278   49.1103 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.1029   14.3921   50.0938 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.7815   14.3599   48.4486 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.6285   14.1598   48.5274 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.6839   14.0207   47.4477 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.3368   15.1869   48.7468 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5115   17.8038   45.7180 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  9  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6 10  1  0
+  7  8  1  0
+  7  9  2  0
+ 10 11  2  0
+ 10 12  1  0
+ 12 13  1  0
+ 12 23  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 16  1  0
+ 16 17  1  0
+ 16 18  1  0
+ 16 19  1  0
+ 19 20  1  0
+ 20 21  1  0
+ 20 22  1  0
+ 20 23  1  0
+ 23 24  1  0
+ 23 25  1  0
+ 26  1  1  0
+V   26 *
+M  END
+>  <kinase>  (26) 
+BTK
+
+>  <family>  (26) 
+Tec
+
+>  <group>  (26) 
+TK
+
+>  <complex_pdb>  (26) 
+4rfy
+
+>  <ligand_pdb>  (26) 
+3OU
+
+>  <alt>  (26) 
+B
+
+>  <chain>  (26) 
+A
+
+>  <atom.prop.subpocket>  (26) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (26) 
+14 14 14 14 14 16 14 14 14 1 1 5 5 5 5 5 5 5 5 5 5 5 5 5 5 na
 
 $$$$
 5kup_altA_chainA
@@ -1708,36 +1920,117 @@ $$$$
   8  9  1  0
   9 10  1  0
   9 11  2  0
-  1 12  1  0
+ 12  1  1  0
 V   12 *
 M  END
->  <kinase>  (24) 
+>  <kinase>  (27) 
 BTK
 
->  <family>  (24) 
+>  <family>  (27) 
 Tec
 
->  <group>  (24) 
+>  <group>  (27) 
 TK
 
->  <complex_pdb>  (24) 
+>  <complex_pdb>  (27) 
 5kup
 
->  <ligand_pdb>  (24) 
+>  <ligand_pdb>  (27) 
 6XL
 
->  <alt>  (24) 
+>  <alt>  (27) 
 A
 
->  <chain>  (24) 
+>  <chain>  (27) 
 A
 
->  <atom.prop.subpocket>  (24) 
+>  <atom.prop.subpocket>  (27) 
 SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (24) 
+>  <atom.prop.environment>  (27) 
 5 5 14 14 14 14 14 14 14 14 14 na
 
+$$$$
+1h00_altB_chainA
+     RDKit          3D
+
+ 23 23  0  0  0  0  0  0  0  0999 V2000
+   -1.7852   16.3609   45.5862 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3969   17.0134   46.3542 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9114   16.8344   44.2523 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4332   15.9579   43.2449 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5363   16.3110   42.2295 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8130   14.6386   43.5682 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2032   13.9875   42.8000 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6840   14.1634   44.9003 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1674   15.0345   45.9125 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0684   14.6804   46.9280 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0835   12.8455   45.1079 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2592   11.6770   44.8368 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3773   11.7294   45.4752 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9535   11.7136   43.7912 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9514   10.3203   45.0864 C   0  0  1  0  0  0  0  0  0  0  0  0
+   -2.1245    9.6194   45.2002 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.7228   10.1469   46.4156 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.7392    9.8382   46.1710 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.7475   11.1164   46.9133 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.7698    9.9813   43.9692 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.7565   10.7256   43.3631 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1654    9.1509   47.3862 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5020   18.2074   43.9739 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  9  1  0
+  3  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6  8  1  0
+  8  9  2  0
+  8 11  1  0
+  9 10  1  0
+ 11 12  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 12 15  1  0
+ 15 16  1  1
+ 15 17  1  0
+ 15 20  1  0
+ 17 18  1  0
+ 17 19  1  0
+ 20 21  1  0
+ 17 22  1  0
+  3 23  1  0
+V   22 *
+V   23 *
+M  END
+>  <kinase>  (28) 
+CDK2
+
+>  <family>  (28) 
+CDK
+
+>  <group>  (28) 
+CMGC
+
+>  <complex_pdb>  (28) 
+1h00
+
+>  <ligand_pdb>  (28) 
+FCP
+
+>  <alt>  (28) 
+B
+
+>  <chain>  (28) 
+A
+
+>  <atom.prop.subpocket>  (28) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE X-SE AP
+
+>  <atom.prop.environment>  (28) 
+16 16 16 16 16 16 16 16 16 16 3 4 4 4 4 4 4 4 4 3 3 na na
+
 $$$$
 1ke5_chainA
      RDKit          3D
@@ -1753,7 +2046,7 @@ $$$$
    -3.5741   15.0836   47.0160 H   0  0  0  0  0  0  0  0  0  0  0  0
    -2.4872   16.1836   45.4259 C   0  0  0  0  0  0  0  0  0  0  0  0
    -2.2304   17.0309   46.0444 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.7124   12.6739   45.6829 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.7124   12.6739   45.6829 S   0  0  0  0  0  6  0  0  0  0  0  0
    -5.9476   12.8854   45.0045 O   0  0  0  0  0  0  0  0  0  0  0  0
    -4.7306   12.7021   47.1149 O   0  0  0  0  0  0  0  0  0  0  0  0
    -4.1200   11.1772   45.3199 N   0  0  0  0  0  0  0  0  0  0  0  0
@@ -1782,35 +2075,108 @@ $$$$
  16 17  1  0
  16 18  1  0
  16 19  1  0
-  1 20  1  0
+ 20  1  1  0
 V   20 *
 M  END
->  <kinase>  (25) 
+>  <kinase>  (29) 
 CDK2
 
->  <family>  (25) 
+>  <family>  (29) 
 CDK
 
->  <group>  (25) 
+>  <group>  (29) 
 CMGC
 
->  <complex_pdb>  (25) 
+>  <complex_pdb>  (29) 
 1ke5
 
->  <ligand_pdb>  (25) 
+>  <ligand_pdb>  (29) 
 LS1
 
->  <alt>  (25) 
+>  <alt>  (29) 
  
 
->  <chain>  (25) 
+>  <chain>  (29) 
 A
 
->  <atom.prop.subpocket>  (25) 
+>  <atom.prop.subpocket>  (29) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (25) 
-16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 5 5 5 5 na
+>  <atom.prop.environment>  (29) 
+16 12 12 12 12 12 12 12 12 12 12 12 12 5 5 5 5 5 5 na
+
+$$$$
+1ke7_chainA
+     RDKit          3D
+
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -2.1342   16.3501   44.8818 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7503   15.2415   44.0804 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7511   15.2874   43.0014 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3497   14.0983   44.7681 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.9683   12.9130   44.1353 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1974   12.1794   43.8993 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.4787   13.2110   43.2195 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.1453   12.2014   45.2740 S   0  0  0  0  0  6  0  0  0  0  0  0
+   -5.1232   10.7636   45.2331 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -6.3743   12.9200   45.0911 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.2402   12.8872   46.6850 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5800   12.1248   47.0985 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.9478   13.2084   47.4493 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.4289   14.0570   46.2345 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7982   15.1169   47.0565 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7976   15.0502   48.1344 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1680   16.2707   46.3705 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7277   17.0638   46.9567 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5426   17.4589   44.3218 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 17  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4 14  2  0
+  5  6  1  0
+  5  7  1  0
+  5  8  1  0
+  8  9  2  0
+  8 10  2  0
+  8 11  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 14 15  1  0
+ 15 16  1  0
+ 15 17  2  0
+ 17 18  1  0
+ 19  1  1  0
+V   19 *
+M  END
+>  <kinase>  (30) 
+CDK2
+
+>  <family>  (30) 
+CDK
+
+>  <group>  (30) 
+CMGC
+
+>  <complex_pdb>  (30) 
+1ke7
+
+>  <ligand_pdb>  (30) 
+LS3
+
+>  <alt>  (30) 
+ 
+
+>  <chain>  (30) 
+A
+
+>  <atom.prop.subpocket>  (30) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (30) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 1pxl_altA_chainA
@@ -1849,31 +2215,31 @@ $$$$
  14 15  1  0
 V   15 *
 M  END
->  <kinase>  (26) 
+>  <kinase>  (31) 
 CDK2
 
->  <family>  (26) 
+>  <family>  (31) 
 CDK
 
->  <group>  (26) 
+>  <group>  (31) 
 CMGC
 
->  <complex_pdb>  (26) 
+>  <complex_pdb>  (31) 
 1pxl
 
->  <ligand_pdb>  (26) 
+>  <ligand_pdb>  (31) 
 CK4
 
->  <alt>  (26) 
+>  <alt>  (31) 
 A
 
->  <chain>  (26) 
+>  <chain>  (31) 
 A
 
->  <atom.prop.subpocket>  (26) 
+>  <atom.prop.subpocket>  (31) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (26) 
+>  <atom.prop.environment>  (31) 
 8 8 8 8 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -1920,34 +2286,34 @@ $$$$
  16 17  1  0
  16 18  1  0
  16 19  1  0
-  1 20  1  0
+ 20  1  1  0
 V   20 *
 M  END
->  <kinase>  (27) 
+>  <kinase>  (32) 
 CDK2
 
->  <family>  (27) 
+>  <family>  (32) 
 CDK
 
->  <group>  (27) 
+>  <group>  (32) 
 CMGC
 
->  <complex_pdb>  (27) 
+>  <complex_pdb>  (32) 
 1pxp
 
->  <ligand_pdb>  (27) 
+>  <ligand_pdb>  (32) 
 CK8
 
->  <alt>  (27) 
+>  <alt>  (32) 
 A
 
->  <chain>  (27) 
+>  <chain>  (32) 
 A
 
->  <atom.prop.subpocket>  (27) 
+>  <atom.prop.subpocket>  (32) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (27) 
+>  <atom.prop.environment>  (32) 
 16 16 16 16 16 16 16 16 16 16 5 5 5 5 5 5 5 5 5 na
 
 $$$$
@@ -1959,7 +2325,7 @@ $$$$
    -2.9751   11.5370   47.6969 H   0  0  0  0  0  0  0  0  0  0  0  0
    -2.0168   10.8744   46.3511 H   0  0  0  0  0  0  0  0  0  0  0  0
    -3.3193    9.9037   47.0787 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.7443   12.8401   46.2512 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.7443   12.8401   46.2512 S   0  0  0  0  0  6  0  0  0  0  0  0
    -3.9628   11.4756   45.8467 N   0  0  0  0  0  0  0  0  0  0  0  0
    -4.1806   10.8036   44.5603 C   0  0  0  0  0  0  0  0  0  0  0  0
    -3.5547    9.9130   44.5050 H   0  0  0  0  0  0  0  0  0  0  0  0
@@ -2000,35 +2366,35 @@ $$$$
  17 19  2  0
  19 20  1  0
  19 21  1  0
- 12 23  1  0
+ 23 12  1  0
 V   23 *
 M  END
->  <kinase>  (28) 
+>  <kinase>  (33) 
 CDK2
 
->  <family>  (28) 
+>  <family>  (33) 
 CDK
 
->  <group>  (28) 
+>  <group>  (33) 
 CMGC
 
->  <complex_pdb>  (28) 
+>  <complex_pdb>  (33) 
 1y91
 
->  <ligand_pdb>  (28) 
+>  <ligand_pdb>  (33) 
 CT9
 
->  <alt>  (28) 
+>  <alt>  (33) 
  
 
->  <chain>  (28) 
+>  <chain>  (33) 
 A
 
->  <atom.prop.subpocket>  (28) 
+>  <atom.prop.subpocket>  (33) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (28) 
-5 5 5 5 16 5 5 5 5 5 16 16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (33) 
+5 5 5 5 12 5 5 5 5 5 12 16 12 12 12 12 12 12 12 12 12 12 na
 
 $$$$
 2a0c_altB_chainX
@@ -2069,32 +2435,32 @@ $$$$
  13 16  1  0
 V   16 *
 M  END
->  <kinase>  (29) 
+>  <kinase>  (34) 
 CDK2
 
->  <family>  (29) 
+>  <family>  (34) 
 CDK
 
->  <group>  (29) 
+>  <group>  (34) 
 CMGC
 
->  <complex_pdb>  (29) 
+>  <complex_pdb>  (34) 
 2a0c
 
->  <ligand_pdb>  (29) 
+>  <ligand_pdb>  (34) 
 CK9
 
->  <alt>  (29) 
+>  <alt>  (34) 
 B
 
->  <chain>  (29) 
+>  <chain>  (34) 
 X
 
->  <atom.prop.subpocket>  (29) 
+>  <atom.prop.subpocket>  (34) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (29) 
-3 3 16 16 16 16 16 16 16 16 16 16 8 8 8 na
+>  <atom.prop.environment>  (34) 
+3 3 16 16 16 16 16 16 16 16 16 16 4 4 4 na
 
 $$$$
 2b52_chainA
@@ -2128,34 +2494,34 @@ $$$$
  10 11  1  0
  10 12  1  0
  10 13  1  0
-  1 14  1  0
+ 14  1  1  0
 V   14 *
 M  END
->  <kinase>  (30) 
+>  <kinase>  (35) 
 CDK2
 
->  <family>  (30) 
+>  <family>  (35) 
 CDK
 
->  <group>  (30) 
+>  <group>  (35) 
 CMGC
 
->  <complex_pdb>  (30) 
+>  <complex_pdb>  (35) 
 2b52
 
->  <ligand_pdb>  (30) 
+>  <ligand_pdb>  (35) 
 D42
 
->  <alt>  (30) 
+>  <alt>  (35) 
  
 
->  <chain>  (30) 
+>  <chain>  (35) 
 A
 
->  <atom.prop.subpocket>  (30) 
+>  <atom.prop.subpocket>  (35) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (30) 
+>  <atom.prop.environment>  (35) 
 14 14 14 14 14 8 8 8 8 8 8 8 8 na
 
 $$$$
@@ -2178,7 +2544,7 @@ $$$$
    -2.9954   14.6110   43.9195 C   0  0  0  0  0  0  0  0  0  0  0  0
    -3.8463   14.4521   43.2570 H   0  0  0  0  0  0  0  0  0  0  0  0
    -2.2071   13.8989   43.6756 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.1883   12.9149   45.5425 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.1883   12.9149   45.5425 S   0  0  0  0  0  6  0  0  0  0  0  0
    -3.1287   11.5132   45.0389 C   0  0  0  0  0  0  0  0  0  0  0  0
    -2.8490   11.6272   43.9916 H   0  0  0  0  0  0  0  0  0  0  0  0
    -3.6753   10.5793   45.1694 H   0  0  0  0  0  0  0  0  0  0  0  0
@@ -2211,32 +2577,172 @@ $$$$
   8 23  1  0
 V   23 *
 M  END
->  <kinase>  (31) 
+>  <kinase>  (36) 
 CDK2
 
->  <family>  (31) 
+>  <family>  (36) 
 CDK
 
->  <group>  (31) 
+>  <group>  (36) 
 CMGC
 
->  <complex_pdb>  (31) 
+>  <complex_pdb>  (36) 
 2fvd
 
->  <ligand_pdb>  (31) 
+>  <ligand_pdb>  (36) 
 LIA
 
->  <alt>  (31) 
+>  <alt>  (36) 
  
 
->  <chain>  (31) 
+>  <chain>  (36) 
 A
 
->  <atom.prop.subpocket>  (31) 
+>  <atom.prop.subpocket>  (36) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (31) 
-15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 12 12 12 12 12 12 12 na
+>  <atom.prop.environment>  (36) 
+5 5 5 5 5 5 5 15 5 5 5 5 5 5 5 12 12 12 12 12 12 12 na
+
+$$$$
+2r3m_altA_chainA
+     RDKit          3D
+
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+   -3.2956   16.4677   43.7687 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5713   15.9588   42.8450 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.1375   17.0644   44.1199 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9546   15.4557   44.7977 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9278   14.1133   44.5084 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1903   13.8016   43.5082 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5925   13.1649   45.4024 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2527   13.5946   46.6311 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2400   14.8788   47.0231 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5734   15.7841   46.0940 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5446   16.8285   46.3672 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8928   12.6603   47.5427 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6284   12.9411   48.4762 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8886   11.6827   47.2892 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1690   17.3418   43.5109 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  4  5  2  0
+  4 10  1  0
+  5  6  1  0
+  5  7  1  0
+  7  8  2  0
+  8  9  1  0
+  8 12  1  0
+  9 10  2  0
+ 10 11  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 15  1  1  0
+V   15 *
+M  END
+>  <kinase>  (37) 
+CDK2
+
+>  <family>  (37) 
+CDK
+
+>  <group>  (37) 
+CMGC
+
+>  <complex_pdb>  (37) 
+2r3m
+
+>  <ligand_pdb>  (37) 
+SCX
+
+>  <alt>  (37) 
+A
+
+>  <chain>  (37) 
+A
+
+>  <atom.prop.subpocket>  (37) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (37) 
+4 4 4 16 14 14 14 14 14 14 14 5 5 5 na
+
+$$$$
+3s2p_chainA
+     RDKit          3D
+
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+   -4.1256   12.8269   44.5774 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8257   12.1789   45.4010 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6116   12.1871   43.2724 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8952   12.8116   42.4253 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.0504   11.1961   43.1562 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5257   12.1011   43.3130 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0994   16.0836   44.1292 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4668   16.6378   45.3721 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2891   15.9829   46.2217 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.6609   12.9334   44.5688 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.9757   13.5793   43.7491 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -6.0012   13.3547   45.5147 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -6.0932   11.9416   44.4364 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8231   14.7808   45.9796 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5078   14.1967   44.7981 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6470   14.8180   43.8442 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4177   14.3221   42.9125 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6145   16.5124   47.3887 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.2240   16.0106   48.0186 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2536   17.4187   47.6502 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1617   16.7916   43.1575 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1 10  1  0
+  1 15  1  0
+  3  4  1  0
+  3  5  1  0
+  3  6  1  0
+  7  8  2  0
+  7 16  1  0
+  8  9  1  0
+  9 14  2  0
+  9 18  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 14 15  1  0
+ 15 16  2  0
+ 16 17  1  0
+ 18 19  1  0
+ 18 20  1  0
+ 21  7  1  0
+V   21 *
+M  END
+>  <kinase>  (38) 
+CDK2
+
+>  <family>  (38) 
+CDK
+
+>  <group>  (38) 
+CMGC
+
+>  <complex_pdb>  (38) 
+3s2p
+
+>  <ligand_pdb>  (38) 
+PMU
+
+>  <alt>  (38) 
+ 
+
+>  <chain>  (38) 
+A
+
+>  <atom.prop.subpocket>  (38) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (38) 
+8 8 8 8 8 8 14 14 14 8 8 8 8 14 14 14 14 5 5 5 na
 
 $$$$
 4acm_altB_chainA
@@ -2251,7 +2757,7 @@ $$$$
    -2.1413   12.3646   46.8293 H   0  0  0  0  0  0  0  0  0  0  0  0
    -3.6522   11.7782   45.4961 N   0  0  0  0  0  0  0  0  0  0  0  0
    -4.1881   11.0340   45.9194 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.4963   13.1369   45.7150 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.4963   13.1369   45.7150 S   0  0  0  0  0  6  0  0  0  0  0  0
    -4.6705   13.2990   47.1258 O   0  0  0  0  0  0  0  0  0  0  0  0
    -5.6509   13.0407   44.8725 O   0  0  0  0  0  0  0  0  0  0  0  0
    -3.5194   14.4717   45.1129 C   0  0  0  0  0  0  0  0  0  0  0  0
@@ -2287,37 +2793,114 @@ $$$$
  18 19  1  0
  18 20  2  0
  20 21  1  0
-  1 22  1  0
+ 22  1  1  0
  17 23  1  0
 V   22 *
 V   23 *
 M  END
->  <kinase>  (32) 
+>  <kinase>  (39) 
 CDK2
 
->  <family>  (32) 
+>  <family>  (39) 
 CDK
 
->  <group>  (32) 
+>  <group>  (39) 
 CMGC
 
->  <complex_pdb>  (32) 
+>  <complex_pdb>  (39) 
 4acm
 
->  <ligand_pdb>  (32) 
+>  <ligand_pdb>  (39) 
 7YG
 
->  <alt>  (32) 
+>  <alt>  (39) 
 B
 
->  <chain>  (32) 
+>  <chain>  (39) 
 A
 
->  <atom.prop.subpocket>  (32) 
+>  <atom.prop.subpocket>  (39) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE X-SE AP
 
->  <atom.prop.environment>  (32) 
-4 4 4 4 4 4 5 5 16 16 16 16 16 16 16 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (39) 
+4 4 4 4 4 4 5 5 12 12 12 12 12 12 12 12 16 12 12 12 12 na na
+
+$$$$
+4bzd_altA_chainA
+     RDKit          3D
+
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+   -2.7249   15.1344   45.5137 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2638   14.7673   46.3746 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4587   16.4795   45.3780 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7785   17.1832   46.1323 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6397   14.7707   43.4297 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3337   14.0879   42.6508 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2943   14.2641   44.5363 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7688   16.9134   44.2484 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0183   10.6274   44.3387 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0070   10.2084   44.1518 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2639   10.0101   43.8511 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7629   10.6055   45.8332 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6930   10.3427   46.3372 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4508   11.6027   46.1435 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9649   12.0060   43.7393 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5231   12.0233   42.8032 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9287   12.2860   43.5495 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3693   16.0758   43.2841 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5517   12.9217   44.6706 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7337    9.6534   46.2400 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4733   18.2572   44.1209 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  7  1  0
+  3  4  1  0
+  3  8  1  0
+  5  6  1  0
+  5  7  2  0
+  5 18  1  0
+  7 19  1  0
+  8 18  2  0
+  9 10  1  0
+  9 11  1  0
+  9 12  1  0
+  9 15  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 19  1  0
+ 12 20  1  0
+  8 21  1  0
+V   20 *
+V   21 *
+M  END
+>  <kinase>  (40) 
+CDK2
+
+>  <family>  (40) 
+CDK
+
+>  <group>  (40) 
+CMGC
+
+>  <complex_pdb>  (40) 
+4bzd
+
+>  <ligand_pdb>  (40) 
+D6I
+
+>  <alt>  (40) 
+A
+
+>  <chain>  (40) 
+A
+
+>  <atom.prop.subpocket>  (40) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE X-SE AP
+
+>  <atom.prop.environment>  (40) 
+16 16 16 16 16 16 16 14 4 4 4 4 4 4 4 4 4 16 3 na na
 
 $$$$
 4ek4_altB_chainA
@@ -2347,34 +2930,34 @@ $$$$
   6 11  1  0
   8  9  1  0
   8 11  2  0
- 11 12  1  0
+ 12 11  1  0
 V   12 *
 M  END
->  <kinase>  (33) 
+>  <kinase>  (41) 
 CDK2
 
->  <family>  (33) 
+>  <family>  (41) 
 CDK
 
->  <group>  (33) 
+>  <group>  (41) 
 CMGC
 
->  <complex_pdb>  (33) 
+>  <complex_pdb>  (41) 
 4ek4
 
->  <ligand_pdb>  (33) 
+>  <ligand_pdb>  (41) 
 1CK
 
->  <alt>  (33) 
+>  <alt>  (41) 
 B
 
->  <chain>  (33) 
+>  <chain>  (41) 
 A
 
->  <atom.prop.subpocket>  (33) 
+>  <atom.prop.subpocket>  (41) 
 SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (33) 
+>  <atom.prop.environment>  (41) 
 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -2421,34 +3004,34 @@ $$$$
  13 16  1  0
  17 18  2  0
  18 19  1  0
-  3 20  1  0
+ 20  3  1  0
 V   20 *
 M  END
->  <kinase>  (34) 
+>  <kinase>  (42) 
 CDK2
 
->  <family>  (34) 
+>  <family>  (42) 
 CDK
 
->  <group>  (34) 
+>  <group>  (42) 
 CMGC
 
->  <complex_pdb>  (34) 
+>  <complex_pdb>  (42) 
 4fko
 
->  <ligand_pdb>  (34) 
+>  <ligand_pdb>  (42) 
 20K
 
->  <alt>  (34) 
+>  <alt>  (42) 
 A
 
->  <chain>  (34) 
+>  <chain>  (42) 
 A
 
->  <atom.prop.subpocket>  (34) 
+>  <atom.prop.subpocket>  (42) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (34) 
+>  <atom.prop.environment>  (42) 
 16 5 16 16 16 16 16 16 5 5 5 5 5 5 5 5 16 16 16 na
 
 $$$$
@@ -2496,32 +3079,339 @@ $$$$
   1 19  1  0
 V   19 *
 M  END
->  <kinase>  (35) 
+>  <kinase>  (43) 
 CDK2
 
->  <family>  (35) 
+>  <family>  (43) 
 CDK
 
->  <group>  (35) 
+>  <group>  (43) 
 CMGC
 
->  <complex_pdb>  (35) 
+>  <complex_pdb>  (43) 
 6inl
 
->  <ligand_pdb>  (35) 
+>  <ligand_pdb>  (43) 
 AJR
 
->  <alt>  (35) 
+>  <alt>  (43) 
  
 
->  <chain>  (35) 
+>  <chain>  (43) 
 A
 
->  <atom.prop.subpocket>  (35) 
+>  <atom.prop.subpocket>  (43) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (35) 
-8 8 8 16 16 16 3 3 3 3 16 16 16 16 16 3 16 16 na
+>  <atom.prop.environment>  (43) 
+4 4 4 16 16 16 3 3 3 3 16 16 16 16 16 3 16 16 na
+
+$$$$
+6jgm_chainA
+     RDKit          3D
+
+ 28 28  0  0  0  0  0  0  0  0999 V2000
+   -4.8645    9.2658   45.6395 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.2623    8.4827   46.2849 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.3028    8.8128   44.8226 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.6869    9.8541   45.2326 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2539   10.1952   43.7296 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2771    9.9771   43.2978 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8298   10.8069   43.0351 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7846    9.2619   43.9178 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3371   15.1370   43.6665 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8299   15.2846   42.7245 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1085   15.9894   45.7977 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2058   16.7998   46.5049 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8774   13.9069   43.9635 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8057   13.1001   43.2490 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6447   14.7375   46.0946 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.1584   14.5747   47.0305 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.9465   10.1686   46.4458 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1290    9.5736   46.8529 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.5131   10.6148   47.2630 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0742   10.9430   45.0291 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5438   11.8766   44.8414 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4986   10.3316   45.7241 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.1103   12.3557   45.4176 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4378   16.1987   44.5721 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5144   13.7006   45.1794 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3918   11.2356   45.6087 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.3416   12.3564   45.3872 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8925   17.4138   44.3405 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1 17  1  0
+  5  6  1  0
+  5  7  1  0
+  5  8  1  0
+  5 20  1  0
+  9 10  1  0
+  9 13  2  0
+  9 24  1  0
+ 11 12  1  0
+ 11 15  1  0
+ 11 24  2  0
+ 13 14  1  0
+ 13 25  1  0
+ 15 16  1  0
+ 15 25  2  0
+ 17 18  1  0
+ 17 19  1  0
+ 17 26  1  0
+ 20 21  1  0
+ 20 22  1  0
+ 20 26  1  0
+ 23 25  1  0
+ 23 26  1  0
+ 23 27  2  0
+ 28 24  1  0
+V   28 *
+M  END
+>  <kinase>  (44) 
+CDK2
+
+>  <family>  (44) 
+CDK
+
+>  <group>  (44) 
+CMGC
+
+>  <complex_pdb>  (44) 
+6jgm
+
+>  <ligand_pdb>  (44) 
+AQG
+
+>  <alt>  (44) 
+ 
+
+>  <chain>  (44) 
+A
+
+>  <atom.prop.subpocket>  (44) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (44) 
+4 4 4 4 4 4 4 4 16 16 16 16 16 16 16 16 4 4 4 4 4 4 1 16 16 5 1 na
+
+$$$$
+7zpc_altA_chainA
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+   -3.7282   14.2998   45.6938 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9053   15.7706   45.1030 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4740   15.6226   46.4349 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5744   16.1192   46.7674 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2190   14.8211   47.3447 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3028   14.1753   46.9649 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.8020   13.7812   45.0219 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.5607   13.1280   45.4271 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.7285   14.2552   43.7220 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.4432   14.0152   42.9487 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6683   15.0436   43.5416 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0469   15.0836   44.7540 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2327   16.5657   44.0253 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8046   14.5683   48.7481 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  6  1  0
+  1  7  2  0
+  1 12  1  0
+  2  3  2  0
+  2 12  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  2  0
+  7  8  1  0
+  7  9  1  0
+  9 10  1  0
+  9 11  2  0
+ 11 12  1  0
+ 13  2  1  0
+  5 14  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (45) 
+CDK2
+
+>  <family>  (45) 
+CDK
+
+>  <group>  (45) 
+CMGC
+
+>  <complex_pdb>  (45) 
+7zpc
+
+>  <ligand_pdb>  (45) 
+JLC
+
+>  <alt>  (45) 
+A
+
+>  <chain>  (45) 
+A
+
+>  <atom.prop.subpocket>  (45) 
+SE SE SE SE SE SE SE SE SE SE SE SE AP X-SE
+
+>  <atom.prop.environment>  (45) 
+14 14 14 14 14 14 14 14 14 14 14 14 na na
+
+$$$$
+8ern_altB_chainA
+     RDKit          3D
+
+ 23 23  0  0  0  0  0  0  0  0999 V2000
+   -5.7082   12.7067   44.3756 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6440   15.9636   46.1189 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5735   15.8811   43.6935 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2859   16.3297   42.7541 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2796   16.5395   44.8891 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2267   14.6647   43.6952 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.4441   14.1592   42.7659 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5980   14.1033   44.8997 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3198   14.7463   46.0996 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6319   14.2956   47.0301 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6122   11.5656   43.8851 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.2364   10.8029   43.6644 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2714   16.5995   47.4358 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7523   17.5400   47.2511 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6182   15.9271   47.9920 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1745   16.7906   48.0154 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3445   10.9745   44.2889 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6374   11.7660   44.5374 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9460   10.3751   43.4704 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5009   10.3400   45.1612 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.2418   11.9650   46.2203 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.3939   12.5319   44.9150 S   0  0  0  0  0  6  0  0  0  0  0  0
+   -1.7750   17.8415   44.8095 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1 22  2  0
+  2  5  2  0
+  2  9  1  0
+  2 13  1  0
+  3  4  1  0
+  3  5  1  0
+  3  6  2  0
+  6  7  1  0
+  6  8  1  0
+  8  9  2  0
+  8 22  1  0
+  9 10  1  0
+ 11 12  1  0
+ 11 17  1  0
+ 11 22  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 16  1  0
+ 17 18  1  0
+ 17 19  1  0
+ 17 20  1  0
+ 21 22  2  0
+  5 23  1  0
+V   23 *
+M  END
+>  <kinase>  (46) 
+CDK2
+
+>  <family>  (46) 
+CDK
+
+>  <group>  (46) 
+CMGC
+
+>  <complex_pdb>  (46) 
+8ern
+
+>  <ligand_pdb>  (46) 
+WQK
+
+>  <alt>  (46) 
+B
+
+>  <chain>  (46) 
+A
+
+>  <atom.prop.subpocket>  (46) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (46) 
+12 16 12 12 16 12 12 12 12 12 5 5 8 8 8 8 5 5 5 5 12 12 na
+
+$$$$
+8p4z_altA_chainA
+     RDKit          3D
+
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -1.9076   15.4243   45.7383 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4703   15.7253   44.5011 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3756   16.7245   44.1023 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1495   14.7622   43.7745 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5721   15.0126   42.8127 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2882   13.4868   44.2734 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8224   12.7414   43.7030 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7457   13.1557   45.5030 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8496   12.1535   45.8919 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0650   14.1255   46.2347 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5973   13.7838   47.5387 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4687   13.1020   47.8657 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2680   12.7097   47.1803 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4449   13.0083   49.2277 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3060   12.5319   49.8406 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5991   13.6602   49.6552 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8815   13.7644   50.6924 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3130   14.1391   48.6431 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0946   16.4542   46.4928 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 10  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6  8  1  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 11 12  1  0
+ 11 18  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 14 16  1  0
+ 16 17  1  0
+ 16 18  2  0
+ 19  1  1  0
+V   19 *
+M  END
+>  <kinase>  (47) 
+CDK7
+
+>  <family>  (47) 
+CDK
+
+>  <group>  (47) 
+CMGC
+
+>  <complex_pdb>  (47) 
+8p4z
+
+>  <ligand_pdb>  (47) 
+WZ8
+
+>  <alt>  (47) 
+A
+
+>  <chain>  (47) 
+A
+
+>  <atom.prop.subpocket>  (47) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (47) 
+16 16 16 16 16 16 16 16 16 16 9 9 9 9 9 9 9 9 na
 
 $$$$
 2e9p_chainA
@@ -2559,34 +3449,34 @@ $$$$
  11 12  1  0
  11 13  1  0
  11 14  1  0
-  1 16  1  0
+ 16  1  1  0
 V   16 *
 M  END
->  <kinase>  (36) 
+>  <kinase>  (48) 
 CHK1
 
->  <family>  (36) 
+>  <family>  (48) 
 CAMKL
 
->  <group>  (36) 
+>  <group>  (48) 
 CAMK
 
->  <complex_pdb>  (36) 
+>  <complex_pdb>  (48) 
 2e9p
 
->  <ligand_pdb>  (36) 
+>  <ligand_pdb>  (48) 
 77A
 
->  <alt>  (36) 
+>  <alt>  (48) 
  
 
->  <chain>  (36) 
+>  <chain>  (48) 
 A
 
->  <atom.prop.subpocket>  (36) 
+>  <atom.prop.subpocket>  (48) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (36) 
+>  <atom.prop.environment>  (48) 
 16 16 16 16 16 16 16 16 16 3 3 3 3 3 16 na
 
 $$$$
@@ -2629,31 +3519,31 @@ $$$$
  15 16  1  0
 V   16 *
 M  END
->  <kinase>  (37) 
+>  <kinase>  (49) 
 CHK1
 
->  <family>  (37) 
+>  <family>  (49) 
 CAMKL
 
->  <group>  (37) 
+>  <group>  (49) 
 CAMK
 
->  <complex_pdb>  (37) 
+>  <complex_pdb>  (49) 
 2xey
 
->  <ligand_pdb>  (37) 
+>  <ligand_pdb>  (49) 
 YVQ
 
->  <alt>  (37) 
+>  <alt>  (49) 
  
 
->  <chain>  (37) 
+>  <chain>  (49) 
 A
 
->  <atom.prop.subpocket>  (37) 
+>  <atom.prop.subpocket>  (49) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (37) 
+>  <atom.prop.environment>  (49) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -2700,119 +3590,36 @@ $$$$
  15 16  1  0
  15 17  1  0
  15 18  1  0
-  1 20  1  0
+ 20  1  1  0
 V   20 *
 M  END
->  <kinase>  (38) 
+>  <kinase>  (50) 
 CHK1
 
->  <family>  (38) 
+>  <family>  (50) 
 CAMKL
 
->  <group>  (38) 
+>  <group>  (50) 
 CAMK
 
->  <complex_pdb>  (38) 
+>  <complex_pdb>  (50) 
 2ywp
 
->  <ligand_pdb>  (38) 
+>  <ligand_pdb>  (50) 
 A42
 
->  <alt>  (38) 
+>  <alt>  (50) 
  
 
->  <chain>  (38) 
+>  <chain>  (50) 
 A
 
->  <atom.prop.subpocket>  (38) 
+>  <atom.prop.subpocket>  (50) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (38) 
+>  <atom.prop.environment>  (50) 
 16 16 16 16 16 16 16 16 3 3 3 3 3 3 3 3 3 3 16 na
 
-$$$$
-3tki_chainA
-     RDKit          3D
-
- 24 25  0  0  0  0  0  0  0  0999 V2000
-   -2.8615   13.1446   47.8389 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.4887   12.5893   46.9782 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.8414   12.7604   48.1224 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.9734   14.5638   47.4945 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.2948   13.8642   50.0594 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8990   12.9850   49.0008 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8893   13.2359   48.6758 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9211   11.9542   49.3546 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1478   15.2352   49.6723 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1348   15.4065   49.3082 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3396   15.8804   50.5297 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.1458   15.5426   48.5687 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.1600   15.4794   48.9632 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.9681   16.5462   48.1825 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5991   14.0843   45.5243 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6436   13.0251   45.7304 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9300   14.5566   44.4173 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4546   13.8341   43.7705 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8288   15.8482   44.0888 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4026   16.7389   44.9059 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1066   16.3318   46.0238 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.5851   17.0748   46.6447 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.2130   14.9928   46.3671 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3615   18.1238   44.6871 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  4  1  0
-  1  6  1  0
-  4 12  1  0
-  4 23  1  0
-  5  6  1  0
-  5  9  1  0
-  6  7  1  0
-  6  8  1  0
-  9 10  1  0
-  9 11  1  0
-  9 12  1  0
- 12 13  1  0
- 12 14  1  0
- 15 16  1  0
- 15 17  2  0
- 15 23  1  0
- 17 18  1  0
- 17 19  1  0
- 19 20  2  0
- 20 21  1  0
- 21 22  1  0
- 21 23  2  0
- 20 24  1  0
-V   24 *
-M  END
->  <kinase>  (39) 
-CHK1
-
->  <family>  (39) 
-CAMKL
-
->  <group>  (39) 
-CAMK
-
->  <complex_pdb>  (39) 
-3tki
-
->  <ligand_pdb>  (39) 
-S25
-
->  <alt>  (39) 
- 
-
->  <chain>  (39) 
-A
-
->  <atom.prop.subpocket>  (39) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
-
->  <atom.prop.environment>  (39) 
-5 5 5 5 5 5 5 5 5 5 5 5 5 5 16 16 16 16 16 16 16 16 16 na
-
 $$$$
 3u9n_chainA
      RDKit          3D
@@ -2852,104 +3659,108 @@ $$$$
  11 14  1  0
  14 15  1  0
  14 16  1  0
-  1 17  1  0
+ 17  1  1  0
 V   17 *
 M  END
->  <kinase>  (40) 
+>  <kinase>  (51) 
 CHK1
 
->  <family>  (40) 
+>  <family>  (51) 
 CAMKL
 
->  <group>  (40) 
+>  <group>  (51) 
 CAMK
 
->  <complex_pdb>  (40) 
+>  <complex_pdb>  (51) 
 3u9n
 
->  <ligand_pdb>  (40) 
+>  <ligand_pdb>  (51) 
 09H
 
->  <alt>  (40) 
+>  <alt>  (51) 
  
 
->  <chain>  (40) 
+>  <chain>  (51) 
 A
 
->  <atom.prop.subpocket>  (40) 
+>  <atom.prop.subpocket>  (51) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (40) 
+>  <atom.prop.environment>  (51) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-4ft9_altA_chainA
+4ftc_altA_chainA
      RDKit          3D
 
- 17 18  0  0  0  0  0  0  0  0999 V2000
-   -0.6551   17.3196   44.0795 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4637   16.1107   43.5314 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9298   15.0136   44.0873 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.7512   14.0639   43.6049 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6605   15.0429   45.3029 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9112   16.3015   45.9081 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3953   17.4740   45.2964 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5552   18.4487   45.7332 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1682   13.8762   45.9307 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9737   12.9083   45.4930 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.9005   13.9607   47.0826 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.2830   13.0609   47.5413 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.1548   15.1879   47.6641 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.7382   15.2392   48.5716 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6741   16.3398   47.1007 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.8794   17.2897   47.5719 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.1263   18.3760   43.3181 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -0.6138   17.2552   44.0050 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4874   16.0047   43.5701 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1593   15.2738   44.5085 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2645   14.2702   44.4643 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6680   16.0348   45.5018 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3374   17.3320   45.1964 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5843   18.2212   45.7576 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3807   15.4679   46.6646 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3704   14.0976   46.9159 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7972   13.4398   46.2795 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0916   13.5727   47.9784 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0955   12.5066   48.1506 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8036   14.4057   48.8157 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.3696   13.9927   49.6376 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.7904   15.7671   48.6003 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.3279   16.4222   49.2698 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0899   16.3002   47.5274 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0947   17.3672   47.3604 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0799   18.2532   43.1879 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
-  1  7  1  0
+  1  6  1  0
   2  3  1  0
   3  4  1  0
-  3  5  2  0
-  5  6  1  0
-  5  9  1  0
-  6  7  2  0
-  6 15  1  0
-  7  8  1  0
+  3  5  1  0
+  5  6  2  0
+  5  8  1  0
+  6  7  1  0
+  8  9  2  0
+  8 17  1  0
   9 10  1  0
-  9 11  2  0
+  9 11  1  0
  11 12  1  0
- 11 13  1  0
+ 11 13  2  0
  13 14  1  0
- 13 15  2  0
+ 13 15  1  0
  15 16  1  0
-  1 17  1  0
-V   17 *
+ 15 17  2  0
+ 17 18  1  0
+ 19  1  1  0
+V   19 *
 M  END
->  <kinase>  (41) 
+>  <kinase>  (52) 
 CHK1
 
->  <family>  (41) 
+>  <family>  (52) 
 CAMKL
 
->  <group>  (41) 
+>  <group>  (52) 
 CAMK
 
->  <complex_pdb>  (41) 
-4ft9
+>  <complex_pdb>  (52) 
+4ftc
 
->  <ligand_pdb>  (41) 
-H4K
+>  <ligand_pdb>  (52) 
+H6K
 
->  <alt>  (41) 
+>  <alt>  (52) 
 A
 
->  <chain>  (41) 
+>  <chain>  (52) 
 A
 
->  <atom.prop.subpocket>  (41) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+>  <atom.prop.subpocket>  (52) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (41) 
-14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+>  <atom.prop.environment>  (52) 
+14 14 14 14 14 14 14 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 4rvk_chainA
@@ -2993,34 +3804,34 @@ $$$$
  15 16  1  0
  15 17  2  0
  17 18  1  0
-  1 19  1  0
+ 19  1  1  0
 V   19 *
 M  END
->  <kinase>  (42) 
+>  <kinase>  (53) 
 CHK1
 
->  <family>  (42) 
+>  <family>  (53) 
 CAMKL
 
->  <group>  (42) 
+>  <group>  (53) 
 CAMK
 
->  <complex_pdb>  (42) 
+>  <complex_pdb>  (53) 
 4rvk
 
->  <ligand_pdb>  (42) 
+>  <ligand_pdb>  (53) 
 3XK
 
->  <alt>  (42) 
+>  <alt>  (53) 
  
 
->  <chain>  (42) 
+>  <chain>  (53) 
 A
 
->  <atom.prop.subpocket>  (42) 
+>  <atom.prop.subpocket>  (53) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (42) 
+>  <atom.prop.environment>  (53) 
 16 16 16 16 5 5 1 1 1 1 1 1 16 16 16 16 16 16 na
 
 $$$$
@@ -3064,31 +3875,31 @@ $$$$
   9 17  1  0
 V   17 *
 M  END
->  <kinase>  (43) 
+>  <kinase>  (54) 
 CHK2
 
->  <family>  (43) 
+>  <family>  (54) 
 RAD53
 
->  <group>  (43) 
+>  <group>  (54) 
 CAMK
 
->  <complex_pdb>  (43) 
+>  <complex_pdb>  (54) 
 2wtc
 
->  <ligand_pdb>  (43) 
+>  <ligand_pdb>  (54) 
 VGM
 
->  <alt>  (43) 
+>  <alt>  (54) 
  
 
->  <chain>  (43) 
+>  <chain>  (54) 
 A
 
->  <atom.prop.subpocket>  (43) 
+>  <atom.prop.subpocket>  (54) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (43) 
+>  <atom.prop.environment>  (54) 
 3 3 3 3 3 16 16 16 16 16 16 16 16 16 3 3 na
 
 $$$$
@@ -3126,34 +3937,34 @@ $$$$
  10 12  1  0
  10 13  1  0
  13 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
->  <kinase>  (44) 
+>  <kinase>  (55) 
 CHK2
 
->  <family>  (44) 
+>  <family>  (55) 
 RAD53
 
->  <group>  (44) 
+>  <group>  (55) 
 CAMK
 
->  <complex_pdb>  (44) 
+>  <complex_pdb>  (55) 
 2wtd
 
->  <ligand_pdb>  (44) 
+>  <ligand_pdb>  (55) 
 ZZK
 
->  <alt>  (44) 
+>  <alt>  (55) 
  
 
->  <chain>  (44) 
+>  <chain>  (55) 
 A
 
->  <atom.prop.subpocket>  (44) 
+>  <atom.prop.subpocket>  (55) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (44) 
+>  <atom.prop.environment>  (55) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -3191,34 +4002,34 @@ $$$$
  10 12  1  0
  10 13  1  0
  13 14  1  0
-  1 15  1  0
+ 15  1  1  0
 V   15 *
 M  END
->  <kinase>  (45) 
+>  <kinase>  (56) 
 CHK2
 
->  <family>  (45) 
+>  <family>  (56) 
 RAD53
 
->  <group>  (45) 
+>  <group>  (56) 
 CAMK
 
->  <complex_pdb>  (45) 
+>  <complex_pdb>  (56) 
 2wti
 
->  <ligand_pdb>  (45) 
+>  <ligand_pdb>  (56) 
 WTI
 
->  <alt>  (45) 
+>  <alt>  (56) 
 B
 
->  <chain>  (45) 
+>  <chain>  (56) 
 A
 
->  <atom.prop.subpocket>  (45) 
+>  <atom.prop.subpocket>  (56) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (45) 
+>  <atom.prop.environment>  (56) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
@@ -3273,34 +4084,34 @@ $$$$
  20 21  1  0
  20 22  1  0
  20 23  1  0
-  6 24  1  0
+ 24  6  1  0
 V   24 *
 M  END
->  <kinase>  (46) 
+>  <kinase>  (57) 
 CK1g3
 
->  <family>  (46) 
+>  <family>  (57) 
 CK1
 
->  <group>  (46) 
+>  <group>  (57) 
 CK1
 
->  <complex_pdb>  (46) 
+>  <complex_pdb>  (57) 
 4g17
 
->  <ligand_pdb>  (46) 
+>  <ligand_pdb>  (57) 
 0VN
 
->  <alt>  (46) 
+>  <alt>  (57) 
  
 
->  <chain>  (46) 
+>  <chain>  (57) 
 A
 
->  <atom.prop.subpocket>  (46) 
+>  <atom.prop.subpocket>  (57) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (46) 
+>  <atom.prop.environment>  (57) 
 16 16 16 16 16 16 16 16 16 16 8 8 8 8 8 8 8 8 8 8 8 8 8 na
 
 $$$$
@@ -3342,48 +4153,126 @@ $$$$
  13 15  2  0
  14 15  1  0
  15 16  1  0
- 13 17  1  0
+ 17 13  1  0
 V   17 *
 M  END
->  <kinase>  (47) 
+>  <kinase>  (58) 
 CK1g3
 
->  <family>  (47) 
+>  <family>  (58) 
 CK1
 
->  <group>  (47) 
+>  <group>  (58) 
 CK1
 
->  <complex_pdb>  (47) 
+>  <complex_pdb>  (58) 
 4hgl
 
->  <ligand_pdb>  (47) 
+>  <ligand_pdb>  (58) 
 0YO
 
->  <alt>  (47) 
+>  <alt>  (58) 
  
 
->  <chain>  (47) 
+>  <chain>  (58) 
 A
 
->  <atom.prop.subpocket>  (47) 
+>  <atom.prop.subpocket>  (58) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (47) 
+>  <atom.prop.environment>  (58) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
-4grb_chainA
+3wil_chainA
      RDKit          3D
 
  22 22  0  0  0  0  0  0  0  0999 V2000
-   -1.9023   13.0806   50.3915 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0545   12.8181   51.0243 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6927   12.3407   50.5178 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.2766   14.0642   50.6751 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3856   12.2448   48.6640 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2532   12.0974   49.5349 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.1933   12.7034   47.8623 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9890   14.5114   49.5903 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4970   14.4784   50.5542 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1478   15.2023   49.6464 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6251   13.5157   49.3371 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9187   14.9620   48.5680 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3548   15.0324   47.3140 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9927   16.2793   46.7650 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1523   17.1727   47.3505 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1440   13.8735   46.5428 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5048   12.6424   47.0275 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.9219   12.4008   46.8103 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.1873   11.4189   47.2021 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.1369   12.4361   45.7423 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.5038   13.1663   47.3236 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5693   13.9919   45.2637 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3957   13.1000   44.6799 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2155   15.2427   44.7267 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7814   15.3075   43.7399 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4294   16.4008   45.4783 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1074   17.6886   45.0229 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4604   18.5001   45.6419 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3900   18.0737   43.8742 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  6  7  2  0
+  6  9  1  0
+  7  8  1  0
+  7 19  1  0
+  9 10  1  0
+  9 15  2  0
+ 10 11  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 17 18  1  0
+ 17 19  2  0
+ 19 20  1  0
+ 20 21  1  0
+ 20 22  2  0
+V   22 *
+M  END
+>  <kinase>  (59) 
+CK2a1
+
+>  <family>  (59) 
+CK2
+
+>  <group>  (59) 
+CMGC
+
+>  <complex_pdb>  (59) 
+3wil
+
+>  <ligand_pdb>  (59) 
+LCD
+
+>  <alt>  (59) 
+ 
+
+>  <chain>  (59) 
+A
+
+>  <atom.prop.subpocket>  (59) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (59) 
+3 3 3 3 3 16 16 16 16 3 3 3 3 3 16 16 16 16 16 7 16 na
+
+$$$$
+4grb_chainA
+     RDKit          3D
+
+ 22 22  0  0  0  0  0  0  0  0999 V2000
+   -1.9023   13.0806   50.3915 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0545   12.8181   51.0243 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6927   12.3407   50.5178 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2766   14.0642   50.6751 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3856   12.2448   48.6640 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2532   12.0974   49.5349 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1933   12.7034   47.8623 H   0  0  0  0  0  0  0  0  0  0  0  0
    -0.7710   11.2819   48.3289 H   0  0  0  0  0  0  0  0  0  0  0  0
    -3.4096   12.7697   47.7628 O   0  0  0  0  0  0  0  0  0  0  0  0
    -2.4092   15.8618   47.9211 C   0  0  0  0  0  0  0  0  0  0  0  0
@@ -3417,38 +4306,537 @@ $$$$
  15 16  1  0
  15 17  1  0
  17 18  1  0
- 17 21  2  0
+ 17 21  2  0
+ 19 20  1  0
+ 20 21  1  0
+ 14 22  1  0
+V   22 *
+M  END
+>  <kinase>  (60) 
+CK2a1
+
+>  <family>  (60) 
+CK2
+
+>  <group>  (60) 
+CMGC
+
+>  <complex_pdb>  (60) 
+4grb
+
+>  <ligand_pdb>  (60) 
+0XG
+
+>  <alt>  (60) 
+ 
+
+>  <chain>  (60) 
+A
+
+>  <atom.prop.subpocket>  (60) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (60) 
+5 5 5 5 5 5 5 5 1 16 16 16 16 16 16 16 16 16 5 1 16 na
+
+$$$$
+6fyo_altB_chainA
+     RDKit          3D
+
+ 23 23  0  0  0  0  0  0  0  0999 V2000
+   -2.0018   16.3416   46.9331 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1533   17.2229   48.0181 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7971   18.2390   47.9337 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2161   15.5524   49.3518 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0741   14.6395   48.2960 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.4292   13.6261   48.4115 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4755   15.0334   47.0946 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3781   14.3240   46.2861 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8690   15.1558   50.7069 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7583   14.6580   51.6768 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0135   15.4426   51.8096 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2815   13.7714   51.2587 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2021   14.4112   52.6413 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.5818   16.3790   51.3560 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8628   17.1862   51.4964 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.9949   16.0884   52.3219 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.3866   16.7187   50.7041 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.9277   14.0279   50.5238 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.4556   13.1566   50.0700 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.7301   14.3842   49.8777 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.3384   13.7538   51.4956 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7413   16.8127   49.1691 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3530   16.7359   45.6181 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  7  1  0
+  2  3  1  0
+  2 22  1  0
+  4  5  1  0
+  4  9  1  0
+  4 22  2  0
+  5  6  1  0
+  5  7  2  0
+  7  8  1  0
+  9 10  1  0
+  9 14  1  0
+  9 18  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18 19  1  0
+ 18 20  1  0
+ 18 21  1  0
+ 23  1  1  0
+V   23 *
+M  END
+>  <kinase>  (61) 
+CLK1
+
+>  <family>  (61) 
+CLK
+
+>  <group>  (61) 
+CMGC
+
+>  <complex_pdb>  (61) 
+6fyo
+
+>  <ligand_pdb>  (61) 
+EAQ
+
+>  <alt>  (61) 
+B
+
+>  <chain>  (61) 
+A
+
+>  <atom.prop.subpocket>  (61) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (61) 
+16 16 16 14 16 16 16 16 8 8 8 8 8 8 8 8 8 8 8 8 8 16 na
+
+$$$$
+8bu6_chainB
+     RDKit          3D
+
+ 18 19  0  0  0  0  0  0  0  0999 V2000
+   -2.4347   13.9455   48.1142 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6845   14.8608   46.1912 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0847   15.7609   45.0673 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.0066   16.2734   45.3423 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2577   15.1536   44.1789 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0443   11.7043   48.9181 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5051   10.8325   49.2581 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4563   13.5921   49.4607 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0045   14.1797   50.1822 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0144   12.0369   47.5828 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4672   11.4447   46.8643 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7206   13.1693   47.2039 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7576   12.4711   49.8426 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7604   12.1765   50.8817 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0401   15.0118   47.4530 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9071   13.7793   45.9861 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5306   13.4732   45.1003 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0767   16.7539   44.7604 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  8  2  0
+  1 12  1  0
+  1 15  1  0
+  2  3  1  0
+  2 15  2  0
+  2 16  1  0
+  3  4  1  0
+  3  5  1  0
+  6  7  1  0
+  6 10  1  0
+  6 13  2  0
+  8  9  1  0
+  8 13  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 16  1  0
+ 13 14  1  0
+ 16 17  1  0
+  3 18  1  0
+V   18 *
+M  END
+>  <kinase>  (62) 
+CRK7
+
+>  <family>  (62) 
+CDK
+
+>  <group>  (62) 
+CMGC
+
+>  <complex_pdb>  (62) 
+8bu6
+
+>  <ligand_pdb>  (62) 
+RQE
+
+>  <alt>  (62) 
+ 
+
+>  <chain>  (62) 
+B
+
+>  <atom.prop.subpocket>  (62) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (62) 
+14 14 4 4 4 14 14 14 14 14 14 14 14 14 14 14 14 na
+
+$$$$
+8bug_chainB
+     RDKit          3D
+
+ 10 10  0  0  0  0  0  0  0  0999 V2000
+   -0.9579   14.8980   45.1863 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0147   12.7816   45.5975 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4982   12.6582   44.7363 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4912   13.2734   46.4795 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1245   15.5589   45.4445 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0201   13.6825   45.6631 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0592   14.8610   46.1389 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.0229   15.2478   46.4355 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3125   12.0248   46.7175 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2460   16.9712   44.9862 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  5  1  0
+  1  6  2  0
+  2  3  1  0
+  2  6  1  0
+  4  6  1  0
+  4  7  1  0
+  5  7  2  0
+  7  8  1  0
+  2  9  1  0
+ 10  5  1  0
+V    9 *
+V   10 *
+M  END
+>  <kinase>  (63) 
+CRK7
+
+>  <family>  (63) 
+CDK
+
+>  <group>  (63) 
+CMGC
+
+>  <complex_pdb>  (63) 
+8bug
+
+>  <ligand_pdb>  (63) 
+RPW
+
+>  <alt>  (63) 
+ 
+
+>  <chain>  (63) 
+B
+
+>  <atom.prop.subpocket>  (63) 
+SE SE SE SE SE SE SE SE X-SE AP
+
+>  <atom.prop.environment>  (63) 
+14 5 5 14 14 14 14 14 na na
+
+$$$$
+8buh_chainB
+     RDKit          3D
+
+ 15 15  0  0  0  0  0  0  0  0999 V2000
+   -2.8488   15.7846   48.7130 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1099   15.9378   45.2870 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2204   14.9297   45.1300 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8004   14.7304   44.1552 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8417   14.1428   46.2273 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1390   13.3344   46.0888 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3620   14.3933   47.4902 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3144   15.4713   47.6476 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5329   16.7937   44.1174 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5439   17.1598   44.2962 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5214   16.1853   43.2131 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6351   16.1919   46.5214 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2954   16.9508   46.6122 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6527   17.9244   43.9310 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9505   13.5658   48.6534 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  8  2  0
+  2  3  2  0
+  2  9  1  0
+  2 12  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  1  0
+  5  7  2  0
+  7  8  1  0
+  8 12  1  0
+  9 10  1  0
+  9 11  1  0
+ 12 13  1  0
+  9 14  1  0
+  7 15  1  0
+V   14 *
+V   15 *
+M  END
+>  <kinase>  (64) 
+CRK7
+
+>  <family>  (64) 
+CDK
+
+>  <group>  (64) 
+CMGC
+
+>  <complex_pdb>  (64) 
+8buh
+
+>  <ligand_pdb>  (64) 
+RR9
+
+>  <alt>  (64) 
+ 
+
+>  <chain>  (64) 
+B
+
+>  <atom.prop.subpocket>  (64) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE AP X-SE
+
+>  <atom.prop.environment>  (64) 
+14 14 14 14 14 14 16 14 4 4 4 14 14 na na
+
+$$$$
+8bul_chainB
+     RDKit          3D
+
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+   -1.8663   16.1282   44.5064 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9408   16.0626   44.3351 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3499   15.4320   43.8456 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5741   15.7420   45.9539 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2466   16.3006   46.6049 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5423   16.0083   46.1829 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7633   14.2486   46.2240 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2495   13.6860   45.4445 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8290   14.0216   46.1933 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2181   13.8222   47.5652 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7227   14.4401   48.6929 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4628   15.2193   48.5859 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2954   14.0768   49.9557 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6807   14.5895   50.8246 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3807   13.0638   50.1054 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0454   12.7794   51.0919 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1082   12.4116   48.9975 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8231   11.6108   49.1160 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3145   12.7793   47.7275 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0605   12.2528   46.8623 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4269   17.4720   44.2034 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  4  5  1  0
+  4  6  1  0
+  4  7  1  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+ 10 11  2  0
+ 10 19  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 13 14  1  0
+ 13 15  2  0
+ 15 16  1  0
+ 15 17  1  0
+ 17 18  1  0
+ 17 19  2  0
  19 20  1  0
- 20 21  1  0
- 14 22  1  0
-V   22 *
+  1 21  1  0
+V   21 *
 M  END
->  <kinase>  (48) 
-CK2a1
+>  <kinase>  (65) 
+CRK7
 
->  <family>  (48) 
-CK2
+>  <family>  (65) 
+CDK
 
->  <group>  (48) 
+>  <group>  (65) 
 CMGC
 
->  <complex_pdb>  (48) 
-4grb
+>  <complex_pdb>  (65) 
+8bul
 
->  <ligand_pdb>  (48) 
-0XG
+>  <ligand_pdb>  (65) 
+RSU
 
->  <alt>  (48) 
+>  <alt>  (65) 
  
 
->  <chain>  (48) 
+>  <chain>  (65) 
+B
+
+>  <atom.prop.subpocket>  (65) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (65) 
+4 4 4 4 4 4 8 4 4 16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+8buq_chainB
+     RDKit          3D
+
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -1.1791   14.0253   47.3403 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5002   13.0648   49.8413 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2350   12.6841   50.8165 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8950   14.8045   43.9211 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9832   14.6433   42.8568 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1672   12.3680   48.7003 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1943   15.9800   44.6278 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1778   14.2562   49.7127 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4481   14.8132   50.5976 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5172   14.7499   48.4655 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0401   15.6904   48.3735 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4933   12.8321   47.4382 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2184   12.2758   46.5542 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4705   13.9098   44.8553 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1551   12.8933   44.6718 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9752   15.8104   45.9226 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5171   14.5298   46.0544 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6904   10.8618   48.8366 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7106   17.2922   44.1274 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1 10  1  0
+  1 12  2  0
+  1 17  1  0
+  2  3  1  0
+  2  6  2  0
+  2  8  1  0
+  4  5  1  0
+  4  7  1  0
+  4 14  2  0
+  6 12  1  0
+  6 18  1  0
+  7 16  2  0
+  8  9  1  0
+  8 10  2  0
+ 10 11  1  0
+ 12 13  1  0
+ 14 15  1  0
+ 14 17  1  0
+ 16 17  1  0
+ 19  7  1  0
+V   19 *
+M  END
+>  <kinase>  (66) 
+CRK7
+
+>  <family>  (66) 
+CDK
+
+>  <group>  (66) 
+CMGC
+
+>  <complex_pdb>  (66) 
+8buq
+
+>  <ligand_pdb>  (66) 
+RQ9
+
+>  <alt>  (66) 
+ 
+
+>  <chain>  (66) 
+B
+
+>  <atom.prop.subpocket>  (66) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (66) 
+16 16 16 14 14 16 14 16 16 16 16 16 16 14 14 14 9 16 na
+
+$$$$
+2wel_altC_chainA
+     RDKit          3D
+
+ 22 23  0  0  0  0  0  0  0  0999 V2000
+    1.5837   18.1211   45.0232 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2777   17.4237   44.5778 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9198   17.7221   46.1850 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9688   16.4350   46.6100 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4799   15.6193   46.1202 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2580   16.3600   47.7629 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0132   15.1394   48.6640 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9760   14.7068   48.9358 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5708   14.4060   48.1081 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7517   15.5040   49.9610 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2856   14.9494   50.7755 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7801   15.1661   49.8332 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8099   16.9890   50.3949 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1398   17.2354   50.8696 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6166   17.0932   51.1206 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0545   18.0151   49.2650 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7692   19.0095   49.6083 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1102   18.0134   48.9938 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2126   17.6347   48.0444 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1937   18.4478   47.0564 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0103   19.4340   46.9799 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4150   19.3550   44.3973 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  3  4  2  0
+  3 20  1  0
+  4  5  1  0
+  4  6  1  0
+  6  7  1  0
+  6 19  2  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 16  1  0
+ 16 17  1  0
+ 16 18  1  0
+ 16 19  1  0
+ 19 20  1  0
+ 20 21  1  0
+ 22  1  2  0
+V   22 *
+M  END
+>  <kinase>  (67) 
+CaMK2d
+
+>  <family>  (67) 
+CAMK2
+
+>  <group>  (67) 
+CAMK
+
+>  <complex_pdb>  (67) 
+2wel
+
+>  <ligand_pdb>  (67) 
+K88
+
+>  <alt>  (67) 
+C
+
+>  <chain>  (67) 
 A
 
->  <atom.prop.subpocket>  (48) 
+>  <atom.prop.subpocket>  (67) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (48) 
-5 5 5 5 5 5 5 5 6 16 16 16 16 16 16 16 16 16 5 6 16 na
+>  <atom.prop.environment>  (67) 
+7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 na
 
 $$$$
 5yvc_chainA
@@ -3487,34 +4875,34 @@ $$$$
  12 13  1  0
  12 14  2  0
  14 15  1  0
-  4 16  2  0
+ 16  4  2  0
 V   16 *
 M  END
->  <kinase>  (49) 
+>  <kinase>  (68) 
 CaMKK2
 
->  <family>  (49) 
+>  <family>  (68) 
 CAMKK
 
->  <group>  (49) 
+>  <group>  (68) 
 Other
 
->  <complex_pdb>  (49) 
+>  <complex_pdb>  (68) 
 5yvc
 
->  <ligand_pdb>  (49) 
+>  <ligand_pdb>  (68) 
 SU6
 
->  <alt>  (49) 
+>  <alt>  (68) 
  
 
->  <chain>  (49) 
+>  <chain>  (68) 
 A
 
->  <atom.prop.subpocket>  (49) 
+>  <atom.prop.subpocket>  (68) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (49) 
+>  <atom.prop.environment>  (68) 
 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 na
 
 $$$$
@@ -3555,35 +4943,35 @@ $$$$
  13 14  1  0
  14 15  1  0
  14 16  1  0
-  4 17  1  0
+ 17  4  1  0
 V   17 *
 M  END
->  <kinase>  (50) 
+>  <kinase>  (69) 
 CaMKK2
 
->  <family>  (50) 
+>  <family>  (69) 
 CAMKK
 
->  <group>  (50) 
+>  <group>  (69) 
 Other
 
->  <complex_pdb>  (50) 
+>  <complex_pdb>  (69) 
 6bqp
 
->  <ligand_pdb>  (50) 
+>  <ligand_pdb>  (69) 
 6T2
 
->  <alt>  (50) 
+>  <alt>  (69) 
  
 
->  <chain>  (50) 
+>  <chain>  (69) 
 A
 
->  <atom.prop.subpocket>  (50) 
+>  <atom.prop.subpocket>  (69) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (50) 
-8 8 8 3 15 8 8 8 8 15 15 15 15 15 15 15 na
+>  <atom.prop.environment>  (69) 
+4 4 4 3 15 8 8 8 8 15 15 15 15 15 15 15 na
 
 $$$$
 6bqq_chainA
@@ -3613,52 +5001,183 @@ $$$$
   1  4  2  0
   1 11  1  0
   2  3  1  0
-  2 10  1  0
-  2 11  2  0
+  2 10  1  0
+  2 11  2  0
+  4  5  1  0
+  4 17  1  0
+  6  7  2  0
+  6  8  1  0
+  6 10  1  0
+  8  9  1  0
+ 10 17  2  0
+ 11 12  1  0
+ 12 13  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 16  1  0
+ 17 18  1  0
+  1 19  1  0
+ 20  8  1  0
+V   19 *
+V   20 *
+M  END
+>  <kinase>  (70) 
+CaMKK2
+
+>  <family>  (70) 
+CAMKK
+
+>  <group>  (70) 
+Other
+
+>  <complex_pdb>  (70) 
+6bqq
+
+>  <ligand_pdb>  (70) 
+R78
+
+>  <alt>  (70) 
+ 
+
+>  <chain>  (70) 
+A
+
+>  <atom.prop.subpocket>  (70) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP X-SE
+
+>  <atom.prop.environment>  (70) 
+16 16 16 16 16 1 1 5 5 16 16 3 3 3 3 3 16 16 na na
+
+$$$$
+6y6f_altB_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+   -1.6093   16.1706   45.5549 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3763   16.5237   46.6638 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5713   17.5659   46.8691 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8907   15.5515   47.5049 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.4873   15.8396   48.3578 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6436   14.2101   47.2572 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2942   13.0808   48.4409 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4751   11.5285   48.0602 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8186   10.7577   48.7501 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3969   11.6522   48.1612 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7128   11.2334   47.0382 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9030   13.8465   46.1422 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7218   12.8025   45.9334 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3965   14.8153   45.2982 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8285   14.5204   44.4283 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9840   17.1968   44.7133 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 14  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6 12  1  0
+  7  8  1  0
+  8  9  1  0
+  8 10  1  0
+  8 11  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 16  1  1  0
+V   16 *
+M  END
+>  <kinase>  (71) 
+DRAK2
+
+>  <family>  (71) 
+DAPK
+
+>  <group>  (71) 
+CAMK
+
+>  <complex_pdb>  (71) 
+6y6f
+
+>  <ligand_pdb>  (71) 
+OD2
+
+>  <alt>  (71) 
+B
+
+>  <chain>  (71) 
+A
+
+>  <atom.prop.subpocket>  (71) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (71) 
+16 16 16 16 16 16 11 11 11 11 11 16 16 16 16 na
+
+$$$$
+6y6h_altA_chainA
+     RDKit          3D
+
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+   -1.5523   16.1811   45.5171 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5552   16.6502   46.8827 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7105   15.0064   47.3792 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0555   14.1208   46.5147 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4112   14.8392   45.4289 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8730   14.3501   44.6305 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3581   14.5486   48.5256 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8624   15.2434   49.1808 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3487   13.1934   48.8169 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8374   12.8325   49.7097 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7181   12.3031   47.9719 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7218   11.2483   48.2036 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0791   12.7559   46.8257 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5957   12.0488   46.1679 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9149   17.2041   44.6972 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  5  2  0
+  2  3  1  0
+  3  4  2  0
+  3  7  1  0
   4  5  1  0
-  4 17  1  0
-  6  7  2  0
-  6  8  1  0
-  6 10  1  0
-  8  9  1  0
- 10 17  2  0
+  4 13  1  0
+  5  6  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 11  1  0
  11 12  1  0
- 12 13  1  0
+ 11 13  2  0
  13 14  1  0
- 13 15  1  0
- 13 16  1  0
- 17 18  1  0
-  1 19  1  0
-  8 20  1  0
-V   19 *
-V   20 *
+ 15  1  1  0
+V   15 *
 M  END
->  <kinase>  (51) 
-CaMKK2
+>  <kinase>  (72) 
+DRAK2
 
->  <family>  (51) 
-CAMKK
+>  <family>  (72) 
+DAPK
 
->  <group>  (51) 
-Other
+>  <group>  (72) 
+CAMK
 
->  <complex_pdb>  (51) 
-6bqq
+>  <complex_pdb>  (72) 
+6y6h
 
->  <ligand_pdb>  (51) 
-R78
+>  <ligand_pdb>  (72) 
+OBW
 
->  <alt>  (51) 
- 
+>  <alt>  (72) 
+A
 
->  <chain>  (51) 
+>  <chain>  (72) 
 A
 
->  <atom.prop.subpocket>  (51) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP X-SE
+>  <atom.prop.subpocket>  (72) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (51) 
-16 16 16 16 16 6 6 5 5 16 16 3 3 3 3 3 16 16 na na
+>  <atom.prop.environment>  (72) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
 2j6m_chainA
@@ -3738,32 +5257,32 @@ $$$$
  34 35  1  0
 V   35 *
 M  END
->  <kinase>  (52) 
+>  <kinase>  (73) 
 EGFR
 
->  <family>  (52) 
+>  <family>  (73) 
 EGFR
 
->  <group>  (52) 
+>  <group>  (73) 
 TK
 
->  <complex_pdb>  (52) 
+>  <complex_pdb>  (73) 
 2j6m
 
->  <ligand_pdb>  (52) 
+>  <ligand_pdb>  (73) 
 AEE
 
->  <alt>  (52) 
+>  <alt>  (73) 
  
 
->  <chain>  (52) 
+>  <chain>  (73) 
 A
 
->  <atom.prop.subpocket>  (52) 
+>  <atom.prop.subpocket>  (73) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (52) 
-5 5 5 5 5 5 5 4 4 4 4 4 4 4 5 5 5 5 5 5 5 8 8 8 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (73) 
+5 5 5 5 5 5 5 4 4 4 4 4 4 4 5 5 5 5 5 5 5 4 4 4 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 4rj7_altA_chainA
@@ -3798,103 +5317,178 @@ $$$$
   5  9  1  0
   9 11  2  0
  12 13  1  0
- 12 14  1  0
+ 14 12  1  0
   1 15  1  0
 V   14 *
 V   15 *
 M  END
->  <kinase>  (53) 
+>  <kinase>  (74) 
 EGFR
 
->  <family>  (53) 
+>  <family>  (74) 
 EGFR
 
->  <group>  (53) 
+>  <group>  (74) 
 TK
 
->  <complex_pdb>  (53) 
+>  <complex_pdb>  (74) 
 4rj7
 
->  <ligand_pdb>  (53) 
+>  <ligand_pdb>  (74) 
 3R1
 
->  <alt>  (53) 
+>  <alt>  (74) 
 A
 
->  <chain>  (53) 
+>  <chain>  (74) 
 A
 
->  <atom.prop.subpocket>  (53) 
+>  <atom.prop.subpocket>  (74) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE FP AP
 
->  <atom.prop.environment>  (53) 
+>  <atom.prop.environment>  (74) 
 14 14 14 14 8 8 8 8 14 14 14 5 5 na na
 
 $$$$
-5ia3_altB_chainA
+4fv6_chainA
      RDKit          3D
 
- 16 16  0  0  0  0  0  0  0  0999 V2000
-   -1.1531   13.2067   44.1128 S   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3948   14.5542   45.2396 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3096   15.8752   44.8002 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1033   16.0797   43.7600 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4888   16.9403   45.6933 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.7701   16.6436   47.0209 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9318   17.4505   47.7202 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.8480   15.3274   47.4689 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0547   15.1210   48.5086 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6593   14.2806   46.5756 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.7179   13.2581   46.9184 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.8228   12.6398   43.9004 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.8343   11.7919   43.2155 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.4309   13.4462   43.4905 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.2280   12.3334   44.8648 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.4563   18.2506   45.3551 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1 12  1  0
-  2  3  2  0
-  2 10  1  0
+ 15 14  0  0  0  0  0  0  0  0999 V2000
+   -1.5990   16.4039   44.4583 C   0  0  2  0  0  0  0  0  0  0  0  0
+   -0.6409   15.8846   44.4828 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3353   15.9431   43.2113 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6233   15.8776   42.3887 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1047   16.6761   42.9684 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9529   14.6724   43.3834 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3887   14.4474   42.5581 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3753   16.0708   45.7386 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7235   15.0399   45.6748 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2327   16.7402   45.8083 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5563   16.2190   46.9747 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6935   15.5551   46.9206 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1604   15.9596   47.8441 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2159   17.2507   47.0635 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4231   17.8553   44.4050 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  1
+  1  3  1  0
+  1  8  1  0
   3  4  1  0
   3  5  1  0
-  5  6  2  0
+  3  6  1  0
   6  7  1  0
-  6  8  1  0
   8  9  1  0
-  8 10  2  0
- 10 11  1  0
- 12 13  1  0
- 12 14  1  0
- 12 15  1  0
-  5 16  1  0
-V   16 *
+  8 10  1  0
+  8 11  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 15  1  1  0
+V   15 *
 M  END
->  <kinase>  (54) 
-EphA2
+>  <kinase>  (75) 
+Erk2
 
->  <family>  (54) 
-Eph
+>  <family>  (75) 
+MAPK
 
->  <group>  (54) 
-TK
+>  <group>  (75) 
+CMGC
 
->  <complex_pdb>  (54) 
-5ia3
+>  <complex_pdb>  (75) 
+4fv6
 
->  <ligand_pdb>  (54) 
-P17
+>  <ligand_pdb>  (75) 
+E57
 
->  <alt>  (54) 
-B
+>  <alt>  (75) 
+ 
 
->  <chain>  (54) 
+>  <chain>  (75) 
 A
 
->  <atom.prop.subpocket>  (54) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+>  <atom.prop.subpocket>  (75) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (54) 
-11 16 16 16 16 16 16 16 16 16 16 11 11 11 11 na
+>  <atom.prop.environment>  (75) 
+4 4 4 4 4 3 3 4 4 4 4 4 4 4 na
+
+$$$$
+4qp3_chainB
+     RDKit          3D
+
+ 22 22  0  0  0  0  0  0  0  0999 V2000
+   -1.7833   15.9032   47.4588 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3406   14.6720   47.8958 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4495   13.8047   47.2615 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7571   14.5447   49.1448 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4052   13.5809   49.4820 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4231   16.0374   46.1033 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0304   16.9426   46.1018 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0633   15.1702   45.9417 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4341   16.1241   44.9405 C   0  0  1  0  0  0  0  0  0  0  0  0
+   -0.6082   15.4274   45.0838 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2070   15.8048   43.6567 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5484   15.9283   42.7969 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0547   16.4839   43.5656 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6254   15.6576   49.9624 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1712   15.5622   50.9376 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0784   16.8929   49.5242 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9782   17.7621   50.1573 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6590   17.0089   48.2738 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0167   17.9697   47.9344 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6804   14.4573   43.7028 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1580   14.2894   42.8872 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9023   17.4848   44.8538 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  6  1  0
+  1 18  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4 14  2  0
+  6  7  1  0
+  6  8  1  0
+  6  9  1  0
+  9 10  1  1
+  9 11  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 20  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 16 17  1  0
+ 16 18  2  0
+ 18 19  1  0
+ 20 21  1  0
+  9 22  1  0
+V   22 *
+M  END
+>  <kinase>  (76) 
+Erk2
+
+>  <family>  (76) 
+MAPK
+
+>  <group>  (76) 
+CMGC
+
+>  <complex_pdb>  (76) 
+4qp3
+
+>  <ligand_pdb>  (76) 
+36Q
+
+>  <alt>  (76) 
+ 
+
+>  <chain>  (76) 
+B
+
+>  <atom.prop.subpocket>  (76) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (76) 
+16 16 16 16 16 8 4 4 4 4 4 4 4 16 16 16 16 16 16 3 3 na
 
 $$$$
 4qte_altB_chainA
@@ -3924,36 +5518,111 @@ $$$$
   8  9  1  0
   8 10  2  0
  10 11  1  0
-  1 12  1  0
+ 12  1  1  0
 V   12 *
 M  END
->  <kinase>  (55) 
+>  <kinase>  (77) 
 Erk2
 
->  <family>  (55) 
+>  <family>  (77) 
 MAPK
 
->  <group>  (55) 
+>  <group>  (77) 
 CMGC
 
->  <complex_pdb>  (55) 
+>  <complex_pdb>  (77) 
 4qte
 
->  <ligand_pdb>  (55) 
+>  <ligand_pdb>  (77) 
 390
 
->  <alt>  (55) 
+>  <alt>  (77) 
 B
 
->  <chain>  (55) 
+>  <chain>  (77) 
 A
 
->  <atom.prop.subpocket>  (55) 
+>  <atom.prop.subpocket>  (77) 
 SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (55) 
+>  <atom.prop.environment>  (77) 
 16 16 16 16 16 16 16 16 16 16 16 na
 
+$$$$
+6yoj_altB_chainA
+     RDKit          3D
+
+ 20 21  0  0  0  0  0  0  0  0999 V2000
+   -0.7855   17.5836   45.0367 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4428   16.4487   44.2933 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2615   16.5336   43.2320 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3515   16.1095   48.4765 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4500   16.2294   49.0773 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0759   16.8762   48.7515 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9522   14.7201   48.7161 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9557   14.6881   48.2919 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0053   14.5354   49.7891 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1118   13.6480   48.0733 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1153   17.4710   46.3935 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4478   18.3353   46.9492 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3346   15.2027   44.9241 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0121   14.3325   44.3717 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6474   15.1080   46.2634 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0091   16.2339   47.0145 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5210   13.8531   46.8922 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0115   13.1152   46.4540 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9863   12.5339   48.5853 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9930   18.8506   44.4517 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 11  1  0
+  2  3  1  0
+  2 13  1  0
+  4  5  1  0
+  4  6  1  0
+  4  7  1  0
+  4 16  1  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+ 10 17  1  0
+ 10 19  2  0
+ 11 12  1  0
+ 11 16  2  0
+ 13 14  1  0
+ 13 15  2  0
+ 15 16  1  0
+ 15 17  1  0
+ 17 18  1  0
+ 20  1  1  0
+V   20 *
+M  END
+>  <kinase>  (78) 
+FAK
+
+>  <family>  (78) 
+FAK
+
+>  <group>  (78) 
+TK
+
+>  <complex_pdb>  (78) 
+6yoj
+
+>  <ligand_pdb>  (78) 
+P4N
+
+>  <alt>  (78) 
+B
+
+>  <chain>  (78) 
+A
+
+>  <atom.prop.subpocket>  (78) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (78) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
+
 $$$$
 4f63_chainB
      RDKit          3D
@@ -3977,36 +5646,36 @@ $$$$
   5  6  1  0
   5  7  2  0
   7  8  1  0
-  1  9  1  0
+  9  1  1  0
   3 10  1  0
 V    9 *
 V   10 *
 M  END
->  <kinase>  (56) 
+>  <kinase>  (79) 
 FGFR1
 
->  <family>  (56) 
+>  <family>  (79) 
 FGFR
 
->  <group>  (56) 
+>  <group>  (79) 
 TK
 
->  <complex_pdb>  (56) 
+>  <complex_pdb>  (79) 
 4f63
 
->  <ligand_pdb>  (56) 
+>  <ligand_pdb>  (79) 
 0S7
 
->  <alt>  (56) 
+>  <alt>  (79) 
  
 
->  <chain>  (56) 
+>  <chain>  (79) 
 B
 
->  <atom.prop.subpocket>  (56) 
+>  <atom.prop.subpocket>  (79) 
 SE SE SE SE SE SE SE SE AP FP
 
->  <atom.prop.environment>  (56) 
+>  <atom.prop.environment>  (79) 
 14 14 14 14 14 14 14 14 na na
 
 $$$$
@@ -4053,34 +5722,34 @@ $$$$
  16 17  1  0
  16 18  1  0
  16 19  1  0
-  1 20  1  0
+ 20  1  1  0
 V   20 *
 M  END
->  <kinase>  (57) 
+>  <kinase>  (80) 
 FGFR1
 
->  <family>  (57) 
+>  <family>  (80) 
 FGFR
 
->  <group>  (57) 
+>  <group>  (80) 
 TK
 
->  <complex_pdb>  (57) 
+>  <complex_pdb>  (80) 
 4uwc
 
->  <ligand_pdb>  (57) 
+>  <ligand_pdb>  (80) 
 4Y0
 
->  <alt>  (57) 
+>  <alt>  (80) 
 B
 
->  <chain>  (57) 
+>  <chain>  (80) 
 A
 
->  <atom.prop.subpocket>  (57) 
+>  <atom.prop.subpocket>  (80) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (57) 
+>  <atom.prop.environment>  (80) 
 16 16 16 16 16 16 16 16 16 3 3 3 3 3 3 3 3 3 3 na
 
 $$$$
@@ -4127,32 +5796,32 @@ $$$$
 V   17 *
 V   18 *
 M  END
->  <kinase>  (58) 
+>  <kinase>  (81) 
 FGFR2
 
->  <family>  (58) 
+>  <family>  (81) 
 FGFR
 
->  <group>  (58) 
+>  <group>  (81) 
 TK
 
->  <complex_pdb>  (58) 
+>  <complex_pdb>  (81) 
 1oec
 
->  <ligand_pdb>  (58) 
+>  <ligand_pdb>  (81) 
 AA2
 
->  <alt>  (58) 
+>  <alt>  (81) 
  
 
->  <chain>  (58) 
+>  <chain>  (81) 
 A
 
->  <atom.prop.subpocket>  (58) 
+>  <atom.prop.subpocket>  (81) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE X-SE AP
 
->  <atom.prop.environment>  (58) 
-16 16 16 16 16 16 16 16 16 16 8 8 8 8 8 8 na na
+>  <atom.prop.environment>  (81) 
+16 16 16 16 16 16 16 16 16 16 8 4 4 4 4 4 na na
 
 $$$$
 1q5k_chainB
@@ -4200,35 +5869,35 @@ $$$$
  17 18  1  0
  17 19  1  0
  17 20  1  0
-  1 21  1  0
+ 21  1  1  0
 V   21 *
 M  END
->  <kinase>  (59) 
+>  <kinase>  (82) 
 GSK3B
 
->  <family>  (59) 
+>  <family>  (82) 
 GSK
 
->  <group>  (59) 
+>  <group>  (82) 
 CMGC
 
->  <complex_pdb>  (59) 
+>  <complex_pdb>  (82) 
 1q5k
 
->  <ligand_pdb>  (59) 
+>  <ligand_pdb>  (82) 
 TMU
 
->  <alt>  (59) 
+>  <alt>  (82) 
  
 
->  <chain>  (59) 
+>  <chain>  (82) 
 B
 
->  <atom.prop.subpocket>  (59) 
+>  <atom.prop.subpocket>  (82) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (59) 
-5 5 8 8 8 16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 na
+>  <atom.prop.environment>  (82) 
+5 5 4 4 4 16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 na
 
 $$$$
 2o5k_chainA
@@ -4261,32 +5930,323 @@ $$$$
   1 12  1  0
 V   12 *
 M  END
->  <kinase>  (60) 
-GSK3B
+>  <kinase>  (83) 
+GSK3B
+
+>  <family>  (83) 
+GSK
+
+>  <group>  (83) 
+CMGC
+
+>  <complex_pdb>  (83) 
+2o5k
+
+>  <ligand_pdb>  (83) 
+HBM
+
+>  <alt>  (83) 
+ 
+
+>  <chain>  (83) 
+A
+
+>  <atom.prop.subpocket>  (83) 
+SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (83) 
+16 16 16 16 16 16 16 16 16 16 16 na
+
+$$$$
+5k5n_chainB
+     RDKit          3D
+
+ 17 17  0  0  0  0  0  0  0  0999 V2000
+   -2.5176   14.6761   44.6487 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3023   14.2164   44.0478 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9008   14.8865   45.6472 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9895   16.7223   44.7127 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1080   16.0812   44.7240 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3027   16.9275   45.7363 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1132   15.9950   43.9945 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9854   16.6484   43.9728 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7898   15.7867   42.9746 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1571   12.6869   45.6437 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8626   12.3119   46.3704 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8232   12.9804   43.8396 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1311   12.9336   42.8054 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1789   12.2994   44.3491 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7808   13.5506   45.9571 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4074   13.7338   44.7648 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6443   17.9823   44.0666 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  7  1  0
+  1 16  1  0
+  4  5  1  0
+  4  6  1  0
+  4  7  1  0
+  7  8  1  0
+  7  9  1  0
+ 10 11  1  0
+ 10 14  1  0
+ 10 15  2  0
+ 12 13  1  0
+ 12 14  2  0
+ 12 16  1  0
+ 15 16  1  0
+  4 17  1  0
+V   17 *
+M  END
+>  <kinase>  (84) 
+GSK3B
+
+>  <family>  (84) 
+GSK
+
+>  <group>  (84) 
+CMGC
+
+>  <complex_pdb>  (84) 
+5k5n
+
+>  <ligand_pdb>  (84) 
+6QH
+
+>  <alt>  (84) 
+ 
+
+>  <chain>  (84) 
+B
+
+>  <atom.prop.subpocket>  (84) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (84) 
+8 4 4 4 4 4 4 4 4 9 9 9 9 9 9 9 na
+
+$$$$
+3i81_chainA
+     RDKit          3D
+
+ 14 15  0  0  0  0  0  0  0  0999 V2000
+   -0.1866   14.6122   46.3728 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1387   13.5594   46.6092 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0085   15.5528   47.0310 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6861   15.3416   47.8450 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7946   16.7999   46.4493 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2620   17.7369   46.7138 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1864   16.5695   45.4169 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5387   15.2283   45.3936 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8366   17.3794   44.4687 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7524   16.8809   43.5838 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4703   14.7653   44.4825 N   0  0  0  0  0  0  0  0  0  0  0  0
+    2.0709   15.5767   43.5901 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5080   18.7147   44.4666 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.9763   15.0884   42.7161 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  2  0
+  1  8  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  1  0
+  5  7  2  0
+  7  8  1  0
+  7  9  1  0
+  8 11  1  0
+  9 10  2  0
+ 10 12  1  0
+ 11 12  2  0
+ 13  9  1  0
+ 12 14  1  0
+V   13 *
+V   14 *
+M  END
+>  <kinase>  (85) 
+IGF1R
+
+>  <family>  (85) 
+InsR
+
+>  <group>  (85) 
+TK
+
+>  <complex_pdb>  (85) 
+3i81
+
+>  <ligand_pdb>  (85) 
+EBI
+
+>  <alt>  (85) 
+ 
+
+>  <chain>  (85) 
+A
+
+>  <atom.prop.subpocket>  (85) 
+SE SE SE SE SE SE SE SE SE SE SE SE AP FP
+
+>  <atom.prop.environment>  (85) 
+14 14 14 14 14 14 14 14 14 14 14 14 na na
+
+$$$$
+3qqu_chainB
+     RDKit          3D
+
+ 29 30  0  0  0  0  0  0  0  0999 V2000
+    0.3794   14.1163   45.1339 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.7502   11.9383   45.2758 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6795   11.8331   44.3038 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0710   10.9616   44.5455 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1165   11.7076   43.3131 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1462   14.8733   42.3494 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2229   13.0784   44.2922 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3213   13.4481   43.2715 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2075   12.8191   44.6812 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9447   13.7050   46.4320 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2491   13.9980   47.2184 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8929   14.2235   46.5740 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1935   12.2127   46.5446 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8936   11.9827   47.3477 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2658   11.6626   46.7026 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0223   17.7424   45.3113 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2986   18.4886   46.0415 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2914   18.1941   43.9746 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6682   17.1914   42.9842 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.9078   17.4936   41.9754 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7217   15.7873   43.3525 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3833   15.4150   44.7301 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0075   16.3805   45.7337 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2368   16.0894   46.7446 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2164   14.6851   41.2592 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6307   13.9711   40.5475 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0447   15.6384   40.7594 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7276   14.3038   41.6486 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1887   19.5871   43.7584 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  7  1  0
+  1 10  1  0
+  1 22  1  0
+  2  3  1  0
+  2 13  1  0
+  3  4  1  0
+  3  5  1  0
+  3  7  1  0
+  6 21  1  0
+  6 25  1  0
+  7  8  1  0
+  7  9  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 16 17  1  0
+ 16 18  2  0
+ 16 23  1  0
+ 18 19  1  0
+ 19 20  1  0
+ 19 21  2  0
+ 21 22  1  0
+ 22 23  2  0
+ 23 24  1  0
+ 25 26  1  0
+ 25 27  1  0
+ 25 28  1  0
+ 29 18  1  0
+V   29 *
+M  END
+>  <kinase>  (86) 
+IGF1R
+
+>  <family>  (86) 
+InsR
+
+>  <group>  (86) 
+TK
+
+>  <complex_pdb>  (86) 
+3qqu
+
+>  <ligand_pdb>  (86) 
+01P
+
+>  <alt>  (86) 
+ 
+
+>  <chain>  (86) 
+B
+
+>  <atom.prop.subpocket>  (86) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (86) 
+5 5 5 5 5 3 5 5 5 5 5 5 5 5 5 16 16 16 16 16 16 16 16 16 3 3 3 3 na
+
+$$$$
+4ibm_altA_chainA
+     RDKit          3D
+
+ 15 16  0  0  0  0  0  0  0  0999 V2000
+    0.9990   16.9690   44.1983 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3149   16.6516   45.4667 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3373   17.4396   46.4112 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4368   18.5066   46.2772 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8570   16.8013   47.5362 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3879   17.3615   48.2916 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6767   15.4189   47.6665 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0739   14.9063   48.5302 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0112   14.6983   46.6911 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1577   13.6337   46.7977 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5013   15.6626   43.6860 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.1727   14.7078   44.5895 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4899   15.3491   45.6145 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0671   18.3076   43.5826 *   0  0  0  0  0  0  0  0  0  0  0  0
+    2.2347   15.3628   42.4356 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 11  1  0
+  2  3  1  0
+  2 13  1  0
+  3  4  1  0
+  3  5  2  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+  9 13  1  0
+ 11 12  2  0
+ 12 13  1  0
+ 14  1  1  0
+ 11 15  1  0
+V   14 *
+V   15 *
+M  END
+>  <kinase>  (87) 
+INSR
 
->  <family>  (60) 
-GSK
+>  <family>  (87) 
+InsR
 
->  <group>  (60) 
-CMGC
+>  <group>  (87) 
+TK
 
->  <complex_pdb>  (60) 
-2o5k
+>  <complex_pdb>  (87) 
+4ibm
 
->  <ligand_pdb>  (60) 
-HBM
+>  <ligand_pdb>  (87) 
+IR1
 
->  <alt>  (60) 
- 
+>  <alt>  (87) 
+A
 
->  <chain>  (60) 
+>  <chain>  (87) 
 A
 
->  <atom.prop.subpocket>  (60) 
-SE SE SE SE SE SE SE SE SE SE SE AP
+>  <atom.prop.subpocket>  (87) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE AP FP
 
->  <atom.prop.environment>  (60) 
-16 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (87) 
+16 16 16 16 16 16 16 16 16 16 14 16 16 na na
 
 $$$$
 4y73_altA_chainA
@@ -4325,121 +6285,32 @@ $$$$
   2 15  1  0
 V   15 *
 M  END
->  <kinase>  (61) 
+>  <kinase>  (88) 
 IRAK4
 
->  <family>  (61) 
+>  <family>  (88) 
 IRAK
 
->  <group>  (61) 
+>  <group>  (88) 
 TKL
 
->  <complex_pdb>  (61) 
+>  <complex_pdb>  (88) 
 4y73
 
->  <ligand_pdb>  (61) 
+>  <ligand_pdb>  (88) 
 XPY
 
->  <alt>  (61) 
+>  <alt>  (88) 
 A
 
->  <chain>  (61) 
+>  <chain>  (88) 
 A
 
->  <atom.prop.subpocket>  (61) 
+>  <atom.prop.subpocket>  (88) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (61) 
-14 14 14 8 8 8 8 8 8 8 8 14 14 14 na
-
-$$$$
-3qgy_altA_chainB
-     RDKit          3D
-
- 27 28  0  0  0  0  0  0  0  0999 V2000
-   -2.1829   14.5837   50.0081 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3941   15.6074   50.3173 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1150   14.4743   49.8192 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.9497   14.2644   48.7654 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6237   13.5906   51.1354 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1186   13.8595   52.0631 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3403   12.5782   50.8476 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.1659   13.6411   51.3633 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.4287   14.6032   51.8031 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.4507   12.8399   52.0453 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.9406   13.4667   50.0237 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -5.9988   13.6613   50.1983 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.8128   12.4433   49.6709 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.4197   14.4457   48.9342 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.9223   14.2387   47.9894 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -4.6267   15.4716   49.2387 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9108   16.9897   46.3641 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9554   18.0657   46.2837 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2445   16.2251   45.3597 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1124   14.7952   45.5104 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5539   14.2254   44.7825 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.7182   14.1346   46.6186 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6786   13.0582   46.6962 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3825   14.9079   47.6331 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.5157   16.3330   47.4706 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.0781   16.9057   48.1932 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.5881   16.9099   44.2488 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  1  0
-  1  3  1  0
-  1  4  1  0
-  1  5  1  0
-  4 14  1  0
-  4 24  1  0
-  5  6  1  0
-  5  7  1  0
-  5  8  1  0
-  8  9  1  0
-  8 10  1  0
-  8 11  1  0
- 11 12  1  0
- 11 13  1  0
- 11 14  1  0
- 14 15  1  0
- 14 16  1  0
- 17 18  1  0
- 17 19  2  0
- 17 25  1  0
- 19 20  1  0
- 20 21  1  0
- 20 22  2  0
- 22 23  1  0
- 22 24  1  0
- 24 25  2  0
- 25 26  1  0
- 19 27  1  0
-V   27 *
-M  END
->  <kinase>  (62) 
-ITK
-
->  <family>  (62) 
-Tec
-
->  <group>  (62) 
-TK
-
->  <complex_pdb>  (62) 
-3qgy
-
->  <ligand_pdb>  (62) 
-L7O
-
->  <alt>  (62) 
-A
-
->  <chain>  (62) 
-B
-
->  <atom.prop.subpocket>  (62) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
-
->  <atom.prop.environment>  (62) 
-5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 16 16 16 16 16 16 16 16 16 16 na
+>  <atom.prop.environment>  (88) 
+16 16 14 8 8 8 8 8 8 8 8 9 16 16 na
 
 $$$$
 4m0z_altA_chainA
@@ -4490,36 +6361,110 @@ $$$$
  18 19  1  0
  18 20  1  0
  18 21  1  0
-  1 22  1  0
+ 22  1  1  0
 V   22 *
 M  END
->  <kinase>  (63) 
+>  <kinase>  (89) 
 ITK
 
->  <family>  (63) 
+>  <family>  (89) 
 Tec
 
->  <group>  (63) 
+>  <group>  (89) 
 TK
 
->  <complex_pdb>  (63) 
+>  <complex_pdb>  (89) 
 4m0z
 
->  <ligand_pdb>  (63) 
+>  <ligand_pdb>  (89) 
 M0Z
 
->  <alt>  (63) 
+>  <alt>  (89) 
 A
 
->  <chain>  (63) 
+>  <chain>  (89) 
 A
 
->  <atom.prop.subpocket>  (63) 
+>  <atom.prop.subpocket>  (89) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (63) 
+>  <atom.prop.environment>  (89) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 na
 
+$$$$
+4m14_chainA
+     RDKit          3D
+
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -1.8116   15.9014   46.8045 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6553   16.7539   47.4907 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8632   17.7369   47.0947 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2335   16.3570   48.6786 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.9097   17.0179   49.2003 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9437   15.1111   49.1971 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3823   14.8020   50.1344 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5243   14.6373   47.3068 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0947   14.2599   48.5202 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8456   13.0163   49.0606 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3109   12.7304   49.9924 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0033   12.1367   48.4134 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7916   11.1712   48.8486 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4316   12.4922   47.2093 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6980   13.7372   46.6555 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2563   14.0062   45.7074 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4314   11.5419   46.6684 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.7798   11.7482   45.2990 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2483   16.3986   45.6091 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6  9  1  0
+  8  9  2  0
+  8 15  1  0
+  9 10  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  2  0
+ 14 17  1  0
+ 15 16  1  0
+ 17 18  1  0
+ 19  1  1  0
+V   18 *
+V   19 *
+M  END
+>  <kinase>  (90) 
+ITK
+
+>  <family>  (90) 
+Tec
+
+>  <group>  (90) 
+TK
+
+>  <complex_pdb>  (90) 
+4m14
+
+>  <ligand_pdb>  (90) 
+QWS
+
+>  <alt>  (90) 
+ 
+
+>  <chain>  (90) 
+A
+
+>  <atom.prop.subpocket>  (90) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE FP AP
+
+>  <atom.prop.environment>  (90) 
+16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 3 na na
+
 $$$$
 5e1e_altB_chainA
      RDKit          3D
@@ -4564,34 +6509,34 @@ $$$$
  14 16  2  0
  16 17  1  0
  17 19  1  0
- 16 20  1  0
+ 20 16  1  0
 V   20 *
 M  END
->  <kinase>  (64) 
+>  <kinase>  (91) 
 JAK1
 
->  <family>  (64) 
+>  <family>  (91) 
 JakA
 
->  <group>  (64) 
+>  <group>  (91) 
 TK
 
->  <complex_pdb>  (64) 
+>  <complex_pdb>  (91) 
 5e1e
 
->  <ligand_pdb>  (64) 
+>  <ligand_pdb>  (91) 
 5JG
 
->  <alt>  (64) 
+>  <alt>  (91) 
 B
 
->  <chain>  (64) 
+>  <chain>  (91) 
 A
 
->  <atom.prop.subpocket>  (64) 
+>  <atom.prop.subpocket>  (91) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (64) 
+>  <atom.prop.environment>  (91) 
 3 3 3 3 16 16 16 16 3 3 3 3 3 16 16 16 16 3 16 na
 
 $$$$
@@ -4633,33 +6578,99 @@ $$$$
   1 16  1  0
 V   16 *
 M  END
->  <kinase>  (65) 
+>  <kinase>  (92) 
 JAK1
 
->  <family>  (65) 
+>  <family>  (92) 
 JakA
 
->  <group>  (65) 
+>  <group>  (92) 
 TK
 
->  <complex_pdb>  (65) 
+>  <complex_pdb>  (92) 
 5wo4
 
->  <ligand_pdb>  (65) 
+>  <ligand_pdb>  (92) 
 B7V
 
->  <alt>  (65) 
+>  <alt>  (92) 
 A
 
->  <chain>  (65) 
+>  <chain>  (92) 
 A
 
->  <atom.prop.subpocket>  (65) 
+>  <atom.prop.subpocket>  (92) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (65) 
+>  <atom.prop.environment>  (92) 
 16 16 16 16 3 3 3 3 16 16 16 16 16 16 3 na
 
+$$$$
+6w8l_chainA
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+   -1.8995   15.1953   46.3232 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9516   15.8372   44.3920 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4661   15.7896   43.4285 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9453   16.5111   46.2380 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3794   17.1542   46.9892 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6154   12.8103   43.7446 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3518   11.7558   43.6634 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2389   13.3469   42.8737 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9726   13.3815   44.9873 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1081   13.2656   44.9047 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3326   12.8247   45.8525 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3605   16.9684   45.0520 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2762   14.7979   45.1848 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0249   12.9292   43.7823 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3359   12.4510   44.5545 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2135   18.3179   44.6955 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  4  2  0
+  1 13  1  0
+  2  3  1  0
+  2 12  2  0
+  2 13  1  0
+  4  5  1  0
+  4 12  1  0
+  6  7  1  0
+  6  8  1  0
+  6  9  1  0
+  6 14  1  0
+  9 10  1  0
+  9 11  1  0
+  9 13  1  0
+ 14 15  1  0
+ 16 12  1  0
+V   16 *
+M  END
+>  <kinase>  (93) 
+JAK1
+
+>  <family>  (93) 
+JakA
+
+>  <group>  (93) 
+TK
+
+>  <complex_pdb>  (93) 
+6w8l
+
+>  <ligand_pdb>  (93) 
+R4S
+
+>  <alt>  (93) 
+ 
+
+>  <chain>  (93) 
+A
+
+>  <atom.prop.subpocket>  (93) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (93) 
+16 16 16 16 16 4 4 4 8 4 4 16 9 3 3 na
+
 $$$$
 2xa4_altA_chainB
      RDKit          3D
@@ -4688,31 +6699,31 @@ $$$$
 V    9 *
 V   10 *
 M  END
->  <kinase>  (66) 
+>  <kinase>  (94) 
 JAK2
 
->  <family>  (66) 
+>  <family>  (94) 
 JakA
 
->  <group>  (66) 
+>  <group>  (94) 
 TK
 
->  <complex_pdb>  (66) 
+>  <complex_pdb>  (94) 
 2xa4
 
->  <ligand_pdb>  (66) 
+>  <ligand_pdb>  (94) 
 AZ5
 
->  <alt>  (66) 
+>  <alt>  (94) 
 A
 
->  <chain>  (66) 
+>  <chain>  (94) 
 B
 
->  <atom.prop.subpocket>  (66) 
+>  <atom.prop.subpocket>  (94) 
 SE SE SE SE SE SE SE SE AP FP
 
->  <atom.prop.environment>  (66) 
+>  <atom.prop.environment>  (94) 
 14 14 14 14 14 14 14 14 na na
 
 $$$$
@@ -4751,37 +6762,37 @@ $$$$
  11 12  1  0
  12 13  1  0
  13 14  1  0
-  1 15  1  0
+ 15  1  1  0
  10 16  1  0
 V   15 *
 V   16 *
 M  END
->  <kinase>  (67) 
+>  <kinase>  (95) 
 JAK2
 
->  <family>  (67) 
+>  <family>  (95) 
 JakA
 
->  <group>  (67) 
+>  <group>  (95) 
 TK
 
->  <complex_pdb>  (67) 
+>  <complex_pdb>  (95) 
 4c61
 
->  <ligand_pdb>  (67) 
+>  <ligand_pdb>  (95) 
 LMM
 
->  <alt>  (67) 
+>  <alt>  (95) 
  
 
->  <chain>  (67) 
+>  <chain>  (95) 
 B
 
->  <atom.prop.subpocket>  (67) 
+>  <atom.prop.subpocket>  (95) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE FP AP
 
->  <atom.prop.environment>  (67) 
-16 16 16 16 8 8 8 8 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (95) 
+14 14 14 16 8 8 8 8 14 14 14 14 14 14 na na
 
 $$$$
 5cf5_chainA
@@ -4819,34 +6830,34 @@ $$$$
  12 13  1  0
  12 14  1  0
  12 15  1  0
-  1 16  1  0
+ 16  1  1  0
 V   16 *
 M  END
->  <kinase>  (68) 
+>  <kinase>  (96) 
 JAK2
 
->  <family>  (68) 
+>  <family>  (96) 
 JakA
 
->  <group>  (68) 
+>  <group>  (96) 
 TK
 
->  <complex_pdb>  (68) 
+>  <complex_pdb>  (96) 
 5cf5
 
->  <ligand_pdb>  (68) 
+>  <ligand_pdb>  (96) 
 50W
 
->  <alt>  (68) 
+>  <alt>  (96) 
  
 
->  <chain>  (68) 
+>  <chain>  (96) 
 A
 
->  <atom.prop.subpocket>  (68) 
+>  <atom.prop.subpocket>  (96) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (68) 
+>  <atom.prop.environment>  (96) 
 5 5 14 14 14 14 14 8 8 8 8 8 8 8 8 na
 
 $$$$
@@ -4887,106 +6898,252 @@ $$$$
  13 14  1  0
  13 15  1  0
  13 16  1  0
-  3 17  1  0
+ 17  3  1  0
 V   17 *
 M  END
->  <kinase>  (69) 
+>  <kinase>  (97) 
 JAK2
 
->  <family>  (69) 
+>  <family>  (97) 
 JakA
 
->  <group>  (69) 
+>  <group>  (97) 
 TK
 
->  <complex_pdb>  (69) 
+>  <complex_pdb>  (97) 
 5cf8
 
->  <ligand_pdb>  (69) 
+>  <ligand_pdb>  (97) 
 50V
 
->  <alt>  (69) 
+>  <alt>  (97) 
 A
 
->  <chain>  (69) 
+>  <chain>  (97) 
 A
 
->  <atom.prop.subpocket>  (69) 
+>  <atom.prop.subpocket>  (97) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (69) 
-14 14 5 5 14 14 14 14 8 8 8 8 8 8 8 8 na
+>  <atom.prop.environment>  (97) 
+14 14 5 5 14 14 9 14 8 8 8 8 8 8 8 8 na
 
 $$$$
-5ut2_altB_chainA
+6wtq_altA_chainA
      RDKit          3D
 
- 18 19  0  0  0  0  0  0  0  0999 V2000
-   -1.3239   16.6570   45.9797 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1584   17.1187   46.9935 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.5486   18.1248   46.9528 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.4899   16.2926   48.0542 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.1416   16.6562   48.8349 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9909   15.0042   48.1192 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.2580   14.3564   48.9410 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.1479   14.5552   47.1225 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.8290   15.3604   46.0342 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.2031   14.9814   45.2399 H   0  0  0  0  0  0  0  0  0  0  0  0
-    0.0877   11.4137   46.5619 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.4421   10.5879   45.9629 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.0159   11.4316   47.9463 C   0  0  0  0  0  0  0  0  0  0  0  0
-    0.2483   10.6213   48.6097 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.6739   13.3314   47.1785 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3247   12.5879   46.1035 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.4884   12.5982   48.3118 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0260   17.6009   44.9140 *   0  0  0  0  0  0  0  0  0  0  0  0
-  1  2  2  0
-  1  9  1  0
-  2  3  1  0
-  2  4  1  0
-  4  5  1  0
-  4  6  2  0
-  6  7  1  0
-  6  8  1  0
-  8  9  2  0
-  8 15  1  0
-  9 10  1  0
+ 19 19  0  0  0  0  0  0  0  0999 V2000
+   -1.3490   17.1417   45.9077 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1133   13.0927   47.5884 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8770   11.6090   49.6037 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1981   11.7853   50.6303 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9847   10.9829   49.6045 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6733   11.1059   49.0552 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8348   14.4780   47.0077 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1461   14.6800   45.8095 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7810   13.8182   45.2706 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9080   15.9623   45.2747 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3666   16.0441   44.3437 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2780   15.6482   47.6356 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8232   15.5625   48.5640 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0440   16.9248   47.1105 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4141   17.7816   47.6539 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5717   12.9005   48.9546 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6935   13.7318   49.5151 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9828   12.0962   46.8777 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1463   18.4867   45.4045 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1 10  2  0
+  1 14  1  0
+  2  7  1  0
+  2 16  1  0
+  2 18  2  0
+  3  4  1  0
+  3  5  1  0
+  3  6  1  0
+  3 16  1  0
+  7  8  2  0
+  7 12  1  0
+  8  9  1  0
+  8 10  1  0
+ 10 11  1  0
+ 12 13  1  0
+ 12 14  2  0
+ 14 15  1  0
+ 16 17  1  0
+  1 19  1  0
+V   19 *
+M  END
+>  <kinase>  (98) 
+JAK2
+
+>  <family>  (98) 
+JakA
+
+>  <group>  (98) 
+TK
+
+>  <complex_pdb>  (98) 
+6wtq
+
+>  <ligand_pdb>  (98) 
+U8J
+
+>  <alt>  (98) 
+A
+
+>  <chain>  (98) 
+A
+
+>  <atom.prop.subpocket>  (98) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (98) 
+16 1 5 5 5 5 16 16 16 16 16 16 16 16 16 5 5 1 na
+
+$$$$
+6bs0_altA_chainA
+     RDKit          3D
+
+ 17 18  0  0  0  0  0  0  0  0999 V2000
+   -0.4098   13.2124   45.7847 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4498   12.3522   46.3124 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1853   13.3417   44.5982 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6748   12.5563   44.0414 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6831   15.3153   45.2075 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1088   16.5975   45.3828 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8183   16.8353   46.5804 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1795   17.8339   46.7771 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0721   15.8399   47.5176 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9403   14.3560   46.1802 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0603   14.6838   44.2035 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4574   15.1368   43.3071 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8199   16.1156   48.7157 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9981   15.3768   49.3810 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1667   17.0478   48.8913 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6368   14.6358   47.3129 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8784   17.6569   44.4548 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1 10  1  0
+  3  4  1  0
+  3 11  2  0
+  5  6  1  0
+  5 10  2  0
+  5 11  1  0
+  6  7  2  0
+  7  8  1  0
+  7  9  1  0
+  9 13  1  0
+  9 16  2  0
+ 10 16  1  0
  11 12  1  0
- 11 13  1  0
- 11 16  2  0
  13 14  1  0
- 13 17  2  0
- 15 16  1  0
- 15 17  1  0
-  1 18  1  0
-V   18 *
+ 13 15  1  0
+ 17  6  1  0
+V   17 *
 M  END
->  <kinase>  (70) 
+>  <kinase>  (99) 
 JAK2-b
 
->  <family>  (70) 
+>  <family>  (99) 
 JakB
 
->  <group>  (70) 
+>  <group>  (99) 
 TK
 
->  <complex_pdb>  (70) 
-5ut2
+>  <complex_pdb>  (99) 
+6bs0
 
->  <ligand_pdb>  (70) 
-3YT
+>  <ligand_pdb>  (99) 
+E4V
 
->  <alt>  (70) 
-B
+>  <alt>  (99) 
+A
 
->  <chain>  (70) 
+>  <chain>  (99) 
 A
 
->  <atom.prop.subpocket>  (70) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+>  <atom.prop.subpocket>  (99) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (70) 
-16 16 16 16 16 16 16 16 16 16 9 9 9 9 9 9 9 na
+>  <atom.prop.environment>  (99) 
+14 14 14 14 14 16 14 14 14 14 14 14 5 5 5 14 na
+
+$$$$
+7uyv_altA_chainA
+     RDKit          3D
+
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+   -1.5354   12.2099   50.4855 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6915   11.2940   51.0556 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3318   12.9189   50.7119 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5734   12.6460   50.7548 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5488   11.8884   48.9907 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5110   11.4518   48.7228 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7526   11.1789   48.7657 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4495   13.1318   46.8654 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2335   14.3697   46.0823 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5622   15.6423   46.5850 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9814   15.7528   47.5741 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3385   16.7421   45.7909 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5887   17.7268   46.1572 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5042   15.3746   44.0641 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6984   14.2899   44.7891 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4408   13.3243   44.3795 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7876   16.5959   44.5077 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7393   12.1106   46.2650 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3388   13.1202   48.2162 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1071   13.9755   48.7007 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5993   17.7506   43.7505 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  5  7  1  0
+  5 19  1  0
+  8  9  1  0
+  8 18  2  0
+  8 19  1  0
+  9 10  2  0
+  9 15  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 12 13  1  0
+ 12 17  2  0
+ 14 15  2  0
+ 14 17  1  0
+ 15 16  1  0
+ 19 20  1  0
+ 21 17  1  0
+V   21 *
+M  END
+>  <kinase>  (100) 
+JAK3
+
+>  <family>  (100) 
+JakA
+
+>  <group>  (100) 
+TK
+
+>  <complex_pdb>  (100) 
+7uyv
+
+>  <ligand_pdb>  (100) 
+OV5
+
+>  <alt>  (100) 
+A
+
+>  <chain>  (100) 
+A
+
+>  <atom.prop.subpocket>  (100) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (100) 
+4 4 4 4 4 4 4 1 16 14 14 14 14 14 14 14 14 1 5 5 na
 
 $$$$
 2gmx_chainB
@@ -5035,31 +7192,31 @@ $$$$
   4 20  1  0
 V   20 *
 M  END
->  <kinase>  (71) 
+>  <kinase>  (101) 
 JNK1
 
->  <family>  (71) 
+>  <family>  (101) 
 MAPK
 
->  <group>  (71) 
+>  <group>  (101) 
 CMGC
 
->  <complex_pdb>  (71) 
+>  <complex_pdb>  (101) 
 2gmx
 
->  <ligand_pdb>  (71) 
+>  <ligand_pdb>  (101) 
 877
 
->  <alt>  (71) 
+>  <alt>  (101) 
  
 
->  <chain>  (71) 
+>  <chain>  (101) 
 B
 
->  <atom.prop.subpocket>  (71) 
+>  <atom.prop.subpocket>  (101) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (71) 
+>  <atom.prop.environment>  (101) 
 16 16 16 16 16 16 16 16 3 3 3 3 3 3 3 3 3 3 16 na
 
 $$$$
@@ -5115,32 +7272,32 @@ $$$$
  10 23  1  0
 V   23 *
 M  END
->  <kinase>  (72) 
+>  <kinase>  (102) 
 JNK1
 
->  <family>  (72) 
+>  <family>  (102) 
 MAPK
 
->  <group>  (72) 
+>  <group>  (102) 
 CMGC
 
->  <complex_pdb>  (72) 
+>  <complex_pdb>  (102) 
 2h96
 
->  <ligand_pdb>  (72) 
+>  <ligand_pdb>  (102) 
 893
 
->  <alt>  (72) 
+>  <alt>  (102) 
  
 
->  <chain>  (72) 
+>  <chain>  (102) 
 A
 
->  <atom.prop.subpocket>  (72) 
+>  <atom.prop.subpocket>  (102) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (72) 
-16 16 16 16 16 16 16 16 16 8 8 8 3 3 3 3 3 3 3 3 3 3 na
+>  <atom.prop.environment>  (102) 
+16 16 16 16 16 16 16 16 16 4 4 4 3 3 3 3 3 3 3 3 3 3 na
 
 $$$$
 4e73_altA_chainA
@@ -5184,36 +7341,36 @@ $$$$
  14 16  1  0
  16 17  1  0
  16 18  1  0
-  1 19  1  0
+ 19  1  1  0
 V   18 *
 V   19 *
 M  END
->  <kinase>  (73) 
+>  <kinase>  (103) 
 JNK1
 
->  <family>  (73) 
+>  <family>  (103) 
 MAPK
 
->  <group>  (73) 
+>  <group>  (103) 
 CMGC
 
->  <complex_pdb>  (73) 
+>  <complex_pdb>  (103) 
 4e73
 
->  <ligand_pdb>  (73) 
+>  <ligand_pdb>  (103) 
 0NR
 
->  <alt>  (73) 
+>  <alt>  (103) 
 A
 
->  <chain>  (73) 
+>  <chain>  (103) 
 A
 
->  <atom.prop.subpocket>  (73) 
+>  <atom.prop.subpocket>  (103) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE X-SE AP
 
->  <atom.prop.environment>  (73) 
-8 8 8 16 16 16 16 16 16 16 16 16 16 6 6 5 5 na na
+>  <atom.prop.environment>  (103) 
+8 8 8 16 16 16 16 16 16 16 16 16 16 1 1 5 5 na na
 
 $$$$
 3e7o_chainA
@@ -5248,32 +7405,32 @@ $$$$
  11 13  1  0
 V   13 *
 M  END
->  <kinase>  (74) 
+>  <kinase>  (104) 
 JNK2
 
->  <family>  (74) 
+>  <family>  (104) 
 MAPK
 
->  <group>  (74) 
+>  <group>  (104) 
 CMGC
 
->  <complex_pdb>  (74) 
+>  <complex_pdb>  (104) 
 3e7o
 
->  <ligand_pdb>  (74) 
+>  <ligand_pdb>  (104) 
 35F
 
->  <alt>  (74) 
+>  <alt>  (104) 
  
 
->  <chain>  (74) 
+>  <chain>  (104) 
 A
 
->  <atom.prop.subpocket>  (74) 
+>  <atom.prop.subpocket>  (104) 
 SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (74) 
-6 14 14 14 6 14 14 14 14 14 5 5 na
+>  <atom.prop.environment>  (104) 
+1 14 14 14 1 14 14 14 14 14 5 5 na
 
 $$$$
 3ac1_chainA
@@ -5305,49 +7462,130 @@ $$$$
   2 15  1  0
   2 16  1  0
   3  4  1  0
-  3 10  2  0
-  3 15  1  0
+  3 10  2  0
+  3 15  1  0
+  5  6  1  0
+  5  9  1  0
+  5 15  2  0
+  7  8  1  0
+  7  9  2  0
+  7 10  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 16 17  1  0
+ 16 18  1  0
+ 16 19  1  0
+ 20  9  1  0
+V   20 *
+M  END
+>  <kinase>  (105) 
+LCK
+
+>  <family>  (105) 
+Src
+
+>  <group>  (105) 
+TK
+
+>  <complex_pdb>  (105) 
+3ac1
+
+>  <ligand_pdb>  (105) 
+KZI
+
+>  <alt>  (105) 
+ 
+
+>  <chain>  (105) 
+A
+
+>  <atom.prop.subpocket>  (105) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (105) 
+3 3 16 16 16 16 16 16 16 16 3 3 3 3 16 3 3 3 3 na
+
+$$$$
+3ack_chainA
+     RDKit          3D
+
+ 23 24  0  0  0  0  0  0  0  0999 V2000
+   -0.8055   16.3610   45.6400 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5771   14.9875   45.4645 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2994   14.3542   46.5892 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8143   15.3414   47.3633 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5153   16.5210   46.7974 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8005   17.4791   47.2062 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0835   14.2335   44.4069 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2689   14.7075   43.5027 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0567   12.8463   44.5479 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6654   12.2319   45.6486 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6533   11.1541   45.7171 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2883   12.9660   46.6622 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7563   12.4598   47.4935 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5429   15.1248   48.6406 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6296   14.0553   48.8325 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5384   15.5631   48.5699 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9950   15.5971   49.4560 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5289   12.0756   43.5709 O   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8309   11.5199   43.7585 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1120   10.9466   42.8751 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8243   10.8649   44.6297 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5502   12.3240   43.9139 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4320   17.4008   44.7486 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  5  2  0
+  2  3  2  0
+  2  7  1  0
+  3  4  1  0
+  3 12  1  0
+  4  5  1  0
+  4 14  1  0
   5  6  1  0
-  5  9  1  0
-  5 15  2  0
   7  8  1  0
   7  9  2  0
-  7 10  1  0
- 11 12  1  0
- 11 13  1  0
- 11 14  1  0
- 16 17  1  0
- 16 18  1  0
- 16 19  1  0
-  9 20  1  0
-V   20 *
+  9 10  1  0
+  9 18  1  0
+ 10 11  1  0
+ 10 12  2  0
+ 12 13  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18 19  1  0
+ 19 20  1  0
+ 19 21  1  0
+ 19 22  1  0
+ 23  1  1  0
+V   23 *
 M  END
->  <kinase>  (75) 
+>  <kinase>  (106) 
 LCK
 
->  <family>  (75) 
+>  <family>  (106) 
 Src
 
->  <group>  (75) 
+>  <group>  (106) 
 TK
 
->  <complex_pdb>  (75) 
-3ac1
+>  <complex_pdb>  (106) 
+3ack
 
->  <ligand_pdb>  (75) 
-KZI
+>  <ligand_pdb>  (106) 
+KSR
 
->  <alt>  (75) 
+>  <alt>  (106) 
  
 
->  <chain>  (75) 
+>  <chain>  (106) 
 A
 
->  <atom.prop.subpocket>  (75) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+>  <atom.prop.subpocket>  (106) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (75) 
-3 3 16 16 16 16 16 16 16 16 3 3 3 3 16 3 3 3 3 na
+>  <atom.prop.environment>  (106) 
+16 16 16 9 16 16 16 16 16 16 16 16 16 8 8 8 8 3 3 3 3 3 na
 
 $$$$
 3ad4_chainA
@@ -5392,35 +7630,35 @@ $$$$
  15 16  1  0
  15 17  1  0
  15 18  1  0
-  1 19  1  0
+ 19  1  1  0
 V   19 *
 M  END
->  <kinase>  (76) 
+>  <kinase>  (107) 
 LCK
 
->  <family>  (76) 
+>  <family>  (107) 
 Src
 
->  <group>  (76) 
+>  <group>  (107) 
 TK
 
->  <complex_pdb>  (76) 
+>  <complex_pdb>  (107) 
 3ad4
 
->  <ligand_pdb>  (76) 
+>  <ligand_pdb>  (107) 
 KBM
 
->  <alt>  (76) 
+>  <alt>  (107) 
  
 
->  <chain>  (76) 
+>  <chain>  (107) 
 A
 
->  <atom.prop.subpocket>  (76) 
+>  <atom.prop.subpocket>  (107) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (76) 
-14 14 14 14 14 14 14 14 14 14 14 14 14 3 3 3 3 3 na
+>  <atom.prop.environment>  (107) 
+14 16 16 16 16 16 16 16 16 16 16 16 16 3 3 3 3 3 na
 
 $$$$
 5xy1_chainA
@@ -5460,31 +7698,31 @@ $$$$
   1 15  1  0
 V   15 *
 M  END
->  <kinase>  (77) 
+>  <kinase>  (108) 
 LYN
 
->  <family>  (77) 
+>  <family>  (108) 
 Src
 
->  <group>  (77) 
+>  <group>  (108) 
 TK
 
->  <complex_pdb>  (77) 
+>  <complex_pdb>  (108) 
 5xy1
 
->  <ligand_pdb>  (77) 
+>  <ligand_pdb>  (108) 
 8H0
 
->  <alt>  (77) 
+>  <alt>  (108) 
  
 
->  <chain>  (77) 
+>  <chain>  (108) 
 A
 
->  <atom.prop.subpocket>  (77) 
+>  <atom.prop.subpocket>  (108) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (77) 
+>  <atom.prop.environment>  (108) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
@@ -5547,35 +7785,35 @@ $$$$
  22 24  2  0
  24 25  1  0
  26 27  1  0
- 26 28  1  0
+ 28 26  1  0
 V   28 *
 M  END
->  <kinase>  (78) 
+>  <kinase>  (109) 
 MAP3K5
 
->  <family>  (78) 
+>  <family>  (109) 
 STE11
 
->  <group>  (78) 
+>  <group>  (109) 
 STE
 
->  <complex_pdb>  (78) 
+>  <complex_pdb>  (109) 
 3vw6
 
->  <ligand_pdb>  (78) 
+>  <ligand_pdb>  (109) 
 IM6
 
->  <alt>  (78) 
+>  <alt>  (109) 
 B
 
->  <chain>  (78) 
+>  <chain>  (109) 
 B
 
->  <atom.prop.subpocket>  (78) 
+>  <atom.prop.subpocket>  (109) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (78) 
-16 16 16 16 16 16 8 8 8 8 6 6 8 8 8 8 8 8 8 8 8 16 16 16 16 5 5 na
+>  <atom.prop.environment>  (109) 
+16 16 16 16 16 16 8 8 8 8 1 1 8 8 8 8 8 8 8 8 8 16 16 16 16 5 5 na
 
 $$$$
 5v19_chainB
@@ -5614,32 +7852,32 @@ $$$$
   4 15  1  0
 V   15 *
 M  END
->  <kinase>  (79) 
+>  <kinase>  (110) 
 MAP3K5
 
->  <family>  (79) 
+>  <family>  (110) 
 STE11
 
->  <group>  (79) 
+>  <group>  (110) 
 STE
 
->  <complex_pdb>  (79) 
+>  <complex_pdb>  (110) 
 5v19
 
->  <ligand_pdb>  (79) 
+>  <ligand_pdb>  (110) 
 8V4
 
->  <alt>  (79) 
+>  <alt>  (110) 
  
 
->  <chain>  (79) 
+>  <chain>  (110) 
 B
 
->  <atom.prop.subpocket>  (79) 
+>  <atom.prop.subpocket>  (110) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (79) 
-9 9 9 9 8 8 8 8 8 8 8 9 9 9 na
+>  <atom.prop.environment>  (110) 
+9 16 16 16 8 8 8 8 8 8 8 16 16 16 na
 
 $$$$
 5vio_chainD
@@ -5691,35 +7929,35 @@ $$$$
  16 17  1  0
  18 19  1  0
  21 22  1  0
- 14 23  1  0
+ 23 14  1  0
 V   23 *
 M  END
->  <kinase>  (80) 
+>  <kinase>  (111) 
 MAP3K5
 
->  <family>  (80) 
+>  <family>  (111) 
 STE11
 
->  <group>  (80) 
+>  <group>  (111) 
 STE
 
->  <complex_pdb>  (80) 
+>  <complex_pdb>  (111) 
 5vio
 
->  <ligand_pdb>  (80) 
+>  <ligand_pdb>  (111) 
 9E4
 
->  <alt>  (80) 
+>  <alt>  (111) 
  
 
->  <chain>  (80) 
+>  <chain>  (111) 
 D
 
->  <atom.prop.subpocket>  (80) 
+>  <atom.prop.subpocket>  (111) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (80) 
-16 16 5 5 5 5 3 3 3 3 16 16 6 16 16 16 16 16 3 6 5 5 na
+>  <atom.prop.environment>  (111) 
+16 16 5 5 5 5 3 3 3 3 16 16 1 16 16 16 16 16 3 1 5 5 na
 
 $$$$
 3kc3_chainE
@@ -5756,107 +7994,246 @@ $$$$
  11 12  1  0
  12 14  1  0
  13 14  1  0
- 13 15  1  0
+ 15 13  1  0
 V   15 *
 M  END
->  <kinase>  (81) 
+>  <kinase>  (112) 
 MAPKAPK2
 
->  <family>  (81) 
+>  <family>  (112) 
 MAPKAPK
 
->  <group>  (81) 
+>  <group>  (112) 
 CAMK
 
->  <complex_pdb>  (81) 
+>  <complex_pdb>  (112) 
 3kc3
 
->  <ligand_pdb>  (81) 
+>  <ligand_pdb>  (112) 
 MK2
 
->  <alt>  (81) 
+>  <alt>  (112) 
  
 
->  <chain>  (81) 
+>  <chain>  (112) 
 E
 
->  <atom.prop.subpocket>  (81) 
+>  <atom.prop.subpocket>  (112) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (81) 
+>  <atom.prop.environment>  (112) 
 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
 
 $$$$
-5mah_altA_chainA
+4zy4_chainA
      RDKit          3D
 
- 19 19  0  0  0  0  0  0  0  0999 V2000
-   -1.7680   16.8534   45.4115 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3776   16.6166   46.6480 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.6996   17.4591   47.2422 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.5818   15.3340   47.1353 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -3.0709   15.2021   48.0891 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.1684   14.2117   46.4188 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.3638   12.8951   46.9070 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2468   13.4582   49.1195 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.0098   12.9114   50.0321 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9075   14.2921   49.3567 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.3273   13.8383   48.6744 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.9253   12.5452   48.1552 N   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.0735   11.5899   48.4474 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -2.8647   12.0398   46.1784 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.5730   14.4240   45.1722 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.2562   13.5728   44.5878 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.3764   15.7192   44.6602 C   0  0  0  0  0  0  0  0  0  0  0  0
-   -0.9241   15.8493   43.6881 H   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6239   18.1739   45.0779 *   0  0  0  0  0  0  0  0  0  0  0  0
+ 13 14  0  0  0  0  0  0  0  0999 V2000
+   -2.0075   16.3766   45.7450 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9091   14.9952   45.5739 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8112   15.3639   43.5596 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4811   14.2809   46.6331 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4863   13.2012   46.6582 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0137   15.0056   47.5997 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.4924   14.6018   48.4796 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8355   16.7129   47.2553 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3005   14.5314   44.4590 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8975   16.6831   43.6951 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4760   17.2320   44.7591 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5675   18.6131   44.9090 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1933   14.8542   42.4255 *   0  0  0  0  0  0  0  0  0  0  0  0
   1  2  2  0
-  1 17  1  0
-  2  3  1  0
+  1  8  1  0
+  1 11  1  0
   2  4  1  0
+  2  9  1  0
+  3  9  2  0
+  3 10  1  0
   4  5  1  0
   4  6  2  0
   6  7  1  0
-  6 15  1  0
-  7 12  1  0
-  7 14  2  0
-  8  9  1  0
-  8 10  1  0
-  8 11  1  0
-  8 12  1  0
+  6  8  1  0
+ 10 11  2  0
+ 11 12  1  0
+  3 13  1  0
+V   12 *
+V   13 *
+M  END
+>  <kinase>  (113) 
+PAK1
+
+>  <family>  (113) 
+STE20
+
+>  <group>  (113) 
+STE
+
+>  <complex_pdb>  (113) 
+4zy4
+
+>  <ligand_pdb>  (113) 
+4T3
+
+>  <alt>  (113) 
+ 
+
+>  <chain>  (113) 
+A
+
+>  <atom.prop.subpocket>  (113) 
+SE SE SE SE SE SE SE SE SE SE SE AP FP
+
+>  <atom.prop.environment>  (113) 
+14 14 14 14 14 14 14 14 14 14 14 na na
+
+$$$$
+5i0b_chainA
+     RDKit          3D
+
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+   -1.9951   13.4710   43.2156 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5467   12.8428   42.4459 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5155   14.3056   42.7458 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7039   12.8822   43.7978 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9068   14.0039   44.1316 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1931   14.6062   43.5694 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1417   12.8390   44.7537 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8300   12.2157   45.3246 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6331   13.2253   45.4159 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3183   12.2438   43.9648 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5612   14.8866   45.2088 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1961   14.3852   46.2728 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6264   15.3466   46.9646 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3768   15.2013   48.2088 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5168   14.1426   48.4271 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.3493   15.6826   48.1050 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8245   15.6702   49.0231 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2828   16.5098   46.4097 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5062   17.4926   46.7977 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6107   16.2375   45.2842 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0902   17.2099   44.4727 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  5  7  1  0
+  5 11  1  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+ 11 12  2  0
+ 11 20  1  0
  12 13  1  0
- 15 16  1  0
- 15 17  2  0
- 17 18  1  0
-  1 19  1  0
-V   19 *
+ 13 14  1  0
+ 13 18  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18 19  1  0
+ 18 20  2  0
+ 20 21  1  0
+V   21 *
 M  END
->  <kinase>  (82) 
-MELK
+>  <kinase>  (114) 
+PAK4
 
->  <family>  (82) 
-CAMKL
+>  <family>  (114) 
+STE20
 
->  <group>  (82) 
-CAMK
+>  <group>  (114) 
+STE
 
->  <complex_pdb>  (82) 
-5mah
+>  <complex_pdb>  (114) 
+5i0b
 
->  <ligand_pdb>  (82) 
-7KD
+>  <ligand_pdb>  (114) 
+67U
 
->  <alt>  (82) 
+>  <alt>  (114) 
+ 
+
+>  <chain>  (114) 
 A
 
->  <chain>  (82) 
+>  <atom.prop.subpocket>  (114) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (114) 
+8 8 8 8 8 8 8 8 8 8 14 9 9 8 8 8 8 9 9 16 na
+
+$$$$
+5hng_chainA
+     RDKit          3D
+
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -1.5353   17.1578   45.6797 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9139   16.1887   44.8605 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4944   18.1535   44.0140 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3675   15.4175   47.1244 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7599   14.4466   46.3031 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8567   13.3996   46.5500 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.4600   14.8935   48.2438 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.8058   14.6145   49.2391 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.7221   14.1083   47.5347 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.9342   15.8277   47.9430 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2442   18.3848   45.1271 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5323   19.2860   45.4805 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2469   16.7658   46.8123 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7044   17.5101   47.4472 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2994   16.8659   43.8549 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0426   14.8227   45.1864 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5802   14.0721   44.5625 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0323   15.0651   48.2630 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0107   19.2248   43.1420 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1 11  1  0
+  1 13  1  0
+  2 15  1  0
+  2 16  1  0
+  3 11  1  0
+  3 15  2  0
+  4  5  1  0
+  4 13  2  0
+  4 18  1  0
+  5  6  1  0
+  5 16  2  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+  7 18  1  0
+ 11 12  1  0
+ 13 14  1  0
+ 16 17  1  0
+  3 19  1  0
+V   19 *
+M  END
+>  <kinase>  (115) 
+PDK1
+
+>  <family>  (115) 
+PDK1
+
+>  <group>  (115) 
+AGC
+
+>  <complex_pdb>  (115) 
+5hng
+
+>  <ligand_pdb>  (115) 
+62O
+
+>  <alt>  (115) 
+ 
+
+>  <chain>  (115) 
 A
 
->  <atom.prop.subpocket>  (82) 
+>  <atom.prop.subpocket>  (115) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (82) 
-16 16 16 16 16 16 6 5 5 5 5 5 5 6 16 16 16 16 na
+>  <atom.prop.environment>  (115) 
+16 16 14 16 16 16 3 3 3 3 16 16 16 16 16 16 16 3 na
 
 $$$$
 2yac_chainA
@@ -5893,37 +8270,112 @@ $$$$
  11 12  1  0
  11 13  1  0
  11 14  1  0
-  1 15  1  0
+ 15  1  1  0
   4 16  1  0
 V   15 *
 V   16 *
 M  END
->  <kinase>  (83) 
+>  <kinase>  (116) 
 PLK1
 
->  <family>  (83) 
+>  <family>  (116) 
+PLK
+
+>  <group>  (116) 
+Other
+
+>  <complex_pdb>  (116) 
+2yac
+
+>  <ligand_pdb>  (116) 
+937
+
+>  <alt>  (116) 
+ 
+
+>  <chain>  (116) 
+A
+
+>  <atom.prop.subpocket>  (116) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP FP
+
+>  <atom.prop.environment>  (116) 
+16 16 16 16 16 16 16 16 16 3 3 3 3 3 na na
+
+$$$$
+4j53_altC_chainA
+     RDKit          3D
+
+ 20 20  0  0  0  0  0  0  0  0999 V2000
+   -1.8854   12.6324   49.2346 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8759   12.9940   48.6693 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2573   12.2845   48.7313 N   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0662   12.6594   48.2566 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9026   14.2973   47.9056 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3638   15.4466   48.5547 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7014   15.3835   49.5786 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3921   16.6809   47.8887 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8436   17.8201   48.5212 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4552   18.1830   49.8490 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9404   19.1187   50.1266 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3732   18.3088   49.8895 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7558   17.3980   50.5429 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4815   14.3998   46.5730 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0299   13.3371   45.8763 F   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5174   15.6276   45.9183 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1870   15.6910   44.8921 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9731   16.7792   46.5644 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9878   18.0234   46.0060 *   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4195   11.0063   49.4331 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  2  3  1  0
+  2  5  1  0
+  3  4  1  0
+  5  6  2  0
+  5 14  1  0
+  6  7  1  0
+  6  8  1  0
+  8  9  1  0
+  8 18  2  0
+  9 10  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 14 15  1  0
+ 14 16  2  0
+ 16 17  1  0
+ 16 18  1  0
+ 18 19  1  0
+  3 20  1  0
+V   19 *
+V   20 *
+M  END
+>  <kinase>  (117) 
+PLK1
+
+>  <family>  (117) 
 PLK
 
->  <group>  (83) 
+>  <group>  (117) 
 Other
 
->  <complex_pdb>  (83) 
-2yac
+>  <complex_pdb>  (117) 
+4j53
 
->  <ligand_pdb>  (83) 
-937
+>  <ligand_pdb>  (117) 
+1J4
 
->  <alt>  (83) 
- 
+>  <alt>  (117) 
+C
 
->  <chain>  (83) 
+>  <chain>  (117) 
 A
 
->  <atom.prop.subpocket>  (83) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP FP
+>  <atom.prop.subpocket>  (117) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP X-SE
 
->  <atom.prop.environment>  (83) 
-16 16 16 16 16 16 16 16 16 3 3 3 3 3 na na
+>  <atom.prop.environment>  (117) 
+1 1 5 5 16 16 16 16 3 3 3 3 3 16 16 16 16 16 na na
 
 $$$$
 3fqh_chainB
@@ -5967,37 +8419,37 @@ $$$$
  14 15  1  0
  14 16  2  0
  16 17  1  0
-  1 18  1  0
+ 18  1  1  0
  17 19  1  0
 V   18 *
 V   19 *
 M  END
->  <kinase>  (84) 
+>  <kinase>  (118) 
 SYK
 
->  <family>  (84) 
+>  <family>  (118) 
 Syk
 
->  <group>  (84) 
+>  <group>  (118) 
 TK
 
->  <complex_pdb>  (84) 
+>  <complex_pdb>  (118) 
 3fqh
 
->  <ligand_pdb>  (84) 
+>  <ligand_pdb>  (118) 
 057
 
->  <alt>  (84) 
+>  <alt>  (118) 
  
 
->  <chain>  (84) 
+>  <chain>  (118) 
 B
 
->  <atom.prop.subpocket>  (84) 
+>  <atom.prop.subpocket>  (118) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE FP AP
 
->  <atom.prop.environment>  (84) 
-16 16 16 16 16 16 16 8 8 8 8 16 16 16 16 16 16 na na
+>  <atom.prop.environment>  (118) 
+16 16 16 16 16 16 9 8 8 8 8 16 16 16 16 16 16 na na
 
 $$$$
 4fz7_altB_chainA
@@ -6040,33 +8492,106 @@ $$$$
   9 17  1  0
 V   17 *
 M  END
->  <kinase>  (85) 
+>  <kinase>  (119) 
 SYK
 
->  <family>  (85) 
+>  <family>  (119) 
 Syk
 
->  <group>  (85) 
+>  <group>  (119) 
 TK
 
->  <complex_pdb>  (85) 
+>  <complex_pdb>  (119) 
 4fz7
 
->  <ligand_pdb>  (85) 
+>  <ligand_pdb>  (119) 
 0VH
 
->  <alt>  (85) 
+>  <alt>  (119) 
 B
 
->  <chain>  (85) 
+>  <chain>  (119) 
 A
 
->  <atom.prop.subpocket>  (85) 
+>  <atom.prop.subpocket>  (119) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (85) 
+>  <atom.prop.environment>  (119) 
 14 14 14 14 14 14 14 14 14 8 8 8 8 8 8 8 na
 
+$$$$
+4i0t_altB_chainA
+     RDKit          3D
+
+ 19 20  0  0  0  0  0  0  0  0999 V2000
+   -0.3929   16.1713   44.3632 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0865   15.8391   45.5078 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0765   14.5665   45.7090 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5546   14.0474   46.5266 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3529   13.9913   44.7030 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.0784   15.0089   43.8606 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.0207   12.5540   44.5214 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9497   11.9864   44.4682 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.5604   12.2201   45.3810 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8023   12.2811   43.2297 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1099   12.0667   42.4156 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4409   11.4146   43.4013 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.6790   13.4569   42.8237 C   0  0  0  0  0  0  0  0  0  0  0  0
+    2.1816   13.2077   41.8892 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.4225   13.6201   43.6038 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.8862   14.7660   42.6203 C   0  0  0  0  0  0  0  0  0  0  0  0
+    1.5746   15.5952   42.4576 H   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2244   14.6690   41.7596 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2057   17.5474   43.8151 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  6  2  0
+  2  3  2  0
+  3  4  1  0
+  3  5  1  0
+  5  6  1  0
+  5  7  1  0
+  6 16  1  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 13  1  0
+ 13 14  1  0
+ 13 15  1  0
+ 13 16  1  0
+ 16 17  1  0
+ 16 18  1  0
+ 19  1  1  0
+V   19 *
+M  END
+>  <kinase>  (120) 
+SYK
+
+>  <family>  (120) 
+Syk
+
+>  <group>  (120) 
+TK
+
+>  <complex_pdb>  (120) 
+4i0t
+
+>  <ligand_pdb>  (120) 
+1B6
+
+>  <alt>  (120) 
+B
+
+>  <chain>  (120) 
+A
+
+>  <atom.prop.subpocket>  (120) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (120) 
+14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na
+
 $$$$
 4xg7_altA_chainA
      RDKit          3D
@@ -6111,32 +8636,32 @@ $$$$
  17 18  1  0
 V   18 *
 M  END
->  <kinase>  (86) 
+>  <kinase>  (121) 
 SYK
 
->  <family>  (86) 
+>  <family>  (121) 
 Syk
 
->  <group>  (86) 
+>  <group>  (121) 
 TK
 
->  <complex_pdb>  (86) 
+>  <complex_pdb>  (121) 
 4xg7
 
->  <ligand_pdb>  (86) 
+>  <ligand_pdb>  (121) 
 X7G
 
->  <alt>  (86) 
+>  <alt>  (121) 
 A
 
->  <chain>  (86) 
+>  <chain>  (121) 
 A
 
->  <atom.prop.subpocket>  (86) 
+>  <atom.prop.subpocket>  (121) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (86) 
-8 8 8 8 9 9 9 9 9 9 9 9 9 9 9 9 9 na
+>  <atom.prop.environment>  (121) 
+8 8 8 8 9 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 5lmb_altA_chainB
@@ -6183,32 +8708,32 @@ $$$$
   6 19  1  0
 V   19 *
 M  END
->  <kinase>  (87) 
+>  <kinase>  (122) 
 SYK
 
->  <family>  (87) 
+>  <family>  (122) 
 Syk
 
->  <group>  (87) 
+>  <group>  (122) 
 TK
 
->  <complex_pdb>  (87) 
+>  <complex_pdb>  (122) 
 5lmb
 
->  <ligand_pdb>  (87) 
+>  <ligand_pdb>  (122) 
 6ZF
 
->  <alt>  (87) 
+>  <alt>  (122) 
 A
 
->  <chain>  (87) 
+>  <chain>  (122) 
 B
 
->  <atom.prop.subpocket>  (87) 
+>  <atom.prop.subpocket>  (122) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (87) 
-5 16 16 16 16 16 16 16 5 5 5 5 5 5 5 5 16 16 na
+>  <atom.prop.environment>  (122) 
+5 14 14 14 14 16 14 14 5 5 5 5 5 5 5 5 14 14 na
 
 $$$$
 5t68_chainB
@@ -6254,32 +8779,125 @@ $$$$
   9 18  1  0
 V   18 *
 M  END
->  <kinase>  (88) 
+>  <kinase>  (123) 
 SYK
 
->  <family>  (88) 
+>  <family>  (123) 
 Syk
 
->  <group>  (88) 
+>  <group>  (123) 
 TK
 
->  <complex_pdb>  (88) 
+>  <complex_pdb>  (123) 
 5t68
 
->  <ligand_pdb>  (88) 
+>  <ligand_pdb>  (123) 
 77V
 
->  <alt>  (88) 
+>  <alt>  (123) 
  
 
->  <chain>  (88) 
+>  <chain>  (123) 
 B
 
->  <atom.prop.subpocket>  (88) 
+>  <atom.prop.subpocket>  (123) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (88) 
-14 14 14 14 14 14 14 14 14 14 8 8 8 8 14 14 14 na
+>  <atom.prop.environment>  (123) 
+16 16 16 16 16 16 16 16 16 14 8 8 8 8 16 16 16 na
+
+$$$$
+4l52_altA_chainA
+     RDKit          3D
+
+ 29 30  0  0  0  0  0  0  0  0999 V2000
+   -5.3155   11.2734   49.6947 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.6073   12.4635   49.7156 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.0550   12.8731   49.6720 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.1259   13.9605   49.6985 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.5773   12.4539   50.5319 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -7.5102   12.5016   48.7539 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.6609   13.4231   49.7832 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.9170   14.8681   49.7901 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.3664   15.3546   50.5952 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -5.9818   15.0716   49.9034 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.4150   15.3439   48.4234 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.5854   16.4163   48.3279 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.9553   14.8187   47.6358 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9195   15.0534   48.2948 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4040   15.5943   49.0883 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6637   13.5510   48.4736 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5915   13.3574   48.4446 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1543   12.9994   47.6716 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2283   13.1038   49.8223 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0821   12.0322   49.9583 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7415   13.6429   50.6350 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3461   15.5621   47.0169 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9795   16.7825   46.6623 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0622   17.6761   47.2630 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4685   16.7007   45.3735 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5518   15.3584   44.9929 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2381   14.9605   44.0391 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0864   14.6333   46.0046 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9759   17.7911   44.6472 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  2  3  1  0
+  2  7  1  0
+  3  4  1  0
+  3  5  1  0
+  3  6  1  0
+  7  8  1  0
+  7 19  1  0
+  8  9  1  0
+  8 10  1  0
+  8 11  1  0
+ 11 12  1  0
+ 11 13  1  0
+ 11 14  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 22  1  0
+ 16 17  1  0
+ 16 18  1  0
+ 16 19  1  0
+ 19 20  1  0
+ 19 21  1  0
+ 22 23  1  0
+ 22 28  1  0
+ 23 24  1  0
+ 23 25  2  0
+ 25 26  1  0
+ 26 27  1  0
+ 26 28  2  0
+ 25 29  1  0
+V   29 *
+M  END
+>  <kinase>  (124) 
+TAK1
+
+>  <family>  (124) 
+MLK
+
+>  <group>  (124) 
+TKL
+
+>  <complex_pdb>  (124) 
+4l52
+
+>  <ligand_pdb>  (124) 
+1UL
+
+>  <alt>  (124) 
+A
+
+>  <chain>  (124) 
+A
+
+>  <atom.prop.subpocket>  (124) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (124) 
+1 1 1 1 1 1 5 5 5 5 5 5 5 15 5 5 5 5 5 5 5 9 9 9 16 9 9 9 na
 
 $$$$
 4iwo_chainA
@@ -6332,34 +8950,34 @@ $$$$
  18 20  1  0
  18 21  1  0
  21 22  2  0
-  1 23  1  0
+ 23  1  1  0
 V   23 *
 M  END
->  <kinase>  (89) 
+>  <kinase>  (125) 
 TBK1
 
->  <family>  (89) 
+>  <family>  (125) 
 IKK
 
->  <group>  (89) 
+>  <group>  (125) 
 Other
 
->  <complex_pdb>  (89) 
+>  <complex_pdb>  (125) 
 4iwo
 
->  <ligand_pdb>  (89) 
+>  <ligand_pdb>  (125) 
 1H4
 
->  <alt>  (89) 
+>  <alt>  (125) 
  
 
->  <chain>  (89) 
+>  <chain>  (125) 
 A
 
->  <atom.prop.subpocket>  (89) 
+>  <atom.prop.subpocket>  (125) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (89) 
+>  <atom.prop.environment>  (125) 
 16 16 16 16 16 16 16 16 16 16 10 10 10 10 10 10 10 10 10 10 10 10 na
 
 $$$$
@@ -6397,42 +9015,273 @@ $$$$
   6  8  1  0
   6 13  2  0
   8  9  1  0
-  8 16  2  0
- 10 11  1  0
- 10 12  1  0
- 10 17  1  0
+  8 16  2  0
+ 10 11  1  0
+ 10 12  1  0
+ 10 17  1  0
+ 13 14  1  0
+ 14 15  1  0
+ 17 18  1  0
+ 13 19  1  0
+V   19 *
+M  END
+>  <kinase>  (126) 
+TGFbR1
+
+>  <family>  (126) 
+STKR
+
+>  <group>  (126) 
+TKL
+
+>  <complex_pdb>  (126) 
+5e8z
+
+>  <ligand_pdb>  (126) 
+5L4
+
+>  <alt>  (126) 
+B
+
+>  <chain>  (126) 
+A
+
+>  <atom.prop.subpocket>  (126) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (126) 
+16 16 8 4 4 16 16 16 16 4 4 4 16 16 16 16 3 3 na
+
+$$$$
+2x9e_chainA
+     RDKit          3D
+
+ 20 20  0  0  0  0  0  0  0  0999 V2000
+   -2.4023   16.6368   46.4532 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2489   16.1596   47.6919 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5720   14.7252   47.9928 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4478   14.3453   48.9961 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.0148   13.9116   47.0197 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1720   14.4234   45.6353 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5146   13.7669   44.8492 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8813   15.7277   45.3616 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9965   16.1062   44.3566 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7766   17.0934   48.6543 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3601   12.5469   47.3488 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7842   11.5059   46.7248 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0455   11.6740   46.0569 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.2386   12.3723   48.2199 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4790   17.2288   49.8760 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9979   16.2827   50.7667 F   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8329   17.0290   49.6774 F   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3095   18.5060   50.4083 F   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0953   18.0277   46.2803 *   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2093   10.1337   46.9965 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  8  1  0
+  2  3  1  0
+  2 10  1  0
+  3  4  1  0
+  3  5  2  0
+  5  6  1  0
+  5 11  1  0
+  6  7  1  0
+  6  8  2  0
+  8  9  1  0
+ 10 15  1  0
+ 11 12  1  0
+ 11 14  2  0
+ 12 13  1  0
+ 15 16  1  0
+ 15 17  1  0
+ 15 18  1  0
+ 19  1  1  0
+ 12 20  1  0
+V   19 *
+V   20 *
+M  END
+>  <kinase>  (127) 
+TTK
+
+>  <family>  (127) 
+TTK
+
+>  <group>  (127) 
+Other
+
+>  <complex_pdb>  (127) 
+2x9e
+
+>  <ligand_pdb>  (127) 
+SVE
+
+>  <alt>  (127) 
+ 
+
+>  <chain>  (127) 
+A
+
+>  <atom.prop.subpocket>  (127) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP X-SE
+
+>  <atom.prop.environment>  (127) 
+16 16 16 16 16 16 16 16 16 3 1 5 5 1 3 3 3 3 na na
+
+$$$$
+4c4g_chainA
+     RDKit          3D
+
+ 22 22  0  0  0  0  0  0  0  0999 V2000
+   -1.9561   16.8539   46.0052 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1591   15.9533   44.9586 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0594   16.2881   43.9366 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4851   14.6429   45.2185 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6411   13.9610   44.3956 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6168   14.1832   46.5189 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3792   15.0252   47.6256 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.4411   14.6507   48.6367 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0591   16.3681   47.3655 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8068   17.4457   48.7673 Cl  0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1832   12.8144   46.7108 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.1491   12.6578   47.4695 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6558   11.7123   45.9804 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.4712   10.4986   45.8100 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.5258   10.7507   45.9218 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1913    9.7638   46.5649 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3004   10.0825   44.8171 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2076   11.4838   45.8483 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.6771   12.4259   45.9869 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9913   11.0876   44.8562 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.8822   10.7689   46.6040 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7371   18.2136   45.7643 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  9  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  1  0
+  4  6  2  0
+  6  7  1  0
+  6 11  1  0
+  7  8  1  0
+  7  9  2  0
+  9 10  1  0
+ 11 12  2  0
+ 11 13  1  0
+ 13 14  1  0
+ 13 18  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18 19  1  0
+ 18 20  1  0
+ 18 21  1  0
+ 22  1  1  0
+V   22 *
+M  END
+>  <kinase>  (128) 
+TTK
+
+>  <family>  (128) 
+TTK
+
+>  <group>  (128) 
+Other
+
+>  <complex_pdb>  (128) 
+4c4g
+
+>  <ligand_pdb>  (128) 
+7RO
+
+>  <alt>  (128) 
+ 
+
+>  <chain>  (128) 
+A
+
+>  <atom.prop.subpocket>  (128) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (128) 
+16 16 16 16 16 16 16 16 16 16 1 1 5 5 5 5 5 5 5 5 5 na
+
+$$$$
+5n9s_chainA
+     RDKit          3D
+
+ 22 22  0  0  0  0  0  0  0  0999 V2000
+   -2.0843   16.6082   46.1683 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3575   14.3446   45.3219 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2762   13.6350   44.5118 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0440   15.6828   45.1187 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7635   16.0161   44.1304 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7842   13.9233   46.6024 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5009   16.1401   47.5185 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5528   17.0805   48.5143 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6920   16.7896   49.9027 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7051   17.7206   50.4695 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8531   16.1760   50.2312 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6242   16.2497   50.0692 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8511   14.8137   47.6848 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1776   14.4609   48.6520 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.1624   12.3875   46.9101 S   0  0  0  0  0  6  0  0  0  0  0  0
+   -1.7917   11.6293   47.4520 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4176   12.1440   48.3371 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0318   11.6506   46.6710 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0244   10.5948   47.7045 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -4.2429   12.4755   47.8323 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5539   11.6198   45.7499 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6847   17.9068   46.1027 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  4  2  0
+  1  7  1  0
+  2  3  1  0
+  2  4  1  0
+  2  6  2  0
+  4  5  1  0
+  6 13  1  0
+  6 15  1  0
+  7  8  1  0
+  7 13  2  0
+  8  9  1  0
+  9 10  1  0
+  9 11  1  0
+  9 12  1  0
  13 14  1  0
- 14 15  1  0
- 17 18  1  0
- 13 19  1  0
-V   19 *
+ 15 16  1  0
+ 15 20  2  0
+ 15 21  2  0
+ 16 17  1  0
+ 16 18  1  0
+ 16 19  1  0
+  1 22  1  0
+V   22 *
 M  END
->  <kinase>  (90) 
-TGFbR1
+>  <kinase>  (129) 
+TTK
 
->  <family>  (90) 
-STKR
+>  <family>  (129) 
+TTK
 
->  <group>  (90) 
-TKL
+>  <group>  (129) 
+Other
 
->  <complex_pdb>  (90) 
-5e8z
+>  <complex_pdb>  (129) 
+5n9s
 
->  <ligand_pdb>  (90) 
-5L4
+>  <ligand_pdb>  (129) 
+8QW
 
->  <alt>  (90) 
-B
+>  <alt>  (129) 
+ 
 
->  <chain>  (90) 
+>  <chain>  (129) 
 A
 
->  <atom.prop.subpocket>  (90) 
-SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+>  <atom.prop.subpocket>  (129) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (90) 
-16 16 8 8 8 16 16 16 16 8 8 8 16 16 16 16 3 3 na
+>  <atom.prop.environment>  (129) 
+16 16 16 16 16 16 16 3 3 3 3 3 16 16 16 16 16 16 16 16 16 na
 
 $$$$
 6b4w_chainA
@@ -6487,32 +9336,32 @@ $$$$
  22 23  1  0
 V   23 *
 M  END
->  <kinase>  (91) 
+>  <kinase>  (130) 
 TTK
 
->  <family>  (91) 
+>  <family>  (130) 
 TTK
 
->  <group>  (91) 
+>  <group>  (130) 
 Other
 
->  <complex_pdb>  (91) 
+>  <complex_pdb>  (130) 
 6b4w
 
->  <ligand_pdb>  (91) 
+>  <ligand_pdb>  (130) 
 CQ7
 
->  <alt>  (91) 
+>  <alt>  (130) 
  
 
->  <chain>  (91) 
+>  <chain>  (130) 
 A
 
->  <atom.prop.subpocket>  (91) 
+>  <atom.prop.subpocket>  (130) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (91) 
-3 3 3 3 3 16 16 16 16 6 6 5 5 5 5 5 5 16 16 16 16 16 na
+>  <atom.prop.environment>  (130) 
+3 3 3 3 3 16 16 16 16 1 1 5 5 5 5 5 5 16 16 16 16 16 na
 
 $$$$
 6dbk_chainA
@@ -6565,32 +9414,192 @@ $$$$
   1 22  1  0
 V   22 *
 M  END
->  <kinase>  (92) 
+>  <kinase>  (131) 
 TYK2
 
->  <family>  (92) 
+>  <family>  (131) 
 JakA
 
->  <group>  (92) 
+>  <group>  (131) 
 TK
 
->  <complex_pdb>  (92) 
+>  <complex_pdb>  (131) 
 6dbk
 
->  <ligand_pdb>  (92) 
+>  <ligand_pdb>  (131) 
 G5D
 
->  <alt>  (92) 
+>  <alt>  (131) 
  
 
->  <chain>  (92) 
+>  <chain>  (131) 
 A
 
->  <atom.prop.subpocket>  (92) 
+>  <atom.prop.subpocket>  (131) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (92) 
-16 16 16 4 4 4 4 4 4 4 16 16 16 16 16 16 16 6 6 5 5 na
+>  <atom.prop.environment>  (131) 
+16 16 16 4 4 4 4 4 4 4 16 16 16 16 16 16 16 1 1 5 5 na
+
+$$$$
+6ova_altA_chainA
+     RDKit          3D
+
+ 21 21  0  0  0  0  0  0  0  0999 V2000
+   -1.0579   12.9504   46.4708 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1657   14.3999   46.1435 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0525   15.2587   46.8530 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.6709   14.8710   47.6490 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1100   16.5905   46.5096 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.7715   17.2666   47.0307 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5585   10.5686   46.0967 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9078   10.4745   46.9660 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1258   10.0230   45.2581 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5398   10.1560   46.3309 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6966   11.9913   45.7383 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5405   12.3452   44.5821 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5396   13.4271   44.4492 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.5599   12.0016   44.7576 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1459   11.8686   43.6848 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3727   12.6135   47.4191 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.2836   17.0541   45.4589 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.4530   16.2231   44.8068 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3655   14.9364   45.1124 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.3183   14.2985   44.5721 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3231   18.3959   45.0823 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1 11  1  0
+  1 16  2  0
+  2  3  2  0
+  2 19  1  0
+  3  4  1  0
+  3  5  1  0
+  5  6  1  0
+  5 17  2  0
+  7  8  1  0
+  7  9  1  0
+  7 10  1  0
+  7 11  1  0
+ 11 12  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 12 15  1  0
+ 17 18  1  0
+ 18 19  2  0
+ 19 20  1  0
+ 17 21  1  0
+V   21 *
+M  END
+>  <kinase>  (132) 
+TYK2
+
+>  <family>  (132) 
+JakA
+
+>  <group>  (132) 
+TK
+
+>  <complex_pdb>  (132) 
+6ova
+
+>  <ligand_pdb>  (132) 
+N9G
+
+>  <alt>  (132) 
+A
+
+>  <chain>  (132) 
+A
+
+>  <atom.prop.subpocket>  (132) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (132) 
+1 16 14 14 14 14 5 5 5 5 5 5 5 5 5 1 14 14 14 14 na
+
+$$$$
+7uyr_altB_chainA
+     RDKit          3D
+
+ 25 25  0  0  0  0  0  0  0  0999 V2000
+    2.2061   11.5514   48.6863 C   0  0  0  0  0  0  0  0  0  0  0  0
+    3.0097   10.8297   48.8328 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.8081   11.8538   49.6549 H   0  0  0  0  0  0  0  0  0  0  0  0
+    2.5940   12.4259   48.1639 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.0858   10.9089   47.8492 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.6651   10.0408   48.3568 H   0  0  0  0  0  0  0  0  0  0  0  0
+    1.4510   10.6130   46.8657 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0248   11.9303   47.0250 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8079   13.2292   47.1612 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6956   13.5979   48.1808 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8598   13.0236   46.9631 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3787   14.2079   46.2893 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7591   15.4911   46.6184 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3642   15.6574   47.4974 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.1730   15.1270   44.3821 C   0  0  0  0  0  0  0  0  0  0  0  0
+    0.4601   14.9710   43.5212 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5628   14.0263   45.1693 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2286   13.0338   44.9053 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5979   16.4215   44.7043 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.3782   16.5684   45.8408 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6994   17.5586   46.1284 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4439   10.9586   46.3916 O   0  0  0  0  0  0  0  0  0  0  0  0
+    0.1087   11.9782   47.7446 N   0  0  0  0  0  0  0  0  0  0  0  0
+    0.2970   12.8289   48.2555 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3350   17.6048   44.1185 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1  3  1  0
+  1  4  1  0
+  1  5  1  0
+  5  6  1  0
+  5  7  1  0
+  5 23  1  0
+  8  9  1  0
+  8 22  2  0
+  8 23  1  0
+  9 10  1  0
+  9 11  1  0
+  9 12  1  0
+ 12 13  2  0
+ 12 17  1  0
+ 13 14  1  0
+ 13 20  1  0
+ 15 16  1  0
+ 15 17  2  0
+ 15 19  1  0
+ 17 18  1  0
+ 19 20  2  0
+ 20 21  1  0
+ 23 24  1  0
+ 25 19  1  0
+V   25 *
+M  END
+>  <kinase>  (133) 
+TYK2
+
+>  <family>  (133) 
+JakA
+
+>  <group>  (133) 
+TK
+
+>  <complex_pdb>  (133) 
+7uyr
+
+>  <ligand_pdb>  (133) 
+OVI
+
+>  <alt>  (133) 
+B
+
+>  <chain>  (133) 
+A
+
+>  <atom.prop.subpocket>  (133) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (133) 
+4 4 4 4 4 4 4 1 8 1 1 16 16 16 16 16 16 16 16 16 16 1 5 5 na
 
 $$$$
 6nze_altB_chainB
@@ -6622,36 +9631,102 @@ $$$$
   8  9  2  0
   9 10  1  0
  10 11  1  0
-  6 13  1  0
+ 13  6  1  0
 V   13 *
 M  END
->  <kinase>  (93) 
+>  <kinase>  (134) 
 TYK2-b
 
->  <family>  (93) 
+>  <family>  (134) 
 JakB
 
->  <group>  (93) 
+>  <group>  (134) 
 TK
 
->  <complex_pdb>  (93) 
+>  <complex_pdb>  (134) 
 6nze
 
->  <ligand_pdb>  (93) 
+>  <ligand_pdb>  (134) 
 L8Y
 
->  <alt>  (93) 
+>  <alt>  (134) 
 B
 
->  <chain>  (93) 
+>  <chain>  (134) 
 B
 
->  <atom.prop.subpocket>  (93) 
+>  <atom.prop.subpocket>  (134) 
 SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (93) 
+>  <atom.prop.environment>  (134) 
 14 14 14 14 14 5 5 14 14 14 14 14 na
 
+$$$$
+6nzq_altB_chainB
+     RDKit          3D
+
+ 16 16  0  0  0  0  0  0  0  0999 V2000
+   -2.1238   17.2210   47.3441 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.5147   18.1425   47.7495 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9504   16.0074   49.3763 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.3015   17.0111   49.6159 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2793   15.6601   50.1618 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.8029   15.3323   49.3020 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0329   14.9471   46.2703 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.5901   14.0507   45.8617 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6585   14.8824   47.5160 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5166   17.1961   46.0880 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5378   18.3535   45.3171 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.9644   19.1423   45.7818 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2148   16.0333   48.0631 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.9630   16.0812   45.5651 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.7111   13.7144   48.1805 F   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0881   18.6388   44.0343 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  1  0
+  1 10  2  0
+  1 13  1  0
+  3  4  1  0
+  3  5  1  0
+  3  6  1  0
+  3 13  1  0
+  7  8  1  0
+  7  9  1  0
+  7 14  2  0
+  9 13  2  0
+  9 15  1  0
+ 10 11  1  0
+ 10 14  1  0
+ 11 12  1  0
+ 16 11  1  0
+V   16 *
+M  END
+>  <kinase>  (135) 
+TYK2-b
+
+>  <family>  (135) 
+JakB
+
+>  <group>  (135) 
+TK
+
+>  <complex_pdb>  (135) 
+6nzq
+
+>  <ligand_pdb>  (135) 
+LB4
+
+>  <alt>  (135) 
+B
+
+>  <chain>  (135) 
+B
+
+>  <atom.prop.subpocket>  (135) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (135) 
+14 14 8 8 8 8 14 14 14 14 5 5 16 14 14 na
+
 $$$$
 6nzr_altA_chainB
      RDKit          3D
@@ -6682,34 +9757,34 @@ $$$$
   6 10  1  0
   8  9  1  0
  10 11  1  0
-  8 13  1  0
+ 13  8  1  0
 V   13 *
 M  END
->  <kinase>  (94) 
+>  <kinase>  (136) 
 TYK2-b
 
->  <family>  (94) 
+>  <family>  (136) 
 JakB
 
->  <group>  (94) 
+>  <group>  (136) 
 TK
 
->  <complex_pdb>  (94) 
+>  <complex_pdb>  (136) 
 6nzr
 
->  <ligand_pdb>  (94) 
+>  <ligand_pdb>  (136) 
 LAJ
 
->  <alt>  (94) 
+>  <alt>  (136) 
 A
 
->  <chain>  (94) 
+>  <chain>  (136) 
 B
 
->  <atom.prop.subpocket>  (94) 
+>  <atom.prop.subpocket>  (136) 
 SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (94) 
+>  <atom.prop.environment>  (136) 
 14 14 14 14 14 14 14 5 5 14 14 14 na
 
 $$$$
@@ -6727,7 +9802,7 @@ $$$$
    -3.1191   18.1513   48.8126 H   0  0  0  0  0  0  0  0  0  0  0  0
    -2.8959   16.8931   50.0516 H   0  0  0  0  0  0  0  0  0  0  0  0
    -1.4879   15.1272   48.4208 O   0  0  0  0  0  0  0  0  0  0  0  0
-   -1.6509   16.5359   48.1862 S   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.6509   16.5359   48.1862 S   0  0  0  0  0  6  0  0  0  0  0  0
    -0.5125   17.2423   48.6985 O   0  0  0  0  0  0  0  0  0  0  0  0
    -2.0061   17.0982   43.8515 C   0  0  0  0  0  0  0  0  0  0  0  0
    -2.1549   17.3272   42.0905 Cl  0  0  0  0  0  0  0  0  0  0  0  0
@@ -6755,31 +9830,109 @@ $$$$
  17 18  1  0
 V   18 *
 M  END
->  <kinase>  (95) 
+>  <kinase>  (137) 
 p38a
 
->  <family>  (95) 
+>  <family>  (137) 
 MAPK
 
->  <group>  (95) 
+>  <group>  (137) 
 CMGC
 
->  <complex_pdb>  (95) 
+>  <complex_pdb>  (137) 
 3fkn
 
->  <ligand_pdb>  (95) 
+>  <ligand_pdb>  (137) 
 FKN
 
->  <alt>  (95) 
+>  <alt>  (137) 
  
 
->  <chain>  (95) 
+>  <chain>  (137) 
 A
 
->  <atom.prop.subpocket>  (95) 
+>  <atom.prop.subpocket>  (137) 
 SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
 
->  <atom.prop.environment>  (95) 
+>  <atom.prop.environment>  (137) 
 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 na
 
 $$$$
+3hll_altB_chainA
+     RDKit          3D
+
+ 22 22  0  0  0  0  0  0  0  0999 V2000
+   -1.1386   16.5399   44.3505 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.0416   16.3901   45.7221 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.3208   16.9579   46.2916 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8901   15.4960   46.3447 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.8169   14.7741   45.6284 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.4739   14.0832   46.1356 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9049   14.9336   44.2685 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.6322   14.3683   43.7048 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0658   15.8147   43.6215 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.8168   15.3210   47.8039 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.4761   16.2771   48.4907 O   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.1983   14.0798   48.2830 N   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.9656   14.0431   48.9387 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5710   12.8315   47.9071 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.7658   13.0282   47.1992 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.3105   12.1783   47.4439 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.1642   12.3475   48.7949 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.2206   15.9314   42.1408 C   0  0  0  0  0  0  0  0  0  0  0  0
+   -1.5025   16.6558   41.7564 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -3.2321   16.2629   41.9062 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -2.0400   14.9607   41.6790 H   0  0  0  0  0  0  0  0  0  0  0  0
+   -0.2546   17.4332   43.7274 *   0  0  0  0  0  0  0  0  0  0  0  0
+  1  2  2  0
+  1  9  1  0
+  2  3  1  0
+  2  4  1  0
+  4  5  2  0
+  4 10  1  0
+  5  6  1  0
+  5  7  1  0
+  7  8  1  0
+  7  9  2  0
+  9 18  1  0
+ 10 11  2  0
+ 10 12  1  0
+ 12 13  1  0
+ 12 14  1  0
+ 14 15  1  0
+ 14 16  1  0
+ 14 17  1  0
+ 18 19  1  0
+ 18 20  1  0
+ 18 21  1  0
+ 22  1  1  0
+V   22 *
+M  END
+>  <kinase>  (138) 
+p38a
+
+>  <family>  (138) 
+MAPK
+
+>  <group>  (138) 
+CMGC
+
+>  <complex_pdb>  (138) 
+3hll
+
+>  <ligand_pdb>  (138) 
+I45
+
+>  <alt>  (138) 
+B
+
+>  <chain>  (138) 
+A
+
+>  <atom.prop.subpocket>  (138) 
+SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE SE AP
+
+>  <atom.prop.environment>  (138) 
+16 16 16 16 16 16 16 16 16 1 1 5 5 5 5 5 5 8 8 8 8 na
+
+$$$$
diff --git a/data/fragment_library_custom_filtered/custom_filter_results.csv b/data/fragment_library_custom_filtered/custom_filter_results.csv
index b0777f26..a894bb75 100644
--- a/data/fragment_library_custom_filtered/custom_filter_results.csv
+++ b/data/fragment_library_custom_filtered/custom_filter_results.csv
@@ -1,2860 +1,3506 @@
-smiles,subpocket,bool_pains,bool_brenk,bool_ro3,bool_qed,qed,bool_bb,bool_syba,syba
-Nc1c[nH]c2ncccc12,AP,1,1,1,1,0.5658999712435825,1,1,30.950959060571513
-N/C(=C1\C(=O)Nc2ccccc21)c1ccccc1,AP,1,0,1,1,0.7471848717059775,0,1,17.682658603401492
-Cc1cc(N)[nH]n1,AP,1,1,1,0,0.48885445333814254,1,1,15.727014887215788
-Nc1ncc(C=O)s1,AP,1,0,1,1,0.5613399498283871,1,1,12.789242122893825
-COCC(=O)n1cc2[nH]nc(NC=O)c2c1,AP,1,0,0,1,0.7239606034824997,0,1,14.653939214959742
-Cc1n[nH]c2cc(S)ccc12,AP,1,0,1,1,0.5738245456207135,1,1,10.945624679684983
-O=C1NCCCc2cc[nH]c21,AP,1,1,1,1,0.5611998049940248,0,0,-6.74631599668948
-Nc1nccc(O)n1,AP,1,1,0,0,0.48447474430415927,1,1,14.840208929754215
-Nc1ncc2cn[nH]c2n1,AP,1,1,0,1,0.5296759293780585,0,1,13.019757117591375
-CNc1ncnc2[nH]ccc12,AP,1,1,1,1,0.6339116859578915,1,1,38.38637143623604
-Nc1nccn2cncc12,AP,1,1,1,1,0.5638030951061849,0,1,31.409528923087134
-c1cnc2ccnn2c1,AP,1,1,1,1,0.511375604737478,1,1,39.62289811858867
-Nc1cc(C2CC2)[nH]n1,AP,1,1,1,1,0.5817560283870127,1,1,18.524860679773994
-Nc1ncnc2[nH]ccc12,AP,1,1,0,1,0.5521636672820287,1,1,29.032669286590455
-Clc1c[nH]c2ncncc12,AP,1,1,1,1,0.6249517393225209,1,1,18.136368996744945
-Cc1c[nH]c2ncncc12,AP,1,1,1,1,0.5875133881718076,1,1,18.45204921270899
-CCc1c[nH]c2ncncc12,AP,1,1,1,1,0.6640159088638276,1,1,26.056605986491547
-c1ncc2cc[nH]c2n1,AP,1,1,1,1,0.5607362152362961,1,1,30.638319580918225
-C[C@@H]1SCc2ncncc21,AP,1,1,1,1,0.5664426923034389,0,0,-15.744872052582327
-c1ccc2ncncc2c1,AP,1,1,1,1,0.5412819114011972,1,1,36.822281190644524
-C[C@@H]1C[C@@H](O)c2ncncc21,AP,1,1,1,1,0.600137794996851,0,0,-19.770027220110777
-C[C@@H]1CC(=O)Nc2ncncc21,AP,1,1,1,1,0.6183914419740608,0,0,-26.409043657750722
-O=[SH](=O)c1cccc2cnccc12,AP,1,0,1,1,0.6922284333447187,1,1,1.8855960458176901
-Cc1n[nH]c2ccccc12,AP,1,1,1,1,0.5820392325335272,1,1,44.4808676464273
-c1cn[nH]c1,AP,1,1,1,0,0.4683433019217652,1,1,7.008377370358167
-Nc1cnon1,AP,1,1,0,0,0.46734178807730703,0,1,4.049549313424441
-c1cnc2[nH]ccc2c1,AP,1,1,1,1,0.5583728365871126,1,1,43.27487395955146
-Nc1ncc(Cl)c(N)n1,AP,1,1,0,1,0.5489392620766615,1,1,21.3182634370304
-O=CNc1n[nH]c2c1CNC2,AP,1,0,0,1,0.5040008100754904,0,0,-17.13714378581204
-Nc1ncccc1O,AP,1,1,1,1,0.5068633046996494,1,1,22.016494656421518
-CCc1ccc2c(c1)C(=O)c1c([nH]c3cc(C#N)ccc13)C2(C)C,AP,1,1,0,1,0.7200651689938562,0,1,15.142372828120454
-Nc1nccnc1O,AP,1,1,0,0,0.48447474430415927,1,1,10.29223715975717
-Nc1ncccn1,AP,1,1,1,1,0.49531271324374404,1,1,22.216635365925974
-NC(=O)c1cccc([SH](=O)=O)c1,AP,1,0,0,1,0.623867704414389,1,0,-9.54440564260099
-NC(=O)c1ccccc1,AP,1,1,1,1,0.5859367170668044,1,1,37.153131146312816
-Fc1ccccc1,AP,1,1,1,0,0.46184033029146143,1,1,26.89038789795228
-Nc1ncc2c[nH]nc2n1,AP,1,1,0,1,0.5296759293780585,0,1,20.36441436973807
-O=C/N=C1/N=Nc2ccccc21,AP,1,0,1,1,0.574935749031262,0,0,-17.88712688885667
-O=CNc1n[nH]c2ccccc12,AP,1,0,1,1,0.6484659759237619,1,1,28.70022325829968
-O=CNc1ccn[nH]1,AP,1,0,1,1,0.5266484082045457,1,1,6.813264167155642
-Cc1ccn[nH]1,AP,1,1,1,0,0.49044689078380066,1,1,14.82874220317474
-COc1cc(-c2cccnc2N)cc(OC)c1OC,AP,1,1,0,1,0.9136257774468136,0,1,41.659792230272835
-Nc1ccc2nccn2n1,AP,1,1,1,1,0.5638030951061849,1,1,42.20375806539091
-COc1cc(-c2cccnc2)cc(OC)c1OC,AP,1,1,0,1,0.83008585938348,0,1,55.26453774831965
-Cc1cccc2nc[nH]c(=O)c12,AP,1,1,1,1,0.6296228179680179,1,1,33.8410268029552
-O=c1[nH]cnc2ccccc12,AP,1,1,1,1,0.6003509616659684,1,1,49.06194613610719
-Cc1nc2cccc(C)c2c(=O)[nH]1,AP,1,1,1,1,0.6580586410337298,1,1,27.70760628202652
-COc1cc(-c2cnccc2C)cc(OC)c1OC,AP,1,1,0,1,0.8456647836919536,0,1,41.803681848587686
-COc1cccc(-c2cnccc2C)c1,AP,1,1,0,1,0.7411607300806361,0,1,45.61530880832209
-O=CNc1n[nH]c2cn(C=O)cc12,AP,1,0,0,1,0.6474950196638858,0,0,-1.656303639988164
-Nc1ccnc(N)n1,AP,1,1,0,0,0.4777611922776153,1,1,26.34741885629736
-Nc1cn[nH]c1,AP,1,1,1,0,0.4632257080621317,1,1,12.244981556177025
-O=CNc1cn[nH]c1,AP,1,0,1,1,0.5266484082045457,1,1,10.516748563411557
-Brc1cnc2[nH]cnc2c1,AP,1,1,1,1,0.6995654942478055,1,1,31.23427654189242
-Clc1cnc2cnccn12,AP,1,1,1,1,0.5726104908728296,1,1,33.86726009941444
-O=CNc1n[nH]c2ccsc12,AP,1,0,1,1,0.6599358884582679,0,1,13.724062315425401
-CNc1ncccn1,AP,1,1,1,1,0.5708700999474509,1,1,27.03854504190275
-NC=O,AP,1,0,1,0,0.35232551302052717,1,0,-3.29609306080239
-Nc1ncc(F)c(N)n1,AP,1,1,0,1,0.5059492074150636,1,1,19.09389561265286
-Nc1ccc2ncccc2c1,AP,1,0,1,1,0.5725810426076291,1,1,48.346598774821096
-Nc1ncnc2occc12,AP,1,1,0,1,0.5799503038107798,0,1,21.107540377517743
-Nc1n[nH]c2ccccc12,AP,1,1,1,1,0.5658999712435826,1,1,31.701166766408917
-Cc1cn2ccnc2cn1,AP,1,1,1,1,0.5370900072608146,1,1,35.856587603219474
-c1cn2ccnc2cn1,AP,1,1,1,1,0.5113756047374779,1,1,39.33473876475038
-Cc1cc(N)n[nH]1,AP,1,1,1,0,0.48885445333814254,1,1,17.627254462274625
-Cc1c[n+]2c(cn1)[NH2+]C=C2c1cn[nH]c1,AP,1,0,0,1,0.6083890434317208,0,1,7.785977070020817
-Clc1cnc2[nH]cnc2c1,AP,1,1,1,1,0.6249517393225209,0,1,27.217155141338594
-Nc1ncc2cc[nH]c2n1,AP,1,1,0,1,0.5521636672820287,1,1,30.228892595368666
-Nc1cc[nH]n1,AP,1,1,1,0,0.4632257080621317,1,1,15.506510937849146
-c1ncc2ccoc2n1,AP,1,1,1,1,0.524337023241302,0,1,20.91566462608599
-NC(=O)c1n[nH]c2ccccc12,AP,1,1,0,1,0.6444934248268473,1,1,54.52749912628104
-CCOC=O,AP,1,0,1,0,0.43656455010269035,1,0,-6.824448569140429
-O=c1[nH]c2ccc(O)cc2[nH]1,AP,1,1,0,1,0.5132501883692772,1,1,28.459521791723528
-Clc1cnc2nc[nH]c2c1,AP,1,1,1,1,0.6249517393225209,0,1,26.240222411330443
-Nc1nc(N)n(C=O)n1,AP,1,0,0,0,0.446084919315502,0,0,-2.4275150018049705
-Nc1nccs1,AP,1,1,1,1,0.5215253330648401,1,1,16.95309833793486
-Cc1ccc2c(c1)C(=O)N(C)c1cnc(N)nc1N2C,AP,1,1,0,1,0.7878518185359399,0,1,15.481806328491711
-Cc1ccc2c(c1)OCO2,AP,1,1,1,1,0.540310891015898,1,1,32.414211538116504
-Nc1ncnc2[nH]ncc12,AP,1,1,0,1,0.5296759293780585,1,1,24.67067210903871
-c1ccc2c(c1)OCO2,AP,1,1,1,1,0.5176682759164258,1,1,24.83848061700253
-Oc1ccccc1,AP,1,1,1,1,0.514729544768675,1,1,22.781258452418122
-O=C1N=Cc2ccccc21,AP,1,1,1,1,0.5207856484780935,0,0,-13.53033725805279
-c1ccc2n[nH]cc2c1,AP,1,1,1,1,0.5583728365871126,1,1,41.32193679387078
-c1ccc2[nH]ncc2c1,AP,1,1,1,1,0.5583728365871126,1,1,41.54100241300441
-c1ccncc1,AP,1,1,1,0,0.4531479654842905,1,1,20.589274983144822
-NC(=O)Nc1ccsc1,AP,1,1,1,1,0.6085545083181163,1,1,40.28538525560708
-Clc1cnc2[nH]ccc2c1,AP,1,1,1,1,0.6162749315196012,1,1,44.7940476327261
-O=Cc1c[nH]c2ncccc12,AP,1,0,1,1,0.6174470277650994,1,1,30.86197986970827
-c1cc2ccoc2cn1,AP,1,1,1,1,0.5283477685064296,1,1,27.16527626385493
-NC(=O)c1cc2ccncc2o1,AP,1,1,0,1,0.6775304324969798,0,1,29.3648696129481
-Nc1coc2cnccc12,AP,1,1,1,1,0.5922099720914726,0,1,12.773381794345774
-c1cc2ccsc2cn1,AP,1,1,1,1,0.5397735725540235,1,1,27.13003469376944
-COc1n[nH]c2ncc(N)cc12,AP,1,1,0,1,0.6447765138705841,0,1,22.90669859326972
-Nc1cnc(N)c(Br)c1,AP,1,1,0,1,0.6378950106210678,1,1,24.5996902615513
-CC(=O)Nc1ccccn1,AP,1,1,1,1,0.6263238604714195,1,1,47.49862526573194
-Oc1ccc(Cl)c2cccnc12,AP,1,1,1,1,0.6745322343274752,1,1,43.91364625593198
-Cn1c(=O)ccc2cnc(N)nc21,AP,1,1,0,1,0.6084149207744362,1,1,24.16384109351519
-Nc1ncnc2c(C=O)csc12,AP,1,0,0,1,0.6650205532661347,0,1,12.01547606590873
-NC(=O)Nc1cc(N)ncn1,AP,1,1,0,1,0.5073873979826581,0,1,38.16345328665303
-O=CNc1nc2cccnc2s1,AP,1,0,1,1,0.7059025568168851,1,1,23.530909892568815
-N#Cc1cccc2nc(NC=O)sc12,AP,1,0,0,1,0.7557534738582526,0,1,14.72824196255123
-c1cnc2nc[nH]c2c1,AP,1,1,1,1,0.5607362152362961,1,1,29.256169670089374
-CNc1ccc2ncn(C)c(=O)c2c1,AP,1,1,1,1,0.7268761570026288,1,1,39.45328419034719
-O=C1CCc2c(O)ccnc2N1,AP,1,1,0,1,0.5920577100753273,0,0,-5.251917997652763
-O=Cc1c[nH]c2ncc(Cl)cc12,AP,1,0,1,1,0.6829398534512952,1,1,24.597261824527244
-O=Cc1c[nH]c2ncc(-c3cncnc3)cc12,AP,1,0,0,1,0.6738970933666125,0,1,26.99742461873134
-Nc1ncnc2[nH]cc(Cl)c12,AP,1,1,0,1,0.621159231098622,1,1,24.542143426689197
-CNc1ncc2ccc(C)nc2n1,AP,1,1,0,1,0.7090824574402411,0,1,29.739334116951657
-Oc1ccnc(-c2ncc[nH]2)c1,AP,1,1,0,1,0.6596467511361087,0,1,21.184192427122664
-c1ncc2[nH]cnc2n1,AP,1,1,1,1,0.5454672838232755,1,1,20.65547250238942
-Cn1cnc2ccc(N)cc2c1=O,AP,1,0,0,1,0.5934602557678185,1,1,41.77891641024061
-c1cn2c(-c3cn[nH]c3)cnc2cn1,AP,1,1,1,1,0.617595476139162,1,1,37.66103760445785
-Cc1cn2c(-c3cn[nH]c3)cnc2cn1,AP,1,1,1,1,0.6445208711483315,0,1,27.0183206769027
-Cn1ccncc1=O,AP,1,1,1,0,0.4624735047554044,1,1,20.309199042427714
-Nc1[nH]ncc1C=O,AP,1,0,0,1,0.4929363112315002,1,1,8.079684695524305
-CN1C(=O)NCc2cnc(N)nc21,AP,1,1,0,1,0.5732088230424951,0,0,-13.643395818123803
-Nc1ncnc2nc[nH]c12,AP,1,1,0,1,0.5296759293780585,1,1,26.611361607375347
-Nc1nccn2ccnc12,AP,1,1,1,1,0.5638030951061849,1,1,25.628702209793882
-Cn1cccc(N)c1=O,AP,1,1,1,1,0.5275047833665327,1,1,24.52971273842459
-Cn1ccccc1=O,AP,1,1,1,0,0.4719138439954858,1,1,30.41344293946266
-O=c1cccn[nH]1,AP,1,1,1,0,0.48454658204851075,1,1,16.393963737650818
-NC(=O)c1cccnc1N,AP,1,1,0,1,0.5601323657155416,1,1,40.033456674088
-Cn1ccnc(N)c1=O,AP,1,1,0,1,0.5014678028929576,1,1,22.21804175037937
-Cn1ncccc1=O,AP,1,1,1,0,0.4624735047554044,1,1,30.213596679087107
-Nc1ccc2nccnc2c1,AP,1,0,1,1,0.5667175363853326,1,1,42.21819807840159
-Nc1ncnc(N)n1,AP,1,1,0,0,0.44941677845639305,1,1,17.079409888018347
-NC1=NCC=NC1=O,AP,1,1,0,0,0.433256140144005,0,0,-32.28946480884326
-Cn1nccc(N)c1=O,AP,1,1,0,1,0.5014678028929576,1,1,17.667870161747025
-Nc1ccn[nH]c1=O,AP,1,1,0,0,0.4670416161550293,1,1,10.890024228172164
-NC(=O)c1ccc(N)nc1,AP,1,1,0,1,0.5601323657155416,1,1,41.39074641217584
-NC(=O)c1cccnc1O,AP,1,1,0,1,0.5678515844292622,1,1,25.36242051773053
-Nc1ncnc2[nH]cc(C=O)c12,AP,1,0,0,1,0.5923815485979881,0,1,18.38801703462645
-Cn1c2c(cc(N)c1=O)-c1ccccc1C[C@H](O)C2,AP,1,1,0,1,0.7412044679195968,0,1,0.6861190766721115
-Nc1ncc2[nH]c(=O)c(=O)[nH]c2n1,AP,1,0,0,0,0.4291621838139394,0,1,18.552856954063923
-CNc1cc(N)ncn1,AP,1,1,0,1,0.5569791707820108,1,1,30.809021154744013
-COc1cnccc1N,AP,1,1,1,1,0.5982384187369707,1,1,16.361795385980344
-NC(=O)c1n[nH]cc1N,AP,1,1,0,0,0.4539721011557528,1,1,19.086790805884924
-Nc1nc(O)c2nc[nH]c2n1,AP,1,1,0,0,0.47697132842406215,1,1,26.012944509829197
-O=c1ccoc2cc(O)cc(O)c12,AP,1,1,0,1,0.6354873593320908,1,1,27.299722576177157
-CCn1cnc2c(N)ncnc21,AP,1,1,0,1,0.6613593002754281,1,1,48.292539106390926
-CCc1cnn2c(N)ccnc12,AP,1,1,1,1,0.67660634210555,1,1,26.36611572089349
-Cn1cnc2c(N)ncnc21,AP,1,1,0,1,0.5695517474821745,1,1,31.737596772945963
-COc1cc2ncnc(N)c2cc1OC,AP,1,1,0,1,0.7979523736971121,1,1,41.67674998924987
-Nc1ncc2nc[nH]c2n1,AP,1,1,0,1,0.5296759293780585,1,1,21.18994719334084
-COc1nc(N)nc(N)c1N=O,AP,1,1,0,1,0.6036976744590201,0,1,12.650676002666824
-O=C1Cc2cc(S(=O)(=O)[O-])ccc2N1,AP,1,0,0,1,0.667953140702261,0,1,29.637550108145277
-N/C=C1\C(=O)Nc2ccc3ncsc3c21,AP,1,0,0,1,0.657699105439811,0,0,-23.23330330448355
-Nc1ncnc2[nH]cnc12,AP,1,1,0,1,0.5296759293780585,1,1,30.04905878706934
-NC(N)=O,AP,1,1,0,0,0.3705073514035382,1,1,12.3711326840275
-NC(=O)Nc1cc[nH]n1,AP,1,1,0,0,0.49054534192612886,0,1,32.75285051914737
-Nc1ccncn1,AP,1,1,1,1,0.49531271324374415,1,1,24.137073389913578
-Nc1cc(N)ncn1,AP,1,1,0,0,0.4777611922776153,1,1,22.941806219122117
-Nc1ncc(Br)cn1,AP,1,1,1,1,0.6328582562302699,1,1,26.407954697025673
-N/C=C1\C(=O)Nc2ccccc21,AP,1,0,1,1,0.5547257407725986,0,0,-6.7960721137178055
-O=C1Nc2ccc3ncsc3c2/C1=N/Nc1ccccc1,AP,0,0,0,1,0.7138144058460063,0,1,29.665646167879046
-Nc1ncc(N=O)c(N)n1,AP,1,1,0,1,0.533753371986507,1,1,8.445057210712758
-CC(=O)Nc1ncccn1,AP,1,1,1,1,0.6104260962860729,1,1,42.093179685913604
-O=C1Nc2ccc(F)c3ccc(-c4ccc[nH]4)c1c23,AP,1,1,0,1,0.6832117463289039,0,1,1.6880748367178176
-c1cncnc1,AP,1,1,1,0,0.4525571430979931,1,1,20.650117467972965
-Nc1nc2ccc(C=O)cn2c1C=O,AP,1,0,0,1,0.6992233797299435,0,1,17.500931576866055
-COc1cc[nH]c1C,AP,1,1,1,1,0.5806914874315203,1,1,21.529486138703557
-O=CNc1cc[nH]n1,AP,1,0,1,1,0.5266484082045457,1,1,11.179188932838533
-Nc1cc(Cl)nc2ccnn12,AP,1,1,1,1,0.5966276546315371,1,1,25.056003197169435
-Nc1ccnc2ccnn12,AP,1,1,1,1,0.5638030951061849,1,1,25.54147732141739
-Nc1cn2cc(C=O)ccc2n1,AP,1,0,0,1,0.6269506363663427,1,1,22.201129023699753
-O=C1c2ccccc2-c2n[nH]cc21,AP,1,1,1,1,0.5568376219021443,0,1,15.661927318992522
-CCc1n[nH]c2nc[nH]c(=O)c12,AP,1,1,0,1,0.6321938181908657,0,1,34.11315903061319
-C[C@@]1(O)/C(=C2/C(=O)Nc3ccc([SH](=O)=O)cc32)Nc2ccccc21,AP,1,0,0,0,0.46689410648648183,0,0,-55.359504599105385
-NC(=O)c1n[nH]c2c1CCc1[nH]ncc1-2,AP,1,1,0,1,0.6075062323408393,0,1,19.26020722810384
-[O+]#[N+2]([O-])c1cccc(Nc2ncccn2)c1,AP,1,0,0,1,0.616945142891312,0,1,57.166358496958296
-Nc1ccnc2ncnn12,AP,1,1,0,1,0.5383637047155415,1,1,24.68763136672711
-Cc1ccc2occ(O)c(=O)c2c1,AP,1,1,1,1,0.6654734086251236,0,1,39.30508150873308
-c1ncc2nc[nH]c2n1,AP,1,1,1,1,0.5454672838232756,1,1,19.38059096174531
-COc1cc2nc[nH]c2cc1OC,AP,1,1,1,1,0.7589847809994558,0,1,40.73744410985244
-Fc1ccccc1-c1cn2ccnc2cn1,AP,1,1,1,1,0.6214089754511068,0,1,48.068876854932164
-Cc1cnc2c(N)nccn12,AP,1,1,1,1,0.5954370615348293,0,1,20.646010162702268
-Nc1ccnc2c(Br)cnn12,AP,1,1,1,1,0.7115952478146391,1,1,22.46523074168695
-Nc1cccc2c(Br)cnn12,AP,1,1,1,1,0.7213094135103859,0,1,21.117125790288185
-Nc1cccn2c(Br)cnc12,AP,1,1,1,1,0.7213094135103859,1,1,23.451116107393887
-Nc1ccnc2c(CO)cnn12,AP,1,1,0,1,0.6117586632507916,1,1,18.933124965922474
-Cc1ccco1,AP,1,1,1,0,0.4628605847396023,1,1,19.55617176649155
-Cc1ccc(-c2ccccc2)o1,AP,1,1,0,1,0.6204760024300537,1,1,48.21584543526078
-CCc1ccco1,AP,1,1,1,1,0.5195790437613876,1,1,32.52289738289828
-[H]/N=C1\NC(=O)CS1,AP,1,0,1,0,0.4595902452065177,0,0,-15.582216331446993
-NC(=O)c1cc[nH]n1,AP,1,1,0,1,0.5128254311845627,1,1,27.40768558707893
-N#Cc1cnn2c(N)cc(Cl)nc12,AP,1,1,0,1,0.6289718547627411,0,1,23.059406751035652
-N#Cc1cnn2c(N)ccnc12,AP,1,1,0,1,0.5942836481630253,1,1,25.314565722533032
-c1ccc(Nc2ncccn2)cc1,AP,1,1,1,1,0.752389705777418,1,1,65.22409755389877
-Nc1ncc(F)cn1,AP,1,1,1,1,0.5223973940745565,1,1,19.727113347286434
-Cn1ncc2c1-c1nc(N)ncc1CC2,AP,1,1,0,1,0.6756882529337385,0,1,11.011643159274218
-CC1(C)c2[nH]nc(N)c2CN1C=O,AP,1,0,0,1,0.6060188060629421,1,0,-22.743345897202527
-CNC(=O)c1nn(C)c2c1ccc1cnc(N)nc12,AP,1,1,0,1,0.6585951952833748,0,1,35.31773026679583
-Cc1nc2c(s1)-c1nc(N)ncc1CC2,AP,1,1,0,1,0.7289213591751048,0,1,9.01225202303721
-COc1ccnc2[nH]ccc12,AP,1,1,1,1,0.66614760974663,1,1,36.45095187593385
-Oc1ccnc2[nH]ccc12,AP,1,1,1,1,0.5695767699152823,1,1,23.784334390447714
-Nc1nccc2cc3c(O)ccnc3n12,AP,1,1,0,1,0.5707231306731465,0,1,0.7348499346676491
-Nc1ncnc2ccnn12,AP,1,1,0,1,0.5383637047155415,1,1,23.87191451780354
-Cc1ncn2nc(N)ncc12,AP,1,1,0,1,0.5726845816021439,0,1,16.610305529716232
-c1ccc2[nH]c(-c3n[nH]c4ccccc34)nc2c1,AP,1,1,0,1,0.5313446542836318,1,1,48.49108093279667
-CC(=O)Nc1c[nH]cn1,AP,1,1,1,1,0.5692234054682064,1,1,24.82474298347923
-Nc1c[nH]cn1,AP,1,1,1,0,0.4632257080621317,1,1,13.05738056664325
-Nc1n[nH]c2c(F)c(F)ccc12,AP,1,1,1,1,0.6262010296884438,0,1,16.04432541215502
-Nc1n[nH]c2cc(Cl)ccc12,AP,1,1,1,1,0.6288112834438336,0,1,35.249514698434304
-Nc1ncnc2cn[nH]c12,AP,1,1,0,1,0.5296759293780585,1,1,21.320064600923452
-Nc1ncnc(-c2cc(Cl)ccc2O)n1,AP,1,1,0,1,0.7635070032978527,0,1,28.042246595519593
-C=CCNc1nc(N)c(C=O)s1,AP,1,0,0,1,0.5421761045977664,0,1,20.020603589869292
-c1n[nH]c2c1CCCC2,AP,1,1,1,1,0.5515098250854542,0,1,27.93428517469036
-CNC(=O)c1n[nH]c2c1CCCC2,AP,1,1,1,1,0.6645892509417041,0,1,45.80680853776977
-Nc1nc(N)c(C=O)s1,AP,1,0,0,1,0.5468594863905379,1,1,4.749548279583218
-Nc1csc(N)n1,AP,1,1,0,1,0.5110070188475047,1,1,15.919540019485343
-CNc1cc(Cl)c([N+](=O)[O-])cc1C(N)=O,AP,1,0,0,1,0.6043611455193832,0,1,41.158758507274
-CNc1cc(Cl)c([N+2](#[O+])[O-])cc1C(N)=O,AP,1,0,0,1,0.5973219008934295,0,1,31.12525332981567
-NC(=O)c1cc([N+](=O)[O-])ccc1N,AP,1,0,0,0,0.3870934615773343,1,1,44.56995534189344
-CNc1cc(OC)c([N+2](#[O+])[O-])cc1C(N)=O,AP,1,0,0,1,0.5941081872645152,0,1,35.75053490737289
-NC(=O)c1cc([N+2](#[O+])[O-])ccc1N,AP,1,0,0,0,0.3776210148912589,0,1,25.489773587476872
-NC(=O)c1ccccc1N,AP,1,0,0,1,0.5473422654963029,1,1,32.14342487361283
-NNC(=O)c1n[nH]c2c1CCCC2,AP,1,0,0,0,0.32015241311750914,0,1,42.77754078066805
-CNc1ccc([N+2](#[O+])[O-])cc1C(N)=O,AP,1,0,0,1,0.5468854093262764,0,1,30.51279420085596
-NC(=O)c1sc(N)nc1N,AP,1,1,0,1,0.5069947057515675,0,1,23.35985620833857
-Cc1cc(C)c(Cc2c(O)[nH]c3ccc(F)cc23)[nH]1,AP,1,1,0,1,0.6465732768749115,0,1,46.31727647778884
-Cc1cnc2ccnn2c1N,AP,1,1,1,1,0.5954370615348293,1,1,32.22974974047434
-Nc1nccnc1C=O,AP,1,0,0,1,0.5279733244447306,1,1,3.2892721006665613
-N#Cc1cnc(N)nc1,AP,1,1,0,1,0.5195864281171498,1,1,20.3545838651496
-Nc1nc(O)c2[nH]cnc2n1,AP,1,1,0,0,0.4769713284240622,1,1,19.21083277389289
-Nc1ncc2[nH]cnc2n1,AP,1,1,0,1,0.5296759293780585,1,1,25.37036465624505
-[O-]c1cccc2ccc(C3=NCCS3)nc12,AP,1,1,1,1,0.7488245973922308,0,1,7.133566887519313
-Cc1cc(NC=O)n[nH]1,AP,1,0,1,1,0.5578008655083114,1,1,8.525501537269342
-CC(=O)Nc1ccn[nH]1,AP,1,1,1,1,0.5692234054682064,1,1,25.0811703939741
-Cc1ccc2ncccc2c1,AP,1,1,1,1,0.5519055037199659,1,1,56.860961252929066
-CC(=O)Nc1cc[nH]n1,AP,1,1,1,1,0.5692234054682064,1,1,37.9951685550753
-N=[S@@](=O)([O-])c1ccc(N/N=C2\C(=O)Nc3ccccc32)cc1,AP,0,0,0,1,0.750561368963537,0,1,45.84616414291877
-N=[S@@](=O)([O-])c1ccc(N/N=C2\C(=O)Nc3ccc(C=O)cc32)cc1,AP,0,0,0,1,0.5745401116450196,0,1,36.9888104757337
-Nc1ncc(S)s1,AP,1,0,1,1,0.5170817506567151,1,1,0.3798179470374201
-Nc1cc2[nH]ccc2cn1,AP,1,1,1,1,0.5658999712435825,0,1,31.192418941068713
-c1ccc2[nH]cnc2c1,AP,1,1,1,1,0.5583728365871126,1,1,39.49652870819706
-O=c1ccc2ccc(O)cc2o1,AP,1,0,1,1,0.5969446160833805,1,1,40.2202979851907
-NC(=O)C1C(=O)NC(=O)NC1=O,AP,1,0,0,0,0.37618966200407594,0,0,-3.5125328682918013
-O=CNc1ncc(S)s1,AP,1,0,1,1,0.5003614800563138,1,0,-11.300389364685149
-Nc1ncc(Br)c(O)n1,AP,1,1,0,1,0.6251610741094917,1,1,15.795511093089155
-Nc1ncnc2c[nH]nc12,AP,1,1,0,1,0.5296759293780585,1,1,20.501163976315876
-O=C1CC(O)=CC=N1,AP,1,1,1,1,0.492388429359408,0,0,-29.070684979542435
-c1cnc2[nH]ccc2n1,AP,1,1,1,1,0.5607362152362961,1,1,25.633471150588832
-O=C1Cc2ccccc2N1,AP,1,1,1,1,0.5653488967385903,1,1,1.0253554500825568
-c1ccc2scnc2c1,AP,1,1,1,1,0.5397735725540235,1,1,40.1634330620127
-O=c1c(O)coc2cc(O)ccc12,AP,1,1,0,1,0.6354873593320908,1,1,29.527753197003847
-Cc1cc(=O)[nH]c2nc(N)ncc12,AP,1,1,0,1,0.6004416363868018,0,1,24.313134522184097
-C[NH+]1CCC(Nc2ncccn2)CC1,AP,1,1,1,1,0.6692877532159137,0,1,55.54670027843155
-c1ccc(Nc2ncccn2)nc1,AP,1,1,0,1,0.7473022593397449,1,1,57.451949335272815
-O=C(c1ccncc1)c1nc2ncccc2[nH]1,AP,1,1,0,1,0.6706882865650794,0,1,59.539156279540755
-Nc1ncc2c(n1)[nH]c1cnccc12,AP,1,1,0,1,0.5489327721439603,0,1,20.357546286846258
-c1ccc(Nc2ncc3cc[nH]c3n2)nc1,AP,1,1,0,1,0.6807693492387813,0,1,65.32233438209079
-c1ccc2cnccc2c1,AP,1,1,1,1,0.5311915584041306,1,1,39.36588766207535
-Clc1cccnc1,AP,1,1,1,1,0.4994929876185537,1,1,31.118626769046976
-Oc1cncc2sccc12,AP,1,1,1,1,0.6243115793086027,1,1,18.231467820069472
-Nc1ncccc1Cl,AP,1,1,1,1,0.572458049351884,1,1,29.98004094229593
-Cc1n[nH]c2cc(O)c(C=O)cc12,AP,1,0,0,1,0.6450160142408264,0,1,22.688449014075395
-c1cnc2ccncc2c1,AP,1,1,1,1,0.5412819114011972,1,1,42.93450337307583
-Cc1ncc2sc(C=O)nn12,AP,1,0,1,1,0.5929771907827713,0,1,6.002428054607666
-Cc1n[nH]c2ncc(C=O)cc12,AP,1,0,1,1,0.6364092334360997,1,1,37.215572127616284
-Nc1n[nH]c2ccc(C=O)cc12,AP,1,0,0,1,0.6115984485301853,1,1,23.598172314766433
-Cc1ccc(Nc2ncc(C#N)cn2)cc1[SH](=O)=O,AP,1,0,0,1,0.8206210479891586,0,1,15.397810112397055
-N#Cc1cnc(Nc2cccc(O)c2)nc1,AP,1,1,0,1,0.7926531573830059,0,1,57.38943539555299
-[NH3+][C@H]1CC[C@H](Nc2ncc(F)cn2)CC1,AP,1,1,0,1,0.7517255258870635,0,1,51.81224709550427
-NC(=S)n1nc(N)nc1N,AP,1,0,0,0,0.39778816334497785,0,1,14.848981281458483
-Nc1ccn[nH]1,AP,1,1,1,0,0.4632257080621317,1,1,13.19404479047151
-O=C1NCCCc2c1[nH]c(Cl)c2Cl,AP,1,1,1,1,0.6880852263853149,0,0,-13.552087347411788
-CN(CCO)c1ncnc2occc12,AP,1,1,0,1,0.7750486048590693,0,1,44.62953424090265
-ON=C1c2ccccc2-c2ccccc21,AP,1,0,1,0,0.43387923375167486,1,1,16.095606372916187
-O=[N+]([O-])c1cccc2ncccc12,AP,1,0,1,0,0.49121081405272493,1,1,51.738661446024224
-c1ccc(-c2n[nH]c3c2Cc2ccccc2-3)cc1,AP,1,1,0,1,0.5329051721218767,0,1,29.96903318567625
-Cc1ccc2c(c1)Cc1c[nH]nc1-2,AP,1,1,1,1,0.5506082576755823,0,1,2.4228263689918763
-NC(=O)Nc1cnccn1,AP,1,1,0,1,0.5712093748835607,0,1,33.662649400269395
-O=c1ccc2cc(Cl)ccc2[nH]1,AP,1,1,1,1,0.6608478832484261,0,1,46.639680533188425
-N#Cc1ccc2cn[nH]c2c1,AP,1,1,1,1,0.6061234099403053,1,1,45.377905776459464
-O=c1ccc2ccccc2[nH]1,AP,1,1,1,1,0.5986881320129136,1,1,36.81069293564177
-O=c1[nH]ccc2ccc3ccccc3c12,AP,1,0,1,1,0.5494642545068136,0,1,36.046936663952124
-Nc1nc2c(s1)C(=O)NCCC2,AP,1,1,0,1,0.6114780498638354,1,0,-19.361706604846685
-CSC1=NCC(=O)N1,AP,1,1,1,1,0.4945629263702222,0,0,-16.03928484530729
-Brc1cnc2[nH]ncc2c1,AP,1,1,1,1,0.6995654942478055,1,1,25.703405907241713
-c1cnc2[nH]ncc2c1,AP,1,1,1,1,0.5607362152362961,1,1,28.64592051860852
-NC(=O)Nc1cccs1,AP,1,1,1,1,0.6085545083181163,1,1,36.59269323057316
-O=c1[nH]nc2cc(CO)c3ccccc3n12,AP,1,1,0,1,0.626341715287401,0,1,42.27200224117352
-O=Cc1cnc2[nH]ncc2c1,AP,1,0,1,1,0.6058571277711334,1,1,13.681850809606447
-c1cc2c(cn1)[nH]c1ncncc12,AP,1,1,1,1,0.5559249024997563,0,1,18.368054227655836
-Nc1cc2cccc(Cl)c2cn1,AP,1,1,1,1,0.6733093458150886,0,1,30.66103422259105
-Cc1[nH]ncc1C(N)=O,AP,1,1,0,1,0.5459629720823942,1,1,26.49151812870542
-Nc1c(Br)cnc2ccnn12,AP,1,1,1,1,0.7115952478146391,0,1,33.54649080002469
-Cn1cc(-c2cnn3c(N)ccnc23)cn1,AP,1,1,0,1,0.6470852515532975,0,1,26.570599983033823
-NC(=O)c1nncc2ccsc12,AP,1,1,0,1,0.7032000860979215,0,1,28.75432507859128
-NC(=O)c1cncc2ccsc12,AP,1,1,1,1,0.7170662313566754,0,1,34.53319349613291
-c1cscn1,AP,1,1,1,0,0.4600956630432944,1,1,10.529788929865203
-COc1cc2c(cc1OC)-c1n[nH]cc1C2,AP,1,1,1,1,0.7122853907559993,0,1,14.601459844456565
-c1ccc2c(c1)Cc1c[nH]nc1-2,AP,1,1,1,1,0.5293697062637044,1,1,6.450797136233181
-COc1cc2c(cc1OC)C1=NN=C(c3ccccc3)C1=C2,AP,1,1,0,1,0.8700849431476747,0,0,-0.3759534881320459
-COc1cc2c(cc1OC)-c1[nH]nc(-c3ccccc3)c1C2,AP,1,1,0,1,0.6265264551361466,0,1,37.53859778781083
-COc1ccc2c(c1)-c1n[nH]cc1C2,AP,1,1,1,1,0.6307168631573826,0,1,7.412765306066133
-O=C1Nc2ccccc2Nc2ccccc21,AP,1,1,1,1,0.7013882665837136,0,1,1.052708969003263
-O=C1Nc2ccccc2Nc2cc(Cl)ccc21,AP,1,1,0,1,0.7427674122224182,0,1,9.083106604892437
-Oc1ccc2c(c1)Cc1c-2n[nH]c1-c1ccccc1,AP,1,1,0,1,0.5423890400040464,0,1,24.698803650982537
-OCc1ccc2c(c1)-c1n[nH]c(-c3ccccc3)c1C2,AP,1,1,0,1,0.5827732443998141,0,1,27.88445147491904
-COc1ccc2c3[nH][nH]cc-3cc2c1,AP,1,1,1,1,0.6021966039912172,0,1,21.436757553073402
-COc1ccc2c(c1)-c1[nH]ncc1C2,AP,1,1,1,1,0.6307168631573826,0,1,14.33015144730047
-CCc1ccc2c(c1)-c1n[nH]cc1C2,AP,1,1,1,1,0.6182362513943631,0,1,2.6351765716589495
-COc1ccc2c(c1)C(=O)N(c1nc(C=O)cs1)C2,AP,1,0,0,1,0.8043865747057712,0,1,1.0257157854101302
-c1ccc2c(c1)cnn2-c1nccs1,AP,1,1,1,1,0.6052285251991171,0,1,47.716145351947546
-NC(=O)c1nccc2nccn12,AP,1,1,0,1,0.63211680429936,0,1,32.32732120636924
-c1cnccn1,AP,1,1,1,0,0.4525571430979931,1,1,15.880211554733458
-Nc1cnccn1,AP,1,1,1,1,0.49531271324374415,1,1,22.138942562870167
-c1cnc2[nH]c3cnccc3c2c1,AP,1,1,1,1,0.5595948629322984,1,1,32.49533985303093
-N#Cc1cc2c(cn1)[nH]c1ncccc12,AP,1,1,0,1,0.5946577079973375,0,1,34.70769822603166
-Nc1ccc(=O)[nH]c1,AP,1,1,1,0,0.49183877337955845,1,1,18.010891071800934
-Nc1ccnc(N)c1,AP,1,1,0,1,0.5014053270919594,1,1,20.73928543605726
-CN1C(=O)c2ccccc2N(C)c2nc(N)ncc21,AP,1,1,0,1,0.7700737617684715,0,1,19.200903443749368
-O=CNc1cccnc1,AP,1,0,1,1,0.58496959071241,1,1,19.73381573087477
-CCNc1nc(N)ncc1C(F)(F)F,AP,1,1,0,1,0.7693314489998826,0,1,28.430167592025846
-CNc1nc(N)nc2[nH]cc(Cl)c12,AP,1,1,0,1,0.6427047099024532,0,1,20.765668675127078
-c1ccc2c(-c3ccncn3)n[nH]c2c1,AP,1,1,1,1,0.6473789295391943,0,1,42.2476674232692
-Nc1ccccn1,AP,1,1,1,1,0.5126510027980979,1,1,26.873424810579362
-N#Cc1c[nH]c2ncccc12,AP,1,1,1,1,0.6061234099403053,0,1,33.995461915121155
-N#Cc1c[nH]c2nc(N)ccc12,AP,1,1,0,1,0.600255192922872,0,1,28.68159599368949
-NC(=O)c1cccc2cc[nH]c12,AP,1,1,1,1,0.6479341807935022,1,1,51.15684287990974
-O=Cc1cc2cccc([N+2](#[O+])[O-])c2[nH]1,AP,1,0,0,0,0.42503121974739155,0,1,14.222556567392655
-NC(=O)c1ccc(-c2cccnc2N)cc1,AP,1,1,0,1,0.7911952636424726,0,1,46.191533167768036
-Nc1ncccc1-c1ccccc1,AP,1,1,1,1,0.7129493456429365,1,1,32.97743676913516
-Nc1ncccc1C=O,AP,1,0,1,1,0.5508463004919965,1,1,20.179272773855683
-Oc1ccc(F)cc1,AP,1,1,1,1,0.5392148187981868,1,1,24.33664661155088
-O=Cc1c[nH]c2ccccc12,AP,1,0,1,1,0.6112724738328874,1,1,43.12823576511014
-O=Cc1cc2cccc([N+](=O)[O-])c2[nH]1,AP,1,0,0,0,0.44591356011968963,1,1,26.78839134619989
-NC(=O)c1ccc2nc[nH]c2c1,AP,1,1,0,1,0.6444934248268473,1,1,51.32623773943941
-c1ccc2nccnc2c1,AP,1,1,1,1,0.5412819114011972,1,1,35.5440912804079
-Cc1cc[nH]n1,AP,1,1,1,0,0.49044689078380066,1,1,18.68420451054827
-Cc1ccc(N)nc1,AP,1,1,1,1,0.5375123323676086,1,1,29.816822798196625
-COc1ccc(CO)nc1,AP,1,1,1,1,0.6513699750723928,1,1,32.11909153793291
-C[NH2+]Cc1ccccn1,AP,1,1,1,1,0.5782968434319768,0,1,49.9579904459498
-c1cnc2c(c1)OCC[NH2+]C2,AP,1,1,1,1,0.5445226972738879,0,1,2.715497287526564
-OCc1ccccn1,AP,1,1,1,1,0.571659552744487,1,1,34.87830536017265
-c1ccc([C@H]2COCC[NH2+]2)nc1,AP,1,1,1,1,0.6211087330514302,0,1,6.978937432764678
-O=CNc1nc2ccccc2[nH]1,AP,1,0,1,1,0.6484659759237619,1,1,29.940419869403552
-Nc1cnc2c(N)nc(N)nc2n1,AP,1,1,0,0,0.4781488392364725,0,1,27.056146535745356
-O=CNc1ccccn1,AP,1,0,1,1,0.58496959071241,1,1,22.587925180664193
-Cc1ccc2nc(N)sc2c1,AP,1,1,1,1,0.6478348406982907,1,1,58.802625093784386
-CN1Cc2ncccc2C1=O,AP,1,1,1,1,0.5413492918348808,1,0,-0.734151250877018
-CCn1cnc2c(N)nc(NC)nc21,AP,1,1,0,1,0.7224098720522533,1,1,37.45122204554523
-N#Cc1ccc2nc(N)[nH]c2c1,AP,1,1,0,1,0.600255192922872,1,1,20.886019086610503
-COc1cncnc1,AP,1,1,1,1,0.5271940515548245,1,1,26.64740103217025
-c1ccc2c(c1)cnn2-c1cnccn1,AP,1,1,1,1,0.5958421165357399,0,1,47.60659306758871
-Nc1nncs1,AP,1,1,1,1,0.5046578314706381,1,1,13.562704486620007
-c1cc2cc3ccc4occc4c3cc2o1,AP,1,1,0,0,0.42953423265480334,0,1,10.950659291515814
-c1cc2c(ccc3ccc4occc4c32)o1,AP,1,1,0,0,0.4295342326548034,0,1,16.855196024869006
-Nc1nc2ccccc2c2cnccc12,AP,1,0,1,1,0.5600791057238473,0,1,35.36475607439318
-Nc1nc2ccccc2c2cncnc12,AP,1,0,0,1,0.5562378776450454,0,1,28.964714140456994
-Nc1nc2ccccc2c2cnc(NC3CC3)nc12,AP,1,0,0,1,0.6834802915130921,0,1,52.80373072989829
-O=C1COc2ccccc21,AP,1,1,1,1,0.5335807824192865,1,1,6.471326311878569
-COc1ccnc(N)n1,AP,1,1,0,1,0.5764414850620967,1,1,34.22222550393414
-Brc1c(Br)c(Br)c2[nH]cnc2c1Br,AP,1,0,0,0,0.47682196754462963,0,1,14.872492554360226
-C(=N/N=C1c2ccccc2-c2ccccc21)\c1ccccc1,AP,1,0,0,0,0.3807930047094249,0,1,50.1553002654808
-O=c1c(O)coc2c(Br)cc(Br)cc12,AP,1,1,0,1,0.8117280597296577,0,1,31.27810728020629
-O=CNc1nccs1,AP,1,0,1,1,0.5958642065098606,1,1,12.76167041115216
-Brc1c(Br)c(Br)c2n[nH]nc2c1Br,AP,1,0,0,1,0.5027847231791066,0,1,6.647969386256651
-Cc1ccc(O)cc1,AP,1,1,1,1,0.5359354364287862,1,1,25.918361055933115
-Nc1ccccc1,AP,1,0,1,0,0.48007546344555985,1,1,23.741301320833813
-c1ccccc1,AP,1,1,1,0,0.4426283718993647,1,1,11.619019164323166
-O=C([O-])CCS,AP,1,0,1,0,0.460124511692713,1,1,7.573041994040148
-Cc1ccccc1,AP,1,1,1,0,0.4588062796575454,1,1,28.08176256853769
-Sc1ncnc2sccc12,AP,1,0,1,0,0.48053200058472534,1,1,15.581559565798957
-O=c1c(O)coc2c(Cl)cc(Cl)cc12,AP,1,1,1,1,0.7577462748353843,0,1,30.139137469369402
-COc1ccccc1O,AP,1,1,1,1,0.6127725486570803,1,1,32.61513906686136
-N/C=C1\C(=O)CCc2c1oc1c(Cl)c(Cl)c(O)cc21,AP,1,0,0,1,0.7318457367455939,0,0,-25.98532709409548
-CCO,AP,1,1,1,0,0.40680796565539457,1,1,9.89095474709779
-CC(C)=O,AP,1,1,1,0,0.3982369618339747,1,1,13.561592886364918
-COc1cc(C)ccc1O,AP,1,1,1,1,0.6397107129957217,1,1,38.82700210531711
-CC=O,AP,1,0,1,0,0.35500761339323206,1,1,1.755472309128927
-c1ccn(-c2cnccn2)c1,AP,1,1,1,1,0.6045482615564558,0,1,39.826298256299715
-c1ccc2ocnc2c1,AP,1,1,1,1,0.5283477685064296,1,1,21.284420970438614
-O=C1N=Cc2ccc3cc[nH]c3c21,AP,1,1,1,1,0.6426396539634639,0,0,-10.81802886160715
-O=CNc1c[n+]2ccccc2[nH]1,AP,1,0,1,0,0.48464755329986575,0,1,12.412615144017295
-c1ccc(-c2coc3cccnc23)cc1,AP,1,1,0,1,0.5936046836183696,0,1,40.5600045503122
-c1cnc2c(-c3cn[nH]c3)coc2c1,AP,1,1,1,1,0.6319479937428737,0,1,31.563836883560963
-c1cnc2ccoc2c1,AP,1,1,1,1,0.5283477685064296,1,1,34.64601275809648
-Nc1c2ccncc2cc2cncnc12,AP,1,0,0,0,0.43922061999828477,0,1,18.428590004432255
-O=CNc1cn2ccccc2n1,AP,1,0,1,1,0.665021032105557,1,1,29.183561009943897
-CNc1nc(NC)c2cc[nH]c2n1,AP,1,1,0,1,0.6409223605685803,0,1,40.04995612838665
-Cc1[nH]nc2ccccc12,AP,1,1,1,1,0.5820392325335272,1,1,42.180746716249125
-c1cc2c(cn1)ncc1nc[nH]c12,AP,1,1,1,1,0.5559249024997563,0,1,23.13107277453493
-Nc1ncc2ccccc2n1,AP,1,1,1,1,0.6058167298330609,1,1,34.23101428298383
-Cc1[nH]c(C)c(C(N)=O)c1C,AP,1,1,1,1,0.6202003064292458,1,1,29.048112425912706
-O=C1Nc2ccccc2/C1=C1/Nc2ccccc2/C1=N\O,AP,1,0,0,0,0.3935462415947194,0,1,2.924269680022339
-CNc1cc(Nc2cc[nH]n2)ncn1,AP,1,1,0,1,0.6721361873504119,0,1,46.0140563066935
-c1ccc2c(Nc3cc[nH]n3)ncnc2c1,AP,1,1,0,1,0.6807693492387814,0,1,76.00911563474507
-O=C1Cc2cc([SH](=O)=O)ccc2N1,AP,1,0,0,1,0.629867607422446,1,0,-29.36148928845496
-c1ccc(-c2cnn3cccnc23)nc1,AP,1,1,1,1,0.5955662090680088,0,1,38.25849766556644
-c1ccc(-c2cnc3cccnn23)cc1,AP,1,1,1,1,0.5964591305372113,0,1,44.709655200731625
-O=c1c2cccc3cccc(c32)c2nc3ccccc3n12,AP,1,1,0,0,0.430721686152204,0,1,21.434283372492278
-c1cnc2occc2c1,AP,1,1,1,1,0.5283477685064296,1,1,24.292849614592427
-COc1ccc2cccnc2c1,AP,1,1,1,1,0.6362244803453474,1,1,63.72153642279395
-NC(=O)c1ccc(Nc2nsnc(N)c2=O)cc1,AP,1,1,0,1,0.7322805757208465,0,1,58.17560110356984
-Nc1ccc(O)c2c1C(=O)c1ccccc1C2=O,AP,0,0,0,0,0.46232305652695316,0,1,25.262731182768114
-N/C=C\C=O,AP,1,0,1,0,0.3391518104041194,0,0,-26.748981655411896
-O=C1c2ccccc2S(=O)(=O)c2ccccc21,AP,1,1,1,1,0.6079192709799832,0,1,25.236378141784453
-Cc1cc(C)c(C)[nH]1,AP,1,1,1,1,0.5237077195676505,1,1,25.299896245674983
-CC[C@H]1Nc2nc(N)ncc2N(C)C1=O,AP,1,1,0,1,0.6880711012244716,0,0,-6.770268428928442
-Cc1ccc2[nH]c3cc(C)c4c(c3c2c1)C(=O)NC4=O,AP,1,0,0,1,0.6132050605900524,0,1,13.396051799454497
-c1cnn2ccnc2c1,AP,1,1,1,1,0.511375604737478,1,1,40.334406154000206
-O=S(=O)([O-])c1cccc2ccccc12,AP,1,0,1,1,0.6691114616025358,0,1,61.876174111559784
-O=c1c(O)coc2cc(O)cc(O)c12,AP,1,1,0,1,0.5793678982921999,0,1,26.761739788953893
-O=c1ccoc2cc(O)ccc12,AP,1,1,1,1,0.6381292477972546,1,1,30.35022616058582
-O=c1[nH]ccc2c3[nH]cnc3c3ccc(F)cc3c12,AP,1,0,0,0,0.47318337036668806,0,1,21.436736576116083
-Clc1ccccc1,AP,1,1,1,0,0.4833833263681997,1,1,28.62182911813474
-N#Cc1ccnc(N)c1,AP,1,1,0,1,0.5415838765407543,1,1,27.34676309591308
-O=CNc1cc(C=O)ccc1Cl,AP,1,0,1,1,0.7257372882597749,1,1,15.193866836217639
-COc1ncc2cc(C(N)=O)c(=O)[nH]c2n1,AP,1,1,0,1,0.7032282448541967,0,1,26.38619698118735
-Clc1cccc2c1[nH]c1c3ccccc3ncc21,AP,1,1,0,0,0.4896219146285638,0,1,32.57676646403178
-Brc1cccc2c1[nH]c1c3cc(I)ccc3ncc21,AP,1,0,0,0,0.3856660231018692,0,1,50.92856435293646
-COc1ccc2c(c1)[nH]c1c(Cl)nccc12,AP,1,0,0,1,0.6534721381343886,0,1,38.22625373929409
-Oc1ccc2scnc2c1,AP,1,1,1,1,0.6243115793086027,1,1,21.748967642470582
-COc1ccc2scnc2c1,AP,1,1,1,1,0.6464980790240891,1,1,47.07998808560331
-Nc1nc2cc(F)ccc2s1,AP,1,1,1,1,0.6531640436517764,1,1,45.5264796575088
-CN1C(=O)[C@H]2CCC[C@H]2Nc2nc(N)ncc21,AP,1,1,0,1,0.6857530601978195,0,0,-25.691337052375122
-O=c1ccc2cnc3ccccc3c2[nH]1,AP,1,0,1,1,0.5593129802818303,0,1,31.70363083605886
-Nc1csc(Nc2ccccc2)n1,AP,1,1,1,1,0.7662685188653234,0,1,56.03606777858777
-CN(c1ncccn1)C1CC1,AP,1,1,1,1,0.629590507407924,0,1,35.705863062376935
-CN(C)c1ncccn1,AP,1,1,1,1,0.5455045236550637,1,1,29.57767030306427
-CN(c1ccccc1)c1ncccn1,AP,1,1,1,1,0.7181076700707854,0,1,48.09267435742567
-F[C@H]1CCN(c2ncccn2)C1,AP,1,1,1,1,0.625049462936144,0,1,6.964333180974927
-O=C1Nc2c(Br)cccc2/C1=C1/Nc2ccccc2/C1=N\O,AP,1,0,0,0,0.38477623939536576,0,1,1.912606634232301
-[H]/N=C(\OC)c1nc2ccc3ncncc3c2s1,AP,1,0,0,1,0.5259149806335668,0,1,19.59950606618548
-COc1cc(/C=C\C(O)=C\C(C)=O)ccc1O,AP,1,0,0,0,0.4767748429001888,0,1,42.231188702714945
-CC(=O)c1cc(O)ccc1O,AP,1,0,1,0,0.47069942696698025,1,1,37.0114497433582
-COc1cc(/C=C/C(=O)CC(C)=O)ccc1O,AP,1,0,0,1,0.6245016157875595,0,1,67.67031904593044
-Nc1ncnc2ccc(O)cc12,AP,1,1,0,1,0.6021584656082188,1,1,22.574359119487806
-Nc1ncnc2ccccc12,AP,1,1,1,1,0.6058167298330609,1,1,40.815128069192745
-COc1cc2ncnc(N)c2cc1O,AP,1,1,0,1,0.7001948102877024,1,1,24.28013783672435
-Nc1ncnc(N)c1/C=N/N1CCCCC1,AP,1,0,0,1,0.7061315859333452,0,1,27.296101541827376
-COCCO/N=C/c1c(N)ncnc1N,AP,1,0,0,0,0.39076161027888473,0,1,26.726986387409358
-Nc1nccc(-c2cnc3sccn23)n1,AP,1,1,0,1,0.6691744228261979,0,1,36.80065921382246
-Nc1ncnc2cc[nH]c12,AP,1,1,0,1,0.5521636672820287,1,1,19.19727733426521
-COc1ccc2c(N)ncnc2c1,AP,1,1,0,1,0.7074490127268824,1,1,44.78203087954279
-Nc1ncnc2c1C=C(C=O)CCN2,AP,1,0,0,1,0.6284775193769454,0,0,-36.18973554441223
-COc1cc2ncnc(N)c2cc1N,AP,1,0,0,1,0.6493385179694189,1,1,25.320531064454304
-c1cc(Nc2cc3[nH]ccc3cn2)ncn1,AP,1,1,0,1,0.6807693492387814,0,1,54.46436694029578
-Nc1cc2nc[nH]c2cn1,AP,1,1,0,1,0.5521636672820287,0,1,22.433077965845204
-c1cc(Nc2cc3[nH]cnc3cn2)ncn1,AP,1,1,0,1,0.6723553652119783,0,1,44.65322257350211
-Cc1nc2cnc(Nc3ccncn3)cc2[nH]1,AP,1,1,0,1,0.6961021209218318,0,1,48.48331695627207
-Cn1cccn1,AP,1,1,1,0,0.44321566985872485,1,1,18.643863083632382
-NC(=O)c1c(N)cc[nH]c1=O,AP,1,1,0,0,0.48457281890934045,0,1,18.569355816287157
-NC(=O)c1ccc[nH]c1=O,AP,1,1,0,1,0.5471119678163343,1,1,35.379829508274355
-c1cc(Nc2cc3[nH]ncc3cn2)ncn1,AP,1,1,0,1,0.6723553652119783,0,1,49.1096920610702
-Nc1ccn2ncc(C=O)c2n1,AP,1,0,0,1,0.6043872097264326,1,1,12.863395460050977
-Nc1ncc2nc(N)[nH]c2n1,AP,1,1,0,0,0.4697309637708927,0,1,16.204655343194702
-Nc1nc2cncnc2[nH]1,AP,1,1,0,1,0.5296759293780585,1,1,15.123903767047503
-Nc1ncc(Cl)c(O)n1,AP,1,1,0,1,0.5550594151831963,1,1,12.732659116951607
-Nc1ncc2c(n1)N(C1CCCCC1)C(=O)NC2,AP,1,1,0,1,0.7856984290318001,0,0,-1.4041934664332891
-Oc1ncnc2[nH]ccc12,AP,1,1,0,1,0.5574861322491763,0,1,22.22890494562535
-COc1ccc2ncc(C#N)c(N)c2c1,AP,1,1,0,1,0.7581835954611301,1,1,50.20048430912376
-Cn1c(=O)[nH]c(=O)c2c1nc1[nH]ccn12,AP,1,1,0,1,0.5033927489403338,0,1,31.310626383019397
-O=C[C@H]1CN/C(=N/c2ccccc2)S1,AP,1,0,1,1,0.7468395492659137,0,0,-0.5118690196602464
-Cn1ncc2c(N)ncnc21,AP,1,1,0,1,0.5695517474821745,1,1,29.792433095095458
-Nc1ncnc2[nH]c(=O)c3c(c12)CCCC3,AP,1,1,0,1,0.6810899035113528,0,1,28.8685825971907
-Cc1cc(C(N)=O)c(N)s1,AP,1,1,0,1,0.6291720029803116,1,1,22.768632379968615
-COc1ccc2ncnc(N)c2c1,AP,1,1,0,1,0.7074490127268824,1,1,45.559764421979935
-Nc1ccc2c(c1)CC(=O)N2,AP,1,0,1,1,0.5335842441606689,1,1,13.954728473745426
-CCn1ccc2ncnc(N)c21,AP,1,1,1,1,0.6810125915320953,0,1,25.40849840451585
-C=C1C=c2c(N)ncnc2=CC1,AP,1,1,1,1,0.5590480809457845,0,0,-46.487045221684745
-Nc1ccc2n[nH]c(-c3ccncc3)c2c1,AP,1,0,0,1,0.6049001299997127,0,1,37.3903706575528
-Nc1n[nH]c2nnccc12,AP,1,1,0,1,0.5296759293780585,0,1,18.084859487787902
-C=CCn1nc(N)c2ccnnc21,AP,1,0,0,1,0.6781586341578342,0,1,15.384248038904907
-Cc1cnc(N)nc1,AP,1,1,1,1,0.5231996621282303,1,1,22.37665995608593
-O=Cc1ccc[nH]1,AP,1,0,1,1,0.5146079614659195,1,1,17.32018965896979
-N#Cc1scc2c1CCc1cnc(N)nc1-2,AP,1,1,0,1,0.7450179371128558,0,1,14.410083172343935
-Cc1cncnc1,AP,1,1,1,0,0.4745494696119243,1,1,22.59627110396408
-Oc1cccc(Nc2ncccn2)c1,AP,1,1,0,1,0.7537107288350713,0,1,64.59564760962718
-Cc1ccc([O-])c([O-])c1,AP,1,1,1,0,0.4910746253980686,0,1,21.27385875839135
-Nc1ncc2c(n1)CN(C=O)CC2,AP,1,0,0,1,0.5923197571926105,1,0,-2.2383313851711217
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-Nc1ccc(Cl)cn1,AP,1,1,1,1,0.572458049351884,1,1,30.231963439039387
-c1ccc2c(-c3ccncc3)n[nH]c2c1,AP,1,1,1,1,0.6480917393206026,0,1,44.543541136891186
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-O=CNc1ncc([N+2](#[O+])[O-])s1,AP,1,0,0,0,0.41196502689015163,0,1,5.1089230573118485
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-CC1(C)CC(=O)C2=C(C1)Nc1n[nH]cc1[C@]2(C)c1ccccc1,AP,1,1,0,1,0.8425878500648177,0,0,-0.14021777795075407
-CC(=O)Nc1n[nH]c2ncccc12,AP,1,1,0,1,0.6781550776639943,1,1,53.388142403736495
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-O=c1c([O-])coc2cc([O-])cc([O-])c12,AP,1,1,0,1,0.5320142384071354,0,1,16.836183822678855
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-c1cocn1,AP,1,1,1,0,0.4472609802175263,1,1,13.048396986956337
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-C=C(Cl)/C=C/C(=C)c1ncc(F)cn1,AP,1,0,1,1,0.7172839559053517,0,0,-24.46991840356676
-[H]/N=C/C(Cl)=C\CC,AP,1,0,1,1,0.5363678760828675,0,0,-14.08515745342807
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-O=c1cc[nH]c2ncccc12,AP,1,1,1,1,0.6003509616659684,0,1,38.4739746086882
-O=c1cc[nH]c2cc(F)ccc12,AP,1,1,1,1,0.6291007084068679,0,1,38.47297791117984
-Nc1nc2ccc(C=O)cc2n2ccnc12,AP,1,0,0,1,0.6164181468731331,1,1,24.140014108740164
-c1ccc2c(-c3ccncc3)[nH]nc2c1,AP,1,1,1,1,0.6480917393206026,0,1,46.15423288985528
-c1ccc(-c2n[nH]c3ccccc23)cc1,AP,1,1,0,1,0.6326173123272912,0,1,41.19481750518172
-c1cnc2ccc3ccncc3c2c1,AP,1,0,1,1,0.49697997034545155,0,1,41.79816925408619
-N#Cc1c(N)sc2c1CCNC2,AP,1,1,0,1,0.6202725706736701,1,1,4.327681071563111
-N#Cc1c(N)sc2c1CCCC2,AP,1,1,1,1,0.6608756643915483,1,1,36.73731553282585
-c1cc(-c2cc[nH]n2)c[nH]1,AP,1,1,1,1,0.6064413143460023,0,1,27.739865078355812
-O=c1[nH]ccc2cc(Cl)ccc12,AP,1,1,1,1,0.6608478832484261,1,1,33.54359296395698
-O=c1[nH]ccc2cc(Br)ccc12,AP,1,1,1,1,0.7310607673921075,0,1,39.95803428831915
-c1ccn2ccnc2c1,AP,1,1,1,1,0.5098151396252019,1,1,45.08346027343898
-CN1C(=O)/C(=N/O)c2cc(F)ccc21,AP,1,0,1,1,0.49406531131808884,0,1,23.524309337623645
-Cc1cccc2c1/C(=N/O)C(=O)N2C,AP,1,0,1,1,0.4925127402484881,0,1,10.079475679197062
-CN1C(=O)/C(=N\O)c2ccccc21,AP,1,0,1,0,0.470115715716481,0,1,29.68983449060841
-COC(=O)c1sccc1NC(C)=O,AP,1,1,1,1,0.7340627045137305,1,1,70.34027670359042
-Cc1csc(N)c1,AP,1,1,1,1,0.5434730936195056,1,1,11.422915882432605
-N#Cc1csc(N)c1,AP,1,1,1,1,0.5646005976337982,0,1,15.832680010138816
-Nc1ncc2ccc(=O)[nH]c2n1,AP,1,1,0,1,0.5660876995210078,1,1,19.127724559188476
-Nc1ncncn1,AP,1,1,0,0,0.47046319347029714,1,1,8.511600015196265
-COc1cc2nccc(O)c2cc1OC,AP,1,1,0,1,0.8137420678962776,1,1,38.93670410070267
-COc1ccc2c(O)ccnc2c1,AP,1,1,1,1,0.7198219434590417,1,1,40.05714861852347
-Nc1ncnc2[nH][nH+]cc12,AP,1,1,0,1,0.5047395663377142,0,1,17.448071559504108
-Nc1ccnc2occc12,AP,1,1,1,1,0.5922099720914725,0,1,15.532519165530747
-c1cn2cncc2cn1,AP,1,1,1,1,0.511375604737478,1,1,37.17234701199446
-c1ccc2c(c1)ncc1cncn12,AP,1,1,1,1,0.5140104117712739,0,1,40.72265790798527
-NC(=O)c1nccnc1N,AP,1,1,0,1,0.5284027360700222,1,1,33.24092163653578
-Cc1ccn2nc(N)c(C(N)=O)c2n1,AP,1,1,0,1,0.6469408549406493,0,1,33.934017239047186
-CCc1ccn2ncc(C(N)=O)c2n1,AP,1,1,0,1,0.7440161323348348,0,1,43.84752433938077
-NC(=O)c1c(N)ncn2ncnc12,AP,1,1,0,1,0.5694313993884819,0,1,29.434304236803808
-NC(=O)c1c(N)nn2cccnc12,AP,1,1,0,1,0.6076265513408879,0,1,39.99810416929984
-c1cc2nccn2cn1,AP,1,1,1,1,0.511375604737478,0,1,36.9544973976977
-O=Cc1ccc(Cl)cc1,AP,1,0,1,1,0.5466495888095015,1,1,28.69582478563496
-O=c1[nH]cn[nH]1,AP,1,1,0,0,0.42844332557543574,1,1,10.373457736583681
-Cc1ccn2ncc(C(N)=O)c2n1,AP,1,1,0,1,0.6710390832770573,1,1,47.67840609778362
-COc1nc(N)ncc1C=O,AP,1,0,0,1,0.5990284063792224,1,1,13.64607057820002
-Nc1ncc2c(=O)[nH]c3nc4ccccc4n3c2n1,AP,1,1,0,0,0.4793399096286216,0,1,36.2411527001229
-O=C1NN=Cc2c[nH]c3cccc1c23,AP,1,1,1,1,0.6370950068779295,0,0,-39.65602958746194
-Cc1cc(C)c(/C=C2\C(=O)Nc3ccc([SH](=O)=O)cc32)[nH]1,AP,1,0,0,1,0.586916121118565,0,0,-19.111897763188978
-COc1ccccc1C1=C(N)C(=O)NC1=O,AP,1,0,0,1,0.6855832094050223,0,1,11.804449815438199
-O=c1[nH]ccc2ccc(Cl)cc12,AP,1,1,1,1,0.6608478832484261,0,1,34.43437040053819
-CCNC(=O)C#Cc1ccc2c(c1)NC(=O)/C2=C(\N)c1ccccc1,AP,1,0,0,1,0.5808197355839485,0,1,32.19794177882042
-N#Cc1c[nH]c2c(C(N)=O)cccc12,AP,1,1,0,1,0.6977890276387203,1,1,32.86058834278822
-c1c[nH]c2nccc-2c1,AP,1,1,1,1,0.5577469355652159,1,1,31.101604651720496
-Cc1cc2cccnc2[nH]1,AP,1,1,1,1,0.5820392325335273,1,1,37.09850457103153
-O=C1c2ccccc2CN1c1ccccn1,AP,1,1,1,1,0.7228082495596216,0,1,10.304894845747071
-NC(=O)c1ccoc1,AP,1,1,1,1,0.5690629874470592,1,1,31.356144308341094
-NC(=O)c1cscn1,AP,1,1,1,1,0.5886866200086456,1,1,25.797585096785465
-O=CNc1ccccc1,AP,1,0,1,1,0.5860752448837414,1,1,21.504630601388737
-c1ccc(-c2cnc3ccccc3c2)nc1,AP,1,1,0,1,0.6101536066340421,0,1,56.7978370097329
-Fc1ccccc1-c1ccccn1,AP,1,1,1,1,0.6457234088217383,0,1,41.72344984677719
-Cc1cnc2ccnn2c1Nc1ccccc1,AP,1,1,1,1,0.7274055269961206,0,1,57.773723993859164
-CNC(=O)c1cc2ccc(-c3ccccc3O)cc2s1,AP,1,1,0,1,0.7541684510959002,0,1,44.4245592068789
-Nc1ccn(-c2ccccc2)n1,AP,1,1,1,1,0.6840470334583565,1,1,40.78416068955776
-c1cnc(-c2ccc3c(c2)OCO3)nc1,AP,1,1,0,1,0.7044715685278581,0,1,56.23247491198411
-c1cc2ncc3c(n2n1)NCC3,AP,1,1,1,1,0.6163888513476422,0,1,8.870612932761166
-CCN1C(=O)C(C)(C)c2cnc(N)nc21,AP,1,1,0,1,0.7338508009031561,0,1,12.64429911730252
-CC1(C)C(=O)N([C@H]2C=Cc3c(O)cccc32)c2nc(N)ncc21,AP,1,1,0,1,0.8418833787321384,0,0,-31.273671653427133
-O=CNc1[nH]nc2c1CNC21CC1,AP,1,0,0,1,0.561159311241661,0,0,-26.389250751449943
-Nc1[nH]nc2c1-c1[nH]ncc1CC2,AP,1,1,0,1,0.5441887377802183,0,1,11.01556472741383
-O=C(Nc1ccccc1)c1ccccc1O,AP,1,1,1,1,0.8052241874500292,1,1,86.72379437649379
-COc1ccccc1C(N)=O,AP,1,1,1,1,0.6790575842877806,1,1,52.52750096104229
-NC(=O)c1ccc(Br)cc1,AP,1,1,1,1,0.7335677023431018,1,1,47.43270407772773
-NC(=O)c1ccc(F)cc1,AP,1,1,1,1,0.617349147480984,1,1,40.5071137931536
-c1ccc(-n2cccn2)cc1,AP,1,1,1,1,0.5970666437894959,1,1,50.51649797573513
-CN1Cc2cnc3cccnc3c2N(C2CCCCC2)C1=O,AP,1,1,0,1,0.8106995723040064,0,1,22.124364069735133
-O=C1NCc2cnc3ccccc3c2N1C1CCCCC1,AP,1,1,0,1,0.8677509527460489,0,1,17.76317645553022
-CC1(C)C(=O)N([C@H]2CCc3c(O)cccc32)c2nc(N)ncc21,AP,1,1,0,1,0.8409814687252826,0,0,-4.67779394805253
-CC(C)n1cnc2cncnc21,AP,1,1,1,1,0.6363187506013845,1,1,25.776940279280524
-CCCCNc1ncc2cn[nH]c2n1,AP,1,0,0,1,0.7196512867385867,0,1,37.25767959372038
-CCCCNc1nccc(N)n1,AP,1,0,0,1,0.661038316347867,1,1,47.65425262989739
-O=C1CCCCNc2ncc3ccn(c3n2)CCCN1,AP,1,1,0,1,0.7633710723002689,0,0,-48.529096352718845
-NC(=O)c1ncc[nH]1,AP,1,1,0,1,0.5128254311845627,1,1,19.17207317524455
-CNS(=O)(=O)c1ccc2c(c1)CC(=O)N2,AP,1,1,0,1,0.7500463212537136,1,1,45.88964919406906
-CS(=O)(=O)c1ccc2c(c1)CC(=O)N2,AP,1,1,0,1,0.7388541960821317,0,1,37.57079001680377
-Cc1cnc2ccccc2c1,AP,1,1,1,1,0.5519055037199659,1,1,53.44240044072394
-Sc1ccc2ncccc2c1,AP,1,0,1,1,0.5857003735891695,1,1,18.65476228104047
-FC(F)(F)c1ccc2nccnc2c1,AP,1,1,1,1,0.6498418456997441,0,1,51.227884397081205
-COc1cnc2c(N)ccnc2c1,AP,1,1,0,1,0.7074490127268824,0,1,26.92168797494211
-O=c1c2ccccc2ccc2ncccc12,AP,1,1,1,1,0.5669906213972664,0,1,46.396112474766966
-CCc1ccc2ncccc2c1,AP,1,1,1,1,0.6199049022830793,1,1,64.7419975113864
-Nc1cc(C(F)(F)F)cc2ncccc12,AP,1,0,1,1,0.6817208544650085,0,1,41.353865022553016
-FC(F)(F)c1ncc2cccnc2n1,AP,1,1,1,1,0.651217295402963,0,1,38.39342293153224
-Nc1ncc2ccoc2c1O,AP,1,1,0,1,0.5897084704966266,0,1,14.888611974362789
-c1ccc(-c2ncccn2)cc1,AP,1,1,1,1,0.6317729528591786,0,1,46.91309695081389
-O=C(O)Nc1ccccc1,AP,1,1,1,1,0.6193250852042754,1,1,26.440530934704903
-COc1cnc2ccccc2c1,AP,1,1,1,1,0.6362244803453474,1,1,57.51262676234636
-CCn1ccc2ncccc2c1=O,AP,1,1,1,1,0.6548823080261188,0,1,57.33016407543649
-COc1ccccc1,AP,1,1,1,1,0.5316253154127668,1,1,34.591252979338954
-NC(=O)c1ccsc1N,AP,1,1,0,1,0.5965705742077709,1,1,24.440683183625254
-Nc1c[nH]nc1-c1ccccn1,AP,1,1,0,1,0.654849412351787,1,1,31.53718663723962
-CN1C(=O)c2sccc2N(C)c2nc(N)ncc21,AP,1,1,0,1,0.7770299556135112,0,1,4.367024117159863
-COc1cc2c(N)c(C#N)cnc2cc1O,AP,1,1,0,1,0.7496596432208149,1,1,25.718971299230862
-Cc1nccc(Nc2nccs2)n1,AP,1,1,0,1,0.7900926386095471,0,1,57.85478760295637
-Nc1ncc(C(F)(F)F)c(N)n1,AP,1,1,0,1,0.6112265232501427,1,1,20.796228409672437
-Nc1ncnc2cc(O)cc(O)c12,AP,1,1,0,1,0.5482628776098761,0,1,18.521007417210892
-Cc1cc(C)c(C[C@H]2C(=O)Nc3ccc(F)cc32)[nH]1,AP,1,1,0,1,0.8540039363158204,0,1,22.2064883489584
-N#Cc1cnc2ccc(N)cc2c1N,AP,1,0,0,1,0.603192171220504,0,1,35.83112375075842
-Nc1ncc2c(=O)[nH][nH]c2n1,AP,1,1,0,0,0.4597512677791772,0,1,9.091079218982168
-Cn1ncc2c1-c1nc(N)ncc1CC2(C)C,AP,1,1,0,1,0.7387279676875568,0,0,-1.4580231072745558
-Nc1nccnc1-c1ccccc1,AP,1,1,1,1,0.7103828943707656,1,1,33.24466839091776
-Nc1nccnc1N1CCCCC1,AP,1,1,0,1,0.6979862058352387,0,1,35.15525468963418
-Nc1ncc(O)cn1,AP,1,1,0,0,0.48447474430415927,1,1,12.219630369273307
-CCn1c(=O)ccc2cnc(N)nc21,AP,1,1,0,1,0.7056449265670108,1,1,25.510879031412948
-CCNc1ncc2ccc(=O)[nH]c2n1,AP,1,1,0,1,0.732649109047015,0,1,29.494953751865015
-CNc1ncc2ccc(=O)[nH]c2n1,AP,1,1,0,1,0.6577193346681939,1,1,20.926972744662468
-CNc1ccnc(N)n1,AP,1,1,0,1,0.5569791707820108,1,1,30.28729494101149
-CC1(C)c2[nH]nc(NC=O)c2CN1C=O,AP,1,0,0,1,0.6956226292510118,0,0,-27.0315830300132
-CCN,AP,1,1,1,0,0.40623709538988323,1,1,5.092217189432304
-Brc1cnc2nc[nH]c2c1,AP,1,1,1,1,0.6995654942478055,1,1,34.153225479096925
-O=Cc1ccc2c(c1)/C(=C(\c1ccccc1)c1ncc[nH]1)C(=O)N2,AP,1,0,0,1,0.57577787681894,0,1,26.94163482515218
-C[C@H]1C(=O)Nc2ccc(F)cc21,AP,1,1,1,1,0.624398649458776,0,1,4.135483613436458
-Nc1nccnc1N,AP,1,1,0,0,0.4777611922776153,1,1,16.42429895790722
-Nc1ncc(Br)c(N)n1,AP,1,1,0,1,0.6187185795183503,1,1,22.3016681024189
-CCC1=c2cc(O)ccc2=NC1=O,AP,1,1,1,1,0.6583346805779838,0,0,-1.5857561094515915
-CC[C@H]1C(=O)Nc2ccccc21,AP,1,1,1,1,0.6712681072480746,1,1,0.7563407047174522
-CC1=c2cc(NC(N)=O)ccc2=NC1=O,AP,1,1,0,1,0.6448828166659134,0,1,18.50762331786835
-NC(=O)c1n[nH]c2c1CCc1cnc(N)nc1-2,AP,1,1,0,1,0.6171063635935327,0,1,24.568387369213415
-COc1ccc2ncc3c(N)nccc3c2c1,AP,1,0,0,1,0.6457248335519116,0,1,39.5502203843938
-COc1cc2ncc3c(N)nccc3c2cc1OC,AP,1,0,0,1,0.7117877305656993,0,1,36.62959859304667
-O=c1[nH]cc(C#CC2CC2)c2ncc3ccccc3c12,AP,1,0,1,1,0.4987757641815061,0,1,25.76598466152392
-O=c1[nH]ccc2ccccc12,AP,1,1,1,1,0.5986881320129136,1,1,37.56946665426815
-Cn1ccc2c(N)ncnc21,AP,1,1,1,1,0.5931799319976649,1,1,28.249430483032494
-Cc1nc(N)c2ccn(C)c2n1,AP,1,1,1,1,0.6246362253213364,0,1,28.824799943595195
-O=c1ccoc2c(-c3ccccc3)cccc12,AP,1,1,0,1,0.6307722261623976,0,1,29.828308745281337
-CC(=O)c1ccccc1,AP,1,1,1,1,0.5170467542625543,1,1,38.84580119823231
-Oc1ccc(Br)cc1,AP,1,1,1,1,0.6366834808262342,1,1,29.726792005619178
-Cc1ccncc1,AP,1,1,1,0,0.4719983679006756,1,1,26.636077101778625
-Cc1cccc(-c2cnccn2)c1,AP,1,1,1,1,0.6565711477527443,1,1,55.56661520943784
-Clc1ccc(-c2onc3ccccc23)cc1,AP,1,1,0,1,0.6266308985958802,0,1,52.1115431324881
-FC(F)(F)c1ccccc1,AP,1,1,1,1,0.5274607455911079,1,1,36.437699073802
-c1ccc(-c2c[nH]c3ccccc23)cc1,AP,1,1,0,1,0.6040935790801766,0,1,49.39763884944692
-Cc1ccc2sc3c(=O)[nH]cnc3c2c1,AP,1,1,1,1,0.6270117023586184,0,1,36.54365040627674
-O=c1[nH]cnc2c1sc1ccc(Cl)cc12,AP,1,1,1,1,0.6524578552204652,0,1,40.03121462833832
-Cc1ccc(-c2ccc3ccccc3c2)o1,AP,1,1,0,1,0.5770279698576293,0,1,59.114366474192494
-Brc1ccc2occc2c1,AP,1,1,0,1,0.6314608363758356,1,1,50.169534321729465
-COc1cc(Br)cc2ccoc12,AP,1,1,0,1,0.7457580467995641,1,1,37.288138122929276
-Nc1cncc(-c2ccc3occc3c2)n1,AP,1,1,0,1,0.6710826935364155,0,1,45.11954726203739
-c1ccc(-c2n[nH]c3ncccc23)cc1,AP,1,1,1,1,0.6480917393206026,0,1,52.103206889044245
-Cc1c[nH]c2ccccc12,AP,1,1,1,1,0.5649684553619617,1,1,37.174668816692694
-Oc1ccc(Cl)cc1,AP,1,1,1,1,0.5671077548351335,1,1,25.75352107550546
-Oc1cccc2cccnc12,AP,1,1,1,1,0.614103356782718,1,1,40.33376219070917
-Cc1cccc(C(F)(F)F)c1,AP,1,1,0,1,0.546827691373411,1,1,47.48608608395407
-FC(F)(F)Oc1ccccc1,AP,1,1,1,1,0.6161869793338142,1,1,45.07593339309071
-O=c1[nH]cnc2c1oc1ccc(Br)cc12,AP,1,1,1,1,0.6786515085391999,0,1,44.2184390624844
-CC(C)(C)C,AP,1,1,1,0,0.4105781835342534,1,1,11.33898174575638
-c1ccsc1,AP,1,1,1,0,0.44892664601443366,1,1,9.194709627715325
-Fc1ccccn1,AP,1,0,1,0,0.443381981599025,1,1,24.857630129563503
-Cc1cccc(OC(C)C)c1,AP,1,1,1,1,0.6295311826395145,1,1,59.359363521515746
-Cc1ccc(O)c([N+2](#[O+])[O-])c1,AP,1,0,0,0,0.45752720633688077,0,1,23.227167717852822
-CCNc1cccc2c1C(=O)c1c(O)ccc(O)c1C2=O,AP,0,0,0,1,0.6281845152468981,1,1,28.05590837115553
-O=c1[nH]ccc2ncnc(Nc3ccccc3)c12,AP,1,1,0,1,0.7165212804895742,0,1,63.19114875221239
-O=CNc1ccc(F)cc1,AP,1,0,1,1,0.6161775917187738,1,1,25.556263782442038
-Nc1ccc(F)cc1,AP,1,0,1,1,0.5030676848790228,1,1,25.644628327631864
-Nc1c[nH]c2ncc(-c3ccccc3F)cc12,AP,1,1,1,1,0.6711127605509931,0,1,28.093785901019206
-c1ccc2ccccc2c1,AP,1,1,1,1,0.5114311994891171,1,1,27.066307546520438
-Clc1ccc2c(c1)Nc1ccccc1O2,AP,1,1,0,1,0.6097617059145659,0,1,26.813460003248235
-CC(=O)Nc1nc(C=O)cs1,AP,1,0,1,1,0.6710456384575164,1,1,30.33065789847789
-O=Cc1ccc(F)c(-c2c(F)cccc2F)n1,AP,1,0,1,1,0.7513613935727798,0,1,18.906554880782082
-Nc1ccc(N)c2c1C(=O)c1c(O)ccc(O)c1C2=O,AP,0,0,0,0,0.35681972395939343,1,1,11.864126610305144
-Nc1cccc2c1C(=O)c1c(O)ccc(O)c1C2=O,AP,0,0,0,0,0.4167301493569221,1,1,15.842486680641953
-Fc1cccc(F)c1-c1ccc2n[nH]cc2c1,AP,1,1,0,1,0.6804654782233055,0,1,39.184713505042915
-c1cnc(-c2c[nH]c3ccccc23)nc1,AP,1,1,1,1,0.6480917393206026,0,1,56.79773078913687
-Fc1cccc(F)c1-c1ccc2[nH]ncc2c1,AP,1,1,0,1,0.6804654782233055,0,1,40.27435049933316
-c1ccc2ncc(-c3[nH]nc4ccccc34)cc2c1,AP,1,1,0,1,0.5541805180060314,0,1,54.71071236244025
-c1ccc(-c2c[nH]c3ccccc23)nc1,AP,1,1,0,1,0.6326173123272912,0,1,59.02073054660832
-NC(=O)c1csc(-c2c(F)cccc2F)n1,AP,1,1,1,1,0.8742648144218211,0,1,46.71996361642663
-Cc1[nH]nc2cnccc12,AP,1,1,1,1,0.5875133881718076,1,1,37.483503836933544
-c1ccc(-c2n[nH]c3cnccc23)nc1,AP,1,1,1,1,0.6473789295391943,0,1,36.69135522674923
-Nc1ccc(-c2ccccc2F)nc1C=O,AP,1,0,1,1,0.7833035562405819,0,1,19.725787700213733
-Cn1cnc2ccccc2c1=O,AP,1,1,1,1,0.5743423431787908,1,1,49.13022444967932
-Cn1c(-c2ccccc2)cc2c(Cl)cc(C(N)=O)nc21,AP,1,1,0,1,0.7866408721906318,0,1,41.5113682606708
-Clc1ccccc1Cl,AP,1,1,1,1,0.5285863388321962,0,1,26.914678708068134
-Clc1ccc2[nH]ccc2c1,AP,1,1,1,1,0.5961550779996849,1,1,48.23450453605859
-Fc1cccc(F)c1-c1ccc2cncn2n1,AP,1,1,1,1,0.6441279543634886,0,1,24.751098595758847
-Nc1cccc2ncccc12,AP,1,0,1,1,0.5725810426076291,1,1,37.198079725837054
-Cc1csc(C#N)c1C,AP,1,1,1,1,0.5376192604584475,0,1,15.225175514510868
-Cc1ccc(C)cc1,AP,1,1,1,0,0.47575768534032103,1,1,22.795794117574705
-Cc1csc2nc(C3CC3)nc(C)c12,AP,1,1,0,1,0.712611158534673,0,1,29.361951562615193
-Brc1ccsc1Br,AP,1,1,0,1,0.6543271825003024,1,1,23.18259567250858
-Sc1ccc(Cl)cc1,AP,1,0,1,1,0.5321150771055563,1,0,-0.6747841143979261
-COc1cccc(C)c1OC,AP,1,1,1,1,0.6450116473288806,1,1,41.93122399588191
-Brc1ccc2[nH]ccc2c1,AP,1,1,1,1,0.6661413067399449,1,1,52.96792315738858
-Cc1cccc2cnccc12,AP,1,1,1,1,0.5519055037199659,1,1,44.07900516433005
-O=C1Cc2cc(Cl)ccc2N1,AP,1,1,1,1,0.6278148486894898,1,1,15.845503907079443
-Cn1cc(-c2ccc(CO)cc2)c2c(Cl)ccnc21,AP,1,1,0,1,0.776520910295894,0,1,35.0614029548842
-N#Cc1ccnc2[nH]ccc12,AP,1,1,1,1,0.6061234099403053,1,1,30.91183113205806
-Cn1ccc2c(C#N)ccnc21,AP,1,1,1,1,0.5803122080413115,0,1,29.41763378966014
-c1ccc(-n2ncc3cnccc32)nc1,AP,1,1,1,1,0.5958421165357399,0,1,44.9026422880489
-Cc1c[nH]c2cnccc12,AP,1,1,1,1,0.5820392325335273,1,1,24.37623498836742
-Cc1c[nH]c2cccnc12,AP,1,1,1,1,0.5820392325335273,1,1,30.524459567803014
-c1ccc(-c2cncc(-n3ncc4ccccc43)n2)cc1,AP,1,1,0,1,0.5608170538864986,0,1,58.038138562745885
-Nc1sc(-c2c(F)cccc2F)nc1C=O,AP,1,0,1,1,0.820266876287356,0,1,15.735617275498912
-c1csc(-c2cccc3sccc23)c1,AP,1,1,0,1,0.5560691239924458,0,1,50.6863943763508
-NC(=O)c1cc2c(-c3ccc(C=O)s3)cccc2s1,AP,1,0,0,1,0.7489035148524565,0,1,39.975578363693316
-O=C([O-])c1cc2ccccc2s1,AP,1,1,1,1,0.6576000732354649,0,1,61.398566858436475
-O=Cc1ccc(-c2cccc3sccc23)s1,AP,1,0,0,1,0.6088926684821028,0,1,40.55451233565091
-c1ccc(-c2nccs2)cc1,AP,1,1,1,1,0.6263545777465895,1,1,50.03778402169769
-O=Cc1csc(-c2c(F)cccc2F)n1,AP,1,0,1,1,0.7353780264504028,1,1,27.376765315177575
-C[C@@H]1C(=O)NN=C2COc3ccccc3N21,AP,1,1,1,1,0.6962045549908874,0,0,-28.695140591595592
-Nc1ncc(-c2ccccc2)cc1C=O,AP,1,0,1,1,0.7519598842805689,1,1,25.098081176018933
-C[N+]1=C/C(=C2/CC(=O)NC2=O)c2ccccc21,AP,0,0,1,0,0.4055069398506887,0,0,-20.93252790624348
-Cc1ccc2c(c1)OCC1=NNC(=O)[C@@H](C)N12,AP,1,1,1,1,0.725093817871833,0,0,-25.318183936715382
-O=c1[nH]c2cccnc2[nH]1,AP,1,1,0,1,0.5435651991279111,1,1,23.582017611714818
-CC(=O)n1cc2[nH]nc(NC=O)c2c1,AP,1,0,0,1,0.6832541084189407,0,1,7.653033499078143
-Nc1ncc2c(n1)-c1[nH]ncc1CC2,AP,1,1,0,1,0.6306402629241886,0,1,17.152741854180377
-Cn1nc(C(N)=O)c2c1-c1nc(N)ncc1CC2,AP,1,1,0,1,0.7119176322257509,0,1,23.276336013214426
-Nc1ncc2c(n1)-c1ccc(Cl)cc1NC(=S)C2,AP,1,0,0,1,0.7244973869654638,0,1,3.4091575660656726
-C=C[C@@]1(F)CNc2nc(N)ncc2N(C)C1=O,AP,1,0,0,1,0.6880110372402768,0,0,-34.11703500849912
-CN1C(=O)C(F)(F)CNc2nc(N)ncc21,AP,1,1,0,1,0.6578807348855383,0,0,-22.56003035517584
-CC[C@H]1Nc2nc(N)ncc2-n2cnc(C#N)c21,AP,1,1,0,1,0.7708828267866887,0,0,-1.7738408332284468
-CC[C@H]1Nc2ncncc2N(C)C1=O,AP,1,1,0,1,0.7091427301776266,0,0,-8.280412703109626
-CC[C@H]1Nc2nc(-n3ccnc3)ncc2N(C)C1=O,AP,1,1,0,1,0.8630455524499424,0,1,13.78117381965939
-CC[C@H]1Nc2nc(N)ncc2N2C=NN[C@H]12,AP,1,1,0,1,0.6127069135591465,0,0,-37.02451355356292
-c1ccc2sccc2c1,AP,1,1,1,1,0.5193756104894538,1,1,41.037837130138456
-NC(=O)c1cc2ccccc2s1,AP,1,1,1,1,0.7108928275991874,1,1,55.521802457140616
-CCOC,AP,1,1,1,0,0.4315009980580737,1,1,14.173271476186555
-CS(=O)(=O)c1ccc2ncccc2c1,AP,1,1,1,1,0.713772587980444,1,1,64.60044534679476
-CC(C)(C)S(=O)(=O)c1ccc2nccc(N)c2c1,AP,1,1,0,1,0.8579344107311356,1,1,47.282695901156664
-CC(C)(C)S(=O)(=O)c1ccc2nccn2c1,AP,1,1,1,1,0.762182029760947,0,1,56.851455252651704
-COc1cc2nccc(N)c2cc1S(=O)(=O)C(C)(C)C,AP,1,1,0,1,0.919276228869707,1,1,43.201175487882864
-CC(C)(C)S(=O)(=O)c1ccc2ncnc(N)c2c1,AP,1,1,0,1,0.8490439678547436,0,1,47.24130508266378
-NC(=O)c1cn[nH]c1N,AP,1,1,0,0,0.4539721011557528,1,1,19.031449228022336
-O=[SH](=O)c1cccc2c(O)nccc12,AP,1,0,0,1,0.6849464125169556,0,0,-18.524175706434814
-Cc1cncc2cccc([SH](=O)=O)c12,AP,1,0,1,1,0.7209757032472129,1,0,-21.044444309638216
-Cc1cnnn1-c1nonc1N,AP,1,1,0,1,0.6154048148843421,0,1,22.39199499297602
-N#Cc1ccccc1,AP,1,1,1,0,0.48844457037463734,1,1,32.15537243473899
-OCc1ccccc1,AP,1,1,1,1,0.5723436119287516,1,1,30.89379261466763
-Nc1ccncc1F,AP,1,1,1,1,0.5388077752872951,1,1,20.40000135815709
-Nc1nc2ccccc2o1,AP,1,1,1,1,0.5922099720914726,1,1,38.01523637924283
-CCn1cnc2cncnc21,AP,1,1,1,1,0.6016654515624413,1,1,26.10643755546531
-NC(=O)c1ccncc1,AP,1,1,1,1,0.5772627921564859,1,1,36.497034738344915
-Cc1ccc(C(N)=O)o1,AP,1,1,1,1,0.5997819536090209,1,1,34.31775954918557
-NC(=O)c1ccco1,AP,1,1,1,1,0.5690629874470592,1,1,32.06712585829939
-Nc1ncnc2scnc12,AP,1,1,0,1,0.6021430059200858,1,1,23.73297372192985
-Nc1ccnn2ccnc12,AP,1,1,1,1,0.5638030951061849,0,1,20.080270959546503
-NC(=O)c1nnccc1N,AP,1,1,0,1,0.5284027360700222,1,1,16.48699830590769
-Nc1nccc2nc[nH]c(=O)c12,AP,1,1,0,1,0.5660876995210078,0,1,23.278834057657622
-NC(=O)c1nncnc1N,AP,1,1,0,1,0.49457625322896503,0,1,16.865189287000277
-Cc1ccn(-c2nc(N)ncc2F)c1,AP,1,1,1,1,0.7403718863896305,0,1,27.11478127108184
-Cc1ccn(-c2ccnc(N)n2)n1,AP,1,1,0,1,0.6868210244776503,0,1,44.676838317908825
-CCNc1nc(N)ncc1Cl,AP,1,1,0,1,0.7025672663782564,0,1,34.28496468114354
-CCNc1nc(N)ncc1F,AP,1,1,0,1,0.658755306689484,0,1,36.00279878349416
-CCNc1ncncc1F,AP,1,1,1,1,0.6684353268683102,1,1,34.9550889646539
-c1cc2ncsc2cn1,AP,1,1,1,1,0.5504287970242819,0,1,28.6609564004574
-c1ccc2nscc2c1,AP,1,1,1,1,0.5397735725540235,0,1,30.245118750148844
-Nc1nccc2nccnc12,AP,1,1,0,1,0.5908907457799355,1,1,30.08280070418663
-c1cc2nccnc2cn1,AP,1,1,1,1,0.5355010476666257,1,1,32.79177032909362
-Nc1ncc2occc2n1,AP,1,1,0,1,0.5799503038107798,0,1,25.21544363873897
-NC(=O)c1cnccn1,AP,1,1,0,1,0.5507568071868295,1,1,32.58283326345998
-O=C1NCc2c(F)cncc21,AP,1,1,1,1,0.5865252406089385,0,0,-21.541968565889224
-Nc1ncnc2c1C(=O)NC2,AP,1,1,0,1,0.5121701769339623,0,0,-16.24572139668639
-Nc1ncnc2cc[nH]c(=O)c12,AP,1,1,0,1,0.5660876995210078,0,1,26.290220068117
-Nc1ncnc2c1C(=O)N=CC2,AP,1,1,0,1,0.5736020829544548,0,0,-22.687344580842
-Cc1ccnc(CO)c1,AP,1,1,1,1,0.6010089583015967,1,1,34.70404478828296
-Nc1nccc2ccoc12,AP,1,1,1,1,0.5922099720914726,1,1,24.064929839939122
-Nc1nccc2c(Cl)coc12,AP,1,1,1,1,0.6552885478326933,0,1,19.400051218253104
-NC(=O)c1csc2c(=O)[nH]cnc12,AP,1,1,0,1,0.6750404462121652,0,1,25.344618420606537
-Nc1ncc(I)cn1,AP,1,0,1,1,0.6544832812837692,1,1,25.195443669498278
-Nc1ncc(I)c(N)n1,AP,1,0,0,1,0.6324407731012647,1,1,25.863881227264507
-Nc1ncc(C2CC2)c(N)n1,AP,1,1,0,1,0.611320762430444,1,1,11.252268553751962
-Nc1ncc(C2CC2)cn1,AP,1,1,1,1,0.6229702426207004,1,1,9.089870884640058
-O=C[O-],AP,1,0,1,0,0.30654732219455955,1,1,1.1086118535634293
-Nc1nc2oc3ccccc3c(=O)c2cc1C(=O)[O-],AP,1,0,0,1,0.6255459956076521,0,1,40.20506206631299
-c1cnc2cccnc2c1,AP,1,1,1,1,0.5412819114011972,1,1,30.191219323760922
-Nc1cc(O)ccn1,AP,1,1,1,1,0.5068633046996494,1,1,13.763142173476115
-Nc1ncnc2c1C(=O)CC=N2,AP,1,1,0,1,0.5962272377493266,0,0,-23.38987442793016
-Nc1ccnc2c[nH]nc12,AP,1,1,0,1,0.5521636672820287,1,1,18.85839023165432
-Nc1nccc2cccnc12,AP,1,1,1,1,0.6058167298330609,1,1,37.02052434280633
-Nc1cc(O)n[nH]1,AP,1,1,0,0,0.41757622882920364,1,1,11.26698800139939
-Nc1ccc2ncnc(N)c2n1,AP,1,1,0,1,0.5750961046618707,0,1,28.808317523813987
-CSc1sc(-c2cc[nH]n2)c2c1C(=O)NCC2,AP,1,1,1,1,0.8179854204340231,0,0,-0.29273750565852774
-Cc1ccc2c(c1)/C(=N\C=O)N=N2,AP,1,0,1,1,0.5989251431729292,0,0,-15.396560850845095
-Nc1ccc2[nH]nc(-c3cccnc3)c2c1,AP,1,0,0,1,0.6049001299997127,0,1,49.94239726092012
-NC(=O)/N=c1\s[nH]cc1C(N)=O,AP,1,1,0,1,0.5300480568125762,0,0,-1.3941168494508922
-Nc1ccc2cc[nH]c2n1,AP,1,1,1,1,0.5658999712435826,1,1,44.52020778964019
-CN1C(=O)CCNc2nc(N)ncc21,AP,1,1,0,1,0.5976078544628604,0,0,-11.413895346916021
-Nc1ncnc2cc(Cl)ccc12,AP,1,1,1,1,0.6718606972163413,1,1,40.1272188121736
-N#Cc1cnc(N)cc1N,AP,1,1,0,1,0.5269181380703917,1,1,19.494034122568042
-Cc1ccc(-c2n[nH]c3ccccc23)cc1S(N)(=O)=O,AP,1,1,0,1,0.7567750574119184,0,1,60.812041260284495
-N#Cc1ccc(N)nc1,AP,1,1,0,1,0.5415838765407543,1,1,30.350135396515206
-Nc1cc2c(ccn2C=O)cn1,AP,1,0,0,1,0.6246596491293699,0,1,7.683915519705472
-Nc1ccc[nH]c1=O,AP,1,1,1,0,0.49183877337955845,1,1,18.89966536180765
-c1ccc(-c2[nH]nc3ccccc23)cc1,AP,1,1,0,1,0.6326173123272912,0,1,43.17398171460556
-Cn1c(=O)[nH]c2nc(N)ncc21,AP,1,1,0,1,0.5364775399470826,0,1,14.735482940027186
-Nc1ncc2ccncc2n1,AP,1,1,0,1,0.5908907457799355,1,1,25.40751299164886
-NC(=O)Nc1ccn[nH]1,AP,1,1,0,0,0.49054534192612886,0,1,21.67145834079261
-c1ccc(-c2[nH]nc3ccncc23)cc1,AP,1,1,1,1,0.6480917393206026,0,1,37.76009741112998
-Nc1cc2ccccc2cn1,AP,1,1,1,1,0.6120847733236583,1,1,30.02573493890959
-Nc1nc(N)c2nc[nH]c2n1,AP,1,1,0,0,0.4697309637708927,1,1,38.263490370916216
-Nc1ncc2c(n1)-n1cccc1CC2,AP,1,1,1,1,0.6659862441089778,0,1,6.674108468520819
-Nc1nc(O)c2cc[nH]c2n1,AP,1,1,0,1,0.5017634936751659,0,1,24.182593239429476
-Cc1cc2cnc(N)nc2cn1,AP,1,1,0,1,0.6218419119060887,0,1,16.60233934048488
-Nc1nc(O)c2c(Cl)c[nH]c2n1,AP,1,1,0,1,0.5677303937116372,0,1,12.528927572612927
-Sc1ccnc2cc(Cl)ccc12,AP,1,0,0,1,0.6375530156465741,1,1,17.82503901468331
-Cn1cc(-c2nnc3ccc(S)nn23)cn1,AP,1,0,0,1,0.6307582054359421,0,1,29.13814372781213
-Nc1n[nH]c2cc[nH]c(=O)c12,AP,1,1,0,0,0.4869580597930594,0,1,21.312923606807168
-Nc1nccc2[nH]cnc12,AP,1,1,0,1,0.5521636672820287,1,1,21.726361721578982
-NC(=O)Nc1sccc1C(N)=O,AP,1,1,0,1,0.6185869036973267,0,1,49.68209828687662
-Oc1cnccn1,AP,1,1,1,1,0.5008316474747049,1,1,12.476225330459567
-CNc1cc(N)nn2c(C(N)=O)cnc12,AP,0,1,0,1,0.6101448975648261,0,1,26.361074544260255
-CNC(=O)c1cnccc1N,AP,1,1,0,1,0.5943171659196315,1,1,29.100387661073576
-CNC(=O)c1nnccc1N,AP,1,1,0,1,0.5636652311191135,0,1,19.478450069671077
-Nc1cc(C2CCC2)[nH]n1,AP,1,1,1,1,0.6118280272406302,1,1,19.831972108998905
-c1ccc2[nH]nnc2c1,AP,1,1,1,1,0.5607362152362961,1,1,36.92621296978984
-C[C@@H]1Nc2nc(N)ncc2N(C)C1=O,AP,1,1,0,1,0.5975279988504999,0,0,-12.851859631472525
-C[C@@H]1C(=O)N(C)c2cnc(N)nc2N1C,AP,1,1,0,1,0.640494613267454,0,0,-4.8274719260656775
-C[C@H]1C(=O)N(C)c2cnc(N)nc2N1C,AP,1,1,0,1,0.640494613267454,0,0,-4.8274719260656775
-Nc1ncc2c(n1)NCC(=O)N2,AP,1,1,0,0,0.47803838972147883,0,0,-20.686634028766512
-Nc1ccc(-c2cc(F)c(O)c(F)c2)cn1,AP,1,1,1,1,0.7779100829015991,0,1,28.110751014611616
-C#CCN1C(=O)[C@@H](C)Nc2nc(N)ncc21,AP,1,0,0,1,0.6383898510304709,0,0,-6.087377845420491
-C#CCN1C(=O)[C@@H](C)N(CC)c2nc(N)ncc21,AP,1,0,0,1,0.756029991472245,0,1,3.882207787281496
-CCCCN1C(=O)[C@@H](C)N(C)c2nc(N)ncc21,AP,1,1,0,1,0.8655685466492592,0,1,10.912920270831972
-CCCN1C(=O)[C@@H](C)Nc2nc(Nc3cc(F)c(O)c(F)c3)ncc21,AP,1,0,0,1,0.7355763702790068,0,1,19.66670232785689
-O=C1NC(=O)c2c1ccc1[nH]c3ccccc3c21,AP,1,0,0,1,0.5876510920773108,0,1,5.703521920214415
-Cn1c2ccc(O)cc2c2c3c(ccc21)C(=O)NC3=O,AP,1,0,0,1,0.610559601317007,0,0,-5.290383647989415
-Cn1cc(Br)c2c3c(ccc21)C(=O)NC3=O,AP,1,0,1,1,0.7477982914214595,0,0,-0.3448601363653965
-Cn1cc(CCO)c2c3c(ccc21)C(=O)NC3=O,AP,1,0,0,1,0.7596935002782341,0,1,2.9726710768871634
-Cc1cc(C)c(/C=C2\C(=O)Nc3ccc(Cl)cc32)[nH]1,AP,1,0,0,1,0.7626543694230666,0,1,35.62739044176795
-COc1n[nH]c2ncc(-c3c[nH]nn3)cc12,AP,1,1,0,1,0.659018438716395,0,1,15.416343803906193
-O=C1NCc2ccccc2N1c1c(Cl)cccc1Cl,AP,1,1,0,1,0.8323323309231762,0,1,1.2885539513836166
-CCNc1ncccn1,AP,1,1,1,1,0.6347304780479304,1,1,37.50614962298098
-O=C1CCc2ccccc2N1c1c(Cl)cccc1Cl,AP,1,1,0,1,0.7515993304163293,0,1,23.92496682318901
-CNC(=O)c1ccccc1,AP,1,1,1,1,0.6122319116423771,1,1,47.82334391425171
-CC(C)c1nnc2ccccn12,AP,1,1,1,1,0.6385713929124197,0,1,56.77521898499624
-Nc1[nH]ncc1C(=O)c1ccccc1,AP,1,1,0,1,0.6941986224695108,0,1,45.07560287975523
-O=c1cccnn1-c1ccccc1Cl,AP,1,1,1,1,0.7143392898211373,0,1,46.06219415175913
-O=CN1CCn2cncc2C1,AP,1,0,1,1,0.5236129373274175,1,0,-1.5424661836832265
-CCNC(=O)c1cn2ncncc2c1C,AP,1,1,1,1,0.7862561410235289,0,1,38.95531575823507
-Cc1c(C(=O)N[C@@H](C)c2ccccc2)cn2ncncc12,AP,1,1,1,1,0.801692638520589,0,1,82.85525620562963
-O=Cc1nc(-c2ccc3cccnc3c2)cs1,AP,1,0,0,1,0.646022743558797,0,1,47.431648991359005
-N#Cc1cccc(NC=O)c1,AP,1,0,1,1,0.6355418915117451,1,1,28.90482945371657
-Cc1c(C(=O)N[C@H](C)c2ccccc2)cn2ncncc12,AP,1,1,1,1,0.801692638520589,0,1,82.85525620562963
-Cc1c(C(N)=O)cn2ncncc12,AP,1,1,0,1,0.6710390832770573,0,1,25.11588421126255
-CC[C@@H](C)Nc1nccs1,AP,1,1,1,1,0.7262894710418909,0,1,40.08602211335633
-Nc1nc2ccccc2s1,AP,1,1,1,1,0.6223520348087767,1,1,48.743862824883614
-Cc1cccc(-c2nnc(C)o2)c1,AP,1,1,1,1,0.6657044972110279,1,1,53.34028767366128
-O=c1cc2cccnn2cn1,AP,1,1,1,1,0.5301698156033264,0,1,30.821464294468107
-Clc1ccccc1-c1n[nH]c2ncncc12,AP,1,1,1,1,0.6993460925803534,0,1,40.02563541293738
-c1ncc2cn[nH]c2n1,AP,1,1,1,1,0.5454672838232756,1,1,16.096061713017697
-Clc1ccccc1-c1[nH]nc2ccccc12,AP,1,1,0,1,0.6727924866518887,0,1,44.88893018079135
-Cc1ccccc1-c1n[nH]c2ncncc12,AP,1,1,1,1,0.6702349045302566,0,1,36.525141753934044
-C[C@@H](CS(C)(=O)=O)Nc1ncc2ccc(=O)n(C)c2n1,AP,1,1,0,1,0.8643136636248655,0,1,53.10973273379619
-C[C@H](Cn1ncnn1)Nc1ncc2ccc(=O)n(C)c2n1,AP,1,1,0,1,0.7088684304648689,0,1,41.340318281870964
-c1nn[nH]n1,AP,1,1,1,0,0.434429066558905,0,1,9.601918492352919
-C[C@@H](CS(C)(=O)=O)Nc1n[nH]c2ncncc12,AP,1,1,0,1,0.8089201947262068,0,1,48.459306109441656
-C[C@H](CS(C)(=O)=O)Nc1n[nH]c2ncncc12,AP,1,1,0,1,0.8089201947262067,0,1,48.459306109441656
-c1ncc2c(NC3CCOCC3)n[nH]c2n1,AP,1,1,0,1,0.7858754468251942,0,1,39.93907631390582
-Nc1ncc2c(n1)NC(=O)NC2,AP,1,1,0,0,0.49140092047504014,0,0,-22.97732467348698
-Cn1c(=O)ccc2cnn(-c3ccc(F)cc3F)c21,AP,1,1,1,1,0.6718436067139911,0,1,45.84217909291542
-c1ccc2c(c1)ncn2-c1ncncn1,AP,1,1,0,1,0.5879972723001431,0,1,35.543374237380874
-Cc1ccc(Br)c(=O)[nH]1,AP,1,1,1,1,0.6559875098992799,1,1,27.68486719816487
-NC1=C(C=O)C=[C][N+2](#[O+])[CH]1,AP,1,0,0,0,0.4123574680224621,0,0,-35.546959663961935
-C[C@H]1CN(C=O)[C@H](C)C[NH2+]1,AP,1,0,1,0,0.4598539461550156,0,0,-20.115086520055595
-O=C(NCC1CC1)c1cccnc1,AP,1,1,1,1,0.7520064034062304,1,1,81.85531271170248
-Fc1cccc(F)c1-n1ncc2cnncc21,AP,1,1,1,1,0.6448622564442238,0,1,28.452209975430158
-c1ccn2cnnc2c1,AP,1,1,1,1,0.511375604737478,1,1,41.39098284837183
-c1ccc(-n2ncc3cncnc32)cc1,AP,1,1,1,1,0.5958421165357399,0,1,38.726112207581
-CNC(=O)c1ccc[nH]1,AP,1,1,1,1,0.5579656799816205,1,1,36.91858161233226
-[O+]#[N+2]1[C]C=c2cccnc2=C1c1c(Cl)cccc1Cl,AP,1,0,1,1,0.7440262294045414,0,0,-3.5348319542503304
-Nc1ccnn1-c1ccccc1,AP,1,1,1,1,0.6840470334583565,1,1,33.489898925124386
-O=C1Nc2ccccc2C12CCCC2,AP,1,1,1,1,0.6637408316499351,1,1,12.263153398003272
-O=c1[nH]cncc1Cl,AP,1,1,1,1,0.5534895072866205,1,1,20.05135239392169
-CC(C)(C)c1nnc2ccccn12,AP,1,1,1,1,0.6128925684898552,0,1,46.21843772231266
-Cc1c(C=O)cn2ncncc12,AP,1,0,1,1,0.5823299855279711,0,1,11.554627406648143
-CCn1c(=O)ccc2nncn21,AP,1,1,1,1,0.5915475769339376,0,1,20.229497612729887
-O=C1CCCCc2ccccc21,AP,1,1,1,1,0.5330021470541094,1,1,30.415166109462994
-O=C1c2ccccc2CCc2ccccc21,AP,1,1,0,1,0.6500625527750792,1,1,25.265016083250135
-Clc1ccccc1-c1cccs1,AP,1,1,0,1,0.6422497810831693,0,1,50.56295654259835
-Clc1ccccc1-c1nccs1,AP,1,1,0,1,0.679309743765056,0,1,39.01786719191888
-O=Cn1ccc2ccccc21,AP,1,0,1,1,0.5593843107831337,1,1,22.51550082419497
-O=C1c2ccccc2COc2ccccc21,AP,1,1,1,1,0.6679444805962834,1,1,4.792131763251
-c1coc(-c2nc[nH]n2)c1,AP,1,1,1,1,0.6357138696248271,0,1,35.967668083590844
-Oc1cccc(-c2nnc[nH]2)c1,AP,1,1,0,1,0.6596467511361087,1,1,13.605905874704392
-Cn1c(=O)[nH]c2cccnc21,AP,1,1,1,1,0.5837912047653451,1,1,34.099043619687166
-CCc1cncnc1,AP,1,1,1,1,0.5367952647550015,1,1,27.979379641942216
-c1ccc2nc3c(cc2c1)CCCCC3,AP,1,1,0,1,0.5888975508332032,0,1,68.82351216190206
-C[C@H]1CCc2nc3ccccc3cc2C1,AP,1,1,0,1,0.6307462578942189,0,1,41.39803099122104
-O=Cc1cccnc1,FP,1,0,1,1,0.498749165497561,1,1,28.73541537756365
-Sc1ccccc1,FP,1,0,1,0,0.48490334051496226,1,1,1.2335730402609912
-c1ccccc1,FP,1,1,1,0,0.4426283718993647,1,1,11.619019164323166
-CNC(=O)c1ccccc1,FP,1,1,1,1,0.6122319116423771,1,1,47.82334391425171
-NC1=NCC(=O)N1,FP,1,1,0,0,0.3850209962040656,1,0,-13.045399118405802
-CCOc1ccccc1,FP,1,1,1,1,0.5832071586937729,1,1,46.036312668873705
-CCC(C)(C)OC,FP,1,1,1,1,0.5164549742275013,1,1,19.70722596902052
-C1CSCS1,FP,1,1,1,0,0.4578774484038774,0,0,-1.0742667830060997
-OC1CCC1,FP,1,1,1,0,0.44229926503922284,0,1,7.548141006386745
-N#CCc1ccc(N)cc1,FP,0,0,1,1,0.5859015580629269,1,1,38.8959703022248
-Cc1nnc(-c2ccccc2)[nH]1,FP,1,1,1,1,0.6886539877002524,1,1,23.874344804874454
-c1nc2c([nH]1)CCNC2,FP,1,1,1,1,0.5116758320036295,1,0,-3.0990941693515714
-[NH3+][C@@H]1CCNC1,FP,1,1,1,0,0.3741982167740488,0,0,-13.44890036983314
-[NH3+][C@]1(CNC(=O)c2ccc(F)cc2F)CCNC1,FP,1,1,0,1,0.6928296487919946,0,1,44.60480494195854
-[NH3+]C[C@H](Cc1ccc(Cl)cc1)C(=O)N1CCNCC1,FP,1,1,0,1,0.8272371822855681,0,1,65.2978800748156
-[NH3+][C@H](Cc1c[nH]c2ccccc12)C(=O)N1CCNCC1,FP,1,1,0,1,0.7213030566056785,0,1,79.79909354950716
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-CC(C)[NH2+]C[C@@H](C(=O)N1CCNCC1)c1ccc(Cl)cc1,FP,1,1,0,1,0.8460968770257169,0,1,64.99134412732948
-[NH3+]C1(C(=O)N[C@@H](CCO)c2ccc(Cl)cc2)CCNCC1,FP,1,1,0,1,0.6279488484810861,0,1,53.9261919427514
-c1cn(CC[NH+]2CCCC2)c(C2CCNCC2)n1,FP,1,1,0,1,0.7893393003547198,0,1,41.39168204964606
-NCC[NH2+]CCOCc1ccc(Cl)cc1,FP,1,0,0,1,0.6646071846129895,0,1,65.37551115616274
-[NH3+][C@H](COc1cccnc1)Cc1c[nH]c2ccccc12,FP,1,1,0,1,0.7406726119765737,0,1,91.54168432329396
-Clc1ccc(C2(c3ccccc3)CC[NH2+]CC2)cc1,FP,1,1,1,1,0.8656394299295966,0,1,26.689691153306278
-[NH3+]C1(C(=O)NCc2ccc(Cl)cc2)CCNCC1,FP,1,1,0,1,0.7390918779466242,0,1,48.49315333120475
-CC(C)(C)c1ccc(CC2([NH3+])CCNCC2)cc1,FP,1,1,1,1,0.8229415242735454,0,1,38.387432623108
-OC[C@H]1CCC[NH2+]C1,FP,1,1,1,0,0.45054706169065806,0,1,18.46439636975449
-NC[C@@H](NC(=O)c1cccs1)c1ccccc1,FP,1,1,0,1,0.8684064176613064,0,1,67.25210936074205
-[NH3+][C@@H](CO)Cc1ccccc1,FP,1,1,1,1,0.6204987915458686,0,1,44.44730244977882
-[NH3+]CC[C@H](O)c1ccccc1,FP,1,1,1,1,0.6448349763403243,0,1,51.31194040313417
-CC(C)S(=O)(=O)c1ccccc1,FP,1,1,1,1,0.702790203042823,1,1,56.79854180476137
-CCc1c(Cl)ccc(F)c1Cl,FP,1,0,0,1,0.5962160399614724,1,1,28.03091955136407
-CCc1cc(F)ccc1-n1nccn1,FP,1,1,1,1,0.7261309901010432,0,1,32.572924194381
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-C1CCNCC1,FP,1,1,1,0,0.4576362279207808,1,0,-6.105814886556153
-C=CCN,FP,1,0,1,0,0.42524030335523855,1,0,-6.902959258499424
-OCC1CCCCC1,FP,1,1,1,1,0.5481513424706516,1,1,23.658602976143
-COC(=O)C1CCCCC1,FP,1,1,1,1,0.5211287604023573,0,1,39.55551792220229
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-CCc1cc(F)ccc1C(=O)N(C)C,FP,1,1,1,1,0.7072158288879655,0,1,53.49788092219208
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-c1ccc2ncccc2c1,FP,1,1,1,1,0.5311915584041306,1,1,50.88665479563308
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-C1CCOCC1,FP,1,1,1,0,0.42994002180165675,1,1,10.240293193110956
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-c1cn[nH]c1,FP,1,1,1,0,0.4683433019217652,1,1,7.008377370358167
-CCc1cccc(CC)c1N,FP,1,0,1,1,0.6418508425408987,1,1,26.000097303833332
-FC(F)(F)c1ccccc1,FP,1,1,1,1,0.5274607455911079,1,1,36.437699073802
-O=Cc1ccc(F)cc1,FP,1,0,1,1,0.5198989180006277,1,1,26.979529838690034
-Nc1ccccc1,FP,1,0,1,0,0.48007546344555985,1,1,23.741301320833813
-NC1CC1,FP,1,1,1,0,0.41922050844055486,1,0,-5.652930360202207
-Clc1ccc(C[NH+]2CCNCC2)cc1,FP,1,1,1,1,0.7210675679439489,0,1,52.99844535030517
-Cc1cc(C[NH+]2CCNCC2)no1,FP,1,1,1,1,0.6144712972847869,0,1,39.18542866634541
-c1ccncc1,FP,1,1,1,0,0.4531479654842905,1,1,20.589274983144822
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-O=CNc1ccccc1,FP,1,0,1,1,0.5860752448837414,1,1,21.504630601388737
-O=C(Nc1ccccc1Cl)c1ccccc1,FP,1,1,0,1,0.8409326520489111,0,1,98.73143634422591
-COc1ccc(Nc2ncnc(N)n2)cc1OC,FP,1,1,0,1,0.8379424876207479,0,1,82.29034808174286
-C1CCCCCC1,FP,1,1,1,0,0.4085406794096017,0,1,15.195946331284295
-Fc1ccccc1,FP,1,1,1,0,0.46184033029146143,1,1,26.89038789795228
-c1ccc(-c2ccccc2)cc1,FP,1,1,0,1,0.5905018880213778,1,1,32.425588278888924
-Clc1ccccc1,FP,1,1,1,0,0.4833833263681997,1,1,28.62182911813474
-Brc1ccccc1,FP,1,1,1,1,0.5420450088370231,1,1,31.57617417851588
-N#Cc1ccccc1,FP,1,1,1,0,0.48844457037463734,1,1,32.15537243473899
-FC(F)(F)Oc1ccccc1,FP,1,1,1,1,0.6161869793338142,1,1,45.07593339309071
-O=C([O-])c1ccccc1,FP,1,1,1,1,0.5263180674240564,1,1,38.39787175917415
-CC(=O)Nc1cc[nH+]cc1F,FP,1,1,1,1,0.633575481292892,0,1,41.7349819198729
-CC(=O)NC[C@@H]1CCNC1,FP,1,1,1,1,0.5570810694148147,0,0,-4.422642572373652
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-C1CCCC1,FP,1,1,1,0,0.40836192922302755,1,1,13.188394633412608
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-CCN,FP,1,1,1,0,0.40623709538988323,1,1,5.092217189432304
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-c1ccc(Cn2cccn2)cc1,FP,1,1,1,1,0.6526244921045413,1,1,69.24573788377222
-Cc1cc(Cn2cccn2)no1,FP,1,1,1,1,0.6683148921283735,0,1,56.11652998848849
-O=Cc1cccc(Cn2cccn2)c1,FP,1,0,1,1,0.6842253899135656,1,1,58.63366771341766
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-[NH3+]C1CCNCC1,FP,1,1,1,0,0.4026375405755626,1,0,-5.93921008466843
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-[NH3+]CCS,FP,1,0,1,0,0.3826710259651884,1,1,2.4239577966140615
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-[NH3+]C[C@H]1CNCCO1,FP,1,1,1,0,0.4262442327094438,0,0,-20.303573303291973
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-[NH3+]C[C@@H]1CNCCO1,FP,1,1,1,0,0.4262442327094438,0,0,-20.303573303291973
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-[NH3+]C1CCCCC1,FP,1,1,1,0,0.4604637134084303,1,1,16.077953204911122
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-[NH3+]Cc1ccccc1C(F)(F)F,FP,1,1,1,1,0.6702869664643435,1,1,46.73986930775035
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-[NH3+]CC1CCNCC1,FP,1,1,1,0,0.46253717925101767,0,0,-6.678318611554541
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-[O-]c1ccccc1[O-],FP,1,1,1,0,0.4629883525226846,0,1,19.744589338834796
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-[NH3+]CCNS(=O)(=O)c1cccs1,FP,1,1,0,1,0.6827636006187433,0,1,65.68118581169732
-[NH3+]C[C@H](O)c1ccccc1,FP,1,1,1,1,0.5916647064294223,0,1,39.84573672021334
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-[NH3+]CCn1cccn1,FP,1,1,1,1,0.530530028671747,1,1,34.51871856804885
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-[NH3+][C@@H]1CCCC[C@@H]1NC=O,FP,1,0,1,1,0.4926536647190383,0,1,2.010060200834449
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-[NH3+]CCCNC=O,FP,1,0,0,0,0.32536621458274223,1,0,-3.2468246503518823
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-[NH3+][C@H](COc1cccnc1)Cc1ccccc1,FP,1,1,0,1,0.840143175156281,0,1,74.84322388382736
-[NH3+][C@@H](COc1cccnc1)Cc1ccccc1,FP,1,1,0,1,0.840143175156281,0,1,74.84322388382736
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-[NH3+]CCNC(=O)C[C@H]1CNC(=O)c2cccn21,FP,1,1,0,1,0.5958546365285886,0,1,7.717780587033785
-[NH3+][C@@H]1CCCNC1,FP,1,1,1,0,0.4026375405755626,1,0,-12.559331385978203
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-[NH3+][C@@H]1CCCC[C@H]1Nc1ccn2nccc2n1,FP,1,1,0,1,0.8002203737241246,0,1,55.01281924934633
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-[NH3+][C@H]1CCCNC1,FP,1,1,1,0,0.40263754057556267,1,0,-12.559331385978203
-CC(C)(C)Nc1nnco1,FP,1,1,0,1,0.6396471980003355,0,1,15.919047354075001
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-[NH3+]CCO,FP,1,1,1,0,0.3704637091260453,1,1,10.281549401495868
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-[NH3+]C[C@H](Cc1ccc(Cl)cc1Cl)NC(=O)c1cccs1,FP,1,1,0,1,0.8699555293273914,0,1,102.27755249463748
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-[NH3+]Cc1ccc(O)c(F)c1,FP,1,1,1,1,0.580681792581946,1,1,41.72803100694738
-[NH3+]Cc1ccc(C=O)cc1,FP,1,0,1,1,0.5814539021786307,1,1,33.55162207467533
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-[O-][C@@H](c1ccccn1)C(F)(F)F,FP,1,1,1,1,0.6405669463363217,0,1,29.349439763640902
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-[NH-][S@]([O-])(c1ccccc1)C1CC1,SE,1,1,0,1,0.6910282018784899,0,1,23.85258241253817
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-[NH3+]CC1CC[NH+](Cc2ccc3[nH]ccc3c2)CC1,SE,1,1,1,1,0.6920806998564636,0,1,103.47696602269482
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-[H]/N=C(/N)N/N=C(\C)c1ccccc1,SE,1,0,0,0,0.35548069625127604,0,1,49.930944672892885
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-[NH3+]C1CCCCC1,SE,1,1,1,0,0.4604637134084303,1,1,18.48709842632445
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-OC1CCCCC1,SE,1,1,1,0,0.4863248839438126,1,1,13.246532692241212
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-CCCC[NH+](CC)CC,SE,1,1,0,1,0.5588860865767477,1,1,34.52077230505497
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-[NH3+]C1(CO)CC1,SE,1,1,1,0,0.4132910808425134,0,1,7.495490464802453
-COc1ccccc1OC,SE,1,1,1,1,0.6189113153967103,1,1,33.90936801172575
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-CCC[NH+](CC)CC,SE,1,1,0,1,0.5393726644259729,1,1,25.79002644888102
-CC[NH+](C)C,SE,1,1,1,0,0.41307193941793097,1,1,16.238026260411445
-C[NH2+]C,SE,1,1,1,0,0.3530591111578337,1,1,10.064078188343407
-C=CC(N)=O,SE,1,0,1,0,0.4219958386868299,1,0,-1.1383284387539367
-CC[NH2+]CC,SE,1,1,1,0,0.45831836603535736,1,1,15.542012736362874
-C1CCNC1,SE,1,1,1,0,0.4347944578283113,1,0,-6.026803828991243
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-Cc1cnn(CCO)c1,SE,1,1,1,1,0.6136497377777997,1,1,39.650335333726424
-COc1ccccc1N,SE,1,0,1,1,0.5706913849970715,1,1,32.553625231704274
-OCCC[NH+]1CCOCC1,SE,1,1,1,1,0.49665855631983985,0,1,41.13053912852551
-COc1ccc(CN)cc1,SE,1,1,1,1,0.6633238802202668,1,1,16.512637560136522
-Clc1cccc(Cl)c1,SE,1,1,1,1,0.5285863388321962,1,1,30.04532860234687
-C[NH+]1CCN(S(=O)(=O)c2ccccc2)CC1,SE,1,1,1,1,0.7368429590282473,0,1,85.8236996704925
-c1ccsc1,SE,1,1,1,0,0.44892664601443366,1,1,9.194709627715325
-CCCn1cncn1,SE,1,1,1,1,0.5617398374798184,1,1,32.204416996454434
-C[NH+]1CCCCC1,SE,1,1,1,0,0.4255306890148219,0,1,16.72682810634307
-C[NH+]1CCN(C2CCCCC2)CC1,SE,1,1,1,1,0.6079108303245183,0,1,37.28306429108626
-C1CCC([NH+]2CCNCC2)CC1,SE,1,1,1,1,0.555953299619352,0,1,5.012424193262666
-C1CCCC1,SE,1,1,1,0,0.40836192922302755,1,1,13.188394633412608
-CC(C)C[C@H]([NH3+])C=O,SE,1,0,1,1,0.5116134321257249,1,1,4.910455926426601
-CC(C)C[C@H]([NH3+])C(=O)[O-],SE,1,1,0,1,0.5005599304878099,0,1,30.403750804513813
-CC(C)C[C@H]([NH2+]C1CCCCC1)C(N)=O,SE,1,1,0,1,0.6964625981193222,0,1,51.75440794592413
-CCCCCC=O,SE,1,0,0,0,0.3883941773179649,1,1,0.046452948059900745
-NC1CN(C(=O)C2CC2)C1,SE,1,1,1,1,0.5367164836491416,1,1,8.853287404625327
-O=C([O-])C1(c2ccccc2)CCCC1,SE,1,1,1,1,0.7020416151029683,0,1,44.85904683811279
-c1cc([C@@H]2CC[NH2+]C2)ncn1,SE,1,1,1,1,0.5876605814348775,0,1,18.34149380794083
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-CCN(CC)CCNC(=O)c1c(C)[nH]c(C)c1C,SE,1,1,0,1,0.8122714148514506,1,1,53.208340359277976
-c1ccc(C[NH+]2CCCC2)cc1,SE,1,1,1,1,0.6577889442506689,0,1,71.2551207884704
-C[N@H+](CCO)CCCO,SE,1,1,0,0,0.40224382896882954,0,1,23.28542728079227
-COc1cc2c(ccn2C)nc1OC,SE,1,1,1,1,0.7245547212554198,0,1,35.15900505614214
-c1cc2cncnn2c1,SE,1,1,1,1,0.511375604737478,1,1,26.486607037963996
-COc1ccccc1N1CCOCC1,SE,1,1,1,1,0.710672885660566,1,1,59.84748528160221
-COc1cccc(OC2CC[NH+](C)CC2)c1,SE,1,1,1,1,0.8153812089080459,0,1,79.05979583830687
-Cc1ccnn1C1CC[NH2+]CC1,SE,1,1,1,1,0.6301399441096591,0,1,16.55245087208298
-Cc1ccn(C2CC[NH2+]CC2)n1,SE,1,1,1,1,0.6301399441096591,0,1,26.581718443590333
-Cc1cc(C)n(C2CC[NH+](CC=O)CC2)n1,SE,1,0,1,1,0.7265653522647468,0,1,22.835299429191295
-COc1ccc2c(ccn2C(C)=O)c1,SE,1,1,1,1,0.6888779291370131,0,1,42.67926973789878
-COc1cccc(N2CC[NH2+]CC2)c1,SE,1,1,1,1,0.7203867074961815,0,1,66.92954085559126
-c1ccn2nccc2c1,SE,1,1,1,1,0.509815139625202,1,1,35.55596004961994
-c1cnn(CCN2CC[NH2+]CC2)c1,SE,1,1,1,1,0.6333300645008875,0,1,65.25792283710692
-CC(C)(C)C(=O)Oc1ccc2[nH]cnc2c1,SE,1,0,1,1,0.5907070101972453,0,1,65.15591052135736
-COCCCN,SE,1,0,1,1,0.49312039230134636,1,0,-2.2912751799422106
-Cn1ccc(C(F)(F)F)n1,SE,1,1,1,1,0.5467194924872543,1,1,29.484652635419007
-c1cc(C2CC[NH2+]CC2)n[nH]1,SE,1,1,1,1,0.5773192735819584,0,1,31.085466344292982
-CCCN,SE,1,1,1,0,0.46327091845476276,1,0,-1.5901402203952597
-NC1CC1,SE,1,1,1,0,0.41922050844055486,1,0,-5.652930360202207
-CN1C(=O)C[C@H]2C[NH2+]CC[C@H]21,SE,1,1,1,0,0.4685685381035015,0,0,-18.58565714511659
-Cn1ccc(C(N)=O)n1,SE,1,1,0,1,0.5506039101636904,1,1,32.93410750153456
-Cc1cccc(C)c1,SE,1,1,1,0,0.47575768534032103,1,1,29.599638302226232
-CCCC[NH2+]C,SE,1,0,1,0,0.4668582729351071,1,1,17.760185946042515
-C[NH+](C)C1CCCCC1,SE,1,1,1,1,0.5232016114018909,0,1,28.10916921525156
-NC=O,SE,1,0,1,0,0.35232551302052717,1,0,-3.29609306080239
-c1ccc2oc(N3CCOCC3)nc2c1,SE,1,1,0,1,0.7078008821175487,1,1,67.78885398226471
-CC1(C)Cc2ccccc2O1,SE,1,1,1,1,0.5486176842945492,1,1,21.867476120729584
-Cn1c(N2CCOCC2)nc2ccccc21,SE,1,1,1,1,0.7232017090502436,0,1,61.557796728149405
-C[C@]1(CO)Cc2ccccc2O1,SE,1,1,1,1,0.678954342303604,0,1,6.424321525036007
-C[NH+]1CCN(Cc2ccc3cn[nH]c(=O)c3c2)CC1,SE,1,1,1,1,0.7462848102441413,0,1,60.10969517022466
-[NH3+]Cc1ccc(C=O)cc1,SE,1,0,1,1,0.5814539021786307,1,1,33.55162207467533
-c1ccc(N2CCCCC2)cc1,SE,1,1,1,1,0.6117683755470859,0,1,52.14635393882533
-CCOc1cc(C(O)(CC)CC)cc2[nH]ccc12,SE,1,1,0,1,0.8479562994589026,0,1,46.14992704478972
-CCC(O)(CC)c1ccc2cc[nH]c2c1,SE,1,1,0,1,0.7893058241716042,0,1,49.31451977284492
-Nc1nccc(C(F)(F)c2ccc(F)cc2)n1,SE,1,1,1,1,0.8745821171683237,0,1,42.89867724382043
-NC(N)=O,SE,1,1,0,0,0.3705073514035382,1,1,12.3711326840275
-COc1ccc2ccccc2c1,SE,1,1,1,1,0.6196937967945624,1,1,66.2343886319233
-Oc1ccc2ccccc2c1,SE,1,1,1,1,0.6020160700037418,1,1,36.977495935527806
-NC(=O)[C@H]1C[C@@H]1c1ccccc1,SE,1,1,1,1,0.6970915365189387,0,1,25.411860823980874
-N#Cc1cccc(Cn2cc(N)cn2)c1,SE,1,1,0,1,0.792279427295126,1,1,74.63572536204133
-C[NH+](C)CC[C@@H](c1ccccc1)n1cccn1,SE,1,1,0,1,0.813385318994992,0,1,68.44202057557607
-C[NH+](C)CC[C@H](c1ccccc1)n1cc(N)cn1,SE,1,1,0,1,0.8097417357556057,0,1,57.77460319814843
-C[NH+](C)CCCn1cccn1,SE,1,1,0,1,0.6155279334992901,0,1,53.59795144256254
-Nc1cc(S(=O)(=O)c2ccccc2)ccn1,SE,1,1,0,1,0.854108506177338,0,1,60.31576339343299
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-COc1ccc(F)cc1OC,SE,1,1,1,1,0.6500511394346002,1,1,44.498833007917696
-COc1ccccc1Cl,SE,1,1,1,1,0.5850627747795066,1,1,43.98448272681154
-Clc1cncnc1,SE,1,1,1,1,0.5054176926987128,1,1,20.442820330779547
-Cn1cc(-c2ccc3c(c2)[nH]c2ccncc23)cn1,SE,1,1,0,1,0.5622737386881552,0,1,26.739095724055097
-Fc1cncnc1N1CCOCC1,SE,1,1,0,1,0.6333358858812423,0,1,32.50775054431667
-Cc1csc2cncnc12,SE,1,1,1,1,0.5736756686094583,1,1,22.169003980977255
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-O=CN1CCc2nc[nH]c2C1,SE,1,0,1,1,0.5707536693757275,1,0,-2.1449281543841807
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-O=c1[nH]c2ncncc2n1CCO,SE,1,1,0,1,0.6276733622989156,0,1,20.28092864190647
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-CCCC(=O)Nc1cccc(C(=O)[O-])c1,SE,1,1,0,1,0.7912950493550776,0,1,100.45683619931155
-COC1CCCCC1,SE,1,1,1,1,0.5060735203854042,1,1,22.885626516252596
-O=CCC[NH+]1CCCCC1,SE,1,0,1,1,0.5341032655001693,0,1,13.352077704620486
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-O=CN1CCCCC1,SE,1,0,1,0,0.45657378498177065,1,1,1.2671200679307615
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-c1ccc2[nH]ncc2c1,SE,1,1,1,1,0.5583728365871126,1,1,41.54100241300441
-C[NH+](C)Cc1ccccc1,SE,1,1,1,1,0.5974080284282456,1,1,51.954389800780696
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-Cn1ccc(Br)c1,SE,1,1,1,1,0.5446911831566104,1,1,26.639379161671012
-c1ccc2c(c1)CC[NH2+]C2,SE,1,1,1,1,0.5255347882717194,0,1,14.90230170378665
-c1ccc2c(c1)CC[NH2+]CC2,SE,1,1,1,1,0.5464708721597852,0,1,24.54510673422537
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-c1ccc(OCC[NH+]2CCCCC2)cc1,SE,1,1,0,1,0.7795633241047333,0,1,92.9929574916792
-CCCCN(C)C=O,SE,1,0,0,1,0.4978231578612091,1,0,-2.521170562702213
-N=[S@](=O)([O-])c1ccc(CNC=O)cc1,SE,1,0,0,1,0.7116775905613574,0,1,5.968352309652731
-Cc1[nH]c(C)c(C)c1C,SE,1,1,1,1,0.5442736785409319,1,1,15.318631387612346
-Cc1[nH]c(C)c(C(=O)N2CCC[C@H]2C)c1C,SE,1,1,1,1,0.7754552981895823,0,1,44.2197283370005
-CNC(C)=O,SE,1,1,1,0,0.4207171469569102,1,1,15.4440285404754
-C[NH+]1CCC(CO)CC1,SE,1,1,1,0,0.4627145524962772,0,1,26.001615839630006
-CC[NH+]1CCC(CCNC(N)=O)CC1,SE,1,1,0,1,0.5552755134239538,0,1,65.07841411249497
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-OCC[NH+]1CCNCC1,SE,1,1,1,0,0.3863126073329869,0,1,6.504667581341328
-CC(=O)N1[C@H]2CC[C@@H]1c1ccccc12,SE,1,1,1,1,0.610484827591732,0,1,0.6341159854672447
-CCN1CC[NH+](C)CC1,SE,1,1,1,0,0.4689539540404757,0,1,28.602948367208334
-CC[NH+](CC)CCNC=O,SE,1,0,0,0,0.3517787910396112,1,1,10.783856048570396
-Cc1ncno1,SE,1,1,1,0,0.4557395479673612,1,1,6.0437123633203695
-c1ccc2[nH+]cncc2c1,SE,1,1,1,1,0.5246287680507428,0,1,27.35700872151018
-C[NH+]1CCN(CCO)CC1,SE,1,1,1,0,0.46180184801705065,0,1,38.27026119077852
-CCCNS(=O)(=O)c1cccc(N)c1,SE,1,0,0,1,0.7330935381883809,1,1,70.70985251589813
-c1ncc2sccc2n1,SE,1,1,1,1,0.550428797024282,1,1,31.360184430982375
-CCC1CC[NH+](C)CC1,SE,1,1,1,1,0.5185853827740851,0,1,25.95533961108029
-c1ccc(Oc2ccccc2)cc1,SE,1,1,0,1,0.6700363845267113,1,1,48.33679552060807
-CCc1c[nH]c2ccccc12,SE,1,1,1,1,0.634678344220595,1,1,48.98497182806486
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+Nc1nccc(O)n1,AP,1,1,0,0,0.4844747443041592,1,1,14.840208929754215,,
+Nc1ncc2cn[nH]c2n1,AP,1,1,0,1,0.5296759293780585,0,1,13.019757117591377,,
+CNc1ncnc2[nH]ccc12,AP,1,1,1,1,0.6339116859578915,1,1,38.38637143623604,2.0,1.0
+Nc1nccn2cncc12,AP,1,1,1,1,0.5638030951061849,0,1,31.409528923087134,,
+Cc1ccc2c(c1)NC(=O)Nc1cnc(N)nc1-2,AP,1,1,0,1,0.6571641065824526,0,0,-2.45690968798903,,
+Nc1ncc(Cl)c(N)n1,AP,1,1,0,1,0.5489392620766615,1,1,21.3182634370304,,
+O=c1cc(O)c2ccccc2[nH]1,AP,1,1,1,1,0.6102127223131673,0,1,32.55990740693169,,
+c1cnc2ccnn2c1,AP,1,1,1,1,0.511375604737478,1,1,39.62289811858867,2870.0,1.0
+Nc1cc(C2CC2)[nH]n1,AP,1,1,1,1,0.5817560283870127,1,1,18.524860679773997,454.0,1.0
+Nc1ncnc2[nH]ccc12,AP,1,1,0,1,0.5521636672820287,1,1,29.03266928659045,,
+Clc1c[nH]c2ncncc12,AP,1,1,1,1,0.6249517393225209,1,1,18.136368996744945,226.0,1.0
+Cc1c[nH]c2ncncc12,AP,1,1,1,1,0.5875133881718076,1,1,18.45204921270899,226.0,1.0
+CCc1c[nH]c2ncncc12,AP,1,1,1,1,0.6640159088638276,1,1,26.056605986491547,222.0,1.0
+c1ncc2cc[nH]c2n1,AP,1,1,1,1,0.5607362152362961,1,1,30.638319580918225,490.0,1.0
+C[C@@H]1SCc2ncncc21,AP,1,1,1,1,0.5664426923034389,0,0,-15.744872052582329,,
+c1ccc2ncncc2c1,AP,1,1,1,1,0.5412819114011972,1,1,36.82228119064453,578.0,1.0
+C[C@@H]1C[C@@H](O)c2ncncc21,AP,1,1,1,1,0.600137794996851,0,0,-19.770027220110777,,
+C[C@@H]1CC(=O)Nc2ncncc21,AP,1,1,1,1,0.6183914419740608,0,0,-26.40904365775072,,
+O=[SH](=O)c1cccc2cnccc12,AP,1,0,1,1,0.6922284333447187,1,1,1.88559604581769,,
+Cc1n[nH]c2ccccc12,AP,1,1,1,1,0.5820392325335272,1,1,44.4808676464273,1508.0,1.0
+c1cn[nH]c1,AP,1,1,1,0,0.4683433019217652,1,1,7.008377370358167,,
+Nc1cnon1,AP,1,1,0,0,0.467341788077307,0,1,4.049549313424441,,
+c1cnc2[nH]ccc2c1,AP,1,1,1,1,0.5583728365871126,1,1,43.27487395955146,1340.0,1.0
+O=CNc1n[nH]c2c1CNC2,AP,1,0,0,1,0.5040008100754904,0,0,-17.13714378581204,,
+Nc1ncccc1O,AP,1,1,1,1,0.5068633046996494,1,1,22.01649465642152,598.0,1.0
+CCc1ccc2c(c1)C(=O)c1c([nH]c3cc(C#N)ccc13)C2(C)C,AP,1,1,0,1,0.7200651689938562,0,1,15.142372828120454,,
+Nc1nccnc1O,AP,1,1,0,0,0.4844747443041592,1,1,10.29223715975717,,
+Nc1ncccn1,AP,1,1,1,1,0.495312713243744,1,1,22.21663536592597,1078.0,1.0
+NC(=O)c1cccc([SH](=O)=O)c1,AP,1,0,0,1,0.623867704414389,1,0,-9.54440564260099,,
+NC(=O)c1ccccc1,AP,1,1,1,1,0.5859367170668044,1,1,37.153131146312816,574.0,1.0
+Fc1ccccc1,AP,1,1,1,0,0.4618403302914614,1,1,26.89038789795228,,
+Nc1ncc2c[nH]nc2n1,AP,1,1,0,1,0.5296759293780585,0,1,20.36441436973807,,
+O=C/N=C1/N=Nc2ccccc21,AP,1,0,1,1,0.574935749031262,0,0,-17.88712688885667,,
+O=CNc1n[nH]c2ccccc12,AP,1,0,1,1,0.6484659759237619,1,1,28.70022325829968,,
+O=CNc1ccn[nH]1,AP,1,0,1,1,0.5266484082045457,1,1,6.813264167155642,,
+Cc1ccn[nH]1,AP,1,1,1,0,0.4904468907838006,1,1,14.82874220317474,,
+Nc1ncc2[nH]ccc2n1,AP,1,1,0,1,0.5521636672820287,0,1,30.166280381581757,,
+Cc1cc[nH]n1,AP,1,1,1,0,0.4904468907838006,1,1,18.68420451054827,,
+c1ccc2c(c1)[nH]c1ncccc12,AP,1,1,1,1,0.5489485570430717,0,1,40.75417186273409,,
+COc1cc(-c2cccnc2N)cc(OC)c1OC,AP,1,1,0,1,0.9136257774468136,0,1,41.65979223027284,,
+Nc1ccc2nccn2n1,AP,1,1,1,1,0.5638030951061849,1,1,42.20375806539091,512.0,1.0
+COc1cc(-c2cccnc2)cc(OC)c1OC,AP,1,1,0,1,0.83008585938348,0,1,55.26453774831965,,
+COc1cc(-c2cnccc2C)cc(OC)c1OC,AP,1,1,0,1,0.8456647836919536,0,1,41.803681848587686,,
+COc1cc(C2=CNC=C(c3ccccc3)[C@H]2C)cc(OC)c1OC,AP,1,1,0,1,0.8812079843982508,0,1,2.740555305824942,,
+Cc1cccc2nc[nH]c(=O)c12,AP,1,1,1,1,0.6296228179680179,1,1,33.8410268029552,246.0,1.0
+O=c1[nH]cnc2ccccc12,AP,1,1,1,1,0.6003509616659684,1,1,49.06194613610719,1512.0,1.0
+Cc1nc2cccc(C)c2c(=O)[nH]1,AP,1,1,1,1,0.6580586410337298,1,1,27.70760628202652,0.0,0.0
+COc1cccc(-c2cnccc2C)c1,AP,1,1,0,1,0.7411607300806361,0,1,45.61530880832209,,
+c1cnn2cccc2c1,AP,1,1,1,1,0.509815139625202,0,1,26.14469593478608,,
+Cn1ccc2ccncc2c1=O,AP,1,1,1,1,0.5743423431787907,0,1,32.60806073765457,,
+Nc1ncnc2ccccc12,AP,1,1,1,1,0.6058167298330609,1,1,40.815128069192745,654.0,1.0
+COc1cc(-c2cncc3c2C[N@@H+](C)Cc2ccccc2-3)cc(OC)c1OC,AP,1,1,0,1,0.7593399021572478,0,1,9.687438234955982,,
+COc1cc(-c2cncc3c2CCOc2ccccc2-3)cc(OC)c1OC,AP,1,1,0,1,0.688597422522575,0,1,5.837593089244502,,
+CC(=O)n1cc2[nH]nc(NC=O)c2c1,AP,1,0,0,1,0.6832541084189407,0,1,7.653033499078143,,
+Nc1ccnc(N)n1,AP,1,1,0,0,0.4777611922776153,1,1,26.34741885629736,,
+Nc1cn[nH]c1,AP,1,1,1,0,0.4632257080621317,1,1,12.244981556177024,,
+O=CNc1cn[nH]c1,AP,1,0,1,1,0.5266484082045457,1,1,10.516748563411555,,
+Brc1cnc2[nH]cnc2c1,AP,1,1,1,1,0.6995654942478055,1,1,31.23427654189242,202.0,1.0
+Clc1cnc2cnccn12,AP,1,1,1,1,0.5726104908728296,1,1,33.86726009941444,306.0,1.0
+O=CNc1n[nH]c2ccsc12,AP,1,0,1,1,0.6599358884582679,0,1,13.7240623154254,,
+Nc1ncc(F)c(N)n1,AP,1,1,0,1,0.5059492074150636,1,1,19.09389561265286,,
+Nc1ccc2ncccc2c1,AP,1,0,1,1,0.5725810426076291,1,1,48.346598774821096,,
+Nc1n[nH]c2ccccc12,AP,1,1,1,1,0.5658999712435826,1,1,31.70116676640892,724.0,1.0
+Nc1ncnc2occc12,AP,1,1,0,1,0.5799503038107797,0,1,21.107540377517743,,
+Cc1cn2ccnc2cn1,AP,1,1,1,1,0.5370900072608146,1,1,35.856587603219474,982.0,1.0
+c1cn2ccnc2cn1,AP,1,1,1,1,0.5113756047374779,1,1,39.33473876475038,2138.0,1.0
+Cc1c[n+]2c(cn1)[NH2+]C=C2c1cn[nH]c1,AP,1,0,0,1,0.6083890434317208,0,1,7.785977070020817,,
+Cc1cc(N)n[nH]1,AP,1,1,1,0,0.4888544533381425,1,1,17.627254462274625,,
+Clc1cnc2[nH]cnc2c1,AP,1,1,1,1,0.6249517393225209,0,1,27.217155141338598,,
+Nc1ncc2cc[nH]c2n1,AP,1,1,0,1,0.5521636672820287,1,1,30.228892595368663,,
+Nc1cc[nH]n1,AP,1,1,1,0,0.4632257080621317,1,1,15.506510937849146,,
+c1ncc2ccoc2n1,AP,1,1,1,1,0.524337023241302,0,1,20.91566462608599,,
+NC(=O)c1n[nH]c2ccccc12,AP,1,1,0,1,0.6444934248268473,1,1,54.52749912628104,,
+CCOC=O,AP,1,0,1,0,0.4365645501026903,1,0,-6.824448569140429,,
+O=c1[nH]c2ccc(O)cc2[nH]1,AP,1,1,0,1,0.5132501883692772,1,1,28.459521791723528,,
+Clc1cnc2nc[nH]c2c1,AP,1,1,1,1,0.6249517393225209,0,1,26.240222411330443,,
+Nc1nc(N)n(C=O)n1,AP,1,0,0,0,0.446084919315502,0,0,-2.4275150018049705,,
+Nc1nccs1,AP,1,1,1,1,0.5215253330648401,1,1,16.95309833793486,348.0,1.0
+Cc1ccc2c(c1)C(=O)N(C)c1cnc(N)nc1N2C,AP,1,1,0,1,0.7878518185359399,0,1,15.481806328491713,,
+Cc1ccc2c(c1)OCO2,AP,1,1,1,1,0.540310891015898,1,1,32.414211538116504,190.0,1.0
+c1ccc2c(c1)OCO2,AP,1,1,1,1,0.5176682759164258,1,1,24.83848061700253,914.0,1.0
+Oc1ccccc1,AP,1,1,1,1,0.514729544768675,1,1,22.78125845241812,1204.0,1.0
+O=C1N=Cc2ccccc21,AP,1,1,1,1,0.5207856484780935,0,0,-13.53033725805279,,
+c1ccc2n[nH]cc2c1,AP,1,1,1,1,0.5583728365871126,1,1,41.32193679387078,1036.0,1.0
+c1ccc2[nH]ncc2c1,AP,1,1,1,1,0.5583728365871126,1,1,41.54100241300441,1510.0,1.0
+c1ccncc1,AP,1,1,1,0,0.4531479654842905,1,1,20.589274983144826,,
+Clc1cncc2sccc12,AP,1,1,1,1,0.5911159685433134,0,1,24.24081383160717,,
+NC(=O)Nc1ccsc1,AP,1,1,1,1,0.6085545083181163,1,1,40.28538525560708,0.0,0.0
+Clc1cnc2[nH]ccc2c1,AP,1,1,1,1,0.6162749315196012,1,1,44.7940476327261,408.0,1.0
+O=Cc1c[nH]c2ncccc12,AP,1,0,1,1,0.6174470277650994,1,1,30.86197986970827,,
+c1cc2ccoc2cn1,AP,1,1,1,1,0.5283477685064296,1,1,27.16527626385493,318.0,1.0
+NC(=O)c1cc2ccncc2o1,AP,1,1,0,1,0.6775304324969798,0,1,29.3648696129481,,
+Nc1coc2cnccc12,AP,1,1,1,1,0.5922099720914726,0,1,12.773381794345774,,
+c1cc2ccsc2cn1,AP,1,1,1,1,0.5397735725540235,1,1,27.13003469376944,704.0,1.0
+COc1n[nH]c2ncc(N)cc12,AP,1,1,0,1,0.6447765138705841,0,1,22.90669859326972,,
+Nc1cnc(N)c(Br)c1,AP,1,1,0,1,0.6378950106210678,1,1,24.5996902615513,,
+CC(=O)Nc1ccccn1,AP,1,1,1,1,0.6263238604714195,1,1,47.49862526573194,906.0,1.0
+Oc1ccc(Cl)c2cccnc12,AP,1,1,1,1,0.6745322343274752,1,1,43.91364625593198,270.0,1.0
+Cn1c(=O)ccc2cnc(N)nc21,AP,1,1,0,1,0.6084149207744362,1,1,24.16384109351519,,
+Nc1ncnc2c(C=O)csc12,AP,1,0,0,1,0.6650205532661347,0,1,12.01547606590873,,
+NC(=O)Nc1cc(N)ncn1,AP,1,1,0,1,0.5073873979826581,0,1,38.16345328665303,,
+c1cnc2nc[nH]c2c1,AP,1,1,1,1,0.5607362152362961,1,1,29.25616967008937,394.0,1.0
+CNc1ccc2ncn(C)c(=O)c2c1,AP,1,1,1,1,0.7268761570026288,1,1,39.45328419034719,0.0,0.0
+O=Cc1c[nH]c2ncc(Cl)cc12,AP,1,0,1,1,0.6829398534512952,1,1,24.597261824527244,,
+O=Cc1c[nH]c2ncc(-c3cncnc3)cc12,AP,1,0,0,1,0.6738970933666125,0,1,26.99742461873134,,
+Nc1ncnc2[nH]cc(Cl)c12,AP,1,1,0,1,0.621159231098622,1,1,24.5421434266892,,
+c1ncc2[nH]cnc2n1,AP,1,1,1,1,0.5454672838232755,1,1,20.65547250238942,564.0,1.0
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+c1cncnc1,AP,1,1,1,0,0.4525571430979931,1,1,20.650117467972965,,
+c1cn2c(-c3cn[nH]c3)cnc2cn1,AP,1,1,1,1,0.617595476139162,1,1,37.66103760445785,0.0,0.0
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+Nc1[nH]ncc1C=O,AP,1,0,0,1,0.4929363112315002,1,1,8.079684695524305,,
+CN1C(=O)NCc2cnc(N)nc21,AP,1,1,0,1,0.5732088230424951,0,0,-13.643395818123803,,
+Nc1ncnc2nc[nH]c12,AP,1,1,0,1,0.5296759293780585,1,1,26.611361607375347,,
+Nc1nccn2ccnc12,AP,1,1,1,1,0.5638030951061849,1,1,25.62870220979388,576.0,1.0
+Cn1ccncc1=O,AP,1,1,1,0,0.4624735047554044,1,1,20.309199042427714,,
+Cn1cccc(N)c1=O,AP,1,1,1,1,0.5275047833665327,1,1,24.52971273842459,812.0,1.0
+Cn1ccccc1=O,AP,1,1,1,0,0.4719138439954858,1,1,30.41344293946266,,
+O=c1cccn[nH]1,AP,1,1,1,0,0.4845465820485107,1,1,16.393963737650818,,
+NC=O,AP,1,0,1,0,0.3523255130205271,1,0,-3.29609306080239,,
+NC(=O)c1cccnc1N,AP,1,1,0,1,0.5601323657155416,1,1,40.033456674088,,
+Cn1ccnc(N)c1=O,AP,1,1,0,1,0.5014678028929576,1,1,22.21804175037937,,
+Cn1ncccc1=O,AP,1,1,1,0,0.4624735047554044,1,1,30.213596679087107,,
+Nc1ncnc2[nH]ncc12,AP,1,1,0,1,0.5296759293780585,1,1,24.67067210903871,,
+Nc1ccc2nccnc2c1,AP,1,0,1,1,0.5667175363853326,1,1,42.21819807840159,,
+Nc1ncnc(N)n1,AP,1,1,0,0,0.449416778456393,1,1,17.079409888018347,,
+NC1=NCC=NC1=O,AP,1,1,0,0,0.433256140144005,0,0,-32.28946480884326,,
+Cn1nccc(N)c1=O,AP,1,1,0,1,0.5014678028929576,1,1,17.667870161747025,,
+Nc1ccn[nH]c1=O,AP,1,1,0,0,0.4670416161550293,1,1,10.890024228172164,,
+NC(=O)c1ccc(N)nc1,AP,1,1,0,1,0.5601323657155416,1,1,41.39074641217584,,
+NC(=O)c1cccnc1O,AP,1,1,0,1,0.5678515844292622,1,1,25.36242051773053,,
+Nc1ncnc2[nH]cc(C=O)c12,AP,1,0,0,1,0.5923815485979881,0,1,18.38801703462645,,
+Cn1c2c(cc(N)c1=O)-c1ccccc1C[C@H](O)C2,AP,1,1,0,1,0.7412044679195968,0,1,0.6861190766721115,,
+Nc1ncc2[nH]c(=O)c(=O)[nH]c2n1,AP,1,0,0,0,0.4291621838139394,0,1,18.552856954063923,,
+CNc1cc(N)ncn1,AP,1,1,0,1,0.5569791707820108,1,1,30.809021154744013,,
+NC(=O)c1cn[nH]c1N,AP,1,1,0,0,0.4539721011557528,1,1,19.031449228022336,,
+c1cnc2[nH]cnc2c1,AP,1,1,1,1,0.5607362152362961,1,1,31.112087988190105,1028.0,1.0
+O=c1[nH]cn[nH]1,AP,1,1,0,0,0.4284433255754357,1,1,10.37345773658368,,
+NC(=O)c1nccnc1N,AP,1,1,0,1,0.5284027360700222,1,1,33.24092163653578,,
+COc1cnccc1N,AP,1,1,1,1,0.5982384187369707,1,1,16.361795385980344,428.0,1.0
+C/N=c1\nc(N)c(C(N)=O)c[nH]1,AP,1,1,0,0,0.479035708685154,0,1,14.071308496562994,,
+NC(=O)c1cnc(N)[nH]/c1=N\C1CCCC1,AP,1,1,0,1,0.6498398282091296,0,1,21.576466900914408,,
+Cc1cc(Br)c(C/N=c2\nc(N)c(C(N)=O)c[nH]2)cc1Br,AP,1,1,0,1,0.7138017109062661,0,1,39.737504616450686,,
+Cc1cc(Br)c(CNc2ncc(C(N)=O)c(N)n2)cc1Br,AP,1,1,0,1,0.7121540666135415,0,1,71.45649794835329,,
+NC(=O)c1n[nH]cc1N,AP,1,1,0,0,0.4539721011557528,1,1,19.086790805884924,,
+Nc1nc(O)c2nc[nH]c2n1,AP,1,1,0,0,0.4769713284240621,1,1,26.0129445098292,,
+O=c1ccoc2cc(O)cc(O)c12,AP,1,1,0,1,0.6354873593320908,1,1,27.29972257617716,,
+CCn1cnc2c(N)ncnc21,AP,1,1,0,1,0.6613593002754281,1,1,48.292539106390926,,
+CCc1cnn2c(N)ccnc12,AP,1,1,1,1,0.67660634210555,1,1,26.36611572089349,0.0,0.0
+O=c1[nH]cnc2c1oc1ccc(Cl)cc12,AP,1,1,1,1,0.6325832963967335,0,1,35.741341989260896,,
+Cn1cnc2c(N)ncnc21,AP,1,1,0,1,0.5695517474821745,1,1,31.737596772945963,,
+Nc1ncc2nc[nH]c2n1,AP,1,1,0,1,0.5296759293780585,1,1,21.18994719334084,,
+COc1nc(N)nc(N)c1N=O,AP,1,1,0,1,0.6036976744590201,0,1,12.650676002666824,,
+O=C1Cc2cc(S(=O)(=O)[O-])ccc2N1,AP,1,0,0,1,0.667953140702261,0,1,29.63755010814528,,
+N/C=C1\C(=O)Nc2ccc3ncsc3c21,AP,1,0,0,1,0.657699105439811,0,0,-23.23330330448355,,
+Nc1ncnc2[nH]cnc12,AP,1,1,0,1,0.5296759293780585,1,1,30.04905878706934,,
+NC(N)=O,AP,1,1,0,0,0.3705073514035382,1,1,12.3711326840275,,
+NC(=O)Nc1cc[nH]n1,AP,1,1,0,0,0.4905453419261288,0,1,32.75285051914737,,
+Nc1ccncn1,AP,1,1,1,1,0.4953127132437441,1,1,24.137073389913574,1066.0,1.0
+Nc1cc(N)ncn1,AP,1,1,0,0,0.4777611922776153,1,1,22.94180621912212,,
+Nc1ncc(Br)cn1,AP,1,1,1,1,0.6328582562302699,1,1,26.407954697025676,740.0,1.0
+N/C=C1\C(=O)Nc2ccccc21,AP,1,0,1,1,0.5547257407725986,0,0,-6.7960721137178055,,
+O=C1Nc2ccc3ncsc3c2/C1=N/Nc1ccccc1,AP,0,0,0,1,0.7138144058460063,0,1,29.665646167879046,,
+Nc1ncc(N=O)c(N)n1,AP,1,1,0,1,0.533753371986507,1,1,8.445057210712758,,
+CC(=O)Nc1ncccn1,AP,1,1,1,1,0.6104260962860729,1,1,42.0931796859136,0.0,0.0
+O=C1Nc2ccc(F)c3ccc(-c4ccc[nH]4)c1c23,AP,1,1,0,1,0.6832117463289039,0,1,1.6880748367178176,,
+Nc1nc2ccc(C=O)cn2c1C=O,AP,1,0,0,1,0.6992233797299435,0,1,17.500931576866055,,
+COc1cc[nH]c1C,AP,1,1,1,1,0.5806914874315203,1,1,21.52948613870356,0.0,0.0
+O=CNc1cc[nH]n1,AP,1,0,1,1,0.5266484082045457,1,1,11.179188932838532,,
+Nc1cc(Cl)nc2ccnn12,AP,1,1,1,1,0.5966276546315371,1,1,25.056003197169435,162.0,1.0
+Nc1ccnc2ccnn12,AP,1,1,1,1,0.5638030951061849,1,1,25.54147732141739,1558.0,1.0
+Nc1cn2cc(C=O)ccc2n1,AP,1,0,0,1,0.6269506363663427,1,1,22.201129023699757,,
+O=C1c2ccccc2-c2n[nH]cc21,AP,1,1,1,1,0.5568376219021443,0,1,15.661927318992522,,
+CCc1n[nH]c2nc[nH]c(=O)c12,AP,1,1,0,1,0.6321938181908657,0,1,34.11315903061319,,
+C[C@@]1(O)/C(=C2/C(=O)Nc3ccc([SH](=O)=O)cc32)Nc2ccccc21,AP,1,0,0,0,0.4668941064864818,0,0,-55.359504599105385,,
+NC(=O)c1n[nH]c2c1CCc1[nH]ncc1-2,AP,1,1,0,1,0.6075062323408393,0,1,19.26020722810384,,
+[O+]#[N+2]([O-])c1cccc(Nc2ncccn2)c1,AP,1,0,0,1,0.616945142891312,0,1,57.166358496958296,,
+Nc1ccnc2ncnn12,AP,1,1,0,1,0.5383637047155415,1,1,24.68763136672711,,
+Cc1ccc2occ(O)c(=O)c2c1,AP,1,1,1,1,0.6654734086251236,0,1,39.30508150873308,,
+c1ncc2nc[nH]c2n1,AP,1,1,1,1,0.5454672838232756,1,1,19.38059096174531,336.0,1.0
+COc1cc2nc[nH]c2cc1OC,AP,1,1,1,1,0.7589847809994558,0,1,40.73744410985244,,
+Fc1ccccc1-c1cn2ccnc2cn1,AP,1,1,1,1,0.6214089754511068,0,1,48.06887685493216,,
+Cc1cnc2c(N)nccn12,AP,1,1,1,1,0.5954370615348293,0,1,20.646010162702268,,
+Nc1ccnc2c(Br)cnn12,AP,1,1,1,1,0.7115952478146391,1,1,22.46523074168695,8.0,1.0
+Nc1cccc2c(Br)cnn12,AP,1,1,1,1,0.7213094135103859,0,1,21.117125790288185,,
+Nc1cccn2c(Br)cnc12,AP,1,1,1,1,0.7213094135103859,1,1,23.451116107393887,20.0,1.0
+Nc1ccnc2c(CO)cnn12,AP,1,1,0,1,0.6117586632507916,1,1,18.933124965922477,,
+Cc1ccco1,AP,1,1,1,0,0.4628605847396023,1,1,19.55617176649155,,
+Cc1ccc(-c2ccccc2)o1,AP,1,1,0,1,0.6204760024300537,1,1,48.21584543526078,,
+CCc1ccco1,AP,1,1,1,1,0.5195790437613876,1,1,32.52289738289828,450.0,1.0
+[H]/N=C1\NC(=O)CS1,AP,1,0,1,0,0.4595902452065177,0,0,-15.582216331446991,,
+NC(=O)c1cc[nH]n1,AP,1,1,0,1,0.5128254311845627,1,1,27.40768558707893,,
+N#Cc1cnn2c(N)cc(Cl)nc12,AP,1,1,0,1,0.6289718547627411,0,1,23.05940675103565,,
+N#Cc1cnn2c(N)ccnc12,AP,1,1,0,1,0.5942836481630253,1,1,25.314565722533032,,
+c1ccc(Nc2ncccn2)cc1,AP,1,1,1,1,0.752389705777418,1,1,65.22409755389877,2.0,1.0
+Nc1ncc(F)cn1,AP,1,1,1,1,0.5223973940745565,1,1,19.727113347286437,652.0,1.0
+Cn1ncc2c1-c1nc(N)ncc1CC2,AP,1,1,0,1,0.6756882529337385,0,1,11.011643159274218,,
+CC1(C)c2[nH]nc(N)c2CN1C=O,AP,1,0,0,1,0.6060188060629421,1,0,-22.743345897202527,,
+CNC(=O)c1nn(C)c2c1ccc1cnc(N)nc12,AP,1,1,0,1,0.6585951952833748,0,1,35.31773026679583,,
+Cc1nc2c(s1)-c1nc(N)ncc1CC2,AP,1,1,0,1,0.7289213591751048,0,1,9.01225202303721,,
+COc1ccnc2[nH]ccc12,AP,1,1,1,1,0.66614760974663,1,1,36.45095187593385,494.0,1.0
+Oc1ccnc2[nH]ccc12,AP,1,1,1,1,0.5695767699152823,1,1,23.784334390447714,78.0,1.0
+Nc1nccc2cc3c(O)ccnc3n12,AP,1,1,0,1,0.5707231306731465,0,1,0.7348499346676491,,
+Nc1ncnc2ccnn12,AP,1,1,0,1,0.5383637047155415,1,1,23.87191451780354,,
+Cc1ncn2nc(N)ncc12,AP,1,1,0,1,0.5726845816021439,0,1,16.610305529716232,,
+c1ccc2[nH]c(-c3n[nH]c4ccccc34)nc2c1,AP,1,1,0,1,0.5313446542836318,1,1,48.49108093279667,,
+CC(=O)Nc1c[nH]cn1,AP,1,1,1,1,0.5692234054682064,1,1,24.82474298347923,0.0,0.0
+Nc1c[nH]cn1,AP,1,1,1,0,0.4632257080621317,1,1,13.05738056664325,,
+Nc1n[nH]c2c(F)c(F)ccc12,AP,1,1,1,1,0.6262010296884438,0,1,16.04432541215502,,
+Nc1n[nH]c2cc(Cl)ccc12,AP,1,1,1,1,0.6288112834438336,0,1,35.249514698434304,,
+Nc1ncnc2cn[nH]c12,AP,1,1,0,1,0.5296759293780585,1,1,21.32006460092345,,
+Nc1ncnc(-c2cc(Cl)ccc2O)n1,AP,1,1,0,1,0.7635070032978527,0,1,28.042246595519597,,
+C=CCNc1nc(N)c(C=O)s1,AP,1,0,0,1,0.5421761045977664,0,1,20.02060358986929,,
+c1n[nH]c2c1CCCC2,AP,1,1,1,1,0.5515098250854542,0,1,27.93428517469036,,
+CNC(=O)c1n[nH]c2c1CCCC2,AP,1,1,1,1,0.6645892509417041,0,1,45.80680853776977,,
+Nc1nc(N)c(C=O)s1,AP,1,0,0,1,0.5468594863905379,1,1,4.749548279583218,,
+Nc1csc(N)n1,AP,1,1,0,1,0.5110070188475047,1,1,15.919540019485344,,
+CNc1cc(Cl)c([N+](=O)[O-])cc1C(N)=O,AP,1,0,0,1,0.6043611455193832,0,1,41.158758507274,,
+CNc1cc(Cl)c([N+2](#[O+])[O-])cc1C(N)=O,AP,1,0,0,1,0.5973219008934295,0,1,31.12525332981567,,
+NC(=O)c1cc([N+](=O)[O-])ccc1N,AP,1,0,0,0,0.3870934615773343,1,1,44.56995534189344,,
+CNc1cc(OC)c([N+2](#[O+])[O-])cc1C(N)=O,AP,1,0,0,1,0.5941081872645152,0,1,35.75053490737289,,
+NC(=O)c1cc([N+2](#[O+])[O-])ccc1N,AP,1,0,0,0,0.3776210148912589,0,1,25.489773587476872,,
+NC(=O)c1ccccc1N,AP,1,0,0,1,0.5473422654963029,1,1,32.14342487361283,,
+NNC(=O)c1n[nH]c2c1CCCC2,AP,1,0,0,0,0.3201524131175091,0,1,42.77754078066805,,
+CNc1ccc([N+2](#[O+])[O-])cc1C(N)=O,AP,1,0,0,1,0.5468854093262764,0,1,30.51279420085596,,
+NC(=O)c1sc(N)nc1N,AP,1,1,0,1,0.5069947057515675,0,1,23.35985620833857,,
+Cc1cc(C)c(Cc2c(O)[nH]c3ccc(F)cc23)[nH]1,AP,1,1,0,1,0.6465732768749115,0,1,46.31727647778884,,
+Cc1cnc2ccnn2c1N,AP,1,1,1,1,0.5954370615348293,1,1,32.22974974047434,0.0,0.0
+Nc1nccnc1C=O,AP,1,0,0,1,0.5279733244447306,1,1,3.2892721006665613,,
+N#Cc1cnc(N)nc1,AP,1,1,0,1,0.5195864281171498,1,1,20.3545838651496,,
+Nc1nc(O)c2[nH]cnc2n1,AP,1,1,0,0,0.4769713284240622,1,1,19.21083277389289,,
+Nc1ncc2[nH]cnc2n1,AP,1,1,0,1,0.5296759293780585,1,1,25.37036465624505,,
+[O-]c1cccc2ccc(C3=NCCS3)nc12,AP,1,1,1,1,0.7488245973922308,0,1,7.133566887519313,,
+Cc1cc(NC=O)n[nH]1,AP,1,0,1,1,0.5578008655083114,1,1,8.525501537269342,,
+CC(=O)Nc1ccn[nH]1,AP,1,1,1,1,0.5692234054682064,1,1,25.0811703939741,584.0,1.0
+Cc1ccc2ncccc2c1,AP,1,1,1,1,0.5519055037199659,1,1,56.860961252929066,52.0,1.0
+CC(=O)Nc1cc[nH]n1,AP,1,1,1,1,0.5692234054682064,1,1,37.9951685550753,8.0,1.0
+N=[S@@](=O)([O-])c1ccc(N/N=C2\C(=O)Nc3ccccc32)cc1,AP,0,0,0,1,0.750561368963537,0,1,45.84616414291877,,
+N=[S@@](=O)([O-])c1ccc(N/N=C2\C(=O)Nc3ccc(C=O)cc32)cc1,AP,0,0,0,1,0.5745401116450196,0,1,36.9888104757337,,
+Nc1ncc(S)s1,AP,1,0,1,1,0.5170817506567151,1,1,0.3798179470374201,,
+Nc1cc2[nH]ccc2cn1,AP,1,1,1,1,0.5658999712435825,0,1,31.192418941068716,,
+c1ccc2[nH]cnc2c1,AP,1,1,1,1,0.5583728365871126,1,1,39.49652870819706,220.0,1.0
+O=c1ccc2ccc(O)cc2o1,AP,1,0,1,1,0.5969446160833805,1,1,40.2202979851907,,
+NC(=O)C1C(=O)NC(=O)NC1=O,AP,1,0,0,0,0.3761896620040759,0,0,-3.5125328682918013,,
+O=CNc1ncc(S)s1,AP,1,0,1,1,0.5003614800563138,1,0,-11.300389364685149,,
+Nc1ncc(Br)c(O)n1,AP,1,1,0,1,0.6251610741094917,1,1,15.795511093089155,,
+Nc1ncnc2c[nH]nc12,AP,1,1,0,1,0.5296759293780585,1,1,20.50116397631588,,
+Fc1cnc(Nc2ccccn2)nc1,AP,1,1,0,1,0.7833521408660288,0,1,51.48470346138999,,
+O=C1CC(O)=CC=N1,AP,1,1,1,1,0.492388429359408,0,0,-29.070684979542435,,
+Nc1ncnc(N)c1N=O,AP,1,1,0,1,0.533753371986507,0,1,5.4623303743486495,,
+O=c1[nH]ccc2nccn12,AP,1,1,1,1,0.5533390482998546,0,1,25.086936621280717,,
+O=[S@@]1CCc2c(cnc3ccc4n[nH]cc4c23)C1,AP,1,1,1,1,0.6690241607312236,0,0,-1.795087538728141,,
+Nc1ncc2ccc(=O)[nH]c2n1,AP,1,1,0,1,0.5660876995210078,1,1,19.12772455918848,,
+C1=C(c2cc3cccnc3[nH]2)CC[NH2+]C1,AP,1,1,1,1,0.7059384270823092,0,1,14.306177142558148,,
+Nc1ncc(Br)c(N)n1,AP,1,1,0,1,0.6187185795183504,1,1,22.3016681024189,,
+Nc1cc2ncccc2cn1,AP,1,1,1,1,0.6058167298330609,0,1,31.99951907949784,,
+Cn1cc(NC=O)cn1,AP,1,0,1,1,0.5648301292644973,0,1,16.079943196595597,,
+Nc1ncc2ccc(C=O)cc2n1,AP,1,0,0,1,0.6535582975287043,0,1,24.02445449591781,,
+c1ccc(Nc2cc[nH]n2)nc1,AP,1,1,1,1,0.7003133207110862,0,1,52.62643964282725,,
+c1cnc2[nH]ccc2n1,AP,1,1,1,1,0.5607362152362961,1,1,25.633471150588832,50.0,1.0
+O=C1Cc2ccccc2N1,AP,1,1,1,1,0.5653488967385903,1,1,1.0253554500825568,6.0,1.0
+c1ccc2scnc2c1,AP,1,1,1,1,0.5397735725540235,1,1,40.1634330620127,860.0,1.0
+Nc1cc2nc(O)ccc2cn1,AP,1,1,0,1,0.6021584656082188,0,1,9.854914508934415,,
+O=c1c(O)coc2cc(O)ccc12,AP,1,1,0,1,0.6354873593320908,1,1,29.527753197003847,,
+Cc1cc(=O)[nH]c2nc(N)ncc12,AP,1,1,0,1,0.6004416363868018,0,1,24.313134522184097,,
+C[NH+]1CCC(Nc2ncccn2)CC1,AP,1,1,1,1,0.6692877532159137,0,1,55.54670027843155,,
+c1ccc(Nc2ncccn2)nc1,AP,1,1,0,1,0.7473022593397449,1,1,57.451949335272815,,
+O=C(c1ccncc1)c1nc2ncccc2[nH]1,AP,1,1,0,1,0.6706882865650794,0,1,59.53915627954076,,
+Nc1ncc2c(n1)[nH]c1cnccc12,AP,1,1,0,1,0.5489327721439603,0,1,20.357546286846254,,
+c1ccc(Nc2ncc3cc[nH]c3n2)nc1,AP,1,1,0,1,0.6807693492387813,0,1,65.32233438209079,,
+CNc1ncnc2ccnn12,AP,1,1,0,1,0.6273894083440266,0,1,29.01231938629568,,
+c1ccc2cnccc2c1,AP,1,1,1,1,0.5311915584041306,1,1,39.36588766207535,1278.0,1.0
+Clc1cccnc1,AP,1,1,1,1,0.4994929876185537,1,1,31.118626769046976,4100.0,1.0
+Oc1cncc2sccc12,AP,1,1,1,1,0.6243115793086027,1,1,18.231467820069472,0.0,0.0
+Nc1ncccc1Cl,AP,1,1,1,1,0.572458049351884,1,1,29.98004094229593,2220.0,1.0
+Cc1n[nH]c2cc(O)c(C=O)cc12,AP,1,0,0,1,0.6450160142408264,0,1,22.688449014075395,,
+c1cnc2ccncc2c1,AP,1,1,1,1,0.5412819114011972,1,1,42.93450337307583,1040.0,1.0
+Cc1ncc2sc(C=O)nn12,AP,1,0,1,1,0.5929771907827713,0,1,6.002428054607666,,
+Cc1n[nH]c2ncc(C=O)cc12,AP,1,0,1,1,0.6364092334360997,1,1,37.21557212761629,,
+Nc1n[nH]c2ccc(C=O)cc12,AP,1,0,0,1,0.6115984485301853,1,1,23.598172314766437,,
+c1cc2cnccc2cn1,AP,1,1,1,1,0.5412819114011972,0,1,24.961577893649626,,
+Cc1ccc(Nc2ncc(C#N)cn2)cc1[SH](=O)=O,AP,1,0,0,1,0.8206210479891586,0,1,15.397810112397057,,
+N#Cc1cnc(Nc2cccc(O)c2)nc1,AP,1,1,0,1,0.7926531573830059,0,1,57.38943539555299,,
+[NH3+][C@H]1CC[C@H](Nc2ncc(F)cn2)CC1,AP,1,1,0,1,0.7517255258870635,0,1,51.81224709550427,,
+O=CNc1ccc(Cl)cn1,AP,1,0,1,1,0.6563005773177188,0,1,24.43384095337382,,
+NC(=S)n1nc(N)nc1N,AP,1,0,0,0,0.3977881633449778,0,1,14.848981281458483,,
+Nc1ccn[nH]1,AP,1,1,1,0,0.4632257080621317,1,1,13.19404479047151,,
+O=C1NCCCc2c1[nH]c(Cl)c2Cl,AP,1,1,1,1,0.6880852263853149,0,0,-13.552087347411788,,
+CN(CCO)c1ncnc2occc12,AP,1,1,0,1,0.7750486048590693,0,1,44.62953424090265,,
+ON=C1c2ccccc2-c2ccccc21,AP,1,0,1,0,0.4338792337516748,1,1,16.095606372916187,,
+O=[N+]([O-])c1cccc2ncccc12,AP,1,0,1,0,0.4912108140527249,1,1,51.738661446024224,,
+c1ccc(-c2n[nH]c3c2Cc2ccccc2-3)cc1,AP,1,1,0,1,0.5329051721218767,0,1,29.96903318567625,,
+Cc1ccc2c(c1)Cc1c[nH]nc1-2,AP,1,1,1,1,0.5506082576755823,0,1,2.4228263689918763,,
+NC(=O)Nc1cnccn1,AP,1,1,0,1,0.5712093748835607,0,1,33.662649400269395,,
+O=c1ccc2cc(Cl)ccc2[nH]1,AP,1,1,1,1,0.6608478832484261,0,1,46.639680533188425,,
+N#Cc1ccc2cn[nH]c2c1,AP,1,1,1,1,0.6061234099403053,1,1,45.37790577645946,570.0,1.0
+O=c1ccc2ccccc2[nH]1,AP,1,1,1,1,0.5986881320129136,1,1,36.81069293564177,462.0,1.0
+O=c1[nH]ccc2ccc3ccccc3c12,AP,1,0,1,1,0.5494642545068136,0,1,36.04693666395213,,
+Nc1nc2c(s1)C(=O)NCCC2,AP,1,1,0,1,0.6114780498638354,1,0,-19.361706604846685,,
+CSC1=NCC(=O)N1,AP,1,1,1,1,0.4945629263702222,0,0,-16.03928484530729,,
+Brc1cnc2[nH]ncc2c1,AP,1,1,1,1,0.6995654942478055,1,1,25.703405907241716,164.0,1.0
+c1cnc2[nH]ncc2c1,AP,1,1,1,1,0.5607362152362961,1,1,28.64592051860852,2938.0,1.0
+NC(=O)Nc1cccs1,AP,1,1,1,1,0.6085545083181163,1,1,36.59269323057316,0.0,0.0
+O=c1[nH]nc2cc(CO)c3ccccc3n12,AP,1,1,0,1,0.626341715287401,0,1,42.27200224117352,,
+O=Cc1cnc2[nH]ncc2c1,AP,1,0,1,1,0.6058571277711334,1,1,13.681850809606448,,
+c1cc2c(cn1)[nH]c1ncncc12,AP,1,1,1,1,0.5559249024997563,0,1,18.36805422765584,,
+Nc1cc2cccc(Cl)c2cn1,AP,1,1,1,1,0.6733093458150886,0,1,30.66103422259105,,
+Cc1[nH]ncc1C(N)=O,AP,1,1,0,1,0.5459629720823942,1,1,26.49151812870542,,
+Nc1c(Br)cnc2ccnn12,AP,1,1,1,1,0.7115952478146391,0,1,33.54649080002469,,
+Cn1cc(-c2cnn3c(N)ccnc23)cn1,AP,1,1,0,1,0.6470852515532975,0,1,26.570599983033823,,
+NC(=O)c1nncc2ccsc12,AP,1,1,0,1,0.7032000860979215,0,1,28.75432507859128,,
+NC(=O)c1cncc2ccsc12,AP,1,1,1,1,0.7170662313566754,0,1,34.53319349613291,,
+c1cscn1,AP,1,1,1,0,0.4600956630432944,1,1,10.529788929865203,,
+COc1cc2c(cc1OC)-c1n[nH]cc1C2,AP,1,1,1,1,0.7122853907559993,0,1,14.601459844456564,,
+c1ccc2c(c1)Cc1c[nH]nc1-2,AP,1,1,1,1,0.5293697062637044,1,1,6.450797136233181,0.0,0.0
+COc1cc2c(cc1OC)C1=NN=C(c3ccccc3)C1=C2,AP,1,1,0,1,0.8700849431476747,0,0,-0.3759534881320459,,
+COc1cc2c(cc1OC)-c1[nH]nc(-c3ccccc3)c1C2,AP,1,1,0,1,0.6265264551361466,0,1,37.53859778781083,,
+COc1ccc2c(c1)-c1n[nH]cc1C2,AP,1,1,1,1,0.6307168631573826,0,1,7.412765306066133,,
+O=C1Nc2ccccc2Nc2ccccc21,AP,1,1,1,1,0.7013882665837136,0,1,1.052708969003263,,
+O=C1Nc2ccccc2Nc2cc(Cl)ccc21,AP,1,1,0,1,0.7427674122224182,0,1,9.083106604892436,,
+Oc1ccc2c(c1)Cc1c-2n[nH]c1-c1ccccc1,AP,1,1,0,1,0.5423890400040464,0,1,24.698803650982537,,
+OCc1ccc2c(c1)-c1n[nH]c(-c3ccccc3)c1C2,AP,1,1,0,1,0.5827732443998141,0,1,27.88445147491904,,
+COc1ccc2c3[nH][nH]cc-3cc2c1,AP,1,1,1,1,0.6021966039912172,0,1,21.4367575530734,,
+COc1ccc2c(c1)-c1[nH]ncc1C2,AP,1,1,1,1,0.6307168631573826,0,1,14.33015144730047,,
+CCc1ccc2c(c1)-c1n[nH]cc1C2,AP,1,1,1,1,0.6182362513943631,0,1,2.635176571658949,,
+COc1ccc2c(c1)C(=O)N(c1nc(C=O)cs1)C2,AP,1,0,0,1,0.8043865747057712,0,1,1.0257157854101302,,
+c1ccc2c(c1)cnn2-c1nccs1,AP,1,1,1,1,0.6052285251991171,0,1,47.716145351947546,,
+NC(=O)c1nccc2nccn12,AP,1,1,0,1,0.63211680429936,0,1,32.32732120636924,,
+c1cnccn1,AP,1,1,1,0,0.4525571430979931,1,1,15.880211554733458,,
+Nc1cnccn1,AP,1,1,1,1,0.4953127132437441,1,1,22.138942562870167,1644.0,1.0
+c1cnc2[nH]c3cnccc3c2c1,AP,1,1,1,1,0.5595948629322984,1,1,32.49533985303093,0.0,0.0
+N#Cc1cc2c(cn1)[nH]c1ncccc12,AP,1,1,0,1,0.5946577079973375,0,1,34.70769822603166,,
+Nc1ccc(=O)[nH]c1,AP,1,1,1,0,0.4918387733795584,1,1,18.010891071800934,,
+Nc1ccnc(N)c1,AP,1,1,0,1,0.5014053270919594,1,1,20.73928543605726,,
+CN1C(=O)c2ccccc2N(C)c2nc(N)ncc21,AP,1,1,0,1,0.7700737617684715,0,1,19.200903443749368,,
+O=CNc1cccnc1,AP,1,0,1,1,0.58496959071241,1,1,19.73381573087477,,
+CCNc1nc(N)ncc1C(F)(F)F,AP,1,1,0,1,0.7693314489998826,0,1,28.43016759202585,,
+CNc1nc(N)nc2[nH]cc(Cl)c12,AP,1,1,0,1,0.6427047099024532,0,1,20.76566867512708,,
+c1ccc2c(-c3ccncn3)n[nH]c2c1,AP,1,1,1,1,0.6473789295391943,0,1,42.2476674232692,,
+Nc1ccccn1,AP,1,1,1,1,0.5126510027980979,1,1,26.87342481057936,3140.0,1.0
+N#Cc1c[nH]c2ncccc12,AP,1,1,1,1,0.6061234099403053,0,1,33.995461915121155,,
+N#Cc1c[nH]c2nc(N)ccc12,AP,1,1,0,1,0.600255192922872,0,1,28.68159599368949,,
+NC(=O)c1cccc2cc[nH]c12,AP,1,1,1,1,0.6479341807935022,1,1,51.15684287990974,64.0,1.0
+C/N=c1/cc[nH]c(N)n1,AP,1,1,0,0,0.4903053995287114,0,1,3.095290076159468,,
+Cn1cc(C#N)c2c(N)ncnc21,AP,1,1,0,1,0.6256725355800272,0,1,22.457999404545266,,
+Cn1cc(C#N)c2c(N)nc(/N=C3\C=N[N+](C)=C3)nc21,AP,1,0,0,1,0.7445554786896063,0,1,5.098512918543732,,
+Cn1cc(C#N)c2c(N)nc(N)nc21,AP,1,1,0,1,0.6049176847460646,0,1,23.52816716939624,,
+Cc1[nH]ncc1/N=c1/nc(N)c2c(C#N)cn(C)c2[nH]1,AP,1,1,0,1,0.5978077885620492,0,1,19.6110724102696,,
+NC(=O)c1ccccn1,AP,1,1,1,1,0.5772627921564857,1,1,39.38347460695913,1070.0,1.0
+Nc1ncc2ccccc2n1,AP,1,1,1,1,0.6058167298330609,1,1,34.23101428298383,1246.0,1.0
+Nc1ncc2cc(Cl)ccc2n1,AP,1,1,1,1,0.6718606972163413,0,1,36.32732814591708,,
+c1ccc2c(c1)cnn2-c1ccncn1,AP,1,1,1,1,0.5958421165357398,0,1,46.70278192446753,,
+Nc1cc2ccc(Cl)cc2cn1,AP,1,1,1,1,0.6733093458150887,0,1,28.909265189314382,,
+O=Cc1cc2cccc([N+2](#[O+])[O-])c2[nH]1,AP,1,0,0,0,0.4250312197473915,0,1,14.222556567392656,,
+NC(=O)c1ccc(-c2cccnc2N)cc1,AP,1,1,0,1,0.7911952636424726,0,1,46.19153316776804,,
+Nc1ncccc1-c1ccccc1,AP,1,1,1,1,0.7129493456429365,1,1,32.97743676913516,10.0,1.0
+Nc1ncccc1C=O,AP,1,0,1,1,0.5508463004919965,1,1,20.179272773855683,,
+Oc1ccc(F)cc1,AP,1,1,1,1,0.5392148187981868,1,1,24.33664661155088,1790.0,1.0
+O=Cc1c[nH]c2ccccc12,AP,1,0,1,1,0.6112724738328874,1,1,43.12823576511014,,
+O=Cc1cc2cccc([N+](=O)[O-])c2[nH]1,AP,1,0,0,0,0.4459135601196896,1,1,26.78839134619989,,
+NC(=O)c1ccc2nc[nH]c2c1,AP,1,1,0,1,0.6444934248268473,1,1,51.32623773943941,,
+c1ccc2nccnc2c1,AP,1,1,1,1,0.5412819114011972,1,1,35.5440912804079,2046.0,1.0
+Cc1ccc(N)nc1,AP,1,1,1,1,0.5375123323676086,1,1,29.816822798196625,542.0,1.0
+COc1ccc(CO)nc1,AP,1,1,1,1,0.6513699750723928,1,1,32.11909153793291,450.0,1.0
+C[NH2+]Cc1ccccn1,AP,1,1,1,1,0.5782968434319768,0,1,49.9579904459498,,
+c1cnc2c(c1)OCC[NH2+]C2,AP,1,1,1,1,0.5445226972738879,0,1,2.715497287526564,,
+OCc1ccccn1,AP,1,1,1,1,0.571659552744487,1,1,34.87830536017265,728.0,1.0
+c1ccc([C@H]2COCC[NH2+]2)nc1,AP,1,1,1,1,0.6211087330514302,0,1,6.978937432764678,,
+O=CNc1nc2ccccc2[nH]1,AP,1,0,1,1,0.6484659759237619,1,1,29.940419869403552,,
+Nc1cnc2c(N)nc(N)nc2n1,AP,1,1,0,0,0.4781488392364725,0,1,27.05614653574536,,
+O=CNc1ccccn1,AP,1,0,1,1,0.58496959071241,1,1,22.587925180664197,,
+Cc1ccc2nc(N)sc2c1,AP,1,1,1,1,0.6478348406982907,1,1,58.80262509378439,186.0,1.0
+CN1Cc2ncccc2C1=O,AP,1,1,1,1,0.5413492918348808,1,0,-0.734151250877018,,
+Nc1nc2ccc(Cl)cc2c2ncnn12,AP,1,1,0,1,0.6223930363713425,0,1,35.555373643433484,,
+CCn1cnc2c(N)nc(NC)nc21,AP,1,1,0,1,0.7224098720522533,1,1,37.45122204554523,,
+N#Cc1ccc2nc(N)[nH]c2c1,AP,1,1,0,1,0.600255192922872,1,1,20.886019086610503,,
+COc1cncnc1,AP,1,1,1,1,0.5271940515548245,1,1,26.64740103217025,1128.0,1.0
+c1ccc2c(c1)cnn2-c1cnccn1,AP,1,1,1,1,0.5958421165357399,0,1,47.60659306758871,,
+Nc1nncs1,AP,1,1,1,1,0.5046578314706381,1,1,13.562704486620008,40.0,1.0
+c1cc2cc3ccc4occc4c3cc2o1,AP,1,1,0,0,0.4295342326548033,0,1,10.950659291515814,,
+c1cc2c(ccc3ccc4occc4c32)o1,AP,1,1,0,0,0.4295342326548034,0,1,16.855196024869006,,
+Nc1nc2ccccc2c2cnccc12,AP,1,0,1,1,0.5600791057238473,0,1,35.36475607439318,,
+Nc1nc2ccccc2c2cncnc12,AP,1,0,0,1,0.5562378776450454,0,1,28.964714140456994,,
+Nc1nc2ccccc2c2cnc(NC3CC3)nc12,AP,1,0,0,1,0.6834802915130921,0,1,52.80373072989829,,
+O=C1COc2ccccc21,AP,1,1,1,1,0.5335807824192865,1,1,6.471326311878569,2.0,1.0
+COc1ccnc(N)n1,AP,1,1,0,1,0.5764414850620967,1,1,34.22222550393414,,
+Brc1c(Br)c(Br)c2[nH]cnc2c1Br,AP,1,0,0,0,0.4768219675446296,0,1,14.872492554360226,,
+C(=N/N=C1c2ccccc2-c2ccccc21)\c1ccccc1,AP,1,0,0,0,0.3807930047094249,0,1,50.1553002654808,,
+O=c1c(O)coc2c(Br)cc(Br)cc12,AP,1,1,0,1,0.8117280597296577,0,1,31.27810728020629,,
+O=CNc1nccs1,AP,1,0,1,1,0.5958642065098606,1,1,12.76167041115216,,
+Brc1c(Br)c(Br)c2n[nH]nc2c1Br,AP,1,0,0,1,0.5027847231791066,0,1,6.647969386256651,,
+Cc1ccc(O)cc1,AP,1,1,1,1,0.5359354364287862,1,1,25.918361055933115,1344.0,1.0
+Nc1ccccc1,AP,1,0,1,0,0.4800754634455598,1,1,23.741301320833813,,
+c1ccccc1,AP,1,1,1,0,0.4426283718993647,1,1,11.619019164323166,,
+O=C([O-])CCS,AP,1,0,1,0,0.460124511692713,1,1,7.573041994040148,,
+Cc1ccccc1,AP,1,1,1,0,0.4588062796575454,1,1,28.08176256853769,,
+Sc1ncnc2sccc12,AP,1,0,1,0,0.4805320005847253,1,1,15.581559565798957,,
+O=c1c(O)coc2c(Cl)cc(Cl)cc12,AP,1,1,1,1,0.7577462748353843,0,1,30.1391374693694,,
+COc1ccccc1O,AP,1,1,1,1,0.6127725486570803,1,1,32.61513906686136,1260.0,1.0
+N/C=C1\C(=O)CCc2c1oc1c(Cl)c(Cl)c(O)cc21,AP,1,0,0,1,0.7318457367455939,0,0,-25.98532709409548,,
+CCO,AP,1,1,1,0,0.4068079656553945,1,1,9.89095474709779,,
+CC(C)=O,AP,1,1,1,0,0.3982369618339747,1,1,13.561592886364918,,
+COc1cc(C)ccc1O,AP,1,1,1,1,0.6397107129957217,1,1,38.82700210531711,2.0,1.0
+CC=O,AP,1,0,1,0,0.355007613393232,1,1,1.755472309128927,,
+C=Cc1cc(O)cc2ncoc12,AP,1,1,1,1,0.6967209336613024,0,0,-8.685949818575564,,
+N#CCC(N)=O,AP,1,1,0,0,0.4599508369202799,0,1,13.900042138556184,,
+N#CCC(=O)Nc1nncs1,AP,1,1,0,1,0.6923552308359808,0,1,45.62399889787298,,
+c1cc2cc(c1)-c1cnn3ccc(nc13)NCCOCCO2,AP,1,1,0,1,0.6890177786407715,0,0,-90.20186047949096,,
+Nc1ccn2ncc(-c3cccc(O)c3)c2n1,AP,1,1,0,1,0.66152377299463,0,1,21.204581600264326,,
+c1ccc2ncccc2c1,AP,1,1,1,1,0.5311915584041305,1,1,50.88665479563308,1218.0,1.0
+NC(=O)c1ncnc2[nH]c(=O)[nH]c12,AP,1,1,0,1,0.5061530134943006,0,1,15.197158386048466,,
+C=C1CCc2ccccc2C1,AP,1,0,1,0,0.4910204999387574,0,0,-7.1102304594974814,,
+Cc1ccc2ncsc2c1,AP,1,1,1,1,0.5607361162562637,1,1,49.90386861216975,18.0,1.0
+O=[SH](=O)c1ccc2ncsc2c1,AP,1,0,1,1,0.7033918713500616,0,0,-4.107385381033634,,
+c1ccn(-c2cnccn2)c1,AP,1,1,1,1,0.6045482615564558,0,1,39.82629825629972,,
+N#CCc1[nH]nc(N)c1C#N,AP,1,1,0,1,0.5798073987268126,0,1,21.42778324505849,,
+c1ccc2ocnc2c1,AP,1,1,1,1,0.5283477685064296,1,1,21.28442097043861,968.0,1.0
+O=C1N=Cc2ccc3cc[nH]c3c21,AP,1,1,1,1,0.6426396539634639,0,0,-10.81802886160715,,
+O=C1N=Cc2ccc3cc(Br)[nH]c3c21,AP,1,1,1,1,0.7654536352954006,0,0,-21.829569164359334,,
+O=CNc1c[n+]2ccccc2[nH]1,AP,1,0,1,0,0.4846475532998657,0,1,12.412615144017296,,
+c1ccc(-c2coc3cccnc23)cc1,AP,1,1,0,1,0.5936046836183696,0,1,40.5600045503122,,
+c1cnc2c(-c3cn[nH]c3)coc2c1,AP,1,1,1,1,0.6319479937428737,0,1,31.563836883560963,,
+c1cnc2ccoc2c1,AP,1,1,1,1,0.5283477685064296,1,1,34.64601275809648,820.0,1.0
+Nc1c2ccncc2cc2cncnc12,AP,1,0,0,0,0.4392206199982847,0,1,18.42859000443225,,
+Cn1ccc2ccc(Cl)c(Cl)c21,AP,1,1,0,1,0.6129164346510715,0,1,26.766836268967356,,
+Cn1ccc2ccccc21,AP,1,1,1,1,0.5160980556298523,1,1,46.284316308267535,372.0,1.0
+O=CNc1cn2ccccc2n1,AP,1,0,1,1,0.665021032105557,1,1,29.183561009943897,,
+c1cnn2ccnc2c1,AP,1,1,1,1,0.511375604737478,1,1,40.334406154000206,986.0,1.0
+[H]/N=C(\OC)c1nc2ccc3ncncc3c2s1,AP,1,0,0,1,0.5259149806335668,0,1,19.59950606618548,,
+Fc1cccc(Nc2ncccn2)c1,AP,1,1,1,1,0.7875352418078897,0,1,73.05463394691347,,
+c1ccc2[nH]ccc2c1,AP,1,1,1,1,0.5439155908694729,1,1,40.29012989269332,1198.0,1.0
+Clc1ccc2cc[nH]c2c1Cl,AP,1,1,0,1,0.6476870610154922,0,1,37.97002756316357,,
+CNc1nc(NC)c2cc[nH]c2n1,AP,1,1,0,1,0.6409223605685803,0,1,40.04995612838665,,
+Cc1[nH]nc2ccccc12,AP,1,1,1,1,0.5820392325335272,1,1,42.180746716249125,388.0,1.0
+c1cc2c(cn1)ncc1nc[nH]c12,AP,1,1,1,1,0.5559249024997563,0,1,23.13107277453493,,
+CNc1ncnc2[nH]cnc12,AP,1,1,0,1,0.6152962731383175,1,1,37.14352418386886,,
+Nc1nc2ccccc2[nH]1,AP,1,1,1,1,0.5658999712435825,1,1,30.70966403790523,360.0,1.0
+CC1=CN[C@H](NC=O)S1,AP,1,0,1,1,0.5444029714948805,0,0,-31.28302849689976,,
+CC(=O)Nc1ccc(Cl)cn1,AP,1,1,1,1,0.697177253310889,0,1,50.72876487794824,,
+Nc1ccc(Br)cn1,AP,1,1,1,1,0.6438224852215956,0,1,35.90617593198391,,
+COc1cc2nc[nH]c(=O)c2cc1OC,AP,1,1,0,1,0.7937534543826459,0,1,58.52403062501766,,
+CC(=O)Nc1ncc(C)s1,AP,1,1,1,1,0.6675729203055831,0,1,45.49048656659096,,
+CC(C)c1cc(Nc2ncncc2C(N)=O)ccn1,AP,1,1,0,1,0.8711147126178082,0,1,63.449482692718,,
+CC(C)(C#N)c1cccc(Nc2ncncc2C(N)=O)c1,AP,1,1,0,1,0.8926519319015169,0,1,79.52318993504383,,
+NC(=O)c1cncnc1Nc1cccc(C(F)(F)F)c1,AP,1,1,0,1,0.904968568051254,0,1,97.98911015632147,,
+Cc1[nH]c(C)c(C(N)=O)c1C,AP,1,1,1,1,0.6202003064292458,1,1,29.048112425912706,0.0,0.0
+O=C1Nc2ccccc2/C1=C1/Nc2ccccc2/C1=N\O,AP,1,0,0,0,0.3935462415947194,0,1,2.924269680022339,,
+COC(N)=O,AP,1,1,1,0,0.4298618209855597,1,1,12.424093728974654,,
+CNc1cc(Nc2cc[nH]n2)ncn1,AP,1,1,0,1,0.6721361873504119,0,1,46.0140563066935,,
+c1ccc2c(Nc3cc[nH]n3)ncnc2c1,AP,1,1,0,1,0.6807693492387814,0,1,76.00911563474507,,
+O=C1Cc2cc([SH](=O)=O)ccc2N1,AP,1,0,0,1,0.629867607422446,1,0,-29.36148928845496,,
+c1ccc(-c2cnn3cccnc23)nc1,AP,1,1,1,1,0.5955662090680088,0,1,38.25849766556644,,
+c1ccc(-c2cnc3cccnn23)cc1,AP,1,1,1,1,0.5964591305372113,0,1,44.709655200731625,,
+O=c1c2cccc3cccc(c32)c2nc3ccccc3n12,AP,1,1,0,0,0.430721686152204,0,1,21.43428337249228,,
+c1cnc2occc2c1,AP,1,1,1,1,0.5283477685064296,1,1,24.292849614592427,1348.0,1.0
+COc1ccc2cccnc2c1,AP,1,1,1,1,0.6362244803453474,1,1,63.72153642279395,676.0,1.0
+NC(=O)c1ccc(Nc2nsnc(N)c2=O)cc1,AP,1,1,0,1,0.7322805757208465,0,1,58.17560110356984,,
+Nc1ccc(O)c2c1C(=O)c1ccccc1C2=O,AP,0,0,0,0,0.4623230565269531,0,1,25.262731182768118,,
+N/C=C\C=O,AP,1,0,1,0,0.3391518104041194,0,0,-26.748981655411896,,
+O=C1c2ccccc2S(=O)(=O)c2ccccc21,AP,1,1,1,1,0.6079192709799832,0,1,25.236378141784453,,
+Cc1cc(C)c(C)[nH]1,AP,1,1,1,1,0.5237077195676505,1,1,25.299896245674983,2.0,1.0
+CC[C@H]1Nc2nc(N)ncc2N(C)C1=O,AP,1,1,0,1,0.6880711012244716,0,0,-6.770268428928442,,
+Cc1ccc2[nH]c3cc(C)c4c(c3c2c1)C(=O)NC4=O,AP,1,0,0,1,0.6132050605900524,0,1,13.396051799454495,,
+O=S(=O)([O-])c1cccc2ccccc12,AP,1,0,1,1,0.6691114616025358,0,1,61.87617411155978,,
+O=c1c(O)coc2cc(O)cc(O)c12,AP,1,1,0,1,0.5793678982921999,0,1,26.761739788953893,,
+O=c1ccoc2cc(O)ccc12,AP,1,1,1,1,0.6381292477972546,1,1,30.35022616058582,32.0,1.0
+Cc1cc(O)cc(O)c1,AP,1,1,1,1,0.5485235528461613,1,1,13.927474787690832,2.0,1.0
+O=c1[nH]ccc2c3[nH]cnc3c3ccc(F)cc3c12,AP,1,0,0,0,0.473183370366688,0,1,21.436736576116083,,
+Clc1ccccc1,AP,1,1,1,0,0.4833833263681997,1,1,28.62182911813474,,
+CCN1C(=O)c2ccccc2N(C)c2nc(N)ncc21,AP,1,1,0,1,0.8540786996954136,0,1,23.68066864090051,,
+CN1c2ccccc2C(=O)N(CC(F)(F)F)c2cnc(N)nc21,AP,1,1,0,1,0.871709983534234,0,1,25.770205033853298,,
+N#Cc1ccnc(N)c1,AP,1,1,0,1,0.5415838765407543,1,1,27.34676309591308,,
+Nc1nccnc1OC(F)F,AP,1,1,0,1,0.6916062217031348,0,1,23.377858413503485,,
+Sc1ncnc2ccsc12,AP,1,0,1,0,0.4805320005847252,0,1,16.274154427006174,,
+Nc1cc(=O)[nH]c2cccc(F)c12,AP,1,1,1,1,0.6373596174912801,0,1,19.16501189434229,,
+O=CNc1cc(C=O)ccc1Cl,AP,1,0,1,1,0.7257372882597749,1,1,15.19386683621764,,
+COc1ncc2cc(C(N)=O)c(=O)[nH]c2n1,AP,1,1,0,1,0.7032282448541967,0,1,26.38619698118735,,
+Clc1cccc2c1[nH]c1c3ccccc3ncc21,AP,1,1,0,0,0.4896219146285638,0,1,32.57676646403178,,
+Brc1cccc2c1[nH]c1c3cc(I)ccc3ncc21,AP,1,0,0,0,0.3856660231018692,0,1,50.92856435293646,,
+COc1ccc2c(c1)[nH]c1c(Cl)nccc12,AP,1,0,0,1,0.6534721381343886,0,1,38.22625373929409,,
+Oc1ccc2scnc2c1,AP,1,1,1,1,0.6243115793086027,1,1,21.748967642470586,132.0,1.0
+COc1ccc2scnc2c1,AP,1,1,1,1,0.6464980790240891,1,1,47.07998808560331,486.0,1.0
+Nc1nc2cc(F)ccc2s1,AP,1,1,1,1,0.6531640436517764,1,1,45.5264796575088,236.0,1.0
+O=CNc1nc2cccnc2s1,AP,1,0,1,1,0.7059025568168851,1,1,23.53090989256881,,
+CN1C(=O)[C@H]2CCC[C@H]2Nc2nc(N)ncc21,AP,1,1,0,1,0.6857530601978195,0,0,-25.69133705237512,,
+O=c1ccc2cnc3ccccc3c2[nH]1,AP,1,0,1,1,0.5593129802818303,0,1,31.70363083605886,,
+Nc1csc(Nc2ccccc2)n1,AP,1,1,1,1,0.7662685188653234,0,1,56.03606777858777,,
+O=c1[nH]cnc2ccc3ncsc3c12,AP,1,1,1,1,0.6024329337443298,0,1,23.866303272779803,,
+CN(c1ncccn1)C1CC1,AP,1,1,1,1,0.629590507407924,0,1,35.705863062376935,,
+CN(C)c1ncccn1,AP,1,1,1,1,0.5455045236550637,1,1,29.57767030306427,494.0,1.0
+CNc1ncccn1,AP,1,1,1,1,0.5708700999474509,1,1,27.03854504190275,300.0,1.0
+CN(c1ccccc1)c1ncccn1,AP,1,1,1,1,0.7181076700707854,0,1,48.09267435742567,,
+F[C@H]1CCN(c2ncccn2)C1,AP,1,1,1,1,0.625049462936144,0,1,6.964333180974927,,
+COc1ccc2c(c1)[nH]c1c(C)nccc12,AP,1,1,0,1,0.6728642510267778,0,1,35.07709031761842,,
+COc1ccccc1,AP,1,1,1,1,0.5316253154127668,1,1,34.591252979338954,1004.0,1.0
+O=c1[nH]cnc2n[nH]cc12,AP,1,1,0,1,0.5192368565638923,1,1,25.671864248063773,,
+Cc1ccc(C)o1,AP,1,1,1,0,0.4804036489034677,1,1,19.15794201152692,,
+Cn1cccn1,AP,1,1,1,0,0.4432156698587248,1,1,18.643863083632382,,
+Cc1nc(N)c2c(C#N)c[nH]c2n1,AP,1,1,0,1,0.6135758655224071,0,1,16.742003455230723,,
+Cc1nc(O)c2cc[nH]c2n1,AP,1,1,0,1,0.5863158722467245,0,1,29.60465550298512,,
+Cc1nc(N)c2cc[nH]c2n1,AP,1,1,0,1,0.5815390959335606,0,1,34.87398683983793,,
+COc1ccccc1Cl,AP,1,1,1,1,0.5850627747795067,1,1,43.98448272681154,1600.0,1.0
+c1ccc2occc2c1,AP,1,1,1,1,0.5174240042877334,1,1,35.92915737954941,1352.0,1.0
+Cn1cnc2ccccc21,AP,1,1,1,1,0.5317046613722227,1,1,43.9220760764835,942.0,1.0
+Cc1cc2ccccc2o1,AP,1,1,1,1,0.5367972534391235,0,1,42.079822594736605,,
+CCCCc1nc2cccnc2[nH]1,AP,1,1,1,1,0.777236017845127,0,1,56.872507045783934,,
+CCn1c(C)nc2cccnc21,AP,1,1,1,1,0.6376619794416536,0,1,49.47856416678988,,
+CCCn1c(C)nc2cccnc21,AP,1,1,1,1,0.6997861715217847,0,1,53.39294662181189,,
+Cc1oc2ccccc2c1C,AP,1,1,0,1,0.5563746217654227,0,1,41.27862213488035,,
+CCOc1cc(C)ccc1O,AP,1,1,1,1,0.7027648431430075,0,1,46.7005905718541,,
+C#Cc1cc(C)ccc1OC,AP,1,0,1,1,0.5503666784901516,0,1,33.45837820710592,,
+O=C1Nc2c(Br)cccc2/C1=C1/Nc2ccccc2/C1=N\O,AP,1,0,0,0,0.3847762393953657,0,1,1.912606634232301,,
+COc1cc(/C=C\C(O)=C\C(C)=O)ccc1O,AP,1,0,0,0,0.4767748429001888,0,1,42.23118870271495,,
+CC(=O)c1cc(O)ccc1O,AP,1,0,1,0,0.4706994269669802,1,1,37.0114497433582,,
+COc1cc(/C=C/C(=O)CC(C)=O)ccc1O,AP,1,0,0,1,0.6245016157875595,0,1,67.67031904593044,,
+COc1ccc2nc3ccc(OC)cc3cc2c1,AP,1,0,0,1,0.6421045825477028,0,1,45.59163185604294,,
+CO[C@@H]1C[C@H](CO)[C@@H]2[NH2+][C@@H]3CC[C@@H](OC)C[C@@H]3C[C@H]2C1,AP,1,1,1,1,0.7951689191323338,0,0,-29.942723241497657,,
+COc1ccc2nc3sc(SC)nc3cc2c1,AP,1,1,0,1,0.6612440301206003,0,1,52.97100980719215,,
+COC1=Cc2cc3cc(OC)ccc3nc2CC1,AP,1,1,0,1,0.8088358828521482,0,1,8.073388416294833,,
+COc1ccc2nc3c(CO)cc(OC)cc3cc2c1,AP,1,0,0,1,0.742741572636863,0,1,48.915520228864494,,
+Nc1ncnc2ccc(O)cc12,AP,1,1,0,1,0.6021584656082188,1,1,22.57435911948781,,
+COc1cc2ncnc(N)c2cc1O,AP,1,1,0,1,0.7001948102877024,1,1,24.28013783672435,,
+Nc1ncnc(N)c1/C=N/N1CCCCC1,AP,1,0,0,1,0.7061315859333452,0,1,27.296101541827376,,
+COCCO/N=C/c1c(N)ncnc1N,AP,1,0,0,0,0.3907616102788847,0,1,26.72698638740936,,
+Nc1nccc(-c2cnc3sccn23)n1,AP,1,1,0,1,0.6691744228261979,0,1,36.80065921382246,,
+Nc1ncnc2cc[nH]c12,AP,1,1,0,1,0.5521636672820287,1,1,19.19727733426521,,
+COc1ccc2c(N)ncnc2c1,AP,1,1,0,1,0.7074490127268824,1,1,44.78203087954279,,
+Nc1ncnc2c1C=C(C=O)CCN2,AP,1,0,0,1,0.6284775193769454,0,0,-36.18973554441223,,
+COc1cc2ncnc(N)c2cc1N,AP,1,0,0,1,0.6493385179694189,1,1,25.320531064454304,,
+c1cc(Nc2cc3[nH]ccc3cn2)ncn1,AP,1,1,0,1,0.6807693492387814,0,1,54.46436694029578,,
+Nc1cc2nc[nH]c2cn1,AP,1,1,0,1,0.5521636672820287,0,1,22.433077965845204,,
+c1cc(Nc2cc3[nH]cnc3cn2)ncn1,AP,1,1,0,1,0.6723553652119783,0,1,44.65322257350211,,
+Cc1nc2cnc(Nc3ccncn3)cc2[nH]1,AP,1,1,0,1,0.6961021209218318,0,1,48.48331695627207,,
+NC(=O)c1c(N)cc[nH]c1=O,AP,1,1,0,0,0.4845728189093404,0,1,18.56935581628716,,
+NC(=O)c1ccc[nH]c1=O,AP,1,1,0,1,0.5471119678163343,1,1,35.379829508274355,,
+c1cc(Nc2cc3[nH]ncc3cn2)ncn1,AP,1,1,0,1,0.6723553652119783,0,1,49.1096920610702,,
+Nc1ccn2ncc(C=O)c2n1,AP,1,0,0,1,0.6043872097264326,1,1,12.863395460050976,,
+Nc1ncc2nc(N)[nH]c2n1,AP,1,1,0,0,0.4697309637708927,0,1,16.204655343194702,,
+Nc1nc2cncnc2[nH]1,AP,1,1,0,1,0.5296759293780585,1,1,15.123903767047503,,
+Nc1ncc(Cl)c(O)n1,AP,1,1,0,1,0.5550594151831963,1,1,12.732659116951607,,
+Nc1ncc2c(n1)N(C1CCCCC1)C(=O)NC2,AP,1,1,0,1,0.7856984290318001,0,0,-1.4041934664332891,,
+Oc1ncnc2[nH]ccc12,AP,1,1,0,1,0.5574861322491763,0,1,22.22890494562535,,
+NC(=O)c1cccc(F)c1,AP,1,1,1,1,0.6173491474809841,1,1,45.75262162514513,2030.0,1.0
+NC(=O)c1ccncc1,AP,1,1,1,1,0.5772627921564858,1,1,36.49703473834492,1346.0,1.0
+CSC1=NCC(c2ccnc(N)c2)=N1,AP,1,1,0,1,0.7501923959162369,0,0,-0.7769111600116136,,
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+Nc1ncc(Cl)cn1,AP,1,1,1,1,0.561506980733552,1,1,23.34508788967802,832.0,1.0
+Nc1ncc(C=O)cn1,AP,1,0,0,1,0.5279733244447306,1,1,17.794347902251907,,
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+Oc1cccnc1,AP,1,1,1,1,0.5163288713332986,1,1,23.733310810490952,1198.0,1.0
+Nc1nc2cccnc2[nH]1,AP,1,1,0,1,0.5521636672820287,0,1,28.87547372301497,,
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+Cn1c(=O)[nH]c(=O)c2c1nc1[nH]ccn12,AP,1,1,0,1,0.5033927489403338,0,1,31.3106263830194,,
+O=C[C@H]1CN/C(=N/c2ccccc2)S1,AP,1,0,1,1,0.7468395492659137,0,0,-0.5118690196602464,,
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+Cc1cc(C(N)=O)c(N)s1,AP,1,1,0,1,0.6291720029803116,1,1,22.76863237996861,,
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+C=C1C=c2c(N)ncnc2=CC1,AP,1,1,1,1,0.5590480809457845,0,0,-46.487045221684745,,
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+C=CCn1nc(N)c2ccnnc21,AP,1,0,0,1,0.6781586341578342,0,1,15.384248038904907,,
+Cc1cnc(N)nc1,AP,1,1,1,1,0.5231996621282303,1,1,22.37665995608593,1238.0,1.0
+N#Cc1scc2c1CCc1cnc(N)nc1-2,AP,1,1,0,1,0.7450179371128558,0,1,14.410083172343937,,
+Cc1cncnc1,AP,1,1,1,0,0.4745494696119243,1,1,22.59627110396408,,
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+c1[nH]nc2c1CNCC2,AP,1,1,1,1,0.5116758320036295,1,0,-8.182370742549331,,
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+CN1C(=O)c2ccccc2Nc2nc(N)ncc21,AP,1,1,0,1,0.7277656875827292,0,1,5.989096642756053,,
+O=Cc1ccc(Nc2ncc(F)cn2)cc1,AP,1,0,0,1,0.8003174413609545,0,1,49.79265863607922,,
+O=C(Nc1cccnc1)c1ccc[nH]1,AP,1,1,1,1,0.7507385428386607,0,1,75.69211328941715,,
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+FC(F)F,AP,1,1,1,0,0.401096477329913,1,1,8.32880524914489,,
+N#Cc1cnc(N)c(C(N)=O)c1,AP,1,1,0,1,0.5872558901802692,0,1,30.66570567180131,,
+C[C@@H]1C(=O)Nc2ccccc21,AP,1,1,1,1,0.5946462096818689,1,0,-2.21282709525601,,
+Nc1ncc2cccnc2n1,AP,1,1,0,1,0.5908907457799355,1,1,32.530644859479,,
+Cc1c[nH]c2ncccc12,AP,1,1,1,1,0.5820392325335273,1,1,33.35521341302677,12.0,1.0
+O=C([O-])c1cccnc1,AP,1,1,1,1,0.5015757599713943,1,1,43.770548754428575,2.0,1.0
+CCc1cc(N)n[nH]1,AP,1,1,1,1,0.5557982749646423,1,1,19.34190796464228,0.0,0.0
+CCc1cc(N)[nH]n1,AP,1,1,1,1,0.5557982749646423,1,1,19.37702004910079,0.0,0.0
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+O=CNc1[nH]nc2ccccc12,AP,1,0,1,1,0.6484659759237619,1,1,22.339279826730422,,
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+O[C@@H]1CC[C@]2(CNc3nccc(Cl)c32)C1,AP,1,1,1,1,0.7081598729137599,0,0,-30.59861040420056,,
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+OC1CCCCC1,AP,1,1,1,0,0.4863248839438126,1,1,13.246532692241212,,
+C[C@@]12Cc3[nH]nc(C=O)c3C[C@@H]1C2(F)F,AP,1,0,1,1,0.7183593166919551,0,0,-31.75745266592305,,
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+O=c1[nH]ccc2cncnc12,AP,1,1,1,1,0.5832965043309577,0,1,22.212823705986157,,
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+NC(=O)c1c[nH]nc1N,AP,1,1,0,0,0.4539721011557528,1,1,24.576558587163333,,
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+Cc1cnc(N)nc1N,AP,1,1,0,1,0.5079139754358782,1,1,23.24670456407673,,
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+Cc1[nH]nc2[nH]c(=O)ccc12,AP,1,1,0,1,0.5744982219597285,0,1,16.78628547411511,,
+Nc1cc2ncccn2n1,AP,1,1,1,1,0.5638030951061849,1,1,33.19688593221484,86.0,1.0
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+Nc1nc(N)n(-c2ccncn2)n1,AP,1,1,0,1,0.5911258561967591,0,1,25.832908798633586,,
+C=C(Cl)/C=C/C(=C)c1ncc(F)cn1,AP,1,0,1,1,0.7172839559053517,0,0,-24.46991840356676,,
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+c1cc2[nH]cnc2cn1,AP,1,1,1,1,0.5607362152362961,1,1,25.45966128429851,32.0,1.0
+NC(=O)c1cnc2[nH]ccc2c1N,AP,1,1,0,1,0.5801743212186156,0,1,36.35316881367161,,
+Nc1ncc2c(n1)NCC2,AP,1,1,0,1,0.5276906304665528,0,0,-7.664334081239318,,
+c1cn2nccc2cn1,AP,1,1,1,1,0.511375604737478,0,1,31.1812026768598,,
+COc1cccc2cnc(N)nc12,AP,1,1,0,1,0.7074490127268823,0,1,40.53693396984063,,
+Nc1ncc2cccc(N)c2n1,AP,1,0,0,1,0.5584287904214754,0,1,24.127302834671102,,
+Nc1nc(C2=CN=[N+2](C3CNC3)=C2)c2ccnc-2[nH]1,AP,1,1,0,1,0.7077199875470642,0,0,-10.859371637601532,,
+Nc1ccnc2c1C(=O)N=C2,AP,1,1,0,1,0.5709426066044511,0,0,-23.6752984824994,,
+C[C@H]1C(=O)N(C)c2cncnc2N1C,AP,1,1,0,1,0.5920242482944773,0,0,-1.6230511449578204,,
+c1ccn2ncnc2c1,AP,1,1,1,1,0.511375604737478,1,1,41.868666818475184,1288.0,1.0
+Oc1ncnc2nc[nH]c12,AP,1,1,0,1,0.5365398515296618,1,1,22.500141838594256,,
+C[C@@H]1Nc2ncncc2N(C)C1=O,AP,1,1,0,1,0.6184675515186455,0,0,-15.055152528479397,,
+CN1C(=O)c2sccc2N(C)c2ncncc21,AP,1,1,0,1,0.7120098151540293,0,1,6.878296275442031,,
+Oc1ncnc2[nH]cnc12,AP,1,1,0,1,0.5365398515296617,1,1,19.22595588331712,,
+CN1C(=O)C(C)(C)Nc2ncncc21,AP,1,1,0,1,0.6551120216927317,0,0,-2.819615067450437,,
+Nc1ncnn1C=O,AP,1,0,0,0,0.4677068648146688,0,0,-6.041841357857344,,
+NC(=O)n1ncnc1N,AP,1,1,0,0,0.4561197411215333,0,1,10.901812156860746,,
+NC(=O)n1nc(N)nc1N,AP,1,1,0,0,0.4005029048232399,0,1,16.531058840827342,,
+O=C1NC(=O)C(c2c[nH]c3ccccc23)=C1c1ccncn1,AP,1,0,0,1,0.7004893563126445,0,1,36.44619535200115,,
+O=Cc1c[nH]c2nccnc12,AP,1,0,1,1,0.6058571277711334,1,1,18.886289776651388,,
+NC(=O)c1cnn2cccc2c1N,AP,1,1,0,1,0.6414954377893402,0,1,39.0252067587364,,
+NC(=O)c1cnc(N)cc1N,AP,1,1,0,1,0.4961750380137257,1,1,27.464200981603096,,
+N#Cc1ccc2nccn2c1,AP,1,1,1,1,0.5557042508938959,0,1,48.25960723979581,,
+CC(=O)Nc1cc(N)c(C#N)cn1,AP,1,1,0,1,0.651010339249095,0,1,34.08316919662644,,
+N#Cc1ccc(C(N)=O)nc1,AP,1,1,0,1,0.6090868195678604,1,1,42.43269617315912,,
+NC(=O)Nc1ccsc1C(N)=O,AP,1,1,0,1,0.6185869036973267,0,1,46.69073131842936,,
+O=c1c(O)coc2cc(O)c(O)c(O)c12,AP,0,0,0,0,0.4739855057121059,0,1,17.79056976797796,,
+O=c1cc[nH]c2ncccc12,AP,1,1,1,1,0.6003509616659684,0,1,38.4739746086882,,
+O=c1cc[nH]c2cc(F)ccc12,AP,1,1,1,1,0.6291007084068679,0,1,38.47297791117984,,
+Nc1nc2ccc(C=O)cc2n2ccnc12,AP,1,0,0,1,0.6164181468731331,1,1,24.140014108740164,,
+c1ccc2c(-c3ccncc3)[nH]nc2c1,AP,1,1,1,1,0.6480917393206026,0,1,46.15423288985528,,
+c1ccc(-c2n[nH]c3ccccc23)cc1,AP,1,1,0,1,0.6326173123272912,0,1,41.19481750518172,,
+c1cnc2ccc3ccncc3c2c1,AP,1,0,1,1,0.4969799703454515,0,1,41.79816925408619,,
+N#Cc1c(N)sc2c1CCNC2,AP,1,1,0,1,0.6202725706736701,1,1,4.327681071563111,,
+N#Cc1c(N)sc2c1CCCC2,AP,1,1,1,1,0.6608756643915483,1,1,36.73731553282585,260.0,1.0
+c1cc(-c2cc[nH]n2)c[nH]1,AP,1,1,1,1,0.6064413143460023,0,1,27.73986507835581,,
+O=c1[nH]ccc2cc(Cl)ccc12,AP,1,1,1,1,0.6608478832484261,1,1,33.54359296395698,76.0,1.0
+O=c1[nH]ccc2cc(Br)ccc12,AP,1,1,1,1,0.7310607673921075,0,1,39.95803428831915,,
+c1ccn2ccnc2c1,AP,1,1,1,1,0.5098151396252019,1,1,45.08346027343898,940.0,1.0
+CN1C(=O)/C(=N/O)c2cc(F)ccc21,AP,1,0,1,1,0.4940653113180888,0,1,23.524309337623645,,
+Cc1cccc2c1/C(=N/O)C(=O)N2C,AP,1,0,1,1,0.4925127402484881,0,1,10.079475679197062,,
+CN1C(=O)/C(=N\O)c2ccccc21,AP,1,0,1,0,0.470115715716481,0,1,29.68983449060841,,
+Cc1csc(N)c1,AP,1,1,1,1,0.5434730936195056,1,1,11.422915882432603,0.0,0.0
+N#Cc1csc(N)c1,AP,1,1,1,1,0.5646005976337982,0,1,15.832680010138816,,
+O=CNc1cnn(-c2ccsc2)c1,AP,1,0,1,1,0.7507693811223869,0,1,26.743140014203696,,
+Cc1ccc2cnn(-c3ccsc3)c2n1,AP,1,1,1,1,0.6245982872608594,0,1,34.56160450247476,,
+Cn1c(=O)[nH]c(=O)c2[nH]c(=S)[nH]c21,AP,1,0,0,1,0.503846792623544,0,1,12.216304803200648,,
+CCCNc1ccccn1,AP,1,1,1,1,0.6861030503904432,1,1,48.96844637872538,278.0,1.0
+Nc1ncncn1,AP,1,1,0,0,0.4704631934702971,1,1,8.511600015196265,,
+COc1cc2nccc(O)c2cc1OC,AP,1,1,0,1,0.8137420678962776,1,1,38.93670410070267,,
+COc1ccc2c(O)ccnc2c1,AP,1,1,1,1,0.7198219434590417,1,1,40.05714861852347,0.0,0.0
+O=CNc1cnc2[nH]ccc2c1,AP,1,0,1,1,0.6484659759237619,0,1,32.70178097460261,,
+Nc1ncnc2[nH][nH+]cc12,AP,1,1,0,1,0.5047395663377142,0,1,17.448071559504108,,
+Nc1ccnc2occc12,AP,1,1,1,1,0.5922099720914725,0,1,15.532519165530749,,
+c1cn2cncc2cn1,AP,1,1,1,1,0.511375604737478,1,1,37.17234701199446,0.0,0.0
+c1ccc2c(c1)ncc1cncn12,AP,1,1,1,1,0.5140104117712739,0,1,40.72265790798527,,
+Cc1ccn2nc(N)c(C(N)=O)c2n1,AP,1,1,0,1,0.6469408549406493,0,1,33.934017239047186,,
+CCc1ccn2ncc(C(N)=O)c2n1,AP,1,1,0,1,0.7440161323348348,0,1,43.84752433938077,,
+NC(=O)c1c(N)ncn2ncnc12,AP,1,1,0,1,0.5694313993884819,0,1,29.434304236803808,,
+NC(=O)c1c(N)nn2cccnc12,AP,1,1,0,1,0.6076265513408879,0,1,39.99810416929984,,
+c1cc2nccn2cn1,AP,1,1,1,1,0.511375604737478,0,1,36.9544973976977,,
+O=Cc1ccc(Cl)cc1,AP,1,0,1,1,0.5466495888095015,1,1,28.69582478563496,,
+Cc1ccn2ncc(C(N)=O)c2n1,AP,1,1,0,1,0.6710390832770573,1,1,47.67840609778362,,
+COc1nc(N)ncc1C=O,AP,1,0,0,1,0.5990284063792224,1,1,13.64607057820002,,
+Nc1ncc2c(=O)[nH]c3nc4ccccc4n3c2n1,AP,1,1,0,0,0.4793399096286216,0,1,36.2411527001229,,
+O=C1NN=Cc2c[nH]c3cccc1c23,AP,1,1,1,1,0.6370950068779295,0,0,-39.65602958746194,,
+CC(C)C(=O)Nc1ncc(-c2ccn[nH]2)s1,AP,1,1,0,1,0.8571702878068768,0,1,57.87590749040103,,
+Cc1cc(C)c(/C=C2\C(=O)Nc3ccc([SH](=O)=O)cc32)[nH]1,AP,1,0,0,1,0.586916121118565,0,0,-19.111897763188978,,
+COc1ccccc1C1=C(N)C(=O)NC1=O,AP,1,0,0,1,0.6855832094050223,0,1,11.8044498154382,,
+O=c1[nH]ccc2ccc(Cl)cc12,AP,1,1,1,1,0.6608478832484261,0,1,34.43437040053819,,
+CCNC(=O)C#Cc1ccc2c(c1)NC(=O)/C2=C(\N)c1ccccc1,AP,1,0,0,1,0.5808197355839485,0,1,32.19794177882042,,
+Fc1ccc2c(c1)ncc1nc[nH]c12,AP,1,1,1,1,0.5860290443153723,0,1,31.09124459112344,,
+Cc1n[nH]c2cccc(O)c12,AP,1,1,1,1,0.5954400957003955,0,1,20.608782702529755,,
+N#Cc1c[nH]c2c(C(N)=O)cccc12,AP,1,1,0,1,0.6977890276387203,1,1,32.86058834278822,,
+c1c[nH]c2nccc-2c1,AP,1,1,1,1,0.5577469355652159,1,1,31.101604651720496,0.0,0.0
+Cc1cc2cccnc2[nH]1,AP,1,1,1,1,0.5820392325335273,1,1,37.09850457103153,0.0,0.0
+O=C1c2ccccc2CN1c1ccccn1,AP,1,1,1,1,0.7228082495596216,0,1,10.304894845747071,,
+NC(=O)c1ccoc1,AP,1,1,1,1,0.5690629874470592,1,1,31.356144308341094,0.0,0.0
+NC(=O)c1cscn1,AP,1,1,1,1,0.5886866200086456,1,1,25.797585096785465,0.0,0.0
+O=CNc1ccccc1,AP,1,0,1,1,0.5860752448837414,1,1,21.504630601388737,,
+O=C(Nc1ccccn1)[C@H]1CCCCO1,AP,1,1,1,1,0.7990042460133705,0,1,62.60003834981995,,
+c1ccc(-c2cnc3ccccc3c2)nc1,AP,1,1,0,1,0.6101536066340421,0,1,56.7978370097329,,
+Fc1ccccc1-c1ccccn1,AP,1,1,1,1,0.6457234088217383,0,1,41.72344984677719,,
+Cc1cnc2ccnn2c1Nc1ccccc1,AP,1,1,1,1,0.7274055269961206,0,1,57.77372399385917,,
+CNC(=O)c1cc2ccc(-c3ccccc3O)cc2s1,AP,1,1,0,1,0.7541684510959002,0,1,44.4245592068789,,
+Nc1ccn(-c2ccccc2)n1,AP,1,1,1,1,0.6840470334583565,1,1,40.78416068955776,0.0,0.0
+c1cnc(-c2ccc3c(c2)OCO3)nc1,AP,1,1,0,1,0.7044715685278581,0,1,56.23247491198411,,
+c1cc2ncc3c(n2n1)NCC3,AP,1,1,1,1,0.6163888513476422,0,1,8.870612932761166,,
+CCN1C(=O)C(C)(C)c2cnc(N)nc21,AP,1,1,0,1,0.7338508009031561,0,1,12.64429911730252,,
+CC1(C)C(=O)N([C@H]2C=Cc3c(O)cccc32)c2nc(N)ncc21,AP,1,1,0,1,0.8418833787321384,0,0,-31.273671653427133,,
+O=CNc1[nH]nc2c1CNC21CC1,AP,1,0,0,1,0.561159311241661,0,0,-26.389250751449943,,
+Nc1[nH]nc2c1-c1[nH]ncc1CC2,AP,1,1,0,1,0.5441887377802183,0,1,11.01556472741383,,
+O=C(Nc1ccccc1)c1ccccc1O,AP,1,1,1,1,0.8052241874500292,1,1,86.72379437649379,0.0,0.0
+COc1ccccc1C(N)=O,AP,1,1,1,1,0.6790575842877806,1,1,52.52750096104229,0.0,0.0
+NC(=O)c1ccc(Br)cc1,AP,1,1,1,1,0.7335677023431018,1,1,47.43270407772773,0.0,0.0
+NC(=O)c1ccc(F)cc1,AP,1,1,1,1,0.617349147480984,1,1,40.5071137931536,0.0,0.0
+c1ccc(-n2cccn2)cc1,AP,1,1,1,1,0.5970666437894959,1,1,50.51649797573513,0.0,0.0
+CN1Cc2cnc3cccnc3c2N(C2CCCCC2)C1=O,AP,1,1,0,1,0.8106995723040064,0,1,22.124364069735133,,
+O=C1NCc2cnc3ccccc3c2N1C1CCCCC1,AP,1,1,0,1,0.8677509527460489,0,1,17.76317645553022,,
+CC1(C)C(=O)N([C@H]2CCc3c(O)cccc32)c2nc(N)ncc21,AP,1,1,0,1,0.8409814687252826,0,0,-4.67779394805253,,
+CC(C)n1cnc2cncnc21,AP,1,1,1,1,0.6363187506013845,1,1,25.776940279280524,0.0,0.0
+CCCCNc1ncc2cn[nH]c2n1,AP,1,0,0,1,0.7196512867385867,0,1,37.25767959372038,,
+CCCCNc1nccc(N)n1,AP,1,0,0,1,0.661038316347867,1,1,47.65425262989739,,
+O=C1CCCCNc2ncc3ccn(c3n2)CCCN1,AP,1,1,0,1,0.7633710723002689,0,0,-48.529096352718845,,
+NC(=O)c1ncc[nH]1,AP,1,1,0,1,0.5128254311845627,1,1,19.17207317524455,,
+CCc1cnc(N)c(C(N)=O)n1,AP,1,1,0,1,0.6312218213097075,0,1,27.91277014294323,,
+CCCCNc1ncc2cc[nH]c2n1,AP,1,0,0,1,0.7263267337566623,0,1,54.466815071497685,,
+Nc1ccnc(Nc2cc(F)c(O)c(F)c2)n1,AP,1,0,0,1,0.6943937029617465,0,1,42.25636496062416,,
+CNc1nc(O)nc2c1ncn2C,AP,1,1,0,1,0.6494291764381768,0,1,11.275335805144865,,
+Cc1ccc2nccn2c1,AP,1,1,1,1,0.5323234365454219,1,1,51.85751010057965,0.0,0.0
+NC(=O)c1c[nH]c2ncc(Cl)cc12,AP,1,1,0,1,0.7204322644810516,0,1,36.525890117356326,,
+NC(=O)Nc1ccsc1C=O,AP,1,0,0,1,0.6509597398610257,0,1,22.81838094935208,,
+Clc1ccc2c(-c3cn[nH]c3)n[nH]c2c1,AP,1,1,1,1,0.6597424468058993,0,1,38.07544423273954,,
+CNS(=O)(=O)c1ccc2c(c1)CC(=O)N2,AP,1,1,0,1,0.7500463212537136,1,1,45.88964919406906,,
+CS(=O)(=O)c1ccc2c(c1)CC(=O)N2,AP,1,1,0,1,0.7388541960821317,0,1,37.57079001680377,,
+Cc1cnc2ccccc2c1,AP,1,1,1,1,0.5519055037199659,1,1,53.44240044072394,0.0,0.0
+Sc1ccc2ncccc2c1,AP,1,0,1,1,0.5857003735891695,1,1,18.65476228104047,,
+FC(F)(F)c1ccc2nccnc2c1,AP,1,1,1,1,0.6498418456997441,0,1,51.227884397081205,,
+COc1cnc2c(N)ccnc2c1,AP,1,1,0,1,0.7074490127268824,0,1,26.92168797494211,,
+O=c1c2ccccc2ccc2ncccc12,AP,1,1,1,1,0.5669906213972664,0,1,46.396112474766966,,
+CCc1ccc2ncccc2c1,AP,1,1,1,1,0.6199049022830793,1,1,64.7419975113864,0.0,0.0
+Nc1cc(C(F)(F)F)cc2ncccc12,AP,1,0,1,1,0.6817208544650085,0,1,41.353865022553016,,
+FC(F)(F)c1ncc2cccnc2n1,AP,1,1,1,1,0.651217295402963,0,1,38.39342293153224,,
+Nc1ncc2ccoc2c1O,AP,1,1,0,1,0.5897084704966266,0,1,14.888611974362789,,
+c1ccc(-c2ncccn2)cc1,AP,1,1,1,1,0.6317729528591786,0,1,46.91309695081389,,
+O=C(O)Nc1ccccc1,AP,1,1,1,1,0.6193250852042754,1,1,26.440530934704903,0.0,0.0
+COc1cnc2ccccc2c1,AP,1,1,1,1,0.6362244803453474,1,1,57.51262676234636,0.0,0.0
+CCn1ccc2ncccc2c1=O,AP,1,1,1,1,0.6548823080261188,0,1,57.33016407543649,,
+Cn1ccc2c(=O)[nH]ccc21,AP,1,1,1,1,0.5909620342517304,0,1,28.2579402102604,,
+Nc1nccnc1C(=O)O,AP,1,1,0,1,0.5598838866687289,1,1,18.182841406889327,,
+Oc1ccncc1,AP,1,1,1,1,0.5163288713332986,1,1,18.896738992158387,0.0,0.0
+NC(=O)c1ccsc1N,AP,1,1,0,1,0.5965705742077709,1,1,24.440683183625254,,
+Nc1c[nH]nc1-c1ccccn1,AP,1,1,0,1,0.654849412351787,1,1,31.53718663723962,,
+CN1C(=O)c2sccc2N(C)c2nc(N)ncc21,AP,1,1,0,1,0.7770299556135112,0,1,4.367024117159863,,
+COc1cc2c(N)c(C#N)cnc2cc1O,AP,1,1,0,1,0.7496596432208149,1,1,25.718971299230866,,
+Cc1nccc(Nc2nccs2)n1,AP,1,1,0,1,0.7900926386095471,0,1,57.85478760295637,,
+Nc1ncc(C(F)(F)F)c(N)n1,AP,1,1,0,1,0.6112265232501427,1,1,20.79622840967244,,
+Nc1ncnc2cc(O)cc(O)c12,AP,1,1,0,1,0.5482628776098761,0,1,18.52100741721089,,
+Cc1cc(C)c(C[C@H]2C(=O)Nc3ccc(F)cc32)[nH]1,AP,1,1,0,1,0.8540039363158204,0,1,22.2064883489584,,
+CNc1cc2[nH]c(=O)ccc2cn1,AP,1,1,1,1,0.6784201998896594,0,1,30.03905102671061,,
+N#Cc1cnc2ccc(N)cc2c1N,AP,1,0,0,1,0.603192171220504,0,1,35.83112375075842,,
+Nc1ncc2c(=O)[nH][nH]c2n1,AP,1,1,0,0,0.4597512677791772,0,1,9.091079218982168,,
+Cn1ncc2c1-c1nc(N)ncc1CC2(C)C,AP,1,1,0,1,0.7387279676875568,0,0,-1.4580231072745558,,
+Cc1cc2c(C(N)=O)c(N)[nH]c2nc1C,AP,1,1,0,1,0.6421051785522401,0,1,24.555390644983696,,
+Nc1nccnc1-c1ccccc1,AP,1,1,1,1,0.7103828943707656,1,1,33.24466839091776,0.0,0.0
+Nc1nccnc1N1CCCCC1,AP,1,1,0,1,0.6979862058352387,0,1,35.15525468963418,,
+O=[SH](=O)c1cccc(Nc2ncc3[nH]cnc3n2)c1,AP,1,0,0,1,0.6180281136746377,0,1,13.011690184488875,,
+Nc1ncc(O)cn1,AP,1,1,0,0,0.4844747443041592,1,1,12.219630369273307,,
+CCn1c(=O)ccc2cnc(N)nc21,AP,1,1,0,1,0.7056449265670108,1,1,25.510879031412948,,
+CCNc1ncc2ccc(=O)[nH]c2n1,AP,1,1,0,1,0.732649109047015,0,1,29.494953751865012,,
+NCC1=c2c(ccc3ncsc23)=NC1=O,AP,1,1,0,1,0.7041356355180158,0,0,-13.16973692011737,,
+CC1(C)c2[nH]nc(NC=O)c2CN1C=O,AP,1,0,0,1,0.6956226292510118,0,0,-27.0315830300132,,
+CCN,AP,1,1,1,0,0.4062370953898832,1,1,5.092217189432304,,
+Brc1cnc2nc[nH]c2c1,AP,1,1,1,1,0.6995654942478055,1,1,34.153225479096925,0.0,0.0
+O=Cc1ccc2c(c1)/C(=C(\c1ccccc1)c1ncc[nH]1)C(=O)N2,AP,1,0,0,1,0.57577787681894,0,1,26.94163482515218,,
+CC(C)c1n[nH]c2cnccc12,AP,1,1,1,1,0.695290995312368,0,1,29.497898661065157,,
+C[C@H]1C(=O)Nc2ccc(F)cc21,AP,1,1,1,1,0.624398649458776,0,1,4.135483613436458,,
+CCC1=c2cc(O)ccc2=NC1=O,AP,1,1,1,1,0.6583346805779838,0,0,-1.5857561094515915,,
+CC[C@H]1C(=O)Nc2ccccc21,AP,1,1,1,1,0.6712681072480746,1,1,0.7563407047174522,0.0,0.0
+CC1=c2cc(NC(N)=O)ccc2=NC1=O,AP,1,1,0,1,0.6448828166659134,0,1,18.50762331786835,,
+NC(=O)c1n[nH]c2c1CCc1cnc(N)nc1-2,AP,1,1,0,1,0.6171063635935327,0,1,24.56838736921341,,
+COc1ccc2ncc3c(N)nccc3c2c1,AP,1,0,0,1,0.6457248335519116,0,1,39.5502203843938,,
+COc1cc2ncc3c(N)nccc3c2cc1OC,AP,1,0,0,1,0.7117877305656993,0,1,36.62959859304667,,
+O=c1[nH]cc(C#CC2CC2)c2ncc3ccccc3c12,AP,1,0,1,1,0.4987757641815061,0,1,25.76598466152392,,
+O=c1[nH]ccc2ccccc12,AP,1,1,1,1,0.5986881320129136,1,1,37.56946665426815,0.0,0.0
+Cn1ccc2c(N)ncnc21,AP,1,1,1,1,0.5931799319976649,1,1,28.24943048303249,0.0,0.0
+Cc1nc(N)c2ccn(C)c2n1,AP,1,1,1,1,0.6246362253213364,0,1,28.824799943595195,,
+O=c1ccoc2c(-c3ccccc3)cccc12,AP,1,1,0,1,0.6307722261623976,0,1,29.828308745281337,,
+CC(=O)c1ccccc1,AP,1,1,1,1,0.5170467542625543,1,1,38.84580119823231,0.0,0.0
+Oc1ccc(Br)cc1,AP,1,1,1,1,0.6366834808262342,1,1,29.726792005619178,0.0,0.0
+Cc1ccncc1,AP,1,1,1,0,0.4719983679006756,1,1,26.636077101778625,,
+Cc1cccc(-c2cnccn2)c1,AP,1,1,1,1,0.6565711477527443,1,1,55.56661520943784,0.0,0.0
+Clc1ccc(-c2onc3ccccc23)cc1,AP,1,1,0,1,0.6266308985958802,0,1,52.1115431324881,,
+FC(F)(F)c1ccccc1,AP,1,1,1,1,0.5274607455911079,1,1,36.437699073802,34.0,1.0
+c1ccc(-c2c[nH]c3ccccc23)cc1,AP,1,1,0,1,0.6040935790801766,0,1,49.39763884944692,,
+Cc1ccc2sc3c(=O)[nH]cnc3c2c1,AP,1,1,1,1,0.6270117023586184,0,1,36.54365040627674,,
+O=c1[nH]cnc2c1sc1ccc(Cl)cc12,AP,1,1,1,1,0.6524578552204652,0,1,40.03121462833832,,
+Cc1ccc(-c2ccc3ccccc3c2)o1,AP,1,1,0,1,0.5770279698576293,0,1,59.114366474192494,,
+Brc1ccc2occc2c1,AP,1,1,0,1,0.6314608363758356,1,1,50.169534321729465,,
+COc1cc(Br)cc2ccoc12,AP,1,1,0,1,0.7457580467995641,1,1,37.28813812292928,,
+Nc1cncc(-c2ccc3occc3c2)n1,AP,1,1,0,1,0.6710826935364155,0,1,45.11954726203739,,
+c1ccc(-c2n[nH]c3ncccc23)cc1,AP,1,1,1,1,0.6480917393206026,0,1,52.103206889044245,,
+Cc1c[nH]c2ccccc12,AP,1,1,1,1,0.5649684553619617,1,1,37.17466881669269,0.0,0.0
+Oc1ccc(Cl)cc1,AP,1,1,1,1,0.5671077548351335,1,1,25.75352107550546,0.0,0.0
+Oc1cccc2cccnc12,AP,1,1,1,1,0.614103356782718,1,1,40.33376219070917,0.0,0.0
+Cc1cccc(C(F)(F)F)c1,AP,1,1,0,1,0.546827691373411,1,1,47.48608608395407,,
+FC(F)(F)Oc1ccccc1,AP,1,1,1,1,0.6161869793338142,1,1,45.07593339309071,0.0,0.0
+O=c1[nH]cnc2c1oc1ccc(Br)cc12,AP,1,1,1,1,0.6786515085391999,0,1,44.2184390624844,,
+CC(C)(C)C,AP,1,1,1,0,0.4105781835342534,1,1,11.33898174575638,,
+c1ccsc1,AP,1,1,1,0,0.4489266460144336,1,1,9.194709627715325,,
+Fc1ccccn1,AP,1,0,1,0,0.443381981599025,1,1,24.857630129563503,,
+Cc1cccc(OC(C)C)c1,AP,1,1,1,1,0.6295311826395145,1,1,59.35936352151575,0.0,0.0
+Cc1ccc(O)c([N+2](#[O+])[O-])c1,AP,1,0,0,0,0.4575272063368807,0,1,23.227167717852826,,
+CCNc1cccc2c1C(=O)c1c(O)ccc(O)c1C2=O,AP,0,0,0,1,0.6281845152468981,1,1,28.05590837115553,,
+O=c1[nH]ccc2ncnc(Nc3ccccc3)c12,AP,1,1,0,1,0.7165212804895742,0,1,63.19114875221239,,
+O=CNc1ccc(F)cc1,AP,1,0,1,1,0.6161775917187738,1,1,25.55626378244204,,
+Nc1ccc(F)cc1,AP,1,0,1,1,0.5030676848790228,1,1,25.644628327631864,,
+Nc1c[nH]c2ncc(-c3ccccc3F)cc12,AP,1,1,1,1,0.6711127605509931,0,1,28.093785901019206,,
+c1ccc2ccccc2c1,AP,1,1,1,1,0.5114311994891171,1,1,27.06630754652044,50.0,1.0
+CC(=O)Nc1nc(C=O)cs1,AP,1,0,1,1,0.6710456384575164,1,1,30.33065789847789,,
+O=Cc1ccc(F)c(-c2c(F)cccc2F)n1,AP,1,0,1,1,0.7513613935727798,0,1,18.90655488078208,,
+Nc1ccc(N)c2c1C(=O)c1c(O)ccc(O)c1C2=O,AP,0,0,0,0,0.3568197239593934,1,1,11.864126610305144,,
+Nc1cccc2c1C(=O)c1c(O)ccc(O)c1C2=O,AP,0,0,0,0,0.4167301493569221,1,1,15.842486680641953,,
+Fc1cccc(F)c1-c1ccc2n[nH]cc2c1,AP,1,1,0,1,0.6804654782233055,0,1,39.18471350504292,,
+c1cnc(-c2c[nH]c3ccccc23)nc1,AP,1,1,1,1,0.6480917393206026,0,1,56.79773078913687,,
+Fc1cccc(F)c1-c1ccc2[nH]ncc2c1,AP,1,1,0,1,0.6804654782233055,0,1,40.27435049933316,,
+c1ccc2ncc(-c3[nH]nc4ccccc34)cc2c1,AP,1,1,0,1,0.5541805180060314,0,1,54.71071236244025,,
+c1ccc(-c2c[nH]c3ccccc23)nc1,AP,1,1,0,1,0.6326173123272912,0,1,59.02073054660832,,
+NC(=O)c1csc(-c2c(F)cccc2F)n1,AP,1,1,1,1,0.8742648144218211,0,1,46.71996361642663,,
+Cc1[nH]nc2cnccc12,AP,1,1,1,1,0.5875133881718076,1,1,37.48350383693354,0.0,0.0
+c1ccc(-c2n[nH]c3cnccc23)nc1,AP,1,1,1,1,0.6473789295391943,0,1,36.69135522674923,,
+Nc1ccc(-c2ccccc2F)nc1C=O,AP,1,0,1,1,0.7833035562405819,0,1,19.725787700213733,,
+Cn1cnc2ccccc2c1=O,AP,1,1,1,1,0.5743423431787908,1,1,49.13022444967932,0.0,0.0
+Cn1c(-c2ccccc2)cc2c(Cl)cc(C(N)=O)nc21,AP,1,1,0,1,0.7866408721906318,0,1,41.5113682606708,,
+Clc1ccccc1Cl,AP,1,1,1,1,0.5285863388321962,0,1,26.91467870806813,,
+Clc1ccc2[nH]ccc2c1,AP,1,1,1,1,0.5961550779996849,1,1,48.23450453605859,0.0,0.0
+Fc1cccc(F)c1-c1ccc2cncn2n1,AP,1,1,1,1,0.6441279543634886,0,1,24.751098595758847,,
+Nc1cccc2ncccc12,AP,1,0,1,1,0.5725810426076291,1,1,37.198079725837054,,
+Cc1csc(C#N)c1C,AP,1,1,1,1,0.5376192604584475,0,1,15.225175514510868,,
+Cc1ccc(C)cc1,AP,1,1,1,0,0.475757685340321,1,1,22.795794117574705,,
+Cc1csc2nc(C3CC3)nc(C)c12,AP,1,1,0,1,0.712611158534673,0,1,29.361951562615197,,
+Brc1ccsc1Br,AP,1,1,0,1,0.6543271825003024,1,1,23.18259567250858,,
+Sc1ccc(Cl)cc1,AP,1,0,1,1,0.5321150771055563,1,0,-0.6747841143979261,,
+COc1cccc(C)c1OC,AP,1,1,1,1,0.6450116473288806,1,1,41.93122399588191,0.0,0.0
+Brc1ccc2[nH]ccc2c1,AP,1,1,1,1,0.6661413067399449,1,1,52.96792315738858,0.0,0.0
+Cc1cccc2cnccc12,AP,1,1,1,1,0.5519055037199659,1,1,44.07900516433005,0.0,0.0
+O=C1Cc2cc(Cl)ccc2N1,AP,1,1,1,1,0.6278148486894898,1,1,15.845503907079443,0.0,0.0
+Cn1cc(-c2ccc(CO)cc2)c2c(Cl)ccnc21,AP,1,1,0,1,0.776520910295894,0,1,35.0614029548842,,
+N#Cc1ccnc2[nH]ccc12,AP,1,1,1,1,0.6061234099403053,1,1,30.91183113205806,0.0,0.0
+Cn1ccc2c(C#N)ccnc21,AP,1,1,1,1,0.5803122080413115,0,1,29.41763378966014,,
+c1ccc(-n2ncc3cnccc32)nc1,AP,1,1,1,1,0.5958421165357399,0,1,44.9026422880489,,
+Cc1c[nH]c2cnccc12,AP,1,1,1,1,0.5820392325335273,1,1,24.37623498836742,0.0,0.0
+Cc1c[nH]c2cccnc12,AP,1,1,1,1,0.5820392325335273,1,1,30.524459567803014,0.0,0.0
+c1ccc(-c2cncc(-n3ncc4ccccc43)n2)cc1,AP,1,1,0,1,0.5608170538864986,0,1,58.038138562745885,,
+Clc1ccc2c(c1)Nc1ccccc1O2,AP,1,1,0,1,0.6097617059145659,0,1,26.813460003248235,,
+Clc1ccc2c(c1)Nc1ccncc1O2,AP,1,1,0,1,0.6262944921130648,0,1,8.327369059146033,,
+Nc1cc2c(cc1Cl)Nc1ccncc1O2,AP,1,0,0,1,0.5857809825281768,0,0,-5.467347843889607,,
+Nc1sc(-c2c(F)cccc2F)nc1C=O,AP,1,0,1,1,0.820266876287356,0,1,15.735617275498912,,
+c1csc(-c2cccc3sccc23)c1,AP,1,1,0,1,0.5560691239924458,0,1,50.6863943763508,,
+NC(=O)c1cc2c(-c3ccc(C=O)s3)cccc2s1,AP,1,0,0,1,0.7489035148524565,0,1,39.97557836369332,,
+O=C([O-])c1cc2ccccc2s1,AP,1,1,1,1,0.6576000732354649,0,1,61.39856685843648,,
+O=Cc1ccc(-c2cccc3sccc23)s1,AP,1,0,0,1,0.6088926684821028,0,1,40.55451233565091,,
+c1ccc(-c2nccs2)cc1,AP,1,1,1,1,0.6263545777465895,1,1,50.03778402169769,0.0,0.0
+NC(=O)c1cc(Cl)c2c(Cl)c(C3CC3)[nH]c2n1,AP,1,1,0,1,0.8801952564153973,0,1,16.014690088969395,,
+Cc1c[nH]c2nc(C(N)=O)cc(Cl)c12,AP,1,1,0,1,0.7493580922471091,0,1,20.31024628259031,,
+c1ccc(Oc2ccncn2)cc1,AP,1,1,1,1,0.6965202718104504,0,1,60.986197654331725,,
+CN1C(=O)/C(=C/c2ccccc2)c2ccc(N)cc21,AP,1,0,1,1,0.6245692131975665,0,1,37.97896632596643,,
+O=C1Nc2ccccc2/C1=C\c1ccccc1,AP,1,0,0,1,0.7360920258682248,0,1,46.98174189362109,,
+Nc1ccc2c(c1)NC(=O)/C2=C/c1ccccc1,AP,1,0,1,1,0.5905565449492348,0,1,38.43909351106368,,
+Oc1ccc2c(Cc3ccccc3)coc2c1,AP,1,1,0,1,0.719107867396939,0,1,64.48775880488728,,
+O=Cc1csc(-c2c(F)cccc2F)n1,AP,1,0,1,1,0.7353780264504028,1,1,27.376765315177572,,
+CCc1cccc(O)c1C,AP,1,1,1,1,0.6274832851534122,1,1,24.40698630563176,0.0,0.0
+COc1cc2c(Cl)nccc2cc1C=O,AP,1,0,1,1,0.578275096634239,0,1,29.793826116830164,,
+Cn1cncc1C1=CNCCS1,AP,1,1,1,1,0.7021660488115231,0,0,-23.0641680822562,,
+C[C@@H]1C(=O)NN=C2COc3ccccc3N21,AP,1,1,1,1,0.6962045549908874,0,0,-28.695140591595592,,
+Nc1ncc(-c2ccccc2)cc1C=O,AP,1,0,1,1,0.7519598842805689,1,1,25.098081176018933,,
+C[N+]1=C/C(=C2/CC(=O)NC2=O)c2ccccc21,AP,0,0,1,0,0.4055069398506887,0,0,-20.93252790624348,,
+Cc1ccc2c(c1)OCC1=NNC(=O)[C@@H](C)N12,AP,1,1,1,1,0.725093817871833,0,0,-25.318183936715386,,
+O=c1[nH]c2cccnc2[nH]1,AP,1,1,0,1,0.5435651991279111,1,1,23.582017611714814,,
+Cc1nc[nH]c1/C=C1\C(=O)Nc2ccccc21,AP,1,0,1,1,0.7308941750993609,0,1,25.77322120513901,,
+Nc1ncc2c(n1)-c1[nH]ncc1CC2,AP,1,1,0,1,0.6306402629241886,0,1,17.152741854180377,,
+Cn1nc(C(N)=O)c2c1-c1nc(N)ncc1CC2,AP,1,1,0,1,0.7119176322257509,0,1,23.276336013214426,,
+Nc1ncc2c(n1)-c1ccc(Cl)cc1NC(=S)C2,AP,1,0,0,1,0.7244973869654638,0,1,3.409157566065673,,
+C=C[C@@]1(F)CNc2nc(N)ncc2N(C)C1=O,AP,1,0,0,1,0.6880110372402768,0,0,-34.11703500849912,,
+CN1C(=O)C(F)(F)CNc2nc(N)ncc21,AP,1,1,0,1,0.6578807348855383,0,0,-22.56003035517584,,
+CC[C@H]1Nc2nc(N)ncc2-n2cnc(C#N)c21,AP,1,1,0,1,0.7708828267866887,0,0,-1.7738408332284468,,
+CC[C@H]1Nc2ncncc2N(C)C1=O,AP,1,1,0,1,0.7091427301776266,0,0,-8.280412703109626,,
+CC[C@H]1Nc2nc(-n3ccnc3)ncc2N(C)C1=O,AP,1,1,0,1,0.8630455524499424,0,1,13.78117381965939,,
+CC[C@H]1Nc2nc(N)ncc2N2C=NN[C@H]12,AP,1,1,0,1,0.6127069135591465,0,0,-37.02451355356292,,
+c1ccc2sccc2c1,AP,1,1,1,1,0.5193756104894538,1,1,41.037837130138456,0.0,0.0
+NC(=O)c1cc2ccccc2s1,AP,1,1,1,1,0.7108928275991874,1,1,55.521802457140616,0.0,0.0
+C[C@@]1(N2C(=O)c3ccccc3C2=O)CCC(=O)NC1=O,AP,1,0,0,1,0.7535161626338501,0,0,-7.02438082945261,,
+Nc1ccn2ncc(-c3ccccc3)c2n1,AP,1,1,1,1,0.6677410256585465,0,1,31.71790192659786,,
+N#Cc1cnn2ccccc12,AP,1,1,1,1,0.5557042508938959,0,1,39.71891905718836,,
+CCOC,AP,1,1,1,0,0.4315009980580737,1,1,14.173271476186557,,
+CS(=O)(=O)c1ccc2ncccc2c1,AP,1,1,1,1,0.713772587980444,1,1,64.60044534679476,0.0,0.0
+CC(C)(C)S(=O)(=O)c1ccc2nccc(N)c2c1,AP,1,1,0,1,0.8579344107311356,1,1,47.28269590115666,,
+CC(C)(C)S(=O)(=O)c1ccc2nccn2c1,AP,1,1,1,1,0.762182029760947,0,1,56.8514552526517,,
+COc1cc2nccc(N)c2cc1S(=O)(=O)C(C)(C)C,AP,1,1,0,1,0.919276228869707,1,1,43.201175487882864,,
+CC(C)(C)S(=O)(=O)c1ccc2ncnc(N)c2c1,AP,1,1,0,1,0.8490439678547436,0,1,47.24130508266378,,
+NC(=O)c1cnn2c1N[C@H]1C[C@H](C[C@@H]1O)C2,AP,1,1,0,1,0.5994848692393709,0,0,-15.946070896705889,,
+O=CNc1cc(O)ccn1,AP,1,0,0,1,0.5796211958476698,0,0,-0.8184581820537153,,
+O=[SH](=O)c1cccc2c(O)nccc12,AP,1,0,0,1,0.6849464125169556,0,0,-18.52417570643481,,
+Cc1cncc2cccc([SH](=O)=O)c12,AP,1,0,1,1,0.7209757032472129,1,0,-21.044444309638216,,
+Cc1cnnn1-c1nonc1N,AP,1,1,0,1,0.6154048148843421,0,1,22.39199499297602,,
+N#Cc1ccccc1,AP,1,1,1,0,0.4884445703746373,1,1,32.15537243473899,,
+C1=C(c2c[nH]c3ncccc23)CCNC1,AP,1,1,1,1,0.7365235952442868,0,0,-0.6769793649240259,,
+OCc1ccccc1,AP,1,1,1,1,0.5723436119287516,1,1,30.89379261466763,0.0,0.0
+Nc1ccncc1F,AP,1,1,1,1,0.5388077752872951,1,1,20.40000135815709,0.0,0.0
+c1ccc2c(c1)OCc1cnccc1-2,AP,1,1,1,1,0.6259976274760464,0,0,-15.813300774356122,,
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+CCn1cnc2cncnc21,AP,1,1,1,1,0.6016654515624413,1,1,26.10643755546531,0.0,0.0
+Cc1ccc(C(N)=O)o1,AP,1,1,1,1,0.5997819536090209,1,1,34.31775954918557,0.0,0.0
+NC(=O)c1ccco1,AP,1,1,1,1,0.5690629874470592,1,1,32.06712585829939,0.0,0.0
+Nc1ccnc(-c2nc3ccc(Cl)c(F)c3[nH]2)n1,AP,1,1,0,1,0.7063463112617784,0,1,29.47347841609809,,
+Nc1ccnc(-c2nc3cc(F)c(Cl)cc3[nH]2)n1,AP,1,1,0,1,0.7063463112617784,0,1,42.49880395048175,,
+Nc1ncnc2scnc12,AP,1,1,0,1,0.6021430059200858,1,1,23.73297372192985,,
+Nc1ccnn2ccnc12,AP,1,1,1,1,0.5638030951061849,0,1,20.080270959546503,,
+NC(=O)c1nnccc1N,AP,1,1,0,1,0.5284027360700222,1,1,16.48699830590769,,
+Nc1nccc2nc[nH]c(=O)c12,AP,1,1,0,1,0.5660876995210078,0,1,23.278834057657622,,
+NC(=O)c1nncnc1N,AP,1,1,0,1,0.494576253228965,0,1,16.865189287000277,,
+Cc1ccn(-c2nc(N)ncc2F)c1,AP,1,1,1,1,0.7403718863896305,0,1,27.11478127108184,,
+Cc1ccn(-c2ccnc(N)n2)n1,AP,1,1,0,1,0.6868210244776503,0,1,44.676838317908825,,
+CCNc1nc(N)ncc1Cl,AP,1,1,0,1,0.7025672663782564,0,1,34.28496468114354,,
+CCNc1nc(N)ncc1F,AP,1,1,0,1,0.658755306689484,0,1,36.00279878349416,,
+CCNc1ncncc1F,AP,1,1,1,1,0.6684353268683102,1,1,34.9550889646539,0.0,0.0
+c1cc2ncsc2cn1,AP,1,1,1,1,0.5504287970242819,0,1,28.6609564004574,,
+c1ccc2nscc2c1,AP,1,1,1,1,0.5397735725540235,0,1,30.245118750148844,,
+Nc1nccc2nccnc12,AP,1,1,0,1,0.5908907457799355,1,1,30.08280070418663,,
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+Nc1ncc2occc2n1,AP,1,1,0,1,0.5799503038107798,0,1,25.21544363873897,,
+NC(=O)c1cnccn1,AP,1,1,0,1,0.5507568071868295,1,1,32.58283326345998,,
+O=C1NCc2c(F)cncc21,AP,1,1,1,1,0.5865252406089385,0,0,-21.541968565889224,,
+Nc1ncnc2c1C(=O)NC2,AP,1,1,0,1,0.5121701769339623,0,0,-16.24572139668639,,
+Nc1ncnc2cc[nH]c(=O)c12,AP,1,1,0,1,0.5660876995210078,0,1,26.290220068117,,
+Nc1ncnc2c1C(=O)N=CC2,AP,1,1,0,1,0.5736020829544548,0,0,-22.687344580842,,
+Cc1ccnc(CO)c1,AP,1,1,1,1,0.6010089583015967,1,1,34.70404478828296,0.0,0.0
+Nc1nccc2ccoc12,AP,1,1,1,1,0.5922099720914726,1,1,24.06492983993912,0.0,0.0
+Nc1nccc2c(Cl)coc12,AP,1,1,1,1,0.6552885478326933,0,1,19.400051218253104,,
+NC(=O)c1csc2c(=O)[nH]cnc12,AP,1,1,0,1,0.6750404462121652,0,1,25.344618420606537,,
+Nc1ncc(I)cn1,AP,1,0,1,1,0.6544832812837692,1,1,25.19544366949828,,
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+Nc1ncc(C2CC2)c(N)n1,AP,1,1,0,1,0.611320762430444,1,1,11.252268553751962,,
+Nc1ncc(C2CC2)cn1,AP,1,1,1,1,0.6229702426207004,1,1,9.089870884640058,0.0,0.0
+O=C[O-],AP,1,0,1,0,0.3065473221945595,1,1,1.1086118535634293,,
+Nc1nc2oc3ccccc3c(=O)c2cc1C(=O)[O-],AP,1,0,0,1,0.6255459956076521,0,1,40.20506206631299,,
+Nc1nc2cc(C=O)ccc2[nH]1,AP,1,0,0,1,0.6115984485301852,0,1,15.80939991738794,,
+NC1Nc2ccccc2N1,AP,1,1,1,1,0.4920864811145489,0,0,-0.8032532989567447,,
+c1cnc2cccnc2c1,AP,1,1,1,1,0.5412819114011972,1,1,30.19121932376092,0.0,0.0
+Nc1cc(O)ccn1,AP,1,1,1,1,0.5068633046996494,1,1,13.763142173476115,0.0,0.0
+Nc1ncnc2c1C(=O)CC=N2,AP,1,1,0,1,0.5962272377493266,0,0,-23.38987442793016,,
+N#Cc1cnc2cccnn12,AP,1,1,1,1,0.5436577757102758,0,1,31.060956719716227,,
+Nc1ccnc2c[nH]nc12,AP,1,1,0,1,0.5521636672820287,1,1,18.85839023165432,,
+COc1cnc2ccnn2c1,AP,1,1,1,1,0.5998691175423345,0,1,34.080341971253496,,
+Nc1ncc(Br)c2cccnc12,AP,1,1,1,1,0.7436974673890242,0,1,37.62306131606781,,
+Nc1nccc2cccnc12,AP,1,1,1,1,0.6058167298330609,1,1,37.02052434280633,0.0,0.0
+Nc1cc(O)n[nH]1,AP,1,1,0,0,0.4175762288292036,1,1,11.26698800139939,,
+Nc1ccc2ncnc(N)c2n1,AP,1,1,0,1,0.5750961046618707,0,1,28.808317523813987,,
+CSc1sc(-c2cc[nH]n2)c2c1C(=O)NCC2,AP,1,1,1,1,0.8179854204340231,0,0,-0.2927375056585277,,
+Cc1ccc2c(c1)/C(=N\C=O)N=N2,AP,1,0,1,1,0.5989251431729292,0,0,-15.396560850845097,,
+Nc1cccc2c1C(=O)c1ccccc1C2=O,AP,0,0,0,1,0.5931316338727306,1,1,28.51826501823232,,
+Nc1ccc2[nH]nc(-c3cccnc3)c2c1,AP,1,0,0,1,0.6049001299997127,0,1,49.94239726092012,,
+NC(=O)/N=c1\s[nH]cc1C(N)=O,AP,1,1,0,1,0.5300480568125762,0,0,-1.3941168494508922,,
+Nc1ccc2cc[nH]c2n1,AP,1,1,1,1,0.5658999712435826,1,1,44.52020778964019,6.0,1.0
+CN1C(=O)CCNc2nc(N)ncc21,AP,1,1,0,1,0.5976078544628604,0,0,-11.41389534691602,,
+Nc1ncnc2cc(Cl)ccc12,AP,1,1,1,1,0.6718606972163413,1,1,40.1272188121736,0.0,0.0
+N#Cc1cnc(N)cc1N,AP,1,1,0,1,0.5269181380703917,1,1,19.49403412256804,,
+Cc1ccc(-c2n[nH]c3ccccc23)cc1S(N)(=O)=O,AP,1,1,0,1,0.7567750574119184,0,1,60.812041260284495,,
+N#Cc1ccc(N)nc1,AP,1,1,0,1,0.5415838765407543,1,1,30.350135396515206,,
+Nc1cc2c(ccn2C=O)cn1,AP,1,0,0,1,0.6246596491293699,0,1,7.683915519705472,,
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+c1ccc(-c2[nH]nc3ccccc23)cc1,AP,1,1,0,1,0.6326173123272912,0,1,43.17398171460556,,
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+c1ccc(-c2[nH]nc3ccncc23)cc1,AP,1,1,1,1,0.6480917393206026,0,1,37.76009741112998,,
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+Nc1nc(N)c2nc[nH]c2n1,AP,1,1,0,0,0.4697309637708927,1,1,38.263490370916216,,
+Nc1ncc2c(n1)-n1cccc1CC2,AP,1,1,1,1,0.6659862441089778,0,1,6.674108468520819,,
+Nc1nc(O)c2cc[nH]c2n1,AP,1,1,0,1,0.5017634936751659,0,1,24.18259323942948,,
+Cc1cc2cnc(N)nc2cn1,AP,1,1,0,1,0.6218419119060887,0,1,16.60233934048488,,
+Nc1nc(O)c2c(Cl)c[nH]c2n1,AP,1,1,0,1,0.5677303937116372,0,1,12.528927572612927,,
+N#Cc1c[nH]c2nc(N)ncc12,AP,1,1,0,1,0.5819712596762779,0,1,22.260575667583108,,
+CNc1nc(N)nc2[nH]cc(C#N)c12,AP,1,1,0,1,0.6025062667104113,0,1,18.255854279057093,,
+Sc1ccnc2cc(Cl)ccc12,AP,1,0,0,1,0.6375530156465741,1,1,17.82503901468331,,
+Cn1cc(-c2nnc3ccc(S)nn23)cn1,AP,1,0,0,1,0.6307582054359421,0,1,29.13814372781213,,
+Nc1n[nH]c2cc[nH]c(=O)c12,AP,1,1,0,0,0.4869580597930594,0,1,21.312923606807168,,
+Nc1nccc2[nH]cnc12,AP,1,1,0,1,0.5521636672820287,1,1,21.726361721578986,,
+Nc1ncnc2c1C(=O)N=C2,AP,1,1,0,1,0.543878999033033,0,0,-19.562570083902603,,
+NC(=O)Nc1sccc1C(N)=O,AP,1,1,0,1,0.6185869036973267,0,1,49.68209828687662,,
+Oc1cnccn1,AP,1,1,1,1,0.5008316474747049,1,1,12.476225330459568,0.0,0.0
+CNc1cc(N)nn2c(C(N)=O)cnc12,AP,0,1,0,1,0.6101448975648261,0,1,26.36107454426025,,
+CNc1cc(N)nn2c(C=O)cnc12,AP,0,0,0,1,0.6605142821590916,0,1,10.13022636977657,,
+CNC(=O)c1cnccc1N,AP,1,1,0,1,0.5943171659196315,1,1,29.100387661073576,,
+CNC(=O)c1nnccc1N,AP,1,1,0,1,0.5636652311191135,0,1,19.47845006967108,,
+CNc1cc(N)nc2c(C=O)cnn12,AP,1,0,0,1,0.6605142821590915,0,1,10.02616580634805,,
+O=C(Nc1cc2cc[nH]c2cn1)C1CC1,AP,1,1,1,1,0.7793109906840083,0,1,63.901565706218925,,
+Cn1ccc2cc(NC(N)=O)ncc21,AP,1,1,0,1,0.7053160919719298,0,1,39.05083683518896,,
+Nc1cc(C2CCC2)[nH]n1,AP,1,1,1,1,0.6118280272406302,1,1,19.831972108998905,0.0,0.0
+c1ccc2[nH]nnc2c1,AP,1,1,1,1,0.5607362152362961,1,1,36.92621296978984,0.0,0.0
+C[C@@H]1Nc2nc(N)ncc2N(C)C1=O,AP,1,1,0,1,0.5975279988504999,0,0,-12.851859631472523,,
+C[C@@H]1C(=O)N(C)c2cnc(N)nc2N1C,AP,1,1,0,1,0.640494613267454,0,0,-4.8274719260656775,,
+C[C@H]1C(=O)N(C)c2cnc(N)nc2N1C,AP,1,1,0,1,0.640494613267454,0,0,-4.8274719260656775,,
+Nc1ncc2c(n1)NCC(=O)N2,AP,1,1,0,0,0.4780383897214788,0,0,-20.686634028766512,,
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+C#CCN1C(=O)[C@@H](C)Nc2nc(N)ncc21,AP,1,0,0,1,0.6383898510304709,0,0,-6.087377845420491,,
+C#CCN1C(=O)[C@@H](C)N(CC)c2nc(N)ncc21,AP,1,0,0,1,0.756029991472245,0,1,3.882207787281496,,
+CCCCN1C(=O)[C@@H](C)N(C)c2nc(N)ncc21,AP,1,1,0,1,0.8655685466492592,0,1,10.912920270831972,,
+CCCN1C(=O)[C@@H](C)Nc2nc(Nc3cc(F)c(O)c(F)c3)ncc21,AP,1,0,0,1,0.7355763702790068,0,1,19.66670232785689,,
+C[C@H]1Nc2nc(N)ncc2N(C)C1=O,AP,1,1,0,1,0.5975279988505,0,0,-12.851859631472523,,
+CC(C)(C)c1cc(Nc2ccnc(N)n2)[nH]n1,AP,1,1,0,1,0.7341021304766453,0,1,55.388569232724926,,
+O=C1NC(=O)c2c1ccc1[nH]c3ccccc3c21,AP,1,0,0,1,0.5876510920773108,0,1,5.703521920214415,,
+Cn1c2ccc(O)cc2c2c3c(ccc21)C(=O)NC3=O,AP,1,0,0,1,0.610559601317007,0,0,-5.290383647989415,,
+Cn1cc(Br)c2c3c(ccc21)C(=O)NC3=O,AP,1,0,1,1,0.7477982914214595,0,0,-0.3448601363653965,,
+Cn1cc(CCO)c2c3c(ccc21)C(=O)NC3=O,AP,1,0,0,1,0.7596935002782341,0,1,2.972671076887164,,
+O=CC1CCNCC1,AP,1,0,1,0,0.4915354247221215,1,0,-22.935827756752712,,
+Cc1cc(C)c(/C=C2\C(=O)Nc3ccc(Cl)cc32)[nH]1,AP,1,0,0,1,0.7626543694230666,0,1,35.62739044176795,,
+COc1n[nH]c2ncc(-c3c[nH]nn3)cc12,AP,1,1,0,1,0.659018438716395,0,1,15.416343803906193,,
+O=C1NCc2ccccc2N1c1c(Cl)cccc1Cl,AP,1,1,0,1,0.8323323309231762,0,1,1.2885539513836166,,
+CCNc1ncccn1,AP,1,1,1,1,0.6347304780479304,1,1,37.50614962298098,0.0,0.0
+O=C1CCc2ccccc2N1c1c(Cl)cccc1Cl,AP,1,1,0,1,0.7515993304163293,0,1,23.92496682318901,,
+CNC(=O)c1ccccc1,AP,1,1,1,1,0.6122319116423771,1,1,47.82334391425171,0.0,0.0
+CC(C)c1nnc2ccccn12,AP,1,1,1,1,0.6385713929124197,0,1,56.77521898499624,,
+Nc1[nH]ncc1C(=O)c1ccccc1,AP,1,1,0,1,0.6941986224695108,0,1,45.07560287975523,,
+O=c1cccnn1-c1ccccc1Cl,AP,1,1,1,1,0.7143392898211373,0,1,46.06219415175913,,
+O=CN1CCn2cncc2C1,AP,1,0,1,1,0.5236129373274175,1,0,-1.5424661836832263,,
+CCNC(=O)c1cn2ncncc2c1C,AP,1,1,1,1,0.7862561410235289,0,1,38.95531575823507,,
+Cc1c(C(=O)N[C@@H](C)c2ccccc2)cn2ncncc12,AP,1,1,1,1,0.801692638520589,0,1,82.85525620562963,,
+O=Cc1nc(-c2ccc3cccnc3c2)cs1,AP,1,0,0,1,0.646022743558797,0,1,47.431648991359005,,
+N#Cc1cccc(NC=O)c1,AP,1,0,1,1,0.6355418915117451,1,1,28.90482945371657,,
+CC[C@@H](C)Nc1nccs1,AP,1,1,1,1,0.7262894710418909,0,1,40.08602211335633,,
+Nc1nc2ccccc2s1,AP,1,1,1,1,0.6223520348087767,1,1,48.743862824883614,0.0,0.0
+Cc1cccc(-c2nnc(C)o2)c1,AP,1,1,1,1,0.6657044972110279,1,1,53.34028767366128,0.0,0.0
+O=c1cc2cccnn2cn1,AP,1,1,1,1,0.5301698156033264,0,1,30.821464294468107,,
+Clc1ccccc1-c1n[nH]c2ncncc12,AP,1,1,1,1,0.6993460925803534,0,1,40.02563541293738,,
+c1ncc2cn[nH]c2n1,AP,1,1,1,1,0.5454672838232756,1,1,16.096061713017697,0.0,0.0
+Clc1ccccc1-c1[nH]nc2ccccc12,AP,1,1,0,1,0.6727924866518887,0,1,44.88893018079135,,
+Cc1ccccc1-c1n[nH]c2ncncc12,AP,1,1,1,1,0.6702349045302566,0,1,36.52514175393405,,
+C[C@@H](CS(C)(=O)=O)Nc1ncc2ccc(=O)n(C)c2n1,AP,1,1,0,1,0.8643136636248655,0,1,53.10973273379619,,
+C[C@H](Cn1ncnn1)Nc1ncc2ccc(=O)n(C)c2n1,AP,1,1,0,1,0.7088684304648689,0,1,41.34031828187096,,
+c1nn[nH]n1,AP,1,1,1,0,0.434429066558905,0,1,9.60191849235292,,
+C[C@@H](CS(C)(=O)=O)Nc1n[nH]c2ncncc12,AP,1,1,0,1,0.8089201947262068,0,1,48.459306109441656,,
+C[C@H](CS(C)(=O)=O)Nc1n[nH]c2ncncc12,AP,1,1,0,1,0.8089201947262067,0,1,48.459306109441656,,
+c1ncc2c(NC3CCOCC3)n[nH]c2n1,AP,1,1,0,1,0.7858754468251942,0,1,39.93907631390582,,
+Nc1ncc2c(n1)NC(=O)NC2,AP,1,1,0,0,0.4914009204750401,0,0,-22.97732467348698,,
+Cn1c(=O)ccc2cnn(-c3ccc(F)cc3F)c21,AP,1,1,1,1,0.6718436067139911,0,1,45.84217909291542,,
+c1ccc2c(c1)ncn2-c1ncncn1,AP,1,1,0,1,0.5879972723001431,0,1,35.543374237380874,,
+Cc1ccc(Br)c(=O)[nH]1,AP,1,1,1,1,0.6559875098992799,1,1,27.68486719816487,0.0,0.0
+NC1=C(C=O)C=[C][N+2](#[O+])[CH]1,AP,1,0,0,0,0.4123574680224621,0,0,-35.546959663961935,,
+C[C@H]1CN(C=O)[C@H](C)C[NH2+]1,AP,1,0,1,0,0.4598539461550156,0,0,-20.115086520055595,,
+O=C(NCC1CC1)c1cccnc1,AP,1,1,1,1,0.7520064034062304,1,1,81.85531271170248,0.0,0.0
+Fc1cccc(F)c1-n1ncc2cnncc21,AP,1,1,1,1,0.6448622564442238,0,1,28.45220997543016,,
+c1ccn2cnnc2c1,AP,1,1,1,1,0.511375604737478,1,1,41.39098284837183,0.0,0.0
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+C[C@@H](S)C(N)=O,FP,1,0,1,0,0.4451157961440545,1,0,-1.1708779425453668,,
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+OC(F)(F)F,FP,1,1,1,0,0.4546943751491228,1,1,8.85801368762451,,
+CCCC(N)=O,FP,1,1,1,1,0.5158494162613733,1,1,20.210994239342767,2.0,1.0
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+SCC1CC[NH2+]CC1,FP,1,0,1,0,0.463336362143342,0,1,1.7474292159412697,,
+SCC1C[NH2+]C1,FP,1,0,1,0,0.4016332052706827,0,0,-7.283069997162773,,
+SC[C@@H]1CC[NH2+]C1,FP,1,0,1,0,0.4320017885386588,0,0,-1.5741899873779908,,
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+CCC[NH+]1CCOCC1,FP,1,1,1,1,0.5222517089312311,0,1,34.24048973560894,,
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+CC(=O)Nc1ccccc1,FP,1,1,1,1,0.6227994751052723,1,1,50.70803070546458,714.0,1.0
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+C[NH+](C)CCCC(=O)Nc1ccccc1,FP,1,1,0,1,0.726126020866396,0,1,91.3020839939762,,
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+C[NH+](C)C1CCCC1,FP,1,1,1,0,0.4919716672475714,0,1,21.281762411339702,,
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+NC(=O)C(F)(F)Br,FP,1,0,1,1,0.5760829723162774,0,1,8.846523712186718,,
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+CC[NH+]1CCNCC1,FP,1,1,1,0,0.4247903929124874,0,1,3.498274746836457,,
+COc1cccc(OC)c1,FP,1,1,1,1,0.6189113153967104,1,1,40.67824546338798,854.0,1.0
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+OC[C@H]1CCCN1,FP,1,1,1,0,0.4763048254941971,1,0,-24.131607829297945,,
+CC(C)(CN)Nc1nccc2nncn12,FP,1,1,0,1,0.7531761742295495,0,1,18.371249690425884,,
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+NC(=O)c1ccc(N)cc1,FP,1,0,0,1,0.5473422654963028,1,1,37.47506477215158,,
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+C[NH+](C)C/C=C/C=O,FP,1,0,1,0,0.3643067273811359,0,0,-7.8525843248296,,
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+Nc1cc2nc3c(Br)cccc3nc2[nH]1,FP,1,1,0,1,0.6541988674563654,0,1,23.11717607357876,,
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+C[C@@]1(CO)CNc2c(C#N)cccc21,FP,1,1,1,1,0.6966310902681976,0,0,-14.057536874251932,,
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+[NH3+][C@@H]1CCCN(C=O)C1,FP,1,0,1,0,0.4463990063605232,0,0,-5.194218987963317,,
+C[C@H]1CN(C=O)CC[NH2+]1,FP,1,0,1,0,0.4257694141880539,0,0,-13.580830694191803,,
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+[NH3+][C@@H](COc1cccnc1)Cc1ccccc1,FP,1,1,0,1,0.840143175156281,0,1,74.84322388382736,,
+C[C@@H](N)C(C)(C)C,FP,1,1,1,0,0.4898423475803594,1,1,6.168173737350266,,
+CCNc1ccnc(N)n1,FP,1,1,0,1,0.6239127624495189,1,1,38.813412901548894,,
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+C[C@@H]1COCCN1c1ccnc(N)n1,FP,1,1,0,1,0.6954872742293317,0,1,19.56012171536115,,
+C[C@@H]1CCCCN1c1ccnc(N)n1,FP,1,1,0,1,0.7311142366310059,0,1,31.639451110502456,,
+C[C@H]1CCCCN1c1ccnc(N)n1,FP,1,1,0,1,0.7311142366310059,0,1,31.639451110502456,,
+C[C@@H]1CCCN(c2ccnc(N)n2)C1,FP,1,1,0,1,0.7282289508992896,0,1,43.89909696219437,,
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+C[N@H+]1CCCNCC1,FP,1,1,1,0,0.3924249396547354,0,0,-16.9504487499147,,
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+c1cc2nn[nH]c2nc1NCC1CC[NH2+]CC1,FP,1,1,0,1,0.6817186378514117,0,1,56.49730151813711,,
+Clc1cccc(NCC2CC[NH2+]CC2)c1,FP,1,1,1,1,0.8061528331821819,0,1,72.72038780448223,,
+CN1CC[NH+](C)CC1,FP,1,1,1,0,0.4013324856267133,0,1,18.180060917081622,,
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+[NH3+]CCNC(=O)C[C@H]1CNC(=O)c2cccn21,FP,1,1,0,1,0.5958546365285886,0,1,7.717780587033785,,
+[NH3+][C@@H]1CCCNC1,FP,1,1,1,0,0.4026375405755626,1,0,-12.559331385978204,,
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+O=Cc1cnn2ccc(NC[C@H]3CC[NH2+]C[C@@H]3F)nc12,FP,1,0,0,1,0.7642842617337442,0,1,13.579479953431507,,
+c1cc(-c2cnc3n2CCS3)ccn1,FP,1,1,1,1,0.7103571548704372,0,1,25.01671427838844,,
+CC[NH+](C)C,FP,1,1,1,0,0.4130719394179309,1,1,16.238026260411445,,
+[NH3+][C@@H]1CCCC[C@H]1Nc1ccn2nccc2n1,FP,1,1,0,1,0.8002203737241246,0,1,55.01281924934633,,
+Nc1cnccc1N1CCC[C@H]([NH3+])C1,FP,1,1,0,1,0.6527077305752653,0,1,31.63593508886592,,
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+[NH3+][C@H]1CCCNCC1,FP,1,1,1,0,0.4333544655603332,0,0,-13.276052186915573,,
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+C[NH+](C)C[C@@H]1CC[N+]2=C(Cc3ccccc32)C1,FP,1,0,1,1,0.7214955786556394,0,1,17.34717801713671,,
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+C[NH+]1CCC(C)([NH3+])CC1,FP,1,1,1,0,0.391524991787315,0,1,4.229976284064526,,
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+C[NH+]1CCN(c2cccnn2)CC1,FP,1,1,1,1,0.5884365228163201,0,1,48.01495108073547,,
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+O=[SH](=O)c1ccccc1,B2,1,0,1,1,0.5842392957793138,1,0,-13.83848688945763,,
+Cc1cc(Cl)ccc1CN,B2,1,1,1,1,0.6607217104253422,0,1,25.29013755667565,,
+Cc1ccncn1,B2,1,1,1,0,0.4745494696119243,1,1,26.52572884208437,,
+C[NH+]1CCN(Cc2ccccc2)CC1,B2,1,1,1,1,0.6921581953728709,0,1,84.8060866683494,,
+Cc1cc(=O)n(-c2ccc(F)cc2)n1C,B2,1,1,1,1,0.6961762309761073,0,1,25.36655046126711,,
+C1CC1,B2,1,1,1,0,0.3814250421649592,1,1,10.958161214651511,,
+Clc1ccccc1,B2,1,1,1,0,0.4833833263681997,1,1,28.62182911813474,,
+Cc1ccnn1C,B2,1,1,1,0,0.4652232925414449,1,1,21.874730262101156,,
+Cc1cc(C#N)n(C)n1,B2,1,1,1,1,0.5040077763806712,0,1,21.192631079771772,,
+Cc1cc(C)n(C)n1,B2,1,1,1,0,0.4875571449914143,0,1,26.15214152126061,,
+CC(C)O,B2,1,1,1,0,0.4284047940316283,1,1,8.915182362960154,,
+FCF,B2,1,1,1,0,0.3834948242297383,1,1,4.912031059920439,,
+COc1ccc(C)nc1,B2,1,1,1,1,0.5627332625267534,1,1,31.013448219828355,0.0,0.0
+Fc1ccccc1,B2,1,1,1,0,0.4618403302914614,1,1,26.89038789795228,,
+c1ccc2c(c1)OCCO2,B2,1,1,1,1,0.5371677140562677,1,1,25.77964556668312,0.0,0.0
+Cn1ccccc1=O,B2,1,1,1,0,0.4719138439954858,1,1,30.41344293946266,,
+C[C@@H](C=O)c1ccc(F)cc1,B2,1,0,1,1,0.593097869155282,1,1,13.77183606809792,,
+c1ccsc1,B2,1,1,1,0,0.4489266460144336,1,1,9.194709627715325,,
+C[S@](=O)c1ccccc1,B2,1,1,1,1,0.5763209398375385,1,1,28.38297782744105,0.0,0.0
+CONC=O,B2,1,0,1,0,0.3476962481631767,1,0,-8.168909256179099,,
+CCN,B2,1,1,1,0,0.4062370953898832,1,1,5.092217189432304,,
+Cc1nnco1,B2,1,1,1,0,0.4557395479673612,1,1,13.1958415557754,,
+Nc1ccon1,B2,1,1,1,0,0.4900555744517108,1,1,15.503600385501151,,
+c1cnoc1,B2,1,1,1,0,0.4472609802175263,1,1,11.831072068600074,,
+c1ccoc1,B2,1,1,1,0,0.4460314875501461,1,1,5.85239784787098,,
+CNC,B2,1,1,1,0,0.3986709398154768,1,1,10.078884984505532,,
+c1ccc(N2CCOCC2)nc1,B2,1,1,1,1,0.616780765523831,0,1,48.63005507487054,,
+Cc1cn(-c2ccccc2)cn1,B2,1,1,1,1,0.6216143144162246,1,1,32.821614488566404,0.0,0.0
diff --git a/kinfraglib/filters/pipeline.py b/kinfraglib/filters/pipeline.py
index d08d6550..a8df8dc0 100644
--- a/kinfraglib/filters/pipeline.py
+++ b/kinfraglib/filters/pipeline.py
@@ -1,6 +1,7 @@
 """
 Contains function to start the filters using the pipeline
 """
+
 from kinfraglib import filters
 import pandas as pd
 from IPython.display import display
@@ -8,8 +9,8 @@
 import os
 import datetime
 import pathlib
-import json     # noqa F401
-import copy     # noqa F401
+import json  # noqa F401
+import copy  # noqa F401
 
 
 def start_pipeline(
@@ -91,16 +92,22 @@ def start_pipeline(
             num_passing = num_filters
     dir = os.path.join(
         global_parameters.get("custom_path"),
-        datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S'),
+        datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S"),
     )
 
     if not os.path.exists(dir):
         os.makedirs(dir)
 
-    PATH_DATA_CUSTOM = pathlib.Path(dir)    # define Path to custom data
+    PATH_DATA_CUSTOM = pathlib.Path(dir)  # define Path to custom data
+
+    # to prevent showing personal paths in the notebooks
+    dir_print_version = (
+        str(dir).split("../../")[1] if len(str(dir).split("../../")) == 2 else dir
+    )
 
     print(
-        "Your custom kinfraglib, the chosen parameters log file and the filtering results will be stored in " + str(PATH_DATA_CUSTOM)    # noqa E501
+        "Your custom kinfraglib, the chosen parameters log file and the filtering results will be stored in "
+        + dir_print_version  # noqa E501
     )
     # save chosen parameters in created timestamp dir to save log file and created library
     param_list = [
@@ -117,15 +124,19 @@ def start_pipeline(
     for curdict in param_list:
         cur_dict = eval("copy.deepcopy(" + curdict + ")")
         for key in eval(curdict + ".keys()"):
-            if eval("isinstance(cur_dict[\"" + key + "\"], pathlib.Path)"):
+            if eval('isinstance(cur_dict["' + key + '"], pathlib.Path)'):
                 new_path = {key: str(cur_dict[key])}  # noqa F841
                 cur_dict.update(new_path)
                 cur_dict[key] = str(cur_dict[key])
-        with open(PATH_DATA_CUSTOM / "custom_filtering_parameters.log", 'a+') as fp:
+        with open(PATH_DATA_CUSTOM / "custom_filtering_parameters.log", "a+") as fp:
             fp.write(curdict + ": ")
 
-        eval("json.dump(cur_dict, open(\"" + str(PATH_DATA_CUSTOM) + "/custom_filtering_parameters.log\", \"a+\"))")     # noqa E501
-        with open(PATH_DATA_CUSTOM / "custom_filtering_parameters.log", 'a+') as fp:
+        eval(
+            'json.dump(cur_dict, open("'
+            + str(PATH_DATA_CUSTOM)
+            + '/custom_filtering_parameters.log", "a+"))'
+        )  # noqa E501
+        with open(PATH_DATA_CUSTOM / "custom_filtering_parameters.log", "a+") as fp:
             fp.write("\n")
 
     save_cols = []  # variable to store filter columns that are created during filtering
@@ -149,7 +160,10 @@ def start_pipeline(
                 axis=1,
             )
             num_fragments_pains = pd.concat(
-                [num_fragments_pains, num_fragments_pains.sum().rename("Total").to_frame().T]
+                [
+                    num_fragments_pains,
+                    num_fragments_pains.sum().rename("Total").to_frame().T,
+                ]
             )
             display(num_fragments_pains)
     # if brenk_filter is activated, apply brenk filter with the given parameters
@@ -173,7 +187,10 @@ def start_pipeline(
                 axis=1,
             )
             num_fragments_brenk = pd.concat(
-                [num_fragments_brenk, num_fragments_brenk.sum().rename("Total").to_frame().T]
+                [
+                    num_fragments_brenk,
+                    num_fragments_brenk.sum().rename("Total").to_frame().T,
+                ]
             )
             display(num_fragments_brenk)
 
@@ -201,7 +218,10 @@ def start_pipeline(
                 axis=1,
             )
             num_fragments_ro3 = pd.concat(
-                [num_fragments_ro3, num_fragments_ro3.sum().rename("Total").to_frame().T]
+                [
+                    num_fragments_ro3,
+                    num_fragments_ro3.sum().rename("Total").to_frame().T,
+                ]
             )
             display(num_fragments_ro3)
 
@@ -232,7 +252,10 @@ def start_pipeline(
                 axis=1,
             )
             num_fragments_qed = pd.concat(
-                [num_fragments_qed, num_fragments_qed.sum().rename("Total").to_frame().T]
+                [
+                    num_fragments_qed,
+                    num_fragments_qed.sum().rename("Total").to_frame().T,
+                ]
             )
             display(num_fragments_qed)
 
@@ -298,7 +321,10 @@ def start_pipeline(
                 axis=1,
             )
             num_fragments_syba = pd.concat(
-                [num_fragments_syba, num_fragments_syba.sum().rename("Total").to_frame().T]
+                [
+                    num_fragments_syba,
+                    num_fragments_syba.sum().rename("Total").to_frame().T,
+                ]
             )
             display(num_fragments_syba)
         if syba_parameters.get("do_plot"):
@@ -411,14 +437,16 @@ def start_pipeline(
                     subpocket=subpocket,
                     molsPerRow=10,
                 )
-                display(plt1)
+                if plt1:
+                    display(plt1)
                 plt2 = filters.plots.retro_routes_fragments(
                     fragment_library,
                     evaluate="max",
                     subpocket=subpocket,
                     molsPerRow=10,
                 )
-                display(plt2)
+                if plt2:
+                    display(plt2)
 
         # load results from filtering steps and add the pairwise retrosynthesizability results
         saved_filter_results = pd.read_csv(
@@ -444,7 +472,7 @@ def start_pipeline(
         )
 
     # save the filtered fragment library
-    print("Save custom filtered fragment library to %s" % str(PATH_DATA_CUSTOM))
+    print("Save custom filtered fragment library to %s" % str(dir_print_version))
     for subpocket in fragment_library.keys():
         fragment_library[subpocket].drop(
             fragment_library[subpocket]
@@ -453,7 +481,9 @@ def start_pipeline(
             inplace=True,
         )
     # remove fragments not passing the retro-filter
-    fragment_library_concat = fragment_library_concat[fragment_library_concat["bool_retro"] == 1]
+    fragment_library_concat = fragment_library_concat[
+        fragment_library_concat["bool_retro"] == 1
+    ]
     filters.retro.save_fragment_library_to_sdfs(
         PATH_DATA_CUSTOM,
         fragment_library_concat,
diff --git a/kinfraglib/filters/plots.py b/kinfraglib/filters/plots.py
index 25a1aebd..8fa233e1 100644
--- a/kinfraglib/filters/plots.py
+++ b/kinfraglib/filters/plots.py
@@ -53,14 +53,16 @@ def make_hists(
     # create one plot for each subpocket
     for i in range(0, 2):
         for j in range(0, int((num_plots) / 2)):
-            if (i * 4) + j < num_plots:
+            if (i * 4) + j <= num_plots and subpocket_num < len(
+                fragment_library.keys()
+            ):
                 ax = plt.subplot(gs[i, j])
                 ax.hist(
                     fragment_library[keys[subpocket_num]][colname],
                     facecolor="#04D8B2",
                     edgecolor="#808080",
                 )
-                ax.set_title(keys[((i * 4) + j)])
+                ax.set_title(keys[subpocket_num])
                 if (
                     plot_stats
                 ):  # add statistics box (max, min, mean value per subpocket)
@@ -73,7 +75,8 @@ def make_hists(
                             round(
                                 statistics.mean(
                                     fragment_library[keys[subpocket_num]][colname]
-                                )
+                                ),
+                                ndigits=2,
                             )
                         ),  # noqa: E501
                     )
@@ -122,6 +125,13 @@ def make_retro_hists(
     cutoff : int or float
         cutoff value for drawing a cutoff line to the plots
     """
+    # only consider subpockets that are not empty after filtering
+    fragment_library = {
+        sp: data
+        for sp, data in fragment_library.items()
+        if any(fragment_library[sp][colname])
+    }
+
     # get even number if number of plots not even
     num_plots = round(len(fragment_library.keys()) + 0.5)
     plt.figure(figsize=(25, 29))
@@ -130,7 +140,9 @@ def make_retro_hists(
     subpocket_num = 0
     for i in range(0, 2):
         for j in range(0, int((num_plots) / 2)):
-            if (i * 4) + j <= num_plots:
+            if (i * 4) + j <= num_plots and subpocket_num < len(
+                fragment_library.keys()
+            ):
                 cur_data = fragment_library[keys[subpocket_num]][colname]
                 cur_binsize = round(max(cur_data) / 9)
                 bin_lst = list(range(0, max(cur_data) + cur_binsize, cur_binsize))
@@ -240,6 +252,8 @@ def retro_routes_fragments(fragment_library, evaluate, subpocket, molsPerRow=10)
             "%s %s fragments with no retrosynthetic route found"
             % (num_fragments, subpocket)
         )
+        if num_fragments == 0:
+            return
         img = Draw.MolsToGridImage(
             pd.Series(
                 fragment_library[subpocket][
@@ -272,6 +286,8 @@ def retro_routes_fragments(fragment_library, evaluate, subpocket, molsPerRow=10)
                 subpocket,
             )
         )
+        if num_fragments == 0:
+            return
         print("legend: number of retrosynthetic routes found")
         img = Draw.MolsToGridImage(
             pd.Series(
diff --git a/kinfraglib/filters/retro.py b/kinfraglib/filters/retro.py
index c0a01b24..50ac8c66 100644
--- a/kinfraglib/filters/retro.py
+++ b/kinfraglib/filters/retro.py
@@ -1,6 +1,7 @@
 """
 Contains function to check the pairwise retrosynthesizability.
 """
+
 import multiprocessing as mp
 import pandas as pd
 import requests
@@ -108,64 +109,83 @@ def askcos_retro(smiles):
     cur_children1 = []
     cur_children2 = []
     cur_plausibilities = []
-    HOST = "https://askcos.mit.edu/"  # define ASKCOS host
+
+    HOST = "0.0.0.0"
+    PORT = "9100"  # define ASKCOSV2 host & port
+
     params = {
-        "smiles": smiles,  # required
-        # optional with defaults shown
-        "max_depth": 1,  # maximum number of reaction steps
-        "max_branching": 25,  # ?max number of branches are looked at to find "best"?
-        "expansion_time": 20,  # how long the expansion can run
-        "max_ppg": 100,  # maximum price per gram
-        "template_count": 100,
-        # "max_cum_prob"
-        # which common probability reached until no more templates are used
-        "max_cum_prob": 0.995,
-        # "chemical_property_logic"
-        # molecules are buyable or not, can be "none" (only price relevant),
-        # "and" (price and heavy atoms constraint) or
-        # "or" (one of both constraints is relevant)
-        "chemical_property_logic": "none",
-        # max heavy atom constraints if "and" or "or" is used in "chemical_property_logic"
-        "max_chemprop_c": 0,
-        "max_chemprop_n": 0,
-        "max_chemprop_o": 0,
-        "max_chemprop_h": 0,
-        # want to use popular chemicals as reasonable stopping points?
-        "chemical_popularity_logic": "none",
-        "min_chempop_reactants": 5,  # min frequency as popular reactant
-        "min_chempop_products": 5,  # min frequency as popular product
-        "filter_threshold": 0.75,
-        "return_first": "true",  # default is false
+        "smiles": smiles,
+        "expand_one_options": {
+            "template_count": 100,
+            # which common probability reached until no more templates are used
+            "max_cum_template_prob": 0.995,
+            "filter_threshold": 0.75,
+        },
+        "build_tree_options": {
+            # how long the expansion can run
+            "expansion_time": 20,
+            # max number of branches are looked at to find "best"
+            "max_branching": 25,
+            # maximum number of reaction steps
+            "max_depth": 1,
+            # max heavy atom constraints if "and" or "or" is used in "chemical_property_logic"
+            "max_chemprop_c": 0,
+            "max_chemprop_n": 0,
+            "max_chemprop_o": 0,
+            "max_chemprop_h": 0,
+            # maximum price per gram
+            "max_ppg": 100,
+            # "chemical_property_logic"
+            # molecules are buyable or not, can be "none" (only price relevant),
+            # "and" (price and heavy atoms constraint) or
+            # "or" (one of both constraints is relevant)
+            "chemical_property_logic": "none",
+            # want to use popular chemicals as reasonable stopping points?
+            "chemical_popularity_logic": "none",
+            # min frequency as popular reactant
+            "min_chempop_reactants": 5,
+            # min frequency as popular product
+            "min_chempop_products": 5,
+            # default is false
+            "return_first": "true",
+        },
     }
-    # get results from api
-    resp = requests.get(HOST + "/api/treebuilder/", params=params, verify=False)
+
+    resp = requests.post(
+        url=f"http://{HOST}:{PORT}/api/tree-search/mcts/call-sync-without-token",
+        json=params,
+        verify=False,
+    )
     retro = resp.json()
 
     # go through results and save them
-    if "trees" in retro:
-        if (len(retro["trees"])) > 0:
-            for num_tree in range(0, len(retro["trees"])):
-                if len(retro["trees"][num_tree]["children"][0]["children"]) == 2:
-                    plausibility = retro["trees"][0]["children"][0]["plausibility"]
-                    child1 = retro["trees"][num_tree]["children"][0]["children"][0][
-                        "smiles"
-                    ]
-                    child2 = retro["trees"][num_tree]["children"][0]["children"][1][
-                        "smiles"
-                    ]
-                    cur_children1.append(child1)
-                    cur_children2.append(child2)
-                    cur_plausibilities.append(plausibility)
+    if len(retro["result"]["paths"]):
+        pass
+        # find reactions
+        for path in retro["result"]["paths"]:
+            reactions = [node for node in path["nodes"] if node["type"] == "reaction"]
+            assert len(reactions) == 1  # max depth == 1
+
+            children = reactions[0]["precursor_smiles"].split(".")
+
+            # only add if askcos could retrieve 2 children for reaction
+            if len(children) == 2:
+                plausibility = reactions[0]["plausibility"]
+
+                cur_children1.append(children[0])
+                cur_children2.append(children[1])
+                cur_plausibilities.append(plausibility)
+            else:
+                cur_children1.append(None)
+                cur_children2.append(None)
+                cur_plausibilities.append(0)
 
-        else:
-            cur_children1.append(None)
-            cur_children2.append(None)
-            cur_plausibilities.append(0)
     # if no results retrieved save None/0
     else:
         cur_children1.append(None)
         cur_children2.append(None)
         cur_plausibilities.append(0)
+
     children1.append(cur_children1)
     children2.append(cur_children2)
     plausibilities.append(cur_plausibilities)
@@ -640,57 +660,107 @@ def compare_mols(para_result, pairs_frags_smiles):
                     if child1_mol.HasSubstructMatch(
                         frag1_mol
                     ) and child2_mol.HasSubstructMatch(frag2_mol):
-                        result_df = pd.concat([result_df, pd.DataFrame([{
-                                "fragment ids": frag_ids,
-                                "fragment 1": cur_frag1_smiles,
-                                "fragment 2": cur_frag2_smiles,
-                                "pair": cur_pair_smiles,
-                                "child 1": child1_smiles,
-                                "child 2": child2_smiles,
-                                "plausibility": cur_probs[num_cur_smiles],
-                            }])], ignore_index=True)
+                        result_df = pd.concat(
+                            [
+                                result_df,
+                                pd.DataFrame(
+                                    [
+                                        {
+                                            "fragment ids": frag_ids,
+                                            "fragment 1": cur_frag1_smiles,
+                                            "fragment 2": cur_frag2_smiles,
+                                            "pair": cur_pair_smiles,
+                                            "child 1": child1_smiles,
+                                            "child 2": child2_smiles,
+                                            "plausibility": cur_probs[num_cur_smiles],
+                                        }
+                                    ]
+                                ),
+                            ],
+                            ignore_index=True,
+                        )
                     elif child1_mol.HasSubstructMatch(
                         frag2_mol
                     ) and child2_mol.HasSubstructMatch(frag1_mol):
-                        result_df = pd.concat([result_df, pd.DataFrame([{
-                                "fragment ids": frag_ids,
-                                "fragment 1": cur_frag1_smiles,
-                                "fragment 2": cur_frag2_smiles,
-                                "pair": cur_pair_smiles,
-                                "child 1": child2_smiles,
-                                "child 2": child1_smiles,
-                                "plausibility": cur_probs[num_cur_smiles],
-                            }])], ignore_index=True)
+                        result_df = pd.concat(
+                            [
+                                result_df,
+                                pd.DataFrame(
+                                    [
+                                        {
+                                            "fragment ids": frag_ids,
+                                            "fragment 1": cur_frag1_smiles,
+                                            "fragment 2": cur_frag2_smiles,
+                                            "pair": cur_pair_smiles,
+                                            "child 1": child2_smiles,
+                                            "child 2": child1_smiles,
+                                            "plausibility": cur_probs[num_cur_smiles],
+                                        }
+                                    ]
+                                ),
+                            ],
+                            ignore_index=True,
+                        )
                     else:
-                        different_structure_df = pd.concat([different_structure_df, pd.DataFrame([{
-                                "fragment ids": frag_ids,
-                                "fragment 1": cur_frag1_smiles,
-                                "fragment 2": cur_frag2_smiles,
-                                "pair": cur_pair_smiles,
-                                "diff child 1": child2_smiles,
-                                "diff child 2": child1_smiles,
-                                "plausibility": cur_probs[num_cur_smiles],
-                            }])], ignore_index=True)
+                        different_structure_df = pd.concat(
+                            [
+                                different_structure_df,
+                                pd.DataFrame(
+                                    [
+                                        {
+                                            "fragment ids": frag_ids,
+                                            "fragment 1": cur_frag1_smiles,
+                                            "fragment 2": cur_frag2_smiles,
+                                            "pair": cur_pair_smiles,
+                                            "diff child 1": child2_smiles,
+                                            "diff child 2": child1_smiles,
+                                            "plausibility": cur_probs[num_cur_smiles],
+                                        }
+                                    ]
+                                ),
+                            ],
+                            ignore_index=True,
+                        )
                 else:
-                    result_df = pd.concat([result_df, pd.DataFrame([{
-                            "fragment ids": frag_ids,
-                            "fragment 1": cur_frag1_smiles,
-                            "fragment 2": cur_frag2_smiles,
-                            "pair": cur_pair_smiles,
-                            "child 1": None,
-                            "child 2": None,
-                            "plausibility": 0,
-                        }])], ignore_index=True)
+                    result_df = pd.concat(
+                        [
+                            result_df,
+                            pd.DataFrame(
+                                [
+                                    {
+                                        "fragment ids": frag_ids,
+                                        "fragment 1": cur_frag1_smiles,
+                                        "fragment 2": cur_frag2_smiles,
+                                        "pair": cur_pair_smiles,
+                                        "child 1": None,
+                                        "child 2": None,
+                                        "plausibility": 0,
+                                    }
+                                ]
+                            ),
+                        ],
+                        ignore_index=True,
+                    )
             else:
-                result_df = pd.concat([result_df, pd.DataFrame([{
-                        "fragment ids": frag_ids,
-                        "fragment 1": cur_frag1_smiles,
-                        "fragment 2": cur_frag2_smiles,
-                        "pair": cur_pair_smiles,
-                        "child 1": None,
-                        "child 2": None,
-                        "plausibility": 0,
-                    }])], ignore_index=True)
+                result_df = pd.concat(
+                    [
+                        result_df,
+                        pd.DataFrame(
+                            [
+                                {
+                                    "fragment ids": frag_ids,
+                                    "fragment 1": cur_frag1_smiles,
+                                    "fragment 2": cur_frag2_smiles,
+                                    "pair": cur_pair_smiles,
+                                    "child 1": None,
+                                    "child 2": None,
+                                    "plausibility": 0,
+                                }
+                            ]
+                        ),
+                    ],
+                    ignore_index=True,
+                )
 
     return [result_df, different_structure_df]
 
@@ -1023,7 +1093,6 @@ def get_pairs(valids, bonds, fragment_library):
 
 
 def checkvalid(data, fragment_library):
-
     """
     Function for checking if the fragment pairs are valid and can build connections.
 
@@ -1079,7 +1148,6 @@ def checkvalid(data, fragment_library):
 
 
 def get_valid_pairs(fragment_library):
-
     """
     *copied and adapted from kinase_focused_fragment_library*
     Function preparing the fragment library to build pairs.
@@ -1158,7 +1226,6 @@ def get_valid_pairs(fragment_library):
 
 
 def get_tuple(fragment, dummy_atoms):
-
     """
     **copied from https://github.com/volkamerlab/KinaseFocusedFragmentLibrary/blob/b7e684c26f75efffc2a9ba2383c9027cdd4c29a3/kinase_focused_fragment_library/recombination/classes_meta.py**  # noqa: E501
     For a given fragment, returns:
@@ -1197,7 +1264,6 @@ def get_tuple(fragment, dummy_atoms):
 
 
 class Compound:
-
     """
     **copied from https://github.com/volkamerlab/KinaseFocusedFragmentLibrary/blob/b7e684c26f75efffc2a9ba2383c9027cdd4c29a3/kinase_focused_fragment_library/recombination/classes_meta.py**  # noqa: E501
     Represents a combination of fragments including its dummy atoms
@@ -1223,7 +1289,6 @@ def __init__(self, frag_ids, subpockets, ports, bonds):
 
 
 class Fragment:
-
     """
     **copied from https://github.com/volkamerlab/KinaseFocusedFragmentLibrary/blob/b7e684c26f75efffc2a9ba2383c9027cdd4c29a3/kinase_focused_fragment_library/recombination/classes_meta.py**  # noqa: E501
     Represents a single fragment from the fragment library
@@ -1245,7 +1310,6 @@ def __init__(self, frag_id, subpocket, ports):
 
 
 class Port:
-
     """
     **copied from https://github.com/volkamerlab/KinaseFocusedFragmentLibrary/blob/b7e684c26f75efffc2a9ba2383c9027cdd4c29a3/kinase_focused_fragment_library/recombination/classes_meta.py**  # noqa: E501
     Represents a single dummy atom
@@ -1276,7 +1340,6 @@ def __init__(
 
 
 class Combination:
-
     """
     **copied from https://github.com/volkamerlab/KinaseFocusedFragmentLibrary/blob/b7e684c26f75efffc2a9ba2383c9027cdd4c29a3/kinase_focused_fragment_library/recombination/classes_meta.py**  # noqa: E501
     Comparable representation of a combination of fragments
@@ -1325,12 +1388,9 @@ def save_fragment_library_to_sdfs(path_output, fragment_library_concat):
     path_output.mkdir(parents=True, exist_ok=True)
 
     for subpocket, fragments in fragment_library_concat.groupby("subpocket"):
-
-        with open(path_output / f"{subpocket}.sdf", "w") as f:
-            w = Chem.SDWriter(f)
+        with Chem.SDWriter(str(path_output / f"{subpocket}.sdf")) as w:
             for mol in fragments.ROMol_original:
                 w.write(mol)
-            w.close()
 
 
 def save_filter_results(fragment_library, columns, PATH_DATA_CUSTOM):
diff --git a/notebooks/custom_kinfraglib/1_1_custom_filters_unwanted_substructures.ipynb b/notebooks/custom_kinfraglib/1_1_custom_filters_unwanted_substructures.ipynb
index 61cac68b..b1b029ca 100644
--- a/notebooks/custom_kinfraglib/1_1_custom_filters_unwanted_substructures.ipynb
+++ b/notebooks/custom_kinfraglib/1_1_custom_filters_unwanted_substructures.ipynb
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "c24e7dc4-afc4-4772-be1f-155087b05cbf",
    "metadata": {},
    "outputs": [],
@@ -71,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "5967ce54-bb46-4c7e-852b-3a1ed4e5f3d3",
    "metadata": {},
    "outputs": [],
@@ -82,7 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "174eac8e-3fb8-4ab9-922b-3b8c3261da77",
    "metadata": {},
    "outputs": [],
@@ -101,7 +101,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "4ed1f90b-ae70-41ea-8bb4-37badd690584",
    "metadata": {},
    "outputs": [],
@@ -124,7 +124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "f711a629-fd58-44aa-8d81-2e0a89d8c08d",
    "metadata": {},
    "outputs": [],
@@ -134,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "9fb8799f-c2a5-49bd-8663-d22043fd34c2",
    "metadata": {},
    "outputs": [
@@ -144,7 +144,7 @@
        "dict_keys(['AP', 'FP', 'SE', 'GA', 'B1', 'B2', 'X'])"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -156,17 +156,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "f06d329f-d81b-4141-a438-d792a82aee07",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(7486, 15)"
+       "(9505, 15)"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -191,7 +191,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "8bd9d998-40f4-4ab9-9013-c0c39d914a9f",
    "metadata": {},
    "outputs": [],
@@ -201,7 +201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "e6e0d5b3-cce9-4a4e-94bb-419a192b6272",
    "metadata": {},
    "outputs": [
@@ -251,15 +251,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -272,9 +272,9 @@
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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yJEjZ8+eHRsbm5CQcPv2bS3PGuXk5JD97xxpSyKRzJ4929DQEIC5uXlERERpaSnDMJcuXfL09CT9a1hYWE1NDeumWUSPhbV3714A48aNU3/p0KFDe/fu/eWXX+7fv8+F6ezsbKItduPy+fn5YWFhRFImJiZhYWElJc9kLm1qaoqNjTUxMQHg5OR05swZtkyzjh4Ly9vbG8DBgwcFsc6utgoKCsLCwsjpaiKpu3fvtndxRkaGsksODQ198OCBlta5QF+Fdfv2bQA9e/Z89OiRUD6woq2ioiKlpIyNjWfPnt2Z1U+5XB4XF0cWsmxsbP7zn/9oZp079FVYq1atArBs2TJh3dBGW8XFxRERESTDFpFUm3tjiouL27tDbm6ucnPH5MmTO+jk+EcvhdXY2EgOOFwV/CSrRtoqLy+PjIwkuycMDAxCQ0OzVZO4/4VyfOxgp6FCodi7dy9ZDLC0tNy7d6/mn4RV9FJYiYmJALy8vIR25Cmd19b9+/cjIyNJ2lIiqaysLPXL8vPz58+fr5xyPXdLY0lJyZtvvkm6rokTJ2q8AsEieims4OBgAHFxcUI70kJ2djZJsxMQENCmtioqKiIjI8mqpUgkmjx58o0bN9QvUx8f1YMp7ZGQkEDqZZibm8fGxjY3N2v1kbRD/4R19+5dQ0NDExMTjkIJGiOVSpXaUo24PnjwIDo6mmyfJ5K6du2a+ts7OT52TFlZ2bRp00jX5evrm5mZqdVH0gL9ExY5iTV9+nShHWmDVtqqqamJjY1VRv9fe+21P/74Q/1dnRwfO8+JEyfI0GxmZhYdHd3U1KTN3TRDz4SlUCjI1m+dLWeamZlJcv4OHjxYKang4ODfVQsv/UUnx0cNqKqqCgsLIytCL774Ypt9JKfombDS0tIADBgwgLcUcBoglUp79+5Nui5fX9/z58+rX6M+Pv7555+se3L69GlHR0cARkZGkZGR/BzGJOiZsEgG7KioKKEdeQ4LFy4EEB4erv5SJ8dHtnj06FFkZCRZwBaLxZcvX+bOlir6JKwOVp11jfnz5wP46quvVBurq6s3bdqkOj7yFof79ddfXV1dARgaGh4/fpwHi/okrD179uDZYsw6y9tvvw0gISFBtTE7O5uEptobHzmloaEhKiqqe/fu06dP5yF9nD4Ji6y8fqcPSX1INTn1J4wdO3b89ttvgrjEMAw59Na9e3cebOnN1uTbt29fvXq1Z8+eb731ltC+PJ+amhoA6scuVguVPA5A+15xgd6kMdq3bx+Af/zjH1oeueEH0jeQhz7dgU+v9ENYTU1N3333HQDuyrixC+kbhBVWXV3d3Llz16oUAKY9VmtOnDhRUVHh5eU1cuRIoX3pFHx+he1RVVV14MCBwypp8vmUu34Ia//+/QAWLVoktCOdgmGYuro6CC0sdXHTofAZbty4cfbsWRMTE64LbrHFo0ePmpubzc3NuS7k1DHqMuKzH9Wtp8InT54UFxerJqm6detWeXm5ra1tr169yLlN3UdHZu7qMuJzKBT4T0oqlWZmZmb9RW5ublNTU6vLLC0tKysry8rK4uPj586dK4irXUIXJlhoS0Z8Kp4/YVVVVakmqZJIJIWFhQqFotVldnZ2qik9nJ2dnZ2d4+Pj582bt3TpUg8Pj9GjR/Pms2bowiMh2pIRadHjobDViHbnzp1bt26RX7cqJiYmAwYMUE1SNWzYsDZzIsydO/f333/fvXv3W2+9dfXqVbLZSGfR8aFQ/4TFMExCQkJ0dHR+fr5cLm/1au/evd3d3T08PJRJqpycnNRznbVHXFycRCI5f/58aGhoWloap+XjtURHhsL2eiz9GwqjoqKSk5NJUsNWI5pYLO5kyfv2MDY2TkxMHDVqVHp6+pIlS0iSGd1Ep4ZCvZ+8KxSK+Ph4mUy2f//+mTNnmqnWeWaJXr16HTt2zNfXNz4+3tvbe9myZaybYAWdGgqFCjewFsc6ffq0TCZzdXWdN28ei6oqLS3dsGGDco4/bNiwAwcOiESiFStWkBxGOoiODIV/kwApCY7Pnz+f7LNmBYVCERQUtG3btujoaGXj22+/vXr1arlcPm3aNJKKXdfg8+HruW6o91j6JKzKysqTJ08aGRmRhFVsYWBg8OmnnxoZGW3dujUhIUHZHhsbGxwcXFlZGRISoszEpzvo1FAo1FMhO8KKj49vbGycNGkSOUHAIuPHj9+xYwfDMAsXLrx16xZpNDAwOHjw4KBBg27cuLF48WJ2LWqPTk3ehXoqZGcH6dChQwEkJycrW7Zu3RoVFXXv3j1W7k/OJjg5OVVUVCgbMzMzyf5xojzdgWxFTEpKEtYNck5Oeeq1ublZJBIZGBjwc0KaBWFdvnwZQN++fZUHIxsbG8m6HltHmhoaGkjAffz48ap1sI4fP25gYGBgYHDq1ClWDLECKZn5448/CusGyd1NsgEyDFNdXU26K36ssyCssLAwAKtXr1a2HD16FMDQoUO1v7mSe/fukYD7qlWrVNvJvN7Kykp36mORvflXrlwR1g1ytFqZP6y4uBhA//79+bGurbDq6+stLS0B3LlzR9kYFBQEDsq+Xbp0iQTc9+3bp2xUKBShoaEA3N3dHz58yK5FzXBzcwMgkUgE9IGs5RsaGioP5JBUdR4eHvw4oK2w4uPjAfj4+ChbZDKZoaGhmZlZZWWlljdXhwTczczMVPuD2traIUOGAJgyZYqwKVYI5AlGPQ3a8ePHeXOP1EexsrJStqSnpwPw9vbmxwFthfXyyy8D+LdKdfnNmzcDmDlzppZ3bo+lS5cCsLOzU038mp+fT2Z1mzdv5shu5yHr6K26T7JF2MfHR7Vr547y8vKRI0cGBAQoW86cOQPgtdde48E6o6Ww8vLyRCJR9+7dlb9EhULh4uLC6dS1qamJqNnHx0c1GcHZs2cNDQ1FIpGwCTnJw5dIJGrVOf3www+kJzM1NY2JieE/AwzJVhcSEsKPOa2EtX79egDz589Xtvz0008kLsBpn//gwYOBAwcCmDdvnmr79u3bAVhYWNy6dYs76x1TX18/atQoCwsL9ayN1dXVygwwXl5ebeaf4Q6yNNLqN8YdmgvryZMnpFyx6tFesi1906ZNbPjWEdevXycHDPfs2aPaPm/ePAADBw4UMEk1OQIJYNKkSepZG5VpFIyMjCIiIjpfFENL4uLi0E6eEi7QXFgnT54E4OrqqnzuqK6uNjc3NzAwKCwsZMm9jjh48CAAY2Nj1TwIDQ0N5Gk/MDBQwFRHHWdtrK+vj4yMJIUCXFxczp07x4NLJM/0ypUrebDFaCOskJAQALGxscqWzz//HMCECRPYcKxTvPvuuwBsbGxUc1YXFRWR2ODatWt580SdsrIyEgdBO1kb09PT+SlhUlhYSApeODo6kjFad5OCVFRUmJqaGhkZqT6ajRgxAsCRI0dY8u35NDc3T5o0CcDw4cNVKwmcP3/e2NhYJBIlJiby5kybdJy1UbWESb9+/VJSUti1TqoTGBsbk66dPFe1N0azi4bC2rlzJ4A333xT2ZKRkQHA2tqa57pnlZWVLi4uvr6+qsuIDMOsWbOmT58+/OSC6pjnZm1sVcKk1QfRjPZS5SYkJJC4DNeZlTUUFll1Vv3awsPD+ZwbqlJYWNjY2NiqkRybjoyM5N+fNuk4a2OrEibx8fEaG1JPlSuVSlUvKCsrI4kR2xujWUETYZEYro2Njfqq8/Xr11l1T0Pq6urI5hBh11VaoZq1cfDgweoVN/Py8l599VXylWtQwkQ1Va6BgUHHqXK5zqysibDIFqg1a9YoW44cOQJg5MiR7DmmFSRm4+fnJ7QjbXDx4kV3d3fy3YeFhbWqNqBQKL744guyF8/a2rqTK9mapcqtrKxUHgAeOXIku3+EXRaWctVZ1Q+SwO6LL75g0TNt8PPzA7B//36hHWmbhoaG6OhoMqceOHCg+ipFSUnJlClTBg4c+NziPNqnyiVjdEBAgL29fUxMjPqkQjO6LCyyDDx27Fhli3LV+b///S8rPmmJVCoViUQWFhY6XoP0xo0bJCuTSCSaPXu2+pq9citVmxBJkT9yIimNQ/k1NTVbtmzp37+/nZ3dyy+/zEoW5y4LixRSV80HvGnTJgCzZs3S3htWiIyMBLBo0SKhHXk+crk8NjaW7AWytbXt5KbT2tra2NhYKysr5QS8gwLpnefq1av+/v52dnb9+/dfs2aNlksCXROWctVZtTM4ffr0pEmTfv75Z238YAu5XE7Wei9duiS0L50lJyeHLKuTcEMHNYLq6uri4uJsbGyUkmI3av/48eOdO3c6ODjY2dl5e3t3UM7uuXRNWOvWrQOwYMECje1xzYkTJwC4ubnxEFxmEVJ2kOy3sbKyUl/AfvToUVxcnK2trVJSP/30E0fOSCSSoKAgOzu7fv36hYeHV1VVaXCTrgkrMTHRxsZm3bp1GljihylTpkD3jld0koKCgsDAQCKd4OBgsk7V2Ni4d+9e5fEnHx+fEydOcO1JU1PTp59+6ujoaGdnN3z4cA0eGLsmrG+//RZAt27dOK3SoTFlZWXGxsZGRkYdT3t1GYVC8dVXX5Epec+ePWfOnKlMrTN69OjU1FQ+nSkoKAgJCfH29m5VePvUqVMXLlzo+L1dnrwvWbKELGyprhLqCGQ/1ltvvSW0I9pSWlpKals4OTkB8PLySkhI4HNwr6mpWb9+fXh4eFJS0t27d1NSUiIiIrZv3y6XyyMiIjZt2vTxxx93XNGoy8JSbuAcO3YsWzEPtvDw8ADAw0jBD0lJSenp6cnJyfzPFyUSyZ9//tnc3Dx58mSZTDZr1iyFQrF79+6EhISHDx8uXrw4IiKi40VhTSLvZWVlZIvf0qVLNfWcfS5evEge2gWp+/h3ZeLEiadPnyah78zMzPfeey81NfXIkSMffvhhx4uMmqQxsrGxSUlJ8fPz27Nnz7Bhw8jgKDjKrbckok3Rns8//3z69OkGBgbKRC9Eap16s8ZaJhP5Vhs4haKuro6srwlYBfnvhFwuj4mJIVGPe/fuzZkzhzxVdH6zneZJQd55551Vq1bJ5fIZM2bcvXtX4/uwwtGjR2tra/39/cn6LkVLUlNTs7Ozc3Nz165dKxKJXn/99ZUrV5aWlpJtw51CG10/efKkzQ2c/OPr6wvg66+/FtAHiiraHlitrKwkWU3eeecdVhzSAOWq83P3AlB4Q9v8WNbW1idOnHjhhRcOHjxIDhjxD0nlMHPmzDZTeVOEgRV5Jicni0QiQ0NDnkPDDMPI5XKSjzk9PZ1n05QOYK1078aNGwFYW1tzVAn83r17aWlp6u0pKSkA3NzcuDBK0RjW0nFv3rz55s2b33///RtvvHH58mVt8hGql2rKyMi4f/8+gNLSUuUKP4GEr3QwYeT/OCKGYdi6V21tLcmmMnXq1KSkpE6mT25VqikzMzMvL0+9VJO1tbW7u/v+/ftJ9ilCeXm5vb09wzAymayV4CjCwmZlih49ehw7dszb2zs5OXnbtm0bNmxQv6ahoeHSpUtSqVQikUil0qysLPUYmIGBgZOTE6mP4u7u7ubm5unp2adPH/W7xcfHy+XyqVOnUlXpGmz2WISzZ88GBwczDJOSkjJ58uRWr+bl5ZHwhJLOl2pSx9PTMzMz8/vvv1c3RBEW9oUF4MMPP1y/fn2PHj3S09PFYrHqS83NzYGBgS4uLsoOqUulmpQwDJOUlBQaGmprayuTyYStZUpRhxNhMQwza9asI0eOuLq6XrlyRXmSRGPkcrlMJlMtd3jz5s26urqBAwfOmDHjww8/ZMVtCotwIiwADQ0N/v7+165dCwoKOnXqFEnZ00kqKytV5/JZWVlFRUXNzc2tLrOzs9uxY8f06dPpdgYdhCthASgqKho1alRFRcX69eu3bt3a3mX37t1TLbuan5+fn5/f6hojIyMHBwfVsqtDhw4luYoougmHwgJw4cIFkvL/8OHDM2bMaGpqysnJUZVRVlbWo0ePWr3L1NTUxcVFLBarzuhJlguKvsCtsADs2rVr5cqVpqamNjY2d+/eVUApHHIAAADISURBVC8CPWDAAGVMwc3Nzd3dXccr81I6A+fCAhAeHl5TU3PgwAFjY2N7e3vliObp6Tl06FDBixlRuIAPYQEoLS2tra11dnamcYH/EXgSFuV/DdYqrFIoqlBhUTiBCovCCVRYFE6gwqJwAhUWhROosCicQIVF4QQqLAonUGFROIEKi8IJVFgUTqDConACFRaFE6iwKJxAhUXhBCosCidQYVE4gQqLwglUWBROoMKicAIVFoUTqLAonECFReEEKiwKJ1BhUTjh/wGKSUZKA2JuYQAAAal6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAESAWA+IGRjYGDSDNzMLmAKUZ0GiYuEMGiGZmxCJAUIadAcxgYsSmCV0NB8RmJgYDDUYgg5EHSEhyAAnHkvxcv9KcHA0ZBm2YpAg2SW4GRhVmBiYtJiYmZh4GZhUWRpYMJkbWBCY2FWYmHhUWZgEFZkENJhb2BBYBBVaODCY23gQ2/gwmds4MJg7OBC6+DCYu/gRu3gwmbr4EIR4GTmEGEWZWZgZGFgE2Vg5OdhZGNi5+Nl5uPvFfIDfAA1V29SJb2/qV9iDOhbMT7a9nt9mB2JH1m/evX9wNFu//42TfbqflAGLvrpJzeGBRCBZPmtxuby8/bz+Ifafix/4WnXn7QOyIj3kO4db/bEFsXwcRh7/ZzAdAbMUrmQ7119aD1V89eGT/LDYLsLhpX+2B+qk/wOIfxcUOVFYLgO0qEYw+EHeWCyz+wdTxQOIXN7D6ZRPq9yff2wMW/9LD72CnLA1Wf+PMctuoS/Vg9vc3JQc29TKC2fGqcx3muvOA9YoBAEvAbciK5B1uAAACGnpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1Uy4pbMQzd5yu8LsToZdladJHHUEpJAk0621JKobPpav6fSvc2sYcxvc7Clo+kY+ko5fUXfP/5+8fLn90mxff1+OXlNT0+Om7cDv/5mVl6ZgDYnFJs0v7p0+dzOtx2+7vlcPl2vl0TQSJyH19vsbvb5XS3YDokyFBNqCXMTIJWwrJ83ZMchxnZwNivSakITXDsuC1mAfJQ7gHhwBOgLImroqomyqoAvnmPK46jLFWdmV87T6oywelCEIphK8GAuDDZBFhXhiaIraUtZIY2p9gcybkyS3NrRmfAdYKzhSKjCnlqchIs07cgLBG1cKkUJLj6mqVGXFkWrqhL0FaLwBQardlyNsUGZX0agc6ag5zOEYulkGegTKUWnjKVNahX2wSiSt5utCm0rFDAZlhjh9B0/v5okscyawy46KSWMq2pRzoHQSGrLQRALqlpzJYuYW5oLF5cs0o4Ewha+hDsGqkpe0jw4HWsaDrtrtePSA/Ng3tINn+PF9nrhi6uiu886JHj6Xx8M13rvO0v52Oft1g9hS9M3KcnbqXPiPh96aMQR+2Kd89Uu67jiNzV65G8jl2lFOc2iFE8ZBskh37uDhh4TTaoRyKLDCJZDDpIQSLv2HDxxDi2VZZMZejfatGhURLJeyKCf5aHFy11tOG5FIXEwI7NGEsf5/vfpO83fwEX6gl2rds+0gAAAa96VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxlkT9vGzEMxb9KRztQVP6TKJ7RIQiKbmmAjmmGRPBQFLGD1O2UD1/q2sGiccDhyN/To/juAenq8e7j7ebTLX7399ftXaeOvffNA8HV47bTdi17xw/vm2vOjarVRBlISNPumjJLIfQOFS3iHcwCxJQwg4Fx2kEGNVebt9iPjY5WrHX41Aqgq6ahMWvibKZuuHNHIWuuERLg0RCtJAmyu5H6LMzIPsM7VKkMZx9aDC35LYgLr6cYqyO/KRQWn8W5Fi46NKz+pJ1kQ58/NGjYVo0yS3NnJEHWdS8THNaQGZoNb/80aww4vETL//0LK+owa/8S4QzYzK/A2cdUXVtWsaXVlKCuHV/KZNj7Jughb9PT6fhy/3Z8XSD/+v38euw/96f87bOX+8OfH2/Hw8v+cMqHpwXP+M29l+e8LDRjmrAuPGMOWGYsE8a6lJmXyOvMa+Q6c428zbxFbjO3yBFCOnChiPnhheI8wi83o46/IKSIfOERgkQJvwlDkliiIESJNQpClqhREMLEFgUhTZzjLO9/AQKDOVNpH9oYAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
@@ -283,7 +283,7 @@
        "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -292,77 +292,77 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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hcuF3bvh7Fl49IjBVvCBUkYvDKPEJatOz549ra2t8/PzyYUaz6elM8ICAE9PCA2F4mIAAISA9hs8N2/efO7cOZyQAyceYgLafayioqKysjJeXbdAty3W1atXL1y4QC6pra3du3dvdna2ar2C2lpYuRKqqqB37zrJ1iIiYNAgaNcOQkJg4UIVG6nDpk2bVqxYweFwcL6hsLCwAwcO0NnAe2j3sRRqSOPCUmkdy8/Pb/To0eQSvJF56tQp1RZB0Ny5CAANHar43QcP3qWg+eEHFdt5Bz7fZ2BgcOjQIYTQ9u3b8UtlUg41lSlTpgDASfrymeDVztq617/gsxW3bt2iq5Wmoo3C+v77dzmx7t5t8DNxccjQEAGgmBhVmkIIoe+++w7L6MiRI/JCfKbKyMjo3LlzqjZQF5zV49KlS7TUVlNTAwCGhoaUcg8PDwBIpSXPU7PQOmH99hvicJCBAfpo2v3DhxGHgzgcdOhQs1t7l6LDwMDg6NGjBEGsXr368uXL+K1vv/0WAExNTa9fv978BurRr18/APgv+cICFaioqAAAc3NzSnmXLl0A4O+//6allWagqrCGDx9eTiI3N1cVYV2//m6Me39j10fYvh0BIB4PnT3b5LYIgli8eDE2S6dPn0YI4Rt+zczM8AhCEMT8+fMBoH37fikp0o/Vpyz07nPjm+vs7e0p5ThkLzs7m5ZWmoGqwlLotzVPWI8fo9atEQBavrwJT61ahQCQqSk1z1Hj4FvBsKrk+YDkSrKwsLh//z5CSCaTBQX9q0OHaoGAmqCr2Tg5OQEAXbtyeJ7k4uJCKbezswMADeZnU1VYw4YNKyCRmZnZPGEVFr677mbqVCSTNeFBgniXfsjCQtnMkQRBLFiwAACMjY0TEhLIb0ml0unTpwOAjY0NNipS6bvsgXZ26MmTJnSsIfB8sKEMRLIm/ecR+vvvvwGga9euClt58+ZNM3upMoz4WMePH1++fLnyX8rKysoRI6b27FnWty+qrGxyN6RS9OWXCAD5+NzJ/NgVlzKZbO7cuQDQqlUruTtFpqamxsfHBwAGDJiXlYUQQtXVaOxYBIDatUOqXEP5+PFjPz8/U1NTJycnypWZCKHy8vKFCxfOnj27SXWmpKQAgKenJ6Vc4VRRnTAirHnz5uFRJigoiJJFsz5SqRT/Ibt393z9upmuTHU1Cgm5BgDOzs55eXmNtDV79mysqkZiY8Risb//j9bWsvbtEa6sshINHowAkKsrKixscvcyMzOnT5+OUyDjP/mYMWMon8nOzsZHG5o0YcQhe15eXuTChqaK6oQRYf30009BQUEGBgYA0Lp16+jo6KqqqoYqCQsLAwCBQPBRY9M4VVVVgwcPBgBXV9eioqL6H5BKpTNnzsTueVJSUuO1VVaiQYPqKKm8HPXujQCQm1sTwlZzcgrmzp2LxWRiYrJ48eKMjAwbGxsAOHr0KOXDeDnN2dlZJBIpWf/ly5cBYOTIkeTChqaK6kQlYX377beUBMAikahnz57YGKSnp2NTBABOTk5CoZB81zxm06ZN+DdOy1JeeXk5Xr/p1asXxYmpra3FS+qWlpZKTvXLy5GnJwJA7u7vlPTqFerSBQGgUaM+/virV2jlStShQ62xsQWPx5s1a9bz58/xWwcPHsTfJYpzXVtbi6+qX7ZsmXL/YxQfHw8An3/+ObkQTxXt7OyUrIQJGI8gTUxM9Hx/z27Xrl1PnDghf+vkyZNcLpfD4Rw7doyu5l6+fIlD2Ly9vcXvc8NXV1dPmjQJAKysrO42suqqoDb06acIAHl5IfylePECeXqiU6cQAOrdG5G/Kd7eKDAQIYRev0bLliFTUwSADAzQypVXs7CzRgIvk86aNYtS/vDhQ0NDQwMDg5SUFGV6iI/lfPnll+TChqaK6kQdockEQZw4caJjx45YXgMGDLh58+a9e/fw3vvmzZvpbe6ff/7BUbm+vr61tbXV1dUTJ07Eg/K9e/eaWlteHurUqU4GVIJAWVkIABka1llv8/ZGX3+N1q5F5uYIAHE4yM8PNbRC2YhHtWzZMgBwd3enpB5VyKFDhwBgzpw55MKGporqRH0x7xKJJCYmRiAQAACHw8F3G3/zzTdMtJWeno4b+uqrryZMmAAAtra2Dx8+bF5t77MVfwALKyQEWVh8uNnA2xtNn46MjBAAGjkSfdTiNORRVVZW4i/hxo0bP9o3HIVBcUgamiqqE3UfphCJRNHR0WZmZq6urm5ubszNh+/cuSM/P25vb59G1/omQui9sO7fR717I/kohIfC2Fik5G6N3KNaXm9F+OrVqxwOx9TUtP6qBIUtW7YAwNKlS8mFCqeKakYzp3T2798PDJ9UQQgdOnTIxsbGxcWF9i0zLKzUVJScjDicdyeI5D6W8jTiUeEJ7LBhw8j53+sTEREBAGvWrCEXKpwqqhnNBPrhGxnu3r3LaBCwra1tcXFx586du3btylATQ4bAzJkQFgbNS9TYs2fPhQsXymSygIAAyv2r27Zts7Ozu379+uHDhxupQUuDsTQVQWphYdGnT5+ampobN26Qy589ezZixIgxY8bQ0gq+dbJDhw601NYQmzdDSQls3drMxyMiIjp06PDXX39RUlsJBIJ///vfALBs2bKXL1829HgjwtLsdawaC03Gae+vXr1KLrS1tb1x48b169ebaslwWCYFPOtuJFs6LdjbQ2QkbNgAr1835/FWrVrt27ePw+GsW7eOktpq5syZPj4+paWlS5Ysaehx1mJRGTFiBADgG2nlWFlZYUuG3U8lQQg5ODi0bt26qm6m26ysLGDeYgFAaCh06QLp6c18fPjw4f7+/mKxeP78+ahuJH9sbCyfz//tt9/++OMPhc+ywqIyYMAAPp+fnp5eWFhILldoyRqnsLCwqqqKx+NRjD8eCuXrZ8zB5cKuXcBV4Xcp96iOHDlCLnd2dl6/fj0AhIWFKTyfvWnTpgcPHvj6+pIL8RdMs8LSZO6G8ePHQ70tM5zawN3dXfl6sHnr168fpRwfEmTiiiyJBKWkUAMx0tNVin3AkrK2tqbs80il0j59+gDAokWLlKxK4VRRzWjy+BceDSnGaeDAgXw+Py0tDW94KYNCJ72oqOjt27cCgcDKyoqm/n7A2Jh6fAgAuncHVTItzpo1a8yYMfU9KgMDgwMHDvB4vJ07d965c0eZqlr0UAgAeL8ML7rIMTIyGjx4MEIoKSlJyXoUCks9U0J6EQqFfD7/119/pXhU7u7uS5cuJQgiODiYsiqhkJYurB49ejg4OOTn51My2Su0ZI2gN8Iie1SUefG6deu6des2ZcoU9LFzuhkZGfhXx2jOnI+jwWEYIeTv7w8AO3fuJBc+fPgQAJycnJSsBN8Kee3aNXIh/gutXr2arq6qB6lU2rt3bwBYvHgx5a3G96TFYvGJEydGjhyJ08tYWlq2b99eg1ewalhYODJp4sSJ5EKCINq0aQMAT5QLMndwcIB6xxNwpOi+ffvo7K5aePToEY/H43K5SsaNpaSkhISEWFpaYkthaWk5f/787t27A8CoUaPqx8CpBw0L68WLFwBgbm5O+TrioLzY2NiP1lBVVcXhcIyMjCi/QRxNevXqVZp7rBZWrFgBAG5ubo1YqYqKCqFQKI91A4DevXsLhUIcK5Gbm2trawsA//rXv9TY8Q9oPlUkPlpJ+XbivAmTJk366OPp6ekA0LlzZ0p527ZtQaMH61RBfiH5jz/+WP/dlJSUoKAgeeyGlZVVUFDQo0ePKB9LSkoyNDTkcDg0HudXHs0LC8e8/1A3DUNeXh7+lX00rgbH5o4bN45cKBaLuVwuj8fT1ECgOvh2CWNj44yMDFxSWlpKuYrcy8tLKBQ2cp4A7zbihWh1dfwdmhdWXFwcKAqhwRHGd+7cafzxrVu3AsCCBQvIhY8fPwYAV1dXmvuqXubMmQMAQ4cOvXz58qxZs+TLBw4ODitXrqwf7qwQ7Gt27ty5vLyc6Q6T0byw3rx5w+PxjIyMKIGU+ExpRERE44/jA81btmwhF+J1oPpHrHSL4uJiOzs7eRJRQ0NDX1/fP/74o0lmuKqqCk8zfX19m3oaVhU0n3jN3NxcYQgNXs26cuVK44/rzSJWfQQCwVdffSUQCCwtLbGJio+P9/HxwefqlMTU1PT06dM2NjYJCQmRkZHM9ZaC5oUF7zeeKRry9vY2NDS8c+dO4yE0OISBstOsnoAZNWBjY1NcXBweHo5vJGxeJc7Ozr///ruBgcH3339/9uxZenvYENorLGVCaBBCOTk5UE9DCtWmi5SVlQEAvsJEFUaMGBEVFUUQREBAgOr5FpVBK4TVv3//5oXQFBQUiMViOzs7SuZF/RgKAaC0tBToEBYArFixYt68eT169AgICKDxUvGG0AphGRkZ4VkhZeNZYTAgGYUCQu9PbOqBsLDFsqbjlgQOh4NTYGZmZoaHhyPacwPXRSuEBQ246h8NoWkoYKaqqsrGxobpXOpqAFssWoQFAGZmZgcOHLCwsLh48eKuXbtoqbMhtEVYOISGYpxwCE337t0LCgoUPqXHU0IMjUMhpn379kKh0MDAIDo6WvnApGagLcJqKIQmLi4uLS2NvCNGRqGG1BbqrgZoHArlDB06dMmSJTj7HJ76MIG2CAtfWAX1RsPG72bGzr5Ci6UHU0KgeyiUs2TJEh8fn4qKinnz5lFOoNCFtggLGlh0aJwrV64UFxcPGDCAXKg3i1hisVgikZiYmOA8FzTC4XBiYmI6d+6ckZGxfPlyeivHaJGwsJuVlJSkTPStHIFAQLFqeuNjYXOFs5vQDp/Px458XFycUCikvX4tElbbtm27dOkiEolwspRmozc+Fu2eO4WOHTvu2LGDw+FERkYmyy9wpwntumF15MiRT548CQ8P9/b2trS0tLKysrKyovzQ+CKCWCwuKioyMjLCWa91GiY8dwqjR49etGjRtm3bwsLCbt++bWFhIZPJxGIxPjmnCtolLABwcnJKTU1NTU1t6ANcLtfS0rJ169YKZVdZWYkQcnFxadJOrXbCkOdOYfny5c+ePRs7diz+xv755587duygnJttBlokLJlMdvbs2RcvXixatMjR0bGiogLfdkH54e3bt2VlZfjbrBAbGxvVv3DaABND4enTp/GGdGho6NChQ69du7Znzx4ej+fg4CCRSGbPnj1t2jRLS8uNGzfa2dnhvOXNQ4uEFRcXl5OT4+rqGhMTw234vLpUKpVLraysjCK7kpKShISEBw8exMXFffHFF+rsP+3QbrFKS0vv37//888/V1RUjB079uLFi0uXLj19+rSRkZGfn9/58+dXrVp18ODBe/fu+fr64jTBzUaLhBUbGwsA4eHhjagKAAwNDQUCQSNzpd27dy9YsGDRokWjR4/WbCofFaErtEGOtbU1zk9ZUlJiZmaWn5/fpUsXPMv57LPPUlJSrK2tCwsLlyxZkpCQgDfZmo/aQgobJz09ncPhmJubqx5BK5PJcLKD9evX09I3TREaGgoAu3fvprfapUuXdu3a9cyZM2KxePDgwYcPHz548OBnn3124sSJzMzM1NRUqVSKb61SBW0RVlBQEACEhYXRUtvt27dxDk95anVdZOHChZaWlr/99hvtNVdUVPTt27e4uPjly5dHjx69dOlSYGBgcpOuufoYWiGssrIyMzMzDocjP5GiOrNmzQLlDpBpFWKxeOPGjZSctnfv3lXmiOVHkUgk+GpMmUw2aNAg+dm4oqKi/v37v337VvUm5GiFsHDqX8rtKSpSVFSEDwefP3+exmqZpri4GADi6t4CumHDBltbW9Urr6ioCAgImD59uo+PT3R0NEIoMDDQz89v/PjxN2/eVL1+MpoXFkEQnTt3BgDKDW+qs3nzZgBwdXWV1M/Urq0wKixMdXU1+bSm/P4OetH8ls65c+eePn3q7OyM87DRyOLFi93c3J49e4YjJ1kwRkZG+NIoDO073BjNC2vnzp0AEB4eTvtauaGhIT7OGhERkZ+fT2/ljPL69et/SOA71XQMJsyg8jx9+pTL5bZq1TgYXF0AAAX9SURBVKpE+ZvamsiUKVMAwN/fn6H66QUPhfWhcShUDxq2WDt37iQIYubMmcztiG3dutXMzOzYsWO0b+Azx8mTJ8UkcE5R3UKTwhKJRHizE5+mZ4h27drhrEBhYWFSqZS5hmiEx+OZkCC7RLqCJoWVlJQkEomGDBni7u7OaEMrV650dXVNT0//6aefGG2IRY5ahXX8+HEchYeZOHHilStXxo0bx3S7xsbGeKnsu+++e928CyRYmohahTVjxgzKsebs7OxVq1apoWlfX9/x48eXlZWtWbNGDc01Gx6PN2zYMJyMT46zs/OgQYM01aVmotaZApcrFArJJThzn3paf/bsmbGxMZfLbdLtvSzNQ/PrWGqjU6dO8vN0BEFoujt6jrqFhRAiSCCGMwhQWLt2rbOzc2pq6s8//6zOdlsgHHX+aQ0MDBSaCnX24ffff//qq6/s7OwyMzOZuA2FBaNuixUREfGUxIYNG9TcgenTp3t7e7969QrfMMDCEOoWlp2dnSsJOzs7NXcAAHbu3Mnj8WJjYx89eqT+1lsILch5l9O9e/fQ0FCZTIYDVmmp89mzZytXrqRc9Hr06NFDhw7RUr/O0RKFBQAREREODg63bt06fvw4LRU+f/5806ZNFGHFxcWdPHmSlvp1DrUKq1OnTvIrXzAWFhYaSQtjYWGBUwgvX768qfdPsyiDWoWVmZk5bdo0csnUqVMpN2yrjblz5/bv3z8/Pz8qKkojHdBvdG/bnC44HE5sbGzfvn1jYmLmzJmDL8JQkfT09FevXslflpeXN57fS49R6zqWFjJ//vz9+/ePGjWKctFrI5SXl+PAzpycHPxDbm7uunXrfHx8TE1N5RdJAEB1dfXo0aPPnz/PTN+1mpZrsTDR0dFnzpxJTExMSEig3AVfVlZWUFBQWFj4vC4K00aUlJQAwNOnT8lZbqZOncpQvjztp6ULSyAQrF+/Pjw8PDQ0NC0tLT8/H5uinJychjTB5/OdnZ1dXFzk/zo7O7PROBRa+lAIADKZDN+FhK2OHBMTE0dHxw4kHBwcHB0d27dvTx7vMJcuXRo7dmxeXl59i8UOhS2UwsJCiUQikUgmTJgwZswYFxcXbIf0IE28BmGFBVFRUWZmZgKBIC4urtnR5W3atJkyZQoluc2AAQOqq6vp6KPu0dKHwhs3bkyePLm0tDQ5ORlfI81CC/pvsWpqarZt2+bm5jZu3Ljc3NwjR45IJJJJkyZ5eHhERUVlZWVJpdKhQ4ey6+/0ov97hTt27Hj48OH169cJgvjmm2/69OnzxRdfhIaGFhQUtGnT5vz58yYmJv369XNwcNB0T/UKPbdYGRkZN27cWLBgQVJSEpfL/eOPP/CEzs3NLScnJz09nSCITz75xNHRsVevXprurF6hzxaLIIjVq1dHRUXJc09iVUkkkidPnrRp0+bIkSOVlZXbt2+vqKiQyWQa7ay+oc8W68CBAw4ODhYWFmlpaSKRSCQSmZub48MU8+bN++WXX8rLy8eOHevl5eXl5aXpzuob+iys6upqPp+/a9eu/Pz8Fy9ePH78uGvXrgsXLhw4cODUqVNdXFwAQMuPGeou+iyssLAw/ENiYuKVK1e6des2ZswYY2Nje3v7yZMnV1ZWDh8+XPcOguoILWId682bNyKRyM7OLiMjAwDEYrGvr29xcfHVq1eHDRum6d7pJ/psseRYWFjg/RmcfWTTpk2vXr0aOHAgqyrmaBEWi4xEIunQoUNhYeHly5fxRXYsTKDPyw0KOXv2bGFhYb9+/VhVMYqeD4X//PNPenr6hAkT5CVTp07du3evmZmZBnvVEtBzi3XhwoVJkyZRCvfs2XP79m2N9KfloOfCYtEUrLBYGIEVFgsj6LnzDgC1tbWUwE6JRDJgwABN9aeFoP/CMjQ0vHXrFrnE399fU51pOei/sDgcjqenJ7nE1NRUU51pObA+FgsjsMJiYQQ9F1arVq3s7e0phQKBgD0zyDQtbhOaRT3oucVi0RSssFgYgRUWCyOwwmJhBFZYLIzACouFEVhhsTACKywWRvh/RWvfnwUDP44AAAJgelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAABkglgPiBkY2Bg0gzcwCoxnBNCOGOBuDApCGS6Mrw8l3II+PLs4OMZcZTitogcQRCmESDAYajCAZkLQkB5BwLMnP9SvNydGQYdCGSapjk+RmYFZhZhBVYWGQ1GJiYhKVYGRiYBTVYGIUU2Bm0WBiFldgYWVg4VBgZWNgZWfg4GTg4NJg4uJm4BJX4OFl4OHLYOIRTuDjZ+CTSBAQZBAQShCQyGASEs5gEhZhEBPXYJKQVGFmlWIQkmYQYWZjFBMH2sXKwizOxcHGIywkIMEnHgV0G9h54BjilM6zzxea7ug9U83pivZT24fcyx3PL9N04t66zPbogvWO3lqaTjcai+0klk109Lig5bT9YoPtGt12x5AtOk4rTH3tLdKrHHVEtJ2YZp2wm/4/x/FVqK4Tt9tbe+aKGkdXCR2nf85R+5MWtjtuFDB0sg+fvf/C1QbHm37GTqpsM/fLvJ7oaP3B0OnC1Xf7oy9PcUz+b+LEdd3ZQf7LAsf4dnEnljA3h4n8Kx1duMWcwmrFHArXzHMM1JZxWlLw1j6YdamjQ7CcU/Ysa4dIth7HX3bSTpHi5g5Z95odS5bIOLF/yHJYF9HnGL9SzCn/Q67D19szHF1OizhNWNDhkLdllmONkaDTp0ux9v8OL3TMllJzOuIku/+04mLH2H26TqsSWPbvVp/hWCCv57SHVciBT3eKYxGXnFNs7ln7gviJjg9PKzndVTGzt/ErdbTLUHV69LLfIY2jzfGtnIiTGAAibqKR/Fb3YQAAAvZ6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VbtOXEEM7fmKqSMx8mseLigWFpEoYZECoY0iioQiqfL/ise+u3emCUuxY46PX8em//z99v3t14/3P4erNH6+Hj+//02XHz5emR3+86uq6ZUB4OoxjS/p9v7h0yndvRxuz5a7p2+nl+dEPdnDPyv28PL0eLZgukuQlQHBHj33LsadBHMVbTD5kiMRUc1KYEjoA0lZkHRGcvpoSOgoA4lZC5dAkiLPSHFO4tYjOkHFQDZgmZHFkVA9EtbctQ0m4YzNfS7I6sgOWAey5FqANs66VtQ8T1b06JI7kgQnMy8VdUNi7oVbcLamW3QgXjjVol9b+EI1ErXivU2SqdaleARjvcZMyBsWQSSwnRos2DEnw6KWsrWKdeOVLnXBUvD2WjSwFdhbUDKJLm1FNl6rwghiqjbeAeVm8yVaoGK0BlWFGCuy12jQgrhmO6ZFmYsrADV3FmfVDEJrE+rW2rIlUKnVgJa+igWbsyq7GS0s8Jg8m2oRywIdAyPrgEvUOiudN1aTxdot9Q7UBhqsNlqOsmotS7MIHNow5Gpc0CSgqH1JgNASGCPXGlDm7rlW2wFdyiJKpyFYixYdsLa3WMFCpS9QNqipq6JwYE28JYQoXBbJkgS2YMNIAVA3eRf2CFbOx4cbTK+HLzdy8YvZUY/96ZYEwTYQhEURVC2EHQqQTWcWajiJZai6LCW19MGKbDEn2yDmgOJQiReZHg/PzzdCF5duLqbuWHSbYSuC0W3gSCRcWM8u96fjctzi3N0+nY77uRufvVh/Eu2Xa1io7vfJXon3I0TjQ/upGX8m3g8KmUvZr4aFskHstwGNok77P9467TgaZZv2eLz7tKs4OOaNpGHAae/QaWhaL7fsSdgWoVPJtCziljLthFtolj46fZ0ULsNCZRIyOn2f9Cpu0UmVbpm8yrDoHMvbOiJM6hltnqqg0Vtz3UdF6t2iS/ti2kbcZ3nMYhjv8/9N+371D9x9bU3EZUYeAAACdHpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF2SPXMTQQyG/wplHI5FX6uVfJOCyQxDlUnB0AQXweOCIbEzwVDlxyNdKHJq1t731WmlR7pjv9ztcX9x92W3WZ8fb66u6Xscy/3m6u7m/Y5fL/+164v4FbrcbZbrq0O82WP8ffdyIU188ITaRheceDRgoJmbDvAJRxvOnLJql5AHDpvQG8KQlNGtz9JIXVNmtkiijdw5okEngobolLFmlJnBfSJsyKSpdsSZGneUTGAsEesNhHjGZr1nBqWhqXZDjmAyjNesdVpiO0bF2BTEU8URrsRH7jhDcwZM2UwmiajoN1SLfjIzEYyUO3Wbs1T0lM3AJqEmSB4yWFQXNXvnnjJ51PEhnkDhDGfH0LkJd0+9Rw3ZDaBL6p1hzB+iZ49+ohZij/TB3kRTN+1L6QpMk/RG4pJ5rAejmE28u8STKmc8IS86gkjqRtkTKHmqlhONV3FoAjBIWr1pB8rihy4EBkbNITMnLswJJIFoJQYcKZGW0pnZl0HwyOgR+5AyEGeSOG1pCBSX3MASA3JGzuXpwLEOwT7eCtk0qEaBYryMExV0M92fT4+3z6enLbTff348nfa/Duf2+Tauh+Pfn8+n4+PheG7H+y2+8T/dxvWtj7qltU8rX7a8trnYsral2H1t92Lr2tZij7U9im1r24rta9uLjVDAQA2o5LAGFHRY2WGBh5UeFnxY+cXuPJ4evp7O3+4fDsf94VVaf1OhYqGKFSsWrljBYiGLFS0WtljhUoFLFS4VuFThEq33mqguNhW6VOlSoUuVLhWUVFFSQUkVJRWUVFC+/AMTS9sqgKKOVAAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
        "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAASyUlEQVR4nO3dfVBTZ74H8G94C9EQoAJKFSziFV9bFLWola2Kur3s1rVKx5da9WrTO611etvpxu1u59bOdiZbO73t1t1prFURXTtMO1asbpWK1pVVaxARUXynCAVUhBBIgJD87h+HQoiRN/MkEH6f4Q94OOc8P/Sb8zx5zkkiIyIw5mo+ni6AeScOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTthsJk+X0Of5ebqAXsRiKbt16w2D4aDNVufrGxIS8uxjj6V5uqi+ioPV5saNJRZL+YgRX8rlI5uaihsbr3u6oj6Mg9XCaq2uqzsxfPiW4OAUAIGBcZ6uqG/jOVYrH8DHaDxOZPV0Jd6Ag9XC1zc4LGztvXu7Ll2Kr6z8v+bmO56uqG+TEZGna+g9qKZmf1XVDoPhIEBDh2oHD/4fT5fUV3GwnLBaq3/66aXq6r3jx1+Wy0d6upw+iYMFwEZkkcnk9k0NDZcKC8fGxu5taiq12eoHD35TJuMnOt3Q3+dYVqvx+vXFxcVrALJYKlrb6+pOAvDzCykr21BWtqGoKNFszvdcmT138OBBj/Tbr4PV0HClqOjJmpq9tbXfGQzfFhREXbkyu6Tkv69fX1hS8vIjjyxTKp8eOfKAXD7SZMq9dGlyWdkGokZPV90NH330UUpKytKlS00md19L6L9DYW3tdzduLLVaaxSKCbGx38jlI0ym3Nraw01Nt3x8lErlUyEhvwVkAGw2U3n5e5WVHxJZ5fKRw4dvDQr6lafL75IDBw4sX77cYDBMnDhx7969w4cPd1/f1B/Zysu1ubm+ej2uXv1tc7OhK/sYjTkXLozR66HXy4qL1VarUXSVPXPy5Em1Wp2bmyv9WFRUFBcXByA8PPzYsWNuK6PfBctqNd+8uULKR2mphsjarX3Lyv43NzdAr0dBQYzBkCWuzu6qqqrS6XRPPPGEdL545ZVX7H81d+5cAAEBAZ9//rl76ukoWB99RA4Rr6qi996j69cdt7xwgbRaOn26XeO2bZTVi/7liYgaG0suXkzQ65GXF1RdvbdnBzGZ8i9enCxF8+bNFRZLlWuL7BaLxbJv374FCxb4+/tLkYqMjPz9739fVFRkv1lzc7NGo5E2UKvVTU1NogvrKFgREfTOO+1arlwhgA4dctwyPZ0AGj6c6uraGp94gtavd1WdLmA0/nDuXIRej4KC/zCbCx/mUDabpbxcm5sr1+uRnz+kuvprVxXZdUVFRRqNZsiQIVJcfH19k5OTMzIyNm3adNrhIf6L3bt3KxQKAE899VRFRYXQ8lwcrD/8oa2xVwXrzh1dbq6/Xo+rV59pbq52yTHN5ouXLk3T66HX48aNJTU1t11y2I4ZDIa0tLTk5GSZTCZFavTo0VqtVgrKkSNHZDJZYGBgWlqa091zc3Ojo6MBDBs2TK/Xi6vTlcFKT6eAACr85VzQS4JlszUUF/9XzyZVXTn8nTu6s2eVJ05MDQ0N1el0Lj14O3q9Xq1WK5VKKU8qlWrFihVZ7WcbFoul0yGvrKwsMTERQGBgYHp6uqBqOwnWhg1UV9f2lZ/fUbBsNpo2jZKSyGYj6h3BqqgovXQpUa/H2bMD793LENRLQ8MNtXqR9N/57LPPlpaWuvDgZWVlWq125Mi2K0sJCQk6na7OftrRXnp6emBgIICkpKTbt52cRxsaGlatWgVAJpNt2riRrK59sBF1GizAydeDgkVEubnk60vbthH1gmDl5ORERkampz99/nxUfb3A074kIyNj0KBBAIKDg3U6nU16ePVUY2NjZmZmamqqn1/LpaShQ4dqNJpr1651ZfecnBxp+hUbG1tQUOB0G51Op5DLK6ZMoWeeoWrXTA9adRKsdevo2rW2ryNHOgkWEa1bR+HhVF3dEqyvv6aUFPr4Y7pwwbWVd2LLli0BAQEA5s5Nbmi4655Oy8vLFy1qOXXNnDnz8uXLPThIYWGhRqMJDw+XjiOXy1NTUzMzMy0WS7eOU1paOnXqVABKpfKrr75yus3Px47RoEEE0JgxdOVKD6p9EFfOsSQ1NTRkCL3xRkuwVq1qO9VFRFBqKul0dOuWC/8ER12ZZwiVmZn56KOPAlAoFFqttrm5uSt7VVdX63S6GTNmtA55Y8eO1Wq1d+7c6XEl9kOeRqOxOh3ySkooIYEAUqlo374e9+XA9cGSfgwIoIgIWr+eKispI4PUaoqKajeejhhBajVlZJChS+veXXXnzp1Zs2ZJD/Rt0pDsCffu3VOr1VI+pk2bVlj4wNUNq9WalZW1YsWKAQMGSNuHhITYL50/PJ1OJ42nKSkpNTU1TrYwGmnRIgLI15e0Wnq4QVzSw2AdOkS/+Q3Nn09ff010X7CIaPZsAhznWNevk05HqakUHNyWMD8/SkggjYaysqibJ3tHeXl5jz32mDQdedBajjsdPHgwKioKgL+/v0ajaWxstP9tSUmJVquNiYmR8uTj45OcnJyWlmYymVxeyaFDh0JDQwHExcU5rJ22sNlIqyUfHwJoyRKqr3/IHjsKVnQ0vfdeu5Zr10gup8xMmjOHLl+mkhKKiqLiYifBKiwkf/8HTt4bG+noUXr7bZo6lXx920IWHm594YVVW7ZsuXnzZnf/kj179kgP+hkzZpSXl3d3d0EMBsP69et9fHwATJgw4ccffzSbzRkZGfYLUVFRURqNpgd/crdcuXJl7NixAKKGDDFlZzvf6NtvWx708fFUXPww3T3stcJf/9rxsk93GY2UlUUaDY0dS2PGnGmdYYwYMUKtVmdkZNy7d6/jIzhcr3A4MfQG2dnZsbGx0vr4wIEDpVIHDhy4cuXKH3744SGfP3ad0WhcuHDhhaSkliHPqaIiGj2aAAoLo6NHe9zXQwXr7l2KiSGno3bPXL9++7PPPlu0aJF03m69WJGYmPjOO+8cP378/pl46xVWPz+/Tz75xGWluJrJZFKr1QqFIjAwMCEh4eOPP66q8sBFRpvNRn/6E8lkBNDKlWQ2O9moqormzm2Zpvz1rz3rqOfBMplo5kzatavHB+iI1WrV6/VarTY5OVkub7tpeMCAAcnJyVqtVq/X22y21ntCwsLCsh90eu81Nm/eDOC5557zdCFEmZmkUhFAkybRTz852aC5mTSalgmKWk3dHwR6GKySEpo5k7Zv79ne3VNXV3fgwIHXX3993LhxsDN48GBpfXny5Mm3hC5guMiCBQsAePC5ajv5+RQTQwBFRtLJk863SUujwEAaMoR+/rm7h+9JsG7coPBwSkggtZrU6oedY3VLZWVlRkaGWq2Wnm2FhYVNnTq1/qGfwrjWN998c/+obbFYgoODAZSUlHiqMEd379KcOQSQXE5ffOF8m9On6d//7sGxexIso5H0+rYvZxejhLPZbO+//z6A6dOn3//bpqamU6dOub8qibSC4LAQlZOTA2D06NGeqso5i6XdkOe6xeQ+fAepyWQKCQkBcPHiRft2s9k8dOhQf3//yspK91d19epVAIMGDXJY5n733XcBvPbaa+4vqXO7dpFCQQAlJZHTf7SjR2nxYoqLo9hYmj+fdu7sdBG1D79KR6FQPP/88wB27Nhh3y497bJYLLt27XJ/VVlZWQCSk5Oltav7291fUueWL8eRI4iMxPHjmDwZubntfqvTYfZsAHjzTWzciBEjsGYNXnqpk2MKeQS4y8mTJwEMHjzYYUKzd+9eAOPGjXN/SQsXLgSwdetW+8ba2lp/f38/Pz/nV1R6idJSmjKFAFIq6dtvWxpLSkgup7fearfl7t0EtG3jTN8OFhFNmDABQGZmpn2jxWKRbhpx84Wd5uZmaQXOYRl93759AGbMmOHOYnqioYFWryaFglpvLt20iXx96f416lGj6PnnOzhSHx4KJS+++CKA7du32zf6+fm98MIL97eLdubMmerq6lGjRkmXLFt9//33AKSF3F5NLse2bcjLQ0JCS0tBASIjYbde3WL8eJw/38GRvCFY/v7++/fvr6iosG9fu3YtgD179rjzRcDSROr+AD2ovZeKs3vTufp6DBrkZJvwcBiNHRyjzwcrIiIiJSWlubl59+7d9u1xcXGJiYkGg0Gab7mH0wCVlZUVFRUFBQVNmTLFbZW4THAw2j9iW/z8Mx55pIP9+nywAKxevRrORr0HtQtiNBpPnTrl5+f39NNP27cfPnwYwOzZs1tf+teXTJqE27cds0WE/Py24dIpMZNAt7JYLJGRkQAcFkUNBsOAAQNkMlkX7xN/SPv374ezBdulS5cC2Lx5sxtqcL3btykoiNasadf4t7+RTEYnTnSwnzecsR40VVepVIsXL46IiM/MrHZDGU7HQSI6evTo/e19Rng4tm7Fzp2YMwcffogdO7BiBV57DX/8I+zuonZCaNzdpqioSCaTqVQqh+uGx4/X+PpSdLSIFzg5GjNmDIAT7R/HeXl5AKKjo4V3L9S5c/TSS/TkkzRxIi1dSt991+keXhIsIpo2bRoAh1dg2mwUG0sAHT4stvfS0lIAQUFBDku1H3zwAYA1DkNJP+ANQ6FErX49KWnPP//5n/aNMhlWrgQA0TN4aRycNWuWwwy9jy00uJCnk+0yRiMplSSTkcNM/dYt8vWlwEAnq8cutGzZMgCffvqpfaPZbFYoFD4+Pk5fjuzdvOeMpVRi0SIQYefOdu3DhiE5GQ0N2LNHVNdElJ2djfvOTCdOnDCbzfHx8a2vPu0/vCdYAFavBoBt22C1OmkXNxqeP3++oqJi2LBhcXHtPiil/46DXhaspCSMHInSUhw50q594UKEhUGvR76YNz6WAjRv3jyn7RysPu9BU/WAACxZAgDtb9xyGacBunv3bn5+fmBg4PTp04X02st5epLnYqWl5OtLAQHk8I4HubkE0KBB1NDg4h7NZrO0vu9ww+qePXsAzJs3z8X99RFedcYCMHQo5s5FUxO+/LJd+6RJmDQJ48ejstLFPebk5JhMpvj4+IiICPv2/jwOwsuGQsmDpuonTuDYMURHu7i7BwXI6fPE/sMLg/W73yEsDGfP4ty5du0KhZDunAbr8uXLxcXFERERjz/+uJBeez0vDFZAAJYtA4RN1e1VVVWdO3cuMDBwRvsrsq0vnWh954/+xguDBWDtWgDYtQuNgj/5xmg0LlmyZOHChYr258N+PsGCF3+WzqRJyMtDRgZSU93ddXNzc1hYmMFgKCkpkV6x3Q955xkL4lfbO3D69GmDwTBmzJh+myp4cbCWL0dMDOLjPdA1j4Pw4mDduIENG7BuXbvGL75AYaHwrjlY8OJgZWbi5Zfx6qvtGtetw9GjYvs1Go1nzpzx8/NLSkoS21Pv5rXBAhAaioMHsW+fWzvNzs62WCyJiYkqlcqtHfcy3vwB2hERmD8f69djzhz88gk0XdXYiLo6GAyorUVDwyWDoaS2ttZgMNT9orq6uvV7g8FQW1tbV1dXX18vvU1DPx8H4d3BAvDuu/jHP7BxIzZtams8eBAFBTAYUFeH+noYjaipQV1dy5f0vcXStn1i4oFTp97qeqdbtmyR3hqkP/PyYIWG4v338eqrWL687RliWhoyMjrZ0d8fSiVCQ6FUYtSo4SrVvODgYJVKNXDgQKVSqVKpgoODlb8IDQ1t/V562z7m5cECsHYttm/HunX4179aWlJSEBODoCAolVAqoVJBpWr5PigIISFQKhEQYH+MVMDty6x9nPcHy8cHf/87pkxpu5HmxRc9WlD/4M3PCltNnIhXXsHbb8Nm83Qp/Ua/CBaAP/8ZTU1oavJ0Hf1GfwmWSoW//MXTRfQnXnt3g9kMiwX2i5REqKnBgAGw+6QLJorXBot5Vn8ZCpmbcbCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnx/0xtep08OkW2AAAAzXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAOKG5gZHPIANLMzECGBojBwsYAFWCHMBiZYDLsEJpZAEIzcTBAaG4GxgwmBtYERiYFRrYEJnYNJmYWBRbWDCYWtgQRRlYGRjYWVvEsoFJGuPX/J6+3KzGbvR/EWbPG2n5aTqEdiL16GofD0hpXexD79XOPA6z9DGD2uewb+/clPbUFsflvT95/lWEpWO8Tcbb90t/bwGr+yAQ76Hsb7QOxxQBauSoB6x+C/AAAAS16VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9UslqwzAQvfsr5gcsZtF69BJKKbGhcXsNIYc0UAqF/D8dubhKQHQkwSxPTzMP8eX7cjx93vrj+eN0/eoayPY6vlxv8Gc8NprHf3ZKCd4FEZs9ZAf63dPzBMPS9VtmmN+m5QBRF+b1iOyWeb9lCAZAI5YTe2jJMLFTfjS4WrnKKzCIEFp1WFzwvoITxbEhsZRyOQSyIhWchQlaUWAi57TukClyBeiUUBvzCUPStCFiRFcB+sxIRumIZZ0lJoyxggxwgFafZInIQAadtVQbJsIMYjhFb22+QcES1d7eTeODrL9C9/M0FqGtHi5y5tAX1bQGUsSxGoYigdYglkEzmSvTaFCo4hqG+87u+8jx9lXUb34AT5t/Ps7lN4AAAADhelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXc0xbsMwDAXQq2RMAFngJynJstGh6N7mCo3hIQhiB4nbKYcvm42aJP1Hfn1OWKZp//H2dXhg99x3EiEVOVBMxOg5jB1irlSqRQATpVeElMDBLtxXqmGkKMqV8yuCnZYUEZDaHksq2SK2cmULSoGKhFEi1z5r6Ky7KPDfbT+z9MQBkZLa+CF8b+v1eF9vA8XHz+m2Tpd5i+9He87L7/m+Ltd52WIa4BmOoQN759bFu7Su3rX15D05z0P2nBsunkvT/vwDW9x9i3vI4L8AAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>B</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAWk0lEQVR4nO2deVRU1x3HvwMICChbIGgFBQNRwERBhDYuLEI0xhO1LllINETTNDU2aU3MiWkkmlRc4hZryknVoDZV3Bp3RRyVuiSCRgENih4QjSCLqDMIDMOvf7xhQGSZgXeZCfl9Docz782be38zfLjv9+67946CiMAwcmNh6gCYzgmLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixECi8UIgcVihMBiMUJgsRghsFiMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLEYIbBYjBBYLEYILBYjBBaLEQKLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixECi8UIgcVihMBiMUJgsRghsFiMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLHMlx07kJure3z3LhITTRqNkbBY5ktyMnJydI/v3MHq1SaNxkhYLEYIVqYOgGmJTZtw+jQA3L1r6lCMhMUya/z9ERICAEVFUCpNHY0x8KnQrAkKwqhRGDUKI0aYOhQjYbEYIbBY5suECfD11T12csIf/mDSaIyExTJf8vOxaJHu8e3byM42aTRGwmKZLwUF2LMH27YBQEUFLl82dUDGwGKZNR98gI8+wr17po7DeFgss6ZXL0ydik8+MXUcxsP9WObO7NkICkJwMABkZ6OyUvfYzOEWy9yxscHKlfjb3wBg9mwMHozoaJw5Y+qwWoPFMkcuX8bhw/WbI0ciLAxEeOopODjg8GGEhmLsWKSnmy7EViHGzMjNpV69yNaWtm+nsjLdzvJyyskhIioupnnzyNGRAAJo5Ej6/nsTBtssLJZ5kZ9PffoQQEOH0v37zR5WUtJYr9OnOzBKA2CxzIjr18nHhwD63e/o3r3WjzdnvVgsc6GggPr2JYDCwgyySo+kl5OTTq9nniGlUlSQhsNimQWFhdS/PwE0aFB9XmUUpaVN6LVzJ734Imk0REQVFfTyy/JG3RIslukpKiJ/fwJo4EAqLW1XUaWl9PHH1L27Tq+33qLHHqOlS4mI7t8nLy9Z4jUIBRGZ+sL0V83t27djY8tTUvwGDkRqKlxcZCjz3j189RW2bkVsLIqKsGMHUlLg4oKAAOTny1C+IbBYpqSkpCQyMrKoqDgo6MjGjf0fe0zOwonw5Ze4fx/e3ti6FRs3dqhY3EFqMsrLy0eNGpWZmens7Lh+vbO8VgFQKHQPXn4Z9+5h/36Zy28ZvldoGu7evRsTE5ORkeHn56dUKj08PIRWt3o1xo8XWkNjuMUyAffu3YuJiTlz5oyvr69SqezRo4foGvv3x7hxoit5CM6xOhq1Wv3cc88dP368d+/ex44d6927t7i6Cgpw8yZcXeHtjepqnD2LoUPF1fYQ3GJ1KBUVFWPGjDl+/LiXl5dSqRRqFQBPTxw6BD8/fPIJ7Ow6zipwjtUxFBYWZmdnZ2dnb9iwISMjw8vL69ixY3369OmAqqUBzfpJGR0GiyU/d+7cyc7OvnjxovQ7KyursLBQesrDw8PGxmbv3r3irBo9GvfvIykJffsCdWL5+QmqrVlYrPZSXFyclZV16dKlrKwsSaPS0tJGx7i4uAQEBPj7+6ekpBQWFu7bty8wMFBQPKdPo7wcjo66zStXAODJJwXV1iycvBtHeXn51atX9Q1SRkbGrVu3Gh3j6Oj4xBNP+Pv7SzIFBAR4e3srFAoAKSkpMTExzs7OV69edXZ2lj28oiJ4eMDZGWVlTWx2JNxiGcTSpUv379+flZV1+/btRk85OTlJ9ug16tmzZ3PlREdHR0REKJXKFStWfPrpp7LHKZ349O1To82OhMVqnRUrViQlJWVlZQHo3r27r69vk61RC6jVant7e+lxQkJCWFjYsmXL/vSnP7m7u8sbaqOMylQJFlgsQ5CsWrVq1bhx4zw9PVs9vtHp8uLFi126dPnpp5+kZ4cMGfLcc8/t3bt3yZIlS5YskTdU8xGLh820Qm1trYODA4A7d+40eUBZWVlaWto///nPd955JyoqqsmbMy4uLtXV1fqXXLhwwcLCwtbWtqCgQN5ox40jgJKTm97sSLjFaoWbN2+qVKrHH3/cyclJ2lNUVLRr167sOh5N3rt3796/f//AwEDpt7+/f6N2bsCAARMnTkxOTv773/++Zs0aGaOtrPzgmWd8nnxyEuAKIC+vFrDgFsscSU1NBTBs2DD9nh9++KHhB2hjY+Pv7z9p0qR58+YlJydnZWVptdpWi83JybGysurSpUtubq5coWq1WltbW4VCoVKpiKimpsbGxqZnzyEqVZVcVRgOt1itkJOTA8CvwX+9v7//tGnT9Pl77969W03eH8XPzy82Nvabb76ZP39+UlKSLKHm5eVVVlZ6enpKFwp5eXlVVVWWlrfs7a1lKd84Ot7lXxbvvfcegEWLFslecl5eno2NjaWlZXZ2tiwF7tu3D0BUVFSTmx0M34RuhcuXL+PhFksuevfuPX36dK1W+4lMi35IoT5Z120lLnJDYLFa4dFToYzMnTvXzs5ux44djfK2tnHlyhUAvnU3nKVNFssc0Wg0+fn5FhYWPj4+Isrv0aPHzJkziSg+Pr79pTVqokzbYnGO1RI5OeXDh//x2WdfEVdFWVmZ1JFx9OjRdha1Z8+e+fPn37x5U9qUBntduXKl3TG2BRarJb77jgAaPVpsLVJzNXToUBnLrKiosLCwsLa21kjTVTscPhW2RMfcEvnrX//q7u7+v//97+DBg3KVeeXKldraWh8fHysr0/QosVgtIQ1mEj380sHB4f333wcwd+5cat8ophs3bhw6dGjZsmVSL4mbm5s8IRoPj8dqifBwHDuGQ4cQHS22osrKSl9f3xs3bmzfvn3ChAkGvqrRUNULFy40HNXj4eFRWlqanJw8roMn6ABgsVqmZ0/cuoW8PAie9AAAX3311dtvvx0QEHD+/HlLS8tHD7h165Z0d1IyKTs7u7y8vNExbm5u0t3JwMDA9PT0tWvXWlpaJiUlvfLKK8LfwMOwWM1y/z4cHWFrC5UKFmJShobjtDQaTb9+/a5du7Zx48bY2NhGrVFmZmZRUVGjlzs7O/v4+Pj7+wcHB0sjDRtNUZw3b978+fMtLS2/+eab2NhYIe+hOUxyyfCLID2dAHrqKVHlb968uWfPnpmZmfo90k1De3t7V1fXR/9Srq6uw4cPf+utt1avXp2amlpUVGRILQkJCQAkt0S9k6bgm9DNIvSS8Ntvv33ttde0Wq1SqdRPrKisrFQoFI6Ojj///LOTk1Pfvn0bDlVtWyftnDlzAHz44YdxcXG1tbWvv/66nG+jBTrS4l8W8fEE0EcfyV/ytm3bpF6ABQsW6HeuXbvWwsJCoVB8/PHHP//8s7w1Ll68GIBCofjHP/4hb8nN0ZJYO3fuzM/P75g4zJDly8nfnzZtkrnYHTt2dOnSBUB8fLx+5/r16y0sLAAsXrxY5vrqkIZBKxSKDRsuCKqiIc2KlZeX5+DgYGdnl5CQUFNT0wGhmA/vvEMZGbrHmzfTqVOylbxv3z4bGxsAs2fP1u/csmWLdBm4cOFC2WpqiuXLl0dEfKdQ0IoVQushakGswsLCyZMnS6fL0NDQ8+fPC4+ljhs3bixcuPCNN96YO3futWvXOqxePY6OFBqqW7rzz3+mDRvkKfbAgQO2trYA/vKXv+h3bt26VTotfv755/JU0yKJiWRhQQoFLV8utqJWcqy9e/d6eXkBsLKymjVrljTmVRAPHjzYvHnzqFGjGvbi2NnZLVmypINveLm706xZuo9eLrEOHTokWfXuu+/qdzaZbInm66/JwoIA+uwzgbW0nryr1eo5c+ZIf+y+ffumpKTIHkR6evqsWbMea7CmnUKhmDp1alxcnDTq9+mnn/7hhx9kr7c53N2prIx8fKigQB6xUlJSunbtCmDWrFn6nfpka968ee2twEjWrtW59emnoqow9Krw1KlTAwYMkP7kcXFxVe1c3ZeIiCrz8xcvWuTv79/oQrVPnz7KuqXKlUqlNKJIajLvt/BtDXJQVkZaLbm7ExGtW0eTJ+vEas+Mh7S0NGkC2fTp02tra6WdTSZbHcm335KVFQE0Z46Q8o3obtBoNAkJCba2tvNCQujxxykpqY11VlZScjLFxBBQAox62Kq4uLi7d+82PLyiokLfZHp7ex84cKCN9baISkUJCeTsTJs26cSqraWhQykkhBITycWFnnqKkpOpTgxDOXHihGRVXFycfvaOPtl677335H4fRrB5s0C3jO7HysnJUY8fr1tH/Pnnyaj+iDNnaOZMcnHRvRwg4Me6IRYeHh67du1q7qU//vhjSEiIJN+kSZNu375tbOTN8eABLVtGbm66iN58UycWEWVmUpcuFB9PPXrong0Opl27DNXr5MmT3bp1AzBt2jS9VU0mW6ZC79batTKX3KYO0tpaSkoiV1cCyM6OEhKo5f6I0lJKTKRBgxr61PAnFJg4cWJxcXHL1Wo0mhUrVkgNgLOzc2JiYq2xDcjDVFdTUhJ5e+sCCQuj1FQiolWr6o/ZsoWysqiqihIT6Te/0R1pSOuVkZEhrSczZcoUfX/N8ePHpZuDM2bMaGfwcrF7N0VG0qpV5OtL5eVERGo1BQZSaiq90mDk7Jgx9V0whtCOnvfCQnr1Vd0nPWhQs9XOmKH7p2jmR21js+Vf/zK82mvXrsXExEhN14gRI3Kkb1szEq2WkpPJ11cXRWCgQfPQG+k1YEBLeq1evVqhULz00kt6q/TJ1htvvGEmVknU1tLKleTrSzNnEhGpVOTpSQcP0oQJ9cdERJBRl0/tvqWzZw95eRFAVlY0axbp+yOkD66ggBSKFqyi6Gi6fr0N1SYnJ0uj2Lp27ZqQkGB4f0Rtbe3u3T8GBOjq79+ftm41LnN68IBWrarXa+zYH3fu3NmkKPv27dMHduLECem02DDZMh9WrqT4eBo0iE6dMhOxiOjePZo5U3f9unIlFRTQ2LE0ZAgFBdGUKfXNQqOfrl0pIYHa8RGXlpa++eabUtNlYH9ESkpKSEiItbW1p+dVLy9KTKQ2d5BJrVevXhQSMgZAYGBgUlJSc8bok62pU6eaoVVEtHIlLVhAaWkUHEx37+rEcnamwYN1P926dbxYEqdO0eTJVF1Nw4bV9/wsWkShoU1YFRZGbTqFPYpSqZRm0rXcH5GWljZ8+HDJwp49e65fn1olx4IGlZX05Zere/Xqpfd7+/btjVovfbI1efJks705JolFRFOn0hdfmEmL1ZD8fPL2rt/UaMjJiZ5+ul4pKytauLCVZN9IGnbhent7Hzx4sOGzmZmZkyZNkv7wrq6uCQkJFRUVMtZORFVVVUlJSfphLVLrJTl07tw5FxcXABMnTjTVhBlD0ItVVEQ+PmYo1smT1GgaU79+9PXXOqt69CBh9xzPnTs3ePDghv0Rly5devXVV6VRAw4ODnPmzCmXLnvE0EivgICABQsWSEP2JkyYYM5WUQOxiGjNGjMU69o18vWt39RqycWFVCo6dYri40mW00/zaDSaRYsWSTdPHBwcpDbMzs7u/fffLykpEVq1nqqqqjVr1uhvsAIYP358w1XXzJPKSvriCzp+nGpqqLaWysuppoYatuxqtXH5sNxj3okQEoIFCzB6NAAkJWHLFuzbJ2cVLfLuu++mp6fX1NR07949LS0tKCho0KBBH374oT4N6hiqq6vXrVtXXFzs5uYWFxdnbW2KhYSM4fZteHiga1eUlcHGRo4S5Vaf6NIlCg2lmBiKiKDw8Lb1JrSZYcOGATh69KhKpSopKRk4cCCAs2fPdmQMv0T+8x8C6NlnZStQwJj3fv1w+jRKS2FpibrlFTsMtVoNwMHBwd7e3t7eXtrUz4RhmkOpBICICNkKFDaZoql5Jh1AI5NYLAM5cgQAIiNlK7CzTbFXqVQApDsnYLEMo6AAublwdERQkGxldjaxGplUUVEBFqs1UlMBIDwcTU3AbiOdWazq6mqNRmNtbS0N1GSaQ/YEC51MLI1Go9ForKyspMt76bTIzVWryJ5goZOJxZl7G7h8GTduwN0d8n7RXaeaYs9itYHTpw+MGJHTv/9YhULOdVY7lVgOFRUp4eGaup4O6wcPPggKsjHga5V+zezdu/7YseSXXrIF/iBjsZ1KLEeVauTRoxg4UNr0uX9/0dmz4BareYjo2LFjACLlzbA6WY4FtRpAvUmNNplHuHDhQlFRkaenp6/c62F2RrHqekdZrFY5cuQIgKioKNlL7lxiqVQAt1hGoFQqAUTI24UFoLOJxadCY9BqtWlpaRCQYIHF+jWTnp5eXl7u5+cnYrAai/XrRUqwhgwZMmrUqBs3bshb+K9ALH0uzzyMJFZubu7BgwfDw8OvX78uY+GdWqxGuTzzMDNmzJg2bdrGjRtDQ0OvXr06bNiwq1evylV45xLL3R3BwdCvdc6nwuYpLCx85pln1q9f/8QTTxw8ePC3v/3t9evXIyIicnNzZSm/M36BQFoaLlyAuzuionTnQbOfy9DBFBcXR0ZGqlSqI0eOeHt7A1Cr1c8///zRo0c9PDxSU1MfXbTMWDpXiwVgxgx88QUcHJCZieBg3LrFVj1Kly5d7O3t8/LyIiIirl27BsDe3n7Pnj2RkZGFhYWRkZHZ2dntrUO2aRnmwIkTFBxcv8THl19SXJxJAzJfysvLw8LCAHh5eeXWLVioUqmkPi0PD4+8S5faU37narG+/x4jR0Kh0G1GR0OO71rulDg6Oh4+fFi6GNSnVlK7FR0d/efevb0iI3HhQpvL71xiaTRo+L2P1taorjZdNOaOpFFERERBQcGwYcMuXrwIoGvXrrt27frAzU1x6xaionD+fNsK71xi9e+Pc+fqNzMy0O4ktHMjuRUVFSWlVllZWQBsbW0ttm/HCy+gpATh4W1s9eU4X5sNNTUUFERLl1JeHqWmUr9+dPq0qWP6BaBWq0eOHAng88hI0n8bWVUVSYvNOjm14WPsXGIRUUkJxcfT739Pb79NPLPeYCoqKtbExZGdHbm51a8IVFNDL79MADk60smTRhXY6cRi2kxVFb3wAgHk7Fy/ZFFNDcXGEkD29lS3+L4hdMYOUqbNVFfjxRexcyecnHDgAEJDAUCrxdSp+Pe/0a0bcnPh7m5ISSwW8zAaDV58ETt2wNERBw4gLAwAtFpMn44hQ/DHPxpYDIvFPIJWi2nTsGkT7O2xZw/Cw9tQBovFNIVWi7g4bNgAe3vs3q2bfq9WY+VKZGbC3R2vv66fDdUknasfi5ELS0usW4fXXoNaresj1WoxYgSsrfHZZxgzBlOm4NSpFgrgFotpntpa7N+PMWMA4L//xdq12L1b99S2bdi4Ed9919xLucVimsfCQmcVgJ9+wqBB9U8FB+PixZZeKjIuphNha4uqqvrNykrY2bVwOIvFGEZoKA4fhj5xSknR9UQ0A+dYjMHExkKtxsSJyM1FcjIOHEDzC66wWIzBEOHoUZw/jx49MHo0undv4VgWixEC51iMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLEYIbBYjBBYLEYILBYjBBaLEQKLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixECi8UIgcVihMBiMUJgsRghsFiMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLEYIbBYjBBYLEYILBYjBBaLEQKLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixHC/wH23wZW1AYwMwAAAV96VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAASAWBOIGRnYHDSDNzMzuYAGiGZnZIAIscAmGDBDNxMgGYTAzcjCAZZhgKhE0VAGCAVHJAtfBYAKkGZlY2BgSQAxmDgYFIM3EzcCZwMCVwMCtwMicwMiewMScwcTEosDEkcDCqsDKpsHEzpHAzpXBxMGZwcTNo8HEzcvAy8/CyMfPIMLEysDJwc7FysjMxMEufgpkKtyTBVs69tcuqdwD4hjWX7cvijByALFXtBg7fIpSsgexVdc6OvzvZAeLWzJXODxKv7oPxD7FmOBQ7PB+P4it6zDJ4dNjqwMgdsN7RfvDm2+D9UqtW2l/cvNROxB7yaweuzgFfbD6N8ci9tt83g1Ws6BW8oBbsClYvHSp7IETtrxgc4wrsw6wyR+3BbHFfU4c8NsZBjbH79z8A5c7JMDqxQCWzE5ZXiCBUgAAAcp6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9lE1uGzEMhfc+hS5ggX+ixEUXsZ0GQZAx0LrZFkE3zaarIOcvqcCRggrVjDEj6SNH75EwvdXnn79+P7/8OexSjG+nh5fX9DHotPN1+M9tZumJAWD3mOIlHW7v7rd0vNwcrivH84/t8j2hJqwe49dn9uZyfryuYNrSHjNoA6hpDxmwEHtYhj5GLDmJWRsXtUS5NlVpC47T0bcbiFXybWWh2P6HE8/HGUjR2AMQa7VVvtK5VgtaP6Cgn3UFqn+YcwFAsNDU1LDIAqzpnCSXCsyS9pSNAJUXYPOMoYCKomuvqEIrzpzDHBipb3NTXFqI0BNSFcWuRZtAW2lBdNKBJlpb8eTixuvKRqQgKbM1ciM9pkJjoBXKLtxRcUXUlZPX3XSFSmTlrMoqXYpXk5aaSpCaqRh1KQTmxq9Ijc9LNmML4yEXK41X8m+306cufe/bw3k7jb4V/+HUnX2OowsxLhrdJsGMpoppG60jHiGjQdCnZbRB7NqoNnq8TkUlT1Cn0omH2FSgmI+jeRkkksxmU2DIk6nYV2QyDwP05/Hr3ZeRLM4auM7ezU7F/Prv4O+7v6tw2QyL6NEqAAABZnpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF2QvU4DQQyEX4UySBvLP7te70VIQWlSkfSIAk4pEOKCQqDKw+OlW3d384093tkdnnfb7Z5fdquHw/1C88zPy/5lmVdPOxdmnunutlorcGncEgJj00Zps87QmjRJa4TSiom5JqAqWtyGrTLX7mOQZj7qvoomyP9aVmFO/sGozRUCVEPqLqTCUl1DsKzVSiK3m2jaIPhYUXKlkmZfReCk1MRQTT15I4Cs1Fwgqn4Tg2FuNfXRPiBgtXDPyeSJ1pWCSB5NYP4035GhVBTp5zVG0h7Tc8W3iCn167yJmpVq36SW0Szdp9fr+fN4OX9NCN8/b1/n+eN0hcej/56W3/fLefk8LVeQiUZMAfOIecA2yYgl4DziHHAZcQlYR6wB1xHXgG3EFnAbcQuYQm2E0RCLG5srE4XqaOxOJwrlkURDqI9ifxQKpNDg7Q+iY/lasrzQ8gAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
        "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "  subpocket                            smiles  \\\n",
-       "0        AP                 Nc1c[nH]c2ncccc12   \n",
-       "1        AP  N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1   \n",
-       "2        AP                    Cc1cc(N)[nH]n1   \n",
-       "3        AP                     Nc1ncc(C=O)s1   \n",
-       "4        AP     COCC(=O)n1cc2[nH]nc(NC=O)c2c1   \n",
+       "  subpocket                               smiles  \\\n",
+       "0        AP                    Nc1c[nH]c2ncccc12   \n",
+       "1        AP     N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1   \n",
+       "2        AP  CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1   \n",
+       "3        AP                       Nc1ncnn2cccc12   \n",
+       "4        AP                       Cc1cc(N)[nH]n1   \n",
        "\n",
        "                                               ROMol  \\\n",
        "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
@@ -381,47 +381,47 @@
        "                                      ROMol_original kinase family  group  \\\n",
        "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
        "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
+       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
+       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
        "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
        "\n",
        "  complex_pdb ligand_pdb alt chain  \\\n",
-       "0        5l4q        LKB   B     A   \n",
+       "0        5l4q        LKB   A     A   \n",
        "1        5te0        XIN         A   \n",
-       "2        2f4j        VX6         A   \n",
-       "3        2gqg        1N1   B     A   \n",
-       "4        2v7a        627         B   \n",
+       "2        8gmc        YFV         A   \n",
+       "3        8gmd        ZRR         A   \n",
+       "4        2f4j        VX6         A   \n",
        "\n",
        "                                     atom_subpockets  \\\n",
        "0  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...   \n",
        "1  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
-       "2          AP AP AP AP AP AP AP AP AP AP AP AP AP SE   \n",
-       "3                AP AP AP AP AP AP AP AP AP AP GA SE   \n",
-       "4  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
+       "2  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
+       "3    AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP   \n",
+       "4          AP AP AP AP AP AP AP AP AP AP AP AP AP SE   \n",
        "\n",
        "                                   atom_environments  \\\n",
        "0   16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na   \n",
-       "1  7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...   \n",
-       "2                5 5 14 14 14 14 14 14 14 8 8 8 8 na   \n",
-       "3                    14 14 14 6 5 5 14 14 14 6 na na   \n",
-       "4  8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...   \n",
+       "1  7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...   \n",
+       "2  4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...   \n",
+       "3      14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na   \n",
+       "4                5 5 14 14 14 14 14 14 14 8 8 8 8 na   \n",
        "\n",
        "                                      smiles_dummy  fragment_count  \\\n",
        "0                    [11*]c1cnc2[nH]cc(N[27*])c2c1               3   \n",
        "1     [12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1               3   \n",
-       "2                              [22*]Nc1cc(C)n[nH]1               9   \n",
-       "3                        [15*]Nc1ncc(C([41*])=O)s1              17   \n",
-       "4  [8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12               3   \n",
+       "2  [39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1               1   \n",
+       "3                           *Nc1ncnn2ccc([25*])c12               6   \n",
+       "4                              [22*]Nc1cc(C)n[nH]1              10   \n",
        "\n",
        "  connections connections_name  \n",
        "0    [FP, SE]   [AP=FP, AP=SE]  \n",
        "1    [SE, GA]   [AP=SE, AP=GA]  \n",
-       "2        [SE]          [AP=SE]  \n",
-       "3    [GA, SE]   [AP=GA, AP=SE]  \n",
-       "4    [SE, FP]   [AP=SE, AP=FP]  "
+       "2    [FP, FP]   [AP=FP, AP=FP]  \n",
+       "3    [GA, FP]   [AP=GA, AP=FP]  \n",
+       "4        [SE]          [AP=SE]  "
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -440,7 +440,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "dd4917de-b9f3-4767-99df-2a63d7c8ba78",
    "metadata": {},
    "outputs": [
@@ -472,38 +472,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>2561</td>\n",
-       "      <td>1001</td>\n",
+       "      <td>3240</td>\n",
+       "      <td>1201</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>1866</td>\n",
-       "      <td>862</td>\n",
+       "      <td>2385</td>\n",
+       "      <td>1100</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>1560</td>\n",
-       "      <td>606</td>\n",
+       "      <td>1962</td>\n",
+       "      <td>743</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>1024</td>\n",
-       "      <td>306</td>\n",
+       "      <td>1305</td>\n",
+       "      <td>355</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>98</td>\n",
-       "      <td>42</td>\n",
+       "      <td>126</td>\n",
+       "      <td>47</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>92</td>\n",
-       "      <td>42</td>\n",
+       "      <td>113</td>\n",
+       "      <td>59</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>7201</td>\n",
-       "      <td>2859</td>\n",
+       "      <td>9131</td>\n",
+       "      <td>3505</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -511,16 +511,16 @@
       ],
       "text/plain": [
        "       original  pre_filtered\n",
-       "AP         2561          1001\n",
-       "FP         1866           862\n",
-       "SE         1560           606\n",
-       "GA         1024           306\n",
-       "B1           98            42\n",
-       "B2           92            42\n",
-       "Total      7201          2859"
+       "AP         3240          1201\n",
+       "FP         2385          1100\n",
+       "SE         1962           743\n",
+       "GA         1305           355\n",
+       "B1          126            47\n",
+       "B2          113            59\n",
+       "Total      9131          3505"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -564,7 +564,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "f743c281-4024-49dc-8f3f-340cefb4a2cd",
    "metadata": {},
    "outputs": [
@@ -601,7 +601,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "213b1242",
    "metadata": {},
    "outputs": [],
@@ -619,7 +619,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "eb40d6cb-4ec7-42ae-bdfe-453425455c05",
    "metadata": {},
    "outputs": [
@@ -627,7 +627,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Total number fragments with pains substructures: 42\n"
+      "Total number fragments with pains substructures: 51\n"
      ]
     },
     {
@@ -683,7 +683,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -703,7 +703,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "id": "c244900f-6187-4890-88da-5b657473f52d",
    "metadata": {},
    "outputs": [
@@ -754,15 +754,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAZDElEQVR4nO2deVRUR9qHf9000s0qKiqCe6KOSxQxg4CKKIIaFzJxSURFGcWM+nmMGSFqYibGBbOYmKgjHqM4IY4x4kTOKLKIyqIom9sYN8QBFYMoDb3R0N31/XGZtgE1gF33dpt6DsfTVMOtF3moW/VW3SoRIQQMhrkRCx0A4+WEicWgAhOLQQUmFoMKTCwGFZhYDCowsRhUYGIxqMDEYlCBicWgAhOLQQUmFoMKTCwGFZhYDCowsRhUYGIxqMDEYlCBicWgAhOLQQUmFoMKTCwGFZhYDCowsRhUYGIxqMDEYlCBicWgAhOLQQUmFoMKTCwGFZhYDCowsRhUYGIxqMDEYlCBicWgAhOLQQUmFoMKTCwGFZhYDCowsRhUYGIxqMDEYlCBicWgAhOLQQUmFkXq6nDmDJTKBoUXL6K0VKCAeISJRZFHj+Dvj8uXGxTOnYvvvhMoIB5hYjGowMRiUEEidAAvPxUVuH//yac6nXCh8AgTizpTpggdgRCwWyF1zpwBIU8+XntN6IB4gYnFoAITi0EFJhaDCqzzThEnJ6xfj27dGhT+3/+hb1+BAuIR1mJRxMEBajWSkhoU/vorZDKBAuIRESFE6BheZuzsoNMhKwu+vvUl7u7YsAEREYKGRR/WYlHHywuLF/9e8qJGmFjUiYpCWRm++UboOPiFiUUdZ2fExODjj38Xq2WMMLH4IDwcgwdj+XKh4+ARlm7gA5EIO3di6FCkpAgdCl+wFosKej2OHm1QMnAgli5FVBQMBoFi4hcmlvm5dQtjxmDSJBw50qD8k09QUYHycgDYuRM//CBIdDzBxDInOh1iYjBoEDIy0LUrHB0bvOvkhC++AIBff8WyZZg9G++99/KmIYg1kJdHsrIalFy8SP7zH4GieQZXrpDXXycAAcj06eTxY0IIuX2bqFQNvqyoiFRXk337iExGADJyJCkrEyReuliHWIGBBCAnTjwpmTaNREQIF1BD6upITAyxsyMA6d6dpKQ067vy8ki3bgQgHh4kJ4dyiLxjNbdCNzcsWQKtVug4mnD5Mnx98cEHqK1FZCQuX8a4cc36Rm9v5OUhMBD37iEg4GV7dMdqxAoPR00NPvtM6DhMqKvD5s0YNgx5eejRA6mpiI2Fk1MLruDmhpQUREdDq8WCBVi0CLW11MLlF6sRSyrFF19g40bcuiV0KACAS5cwfDg++AB1dfUN1dixrbmORIKYGMTHQybDrl0YMwZlZeaOVQisRiwAb72FUaOwZMmTEpUKdXV8h6HVaj//PMXbGwUFeOUVnDqF2NjGA8CWEhaG7Gz06IHsbAwbhpwcM8UqHNYkFoDt25GRgX/9q/7Tv/8dbdti3Dhs3oysLD4ku3DhwvDhw6OiQoYNux8ZicJCjBplnit7eSE3F2PH4v59jB6NXbvMc1nBEHr00CwCA8mHH9a//ugj0rs3mTyZRESQd98lIlH9CB8grq4kNJR88w25csX8MWg0mqioKBsbGwB9+/bNzj5r/joIqasj0dEEICNGxM2ZM0etVtOohQesTyy1mvTsSdq0qU83lJeTgwdJZCTp3/+JYQDp2JFMn05iY80j2dmzZ//whz8AEIvFkZGRSqXSDBd9NgcOyNu2bQvA19f33r17VOuihKWLlZNDdLoGYhFCkpII8JQ8VnEx2bOHzJ5N3N0bSNazJ1m4UBcf/8P9+/dbGoBarY6OjuYaqv79++fwlXEqLCzs2bMnADc3t/T0dH4qNSMWLVZiImnThsycSeLjSUZGg7d27SLHjj3ve4uKSGwsmT6dtG9PADJgwDnu1t+rV6/IyMiDBw9WVFT8ZgDZ2dl9+/YFIJFIoqOja2pqXuwHahkVFRXjxo3jao+JieGz6hfHcsVKTiZSKQHI8uUvdB29nuTnk507z02YMMHRZPAmFou9vb1XrlyZlJTU9NbGNVRisRjAwIEDz58//0JBtBadThcdHS0SiQDMnj3birpcFipWSkq9VcuWmfOyOp0uLy8vJiYmKChIKpUaJZNIJN7e3tHR0ampqRqNJjMzs0+fPkI1VE05cOCAg4MDAC8vr+LiYmGDaSaWKFZGBnFwIABZsIAYDM36lrQ0cudOy2pRq9WpqamrVq3y8fHhulAcUqmUayGGDBlSWFjYivhpcPHixd69ewPo0KFDWlqa0OH8NhYnVmYmcXSs75vr9c36Fr2etGtHAOLuXj8SLC1tWaVKpTI1NTU6Otrb29vGxkYqlYaFhWm12lbET4+qqqqpU6daS5fLssTKziZOTgQg8+c31ypCSEUFCQ0lrq5PhoEiERk4kCxbRn7+mVRWtiyGRYsWAVi7dm1Lg+cBnU63atUqrkGdM2dObW2t0BE9EwsS68yZeqvCw1tglRGdjuTmks2bSUhI/Z2U+7CxIdOmvfvBBx+kpKSoGq2NehpHjx4F4OPj05qfgRcSExPt7e39/f0tuS9vKWLl59c3OTNmkLq6F71aXR3JyyMxMSQoiLi6qtq0adO0k/6sLrlKpbKzs7OxsWlOPkIQDAZDt27dAKSmpgodyzOxCLEKCuo7SdOmmcGqRiiV2uPHj0dFRQ0bNsy0k+7g4DB+/PjPPvusrMkKzjFjxgD48ccfzRxKyykuLjY0Gb+cOnUKgKenp06nEySq5iC8WAUFhQMHailZ1QiFQmHspHM9FQC//PJLoy/bvHkzgAihl6hqtVo3N7dXXnmlvLzctHz+/PkAPjSdi7A8BBbrwoUL7du379JleESEgueeaFlZ2f79+5c/Lf164cIFAB4eHk1bCz45fPgwgAEDBpgWKpVKJycnANeuXRMqsOYgpFi//PJL586dAUyYMEHwJKQpBoPB3d0dwBUayySaDZdc+OKLL0wL4+LiAPj7+wsVVTMRTKxr165xv7zx48dblFUcc+fOBfDll18KFUB5ebmtra1EImnUBQwMDASwa9cuoQJrJsKIdf369S5dugAIDg7WaDSCxPB8fvjhBwAhISFCBfDVV18BmDx5smnhnTt3xGKxTCarbGl2jncEEOvmzZucVUFBQRabiXn48KFYLJZKpUJFOGTIEACHDh0yLfzkk08AhIWFCRJSi+BbrDt37vTo0QPAyJEjaS+Xe0G8vb0BJCcn81/1pUuXALRr1860k2AwGLjpwpRmPrgoKLyueS8pKQkMDLxz546/v/+xY8e4GXuLJTg4GEBycjL/Ve/ZswfArFmz7OzsjIWZmZlFRUUeHh5cms3S4U3hkpKSXr16AfDz86uuruat3lbD5SEbjfZ5oK6urlOnTgByc3NNyyMiIgCsXr2a53haB09ilZaWcs24r6+vVVhFCKmtrXV2dgZQUlLCZ70///xzU6FVKhWXvmqazrVMeLoVbtu2raioyMfHJykpyalFDwsLh62t7ejRowGkpqbyWe++ffsAzJs3z7QwISFBoVD4+fn169ePz2BaDw/y6vX6wYMHi0SioqIiHqozI9u3bwcwc+ZM3mqsqKiws7OTSCSNnvsYO3YsgNjYWN4ieUH4aLHEYnGHDh0IIbm5uTxUZ0YmTJgAICUlRa/X81NjfHy8VqsdP348lz3muHv37qlTp6RS6YwZM/gJ48Xh6VYYEhKCZ4ywdBa89VjPnj179+5dWVmZn5/PT43cfTA8PNy0cO/evXq9/s033+QeNrQKeBWLS8AYC3U63cSJE93c3NRqNT9htILn/EmYnStXrhQWFrZr127y5Mmm5dw0QCPbLByexBo0aFCXLl3u3bt39epVY6FEIqmoqJDL5adPn+YnjFbAZzaLS1+98847pumrrKys69eve3h4BAUF8RCDueBJLJFIxD172eg3xGd70DrGjBlja2ubk5NTWVlJtSKdTvfPf/4TTVom7uY4d+5c01WKVgBvwwSuPQ8ODjYtzMzMBNCvXz/ewmgFo0aNApCQkEC1liNHjgDo37+/aaFareb6VdaSvjLC35ROcHCwWCzOyMgw7VENHz7cxcXl2rVrJSUlvEXSUvhpVp+VvpLL5b6+vlaTvvof/InVoUMHLy+vmpoarpXikEgk3MxXigWf2cCDWI8ePTp69KiNjU1YWJhp+VMHiVYBr5PQT/0NCTjX20y8vLw6duz43//+98aNG5Sq2L9/v1arDQkJ4RYUcdy9e/fkyZPWlb4yIrxY48ePB5CWlmaxCS2xWMyNyOjZ/9SWad++fXq9PjQ01NXVlVK9FOGzQ1dXV+fi4oIm07qvvvoqgDNnzvAZTIvgVpq/8cYbNC5uMBh27949YcKERotpuX5VUlISjUppw/dCP+4Bge+++860cOnSpQA+/vhjnoNpPmVlZSKRyMHBgbfl+VlZWQC6dOliyQ8PPge+N7d96t3QmJfnOZjm07lz50GDBqlUquzsbH5qtNb0lRGeRb59+zYAV1dX0z9EpVLJPdX+6NEjnuNpPitXrgQQFRXFQ13G9NXVq1d5qI4GfLdYxmndvLw8Y6GDg4Ofn59er09PT+c5nqbcuHHj3LlzTcv5nCQ4fPiwXC738fHhdtS1RgQ4YTUkJGTHjh3Jyck+Pj7GwuDg4JMnTyYnJ0+bNo3/kIzcunVrzJgxCoXi9OnT3HMyRkaOHCmTyS5evDh27Nj27ds7OTnJZDJHR0cnJyepVOrk5GR84ejoKJPJuBdSqZRbhtoirDd9ZURETJYb8ENiYuLUqVP9/PxM+yuFhYVDhw719PQsFe5I7pKSkoCAgDt37owYMSIpKcmx4WkTO3fuXLx4cefOnctafiaJ0TAHBweZTMa9kEqlLi4uxhf29vYymczFxUWj0URERNja2t6/f98qEw0ABBFLpVK1b99ep9OVl5e3a9eOKySEeHh4lJWVXb16VZD2v7S0NCAgoLi42M/P7/jx443WT+/Zs2fhwoWEkPfff3/06NFqtbqqqqqmpkalUhlfVFdXazQa7kVNTY1SqTS+aGkwnTp1cnd3LywsNN/PxzcC3AodHByGDx9++vTpkydPvvXWW1yhSCQaO3ZsfHx8cnIy/2LdvXs3MDCwuLjY19e3qVVxcXELFy40GAwxMTHR0dGtuL5CodBoNEqlUqFQ1NTUKBQKpVKp0Wgavaipqamurq6oqMjIyHj06FFubu7rr79uph+RdwQZMmzcuBFAZGSkaeH3338PYMKECTwHU1ZWxqUihw4d+pg7F9WEAwcOcAP+jRs38hYSNwLt16+fZe4/0ByEEYtb6du9e3fTwgcPHohEIplMxudT7Q8ePOAaSC8vr6bJjoMHD0okEgDr16/nLSRCSE1NTf/+/QGsWbOGz3rNiDBiGQyGjh07oskmT15eXuBxB8Rff/11wIABAIYMGdJ0Y8hDhw5xVq1bt46feEw5e/asjY2NRCJp9NiqtSDYNkazZs0CsHXrVtNCrgfz17/+lYcAysvLBw4cCOC1115ralVCQoKtrS0EnWhavnw5F56lbQzeHAQTi0vVTJw40bSQS5AOGjSIdu2PHz8eOnQo14958OBBo3ePHTvGrTrnR/FnoVKpuOl5S55FfRaCicVN69rb25tO62q1WkdHR5FIRPUstcrKSm4nmb59+zY9DywpKYmzasWKFfRiaCbZ2dlisVgikeTn5wsdS8sQcqvIwYMHA2h0gMf333+flZVVR22bW7lczo3h+/Tp01Tf5ORk7oydp+5NKgjc0o/Bgwdb8nEBTRFSrKioKPA1rcshl8v/+Mc/Anj11VebWpWSksJZtWzZMmG3tTVFpVJx+6l8+umnQsfSAoQU68SJE9zfIj/VKZXKkSNHcmmOO02OdMrIyOD261qwYIHlWMWRnp4uEonatGlz6dIloWNpLkKKZexRteLg05aiUqkCAgIAdOvW7fbt243ezczM5GYGIyIi9K04boU+7777LoCJE5fQ3grfXAi8z/sbb7wBYN++fVRrUalU3GbDXbt2bbrjTXZ2NjeHM2/ePMu0ihBSXV09deq/7O3Jpk1Ch9I8BBZr69atAGbNmkWvCrVazT1h5unpeevWrUbvnjlzhrMqPDzcYq3iOHGCiETEzs48x6fTRviTKQA4OjouXbo0ISGBxgrS1atXA/Dw8Lhx40ajt/Lz87l1KTNmzKA3DjUjCxYQgPj4EMtfBy+kWGq1mttPzHisjVgs7t+/P3cYuFwuN1ctc+fObXpASEFBAbdoZ9q0aVZhFSGkqop07UoA0vC0CktEMLG0Wi3XwerYsWN8fPy6detGjx5tusuKra3tiBEj1q5de+rUKbM/G1NYWNi+fXsAf/rTn6zFKo7U1Pob4n/+I3Qoz0UYsbRa7aRJkzirTM+rUavVmZmZ3GHgxkMGAchkMn9/f+6cwRfPE168eJGzKjQ01Lqyjhzh4QQgvr4WfUMUQCytVjtlyhQAbm5uly9fftaXmZ7TLBY/eejD0dExKCgoJiYmLy+vFd1t48lQlnmGT3OQy4mnJwHI118LHcqz4Vus2tra0NBQAK6urs2f/3r48GFiYiInmekqRTc3t+nTp3/99dd5eXnNuY7xZKiQkBDrXUNHCPn3vwlA7O3JzZtCh/IMeBVLp9O9/fbbANq2bdvqZUZlZWUHDx6MjIzs3r27qWTu7u7Tp0+PjY1tmlXnMJ4MNW7cOKu2iiMsjADE378152fzAH9i6XQ6bg2Wi4vL+fPnzXLNoqKi2NjYOXPmeHh4mErWq1cvbmhpXGh148YNyz8ZqkVUVJDOnQlAtm0TOpSnwZNYOp1u9uzZAJydnXNycsx+fb1ef+HChS1btkyaNMn0UQixWOzl5bVw4ULOqhEjRigUCrPXLhRHjhCAODiQJnlfuqxZs+Y3/xv5ePzLYDDMnz//H//4h4ODw7Fjx7idF+nBSZaWlpaWlpadna3RaAB0797d09Pz+PHjjZ4WtHbefhsKBXbtQsMm+4XQ6XSJiYkPHjwICAhwcHDgticBIJPJ3NzcOnTosHnz5s2bN+fm5jba3bkBtO02GAyLFi0CYG9vf+rUKdrVNUKj0Zw4ceLDDz8sLi626rbKYCBr1pBGG5Hu3UsSEsj16yQ6mpw9+6S8tJRER5NWH9q3du3aTZs2paenjxo1Ki8vLyMjIyMj48cff5w6dWpmZubq1auHDBny3nvv/fTTT8+5CF2xDAbDqlWrJk6caG9vn56eTrWulxudjgDkyJEGhUFBZPFicvw4AcgrrxDjgOT8eQKQ8vJW11WfH1u7du2R/1X56aefHj16lBCyfv363bt3z5o16/kr8SluCkIIWbNmTVxc3PXr11NTU7n1BQwa2NhAKsWmTea6mg0AvV6fn5/PrfJVKpUZGRlcjkYmk/35z38ODAyUy+XPuQjFJ6E3bNgQFxfXpk2b2NhYPz8/ehUxRCJ8/jlCQxEWhj59Gryl0UAuR1UVqqrqX8jlEImuV1QcVigU1f9DoVBUVVUpFIqPPvpo9uzZXKMQHBzM5XT279//zjvv2NjYyGSyFStWAFiwYMHzQ6Il1oYNG3bs2GFra7t7925uppnx4qSmorz8yaf37z/RaPx4BAfjL39BWlp9SUUFPD1RW/uU6wQE3L5x49unVlFdXa1UKleuXDlo0KDFixcD0Ov1hw8fTkhIaFGoVMTatGnT9u3bOaus66AOCycnB7dvP/nUVDIAW7diwADs319vm5MTamthZwcXF7RtW/8v99GrV78334x2dnZ2cnJycXFxcnJyNmHGjBnXrl17/Pjx6dOnZ86cKZFIuOFhy2JtZQfv2cTExLi7u3fr1k2QY7pfVp7feZdI6kvWrSOdO5O0tPrOu4DzC2buvH/++edbt261sbH59ttvuQ3cGXwSFQVnZ3z5Zf2nUqlgkZjzVrhjx46vvvqKs4pbv8DgGTs7bNsGS/iLNluLtXPnzvXr19vY2GzdupVbv8AQhHHjMH260EHgBfpYV65cMT7mFhsb6+7u7unpeejQITPdoxmNKSggVVUNSm7dIqWlpKqKNFp/JJeTvDwi7MLY35gr1Gg0jx8/Nq4duH37do8ePfR6/d27d8+dO0cIGTly5NWrV+fNmycWi7ds2WKNp74waPA8sbZt23b06NFOnTrFxcWdP39+y5YtBQUFBQUFcrl8xYoVIpFILBaLRKINGzZ88803Pj4+3ForBgN47q2wsrLy1q1b4eHhhJCqqiqdThcSEsJN5T569GjJkiURERFN91ZkMMjz0w2mZ6Y7Ozubnr2xd+/e0NDQKVOm/PTTTxStZ1gtrUw3vP/+++aNg/GSwfeRJ4zfCTZ/+9vfnvVeVlZWYmJiQUFBXV1d165d4+LiuC3R3N3dTe+SDEZTnjcqLCsre/jwIQCxWNy7d++bN29y5T169GjF+TCM3xUCHHnC+D3A+lgMKjCxGFRgYjGowMRiUIGJxaACE4tBBSYWgwpMLAYVmFgMKjCxGFRgYjGowMRiUIGJxaACE4tBBSYWgwpMLAYVmFgMKjCxGFRgYjGowMRiUIGJxaACE4tBBSYWgwpMLAYVmFgMKjCxGFRgYjGowMRiUIGJxaACE4tBBSYWgwpMLAYVmFgMKjCxGFRgYjGowMRiUIGJxaACE4tBBSYWgwpMLAYVmFgMKjCxGFRgYjGo8P9Unx/Jf9BKHwAAASd6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAHii/gZHNQQNIM7OwOWSAaGZGdogAM1wAoQJCsztYgGhGTBXsDGABJkYGAw1GIItRGkhIcgAJx5L8XL/SnBwNGQZtmCQ3NkluBsYMJgbmBEamBCbWDCZmlgwmFtYEFo4EVrYENvYEdo4MJg5OBU4uBgZuBhEmNqClrEyMrGysLBzs4rNApsJ96P5R7AB7UuB+ECeqz+BA7iYFexD7S+Wt/U3WN8HsMO6M/Z9uzACrWf5CxK4g6/9eENuupGnfZOGVYDXZIvX2nLWcDiD2svtcDrzJsyF6cy/Zd6Y47wOxX2vKOVybvANszv4/tQ4SH9dAzHSKOuA3+SOYLQYAYQRGW9bi0ugAAAGNelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZNNa8MwDIbv/RU6D2IkWf7QYYe2KWOMprB2u5ayywplMOj/Z3JK6hTMnAQs+dFrS1bCRX6Pp8t1dfz6Pp1/lgso471/O1/hPrhfmB//eVUVPj0iLrZQJrDavLwOsD4sV5NnvfsYDnsgBvIWY88juzzstpOHYA0dOx+ypAQdukxJkQEdjqPG8o1MIcecbT1ySuwboIcBOnIJo2kCuaiJWBugFEV0ilFMyEJIhZgaZDASHUkQ0hJCLIlCA4w3SQ6S1NvenlEJG2CyQ9rWGgUDsElnDqnBZRO05ahqXnJMXmNLT42zVMWWeTyhYqZWdew0gyna+T3mkrQII7UKTgRP4J3GHAIV0gcizDMStsv9/pnTPYItovNOCD2N4jkn3wghmkI2Q//QD7cOWe2GvnaI2Me1DYop9bLFXL5eqZgr1nsrjlBvx4y6mkZTa6nFiFQrKkbkWd3EEJ1Vh4whnCVPhaq5Wf0LRDxPdp5asacfx+aLP/FzsSICgJloAAABQ3pUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWQP08DMQzFvwpjqXJW7Dh/fJ0YQEyoEoil6lCiGxBtrioHUz88vpuasNnvZz9bb4e43mfMJdOuPO9zXr3sKK7395ky3l1XnQNG68h0CClFh2bTETifOJnOQsIolhYt+hTEWAgUIzmVEKINyRuEIBFnxQJ5juJUcmRFvSyIBLbeECAnCmajRRDRCUIn2us2z4Uuo9g0+xCw+uH8EjNZtXEgesnPivOIizGyZ5Rlj3TeL/fFBtbndA6Fkcy9OUzjaXsZz72F03h8G6f3w3EoeQBU5fvn4zzmr2GC10dth/L7eRnLaSgTlEOPN/xhq+0tx9BTzanlruau5VxzbrmvuW95qHloeax5bHmqeaq47+VfYHKz8LTVtg3MNonZ9iS2mbahXv8AfOzL7IZh+woAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAYuklEQVR4nO2de1yUVf7HP88wI3hhgBQVMNRWXcUbxs0NErM0L9B6wxIjbLco10RNzepXsm77otRW6RWaGqti7VJqq4Kmool4WxBQQ3LFewooonEVhGHm+/vjIcJhZmCGeS6D5/3iD2fOmef5jPOZ53vm+5xzvhwRgcGwNgqpBTDaJ8xYDEFgxmIIAjMWQxCYsRiCwIzFEARmLIYgMGMxBIEZiyEIzFgMQWDGYggCMxZDEJixGILAjMUQBGYshiAwYzEEgRmLIQjMWAxBYMZiCAIzFkMQmLEYgsCMxRAEZiyGIDBjMQSBGYshCMxYDEFgxmIIAjMWQxCYsRiCwIzFEARmLOtz5QrUarzzjoGm3r0xZozogqSAGcv6aLWorERNjYGmigrcvy+6IClgxmIIAjMWQxCYsRiCoJRaQLvlxAksXqz/pMGBV7uEGUsoLl1CSYn+k3V1UkiRAmYsoZg9G59/rv+ki4sUUqSAjbEYgsCMxRAEZiyGIDBjMQSBDd6tT6dOCA5G//4GmoKC8PjjoguSAo7V0mEIAQuFgqBQgOOwe/dDT1ZWguMQGSmRJnFhxhKQefNQVSW1CIlgxhKKgQNRUIDly6XWIRHMWEIxYgRefBFxccjNlVqKFDBjCciqVbC3x+uvQ6eTWoroMGMJSK9eePddnDqFhASppYgOM5awLFmCAQPw7ru4c0dqKeLCjCUs9vaIj0dpKf7v/6SWIi7MWIIzdizCwrBpE86ckVqKiDBjWRmDNzJWr0bnzg8tCGv3a3WYsawGET77DFOnGvBWr15YtgyZmQ0P8/LQty82bhRZoKgwY1mHO3cwfjwWLMDu3ThxwkCHBQswfHjDv7/+GiUleOMNhIejvFxMmeLBjGUF0tIwYgRSU9GtG/bsQVAQnnsOQ4Y81EepRHw8nnsOgwfjk0+wbRucnZGUhGHDcPSoRLoFhRhtoL6eYmLIzo4AGj2aCgvNeO21axQYSAApFBQdTXV1gqmUAmYsy7l5k55+mgCys6OYGKqvN/sIGs1vvvT3p0uXBFApEcxYFpKcTF27EkA9elBqapsO9d//0hNPEECOjrRhg5X0SQ0zltnU1VFMDCkUBNDYsXT7thWOWVZGs2YRQABNn06//GKFY0qLSMbavp22baOqqoeerK+nbdsoI0McCdbh+nUaOZIAUiopJoa0WmsePDGRHB0JIE9PSk+35pHFRyRjKZUE0NKlDz15/z4BNGuWOBKswI4d5OxMAPXuTSdPCnKKxhG9nR0tXWrDI3rxjMVxpFJRbu5vT9qQsWpqKDq6IVRNnSpsqGofI3rxjDVuHHXtSgEBv4UPWzHW+fM0bBgB5OBAcXEinfTIEXr8cQJIraZvvy0W6azWQ7wEqbMzPvgAmZnYtEm0c1qBhISE+fMP5ObCywunTmH+fJHOGxyMc+cQHg6OK1u40G/GjBmlpaUindsqiONfpZJmzCCNhoYMocceo+JiItlfscrLy1966SUAHKd4553C+/elkfHvf//QpUsXAH369Dl+/Lg0IsxHVGMR0cGDBFBkJJG8jZWdnd2vXz8Ajo6OX3/9tbRirl27FhgYCMDOzm7p0qV1tjCkF9tYRPTii8RxlJ7+m7Hu3KGXX6a4ODp+nKS6MDSi0+ni4uI6dOgA4Mknn7x48aLEgoiISKPRxMTE2NnZAfD3978k+yG9BMa6dYucnGj4cKqoaDDWnj0NP7j4n9leXhQRQXFxdOwYVVeLI7CBu3fvhoaG8oOEqKioBw8eiHr6ljh58mTfvn0BqNXqDfJO0ktgLCJavZoA+uyzBmMVFtL69fTaa+Tt3ZDxavxTqcjHh958kxIS6OxZ0mgEFJmRkcF/bE5OTtu2bRPwTG2grKwsPDyct35YWNgvck3SS2MsjYaGDaNu3QyMserqKC+PEhMpOpp8fBrSOU19xl/PNmygvDyrJb758KdSqfhAc/XqVescVzASExP5EX3v3r2PHj0qtRwDSGMsIjp+nDiu5cF7ZSWlp9M//kEzZ1L//g0vafzr1+9mcHDwokWLkpKSLB52FBcXP//88wA4jouOjraJoTERXb169amnnpLtiF4yYxHR7Nlm/yosL6djxygujiIiyMuLRo78rmnqRK1WBwYGRkdHJyYm5uXl6XS6Fg946NAhNzc3AK6urvv27TPnPUlP0xF9QECArEb0whrrwAH685+pro6+/JIOHtRvLSmhDRvohx8sP35xcenevXuXL18eGhrK+6Mp3bt3nzhx4rJly1JSUm7duqX3Wv5TUSgUAMaMGVNUVGS5DklJS0vr1asX/73aunWr1HIaENBYp0833Kv/8kvhTvIQhYWFycnJMTExISEh3bt31/OZm5tbSEhITExMcnLy6dOn+cyQUqmMiYnRWneWgujcu3dv2rRp/NtctGiR1HKIhDPWzZvUqxcB9NJLVp5b0nqa+qxr165NTebs7AzA09PThnLZLZKYmKhSqSIjI0tLS6XWQoLs6PfLLwgMxIULGD0a+/fD3t7qZzAbIrp48WJ2dnZ2dnZGRsaPP/6o1WqvX7/ePIDaLrdv3/bw8LC3ty8pKencubPEaqxu1ZoaCgoigIYMIQu+OefOUVgYrVhBP/xAZWVWV9eAj48PgF27dgl1AilYt24dgMmTJ0sthMjqoVCrpWnTCCAPD7pxw5IjbNjwUELBzY1CQigmhpKTrTkL6pNPPgEwS573KY1TU1NjYjg4duxYAImJiWJKMoaVjTV/PgHk5EQ//mjhEW7coM2bae5cCgggB4eHTGZnR0OG0OzZFB9PGRlUU2N5Gv7q1ascxzk6OlaLfM+obaxevbpHjx4JCQnNm0pLSzt06KBUKktKSsQX1hxrGmvFCgKoQwc6dMg6B9RofsvCBwY+5DOFQuvs7OLl5RUREREXF3fs2DFz7+vZYjQMCgoCsH379uZNX331FYBnn31WfFUGsZqxkpJIoSCOo6++stYh9ampoYwMio+n2bPpueeu8InBRhwcHEaOHPnWW29t2bIlLy+vvqVlfjYXDYuLi+3s7Ozt7SsqKpq3Tp06FUB8fLz4wgxiHWOlpZG9PQG0erVVjtcqqqqqjh49unr16vDw8AEDBnAc19RnXbp0efrppxcuXHju3DmDL7e5aLhx40YAoaGhzZuqq6s7d+7McdwNywa2AmAFY+XlNaxdefvtth/McioqKo4dOxYXFxcREeHl5dXos/379xt7iW1FwwkTJgDYtGlT86Zdu3YB8Pf3F1+VMdpqrIKChjn/YWGSJUINUlJSsm/fvo8++ujevXvG+thQNKyoqHBwcLCzs7tz507z1sjISAAff/yx+MKM0SZjlZc3LF8ZNYpqaqwlSTxsKBomJSUBGD16dPOm+vr6bt26Afjf//4nvjBjWL5Kp7a2dv78n3NzMXgwdu2Cg4PFR5KMvn37Pvnkk5WVlampqVJraYGdO3cCmDJlSvOm9PT0u3fvDho0aODAgaLrMoqFxtLpdJGRkV99NSAk5Nz339twRdqwsDAA27dvl1qIKWpra/ft2wegcdp0U0x4Tkosu9AtXLgQgFqtPnPmjHUvoSJjE9EwJSUFgI+PT/MmnU73+OOPA8jKyhJfmAksMdbatWsBqFSq1Dbu3yMP5P/b8E9/+hOAv//9782bTp06BcDDw6M1sxrFxOxQuH379nnz5nEcl5CQwN+csnVkHg21Wi1/xTIY7Pg4OHXqVL00nvSYZcP09HQHBwcAK1asEMjp4iPzaHjkyBEA/fv3N9jKD9gPHz4ssqoWMcNYP/30k4uLC4A33nhDOEGSIOdoOH/+fABL9baAIiKi/Px8AF27dtUIuizOIlobCouKiiZOnFhaWhoaGsqPsdoTco6GycnJMBIHv/vuOwChoaFKpfxqe7fGfRUVFd7e3gD8/f3vS74GXgBkGw1zcnIAuLu7Gxyb+/n5Adi9e7f4wlqkZWPV1dWNGzcOQL9+/QzeT2gfyDMafvDBBwD+8pe/NG8qKCjgOK5Tp07y/Kq3EAqJ6PXXX09NTeWX3bm6ugp9BZUKeUZDE8nPnTt3EtGECRM6deokuq5WYNp3S5cuBeDo6JiTkyOGz6VDhtHw0qVLAJydnWtra5u3jhkzBoDkWywZw5Sx1q9fD0ClUpmYedKe8PX1xa9XAjmwYsUKABEREc2b7t27p1QqVSqVbDcFMRoKk5OT586dy3Hcxo0b+a0N2j1yi4Ym4mBKSkp9ff0zzzzjItvbtMYct2PHDhcXl8WLF4tpc2mRVTS8deuWQqHo2LFjld7u+ERE9Mc//hHAF198Ib6wVmL0irVjx47S0tIePXqIaHKJ6du3r4+PT2Vl5YEDB6TWgp07d+p0uueff7750tPq6uqDBw8qFIoXXnhBEm2twaix5BYXxEE+79pEHNy/f391dXVAQIC7u7voulqNsUtZTU2NWq0GcOXKFWN9TMz6tVFkEg1NLxJ8+eWXAaxcuVJ8Ya3H6BXLwcFh0qRJ+PW+gR537tzx9vYeOnSoTqcTzPMSIJNouGfPnrq6uuDgYH7OcVM0Gs3evXsB8MMs2WIqQWoiLnTv3r2qqqqoqOiEwTq1towcoqGJOHjkyJHS0tKhQ4cOGDBAdF3mYOJqZjoa8rnTefPmCXY1lQbJo6HpRYJz5swBsGzZMvGFmUULmfeZM2fCSDjPzs4G0LNnzxbXHNsc0mZKTSwS1Ol0/OZ98p8R3sK9QhNxwcfHp1+/frdv32bR0LpkZGQAmDx5cvOmzMzMgoKCPn36DB8+XHRdZmLad62Jhm+99ZYwppcMyaPhxYsXi4sNVPx65513ACxcuFB8SebS8rQZFg3lw+9//3sA8tzYXY+WZ5CyaCgTfvrpp/z8/G7duvHbu8uclo01YcIEtVqdlZV15cqV5q38Zr2y+gCsQlhYGMdxKSkpNTU1UmtpgM9BTJ48WW//JnnSsrEaM6X/+c9/mrfy3+wdO3ZotVqri5MQmWRKmyLTFc9GaNViChYNJefnn38+c+ZMly5d+Pl98qdVxno0o+GMGTM4jktOTpZDNOQn40+aNMnBRnZfaZWx2nE0JOPb3Pfp08fHx6eqqkoO0dC24iCA1hYQ2Llz59SpU/38/PjNAvTo37//5cuX09PTR40aZW2FAhIbG5ufn5+QkMAXlGvOypUrly5d6u3tzReHJqKysjKDPR88eGDswlZRUWHwK1dfX19ZWWnwJffv36+rq2t8qNVqc3Nz+ckOfFrRBmhlWqIxU3r58uXmrbaYKd26dSvHcQqFIi0tzVifNWvWyOSDdHV1NS1VbphR8iQ8PDwpKWnlypVLlizRa8rJyfH19e3Zs2dBQYFN/BhOS0ubMGFCbW1tXFwcv4a9OQcOHAgNDdVoNBMnThw6dCj/pLE55vb29saWYanVaoP/J0ql0tHR0eBLOnfuzBelbmTz5s1r167t0aPH2bNne/bsaex9yYjWe5AfYPn5+Rls5Wu+p6enW8fwQnLu3Dm+SNOSJUuM9cnJyeFLmL733ntiajOGVqvlfw+OHz9ebjsWGcQMY5mOhu+++y5sIRrevHmT36nsxRdfNFY+5OrVq/xVYebMmfL5FAsKCvh5f6tWrZJaS8uYt42RifuG/C4DMr9vWFZWxge14OBgY5Us7t69y+8N9Mwzz8itiv3333/PcZxSqTx58qTUWlrAPGPZdDSsra3lo8ngwYONrfOsrq7mC2QOGTJEDlX/mvP2228D8PT0lPmCA/OMZbvRUKvVTp8+HYC7u/vPP/9srA9fOMTDw0M+JR70qKur+8Mf/gBg2rRpUmsxhdl7kIaHh8PIjn5yjoYLFiwAoFarz549a6xPdHQ0ACcnpx8trl0mCleuXHFycgKwbt06qbUYxWxj8SlgX19fg618NDxy5EibhVmTVatWAejQocPB5hXPf+Xjjz/m+xyyVu0yIeFvoNnb258+fVpqLYYx21itiYZz5861hjbr8M033ygUCo7jTFR4T0pK4pOl27ZtE1NbW4iKigLQv39/g8XAJMeS7bhtKBoeOXLE3t4ewKeffmqsT1paGt9nzZo1YmprIzU1NfzM98jISKm1GMASY9lKNGzcjXfOnDnG+jQmSxctWiSmNquQn5/P5+5lUq63KZYYyyaiYWFhoaenJ4AXXnjB2OWzoKCAT5bOmDHDRK1lOfPPf/4TQOfOnWVVoYksrv4l82hYXl7Oh4mAgABjW3SWlZUNGzYMwKhRo+SWCDWLWbNmAfD29n7wQEabcltoLDlHw7q6Or5kxqBBg4xlEWtra5999lkAXl5est0Ur5VUVlaOGDEqMPCa1EHiISw0VovR0NXVNSkpqW3aLEGn00VERABwc3O7fv26sT78t9xEstS2OH1ax5dO/u47qaX8iuWFME1Ew4qKCqni4OLFiwE4OjqaSPC0Jllqc3z2GQHk7ExXr0othYjaYizT0VASvvjiCwAqlerAgQPG+nz66adoR6XLGtHpaMoUAsjfnwxtsiw2lhvLdDQUn927d9vZ2XEct2XLFmN9vv322xaTpbZLaSn16UMAGaq7IzZtqgltIhqKTEZGBj+BMzY21lifxtJlNjGfyTIyM0mlIo6jlBSJlbTJWDKJhufPn3/ssccAREVFGevTmCx98803xdQmPrGxBJCrKxUWSimjTcaSQzQsKirq06cPgJCQEGPV1QoLC3v37m06Wdpu0Gpp3DgCKDiYJHyvbTIWySAa8jv7jBw50lgitLy8nC9dZiJZ2s4oLiY3NwLoo48k09BWY0keDevr65cvX25wd2FqXbK0XZKWRnZ2pFDQDz9II6CtxqqpqXF0dFQqlZMmTYqNjT148KB8ZvTqdLpXXnmFT5Zeu3ZNajli8/77BFCvXmTkSycsbTUWEZ04cYK/6daIm5tbSEhITExMcnKyhNcJfv2j6WRpO0ajoaAgAmjiRBJ/qZEZC1ZNcOHChaysrOzs7KysrLNnzzZdbK5QKAYOHOj7K97e3h07dmz7GVtk/fr1c+bMUalUKSkpj0iRqeYUFMDbG/fuYc0aLFgg6qmtY6ymaLXaCxcu5DThwYMHja1KpXLAgAE+v+Lr6yvE9ikpKSlTpkzR6XSbNm2aPXu21Y9vQ+zdi9BQKJU4ehQjR4p3XusbS4/6+vr8/PxGk2VlZTXd7kLPZ/7+/npLyy0gMzNzzJgx1dXVsbGx7733XhuP1g6YPx9bt+Jf/8LEieKdVHBj6aHRaC5evHjixInjx4/n5ORcuHChadEUlUo1bNiwwMBA3meDBg1SKFq10VIjly9ffuqpp0pKSqKiojZs2GBt+TZJbS1u34aLC+7ehaMj9Movl5Xhl1/g4QGOw927cHKCXrkxIty6hY4dYV5pRLEHdQ9TWVl57NixuLi4iIgILy8vjuOaanN0dAwMDIyOjk5MTMzLy2txtXtrkqWPLPHxBFDPnqT3q53P1Gdm0qFDBFDzVe4VFQSQuasYlZZ9CaxFly5dgoKCgoKC+IcVFRW5ubmNcfP8+fMnTpxo3ITSyclpyJAhjXFz8ODBTQ9VWVk5adKk69ev+/n5ffPNN0qlxG9Nnty+jQ8/xOefC34ief3vq9Xqpj4rKyvLy8vj42Z2dja/02mjz1xcXHx8fPi4OWLEiNdee+3MmTO/+93v9uzZ07x4JIMnIADr1uGVV+DnJ+yJ5GUsPZydnXmf8Ru73bhxI7sJpaWlhw4dOnToEN+Z47gePXqkpqZ2795dUtWy5v338eqrePNNnDoFQTcyk7Wx9PD09PT09OS3VwBQVFTUGDRPnjz5t7/9LSAg4IknnpBWpMx57DH89a+IjkZ8PIxsOGcdbMlYeri7u7u7u4eGhgLQ6XTm/n58ZJkzB19+iQ8/xPTp8PDQb928GenpDz1j2ZbF7eTDYK5qPUol1q1DVZXhXLxGgwcP9P8sOUsbVTJskaAgREZiyxakpuo3RUVBb4vZykpYsMEv+6I/oqxcCRcXLFkCgYp6syvWI4qrK2JjMWcONBpBjs+M9egSFYUtW5CZacZL8vOxezd0OowfD29vUz1ZKHx0USiwdq0Z2ay9ezF6NCorcf8+Ro3C/v2mOrMr1qPC4MGIioJe7QEfH8TF4dw5dO8OtRpRUQauQx06ICoKPj7o2hUpKfD1BYDaWiQkYPx4o6cTe3YDo30QG4vsbBiq2dUAC4UMs9FqsX17C7O7mLEYZrN4MdRqvPqqqT5sjMUwg9paREcjNxf797cw6mdXLEZrKSjA6NG4fx+HD8PJqYXObPDOaC3Tp+Pw4d8euroiP99oZ2YshiCwUMgQBGYshiAwYzEEgRmLIQjMWAxBYMZiCAIzFkMQmLEYgsCMxRAEZiyGIDBjMQSBGYshCMxYDEFgxmIIAjMWQxCYsRiCwIzFEARmLIYgMGMxBIEZiyEIzFgMQWDGYggCMxZDEJixGILAjMUQBGYshiAwYzEEgRmLIQjMWAxBYMZiCML/A71TlIGeMZUfAAAA8HpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAuIOYG4gZGNocMIM3MjGCwO2iAGUgyYAEWGM3uYAGiGTFVsDOABRiZuBkYM5gYmBMYmRKYWDOYmFkymFhYE1g4EljZEtjYE9g5Mpg4OBVEmNiAmliZGFnZWFk42MWbgJoZ4U6sSOY/EGW6cD+Io3RI90BskbodiG2idme/9awl9iC2VLjrfsG1x8Fq5Kak2rWxPNgHYttrN+zjdK0Bq8m5XGLfpf8BzDbz43ZY2tEAZvNuvGMfKHYLrJ4zXt1B6tcFsDliAJxJMQ1xj+NNAAABWHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2S0WpCMQyG789T9AUsSZu0zeXRI2MMj7C53Q7ZzQQZDHx/9lfRKpT19ECTfgn5k+pRfj/3x9P4+fW9P/yMg6vrdXo5nNxthWmAn/7ZZuY+IhENG1cPbrl+ep7dajcur57V9n3evTkmx4wYfI/suNturh52K7cIPgiJJLdgH9REEObpvFpsuJCZxbLgnlPUEDpgdHNNlNmMk0PGoqa5A0rNSD5nKolqiKpZsg6pIMmHIGylhkjMGrUDpkvKoBRhkbeiEkoHzCgS1woRjBpLTqI91QUJg+eckhg4IuFMHc7AQTMq1HiuEH3UXncwlRkZEyuSVtEpBuwOuZ6nh1FdhrfczlMbnuAPbULVlDYHgSu2bgtcqbW0OrQ1Dka7zWfTWhcERG5iBUS5kyRAbjReHYPhByX3dVf7+mBxHv4AY9mXn5pYVGEAAAD6elRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXc6xTgMxDAbgV2EEKY1ix3biu4mtE+qOGCC6AaHmqvZg6sPj3uZky//9sfPWoL3340fD3uwAPt2fMQow1HCAKBklhxliQQIOhxQJWRnDjBGKCAeIKRGUMKeoLJnBklqEOMzWRk45B6PKhNUimwSqaCWsrGIJWkJarAT2HHGPkJJNsLZtI9pHlZKqPCJm1X0f2p+07p/KhTOHl/C5refTdb1MKd5+vy5r+1m2+Hqy69L/vq9rPy99izyBZ3AMMqF3HD17z6OTdxqdvfPo4l1GL97L6NV7HV296+D3f48ZnYiDyx/2AAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -776,9 +776,9 @@
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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ef0vhEajnTx50tjY+MqVKxoaGn///Tc+GGzTpk3BwcG93WVkZPTnn38ePnzYxcWFP93R0bG4uFjoJ5En5F1Ypqam/Iet6erqGhsbi7ZqpTeSkpKAT0bd3d04hV9q/cHS0jIiIoJCoWzevNnd3Z3JZPr5+X377bdvvAshJLBI6/nz5wp/BLCsfbFwxMfHm5qafvXVV+IqsKioCABMTU15PB5OycrKAgBra2vRCly3bh3+wc6aNaufp06Ul5draWnxp5iamubn54tmgJygYGvezc3NGxoa9u3bt3z5cjxtPECwH5w3bx6V+rLxxn7w3XffFa3AsLAwHN49PDycwWD08y4Oh7N3717iUrxNskyQd1cogIuLy4oVK9hsNj4TcOBgGfF7PUJqohXIYDBwl7+7u7v/d+GXRwLRqpYvZN1kCk1dXZ2BgYGp6eCEhCcDLKqxsRGHFW15dQBddXU1hULR1tYeyHmnjo6OAFBQUNDP/ErpChXvj8PExGT//vjOztI1aywH6DEuX77M5XJnzpxJrOZLTExECHl6empoaIhcrIGBAQCoSFSZ3lA8YQHAsmWuo0bpVVXBm1653kDPYQURBhp6ggPmNjc3D8g4RUfWTaaIZGcjKhUxGKi0VMQSuFyukZERABBL+To6OrS1tSkUSs+lCkKxYsUKADjBf3hin3R1dd29e5c/paioSNHH4hWyxQKACRMgIAAsLKCxUcQSbt682djYaG9vP3LkSJySlpbGYrFcXFyGDBkyENuEdYUMBsPBwYE/ZcyYMXifmeKiqMICgB9+gJUr4bffgHj9+vFHiIzs7+1ifx8kwIedMJnMAZaj0CiwsPT1oawMzp6Fo0dfpjx4AI8e9ff2njM5og24v84wso+lyMLCfPIJ/Pe/IGxooEePHpWWlhoaGk6ZMgWnFBYWVlVVmZubjx8/foAmkW+FoATRZkaNgg8/hPXr4fRpAAAeD/bsAQMD0NUFPb2X//T1O3V1OcSYAgDgE5rmzp2L13kCgImJye7du+l0OrFLR2TIFguUQFgAsG0b2NtDWhoAQEcHbN8umGHmzJz09OkUCkVfX19fX19PT6+qqgr+3Z0aMmQI3vswcEhhgXIIS1cX9u2DtWth2jSgUmHDBmAyobkZmMyX/3R0mNra2iwW68WLF4SHMjIy6k9ALBEgXSEoh7AAwM8Pjh2D8+chOBi2bu35/XyANh6Px2Qym5ubm5ubw8LCzp07l5iY6O7uLnZjyBYLlKDzTvDzz9Da2lcGGo1maGg4fPjw8ePHb9q0CQCioqK4XK7YLSGFBYreYnl5QWcn8HhAo4GtLSQnQz/XEjs7O9vb25eUlKSlpXl6eorXKhwlUFdXFyE08FcBRUXWQ/8DYvlyBIC+/VaUe/HW54CAAPGa5Ofnl5eXR1zu3r07PDxcvFUoBArsCtvaIDYWKBR4/31Rbl+6dCkORdTR0SFGq/Ly8vjH3CsqKp4+fSrG8hUFBRZWVBS0tYGbG/BFHBKCESNGTJw4sbW1tZ9hbUmEQoH7WHl5F42MZqxcKdyhzvz4+/tnZWWdOXNm8eLFYjQsPT2dCAZZWVk5QjThKziKKqzy8vKLFz81Nzf29c0T+Sn8/PzWr1+flJTU1NTEvxdogBQWFjY0NODPKhEV8nUoqrBiYmIAwMtrrpaW6I9gamo6a9as5OTk2NjYjz/+WFy2rV27dubMmfgzDuGngihkH4vL5Z4/fx4APvjggwEW5e/vDwBnzpwRg1kkfCiksGpqaoyNje3s7Aa+EsHX11dLS+vGjRuq+e4mQWQ93iE0f/zxx+3btxFCL168EEuB77//PgB89913Yint2rVr/KFE8vLyHjx4IJaSFQsKksuzr+vq6o4dO8ZgMNavX5+cnBwfH0+j0bZs2bJz504tLS28RDM0NFQsdV28eHHBggVOTk55eXliKVAo1q1b5+fnN2nSJHx55MgRNTU1HLJGoZFTV9je3u7j41NRUQEAFArl0KFDixcvDg8P//7777u6ulpbW8WlKgCYO3eukZFRfn6+TOJwZGRk8J9gWFJSUlpaKn0zxI6cCmvYsGHEQW0eHh5UKrWmpsbMzOzWrVve3t42NjZ4QZVYYDAYOMxQdHS0uMokUYzhhsrKyvj4+KNHj+J9pDjspxjx9/c/evTomTNnduzYIf1p44KCAmJ/7OPHj21tbaVsgCSQU2FxudyWlhYOh8NisXJyck6cOLFr1y6hoiEIxfTp04cOHfro0aOsrKzJkydLqJbeSEtLKysrw5/v37+vHMKSU1dYW1sbHh5uY2OTmJiYn59vZ2d3+vTpy5cvS6g6KpXq5+cHMhrQCgkJOf2KOXPmSN8ASSCnLZaFhQWO6ik1/P39v/vuu+jo6B9++IHYYUEiMnLaYkmfcePGjRkzpr6+vu9TC8XI5cuXY2NjpVOX9CGF9Q9LliwBaXnDxMREHx8fPz+/ZcuWOTk5Een+/v7vi7a+TN6Q9QitHFFZWYmDY7W1tUm0okuXLqmrqwPAJ598gk8FUz5IYf0LvDE6OjpaclUkJiZiVYWEhEiuFplD++abb2TbZMoVDQ0N165dy8jIaGhoaGtr09PT498/PXDOnz+/ePFiNpv95Zdf7tu3T4wlyx2yVrYc0dTU5ODgoKamxv/zMTc3nz9//rZt21JSUgYYs+rcuXO48A0bNojLZrmFFNZLmEwmPlluxIgRERERoaGhHh4eeLabQE1NbcKECWvWrDl16lRZWZlQ5cfExOBRjE2bNknoEeQKUlgIIcRisWbMmAEAVlZWlZWV/F89fPgwIiIiODh42rRpAuG1dXV13d3dt23bFh8fz39idE+io6NVSlWIFBZCqKurCx+WZGlp2feJum1tbTdv3jxw4MCyZcuGDRsm0KkYPnz4smXLDhw4cPPmTf6jA6KiorCq8ClzKoKcrseSGhwOx9fXNzEx0dTU9MaNG6NHj+7/vY8fP759+3ZWVlZWVlZeXh7//kRtbW1nZ+fJkydzOJxDhw7xeLwdO3ZsfV1UCaVF1sqWJVwuF6+aNzExKSoqEvi2qqrq+vXr/TwimsPhFBUVRUREBAYG2tvbE0skcPzcsLAwCZgv16iusHg83tKlSwFAT08vNze3ZwY8HECj0ezt7bGPy83NJY7c6ZuGhoZLly5t2bKFwWBQqVSBfpsqoKLC6u7uDgwMBABdXd2srKzX5jl+/PiECRMERh/09PQ8PDxCQ0MTEhLq6ureWBHeBbRz505xP4G8o4rC6u7uDgoKAgAtLa309PS+M7PZ7NzcXNxht7e3F+hI4FGusLCwmzdvvvaUlKtXrwLAyJEjlXXqpjdUUVg4OJa6uvrly5eFvffZs2cXLlzYvHnzzJkzBw0axC8ydXX1KVOm7Nq1iz8/j8cbOnQoAGRkZIjvCRQA+RXWO++8c/LkSeJyx44dn3zyycCLxbswGAxGQkLCAIvicrm4wx4cHOzs7IxP7Vq0aJFANqzjwMDAAVanWMivsDw8PPgjS33zzTerV68eYJnff/897o/HxMQMsKieMJnMlJSUzMxMgfQHDx7gzpmin2IiFCq0HuvQoUPr16/HhzdLYs0THognAscT2NnZTZgwgclk4hjgKoJcr8GNjo6+d+8e/nzr1q0xY8bU1taamJiIcFTk8ePHv/jiCwqF8ssvv+A3NWkSEBCQk5MTEREx8GATioL8jrx7enoOGzbM1dUVX8bFxRkbG2dkZDx+/NjR0dH5FaNHj6bRaH0XdfLkyZUrVyKEfvrpJ/w+KGWampqGDBnC5XKfPHlibm4ufQNkgKx9ca/07GN99NFHNjY2AvYPGjRo2rRpwcHBERER9+7d43K5AuX88ccfeKpuz5490n2Cf4H3xIorQoT8I9euUAAqlfro0aPm5uaioqI7r7h//35GRkZGRgbOo6amZmtrS7RnNTU1S5cu5XK5u3bt2rhxowyNDwgIiI2NDQ8P//LLL2VohtRQJGFh9PX1XV1dCRfZ2NiYl5d3584d/P+jR49KSkpKSkpOnToFADo6OhwO5+uvv5byZrKeeHl5mZmZFRcX5+XlDTz6kvwjv32spqYmTU1N4jzItrY2Ho8nsPKuJy0tLXfv3sWNWWZmZm1trba2tpzEa/ziiy8OHjwYHBx88OBBWdsieWTtiyUIh8MZPHgwAOTk5BCJ2dnZK1asEGHMfeDgMElGRkb8q7WUFWUex6LT6XirYEREBJGYnp4eHh5+lDg8U4o4OTmNHTu2sbFRcrEC5AhZK1uy4GEwQ0PDzs5OnPL8+XM6nc5gMPqzNkHs4KU4Pj4+0q9ayii5sBBCeJ/xuXPniBR8TOHBgwelbwwha/5wkkqJMrtCTEBAAACEh4f3kSI1zMzMPD092Wy28gd5k7WyJU5DQ4O6ujqdTn/27BlO6erqMjY2BoCCggLp24Mj1Lu4uEi/ammi/C2WkZGRl5cXl8s9jU+NBmAwGHjOjr9TLzXeffddAwOD3NxcYhpUKVF+YUHv3jAyMpLD4Ui69vT09Pr6euJSQ0MDr60ghK6cyLrJlAbEgFZ2djaR6ODgAABxcXESrTolJUVDQ+Ptt99ubm4mEjMzMwHA0NAwLi7uyZMnEjVAVqhEi/XaAa1ly5aBhL1hRkaGj49PZ2fn5MmTdXV1iXQWi8VgMOh0+oIFC4YOHWpgYODq6rp27dqTJ08WFxf3EWp1y5YthYWFxOWJEyfOnj0rOfsHhKyVLSV6G9BSU1OT0IBWZmYmjlSzatUq/k1j169f19LSAoBJkya5u7v3PHVMX19/1qxZX375ZWRk5P379/nvdXR0TEpKIi6DgoK+/vprSRg/cFRFWAghPPV79uxZIgUPaB04cEDsdd25c8fAwAAAAgIC+JXxWrVVVlbGxsaGhoZ6eXn1XK01aNAgV1fXzz///Ny5c6Sw5BE89Ttv3jwi5dy5cwDg5OQk3ory8/NxO7R48WIOh0Ok3759GztEAbUJ0NTURESI4N9UPW/ePEdHx/37999+xaJFi0hhyR7pDGgVFhbibfW+vr78qupNbf0xOyUlJSwsLCYmxtHRcdKkSfNfMWzYMFJYcgFexrl3714iZc2aNQCwbt06sZRfWlpqZmYGAAsWLGCz2UR6b2oTFgVyhSrxVkgg0QGtsrIyNze32traOXPmREdHE3vzHzx44Onp2djYuGDBAiJQltKjEg9J4OXlNXjw4JKSkuzsbBy/z8XFZenSpdOmTePxeAJhGoSioqLCzc2tpqbGw8MjLi4Oh6+F3tWm/Mi6yZQ2ISEhABAUFCTGMquqqnAcNldXV/5Q3uXl5UOGDAEADw+P10Z2EJbIyEj+wDXXr1/vuT9WTlA5YeEBLQMDA7H8phFCjx8/xnuHpk6dyh9Mqze1qQgqJyz0akBLLLvsm5ubR4wYAQBTpkxpaWkh0ntTm+qgisI6dOgQAHh5eYmltLCwMCcnp6amJiLl6dOnWG2TJ0/mV5tKIb+7dCRHdXW1tbW1lpaWpaWli4sLsQmR2BEkLJ2dncRJlnV1dW5ubiUlJU5OTqmpqXj8XQVROWF1dXUtWLDgypUrmpqa/OFo1dTU3n77bUJkY8eOJd7s+k99fb2bm1txcbGjo2NaWlrPeUDVQbWExeFwFi1aFB8fb2JikpycrKamRuyozsnJYbPZRE46nW5nZ+fMxxvbs+bm5tmzZ+fl5Tk4OKSlpeExfZVFhYTF4/E+/PDD6OhoAwOD1NRU/sPcAIDNZpeXl4usMyaT6e7unpubO2rUqPT0dLz8S5VRFWHxeLzly5efOXNGT0/v2rVrLi4ufecXSme2trbvvvtudna2ra1teno6HrtScVRCWAihwMDA33//XVdXNyUlBY+5CwWLxSooKCB0VlpayuPxiG9pNBqPxxsxYkR6erqlpaVYbVdUlF9YCKGgoKBff/1VW1s7KSlp+vTpAy9ToD0rKChob29PSEjAC7xIAJR9Soc/8vb169clVAteIhEcHCyh8hURJRcWjomlrq7Ov9pE7Ny5cwcAjIyMiHXPJMosrC1btgAAg8FITOaJC2cAAAHGSURBVEyUdF2Ojo4AEBsbK+mKFAUlWY/19OnT8vJy4rKlpeXChQsHDhxgMBh//PGHFLo+y5cvBxntgJVTZK1s8bB7924cvhaTnp5uZ2eXkpIitSaktrZWTU2NTqfX1NRIp0Y5R0larNfi7u7u4+MjnbpMTU3feecdLpcbFRUlnRrlHGUWlpTBq5yPHz8ua0PkAuVZmhwfH0+Mp7e1tUnfAG9vb2Nj46KiooKCgnHjxknfALlCeVqs2bNnx75i586d0jeAwWD03MivsiiPsLS1ta1eYWpqKhMbsDc8deoU/8SiaqI8wpIH8EKuxsbGpKQkWdsiY5REWEZGRvwrVbS0tHoejiIdpBDERiFQ/kloKXPv3r3jx48HBQXZ2toCQGtra11dHV4Cr1IoSYslP0RGRiKEsKoAID093c/PT7YmyQRSWCQSgRQWiURQngFS+SE2NpaIiNzQ0MBgMGRrj0wghSV+ZsyYQZyNeOPGDdV8QySFJX6MjIxwSGYAqKyslKktMoPsY5FIBLLFEjM6Ojr8QbDU1dVxLD9VgxwgJZEIpCskkQiksEgkAiksEolACotEIpDCIpEIpLBIJAIpLBKJQAqLRCL8PzirEuzgDH2kAAACfXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAA5IFYA4gZGNgYNIM3MwuYApRnQaAdUmhEszshISJxUdewQ+5gJmUOsfg4In4nBQIMRJMADJCQ5gIRjSX6uX2lOjoYMgzZMUgSbJDcDowozA5MWExMTsyADswoLI0sGEyNrAhO7CjOToAoLs6QCs7QGEwtHAoukAisbAytXBhO7cAK7eAYTBycDB08GExc3AxdPAi8fA69oBhOveAK/AAO/cAYTv2iCoBCDsAiDqBiDuASDpBSDoAwDjyyDCDMrMwMjiyQbKxcPBwsjG684uzC/qHgR0IlgV4IjrjLihN2ng9McVaZrO+Vwdtp7n5jh2Nem5uS/XsQ2z6TXMVVSz8m64Nye7tqFjt4zdZ2UbzfaC7xc7Ki7UNXpx6Er9iHJkxxF5yo5GZXftRe/2en43VTZacn9f3b7DjY5tsjpOK2fstf+ZNkKx7RnCk4zfLba6/3f4MjtpuC0NpPLIff5NMerP2SdXN21HF4/muh4XUjaSUWDyeHFzYWOx3/JOM0OFXa4sDnX8d9hTac/EuEO/1KzHPf3aTrxFuoA3ZbsmCGo4bTrltb+nb3hjs5z1Jxm7g7bLz2v1/G7m5GTx/61+yu6pzjy5Ro5/Vl5cV9TcZlju7qWk9jv3ftXn690XOWk5VR8fZP9jLtxjpU31J3uTb5vz/7B37FcV83pEsM7+/6UBseQL9pOKjtVHK5ytjnGdes6pa46YNd5cIWj2CtNpx6vLLvdOzY4JttrOQktld3PNmmxY8dRQydbrun7LSraHF8Xmzk1eCg7vPdc5hhySdxJDAAAV7ts+IjymgAAAxJ6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VU1vkzEMvvdX5IxE5K8kzoFDt06A0FqJDa4IISR24bT/L2ynfd9kB9odEvfxY8d+7JXX3/Dj15+fL3+Ph+Sfr6cvL69p+/DpYHb4z1/vPX1nADg8Jj+ku4ePn8/p/vl4d7PcX76dn5+SnZjMx74r9vh8ebxZMN0nyNzRKBNqVpFmJ6GsvVWYfMmQmKGBW7Fn6E0dibkyyozk4ASuwdlyLeEjnAuJzkgx5HuDUiEzE2TUcDIo995maBnhUcpAiuo1vEBbwtdA1ko0nkRd3UfAEuEF2dInQzYGGokSIwykAi3RNZ4k48lYM4tcnwRGPyN7RBdF9Dwt46JXTqICMxIhwgtWT4ooIw1SK0jVJVH0NhmgRlbeJi+TVbpbTryykrGSPX/0yZ7PnkFize0tKwcrMLdRUxqNNFYS6QtUAmqV8mehZC2RtelEZO0+FkvA+lehD2iV3geUta/QOpQiN1brAw8oYFuf5b0yqdQazUbO0sLL9VdoUSpqOjtWOSRijW0QYhDJpXq9Jmx3XsxcBq8aQnFgrYRlmQAYchXobsdiJ6aRb2FdpwUHr9SwG7bihq0FF+wYLe6NxtM69evTel2LSzwkKzWEQLkbYkCLyAqVYNUSNTfNggxWc9I3yZbQTGl8lXcrMac+hlrXXKvV1hZGizl1ffeYSBdCe8PqLXPZRxdM3yaIrQK4yIs0XaK7GFr18ZaxCMROtGJ7eueVRZ+ryFZBY2dtNYb0eHx6+oC0bSQwHwtbYs0ZfRvP4pZ7KbK70Bbm4XxaFuVYnXeX82lfnf6lfT+SXXlfgv6r7JtO7PeybzO/1n1lmWfSfS/5FXXfPuj4uu8Y8rtOm0SMsk/rAu2+O6CnVlObJl88KE7zLRaG5ikOg0yzihYY54kUN/A0dhihaRouCQtPI4QeDMs0KOIWomkchkUm1WMk0CZxi1to1vCw0CRVjKT6pEj0FAgn4aEHJJ7khU5PZRIPOhlt0RkHM23M7AW2qvKin1ktfr/9k7bz4R9qEYBk3gEg+gAAAox6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxlks1uU0EMhV+FZVrdDv4bz0wjFlWFYAWVQGxKFyXKAtEkVQms+vAc3wjRazaT+Bxfj/2Nb1nO7z6sbt/fnb2+Xr255q84P56dlI1seHP69/cUOg99jrL372Scr55XF1y4T+ylU2+T1eKssr6g0rVDb6WRyGRWqg9dI1trs4k74s6hO3ldUyF1jXSv5JNpqWIdsg7WyO5mqC6lj+ZRnaTKJIS78RnSdYwWunPtoZuFbviVEWUaQuFCw2qUsdYdsgh6FIFMEnJ1HmtkMbKiSIdtXIyahdzQGg9kt1l25ZDdMSBalNFRGy1UDbkpamIgUQ61k7S1FHZp8zzoR0cxMBFUiMKooGhee2neDTKptmgDFSySxWxArhVIIGMEnrSVUWvcZ515HhE1LEarIbJbDMhiHipFZQwWE+DN1GyGTegd2b0OC5lscOAYHZRwYdM5u1XrM2tcDBnz8cSGr3BHMDXggOs0QnYbI2TtI9rT0YBDy5CozWX4DK+ZgweuQhxyNYsGyU61hUijCPHpdT12R/F8Mmd7lXkbjEaduOJXT++IFmPXzLuHHjt5et/KZ9P98bC7eTo8XlLZHR4+H45f7h+2+822MJSfv749HjY/tsfy6S3C7f7396fDfrfdH8v+/pJf+Fc3CF/67VKWtiRbl7Ym25a2Jbsu7ZpsX9qe7La0W7L70u7JHkt7JJspcaGckMFlcpzQcWbHCR5nepzwcebHCSBngljxvA/8kuq7q4jzRiSwnMlyQsuZLSe4nOlKoiuZriS68t9e5sXMdCXRlUxXEl3JdCXRlUxX0oJK3lBJJCWTlERSMklJJCWRfP4DxR0CH+zBHI0AAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
@@ -787,7 +787,7 @@
        "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -797,67 +797,67 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
        "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>B</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAZXUlEQVR4nO2dd1xUVxbHf9NgQKVYQEZDtcSGJWrEtqIYNVaMGDGixkLcRZNNNMuaNWtAsyFxI1hREmNPjJpGRIJiwUCINRAFRGQAZQdQQWkiAzN3/3iIw1CkzJs38+Z+//Az3vvePQf9ce555925V0AIAYWia4RcO0DhJ1RYFFagwqKwAhUWhRWosCisQIVFYQUqLAorUGFRWIEKqylkMtnatWu1Gjdt2mRvb19cXMyJS8YCFVZTFBQUlJSUaDWWlZXdu3dPrVZz4pKxQIVFYQUqLAorUGFRWEFAVzc0gUgkIoQIBALNRkIIIaSoqMjW1pYrxwwfMdcOGDqTJ09evny5ZsuRI0eOHj3KlT/GAhXWc3BxcfH29tZsSUpK4soZI4LmWBRWoMKisAIVFoUVqLCaYu7cuS+99JJWY//+/efOnWtmZsaJS8YCLTc0i5iYmO+//37SpEmzZ8/m2hfjgEasZpGcnBwREXHx4kWuHTEaqLAorECFRWEFKiwKK1BhUViBCovCClRYFFagwqKwAhUWhRWosCisQIVFYQUqLAorUGFRWIEKi8IKVFgUVqDCorACFRaFFaiwKKxAhUVhBSosCitQYVFYgQrr+VRXV8fFxQFITU3l2hejgQrrOSQnJ3t4eJw8edLCwiIqKio0NJRrj4wEQmkEpVIZEhLCfDFVJpP97W9/EwqFAD766COuXTMCqLAaJiEhoW/fvgAEAoG/v39JSQkh5PDhw2KxGEBgYCDXDho6VFjalJeXBwYGikQiAD169Dh37pxm75EjRyQSCYA1a9Zw5KBxQIVVh+hoMmpUuoWFhVgsDgwMfPLkSW1XcXEx8+Hnn382NzcHsGLFCpVKxZGnhg4VVg0PHhA/PwIQgPj5HUxOTq7tevjwob+/v4uLS1lZGdNy8uRJqVQKYNmyZVRbDUKFRQghR48SOzsCEAsLEhJCqqufdR0/frxr164ApFLpmTNnattPnTplaWkJYPXq/ZrXUxj4Lyw/P2JrSyIi6jSGhxNbW5KfTxQKMnt2TaAaM4bcvPnsmvz8fB8fH+bZedSoUWlpaVojnz9/fuTINe3bEx8folSy/5MYFfwXFqMba2uiUDxrDA0lAAkNJdbWBCA2NuSLL4haXdOrVpM9e8jkyR8CsLKy2rlzp7q2ry6XL5OOHQlApk4lFRXs/zDGg0kIy8WF2NuTN9541sgI6+OPCUCmTSN37z7ryswkEyYw0+LjBQtW3NXsa4hr10jnzgQgkyeTx4/Z+RmMEJMQ1oABJDycACQ2tqaREVZuLjl16tmVKhXZvZu0b08AYmtLdu9uronUVOLgQAAydiwpKdGx/0aKqQirupoMGkR69SJMAYERlubkSAiZMaMm2XrjDXL/fsus3LxJunUjABk1ijytS5g0pvKuUCTC9u3IyEBISKPXLF8OmQw//IBDh9C5c8vG790b8fFwdUVCAsaPR2FhG/01ekxFWABGjcKiRQgJgVze8AXTpuH2bcya1crxnZ1x9izc3HD1Kry88M03iIhAWVmdaxISsHdvK8c3LkxIWAA++wwWFlizptELLCzaNL6TE+Lj0a8ffHzwySd46y2sX1/ngm++wdtvt8mEsWBawurSBR9/jB9+wLlzbJno2hUXL+KDDwDA0hJbt8I0T0gxLWEBeOstDBuGyEgWTbRrV/PBywu9e2PFCpjgaawmJyyhEOHhEIn0YUssxpYtuHgRERH6MGdQ8F9YHh545ZU6LS+9hE8+gY8PpFLWrU+YgJkzsXYt8vNZt2VQ8P9YOc1UPSgI+fn4/HO8/77+HAgLQ79+WL0ahw/rzyjn8D9iaRIRgV278PChXo06O+ODD/D117hwQa92ucW0hNWhAwCUlurb7vvvo3dvvPuuCWXx/J8KNeFKWGZm2L4dEyeaUKZlihGrpIQD015eeP11KBQcmOYE0xKWlRXARcRiCAuDtTU3pvUPnQrZ4sgRmJvXaenaFVevchMv9Y9pRSx9CqtvX7i5AUBCApycwByg6eaGwYP1YZ1zTFFYeo4Z1dW4cwdFRXo1yjmmKCw951jM4dFKpV6Nco5pCYuT5J0Ki/+wGrGKihAbi+vXtdslEoAKi9+wKqyzZzFxIoKDtdtpxOI/rCbvjQmICov/sJpjNS2sqipWjBospiUsVqfCxnIpGrH4D6vColOhJqYoLFZzrPpTHhUW/+Ewx6LC4jNiMaRSqFSoqND94I0JSCyGUIjqahNa5QdTExbYnA2biEwmGLRMVFhszIZNC8vG5qFSSXRv1VAxOWGxl2aZmT1wc+vXseOI+l0SSedHjzoqlSa0VYhpLfQDmxFLIkFmZmqnTp3qdzGnEChNaS40OWENHQpzc1ha6n7kJtRDhcVbLlxAQQEmTsTmzc8aU1ORkgJvb4h18c9AhaWJqeRYGzZg7lwEBtZpPH4cc+eislI3Jp4rrCpTel9oKsICYG6OL7/Eb7+xNb5QKBSLxYSQ6upqrS4asfjMSy9h6FCsWMHiQoPGBESFxWcEAoSF4cYNhIWxZYIKqxYTEhYADw+88QaCgpCTw8r4VFi1mJawAGzaBLGYrY1AqbBqMZVyQy1duyI4GO+8g+ho3Q++ZMmSyspKy3pVMioskyAgAPv2YfVqzJmj45GDgoIabDdBYXE5Ff7+++/fffedVmNpaek333yTkZHBnl2RCDt2ID0dBw+yZ6QOVFh6ZefOnUuXLtVqzMvLmz9/fkxMDKumPTywZAmys1k18gzmtF8qLF5x/jyyshpo//TTZ+eaPHnCogNKpTIpKalbt27x8fEsmjEweC6sK1cwfTpGjcJ772mXrzp2RFwcTp9GQgJcXXHpEisOVFRUzJo1KykpSaFQ7N2799ChQ6yYMTz4LKzMTEybhrIyeHpi0iQMHap9Qd++8PLCt98iLw+zZyM3V8cOlJeXT58+PTo62s7Obu3atYSQJUuW/PLLLzo2Y5Bw/FSoVCq3bdum2XL//n2djHzvHqZMQUEBvLywdy+Ejf8G7dqFnBycOYMpUxAfr7NN9x4+fPjqq6/+/vvvDg4Op06d6t+/v1qtDgkJee2112JjYz08PHRjxmDh8Eg7Pz8/gUDgWBeZTAZg27ZtbRm5uJgMHkwAMmwYKS19/vWFhaR3bwKQKVNIVVVbLNeQn5/v7u4OwNnZ+fbt20yjWq1+8803AXTu3Pmm5unTfIRjYVlbW2s1pqent1FYlZVk4kQCkB49SEFBc++Sy2sOsvf3b7XlGnJycnr27AmgT58+ubm5ml1KpXLKlCkAXF1d8/Ly2mqpIY4ePZqQkMDGyC3CcHOsrAaf5Z6HWo0FC3D6NGQynD4NO7vm3ujighMnYGmJiAhs2dIKyzVkZWWNGzcuIyNjyJAhcXFx3bp10+yVSCTHjx8fOXKkXC6fNGnSo0ePWm+pHkwWce3atYKCApVKVcrVJr4ADDZ5LykpGTx48IQJE5gA1nyCguKOHYONDX75Bc7OLTM6bBj27YNAgPfew08/texehtTU1NGjR2dlZY0ePfrs2bNdunSpf42lpeWPP/7Yq1evW7furFnzSIe1rffff3/69On37t27cuXKmDFj9u/fr7OhWwGH0bKJqTAgIMDGxgaAhYVFcHDwE+Yk5+cRHBwMwMtrQ1xc673asIEAxNKSXLzYshsvX77MfJPC09Oz9HmZnVwu9/S8D5D584la3XpvNVGr1ampqePHj583b969e/d0M2hrMVBhbdu2rbCw0N/fXyAQAOjRo0d0dHTTo+3evRuASCQ6fvx4Gx1bvJgAxNPzwd27d5t5S1xcnJWVFYDp06dXVFQ055Y//yQ2NgQgAQFt8FUDpVK5cOHCI0eOvPnmm9u3b9fNoK2FS2FlZGRcunRJq7GiouK3336rTWwvXLjQv39/JrhOmzYtJyenwaF++uknsViMNj9OMlRWkiVLbkulNgMHDiwpKXnu9VFRURYWFgDmz59f1ZKnynPniLk5AcimTW1w9yllZWXr16+Pj49PS0s7dOiQDkZsA1wKq5kolcqwsLAOHToAaNeu3fr16ysrKzUvSExMZFaqBAcH68pocXExI+jJkyc3rZUff/zR3NwcwFtvvaVSqVpq6MgRIhQSgYDs29cGdwkpKyvbvn177969+/Xr15xfBrYxAmEx5Obm+vn5MaHL3d299on6+vXrtra2AFasWKFbi3K53M7ODsDy5csbu+bgwYNMpPzHP/6hbm2utGMHAYhEQn75pTW3V1RUhIeH9+vXz8HBwcHBYdGiRSwVMlqE0QiLITY2tnfv3gAEAoGfn19SUtILL7wAYObMmdXV1To3d+nSJSYWhoWF1e/dsWOHUCgEEBgY2EZDgYE1TwyJiS24S6kkhw4dGTJkCCOp11577cqVK230RFcYmbAIIY8fP163bh0z+zDLUTw9PZv52NgKjh49KhAIhELhDz/8oNkeEhLC6Hvz5s1tt6JWk4ULCUBef51kZhKFQvuC7Ow6xV61mhw9Snr1Iq+8ctzBwWH8+PGRkZFtd0OHGJ+wGDIyMsaNG+fk5GRvb//o0SNWbW3YsIEpfFx8WoH497//zTyBfvnll7qyolSSzz4jqak1oUsur9Pr4ED8/Go+nzhBBg4kAAHImDGVkZGRrZ6F2cNYhUUIKS8vNzMzE4vFxcXFbNvy9/cH4ODgkJ2d/c477wAwMzP79ttvdW4oI4MARCAg06fXaWeE9dtvZNy4Gkl1705279bNm002MGJhEUJGjRoF4MSJE2wbUiqVEyZMAFBbto2KimLDECOsuXMJQDTnXgcH4u1NhEICkC5dSGgoaV6xjDMM9JVOM/H09ARw7ty5+l3R0dGBgYG6Wg0skUi+//57Nzc3kUhkYWERGRn56quv6mTkBpk2DePH4+23UVb2rLF9e/j7IygImZn4+98hlbJnXxdwrew2cebMGQBDhgyp38VUoS5cuKBDc8uWLYMungGbgIlYBw6QP/8kYjF5772ads0cyygw7og1cuRIqVSalJRUWKi9Wd748ePRSDBrNf/73/8AMPMv2wwYgJUrsXUr/vhDD9Z0j3ELSyqVjhgxQq1W//rrr1pdTcySrYb5UlqPHj10OGYTBAfD3h4BASBGuHepcQsLjQto3LhxIpEoMTGxooVbbysUitjYWEW98+arq6tzcnKEQqGLi0tbHG4+HTrgv/9FYiK+/VY/BnUJb4VlY2Pj7u5eWVmZmJjYogGjoqImTpy4bt06rfbs7OyqqipHR0epHtPmefPg5YW1a41vK2+jF9bLL7/crl27GzduFBQUaHW1Ls1qbL5j2pk1x/pk507k5aFeDmnoGL2wzMzMRo4cSQi5cOGCVlfr0qzbt2+jIQHpOcGqpWdPrF6tZ5s6wOiFhcYFNHbsWLFYfOnSpfLy8uaP1lhkakxwuqVTJ4SEYMiQOo3/+hc+/RRz57JqWddwXe/QAUwW9eKLL9bvGj58OICYmJhmDqVWq5kle/WXNE2ePBmAPt/1BgURZ2eye7feDOoSPkSsoUOHWllZ3bx5k6kzadLSNCs3N7eioqJr167MukJN9BOxNCkpQXY2W4fgsQ0fhCUWi0ePHg0gLi5Oq4uZJc+ePdvMoRqbB/VfawBgbg4Y7dFOfBAWGk+zRo8ebWZmdvXq1WZ+g6+xsJSVlVVVVeXk5MSsA9MPRn1mGK+EVT8yWVpaDhs2TKVSJSQkNGecpmsNen4kZDSsq/MN9AxPhDV48GBbW1u5XJ5Tbz/kFqVZjUUs/SdYeBqxqLC4RCgUjh07FsD58+e1ulqUZjWWY3EYsehUyDGNpVkeHh5SqTQ5Obn+Cggt1Gq1XC4H4OrqqtXFScSysjrRp89Qc/MN+jSqK/gmrPqRqYkVEFowtQYHB4f6tQZO3ucQUpSWdvX+fRb3+WUP/ghrwIABdnZ2d+/ezczM1Opq5rudxtRTVVV1584dkUikz1oDAOYJtNI4kyz+CEsgEDBpVn0BMfn7c9OspmsNjo6OzK7aeoMRlpHutcwfYaHxyDR8+PB27dqlpKTUXwGhSWMZOicJFmjEMhxqKwuk7prLJlZAaNL0ugb9C4sJkFRY3PPiiy/KZLK8vLz627U1J81qel2D/hfM0IhlQPzlL39BQ+nUc6tZTK1BIBC4ublpdek5YikUiuvXrwPo27fvsWPHQkNDAahUqj///PPevXv68UEHcLy6QtdEREQAmDNnjlZ7VVUVszGa1m6ztWRnZwOQyWT1u5iylt72OV61alX9/xcmO9y4caN+fGg7fDv9qzbNUqvVQo3N3cVicUhIiL29PbPnUX0aS7C4qjUYO3wTlpubm5OTU05OTkpKyoABAzS7/vrXvzZxY2PzXVZWVnV1taurq55rDcYO33IsNJ5mNY2hfYfC2OFbxALg6el54MCBc+fOMdvCNBND+w4Fs3tALbrdEV4P8FBYzLYwcXFxKpVKJBI1866wsDB/f/+h9U5y4qo66uXlpWeLuoWHwnrhhRdcXV3lcnlycvIQre+7NI6Li0uD6TlXEUvrXIkHDx4Y19MDD3MsPH023L9/f9sLP1xFrPZ1qX+AuYHDw4gFwMXFpXv37lu3bt26dau5uXm3bt1cXV1dXV0dHBxkMhnz2dnZWdjEYXMAAKVSydQanFt6fIrJw09hXb58OTc3VyaTPXnypKioSC6XMyv4NJFKpc7Ozs7Ozk5OTrV/Ojs7Ozg41F7D1Brc3NxoraGl8FBYd+7c+fnnn83MzK5du2Zvb19SUpKTk5P9FOZzTk7OgwcPbt68efPmTa3bpVKpk5MTozNmpxr9J1g8gIfC2rVrl0ql8vX1tbe3B2BlZTVgwACtYimAJ0+eKBQK+VMUCkVeXp5cLs/KykpPT699jS2TyZgjAvSGr6/vwIEDtRqtrKy++OKL+g+tBouAGOOuXo1TWVnp5ORUUFCQmJg4YsSIVozw+PHj2vCWlJS0Z88eiURy69YtR0dHnXvLZ7h+WaljDhw4AGDQoEG6GtDX1xcsnKfCe/gmrJdffhnAnj17dDXgrVu3xGKxRCKRa23pT2kSXtWx/vjjj4sXL9rY2MybN09XY/bs2XPevHlVVVXMGSeUZsIrYW3btg3A0qVLdVtOXL9+vVgs3rt3b+uOqTZRuA6ZOqOoqMjS0lIgEKSnp+t88IULFwJYtmyZzkfmK/wR1qZNmwBMmTKFjcFv377NZFqZmZlsjM8/eDIVkqeLkgMCAtgY383NbcGCBVVVVRs3bmRjfP7BkzrWyZMnp06d6uTklJmZ2fylMi0iMzOzT58+zEnxvXr1YsMEn+BJxNqxYweAgIAAllQFwM3Nzc/PT6VS/ec//2HJBJ/gQ8SSy+U9e/Y0Nze/e/dup06d2DOUk5PTq1cvlUqVkpLCnCBMaQw+RKzw8HC1Wj1v3jxWVQXAyclp4cKFKpXq448/ZtUQD+CDsJydnR0dHZv+Eo6u+PDDD83MzL7++uv6yyIomog++ugjrn1oAbm5uX5+fh07dtRcyjJ8+PAnT56cOnVq5syZbDtgbW2dm5srEAjKy8uZdaqUBjGyiFVaWhoZGVm/An7lypWYmBj9+PDhhx8WFBTs37+fWQ5PaRAjE5Yh0L17d19fX5VKxeyqQGkQKqzW8Pbbb5uZmUVGRqalpXHti4FChdUaZDLZ/Pnz1Wr1li1buPbFQDGyOlZaWlrfvn1dXV2ZZce1pKenW1hY5Obm6s2TgoICDw8PpVJ5+vTpPn366M2usWCUa9579OgxaNAgzZbCwsIWnR3Xduzt7efPn//VV1+FhoYyrykpdeD2HXhLSU1NBRAeHq7VPnv27G7duunZmfz8fBcXF5lMlpKSomfThg/NsVqPvb39ggULCCGbN2/m2heDgwqrTaxcudLCwiI6OjolJYVrXwwLKqw2YWdn5+fnRwj5/PPPufbFsDAyYUkkEkdHx/pHknTp0qV79+6cuLRq1ap27drFxMQkJSVx4oBhYmTlBsNkw4YN4eHhr7zyyr59+7j2xVCgwtIBRUVFI0aMKCsri4qKGjx4MNfuGARGNhUaJh07dly4cGGfPn2qq6u59sVQoBFLN1RWVkokEmbDLYVC8eDBA3d3d66d4hIasXSDubm5UChkfksvXbq0a9curj3iGBqxWkBBQUFQUFBSUpK9vf3atWuHDx9+8ODBw4cPM72rVq0qLi6OjY319PRMSUmxsbFRKBRbt27l1meuMMp3hVwRFhbm7u6+efPmX3/9denSpUlJSTdu3PD19Z01axYAS0vLhw8f2tjYfPXVV1lZWf/85z+9vb25dpkzqLBawCeffMJ8mDhxYmlpaWFhYX5+/tSpU62trZl2Ozu7Dh06iEQib2/vrKwsHx8f7pzlGJpjtYa0tDRbW9suXboUFRV9+umnEyZMmDNnDnPM03fffffuu++uXLnyypUrWltqmxQ0x2oxJSUl3t7eK1as8PHxKSsrMzc3l0gkW7ZsiY+PP3bsGNfeGQo0YrWMwsLCRYsWzZgxg5nm2rdvL5FIAHh5eTE7wlMYqLBawLVr16ZOnTpjxozFixcXFxc/evRo/fr1OTk5lZWVBw4c8PDw4NpBA4JOhS1g8eLF+fn5tX/duHHjtWvXTpw4cf/+/TFjxqxbt445a5MCKiwKS9CpkMIKVFgUVqDCorACFRaFFaiwKKxAhUVhBSosCitQYVFY4f99EGuvAjdvCwAAAYp6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAASAWBOIGRjYHDSDNzMIOoZlhNEyckQFEMzKii6PTMHUY+hgg+mB8BgMQzcAoyQEkHUvyc/1Kc3I0ZBi0gRKMYAkggSHJzcCYwMCWwMCewcTIlMDIlcDEnMHEzMLAzJrAypbBxMajwM6RwMHJwMGVwcTFzcDDy8DHw8DOzyDCxMbEzMrGwMjKzsDIxSF+CmQDFDMIXJm1zO7574mOqls1naZPOL+P8ewMx03vdJwU5b/ss7++2LE7R8epYXuDne3s5Y6eeRpOnnMb7NbobnC8/ljdyaW7xv7Am4WOyf9VnAptm+wPWk53nFin6vRpg4Cd/dZ2x687tZ0K11jvXzm5w9HawMDpzvXO/SYMTY66C42cOh079t/+Oclx2kMDJ8ePt/enak1zjH1r7GQieM2eJX2io+l6RSed1Jv2O2s6HW1qlZzO1Is4/Fec4qh5R8bpzQFPe6NnVY4z3mk6iQEAxKhuiqFW4mIAAAHxelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZS7rhMxEIb7PIXrIx1rbvbYBUUuR4BQNhIJtAiBBKeAivcXM+tdbDdsEsn2fnPxP79Sfvz6/uXbz6+vv4+H4M/Hy4fXP+Hfw5eDncN/vrXW8JkB4HANvginl7fvl3B+HE/7yfn2aXncA+aAajH2mdnj43bdTzCcA0SmJGCbEkmK5Q5CUShXGGIpLOEZokBDa0QAdJQjMeOI8oZqtmSBbFV2FCHDiMpanxJKI2uC0uojqI5kCu8aSU5SBCJ2EmNVSiOZrbxlKjm1nCRe1EmSKiOpVh0joKZ2+wpMjWTlPJJl7RMFvSbmWDOn1mdlnMhqpF1emyaoEZTWy0sE0UknBLvTszWgq9SW1i6ysTnp1Cr6pJzNsjXLStBYIuCJpZZXsXBjTUptbC1YJtaHhTErbQ4wMVZdbWqEc7tiaQ2tRdrNsKTa0NyG0dEUngKZr2BrIGF2lbhGwjQ5wGz6ZNJqKateKeayjtgt6O27ga/H+/0NpT3kZblMJm62Pt2WS7e12I+6d32r3Z++Ld2DYgR3o/kWsdtJPKJ7xpOnbgwPz336tumV0FuxCB7GKBZTh1GhBeE4D/EDHFRHD0MaxEXnUAYNcT3udbzNYi9GzUaFfL//adj68BfzA93B34syHQAAAYd6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxlkT1vGzEMhv9KxyRQBH5TOk9Z2k6F96JDangIipyD1O2UH1/yDBSWvByk5+HxyPcevt19//rj/oDrYTusK10O/5+kD+np08cdVSbggq0qmhXulVB3WM1JkqIrF4EqhJi4t8BesWlPbEQcGKIsqzswFcHKzraD2ptpIagkYIlJugQmRUncFVoRqgjuF0yFqEL0zOrupLvH+LRby3JpgEU4ym3DoDFKj+sFEzPuHmMWk20W9hhFKsV6iR3btqY7ePLesGUbj9dyI3DC5CB+aePWC1pMBRs39ZwdBTlxN9acvTPmpt5adNFqLXYILI2DMukWIsm2p5D1+/J8Pr3u309vC9Tff36+nQ6/juf65Smux/Xvy/tpfT2u57o+L3jln/Zxvfa60Khp0jxqHjTKIqOX2evodfY2epu9j95n30bfZt9H32ePMMUDNxVzgHhTMWWIdFMxxYhTjrbgdZCf93mf/+MUJc5ZfvwDP0kM0hVncEoAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
        "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -868,7 +868,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -888,7 +888,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "fe101370-d8fb-4394-9e9c-6ba82d683c8a",
    "metadata": {},
    "outputs": [
@@ -921,45 +921,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>990</td>\n",
-       "      <td>11</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>1188</td>\n",
+       "      <td>13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>845</td>\n",
-       "      <td>17</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>1078</td>\n",
+       "      <td>22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>598</td>\n",
+       "      <td>743</td>\n",
+       "      <td>735</td>\n",
        "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>300</td>\n",
-       "      <td>6</td>\n",
+       "      <td>355</td>\n",
+       "      <td>347</td>\n",
+       "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>42</td>\n",
+       "      <td>47</td>\n",
+       "      <td>47</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>42</td>\n",
+       "      <td>59</td>\n",
+       "      <td>59</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2817</td>\n",
-       "      <td>42</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>3454</td>\n",
+       "      <td>51</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -967,16 +967,16 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_pains  rejected_pains\n",
-       "AP             1001             990              11\n",
-       "FP              862             845              17\n",
-       "SE              606             598               8\n",
-       "GA              306             300               6\n",
-       "B1               42              42               0\n",
-       "B2               42              42               0\n",
-       "Total          2859            2817              42"
+       "AP             1201            1188              13\n",
+       "FP             1100            1078              22\n",
+       "SE              743             735               8\n",
+       "GA              355             347               8\n",
+       "B1               47              47               0\n",
+       "B2               59              59               0\n",
+       "Total          3505            3454              51"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1020,7 +1020,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "id": "d428a2ff-ec06-40b7-8af8-7e5ee3b0d349",
    "metadata": {},
    "outputs": [
@@ -1059,7 +1059,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "id": "6663e5e8-07f0-4f1c-9f8c-3e2fd7ba39f6",
    "metadata": {},
    "outputs": [
@@ -1087,7 +1087,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "id": "ad5d9fb4-a10d-4177-ba71-3f6374cca247",
    "metadata": {},
    "outputs": [
@@ -1095,7 +1095,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Total number fragments with brenk substructures: 797\n"
+      "Total number fragments with brenk substructures: 932\n"
      ]
     },
     {
@@ -1129,27 +1129,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>fragment</th>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>substructure</th>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>substructure_name</th>\n",
        "      <td>Michael-acceptor</td>\n",
        "      <td>stilbene</td>\n",
+       "      <td>imine</td>\n",
+       "      <td>quaternary-nitrogen</td>\n",
        "      <td>aldehyde</td>\n",
-       "      <td>aldehyde</td>\n",
-       "      <td>thiol</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1159,7 +1159,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1179,7 +1179,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "id": "8860f503-ffd0-46ed-9a75-149241d6a0ec",
    "metadata": {},
    "outputs": [
@@ -1231,15 +1231,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -1254,9 +1254,9 @@
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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AyoqEEUhZ2dE70PTCGHpD9c0NzdPnjwZAJydndl/cuzbtw8AJk6cyPJ9zefu3bsURTk7O3M1Gm7fnvnii8cXLqR5FmGosPSHa2pqasaOHQsAbm5uXeabMxO5XD5x4sQ+ffqo72e6d+8eVjznSV1NICQkBAC48sDhVCg0Zh/BGCQs/eGa+/fv4+22Pj4+169fp9c+nQwZMgSeFpJQgV3/JSUlLBhALxs2bACA119/nf1bV1dX29jY2Nra0r7u6VpY+sM1paWlfn5+ABAQEGBIkJgW5s+fDwDJycnqjTijxo4dO9ixgUbKysooinJ0dGQ/WWhaWhoARERE0N5zFwUE8CG48vLycePG/fLLL+qHfQGgsLAwLCystLQ0JCTk9OnT6tuqGAUPyho1layrAoA63t7eISEhEonkyJEjLN/6hx9+AABclYNm9IiOk3CNIRQXFwOAt7e3eiPWWVBQEJuW0MXGjRsBYNasWWzeVCKRODk5URRVzkC6mU6F9fPPP+Nwzbx587gK13SGUqnEpYjUfyOtra329vY8Ho/ljci0wMloiB9XoaGhTHTe6VBYUVHRo0eP6OjoHTt2qA7YYHbu3DljxozW1tbY2Nhvv/1Wdf6JNSiKwisp9YFPIBCMGDFCqVReuHCBZXvMx9vbe8yYMRKJ5Oeff2btpgyOg3rqFR48eLC6ujoiIkJ1MhNTW1sbHx8vl8s//vhjVbiQfXTOqFRlBzkxyUzw4gM75FhAoVBkZWUB+8Lq7EMSiURZWVnbt2//97//zYRBBvIHm78DwMyZMymKOnz4cHNzMwu3O3Xq1OPHjwMDA7EjiX46GyOPHTsGACEhIUwMwOZTV1fH4/EEAsEfxk2KnkY82YmGLVmyBABWrlzJUP+dPrFCQkL4fP6lS5daWloYUbR5uLi4+Pv7S6XSX3/9VdXo6enp5eVVV1d38+ZNDm0zGdZGQ4TQjz/+CACvvfYaQ7foVFhCoXDIkCEymcxSCitqoWc0tN5pFo/Hy8rKampqMr+3xsbGWi0qKytv376dmZlZVlbWr18/9fN29KKvJnRYWNiVK1fy8vL+9Kc/MXR7cwgLC9uxY4f2/H3fvn15eXnz5s3jyjCT8fLyGjlyZEFBwfDhw5GusufNzc1tbW0ajXK5vLGx0dh7OTs7BwcHa6zMaESfsEJDQ1NTUy32r/+PN39XKpX19fW9evXCh8PMRCgUaviJAMDOzs7Jyam1tfXhw4f5+flNTU3quUxohNL5l4G5ceOGv7+/p6cnnhRbGgihnj171tbWVlRUqGJNUqnUxcVFJpPV1NS4uLhwa6Gx7NixY/78+X379t2/fz8uF6WBo6MjrluhDp/PVz8YZwgIobCwsPPnz8fHx+PNwPSjZ2KvVCrxQau7d+8ytHYwE3yMQmPLIXaU5OTkcGWVaTQ2NuLKqHtYqaJUUFDA4/Hs7OwY2pCiz72p08FtUegc+Kx0/p6UlPTgwYPQ0NBZs2axcLvg4OC//e1vbW1tqiqb9NKF39zCPySd5lmj/72ioiI5OZmiqI0bNzI3odYgMTHR1dU1Ozv78OHDtHeub44FAMeOHXv55ZfHjBljmQ+turq6nj172tra1tfXqyYf5eXl/fv3d3V1rampYe1DMpPZs2fv2bNn9uzZuHywOm1tbc3NzY2NjXK5XOMlmUym0zGh8+LAwED19M+YTZs2vfPOO35+fkVFRXhXAW3oHykbGhr4fL6dnZ3l5K7QIDAwEADOnz+v3ujl5QUA7GxnNZ9z585RFGVvb3/nzh3tV3fv3k3LB61zC6RMJnvuuecAYO3atfT+UPrcDQAgFAoDAwOvXr168eJFy/RmhYaGlpSU5OXl4emgqnH//v15eXlMBcLoAyG0fPly/K+Pj4/2Bfb29iKRSKfvwMbGRj3vpgqdF+OVgXYPycnJ4eHha9eunTNnjk4DTKRL6cXExADAJ598Qq+i6WL79u2gtWEc75vrLFOjRYEfSO7u7vX19VzZMGPGDO3foZl0Layvv/4aAGbMmEHjXWmkqKgIAHx8fNQbz5w5AwBD6UoixhgtLS2+vr7A9Vb9srIyXC/jxIkTdPXZtbCuXbsGAJ6ennTdkl4UCsX69es1fiOtra0CgYDH43H4GDAEnOV22LBhnFfU+eijjwAAR4dp6bBrYSmVyp49ewIAa4dwaGHMmDEAcOzYMa4N6ZTKykrsMc/OzubaFtTa2jpo0CAA2LJlCy0ddr3/U+UmtS7PkIV74ABg5cqVDQ0NU6dOffnll7m2BQQCAT7euGrVqkePHpnfoUEbi60xsiuTyYyNoLHJ5cuXd+7caWtri3M3WAJTp06dNGlSbW3t+++/T0N3hjzWcnJygLHjHEyQkpJCURRFURfpSqlJN/gp9Y9//INrQzpw8+ZNPDfV8AuagEHCwm5SgUBgsW5SdVS5u9avX8+1LbrBuzdFItHjx4+5tkUTnIUqLCzMzGTmhiYFCQoKAoCzZ8+aczOmsYrcyW1tbTh16ubNm7m2RQcNDQ048pOWlmZOP4YKa8GCBWDBblJkXqlLNklOTgaAwYMHs3/Q10C++eYbAHB3dzfn6K+hwvrqq68AICoqyuQ7MYp6qctcjUJVlkRNTQ323VhgIUwVSqUSV63GsSbTMFRYluwmZajUJRPgzU8TJkzg2pAuuHjxIp/Pt7GxuXr1qmk9GCospVLp5uYGHdMlqLh79y5XiWVZKHVJF9evX7e1teXz+VeuXOHalq7BMeLw8HDT3m5EqsiJEycCQEZGhvZLc+fOVZVSYiJ1SWcUFxfjHTLslLo0k8jISLCS0DhCqLq6Go/apqWhN0JYq1evBoBly5ZpvxQVFaVKDYI99YmJifpLI5sPh6UuTeD48eMAIBQKHzx4wLUthvLZZ58BQP/+/Zubm419rxHCys7Oxh4Ona+yXJk3JycHn1uyzFKXGigUClySKSkpiWtbjEAul+MkoKtXrzb2vUYIq76+HrtJ9VfJbmlpycnJiYuLUz/A1Lt3b7FYnJmZKZVKjTVRG6sodanOtm3bAMDX19cqPMzq/PLLLxRFOTg4/P7770a90bg879hNum/fPkMuxpV54+PjcdgcY35l3i1btlhFqUsVDQ0NePcmy7nv6eKNN94A40sVGSesdevW4dP+xo5x2pV57e3tcWVeo+Yclh+u0WbFihW0BEm4oqKiAs86jhw5Yvi7jC55smLFCpymEePj47N06dITJ04YuFXt5s2b69evDwsLU6/MO378+E2bNunflGcV4RptysrKHB0dKYoyP6zLIbjQcGBgoOHRAlOKNKmqz+OlPsbNzU0sFmdkZDQ2NhrSyaNHj3BlXnxsS3+qcWsJ12iDT59aSLVLk2ltbfX19bWxsTl+/LiBbzG3ECYe4/AZLIyq+nxlZaUhPdTV1e3evXvNmjWdXWAt4RptlEplbGysvb19aWkp17YYSmfpFIYPH+7q6nrmzBkD+6Gt2Liq+rzqjCgtLlMrCtfoBJ/a054RNjU1rVy50tKevrdu3RIIBLNmzdJIiYhzwfXu3dtwfyFtwlKhp/p8cXGxUV1ZUbimM/AeSaFQqBEYwEF903yPzIET/EV3rFwolUrxut6oOoH0C0uFmS5T6wrX6GHq1KkAIBaL1RsVCgWuVPjBBx9wZZgGJ0+eBABnZ+f79++rt+PN0wEBAUa5DBkUloqWlpbMzMyYmBh3d3cDXabWFa7Rz927d/HC8NSpU+rtZ8+epShKIBBo171iH4VCMWrUKAD4+OOP1durqqpwmjGjfA2IHWGpMNBlal3hGkP44IMPAGDEiBEaTpm5c+cCwLRp07gyTAUemr28vDSG5kWLFgHA5MmTje2QVWGpUCqVBQUF77//Pi4Qp1pOTp06deHChdYVrjEEiUSCTzxrTFMePnyInwdZWVlc2YYQam5uxgW20tPT1dtLSkpsbGxsbGyKioqM7ZMbYalz+/btlJSUl156CeexwCOgtYRrDAcvrNzc3B49eqTejmcwgwYN0h+BZRT8QB0zZozG7xxvlFq8eLEJfXIvLBX379/funXrV199dfLkSa5tYQRc+Pjtt99Wb5RKpf7+/gCwYcMGTqyqqKjAiRs0fIS4IIqrq6vGX4KBWJCw/vAUFxfjHaQaDrnOXBLsMGfOHNCqaCeXy/GGA5OPzxBhscrSpUsBYOzYsRqDjk6XBAsUFhbyeDx7e3uNXTGff/459g2ZPEATYbFKfX093kKjMU0uLS21t7enKOr06dNs2vP8888DwHvvvadhJHYMHThwwOSeibDYZseOHThCpbGbA1dT03ZJMMfevXsBoE+fPhqWLF++HHsQzemcCIttFAoFTrG0YsUK9XaVSyI1NZUFM6RSKa4Sv23bNvX20tJSnL4hPz/fnP6JsDigs+T9GRkZ2CXBQk6HxMREHMPVcBb+5S9/AYB58+aZ2T8RFjdER0cDQEREhEY73iAUGxvL6N0rKyuxY/bo0aPq7WfOnKEoytnZ2fz1KREWN1RWVrq6ugLAoUOH1NtVLolff/2Vubvjw6hTpkxRb1SFCz/66CPzb0GExRkpKSkA4Ofnp3F0Bx/D13ZJ0EVxcbHOQA3OYtyvX7+mpibz70KExRkymWzo0KGglby/vr4en5zbvXs3E/fFo21cXJx6o0QiweHCXbt20XIXIiwu+d///gcAjo6OGjUpvvzyS/zwMPAAgeHgsjnaOd9WrVoFACNHjqSrnDYRFsfoTN6vcklouC7NRCaT4e0kycnJ6u2qcCGN7lkiLI7pLHn/uXPneDyer68vjbseysvLR44cOWjQII3NlWKxGABmzpxJ140QEZYl0Fny/r1795p8XrwzFAqFRr7+ixcvYqfarVu3aLwRERb30J683yhwuFAjDGA+RFgWwcGDB/Gcuqqqis37Yl9/nz59aD9YQIRlKUyaNAkAFixYwNodpVLpwIEDGYpOEmFZCr/99htdyfsNZN26dTrDhbRAhGVB/POf/wSAUaNG0eVM0oPqXJdGuJAuuqgJTWCTxsZGf3//+/fvb9iwAe8yUKe5ubmtrU2jUalU1tfXa3clkUikUqmei7/77rsTJ0688sorTFQahy6LjRNYZteuXW+++Safz9euFk4vTk5OHh4ehw4dCggIYKJ/IizLAiF05cqVOXPmtLS0aLzk6OiIUz6pw+Px8IhmyMUUReEtFQDg4ODw6aefqrKU0Q4RFoERmBIsoZtDhEVgBCIsAiMQYREYgQiLwAhEWARGIMIiMAIRFoERiLAIjECERWAEIiwCIxBhERiBCIvACERYBEYgwiIwAhEWgRGIsAiMQIRFYAQiLAIjEGERGIEIi8AIRFgERiDCIjDC/wMxcbPP5aLR0QAAAXJ6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAISAWAeIGRjYGDSDNzMLmAKUZ0GiYuEMGiGZmxCJAmMHOAGYwMhFWw8TIAbGaiZuBUYWZgUmLiYmJmYeBWYWFkSWDiZE1gYlNhZmJR4WFWUCBWVCDiYU9gUVAgZUjg4mNN4GNP4OJnTODiYMzgYsvg4mLP4GbN4OJmy9BhJmVmYGRRYCNlYOTnYWRjYufjZebT/wR0CZGeKicvmtqf3B/nz2Ic+jxdPto17n7QOxXiRb7vYpPgMXnOHy1f1fL4ABiP/+g7fAxZxpYzZSGp3ZTC8/tB7Ezd77cfyWbF6xefl2MQzzrabD4lFuz7O+8tTwAYgfk6DqcF4Kwba6qHUio+AZWkzej+4DpN809IHb0idb9Up8cwXYtygk4UJLZADZzqlHjgWtH9oDVMysd2M9Qlglmrznl4TC/ZSJYTWPXZ/svNQlgvWIAr4RhqD+CbNsAAAHlelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfVTLjhQxDLzPV+QHuuW3k+M8Vgih7ZFg4IoQQmIvnPb/hd3DkKyISM+hbZft2FU9+voDvn7/+e3l1/FQ8ny8fHh5LX8PXQ7hh//8WmvlCwPA4bnkSzk9vXu/lfPteHp4ztfP2+1TwVoIyv68xR5v1+eHB8u5wOoIglZwRVQiDw/sp2dS4CJczbiWBVYGR4cJkAMYcScgkUhRM4ib/AuUvWJDA5ZCEXarNsFp4GiNmHrLytS4wqyz7aOIVBIvC66GVAUnQM8r4lpJm2dclWQ6dA0gZ0WkvaJWQ5hVbPssBM2bloXWBorCEyDCPo0Hki2RtaH7FJnMBMDA3DS7N1KVNoMmOYusbMTquSNAYJcZlMuWtUA0+sZwwCBAM2Tys/BKQWCaAWCaEol6b58tSbK6uLjOFop2X73mBXcdNcQ2h3rclFdkZ8/2yCGBGe1xp2sKCchMIkNDSFM2n7bLG+nfP4bTdbv0jyEf6pqnMLkrO6PS9RuyLdplmqZ1MUZm8S65NJG7sqJSzNgFRGnXQScSJeugBgy7J2DirbSBWMkuMvC3O2ygSbLvSIZEYxxXLnsnHXZ79/QqLT00NCL449Fx0eNa0378P8X74TeGde/ndN6EAwAAAXR6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxlkU1OAzEMha/CspXS4H8nrVgg9tADsIFRFwjRIiisengcWMXMYqJ537Mdv7m/vlvd3OFjvB/W9wstuMRD679zwavLaoMVRLEVrsAgZbeB6gQkUrCqGVDZhYIgaKEgKnHZYe1owIUqgFv/FYDMoouGEA6uyM4+StialR3VOLSV6E+d2yjBZiZDYHD0MUekkXiJSxlSk2Ei6FFE0V9RRhuH7jKU1tF9TIoq5FGkzTA2wNpIuxeoqiTkv5JC7DCGdcSuQ4sbgbmNwk6qGpJECC40JHEJNiQ2YhuV0SF2GiJXimw4tgNgorIuT+fT2/7j9L6F+vn1/H5aXg/neruPz8Px++XjdHw7HM9VtzhjnLBvacaUMM+YJ4y2lZlL5jpzzdxmbpn7zD3zNvOWeZ95zxxTegj/HDlA/OdIGSLlX5BSRM6GFCNKNqQcUbMhBYmWDSlJnKPUyw+7ThamD/6GIwAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
@@ -1265,7 +1265,7 @@
        "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -1276,71 +1276,71 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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pwsEgn379j3UttEve5iDsFxc8s6cEWdlzWclOovC8vDwGDp0aF1d3c8//8x8dN2Yg7CoeXZ32ei9E0IyMjIAhIaGMh8dHH69Y/IDpAAUCoWtra2lpaVcLrewYPS/SkFBgZ+fX9euXVmRNYDq6mqxWKxUKu/evav3EXB0YA41lo2NjbOzc1NTU1lZGcOhqXaQreoKQMeOHcPDw1Uq1Z49e9jKQSPmICwA1HRN5qsNFjtYzXCzNTQrYTH/tv/kyZNgtcYCEBER4eTkdPbs2YsX2Xku1oiZCIuV/ntRUdHt27c7der0+EJT5rG2tp48eTIATk12MBNhUQvu7jE7SErtwBYSEsLwE8PTUK3hAcM3oTceZiIsVvpYXOhgUQwfPjwlJeXMmTNsJ/I3ZiIsqilkuI/F+iMhgOvXr/fp08fHxycgIEAkEj1tcO/evT59+vTp0+fKlStMJmZiB2Fqg/kaq7y8/OrVq+3bt/f392cs6NMoFApKMY2NjRoNGhsbKQO5XM5kYmZSY3Xr1k0gEFArZJiJeOzYMUJIcHDw4wsJeZoxE2GJRCInJyeFQsHYSfHc6WBxEzMRFhhvDbnQweIy5iYsZvrvtbW1+fn51tbWzz33HAPhTBHzERaTY6QnT55UqVTPPfcctaUxz9OYyVMhmB0j5WA7KJFIHBwcni6XyWTMJwNzEpaOplCpVMbGxs6ePZva19pwONhz59rsBvMRlo6mMDk5+eOPP/7kk09efvnlVatWBQUFGRKooaEhJydHKBQGBwcb4se4fPnllxrnY5WXl7/99tvM52Pyu800Qw0D9urV6+lLBQUF06ZNax5wGj16tB570Tbz+++/AwgICDAgWaPRPKNB2/EnN2/epAzOnTvHZGLm03lvHm4gT42R+vr67ty58/bt2xKJxNHRUSqVvvTSSwMGDNixY0dTU1NbA3Gwg8VBzEdYdnZ2nTp1ksvlFVpOtXdzc1uzZs2tW7cSEhK6deuWn58/Y8YMd3f3NWvW1NTUtD4QBztYXITJ6pFWmpqavLy8nJ2dfXx8kpKSdG//qlAokpKSfH19qT+Cvb19TEwMVdu1GIXa8fb+/fvGy11/ONsUmo+w4uPj8ddJRgB69OixYcMG3Yd4qdXq1NTUUaNGUbdYW1tHRUXpPnQpKysLgLe3t7HT1xNeWPRSUlJC7fSyf//+pKQk6hTJ1ldFubm5UVFRQqEQgIWFxdixY6VSqUZLakvSefPm0fAl9IEXFr1Mnz4dQEREBPVRrVZLpVLqrKVWVkWEkBs3bsTExDQPpgcGBiYlJSmVysdtxo8fD2DHjh10fZM2wguLRjIyMgQCgY2NzdN/3MerIoFAoKMqaqasrEwikTg5OVG/R8+ePRMSEurr6wkharWaKv/zzz9p+i5tpb6+PjMzk9qgS6OBXC6nDBg+ONPkhaVUKqmpdqtXr9Zm05qq6AlkMllCQoKHhwd1y969ewkhFy5cANCNjrN7zA6TF9amTZuornqLm/Q/URV5eno2V0XaaGpq2r1796RJkygVbt68GcAbb7xhzC9gppi2sCoqKiihpKSktPIWuVyelJTk5eVFycvZ2VkikVRUVLTmXuoc6C1bthiQ8rOCaQtr7ty5AEaPHt3WG1UqVWpq6uDBgyl5tWvXLjo6usVD4anXkXQfAm0emLCwcnJyqHNQL1++rLeTEydOjB07ljofgBpo0HYa4I0bNwB07tzZJM6hZB1TFZZKpaLqm/fff99wb/n5+dHR0TY2NlQFNmzYsNTU1CcE9O2336IVxxfyULRZWG+//XZwcHB8fLw2g6VLlwYHB8fFxRmWWAts27aNekCTyWTG8llcXEy9pabk1b9//8dfDc2ZMwfA+vXrjRXOvGmzsF544QUAMTEx2gzCw8PpHpuuqqpydnYG8MMPPxjdeW1tLfWWmpKXWCyWSCTV1dW9e/cGkJ2dbfSIZolJzm5YuXJleXn5iBEjXnvtNaM779Chw+LFi69fv/7111/7+PgUFxd/9NFHHh4e165dY315qglhesLKy8OxYzP8/II3btxIXxQbG5s5c+YUFBRQb6lramqcnJwCAgIeP4SXRwcmJixCsGQJCgsHjxlzqnnSC30IBIKIiAipVLpv377Kysr8/Hw9JgY+m5iYsJKScPw4XF2xahWjcSdOnNi3b9+amhpqpzWeFjElYdXW4oMPAGD9emha6UQvERER4NgeVFxGzx7D6dOnV65cqfHS1atXDchHF6tXo7gYw4bh9ddpiqCLsWPHxsXF/fzzz+vXr2chvKmhp7Cys7Ozs7ONm4puCgqweTOEQiQmoqVzdGkhODjYxcXlxo0bV65c8fb2ZiEDk0JPYb344ovaHvU3bdpEx+mMb7+NpibExGDAAKP7bhUWFhZhYWE7duxIS0vjhdUybR34YmWA9LvvCEBcXEh1tRG9tpnk5GQAzz//PJtJmAgm0HmXybB8OQDExYGpE0w1M2bMGGtr65MnT1ZWVrKZhylgAsKKjcW9exg0CDNmsJyJvb19aGioSqX65ZdfWE6F89AorCNHjhi+W9W1a/jqK1hYIDERbG96DQDUAg1+0KFF6PqtampqIiMjAwICDh48aIifmBgoFIiOhmEbeRgNajTr0KFD/BC8bugSlo2NTUhISGVlZURExOLFi/X7GX76CUeOoFMnxMYaPUE98fT09PX1rampoU6T49EGXcISiURpaWkJCQmWlpZfffXV8OHDi4qK2uRBpcJ77wHAZ5+hc2c6ctQTfgi+VbT1MTIzM/PgwYOFhYXaDLKzsw8ePHjhwgXqY1ZWloeHh6WlZWjo8UOH2hbr4kWycCFRqdqaI71Qm4Jo3C+JpxkmpiaXlZXNn/8jQCwsyMqVhFrP99tvJDqaREeTX37RfNe6dSQ6mvz8MwMJtg2lUtm5c2cAV65cYTsX7sLQnHe1miQkECsrApDQUHLvHklIIAABiJub5mHP0FACEO2rUNkkKioK/DRlnTD0BC8QYPFi/PorunTB8eMYOBClpY8ulZRg9WpmsjAa1KBDWloa24lwF0aHhkJDcf48wsLg4fGoPy4Ww9ISmzcjJ4fJRAwlLCyMGoKvrq5mOxeOwvSYY+fOOHgQhw5BKASAHj0wdy5UKrz1FlQqhnPRH3t7+5CQEKVSyQ/Ba4OFwWwLC3Tq9PfHNWvg4IDcXCQmMp+L/vCtoW7Yf0vSPM/4ww/B7AmpBjFu3DgAhw8fViqVbOfCRdgXFoBFi9CnD2QyvPMO26m0Gk9PTx8fn+rq6lOnTrGdCxfhhLCsrUEt5frxR5jQgDbfGuqAE8ICMGoUpk4FgMWLwexRoPrDv9vRAVeEBSA+Hg4OuHkTprJYYejQoU5OTpcvX7527RrbuXAODgnLzQ0SCQDExeH+fbazaQVCoTAsLAx8paUJDgkLwKJF8PfHw4dMr0fVG37enza4JSxLS2zaBIEASUm4fp3tbFpBeHi4lZXViRMnHjx4wHYu3IJbwgIwbBhmzoRKZRqtoYODw/Dhw5uamvgh+CfgnLAArFvHrZl9uomIiGjXrl1xcTHbiXALLgrLyYlDc5F1UFdXV1dXN2fOnIqKiiVLlmgzUKvVzOfGOqzt9jRsGOLi0KWL5qvR0ZDLoVBg2DBm02o1ZWVlrq6uADIyMoYOHfq0gUwms7e3B/Drr7+OHDmS6fzYhjVhDRqEQYP+p6SpCdeuob4egwbBwgKaqgAek4FD+9NVVqJvX7i4/D0HkMd04VAfq3NnCASorMQz2ScxNzgkLEtLODpCpQI/K9MM4JCwADg7A0B5Odt58BgMLyweWuBQ5x2mKay5c+e2b9/+6fJnc/iqGV5YhnLp0iW2U+AivLAMJTk5eeDAgU+X19XVDWBrW0sOwAvLULp27dqzZ8+ny2UyGfPJcAe+885DC7yweGiBW8JycQF4YZkF3BIWX2OZDdwSFjW/r6IChLCdCo9hcEtYNjawt0djI2pr2U6FxzC4NdwAwNkZtbUoL2fhfK824eLi0tjYCEDb0ZgdOnTQbWDecKvGgkl1s6ysrKysrATaj4xq0cCM4ZywAgOX9+7tLZOls50Ij0FwTljW1sqHD2X8YTWmDueE5eTkBIAXlqnDC4uHFnhh8dACLyweWuCFxUMLvLB4aIEXFg8tcE5Ytra2tra2crm8vr6e7Vx49IdzwgJfaZkFvLB4aIEXFg8t8MLioQVeWDy0wAuLhxZ4YfHQgoBwb93C7du3s7KyvL29+/fvz3YuPHrCxenYPXr0ePDgQVpamoWFhZ+fH9vp8OgDF5tCAFVVVYmJiXV1dWwnwqMntNdYMpns6NGjJSUlYrE4NDTU0dGRKieEZGVlFRQUiESigQMH+vj4ACgtLU1LS4uKiurRowcAT0/PxsbG5OTkiIgIB46v2uF5AkInUqnU29vby8trxIgRnp6efn5+GRkZhJCKiopx48Z17do1NDTU39+/S5cuEomEELJr1y6xWOzv779582ZPT8+NGzcOGDBALBYnJyfTmieP0aFRWHV1dT4+PgsWLGhoaCCElJSUDBo0KDg4mBCyYsWKgICAS5cuEUJUKtWKFSvEYvHp06flcnlubu727dunTJkiFotnz569Z8+e/Px8hUJBX548dEBvjXXnzp36+vrmj2vXrhWLxZWVlQqFoqioqLm8qKhILBYnJiY2fwwMDFy1atWQIUNKSkpozZCHJujtvHfr1s3W1rb5I7UmWKFQWFtbu7u7N5dbW1tT5QDu3bsXGRnp7++/Zs2adu3aTZ06tZrfntsEYfSp8MSJE+7u7mKx+Iny48ePAxg8eDCAvLy8Bw8eLF++3MLCYvny5Q8ePCgqKmIySR7jwFjdePDgQbFYnJKS8kR5TU1NUFBQZGRkc0l1dTX1D7Va/eDBA8Yy5DEiDAkrNzfXy8tr/vz5arX68fL6+vopU6b4+/s/3uXiMQOYEFZ6erqXl9esWbMaGxsfLy8tLR0/fryfn9/ly5cZSIOHSejtYxFCEhMTZ82aNX78+K1bt1pZWTVfys7OHjNmjEwmO3DggLe3N61p8DAPjS+ha2tr33rrrT/++CMsLGzixInN5QMHDpRKpRKJpFOnTu+9956dnR1V7uzsPGTIEJqS4WEYGoWVm5s7bdq0p8vXrVuXmJj49LNecHDw9u3baUqGh2G4OG2Gxwzg6OwGHlOHFxYPLfDC4qEFXlg8tMALi4cWeGHx0AIvLB5a4IXFQwv/D1grj3FeRZjBAAABVXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAA+KG5gZGfQANLMzIxgmpGRzQHMZ4HR6OLsEJoZRsPlGRSANFw5Os1goMEIYogBCUkOIOFYkp/rV5qToyHDoM3NAJRjUmBizmBiYk9gZmFgZk1gZctgYuVkYGNPYOdg4ORi4ORm4OQBeUKEkZWJmZWNXXwTyDwoZuCrz8rZv15khiODg7HTQ+7D+09tmu349JOpU7TTvn2/6uY7hkfrO+V/OGonvn2O455rWk6ZDPr2j49PceSfo+nE8lzH/l/IMsc+Nw0nmZqHtvbX1zm2q2s7CVSx7XdbuspRtVTf6Udw8/51N9Y5bnMxcjKN22W/VW2F4xcdZacPy5/Za9QtcHw+V9FpsoSIwzTntY7RTCpOQs0B9jxMaxx7LBWc+tgC9ot79DpKiJo4iQEAciFUnryzXzIAAAG9elRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZO7jtswEEV7fwXrAEvMk48ihR+LJAgsA7E3bRAssMimSJX/R2ZIy6SaiBKkGR8OyXvH9Ca/f7z++vn+Z78Lfn07fX3/Gx4Xn3aWh//ctdbwnQFgdw7+EQ7Pn74s4XjbH9bM8fKy3K4BxW/wsWX3t8t5zWBYwhPESqxgUY2ANiCIxILkucdkCp/DE0YlLh2VROyoRimZZpTD0atyxtTRyhkc5Vi4blAx1MiS7qSWKk5SzFDzTKqtDzEVbmSJWnPqpADJTKZWM2X1LEHMFbWTkEqdyWzHh4j9zISxqOJ99VLSTJYulJJyR5kh34+UZLN87UIBJXhULV1TTRlnFM2tgFF0RQHbBsU3zZutIlpZqwUE/VSQmrqGCshGU3SrKDLKvWry9Q21+tA8Gyg3VQuKdlRdilYVNG2rSvjgElhfNAdyNM+oN4C9m1rhvL9ePxKtc56X06bdegMeLstpNKAPGk3mIY9GEn9Gs3hYRkegJXTY7r+n4a0FIQ8D0UKcXBJDyuQEGlMnubElcVK1Z2gSr2d40qjNk1mA+bger/9V+979Ay1OxJPVC5seAAABc3pUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWQsU7EMAyGX4XxQCGyHdtx2gkhJCaEBGJBDMepA4JrERxMPDxxYSBhaK183x/F9j3RycPV5v7y4XiHu5+6OV/r+vNvnrGWo6/NKURD0oA5qgIFlggEOlZeKEnAEgEBA7PnZDzFKJTMOSslz7Nl8nzKqM5LyoFTtFRorNR0pWKFA1PMUHLFaqlii1KyOmYgdpyFA0HMBcUxqJURI4sGwtqJlcBuk1Or/dYsaH23UgamkWJC9qyKBa5XgNLoM7I4FR+lXhH13tAnq9REcO3NbJ1cSJLzlOBnFGX2yYH0N26+ENGMx2F7WPbXb8vrAHG/vNwuh7vtyzTvpoiVvH88vi675+kQby7qcZo/n96WeT/NhzhvB/zjz67r8a+XgVpNnU6tTo1GHrj13HtpvfReW6+9z63PjbfBWm2dLq0unUbodgN9oF8e9v1htz+kf4luhdjv8Osb5yzxw2JYNx8AAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
        "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
        "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
        "      <td>1</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>B</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATDUlEQVR4nO3deXRTZfoH8G/a0jW0UMuSQoG2dkAtglSQgiylKYxasIMEGY/FKUhQ5rRHfh4IMiKeM3gmx0GozjhjAJFVnWhVVpGAyFqBIrQWCkMXBIqtLN032ub5/XFrl9CGLnnvDePz+Yv73tt7n4Rv7n3z3iUqIgJjjuaidAHsfxMHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsp5Ofj/nz8fe/t2jMycH8+fjvfxWqqeM4WE7n5k2sWYPFi7F/f1NjYSHWrMHPPytXVgf91oOVlga93vY/rKAAej1OnMDJk5g/H1u3tph7+DDmz0d5udjCBg7EggWoqRG7FXF+68HKycHatbh1q0VjcTHWrkV2NrKzsWYN5s1Dbm7T3KwsrFmD6mqxhb3+Oi5fhtEodivi/NaD1R69eyMxUe6NDhqEV1/F3/6G8+fl3rRDuCldwD3gr3/F7Nn4/HPMmNHJNZSUoKIC5eUoK0NxMcrLUV6OigoUFTX8u7wcJSUoLUX//khKavir117D5s1ITITF4qiXIh8O1t1ptYiLQ1ISYmLg59fQWFWFzz5DSUlTMhpTUlGB4mKUlTVMlpZ2YFthYU3B8vFBcjKmT8d//oOgIAe/KNE4WAAQE4Nu3Zom6+psF1i1Cg89hDfewLvvNrRUVWHmzPauv3t3qNXw8YGfH3x9oVZDrUb37ujRAz4+DZM9e0Kthr9/iz/8wx/w5JNYvBjr13fulSmGgwUAf/4zAgObJgsKsHRpiwWCg7F0Kd58EwkJDS1qNXQ6+Po2JMPXF35+DRGRUtKYmB49OlZMRkaLyffeQ3g4Vq3qxMtSEgcLAOLi8NBDTZPnz9sGC8CiRdi8Ga+8gueeAwB3d5jNctQWGoolS/Dmm3Jsy4H4W2F7eXjgn//EwYPYtk3uTS9ZgsGD5d5oF/EeqwNiYqDT4bPPxG6ld28YDBg0qKnFwwPr12P7dgwYIHbTDsR7rI55992mL4aC9O0LoxH339/UUliIvXvh4YHgYLGbdiDXN++5o7ejBQRg0iT4+LRo9PREVBQCAuDnB60WHh4N7d27Y8gQDBqE6Gi4u8tU4bVr0Olw6hSSkuTbaBepiEjpGpya1Yo//Qljx+LFF+HqqlgZjz+Oo0excSNmz1ashg7hQ+Fd/PADNm+G0ahkqoCGYY6PPlKyhg7hYN2FdDplyhSFy3j2WajVOHgQ2dkKV9JOHKy7kIIVE6NwGWo1ZswAETZuVLiSduI+lj2VlfD3R10dfvnF9mSL/A4dwoQJ6NcPP/2k8HG5PXiPZc+hQ6ipQUSE3KkqLsb69bBaWzSOH48hQ5Cfj337ZC2mczhY9ih1HBw7FnPn4ttvbdvj44F7pAvPwbJHqWA9+ywAbNhg2/7CC3B1xZdf4sYNuUvqKA5WmwoLkZkJHx+MHi33pufMgasrUlJQVNSivV8/TJ6M27fxySdyl9RRHKw2WSwgwoQJTcPusunfH9HRqK7Gp5/azpIGtNatk7ukjuJgtUnZgYa2RkSffhq9eiEjA6dPy19UB3Cw2iT1nZUK1vTpCAjAyZNIT2/R7u7ecEGYk3fhOVitO3sWV6+ib188+KAyBbi7Y9YsAK2MiM6dCwBbtwq/Ba0rOFitk46DkydDpVKsBulouGmT7W2rQ4ciNrZs6NCdO3d+rUhh7cHBap0znMkZMQLDh+PmTezcaTvr97/fdPDg1A8/fE+JutqHusxoNBYVFXV9Pc6jpqbez49UKrp2TeFKkpMJoKeesm0vLi728vJycXH56aeflKjr7u6yx6qoqLhw4UJZWVljy6VLly5fvkxE0r8BbNu2zdvb++d76IEVd5OaelilCnnmmXUajcKVPP88oqNTs7Im5+fnN2/38/OLi4uzWq2bNm1Sqjb77AVrx44dWq327bffjo6O3rNnT2lpaVxc3KuvvpqYmBgfH19XVzd37tyZM2f6+vomJiZOnTr1ls0jEO5ZFouluDhvwIAspQvBfffB3391bq7lzgAlJCQAWL9+PTnnZQR29mYff/zx1atXiejQoUMxMTF5eXlms1maFRMTc+jQISLau3fvuHHjNmzYIHzfKqNRo0YB2L17t9KFEBHt3r0bQFhYmNVqbd5eX18/cOBAAAcOHFCoNHva1cfKyMiYNGlS8xadTnfgwIHMzMxRo0YVFhZGRkYeOXJETIVyKyoqcnV1dXd3LysrU7oWIqL6+vqgoCAAhw8ftpn1xhtvAJg9e7YihdnXrmAtXLgwOTm5cfLcuXMjR46sqKioqqo6evQoER04cMBJ/hu6LiUlBcDEiROVLqTJX/7yFwBz5syxac/Ly3NxcfHy8nLCL093D9b777+v0+mqq6ulyfz8/MjIyOafnvLy8qioqAULFlRVVYkqU0YvvfQSgLfeekvpQprk5uaqVCofH5/S0lKbWZMmTQJgMpkUKcwOe8G6ffv20qVLExISKioqpJbU1NSJEyfa7JO///770NBQjUbz1FNPFRQUCCxWFqGhoQBOnDihdCEtjB8/HsCHH35o075582YAo0ePVqQqO+xdmjxz5sz09PRp06apVCoAUVFR8+fPHzNmzIABAwBMmTIlOjpaWjIrKyshIeHy5ct9+vRZt25dRESEuG8bQl26dCk4OLhnz57Xr193dabrfzds2JCQkPD4448fPny4eXtVVVVgYGBxcfHZs2cfVOr0U6vshO7cuXPpzRQUFNhMNl/41q1bOp1Oo9EMHDjwk08+EftxEMZkMgGYMWOG0oXYKi8v9/X1BZCVlWUzSzp2L1q0SJHC2uKAkfdGtbW1K1as0Gg0Go1m0aJFt2/fduDK5TFjxgw4ZZeFiF588UUAS5YssWk/fvw4gD59+jjVG+7IYElSUlKCg4M1Gk1cXNz169cdvn5x6urq/P39AeTk5ChdSyuOHTvm7u7+8ssv3znr4YcfBvDVV1/JX1VbHB8sIkpLSxs+fLhGo4mIiEhPTxexCRFOnDgBIDQ0tNW5dx6D5NfWB3XlypUAxo8ff+vWLZlLaouQqxsiIiL27NkzYsSIa9euPfPMM7t27RKxFYezWCwAYlq7pOHHH38cNmzY1KlTbc7ZySwgIKCtWZ6enmlpaQEBAY8++uiSJUv27dtXo+xD4sVltqam5pVXXtFoNIGBgStWrKivrxe3LYeYOHEigJSUlDtnpaSkdO/eHUDPnj2d6vxVZWXlc889B0ClUj3wwAMeza7P9/HxefLJJ1evXp2ZmSl/YQKDJfnggw/69++v0WgSEuaUltaJ3lynVVRUeHh4uLq63rx5s9UF8vPzn376aen/bMqUKZcuXZK5wjtduXJl5MiRANRqtfR5qKystFgsBoMhIiJC1ewaxd69e+t0OpPJJF2ZIgPhwSKi1NTU8PDwyZP3/+535AQdFVvFxcUmkykiIqJ3795qtfrkyZN2FjabzdLxyNvb22g0KrgbPnz4cJ8+fQDcf//9re6TCgsLzWazXq8Pavks75CQEL1ebzabS0pKxJUnR7CI6NKla0OHWgHy96e9e+XZ5l3U19fv3bt31qxZnp6e0jvu5+cHwM3N7bXXXrNzeqqgoCBeuiUZGDNmjCKdepPJ1K1bN2nf2Z4Oe05Ojslk0ul0fs2eR+jm5hYREWEwGCwWi8OHKmQKFhGVldH06QSQqysZjbJtthVXrlwxGo0hISHS++vi4qLVajdu3Hjjxg2DwSANuIeGhtq/HGXHjh39+vUD4OnpuXz5ctnGkKqrq6UBLQBJSUl1dR3rXdTW1qalpRmNRq1W263Zs+3VanVsbKzJZMrNzXVInfIFi4isVjIaycWFAPrjH+nXM5AyqaqqMpvNWq22sfMRFBRkMBhs3spjx45J50ZUKpVer7/zvG+joqIivV4vrW3YsGFpaWmiX0J+fv7o0aOlNG/cuLGLaysrK2vskLV6rGyru9kesgZLsmMH+foSQI88QvL0gNPS0pKSku677z7pjfP09NTpdBaLxebSuUa3b982Go3u7u4ABg0a9M0339hZ+Z49e6QL7tzc3AwGQ+NlIA536tQp6Sxt//797XcEO6HxWOnf7ME6rq6ujcfKjr4uBYJFROfP0+DBBFCvXvTdd6K2UlBw45133nmo2U8DREZGrlmzpp2d1oyMDOk7FwCdTnfjxo22lqyoqDAYDC4uLgDCwsIOHjzouBfRYMuWLV5eXgDGjRsn9BKS+vr6xmNl88ELb29vrVZrNBrT0tLa+kA2p0ywiOjmTdJqCSB3d1q71pFrrq8ni4V0OnrggYYfD/H399fr9WfOnOnoqmpra5OTk729vQH07dv3888/t7Pw0aNHhwwZInXa9Hq9o658rK2tNRgM0gvR6/VynhAsLy/ftWvXwoULw8PDmx8r+/Xr98ILL2zZssXOVxzFgkVEdXVkMBBAAOn11PV3LCuLFi8mjaZhnd260Zw5/7dt27ba2tqurDY7OzsqKkp6T2NjY/Pz89tasqqqavny5VKnODg42GKxdGW7RHTjxg3p2iQPD49169Z1cW1dcefghbe3t53jo5LBkmzdSl5eBNC4cdS5fXxlJZnNpNWSStUQqSFDyGjs5NpaZbVaTSaTNPjeo0cP+5c/nDlzRuoOq1Sq+Pj4TneBz5w5ExwcDCAwMDA1NbVzKxEhIyNj1apVy5Yts7OM8sEiotRUCgwkgIKD6ZtvSKulBQtaLJCZSVotZWTY/mFaGun1pFY35MnXl+LjyWKhdvQBOiMvL2/y5MnS5/WJJ56wc7NobW2t0WiU+ih9+/Zt9TSRfZ9++ql0CI6MjLym+I2zHecUwSKi/HwaPZoGDqTvvmtIya93mhERHTlCADX2ifPzyWiksLCGJQGKiCCTieS5n8NsNktfMH19fZOTk+0Mvl+8eHHChAmN3f9ffvmlPeu3Wq3Lly+XRjGef/75yspKx9UuH2cJFhFVV1N2NqWnE0Dh4RQYSI3f3qRgffstmc30xBPk6tqQp6Agev11ys6Wu9SCgoIZv/6O79ixY8+fP9/WknV1datXr5b2Pb169cq4c6/bUklJybRp06TBC6Oy48hd40TBkkjB+vhj8vOjxMSGRilYBw5QUBAB5OFBsbFkNlPXOuVdtX37dmnw3cvLy2g02hkEz83N1Wq1Q4cOrampsbPCCxcuSN8rAwIC9u/fL6Bk+ThpsPbto3feIVdXkkazGw+F//43vfcedWFA2MGkwXdp1zV8+PBTp061taTVai0sLLSzqp07d0on8oYPH56Xl+f4WuXlvMGqraWHH6aICKqrs+1jOZuvv/5aGhPv1q1bJwbfrVar0WiUxldnzZpVIfOpLjGcN1hEdPAgqVT0r385e7Co5eB7eHj48ePH2/mHZWVl06dPl86fGI3G9gxq3xOcOlhEFB9PAQG0Y4ezB0ty5MiR5oPv5eXl9pe/ePGiNKjt6+u7fft2eYqUh7MHq6CAevSgyMh7I1hEVFlZ2XjtTUhIyL7GV3KHPXv29OzZE8DgwYOd4U4Nx3L2YBHRP/7RMLhwTwRLcvr06REjRjRee3PnaW+TyeTm5iadIyouLlakSKHugWDV19OoUfdYsOjXa2+kwXeNRvPll19K7VVVVbNnz5YyZzAYnP8ek85xumDdvEkmE1292qIxK4tMJuWfCNoJmZmZjz32WOPge3p6euPtD1988YXS1QnkdME6d46WLaOff27RWFREy5bR6dMK1dQ1dXV1K1eulAbfpR1YWFjY2bNnla5LLKcL1hdfEEA//NCiMTeXAProI2VKcoicnJzo6OilS5fGxsY64XPSHM4NTBYhISEWi0Wl4O8RyIt/QEA+v51UgYPFBHHSQ+Hs2fD2bppU9vEWrBOcNFhRUQgMbJosKrL9dTXm5Jw0WAkJeOSRpsm8PLz9tnLVsI7jPhYTgoPFhOBgMSGcLljBwZg3DzaPRPT1xbx5GDxYoZpYx9n7AQHGOs3p9ljsfwMHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEP8PZxby823txgkAAADmelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAA4obmBkZ8gA0sxMjGwOGiAGC5sDWIAZLsAOoZnZHSxANCMzG0MCkMHIzGCgwQhiiAEJSZBpjiX5uX6lOTkaMgza3AyMCoxMGUyMrAlMzAnMLBlMQH0srAnsDAwijKyMTMwsrOJZIN1wJ62exnFgaY3rfhBnzRrr/dNyCveB2E/E2eylv7eBxc9l37Dfl/R0L4jNf3uy/VWGpfYg9v/J6/eVmM0Gs18/93Bg7WcAq/8jE3xA39vIDsQWAwCGNC6nDpngaQAAATF6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9Uk1LA0EMve+vyFnYIV/zdfCw7RYR6RZs7VVEEOvBk/8fk8o6LS4mO5C8vMwmj+E3/Xh+fX85fQ4duD2OD6cv+DUeO8Pxn6/WCkdBxG4LHsBqc3c/wfowrGZkvXuaDnso5uh+zRwOu+2MEEzQcyBRqgl6DDmTigAGPFvrZVif6yKE6hFLzCktMMWYGCJLQYaeAkZVWiKqESmkirmi30jEiHGBGG1KChQjsVjApWIpC7zk22AQ5crJicTR1PpLzPZnsa2r3ekdEZkKLxAL3EAvgWtJqlanrESXI8J22O9vmeeGzTReCfwj+Wo3jU1yd266qh1p4nmamkTqUBPCgdj2JUtz28pqrbdY1c7lZJdzeD4/Gou7b+zgf0FbIzpTAAAA73pUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF3NuU7DQBAG4FehTNB6NMfOXq4QQqJCkSijFMFyEaGso2Co8vCMU2Vd7c7/zbFnfj58DDQMm9dt3df3Az3dNp0A5xS8Q6DoidT1HQOJZ9chxEhexCL7ihD6JWTRGILrEZQloTUSoHqb6AlCxpiXLiJGtG1iyzKFJVJkSvcuUiV2BJwy5vt6O5g5LBHZs3XHeTrvrtOlIPz8fl2m4Xuc4fPNyrH+na5TPY91hnos9OAvOysfXQu3zA2TL9K6rN237teurWvjqYSWw3o8th5XfvsHtQyAPJp/k1UAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
        "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1350,7 +1350,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1370,7 +1370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "id": "fafbfcd0-6273-4f30-ae28-b467a0f9bdef",
    "metadata": {},
    "outputs": [
@@ -1403,45 +1403,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>782</td>\n",
-       "      <td>219</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>943</td>\n",
+       "      <td>258</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>705</td>\n",
-       "      <td>157</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>898</td>\n",
+       "      <td>202</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>496</td>\n",
-       "      <td>110</td>\n",
+       "      <td>743</td>\n",
+       "      <td>610</td>\n",
+       "      <td>133</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>196</td>\n",
-       "      <td>110</td>\n",
+       "      <td>355</td>\n",
+       "      <td>236</td>\n",
+       "      <td>119</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>26</td>\n",
-       "      <td>16</td>\n",
+       "      <td>47</td>\n",
+       "      <td>34</td>\n",
+       "      <td>13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>36</td>\n",
+       "      <td>59</td>\n",
+       "      <td>53</td>\n",
        "      <td>6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2241</td>\n",
-       "      <td>618</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>2774</td>\n",
+       "      <td>731</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1449,16 +1449,16 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_brenk  rejected_brenk\n",
-       "AP             1001             782             219\n",
-       "FP              862             705             157\n",
-       "SE              606             496             110\n",
-       "GA              306             196             110\n",
-       "B1               42              26              16\n",
-       "B2               42              36               6\n",
-       "Total          2859            2241             618"
+       "AP             1201             943             258\n",
+       "FP             1100             898             202\n",
+       "SE              743             610             133\n",
+       "GA              355             236             119\n",
+       "B1               47              34              13\n",
+       "B2               59              53               6\n",
+       "Total          3505            2774             731"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1502,7 +1502,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "id": "bc079ded-e17e-42d8-8a03-df23f74615d0",
    "metadata": {},
    "outputs": [],
@@ -1514,7 +1514,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "id": "3fb0718d-e1d4-4f70-8835-e3b8e30ff478",
    "metadata": {},
    "outputs": [
@@ -1523,75 +1523,75 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_a5b06\">\n",
+       "<table id=\"T_3771a\">\n",
        "  <caption>unwanted substrutcures filters</caption>\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_a5b06_level0_col0\" class=\"col_heading level0 col0\" >pre-filtered</th>\n",
-       "      <th id=\"T_a5b06_level0_col1\" class=\"col_heading level0 col1\" >accepted by 2</th>\n",
-       "      <th id=\"T_a5b06_level0_col2\" class=\"col_heading level0 col2\" >accepted by 1</th>\n",
-       "      <th id=\"T_a5b06_level0_col3\" class=\"col_heading level0 col3\" >accepted by 0</th>\n",
+       "      <th id=\"T_3771a_level0_col0\" class=\"col_heading level0 col0\" >pre-filtered</th>\n",
+       "      <th id=\"T_3771a_level0_col1\" class=\"col_heading level0 col1\" >accepted by 2</th>\n",
+       "      <th id=\"T_3771a_level0_col2\" class=\"col_heading level0 col2\" >accepted by 1</th>\n",
+       "      <th id=\"T_3771a_level0_col3\" class=\"col_heading level0 col3\" >accepted by 0</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_a5b06_level0_row0\" class=\"row_heading level0 row0\" >AP</th>\n",
-       "      <td id=\"T_a5b06_row0_col0\" class=\"data row0 col0\" >1001</td>\n",
-       "      <td id=\"T_a5b06_row0_col1\" class=\"data row0 col1\" >781</td>\n",
-       "      <td id=\"T_a5b06_row0_col2\" class=\"data row0 col2\" >210</td>\n",
-       "      <td id=\"T_a5b06_row0_col3\" class=\"data row0 col3\" >10</td>\n",
+       "      <th id=\"T_3771a_level0_row0\" class=\"row_heading level0 row0\" >AP</th>\n",
+       "      <td id=\"T_3771a_row0_col0\" class=\"data row0 col0\" >1201</td>\n",
+       "      <td id=\"T_3771a_row0_col1\" class=\"data row0 col1\" >942</td>\n",
+       "      <td id=\"T_3771a_row0_col2\" class=\"data row0 col2\" >247</td>\n",
+       "      <td id=\"T_3771a_row0_col3\" class=\"data row0 col3\" >12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a5b06_level0_row1\" class=\"row_heading level0 row1\" >FP</th>\n",
-       "      <td id=\"T_a5b06_row1_col0\" class=\"data row1 col0\" >862</td>\n",
-       "      <td id=\"T_a5b06_row1_col1\" class=\"data row1 col1\" >702</td>\n",
-       "      <td id=\"T_a5b06_row1_col2\" class=\"data row1 col2\" >146</td>\n",
-       "      <td id=\"T_a5b06_row1_col3\" class=\"data row1 col3\" >14</td>\n",
+       "      <th id=\"T_3771a_level0_row1\" class=\"row_heading level0 row1\" >FP</th>\n",
+       "      <td id=\"T_3771a_row1_col0\" class=\"data row1 col0\" >1100</td>\n",
+       "      <td id=\"T_3771a_row1_col1\" class=\"data row1 col1\" >895</td>\n",
+       "      <td id=\"T_3771a_row1_col2\" class=\"data row1 col2\" >186</td>\n",
+       "      <td id=\"T_3771a_row1_col3\" class=\"data row1 col3\" >19</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a5b06_level0_row2\" class=\"row_heading level0 row2\" >SE</th>\n",
-       "      <td id=\"T_a5b06_row2_col0\" class=\"data row2 col0\" >606</td>\n",
-       "      <td id=\"T_a5b06_row2_col1\" class=\"data row2 col1\" >494</td>\n",
-       "      <td id=\"T_a5b06_row2_col2\" class=\"data row2 col2\" >106</td>\n",
-       "      <td id=\"T_a5b06_row2_col3\" class=\"data row2 col3\" >6</td>\n",
+       "      <th id=\"T_3771a_level0_row2\" class=\"row_heading level0 row2\" >SE</th>\n",
+       "      <td id=\"T_3771a_row2_col0\" class=\"data row2 col0\" >743</td>\n",
+       "      <td id=\"T_3771a_row2_col1\" class=\"data row2 col1\" >608</td>\n",
+       "      <td id=\"T_3771a_row2_col2\" class=\"data row2 col2\" >129</td>\n",
+       "      <td id=\"T_3771a_row2_col3\" class=\"data row2 col3\" >6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a5b06_level0_row3\" class=\"row_heading level0 row3\" >GA</th>\n",
-       "      <td id=\"T_a5b06_row3_col0\" class=\"data row3 col0\" >306</td>\n",
-       "      <td id=\"T_a5b06_row3_col1\" class=\"data row3 col1\" >195</td>\n",
-       "      <td id=\"T_a5b06_row3_col2\" class=\"data row3 col2\" >106</td>\n",
-       "      <td id=\"T_a5b06_row3_col3\" class=\"data row3 col3\" >5</td>\n",
+       "      <th id=\"T_3771a_level0_row3\" class=\"row_heading level0 row3\" >GA</th>\n",
+       "      <td id=\"T_3771a_row3_col0\" class=\"data row3 col0\" >355</td>\n",
+       "      <td id=\"T_3771a_row3_col1\" class=\"data row3 col1\" >235</td>\n",
+       "      <td id=\"T_3771a_row3_col2\" class=\"data row3 col2\" >113</td>\n",
+       "      <td id=\"T_3771a_row3_col3\" class=\"data row3 col3\" >7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a5b06_level0_row4\" class=\"row_heading level0 row4\" >B1</th>\n",
-       "      <td id=\"T_a5b06_row4_col0\" class=\"data row4 col0\" >42</td>\n",
-       "      <td id=\"T_a5b06_row4_col1\" class=\"data row4 col1\" >26</td>\n",
-       "      <td id=\"T_a5b06_row4_col2\" class=\"data row4 col2\" >16</td>\n",
-       "      <td id=\"T_a5b06_row4_col3\" class=\"data row4 col3\" >0</td>\n",
+       "      <th id=\"T_3771a_level0_row4\" class=\"row_heading level0 row4\" >B1</th>\n",
+       "      <td id=\"T_3771a_row4_col0\" class=\"data row4 col0\" >47</td>\n",
+       "      <td id=\"T_3771a_row4_col1\" class=\"data row4 col1\" >34</td>\n",
+       "      <td id=\"T_3771a_row4_col2\" class=\"data row4 col2\" >13</td>\n",
+       "      <td id=\"T_3771a_row4_col3\" class=\"data row4 col3\" >0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a5b06_level0_row5\" class=\"row_heading level0 row5\" >B2</th>\n",
-       "      <td id=\"T_a5b06_row5_col0\" class=\"data row5 col0\" >42</td>\n",
-       "      <td id=\"T_a5b06_row5_col1\" class=\"data row5 col1\" >36</td>\n",
-       "      <td id=\"T_a5b06_row5_col2\" class=\"data row5 col2\" >6</td>\n",
-       "      <td id=\"T_a5b06_row5_col3\" class=\"data row5 col3\" >0</td>\n",
+       "      <th id=\"T_3771a_level0_row5\" class=\"row_heading level0 row5\" >B2</th>\n",
+       "      <td id=\"T_3771a_row5_col0\" class=\"data row5 col0\" >59</td>\n",
+       "      <td id=\"T_3771a_row5_col1\" class=\"data row5 col1\" >53</td>\n",
+       "      <td id=\"T_3771a_row5_col2\" class=\"data row5 col2\" >6</td>\n",
+       "      <td id=\"T_3771a_row5_col3\" class=\"data row5 col3\" >0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a5b06_level0_row6\" class=\"row_heading level0 row6\" >Total</th>\n",
-       "      <td id=\"T_a5b06_row6_col0\" class=\"data row6 col0\" >2859</td>\n",
-       "      <td id=\"T_a5b06_row6_col1\" class=\"data row6 col1\" >2234</td>\n",
-       "      <td id=\"T_a5b06_row6_col2\" class=\"data row6 col2\" >590</td>\n",
-       "      <td id=\"T_a5b06_row6_col3\" class=\"data row6 col3\" >35</td>\n",
+       "      <th id=\"T_3771a_level0_row6\" class=\"row_heading level0 row6\" >Total</th>\n",
+       "      <td id=\"T_3771a_row6_col0\" class=\"data row6 col0\" >3505</td>\n",
+       "      <td id=\"T_3771a_row6_col1\" class=\"data row6 col1\" >2767</td>\n",
+       "      <td id=\"T_3771a_row6_col2\" class=\"data row6 col2\" >694</td>\n",
+       "      <td id=\"T_3771a_row6_col3\" class=\"data row6 col3\" >44</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fd1fc418160>"
+       "<pandas.io.formats.style.Styler at 0x7f61869f14c0>"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1615,18 +1615,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "id": "783e2a4c-6395-478a-8bf1-520b6da7a2c2",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/notebooks/custom_kinfraglib/1_2_custom_filters_drug_likeness.ipynb b/notebooks/custom_kinfraglib/1_2_custom_filters_drug_likeness.ipynb
index 98a72f84..c1efac22 100644
--- a/notebooks/custom_kinfraglib/1_2_custom_filters_drug_likeness.ipynb
+++ b/notebooks/custom_kinfraglib/1_2_custom_filters_drug_likeness.ipynb
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 23,
    "id": "e21ff76d-e6b9-41d5-8c99-9c8cf331111d",
    "metadata": {},
    "outputs": [],
@@ -62,13 +62,14 @@
     "\n",
     "import pandas as pd\n",
     "from rdkit.Chem import PandasTools\n",
+    "from IPython.core.display import HTML\n",
     "\n",
     "from kinfraglib import filters, utils"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 24,
    "id": "b0b98f88-8429-47fa-9ca6-9b4d2c225119",
    "metadata": {},
    "outputs": [
@@ -88,7 +89,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 25,
    "id": "ca329332-8304-46ad-85da-291709385db3",
    "metadata": {},
    "outputs": [],
@@ -107,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 26,
    "id": "b69f472d-063d-4897-84d0-ca03fb9d5129",
    "metadata": {},
    "outputs": [],
@@ -129,7 +130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 27,
    "id": "839a6067-16d4-4077-9252-cceb56261fc8",
    "metadata": {},
    "outputs": [],
@@ -139,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 28,
    "id": "67852002-8ed8-4230-813e-492a590df8d3",
    "metadata": {},
    "outputs": [
@@ -149,7 +150,7 @@
        "dict_keys(['AP', 'FP', 'SE', 'GA', 'B1', 'B2', 'X'])"
       ]
      },
-     "execution_count": 80,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -161,17 +162,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 29,
    "id": "1d8ce30a-c2c9-4305-a1a5-139898306744",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(7486, 15)"
+       "(9505, 15)"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -196,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 30,
    "id": "ed3c2041-0404-4711-bdac-c36a85e2940c",
    "metadata": {},
    "outputs": [],
@@ -206,7 +207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 31,
    "id": "c712bf41-00fc-4713-ad12-a2d2723f7bd4",
    "metadata": {},
    "outputs": [
@@ -256,15 +257,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAYuklEQVR4nO2de1yUVf7HP88wI3hhgBQVMNRWXcUbxs0NErM0L9B6wxIjbLco10RNzepXsm77otRW6RWaGqti7VJqq4Kmool4WxBQQ3LFewooonEVhGHm+/vjIcJhZmCGeS6D5/3iD2fOmef5jPOZ53vm+5xzvhwRgcGwNgqpBTDaJ8xYDEFgxmIIAjMWQxCYsRiCwIzFEARmLIYgMGMxBIEZiyEIzFgMQWDGYggCMxZDEJixGILAjMUQBGYshiAwYzEEgRmLIQjMWAxBYMZiCAIzFkMQmLEYgsCMxRAEZiyGIDBjMQSBGYshCMxYDEFgxmIIAjMWQxCYsRiCwIzFEARmLOtz5QrUarzzjoGm3r0xZozogqSAGcv6aLWorERNjYGmigrcvy+6IClgxmIIAjMWQxCYsRiCoJRaQLvlxAksXqz/pMGBV7uEGUsoLl1CSYn+k3V1UkiRAmYsoZg9G59/rv+ki4sUUqSAjbEYgsCMxRAEZiyGIDBjMQSBDd6tT6dOCA5G//4GmoKC8PjjoguSAo7V0mEIAQuFgqBQgOOwe/dDT1ZWguMQGSmRJnFhxhKQefNQVSW1CIlgxhKKgQNRUIDly6XWIRHMWEIxYgRefBFxccjNlVqKFDBjCciqVbC3x+uvQ6eTWoroMGMJSK9eePddnDqFhASppYgOM5awLFmCAQPw7ru4c0dqKeLCjCUs9vaIj0dpKf7v/6SWIi7MWIIzdizCwrBpE86ckVqKiDBjWRmDNzJWr0bnzg8tCGv3a3WYsawGET77DFOnGvBWr15YtgyZmQ0P8/LQty82bhRZoKgwY1mHO3cwfjwWLMDu3ThxwkCHBQswfHjDv7/+GiUleOMNhIejvFxMmeLBjGUF0tIwYgRSU9GtG/bsQVAQnnsOQ4Y81EepRHw8nnsOgwfjk0+wbRucnZGUhGHDcPSoRLoFhRhtoL6eYmLIzo4AGj2aCgvNeO21axQYSAApFBQdTXV1gqmUAmYsy7l5k55+mgCys6OYGKqvN/sIGs1vvvT3p0uXBFApEcxYFpKcTF27EkA9elBqapsO9d//0hNPEECOjrRhg5X0SQ0zltnU1VFMDCkUBNDYsXT7thWOWVZGs2YRQABNn06//GKFY0qLSMbavp22baOqqoeerK+nbdsoI0McCdbh+nUaOZIAUiopJoa0WmsePDGRHB0JIE9PSk+35pHFRyRjKZUE0NKlDz15/z4BNGuWOBKswI4d5OxMAPXuTSdPCnKKxhG9nR0tXWrDI3rxjMVxpFJRbu5vT9qQsWpqKDq6IVRNnSpsqGofI3rxjDVuHHXtSgEBv4UPWzHW+fM0bBgB5OBAcXEinfTIEXr8cQJIraZvvy0W6azWQ7wEqbMzPvgAmZnYtEm0c1qBhISE+fMP5ObCywunTmH+fJHOGxyMc+cQHg6OK1u40G/GjBmlpaUindsqiONfpZJmzCCNhoYMocceo+JiItlfscrLy1966SUAHKd4553C+/elkfHvf//QpUsXAH369Dl+/Lg0IsxHVGMR0cGDBFBkJJG8jZWdnd2vXz8Ajo6OX3/9tbRirl27FhgYCMDOzm7p0qV1tjCkF9tYRPTii8RxlJ7+m7Hu3KGXX6a4ODp+nKS6MDSi0+ni4uI6dOgA4Mknn7x48aLEgoiISKPRxMTE2NnZAfD3978k+yG9BMa6dYucnGj4cKqoaDDWnj0NP7j4n9leXhQRQXFxdOwYVVeLI7CBu3fvhoaG8oOEqKioBw8eiHr6ljh58mTfvn0BqNXqDfJO0ktgLCJavZoA+uyzBmMVFtL69fTaa+Tt3ZDxavxTqcjHh958kxIS6OxZ0mgEFJmRkcF/bE5OTtu2bRPwTG2grKwsPDyct35YWNgvck3SS2MsjYaGDaNu3QyMserqKC+PEhMpOpp8fBrSOU19xl/PNmygvDyrJb758KdSqfhAc/XqVescVzASExP5EX3v3r2PHj0qtRwDSGMsIjp+nDiu5cF7ZSWlp9M//kEzZ1L//g0vafzr1+9mcHDwokWLkpKSLB52FBcXP//88wA4jouOjraJoTERXb169amnnpLtiF4yYxHR7Nlm/yosL6djxygujiIiyMuLRo78rmnqRK1WBwYGRkdHJyYm5uXl6XS6Fg946NAhNzc3AK6urvv27TPnPUlP0xF9QECArEb0whrrwAH685+pro6+/JIOHtRvLSmhDRvohx8sP35xcenevXuXL18eGhrK+6Mp3bt3nzhx4rJly1JSUm7duqX3Wv5TUSgUAMaMGVNUVGS5DklJS0vr1asX/73aunWr1HIaENBYp0833Kv/8kvhTvIQhYWFycnJMTExISEh3bt31/OZm5tbSEhITExMcnLy6dOn+cyQUqmMiYnRWneWgujcu3dv2rRp/NtctGiR1HKIhDPWzZvUqxcB9NJLVp5b0nqa+qxr165NTebs7AzA09PThnLZLZKYmKhSqSIjI0tLS6XWQoLs6PfLLwgMxIULGD0a+/fD3t7qZzAbIrp48WJ2dnZ2dnZGRsaPP/6o1WqvX7/ePIDaLrdv3/bw8LC3ty8pKencubPEaqxu1ZoaCgoigIYMIQu+OefOUVgYrVhBP/xAZWVWV9eAj48PgF27dgl1AilYt24dgMmTJ0sthMjqoVCrpWnTCCAPD7pxw5IjbNjwUELBzY1CQigmhpKTrTkL6pNPPgEwS573KY1TU1NjYjg4duxYAImJiWJKMoaVjTV/PgHk5EQ//mjhEW7coM2bae5cCgggB4eHTGZnR0OG0OzZFB9PGRlUU2N5Gv7q1ascxzk6OlaLfM+obaxevbpHjx4JCQnNm0pLSzt06KBUKktKSsQX1hxrGmvFCgKoQwc6dMg6B9RofsvCBwY+5DOFQuvs7OLl5RUREREXF3fs2DFz7+vZYjQMCgoCsH379uZNX331FYBnn31WfFUGsZqxkpJIoSCOo6++stYh9ampoYwMio+n2bPpueeu8InBRhwcHEaOHPnWW29t2bIlLy+vvqVlfjYXDYuLi+3s7Ozt7SsqKpq3Tp06FUB8fLz4wgxiHWOlpZG9PQG0erVVjtcqqqqqjh49unr16vDw8AEDBnAc19RnXbp0efrppxcuXHju3DmDL7e5aLhx40YAoaGhzZuqq6s7d+7McdwNywa2AmAFY+XlNaxdefvtth/McioqKo4dOxYXFxcREeHl5dXos/379xt7iW1FwwkTJgDYtGlT86Zdu3YB8Pf3F1+VMdpqrIKChjn/YWGSJUINUlJSsm/fvo8++ujevXvG+thQNKyoqHBwcLCzs7tz507z1sjISAAff/yx+MKM0SZjlZc3LF8ZNYpqaqwlSTxsKBomJSUBGD16dPOm+vr6bt26Afjf//4nvjBjWL5Kp7a2dv78n3NzMXgwdu2Cg4PFR5KMvn37Pvnkk5WVlampqVJraYGdO3cCmDJlSvOm9PT0u3fvDho0aODAgaLrMoqFxtLpdJGRkV99NSAk5Nz339twRdqwsDAA27dvl1qIKWpra/ft2wegcdp0U0x4Tkosu9AtXLgQgFqtPnPmjHUvoSJjE9EwJSUFgI+PT/MmnU73+OOPA8jKyhJfmAksMdbatWsBqFSq1Dbu3yMP5P/b8E9/+hOAv//9782bTp06BcDDw6M1sxrFxOxQuH379nnz5nEcl5CQwN+csnVkHg21Wi1/xTIY7Pg4OHXqVL00nvSYZcP09HQHBwcAK1asEMjp4iPzaHjkyBEA/fv3N9jKD9gPHz4ssqoWMcNYP/30k4uLC4A33nhDOEGSIOdoOH/+fABL9baAIiKi/Px8AF27dtUIuizOIlobCouKiiZOnFhaWhoaGsqPsdoTco6GycnJMBIHv/vuOwChoaFKpfxqe7fGfRUVFd7e3gD8/f3vS74GXgBkGw1zcnIAuLu7Gxyb+/n5Adi9e7f4wlqkZWPV1dWNGzcOQL9+/QzeT2gfyDMafvDBBwD+8pe/NG8qKCjgOK5Tp07y/Kq3EAqJ6PXXX09NTeWX3bm6ugp9BZUKeUZDE8nPnTt3EtGECRM6deokuq5WYNp3S5cuBeDo6JiTkyOGz6VDhtHw0qVLAJydnWtra5u3jhkzBoDkWywZw5Sx1q9fD0ClUpmYedKe8PX1xa9XAjmwYsUKABEREc2b7t27p1QqVSqVbDcFMRoKk5OT586dy3Hcxo0b+a0N2j1yi4Ym4mBKSkp9ff0zzzzjItvbtMYct2PHDhcXl8WLF4tpc2mRVTS8deuWQqHo2LFjld7u+ERE9Mc//hHAF198Ib6wVmL0irVjx47S0tIePXqIaHKJ6du3r4+PT2Vl5YEDB6TWgp07d+p0uueff7750tPq6uqDBw8qFIoXXnhBEm2twaix5BYXxEE+79pEHNy/f391dXVAQIC7u7voulqNsUtZTU2NWq0GcOXKFWN9TMz6tVFkEg1NLxJ8+eWXAaxcuVJ8Ya3H6BXLwcFh0qRJ+PW+gR537tzx9vYeOnSoTqcTzPMSIJNouGfPnrq6uuDgYH7OcVM0Gs3evXsB8MMs2WIqQWoiLnTv3r2qqqqoqOiEwTq1towcoqGJOHjkyJHS0tKhQ4cOGDBAdF3mYOJqZjoa8rnTefPmCXY1lQbJo6HpRYJz5swBsGzZMvGFmUULmfeZM2fCSDjPzs4G0LNnzxbXHNsc0mZKTSwS1Ol0/OZ98p8R3sK9QhNxwcfHp1+/frdv32bR0LpkZGQAmDx5cvOmzMzMgoKCPn36DB8+XHRdZmLad62Jhm+99ZYwppcMyaPhxYsXi4sNVPx65513ACxcuFB8SebS8rQZFg3lw+9//3sA8tzYXY+WZ5CyaCgTfvrpp/z8/G7duvHbu8uclo01YcIEtVqdlZV15cqV5q38Zr2y+gCsQlhYGMdxKSkpNTU1UmtpgM9BTJ48WW//JnnSsrEaM6X/+c9/mrfy3+wdO3ZotVqri5MQmWRKmyLTFc9GaNViChYNJefnn38+c+ZMly5d+Pl98qdVxno0o+GMGTM4jktOTpZDNOQn40+aNMnBRnZfaZWx2nE0JOPb3Pfp08fHx6eqqkoO0dC24iCA1hYQ2Llz59SpU/38/PjNAvTo37//5cuX09PTR40aZW2FAhIbG5ufn5+QkMAXlGvOypUrly5d6u3tzReHJqKysjKDPR88eGDswlZRUWHwK1dfX19ZWWnwJffv36+rq2t8qNVqc3Nz+ckOfFrRBmhlWqIxU3r58uXmrbaYKd26dSvHcQqFIi0tzVifNWvWyOSDdHV1NS1VbphR8iQ8PDwpKWnlypVLlizRa8rJyfH19e3Zs2dBQYFN/BhOS0ubMGFCbW1tXFwcv4a9OQcOHAgNDdVoNBMnThw6dCj/pLE55vb29saWYanVaoP/J0ql0tHR0eBLOnfuzBelbmTz5s1r167t0aPH2bNne/bsaex9yYjWe5AfYPn5+Rls5Wu+p6enW8fwQnLu3Dm+SNOSJUuM9cnJyeFLmL733ntiajOGVqvlfw+OHz9ebjsWGcQMY5mOhu+++y5sIRrevHmT36nsxRdfNFY+5OrVq/xVYebMmfL5FAsKCvh5f6tWrZJaS8uYt42RifuG/C4DMr9vWFZWxge14OBgY5Us7t69y+8N9Mwzz8itiv3333/PcZxSqTx58qTUWlrAPGPZdDSsra3lo8ngwYONrfOsrq7mC2QOGTJEDlX/mvP2228D8PT0lPmCA/OMZbvRUKvVTp8+HYC7u/vPP/9srA9fOMTDw0M+JR70qKur+8Mf/gBg2rRpUmsxhdl7kIaHh8PIjn5yjoYLFiwAoFarz549a6xPdHQ0ACcnpx8trl0mCleuXHFycgKwbt06qbUYxWxj8SlgX19fg618NDxy5EibhVmTVatWAejQocPB5hXPf+Xjjz/m+xyyVu0yIeFvoNnb258+fVpqLYYx21itiYZz5861hjbr8M033ygUCo7jTFR4T0pK4pOl27ZtE1NbW4iKigLQv39/g8XAJMeS7bhtKBoeOXLE3t4ewKeffmqsT1paGt9nzZo1YmprIzU1NfzM98jISKm1GMASY9lKNGzcjXfOnDnG+jQmSxctWiSmNquQn5/P5+5lUq63KZYYyyaiYWFhoaenJ4AXXnjB2OWzoKCAT5bOmDHDRK1lOfPPf/4TQOfOnWVVoYksrv4l82hYXl7Oh4mAgABjW3SWlZUNGzYMwKhRo+SWCDWLWbNmAfD29n7wQEabcltoLDlHw7q6Or5kxqBBg4xlEWtra5999lkAXl5est0Ur5VUVlaOGDEqMPCa1EHiISw0VovR0NXVNSkpqW3aLEGn00VERABwc3O7fv26sT78t9xEstS2OH1ax5dO/u47qaX8iuWFME1Ew4qKCqni4OLFiwE4OjqaSPC0Jllqc3z2GQHk7ExXr0othYjaYizT0VASvvjiCwAqlerAgQPG+nz66adoR6XLGtHpaMoUAsjfnwxtsiw2lhvLdDQUn927d9vZ2XEct2XLFmN9vv322xaTpbZLaSn16UMAGaq7IzZtqgltIhqKTEZGBj+BMzY21lifxtJlNjGfyTIyM0mlIo6jlBSJlbTJWDKJhufPn3/ssccAREVFGevTmCx98803xdQmPrGxBJCrKxUWSimjTcaSQzQsKirq06cPgJCQEGPV1QoLC3v37m06Wdpu0Gpp3DgCKDiYJHyvbTIWySAa8jv7jBw50lgitLy8nC9dZiJZ2s4oLiY3NwLoo48k09BWY0keDevr65cvX25wd2FqXbK0XZKWRnZ2pFDQDz9II6CtxqqpqXF0dFQqlZMmTYqNjT148KB8ZvTqdLpXXnmFT5Zeu3ZNajli8/77BFCvXmTkSycsbTUWEZ04cYK/6daIm5tbSEhITExMcnKyhNcJfv2j6WRpO0ajoaAgAmjiRBJ/qZEZC1ZNcOHChaysrOzs7KysrLNnzzZdbK5QKAYOHOj7K97e3h07dmz7GVtk/fr1c+bMUalUKSkpj0iRqeYUFMDbG/fuYc0aLFgg6qmtY6ymaLXaCxcu5DThwYMHja1KpXLAgAE+v+Lr6yvE9ikpKSlTpkzR6XSbNm2aPXu21Y9vQ+zdi9BQKJU4ehQjR4p3XusbS4/6+vr8/PxGk2VlZTXd7kLPZ/7+/npLyy0gMzNzzJgx1dXVsbGx7733XhuP1g6YPx9bt+Jf/8LEieKdVHBj6aHRaC5evHjixInjx4/n5ORcuHChadEUlUo1bNiwwMBA3meDBg1SKFq10VIjly9ffuqpp0pKSqKiojZs2GBt+TZJbS1u34aLC+7ehaMj9Movl5Xhl1/g4QGOw927cHKCXrkxIty6hY4dYV5pRLEHdQ9TWVl57NixuLi4iIgILy8vjuOaanN0dAwMDIyOjk5MTMzLy2txtXtrkqWPLPHxBFDPnqT3q53P1Gdm0qFDBFDzVe4VFQSQuasYlZZ9CaxFly5dgoKCgoKC+IcVFRW5ubmNcfP8+fMnTpxo3ITSyclpyJAhjXFz8ODBTQ9VWVk5adKk69ev+/n5ffPNN0qlxG9Nnty+jQ8/xOefC34ief3vq9Xqpj4rKyvLy8vj42Z2dja/02mjz1xcXHx8fPi4OWLEiNdee+3MmTO/+93v9uzZ07x4JIMnIADr1uGVV+DnJ+yJ5GUsPZydnXmf8Ru73bhxI7sJpaWlhw4dOnToEN+Z47gePXqkpqZ2795dUtWy5v338eqrePNNnDoFQTcyk7Wx9PD09PT09OS3VwBQVFTUGDRPnjz5t7/9LSAg4IknnpBWpMx57DH89a+IjkZ8PIxsOGcdbMlYeri7u7u7u4eGhgLQ6XTm/n58ZJkzB19+iQ8/xPTp8PDQb928GenpDz1j2ZbF7eTDYK5qPUol1q1DVZXhXLxGgwcP9P8sOUsbVTJskaAgREZiyxakpuo3RUVBb4vZykpYsMEv+6I/oqxcCRcXLFkCgYp6syvWI4qrK2JjMWcONBpBjs+M9egSFYUtW5CZacZL8vOxezd0OowfD29vUz1ZKHx0USiwdq0Z2ay9ezF6NCorcf8+Ro3C/v2mOrMr1qPC4MGIioJe7QEfH8TF4dw5dO8OtRpRUQauQx06ICoKPj7o2hUpKfD1BYDaWiQkYPx4o6cTe3YDo30QG4vsbBiq2dUAC4UMs9FqsX17C7O7mLEYZrN4MdRqvPqqqT5sjMUwg9paREcjNxf797cw6mdXLEZrKSjA6NG4fx+HD8PJqYXObPDOaC3Tp+Pw4d8euroiP99oZ2YshiCwUMgQBGYshiAwYzEEgRmLIQjMWAxBYMZiCAIzFkMQmLEYgsCMxRAEZiyGIDBjMQSBGYshCMxYDEFgxmIIAjMWQxCYsRiCwIzFEARmLIYgMGMxBIEZiyEIzFgMQWDGYggCMxZDEJixGILAjMUQBGYshiAwYzEEgRmLIQjMWAxBYMZiCML/A71TlIGeMZUfAAAA8HpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAuIOYG4gZGNocMIM3MjGCwO2iAGUgyYAEWGM3uYAGiGTFVsDOABRiZuBkYM5gYmBMYmRKYWDOYmFkymFhYE1g4EljZEtjYE9g5Mpg4OBVEmNiAmliZGFnZWFk42MWbgJoZ4U6sSOY/EGW6cD+Io3RI90BskbodiG2idme/9awl9iC2VLjrfsG1x8Fq5Kak2rWxPNgHYttrN+zjdK0Bq8m5XGLfpf8BzDbz43ZY2tEAZvNuvGMfKHYLrJ4zXt1B6tcFsDliAJxJMQ1xj+NNAAABWHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2S0WpCMQyG789T9AUsSZu0zaXHI2MMj7C53Q7ZzQQZDHx/9lfRKpT19ECTfgn5k+pRfj/3x9P4+fW9P/wsB1fX6/RyOLnbCtMAP/2zzcx9RCIaNq4e3Lh+ep7darccr57V9n3evTkmx4wYfI/scrfdXD3sVm4RfBASSW7BPqiJIMzTebXYcCEzi2XBPaeoIXTA6OaaKLMZJ4eMRU1zB5SakXzOVBLVEFWzZB1SQZIPQdhKDZGYNWoHTJeUQSnCIm9FJZQOmFEkrhUiGDWWnER7qgsSBs85JTFwRMKZOpyBg2ZUqPFcIfqove5gKjMyJlYkraJTDNgdcj1PD6O6DG/czlMbnuAPbULVlDYHgSu2bgtcqbW0OrQ1Dka7zWfTWhcERG5iBUS5kyRAbjReHYPhByX3dVf7+mBxHv4AZuyXoFyQfjEAAAD6elRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXc6xTgMxDAbgV2EEKY1ix3biu4mtE+qOGCC6AaHmqvZg6sPj3uZky//9sfPWoL3340fD3uwAPt2fMQow1HCAKBklhxliQQIOhxQJWRnDjBGKCAeIKRGUMKeoLJnBklqEOMzWRk45B6PKhNUimwSqaCWsrGIJWkJarAT2HHGPkJJNsLZtI9pHlZKqPCJm1X0f2p+07p/KhTOHl/C5refTdb1MKd5+vy5r+1m2+Hqy69L/vq9rPy99izyBZ3AMMqF3HD17z6OTdxqdvfPo4l1GL97L6NV7HV296+D3f48ZnYiDyx/2AAAAAElFTkSuQmCC\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -277,9 +278,9 @@
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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ef0vhEajnTx50tjY+MqVKxoaGn///Tc+GGzTpk3BwcG93WVkZPTnn38ePnzYxcWFP93R0bG4uFjoJ5En5F1Ypqam/Iet6erqGhsbi7ZqpTeSkpKAT0bd3d04hV9q/cHS0jIiIoJCoWzevNnd3Z3JZPr5+X377bdvvAshJLBI6/nz5wp/BLCsfbFwxMfHm5qafvXVV+IqsKioCABMTU15PB5OycrKAgBra2vRCly3bh3+wc6aNaufp06Ul5draWnxp5iamubn54tmgJygYGvezc3NGxoa9u3bt3z5cjxtPECwH5w3bx6V+rLxxn7w3XffFa3AsLAwHN49PDycwWD08y4Oh7N3717iUrxNskyQd1cogIuLy4oVK9hsNj4TcOBgGfF7PUJqohXIYDBwl7+7u7v/d+GXRwLRqpYvZN1kCk1dXZ2BgYGp6eCEhCcDLKqxsRGHFW15dQBddXU1hULR1tYeyHmnjo6OAFBQUNDP/ErpChXvj8PExGT//vjOztI1aywH6DEuX77M5XJnzpxJrOZLTExECHl6empoaIhcrIGBAQCoSFSZ3lA8YQHAsmWuo0bpVVXBm1653kDPYQURBhp6ggPmNjc3D8g4RUfWTaaIZGcjKhUxGKi0VMQSuFyukZERABBL+To6OrS1tSkUSs+lCkKxYsUKADjBf3hin3R1dd29e5c/paioSNHH4hWyxQKACRMgIAAsLKCxUcQSbt682djYaG9vP3LkSJySlpbGYrFcXFyGDBkyENuEdYUMBsPBwYE/ZcyYMXifmeKiqMICgB9+gJUr4bffgHj9+vFHiIzs7+1ifx8kwIedMJnMAZaj0CiwsPT1oawMzp6Fo0dfpjx4AI8e9ff2njM5og24v84wso+lyMLCfPIJ/Pe/IGxooEePHpWWlhoaGk6ZMgWnFBYWVlVVmZubjx8/foAmkW+FoATRZkaNgg8/hPXr4fRpAAAeD/bsAQMD0NUFPb2X//T1O3V1OcSYAgDgE5rmzp2L13kCgImJye7du+l0OrFLR2TIFguUQFgAsG0b2NtDWhoAQEcHbN8umGHmzJz09OkUCkVfX19fX19PT6+qqgr+3Z0aMmQI3vswcEhhgXIIS1cX9u2DtWth2jSgUmHDBmAyobkZmMyX/3R0mNra2iwW68WLF4SHMjIy6k9ALBEgXSEoh7AAwM8Pjh2D8+chOBi2bu35/XyANh6Px2Qym5ubm5ubw8LCzp07l5iY6O7uLnZjyBYLlKDzTvDzz9Da2lcGGo1maGg4fPjw8ePHb9q0CQCioqK4XK7YLSGFBYreYnl5QWcn8HhAo4GtLSQnQz/XEjs7O9vb25eUlKSlpXl6eorXKhwlUFdXFyE08FcBRUXWQ/8DYvlyBIC+/VaUe/HW54CAAPGa5Ofnl5eXR1zu3r07PDxcvFUoBArsCtvaIDYWKBR4/31Rbl+6dCkORdTR0SFGq/Ly8vjH3CsqKp4+fSrG8hUFBRZWVBS0tYGbG/BFHBKCESNGTJw4sbW1tZ9hbUmEQoH7WHl5F42MZqxcKdyhzvz4+/tnZWWdOXNm8eLFYjQsPT2dCAZZWVk5QjThKziKKqzy8vKLFz81Nzf29c0T+Sn8/PzWr1+flJTU1NTEvxdogBQWFjY0NODPKhEV8nUoqrBiYmIAwMtrrpaW6I9gamo6a9as5OTk2NjYjz/+WFy2rV27dubMmfgzDuGngihkH4vL5Z4/fx4APvjggwEW5e/vDwBnzpwRg1kkfCiksGpqaoyNje3s7Aa+EsHX11dLS+vGjRuq+e4mQWQ93iE0f/zxx+3btxFCL168EEuB77//PgB89913Yint2rVr/KFE8vLyHjx4IJaSFQsKksuzr+vq6o4dO8ZgMNavX5+cnBwfH0+j0bZs2bJz504tLS28RDM0NFQsdV28eHHBggVOTk55eXliKVAo1q1b5+fnN2nSJHx55MgRNTU1HLJGoZFTV9je3u7j41NRUQEAFArl0KFDixcvDg8P//7777u6ulpbW8WlKgCYO3eukZFRfn6+TOJwZGRk8J9gWFJSUlpaKn0zxI6cCmvYsGHEQW0eHh5UKrWmpsbMzOzWrVve3t42NjZ4QZVYYDAYOMxQdHS0uMokUYzhhsrKyvj4+KNHj+J9pDjspxjx9/c/evTomTNnduzYIf1p44KCAmJ/7OPHj21tbaVsgCSQU2FxudyWlhYOh8NisXJyck6cOLFr1y6hoiEIxfTp04cOHfro0aOsrKzJkydLqJbeSEtLKysrw5/v37+vHMKSU1dYW1sbHh5uY2OTmJiYn59vZ2d3+vTpy5cvS6g6KpXq5+cHMhrQCgkJOf2KOXPmSN8ASSCnLZaFhQWO6ik1/P39v/vuu+jo6B9++IHYYUEiMnLaYkmfcePGjRkzpr6+vu9TC8XI5cuXY2NjpVOX9CGF9Q9LliwBaXnDxMREHx8fPz+/ZcuWOTk5Een+/v7vi7a+TN6Q9QitHFFZWYmDY7W1tUm0okuXLqmrqwPAJ598gk8FUz5IYf0LvDE6OjpaclUkJiZiVYWEhEiuFplD++abb2TbZMoVDQ0N165dy8jIaGhoaGtr09PT498/PXDOnz+/ePFiNpv95Zdf7tu3T4wlyx2yVrYc0dTU5ODgoKamxv/zMTc3nz9//rZt21JSUgYYs+rcuXO48A0bNojLZrmFFNZLmEwmPlluxIgRERERoaGhHh4eeLabQE1NbcKECWvWrDl16lRZWZlQ5cfExOBRjE2bNknoEeQKUlgIIcRisWbMmAEAVlZWlZWV/F89fPgwIiIiODh42rRpAuG1dXV13d3dt23bFh8fz39idE+io6NVSlWIFBZCqKurCx+WZGlp2feJum1tbTdv3jxw4MCyZcuGDRsm0KkYPnz4smXLDhw4cPPmTf6jA6KiorCq8ClzKoKcrseSGhwOx9fXNzEx0dTU9MaNG6NHj+7/vY8fP759+3ZWVlZWVlZeXh7//kRtbW1nZ+fJkydzOJxDhw7xeLwdO3ZsfV1UCaVF1sqWJVwuF6+aNzExKSoqEvi2qqrq+vXr/TwimsPhFBUVRUREBAYG2tvbE0skcPzcsLAwCZgv16iusHg83tKlSwFAT08vNze3ZwY8HECj0ezt7bGPy83NJY7c6ZuGhoZLly5t2bKFwWBQqVSBfpsqoKLC6u7uDgwMBABdXd2srKzX5jl+/PiECRMERh/09PQ8PDxCQ0MTEhLq6ureWBHeBbRz505xP4G8o4rC6u7uDgoKAgAtLa309PS+M7PZ7NzcXNxht7e3F+hI4FGusLCwmzdvvvaUlKtXrwLAyJEjlXXqpjdUUVg4OJa6uvrly5eFvffZs2cXLlzYvHnzzJkzBw0axC8ydXX1KVOm7Nq1iz8/j8cbOnQoAGRkZIjvCRQA+RXWO++8c/LkSeJyx44dn3zyycCLxbswGAxGQkLCAIvicrm4wx4cHOzs7IxP7Vq0aJFANqzjwMDAAVanWMivsDw8PPgjS33zzTerV68eYJnff/897o/HxMQMsKieMJnMlJSUzMxMgfQHDx7gzpmin2IiFCq0HuvQoUPr16/HhzdLYs0THognAscT2NnZTZgwgclk4hjgKoJcr8GNjo6+d+8e/nzr1q0xY8bU1taamJiIcFTk8ePHv/jiCwqF8ssvv+A3NWkSEBCQk5MTEREx8GATioL8jrx7enoOGzbM1dUVX8bFxRkbG2dkZDx+/NjR0dH5FaNHj6bRaH0XdfLkyZUrVyKEfvrpJ/w+KGWampqGDBnC5XKfPHlibm4ufQNkgKx9ca/07GN99NFHNjY2AvYPGjRo2rRpwcHBERER9+7d43K5AuX88ccfeKpuz5490n2Cf4H3xIorQoT8I9euUAAqlfro0aPm5uaioqI7r7h//35GRkZGRgbOo6amZmtrS7RnNTU1S5cu5XK5u3bt2rhxowyNDwgIiI2NDQ8P//LLL2VohtRQJGFh9PX1XV1dCRfZ2NiYl5d3584d/P+jR49KSkpKSkpOnToFADo6OhwO5+uvv5byZrKeeHl5mZmZFRcX5+XlDTz6kvwjv32spqYmTU1N4jzItrY2Ho8nsPKuJy0tLXfv3sWNWWZmZm1trba2tpzEa/ziiy8OHjwYHBx88OBBWdsieWTtiyUIh8MZPHgwAOTk5BCJ2dnZK1asEGHMfeDgMElGRkb8q7WUFWUex6LT6XirYEREBJGYnp4eHh5+lDg8U4o4OTmNHTu2sbFRcrEC5AhZK1uy4GEwQ0PDzs5OnPL8+XM6nc5gMPqzNkHs4KU4Pj4+0q9ayii5sBBCeJ/xuXPniBR8TOHBgwelbwwha/5wkkqJMrtCTEBAAACEh4f3kSI1zMzMPD092Wy28gd5k7WyJU5DQ4O6ujqdTn/27BlO6erqMjY2BoCCggLp24Mj1Lu4uEi/ammi/C2WkZGRl5cXl8s9jU+NBmAwGHjOjr9TLzXeffddAwOD3NxcYhpUKVF+YUHv3jAyMpLD4Ui69vT09Pr6euJSQ0MDr60ghK6cyLrJlAbEgFZ2djaR6ODgAABxcXESrTolJUVDQ+Ptt99ubm4mEjMzMwHA0NAwLi7uyZMnEjVAVqhEi/XaAa1ly5aBhL1hRkaGj49PZ2fn5MmTdXV1iXQWi8VgMOh0+oIFC4YOHWpgYODq6rp27dqTJ08WFxf3EWp1y5YthYWFxOWJEyfOnj0rOfsHhKyVLSV6G9BSU1OT0IBWZmYmjlSzatUq/k1j169f19LSAoBJkya5u7v3PHVMX19/1qxZX375ZWRk5P379/nvdXR0TEpKIi6DgoK+/vprSRg/cFRFWAghPPV79uxZIgUPaB04cEDsdd25c8fAwAAAAgIC+JXxWrVVVlbGxsaGhoZ6eXn1XK01aNAgV1fXzz///Ny5c6Sw5BE89Ttv3jwi5dy5cwDg5OQk3ory8/NxO7R48WIOh0Ok3759GztEAbUJ0NTURESI4N9UPW/ePEdHx/37999+xaJFi0hhyR7pDGgVFhbibfW+vr78qupNbf0xOyUlJSwsLCYmxtHRcdKkSfNfMWzYMFJYcgFexrl3714iZc2aNQCwbt06sZRfWlpqZmYGAAsWLGCz2UR6b2oTFgVyhSrxVkgg0QGtsrIyNze32traOXPmREdHE3vzHzx44Onp2djYuGDBAiJQltKjEg9J4OXlNXjw4JKSkuzsbBy/z8XFZenSpdOmTePxeAJhGoSioqLCzc2tpqbGw8MjLi4Oh6+F3tWm/Mi6yZQ2ISEhABAUFCTGMquqqnAcNldXV/5Q3uXl5UOGDAEADw+P10Z2EJbIyEj+wDXXr1/vuT9WTlA5YeEBLQMDA7H8phFCjx8/xnuHpk6dyh9Mqze1qQgqJyz0akBLLLvsm5ubR4wYAQBTpkxpaWkh0ntTm+qgisI6dOgQAHh5eYmltLCwMCcnp6amJiLl6dOnWG2TJ0/mV5tKIb+7dCRHdXW1tbW1lpaWpaWli4sLsQmR2BEkLJ2dncRJlnV1dW5ubiUlJU5OTqmpqXj8XQVROWF1dXUtWLDgypUrmpqa/OFo1dTU3n77bUJkY8eOJd7s+k99fb2bm1txcbGjo2NaWlrPeUDVQbWExeFwFi1aFB8fb2JikpycrKamRuyozsnJYbPZRE46nW5nZ+fMxxvbs+bm5tmzZ+fl5Tk4OKSlpeExfZVFhYTF4/E+/PDD6OhoAwOD1NRU/sPcAIDNZpeXl4usMyaT6e7unpubO2rUqPT0dLz8S5VRFWHxeLzly5efOXNGT0/v2rVrLi4ufecXSme2trbvvvtudna2ra1teno6HrtScVRCWAihwMDA33//XVdXNyUlBY+5CwWLxSooKCB0VlpayuPxiG9pNBqPxxsxYkR6erqlpaVYbVdUlF9YCKGgoKBff/1VW1s7KSlp+vTpAy9ToD0rKChob29PSEjAC7xIAJR9Soc/8vb169clVAteIhEcHCyh8hURJRcWjomlrq7Ov9pE7Ny5cwcAjIyMiHXPJMosrC1btgAAg8FITOaJC2cAAAHGSURBVEyUdF2Ojo4AEBsbK+mKFAUlWY/19OnT8vJy4rKlpeXChQsHDhxgMBh//PGHFLo+y5cvBxntgJVTZK1s8bB7924cvhaTnp5uZ2eXkpIitSaktrZWTU2NTqfX1NRIp0Y5R0larNfi7u7u4+MjnbpMTU3feecdLpcbFRUlnRrlHGUWlpTBq5yPHz8ua0PkAuVZmhwfH0+Mp7e1tUnfAG9vb2Nj46KiooKCgnHjxknfALlCeVqs2bNnx75i586d0jeAwWD03MivsiiPsLS1ta1eYWpqKhMbsDc8deoU/8SiaqI8wpIH8EKuxsbGpKQkWdsiY5REWEZGRvwrVbS0tHoejiIdpBDERiFQ/kloKXPv3r3jx48HBQXZ2toCQGtra11dHV4Cr1IoSYslP0RGRiKEsKoAID093c/PT7YmyQRSWCQSgRQWiURQngFS+SE2NpaIiNzQ0MBgMGRrj0wghSV+ZsyYQZyNeOPGDdV8QySFJX6MjIxwSGYAqKyslKktMoPsY5FIBLLFEjM6Ojr8QbDU1dVxLD9VgxwgJZEIpCskkQiksEgkAiksEolACotEIpDCIpEIpLBIJAIpLBKJQAqLRCL8PzirEuzgDH2kAAACfXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAA5IFYA4gZGNgYNIM3MwuYApRnQaAdUmhEszshISJxUdewQ+5gJmUOsfg4In4nBQIMRJMADJCQ5gIRjSX6uX2lOjoYMgzZMUgSbJDcDowozA5MWExMTsyADswoLI0sGEyNrAhO7CjOToAoLs6QCs7QGEwtHAoukAisbAytXBhO7cAK7eAYTBycDB08GExc3AxdPAi8fA69oBhOveAK/AAO/cAYTv2iCoBCDsAiDqBiDuASDpBSDoAwDjyyDCDMrMwMjiyQbKxcPBwsjG684uzC/qHgR0IlgV4IjrjLihN2ng9McVaZrO+Vwdtp7n5jh2Nem5uS/XsQ2z6TXMVVSz8m64Nye7tqFjt4zdZ2UbzfaC7xc7Ki7UNXpx6Er9iHJkxxF5yo5GZXftRe/2en43VTZacn9f3b7DjY5tsjpOK2fstf+ZNkKx7RnCk4zfLba6/3f4MjtpuC0NpPLIff5NMerP2SdXN21HF4/muh4XUjaSUWDyeHFzYWOx3/JOM0OFXa4sDnX8d9hTac/EuEO/1KzHPf3aTrxFuoA3ZbsmCGo4bTrltb+nb3hjs5z1Jxm7g7bLz2v1/G7m5GTx/61+yu6pzjy5Ro5/Vl5cV9TcZlju7qWk9jv3ftXn690XOWk5VR8fZP9jLtxjpU31J3uTb5vz/7B37FcV83pEsM7+/6UBseQL9pOKjtVHK5ytjnGdes6pa46YNd5cIWj2CtNpx6vLLvdOzY4JttrOQktld3PNmmxY8dRQydbrun7LSraHF8Xmzk1eCg7vPdc5hhySdxJDAAAV7ts+IjymgAAAxJ6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VU1vkzEMvvdX5IxE5K8kzoFDt06A0FqJDa4IISR24bT/L2ynfd9kB9odEvfxY8d+7JXX3/Dj15+fL3+Ph+Sfr6cvL69p+/DpYHb4z1/vPX1nADg8Jj+ku4ePn8/p/vl4d7PcX76dn5+SnZjMx74r9vh8ebxZMN0nyNzRKBNqVpFmJ6GsvVWYfMmQmKGBW7Fn6E0dibkyyozk4ASuwdlyLeEjnAuJzkgx5HuDUiEzE2TUcDIo995maBnhUcpAiuo1vEBbwtdA1ko0nkRd3UfAEuEF2dInQzYGGokSIwykAi3RNZ4k48lYM4tcnwRGPyN7RBdF9Dwt46JXTqICMxIhwgtWT4ooIw1SK0jVJVH0NhmgRlbeJi+TVbpbTryykrGSPX/0yZ7PnkFize0tKwcrMLdRUxqNNFYS6QtUAmqV8mehZC2RtelEZO0+FkvA+lehD2iV3geUta/QOpQiN1brAw8oYFuf5b0yqdQazUbO0sLL9VdoUSpqOjtWOSRijW0QYhDJpXq9Jmx3XsxcBq8aQnFgrYRlmQAYchXobsdiJ6aRb2FdpwUHr9SwG7bihq0FF+wYLe6NxtM69evTel2LSzwkKzWEQLkbYkCLyAqVYNUSNTfNggxWc9I3yZbQTGl8lXcrMac+hlrXXKvV1hZGizl1ffeYSBdCe8PqLXPZRxdM3yaIrQK4yIs0XaK7GFr18ZaxCMROtGJ7eueVRZ+ryFZBY2dtNYb0eHx6+oC0bSQwHwtbYs0ZfRvP4pZ7KbK70Bbm4XxaFuVYnXeX82lfnf6lfT+SXXlfgv6r7JtO7PeybzO/1n1lmWfSfS/5FXXfPuj4uu8Y8rtOm0SMsk/rAu2+O6CnVlObJl88KE7zLRaG5ikOg0yzihYY54kUN/A0dhihaRouCQtPI4QeDMs0KOIWomkchkUm1WMk0CZxi1to1vCw0CRVjKT6pEj0FAgn4aEHJJ7khU5PZRIPOhlt0RkHM23M7AW2qvKin1ktfr/9k7bz4R9qEYBk3gEg+gAAAox6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxlks1uU0EMhV+FZVrdDv4bz0wjFlWFYAWVQGxKFyXKAtEkVQms+vAc3wjRazaT+Bxfj/2Nb1nO7z6sbt/fnb2+Xr255q84P56dlI1seHP69/cUOg99jrL372Scr55XF1y4T+ylU2+T1eKssr6g0rVDb6WRyGRWqg9dI1trs4k74s6hO3ldUyF1jXSv5JNpqWIdsg7WyO5mqC6lj+ZRnaTKJIS78RnSdYwWunPtoZuFbviVEWUaQuFCw2qUsdYdsgh6FIFMEnJ1HmtkMbKiSIdtXIyahdzQGg9kt1l25ZDdMSBalNFRGy1UDbkpamIgUQ61k7S1FHZp8zzoR0cxMBFUiMKooGhee2neDTKptmgDFSySxWxArhVIIGMEnrSVUWvcZ515HhE1LEarIbJbDMhiHipFZQwWE+DN1GyGTegd2b0OC5lscOAYHZRwYdM5u1XrM2tcDBnz8cSGr3BHMDXggOs0QnYbI2TtI9rT0YBDy5CozWX4DK+ZgweuQhxyNYsGyU61hUijCPHpdT12R/F8Mmd7lXkbjEaduOJXT++IFmPXzLuHHjt5et/KZ9P98bC7eTo8XlLZHR4+H45f7h+2+822MJSfv749HjY/tsfy6S3C7f7396fDfrfdH8v+/pJf+Fc3CF/67VKWtiRbl7Ym25a2Jbsu7ZpsX9qe7La0W7L70u7JHkt7JJspcaGckMFlcpzQcWbHCR5nepzwcebHCSBngljxvA/8kuq7q4jzRiSwnMlyQsuZLSe4nOlKoiuZriS68t9e5sXMdCXRlUxXEl3JdCXRlUxX0oJK3lBJJCWTlERSMklJJCWRfP4DxR0CH+zBHI0AAAAASUVORK5CYII=\" alt=\"Mol\"/&gt;</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
@@ -288,7 +289,7 @@
        "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -297,142 +298,81 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAQbUlEQVR4nO3df1DT9x3H8Vf4IRBEBStqQX5U+alOhqsnclYRq1WhCsi620m9bjfa62nmbdzc7O7ibdeb210ttp49brWW3rWKoFV0dRbUQ2pZFYdW1EOnwIFVooDAYChJPvvjqxAghoTk/f0m5P04/2i/Cckbfeb7TT75BlRCCDDmaB5KD8DGJg6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouRGLNhdXaipQVCDN3e24uWFvT2wmhEezsePhx6BWl7T488YwLAw4dob4fROHR7Rwe6uuQbw7HGbFhvvYVp03D//tDtBw9i2jQUFaGxEUFBCAxEefmgKzQ3IygIv/udbJMiOhpBQfjrX4duj41Faqp8YzjWmA3Lem+/jd5epYcA/vxn3L6t9BCO4+5h/eQnuHnTzN5CZnFx8PDA5s0Kj+FA7h5WaipeeQU7duDGDSXHmDYNv/0tvvoKJSVKjuFA7h4WgPffh8GA3Fwzz/Tl9PvfIzwcGg06OpQcw1G8lB6A1ttvw8dn0Jb6+qHXiY3F5s3YuRP79+PnPx/YfuwY9u6lHc/PD/v3D/z33/6G116DVov8fNr7lcEYD+vmTXgN/hbb2sxcbft2FBXhN7/B6tUDG2/dwtGjtOP5+w/635/+FH//O3bvxuuvIzGR9q6pjfGwysoQHDxoy2efYePGoVcLCMB77+FnP8Of/oQtW55sTE9HRATteF7D/vr37MHcudi0CefO0d41tTEelvVeew1792L37oGd1syZmDlT7jGiopCXh3ffRVGR3HftWPzkfcCHH8LDA3/4g8JjbNuGiAhs24a+PoUnsQeHNSAmBnl5qK5WeAy1Grt2ob4era0KT2IPDmuQd95BZKTSQwCvvor0dKWHsM+YfY6VkID29qFrDQBCQvDKKwgNhZ8fli/HrFmDLvXzw549eO89xMTINileesnMq4Rdu9Dbi+ho+cZwLJVQdllQaWVl+NGPMHWq0nMMc+kSvLwwZ47Sc4yWWx8Ke3uRlYWQELS0KD3KYB99hB//GH/5i9Jz2MGtwzp5El1dSEx0uj3WqlVQqXDsmFOcdjE6bh3WoUMAkJWl9BzDREQgMRFdXUPPFXMh7htWXx+OHweAjAylRzFHyl1K3xW5b1inTqG9HfPmOekrr/XrAeDIETx+rPQoo+K+YTntcVASFYU5c/DwISoqlB5lVNw0LIMBpaWAE4cFFz8aumlYFRXQ6RATg/h4pUcBOjpw86aZ7f1h6fUyT+QAbhqWtBvIzlZ6DuD0aQQH4623zFw0dy5iY/HggUueQuOOYRmNOHIEcI7j4IsvwsMDFRVmPqmGp69YXfFo6I5hVVXhhx8QGYmEBKVHAQICsGzZwHO+IaT0Dx9W+Hz8UXDHsKQdgPR63hlYeJI+fz5eeAF37uBf/5J5KHu5XVhC4PBhwDmOg5K1a+HlhfJytLebuXTdOsAFj4ZuF1Z1NRobERqKBQuUHuWpyZOxZMnAOwFD9O/PXOto6HZh9a+LqlRKj2LCwtEwKQkzZqChATU1Mg9lF7cLy3leD5rKzISn55OzLYZQqbB2LeBqR0P3CuvyZdTVYepULFqk9CiDSSP19uLECTOXSg8D1/r0vXuFVV7+5UsvXd6wodvTU+lRhrFwNFy8GElJndOnf3X1ap3MU42ecCfx8fEAysrKlB7EjKYmoVIJtVp0d5u5NDc3F8D27dtln2uU3GiPdePGjWvXrk2ePHnp0qVKz2JGaChefBE9PSgrM3NpVlYWgEOu8zzLjcIqLi4GsHbtWq/hn2x3Dq+/fm/x4s9OnNg2/KKUlJSgoKArV67U1bnG0dCNwpIe7lnO9oLQxOrV/6us3HjgwJ7Hw87u8/b2Tk9PB/Dll18qMZrN3CWs+vr6mpqaiRMnpjrxj/WMjIxMSEjo6Og4derU8Etd62joLmGVlJQASE9P9xn+GVZnYqGeFStWTJgwobq6+rYr/KxSdwnL+Y+DkuzsbABHjhzRDzu7z8fHZ82aNdKlCkxmI7cIq7m5+fz582q1esWKFUrPMoKYmJi4uLjW1tYKc+e6u9DR0C3COnTokBBizZo1arVa6VlGtn79ejyjnlWrVvn7+1dVVTU3N8s+l23cJSy4wnFQIs15+PBhg8Ew5CK1Wr1y5UohxFHqH2JpP6VXaMndu3fP09PT19e3s7NT6VmsNWvWLACVlZXDL/r8888BpKSkyD+VTcb+Hkt66K9cuTIgIEDpWayVmZmJZxwN09PTfX19z549q9PpZJ/LBmM/LNc6DkqkaUtKSsSws/sCAgKWL19uMBic/Wio9C6T1oMHD7y8vLy9vdva2sxe4ebNm3l5eb29vTIPZpnRaAwPDwfw3XffDb903759AKQnW05rjIe1d+9eAKtWrXrWFZKTkwEkJCRcv35dzsFGtGXLlnnz5pWXlw+/qL29fdy4cd7e3q2trfIPZqUxHtbq1asBfPzxx8+6wsWLF6OjowH4+fnl5+fLOZtlfX19Fi59+eWXAXz66aeyzWOrMRtWd3d3YWGht7e3h4eHTqezcM2enh6NRiM9McjMzHzWQdOp7Nq1C0BcXFxVVZXRaFR6HDPGWljd3d2lpaU5OTnjx48HEBwcDCArK2vEXIqLiydNmgQgLCzM7Ot853Hx4sWZM2f6+vpKD4bQ0NDc3NzS0lLLOzmZjZGwWltbP/nkkzVr1vS/x+zh4ZGcnJyTkyOtMkRGRlZVVVm+kYaGhkWLFgHw8vLSarV6vV6e4a1nNBp37twpfY9xcXFvvPGG9BxfMnXq1DfffPPrr792hsJcO6wHDx4UFhampaWNGzfOtKf8/Pzm5mbpOvX19dbn0tfXp9VqPTw8ACxdurT/RpyBTqeT3oRWqVS5ubndT09hrq2t1Wq1sbGx/YUFBgbm5OQcPHiw2+xpzrJwybCampoKCgrS0tL6zwX19PSUerp79+7w65vmkpKSMmIup06dev755wE899xzR48epfkmbGM6Umlpqdnr1NbW7tixQ3qdK1Gr1WlpaYWFhV1dXTIP7EphNTQ05OfnJycnq55+2NTX1zctLa2goKClpWXELy8vLx/x36afTqdLS0uT7iUnJ0fBh76tjwohxO3bt4f8Rfn5+UmFdXR0yDCzcImwrl8X775rWLhw4KOA/v7+2dnZBw4csPXtv2cdTcwyGo35+fnSE5r4+Pjvv//evu9jNGw6jg/X2NgoFSZ1CcDHx2f58uX5+fnWPBTt4bxh1dYKrVbMny8AAYgFC151yI7dNJfZs2ePmEttbe2cOXMUWeg6ePCg9EI1PDz8m2++seemdDqd9GTUyicP9rMUVnOzMHunra2isVGYffDo9eLWLXH7tvntFpeThBDCaBQXLoitW8WsWU96AsTkyeIXvxAnT95x4BsvNq2Lmi50ZWRkyLDe3dnZKX2Q0Mq1EutZ83LHISyFFRwsZs82s33jRgGIpiYzF/3ww5MahjzlbWkRgPjlL83fkcEgqquFViuiogb1lJMjSkvF48fWfjM2sXVdtKSkJDAwUFroOnv2LMlMQgghqquro6KiqPeRbW1thYWF2dnZ/ia/Pzg+Pl6r1d64ccP+26cKKyxMmB6vzIZlMIjKSqHRiJCQgZ5CQ0VurigtFfKsxRQXF/fnMuK6aENDg/Sai2ihSzpMS/uS2bNnX7lyxbG3b1b/krLpaUVSYfa8f0oS1oIFQqUSeXkD203D0uuf9DRt2kBP4eFCoxGVlUL+9ydsykV6jebp6QlgyZIlTWb/FkZFp9NJ72yqVCqNRiP/CRc9PT1SYRMnTjQtbOvWraN4K4IkrF//WmRlCS8vcfnyk+39YRUVicDAgZ5iY8U774h//9vWsR3M1nXR06dPh4SEAJg4cWJRUZH9A5SXl0+fPl1aCjl27Jj9N2iP3t7esrIyjUYTbPKL2iMjIzUaTWVlpZVvTVKF1dgo1GqxYIEwGIQwCevCBQGI+Hih1YrqamsmlE//IuSkSZNGzOX+/fvpT38Lqj0LXaZNL1u27M6dO6O7HQp6vb6yslKj0UjRS8LCwqTCDNI/7TOMENaECSIzc+if8PCRwxJCaLUCEAUFQpiEZTSK//zHju+V2P37961fFzUajQUFBX5+ftIh43L//tlq9fX1SUlJ/Udhy/9UCtLr9WfOnNm0aZO0n5aEhIRYOG1khLD8/ERS0tA/U6ZYFVZPj5g5UwQGipaWEV4VOhVb10Vramqk9+nUavUXX3xh/R05cJlKTtJbk1FRUTExMRauRnUolPzznwIQv/qVK4Ul6V8X9fX1tXKhy9PT88yZM9bceGdnZ05OjvS4X79+fXt7uwMmlt29e/csXEoblhAiI0N4eoqTJ10sLGH7uujVq1etudkLFy5In+5ytnNWHYs8rMZG4e8vEhJcLyxJ/7rojBkz7FwXNV2mSkxMrKurc9SQTsiuj38ZDDhxArt34x//gNFo/jphYfjjH3Hpkj33o6SsrKxLly4lJyc3NTWlpKRs3759+AeUrSG9/71ly5a+vj6NRvPtt99GO+dv4HQUC9FZ3mPV14vUVLF4sdi6VcydKzIyhDC3xxJCPHok4uJcdY8lMV0XXbhw4e3h74ZaVFZWJr1inzJlyvHjx4mGdCqWwtq4UWg0Zrbv2iXWrhW3bokdO54sU929K1QqUVcn2tpEdrbYt2/ol1RWiuxs8dFHDppaIabrogcOHLDmSx4/fty/TJWamupUy1SkHHPajF4vxo0TNTUOuTGnZtO6aF1dXWJiIpx+mYqCY8I6flxMny4ePXLIjbmAwsJC6ScixcXFPWtdtLCwUPqkUERExLlz52SeUHEOCOvOHREWJqw7MowdtbW1c+fOhbmFro6Ojg0bNkh7tezsbBddprKTvWFduyaio8X77ztkGBdjutC1bt06aaHr/Pnz0jJVQEBAgfR+lluyK6wjR0RIiCgudtQwLunQoUNBQUEAZsyYsXnzZmmZav78+Q45Xc51jT6sigqhUokJE8QLLzz5s3+/AwdzJf0feRg/frxKpcrLy3vkPs83n0ElRvv7Ffv68N//DtqiVsO5f9Y1Ib1e/8EHH8ybN0+v169cuVLpcZQ3+rAYs2Ds/0Q/pggOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6LkeCwGAkOi5HgsBgJDouR4LAYCQ6Lkfg/qADmnL020k0AAACqelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAHYobmBkZ8gA0syMTGwOGiAGC5sDWICZESbADqGZ2R0swCqZ2RgSgAxGZm4GRgVGpgwmRtYEJuYEZpYMJqAUC2uCCCMrIxMzC6t4HEgZ3MqJ3zUOfL0tsx/EORcye3/mSYl9ULml/z83w8TtEeIO9uqNi+2h7P0wNtAcB5g5YgDRUST6Mk2ODgAAAPl6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJyNUctqAzEMvO9X6AfWSPIrPu4jlFLihXbbawmF0vSQU/6fSikbNbCUlWyQxiNbGvNn+H7/+Dqezl0Das/j0+kCN+OxERz/WaUUePOI2BxAA+j3D48VhrnrF2SYXuv8Alkc1e+Z3TwdFoSgQssuBSRCaNEl4uwJ0OHVrJZhgJYck48clUmhMKYVplfmDZYa9LjbhRVmEOamK6O0iS7HKyoVOftcVnhJx9lCzPLyprH3dbwT7FfCfqqjSajOplOQ7U0MTZNNHBSyuRSI1j5Jmq1JObNabeXvw5ovvy5x8wPGmHMVInjE/AAAALZ6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxtzL0OgkAQBOBXsYRkuezeP0dlbKwMvbHQC4Ux3BFEKx5eLPdCOfPt7ClSuqbzLVaXOtJhraSwGomgQWFJOkXQkZCkjPpXpFuJFjoUzsDWO6c8dE0RdwbNzl+E7RIVeg813Jc89nOeAor35zHl+BoWcey3OKTvc85pHNIifCDOxJh0kNxl6Yq7Kl1z16Ub7oa5CZazLebrD1wnbRld5noXAAAAAElFTkSuQmCC\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATCUlEQVR4nO3dfVRUdf4H8PcA8jgOSvgwKCoQR0tMkzTRfGTQrdDMHHM7QYvmWO6Bk7+Ojllm52ydndOaUrvtNmrmY7VjZD5GjOUiPhwVUwhFVwFTMUgUkCeRh8/vj0s8jDDyMN97x+3z+sv7vZd7PzO+597v/d47d1REBMYczUXpAtj/Jg4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhOJz8fCxfib39r0ZiTg4UL8d//KlRTx3GwnM6NG1i7FkuX4vvvmxoLC7F2LX75RbmyOuj3Hqz0dBgMtv9hBQUwGHD8OE6cwMKF2Latxdy0NCxciPJysYUNHIhFi1BdLXYr4vzeg5WTg3XrcPNmi8aSEqxbh4sXcfEi1q7FggXIzW2am52NtWtx+7bYwt56C5cvw2QSuxVxfu/Bao/evREfL/dGBw3C66/jr3/FuXNyb9oh3JQu4D7wl78gNhZffYXZszu5htJSVFSgvBxlZSgpQXk5ystRUYHi4oZ/l5ejtBS3bqF/fyQkNPzVG29gyxbEx8NqddRLkQ8H6950OsyciYQEREXB17ehsaoK27ejtLQpGY0pqahASQnKyhomb93qwLZCQ5uC5eODxETMmoV//xuBgQ5+UaJxsAAgKgrdujVN1tbaLrB6NYYOxdtv48MPG1qqqjBnTnvX37071Gr4+MDXFxoN1Gqo1ejeHT16wMenYbJnT6jV8PNr8YfPPounnsLSpdiwoXOvTDEcLAD4858RENA0WVCA5ctbLBAUhOXL8c47iItraFGroddDo2lIhkYDX9+GiEgpaUxMjx4dKyYzs8XkRx8hLAyrV3fiZSmJgwUAM2di6NCmyXPnbIMFYMkSbNmC117DCy8AgLs7LBY5agsJwbJleOcdObblQHxW2F4eHvjHP5Caip075d70smUYPFjujXYR77E6ICoKej22bxe7ld69YTRi0KCmFg8PbNiAXbswYIDYTTsQ77E65sMPm04MBenbFyYTHnywqaWwECkp8PBAUJDYTTuQ6zv33dHb0fz9MWUKfHxaNHp6YvJk+PvD1xc6HTw8Gtq7d8eQIRg0CJGRcHeXqcJr16DX4+RJJCTIt9EuUhGR0jU4tfp6/OlPGDcOL78MV1fFynjiCRw+jE2bEBurWA0dwofCe/jxR2zZApNJyVQBDcMcn32mZA0dwsG6B+lyyrRpCpfx/PNQq5GaiosXFa6knThY9yAFKypK4TLUasyeDSJs2qRwJe3EfSx7Kivh54faWvz6q+3FFvkdPIiJE9GvH37+WeHjcnvwHsuegwdRXY3wcLlTVVKCDRtQX9+iccIEDBmC/Hzs3y9rMZ3DwbJHqePguHGYPx8//GDbHhMD3CddeA6WPUoF6/nnAWDjRtv2l16Cqyt27EBRkdwldRQHq02FhcjKgo8PxoyRe9Pz5sHVFUlJKC5u0d6vH6ZOxZ07+OILuUvqKA5Wm6xWEGHixKZhd9n074/ISNy+jS+/tJ0lDWitXy93SR3FwWqTsgMNbY2IPvMMevVCZiZOnZK/qA7gYLVJ6jsrFaxZs+DvjxMnkJHRot3dveGGMCfvwnOwWnfmDK5eRd++ePhhZQpwd8fcuQBaGRGdPx8Atm0T/hW0ruBgtU46Dk6dCpVKsRqko+HmzbZfWx02DNHRZcOG7dmz51tFCmsPDlbrnOFKzsiRGDECN25gzx7bWX/4w+bU1OmffvqREnW1D3WZyWQqLi7u+nqcR3V1na8vqVR07ZrClSQmEkBPP23bXlJS4uXl5eLi8vPPPytR173dY49VUVFx/vz5srKyxpZLly5dvnyZiKR/A9i5c6e3t/cv99EDK+7l6NE0lSr4uefWa7UKV/Lii4iMPJqdPTU/P795u6+v78yZM+vr6zdv3qxUbfbZC9bu3bt1Ot37778fGRmZnJx869atmTNnvv766/Hx8TExMbW1tfPnz58zZ45Go4mPj58+ffpNm0cg3LesVmtJSd6AAdlKF4IHHoCf35rcXOvdAYqLiwOwYcMGcs7bCOzszT7//POrV68S0cGDB6OiovLy8iwWizQrKirq4MGDRJSSkjJ+/PiNGzcK37fKaPTo0QD27dundCFERPv27QMQGhpaX1/fvL2urm7gwIEADhw4oFBp9rSrj5WZmTllypTmLXq9/sCBA1lZWaNHjy4sLIyIiDh06JCYCuVWXFzs6urq7u5eVlamdC1ERHV1dYGBgQDS0tJsZr399tsAYmNjFSnMvnYFa/HixYmJiY2TZ8+eHTVqVEVFRVVV1eHDh4lo+/btTvLf0HVJSUkAJk2apHQhTd58800A8+bNs2nPy8tzcXHx8vJywpOnewfr448/1uv1t2/flibz8/MjIiKaf3qOHz8+YMCARYsWVVVViSpTRq+88gqA9957T+lCmuTm5qpUKh8fn1u3btnMmjJlCgCz2axIYXbYC9adO3eWL18eFxdXUVEhtRw9enTSpEk2++Tk5OSQkBCtVvv0008XFBQILFYWISEhAI4fP650IS1MmDABwKeffmrTvmXLFgBjxoxRpCo77N2aPGfOnIyMjBkzZqhUKgCTJ09euHDh2LFjBwwYAGDatGmRkZHSktnZ2XFxcZcvX+7Tp8/69evDw8PFnW0IdenSpaCgoJ49e16/ft3Vme7/3bhxY1xc3BNPPJGWlta8vaqqKiAgoKSk5MyZMw8rdfmpVXZCd/bs2YxmCgoKbCabL3zz5k29Xq/VagcOHPjFF1+I/TgIYzabAcyePVvpQmyVl5drNBoA2dnZNrOkY/eSJUsUKawtDhh5b1RTU/Puu+9qtVqtVrtkyZI7d+44cOXymD17Npyyy0JEL7/8MoBly5bZtB87dgxAnz59nOoNd2SwJElJSUFBQVqt9tlnn71+/brD1y9ObW2tn58fgJycHKVracWRI0fc3d1fffXVu2c98sgjAL755hv5q2qL44NFROnp6SNGjNBqteHh4RkZGSI2IcLx48cBhISEtDr37mOQ/Nr6oK5atQrAhAkTbt68KXNJbRFyd0N4eHhycvLIkSOvXbv23HPP7d27V8RWHM5qtQKIau2Whp9++mn48OHTp0+3uWYnM39//7ZmeXp6pqen+/v7P/bYY8uWLdu/f3+1sg+JF5fZ6urq1157TavVBgQEvPvuu3V1deK25RCTJk0CkJSUdPespKSk7t27A+jZs6dTXb+qrKx84YUXAKhUqoceesij2f35Pj4+Tz311Jo1a7KysuQvTGCwJJ988kn//v21Wq3B8Opdw3tOpKKiwsPDw9XV9caNG60ukJ+f/8wzz0j/Z9OmTbt06ZLMFd7typUro0aNAqBWq6XPQ2VlpdVqNRqN4eHhqmb3KPbu3Vuv15vNZunOFBkIDxYRHTlyJCwsLDJyx+DB5AQdFVslJSVmszk8PLx3795qtfrEiRN2FrZYLNLxyNvb22QyKbgbTktL69OnD4AHH3yw1X1SYWGhxWIxGAyBLZ/lHRwcbDAYLBZLaWmpuPLkCBYR5eYWDx1KAPn5UUqKPNu8h7q6upSUlLlz53p6ekrvuK+vLwA3N7c33njDzuWpgoKCGOkrycDYsWMV6dSbzeZu3bpJ+872dNhzcnLMZrNer/dt9jxCNze38PBwo9FotVodPlQhU7CIqKyMZs0igFxdyWSSbbOtuHLlislkCg4Olt5fFxcXnU63adOmoqIio9EoDbiHhITYvx1l9+7d/fr1A+Dp6bly5UrZxpBu374tDWgBSEhIqK2t7dCf19TUpKenm0wmnU7Xrdmz7dVqdXR0tNlszs3NdUid8gWLiOrryWQiFxcC6I9/pN+uQMqkqqrKYrHodLrGzkdgYKDRaLR5K48cOSJdG1GpVAaD4e7rvo2Ki4sNBoO0tuHDh6enp4t+Cfn5+WPGjJHSvGnTpi6uraysrLFD1uqxsq3uZnvIGizJ7t2k0RBAjz5K8tyxnZ6enpCQ8MADD0hvnKenp16vt1qtNrfONbpz547JZHJ3dwcwaNCg7777zs7Kk5OTpRvu3NzcjEZj420gDnfy5EnpKm3//v3tdwQ7ofFY6dfswTqurq6Nx8qOvi4FgkVEmZkUHEwA9epF//mPqK0UFBR98MEHQ5v9NEBERMTatWvb2WnNzMyUzrkA6PX6oqKitpasqKgwGo0uLi4AQkNDU1NTHfciGmzdutXLywvA+PHjhd5CUldX13isbD544e3trdPpTCZTenp6Wx/I5pQJFhHduEE6HQHk4UHr1jlyzXV1ZLWSXk8PPdTw4yF+fn4Gg+H06dMdXVVNTU1iYqK3tzeAvn37fvXVV3YWPnz48JAhQ6ROm8FgcNSdjzU1NUajUXohBoNBzguC5eXle/fuXbx4cVhYWPNjZb9+/V566aWtW7faOcVRLFhEVFtLRiMBBJDBQF1/x7KzaelS0mob1tmtG82b9387d+6sqanpymovXrw4efJk6T2Njo7Oz89va8mqqqqVK1dKneKgoCCr1dqV7RJRUVGRdG+Sh4fH+vXru7i2rrh78MLb29vO8VHJYEm2bSMvLwJo/HgqLOzMGioryWIhnY5UqoZIDRlCJhM58IhRX19vNpulwfcePXrYv/3h9OnTUndYpVLFxMR0ugt8+vTpoKAgAAEBAUePHu3cSkTIzMxcvXr1ihUr7CyjfLCI6OhRCggggIKCKCWFdDpatKjFAllZpNNRZqbtH6ank8FAanVDnjQaiokhq5Xa0QfojLy8vKlTp0qf1yeffNLOl0VrampMJpPUR+nbt2+rl4ns+/LLL6VDcERExDXFvzjbcU4RLCLKz6cxY2jQIEpNbUjJb980IyI6dIgAauwT5+eTyUShoQ1LAhQeTmYzyfN9DovFIp1gajSaxMREO4PvFy5cmDhxYmP3/9dff23P+uvr61euXCmNYrz44ouVlZWOq10+zhIsIqqqorw8ysgggMLCKCCAGs/epGD98ANZLPTkk+Tq2pCnwEB66y26eFHuUgsKCmb/9ju+48aNO3fuXFtL1tbWrlmzRtr39OrVK/PuvW5LpaWlM2bMkAYvTMqOI3eNEwVLIgXr88/J15fi4xsapWAdOECBgQ0nktHRZLFQ1zrlXbVr1y5p8N3Ly8tkMtkZBM/NzdXpdMOGDauurrazwvPnz0vnlf7+/t9//72AkuXjpMHav58++IBcXUkazW48FP7rX/TRR9SFAWEHkwbfpV3XiBEjTp482daS9fX1hXbPTfbs2SNdyBsxYkReXp7ja5WX8warpoYeeYTCw6m21raP5Wy+/fZbaUy8W7dunRh8r6+vN5lM0vjq3LlzK2S+1CWG8waLiFJTSaWif/7T2YNFLQffw8LCjh071s4/LCsrmzVrlnT9xGQytWdQ+77g1MEiopgY8ven3budPViSQ4cONR98Ly8vt7/8hQsXpEFtjUaza9cueYqUh7MHq6CAevSgiIj7I1hEVFlZ2XjvTXBw8P7GV3KX5OTknj17Ahg8eLAzfFPDsZw9WET09783DC7cF8GSnDp1auTIkY333tx92dtsNru5uUnXiEpKShQpUqj7IFh1dTR69H0WLPrt3htp8F2r1e7YsUNqr6qqio2NlTJnNBqd/zsmneN0wbpxg8xmunq1RWN2NpnNyj8RtBOysrIef/zxxsH3jIyMxq8/fP3110pXJ5DTBevsWVqxgn75pUVjcTGtWEGnTilUU9fU1tauWrVKGnyXdmChoaFnzpxRui6xnC5YX39NAP34Y4vG3FwC6LPPlCnJIXJyciIjI5cvXx4dHe2Ez0lzODcwWQQHB1utVpWCv0cgL/4BAfn8flIFDhYTxEkPhbGx8PZumlT28RasE5w0WJMnIyCgabK42PbX1ZiTc9JgxcXh0UebJvPy8P77ylXDOo77WEwIDhYTgoPFhHC6YAUFYcEC2DwSUaPBggUYPFihmljH2fsBAcY6zen2WOx/AweLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQ/w+VNPGeIa/g/QAAAOZ6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAADihuYGRnyADSzEyMbA4aIAYLmwNYgBkuwA6hmdkdLEA0IzMbQwKQwcjMYKDBCGKIAQlJkGmOJfm5fqU5ORoyDNrcDIwKjEwZTIysCUzMCcwsGUxAfSysCQzsDCKMrIxMzCys4lkg3XAnrZ7GcWBpjet+EGfNGuv903IK94HYT8TZ7KW/t4HFz2XfsN+X9HQviM1/e7L9VYal9iD2/8nr95WYzQazXz/3cGDtZwCr/yMTfEDf28gOxBYDAIYtLqeTF+ZNAAABMnpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1STUsDQQy976/IWdghX/N18LDtFhHpFmztVUQQ68GT/x+TyjotLia7kLy8zCSP4Tf9eH59fzl9Dh24PY4Ppy/4NR47w/Gfr9YKR0HEbgsewGpzdz/B+jCsZmS9e5oOeyjm6H7NHA677YwQTNBzIFGqCXoMOZOKAAY8W+tlWJ/rIoTqEUvMKS0wxZgYIktBhp4CRlVaIqoRKaSKuaKfSMSIcYEYbUoKFCOxWMClYikLvOTbYBDlysmJxNHU+kvMdrPY1tXO9I6ITIUXiAVuoJfAtSRVq1NWossRYTvs97fMc8NmGq8E/pF8tZvGJrk7N13VfmnieZqaROpQE8KB2PYlS3Pbymqtt5wvKpeTXc7h+fxoLO6+AezSf0HBgSONAAAA/XpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF3NO0/DMBAH8K/C2CLndA8/4mRCCIkJVQKxVB1SKwOisasSmPrhuXSqM9n3/91jz/x4eEuU0uZ5m/f59UAP100jwLH11iBQsETO9A0DiWXTIIRAVkQj/YoQ2iVkccF70yM4lha1kQCd1YmewEcMcekiYkTdJroskl8ih0ztrYucIzYE3EaMt/V6MLJfItJna4a5TLtLOXcIUzl9lPlzOI05jUCa/PwezyV9jzO8v2g55r+vS8nTmGfIQ0d3/rTT8t5dxzVzxWQ7qV3Wbmu3a3e1u8rbztfs1+Oh9rDy6z/ft4ZwbH8ngwAAAABJRU5ErkJggg==\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
        "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAWPElEQVR4nO3da1RTV9oH8D9JBIKA3DUIiije6w1vqEWsoFi1a3WW6Iy3GVeXttVKZ7TT2r520vfVmdqOtbQK6rJ1asdaS2daL1VnxHYpiq0aLwgICiogoQUDEgFJSMh+PxzFECKVcHaCyfNbfMAN2fvpzJ999tk558SNMQZCxCZxdAHEOVGwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXMgcXQCxi59+gkoFvR59+iAhAT4+vAekYDk7jQZz5iArC0OHwtcXly9DKsWuXZg5k+uwFCxnt2ABiotx5QqiogBAp8PLLyMpCdnZ91v4cKMPG3dmFy9i1Ch88w2ef/5ho06HiAgkJWHzZn4j0+LdqWVmAsCUKS0aPT0xceL9H3FDwXJqlZXw9oafn2V7r1745ReuI1OwnJq7O3Q6NDVZttfVwcOD68gULKcWFQWjESUllu1FRejfn+vIFCynNn065HLs3NmisaAAp07hN7/hOrL0nXfe4ToAcSQvL8jlUCoBIDAQjY04dgy//z0iIpCaChnHzSbabnABn32Gv/0NhYUA4OOD3/0O771nZUUvKgqW8yoqwjffIDoaU6cCwJ07aGhAcDC6dLHD4B1aY+3bt++1114TqxQistOn8cYbDxdY/v4IDQVjWLUKaWm8B2/rKNvQ0JCenl5YWLh+/XoAW7ZsycnJARAREbF48eINGzbExsYGBARs2rRp0KBBM2bM4F0raZ+bNwGgT58WjaWl+PBDRERg+XKug7cVrJSUlICAgB9++EH455EjR9LS0vz8/KRSKYDZs2fv3LlTrVa/9tprI0aM4FolsYXVYN24YaWRg7YOhW+++eaiRYua/3nnzh2FQiGTyby9vb29vbt169a1a9fExES1Wq1QKHgXStrNaoaspo2DdpxwhoWFrV69uqysLDIy8oMPPqipqfnjH/8YHh7+7bff8quP2M5qhjphsNLT0wEwxqZOnZqfnz99+vRTp0599tln8+fP51YesVVjI8rLIZMhPLxFuxCsyEje47fjrLCysrL5e5lMBuDEiRNffvnloUOHxK+LdFBxMUwmhIdb7oJ2hjXW4cOH165dW1VV9frrr1+8eHHhwoWvvPLKnDlzYmJioqKiACQkJADIyMjgXSVpt0cd8ux1KGxrg7Smpkar1QrfC8v24uLigIAAvwebtk1NTcOHD6+urj516lQk/9mVtMO2bXj5ZbzwAj755GFjbS18fSGXo74ebm5cx29rxvLz8+v9gLu7u0QiiYyM9DN7K0AqlU6ZMgU0aXVCbe81cE4VOn51g3A0/P7778UohojH6iLdXsdBdDxYcXFxXbp0OXPmzN27d0UpiIijjb0GuyxaOhosX1/fsWPHGgyG48ePi1EPEYlDd0chyoV+8fHxAI4dO9bxrog4amtRXQ25HCEhLdrttdcAUYI1ffp0AMeOHWtqfW01cYTS4uLDkyfnzppluUh/smasiIiIyMjImpqaCxcudLw30nHni4pmnjjxZkODeSNjbFtIyPG4ONOTEizQTmknc/PmTQB9WgaooqLi5ePH5+TkSHx97VCDOMGiZVanYjVYVhv5ESdY48aN8/X1LSgoKC0tFaVD0hFChizeC7HayI84wZLJZFOmTImKGpGZWS1Khw7HmF6nu9bQcLmp6cnbn7M6Od24caN1Iz+i3QA0adKWbdukcjkWLhSrS4eprt5z69arRqPGzU0GuIWGruvR4w1HF/W4GGPFxcUAIiIizNvtfCgULVgzZkhlMhw/jtpaOzzWiyO9/mZx8ZLg4JdDQ9dJJF46XS4gdXRR7VBRUXHv3r2goCDflov0J3KNBSAgAOPHQ6/Hk35qeO+eirHG7t1XSaU+bm5SuXy4XD7U0UW1w6MOeU9qsADMmgUAT/plfzJZMIDKyo8YMzq6FltYDZDRaCwrK5NIJL169bJPGeIH67vvYDKJ2Ku9+fjEBgTMr6jYlJMTVla2WqcrcHRF7WP17K+0tNRoNPbs2dOD80NmmokZrCFD0LcvKitx7pyIvdqfpE+fLwYPvhQQsLC6eu+VK09VV+9xdEnt0MYmlj0vxhT5aTPPPgs8+UdDAHL58LCwjUOHFnp7P61WvwlAry9ydFGPpTPsjkL0YAlHw4MHxe3VTkymOosWicTL13eawfBLY2PplSsjr12b2vmPjFYX7098sOLi4OODS5esPOurk9Prr+fnj66o2KjTXa2t/YGxJgBGY2V19Zddu47W6a5KJO61tT/k54/8+ef/M5l0jq7XOqPRqFarJRJJeMu7vuy8OwrRg+XujoQEADhyRNyO+aqryywoGKfTXa2u/qqu7nRR0XPZ2f65uZGXL4ebTA29e+/w9U0YMqQwJCTZZGosL1deuTJUq+2M/4VGo3Hbtm3r168/cOBAQkLChg0bVq5cqdfr7T9jgYlt504GsJkzRe+Yl+rqvRcueKpUuHYt0Wi8yxhraqqvq/vpzp19dXVnTSaD+S/X1p7My3tKpYJKhcLCWXp9iYOqtu7WrVtvv/12jx49hP9zu3btCmD06NG7d+/++OOPq6ur7VaJ+MGqqGASCZPLWX296H2LzqRWK1UqN5UKpaXJJpPxsV5jMlRUpFy86KNS4cKFrmq10mTS8y70V508eTIpKanLg2dfDRw4MCUl5dSpU3379gXg6+v7r3/9y571iB8sxti4cQxgBw7w6Fs0JpPu5s1FKhXOn5dWVGxu78sbG9XCy1Uq5OUNq609xaPIX6XVardv3z506P33Btzd3ZOSkjIyMkwmU/MvzJkzB4Cbm1tycnJjY6N9CuMSrHXrGMBWreLRtzgMhqqrVyerVLhwwbum5qDN/dy9+31u7kCVCiqV282biwyGShGLbFt+fn5ycrK3t7cQKYVC8cYbb9y6dav1b5pMppSUFGEyi42NLS8vt0N5XIJVVsYuXGAP/mY6HZ2uKDd3gEqF7OzQ+vrzHeytqalBrf6LsEq7dCmwouLTpqYmUeq0Sq/Xp6enx8fHuz24nn3ixInp6ekGg6HtF2ZmZoaGhgIIDg7OyMjgV6HAxmAtWsSmTbNs9PFhaWns888ZwP70pxY/UijYu+/aNpTIamuzLl0KVqmQlzdcry8Vq1udrqiwcIZKhS+/jIuOjj579qxYPTcrLy/fsGFDWFiYkCdfX99ly5bl5OQ8fg+VlZXTpk0DIJVKlUol1z8AG4M1bx6Li7Ns7NKFffwx+/xz5ubGunRhFy48/FEnCVbrE0Bx3b799aBBkQBkMtmrr76q1WpF6VZYmMsePDdGWJjX1tba0JXRaFQqlRKJBMDMmTOrqqpEqbA1LsFyd2e//S0bO5Y1/0k4PFgmk+nWrf8VTgBv3frTY54A2qCurk6pVLq7uwvrnl27dplsXRM8amHe8SIPHToUGBgIoE+fPpcuXep4h63xClZpKfPyYqmp93/k2GDpdLqFCxf+z/+MP3++iw0ngDbIzs6eMGGCEIi4uLi8vLx2vdxiYR4aGvqohbnNSktLY2Jihg4d2r9//x07dojYs8D2YPXsyVasaPElkTwMFmNMqWR+fuznnxlzaLA0Gs2kSZMA+Pj45OVxX7Q2M5lMu3btCg4OBtClS5fk5OS6urq2X9K8MG/evn7Mhblt9Hr9+vXrFQqFQqFYsWJFvagbj7YHKzSUvfRSiy+LYDU0sL592fz5jD0I1tGjLDWV5eQwnqvGFoqKigYMGCD80V8wX/TZS3V1dXJysrCmiYyM/O6776z+mlqtbr0wz83NtUOFR44cGTBggEKhmDRpUn5+vljd8joUCv7zH+bmxjIz7wdr3jwGMID5+LD4eKZUsowMptN1oPw2ZWVlCRPG8OHDS0tFOwG0wblz58aMGSOEZtasWcXFxc0/sliYDxo0KCUl5VfnNnFdv379mWeeUSgU/fr1+/bbb0Xpk2+wGGPPP8/GjmU9erB332V79rCFC1mvXvfjJXx5ebG4OPaXv7CjR5lNJzrW7d2719PTE8CMGTPu3hX/BLC9DAZDSkqKcIODl5fXmjVrUlNThwwZIvrC3DY6nW716tXCYXHlypUNDQ0d7JB7sEpKWNeuDGixxiovZ+npLDmZRUczieRhyKRSNngwW7aMpaezSls3sU0mk1KpFPYPk5OTue7WtFdZWdncuXOFJDUvzJVKZUVFhaNLY4yx9PT0yMhIhUIxbdo082nVBtyDxRh7913LYJnTallGBlMqWXw88/B4GLL+/bMjIyMXLVq0ffv2x19tCCeAwh7g5s32OAG0wdq1awGEh4fv37/faOS18WGbnJycmJgYhULRv3//Q4cO2dyPjcE6eZK1nrb37GEFBay4mFm8j67Xs/R09jjrwro69v337J132NSpLD5+i/nlPQqFIikpKSUlRaVSPWoSqqqqmjx5MgBvb++DB21/B5C3lStXAli3bp2jC7Hu7t27S5cuVSgUoaGha9eute19ay7vFYrCaDTm5uZu3749KSkpKCjIPGQ+Pj7x8fFKpTIjI0P3YPHv8BPAxyd89NDx48cdXcgjmUymtLS08PBwhUKxdetW8x8ZDIbs7Oxf7aHzBsucyWTKzc3dunXrggULLC669fLymjJlypIlS/z9/QFER0er1WpH13vfrl27Nm3aVFLS4mJArVYrlUrd3d3F3Tfi4cyZM4sXL9aZnbc3NTUZjcZRo0b96mufjGBZUKvV6enpycnJ0dHRwhaRRCLx8PCIj4/vDCeAzcaNGwfg6NGj5o2HDx8GMGHCBEdV9Tjef//9SZMmlZWV1dbW7tix45lnnhFmqdmzZ3/wwQfz5s1bt27d4sWL2+jhifyw8dDQ0KSkpI8++kilUlVUVOzbt2/AgAF6vT4hIcGn1XMjampq8vPz7V/kvXv3Ll68KJPJxo8fb95+8uRJAE8//bT9S3pMeXl5586d8/f3NxgMV65cCQkJCQsLq6+vB7Bnzx4/P7+CgoJhw4Zt3769rV7s9TfAlzAN9O7d2+IkKzMz08vLKyYmxv4lCc++Hz16tEW78P7So7bgHc5gMMyaNevq1avPPffczZs3hcaXXnrp9OnTjLFr165NmTIlPz8/NjZWo9G00c8TOWO1lpiYGBUVVVJS8t///te8ffTo0Z6enj/++OP58+ftXJLVmUmv16tUKolEEhMTY+d6HlNaWlpsbGz//v2t/jQsLOy9994bOHDgX//6V782P67cSYLl5ua2bNkyAKmpqebtcrn8D3/4A4Bt27bZuSSrwTp79qxOpxs6dGhAQICd63kcJSUlqampAQEBu3fvvn37tnAcMCeXy4X3piZNmiR80O6jOEmwALzwwgteXl5HjhwpLCw0b1++fLlEIvniiy+qq+33tEGj0XjmzBk3N7eJEyeat3fyBZZMJnv77bfFeXCIHQ7bdrNkyRIAf/7zny3ahSfRf/jhh3ar5MyZMwAGDhxo0Z6YmAhg7969dqvEZvPnzy8pKSkvL587d25MTMzMmTM/+eSTx3+5UwVLeNC8v7+/xRbR/v37AfTr189u7xtu3LgRwNKlS80bjUZjt27dAIh7yV7n5DyHQgAjR44cO3bsnTt3vv76a/P2WbNmRUREFBUV2e1Tyqwe8i5fvqzVavv27dt83ZUTc6pgAVi+fDmAtLQ080aJRCIs7S3aOWGMnT59Gq2C1ckXWCJz9JQpMp1OJ1zcZ3ED1u3btz09PaVSafPeDD95eXkAevbsadEu3JH86aef8i6gM3C2GcvDw0PYX7CYnIKCgubNWzx+/JavvvLmXYMwM8XGxlq0Z2VlgWasJ1dxcbFUKpXL5RZbw1lZDGDBwRwvhhYsWLAAQFpamnnjtWvXAHTv3p3v2J2Gs81YAHr37p2YmNjQ0PCPf/zDvH3CBERH4/Zt/PvffAuwupZyrQWW8y3eBStWrJo8ef/+/cstnt/84osAwHUFX1ZWVlpa6u/vP3jwYPN2VwuWEx4KGWMmE4uKYgA7fLhFe309CwhgADvf0UeBPNLu3bsBzJ4926JdeE5VJ78CUUTOOWO5uWHpUqDV5OTlhcWLAaDtKz46wurM9Msvv1y/ft3X13fYsGG8Bu5sHJ1sXqqrmZcXk0jYjRst2gsLmUTCvLwYp8cmCkfAH3/80bzxq6++ApCYmMhlyE7JOWcsAP7+SEqCyWQ5OfXrh6lTce8e/vlP8QfVaDT5+flyuXzUqFHm7S63wHLWxbtg+XIA+PRT6HRW2rdsAWMij5iVlcUYGz9+fPNtgwIKllMZOxZjxkCjQXp6i/bZs9GrFwoLcfy4yCNaDZBWq83NzfXw8Gi+y94VOHOw8GBysljCS6X4+99x4ABa7Y13lNVgZWVlNTU1jRkzRrjl30U4ebDmzUNgIM6cgUrVon3uXMyejTYvgWy3+vp64e4J4eacZi54HITTB0sux5IlALB1K/exfvrpJ4PBMHLkSIs7hVwzWG5M9BVsJ3PjBqKi4OGBW7cQGMhxII1Gc+TIEU9Pz6SkpOZGvV7v5+fX2NhYVVXV9t0HzsbR+x32MGMGA9jGjQ4Y+sSJEwBGjBjhgLEdyskPhQJhCb91qwM++tU1j4Nw+jWW4Nln0acPrl9HZqa9h3bZYDn/Gktw8CC6dRN/f6FtTU1NgYGBWq1WrVYLnwrhOlxixgLw/vtITkZNzcOW3bvx1FN8B83OztZqtf369XO1VAGQOboAOyktRWkp3nrr4WapVoviYjGHuHv3bkVFhUaj0Wg0VVVVwkkiXPI4CNcJFoDnn8f27Vi0CO19bILBgKoqaDTQaKDV3iwrO6x5oLKysvn7xsbG1q+dP3/+YuFKHRfjQsEaPx4SCV58EefP48HnRcJoRFkZKivv50ajwe3blv+8c+dhJ08/3Xjy5CtW+/fx8QkJCQkODg4KCgoMDAwKCgoJCUlMTHSha7DMuFCwAGzciMGDsXkzVq2631JQ8OsrLakUQUH3v4YN83rqqeVBDwQHBwtJCgoKEueRB87CtYIVEYG33oJSiblz77eEhKBXL4SEIDj4YXq6d3/4fVCQxX59OJBqpWvSkmsFC8Drr2P3bqxZc3+lFRKCkhJH1+SMXC5Y7u7YvBnTp0PiKjstjuGK/+smJCApCV984eg6nJorBgtASgq8ud9q79Jc5VC4Zg3M729QKLB3LwoKHFeQs3OV9wqJnbnooZDwRsEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtw8f8M1e4VFPV7yAAAAQF6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAALihuYGRzyADSzMxAhgaIwcLGAKHZGcASTHAJdgjNLAChmTggCpkYDDQYgQxGTSAhyQEkHEvyc/1Kc3I0ZBi0YZL82CS5GRgzmBhYExiZFBjZEpjYNZiYWRRYWDOYWIA8DgZmTgYRRlYGRjYWVvEmkCFw1/c2M9pLWJ7fD+KEtEbZ981V3gdidzvxO8j4XrUDsS2mOR4oWX5zN4jNmX5iv3bWVrAaJYfa/d/n3APr/Vh+a1+1rrw9iH1rgbTDop2fwezi1miHHIO/YPV+TLEHMtW2g8XFAIL4ORmtnLBUAAABYXpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1STWvDMAy951foPKiRbFmxDjskTRljNIGl27WUHbrCGAz6/5mckTpjYYpDLOm9hz7iz1/n4+nj2h7f3k+Xz6aCbM/d0+UKN/NdZXH856gqvAZErPaQL9DuHh572B6ado5sh5f+MAJhPtPzG9schv0cIdgCuohRiWFDTiiphdHhZIXqJ2CKIWoNG3Rk30QrwGBA73xIHGpLM4kgr+AYetgEh55r5ayIKMJ+BRlN0UqLEoUnZIgcvKwgJWui06ReMHPqoCRxBVnDmJHsRTQriac6pRVggsHa4UCiAcgpMmFYwSncQTAcosdJWTnScpCwb8bxnuk2eTSGDYCj9SImbdwkfxkUZ8au737t7meb7dB3ZZtsry87y66UzVgOQlkAm1uXKVsOUhllFotlXuYUqTS5dWmejKuL1qZKcFn5ss7sz3+s3atvOdKYwV+HxQ4AAAEqelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicZY8/T8MwEMW/CmNbudadfXf2JWKoEGKDSiCWqkMbZUA0SdUGpn547E5xmOx7v/fuzw55tX9tsG+axdNiR7jaLx/flld8uC3W3hJ7Fwxa8hDF1EkBR0HNGiyACDkXk4qWhYWy6pm8y06wGjX9EgxeMZgaLAMrUpYEo/osRfasIScxvRFN7azzkciAJRQBMrXP48FlEynx3UMeRdNiCoT3aeREVFJKHIYYzdIcxqHbXoZzBbYbTh/D+Hk4tX3TWkzK9ed4HprvdrTvz6ls+9+vy9B3bT/a/lDhhG+2qZxyrlyJXYGRKl9yP+dUcppzLjnPuZRcCi5V+HdvmAReNqmc3RvLhnHWUEuss31ufyAWrDJbwD6aAAAAAElFTkSuQmCC\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>B</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAeFElEQVR4nO2de1yUVf7HPzPD/Q4CykVQxFWxNPGCKWAqilwqtWbdLNrVTbbsFaW2kq9SfmYX1jXD1Gzc0kDNwmuWIIEXEFcNvC6FKyoXFbkIDDe5zcz5/fGwqDj3eZ55hvG8X73mVc+c55wP8eGc83yf7zlHQAgBhcI2Qr4FUMwTaiwKJ1BjUTiBGovCCdRYFE6gxqJwAjUWhROosSicQI1F4QRqLAonUGOxTEoKZszAc8+hubn3V/X1mDEDL7zAhyyjY8G3AHOjuBg5OQCQlIT16x/6qrMTOTno148XXcaG9lhcsXEjLlzgWwR/UGNxwuzZkMnwt79BLudbCk9QY3HC888jNBQFBZBI+JbCE9RYXPHFFxCJsGIFKiv5lsIH1FhcMWYM/vpXNDXh3Xf5lsIH1Fgc8umncHfH7t3IyOBbitGhxuIQNzd8+ikAvPMOOjsf+urqVVRX8yLKSFBjccvChXj6aZSUYMOGh64vW4YBAzBkCF59FVu3orycJ32cQQOk3CIUYvNmjB+Pjz5CZOT963Z2sLfHjRu4cQM7dgDA0KGYMgVTpuCZZ+Dry5de1qDG4pwxY7B4MTZuxOrV9y/+8APkcly8iPx8nDqFnByUlKCkBF9/DQBeXggNRUQEJk/GyJF8CTcIAV3+xS5/+xu2bsX27fjLX+5fbGzE8OGoqgKAfv1w927vu+RyXLnS7bCjR1Fff/+rPmoy2mMZA2dnrFuHV15RWUAkwsiRGDkS8fEPmezYMdy5gz17sGcPAAwYgLAwTJ6M0FAEB0MgMNpPoDuEwgYKBdmwgTQ3k/h4ApDt25WUmTaNAKRfPx2qlcvJxYskJYXMmUPc3Qlw/58RI2pfeumlr7766vfff2fph2ATOhSyw9Kl+PxzTJ+Od9/FpUuIjsaTT/Yuc+0a9u2DrS0SEvRs5cYN5OQgPx8nTsDb+8DZs3OZ656enhMmTAgNDY2IiBgzZoxQyP/DPjUWC3zwAT7+GFZW2L8fMTFGavTKldvHjx/Ky8vLzc29c+dOz3UPD4+wsLApU6Y888wzTzzxBF8mo8YylPXrsWwZRCLs3g2xmB8NN27cyM/PP3Xq1C+//FJWVtZz3dHRMSQkJCIiYvLkySEhIZaWlkaTRI1lEF98gbffhkiEtDTMn8+3GgBAZWXlqVOncnJysrOzS0tLe647ODhMnDiRMdmECROsrKw4lUGNpT/btuG11wBAIsGiRXyrUUZpaWleXt6JEydyc3MfNJmTk1NoaOiUKVPEYvHgwYM5aZvXR4c+TGoqEQqJQEA2bza0qtpaIpWyoUktlZWV6enp8fHxQUFBgv8FKt57772rV69y0Rw1lj7s20csLAhA/vEPFmpbuZKIRCQoiMTHk/R0cvcuC3Wq59atW7t27Ro5ciSApKQkLpqgxtKZgweJpSUByJo17FT41lvEyup+gEooJKNHk7ffJvv3k9padppQyuHDhwGMHz+ei8rpHEs3srPx3HNob8fSpfjsM9aqbWvDuXPd0fb8fLS33/8qIKD7fc60aSy/nG5ra3N3d29vb6+srOzfvz+bVYPOsXQhP5/Y2xOAJCRw2EpbGzlxgvzf/5GpU4mt7f2eTCAgQUFk8WJy4MClO3fusNJWdHQ0gG+//ZaV2h6EGktbTp8mjo4EIAsXEoXCSI12dZHCQpKcTGJjibNzt8OCgsYDCAgIiIuLk0gkZWVlete/ceNGAPPmzWNRMwMdCrXi4kVMn476esTF4dtvwUs0u6sLv/6KvDxFfv5zeXm5LS0tPV8NHTo0PDycibYPHDhQ+zpLS0sDAgJcXV1ramosLFjNSGDdqubH5cukXz8CkLlzSVcX32oIIYTIZLLCwsKUlBSxWOzq6vrgL9TLy0ssFkskkqKiIm2qGj58OIC8vDx2FVJjaeDqVeLlRQAyaxZpb+dbjTJkMllBQcG6detiY2NdXFweNJmfn19cXFxjY6Oa25cuXQpgxYoV7KqixlJHeTnx9ycAiYggbW18q9ECuVxeVFQkkUjEYnG/fv0AuLm5yeVyNbdkZ2cDGD16NLtK6BxLJbduYcoU3LiByZORlQV7e74F6YhCoSgqKqqoqIiNjVVTrLOz093dvbm5uby83M/Pj63W+U/cMU1qajBzJm7cQEgIMjP7nqsACIXCUaNGqXcVACsrq+nTpwPIyspis3UW6zIb7t7F9OkoLsbo0cjIgKMj34I4JioqCkBmZiaLddKhsDeNjYiIQGEhhg1Dbi5Yj0ibILdu3fLz87O3t7979661tTUrddIe6yFaW/HssygsxNChOH78sXAVAF9f3yeffLKlpSU/P5+tOqmx7tPWhthYnDwJPz9kZ8PLi29BRoR5t8PiaEiN1U1nJ158ESdOwMcHx4/D359vQcaFmWZlsLd7CZ1jAUBXF158EYcOwdMTJ05gxAi+BRkdmUzm4eEhlUqvXbs2ZMgQwys0/x6rqQkNDbh3T8lXXV1oaEBLC7Zvx6FDcHfH0aOPo6sAWFhYzJw5E8CRI0dYqdD8jTV9OtzcEBiIxsbeX+XkwM0Nc+di0SIkJiIrC088wYdE04DdoIP5G4vhzh0kJan8ViBAcjKCg40oyPSIjo4WCoXHjh27p7R715HHxVj29ti0CefP863DhPH09AwODpbJBKdO/W54bY+LsZYuhVz+WO+PrQ3z5h20tm45dGic4VWxb6yysrLLly/fuHGjoqKioaGh+dGjP/jghRcwaRIKC7FlC99STJjQUJ+WFsHhwyxUxfI2Rvv379+2bdvhR6RZWFg4OjqKRCInJyfmUygUOjs7M58CgcDFxYX5BODq6uro+ISFRQwAJonNxQUCQfenszOEwu5PJyeIRFoJEwiwaRPGj8f772POHPj4sPtzmwkTJsDTE6Wl+O9/MWyYQVWxaay2trYFCxY0NTUNHz68s7Ozq6urpaWF+ZTJZA0NDQDuPrrpmDLCwhadPKnt9hqMvZhPR0dYWHR/DhqEf/3rfrExY7BwIf71Lyxbhu+/1/3HewwQCjFzJnbuREaGKRnrxx9/bGpqCgkJOXPmTK+veuzV3NzMfMrl8qamJuZToVA0NjY++Onq+vSIESAEUikANDTc/5RKu6/3fDY13f/2QQIDe19JTsbBg/jhB8TFGW9bmL5FVBR27kRmJpYsMageNo21c+dOAK8o27jO0tKSSc328PBgsUWGxkYoFN2fTU2Qy7s/H93wzs0Nn3yCRYvw9tuIiGBdiDkwaxZEIuTmornZsHwhtlJRa2pqLC0tLSwsqqqq2KqTFcaNIwC5dKn7P+Vy8vTTBCDr1pGMDAKQGTN41Wd6MP9/Dh40qBLWngp3797d1dUVFRXF/ppaVhEK8eWXEImwZo2STWYpAKKiAMDACDxrxlIzDpoaTz2FN99EYyM++YRvKSZJdDQAQ49pYcdYJSUlBQUFTk5Ozz77LCsVcs2aNfD2xpUrfOswSYKD4e2NmzdRVKR/JewYKy0tDYBYLLa1tWWlQq5xcsLatXyLMFUEgu5DNAzptFgwFiHku+++Qx8ZB3t4+WVMm8a3CFPF8GkWC4l+J0+eDA8P9/HxqaioMIWNoHtx+zY6OuDri0c33Wxqwt27sLV9vLKQtaGpCe7uIAS1tXh4cbW2sOADZtr+6quvqnJVdXV1bW2t4Q3ph48PAgJ6u+rmTXz4IbZuRUAAdZUSnJwwaRJkMuTk6FuFgTGPjo4OZin3f/7zH1Vlli1bZmlp+eWXXxrYFosUFhKADBzItw4TJjm5e88m/TDUWHv37gUQHBysqoBcLvfx8QFw5swZA9tiEYWie6sP1X8OjzuXLxOADBig52Zghg6FGsNXR48evX37dmBg4IQJEwxsi0VYefAxb558Ev7+qKrChQv63G6QsRoaGjIzM0Ui0UsvvaSqzI4dOwDExcUJTOysKlbiy+bNrFmA3n97hvSWW7ZsARAZGamqQGtrq4ODAwCONhM3BKmUWFoSS0tj7LHeRzl4kABk0iR97jWox+rpjVQVOHDgQEtLy6RJk4YOHWpIQ1zg7Iynn0ZXlwEPPuZORASsrXH2LOrqdL5Xf2OVlZWdPn3a3t7++eefV1VGo/P4hY6G6rG3R3g45HLos8GR3v3k6tWrAcTFxakqUF1dbWFhYWVlddcIZy3oxaVLBCBeXsbbBbnPcfgw+eYbUlOj8436J/ppfI2za9cumUw2e/ZsJtBlgowaBT8/VFTg4kWMGcO3GhPj999RWQlHx+5khwfp6MDJk7CyQni46vv1MzKTfOzl5SWTyVSVCQ4OBrB37179mjAOzEm7H33Etw7TY+HC7m3lf/6591c3bxKA9O+v7nY951jM5Gn+/PkiFatkiouLz58/7+zsHP2o4U0JOs3SyJtvorVV57v0MZZMJtuzZw/UjoNMIs28efNMPJFmxgxYW+PMGX0efB4H/PxQXo5PP9X5Rn2MlZmZWVNTExQU9NRTTyktQAj5/vvv0RcSaeztERYGuRy//MK3FJNk6VI4O+Of/0RxsW436mOsnnQGVQVyc3PLysr8/f1DQ0P1qN/I0NFQDf36YeVKdHbi9dehU4KVzsZqamr66aefhELhfNVnIDPOM8HXOEphJoGZmVAo+JZikiQkYPhw5OUhLU2Hu3Q21p49e9ra2tQcBtTe3r5v3z4AL7/8sq6V88Lw4RgyBHfvoqCAbykmiaUlNmwAgL//HfX12t6ls7E0pjMcOnRIKpWOHz+eOf2nT0BHQ/XMnAmxGLW1SEzU9hbdjFVRUZGXl2djYzN37lxVZfrQOrAeGGPRFBo1bNgAJyds24Zff9WqvG7G2rVrl0KhmD17trOzs9ICdXV1WVlZFhYW8+bN06lmfpk6FXZ2OHcO1dV8SzFVvLywciUUCrzzjlazeN2MpfE1zu7duzs7OyMjI018PXQvbG3xzDNQKMDSzq7myTvvYPRonD6NPXs0F9bBWOfPny8qKvLw8GC211VKXxwHGaKj4e/fdfnyZb6FcMiZMwbt32RhgY0bIRDg44+1KK39y6MlS5YASFB90HZJSYlAIHBycmptbdW+WhPh+vUyAC4uLl0mcogq25w7R1xciEhEjh/XqjzzrnDHjt7XX321+x0iO+8K5XL57t27obY32rFjByHkhRdesLOz07Ja0yEgwH/48OFSqfT06dN8a2Gf//4X0dGQSvH88zAwaP3Pf+Lhs4KVo62xsrOzq6qqhg4dOn78eKUFCCG7du1C3xwHGVg/T8ZEKCnB1KmorkZkJL77DurPFD97FtOmoa4OHh4ICFCyRZanJ9auRUCAplNhtOxImWjnmjVrVBVgDo7y8fFRk0hj4nB0iC2/6HT68PnzxNWVAGTVKkPb1cpYLS0tDg4OAoHg+vXrqsq8/vrrABITEw1VxB8dHR2Ojo4AysvL+dbCDrdukYCA7gURzc0aCl+5Qvr3JwCZM4cYPs/UylhMDkxYWJiqAj3roS9fvmyoIl6ZPXs2gK1bt/IthAWqq8mIEQQgISGkqUlD4ZIS4u1NABIZSdrbWWhdK2PNmDEDgEQiUVVg//79AJ566ikWFPGKRCIBMGfOHL6FGEpDAxkzhgBk9GhSV6ehcHk5GTSIAGT6dM3DpZZoNlZlZaVIJFK/JoJ5w7Nu3Tp2RPHHzZs3BQKBg4NDOyt/tjwhlXbvvDpsGNG4I6xOw6X2aDbWunXrAMydO1dVgfr6emtra6FQeOvWLdZ08ceoUaMA5OTk8C1ET1pbSVgYAUhgILl9W0PhmhoSFEQAMmYMaWhgU4bmcIPGYHp6enpHR0dERISPWZz30KeDDj2nDw8ciOxseHurKyyVIjISv/+OUaOQk6PnPlgqUe+73377DYCrq6uaoYFJE01LS2PT8PyRm5sLYMSIEXwL0Zn29va//OVdF5d6Hx+i+vG9m8ZGMn68tsOlHmgw1vLlywG8/vrrqgqUlZUJBAI7O7tmFsdnXunq6mKO9Ll27RrfWnSgs7OTWZI+aVJkcbGGwq2tJDxc2+FSP9QZSy6XM2mi+fn5qsqsWbMGwMsvv8yBNt744x//CGDTpk18C9EWmUzGbPjj4uJy7tw59YXv3SNTp3bvO1daypUkdcY6evQogEGDBilUL0Fn0kSPHDnCgTbe2L59O4CYmBi+hWiFQqFYtGgRACcnp19//VV94Y4OEhNDAOLjQzjtkdUZa8GCBQBWqQ3vX758eeXKlWaWEVBdXS0UCm1tbU0/TUOhUCxevBiAnZ1dbm6u+sIyGRGLCUA8PMhvv3ErTKWx2tramDTRK1eucCuBD+RyufoC48aNA5CRkWEcPXrDTIJtbW2PHTumvqRMRubPJwBxcSGaRksWUGksJkkmJCSEcwlGJz09PTAw8ObNm2rKrFq1CsBbb71lNFV68P777wOwsrL6+dH9FR5GoSCLFhGAODkRTaMlO6g0FvOIsXbtWmOoMBa1tbXMxBzA6tWr1ZRksrIGDx5sNG268tlnnwEQiUTp6enqSyoUivfeKwWIgwNR/RjGMiqNVVBQYGtr6+vrq3E+2FfIyMjw9vZmpiMpKSlqnkgIIXK53NPT02RnAhs2bGBctWvXLo2Fly9f7uTkPG5c/tGjRpDWjUpjlZaWjh07lvk1pKamGk8RB0il0vj4eKajmjx5cklJiTZ3MSlo69ev51qernzzzTcCgUAgEGiThfHBBx9oOVyyi7qnwvb29oSEBOb3ERcXd+/ePaPJYpGsrCwmGmdra5ucnKxx2t7DRx99BMDDw2PFihVHjhwxkQhwamqqUCgUCASbN2/WWLhnuPzhhx+MoO1BNL+ETktLY3LYg4ODS7kLqHFAa2trQkICs3/ExIkTtR/UOjs7V61aZWFhYWlp2fPuSyQSjR07NiEhIT09vb6+nlPlamBCVp999pnGksxwKRQKtRkuWUerfKwLFy4EBAQA6NevX1ZWFteaWCE/Pz8wMBCApaVlUlKS9gnTRUVFzBxAIBAsXLhw7969y5cvDwkJsXggV1wkEo0bN27ZsmWHDh1qYDcrQBMKhSIzM1NjsZ7hUk0WHadom/Pe2NjIZFcKBILExETtBxTjc+/evcTERObEqFGjRl24cEHLG2UyWXJysrW1NfO+oVdkqKWlJTs7OykpKSIiginDIBQKg4KC4uPj09PTTWQb37S0NO2HS47QYV2hQqFITk5mfmExMTE8DgdqOH369LBhwwBYWFgkJiZ2dHRoeeO1a9fCwsKYv5z4+Hj1M6rW1taTJ08mJydHRETY2Ng8mC0SEBAQHx+fmprKV3bavn37mM41OTmZFwEMOm9ue+zYMeY53N/fv6CggAtN+tHZ2ZmUlMTsiTpy5MjCwkItb1QoFBKJxN7eHoCXl9dPP/2ka7uFhYWMyXrti9ljsoqKCt1/IH3IzMxketMPP/zQOC2qQp9dkysqKkJCQgDY2Nh8/fXXrGvSg0uXLjH7VgqFwoSEBO0Ti0tLS6dOncr4QCwW12nMD1dLV1cXY7LY2FgnJ6deJouLi5NIJGVlZYY0oYbs7Gym+1yyZAlHTWiPnttxPxiJiI+P137EYZ2urq7k5GQrKyvml6fxRWwPTEfFHPXTv3//AwcOsC6sx2S9NufpMRmLT9n5+fnMz2Iir6EMOqQpNTWViUSMHTuWl0hEUVER87aYmRi1tLRoeWNlZWVsbGxPR1VbW8upTplMVlhYmJKSIhaLXR5OAfby8hKLxRKJRM2aTY2cOXOGWRG5YMEC9W8UjIahB2GeP3+eiUS4u7sbMxIhl8tTUlJUPcGpJz093c3NDYCrq+uOR3e94JgHTcbIeNRkRUVF2ld48eJFpp5XXnnFdJ7WDTUWIUQqlTKRCJFIlJSUZISf7fr16+Hh4T0dVZPG5Zj/o6qqipEKIDo6+jZHablaI5PJioqKJBKJWCzudTAMY7KUlJTCwkI1ndCVK1eYrcjmzp1rUllxLBiLPByJiI2N5S4SYcgTXHp6uru7OwBnZ2e+wobquX79OmMyRmcP/fv3V2qykpISLy8vAJGRkaa2EJIdYzFkZGQwfXJgYOClS5dYrJlB7ye4+vr6nuVrM2fOVJ+JZSIwJouLi/P19X3QZJ6enrGxscnJyT///POgQYMAREREtLG1fpk92DQWIaSiooI5+9nGxuabb75hsebU1FRmfurp6anTE9zhw4e1z5YxTXpM5ufn1+Mw5h1oeHi4aeZPs2wsQkh7e3tPjgorkYg7d+48++yzejzB6ZctY+IUFxdLJJL58+czf2bav7AyMuwbi4GtSETPE5yLi4tOa2KzsrKYQUTXbJm+AnMySEpKCt9ClMOVsYjBkYjq6uo5c+Yw/U1UVJT2T3B6Z8v0LZiT/dSc9M4vHBqLEFJXVzdr1iz9IhFXrlyxtbXV9QmuJ1vGxsYmOTm5724vqJHa2lqRSGRtbW0iGYi94NZYxLBIxMGDB7V/gtM7W6bvMnHiRACHDh3iW4gSODcWA9eRCL2zZfo0zHnvb7zxBt9ClGAkYxHOIhFtbW2JiYl6ZMuYAQUFBQAGDhzItxAlGM9YhINIRE+2jEgkSkxMNLXoM9coFIoBAwYA0OndonEwqrEYWIlEPJgtM2TIkLy8PFY19hn+/Oc/wyTXFfNgLGJwJOLB9Q46ZcuYH8zZ21OnTuVbSG/4MRbRNxKhfr3DY4hUKrW0tLS0tJRKpXxreQjejEV0j0TotN7h8YH5f7Jv3z6+hTwEn8Zi0CYSYeB6B/Pmk08+AfDaa6/xLeQh+DcW0RSJYHe9g/lx8eJF5u/NpBI3TMJYhJD29nZm8fiDkQimo2Je43Ox3sFsYNJpTOplg6kYiyE1NZVZmjd27NizZ88ac71Dn4b5m/z444/5FnIf0zIWIaSgoMDf3x8AE6Nyd3fXuLEYhTnLKDQ0lG8h9xEQbY4kNy51dXULFiwIDg6+dOnSV1991bfOLeeFlpYWd3d3mUxWXV3da1EGX5iisSh6EBERcfTo0d27d//pT3/iWwug0yn2FFMmKioKpnQEEO2xzITi4uKgoCAPD4+qqiom5swv/CugsMKIESPmzDnl7HyzoMAkfqcmIYLCCt7ek65dszaRwZAay3yIigIAEzEWnWOZD21tcHdHezsqK8F7iIb2WOaDrS2mTIFCgawsvqVQY5kZpjMa0qHQrCgtRUAAXF1RU4MHtg/nAdpjmRWDB2PYMDQ04MwZnpVQY5kb0dGACYyG1FjmBjPNysjgWQadY5kbnZ1wd0dLC27ehI8PbzJoj2VuWFlh2jQQwvNoSI1lhphC0IEOhWbIrVvw84ODA+7ehZUVPxpoj2WG+PriiSfQ3Iz8fN40UGOZJ7wHHaixzBPegw50jmWeyGTw8IBUiuvXERDAgwDaY5knFhaYMQMAjhzhRwA1ltnCb9CBDoVmS1UVvL1hY4O6Ojx88qsx4DW1gsIlAwbglVfg54eODh6MRXss80QqBSGwsVFiqY4O3LsHa2vY2eHePbS1wc5OufOam9HZCUdHfaKsdI5lngwbBjc3TJiArq7eX23fDjc3vP02AKxYAXd3rF2rvJI5c+Dujp9+0kcANZY5U1SEzz/np2lqLHPG0REffojych6apsYyZ959F62teOMNHpqmxjJn3ngDQ4ciMxMHDhi7aWosc8bKqnuO9eabaGw0atM0jmXmxMQgJgaHD2P1aqxfr7zMjz+iokLJ9eJi/dulxjJ/Nm/G8eP44gvExWHMGCUFLlzAhQssN0qHQvPH3x+JiZDL8eabUBoOX7YMt28r+ScsTP9GaY/1WJCYiO++w+nT+P57Jd86OsLbW8l1Q9KaaY/1WGBtjQ0bAOC999DebowWqbEeFyIj8eKLqKjAli3GaI4a6zHi88/h4ICrV/W5t60NP/6IbduQl6d8otYLaqzHCF9frFqlz41nz2LwYCxZgrQ0REdjxgwl77Z7QY31eLFkCUaN0vmuDRsgFuP6dZw4gX//G7m5SEvTcAvNxzJPysshl2PQIDy6M3dDAxoa4OgIDw80NKCpCS4ucHZWUklNDdra4OEBOzsoFPerGjECM2bgiy/UCaDhBvPE31/lV66ucHVV8u+P4ul5/997XKVQoK4Ovr4aBNChkKIbe/eisRGzZ2soRo1F0YGrV7F4MRIT8Yc/aChJ51gUbblwAbGxiImBRAKBQENh2mNRtGLnToSFIS4OX32l2VWgPRZFGxYvxpYtiInBc891X/H01DDNosaiaCYmBp2dD10ZNgybNqm7hRqLwgl0jkXhBGosCidQY1E4gRqLwgnUWBROoMaicAI1FoUTqLEonECNReEEaiwKJ/w/zHDFZy1eAP0AAADvelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAC4g5gbiBkY2Bw0gzczCDqGZYTSbQwaYZkQIQBTCJTAZ7AxgBiMTNwNjAgNrAgNbBhMjUwIjRwITcwYTM0sCC2sGEyunAht7AjtHBpMIExtQkJWBkZWNgZGDXbwJqJkR7sKFBY37lOZy7QdxJAK19wd5p9mD2Jv27LXT7PgLZntefmmfX3YezL7Wz++wRtDCDsT+wj7LfuqBNLDeVwH79zP+3wBmp+dqH+BKebMPbMNxrgO3XhaB9YaHnLd3eiV6AMQWAwBkpTXECKkoQQAAAVF6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9ksFOA0EIQO/9ivkBJ8AwDBzbbmOM6TbR6tUYTbQHPfn/Edq0U5OJ7G4CzAMGWP34en95+3w9fC8XKeRhuj/8pIvQtHA//POaWXouALDYplDSanN7N6f1frk6e9a7p3n/mBASosf485dd7nfbswfTOt1ApkqKFFplZPGQDEfpsZTmOBcxAvFzNavaBmBxEHJpUNXzZ1NoqAOOvTRmJWkSnBAo0ICrno8yccHKfozNWq0DTo75CEoRjZsaYGkyAFv0jJmNpbbQilLTUWkNkrI0rbVEThZsgAPSTiSKFouaxqo6An0rc3SL1gQjpDAxlQG5mac/qzotb7Wbp7489o/6hsKUvocwWx83O1H6VMO0PjyOgD6iwGufgxs9s0UZ7+SqJ/YQvdhxMe3Jo5Pre4d9/mFdX/wCN4yV90N8XA8AAAD2elRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXc4xbsMwDAXQq3RsAYUQKYqk7KkXKHKF1vBQFJGDxO2Uw5fORmnjf/yEPhbsS++0+EN6ebwiCDaVdCIoTExpRqBciqZThpaxuM0ExAVryoDatNZjyUicvE7Z0pyhaK7mc7OsfsXbIo2yeMlaq6aeEaAYe9LYzPCZiJof9HUW1HxkCNxY/EsIxUjteYwqGdKxVxlZ0lv63LfL+bZdpwz336/rtvysO7yffVz73/dt65e171AnjIyBkSeKTqOX6GV0js6j1+h1dIkuo2t0Hd2iW3SZWvQ29B//O96cYWfOidIAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAbA0lEQVR4nO2de1hU1frHv8MdJMUElFvgFVFTBFMTr4VS50Cnp5osa9SM0GM6UJ4kr+DlUeooIVpHjqZOeazAjkfSUpBMwbyGgoQ+ysWfKIpylTvDzPv7Y48DAl5g9poZdH0e/2Dv2Xu97+z5uva6vOtdEiIChyM2JoZ2gPN4woXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAheWPkhLw7JlTYf/+hd++MFw3ugFM0M78ERw+zayspoOc3NRXW04b/QCr7E4TOA1lp44exazZmn+Pn0aM2YY1Bv2cGHpCQ8PzJ6t+buhwaCu6AUuLD3RvTtGjdL8nZBgUFf0Am9jcZjAayx94O6OF19sOhw5El27Gs4bvcBrLH3QpQtSU3HzpuawtBQ2NgZ1iD28xtIHJSX46SeYmeE//wGAM2fQpYuhfWIMr7H0xJgxyMnBoUOG9kNfcGHpCRMTbNiAefNQV2doV/QCfxXqj9GjMW4c/vlPzeHrr6NPH/zlLxg3DmaP3e/w2H0h4yYqCj4+GDQIpaXYswdEWLcOXbpg0iQEBSEoCE5OhnZRJPirUK/06IFly3DgAOzscPo0IiLg64vqauzbh9mz4eqKESPw6adISwORoX3VEeIwprqa/vyTFi7UHKpUNGMGJSc3XZCfT3FxFBhIVlYEaP45OpJMRvHxVFFxT2klJZSSQmq15vD8eSoq0svXaCdcWMwJCqJXX6Vbtx5+ZU0NJSeTXE5ubk0Ks7Iif3+KiqKLF4mIkpMJoK+/1tzy9tuUkMDQ+Q7DhcWWrVsJIDs7unq1HXep1fTHH7RqFY0aRSYmTSIbMoS++IJGj6beven2bSIjFhZvYzHkyhV8/DEAfPkl3NzacaNEAh8fLF2KEydQVIT4eMhksLNDVhbs7ODoiDlz8MknjLwWB94rZIVajVmzcOcOXn0V06Z1vBx7e0ilkEqhVOLECdTXA0BYGLy9cfSoWM6KD6+xWLFhAw4fhoMD4uLEKdDcHOPGaf62sMCmTQgLg0olTuGiw4XFhIsXsWQJAGzeDEdHJiZeeAEDB+LAASaF6w4Xlvg0NmLGDNTW4v338dprDA1FR8PEWH9ACXX6kTijIzISK1bAwwMZGeLHXSmVqK9HVRWystCrFzw8YGEBCwuRreiOsQq+05Kefm7v3uMmJti+nUk0n7k5bG2RmorJk7FiBWxtjVFV4MISl7q6OpnsnfPnx61a9fPEiQwNWVoC0PQQjRMuLDFZvHhxdnZ2//79P/poElNDXFhPEGlpabGxsWZmZgqFwtraWtzCt25F375Yu1ZzyIX1pFBdXT1z5kyVSrV06dKRI0eKXn5NDfLycOOG5pAL60khNDQ0NzfXx8dn8eLFLMpvoSQurCeCgwcPbtu2zdLSUqFQmJubszDBhfXEUVxcPHPmTCJau3btkCFDGFnhwnqyuHXr1ttvv33z5s0JEyaEhoayM8SF9URQW1ubkJAQFBTk6up67tw5CwuLRYsWmbCcXul0wuJhM+1AqVQmJSXt2rVr79691dXVACwsLKytrYuLiz/++OOTJ0/a2toyMt2lyx0fn0YHhzrAGYClpXLcuBxr6xrAl5FFXTF0pGHn4MyZM3K5vGfPntrn5uvrGxMTU1RUVFVVNXjwYABTp05l58DRo0cBjB07Vjisra0FYGlpyc6ijnBhPYjs7OyIiIj+/ftr9TRo0KCIiIicnJzml126dKlr164ANm3axMiTkydPAnjuueeEQ7VaDUAikai1yyqMjEcS1v79+2tqali7Yjxcv349JibGz89PqycXFxe5XJ6amnq/W3744QcA5ubmaWlpLFzKyMgAMHToUO0ZYVyjvr6ehTndebiwLl++LJFIunXrFhISkpWVpQefDEV5eblCoQgMDDS7uzDZzs5OJpMlJiY2Nja2vr64uLj5odArdHNzuy2scxCVixcvAvD09NSeEdpzd+7cEd2WKDxcWCdOnHjuueeEBy2RSKZMmbJnz542H3Qnpa6uLjExUSaTdbmbAsbS0jIwMFChUFRXV7e+/urVqzExMcOHD/fy8mp+vqGhYezYsQBefPFF0Z9Pfn4+AA8PD+2ZHj16AGAhYlF41DbWmTNnQkJCtI/eyckpPDz8arvWNBkZKpUqNTVVLpc7ODgIX8rExMTPzy8mJqbNX6u4uPjLL7/08/OTSCTC9Y6OjtevX29+TUFBgVDaihUrxPW2sLBQeOzaM87OzgCuXbsmriGxaF/jvbS0NDo6esCAAcKTNTc3f/PNN0vu3/IwZnx9mzrqw4cPX79+fZs/Um1tbWJiolQqtbgbUGdtbS2VShMTExsaGlpfn5KSYmpqamJi8ssvv4jobUlJCYCnn35ae6Z3794AcnNzRbQiIh3sFaampkqlUnNzc++ePcncnAYMoKgoKikR1zl2rF692tHR0cHBQS6Xp6ent75AqM9CQkKeeuopQU+mpqb+/v4KheKhzZqVK1cKIsjPzxfLYaVSGR8fn5SUpD0zcOBAANnZ2WKZEBedhhuuXbuWHh1NTk6ahbq2tjR7Np07J5Zz7JDJZAAUCkXrj7KyssLDw3v16tViyOrmzZuPWLhKpXr55ZcBjBw5kl2vbdiwYQDOnj3LqHwdEWMcq7GREhPJ358kEo3CfH0pLo6aj1AUFVFSEv36K5WXi2BRZ4KDgwFs2bJFeyY/P7/FkNXAgQNXrlzZsXdNaWmp8KqaP3++eF43UV5e3qdPHwApKSksytcdUQdIs7NJLqdu3TTycnCg8HAqLaUtW+iZZyg0lGbPJmdnOnBATKMd4sMPP2wxnvnNN98IenJ2dn7wkNUjcurUKUtLSwDffPONjkVpadGB7dmzp6ur66+//ipW+SLCYOS9tpYUCho+nADq1o1yc8nRkQoKNJ/+/ju5u1Ndnfh228PHH38MYP369dozlZWVwcHBhw4dEnGk4KuvvgJga2v7559/6lKOSqU6cuRISEhI9+7dm3dghWaWiYlJWFiYsY1gs5zSOX6cvv2WEhIoKOie815eZOiWwaJFiwCsWbOGtaEZM2YIA5sVLfJcPRpZWVkRERHCW6/5nFJeXh4RKZXKqKgoobvq5eV16tQpsd3vOOznCjdtovfeu+fM+PEGfxtGRkYCiIiIYG2oY1PUBQUFMTExzQdE3Nzc7teBzczMFBryZmZm4eHhRjLJw15Ye/fS5Mn3nPHwIN1eDbqzdu1aAJ9++qkebD36FHVZWZlCofD399eGdnXv3l0mkyUnJz94srm2tjY8PNzU1FSYTzxnBB1z9sK6c4ecnEj7X233bvL2JpWKud0HEh0dDeCjjz7SjzntFPWxY8daf9p6DNbKyiowMDA+Pr5d1c+RI0eErqiVlVVs7DbDPmO9hM388gu5u9Pf/kYBATRggDEMdH355ZcA5s6dqzeLcrm8xRS1dgy2692l+EKTPC4ursNTy9XV1XK5XCKRjB5dMGYMXb4s3hdoJ/qKx1Kp6MIFSk2lK1f0ZPGBbN26FcD777+vN4vNp6gzMzPDw8OdmqXeHjRoUFRU1I0bN0SxdfBgljBo/dRT1GyoTq/oMdBv82YCaNYs/Vm8P7t21dvZlc6aVcXUSosXWUFBQY8ePbRz2AAGDBgQGRl56dIl0U2XldG772rGEwMCSP9T1XoUVlISATRhgv4s3p/4eAJIKmVo4tq1ay4uLjExMdp2t1qt9vHxsbW1FYLbUlNTWcd/xsdTjx6a7LrffsvUVEv0KKzcXALIzU1/Fu/P3r0E0CuvsCpfrVa/9NJLAF5pZiM2NhaAg4NDYWEhK8OtuHmTgoI0VZdUSvfGJjJEj8JSKsncnExMDD7sTkQHDmjeEYzYuHEjAHt7e+3UdU5OjhDzuXv3blZW74NaTZs3k60tAeTiQnv2UHg4aaP2Dx+mpCSKj6cTJ5pu+ewzXfcl0O9iij59CNBkwjcohw8TQBMnMilcq6GEuynYlUrlqFGjAAhrpg1Cfj5NmEAARUaSuXnT2OKaNRQRQe+/f08z39OTLlzQyZx+F6wKUxN5eXo12hbsFnyq1eqZM2dWVVVNnz79jTfeEE5GRUWdPHnSxcVFGD8zCB4eSEnBN99oNu2xsMB33zE0p98Fq0+AsNauXZuWliY024Uz586dW7VqlUQi+frrr7WzyAbB1BQyGW7dAoDoaEyejJdfbvr08OGmB1Jerqst/dZYvXsDQH6+Xo22BSNhZWRkrFy5UiKRbN26VdBQfX39jBkzGhoa5s+fHxAQILI9HRgwAO++i6VLm85IJE3/dIfXWKJRX18/ffp0QUNClxDAsmXLMjMzPT0912qz8RkNS5Zg2DCMHo2+fQFg4kQEB2s+io3VtXDexhKN5cuXZ2Zm9u3bd82aNcKZ33//PTo6WkgeaWN8+9bb2GD9euzaxaRwvdZY6r59L4wfn2Np+Td9Wm0LKyt07467675E4Pfff1+/fr2ZmdnOnTuFLqE2eeSyZcuELqGRYGYGbRqvV17BrFlwcoJEgqefbrrG0xNWVrqZ0alP2X7s7OwA3HqU3fuYsWsXaaN5hcBpHamqqhKC5ZcsWaI9OXv2bADe3t5GEiDVgm3baMkShuFL+haWj48PgBPNB+P0zsSJ5Oio2e/v8mW6dz1zR5gzZ04LDSUlJUkkEktLy8zMTF1LZ8Nf/kIA7dvHqnx9J14TomzzDN3MCgjAwoXiFJWcnBwXFyckIBUCqsrLy4W4idWrVz/77LPimBGb4mIAsLdnVf4TKqy//x2nTomw359WQytXrhw6dOjdwv9eUFDg5+f30Ucf6WqAGY+bsIQQx3xDD2WZmWHjRsydi8ZGADh+HKtXIz293XvHh4WFCRpasGCBcGbPnj3ff/99ly5dduzYIcQKGyeshaXvNtbBgwcBTJo0Sc92mzNxIgnrWd55h+Ry8vKiDz98yN7x9yMzM9PPz0+bh62wsFBIAhMXF8fMfRGoryeJhMzNiV3Yjr6FdfnyZQDu7u56tktEjY20aBElJjYJ68YNsrcnLy9KSaGQEHJ1vWfv+IAA2riR8vLaYeKvf/0rgMmTJxttoj2BwkICqFcvhib0LayGhgYhGUudfoNnbt6kSZM0y7NffrlpbcemTTRqVNNlZ8/S6tU0evQ9e8cPGkRRUSm//fabUql8gIl///vfAOzs7Aq0q3ONlcxMAmjIEIYmDJCD1MPDAwCLeNz7kZpKzs4aVR069Ei3FBdTfDzJZGRnRwA9++wYAF26dAkMDIyLi2sdqZeXlyfkpfn+++/F/wJi8+uvDKOGBPQtrPr6+n79+gGYM2dOWVmZHizGxZG5OQE0fjx1IHJTqaTDh2nhwnBhPbuAqanpmDFj1qxZI6zgU6lUEyZMAPDaa6+J/wUYIERmv/EGQxN6FdahQ4eEn0eY9LCyspJKpW0utROFO3dIKiWAJBKSy6mtNGntIycnZ8OGDVOmTBGyfQi4ubk9//zzAJycnIr1FvmrG199RQDNmcPQhJ6Ede3atalTpwq/hEQimTVrlr+/v3a9yqhRoxQKRW1trYgWs7Np0CACqGtXuhvIKRrV1dXJyclyudzV1RWAmZmZm5vb/v37RTbDjHXrtvj6Bvzznz+wM8FcWEqlMiYmRrsmUyKRbNy4Ufjo8uXL4eHhQv8cgLB2RcfELALffVdkY0MAeXvTvSnZRUatVp85c2b79u167ovoiJDg+YsvvmBngq2wjhw50nxOw9TUdNu2bS2uqauri4+P1yZVNzEx8ff3j4+Pf3AX7H7U1dXJ5XJ7e8deva7JZNRW1mMOvfPOOwC+ZbkijJWwbty4IZPJmi/ONDU1fXAKshaJmZ2dncPDw9vVdc/LyxMytFhbW+/cyWx+tfMjxCH+/PPP7EyILyylUhkeHm5vb998S0gLC4v//ve/j3J7eXl5XFyckPpHuFEqlT403QoR7du37+mnnxZGX40qU5QRMmLECABMn5LIwjp16tTEiROdnJycnJwcHR2FdDxWVlbtbdiq1erk5GSpVKrdJMLT0zMqKqq0tLT1xY2NjREREYKtoKCgNq/hNEcYSsxr16xCOxFNWGVlZUuXLnVxcXFqRvfu3W1sbA494qBkWxQWFkZFRbm5uQnysrW1DQkJaZ4q+NatW5MnTxZetRERESpDJ0jqFOhhuxQRhKVSqeLj4wcPHuzUFkePHtXdRGNjY2JiYvMRCl9f37i4uEOHDgkbNDg4OCQnJ+tu6LFHpVJVVFQIbQymhnQVVnp6ekBAQJuS8vT0/OOPP0TxUsuff/45b968bt26CfKytrYGMGLECIVCYeTzvganoaFBoVAMHDhwyZIlQt+IqTkJtTcE6S4VFRXr1q3bsWOHSqVq/Wm3bt127do1fPjwjhX+ACorKz/77LP09PQbN25MnTq1rKxs+/btt2/fvn79ulB7cVpQW1u7devWdevWXb16FcCwYcMyMjKGDh0qbFXHio7psa6u7n7vPicnp2effZbdVhw1NTUSicTCwkKbN1tYA6N7ZvbHj8rKypiYGO3/t8GDBysUCiEkrnfv3m3ubSYWHYwg3bBhQ2lpaZsfOTo6JiQkeHl5dazkh2Jtbd2rV6+Ghobr168LZ4wk3NmoKCkpiYyMdHd3DwsLKyws9Pb2VigUGRkZ06dPnzJlSnBwcH5+vre39/Hjxxk58BBhVVZWzp49Ozs7u66ubu3atcuWLcvIyFiwYMGlS5ea7w6ixcXF5X//+5+npycbbzW0UBIX1j0UFqauWePu7r5ixYrS0tIJEyYcPHjw7Nmz06dP14ZKz5gxw9PT8/Lly2PHjg0NDa1nkMTiIcKKjo52d3cvLy/fvn37+PHjV61aNWzYsIULF9rY2Lz99ttCALsWJyen3bt3C2MkTGmhJCOJozc8V64gNBT9+o3ZtEmiVPr5+aWkpPz2229TpkzRXlJUVPTpp58GBAQ0NjYuX75cIpHExsaOGDHi7Nmz4vryIGH98ccfDg4O7u7uADIyMg4fPjxv3rxTp05dvHhx8eLF3bt337Jli9XdBbMODg779+8XLmaNICytkniNhexsTJ+O/v0RG4v6etNx4y6dPp2WlvbCCy9oL8nJyfnggw+eeeaZzz77rLa2dvDgwXK5/NixYwMGDMjKyho1alRkZGSb/bAO8oD210svvRQZGTlt2rTly5eHhYVVVFTcvn27RW70hISEoUOHDhky5NF3XdOdHTt2AJg2bZpweOXKFbDvPxsp586RTEampgSQuTnJZNSq23T+/HmZTCbMYZiYmAQGBp45c0b7aVVV1dy5c4UBwjFjxuSIFA3y8F7hzp07jx07lpaWFhYWtmDBgoMHD4piWBeOHj0KYPTo0cJhY2OjhYWFRCJh2s0xOlJTKTBQs5WfpSXJZK3Tuqenp0ulUkE0FhYWMpns4n3SKSYnJ7u5uTk4OPj6+m7atEn3CYyHC6uyslIIwauoqOjYTkOic+3aNQCOjo7aM0JPQpRYrs7B1auaWuqpp2jhQmr9ukhJqXjrLROJBICNjU1oaOhD40TKysqWL18uDBi99dZbOmbgNcBiCt1Rq9XCmLt2tkvIafbTTz8Z1jG2lJbSzz/Tzp10/jwR0bx5tGIFtZ5xT06m558XFhitnzRp8eLF7UrBsm/fPmGE0tPTU5eArU4pLCISxskyMjKEw6Tly49PmHB961bDesWQU6fIyYlCQ2n1aho+nFpv1qJSUWIi+fpq1qzZ21NERBuyewRu37793nvvCVVXcHBwSYe2+u6swioKDm5wc2vcs0dz/PnnBFBYmEGdYsnIkaQNaKuro759KS1Nc9jQQAoFeXpqJNWzJ0VF6R47m5iYOHDgQGEe5UD7twHsrMKi+fMJIO0Wqbt3s90RwLBUVpKV1T3r4T/5hFatIrWaNmwgNzeNpPr1oy1bSLx0XAUFBa+//rpQdf3444/tulffSUFEo0WeXKNJQsmEkhJ063ZP0tkePXD7NiQS/PQTCgowZAgUCly4gOBg3N2bTndcXV0TEhI+//xzLy+vgIAAYYC+oaEhNzd38+bNSqXyAffqN7mtiLRQkpCfNS8PROJk/TUqnJ1RVoaqKtjaas7k5kKYjV2zBvPnIyiI0beWSCTvvvvu66+/Pnfu3H79+lVXV48bN+7o0aM3bty4c+fOwvsnGeu0NVYLYXXtih49UFODoiIDOsUKc3O8+Sa0eZdzcpCYCKkUAJ57Dq+8wvr/UkNDQ2NjY2hoaHFx8QsvvKBSqTw8PLTbI7RJp62x+vaFRIL8fKjVEDa67dMHJSXIy0OvXoZ2jgHr12PaNHh7w94eV64gNhaurnozbmVlZWtr+49//MPV1dXMzOyDDz7o2rVr8+Xgrem0wrKxgaMjiopQWKh5xH364PRp5OVhzBhDO8cAR0ccOoSaGlRUoNkOmvrh9OnTI0eOfO+99+bOnVtTU9NmYEsLOu2rEK3eho93+13Axkb/qgLg7e2dmZm5YsWKPn36CEl1HkqnrbEA9OmD48eRl4fx4zWHeNyFZSBsbW2/+OKLdt3S+WusJ2TEobPRyWssZ2fcXdGKESOQmopHeP1z9EDHV+kYCzdvIioKZ8/C1hb+/pDLYcS5ip8cOvOrEEBjI6ZMgZMTfvwRMTFISrpnozSO4ejkNdaePYiNxeHDmsOiIvTvj6IiWFsb1C1OZ6+xLlyAj0/TYc+ecHAwho02OZ1cWKamaBH/r1SiWfokjqHo5MIaNgzNl1z+3/+huhrs159xHkonF1ZAAMzM8MknuHQJJ09i2jQsWsRrLGOgkzfeAVRUYONGpKfD1hYvvYRp0wztEAd4HITFMUo6+auQY6xwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjw/wP6C5H8b47GAAABkHpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAhIBYG4gZGdgcNIM3MzO5gAaIZmdkgAixwCYYMEM3EyMYAkeCA0EwwhQgarJCZEcFA18FgAqSZGFnYGBKADEZmDgYFkACDgQYjiM8BJCRBhGNJfq5faU6OhgyDNkxSD5skNwNnAgNXAgO3AiNzAiN7AhNzBhMTiwITRwILqwIrmwYTO0cCO1cGEwdnBhM3jwYTNy8DLz8DHz8DqwADryALowgTKwMnBzsXKyMzEwe7+COQRfAwOhPevH/v7Qn7QJyrd2fY9xraOoDYcSraDuvUWuxBbL9mDQd5LiWw+LugKofXe23sQOzEF0UOCVeX7wexXf1lHHo2/wKzJ1pvtPvNeges93X8QvuV69jB7BfOl+2mc5uC1byd2bF/4bbZYHHLw7wHvrnPBIu/lmU8cOWs9gEQ+3Z92oGpXApg8Wcflh4QnrgdrF5LtfjA+TkxYHYl90IHDSMusPrp3jMPBIodBasXAwBqpF+aSnAIYQAAAfx6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VD1vWzEM3P0rNBewoJNIShwy+CMNisI2UDtdi6BLs2QK+vtLvtaRDAt9zwZE6o6kyNPLv+vLj5+/Xl7ftqvgz7f919f38PHk/cr86T8/VQ3fS0ppdQi+CNvHpy/HsLtstlfP7vR8vJwDWoAax95b7OZyOlw9CMewRkxZgBrWKeaWNUtIMS1P52ZDIkIpVzOisoB0githZ9tSKSkbIZVM5r3HkcUzXCkJZAsuaNImODZciQoUZNtGI0NOcGJ5S6zKVIofqQDQWYE1nCwfUS6lOVC5SaIJsFnEFAsJ2FoZK5pa6HucGg4xS7Iz2zb7dGaJkZaAhCx56XVNNafZWQBD+likQqsHh7A5J8jsyGwATgTnGIHn6Ysd3KAJlRi+kkZUpvnJo5YoCczkpUpmyLQAdijbXFhYrFQqBHNOkOL5fUQK8j42QZ2O3JT4KbBLRzh5oWAtN8cPh835/NA+CM0Ia7LQiWr1LnDRSnTHILlSHo/7m4vw92psT8d9vxpkfwwXYLHRhQ5/cxc0Oabr1s3W5UnGoC5CmMldar6rXVEwvgzCyRagDvIgo+ggArd7aTZq8iDjQLPDUIa5YfHQMB84EDLMAQtQhkbDKkEvRf+R7LJ8fnrA2N6xmW5fv1G2Xv0Bqm/yDvVvlGwAAAGselRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicZZGxbhsxEER/JaVkUARnubskTwjgQEjgKhaQwI2gQjlcEcS6MxwllT8+S7kRme44b5a3Mzzku+Nu9fFx/XXEfJgfjiON8+qqHHb39w/H1YH17rh+3K3HEfThbSU+RFJxG/KQEuG20aciHN0GPgLktuSZKXIVimStjgKYNXhkjsjVoolDcai32WwVYgxw5MUMyW3hUZiSCUUU4rbBR7aPbDMJudiM3R80kQkEFbwLpLbCJnjKVMj+bXsSJFy3QUlXG/mAxNcMmpnZpOg1QKROKgm02tiCBc51UmJJ77ZUCtiSZEVSS7IRCyWqtgVHBuqiDFJb3e5KIVHINQ1pSHVOYggWfO1Ol+W8f11ehuDPy/P35fJ0ep7mcfIw5fefHy/L+Gu6+G+f7TjNf3++LvN5mi9+Pg244Z/2drzlOlCLqcOxxbHBMnCLucF5kBZLh7XF2uHU4tTh3OLc4dLi0mGErpfQG/ri0Bu66kC9If73WLjt88u+nvvn6ipF22kc0JUK6Q1dreh7RVcsumbf/gEVXybPuH22NwAAAABJRU5ErkJggg==\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
        "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "  subpocket                            smiles  \\\n",
-       "0        AP                 Nc1c[nH]c2ncccc12   \n",
-       "1        AP  N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1   \n",
-       "2        AP                    Cc1cc(N)[nH]n1   \n",
-       "3        AP                     Nc1ncc(C=O)s1   \n",
-       "4        AP     COCC(=O)n1cc2[nH]nc(NC=O)c2c1   \n",
-       "\n",
-       "                                               ROMol  \\\n",
-       "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "\n",
-       "                                         ROMol_dummy  \\\n",
-       "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "\n",
-       "                                      ROMol_original kinase family  group  \\\n",
-       "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
-       "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "\n",
-       "  complex_pdb ligand_pdb alt chain  \\\n",
-       "0        5l4q        LKB   B     A   \n",
-       "1        5te0        XIN         A   \n",
-       "2        2f4j        VX6         A   \n",
-       "3        2gqg        1N1   B     A   \n",
-       "4        2v7a        627         B   \n",
-       "\n",
-       "                                     atom_subpockets  \\\n",
-       "0  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...   \n",
-       "1  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
-       "2          AP AP AP AP AP AP AP AP AP AP AP AP AP SE   \n",
-       "3                AP AP AP AP AP AP AP AP AP AP GA SE   \n",
-       "4  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
-       "\n",
-       "                                   atom_environments  \\\n",
-       "0   16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na   \n",
-       "1  7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...   \n",
-       "2                5 5 14 14 14 14 14 14 14 8 8 8 8 na   \n",
-       "3                    14 14 14 6 5 5 14 14 14 6 na na   \n",
-       "4  8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...   \n",
-       "\n",
-       "                                      smiles_dummy  fragment_count  \\\n",
-       "0                    [11*]c1cnc2[nH]cc(N[27*])c2c1               3   \n",
-       "1     [12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1               3   \n",
-       "2                              [22*]Nc1cc(C)n[nH]1               9   \n",
-       "3                        [15*]Nc1ncc(C([41*])=O)s1              17   \n",
-       "4  [8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12               3   \n",
-       "\n",
-       "  connections connections_name  \n",
-       "0    [FP, SE]   [AP=FP, AP=SE]  \n",
-       "1    [SE, GA]   [AP=SE, AP=GA]  \n",
-       "2        [SE]          [AP=SE]  \n",
-       "3    [GA, SE]   [AP=GA, AP=SE]  \n",
-       "4    [SE, FP]   [AP=SE, AP=FP]  "
+       "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 83,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "fragment_library[\"AP\"].head()\n",
+    "HTML(fragment_library[\"AP\"].head().to_html(notebook=True))\n",
     "# NBVAL_CHECK_OUTPUT"
    ]
   },
@@ -446,7 +386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 32,
    "id": "8c710616-304e-4696-97f5-3d4792f7f885",
    "metadata": {},
    "outputs": [],
@@ -495,7 +435,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 33,
    "id": "e19dad22-c75e-4c4d-8ac7-26438445a28d",
    "metadata": {},
    "outputs": [
@@ -545,7 +485,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 34,
    "id": "a31c893f-f85d-455a-9fe3-9c01f81050f1",
    "metadata": {},
    "outputs": [],
@@ -563,7 +503,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 35,
    "id": "493c4061-4a42-47b2-8e80-dc831baa97a7",
    "metadata": {},
    "outputs": [
@@ -614,15 +554,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -636,9 +576,9 @@
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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AyoqEEUhZ2dE70PTCGHpD9c0NzdPnjwZAJydndl/cuzbtw8AJk6cyPJ9zefu3bsURTk7O3M1Gm7fnvnii8cXLqR5FmGosPSHa2pqasaOHQsAbm5uXeabMxO5XD5x4sQ+ffqo72e6d+8eVjznSV1NICQkBAC48sDhVCg0Zh/BGCQs/eGa+/fv4+22Pj4+169fp9c+nQwZMgSeFpJQgV3/JSUlLBhALxs2bACA119/nf1bV1dX29jY2Nra0r7u6VpY+sM1paWlfn5+ABAQEGBIkJgW5s+fDwDJycnqjTijxo4dO9ixgUbKysooinJ0dGQ/WWhaWhoARERE0N5zFwUE8CG48vLycePG/fLLL+qHfQGgsLAwLCystLQ0JCTk9OnT6tuqGAUPyho1layrAoA63t7eISEhEonkyJEjLN/6hx9+AABclYNm9IiOk3CNIRQXFwOAt7e3eiPWWVBQEJuW0MXGjRsBYNasWWzeVCKRODk5URRVzkC6mU6F9fPPP+Nwzbx587gK13SGUqnEpYjUfyOtra329vY8Ho/ljci0wMloiB9XoaGhTHTe6VBYUVHRo0eP6OjoHTt2qA7YYHbu3DljxozW1tbY2Nhvv/1Wdf6JNSiKwisp9YFPIBCMGDFCqVReuHCBZXvMx9vbe8yYMRKJ5Oeff2btpgyOg3rqFR48eLC6ujoiIkJ1MhNTW1sbHx8vl8s//vhjVbiQfXTOqFRlBzkxyUzw4gM75FhAoVBkZWUB+8Lq7EMSiURZWVnbt2//97//zYRBBvIHm78DwMyZMymKOnz4cHNzMwu3O3Xq1OPHjwMDA7EjiX46GyOPHTsGACEhIUwMwOZTV1fH4/EEAsEfxk2KnkY82YmGLVmyBABWrlzJUP+dPrFCQkL4fP6lS5daWloYUbR5uLi4+Pv7S6XSX3/9VdXo6enp5eVVV1d38+ZNDm0zGdZGQ4TQjz/+CACvvfYaQ7foVFhCoXDIkCEymcxSCitqoWc0tN5pFo/Hy8rKampqMr+3xsbGWi0qKytv376dmZlZVlbWr18/9fN29KKvJnRYWNiVK1fy8vL+9Kc/MXR7cwgLC9uxY4f2/H3fvn15eXnz5s3jyjCT8fLyGjlyZEFBwfDhw5GusufNzc1tbW0ajXK5vLGx0dh7OTs7BwcHa6zMaESfsEJDQ1NTUy32r/+PN39XKpX19fW9evXCh8PMRCgUaviJAMDOzs7Jyam1tfXhw4f5+flNTU3quUxohNL5l4G5ceOGv7+/p6cnnhRbGgihnj171tbWVlRUqGJNUqnUxcVFJpPV1NS4uLhwa6Gx7NixY/78+X379t2/fz8uF6WBo6MjrluhDp/PVz8YZwgIobCwsPPnz8fHx+PNwPSjZ2KvVCrxQau7d+8ytHYwE3yMQmPLIXaU5OTkcGWVaTQ2NuLKqHtYqaJUUFDA4/Hs7OwY2pCiz72p08FtUegc+Kx0/p6UlPTgwYPQ0NBZs2axcLvg4OC//e1vbW1tqiqb9NKF39zCPySd5lmj/72ioiI5OZmiqI0bNzI3odYgMTHR1dU1Ozv78OHDtHeub44FAMeOHXv55ZfHjBljmQ+turq6nj172tra1tfXqyYf5eXl/fv3d3V1rampYe1DMpPZs2fv2bNn9uzZuHywOm1tbc3NzY2NjXK5XOMlmUym0zGh8+LAwED19M+YTZs2vfPOO35+fkVFRXhXAW3oHykbGhr4fL6dnZ3l5K7QIDAwEADOnz+v3ujl5QUA7GxnNZ9z585RFGVvb3/nzh3tV3fv3k3LB61zC6RMJnvuuecAYO3atfT+UPrcDQAgFAoDAwOvXr168eJFy/RmhYaGlpSU5OXl4emgqnH//v15eXlMBcLoAyG0fPly/K+Pj4/2Bfb29iKRSKfvwMbGRj3vpgqdF+OVgXYPycnJ4eHha9eunTNnjk4DTKRL6cXExADAJ598Qq+i6WL79u2gtWEc75vrLFOjRYEfSO7u7vX19VzZMGPGDO3foZl0Layvv/4aAGbMmEHjXWmkqKgIAHx8fNQbz5w5AwBD6UoixhgtLS2+vr7A9Vb9srIyXC/jxIkTdPXZtbCuXbsGAJ6ennTdkl4UCsX69es1fiOtra0CgYDH43H4GDAEnOV22LBhnFfU+eijjwAAR4dp6bBrYSmVyp49ewIAa4dwaGHMmDEAcOzYMa4N6ZTKykrsMc/OzubaFtTa2jpo0CAA2LJlCy0ddr3/U+UmtS7PkIV74ABg5cqVDQ0NU6dOffnll7m2BQQCAT7euGrVqkePHpnfoUEbi60xsiuTyYyNoLHJ5cuXd+7caWtri3M3WAJTp06dNGlSbW3t+++/T0N3hjzWcnJygLHjHEyQkpJCURRFURfpSqlJN/gp9Y9//INrQzpw8+ZNPDfV8AuagEHCwm5SgUBgsW5SdVS5u9avX8+1LbrBuzdFItHjx4+5tkUTnIUqLCzMzGTmhiYFCQoKAoCzZ8+aczOmsYrcyW1tbTh16ubNm7m2RQcNDQ048pOWlmZOP4YKa8GCBWDBblJkXqlLNklOTgaAwYMHs3/Q10C++eYbAHB3dzfn6K+hwvrqq68AICoqyuQ7MYp6qctcjUJVlkRNTQ323VhgIUwVSqUSV63GsSbTMFRYluwmZajUJRPgzU8TJkzg2pAuuHjxIp/Pt7GxuXr1qmk9GCospVLp5uYGHdMlqLh79y5XiWVZKHVJF9evX7e1teXz+VeuXOHalq7BMeLw8HDT3m5EqsiJEycCQEZGhvZLc+fOVZVSYiJ1SWcUFxfjHTLslLo0k8jISLCS0DhCqLq6Go/apqWhN0JYq1evBoBly5ZpvxQVFaVKDYI99YmJifpLI5sPh6UuTeD48eMAIBQKHzx4wLUthvLZZ58BQP/+/Zubm419rxHCys7Oxh4Ona+yXJk3JycHn1uyzFKXGigUClySKSkpiWtbjEAul+MkoKtXrzb2vUYIq76+HrtJ9VfJbmlpycnJiYuLUz/A1Lt3b7FYnJmZKZVKjTVRG6sodanOtm3bAMDX19cqPMzq/PLLLxRFOTg4/P7770a90bg879hNum/fPkMuxpV54+PjcdgcY35l3i1btlhFqUsVDQ0NePcmy7nv6eKNN94A40sVGSesdevW4dP+xo5x2pV57e3tcWVeo+Yclh+u0WbFihW0BEm4oqKiAs86jhw5Yvi7jC55smLFCpymEePj47N06dITJ04YuFXt5s2b69evDwsLU6/MO378+E2bNunflGcV4RptysrKHB0dKYoyP6zLIbjQcGBgoOHRAlOKNKmqz+OlPsbNzU0sFmdkZDQ2NhrSyaNHj3BlXnxsS3+qcWsJ12iDT59aSLVLk2ltbfX19bWxsTl+/LiBbzG3ECYe4/AZLIyq+nxlZaUhPdTV1e3evXvNmjWdXWAt4RptlEplbGysvb19aWkp17YYSmfpFIYPH+7q6nrmzBkD+6Gt2Liq+rzqjCgtLlMrCtfoBJ/a054RNjU1rVy50tKevrdu3RIIBLNmzdJIiYhzwfXu3dtwfyFtwlKhp/p8cXGxUV1ZUbimM/AeSaFQqBEYwEF903yPzIET/EV3rFwolUrxut6oOoH0C0uFmS5T6wrX6GHq1KkAIBaL1RsVCgWuVPjBBx9wZZgGJ0+eBABnZ+f79++rt+PN0wEBAUa5DBkUloqWlpbMzMyYmBh3d3cDXabWFa7Rz927d/HC8NSpU+rtZ8+epShKIBBo171iH4VCMWrUKAD4+OOP1durqqpwmjGjfA2IHWGpMNBlal3hGkP44IMPAGDEiBEaTpm5c+cCwLRp07gyTAUemr28vDSG5kWLFgHA5MmTje2QVWGpUCqVBQUF77//Pi4Qp1pOTp06deHChdYVrjEEiUSCTzxrTFMePnyInwdZWVlc2YYQam5uxgW20tPT1dtLSkpsbGxsbGyKioqM7ZMbYalz+/btlJSUl156CeexwCOgtYRrDAcvrNzc3B49eqTejmcwgwYN0h+BZRT8QB0zZozG7xxvlFq8eLEJfXIvLBX379/funXrV199dfLkSa5tYQRc+Pjtt99Wb5RKpf7+/gCwYcMGTqyqqKjAiRs0fIS4IIqrq6vGX4KBWJCw/vAUFxfjHaQaDrnOXBLsMGfOHNCqaCeXy/GGA5OPzxBhscrSpUsBYOzYsRqDjk6XBAsUFhbyeDx7e3uNXTGff/459g2ZPEATYbFKfX093kKjMU0uLS21t7enKOr06dNs2vP8888DwHvvvadhJHYMHThwwOSeibDYZseOHThCpbGbA1dT03ZJMMfevXsBoE+fPhqWLF++HHsQzemcCIttFAoFTrG0YsUK9XaVSyI1NZUFM6RSKa4Sv23bNvX20tJSnL4hPz/fnP6JsDigs+T9GRkZ2CXBQk6HxMREHMPVcBb+5S9/AYB58+aZ2T8RFjdER0cDQEREhEY73iAUGxvL6N0rKyuxY/bo0aPq7WfOnKEoytnZ2fz1KREWN1RWVrq6ugLAoUOH1NtVLolff/2Vubvjw6hTpkxRb1SFCz/66CPzb0GExRkpKSkA4Ofnp3F0Bx/D13ZJ0EVxcbHOQA3OYtyvX7+mpibz70KExRkymWzo0KGglby/vr4en5zbvXs3E/fFo21cXJx6o0QiweHCXbt20XIXIiwu+d///gcAjo6OGjUpvvzyS/zwMPAAgeHgsjnaOd9WrVoFACNHjqSrnDYRFsfoTN6vcklouC7NRCaT4e0kycnJ6u2qcCGN7lkiLI7pLHn/uXPneDyer68vjbseysvLR44cOWjQII3NlWKxGABmzpxJ140QEZYl0Fny/r1795p8XrwzFAqFRr7+ixcvYqfarVu3aLwRERb30J683yhwuFAjDGA+RFgWwcGDB/Gcuqqqis37Yl9/nz59aD9YQIRlKUyaNAkAFixYwNodpVLpwIEDGYpOEmFZCr/99htdyfsNZN26dTrDhbRAhGVB/POf/wSAUaNG0eVM0oPqXJdGuJAuuqgJTWCTxsZGf3//+/fvb9iwAe8yUKe5ubmtrU2jUalU1tfXa3clkUikUqmei7/77rsTJ0688sorTFQahy6LjRNYZteuXW+++Safz9euFk4vTk5OHh4ehw4dCggIYKJ/IizLAiF05cqVOXPmtLS0aLzk6OiIUz6pw+Px8IhmyMUUReEtFQDg4ODw6aefqrKU0Q4RFoERmBIsoZtDhEVgBCIsAiMQYREYgQiLwAhEWARGIMIiMAIRFoERiLAIjECERWAEIiwCIxBhERiBCIvACERYBEYgwiIwAhEWgRGIsAiMQIRFYAQiLAIjEGERGIEIi8AIRFgERiDCIjDC/wMxcbPP5aLR0QAAAXJ6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAISAWAeIGRjYGDSDNzMLmAKUZ0GiYuEMGiGZmxCJAmMHOAGYwMhFWw8TIAbGaiZuBUYWZgUmLiYmJmYeBWYWFkSWDiZE1gYlNhZmJR4WFWUCBWVCDiYU9gUVAgZUjg4mNN4GNP4OJnTODiYMzgYsvg4mLP4GbN4OJmy9BhJmVmYGRRYCNlYOTnYWRjYufjZebT/wR0CZGeKicvmtqf3B/nz2Ic+jxdPto17n7QOxXiRb7vYpPgMXnOHy1f1fL4ABiP/+g7fAxZxpYzZSGp3ZTC8/tB7Ezd77cfyWbF6xefl2MQzzrabD4lFuz7O+8tTwAYgfk6DqcF4Kwba6qHUio+AZWkzej+4DpN809IHb0idb9Up8cwXYtygk4UJLZADZzqlHjgWtH9oDVMysd2M9Qlglmrznl4TC/ZSJYTWPXZ/svNQlgvWIAr4RhqD+CbNsAAAHlelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfVTLjhQxDLzPV+QHuuW3k+M8Vgih7ZFg4IoQQmIvnPb/hd3DkKyISM+hbZft2FU9+voDvn7/+e3l1/FQ8ny8fHh5LX8PXQ7hh//8WmvlCwPA4bnkSzk9vXu/lfPteHp4ztfP2+1TwVoIyv68xR5v1+eHB8u5wOoIglZwRVQiDw/sp2dS4CJczbiWBVYGR4cJkAMYcScgkUhRM4ib/AuUvWJDA5ZCEXarNsFp4GiNmHrLytS4wqyz7aOIVBIvC66GVAUnQM8r4lpJm2dclWQ6dA0gZ0WkvaJWQ5hVbPssBM2bloXWBorCEyDCPo0Hki2RtaH7FJnMBMDA3DS7N1KVNoMmOYusbMTquSNAYJcZlMuWtUA0+sZwwCBAM2Tys/BKQWCaAWCaEol6b58tSbK6uLjOFop2X73mBXcdNcQ2h3rclFdkZ8/2yCGBGe1xp2sKCchMIkNDSFM2n7bLG+nfP4bTdbv0jyEf6pqnMLkrO6PS9RuyLdplmqZ1MUZm8S65NJG7sqJSzNgFRGnXQScSJeugBgy7J2DirbSBWMkuMvC3O2ygSbLvSIZEYxxXLnsnHXZ79/QqLT00NCL449Fx0eNa0378P8X74TeGde/ndN6EAwAAAXF6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxlkMFOXDEMRX+FJSOF4Gs7dsKoi4o95QPY0KdZVGhmEAys+Pg6dBX3LV6Ue2InPg+399c/7vEU/1+7h403bPHx7t+64err+gaVtKEXqSSkZX9D1ZlYtaA2M+KyjwSksEiAxlL2qANGUrgSuY3vgNgsurQI4oRUiIvPErFuZc81ltZL9OchfZagm+kMhBw+71HtrF7iUQbuOg8xjSji6N+gs43TcJ1JH3CfN0UVZBa1bogJUDu34YVqa6zs31GjmGFeNoDRZhYvInObhYNbaxFpSHDlGalrsBmJsdisjA4x0wylcriRmI5ImMuuPF/Ox8e38+sd1feP36/n7eVwqT8fY3s4ff55O5+Oh9Ol+h1WjIR5xZywrFgS1hVrwm3FLWFbsSXsK/aE+4p7wmPFI2tJ2vCftywum0NSh+wOSR6yPSR9yP6QBCIbRFKI7BBJIpLFr7/J0xUEejyjWwAAAABJRU5ErkJggg==\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
@@ -647,7 +587,7 @@
        "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -657,145 +597,84 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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jh0DAG1tbeVjx8vLy01MTLp06cK1XLhwAQCGDh1a1y1KCUsikdjY2ADASrl9m+zsbPw+cY/8SxBClJWV4ZdfJ0+e5BrxinXIkCHEzTWIH3+8iHerRSIR14irL1N1iBs3bgSAjz766L///S/XmJycjF/RENm4xnmmDAwMuJZTp04BwFdffVXXLcqeK1ToEI8fP47H8eLFCyX7r8GePXvwHCk/XWnImQ6ZTIZPK3l6enKNnENUPvBQIZcvX9bS0uLxeP/+97+5xry8PLxv7uHhQcTK69evsUvlWnAoztSpU+u6hUDuBoXnRbFDdHNzI+gQuenqxIkTXKNGnel49OgRjnaSfy67du0an8/X0dF59uwZWXMvXrzAsXHyHkMmk40YMQLvxRQXFxMx9OTJEwDo1KkT14IXJF5eXnXdQkBYClepnEPcu3ev8iYw+/btw3sc3HTFnenQnCBp7Jjatm2bJ/eIGBAQID+jEKGkpASnIhsyZIh8GMLy5csB4OOPPyaYCCQ5ORkAevbsybXgoJJ6EiSRSWMUHx+PHaL8KjUiIoKgQ6yoqMDyjYiI4BpxqkgXFxfl+ycF5xBnzZpF1dDMmTMBwMrKSv7dcHR0NI/HEwgEMTExBG0lJCQAgKOjI9eydu3aGm9fakAsa7LC86Ljxo0j5RD3798PAF26dOF+O4uKirAjuHr1qpKdk4VziOfPn6dkYufOnQAgFArv3LnDNaampuKkRZtJH3rEyWrk1xv47VlQUFBdtxATlkKHmJWVhR3ivn37lOz/5s2bbm5u8m/mce2TerZS1AiOiGzbtm1+fr6SXUml0jdv3qSkpCQmJp4/fz4iImLJkiXa2toAcOzYMe6yoqIivGU9duxY4hs9p0+frhEzgp92Q0ND67qFZJ53hds2eDelX79+ZP+13JmOy5cvE+yWFDKZzNnZGQBmz55d+2+Li4szMjIePHgQFxd35syZgwcPhoaGBgQEeHt7e3h4uLu7Ozs7d+vWzdzcHD/w1sbExKTG80pmZqaTk1OPHj3EYjHxfw7+IU6aNIlrweHz9SygCRcQULhtc+jQIeIZ94KDg7FeyXZLkIcPH+rp6fF4vP79+w8cOLBnz57t2rXjYpveH11dXVNTU1tbW0dHx+HDh0+aNAkHHLds2bLG8ry0tJT4DjsGPzbJb6NMnjwZAI4ePVrXLYRr6axfv/7cuXPJycnr16/H+5YA4OHhQdaKRCLBTyV4r0EzsbOzc3JySk1NrX36sq46QrURCoUKJ60pU6ZERER4enpevnyZiyTW0dHBgdrEkUgkACCf0xu31Hcskbi6r1+/jh2i/LqSLPiRXqPOdNQGn+kAgC1btvzxxx/37t1LT08ncgAGIYRzuAPAzp07iXRYP3g5u2zZMq5l8ODBAPD777/XdQt5YaG/zov26tWLRhY5iUSCHwjIPlETZ+nSpQAwatQoSv3jBbVqIsL9/f0BYM2aNVyLk5MTAMTHx9d1C5VqpRs2bLhw4QJ2iKtWrXqfW+qqi1m7dubbt28lEomjoyMuUKuZ5Obm7tq1CwDwj4QGo0aNmjhx4okTJ2bPni3vEGlQ2/G90xVSEZa+vv7evXtdXV3Xrl1rYWHRpk2bGsVzalTUqaeWjkJWr16N3+drLJs3by4qKnJ3d6dakSUsLOzatWtXr14NDw//5z//Sc9QcXEx/H2NVbulBrTqK7u4uEyZMiUqKgrH8L+Td65n5WtnmpmZ8fmaWyY9NzcXb2DiKDF6GBsbh4eHjxkzxtfXd8iQIfIHtsiiKTMWpqKiori4uH379r17965RPKdGRZ2G1tLRcHDi+y+++EIFie9Hjx799ddfR0ZGenl5Xbp0iZJDxPOTvIzeOWNRWbwjhJ48eaKlpaWtrU38lb6Gk5ubi8/03bhxQzUWs7KyTExMdHRaHj78iJIJnLdN/g0V3vqv5+GMlkNZs2ZNRUXFzJkzuZwTzYSQkJDCwsLhw4c7ODioxqKJicnu3cc7dMieM6erXCVuktRwfGVlZeXl5dra2lheiqEh8LS0NDxdqb6Ei3pRY5D0hAkIALm6IhoB4Th/HfemDieHMjQ0rOcWKsKaPn061PGarGmzZcuLLl3G1hMJTo/sbNSmDQJANE5IvXz58v79+1zY4KtXrwDAwsKinlvIC6vZTlf5+cjQEPH5KDFR2YiGxnH8OAJABgaIdEB4TVJTUwFA/mxFbcivsYKCgioqKqZNm4bDiJsP27aBSASuruDoaKiWAUycCOPHQ2EhzJwJ5ErIK6D2Q6ICyGr5+fPnOjo6AoGgcUmVPlwKCpCREQJA6s17zzlECiekqrl06RK8K7SEsLBwmM6MGTPIdqv5rFlTtXZWOxERtBzi06dPw8PD3d3ddXV1LS0tlyxZUs/FJIWVnp6up6enpaX15MkTgt1qPgUFqHVrBIA05EjH+PEIALm5EXhCzMvLO3nypKenJ04AgeHz+e98QCEprCVLlvTt27cZVv8ODEQASHOOdHAOsXEB4TIZunkThYS86tevn0Ag4PRkZmY2bdq0Y8eOvU+GLWLCysjIaN++vaWlpYrz+qmdoiJkYoIAkEYd6Th2DFlZoQaFbWdlochI5OWFzM0RADI0rBQIdAQCQZ8+fQICAm7fvt2g4HJiwvLz8zM3N583bx6pDj8U1q1DAEgDj3RIJOibb5DcYTk0Zw7CuVpCQqpaSkvRlSvIzw/16oV4vOriCR07ou+/R2fPxjU6MpGMsDIyMjp06GBpadncVldicdV0pZFHOpC+Pvr4Y5SZWfWxQwd04wa6exd9+SW6exe9eoVataoWU4sW6Msv0fbtKDWVgGky0Q1hYWFlZWVfffUVLpDUfDhwALKzoX9/cHVV91DqYPx48PGBiIiqj+Xl8OQJiERw/z707Qt2dpCVBYMHg7s7DBkCddSFaRTKa/PNmzfW1tZt27ZNSUlRvrcPi/Jy9PPPSK0VsetDXx+lpaH27RGO4u7QoSoH/aJFVRcQyu2gAAI779u3b5dKpSNHjsRFrZs2Dx4AjwfbtlV9zMmBWbNArRWx34G+PmzdCnPnglRa3bhlS9U3f9VrIo+ywsrKyoqIiODxePhEYXOgVSsIDoaMDHWP470ZNw46d4aQEJUaVVZYYWFhUqnU3d0d5xZvDrRqBd99BwsWqHscDWHHDggJgcJC1VlUSlhZWVlHjx7l8Xg4RVbzYelSuH0bfvtN3eN4bzp3hjlzID9fdRaVeiqUyWRffPFFeXl585muMPr6sG0beHtXVTDUBBISoEsXMDGpbsnPBx8f4M70L1sG+vrQtq2qBtS4NX9ycjIXAc2lQWsO3L+P2rev+t7dHXl7Iy0ttQ4IIYSQVIosLVGLFkguCylavhxpa6MdO9QzpPpmrNTU1AMHDgiFQm9v79LS0l27duno6CxYsODQoUNCoTA3Nzc5OdnPz0+TT2JRZft2sLdX9yAAAOCnn+DVK+jdGzjPkZcHYWFQXg40zzXWSz2ii4iIEIvFv/7668aNG6dNm/b8+fPExMSVK1dmZmZ6e3vjFpX9BmgI8jMWQmjNmjpnLJWVqyorQx06IAB06lR1o78/AkDDh6toDLWpb7KZNGnSgwcPrl+/PmjQIKlUamxsbGNjc//+/YKCAhMTE2dn5xeUDoVoMHZ2cO9e9cflyyEzEzZtgufP/3bZb79B374qWiz/9BO8eAHdu8Po0VUtBQUQFgYAsGKFKgagmPp1d//+/c2bNx84cODu3buLFy/esGHDhAkTEEKVlZVqKamqgaxYUTP4qbISOTvXLGVIibIyZGWFAJB87txVqxAAUseRjmrqE9a9e/cQQmlpaT4+Prjl999/J57f8kMnOxuZmiIAJJ+pX2EpQxqEhyMA1L074p6gRKKqIGn15r2vT1inT5/29fX18fF59uxZVFTUwoUL165dSyp1eFMiOroqOkC+gJDCUoZkKStD1tYIAEVGVjeuXo0A0ODBtIy+J7SO2Dc3ap8XVVjKkCx791aVoOamKw0504GYsEjBOUT5ErMKSxmSoqwMdeyIAP4Wyqc5ZzqYsIhx4kSdDrFnz7L8fFHdtzaG/ftrTldFRcjYWFPOdDBhkaS2Q6yoQB4eT1u3tvmWqEesrKyqDiyftjgoSIOCpJmwSKIwgUJqamrtyk3Kc/8+WrAAcUV0uCDpK1cIGmk8TFiEwQ7RwAClp1cXkd+0aRMAWFhY5FF7RFy/HgEgzcl7z4RFnhkzih0c1g8dOpTbQ1ZYypAgYnHVTHnp0rsvVg1MWORRWFJPYSlDUmzYgACQRuW9Z8KigsKSegQrN8lTWlq106FRee+ZsGhRu6ReRUWFg4ODhYUF8ZodSUnIz49sl8rChEULhSX1nj17RmT9Pno06twZlZRUffT0RMHByvdKkmYao6cCTExMQkNDAWDRokXp6em40crKqq5KcQ2lsBCCg4n0RAUmLIpMnjx53LhxhYWF+GGQbOeLF8POnfD4MdleiUGxgAADAHbt2hUbG3vp0qUDBw7gKs7vQ2kp5OeDSKTgKz+/6nysuTn4+sKcOXDpEsXxNxomLLqYmJiEhIR88803ixYtsrGxEQqFuOZU7YJC+Bt9/aSHD/VKSurrk5v7fHzg4MHqvAwaBRMWdaZOnXry5MmYmJgBAwa88+Lu3WUlJaCrC4aGYGQEhoY1v4yM4JNPqlZXOjqwcydMn66JZ/yZsFTB7t27k5OT586di2sH1a4pxLUYGQlatWpASoVBg2DAADh1Cnr1ovkPaDhMWKrAzMzMzMwsLS2NRudbt8K5czQ6Vgoe8acVhgp48wZatoSWLas/6umBoXrSyyuGCYtBBbaPxaACExaDCkxYDCowYTGowITFoAITFoMKTFgMKjBhMajAhMWgAhMWgwpMWAwqMGExqMCExaACExaDCkxYDCowYTGowITFoAITFoMKTFgMKjBhMajAhMWgAhMWgwpMWAwqMGExqMCExaACExaDCkxYDCowYTGowITFoAITFoMKTFgMKjBhMajAhMWgAhMWgwr/BzVHddlOW4wgAAABonpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQABhIBYF4gZGNgYNIM3MwsaQAaKZkQRgdAKQZmJCUgBjOOBhQDXDBNghpjHDaQUtIM0IUgFRCZNgMNBgBMmApCU5gIRjSX6uX2lOjoYMgzZMUh2bJDcDkwozA48KC4OAFhMTEw8/I48GEyOvAhOzBhMTnwIzCwMzqwIrmwYTG58CO0cGEzt3Agd/AidXAid/BhMXdwYTL58GE7+ACjOLIAOXEIMIMxsjLx8TAw8rMxMfGysbOzcXJz+H+DuQ/fBgzFn31m5i+4p9IM7W9wr2NUzWB0Bsfs7f9vev54PFDWQsHR5KFNqD2CH28g5Td0o4gNgTejsdrG9dswOxNSe2O0TLd+0HsR3k2g6U+fwFqz+eq3Ng/U4WsPrlzxUPZN5nAasxuN1wwEpXFsxOL5h94GOfElj97+d++x6pXQOLL+ficOB4bwJ2z9d1Rg6CN/eCxTe3vds/SSsYrP7vkt37kiuyweyCxCQHichYsF3hutMOzJ79C6xeDACAS2RyKB5KUwAAAhh6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VLuOGzEM7P0VqgNYEB+iyMKFH4dLkNgGYt+1QXBFckVS5f8Rchf2yogQ7RYSdzgiOeTqj19v395+fn//vV2lWF8Pn9//pPvCw8rt5T+vmaVXKqWsjik2aff0/OmU9tft7mbZn19O10sCSwju488jdns9H28WSPtUMgujY9clExpUc1OZ1uKKE1BQpWpaYzbEgm0AJAdCNgEEDkYk58YBkB2IWc0B1T8bQ1MZ4OqEY1VkDyOTCg0vFsdxRtNKEDmBCfEA12YcCbeS1pBLs6KjANWBa85gAEaRU1O1UYQWQMxijCVCLI2UaACEMiMrWpOpOhWsDKMEmG8vKK22gAqQNRhBcYZqbTwBPG+zISml06RJwRKkkKVRkVHyLt7JUwGsUkvErNiKjjoD6oRsBoYanKwE2iuU9h+fN5Bet182fPcKuRzsavIku8uroiP+NgdNImxRVb9Iy0gH0PQhUa7UwJpvuGqVXod03F4uG8a7g7mDV06MCtUIx2rTxv+4kN1cnk6HhwGaR2p3Ph2WkYqHlsGZDLTMx2RpyxhgWGhpd4gzL22N7sNL9zq313xpUnCKurRiHKVrOHSG1nUVBEXteoedw7oOiTNg1wccrNLJzcEL0Ek5W6STjKe7sJMmkupvjlDddakERu08fb0bpsr5+1D9vtZxvv36fL/6C1/CAtIrkOwoAAABsXpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWSP4/bMAzFv0rH5Oqo4h9RZIIMRYCOQYaiS5ohNTwUvdiHa9rpPnxpZzmxHgzo/Ujq8UFnsqdLD71/q0/H/QG/+++4Px8/XuiwPxxWhzPj02XthNY9fHhbbTiJUaZuA8lK1drtXMooVbpNTgJkFRZNS+XauURsxosEBmCdN1Y1F9BHMXaYciUlFyDpXO1NiqyiLuVEImzkmoFplm6XEwsjwnwfoUGxpQ4z5lJnX1LpUSeoUrTziwzRPe8wARYps6JYs81K9bnLOqzk7nackISXQbla1kUxLbMFBnODc5caUplNMVSVWWF1074M+Q5+FaVCFTtKXLR4gW8t8DCN5PZxCaCgPYIrYNknr7vrfbqdXqeXbU6///x4mfpfwz19OflxGP/+fJ3G2zDe03jdwjv++eTH9xxkiy3HhvOWWkwBc4s54NLiErC0WAKuLa4Ba4s1YGuxBQw5BJNjAaTb9Px1un+7Pg9jPzyktgdiT0gTYpwQ8oQYKIREIUYKIVOIoYK0LwLkvycRgoWYLIRoIWT79g81XjCrGPEvWwAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
        "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
        "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>B</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
        "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
-       "      <td>0</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "  subpocket                            smiles  \\\n",
-       "0        AP                 Nc1c[nH]c2ncccc12   \n",
-       "1        AP  N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1   \n",
-       "2        AP                    Cc1cc(N)[nH]n1   \n",
-       "3        AP                     Nc1ncc(C=O)s1   \n",
-       "4        AP     COCC(=O)n1cc2[nH]nc(NC=O)c2c1   \n",
-       "\n",
-       "                                               ROMol  \\\n",
-       "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "\n",
-       "                                         ROMol_dummy  \\\n",
-       "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "\n",
-       "                                      ROMol_original kinase family  group  \\\n",
-       "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
-       "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "\n",
-       "  complex_pdb ligand_pdb alt chain  \\\n",
-       "0        5l4q        LKB   B     A   \n",
-       "1        5te0        XIN         A   \n",
-       "2        2f4j        VX6         A   \n",
-       "3        2gqg        1N1   B     A   \n",
-       "4        2v7a        627         B   \n",
-       "\n",
-       "                                     atom_subpockets  \\\n",
-       "0  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...   \n",
-       "1  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
-       "2          AP AP AP AP AP AP AP AP AP AP AP AP AP SE   \n",
-       "3                AP AP AP AP AP AP AP AP AP AP GA SE   \n",
-       "4  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
-       "\n",
-       "                                   atom_environments  \\\n",
-       "0   16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na   \n",
-       "1  7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...   \n",
-       "2                5 5 14 14 14 14 14 14 14 8 8 8 8 na   \n",
-       "3                    14 14 14 6 5 5 14 14 14 6 na na   \n",
-       "4  8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...   \n",
-       "\n",
-       "                                      smiles_dummy  fragment_count  \\\n",
-       "0                    [11*]c1cnc2[nH]cc(N[27*])c2c1               3   \n",
-       "1     [12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1               3   \n",
-       "2                              [22*]Nc1cc(C)n[nH]1               9   \n",
-       "3                        [15*]Nc1ncc(C([41*])=O)s1              17   \n",
-       "4  [8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12               3   \n",
-       "\n",
-       "  connections connections_name  bool_ro3  \n",
-       "0    [FP, SE]   [AP=FP, AP=SE]         1  \n",
-       "1    [SE, GA]   [AP=SE, AP=GA]         1  \n",
-       "2        [SE]          [AP=SE]         1  \n",
-       "3    [GA, SE]   [AP=GA, AP=SE]         1  \n",
-       "4    [SE, FP]   [AP=SE, AP=FP]         0  "
+       "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 87,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "fragment_library[\"AP\"].head()\n",
+    "HTML(fragment_library[\"AP\"].head().to_html(notebook=True))\n",
     "# NBVAL_CHECK_OUTPUT"
    ]
   },
@@ -809,7 +688,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 36,
    "id": "f6aedaa5-af5d-4454-b0b5-0815310f745d",
    "metadata": {},
    "outputs": [
@@ -842,45 +721,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>516</td>\n",
-       "      <td>485</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>606</td>\n",
+       "      <td>595</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>653</td>\n",
-       "      <td>209</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>840</td>\n",
+       "      <td>260</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>500</td>\n",
-       "      <td>106</td>\n",
+       "      <td>743</td>\n",
+       "      <td>613</td>\n",
+       "      <td>130</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>278</td>\n",
-       "      <td>28</td>\n",
+       "      <td>355</td>\n",
+       "      <td>312</td>\n",
+       "      <td>43</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>39</td>\n",
+       "      <td>47</td>\n",
+       "      <td>44</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>40</td>\n",
-       "      <td>2</td>\n",
+       "      <td>59</td>\n",
+       "      <td>55</td>\n",
+       "      <td>4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2026</td>\n",
-       "      <td>833</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>2470</td>\n",
+       "      <td>1035</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -888,16 +767,16 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_ro3  rejected_ro3\n",
-       "AP             1001           516           485\n",
-       "FP              862           653           209\n",
-       "SE              606           500           106\n",
-       "GA              306           278            28\n",
-       "B1               42            39             3\n",
-       "B2               42            40             2\n",
-       "Total          2859          2026           833"
+       "AP             1201           606           595\n",
+       "FP             1100           840           260\n",
+       "SE              743           613           130\n",
+       "GA              355           312            43\n",
+       "B1               47            44             3\n",
+       "B2               59            55             4\n",
+       "Total          3505          2470          1035"
       ]
      },
-     "execution_count": 88,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -916,7 +795,7 @@
     "num_fragments_ro3 = pd.concat(\n",
     "    [\n",
     "        num_fragments_ro3,\n",
-    "        pd.DataFrame(num_fragments_ro3.sum().rename(\"Total\")).T\n",
+    "        num_fragments_ro3.sum().rename(\"Total\").to_frame().T\n",
     "    ],\n",
     "    axis=0\n",
     ")\n",
@@ -952,7 +831,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 37,
    "id": "c954d397-c471-4091-9ad5-d956e9d3cdce",
    "metadata": {},
    "outputs": [
@@ -996,7 +875,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 38,
    "id": "e4b4015d-f41c-429d-9fd3-07a4faa0ae12",
    "metadata": {},
    "outputs": [],
@@ -1014,7 +893,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 39,
    "id": "736f1790-40c5-4cbc-bc82-08d778fba09a",
    "metadata": {},
    "outputs": [
@@ -1049,7 +928,7 @@
        "      <th>group</th>\n",
        "      <th>complex_pdb</th>\n",
        "      <th>ligand_pdb</th>\n",
-       "      <th>...</th>\n",
+       "      <th>alt</th>\n",
        "      <th>chain</th>\n",
        "      <th>atom_subpockets</th>\n",
        "      <th>atom_environments</th>\n",
@@ -1067,15 +946,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>...</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -1091,18 +970,18 @@
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5te0</td>\n",
        "      <td>XIN</td>\n",
-       "      <td>...</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -1114,154 +993,90 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
-       "      <td>...</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
        "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.488854</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.656515</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAASyUlEQVR4nO3dfVBTZ74H8G94C9EQoAJKFSziFV9bFLWola2Kur3s1rVKx5da9WrTO611etvpxu1u59bOdiZbO73t1t1prFURXTtMO1asbpWK1pVVaxARUXynCAVUhBBIgJD87h+HQoiRN/MkEH6f4Q94OOc8P/Sb8zx5zkkiIyIw5mo+ni6AeScOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTthsJk+X0Of5ebqAXsRiKbt16w2D4aDNVufrGxIS8uxjj6V5uqi+ioPV5saNJRZL+YgRX8rlI5uaihsbr3u6oj6Mg9XCaq2uqzsxfPiW4OAUAIGBcZ6uqG/jOVYrH8DHaDxOZPV0Jd6Ag9XC1zc4LGztvXu7Ll2Kr6z8v+bmO56uqG+TEZGna+g9qKZmf1XVDoPhIEBDh2oHD/4fT5fUV3GwnLBaq3/66aXq6r3jx1+Wy0d6upw+iYMFwEZkkcnk9k0NDZcKC8fGxu5taiq12eoHD35TJuMnOt3Q3+dYVqvx+vXFxcVrALJYKlrb6+pOAvDzCykr21BWtqGoKNFszvdcmT138OBBj/Tbr4PV0HClqOjJmpq9tbXfGQzfFhREXbkyu6Tkv69fX1hS8vIjjyxTKp8eOfKAXD7SZMq9dGlyWdkGokZPV90NH330UUpKytKlS00md19L6L9DYW3tdzduLLVaaxSKCbGx38jlI0ym3Nraw01Nt3x8lErlUyEhvwVkAGw2U3n5e5WVHxJZ5fKRw4dvDQr6lafL75IDBw4sX77cYDBMnDhx7969w4cPd1/f1B/Zysu1ubm+ej2uXv1tc7OhK/sYjTkXLozR66HXy4qL1VarUXSVPXPy5Em1Wp2bmyv9WFRUFBcXByA8PPzYsWNuK6PfBctqNd+8uULKR2mphsjarX3Lyv43NzdAr0dBQYzBkCWuzu6qqqrS6XRPPPGEdL545ZVX7H81d+5cAAEBAZ9//rl76ukoWB99RA4Rr6qi996j69cdt7xwgbRaOn26XeO2bZTVi/7liYgaG0suXkzQ65GXF1RdvbdnBzGZ8i9enCxF8+bNFRZLlWuL7BaLxbJv374FCxb4+/tLkYqMjPz9739fVFRkv1lzc7NGo5E2UKvVTU1NogvrKFgREfTOO+1arlwhgA4dctwyPZ0AGj6c6uraGp94gtavd1WdLmA0/nDuXIRej4KC/zCbCx/mUDabpbxcm5sr1+uRnz+kuvprVxXZdUVFRRqNZsiQIVJcfH19k5OTMzIyNm3adNrhIf6L3bt3KxQKAE899VRFRYXQ8lwcrD/8oa2xVwXrzh1dbq6/Xo+rV59pbq52yTHN5ouXLk3T66HX48aNJTU1t11y2I4ZDIa0tLTk5GSZTCZFavTo0VqtVgrKkSNHZDJZYGBgWlqa091zc3Ojo6MBDBs2TK/Xi6vTlcFKT6eAACr85VzQS4JlszUUF/9XzyZVXTn8nTu6s2eVJ05MDQ0N1el0Lj14O3q9Xq1WK5VKKU8qlWrFihVZ7WcbFoul0yGvrKwsMTERQGBgYHp6uqBqOwnWhg1UV9f2lZ/fUbBsNpo2jZKSyGYj6h3BqqgovXQpUa/H2bMD793LENRLQ8MNtXqR9N/57LPPlpaWuvDgZWVlWq125Mi2K0sJCQk6na7OftrRXnp6emBgIICkpKTbt52cRxsaGlatWgVAJpNt2riRrK59sBF1GizAydeDgkVEubnk60vbthH1gmDl5ORERkampz99/nxUfb3A074kIyNj0KBBAIKDg3U6nU16ePVUY2NjZmZmamqqn1/LpaShQ4dqNJpr1651ZfecnBxp+hUbG1tQUOB0G51Op5DLK6ZMoWeeoWrXTA9adRKsdevo2rW2ryNHOgkWEa1bR+HhVF3dEqyvv6aUFPr4Y7pwwbWVd2LLli0BAQEA5s5Nbmi4655Oy8vLFy1qOXXNnDnz8uXLPThIYWGhRqMJDw+XjiOXy1NTUzMzMy0WS7eOU1paOnXqVABKpfKrr75yus3Px47RoEEE0JgxdOVKD6p9EFfOsSQ1NTRkCL3xRkuwVq1qO9VFRFBqKul0dOuWC/8ER12ZZwiVmZn56KOPAlAoFFqttrm5uSt7VVdX63S6GTNmtA55Y8eO1Wq1d+7c6XEl9kOeRqOxOh3ySkooIYEAUqlo374e9+XA9cGSfgwIoIgIWr+eKispI4PUaoqKajeejhhBajVlZJChS+veXXXnzp1Zs2ZJD/Rt0pDsCffu3VOr1VI+pk2bVlj4wNUNq9WalZW1YsWKAQMGSNuHhITYL50/PJ1OJ42nKSkpNTU1TrYwGmnRIgLI15e0Wnq4QVzSw2AdOkS/+Q3Nn09ff010X7CIaPZsAhznWNevk05HqakUHNyWMD8/SkggjYaysqibJ3tHeXl5jz32mDQdedBajjsdPHgwKioKgL+/v0ajaWxstP9tSUmJVquNiYmR8uTj45OcnJyWlmYymVxeyaFDh0JDQwHExcU5rJ22sNlIqyUfHwJoyRKqr3/IHjsKVnQ0vfdeu5Zr10gup8xMmjOHLl+mkhKKiqLiYifBKiwkf/8HTt4bG+noUXr7bZo6lXx920IWHm594YVVW7ZsuXnzZnf/kj179kgP+hkzZpSXl3d3d0EMBsP69et9fHwATJgw4ccffzSbzRkZGfYLUVFRURqNpgd/crdcuXJl7NixAKKGDDFlZzvf6NtvWx708fFUXPww3T3stcJf/9rxsk93GY2UlUUaDY0dS2PGnGmdYYwYMUKtVmdkZNy7d6/jIzhcr3A4MfQG2dnZsbGx0vr4wIEDpVIHDhy4cuXKH3744SGfP3ad0WhcuHDhhaSkliHPqaIiGj2aAAoLo6NHe9zXQwXr7l2KiSGno3bPXL9++7PPPlu0aJF03m69WJGYmPjOO+8cP378/pl46xVWPz+/Tz75xGWluJrJZFKr1QqFIjAwMCEh4eOPP66q8sBFRpvNRn/6E8lkBNDKlWQ2O9moqormzm2Zpvz1rz3rqOfBMplo5kzatavHB+iI1WrV6/VarTY5OVkub7tpeMCAAcnJyVqtVq/X22y21ntCwsLCsh90eu81Nm/eDOC5557zdCFEmZmkUhFAkybRTz852aC5mTSalgmKWk3dHwR6GKySEpo5k7Zv79ne3VNXV3fgwIHXX3993LhxsDN48GBpfXny5Mm3hC5guMiCBQsAePC5ajv5+RQTQwBFRtLJk863SUujwEAaMoR+/rm7h+9JsG7coPBwSkggtZrU6oedY3VLZWVlRkaGWq2Wnm2FhYVNnTq1/qGfwrjWN998c/+obbFYgoODAZSUlHiqMEd379KcOQSQXE5ffOF8m9On6d//7sGxexIso5H0+rYvZxejhLPZbO+//z6A6dOn3//bpqamU6dOub8qibSC4LAQlZOTA2D06NGeqso5i6XdkOe6xeQ+fAepyWQKCQkBcPHiRft2s9k8dOhQf3//yspK91d19epVAIMGDXJY5n733XcBvPbaa+4vqXO7dpFCQQAlJZHTf7SjR2nxYoqLo9hYmj+fdu7sdBG1D79KR6FQPP/88wB27Nhh3y497bJYLLt27XJ/VVlZWQCSk5Oltav7291fUueWL8eRI4iMxPHjmDwZubntfqvTYfZsAHjzTWzciBEjsGYNXnqpk2MKeQS4y8mTJwEMHjzYYUKzd+9eAOPGjXN/SQsXLgSwdetW+8ba2lp/f38/Pz/nV1R6idJSmjKFAFIq6dtvWxpLSkgup7fearfl7t0EtG3jTN8OFhFNmDABQGZmpn2jxWKRbhpx84Wd5uZmaQXOYRl93759AGbMmOHOYnqioYFWryaFglpvLt20iXx96f416lGj6PnnOzhSHx4KJS+++CKA7du32zf6+fm98MIL97eLdubMmerq6lGjRkmXLFt9//33AKSF3F5NLse2bcjLQ0JCS0tBASIjYbde3WL8eJw/38GRvCFY/v7++/fvr6iosG9fu3YtgD179rjzRcDSROr+AD2ovZeKs3vTufp6DBrkZJvwcBiNHRyjzwcrIiIiJSWlubl59+7d9u1xcXGJiYkGg0Gab7mH0wCVlZUVFRUFBQVNmTLFbZW4THAw2j9iW/z8Mx55pIP9+nywAKxevRrORr0HtQtiNBpPnTrl5+f39NNP27cfPnwYwOzZs1tf+teXTJqE27cds0WE/Py24dIpMZNAt7JYLJGRkQAcFkUNBsOAAQNkMlkX7xN/SPv374ezBdulS5cC2Lx5sxtqcL3btykoiNasadf4t7+RTEYnTnSwnzecsR40VVepVIsXL46IiM/MrHZDGU7HQSI6evTo/e19Rng4tm7Fzp2YMwcffogdO7BiBV57DX/8I+zuonZCaNzdpqioSCaTqVQqh+uGx4/X+PpSdLSIFzg5GjNmDIAT7R/HeXl5AKKjo4V3L9S5c/TSS/TkkzRxIi1dSt991+keXhIsIpo2bRoAh1dg2mwUG0sAHT4stvfS0lIAQUFBDku1H3zwAYA1DkNJP+ANQ6FErX49KWnPP//5n/aNMhlWrgQA0TN4aRycNWuWwwy9jy00uJCnk+0yRiMplSSTkcNM/dYt8vWlwEAnq8cutGzZMgCffvqpfaPZbFYoFD4+Pk5fjuzdvOeMpVRi0SIQYefOdu3DhiE5GQ0N2LNHVNdElJ2djfvOTCdOnDCbzfHx8a2vPu0/vCdYAFavBoBt22C1OmkXNxqeP3++oqJi2LBhcXHtPiil/46DXhaspCSMHInSUhw50q594UKEhUGvR76YNz6WAjRv3jyn7RysPu9BU/WAACxZAgDtb9xyGacBunv3bn5+fmBg4PTp04X02st5epLnYqWl5OtLAQHk8I4HubkE0KBB1NDg4h7NZrO0vu9ww+qePXsAzJs3z8X99RFedcYCMHQo5s5FUxO+/LJd+6RJmDQJ48ejstLFPebk5JhMpvj4+IiICPv2/jwOwsuGQsmDpuonTuDYMURHu7i7BwXI6fPE/sMLg/W73yEsDGfP4ty5du0KhZDunAbr8uXLxcXFERERjz/+uJBeez0vDFZAAJYtA4RN1e1VVVWdO3cuMDBwRvsrsq0vnWh954/+xguDBWDtWgDYtQuNgj/5xmg0LlmyZOHChYr258N+PsGCF3+WzqRJyMtDRgZSU93ddXNzc1hYmMFgKCkpkV6x3Q955xkL4lfbO3D69GmDwTBmzJh+myp4cbCWL0dMDOLjPdA1j4Pw4mDduIENG7BuXbvGL75AYaHwrjlY8OJgZWbi5Zfx6qvtGtetw9GjYvs1Go1nzpzx8/NLSkoS21Pv5rXBAhAaioMHsW+fWzvNzs62WCyJiYkqlcqtHfcy3vwB2hERmD8f69djzhz88gk0XdXYiLo6GAyorUVDwyWDoaS2ttZgMNT9orq6uvV7g8FQW1tbV1dXX18vvU1DPx8H4d3BAvDuu/jHP7BxIzZtams8eBAFBTAYUFeH+noYjaipQV1dy5f0vcXStn1i4oFTp97qeqdbtmyR3hqkP/PyYIWG4v338eqrWL687RliWhoyMjrZ0d8fSiVCQ6FUYtSo4SrVvODgYJVKNXDgQKVSqVKpgoODlb8IDQ1t/V562z7m5cECsHYttm/HunX4179aWlJSEBODoCAolVAqoVJBpWr5PigIISFQKhEQYH+MVMDty6x9nPcHy8cHf/87pkxpu5HmxRc9WlD/4M3PCltNnIhXXsHbb8Nm83Qp/Ua/CBaAP/8ZTU1oavJ0Hf1GfwmWSoW//MXTRfQnXnt3g9kMiwX2i5REqKnBgAGw+6QLJorXBot5Vn8ZCpmbcbCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnx/0xtep08OkW2AAAAzXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAOKG5gZHPIANLMzECGBojBwsYAFWCHMBiZYDLsEJpZAEIzcTBAaG4GxgwmBtYERiYFRrYEJnYNJmYWBRbWDCYWtgQRRlYGRjYWVvEsoFJGuPX/J6+3KzGbvR/EWbPG2n5aTqEdiL16GofD0hpXexD79XOPA6z9DGD2uewb+/clPbUFsflvT95/lWEpWO8Tcbb90t/bwGr+yAQ76Hsb7QOxxQBauSoB6x+C/AAAAS16VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9UslqwzAQvfsr5gcsZtF69BJKKbGhcXsNIYc0UAqF/D8dubhKQHQkwSxPTzMP8eX7cjx93vrj+eN0/eoayPY6vlxv8Gc8NprHf3ZKCd4FEZs9ZAf63dPzBMPS9VtmmN+m5QBRF+b1iOyWeb9lCAZAI5YTe2jJMLFTfjS4WrnKKzCIEFp1WFzwvoITxbEhsZRyOQSyIhWchQlaUWAi57TukClyBeiUUBvzCUPStCFiRFcB+sxIRumIZZ0lJoyxggxwgFafZInIQAadtVQbJsIMYjhFb22+QcES1d7eTeODrL9C9/M0FqGtHi5y5tAX1bQGUsSxGoYigdYglkEzmSvTaFCo4hqG+87u+8jx9lXUb34AT5t/Ps7lN4AAAADhelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXc0xbsMwDAXQq2RMAFngJynJstGh6N7mCo3hIQhiB4nbKYcvm42aJP1Hfn1OWKZp//H2dXhg99x3EiEVOVBMxOg5jB1irlSqRQATpVeElMDBLtxXqmGkKMqV8yuCnZYUEZDaHksq2SK2cmULSoGKhFEi1z5r6Ky7KPDfbT+z9MQBkZLa+CF8b+v1eF9vA8XHz+m2Tpd5i+9He87L7/m+Ltd52WIa4BmOoQN759bFu7Su3rX15D05z0P2nBsunkvT/vwDW9x9i3vI4L8AAAAASUVORK5CYII=\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAWPElEQVR4nO3da1RTV9oH8D9JBIKA3DUIiije6w1vqEWsoFi1a3WW6Iy3GVeXttVKZ7TT2r520vfVmdqOtbQK6rJ1asdaS2daL1VnxHYpiq0aLwgICiogoQUDEgFJSMh+PxzFECKVcHaCyfNbfMAN2fvpzJ999tk558SNMQZCxCZxdAHEOVGwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXMgcXQCxi59+gkoFvR59+iAhAT4+vAekYDk7jQZz5iArC0OHwtcXly9DKsWuXZg5k+uwFCxnt2ABiotx5QqiogBAp8PLLyMpCdnZ91v4cKMPG3dmFy9i1Ch88w2ef/5ho06HiAgkJWHzZn4j0+LdqWVmAsCUKS0aPT0xceL9H3FDwXJqlZXw9oafn2V7r1745ReuI1OwnJq7O3Q6NDVZttfVwcOD68gULKcWFQWjESUllu1FRejfn+vIFCynNn065HLs3NmisaAAp07hN7/hOrL0nXfe4ToAcSQvL8jlUCoBIDAQjY04dgy//z0iIpCaChnHzSbabnABn32Gv/0NhYUA4OOD3/0O771nZUUvKgqW8yoqwjffIDoaU6cCwJ07aGhAcDC6dLHD4B1aY+3bt++1114TqxQistOn8cYbDxdY/v4IDQVjWLUKaWm8B2/rKNvQ0JCenl5YWLh+/XoAW7ZsycnJARAREbF48eINGzbExsYGBARs2rRp0KBBM2bM4F0raZ+bNwGgT58WjaWl+PBDRERg+XKug7cVrJSUlICAgB9++EH455EjR9LS0vz8/KRSKYDZs2fv3LlTrVa/9tprI0aM4FolsYXVYN24YaWRg7YOhW+++eaiRYua/3nnzh2FQiGTyby9vb29vbt169a1a9fExES1Wq1QKHgXStrNaoaspo2DdpxwhoWFrV69uqysLDIy8oMPPqipqfnjH/8YHh7+7bff8quP2M5qhjphsNLT0wEwxqZOnZqfnz99+vRTp0599tln8+fP51YesVVjI8rLIZMhPLxFuxCsyEje47fjrLCysrL5e5lMBuDEiRNffvnloUOHxK+LdFBxMUwmhIdb7oJ2hjXW4cOH165dW1VV9frrr1+8eHHhwoWvvPLKnDlzYmJioqKiACQkJADIyMjgXSVpt0cd8ux1KGxrg7Smpkar1QrfC8v24uLigIAAvwebtk1NTcOHD6+urj516lQk/9mVtMO2bXj5ZbzwAj755GFjbS18fSGXo74ebm5cx29rxvLz8+v9gLu7u0QiiYyM9DN7K0AqlU6ZMgU0aXVCbe81cE4VOn51g3A0/P7778UohojH6iLdXsdBdDxYcXFxXbp0OXPmzN27d0UpiIijjb0GuyxaOhosX1/fsWPHGgyG48ePi1EPEYlDd0chyoV+8fHxAI4dO9bxrog4amtRXQ25HCEhLdrttdcAUYI1ffp0AMeOHWtqfW01cYTS4uLDkyfnzppluUh/smasiIiIyMjImpqaCxcudLw30nHni4pmnjjxZkODeSNjbFtIyPG4ONOTEizQTmknc/PmTQB9WgaooqLi5ePH5+TkSHx97VCDOMGiZVanYjVYVhv5ESdY48aN8/X1LSgoKC0tFaVD0hFChizeC7HayI84wZLJZFOmTImKGpGZWS1Khw7HmF6nu9bQcLmp6cnbn7M6Od24caN1Iz+i3QA0adKWbdukcjkWLhSrS4eprt5z69arRqPGzU0GuIWGruvR4w1HF/W4GGPFxcUAIiIizNvtfCgULVgzZkhlMhw/jtpaOzzWiyO9/mZx8ZLg4JdDQ9dJJF46XS4gdXRR7VBRUXHv3r2goCDflov0J3KNBSAgAOPHQ6/Hk35qeO+eirHG7t1XSaU+bm5SuXy4XD7U0UW1w6MOeU9qsADMmgUAT/plfzJZMIDKyo8YMzq6FltYDZDRaCwrK5NIJL169bJPGeIH67vvYDKJ2Ku9+fjEBgTMr6jYlJMTVla2WqcrcHRF7WP17K+0tNRoNPbs2dOD80NmmokZrCFD0LcvKitx7pyIvdqfpE+fLwYPvhQQsLC6eu+VK09VV+9xdEnt0MYmlj0vxhT5aTPPPgs8+UdDAHL58LCwjUOHFnp7P61WvwlAry9ydFGPpTPsjkL0YAlHw4MHxe3VTkymOosWicTL13eawfBLY2PplSsjr12b2vmPjFYX7098sOLi4OODS5esPOurk9Prr+fnj66o2KjTXa2t/YGxJgBGY2V19Zddu47W6a5KJO61tT/k54/8+ef/M5l0jq7XOqPRqFarJRJJeMu7vuy8OwrRg+XujoQEADhyRNyO+aqryywoGKfTXa2u/qqu7nRR0XPZ2f65uZGXL4ebTA29e+/w9U0YMqQwJCTZZGosL1deuTJUq+2M/4VGo3Hbtm3r168/cOBAQkLChg0bVq5cqdfr7T9jgYlt504GsJkzRe+Yl+rqvRcueKpUuHYt0Wi8yxhraqqvq/vpzp19dXVnTSaD+S/X1p7My3tKpYJKhcLCWXp9iYOqtu7WrVtvv/12jx49hP9zu3btCmD06NG7d+/++OOPq6ur7VaJ+MGqqGASCZPLWX296H2LzqRWK1UqN5UKpaXJJpPxsV5jMlRUpFy86KNS4cKFrmq10mTS8y70V508eTIpKanLg2dfDRw4MCUl5dSpU3379gXg6+v7r3/9y571iB8sxti4cQxgBw7w6Fs0JpPu5s1FKhXOn5dWVGxu78sbG9XCy1Uq5OUNq609xaPIX6XVardv3z506P33Btzd3ZOSkjIyMkwmU/MvzJkzB4Cbm1tycnJjY6N9CuMSrHXrGMBWreLRtzgMhqqrVyerVLhwwbum5qDN/dy9+31u7kCVCiqV282biwyGShGLbFt+fn5ycrK3t7cQKYVC8cYbb9y6dav1b5pMppSUFGEyi42NLS8vt0N5XIJVVsYuXGAP/mY6HZ2uKDd3gEqF7OzQ+vrzHeytqalBrf6LsEq7dCmwouLTpqYmUeq0Sq/Xp6enx8fHuz24nn3ixInp6ekGg6HtF2ZmZoaGhgIIDg7OyMjgV6HAxmAtWsSmTbNs9PFhaWns888ZwP70pxY/UijYu+/aNpTIamuzLl0KVqmQlzdcry8Vq1udrqiwcIZKhS+/jIuOjj579qxYPTcrLy/fsGFDWFiYkCdfX99ly5bl5OQ8fg+VlZXTpk0DIJVKlUol1z8AG4M1bx6Li7Ns7NKFffwx+/xz5ubGunRhFy48/FEnCVbrE0Bx3b799aBBkQBkMtmrr76q1WpF6VZYmMsePDdGWJjX1tba0JXRaFQqlRKJBMDMmTOrqqpEqbA1LsFyd2e//S0bO5Y1/0k4PFgmk+nWrf8VTgBv3frTY54A2qCurk6pVLq7uwvrnl27dplsXRM8amHe8SIPHToUGBgIoE+fPpcuXep4h63xClZpKfPyYqmp93/k2GDpdLqFCxf+z/+MP3++iw0ngDbIzs6eMGGCEIi4uLi8vLx2vdxiYR4aGvqohbnNSktLY2Jihg4d2r9//x07dojYs8D2YPXsyVasaPElkTwMFmNMqWR+fuznnxlzaLA0Gs2kSZMA+Pj45OVxX7Q2M5lMu3btCg4OBtClS5fk5OS6urq2X9K8MG/evn7Mhblt9Hr9+vXrFQqFQqFYsWJFvagbj7YHKzSUvfRSiy+LYDU0sL592fz5jD0I1tGjLDWV5eQwnqvGFoqKigYMGCD80V8wX/TZS3V1dXJysrCmiYyM/O6776z+mlqtbr0wz83NtUOFR44cGTBggEKhmDRpUn5+vljd8joUCv7zH+bmxjIz7wdr3jwGMID5+LD4eKZUsowMptN1oPw2ZWVlCRPG8OHDS0tFOwG0wblz58aMGSOEZtasWcXFxc0/sliYDxo0KCUl5VfnNnFdv379mWeeUSgU/fr1+/bbb0Xpk2+wGGPPP8/GjmU9erB332V79rCFC1mvXvfjJXx5ebG4OPaXv7CjR5lNJzrW7d2719PTE8CMGTPu3hX/BLC9DAZDSkqKcIODl5fXmjVrUlNThwwZIvrC3DY6nW716tXCYXHlypUNDQ0d7JB7sEpKWNeuDGixxiovZ+npLDmZRUczieRhyKRSNngwW7aMpaezSls3sU0mk1KpFPYPk5OTue7WtFdZWdncuXOFJDUvzJVKZUVFhaNLY4yx9PT0yMhIhUIxbdo082nVBtyDxRh7913LYJnTallGBlMqWXw88/B4GLL+/bMjIyMXLVq0ffv2x19tCCeAwh7g5s32OAG0wdq1awGEh4fv37/faOS18WGbnJycmJgYhULRv3//Q4cO2dyPjcE6eZK1nrb37GEFBay4mFm8j67Xs/R09jjrwro69v337J132NSpLD5+i/nlPQqFIikpKSUlRaVSPWoSqqqqmjx5MgBvb++DB21/B5C3lStXAli3bp2jC7Hu7t27S5cuVSgUoaGha9eute19ay7vFYrCaDTm5uZu3749KSkpKCjIPGQ+Pj7x8fFKpTIjI0P3YPHv8BPAxyd89NDx48cdXcgjmUymtLS08PBwhUKxdetW8x8ZDIbs7Oxf7aHzBsucyWTKzc3dunXrggULLC669fLymjJlypIlS/z9/QFER0er1WpH13vfrl27Nm3aVFLS4mJArVYrlUrd3d3F3Tfi4cyZM4sXL9aZnbc3NTUZjcZRo0b96mufjGBZUKvV6enpycnJ0dHRwhaRRCLx8PCIj4/vDCeAzcaNGwfg6NGj5o2HDx8GMGHCBEdV9Tjef//9SZMmlZWV1dbW7tix45lnnhFmqdmzZ3/wwQfz5s1bt27d4sWL2+jhifyw8dDQ0KSkpI8++kilUlVUVOzbt2/AgAF6vT4hIcGn1XMjampq8vPz7V/kvXv3Ll68KJPJxo8fb95+8uRJAE8//bT9S3pMeXl5586d8/f3NxgMV65cCQkJCQsLq6+vB7Bnzx4/P7+CgoJhw4Zt3769rV7s9TfAlzAN9O7d2+IkKzMz08vLKyYmxv4lCc++Hz16tEW78P7So7bgHc5gMMyaNevq1avPPffczZs3hcaXXnrp9OnTjLFr165NmTIlPz8/NjZWo9G00c8TOWO1lpiYGBUVVVJS8t///te8ffTo0Z6enj/++OP58+ftXJLVmUmv16tUKolEEhMTY+d6HlNaWlpsbGz//v2t/jQsLOy9994bOHDgX//6V782P67cSYLl5ua2bNkyAKmpqebtcrn8D3/4A4Bt27bZuSSrwTp79qxOpxs6dGhAQICd63kcJSUlqampAQEBu3fvvn37tnAcMCeXy4X3piZNmiR80O6jOEmwALzwwgteXl5HjhwpLCw0b1++fLlEIvniiy+qq+33tEGj0XjmzBk3N7eJEyeat3fyBZZMJnv77bfFeXCIHQ7bdrNkyRIAf/7zny3ahSfRf/jhh3ar5MyZMwAGDhxo0Z6YmAhg7969dqvEZvPnzy8pKSkvL587d25MTMzMmTM/+eSTx3+5UwVLeNC8v7+/xRbR/v37AfTr189u7xtu3LgRwNKlS80bjUZjt27dAIh7yV7n5DyHQgAjR44cO3bsnTt3vv76a/P2WbNmRUREFBUV2e1Tyqwe8i5fvqzVavv27dt83ZUTc6pgAVi+fDmAtLQ080aJRCIs7S3aOWGMnT59Gq2C1ckXWCJz9JQpMp1OJ1zcZ3ED1u3btz09PaVSafPeDD95eXkAevbsadEu3JH86aef8i6gM3C2GcvDw0PYX7CYnIKCgubNWzx+/JavvvLmXYMwM8XGxlq0Z2VlgWasJ1dxcbFUKpXL5RZbw1lZDGDBwRwvhhYsWLAAQFpamnnjtWvXAHTv3p3v2J2Gs81YAHr37p2YmNjQ0PCPf/zDvH3CBERH4/Zt/PvffAuwupZyrQWW8y3eBStWrJo8ef/+/cstnt/84osAwHUFX1ZWVlpa6u/vP3jwYPN2VwuWEx4KGWMmE4uKYgA7fLhFe309CwhgADvf0UeBPNLu3bsBzJ4926JdeE5VJ78CUUTOOWO5uWHpUqDV5OTlhcWLAaDtKz46wurM9Msvv1y/ft3X13fYsGG8Bu5sHJ1sXqqrmZcXk0jYjRst2gsLmUTCvLwYp8cmCkfAH3/80bzxq6++ApCYmMhlyE7JOWcsAP7+SEqCyWQ5OfXrh6lTce8e/vlP8QfVaDT5+flyuXzUqFHm7S63wHLWxbtg+XIA+PRT6HRW2rdsAWMij5iVlcUYGz9+fPNtgwIKllMZOxZjxkCjQXp6i/bZs9GrFwoLcfy4yCNaDZBWq83NzfXw8Gi+y94VOHOw8GBysljCS6X4+99x4ABa7Y13lNVgZWVlNTU1jRkzRrjl30U4ebDmzUNgIM6cgUrVon3uXMyejTYvgWy3+vp64e4J4eacZi54HITTB0sux5IlALB1K/exfvrpJ4PBMHLkSIs7hVwzWG5M9BVsJ3PjBqKi4OGBW7cQGMhxII1Gc+TIEU9Pz6SkpOZGvV7v5+fX2NhYVVXV9t0HzsbR+x32MGMGA9jGjQ4Y+sSJEwBGjBjhgLEdyskPhQJhCb91qwM++tU1j4Nw+jWW4Nln0acPrl9HZqa9h3bZYDn/Gktw8CC6dRN/f6FtTU1NgYGBWq1WrVYLnwrhOlxixgLw/vtITkZNzcOW3bvx1FN8B83OztZqtf369XO1VAGQOboAOyktRWkp3nrr4WapVoviYjGHuHv3bkVFhUaj0Wg0VVVVwkkiXPI4CNcJFoDnn8f27Vi0CO19bILBgKoqaDTQaKDV3iwrO6x5oLKysvn7xsbG1q+dP3/+YuFKHRfjQsEaPx4SCV58EefP48HnRcJoRFkZKivv50ajwe3blv+8c+dhJ08/3Xjy5CtW+/fx8QkJCQkODg4KCgoMDAwKCgoJCUlMTHSha7DMuFCwAGzciMGDsXkzVq2631JQ8OsrLakUQUH3v4YN83rqqeVBDwQHBwtJCgoKEueRB87CtYIVEYG33oJSiblz77eEhKBXL4SEIDj4YXq6d3/4fVCQxX59OJBqpWvSkmsFC8Drr2P3bqxZc3+lFRKCkhJH1+SMXC5Y7u7YvBnTp0PiKjstjuGK/+smJCApCV984eg6nJorBgtASgq8ud9q79Jc5VC4Zg3M729QKLB3LwoKHFeQs3OV9wqJnbnooZDwRsEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtw8f8M1e4VFPV7yAAAAQF6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAALihuYGRzyADSzMxAhgaIwcLGAKHZGcASTHAJdgjNLAChmTggCpkYDDQYgQxGTSAhyQEkHEvyc/1Kc3I0ZBi0YZL82CS5GRgzmBhYExiZFBjZEpjYNZiYWRRYWDOYWIA8DgZmTgYRRlYGRjYWVvEmkCFw1/c2M9pLWJ7fD+KEtEbZ981V3gdidzvxO8j4XrUDsS2mOR4oWX5zN4jNmX5iv3bWVrAaJYfa/d/n3APr/Vh+a1+1rrw9iH1rgbTDop2fwezi1miHHIO/YPV+TLEHMtW2g8XFAIL4ORmtnLBUAAABYXpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1STWvDMAy951foPKiRbFmxDjskTRljNIGl27WUHbrCGAz6/5mckTpjYYpDLOm9hz7iz1/n4+nj2h7f3k+Xz6aCbM/d0+UKN/NdZXH856gqvAZErPaQL9DuHh572B6ado5sh5f+MAJhPtPzG9schv0cIdgCuohRiWFDTiiphdHhZIXqJ2CKIWoNG3Rk30QrwGBA73xIHGpLM4kgr+AYetgEh55r5ayIKMJ+BRlN0UqLEoUnZIgcvKwgJWui06ReMHPqoCRxBVnDmJHsRTQriac6pRVggsHa4UCiAcgpMmFYwSncQTAcosdJWTnScpCwb8bxnuk2eTSGDYCj9SImbdwkfxkUZ8au737t7meb7dB3ZZtsry87y66UzVgOQlkAm1uXKVsOUhllFotlXuYUqTS5dWmejKuL1qZKcFn5ss7sz3+s3atvOdKYwV+HxQ4AAAEqelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicZY8/T8MwEMW/CmNbudadfXf2JWKoEGKDSiCWqkMbZUA0SdUGpn547E5xmOx7v/fuzw55tX9tsG+axdNiR7jaLx/flld8uC3W3hJ7Fwxa8hDF1EkBR0HNGiyACDkXk4qWhYWy6pm8y06wGjX9EgxeMZgaLAMrUpYEo/osRfasIScxvRFN7azzkciAJRQBMrXP48FlEynx3UMeRdNiCoT3aeREVFJKHIYYzdIcxqHbXoZzBbYbTh/D+Hk4tX3TWkzK9ed4HprvdrTvz6ls+9+vy9B3bT/a/lDhhG+2qZxyrlyJXYGRKl9yP+dUcppzLjnPuZRcCi5V+HdvmAReNqmc3RvLhnHWUEuss31ufyAWrDJbwD6aAAAAAElFTkSuQmCC\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>...</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.561340</td>\n",
+       "      <td>0.563803</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAWk0lEQVR4nO2deVRU1x3HvwMICChbIGgFBQNRwERBhDYuLEI0xhO1LllINETTNDU2aU3MiWkkmlRc4hZryknVoDZV3Bp3RRyVuiSCRgENih4QjSCLqDMIDMOvf7xhQGSZgXeZCfl9Docz782be38zfLjv9+67946CiMAwcmNh6gCYzgmLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixECi8UIgcVihMBiMUJgsRghsFiMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLEYIbBYjBBYLEYILBYjBBaLEQKLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixECi8UIgcVihMBiMUJgsRghsFiMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLHMlx07kJure3z3LhITTRqNkbBY5ktyMnJydI/v3MHq1SaNxkhYLEYIVqYOgGmJTZtw+jQA3L1r6lCMhMUya/z9ERICAEVFUCpNHY0x8KnQrAkKwqhRGDUKI0aYOhQjYbEYIbBY5suECfD11T12csIf/mDSaIyExTJf8vOxaJHu8e3byM42aTRGwmKZLwUF2LMH27YBQEUFLl82dUDGwGKZNR98gI8+wr17po7DeFgss6ZXL0ydik8+MXUcxsP9WObO7NkICkJwMABkZ6OyUvfYzOEWy9yxscHKlfjb3wBg9mwMHozoaJw5Y+qwWoPFMkcuX8bhw/WbI0ciLAxEeOopODjg8GGEhmLsWKSnmy7EViHGzMjNpV69yNaWtm+nsjLdzvJyyskhIioupnnzyNGRAAJo5Ej6/nsTBtssLJZ5kZ9PffoQQEOH0v37zR5WUtJYr9OnOzBKA2CxzIjr18nHhwD63e/o3r3WjzdnvVgsc6GggPr2JYDCwgyySo+kl5OTTq9nniGlUlSQhsNimQWFhdS/PwE0aFB9XmUUpaVN6LVzJ734Imk0REQVFfTyy/JG3RIslukpKiJ/fwJo4EAqLW1XUaWl9PHH1L27Tq+33qLHHqOlS4mI7t8nLy9Z4jUIBRGZ+sL0V83t27djY8tTUvwGDkRqKlxcZCjz3j189RW2bkVsLIqKsGMHUlLg4oKAAOTny1C+IbBYpqSkpCQyMrKoqDgo6MjGjf0fe0zOwonw5Ze4fx/e3ti6FRs3dqhY3EFqMsrLy0eNGpWZmens7Lh+vbO8VgFQKHQPXn4Z9+5h/36Zy28ZvldoGu7evRsTE5ORkeHn56dUKj08PIRWt3o1xo8XWkNjuMUyAffu3YuJiTlz5oyvr69SqezRo4foGvv3x7hxoit5CM6xOhq1Wv3cc88dP368d+/ex44d6927t7i6Cgpw8yZcXeHtjepqnD2LoUPF1fYQ3GJ1KBUVFWPGjDl+/LiXl5dSqRRqFQBPTxw6BD8/fPIJ7Ow6zipwjtUxFBYWZmdnZ2dnb9iwISMjw8vL69ixY3369OmAqqUBzfpJGR0GiyU/d+7cyc7OvnjxovQ7KyursLBQesrDw8PGxmbv3r3irBo9GvfvIykJffsCdWL5+QmqrVlYrPZSXFyclZV16dKlrKwsSaPS0tJGx7i4uAQEBPj7+6ekpBQWFu7bty8wMFBQPKdPo7wcjo66zStXAODJJwXV1iycvBtHeXn51atX9Q1SRkbGrVu3Gh3j6Oj4xBNP+Pv7SzIFBAR4e3srFAoAKSkpMTExzs7OV69edXZ2lj28oiJ4eMDZGWVlTWx2JNxiGcTSpUv379+flZV1+/btRk85OTlJ9ug16tmzZ3PlREdHR0REKJXKFStWfPrpp7LHKZ349O1To82OhMVqnRUrViQlJWVlZQHo3r27r69vk61RC6jVant7e+lxQkJCWFjYsmXL/vSnP7m7u8sbaqOMylQJFlgsQ5CsWrVq1bhx4zw9PVs9vtHp8uLFi126dPnpp5+kZ4cMGfLcc8/t3bt3yZIlS5YskTdU8xGLh820Qm1trYODA4A7d+40eUBZWVlaWto///nPd955JyoqqsmbMy4uLtXV1fqXXLhwwcLCwtbWtqCgQN5ox40jgJKTm97sSLjFaoWbN2+qVKrHH3/cyclJ2lNUVLRr167sOh5N3rt3796/f//AwEDpt7+/f6N2bsCAARMnTkxOTv773/++Zs0aGaOtrPzgmWd8nnxyEuAKIC+vFrDgFsscSU1NBTBs2DD9nh9++KHhB2hjY+Pv7z9p0qR58+YlJydnZWVptdpWi83JybGysurSpUtubq5coWq1WltbW4VCoVKpiKimpsbGxqZnzyEqVZVcVRgOt1itkJOTA8CvwX+9v7//tGnT9Pl77969W03eH8XPzy82Nvabb76ZP39+UlKSLKHm5eVVVlZ6enpKFwp5eXlVVVWWlrfs7a1lKd84Ot7lXxbvvfcegEWLFslecl5eno2NjaWlZXZ2tiwF7tu3D0BUVFSTmx0M34RuhcuXL+PhFksuevfuPX36dK1W+4lMi35IoT5Z120lLnJDYLFa4dFToYzMnTvXzs5ux44djfK2tnHlyhUAvnU3nKVNFssc0Wg0+fn5FhYWPj4+Isrv0aPHzJkziSg+Pr79pTVqokzbYnGO1RI5OeXDh//x2WdfEVdFWVmZ1JFx9OjRdha1Z8+e+fPn37x5U9qUBntduXKl3TG2BRarJb77jgAaPVpsLVJzNXToUBnLrKiosLCwsLa21kjTVTscPhW2RMfcEvnrX//q7u7+v//97+DBg3KVeeXKldraWh8fHysr0/QosVgtIQ1mEj380sHB4f333wcwd+5cat8ophs3bhw6dGjZsmVSL4mbm5s8IRoPj8dqifBwHDuGQ4cQHS22osrKSl9f3xs3bmzfvn3ChAkGvqrRUNULFy40HNXj4eFRWlqanJw8roMn6ABgsVqmZ0/cuoW8PAie9AAAX3311dtvvx0QEHD+/HlLS8tHD7h165Z0d1IyKTs7u7y8vNExbm5u0t3JwMDA9PT0tWvXWlpaJiUlvfLKK8LfwMOwWM1y/z4cHWFrC5UKFmJShobjtDQaTb9+/a5du7Zx48bY2NhGrVFmZmZRUVGjlzs7O/v4+Pj7+wcHB0sjDRtNUZw3b978+fMtLS2/+eab2NhYIe+hOUxyyfCLID2dAHrqKVHlb968uWfPnpmZmfo90k1De3t7V1fXR/9Srq6uw4cPf+utt1avXp2amlpUVGRILQkJCQAkt0S9k6bgm9DNIvSS8Ntvv33ttde0Wq1SqdRPrKisrFQoFI6Ojj///LOTk1Pfvn0bDlVtWyftnDlzAHz44YdxcXG1tbWvv/66nG+jBTrS4l8W8fEE0EcfyV/ytm3bpF6ABQsW6HeuXbvWwsJCoVB8/PHHP//8s7w1Ll68GIBCofjHP/4hb8nN0ZJYO3fuzM/P75g4zJDly8nfnzZtkrnYHTt2dOnSBUB8fLx+5/r16y0sLAAsXrxY5vrqkIZBKxSKDRsuCKqiIc2KlZeX5+DgYGdnl5CQUFNT0wGhmA/vvEMZGbrHmzfTqVOylbxv3z4bGxsAs2fP1u/csmWLdBm4cOFC2WpqiuXLl0dEfKdQ0IoVQushakGswsLCyZMnS6fL0NDQ8+fPC4+ljhs3bixcuPCNN96YO3futWvXOqxePY6OFBqqW7rzz3+mDRvkKfbAgQO2trYA/vKXv+h3bt26VTotfv755/JU0yKJiWRhQQoFLV8utqJWcqy9e/d6eXkBsLKymjVrljTmVRAPHjzYvHnzqFGjGvbi2NnZLVmypINveLm706xZuo9eLrEOHTokWfXuu+/qdzaZbInm66/JwoIA+uwzgbW0nryr1eo5c+ZIf+y+ffumpKTIHkR6evqsWbMea7CmnUKhmDp1alxcnDTq9+mnn/7hhx9kr7c53N2prIx8fKigQB6xUlJSunbtCmDWrFn6nfpka968ee2twEjWrtW59emnoqow9Krw1KlTAwYMkP7kcXFxVe1c3ZeIiCrz8xcvWuTv79/oQrVPnz7KuqXKlUqlNKJIajLvt/BtDXJQVkZaLbm7ExGtW0eTJ+vEas+Mh7S0NGkC2fTp02tra6WdTSZbHcm335KVFQE0Z46Q8o3obtBoNAkJCba2tvNCQujxxykpqY11VlZScjLFxBBQAox62Kq4uLi7d+82PLyiokLfZHp7ex84cKCN9baISkUJCeTsTJs26cSqraWhQykkhBITycWFnnqKkpOpTgxDOXHihGRVXFycfvaOPtl677335H4fRrB5s0C3jO7HysnJUY8fr1tH/Pnnyaj+iDNnaOZMcnHRvRwg4Me6IRYeHh67du1q7qU//vhjSEiIJN+kSZNu375tbOTN8eABLVtGbm66iN58UycWEWVmUpcuFB9PPXrong0Opl27DNXr5MmT3bp1AzBt2jS9VU0mW6ZC79batTKX3KYO0tpaSkoiV1cCyM6OEhKo5f6I0lJKTKRBgxr61PAnFJg4cWJxcXHL1Wo0mhUrVkgNgLOzc2JiYq2xDcjDVFdTUhJ5e+sCCQuj1FQiolWr6o/ZsoWysqiqihIT6Te/0R1pSOuVkZEhrSczZcoUfX/N8ePHpZuDM2bMaGfwcrF7N0VG0qpV5OtL5eVERGo1BQZSaiq90mDk7Jgx9V0whtCOnvfCQnr1Vd0nPWhQs9XOmKH7p2jmR21js+Vf/zK82mvXrsXExEhN14gRI3Kkb1szEq2WkpPJ11cXRWCgQfPQG+k1YEBLeq1evVqhULz00kt6q/TJ1htvvGEmVknU1tLKleTrSzNnEhGpVOTpSQcP0oQJ9cdERJBRl0/tvqWzZw95eRFAVlY0axbp+yOkD66ggBSKFqyi6Gi6fr0N1SYnJ0uj2Lp27ZqQkGB4f0Rtbe3u3T8GBOjq79+ftm41LnN68IBWrarXa+zYH3fu3NmkKPv27dMHduLECem02DDZMh9WrqT4eBo0iE6dMhOxiOjePZo5U3f9unIlFRTQ2LE0ZAgFBdGUKfXNQqOfrl0pIYHa8RGXlpa++eabUtNlYH9ESkpKSEiItbW1p+dVLy9KTKQ2d5BJrVevXhQSMgZAYGBgUlJSc8bok62pU6eaoVVEtHIlLVhAaWkUHEx37+rEcnamwYN1P926dbxYEqdO0eTJVF1Nw4bV9/wsWkShoU1YFRZGbTqFPYpSqZRm0rXcH5GWljZ8+HDJwp49e65fn1olx4IGlZX05Zere/Xqpfd7+/btjVovfbI1efJks705JolFRFOn0hdfmEmL1ZD8fPL2rt/UaMjJiZ5+ul4pKytauLCVZN9IGnbhent7Hzx4sOGzmZmZkyZNkv7wrq6uCQkJFRUVMtZORFVVVUlJSfphLVLrJTl07tw5FxcXABMnTjTVhBlD0ItVVEQ+PmYo1smT1GgaU79+9PXXOqt69CBh9xzPnTs3ePDghv0Rly5devXVV6VRAw4ODnPmzCmXLnvE0EivgICABQsWSEP2JkyYYM5WUQOxiGjNGjMU69o18vWt39RqycWFVCo6dYri40mW00/zaDSaRYsWSTdPHBwcpDbMzs7u/fffLykpEVq1nqqqqjVr1uhvsAIYP358w1XXzJPKSvriCzp+nGpqqLaWysuppoYatuxqtXH5sNxj3okQEoIFCzB6NAAkJWHLFuzbJ2cVLfLuu++mp6fX1NR07949LS0tKCho0KBBH374oT4N6hiqq6vXrVtXXFzs5uYWFxdnbW2KhYSM4fZteHiga1eUlcHGRo4S5Vaf6NIlCg2lmBiKiKDw8Lb1JrSZYcOGATh69KhKpSopKRk4cCCAs2fPdmQMv0T+8x8C6NlnZStQwJj3fv1w+jRKS2FpibrlFTsMtVoNwMHBwd7e3t7eXtrUz4RhmkOpBICICNkKFDaZoql5Jh1AI5NYLAM5cgQAIiNlK7CzTbFXqVQApDsnYLEMo6AAublwdERQkGxldjaxGplUUVEBFqs1UlMBIDwcTU3AbiOdWazq6mqNRmNtbS0N1GSaQ/YEC51MLI1Go9ForKyspMt76bTIzVWryJ5goZOJxZl7G7h8GTduwN0d8n7RXaeaYs9itYHTpw+MGJHTv/9YhULOdVY7lVgOFRUp4eGaup4O6wcPPggKsjHga5V+zezdu/7YseSXXrIF/iBjsZ1KLEeVauTRoxg4UNr0uX9/0dmz4BareYjo2LFjACLlzbA6WY4FtRpAvUmNNplHuHDhQlFRkaenp6/c62F2RrHqekdZrFY5cuQIgKioKNlL7lxiqVQAt1hGoFQqAUTI24UFoLOJxadCY9BqtWlpaRCQYIHF+jWTnp5eXl7u5+cnYrAai/XrRUqwhgwZMmrUqBs3bshb+K9ALH0uzzyMJFZubu7BgwfDw8OvX78uY+GdWqxGuTzzMDNmzJg2bdrGjRtDQ0OvXr06bNiwq1evylV45xLL3R3BwdCvdc6nwuYpLCx85pln1q9f/8QTTxw8ePC3v/3t9evXIyIicnNzZSm/M36BQFoaLlyAuzuionTnQbOfy9DBFBcXR0ZGqlSqI0eOeHt7A1Cr1c8///zRo0c9PDxSU1MfXbTMWDpXiwVgxgx88QUcHJCZieBg3LrFVj1Kly5d7O3t8/LyIiIirl27BsDe3n7Pnj2RkZGFhYWRkZHZ2dntrUO2aRnmwIkTFBxcv8THl19SXJxJAzJfysvLw8LCAHh5eeXWLVioUqmkPi0PD4+8S5faU37narG+/x4jR0Kh0G1GR0OO71rulDg6Oh4+fFi6GNSnVlK7FR0d/efevb0iI3HhQpvL71xiaTRo+L2P1taorjZdNOaOpFFERERBQcGwYcMuXrwIoGvXrrt27frAzU1x6xaionD+fNsK71xi9e+Pc+fqNzMy0O4ktHMjuRUVFSWlVllZWQBsbW0ttm/HCy+gpATh4W1s9eU4X5sNNTUUFERLl1JeHqWmUr9+dPq0qWP6BaBWq0eOHAng88hI0n8bWVUVSYvNOjm14WPsXGIRUUkJxcfT739Pb79NPLPeYCoqKtbExZGdHbm51a8IVFNDL79MADk60smTRhXY6cRi2kxVFb3wAgHk7Fy/ZFFNDcXGEkD29lS3+L4hdMYOUqbNVFfjxRexcyecnHDgAEJDAUCrxdSp+Pe/0a0bcnPh7m5ISSwW8zAaDV58ETt2wNERBw4gLAwAtFpMn44hQ/DHPxpYDIvFPIJWi2nTsGkT7O2xZw/Cw9tQBovFNIVWi7g4bNgAe3vs3q2bfq9WY+VKZGbC3R2vv66fDdUknasfi5ELS0usW4fXXoNaresj1WoxYgSsrfHZZxgzBlOm4NSpFgrgFotpntpa7N+PMWMA4L//xdq12L1b99S2bdi4Ed9919xLucVimsfCQmcVgJ9+wqBB9U8FB+PixZZeKjIuphNha4uqqvrNykrY2bVwOIvFGEZoKA4fhj5xSknR9UQ0A+dYjMHExkKtxsSJyM1FcjIOHEDzC66wWIzBEOHoUZw/jx49MHo0undv4VgWixEC51iMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLEYIbBYjBBYLEYILBYjBBaLEQKLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixECi8UIgcVihMBiMUJgsRghsFiMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLEYIbBYjBBYLEYILBYjBBaLEQKLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixHC/wH23wZW1AYwMwAAAV96VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAASAWBOIGRnYHDSDNzMzuYAGiGZnZIAIscAmGDBDNxMgGYTAzcjCAZZhgKhE0VAGCAVHJAtfBYAKkGZlY2BgSQAxmDgYFIM3EzcCZwMCVwMCtwMicwMiewMScwcTEosDEkcDCqsDKpsHEzpHAzpXBxMGZwcTNo8HEzcvAy8/CyMfPIMLEysDJwc7FysjMxMEufgpkKtyTBVs69tcuqdwD4hjWX7cvijByALFXtBg7fIpSsgexVdc6OvzvZAeLWzJXODxKv7oPxD7FmOBQ7PB+P4it6zDJ4dNjqwMgdsN7RfvDm2+D9UqtW2l/cvNROxB7yaweuzgFfbD6N8ci9tt83g1Ws6BW8oBbsClYvHSp7IETtrxgc4wrsw6wyR+3BbHFfU4c8NsZBjbH79z8A5c7JMDqxQCWzE5ZXiCBUgAAAcp6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9lE1uGzEMhfc+hS5ggX+ixEUXsZ0GQZAx0LrZFkE3zaarIOcvqcCRggrVjDEj6SNH75EwvdXnn79+P7/8OexSjG+nh5fX9DHotPN1+M9tZumJAWD3mOIlHW7v7rd0vNwcrivH84/t8j2hJqwe49dn9uZyfryuYNrSHjNoA6hpDxmwEHtYhj5GLDmJWRsXtUS5NlVpC47T0bcbiFXybWWh2P6HE8/HGUjR2AMQa7VVvtK5VgtaP6Cgn3UFqn+YcwFAsNDU1LDIAqzpnCSXCsyS9pSNAJUXYPOMoYCKomuvqEIrzpzDHBipb3NTXFqI0BNSFcWuRZtAW2lBdNKBJlpb8eTixuvKRqQgKbM1ciM9pkJjoBXKLtxRcUXUlZPX3XSFSmTlrMoqXYpXk5aaSpCaqRh1KQTmxq9Ijc9LNmML4yEXK41X8m+306cufe/bw3k7jb4V/+HUnX2OowsxLhrdJsGMpoppG60jHiGjQdCnZbRB7NqoNnq8TkUlT1Cn0omH2FSgmI+jeRkkksxmU2DIk6nYV2QyDwP05/Hr3ZeRLM4auM7ezU7F/Prv4O+7v6tw2QyL6NEqAAABZnpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF2QvU4DQQyEX4UySBvLP7te70VIQWlSkfSIAk4pEOKCQqDKw+OlW3d384093tkdnnfb7Z5fdquHw/1C88zPy/5lmVdPOxdmnunutlorcGncEgJj00Zps87QmjRJa4TSiom5JqAqWtyGrTLX7mOQZj7qvoomyP9aVmFO/sGozRUCVEPqLqTCUl1DsKzVSiK3m2jaIPhYUXKlkmZfReCk1MRQTT15I4Cs1Fwgqn4Tg2FuNfXRPiBgtXDPyeSJ1pWCSB5NYP4035GhVBTp5zVG0h7Tc8W3iCn167yJmpVq36SW0Szdp9fr+fN4OX9NCN8/b1/n+eN0hcej/56W3/fLefk8LVeQiUZMAfOIecA2yYgl4DziHHAZcQlYR6wB1xHXgG3EFnAbcQuYQm2E0RCLG5srE4XqaOxOJwrlkURDqI9ifxQKpNDg7Q+iY/lasrzQ8gAAAABJRU5ErkJggg==\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/&gt;</td>\n",
-       "      <td>&lt;img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/&gt;</td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
-       "      <td>...</td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
-       "      <td>0</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
+       "      <td></td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.723961</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.488854</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 21 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "  subpocket                            smiles  \\\n",
-       "0        AP                 Nc1c[nH]c2ncccc12   \n",
-       "1        AP  N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1   \n",
-       "2        AP                    Cc1cc(N)[nH]n1   \n",
-       "3        AP                     Nc1ncc(C=O)s1   \n",
-       "4        AP     COCC(=O)n1cc2[nH]nc(NC=O)c2c1   \n",
-       "\n",
-       "                                               ROMol  \\\n",
-       "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "\n",
-       "                                         ROMol_dummy  \\\n",
-       "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
-       "\n",
-       "                                      ROMol_original kinase family  group  \\\n",
-       "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
-       "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "\n",
-       "  complex_pdb ligand_pdb  ... chain  \\\n",
-       "0        5l4q        LKB  ...     A   \n",
-       "1        5te0        XIN  ...     A   \n",
-       "2        2f4j        VX6  ...     A   \n",
-       "3        2gqg        1N1  ...     A   \n",
-       "4        2v7a        627  ...     B   \n",
-       "\n",
-       "                                     atom_subpockets  \\\n",
-       "0  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...   \n",
-       "1  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
-       "2          AP AP AP AP AP AP AP AP AP AP AP AP AP SE   \n",
-       "3                AP AP AP AP AP AP AP AP AP AP GA SE   \n",
-       "4  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
-       "\n",
-       "                                   atom_environments  \\\n",
-       "0   16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na   \n",
-       "1  7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...   \n",
-       "2                5 5 14 14 14 14 14 14 14 8 8 8 8 na   \n",
-       "3                    14 14 14 6 5 5 14 14 14 6 na na   \n",
-       "4  8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...   \n",
-       "\n",
-       "                                      smiles_dummy fragment_count  \\\n",
-       "0                    [11*]c1cnc2[nH]cc(N[27*])c2c1              3   \n",
-       "1     [12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1              3   \n",
-       "2                              [22*]Nc1cc(C)n[nH]1              9   \n",
-       "3                        [15*]Nc1ncc(C([41*])=O)s1             17   \n",
-       "4  [8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12              3   \n",
-       "\n",
-       "   connections connections_name bool_ro3  bool_qed       qed  \n",
-       "0     [FP, SE]   [AP=FP, AP=SE]        1         1  0.565900  \n",
-       "1     [SE, GA]   [AP=SE, AP=GA]        1         1  0.747185  \n",
-       "2         [SE]          [AP=SE]        1         0  0.488854  \n",
-       "3     [GA, SE]   [AP=GA, AP=SE]        1         1  0.561340  \n",
-       "4     [SE, FP]   [AP=SE, AP=FP]        0         1  0.723961  \n",
-       "\n",
-       "[5 rows x 21 columns]"
+       "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 91,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "fragment_library[\"AP\"].head()\n",
+    "HTML(fragment_library[\"AP\"].head().to_html(notebook=True))\n",
     "# NBVAL_CHECK_OUTPUT"
    ]
   },
@@ -1275,18 +1090,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 40,
    "id": "c64b76c9-7c7d-41c1-9ecf-e2227498d280",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_110572/392511540.py:10: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
-      "  num_fragments_qed.append(num_fragments_qed.sum().rename(\"Total\"))\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -1312,73 +1119,66 @@
        "      <th>accepted_qed</th>\n",
        "      <th>rejected_qed</th>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>subpocket</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>875</td>\n",
-       "      <td>126</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>1064</td>\n",
+       "      <td>137</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>579</td>\n",
-       "      <td>283</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>759</td>\n",
+       "      <td>341</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>443</td>\n",
-       "      <td>163</td>\n",
+       "      <td>743</td>\n",
+       "      <td>550</td>\n",
+       "      <td>193</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>199</td>\n",
-       "      <td>107</td>\n",
+       "      <td>355</td>\n",
+       "      <td>234</td>\n",
+       "      <td>121</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
+       "      <td>47</td>\n",
+       "      <td>25</td>\n",
        "      <td>22</td>\n",
-       "      <td>20</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>23</td>\n",
-       "      <td>19</td>\n",
+       "      <td>59</td>\n",
+       "      <td>33</td>\n",
+       "      <td>26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2141</td>\n",
-       "      <td>718</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>2665</td>\n",
+       "      <td>840</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "           pre_filtered  accepted_qed  rejected_qed\n",
-       "subpocket                                          \n",
-       "AP                 1001           875           126\n",
-       "FP                  862           579           283\n",
-       "SE                  606           443           163\n",
-       "GA                  306           199           107\n",
-       "B1                   42            22            20\n",
-       "B2                   42            23            19\n",
-       "Total              2859          2141           718"
+       "       pre_filtered  accepted_qed  rejected_qed\n",
+       "AP             1201          1064           137\n",
+       "FP             1100           759           341\n",
+       "SE              743           550           193\n",
+       "GA              355           234           121\n",
+       "B1               47            25            22\n",
+       "B2               59            33            26\n",
+       "Total          3505          2665           840"
       ]
      },
-     "execution_count": 92,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1393,7 +1193,12 @@
     "    ],\n",
     "    axis=1,\n",
     ")\n",
-    "num_fragments_qed.append(num_fragments_qed.sum().rename(\"Total\"))\n",
+    "num_fragments_qed = pd.concat(\n",
+    "    [num_fragments_qed,\n",
+    "     num_fragments_qed.sum().rename(\"Total\").to_frame().T],\n",
+    "     axis=0\n",
+    ")\n",
+    "num_fragments_qed\n",
     "# NBVAL_CHECK_OUTPUT"
    ]
   },
@@ -1421,7 +1226,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 41,
    "id": "2ee5ec2d-4520-4b85-9ead-06ce2f2e95dc",
    "metadata": {},
    "outputs": [],
@@ -1433,7 +1238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 42,
    "id": "4346069b-b2bf-4d18-a0e9-53f53ca3b7ce",
    "metadata": {},
    "outputs": [
@@ -1442,75 +1247,75 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_9fd43\">\n",
+       "<table id=\"T_1e687\">\n",
        "  <caption>drug likeness filters</caption>\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_9fd43_level0_col0\" class=\"col_heading level0 col0\" >pre-filtered</th>\n",
-       "      <th id=\"T_9fd43_level0_col1\" class=\"col_heading level0 col1\" >accepted by 2</th>\n",
-       "      <th id=\"T_9fd43_level0_col2\" class=\"col_heading level0 col2\" >accepted by 1</th>\n",
-       "      <th id=\"T_9fd43_level0_col3\" class=\"col_heading level0 col3\" >accepted by 0</th>\n",
+       "      <th id=\"T_1e687_level0_col0\" class=\"col_heading level0 col0\" >pre-filtered</th>\n",
+       "      <th id=\"T_1e687_level0_col1\" class=\"col_heading level0 col1\" >accepted by 2</th>\n",
+       "      <th id=\"T_1e687_level0_col2\" class=\"col_heading level0 col2\" >accepted by 1</th>\n",
+       "      <th id=\"T_1e687_level0_col3\" class=\"col_heading level0 col3\" >accepted by 0</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_9fd43_level0_row0\" class=\"row_heading level0 row0\" >AP</th>\n",
-       "      <td id=\"T_9fd43_row0_col0\" class=\"data row0 col0\" >1001</td>\n",
-       "      <td id=\"T_9fd43_row0_col1\" class=\"data row0 col1\" >456</td>\n",
-       "      <td id=\"T_9fd43_row0_col2\" class=\"data row0 col2\" >479</td>\n",
-       "      <td id=\"T_9fd43_row0_col3\" class=\"data row0 col3\" >66</td>\n",
+       "      <th id=\"T_1e687_level0_row0\" class=\"row_heading level0 row0\" >AP</th>\n",
+       "      <td id=\"T_1e687_row0_col0\" class=\"data row0 col0\" >1201</td>\n",
+       "      <td id=\"T_1e687_row0_col1\" class=\"data row0 col1\" >541</td>\n",
+       "      <td id=\"T_1e687_row0_col2\" class=\"data row0 col2\" >588</td>\n",
+       "      <td id=\"T_1e687_row0_col3\" class=\"data row0 col3\" >72</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9fd43_level0_row1\" class=\"row_heading level0 row1\" >FP</th>\n",
-       "      <td id=\"T_9fd43_row1_col0\" class=\"data row1 col0\" >862</td>\n",
-       "      <td id=\"T_9fd43_row1_col1\" class=\"data row1 col1\" >414</td>\n",
-       "      <td id=\"T_9fd43_row1_col2\" class=\"data row1 col2\" >404</td>\n",
-       "      <td id=\"T_9fd43_row1_col3\" class=\"data row1 col3\" >44</td>\n",
+       "      <th id=\"T_1e687_level0_row1\" class=\"row_heading level0 row1\" >FP</th>\n",
+       "      <td id=\"T_1e687_row1_col0\" class=\"data row1 col0\" >1100</td>\n",
+       "      <td id=\"T_1e687_row1_col1\" class=\"data row1 col1\" >546</td>\n",
+       "      <td id=\"T_1e687_row1_col2\" class=\"data row1 col2\" >507</td>\n",
+       "      <td id=\"T_1e687_row1_col3\" class=\"data row1 col3\" >47</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9fd43_level0_row2\" class=\"row_heading level0 row2\" >SE</th>\n",
-       "      <td id=\"T_9fd43_row2_col0\" class=\"data row2 col0\" >606</td>\n",
-       "      <td id=\"T_9fd43_row2_col1\" class=\"data row2 col1\" >354</td>\n",
-       "      <td id=\"T_9fd43_row2_col2\" class=\"data row2 col2\" >235</td>\n",
-       "      <td id=\"T_9fd43_row2_col3\" class=\"data row2 col3\" >17</td>\n",
+       "      <th id=\"T_1e687_level0_row2\" class=\"row_heading level0 row2\" >SE</th>\n",
+       "      <td id=\"T_1e687_row2_col0\" class=\"data row2 col0\" >743</td>\n",
+       "      <td id=\"T_1e687_row2_col1\" class=\"data row2 col1\" >439</td>\n",
+       "      <td id=\"T_1e687_row2_col2\" class=\"data row2 col2\" >285</td>\n",
+       "      <td id=\"T_1e687_row2_col3\" class=\"data row2 col3\" >19</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9fd43_level0_row3\" class=\"row_heading level0 row3\" >GA</th>\n",
-       "      <td id=\"T_9fd43_row3_col0\" class=\"data row3 col0\" >306</td>\n",
-       "      <td id=\"T_9fd43_row3_col1\" class=\"data row3 col1\" >182</td>\n",
-       "      <td id=\"T_9fd43_row3_col2\" class=\"data row3 col2\" >113</td>\n",
-       "      <td id=\"T_9fd43_row3_col3\" class=\"data row3 col3\" >11</td>\n",
+       "      <th id=\"T_1e687_level0_row3\" class=\"row_heading level0 row3\" >GA</th>\n",
+       "      <td id=\"T_1e687_row3_col0\" class=\"data row3 col0\" >355</td>\n",
+       "      <td id=\"T_1e687_row3_col1\" class=\"data row3 col1\" >206</td>\n",
+       "      <td id=\"T_1e687_row3_col2\" class=\"data row3 col2\" >134</td>\n",
+       "      <td id=\"T_1e687_row3_col3\" class=\"data row3 col3\" >15</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9fd43_level0_row4\" class=\"row_heading level0 row4\" >B1</th>\n",
-       "      <td id=\"T_9fd43_row4_col0\" class=\"data row4 col0\" >42</td>\n",
-       "      <td id=\"T_9fd43_row4_col1\" class=\"data row4 col1\" >20</td>\n",
-       "      <td id=\"T_9fd43_row4_col2\" class=\"data row4 col2\" >21</td>\n",
-       "      <td id=\"T_9fd43_row4_col3\" class=\"data row4 col3\" >1</td>\n",
+       "      <th id=\"T_1e687_level0_row4\" class=\"row_heading level0 row4\" >B1</th>\n",
+       "      <td id=\"T_1e687_row4_col0\" class=\"data row4 col0\" >47</td>\n",
+       "      <td id=\"T_1e687_row4_col1\" class=\"data row4 col1\" >23</td>\n",
+       "      <td id=\"T_1e687_row4_col2\" class=\"data row4 col2\" >23</td>\n",
+       "      <td id=\"T_1e687_row4_col3\" class=\"data row4 col3\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9fd43_level0_row5\" class=\"row_heading level0 row5\" >B2</th>\n",
-       "      <td id=\"T_9fd43_row5_col0\" class=\"data row5 col0\" >42</td>\n",
-       "      <td id=\"T_9fd43_row5_col1\" class=\"data row5 col1\" >22</td>\n",
-       "      <td id=\"T_9fd43_row5_col2\" class=\"data row5 col2\" >19</td>\n",
-       "      <td id=\"T_9fd43_row5_col3\" class=\"data row5 col3\" >1</td>\n",
+       "      <th id=\"T_1e687_level0_row5\" class=\"row_heading level0 row5\" >B2</th>\n",
+       "      <td id=\"T_1e687_row5_col0\" class=\"data row5 col0\" >59</td>\n",
+       "      <td id=\"T_1e687_row5_col1\" class=\"data row5 col1\" >29</td>\n",
+       "      <td id=\"T_1e687_row5_col2\" class=\"data row5 col2\" >30</td>\n",
+       "      <td id=\"T_1e687_row5_col3\" class=\"data row5 col3\" >0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_9fd43_level0_row6\" class=\"row_heading level0 row6\" >Total</th>\n",
-       "      <td id=\"T_9fd43_row6_col0\" class=\"data row6 col0\" >2859</td>\n",
-       "      <td id=\"T_9fd43_row6_col1\" class=\"data row6 col1\" >1448</td>\n",
-       "      <td id=\"T_9fd43_row6_col2\" class=\"data row6 col2\" >1271</td>\n",
-       "      <td id=\"T_9fd43_row6_col3\" class=\"data row6 col3\" >140</td>\n",
+       "      <th id=\"T_1e687_level0_row6\" class=\"row_heading level0 row6\" >Total</th>\n",
+       "      <td id=\"T_1e687_row6_col0\" class=\"data row6 col0\" >3505</td>\n",
+       "      <td id=\"T_1e687_row6_col1\" class=\"data row6 col1\" >1784</td>\n",
+       "      <td id=\"T_1e687_row6_col2\" class=\"data row6 col2\" >1567</td>\n",
+       "      <td id=\"T_1e687_row6_col3\" class=\"data row6 col3\" >154</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fbff2cd7250>"
+       "<pandas.io.formats.style.Styler at 0x7f09a4154bb0>"
       ]
      },
-     "execution_count": 94,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1535,15 +1340,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 43,
    "id": "ba548049-9271-4467-820e-c842b86eedcc",
    "metadata": {},
    "outputs": [
     {
      "data": {
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LAAAAAABAGZQsAAAAAAAAZVCyAAAAAAAAlEHJAgAAAAAAUAYlCwAAAAAAQBmULAAAAAAAAGVQsgAAAAAAAJRByQIAAAAAAFAGJQsAAAAAAEAZlCwAAAAAAABlULIAAAAAAACUQckCAAAAAABQBiULAAAAAABAGZQsAAAAAAAAZVCyAAAAAAAAlEHJAgAAAAAAUAYlCwAAAAAAQBmULAAAAAAAAGVQsgAAAAAAAJRByQIAAAAAAFAGJQsAAAAAAEAZlCwAAAAAAABlULIAAAAAAACUQckCAAAAAABQBiULAAAAQAU8+OCDOeqoo1JbW5tCoZDbbrutwf5isZiJEyemtrY2nTp1ytChQ/PMM880WLNixYqMGTMmvXv3TpcuXXL00Ufn5ZdfbsFPAQCtm5IFAAAAoAKWLVuWffbZJ1dcccVG90+dOjWXXHJJrrjiijz++OOpqanJYYcdltdee620ZuzYsbn11ltz00035aGHHsrSpUtz5JFHZs2aNS31MQCgVWtX6QEAAAAAWqNRo0Zl1KhRG91XLBZz2WWX5fzzz89xxx2XJLn22mtTXV2dG2+8Maeddlrq6uoyffr0XH/99Rk+fHiS5IYbbkjfvn1zzz33ZOTIkS32WQCgtXImCwAAAMAWZu7cuVmwYEFGjBhR2lZVVZUhQ4bk4YcfTpLMnj07q1atarCmtrY2AwcOLK3ZmBUrVmTJkiUNHgBAeZQsAAAAAFuYBQsWJEmqq6sbbK+uri7tW7BgQTp06JAePXpscs3GTJ48Od27dy89+vbt28TTA0DroWQBAAAA2EIVCoUGz4vF4gbb3uzt1kyYMCF1dXWlx0svvdQkswJAa+SeLAAAAABbmJqamiRvnK3Sp0+f0vaFCxeWzm6pqanJypUrs3jx4gZnsyxcuDCDBw/e5LGrqqpSVVXVTJMDbFkWLVpU6RHeUufOndO9e/dKj8E7oGQBAAAA2ML0798/NTU1mTlzZvbbb78kycqVK/PAAw9kypQpSZL9998/7du3z8yZMzN69Ogkyfz58/P0009n6tSpFZsdYEvQZfmqrE1yyy23VHqUt9SmfbucdcaZipatmJIFAAAAoAKWLl2a559/vvR87ty5mTNnTnr27Jkdd9wxY8eOzaRJkzJgwIAMGDAgkyZNSufOnXP88ccnSbp3755TTjkl48ePT69evdKzZ8+ce+652WuvvTJ8+PBKfSyALULHVWvSJsltB/bLom4dKz3ORvVe8nqOeXRe6uvrlSxbMSULAAAAQAXMmjUrw4YNKz0fN25ckuTEE0/MjBkzct5552X58uU5/fTTs3jx4hxwwAG5++6707Vr19JrLr300rRr1y6jR4/O8uXLc+ihh2bGjBlp27Zti38egC3Rom4ds6Bn50qPwbuYkgUAAACgAoYOHZpisbjJ/YVCIRMnTszEiRM3uaZjx46ZNm1apk2b1gwTAgBvp02lBwAAAAAAANgaKVkAAAAAAADKoGQBAAAAAAAog5IFAAAAAACgDEoWAAAAAACAMjS6ZLn22mvz61//uvT8vPPOy7bbbpvBgwfnxRdfbNLhAADeTBYBACpJFgEA1tfokmXSpEnp1KlTkuSRRx7JFVdckalTp6Z3794555xzmnxAAID1ySIAQCXJIgDA+to19gUvvfRSdtlllyTJbbfdlo997GP53Oc+l4MPPjhDhw5t6vkAABqQRQCASpJFAID1NfpMlm222SavvvpqkuTuu+/O8OHDkyQdO3bM8uXLm3Y6AIA3kUUAgEqSRQCA9TX6TJbDDjssn/3sZ7PffvvlT3/6U4444ogkyTPPPJN+/fo19XwAAA3IIgBAJckiAMD6Gn0my5VXXpmDDjoof//733PzzTenV69eSZLZs2fnk5/8ZJMPCACwPlkEAKgkWQQAWF+jz2RZsmRJLr/88rRp07CfmThxYl566aUmGwwAYGNkEQCgkmQRAGB9jT6TpX///lm0aNEG2//xj3+kf//+TTIUAMCmyCIAQCXJIgDA+hpdshSLxY1uX7p0aTp27NioY02ePDnvf//707Vr12y//fY55phj8txzz23wfhMnTkxtbW06deqUoUOH5plnnmmwZsWKFRkzZkx69+6dLl265Oijj87LL7/cuA8GAGwVmjKLPPjggznqqKNSW1ubQqGQ2267rcH+k046KYVCocHjwAMPbLBGDgGA1qUpswgAsPXb7MuFjRs3LklSKBRy4YUXpnPnzqV9a9asye9+97vsu+++jXrzBx54IGeccUbe//73Z/Xq1Tn//PMzYsSI/OEPf0iXLl2SJFOnTs0ll1ySGTNmZNddd83Xv/71HHbYYXnuuefStWvXJMnYsWNz++2356abbkqvXr0yfvz4HHnkkZk9e3batm3bqJkAgC1Tc2SRZcuWZZ999snJJ5+cj370oxtd8+EPfzjXXHNN6XmHDh0a7JdDAKB1aI4sAgBs/Ta7ZPn973+f5I1vbDz11FMN/sDQoUOH7LPPPjn33HMb9eZ33nlng+fXXHNNtt9++8yePTsf/OAHUywWc9lll+X888/PcccdlyS59tprU11dnRtvvDGnnXZa6urqMn369Fx//fUZPnx4kuSGG25I3759c88992TkyJGNmgkA2DI1RxYZNWpURo0a9ZZrqqqqUlNTs9F9cggAtB7NkUUAgK3fZpcs9913X5Lk5JNPzne/+91069atyYepq6tLkvTs2TNJMnfu3CxYsCAjRoworamqqsqQIUPy8MMP57TTTsvs2bOzatWqBmtqa2szcODAPPzwwxv948aKFSuyYsWK0vMlS5Y0+WcBAJpWS2SRjbn//vuz/fbbZ9ttt82QIUPyjW98I9tvv32SlJVDElkEaBobuyfElqZz587p3r17pceAJlGpLAIAbNk2u2RZZ/3LZTSlYrGYcePG5ZBDDsnAgQOTJAsWLEiSVFdXN1hbXV2dF198sbSmQ4cO6dGjxwZr1r3+zSZPnpyLL764qT8CANACmiuLbMyoUaPy8Y9/PDvttFPmzp2bCy64IB/60Icye/bsVFVVlZVDElkEeGe6LF+VtUluueWWSo/yttq0b5ezzjhT0cK7SktmEQBgy9fokmXZsmX55je/mXvvvTcLFy7M2rVrG+z/y1/+UtYgZ555Zp588sk89NBDG+wrFAoNnheLxQ22vdlbrZkwYULpWqrJG98e7du3bxlTAwAtrbmyyMZ84hOfKP08cODADBo0KDvttFN+/etfly5lujFvl1VkEeCd6LhqTdokue3AflnUbcu9yXbvJa/nmEfnpb6+XsnCu0pLZhEAYMvX6JLls5/9bB544IGccMIJ6dOnz9uWHZtjzJgx+eUvf5kHH3wwO+ywQ2n7uuufL1iwIH369CltX7hwYenslpqamqxcuTKLFy9u8C3ShQsXZvDgwRt9v6qqqlRVVb3juQGAltccWWRz9enTJzvttFP+/Oc/JykvhySyCNA0FnXrmAU9O7/9QqBJVTKLAABbnkaXLHfccUd+/etf5+CDD37Hb14sFjNmzJjceuutuf/++9O/f/8G+/v375+amprMnDkz++23X5Jk5cqVeeCBBzJlypQkyf7775/27dtn5syZGT16dJJk/vz5efrppzN16tR3PCMAsGVpyizSWK+++mpeeuml0pc/5BAAaH0qmUUAgC1Po0uWHj16lG5M/06dccYZufHGG/OLX/wiXbt2LV27vHv37unUqVMKhULGjh2bSZMmZcCAARkwYEAmTZqUzp075/jjjy+tPeWUUzJ+/Pj06tUrPXv2zLnnnpu99torw4cPb5I5AYAtR1NmkaVLl+b5558vPZ87d27mzJmTnj17pmfPnpk4cWI++tGPpk+fPpk3b16+8pWvpHfv3jn22GOTyCEA0Bo1ZRYBALZ+bRr7gn//93/PhRdemPr6+nf85ldddVXq6uoydOjQ9OnTp/T46U9/Wlpz3nnnZezYsTn99NMzaNCgvPLKK7n77rvTtWvX0ppLL700xxxzTEaPHp2DDz44nTt3zu233562bdu+4xkBgC1LU2aRWbNmZb/99iudMTtu3Ljst99+ufDCC9O2bds89dRT+chHPpJdd901J554Ynbdddc88sgjcggAtGJNmUUAgK1fo89k+c53vpMXXngh1dXV6devX9q3b99g/xNPPLHZxyoWi2+7plAoZOLEiZk4ceIm13Ts2DHTpk3LtGnTNvu9AYCtU1NmkaFDh75lHrnrrrve9hhyCAC0Lk2ZRQCArV+jS5ZjjjmmGcYAANg8sggAUEmyCACwvkaXLBdddFFzzAEAsFlkEQCgkmQRAGB9jb4nS5L885//zA9/+MNMmDAh//jHP5K8cTrsK6+80qTDAQBsjCwCAFSSLAIArNPoM1mefPLJDB8+PN27d8+8efNy6qmnpmfPnrn11lvz4osv5rrrrmuOOQEAksgiAEBlySIAwPoafSbLuHHjctJJJ+XPf/5zOnbsWNo+atSoPPjgg006HADAm8kiAEAlySIAwPoaXbI8/vjjOe200zbY/i//8i9ZsGBBkwwFALApsggAUEmyCACwvkaXLB07dsySJUs22P7cc89lu+22a5KhAAA2RRYBACpJFgEA1tfokuUjH/lIvva1r2XVqlVJkkKhkL/+9a/58pe/nI9+9KNNPiAAwPpkEQCgkmQRAGB9jS5Zvv3tb+fvf/97tt9++yxfvjxDhgzJLrvskq5du+Yb3/hGc8wIAFAiiwAAlSSLAADra9fYF3Tr1i0PPfRQfvOb3+SJJ57I2rVr8773vS/Dhw9vjvkAtliLFi2q9Ahvq3PnzunevXulx4AmJYsAAJUkiwAA62t0ybLOhz70oXzoQx9qylkAtgpdlq/K2iS33HJLpUd5W23at8tZZ5ypaOFdSRYBACpJFgEAkjJLlsceeyz3339/Fi5cmLVr1zbYd8kllzTJYABbqo6r1qRNktsO7JdF3TpWepxN6r3k9Rzz6LzU19crWXjXkUUAgEqSRQCAdRpdskyaNClf/epXs9tuu6W6ujqFQqG0b/2fAd7tFnXrmAU9O1d6DGh1ZBEAoJJkEQBgfY0uWb773e/mRz/6UU466aRmGAcA4K3JIgBAJckiAMD62jT6BW3a5OCDD26OWQAA3pYsAgBUkiwCAKyv0WeynHPOObnyyitz2WWXNcM4sPWqq6tLfX19pcfYpEWLFlV6BIAmIYsAAJUkiwAA62t0yXLuuefmiCOOyM4775z3vve9ad++fYP9t9xyS5MNB1uLurq6XH7lFVm7anWlRwF415NFAIBKkkUAgPU1umQZM2ZM7rvvvgwbNiy9evVyUzdIUl9fn7WrVue2A/tlUbeOlR5no3aeX5dhT82v9BgA75gsAgBUkiwCAKyv0SXLddddl5tvvjlHHHFEc8wDW7VF3TpmQc/OlR5jo3oteb3SIwA0CVkEAKgkWQQAWF+jb3zfs2fP7Lzzzs0xCwDA25JFAIBKkkUAgPU1umSZOHFiLrrooi36Bt8AwLuXLAIAVJIsAgCsr9GXC7v88svzwgsvpLq6Ov369dvgBm9PPPFEkw0HAPBmsggAUEmyCACwvkaXLMccc0wzjAEAsHlkEQCgkmQRAGB9jS5ZLrroouaYAwBgs8giAEAlySIAwPoafU8WAAAAAAAAyjiTpUePHikUChtsLxQK6dixY3bZZZecdNJJOfnkk5tkQACA9ckiAEAlySIAwPoaXbJceOGF+cY3vpFRo0blAx/4QIrFYh5//PHceeedOeOMMzJ37tx84QtfyOrVq3Pqqac2x8wAQCsmiwAAlSSLAADra3TJ8tBDD+XrX/96Pv/5zzfY/h//8R+5++67c/PNN2fvvffO5ZdfLkwAAE1OFgEAKkkWAQDW1+h7stx1110ZPnz4BtsPPfTQ3HXXXUmSww8/PH/5y1/e+XQAAG8iiwAAlSSLAADra3TJ0rNnz9x+++0bbL/99tvTs2fPJMmyZcvStWvXdz4dAMCbyCIAQCXJIgDA+hp9ubALLrggX/jCF3LfffflAx/4QAqFQh577LH83//7f/P9738/STJz5swMGTKkyYcFAJBFAIBKkkUAgPU1+kyWU089NQ888EC6dOmSW265JT//+c/TuXPnPPDAAznllFOSJOPHj89Pf/rTJh8WAEAWAQAqqaWzyOrVq/PVr341/fv3T6dOnfKe97wnX/va17J27drSmmKxmIkTJ6a2tjadOnXK0KFD88wzzzTJ+wMAb63RZ7IkycEHH5yDDz64qWcBANgssggAUEktmUWmTJmS73//+7n22muz5557ZtasWTn55JPTvXv3nH322UmSqVOn5pJLLsmMGTOy66675utf/3oOO+ywPPfccy5bBgDNrKySZZ3ly5dn1apVDbZ169btHQ0EALC5ZBEAoJJaIos88sgj+chHPpIjjjgiSdKvX7/85Cc/yaxZs5K8cRbLZZddlvPPPz/HHXdckuTaa69NdXV1brzxxpx22mlNOg8A0FCjLxdWX1+fM888M9tvv3222Wab9OjRo8EDAKA5ySIAQCW1dBY55JBDcu+99+ZPf/pTkuS///u/89BDD+Xwww9PksydOzcLFizIiBEjSq+pqqrKkCFD8vDDDzf5PABAQ40uWb74xS/mN7/5Tb73ve+lqqoqP/zhD3PxxRentrY21113XXPMCABQIosAAJXU0lnkS1/6Uj75yU9m9913T/v27bPffvtl7Nix+eQnP5kkWbBgQZKkurq6weuqq6tL+95sxYoVWbJkSYMHAFCeRl8u7Pbbb891112XoUOH5jOf+Uz+z//5P9lll12y00475cc//nE+9alPNcecAABJZBEAoLJaOov89Kc/zQ033JAbb7wxe+65Z+bMmZOxY8emtrY2J554YmldoVBo8LpisbjBtnUmT56ciy++uEnnBIDWqtFnsvzjH/9I//79k7xxndF//OMfSd44ffXBBx9s2ukAAN5EFgEAKqmls8gXv/jFfPnLX86//uu/Zq+99soJJ5yQc845J5MnT06S1NTUJMkGZ60sXLhwg7Nb1pkwYULq6upKj5deeqnJ5waA1qLRJct73vOezJs3L0ny3ve+Nz/72c+SvPFNjm233bYpZwMA2IAsAgBUUktnkfr6+rRp0/DPN23bts3atWuTJP37909NTU1mzpxZ2r9y5co88MADGTx48EaPWVVVlW7dujV4AADlafTlwk4++eT893//d4YMGZIJEybkiCOOyLRp07J69epccsklzTEjAECJLAIAVFJLZ5Gjjjoq3/jGN7Ljjjtmzz33zO9///tccskl+cxnPpPkjcuEjR07NpMmTcqAAQMyYMCATJo0KZ07d87xxx/f5PMAAA01umQ555xzSj8PGzYsf/zjHzNr1qzsvPPO2WeffZp0OACAN5NFAIBKauksMm3atFxwwQU5/fTTs3DhwtTW1ua0007LhRdeWFpz3nnnZfny5Tn99NOzePHiHHDAAbn77rvTtWvXJp8HAGioUSXLqlWrMmLEiPzHf/xHdt111yTJjjvumB133LFZhgMAWJ8sAgBUUiWySNeuXXPZZZflsssu2+SaQqGQiRMnZuLEic02BwCwcY26J0v79u3z9NNPp1AoNNc8AACbJIsAAJUkiwAAb9boG99/+tOfzvTp05tjFgCAtyWLAACVJIsAAOtr9D1ZVq5cmR/+8IeZOXNmBg0alC5dujTY74azAEBzkkUAgEqSRQCA9TW6ZHn66afzvve9L0nypz/9qcE+p8sCAM1NFgEAKkkWAQDWt1kly5NPPpmBAwemTZs2ue+++5p7JgCABmQRAKCSZBEAYFM2654s++23XxYtWpQkec973pNXX321WYcCAFifLAIAVJIsAgBsymaVLNtuu23mzp2bJJk3b17Wrl3brEMBAKxPFgEAKkkWAQA2ZbMuF/bRj340Q4YMSZ8+fVIoFDJo0KC0bdt2o2v/8pe/NOmAAACyCABQSbIIALApm1WyXH311TnuuOPy/PPP56yzzsqpp56arl27NvdsAABJZBGArdm6SyxtqTp37pzu3btXegy2cLIIALApm1WyJMmHP/zhJMns2bNz9tlnCxMAQIuSRQC2Ll2Wr8raJLfcckulR3lLbdq3y1lnnKlo4W3JIgDAxmx2ybLONddc0xxzAABsFlkEYOvQcdWatEly24H9sqhbx0qPs1G9l7yeYx6dl/r6eiULm00WAQDW1+iSBQAAADbXom4ds6Bn50qPAQAAzaJNpQcAAAAAAADYGilZAAAAAAAAyrBZJcv73ve+LF68OEnyta99LfX19c06FADA+mQRAKCSZBEAYFM2q2R59tlns2zZsiTJxRdfnKVLlzbrUAAA65NFAIBKkkUAgE3ZrBvf77vvvjn55JNzyCGHpFgs5tvf/na22Wabja698MILm3RAAABZBACoJFkEANiUzSpZZsyYkYsuuii/+tWvUigUcscdd6Rduw1fWigUhAkAoMnJIgBAJckiAMCmbFbJsttuu+Wmm25KkrRp0yb33ntvtt9++2YdDABgHVkEAKgkWQQA2JTNKlnWt3bt2uaYAwBgs8giAEAlySIAwPoaXbIkyQsvvJDLLrsszz77bAqFQvbYY4+cffbZ2XnnnZt6PgCADcgiAEAlySIAwDptGvuCu+66K+9973vz2GOPZe+9987AgQPzu9/9LnvuuWdmzpzZHDMCAJTIIgBAJckiAMD6Gn0my5e//OWcc845+eY3v7nB9i996Us57LDDmmw4AIA3k0UAgEqSRQCA9TX6TJZnn302p5xyygbbP/OZz+QPf/hDkwwFALApsggAUEmyCACwvkaXLNttt13mzJmzwfY5c+Zk++23b9SxHnzwwRx11FGpra1NoVDIbbfd1mD/SSedlEKh0OBx4IEHNlizYsWKjBkzJr17906XLl1y9NFH5+WXX27sxwIAthJNmUUAABpLFgEA1tfoy4Wdeuqp+dznPpe//OUvGTx4cAqFQh566KFMmTIl48ePb9Sxli1bln322Scnn3xyPvrRj250zYc//OFcc801pecdOnRosH/s2LG5/fbbc9NNN6VXr14ZP358jjzyyMyePTtt27Zt7McDALZwTZlFAAAaSxYBANbX6JLlggsuSNeuXfOd73wnEyZMSJLU1tZm4sSJOeussxp1rFGjRmXUqFFvuaaqqio1NTUb3VdXV5fp06fn+uuvz/Dhw5MkN9xwQ/r27Zt77rknI0eObNQ8AMCWrymzCABAY8kiAMD6Gl2yFAqFnHPOOTnnnHPy2muvJUm6du3a5IOtc//992f77bfPtttumyFDhuQb3/hG6fTb2bNnZ9WqVRkxYkRpfW1tbQYOHJiHH354kyXLihUrsmLFitLzJUuWNNv8AEDTauksAgCwPlkEAFhfo+/Jsr6uXbs2a5AYNWpUfvzjH+c3v/lNvvOd7+Txxx/Phz70oVJBsmDBgnTo0CE9evRo8Lrq6uosWLBgk8edPHlyunfvXnr07du32T4DANB8mjuLAAC8FVkEAGj0mSwt6ROf+ETp54EDB2bQoEHZaaed8utf/zrHHXfcJl9XLBZTKBQ2uX/ChAkZN25c6fmSJUsULQAAAAAAQKO8ozNZWlqfPn2y00475c9//nOSpKamJitXrszixYsbrFu4cGGqq6s3eZyqqqp069atwQMAAAAAAKAxtqqS5dVXX81LL72UPn36JEn233//tG/fPjNnziytmT9/fp5++ukMHjy4UmMCAAAAAACtQKNKllWrVmXYsGH505/+1CRvvnTp0syZMydz5sxJksydOzdz5szJX//61yxdujTnnntuHnnkkcybNy/3339/jjrqqPTu3TvHHntskqR79+455ZRTMn78+Nx77735/e9/n3/7t3/LXnvtleHDhzfJjADAlqOpswgAQGPIIgDAmzXqnizt27fP008//Zb3O2mMWbNmZdiwYaXn6+6TcuKJJ+aqq67KU089leuuuy7//Oc/06dPnwwbNiw//elPG9xU7tJLL027du0yevToLF++PIceemhmzJiRtm3bNsmMAMCWo6mzCABAY8giAMCbNfpyYZ/+9Kczffr0JnnzoUOHplgsbvCYMWNGOnXqlLvuuisLFy7MypUr8+KLL2bGjBkb3KC+Y8eOmTZtWl599dXU19fn9ttvdxN7AHgXa8osAgDQWLIIALC+Rp3JkiQrV67MD3/4w8ycOTODBg1Kly5dGuy/5JJLmmw4AIA3k0UAgEqSRQCA9TW6ZHn66afzvve9L0k2uAap02UBgOYmiwAAlSSLAADra3TJct999zXHHAAAm0UWAQAqSRYBANbX6HuyrPP888/nrrvuyvLly5MkxWKxyYYCAHg7sggAUEmyCACQlFGyvPrqqzn00EOz66675vDDD8/8+fOTJJ/97Gczfvz4Jh8QAGB9sggAUEmyCACwvkaXLOecc07at2+fv/71r+ncuXNp+yc+8YnceeedTTocAMCbySIAQCXJIgDA+hp9T5a77747d911V3bYYYcG2wcMGJAXX3yxyQYDANgYWQQAqCRZBABYX6PPZFm2bFmDb2qss2jRolRVVTXJUAAAmyKLAACVJIsAAOtrdMnywQ9+MNddd13peaFQyNq1a/Otb30rw4YNa9LhAADeTBYBACpJFgEA1tfoy4V961vfytChQzNr1qysXLky5513Xp555pn84x//yG9/+9vmmBEAoEQWAQAqSRYBANbX6DNZ3vve9+bJJ5/MBz7wgRx22GFZtmxZjjvuuPz+97/Pzjvv3BwzAgCUyCIAQCXJIgDA+hp9JkuS1NTU5OKLL27qWQAANossAgBUkiwCAKxTVsmyePHiTJ8+Pc8++2wKhUL22GOPnHzyyenZs2dTzwcAsAFZBACoJFkEAFin0ZcLe+CBB9K/f/9cfvnlWbx4cf7xj3/k8ssvT//+/fPAAw80x4wAACWyCABQSbIIALC+Rp/JcsYZZ2T06NG56qqr0rZt2yTJmjVrcvrpp+eMM87I008/3eRDAgCsI4sAAJUkiwAA62v0mSwvvPBCxo8fXwoSSdK2bduMGzcuL7zwQpMOBwDwZk2ZRR588MEcddRRqa2tTaFQyG233dZgf7FYzMSJE1NbW5tOnTpl6NCheeaZZxqsWbFiRcaMGZPevXunS5cuOfroo/Pyyy+X/fkAgC2bv4sAAOtrdMnyvve9L88+++wG25999tnsu+++TTETAMAmNWUWWbZsWfbZZ59cccUVG90/derUXHLJJbniiivy+OOPp6amJocddlhee+210pqxY8fm1ltvzU033ZSHHnooS5cuzZFHHpk1a9Y0ahYAYOvg7yIAwPo263JhTz75ZOnns846K2effXaef/75HHjggUmSRx99NFdeeWW++c1vNs+UAECr1lxZZNSoURk1atRG9xWLxVx22WU5//zzc9xxxyVJrr322lRXV+fGG2/Maaedlrq6ukyfPj3XX399hg8fniS54YYb0rdv39xzzz0ZOXJkOR8XANjC+LsIALApm1Wy7LvvvikUCikWi6Vt55133gbrjj/++HziE59ouukAAFKZLDJ37twsWLAgI0aMKG2rqqrKkCFD8vDDD+e0007L7Nmzs2rVqgZramtrM3DgwDz88MNKFgB4l/B3EQBgUzarZJk7d25zzwEAsEmVyCILFixIklRXVzfYXl1dnRdffLG0pkOHDunRo8cGa9a9fmNWrFiRFStWlJ4vWbKkqcYGAJqBv4sAAJuyWSXLTjvt1NxzAABsUiWzSKFQaPC8WCxusO3N3m7N5MmTc/HFFzfJfABA8/N3EQBgUzarZHmzV155Jb/97W+zcOHCrF27tsG+s846q0kGAwDYlJbIIjU1NUneOFulT58+pe0LFy4snd1SU1OTlStXZvHixQ3OZlm4cGEGDx68yWNPmDAh48aNKz1fsmRJ+vbt2yRzAwDNr6X/LvLKK6/kS1/6Uu64444sX748u+66a6ZPn579998/yRtf8Lj44otz9dVXZ/HixTnggANy5ZVXZs8992zyWQCAhhpdslxzzTX5/Oc/nw4dOqRXr14NvqVZKBSULABAs2qpLNK/f//U1NRk5syZ2W+//ZIkK1euzAMPPJApU6YkSfbff/+0b98+M2fOzOjRo5Mk8+fPz9NPP52pU6du8thVVVWpqqpqkjkBgJbV0n8XWbx4cQ4++OAMGzYsd9xxR7bffvu88MIL2XbbbUtrpk6dmksuuSQzZszIrrvumq9//es57LDD8txzz6Vr165NOg8A0FCjS5YLL7wwF154YSZMmJA2bdo0x0wAAJvUlFlk6dKlef7550vP586dmzlz5qRnz57ZcccdM3bs2EyaNCkDBgzIgAEDMmnSpHTu3DnHH398kqR79+455ZRTMn78+PTq1Ss9e/bMueeem7322ivDhw9/R7MBAFumlv67yJQpU9K3b99cc801pW39+vUr/VwsFnPZZZfl/PPPz3HHHZckufbaa1NdXZ0bb7wxp512WrPPCACtWaPTQH19ff71X/9VwQIAVERTZpFZs2Zlv/32K52pMm7cuOy333658MILkyTnnXdexo4dm9NPPz2DBg3KK6+8krvvvrvBN0IvvfTSHHPMMRk9enQOPvjgdO7cObfffnvatm37jucDALY8Lf13kV/+8pcZNGhQPv7xj2f77bfPfvvtlx/84Ael/XPnzs2CBQsyYsSI0raqqqoMGTIkDz/88EaPuWLFiixZsqTBAwAoT6MTwSmnnJL//M//bI5ZAADeVlNmkaFDh6ZYLG7wmDFjRpI3LvkxceLEzJ8/P6+//noeeOCBDBw4sMExOnbsmGnTpuXVV19NfX19br/9dvdXAYB3sZb+u8hf/vKXXHXVVRkwYEDuuuuufP7zn89ZZ52V6667Lskb949LUrpn3DrV1dWlfW82efLkdO/evfSQXQCgfI2+XNjkyZNz5JFH5s4778xee+2V9u3bN9h/ySWXNNlwAABvJosAAJXU0llk7dq1GTRoUCZNmpQk2W+//fLMM8/kqquuyqc//enSuvXvDZO8cRmxN29bZ8KECRk3blzp+ZIlSxQtAFCmRpcskyZNyl133ZXddtstSTa4wRsAQHOSRQCASmrpLNKnT5+8973vbbBtjz32yM0335wkqampSfLGGS19+vQprVm4cOEGZ7esU1VVlaqqqiafFQBao0aXLJdcckl+9KMf5aSTTmqGcQAA3posAgBUUktnkYMPPjjPPfdcg21/+tOfstNOOyVJ+vfvn5qamsycObN0n7mVK1fmgQceyJQpU1pkRgBozRpdslRVVeXggw9ujlkAAN6WLAIAVFJLZ5FzzjkngwcPzqRJkzJ69Og89thjufrqq3P11VcneePsmbFjx2bSpEkZMGBABgwYkEmTJqVz5845/vjjW2xOAGitGn3j+7PPPjvTpk1rjlkAAN6WLAIAVFJLZ5H3v//9ufXWW/OTn/wkAwcOzL//+7/nsssuy6c+9anSmvPOOy9jx47N6aefnkGDBuWVV17J3Xffna5du7bYnADQWjX6TJbHHnssv/nNb/KrX/0qe+655wY3eLvllluabDgAgDeTRQCASqpEFjnyyCNz5JFHbnJ/oVDIxIkTM3HixCZ/bwDgrTW6ZNl2221z3HHHNccsAABvSxYBACpJFgEA1tfokuWaa65pjjkAADaLLAIAVJIsAgCsr9H3ZAEAAAAAAKCMM1n69++fQqGwyf1/+ctf3tFAAABvRRYBACpJFgEA1tfokmXs2LENnq9atSq///3vc+edd+aLX/xiU80FALBRsggAUEmyCACwvkaXLGefffZGt1955ZWZNWvWOx4IAOCtyCIAQCXJIgDA+prsniyjRo3KzTff3FSHAwBoFFkEAKgkWQQAWqcmK1l+/vOfp2fPnk11OACARpFFAIBKkkUAoHVq9OXC9ttvvwY3eCsWi1mwYEH+/ve/53vf+16TDgcA8GayCABQSbIIALC+RpcsxxxzTIPnbdq0yXbbbZehQ4dm9913b6q5AAA2ShYBACpJFgEA1tfokuWiiy5qjjkAADaLLAIAVJIsAgCsr8nuyQIAAAAAANCabPaZLG3atGlwzdGNKRQKWb169TseCgDgzWQRAKCSZBEAYGM2u2S59dZbN7nv4YcfzrRp01IsFptkKACAN5NFAIBKkkUAgI3Z7JLlIx/5yAbb/vjHP2bChAm5/fbb86lPfSr//u//3qTDAQCsI4sAAJUkiwAAG1PWPVn+9re/5dRTT83ee++d1atXZ86cObn22muz4447NvV8AAAbkEUAgEqSRQCAdRpVstTV1eVLX/pSdtlllzzzzDO59957c/vtt2fgwIHNNR8AQIksAgBUkiwCALzZZl8ubOrUqZkyZUpqamryk5/8ZKOnyQIANBdZBACoJFkEANiYzS5ZvvzlL6dTp07ZZZddcu211+baa6/d6LpbbrmlyYYDAFhHFgEAKkkWAQA2ZrNLlk9/+tMpFArNOQsAwCbJIgBAJckiAMDGbHbJMmPGjGYcAwDgrckiAEAlySIAwMY06sb3AAAAAAAAvEHJAgAAAAAAUAYlCwAAAAAAQBmULAAAAAAAAGVQsgAAAAAAAJRByQIAAAAAAFAGJQsAAAAAAEAZlCwAAAAAAABlULIAAAAAAACUQckCAAAAAABQBiULAAAAAABAGZQsAAAAAAAAZVCyAAAAAAAAlEHJAgAAAAAAUIaKliwPPvhgjjrqqNTW1qZQKOS2225rsL9YLGbixImpra1Np06dMnTo0DzzzDMN1qxYsSJjxoxJ796906VLlxx99NF5+eWXW/BTAAAAAAAArVFFS5Zly5Zln332yRVXXLHR/VOnTs0ll1ySK664Io8//nhqampy2GGH5bXXXiutGTt2bG699dbcdNNNeeihh7J06dIceeSRWbNmTUt9DAAAAAAAoBVqV8k3HzVqVEaNGrXRfcViMZdddlnOP//8HHfccUmSa6+9NtXV1bnxxhtz2mm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",
       "text/plain": [
-       "<Figure size 2000x2200 with 5 Axes>"
+       "<Figure size 2000x2200 with 6 Axes>"
       ]
      },
      "metadata": {},
@@ -1552,7 +1357,7 @@
    ],
    "source": [
     "filters.plots.make_hists(\n",
-    "    fragment_library, \"qed\", \"QED\", plot_stats=False, cutoff=0.42\n",
+    "    fragment_library, \"qed\", \"QED\", plot_stats=True, cutoff=0.42\n",
     ")"
    ]
   },
diff --git a/notebooks/custom_kinfraglib/1_3_custom_filters_synthesizability.ipynb b/notebooks/custom_kinfraglib/1_3_custom_filters_synthesizability.ipynb
index d37abc3f..3a1083f8 100644
--- a/notebooks/custom_kinfraglib/1_3_custom_filters_synthesizability.ipynb
+++ b/notebooks/custom_kinfraglib/1_3_custom_filters_synthesizability.ipynb
@@ -167,7 +167,7 @@
     {
      "data": {
       "text/plain": [
-       "(7486, 15)"
+       "(9505, 15)"
       ]
      },
      "execution_count": 7,
@@ -255,15 +255,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -276,9 +276,9 @@
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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z+9/JTQa7eTJk6ampleuXNHS0vrrr7/wwWCbNm0KCQnprZSJickff/xx+PBhNzc3wXRnZ+eSkhKR70SRUHRhmZubCx62pq+vb2pqKt6qld5ITk4GARl1d3fjFEGp9Qdra+vIyEgKhbJ582ZPT08Wi+Xv7//f//73taUQQkKLtJ4/f670RwDL2xeLRkJCgrm5+ZdffimpCouLiwHA3Nycz+fjlOzsbACwtbUVr8L169fjH+ysWbP6eepERUWFjo6OYIq5uXlBQYF4BigISrbm3dLSsrGxcd++fStWrMCvjQcI9oPz58+nUl903tgPvv322+JVGB4ejsO7R0REMBiMfpbicrl79+4lLiXbJcsFRXeFQri5ua1cuZLD4eAzAQcOlpGg1yOkJl6FDAYDD/m7u7v7Xwo/PBKI17RiIe8uU2Tq6+uNjIzMzQcnJj4ZYFVNTU04rGjLywPoampqKBSKrq7uQM47dXZ2BoDCwsJ+5ldJV6h8fxxmZmb79yd0dpatXWs9QI9x+fJlHo83c+ZMYjVfUlISQmjOnDlaWlpiV2tkZAQAahJVpjeUT1gAsHy5+6hRBtXV8LpHrtfQc1pBjImGnuCAuUwmc0DGKTvy7jLFJCcHUamIwUBlZWLWwOPxTExMAIBYytfR0aGrq0uhUHouVRCJlStXAsAJwcMT+6Srq+vu3buCKcXFxco+F6+UPRYATJgAgYFgZQVNTWLWcPPmzaamJkdHx5EjR+KU9PR0Npvt5uY2ZMiQgdgmqitkMBhOTk6CKWPGjMH7zJQXZRUWAHz/PaxaBb/+CsTj1w8/QFRUf4tL/HmQAB92wmKxBliPUqPEwjI0hPJyOHsWjh59kfLgATx61N/iPd/kiDfh/irDyDGWMgsL89FH8PXXIGpooEePHpWVlRkbG0+ZMgWnFBUVVVdXW1pajh8/foAmkU+FoALRZkaNgvffhw0b4PRpAAA+H/bsASMj0NcHA4MX/wwNO/X1ucScAgDgE5rmzZuH13kCgJmZ2e7du+l0OrFLR2zIHgtUQFgAsG0bODpCejoAQEcHbN8unGHmzNyMjOkUCsXQ0NDQ0NDAwKC6uhr+PZwaMmQI3vswcEhhgWoIS18f9u2Ddetg2jSgUuGLL4DFAiYTWKwX//T0WLq6umw2+++//yY8lImJSX8CYokB6QpBNYQFAP7+cOwYnD8PISGwdWvP7xcAtPH5fBaLxWQymUxmeHj4uXPnkpKSPD09JW4M2WOBCgzeCX76CVpb+8pAo9GMjY2HDx8+fvz4TZs2AUB0dDSPx5O4JaSwQNmF5ekJz59DczMAgL09pKTA4sX9Kujq6uro6FhfX5+Oh2YSBUcJnD17NlKP001ejbyn/gfEihUIAH39tThl8dbnwMBAyZrk7++fn59PXO7evTsiIkKyTSgFStxjtbVBXBxQKLBihTjFly1bhkMRdXR0SNCq/Px8wTn3ysrKp0+fSrB+ZUGJhRUdDW1t4OEBAhGHRGDEiBETJ05sbW3tZ1hbEpFQ4qfCvLyUUaOmr1wp/sKpgICA7OzsM2fOLFmyRIKGZWRkEMEgq6qqRognfCVHWYVVUVGRmLhSX1/fz68IQFO8Svz9/Tds2JCcnNzc3Cy4F2iAFBUVNTY24s9qERXyVSirsGJjYwHgnXfe0dYWU1UAYG5uPmvWrJSUlLi4uA8//FBStq1bt27mzJn4Mw7hp4Yo5RiLx+OdP38eAN57770BVhUQEAAAZ86ckYBZJAIopbCYTOaECRPefPPNga9EWLRokY6Ozo0bN9Tz2U2KyHu+Q2R+//3327dvo38HjR0I7777LgB8++23Eqnt2rVrgqFE8vPzHzx4IJGalQsKUsjZ4fr6+mPHjjEYjA0bNqSkpCQkJNBotC1btuzcuVNHRwcv0QwLC5NIWxcvXly4cKGLi0t+fr5EKhSJ9evX+/v7T5o0CV8eOXJEQ0MDh6xRahTUFba3t/v6+lZWVgIAhUI5dOjQkiVLIiIivvvuu66urtbWVkmpCgDmzZtnYmJSUFAglzgcmZmZgicYlpaWlpWVyd4MiaOgwho2bBhxUJuXlxeVSq2trbWwsLh165aPj4+dnR1eUCURGAwGDjMUExMjqTpJlGO6oaqqKiEh4ejRo3gfKQ77KUECAgKOHj165syZHTt2DHwFqagUFhYS+2MfP35sb28vYwOkgYIKi8fjtbS0cLlcNpudm5t74sSJXbt2iRQNQSSmT58+dOjQR48eZWdnT548WUqt9EZ6enp5eTn+fP/+fdUQloK6wrq6uoiICDs7u6SkpIKCAgcHh9OnT1++fFlKzVGpVH9/f5DThFZoaOjpl8ydO1f2BkgDBe2xrKyscFRPmREQEPDtt9/GxMR8//33xA4LErFR0B5L9owbN27MmDENDQ19n1ooQS5fvhwXFyebtmQPKax/WLp0KcjKGyYlJfn6+vr7+y9fvtzFxYVIDwgIwBO2So+8Z2gViKqqKhwcq62tTaoNXbp0SVNTEwA++ugjfCqY6kEK61/gjdExMTHSayIpKQmrKjQ0VHqtyB3aN998I98uU6FobGy8du1aZmZmY2NjW1ubgYGB4P7pgXP+/PklS5ZwOJzPP/983759EqxZ4ZC3shWI5uZmJycnDQ0NwZ+PpaXlggULtm3blpqaOsCYVefOncOVf/HFF5KyWWEhhfUCFouFT5YbMWJEZGRkWFiYl5cXfttNoKGhMWHChLVr1546daq8vFyk+mNjY/EsxqZNm6R0CwoFKSyEEGKz2TNmzAAAGxubqqoqwa8ePnwYGRkZEhIybdo0ofDa+vr6np6e27ZtS0hIEDwxuicxMTFqpSpECgsh1NXVhQ9Lsra27vtE3ba2tps3bx44cGD58uXDhg0TGlQMHz58+fLlBw4cuHnzpuDRAdHR0VhV+JQ5NUFB12PJDC6Xu2jRoqSkJHNz8xs3bowePbr/ZR8/fnz79u3s7Ozs7Oz8/HzB/Ym6urqurq6TJ0/mcrmHDh3i8/k7duzY+qqoEiqLvJUtT3g8Hl41b2ZmVlxcLPRtdXX19evX+3lENJfLLS4ujoyMDAoKcnR0JJZI4Pi54eHhUjBfoVFfYfH5/GXLlgGAgYFBXl5ezwx4OoBGozk6OmIfl5eXRxy50zeNjY2XLl3asmULg8GgUqlC4zZ1QE2F1d3dHRQUBAD6+vrZ2dmvzHP8+PEJEyYIzT4YGBh4eXmFhYUlJibW19e/tiG8C2jnzp2SvgNFRx2F1d3dHRwcDAA6OjoZGRl9Z+ZwOHl5eXjA7ujoKDSQwLNc4eHhN2/efOUpKVevXgWAkSNHquqrm95QR2Hh4FiampqXL18WteyzZ88uXLiwefPmmTNnDho0SFBkmpqaU6ZM2bVrl2B+Pp8/dOhQAMjMzJTcHSgBiiust9566+TJk8Tljh07Pvroo4FXi3dhMBiMxMTEAVbF4/HwgD0kJMTV1RWf2uXn5yeUDes4KChogM0pF4orLC8vL8HIUt98882aNWsGWOd3332Hx+OxsbEDrKonLBYrNTU1KytLKP3Bgwd4cKbsp5iIhBqtxzp06NCGDRvw4c3SWPOEJ+KJwPEEDg4OEyZMYLFYOAa4mqDQa3BjYmLu3buHP9+6dWvMmDF1dXVmZmZiHBV5/Pjxzz77jEKh/Pzzz/hJTZYEBgbm5uZGRkYOPNiEsqC4M+9z5swZNmyYu7s7voyPjzc1Nc3MzHz8+LGzs7PrS0aPHk2j0fqu6uTJk6tWrUII/fjjj/h5UMY0NzcPGTKEx+M9efLE0tJS9gbIAXn74l7pOcb64IMP7OzshOwfNGjQtGnTQkJCIiMj79271zOgw++//45f1e3Zs0e2d/Av8J5YSUWIUHwU2hUKQaVSHz16xGQyi4uL77zk/v37mZmZmZmZOI+Ghoa9vT3Rn9XW1i5btozH4+3atWvjxo1yND4wMDAuLi4iIuLzzz+XoxkyQ5mEhTE0NHR3dydcZFNTU35+/p07d/D/jx49Ki0tLS0tPXXqFADo6elxudyvvvpKxpvJeuLt7W1hYVFSUpKfnz/w6EuKj+KOsZqbm7W1tYnzINva2vh8vtDKu560tLTcvXsXd2ZZWVl1dXW6uroKEq/xs88+O3jwYEhIyMGDB+Vti/SRty+WIlwud/DgwQCQm5tLJObk5KxcuVKMOfeBg8MkmZiYCK7WUlVUeR6LTqfjrYKRkZFEYkZGRkRExFHi8EwZ4uLiMnbs2KamJunFClAg5K1s6YKnwYyNjTs7O3HK8+fP6XQ6g8Hoz9oEiYOX4vj6+sq+aRmj4sJCCOF9xufOnSNS8DGFBw8elL0xhKwFw0mqJKrsCjGBgYEAEBER0UeKzLCwsJgzZw6Hw1H9IG/yVrbUaWxs1NTUpNPpz549wyldXV2mpqYAUFhYKHt7cIR6Nzc32TctS1S/xzIxMfH29ubxeKfxqdEADAYDv7MTHNTLjLffftvIyCgvL494DaqSqL6woHdvGBUVxeVypd16RkZGQ0MDcamlpYXXVhBCV03k3WXKAmJCKycnh0h0cnICgPj4eKk2nZqaqqWl9eabbzKZTCIxKysLAIyNjePj4588eSJVA+SFWvRYr5zQWr58OUjZG2ZmZvr6+nZ2dk6ePFlfX59IZ7PZDAaDTqcvXLhw6NChRkZG7u7u69atO3nyZElJSR+hVrds2VJUVERcnjhx4uzZs9Kzf0DIW9kyorcJLQ0NDSlNaGVlZeFINatXrxbcNHb9+nUdHR0AmDRpkqenZ89TxwwNDWfNmvX5559HRUXdv39fsKyzs3NycjJxGRwc/NVXX0nD+IGjLsJCCOFXv2fPniVS8ITWgQMHJN7WnTt3jIyMACAwMFBQGa9UW1VVVVxcXFhYmLe3d8/VWoMGDXJ3d//000/PnTtHCksRwa9+58+fT6ScO3cOAFxcXCTbUEFBAe6HlixZwuVyifTbt29jhyikNiGam5uJCBGCm6rnz5/v7Oy8f//+2y/x8/MjhSV/ZDOhVVRUhLfVL1q0SFBVvamtP2anpqaGh4fHxsY6OztPmjRpwUuGDRtGCkshwMs49+7dS6SsXbsWANavXy+R+svKyiwsLABg4cKFHA6HSO9NbaKiRK5QLZ4KCaQ6oVVeXu7h4VFXVzd37tyYmBhib/6DBw/mzJnT1NS0cOFCIlCWyqMWN0ng7e09ePDg0tLSnJwcHL/Pzc1t2bJl06ZN4/P5QmEaRKKystLDw6O2ttbLyys+Ph6Hr4Xe1ab6yLvLlDWhoaEAEBwcLME6q6urcRw2d3d3wVDeFRUVQ4YMAQAvL69XRnYQlaioKMHANdevX++5P1ZBUDth4QktIyMjifymEUKPHz/Ge4emTp0qGEyrN7WpCWonLPRyQksiu+yZTOaIESMAYMqUKS0tLUR6b2pTH9RRWIcOHQIAb29vidQWHh7u4uLS3NxMpDx9+hSrbfLkyYJqUysUd5eO9KipqbG1tdXR0bG2tnZzcyM2IRI7gkSls7OTOMmyvr7ew8OjtLTUxcUlLS0Nz7+rIWonrK6uroULF165ckVbW1swHK2Ghsabb75JiGzs2LHEk13/aWho8PDwKCkpcXZ2Tk9P7/keUH1QL2FxuVw/P7+EhAQzM7OUlBQNDQ1iR3Vubi6HwyFy0ul0BwcHVwFe258xmczZs2fn5+c7OTmlp6fjOX21RY2Exefz33///ZiYGCMjo7S0NMHD3ACAw+FUVFSIrTMWi+Xp6ZmXlzdq1KiMjAy8/EudURdh8fn8FStWnDlzxsDA4Nq1a25ubn3nF0ln9vb2b7/9dk5Ojr29fUZGBp67UnPUQlgIoaCgoN9++01fXz81NRXPuYsEm80uLCwkdFZWVsbn84lvaTQan88fMWJERkaGtbW1RG1XVlRfWAih4ODgX375RVdXNzk5efr06QOvU6g/KywsbG9vT0xMxAu8SABU/ZWOYOTt69evS6kVvEQiJCRESvUrIyouLBwTS1NTU3C1icS5c+cOAJiYmBDrnklUWVhbtmwBAAaDkZSUJO22nGT+4vAAAAHCSURBVJ2dASAuLk7aDSkLKrIe6+nTpxUVFcRlS0vLhQsXDhw4wGAwfv/9dxkMfVasWAFy2gGroMhb2ZJh9+7dOHwtJiMjw8HBITU1VWZdSF1dnYaGBp1Or62tlU2LCo6K9FivxNPT09fXVzZtmZubv/XWWzweLzo6WjYtKjiqLCwZg1c5Hz9+XN6GKASqszQ5ISGBmE9va2uTvQE+Pj6mpqbFxcWFhYXjxo2TvQEKher0WLNnz457yc6dO2VvAIPB6LmRX21RHWHp6uravMTc3FwuNmBveOrUKcEXi+qJ6ghLEcALuZqampKTk+Vti5xREWGZmJgIrlTR0dHpeTiKbJBBEBulQPVfQsuYe/fuHT9+PDg42N7eHgBaW1vr6+vxEni1QkV6LMUhKioKIYRVBQAZGRn+/v7yNUkukMIikQqksEikgupMkCoOcXFxRETkxsZGBoMhX3vkAiksyTNjxgzibMQbN26o5xMiKSzJY2JigkMyA0BVVZVcbZEb5BiLRCqQPZaE0dPTEwyCpampiWP5qRvkBCmJVCBdIYlUIIVFIhVIYZFIBVJYJFKBFBaJVCCFRSIVSGGRSAVSWCRS4f8BLvET8dMA8lYAAAJ9elRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAADkgVgDiBkY2Bg0gzczC5gClGdBoB1SaESzOyEhInFR17BD7mAmZQ6x+DgificFAgxEkwAMkJDmAhGNJfq5faU6OhgyDNkxSBJskNwOjCjMDkxYTExOzIAOzCgsjSwYTI2sCE7sKM5OgCguzpAKztAYTC0cCi6QCKxsDK1cGE7twArt4BhMHJwMHTwYTFzcDF08CLx8Dr2gGE694Ar8AA79wBhO/aIKgEIOwCIOoGIO4BIOkFIOMIAOPLIMIMyszAyOLJBsrFw8HCyMbrzi7ML+oeBHQiWBXgiOuMuKE3aeD0xxVpms75XB22nufmOHY16bm5L9exDbPpNcxVVLPybrg3J7u2oWO3jN1nZRvN9oLvFzsqLtQ1enHoSv2IcmTHEXnKjkZld+1F7/Z6fjdVNlpyf1/dvsONjm2yOk4rZ+y1/5k2QrHtGcKTjN8ttrr/d/gyO2m4LQ2k8sh9/k0x6s/ZJ1c3bUcXj+a6HhdSNpJRYPJ4cXNhY7Hf8k4zQ4VdriwOdfx32FNpz8S4Q7/UrMc9/dpOvEW6gDdluyYIajhtOuW1v6dveGOznPUnGbuDtsvPa/X8bubkZPH/rX7K7qnOPLlGjn9WXlxX1NxmWO7upaT2O/d+1efr3Rc5aTlVHx9k/2Mu3GOlTfUne5Nvm/P/sHfsVxXzekSwzv7/pQGx5Av2k4qO1UcrnK2OcZ16zqlrjpg13lwhaPYK02nHq8su907Njgm22s5CS2V3c82abFjx1FDJ1uu6fstKtocXxebOTV4KDu891zmGHJJ3EkMAABiu2xo1XvdAAADEnpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1VTW+TMQy+91fkjETkryTOgUO3ToDQWokNrgghJHbhtP8vbKd932QH2h0S9/Fjx37sldff8OPXn58vf4+H5J+vpy8vr2n78OlgdvjPX+89fWcAODwmP6S7h4+fz+n++Xh3s9xfvp2fn5KdmMzHviv2+Hx5vFkw3SfI3NEoE2pWkWYnoay9VZh8yZCYoYFbsWfoTR2JuTLKjOTgBK7B2XIt4SOcC4nOSDHke4NSITMTZNRwMij33mZoGeFRykCK6jW8QFvC10DWSjSeRF3dR8AS4QXZ0idDNgYaiRIjDKQCLdE1niTjyVgzi1yfBEY/I3tEF0X0PC3joldOogIzEiHCC1ZPiigjDVIrSNUlUfQ2GaBGVt4mL5NVultOvLKSsZI9f/TJns+eQWLN7S0rByswt1FTGo00VhLpC1QCapXyZ6FkLZG16URk7T4WS8D6V6EPaJXeB5S1r9A6lCI3VusDDyhgW5/lvTKp1BrNRs7Swsv1V2hRKmo6O1Y5JGKNbRBiEMmler0mbHdezFwGrxpCcWCthGWZABhyFehux2InppFvYV2nBQev1LAbtuKGrQUX7Bgt7o3G0zr169N6XYtLPCQrNYRAuRtiQIvICpVg1RI1N82CDFZz0jfJltBMaXyVdysxpz6GWtdcq9XWFkaLOXV995hIF0J7w+otc9lHF0zfJoitArjIizRdorsYWvXxlrEIxE60Ynt655VFn6vIVkFjZ201hvR4fHr6gLRtJDAfC1tizRl9G8/ilnspsrvQFubhfFoW5Vidd5fzaV+d/qV9P5JdeV+C/qvsm07s97JvM7/WfWWZZ9J9L/kVdd8+6Pi67xjyu06bRIyyT+sC7b47oKdWU5smXzwoTvMtFobmKQ6DTLOKFhjniRQ38DR2GKFpGi4JC08jhB4MyzQo4haiaRyGRSbVYyTQJnGLW2jW8LDQJFWMpPqkSPQUCCfhoQcknuSFTk9lEg86GW3RORrfpw6xF9iqyot+ZrX4/fZP2s6Hf2oXgGTKzte7AAACfnpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWSzW4TQRCEX4VjEm2G/pueGVscogjBCSJxTHIIVg4IxY6C4ZSHp3otRLb3svZU1fZ0f9u3LBf3X85uP9+fv78++3DNd3h+PT8pO9nx7vTv31PoIvT5lL3/T8bz3evZJRfuE3vp1NtktTirbC+pdO3QW2kkMpmV6kO3SGttNnHHuXPoTl63VEhdI+6VfDItVaxD1sEa6W6G6lL6aB7VSapMQrgbryGuY7TQnWsP3Sx0w6+MKNNwFC40rEYZa90hi6BHEcgkIVfnsUWKkYoiHbZxMWoWckNrPJBus+zKIbtjQLQoo6M2WqgaclPUxECiHGonaVsp7NLmedCPjmJgIqgQhVFB0bz20rwbZFJt0QYqWITFbECuFUggYwSetJVRa9xnnXkeETUsRqshslsMyGIeKkVlDBYT4Jup2Qyb0DvSvQ4LmWxw4BgdlHBh0zndqvWZNS6GjPl4YsNbuCOYGnDAdRohu40RsvYR7elowKFlSNTmMnyG18zBA1fhHHI1iwbJTrWFSKMI8enreuyO4vPJnPYq8zYYjTpxxa+eviNajF0z7x567OTp+1Y+nx6Oh6ebl8Pzhsqv39+fD7ufj8fy7SOOj/s/P14O+6fH/bHsHzb8xr+6wfGtXzeytCXZurR1YbeNLW1Ldl3adWGzb3zpe/bb0m/Z70u/Z38s/ZF9pgSHVomMj1eJRJBllUgQWVeJxJFtlUgoecWS38L8dBXnvAkJJ694cgLKK6KckPLI+5SQCuVAIiqrjcwrmXdSEk/RHEg4xXIg0ZSaA2kzxXMgsZSWAwml9BxIJCWRfP0LVx/3x8oSt5QAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
@@ -287,7 +287,7 @@
        "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -296,77 +296,77 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
        "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAASyUlEQVR4nO3dfVBTZ74H8G94C9EQoAJKFSziFV9bFLWola2Kur3s1rVKx5da9WrTO611etvpxu1u59bOdiZbO73t1t1prFURXTtMO1asbpWK1pVVaxARUXynCAVUhBBIgJD87h+HQoiRN/MkEH6f4Q94OOc8P/Sb8zx5zkkiIyIw5mo+ni6AeScOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTthsJk+X0Of5ebqAXsRiKbt16w2D4aDNVufrGxIS8uxjj6V5uqi+ioPV5saNJRZL+YgRX8rlI5uaihsbr3u6oj6Mg9XCaq2uqzsxfPiW4OAUAIGBcZ6uqG/jOVYrH8DHaDxOZPV0Jd6Ag9XC1zc4LGztvXu7Ll2Kr6z8v+bmO56uqG+TEZGna+g9qKZmf1XVDoPhIEBDh2oHD/4fT5fUV3GwnLBaq3/66aXq6r3jx1+Wy0d6upw+iYMFwEZkkcnk9k0NDZcKC8fGxu5taiq12eoHD35TJuMnOt3Q3+dYVqvx+vXFxcVrALJYKlrb6+pOAvDzCykr21BWtqGoKNFszvdcmT138OBBj/Tbr4PV0HClqOjJmpq9tbXfGQzfFhREXbkyu6Tkv69fX1hS8vIjjyxTKp8eOfKAXD7SZMq9dGlyWdkGokZPV90NH330UUpKytKlS00md19L6L9DYW3tdzduLLVaaxSKCbGx38jlI0ym3Nraw01Nt3x8lErlUyEhvwVkAGw2U3n5e5WVHxJZ5fKRw4dvDQr6lafL75IDBw4sX77cYDBMnDhx7969w4cPd1/f1B/Zysu1ubm+ej2uXv1tc7OhK/sYjTkXLozR66HXy4qL1VarUXSVPXPy5Em1Wp2bmyv9WFRUFBcXByA8PPzYsWNuK6PfBctqNd+8uULKR2mphsjarX3Lyv43NzdAr0dBQYzBkCWuzu6qqqrS6XRPPPGEdL545ZVX7H81d+5cAAEBAZ9//rl76ukoWB99RA4Rr6qi996j69cdt7xwgbRaOn26XeO2bZTVi/7liYgaG0suXkzQ65GXF1RdvbdnBzGZ8i9enCxF8+bNFRZLlWuL7BaLxbJv374FCxb4+/tLkYqMjPz9739fVFRkv1lzc7NGo5E2UKvVTU1NogvrKFgREfTOO+1arlwhgA4dctwyPZ0AGj6c6uraGp94gtavd1WdLmA0/nDuXIRej4KC/zCbCx/mUDabpbxcm5sr1+uRnz+kuvprVxXZdUVFRRqNZsiQIVJcfH19k5OTMzIyNm3adNrhIf6L3bt3KxQKAE899VRFRYXQ8lwcrD/8oa2xVwXrzh1dbq6/Xo+rV59pbq52yTHN5ouXLk3T66HX48aNJTU1t11y2I4ZDIa0tLTk5GSZTCZFavTo0VqtVgrKkSNHZDJZYGBgWlqa091zc3Ojo6MBDBs2TK/Xi6vTlcFKT6eAACr85VzQS4JlszUUF/9XzyZVXTn8nTu6s2eVJ05MDQ0N1el0Lj14O3q9Xq1WK5VKKU8qlWrFihVZ7WcbFoul0yGvrKwsMTERQGBgYHp6uqBqOwnWhg1UV9f2lZ/fUbBsNpo2jZKSyGYj6h3BqqgovXQpUa/H2bMD793LENRLQ8MNtXqR9N/57LPPlpaWuvDgZWVlWq125Mi2K0sJCQk6na7OftrRXnp6emBgIICkpKTbt52cRxsaGlatWgVAJpNt2riRrK59sBF1GizAydeDgkVEubnk60vbthH1gmDl5ORERkampz99/nxUfb3A074kIyNj0KBBAIKDg3U6nU16ePVUY2NjZmZmamqqn1/LpaShQ4dqNJpr1651ZfecnBxp+hUbG1tQUOB0G51Op5DLK6ZMoWeeoWrXTA9adRKsdevo2rW2ryNHOgkWEa1bR+HhVF3dEqyvv6aUFPr4Y7pwwbWVd2LLli0BAQEA5s5Nbmi4655Oy8vLFy1qOXXNnDnz8uXLPThIYWGhRqMJDw+XjiOXy1NTUzMzMy0WS7eOU1paOnXqVABKpfKrr75yus3Px47RoEEE0JgxdOVKD6p9EFfOsSQ1NTRkCL3xRkuwVq1qO9VFRFBqKul0dOuWC/8ER12ZZwiVmZn56KOPAlAoFFqttrm5uSt7VVdX63S6GTNmtA55Y8eO1Wq1d+7c6XEl9kOeRqOxOh3ySkooIYEAUqlo374e9+XA9cGSfgwIoIgIWr+eKispI4PUaoqKajeejhhBajVlZJChS+veXXXnzp1Zs2ZJD/Rt0pDsCffu3VOr1VI+pk2bVlj4wNUNq9WalZW1YsWKAQMGSNuHhITYL50/PJ1OJ42nKSkpNTU1TrYwGmnRIgLI15e0Wnq4QVzSw2AdOkS/+Q3Nn09ff010X7CIaPZsAhznWNevk05HqakUHNyWMD8/SkggjYaysqibJ3tHeXl5jz32mDQdedBajjsdPHgwKioKgL+/v0ajaWxstP9tSUmJVquNiYmR8uTj45OcnJyWlmYymVxeyaFDh0JDQwHExcU5rJ22sNlIqyUfHwJoyRKqr3/IHjsKVnQ0vfdeu5Zr10gup8xMmjOHLl+mkhKKiqLiYifBKiwkf/8HTt4bG+noUXr7bZo6lXx920IWHm594YVVW7ZsuXnzZnf/kj179kgP+hkzZpSXl3d3d0EMBsP69et9fHwATJgw4ccffzSbzRkZGfYLUVFRURqNpgd/crdcuXJl7NixAKKGDDFlZzvf6NtvWx708fFUXPww3T3stcJf/9rxsk93GY2UlUUaDY0dS2PGnGmdYYwYMUKtVmdkZNy7d6/jIzhcr3A4MfQG2dnZsbGx0vr4wIEDpVIHDhy4cuXKH3744SGfP3ad0WhcuHDhhaSkliHPqaIiGj2aAAoLo6NHe9zXQwXr7l2KiSGno3bPXL9++7PPPlu0aJF03m69WJGYmPjOO+8cP378/pl46xVWPz+/Tz75xGWluJrJZFKr1QqFIjAwMCEh4eOPP66q8sBFRpvNRn/6E8lkBNDKlWQ2O9moqormzm2Zpvz1rz3rqOfBMplo5kzatavHB+iI1WrV6/VarTY5OVkub7tpeMCAAcnJyVqtVq/X22y21ntCwsLCsh90eu81Nm/eDOC5557zdCFEmZmkUhFAkybRTz852aC5mTSalgmKWk3dHwR6GKySEpo5k7Zv79ne3VNXV3fgwIHXX3993LhxsDN48GBpfXny5Mm3hC5guMiCBQsAePC5ajv5+RQTQwBFRtLJk863SUujwEAaMoR+/rm7h+9JsG7coPBwSkggtZrU6oedY3VLZWVlRkaGWq2Wnm2FhYVNnTq1/qGfwrjWN998c/+obbFYgoODAZSUlHiqMEd379KcOQSQXE5ffOF8m9On6d//7sGxexIso5H0+rYvZxejhLPZbO+//z6A6dOn3//bpqamU6dOub8qibSC4LAQlZOTA2D06NGeqso5i6XdkOe6xeQ+fAepyWQKCQkBcPHiRft2s9k8dOhQf3//yspK91d19epVAIMGDXJY5n733XcBvPbaa+4vqXO7dpFCQQAlJZHTf7SjR2nxYoqLo9hYmj+fdu7sdBG1D79KR6FQPP/88wB27Nhh3y497bJYLLt27XJ/VVlZWQCSk5Oltav7291fUueWL8eRI4iMxPHjmDwZubntfqvTYfZsAHjzTWzciBEjsGYNXnqpk2MKeQS4y8mTJwEMHjzYYUKzd+9eAOPGjXN/SQsXLgSwdetW+8ba2lp/f38/Pz/nV1R6idJSmjKFAFIq6dtvWxpLSkgup7fearfl7t0EtG3jTN8OFhFNmDABQGZmpn2jxWKRbhpx84Wd5uZmaQXOYRl93759AGbMmOHOYnqioYFWryaFglpvLt20iXx96f416lGj6PnnOzhSHx4KJS+++CKA7du32zf6+fm98MIL97eLdubMmerq6lGjRkmXLFt9//33AKSF3F5NLse2bcjLQ0JCS0tBASIjYbde3WL8eJw/38GRvCFY/v7++/fvr6iosG9fu3YtgD179rjzRcDSROr+AD2ovZeKs3vTufp6DBrkZJvwcBiNHRyjzwcrIiIiJSWlubl59+7d9u1xcXGJiYkGg0Gab7mH0wCVlZUVFRUFBQVNmTLFbZW4THAw2j9iW/z8Mx55pIP9+nywAKxevRrORr0HtQtiNBpPnTrl5+f39NNP27cfPnwYwOzZs1tf+teXTJqE27cds0WE/Py24dIpMZNAt7JYLJGRkQAcFkUNBsOAAQNkMlkX7xN/SPv374ezBdulS5cC2Lx5sxtqcL3btykoiNasadf4t7+RTEYnTnSwnzecsR40VVepVIsXL46IiM/MrHZDGU7HQSI6evTo/e19Rng4tm7Fzp2YMwcffogdO7BiBV57DX/8I+zuonZCaNzdpqioSCaTqVQqh+uGx4/X+PpSdLSIFzg5GjNmDIAT7R/HeXl5AKKjo4V3L9S5c/TSS/TkkzRxIi1dSt991+keXhIsIpo2bRoAh1dg2mwUG0sAHT4stvfS0lIAQUFBDku1H3zwAYA1DkNJP+ANQ6FErX49KWnPP//5n/aNMhlWrgQA0TN4aRycNWuWwwy9jy00uJCnk+0yRiMplSSTkcNM/dYt8vWlwEAnq8cutGzZMgCffvqpfaPZbFYoFD4+Pk5fjuzdvOeMpVRi0SIQYefOdu3DhiE5GQ0N2LNHVNdElJ2djfvOTCdOnDCbzfHx8a2vPu0/vCdYAFavBoBt22C1OmkXNxqeP3++oqJi2LBhcXHtPiil/46DXhaspCSMHInSUhw50q594UKEhUGvR76YNz6WAjRv3jyn7RysPu9BU/WAACxZAgDtb9xyGacBunv3bn5+fmBg4PTp04X02st5epLnYqWl5OtLAQHk8I4HubkE0KBB1NDg4h7NZrO0vu9ww+qePXsAzJs3z8X99RFedcYCMHQo5s5FUxO+/LJd+6RJmDQJ48ejstLFPebk5JhMpvj4+IiICPv2/jwOwsuGQsmDpuonTuDYMURHu7i7BwXI6fPE/sMLg/W73yEsDGfP4ty5du0KhZDunAbr8uXLxcXFERERjz/+uJBeez0vDFZAAJYtA4RN1e1VVVWdO3cuMDBwRvsrsq0vnWh954/+xguDBWDtWgDYtQuNgj/5xmg0LlmyZOHChYr258N+PsGCF3+WzqRJyMtDRgZSU93ddXNzc1hYmMFgKCkpkV6x3Q955xkL4lfbO3D69GmDwTBmzJh+myp4cbCWL0dMDOLjPdA1j4Pw4mDduIENG7BuXbvGL75AYaHwrjlY8OJgZWbi5Zfx6qvtGtetw9GjYvs1Go1nzpzx8/NLSkoS21Pv5rXBAhAaioMHsW+fWzvNzs62WCyJiYkqlcqtHfcy3vwB2hERmD8f69djzhz88gk0XdXYiLo6GAyorUVDwyWDoaS2ttZgMNT9orq6uvV7g8FQW1tbV1dXX18vvU1DPx8H4d3BAvDuu/jHP7BxIzZtams8eBAFBTAYUFeH+noYjaipQV1dy5f0vcXStn1i4oFTp97qeqdbtmyR3hqkP/PyYIWG4v338eqrWL687RliWhoyMjrZ0d8fSiVCQ6FUYtSo4SrVvODgYJVKNXDgQKVSqVKpgoODlb8IDQ1t/V562z7m5cECsHYttm/HunX4179aWlJSEBODoCAolVAqoVJBpWr5PigIISFQKhEQYH+MVMDty6x9nPcHy8cHf/87pkxpu5HmxRc9WlD/4M3PCltNnIhXXsHbb8Nm83Qp/Ua/CBaAP/8ZTU1oavJ0Hf1GfwmWSoW//MXTRfQnXnt3g9kMiwX2i5REqKnBgAGw+6QLJorXBot5Vn8ZCpmbcbCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnBwWJCcLCYEBwsJgQHiwnx/0xtep08OkW2AAAAzXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAOKG5gZHPIANLMzECGBojBwsYAFWCHMBiZYDLsEJpZAEIzcTBAaG4GxgwmBtYERiYFRrYEJnYNJmYWBRbWDCYWtgQRRlYGRjYWVvEsoFJGuPX/J6+3KzGbvR/EWbPG2n5aTqEdiL16GofD0hpXexD79XOPA6z9DGD2uewb+/clPbUFsflvT95/lWEpWO8Tcbb90t/bwGr+yAQ76Hsb7QOxxQBauSoB6x+C/AAAAS16VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9UslqwzAQvfsr5gcsZtF69BJKKbGhcXsNIYc0UAqF/D8dubhKQHQkwSxPTzMP8eX7cjx93vrj+eN0/eoayPY6vlxv8Gc8NprHf3ZKCd4FEZs9ZAf63dPzBMPS9VtmmN+m5QBRF+b1iOyWeb9lCAZAI5YTe2jJMLFTfjS4WrnKKzCIEFp1WFzwvoITxbEhsZRyOQSyIhWchQlaUWAi57TukClyBeiUUBvzCUPStCFiRFcB+sxIRumIZZ0lJoyxggxwgFafZInIQAadtVQbJsIMYjhFb22+QcES1d7eTeODrL9C9/M0FqGtHi5y5tAX1bQGUsSxGoYigdYglkEzmSvTaFCo4hqG+87u+8jx9lXUb34AT5t/Ps7lN4AAAADhelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXc0xbsMwDAXQq2RMAFngJynJstGh6N7mCo3hIQhiB4nbKYcvm42aJP1Hfn1OWKZp//H2dXhg99x3EiEVOVBMxOg5jB1irlSqRQATpVeElMDBLtxXqmGkKMqV8yuCnZYUEZDaHksq2SK2cmULSoGKhFEi1z5r6Ky7KPDfbT+z9MQBkZLa+CF8b+v1eF9vA8XHz+m2Tpd5i+9He87L7/m+Ltd52WIa4BmOoQN759bFu7Su3rX15D05z0P2nBsunkvT/vwDW9x9i3vI4L8AAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAWPElEQVR4nO3da1RTV9oH8D9JBIKA3DUIiije6w1vqEWsoFi1a3WW6Iy3GVeXttVKZ7TT2r520vfVmdqOtbQK6rJ1asdaS2daL1VnxHYpiq0aLwgICiogoQUDEgFJSMh+PxzFECKVcHaCyfNbfMAN2fvpzJ999tk558SNMQZCxCZxdAHEOVGwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXMgcXQCxi59+gkoFvR59+iAhAT4+vAekYDk7jQZz5iArC0OHwtcXly9DKsWuXZg5k+uwFCxnt2ABiotx5QqiogBAp8PLLyMpCdnZ91v4cKMPG3dmFy9i1Ch88w2ef/5ho06HiAgkJWHzZn4j0+LdqWVmAsCUKS0aPT0xceL9H3FDwXJqlZXw9oafn2V7r1745ReuI1OwnJq7O3Q6NDVZttfVwcOD68gULKcWFQWjESUllu1FRejfn+vIFCynNn065HLs3NmisaAAp07hN7/hOrL0nXfe4ToAcSQvL8jlUCoBIDAQjY04dgy//z0iIpCaChnHzSbabnABn32Gv/0NhYUA4OOD3/0O771nZUUvKgqW8yoqwjffIDoaU6cCwJ07aGhAcDC6dLHD4B1aY+3bt++1114TqxQistOn8cYbDxdY/v4IDQVjWLUKaWm8B2/rKNvQ0JCenl5YWLh+/XoAW7ZsycnJARAREbF48eINGzbExsYGBARs2rRp0KBBM2bM4F0raZ+bNwGgT58WjaWl+PBDRERg+XKug7cVrJSUlICAgB9++EH455EjR9LS0vz8/KRSKYDZs2fv3LlTrVa/9tprI0aM4FolsYXVYN24YaWRg7YOhW+++eaiRYua/3nnzh2FQiGTyby9vb29vbt169a1a9fExES1Wq1QKHgXStrNaoaspo2DdpxwhoWFrV69uqysLDIy8oMPPqipqfnjH/8YHh7+7bff8quP2M5qhjphsNLT0wEwxqZOnZqfnz99+vRTp0599tln8+fP51YesVVjI8rLIZMhPLxFuxCsyEje47fjrLCysrL5e5lMBuDEiRNffvnloUOHxK+LdFBxMUwmhIdb7oJ2hjXW4cOH165dW1VV9frrr1+8eHHhwoWvvPLKnDlzYmJioqKiACQkJADIyMjgXSVpt0cd8ux1KGxrg7Smpkar1QrfC8v24uLigIAAvwebtk1NTcOHD6+urj516lQk/9mVtMO2bXj5ZbzwAj755GFjbS18fSGXo74ebm5cx29rxvLz8+v9gLu7u0QiiYyM9DN7K0AqlU6ZMgU0aXVCbe81cE4VOn51g3A0/P7778UohojH6iLdXsdBdDxYcXFxXbp0OXPmzN27d0UpiIijjb0GuyxaOhosX1/fsWPHGgyG48ePi1EPEYlDd0chyoV+8fHxAI4dO9bxrog4amtRXQ25HCEhLdrttdcAUYI1ffp0AMeOHWtqfW01cYTS4uLDkyfnzppluUh/smasiIiIyMjImpqaCxcudLw30nHni4pmnjjxZkODeSNjbFtIyPG4ONOTEizQTmknc/PmTQB9WgaooqLi5ePH5+TkSHx97VCDOMGiZVanYjVYVhv5ESdY48aN8/X1LSgoKC0tFaVD0hFChizeC7HayI84wZLJZFOmTImKGpGZWS1Khw7HmF6nu9bQcLmp6cnbn7M6Od24caN1Iz+i3QA0adKWbdukcjkWLhSrS4eprt5z69arRqPGzU0GuIWGruvR4w1HF/W4GGPFxcUAIiIizNvtfCgULVgzZkhlMhw/jtpaOzzWiyO9/mZx8ZLg4JdDQ9dJJF46XS4gdXRR7VBRUXHv3r2goCDflov0J3KNBSAgAOPHQ6/Hk35qeO+eirHG7t1XSaU+bm5SuXy4XD7U0UW1w6MOeU9qsADMmgUAT/plfzJZMIDKyo8YMzq6FltYDZDRaCwrK5NIJL169bJPGeIH67vvYDKJ2Ku9+fjEBgTMr6jYlJMTVla2WqcrcHRF7WP17K+0tNRoNPbs2dOD80NmmokZrCFD0LcvKitx7pyIvdqfpE+fLwYPvhQQsLC6eu+VK09VV+9xdEnt0MYmlj0vxhT5aTPPPgs8+UdDAHL58LCwjUOHFnp7P61WvwlAry9ydFGPpTPsjkL0YAlHw4MHxe3VTkymOosWicTL13eawfBLY2PplSsjr12b2vmPjFYX7098sOLi4OODS5esPOurk9Prr+fnj66o2KjTXa2t/YGxJgBGY2V19Zddu47W6a5KJO61tT/k54/8+ef/M5l0jq7XOqPRqFarJRJJeMu7vuy8OwrRg+XujoQEADhyRNyO+aqryywoGKfTXa2u/qqu7nRR0XPZ2f65uZGXL4ebTA29e+/w9U0YMqQwJCTZZGosL1deuTJUq+2M/4VGo3Hbtm3r168/cOBAQkLChg0bVq5cqdfr7T9jgYlt504GsJkzRe+Yl+rqvRcueKpUuHYt0Wi8yxhraqqvq/vpzp19dXVnTSaD+S/X1p7My3tKpYJKhcLCWXp9iYOqtu7WrVtvv/12jx49hP9zu3btCmD06NG7d+/++OOPq6ur7VaJ+MGqqGASCZPLWX296H2LzqRWK1UqN5UKpaXJJpPxsV5jMlRUpFy86KNS4cKFrmq10mTS8y70V508eTIpKanLg2dfDRw4MCUl5dSpU3379gXg6+v7r3/9y571iB8sxti4cQxgBw7w6Fs0JpPu5s1FKhXOn5dWVGxu78sbG9XCy1Uq5OUNq609xaPIX6XVardv3z506P33Btzd3ZOSkjIyMkwmU/MvzJkzB4Cbm1tycnJjY6N9CuMSrHXrGMBWreLRtzgMhqqrVyerVLhwwbum5qDN/dy9+31u7kCVCiqV282biwyGShGLbFt+fn5ycrK3t7cQKYVC8cYbb9y6dav1b5pMppSUFGEyi42NLS8vt0N5XIJVVsYuXGAP/mY6HZ2uKDd3gEqF7OzQ+vrzHeytqalBrf6LsEq7dCmwouLTpqYmUeq0Sq/Xp6enx8fHuz24nn3ixInp6ekGg6HtF2ZmZoaGhgIIDg7OyMjgV6HAxmAtWsSmTbNs9PFhaWns888ZwP70pxY/UijYu+/aNpTIamuzLl0KVqmQlzdcry8Vq1udrqiwcIZKhS+/jIuOjj579qxYPTcrLy/fsGFDWFiYkCdfX99ly5bl5OQ8fg+VlZXTpk0DIJVKlUol1z8AG4M1bx6Li7Ns7NKFffwx+/xz5ubGunRhFy48/FEnCVbrE0Bx3b799aBBkQBkMtmrr76q1WpF6VZYmMsePDdGWJjX1tba0JXRaFQqlRKJBMDMmTOrqqpEqbA1LsFyd2e//S0bO5Y1/0k4PFgmk+nWrf8VTgBv3frTY54A2qCurk6pVLq7uwvrnl27dplsXRM8amHe8SIPHToUGBgIoE+fPpcuXep4h63xClZpKfPyYqmp93/k2GDpdLqFCxf+z/+MP3++iw0ngDbIzs6eMGGCEIi4uLi8vLx2vdxiYR4aGvqohbnNSktLY2Jihg4d2r9//x07dojYs8D2YPXsyVasaPElkTwMFmNMqWR+fuznnxlzaLA0Gs2kSZMA+Pj45OVxX7Q2M5lMu3btCg4OBtClS5fk5OS6urq2X9K8MG/evn7Mhblt9Hr9+vXrFQqFQqFYsWJFvagbj7YHKzSUvfRSiy+LYDU0sL592fz5jD0I1tGjLDWV5eQwnqvGFoqKigYMGCD80V8wX/TZS3V1dXJysrCmiYyM/O6776z+mlqtbr0wz83NtUOFR44cGTBggEKhmDRpUn5+vljd8joUCv7zH+bmxjIz7wdr3jwGMID5+LD4eKZUsowMptN1oPw2ZWVlCRPG8OHDS0tFOwG0wblz58aMGSOEZtasWcXFxc0/sliYDxo0KCUl5VfnNnFdv379mWeeUSgU/fr1+/bbb0Xpk2+wGGPPP8/GjmU9erB332V79rCFC1mvXvfjJXx5ebG4OPaXv7CjR5lNJzrW7d2719PTE8CMGTPu3hX/BLC9DAZDSkqKcIODl5fXmjVrUlNThwwZIvrC3DY6nW716tXCYXHlypUNDQ0d7JB7sEpKWNeuDGixxiovZ+npLDmZRUczieRhyKRSNngwW7aMpaezSls3sU0mk1KpFPYPk5OTue7WtFdZWdncuXOFJDUvzJVKZUVFhaNLY4yx9PT0yMhIhUIxbdo082nVBtyDxRh7913LYJnTallGBlMqWXw88/B4GLL+/bMjIyMXLVq0ffv2x19tCCeAwh7g5s32OAG0wdq1awGEh4fv37/faOS18WGbnJycmJgYhULRv3//Q4cO2dyPjcE6eZK1nrb37GEFBay4mFm8j67Xs/R09jjrwro69v337J132NSpLD5+i/nlPQqFIikpKSUlRaVSPWoSqqqqmjx5MgBvb++DB21/B5C3lStXAli3bp2jC7Hu7t27S5cuVSgUoaGha9eute19ay7vFYrCaDTm5uZu3749KSkpKCjIPGQ+Pj7x8fFKpTIjI0P3YPHv8BPAxyd89NDx48cdXcgjmUymtLS08PBwhUKxdetW8x8ZDIbs7Oxf7aHzBsucyWTKzc3dunXrggULLC669fLymjJlypIlS/z9/QFER0er1WpH13vfrl27Nm3aVFLS4mJArVYrlUrd3d3F3Tfi4cyZM4sXL9aZnbc3NTUZjcZRo0b96mufjGBZUKvV6enpycnJ0dHRwhaRRCLx8PCIj4/vDCeAzcaNGwfg6NGj5o2HDx8GMGHCBEdV9Tjef//9SZMmlZWV1dbW7tix45lnnhFmqdmzZ3/wwQfz5s1bt27d4sWL2+jhifyw8dDQ0KSkpI8++kilUlVUVOzbt2/AgAF6vT4hIcGn1XMjampq8vPz7V/kvXv3Ll68KJPJxo8fb95+8uRJAE8//bT9S3pMeXl5586d8/f3NxgMV65cCQkJCQsLq6+vB7Bnzx4/P7+CgoJhw4Zt3769rV7s9TfAlzAN9O7d2+IkKzMz08vLKyYmxv4lCc++Hz16tEW78P7So7bgHc5gMMyaNevq1avPPffczZs3hcaXXnrp9OnTjLFr165NmTIlPz8/NjZWo9G00c8TOWO1lpiYGBUVVVJS8t///te8ffTo0Z6enj/++OP58+ftXJLVmUmv16tUKolEEhMTY+d6HlNaWlpsbGz//v2t/jQsLOy9994bOHDgX//6V782P67cSYLl5ua2bNkyAKmpqebtcrn8D3/4A4Bt27bZuSSrwTp79qxOpxs6dGhAQICd63kcJSUlqampAQEBu3fvvn37tnAcMCeXy4X3piZNmiR80O6jOEmwALzwwgteXl5HjhwpLCw0b1++fLlEIvniiy+qq+33tEGj0XjmzBk3N7eJEyeat3fyBZZMJnv77bfFeXCIHQ7bdrNkyRIAf/7zny3ahSfRf/jhh3ar5MyZMwAGDhxo0Z6YmAhg7969dqvEZvPnzy8pKSkvL587d25MTMzMmTM/+eSTx3+5UwVLeNC8v7+/xRbR/v37AfTr189u7xtu3LgRwNKlS80bjUZjt27dAIh7yV7n5DyHQgAjR44cO3bsnTt3vv76a/P2WbNmRUREFBUV2e1Tyqwe8i5fvqzVavv27dt83ZUTc6pgAVi+fDmAtLQ080aJRCIs7S3aOWGMnT59Gq2C1ckXWCJz9JQpMp1OJ1zcZ3ED1u3btz09PaVSafPeDD95eXkAevbsadEu3JH86aef8i6gM3C2GcvDw0PYX7CYnIKCgubNWzx+/JavvvLmXYMwM8XGxlq0Z2VlgWasJ1dxcbFUKpXL5RZbw1lZDGDBwRwvhhYsWLAAQFpamnnjtWvXAHTv3p3v2J2Gs81YAHr37p2YmNjQ0PCPf/zDvH3CBERH4/Zt/PvffAuwupZyrQWW8y3eBStWrJo8ef/+/cstnt/84osAwHUFX1ZWVlpa6u/vP3jwYPN2VwuWEx4KGWMmE4uKYgA7fLhFe309CwhgADvf0UeBPNLu3bsBzJ4926JdeE5VJ78CUUTOOWO5uWHpUqDV5OTlhcWLAaDtKz46wurM9Msvv1y/ft3X13fYsGG8Bu5sHJ1sXqqrmZcXk0jYjRst2gsLmUTCvLwYp8cmCkfAH3/80bzxq6++ApCYmMhlyE7JOWcsAP7+SEqCyWQ5OfXrh6lTce8e/vlP8QfVaDT5+flyuXzUqFHm7S63wHLWxbtg+XIA+PRT6HRW2rdsAWMij5iVlcUYGz9+fPNtgwIKllMZOxZjxkCjQXp6i/bZs9GrFwoLcfy4yCNaDZBWq83NzfXw8Gi+y94VOHOw8GBysljCS6X4+99x4ABa7Y13lNVgZWVlNTU1jRkzRrjl30U4ebDmzUNgIM6cgUrVon3uXMyejTYvgWy3+vp64e4J4eacZi54HITTB0sux5IlALB1K/exfvrpJ4PBMHLkSIs7hVwzWG5M9BVsJ3PjBqKi4OGBW7cQGMhxII1Gc+TIEU9Pz6SkpOZGvV7v5+fX2NhYVVXV9t0HzsbR+x32MGMGA9jGjQ4Y+sSJEwBGjBjhgLEdyskPhQJhCb91qwM++tU1j4Nw+jWW4Nln0acPrl9HZqa9h3bZYDn/Gktw8CC6dRN/f6FtTU1NgYGBWq1WrVYLnwrhOlxixgLw/vtITkZNzcOW3bvx1FN8B83OztZqtf369XO1VAGQOboAOyktRWkp3nrr4WapVoviYjGHuHv3bkVFhUaj0Wg0VVVVwkkiXPI4CNcJFoDnn8f27Vi0CO19bILBgKoqaDTQaKDV3iwrO6x5oLKysvn7xsbG1q+dP3/+YuFKHRfjQsEaPx4SCV58EefP48HnRcJoRFkZKivv50ajwe3blv+8c+dhJ08/3Xjy5CtW+/fx8QkJCQkODg4KCgoMDAwKCgoJCUlMTHSha7DMuFCwAGzciMGDsXkzVq2631JQ8OsrLakUQUH3v4YN83rqqeVBDwQHBwtJCgoKEueRB87CtYIVEYG33oJSiblz77eEhKBXL4SEIDj4YXq6d3/4fVCQxX59OJBqpWvSkmsFC8Drr2P3bqxZc3+lFRKCkhJH1+SMXC5Y7u7YvBnTp0PiKjstjuGK/+smJCApCV984eg6nJorBgtASgq8ud9q79Jc5VC4Zg3M729QKLB3LwoKHFeQs3OV9wqJnbnooZDwRsEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtwQcEiXFCwCBcULMIFBYtw8f8M1e4VFPV7yAAAAQF6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAALihuYGRzyADSzMxAhgaIwcLGAKHZGcASTHAJdgjNLAChmTggCpkYDDQYgQxGTSAhyQEkHEvyc/1Kc3I0ZBi0YZL82CS5GRgzmBhYExiZFBjZEpjYNZiYWRRYWDOYWIA8DgZmTgYRRlYGRjYWVvEmkCFw1/c2M9pLWJ7fD+KEtEbZ981V3gdidzvxO8j4XrUDsS2mOR4oWX5zN4jNmX5iv3bWVrAaJYfa/d/n3APr/Vh+a1+1rrw9iH1rgbTDop2fwezi1miHHIO/YPV+TLEHMtW2g8XFAIL4ORmtnLBUAAABYXpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1STWvDMAy951foPKiRbFmxDjskTRljNIGl27WUHbrCGAz6/5mckTpjYYpDLOm9hz7iz1/n4+nj2h7f3k+Xz6aCbM/d0+UKN/NdZXH856gqvAZErPaQL9DuHh572B6ado5sh5f+MAJhPtPzG9schv0cIdgCuohRiWFDTiiphdHhZIXqJ2CKIWoNG3Rk30QrwGBA73xIHGpLM4kgr+AYetgEh55r5ayIKMJ+BRlN0UqLEoUnZIgcvKwgJWui06ReMHPqoCRxBVnDmJHsRTQriac6pRVggsHa4UCiAcgpMmFYwSncQTAcosdJWTnScpCwb8bxnuk2eTSGDYCj9SImbdwkfxkUZ8au737t7meb7dB3ZZtsry87y66UzVgOQlkAm1uXKVsOUhllFotlXuYUqTS5dWmejKuL1qZKcFn5ss7sz3+s3atvOdKYwV+HxQ4AAAEqelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicZY8/T8MwEMW/CmNbudadfXf2JWKoEGKDSiCWqkMbZUA0SdUGpn547E5xmOx7v/fuzw55tX9tsG+axdNiR7jaLx/flld8uC3W3hJ7Fwxa8hDF1EkBR0HNGiyACDkXk4qWhYWy6pm8y06wGjX9EgxeMZgaLAMrUpYEo/osRfasIScxvRFN7azzkciAJRQBMrXP48FlEynx3UMeRdNiCoT3aeREVFJKHIYYzdIcxqHbXoZzBbYbTh/D+Hk4tX3TWkzK9ed4HprvdrTvz6ls+9+vy9B3bT/a/lDhhG+2qZxyrlyJXYGRKl9yP+dUcppzLjnPuZRcCi5V+HdvmAReNqmc3RvLhnHWUEuss31ufyAWrDJbwD6aAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>B</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAeFElEQVR4nO2de1yUVf7HPzPD/Q4CykVQxFWxNPGCKWAqilwqtWbdLNrVTbbsFaW2kq9SfmYX1jXD1Gzc0kDNwmuWIIEXEFcNvC6FKyoXFbkIDDe5zcz5/fGwqDj3eZ55hvG8X73mVc+c55wP8eGc83yf7zlHQAgBhcI2Qr4FUMwTaiwKJ1BjUTiBGovCCdRYFE6gxqJwAjUWhROosSicQI1F4QRqLAonUGOxTEoKZszAc8+hubn3V/X1mDEDL7zAhyyjY8G3AHOjuBg5OQCQlIT16x/6qrMTOTno148XXcaG9lhcsXEjLlzgWwR/UGNxwuzZkMnwt79BLudbCk9QY3HC888jNBQFBZBI+JbCE9RYXPHFFxCJsGIFKiv5lsIH1FhcMWYM/vpXNDXh3Xf5lsIH1Fgc8umncHfH7t3IyOBbitGhxuIQNzd8+ikAvPMOOjsf+urqVVRX8yLKSFBjccvChXj6aZSUYMOGh64vW4YBAzBkCF59FVu3orycJ32cQQOk3CIUYvNmjB+Pjz5CZOT963Z2sLfHjRu4cQM7dgDA0KGYMgVTpuCZZ+Dry5de1qDG4pwxY7B4MTZuxOrV9y/+8APkcly8iPx8nDqFnByUlKCkBF9/DQBeXggNRUQEJk/GyJF8CTcIAV3+xS5/+xu2bsX27fjLX+5fbGzE8OGoqgKAfv1w927vu+RyXLnS7bCjR1Fff/+rPmoy2mMZA2dnrFuHV15RWUAkwsiRGDkS8fEPmezYMdy5gz17sGcPAAwYgLAwTJ6M0FAEB0MgMNpPoDuEwgYKBdmwgTQ3k/h4ApDt25WUmTaNAKRfPx2qlcvJxYskJYXMmUPc3Qlw/58RI2pfeumlr7766vfff2fph2ATOhSyw9Kl+PxzTJ+Od9/FpUuIjsaTT/Yuc+0a9u2DrS0SEvRs5cYN5OQgPx8nTsDb+8DZs3OZ656enhMmTAgNDY2IiBgzZoxQyP/DPjUWC3zwAT7+GFZW2L8fMTFGavTKldvHjx/Ky8vLzc29c+dOz3UPD4+wsLApU6Y888wzTzzxBF8mo8YylPXrsWwZRCLs3g2xmB8NN27cyM/PP3Xq1C+//FJWVtZz3dHRMSQkJCIiYvLkySEhIZaWlkaTRI1lEF98gbffhkiEtDTMn8+3GgBAZWXlqVOncnJysrOzS0tLe647ODhMnDiRMdmECROsrKw4lUGNpT/btuG11wBAIsGiRXyrUUZpaWleXt6JEydyc3MfNJmTk1NoaOiUKVPEYvHgwYM5aZvXR4c+TGoqEQqJQEA2bza0qtpaIpWyoUktlZWV6enp8fHxQUFBgv8FKt57772rV69y0Rw1lj7s20csLAhA/vEPFmpbuZKIRCQoiMTHk/R0cvcuC3Wq59atW7t27Ro5ciSApKQkLpqgxtKZgweJpSUByJo17FT41lvEyup+gEooJKNHk7ffJvv3k9padppQyuHDhwGMHz+ei8rpHEs3srPx3HNob8fSpfjsM9aqbWvDuXPd0fb8fLS33/8qIKD7fc60aSy/nG5ra3N3d29vb6+srOzfvz+bVYPOsXQhP5/Y2xOAJCRw2EpbGzlxgvzf/5GpU4mt7f2eTCAgQUFk8WJy4MClO3fusNJWdHQ0gG+//ZaV2h6EGktbTp8mjo4EIAsXEoXCSI12dZHCQpKcTGJjibNzt8OCgsYDCAgIiIuLk0gkZWVlete/ceNGAPPmzWNRMwMdCrXi4kVMn476esTF4dtvwUs0u6sLv/6KvDxFfv5zeXm5LS0tPV8NHTo0PDycibYPHDhQ+zpLS0sDAgJcXV1ramosLFjNSGDdqubH5cukXz8CkLlzSVcX32oIIYTIZLLCwsKUlBSxWOzq6vrgL9TLy0ssFkskkqKiIm2qGj58OIC8vDx2FVJjaeDqVeLlRQAyaxZpb+dbjTJkMllBQcG6detiY2NdXFweNJmfn19cXFxjY6Oa25cuXQpgxYoV7KqixlJHeTnx9ycAiYggbW18q9ECuVxeVFQkkUjEYnG/fv0AuLm5yeVyNbdkZ2cDGD16NLtK6BxLJbduYcoU3LiByZORlQV7e74F6YhCoSgqKqqoqIiNjVVTrLOz093dvbm5uby83M/Pj63W+U/cMU1qajBzJm7cQEgIMjP7nqsACIXCUaNGqXcVACsrq+nTpwPIyspis3UW6zIb7t7F9OkoLsbo0cjIgKMj34I4JioqCkBmZiaLddKhsDeNjYiIQGEhhg1Dbi5Yj0ibILdu3fLz87O3t7979661tTUrddIe6yFaW/HssygsxNChOH78sXAVAF9f3yeffLKlpSU/P5+tOqmx7tPWhthYnDwJPz9kZ8PLi29BRoR5t8PiaEiN1U1nJ158ESdOwMcHx4/D359vQcaFmWZlsLd7CZ1jAUBXF158EYcOwdMTJ05gxAi+BRkdmUzm4eEhlUqvXbs2ZMgQwys0/x6rqQkNDbh3T8lXXV1oaEBLC7Zvx6FDcHfH0aOPo6sAWFhYzJw5E8CRI0dYqdD8jTV9OtzcEBiIxsbeX+XkwM0Nc+di0SIkJiIrC088wYdE04DdoIP5G4vhzh0kJan8ViBAcjKCg40oyPSIjo4WCoXHjh27p7R715HHxVj29ti0CefP863DhPH09AwODpbJBKdO/W54bY+LsZYuhVz+WO+PrQ3z5h20tm45dGic4VWxb6yysrLLly/fuHGjoqKioaGh+dGjP/jghRcwaRIKC7FlC99STJjQUJ+WFsHhwyxUxfI2Rvv379+2bdvhR6RZWFg4OjqKRCInJyfmUygUOjs7M58CgcDFxYX5BODq6uro+ISFRQwAJonNxQUCQfenszOEwu5PJyeIRFoJEwiwaRPGj8f772POHPj4sPtzmwkTJsDTE6Wl+O9/MWyYQVWxaay2trYFCxY0NTUNHz68s7Ozq6urpaWF+ZTJZA0NDQDuPrrpmDLCwhadPKnt9hqMvZhPR0dYWHR/DhqEf/3rfrExY7BwIf71Lyxbhu+/1/3HewwQCjFzJnbuREaGKRnrxx9/bGpqCgkJOXPmTK+veuzV3NzMfMrl8qamJuZToVA0NjY++Onq+vSIESAEUikANDTc/5RKu6/3fDY13f/2QQIDe19JTsbBg/jhB8TFGW9bmL5FVBR27kRmJpYsMageNo21c+dOAK8o27jO0tKSSc328PBgsUWGxkYoFN2fTU2Qy7s/H93wzs0Nn3yCRYvw9tuIiGBdiDkwaxZEIuTmornZsHwhtlJRa2pqLC0tLSwsqqqq2KqTFcaNIwC5dKn7P+Vy8vTTBCDr1pGMDAKQGTN41Wd6MP9/Dh40qBLWngp3797d1dUVFRXF/ppaVhEK8eWXEImwZo2STWYpAKKiAMDACDxrxlIzDpoaTz2FN99EYyM++YRvKSZJdDQAQ49pYcdYJSUlBQUFTk5Ozz77LCsVcs2aNfD2xpUrfOswSYKD4e2NmzdRVKR/JewYKy0tDYBYLLa1tWWlQq5xcsLatXyLMFUEgu5DNAzptFgwFiHku+++Qx8ZB3t4+WVMm8a3CFPF8GkWC4l+J0+eDA8P9/HxqaioMIWNoHtx+zY6OuDri0c33Wxqwt27sLV9vLKQtaGpCe7uIAS1tXh4cbW2sOADZtr+6quvqnJVdXV1bW2t4Q3ph48PAgJ6u+rmTXz4IbZuRUAAdZUSnJwwaRJkMuTk6FuFgTGPjo4OZin3f/7zH1Vlli1bZmlp+eWXXxrYFosUFhKADBzItw4TJjm5e88m/TDUWHv37gUQHBysqoBcLvfx8QFw5swZA9tiEYWie6sP1X8OjzuXLxOADBig52Zghg6FGsNXR48evX37dmBg4IQJEwxsi0VYefAxb558Ev7+qKrChQv63G6QsRoaGjIzM0Ui0UsvvaSqzI4dOwDExcUJTOysKlbiy+bNrFmA3n97hvSWW7ZsARAZGamqQGtrq4ODAwCONhM3BKmUWFoSS0tj7LHeRzl4kABk0iR97jWox+rpjVQVOHDgQEtLy6RJk4YOHWpIQ1zg7Iynn0ZXlwEPPuZORASsrXH2LOrqdL5Xf2OVlZWdPn3a3t7++eefV1VGo/P4hY6G6rG3R3g45HLos8GR3v3k6tWrAcTFxakqUF1dbWFhYWVlddcIZy3oxaVLBCBeXsbbBbnPcfgw+eYbUlOj8436J/ppfI2za9cumUw2e/ZsJtBlgowaBT8/VFTg4kWMGcO3GhPj999RWQlHx+5khwfp6MDJk7CyQni46vv1MzKTfOzl5SWTyVSVCQ4OBrB37179mjAOzEm7H33Etw7TY+HC7m3lf/6591c3bxKA9O+v7nY951jM5Gn+/PkiFatkiouLz58/7+zsHP2o4U0JOs3SyJtvorVV57v0MZZMJtuzZw/UjoNMIs28efNMPJFmxgxYW+PMGX0efB4H/PxQXo5PP9X5Rn2MlZmZWVNTExQU9NRTTyktQAj5/vvv0RcSaeztERYGuRy//MK3FJNk6VI4O+Of/0RxsW436mOsnnQGVQVyc3PLysr8/f1DQ0P1qN/I0NFQDf36YeVKdHbi9dehU4KVzsZqamr66aefhELhfNVnIDPOM8HXOEphJoGZmVAo+JZikiQkYPhw5OUhLU2Hu3Q21p49e9ra2tQcBtTe3r5v3z4AL7/8sq6V88Lw4RgyBHfvoqCAbykmiaUlNmwAgL//HfX12t6ls7E0pjMcOnRIKpWOHz+eOf2nT0BHQ/XMnAmxGLW1SEzU9hbdjFVRUZGXl2djYzN37lxVZfrQOrAeGGPRFBo1bNgAJyds24Zff9WqvG7G2rVrl0KhmD17trOzs9ICdXV1WVlZFhYW8+bN06lmfpk6FXZ2OHcO1dV8SzFVvLywciUUCrzzjlazeN2MpfE1zu7duzs7OyMjI018PXQvbG3xzDNQKMDSzq7myTvvYPRonD6NPXs0F9bBWOfPny8qKvLw8GC211VKXxwHGaKj4e/fdfnyZb6FcMiZMwbt32RhgY0bIRDg44+1KK39y6MlS5YASFB90HZJSYlAIHBycmptbdW+WhPh+vUyAC4uLl0mcogq25w7R1xciEhEjh/XqjzzrnDHjt7XX321+x0iO+8K5XL57t27obY32rFjByHkhRdesLOz07Ja0yEgwH/48OFSqfT06dN8a2Gf//4X0dGQSvH88zAwaP3Pf+Lhs4KVo62xsrOzq6qqhg4dOn78eKUFCCG7du1C3xwHGVg/T8ZEKCnB1KmorkZkJL77DurPFD97FtOmoa4OHh4ICFCyRZanJ9auRUCAplNhtOxImWjnmjVrVBVgDo7y8fFRk0hj4nB0iC2/6HT68PnzxNWVAGTVKkPb1cpYLS0tDg4OAoHg+vXrqsq8/vrrABITEw1VxB8dHR2Ojo4AysvL+dbCDrdukYCA7gURzc0aCl+5Qvr3JwCZM4cYPs/UylhMDkxYWJiqAj3roS9fvmyoIl6ZPXs2gK1bt/IthAWqq8mIEQQgISGkqUlD4ZIS4u1NABIZSdrbWWhdK2PNmDEDgEQiUVVg//79AJ566ikWFPGKRCIBMGfOHL6FGEpDAxkzhgBk9GhSV6ehcHk5GTSIAGT6dM3DpZZoNlZlZaVIJFK/JoJ5w7Nu3Tp2RPHHzZs3BQKBg4NDOyt/tjwhlXbvvDpsGNG4I6xOw6X2aDbWunXrAMydO1dVgfr6emtra6FQeOvWLdZ08ceoUaMA5OTk8C1ET1pbSVgYAUhgILl9W0PhmhoSFEQAMmYMaWhgU4bmcIPGYHp6enpHR0dERISPWZz30KeDDj2nDw8ciOxseHurKyyVIjISv/+OUaOQk6PnPlgqUe+73377DYCrq6uaoYFJE01LS2PT8PyRm5sLYMSIEXwL0Zn29va//OVdF5d6Hx+i+vG9m8ZGMn68tsOlHmgw1vLlywG8/vrrqgqUlZUJBAI7O7tmFsdnXunq6mKO9Ll27RrfWnSgs7OTWZI+aVJkcbGGwq2tJDxc2+FSP9QZSy6XM2mi+fn5qsqsWbMGwMsvv8yBNt744x//CGDTpk18C9EWmUzGbPjj4uJy7tw59YXv3SNTp3bvO1daypUkdcY6evQogEGDBilUL0Fn0kSPHDnCgTbe2L59O4CYmBi+hWiFQqFYtGgRACcnp19//VV94Y4OEhNDAOLjQzjtkdUZa8GCBQBWqQ3vX758eeXKlWaWEVBdXS0UCm1tbU0/TUOhUCxevBiAnZ1dbm6u+sIyGRGLCUA8PMhvv3ErTKWx2tramDTRK1eucCuBD+RyufoC48aNA5CRkWEcPXrDTIJtbW2PHTumvqRMRubPJwBxcSGaRksWUGksJkkmJCSEcwlGJz09PTAw8ObNm2rKrFq1CsBbb71lNFV68P777wOwsrL6+dH9FR5GoSCLFhGAODkRTaMlO6g0FvOIsXbtWmOoMBa1tbXMxBzA6tWr1ZRksrIGDx5sNG268tlnnwEQiUTp6enqSyoUivfeKwWIgwNR/RjGMiqNVVBQYGtr6+vrq3E+2FfIyMjw9vZmpiMpKSlqnkgIIXK53NPT02RnAhs2bGBctWvXLo2Fly9f7uTkPG5c/tGjRpDWjUpjlZaWjh07lvk1pKamGk8RB0il0vj4eKajmjx5cklJiTZ3MSlo69ev51qernzzzTcCgUAgEGiThfHBBx9oOVyyi7qnwvb29oSEBOb3ERcXd+/ePaPJYpGsrCwmGmdra5ucnKxx2t7DRx99BMDDw2PFihVHjhwxkQhwamqqUCgUCASbN2/WWLhnuPzhhx+MoO1BNL+ETktLY3LYg4ODS7kLqHFAa2trQkICs3/ExIkTtR/UOjs7V61aZWFhYWlp2fPuSyQSjR07NiEhIT09vb6+nlPlamBCVp999pnGksxwKRQKtRkuWUerfKwLFy4EBAQA6NevX1ZWFteaWCE/Pz8wMBCApaVlUlKS9gnTRUVFzBxAIBAsXLhw7969y5cvDwkJsXggV1wkEo0bN27ZsmWHDh1qYDcrQBMKhSIzM1NjsZ7hUk0WHadom/Pe2NjIZFcKBILExETtBxTjc+/evcTERObEqFGjRl24cEHLG2UyWXJysrW1NfO+oVdkqKWlJTs7OykpKSIiginDIBQKg4KC4uPj09PTTWQb37S0NO2HS47QYV2hQqFITk5mfmExMTE8DgdqOH369LBhwwBYWFgkJiZ2dHRoeeO1a9fCwsKYv5z4+Hj1M6rW1taTJ08mJydHRETY2Ng8mC0SEBAQHx+fmprKV3bavn37mM41OTmZFwEMOm9ue+zYMeY53N/fv6CggAtN+tHZ2ZmUlMTsiTpy5MjCwkItb1QoFBKJxN7eHoCXl9dPP/2ka7uFhYWMyXrti9ljsoqKCt1/IH3IzMxketMPP/zQOC2qQp9dkysqKkJCQgDY2Nh8/fXXrGvSg0uXLjH7VgqFwoSEBO0Ti0tLS6dOncr4QCwW12nMD1dLV1cXY7LY2FgnJ6deJouLi5NIJGVlZYY0oYbs7Gym+1yyZAlHTWiPnttxPxiJiI+P137EYZ2urq7k5GQrKyvml6fxRWwPTEfFHPXTv3//AwcOsC6sx2S9NufpMRmLT9n5+fnMz2Iir6EMOqQpNTWViUSMHTuWl0hEUVER87aYmRi1tLRoeWNlZWVsbGxPR1VbW8upTplMVlhYmJKSIhaLXR5OAfby8hKLxRKJRM2aTY2cOXOGWRG5YMEC9W8UjIahB2GeP3+eiUS4u7sbMxIhl8tTUlJUPcGpJz093c3NDYCrq+uOR3e94JgHTcbIeNRkRUVF2ld48eJFpp5XXnnFdJ7WDTUWIUQqlTKRCJFIlJSUZISf7fr16+Hh4T0dVZPG5Zj/o6qqipEKIDo6+jZHablaI5PJioqKJBKJWCzudTAMY7KUlJTCwkI1ndCVK1eYrcjmzp1rUllxLBiLPByJiI2N5S4SYcgTXHp6uru7OwBnZ2e+wobquX79OmMyRmcP/fv3V2qykpISLy8vAJGRkaa2EJIdYzFkZGQwfXJgYOClS5dYrJlB7ye4+vr6nuVrM2fOVJ+JZSIwJouLi/P19X3QZJ6enrGxscnJyT///POgQYMAREREtLG1fpk92DQWIaSiooI5+9nGxuabb75hsebU1FRmfurp6anTE9zhw4e1z5YxTXpM5ufn1+Mw5h1oeHi4aeZPs2wsQkh7e3tPjgorkYg7d+48++yzejzB6ZctY+IUFxdLJJL58+czf2bav7AyMuwbi4GtSETPE5yLi4tOa2KzsrKYQUTXbJm+AnMySEpKCt9ClMOVsYjBkYjq6uo5c+Yw/U1UVJT2T3B6Z8v0LZiT/dSc9M4vHBqLEFJXVzdr1iz9IhFXrlyxtbXV9QmuJ1vGxsYmOTm5724vqJHa2lqRSGRtbW0iGYi94NZYxLBIxMGDB7V/gtM7W6bvMnHiRACHDh3iW4gSODcWA9eRCL2zZfo0zHnvb7zxBt9ClGAkYxHOIhFtbW2JiYl6ZMuYAQUFBQAGDhzItxAlGM9YhINIRE+2jEgkSkxMNLXoM9coFIoBAwYA0OndonEwqrEYWIlEPJgtM2TIkLy8PFY19hn+/Oc/wyTXFfNgLGJwJOLB9Q46ZcuYH8zZ21OnTuVbSG/4MRbRNxKhfr3DY4hUKrW0tLS0tJRKpXxreQjejEV0j0TotN7h8YH5f7Jv3z6+hTwEn8Zi0CYSYeB6B/Pmk08+AfDaa6/xLeQh+DcW0RSJYHe9g/lx8eJF5u/NpBI3TMJYhJD29nZm8fiDkQimo2Je43Ox3sFsYNJpTOplg6kYiyE1NZVZmjd27NizZ88ac71Dn4b5m/z444/5FnIf0zIWIaSgoMDf3x8AE6Nyd3fXuLEYhTnLKDQ0lG8h9xEQbY4kNy51dXULFiwIDg6+dOnSV1991bfOLeeFlpYWd3d3mUxWXV3da1EGX5iisSh6EBERcfTo0d27d//pT3/iWwug0yn2FFMmKioKpnQEEO2xzITi4uKgoCAPD4+qqiom5swv/CugsMKIESPmzDnl7HyzoMAkfqcmIYLCCt7ek65dszaRwZAay3yIigIAEzEWnWOZD21tcHdHezsqK8F7iIb2WOaDrS2mTIFCgawsvqVQY5kZpjMa0qHQrCgtRUAAXF1RU4MHtg/nAdpjmRWDB2PYMDQ04MwZnpVQY5kb0dGACYyG1FjmBjPNysjgWQadY5kbnZ1wd0dLC27ehI8PbzJoj2VuWFlh2jQQwvNoSI1lhphC0IEOhWbIrVvw84ODA+7ehZUVPxpoj2WG+PriiSfQ3Iz8fN40UGOZJ7wHHaixzBPegw50jmWeyGTw8IBUiuvXERDAgwDaY5knFhaYMQMAjhzhRwA1ltnCb9CBDoVmS1UVvL1hY4O6Ojx88qsx4DW1gsIlAwbglVfg54eODh6MRXss80QqBSGwsVFiqY4O3LsHa2vY2eHePbS1wc5OufOam9HZCUdHfaKsdI5lngwbBjc3TJiArq7eX23fDjc3vP02AKxYAXd3rF2rvJI5c+Dujp9+0kcANZY5U1SEzz/np2lqLHPG0REffojych6apsYyZ959F62teOMNHpqmxjJn3ngDQ4ciMxMHDhi7aWosc8bKqnuO9eabaGw0atM0jmXmxMQgJgaHD2P1aqxfr7zMjz+iokLJ9eJi/dulxjJ/Nm/G8eP44gvExWHMGCUFLlzAhQssN0qHQvPH3x+JiZDL8eabUBoOX7YMt28r+ScsTP9GaY/1WJCYiO++w+nT+P57Jd86OsLbW8l1Q9KaaY/1WGBtjQ0bAOC999DebowWqbEeFyIj8eKLqKjAli3GaI4a6zHi88/h4ICrV/W5t60NP/6IbduQl6d8otYLaqzHCF9frFqlz41nz2LwYCxZgrQ0REdjxgwl77Z7QY31eLFkCUaN0vmuDRsgFuP6dZw4gX//G7m5SEvTcAvNxzJPysshl2PQIDy6M3dDAxoa4OgIDw80NKCpCS4ucHZWUklNDdra4OEBOzsoFPerGjECM2bgiy/UCaDhBvPE31/lV66ucHVV8u+P4ul5/997XKVQoK4Ovr4aBNChkKIbe/eisRGzZ2soRo1F0YGrV7F4MRIT8Yc/aChJ51gUbblwAbGxiImBRAKBQENh2mNRtGLnToSFIS4OX32l2VWgPRZFGxYvxpYtiInBc891X/H01DDNosaiaCYmBp2dD10ZNgybNqm7hRqLwgl0jkXhBGosCidQY1E4gRqLwgnUWBROoMaicAI1FoUTqLEonECNReEEaiwKJ/w/zHDFZy1eAP0AAADvelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAC4g5gbiBkY2Bw0gzczCDqGZYTSbQwaYZkQIQBTCJTAZ7AxgBiMTNwNjAgNrAgNbBhMjUwIjRwITcwYTM0sCC2sGEyunAht7AjtHBpMIExtQkJWBkZWNgZGDXbwJqJkR7sKFBY37lOZy7QdxJAK19wd5p9mD2Jv27LXT7PgLZntefmmfX3YezL7Wz++wRtDCDsT+wj7LfuqBNLDeVwH79zP+3wBmp+dqH+BKebMPbMNxrgO3XhaB9YaHnLd3eiV6AMQWAwBkpTXECKkoQQAAAVF6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9ksFOA0EIQO/9ivkBJ8AwDBzbbmOM6TbR6tUYTbQHPfn/Edq0U5OJ7G4CzAMGWP34en95+3w9fC8XKeRhuj/8pIvQtHA//POaWXouALDYplDSanN7N6f1frk6e9a7p3n/mBASosf485dd7nfbswfTOt1ApkqKFFplZPGQDEfpsZTmOBcxAvFzNavaBmBxEHJpUNXzZ1NoqAOOvTRmJWkSnBAo0ICrno8yccHKfozNWq0DTo75CEoRjZsaYGkyAFv0jJmNpbbQilLTUWkNkrI0rbVEThZsgAPSTiSKFouaxqo6An0rc3SL1gQjpDAxlQG5mac/qzotb7Wbp7489o/6hsKUvocwWx83O1H6VMO0PjyOgD6iwGufgxs9s0UZ7+SqJ/YQvdhxMe3Jo5Pre4d9/mFdX/wCN4yV90N8XA8AAAD2elRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXc4xbsMwDAXQq3RsAYUQKYqk7KkXKHKF1vBQFJGDxO2Uw5fORmnjf/yEPhbsS++0+EN6ebwiCDaVdCIoTExpRqBciqZThpaxuM0ExAVryoDatNZjyUicvE7Z0pyhaK7mc7OsfsXbIo2yeMlaq6aeEaAYe9LYzPCZiJof9HUW1HxkCNxY/EsIxUjteYwqGdKxVxlZ0lv63LfL+bZdpwz336/rtvysO7yffVz73/dt65e171AnjIyBkSeKTqOX6GV0js6j1+h1dIkuo2t0Hd2iW3SZWvQ29B//O96cYWfOidIAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAWk0lEQVR4nO2deVRU1x3HvwMICChbIGgFBQNRwERBhDYuLEI0xhO1LllINETTNDU2aU3MiWkkmlRc4hZryknVoDZV3Bp3RRyVuiSCRgENih4QjSCLqDMIDMOvf7xhQGSZgXeZCfl9Docz782be38zfLjv9+67946CiMAwcmNh6gCYzgmLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixECi8UIgcVihMBiMUJgsRghsFiMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLEYIbBYjBBYLEYILBYjBBaLEQKLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixECi8UIgcVihMBiMUJgsRghsFiMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLHMlx07kJure3z3LhITTRqNkbBY5ktyMnJydI/v3MHq1SaNxkhYLEYIVqYOgGmJTZtw+jQA3L1r6lCMhMUya/z9ERICAEVFUCpNHY0x8KnQrAkKwqhRGDUKI0aYOhQjYbEYIbBY5suECfD11T12csIf/mDSaIyExTJf8vOxaJHu8e3byM42aTRGwmKZLwUF2LMH27YBQEUFLl82dUDGwGKZNR98gI8+wr17po7DeFgss6ZXL0ydik8+MXUcxsP9WObO7NkICkJwMABkZ6OyUvfYzOEWy9yxscHKlfjb3wBg9mwMHozoaJw5Y+qwWoPFMkcuX8bhw/WbI0ciLAxEeOopODjg8GGEhmLsWKSnmy7EViHGzMjNpV69yNaWtm+nsjLdzvJyyskhIioupnnzyNGRAAJo5Ej6/nsTBtssLJZ5kZ9PffoQQEOH0v37zR5WUtJYr9OnOzBKA2CxzIjr18nHhwD63e/o3r3WjzdnvVgsc6GggPr2JYDCwgyySo+kl5OTTq9nniGlUlSQhsNimQWFhdS/PwE0aFB9XmUUpaVN6LVzJ734Imk0REQVFfTyy/JG3RIslukpKiJ/fwJo4EAqLW1XUaWl9PHH1L27Tq+33qLHHqOlS4mI7t8nLy9Z4jUIBRGZ+sL0V83t27djY8tTUvwGDkRqKlxcZCjz3j189RW2bkVsLIqKsGMHUlLg4oKAAOTny1C+IbBYpqSkpCQyMrKoqDgo6MjGjf0fe0zOwonw5Ze4fx/e3ti6FRs3dqhY3EFqMsrLy0eNGpWZmens7Lh+vbO8VgFQKHQPXn4Z9+5h/36Zy28ZvldoGu7evRsTE5ORkeHn56dUKj08PIRWt3o1xo8XWkNjuMUyAffu3YuJiTlz5oyvr69SqezRo4foGvv3x7hxoit5CM6xOhq1Wv3cc88dP368d+/ex44d6927t7i6Cgpw8yZcXeHtjepqnD2LoUPF1fYQ3GJ1KBUVFWPGjDl+/LiXl5dSqRRqFQBPTxw6BD8/fPIJ7Ow6zipwjtUxFBYWZmdnZ2dnb9iwISMjw8vL69ixY3369OmAqqUBzfpJGR0GiyU/d+7cyc7OvnjxovQ7KyursLBQesrDw8PGxmbv3r3irBo9GvfvIykJffsCdWL5+QmqrVlYrPZSXFyclZV16dKlrKwsSaPS0tJGx7i4uAQEBPj7+6ekpBQWFu7bty8wMFBQPKdPo7wcjo66zStXAODJJwXV1iycvBtHeXn51atX9Q1SRkbGrVu3Gh3j6Oj4xBNP+Pv7SzIFBAR4e3srFAoAKSkpMTExzs7OV69edXZ2lj28oiJ4eMDZGWVlTWx2JNxiGcTSpUv379+flZV1+/btRk85OTlJ9ug16tmzZ3PlREdHR0REKJXKFStWfPrpp7LHKZ349O1To82OhMVqnRUrViQlJWVlZQHo3r27r69vk61RC6jVant7e+lxQkJCWFjYsmXL/vSnP7m7u8sbaqOMylQJFlgsQ5CsWrVq1bhx4zw9PVs9vtHp8uLFi126dPnpp5+kZ4cMGfLcc8/t3bt3yZIlS5YskTdU8xGLh820Qm1trYODA4A7d+40eUBZWVlaWto///nPd955JyoqqsmbMy4uLtXV1fqXXLhwwcLCwtbWtqCgQN5ox40jgJKTm97sSLjFaoWbN2+qVKrHH3/cyclJ2lNUVLRr167sOh5N3rt3796/f//AwEDpt7+/f6N2bsCAARMnTkxOTv773/++Zs0aGaOtrPzgmWd8nnxyEuAKIC+vFrDgFsscSU1NBTBs2DD9nh9++KHhB2hjY+Pv7z9p0qR58+YlJydnZWVptdpWi83JybGysurSpUtubq5coWq1WltbW4VCoVKpiKimpsbGxqZnzyEqVZVcVRgOt1itkJOTA8CvwX+9v7//tGnT9Pl77969W03eH8XPzy82Nvabb76ZP39+UlKSLKHm5eVVVlZ6enpKFwp5eXlVVVWWlrfs7a1lKd84Ot7lXxbvvfcegEWLFslecl5eno2NjaWlZXZ2tiwF7tu3D0BUVFSTmx0M34RuhcuXL+PhFksuevfuPX36dK1W+4lMi35IoT5Z120lLnJDYLFa4dFToYzMnTvXzs5ux44djfK2tnHlyhUAvnU3nKVNFssc0Wg0+fn5FhYWPj4+Isrv0aPHzJkziSg+Pr79pTVqokzbYnGO1RI5OeXDh//x2WdfEVdFWVmZ1JFx9OjRdha1Z8+e+fPn37x5U9qUBntduXKl3TG2BRarJb77jgAaPVpsLVJzNXToUBnLrKiosLCwsLa21kjTVTscPhW2RMfcEvnrX//q7u7+v//97+DBg3KVeeXKldraWh8fHysr0/QosVgtIQ1mEj380sHB4f333wcwd+5cat8ophs3bhw6dGjZsmVSL4mbm5s8IRoPj8dqifBwHDuGQ4cQHS22osrKSl9f3xs3bmzfvn3ChAkGvqrRUNULFy40HNXj4eFRWlqanJw8roMn6ABgsVqmZ0/cuoW8PAie9AAAX3311dtvvx0QEHD+/HlLS8tHD7h165Z0d1IyKTs7u7y8vNExbm5u0t3JwMDA9PT0tWvXWlpaJiUlvfLKK8LfwMOwWM1y/z4cHWFrC5UKFmJShobjtDQaTb9+/a5du7Zx48bY2NhGrVFmZmZRUVGjlzs7O/v4+Pj7+wcHB0sjDRtNUZw3b978+fMtLS2/+eab2NhYIe+hOUxyyfCLID2dAHrqKVHlb968uWfPnpmZmfo90k1De3t7V1fXR/9Srq6uw4cPf+utt1avXp2amlpUVGRILQkJCQAkt0S9k6bgm9DNIvSS8Ntvv33ttde0Wq1SqdRPrKisrFQoFI6Ojj///LOTk1Pfvn0bDlVtWyftnDlzAHz44YdxcXG1tbWvv/66nG+jBTrS4l8W8fEE0EcfyV/ytm3bpF6ABQsW6HeuXbvWwsJCoVB8/PHHP//8s7w1Ll68GIBCofjHP/4hb8nN0ZJYO3fuzM/P75g4zJDly8nfnzZtkrnYHTt2dOnSBUB8fLx+5/r16y0sLAAsXrxY5vrqkIZBKxSKDRsuCKqiIc2KlZeX5+DgYGdnl5CQUFNT0wGhmA/vvEMZGbrHmzfTqVOylbxv3z4bGxsAs2fP1u/csmWLdBm4cOFC2WpqiuXLl0dEfKdQ0IoVQushakGswsLCyZMnS6fL0NDQ8+fPC4+ljhs3bixcuPCNN96YO3futWvXOqxePY6OFBqqW7rzz3+mDRvkKfbAgQO2trYA/vKXv+h3bt26VTotfv755/JU0yKJiWRhQQoFLV8utqJWcqy9e/d6eXkBsLKymjVrljTmVRAPHjzYvHnzqFGjGvbi2NnZLVmypINveLm706xZuo9eLrEOHTokWfXuu+/qdzaZbInm66/JwoIA+uwzgbW0nryr1eo5c+ZIf+y+ffumpKTIHkR6evqsWbMea7CmnUKhmDp1alxcnDTq9+mnn/7hhx9kr7c53N2prIx8fKigQB6xUlJSunbtCmDWrFn6nfpka968ee2twEjWrtW59emnoqow9Krw1KlTAwYMkP7kcXFxVe1c3ZeIiCrz8xcvWuTv79/oQrVPnz7KuqXKlUqlNKJIajLvt/BtDXJQVkZaLbm7ExGtW0eTJ+vEas+Mh7S0NGkC2fTp02tra6WdTSZbHcm335KVFQE0Z46Q8o3obtBoNAkJCba2tvNCQujxxykpqY11VlZScjLFxBBQAox62Kq4uLi7d+82PLyiokLfZHp7ex84cKCN9baISkUJCeTsTJs26cSqraWhQykkhBITycWFnnqKkpOpTgxDOXHihGRVXFycfvaOPtl677335H4fRrB5s0C3jO7HysnJUY8fr1tH/Pnnyaj+iDNnaOZMcnHRvRwg4Me6IRYeHh67du1q7qU//vhjSEiIJN+kSZNu375tbOTN8eABLVtGbm66iN58UycWEWVmUpcuFB9PPXrong0Opl27DNXr5MmT3bp1AzBt2jS9VU0mW6ZC79batTKX3KYO0tpaSkoiV1cCyM6OEhKo5f6I0lJKTKRBgxr61PAnFJg4cWJxcXHL1Wo0mhUrVkgNgLOzc2JiYq2xDcjDVFdTUhJ5e+sCCQuj1FQiolWr6o/ZsoWysqiqihIT6Te/0R1pSOuVkZEhrSczZcoUfX/N8ePHpZuDM2bMaGfwcrF7N0VG0qpV5OtL5eVERGo1BQZSaiq90mDk7Jgx9V0whtCOnvfCQnr1Vd0nPWhQs9XOmKH7p2jmR21js+Vf/zK82mvXrsXExEhN14gRI3Kkb1szEq2WkpPJ11cXRWCgQfPQG+k1YEBLeq1evVqhULz00kt6q/TJ1htvvGEmVknU1tLKleTrSzNnEhGpVOTpSQcP0oQJ9cdERJBRl0/tvqWzZw95eRFAVlY0axbp+yOkD66ggBSKFqyi6Gi6fr0N1SYnJ0uj2Lp27ZqQkGB4f0Rtbe3u3T8GBOjq79+ftm41LnN68IBWrarXa+zYH3fu3NmkKPv27dMHduLECem02DDZMh9WrqT4eBo0iE6dMhOxiOjePZo5U3f9unIlFRTQ2LE0ZAgFBdGUKfXNQqOfrl0pIYHa8RGXlpa++eabUtNlYH9ESkpKSEiItbW1p+dVLy9KTKQ2d5BJrVevXhQSMgZAYGBgUlJSc8bok62pU6eaoVVEtHIlLVhAaWkUHEx37+rEcnamwYN1P926dbxYEqdO0eTJVF1Nw4bV9/wsWkShoU1YFRZGbTqFPYpSqZRm0rXcH5GWljZ8+HDJwp49e65fn1olx4IGlZX05Zere/Xqpfd7+/btjVovfbI1efJks705JolFRFOn0hdfmEmL1ZD8fPL2rt/UaMjJiZ5+ul4pKytauLCVZN9IGnbhent7Hzx4sOGzmZmZkyZNkv7wrq6uCQkJFRUVMtZORFVVVUlJSfphLVLrJTl07tw5FxcXABMnTjTVhBlD0ItVVEQ+PmYo1smT1GgaU79+9PXXOqt69CBh9xzPnTs3ePDghv0Rly5devXVV6VRAw4ODnPmzCmXLnvE0EivgICABQsWSEP2JkyYYM5WUQOxiGjNGjMU69o18vWt39RqycWFVCo6dYri40mW00/zaDSaRYsWSTdPHBwcpDbMzs7u/fffLykpEVq1nqqqqjVr1uhvsAIYP358w1XXzJPKSvriCzp+nGpqqLaWysuppoYatuxqtXH5sNxj3okQEoIFCzB6NAAkJWHLFuzbJ2cVLfLuu++mp6fX1NR07949LS0tKCho0KBBH374oT4N6hiqq6vXrVtXXFzs5uYWFxdnbW2KhYSM4fZteHiga1eUlcHGRo4S5Vaf6NIlCg2lmBiKiKDw8Lb1JrSZYcOGATh69KhKpSopKRk4cCCAs2fPdmQMv0T+8x8C6NlnZStQwJj3fv1w+jRKS2FpibrlFTsMtVoNwMHBwd7e3t7eXtrUz4RhmkOpBICICNkKFDaZoql5Jh1AI5NYLAM5cgQAIiNlK7CzTbFXqVQApDsnYLEMo6AAublwdERQkGxldjaxGplUUVEBFqs1UlMBIDwcTU3AbiOdWazq6mqNRmNtbS0N1GSaQ/YEC51MLI1Go9ForKyspMt76bTIzVWryJ5goZOJxZl7G7h8GTduwN0d8n7RXaeaYs9itYHTpw+MGJHTv/9YhULOdVY7lVgOFRUp4eGaup4O6wcPPggKsjHga5V+zezdu/7YseSXXrIF/iBjsZ1KLEeVauTRoxg4UNr0uX9/0dmz4BareYjo2LFjACLlzbA6WY4FtRpAvUmNNplHuHDhQlFRkaenp6/c62F2RrHqekdZrFY5cuQIgKioKNlL7lxiqVQAt1hGoFQqAUTI24UFoLOJxadCY9BqtWlpaRCQYIHF+jWTnp5eXl7u5+cnYrAai/XrRUqwhgwZMmrUqBs3bshb+K9ALH0uzzyMJFZubu7BgwfDw8OvX78uY+GdWqxGuTzzMDNmzJg2bdrGjRtDQ0OvXr06bNiwq1evylV45xLL3R3BwdCvdc6nwuYpLCx85pln1q9f/8QTTxw8ePC3v/3t9evXIyIicnNzZSm/M36BQFoaLlyAuzuionTnQbOfy9DBFBcXR0ZGqlSqI0eOeHt7A1Cr1c8///zRo0c9PDxSU1MfXbTMWDpXiwVgxgx88QUcHJCZieBg3LrFVj1Kly5d7O3t8/LyIiIirl27BsDe3n7Pnj2RkZGFhYWRkZHZ2dntrUO2aRnmwIkTFBxcv8THl19SXJxJAzJfysvLw8LCAHh5eeXWLVioUqmkPi0PD4+8S5faU37narG+/x4jR0Kh0G1GR0OO71rulDg6Oh4+fFi6GNSnVlK7FR0d/efevb0iI3HhQpvL71xiaTRo+L2P1taorjZdNOaOpFFERERBQcGwYcMuXrwIoGvXrrt27frAzU1x6xaionD+fNsK71xi9e+Pc+fqNzMy0O4ktHMjuRUVFSWlVllZWQBsbW0ttm/HCy+gpATh4W1s9eU4X5sNNTUUFERLl1JeHqWmUr9+dPq0qWP6BaBWq0eOHAng88hI0n8bWVUVSYvNOjm14WPsXGIRUUkJxcfT739Pb79NPLPeYCoqKtbExZGdHbm51a8IVFNDL79MADk60smTRhXY6cRi2kxVFb3wAgHk7Fy/ZFFNDcXGEkD29lS3+L4hdMYOUqbNVFfjxRexcyecnHDgAEJDAUCrxdSp+Pe/0a0bcnPh7m5ISSwW8zAaDV58ETt2wNERBw4gLAwAtFpMn44hQ/DHPxpYDIvFPIJWi2nTsGkT7O2xZw/Cw9tQBovFNIVWi7g4bNgAe3vs3q2bfq9WY+VKZGbC3R2vv66fDdUknasfi5ELS0usW4fXXoNaresj1WoxYgSsrfHZZxgzBlOm4NSpFgrgFotpntpa7N+PMWMA4L//xdq12L1b99S2bdi4Ed9919xLucVimsfCQmcVgJ9+wqBB9U8FB+PixZZeKjIuphNha4uqqvrNykrY2bVwOIvFGEZoKA4fhj5xSknR9UQ0A+dYjMHExkKtxsSJyM1FcjIOHEDzC66wWIzBEOHoUZw/jx49MHo0undv4VgWixEC51iMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLEYIbBYjBBYLEYILBYjBBaLEQKLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixECi8UIgcVihMBiMUJgsRghsFiMEFgsRggsFiMEFosRAovFCIHFYoTAYjFCYLEYIbBYjBBYLEYILBYjBBaLEQKLxQiBxWKEwGIxQmCxGCGwWIwQWCxGCCwWIwQWixHC/wH23wZW1AYwMwAAAV96VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAASAWBOIGRnYHDSDNzMzuYAGiGZnZIAIscAmGDBDNxMgGYTAzcjCAZZhgKhE0VAGCAVHJAtfBYAKkGZlY2BgSQAxmDgYFIM3EzcCZwMCVwMCtwMicwMiewMScwcTEosDEkcDCqsDKpsHEzpHAzpXBxMGZwcTNo8HEzcvAy8/CyMfPIMLEysDJwc7FysjMxMEufgpkKtyTBVs69tcuqdwD4hjWX7cvijByALFXtBg7fIpSsgexVdc6OvzvZAeLWzJXODxKv7oPxD7FmOBQ7PB+P4it6zDJ4dNjqwMgdsN7RfvDm2+D9UqtW2l/cvNROxB7yaweuzgFfbD6N8ci9tt83g1Ws6BW8oBbsClYvHSp7IETtrxgc4wrsw6wyR+3BbHFfU4c8NsZBjbH79z8A5c7JMDqxQCWzE5ZXiCBUgAAAcp6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9lE1uGzEMhfc+hS5ggX+ixEUXsZ0GQZAx0LrZFkE3zaarIOcvqcCRggrVjDEj6SNH75EwvdXnn79+P7/8OexSjG+nh5fX9DHotPN1+M9tZumJAWD3mOIlHW7v7rd0vNwcrivH84/t8j2hJqwe49dn9uZyfryuYNrSHjNoA6hpDxmwEHtYhj5GLDmJWRsXtUS5NlVpC47T0bcbiFXybWWh2P6HE8/HGUjR2AMQa7VVvtK5VgtaP6Cgn3UFqn+YcwFAsNDU1LDIAqzpnCSXCsyS9pSNAJUXYPOMoYCKomuvqEIrzpzDHBipb3NTXFqI0BNSFcWuRZtAW2lBdNKBJlpb8eTixuvKRqQgKbM1ciM9pkJjoBXKLtxRcUXUlZPX3XSFSmTlrMoqXYpXk5aaSpCaqRh1KQTmxq9Ijc9LNmML4yEXK41X8m+306cufe/bw3k7jb4V/+HUnX2OowsxLhrdJsGMpoppG60jHiGjQdCnZbRB7NqoNnq8TkUlT1Cn0omH2FSgmI+jeRkkksxmU2DIk6nYV2QyDwP05/Hr3ZeRLM4auM7ezU7F/Prv4O+7v6tw2QyL6NEqAAABZnpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF2QvU4DQQyEX4UySBvLP7te70VIQWlSkfSIAk4pEOKCQqDKw+OlW3d384093tkdnnfb7Z5fdquHw/1C88zPy/5lmVdPOxdmnunutlorcGncEgJj00Zps87QmjRJa4TSiom5JqAqWtyGrTLX7mOQZj7qvoomyP9aVmFO/sGozRUCVEPqLqTCUl1DsKzVSiK3m2jaIPhYUXKlkmZfReCk1MRQTT15I4Cs1Fwgqn4Tg2FuNfXRPiBgtXDPyeSJ1pWCSB5NYP4035GhVBTp5zVG0h7Tc8W3iCn167yJmpVq36SW0Szdp9fr+fN4OX9NCN8/b1/n+eN0hcej/56W3/fLefk8LVeQiUZMAfOIecA2yYgl4DziHHAZcQlYR6wB1xHXgG3EFnAbcQuYQm2E0RCLG5srE4XqaOxOJwrlkURDqI9ifxQKpNDg7Q+iY/lasrzQ8gAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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zZ/fYo0VHEwA9etH1dUkkdBz3GoZyhDWhx9+uGrVKktLS6maPTwu+vrS2bP09CkRkVBIAHG5dO1a/VM5OQRQRoYco2sGZrGDoaFhdna2rH3Hjh0A7O3tm11dIyssIlqxgrjc5wursJBeeIEAOnuW6O/TNeRxaoGao7zOu0QiuXXr1saNG4cNG6mrKwQIICMjmjuXzp4lgObMIQcHYuoy5QiLiObOnQvglYbjlnV1dUOHDsVzZpAaCau8nMzNadgwSkurP1SxAW+9RQC99BIRUUUFmZsTQMeOyfk11A95CkssFv/73/++ffu2rHHevHlN25TMTNq9m8aMIQ6HAFq3jgCKjSVbW9qxg0iJwsrPz2eWQvz444+y9mvXrjFz3vfu3ZO1X75M+/bRr782cJKeTocO0Qsv0NixVCMzO5CdkCAxMSF9fbp/n4hozRoCaMwY6gQno6h4Sic3l4KD6fZtAujWLTp9mgwNKStLecIioqCgIADW1tYCgUDWvmDBAgCenp5SS2Ul2doSQMePN3aSn09WVgTQf/5TLxuxWDx8+HBnU9OsTz4hIkpNJV1d4vGo4WyStqIWc4VMH+vWLSKiadNoxgylCquurs7Z2RnA1q1bZe3FxcXMqhvp+q233yaAXFyo2anwlJT63hTj5tChQwD69u3LLKYo9fEhgFasUPTrqAlqJ6zMTDIwoMOHlScsIrpx4waXy9XT02u0pvnAgQMAzM3Ny8vLL18mDof09FpagPW//5GurmTChE179+5lcuYeP36ciCIiIvR4vLNTp1KnSbGsdsIiom3b6vu4ShMWES1evBhNjoYTi8XMRjF//3V2dgTQP64HO3o0Gn8nohk7dqxEIhEIBNbW1gAOHTqk2HdQJ9RRWDU19OKLyhbWkydPmDrmu+++k7Xfvn1bX1/fxWUdQE5OzTeCjVi+fDkzqsKc4Lpp0yYArq6uz1tRrZWohbDq6sjbu4GMLl8mb2969EipYXz55ZcAzMzMShvOIp0+fXbEiHN6eq1d0ycWiydNmgRg+PDhGRkZzNxRvDZOCLaAWgirKV99RcOHK1tYEolkwoQJAFatWiU1CgQCJsvDF1+04QDpp0+fOjo6jh49mpntfvPNNxUQr1qjpsKaPZsAev99ZZebkpKiq6vL5XJv3LjBWJj5KCcnJ6FQ2CZXjKROnjy5YcOGR0r+L6IGqKmwLl8mgHr3JnnsWG4bzPTzsGHDRCJRXFwcl8vV0dFJSEhoq59p06Y1HXftPKjpQr8JE+DsjMePceKEsovetm2bjY1NQkLC3r17fX19JRLJ5s2bGx1/0ho6eyJJVSv7uYSF1Y9GKp8ffvgBALMJcejQoW1tBBlmzJgBICoqSu7haQRqWmMB8PGBmRmSknDtmrKLnjNnjpeXl1gs5vF4YWFh7TuRsJPXWOorLH19LF0KAMHBKih90aJFIpFoyJAhrq6u7fPACkt9efttdOmCs2eRlaXsogcNGgRAKBS22wMrLPWld2+8+irEYuzbp+yimVH4og7s+GOFpdasXg0Ahw+jokKp5Xbv3p3L5ZaUlPzjVrDnwQpLrXFxwbhxMDTM/+GHeGWWy+Px+Hy+RCIpLS1tn4dOfiCKugsLwIYNN0tKbD7+eIGS/0gdbA3ZGkvd8fJys7S0zMjI+Omnn5RZLrPKr325mcEKS9UB/DM8Hm/FihUAgpU78MAIi62x2ocGCAvAkiVLTExMLl26lJycrLRCmaaQrbHah2YIq2vXrr6+vgD27NmjtELZprAjaIawAKxatYrL5R47dqywsFA5JbLC6ggaIyw7O7tp06YJhcLDhw8rp0T2q7AjaIywAKxevRrA/v37a2trr1692u6hy1bC1lgdQZOENWnSJCcnp4KCgk8//XTChAlWVlarV69WXHe+g1+F7ACpJrFq1SoA4eHh9vb2+fn5ISEhzs7Oo0aNOnjwYFnTLIwdg/0q7AgaJixLS0t9ff233nrr3r17sbGxixcvNjEx+e2335YvX25ubv7aa6/FXLgAOTWRbFPYETRJWIWFhb6+vkKhMD4+vqqqyt3d/fDhw4WFhREREdOnTxeJRCdOnLgZGAhLS6xejTt3OlicsbGxgYGBQCB4+vRpOx7v5MJS36XJjairqxs3bhz+rki6dOni7e0dFRUl3QWam5v70Ucf/TVzJjEZkgAaMYL27evIrnZLS0tdXd32HZHy1ltvAfjyyy/bXbpGozHC2rBhAwAzM7O9e/eOGzdOegi0lZXV1q1bHzx48OzWhATy96cePerlpa9P06dTRESrdjETEVFVVVVoaGhJSYns4SihoaFtUtiiRYsAHDlypPWPaBOaIaxz585xOBwdHZ1rf+f8y8zMDAwMZI4qAcDhcNzd3ZO+/ZbKy+ufefqUvvuOPD2Jx6tX2IYN9PQpbd1KgwYRn0+2trRiBRUWNi0uNzcXgOxpUMzQxsWLF1sfM5MM4jCTV7nzoQHCys7O7t69O4Bdu3Y1/W1CQoKfnx9zUqFg4EDq0oW8vSkqiurq6u94+JB276ahQ+nGDZo8mWxsKCKC0tPp/HlycyM7uwaH2xCRnITFHILXqRKByKLuwqqurma2M8ycObOF07kqKyvPHDtGEybU5wgEyNKSNm8m2Xx8kZHE4zWwVFRQz55NN1zLRVh+fn4ADh482PpHtAkdZX0ktJNVq1bdvn3bzs7u6NGj0n5VU4yNjWe9/jpefx3Z2QgPx9GjyMrCRx/ho48wejQWLsS8eTh/Hu7uGDDg2WNdu8LbG+fPIzCwqc9Tp05Jjz+htn/cMQOk7XhQO1BrYZ0+fTovL8/MzCwiIkL20NSWsLFBYCACA5GYiEOH8P33uH4dN29ixgw8fAhr68b329ri7NlmPV27dk32LOC20smHG9RXWOnp6evXr6+urg4JCXFxcWnz825uCA3Frl04dQr378PcHDo6qK5ufFt1NZ6zH3X37t0ODg7MzxKJhMfjtal8VljqiEAgWLZsWXV1tY+Pj7e3d/sdGRlh/vz6n198EU0PuEtLw6BB7ff/fDq5sNR05H3t2rUPHjwYNGjQhx9+KDenPj5IScGPPz6z3L2LU6cwb57civgboVCYkZEB4OLFi9VNq8nOgEo/HZonNDTU3Nzc3t4+Q+65IjdtIj09Wr2avvqKtm4lPp/mzm2adb0jX4VpaWkBAQHMBDYDj8cbM2ZMeHh407OotRi1E1ZiYqKVlZWFhYWiMkvFxNDixeTpSQsW0PHjJBY3vYXJSNtodEMgEIibu5mhoqLi0KFDI0aMkOpJOngrxdDQ0MfH585PP7WU9UsgoD/+oPT0Z+Nwmol6Cau0tHT48OHm5ubbt29XdSythRmhNf77lNRu3br5+fklJCSkp6c320Q8GDyYDA1p+nQKD6eqqmeOampoxQrS1yc+nwwNic+n5gaENQW1EFZSUlJVVZVYLPbx8TE3N58+fXq7T6tXGiUlJaGhocyROwxubm6hoaFVf2tFLBabmJg0UhUH+L1bt2fT5N260fz5FBVFNTW0aBFZWlJcHBGRSETffUcGBrRvnypfsgOoRlgFBQVMZuLS0tLa2toFCxaUlJTk5eUtWLBgyJAhBQUFKomqNYjF4l9++WXu3LnSpFlmZmYBAQH3mdNyGuLh4dG0xpozZw7l5DQ4Swig06eJx6MffmjwfEAAWVho6ME7HFL697Cvr6+5uXlBQYG7u3ufPn2OHDnCZCbW19cPCgrKzc21bjqMqQY8evTohx9++Oabb4yNjS9dusTlcidOnOjn5zd79mxdXd1mH3n33Xc/++wz6SWHw3nnnXc++eSTZ/dnZiIiAteu1c8NCAQNzr6Oi4O7Ox48gJ2dAl9MQShZyJWVlWPHjiWigoKC2bNnE1FiYuKyZct2MKd+qR+1tbXnzp3z8fHp06ePubm5ubn5qFGjPv3009YsoYmIiJD+OxsaGnbr1q1EZnFYYWGhqalpWloaEdH+/cTnN34+K4sA+u03eb6PslD2AKmxsfGQIUN8fX0NDQ39/f0lEklwcHBISMjWrVuzs7ObfkkpmtTU1Lt3777yyitNf5WZmXn8+PETJ04wq5P19PQ8PT3feOMNd3f3FmYtZRk2bBjzg6Oj4/vvvz937lzZvRVisbiwsLD+4GBjY1RUoK4OspUfsyq6A9NKKkTZwiovLy8qKvL397948eL333/v4eERHh4OICQkRHGFxsfHFxUVzZw5E0BOTs6VK1d0dHRefvnls2fPWltb5+XlRUdHOzk5mZqaAhAKhdHR0ceOHfv111+JCIC9vf1//vMfHx8fZvVO67G1tU1MTPz5559XrFjxvI/EelxcIBYjIQGjRj0z/vYbunaFvX3b31j1KFtYSUlJ1tbW7u7u7u7uI0aMqK2tbV/q2Nbz8OHDL774ghFWenr6u++++84771RWVgKoqKg4cOBAfn6+RCIZPHjw77//fvLkycjIyPLycgBdu3b19PT09vYeO3Zsu0t3dXVtVRZTR0eMG4eAAPz4I5hvyawsfPopli7Fczpwao6yheXq6hoUFPTJJ58UFxdPmTJF0aoCEBgY+N///pc5YOLIkSPr16//17/+xaTanjZtWnx8/MiRIwcMGNC9e/eJEydWVVUBGD58+Lx582bMmGFoaCjfYBwdHZnlNGi65fCbbzBtGgYNwtixqKnB5cuYMAHbt8s3AKWhbGGZmJicOXMmIyOjW7duZmZmii7u9OnTVlZWjo6OzGVWVlZ4ePi3335bXFwcGhpaXFy8fPlyGxubGzduGBoa+vr6MmNpdgr7CouMjJSu/ykuLm4wHmFlhaQkxMQgLQ06Oti4ESNHAoBEgs2bsWiRhn0bqvrrQYGUlZW5uroeP348KirKzc0tOTnZ29s7MzOTiA4ePKjkbQ63bt0CUCxzHHl+fj6A5OTkf3jys88IICsrys5WbIhyRU1XN8gFsVi8Zs2aurq68vJysVhcXV3t4uJy/fp1APfv3+/du7eqA2wdb7+NceOQm4tJk5Cfr+poWouarseSC927d3/jjTeYn3/99deRI0cOGjRo69at586dc3FxYQ5R0gAMDXHuHCZPxq1b8PDA1atQfBdCDqi6yuws5OXlBQQECAQCqaWioiIgIKC181elpeTqSgANGUIy7anawgpLc3j8mAYPJoCcnTuyvfvmzZuBgYGylnv37q1Zs6aFTVDtQJv7WNpGr1745RcMHIg7dzBtGqqq2ucmNTX14MGDspacnJwvvvhCvhmXWGFpFKamiI6GrS3i4+HlBYFA1QE9F1ZYmoalJWJiYGGBX3+tXry4trZW1QE1jzZ/FWot/fvj8uXa116bER/f9dVXIyIinrdu53lUVlYySVYYcnJy5B0iW2NpKAMG3P3666TKyjNnzixYsKCt6Vg5HI6uDDo6Cqhf5PghwKJkkpKS+Hw+gIULF7aw0UOKRCKJiYkJCwszNTWVtUdHRwOQZhqTC2yNpcE4Ozv/9NNPxsbG4eHhS5YsoRYXA8fHx48dO3bKlCl//PGHEmJjhaXZjBo16n//+5+RkdFXX321Zs2aZu9JS0ubOXPm6NGj4+LiLCws6pcWKho51n4sqiI6OppZCLRlyxZZ++PHj/39/ZkulJGRUUBAQEVFxcmTJ93c3GRvi42NtbS0bE1j2npYYWkJp0+fZr4NP/roIyKqqqrauXMnky1HR0fHz89PyXufWGFpD5GRkUzlNHPmTGaZNYCXX3757t27yg+GFZZWERYWxuFwmHW5pqamu3btqmuyVf/YsWNhYWGylnPnzu3evVu+kbCdd62CWSsrEokAFBYWrl271tLSctmyZRcuXJCO0cfExFy4cEH2qfj4+MjISPlGwgpLq3jvvfeIaN26ddeuXVu7dq2tre2jR49CQ0O9vLx69+7t4+MTERHByE7hyLcCZFEhp0+fBtC9e/cnT55IjSkpKTt37hwzZox0L+ScOXNeffVV2Qc3bdrk7u4u32BUsMWeRRGIRKKhQ4emp6fv2bNn5cqVTW/4888/z5w5k5KSIhaL4+Pjvby8pL+6fvb/Y4kAAAHSSURBVP26vr5+bGysHONhJ6G1hAMHDqSnp7/44otLly5t9gZbW1tmBNXX11dXV1c2WXCXLl3kXr+wwtIGysrKtm/fDqBBxpHn4+jouG3bNumlSCS6du2afENiO+/awMcff1xcXDx+/PhZs2apOpZ6WGFpPNnZ2Xv27OFwOJ9//rmqY3kG2xRqPO+9915NTc38+fOlyW1apnfv3kKhUNbSo0ePPn36yDcq9qtQs7l58yaTiuLu3btqlbCObQo1m3Xr1hHR2rVr1UpVYGssjSYyMtLb27tXr14ZGRlNE+mqFrbG0lRqa2s3bdoEYPv27eqmKrDC0lz27dv34MGDgQMHMke5qhussDSVrKwsZohBIXtsOow6xsTSlK+//rpnz57Tp0+XWjw8PKysrNQ2Zw5bY2kGJ06ciGl4Jt758+dv3Lihqnj+EVZYLAqBFRaLQmD7WBpDfHz8li1bpJeJiYn9+/dXYTwtwwpLYxCJRLKHtSpphXF7YYWlMYwdOzYoKEh6uXjx4rKyMhXG0zJsH4tFIbDCYlEIbFOoGfD5/EYTgrKL1tUQdnUDi0Jgm0IWhcAKi0UhsMJiUQissFgUAissFoXACotFIbDCYlEIrLBYFML/AQR5oMzuhvP+AAACN3pUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAApIJYG4gZGdgcNIM3MDKMZGUA0IyMbhM8Cl2dAk4fwWTggNBNMPTqNbh5O/QwqQJoJSV4BSMO56DQHWJqJwUCDEcTnABKSIMKxJD/XrzQnR0OGQRsmqYdNkpuBO4GBN4GBX4GRiYGRJYGRM4GZJYOJmVWBmSuBlY2BlV2BnUODiZMrgZM3g4mLO4OJm4eBl4+BX0CDiV+QQVCIhVFQnEFYhEFYlEFYjEFYnIFdgkFQkkGEiZWBm4uTl5WRhZmLU9wJ6AKwI8ChvmbtB3uN/umOO/KVnfySNtgJ/FrtmLVH22nb5712ga83OzYzaDuxx0vsW2o7x/F8ub7TkoK9+wrOLXN89FLfKVLcfP8z+6mObt+MnOK8T+xfmD7d8dgdE6epqR775u/pdkz7buy0mSfQ/vqWDseInYZOb/Sr7R+7L3E8807DabKVob2J4CzHDGNtp5vx6+z9Aic6RoprOC1W3mnf9KjD0eKHhlP5vvf2bwIXOz7SVHHiui7ucLtypaPJI0WnUyGiDm1Rkx25rss5xf7Td3D5NcPRQl3ayWO/qENsbrujkKqcU9p3HYfUVc2OjGcVnVaEtzhoxlQ51t+UcspQmuFQa1/u6BohDtSb7hC9Mduxil3G6VfdDIeyB/WOHopyThY/vByOGLY6Ms2SdGqcmrz/TH2Lo8ANc6eJ/FX25brNjl18sk5iAK6znL3H3on2AAACynpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1VsW4bMQzd/RWaC0QQKZIShwyxnaZFYRto3K5F0KVZOhX9/lKi7JOW3sWARD3yHslHBf+Wtx8/f729/97vQnu+Hr+8/wn3Jx93Zk//+VPV8D2nlHan0BZh//zy+RwO16f9zXK4fDtfXwNKwGI+9q7Yp+vldLNAOAeItSYLGaBGJVJbUYqVFdLki4ZMMROxWREiaWnnhFEzpRmZw6eGbMeGxEhV1ZGFE89ICofwkCKQEbDPa+ScetAcq5QlKNvnH1rU1KM2fqk6VEulGSoOLcDoSQlLWxHFQiuBYlQfILJQHfkjS4NyROirO7QOrsqlQUsk8QJQVIUFquFiBagg4shUa3YkZViyAuuWQbUCelaceVQVc8YFCh0qitlrhdzTNqhxX6FoUIhZcHQVhIpDE2JdoK1Z1kwScq4ASQYBwqWsQD1qLXl0gIDbiiAmSrpA2aKiNQuHWKB22ZisjMgKFYtqUHucK4G2ZLLGLqAZWqyuJiLqcrIKAGKH1li8whu0jqja+yrW116s3CTWxWCF//jyiHcH7YxLQnEH4oqDMa/VxdYzipBdCBytuDxowFoyBItqqmNChxL34uUS66Bxh6JBcxTs8wfmlLu+jXFKZUkOs0cVZo+qromeHC76RrKS5QgFyNMS0uxczbBy5fChCbxWTY61qSGfBRWXbTg9vb4+1ruLmIupt8ioctYyeodCuHmQ3Fyez8fl/vEbaX85H7cbiewHuN07fU/b7QLtle0OAcPk7Z4g2/J2F7QtTANP9vI21O1zsg1uOwWYxhMsRJlmsO3rNGhoMXSaJupOMA2NW2iaDeqBcBqBtjXvSektZcNOgsYOLJNioVvqJExoQDtp2oZJhd2ONIkNGhxh0pRbcJKOW/KkELfQJACw/PFOE8v41NLwub1tf/tnZevdP6MyU63PTOncAAACUnpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF2ST28TQQzFvwrHpNqOxv9m7KyQQBWIE1QCcYlyKFEOiHZTlcCpHx57yqHrHLI77721Pb+ZvV4dbjZvv2w/b/afDtsjLMvLCx7Hc9kMd3/z7rDZc7s6bIf85WY8xt+I//8a3zxvrmtRtQlakYY8sRRrMLsKJn2CXrh1mJiLGbTZw9BayFWVQmYa6Q6CE2hpXiXkzlXma/CirKEbSoviCNJGdVbXrQhVr05FWw+Z+oTeQ6qGaF3ZWxKzTAiFLSbBYjRUXyAWVrMQu3jDWkwBo4SQjCwS4QxFO4XKIBNDqVxtRq+Aoy6o12d3u8ue1UpjZGYLWcUg0v4LmcFwIvMdu9jZu/s2ANFFLd2pjKxpIDVUjqxQwxiutyGT9VECG2MUqdhCZlEcc0jFmQp04JAbG0VtrpVnLkBxLuJyl9ESMOQujCGzeLgXjY5U/Eh9PnfJiXrHWjtFuIlE2AzpZT4U37l/M7YIXjvgVUR1mblxHDlAbYMpYxxAi4997yi+SZe1VtxOd5fzw+3T+XFXy8P5/tv58v3u/rQcTwVc+f3nx+P5+Ot0KV8/+PK0/P35dF4eTsulLHc7eOW/v/Xla7/tcG1jsmlt08qWHa9tTrasbVnZumtruyW7r+2ebF3bmmxb25ZsqIlLzYEMDnIgoQPMgQQPKAcSPuAcSAAhE/SLnO8DvKb68TbW+UYksJDJQkILa7a0gwQXLAUw0cWaA4kuQg7ki4k5kOhipouJLma6mOhiovv8D8Z+vpM1tEyRAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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adMEAsG+fftqdC30yx6WYCwPj7yzZ8VZWfNYyc6isXx8fAYPHlxbW/vTTz8xn10/lmAsap7dXTZ674SQjIwMAOHh4cxnB4cf75j9ACkApVJpb29vbW2tUCisrBj9r1JQUNCrV6+OHTuyYmsAVVVVYrFYpVLdvXvX4C3g6MASaiw7Ozt3d/fGxsaysjKGU1PtIFvVFYB27dpFRESo1eo9e/awpUErlmAsANR0TearDRY7WE1wszW0KGMx/7T/1KlTYLXGAhAZGenm5nbu3LlLl9i5L9aKhRiLlf57UVHRn3/+6erq+viLpsxja2s7adIkAJya7GAhxqJeuLvH7CAptQJbWFgYw3cMT0O1hgeNX4TedFiIsVjpY3Ghg0UxdOjQ1NTUs2fPsi3kbyzEWFRTyHAfi/VbQgA3btzo0aNHQEBAcHCwSCR6OuDevXs9evTo0aPH1atXmRRmZhth6oL5Gqu8vPzatWtt27YNCgpiLOnTKJVKyjENDQ1aAxoaGqgAhULBpDALqbE6deokEAioN2SYyXj8+HFCSGho6OMvEvI0YSHGEolEbm5uSqWSsZ3iudPB4iYWYiww3hpyoYPFZSzNWMz032UyWX5+vq2t7XPPPcdAOnPEcozF5BjpqVOn1Gr1c889Ry1pzPM0FnJXCGbHSDnYDkokEmdn56ePy+Vy5sXAkoylpylUqVRxcXGzZs2i1rU2Hg723Lk2u8FyjKWnKUxJSfnoo48+/vjjl19+edWqVSEhIcYkqq+vz8nJEQqFoaGhxpRjWr744gut87HKy8sXLlzIvB6zX22mCWoYsFu3bk+fKigomDp1atOA08iRIw1Yi7aJ3377DUBwcLARYk1G04wGXduf3Lp1iwo4f/48k8Isp/PeNNxAnhojDQwM3Llz559//imRSFxcXKRS6UsvvdS3b98dO3Y0Nja2NhEHO1gcxHKM5eDg4OrqqlAoKnTsau/l5bVmzZrbt28nJiZ26tQpPz9/+vTp3t7ea9asqa6ubnkiDnawuAiT1SOtNDY2+vn5ubu7BwQEJCcn61/+ValUJicnBwYGUn8EJyen2NhYqrZrNgu14u39+/dNp91wONsUWo6xEhIS8NdORgC6dOmyYcMG/Zt4aTSatLS0ESNGUJfY2tpGR0fr33QpKysLgL+/v6nlGwhvLHopKSmhVnrZv39/cnIytYtky6ui3Nzc6OhooVAIwMrKasyYMVKpVGsktSTp3LlzafgShsAbi16mTZsGIDIykvqo0WikUim111ILqyJCyM2bN2NjY5sG0/v375+cnKxSqR6PGTduHIAdO3bQ9U1aCW8sGsnIyBAIBHZ2dk//cR+vigQCgZ6qqImysjKJROLm5kb9Hl27dk1MTKyrqyOEaDQa6vgff/xB03dpLXV1dZmZmdQCXVoDFAoFFcDwxplmbyyVSkVNtVu9erWumJZURU8gl8sTExN9fHyoS/bu3UsIuXjxIoBOdOzdY3GYvbE2bdpEddWbXaT/iarI19e3qSrSRWNj4+7duydOnEi5cPPmzQDeeOMNU34BC8W8jVVRUUEZJTU1tYWXKBSK5ORkPz8/yl7u7u4SiaSioqIl11L7QG/ZssUIyc8K5m2sOXPmABg5cmRrL1Sr1WlpaQMHDqTs1aZNm5iYmGY3haceR9K9CbRlYMbGysnJofZBvXLlisGFnDx5csyYMdT+ANRAg67dAG/evAmgffv2ZrEPJeuYq7HUajVV37z//vvGl5afnx8TE2NnZ0dVYEOGDElLS3vCQN988w1asH0hD0WrjbVw4cLQ0NCEhARdAUuXLg0NDY2PjzdOWDNs27aNukGTy+WmKrO4uJh6Sk3Zq0+fPo8/Gpo9ezaA9evXmyqdZdNqY73wwgsAYmNjdQVERETQPTZdWVnp7u4O4Pvvvzd54TKZjHpKTdlLLBZLJJKqqqru3bsDyM7ONnlGi8QsZzesWLGivLx82LBhr732mskLd3R0XLx48Y0bN7766quAgIDi4uIPP/zQx8fn+vXrrL+eakaYn7Hy8nD8+PRevUI3btxIXxY7O7vZs2cXFBRQT6mrq6vd3NyCg4Mf34SXRw9mZixCsGQJCgsHjhp1umnSC30IBILIyEipVLpv374HDx7k5+cbMDHw2cTMjJWcjBMn4OmJVasYzTthwoSePXtWV1dTK63xNIs5GUsmwwcfAMD69dD2phO9REZGgmNrUHEZA3sMZ86cWbFihdZT165dM0KPPlavRnExhgzB66/TlEEfY8aMiY+P/+mnn9avX89CenPDQGNlZ2dnZ2ebVop+CgqweTOEQiQlobl9dGkhNDTUw8Pj5s2bV69e9ff3Z0GBWWGgsV588UVdt/qbNm2iY3fGhQvR2IjYWPTta/KyW4SVldXo0aN37Nhx4MAB3ljN09qBL1YGSL/9lgDEw4NUVZmw1FaTkpIC4Pnnn2dThJlgBp13uRzvvgsA8fFgagdT7YwaNcrW1vbUqVMPHjxgU4c5YAbGiovDvXsYMADTp7OsxMnJKTw8XK1W//zzzyxL4Tw0Guvo0aPGr1Z1/Tq+/BJWVkhKAtuLXgMA9YIGP+jQLHT9VtXV1VFRUcHBwYcOHTKmnNhYKJWIiYFxC3mYDGo06/Dhw/wQvH7oMpadnV1YWNiDBw8iIyMXL15s2M/w4484ehSuroiLM7lAA/H19Q0MDKyurqZ2k+PRBV3GEolEBw4cSExMtLa2/vLLL4cOHVpUVNSqEtRqvPceAHz6Kdq3p0OjgfBD8C2itbeRmZmZhw4dKiws1BWQnZ196NChixcvUh+zsrJ8fHysra3Dw08cPty6XJcukQULiFrdWo30Qi0KonW9JJ4mmJiaXFZWNm/eDwCxsiIrVhDqfb5ffyUxMSQmhvz8s/ar1q0jMTHkp58YENg6VCpV+/btAVy9epVtLdyFoTnvGg1JTCQ2NgQg4eHk3j2SmEgAAhAvL+3DnuHhBCC630Jlk+joaPDTlPXC0B28QIDFi/HLL+jQASdOoF8/lJY+OlVSgtWrmVFhMqhBhwMHDrAthLswOjQUHo4LFzB6NHx8HvXHxWJYW2PzZuTkMCnEWEaPHk0NwVdVVbGthaMwPebYvj0OHcLhwxAKAaBLF8yZA7Uab70FtZphLYbj5OQUFhamUqn4IXhdsDCYbWUFV9e/P65ZA2dn5OYiKYl5LYbDt4b6Yf8pSdM845UrwewOqUYxduxYAEeOHFGpVGxr4SLsGwvAokXo0QNyOd5+m20pLcbX1zcgIKCqqur06dNsa+EinDCWrS2oV7l++AFmNKDNt4Z64ISxAIwYgSlTAGDxYjC7Fajh8M929MAVYwFISICzM27dgrm8rDB48GA3N7crV65cv36dbS2cg0PG8vKCRAIA8fG4f59tNS1AKBSOHj0afKWlDQ4ZC8CiRQgKQk0N0++jGgw/708X3DKWtTU2bYJAgORk3LjBtpoWEBERYWNjc/LkyYcPH7KthVtwy1gAhgzBjBlQq82jNXR2dh46dGhjYyM/BP8EnDMWgHXruDWzTz+RkZFt2rQpLi5mWwi34KKx3Nw4NBdZD7W1tbW1tbNnz66oqFiyZImuAI1Gw7w21mFttachQxAfjw4dtJ+NiYFCAaUSQ4YwK6vFlJWVeXp6AsjIyBg8ePDTAXK53MnJCcAvv/wyfPhwpvWxDWvGGjAAAwb8zxGZDDt3QiDA/PmwsoK2KoDHbOBQU1hfj4UL8eGHbOvgMQUcMpabG6ys8OABnsk+iaXBIWNZW8PFBWo1+FmZFgCHjAXA3R0AysvZ1sFjNLyxeGiBW4tLm6Ox5syZ07Zt26ePP5vDV03wxjKWy5cvsy2Bi/DGMpaUlJR+/fo9fby2trYvW8tacgDeWMbSsWPHrl27Pn1cLpczL4Y78J13HlrgjcVDC7yxeGiBNxYPLXDOWAIBystBCNtSeIyDW8aytYWjIxobIZOxLYXHOLg13ADA3R0yGcrLWdjfq1V4eHg0NDQA0LU1pqOjo/4Ay4Zz37l79wZra01lZSPgyLaWZrCxsTEywILhVlMIwMNjrkzm+/DhGbaF8BgF54zl5uYGgN+sxtzhjcVDC7yxeGiBNxYPLfDG4qEF3lg8tMAbi4cWeGPx0ALnjGVvb29vb69QKOrq6tjWwmM4nDMW+ErLIuCNxUML3DVWRUUF20J4DIe7xuJrLLOGNxYPLXDXWJWVlWwL4TEc7hqLr7HMGgHh3nsLMpmspqbGzc3Nzs6ObS08BsLFGsvJyamiouLzzz+/dOkS21p4DISLxgJQWVmZlJRUW1vLthAeA6H9ZQq5XH7s2LGSkhKxWBweHu7i4kIdJ4RkZWUVFBSIRKJ+/foFBAQAKC0tPXDgQHR0dJcuXQD4+vo2NDSkpKRERkY6c/ytHZ4nIHQilUr9/f39/PyGDRvm6+vbq1evjIwMQkhFRcXYsWM7duwYHh4eFBTUoUMHiURCCNm1a5dYLA4KCtq8ebOvr+/GjRv79u0rFotTUlJo1cljcmg0Vm1tbUBAwPz58+vr6wkhJSUlAwYMCA0NJYQsX748ODj48uXLhBC1Wr18+XKxWHzmzBmFQpGbm7t9+/bJkyeLxeJZs2bt2bMnPz9fqVTSp5OHDuitse7cuVNXV9f0ce3atWKx+MGDB0qlsqioqOl4UVGRWCxOSkpq+ti/f/9Vq1YNGjSopKSEVoU8NEFv571Tp0729vZNH6l3gpVKpa2trbe3d9NxW1tb6jiAe/fuRUVFBQUFrVmzpk2bNlOmTKnil+c2Qxi9Kzx58qS3t7dYLH7i+IkTJwAMHDgQQF5e3sOHD999910rK6t333334cOHRUVFTIrkMQ2M1Y2HDh0Si8WpqalPHK+urg4JCYmKimo6UlVVRf1Do9E8fPiQMYU8JoQhY+Xm5vr5+c2bN0+j0Tx+vK6ubvLkyUFBQY93uXgsACaMlZ6e7ufnN3PmzIaGhsePl5aWjhs3rlevXleuXGFABg+T0NvHIoQkJSXNnDlz3LhxW7dufXz1lezs7FGjRsnl8oMHD/r7+9Mqg4d5aHwILZPJ3nrrrd9//3306NETJkxoOt6vXz+pVCqRSFxdXd977z0HBwfquLu7+6BBg2gSw8MwNBorNzd36tSpTx9ft25dUlLS0/d6oaGh27dvp0kMD8NwcdoMjwXA0dkNPOYObyweWuCNxUMLvLF4aIE3Fg8t8MbioQXeWDy0wBuLhxb+H64jjvnL/J1iAAABVXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAA+KG5gZGfQANLMzIxgmpGRzQHMZ4HR6OLsEJoZRsPlGRSANFw5Os1goMEIYogBCUkOIOFYkp/rV5qToyHDoM3NAJRjUmBizmBiYk9gZmFgZk1gZctgYuVkYGNPYOdg4ORi4ORm4OQB+UGEkZWJmZWNXXwTyDwoZuCrz8rZv15khiODg7HTQ+7D+09tmu349JOpU7TTvn2/6uY7hkfrO+V/OGonvn2O455rWk6ZDPr2j49PceSfo+nE8lzH/l/IMsc+Nw0nmZqHtvbX1zm2q2s7CVSx7XdbuspRtVTf6Udw8/51N9Y5bnMxcjKN22W/VW2F4xcdZacPy5/Za9QtcHw+V9FpsoSIwzTntY7RTCpOQs0B9jxMaxx7LBWc+tgC9ot79DpKiJo4iQEAci5UnrmV2k0AAAG8elRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZPJjhMxEIbveQqfkcaq1cuBQ5YRIJSORDJcERppxHDgxPuLKjsduy+0e6vK12X7/yv0Jr9/vP76+f5nvwt+fDt9ff8bHgefdpaH/5y11vCdAWB3Dv4SDs+fvizheNsf1szx8rLcrgHFT/CxZfe3y3nNYFjCE8RKrGBRjYA2IIjEguS5x8cUPocnjEpcOiqJ2FGNUjLNKIejV+WMqaOVMzjKsXDdoGKokSXdSS1VnKSYoeaZVJsfYircyBK15tRJAZKZTK1myupZgpgraichlTqT2bYPEfueCWNRxfvspaSZLF0oJeWOMkO+bynJZvrahQJK8KhauqaaMs4omlsBo+iKArYFii+aN0tFtLJWCwj6riA1dQ0VkI2m6FZRZJR71eTzG2r1oXk2UG6qFhTtqLoUrSpo2laV8MElsL5oDuRonlFvAHs2tcJ5f71+JFq/eV5Om3brDXi4LKfRgD5oNJmHPBpJ/BrN4mEZHYGW0GG7/56GtxaEPAxEC3FySQwpkxNoTJ3kxpbESdWeoUm8nuFJI2y3WYB5ux6v/1V73/0DLWXEk1ludg8AAAFlelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicZZCxTgMxDIZfhbGgNLId23HuJoSQmBASY9WhVB0Q6rUqhakPT3xlIGG4s/J9fxTbK6K79fNi9bS+3eL2WhcPc51//k0T1nJzWSwhGpIGzFEVKLBEINCx8kJJApYICBiYPSfjEqNQMueslDzPlsnzKaM6LykHTtFSobFS05mKFQ5MMUPJFaulii1KyeqYgdhxFg4EMRcUx6BWRowsGghrJ1YCu01OrfZbs6D13UoZmEaKCdmzKha4XgFKo8/I4lR8lHpF1HtDn6xSE8G5N7N5ciFJzlOC6yjK7JMD6W/cfCGiGW/D5nzYv5wOxwHi59fb8bD92J3j62M97qbv99Nh2u+mc5w2A/7x9y/1+NfLQK2mTqdWp0YjD9x67r20Xnqvrdfe59bnxttgrbZOl1aXTiN0u4E+0C8P+/6w2x/Sv0S3Qux3ePkBKVTrj+zIP80AAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
        "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "  subpocket                            smiles  \\\n",
-       "0        AP                 Nc1c[nH]c2ncccc12   \n",
-       "1        AP  N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1   \n",
-       "2        AP                    Cc1cc(N)[nH]n1   \n",
-       "3        AP                     Nc1ncc(C=O)s1   \n",
-       "4        AP     COCC(=O)n1cc2[nH]nc(NC=O)c2c1   \n",
+       "  subpocket                               smiles  \\\n",
+       "0        AP                    Nc1c[nH]c2ncccc12   \n",
+       "1        AP     N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1   \n",
+       "2        AP  CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1   \n",
+       "3        AP                       Nc1ncnn2cccc12   \n",
+       "4        AP                       Cc1cc(N)[nH]n1   \n",
        "\n",
        "                                               ROMol  \\\n",
        "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   \n",
@@ -385,44 +385,44 @@
        "                                      ROMol_original kinase family  group  \\\n",
        "0  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
        "1  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
-       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
-       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
+       "2  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
+       "3  <img data-content=\"rdkit/molecule\" src=\"data:i...   AAK1    NAK  Other   \n",
        "4  <img data-content=\"rdkit/molecule\" src=\"data:i...   ABL1    Abl     TK   \n",
        "\n",
        "  complex_pdb ligand_pdb alt chain  \\\n",
-       "0        5l4q        LKB   B     A   \n",
+       "0        5l4q        LKB   A     A   \n",
        "1        5te0        XIN         A   \n",
-       "2        2f4j        VX6         A   \n",
-       "3        2gqg        1N1   B     A   \n",
-       "4        2v7a        627         B   \n",
+       "2        8gmc        YFV         A   \n",
+       "3        8gmd        ZRR         A   \n",
+       "4        2f4j        VX6         A   \n",
        "\n",
        "                                     atom_subpockets  \\\n",
        "0  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...   \n",
        "1  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
-       "2          AP AP AP AP AP AP AP AP AP AP AP AP AP SE   \n",
-       "3                AP AP AP AP AP AP AP AP AP AP GA SE   \n",
-       "4  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
+       "2  AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...   \n",
+       "3    AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP   \n",
+       "4          AP AP AP AP AP AP AP AP AP AP AP AP AP SE   \n",
        "\n",
        "                                   atom_environments  \\\n",
        "0   16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na   \n",
-       "1  7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...   \n",
-       "2                5 5 14 14 14 14 14 14 14 8 8 8 8 na   \n",
-       "3                    14 14 14 6 5 5 14 14 14 6 na na   \n",
-       "4  8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...   \n",
+       "1  7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...   \n",
+       "2  4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...   \n",
+       "3      14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na   \n",
+       "4                5 5 14 14 14 14 14 14 14 8 8 8 8 na   \n",
        "\n",
        "                                      smiles_dummy  fragment_count  \\\n",
        "0                    [11*]c1cnc2[nH]cc(N[27*])c2c1               3   \n",
        "1     [12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1               3   \n",
-       "2                              [22*]Nc1cc(C)n[nH]1               9   \n",
-       "3                        [15*]Nc1ncc(C([41*])=O)s1              17   \n",
-       "4  [8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12               3   \n",
+       "2  [39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1               1   \n",
+       "3                           *Nc1ncnn2ccc([25*])c12               6   \n",
+       "4                              [22*]Nc1cc(C)n[nH]1              10   \n",
        "\n",
        "  connections connections_name  \n",
        "0    [FP, SE]   [AP=FP, AP=SE]  \n",
        "1    [SE, GA]   [AP=SE, AP=GA]  \n",
-       "2        [SE]          [AP=SE]  \n",
-       "3    [GA, SE]   [AP=GA, AP=SE]  \n",
-       "4    [SE, FP]   [AP=SE, AP=FP]  "
+       "2    [FP, FP]   [AP=FP, AP=FP]  \n",
+       "3    [GA, FP]   [AP=GA, AP=FP]  \n",
+       "4        [SE]          [AP=SE]  "
       ]
      },
      "execution_count": 9,
@@ -477,38 +477,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>2561</td>\n",
-       "      <td>1001</td>\n",
+       "      <td>3240</td>\n",
+       "      <td>1201</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>1866</td>\n",
-       "      <td>862</td>\n",
+       "      <td>2385</td>\n",
+       "      <td>1100</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>1560</td>\n",
-       "      <td>606</td>\n",
+       "      <td>1962</td>\n",
+       "      <td>743</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>1024</td>\n",
-       "      <td>306</td>\n",
+       "      <td>1305</td>\n",
+       "      <td>355</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>98</td>\n",
-       "      <td>42</td>\n",
+       "      <td>126</td>\n",
+       "      <td>47</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>92</td>\n",
-       "      <td>42</td>\n",
+       "      <td>113</td>\n",
+       "      <td>59</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>7201</td>\n",
-       "      <td>2859</td>\n",
+       "      <td>9131</td>\n",
+       "      <td>3505</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -516,13 +516,13 @@
       ],
       "text/plain": [
        "       original  pre_filtered\n",
-       "AP         2561          1001\n",
-       "FP         1866           862\n",
-       "SE         1560           606\n",
-       "GA         1024           306\n",
-       "B1           98            42\n",
-       "B2           92            42\n",
-       "Total      7201          2859"
+       "AP         3240          1201\n",
+       "FP         2385          1100\n",
+       "SE         1962           743\n",
+       "GA         1305           355\n",
+       "B1          126            47\n",
+       "B2          113            59\n",
+       "Total      9131          3505"
       ]
      },
      "execution_count": 10,
@@ -557,7 +557,7 @@
    "metadata": {},
    "source": [
     "## 3. Filter for buyable building blocks\n",
-    "The [Enamine REAL Space](https://enamine.net/compound-collections/real-compounds/real-space-navigator) contains over 19 billion building blocks that can be used to create compounds which can be synthesized on demand. [DataWarrior](https://openmolecules.org/datawarrior/index.html) is an open source software which can be used for searching building blocks in this huge chemical space."
+    "The [Enamine REAL Space](https://enamine.net/compound-collections/real-compounds/real-space-navigator) contains over 19 billion building blocks that can be used to create compounds which can be synthesized on demand. "
    ]
   },
   {
@@ -576,15 +576,15 @@
       "\u001b[0;34m\u001b[0m    \u001b[0mpath_to_building_blocks\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
-      "Read in Enamine Building Blocks from SDFile created with DataWarrior and check if the fragment\n",
-      "molecules are a substructure of building block molecules.\n",
+      "Read in Enamine Building Blocks from SDFile created with filters/enamine_substructures.py\n",
+      "and check if the fragment molecules are a substructure of building block molecules.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "fragment_library : dict\n",
       "    fragments organized in subpockets including all information\n",
       "path_to_building_blocks : str\n",
-      "    path to SDFile with resulting building blocks from DataWarrior is saved\n",
+      "    path to SDFile with overlapping building blocks is saved\n",
       "\n",
       "Returns\n",
       "-------\n",
@@ -592,7 +592,7 @@
       "    Containing a pandas.DataFrame for each subpocket with all fragments and an\n",
       "    additional columns (bool_bb) defining whether the fragment is accepted (1), meaning found\n",
       "    as a substructure in a building block, or rejected (0).\n",
-      "\u001b[0;31mFile:\u001b[0m      ~/micromamba/envs/kinfraglib_custom2/lib/python3.9/site-packages/kinfraglib/filters/synthesizability.py\n",
+      "\u001b[0;31mFile:\u001b[0m      ~/KinFragLib/kinfraglib/filters/synthesizability.py\n",
       "\u001b[0;31mType:\u001b[0m      function"
      ]
     }
@@ -606,7 +606,7 @@
    "id": "27d043f3-ad07-4ed9-a619-368a36d39f8c",
    "metadata": {},
    "source": [
-    "**Note**: A description to the generation of the `\"/filters/DataWarrior/Enamine_Building_Blocks.sdf\"` file used in this function can be found in the [README](https://github.com/sonjaleo/KinFragLib/blob/review-update/data/filters/DataWarrior/README.md) file in the `\"data/filters/DataWarrior\"` directory."
+    "**Note**: A description to the generation of the `data/filters/Enamine/Enamine_Building_Blocks.sdf` file used in this function can be found in the [README](https://github.com/volkamerlab/KinFragLib/blob/master/data/filters/Enamine/README.md) file in the `data/filters/Enamine` directory."
    ]
   },
   {
@@ -691,15 +691,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAYuklEQVR4nO2de1yUVf7HP88wI3hhgBQVMNRWXcUbxs0NErM0L9B6wxIjbLco10RNzepXsm77otRW6RWaGqti7VJqq4Kmool4WxBQQ3LFewooonEVhGHm+/vjIcJhZmCGeS6D5/3iD2fOmef5jPOZ53vm+5xzvhwRgcGwNgqpBTDaJ8xYDEFgxmIIAjMWQxCYsRiCwIzFEARmLIYgMGMxBIEZiyEIzFgMQWDGYggCMxZDEJixGILAjMUQBGYshiAwYzEEgRmLIQjMWAxBYMZiCAIzFkMQmLEYgsCMxRAEZiyGIDBjMQSBGYshCMxYDEFgxmIIAjMWQxCYsRiCwIzFEARmLOtz5QrUarzzjoGm3r0xZozogqSAGcv6aLWorERNjYGmigrcvy+6IClgxmIIAjMWQxCYsRiCoJRaQLvlxAksXqz/pMGBV7uEGUsoLl1CSYn+k3V1UkiRAmYsoZg9G59/rv+ki4sUUqSAjbEYgsCMxRAEZiyGIDBjMQSBDd6tT6dOCA5G//4GmoKC8PjjoguSAo7V0mEIAQuFgqBQgOOwe/dDT1ZWguMQGSmRJnFhxhKQefNQVSW1CIlgxhKKgQNRUIDly6XWIRHMWEIxYgRefBFxccjNlVqKFDBjCciqVbC3x+uvQ6eTWoroMGMJSK9eePddnDqFhASppYgOM5awLFmCAQPw7ru4c0dqKeLCjCUs9vaIj0dpKf7v/6SWIi7MWIIzdizCwrBpE86ckVqKiDBjWRmDNzJWr0bnzg8tCGv3a3WYsawGET77DFOnGvBWr15YtgyZmQ0P8/LQty82bhRZoKgwY1mHO3cwfjwWLMDu3ThxwkCHBQswfHjDv7/+GiUleOMNhIejvFxMmeLBjGUF0tIwYgRSU9GtG/bsQVAQnnsOQ4Y81EepRHw8nnsOgwfjk0+wbRucnZGUhGHDcPSoRLoFhRhtoL6eYmLIzo4AGj2aCgvNeO21axQYSAApFBQdTXV1gqmUAmYsy7l5k55+mgCys6OYGKqvN/sIGs1vvvT3p0uXBFApEcxYFpKcTF27EkA9elBqapsO9d//0hNPEECOjrRhg5X0SQ0zltnU1VFMDCkUBNDYsXT7thWOWVZGs2YRQABNn06//GKFY0qLSMbavp22baOqqoeerK+nbdsoI0McCdbh+nUaOZIAUiopJoa0WmsePDGRHB0JIE9PSk+35pHFRyRjKZUE0NKlDz15/z4BNGuWOBKswI4d5OxMAPXuTSdPCnKKxhG9nR0tXWrDI3rxjMVxpFJRbu5vT9qQsWpqKDq6IVRNnSpsqGofI3rxjDVuHHXtSgEBv4UPWzHW+fM0bBgB5OBAcXEinfTIEXr8cQJIraZvvy0W6azWQ7wEqbMzPvgAmZnYtEm0c1qBhISE+fMP5ObCywunTmH+fJHOGxyMc+cQHg6OK1u40G/GjBmlpaUindsqiONfpZJmzCCNhoYMocceo+JiItlfscrLy1966SUAHKd4553C+/elkfHvf//QpUsXAH369Dl+/Lg0IsxHVGMR0cGDBFBkJJG8jZWdnd2vXz8Ajo6OX3/9tbRirl27FhgYCMDOzm7p0qV1tjCkF9tYRPTii8RxlJ7+m7Hu3KGXX6a4ODp+nKS6MDSi0+ni4uI6dOgA4Mknn7x48aLEgoiISKPRxMTE2NnZAfD3978k+yG9BMa6dYucnGj4cKqoaDDWnj0NP7j4n9leXhQRQXFxdOwYVVeLI7CBu3fvhoaG8oOEqKioBw8eiHr6ljh58mTfvn0BqNXqDfJO0ktgLCJavZoA+uyzBmMVFtL69fTaa+Tt3ZDxavxTqcjHh958kxIS6OxZ0mgEFJmRkcF/bE5OTtu2bRPwTG2grKwsPDyct35YWNgvck3SS2MsjYaGDaNu3QyMserqKC+PEhMpOpp8fBrSOU19xl/PNmygvDyrJb758KdSqfhAc/XqVescVzASExP5EX3v3r2PHj0qtRwDSGMsIjp+nDiu5cF7ZSWlp9M//kEzZ1L//g0vafzr1+9mcHDwokWLkpKSLB52FBcXP//88wA4jouOjraJoTERXb169amnnpLtiF4yYxHR7Nlm/yosL6djxygujiIiyMuLRo78rmnqRK1WBwYGRkdHJyYm5uXl6XS6Fg946NAhNzc3AK6urvv27TPnPUlP0xF9QECArEb0whrrwAH685+pro6+/JIOHtRvLSmhDRvohx8sP35xcenevXuXL18eGhrK+6Mp3bt3nzhx4rJly1JSUm7duqX3Wv5TUSgUAMaMGVNUVGS5DklJS0vr1asX/73aunWr1HIaENBYp0833Kv/8kvhTvIQhYWFycnJMTExISEh3bt31/OZm5tbSEhITExMcnLy6dOn+cyQUqmMiYnRWneWgujcu3dv2rRp/NtctGiR1HKIhDPWzZvUqxcB9NJLVp5b0nqa+qxr165NTebs7AzA09PThnLZLZKYmKhSqSIjI0tLS6XWQoLs6PfLLwgMxIULGD0a+/fD3t7qZzAbIrp48WJ2dnZ2dnZGRsaPP/6o1WqvX7/ePIDaLrdv3/bw8LC3ty8pKencubPEaqxu1ZoaCgoigIYMIQu+OefOUVgYrVhBP/xAZWVWV9eAj48PgF27dgl1AilYt24dgMmTJ0sthMjqoVCrpWnTCCAPD7pxw5IjbNjwUELBzY1CQigmhpKTrTkL6pNPPgEwS573KY1TU1NjYjg4duxYAImJiWJKMoaVjTV/PgHk5EQ//mjhEW7coM2bae5cCgggB4eHTGZnR0OG0OzZFB9PGRlUU2N5Gv7q1ascxzk6OlaLfM+obaxevbpHjx4JCQnNm0pLSzt06KBUKktKSsQX1hxrGmvFCgKoQwc6dMg6B9RofsvCBwY+5DOFQuvs7OLl5RUREREXF3fs2DFz7+vZYjQMCgoCsH379uZNX331FYBnn31WfFUGsZqxkpJIoSCOo6++stYh9ampoYwMio+n2bPpueeu8InBRhwcHEaOHPnWW29t2bIlLy+vvqVlfjYXDYuLi+3s7Ozt7SsqKpq3Tp06FUB8fLz4wgxiHWOlpZG9PQG0erVVjtcqqqqqjh49unr16vDw8AEDBnAc19RnXbp0efrppxcuXHju3DmDL7e5aLhx40YAoaGhzZuqq6s7d+7McdwNywa2AmAFY+XlNaxdefvtth/McioqKo4dOxYXFxcREeHl5dXos/379xt7iW1FwwkTJgDYtGlT86Zdu3YB8Pf3F1+VMdpqrIKChjn/YWGSJUINUlJSsm/fvo8++ujevXvG+thQNKyoqHBwcLCzs7tz507z1sjISAAff/yx+MKM0SZjlZc3LF8ZNYpqaqwlSTxsKBomJSUBGD16dPOm+vr6bt26Afjf//4nvjBjWL5Kp7a2dv78n3NzMXgwdu2Cg4PFR5KMvn37Pvnkk5WVlampqVJraYGdO3cCmDJlSvOm9PT0u3fvDho0aODAgaLrMoqFxtLpdJGRkV99NSAk5Nz339twRdqwsDAA27dvl1qIKWpra/ft2wegcdp0U0x4Tkosu9AtXLgQgFqtPnPmjHUvoSJjE9EwJSUFgI+PT/MmnU73+OOPA8jKyhJfmAksMdbatWsBqFSq1Dbu3yMP5P/b8E9/+hOAv//9782bTp06BcDDw6M1sxrFxOxQuH379nnz5nEcl5CQwN+csnVkHg21Wi1/xTIY7Pg4OHXqVL00nvSYZcP09HQHBwcAK1asEMjp4iPzaHjkyBEA/fv3N9jKD9gPHz4ssqoWMcNYP/30k4uLC4A33nhDOEGSIOdoOH/+fABL9baAIiKi/Px8AF27dtUIuizOIlobCouKiiZOnFhaWhoaGsqPsdoTco6GycnJMBIHv/vuOwChoaFKpfxqe7fGfRUVFd7e3gD8/f3vS74GXgBkGw1zcnIAuLu7Gxyb+/n5Adi9e7f4wlqkZWPV1dWNGzcOQL9+/QzeT2gfyDMafvDBBwD+8pe/NG8qKCjgOK5Tp07y/Kq3EAqJ6PXXX09NTeWX3bm6ugp9BZUKeUZDE8nPnTt3EtGECRM6deokuq5WYNp3S5cuBeDo6JiTkyOGz6VDhtHw0qVLAJydnWtra5u3jhkzBoDkWywZw5Sx1q9fD0ClUpmYedKe8PX1xa9XAjmwYsUKABEREc2b7t27p1QqVSqVbDcFMRoKk5OT586dy3Hcxo0b+a0N2j1yi4Ym4mBKSkp9ff0zzzzjItvbtMYct2PHDhcXl8WLF4tpc2mRVTS8deuWQqHo2LFjld7u+ERE9Mc//hHAF198Ib6wVmL0irVjx47S0tIePXqIaHKJ6du3r4+PT2Vl5YEDB6TWgp07d+p0uueff7750tPq6uqDBw8qFIoXXnhBEm2twaix5BYXxEE+79pEHNy/f391dXVAQIC7u7voulqNsUtZTU2NWq0GcOXKFWN9TMz6tVFkEg1NLxJ8+eWXAaxcuVJ8Ya3H6BXLwcFh0qRJ+PW+gR537tzx9vYeOnSoTqcTzPMSIJNouGfPnrq6uuDgYH7OcVM0Gs3evXsB8MMs2WIqQWoiLnTv3r2qqqqoqOiEwTq1towcoqGJOHjkyJHS0tKhQ4cOGDBAdF3mYOJqZjoa8rnTefPmCXY1lQbJo6HpRYJz5swBsGzZMvGFmUULmfeZM2fCSDjPzs4G0LNnzxbXHNsc0mZKTSwS1Ol0/OZ98p8R3sK9QhNxwcfHp1+/frdv32bR0LpkZGQAmDx5cvOmzMzMgoKCPn36DB8+XHRdZmLad62Jhm+99ZYwppcMyaPhxYsXi4sNVPx65513ACxcuFB8SebS8rQZFg3lw+9//3sA8tzYXY+WZ5CyaCgTfvrpp/z8/G7duvHbu8uclo01YcIEtVqdlZV15cqV5q38Zr2y+gCsQlhYGMdxKSkpNTU1UmtpgM9BTJ48WW//JnnSsrEaM6X/+c9/mrfy3+wdO3ZotVqri5MQmWRKmyLTFc9GaNViChYNJefnn38+c+ZMly5d+Pl98qdVxno0o+GMGTM4jktOTpZDNOQn40+aNMnBRnZfaZWx2nE0JOPb3Pfp08fHx6eqqkoO0dC24iCA1hYQ2Llz59SpU/38/PjNAvTo37//5cuX09PTR40aZW2FAhIbG5ufn5+QkMAXlGvOypUrly5d6u3tzReHJqKysjKDPR88eGDswlZRUWHwK1dfX19ZWWnwJffv36+rq2t8qNVqc3Nz+ckOfFrRBmhlWqIxU3r58uXmrbaYKd26dSvHcQqFIi0tzVifNWvWyOSDdHV1NS1VbphR8iQ8PDwpKWnlypVLlizRa8rJyfH19e3Zs2dBQYFN/BhOS0ubMGFCbW1tXFwcv4a9OQcOHAgNDdVoNBMnThw6dCj/pLE55vb29saWYanVaoP/J0ql0tHR0eBLOnfuzBelbmTz5s1r167t0aPH2bNne/bsaex9yYjWe5AfYPn5+Rls5Wu+p6enW8fwQnLu3Dm+SNOSJUuM9cnJyeFLmL733ntiajOGVqvlfw+OHz9ebjsWGcQMY5mOhu+++y5sIRrevHmT36nsxRdfNFY+5OrVq/xVYebMmfL5FAsKCvh5f6tWrZJaS8uYt42RifuG/C4DMr9vWFZWxge14OBgY5Us7t69y+8N9Mwzz8itiv3333/PcZxSqTx58qTUWlrAPGPZdDSsra3lo8ngwYONrfOsrq7mC2QOGTJEDlX/mvP2228D8PT0lPmCA/OMZbvRUKvVTp8+HYC7u/vPP/9srA9fOMTDw0M+JR70qKur+8Mf/gBg2rRpUmsxhdl7kIaHh8PIjn5yjoYLFiwAoFarz549a6xPdHQ0ACcnpx8trl0mCleuXHFycgKwbt06qbUYxWxj8SlgX19fg618NDxy5EibhVmTVatWAejQocPB5hXPf+Xjjz/m+xyyVu0yIeFvoNnb258+fVpqLYYx21itiYZz5861hjbr8M033ygUCo7jTFR4T0pK4pOl27ZtE1NbW4iKigLQv39/g8XAJMeS7bhtKBoeOXLE3t4ewKeffmqsT1paGt9nzZo1YmprIzU1NfzM98jISKm1GMASY9lKNGzcjXfOnDnG+jQmSxctWiSmNquQn5/P5+5lUq63KZYYyyaiYWFhoaenJ4AXXnjB2OWzoKCAT5bOmDHDRK1lOfPPf/4TQOfOnWVVoYksrv4l82hYXl7Oh4mAgABjW3SWlZUNGzYMwKhRo+SWCDWLWbNmAfD29n7wQEabcltoLDlHw7q6Or5kxqBBg4xlEWtra5999lkAXl5est0Ur5VUVlaOGDEqMPCa1EHiISw0VovR0NXVNSkpqW3aLEGn00VERABwc3O7fv26sT78t9xEstS2OH1ax5dO/u47qaX8iuWFME1Ew4qKCqni4OLFiwE4OjqaSPC0Jllqc3z2GQHk7ExXr0othYjaYizT0VASvvjiCwAqlerAgQPG+nz66adoR6XLGtHpaMoUAsjfnwxtsiw2lhvLdDQUn927d9vZ2XEct2XLFmN9vv322xaTpbZLaSn16UMAGaq7IzZtqgltIhqKTEZGBj+BMzY21lifxtJlNjGfyTIyM0mlIo6jlBSJlbTJWDKJhufPn3/ssccAREVFGevTmCx98803xdQmPrGxBJCrKxUWSimjTcaSQzQsKirq06cPgJCQEGPV1QoLC3v37m06Wdpu0Gpp3DgCKDiYJHyvbTIWySAa8jv7jBw50lgitLy8nC9dZiJZ2s4oLiY3NwLoo48k09BWY0keDevr65cvX25wd2FqXbK0XZKWRnZ2pFDQDz9II6CtxqqpqXF0dFQqlZMmTYqNjT148KB8ZvTqdLpXXnmFT5Zeu3ZNajli8/77BFCvXmTkSycsbTUWEZ04cYK/6daIm5tbSEhITExMcnKyhNcJfv2j6WRpO0ajoaAgAmjiRBJ/qZEZC1ZNcOHChaysrOzs7KysrLNnzzZdbK5QKAYOHOj7K97e3h07dmz7GVtk/fr1c+bMUalUKSkpj0iRqeYUFMDbG/fuYc0aLFgg6qmtY6ymaLXaCxcu5DThwYMHja1KpXLAgAE+v+Lr6yvE9ikpKSlTpkzR6XSbNm2aPXu21Y9vQ+zdi9BQKJU4ehQjR4p3XusbS4/6+vr8/PxGk2VlZTXd7kLPZ/7+/npLyy0gMzNzzJgx1dXVsbGx7733XhuP1g6YPx9bt+Jf/8LEieKdVHBj6aHRaC5evHjixInjx4/n5ORcuHChadEUlUo1bNiwwMBA3meDBg1SKFq10VIjly9ffuqpp0pKSqKiojZs2GBt+TZJbS1u34aLC+7ehaMj9Movl5Xhl1/g4QGOw927cHKCXrkxIty6hY4dYV5pRLEHdQ9TWVl57NixuLi4iIgILy8vjuOaanN0dAwMDIyOjk5MTMzLy2txtXtrkqWPLPHxBFDPnqT3q53P1Gdm0qFDBFDzVe4VFQSQuasYlZZ9CaxFly5dgoKCgoKC+IcVFRW5ubmNcfP8+fMnTpxo3ITSyclpyJAhjXFz8ODBTQ9VWVk5adKk69ev+/n5ffPNN0qlxG9Nnty+jQ8/xOefC34ief3vq9Xqpj4rKyvLy8vj42Z2dja/02mjz1xcXHx8fPi4OWLEiNdee+3MmTO/+93v9uzZ07x4JIMnIADr1uGVV+DnJ+yJ5GUsPZydnXmf8Ru73bhxI7sJpaWlhw4dOnToEN+Z47gePXqkpqZ2795dUtWy5v338eqrePNNnDoFQTcyk7Wx9PD09PT09OS3VwBQVFTUGDRPnjz5t7/9LSAg4IknnpBWpMx57DH89a+IjkZ8PIxsOGcdbMlYeri7u7u7u4eGhgLQ6XTm/n58ZJkzB19+iQ8/xPTp8PDQb928GenpDz1j2ZbF7eTDYK5qPUol1q1DVZXhXLxGgwcP9P8sOUsbVTJskaAgREZiyxakpuo3RUVBb4vZykpYsMEv+6I/oqxcCRcXLFkCgYp6syvWI4qrK2JjMWcONBpBjs+M9egSFYUtW5CZacZL8vOxezd0OowfD29vUz1ZKHx0USiwdq0Z2ay9ezF6NCorcf8+Ro3C/v2mOrMr1qPC4MGIioJe7QEfH8TF4dw5dO8OtRpRUQauQx06ICoKPj7o2hUpKfD1BYDaWiQkYPx4o6cTe3YDo30QG4vsbBiq2dUAC4UMs9FqsX17C7O7mLEYZrN4MdRqvPqqqT5sjMUwg9paREcjNxf797cw6mdXLEZrKSjA6NG4fx+HD8PJqYXObPDOaC3Tp+Pw4d8euroiP99oZ2YshiCwUMgQBGYshiAwYzEEgRmLIQjMWAxBYMZiCAIzFkMQmLEYgsCMxRAEZiyGIDBjMQSBGYshCMxYDEFgxmIIAjMWQxCYsRiCwIzFEARmLIYgMGMxBIEZiyEIzFgMQWDGYggCMxZDEJixGILAjMUQBGYshiAwYzEEgRmLIQjMWAxBYMZiCML/A71TlIGeMZUfAAAA8HpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAuIOYG4gZGNocMIM3MjGCwO2iAGUgyYAEWGM3uYAGiGTFVsDOABRiZuBkYM5gYmBMYmRKYWDOYmFkymFhYE1g4EljZEtjYE9g5Mpg4OBVEmNiAmliZGFnZWFk42MWbgJoZ4U6sSOY/EGW6cD+Io3RI90BskbodiG2idme/9awl9iC2VLjrfsG1x8Fq5Kak2rWxPNgHYttrN+zjdK0Bq8m5XGLfpf8BzDbz43ZY2tEAZvNuvGMfKHYLrJ4zXt1B6tcFsDliAJxJMQ1xj+NNAAABWHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2S0WpCMQyG789T9AUsSZu0zeXRI2MMj7C53Q7ZzQQZDHx/9lfRKpT19ECTfgn5k+pRfj/3x9P4+fW9P/yMg6vrdXo5nNxthWmAn/7ZZuY+IhENG1cPbrl+ep7dajcur57V9n3evTkmx4wYfI/suNturh52K7cIPgiJJLdgH9REEObpvFpsuJCZxbLgnlPUEDpgdHNNlNmMk0PGoqa5A0rNSD5nKolqiKpZsg6pIMmHIGylhkjMGrUDpkvKoBRhkbeiEkoHzCgS1woRjBpLTqI91QUJg+eckhg4IuFMHc7AQTMq1HiuEH3UXncwlRkZEyuSVtEpBuwOuZ6nh1FdhrfczlMbnuAPbULVlDYHgSu2bgtcqbW0OrQ1Dka7zWfTWhcERG5iBUS5kyRAbjReHYPhByX3dVf7+mBxHv4AY9mXn5pYVGEAAAD6elRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXc6xTgMxDAbgV2EEKY1ix3biu4mtE+qOGCC6AaHmqvZg6sPj3uZky//9sfPWoL3340fD3uwAPt2fMQow1HCAKBklhxliQQIOhxQJWRnDjBGKCAeIKRGUMKeoLJnBklqEOMzWRk45B6PKhNUimwSqaCWsrGIJWkJarAT2HHGPkJJNsLZtI9pHlZKqPCJm1X0f2p+07p/KhTOHl/C5refTdb1MKd5+vy5r+1m2+Hqy69L/vq9rPy99izyBZ3AMMqF3HD17z6OTdxqdvfPo4l1GL97L6NV7HV296+D3f48ZnYiDyx/2AAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -713,9 +713,9 @@
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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M2cmJCQkJyffuHFDx7NGt27dIvvfOdKWRCKZOXOmsbExAEtLy+jo6LKyMoZhzp8/7+vrS/rXyMjI2tpa1k2ziAELa9euXQBGjx6t+dL+/ft37dr1yy+/3Lt3jwvTeXl5RFvsxuULCwsjIyOJpMzMzCIjI0tLn8pc2tzcnJCQYGZmBsDV1fXkyZNsmWYdAxZWQEAAgH379glinV1tFRUVRUZGktPVRFJ37txp7+Ls7GxVlxwREXH//n0drXOBoQrrxo0bAHr27Pnw4UOhfGBFWyUlJSpJmZqazpw5szOrn3K5PDExkSxk2dvb/+c//9HOOncYqrBWrFgBYMmSJcK6oYu2bt++HR0dTTJsEUm1uTfm9u3b7d0hPz9ftbljwoQJHXRy/GOQwmpqaiIHHC4JfpJVK21VVFTExMSQ3RNGRkYRERF56knc/0I1Pnaw01CpVO7atYssBlhbW+/atUv7T8IqBimslJQUAH5+fkI78oTOa+vevXsxMTEkbSmRVG5uruZlhYWFc+fOVU25nrmlsbS09I033iBd17hx47RegWARgxRWeHg4gMTERKEdaSEvL4+k2QkJCWlTW5WVlTExMWTVUiQSTZgw4erVq5qXaY6PmsGU9khOTib1MiwtLRMSEhQKhU4fSTcMT1h37twxNjY2MzPjKJSgNVKpVKUt9Yjr/fv34+LiyPZ5IqnLly9rvr2T42PHlJeXT5kyhXRdQUFBOTk5On0kHTA8YZGTWFOnThXakTZopa3a2tqEhARV9P/VV1/9448/NN/VyfGx8xw9epQMzRYWFnFxcc3NzbrcTTsMTFhKpZJs/dbbcqY5OTkk56+Hh4dKUuHh4b+rF176i06Oj1pQXV0dGRlJVoReeOGFNvtITjEwYZG0lP379+ctBZwWSKXSXr16ka4rKCjozJkzmtdojo9//vkn656cOHHCxcUFgImJSUxMDD+HMQkGJiySATs2NlZoR57B/PnzAURFRWm+1MnxkS0ePnwYExNDFrDFYvGFCxe4s6WOIQmrg1VnfWPu3LkAvvrqK/XGmpqaDRs2qI+PvMXhfv31V09PTwDGxsZHjhzhwaIhCWvnzp14uhiz3vLWW28BSE5OVm/My8sjoan2xkdOaWxsjI2N7d69+9SpU3lIH2dIwiIrr98ZQlIfUk1O8wnjo48++u233wRxiWEYcuite/fuPNgymK3JN27cuHTpUs+ePd98802hfXk2tbW1ADSPXawUKnkcgPa94gKDSWO0e/duAP/4xz90PHLDD6RvIA99+gOfXhmGsJqbm7/77jsA3JVxYxfSNwgrrPr6+tmzZ69WKwBMe6zWHD16tLKy0s/Pz9/fX2hfOgWfX2F7VFdX792794Bamnw+5W4YwtqzZw+ABQsWCO1Ip2AYpr6+HkILS1PcdCh8iqtXr546dcrMzIzrglts8fDhQ4VCYWlpyXUhp47RlBGf/ah+PRU+fvz49u3b6kmqrl+/XlFR4eDgYGdnR85t6j96MnPXlBGfQ6HAf1JSqTQnJyf3L/Lz85ubm1tdZm1tXVVVVV5enpSUNHv2bEFc7RL6MMFCWzLiU/H8Cau6ulo9SZVEIikuLlYqla0uc3R0VE/p4ebm5ubmlpSUNGfOnMWLF/v4+AwfPpw3n7VDHx4J0ZaMSIsBD4WtRrSbN29ev36d/LrVMTMz69+/v3qSqsGDB7eZE2H27Nm///77jh073nzzzUuXLpHNRnqLng+FhicshmGSk5Pj4uIKCwvlcnmrV3v16uXt7e3j46NKUuXq6qqZ66w9EhMTJRLJmTNnIiIiMjMzOS0fryN6MhS212MZ3lAYGxublpZGkhq2GtHEYnEnS963h6mpaUpKyrBhw7KyshYtWkSSzOgnejUUGvzkXalUJiUlyWSyPXv2TJ8+3UK9zjNL2NnZHT58OCgoKCkpKSAgYMmSJaybYAW9GgqFCjewFsc6ceKETCbz9PScM2cOi6oqKytbt26dao4/ePDgvXv3ikSiZcuWkRxGeoieDIV/kwApCY7PnTuX7LNmBaVSGRYWtmXLlri4OFXjW2+9tXLlSrlcPmXKFJKKXd/g8+HrmW5o9liGJKyqqqpjx46ZmJiQhFVsYWRk9Omnn5qYmGzevDk5OVnVnpCQEB4eXlVVNXnyZFUmPv1Br4ZCoZ4K2RFWUlJSU1PT+PHjyQkCFhkzZsxHH33EMMz8+fOvX79OGo2MjPbt2zdw4MCrV68uXLiQXYu6o1eTd6GeCtnZQTpo0CAAaWlpqpbNmzfHxsbevXuXlfuTswmurq6VlZWqxpycHLJ/nChPfyBbEVNTU4V1g5yTU516VSgUIpHIyMiInxPSLAjrwoULAPr06aM6GNnU1ETW9dg60tTY2EgC7mPGjFGvg3XkyBEjIyMjI6Pjx4+zYogVSMnMH3/8UVg3SO5ukg2QYZiamhrSXfFjnQVhRUZGAli5cqWq5dChQwAGDRqk+81V3L17lwTcV6xYod5O5vU2Njb6Ux+L7M2/ePGisG6Qo9Wq/GG3b98G0K9fP36s6yqshoYGa2trADdv3lQ1hoWFgYOyb+fPnycB9927d6salUplREQEAG9v7wcPHrBrUTu8vLwASCQSAX0ga/nGxsaqAzkkVZ2Pjw8/DugqrKSkJACBgYGqFplMZmxsbGFhUVVVpePNNSEBdwsLC/X+oK6u7vnnnwcwceJEYVOsEMgTjGYatCNHjvDmHqmPYmNjo2rJysoCEBAQwI8DugrrpZdeAvBvteryGzduBDB9+nQd79weixcvBuDo6Kie+LWwsJDM6jZu3MiR3c5D1tFbdZ9ki3BgYKB6184dFRUV/v7+ISEhqpaTJ08CePXVV3mwzugorIKCApFI1L17d9UvUalUuru7czp1bW5uJmoODAxUT0Zw6tQpY2NjkUgkbEJO8vAlEoladU4//PAD6cnMzc3j4+P5zwBDstVNnjyZH3M6CWvt2rUA5s6dq2r56aefSFyA0z7//v37AwYMADBnzhz19q1btwKwsrK6fv06d9Y7pqGhYdiwYVZWVppZG2tqalQZYPz8/NrMP8MdZGmk1W+MO7QX1uPHj0m5YvWjvWRb+oYNG9jwrSOuXLlCDhju3LlTvX3OnDkABgwYIGCSanIEEsD48eM1szaq0iiYmJhER0d3viiGjiQmJqKdPCVcoL2wjh07BsDT01P13FFTU2NpaWlkZFRcXMySex2xb98+AKampup5EBobG8nTfmhoqICpjjrO2tjQ0BATE0MKBbi7u58+fZoHl0ie6eXLl/Ngi9FFWJMnTwaQkJCgavn8888BjB07lg3HOsU777wDwN7eXj1ndUlJCYkNrl69mjdPNCkvLydxELSTtTErK4ufEibFxcWk4IWLiwsZo/U3KUhlZaW5ubmJiYn6o9mLL74I4ODBgyz59mwUCsX48eMBDBkyRL2SwJkzZ0xNTUUiUUpKCm/OtEnHWRvVS5j07ds3PT2dXeukOoGpqSnp2slzVXtjNLtoKaxt27YBeOONN1Qt2dnZAGxtbXmue1ZVVeXu7h4UFKS+jMgwzKpVq3r37s1PLqiOeWbWxlYlTFp9EO1oL1VucnIyictwnVlZS2GRVWf1ry0qKorPuaE6xcXFTU1NrRrJsemYmBj+/WmTjrM2tiphkpSUpLUhzVS5UqlU/YLy8nKSGLG9MZoVtBEWieHa29trrjpfuXKFVfe0pL6+nmwOEXZdpRXqWRs9PDw0K24WFBS88sor5CvXooSJeqpcIyOjjlPlcp1ZWRthkS1Qq1atUrUcPHgQgL+/P3uO6QSJ2QQHBwvtSBucO3fO29ubfPeRkZGtqg0olcovvviC7MWztbXt5Eq2dqlyq6qqVAeA/f392f0j7LKwVKvO6n6QBHZffPEFi57pQnBwMIA9e/YI7UjbNDY2xsXFkTn1gAEDNFcpSktLJ06cOGDAgGcW59E9VS4Zo0NCQpycnOLj4zUnFdrRZWGRZeCRI0eqWlSrzv/9739Z8UlHpFKpSCSysrLS8xqkV69eJVmZRCLRzJkzNdfsVVup2oRIivyRE0lpHcqvra3dtGlTv379HB0dX3rpJVayOHdZWKSQuno+4A0bNgCYMWOG7t6wQkxMDIAFCxYI7cizkcvlCQkJZC+Qg4NDJzed1tXVJSQk2NjYqCbgHRRI7zyXLl0aNWqUo6Njv379Vq1apeOSQNeEpVp1Vu8MTpw4MX78+J9//lkXP9hCLpeTtd7z588L7UtnuXXrFllWJ+GGDmoE1dfXJyYm2tvbqyTFbtT+0aNH27Ztc3Z2dnR0DAgI6KCc3TPpmrDWrFkDYN68eVrb45qjR48C8PLy4iG4zCKk7CDZb2NjY6O5gP3w4cPExEQHBweVpH766SeOnJFIJGFhYY6Ojn379o2KiqqurtbiJl0TVkpKir29/Zo1a7SwxA8TJ06E/h2v6CRFRUWhoaFEOuHh4WSdqqmpadeuXarjT4GBgUePHuXak+bm5k8//dTFxcXR0XHIkCFaPDB2TVjffvstgG7dunFapUNrysvLTU1NTUxMOp726jNKpfKrr74iU/KePXtOnz5dlVpn+PDhGRkZfDpTVFQ0efLkgICAVoW3jx8/fvbs2Y7f2+XJ+6JFi8jClvoqoZ5A9mO9+eabQjuiK2VlZaS2haurKwA/P7/k5GQ+B/fa2tq1a9dGRUWlpqbeuXMnPT09Ojp669atcrk8Ojp6w4YNH3/8cccVjbosLNUGzpEjR7IV82ALHx8fADyMFPyQmpqalZWVlpbG/3xRIpH8+eefCoViwoQJMplsxowZSqVyx44dycnJDx48WLhwYXR0dMeLwtpE3svLy8kWv8WLF2vrOfucO3eOPLQLUvfx78q4ceNOnDhBQt85OTnvvvtuRkbGwYMHP/jgg44XGbVJY2Rvb5+enh4cHLxz587BgweTwVFwVFtvSUSbojuff/751KlTjYyMVIleiNQ69WattUwm8q02cApFfX09WV8TsAry3wm5XB4fH0+iHnfv3p01axZ5quj8Zjvtk4K8/fbbK1askMvl06ZNu3Pnjtb3YYVDhw7V1dWNGjWKrO9SdCQjIyMvLy8/P3/16tUikei1115bvnx5WVkZ2TbcKXTR9ePHj9vcwMk/QUFBAL7++msBfaCoo+uB1aqqKpLV5O2332bFIS1QrTo/cy8AhTd0zY9la2t79OjR5557bt++feSAEf+QVA7Tp09vM5U3RRhYkWdaWppIJDI2NuY5NMwwjFwuJ/mYs7KyeDZN6QDWSveuX78egK2tLUeVwO/evZuZmanZnp6eDsDLy4sLoxStYS0d98aNG69du/b999+//vrrFy5c0CUfoWappuzs7Hv37gEoKytTrfATSPhKDxNG/o8jYhiGrXvV1dWRbCqTJk1KTU3tZPrkVqWacnJyCgoKNEs12draent779mzh2SfIlRUVDg5OTEMI5PJWgmOIixsVqbo0aPH4cOHAwIC0tLStmzZsm7dOs1rGhsbz58/L5VKJRKJVCrNzc3VjIEZGRm5urqS+ije3t5eXl6+vr69e/fWvFtSUpJcLp80aRJVlb7BZo9FOHXqVHh4OMMw6enpEyZMaPVqQUEBCU+o6HypJk18fX1zcnK+//57TUMUYWFfWAA++OCDtWvX9ujRIysrSywWq7+kUChCQ0Pd3d1VHVKXSjWpYBgmNTU1IiLCwcFBJpMJW8uUogknwmIYZsaMGQcPHvT09Lx48aLqJInWyOVymUymXu7w2rVr9fX1AwYMmDZt2gcffMCK2xQW4URYABobG0eNGnX58uWwsLDjx4+TlD2dpKqqSn0un5ubW1JSolAoWl3m6Oj40UcfTZ06lW5n0EO4EhaAkpKSYcOGVVZWrl27dvPmze1ddvfuXfWyq4WFhYWFha2uMTExcXZ2Vi+7OmjQIJKriKKfcCgsAGfPniUp/w8cODBt2rTm5uZbt26pyyg3N/fhw4et3mVubu7u7i4Wi9Vn9CTLBcVQ4FZYALZv3758+XJzc3N7e/s7d+5oFoHu397OIA0AAADDSURBVL+/Kqbg5eXl7e2t55V5KZ2Bc2EBiIqKqq2t3bt3r6mpqZOTk2pE8/X1HTRokODFjChcwIewAJSVldXV1bm5udG4wP8IPAmL8r8GaxVWKRR1qLAonECFReEEKiwKJ1BhUTiBCovCCVRYFE6gwqJwAhUWhROosCicQIVF4QQqLAonUGFROIEKi8IJVFgUTqDConACFRaFE6iwKJxAhUXhBCosCidQYVE4gQqLwglUWBROoMKicAIVFoUTqLAonPD/xLxGvfsY1CIAAAGpelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAABEgFgPiBkY2Bg0gzczC5gClGdBomLhDBohmZsQiQFCGnQHMYGLEpgldDQfEZiYGAw1GIIORB0hIcgAJx5L8XL/SnBwNGQZtmKQINkluBkYVZgYmLSYmJmYeBmYVFkaWDCZG1gQmNhVmJh4VFmYBBWZBDSYW9gQWAQVWjgwmNt4ENv4MJnbODCYOzgQuvgwmLv4Ebt4MJm6+BB4hBk5hBhFmVmYGRhYBNlYOTnYWRjYufjZebj7xXyA3wANVdvUiW9v6lfYgzoWzE+2vZ7fZgdiR9Zv3r1/cDRbv/+Nk326n5QBi766Sc3hgUQgWT5rcbm8vP28/iH2n4sf+Fp15+0DsiI95DuHW/2xBbF8HEYe/2cwHQGzFK5kO9dfWg9VfPXhk/yw2C7C4aV/tgfqpP8DiH8XFDlRWC4DtKhGMPhB3lgss/sHU8UDiFzew+mUT6vcn39sDFv/Sw+9gpywNVn/jzHLbqEv1YPb3NyUHNvUygtnxqnMd5rrzgPWKAQBLum3Ics1U/gAAAht6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VMuKWzEM3ecrvC7E6OWHFl3kMZRScgNNOttSSqGz6Wr+n0q+zbWHMb3OwpaPpGPpKOn1F3z/+fvHy5/DLvj39fzl5TVsH513Zof//FQ1PDMA7C7BN+H49OnzEk73w/FhOV2/LfdbIAhE5mPrLfZwv14eFgynABGKCtWAkUlQk1va1z3JcBiRFZTtmjIloQmODbfHKEAWyjzAHXgClJa4ZMw5B4o5A9jmPS4ZjqKUbMzs2nhSkQkuN4KQFGtyBsSJSSfAsjJUQaw17CEy1DnFakiOhVmqWSMaAy4TnDaKjFnIUpORYJm+BaFFzIlTISfBxdYsNeLKMnHB3ILWkgSmUG/NnqNmrJDWpxHkWXOQw+KxWBJZBoqUSuIpU1mDWrVVwKtk7UadQtMKBayKxXcINc/f702yWKqVAZtOSkrTmlqkxQkKaakuADJJTWPWcHVzRWWx4qoWwplAUMMHZ1cpa2YLCRa8jBUNl8Pt9hFp0zyYh0S191iRrW5o4ir4zoO2HE/L+c10rfN2vC7nPm++egpbGLhPj99KnxGx+9RHwY+5K948Q+m69iNyV69Fsjp2lZKf6yBGsZB1kBzauTug43PQQT3iWWQQSTPkQQrieceGiyXGsa3SMqWhf6slD40ST94TEfyzbF7U6mjP3diRFxIdOzZjLL2fH3+Ttt/9BRfYCXa/wpwhAAABvHpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWRwW4UMQyGX4XjbpWG/HYSx7viUFWIW6kE4lJ6WKI5ILo7VVk49eFxBg47RiONJv6c38k3D6Crx7u3t5t3t/hq74/bu04dvffNA6Wrx22n7bLsHW9eN9ccG1WtgWKiTBL21xQ5F4JVqEjJVkHMiZgCYtKkHPYpJlHrViuxbRsVqah15NSakiw9DcosgaOqWODeEjNps55MOfEoZKmUQ4qWRmKzEME2wypUqYxkG1oUGuwUxIWXXYxqyE6aCmebxbEWLjJ6WOwJ+xwVNn/0QNGWHmHOzZJBGSzLvTRjRKfIqenItk/VxgkjK0v5d//CAhlh7a8RjglN7QgcbUyVpaQVLSyhlOpSsUtpHvF2E5jkbTic5+P9y/y8S/E4P32ez18OT9OpTxFW+fnr2/Pcf0zn+Om9LafT7+8v8+k4nc7xdNjhgt/c2/KSy47WmBzmNWaH8xpnh8saF4frGleHZY3F4bbGzWFdY3UYyXlJvsGL8+ZA//0LXNr8cDPW/m84ofBG4ZTCO4WTCm8VTiu8Vzix8Gbh1MK7hZMLZ/f1D8XsREy07HCvAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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ef0vhEajnTx50tjY+MqVKxoaGn///Tc+GGzTpk3BwcG93WVkZPTnn38ePnzYxcWFP93R0bG4uFjoJ5En5F1Ypqam/Iet6erqGhsbi7ZqpTeSkpKAT0bd3d04hV9q/cHS0jIiIoJCoWzevNnd3Z3JZPr5+X377bdvvAshJLBI6/nz5wp/BLCsfbFwxMfHm5qafvXVV+IqsKioCABMTU15PB5OycrKAgBra2vRCly3bh3+wc6aNaufp06Ul5draWnxp5iamubn54tmgJygYGvezc3NGxoa9u3bt3z5cjxtPECwH5w3bx6V+rLxxn7w3XffFa3AsLAwHN49PDycwWD08y4Oh7N3717iUrxNskyQd1cogIuLy4oVK9hsNj4TcOBgGfF7PUJqohXIYDBwl7+7u7v/d+GXRwLRqpYvZN1kCk1dXZ2BgYGp6eCEhCcDLKqxsRGHFW15dQBddXU1hULR1tYeyHmnjo6OAFBQUNDP/ErpChXvj8PExGT//vjOztI1aywH6DEuX77M5XJnzpxJrOZLTExECHl6empoaIhcrIGBAQCoSFSZ3lA8YQHAsmWuo0bpVVXBm1653kDPYQURBhp6ggPmNjc3D8g4RUfWTaaIZGcjKhUxGKi0VMQSuFyukZERABBL+To6OrS1tSkUSs+lCkKxYsUKADjBf3hin3R1dd29e5c/paioSNHH4hWyxQKACRMgIAAsLKCxUcQSbt682djYaG9vP3LkSJySlpbGYrFcXFyGDBkyENuEdYUMBsPBwYE/ZcyYMXifmeKiqMICgB9+gJUr4bffgHj9+vFHiIzs7+1ifx8kwIedMJnMAZaj0CiwsPT1oawMzp6Fo0dfpjx4AI8e9ff2njM5og24v84wso+lyMLCfPIJ/Pe/IGxooEePHpWWlhoaGk6ZMgWnFBYWVlVVmZubjx8/foAmkW+FoATRZkaNgg8/hPXr4fRpAAAeD/bsAQMD0NUFPb2X//T1O3V1OcSYAgDgE5rmzp2L13kCgImJye7du+l0OrFLR2TIFguUQFgAsG0b2NtDWhoAQEcHbN8umGHmzJz09OkUCkVfX19fX19PT6+qqgr+3Z0aMmQI3vswcEhhgXIIS1cX9u2DtWth2jSgUmHDBmAyobkZmMyX/3R0mNra2iwW68WLF4SHMjIy6k9ALBEgXSEoh7AAwM8Pjh2D8+chOBi2bu35/XyANh6Px2Qym5ubm5ubw8LCzp07l5iY6O7uLnZjyBYLlKDzTvDzz9Da2lcGGo1maGg4fPjw8ePHb9q0CQCioqK4XK7YLSGFBYreYnl5QWcn8HhAo4GtLSQnQz/XEjs7O9vb25eUlKSlpXl6eorXKhwlUFdXFyE08FcBRUXWQ/8DYvlyBIC+/VaUe/HW54CAAPGa5Ofnl5eXR1zu3r07PDxcvFUoBArsCtvaIDYWKBR4/31Rbl+6dCkORdTR0SFGq/Ly8vjH3CsqKp4+fSrG8hUFBRZWVBS0tYGbG/BFHBKCESNGTJw4sbW1tZ9hbUmEQoH7WHl5F42MZqxcKdyhzvz4+/tnZWWdOXNm8eLFYjQsPT2dCAZZWVk5QjThKziKKqzy8vKLFz81Nzf29c0T+Sn8/PzWr1+flJTU1NTEvxdogBQWFjY0NODPKhEV8nUoqrBiYmIAwMtrrpaW6I9gamo6a9as5OTk2NjYjz/+WFy2rV27dubMmfgzDuGngihkH4vL5Z4/fx4APvjggwEW5e/vDwBnzpwRg1kkfCiksGpqaoyNje3s7Aa+EsHX11dLS+vGjRuq+e4mQWQ93iE0f/zxx+3btxFCL168EEuB77//PgB89913Yint2rVr/KFE8vLyHjx4IJaSFQsKksuzr+vq6o4dO8ZgMNavX5+cnBwfH0+j0bZs2bJz504tLS28RDM0NFQsdV28eHHBggVOTk55eXliKVAo1q1b5+fnN2nSJHx55MgRNTU1HLJGoZFTV9je3u7j41NRUQEAFArl0KFDixcvDg8P//7777u6ulpbW8WlKgCYO3eukZFRfn6+TOJwZGRk8J9gWFJSUlpaKn0zxI6cCmvYsGHEQW0eHh5UKrWmpsbMzOzWrVve3t42NjZ4QZVYYDAYOMxQdHS0uMokUYzhhsrKyvj4+KNHj+J9pDjspxjx9/c/evTomTNnduzYIf1p44KCAmJ/7OPHj21tbaVsgCSQU2FxudyWlhYOh8NisXJyck6cOLFr1y6hoiEIxfTp04cOHfro0aOsrKzJkydLqJbeSEtLKysrw5/v37+vHMKSU1dYW1sbHh5uY2OTmJiYn59vZ2d3+vTpy5cvS6g6KpXq5+cHMhrQCgkJOf2KOXPmSN8ASSCnLZaFhQWO6ik1/P39v/vuu+jo6B9++IHYYUEiMnLaYkmfcePGjRkzpr6+vu9TC8XI5cuXY2NjpVOX9CGF9Q9LliwBaXnDxMREHx8fPz+/ZcuWOTk5Een+/v7vi7a+TN6Q9QitHFFZWYmDY7W1tUm0okuXLqmrqwPAJ598gk8FUz5IYf0LvDE6OjpaclUkJiZiVYWEhEiuFplD++abb2TbZMoVDQ0N165dy8jIaGhoaGtr09PT498/PXDOnz+/ePFiNpv95Zdf7tu3T4wlyx2yVrYc0dTU5ODgoKamxv/zMTc3nz9//rZt21JSUgYYs+rcuXO48A0bNojLZrmFFNZLmEwmPlluxIgRERERoaGhHh4eeLabQE1NbcKECWvWrDl16lRZWZlQ5cfExOBRjE2bNknoEeQKUlgIIcRisWbMmAEAVlZWlZWV/F89fPgwIiIiODh42rRpAuG1dXV13d3dt23bFh8fz39idE+io6NVSlWIFBZCqKurCx+WZGlp2feJum1tbTdv3jxw4MCyZcuGDRsm0KkYPnz4smXLDhw4cPPmTf6jA6KiorCq8ClzKoKcrseSGhwOx9fXNzEx0dTU9MaNG6NHj+7/vY8fP759+3ZWVlZWVlZeXh7//kRtbW1nZ+fJkydzOJxDhw7xeLwdO3ZsfV1UCaVF1sqWJVwuF6+aNzExKSoqEvi2qqrq+vXr/TwimsPhFBUVRUREBAYG2tvbE0skcPzcsLAwCZgv16iusHg83tKlSwFAT08vNze3ZwY8HECj0ezt7bGPy83NJY7c6ZuGhoZLly5t2bKFwWBQqVSBfpsqoKLC6u7uDgwMBABdXd2srKzX5jl+/PiECRMERh/09PQ8PDxCQ0MTEhLq6ureWBHeBbRz505xP4G8o4rC6u7uDgoKAgAtLa309PS+M7PZ7NzcXNxht7e3F+hI4FGusLCwmzdvvvaUlKtXrwLAyJEjlXXqpjdUUVg4OJa6uvrly5eFvffZs2cXLlzYvHnzzJkzBw0axC8ydXX1KVOm7Nq1iz8/j8cbOnQoAGRkZIjvCRQA+RXWO++8c/LkSeJyx44dn3zyycCLxbswGAxGQkLCAIvicrm4wx4cHOzs7IxP7Vq0aJFANqzjwMDAAVanWMivsDw8PPgjS33zzTerV68eYJnff/897o/HxMQMsKieMJnMlJSUzMxMgfQHDx7gzpmin2IiFCq0HuvQoUPr16/HhzdLYs0THognAscT2NnZTZgwgclk4hjgKoJcr8GNjo6+d+8e/nzr1q0xY8bU1taamJiIcFTk8ePHv/jiCwqF8ssvv+A3NWkSEBCQk5MTEREx8GATioL8jrx7enoOGzbM1dUVX8bFxRkbG2dkZDx+/NjR0dH5FaNHj6bRaH0XdfLkyZUrVyKEfvrpJ/w+KGWampqGDBnC5XKfPHlibm4ufQNkgKx9ca/07GN99NFHNjY2AvYPGjRo2rRpwcHBERER9+7d43K5AuX88ccfeKpuz5490n2Cf4H3xIorQoT8I9euUAAqlfro0aPm5uaioqI7r7h//35GRkZGRgbOo6amZmtrS7RnNTU1S5cu5XK5u3bt2rhxowyNDwgIiI2NDQ8P//LLL2VohtRQJGFh9PX1XV1dCRfZ2NiYl5d3584d/P+jR49KSkpKSkpOnToFADo6OhwO5+uvv5byZrKeeHl5mZmZFRcX5+XlDTz6kvwjv32spqYmTU1N4jzItrY2Ho8nsPKuJy0tLXfv3sWNWWZmZm1trba2tpzEa/ziiy8OHjwYHBx88OBBWdsieWTtiyUIh8MZPHgwAOTk5BCJ2dnZK1asEGHMfeDgMElGRkb8q7WUFWUex6LT6XirYEREBJGYnp4eHh5+lDg8U4o4OTmNHTu2sbFRcrEC5AhZK1uy4GEwQ0PDzs5OnPL8+XM6nc5gMPqzNkHs4KU4Pj4+0q9ayii5sBBCeJ/xuXPniBR8TOHBgwelbwwha/5wkkqJMrtCTEBAAACEh4f3kSI1zMzMPD092Wy28gd5k7WyJU5DQ4O6ujqdTn/27BlO6erqMjY2BoCCggLp24Mj1Lu4uEi/ammi/C2WkZGRl5cXl8s9jU+NBmAwGHjOjr9TLzXeffddAwOD3NxcYhpUKVF+YUHv3jAyMpLD4Ui69vT09Pr6euJSQ0MDr60ghK6cyLrJlAbEgFZ2djaR6ODgAABxcXESrTolJUVDQ+Ptt99ubm4mEjMzMwHA0NAwLi7uyZMnEjVAVqhEi/XaAa1ly5aBhL1hRkaGj49PZ2fn5MmTdXV1iXQWi8VgMOh0+oIFC4YOHWpgYODq6rp27dqTJ08WFxf3EWp1y5YthYWFxOWJEyfOnj0rOfsHhKyVLSV6G9BSU1OT0IBWZmYmjlSzatUq/k1j169f19LSAoBJkya5u7v3PHVMX19/1qxZX375ZWRk5P379/nvdXR0TEpKIi6DgoK+/vprSRg/cFRFWAghPPV79uxZIgUPaB04cEDsdd25c8fAwAAAAgIC+JXxWrVVVlbGxsaGhoZ6eXn1XK01aNAgV1fXzz///Ny5c6Sw5BE89Ttv3jwi5dy5cwDg5OQk3ory8/NxO7R48WIOh0Ok3759GztEAbUJ0NTURESI4N9UPW/ePEdHx/37999+xaJFi0hhyR7pDGgVFhbibfW+vr78qupNbf0xOyUlJSwsLCYmxtHRcdKkSfNfMWzYMFJYcgFexrl3714iZc2aNQCwbt06sZRfWlpqZmYGAAsWLGCz2UR6b2oTFgVyhSrxVkgg0QGtsrIyNze32traOXPmREdHE3vzHzx44Onp2djYuGDBAiJQltKjEg9J4OXlNXjw4JKSkuzsbBy/z8XFZenSpdOmTePxeAJhGoSioqLCzc2tpqbGw8MjLi4Oh6+F3tWm/Mi6yZQ2ISEhABAUFCTGMquqqnAcNldXV/5Q3uXl5UOGDAEADw+P10Z2EJbIyEj+wDXXr1/vuT9WTlA5YeEBLQMDA7H8phFCjx8/xnuHpk6dyh9Mqze1qQgqJyz0akBLLLvsm5ubR4wYAQBTpkxpaWkh0ntTm+qgisI6dOgQAHh5eYmltLCwMCcnp6amJiLl6dOnWG2TJ0/mV5tKIb+7dCRHdXW1tbW1lpaWpaWli4sLsQmR2BEkLJ2dncRJlnV1dW5ubiUlJU5OTqmpqXj8XQVROWF1dXUtWLDgypUrmpqa/OFo1dTU3n77bUJkY8eOJd7s+k99fb2bm1txcbGjo2NaWlrPeUDVQbWExeFwFi1aFB8fb2JikpycrKamRuyozsnJYbPZRE46nW5nZ+fMxxvbs+bm5tmzZ+fl5Tk4OKSlpeExfZVFhYTF4/E+/PDD6OhoAwOD1NRU/sPcAIDNZpeXl4usMyaT6e7unpubO2rUqPT0dLz8S5VRFWHxeLzly5efOXNGT0/v2rVrLi4ufecXSme2trbvvvtudna2ra1teno6HrtScVRCWAihwMDA33//XVdXNyUlBY+5CwWLxSooKCB0VlpayuPxiG9pNBqPxxsxYkR6erqlpaVYbVdUlF9YCKGgoKBff/1VW1s7KSlp+vTpAy9ToD0rKChob29PSEjAC7xIAJR9Soc/8vb169clVAteIhEcHCyh8hURJRcWjomlrq7Ov9pE7Ny5cwcAjIyMiHXPJMosrC1btgAAg8FITOaJC2cAAAHGSURBVEyUdF2Ojo4AEBsbK+mKFAUlWY/19OnT8vJy4rKlpeXChQsHDhxgMBh//PGHFLo+y5cvBxntgJVTZK1s8bB7924cvhaTnp5uZ2eXkpIitSaktrZWTU2NTqfX1NRIp0Y5R0larNfi7u7u4+MjnbpMTU3feecdLpcbFRUlnRrlHGUWlpTBq5yPHz8ua0PkAuVZmhwfH0+Mp7e1tUnfAG9vb2Nj46KiooKCgnHjxknfALlCeVqs2bNnx75i586d0jeAwWD03MivsiiPsLS1ta1eYWpqKhMbsDc8deoU/8SiaqI8wpIH8EKuxsbGpKQkWdsiY5REWEZGRvwrVbS0tHoejiIdpBDERiFQ/kloKXPv3r3jx48HBQXZ2toCQGtra11dHV4Cr1IoSYslP0RGRiKEsKoAID093c/PT7YmyQRSWCQSgRQWiURQngFS+SE2NpaIiNzQ0MBgMGRrj0wghSV+ZsyYQZyNeOPGDdV8QySFJX6MjIxwSGYAqKyslKktMoPsY5FIBLLFEjM6Ojr8QbDU1dVxLD9VgxwgJZEIpCskkQiksEgkAiksEolACotEIpDCIpEIpLBIJAIpLBKJQAqLRCL8PzirEuzgDH2kAAACfXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAA5IFYA4gZGNgYNIM3MwuYApRnQaAdUmhEszshISJxUdewQ+5gJmUOsfg4In4nBQIMRJMADJCQ5gIRjSX6uX2lOjoYMgzZMUgSbJDcDowozA5MWExMTsyADswoLI0sGEyNrAhO7CjOToAoLs6QCs7QGEwtHAoukAisbAytXBhO7cAK7eAYTBycDB08GExc3AxdPAi8fA69oBhOveAK/AAO/cAYTv2iCoBCDsAiDqBiDuASDpBSDoAwDjyyDCDMrMwMjiyQbKxcPBwsjG684uzC/qHgR0IlgV4IjrjLihN2ng9McVaZrO+Vwdtp7n5jh2Nem5uS/XsQ2z6TXMVVSz8m64Nye7tqFjt4zdZ2UbzfaC7xc7Ki7UNXpx6Er9iHJkxxF5yo5GZXftRe/2en43VTZacn9f3b7DjY5tsjpOK2fstf+ZNkKx7RnCk4zfLba6/3f4MjtpuC0NpPLIff5NMerP2SdXN21HF4/muh4XUjaSUWDyeHFzYWOx3/JOM0OFXa4sDnX8d9hTac/EuEO/1KzHPf3aTrxFuoA3ZbsmCGo4bTrltb+nb3hjs5z1Jxm7g7bLz2v1/G7m5GTx/61+yu6pzjy5Ro5/Vl5cV9TcZlju7qWk9jv3ftXn690XOWk5VR8fZP9jLtxjpU31J3uTb5vz/7B37FcV83pEsM7+/6UBseQL9pOKjtVHK5ytjnGdes6pa46YNd5cIWj2CtNpx6vLLvdOzY4JttrOQktld3PNmmxY8dRQydbrun7LSraHF8Xmzk1eCg7vPdc5hhySdxJDAAAV7ts+IjymgAAAxJ6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VU1vkzEMvvdX5IxE5K8kzoFDt06A0FqJDa4IISR24bT/L2ynfd9kB9odEvfxY8d+7JXX3/Dj15+fL3+Ph+Sfr6cvL69p+/DpYHb4z1/vPX1nADg8Jj+ku4ePn8/p/vl4d7PcX76dn5+SnZjMx74r9vh8ebxZMN0nyNzRKBNqVpFmJ6GsvVWYfMmQmKGBW7Fn6E0dibkyyozk4ASuwdlyLeEjnAuJzkgx5HuDUiEzE2TUcDIo995maBnhUcpAiuo1vEBbwtdA1ko0nkRd3UfAEuEF2dInQzYGGokSIwykAi3RNZ4k48lYM4tcnwRGPyN7RBdF9Dwt46JXTqICMxIhwgtWT4ooIw1SK0jVJVH0NhmgRlbeJi+TVbpbTryykrGSPX/0yZ7PnkFize0tKwcrMLdRUxqNNFYS6QtUAmqV8mehZC2RtelEZO0+FkvA+lehD2iV3geUta/QOpQiN1brAw8oYFuf5b0yqdQazUbO0sLL9VdoUSpqOjtWOSRijW0QYhDJpXq9Jmx3XsxcBq8aQnFgrYRlmQAYchXobsdiJ6aRb2FdpwUHr9SwG7bihq0FF+wYLe6NxtM69evTel2LSzwkKzWEQLkbYkCLyAqVYNUSNTfNggxWc9I3yZbQTGl8lXcrMac+hlrXXKvV1hZGizl1ffeYSBdCe8PqLXPZRxdM3yaIrQK4yIs0XaK7GFr18ZaxCMROtGJ7eueVRZ+ryFZBY2dtNYb0eHx6+oC0bSQwHwtbYs0ZfRvP4pZ7KbK70Bbm4XxaFuVYnXeX82lfnf6lfT+SXXlfgv6r7JtO7PeybzO/1n1lmWfSfS/5FXXfPuj4uu8Y8rtOm0SMsk/rAu2+O6CnVlObJl88KE7zLRaG5ikOg0yzihYY54kUN/A0dhihaRouCQtPI4QeDMs0KOIWomkchkUm1WMk0CZxi1to1vCw0CRVjKT6pEj0FAgn4aEHJJ7khU5PZRIPOhlt0RkHM23M7AW2qvKin1ktfr/9k7bz4R9qEYBk3gEg+gAAAox6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxlks1uU0EMhV+FZVrdDv4bz0wjFlWFYAWVQGxKFyXKAtEkVQms+vAc3wjRazaT+Bxfj/2Nb1nO7z6sbt/fnb2+Xr255q84P56dlI1seHP69/cUOg99jrL372Scr55XF1y4T+ylU2+T1eKssr6g0rVDb6WRyGRWqg9dI1trs4k74s6hO3ldUyF1jXSv5JNpqWIdsg7WyO5mqC6lj+ZRnaTKJIS78RnSdYwWunPtoZuFbviVEWUaQuFCw2qUsdYdsgh6FIFMEnJ1HmtkMbKiSIdtXIyahdzQGg9kt1l25ZDdMSBalNFRGy1UDbkpamIgUQ61k7S1FHZp8zzoR0cxMBFUiMKooGhee2neDTKptmgDFSySxWxArhVIIGMEnrSVUWvcZ515HhE1LEarIbJbDMhiHipFZQwWE+DN1GyGTegd2b0OC5lscOAYHZRwYdM5u1XrM2tcDBnz8cSGr3BHMDXggOs0QnYbI2TtI9rT0YBDy5CozWX4DK+ZgweuQhxyNYsGyU61hUijCPHpdT12R/F8Mmd7lXkbjEaduOJXT++IFmPXzLuHHjt5et/KZ9P98bC7eTo8XlLZHR4+H45f7h+2+822MJSfv749HjY/tsfy6S3C7f7396fDfrfdH8v+/pJf+Fc3CF/67VKWtiRbl7Ym25a2Jbsu7ZpsX9qe7La0W7L70u7JHkt7JJspcaGckMFlcpzQcWbHCR5nepzwcebHCSBngljxvA/8kuq7q4jzRiSwnMlyQsuZLSe4nOlKoiuZriS68t9e5sXMdCXRlUxXEl3JdCXRlUxX0oJK3lBJJCWTlERSMklJJCWRfP4DxR0CH+zBHI0AAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
@@ -724,7 +724,7 @@
        "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -734,68 +734,68 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
        "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
        "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>B</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
        "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
-       "      <td>0</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -858,45 +858,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>496</td>\n",
-       "      <td>505</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>520</td>\n",
+       "      <td>681</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>463</td>\n",
-       "      <td>399</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>527</td>\n",
+       "      <td>573</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>359</td>\n",
-       "      <td>247</td>\n",
+       "      <td>743</td>\n",
+       "      <td>399</td>\n",
+       "      <td>344</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>262</td>\n",
-       "      <td>44</td>\n",
+       "      <td>355</td>\n",
+       "      <td>286</td>\n",
+       "      <td>69</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
+       "      <td>47</td>\n",
        "      <td>42</td>\n",
-       "      <td>37</td>\n",
        "      <td>5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>39</td>\n",
-       "      <td>3</td>\n",
+       "      <td>59</td>\n",
+       "      <td>46</td>\n",
+       "      <td>13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>1656</td>\n",
-       "      <td>1203</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>1820</td>\n",
+       "      <td>1685</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -904,13 +904,13 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_enamine  rejected_enamine\n",
-       "AP             1001               496               505\n",
-       "FP              862               463               399\n",
-       "SE              606               359               247\n",
-       "GA              306               262                44\n",
-       "B1               42                37                 5\n",
-       "B2               42                39                 3\n",
-       "Total          2859              1656              1203"
+       "AP             1201               520               681\n",
+       "FP             1100               527               573\n",
+       "SE              743               399               344\n",
+       "GA              355               286                69\n",
+       "B1               47                42                 5\n",
+       "B2               59                46                13\n",
+       "Total          3505              1820              1685"
       ]
      },
      "execution_count": 14,
@@ -992,7 +992,7 @@
       "    additional column (bool_syba) defining whether the fragment is accepted (1) or rejected (0)\n",
       "    and the calculated SYBA score (syba) for each fragment.\n",
       "-------\n",
-      "\u001b[0;31mFile:\u001b[0m      ~/micromamba/envs/kinfraglib_custom2/lib/python3.9/site-packages/kinfraglib/filters/synthesizability.py\n",
+      "\u001b[0;31mFile:\u001b[0m      ~/KinFragLib/kinfraglib/filters/synthesizability.py\n",
       "\u001b[0;31mType:\u001b[0m      function"
      ]
     }
@@ -1074,15 +1074,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAZDElEQVR4nO2deVRUR9qHf9000s0qKiqCe6KOSxQxg4CKKIIaFzJxSURFGcWM+nmMGSFqYibGBbOYmKgjHqM4IY4x4kTOKLKIyqIom9sYN8QBFYMoDb3R0N31/XGZtgE1gF33dpt6DsfTVMOtF3moW/VW3SoRIQQMhrkRCx0A4+WEicWgAhOLQQUmFoMKTCwGFZhYDCowsRhUYGIxqMDEYlCBicWgAhOLQQUmFoMKTCwGFZhYDCowsRhUYGIxqMDEYlCBicWgAhOLQQUmFoMKTCwGFZhYDCowsRhUYGIxqMDEYlCBicWgAhOLQQUmFoMKTCwGFZhYDCowsRhUYGIxqMDEYlCBicWgAhOLQQUmFoMKTCwGFZhYDCowsRhUYGIxqMDEYlCBicWgAhOLQQUmFkXq6nDmDJTKBoUXL6K0VKCAeISJRZFHj+Dvj8uXGxTOnYvvvhMoIB5hYjGowMRiUEEidAAvPxUVuH//yac6nXCh8AgTizpTpggdgRCwWyF1zpwBIU8+XntN6IB4gYnFoAITi0EFJhaDCqzzThEnJ6xfj27dGhT+3/+hb1+BAuIR1mJRxMEBajWSkhoU/vorZDKBAuIRESFE6BheZuzsoNMhKwu+vvUl7u7YsAEREYKGRR/WYlHHywuLF/9e8qJGmFjUiYpCWRm++UboOPiFiUUdZ2fExODjj38Xq2WMMLH4IDwcgwdj+XKh4+ARlm7gA5EIO3di6FCkpAgdCl+wFosKej2OHm1QMnAgli5FVBQMBoFi4hcmlvm5dQtjxmDSJBw50qD8k09QUYHycgDYuRM//CBIdDzBxDInOh1iYjBoEDIy0LUrHB0bvOvkhC++AIBff8WyZZg9G++99/KmIYg1kJdHsrIalFy8SP7zH4GieQZXrpDXXycAAcj06eTxY0IIuX2bqFQNvqyoiFRXk337iExGADJyJCkrEyReuliHWIGBBCAnTjwpmTaNREQIF1BD6upITAyxsyMA6d6dpKQ067vy8ki3bgQgHh4kJ4dyiLxjNbdCNzcsWQKtVug4mnD5Mnx98cEHqK1FZCQuX8a4cc36Rm9v5OUhMBD37iEg4GV7dMdqxAoPR00NPvtM6DhMqKvD5s0YNgx5eejRA6mpiI2Fk1MLruDmhpQUREdDq8WCBVi0CLW11MLlF6sRSyrFF19g40bcuiV0KACAS5cwfDg++AB1dfUN1dixrbmORIKYGMTHQybDrl0YMwZlZeaOVQisRiwAb72FUaOwZMmTEpUKdXV8h6HVaj//PMXbGwUFeOUVnDqF2NjGA8CWEhaG7Gz06IHsbAwbhpwcM8UqHNYkFoDt25GRgX/9q/7Tv/8dbdti3Dhs3oysLD4ku3DhwvDhw6OiQoYNux8ZicJCjBplnit7eSE3F2PH4v59jB6NXbvMc1nBEHr00CwCA8mHH9a//ugj0rs3mTyZRESQd98lIlH9CB8grq4kNJR88w25csX8MWg0mqioKBsbGwB9+/bNzj5r/joIqasj0dEEICNGxM2ZM0etVtOohQesTyy1mvTsSdq0qU83lJeTgwdJZCTp3/+JYQDp2JFMn05iY80j2dmzZ//whz8AEIvFkZGRSqXSDBd9NgcOyNu2bQvA19f33r17VOuihKWLlZNDdLoGYhFCkpII8JQ8VnEx2bOHzJ5N3N0bSNazJ1m4UBcf/8P9+/dbGoBarY6OjuYaqv79++fwlXEqLCzs2bMnADc3t/T0dH4qNSMWLVZiImnThsycSeLjSUZGg7d27SLHjj3ve4uKSGwsmT6dtG9PADJgwDnu1t+rV6/IyMiDBw9WVFT8ZgDZ2dl9+/YFIJFIoqOja2pqXuwHahkVFRXjxo3jao+JieGz6hfHcsVKTiZSKQHI8uUvdB29nuTnk507z02YMMHRZPAmFou9vb1XrlyZlJTU9NbGNVRisRjAwIEDz58//0JBtBadThcdHS0SiQDMnj3birpcFipWSkq9VcuWmfOyOp0uLy8vJiYmKChIKpUaJZNIJN7e3tHR0ampqRqNJjMzs0+fPkI1VE05cOCAg4MDAC8vr+LiYmGDaSaWKFZGBnFwIABZsIAYDM36lrQ0cudOy2pRq9WpqamrVq3y8fHhulAcUqmUayGGDBlSWFjYivhpcPHixd69ewPo0KFDWlqa0OH8NhYnVmYmcXSs75vr9c36Fr2etGtHAOLuXj8SLC1tWaVKpTI1NTU6Otrb29vGxkYqlYaFhWm12lbET4+qqqqpU6daS5fLssTKziZOTgQg8+c31ypCSEUFCQ0lrq5PhoEiERk4kCxbRn7+mVRWtiyGRYsWAVi7dm1Lg+cBnU63atUqrkGdM2dObW2t0BE9EwsS68yZeqvCw1tglRGdjuTmks2bSUhI/Z2U+7CxIdOmvfvBBx+kpKSoGq2NehpHjx4F4OPj05qfgRcSExPt7e39/f0tuS9vKWLl59c3OTNmkLq6F71aXR3JyyMxMSQoiLi6qtq0adO0k/6sLrlKpbKzs7OxsWlOPkIQDAZDt27dAKSmpgodyzOxCLEKCuo7SdOmmcGqRiiV2uPHj0dFRQ0bNsy0k+7g4DB+/PjPPvusrMkKzjFjxgD48ccfzRxKyykuLjY0Gb+cOnUKgKenp06nEySq5iC8WAUFhQMHailZ1QiFQmHspHM9FQC//PJLoy/bvHkzgAihl6hqtVo3N7dXXnmlvLzctHz+/PkAPjSdi7A8BBbrwoUL7du379JleESEgueeaFlZ2f79+5c/Lf164cIFAB4eHk1bCz45fPgwgAEDBpgWKpVKJycnANeuXRMqsOYgpFi//PJL586dAUyYMEHwJKQpBoPB3d0dwBUayySaDZdc+OKLL0wL4+LiAPj7+wsVVTMRTKxr165xv7zx48dblFUcc+fOBfDll18KFUB5ebmtra1EImnUBQwMDASwa9cuoQJrJsKIdf369S5dugAIDg7WaDSCxPB8fvjhBwAhISFCBfDVV18BmDx5smnhnTt3xGKxTCarbGl2jncEEOvmzZucVUFBQRabiXn48KFYLJZKpUJFOGTIEACHDh0yLfzkk08AhIWFCRJSi+BbrDt37vTo0QPAyJEjaS+Xe0G8vb0BJCcn81/1pUuXALRr1860k2AwGLjpwpRmPrgoKLyueS8pKQkMDLxz546/v/+xY8e4GXuLJTg4GEBycjL/Ve/ZswfArFmz7OzsjIWZmZlFRUUeHh5cms3S4U3hkpKSXr16AfDz86uuruat3lbD5SEbjfZ5oK6urlOnTgByc3NNyyMiIgCsXr2a53haB09ilZaWcs24r6+vVVhFCKmtrXV2dgZQUlLCZ70///xzU6FVKhWXvmqazrVMeLoVbtu2raioyMfHJykpyalFDwsLh62t7ejRowGkpqbyWe++ffsAzJs3z7QwISFBoVD4+fn169ePz2BaDw/y6vX6wYMHi0SioqIiHqozI9u3bwcwc+ZM3mqsqKiws7OTSCSNnvsYO3YsgNjYWN4ieUH4aLHEYnGHDh0IIbm5uTxUZ0YmTJgAICUlRa/X81NjfHy8VqsdP348lz3muHv37qlTp6RS6YwZM/gJ48Xh6VYYEhKCZ4ywdBa89VjPnj179+5dWVmZn5/PT43cfTA8PNy0cO/evXq9/s033+QeNrQKeBWLS8AYC3U63cSJE93c3NRqNT9htILn/EmYnStXrhQWFrZr127y5Mmm5dw0QCPbLByexBo0aFCXLl3u3bt39epVY6FEIqmoqJDL5adPn+YnjFbAZzaLS1+98847pumrrKys69eve3h4BAUF8RCDueBJLJFIxD172eg3xGd70DrGjBlja2ubk5NTWVlJtSKdTvfPf/4TTVom7uY4d+5c01WKVgBvwwSuPQ8ODjYtzMzMBNCvXz/ewmgFo0aNApCQkEC1liNHjgDo37+/aaFareb6VdaSvjLC35ROcHCwWCzOyMgw7VENHz7cxcXl2rVrJSUlvEXSUvhpVp+VvpLL5b6+vlaTvvof/InVoUMHLy+vmpoarpXikEgk3MxXigWf2cCDWI8ePTp69KiNjU1YWJhp+VMHiVYBr5PQT/0NCTjX20y8vLw6duz43//+98aNG5Sq2L9/v1arDQkJ4RYUcdy9e/fkyZPWlb4yIrxY48ePB5CWlmaxCS2xWMyNyOjZ/9SWad++fXq9PjQ01NXVlVK9FOGzQ1dXV+fi4oIm07qvvvoqgDNnzvAZTIvgVpq/8cYbNC5uMBh27949YcKERotpuX5VUlISjUppw/dCP+4Bge+++860cOnSpQA+/vhjnoNpPmVlZSKRyMHBgbfl+VlZWQC6dOliyQ8PPge+N7d96t3QmJfnOZjm07lz50GDBqlUquzsbH5qtNb0lRGeRb59+zYAV1dX0z9EpVLJPdX+6NEjnuNpPitXrgQQFRXFQ13G9NXVq1d5qI4GfLdYxmndvLw8Y6GDg4Ofn59er09PT+c5nqbcuHHj3LlzTcv5nCQ4fPiwXC738fHhdtS1RgQ4YTUkJGTHjh3Jyck+Pj7GwuDg4JMnTyYnJ0+bNo3/kIzcunVrzJgxCoXi9OnT3HMyRkaOHCmTyS5evDh27Nj27ds7OTnJZDJHR0cnJyepVOrk5GR84ejoKJPJuBdSqZRbhtoirDd9ZURETJYb8ENiYuLUqVP9/PxM+yuFhYVDhw719PQsFe5I7pKSkoCAgDt37owYMSIpKcmx4WkTO3fuXLx4cefOnctafiaJ0TAHBweZTMa9kEqlLi4uxhf29vYymczFxUWj0URERNja2t6/f98qEw0ABBFLpVK1b99ep9OVl5e3a9eOKySEeHh4lJWVXb16VZD2v7S0NCAgoLi42M/P7/jx443WT+/Zs2fhwoWEkPfff3/06NFqtbqqqqqmpkalUhlfVFdXazQa7kVNTY1SqTS+aGkwnTp1cnd3LywsNN/PxzcC3AodHByGDx9++vTpkydPvvXWW1yhSCQaO3ZsfHx8cnIy/2LdvXs3MDCwuLjY19e3qVVxcXELFy40GAwxMTHR0dGtuL5CodBoNEqlUqFQ1NTUKBQKpVKp0Wgavaipqamurq6oqMjIyHj06FFubu7rr79uph+RdwQZMmzcuBFAZGSkaeH3338PYMKECTwHU1ZWxqUihw4d+pg7F9WEAwcOcAP+jRs38hYSNwLt16+fZe4/0ByEEYtb6du9e3fTwgcPHohEIplMxudT7Q8ePOAaSC8vr6bJjoMHD0okEgDr16/nLSRCSE1NTf/+/QGsWbOGz3rNiDBiGQyGjh07oskmT15eXuBxB8Rff/11wIABAIYMGdJ0Y8hDhw5xVq1bt46feEw5e/asjY2NRCJp9NiqtSDYNkazZs0CsHXrVtNCrgfz17/+lYcAysvLBw4cCOC1115ralVCQoKtrS0EnWhavnw5F56lbQzeHAQTi0vVTJw40bSQS5AOGjSIdu2PHz8eOnQo14958OBBo3ePHTvGrTrnR/FnoVKpuOl5S55FfRaCicVN69rb25tO62q1WkdHR5FIRPUstcrKSm4nmb59+zY9DywpKYmzasWKFfRiaCbZ2dlisVgikeTn5wsdS8sQcqvIwYMHA2h0gMf333+flZVVR22bW7lczo3h+/Tp01Tf5ORk7oydp+5NKgjc0o/Bgwdb8nEBTRFSrKioKPA1rcshl8v/+Mc/Anj11VebWpWSksJZtWzZMmG3tTVFpVJx+6l8+umnQsfSAoQU68SJE9zfIj/VKZXKkSNHcmmOO02OdMrIyOD261qwYIHlWMWRnp4uEonatGlz6dIloWNpLkKKZexRteLg05aiUqkCAgIAdOvW7fbt243ezczM5GYGIyIi9K04boU+7777LoCJE5fQ3grfXAi8z/sbb7wBYN++fVRrUalU3GbDXbt2bbrjTXZ2NjeHM2/ePMu0ihBSXV09deq/7O3Jpk1Ch9I8BBZr69atAGbNmkWvCrVazT1h5unpeevWrUbvnjlzhrMqPDzcYq3iOHGCiETEzs48x6fTRviTKQA4OjouXbo0ISGBxgrS1atXA/Dw8Lhx40ajt/Lz87l1KTNmzKA3DjUjCxYQgPj4EMtfBy+kWGq1mttPzHisjVgs7t+/P3cYuFwuN1ctc+fObXpASEFBAbdoZ9q0aVZhFSGkqop07UoA0vC0CktEMLG0Wi3XwerYsWN8fPy6detGjx5tusuKra3tiBEj1q5de+rUKbM/G1NYWNi+fXsAf/rTn6zFKo7U1Pob4n/+I3Qoz0UYsbRa7aRJkzirTM+rUavVmZmZ3GHgxkMGAchkMn9/f+6cwRfPE168eJGzKjQ01Lqyjhzh4QQgvr4WfUMUQCytVjtlyhQAbm5uly9fftaXmZ7TLBY/eejD0dExKCgoJiYmLy+vFd1t48lQlnmGT3OQy4mnJwHI118LHcqz4Vus2tra0NBQAK6urs2f/3r48GFiYiInmekqRTc3t+nTp3/99dd5eXnNuY7xZKiQkBDrXUNHCPn3vwlA7O3JzZtCh/IMeBVLp9O9/fbbANq2bdvqZUZlZWUHDx6MjIzs3r27qWTu7u7Tp0+PjY1tmlXnMJ4MNW7cOKu2iiMsjADE378152fzAH9i6XQ6bg2Wi4vL+fPnzXLNoqKi2NjYOXPmeHh4mErWq1cvbmhpXGh148YNyz8ZqkVUVJDOnQlAtm0TOpSnwZNYOp1u9uzZAJydnXNycsx+fb1ef+HChS1btkyaNMn0UQixWOzl5bVw4ULOqhEjRigUCrPXLhRHjhCAODiQJnlfuqxZs+Y3/xv5ePzLYDDMnz//H//4h4ODw7Fjx7idF+nBSZaWlpaWlpadna3RaAB0797d09Pz+PHjjZ4WtHbefhsKBXbtQsMm+4XQ6XSJiYkPHjwICAhwcHDgticBIJPJ3NzcOnTosHnz5s2bN+fm5jba3bkBtO02GAyLFi0CYG9vf+rUKdrVNUKj0Zw4ceLDDz8sLi626rbKYCBr1pBGG5Hu3UsSEsj16yQ6mpw9+6S8tJRER5NWH9q3du3aTZs2paenjxo1Ki8vLyMjIyMj48cff5w6dWpmZubq1auHDBny3nvv/fTTT8+5CF2xDAbDqlWrJk6caG9vn56eTrWulxudjgDkyJEGhUFBZPFicvw4AcgrrxDjgOT8eQKQ8vJW11WfH1u7du2R/1X56aefHj16lBCyfv363bt3z5o16/kr8SluCkIIWbNmTVxc3PXr11NTU7n1BQwa2NhAKsWmTea6mg0AvV6fn5/PrfJVKpUZGRlcjkYmk/35z38ODAyUy+XPuQjFJ6E3bNgQFxfXpk2b2NhYPz8/ehUxRCJ8/jlCQxEWhj59Gryl0UAuR1UVqqrqX8jlEImuV1QcVigU1f9DoVBUVVUpFIqPPvpo9uzZXKMQHBzM5XT279//zjvv2NjYyGSyFStWAFiwYMHzQ6Il1oYNG3bs2GFra7t7925uppnx4qSmorz8yaf37z/RaPx4BAfjL39BWlp9SUUFPD1RW/uU6wQE3L5x49unVlFdXa1UKleuXDlo0KDFixcD0Ov1hw8fTkhIaFGoVMTatGnT9u3bOaus66AOCycnB7dvP/nUVDIAW7diwADs319vm5MTamthZwcXF7RtW/8v99GrV78334x2dnZ2cnJycXFxcnJyNmHGjBnXrl17/Pjx6dOnZ86cKZFIuOFhy2JtZQfv2cTExLi7u3fr1k2QY7pfVp7feZdI6kvWrSOdO5O0tPrOu4DzC2buvH/++edbt261sbH59ttvuQ3cGXwSFQVnZ3z5Zf2nUqlgkZjzVrhjx46vvvqKs4pbv8DgGTs7bNsGS/iLNluLtXPnzvXr19vY2GzdupVbv8AQhHHjMH260EHgBfpYV65cMT7mFhsb6+7u7unpeejQITPdoxmNKSggVVUNSm7dIqWlpKqKNFp/JJeTvDwi7MLY35gr1Gg0jx8/Nq4duH37do8ePfR6/d27d8+dO0cIGTly5NWrV+fNmycWi7ds2WKNp74waPA8sbZt23b06NFOnTrFxcWdP39+y5YtBQUFBQUFcrl8xYoVIpFILBaLRKINGzZ88803Pj4+3ForBgN47q2wsrLy1q1b4eHhhJCqqiqdThcSEsJN5T569GjJkiURERFN91ZkMMjz0w2mZ6Y7Ozubnr2xd+/e0NDQKVOm/PTTTxStZ1gtrUw3vP/+++aNg/GSwfeRJ4zfCTZ/+9vfnvVeVlZWYmJiQUFBXV1d165d4+LiuC3R3N3dTe+SDEZTnjcqLCsre/jwIQCxWNy7d++bN29y5T169GjF+TCM3xUCHHnC+D3A+lgMKjCxGFRgYjGowMRiUIGJxaACE4tBBSYWgwpMLAYVmFgMKjCxGFRgYjGowMRiUIGJxaACE4tBBSYWgwpMLAYVmFgMKjCxGFRgYjGowMRiUIGJxaACE4tBBSYWgwpMLAYVmFgMKjCxGFRgYjGowMRiUIGJxaACE4tBBSYWgwpMLAYVmFgMKjCxGFRgYjGowMRiUIGJxaACE4tBBSYWgwpMLAYVmFgMKjCxGFRgYjGo8P9Unx/Jf9BKHwAAASd6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAHii/gZHNQQNIM7OwOWSAaGZGdogAM1wAoQJCsztYgGhGTBXsDGABJkYGAw1GIItRGkhIcgAJx5L8XL/SnBwNGQZtmCQ3NkluBsYMJgbmBEamBCbWDCZmlgwmFtYEFo4EVrYENvYEdo4MJg5OBU4uBgZuBhEmNqClrEyMrGysLBzs4rNApsJ96P5R7AB7UuB+ECeqz+BA7iYFexD7S+Wt/U3WN8HsMO6M/Z9uzACrWf5CxK4g6/9eENuupGnfZOGVYDXZIvX2nLWcDiD2svtcDrzJsyF6cy/Zd6Y47wOxX2vKOVybvANszv4/tQ4SH9dAzHSKOuA3+SOYLQYAYQRGW9bi0ugAAAGNelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZNNa8MwDIbv/RU6D2IkWf7QYYe2KWOMprB2u5ayywplMOj/Z3JK6hTMnAQs+dFrS1bCRX6Pp8t1dfz6Pp1/lgso471/O1/hPrhfmB//eVUVPj0iLrZQJrDavLwOsD4sV5NnvfsYDnsgBvIWY88juzzstpOHYA0dOx+ypAQdukxJkQEdjqPG8o1MIcecbT1ySuwboIcBOnIJo2kCuaiJWBugFEV0ilFMyEJIhZgaZDASHUkQ0hJCLIlCA4w3SQ6S1NvenlEJG2CyQ9rWGgUDsElnDqnBZRO05ahqXnJMXmNLT42zVMWWeTyhYqZWdew0gyna+T3mkrQII7UKTgRP4J3GHAIV0gcizDMStsv9/pnTPYItovNOCD2N4jkn3wghmkI2Q//QD7cOWe2GvnaI2Me1DYop9bLFXL5eqZgr1nsrjlBvx4y6mkZTa6nFiFQrKkbkWd3EEJ1Vh4whnCVPhaq5Wf0LRDxPdp5asacfx+aLP/FzsSICgJloAAABQ3pUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWQP08DMQzFvwpjqXJW7Dh/fJ0YQEyoEoil6lCiGxBtrioHUz88vpuasNnvZz9bb4e43mfMJdOuPO9zXr3sKK7395ky3l1XnQNG68h0CClFh2bTETifOJnOQsIolhYt+hTEWAgUIzmVEKINyRuEIBFnxQJ5juJUcmRFvSyIBLbeECAnCmajRRDRCUIn2us2z4Uuo9g0+xCw+uH8EjNZtXEgesnPivOIizGyZ5Rlj3TeL/fFBtbndA6Fkcy9OUzjaXsZz72F03h8G6f3w3EoeQBU5fvn4zzmr2GC10dth/L7eRnLaSgTlEOPN/xhq+0tx9BTzanlruau5VxzbrmvuW95qHloeax5bHmqeaq47+VfYHKz8LTVtg3MNonZ9iS2mbahXv8AfOzL7IZh+woAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -1098,9 +1098,9 @@
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
@@ -1109,7 +1109,7 @@
        "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -1121,74 +1121,74 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATCUlEQVR4nO3dfVRUdf4H8PcA8jgOSvgwKCoQR0tMkzTRfGTQrdDMHHM7QYvmWO6Bk7+Ojllm52ydndOaUrvtNmrmY7VjZD5GjOUiPhwVUwhFVwFTMUgUkCeRh8/vj0s8jDDyMN97x+3z+sv7vZd7PzO+597v/d47d1REBMYczUXpAtj/Jg4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhMCA4WE4KDxYTgYDEhOFhOJz8fCxfib39r0ZiTg4UL8d//KlRTx3GwnM6NG1i7FkuX4vvvmxoLC7F2LX75RbmyOuj3Hqz0dBgMtv9hBQUwGHD8OE6cwMKF2Latxdy0NCxciPJysYUNHIhFi1BdLXYr4vzeg5WTg3XrcPNmi8aSEqxbh4sXcfEi1q7FggXIzW2am52NtWtx+7bYwt56C5cvw2QSuxVxfu/Bao/evREfL/dGBw3C66/jr3/FuXNyb9oh3JQu4D7wl78gNhZffYXZszu5htJSVFSgvBxlZSgpQXk5ystRUYHi4oZ/l5ejtBS3bqF/fyQkNPzVG29gyxbEx8NqddRLkQ8H6950OsyciYQEREXB17ehsaoK27ejtLQpGY0pqahASQnKyhomb93qwLZCQ5uC5eODxETMmoV//xuBgQ5+UaJxsAAgKgrdujVN1tbaLrB6NYYOxdtv48MPG1qqqjBnTnvX37071Gr4+MDXFxoN1Gqo1ejeHT16wMenYbJnT6jV8PNr8YfPPounnsLSpdiwoXOvTDEcLAD4858RENA0WVCA5ctbLBAUhOXL8c47iItraFGroddDo2lIhkYDX9+GiEgpaUxMjx4dKyYzs8XkRx8hLAyrV3fiZSmJgwUAM2di6NCmyXPnbIMFYMkSbNmC117DCy8AgLs7LBY5agsJwbJleOcdObblQHxW2F4eHvjHP5Caip075d70smUYPFjujXYR77E6ICoKej22bxe7ld69YTRi0KCmFg8PbNiAXbswYIDYTTsQ77E65sMPm04MBenbFyYTHnywqaWwECkp8PBAUJDYTTuQ6zv33dHb0fz9MWUKfHxaNHp6YvJk+PvD1xc6HTw8Gtq7d8eQIRg0CJGRcHeXqcJr16DX4+RJJCTIt9EuUhGR0jU4tfp6/OlPGDcOL78MV1fFynjiCRw+jE2bEBurWA0dwofCe/jxR2zZApNJyVQBDcMcn32mZA0dwsG6B+lyyrRpCpfx/PNQq5GaiosXFa6knThY9yAFKypK4TLUasyeDSJs2qRwJe3EfSx7Kivh54faWvz6q+3FFvkdPIiJE9GvH37+WeHjcnvwHsuegwdRXY3wcLlTVVKCDRtQX9+iccIEDBmC/Hzs3y9rMZ3DwbJHqePguHGYPx8//GDbHhMD3CddeA6WPUoF6/nnAWDjRtv2l16Cqyt27EBRkdwldRQHq02FhcjKgo8PxoyRe9Pz5sHVFUlJKC5u0d6vH6ZOxZ07+OILuUvqKA5Wm6xWEGHixKZhd9n074/ISNy+jS+/tJ0lDWitXy93SR3FwWqTsgMNbY2IPvMMevVCZiZOnZK/qA7gYLVJ6jsrFaxZs+DvjxMnkJHRot3dveGGMCfvwnOwWnfmDK5eRd++ePhhZQpwd8fcuQBaGRGdPx8Atm0T/hW0ruBgtU46Dk6dCpVKsRqko+HmzbZfWx02DNHRZcOG7dmz51tFCmsPDlbrnOFKzsiRGDECN25gzx7bWX/4w+bU1OmffvqREnW1D3WZyWQqLi7u+nqcR3V1na8vqVR07ZrClSQmEkBPP23bXlJS4uXl5eLi8vPPPytR173dY49VUVFx/vz5srKyxpZLly5dvnyZiKR/A9i5c6e3t/cv99EDK+7l6NE0lSr4uefWa7UKV/Lii4iMPJqdPTU/P795u6+v78yZM+vr6zdv3qxUbfbZC9bu3bt1Ot37778fGRmZnJx869atmTNnvv766/Hx8TExMbW1tfPnz58zZ45Go4mPj58+ffpNm0cg3LesVmtJSd6AAdlKF4IHHoCf35rcXOvdAYqLiwOwYcMGcs7bCOzszT7//POrV68S0cGDB6OiovLy8iwWizQrKirq4MGDRJSSkjJ+/PiNGzcK37fKaPTo0QD27dundCFERPv27QMQGhpaX1/fvL2urm7gwIEADhw4oFBp9rSrj5WZmTllypTmLXq9/sCBA1lZWaNHjy4sLIyIiDh06JCYCuVWXFzs6urq7u5eVlamdC1ERHV1dYGBgQDS0tJsZr399tsAYmNjFSnMvnYFa/HixYmJiY2TZ8+eHTVqVEVFRVVV1eHDh4lo+/btTvLf0HVJSUkAJk2apHQhTd58800A8+bNs2nPy8tzcXHx8vJywpOnewfr448/1uv1t2/flibz8/MjIiKaf3qOHz8+YMCARYsWVVVViSpTRq+88gqA9957T+lCmuTm5qpUKh8fn1u3btnMmjJlCgCz2axIYXbYC9adO3eWL18eFxdXUVEhtRw9enTSpEk2++Tk5OSQkBCtVvv0008XFBQILFYWISEhAI4fP650IS1MmDABwKeffmrTvmXLFgBjxoxRpCo77N2aPGfOnIyMjBkzZqhUKgCTJ09euHDh2LFjBwwYAGDatGmRkZHSktnZ2XFxcZcvX+7Tp8/69evDw8PFnW0IdenSpaCgoJ49e16/ft3Vme7/3bhxY1xc3BNPPJGWlta8vaqqKiAgoKSk5MyZMw8rdfmpVXZCd/bs2YxmCgoKbCabL3zz5k29Xq/VagcOHPjFF1+I/TgIYzabAcyePVvpQmyVl5drNBoA2dnZNrOkY/eSJUsUKawtDhh5b1RTU/Puu+9qtVqtVrtkyZI7d+44cOXymD17Npyyy0JEL7/8MoBly5bZtB87dgxAnz59nOoNd2SwJElJSUFBQVqt9tlnn71+/brD1y9ObW2tn58fgJycHKVracWRI0fc3d1fffXVu2c98sgjAL755hv5q2qL44NFROnp6SNGjNBqteHh4RkZGSI2IcLx48cBhISEtDr37mOQ/Nr6oK5atQrAhAkTbt68KXNJbRFyd0N4eHhycvLIkSOvXbv23HPP7d27V8RWHM5qtQKIau2Whp9++mn48OHTp0+3uWYnM39//7ZmeXp6pqen+/v7P/bYY8uWLdu/f3+1sg+JF5fZ6urq1157TavVBgQEvPvuu3V1deK25RCTJk0CkJSUdPespKSk7t27A+jZs6dTXb+qrKx84YUXAKhUqoceesij2f35Pj4+Tz311Jo1a7KysuQvTGCwJJ988kn//v21Wq3B8Opdw3tOpKKiwsPDw9XV9caNG60ukJ+f/8wzz0j/Z9OmTbt06ZLMFd7typUro0aNAqBWq6XPQ2VlpdVqNRqN4eHhqmb3KPbu3Vuv15vNZunOFBkIDxYRHTlyJCwsLDJyx+DB5AQdFVslJSVmszk8PLx3795qtfrEiRN2FrZYLNLxyNvb22QyKbgbTktL69OnD4AHH3yw1X1SYWGhxWIxGAyBLZ/lHRwcbDAYLBZLaWmpuPLkCBYR5eYWDx1KAPn5UUqKPNu8h7q6upSUlLlz53p6ekrvuK+vLwA3N7c33njDzuWpgoKCGOkrycDYsWMV6dSbzeZu3bpJ+872dNhzcnLMZrNer/dt9jxCNze38PBwo9FotVodPlQhU7CIqKyMZs0igFxdyWSSbbOtuHLlislkCg4Olt5fFxcXnU63adOmoqIio9EoDbiHhITYvx1l9+7d/fr1A+Dp6bly5UrZxpBu374tDWgBSEhIqK2t7dCf19TUpKenm0wmnU7Xrdmz7dVqdXR0tNlszs3NdUid8gWLiOrryWQiFxcC6I9/pN+uQMqkqqrKYrHodLrGzkdgYKDRaLR5K48cOSJdG1GpVAaD4e7rvo2Ki4sNBoO0tuHDh6enp4t+Cfn5+WPGjJHSvGnTpi6uraysrLFD1uqxsq3uZnvIGizJ7t2k0RBAjz5K8tyxnZ6enpCQ8MADD0hvnKenp16vt1qtNrfONbpz547JZHJ3dwcwaNCg7777zs7Kk5OTpRvu3NzcjEZj420gDnfy5EnpKm3//v3tdwQ7ofFY6dfswTqurq6Nx8qOvi4FgkVEmZkUHEwA9epF//mPqK0UFBR98MEHQ5v9NEBERMTatWvb2WnNzMyUzrkA6PX6oqKitpasqKgwGo0uLi4AQkNDU1NTHfciGmzdutXLywvA+PHjhd5CUldX13isbD544e3trdPpTCZTenp6Wx/I5pQJFhHduEE6HQHk4UHr1jlyzXV1ZLWSXk8PPdTw4yF+fn4Gg+H06dMdXVVNTU1iYqK3tzeAvn37fvXVV3YWPnz48JAhQ6ROm8FgcNSdjzU1NUajUXohBoNBzguC5eXle/fuXbx4cVhYWPNjZb9+/V566aWtW7faOcVRLFhEVFtLRiMBBJDBQF1/x7KzaelS0mob1tmtG82b9387d+6sqanpymovXrw4efJk6T2Njo7Oz89va8mqqqqVK1dKneKgoCCr1dqV7RJRUVGRdG+Sh4fH+vXru7i2rrh78MLb29vO8VHJYEm2bSMvLwJo/HgqLOzMGioryWIhnY5UqoZIDRlCJhM58IhRX19vNpulwfcePXrYv/3h9OnTUndYpVLFxMR0ugt8+vTpoKAgAAEBAUePHu3cSkTIzMxcvXr1ihUr7CyjfLCI6OhRCggggIKCKCWFdDpatKjFAllZpNNRZqbtH6ank8FAanVDnjQaiokhq5Xa0QfojLy8vKlTp0qf1yeffNLOl0VrampMJpPUR+nbt2+rl4ns+/LLL6VDcERExDXFvzjbcU4RLCLKz6cxY2jQIEpNbUjJb980IyI6dIgAauwT5+eTyUShoQ1LAhQeTmYzyfN9DovFIp1gajSaxMREO4PvFy5cmDhxYmP3/9dff23P+uvr61euXCmNYrz44ouVlZWOq10+zhIsIqqqorw8ysgggMLCKCCAGs/epGD98ANZLPTkk+Tq2pCnwEB66y26eFHuUgsKCmb/9ju+48aNO3fuXFtL1tbWrlmzRtr39OrVK/PuvW5LpaWlM2bMkAYvTMqOI3eNEwVLIgXr88/J15fi4xsapWAdOECBgQ0nktHRZLFQ1zrlXbVr1y5p8N3Ly8tkMtkZBM/NzdXpdMOGDauurrazwvPnz0vnlf7+/t9//72AkuXjpMHav58++IBcXUkazW48FP7rX/TRR9SFAWEHkwbfpV3XiBEjTp482daS9fX1hXbPTfbs2SNdyBsxYkReXp7ja5WX8warpoYeeYTCw6m21raP5Wy+/fZbaUy8W7dunRh8r6+vN5lM0vjq3LlzK2S+1CWG8waLiFJTSaWif/7T2YNFLQffw8LCjh071s4/LCsrmzVrlnT9xGQytWdQ+77g1MEiopgY8ven3budPViSQ4cONR98Ly8vt7/8hQsXpEFtjUaza9cueYqUh7MHq6CAevSgiIj7I1hEVFlZ2XjvTXBw8P7GV3KX5OTknj17Ahg8eLAzfFPDsZw9WET09783DC7cF8GSnDp1auTIkY333tx92dtsNru5uUnXiEpKShQpUqj7IFh1dTR69H0WLPrt3htp8F2r1e7YsUNqr6qqio2NlTJnNBqd/zsmneN0wbpxg8xmunq1RWN2NpnNyj8RtBOysrIef/zxxsH3jIyMxq8/fP3110pXJ5DTBevsWVqxgn75pUVjcTGtWEGnTilUU9fU1tauWrVKGnyXdmChoaFnzpxRui6xnC5YX39NAP34Y4vG3FwC6LPPlCnJIXJyciIjI5cvXx4dHe2Ez0lzODcwWQQHB1utVpWCv0cgL/4BAfn8flIFDhYTxEkPhbGx8PZumlT28RasE5w0WJMnIyCgabK42PbX1ZiTc9JgxcXh0UebJvPy8P77ylXDOo77WEwIDhYTgoPFhHC6YAUFYcEC2DwSUaPBggUYPFihmljH2fsBAcY6zen2WOx/AweLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQ/w+VNPGeIa/g/QAAAOZ6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAADihuYGRnyADSzEyMbA4aIAYLmwNYgBkuwA6hmdkdLEA0IzMbQwKQwcjMYKDBCGKIAQlJkGmOJfm5fqU5ORoyDNrcDIwKjEwZTIysCUzMCcwsGUxAfSysCQzsDCKMrIxMzCys4lkg3XAnrZ7GcWBpjet+EGfNGuv903IK94HYT8TZ7KW/t4HFz2XfsN+X9HQviM1/e7L9VYal9iD2/8nr95WYzQazXz/3cGDtZwCr/yMTfEDf28gOxBYDAIYtLqeTF+ZNAAABMnpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1STUsDQQy976/IWdghX/N18LDtFhHpFmztVUQQ68GT/x+TyjotLia7kLy8zCSP4Tf9eH59fzl9Dh24PY4Ppy/4NR47w/Gfr9YKR0HEbgsewGpzdz/B+jCsZmS9e5oOeyjm6H7NHA677YwQTNBzIFGqCXoMOZOKAAY8W+tlWJ/rIoTqEUvMKS0wxZgYIktBhp4CRlVaIqoRKaSKuaKfSMSIcYEYbUoKFCOxWMClYikLvOTbYBDlysmJxNHU+kvMdrPY1tXO9I6ITIUXiAVuoJfAtSRVq1NWossRYTvs97fMc8NmGq8E/pF8tZvGJrk7N13VfmnieZqaROpQE8KB2PYlS3Pbymqtt5wvKpeTXc7h+fxoLO6+AezSf0HBgSONAAAA/XpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF3NO0/DMBAH8K/C2CLndA8/4mRCCIkJVQKxVB1SKwOisasSmPrhuXSqM9n3/91jz/x4eEuU0uZ5m/f59UAP100jwLH11iBQsETO9A0DiWXTIIRAVkQj/YoQ2iVkccF70yM4lha1kQCd1YmewEcMcekiYkTdJroskl8ih0ztrYucIzYE3EaMt/V6MLJfItJna4a5TLtLOXcIUzl9lPlzOI05jUCa/PwezyV9jzO8v2g55r+vS8nTmGfIQ0d3/rTT8t5dxzVzxWQ7qV3Wbmu3a3e1u8rbztfs1+Oh9rDy6z/ft4ZwbH8ngwAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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jh0DAG1tbeVjx8vLy01MTLp06cK1XLhwAQCGDh1a1y1KCUsikdjY2ADASrl9m+zsbPw+cY/8SxBClJWV4ZdfJ0+e5BrxinXIkCHEzTWIH3+8iHerRSIR14irL1N1iBs3bgSAjz766L///S/XmJycjF/RENm4xnmmDAwMuJZTp04BwFdffVXXLcqeK1ToEI8fP47H8eLFCyX7r8GePXvwHCk/XWnImQ6ZTIZPK3l6enKNnENUPvBQIZcvX9bS0uLxeP/+97+5xry8PLxv7uHhQcTK69evsUvlWnAoztSpU+u6hUDuBoXnRbFDdHNzI+gQuenqxIkTXKNGnel49OgRjnaSfy67du0an8/X0dF59uwZWXMvXrzAsXHyHkMmk40YMQLvxRQXFxMx9OTJEwDo1KkT14IXJF5eXnXdQkBYClepnEPcu3ev8iYw+/btw3sc3HTFnenQnCBp7Jjatm2bJ/eIGBAQID+jEKGkpASnIhsyZIh8GMLy5csB4OOPPyaYCCQ5ORkAevbsybXgoJJ6EiSRSWMUHx+PHaL8KjUiIoKgQ6yoqMDyjYiI4BpxqkgXFxfl+ycF5xBnzZpF1dDMmTMBwMrKSv7dcHR0NI/HEwgEMTExBG0lJCQAgKOjI9eydu3aGm9fakAsa7LC86Ljxo0j5RD3798PAF26dOF+O4uKirAjuHr1qpKdk4VziOfPn6dkYufOnQAgFArv3LnDNaampuKkRZtJH3rEyWrk1xv47VlQUFBdtxATlkKHmJWVhR3ivn37lOz/5s2bbm5u8m/mce2TerZS1AiOiGzbtm1+fr6SXUml0jdv3qSkpCQmJp4/fz4iImLJkiXa2toAcOzYMe6yoqIivGU9duxY4hs9p0+frhEzgp92Q0ND67qFZJ53hds2eDelX79+ZP+13JmOy5cvE+yWFDKZzNnZGQBmz55d+2+Li4szMjIePHgQFxd35syZgwcPhoaGBgQEeHt7e3h4uLu7Ozs7d+vWzdzcHD/w1sbExKTG80pmZqaTk1OPHj3EYjHxfw7+IU6aNIlrweHz9SygCRcQULhtc+jQIeIZ94KDg7FeyXZLkIcPH+rp6fF4vP79+w8cOLBnz57t2rXjYpveH11dXVNTU1tbW0dHx+HDh0+aNAkHHLds2bLG8ry0tJT4DjsGPzbJb6NMnjwZAI4ePVrXLYRr6axfv/7cuXPJycnr16/H+5YA4OHhQdaKRCLBTyV4r0EzsbOzc3JySk1NrX36sq46QrURCoUKJ60pU6ZERER4enpevnyZiyTW0dHBgdrEkUgkACCf0xu31Hcskbi6r1+/jh2i/LqSLPiRXqPOdNQGn+kAgC1btvzxxx/37t1LT08ncgAGIYRzuAPAzp07iXRYP3g5u2zZMq5l8ODBAPD777/XdQt5YaG/zov26tWLRhY5iUSCHwjIPlETZ+nSpQAwatQoSv3jBbVqIsL9/f0BYM2aNVyLk5MTAMTHx9d1C5VqpRs2bLhw4QJ2iKtWrXqfW+qqi1m7dubbt28lEomjoyMuUKuZ5Obm7tq1CwDwj4QGo0aNmjhx4okTJ2bPni3vEGlQ2/G90xVSEZa+vv7evXtdXV3Xrl1rYWHRpk2bGsVzalTUqaeWjkJWr16N3+drLJs3by4qKnJ3d6dakSUsLOzatWtXr14NDw//5z//Sc9QcXEx/H2NVbulBrTqK7u4uEyZMiUqKgrH8L+Td65n5WtnmpmZ8fmaWyY9NzcXb2DiKDF6GBsbh4eHjxkzxtfXd8iQIfIHtsiiKTMWpqKiori4uH379r17965RPKdGRZ2G1tLRcHDi+y+++EIFie9Hjx799ddfR0ZGenl5Xbp0iZJDxPOTvIzeOWNRWbwjhJ48eaKlpaWtrU38lb6Gk5ubi8/03bhxQzUWs7KyTExMdHRaHj78iJIJnLdN/g0V3vqv5+GMlkNZs2ZNRUXFzJkzuZwTzYSQkJDCwsLhw4c7ODioxqKJicnu3cc7dMieM6erXCVuktRwfGVlZeXl5dra2lheiqEh8LS0NDxdqb6Ei3pRY5D0hAkIALm6IhoB4Th/HfemDieHMjQ0rOcWKsKaPn061PGarGmzZcuLLl3G1hMJTo/sbNSmDQJANE5IvXz58v79+1zY4KtXrwDAwsKinlvIC6vZTlf5+cjQEPH5KDFR2YiGxnH8OAJABgaIdEB4TVJTUwFA/mxFbcivsYKCgioqKqZNm4bDiJsP27aBSASuruDoaKiWAUycCOPHQ2EhzJwJ5ErIK6D2Q6ICyGr5+fPnOjo6AoGgcUmVPlwKCpCREQJA6s17zzlECiekqrl06RK8K7SEsLBwmM6MGTPIdqv5rFlTtXZWOxERtBzi06dPw8PD3d3ddXV1LS0tlyxZUs/FJIWVnp6up6enpaX15MkTgt1qPgUFqHVrBIA05EjH+PEIALm5EXhCzMvLO3nypKenJ04AgeHz+e98QCEprCVLlvTt27cZVv8ODEQASHOOdHAOsXEB4TIZunkThYS86tevn0Ag4PRkZmY2bdq0Y8eOvU+GLWLCysjIaN++vaWlpYrz+qmdoiJkYoIAkEYd6Th2DFlZoQaFbWdlochI5OWFzM0RADI0rBQIdAQCQZ8+fQICAm7fvt2g4HJiwvLz8zM3N583bx6pDj8U1q1DAEgDj3RIJOibb5DcYTk0Zw7CuVpCQqpaSkvRlSvIzw/16oV4vOriCR07ou+/R2fPxjU6MpGMsDIyMjp06GBpadncVldicdV0pZFHOpC+Pvr4Y5SZWfWxQwd04wa6exd9+SW6exe9eoVataoWU4sW6Msv0fbtKDWVgGky0Q1hYWFlZWVfffUVLpDUfDhwALKzoX9/cHVV91DqYPx48PGBiIiqj+Xl8OQJiERw/z707Qt2dpCVBYMHg7s7DBkCddSFaRTKa/PNmzfW1tZt27ZNSUlRvrcPi/Jy9PPPSK0VsetDXx+lpaH27RGO4u7QoSoH/aJFVRcQyu2gAAI779u3b5dKpSNHjsRFrZs2Dx4AjwfbtlV9zMmBWbNArRWx34G+PmzdCnPnglRa3bhlS9U3f9VrIo+ywsrKyoqIiODxePhEYXOgVSsIDoaMDHWP470ZNw46d4aQEJUaVVZYYWFhUqnU3d0d5xZvDrRqBd99BwsWqHscDWHHDggJgcJC1VlUSlhZWVlHjx7l8Xg4RVbzYelSuH0bfvtN3eN4bzp3hjlzID9fdRaVeiqUyWRffPFFeXl585muMPr6sG0beHtXVTDUBBISoEsXMDGpbsnPBx8f4M70L1sG+vrQtq2qBtS4NX9ycjIXAc2lQWsO3L+P2rev+t7dHXl7Iy0ttQ4IIYSQVIosLVGLFkguCylavhxpa6MdO9QzpPpmrNTU1AMHDgiFQm9v79LS0l27duno6CxYsODQoUNCoTA3Nzc5OdnPz0+TT2JRZft2sLdX9yAAAOCnn+DVK+jdGzjPkZcHYWFQXg40zzXWSz2ii4iIEIvFv/7668aNG6dNm/b8+fPExMSVK1dmZmZ6e3vjFpX9BmgI8jMWQmjNmjpnLJWVqyorQx06IAB06lR1o78/AkDDh6toDLWpb7KZNGnSgwcPrl+/PmjQIKlUamxsbGNjc//+/YKCAhMTE2dn5xeUDoVoMHZ2cO9e9cflyyEzEzZtgufP/3bZb79B374qWiz/9BO8eAHdu8Po0VUtBQUQFgYAsGKFKgagmPp1d//+/c2bNx84cODu3buLFy/esGHDhAkTEEKVlZVqKamqgaxYUTP4qbISOTvXLGVIibIyZGWFAJB87txVqxAAUseRjmrqE9a9e/cQQmlpaT4+Prjl999/J57f8kMnOxuZmiIAJJ+pX2EpQxqEhyMA1L074p6gRKKqIGn15r2vT1inT5/29fX18fF59uxZVFTUwoUL165dSyp1eFMiOroqOkC+gJDCUoZkKStD1tYIAEVGVjeuXo0A0ODBtIy+J7SO2Dc3ap8XVVjKkCx791aVoOamKw0504GYsEjBOUT5ErMKSxmSoqwMdeyIAP4Wyqc5ZzqYsIhx4kSdDrFnz7L8fFHdtzaG/ftrTldFRcjYWFPOdDBhkaS2Q6yoQB4eT1u3tvmWqEesrKyqDiyftjgoSIOCpJmwSKIwgUJqamrtyk3Kc/8+WrAAcUV0uCDpK1cIGmk8TFiEwQ7RwAClp1cXkd+0aRMAWFhY5FF7RFy/HgEgzcl7z4RFnhkzih0c1g8dOpTbQ1ZYypAgYnHVTHnp0rsvVg1MWORRWFJPYSlDUmzYgACQRuW9Z8KigsKSegQrN8lTWlq106FRee+ZsGhRu6ReRUWFg4ODhYUF8ZodSUnIz49sl8rChEULhSX1nj17RmT9Pno06twZlZRUffT0RMHByvdKkmYao6cCTExMQkNDAWDRokXp6em40crKqq5KcQ2lsBCCg4n0RAUmLIpMnjx53LhxhYWF+GGQbOeLF8POnfD4MdleiUGxgAADAHbt2hUbG3vp0qUDBw7gKs7vQ2kp5OeDSKTgKz+/6nysuTn4+sKcOXDpEsXxNxomLLqYmJiEhIR88803ixYtsrGxEQqFuOZU7YJC+Bt9/aSHD/VKSurrk5v7fHzg4MHqvAwaBRMWdaZOnXry5MmYmJgBAwa88+Lu3WUlJaCrC4aGYGQEhoY1v4yM4JNPqlZXOjqwcydMn66JZ/yZsFTB7t27k5OT586di2sH1a4pxLUYGQlatWpASoVBg2DAADh1Cnr1ovkPaDhMWKrAzMzMzMwsLS2NRudbt8K5czQ6Vgoe8acVhgp48wZatoSWLas/6umBoXrSyyuGCYtBBbaPxaACExaDCkxYDCowYTGowITFoAITFoMKTFgMKjBhMajAhMWgAhMWgwpMWAwqMGExqMCExaACExaDCkxYDCowYTGowITFoAITFoMKTFgMKjBhMajAhMWgAhMWgwpMWAwqMGExqMCExaACExaDCkxYDCowYTGowITFoAITFoMKTFgMKjBhMajAhMWgAhMWgwr/BzVHddlOW4wgAAABonpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQABhIBYF4gZGNgYNIM3MwsaQAaKZkQRgdAKQZmJCUgBjOOBhQDXDBNghpjHDaQUtIM0IUgFRCZNgMNBgBMmApCU5gIRjSX6uX2lOjoYMgzZMUh2bJDcDkwozA48KC4OAFhMTEw8/I48GEyOvAhOzBhMTnwIzCwMzqwIrmwYTG58CO0cGEzt3Agd/AidXAid/BhMXdwYTL58GE7+ACjOLIAOXEIMIMxsjLx8TAw8rMxMfGysbOzcXJz+H+DuQ/fBgzFn31m5i+4p9IM7W9wr2NUzWB0Bsfs7f9vev54PFDWQsHR5KFNqD2CH28g5Td0o4gNgTejsdrG9dswOxNSe2O0TLd+0HsR3k2g6U+fwFqz+eq3Ng/U4WsPrlzxUPZN5nAasxuN1wwEpXFsxOL5h94GOfElj97+d++x6pXQOLL+ficOB4bwJ2z9d1Rg6CN/eCxTe3vds/SSsYrP7vkt37kiuyweyCxCQHichYsF3hutMOzJ79C6xeDACAS2RyKB5KUwAAAhh6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VLuOGzEM7P0VqgNYEB+iyMKFH4dLkNgGYt+1QXBFckVS5f8Rchf2yogQ7RYSdzgiOeTqj19v395+fn//vV2lWF8Pn9//pPvCw8rt5T+vmaVXKqWsjik2aff0/OmU9tft7mbZn19O10sCSwju488jdns9H28WSPtUMgujY9clExpUc1OZ1uKKE1BQpWpaYzbEgm0AJAdCNgEEDkYk58YBkB2IWc0B1T8bQ1MZ4OqEY1VkDyOTCg0vFsdxRtNKEDmBCfEA12YcCbeS1pBLs6KjANWBa85gAEaRU1O1UYQWQMxijCVCLI2UaACEMiMrWpOpOhWsDKMEmG8vKK22gAqQNRhBcYZqbTwBPG+zISml06RJwRKkkKVRkVHyLt7JUwGsUkvErNiKjjoD6oRsBoYanKwE2iuU9h+fN5Bet182fPcKuRzsavIku8uroiP+NgdNImxRVb9Iy0gH0PQhUa7UwJpvuGqVXod03F4uG8a7g7mDV06MCtUIx2rTxv+4kN1cnk6HhwGaR2p3Ph2WkYqHlsGZDLTMx2RpyxhgWGhpd4gzL22N7sNL9zq313xpUnCKurRiHKVrOHSG1nUVBEXteoedw7oOiTNg1wccrNLJzcEL0Ek5W6STjKe7sJMmkupvjlDddakERu08fb0bpsr5+1D9vtZxvv36fL/6C1/CAtIrkOwoAAABsXpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWSP4/bMAzFv0rH5Oqo4h9RZIIMRYCOQYaiS5ohNTwUvdiHa9rpPnxpZzmxHgzo/Ujq8UFnsqdLD71/q0/H/QG/+++4Px8/XuiwPxxWhzPj02XthNY9fHhbbTiJUaZuA8lK1drtXMooVbpNTgJkFRZNS+XauURsxosEBmCdN1Y1F9BHMXaYciUlFyDpXO1NiqyiLuVEImzkmoFplm6XEwsjwnwfoUGxpQ4z5lJnX1LpUSeoUrTziwzRPe8wARYps6JYs81K9bnLOqzk7nackISXQbla1kUxLbMFBnODc5caUplNMVSVWWF1074M+Q5+FaVCFTtKXLR4gW8t8DCN5PZxCaCgPYIrYNknr7vrfbqdXqeXbU6///x4mfpfwz19OflxGP/+fJ3G2zDe03jdwjv++eTH9xxkiy3HhvOWWkwBc4s54NLiErC0WAKuLa4Ba4s1YGuxBQw5BJNjAaTb9Px1un+7Pg9jPzyktgdiT0gTYpwQ8oQYKIREIUYKIVOIoYK0LwLkvycRgoWYLIRoIWT79g81XjCrGPEvWwAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
        "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
        "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
+       "      <td>0</td>\n",
        "      <td>1</td>\n",
-       "      <td>15.727015</td>\n",
+       "      <td>0.611823</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>B</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>12.789242</td>\n",
+       "      <td>28.754427</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
        "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
-       "      <td>0</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>14.653939</td>\n",
+       "      <td>15.727015</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1251,45 +1251,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>898</td>\n",
-       "      <td>103</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>1070</td>\n",
+       "      <td>131</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>688</td>\n",
-       "      <td>174</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>858</td>\n",
+       "      <td>242</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>550</td>\n",
-       "      <td>56</td>\n",
+       "      <td>743</td>\n",
+       "      <td>664</td>\n",
+       "      <td>79</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>280</td>\n",
-       "      <td>26</td>\n",
+       "      <td>355</td>\n",
+       "      <td>328</td>\n",
+       "      <td>27</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>32</td>\n",
+       "      <td>47</td>\n",
+       "      <td>37</td>\n",
        "      <td>10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>39</td>\n",
-       "      <td>3</td>\n",
+       "      <td>59</td>\n",
+       "      <td>53</td>\n",
+       "      <td>6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2487</td>\n",
-       "      <td>372</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>3010</td>\n",
+       "      <td>495</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1297,13 +1297,13 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_syba  rejected_syba\n",
-       "AP             1001            898            103\n",
-       "FP              862            688            174\n",
-       "SE              606            550             56\n",
-       "GA              306            280             26\n",
-       "B1               42             32             10\n",
-       "B2               42             39              3\n",
-       "Total          2859           2487            372"
+       "AP             1201           1070            131\n",
+       "FP             1100            858            242\n",
+       "SE              743            664             79\n",
+       "GA              355            328             27\n",
+       "B1               47             37             10\n",
+       "B2               59             53              6\n",
+       "Total          3505           3010            495"
       ]
      },
      "execution_count": 18,
@@ -1373,72 +1373,72 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_0bf34\">\n",
+       "<table id=\"T_52018\">\n",
        "  <caption>synthesizability filters</caption>\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_0bf34_level0_col0\" class=\"col_heading level0 col0\" >pre-filtered</th>\n",
-       "      <th id=\"T_0bf34_level0_col1\" class=\"col_heading level0 col1\" >accepted by 2</th>\n",
-       "      <th id=\"T_0bf34_level0_col2\" class=\"col_heading level0 col2\" >accepted by 1</th>\n",
-       "      <th id=\"T_0bf34_level0_col3\" class=\"col_heading level0 col3\" >accepted by 0</th>\n",
+       "      <th id=\"T_52018_level0_col0\" class=\"col_heading level0 col0\" >pre-filtered</th>\n",
+       "      <th id=\"T_52018_level0_col1\" class=\"col_heading level0 col1\" >accepted by 2</th>\n",
+       "      <th id=\"T_52018_level0_col2\" class=\"col_heading level0 col2\" >accepted by 1</th>\n",
+       "      <th id=\"T_52018_level0_col3\" class=\"col_heading level0 col3\" >accepted by 0</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_0bf34_level0_row0\" class=\"row_heading level0 row0\" >AP</th>\n",
-       "      <td id=\"T_0bf34_row0_col0\" class=\"data row0 col0\" >1001</td>\n",
-       "      <td id=\"T_0bf34_row0_col1\" class=\"data row0 col1\" >482</td>\n",
-       "      <td id=\"T_0bf34_row0_col2\" class=\"data row0 col2\" >430</td>\n",
-       "      <td id=\"T_0bf34_row0_col3\" class=\"data row0 col3\" >89</td>\n",
+       "      <th id=\"T_52018_level0_row0\" class=\"row_heading level0 row0\" >AP</th>\n",
+       "      <td id=\"T_52018_row0_col0\" class=\"data row0 col0\" >1201</td>\n",
+       "      <td id=\"T_52018_row0_col1\" class=\"data row0 col1\" >505</td>\n",
+       "      <td id=\"T_52018_row0_col2\" class=\"data row0 col2\" >580</td>\n",
+       "      <td id=\"T_52018_row0_col3\" class=\"data row0 col3\" >116</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_0bf34_level0_row1\" class=\"row_heading level0 row1\" >FP</th>\n",
-       "      <td id=\"T_0bf34_row1_col0\" class=\"data row1 col0\" >862</td>\n",
-       "      <td id=\"T_0bf34_row1_col1\" class=\"data row1 col1\" >376</td>\n",
-       "      <td id=\"T_0bf34_row1_col2\" class=\"data row1 col2\" >399</td>\n",
-       "      <td id=\"T_0bf34_row1_col3\" class=\"data row1 col3\" >87</td>\n",
+       "      <th id=\"T_52018_level0_row1\" class=\"row_heading level0 row1\" >FP</th>\n",
+       "      <td id=\"T_52018_row1_col0\" class=\"data row1 col0\" >1100</td>\n",
+       "      <td id=\"T_52018_row1_col1\" class=\"data row1 col1\" >426</td>\n",
+       "      <td id=\"T_52018_row1_col2\" class=\"data row1 col2\" >533</td>\n",
+       "      <td id=\"T_52018_row1_col3\" class=\"data row1 col3\" >141</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_0bf34_level0_row2\" class=\"row_heading level0 row2\" >SE</th>\n",
-       "      <td id=\"T_0bf34_row2_col0\" class=\"data row2 col0\" >606</td>\n",
-       "      <td id=\"T_0bf34_row2_col1\" class=\"data row2 col1\" >322</td>\n",
-       "      <td id=\"T_0bf34_row2_col2\" class=\"data row2 col2\" >265</td>\n",
-       "      <td id=\"T_0bf34_row2_col3\" class=\"data row2 col3\" >19</td>\n",
+       "      <th id=\"T_52018_level0_row2\" class=\"row_heading level0 row2\" >SE</th>\n",
+       "      <td id=\"T_52018_row2_col0\" class=\"data row2 col0\" >743</td>\n",
+       "      <td id=\"T_52018_row2_col1\" class=\"data row2 col1\" >354</td>\n",
+       "      <td id=\"T_52018_row2_col2\" class=\"data row2 col2\" >355</td>\n",
+       "      <td id=\"T_52018_row2_col3\" class=\"data row2 col3\" >34</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_0bf34_level0_row3\" class=\"row_heading level0 row3\" >GA</th>\n",
-       "      <td id=\"T_0bf34_row3_col0\" class=\"data row3 col0\" >306</td>\n",
-       "      <td id=\"T_0bf34_row3_col1\" class=\"data row3 col1\" >243</td>\n",
-       "      <td id=\"T_0bf34_row3_col2\" class=\"data row3 col2\" >56</td>\n",
-       "      <td id=\"T_0bf34_row3_col3\" class=\"data row3 col3\" >7</td>\n",
+       "      <th id=\"T_52018_level0_row3\" class=\"row_heading level0 row3\" >GA</th>\n",
+       "      <td id=\"T_52018_row3_col0\" class=\"data row3 col0\" >355</td>\n",
+       "      <td id=\"T_52018_row3_col1\" class=\"data row3 col1\" >267</td>\n",
+       "      <td id=\"T_52018_row3_col2\" class=\"data row3 col2\" >80</td>\n",
+       "      <td id=\"T_52018_row3_col3\" class=\"data row3 col3\" >8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_0bf34_level0_row4\" class=\"row_heading level0 row4\" >B1</th>\n",
-       "      <td id=\"T_0bf34_row4_col0\" class=\"data row4 col0\" >42</td>\n",
-       "      <td id=\"T_0bf34_row4_col1\" class=\"data row4 col1\" >28</td>\n",
-       "      <td id=\"T_0bf34_row4_col2\" class=\"data row4 col2\" >13</td>\n",
-       "      <td id=\"T_0bf34_row4_col3\" class=\"data row4 col3\" >1</td>\n",
+       "      <th id=\"T_52018_level0_row4\" class=\"row_heading level0 row4\" >B1</th>\n",
+       "      <td id=\"T_52018_row4_col0\" class=\"data row4 col0\" >47</td>\n",
+       "      <td id=\"T_52018_row4_col1\" class=\"data row4 col1\" >34</td>\n",
+       "      <td id=\"T_52018_row4_col2\" class=\"data row4 col2\" >11</td>\n",
+       "      <td id=\"T_52018_row4_col3\" class=\"data row4 col3\" >2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_0bf34_level0_row5\" class=\"row_heading level0 row5\" >B2</th>\n",
-       "      <td id=\"T_0bf34_row5_col0\" class=\"data row5 col0\" >42</td>\n",
-       "      <td id=\"T_0bf34_row5_col1\" class=\"data row5 col1\" >36</td>\n",
-       "      <td id=\"T_0bf34_row5_col2\" class=\"data row5 col2\" >6</td>\n",
-       "      <td id=\"T_0bf34_row5_col3\" class=\"data row5 col3\" >0</td>\n",
+       "      <th id=\"T_52018_level0_row5\" class=\"row_heading level0 row5\" >B2</th>\n",
+       "      <td id=\"T_52018_row5_col0\" class=\"data row5 col0\" >59</td>\n",
+       "      <td id=\"T_52018_row5_col1\" class=\"data row5 col1\" >40</td>\n",
+       "      <td id=\"T_52018_row5_col2\" class=\"data row5 col2\" >19</td>\n",
+       "      <td id=\"T_52018_row5_col3\" class=\"data row5 col3\" >0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_0bf34_level0_row6\" class=\"row_heading level0 row6\" >Total</th>\n",
-       "      <td id=\"T_0bf34_row6_col0\" class=\"data row6 col0\" >2859</td>\n",
-       "      <td id=\"T_0bf34_row6_col1\" class=\"data row6 col1\" >1487</td>\n",
-       "      <td id=\"T_0bf34_row6_col2\" class=\"data row6 col2\" >1169</td>\n",
-       "      <td id=\"T_0bf34_row6_col3\" class=\"data row6 col3\" >203</td>\n",
+       "      <th id=\"T_52018_level0_row6\" class=\"row_heading level0 row6\" >Total</th>\n",
+       "      <td id=\"T_52018_row6_col0\" class=\"data row6 col0\" >3505</td>\n",
+       "      <td id=\"T_52018_row6_col1\" class=\"data row6 col1\" >1626</td>\n",
+       "      <td id=\"T_52018_row6_col2\" class=\"data row6 col2\" >1578</td>\n",
+       "      <td id=\"T_52018_row6_col3\" class=\"data row6 col3\" >301</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x1880fa940>"
+       "<pandas.io.formats.style.Styler at 0x7fdc35f3fe20>"
       ]
      },
      "execution_count": 20,
@@ -1472,9 +1472,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
-       "<Figure size 2000x2200 with 5 Axes>"
+       "<Figure size 2000x2200 with 6 Axes>"
       ]
      },
      "metadata": {},
@@ -1504,7 +1504,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.8.19"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/custom_kinfraglib/1_4_custom_filters_pairwise_retrosynthesizability.ipynb b/notebooks/custom_kinfraglib/1_4_custom_filters_pairwise_retrosynthesizability.ipynb
index 820f0771..2dcace7f 100644
--- a/notebooks/custom_kinfraglib/1_4_custom_filters_pairwise_retrosynthesizability.ipynb
+++ b/notebooks/custom_kinfraglib/1_4_custom_filters_pairwise_retrosynthesizability.ipynb
@@ -21,7 +21,9 @@
    "id": "c98ff012-da23-461c-80a6-a06063814536",
    "metadata": {},
    "source": [
-    "This notebook is filtering the fragments for pairwise retrosynthesizability using the web API from [ASKCOS](https://askcos.mit.edu/).\n",
+    "This notebook is filtering the fragments for pairwise retrosynthesizability using the web API from [ASKCOS](https://askcos.mit.edu/) ([Documenation](https://askcos-docs.mit.edu/)).\n",
+    "\n",
+    "**Note:** The ASKCOS results for the given KinFragLib data are already precomputed, thus for that ASKCOS does not need to be installed to successfully run this notebook. However, if the notebook is executed on new data, the ASKCOS needs to be installed beforehand. To install ASKCOS, please follow the installation given at [https://askcos-docs.mit.edu/](https://askcos-docs.mit.edu/guide/1-Introduction/1.1-Introduction.html). \n",
     "\n",
     "We build all valid fragment pairs and look if a retrosynthetic route can be found to create this pair from the fragments given. To reduce the number of requests we, first apply all filters from the previous notebooks."
    ]
@@ -98,7 +100,15 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "01c3d56e-ec28-4e3b-8ccd-f9330bbb748c",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:14.817029Z",
+     "iopub.status.busy": "2024-05-13T08:41:14.816309Z",
+     "iopub.status.idle": "2024-05-13T08:41:16.914752Z",
+     "shell.execute_reply": "2024-05-13T08:41:16.914176Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "import warnings\n",
@@ -113,7 +123,15 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "0e733735-05c5-45cf-99e1-05be23b7b5ad",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:16.917559Z",
+     "iopub.status.busy": "2024-05-13T08:41:16.917301Z",
+     "iopub.status.idle": "2024-05-13T08:41:16.936878Z",
+     "shell.execute_reply": "2024-05-13T08:41:16.936297Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "%load_ext autoreload\n",
@@ -124,7 +142,15 @@
    "cell_type": "code",
    "execution_count": 3,
    "id": "26f66b6d-5405-4e07-8999-5d187a819d4e",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:16.939209Z",
+     "iopub.status.busy": "2024-05-13T08:41:16.938993Z",
+     "iopub.status.idle": "2024-05-13T08:41:16.958352Z",
+     "shell.execute_reply": "2024-05-13T08:41:16.957744Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "# Needed to display ROMol images in DataFrames\n",
@@ -143,7 +169,15 @@
    "cell_type": "code",
    "execution_count": 4,
    "id": "f9aca1d4-c22d-4c73-839c-9a9000f81fcd",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:16.960634Z",
+     "iopub.status.busy": "2024-05-13T08:41:16.960441Z",
+     "iopub.status.idle": "2024-05-13T08:41:16.980834Z",
+     "shell.execute_reply": "2024-05-13T08:41:16.980252Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "# Path to data\n",
@@ -167,7 +201,15 @@
    "cell_type": "code",
    "execution_count": 5,
    "id": "62f4cf77-0b8b-4bef-903b-924e79ed8cc7",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:16.983159Z",
+     "iopub.status.busy": "2024-05-13T08:41:16.982944Z",
+     "iopub.status.idle": "2024-05-13T08:41:21.522406Z",
+     "shell.execute_reply": "2024-05-13T08:41:21.521732Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "fragment_library = utils.read_fragment_library(PATH_DATA / \"fragment_library\")"
@@ -177,7 +219,15 @@
    "cell_type": "code",
    "execution_count": 6,
    "id": "79aecd8e-fbf2-4a60-a656-11a6f7e7adba",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:21.524594Z",
+     "iopub.status.busy": "2024-05-13T08:41:21.524392Z",
+     "iopub.status.idle": "2024-05-13T08:41:21.542094Z",
+     "shell.execute_reply": "2024-05-13T08:41:21.541542Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -198,12 +248,20 @@
    "cell_type": "code",
    "execution_count": 7,
    "id": "ca64d645-2bda-426e-9d64-ec820b9356a4",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:21.544064Z",
+     "iopub.status.busy": "2024-05-13T08:41:21.543901Z",
+     "iopub.status.idle": "2024-05-13T08:41:21.572408Z",
+     "shell.execute_reply": "2024-05-13T08:41:21.571790Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(7486, 15)"
+       "(9505, 15)"
       ]
      },
      "execution_count": 7,
@@ -274,7 +332,15 @@
    "cell_type": "code",
    "execution_count": 8,
    "id": "31db9422-b201-4136-942a-c4654f82b3a6",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:21.574631Z",
+     "iopub.status.busy": "2024-05-13T08:41:21.574456Z",
+     "iopub.status.idle": "2024-05-13T08:41:21.730506Z",
+     "shell.execute_reply": "2024-05-13T08:41:21.729953Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "fragment_library = filters.prefilters.pre_filters(fragment_library)"
@@ -306,7 +372,15 @@
    "cell_type": "code",
    "execution_count": 9,
    "id": "76cbf696-84a9-41fa-9c3d-f6cd725245b5",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:21.733010Z",
+     "iopub.status.busy": "2024-05-13T08:41:21.732820Z",
+     "iopub.status.idle": "2024-05-13T08:41:25.772794Z",
+     "shell.execute_reply": "2024-05-13T08:41:25.772157Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "fragment_library, _ = filters.unwanted_substructures.get_pains(fragment_library)"
@@ -325,7 +399,15 @@
    "cell_type": "code",
    "execution_count": 10,
    "id": "c2259261-f754-40b7-aa14-95c9af5e345e",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:25.774983Z",
+     "iopub.status.busy": "2024-05-13T08:41:25.774783Z",
+     "iopub.status.idle": "2024-05-13T08:41:41.951113Z",
+     "shell.execute_reply": "2024-05-13T08:41:41.950460Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -363,7 +445,15 @@
    "cell_type": "code",
    "execution_count": 11,
    "id": "e8ededec-2f36-49c5-8f4a-31d36d8383ea",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:41.953508Z",
+     "iopub.status.busy": "2024-05-13T08:41:41.953313Z",
+     "iopub.status.idle": "2024-05-13T08:41:44.873001Z",
+     "shell.execute_reply": "2024-05-13T08:41:44.872371Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "fragment_library = filters.drug_likeness.get_ro3_frags(fragment_library)"
@@ -382,7 +472,15 @@
    "cell_type": "code",
    "execution_count": 12,
    "id": "36a60b40-8fb5-4fc0-b00c-976705253af5",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:44.875792Z",
+     "iopub.status.busy": "2024-05-13T08:41:44.875600Z",
+     "iopub.status.idle": "2024-05-13T08:41:47.087585Z",
+     "shell.execute_reply": "2024-05-13T08:41:47.087024Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "fragment_library = filters.drug_likeness.get_qed(fragment_library, cutoff_val=0.492)"
@@ -415,7 +513,15 @@
    "cell_type": "code",
    "execution_count": 13,
    "id": "f6b5c7c3-a54a-4300-87fb-6ff3dbf98a94",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:47.090546Z",
+     "iopub.status.busy": "2024-05-13T08:41:47.090363Z",
+     "iopub.status.idle": "2024-05-13T08:41:52.359381Z",
+     "shell.execute_reply": "2024-05-13T08:41:52.358807Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -447,7 +553,15 @@
    "cell_type": "code",
    "execution_count": 14,
    "id": "7f9edb39-3542-4d4b-914e-f9cea422f643",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:41:52.361624Z",
+     "iopub.status.busy": "2024-05-13T08:41:52.361458Z",
+     "iopub.status.idle": "2024-05-13T08:42:34.684786Z",
+     "shell.execute_reply": "2024-05-13T08:42:34.684126Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "fragment_library = filters.synthesizability.calc_syba(fragment_library, cutoff=0)"
@@ -485,12 +599,20 @@
    "cell_type": "code",
    "execution_count": 15,
    "id": "33791673-b26c-4ce3-85d1-ea2f2f69f95a",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:42:34.687417Z",
+     "iopub.status.busy": "2024-05-13T08:42:34.687168Z",
+     "iopub.status.idle": "2024-05-13T08:42:34.721477Z",
+     "shell.execute_reply": "2024-05-13T08:42:34.720772Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(2859, 27)"
+       "(3505, 27)"
       ]
      },
      "execution_count": 15,
@@ -524,7 +646,15 @@
    "cell_type": "code",
    "execution_count": 16,
    "id": "7e6740cd-147b-4bc6-8a96-68926dfb50b8",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:42:34.723687Z",
+     "iopub.status.busy": "2024-05-13T08:42:34.723487Z",
+     "iopub.status.idle": "2024-05-13T08:42:34.767396Z",
+     "shell.execute_reply": "2024-05-13T08:42:34.766808Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -555,45 +685,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>233</td>\n",
-       "      <td>768</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>248</td>\n",
+       "      <td>953</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>174</td>\n",
-       "      <td>688</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>206</td>\n",
+       "      <td>894</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>165</td>\n",
-       "      <td>441</td>\n",
+       "      <td>743</td>\n",
+       "      <td>179</td>\n",
+       "      <td>564</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>100</td>\n",
-       "      <td>206</td>\n",
+       "      <td>355</td>\n",
+       "      <td>114</td>\n",
+       "      <td>241</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>9</td>\n",
-       "      <td>33</td>\n",
+       "      <td>47</td>\n",
+       "      <td>13</td>\n",
+       "      <td>34</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
+       "      <td>59</td>\n",
        "      <td>18</td>\n",
-       "      <td>24</td>\n",
+       "      <td>41</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>699</td>\n",
-       "      <td>2160</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>778</td>\n",
+       "      <td>2727</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -601,13 +731,13 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_filtered  rejected_filtered\n",
-       "AP             1001                233                768\n",
-       "FP              862                174                688\n",
-       "SE              606                165                441\n",
-       "GA              306                100                206\n",
-       "B1               42                  9                 33\n",
-       "B2               42                 18                 24\n",
-       "Total          2859                699               2160"
+       "AP             1201                248                953\n",
+       "FP             1100                206                894\n",
+       "SE              743                179                564\n",
+       "GA              355                114                241\n",
+       "B1               47                 13                 34\n",
+       "B2               59                 18                 41\n",
+       "Total          3505                778               2727"
       ]
      },
      "execution_count": 16,
@@ -642,7 +772,15 @@
    "cell_type": "code",
    "execution_count": 17,
    "id": "79c48c15-1328-4b56-b5f4-4e4051d37dd4",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:42:34.769780Z",
+     "iopub.status.busy": "2024-05-13T08:42:34.769535Z",
+     "iopub.status.idle": "2024-05-13T08:42:34.811079Z",
+     "shell.execute_reply": "2024-05-13T08:42:34.810523Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "columns = [\n",
@@ -686,12 +824,20 @@
    "cell_type": "code",
    "execution_count": 18,
    "id": "bfc64f6d-282f-44b7-80e4-22a219405081",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:42:34.813369Z",
+     "iopub.status.busy": "2024-05-13T08:42:34.813202Z",
+     "iopub.status.idle": "2024-05-13T08:42:34.841146Z",
+     "shell.execute_reply": "2024-05-13T08:42:34.840539Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(699, 27)"
+       "(778, 27)"
       ]
      },
      "execution_count": 18,
@@ -713,7 +859,15 @@
    "cell_type": "code",
    "execution_count": 19,
    "id": "e50df849-7063-40a8-8345-95b40531c7c6",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:42:34.843478Z",
+     "iopub.status.busy": "2024-05-13T08:42:34.843229Z",
+     "iopub.status.idle": "2024-05-13T08:42:34.923611Z",
+     "shell.execute_reply": "2024-05-13T08:42:34.923004Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -770,15 +924,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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KSkJAIKCghBCxcXFI0eOBAA7O7tz5851x2xmJmKxEJOJMjK033z5MoqI2OXi4pJC7kQw2dBEWEQBPt2nHA2jtbXVwcEBAPbs2WNtbQ0Ao0ePLi8v777lrVsRABo0CNXVabqtuBhxuQgAHTxY0P1OKYUmwnJzcwOA4uJiqjvasGFDR3r697//vaWlhRSzMhmaNAkBoLVru7znzRvk5YUA0Pz5yKBRt0ehg7DevHlDpNWGZTl6ceHChSFDhtjY2MTHx5Nr+dkztGIFqqpC9fVIfQqsoQGlpyN7ezR2LCJJzNRCB2FdvXoVAEJCQnqgL6IQzYIFCyiyv2IFAkBRUartDg5o9mxUVISU5kpNGjqsx+Lz+QAwlsR1WF1z//59AJg0aRKlvZw6BRcvdtLu7Q2DBlHaM2nQQVh5eXkA4E/KemRtPHjwAACCgoKo64LNhsBAiImB1lbqOqEcOgiL9Ijl7e0dFhamvlVLLBYXFBSw2WxKRcxgwL598OQJ7N5NXSeUY/bCEgqFT5486d27t3f3NxMCAIBAIHj8+HFeXh5RtF2Z3Nzc9vZ2X19fqss9fvABLFwI+/ZBURGl/VCIqQirqamprKysVS36NzY2lpWVadjZkpeXp1Ao/Pz8utopqi8dgx2DwVC5RCRYBpe+1YsffwQ2Gz7/XNcK9aaGqQjr5MmTw4YNI77lVSYxMXHYsGEPHz7s6kHSx0EN6umBBKuDwYPhm2/g5k1ISuqB3sjHVIRlAIWFhYcOHdq/fz8AjBo1iiyzGoTVkxELAL76Cry9YeNGEAp7pkMyMbMyRi9fvrxz5056evqlS5cEAgHRaG1tLRKJSLEvl8v5fD6DwRg3bpzKpZqamufPn9vb2w8fPpyUvrTC4cDhwzB1KvzwQ890SCbmISw+n3/kyJHr169XVFR0NLq4uISGhlpaWiYkJGRkZMTFxXW/o8LCQpFI5OnpqX62KhGuxo0bp15Jhjo+/BAWL4YDB0CtLJKpYx5DYXFx8dGjRysqKmxtbcPCwuLj43Nycl68eJGUlLR37142m52ZmdlpWYTr16+vXbv26dOnOnZkIgmWMj/9BBwOmNoGeq2YVsRasGCByssd8Z7I4/FcXV1DQ0PHjBmjEjC4XC6Px8vIyEhLS1uids7JsWPHTpw4MWzYsNjYWF0cMJ0Eq4P+/WHHDvjnP3u42+5iWsJatGiRp6encsvt27fT0tJcXV2JJXWdEhkZmZGRkZKSoi6syMjIEydOpKSk6CisrsISQig3NxcA1HMvcvm//4NPPvnrY2srMBiwbh34+IA+B5+bAMb+svIt//nPfwBAebMvwb59+wDg/v37Gp598eIFsbpBvTBGc3Nz7969mUymLnvPm5ubiRIg6nYKCwsBwM3NTftvQh5btiAA9OcOQjPDPHIszQwcODAgIEAkEqWnp6tcsrGxCQsLUygUxNplzeTk5Mjl8tGjR/fu3VvlklESLGLmX+24VvOADsICAOLE+RSVmu7aLqlgagkWFpbxIZYmp6amytWOUo2IiGCxWOnp6c3NzZqNaAhLWFj6QhNh+fj4DBs27PXr1+pfCjk5OU2cOLGtre3y5cuajXSlntbW1oKCAhaL1TMrczrAwiKBxYsXl5aWTpw4UaV91apVpaWlROkfzXRzNHz58mVVVRWXy/Xy8lK5xOfzZTKZr68vsYGixyCEZaZ1lk1FWPb29l5eXkQ5DWWIf+levXpptUAc5Ewc6qwCMVVx8eJFqVTa1eP37t0DgPHjxxt3UYMyOGKZBMHBwc7OzpWVlY8ePVK55O7u7ufn19TUpKH+sdbMvefn3O3tpePGpbm7a3/tMEHoIywmk0lUVeh0yCPimYbRUEPmTlwyRsRqy86edevWJ9pvNUGMPZFGJhcvXgQAf39/9UvEsi0XF5dOizvI5XI7OzsAePXqlcqlV69eAYCtrW27XsUVyEChUBBVIWQyWQ933X3oE7EAYOrUqXZ2dnl5ecqLIAj8/f2HDBny8uVLIvyoUFhYKBQKPTw8iFpFynQsatDrfDlSYDAYtra2ACA0wwVZtBJWr169ZsyYAQC///67+tWIiAgASE1NVb9kalOjHRAVl5vMMIGnlbBAh0mHM2fOqF/SmmD1fOZOQGzoMMejnegmrJkzZ3I4nNu3b79+/VrlEo/Hc3R0LC0tffz4scqlrsISQignJweMLSwcsYyPvb19aGioXC5X/9aZxWIRtfZU4llLS0tRURGbzR4zZozKIyUlJQ0NDa6urkSp954HC8uE0HcKPicnp729ffTo0erTs8ZKsEQiEbHj7R//+EdCQgLxVRJCSCQSaZjjNS2M/VpKPjU1NURZdpFIpHJJLBZbW1szGAzlOsRisTgzM/PKlSvqpj7//HMA2Lt3L7UevwsRn9SPrnjx4gUAxMTE9KQzBkPDiNW/f//x48e3trYSVWiUsbS0nDZtGkLo/Pnzyo1TpkwhDpJQwbivhGYNDYUFfw55nc4s6L48SyKR5Ofns1isnqljQzPoKaz58+cDwPnz59vb21UuzZkzx8LC4saNG1oPO+Xz+VKpdNSoUTY2NlQ5Sl/oKSwvLy9vb+/6+vpbt26pXHJwcAgLCwsLC6uvr9dsxLgzWOaOae3SIZF58+YVFxenpqaGhoaqXEpLS1NfG6OOcROsc+fOqXz7pB59TRnaCisyMvL7778/e/bsgQMHVGSki6rEYnFWVhYYL2I5Ozur/JdoaWlRn9o1WWgrrHHjxrm6ugoEAj6fHxAQoMsjIpHo3r17WVlZd+7cycrKsrCwcHV1HTFiBNWudkpwcPDBgweVW6qqqogKqGYBbYXFYDAiIiIOHz6cmpqqQVi1tbVZWVm3bt26devWo0ePOvZisFgshJBAILh79+6UKVN6ymv6QM/knYCYWSAOdVamurr69OnTMTExgYGBAwYMWLBgwcGDB/Py8hgMRkBAwIYNG5KTk+vq6ojN08SBchh9oW3EAoAPPvigT58+BQUFpaWlFhYWHWNckVIBRisrK39//5CQkLCwsEmTJil/qxMVFfX999+fPn360KFDFhZ0/ouiAjr/fbHZ7FmzZh0/fjwwMFB5UyGXyw0JCeHxeJMnTw4ICOiqxqSfn5+Pj09hYWFGRkZ4eHhPeU0T6CwsAPDw8HB3d6+srHRycgoKCiIik7+/v441rv72t79t37791KlTPSksa2vrmzdvDhgwQKW9X79+N2/eHGQuhd6N/WUltXzyyScAsH37dsMeLy8vBwAulyuRSEj1i/7QOXkHAGIuSkMJJM14enr6+/s3NjZeuXKFVL/oD52FVVVVVVlZyeVyfXx8DDYSFRUF+N1Qf+gsrNu3bwPApEmTulM1dPHixQwGIzU1taWlhTzX6A+dhXXnzh3o9oFKgwcPDg4ObmlpudjpsUmYLqCzsIgEKyQkpJt28GhoAAxkpkdqaEMoFDo4OFhYWDQ2NqpX6NOLmpqaQYMGsdnsmpoa9QN2MJ1C24h19+5duVweGBjYTVUBwIABA3g8nkQi6XRJKqZTaCssIsHq/jhIgEdDfaGtsIgEi6yjUIkC9NeuXXvz5g0pBmkPPYUlk8kePHjAYDCCg4NJMejo6BgWFiaTyTrdoY9Rh57Cys3NFYvF3t7e/fr1I8smHg31gp7CImuiQZm5c+fa29s7ODioF2bGqEPP1Q2kTI0q8+jRo//973/Xr19X2WOYnZ195syZTz/9VL0k7nsODSMWQogoyk1ixCouLv7hhx/UTxF7+PBhp+0YGkasiooKNzc3Ho/n4eFhbF/eX2gYse7fv//ixYu+ffsa25H3GhoKi9jnSfX5bxjN0HAopG5rfE5ODofDUW55+PAh6b3QA7oJq66urqKiwtra2tvbm3TjP5jjqd9Ggm5DIRGuAgMDqdiwdfTo0dp32b9/P+m90AO6Razs7GygLMGys7NTmcrHFY66gp4RC9ceMjq0EpZYLC4sLLSwsOjhgwUx6tBKWMY6WBCjDq2ERd35b05OTpMnT1ZfK+Hs7Dx58mQHBwfSezR3aLXmPTo6+tatW4mJiTNnzjS2L+879IlYcrmcODsuMDDQ2L5gaCSswsJCkUg0ZMgQ9aPhMD0PfYSFJxpMCvoIi5gaxcIyEeiTvAuFwuzsbF9fXzwUmgJ0iFgNDQ0RERFyuXzq1KlYVSaCGQhLIpEUFxcrt1RUVBAHlohEoqKiIjs7u/Lyci6XW1JSIpFIjOQm5h1MWlhNTU379u0LCgqaNWsW0ZKVlRUdHT158uSkpCQAyM/Pnzdv3po1a5ycnJYvXz537txHjx4Z1WXMW0xaWG1tbR4eHspb+VpaWuLi4qKjo4mPEyZMKC4uHj9+vFAoDA8PLy4uxsm7iWDSwnJyclqwYAFxkjtBeHi4SmnaO3fuJCQknDlzZs+ePcSLIcYUMGlh6YJIJPr666+HDBmyYcMGhUJhbHcwbzH7hX4zZswgfli9erVxPcEoY/YRC2OaYGFhKMHUZ95DQ0Orq6uJn5ctWzZixIjNmzd3XL137x6u3WiamLqwMGYKHgoxlICFhaEELCwMJWBhYSgBCwtDCVhYGErAwsJQAhYWhhL+H6m9I4ZkEkvCAAABlXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQABBIBYC4gZGNgcNIM3MAqMZGUA0IyM7hM+MLo6uHqYOXR6dz86Aqo7BQIMRxJAGEpIcQMKxJD/XrzQnR0OGQRsmyY1NkpuBMYOJgSWBkYmBkTmBmT2DiYWVgYUtg4mNPYGNJ4GdI4GDk4GDK4GLm4GLJ4OJh1eBl4+Bl59BgIFBhIkNqJKdmZGVg52Nh0v8GsgSKGYQbH0tuP/Uph5H9QV6TpcY8vaz35/qqF1m6NSwfcf+gnNTHJdbmjpdN9Hfv/D5fMe2W/pOpw4fst38u9dx9T5NJye7E3bBYu2OzrnqTrqb9tq99JjhOPmlutP7k857pQ4scAzX0XZqVFtk58uyyvHdag0nqUApuzP1Gx01ubWcDp4qtA/PWe4Y+0/ZyWbvKvuQoLWOtfaKThbpLfbCRXMc26SUnYJZT9tbF0xz3PVazslw5iX71uw+R9toeac7bswOuc9nOUo5SAHVJO8vuN/ouGKrgZMYAJDmbi9ulC/nAAACFHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2UTYsbMQyG7/kVPhfWSJZky4ceJsnSlpIEmmyvy9JLF5ZCYf8/leydjH3pJIGx8uj7nZE3/vv88va+PP/6/fL6Z9kFv34cv7++h/tFx53Z4T/fWmv4SQCwOwW/CfvHL9/O4XBb9qvlcHk6364BS0A1H/vM7HK7nFYLhkN4gCjFItqpRNFi0QNTzJIZBufU0ZpqcVRjIaqOcqQsE0rha3jAyEzY0QygjkokyDSiHM4eNSt7BKyxqmIvoGaaoooVABGqYC+1cGn5U2TKaSSz5YdIFRuZo6o0EqNKLiNZWkwqID07kORO1tLquJPa2wcu3knyQkh7+lJp6qlaTxYUW6qEMUnCTpqpjiRCqxQFGmqAFu6odTmj2EqtzNLz19Tbt7uq06AwWVSM1PdjBeQsqaOECSaULCpa2+v4RVwLjpYicwG+KjSB5I+lKrAPgKopAab5o7QCMgv1VSkk6ajaViY0h08hRRAvzAsg14ehGiUn3wWE03K9fk7l7lLMxVahmrXvNxFjVyKWNr8PH8TV5/F8nHTfn4T95XzcngS2X9rU7kfZFG3/BdpUy05synSDbvIzz5A3jbEdyyYkNpNuYvEj0iAJCxXqsHc0CMftshtw2CE2LA2r4mahYSPYQB4Gjw6iDHPtlnvl9v7AZh7HOA7Nz+urx+53/wCife2By3TligAAAaV6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxlkD9vGzEMxb9Kx3OgCuJfkfaUoUWnwkBHw0N68BAUsYPU6ZQPX/Ky+OTldHy/J5J6B4CH4wzzdPhx3JxnnKcZ8neefk4H7A/HzWe1YIzvl4/pa6tmagW0IjEU5gq98y506QV6FetUmKqKLqqjh261E3m6SSV0qMwEqWtrVlgqNaX0qzEX8OpmkH1caenTuFvBOJ3Cj7U70a5V6k3S3ki0MFTvBrt0CeQ2nbunm0kx3Q6Qq5uJp9tE+w7i8udMkXgDt9q7eMhiuqxoja2QxxMa7rA2AUw3KRWyKooaZmWhnGgNJc0Ws2KiM0uu7ZiLxOnG4aZMA+OWCqZMsKwH2lNFQcito/SQQVrIUVrnlAWab8rT9fKyf7u8blv9+/779TL/OV3rr29Rns7/nt8u55fT+VrPT1u44Y/7KG856BbXHEdOa04j5zXnkcuay8h1zXXkfc37yG3NbeS+5j5yaENA6wRlC7cJft9nPUY8ZAg4thhChLsUYYgR7nKEIUi4SxKGKGHM8uM/krQf50XyOYsAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -799,10 +953,40 @@
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.563803</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>28.754427</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>AP</td>\n",
        "      <td>CNc1ncnc2[nH]ccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>ACK</td>\n",
        "      <td>Ack</td>\n",
        "      <td>TK</td>\n",
@@ -811,9 +995,9 @@
        "      <td></td>\n",
        "      <td>B</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>16 16 16 16 16 16 16 16 16 16 16 5 5 8 8 8 na ...</td>\n",
+       "      <td>14 14 14 14 14 14 14 14 14 16 14 5 5 4 4 4 na ...</td>\n",
        "      <td>[26*]c1[nH]c2ncnc(NC[54*])c2c1[37*]</td>\n",
-       "      <td>8</td>\n",
+       "      <td>11</td>\n",
        "      <td>[FP, SE, FP]</td>\n",
        "      <td>[AP=FP, AP=SE, AP=FP]</td>\n",
        "      <td>1</td>\n",
@@ -827,12 +1011,12 @@
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>3</th>\n",
        "      <td>AP</td>\n",
        "      <td>c1cnc2ccnn2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAYL0lEQVR4nO3de1QTVx4H8N8QXsGwgIoYsMIGBJFaseILBXxQtRbdVom1tWqVxde6qLAefFTd6tqi7lbbLtoopfjatlSx6rpFQamu4CoWRTRqeAiKAvIGBRIIv/1jqEYe4ZU7k9j7OR6Pzkzm/qJfJnMnd+4wiAgUpWtGfBdAvZxosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwKCJosCgiaLAoImiwOmHHDjhw4IUlZ87AoUM8VaPfGPqw8Y4zMQG1GhITYcKEpiXLlsGNG3DxIq9l6SV6xOociQSWLweViu869F53g6VSqV599VWdlGIQwsKguBi2b+e7Dr3XfrAePny4ZMmS+Ph4AEDEgwcPBgUFLV26tKCgYO3atT///POIESOOHTu2/bfxj21jA1u2wCefQHY236Xot/aD9dFHHzEMk5mZCQCRkZGpqanbt29ftWqVra1tYGBgWlra+fPnHz9+HBAQQL5avRAcDB4e8Kc/PV+iUEBYGMhkkJQEDx/yV5k+Mda++ujRo7a2tu7u7k+ePAGA/fv3JyQk1NfXu7q6AoCTk1NycrJMJvvyyy/nzp3LRb16QCCAr76CkSPh2LGmJamp8NlnzzcwMwNnZ/DwAIkEJBIYNAgGDwYrK16K5Y22YJWXl+/evTsuLi4uLg4AVCpVaWlpSEiIUCjMzs6OiYkxNjZeuHChv79/QUHBb6p3OWwYBAfD6tXg5wcA8PrrEBEBCgUoFHD3LhQXg1wOcvkLL7GzAzc3cHUFV1cYNOiqs7NIIpGYmpryUj8HtF1uWL58uaWl5dSpU+Pj4+vq6tasWePj45ORkWFiYrJ3797KysrVq1cDwM2bN8PDw6OiosRiMYeV88DEBA4ehNmzAQDKymDgQFAqYfDg5pcbKiogOxtyciAnB27dArkcFAqorn6+gZPTpNzcBAAQi8UeHh4SiUQikQwaNMjDw8PJycnI6GXoqms7Yrm4uDx9+vTChQvZ2dn19fXV1dUODg4PHjyQSCRlZWUmJibsZlu3br127VpwcPDRo0fNzMw4KZt/PXvCtm2wcGErq6ytYdgwGDbs+RJEyM9vOqRlZkJmZg+BwDkvL6+goKCgoEDztRYWFgMGDHD9lZubm6urq42NDeF3QwB2QHR09BdffIGI58+f9/Pz++CDDyZPnlxcXMyuLSsrGz16tFgsXr58eUf2ZrgmT8akpOd/bWzEBQtwxYou7k2lUmVnZyckJMhkspCQEH9/f4lEwjBMs/8gqVSalpami/I51aEr7yqVChHZo1FDQ0NJSYmdnZ3mP4FCoZg2bVp1dfX69ev/pNlfeink5sLChbBvHzg7E2+rqqpKoVAoFIq7d+8qFIobN25kZWX169cvKyurZeb0mq4SGh8f7+Dg4ODgcPr0aV3tUx88eYJDhiAAzpvHQ+tqtdrJyQkAEhMTeWi+GwR//etfdRJQFxcXgUBw8eLFxMREf39/W1tbneyWd/Pnw9mz4OYGcXFgbt7+9uvWwb59cOMGPHoESiWIRB16VVsYhqmurk5KSlIqlYGBgV3fEfd0GNLGxsZly5aJxeIRI0aUlJTocM982bEDAdDSEm/d6uhLPD0R4IVfffqgjw8GBeG2bXjsGN6+nadUKjteQ35+vkAgMDU1ffz4cVfeA090PLpBqVTOmDHj2rVrI0eOjI2NfdZzNETnzsHkyaBWww8/wMyZHX3VL7/A7dtw9+7zPuDTpy9s0KfP0MePr3fqQkNAQMCpU6c+++yzVatWde89cUjnUS0sLBw6dKhYLF67dq3Od86ZvDy0tUUA3Lixu7u6fx/PnsU9e3DVKpw+vWHAAFdj41au8giFwiFDhsyePbuxsbHZHn788UcAGDhwYMtVekv3wULE9PR0iUQiFotjYmJI7J+02lr08kIAnDQJGxp0v38tFxpcXFxabl9fX29vbw8AFy9e1H01ZBAJFiIeOXJELBb379//v//9L6EmyFmwAAFwwAAsL+eu0crKytTU1CTNC2Ua1q1bBwDz58/nrqDuIRUsRNyyZYtYLHZ3d7937x65VnRu1y4EQJEIMzL4LkVDTk6OkZGRUCgsKyvju5YOIRgstVo9b948sVjs6+tbWVlJriEdSk5GU1NkGPz+e75LaWHixIkAEBkZyXchHUIwWIhYVVXl5+cnFouXLVumVquJttV9jx6hWIwAqJ+9ju+++w4AXnvtNb4L6RCywULEe/fuTZs2TSwWh4eHk26rO+rq6t5+e76jYyahE/buUyqV7GXnq1ev8l1L+4gHCxEvXLjADjz6+uuvOWiua4KCggBgyJDXS0v1t0sfGhoKAIsXL+a7kPZxESxEjIyMBABzc/NLly5x02Kn7N69m72S9Msvv/BdizZ37txhGEYkElVVVfFdSzs4ChYiLl26FAD69u374MEDzhrtiJSUFHbghkFcdRs7dqyeH/tZ3AVLpVJNmDABAIYOHfr06VPO2tWuoKDAwcEBAMLCwviupUNiYmIAYPTo0XwX0g7ugoWIpaWlLi4uABAYGKgP306oVCofHx8AmDBhQn19Pd/ldEhNTQ07oPT69et816INp8FCRLlcbmVlBQBbt27luOmWlixZAgD9+/c3rIEDy5YtA4AVXR66ygmug4WIP/30k0AgYBgmNjaW+9afOXDgANufSE1N5bGMLkhPTweAnj171tbW8l1Lm3gIFiJ++umnACASidLT03kpIC0tTSgUGsRZcKu8vLwA4PDhw3wX0iZ+goWIc+bMAQBHR8eioiKOmy4sLOzXrx8AhISEcNy0rnz11VcAMH78eL4LaRNvwaqtrR05ciQAjB07tlMjKrvZaH5+Pttj9/b25qxdnauurra0tGQYRqFQ8F1L6/icH6uwsHD48OH5+fkLFiyIjo7uwh5qa2vLf1VXV6f511bV1dUBQM+ePQUCQUZGhp2dna7fE3eCgoKio6PDw8MjIiL4rqUVPE+8lpaW5uPjU1NT8+WXXy5ZsqSysrKysrK8vLyioqKysrLl78/+wG7T2eJNTU3Nzc2rqqq8vLxSU1MJvSlu/O9//xs9erSdnd2DBw/0cAg4/zP6ffvtt3PmzBGJRNWad6F3jEgksrKysra2bvm7jY2NlZVVs+UWFhZPnjyxt7evrq6Wy+Xu7u4k3hFnPD0909PTjx49OmPGDL5raY7/YAHAoEGD7t27V1dXZ25ubvMioVDYciGrd+/eXZtUIzg4OCoqavXq1YY+p9fnn3++cuXKN9988z//+Q/ftTTHf7Dq6up69uypVCqLiop69+7NQYuXL18eNWpU79698/PzDXqyiYqKCnt7e6VSmZOT4+joyHc5L+B/YpOUlJTa2tohQ4ZwkyoAGDlypKenZ0lJycmTJ7lpkRBra+t33nmnsbHxm2++4buW5vgPVlJSEgBMeDYRMScWLlwIAFFRUVw2SkJwcDAAfP3112q1mu9aXsD/R6G3t/elS5f+/e9/v/XWW13eCSJWVFS01ZcMCAgYP3685vYVFRUODg51dXXZ2dns5AgGChHd3NwyMzNPnTo1depUvst5rp2pIkmrrq6+evWqsbExO8pAU2lpaWlpKRuOZ1ped3j2Vy2t2NraNguWtbX1jBkzDh06FB0dvXnzZt2/Ma4wDBMUFLRmzZqoqCi9ChbPR6xTp04FBAR4e3snJyc3WzVmzJiUlJSO76qt6w5WVlZ+fn7Dhw9vtv2FCxf8/PwcHBzy8vIEAkF33wl/ioqKXnnlFUTMy8tj72vVBzwfsbScYDk6Oj5+/NjKysrGxkYzJa1Gpwtz3vn6+rq7u9++ffunn34yiCmfnzx5UldX17KLY2dnN23atLi4uBUrVoSGhrq6uvbq1YuXCl/A01dJTTw9PQHg7NmzvLS+Y8cOAJg+fTovrXdKY2OjVCp1cnJqdXzf4sWLNQNnY2MzbNgwqVQaHh6+f//+q1evVldX66qShoaGEydOtDtOk89glZSUGBkZmZub19TU8FJAcXGxmZmZsbHxw4cPeSmg49iBRpaWlnK5vNmqs2fPGhsbMwwzbtw4Ly+v3/3udy0PHwzDODo6BgcHr127NioqKikpKTc3t6GN29zUarXmDcYNDQ3P7t1gl48ZMwYRnzx5oqVgPs+xjhw5IpVKJ06cmJiYyFcNUqn0yJEjW7duZSdH0E+JiYlTpkxBxOPHjzf71L5//76Xl1dxcfGGDRue9ULKy8tzcnJu3boll8tzcnJycnLkcnljY2OfPn0aGhqevdbU1PT3v/89O5WSs7OzRCJxd3e/efPm5s2bbW1tHz16tG/fvqysrH/84x+2trbFxcUxMTGhoaGWlpZFRUW9evVCRG1DB7r8M9R97BDbv/3tbzzWcPr06VdfDZ4+XaG392nn5uayH3ObN29utqq2tpbtlEyaNKmtww+rvr4+KysrMTFRJpOFh4dLpdJhw4aJWzh58uSZM2fYSfMiIyO3b99+8uRJ9nD16aefymQyRPzxxx8nTJiQkJCgvWw+gzVw4EAASElJ4bGGxkZ0dkYAbO8fih81NTWvv/46AEyfPr3lHAXsZd4BAwaUd2lanKdPn968efP48eM7d+5cvnz51KlT7969yy7PyMh47733kpOTEbGqquratWtSqfT69esKhWLcuHElJSUjR44sLCzUsnPegvXw4UMAsLS0ZKdk5tGWLQiAs2bxW0Xr5s+fDwCurq7sGCFNX3zxBQCIRKIMXU+LI5fLV69e/fbbb2dmZiJiWlpaaGjozJkz2RtC8/PzEbHds1LegsXeyxAQEMBXAc88eoTGxmhqivp2q87f//539mfv5s2bzVYlJyebmpoyDPM9sWlxTpw4oTlx/8GDB9evX9/xl/P2XSF7BavZBXFeiMUwZQqoVHDwIN+laEhKSlqzZg3DMNHR0R4eHpqrCgoKpFKpSqUKDw+fNWuWbtuNiYlhO55yudza2lomk2VlZTU2Nt6+fbtzFwt1H/WOYb+hu3btGl8FaDp+HAHQzQ314C5aRMS8vDx2YpkNGzY0W6VSqcaMGQMA/v7+2k/YuyY3N3f58uUzZ8786KOPKisr79y5s2TJksDAwE8++aRTJy38BCsrKwsAevXqpSeTZtXXo4MDAqA+zGupva/3xz/+EQAcHR2fPXJGP/ETLJlMBgBSqZSX1lu1fj1vj59ohu3rOTk5tZwrf8+ePQAgFAr1f4osfoI1e/ZsANi9ezcvrbcqJweNjFAoRH7n+NTS17t06ZIBzYrDQ7AaGxv79u0LAHfu3OG+dS38/REAeZzjU0tfr7CwkJ0VJzQ0lJfaOouHYGVkZACAvb09901r9/33CIB8zfH56NEjdtBLyzk1VSqVr68vAIwfP95QZsXhIVi7du0CgLlz53LftHZKJfbpgwDI/SwhKpWKvT974sSJLU/Y2TnrDGtWHB6C9Yc//AEAvvnmG+6bbldYGALgokVct8sOXW+1r/dsVpwrV65wXVY3cB2shoYG9jpbbm4ux013xJ07yDAoEiGXc3yyM3yYm5u37OsZ7qw4XAfrypUr0MYTY/REWBjGxiJnX2A+6+u1PISzY44B4M9//jNH1egO11/pnDt3Dji/2avj7t6F+/ehrAw0J0MIC4NvvyXSXFFRUWBgoFKpDA0N/fDDDzVXNTQ0vPvuuw8ePPD29ma/NDQwHAd50qRJAPDdd99x3G4HJScjAJqZ4e3bzxd6eOC6dUSa27lzJ7TR1wsJCQEAsVis/6NbW8VpsJRKZY8ePRiG0T6Uh0dssEaNwokTny8kFyxEPHDgQMu+3qFDhwDAxMTEEJ+dxuI0WOfPnweAwYMHc9lop7DBSkpCU1M8dKhpIdFgtXT9+nULCwsA2Lt3L3et6hqn51htnWBduXKlC3MYkePqCitWQFgYlJdz3XRZWdmMGTNqamoWL17MXoMwUPwHq7S0dNq0aW5ubnFxcVwWo93GjWBiApo3WOzdCwEBEBYGMhmcOwf5+bpvVK1Wz5kzJycnZ9SoUZ9//rnuG+ASZ8fGp0+fmpmZCQSCZgO0s7KyRowYwRYza9asgoICzkpqif0oZE+XY2PRyAhTU5s+CufPb/54ejMzHDQIpVIMD0eZDBMSsJunjn/5y18AwM7Ojh3+a9C4C1Z8fDwAjBgxouUqtVotk8ksLS0BwNraeteuXXyN09IMFiJOnozjxjUFKzsb4+IwIgKDgnDs2KZHkbf81acP+vpicHDjtm3bjx07JpfLOziF7tGjRxmGMTExOX/+PMF3yBXughUZGSkQCPz8/NoaiPjw4cN33nmHPXT5+Pjc1uzxk1dXh1lZzYOlUKCZGZqYtH7yXl6OV69ibCxGRODcuThsGFpaNsWrX796zY8FsVjs7++/aNGiiIiIEydOZGdnN/vJuXHjRo8ePcBwHqDaLu6CVVtby357/9prr12+fLmtzU6cOMFuZm5uvmnTJm5mzC4uRj8/tLdvGqOseeVowwYE6ESv8P59TEzE6OjiVatWvfnmmy4uLsbGrUyQYWFh4enpKZVK169fv2fPHnagth5+Md9lXF9ucHNzAwAjI6NFixa19dC90tLSDz/8kGEYAHjvvai2Q6gbaWnYvz8C4Cuv4OnTGB6Omg+wrqnBdeswPr7r+1epVNnZ2QkJCTKZLCQkxN/fXyKRsO9O85Dm5eWlz48w6Syur7zX1NRs2rSJnZTW3t4+Li6urS0TExPfeGOWQNAgEOCKFai7WS1e8MMP2KMHAuDo0chlt6GioiI1NfXw4cMbN26cPXt2SkqKgV5hbws/Q5PT09Of9QQDAgLa6gTV1OCmTWhqigBob49th7ArGhsxIgKNjBAA338feZqX5KXF2+1fbE9QJBKxPUGZTNbWzDjp6ThiRNNJcUAA6qQnXluLc+YgAAoEGBGhgx1SzfA8P9a9e/emTJnCHrp8fX3b6gmq1SiToUiEAGhtjTJZt24AzM9HLy8EQEtLPHGi6/uhtOA5WKzY2Ng+ffoAgFAo1NITzMnByZObDl0TJ2JWVlfaSknBvn0RAF1c8NatbpVNaaEXwULE4uLiefPmsYeud9/doGUUbmws2toiw2BiYqdbOXwYzc0RAN94g+fbvF56+hIs1pkzZ7y8RvXqVWpkhIsWtTk+uLgYo6M7t+eGBgwPbzraLVrE3QDR3yz9Chb+2hM0MUEAdHDAY8d0sM+qKpw2DQHQ2Bj/+U8d7JBql94Fi3X9Og4f3nSAkUqxOw9hzcxEd3cEwF69MClJZxVS2ulpsBCxvh537WrqCdrYdLEnePo02tggAA4ejDk5BKqk2qC/wWJp9gR9fbFTN+XLZE0fqW+99cK3NBQH9D1YLLYnCIBCIW7ahO1+Ma1UYlAQAiDDYHg46sdcSb8thhEsRCwrw0WLkGGaple4fBmrqtDfH1eufGGzjz/Gdetw7FgEQAsLJDaRItUO/p/+1SmnT8PSpXDvHggEsH8/fPABAMDx4zB9etMGgYGACDY2EB8Px45BiyfoUBwxsGABQG0tfPwx/PAD/Pwz9O8Pfn6Qmwu3bkGPHgC/Butf/4KKCjDkZ9QbPP4fhNlZQiFERMDNm01JCguDhgb4+OMXtjEzo6nimeEFiyUUNv2hRw/Ytg127YIbN3gtiHqRoQZL0/vvg7c3LF0Khvap/jLj+XmFOsEwsHs3eHrC4cN8l0L96mU4YgHAoEGwciWsXQs1NXyXQgHASxMsANi4ERgGzpzhuw4KAF6mYIlEsHMnqNV810EBgEGfY1lYQEQEODs/XzJzJuzeDX378lcT9SvDu0BKGYSX56OQ0is0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUETRYFBE0WBQRNFgUEf8HVKq4Ia6oYzYAAAEXelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAG4g5gHiBkY2Bw0gzczC5pABopkZ4Qx2iAwzTAWMjxCH64AoYDDQYAQyGBWBhCQHkHAsyc/1K83J0ZBh0IZJ6mGT5GZgzGBiYEpgZE1gYs5gYmZJYGFNYOHIYGJlS2Bjz2Bi50hg4GTg4GIQYWJjAEqzMrKysbJwsIv3gYyEe4p5rqgDG3+ANYijtHGzvc+NqftB7OT7T+wjeDfbg9i572fbhRadB7OFpRT3M594YgdiJ6gt3jv/WRFY/bHoefsvTvgMZrOrKBzQTekBs89IcBz49mUrWP3xvhKHlc/j94HYvequB+YuOwg2UwwAWIZBi7gRJaAAAAF1elRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZJNa8MwDIbv+RU6D2r04Q/5sEPSlDFGU1i7XUvZZYUxGPT/MzkldcrC7AQk5ZEt6Y38+Mvx9HVpjx+fp/N310BZr/3L+QK3xX1jcfznyTnDuyBis4ViQLd5eh5gfWi7KbLevQ2HPRABseXYvmfbw247RQjWwE4kJVRAhyiUwmiUVTPZOHIeRb3AihwljFEWQBnBpIoxmSFZ1S8d6GGwqKAP0ep0kY1PC1yw81Zo37Ox9t37qKILYLQDDcSUS2FmZa8qvECmQpJjSZRisTKyhqXLtVzOLiCTjd1IzFFxicxXkjgGKmVKCKJLfRPCA4hTJjbQymTSeHc5bNv9/lHklkGWsRKHikGyzSoQa/6b4eOUsRn6O5Gvsne7oa+ye3u5qltcqRp6C8UqlS+hqkgJhDp3cyqcRjfXCXojUh2TN0Jnw/CG5Fmr467TYnOtZ5q3Nm+k+NO/b3bzC4y6piia5gXGAAABMHpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWQPW8CMQyG/0pHQCHyR+I43MRQdUVq1QUx0NMNVSGH6LUTP74+JpJu8fs8dpzsmVeHHvtCpe8X+yCrw7K3Mz7dFuyVkNCtwROqxOQ68swpoQMPwJhCItehD8Aa3Bo9JhBxnTVAyiI8t+agyqYZJk6os5eBdPbIRyCaE8iieE+QJM4XcIys0SL2oBCDQx+R8n26UGYIJoUgyuo60yFEQZOEQHTeKqlCsoCz2nZLd5zG8+46Xjbgz+PpbZzej6eh9INHS75/Pi5j/zVM/vXZyqH8fl7Hch7K5Mtxgw98u7PykaNsqObUcq45tzzUPLQ81jy2XGouLU//XpweOl62VjYv1nqithNzzXPLEZovg8a4/QGS9rvWU8ZOGgAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>ACTR2</td>\n",
        "      <td>STKR</td>\n",
        "      <td>TKL</td>\n",
@@ -843,7 +1027,7 @@
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP SE GA</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 na na</td>\n",
        "      <td>[33*]c1cnc2c([46*])cnn2c1</td>\n",
-       "      <td>10</td>\n",
+       "      <td>11</td>\n",
        "      <td>[SE, GA]</td>\n",
        "      <td>[AP=SE, AP=GA]</td>\n",
        "      <td>1</td>\n",
@@ -857,12 +1041,12 @@
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>4</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1cc(C2CC2)[nH]n1</td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ACTR2</td>\n",
        "      <td>STKR</td>\n",
        "      <td>TKL</td>\n",
@@ -886,36 +1070,6 @@
        "      <td>18.524861</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>AP</td>\n",
-       "      <td>Clc1c[nH]c2ncncc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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a8ZW221tbWtrazssIBQKJ0yYAACTJ08Wi8UdlpFFIBB8+eWXmLW//67QD24CqSCyMnJ4znDMm+E5w8MrwkVSEUIo4E0ApINNjs2ZijMpDSkP6h9s+3Obeoa6U56TBEnoKFZgIAJAx47hX3NTU5Ojo6P81faysjITExMACOme2i0tLbNnzwYAfX39x48f4xpvdxFKhZGVkTY5NpAOak/VSoWlsTWxkA72ufbV4r9MWh/WPywSFCF69ljz5iEAdPkyIZW3rrYfPny4szJ//PEHNiGLiYmRX1tDQ4OPjw8ADB48+NmzZ3gH2zNEUtH59+cPlB1ACM18NRPSIa4mrrPCdBTLwwMBoCTCFmuw1XYOhxMfH99ZmaNHj3Y5IaupqRk/fjwADBkyJDs7m5hge4MUSfWe6bHT2QKpoLMydBTL2hoBoPz8DrIOHEAmJqjPi45o586dADBo0KA3b950VgabjHc2IauqqnJzcwMAc3Pzly9f9jUgXKkV10I6mGaZyilDhFjK/l5heTkAwJAhHWSVlMC7dzg0sXv37hkzZlRWVn755ZedvWz4j3/8w9HRMT8/f+nSpQihtlk8Hs/Lyys1NdXS0vLevXvY027loVnaDAAGKgYKblepxaqvh4YG0NCADo+ykuNcj2Cz2b/88svw4cMzMjI2btzYYRkNDY2rV6/q6enduHHjyJEjrellZWWTJ0/Oysqys7N7+PChpaVlX6PBG12OLgDUS+sV3TCOvR/uFBQgAGRl1XHuuHEIAOH1+lbravvZs2c7KxMbG4tNyLDVqaKiIuzhj6OjY0/XuhTJ0KyhnKecWnHHqyqIhkMh1icZG8vL7XuPhTFmzJgzZ84AwPr167EztGSZNWvW999/L5FIlixZkpyc7OHh8fr1axcXl8TERENDQ3ziIABvXW8JklypvqLQVnGUFHeuXEEAaO7cjnOxF78aGvBsce3atQAwbNgwOdsfsDMXsO2dnp6edW1fT1NKnjY+VXmqYphp+Lz5edt0sVRcL6lHtO2xOuyTamqguRl0dEBLC88Wjx07NmHChLdv3y5atEgikcgWYLPZ0dHRQ4YMMTIyGj9+fFxcHPayjTLjqOl42PTwe/F75xfO//f2/85Xnj9Xee7bP7+1yLEIKw8jqFEVgurFBR4PoBOx5I+SvUZVVTU6OtrZ2XngwIFCoRB7l6Yd+vr6BgYGOTk5MTEx2traOEdADJsGb7JTt9tfvv9s5dnw9+EAoM5Wd9N0G6c1DgBYwGr9ihdKLVZZGYBcsfCaYLXF1NQ0NTXVzMwMe9GvQ4qKigBg5MiR+DdPGNN0p03TndYkbeKJeZosTSNVo9asOXpzkBOS8729QKnFktMtyXGu7wwbNkxOLp/Pb2ho0NfXbz3Tph+hyda05CpiTUSp51h6ejFeXvdMTKpks4jrsbqksLAQAKysrEhou/+g1D3WvXtB5eXlgweXymY1N18eP77CxsYVYJyCo2LE6g7K22NJJJKKigoWi9Xh5W/5+bcfPQrS0spTfGCMWN1BecWqqKiQSCQGBgbYilE7ysvLAWAIGWPhmzdvAEAJn94oFcorFqaOcScrCvJzCQUTi+mx5KPsYnXWJ5WVlcnJJRRsKGR6LPkor1hy1BGLxZWVlRwOR/FP6EQiUWlpKYfDkb8kwaC8YsnpsXg8nlQqNTQ0xM7YUCTFxcUSicTMzIzL5Sq46f6F8orF4/GgE7FInGAx42A3UV6x5AyFJH4kZNYauonyiiXHHhJn7sxaQzdRdrE6HO9IHwqZHqtLlF2sDrslV1fXwMBA7HUrBcMsYnUTFkI475fAhaamJi0tLXV1dQXc0dUjBg4cWF1dzefzlXkvsjKgpD0WibMoOdTU1FRXV2trazNWdYmSipWVlQXKJ9br16+BGQe7h3KJJZFIEhMTFyxYsGDBAlNT0+Li4qqqDjZjkQUzweo+yrIf68WLF+fOnbt48SKfzwcAdXV1gUDw/v37r7/++vr163J2CSsSZnW0++DZY128eHHgwIFRUVGyWa6urh3+ore0tMTExEyZMsXe3v7HH3/k8/l2dnZhYWElJSXp6emDBg26ceMGdkiaMsAsYnUfPHuslpaW6urqlpYW2Sxs2ts2JTc3NyoqKiIiAhvsdHV1/fz8AgICsJOAMC5cuDB79uzg4GA3Nzd3d3ccQ+0dzCJWD8DxHcXw8HDo5IR+a2trPT09hFBNTU14eDh2vwgGdhVqfX19h3V+++23AGBmZlZRUYFjqL0DO/Dj+fPnXRelPQoVKyQkpPVNPUNDw82bN3f5P0kkEnl4eADA9OnTZa80UiRisRg7ga3DC54Z2qHQT4Xa2toCgcDHxycyMrK4uPjIkSN2dnbyv0VFRSU6OtrAwOD27duHDx9WTJwdUlpaKhQKjY2NsbNDGOSD/6fCjIyM3377rV1iY2MjAKxZs2bJkiXm5uY9qnDo0KGXL1+eOnXqjh073NzcJk+ejFusPYGZYPUMHHs/bCjsDGyO1Wu2bdsGAEOGDCkrK8Mr4B5x7tw5AAgICCCl9X4H/j1WaGjo3Llz2yX6+vrW1dX1pdq9e/empqYmJiYuXrw4ISFB8XtHmbWGHoG/WKampqNHj26X2PeNvGw2++LFi46Ojvfu3Tt8+MT332/oY4U9hRkKe4RyPdKRj7Gx8aVLl9zcQn7+OTAhQdGtM8vuPaI/iQUA3t7eM2YcLC9nL1mCz8m23YfpsXpEPxMLAHbuhKlTgc+HxYtBLFZQo42NjXw+X11dnZRtq/2R/icWmw1RUWBqCsnJsHu3ghrFuisLCwvs+l2GLsFz8j5z5sz4+HgHBwfZrAsXLgiFQrwaGjwYYmLA0xMOHAA3N5g9G6+KO4UZB3sKnr9/pqamU6dOxa6ZbIe7u/ukSZNwbOuzz+BvfwOEYPlyKCrCsWIAAIlEkpSUJG4z0DJi9ZR+3LEHB4OfH1RVwcKFgEtv2NLSkpiYuGHDhqFDh06aNOnBgwetWcwiVk9Rlo1+vYDFgvPnwckJUlJg+3b44Yde1lNVBfHxt2NiIuLj45uamrBEW1vbhoaG1jLM3tEeQ/bSf19JSUFcLmKx0PXrPfvGt29ReDjy9UVcLvL0vIn9a9jb24eGhqalpbUrbG9vDwCkXxbXj+j3YiGEfvoJASA9PfT6ddeFCwvRvn3IxQWxWAgAASBVVRQQUHHq1KnS0tIOv0UqlWI7Gjq7i5VBFiqIJZWiOXMQAJoypevC0dEffNLQQL6+KDISVVd3WripqSk2NnbBggVcLldHRwfHmCkPFcRCCFVXo3nzUGFh1yVra9E336CbN1Fzc6dl+Hz+2bNnfX191dXVsSESe+b9yy+/4BgztVHSN6F7R2kpfPEFsFhw6RKMGPGXrFmzAABu3pT37cXFxTdu3IiLi0tOThaJRADAZrMdHR19fX3V1NS2bdtmYGCQl5dnYKDou//6JWSbjSevXn0Y5jw9Ubvrwy0skLl5x9+VkYFCQ5Gzs1RH58MKnJqa2owZM86cOVNeXo6VkUql2FseK1asIPZnoAoUFEtPDwGgdqNWO7EkEvTgAQoORra2H1wEQN7eEQsXLrxy5UqHF3oVFBSoq6uzWKzExERifwxKQEGxVq5EVlbIyAhVVX3MwsRqbkYJCSgoCBkbf/TJwAD5+6PYWNTS0kX9e/fuBQAbG5tmORM0BoQQJcVavx79+isCQGvWfMzCxFq69KNPI0agrVvRo0eo++/+iESisWPHAsDOnTuJiJ9KUFMshNDkyYjNRv/974csTKxr15CLC9q/H+Xm9rKJx48fs9lsLpebk5ODT9AUhbJi5ecjNTU0ejQSChGSO3nvKWvWrAGATz/9lNz3HJWcfvwQWj4jRsDGjZCdDadO4VxzWFiYqalpSkpKREQEzlVTCMqKBQC7doGFBezeDRUVeFarq6uLnVOydevWP//8E8+qKQSVxdLUhJ9+gpoa/Deazps3z8/Pr66ubtOmTThXTRWoLBYAzJkD06dDRAS8f49zzcePH9fR0YmJiYmNjcW5akpAcbEA4Phx4HCgzd4qfDAzM8OWtQIDAxtwr73/Q32xhg+H4GBCal6/fr2rq6u6uvrp06cJaaA/Q6mH0HV1cPkyODhAu0PaWlrg4kXQ1obFi3FuMTc318/PTyAQxMXFYWunDBiUEosU9u3bd+rUKTs7uzt37nR4GSw9of5QSDRbtmyxsLDIy8s7e/Ys2bEoEUyPhQNJSUmLFy/W0ND4/fffe3r6F1Vheiwc8PLymjNnTnNzM3aIFwMwPRZeVFVVTZw4saqq6vTp035+fmSHQz5Mj4UPAwcO3L59OwBs375dqW7TIAtGLNxYuHChh4dHVVXVgQMHyI6FfJihEE/evHkzefJkoVB45coV7BRx2sL0WHhiaWkZGBiIEAoJCREIBGSHQyaMWDgTGBg4YsSIwsLCEydOkB0LmTBDIf6kp6f7+flxOJyEhIQR7d5vpA1Mj4U/zs7OixcvFolEwcHBtP29ZcQihB07dpiYmDg5OWGnt/F4vJMnT9Jqdw0zFBJFU1OTpqamVCpls9mlpaXu7u6vXr2iz1PqfnzwmjJQWlp67ty5lJSU69evq6qqzpw5s22uvb29tbV1cnJySEiItbV1RkbGyZMn58+f7+vrS1bACoMRq/ckJCQcOHDA1dX12bNnYrFYTU2t7f1kP/zwg6ampoeHh0gkOnz48MuXL8+fP+/u7m5ra0tizAqDGQp7DzbMlZeXOzk5FRQUaGtrt2ZVVlaOGzcuISHBwsKisbHxq6++GjNmTHl5+enTpxV/CxApMJP33iPnzPcLFy54eXlZWFgAwMqVK42NjUNDQ1+8eBEWFqa4+EiFGQrxRygURkVFYdfQAcCePXvU1NQ4HM7f//53+py7zIiFP1evXjUxMXF2dsb+amNjg/3B0dGRvKAUDTMU4gxCKCIiYt26dWQHQjKMWH2itrYWu+Czrq4OW/9MTEwUCATTpk0jOzSSYT4V9h6xWNz2yk8XF5eoqKgVK1ZMnDhx2bJl5MWlFDBiMRACMxQyEAIjFgMhMGIxEAIjFgMhMGIxEAIjFgMhMGIxEAIjFgMh/D8fmbucjCN1mwAAAWR6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAPiDmB+IGRjYHDSDNzAKjGRlANCNcnB1CM8PEBRkUQDQubTDl6NoZDDQYQQoEgYQkB5BwLMnP9SvNydGQYdDmZmDOYGJgSWDgSmBkYmDkymBi5ElgZk9g5k5gYWVg4UhgY2dg58hg4uBk4ObJYOLmZRBhYmPk4WZm4GJlYWBm5xDfBDIbihn4rAve2cV5L3X8mKztNE3x3T72+BmO378aOG1dNnE/q+s0R1sdEyczm7n2wa1zHX2WaTiZvrew99Rb7+grqum07+B0u3LdbY6B2lpO66f4Ouz5Ms/xn6qC0+8YRoeKOYsdW1erOMm8vmSf+3yt4yFxVSfntYwOfP5bHFvmKTkdVdiw79XURY7HM/Wdjmxssxe4MclxQZSWk9nqOrtPlyY4+rboObUvv2+fxtHlOFFXw0kMAFSTWiRk2APRAAAB1HpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1TTWsbMRC9+1fMuRAxX9JIhx7WdmhL8Rpqt9cQcmkgBAKB/v2OpLjSXrprg2b05s2bj5Wntz8Pjy/vy8PT78fn12UH9flx/P78Dv8eOe7cj//5lVLglyDi7gT1APv7L99WOFyX/c1zOP9crxcgBYoe4+8Wu1zPp5uH4AAYNEVDBMaQEmU/KYeslnCKZUfeNSi5m0pATVqhGliRZ6jAV7ijQGKlQnOwLJVfowfJBqrOSoE5aydNBannp8Q6IyOsrtS4eZlCLk2fI9kwz8jk6TFwafKYg3lQR0ZlmZEGhxeQwNQAnj6nEisUA4rRDM0ulAMySW+URmrVe5nJ4owsraSklrtQEz80JNu2eEJXWkkTd6VRcurpU9RNTURevrdfVLELEG5kKiFH2VRF3BRgbMV6+yXG+NGAnDdaSVpXWbN1KKFgZ01ctmIVPjmrqTVWCxz1Y1So2ljhtFwun8luIffrcbNsff325/U41k/rf+xYNePYo2oSjWUhh8jYCHVzXKduy5iu+pvHBKtJPObkqSBNw1C3y9Rxcoo8ddXJpnvxe+eYG1TpJwH++VHz6NyRuf5q3z5dP+/+AvuiybI769FrAAABd3pUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWQu04DMRBFf4UyQcbyPDwzzlYICVGmQDQRRVhtgUh2oxCo8vGMI4qs06w199ydx92A3r/3MPaLzcv7cuyxh37xtFv+1+jfu/MCorJSAI2YGQJjTMy5g5gyumyRcs5Vzma5SxHZtMqQKDBFwYLdQ4osGQIU/1k4MLstuQ4RSEu1q5EGzs7p4ifmgP4gYW1jmai7dNEqi4DVmcYqvgqicW0uJV02BEHufFEEqm7O4DN9lmjuKCIgVrdJ8cVTTKTgTYTVAvq5ZNWM6ovUHoIB/ToyqWbJbL6IInI1W1GpE1FTlbH4de5W55dMGGkZtqdpvz5Oh1WK+2n3Op3etrth7IcIrnz/fBym/ms4xee1l8P4+3mcxv0wnuK4XcEVf1x7ec2BVzjn2HKac2o5zzm3PM95brnMubRc51xbbnNuLS9zXloOqQko3TjaCG8yhCZEuEkRmhihzfH8B2Gk8Y4edLgSAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
-       "      <td>AKT1</td>\n",
-       "      <td>Akt</td>\n",
-       "      <td>AGC</td>\n",
-       "      <td>3cqw</td>\n",
-       "      <td>CQW</td>\n",
-       "      <td>A</td>\n",
-       "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP FP</td>\n",
-       "      <td>14 14 14 14 14 14 14 14 14 14 14 14 14 na</td>\n",
-       "      <td>[17*]c1ncnc2[nH]cc(Cl)c12</td>\n",
-       "      <td>1</td>\n",
-       "      <td>[FP]</td>\n",
-       "      <td>[AP=FP]</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.624952</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>18.136369</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
@@ -963,7 +1117,15 @@
    "cell_type": "code",
    "execution_count": 20,
    "id": "03aa03a9-791b-4eb9-93a0-dac1edb2809e",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:42:34.926023Z",
+     "iopub.status.busy": "2024-05-13T08:42:34.925815Z",
+     "iopub.status.idle": "2024-05-13T08:42:34.976008Z",
+     "shell.execute_reply": "2024-05-13T08:42:34.975400Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1005,14 +1167,22 @@
    "cell_type": "code",
    "execution_count": 21,
    "id": "1117a8b8-b194-4c0f-b351-759de62cb7d5",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:42:34.978600Z",
+     "iopub.status.busy": "2024-05-13T08:42:34.978357Z",
+     "iopub.status.idle": "2024-05-13T08:45:42.371278Z",
+     "shell.execute_reply": "2024-05-13T08:45:42.370725Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of fragments:  699\n",
-      "Number of unique pairs: 39976\n"
+      "Number of fragments:  778\n",
+      "Number of unique pairs: 46415\n"
      ]
     }
    ],
@@ -1037,9 +1207,7 @@
     "ASKCOS is used to check if for the fragment pairs a retrosynthetic route can be found. We will exclude all fragments without at least one retrosynthetic route found.\n",
     "\n",
     "For each fragment pair, we will start an ASKCOS query, requesting if ASKCOS can find a one step retrosynthetic route building this fragment pair. For all routes found, we will retrieve the children building the requested fragment pair and also the plausibility of this reaction.\n",
-    "Afterwards, we will compare the children retrieved from ASKCOS with the fragments building the pair. If the fragments are substructures of the children their `retro_count` is increased by one and the fragments, pair, children and plausibility are stored in the `mol_df` dataframe. If they are no substructures, we will store the information in the `diff_df` dataframe.\n",
-    "\n",
-    "[ASKCOS webpage for One-step Retrosynthesis](https://askcos.mit.edu/retro/)"
+    "Afterwards, we will compare the children retrieved from ASKCOS with the fragments building the pair. If the fragments are substructures of the children their `retro_count` is increased by one and the fragments, pair, children and plausibility are stored in the `mol_df` dataframe. If they are no substructures, we will store the information in the `diff_df` dataframe."
    ]
   },
   {
@@ -1050,14 +1218,22 @@
     "ASKCOS query is started for fragment pairs which were not already requested (already requested fragment pairs can be found in [/data/filters/retrosynthesizability/retro.txt](https://github.com/sonjaleo/KinFragLib/blob/fragment_pairs/data/filters/retrosynthesizability/retro.txt)) and children retrieved from ASKCOS get compared with the fragments building the pairs.\n",
     "Depending on the number of new queries and molecule comparisons this could run a long time (a query of 1000 fragment pairs takes about 1h 30min on an 8 core machine).\n",
     "\n",
-    "Note: If your internet connection is instable, you might need to run this several times. When starting it again it will only compute the pairs which were not yet computed."
+    "**Note**: Make sure that ASKCOS is running if the input is changed (using `make start` within the `askcos2_core` directory which is obtained following the [installation](https://askcos-docs.mit.edu/guide/1-Introduction/1.1-Introduction.html))."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 22,
    "id": "b95e14ee-d016-44ed-b2ed-63a0cb01bab7",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:45:42.373926Z",
+     "iopub.status.busy": "2024-05-13T08:45:42.373738Z",
+     "iopub.status.idle": "2024-05-13T08:55:41.472077Z",
+     "shell.execute_reply": "2024-05-13T08:55:41.471496Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1069,8 +1245,8 @@
       "Checking if all fragment pairs were requested..\n",
       "All fragment pairs were requested.\n",
       "Done.\n",
-      "CPU times: user 8min 5s, sys: 2.08 s, total: 8min 7s\n",
-      "Wall time: 9min\n"
+      "CPU times: user 6min 58s, sys: 4.37 s, total: 7min 3s\n",
+      "Wall time: 7min 48s\n"
      ]
     }
    ],
@@ -1085,14 +1261,6 @@
     ")"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "d571d72e-5a14-4e0b-91eb-c22ebbaeaa8b",
-   "metadata": {},
-   "source": [
-    "Note: if not all fragment pairs were requested, please run this function again."
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "23ffbc33-356a-4d1c-860a-bc372b5454f3",
@@ -1105,7 +1273,15 @@
    "cell_type": "code",
    "execution_count": 23,
    "id": "27ec3820-7d31-491c-953a-a8680a3b5d17",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:41.474240Z",
+     "iopub.status.busy": "2024-05-13T08:55:41.474054Z",
+     "iopub.status.idle": "2024-05-13T08:55:41.547650Z",
+     "shell.execute_reply": "2024-05-13T08:55:41.547091Z"
+    },
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -1164,15 +1340,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAYuklEQVR4nO2de1yUVf7HP88wI3hhgBQVMNRWXcUbxs0NErM0L9B6wxIjbLco10RNzepXsm77otRW6RWaGqti7VJqq4Kmool4WxBQQ3LFewooonEVhGHm+/vjIcJhZmCGeS6D5/3iD2fOmef5jPOZ53vm+5xzvhwRgcGwNgqpBTDaJ8xYDEFgxmIIAjMWQxCYsRiCwIzFEARmLIYgMGMxBIEZiyEIzFgMQWDGYggCMxZDEJixGILAjMUQBGYshiAwYzEEgRmLIQjMWAxBYMZiCAIzFkMQmLEYgsCMxRAEZiyGIDBjMQSBGYshCMxYDEFgxmIIAjMWQxCYsRiCwIzFEARmLOtz5QrUarzzjoGm3r0xZozogqSAGcv6aLWorERNjYGmigrcvy+6IClgxmIIAjMWQxCYsRiCoJRaQLvlxAksXqz/pMGBV7uEGUsoLl1CSYn+k3V1UkiRAmYsoZg9G59/rv+ki4sUUqSAjbEYgsCMxRAEZiyGIDBjMQSBDd6tT6dOCA5G//4GmoKC8PjjoguSAo7V0mEIAQuFgqBQgOOwe/dDT1ZWguMQGSmRJnFhxhKQefNQVSW1CIlgxhKKgQNRUIDly6XWIRHMWEIxYgRefBFxccjNlVqKFDBjCciqVbC3x+uvQ6eTWoroMGMJSK9eePddnDqFhASppYgOM5awLFmCAQPw7ru4c0dqKeLCjCUs9vaIj0dpKf7v/6SWIi7MWIIzdizCwrBpE86ckVqKiDBjWRmDNzJWr0bnzg8tCGv3a3WYsawGET77DFOnGvBWr15YtgyZmQ0P8/LQty82bhRZoKgwY1mHO3cwfjwWLMDu3ThxwkCHBQswfHjDv7/+GiUleOMNhIejvFxMmeLBjGUF0tIwYgRSU9GtG/bsQVAQnnsOQ4Y81EepRHw8nnsOgwfjk0+wbRucnZGUhGHDcPSoRLoFhRhtoL6eYmLIzo4AGj2aCgvNeO21axQYSAApFBQdTXV1gqmUAmYsy7l5k55+mgCys6OYGKqvN/sIGs1vvvT3p0uXBFApEcxYFpKcTF27EkA9elBqapsO9d//0hNPEECOjrRhg5X0SQ0zltnU1VFMDCkUBNDYsXT7thWOWVZGs2YRQABNn06//GKFY0qLSMbavp22baOqqoeerK+nbdsoI0McCdbh+nUaOZIAUiopJoa0WmsePDGRHB0JIE9PSk+35pHFRyRjKZUE0NKlDz15/z4BNGuWOBKswI4d5OxMAPXuTSdPCnKKxhG9nR0tXWrDI3rxjMVxpFJRbu5vT9qQsWpqKDq6IVRNnSpsqGofI3rxjDVuHHXtSgEBv4UPWzHW+fM0bBgB5OBAcXEinfTIEXr8cQJIraZvvy0W6azWQ7wEqbMzPvgAmZnYtEm0c1qBhISE+fMP5ObCywunTmH+fJHOGxyMc+cQHg6OK1u40G/GjBmlpaUindsqiONfpZJmzCCNhoYMocceo+JiItlfscrLy1966SUAHKd4553C+/elkfHvf//QpUsXAH369Dl+/Lg0IsxHVGMR0cGDBFBkJJG8jZWdnd2vXz8Ajo6OX3/9tbRirl27FhgYCMDOzm7p0qV1tjCkF9tYRPTii8RxlJ7+m7Hu3KGXX6a4ODp+nKS6MDSi0+ni4uI6dOgA4Mknn7x48aLEgoiISKPRxMTE2NnZAfD3978k+yG9BMa6dYucnGj4cKqoaDDWnj0NP7j4n9leXhQRQXFxdOwYVVeLI7CBu3fvhoaG8oOEqKioBw8eiHr6ljh58mTfvn0BqNXqDfJO0ktgLCJavZoA+uyzBmMVFtL69fTaa+Tt3ZDxavxTqcjHh958kxIS6OxZ0mgEFJmRkcF/bE5OTtu2bRPwTG2grKwsPDyct35YWNgvck3SS2MsjYaGDaNu3QyMserqKC+PEhMpOpp8fBrSOU19xl/PNmygvDyrJb758KdSqfhAc/XqVescVzASExP5EX3v3r2PHj0qtRwDSGMsIjp+nDiu5cF7ZSWlp9M//kEzZ1L//g0vafzr1+9mcHDwokWLkpKSLB52FBcXP//88wA4jouOjraJoTERXb169amnnpLtiF4yYxHR7Nlm/yosL6djxygujiIiyMuLRo78rmnqRK1WBwYGRkdHJyYm5uXl6XS6Fg946NAhNzc3AK6urvv27TPnPUlP0xF9QECArEb0whrrwAH685+pro6+/JIOHtRvLSmhDRvohx8sP35xcenevXuXL18eGhrK+6Mp3bt3nzhx4rJly1JSUm7duqX3Wv5TUSgUAMaMGVNUVGS5DklJS0vr1asX/73aunWr1HIaENBYp0833Kv/8kvhTvIQhYWFycnJMTExISEh3bt31/OZm5tbSEhITExMcnLy6dOn+cyQUqmMiYnRWneWgujcu3dv2rRp/NtctGiR1HKIhDPWzZvUqxcB9NJLVp5b0nqa+qxr165NTebs7AzA09PThnLZLZKYmKhSqSIjI0tLS6XWQoLs6PfLLwgMxIULGD0a+/fD3t7qZzAbIrp48WJ2dnZ2dnZGRsaPP/6o1WqvX7/ePIDaLrdv3/bw8LC3ty8pKencubPEaqxu1ZoaCgoigIYMIQu+OefOUVgYrVhBP/xAZWVWV9eAj48PgF27dgl1AilYt24dgMmTJ0sthMjqoVCrpWnTCCAPD7pxw5IjbNjwUELBzY1CQigmhpKTrTkL6pNPPgEwS573KY1TU1NjYjg4duxYAImJiWJKMoaVjTV/PgHk5EQ//mjhEW7coM2bae5cCgggB4eHTGZnR0OG0OzZFB9PGRlUU2N5Gv7q1ascxzk6OlaLfM+obaxevbpHjx4JCQnNm0pLSzt06KBUKktKSsQX1hxrGmvFCgKoQwc6dMg6B9RofsvCBwY+5DOFQuvs7OLl5RUREREXF3fs2DFz7+vZYjQMCgoCsH379uZNX331FYBnn31WfFUGsZqxkpJIoSCOo6++stYh9ampoYwMio+n2bPpueeu8InBRhwcHEaOHPnWW29t2bIlLy+vvqVlfjYXDYuLi+3s7Ozt7SsqKpq3Tp06FUB8fLz4wgxiHWOlpZG9PQG0erVVjtcqqqqqjh49unr16vDw8AEDBnAc19RnXbp0efrppxcuXHju3DmDL7e5aLhx40YAoaGhzZuqq6s7d+7McdwNywa2AmAFY+XlNaxdefvtth/McioqKo4dOxYXFxcREeHl5dXos/379xt7iW1FwwkTJgDYtGlT86Zdu3YB8Pf3F1+VMdpqrIKChjn/YWGSJUINUlJSsm/fvo8++ujevXvG+thQNKyoqHBwcLCzs7tz507z1sjISAAff/yx+MKM0SZjlZc3LF8ZNYpqaqwlSTxsKBomJSUBGD16dPOm+vr6bt26Afjf//4nvjBjWL5Kp7a2dv78n3NzMXgwdu2Cg4PFR5KMvn37Pvnkk5WVlampqVJraYGdO3cCmDJlSvOm9PT0u3fvDho0aODAgaLrMoqFxtLpdJGRkV99NSAk5Nz339twRdqwsDAA27dvl1qIKWpra/ft2wegcdp0U0x4Tkosu9AtXLgQgFqtPnPmjHUvoSJjE9EwJSUFgI+PT/MmnU73+OOPA8jKyhJfmAksMdbatWsBqFSq1Dbu3yMP5P/b8E9/+hOAv//9782bTp06BcDDw6M1sxrFxOxQuH379nnz5nEcl5CQwN+csnVkHg21Wi1/xTIY7Pg4OHXqVL00nvSYZcP09HQHBwcAK1asEMjp4iPzaHjkyBEA/fv3N9jKD9gPHz4ssqoWMcNYP/30k4uLC4A33nhDOEGSIOdoOH/+fABL9baAIiKi/Px8AF27dtUIuizOIlobCouKiiZOnFhaWhoaGsqPsdoTco6GycnJMBIHv/vuOwChoaFKpfxqe7fGfRUVFd7e3gD8/f3vS74GXgBkGw1zcnIAuLu7Gxyb+/n5Adi9e7f4wlqkZWPV1dWNGzcOQL9+/QzeT2gfyDMafvDBBwD+8pe/NG8qKCjgOK5Tp07y/Kq3EAqJ6PXXX09NTeWX3bm6ugp9BZUKeUZDE8nPnTt3EtGECRM6deokuq5WYNp3S5cuBeDo6JiTkyOGz6VDhtHw0qVLAJydnWtra5u3jhkzBoDkWywZw5Sx1q9fD0ClUpmYedKe8PX1xa9XAjmwYsUKABEREc2b7t27p1QqVSqVbDcFMRoKk5OT586dy3Hcxo0b+a0N2j1yi4Ym4mBKSkp9ff0zzzzjItvbtMYct2PHDhcXl8WLF4tpc2mRVTS8deuWQqHo2LFjld7u+ERE9Mc//hHAF198Ib6wVmL0irVjx47S0tIePXqIaHKJ6du3r4+PT2Vl5YEDB6TWgp07d+p0uueff7750tPq6uqDBw8qFIoXXnhBEm2twaix5BYXxEE+79pEHNy/f391dXVAQIC7u7voulqNsUtZTU2NWq0GcOXKFWN9TMz6tVFkEg1NLxJ8+eWXAaxcuVJ8Ya3H6BXLwcFh0qRJ+PW+gR537tzx9vYeOnSoTqcTzPMSIJNouGfPnrq6uuDgYH7OcVM0Gs3evXsB8MMs2WIqQWoiLnTv3r2qqqqoqOiEwTq1towcoqGJOHjkyJHS0tKhQ4cOGDBAdF3mYOJqZjoa8rnTefPmCXY1lQbJo6HpRYJz5swBsGzZMvGFmUULmfeZM2fCSDjPzs4G0LNnzxbXHNsc0mZKTSwS1Ol0/OZ98p8R3sK9QhNxwcfHp1+/frdv32bR0LpkZGQAmDx5cvOmzMzMgoKCPn36DB8+XHRdZmLad62Jhm+99ZYwppcMyaPhxYsXi4sNVPx65513ACxcuFB8SebS8rQZFg3lw+9//3sA8tzYXY+WZ5CyaCgTfvrpp/z8/G7duvHbu8uclo01YcIEtVqdlZV15cqV5q38Zr2y+gCsQlhYGMdxKSkpNTU1UmtpgM9BTJ48WW//JnnSsrEaM6X/+c9/mrfy3+wdO3ZotVqri5MQmWRKmyLTFc9GaNViChYNJefnn38+c+ZMly5d+Pl98qdVxno0o+GMGTM4jktOTpZDNOQn40+aNMnBRnZfaZWx2nE0JOPb3Pfp08fHx6eqqkoO0dC24iCA1hYQ2Llz59SpU/38/PjNAvTo37//5cuX09PTR40aZW2FAhIbG5ufn5+QkMAXlGvOypUrly5d6u3tzReHJqKysjKDPR88eGDswlZRUWHwK1dfX19ZWWnwJffv36+rq2t8qNVqc3Nz+ckOfFrRBmhlWqIxU3r58uXmrbaYKd26dSvHcQqFIi0tzVifNWvWyOSDdHV1NS1VbphR8iQ8PDwpKWnlypVLlizRa8rJyfH19e3Zs2dBQYFN/BhOS0ubMGFCbW1tXFwcv4a9OQcOHAgNDdVoNBMnThw6dCj/pLE55vb29saWYanVaoP/J0ql0tHR0eBLOnfuzBelbmTz5s1r167t0aPH2bNne/bsaex9yYjWe5AfYPn5+Rls5Wu+p6enW8fwQnLu3Dm+SNOSJUuM9cnJyeFLmL733ntiajOGVqvlfw+OHz9ebjsWGcQMY5mOhu+++y5sIRrevHmT36nsxRdfNFY+5OrVq/xVYebMmfL5FAsKCvh5f6tWrZJaS8uYt42RifuG/C4DMr9vWFZWxge14OBgY5Us7t69y+8N9Mwzz8itiv3333/PcZxSqTx58qTUWlrAPGPZdDSsra3lo8ngwYONrfOsrq7mC2QOGTJEDlX/mvP2228D8PT0lPmCA/OMZbvRUKvVTp8+HYC7u/vPP/9srA9fOMTDw0M+JR70qKur+8Mf/gBg2rRpUmsxhdl7kIaHh8PIjn5yjoYLFiwAoFarz549a6xPdHQ0ACcnpx8trl0mCleuXHFycgKwbt06qbUYxWxj8SlgX19fg618NDxy5EibhVmTVatWAejQocPB5hXPf+Xjjz/m+xyyVu0yIeFvoNnb258+fVpqLYYx21itiYZz5861hjbr8M033ygUCo7jTFR4T0pK4pOl27ZtE1NbW4iKigLQv39/g8XAJMeS7bhtKBoeOXLE3t4ewKeffmqsT1paGt9nzZo1YmprIzU1NfzM98jISKm1GMASY9lKNGzcjXfOnDnG+jQmSxctWiSmNquQn5/P5+5lUq63KZYYyyaiYWFhoaenJ4AXXnjB2OWzoKCAT5bOmDHDRK1lOfPPf/4TQOfOnWVVoYksrv4l82hYXl7Oh4mAgABjW3SWlZUNGzYMwKhRo+SWCDWLWbNmAfD29n7wQEabcltoLDlHw7q6Or5kxqBBg4xlEWtra5999lkAXl5est0Ur5VUVlaOGDEqMPCa1EHiISw0VovR0NXVNSkpqW3aLEGn00VERABwc3O7fv26sT78t9xEstS2OH1ax5dO/u47qaX8iuWFME1Ew4qKCqni4OLFiwE4OjqaSPC0Jllqc3z2GQHk7ExXr0othYjaYizT0VASvvjiCwAqlerAgQPG+nz66adoR6XLGtHpaMoUAsjfnwxtsiw2lhvLdDQUn927d9vZ2XEct2XLFmN9vv322xaTpbZLaSn16UMAGaq7IzZtqgltIhqKTEZGBj+BMzY21lifxtJlNjGfyTIyM0mlIo6jlBSJlbTJWDKJhufPn3/ssccAREVFGevTmCx98803xdQmPrGxBJCrKxUWSimjTcaSQzQsKirq06cPgJCQEGPV1QoLC3v37m06Wdpu0Gpp3DgCKDiYJHyvbTIWySAa8jv7jBw50lgitLy8nC9dZiJZ2s4oLiY3NwLoo48k09BWY0keDevr65cvX25wd2FqXbK0XZKWRnZ2pFDQDz9II6CtxqqpqXF0dFQqlZMmTYqNjT148KB8ZvTqdLpXXnmFT5Zeu3ZNajli8/77BFCvXmTkSycsbTUWEZ04cYK/6daIm5tbSEhITExMcnKyhNcJfv2j6WRpO0ajoaAgAmjiRBJ/qZEZC1ZNcOHChaysrOzs7KysrLNnzzZdbK5QKAYOHOj7K97e3h07dmz7GVtk/fr1c+bMUalUKSkpj0iRqeYUFMDbG/fuYc0aLFgg6qmtY6ymaLXaCxcu5DThwYMHja1KpXLAgAE+v+Lr6yvE9ikpKSlTpkzR6XSbNm2aPXu21Y9vQ+zdi9BQKJU4ehQjR4p3XusbS4/6+vr8/PxGk2VlZTXd7kLPZ/7+/npLyy0gMzNzzJgx1dXVsbGx7733XhuP1g6YPx9bt+Jf/8LEieKdVHBj6aHRaC5evHjixInjx4/n5ORcuHChadEUlUo1bNiwwMBA3meDBg1SKFq10VIjly9ffuqpp0pKSqKiojZs2GBt+TZJbS1u34aLC+7ehaMj9Movl5Xhl1/g4QGOw927cHKCXrkxIty6hY4dYV5pRLEHdQ9TWVl57NixuLi4iIgILy8vjuOaanN0dAwMDIyOjk5MTMzLy2txtXtrkqWPLPHxBFDPnqT3q53P1Gdm0qFDBFDzVe4VFQSQuasYlZZ9CaxFly5dgoKCgoKC+IcVFRW5ubmNcfP8+fMnTpxo3ITSyclpyJAhjXFz8ODBTQ9VWVk5adKk69ev+/n5ffPNN0qlxG9Nnty+jQ8/xOefC34ief3vq9Xqpj4rKyvLy8vj42Z2dja/02mjz1xcXHx8fPi4OWLEiNdee+3MmTO/+93v9uzZ07x4JIMnIADr1uGVV+DnJ+yJ5GUsPZydnXmf8Ru73bhxI7sJpaWlhw4dOnToEN+Z47gePXqkpqZ2795dUtWy5v338eqrePNNnDoFQTcyk7Wx9PD09PT09OS3VwBQVFTUGDRPnjz5t7/9LSAg4IknnpBWpMx57DH89a+IjkZ8PIxsOGcdbMlYeri7u7u7u4eGhgLQ6XTm/n58ZJkzB19+iQ8/xPTp8PDQb928GenpDz1j2ZbF7eTDYK5qPUol1q1DVZXhXLxGgwcP9P8sOUsbVTJskaAgREZiyxakpuo3RUVBb4vZykpYsMEv+6I/oqxcCRcXLFkCgYp6syvWI4qrK2JjMWcONBpBjs+M9egSFYUtW5CZacZL8vOxezd0OowfD29vUz1ZKHx0USiwdq0Z2ay9ezF6NCorcf8+Ro3C/v2mOrMr1qPC4MGIioJe7QEfH8TF4dw5dO8OtRpRUQauQx06ICoKPj7o2hUpKfD1BYDaWiQkYPx4o6cTe3YDo30QG4vsbBiq2dUAC4UMs9FqsX17C7O7mLEYZrN4MdRqvPqqqT5sjMUwg9paREcjNxf797cw6mdXLEZrKSjA6NG4fx+HD8PJqYXObPDOaC3Tp+Pw4d8euroiP99oZ2YshiCwUMgQBGYshiAwYzEEgRmLIQjMWAxBYMZiCAIzFkMQmLEYgsCMxRAEZiyGIDBjMQSBGYshCMxYDEFgxmIIAjMWQxCYsRiCwIzFEARmLIYgMGMxBIEZiyEIzFgMQWDGYggCMxZDEJixGILAjMUQBGYshiAwYzEEgRmLIQjMWAxBYMZiCML/A71TlIGeMZUfAAAA8HpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAuIOYG4gZGNocMIM3MjGCwO2iAGUgyYAEWGM3uYAGiGTFVsDOABRiZuBkYM5gYmBMYmRKYWDOYmFkymFhYE1g4EljZEtjYE9g5Mpg4OBVEmNiAmliZGFnZWFk42MWbgJoZ4U6sSOY/EGW6cD+Io3RI90BskbodiG2idme/9awl9iC2VLjrfsG1x8Fq5Kak2rWxPNgHYttrN+zjdK0Bq8m5XGLfpf8BzDbz43ZY2tEAZvNuvGMfKHYLrJ4zXt1B6tcFsDliAJxJMQ1xj+NNAAABWHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2S0WpCMQyG789T9AUsSZu0zeXRI2MMj7C53Q7ZzQQZDHx/9lfRKpT19ECTfgn5k+pRfj/3x9P4+fW9P/yMg6vrdXo5nNxthWmAn/7ZZuY+IhENG1cPbrl+ep7dajcur57V9n3evTkmx4wYfI/suNturh52K7cIPgiJJLdgH9REEObpvFpsuJCZxbLgnlPUEDpgdHNNlNmMk0PGoqa5A0rNSD5nKolqiKpZsg6pIMmHIGylhkjMGrUDpkvKoBRhkbeiEkoHzCgS1woRjBpLTqI91QUJg+eckhg4IuFMHc7AQTMq1HiuEH3UXncwlRkZEyuSVtEpBuwOuZ6nh1FdhrfczlMbnuAPbULVlDYHgSu2bgtcqbW0OrQ1Dka7zWfTWhcERG5iBUS5kyRAbjReHYPhByX3dVf7+mBxHv4AY9mXn5pYVGEAAAD6elRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXc6xTgMxDAbgV2EEKY1ix3biu4mtE+qOGCC6AaHmqvZg6sPj3uZky//9sfPWoL3340fD3uwAPt2fMQow1HCAKBklhxliQQIOhxQJWRnDjBGKCAeIKRGUMKeoLJnBklqEOMzWRk45B6PKhNUimwSqaCWsrGIJWkJarAT2HHGPkJJNsLZtI9pHlZKqPCJm1X0f2p+07p/KhTOHl/C5refTdb1MKd5+vy5r+1m2+Hqy69L/vq9rPy99izyBZ3AMMqF3HD17z6OTdxqdvfPo4l1GL97L6NV7HV296+D3f48ZnYiDyx/2AAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -1189,16 +1365,48 @@
        "      <td>1</td>\n",
        "      <td>30.950959</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>704</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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LjAw0NnZuX5qSRsbmyNHjrz33nvbt2/Py8sbOXKkVCqVSqWWlpb0gWrttX64dOnSgQMHTE1NDbsTpNForAYjFrtdIc2YMWPWrVu3bds2TZ3d0KFDp02bduzYsaioqKioqPoNJBKJtHHY2tpSFNVsqcXFxZ988gkhJCgoiF5Eadg0J2Jxx1gAAgICZs2apXrUsQ7Pnz8/ffr0q1evxo0b17lz56KiosLCwqL/UlJSUlFR8fz58+fPnzd4IlNT0zoBT8tx/Ux5Pj4+z549GzJkiJ+fnw4+NudpTsTiSFdIQ1GUJlcB+OKLLwoLC93c3KKjo+vHm6qqKpXJahtO7XF5eXlOTk5jcpQBaN26dW3DlZeXx8TEmJmZhYeHq9IRGDa8j1haiIiIOHHihLm5+YEDB9T2YsbGxh06dKAXQDcGmUymMtzz58+zs7OL1FFYWFhWVlZWVpaZmal6rZ2d3aBBgxwcHHTz2TgP7yOWJrKzs319fQHs3LmzS5cuOnlPOk2ZnZ1dgy3LyspqB7y4uLidO3feuHFDJpNpz7BoOGha9lBdXQ1AJBLVf+j59OnTAMaPH8/ksouWQl8kuru7sy2kBvrWTWhoKNtC9ITGeSyRSGRqaqpUKuVyeZ0q7kesAwcOnDt3zsLC4t///jfbWmpYuXIlgODgYLXrMgwPbTtTaBpLcXyMlZWVRU8/7t69m17sygU8PDwGDBjw7NmzyMhItrXoA23G0hSZuByxCCELFiwoKiqaOHEivWyfI1AURa+72rhx418haDVsLH5FrH379p0/f97Kyiqs/haAbOPp6dmvX7/09PSDtfP/GygNd4U8iljp6el0JxgaGspIiumWIRKJ6PWJGzdurKqqYlsOszQnYnFhdUN9CCGffvppSUnJhx9+6OXlxbYcJKnb/HTatGl9+vRJS0v78ccf9S9Jr2i5YnzvvfcAxMbG1imnY5VEImHuYrUZhIaGAmjfvn1OTg67Sqqrq4cPHy4SiVJSUurXfvfddwAcHBx49whkk2hOxJJIJBRFyeVytQuhWOHp06f02pg9e/Zo35VKD4hEIicnJ6VSqXY9z8yZM3v06PHw4cOjR4/qX5v+0GK6yZMnAzh69Gj9KtpzHEkEqlSSBQuumJi0mjp1KttaasjIyBCLxUZGRg8fPqxfS19YODo6GnDQak7EAjfW+qkIDcX+/cPeeed5qKaNi/ROly5d5syZU11dHRwcXL923rx53bp1u3///smTJ/WvTT8056oQXBq/P3mClSsBwNe3Hf2UPUcICAgwMTGJior6888/61SZmJjQV68bNmwghLChjnGaM0EKwNbWtmfPnqyvJVcqMW8eXr3CjBmYPJldLXXp1q3bjBkzqqurt23bVr92wYIFnTp1unPnzpkzZ/SvTR9o6Sbp21sbN27UV7/cZLZvJwCxtSUFBWxLUUdqaqqxsbGJicmTJ0/q19IPsQ0ePFjvuvRBc+4VcoTHj7FmDQCEhsLSkm016ujVq5eXl5dCoVAbtLy9vceO/TQvL/zcOf1LY5xmdoWso1Ri7lyUlWH2bEyaxLYazQQEBIhEogMHDmRlZdWpMjMzc3X99vHjvkFBrEhjFr5GrO3bkZgIW1vs2MG2FK307dt3ypQpcrlcbdD6/HNYW+P6dVy6pH9pzMLLiPXoEdauBYD9+znaCdZm9erVFEVFRkbm5tb9l2zdGj4+ABAYyIIwRmnYWGqfYWcRpRILFkAmwyef4B//YFtNI+jfv//ixXslknvbtrWqX7t4Mdq3x9WriI/XvzQm0TKwj4+Pd3FxoSjK2dnZ39//4sWLLdmOUFds3kwA0qkTKSxkW0qjuX2bUBRp3Zrk5qqpXb+eAMTVVe+ymKSBbeUiIiIkEonKhVZWVtOmTYuMjMxV+y/EPPfvE4mEUBRhO014k3F315jG/eXLmp3D+b5/Tm0a3q+wvLz84sWL/v7+dOpiFY6OjnoOYwoFeecdAhBvb/2cUJf8/juhKNKmDcnLU1O7Zg0ByLhxepfFGE3bYTUtLS0sLMzT07Nt27Yqh7Vp08bd3T0sLIzpPMr//GdNJ8jPdO5k7FgCkDVr1FQVFJC2bQlA2NtiRsc0c7Px8vLy8+fPL1261N7eXuUwiqLefvvtlStXJiQk6Hy3+UePiKkpoShy8aKO31lvXL1KAGJurn50SG9TOGGC3mUxQ4t2sad5/PgxHcZUyVu6dOnRujVxdydhYSQjo+VnIIQQpZLs2sXvTUcJIa6uBCBqc9Hn55M2bQhADCMztw6MpaKioiImJsbX19fTcxNAVD9OTsTfn8TFkQYHY6WlxN+fBASQOtn0k5KIvz/5808dimWHy5cJQCwtSUmJmlo/PwIQDw+9y2IAXRqrNs+fk8hI4ulJzM1fO6x1azJmDAkJIenp6l+Vm1vTss5OchERBOBxJ1ibkSMJQDZtUlOVk0PMzAhFkf/8R++ydA1TxlKhUJDEROLvT5ydCUW9NlnPnsTbm5w69UZwoo3VqhWRSMgff7wuNyRjXbxIAGJlRUpL1dQuWUIA4uWld1m6hnFj1SYnpyaM0dM29E+rVjVh7MmTGmN99hmxsCBubq9faEjGIoQMHUoAsmOHmqrsbGJmRkQiwtLWtjpDr8ZSUVlJ4uKIvz9xcnrtsLZtSWYmAcjq1TULrQ4dqmlvYMaKjSVff01evVJf+/nnBCALFuhXk65hx1i1ycoi+/eTKVPI3Lk1EWv1alJZSfr2JR071kxZGZixtJOeTjZvVj+65xHabkLrBzs7zJ+Po0cRHv660MQE336L3FwEBLCnjCUqK3HrFvz8UOdh6Z9/xtSpaFxGQfZh31iaGDkSXl749lv8/jvbUvRLYSGOHsW+fdi5843ylBQcPYpXr1iS1US4aywA27ejTRv4+rKtgw2kUgQG4tkztnU0F04by9YW69cjMRHHj7MtRe/4+ECpxJIlbOtoLpw2FoAvv4STE06dYluH3rGzg78/Tp7k62fnurGMjbFnD1qQuJ/HLFuG7t2xZAnKytiW0nS4ZSxjYzg7o05W4mHD8NVXcHaGfjcoYR8zM+zcifR0rF/PtpSmozEdNytYWqq/Bty6FTEx0FFSbT4xYQImTMCOHZgzh20pTYRbEUsTq1Zh7Fioe4DK8Nm5E2Ixli9nW0cT4YexvLxAUQgLw4sXbEvRO927Y9UqREfjl1/YltIU+GEsJydMnIjycnz9NdtS2GDZMjg4gJO7EGuEH8YCEBgIikJoKPLy2Jaid8Ri7NrFtogmYrRu3Tq2NTQKW1v89hvu34dYjNGj2VbDJDIZcnLg5oYePV4X9uwJpRI2NvjwQ7Rpw564RkMR/iT+unEDQ4agXTs8fQqplG01zBAZifbtMX482zpaDG+6QgCDB8PNDSUl+OYbtqUwQ2oqvvgC7u5Ql8mbZ/ApYgG4ehXDh8PcHE+fwsKCbTU6RanE++8jIQEzZ0LdJsM8g08RC8CwYXjvPRQXgzNpbHXGN98gIQG2tgYSj3kWsQDExsLVFVZWePIEtZ7H5jd//IH/+R/IZDh+nNN55BoPzyIWgNGjMWIECgrAma0IW4oqMdOcOQbiKvAxYgG4cAHjxqF9ezx5wo9rb+1s24bly2Fnh3v3DOdql38RC8DYsRg2DPn52LePbSkt5uHDmnR++/YZjqvAU2MBNZsGbN0KTmZIbSyqTnD+fH5kJ2w8fDWWuztcXJCTgwMH2JbSArZswZUr6NTJABdu8HKMRXPiBDw80LkzUlNhasq2mqbz4AEGDoRcjuhojBvHthpdw9eIBeCjjzBgADIzERHBtpSmU1WFOXNQUYGFCw3QVeC1sSiq5nHWTZvAu927g4Nx8ya6dTPATpCGx8YCMGUK+vVDRgZ++IFtKU3h/n1s3FizdNFQF/Lz21giEVasAIBNm+o+kM5ZFArF0qUVFRX49FOMHcu2Gsbgt7EAfPwx7O2RlobDh9mW0jg2b95886bDxIl/GmonWAOrKUl0A52LpndvovOMujrnzp07YrGYoqiYmBi2tTCLIRirqor07v1GPq3GUF5O0tL0ur2FQqFwdnYGsHjxYv2dlSV4PI9Vm/37sXAh+vbFvXsQNa57/+03DB5cc2xpCakUUqmaA6kUUullS0spTdsWLKhYu3bthg0bevTocffu3TYGcI9TKwZiLIUC/frB1RVbtzb2tvT165gxA0VFKCrS1kwiqaioMFP9amJiIq2FpcpxUuns2bOtrKw0vc/t27cHDx5cXV0dGxs7atSoxn4w3mIgxgIQEYHKSkyejNpfbn4+jh/H0KHo31/jCwmpsVdhYd2DoiJUVBRlZXkUFRUVFRUVFha+0pyf6o8//ujdu7faqsrKShcXl+TkZB8fnx0c32FRR3DrEfuW4O+PFy/w22/Yv/91YXo6Pv0U27drMxZFwdISlpbo1UttvRSIU/2iUChUJiuqRWFhoY2NjaZTrF+/Pjk5uWfPnhs2bGjGR+MlLI/xdIe1NRGLCUWRhITXhb//TgCyfTt7sghJSkoyMTERiUQJtZUZOryfx6qNqyt69cJnn0GhYFvKf5HL5XPmzFEoFL6+viNGjGBbjv4wKGOJxdi6FSkpHHoSf+3atffu3bO3tw8yyC3FNWNQxgIwaRLGjMGGDXjyhG0pwI0bN77++muRSLR//3565/a/DoYzeFcRGooBA/D55zh37nVhRAS++eaN2SlNx7pCLpfPnz+/urra39//3Xff1dn78gQDNFafPvjf/0VwMP7v/9C5c01hejru3GnUy+sYzt7+R4Xibp0pK/pY+2RpQEBASkqKg4MDX7Jj6BbDmceyscHQoTh5EgDKy+HoCGNjfP89hg/H9u2YMwfp6a9np2rPVNWevnr5su7bDh8+88qVg2rPaGxsXH+alD4uKCgIDg6mKOrKlSuDBg1i+KNzEQOMWABatcKOHfDweP3AND1T1SCqyVKV4WSyGePHv1V71kp1XFpampeXl6chr1L37t2nTZv213QVDNVYACZNwvjx+PHHpr1KNVlaiw+AD9Q2rqqqqj9Nqjpes2ZNZ1VP/NfDYI0FIDQUjo4oL2fq/Y2Nja2tra2trZk6AZ8xnOmGbt1Q555Kt24IDETPnjA3Z0nTXxjDGbwLcArDiVgCnEIwlgAjCMYSYATBWAKMIBhLgBEEYwkwgmAsAUYQjCXACIKxBBhBMJYAIwjGEmAEwVgCjCAYS4ARBGMJMIJgLAFGEIwlwAiCsQQY4f8BY60q2lNo1h4AAAEkelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAB4ov4GRzUEDSDOzsENoZhjN5pABphkRAhCFCBqqAKGSAcxgYmQwAClhYJTkAJKOJfm5fqU5ORoyDNpACUawBJDAkORmYExgYE1gYMtgYmRKYORIYGLOYGJmSWBhzWBi5VRgY09g58hg4uJkYONmEGFiA0qxMjCysjEwcrCLzwKZCvecxbK1+ySYHO1AnIWZ0/Zne7fvB7HzNjPv339V8gCI3ZtTbf/RXwHMjtr2wt7EZCFYTb7aFPvnezfZgtjq3xfu11Vfbw9ia8hpH/itEgVmW/eoH2CdrgpW36z23753+iqwuEN0vIPG4rlgdu27qP2Mr40dQGwxAJ03Qwf5W/H1AAABgHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2TS0sEMQyA7/srcha2NK+2OXjYh4jIzoK7ehVRUA968v9joq4dodiZQ5L58u6057en+8eXh9f31QLi3GyvXz/g99B24fb8z2tmcMc558UOQoD1xeXVBJvjan2ybPa30/EASIDsPv78ZVfH/e5kQdjAMidmQzXICVuTpi7kr9NdCSZYYsKqXkJIWYs1G5AcZE6KIlphSUkyl4oDUjx5TtYISQPULK2OQqqHxNSw5aKRm9QklwFYPKIXqVWI43OrVEdcjbY9TlFWdQ8ujRsPwBYgpVK5YgRq6sXWAWg/IFZjif6LeMxRbsxf3ZgxF47cTD7UEYhwBpykmYk4SIwqNALJwWUUp5QJyCeFhPNBwm51OJyTnjwupu2fa/B9Mdb7adsvhqcE6usPtfQdh1r7IsUJ7usK1fpSJBz67APXPmFXemSLND6j2bTEXdpsKOI+Nusdwzjz4CjNP8ybnbcW+ul/cXnxCXJKrXxoSzCCAAABJnpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF3QPW8CMQwG4L/SEVCI4q/EuZtY2q1irzrQiKFC5BClnfjx9cFyyej3ie3Im/cCtdSKpZTVB8rmc10AX+4r8qw5swOPBMJuBJ8zUbSACJPMAUhidMEHTZgizZGChui21iWZwY3BZ0VAcVv0EljVjdvgBZglzRkHiskyG5YE5sYgMWdL0EdImZw9jxzVNj+yRGleqWJTn40Y5fkte/QcryIY0KH9BhAfEVEGydYIqqzi1u5wm87763QZgv/5/bpM5XS8+bedlcf6932d6vlYb74eBlj4bm/l0mXAlrFh4IFap965de5dWpfeY+ux99R66l1b195z67n1OMDyfq/7ue4P2F8Quh33f7OnvXFHWkCzAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.563803</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>28.754427</td>\n",
+       "      <td>1</td>\n",
+       "      <td>188</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>AP</td>\n",
        "      <td>CNc1ncnc2[nH]ccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>ACK</td>\n",
        "      <td>Ack</td>\n",
        "      <td>TK</td>\n",
@@ -1207,9 +1415,9 @@
        "      <td></td>\n",
        "      <td>B</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>16 16 16 16 16 16 16 16 16 16 16 5 5 8 8 8 na ...</td>\n",
+       "      <td>14 14 14 14 14 14 14 14 14 16 14 5 5 4 4 4 na ...</td>\n",
        "      <td>[26*]c1[nH]c2ncnc(NC[54*])c2c1[37*]</td>\n",
-       "      <td>8</td>\n",
+       "      <td>11</td>\n",
        "      <td>[FP, SE, FP]</td>\n",
        "      <td>[AP=FP, AP=SE, AP=FP]</td>\n",
        "      <td>1</td>\n",
@@ -1221,16 +1429,16 @@
        "      <td>1</td>\n",
        "      <td>38.386371</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>3</th>\n",
        "      <td>AP</td>\n",
        "      <td>c1cnc2ccnn2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>ACTR2</td>\n",
        "      <td>STKR</td>\n",
        "      <td>TKL</td>\n",
@@ -1241,7 +1449,7 @@
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP SE GA</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 na na</td>\n",
        "      <td>[33*]c1cnc2c([46*])cnn2c1</td>\n",
-       "      <td>10</td>\n",
+       "      <td>11</td>\n",
        "      <td>[SE, GA]</td>\n",
        "      <td>[AP=SE, AP=GA]</td>\n",
        "      <td>1</td>\n",
@@ -1253,7 +1461,39 @@
        "      <td>1</td>\n",
        "      <td>39.622898</td>\n",
        "      <td>1</td>\n",
-       "      <td>152</td>\n",
+       "      <td>2870</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>AP</td>\n",
+       "      <td>Nc1cc(C2CC2)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>ACTR2</td>\n",
+       "      <td>STKR</td>\n",
+       "      <td>TKL</td>\n",
+       "      <td>3soc</td>\n",
+       "      <td>GVD</td>\n",
+       "      <td>A</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>15 15 15 15 15 15 15 15 14 14 14 14 14 14 14 5...</td>\n",
+       "      <td>[17*]Nc1cc(C2CC2)[nH]n1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.581756</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18.524861</td>\n",
+       "      <td>1</td>\n",
+       "      <td>454</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1270,7 +1510,7 @@
     }
    ],
    "source": [
-    "HTML(fragment_library[\"AP\"].head(3).to_html(notebook=True))\n",
+    "HTML(fragment_library[\"AP\"].head().to_html(notebook=True))\n",
     "# NBVAL_CHECK_OUTPUT"
    ]
   },
@@ -1278,47 +1518,251 @@
    "cell_type": "code",
    "execution_count": 24,
    "id": "3faadcb8-2f14-4682-a483-7ba4deee749b",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:41.549961Z",
+     "iopub.status.busy": "2024-05-13T08:55:41.549742Z",
+     "iopub.status.idle": "2024-05-13T08:55:41.635909Z",
+     "shell.execute_reply": "2024-05-13T08:55:41.635421Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>fragment ids</th>\n",
+       "      <th>fragment 1</th>\n",
+       "      <th>fragment 2</th>\n",
+       "      <th>pair</th>\n",
+       "      <th>child 1</th>\n",
+       "      <th>child 2</th>\n",
+       "      <th>plausibility</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[AP_0, FP_0]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999674</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>[AP_0, FP_0]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.997180</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>[AP_0, FP_1]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999986</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>[AP_0, FP_1]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999856</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>[AP_0, FP_1]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.997353</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "HTML(mol_df.to_html(notebook=True))\n",
+    "HTML(mol_df.head().to_html(notebook=True))\n",
     "# NBVAL_CHECK_OUTPUT"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "id": "2623b6c3-9471-4e1d-93f9-1488a285cf10",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "HTML(diff_df.head(3).to_html(notebook=True))\n",
-    "# NBVAL_CHECK_OUTPUT"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0baf9851-65ad-4b9f-b035-2b33d57fd625",
    "metadata": {
-    "tags": []
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:41.638223Z",
+     "iopub.status.busy": "2024-05-13T08:55:41.638026Z",
+     "iopub.status.idle": "2024-05-13T08:55:41.730118Z",
+     "shell.execute_reply": "2024-05-13T08:55:41.729592Z"
+    },
+    "metadata": {}
    },
-   "source": [
-    "## 4. Analyze accepted/ rejected fragments\n",
-    "\n",
-    "    4.1. Count number of accepted/rejected fragments\n",
-    "    \n",
-    "    4.2. Plot number of retrosynthetic routes found per fragment and subpocket\n",
-    "    \n",
-    "    4.3. Inspect fragments with no retrosynthetic routes found and with most retrosynthetic routes found\n",
-    "    \n",
-    "    4.4 Save custom filtered fragment library\n",
-    "    \n",
-    "        4.4.1. Add results from pairwise retrosynthesizability to the filtering results\n",
-    "        \n",
-    "        4.4.2. Save fragment_library_custom_filtered to data"
-   ]
-  },
-  {
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>fragment ids</th>\n",
+       "      <th>fragment 1</th>\n",
+       "      <th>fragment 2</th>\n",
+       "      <th>pair</th>\n",
+       "      <th>child 1</th>\n",
+       "      <th>child 2</th>\n",
+       "      <th>plausibility</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[AP_1, FP_170]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.786395</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>[AP_3, SE_6]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAQDklEQVR4nO3de1BU9xUH8LMPnlJYCCu6C4IErYqpOI4NGgxqoFVDMyZRk3RcUzpGZ0xdMuljbf9w0elYxzQza9RmYDo1qDM1+OqQVGtNNC1iFFGiqaNGIxFZeYq4yJvd0z/uyktEVvbc397N+fx597L3sPvde8/93Tv3p0JEYMzb1KILYP6Jg8VIcLAYCQ4WI8HBYiQ4WIwEB4uR4GAxEhwsRoKDxUhwsBgJDhYjwcFiJDhYjAQHi5HgYDESHCxGgoPFSHCwGAkOFiPBwWIkOFiMBAeLkeBgMRIcLEaCg8VIcLAYCQ4WI8HBYiQ4WIwEB4uR4GAxEhwsRoKDxUhwsBgJDhYjwcFiJDhYjAQHi5HgYDESHCxGgoPFSHCwGAkOFiPBwWIkOFiMBAeLkeBgMRIcLEaCg8VIcLAYCQ4WI8HBYiQ4WIwEB4uR4GAxEhwsRoKD9UinT5/evn37/fv3RReiSBysR9q0adPatWuNRmNOTk5lZaXochRGk5ubK7oGHxUSEmK3269du3bmzJkdO3ZcuXIlPj7eYDCIrkshkA3p3LlzJpMpICBA+rhmzJhRUFDQ1dUlui5fp0JEsclWhOrq6ry8vG3btjU2NgJAYmLiqlWrVq9erdPpRJfmq0QnW0mam5vz8vImTZokfXTh4eFms/nmzZui6/JFMgWrsrJSng3JwOl0Hjx4cM6cOVK8Ro0a5cjOxrNnRdflW+QIVkVFhUajee6554qKilwulwxblMf58+dNJtNb6ekIgAA4YwYWFCC3X4goT7AOHDgQFhYm/b6nTJmSn5/f1tYmw3ZlcusW/u53qNO54/X00/jBB9jcLLoswWQ6FN67d89ms40bN06Kl16vt1gsVVVV8mxdDs3NmJeHkya54xUejmYzfo/bL1mbd6fTWVRUNGvWLClegYGBJpPp4sWLctZAy+nEoiLMyHDHS63GrCwsKRm42jffoM2GFgv+6U9YWiqiUHJizgrLyspMJpNWq5US5n/tF54/jyYTBgQM0n5t2oRaLaamYnY2vvACBgTgihXY3S26Yi8TOdxw/fr1tWvX9rRfkydP/nzXLmxtFViSl0ntV2SkO167d+PRowiAe/b0rvPllxgYiO+9J65KEuLHsfq2X2eSk1GvR4sF/az92rYNZ8/GtjbMysLU1IErrFyJ8fECCqMkPliSzs7Of+3fjzNnun/cQUGYnY0XLoiuy9vGjMHf/Gbgwt27EQBra0UURMVX7m4ICAj46auvQmkplJWByQROJ+zcCdOmQVoa7NsHTqfoAr3k3j2IiRm4UFpy96785dDxlWD1mjEDdu2Cb74BiwV0OigpgWXLYNIk2LoVWlsHWd/lgpoaqKkBRVz0DA+H+vqBC+vqAAD87LKj6F3mkBwOtNkwPt59fIyIQLMZb91yv9rdjevXY3S0+9XRo/GPf0SnU2jFj7NwIaanD1z4q1+h0SigGEq+HSxJVxfu3Ys//nFv+/XOO4iIb72FUVH4979jXR3W1OCuXfiDH+DataLLHdKhQwiAhw/3Lrl6FUNDceNGcTWRUEKwepSVocmEWi3+4Q946RKqVLhzZ78Vtm9HtRqvXxdT3jDl5GBAAC5Zgrm5+ItfYHg4LlqE7e2iy/IyBd6PVVEBYWGwezesWwctLfDgFjwAgLY2CAuDbdtgzRpx9Q3DyZPwj39AVRVER0NmJrz0EqhUomvyMq3oAjw3fjwAQFUVxMb2SxUAhIRATAz4/v3paWmQlgZHj8L585Cc7H+pAkUGS6JWQ3f3IMu7u0GrkH/qr3+F/fth/HhIShJdivf53nDDMCUkQHU1tLf3W9jcDA0NkJAgpiRPGY0AAHa76DpIKDZYixaBywU7d/ZbmJ8PWi0sXCioJg/5dbAUctR4WGIivPMOWCwQGAiZmYAIR47A+vVgsbi/MN8XGwvAwfJBf/4zGAywcSOsXAkAkJAAW7bA22+LLmvY/HqPpcDhhoc5HOB0gloNERGiS/HEt99CUhIkJEBFhehSvE+xPVZfxcUQHQ0rVoiuw0NGI6hUYLeDyyW6FO/zi2Dp9eByKe+YEhwMkZHQ1QUNDaJL8T6/CJbUrFRVia7Dc/7bZvlFsMaMAY0G6uuhs1N0KR7iYPk0jQZiYtw3ZikLB8vXKfQb8t+hLA6WUAotexj8JVgK/ekbDADgfPhmZeXzl2Ap86d/NS5OHxqa4o8DpEq+pNOXMoP1lMHQ0NrarcSBksfhPZZITz31VHBwcFNTU0tLi+havMy/gqW0n75KpRo7diwA3L59W3QtXuZfwVLg1xMbGwsAdqXtax/LX4IVFgbh4dDWBo2NokvxjNFoBIAqpe1rH8tfmneAUwsW3KypmV1dHR8VJboWD0jB4j2W77I2Nv78v/+9fOuW6EI8o9BglZeX79ixY4gV/CdYCm1WFBcsRNy6deusWbNycnJOnTr1qNX851CouG9IoqyyGxoasrOzP/30UwAwmUwpKSmPWpODJZiCdrQnTpwwmUx2uz0iIiI/P3/ZsmVDrOw/h0KFBstgMKjV6urqaqcPPwOsu7s7Nzc3MzPTbrenpqaWl5cPnSrwv2Ap7rw9ICAgOjra6XTW1taKrmVwlZWVc+fO3bBhAwBYrdaTJ0+Ol55yMCR/C5bi9lgAoNfrAaC8vFx0IYM4cOBASkpKSUlJXFzciRMncnNzNRrNsP5S8NNuvMfpdAYEBKhUKgVNe+FyuWw2m1arNRqNGo0mKyvr1KlTootya21tNZvNUkgWL158584dj/7cf4KFiHFxcQBw48YN0YUMS01NzYIFCwBApVIlJyf3PPX++eefP3TokFPoownbvvpq6pQpABASEvLhhx8+wTv4VbBSU1MBoLi4WHQhj/fZZ59Jl5+jo6OLiooQ8fbt21arNerBZYPExMTNmzffvXtX7spcLszLw9DQw+npkydPvvCkD672q2AtWbIEAPbu3Su6kKF0dXVZrVa1Wg0A8+bNGzChkOApEevr8Wc/kx7J6Xz77dYRTObgV8HKyckBgPfff190IY9UUVExe/ZsANBqtVartfsRM51Ikw5lZGRI8VKr1XK0X8ePo9HofojwiH+cfhWsLVu2AMC7774rupDB7du3T5rqd9y4ccM8XpeWlr7xxhs9M1JnvvCC6+BB7z8ZuqsLrVbUaBAAU1PRG02q/wTL6XS+9tprYWFhUVFRNputpaVFdEW9+p5hvfLKK42NjR79eXV1tdR+rZwzBwEwMRE3b0ZvtV83b2JaGgKgRoMWC3Z2euVd/SRYt2/flg4cPT9uvV6/fv36mpoa0aXhuXPnJk6cKJ1h2Wy2J36f5ubm2vx8fPpp92PJdTr87W9xhHMiHzjgnkMqLg7/858RvVV//hCsY8eOjRkzRgrTJ5984jtTIkrDVEFBQQCQnJzsnTKGOSXiY7W2otnsfpPFi7GhwQu19aHsYHV2dvacYc2fP99ut/e8JHxKxLq6uhdffFHauslk8v6heYgpEfvq7sbycjx2DP/3v97m7NIlfOYZBMDgYLTZkOBjUXCwbty4IQ1cSWdYg44o3rhxw2Kx6B5MUzNhwgR52q/PP//cYDD0HaaiUl2NVitGRbnjNX58v/Zr/34cOxa1WjQaUa3GhAT8978REQ8fRpUKJ0/Gr74iqkupwSooKJBm0IyPjy953IFAmhIxPj6+p/2im5G67zDV3LlzZZr3WpoSMSmpd9Khs2fxiy9QrcbcXPfcog4HrlmDQUHuMBUWks45OlSwDh48ePXqVbptPxmHw7F8+XIpIkuWLBn+2LQ0OCQNI/W0X088sjyo7777bjjDVFR62q+YGGxrw/nzcfbsfit0deGECfj66zLU8shgORwOnU6nVqszMjJ8Z8Lms2fPJiUljfAM6+H2q7CwcOQh2LdvX2RkpEfDVFTq6rCjAwMD8eGx4nXrcPRoGUp4ZLBqa2tXrVoVEhIiffopKSkFBQUdHR0y1DQ4l6tyxw5pNGH69Okj35UOaL+SkpKeuP3qO0z18ssve3ojAInqagTAwsKBy//yF1SpBunxve0xPVZ9ff3mzZul22cBICYmxmq11tfXU5c1UG0tLlyIAHlpaWazud17c2U5HI6+7VdERITZbL7VMyXiMHz99ddTp04FgODg4JEMU3nZnTsIMHB2NETcsgW1WorTwAGG1bx3dHQUFhbOnDlT+vSDgoJMJtOlS5eoi3M7cgRjYhAA9XrXP/9JsYWH26+lS5eeOXNm6L/qO0w1ZcoUUaNlj6TX47p1Axf+8peYnCzDxj07KywuLl66dKl0D6FKpSJvv6RrWGo1AuC8edhnmIrI8Nuv+vr6rKwswmGqkVuzBvV6dDh6l9jtGBqKGzbIsPEnGW64fPly3/Yr+6WXsKAAvd5+VVTgrFkIgFotWq1yzsn72Pbr+PHj0jBVRETExx9/LFthnqmrw4QEnD4d9+zBkhL8299w4kT80Y/w/n0ZNv7k41hNTU02my02NnZfaioCYEwMWq3orfarsBB1OgTA+Hg8edI77+mhQduvioqKnmGq9PR0j7oxAWpr0WzGH/4QIyNx6lT8/e+xqUmeLY90gLS9vb37o49w2jT30FxoKK5ejVeuPPk7OhxoMrnf7dVX0cMbAbyuq6tr7969zz77rBQv6Sip1Wo3bNgg9zCVonhv5L24GJcudd/To1JhRgYWFXl89lFWhhMmIACGhKDvnGEh4oP2a9GiRfPnz1fE3c9iefuSzrVraDZjaKh7lzNtGublDXLp4OpV/OgjzMvDI0d6X/3gAwwMRABMScHLl71cmJfwXmqYaK4VNjWhzYaxse54jR7d2361t+Obb6JGg8nJmJ6OkZFoMOAXXyAi5uWhSoWrVpFew2LyoLwI3dGBfduv8HC8dw9//WvU6bCszL1OezuaTKjTuYcSSksJ62EykuXuBqn9Wr4c79/H0FDcuLHfq42NGBGBublyVMLkIuNEmE4nfPklzJkDp0/Dg5MstwULABGOHpWpEkZPxmc3aDRw5w6AezqGfgwG8MfZGb7P5H0oyKhRAAB37w5cfvcuhIXJWgkjJm+wkpNBpYILF/otdLng4kV45hlZK2HE5A3W2LGQmQnvvQft7b0L9+yBigp4801ZK2HEZJ/F/ttvIT0d9Hp4/XXQ66G0FHbuBIsFNm6UtQxGTPZgAcCdO7B9O5w8CS0tkJgIK1bAT34idw2MmIhgse8B/3lUJPMpHCxGgoPFSHCwGAkOFiPBwWIkOFiMBAeLkeBgMRIcLEaCg8VIcLAYCQ4WI8HBYiQ4WIwEB4uR4GAxEhwsRoKDxUhwsBgJDhYjwcFiJDhYjAQHi5HgYDESHCxGgoPFSHCwGAkOFiPBwWIkOFiMBAeLkeBgMRIcLEaCg8VIcLAYCQ4WI8HBYiQ4WIwEB4uR4GAxEhwsRoKDxUhwsBgJDhYjwcFiJDhYjAQHi5HgYDESHCxGgoPFSHCwGAkOFiPBwWIkOFiMBAeLkeBgMRIcLEbi/77Gu6Yo/kRHAAAA3npUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQABuIOYC4gZGNoYEIM3IzMGgAKSZIFxmqDATnI8ijaYag8vNwMjAyMTAxMzAzMLAwsrAysbAws7AzsHAxMnAycUgwiDeB1IHd0yrcqvDAVX5vSDO+pU2DsfeZ+8HsQ/eOmnPo7RgH4ht0LDLzoJ9Jlh80o2G/Rv0xcDsxZx8B3rF9oDZn46mHojyiwGzq8Wm7q9ak24PYve4Kx2Ye/QgmH1jzlb7SU+ngdk27S62n648AbPFAAUqNTjPdsGPAAABUHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1SW04DMQz831P4Ao3sPPz4bLsVQqi7EhTuwD/3F/ZWJS1EJGvJiSezzkwmiPE6v3x+wc/I8zQB4D+fmcFHQcTpDJHA4fT0vMDxsj/cdo7r+3J5AyIghG0+YveX9XzbIThCTcTYlGGHCYtqq+DJNvrRDCvkZFW0SQAtE2cZAIszUmrCphrAQlkYB8DqQC9zzc1gR4mstVIGwOZAryMyowWl98rcBkj2Jnc5ZbJSNM5UturZX6QEZ0nNMON2H3UJhAZIDU7vjqtU87phNeEB0IIyp1Yak4QEVLSO7uOurF6vpOqMTi2qOvo10SYRVjGvUxKVaw+/gadlfnD16vNhXebuc8zc3fQFlO4ZedTuDHm0rj95cBeZPKQrGVXtcpGHdVGCme7vvj1Lovve7zuN9e01ez59A8X8l4DNTZFhAAAAq3pUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nB2Oyw3FMAgEW3nHRMIIMF/56ALSUIp/OBKH1Wo0y372tff17Pu733uNiVYkDIMwnSwY1hAUrqkwGNVLtStGIvcPs3R3g0U4XcXqYFxmExajhVcdarKEwxIsjfTTlLBLwFLkHvogmpl2/D3EHaFNkZlHThqVdKrICPt+YNdOrSKtY+9PbZpLQ8YzFe73D7f1LhK8QHVbAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>[AP_3, SE_11]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAX40lEQVR4nO2deVRU1xnAvxmGRZAdDCCg4oZg3JEibhhSTUBsFNRqcEkNevQUeqxITmuDsUmkoimctHo0pygmVkPiwhKXRuMuFolLIAoKlEVAQDbZB2a+/nFxnIyAM/DuzIjf7/iH787l3W/0x333vXvfd0WICAQhNGJdB0D0T0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILFeOdra2lpaWni3QmK9QtTW1kZEREyZMsXDw2Pt2rUVFRUcG0PiFaCjo2P37t02NjYAIJFIDAwMAMDKymrHjh2tra08WiSx+j8ZGRne3t6sH/Hz88vOzs7JyQkJCWElLi4uiYmJcrlc2EZJrP5MeXl5WFiYWCwGAGdn58TEROVPz549O378eKbX1KlTr1y5ImDTJFb/pL29PS4uztLSEgCMjIzCw8MbGhqeryaTyRITEx0cHABAJBKFhIQUFBQIEgCJ1Q+5dCnf09OTdUVBQUH5+fk9129sbIyJiRk4cKDCwrq6uj7GQGL1K0pLMTQUTU1x8OBpI0aMSEtLU6mQlpaWlJTU5c8+fPhQcd20tbWNi4trb2/vdSQkVj+htRU/+QTNzBAAzczw88+LVW738vLy2IDdxsamqqqqu/NkZmbOnDmT9Xbu7u6pqam9i4fE6g+cPYtjxiAAAmBgIBYW/uLT5ubm6OhoExMTADAzM4uOjm5ra+v5hCkpKcOHD2d6+fv737lzR9OQSKyXm/x8DAnpVGr0aDx9WrVCSkrK0KFD2dg8NDT00aNHap5ZKpXu3bvXzs4OAMRicWhoaHl5ufqBkVgvARUV+M03qBjw5OTgrVvY3IzR0Whi0nnti45GlW7o7l0MCzvFep1JkyZdu3atF01XV1dHRUUZGxsrervm5mZ1fpDEegk4dw4BMDa28zA2FteuxSFDEABFIly5ElW6ksZGjI5GY2McOFA+erRfXFxcR0dHXwLIzc1VPFB1dnbeu3evTCbr+Ud6EuvRo0cvvBgTWuDcOZw4EZ2dOwdPsbH4hz/g/Pk4YQKqPNSUy/HLL9HREQHQwADXrcPqasEeqf/www8TJ05kenl5eV26dKmHyt2KtW7dOgMDg17fFBACcu4czpmD8fE4fz7iU7FqalClG7p9G6dP7xxvTZmC168LH4lMJktISHBycgIADw+PLh+6Mrpd3eDs7CyTyZKSkno/v00Iyvr1UFQEJ050Hlpbg4HBs09TU2HyZLhyBRwc4MAByMiAp9ODQiIWi1evXn3//v2AgIC7d+9GRkZ2W7O7D5YuXQoAJ06caG1tFT5AQnMkEti9G/74R2hr6+JTf38YNgzCwyEnB1auBJGIYyRmZmYLFiwAAJlM1l2dbsUaPnz4pEmTGhoazpw5wyU6QnN8fWHWLNi3r4uPBgyArCyIjwdLS21Ewhbe9EYsAFi8eDEAfP3114KHRfSa2Fhobu76IxMT7YXRV7FEIlFKSkpTU5PwoRFqM3YsfPhh599tbeHUKVi5UtsxBAcH29jYZGZmssM+iTVs2DAvL6+mpqbTp08LGyWhEYMGwaxZcPYs2NjAokUwZQpMmKDtGMrLy2tra6VSKTvsk1jw9GpI94b6gEwGtbXQ2Kib1lVMEkAskUiUlpbWqKsvRDxFIgEA6P6/ki8Ci+Xi4uLj49Pc3Pzdd98JF6Qw5OXlVVdX6zoK7cGeWulWrI6ODuXDHsSSvPCMq3/722BE7ytXYMkSgYLsK9XV1e+++259fX16erqjo+Pkp3h7ew8aNEjX0fFCt2JJJBLQpMd6sVhrFi2CiAi4dQs++QQsLASKs/e0tLQEBQVdu3bN3t5+4MCB5eXlaWlpaWlp7NOhQ4dOVsLW1la30QqIPvRYQooFjo7g6wuXL0NqKixfLkyYvUUul4eGhl67ds3Z2Tk9Pd3Z2bmsrOzHp1y9erWwsLCwsPDo0aNPY+8//Vm/EwsAliyBy5chKUnnYm3cuPHo0aOWlpYnT550dnYGACcnJycnp/nz57MKKp6p9GcvtWf9UazgYIiIgNOnobYWrK0FCLNXfPbZZ/Hx8UZGRkePHn399de7rNOPPXu5xFJ7oZ+fHwLggQPCLL/QnKSkJLFYLBKJvvzyy16fpLS0NCUlJTo6OjAw0PqXvyEODg737t0TMGDBuXMHAXDcON20rpjfY4cXL14EgBkzZnRXX70eCwAWL4bz5yEpSQezCQD//e9/V61aJZfLY2Nj3333XVZYWVlpaWnJVs2qiXJ/JpPJcnNzWWd248aNO3fuTJgwoaKiwlI7s7iao1c9lspNYheoa2xVFUokaGiI1dV9118jHjx4YG9vDwBr165VFD558mTChAk+Pj49vMmkEbNnzwYAlZfQ9Yrc3FIfn5Df/CZCJ62z32fF5eL69esA4O3t3V19tdMY2dmBnx+0tz9baaYVqqqq3nrrraqqqsDAwH/+85+ssL29PSQk5Pbt28wqQRrS/8krkagpPf2b7GzdPKkW+Mn7L1i8GABAi6tompubg4KC8vLyvLy8jhw5wr4MIq5du/bMmTP29vanTp1inVnfCQ4Olkgk//nPf2pqagQ5oeC8eLysxdYFFeudd8DQEC5ehIaGPsWoHjKZbNmyZdevX3dzc0tNTTUzM2PlW7du3b9/v6mpaUpKyogRI4Rqzt7efvbs2e3t7cnJyUKdU1j6r1i2tvDtt1BUBI2NwD/XYERERHJysq2t7alTp1577TVWmJCQsG3bNgMDg3//+9+/+tWv+tjEpUuXwsPDm58unNPzq+GLx8s84fa4gbFnD7q44LRpOHo0zpiBRUW9Hw32yMcffwwAAwYMuHr1qqLw3LlzRkZGAPCPf/xDkFaYmopb6JqaGiMjI4lEUllZKcj5haW8vBwAHBwcdNL6hg0blP/l7927BwDu7u7d1dekx7p5E7ZtgwsX4OpVyMmBWbM4TUsfOXLkL3/5i1gs/uqrr6ZNm8YKs7KyFi5cKJVK//znP7Mv2XeWLFkCSl2UtbW1n59fR0fHCe3eoKjJy3Up1KTH2rABt2x5dtjaiubmgnda58+fZ4+m4uPjFYUPHz5kEzhLly4VMKlhWVmZWCw2MTGpr69nJQkJCQDg7+8vVBMCwtYI2djY6KT15ubmmpqalpYWdpifnw8Abm5u3dXXRKyAAFR5zDN2LF64gGlpmJuLQvx/Z2dnW1lZAUBkZKSisL6+fty4cQAwe/ZswTOxTp8+HQAOHTrEDmtra42MjAwMDNRPnqE16urqAMDS0lLXgSAiFhYWAsCQIUO6q6DJpdDCQvV+8MkTGDAA3nkHRo8GS0uYPh0iIuDgQfj5Z5DLNTgzAACUlZW9/fbbdXV1ixcvjomJYYVSqXThwoU//fSTp6fn8ePHNXrOrg4qA3YrK6s333xTJpMdO3ZM2Ib6jm4vhSoIein829/wnXeeHd67hzY2mJ+PCxags3Pnq92KP5aW6OeHmzbh4cOPHzx44fWLPUkHgBkzZij6W7ZIBgCcnJyK+NwolJeXGxgYGBsbK5IjJiYmAsDs2bN5NNcX2N2riYmJrgNBRGS/io6Ojt1V0ESsmhp0c8PNmzEzE9PS0NMT//73Z5/W1uLlyxgXh6Gh6OGhLNlUT09zc3NfX9/w8PDExMTs7GyVXCVSqfTXv/41AIwZM6Zaacpo8+bNAGBubn7r1i0N4tQQNplz8OBBdlhfX29iYiIWi0tLS/k12gsOHDhga2tramoaGBiYl5enqzCKioqCg4NZp9VDaiQNHzdUVuK2bRgcjGvX4okTPdUsL8e0NPzoI/mCBSOe5oZTYGlp6efnt2nTpsOHD+fm5q5atYrp/7///U9xgr179wKAoaHhmTNnNAtSQ3bv3g0AAQEBihL2/vjnn3/OtV2N2Llzp0gkAgA2GDA2No6MjKytrdVmDFKpNC4ujuXANTU1jY6O7mHIq6X8WGwh1EcffRQUFDR48GAVz4yMjMzMzDIzMxX1U1NTDQwMRCKRFmaFKysrJRKJoaGhorM8dOgQ9LgmRJvI5fLo6GgAEIlEu3btKi0tDQsLY0McGxubmJgY7aSa+v7778eMGcP+vwIDAwtV0lE+h24Sryl7Zm1tbWhouHDhQuUKBQUF7u7uf/3rX7UTj7+/PwAkJCSww4aGhgEDBohEIk4DO/Xp6OgICwsDAIlEoggPEX/88Ud2BQeAUaNGdZcIWRAUWXEBYPTo0WpeQHSf0S89PR2eZk1SLn/y5InWYti3bx8AzJs3T1GycOFCAPi78iBS67S1tbGbVlNT0+++++75Ct9//70in/ucOXMEH4kqZ8W1tLTUqHfUvVhyuZxlXxV2yw2NeH4yh6VC8fHx0VVIjY2N7IbGysrq8uXL3VWTSqXx8fHsZSSxWPynP2WXlQkTwDffoJ9fJlu1u2rVKk0f7OleLETctGkTAISHh+swhnnz5gHAvn372GFTU5OZmZlIJFK+n9Aa1dXVPj4+AODg4KDcD1VVVXW5Z0RNTU1UVJS7+28MDdHUFKOisPtUey/m7l18443Oe/rly3f0LiuuXoiVkZHB/hH7mIO1Lzw/mcMuQ7GKnLLaoqysjL0qMmzYsPv37yvKS0tLx44d6+Pj09jY2OUP5uW1L1zYKYSzMx48iC/KQKuKIisuAFpbY1ycajZK9dELsRCRray6cOGCrgJ4fjLn22+/BQAvLy9thnHv3j1XV1cA8PT0fPjwoXK5i4sLAIwfP76ioqKHM1y/jtOmdeo1eTKq+S8ql2NSErq4IACKxRgain1c4aEvYn3wwQcAsH79eh3GEBAQAAC7d+9mhy0tLRYWFgCgtaeRmZmZbEGst7f348ePX1jeHcySoUOf7VXx4EFP9W/dEj4rrr6IdfPmTQCwt7fvy8ZAfeTgwYMqkznLli0DgJiYGC20fv78eeZxQEBAU1NTl+VqJu9nNDdjTAxaWCAAGhpiWBgePow2Nvjjj50Vtm/HLVtw/Xo0MEAAdHDAxERB1hIg6o9YiOju7g4A586d01UAdXV1/v7+e/fuVZSwhVmTJk3i3XRycjK7q1+2bJlUKlUOgJUvX75cuVx9qqowPLxTne3b0ckJvbw6R07R0RgZiY6OKJFgeDj2eSe5X6BHYm3ZsgUAwsLCdB3IM1pbW9lrhmfPnuXXSmJiIlt2vGHDBuWHed2V94Lbt/HTTzE5GRcswAULkK0DjY7GLVvwzBnMzu7jN+gCPRLrp59+AgA7OzsdXg1VkMlkI0aMYGsMLSwsephH7zVxcXFsEjAqKkqd8r7AxMrLw9dew7KyTrE4oUdiIaKHhwcA8J51Vp+IiAj24JttbquMtbX1G2+8sXnz5q+//rp3o3u5XB4VFcUmAT/77DPlcrasQyQSCfvon4mFiFu34vLlr5JYbLb1d7/7na4DQUTcuXMnmyBnwz7lvA+Ojo4qnmnan3V0dLz//vvs/IcPH1YuX7NmDSs/cuSIsN9IIVZLC44ciXPnvjJisXc/rK2tdb451AtzkGjkmco6x7a2NrakydTU9OTJk4ry1tZWVm5mZnbq1CnBv5RCLEQ8cwYBXhmxEHHs2LEA0OWcq9a4dOkSuxfbuXOnmj+ivmcZGRmKSUDl6dGGhoY333yT/V4pv/QmINeu4YcfPjvcuBH37+fRDqIeirVt2zYAWLlypa4C6DIHiab07JlIJHJ0dMzKylLUr66u9vb2BgBHR8de7JOrPsnJOGsW/utf/FroRO/Eys3NZb/iipXv2qSyspJNLgUGBgo4cansGXt+sX37duUKb7/9NgCMHDmS95x3ZCQC4NatXBtB1EOxEJG9VZGSkqLldpuamti70V5eXt1N9PYdtjx19OjRygP8goKCwMDAnicBBWHOHARALexCqY9iffrpp+xZszYb7ejoYEvd3dzcuP4Hd3R0uLm5AcDx48f5tdIlcjlaWSEACrVmqwf0Uaz8/HyRSGRubq7R1FgfYa/t29nZ5ebm8m4rLi4OAKZOncq7IRUePEAAdHLSRlv6KBYiTpkyBQCOHTumUr5+/fq+PJPsji5zkPCjqanJzs4OtL5o9sgRBOjc/5c3eirWjh07AGDp0qXKhVKp1ERpTz6h5lgOHz4sEonEYvHRo0eFiF0t2MToAsVjJa2gtZE76q1YxcXFIpHI1NRUeRAtlUp7uIe3srLqxRxLlzlItEBFRQV7Eejnn3/WWqNaG7mj3oqFiOy5Tg8vNvX8rEjZs+7u4bvMQaI11q1bBwBr1qzRTnPaHLmjPou1a9cuAJg7d66aGWZ68GzWrFld1meLgBcvXizUUgWNyM/PZ2kjtPMuvzZH7qjPYhUXF7u6ug4YMEAikXh4eISGhsbFxV2+fFnNW0Vlzz7++GOVT7vMQaJ9Fi1aBAAffPCBFtrS5sgd9VksRHz8+LGnpyd7nVyBoaHhxIkT16xZs2fPnoyMjF5kzOouB4n2Ya8nWVhYdPlSl7Boc+SOei4Wo62tLTs7OzExMTw83NfXl6UhVaBpfyaXy7vMQaIrZs6cqdFsd6/R5sgdXwqxVOijZ+w+39TU9LogL6P0mdTUVAAYPHgw15VCWh65I6IIBdrZQVdIpdIHDx4otvi6ceOGYqd1AJBIJKNGjVJs8ZWVlbV+/XoDA4Njx44FBQXpMGwFiDhu3Dj2q7JixQpOreTlwciR4OQEpaWcWngOLQmsLRobG69cuRIfH79ixYrnx2cst9MXX3yh6zB/wf79+wFg7NixAubtVUHLI3fsBz1WzzQ1Nd2+fVvRnwUGBg4fPpytCdYf2tvbhw8fXlJScvLkybfeeqsvp2prgy6ztG7eDLGxsHUrREf35fQaoPa2ci8nZmZmvr6+vr6+ug6kJwwNDX//+99v3rw5NjZWHbFaW1uLi6G42KSkBIqKoLgYiouhpASKi2HjRvjkky5+pL4eDA1h0iThg++Oft5jvSw0NDS4urrW1dWlp6crb+Vy8+bNgoKCkpKSoqKi4uLikpKS4uLiyspKX9/8q1fdnj/P++/Dvn3PDi9ehNZWmDsXAKCtDY4fB39/sLPj/nUA+t0Y6+WFvfIVEhKiXMhWeahgbGy8aNFlPz9csQI//BC/+AJPn8a7d1HpvfxOVq9GY2NUbBw7bhwqpePkC/VY+kJZWdmwYcNkMllOTo5iV7OoqKj79+8PGTLE1dXV1dXVxcXF1dXVwcGBvcv6Qt57DyoroakJfvgBRCIYPx4SEmDyZJ5fQ4GWBCbUYPXq1SBQyh25HBsbcfVq3L8fZ87s3FGEeqxXlJycHE9PTyMjo8LCQsVOej3T2gplZVBQAGVlUF4OBQWdfy8qgqAgMDGBmTNh8mSYNw+yssDPT3s9Vj+/K3y5cHd3DwgISE1N3bNnz9atWxXlcrn80aNHhYWFbPBeUlJSVladn3+opASqq7s925MnwJZFvv46LF0KSufTBiSWfhEZGZmamrpr167m5uZHjx6xm8HS0tL29naVmpaWX9XXi4yNYfBgcHQEJydwcwM3t86/jxoF5ubw3nudlbduhXHjtLMzbickln4xY8YMf3//hw8fxsbGKpc7OjqywbuLiwsbyw8Z0ubsbDJokFqnNTeHmBhYupRLzF1CYyx95Pjx41lZWUwgJlPvtj27cQPs7WHo0M7D5GSYOROsrQWMtFtILIILmuxXSBBqQ2IRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVw4f/oWlEJ7W2mHAAAAWF6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAQSAWBuIGRjaGBCDNyMzBoAGkmZnYHMA0C5tDBohmZkRiwGTQVLBDBJhhNDataEpx28LNwMjAyKTAxJzBxMySwMKawcTKpsDGnsDOkcHEwZnAyZXAxZ3BxM2TwMObwcTLl8DKn8AvkMEkwJTAx5bBxMeZIMLMxiTAz8rCzMrOxsfJwcbFzcPLxyl+DeRLuPdzezcfKLW7YQ/i/NRZckC3uNMOxN5innVgxofLe0Ds2GtaByKf9oDV2GbM3D+90A/MvnHGfP+eQNn9ILbyHgf766sywOylPRvsBVIFD4DYHvPNHfos2MDs/lIvB5tIBbCalKY+hyV5fGC71r/vdQg5dRFs5j4tDweDZ+IOIDaP+Wv7dxfPgsXvNr61fx921xbEllx5a/+vu/fA5pwu8z6QY7gTzBYDAPVCW8QL8katAAABw3pUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2UQY7bMAxF9z4FLzACSVEUuZwkg6IoxgHatHfovvdHSRupFECoFTGy/CRT/B/eIK/vt2+//8C/i2/bBoD/+bk7/KqIuH1CDuDy8eXrDtfH++U5c73/3B8/gDqQx5por+z74/75nCG4wlsrSoQkQEXNBRWw4HGNpQz3BKmieEwXVpPWF2DNHWvR5toQ3gLgZp0XpCTJRdVrzXcTYhdfgC3BeO4mLvHcUIVpAWqCWDp1V8+RkjS2BdmDDDAedkrQ0Wx5HAuQSu3Ozpkt5+Z1ATrswMXU0XuC8ce4OjZhkLWQVuF2JMladUmmOlKkVaHMjWpsLiuQT7C2hpYqVnNbnYZSnXg3d0WPdGs/kliAEklSsdo1fVQUj5IuwHYUyFprnL4hNOwrA5GeKnY0tnaMhGipN/XTQ1Fpik0DFVFbKv6x3178fDr8ct9vw+HZePg4bqAOt0r2YclsbRgvbkCHvSh6Hx6S6DacItF9+EGi0yy7ZCCa5JUMxJOOkoHqJJhkIJmUkQzUJgkkc9Op1JKB+lRRyTD2zWxj4SD8nKCX0s6FzPvnZybG219mxeIwlLhmpQAAAOJ6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJwdkMkNQjEMRFvhCFK+5X3RP1IAReROBRSPnUtiPWdm7Lw/m/bez2vzlm9X3z75tTc9fs/LwImQFoFnKa27CQlqLQT2VItGAm7lti4EZMsgb8jgXiKtJMSwJl1VHmWiK48ZQlCU10id1DjX3azvoGGFmRNBkGYmLSVMDD9EwnkGw6h+IkAcTotBQpTXraBidkaXrDrAptMmUlh6NC4qJ51d2u5mSK/OZsAKnhyJ4hrAM+vZIzAHdaFEdn6gWySDVD15vX5/9SlHbrhmiPgAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999914</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>[AP_3, SE_12]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAYo0lEQVR4nO2de1RTV9bAd0JAkIdCiVYUQRzxSWul1lbW+GiZ2nbQmX4t2oqho62Z8RU7aptlO220aqW2stJx1Vk4jjVLcVqcNdbY1k6pomK1BdRW8IGIFREVEFDeEJL9/XHSgJiEPO5JAuzf8h9zT87ZJL/ce+7Z+94rQkQgCKERuzsAomdCYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+CCxN0BWGT7drh8GQID4a23QCTqvHXjRrh7F5Ytg8GD3REc0RUij32AQHw8HDoEALBjB8yf33lreDhcvw55eRAb6/rQiK7pBofCVaugstLdQRB24ulijR0L1dWgVLo7DsJOPF2sN96AkBDYuROOHXN3KIQ9eLpYwcGwZg0gglwOLS3ujoawGU8XCwAWL4aYGCgshNRUd4dC2Ew3EMvLCz7+GEQiWLcOrlxxdzSEbXQDsQBg+nR4+WVoaoKlS90dCmEb3UMsAEhNhf794eBB0GrdHQphA91GrIEDYe1aAIAVK2gW3w3wOLEQLS6HLlkC48dDcTF88sk97W/fdk1ohB14llinT8PUqfD006DXm9nq5QVbt4JYDBs2QEOD8cU9eyAyEtasod2YZ+EpYpWXw2uvwcSJkJ0NN29CcbH5Zk88AQsWQHU11NQYXzl2DBoaYO1aiImBAwdcFi/RFehuWltRrcZ+/RAAvb1RocA7dxARn3oKAXD//s7tq6owNBQBEADz8hARv/sOY2KMrzz1FJ496+o/gbgfN4uVmYljxhidiI/Hc+faN1kSCxG3bbtHLETU6TAtzSicRIJyOVZUuCJ+whJuE+viRXzuOaMf0dH45ZedGxQWYl4e1tSYea9ej3l5mJeHDQ33vF5VhQoFSiQIgCEhqFajTscrfsI6bhCruhqVSvTxQQAMDsaUFGxpEbL/CxfwmWeMyo4ahV9/LWTnhI24VCy9HjUaHDAAAVAsRpkMy8t5jaXVYlSUUa+EBLx8mddAnkZBQYFKpRo7duy+ffvOdZxbuBbXiXX4MD70kPGbnj4df/6Z+4gtLahWY1BQ+2nB3bvcB3ULBoPh5MmTq1atGjZsmOm0TCwWx8TENDY2uiUkV4h17RrKZEalwsNRo3HBmO3cuIFyOYrFCICDBmFaGur1Lg2AH3q9Pjs7W6FQDBkyxORTaGioTCbLyMgYNWoUACxZssQtsfEVq74eVSr09UUA9PdHlQqbmrgOaJG8PIyLM8odG4vZ2e4JQxDa2tqYT4MGDTL5NHToUIVCkZ2drf/1d5Ofn+/n5wcA+/btc32QvMQyGDAjA4cORQAUiTAxEUtKOA1lX0gREe0hXb3q5pDsorm5OTMzU6FQDBgwwOTTsGHDmE8Gg+H+t6jVagAIDg4ucfmnz0WsEydOTJ+uY7uHxx/HH3/kMYiD1Nfj22+370T//vcsd81CbKSpqUmr1cpksn79+pl8GjNmjFKpzO5qx2swGGbNmgUAv/3tb9va2lwTMENgscrKyuRyuVgsnjp1f1iYIxMa1/z5paUok2FYWEnfvn2HDBmi0WjM/uLdSENDA/MpMDCwo08qler8+fO291NZWRkWFgYA7733Hr9o70cwsRobG9etW+fv7w8Avr6+7767rr7e7k60Whw+3BUnjIzs7J8efvhh9p1NnTr1zJkzLhrYMtXV1RqNJjExkX2SHX0qLCx0rM8jR454eXlJJJLjx48LG60VhBFLq9WaTnQTEhKuXLlibw+5uTh5snFy7crzGL1er9FoBg4cyM7PZTLZrVu3XDf8r9y+fVuj0SQkJPj4+JgWC+Li4tRq9fXr153vf/Xq1QAQHh5eVVXlfG+24KxYZ86cmTJlCvssRo8e/c0339jbQ2UlKhTo5YUAGBqKarWLjoYdqampUSqVffr0AYCAgACVStXc3OyCcSsqKphP3t7e7DP08vJiPt24cUPAgXQ63RNPPAEAL7zwgoDdWsFxsW7fvq1QKLy8vAAgJCRErVbbOz1kdQ2es4B56dKlhIQE9gWPGDEiIyOD00AlJSVqtTouLk4sNpYt9enTJz4+Xq1Wl3PLRZSUlAQHBwPAtm3bOA3REUfEam1tVavV7CTF29tboVDUmM0VW4VNp0x1DfbMR/mSmZk5duxY9n3Hx8fn5+cL1fOVK1eYT6Jfb3Li6+ubkJCg0WjusFIhzmRkZLBBz/IvLbJbrE6fe0FBgb09XLiAzz5rVGrkSPzqK3s74E5ra2taWlpoaCj75cjl8srKSod7KygoSElJiYuLM03G+/bty3yqra0VMGxbmD9/PgCMGzeO9yKLHWIVFhaajhTR0dEHDhywd7Dq6vayluBgTy9rqaqqcuZYz5LBo0ePNvkUHBzMki31DpwwW8ZgMOTk5CiVys2bN3fZuL6+nqV6li1bJmAM92OTWB3ntv37909JSbF3bssK8aTS7leId/78+RkzZth+dsJ8io6ONvn0wAMPyGQyrVbbImh5kF6vz8vLU6lUI0aMYANFRkbashp39uxZX19fkUj0xRdfCBhPJ7oQi52NsxyCw2fj33777axZH5imU/YfPN2PVquNiooyracUFxd33GpKBg/ucBs4qVTKfGptbRUwkra2tkOHDi1evLhjojA8PHz58uVHjx61cZk3NTUVOKd6rImVlZXVcf3wp59+srf3oqIillIAgD/84TLPXwh3Wlpa1Go1Wwf38fFRKBTV1dW2JIMFwZR4fvDBB01jRUREWEkUWsFgMMycORMApkyZwinVY1Gs06dPm3awe/futbff+vp6lUrFjp7+/v4qlarJXYUNgnL9+vV58+ax0zo2u2eMHDly9erVeaYifIFgiUK5XC6VSk1jRUVFOeZTRyoqKtjvYf369QIGbMKiWJMmTQoICHjrrbfsFcJgMGg0GvbDEolEMpns5s2bTsfpWZw8eTIsLCwoKCg8PNyWZLC9NDY2skRhUFCQySeW2BHQ3aysLJbq+f7774Xq04RFsdi8yt4ZVU5ODlvhBYCJEyeeOHHC6Qg9lOTkZADYuXOngH2aEs8BAQGdfLpw4YKAA5lQKpXAJ9UjmFjXr1+XyWTsGDF48GAPrBcQFgHFYonnhIQENnNg50mxsbEqlaqoqMj5/q1gSvW8+OKLwvYsgFiNjY0pKSnsR+bn56dUKl2/7ud6nBfLlHi+P1EoSOLZRoqLi9kBd/v27QJ266xYWq02MjLSdB7uQF1DN8VhsUpLS9PS0hISEiQSSSef3DUZ/fzzz9k5ll2VXtZxSiyVSsU+mkceeeTYsWNCxdQtsFesq1evmk0UpqWlVXjAYvErr7wCgqZ6nBKrtLQ0PDzcgbqGHoCNYhUXF3fyyc/PjyUK73rSxWj19fUjR44EgOXLlwvSobOHwl6oFMMWsbZu3Wo6uevXr19SUtJ///tfjy2xP3XqlI+Pj0gk2m/2hhl24uxtjFiOljBLfHx8SEgIS+yUl5fv3r37+eefZ5dkeSATJkzYuHEjIr766qs3btxwsjfPfUhTD2DEiBEVFRXd6Lf317/+9ciRIwcOHJg7d+6hQ4ecidxTbrzWU+lGVgGASCT617/+NWjQoKNHj37wwQfOdEViEfcglUr37NkjFotVKtWJEycc7ofEIjozbdq0VatWtbW1vfTSSzWme3LaCYlFmGHDhg2PP/54aWmpXC53rAcSizCDRCJJT08PCgr6z3/+s2PHDgd6ILEI80RFRf3zn/8EAIVCcfHiRXvfTmIRFpk9e3ZycnJDQ8Ps2bObm5vtei+JRVhj69atI0eOzM/PZxfp2w6JRVjD398/PT3dx8fn448/1trzfCwSi+iC2NjYDRs2IOJrr71me6qHxCK6ZuXKlQkJCZWVlXPnztWbfc7RfZBYRNd0TPV8+OGHtryFxCJsYsCAATt37hSLxe+8887Jkye7bE9iOciAAa9PnLjf1/cpdwfiOp5++ukVK1a0tbXNmzfv7t271huTWA5SUfFIbu6s5uYhXTftQbz//vuTJk26cuXKwoULrbcksQg78Pb2ZqmevXv37ty500pLEou4h7KyMoVCUV9fb6nB8OHDt2zZAgBLly61kuohsYh2DAaDTCbbsmXLqlWrrDRLTk5+4YUXmpqajh8/bqkNiUW0s3HjxqysrAEDBqxZs8ZKM4PBUF1dbTAYamtrLbUhsQgjubm5a9euFYlEO3bs6HizpPv58MMPs7KypFLpyy+/bKkNiUUAANy9e3fOnDk6ne6NN974/e9/b6VlXl7eu+++y/zreGOwTpBYBADAokWLfvnll9jY2HXr1llpVl9fn5SU1NraumLFCtMNac1CYhGwffv2f//73wEBAXv27DE9GsMsixYtunTp0oQJE95//33rfZJYvZ2ioqIVK1YAwD/+8Y+O9+S9H41Gs3v3bn9//y79AxKrl9PS0jJnzpy6urrk5OR58+ZZaVlcXKxQKADgk08+YXd5sA6J1at58803z5w5Y1rztIROp0tKSqqtrZ09eza7L02XkFi9l4MHD27ZssWUpbHScvXq1T/++KPp8gpbILF6KeXl5fPnz0dElle20vJ///tfamqqRCLZvXu3df86QmL1RgwGWLo0pby8fMaMGStXrrTSsqKi4k9/+hMirl+/3nTbYlugu830RjZtgm+/TZ0xY6RG87zpjnD3g4gLFiy4desWu+jeriFIrF5Hbi6oVKDTiZYt+8vAgdZafvTRR1999ZVUKk1PT7f3tjl0KOxd1NdDUhK0tsKqVWA1cwOnTp3629/+xqrd2ePK7YLE6l385S9QVASxsbB+vbVmptTN66+/zp66Yy8kVi/i008hPR0CAiA9HayvnC9evLiwsDAmJqbL1I0lSKzewuXLsHw5AMDWrWB95TwjI2PXrl3+/v4ZGRm+vr6ODUdi9Qp0OkhKgro6mD0bZDJrLS9fhh07Ir29+27ZsoU9i9Ux6KzQQWbPhtGjITbW3XHYhlIJOTkwfDhYXznX6WDuXMjNfWzJkmvz5z/g1JCW7tPt2NO/ejCVlVhcjL/8Yn5rWRkWF2NdnUtDspGDB1EkQm9vPHmyi5ZvvIEAOHQoVlc7OyiJZStyObKnD5t9yPq0aQiAn33m8rC6orwcH3wQAXDTpi5aHj6MYjFKJCjIswAFmGPt2rXLytVCPY+lS6Ghwd1B2IbBAPPmwa1bMG0aWM3cQGUlJCWBwQDvvQf2ZG4s4qxYhw8fTk5Ojo6O3rZtm8FgECAiz8bfH0pKYMMGd8dhGx99BJmZIJXCnj0gtvxVI8KCBXDzJkydCm++KczQzorVv3//SZMm3bx5889//vPkyZN/+OEHQcLyWBYtAn9/2LwZzp93dyg2oNeDtzdoNGD5ogcAgNRU+PJLCA2FPXtAsAceWDpG2j7HMhgMGRkZQ4cOBQCRSJSYmHj16lUBjtIeBptjbd6M77yDADhlCnZ8gqzHzrG6/CpOnUIfHxSJUIhHM7UjwByLyXThwgX22Pq9e/eOGTNmzZo19t4OtbuwejVERMCxY2D13gWeQkSEta0NDTB3LrS2gkIBs2YJOrAl4xw7K7x27ZrpydBDhgzpSU+GNu2xEPGzzxAAQ0Px9m3jVo/dY1nnlVcQAMeNQ8GfdWdRrMTExODg4Dlz5jjwPNmsrKyHH36YiTt16tSffvrJuSA9go5iIeIzzyAALlhg/G93FOvzzxEA/f1RuAf2tmNRrDNnzrBLfIKCgjZt2tTS0mJXv3q9XqPRsN2eWCyWyWTl5eVOR+tOOol18aJxavL994jdUKziYgwKQgAU9BHj7VgUCxGLiooSExPZjuc3v/lNRkaGvb3X1NQolco+ffoAQP/+/VNSUpqbm52I1p10EgsR33oLAXDCBNTr28X67jv8v//D9HT0pAfzdkanwyeeQAB88UVeQ1gTi/Hdd9/FxMQwvZ588smzZ8/aO0ZhYaHpcuzo6OgDZpeuPZ77xWpowMhIBMBPP20X69VXjQv0ffpgfDyq1eiBe2qlEgEwPByrqngN0bVYiKjT6dLS0qRSKQBIJBK5XO7Ag9czMzPHjh3L9IqPjy8oKLA/Wjewfz++9hqiObEQ8YsvEAAHD8aJE41iVVaiRoMJCejtbTTMywvj4lCtxhs33PIXdCYrC728UCIxHsQ5YZNYjKqqKoVCIZFIACA4OFitVut0OrsGa21tVavV/fr1AwBvb2+FQlFTU2NnwK6joAB/9zujHF9/bV4sRJw509im0xyrqspomI+PcatYbDSstNSVf8c9VFTgoEEIgOvX8x3IDrEYFy5cePbZZ9mOZ9SoUV9//bW9Pdy+fVuhULDi/JCQELVa3dbWZm8nXKmuRqXSKERwMKakYEuLRbFKStDf34xYJmpqUKPBxMT2ZgA4ZgyqVFhY6IK/ph2DwfgzmDIFeX/kdovF0Gq1w4cPZ3olJCRcvnzZ3h5Onz49ZcoU1sP48eOPHj3qWCTCotejRoNSqXEHI5Oh6ZhvSSxEXLfOmlgmGhpQq0WZDAMDOxvG44T/flJTjT+VkhLuYzkoFv56XGOXxrLj2l37T4S0Wu2wYcNMgl65csXheJzn8GF86CHj9z19Ov788z1bd+1CuRwzM828sbkZly1DuRxzc20aqKnJaFi/fvcYplRidrYAf4gl9u/H0FCBUzeWcFwsxo0bN+RyuVgsBoBBgwalpaXZe1xrbGxMSUkJDAwEAD8/P6VSWVtb62RU9lJSgjKZ8QsOD0eNxkXjtrVhdjYqFDhwYLthkZGoUGB2NvLIWbhsEcRZsRh5eXlxcXFsxxMbG5tt/++urKzMlAsKCwtLS0vT6/WCxGad+npUqdDX17gGrVJhU5MLhu2MyTA2s2b/hg5FhQIzM22aD/3xjxgcjIMHY1mZma0xMRgcjKdPCx64RYQRC3+tcYiIiAAnahxycnJMNwiYOHHi9zxPiA0G1GiM1ZUiESYm4rVr/EazFb0es7NRqcThw9sNCw1FmQy1WmxttfjG+Hhj4zlzzGwdOhQBMCeHX+CdEUwsRkNDg0ql8vPzA4C+ffuqVKpGO9ObBoNBo9Gwu/YyQa9x+MJzcoxLzwA4caIwxbiCU1CAKhVGR7cbFhJiNOz+BBsTSyJBADx4sPPWbi8Wo7S01Mkah9raWlMuKDAwMCUlRagqibIylMlQJEIADAvDtDR0ySHXKZhhY8a0G9a/PyYmokaD9fXGNkyshQsRACMi2l9n9BCxGEeOHBk/fjw7rk2aNOmHH36wt4eSkhKZTAYAs2bNcj6exkZMSTGe6vv5oVKJLj9JcJaCAly7tv3UFQADA/Gll/DuXaNY+/bhk08iAL799j1v7FFi4a81DgMHDjTVODhw2U9mZmZRUZGTkWRk6CIijF9GYmLXdZUezi+/oFqNcXEoEmFkJBoM7WKdO4cSCfr44Llz7e17mliMuro6VlwKAAEBASqVypU1Dmwldtq0DQA4fjx6xkKsYFy9ikeOIGK7WIi4ZAkC4NSp7QsWPVMsxqVLl0xFOCNGjHCgCMdeysvLFy5cyNbYIiOjtm/XeVjqSEg6inXnjnHZYudO49aeLBYjMzNz3LhxphqH/Px8HqPcn+2+c+cOj4E8h45iIaJGgwAolRqvae75YiFia2trWlpaaGioqQinsrJSwP67aX2Ok3QSy2AwlogtX47YS8RisCIcYWscekZFoWN0EgsR8/PR2xu9vfH8+d4kFuP8+fMzZsxgKowePfqbb75xrB9WA82K9Lt7DbRj3C8WIq5ciQA4c2bvE4uh1WqjoqJMNQ7FxcW2v7fnXbXhGGbFqqvDIUMQwFjO2uvEQsSWlha1Ws1qHHx8fGwswul4ndm0adN6xnVmjmFWLETMyGhfTe2NYjHKyspMRTjWaxzYlbFMqR52ZaxjWBILEZ97rteLxcjNzZ08eTKT5tFHHz1+/HjHrSzPze6NyfLcTW6pdPEwFi3C2FjMyjKz6dIlfPRRjI29Zy2eN54oFpq70UhJSYnZF90dKWEeDxWLUVdXt3r1arZz8vf3N1XZP/bYYye7vO0h4VY8WiyG6UYjMTExrPrZNcWlhDOIEBG6A/n5+QEBAVKpNCAgwN2xEF3TbcQiuhf0AAGCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFc+H/uSpKLetZ9KwAAALt6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAATiDmAuIGRjaHDCDNzIxgsDtogBlsEJoFtwqESqgENwNjAiNTBhMTcwIzSwYTC2sCK1sGExt7AjtHAgdDBhM7c4IIExsDBzszEyMrCzM7G6t4GVAnI9xZrH3CBxgYHPaDOFC2PYitebUBKHYAzH54bKodTJyX5479uZDZYHZ+sZoDkFqGJL4fSf1+JHPAbDEANHAo+vbcRt8AAAEMelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfVJBjsMgDLzzCn8AZMCGcGySalWtSqRt2j/03v9rTatAI7VARjLOxPGMUVDW3/x7f0BdblYKADtPSgluHhHVGUoA4/HnlGFaD+OWmZZrXi+QwCI89556WJfzlrEwgXbGIzN50GgiS2n5xCC+go3pdswO0UMGbSUdGBmsYfxCJKmIxiXHvluQhWdNtMnaQQJnPTv+wAvCcyYgxhSKFPz24ygd1oK6U3EQYu2wZ04q5lTNuiP6mOfdAF4jGZc8t5GQwDXfSeCbu1TQPCybm1VygNAcIUFsukkwNHUkSE0DlStT28Dna3pv/L3Nct4uncTqH9GUhi/yngcLAAAAdXpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF3NQQqAMAwEwK94VEhDNjFq6XNy7wv6eGvBCl5CwrCbQFStEdEHlrYmZRP3nZLw6VQSWORwUF/6KaxZ3exl8IkMfVRhblSUD5GL5LNJM/yrHs3z8cCt3RY+H/ZXzKZcAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999415</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>[AP_3, SE_14]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAXBUlEQVR4nO2de1BTd/bATyAICIoFfKEg+MIHbVVEW3F9DKy6a8atdbFTJbq2s+g6nYiiTXfdn2mt1ridHYN1oWhbza7YirvbbqzCLKJuUdcRWnVFLBZUVKjKWx5CIDm/P770ipLEJNxvCOR8xn/k3nu+J+TDfZzvufdKEBEIQmzcujsBondCYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSKxeQmQkhIXB5cuml8bHQ1gYHD7suHykjhuK4ElpKVRVQUuL6aU//gi3bsHDh47Lh/ZYBBdILIILJBbBBRKL4AKdvPcqiovBy8vEzxsaHJ0JidWrWL68uzP4CRKrV7F4MQwcaOLnX38N5eUOzYTE6lW88w5Mm2bi5zExjhaLTt4JLpBYBBdILIILPUas5ubm5ubm7s6CsJYeIFZra2tycnJISMiSJUtiY2OvXLnS3RkRz8bZxTp69OjEiRMTExMrKipOnTqVk5MzZcqUdevW1dTUdHdqzsWIERAaCp6eppcOHQqhodC/vwMTQmfl+++//+Uvf8mSDA8P//rrr6uqqhQKhVQqBQB/f3+NRtPa2trdaRKmcUaxqqurlUplnz59AOC5555Tq9UtLS3C0mvXri1YsIAJN27cuOPHj3djqs7Dvn2oVOLWrWgwmFi6YwcqlXjnjuPycS6xDAaDVqsdNGgQALi5ucnl8vv375tcU6fTjRo1iuklk8mKi4sdnKqzERuLAAiAqakmloaEIABeuOC4fJxIrJMnT77wwgvMlblz516+fNny+nq9XqPR9O/fHwA8PDwUCkVdXZ1jUnVCBLH698eysqeXuqhYt2/flsvlTKng4GCtVmv9tuXl5QkJCW5ubgAwdOjQtLQ0g8mDQW+HifXCCwiAy5Y9vdTlxGpoaFCpVF5eXgDg4+OjUqkePXpkR5z8/Pzo6GimZmRkZG5uruipOjlMLK0WBw5EAMzOfmKpC4llNBozMjKCg4MBQCKRxMXFlZaWdj3giBEjhIC3bt0SK1vnh4n15ZeYloYAOHo0dvwLdRWxLly4MGPGDLaDiYqKOnv2rFiRGxsbVSqVt7c3APTt21elUjU1NYkV3JkRxDIYcOpUBECV6vHS3i9WWVmZcEoUFBTE6ZTozp07crlcIpEAwPDhw7VardFoFH0Up0IQCxHPnEGJBD09saiofWlvFqupqUmtVvfr1w8A+vTpo1AoHj58yHXE06dPT5o0ie0Xp0+ffv78ea7DdS8dxULEVasQAGNi2v/ba8XS6XRhYWFC2enGjRuOGZcVxgYPHiwUxu7du+eYoR2D0Yg//ojYSazKSgwMRAA8cgSxV4p18eLFWbNmMaXGjx+flZXVxYDXrl2zdZOamhqlUunp6QkAvr6+KpWqubm5i2l0LwYD5uaiUomjRuHkyYidxELE1FQEwOBgbGzsXWJVVlYqFAp3d3dhaq+tra2LMUtKSjw9Pa0pn3bm+vXrcXFxTPExY8ZkZGR0MRnH09qK//43rl6Ngwe3l0MBMDQUa2tNiGUw4LRpCIAffNBbxGI1cT8/P6EmXlNTI0rkY8eO+fv7A4BUKn3rrbeqqqpsjZCdnT1x4kSmF2vCESUxrjQ3Y3Y2KhRP+6RQYG4ussuSzmIhYn4+urujnx8+91zPF+upb66goEDc+JanqK1Br9enpaUFBgYy7xMSEioqKsRNUhQePUKdDuVy9PN77NOECahUYucCsEmxEHHt2sfb9lSxioqKZDIZU2rs2LFHjx4VMfhTPNVUc+zYMVsjsCYccY/UotDY2O5Tv35P+KRSYWGh2a3MiVVXh0OH9lixOp4dDxgwQK1WO+bsODs7e/z48cLesdDCL94MhYWF8+fPF/Hawm6qq1Grxbg49PF52iehHGUBc2IholbbA8Xq3Oji4Ov5zj0OtbW1tgbR6XQjR44UqiElJSU8UjVJZSVqtSiTYZ8+7V+/mxtGR6NGY1v71PXrmJ+PJk9ljUb89lvMz8eGBrGyfjZdEuvUqVMvvvgi+z5mz5596dIlsdKylYqKCuG4FhAQYMdxraWlRaPROKx+e/fu3Y8++mjhwtcFnzw8cN48TEtDMx1oInDzJs6di475luwUizW6ONucybfffjtz5kwm+pQpU7755htbI/CecSotLdVoNNHR0WwIAJg2rSo2FjUajj4JKBTth9fGRu5j2SwWm+VljS5slte+Rhd+6HS60NBQ4bh28+ZNWyPk5eUJc+RTp07t+hx5UVHRBx98EBkZKdxq0Ldv3yVLlhw6dKiuju+8VkcePWpv2Fq9mvtYNojF+lJCQkKcvy+lsbFRrVb7+vqyr1CpVNbX19sUofOHtaOrp6CgQK1WC41iLBmZTKbVannPk5pPCb29EQA//5zvQNaKlZeX17GT7syZM1zTEoWOPQ7Dhg2z43ht3+65oKBApVIJl6us3iaXyzMyMhocef5shj17EAAHDEDbd+U28Gyxenrv7/nz51966aWfTmim/fe//7U1gpWd08ynsWPHCj4FBATI5XKdTmdrCZc3r7yCADhzJvK7fc6SWOxCiV3JswulHnq3gig9DidPnhQugefMmcMugQ0GQ25urkKhGDZsmODTwIEDmU96vZ7DpxGB6ur22cOOzYDiYlaswsJCodHl1VdfdWRphxP19fUqlYpVcVl/va1V3La2tpSUlICAAABwd3efMWMGK+AxQkNDk5KSzp071yP26N98g+7u6OaGOTlc4psVa/v27f7+/mPHjs3MzOQycjfR9R4HNs0glUpZw35YWJhCocjNzXWGgotN/N//IQAOH46VleIHNysW+1ss63yLWq/gxIkTERERTK+YmBg7ehwWL14MANu2beORnmNobcXoaATAxYvFD/6Mh4KwWnbvIyYm5uLFi6zHIScnZ/LkyatXr66srLQ+AqvRDx8+nFuO3JFK4fPPwd8fvvwSUlNFDu7sT5vhh1QqTUhIKCoqUigUALB3797w8PDk5OS2trbuTs1xBAfD3r0AABs2mH3Bk324rlgMf3//5OTkK1euLFiwoLq6OjEx8fnnn8/KyuruvBzHkiXw299CczMsWwZNTaKFdXWxGOPGjcvMzPz73/8eFhb2/fffJyUlGY3G7k7KcezeDc8/D4WFsHGjaDFJrMcsWbKksLBw+/btycnJwiSxK+DlBYcOgbc3pKaK9k5DF/r1WYOXl9cf/vCH2NjY7k7E0UREwM6dAABr1kBpqQgB7Rfrxo0bV69epQfO9hreegt+9SuorQW5HAyGrkazX6zXXnstIiKCHjXba5BI4JNPYNgwyM0FtVrfxWh0KCQeExgIf/sbREaeSkkZferUqa6EIrGIJ5g7FxYsyCkvv7NixYqqqiq745BYxNO8++67M2bMuHv3bkJCgt1BSCziaaRS6RdffOHv7//Pf/4zLS3NviAkFmGC4OBgplRiYuL//vc/OyKQWIRpfv3rX7/55pvNzc3Lli179OiRrZuTWIRZkpOTx48ff/Xq1U2bNtm6LYlFmMXHxycjI8Pb2/svf/nLV199ZdO2JBZhiYiIiB07dgDAG2+8cfv2bes3JLGIZ6BQKBYtWlRTUxMfH2+weq6HxCKegUQi+fTTT4OCgnJzc9neyxpILOLZBAYGHjp0yN3d/b333jt79qw1m5BYhFXMnj377bffbmtre/3116urq5+5PolFWMvWrVtffvnlO3fuWDPVQ2IR1iKVStPT0/38/P7xj3988sknllcmsQgbCAsL27dvHwCsW7fu2rVrFtYksYgnMBgMlk/P4+LifvOb3zQ1NS1dutTCVA+JRTzBtm3bfvazn6nVagvrfPTRR+Hh4QUFBbt27TK3DolFPObMmTPvv/++RCKZOnWqhdV8fX1jYmK8vb2FVy13RsohPaJHUltby2rrmzdvtnyfUl5e3r59+wwGA3t0j0loj0W0s2bNmtLS0qioKJVKZWG1urq61157rbW1ddOmTT//+c/NrUZiEQAAH3/88eHDh/38/A4fPuzh4WFhzbVr1968eXPq1Klbt261sBqJRUBhYWFSUhIApKSkCE/bM8mnn3566NAhX1/f9PR09jojc5BYrg7rEW1qanrzzTeXLVtmYc3i4uL169cDQGpqasdHrZqExHJ1kpKSLl++PHr0aAu1AwBoaWlZunRpfX39ypUr4+PjnxmWxHJpjh07lpqa6unpmZGRwR4lZw6lUnnx4sVRo0bt3r3bmsgklutSVla2cuVKRNy5c+fkyZMtrJmZmbl7924PD4/09HT2FO1nQmK5KEajkd3r/Itf/II909Ac9+/fX7VqFSLu2LFj+vTpVsYnsVyU999//+TJk4MHD96/fz97eYdJjEZjfHz8/fv358+fv2HDBuvjk1iuyIULcPz4W4MHTzp48CB7r4I5du7ceeLEiUGDBh04cMCCf52hKR2Xo7YWli6F0tKALVsuxMZaqoXm5eW9++67Eonks88+GzJkiE2j0B7L5fjd76C0FKKi4I9/tGRVQ0PD8uXL9Xr9xo0bFy5caOsoJJZrsXcvfPEF+PpCejpYnLmBNWvW/PDDD5GRkdu2bbNjIBLLhbh2DdavBwBIS4MxYyytuX///vT0dGumbsxBYrkKLS3tT3J/4w2wOHMDxcXF69atA4CUlJTw8HD7hiOxXIVNm+DSJRg9GjQaS6u1tMDGjX+tr6+Pj48X3tJoB3RV6BJkZsKePeDpCYcPg8WZG/j97yEzc+urr05LSZndlRHtFysqKqpfv35WFviJbqSsDFasAETYsQOmTLG0ZlYWaDQglcKmTTLL/j0T+8VKSUnp0siEQzAaYeVKqKyEBQsgMdHSmg8ewKpVgAjbt8NP7zq2HzrHeprm5mY7HmDntOzYATk5MGgQ7N8PFirnRiPEx8O9ezBvHiQliTAuifUER48enThx4vbt27s7EXHIy4P33gM3Nzh4ECxXzj/8ELKzYeBAOHAARHmNEInVzuXLl+fOnbto0aIbN26cOHHC+gdBOTPbt0NrK2zcCOZvegAAyM+HLVtAIoHPPoOhQ8UZmsSC6urqdevWRUZGnj592t/fX6PRnD17tne8WvbwYfjwQ7BcOW9ogOXLQa+HDRtAJhNvbHPv9GXvhL537574rwt2GvR6PXt7LwB4eHgkJCRUVFRYue2KFSsA4MCBA1wzdADx8QiAU6ZgS4uYYV23jnXixInExMSrV68CQGxs7K5du4TXj7sOWi0cPAg+PnDoENg1c2Mec8axPdaRI0fE1Ng5uH79elxcHPv4Y8aMycjIsDVCVVXVhAkTAGD27NlZWVl6vZ5HnrwpLsb+/REAeex2zYp17tw5qVQKAK+88kpxcbH4I3cHNTU1SqWS3Rju6+urUqmam5ttitDa2rpnz56AgAAAGDhwILNzwIABcXFxWq22oaGBU+aio9fj9OkIgEuXcolvViy9Xq/RaFhh3cPDQ6FQ1NXVcUnBIRgMBq1Wy7ol3dzc5HK5HaePOTk5wmMw5s6de+zYMY1GEx0dLez++/btK5PJtFrtw4cPeXwKEUlKQgAcORI5fatmxWKUl5cnJCSwS6TAwECNRtPW1sYlEZ6cPn160qRJ7LufPn36+fPnbY1QXFwsHD2Dg4O1Wm3HpTdv3mSGCc27Xl5ezLDa2lrxPodoZGWhRIJSKZ47x2uIZ4jFyM/PnzlzJvuVTZkyJTc3l1c6YnPnzh25XM6+7+HDh2u1WqPRaFOEhoYGlUrl5eUFAD4+PiqV6tGjR+ZWLi0t1Wg0sbGx7CwCANzd3aOjozUajfNcX9+/j0OGIACq1RxHsUosRDQajRkZGSNGjGC/L5lMduvWLY55dZnGxkaVSuXt7c2OUCqVqqmpyaYIRqNRq9WyXm+JRBIXF3f79m0rt62oqNBqtTKZTHjAhmBYeXm57Z9GNIxGXLgQAXDOHOR67LFWLEZjY6Narfb19WXfllKprK+v55SZ3XT8G2BC2PE3cOHChZdffpk5ERUVdc7eY0ZVVRUzTOjDdHNzi46OVqvV3XJJ9Kc/IQAOHIhlZXwHsk0sRtePL/zIz88XzqYjIyPtOGrfvXtX+HRBQUFifbrq6mqtVrto0SJ2VGXSv/TSSx9/nH/jRtfDW0V+PvbpgxIJ6nTcx7JHLMb58+eF+2LtOyMWF3ad4ebmBgBDhw5NS0szGAw2RWhqalKr1ewRBt7e3kqlksfFXWNjo06nk8vl/fr1k0gkQUGlADhhAqpUePWq6KM9waZNCICJiXxHYdgvFop0Dd91RKmM6HQ64dFQMpnsBv/dSFNT07/+lb18Ofr5IUD7v4kTccsWvHyZ16BHjqCNlTs76ZJYjPr6epVK1ZWqY1fQ6XSjRo0ShLDjxOW7776bNWsWizB58uT//Oc/PPK0QFsb5uaiQoGDBz82LDQUFQrMzUUrj8O7dmFCAq5fj62tJpa+8w4mJODNm6LmbRERxGJ0fZ7EVq5du7ZgwQI24rhx444fP25rhMrKSoVCwap0AQEB3V6lEwwbOvSxYcHBqFBgdrZpYwRiY9vX//OfTSwNCUEAvHCBU+ImEE0sRnZ2tjCVGxMTc+XKFXHjM6qqqhQKBasVsUaXVsu/9U6wo6efn59w9HSqSqbBgLm5qFTiqFGPDQsMRLkcdTo0OTMpiNW3r4k9U48XCxFbW1uFXhSpVGpTL4odwR88eGBrkOzs7IkTJzL7Y2NjCwoKxEqPBwUFqFJhePhjw/z92w3r2OjCxIqKQgBcvPjpIL1BLAbbqbCjjH07FZMI7waaN2/eVdsvooqKioTHEIwdO/bo0aNdT8lhfPcdbt6M48Y9NmzAAFyxAr/6CvX6drHS0zEoCAGeLij0HrEYhYWF8+fPF06DMjMzuxhQr9fLZDKd7XUY1tfAqpQDBgxQq9Ut4ja2OZCSEtRoMDoaJZL2Y19jY7tYX36JWi0CYEgIdixd9zaxGDqdbuTIkcKFW0lJiQMGFWA1EdZexmoi9+/fd2QC/PjhB1SrcfNmRHwsltGIM2ciAL799uM1e6dYiNjS0iKUmvr06eOwJpxTp069+OKLzOk5c+ZcunTJAYN2C4JYiJifj+7uKJWi8HF7rViMsrKyLhbHref27dvCowc6N7r0PjqKhYhr1yIARke3l8F6uViMvLw8YTpv6tSpZ86cETc+62tgU3Ksr8FCo0uv4Smx6urai2F//Suii4iFPzUghISECA0IpaWlThu2R/CUWIh44AAC4JAhWFfnMmIxxN215OXlzZgxg9+O0MnpLJbRiLNmIQBu2eJiYjE6ngzZ14TT8dQtKCiI66mb09JZLES8cgU9PNDHp32e27XEYth3+cYuNlmjiyMvNp0Qk2LhTzdNsH+uKBbaXnDq3vKYs2FOrMZGHDHCtcVidC6Rd27C6VjQHz9+fFZWVrek6lSYEwsRMzJIrJ8oKiqS/fSEio6Tep2nIHvi7Wg8KC/HkhI0d8PsjRtYUuKgFj+Gk4rF6NiGEBMTo1KpODVNEKLj1GLhk41T7O6g2NhYTm1ehIhIEBGcngcPHiQnJ0dERPTv39+O128QjqdniEX0OOiJfgQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsGF/wcbyK57JegQdgAAAMF6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAATiDmAuIGRjaHDCDNzIyVoQFisLA7WIBoRma4DDtEhhmmAi7BzcCYwcTIlMDEnMHEzJLAwprAypbBxMaewM6RwcTBkMDOnCDCxMbAwc7MxMjKwszOxipeBtTJCHcXa5/wAQYGh/0gDpRtD2JrXm0Aih0Asx8em2oHE+fluWN/LmQ2mJ1frOYApJYhie9HUr8fyRwwWwwAS8kpC7Kz1P8AAAEHelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfVJBjsMgDLzzCn8gyIAN4dgkVVVVJVI3u3/Ye/+vmlapE6kFMpJxJhOPjYG6btPl/w7v5SdjALDx5JzhLyCiuUINYDiezgXG5TCsmXH+LcsPZHAIz72nHpb5umYcjNB5G5CZAnRoE4u0fGIRX8HK9Dtmgxgq0Uk6MjI4y/iFSEJE67Pn0BRkKCKTXHaul8C7wJ4/8KLoeRsRU47VCn77cdoKdg3Fflthqzl557lrmD6WaTeA10iGuUw6EhJ47TsJgnaXKrSHdbO2Sg4QtSMkSOqbBL26I0FWD1SvzLsMfL6mbeHbMut5vXQSmwfBS4YkGe8zDwAAAHp6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxdzMEJgEAMRNFWPCokIZOYVbEBexBPuVuBxbuCrODx85hJZKbt53bkmZborp5NXCNGYpUpaG39JkS1BAhSS8UWC/cXIRMWWDWDh9NqUlRn0o+4Wdvy75mf6+G6Aa9HIOvKGNPQAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999660</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "HTML(diff_df.head().to_html(notebook=True))\n",
+    "# NBVAL_CHECK_OUTPUT"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0baf9851-65ad-4b9f-b035-2b33d57fd625",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## 4. Analyze accepted/ rejected fragments\n",
+    "\n",
+    "    4.1. Count number of accepted/rejected fragments\n",
+    "    \n",
+    "    4.2. Plot number of retrosynthetic routes found per fragment and subpocket\n",
+    "    \n",
+    "    4.3. Inspect fragments with no retrosynthetic routes found and with most retrosynthetic routes found\n",
+    "    \n",
+    "    4.4 Save custom filtered fragment library\n",
+    "    \n",
+    "        4.4.1. Add results from pairwise retrosynthesizability to the filtering results\n",
+    "        \n",
+    "        4.4.2. Save fragment_library_custom_filtered to data"
+   ]
+  },
+  {
    "cell_type": "markdown",
    "id": "6cab8269-47eb-403e-aef5-504155546de5",
    "metadata": {},
@@ -1328,10 +1772,116 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "id": "1de5d54c-aab5-4441-9b36-4e3df55ffb4e",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:41.733682Z",
+     "iopub.status.busy": "2024-05-13T08:55:41.733219Z",
+     "iopub.status.idle": "2024-05-13T08:55:41.771491Z",
+     "shell.execute_reply": "2024-05-13T08:55:41.770834Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>custom_filtered</th>\n",
+       "      <th>accepted_pairwise_retosynthesizability</th>\n",
+       "      <th>rejected_pairwise_retosynthesizability</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>AP</th>\n",
+       "      <td>248</td>\n",
+       "      <td>145</td>\n",
+       "      <td>103</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FP</th>\n",
+       "      <td>206</td>\n",
+       "      <td>139</td>\n",
+       "      <td>67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SE</th>\n",
+       "      <td>179</td>\n",
+       "      <td>138</td>\n",
+       "      <td>41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>GA</th>\n",
+       "      <td>114</td>\n",
+       "      <td>92</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>B1</th>\n",
+       "      <td>13</td>\n",
+       "      <td>9</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>B2</th>\n",
+       "      <td>18</td>\n",
+       "      <td>0</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Total</th>\n",
+       "      <td>778</td>\n",
+       "      <td>523</td>\n",
+       "      <td>255</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       custom_filtered  accepted_pairwise_retosynthesizability  \\\n",
+       "AP                 248                                     145   \n",
+       "FP                 206                                     139   \n",
+       "SE                 179                                     138   \n",
+       "GA                 114                                      92   \n",
+       "B1                  13                                       9   \n",
+       "B2                  18                                       0   \n",
+       "Total              778                                     523   \n",
+       "\n",
+       "       rejected_pairwise_retosynthesizability  \n",
+       "AP                                        103  \n",
+       "FP                                         67  \n",
+       "SE                                         41  \n",
+       "GA                                         22  \n",
+       "B1                                          4  \n",
+       "B2                                         18  \n",
+       "Total                                     255  "
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "num_fragments_retro = pd.concat(\n",
     "    [\n",
@@ -1357,14 +1907,40 @@
     "### 4.2. Plot number of retrosynthetic routes found per fragment and subpocket"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "fb2f5195",
+   "metadata": {},
+   "source": [
+    "**Note:** the following plot only displays subpockets if they comprise at least one fragment after filtering. Here, subpocket B2 has no fragments that were accepted for pairwise retrosynthesizeability, thus B2 is not shown in the following plot."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "id": "6a4c85ee-142d-4037-8cd0-42b775d4dd54",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:41.773630Z",
+     "iopub.status.busy": "2024-05-13T08:55:41.773439Z",
+     "iopub.status.idle": "2024-05-13T08:55:42.786595Z",
+     "shell.execute_reply": "2024-05-13T08:55:42.785976Z"
+    },
+    "metadata": {},
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 2500x2900 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "filters.plots.make_retro_hists(fragment_library, \"retro_count\", cutoff=0)"
    ]
@@ -1374,7 +1950,7 @@
    "id": "04dd64c2-ba0e-4ae8-8805-93bb11a421a6",
    "metadata": {},
    "source": [
-    "legend: red bars display the number fragments without a retrosynthetic route found"
+    "**Legend**: red bars display the number fragments without a retrosynthetic route found"
    ]
   },
   {
@@ -1397,12 +1973,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "id": "7c016b3b-4f15-467c-b4eb-3f393f8faf1d",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:42.789341Z",
+     "iopub.status.busy": "2024-05-13T08:55:42.789146Z",
+     "iopub.status.idle": "2024-05-13T08:55:43.281709Z",
+     "shell.execute_reply": "2024-05-13T08:55:43.281174Z"
+    },
+    "metadata": {},
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "103 AP fragments with no retrosynthetic route found\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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vXzI3V/VSoMgWLVoUEBBQrVq1dYW6rDc2JmNj+mxzyvLlad48mjOnqCuE79mGDRsWLlyopqbm5eUli7a/fv16+PDhO3bsKHiUvHbt2rVr1x47diwRvX379urVq7zs+/Pnz318fLS0tFauXFmjRg1F/RgAAAXwHZ5fldqAe1JSkkgk0tfXR/8QEJC/v/+qVatOnDhBRHp6eqNHj549e3alSpXkn/PqFa1eTTt3UkYGiUTUvftX8tZbtaJTp6hbN9q1iwwMyMNDoT8BgMJoa1Nm5n9GMjJIR0dFqwGAkuHGDdq8merXp8GDiYiOHCEHB9LSotOn6cQJOnuW3r/PfaaeHnXsSL16kYMDVajw12ePlpycbCDXOmL27NkGBgaTJk2aMWNGUlKSq6urwn8eKIKkpCQ1NTUtLS11lVbZK1uWBg6kmTNp714VrgIEcP36dTc3N7FYvGvXLvl3hj/++OPixYu8V6qZmZmZmRn/u6lpRRMT/YIff+JE2rVLAeuG78POnTunTZsmEom2bt06ZMgQPvjmzRs7O7sXL178+uuv+/fvL8RhK1SoMHDgwIEDBxLRy5cvhw8ffujQIVtbW2dnZyFXDwAlB86vVKUUBtzT0tI2bty4cuXKFi1aJCYmuru729jYqHpRUOL5+/u7urpeuHCBiAwMDH7++ec5c+ZYWFjIPyc0NGflSvW9eyk7m8Ri6t+f5s//T8rvl9jY0LFj1Ls3bdhAhoa0dKmCfggARWrShM6c+fjw9WuKjyfsYIWiCA+no0fp5UuqVo3696eKFVW9IFCIsWPJxYV++IGMjIiIrl+nyZNJVvKwcWPq0YO6d6e2bb/Y7OT58+fHjx8/ceLElStXXrx4UaFCBdmXxo8fb2BgMGrUqEWLFqWnp7u5uSn6x4FCyM7O/v33311dXTt06PDkyZN169YVvJCxIkybRk2a0LlzKlwCFFVqauqoUaMkEsncuXM7dOgg/6Vr167t27fv02+xszt99Wq3cuWoXDkyMyMzs9xeqa1bU5cuH5/WrVtuS3g1NfL0JE9PkkpRFhK+ze7du3lC+ubNm8eMGcMHo6Oju3bt+uLFi9atW2/btq3os1StWnXcuHFXr149deoUAu5QaAcOUGoqjR6d+3D5cpoyhQwNVbomKBicX6kYK0WkUum+ffsqV65MRCKRyNDQkP9lxIgRERERKlxYfDzLycn9e1YWS05W4VqgMDIyMszNzYmobNmyrq6u8fHxeZ7w4MEDR0fH5s27ETGxmA0cyB4+/OZZjh1j6uqsZctIN7c1wqwbQJnS0lj16szNjb1+zW7fZra2bNEiVa8J8pWWpuoV5Ov+fVa+PFu8mB0/zn79lZUvX5g3Vij2ZsxgHh5s1iw2eTJjjDVpwvz8mJERs7dn7u7s1asvfmNKSso///wzbty4yrICNEQaGhonTpz49Mn79u3T0NAgomXLvKVShf0wUCgnTpyo86Fmh7GxMf9Lnz59nj17puSVpKWxoCDWvDljjF26xOrVY25ubPr04v5mCZ/l5ORERE2bNs3MzMzzpTt37uzdu3f9+vXz588fM2ZMnz59bGxsateu3a3bbSL26Z9x4744y9GjrG5d5u2t2J8FSpnDhw/zPNPVq1fLBmNiYho2bMhftJ9ebBZaTEyMWCzW1tZOTU0V6pjwvRk6lGlqshs3ch+WL89UGl2Dgjp58iTOr1Sr9ATcb9++3a5dO/4aatas2ZUrV1JTU11dXbW1tYlIV1fX1dU1PT1d+QvLyWFEbP783IdnzzJ7e+WvAopk+PDhRDRkyJDkT+6W3Lp1q0+fPrxykaam5qxZL4ry9nX4cLS2tgEReXh4FGnFAMp08iRbtYqFh7M3b9iMGaxjR9a/P9u2jSGsVWxt2MBq1WING7Jq1diYMcX0ZKdvX7ZG7u7j0qVs4EDVrQYUhQfck5JYlSosMJA1acKCglh29hefHxrK3N1Z166sZUsXWZzdwsJi9OjRhw8ffv/+/Ze+8dixY506/U9NTTJ2LJNIFPKzwLd68uSJg4MD/yXWrl37+PHjWVlZ7u7uPGlGQ0PD2dk5n9+pgFJTmasrMzVlZ8/mXhAyxn76idWpw6ZPZwMGsI4d2b17SlgICOP06dMikUhLS+v+/fvf9I2ZmSwigt27x86eZXv3Mnd3tmABO3bsi8///XdGxJo2xSkPFNTff//NbwAvX75cNpiYmNi8eXMiatSoUWxsbNFnkb/P1LJlSyL67N1ogIIYOpSNH8+aNs09PUPAvfjD+VUxURoC7rGxsc7OzmpqajwB2d3dPUeWT87Y69evHR0d+UutcuXKXl5eUuWeEOXkMA0NVqsWe/SIMQTcS6Z58+YRkaurq/ygn5+fg4MDD7VraWk5OTm9fv266HP9+eefYrGYl/Mr+tEAlOGHHxgRwyu2pDh/ntWokZs5nJbGevdm8+apek2fU7kyCw7++PD2bVajhupWA4rCA+6MMW9vZmvLGjdmQUF5n5Odzfz8mIsLs7b+mHNqZxfUunXrpUuX3r59u4CndhcuMH19RsSGDMkvpg9KkJCQ4OLioqWlRURlypRxc3PLyMiQfTUmJkZ2bl+uXLk85/bCkkrZ7t2sQgVGxEQi5ur68YLw3TtmZMTGjWNlyzIipq7OJk9mcXEKWggIJiYmpnz58kS0bt06Rc+VkcEsLBgRO3NG0VNBaXD27FmeDrhw4ULZYEpKCk8crFWr1tu3b4s4RXZ2drdu3QwNDVNSUvgI718yadKkIh4ZSpaoqKgtW7a0+ZouXbLbtGH5/Jkzhw0dyg4eZP37M/6eioB7cYbzq2KlZAfc+V0aIyMj2V2axMTEzz7z4sWLTZo04WF3Ozu7u3fvKm2ROTlMS4vt28c6dGBSKQLuJdKOHTuIyNHRUTYyf/58/nIyMDBwcXGJiooScLqNGzcSkVgs3rt3r4CHBVCImBimocE0NFhMTO7Izp2sWzd29qxKlwVfNmgQ27z548OQEFa2rOpW82VGRuzly48PQ0OL6TqhaGQBd8ZY165MQyNvwH3HDqan9zHObmLChgxhe/d+fMv5JleuMENDRsR69WJyFyCgPBKJxMvLy8zMjJ/qODo6fukk6vbt27a2tvK7VwVfTEAAs7HJfWk1b878/VlkJPvzz49POHWKnT/P4uOZszNTV2dEzNiYubmxT4qUQDHC20W2a9dOopTNLG5ujIh17KiEqaBk8/f319PTI6KpU6fKBtPS0uzs7IioSpUqL+VPe4qgdevWROTj48Mf3rx5k4iqVasmyMGhRMjOzm7YsKF8zb0vMTGRfraUluxP3765AfdXr1j58uzNGwTci6lPz68iIyM/+0ycXylNCQ64+/r61qtXj79K7O3tH36ttGvBz++FxQPuUinr0IHt2oWAe4l06dIlImrbtq1sJCgoyMjIyMXFJU4xd+LWrVtHRGpqagcPHlTE8QEEw3dT9+z5caRjR0b0n09UKFasrdm5cx8f5uQwdXUmXLVQwTRtys6f//jw1CnWooXqVgOKMn8+8/TM/fuTJ8zUNO/G0rNnGRGrXp05OzNfX5aVVdQZAwJyE2q6dy+m5ZRKsQsXWKdOPb4pA8bHx6dq1ar8WxwcHF68eCHISt6+ZU5OTCxmRMzCgnl6fr3Q0OPHrEeP3KvHOnXYyZOCLAQEtmvXLiIyMjISKnb5Ve/fszJlGBG7elU5E0KJdP36dQMDAyL63//+J9uVlZmZyRsYVqpU6fnz50LNtXjxYiKaMGECfyiRSHg3skd8xz18B3gCX5UqVS5evHg1X9ev51y9yvL58/hxbsCdMebmxhwdEXAvjuQzjDt06IDzq2KiRAbcHz9+LGutW6dOnZOf/EKOHDnypTAo32Ghqan52R0WAgoOZq6urFYtdvs209LKHalYkR06hIB7yfP69WsiMjc3lx9UdEuAhQsXEpGmpiYq7kGx1q4dI2Ky3Rhv3zI1Naatzb6w3whUIz2d+fiwkSPZuXPMzo79/ffHLyUnMzW14phOsHQp69IlNyCamsrs7NiWLapeEyjEunXs2DH2pQ/VzEz25o3AM965w0xNGRHr0IElJQl8cPis16+ZoyMjYjY2eypVqvRpjcezZ88OHz78synJqampbm5u+vr6RKSrq+vi4vJpT52Cy8xk7u65Gx00NZmzM/umKqa+vqxevdzLQnt7hvhVsRIeHs77wu3Zs0eZ886dy4hYnz7KnBNKkjt37vBX5siRI2XvcllZWb179yYiMzMzYUPhAQEBvJqubGTEiBFE9Ntvvwk4CxRb8fHx5cqVI6Jj+TSg+BaygHtWFmvQgGlqIuBejPAa2rzQ8WfPr2R8fX3z3IrG+ZWilbCAe3x8vCxcbmxs7Obmlqfv/KNHj3744QcimjJlSj7H+bSHgCDLy8lhFy6wSZNyCxXxP0uX5gbcGWOzZzNrawTcSx6JRMLL7SUp97r8l19+ISIdHZ0LFy4U8VDZ2dnx8fFxcXFhYWFhYWFvBI9egKIlJDBHR1azJqtRg7VsWVxqhb5+zcRipqvLZJ/N69YxIvbjjypdFnyQlsZ8fJijIzMyyv1M+vlnNm0ak/+I/PtvZm2tuiV+YvRo5uLCkpNZZiYbM4ZZWrKuXZmlJZs4EVW3S6WUFKahwdTVlR34DglhFSvy+C/uDypWSgqbP59pazMipqfHli2T5klZCA0N7dOnDz8t37dv35eOEx4eLrukrFixYuHaMh07drpWrdy3wx9/ZGFhhfmJMjKYmxszMGBETEuLubldVPL5IXyWRCLhpTn69eun5KmjopiODhOJ2IMHSp4ZSoD79++XLVuWiPr375/94UwmJyfnp59+4mWUHwj9upFKpRYWFkQU/KEXzv79+4moc+fOwk4ExdPkyZOJqFOnTkIdUBZwZ4xducJEIgTci4XU1FRXV1cep9LV1XV1dc0nJTQhIcHU1FRTU9PZ2TnPSQvOrxSnxATcs7OzPT09TU1NZQVhoqOj5Z8QExMzfvx4Wfn/bdu2ffWYvr6+DRo0kBWlCZZvzvYtcnKYnx9zdmbly3+Ms1taMmdn5ufHsrI+BtxTU5mlJQLuJVLdunWJ6J5yOyhLpdLx48cTkZ6enouLi6enp5ubm5ub2/z5811cXKZMmeLk5DRy5MiBAwf++OOP9vb29vb21tbW1tbWtWrVql69urm5ubGxsa6u7qfF2gYPHrxZvogzFH/DhjEnp9yAo58fK1uWhYerek2MrV7NiNigQR9HWrRgROzQIdWtCRh7/5799Rfr35/p6n78WGrenK1cyUJD2atXrGJFtmIFCwhgf/3FKlUqLvdvGGPXrjGRiOnoMNmuxqws9vy5AGVEoLjiFWNUUi7o+XNWvTojYs2aFbIiPORPKmXe3qxKldx+WQMHsjxFPlJSUmTXinp6evlfK3I3b97k5YmJqGXLltevXy/gYkJCQnhSTvv2wXXrslOn8i71wAG2fPk3/HQxMczZmZmbRxoYGCq68xgUxOrVq4nIwsIiNjZW+bNPmsSI2IgRyp8ZirWnT5/y2HefPn2yPpzMSKXSMWPG8NpHgYGBiph31KhRRLR69Wr+MD4+Xl1d3cDAIClJsVu0QeUePXqkoaGhpqZ2//592WBWVtbGL9iyJWvjRvbpn/8G2/JMwcaPRxqMKkmlUm9v7ypVqhCRSCQaOHDgV6uoRUdHDx06VJYIv3fv3jxRdQWdX+Xv1i02Y0bexJfSdH5VMgLu58+fb9y4Mf/dd+zYMU/Qk8fi+a4ZdXV1JyenmAJfNn3adjUhIaGA35uenv7PP/+MH59hbPwxoFG3Lps3j92+/fFpEgmbP//jw4sX2fbt7MWL4rh9H/LRs2dPIjp69KiS55VKpf369eMNdopCTU3N2NjY2Ni4evXqVatW1dLSEovFBX8bBRWLjf1PFjljbPx4tmiR6hb0gZUVI2Ky7YrPnjGRiBkYoC6ySsTFxd09cIA5ODAtrdzPJLGYtW3L1q5learyhYezRYvYkCFs1izG3weKsH9QMBIJa9mSEbGFCz8Ovn6tugWBMsyfz4jYrFmqmf3lS1azJjMzYx4e/3lPXbqUvXqlmiWVGoGBH/tlWVszf///fFUqlXp5eZUvX55fKzo6Or57966AR+ZtmXhJYp6Fk//3fpKU81eeC7fbt3Oro2losCdPvu3HvH37Sdu2bfm5VvPmza+ijLeKBAcHa2tri0SiT2uNKserV7kt5AWqggsqEBsbu2DBAjc3t7Vr13p6eu7YscPb2/vo0aO+vr4XLlwIDAy8c+dOWFjYixcv4uPjEwuwN+rVq1eWlpZE1KVLF9ndRPmEKj8/PwX9LAcPHuSRE9nI8OGX9fRSlH4tC8rWrVs3Ipo0aZL8YHJy8peiBF9qmhoQ8PnjS6W5dT82bFDGjwOfCggIsLGx4b8+a2tr/zwnWPm6detWmzZt+Pe2aNEiz0mL4OdXX2Vry4iYmRnz9GSfnJuVhvOr4h5wDw0N5Y3miahy5cpeXl55nnDu3LmGDRvyJ3Tu3LlwG7JiY2OdnZ35C8XExCT/WyhpaWk+Pj6Ojo6GhoZEZGv7lIjVr89cXVkB70///TczNFTZtSUUjrOzM6mo8l2XLl2IqGnTpk5OTr/88ouLi8vSpUvd3Nw8PDw8PT137drl7e19+PBhX19fX1/fgICAwMDAJ0+ehIWFvX37Nj4+PiUl5dNjzp07l4gaNWqUhbzREuHmTVa79n9GNm1iw4apaDUfPH7MiJih4cfSy0uXIr9L+WJjY728vBwcHDQ1NRvXrp0bZ7exYe7uBS19feYMK1+eHTmi4JV+zc6djIhVrMhk71qBgUxdnU2cqNJlgWLxQKePj8oWEBHB7t9nM2cyDY2P/wisrP6TPAH5WLCAzZz58aGDA3v+/Cv9sq5eZV26vNPXNyCitm3bBnzpsj5fPDteS0uLPmTHf9qW6atJObGxzNmZqakxIla2LHN3z3u9V0A+Pj48rEaCdh6DAsrIyODN4iaq9PNi+HBGxH75BTkHJdK1a9dkJWcLTiQSGRsbm5iYVK9evXr16nyrMd92/OOPP/K4VceOHdPkMlFmz55NRLq6uhcvXlTcj5OQkNCsWadOndbLaigvX86I2NixipsTVO/vv/8mImNj4zwfdpmZmZO+YMaMrEmT2Kd/8kk7+OcfRsSMjbE7UNkiIiKcnJzEYjERWVhYeHp6frbzTf54dnzlypXpQ3b8q//+sgU5vyqgoCDWvn3uPZ6mTdmlS3mfUNLPr4pvwP2rm0yfPn0qi8XXqlXL29u7iDMGBQW1b9+eH7Bp06aX/vvbTkxM3Lt3b79+/XR0dGSfry1atNi06Uxo6LdNdOsW09RkIhFDL8wSxMPDg+S6vSvNxYsXiahMmTJf6gNcOGlpadWrVyeitWvXCnjYUundu3deXl4qvjPx4AGTa3zEGGOrV7Nx41S0mg9cXRkR+9//Po40aMCIvm0jGRRWeHj4hg0bOnTowO8WE5GGhka3bt3SduzIbxfoZ23YwIhYmTJ5yz0oU1ISs7D4TwNeqTQ3FuviorJVgYKlpzNtbSYWM0E/4gpj5kw2fjyrWjW3lDwC7gXXqxczNPz4xq+nx6ZOZURMW5vNnZt380x4OBs6lIlEjIj17r31r7/+KkSdUHnylwM1a9aUvxzIPyknK4u5u+e2t9DQYM7ORS3lL2znMfgmPIJZo0YN1f4/Dw7OadPmN319w6ioKBUuAwpn3LhxRNSuXTsXF5fp06c7OTn9/PPPAwcO7Nu3r729vZ2dnbW1dZMmTapXr25paWlsbMxz7/JXuXLlihUrytcg5ld22traZ8+eVfRPxMNYhw/nPrxzJ/cmaNHedKH4yszMrF27NhFtUHzyebdujIj9N40eFCgzM9Pd3Z2/7fA67O+/qSHpJ74p3PpN51eF4OPDqlXLDbvzvA15Jfr8qjgG3L+6yTQ5OVl2y0VfX/+zt1wKzcfHp1q1arJbKHfu3OGZg3w6IhKLxdbW1q6urk+fPi30LCtW5G6dKPD2WVCxEydOaGhoDBo0SpmTSqXSVq1aEdGqVasEP/jp06f5e1aJu0+oZC4uLkRkaWnp7u6empqq7Olv32azZ7O0NKavz549+zjesyfbulXZi/mv8717Z6urM9kFw927jIiVK4dy2wr18uVLd3d3GxsbXoOPiLS0tOzt7d3d3Qt/hS+Vsj59GBFr166Q6Z1F5+LCiFibNh8vBP/6K/eTEh0tS6+LF3NTWlRu5kzm7s6mTWPTpjGGgPu36NWLLVvGatbMrSWmp8fevGEjR+btl5WW9rERlo4Oc3ERsk1unmu/EydO5J+Uc/z48V693GWXdt9aRiYfgnQeg2/i7++vpqamrq5+48YNVa+F9erVi4jmy5cThZIgMzOT9zWVL3tdEBKJJD4+PjY2Niws7NmzZ4GBgQEBAXzb8aZNm3iucfZ/a12vX7/eRym7ulauZERs9Ojch1Jpbqvwu3eVMDmogJubGxHVq1dPCYlijx4xDQ2mpsaU2+HuO+Xj48NzJXmIMqxwDUk/5/Xr146OjrIbhF8tKPLV86tCS0tjS5YwPT1GxDp0OLhgwYI8dRpK6PlVcQy4BwYG8v+Pbdu2vXXrlvyXPi0qFBkZKfgC0tLSlixZwqtm810SRKSmptapU6fNmze/ffu26FNIJMzenhGxbt1wk7lkCAnJVlPLqVFDqZMeOHCAiCpUqJAnzhsaGhoYGBgYGHju3DlfX9+jR496e3v/+eefnp6eGzdudHNzW758uYuLi4uLi5OTk5OT008//TRw4MB58+blOf6AAQOIqF+/fkr8mUqeAwcO1KtXj78PmJqaLl26ND4+XhkTv3zJhg/P3ZN//DhbvJhZW7PLl9nDh2zhQla7NhPuRmMh3L59m4ga1q37MT7LA6ZK3wXyXcnMzDQwMOCvRj09vQEDBuzfv1+Y7u3x8bmdDVXSGyAsjGlpMbGY3byZO5KWxiwtGRHbsUMF6wFlWbSIEbGpU1W9jg8B9/fvWaVK7M4dBNy/Qa9e7N9/2ZgxjJ9l6Ol9piVE/rlLguBtmYyNjYmIv08aGRmtWbMm879Nkx49esTr2xJRv36vTp8WfiWMscuXL1tZWRGRurp66LfuhIVvkZycXLNmTSJydXVV9VoYY+zGjRv8tVeQAt9QfBw5coSIrKyshD1s3bp1iejKlSvCHraA7t3Lm9I+ZgwjYitWqGQ5JdWaNWtKRGgvMjKSNyY8raAPtk9MmcKIWKdOypnt+/Xy5UtNTU0iaty48fnz5xUxxYULF/JpmVnA8ytBhIezESMyK1SoTF/o7Frizq+KY8C9fPnyYrHY09Mzz//cGzdu8Gxf+sa2uYUTHh5ep04dsVjcoEGD7du3F64mUT4iI5m5OSNiqqgKDt8sPZ2JxUxdXXnJu1lZWbVq1SKiP/74I8+XZHWNvomNjU2e47x9+5Z/MP/zzz9K+qlKJqlU6uPjI2swoq+v7+zsHB4erqj54uOZiwvT1mZETFOTOTsz3sx53z42ciTr3ZstXMh4LvOGDczJKW9xXKWYOXMmETk7O/OHUql0Sb9+QXXrssuXlb+Y70eLFi3EYnGPHj2OHDmSJnhn2suXmZoaE4vZhQsCH/mr+vZlRGyU3BaiX39lRMzKSiUvb1Ca+TBs6AABAABJREFUTp0YkerbB7APAXfG2F9/MTs7BNy/AQ+4x8YyCwv2+PFnAu7p6bnRdisrhX9ExMTEtGrVSiwWW1lZ5dn0Ex8f7+Liwq9ay5Qp4+bmpohrRRmJRLJs2TKxWFy/fn3FzQKjRo0iombNmhWfpkQdOnQgxWxOBcXp168fKaDS5owZM4ho7ty5wh624HgqRVBQ7sMjR3J3M0IB1a9fX2nRpyL6+eefiahPnz5KmzE+npUrx4jYsWNKm/N7ZGVlJRaLFyxYkE+byaLjmc2mpqayzOY8J1H5nF8J7tatW/m0Sy1Z51fFMeDO93PJB7jj4+MHDRrE/49XqVLl4MGDyrnHOHHiRCLatGmTUAeMi2O7dn18+O+/TCRiGhqsGOyAhK+rVIkR5d0irTibN28mojp16uTZh8gYs7Ky4j15OnXqZG9v37dv34EDB44YMcLJyWnSpEkuLi5z5851c3Nzc3PbunWrp6fnvn37vL29P5te4e7uzv9ZlaBKWCrk5+fn4ODAt+Boamo6OjqGhIQIOUFWFvP0ZGZmjIiJRGzgwPzyACMimK4uI2I//aTkKi4SiaRSpUpEJDv1vHr1KhFVrly5EJ1boOCaNm1KREGyKyfBzZ/PiFilSiw2VlFTfOr8eUbE9PVZRETuSHg409VlIhFTUVIYKEdmZu7vuTiUO5YF3BljnToxTU0E3AuKB9wZY9u3MweHz2e4nzjBtm1T0u2zpUuX0n9revDLSDMzsy9dRirIkydPiKhWrVpKmOv7xNsDamtrBwcHq3otH506dYqIzM3Nhb8vDooRHx+vpaUlFovffGg1//btW0Fu4fj6+hJRkyZNin6ownFyYkRs2bLch0lJTFOTqampvm9KSdGgQQMiqlChAn1oL/lShe2OviwoKEgsFmtqaj4RsERaAWzcyIhY9ersv9W/QUi8osu3VrsqnLi4uClTpqirqxORiYnJ9u3b5b/66fmV4uTf2bUEnV+VjIB7dnZ2w4YNlV8gX9iAe0YGq149b69U3leqRg1WtJ4HoAwdOjAi5uurjLlSUlJ4G4NjCr5lLJFI+MaR2bNnK3Si0uTu3buOjo68U6VYLHZwcLgpq4NRaFIp8/ZmNWrkbrnv3LlAwZ4rV3I7vvXsyZR4XXfp0iUisrS0lN37nDx5Ml5FSqDwgHt2NmvblhGxH39U1BR5J8w+OGiQxMTkPzucBw9mRGzIEOWs4XuQk5Nz/fr1BQsWjB079sCBA8UkDOTvz4hYgwaqXgdj7L8B9ydPmJYWAu4FJQu4SySsTRsmEn0m4K5Mn14QhoaG8sT2Tp063VNiudkSdEFYQp08edLExESF6cNfYm1tTURbVd1rBwpoy5YtRNStWzfZyA8//GBqaurn51fEI8sqAcqHipTp2DFGxOQ3OfONZQcOqGQ5JQ8PuAcEBMjaS+rq6rq6uhaT8yhOKpW2a9eOiH755RclT52Twxo1YkRs5Uolz/wdUWbAnXv8+HGPHj0+3fSjzIA7l5SUNGfOHN5Nc+nSpbLxEnR+JS5EYQrlU1dX9/LyevLkiaw7bUmkpUUTJhBj9PPP9PZt7uCqVWRlRWFh5Oys0sVBAdSoQUQUFqaMudatWxcZGdmyZcs+ffoodCKxWLxp0yY1NbWTJy8+eJCt0LlKjSZNmuzevfvp06fOzs6amponTpxo1aqVra3t8ePHC3dAvytXpB060KBBFBZGjRrRv//SuXPUrNnXv7NdO7pwgUxN6eRJ+uEHSkoq3AK+1f79+4lo6NChPNlfIpEcOnSIiIYMGaKcBYCiqKvTgQNkYkJHj5KnpxIm3LZt22Bvb/sqVWjGjNyha9fI25t0dGjlSiUsoHSLj48/dOjQuHHjKleu3KZNm2XLlu3YseOnn37q0aNHSkqKqldHN2/+aWPj2b//U1UvhIjot99IW5vOnKHMTKpdmzIyCvQeDERUowYZGRERicX0++/UrBmJi9nlRc2aNZcvX37kyJHz58/LqpRCKXD27Nn4+PhXr17JD6anp/v7+6tqSdwvv/xCRKtXr87JyVHtSqAg9u7dS0TDhw/nD6Ojo8+dO/f+/Xtegb0oNDU1O3fuTERnzpwp4qEKx96etLQoNJTS03NHuncnIjp1SiXLKam0tbUXLVoUGhrq6OiYnp6+ePHi2rVr7969mzGm6qUREe3fv9/Pz8/MzGzevHlKnlpNjdatIyLauzcjMjJKybODgtSpU+fkyZOnTp3iGXUqZGBgsHLlyocPH44dO5bXsy15VB3x/4xPM9yVxsLCQltbO4GXS1ZASRmplDk48Ma7HxsNhoQwPT3WqtXf+/YJ1uQXFGHZMkbElJDCGxMTY2hoSEQXlFVJefHi8+rq2W3bolryN4uMjHR1deWl8ImoWbNmXl5eBa+w9vjxY97p+6qdHatQgXl6skJUZwsJyS14ZG3NFP/OmZ2dzTfmy+6086uIOnXqKHpqyJPhvn79em1tbeGT+w4eZETP7OwUvUk/Pj6edyb/uJVHImHNmqmsd2tpcefOnRUrVtjY2PCNOFyNGjWcnZ3/+OOPihUrElHz5s3jVL2lnPeuPFA8Eu3S05m2NhOL2YdzQPg2Hh5s7lwWGanqdagiA0tm+fLl2trasiSsEpSBVUKFh4dramqqqanJOqfFx8ebm5vr6emp5EJSJicnh/dh2rdvnwqXAQXx4sULkUikp6cn20a/bt06Iurbt68gx/f09CSifv36CXK0QggO/s+1xcOHjIiZmuKir0B4hvuDBw9kIxcvXmzSpAk/s+rQocPdu3dVuDzGWFpamqWlJRHt2LFDVWtwdr6oqak/Sr4VEwgnT4b7mjVrtLW1Fy5cqPyVqPD8Ko8SdH5VzFJQVC09PT0jI4Mp7F6lSEQ7dpCFBV2+TGvW5A7WrUvbt1+7ebPv+PFjwpSTPg2ForQM92XLliUlJfXq1atjx44Kn4yIiKZN62Rurn7tGu3YoZwJSw9zc/NFixa9fv3a3d29fPnyQUFBI0eOrFu37rZt27Kz89sxEBkZOX78+IYNGx46dMjAwOBO9+4UGkpOTiQXICuounXJ359q1aLbt6l9e4qIKPzPUwBnz56Njo6uV69eo0aN+AhPeEd6u/JlZ2dnZGTk/0orjEGD/p03r+alS0OGDEmX5UQpgKura2xsbKdOnfr27ctHduzatVhNLa1tW5o9W3HzlkppaWnnzp2bOnVqlSpVrKys5s2bd/XqVZFIZGNj4+bmFhgY+OzZMw8Pj9GjR/v7+9eoUSMwMNDe3j4mJkZVC87Jybl27RoR8X3QyufuTkeOfEz6u36dMjKoSRMqU0Ylyynxtm+nlSspOlrV61ApRb0nwxdUqlRpyJAhEomER0iJyNjY2NraOjU1ddOmTSpcmJqa2uzZs4nIzc1NcdeVIAiep/zjjz/KttHnSXgvoh49eohEIl9f38zMTEEO+K0aNPjPtUX9+mRlRZ06KW1bbGljZ2cXFBTE+4Jcvny5WbNmI0aMiIpSWXK3m5vbq1evrKyseAdplZg6tYpIlL179+5bt26pag3fD5xplCwIuCubmRn9+SeJxbRwIV2/njs4ZEjboUOHJiUl/fTTT1lZWSpdIHwRD7g/f67YWV6+fLl161axWMxvISqHoSGtXUtE5OLyvV8tF46hoeHUqVNfvnzp6elZpUqVZ8+ejRs3rlatWh4eHmlpaXmenJaWtmrVqjp16vCcFycnp6dPn0765RfS1S38Ciwt6coVatyYQkLI1paePSvKj5M/Hl6XXYdkZmbyrmUIuJcmHebNq1ev3oMHD2YrLPAdEhKydetWNTW19evX85Hk5OQFCxYsCgg47uxcpH8O35Pnz59v27atV69eJiYmXbp02bBhQ3h4uJmZmaOjo7e3d2xsrL+/v4uLCy8ozFWtWtXPz69BgwZ37txp3759hIJv0X1JUFBQcnJy7dq1eS8yJcvIoLlzadAgkgVALl8mIurQQflrAYDCmzNnjlgs3rlz57t372QjRLRx48bk5GSlLSMtLS3P/ekRI0aYmpo+fvy4evXqNjY2ffr0GTNmzIIFC9zd3ffu3XvmzJl79+5FRESoKggLMvv27SO509qQkJCgoCAjIyNewrjoKlWq1KhRo5SUFJVXOuJu3aK2bWnnzty7y3v2UPFYV0kiFotHjBjx5MkTFxcXDQ2NPXv21K1bd9WqVcr/5/zmzZu1a9cSkYeHh1h11dyqV68+bdo0qVQ6bdo03GIEkIeAuwp07UozZlBODq1Zszvpw83l33//vVq1aoGBgb/++qtqlwdfwgPuioxkEhEtXLgwMzNzxIgRst1qyjF4MPXsSQkJNGuWMqctVbS0tJycnJ49e+bl5VW/fv1Xr15NmzbN0tJy0aJF8fHxRCSVSnfv3l2zZs05c+YkJSXZ29vfuXPH09OTN8gtqvLl6cIFatmSXr70mTHj0aNHAhzzExkZGT4+PkQ0aNAgPnLy5MnExERra+vatWsrYkZQCT09PW9vbx0dnc2bN/MbKoKbPn16dnb2+PHjZSWVlyxZEhkZ2bZtW9mrCz4rJyfH399/zpw5DRo0qFGjxrhx406cOJGdnW1tbe3i4uLn5xcZGbl79+6BAwfKql3lYWFhwYtZP378uF27di9evFDyj0BEly9fJqIOKopwf5rPfuUKEVH79ipZDgAUUt26dfv06ZOZmblhwwY+0q5dO1tb2/j4+O3btyttGbNnz27WrNndu3dlI+/evUtLS9PW1n758uW1a9d8fHx27NixfPny6dOnOzo6/vDDD02bNq1UqZK2traOjk6FChUaNGjQpUuXESNGTJ06ddGiRdu2bTt+/Li/v//Dhw+TkIqsMDdv3nzy5ImFhQWvtE5Ee/bsIaLBgwfr6OgINQuP3Z8qHnXTnz2jbdto2bLch1euUEiIShdUYpUpU8bNze3+/fsODg6JiYlz5sxp3LjxiRMnlLmGWbNmpaamDhkyRFWbBWXmz59vYWFx/fp1fgcLAHKptqLNZ6mwhnuZMmWIKD4+nj8UvIa7TGYmGzJkPhENGTJENnjr1i0NDQ2xWHz27FnBZwRBGBszIhYdrajj37t3TywWa2trq6SX/cuXTE+PEbFz55Q/eWkjkUiOHj3asmVL/k5rYGAwePBgWfOl1q1b+/v7K2TipKTLY8YQUbly5QIDAwU//JEjR4ioVatWspEBAwYQ0W+//Sb4XPCpPDXcV69eTUSzZs1S0HTu7u5EZGxsLPg7Eg/iGxsbyz7rnz17pqWlJRaLb926JexcpUZkZKSXl9fAgQN5kw+ubNmyAwcO9PT0fPfu3bceMD4+vlWrVkRUpUoVWQVkpXFwcCCiPXv2KHleztWVEbFp03IfZmYyXV0mEimhC0ap1bAhI2IfSoyqkgprjC5atIiIfv31V/6wBNUYLdF4EQNDQ0NZFy7exL5ixYqZmZlKWMCZM2dEIpGWlta9e/f4iEQi4XcTe/fu/fjxY39//2PHjm3btm3p0qVTp04dOnRoly5dGjduXKFCBU1NzYJcsBsYGNSqVatt27ZhYWES1N4WDm8JOHPmTP5QKpVWrVqViK5cuSLgLPwGc7169QQ8ZqH99Rfr359Vrcp4m54xY9i2bapeUzH2aQ33z/L19eXPJCJ7e3tF90DieOVAHR2dly9fKmG6r9q5cyd/401JSVH1WkqVPDXcV6xYQURz5sxR/kpQw70QkOGuGpqatHTpz4aGhvv37//zzz/5YIsWLVxdXaVS6fDhwyMjI4Wa69Ytkk9P/Ptvio6mgwfp/fuPg7t2EcpAFUT16mRgQG/fKur4Li4uUql00qRJVapUUdQcX2ZpSXPnEhFNmEAZGcqfv1QRi8X9+vW7efOmn5+fg4NDSkrK2bNnHz9+bGlp6eXlde3aNRsbG4VMbGDQatOmfv36xcbG2tnZnT9/XsBjp6SkmJmZTZ06tWzZsg4ODhcuXIiNjT158qRYLB48eLCAE0Ex4ezs3Lt374SEhOHDh0skEqEOm5WV9csvvxDR4sWLedNUIpo2bVpmZub//ve/Fi1aCDVRqTF//vzGjRuXL19+5MiRhw4dSk5Obtas2fz5869duxYVFeXt7e3k5FSIjTLGxsZnzpxp27bt69evO3ToEBLyWBGL/yypVMo317dXUUp5nnz2W7coLY0aNKAPr0cAKDFatGjRqVOnpKSkLVu28JGePXtaWVlFRETwbGWFSkhIGD16NGNs2bJlsg1ba9asuXz5coUKFXbu3FmnTh0bG5u+ffuOHTuWl5T566+/zp49Kyspk5aWFhERERgY6OPj4+Xl5e7u7uLi4ujo6ODgYGNjU716dU1NzeTk5NDQ0GvXrrVr105B286+Qzk5OYcOHSK5ejKXL19++fKlpaWlra2tgBO1bdu2TJkyISEhzxVdmbRg9PRo2TKaMIFQ/EMofNeyu7u7kZHRuXPnrKyspk6dmpiYqLgZpVLp1KlTGWMuLi68aarKjRw5smXLlhEREatWrRLqmAEBdPTox4f//EORkXToEMn/r/XyIpTmguJLxQH/z/keMtw5Ly8vItLT0wsJCeEjEomE72j74YcfpFKpILPMmcPEYnbtWu7Dli3ZjRvM0pI9fvzxOZqa7P17QWYrzQ4d+vg/LTqaXbwo8PF5+oORkVFsbKzAhy6wzExWvz4jYosXq2oJpdPZs2eJSFdXVznJVjk5OSNHjiQiLS2tY8eOFfo4CQkJfn5+7u7ujo6O9evXz1McUCwWd+3aVV9fv3379sKtHfKj5Ax3xlhMTAwvsb1kyRKhjslPxOvVq5eVlcVHfH19icjAwODt27dCzVKatGnThr+BODg4eHp6hoeHC3jwlJSULl26VKhQpUmTl3fuCHjg/AQFBRFRtWrVlDTff8ny2aOickeWLWNEbNIklSynlECGO0OGu+rwsywzM7O0tDQ+8tdffxFRjRo1cnJyFDo1r4Fma2srmyg4OFhbW1skEp08eVKoWRISEp48eTJ9+nQiatGihVCH/c7xGon169eXjYwePVpB7x4DBw4kos2bNwt+5G/1119sxAgmlbIOHdiuXchw/4oCZrjLxMbGOjs7q6mpEZGJiYm7u7uC3oJ4yaxKlSoVq3Tya9euiUQibW3tFy9eCHLABQuYWMxkG07atmX+/qxGDSa/hUBXl8XFCTJbMYUM90+VoPMrZLir0ogRI4YPH56amjps2DDeZEMsFnt5eZUrV+706dMeHh5CTdSrF40fTzk5Qh3vOzV4ME2enPv3hw9p0SKBj8+7PLm4uPB7TiqhqUlbt5JIRCtW0JMnqlpFKdSlSxcLCwuexKSE6dTU1Hbt2uXs7JyZmTl48GBvb+8CfuPz58+PHDmycOFCBweHSpUqGRsbt2vXbtq0aXv27Hn06JG6unqzZs1Gjx69cePGPXv2GBgYnD17dsqUKXwLIZRK5cqV27dvn5qa2pIlS65evVr0A0ql0oMHDxKRu7u7hoYGEeXk5PAgwq+//mphYVH0KUqfJUuWnD9/PiEh4fjx405OTpUqVRLw4Hp6ev/880/Hjv737ll26kS3bgl47C9SbQF3WT67mZlsPUTomApQYnXp0qV169bR0dG7du3iI4MHD65Zs2ZYWNixY8cUN+/u3bu9vb0NDQ337NnDQ2yZmZlDhw7NyMiYNGmSUF03iahMmTK1a9desWJF+fLlAwIChN2/+N3au3cvEY0YMYI/zMjI4IUThwwZIvhc3bt3p2JTxp2IRCLavJlcXUmJrYW/C2XLlvXw8AgICGjfvn18fPy0adOaN29+he+qE05ycjJv+/fbb7/p6ekJe/CiaNOmzZAhQzIyMlxcXIQ6Zq9eNHEiijFASaWu6gV877Zs2XLr1q2goKB58+bxHtMVK1bcuXNnnz59fvnll2vXrpWR9fP6HCOj1e/f5/cEvsHI1pa0tcnd/T/9MJ89+xiCx4ayghCLSV2d9u2joUOFP/jhw4evX79uYWHh7Ows/NG/Rbt2NHIk/fkn7dhBq1erdi2lStOmTd+9e3fnzp1q1aoRUVpa2tmzZ2NjY8eMGaOI6UQikbu7u7a29urVq4cOHfr+/fuxY8fmeU5OTs6TJ08ePXr08OHD27dv37hxIzY2Vv4JBgYGjRs3btCgQf369a2trZs3b66trS37arly5Xr16uXm5lanTp0avKcwlApSqVR+N0OHDh1++eWXlStX9u3bt3fv3jymUBRNmzY1NjY+fPiwtbV12bJlN23aFBwcXKNGjSlTphTxyKWVvb29Qo+vo6Ozc2flzEw6fJg6dSIfH+rUSaETfj7gHhMTc/bs2WHDhil2biJ/fymRWFZPJieHbtwgIhK0hAAAKNWsWbMGDBiwatWqsWPHamhoqKmpzZgxY+LEicuXL+/fv79IJBJ8xjdv3kybNo2INmzYwAt/E9GCBQvu379fo0aNlStXCj6jtrb2lClT5s+f7+bmJmvyCYWTlJR0/PhxsVg89MN13fHjxxMTE5s3by4rxi2gnj17isXi8+fPp6enC9iOtSgaNKDBg8nDg/BSEpyVldXly5e9vb1/+eWXu3fvdujQoVu3bgIWjL1169a7d+9sbW35DptiZdWqVf/884+3t3d6enr+1Q7LlFmVmGiczxMqVyYiat2a9PVp7VqaM+fjl8LCPv4dgSwozhBwVzF9ff29e/fa2tqePn166dKlurq6ROTg4FCtWrWMjAxeVy4fdeq455+G3KwZde1KRPTbb9SiBcmXWV6/nvT1c/8uXG3eUm7tWurWjYRLWMklkUj4bepFixYVh9vUa9ZQ27ZkZUXZ2aShQUQUFUVZWbkfe1A4VlZWp079n737jmvy6uIAfhL2VHAi4gAVxS3uPdCqgKMVN86Ko4pbbGuLtbbG8SraOnC0xS3WBYi1uHELTsQJylBAEGTP5L5/XBoi4oInCeP3/fCHuYTn3hSaPM95zj3nxO3bt7/88ksiyszMHDp0qKGh4aRJkwqVahGKSCRauXKlqanp4sWLp06dmpyc7Orq+uTJk+D/3Lx5MzMzU/FHTExMeGyda9KkyQfW1r9//82bN0+ZMmXKlCnm5ubKjgmCysyfP//169ebNm0y/O9DYu7cuevXr9fX1xdwN8Pp06cvX768YMGC5cuXE5GHh4eOjo5QB4fPpa1N+/fT5Mnk5UWOjnTkSP7Jg+Bu3759/PhxXv+hY8eO8vGcnJwvvvji9u3bsbGx8+fPV8rc/zl3zr5BA51+/X4hakpEwcGUmkrW1oT9FQBl19ChQ21sbEJDQw8cOMBLck+aNOnnn3++fft2QEBAP6Hf0WQy2fjx45OSkgYPHsyL+BHRxYsX161bp6mpuWfPHvkHqLBmzpy5atWqU6dOXb16VfEtFD7XwYMHMzMze/fubfHf5Q1PeJfXcxdW9erVW7duHRwcfP78+f79+ytjio968oS8vKhJk4KRpUvpY8EGKL7hw4fb2NiMHj363r174eHhJ0+eFPDglSpVGjp0aKFbiS9fvuR1IFWGMebg4NCvX7+ZM2fyjJzatWs3a9bsxYsXvHn1B9jYrAsN/dATWrSgQYOIiFatIltbGjmy4Fvr15ORUf6/c3JK8goAlAsBd/Vr166dj49Pt27deLSdiNauXRseHm5iYrJy5coPZ7jr6Eg/3COiWrX87eG1a9P8+bRoUcG3Nm4ka2v5cUrwAioSGxsaMYK++4747eSNG+nwYWrenFq0oJYtqWlTUkj//Qzbt29/8OBBo0aNJk6cKOyCi6dqVWrfnlq1olWraOFCIqK9eykigjw81LywMq1169ZEdOvWLf6wSpUqderUiYyMfPr0aaNGjZQ3r5ubm6Ghoaurq5ubG+/KK/+WWCxu2LBh6/+0atWqRo0an3Xwr7/++uHDh//73/+++uqrixcvNm/eXOjlg6odP358/fr1Wlpac+bMadOmDR90dXXNyMjQ09PbtGlTyTPcuQsXLuzZs+e7775r1KiRkZGRg4ODIIeFYtPQoD//JCMj+v13cnSk/ftp6FBhjpyRkXH58mVfX98jR45ERUURkVgsFolEc+bMOXz4MD/50dbWnjZt2vTp0xcsWBAfHy+RSISZ+x15eXmXL19KTU1t124TH7l+fX+3brndu3chslTSpACgbGKxeP78+ZMnT/71119Hjx4tFot1dHRcXV2//fZbiUQieMB93bp1Z86cqV69uqenJx9JSUnhDcaXLl3aoUMHYaeTMzY2njp16qpVq1avXs3rn0DxFAqvJyYm/vPPP5qamiMU09MENXDgwODg4BMnTqgl4P78OdnZUWQk/e9/5OWVP6ivT8+eqX4tFUJKSsry5cvXr1+fk5NjZGQ0cOBAGxsboQ5+9uzZ/fv3b9y48ZtvvuHZKrm5uWPHjvX393/48KG5ublQE33Uzp07/f3979y5M3nyZH6X8datWzdu3OC1KD98XamrK83K+tDBq1Sh27eJiGrVIje3/KAEt2EDyTeilIJkRYD3U3cR+SJUnKapRQoODtbW1haJRMeOHRPkgIsXs9WrGWMsJ4c1a8YqV35v09TsbJaVJcic5ZOmJmOMpaayunWZhwfr0YONHMmICr40NJilJXNwYO7uzNubhYSwT2l8m5GRwQvy/v3338p+CZ/u9m3WoAGrW5c9f84YY2vXstmz1byksu7p06dEZG5uLh8ZNGgQEe3fv18Fs3/xxRd6enoaGho2NjbOzs4eHh4BAQGvhWgxI5PJeLHLevXqxcbGlvyA8AHKbpoaGxvLt3+u5h8bjDHGtmzZQkSVKlUKDw8XaiLGWF5eXsuWLYno559/fvPmjYBHhpKQydjcufmfaDt3luhQjx49Wrt2rZ2dneLehVq1an399dcbNmzg9fq7deuWrNC0fe/evZqamkS0cOHCkr6S97h69SoRWVtby0d4neU9e/YoacYKYvjwR126PLl/P/njT1UyNE2tsHJycnjRBh8fHz6SnJzML+4uXbok4ET379/nVUF8fX3lgzzP3dbWVt4PXEliY2P19PREIlGIYt9A+BzR0dFisVhXV1d++vH7778T0cCBA5U36eXLl4nI0tJSeVO8T3Q0s7JiRKxTJ5aaqvr5y7DPbZrKGJPJZF5eXvx0WiQSOTs7x8TECLuqvLw8nuQkkUjkg8OGDSOisWPHCjvXB6SmpvKE+p0K54vdu3cX8CxuyRK2YgVjjOXmspYtmYnJe5umluNAFpqmvqsMnV+haWrpkp6ePnr06JycHFdXVx6ME5CWFm3eTMnJRX/39GmaOJEmT6ZPbq9YQRka0po1tHw5EdHatXT8OK1YQSNHUtOmJBJReDj5+dFPP9Hw4dSsGVlaJvXs2dPV1XX79u03btzIyMh494Dr1q2Ljo5u164drzRSehgb06JFNH26utdRXlhaWlaqVOnFixdxcXF8hOe83+b37oWTkZHRu3fv3bt3y5PZX79+fenSpaysrCtXrty/f3/nzp2zZ8+2s7MzNTUt+XQikWjHjh2dOnV6/vy5g4NDenp6yY8JaiGTyZydnWNjY/v16zdv3jw+GBoayv+9adMm3n5AKBoaGr///rtIJFqxYkXy+z6ZQOVEIlq7ltzdSSqliRPpc2sIZWXRv//SsmVPGzZsaG1tPW/evFOnTuXl5XXu3PmXX365efNmdHT0tm3bZs2ade7cOQsLi8DAwN69e79+/Zr/+KhRow4dOqSjo7N69erp06cr7sgRSqHy8VKplAdBunXrJvhcFUpo6FeXLjWUSiPUvRCouLS0tHgL7l9++YWPGBsbT58+nYhWr14t1Cy5ubnjx4/PzMycOnWqfG/WsWPHvLy89PX19+zZw/uBK0+NGjXGjx/PGOPdv6AYdu3aJZPJBg8eXKlSJT6i1HoyXIcOHapXrx4eHv748WPlzfKu+Hjq14/Cwqh1azp+nJRT6wjyXb9+vXPnzuPHj4+NjW3fvv2lS5d27tz54VLmxaChoeHh4UFEv/zyS0xMDB9cu3Ytfwu6ePGisNO9z6+//vry5cuOHTvK/8fZv3//hQsXqlev/v333ws7l6YmbdxIb94U/d3z52nCBPr6a9q7V9hpAUpM3RH/IlTkDHeeHNGsWbOMjAyhjhkdzRSzTu/eZWlp7P79t+4B3rnD0tKYVMpiYtjo0ULNXE6kp7Px41lYWH6GOzdwIOvRo/Azc3JYSAjz9mbu7szBgdWsyVq1Olvo/zgzMzMHBwd3d3dvb++QkJCEhAQTExMiOn36tApf08fdvs3atGF5eaxNG3bkCDLchcEDOidPnuQPjx49SkRffPGFsLP89ttvRNSuXTv5yA8//EBEDg4Owk6kKC4ujkdjv/nmT6lUefNUdErNcOcd3qpXr/7y5Us+kpWVxZPQJ0+eLMgU7/rqq6+IyNnZWUnHh2L7+WdGxMRiFhDAnj0rGL97t4gcothY5uXFnJyYsTEjYtWrS0UisampqZOTk6en5/tyu54/f96gQQMiatWq1atXr+Tjx48f59mjY8eOzc3NFfZ12dvbE9Hu3bv5w6CgICKysrISdpYKqFAGlhohw70iS09Pr1q1KhGdO3eOj8TFxfF88M/KUf2AxYsXE5GlpWVKSop8Cl45YePGjYJM8VHh4eGamppaWlrP+UZU+Ez8/crPz48/fPLkiUgkMjQ0TEtLU+q8vCv4unXrCo2nKi3tPCmJtWnDiFiLFiwhQUmTlGefnuEeHR3t7OzMi6qbm5t7eXnJPmWrewnw7MxJkybJR5YsWUJEbdq0kSr/YiwsLExXV1ckEl29epWPZGRk1K1bl4i2bdsm1CwvXjDFU8h791hqKgsNZZmZBYN377LUVCaVsvh4Nny4UDOXIshwf1cZOr9CwP0t6g24HzhwgIgMDAxCQ0NVM+O7fv+d7dqlrslLo5QU1r07I2IdO7Lg4ILx16/Zo0cf//GYmOR//vln5cqVY8aMad68+bs5L7q6ukTUt29fxZ/KyMh48uSJ0C/l8/CAO2Ps6lVmacl+/RUBdwG4uroS0cqVK/nD58+f8/imgFPk5OTUq1ePiA4fPsxH0tLS+JtqYGCggBO9KzQ09Isv9mtqsvnzlTpPhaa8gPuNGzd4NTPFDfLffPMNETVo0EAeVhBcRESEvr6+SCRS9t8nFMPatex//2OTJrEqVZj8pKxePcZrC+XmsgsX2OLFrEWLgtJqIhFr3Zp9/z27evVOXl7eR6eIiYnhV7ONGzeOjo6Wj587d87IyIiIRowYIWB9hry8PH6mFxER8d9rXEtEEydOFGqKCgsBd4aAe+nAfwv9+/eXj/ALunHjxpX84JcuXdLQ0BCLxRcuXJAP8jz3vn37Kju+pmj06NFEtGbJEpXNWG4EBwcTUbVq1eQfLu7u7kQ0YcIEZU/N8+j79etXaLx3795mZmb8FnVISIhQf0jJyaxdO0bEGjViQhc1qSg+JeCekZEhkUh4BXM9PT03Nzfl3UFR9PTpUx0dHbFYfO3aNT6Snp7Oy2r9+eefyp596NChRMR323D8/6PWrVt/yumfMmzZwpT/utUAAfd3laHzKwTc36LGgHtYWJixsTERbd++XQXTFWnPHqZQthdYUhLr2JERMTMzJkiZxNzc3JCQEG9vb3d3dwcHB0tLSyIyNDQcrbCt4NGjR1ZWVk2aNMnOzhZgyuKSB9wZY1OmsLp1EXAXwJ9//klEI0eOlI/wPKwXL14INYWXlxcRWVtby1Mb1qxZQ0TdunUTaooPOH+e6egwIqbazhcViJIC7qmpqbxzr+Khjh8/LhKJdHR05NMpCd92amtrq4J8HCiGSZNYmzZMvsmhXj3m48NGjGAmJgVxdiMjNnQo27aNFePNLC4ujm+kqFevXlhYmHw8MDCQb/Z3cHDIVMxlKgEeZ1EsoTt48GAi+uuvvwQ5fkWGgDtDwL10eP36Nb9dFxQUxEciIiK0tLS0tLSeKe7W+XxpaWkNGzYkoiUKYW7e5qRy5cqRkZElOfjnenT37vlWrZiBAVPHJXOZxusOzZo1Sz7i5eXVqlWrgIAAZU/9+vVrDQ0NHR0dxYCsVCq1sLBQzMcyNzcfPXq0p6fnQ8WWa58pPT0/aaxBg+J8NAP30YC7j48PT3XipyslfJP5XIsWLSKiTp06yW/S7Nq1i4hq1Kih2CBHcOfPxxoZmRsaGsqvYaOiogwMDIjo/Pnzypv3A/bvZwoF7csVBNzfVYbOr1DDvVTIy8sbO3ZsSkrKsGHDJk+erJY1rF9P331HT57QypVqmb/UefWKevWiq1epXj0KDCxohF0SmpqaTZs2dXJyWrp0qa+vb1hY2Llz57Kzs/fv33/t2jX+nHr16mlraz948EDAcpMlJJFQUcXn4bPxaOmtW7fkIy1atCDhyrgzxvifzeLFi8ViMRHl5uauX7+ejwgyxYd1705//UUiEc2eTT4+KpgQhDFt2rTHjx/b2trK696+ePGCJ62sXLmSNxtQnu+++65OnTrBwcH8IgFKoRkz6OJFOncu/2F2Nh04QElJZGlJLi7k40Px8XT4MH39NdWq9dkHr169+tmzZzt06PD8+fNevXo9efKEj3ft2vXMmTNVq1b18/MbOHBgWlpayV+IWCx2cnKSd0xhjPFSp/KS7gBQ1pmamk6ZMoUU6rbXqVNnxIgRhoaG9+/fL8mRZ8+e/eTJk9atW/NKfUQUHh6+cOFCItqyZUuhmKmyNWrevLu5OaWn02+/qXLesk4qle7bt4/eLtc+bty4W7du2dnZKXt2U1PT9u3bZ2dnnzlzRj4oFosjIyPDwsI8PT2dnZ1r16794sWLvXv3Tp06tXHjxjVr1nR0dFy5cmVwcDBj7BMnyswkR0e6cIEsLCggoDgfzfBRN2/e7N69+6BBg54/f966desLFy74+vrKg++qsWTJEjMzsytXrvC/aiIaM2ZM165d4+LieKFIZZBKadasGnp6kStW+Nf6729r4cKF6enpI0eO5E1TVWzjRlq0iMLDSWkvGqC41BruL1oFzHB/JpFYGBvXq1cvKSlJ2XPBp4iJYc2aMSJmbc2iopQ71/z584nI1tZWvv3q3LlzIpFIT0/v6dOnyp37P+9u/AoIYP/8U/AwOJjduqWatZRn2dnZfOufPLGF//aXL18uyPF5UfjatWvLt0ds27aNiFq0aKHKbc4//pif8Yq/GcEpI8Odb7wwMDCQJ1JJpdLevXsT0YABA1Tzl7Nz505Sfj4OFM+kSczLi504wZo2ZTk5rF499uQJ27iRCfsBlZqa2qtXL/5noJglff/+fX45161bN8H/PO7cuUNEFhYWwh62YkKGO0OGe6kRHR2tra2toaHx+PFjPhITE1PC2mjHjh0jIl1dXXmuq1Qq5b15xo4dW9IVF8+VK4yImZoypZV9K39SUlLGjRuno6Pzj+J1jgotW7aMiKZNm/aB58iD74Xu4lSrVs3BwUEikQQFBX1gU2B2dvaQIcM7dYquUYOVIEUeGHtPhntCQoKrq6uGhgYRValSxcPDQ11FVBhjO3bsICJzc3N5B4Lg4GCxWKytrS1/AxTWxo2MiNWvX1BI/fLlyzx2ga4SyoAM93eVofMrZLi/pVOnTl27dlV2c/nCTp2q9913YaamR/bt4xF/UK+ICOrWjUJCyMaGzp6l2rWVO92yZcvq1asXHBy8adMmPtKjR4+xY8dmZmbyWz7Kdu8eWVrSX38VjEREkKMjzZ1bkNjepg21aqWCtZRz2traNjY2Mpns7t27fOTdnPeSkIdftbW1iUgmk8kT3nkPH9VYupScnSk1leztKSpKZdNWRLVr1+7atSsvTlU8T58+5a0FNm3aZG1tzQd/+eWXM2fO1KhR488//1TNX87YsWM7duxYo0ajjRuTVDAdFEP//tS4Mf3+OxGRhgbNmEFWVkIe39DQ0M/Pr2/fvnFxcT179rx+/Toft7GxOXPmTO3atQMDA/v06fP69WsBJz1//jwR9ezZU8BjQkVWt27drl278q5xoEbm5ubOzs5SqVSe5F6zZk1eZ6bY9PT0zMzMJBIJj30Q0a+//hoYGGhubr5hw4aSrrh4Onakrl0pMZG2blXPAsogIyMjfX397Oxse3t7nu+i4gU0adKEiPbt2zdlypTdu3dHR0e/+xxLS0sXF5edO3dGRkaGhoZu2bJl1KhRtWrVio+P9/PzW7x4cdu2bWvUqMEjrYXk5eWNGjXq6FHviIjO589n/ndmB8LgW4etrKw2bNggFotdXV3DwsJmz57Ng+9qMWHChPbt27948YJfBhJRmzZtnJ2dc3Jy3NzcBJ8uKYnc3YmI1qwhXV0iIpmMNmyoYWbWfuHChfj4UwELC4uuXbvWr19f3QuBT6PuiH8RisxwP3To0MmTJ1W8ElVkuL96xczMGBETKMUVSujRI2ZhwYiYra3qmrkfOXKEiIyNjeUt4+Lj43l17wMHDih79oEDGdFbJdrHjWNEzNlZ2TNXRJMmTSKijRs38ochISFEZGVlVfIjnz17loiqVKkiT5/39vYmovr16+fm5pb8+J8lJ4f17s2IWLNm7M0bFU9enhXKcC+hnJycDh06ENHw4cPlg9euXdPS0hKLxSooZqooKOi1WCzT1WUKRbyhVOAZ7oyxyEhWuzarUiW/aaoyZGVlDRkyhIgqV658+fJl+fjz58+trKyIqHXr1q9evRJqumHDhhHRtm3bhDpgRVZkhntAQMDBgwdVvJIiM7BGjhzp6uqq4j00ZSgDq/x5+vQpL5YtYJucxMRE+a6vmzdvamtri8Xi06dPC3X84vDzY0SsZk0mUKOLikAmk0kkEh4htbe3l29tV7a8vLxVq1bp8iClAsV2qR8+QlhYmJeXl4uLC4+1HTp0qNATpFLpmDFj+GcoL0EDJaSY4R4QEGBjY8N/a3Z2dvfv31f36vLJE8zlFeRjY2N5d0DBA2iuroyI9epVMLJjByNiDRtK09MzhJ0LOLXsIExPT3d3d3dyclIcVFeG+5EjR06cOKE4UobOr8pGwD05OblmzZqqf2tTesBdJmOOjoyIde9eRFEPeIeXl5dSdyrdvx/Nb39068ZUXNiA921TDHt5enoSUc2aNZVaaOjCBUbEDA1ZbGz+yN27TCxm2toIeynFb7/9RkRff/01f5iXl6evry8Sid6UOCz9xRdfENFPP/0kH7G1tSWizZs3l/DIxfP6NbO2ZkRswACm8oB/uSVswH3evHlEZGlpKQ9CJSUl8eqT3377rSBTfBZ+q+/LL1U/M3yIPODOGFu5khEpMeDOGMvJyeFxcAMDg1OnTsnHX758ya97GzduLL85XWyPHz9et24db/D16NGjEh4NWFEXhNnZ2bwbc48ePW6psMTYuxeEDx484H1NzMzM/vrrL5XVWCtDF4TlkpOTEwnRV/xdmZmZ/A9+7ty5gh/8s7VuzYgYbhx+pjNnzlSvXp2I6tSpc/36dWVPFx4eLm8WMnbs2GvXrnl6ejo5OZmamhY7+C4vIcLJZDIXFxeewqWCV1RB8BMPX1/fgQMH8t+RtbX18ePH1b2uwkaNGkVEI0aMkI/wwiM2NjYC5l2FhjItLaahwe7cyR9JScnPHd27V6hJoDAVB9xlMtnu3btr165NRCKR6I78l62OgPuDBw8GDBhARBYWFunp6fLxMnR+VTYC7jk5OR4eHpUqVSIiLS0tV1fXkgenPsX06dOJaMOGDcqaYO1aRsRMTFhEhLKmKEeePn3KP+csLS1dXV0DAgLkhaoFERwcXLVq1R49DvXqxRRax6tIZGSkoaEhEfn5+fERqVTaq9fAHj3Ozp2rxJsxnTszIrZsWcGIvT0jYqXhCqJcCgwMJCJbW1v5SPv27anELd1v374tEokMDAzk75wnT54koho1amRkqC3d4OlTVq0aI2Lr1qlrCeWNgAH3f/75RyQSaWpqXrlyRT7Iz9fbtWsn7LvrJ4qNZcbGjIipfD8bfMi5c0xeBTQnh23bpvRywXl5eRMmTCAifX19xTK7MTExzZs3J6Jff/21GIfNzc0NDAx0c3OTZ6hpamruxTWiQN69IJRKpV5eXjVq1CAisVjs7OwcK7+3r0y8RPJ3332nOBgUFNSlSxf+e7e1tQ0MDFTBSsrQBWG5dOvWLZFIpK+vHxISIuyHGi/F1qRJEzWeYhXYu5cRMSsrJG99rsjISL7PT1dXV3lbnWQymaenJ7/Kq1mz5rFjxxS/m5eXFxISwoPvPAYiV7NmTScnJw8Pj6CgoE+5Tcj7Qunr65fwmgIUNW7cmIj4fggTE5P169erft/wp4iKiuI5BOfOneMj2dnZDRs2FDZ5tH9/RsSmTy8YWbiQEbFOnZgKm4VVOKoMuAcFBXXt2pW/BbVp06bQyVKR51dKkpiY6Orqqqmpyf/X8/DwUPxfrwydX5XGgPuAAQMqVao0YcKEQlVlVNye4tSpU2ZmZtWqVTMyMnJ2dvbx8RE4AHH3LtPVZSIRO3pUyMOWXyEhIV999RXfHsVVrlx5+PDhXl5ecXFxJTz4pUuX+B0dR0fHzMwcQRb8uXihybp168oTFu7elfHbyDduKGXGQ4cYEatevSB6whPejYxYif+LQtFSU1PFYrGOjk5OTv6f2dSpU4nIw8OjJIcdPnw4Ec2fP18+wqsSSySSEi23xC5fZl9/ze7cYV5eBadip06xp0/ZsWNv3Wrcu1d1RZzKrvHjx1euXLl27dqurq6BgYHFztOMi4vj+8ZWrlwpH9y6dSsRGRoaKqnJ0qf45RdGxGxssCuiFJk2jSmWF/ryS6aQ7KIsMpls1qxZRKStra24az4hIUEikXzWX35kZKSnp+fgwYP5tShXpUqVUaNG7d69WzFfBkpi7NixVapUGTp0aExMjOJ4UlKSm5ubjo4OP22TSCRZWVnKW8b169cbNGhQs2ZNCwuLQlEnmUy2c+dOc3NznrQ1duzY6GjBio28KyEhYeLEiaampooph6BizZo1kwcxdXV1zczMbG1tHRwcnJ2dXV1dJRKJl5eXj49PYGBgWFjYJ17onTp1it+uLi1JxHl5rGFDRsSUX4Wy/MnKyuK3T4jI2dlZ8Dsoz58/513oicjJySnhY2e6vF2qk5MTrywqV6NGjQ8H33m1bj09PTXXOCp3hg8frqmpye8ZlzzgoFS8a3erVq3kIbLDhw/zYOVH//A+hVTKVq5kdeoweYju6VOmo8PEYlZK3gvLq/edXwnr5cuYCRMm8O2ANWvW/OOPPwp1Zv7A+ZWwcnNzPT09q1WrxjNjXFxcChWTLFvnV6Ux4H7jxg0eVa9atermzZsLRdWDg4N5R3giat269YULFwRfwOPHjx0dHfkUZmZm8o86U1PTCRMm+Pr6CnCpkJbGGjdmRGzWLCGWXIHk5eXxDDVeLoMTi8W2trZubm6BgYEfaNr+PufOneOdlIYPHy4Pg6pebm5uixYtiOjHH1fIB/l9Y1tb4dNW8vKYjQ0jYv+VE2fsv4T3n38WeC5QxNMN5LepN2/eTEQTJkwo9gHDwsI0NDS0tLQi/gtgX7t2jYiMjY2VWo/o03l6MpGI7dqV/3DECLZ3L+vVi/n7FzzH2prdvq2W1ZUl2dnZtRX6ONerV2/+/PmXLl36rPc9mUxmb29PRD179pT/4OPHj3n61e7du5Wz9k+SnZ0fN9i0SY2rgLcMHMgU68S2asUUNkUokUwm41WPNDQ0vORFbT5NXl5eUFCQu7u7ra2tYuNfGxsbNze3gIAANX7Wl1fPnz/nUXVjY+OVK1cWOlV+9OiRg4MD/y00bNjQ19dX8AVER0ePGTOG/7r5SZ1IJBoxYkTE27tIeVlSXV1dsVjcunWQuzsTPEc5Jyfnf//7n3xj7pMnTwSeAD7NnTt3tLW1NTQ0qlevzrPkPqpSpUqNGjXq0qXL4MGDv/766++//97Dw2P37t0nT568ffv2ixcv4uLi6tSpQ0S//PKLul+fgs2bGRFr2RJZpsXzxx9/8NLq04cNE3Dfube3t4mJCRFVr1793XrrH8WD787OzoonfvxoDg4OEolEHnz/8ccfiUhbW1sZb63g6+ur4vLZxZORkcHLQm7dulU+2K9fPyKaJVzESfHsiZdGnjxZqGND0T58flVyOTnMw4O1aJGhpaXPq4kUanjziedXgjh9+jTfzEpEvXv3LvS/Xlk8vyqNAXfGWGhoKK9HTERNmjRR3FDM+fj48DcUInJwcJA3iCihtLQ0d3d3/gdtYGDg7u6elZUVEhIikUjkG1GJSF9f38HBwcvLK6XY26onTszvJ1gatiKWWeHh4TwLgMeJuGrVqjk5OXl5eX1iqNHf319PT4+IxowZo/Y9YpcvX+7Rw7tKFZm8VUF6OqtfnxGx9esFnmvPnid6eszKquCD892Ed1AGno0ujx9dvXqViFq2bFnsA06ZMoUU6sKz/1oCqKUMd5E8PZm9PatTh/HGVAi4l4RUKg0MDHR1dVW8AKtWrRrfifUpYcTc3Fw3N7eaNWvKEyWysrJ4sZqJEycqefkfx9+ITE2x46G0UFfAnZNIJDzmvmPHjo8+OSEhwdvb29nZmcc45OdsdnZ2Hh4ekZGRKlhwRfbkyRNeNZuIGjRo4O3tXegJAQEBvB4uEdnZ2X20SPEnys7O9vDw4BeB2trarq6ucXFxEomEnxzq6em5ubkVOmMPDw+fPduTiBGxevWYgI1dlfQa4XNlZWXxLJZvvvmGj7x+/frBgweBgYFHjhzZsmXLsmXLXF1dR48e3adPn+bNm5uZmWlpaX1KUF4sFnfu3Fmp26w/W2YmMzNjZmYoUlpsN2/e7GhrG12zJqtShb0Tefhs0dFB06fzP5hhw4aVsNe3TCa7f//+pk2bRowYwbcnKp7+8fM3TU3Nw4cPl3TZUMbt37+f35KRl1++f/++pqampqam4PcMTp3K3xb/8qWwB4YifPT8qtiOHGFWVoyfDs2a9e/Tp08Vv/u+8ys+UuT5VbGp6xxS2UppwJ3z8fGxtLSUR9XD3u7hmJGRUehkOrUEhbdlMpmXlxf/DBOJRM7Ozu9u2Xj06NGvv/6qmFitr68fNXMm27v38zps7t/PiJi+Pis1va3LuoyMjICAAFdX17p168p/OxoaGl26dOH3/9/3gz4+Pvz+ytSpU4uRGq8MLi75XVvlSSr+/vmfZyXuElcgIyPD3NzczKzd4cP5H5LyhHc1tdisQFasWEFEc+bM4Q8zMjI0NTW1tLQyMzOLcbSYmBieqSfv+8e7w+nq6r4sNWdAnp5sxgz2/ffMxYUxhYD7b7+xmzfzv+rVQ8D9s4WEhLi7u/O2hFyVKlU+sQaaYisUXrujQYMGQp0zlVDfvoyIzZ6t7nUAY4yxgQNZnz5s0qT8L1NTlQbc2X8xd5FI9L7SWzwxws7OTjGJ1dLS0sXFxcfHR6kFTOBdhbKT7rxdgYi3ZapcuTIRaWlpubi4FCog+bl8fHzq168vv1gIV2jpGx0d7ezszHOyzM3Nvby8CpViOHeOtWyZf53ZowcrYWNXxSz+Ro0aIdVUvRYsWEBEVlZWn3V5mJGR8eLFi6CgIB8fHy8vLw8PDzc3N2dnZwcHhy5dulhaWmpra//111+FQhKlwp07LCOD3b7Njh5lN2/mb4zNzmZnzxY8JyWFXb6spvWVBcnJbOhQRsREIubmxop9YejtzapUYWLxD926KaNNSFhYmJeXl4uLC7/s1dHRMTQ0/JR70lARdO/end5uFj1jxgwi6t+/v4Cz5Oay5s0ZEVOoTAlK9+Hs78/14AEbMCD/FMja+q00OK4k51ef5d2k50JRkTJ9flWqA+6sqJsq725wKPkv+9q1ax07duS/wvbt21/52KVkRESEh4dHly5dahkZMV1dRsR0dJidHfPw+KTS18+fs86dmcJmHxBQWFiYh4eHnZ2dtra2/MK7Xr16Li4u3t7eiqfde/fu5RfnCxcuLMl7hLDevMlv9v3nnwWDgwczIubkJNgsPObbsmVL+W2GrVsZEWvYkGGfvbKdOHGCiHr06CEfsbGx0dHRefDgQTGOxi8pnRT+OMaNG0dEM2bMKPlShcID7ny7xuXLBQH3bt2Yk1P+l5ERAu7FxyPvTZo0kb/pmZiYODs7e3t7y3tCvI+/v79IJNLS0rp27ZpqVvtRISFMU5NparJ799S9FGBs4ED288/s/Pn8r4YNVR1wZ4xt3LiRl5Vc9l+P77S0NB8fHxcXF16Sm9PV1bWzs5NIJPeR0KBWH62/+fr1a3lbJlNT0+K1Zbp161aPHj34r77I7bDc9evXO3XqxJ/Wrl27y28HHPPy2JYt+f29NTTY1Kns9evPXYiq69TDRwUGBmpoaGhqal69elXda1GV5GTWsSPr2ZPNm8d692a2tuz1axYTwypXLnjOzZusSRP1LbEskMmYRMI0NBgRs7fP35j56eLi2Jdf5kew+vcXMlXqPR4/fszbgB85ckTZc0GZcPPmTQ0NDW1t7YcPH/KRhIQEBweH4OBgAWdZvz6/VTM+61Tso+dXnyIpiX3zDdPUzN9S/PvvhVtnCXJ+9Sk+mvRcDs6vSnvAnXvx4oWLiwu/1qpVq5anp2ehZGTFiPln/bJLGK9PefmS/fYb69kz/4OZiGlpsX79mKfnW5H32Fjm5sb69mVffsk8PFhuLvrBqYD8arxWrVryq3E9PT1+Nb5s2TL+F+Xm5qbulRa2cycjYlWqMPn7Z2QkMzRkTZowhZzU4ktMTDQ1NSWigP8a4aWnp/fs6daiRTL6LalAXFwcERkbG8vfbaKioopXUPjNmze8itmN//rqRkZG8oqlpSr9igfcGWNHj7J27ZiTE0rKKMvn1kCLjY2tUaMGEa1du1b1q/2A6dMZEVNI0AG1UW9JGTlPT0/+qf3FF1/06tVLsfhDnTp1pk2b5uPj89HbS6BKiYmJrq6uPLPBxMTEw8OjUOG+jxaQfJ/PjddLpdLt27fz9zqxWDx37tJCu1iTkpibG9PRYUZG7LN6kuXlsV27bvBLXw0NjeJd+oKwUlNTraysiMjd3V3da1Gh775j48YVPJw8mc2di4B7MZ05w6pXZ0SsTp3PaAd58GD+vTtjY+bpqcz1vWX58uVE5ML3kAIw9vXXX/OUZCUdXybLT28/elRJM8BHJCQkzJgxg59fValS5a+/7nxWcDExkVWpwjQ1mYsLK3TO8uoVW7hwIz+/qlat2pYtWz58fvUpZULe58MhXKlU6uXlVb16dX7m5uzsHBsb+xkvstQoGwF37saNG507d+a/krZt2168eFHxu4VOpuXlGt5H2Io0LC6OeXqyfv2YllZ+5F1Dg/XsyX7/neXkMBsbtmQJCwtjt26xvn3ZzJnFnwg+n1QqDQoK4kEofrnOb5GJRKJVq1ape3VF69OncBOSK1fYx0pEfCqeE923b1/5CE94t7W1LTWJ/uUc78asuDOreH7++Wci6tevn3yE1wYZO3ZsCY8sLHnAnTHm4MAqV35vwD07+/MKdMH7hIeH851Y8o6Rurq6PPIuLyYjlUr79OlDRP379y89u3y4+Hjm6ckUa1GEh7OEBBYa+lbC2Z07DCFWZSslAXfG2L59+3j/Qx7ctLW1dXd3l3eNg9Lp4cOHAwYM4O9C1tbWx48fL/QEb29veT3A0aNHf/i3WZKKNPI9y+3aHTcwYO7urFAhtwcP2GfVQOYVafT0MszN6/bo0eNWCUvSgEDGjx/Pz2krVm/kFi2Y4qXxjRusYcP8gHtqav7XpUsIuH+qyEjWoQMjYrq6bNu2jzw5KSm/JCgRs7NTcSX9mzdvElHt2rXxUQhcXFwcz8fyf7dKSHGFhzPFnolXr6JYg/o9ePBgwIAB1ao1MzKSFVkT5gOOHWOFSqDz1qmVK7PWrROLd37FW08XWRPmXRMmTOCXqBYWFnv37i309nX27NmWLVvyM8MePXrcLstJeWUp4M4Yk8lk3t7evDu8SCRycnIq1BtXfjK9evXqDxxHST1XGWMsMZF5eTEnJ2ZgwIhYp05s1y7Wq1fBExISWKVKn5c/A8KJiYnZsWPHsGHDtmzZsnv3bnUv570eP2a6ukwkeqv0oiCio6P19fVFIpG8tP27Ce+gbAMHDiSiQ4pBrGKJiIhwdXU9d+4cf5iQkGBgYCASiUrbZb9iwD0ighkYFB1wP3CADRvGZs5kv/6qlmWWT/IaaPLbjTo6OryH5LfffktE1atX//RkBFXasYMRMfnb0tixzMuL9e3LfHwKntOsGftvdwcoy7ffssDAgocuLiw0VD0rycnJ0dPTE4lEW7du/cS+6FBK+Pj48KRjIrKzswt9+29IXkBywQd3tQjSL+vJkyhHx/zIWIMG7NixYhyDPXvGhg1j8p6rR49GFecooARHjx7lW7vk5RQqiqpVmeLWxhcvmL4+i4lhGhqsVav8L2trBNw/Q1YWc3XN///c2ZllZBT9tBMnmLk5I2J6ekwiKX7l9+KSyWS8tFqhhhlQka1evZqIGjduLNR9x9Gj39p8X7Mme/FCkANDSfn5xcm7ng4Zwoq3xf34cWZtnX+QAQPYw4fFKYf1WZ1dv/vuuyKTnqOiouQFSGrXrl3C6vClQRkLuHPp6enyWyj6+vrv3kJ58uTJ+/rFBQcHd+vWjf8dtGnT5sKFC8paZXIy27uX+fiwhQvZkiVvfcvWlp0+rax5obz48UdGxJo2Fbio+sSJE4lo5MiR8pH58+cXypIGZfv++++JaEmhd4YSW7JkCRE5OjoKe9iSS05mivfIX7xgqans+fO3cpOfPmXp6Swnh8lkzM5O9Wss/6Kjo3/77beePXvyfYI88i4Wi//99191L61oO3awDh1Y48b5WagIuMPly5d57RF1LwSKgyenGxsb8+T0d9syRUVFJb9ni5Niv6yGDRuWvF/W6dP5O+KJWO/e7NMbj6WnM3f3/P5N+vrM3f29UThQvbi4OL7X+ffff1f3WlSuRQt26VLBw6Cgggx3OZSUKYYdO5iuLrOwYPHx7NUr9v33zMGBDR/ONm1ieXnsyJH895Fu3YoZ6BLC5MmTiWjFihXqWgCUNtnZ2dbW1kT0vm7zn2v0aNapE5s0Kf8hAu6lCk9ONzbOr2/t6voZ+8UfPWIODvlvYw0bspK3I/3Ezq6pqamFMqffjfFmlIsTLBFjjMqmqKio77//fteuXURkYWGxfPly3irwfV6/fr1s2bKNGzdKpdIqVar88MMPM2fOlMcdlGjePDI2pqVLC0Y6dqSffqL/ylYCFCk7m1q2pEePaMUKWrxYsMO6ublt3rz55s2bDRo0IKIXL140bNgwKyvrxo0btra2gk0DH/T333+PHDmSiOrWrWv5NisrK75Z/nOlp6fXrVv39evXFy9eVCzhXeb4+dGdO/T99+peR/kVHx9/5MiRQ4cOderUqVGjRqNHj1b3ior2xx907RrJZGRuTkuXkrMz9e1Lu3fTrFnk6Jj/nObN6c8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xzZocG6sNuI8fX1RI3dKSHR3Z3Z29vNjXl/39OSiIQ0M5MpJTU3n1am3AXa3m9u25YUME3HOdP3/ewcGBiCZMmCD3XJ4PmZlMxLNmaR/u2MF9+8ozk9hY9vbmNm14+XJtwD0zk5s0YWdn/uMPdnFhb+//RGvhefLkCbdty0TcsiU/fpy7feZMJgrr00fyA8yaNezryxqN9uHHH/ONG9KOAC+OoKAgIvL29hYP1Wq1UqlUKpW49AIji42N1WWy16pVKzAwMDs7OygoqHr16kSkVCq9vb3v40AIxeboyBcv5j60suK7d9nEhNu25exsZubNm3nwYLlmB6XXokULIjp8+LDcE4FyJyIiQiQNDBw48OnTp8YZdM6cOUQ0c+ZMQw+k0Wj69OlDRCNGjMj/0/T09NjY2MjIyLCwsJCQkKCgoICAAJVK5evr6+3t7enp6eHh4e7u7urqmj+9vUWLFh988IGh5/9S+Okn7tkz9+GhQ9ygAavVzMwJCezryyYmTMSVKnFAABvmTHvPHm7enBcu1AbcmfngQXZxYQsL3rePK1c23Mggja+//pqImjVrli1OVozrjz/+EA1aJ0+erNFFE0oiLi5OpVLZ29uLj5e2bdsGBQUVdl156dKltm3bEpGJiYmfn19mZmbZpi8bmQPuajV/+y0PH64NuM+bx46O3LUrv/kmT53KCxfyH3/wwYN85QqnpT1jb7qAOzOHh7OJCQLuWtHR0TVr1iSi1157DYGSYsrMZHNzbtSIr1xhlingnp7OX3/NNjZMxFZW/Omn2oA7M4eGMhF/+SWbmzMR29vzwoX83H4KvdwePuQmTZiIO3fm1FTtRo0m7IsviMje3j5Cl3EnhZkz2dKSf/9d+7BtWz51SsLdwwvl+++/J6Jp06aJh/Hx8URUuXJleWcFL5X09HR/f387OzsisrKy8vPzS05O1v00JSVFpVJZWFgQka2trUql0k+QAShMgQH3ihV51ChetIgZAffnU0JCglKptLS0NFo41WgyMjJiYmLOnTu3d+/ev/76a9myZV999dXkyZNHjBhx7949tYjZQeFOnTolOqN6enoa8zDx1ltvEdHvutNug/nhhx+IqGrVqg8ePCjjrjIzM+/fv3/lypXjx4//8ssvpqamZmZmt27dkmSeL7WnT7lDB37rLd6wgZct41q1eNOm/zzhzBl+5RVtnmnTprxzp4SDX73Knp7afbdrlxtwZ2Zvb7awYB8f7U/btOGDByUcGSRz584dGxsbItq/f79cc9i8ebM4637//fdLdOi5fv26r6+vqLdBRO7u7iEhIc/8rezsbJVKZWJiQkTt2rW7fPlyGeYuG/kD7pmZ3LQpz53L7u5l2tu1a3zgQO7Dv//m0NAyTvBFEB8f7+LiQkQ9e/bEhWjxZWaylRWvWcM9e7JGI0PAPSSEGzbUHvk8PTk6ms+c4d27c5/wyy98+TJfu8ZeXtqnOTtzcLBRJwnSuHuXGzRgIvbw4H//SNVqtThNr1KlykX9wEDZzJzJvr5cty4/esSMgDsU6bPPPiOiuXPnioeXL18mIhcXF3lnBbJ4rL8Ex1hCQkIaNmwoTs09PT2jo6MLfNq1a9e8vLzE05ydnYNxIIRncXRkf39evVr7ZW6uDbjHxHCNGnznjjbgHh+fex8cyr/NmzcT0SuvvCL3REomPT09KioqT+qxj4+Pp6dnYUnH+qpXr/59njoV8F9hYWGiM+rw4cOzsrKMObRYchEeHm7QUW7evCluS69fv17ynY8cOZKIJk6cKPmeX0YZGbx2LX/8Mc+fz+fPc2oq792b9zl5QgBRUWUcMyWFVSq2sGAitrFhlYozMnjNGr53T/uEBw94wYICRi7knAtk8/rrrxe2isWYtm/fbmVlRURvv/12cT5RIyIivL29RdBcqVR6enqeLLJS87Vr1/J8Zh47dqxRo0Yi80Z0cC3razAu+QPuzLx3L9vZlTXgru/ECa5albt0kWyHz6m0tLTOnTuL5WCJBq4I9oIRAXeNhrt149Wrtfl+BbMAALsPSURBVAH3Ui2dKbHTp7l7d+3RrnXrYt1kFgvExK/07s0XLhh+liCtq1e5WjUmUr/1lm4ZSlZW1qBBg4iodu3ahUWaSmrmTF60iL/4gseNY0bAHYrk4+NDRD/99JN4ePjwYSLqgiPrS+b48eMff/yxubm5u7u7v7//9evXjTDo6dP85psTRDipdevWB4txINyzZ0/z5s3Fr/Tu3fsCDoRQOEdHnjSJv/pK+2Vmpg24M/N33/Hrr2sD7hMnMhHXrMkeHuzry4GBHBbGekssoHwRfSm//PJLuSdSKI1G89NPP3l6enbq1MnZ2Vm3rP6ZzM3Na9Wq1aJFi549ew4fPvzDDz/88ssvlyxZ4ufnp1AoLCwszp8/L/eLK6f2798vckJHjRpl5HXe2dnZFhYWSqUy1ZA37oooJrNw4cKBAweOHDly4sSJX3zxxcKFC1etWrVhw4a9e/dGRERER0cX51b6tWvXTExMLCws7t69a5hX8BL7/HNtbDtPfc/0dJ4zR7vI3db2x7lzS/cWUqs5KIirV2ciViqLVYQ2PZ39/dnOTru83s8Ph7zyYs+ePWI1Z0xMjNxz4YMHD4q7mIMHDy5iSVlYWJjnv42CLSwsvL29r169WvSes7OzO3bsaGpqqlKp9D+xk5OTxWUpEfXp06c8/E8ovnIRcGfmt9+WMuCelsaVKzMRHzsm2T6fO1lZWf379yciR0fHOP3mUFAMIuDOzJGRXLs2//UX9+3L8+axqyurVNo6M5J79Ci3gFtJy6hlZ3NgIFepwkRsaso+Poy+hs+Zc+c0NWp827Hj6NGjdWXR0tPTX3nlFSJycnK6p0tFKInkZA4NZZWKPTz47be1Aff0dHZ05CNHEHAvvy5evBgfHy9vWWqRSfH333+Lh//88w8RDRkyRMYpgZElJSU5OjoSkZmZmTjNVSgUHTt2nD9/flSZs64KpDsOtmhxpHLlygEBAYWFSI4dO5Ynqp6dnR0YGCh64pmamvr4+KDBLxSosJIyzJyVxc2a8bRpPHgwv/uutnCf/pdCwQ0a8MCBPHMm//57zsmTJ1NSUuR6IaCvQ4cORLRbfzVoOTNo0KBWrVrlCaZbWlo6Ojq6u7t7enp6e3v7+vqqVKrAwMCQkJCwsLDIyMjY2NgiEvree+89ImrTps3zW9/WoPbv329tbT18+HDjJ0VGRkYSUaNGjQw6ShHFZMRK2WdycHBo2LBhmzZtevXqNWzYsHHjxj158iT/fnx9fQ36Ql5GixZpY9sWFgXEtmNj2cfn/Cuv0L/da0r0Hj5+nDt10h62OnQoWUwsJoa9vVmhYCKuXZuDgoyUdAiFyc7OFstl5s+fL/dctMLDw0VXjJ49e+Y5C1Kr1SEhIe3btxefMHZ2dr6+vrGxscXZbUZGhq+vr1jU5e7unudaY8OGDeIkv2LFimvXrpXy9RiSnAH3S5c4JITF0SEtjYv3r1Bcn3zCRPzmm1Lu8zmi0WjeeecdcQB+5q0kyE8XcGfmjz5iNzfu25e7ds294mrThufM4UuXpBouMzDwsL19WVuUx8fzBx9oQ/ZVqvDvv29D1f7nyNljx0QazkcffaTbmJSU1K5dOyJq3rx5QkJCcfYTFcWrV7OPD7u6as+WxFfNmtqAOzOHhHD79tymDQLu5c7Zs2fFyrvu3btXrFjxjz/+kGsm4maPrlDgL7/8QkTv6pqlwEtArCV3c3N78uRJSEiIt7e3SGkRXF1dVSqVVDWvMjN54ULWPw4+eZJe2JOzs7ObNWsm2qXmiTIkJCT4+vqKtk6VKlUKCAiQpbUUlGdFBNyZ+cABtrDQ1nDPzuaoKA4JYX9/9vZmNze2ts49qjo7PxV/CzVr1vTw8PD19Q0MDAwLC0tGTqDRpaammpmZmZqaltv/+SdOnCAiGxubP//88+jRo1evXpWkVFdqaqpYaz9r1qyy7+3F8+677xLRe++9Z/yh161bR0Svvfaa4YYoupjMxYsXt23b9scffyxbtmzOnDnTp08fN27csGHDevXq1aZNm4YNGzo4OBQYgs/zR3Tp0iXRHeH5yip9Pty7xz4+2kv3mjU5MDBPtt3xo0d1gcvOnTuf0FVeL9zt27cnTbonLgDr1eO//ipluPzwYXZz01WYuXcKV4zyWbhwobh7V64KRF+8eLFWrVpE1LVrV3GXLiMjIygoqHHjxuIdW61aNZVKVYoyG6GhoXXq1CEia2vrgIAA/R89ePBg8ODBYv9eXl6yVLwsKTkD7ocOMRG3bWuQncfGsrk5m5ry7dsG2X85N336dHFDydBl415U+gH35GSuXZv79uWnTzkkhL29uWLF3MstR0f29eWwsNLf+w0NDW3WrJlSaerqmurhwZGRJfjdX3/lpUs5TzDh0iXu14/btNlLRE2aNNmxY0cpZwZGt2fPHtGK5KuvvtJtjI+Pd3V1JaIOHToUeCWZk5MTERHx888PvLy4Vq3/5OJZWfErr/AXX/D27fzkSW7AnZmHDGETEwTcy5GwsDCxLEmkvIlLaCIaOXKkLOcTokCHbqH6/PnziWjmzJnGnwnI4tdffyUiW1vbK3qrutLT0zdt2jRq1KiKFSvqLs6bN28xe3bmmTOlHys0lJs1035qFec4mJqaOmnSJF1UfenSpXmi6pcvX9b9NeE4KK8ff+QBA3L7uo8bJ0oG/acyrYcH/zel0rAaNfpPwoSNDcfE5Abcmdnbu9CmqdnZfOUKr1/Pc+bwtGk3W7ZsaW5unj9iVb9+/f79+8+YMeOKgRZFwn/t3r1bnCbJPZFCDRkyhIg+//zzsu8qTzLN4cOHTUxMTE1Njx8/Xvadv2Bu3Lgh2n7evHnTyEPPmjVLqn/xAhVRTKZEHj9+HB0dffr06b17927YsGHVqlWafNe0olHKtGnTyjIQFCo8PDetr21bDgvT/6FGowkODq5Xrx4RKRQKLy+v24WEt9LS0vz9/W1tbRs1etXOjv38uIzrrzQaDgriGjXY3d1boVB4e3ujaoLx3b9/X9Qf2759u9xzyevKlSt169YlolatWs2bN0/E34nI0dExICAgPb3QvJlnevLkyahRo8TeBgwYkGehf1BQkK2trTjXkrGFbDHJGXBfsICJeMIEKfepX+Fq5Egm4vIZHEhPTzfc0jYRFjEzM9spaXvrl8f163z1Kn/xRe6Wfft41arch5mZvG0bjxunLeEivpyc+Ntvb504cSL/aUph8kQEdu8u2Ynykyfa0kmurpx/Be0//+zWtZt7/fXXpSoCDoa2adMmEUVauHChbmNMTIz41xw6dKjYkpqaGhYW5u/v7+npKVJUevTYI96KFSqwhwerVBwaynluhM+axStWaL+/eZOrV+eTJ/mTT4wa6YD89Ivc2dra+vr6xsTEaDSawMBAcT5Ro0aN4jRzl1aNGjWISHeK8/HHHxORv7+/kacBsrh+/brIm1u9enWBT8jJyQkLC/P19a1evXqbNr3Eh0+DBiW+A331Knt6ag+jjRvzli0lmOSVK1cGDhwo/nBcXFy2bduW5wkhISGiJA4ReXp6GqgMDhRt1iyuUIHnzdM+7NqVDx1iZ2fWLzptaytzHbwlS/jPP7l0J+bZ2dlRUVEhISH+/v7e3t5ubm7W1ta6yPuHH36IN54RfPnll0Q0ffp0uSdSsIsXLyqVSmtr6/x1P/Q9ffo0NjY2MjJS10PV39/f19fX29tb9FB1dHS0sLDQNTPXEfXrmzRpUpYAx4tKRG0mSBtxKIZhw4YR0f/+9z8D7b+IYjKSi4yMFEnuxawLASWm0XBwMNevn9u09NYt/Z+npqaqVCpLS0sisrGxUalU+rWzNRrN2rVrRVKwQqF4++23Y2IkW+uTlKTx8/MTCWF2dnb+/v7lKs/6hTd69Ggy8FqZsrh586aTk5OIXYjIe1BQkFRLS4ODgytVqiSS5Tdv3qz/o6ioKHd3d/GG9/X1Lc/vSTkD7m+8wUT8+++S7XDqVLa1ZV1Dr4gIbewpKUmyISTx2WefTZo0ydbW1t3d3dfXNygoSMK77mvXrlUoFAqFIigoSKp9vlQyMrhtW65QIc/d5YLl5HBYGPv6atOKO3VaQER169b18fEJCQkp4rMmMTHRz89PZEVVrFix1Ieu0FB2dc3NCsyzsj8zMzMgIEBUADA3N/f19U0qb38MUJDVq1crlUqFQrFK7z7PjRs3XFxcvv3226lTp7Zv3153YBMaN248Y8Yvv/xS4gYD77/PRNy1K6elSfwq4Jk0Gk1ISEjHjh3FP2KFChX8/PwePXqk/5zo6GhR2oWIvL29jVks+JVXXnFycpo5c+bSpUunTJkiLll//vlno00A5JKVlSWqIQ8fPly3sbACZdnZ2QcOxE6YwDVq5N6BrlePp07lsLDcCOYPP/Do0bkPx43j8+fZz48tLJiIK1Zkf/+8NwiLKTQ0VKwBIiIPD488JW5wHJTdrFk8YwbXqaNNaS+HAfe4OLaxYYWCy7JKQ19OTs61a9c2btzYsmXLIu5agYR69OhBRP/884/cEynY22+/TURTpkzR33jz5s2RI0f269evbdu29erV079PU7T8S80yMjJEhd88QwAzX7t2zdTU1Nzc/NZ/I5iGJuoqGKifbdHFZAxB3D8ot/e0XhBpaaxSsZUVE81xd/fz88tz2n/jxo2hQ4eKzwFHR0eRZxAREdG1a1exsW3btocOHTLE1K5fvy4WOhBRvXr1EGgyjqNHjyoUCktLy/KcOnno0CEisre3Dw0NlXznt2/f7tmzZ4EXwtnZ2f7+/qLLVPPmzc9IdQ4nNTkD7nXrMhFfvizZDseNYyKeNCl3S7duTMRLl0o2RNmJ9WX5T6rq1as3fPjwhQsXhoWFpZU29BUaGipiuIt0ZSOghKZO1RaKKdEluVrNYWE8c+ZsseBLqFGjxoQJE/bs2aMfeVer1UFBQdWqVSOiAuvPllRWFgcE5Na99fXNm6187949Hx8fpVJJRDVr1ixp0xWQhchbMTExCQ4OZma1Wq2LugqmpqYdOnSYNm3axo0by9Ja8+5dbtBAe8OmHN8bftGIfjJt27YV/5pVq1YtosidWq0OCAgQqSUNGjQ4cOCAEWZ4584dX19fKysrIhKtBWrXrh0QEIDFpC+DadOmEZGTk5MuNp2YmNi0adM8hRTzUKv50CGeMkV7dqdrHTFhAu/Zw5MmcYUK/NNP2ie7uvJnnzERm5jw++/zw4dlmnBWVlZAQIBYcmtmZubr65un5xuOg8Z35w7v2cO7dvGsWTxvHq9Ywf37M+sF3EeP5o8+0n6ZmckZcJ88mYn43/VjUhLn/F/oL5kEqWk0mu3bt5ubmysUijx3rMuJqKgoUdUkTyGIq1ev5rkYtLS0rFmzpqurq66Hqp+fX0BAQFBQkK6H6pNC1iSeOXNG/E/A+ub8RowYQUST9GMEBvb06VNR58cQeZdSFZMpkQsXLhRnlQZI4ObNmMmTxWdC/fr1xZWgvn379om7uUuXLvX19TUxMSGiKlWqFNFnXip79+4VQxNRz549z507Z9DhXnJqtVpU8FepVHLPpSgHDx4koq5duxpo/xqNRnch3LBhw7D/ZsWeOHFC3N20tLT09/cvh6f3sgXc791jIra3/0+6U4sWvG9f6fcZGckKBVtbs+50a+NGJuKGDbmcdI786aefRBBtw4YNiYmJoaGhKpXK09NTNPnVMTExcXV19fb2DggICA8PL+b75uTJk6L4wKeffmroF/Ki2rGDFQo2NS1ZL+88IiMjVSqVi4uL7h+0UqVK3t7eISEhu3fvbtWqldjYo0ePs2fPSjXzuDgeO5aVSrEK7atVq1bleducOnVKrLshIjc3t8OHD0s1NBiISqUiInNz8+3bt7do0aJmzZo2Njbu7u5+fn4hISGFXXGVwvXr2tTUoUPz9gMAyWVmZur3k6lXr15AQEBxbrJGRka6ubmR4ZfORUdH+/r6ilWrCoXC09Nz/fr1IndGoVD4+Pik6tdugxfOjh07FAqFmZnZMb0D4RtvvEFEnTp1KuYq0chIVqnYxYV1pWYmTeLPP+c6dVjcH3R15bNneexYlu4wyI8ePdJdeVauXDn/lWd4eDiOg4aQkcGRkRwczP7+7OPD7u5sZ6f9p2/VShtwV6u5XTvesCE34L50KW/erP2yspIt4H77NltYsFIp5VtRZ+3atUTk5eUl/a6B+cmTJ4GBgc2aNRNX2kqlUn9dYPnx3nvvEdH48ePzbE9LS/vjjz927NgRHh5+69atsh9bv/76ayKqU6fOc9FHzphE208LCwujtf08ffo0Ebm6uhpi58YsJqPv1VdfJaKPP/7YmIO+tI4fP65bAtuxY8c8HRrS09N1fexFnoHRVu9lZ2cHBgZWrVpVlzv4sIxJE1CIH3/8kYjq1q1bzq+8/v77byIaNmyYQUeJjIxs06aNSDr08/PLysrS/Sg9Pd3X11ehUBBRr1697ty5Y9CZlJRsAfdNm5iI+/TJ3dKkCRNxGXt89u3LRDx/vvahWs1OTkzEmzaVabeS2Lx5s4mJSZ4yETpRUVFBQUG+vr7u7u7iBo6OnZ2dKD4THBxcWCrr9evXRdL0qFGjil9DHPTdv68NO+reP2V09uzZL7/8UrfUnf5d2dCwYUMDLQAMD+dhw66LYiNubm5h+ZqurF69WrSzqFu3bqauhRmUVyLPVNykqVSpkuH+yc6dYwcHJuJ33il9+18oWmpqakBAgCiwSP/2kykibp6Tk7Ns2TL9J+gvnXN1dZW8J/aFCxe8vb3FB4hSqfT09NQNIYYWK6gcHR0NtF61aFlZWTdu3MBpvUHFxaVVr16DiL777jvdxsDAQCKytbW9du1aSXd45gx/8QUvWsSTJvGPP/LcuTxyJDOzq2vJOoQXX0RERLdu3cRfWf611TgOllFWVtbVq1dDQkIWLFjw3nvvjRx5Rr+UkP5XtWrcrRtPnqwNuDPzqVPcqBG3b1++SsqMH89E2rel5E6dOkVELVu2NMjeX2KnTp169913xRosceta1LswMzMzxJL2soiJibGwsDAxMbl69aqhx8rOzhYRujFjxhh6rOfOm2++SUYsubN69Wr6b1k2qdy8eVMk2BmtmIzO6dOnFQqFjY0NzsSMQyyLr169ui60rQsE/fnnn+LT79VXX72uq6dsRAkJCbre9fmLXEHZJSQkVKlShYg2bNgg91yeYfny5UT0wQcfGHqgrKwslUolEmvat2+f56i6ZcsW8cfy888/l6twqGwB908+YaLcvpRPnrBSyZaWXMZrnx07mIhr12bdPY8lS5iIhw+/VKb9ltmBAwdEwuA8Xd+owmVlZYWHhwcEBHh7e+uHa4WaNWt6enqqVKrQ0FDRGyc2NrZBgwZENGjQIKl6FLxs1Gru04eJuEePUnbNKsKlS5fmzJljb2+vVCpHjx6t3+TEEEJCQsT7gYg8PT3zdAhISUkZMmSIiYkJTsfLP41G4+/vP3v2bCJ65513DDrWsWNsa8tEPHmyQcd5GSUnJwcEBNSsWVP8VbZo0aI4/WS++eYbImrWrFlERIT+9hMnTjRp0qTAO/yldubMGW9vb1Fww8zMzNvb+0pB3QDOnz+vn1xgtAY1YllAo0aNnJycKlSo4OPjU+rCa1AEcRx0c3v0xhsf6tZIXbx4UdwqXrt2bVl2LgLuGRns4sL79xsw4C4UfRxMTU3FcbA4Hj9+HB4eHhQU5Ofn5+Xl5ebmJk5ldbp1CyRic3N2dGRPT/bz48BADg1l/eQQXcCdmSdMYIWiHAXcr19nMzM2MSlx+5PCHDlyZMSIEYsXLxYPk5OTFQqFlZVVOVzj/DzKyMgIDg7WrVNRKBQeHh7BwcHieCo6e1eoUOHChQtyzzTX1KlTieitt94yznA3btyQKxpbzom+tUZr++nn50dEX331lbS7laWYjL7BgwcTFtMbV0pKikqlEumYtra2KpUqLi7O1NTU0tJy9+7d8s4tMjKyRo0apqame/bskXcmL54PPviAiHr37i33RJ5NLMqfNWuWeHjv3j0vLy/dQ8kdOXLE0dGRiKysrAICAvRj6/fv3xf5zeUqn0a2gHvPnkzEW7ZoH+7ezUTcpUtZd6vRaHtI6lqCJydzly6DiUjyZMDiu3DhgoODAxXUIb04p+D37t3btGnTp59+2rNnT9EgRcfMzMzNzU3EcTp37owYRKl9+y0TcdWqfO+eoYYYNGgQEW3RvekNKT093d/fX5xzW1lZ5Wm6ItIuRo0aZYSZQNmJah5GuHYKDdU2MJT6AuHlFR8fr1KpxOc/EbVp0yY4OLiYd92PHz8uKlPlD6w/ffrUz89PxMc7dOhwuQy9UMLCwjw9PcX0LCwsfHx8il6Ip59c0Lx589OnT5d66OJITk7+7rvvatSoIWZYq1YtkU1jiAR/yH8czMjIaN26NRGNHTu2jDsXAXdm3r2bW7fmJk0MG3Bn5rS0tFmzZokcWGtr67lz5+r/FMfBZ7p48SLlo1QqGzZs2K9fP19f3+XLl+/ff+X27Wesi/rxR/71V+33jx+zuzufPs1DhrB+Tl7XrlxIDwvDGjGCifi99yTb4aZNm4ho4MCBui3iFD1P8W4oqevXr/v5+Yl0PyKyt7f38fHJ0yFZo9G89dZbRNSwYcNyUmb60aNHtra2CoXC0MdKfUuWLCGiqlWrlqXBzwtJ1Eb76KOPjDCWOLOSPDVVV0xGrhzziIgIhUJha2uLJHcju3LlysCBA8UHoKii7uDgIPekmJk9PDyISPbQ/wvm9OnToglEubp/XJgPP/yQiH744Qfx8Pjx40TUvn17w4345MmTkSNHir8C/SPdo0ePys+fho48AXe1mitUYKLcFJg5c5iIp02TYOeBgUzE3bvnljqaMWMGEY000HrRZ4mOjhZn26+99lr+Rhavv/66o6OjKNceFhZWnIRB/eIzYoF/w4YNq1SpgiNfqZ06xebmrFBwSIgBRzFmwF24ffv2m2++KQpa6R8IEWh4jjx69MjU1NTCwiI5OdkIw23axKamTMQLFxphtBfZ/fv3/fz8dP2x3d3dQ0r++ZKenq4fWM+TdX748GEnJycqbZeY0NDQLl26iOnZ2tr6+vreK/b9Rt3QFhYWK1ZEGKJLSlJSkr+/f6VKlcQMW7VqFRQUlJOTc+7cOXGlIe5DlKsUhudagcfByZOnEJGLi0vZy0fqAu7MPHw4KxQGD7gLMTEx3t7eCoUiTyUBHAefKSMjo1q1ap07dx4zZsw333yzfv36CxcuSLKuJSKCnZzYKO2fixIZyUolm5tzdLRk+7x06RIRNWrUSLdFNDxHMKJ01Gp1aGiop6enOJUlIjc3t8DAwMISjNLT0zt16iSOuYZeTlocX3zxBRENHjzYmINqNJr+/fsT0auvvmrMccu/yMhIkeRe/LOdUhNLrApcLFhqMhaT0SfCvugFLYvQ0NDmzZt/8skn5SeqiIC75DQaTffu3YloxowZcs+lWMS9zHXr1omHISEhRDRo0CBDj7tu3bo8H4biHMzFxcXQQ5eIPAH3Cxe0vUx1PD2ZiP/6S4Kdp6fzwIFzK1Sw17XDunv3rpmZmZmZ2d27dyUYoCTi4+NFimKPHj0KvEpp1KiRfuqQtbV1t27dpk+f/vfffxen3n9qampwcLC41SzKy0BJpaRw48ZMxIbOeDB+wF0ICwvLU1sNgYbnSFBQEBH169fPaCP++isrFNyjx4Lff//daIO+SG7evKlrOkpEHh4eR48eLcsOQ0ND69WrJ1ar5AmsJyUl+fj46GL6xSnjqFarQ0JCRNd7IqpcubJKpUpISCjprMTNAGfn1ywtuVMnlrA47cOHD1Uqlb29vf69Cv1lAfoJ/i1btpSw+/RLq8Dj4LZt3LRpWuPGnpLkZs6fz7qz4pgY7tCBo6LKvtfiOnToUJ43OY6DMhJVJatXZ6Oflf/H0KFMxL6+Uu4zMzPT1NTUxMREd84vPqKXLVsm5TAvgfv37/v7+9evX1+3AMvLy6vARsd5WgXGxcWJI+bw4cPlreKalJQk1rcZvz9zTEyMGDooKMjIQ5dzQ4cONUIYKyUlRaFQWFpa5s+0KzXZi8noiPTVChUqlOLUEcouKyvr3r17cgXck5OTvb29J06cqNuCgLvkdu3aRUQ1atQwWiPcMhK3B/bv3y8erlq1iojeffdd48/kwIEDRNStWzfjD10EeQLua9dGdO167YMPct9D1aszEf+3xmbpiYSC119/Xbdl+PDhZPSKY2lpaZ07dyaiFi1aJBayVjY7OzsyMjIoKMjHx8fV1VVEEHR05dpDQkKKOKq1a9eOiP755x9DvZIX2siRTMRt27K05YiTk5MtLS2rVaum2yJXwD0/BBqeI+KmsZGv1X/++QgRmZiYGKhPS3Z29qlTp86cOWOIncsrJydHXOorlco333xTqliwfmC9a9euN27c0P/pjh07RBPIChUqBAYGFhZiyMrKCgoKatq0qdhPtWrVVCrVkydPyjKx3buf1qnDRGxjw8uXl7Xj7q1b7Oc3V3evol+/fkV0Zz1y5Ii4Yy0S/CW8rH0J5T8OxsRwlSpMxIsXSxmxCgriTz+VrF52WeA4KCO1mgcMYCJu04blyhWJiMhQKNjGhuPiJN6zWP1z6ZK2d9TChQuJaDK6oxRbeHi4t7e3aA8ulgv4+/s/evSowGf6+PjY2NjcunVLf/vFixfFLVuVSmWkSRdENGLp1auXLKP//vvvRGRvb49yRvrOnDkj2n4atOiQCEm3bt1awn3KXkxGX79+/WT/+3qZJSQkyBVwf/jwIRFVqVJFtwUBd8mFhobWr19/6NChck+kuERrMV2RN3Hs8/PzM/5MgoOD8wSBywN5Au7vvfceEel6Ct28Gd+hQ1zTppJ1+3zw4IGlpaWJiUnUvwlUJ0+eFB9MZV8WXUxZWVliQZ+jo2NcsU/nExISduzYMXv27AEDBlSuXFk/+G5iYtK8efNx48atXLkyzwo18bYePXq0AV7HC+6337ShojLUQC5YUlISEdnZ2em2IOAOJZWZmVmhQgUiuinV3chiE/1PzM3Nt2/fLskOU1NTw8LC/P39PT09K1asSERvvPGGJHsuV1599VUbG5t+/fpdlTDl+1/bt2/XD6zr/ygxMXHUqFHiYNG/f/+YmBj9n4qmo87OzuIJ9evXDwgIkGpR1JMn7OPDREzEHh5cjKVZBYiKYl9ftrDg7t1XKBQKT0/PEydOPPO3kpOTfXx8RKmBLl26FCfBH/LLfxxUq7l3bybi/v3LehMlj0GD/tO/R0Y4DsorIYGdnJiIvb3lmUD//v07dBg8d670sUhRb0GXBLNlyxYjL1N7TiUnJwcGBoqKYeKmtYeHR57lTUJSUtLy5cubN2+uuz76448/8jxn+/btpqamCoVi3Tp5wkBPnz4VBUVDQ0NlmQD/m7HRq1cveTP9y5shQ4YYOhgkEjwlPL6Uk2IyOseOHRO3cx4/fiz3XF5GCLi/2MQdu+rVq+u37yrPRP3P+Ph48XDatGlEtFCO6rTLli2jgrpmykuegLs4ndKtsv/zzz9J6gp377zzDhFN06sKL5LNV6xYIeEohdFoNGICVatWLUvYJTY2NiQkxM/Pz93dXZf0l3+NxrVr14ioYsWKqGZbItevs50dE7EhKmcg4A5lJ9aUSZsjU3yi+4W1tXURWcZFu3fv3t9//z1lyhQ3NzfR61LHxcXl448/lnbC5YGoim649eMPHz4cNmyY+H84YMCA2NhY/Z8GBweLO7UVK1Zcs2YNM6empgYEBNSuXVv8ipOTU2BgYHa2ZLe3ddav56pVmYjt7fm/9wKe4exZHj6clUomYlNTHjPmaZ4+eM+0c+dO8QKtra3zdKuHZyrwOCja6lSvLn3yLwLuoHPuHNvYMBEvX27socPCwkS0yBAlEcSl5vz588XDq1evElGDBg0kH+iFcfnyZV9fXxFPJKIaNWr4+fnlSVrXPdPPz0/Xh7x69eqFPZOZly1b1rPnRGvr7H37DPwCCrJ06VIycNe4Z4qPj69evToRLV26VMZplDenT58WSe6GSxUXHwLffvutJHsrP8Vk9Ikw61dffSX3RF5GCLi/8FxdXctJ1OiZsrOzFQqFiYmJruSpaGe6evVq409G5AuWt8U3MgTcU1NTTU1NzczMdOl1U6dOJaK5c+dKOMr58+cVCoWdnZ1uvbxYYuDs7FzSznKlMH36dBFsDQ8Pl2qfGRkZx44dCwgIGDFixF/5qt03a9aMiHbt2iXVcC+8rCzu2JGJePhwg+wfAXcou0mTJhHRl19+KcvoGo1m/PjxIioRERFRzN8SXZ1FjSxdlzMiMjU1dXV19fHxCQoKKk6DiueUaNpxWfIlM/8VHBwssgmqVq2ap+xPTEyMWFxFRG3bttWtlGrTps369esNevh78EBbE5mIBw7kZ/YkO32avbxYoWAiNjdnb+/SF4JPTEz09vYWr7Rfv355EvyhMAUeB0+cYDMzVirZEFdPCLiDvv/9j4nYzIwPHjTquD169DBcqOjHH38konHjxomH2dnZZmZmSqUSnZbye/jwobu7u/joVigUPXr0CA4Ozp/Tl5mZGRwc7OHhod86NSgo6JnZf1OmMBFXrszXrhnsNRQkKytLVJ+Xvdrn5s2bicjS0jLSOF2qnxOenp5E9Nlnnxlo/yI+LtUV3/fff0/lppiMzpEjR0R6R2FVc8FwEHB/4X333XdENGzYMLkn8myxsbHiTrlui/gA3Llzp/EnM2HCBCp/XXNkCLiLYvbt2rXTbRG555KvuevZsycRLVq0SDzMyclp2LAhEW3dulXagfIQfyFmZmbGfJ/NmjWLiN5//32jjfi8O3uWK1ViR0c2UDsKBNyh7Bo0aEBEJ0+elGsCOTk5ogFG1apVCwsiZ2dnh4eHBwQEeHl5Va1aVT+N3dbW1t3d3c/PLyQkpIy1wp8XIsCtW1VnOHFxceKKkYi8vLzy5GkGBQVZWVnVrVuXCmo6alC//cb29tr86LVr2cuLdbX69+/XprKGhWk7pYtKJr6+0vRO1E/wlyWx4rmT/ziYlMQNGjARG2i1PQLukMf06cZuoLpz504iqly5soHake3du5eIunbtqtsibsReuHDBEMM915YvX+7g4GBnZ+fj43P+/Pn8T4iNjfX3969Tp4442Ilnnjt3rpj7V6v51VeZiJ2c2PCH5Vy//PILETVt2tQIOV7PNGbMGHGL4nmpTmAE4eHhCoXC1tbWQGdrovpfKapBZmRkREZGBgcH+/v7+/j4eHh41KxZU5zYbNy40QAzLRMRaZE2YxKKAwH3F979+/fNzMzMzc3L1W22Ap05c4aIWrZsqdvSqlUrIjp9+rTxJ/P6668TUXBwsPGHLoIMAff58+cTka67cVZWlpWVlUKhkPwGaUhICBE1adJEt0V0Lurdu7e0A+lbu3atUqlUKBRG7gt/9uxZsbgSjeMKs2ULHzmi/V6j4cBAvnOHJepoWAAE3KGMxB91zZo15S2RkZmZOWDAACKqU6eO7uIhOTk5NDRUpVJ5eHhYWVnpB9lFq2d/f/+wsLCX7epOrVYrlUqlUqn7HP71118///zzktZIKSaNRrN8+XIbGxvxr5PnprW4yT9+/HhDDF2027e1FcCXLmVLS+7QgUXM4ddfefRo7txZG2q3t+fPP2dpzyTv378vyrOK+xAF9tl7mT3zOKjRcEAAu7uzgQrUIeAOeeTkcL9+TMSdOkncu74wHTt2JKIFCxYYaP8xMTFEVK1aNd2WwYMHU7kpvlyudOjQgYj279+fZ7tarQ4NDfXy8tIVo2vSpElAQEBKSkpJh0hJ4datmYi7dzfSG0ytVotbLPkry8siKSlJpNvPmTNH7rmUI+LM1hBLSB8/fiwyToo+e09PTz937tz69eu//fbbsWPHduvWTdT/yU80EN6xY4f+r2dkZMi+WnT//v1EVKlSpeTkZHln8rJBwP1lIM4cdD0vyy1R/9bDw0O3RfQvkWW1cbdu3YjowIEDxh+6CDIE3EX9WV322alTp0QWgOQDqdXqRYsW6XchT0xMtLCwsLS09PDw+Oqrr3bs2CFtr489e/aYm5vrp9Ubk5OTExEdNPK63OdHz55cpYo2w0WtZjLwex8BdyijOXPmENF7770n90Q4LS1NLPquV6/eu+++26JFC6VSqbsSUCqVzZs3/+CDD9asWVNYKdWXRHx8vEic1G0RV3Tbtm0z3KDR0dHdu3cnol9//VV/u2hOHliieurS0Wh461a+dYudnPiNN7SJ7b/+ymPG8Ouvc5UqrFKx4VptBQUF2dnZiZvQmzdvNtQwz6FiHgcNl5SJgDvkFx/P9etzx473Jk36xNBjbdq0SdwYTktLM9AQGo1GlCPXLTwSDVG++eYbA434/BINZvVXHickJCxYsEBc0RCRhYXFiBEjytgWJTaW69RhIh4zpswzLoZ169YRkaOjoyHapZTOoUOHlEqlqampjCsmyxvR9rNChQqSt/08ePAgEXXs2FG3JSsrKyoqKjQ0NDAw0NfX18PDw9HRUf9EWsfc3NzR0dHT09PPzy8wMDA0NDQqKmrBggVE1KlTJ90OT548Wbt27Z49e0o781J45ZVXSLpq9VBMCLi/DDZu3EhEzZs3l3siz7BmzRrS6zCh0WjMzMwUCoUsrSXF3e5Lly4Zf+giyBBwF83NdK1ERTPZMYY/CcrKyho9erS4E5snH9PLyysgICAsLOzp06el3v/JkyfFGfann34q4bSLb+bMmUQ0ZcoUWUYv/3r25Nde055tv+QB97/+SnNyypg4EfkI5ZrI/AoJCZF7IszMSUlJjRs31mXfmJqaurm5+fr6BgcHI4lY58qVK0TUuHFj3Rbxj3j8+HGDjpuTk7Nu3bo8G4cOHUpEeSq8G5kIuN+8yTVrclycNuB+7x4bLNKV6+bNm6JMMxF5e3sj/Uow8nEwPwTcoUBnzjy0trYx9D1CtVotVjovN3Cf1jZt2uh/8q9cuZKI3nnnHYMO+jwS12W/67Vs3r17t/jcrlWrlkql0s+aKouICG2HXiMEBtu2bSvj3e7C+Pr6ElHr1q3RV1ynb9++JHV7vZycnK+//pqIOnfuPHny5P79+zs5OekWauSJrTdp0mTIkCHTp08PDAzcu3dvYRnraWlp1apV049pJiUliWiG7Gl2ooJWlSpVyhJCgZKSMeAeH5/j5JTh5pbbkuStt1KcnDL27kWTEollZWWJSq3F76MmC9FkYurUqeKhjG9OZhY91ctbaKKAm6sGde/evdjY2IoVKzo7O4stJ06cICKxwNNw0tLSXn311dWrV9vY2CxevDg4OHj69Oldu3a1traOi4v7+++/p06d2q1bNwcHB3d392nTpv311183b94s/v5v3Ljh6emZmpo6atSoefPmGe6FFEEsHRDhFVkmUP5NmkTHjtGhQ3LPQ25ZWdZRURZJSXZyTwQK9eDBg/DwcCsrq969e8s9FyKiChUqNG7c+MGDB6+99trhw4dTU1PDw8OXLFni5eWla8sJjx49IqIqVaoUscUQTExMRKl9feKMpzz86zRoQB9+SNOnax/WrEnW1kYYtMG+ffsCAwOtra3XrFnTokULsfYZcByEcqh166orVwYS0aRJk8LCwgw0yl9//XXu3Ln69euPGzfOQEMIIsfq2rVrBT4EHXFwFAdKwcPDY9y4cVu2bLl79+7s2bNFnLHs2raldevIxIQ++4z+/FOSXRZs27Ztp0+frlGjhriXUH7Mnj3bzs7Ozc0tOztb7rmUF7NnzyaigICAJ0+elG4PiYmJERERq1ev/uSTT4YPH96uXbsKFSrMmjXLxsbm2LFjP/zww86dO6OionJycmrWrOnh4eHj4+Pv7x8cHBwZGZmenn758uXNmzcvXLjQx8enV69eou9OftbW1tOnT9dNmIgqVKgwZcoUIhJrYY0mICDgjz/+0N/i7OxsZWU1ePBgscQfXnjMJlFRFrdv51YTffTINirKQq22KuK3oBTMzMxGjRpFRL/99pvccymKWN6t6+Im1kBIdewukezs7CdPnpiamoqwe/lRwB1XgxILuDp27KhrND9z5swOHTqIm8wGkpCQMHjw4GPHjlWuXHnLli2iR6uXlxcRqdXqK1euREREREREHDly5MyZM0ePHj169Kj4RXt7+/bt27u7u7u5uXXp0qWwyMW9e/f69Onz8OHDQYMG/fbbb7qXZmQdO3asW7fu3bt3w8PD27dvL8scyjlzc1qyhCZMoNOn5Z4KQJG2bNmi0Wj69OljbYTYZEHOnz/v6OgoVu0QUWZmplgkGxAQIIqBQn75Y9xii6ED7gUyTqy/mGbOpFatyMbGqIMqFAofH5+uXbu+88474eHhvXv3fu+99xYvXizX31Q5geMglE8jR448derUkiVLhg8fHh4eLpbDSkitVovMU5VKZWFhodseEhLSunXrevXqSThW48aNSS/CLh5evXpVwiFeDOJwKQ6UgkKhWLVqlSHGGjSI5s+nGTNo3Dhq3pxatDDEIOTv709EM2fOtLS0NMgAxbN9+/bbt2+/++67umn8+eefKSkpERERoiA4EFHnzp179+69d+/eH3744csvvyz6yQ8fPrx27dr1/0pPT8/zNIVCYWFhkZaWNmjQoJ49ezZu3Lhx48YNGzYsYzx64sSJ33///dGjR/ft29erVy8imjJlSkBAwJ49ew4fPty1a9ey7LyYzp8/7+fnl52d3aJFC7FUiJl9fHyePn2akJBQYIUcACiLsWPHLl68+H//+9+CBQvkPaYUIU+EXcaAu2gwW7Vq1fL2cWTsgPuGDRuISKy1FFq0aNHCQGc9RER08+bN/v37X7t2rWHDhjt37hRnvTomJibNmjVr1qyZyERISUk5d+6cCL4fOnTowYMHe/bs2bNnj3hyzZo1u3btKuLv7du3F+frycnJgwYNunXrVocOHdatW1fgqjHjUCgUr7322g8//LBhwwYE3AvTrx+5utLy5XLPA6BIW7ZsISLRL0UWQ4cOjY2NPXPmTNOmTYlo//79KSkpbdq0QbS9CHli3NnZ2cnJyWZmZhUqVDD+ZMpPhjsRWVjQDz/QwIE0apSxh3Z1dT169Oi8efPmzZu3cuXKw4cPf/jhh23atKn8L7nukcsIx0EonxYuXHj+/Pn9+/d7eXnt379fPyxeUtnZ2Xfv3o2Ojr548eKlS5eio6OvXLmSmJhYvXp1b29v3dN27tz5+uuv169f/8CBA3Xq1JHiRRD9m9Kui7DXqFGjYsWKjx8/fvToUTm5CVpO5M9wN6jp0ykqirKyyNKSbt8m3enMuXPk6kplD0QfPHjw8OHDlStX9vHxKeu+yoCZP/300/Pnz1taWr777rtElJ2dvXDhQiL64osvXsJDXhG+/vrrvXv3Llq0aPLkyRUrVhQbnzx5EhUVFf2vixcvRkZGikqheTg4ODg6Ojo6Orq6ujZr1szR0dHFxaVhw4aZmZkrV66sVauWVPO0sbGZOnXqZ599NmvWLBFwt7e39/X1/eqrr+bOnbtz506pBipMTk7OuHHjsrKyJk2aJKLtRLRq1aqdO3dWrlxZVM0CAGk1b97czc0tIiIiJCQk/1LmcqJcBdzlGrpoRooOZ2VliTVTJ0+erF69+qpVqxo2bDh+/HhD338IDw/39PR88OBBu3bttm7dWlj7bx07O7uuXbt27dpVLNS6devW8ePHT548eeLEidOnT4viM3///TcRWVlZubm5tW3b9sCBA+fPn3d2dt66dauNkfP38hk2bJgIuIsMCyjQ4sXUpYvckwAo3NOnT/fs2aNQKETLTeOLjIyMjo6uVq2aiBpQObgB8FwQUQNdjFt0zKtUqZLxr2+Z+fHjx5SvZ4mRKZVkb6/9vk8fevttYxSTyc/MzGz27NnDhg0bPXp0VFTUpEmT9H9qaWnp4OBQq1atmjVrOvyXbmPVqlVfsKxAuY6D9epdc3dXmpvbET3jfAxeQqampn///Xf79u2PHTs2bdq0FStWFPMXY2Njr/3r6tWrV69evXXrVk5OTp6n2draPnjwYMmSJdP/LXHVpUsXNze3EydO9OzZ88CBA1Kl1edPaXd2dj516tS1a9cQcNdn5IA7ES1bRkoljRhB+/bR5csk1p337UvnzlGNGiXeW3Jycnx8/KNHjx49eiTavRLRlClTdKsDZbF169bz58/XqVNn5MiRYsv//ve/mzdvNmnSRDR3AZ0uXbr06NHjwIEDw4cPr1279tWrV69fv17gG7JSpUrOzs7Ozs6NGzd2/lf+dIr79+8/evRInD9IO9XJkycvXrz4yJEjBw8eFK1Kp02btmTJkl27dh05csTd3V3a4fL45ptvwsPDGzRo8O2334otsbGxH3/8MREtX778mQEWACidd999NyIi4rfffkPAvaQzKT8MHnCPj4//6aefVqxYcf/+fSKqXr26vb39tWvX3n///V9//XXJkiWGq96+d+/eYcOGJScn9+7de+PGjaXIMWzQoEGDBg3eeustIsrJybl69apIfj98+PCVK1cOHz58+PDhOnXqVK5cOTQ0VFe6SEbdunWrVq3ajRs3Lly4YNB1A8+1OnVo8mT6+OOCf/rgAeG0AeS1Z8+e9PT0Dh06SL6mvphCQkKIaPDgwbp7otu3bycE3J8lT1K5jEVdkpKSsrOz7e3t5a2qaWtL8+fnPpw/n6KiZJtMy5Ytjx8/3qVLlzNnztSrV8/S0jIhISEhISEjIyMuLi4uLq7oXxfp8FWqVNGlxlepUqVq1aouLi7GWc0traKPg4Zz585HR45sy8raQuRp7LHheVC5cuWNGze6u7v/+OOPbdu2HT9+fJ4nZGZm3rhxQySti+TTCxcuJCcn599VzZo1Rc6pLv/04MGD48ePnzFjhlqtFqGiChUq7Nq1q0+fPqdOnRIxd0nCZC4uLgqF4vr16xqNRhxGXVxcTp06dfXq1S7I+NBj/IC7LtGrbl36/HMq7J5OWholJFB8PMXHU0ICPXpECQmkVgdcv340Pj4+ISFBRNizsrL0f6tChQq2trZ5UiUiIyN379790UcfGeT1FGT+/PlENGPGDHECwMziTsCnn35a3hbalwcqlerhw4ehoaG6LRYWFrVr19YlresUZ2+RkZFE1Lx5c8nnaWtrO2XKlC+++EJk5RORvb39pEmT5s6d+80332zbtk3yEXXOnz8/b948hUKxcuVKcTOJmcePH//kyZMhQ4a8+eabhhsa4CU3cuTImTNn7t69++7du4W1eZAXAu7PZMCA+/Xr15ctW7Zq1SpR4KxVq1Yffviht7e3paXl+vXrZ86ceeLEic6dO7/xxhsLFy6UtngiEaX++efbvr7Jycne3t6//PJL2XPTTE1N9YvPJCYmnjx5cs2aNWvXrm3WrFk5KbNgYmLy6quv/vzzzxs2bEDAPY+ffiLdZdTUqdSrF+3fT8nJ9Oqr2o1paTR2LB07RmfPkqxZofCykz2dPM8Ezp49e+vWrZo1a7q5uck1pedCnortMhZ1KScF3K9fp+nT6dw57cOTJ+nHH8nwS58LZWlpOX/+/L59+6anp1+6dEksSnv69GliYmJcXNy9e/cS/0u3UURYEhIS8rc97Nix4/Hjx+V4NaWR5zjYsyd9/z3VrUvlNW8GXkaWlpYLFiyYOHHipEmTHBwcLC0tr169qstev3fvXv5fqVKliouLi4uLi6iY7OLi0qhRo/y3Gx0dHZn5vffe++STT6ytrcViF3t7+927d/fp0yc8PFzE3GvWrFnGl2BnZ1ejRo24uLiYmBhxgZOnqjsIxg+460ydSl9/TceOUefORESRkTR6NMXHa2PrT58W8CudOx89duxv/S12dnbizqu4F3v69OmLFy9OnTr14MGDJiYmRJSYmOju7p6SktKiRYs+ffoY4XXt27fvyJEjlStX1nUG3rhx48WLF+vVq/f2228bYQLPnR49ely4cOGLL75wdHQUCexl+QQwXMCdiCZPnrxo0aJ9+/YdOnSoe/fu9G+S+/bt20+ePNmhQwdDDKpfTEb3HkYxGQDjqFix4pAhQ9atW7dmzZrPPvtM7ukUIE+YO08PVRlnUo6wAYSFhXl6eopF9Eql0sPDIyQkRKPR6D8nLS1NpVKJ8v82NjYqlerp06eSzcDfnxWK/a1bf/bJJ3nGlVZGRoZInL9x44ZuY2Ji4o4dOww3aNF27NhBRC1atJBrAs+LkyfZxITt7Tk6WrslO5vd3ZmIhw6VYP+i2J+dnZ1uy6BBg4hoy5YtEuy9bFavZiIeNUrueUBBNBqNSGw/e/asLBN48OCBUqm0srJKTU0VW7766isiev/992WZz3Pk1VdfJaJNmzaJh+vXryeiYcOGGX8mIgTcoUMH4w+t78QJbtky9+E//3C/fvLN5l+icfqSJUuK/ysajSY+Pv7KlStHjhzZvHnzr7/+umDBgvHjx4uQytGjRw03W4MKCWGi/xwHDa08HQdXE9EoHAjLHw8PD3Nz8yFDhoiLiDyXLebm5o6Ojp6enn5+foGBgaGhoXFxcSXa/6pVq5RKpUKhWL58uW5jYmKiuKPs4uJS0h0WqE+fPi4uLrrj+F9//UVEQyU5v3yBPHjwgIiqVq1q5HHffpuDg/mff7h1a87O5mrVeMsWJsr9srbmunW5TRvu149HjGBfX/7qK/7994Pr1q3bt2/f+fPnY2NjMzIy8uw2MTFRZCD6+/vrNs6bN4+Iateu/fjxYyO8NA8PDyKaO3eubku7du2IaMWKFUYYHcSinGXLlhlo/+KE3MPDQ7fl008/JaLBgwcbdMQGDRqkpKSILTExMaLe/V9//WWgQaFoIqHHwcHB+EPHx7O5OdeunbvFw4OJePdu48/lZSGaNDg7Oxs0qlk6qampRGRlZaXbIu7srlu3zviT8fPzI6JvvvnG+EMXTcqAe0ZGRlBQkC6x2tLS0tvb++LFi0X8yp07d3TNi5ycnIKDg8s6CY2GZ8xgIlYoeMGCsu6tGMS7asG/Y6Wnp9vZ2ZmYmDx48MAIo+eXlZXl4OBARFeuXJFlAs+RN99kIm7fnrOytFvu3OFKlZiIf/yxrDtHwB1K5+TJk0RUr149uQ6rv/zyCxENGjRIt0VcrW3dulWW+TxHRGmRQ4cOiYeBgYFE9N577xl/Jlu3biWigQMHGn9ofSdOcNOmfPeu9uuXX8pFwP2ff/4hojp16mRmZpZ6J9nZ2aI5+fjx4yWcm/G99Vbe46BBlafjIALu5VF0dLS44/vgwYMtW7Z07969c+fOY8aMWbZs2a5du27evKlWq8s+ysqVKxUKhUKh0I9CPnz4UFzCtGjRIj4+vuyj6Dtz5gwRNWvWTNrdPu9ycnKUSqWJiYkk/6zFJwLuzOzpycuXc7VqfPUq79zJp0/znTucllb6PYeGhioUCgsLi3PnzoktarW6W7duROTt7S3F3Ity4sQJIqpQoUJiYqLYItKwqlevnp6ebujRgf+9o3/gwAED7f/JkyfiMj8sLExsefTokZ2dHRGdPHlS8uHOnTtnbm6uUCh2/xtP1Wg0/fv3J6JXX31V8uGgmGQMuOeHgLuhqdVqcStX91dffkRHR4sbcvobU1NTpUykLjbRJHzVqlXGH7po0pRye/jw4fz58x0dHd95550LFy7UqFFDpVLFxMSsXr3a1dW1iF+sW7fu6tWr9+zZ07x586ioqEnvvpvxxht06VIp55GVRSNG0MKFZG5O//sfzZhRyv2UxLBhw4ho48aN4qGVlVX37t3VarW4pDc+MzMzcUEr1wSeIz/9RPXr06lT9NVX2i1165JYGzdtGp0/L+PU4OUlyrkMGTLE+J029SegqycTFxcXERFhbW3ds2dPWebzHMlTyEXGui4yVrPJ484dGjVK+7V4sdyzISKiIUOGtGjRIiYmZs2aNaXeydy5c0+dOtWgQYPvv/9ewrkZ348/UoMG/zkOAsjol19+0Wg0w4cPr1atmqen58GDB5VK5Zo1a5ydnfv27dugQQNJilC/9957AQEBzDxx4kRxZ5SIqlatunfv3ubNm1+4cMHDw0N8ikrF2dlZVHVXq9US7vZ5Z2JiUrFiRbVanZiYKMsEli6l+fMpI4MqVKB+/ahNG6pbt0zNvT08PD744IPMzMzRo0eLCu9KpfL333+3tbVds2bN33///cw9lMU333xDRJMmTRIJyLot06dPt7KyMujQQETMfOnSJSIqOvpRFvb29pMnTyaiuXPnii2VK1eeMGEC/ftvLSFdMZmJEyfmLyaj++QEAINSKpWiovVvv/0m91zyKrCKi42NjahiUh4mUy6UMWB/9epVX19f3VG8TZs2QUFBWSVPlMrOzv7hhx+ODxjARGxqyr6+XNKVdykp3LcvE7GtLe/aVdIJlFpaWpq1tbVCobh7967YIvJD+8mXyCei/7IXE3guhIWxiQkrlbxnT+7G8eOZiJs147KkgyDDHUqndevWRLTLiB9i+jIyMmxtbfU/0MQpNTJZikNUrNMtbxJN0hYuXGj8mYgo8LRp04w/tL7yWVKGmdeuXUtETk5O2dnZpfj106dPm5mZKZXK/fv3Sz01GYSFsalp3uOgVFJSUvT/J5en4yAy3Mud7OxsUVFNl8Z1+fJlhUJRoUIFXYkzCS1evJiIlEplUFCQbuODBw9EsKx169YJCQlSjXX06FFra2szM7Pbt29Ltc8Xg6hub+RVuboMd2b++msmYinKCGmlpaWJF/XZZ5/pNi5fvpyIqlSpIknBogJdunRJqVRaWlrqhjh69CgRVapUKTk52UCDgr7bt28TUY0aNQw6ypMnT8QNlcOHD4st8fHx4tQ9PDxcwoFQTKbcQob7yyY6OlqhUNjY2JS3D3NxF1nGsKc+sfL4+PHjck8kr1IG3DUaTWhoqH6hdk9Pz9DQ0LJO5/Fj9vVlU1Mm4kqVOCCAc3KK9Yv37nHr1kzENWvymTNlnUYJvfbaa/T/9u47rsry/+P457CX2xT3Vpy5F7hRHOBKzCyszNB+Gu2w0mhZ2JKmqaVhVoYbd+7ALU5cuAdOFEQFGedcvz9uvkfCkcp9zkF8PR89engubu7rOoLn3Od9X9fnylWvLSkpycHBwdHR0TrV+m6Vlpbm7u5uMBi4rL8XYWFKRJUtq86dy2m5fl3VratE1JtvPviy0uvXr/v4+OR+ASo4QcPJk2ruXKXrVRn0cezYMYPB4OHhkac2aExMzMmTJ60wgMWLF4tI8+bNzS3+/v5SINdnFTRGo9He3t5gMJjjxWeffVZEpk2bZv3BaPvq5K7iahMFNnDPzs6uVauWiPzxxx/3+703btzQ9kN7/fXXLTE2m/jgAyWiKlRQehXSSE5OjoqKCgoKcnd3z337sOC8DxK4F0ALFiwQkTp16pgrqr322msiMmLECAv1qN2btLe3/+2338yN586dq1u3rjaLKP+Z+4YNG/z8/LRpSV9//XU+z1b4tG3bNnd0aAXbt6tFi9SRIzkPb9xQkyfnq4zMrTZs2GBvb29nZ2cuMWcymXr06CGWrLU9ePBgEQkJCTG3aD2GhYVZqEfkoV1Cd+nSxdIdjRkzRv5dNvCNN94QkSeeeEKvLigmU5AVqMA9NlbNnasuXLD1OAo7rTSZTT5U3sn69eurVq1atWpVV1fX3BdRVpCYmHjrnKcqVaqIyFGrbUt1z+47cNcKtdevX1+7dvTw8AgODt6/f7+eg9q/X3XvnrNtTd26atmy/zh+3z5VpUrOwceP6zmSe6N9bOvcubO5pXPnziIyffp06w9GM2DAABHRFszi7oxG1amTElE9eihz0eydO1XHjgnu7mXN+x/mX0EIGv75R4kocy3uDz5Q779vw+FAKaWuX78eExMTHh7u7+9fpEiRxx57LHfcoJRat26dq6trnTp1rLAzxIgRI0Tkww8/1B6mpaW5ubnZ2dlZbk5WoXHr5a8N/8kPHz5cRCbmfzOK/CmwgbtSasqUKSJSr169+60drC1c8PLyKkwlcY1G1blz3vfBB3Dx4sUpU6Z0797dyclJu0q0s7MbP368+QCb/KPIzMycMGFC7s3tFYF7gaRtlGpeFZSRkaEtG9J32mYeX3zxhZa5z5gxw9x49uxZLy8vEWnatOkDz57ZuHGjdsda+7gUGhqq45T5QkP7oc+fP9863V25osqVU5UrW/zz4ujRo0WkevXq5tnBiYmJJUuWFJFffvlF9+6OHDmiTfY6/r8ntmPHDm1GpO4bEuBOxo8fLyKvvPKKpTu6dOlSnrrt586d0xbcmzcPyI+srCxt96ZRo0aZGydPniwipUqVOmeeoQYbuVPgPmnSpLi4OKsN48UXVZUqyrz8rEYNdeiQ1Tp/5EydOlVE2rdvb+uBKKXU9evXX331Va3En7arhHZFnZKSYumujxw5opVXKVu2bJ5K8VrNFUssiMyn+wjcz507FxYWZi5HW65cubCwMAteO0ZHq+rVc2J3f391p5sV2dmqTh0lotq0UUlJlhrMXSUnJzs5Odnb21/43909beWgDe8A//HHHwXn32TBd+qUKlVKiahvvrnZ+M0332gvIsd1uiovIIF75cqqTp2cajkE7rZy/vz5uXPnvv76661atXJ0dMxd5kt7twgNDTUfnJKS0rRpUxFp1KiRRdfNmEymihUrisj27du1Fm2+YevWrS3XaaFx8OBBEalVq5a5pXXr1iKyceNG6w/miSeeEJFZs2ZZv+vcUlP/tZImKUnt3m270fxbZmamNhXivoKe2NhYe3t7BweHzZs3W25sNmF+H/z22/v+3jNn1A8/qGHDltrb22uvYw4ODr6+vhMnTszzydz674MrVqzQViT07ds3dzuBe0Fz9uxZR0dHJycn863lmTNnam98lu76888/1zL33EteTp06VaNGDRFp06bN/S7iJmq/d0OHDrXmKrqXX1Yiyts7X3cW70VGRsbjjz8uIiNHjjQ3zpgxQ/uVyHP/L/+Cg4NF5IUXXjC3aFOv3nzzTX07wl1odZYnT55shb7eeeedPAsmXn31VREJDAzM/8nNxWTML30UkylQbhu4Hz582NnZ2WAwBAUFWWea1IsvqmrV1OjROQ8J3C3q2rVrRYoU0TaDse1I1q9fX6dOHe1SPzQ0VJuN7eHhISKVK1devXq1hfrdtm1bYGCglvLb2dkNGDAg90eM1NRUEXFzc7NQ7/lxr4H7jBkzzPOVWrdu/ddffz1Y5dP7k56uPv5YubsrEeXqqn76SSmlfvxRdeigatdW3bop7TPbpk1q0CCdVwPeJ22Nlfl68ezZs1odPVsVWkpNTXVxcbGzsztz5oxNBvDQmTtXiShnZ7VrV84vtslk6tOnj4i0a9cu+x5LG92VtqbYOkFDQoIKDLxNPbV//lGdOqmXXlLvvacUgbt1JZ0+snxB1PPPP6+9S5k5ODg0b978lVdemTVr1pkzZ/7++29nZ2cR+eyzz8zfe+HCBW2Fe+vWrc2zpXS3bds2EalQoYJ5fv2wYcNEZNy4cRbqsTDRiqXmvjlRs2ZNEUlISLD+YDp06CAihaPCuOVod1VbtGhxj8dfu3ZN+5kW1hX65vfBe6zMd/KkiohQvr45hQAbNEi1t7f39vaOiIi40ww4674PJgQGBmovs7Vq1Yoy12xWShG4FzzaHoC50yJfX18R+eGHH6zQ+/vvv69l7rnjpJMnT1avXl1E2rZte4/X80Tt9+vtt98WkfDwcCv0FRen7O2Vg4PaudMKvan4+HgXFxeDwbBkyRJz48CBA0XEx8fnfhdX3cWZM2dcXFzs7e0PHjyotRw4cMDOzs7Z2TkxMVGvXvCftMkxGzZssEJfSUlJeSa5nz171tXV1WAw7M7f1AaKyRR8tw3cr127FhYWpn2EdHd3DwsLy1OeVHcvvqi++UZVrqzi45UicLe8559/XkTe00IcW0hLSwsNDdXm1jRo0GDr1q3mLx09etTHx0dEDAZDSEiIvr97MTEx5krmTk5OQUFBt5ZX2b17t4hUq1ZNx371cq+B+/Hjx52cnPQp1H6/EhNVUJAyGNTSpWrqVNW4sTpwQBmNKiZGlSunCsYsM22ZVe5ialpRwjwf8Czn1nJF2hX/T9pdCtyDl15S7dvvqFevsTnQvHz5cuXKlSVXhY0HYC5l6+joWLp06RYtWuzbt0+nId9GSop6/XXl6KhE1K0rHLTAPSlJlS+v9u0jcL8/l88c+2ZY62+Gtf5xVOdFP46+cf0/Pn4bs7MunDiwbelvc796+evnmn3gX+7zkTmfw93d3b29vUNDQ6Ojo5OTk/N845w5c7Q3swkTJpgbT506VbVqVRHx9fW10CVUWFiYiLz00ks54zcaPT09RSSf1+6PiOjoaBHx9/c3t2izgWyymYc2pZcf3N2lp6eXK1dORO7xwubFF18UkSZNmjzAzvAPi5deUiKqVi11l/t6ly+r8HDVooUyGHJWIbq6qn791IwZpjstJs39PvjYY49Z+n3w6tWr5o+dHh4et37sPHDgQIsWLSpXrpyfN3foyGQyaXezzBX/jx49amdn5+rqarWXUK0ssqOjY+5VL0ePHtWuA3O/tt8WUfuD0apwvPXWW5buyGhUrVtr+zNZuqubPv30U20eg/mX4eLFi9qVlY4F/bWtDp588klzy3PPPZf7cg5WYDQatR3UrFBUQaPdrMq9eCskJKRo0aL5CR8oJlPwJScnv/baa0WLFtUub/JU1Th06JB5qkHNmjUtmkS9+KKaOlVNn658fJTJROBucf/884/2hqLLTND7devE9jwHZGVlhYeHawv369evb14u/8CMRmN0dLS2Xly7sgoJCTl16lSewy5evBgWFlaiRImKFSvmnq1YcNxHSZkkGxVsybF3r1JKeXmp3FP2vvlG6bFyKv8uXryYZ6PUL7/8UkQGDRpkhd5/++03R0fHKVOm5G58//33HR0dC+tEPEtIS0vTUqphw4aZG9euXattfHS/c0VvW8rW3d1dRJydnUNDQ3Vf/WA0qshIVbasElF2diooSOW5LjKZcgJ3pdSUKapzZwL3+3Px1KFvX2yjlMpMvz5r/PAVv95mR8ob11MPbVu9esbnv77zxLgnqn/gX87835dDGs+e8GZERMS2bdv+c4XQtGnTDAaDwWCYOnWqufHQoUPa57S+fftaYo2RNjfHPBVr06ZNIlKlShXdOyqUpk2bJiLPPvus9jArK8tgMNjb2+s4i+3eab8nrHD6T5999pmIdOzY8T+P/Pvvvw0Gg7Ozc+G+jZGerh5/XImoF1+84zHJycrJKSdn9/dXkZHqTu9mtngfNEZGRpYtW1brKygoKE9AcOnSpZdfftnBwUFEKlWqlJGRoe8A8GC2r1ljZzBUrVrV/IL53nvv5X5FtQ5tu2knJ6cFCxaYG48fP96oUaO7zFolas+PX375RUSef/55S3f0ww9KRFWqdLe7ibozGo3t27fPs5hm2bJl2rvJnj178t9FUlKStpbfXLv55MmTWqVTm1ceeKQkJCSISOXKla3W48WLFz08PAwGg3mXi6SkpHzeofzpp5+0WaLmyWcUkyk4srOzJ02apG1tohXWEJHq1avPmTMnz5ErV65s2LChdkDnzp0tceFqMuUE7iaT6tRJTZ9O4G4NWuRtnppgHXeZ2H6rLVu2aIPUcsgHuzeQkZERGRmpLe4Xkccee+y2lcyPHz8eEhLi5uamHebt7X3lypUH6M7S7nvTVFvKylIODir3feOYGNWgge0G9C8dO3YUEfOeS8eOHTMYDB4eHnluPOpu0aJF2kfH3FukJiQklC5dOs8yRvyn+Ph47R9t7jqe2gewmjVr3kvEefHixcjISH9/f3NhbvMS+8TExDNnzgQHB2svWKVLl46IiNDrFuWmTapVq5zJhq1aqU2b/vVVLYtv1kz9/XdO4G40qjZtVIsWBO73wRy4K6XW/fl19HdvXr9yae5Xoxb9OHriqM6Htq36KcT3w94Vb4bsAeV/eKlD9Hdv7lwVdfnMsfvtLiIiQvv9mT17trlx9+7d2qZbQ4YMMelagjQxMVHbX8v8kqXlHS+//LKOvRRi2s57b7zxhvbQZDKdOnVKl4/TD0DLNy29mLQQuHLlirbbT0xMzF0OS05O1rY3MG/nWIjFxys3NyWicr0N5vX552rBAnWnqxvbvQ9uatWqldZjq1atNv37jVDL4suUKWPO4q2wDTXu1aBBmVWrbv3fRjpZWVkVKlT4z3+YlqDtdenk5JS78NGd7psSteeftlVM7lLUlnDunCpRQomouXMt2s9tHDlyRAvEc081feGFF0SkadOm+V8vpa3MyL0CY+TIkdpVYj7PjPsyb948+fdidyt44403ROSJJ57Q64RZWVnjxo0zTzKjmEzBsXbt2saNG2tvNx06dNixY8fq1au1jSK0iSM7/10qKysry5zOOzg4BAcHm/cazKczZ1RwsAoNzQnclVLx8apqVVW+PIG7xY0bN05EvLy8Fi5caJ1PeevXr69du7Z5Yvu9zFNJS0sLCQnRKsC0bdv2yJEj997d1atXIyIitM9cIlK1atWIiIjrt1QOP3ToUEhIiLaSVYvao6Oj7++JWdFDFbhnZysnJ5X7WnbtWtWkie0G9C/ffvutiPTv39/cok0XteiPf/PmzdpksTFjxpgbz58/X6tWLRHx9fVl9tb9+vHHH0WkePHix44d01qysrKefvrpu9/NO3nyZEREhK+vr3bzI3e+cOv6u7i4OK3KlXa1nc/Pk6dOnQoKCmrffp+IqlhRRUbm3Qlq5UrVsGFOFv/uuzmBu1Jq927l4EDgfh8unjr06YCaUeHBf3w45JthrZPPn7x66dzH/aoc2xV743rqsd3rP/Av91GfSpNe9Vs6aczemOjrV/L7wds8227ZsmXmxo0bN2of3vSNwidOnJjnFaxRo0Yi8vetWwHgdrSY5tNPP7X1QNSVK1dEpEiRIrYeyMNBSyvu/iF50KBB2vWcTVZxWt+PPyoRVby4+t/b4D05flx9/bXq0WOIeeKVs7Nzr169pk6deusSSUu8D2oX9xUrVoyMjMxzP3L16tXaC5qIdOrUadeuXfnpDjpLSlLOzsrOTp04oTVsW7rUyd7ey8tL3/vK90gr1ODk5LRo0aI7HUPUrpf169eLSJs2bXI3nj59Wt9enn5aiaju3fU967364YcftPuL5p0M9doRxHzPODY2Vms5d+6cVsjbVvf7H1kff/yxWKU4Um7nzp1zc3MzGAwWelPTismULl2aYjI2dJcrnP+cSXDp0qWQkBAtnShRokRERER+VkjfuKE++0x5eCgRVbSoevZZZV6G/dZbSoTA3eISExPHjh2rXXu4ubn5+/tHRkZaaFq3NrFdu6Rv2LCheSXNPVq+fHn58uVFpGjRopMmTfrP4y9cuBAWFqZNK9R6jIyMvPXXNS4uLigoSJu1Y2dn5+/vf/eMriB4qAJ3pVSDBmrp0psPx49XQUG2G82/nD592mAwuLm5Xbt2TWvRNoB67rnnLNRjQkKC9gobFBRkfuW9cuVKkyZNRKRFixaW21yxcHvyySdFpGXLlv858eTYsWMRERHe3t7au6CIuLi4aK99dy/hZzKZoqKiqlSpon2Xv7//8ePH73ec165dGzNmjKurq4hUqtT044+NaWn/OuDkSRUUlBO1V6qkIiPVsWNq8uSbB0ybdpuNVXEnF08d+vq5ZmcO7Tq+Z+Pcr0bN/erlq5fOfRn0uPbVrIwbJ+I3ZWXofLdZK83p5uZm/jSllFq5cqV2U1fHAsQ9e/YUkWnTpmkPT5w4ob1HctPuHmkbzN7LJYWlHTlyRArqvjEFkHk9/p0uJefOnSsi7u7uj9Ty/CefVP37q3uJEI8dUxERyts7p6R7u3a/WfN98Pr162FhYdr7oJubW2hoaJ4rn5MnTwYFBWldVKpUKTIy8n67gMV9/bUSUb163Wzp3Tu7XLndNtqFyGQyjRo1SkRcXV1XrlyZ56tE7fo6ePCgiNSqVcvccubMGREpV65cYGCgVoUvn/dd1q1TBoNydVX3M81OTyaTqUePHnkm8sfGxtrb2zs4OGzOx25kKSkp7777bu7Zx9rtotyTJ2Ad2o35X3/91cr9vvrqq/Lv7ab1QjEZm8tzhRMWFpaW56O+Ukqp5OTk0NBQbW1r8eLFw8PD83x2279/v/YSpE2OfrD6B9HRqnr1nFTB318dPqzmzFHmqPPqVfXOO8q29acfEadPn/7kk0+0eb3m9Kl3797Tpk3T8WrkASa23+rChQt9+/bVBjlgwIC71Cdfvny59nsuIu3bt1+8ePGt7/va1qnmCT1BQUEJCQkPMCrre9gC96lTlZeX2rpVpaWpxYuVp6cqSDfwtbXM5kJa2kVk8eLFLZFYJSYmah9T/f39zTd/MjIyunbtKiI1a9ZkrfQDS05O1v5ux44de9sDjhw5ouXs5lc6V1dXLV+4r4q0169fDw8P17Ke2yYFd5I7pzAYDIGBgXlyimvXVFiYcnFRIsrdXYWF3XHtP+5d7pIyyedPfhpYK3fgbiEmk2no0KHaK8mOHTvM7fPmzdMmLOhS48JkMgUEBLi4uJhfN7QlOwMHDsz/yR8RX3zxRaVKldq3b2/N/U60InedOnXK/S6zefNmEWnevLnVhvGwe/311+/0efX8+fPaje2CcCvFmtLTVVaW8vVV5kV6W7ao0NCbB8THqw8/VI0a5Xz6ElFFiqhBg9T8+ZfM0w7uhSXfB6+FhYW5uLho90tu3VsMBUX9+kpEzZuX8/DsWeXoqJyclO2uY00m0//93/9pv5OrV6/WGonaLeHSpUva1Etzy7p167RZ22Zly5Z94oknvv9+0vbt6n5XGWVkqLp1lYiy7fKzxMREbeLeL7/8Ym7U3np8fHz06iUlJaVYsWIiUvBn/BU+2jZg9zsJNP/Onj2rrWlYu3atjoEDxWRs6z+vcG518ODBXr16aa+ZtWvXvnWFVnR0dI0aNcxTHA4fPnyPg9m/X3XvnnOl5+WlKFdcQJw4ceJO9RXys0osnxPbbxUZGVmkSBER8fT0vNPCQW21lr+///r16/N8Sds6VdvMWZsLGBIS8nDtUvawBe5KqT/+UL16qQYN1IABat06W4/mX8aPHy8iTz/9tLmlXr16YoGaDCkpKVrRrlatWpk/2RqNRm1b6vLlyx+7r3XguMU///yj7ZW6atUqc2N8fHxYWJj2M9UUL148MDAwMjLyvvKFPP5zLXweW7ZsadOmjTaAFi1a5HlhMplUVJSqVEmJKINBBQaal2gjvy6eOjRhaIvLZ49fOHlw8cR3f//gGSsE7kqp7OzsAQMGiEiZMmUOHDhgbp8+fbqdnZ3BYPj555916Sh3iTTt1t1vv/2my5kfBUlJSdoH3XLlyi1evNjS3V29evXLL78sV66c9lKQe9uJJUuWiEh3Wy2efwhpn1ft7Ozi4+PzfEn79NK1a1eblLawrYwM5eCgatZU2lrVpUtVt25qxw713nvKy+tmzl6ihBoy5G4l3e/F/b4PJicn3/V90BQVFVWpUiXzJ9UTvBEWWOvXKxHl6anMawo/+USJKAtM2LwvJpPppZde0jL3H374gajdQkwmk4ODg8FgyLNy/MiRI5MmTQoKCjIvgmnSpIuI8vBQvr4qLEytWHFPrznab1Pt2srme5rMmDFD+/0x51zp6ekjR44015nJvw8//FBE/Pz89Doh7lFmZqaTk5OdnV1+Pg8+MD8/P/PkUBcXl3LlytWrV8/b29vX19ff3z8oKCgkJCQsLCwiIiIyMjI6OjomJiY+Pj4xMfEuVfIoJmNDW65veXbxs+YrnLts2X2rFStWmJMKX1/fPJe16enpn376qTbFwdnZOff+f7d16ZIKCVEODkpElSypIiJUPgrSwFLMOydpqxw09erVCwsLy50b3IvY2Nj8T2y/1bFjx7T9ww0GQ3Bw8G1fJ2+9rLpx40ZkZKQ2Hu3We1hYWHJysi5DsqaHMHAvwI4ePSoiRYoUMc+i0orDjhgxQsde0tLS2rVrp/1Dyv2rGRISot32yT0NFg8sLCxMRCpUqBATExMWFqZtuKwpWbJkUFBQdHS0jlMJ7r7bW25ffvmlFupNmjQpz6XSpk37WrTICUHatFH5WKWK27hyMXH6mIHTxwz88+NnV8/4PC01OS01eVb4cCt0nZGR4efnJyKVK1fOnRx999132g3tv/76S8furl696uzsbG9vf/HiRR1PW+gdO3ZM2z1bRIKCgu5rvcu9u3LlSnh4eKlSpbSOGjVqFBkZmfulYPr06SLyzDPPWKL3wmrEiBEi8uyzz+ZunDJlinZj9eTJkzYaly1lZChXV/XOOyokRKn/Be6+vjlvMSVLqqAgFR2tdFzCd+/vg0qpbt263fZ9cMuWLW3btr1TFo8C5/nnlYh6552chyaTqllTiajly206LKWUMhqNzz//vIhoH2KLFi06ZswYonbdaauI7pLrJSQk/PLLL6NHzzcXNND+c3VVHTuqu1QeOn5cubsrEZVr8owtDRw4UER8fHwssR3ItWvXtA0S1xWw6WiPgvj4eBGpWbOm9bv+9ddftSliJUuWzB233Qs7O7tSpUrVqFGjefPmvr6+gYGBwcHBb7/99ujRo7UZqRSTsbIzmWeCTwTbxdk5bHdo+VTLadOm3WnL7rvIzMyMiIjQ5gA5OjqGhITkqe+n7V1vZ2e3YMGCu5xkypRT2l7TDg4qJERdvvwgzwjWdPny5aioqKCgIO2eSu7k/T8nqus+sT0Po9EYERGhvUbVrVv37udPTU2NiIjQSsCLSPXq1SMiIh7eVaoE7jrTJp6bpzdu375duyGj16VVdnZ2//79tSA4d+6mTWpwcXHhMksv2dnZPj4+5uLsIlK+fPmRI0euWrXKQvvmaTuflC1bVv6388ltP35kZGSEh4fnyfISExO1984WLS6UL68mTVL3/waNAu369evaHoO1a9fO/Yuh3RlycnJ6sJJ8txUVFSUi7du31+uEjw6TyTRp0iQ3NzcRqVq16po1a3Q8+blzavz45UWLFtVekby9vW8tcpeVlfXMM8+IyCuvvKJj14XeiRMnHB0dHR0djx49qrUcO3ZM+6vOvXrgkaIF7levqipV1LZtOYH7H3+okSPV6tX3XdjhHt3j+6BS6uTJk3d6H9TerydNmvQAn1RhVampysNDGQzKXIhzxQoloipXttRv2H0yGo1ffPHFF198QdRuOdp8zKeffjoqKuo/p3ufPauiolRIiGrWTNnZKRF1l/3j/f2VSMHZ7UslJSV5enqKyNdff637ybXpOK1bt9b9zPhPM2fOFJG+fftaud8pU6Zob3nmLZ3S0tISExPj4+NjYmJWrFgRHR0dGRkZERERFhYWEhISFBTk7+/v7e1dr169cuXKaRsP3pa3tzfFZKwp05QZcT6i6M6iEieO2x1DToVcyc7XTphJSUkhISHaj7hUqVIRERF54ou9e/fe6XtXrlzZoEGDcuVauLurLl3U7t35GQhsIC0tLTo6OigoSLvvoqlWrVpISEhMTMytS0gtNLH9Vrt3727UqJHWUVhY2K2R2vnz58PCwrTdI0SkcePGeWaVPYwI3HWmBd8vvPCCuUWrlhUTE6PL+bV9nIoVK5Z7O3Jt2Ze9vf3s2bN16QWaEydOzJ49u27duq+99lpsbKx1PrpfvXo1LCxM2xLTw8MjLCzsxl3XwaalpX388cfu7u4i4urq+umn02yxnBHWkJKSom2J3Lhx49wrqt58800RcXNz++eff3TpSNtj8IsvvtDlbI+gvXv3asXmtKVzuWv1PJgTJ1RIiHJzUyVLJrm7e3h7e0ebS2v/j1bPXbtg8vPz21OQNjh5KGi/9i+99JJSymg0aosV+vXrZ+tx2YwWuCuloqJUy5ZqyRLVrZuVun6A98Hw8HBtRp6Tk1NISIiF1pdAZxMnKhHVufPNliefVCLqo49sNyZY24EDBypWrGgOBapXrx4UFDRp0qRba3zlkZSk5s9Xd1rWO3u2ElHFiqkCVet12bJlBoPB2dk5n+/RmZmZZ8+ejY+PX7t27Zw5c7777jtt3ZsVKtohj7S0tLFjx4rImDFjrNnvpEmTtLT9k08+ebAzZGdnJyUlHT58eOvWrStWrIiKipo0adL48eNHjx69adOmTHOZL1hYdEp0jfgaEicSJ/6H/Q/fuNfq6v9p+/btWikPEWnSpMl/zstMSEgw10+rVavWsmW6jQQ2kZ2dHRMTExISot3r1VSqVCk4ODg6OjozMzPPxPa4uDhLDyk9Pd3cY+vWrQ8dOqS1HzlyJCQkxFwd67YfdR9SBO4609aUlSpVylyL8L333uvVq9fdV0bfI61Ajaura+74Pjo6Wtsq4dtvv81/FyggEhIStIr82hteVFTUbQ+Ljo6uVq2adpi/v795biYKq/Pnz2vVjdq2bWuugKZtrOrq6prPD1qZmZkbN278/PPPtQna91v3DbllZWWFh4drS+fq1av3wDuYJSSoF15QTk45uzL06aPi4hLzHHP9+vUJEyaYA4tatWpFRkbm+xk8cvbv329nZ+fs7JyYmPj111+LSJkyZR7l7cfNgbtSqls3NXiw9QJ3De+DhV+zZkpEmReRJCUpZ2dlZ8fmM4+af/755+OPP/bz89Num5lVqFBh8ODBP/744969h+93Hw1tl7+JEy0z4nwYNmyYFn7dKdDUJilv27Ytz/TkwMDAu8xNbtiwYd++fR/B7UZsaMWKFS1btnzppZe01ed//vmn1br+8ccfDQaDwWCYMGGC1TrFg4lPj5+WNO3npJ8TMxOVUgOODFh/LafY3f70/d0Pddeidq+9XkuuWGRD0ujo6KpVq979MknbZ16b6KDtM3/3iQ54uGRnZ69Zs+bll1/W9jfSlC5dWivp5ujo+O6771rzHtuKFSu0z61FihQZO3ZsUFCQ9qZmZ2fn7++vS3BacBC468/Ly0tEVq9ere9pJ06cqE1jnzt3rrlx48aNWjRmXkqGwmTFihXarvci0qVLl9zTYXbs2GG+ZV23bt1ly5bZcJywppMnT2p7iHXr1s18MZSdnZ171cu9u3r16ooVK8LCwnx9fbUXExEpWrTo5MmTdR31I2rLli1169YVkQoVWnz8cfZ97TW0Z4966illb69ElL29GjxY3TofTityZ946tUGDBpGRkVlsafSgnnjiCRHRbl+JSO5320dQ7sD94EHl4mLtwF3D+2ChtWtXzm4A5rqcX3+tRFSvXjYdFmwpOzs7Pj5+0qRJgYGBWkVyTceOo4sWVb6+KjxcxcTcfuuIVavUihU3H/76q5o4sSDWV7x27VrNmjVFpGvXrm+//fbQoUP79Onj7e3t5eVVunTp3KUs78LBwaFs2bL16tVr3759v379goODJxbAewuFlMlkmjdvnrbkVESqVq1aq1YtEdltrdIbX3zxhYgYDIbvvvvOOj3igYWdCau8p/J7ie+9efrNCrsrnMw42SWhy5rUNZeyLoWcCnHY7iBxUnJXyYjzEVkmC169awsBtdLerq6uoaGh5oWAuUv5GQyGoKAgHXdyRgG0bdu2F198UbsH07Nnz4YNG1auXFlEkpKSrDmMS5cuabNqtOVZTk5OQUFB+/fvt+YYrIPAXX/vvPOOiIwcOVLHc86fP9/e3t5gMPz888/mxvj4+BIlSojI8OHW2LYRNpGZmTlp0qTSpUtrl9fBwcEHDx40F2UrWbLkrUXZUOglJCRoF0b9+/d/gJ/+yZMn//jjj5EjRzZq1Ehb0qUxGAz169cPDg6ePn06K0n1kpaW9tprr7VseV5EtWih9u27128cP16JKEdHFRSkbl1scPHixbCwMO0tQESaNGkSFRXF1LZ82rFjh8Fg0P5R5C4N92jKzFRt2958+PnnStfrmvsaCe+DhdGNG2rmzH9teVm/vhJR8+bZbEgoSEwmU3x8/MSJEwcPHty165rc26UWKaL8/NQnn6h//rl5v2bwYOXmpo4cyXno6VmwisnkFhsbW6FCBUdHx9uG6S4uLuXKlWvWrJm/v39QUFBISEhYWFhERERUVFRMTEx8fHxiYiKveDZhMpmio6ObNWum/aTKlCkTHh6enJysbVu6fft2K4whPDxcu2L/4YcfrNAd8iPhRkLRnUW1ie1KqeTsZKVUl4Qun5/7vMTOEhInDtsdXj758qUsK20Qcvr06aCgIO2uXoUKFSIjIzdt2tS6dWvt97lly5YbN260zkhgQ5s2bdI+Oe7Zs+fSpUuZmZmNGzcWkc2bN1t/ML/99tuiRYveeuutxMS8C7gLDQJ3/W3dulVEPD099Sr5vWbNGhcXFxH59NNPzY2nTp3Sbkb17t2bq65C78KFC8OHD9fCBe3utKOj42uvvZa7kDceKTt37tTC1ueee+5eYtYjR45ERkYGBwdru5PlniTVrFmzkJCQqKioixcvWmHkj6b161XNmkpEubio8PB7mnOXmqrefFOdPJm3/fRpNXp0inkbnE6dOq1cudISY340+fr6FilSpHz58leu5Gu7KuiO98FCbsMGJaI8PRVrdHA7R4+qyEj1wguqdm2VO3x3cVHt2qnx49XgwapPH9WjR87xBTlwV0plZGR88MEHn3322c8//zxv3ryYmJh9+/ZduHCBrZ4LJqPRGB0d3bRpU+3Sq1KlShEREWlpadpXf//9dxGxs7MLDAw0lyS2hE8++VZE7O3tp0+fbrleoJdpSdP8D/vnaeyS0GXW5VnuO9y7JHTZnWaDDUljYmLMN4208L1y5cozZ85k1s4jIikpSUSKFi1qbhkwYICI/P777zYcVSFG4G4RWjnRDRs25P9UGRkZWrD+8ssvmxuTkpK0MgUdOnRIN0/tQGG3c+fOjh07jh07tmfPntTXxoYNG7TNcl955ZVbv5qZmblt27aIiIjAwEBtrZZZkSJFfH19w8LCVqxYYf60AEu7fl2FhCiDQYmotm3VA3wiO3ZMhYQoFxclory9n/b19dXlXQa5paSkGI3G48eP23oguD3eBwuJtDQ1apTy8lI1a6q2bdXSpSorSy1YoEiRcA/OnVPR0So0VDVrpuzslIjq3VsNHqxmzlStWyttu4cCHrjjoWE0rps92zxbpUqVKj/99FPGv6saXbhwYejQodr0OEdHx+DgYEvM1hwzRlWtmlm+fHPS9ofF+HPjnzv+XJ5GraTMoRsWvDHzn4xG488//9ymTZsnnnjigw8+uH79ug0HA+vTJu2Z96kaPXq0iHzEfvWWQeBuEa+99pqI1K5d+6OPPlq+fHk+p1/t3Llz1KhR5ikPaWlpbdu2FZEGDRpcvnxZh+ECeDj9/fff2v4248aNU0pduXLFXJBdu+43K1euXGBgYERExLZt25g/ZUPLlqkKFZSIcnNTERHqHmeT7N2rnnlGOTgoEWVnpwYOVDt3MgkUwEPr5ZdVYKDSPuTHxKjSpdXhw7YeEx5Kly+rhQvV2rVq8GD1118qLk5VrqxSUwnckW9Go4qKUl5eF5s316L2iIiIPDtJakVmmjdv7uLisnXr1uDgYAcHB60ecXBwsF77rptM6rXXcsoMzpt3ux0MUCDNuDTDN8E3T6MWuNtiOECO5s2bi8j69Tmb906ZMkVEnn32WZsOqtAyKKVuWz8O+aFVb/j444/NLeXKlfPx8fH29m7WrFmLFi20jOwBZGVl9e3bd8mSJZUqVVq/fn3ujYYBPIKioqIGDx5sNBorVap0+vRp80u6vb19o0aNtJcdHx+fChUq2HacMEtJkZAQ+e03ERE/P/nlF7nLD2fXLvnqK/njDzEaxdFRBg2Sd98VLy+rDRYA9JaRIcWKycmTUqZMTstbb4mIfPGFDQeFh93TT0ufPjJwoLz8sri7S2SkbN8u/9tTHLgf2dny++8ybpwcOiQiUqPGwrCw7oMG5S67bzKZ5syZ88knn+zevVtEKlas+Oeff/r4+Bw4cOD999+fPXu2UsrDw2PkyJHvvPOOuQzgA1BKXn1Vvv1WnJzkr7+kb9/8PjlYzbmsc177vNbVXve46+MiokQZxOB7yHe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+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x2200>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1414,10 +2017,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "id": "3647f5cc-768e-44c8-ab1f-3741a991f362",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:43.285784Z",
+     "iopub.status.busy": "2024-05-13T08:55:43.285608Z",
+     "iopub.status.idle": "2024-05-13T08:55:43.342995Z",
+     "shell.execute_reply": "2024-05-13T08:55:43.342474Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10 AP fragments with the most retrosynthetic routes found\n",
+      "legend: number of retrosynthetic routes found\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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",
+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1439,10 +2071,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "id": "b0002a69-70aa-4838-a476-dc2d08616a20",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:43.345537Z",
+     "iopub.status.busy": "2024-05-13T08:55:43.345364Z",
+     "iopub.status.idle": "2024-05-13T08:55:43.630110Z",
+     "shell.execute_reply": "2024-05-13T08:55:43.629532Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "67 FP fragments with no retrosynthetic route found\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x1400>"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1454,10 +2114,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "id": "a1311af0-e963-47c7-ae8e-b84736c3f621",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:43.632096Z",
+     "iopub.status.busy": "2024-05-13T08:55:43.631884Z",
+     "iopub.status.idle": "2024-05-13T08:55:43.685469Z",
+     "shell.execute_reply": "2024-05-13T08:55:43.684925Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10 FP fragments with the most retrosynthetic routes found\n",
+      "legend: number of retrosynthetic routes found\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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",
+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1477,10 +2166,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "id": "f667cf28-1427-4531-9375-d199f15d08b0",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:43.687492Z",
+     "iopub.status.busy": "2024-05-13T08:55:43.687323Z",
+     "iopub.status.idle": "2024-05-13T08:55:43.888810Z",
+     "shell.execute_reply": "2024-05-13T08:55:43.888252Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "41 SE fragments with no retrosynthetic route found\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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YDqCx6Gu4oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPKtE0prz4g/EKSCO0bXbaW3Njd3kXm+QHiyoHcDjt/wDWrYs/hnHeTi88X6zeeIrrIYRTHyraM/7MS8fn19KZoX+jfGzxbF0+12FncfXaClegVUJypyUoOzXYGrkVta29nbpb2sEUEKDCxxIFVR7AcCsXxZ4Xt/FGliFpGt723bzbO8j4eCUdGB9OmR/XFb9BOBk9KunWnTqKpB+8hNJqxzGgeIp101rXxKYrbWbNAbpI8sHUttWQYHRuuB0yM4yK2Z9b0m1z9o1Oyhx/z0uEX+Zrj7SG18etqWpWLzW8cd4kNvcsgKzLHw+OfmRunblQeSK1IPhr4MtsbPDtkf8Aropf/wBCJrvr0sLGb9reMusUlpotNXp+PbprKcraEt38QvB1kxWfxNpQYclVulc/kCauaD4s0HxOsx0XVLe9MJAkWNvmXPQkHnHv0pYvCXhuBt0Xh/Skbj5ls4wePfFcp440GfQ7q18beGrRFv8ATEK3lpCoUXlp1dcD+Jeo+nfAFeZK13y7FnodFUdG1ey1/R7XVdOlEtpdRiSNv6H0IOQR2Iq9SAKKKKACiiigAooooAKKKKACiiigAoooJwCT2oA474h+JLrR9Kt9L0cb9f1iT7LYIP4CfvSn0CA5z647ZrX8KeG7Xwn4btNHtPmEK5klPWWQ8s59yf6DtXIfD9D4u17UPH96VYOz2OlQbg32eBCQxOOjsck+3sa9JoAKwNX8D+F9d3HUtBsJ3brKYQsn/fYw361v0UAcD8I3dPC+oac0jsmmatc2UYdidiIw2rz6A131cN8PVS31XxnaKgXGuSzkAnkyKpzz9K7mta1GVGfJLfT8VcSdwooorIYV5F4U0L/hJofEHiuW3t9R8RR6hc2+nnUmZ4IRGcIAnRR7jn0xXrtef/B75vBt1J/z01S7b/yIf8KAFsPhr/aF7HqnjfUn1+/Q7o7dhss4D6JF0PpluvcV3qIsaKiKFRRhVUYAHoKdRQAV5X4+0nQrZta8QaBfPpfinR7cXNw1k23zFIyBKuNrBsfX1z0r1SvEPFj/APEz+Lz/ANzT7CP/AL6jNAHsWjXkmoaHp97KoWS4to5XVegLKCQPzq7WdoCeX4c0xP7tpEP/ABwVo0AFFFFABRRRQAUUUUAFFFFABRRRQAUUVmeItctfDXh6+1m9OILSIuRnBY9FUe5JAH1oA4zxfNdeLvGtl4K0+9ubW0t4ze6xcWshR1QgiOIMOhbOSPTB7URxePPBL4WQ+LNDXs52X8K/XpL/ADPtWl8NdCutO0GbV9WH/E61uX7deEjlN33I/YKp6diTXaU4tJ3YGD4e8ZaJ4nVl0+6xdJ/rbSceXNGR1BQ88eoyPet6uZ8VeGvD9/bvq+pWsMdxZKZlvA3lsu0Z+ZhjK+x4rnrLwjdavDZ2V1fX0WkpYxNBc2V1tMinkwswzlQSceq7eeDXofV8NVj7SEnFdU1f7npf7kRdrQ6vXfGXh3w1Gzavq9tbMoyY926T/vhct+leb674i1Xxjr2gat4c8J6vfafo00l032pFtkuSUwpjZjk45I45z2r0TRfBHhrw+VbTtIt0mHPnuvmSZ9d7ZP5V0FcdZUlK1Jtrz0/BN/mUr9Tzr4OXEF34c1S6M6NqV3qlxdX0HIkt5HbhHBAIIC/TrivRa4bxX4Mu21QeKfCUqWXiKJcSI3EN+g/5Zyj19G+nsRp+D/Gdn4rtpozE9lq1odl9p0/EkD/1U9jWQzpqKKKACiiigAooooAKKKKACiiigAooooAKKKKACsHxbpOr6tpCroeryabqNvKJ4XHMcjDPySDHKHPP4dcYreooA5Dwf42GuzTaPq9r/ZniSzGLqxc8MP8AnpGf4kP6fkT19cx4w8F2niqCGeOZ7DWbQ77LUYOJIW9D/eU91rlf+Fp3PhzT7zS/FmnvH4ntUAtooFJj1Mk7UaIgdyRkducDqAAdV4k1q8GoWmgaI6jVLkh5JSoZbaEHl2Hv0A/+tWoPD+lGFopLKKaNk2FJRvUL1wqnIUZAOBgcD0rH8C+Hr/SdMlv9cm+0a9qL+feScYjz0iX/AGVHH/1sV1dZqGrcjqniEoRhR0tu+rf+S6ffu2chceALSFZZNA1G90S4cHDW0haPJHUxscH6cVz+q678QvAWl3Go6wmk+ItLtwC9xExtbhQSBllwV6kcKCa9Prifi7/ySnX/APrgv/oxaqMIx+FGdbEVazTqyba7nFeIYr67t7HUPH895ei+bOn+F9FRzHIwwQJHH3iARnJ45xnpW3Y+Cde8U2sUXiV4tC8PoP3Xh3SmCgr6TSL19wvH0NejaaB/ZdmcciBP/QRVqqMSppumWWj6dDp+nW0dtaQLtjijGFUdf55Oe5NY/ifwPonixEe/t2ivYuYL62by7iEjoVcc8ehyK6Okf7jfSgDzvS9V8TeEfE+meHPEV5DrGn6kzx2OogbLhWVc7ZV6Hj+L8Se1ei14L4WuJ7vR/hJPczSTTNfX26SRizH5pByTXvVABRRRQAUUUUAFFFFABRRRQAUUUUAFcp4QVbOfU4i+Y9Qvpr60OxgHibb0JA9vwOa6pgGUqRkEYNc/N4evnsoYINYNu9rF5VpKluNydOWySGOFxwB1PHTGc07ppbHZhpw5J05ytzW7+fZPrb5XOhori5fEmv8AhiF38R6Yb2yjBJ1DTVLED1ePqPqOK3dB8U6H4ns/tWjanb3cYGWCNhk/3lPK/iKqMuZGNeg6MrNp36p3X9etma9c74q8aaT4St4/tjvPeznba2Fuu+e4bsFUds9+n8q5/VfHl9reoy6D4Ct47+9Q7bnVJP8Aj0s/+Bfxt7DP44IrW8K+A7Hw7cSandzyarr0/wDx8andcufZB/AvsO1UYlPT/ilosmof2brlveeHr5ifLj1SPylkHYq/3fTqRz6126sroHRgysMgg5BFeeeLNJ8Xm7u5UtNK8U6FO246PdxLFLCMY/dvyCeM5PPPFcZotzBYXxtPCHiC78Namp+bw14jDGBj6Rs3IBPdSSfagD3esbxL4q0jwlpv23VroRKx2xRKN0kzf3UXqT/k4riJ/iN4qjuovDjeDmg8U3APkb7hWtGQZ3S7wc4GPu9e2c1t+GvACWGpf2/4ivDrXiJx/wAfUo/d2/8Aswp0UD16/TJFAGVBpnjDx7L9u1S+vvC2jgH7LY2Um27kyCA8r4+Xrnb/ACIzVqz/AOFg+GL2C2uhbeJ9IaQJ9qUiC7gUnG516OAPTk16BRSe2gFS11K1vDtjk2yDrG42sPwrOu3lhubq+dPmjAgtlznJPeruoxWDGI3cYLu4RCB82fqOahH2mDzDaW6SqG5V2UN1JIBH4dea8rEOrL93Ueq6xTb2drx8t1ruaK26JtG0uDR9MjtLeMIAS747uxyx/Or9Zq67Yr8t3KLOTIXbckJyTgAE8HJ6VpV6FCdOVNezd0tP+H8xTlKUnKbu2FFFFbEBRRRQAUUUUAFFFFABRRRQAUUVxHjzxNfW0lr4X8OkP4j1UERt2tIejTP6Y5x7+uMEA6oazpZu3tBqVn9pQ4eHz13qevK5yKu1wtn8IPBcOkW9ld6PDeyxpiS6lyJZm6lmYEHk578VqaL4C0Lw5DLDo0VzZxSNuKpcu2DjHG4nFRUclG8Fd/cNGrrEbzWkUSIzB5kDYGcDPU+1NsE3atqU5XGWRAcdQBTHsxA4he+uZjIPkichicEHPPWlj/tKSNZLWaz8vGAhXgY91ry228R7SUXddFZ7Jrv/AHr99di+lkatFcrreq+MdO8htL8N2urqd3nKt8sBXpjBfrnn8q4/xL8QvFIsIdK/4Ra70DUNTuI7GC/uZlkghZzjIZf4sZx+fbFepTnzx5rW9TN6F7xFcTfEXxO/hDT5HTQNPcNrd1GceawORbKR7j5vTHtg9nrHhfS9a0JNGuIpIrKPZ5aW0hiKbfugFegHpUHhLR9G8M6WPD2l3EUk1mFe6G8GVnfnfIOoLYJGew44FdBVgef/APCrTa86X408VWfon2/zIx/wFh/Wtnw34e8QaPdzf2r4sm1qyePbHBPZpGyNkfMXHLcZGD6109FAHnXgD/imvFXiDwRJ8sEMn9paYD/z7yn5lHsr8fUmvRa88+JaNoV9oXjiBTnSbgQ320ctaSna2fXaSCPrmvQUdZI1kRgyMAVYHIIPegB1FFFABRRRQAUUUUAFFFFABXJeMR5ms+FYeudTEn/fKk11tcrrbCW+ub2R0E+j7ZLSFgMysy/n8x+QY7g9elZ1fhO3AJe2u+z/ABVl+LR1VFRwXEF1H5lvNHKmSu6NgwyDgjIqStDjaadmFFFFAjhrTE3xs1F8qTBokUWMjIzLu6V3Nee+GJEvfjF40uoXWSKG3s7cSIcru2ksMjuD1HavQq2rVnVav0SX3CSsFFFFYjCvn8/v/DLd/wC0fiJ+eX/+xr6Arwjw3p17qvhPwdNa2s08R8VyX87xoWEarI43MR0HvQB7vRRRQAVzPjsRWXw88USxRpG0mn3BcqoG5jGVyfU9OfYV01cb8V5vI+FviF89bbZ/30wH9aANXwTD9n8B+HoscpptsD9fLWt2qOiw/Z9B06HGPLto0/JQKvUAFFFFAEE1la3M8E89tDLNbsXhkdAWjJGCVJ6HBI4qeiigAooooAKKKKACsvX/ABHpPhfTf7R1m8Fra7xH5hRmyxBIGFBPY1qU140kxvRW2ncNwzg+tAHAf8LVh1AlfD3hfxBrGfuypaeTCf8Agb4x+VJ/aPxT1b/j10LQ9DjPe/umuZAPby+M/WvQqKAPG72y1rwT4gvPEHi5l1zTNWtBY31/ZxNFJYJkjAVTnyzkZI5yM9fveoeHLTS7Dw5p9rojRvpkcKi3eN9wZfXPfPXPqa0pI45onilRXjdSrIwyGB6gjuK87uNN1L4cXb3+hwTX3hmRs3Wlp8z2nq8Pqvqv/wCsdGHoe3k4KSUul+r7X79vuE3Y9GorEu/F2g2Oj/2rc6jFHZ/MN5BzuU4ZcYzuB4x1zXMPqPi3xyjR6NHL4c0Vxj+0LhM3Uw9Y0/hB9T9QaccHWcHNqyXV6a9l3fkhcy2M34l+IdI8P+OfB2qz38KXFlcSx3UKnc6W8qYLsoycDGf5Vp3Pi/xBqF8b/wAGjQfEWjiNd1rHd+VdK3fk/KPoRmt7wz4H0LwrHIbG2Mt3Nn7Re3LeZPMT13OfX0GB7VT1n4YeEtam+0vpa2V6DlbuwY28in1yuAT9Qa5iihb/ABa0WC5W08R2OpeHbs8BdQtyI2P+zIuQR7nFdxbXVveWsd1bTxTW8ih0ljcMrL6gjgivPbnwj440mBodK8R2uvWJHNh4hg8wkenmryT9eKxoZvEXjrU5PBF3ZQ+FtO0yCP8AtKCznDvPGw+SOIgALGQOcZx09qANfU/EOqeP9Rn8P+D7hrbSoW8vUddXp7xQHu3q3b8ier0/wT4c07w9HocekWstgnJjuIlk3serMSOWPrWppmmWWjabBp+nW0dtaQLtjijGAB/U+p6mrdAHJ6b8PdG0C4uJ9ANxpjz4LpDMzR5GedjEgde3oK0XfW7NMTSQXEW5V81F2ycsB0PHetukKhhggEdeapStoYVKCk3JNp+T/TYZBv8AJXzN+7vvxn9OKkooqTZKysFFFFAwooooAKKKKACiiigAooooAK898ewv4f8AEuheOLf5Y7V/sOp4/itZDwx/3XwR7kV6FWbrNvYarp15o9667Lm2fzF7hOhYfQkfjWlFRdRc9+Xrbe3UT20NEEMoZSCCMgjvS1x/w91KY+ErKy1K4he6t5nsEkSQP52wEqeCcHYM4PPGe9dTcXtraDNzcwwj1kkC/wA6uvQlSqypb2f3+YJ3VyevPov+Jt8dp36w6Jo6x4/uzTPnP/fArfuvH3hCyz5/ibSVI6qLtGP5Ak1x/wAP9c05o/HXjW4uR9kl1JsyKCx+zwoBG2BzyGOBWAz1Kiq2n6jZ6tp8F/YXEdxazqHjljOQwqzQAVz/AIm8Tjw9caJbraG6m1XUI7JUEmzYGBLSdDkLgce9dBXnHia5jufi/oMUx/0bQ9LutVn9Bu/djPuMZoAwfDPgLw34n8beMLy701X0y01IW9taK7JCsyoPNYqCASTjjpz0r1vT9MsNKthbadZW9pAvSOCMIv5CuO+EFtJH8Pba+uBi51Oea/m9zI5wf++Qtd3QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBx+vfEbS9G1eTRbWy1LVtYjClrKwtWcpuAILMcKBgg5yazN3xN8SkhU07wnZN3bF3dY+n3B/MV6EFUEkAAnqQOtLQB5/F8IdAud03iG51LX7xlKme/unOzPXYqkBf1xWfpdxqXwruE0jVc3nhFmP2TUwoD2ZZvuTAdQSfvD1/AeoVFcW8N3byW9zEk0MqlXjdcqwPUEHrV0+RSXPt1tuD8h0Usc8SSxOskbqGV0OQwPQg9xT64CHTr34eXiLYXDXfh66n2pYSAtJafI8jmNu6gISF6nPr12NN8QX2u6ZqcmnxRC6s9QaCME/JPEkg5BP95MjPY11VMG179OV4aa7b9+1uvTzJUu509efeKv9O+LXgmwf5YbZLq9bdwHcIFQD1IOTj0rtWsTLc3hnuHltbmJY/szfdTG4MQRz8wYf98+9ZPivwbpvizT4obgyW15bHfZ30BxNbOOhU9ccDI7/AFwRxFHRUV5/4e8Y6jpGrxeFfG4SHUn+Wy1JRiDUB9eiydMr6/UZ9AoAKKKy9Z8SaL4dg87WNUtbJcZAmkAZv91ep/AUAclpn/E0+OeuXXVNI0qCyHoGlYy5+uBivQa8/wDharX6eI/EjI4j1jVZJbZ2UgvbKAsbc/jXoFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXnuveL9S17V5vC3gco95Gdt/qzDdBYjuB2aT0Hb88AGVq/inQ/Dfx3a41HU4LeCbQlt5WJJCTeduVWxnb8vPPt61btfEnjt5JJ9KPhbxTY7iyLY3nlTBc8AkkrXT+G/A+jeG9IkskgF5JcHfeXN2okkun7s5PXqeO2fqao6l8KPBWpyecdEhtJwcrNYs1uyn1GwgfpQBWg+JbQXUVrr3hPXtJmlcIJDb+fBuJwB5ie/tT/AB/rFxPNY+DdJkZdU1rcskiDP2a2H35D6Z+6PxxyBVb/AIV/4i0rnw74+1aJV6Qaoi3iY9MnBA+lafhHwjeaTqmo69rt9FqGu3+1Hmij2JFEoGI0B6DPJ9ePTJunUdOanHdag1fQ6PStMtdG0q202yjEdtbRiONfYdz7nqT6mrlFFTKTk3KTu2AUUUUgPMbb/i2XjYWbfJ4U1+fNuT92xuz1T2R+3ofoTXpM91b2y7p54oh6yOF/nVbV9H0/XtNl07VLWO5tJcbo3HGQcg/UEVyUHwb8AwNu/wCEfSRu7S3Er5/NqAOpl8RaJB/rtY0+P/euUH9arP4khlhnurBEvLK2j82aeOUYxzkIMHcQFJ6j60QeDvDduAI9DsOOm+BW/mDU8nh+wYMkaNbwSJ5csEGEjkXJ4IA9z0wTnmsn7TyO6Lwat8Tfna3ntr6akdt4js7q4t7eN42nluZYDGJAWTZv+Yjrg7P/AB4VsVTj0y2j8jaG/cTyTpz/ABPv3fh87Vcq481veOes6Tl+6Vl/wX+lgoooqjEKKKKACiiigAooooA8y12zufhvr8/ivSIXl8P3rg61YRjPkt/z8Rj/ANCH/wCtfRrO8ttRsobyzmSe2nQSRyocqynoRUskaSxtHIiujgqysMgg9QRXlyyv8IdaaKbzX8EX8jNE4VnOmTHkrgZPltzj0/PIB6nTXdY0Z3YKqjJZjgAV5+nj3XfEsqp4N8MzS2jEZ1TVM28GPVF+84+mPpU6fDy41mRZ/GOu3WrHO77FCTBar7bV5bHqcV0UKdKV3VnypeV2/Tp97Qm30DwrdW0XibVZkjlS41a8YyQuwxGI1ZVdePmD7T6YII5xXd1zmp+CNG1OxjtmW4t2hV1hnt5mSSPc284Pf5hkZz+tc+2teJvASN/wkKSa5oUY41O2j/0iBf8Apqg+8P8AaH1PpXVXVLE3qU5WaWz00W1ns9Lab+rJV46M9DoqjpGs6br2nR3+lXsN3aydJImyM+h7g+x5rnvEXxF0fQ73+y7RJtX1tuE07T18yQH/AGyOEHrnnHOK80s68kAZPAry/wCGWt2Og/CD+2b+R1tI7q4klaNC5AMzDOBz3H4VYHhPxV42Pm+MtQOmaW3I0PTZMbh6TSjlvcDj0xT7v4bT6BM2o+AL4aVcEDzdOuC0lndYHRgSSp/2h+nWgDudL1Ww1rT4r/TLuG7tZRlZYmyD7ex9jyKuV4TaeXD4hZdLZ/A3jF+ZNNuedO1E/wCz/Dz2K8jJwCea9X8KaxrOrWU667ocmlX1tJ5TjeHim4zujYdV/l0ycGgDfrxrx3ouoabpPxR1i6hCWmpx2ItXDg7xGAjcA5GCe9dr4i+I2kaJef2XZpNrGttwmnWA8yQH/bI4Qeuecdqx18JeKPGkiT+Nb6Ox0sOsi6FYEMrYOQJpD9/kDIHH0oA77TU8vS7RP7sKD/x0VapFUKoVRgAYAFLQAUUUUAFFFFABRRRQAUUVjavaX9xq+mSWUgiEXm+ZI0e8DKjAIyOtXTgpSs3bf8hM2aRmVFLMQFAySTwK4gWN9eafoukMLi3vbSc3Ek+Bhf3c2x8A8jftGD16cjNV7P4f2+vwi88TnUC7zzu2mG8b7OhMzsCAuM5BHOfSuz6pRjrUqWXkrvra2q3t8ieZ9EaGtfE7wrosotzfm+u2JVLbT4zcO5HUDbxn2JFcR4s1fxJ4nk0m8vfBGrw+FrG7W6uoMo1zcbQduYc5Cg8kc59sV6xpeiaXosPk6Zp9taJ3EMQXP1I5P41frjqcnM/Z3t57lLzMTw54t0PxXamfRtQiuNv+si+7JGfRkPI/lW3XJeI/h3oniC7Goos2maynMepWD+VMD/tY4b8ecdxWJ/bvjfwUfL8Qac3iTSl4XUtMjC3Cj/ppD3+q8DuTUDLXjeRvEuv6b4Itn/dTEXmqlG5S3Q8KfTc2B+ArvERIo1jjUKigKqgYAA7VxPw30a+itdQ8S63A0Wta5N58sUgIa3hHEUXPIwv8+eldxW9Su504UrWUb/Nvd/kvkJLW4UUUVgMK4P4ieFzLZy+K9Fd7PxHpcLSwzw4zOijJicdGBAOM13lIyhlKsAQRgg96APL9D8V/Ee50Kx1f/hH9H1yzuoVlU2F2beUAjowkyNw6EDuK0D8WbHTzt8ReHte0Qj70txZl4fwdM5/Kk+FjHSk1/wAISE7tE1BxAD1+zS/vIz+rV0ni3xXY+ENGN9dhpZpGEVrax8yXEp+6ij/OKAH6D4w8O+KCw0XV7a8dF3tGjYdV6ZKnBA5HOK264TwH4PurC9u/FWvpEPEGpLh4YQBHaRZBESgcE8DJ9R9Se7oAKKKKACiiigAooooAKKKKACiiigAoorB8W6/c+H9IWew0q51O/nkEFtbwqSDI2cF26KoxyTQAzxb4w0/wjp6TXQe4vLhvLs7GEZluZOyqPxGT2+uAeIm+HGt+LrSfXvEupPa+IyofS4LeQiLTCCGUcfeYkDcfy6A10fhLwVPZag/iTxNcLqPiW4XBlx+6tE/55wjsB69Tz6nPa0Acp4E8VyeJNLmt9QiFtrunP9n1G16bJB/EP9lsZH49cV1dee+OtJvdE1SHx7oEJkvbJPL1K0Tj7Za9/wDgS9Qfb2ArsdO13TdU0KDWra7iOnzxiVZnYKAPfPQg8EdiKANGuJ+Lv/JKdf8A+uC/+jFpl/8AFjwzBctZ6XJda7fjpbaTA05P/Ah8uPxrE1y3+IHxD0S50ttG0/w9pV0oDm9nMtw6ggjAQYXkc5oA9K0z/kFWf/XBP/QRVqvF9Z1fUI49O0rxhcX3hXVLM7b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VeAZ57pJ4RzLcMzMz7ezssrKycj/p6Ojo7OwsMtmdnJwKui1z+PBhV1fXzMzMn3766X//+5+k64UiYeZvvvlm2LBhzZs31+lEq1aRvT0NHEhEtHYtlSql72rYXl5e33zzzcSJE3/77TdpR968efOYMWNUKpWnp6eXl5e0g78z4uPjxS69SGN/+PBh7u+WKVOmRYsWzZs3F9v1jo6OL32TmTZt2vLly+3s7IKDg4uSTPp6mZmZ+wYM6BkTY7N7N9WuTX5+9OGH1L49nTypoxnh7REZyT163Hj//Sv79g3R57ynT5/+66+//Pz87t+/L55p3LjxiBEjhg8f/saMPPHv4rPPPvvll19MTExSU1M/+uijgIAAc3PztWvXjhw5UuerL6lOnjzZsWNHCwuL69evV69eXTy5bdu2jIyMfI7QokWL+vXri6+//vrrH3/8sV27diJsrZMVv4yvr+/YsWOrVKly/fp1GxsbIlKr1X/99Vf+R+jUqZP2jz98+PCtW7eOGDFi8+bNOlku6JFSqczMzLx27dq4ceO0x17hHZOamrply5bt27cfOXJE3P0ZGRk5OzsPGTJk8ODB1apVK+iAgYGBo0ePrlHjXGSk/fr11LdvAX73yROaMIH27UutVKmls3OrlStX5j7Unx8ZGRmBgYHbt28PCAjQ9mqqV6/ekCFDRo4ciTLHb622bdueOXMmKCioQ4cOmzdvHjly5NChQ/39/aUaPyoqqlOnTnfv3m3Xrt3kyZMzMjJUKlVaWlpmZmZWVlZqaqparU5KSiIi8bJJSkpSq9XiBzIzM9PS0lQqVXJyMjN7enr26NHj9bWboUBSU1MXLVr0448/MnN2dvbAgQM3b96cJ+isI7xypWzSJBo0iHbuJCJq2ZJCQykggPr318PsRLRv375FixaFhoampKRonzQ2Nq5fv36rVq1at27dqlWrxo0bm5qavmaQmJiY9u3bR0VFDRgwYMeOHfi8LqJBgwbt3r37jz/+GDduXKEHWbp06fTp02Uy2cqVKydMmEDIc5eEYeP9Ujl79uyLf7SbN28WcdjNmzcbGRnJZLI1a9ZIsk6QxNq1a4modOnSISEhOp3ohx+eV2/86SfW/6ugd+/eRLRlyxZdDL5161bxQTh9+nRsWr7oxo0bs2bNyv2WUqpUqdw57C/9j5aeni4agmufUavVQ4YMIaKqVavqrlbdzp07iahly5bi4dPx45mI9V6pPy4u7rfffnNxcRk3btzs2bPXrVt35MiRmzdv5qflQHIy//EHiwSI+/f5xAk+cYK1tSuDg/nhQ10uvTjz92cidnXV66TXrl3T9mitUaOGXC4/d+5c/n99+/btoktqjx49nj59yswqlWrKlClEJJPJFAqFrtZdsqnVanG/PXfu3NzPizS9fMqdcZmUlCQyMTdt2qS3P0VycrKoB7ohV33l3Hd9+eHv76/93Xv37okA2fHjx/X2pwDJaTQab29vMzMzcYa6S5cuqA/7zktMTPTz83N3dxcbb4KTk5NCobh+/Xp+RsjIyJg6daoIIgwd6lG4c2IaDf/xR6CItTVo0ODSpUv5+a20tDTR7yRPryZPT8+goKDCrAP0S5SLXL9+PTOfPn2aiJo3by7tFOHh4XZ2doXYQ8rD0tKyZs2a6FYiCbVavWbNGtHP1sjIqE+fPtoPnSdPnuhhAX179JjZokW0OCd6+zbLZGxry/rKE9+4caOLi4t4XYlWiAqFIiAgICEhIZ8j3Lt3TyS8h4WFiXoyn332mS6X/O5TqVTirHNUVFQRh9JDnntSUlJAQMDvv/9eQo6WviMZ7itXrpw0aVLuZ957770bN26IuhlF8dtvv33++efGxsZbtmwZquf0ZngFtVo9duzYTZs2WVtbBwQEdOvWTUcTzZ9PajX16UNEtGkTNW5Mn3yio6leQhRwT0lJiY2NLXp3u5fau3evm5tbRkbGhAkTfvvtt6L/e3mXTJw4cdWqVfXq1Rs6dKjIZH9pAX1RsU7beF3k1tWvX//q1avan0lPT3dxcTl16lTz5s2PHz+e+7ZQKiNGjNiyZcuiRYtmzJiRnJxcqVKlTvb2u4KCLF5oU6M7zNykSZOYmJiEhIQ835LJZJUrV37vvQb29oHVq1O1alSzJlWvTtWrU9myOT8TFUV16tDy5fTZZ3TqFPn6UlISffUViaDumDE0aRK1aaO3P01x8u23tGABffcdzZ2rv0nbtGlz9uzZESNGfPnll6IgTEGdOXNmwIAB8fHxjRo12rt3r0g3Xr58+ZdffqnRaMaNG+fj4/P67BgoKB8fn88++6xatWrXr1/XtrQlokmTJoksufz46KOP+ubK/1y3bt3HH39cpUqVGzduFDSvs3Bmzpy5cOHCtm3bnjp1Sptrk5mZ+UlBPqGnTp3aqlUr7cPZs2fPmTOnWbNmSqUSH4XFUXx8/Lhx4/bv3y+TyT744IOQkJC4uLjSpUv7+PgMGzbM0KsDnUtPTz98+LC/v//u3bu172ZOTk5ubm7Dhg17VZL4jRs3RowYcf78eRMTk2+//fb7778vyj//q1evDh8+/PLlyxYWFl5eXnK5/KXJgGlpaUeOHPH399+5c6d2p1Asdfjw4WhkUox8//338+bN++677+bOnfvo0aMKFSrY2dk9ffpUwinu3btXp06drKysnj17Ojg4mJqaWlpaWlhYmJqa2tjYGBkZlSpViohKly4tk8lsbW1NTEzED5iZmVlbWxsbG9vZ2anV6p49e54/f/7rr79euHChhMsrgc6cOTNt2jSxv9K6dWtvb+927dpduXKld+/e0dHRDRs2PHjwYJUqVXS3gIcPHzo4OBgbGz948KBUqVIHVq6svmWLY716lqtX627S3Lp373706NEvv/zS09OzYsWKBf11pVLZr1+/wYMHr1y5kohOnDjRq1evjIyMhQsXfv311zpYb4kQEhLSvn37999//9q1a0Q0f/58S0vL0aNHFyifRksXee5qtfrChQuHDx8+fPjwiRMnsrKybGxs1Gr1zJkz8yQ4voMMHfGXhijtn5u3dKmdCoWCiMzMzA4dOiTVmDkSE/lpUev9lUwqlWrMmDFEZGVl9ffff+tolh9+4MGDefZsnj2be/bUd4a7jgq457F//36RZ/rJJ5/otfzc2y07O1tcQ1y+fDnPt1JSUoKDg5cvXz5mzJiGDRuamJjkfucxMTFp1KjRxx9/nGcH+NGjR3Xr1iWiPn36ZGdnS7va1NRUGxsbmUwmNoo3bdpERJ07d5Z2ljfat28fEdnb2+/du3f16tWzZs1yd3fv1KlTzZo1Rdi0Ro3uRJznfzY27OTEffrw5s3cpw+3acP37/PJk+zhwcOHszZnevRoPn1az3+gYqN3bybiHTv0N2N2drYo3l3EXJ6IiAgRXHBwcAgNDRVP7ty5U8SCXVxc9JMrVEI8ffpU7N36+flJOKxarRbl1L/77jsJh30VbeH405K+I6SlpYktVZxoLI4CAwPFSYsKFSrs2bOHmePj411dXcXnsru7O/I6S4709PSAgAAPD4/cbUUcHR3lcnlQUFDuazNfX1+RAFGzZk2pjsymp6fL5XIx6cCBAx89eqT9VkJCgq+vr5ubW+7NTpGMHx4eLsnsoGeiYfhHH30kHorYd+6/9KITIY4RI0YUcZyzZ88aGxubmJhcuHBBkoWVQPfu3XN3dxehxqpVq/r6+uZ+P7l9+3a9evWIqFatWjdu3NDdMkScun///uJhmzZtiGiHvu4BHj58aGJiYmZmlv989jyOHz8u0qUXLlwontm9e7exsbFMJvvjjz+kW2nJMmfOHCKaPHkyM6tUKnFu4Pbt24UeUKo892vXrv3yyy8DBgzIfZDLxMTE2dn5gw8+EDvc2lfCu+odCbg3bNgwd8zLxsZG2rv0L774gohsbW2VSqU0Iz56xL178/DhPHQoDxiAsHshaDQacazB3Nx8165dupjCsCVlRA7CxIkTdT3RsWPHxC3H8OHDJY8FF1OHDh0iovfff1/7zLlz59zd3Z2cnPLUmDMxMWnSpMnHH3/866+/hoSEpKWlvWrMiIgIEcT/5JNPpF2tn58fEbVv31487N+/PxH99ttv0s7yRp07dyaiJUuWvPgtlUoVHR0dEnJ182b28uJJk9jVlRs25FKlnkfeV63igQP5wAEeOfJ5wL1jR+7Xj/v146pVEXB/pcqVmYiLcFlVYJcuXSKiOnXqFH2ox48fi1eOjY3N3r17xZNnzpwRZ3UbNmxYQs4b6sH8+cdLly7TqVMnyUcWmeYWFhZFubjPpw8++ICIxuigOZgo4F6xYkVs8xRa/N3r678ZsuWHcf5eEx5F39LDjNnZ2QqFQtyzdevWLXfnTFFhxtzcXIQ181nlA94Z2gakuQ+JigJoBw8eFMVAxH6MKHItoR07dpQtW1ZE5QICAnx9fV1dXUWXV3pWbt7b2zs6OlraeUHPTpw4QURt27YVD0WdPQm7iF+7ds3ExMTU1DR3mdykpKSEhITo6OiIiIirV68qlcrTp08HBgb+/ffffn5+fn5+v//+u4+Pz5IlS7y8vHJfQU2cOJGIOnTogDqiBZWamqpQKES00crKytPT86VvGo8fP27fvj0RlStXTndlb0U5F1HI6N69ezKZzMrKSm+byj4+PkTkWrQqli9G2MUugqmp6YEDB6RYZonTsWNHItq9ezc/K29Vt27dIo5Z6Jh7fHy8n5+fh4dHntoAjo6OHh4efn5+iYmJ4if/+usvkbk4b968Iq72bfYuBNxTU1PzJJlKHqPUaDRih7l8+fJXr14t0lhRURwYyFOm8MaNOc/88gvPmlX0RZZAGo1m6tSpRGRmZrZ9+3bJxzdswF2nBdzzCAoKEhuPbm5uWVlZepjxLffxxx/Tf8sci6tqEWF3cnJyd3f39vYOCgoq0CXO2bNnRcmF+fPnS7haUSN++fLlzJyYmGhubi5OGko4xRuJRhqlSpUqaKzqyRO+dIn37OHQUB44kJl5yBD28kKGe36lpXH//tywIevzBmr9+vVENGzYMPHw1q1bRbl/y8jIGDVqFBEZGxuvWLFCPBkZGSk6c9rb20u21V2CXb/OZmZcvvzDCxcidDG+6HPr5uami8G1jh49KvZmcsdVJdSpUyci+t///qeLwUuC6Bvndi2bxsy3L53cMv/j7MyMjJSnTx/GZqXrJBZw+/bttm3bis9lhUIhTump1WqVSqX9mdDQUHG8zMrKat06fVxQwdtGG3l3eFZkT+So2tnZ6a75xJ07d0ToTWQaig84EWePi4vT0aSgZzExMURUoUIF8VDUnt28ebNU44sEGpG1KsTGxlJBHDx4UPu7T58+Ff8EcJAr/zQajZ+fn6h5KJPJ3NzcXp8Fkpyc3KtXLyIqXbr0P/88fs1PFs6jR4/EHszjx4+ZeenSpbmvxvWgZ8+eRLRu3Tpmfvz48bVr1wo3jjbCvn//fvGMp6en+KQ+9X/27jusyeuLA/hJ2ENxoSJO3LhAREXc4sZVi6Mtaq2l1irOSq2D/mq1aFvFLVprUeug7q24caDi3gMnqIgyZEOS8/vjQqS4gLxJBL6fx6cPYdx7qTF533PPPefkSalWW0QkJiYaGxsbGhqKe/Dp06cT0YgRIzQfOfcx9+Tk5ODgYB8fHycnp+yV2aytrT08PAICAh4+fPjWKYpCzL0wBNzVgTA1baSxpKend+/enYgqVqyoUcLdiRPs5MQODq+z2h89Yp0XfyhMJk+eLC5ks/dPk8TlyxyeFZq4do017sKbBxkZ7Ora29zcXGfX5adOnRLdNiZPnqybGT9a6enpIjUp++5aQkJCQEDA2bNn09LSNBl8x44dYlc/MDBQ45UyM7969crMzEwul4tUKXG+tWPHjpIMnnsi6P/jjz8ys0qlOnLkSF5HePgwM+D+6BFXqICA+wcEBLD6jW7FCj5/nl++ZMnLnr2L2OkUZwCjoqLEO6MmA6pUKlG9jYi8vb1F4CwmJqZdu3ZEJNp1SLP0oqpbNyZiLy9tjR8RESF2E/Pxbz+XFApFw4YNiWjmzJlamuL8+fNyudzY2Fir58ELsYhb5zfMHPYi4u7R9XOPrp/78GroUu+O2+ePj3pwQ/KcSnU9kCpVqpw4cUJ88tmzZ507d87RdTk5Odnb29vIyKh+/VN9+rzuxS2VW7duzZw5U0ubQCAhpVIZEhIyZswYcY0nfaXQ/8rIyBAl9VxdXQMDA/NdgQE+WiqVShQIEr3fJ06cKGHY6NSpUzKZzNLSMvudYExMjKWlZcmSJStUqGBnZ1enTh0nJ6emTZu6ubm5ubl5eHh4eHh89dVXXl5eY8aM8fHxyZEm+M8//xBRqVKlnj9/LskiC7czZ864uLiIS1NnZ2f1G837paenf/HFF+3aBRgbs3SbL5mWL19ORF27dhUPXV1diWjDhg0ST/MOMTExxsbG6nD//PnziWjMmDH5G01UbFdH2EX3JiIqU6YMrsHyZMeOHZTtpLs4N7xlyxZJBn9PzP3rr78+e/asn5+fm5ub+Ixgbm7u5ubm5+cXFhaWm2u/Qh9zLwwBd7G5p9ahQwctTZScnCzOa9SsWTNv2aPe3qyuM56ayhYW3KDB64D748fcqpXEay1iRKTGwMBA7LhKZelSrlEjs+n31Kks0QtXrpw6xURcv75Ok82PHz9uYWHh6elZxA8bivctBwcHLY2v3tUPDg7WfLQcFdvFwQgdZ6+Eh4cbGBiYmJg8efKEs/4HqssL5lJk5OtooL8///gjjxvH6jsFHx++dEnKNRd0337LBw9mfjx6NG/YwDNm8Oefs3RHmd9HJAKLzKk9e/aQRD0D/vrrL1Huv2/fvqI6U1pamqenp3h5X7BggeZTFE379zMRFy/OWt3AFRUkHRwcsucXS2jRokVEVK1atRTxrqwd4nhTz549tTdFIRZx6/zike2D//5l7f8Gndyy9OHV0B0Lv2dmRXra3KHOQX5eFw8GaZ7t/urVK3Emhog+/fRT9dnkbdu2if5gFStWTExMzPFTmzffLF6cibhKFc5d2OQDrl696ufnJ+IdRIQXqAJE/DNX39vHxsauWrVKkgSXtWvXqnv/PHv2TFwaxaNwaOFVr149Irpw4QJnVdsYMmSIJCOL15Yc24eaEz3PpVpkYRUREaEu125raxsQEJCnPmcqFfv4MBHLZPzbb1IuLPtd3tOnT+VyuZmZmeRFsd5lxYoVRNSlSxfxUITF1q1bl7/R3oywp6eni1/Qzs7u2bNnkq27sBNZUOK1IikpSZx0l3CL982Y+549e0TrZnUA1sDAoGnTppMnTz58+HA+chMDAwNFXryfn9+bX83+Fio+1tVTXhqFIeCuLsMnSLWf81ZxcXGiQJuzs/OrV6/e9W2pqalHjx59/Xjq1P8UjXFxYXf31+Hbv/9mnF/WmJ+fn3gtkPCeZ+lSbtmSRR84HQfcf/2ViVj79dv/Izg4WDy3dTrrx0fcyWu1g4doC1G8ePFLGkeRBw0aRERz5sxRKpXR0dFGRkZGRkbStmz6INHB/JtvvhEPW7ZsSfntXK1S8fDh7OzMqamSLrHQ+fZb3r2bk5I4KYm/+4737OHISB2VvVKpVKIzmLganjlzJhGNHTtWksEPHDggBm/evLnY2FapVNOmTZPJZGZmZqjnng8ZGVyvHhPx29orSCk5Oblq1apEFBAQIPngMTExIpaqjfJx2UVFRYlnIAqJ5oO6pIxKpZozxOnh1dBdiycx8/1Lx39ytxF/Zn5a499Z31wL2Z6/yPvZs2dr1KhBRGZmZup3GdGpUgRHOnbs+K7I6YMH7OrKRGxoyL6+nL+NobCwsEmTJokyNUKpUqWGDBmSy+RH+BiIHu/qvIp+/foR0fz58zUcNiEhQZw4FG9eS5cuzUfyARQsPXv2JKKNGzcy84EDB4iolRRZdFu3biUia2tryXdr7ty5IxqPH1RnbUA2SUlJfn5+4viUmZmZj4/PewI+7+fvz3I5E7G3tzRVH2NjY0XlEHFAQSSYf/LJJxIMnTtit2b58uXM/PTpUwMDA1NTU02eom9G2JOSkkSlOCcnJ51tJBR0YtsvJCSEmXfv3k3ZGktIZdasWUTk7e2t/sxXX31laGhYunTp4cOHb9q0SfP4/rp164yMjFu3vvpmmnvt2jk/zlb0twAoDAH37Fe9lStX1lJqlVpUVJSYsX379u9Ks0pOTrawsHjdPnH3bm7f/vWXv/+eZ8/mli153Dj29ua2bTk6WqtrLiJ+//13mUwmk8nmzp0ryYBLl/KSJdy6Nd+4oeuAe5cuTMQ6qd/+2pQpU6jIl69NSUkR0ZY72iwhpFQqRalHW1vbR48e5WOEV69ehYSE+Pv7f/HFF1WrVjUwMPjpp5+8vb2JqFu3bpIv+D2ioqLEHaY4uHr69GkRgMj3dZK9PRPx2bOSrrLQ+fZbbtOGPTzYw4Nr1mQRG9TN0ZQ7d+6Ip6546OHhQUQSVvS6fPlypUqViMjNzU39ycGDB5uZmRXWw4ZaNWcOE3GNGrrYxNqwYYOIEaiTjqUiXtzatWsn7bBvJe4r6tati44meRVx6/zqqQPunj9y/N+Fq6cNVAfcmTk26lHotuUrvu/5U48KIvL+yydV1/5v0MWDQSmJubpdF01QRedJJycn9ZHzGzduODg4iHNj6kru75KRwb6+bGDARNymDT9+nKvfS6nkkyd5/Hh2cWmvvuMoW7asl5fXvn378DwpcNLT00Vp9bt37zLzunXrJDmntX79eiJSN6bu2LEjZfU2hMJqzJgxRDRr1ixmvn//fvaro3xTKBQigqb5JtBbieNotWrVSkVuSzaiXLu6zaO7u7vmfeBXr2YjIybiQYNY8zeKmzdvuri4ODo6Hj58ODExUVQO+eeffzQdN3dEuF/dJGzhwoVE1Lt3bw2HfTPCHh0drQ61aVjHtSiIjIyUyWTFihUTlyIipW+qSBeVVHBwcPYSCOINTtpegxs2RIjLsxxJjzkC7ocOsbs7L1zIumoVrKkCH3CPi4vLXpj/rccQJBceHm5jY0NEvXr1ysjIEJ/cuHHjkiVL1N/j5uZ29epV9Sr5zeM2GRl8/TrfupWZY7NoEY8apf21F3JLliwRz4d8x2WeP+egIPb05Jo1eckSXrqUz53jTp14yhTdBdwzMrhYMZbJtHv8/00iMXnnzp06nfUjs3nzZt2k+aekpIjjovXr189No9G4uLhDhw799ttvAwcOrFWrVvbXPSIStc/Mzc379OkTFBSk7cVn9+OPPxJR3759xcPevXtr+E7v6clEnHVqDd4uR0kZXSbjBgUFiVsR8bB69epEpD5EL4nIyMj27du/fg9l/vrrrymrMzDk3suXXKoUE7HOXtfFHeC4ceMkHPP69etGRkYGBgaaHwnKjbS0NHGzh+dbXiXGRYftWR22Z/WNU3sU6WkJMVEPr+WschX3POLU1mV/Tez1vx62IvL+26je3bp1+/PPP99zNisqKqpr167iIKO3t7f6JjwwMFA0D6hdu/Z5ddOPDzl0iG1tmYitrPg9xW+VSg4JYW/vzG8m4jZtvre2tvb09Ny+fTvi7AWaOMs4e/ZsZk5ISDA1NZXL5aIsXr6J7Wd1B/vsxY6hsFqwYIH6iKdCoTA2NpbJZEmaxYFE4Y6qVatqKSCelpYmmtL/8ssv2hi/gBJl6ygv5dpzIziYixVjInZ3z098UJ1f5enpaWdnJ1bo5ORUvnx5Y2NjXVasCgwMpGylm0WPpdWrV2s+8psR9vDw8HLlyhHRZ599VsTr3H6Q+HtRH6Vq0KABEf2n0oYWpKSkiGQ7ybtBrFvHhoZMxNkjeeXK8fz5mX9q1mRm3rZN2mm1q8AH3A8ePKgOOZmamkbrKlX80qVLxYoVq1Wrlvr24MaNG2fOnMnncPfvs4lJzicX5Mvy5ctFLNLHxyeXP5KRwceO8aRJ7OjIMlnmbRURT56cGfUbOZIdHHQXcBcF3OvW1dF0grrml+SZiQVL//79iej333/XwVwvXryoXbv2u/bw4+Pj1ddY9vb2OSLsRkZG9vb2np6e/v7+ISEhycnJoraMjY2NLstuJCYmli5dmohEx5ubN2/K5XJTU1NNaqH6+zMRf/21dKssjPQYcJ80aRIRTZs2jZnj4+NlMpmpqam2Y09NmjQhomPHjml1lsLnm2+YiLMdFdC6CxcuGBgYGBkZ3bx5U6oxxYnjESNGSDXgB23bto2ISpYsqbOryiIo4eWzs7v+Dpzs8UnH5uqd4w4dOixevDjHO0hwcLBIc7G2tlbnBMTHxw8cOFD8oKenZ17PVD1/zt27MxHXrMkVK7K6GGGDBpyezvv2sZcXly37+oKwalUeP55DQ5PyVMkXPlpbtmwhombNmomHPXr0IKKlGmz1i8PNMpns4cOHnNXBvnPnztIsFz5WooCD+kBezZo1iejatWv5HjAlJaVy5crazlw+cuSIqNQnDnlAcnKyi4uLkZHRypUrJX+RDw3lMmWYiHv3ZvWp5qSkt3fwTknhU6d4/nweNWpO7dq1Rak0tRIlSnTs2LFOnTpiS0ba/OL3E9WTFi9ezMzR0dGGhobGxsZSFQp/M8J+9uxZUdjnhx9+kGSKwkp0uhIbvc+ePZPJZBYWFto+vCLKZzVu3Fgbg78Zc69UiffuzfxTq1beRktJSTl48OCkSZPWrFkj+VJzqcAH3EXlbmHo0KG6nFp0jZNkZ4+ZeevWzCdXvgofQ3Zr164VCb8TJ058z7c9efJk7dpQDw8uUeL1PZWFBffowYsX8/37vHRpZsA9Pp5tbDgoiMePf/u7o7RmzmQi1mFsgRkF3JmZOSkpydLSUiaT6Sxmfe/ePXGF8dVXX8XFxWWPsOe4xsoRYX+znlV6erqbmxsR2dvbS9gp5f1EHxX1Qexhw4YR0beaNR8ICWEidnKSYHmF2JYtrL5L2r6ds4or6IKIfop2KUePHiWipk2banXGjIwMUXIUrefyas0arlLldfNh3RDHEbp37y7JaNu3b9dL7Ltz585E9N133+ly0qLp5cuXgYGB7u7uolwMEcnlcldXVz8/vxs3bvj6+or95g4dOkRGRoofOX36tMj1K168eL5volQq9vfns2e5YUN2dWWR3NygQWadd/Gndm2eNInDwqT6XeFjkZKSUqxYMXV8/O+//yaijh075ntAcT5SXTnX3d2diJYtWybNcuFjdfPmTSKqVq2aeCgukLZv357vAWfPnk1EDRs21Pbenjjk0alTJ63OUoCIYjLZz1ZK6O5ddnTkoCCWyzk0lJl5z57XLfzCwzkwkL292dWVTU0z331atVqjvvvz8vIKDAy8evWqeFYkJSW5uLiQDgudv3r1KvsxINEfWH3UVRJhYWE5Iux79uwRbTl37dol4USFiUqlEukIoqzr6tWrSSelZX18fPKU25pXOWLub9Zw/6Dw8PCAgAAPD49ixYqJC0s9vtYV+IC7qIMsnNVh0d/ExERxkkKSpvaZAgNZJmO5/C31ZyCPgoKCxGv0iBEjsp9FUigUYWFhvr6+Tk5OMpmsZMnqolaUnR17efH27f+pcvv8OasPyjx4wF5eTMQNG3JUlHYX37kzE73vmLM2oIA7ZxUgbtGihS4nDQ0NFS8m9F/m5uYtWrQYOXLkypUrL126pK5e9R7x8fENGzYUEXAdVGZMT08XaTjiSujZs2empqYGBga3b9/WZNiEBJbL2dgYfVPfZ84cHjQo82MfH9ZJpY1M5cuXJyKxKTV37lzK1i9XSy5dukRENcUxQviQmTPZyyvzY29vvnFD1wuIiooqUaIEEe3evVvDodTVXfLXhFkTOq5jA8wcGxu7atWq3r17m5mZifdBsfFsbGw8e/ZscS0nKrmLCzxnZ2dJuq04OvKBA9y/PzNzgwbs68v29uzjwyEhmo8NHy9RAUa8tqi7EeZ7Y+/zzz8not9++42zglPqYsdQiKWmphoYGBgYGIiDqidOnDh8+HBuCkW+VWxsrDg2unfvXkmX+RbR0dGiFfkGHd9wfqxETGnlypVaGl+p5CtXuEMHdnXljAzes4fHjuW2bTMLzqj/GBhwvXr85Zf8998PwsLC3nV+VMeFzv/555/s+VWdOnXSxv8rEWH/8ssv1aGbUaNGlStXTo+5yR+5K1euEFGFChXEw8GDBxPRnDlztD2vk5MTEQUHB2tvivXrX8fccxlwf/iQV63aNmDAAGtra3U4RS6XOzo6fv/993psE13gA+7q1haurq66nHfjxo1E1LJlS4nH/fVXJmIjI9b4NhV27txpampKRF5eXhEREX/99ZeHh4eIAggWFhY9evRYsSI+lz1Rnj3j+vUzM54iIrS1bHUB92fPtDXFW6GAOzN/8sknpI+6vQMGDDAzMzMxMXF1dfXy8hI57Pm7foqIiKhYsSIRDRgwQNtl70TZuLp164qJxHZ3v379NB+5Th0m4nPnNB+p0Jo6levUYZFENXQo57ueWV5FRkaKdGPxly4KGWlyDD83RO6hJE+tomDCBK5Th8Vl8IABrJ1srQ/4/fffiahOnToa1hoSuX766l86atQocTer+6mLuISEhA0bNvTr169kyZIymWzr1q3i80+ePBFNAuRy+aRJk6R6Vjg6MjP378/BwdygQWZnJSj0RI/TVq1aiYfiUEv+Qkg5urCK4JRumjyD3onUE0k2/8SFtOb9e3NJ5CmXL1++iFcTFUS/dK0Wr7tyhT09ecYMnjMnM8O9alUmYhsbdndnX1/evp1zf0RZl4XOxQ2y6OIbExOjvQYV586dy/67iMJxYiMT3jRnzhwiGjx4sHgoIgDSdtV604sXL0T92OTkZK1OtGoVGxhwlSq8cWNmEp5SyTmC/ImJHBzMPj7s5CQa7UwQUb7y5ct7eHgEBASoT0bqUcEOuEdHR6uDp+t0mxUu6iVp5d//998zEZubI7VGc7t37xZ5Utmrc9SpU2fcuHH79+/PRwpwVBQ3asREXK0a37unjSXzy5f81Ves/cNA/4EC7sz86tUrkWkeob3tlCxHjhy5fPmy+qFoXrR//35JBj9//rw4P/XTT39IMuBbqVSqRo0aEVFgYCAzv3r1SuxmhYqjkpr5/HMmYhzFfo+pU3nVKnZy4sREnQbcd+7cSdmaJonmPPnvX5I7o0ePJqJfczSth3eYMIH/+YebNOGUFL0F3NPS0mrUqEFE9vb2HfKrbdu24h18jw57FGSP4b58+bJUqVJEdOjQIZ0tALL77LPPKFtXldjY2CpVqpQrV07ap4QIuEdGcosW3KCBhAPDRy0hIUFc9YkiCcuWLaP8FknYtWsXETmKZ1JWcGrhwoVSLhc+VqJ75L59+zQcJzIy0tzcXCaTnTp1SpKFfZBSqWzRogURjRo1SjczfswOHz5MRE2aNNHeFCLgnprKTZrwX3/x999zWJhGCXZvlmHRhqSkJNGg4tGjR5zV1LdLly7am1FITU0tXrw4EYWHh2t7rgKqW7dulFXg+vr16yLQrO3dF1EPwE0n7aGCgvj+fba25ilTmJlTUrhJE05P56NHeepUdnFhUalC/ClRgr/99vzixYs1PGovuYIdcBeNSojIxsZGB6dp1BQKhTjwdUsbdXNVKv7ySyZa0qWLtneoioIDBw789NNPxYoVc3NzE/VANRwwNpabNWMirlyZpchmeG3JEh49OvPj//2PNei4k2co4M7Ma9as0VleiSj8Ig43Xbx4kYisra1zUzQml/bs2VOnzqcVKmQsWiTVkDmJwGvFihXFa69IRJUqFXTOHCZiLdcpKZDS03n3bl6wgKdO5R07ePly9vHRacB9+vTpRDRhwgRmTklJETU3kpKStDqp6Jii+d1sETFhAh84wPPm8U8/6TTgvmHDhuy1RPv06SNSPjVhY2NjYWGR/Xj+7t27RXRMS9q2bTts2DB13paTk1ONGjU0v3KA/Nm0aRMRubi4qD9z4cKF5+pifxLJCpPyH39w/frSjg0ftV69ehHRkiVLOKsNoImJST7qgQwdOpSIfvnlF84WnHr8+LH0K4aPjzgbUa9ePR8fn7Vr1169ejV/1/OiDZKHh4fkK3yPK1euGBkZyeVynUX5P1oJCQmi5fubXbKkIgLuzBwczHZ2LEkZV1GGpXRp62XLtFXAKigoiLIVkxBB3uXLl2tpOrWtW7dqewukQEtLSxOd58RV8bx584jIUzzDtEk0apo1a5a2J1JzdOSOHfnGjcyAe/Pmr4Psxsbcpg1Pn86hoR/v8URDDe+F9Ovs2bPig+HDh6tbLenA0aNHX758Wa9ePVE8S2IyGS1btqFYsW/nz69w+fLx48erVasm/SxFhkiUmzx5smijqrkSJWjfPurWjU6epFat6OBBsreXZGB6+pR27KAePahDB3r4kJKSpBk2N44cOUJEIkejyBIbtv3799f2RDdv3rx8+XLJkiVFGR8xr4eHh1RPUSLq0qVLZGTnYcNko0dT1arUrZtUA7/222+/EdHYsWONjY0zMjIWLFhARN9//70kgzs5ERGdPy/JYIWBSkUnT9K//9KGDRQVRaam5O1NRDR0KLVvr9OVXLhwgYgcHR2J6MqVKxkZGfXr1zc3N9fejJxVw12cqIBc+u47at2a/tt6WYtCQ0MHDBhQtWrVmzdvGhsb37hxY+fOnSqVKiAgQDS3zJ9JkyY9ffp0+vTpokbNzJkzJ0+ePHjwYFFlSHIbNmw4cuTI9evXxevboUOHzp07V6xYMSsrK21MBx/UpUsXCwuL0NDQx48fV6pUiYgcHBwkn2XgQLp4kRwcyNubunSRfHj4ePXt23fbtm2bNm0aPnx4mTJlWrZseeTIkV27domjFbmkUChEb2eR2L5nz56kpKQWLVqI0/1QuK1aterAgQOlS5e+du3atWvXxCeNjIxq1qxZr149e3t7JyenJk2aiMaG73Hr1q2///7b0NDwf//7n/ZX/Vr9+vXHjBnz22+/jRw58vTp0wYGBrqc/aNiaWlZp06da9euXbp0qVmzZlqdy82NmjSRZqguXbqsXLl2ypRGw4eXLVmSsjU3lIzY+e7bty8RxcXFHThwwMDAQOxWalX2eeFNoaGhiYmJDRo0EC8vffv2NTc310pw8r8OHDhARG5ubtqeKLvZs2nUKNq+nYjI1ZWePyc3N3Jzo06dqABcoes74q+RHj16EJGRkZGOq/N4e3sT0Y8//qi9KdLS0kQ/iurVq0vZlxUk8uoVt2nDRNy8+TWpGppPm8Z//snOzpyaqtOUVWZ2dXWlot0EPDY2VhTVeab92vm+vr5E9PXXX4uHovDC0aNHJZ9oypTM8lRSVHn5jzNnzhCRlZWVSAT766+/iKhhw4ZSnWITfVNNTFgfdZs/LmfO8NixbGv7ejO/Xj2ePp2//5537GBmvnyZDQ151y7u0oVz2Y5CE1WrViWi69evc1b1z0Hq5q3acefOHSKytbXV6iyFichwZ+YzZ1gu10WGu0qlEnenkydPFp/p0qULEX377bcajnzhwgWRcXbz5k1mDg8PNzU1lclkp0+f1nTRb0hOThZP72XLljGzQqEQFZP8/PwknwtyT9xsi9Kx2pCQwGZmLJfrunEOfAzUvVLFsQmROvDJJ5/kaRBxSLRevXrioSg6/McfWqzpBx+JgIAAuVwu3uw2bdrk6+vbp0+f6tWry97Y67axsenUqdP333+/evXqS5cuvdl/ok+fPpK8aeZDUlKSyO3TfQurj82QIUO0+nYTEMALF7JIoE9LYwkrYIsmgMbGOStcay4lJaVYsWIymezBgwec1b5LB+VE1I0xxOUf5HDz5k1xtkbH9aDETVnp0qWVSqXOJhXHEL29ecUKbtKEdTizNAp2wF3s53z22Wc6nle8LWnjfi+7V69eNWnShIgaNGgQk/sOGqArSUk8YMC9cuVsrK2tL1y4kO9xLl3iWbN4zBieNo137GB/f/7f/3QacE9KSjI2NjYwMMjHKdpCY+XKlUTUsWNHHcxlb29PRAcOHGBmcUzHxsZGoYVzUCoVDx6c2Y3nwQMpRxYRELHpqFKp6tWrR0TSNpGvVYuJWIN/WAXb1atXZ81aWb366zh7tWr844+srvx/9iw/fJj58fbt3KcPE3H58nz2rBZXFRsbK5PJzM3NxdN1+PDhRDR37lwtTpl1lLVHjx5anaUwOXXqdVvvjRs5IOA/pyxPnWLJT0uLfPPy5cvHx8czs0j2LFmyZHR0tOaDi7Or3bt3Fw9/+OEHImrevLnkRSp/+uknInJwcBBP7/nz5xORnZ1dPtq9gITWrl1L2qz2tn49E3Hr1loaHj52YndwxYoVzPz06VO5XG5ubp6YmJj7EcRb4bRp0xhFh4uShQsXymQymUymbjKh9urVq7CwsMDAQG9vbzc3tzJlyuSIvxsaGtrb23t4ePj6+m7fvn3z5s0ymczMzEwHTaTeKjAw0MzMTNRWKsoWLVpEWivKkZLC5coxER8+rI3hefRoJuLixSW+ddq8eTMRNWvWTDzs2bMnZZXh0irRGMPBwUHbExUgz58/DwoK8vLyqlKlinglKV++fKNGjbKXc9S2JUuWEFH//v11NiNnBdzj4rhxYy6IFYYKcMA9IiJCPNV0XHTs/PnzRFShQgVtdyRg5ujoaNFN0cXFJU8Xf6AbaWlpvXv3JqISJUrk6XkoWip7e3PlypnRNEND9vHhHTs4I4NbtOCOHXUXcN+/fz8RNW3aVEfzfZTEHdeff/6p7YlyVGyfMGECEY1WF++XWno6d+zIRFy3bh4a37/f3bt3DQwMTExMRM24hw8f2tnZVa5c+c2EHU0MHMhErP2/kI/Lw4cP/f39xYkTQ0NDa+tnZcqwlxeHhPD733BeveKuXZmILSx461ZtLe/QoUOUrZ5yx44dieiwlm4dskyaNEkdy4C86tmTiVh9ZzRtGstkPGOGlFMkJCRUqFCBiFatWsXMaWlp4kCrv7+/JONHRUWJhsy7d+/OPp20O3yPHz+2sLAgoiNHjjBzTEyMaNWzVXv/nCB3EhISTE1N5XK5lo57engwERf5zM6ia/ny5UTUrVs38VD0kNy4cWMuf1ypVIr0r0uXLnHWdiOKDhd6fn5+RCSTyXKTFa5Sqe7du7dly5aff/75008/rVmzpsiLz0F0x9GNyZMn//jjj+pEq++++46I+vXrp7MFfJxEFlSdOnW0MfiyZUzEjRtrY2xmZqUy8+2sQgUps6w+//xzIpo9e7Z4uGbNmm7duumg+oJojDF9+nRtT/SRS0pK2rt374QJExo1apT96Ey5cuV69uxpbW1NRG3bttVZnFCk3Omggn926kY7a9Yg4K5bz58/79Onj5mZ2TVdNpfMKgehszNfjx8/FrtY7u7uEvZUBKmkpaWJlx5LS8tDhw69/5uvXo2dNYvbtmUjo9eJqxUq8NCh/O+//OOPmTUiTp5kuZxPn+bNm3XxK0yePJmIJk6cqIvJPkoxMTHGxsZGRkYvXrxQf/LGjRvaaMUsoocjRoxgZpVKJSoYnDx5UvKJ1OLjuWHDzAy+fGdqpqWlnTt3btmyZcOHDxeFdPv27av+qkKhkLwh+O+/MxHr43CtHkRGRvr7+2cvGVmqVKmvv/762LHHuT83l5HB33zDRGxgoK3gkaijLZ69woMHD7Sd/ys2w7Zs2aLVWQqrjRuZiEuVYvHaduhQZpkp9fEIzYnXNHXKuah+XrduXQl34MQTr06dOmJMcSDJ1tZWwhuM0aMv1arVSB1uENEHqbpAg4ZEAcmAgADJR05OZktLlsmk/BcBBcuLFy8MDQ2NjIzEYeI//viDiAYOHJjLHz927BgR1ahRQzwcPHgwEf3666/aWi58BKZNm0ZEBgYGf/31V/5GSExMDA0NXbZs2Xfffde6dWsLCwu5XD58+HDx1YyMDH9//+yX2dJ68OCBiYmJXC4X57Pv3bsnDjpLVSK14EpPTxdl62JjY6UdWaVie3sm4n/+kXbg/0hLYzc3JmJ7e85q/Z5PycnJJ06c+P33383MzIjo7t27Eq0xVzIyMsS5EFHBsqhRKpVhYWF+fn5ubm6mpqbqe0MzMzM3Nzc/P7+wsDBxyX3//n0RSWjZsqUO8twVCkWpUqWI6N69e9qeK7uAAP79d9ZtBXEpFeCAO2c1l69UqdJDHV4pi75te/fu1dmM169fFy8669at09mkkHsKhWLQoEFEZG5uHvxG7bTExMTg4GBvb+/KlSs3bDhCBNkNDNjJiX19OSzsdeJqSAir385Wr+Zhw5iIx479QGar5lDA/fHjx127di1fvnxSUpL4zIEDB4oXL/75559LfpAle8X2kydPilcwbR+XefSIK1RgAwPevz+3P5Kamn727NmlS5d6eXk5OTnl6EptYmJiZWV14sQJ7a351Cnu25dXrdLeDB+F6Ojodu3aqXOdihUr9vnnn+/cuTPfwUp/f5bLmYi9vFjaLdr4+HjR5nfp0qVSjvsh5cqVI6IH0hZFKkrEGZcxYzIf9u3LRCzVgel79+6Ju9PQ0FBmjoqKEv1F9+zZI80EzMycnp5eu3ZtyqpfpFQqmzZtSkRTp06VZPwTJ1gmY0tLxcOHccx87do1IyMjAwODy+oSTqBXomZRp06dJB9582Ym4qyz8lBEtW/fXn1o5uHDh76+vrmPPMbHx69atUqc70lPTxfBCBQdLqxUKtWYMWOIyMjIKCgoSKphL1++LN50zp07x8zR0dHiiNXatWulmiI7T09PIho8eLB42L9/fyIaOnSoNuYqcETuiyj7KaGdO5mIbW213psqNpbr12cibtkyb1lWCoXi6tWrog6Sq6uriYmJOgHIwMBglW7vx/bt20dE9evX1+WkehceHh4QEODh4SHeRwS5XO7k5OTj4xMcHJzytoqQuoy5nz59mohq1qyp1VneJDarjh/X8bSSKdgB9+Tk5NatW4vMAh20OmTmBw8eyGQyKysrbaS+vsfp06dnzZqlyxkhTxQKhTj6ZGJisn37dma+fPnyrFmz2rVrZ2RkpH7RrFzZzstL+e+/nJuN85072dQ0M3Cmve4QooC7oaGhqL1bNKWnp4s4+CeffCJ6gFy+fFmEjaTtjZyjYvvo0aOJ6Pvvv5dwine5cIF37ODp03nx4szPeHtz1v4CM3N6Ol+9yoGB7O3Nrq5sb5+SPcIul8vr1Knz+eefz5kzJzg4WDR3Mjc3F0UetKFvX1Yf6dZtpTidEqccTExM3N3dAwMDJblUWrOGTUyYiHv1+s9fcf6kpKRs377d09NTFNywtrZu0aKFzvo9REZGElHJkiV1UMOtsLp6lQ0N2dCQr1xhZr53j01NWSbjkBAJBv/kk08oW+PcYcOGiQN5Egz9Xzt27CCiEiVKiN6GJ0+elMlkpqam9zXuFKxUsrMzE7Gvb+ZnvvlmmZGR0XfffafhyCAV0dnSyMjopYY5e2/4/HMm4qyz8lBEicLNffr00XCcvXv3ElGDBg0kWRV8bBQKxVdffSXu9SQ/dTdu3DgiatKkibhBEJWOypUrJ3mq9eXLl+VyubGxsWgzcPHiRblcbmpqqsvkxY/ZqFGjiGjmzJnSDtu+PRPxb79JO+rbRUZylSo8cSIHB2e28ElK4kuX3vKd9+/zhg08fjwPGfKPpaVl9vs+AwODBg0afPXVV+Iyz9jYeH/uk7Y05uXlRUS+6suywuvVq1ciL9POzi77/387OzsvL6+goKDcXPboLOb+yy+/kM57O0dGskzGxYppfbNKewp2wJ2Z4+PjGzduTESNGjWS/D3pTXPnzs3TSUMoOq5fv/7pp5+KrAeRkikYGhq2bt165syZFy5cyGvMaM8eNjNjIv78c4mTVdVQwF24fv26aIauPtG5Z88eQ0NDIlq4cKFUs2Sv2K5UKm1tbYkoLCxMqvE/qF8/rluXRSuvFi04LIwXLuQvv+RGjdjQ8HWZI9Hp3tGxhaenp7+//7Fjx3K8fysUCtHJ0NjYWPOTNxkZb+lY0LAhu7iwiOsW7rvXsLAwyePXJ05wmTLcsGGcs3PL/PXgSk9P371796BBg0T/N7Hp0qRJE/HPpEGDBo8ePZJ2zW+1c+dOIurQoYMO5irEhg9nInZzy3z4449MxM2bs4bbGKKmv6WlZWRkJDOfP3/ewMDA2NhYS9mdXbt2zf4SLeqKenh4aDjsihWZeWeiPs3WrUzEjo43JI/tgiY6depERCtXrpRwzPR0LlmSiVi3Z+XhoyN6pZqZmWkYqhDXRT/99JNUC4OPR/bTzNqIPCYlJYmQmbjpUKlUbdu2pf8W8ZNEt27diGjcuHHioZubm85SfwqEVatWSbL9lt2lS5kRQ+1HqjLFxXFyMhsY8Ny5zMx37rD4heLiOCSE/fzY3T2zg6v407r1RZEQ5u7uLhr5xmRr/CVOdRQvXvyCtP1Y30GhUJQtW5aIrog8kcLr5cuXBgYG6pBR6dKlPTw8li1blo+CLVqKuec4by1elDZt2iTV+Lnx999MxD176nJOiRX4gDszP3/+XJw1bteu3VuPWkhIPM/Wr1+v1VmgIPr222+JqHXr1t27dxcnsD799NPAwMAYzVpVHj3KxYoxEQ8YoJWYOwq4qx09elQcoBNVC5j5zz//FJv8kvTNy1Gx/ejRo2IHW5epu/368dq1LHqDtWjB06e/vtgyMGB7e/b0ZH9/DgnhD9ZGVqlUEydOJCKZTKb+P5YPwcHcoAGbmXGO+K2jIwcFscgxLdwBdy25cUPl4NCeiKpWrZr7TidKpTIkJMTb2zv7rqG9vb2vr6+4/rt3755o5W1jY6ODvaKff/6ZdNtJrFB6+ZJLl2aizDYhCQncunVs/frDAgMD8z2mQqFo2LAhEc3I6sEqThxq7y/rxo0b4tD9xYsXmTkiIiJ7m9P8efWKbWxel1VNS+OaNZmIFyyQatUgjYCAAMkPT+zaJTZXJBwSCipRMG3BggV38+vWrVui/mehDxIVCMePHx82bNjmzZsliT2lpaWJPN/c9OvKt82bN4uwpsiTuHr1qpGRkVwul7DPk7j1KFasWFRUFDMfPnxYHB3L3sKqiLtx4wYR2draSjjmF19kFonVpeRkbtaMW7Tgx48zA+5Nm/4ns4qIra25Wzf29eV9+xLE8cG3UiqVHh4eRFShQgUdFHg8ePAgEdWqVUvbE30MGjduLCrGhISEKDUraCBVzD0hISE4ONjHx8fJycnLy0v9+aSkJBMTEwMDAx3no4h/PvPn63JOiRWGgDszP3r0SPTx69mzp/Y6i758+VL01dFBKj0UOHXq1CGi0NDQ9PR0cRJCqjvD48e5eHEm4h498t/08l1QwD279evXy2QyuVy+MauayZQpU0Q+i6hQrIkcFdtHjBhBUpes+aB+/fj2bf7mGw4K4hYt+PBh/vJLXriQT57MZ+0Rf39/0TPdx8cnrz974QJ36JB5zVerFp89+5+viiBI58589iwC7vn04sULEUQoVqzYB2tqX7161dfXt1q1ajni7Ldu3crxnTExMWLv2cLCQlTQkkpKSoooYKomihf9o9UmU0XD3LlMxNWrZ76JBAYGElG5cuXyXUxMFGGoVq2aSHRYv349EZUtW1ar5YZEmlXLli3Fq+j//vc/InJwcBBn8PNBJM60aJHZK8XPL7PbWME9uFpYRUdHGxoampiYSFj+bsSISa6uS/z983MGCAqZkSNHmpubk2aKFy9ubW2t718FmJnHjh0r/lIMDQ1dXV1Fm8H8DZWUlNS5c2ciKlmy5KlTp6RdZw49e/YkogEDBoiHPj4+RNSwYUOpghsuLi7qbXKVSuXk5EREfn5+kgxeOKhUqhIlShBRpEQtGiMiIlq3Xmtqmq5xAby8SU7OvNHr2zcz4N69O1tYsKsre3tzYCBfvZqHLnFpaWniMETNmjXfE5qXhLhBnjJlilZn+UhIm3WX75h7WlrakSNHpkyZ0rx58+xJ9w4ODurv2bNnDxE1023TG5UqMy2mQHfPLSQBd2a+evWq6DDg6emppYxR0bWpS5cu2hgcCrSoqCiZTGZpaSmO3oiggISnSkNDuUQJUVvmWap0Qfdbt24ZGRkV8QLuOcyYMYOITE1NRUdQlUo1ePBgIrKxsdGwWLCo2C7SPxUKhcggvvTWonpaIwLuL19ykybcuDFL8tceGBgoau+MHDkyl5vzT568/PLLzN6epUvzvHmvw1uRkezlxYGBmQH3mze5fXsuYl1zpJSamjpgwABxzxkQEPDmN1y7ds3X17dWrVrqq6vKlSt7e3uHvLfCd1pammi6ZWBgsEDjZGCFQiHS6suUKVO8ePHsJ9XEheP1An2d9XFIT+eGDZVt257w9w9gZpVKJXZb87fnFxMTI3I5xcHS5ORk8Te1fPlyidf9X7GxsWJesSeqnvetz+1cOnCAxSHpZ8/YyoqJeO9eiZYLkhL7fFJ1EczIyLC2tsbLCzBzdHR0hQoVZDJZ+fLl7fKrWrVqovfPX3/9pe9fCPjatWszZsxwdXXNHjyqUaOGt7f3vn37cn8nlZiY2KFDB7GdLA5XadXDhw9FKe2dO3cyc1JSkqjsrMlBUrWNGzeK25nExERmXrduHRFVqFAhSfNuP4WL+BuXqky/2DUZMuQbSUbLPRFwZ+bPP+dFi7hPH46O5vwmJzAzx8fHOzg4EFHTpk0TP3gOOr+USqWNjQ0R6aZ8TeGTp5i7uk2rePNSb1Kq27RmLykj+kzoeCPk8uXMqo8FWuEJuDNzaGioeJfy9vbWxvgi1W7JkiXaGBwKNHHV0rVrV/GwUaNGpNk59zdduMC1aj2vXt2+bdu2mhwUErEtcVBIJpNVr149+3EhYObvvvuOiEqXLi0qEaenp3fs2JGI6tatm+8CQeqK7WfPnmXm4OBgIqpdu7aU684FEXDnrLLFUu2zbN261dTUlIi++OKL9PemhiYlJfn5+RUrVszJ6YWREXt5cXR05pcSE3naNDY3ZyKuVo3Ve+o//sjVqkmzzqJJpVL5+vqKqyhvb2+xIf3w4UN/f38RchXKlCnj5eUVEhKSyx1rMaw43+Dt7Z2Pg5BKpfLYsWMjRowQYS/BycnpblZB5djYWJlMZm5unu/8Zchu795gIrKyshJnycPCwuRyuYmJyZ07d/I6lLe3NxG1a9dOPPzpp59Is0zz3Fu8eLHYFhIxgg0bNhCRtbW15kcPv/wys9UwfJwWLFhARH379pVkNPEuXK9ePUlGg4JLpVL16tWLiFq1aqXhK5h4ObKwsLhx44ZUywMNvXz5MigoyMvLq3z58uorDTMzMzc3N39///d3Co2NjRUp4TY2NlevXtXNgmfNmkVE1atXT05O5qys0mLFij1+/FiTYRUKhagHuHTpUmZOT0+vUaOGDrbJC6JJkyblOx0hh8TERJEPqvk56bxSB9yfPuUaNViSovSRkZFVqlQhInd3dy2VlBBVj6rhxk8D74+5v3z58u+///7iiy+yvyTKZLKGDRuOGzdu9+7db+6mPHr06K+//hI3a9JGtz5ozhwm4iFDdDmn9ApVwJ2Zg4ODRRXmWbNmSTtycnKyhYWFTCbT8A0PCqXhw4dT1qG8ly9fiobvkncUuHLlmkiLbteuXV5j7o8ePQoICOjdu3exYsXUL6/Fixf/7LPPpF1kIaBQKMTdl52d3bNnz5g5Pj5ebKK0bt06fycMclRsHzZsGOmj/frWrSy2DFQqnjdPygpFhw4dEk+tHj16iJuEHJRK5YoVKypUqCDe17/55nd1nzqlkoOCuHLlzPIy7u589y6rO7IkJbFEGY1F2qJFi0Sel4uLS9OmTdUvAqVKlfr6668PHTqUv9KBf//9t7GxMRH16dMn90lSonyNyNsS6tat6+vrm6PZ5pYtW8SC87EweCvRYuTrr78WD8UxhbxGMKOiokQZR3FA5/Hjx5rXUs89hUIhXo1/+eUX8RlRO/7XX3/VZNhz51guZ2NjfqOEEnwsRGdLc3Pz7HeDixYtmp9r2btZiMu2adOm6eNXgY/I/PnziahEiRKS1CYWL6oNGjTQdlMxyCulUhkWFubn5+fq6ipyBQQ7Oztvb+8cuZzM/PLlS2dnZyKqUqXKXR02Vs7IyBDvcVOnThWfEeXjP/nkE02GFW0watWqJX7NhQsXirwf7VXiLbhEMf2OHTtqPpS/v7/YzNN8qLxKSeHOnTM/XriQv/hCmmGvX78uthDUV5L5lp6efvbs2cOHD2f/pMjnyEedUsjuPTH3Y8eOqV/9ypUr5+HhERAQ8GZ4MzExUV3JXbxgymSyefPmpaWl6fD34G7dmIjXrNHlnNIrbAF3Zt60aZOBgYFMJlu2bJmEw27bto10XrcICgp1AXfOep9u3769Nia6efNmxYoVicjZ2fmDPStyJLO/eXGp4xfNAiQpKalZs2bi/7O4t4+IiBCNIvr375+P0OSrV6/WrFmzevVqZk5PTy9dujQR5b6VpVQ++YSfPs38eMAAfm9mT56dOXNGVHto06ZNjiJFBw8eFPcP4lX0+PHj6i8dOMAODpmhdmdnPnZMyiVBdvv27StevLhIcTIzM3N3dw8KCtL8ReDgwYOi3mWzZs3EBtW7XL9+3dfXVzQ5FypVqvRm+Zrk5OSgoCB3d3cjIyMHBwcNA6mQ3Z07d0xMTORyuThqExERUaxYsc8+++z9B1PedP78+Xnz5omPBw4cKF4YpV/uOxw6dIiIzM3NRXLihQsXFi5cqEnUQKXiVq2YiHGL95Fr0aIFZRUUEkRBs1xS53KqD63ruKobfGyuXLliZmZGROvXr5dkwISEBPEeN1bHHRIhL6KiogIDA3MUUihVqpSIPT158uTp06cNGjQQIWndZ9qFhobK5XJjY2NR8OrJkydinfnumpOcnCxuHv/9919mTkhIEMmtmzdvlnLdhUVERAQRWVlZaVijWKFQVK9enaSrTpMnCQn877+ZHycns0SvcMzMoaGhIs3if//7X15/NjIyMigoyNvb29XVVbz2NsjWp0ulUol77TNnzki23KLqXTH39PT0vn37zp8//816eunp6ceOHZs2bVqLFi2yX1xZWVn17t174cKFOm5jmZaWZm/v2Lr1yKdPC/ZB50IYcGfmJUuWEJGBgUFQUJBUY37++edENHPmTKkGhELj6dOn2Qu4i1Ld+XgTyqX79++LzNDGjRu/ta38s2fP3ryOtLCwyM3xSVB7/vy5OG7p7u4uThlfuXJF/C/94YcfNBl59+7dOa4wdKZ9e47I6g/XpQvfuyfx+NevXxfX9E5OTqJshfDjjz+K6GpgYKD6+vXatWuffJIhQu1Vq/L69Xno3gP5c+vWrfPnzwcFBb31FEK+Xbt2TVzVVatW7a1H6QMCAtQ7LkRUvnz5UaNGnTx5MvvNTEpKysaNGz/99FNxCU5EhoaG3333nYTrBGYeP348EbVo0UL8z3+q3oLLl5MnT8pkMjMzMw1bXORV3759icjT01OS0TIy+Oef2c5OsipboCV//PEHEQ0cOFD9mdGjR4/MtZMnT4qfEmfOatSooaffAz4KKSkpIqj67bffSjhsWFiYsbGxTCaTtqk4aENqaur+/fvHjBlTs2ZN9SWKgYGByOFt0KDB+9MItOfrr78motatW4t36rlz5xJR5cqV81dTdObMmUTk7Oycvd9406ZNtdT0rhAQ53HXrVv34MGDfCem/Pvvv0RkZ2enl7qIjx9zhw6ZH0dFsbRJ9tu3bxcB2YULF77/OyMjI7ds2fLjjz+6ubllj0sQkUwmq1279pAhQ9TPwxMnToi7RTwzJZHLeu7qSu4ifUr9Mqiu5K6vBM0jR44QUcOGDfUyu4QKZ8Cds95LjI2N9+a3+5VCobh69WpAQICnp6e9vb2xsXGpUqV0VsENCpC3FnA/evSo9mZ8+PChiAU7ODiIXuFIZtcG9bm54cOHi88cOnRIFNDQpFGk6MKqroegS+3b89q1vG8f79vHzs7SB9yZ+cGDB6IDZ+3atdW7O69evZozZ476hPWLFy+8vb0NDQ3btj1kacm+voyz1wXd06dPxeHrkiVL5jgfylnbkCVKlPD09Ny+fXv2ZGTx2uXl5VW8eHHxqiWXy11dXf39/fV1o1u4vXr1SqS2bdiwQcOhlEqlKE+k+7oc9+7dMzU1lclk7+/u+37ffsvqpjz9+3Mes/xBD+7fvy+TyYoVK6ZhvQ5xaF3DvXMo6ERM097eXvKmkbNnzyYia2vryMhIaUcG7RFRJ3d3dxMTEw8PjzZt2nzwJLH2vHz5smzZskQUGBjIzAqFonHjxpSvUhsxMTHiXubAgQPMHB0dLS63Dh06JP26C4vRo0dn34MpWbKkvb29m5ubl5eXr69vQEDA9u3bw8LC3p/wKxoALFq0SFer/g+tBtyZedmyZSIs++Y5ifv378+cObN3796ie1l2tra2vXv3njFjRnBwcFxcXI4fFG05x48fL/Fai7B3xdyjoqJEc4vKlStn/wuys7Pz8vIKCgp6829H96ZMmUJE48aN0/dCNFVoA+6c9Y/W3NxcndLyQdHR0du3b580aVKbNm3Mzc2zP/+srKzy0VgMioIb06b5u7j8NXcua7OAew4RERGijk2VKlW6du2aozL7J598snz5cvQb0NyxY8dEW4g//vhDfGbFihWa3KinpaWVLFmSiG6L7qW61b49//wzz5vH8+Zx3bpaCbgz87NnzxwdHYnIxsbm8uXL2b+UkpLy66+/imt9Q0PDMWN+VDdNhYIuMTFRND8wNjYW1ZPUbty4sX379uzbfkqlMiQkxNvbW/SlEOzt7X19fe9p6XkJWUQt10qVKmkYZhIvhra2tm92WNIBcW7Gyckpf+0HmNnNjZ2c+NEjZmZ9nDiC/HByciKiTZs2JedXUlKSOLQuCitB0bRx40YiMjU1vXjxouSDq1Qq0TCjbdu2aPpd4CQmJmY/o6kvgYGBRFS6dOno6GhmPnv2rIGBgaGhYV6fsevWrZPL5Z2z6nmL7cbu3btLv+LCZfr06S4uLra2tu8vXGZlZVWvXr3OnTsPGTJk2rRpS5cu3bFjx8WLF3ft2kVEpUqV0ssFEjM/fsxlynD37ty9O3fsKH3AnZmnTp1KRGZmZidOnMj++YMHD6r//xQrVszV1dXb2zswMDA8PPyt44SHh69bt27cuHEiBT7HaKAhdczdxcVl48aNY8eOrV+/fvbnsI2Njaen56pVq548eaLvxf6HqO67Z88efS9EUzJmfs+LSIHGzF999dXKlSvLlClz7NgxUbj2Tffu3Tt+/PiJEyeOHz8uzsKrv2RjY9OyZUtXV9eWLVs6OjrK5XJdrR0KlLp16eZNCg2lZs2e7N4d9Msv18uWXbZ1q7anff78eceOHZVK5bVr14jIzs7O3d29R48erVu3FlnYIImgoCBxgH3NmjWfffYZEZ05cyZ728kPevLkybksp0+fVigU1apVO3funNaW/E4dOtCqVSQSDrp2pcWLqVo1rUwUHx/fo0ePkJCQUqVK7dq1q3nz5sy8ceNGHx+f+/fvE5Gbm9vcuXNzvOVDQadUKseNGzd//nyZTDZt2rSffvrpze+5du3av//+u2rVKvFMICJ7e3sPD4/PPvtMnI0AbVMqlU2aNLl48WKdOnXEVXg+MPOpU6dEdwpRc0/HEhMTa9eu/eTJE0dHx+zbNtlZW6+PjrZ665ecnenUKfL2ppUrafNmatiQLl/W5nJBIr/++uu0adMUCoUmg5iampYtW/bBgwfZTwRC0fH48WMHB4eYmJjFixd/++232pji+fPnjRo1evbsmZ+fn4+PjzamgEKvQ4cOhw4d+vrrr0U28ciRIyMjIxcsWCCKN+belStXjIyM6tSp8+DBgzp16mRkZJw7d87BwUEriy6MYmNjRWX/e/fuZf8gIiLi1atX7/opuVz+ww8/zJgxQ5dLVYuIoCFD6MABIqLnz+nTTylbs0xpMPPXX3+9YsWK0qVLHz9+XCQCEtGrV6+mTJni7OzctGnTWrVqvfk+GxcXFxYWdvz48XPnzp05c+b58+fi8wYGBoGBgQMHDkTMTVp3795t27ZtdHR0enq6+Iy5uXmLFi3c3Nzc3NwaN278EV4LxcXFlSlTxsDAICYmRvQMKMD0GOzXAYVCIVp729raqrvPJyQkhISE+Pn5ubu7i9aFaubm5mIXLigoSFTqAPiAp09ZJmNLy8zj6KNHMxFrrYB7Di9fvrx///7y5csj1JW5QQt+/fVXIjI1Nc3e7fM9Hj58uGXLlilTpnTt2vXNSFCPHj3eWnxfB7Rdwz271NTUPn36EJGFhcX8+fNdXV3Fr29vb79r1y4tTgz65u/vb2BgQERDhgxRd+O8du2ar69v9pB65cqV3+yYCrohjhdoeAHZtGnT8ePH67HU5saNG98fLKtdO1l0iXjzT5cu7ObGL1/yoEG8Ywcy3AuMmJiYrVu3mmqmX79+6psCKGoUCkXbtm2JqHv37lp9+dq7d69MJjM0NMz9SWuA7G7duiWKp4m7D016gwtid3zQoEFSrA6YmV+8eHH58uWdO3cuW7bM19d36NChXbp0qVevXokSJfbv36/HaJK2S8oICoWid+/eRFSpUqX3HKxPSEg4cuTIb7/95uHhUaVKlRyXamXLlnV3d//f//63e/dulMDVkjt37mzfvt3V1XXq1KlHjx5N/+irKG7atImI2rZtq++FSKAwZ7gLKSkpnTp1On78eOXKldu3b3/u3Lnr168rlUr1N1SpUqVFixYuLi4tWrRo1KjR+88NAeS0fj0NHEhdu9Lu3UREDg506RIdPUqtW+t7ZSClUaNGLVy4sHTp0idOnKhdu3aOr2bPYT979mxUVFT2r1pZWdWvX98pS926dfW1dR8aSg4OZGpKRHT6NDVsSFn9KbUiIyPjyy+//Oeff0xMTNLS0mxtbX/55ZdBgwYhc6HQ27Zt22effZacnNyyZct27dpt3br1ypUr4ks2Njb9+vUbMGBAs2bNPsKUiqIjPj7+5MmTmoxQunTpPJ310YZnz55duHDhXV81NGyjUJi/9UvW1jRpEm3YQAoF9ehB8fF086bWVgkAH41p06ZNnz69YsWKFy9ezJF3JbkJEyb88ccfdnZ2Fy5cUPcpAcg98XStV6/ehQsXjIyMNBnq8uXLjo6OhoaGN27csLOzk2qF8HGKjqYZM8jfn4goLo4mT6ZFi7QyUUpKipub28mTJxs0aHDs2DHReFOhUNy6dUt9a3zmzJmMjAz1j1haWjZq1Eh9X2xvb4/bAchhxIgRS5Ys+eWXXyZPnqzvtWiq8AfciejVq1dt27ZNTk6+desWERkaGtaqVUvUimnVqlU1LZVUgCJi+HAKCCA/P/LxoZgYsrYmY2OKjc0MakJhoVQqP/30061bt1arVu3UqVNKpTL7ZYT6NJyQI8JelK8kVCrVb7/9Zm1tHRERMX78+AJ/KAxy7ezZsz169EhOTk5ISCCikiVLuru7e3h4dO3aFRvb8DHo2JE2bKBSpWjxYhozhrIO2gJAoRUSEtKuXTtmDg4Obt++vbany8jIaNWq1enTp/v167dhwwZtTweFT1paWqNGjW7dujVr1qyJEydqMlTXrl337t07bty4P/74Q6rlARDRy5cvW7ZsefPmzYYNG7Zq1er8+fMXLlxITU1Vf4ORkVHDhg2bNm3q7Ozs7Oxct25dcRAW4F1q1ap1586d06dP6z2zR3NFIuBORC9evIiOjt61a5eLi4uTk5MpgqEglTp16NYtOn2amjalzZupb1/q0CGzZBoULklJSW3btg0LCzM1Nc1+GUFEZcuWdXJyaty4sYiw52j5DVA0PXjw4NGjR4GBgZ988knHjh3RWwI+Krt2kZsbmZiQUkmrV9OQIfpeEABoU2xsrIODw6NHj3x9fd/aYkQbwsPDGzdu/OrVq7///nvw4MG6mRQKk/3793fu3NnMzOy3334rU6ZMfHw8EcXHx6tUqsTExIyMjJSUlNTU1PT09KSkJJVKJb4hLi6OmRMSEhQKRXJyckpKSnp6upGRUXh4eJkyZfT9O0Fhc//+fVdXVysrq5tZpwVtbGycnJxEhquTk5OZVo9UQ+E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+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x1000>"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1492,10 +2209,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "id": "2a0f93d9-bfc9-45d4-8435-4ba10c6c7a59",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:43.890795Z",
+     "iopub.status.busy": "2024-05-13T08:55:43.890586Z",
+     "iopub.status.idle": "2024-05-13T08:55:43.946858Z",
+     "shell.execute_reply": "2024-05-13T08:55:43.946305Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10 SE fragments with the most retrosynthetic routes found\n",
+      "legend: number of retrosynthetic routes found\n"
+     ]
+    },
+    {
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+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1515,10 +2261,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 34,
    "id": "da6de0e3-7599-4d81-a447-ff49069d8276",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:43.948844Z",
+     "iopub.status.busy": "2024-05-13T08:55:43.948649Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.069134Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.068489Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "22 GA fragments with no retrosynthetic route found\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x600>"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1530,10 +2304,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 35,
    "id": "0b638a55-4846-4f47-822f-3f38b014cef6",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.071680Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.071488Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.129103Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.128472Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10 GA fragments with the most retrosynthetic routes found\n",
+      "legend: number of retrosynthetic routes found\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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",
+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1553,10 +2356,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 36,
    "id": "27f4d1f4-c672-4d7d-ab15-a34b09f16053",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.131617Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.131455Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.185135Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.184539Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4 B1 fragments with no retrosynthetic route found\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1568,10 +2399,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 37,
    "id": "d13bf3b9-fecb-4a44-a14c-bbf86203646d",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.187611Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.187438Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.240720Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.240061Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "9 B1 fragments with the most retrosynthetic routes found\n",
+      "legend: number of retrosynthetic routes found\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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9ekECgMLS0tJ8fX2NjY2JyMzMzNfXNzMzs4TfGx8fb2tr6+3t/fLlSw0vu3z5crt27bg7rdatW1+4cEEbgZdaXl7e2bNnvb29uXssTp06dby9vc+ePatSqSIiIrhbw40bNwoSoV54/fo19we4a9cuoWIYO3asGLIVmiHhLk6YB6EM+B82agl3xti+fYwICfeKoEWLFkS0c+dO3q54+vTpwuktlUo1YMAAImrWrFlaWhpvweg7LuF++dWr2+np+V+5IlhNko9LuHe5fr33zZvc14h794QOqliZmZnBwcGenp6mpqbcnblMJnNzcwsICHj9+nWZ3zY7O/vZs2dFntq4cSOX0//8888zxJ2o0V+5ubnt27fn/pAZY+np6dzfMrf1mePk5OTr63v37l0+A8vKyvLx8eF6V7i5uSEBBVAYEu5ac+7cOYlEYmJiIuwzxr59+xLR119/LWAM74Ps7Gyubsbvv/8uYBg7duzgnidrTtECD1QqVUBAAJc8lUgknp6ecXFxpXqHDRs2cLcs1apV27hxo4alIuW/Vplxt/JeXl5VCpTSrlevXn6eveCL//zzT+7BA8/3f3pk0qRJRNShQwcBNyskJydztSD37dsnVAzvhIS7CGEehDIQZNicOsXc3JhaumnsWNa/P2OMTZzIpk9X/5Zp09jEiTyFB2V25coVIrK1teWtnOZff/0ll8tbtmxZOLeYmprq5OSEvX2lwiXck3NzhQ6kWHpRUiYvLy8kJMTT09PCwqLg2md/f//nz5+X881VKtWwYcOqV6+uUCiKfMGJEycsLS2JqF27dgkJCeW8HBQ2ZcoUIqpVq1ZSwefGjGVkZHCZ90oFOvpymffi/rK06N69e9zzTrlc7uvriy0OAEVCwl073lmEV6lUZmpVcWXXIiMjjYyMpFLp5cuXdfkTv+9++eUXbkrLLeYeMSsrS7t/48VF8tFHHxHRjz/+qLOfFd7typUr3NKDcq46Dw0N7dSpE/c+LVu21FyciltNz+0rLO1q+tIq8y0d156+WbNmuotNfz18+JD7dX316tUiX5Cbm6vdXyPF3Q3ntwAR7V8TEu4i9M55kDeYB/WIeIYNY2zPHrZkidBBQDmMHDmSiCZPnszbFVNSUho0aEBEQ4YMKXz2/v37XOZxCQZWySDhXh5KpZLbbGpnZ1fw5tzPz0+La43T0tI6d+5MRObm5sUVDAkPD+d2mzk4ONwT8Q4AffTPP//IZDK5XH7u3LniXpNZmuVQWhEQEMCtr69Xr97Fixe1/v4AFQYS7trBFeGtVatWcWXRDh8+TFo1YMCA4oLx8fEhovbt24uhvnOFFB8fz6Udjx07VtxruBtuLSruo2lYWJhUKjU0NLx//77OfmIoli7qqgcHB9etW5f7e3d3d4+KitLw4jLXiy+J8m9aTE1Nbdy4MRFNmDBBi4FVDL179yaikSNHFveCUaNGaffXyNatW4u8kPhbgCDhLjYlmQd5g3lQX4hq2Ny5w6RSZmjIHjwQOhQok9TUVG497507d/i87s2bN7l2zUX2ity/f79EIpHJZMePH+czKj3FJdx/j4lZHxvLfV1+9UrooP5DtAn3oKCggkUdP/jggwULFmj+yFBm2dnZ3AIamUxW3Oak2NhYFxcXIrKxsUEnc215/vw51yJr7ty5JXn9Owt+lj+kV69eDRo0iHtnT09Pze3HAAAJdy3IL8L7559/FveaY8eOGWmVhkrxr1+/5toVbt++XTc/8ftu2LBhRNSvXz8Nr6latap2/8bz8vKKu9a3335LRJ9++qkOflYoVkZGhp+fH/dhz8TExMfHpzzlEdWkp6f7+flxaW5TU1MfHx/NNzQnT57kEqZE1LVr13I2wExOTuZaLRkVaMvj4uLi6+v7oPSZCYVCYWhoKJFIgoODyxNVBRMSEkJEFhYWGsoBjR07Vru/Rnbs2FHctUTeAgQJd7HRMA/evn1bp5e+e/du4b0amAf1goDDpkjffMOIWJ8+/F8ZtGDNmjVE1LlzZ/4vvXPnTiIyMDAocifizz//TES2trY6yn5WJFzC3fPOneF373Jfu8RUkyQpN1ecCffTp0//73//y8+lhoWF6fqKXItUboFRcS1S09LSPv30UyIyMjJCFqL8VCpVnz59iOijjz7SkAcoUv7uB3t7+/zMe82aNb28vIKDg8u8w+zy5cv169fnPi8Ut4gHAApCwl0LxFCEV82GDRuIyN7eHn17tC40NJRbSVeGzKOOJCQkcAvqjxw5InQs7wu1ReiPHj3SxVWePn1a8uXzubm5a9eu5XaVyuVyLy+v0tZtTExM5PLsXPsjbiULVwIyJiamPD/Ir7/+SkR2dnbF9Vx63+Tm5jZt2pSIFi1aJHQsb4m5BQgS7qKiYR7kVneOGzdOR5eeNWuWTCYr3IoZ86D4CThsipOQwCwtGRHDqNFH3HLabdu2qR1funTplClTnj59qtOrT5w4kYiqVatW+AZJqVR+8sknRNSiRQu0kdRMzCVlNsbFdb1+/fyrVx3Cwv4SWcJ99uzZRDR06FCer7tp0yZDQ0Mi6t+/f5Hb+vPy8saOHUtEEonE19eX5/AqmN9++42IrK2tnzx5UuY3USqVCoXC19eX657CsbW19fT0DA4Ozs7OLuH7qFQqf39/7hNiq1atHj58WOaQAN4rSLiX1zuL8ApCqVS2adOGiGbOnCl0LBWKSqXq2LEjEU2ZMkXoWP5j4cKFRNSkSZPiivuDtoSFhXH1grmPUjzsmrx8+XK7du24K7Zp00Zzpbzk5GRvb2+5XM7dovn7+79zFcPTp0/Xrl3r7u7OfVfBPLu2erGqVCqufMrHH39c2jUaFRJ3D12/fn3e+ryVhJhbgCDhLh4a5sH8fpgrVqzQ0dW3b99OxbRIxTwoZsIOGw0WLmRErEkThlGjX65fv86ljdRaj+Tm5nIrOnV9e5aXl9e9e3ciat++feGkVXJysoODgyApUf0i2oR7SHJya4WitUJxMiVF6FiK8NlnnxGRhm2LunPy5EkrKysiatu2bXEtUv39/aVSKRF98803mJHL5ubNm8bGxkS0f//+Il+gUCiKK2VcnPDwcF9fX0dHx/zMu7W1NZd51/x5JD4+nttRIZFIvL29S56mBwAk3MvrnUV4hXLhwgWJRGJiYoL9jFq0detWIqpateorkVUYzM7ObtSoEREtW7ZM6FgqrMTERG9vb5lMxn3G8/f35y13rFQqAwICqlatylV38fT01JwKv3v3Lre6iogcHR0PHz5c+DWPHz/29/d3dXXlVtATkbGxsbu7+9q1a0u7NL6gBw8e9OvXLzk5We14QkICV3pLtFXCeZOUlGRra0tEBw4cEDoWdaJtAYKEu3homAf9/PyIyMnJSXcfsFUqFddZ+qefflI7hXlQzIQdNhpkZ7NGjRgRw6jRL9999x0V1R5m//79RNS4cWMeZrHExERus+PYsWMLn71+/bqpqSkRrVu3TteR6K/iEu5/JSY+Ey6pdy01tX1YmItCsS0+XqgYNOM6lArVnjS/RWq9evWKa+m0d+9ebvy7ubkVfkAOmqWlpXFp8SJ/tzDGcnJybGxsTExM3N3dAwICSpuXCA8P9/Pzc3V1zc+8m5qacm9VuITpsWPHuE+gVapUKfITJQBogIR7uZSkCK+AuI4WAwcOFDqQCiI9Pb127dpEtGnTJqFjKcJff/3FPal+IbJtjxVATk6Ov78/V6/AwMDA29tbkHvHtLQ0X19frq66mZmZr6+v5vUIwcHBXKE9ru5NREQEYywyMlItz17m27UicQu+Pv/888Knjh49KpFI5HL5hQsXyn8h/cWlCdzc3IQOpAiibQGChLtIaJgH4+PjuV+SR48e1WkMGlqkYh4UJzEMGw3++osRMWtrhlGjL9LS0rjuu+Hh4WqnuIVQS5Ys4SeSsLAwExMTIipc54oxtm3bNu6+8dy5c/zEo3eKTLifffmytULR/caN20JURo3JynK7ft1FoZj3+DH/Vy+J5ORkiURiZmZWZCF1fsTFxbVq1YqbcP/5558iX3P58mUuUdu0adPyFEV5D33zzTdE5OzsXFxNqidPnrRr167gkqlPP/108+bNhRc8afbo0SMNnwozMzO9vb25U927dxdnkycAkUPCvezyi/AuXrxY6FiKFhMTY2ZmRkTFTYRQKtOnTyeili1bCnh/o1nPnj2JaPTo0UIHUqFkZ2c7OTnlp60Lp3h49uDBAw8PDy6eBg0aBAYGanhxVlbWggULuM6uhoaGXMqDY2lpOXjw4L1792q3wGh0dLS1tTURrV27tvBZruOFg4OD2PaI8ObmTdalyzRzc3NBOgSWxMaNG0l8LUCQcBcJDfPg119/TUR9+/blIQwN18I8KEIiGTYa/O9/jIiNGSNsFFBSf/zxBxF17NhR7fjTp09lMpmhoWF5NuqVVkBAAJfwUigUhc9y9ayrV6+OXFWRTiYn971169V/E+7pSuUPDx+6KBTtw8KOlzKBWE4vc3P7hYe7KBQ/PHyYJ7KtfvlOnDhBRB06dBA2jLS0NK6lp6GhYXH9Mx89etSkSRPun0CR/0CgsKCgIO5Xyo133fQ+f/6ca75V/qKgjx49WrRoUfv27Qsm8WvUqEFERkZGv/32m9h2vgLoCyTcy06cRXjVzJo1i4g+/PBD1E0up+joaFNTU4lEcvbsWaFjKdadO3cMDAxkMtk7Z2gouVWrVjk6OtauXfvgwYNCx/LWiRMnuAd+RNStW7ebN29qeHFsbKyXl5epqamJiUkJq/WVh4Y7xZycnLZt277PO2+6dmVE7KefUoQOpFjibAGChLsYaJgH8/th8vNIUsOyaMyDYiOeYaPBnTvMwIDJZAyjRi9wk1RAQIDacV9fXyL66quveI5n5MiRRFSnTp3Ce2tycnK4xj+urq6iKGadmsoiI8W/myNPpfrlyRMXhaKVQrH22TN+LpqtVH5z756LQjH4zp10sS6uYowtWrRIQ7ERPuXl5Xl7e5PGFqnJyckff/wxEZmbm4uwlKLYaF63VJzExEQu8861tCUiqVTKZd4Ld3XWLD+JL5PJateuXaNGjbCwsFL+EADwFhLuZSTmIrwFZWRkcOUFUUCwnLg1xYMHDxY6kHf44YcfiKhr165CB1JxcKWZCn+uE1xubu7atWsrV65MRHK53MvLS/OSLq6WYgov3Z807IWMiIjgdoJv3ryZh0hEZfduRsRsbFhiotChaCTCFiBIuItBcfNgfl11Hx8f3oLhCn8X2SIV86CoiGrYaPDDD4yIYdSI340bN4jIyspKrWGgUqnk6kqfOnWK55BycnK4asjdunUrvMIpPj6e6+M6ceJEngP7j/Pnmasrk0oZESNijRqxLVuEjKcEdiQktFYoXBSK+Y8f63q9uYqx6Y8euSgUn9y4kSDunpDcB5MNGzaoHZ8zZ87q1asL1+DWNX9/f67B1fDhw4t8qpSdne3p6cmtv/799995Dk+P5ObmdujQgYj69+9ftndITk4OCAjw8PDgihxwnJycfH19Hzx4UKq3mjZtGhFNmjSpbJEAAAcJ9zIScxFeNbt27SKiKlWq8JNoq5DOnTvHpZ/EX4EuOTmZy8Du3btX6FgqCO6+dtu2bUIHUrSkpCRvb29uL6GNjY2/v39uod5THO7ei58bcc3dfjZv3kxEZmZmQrV7EkRWFmvQgBGxVauEDqUExNYCBAl3wWmYB7dv305EVatW5bO5RX6L1BUrVqidwjwoHmIbNhokJ7PKlRkRw6gRudGjRxORt7e32vEDBw5wO48FKX0QGxvLdUD5+eefC5+9ePEit/JUsKUGZ84wIyPWtSs7fJg9ecLCwtiIEYyI8VXsvsxOJCdz/UvHPniQrsvt2stjYlwUik7Xrokn21AcrkiL2rrj7OxsIyMjqVTKf8KdMbZv3z5uWU+3bt2K/JWuUql8fX25ciXe3t6irc4qrKlTpxJRzZo1k5KSyvlW6enpwcHBnp6eXFnRgpn3O3fulOQdFixYIJ4n4gD6S28S7hOOHh184MA9cfQKDw8Pl8vlcrn81q1bQsdSIp07d8YjyjJTKpUuLi5ENGfOHKFjKZHff/+dK5OdmZkpdCwVgcgT7pwbN2506dKFu52aP39+ka/hM+HOGLt586axsTER7d+/v/DZIUOGcCV9s8W9jEiL5s9nRMzZmRXzQERcxNYCJOH168EHDow6dEjoQN5TGubBjIwMblVpkT0DdWr//v1UTItUzINiIM5ho8HvvzMi5uDAMGpEKyMjg6u3cP36dbVTXDnphQsXChIYY+zcuXMGBgYSiaTI5jorV64kIhMTk9DQUP5jY02bsg8/ZGqrj7/+mhkZMXF8uNbgRloa18X0y9u3dbT2fP+LFy4KRdvQ0Iui7zCUnp7ONSpQqwwZFhZGRI6OjkIFduXKFa5FqrOz8+Ni+s1u2rSJe/LUv39/tR0q8M8//8hkMqlU+vfff2vxbTMyMrjMO1eILz/z7uPjo7lMLhLuAFqhNwn35s2bF3l3JYju3bsT0bhx44QOpKSuXbvGzc3v1XpSbVmzZg0R1apVS1/uDPLy8rh/L7/88ovQsVQEepFw5+zZs6d169bFdajnOeHO/m10YW1tXXhtY2pqKrc69T15EBgfzypVYkTs+HGhQymx2bNni6cFSExMDBHVqFFD6EDeUxrmwZkzZxJRixYtBFmw9r///a/InTSYB8VAtMOmOHl5rFkzRsQWLBA6FCgG19a7cLvI2NhYuVxuaGiYkJAgSGCcpUuXcrWqw8PDC5/lqu3VrVs3kee6crdvMyK2erX68Rs3GBErTalooTzNyuJ6mX5y48Z9bX8cu/DqVZvQUBeFYjePvXbL7MKFC9wvT7XjGzZsEKSBQUFRUVFOTk5EVL169atXrxb5mpMnT1pZWRFR27Zthf3XKirJycm1a9cmotmzZ+voEpmZmcHBwcOGDbOxscnPvDdq1Ojnn38u8ikgEu4AWoGEe6nt3r2bK93A991S+YwYMYKI3N3dhQ5Ez7x69apatWpEVORyFdE6efIkd8f/jK9GQxWYHiXcNeM/4a5SqbgVZx999FHhpO3Vq1cNDQ0lEonIO2FoxdChjIiVtSSjMETVAgQJdwFpmAfz+2GeOXNGkNhu377NtUgt3Dga86CwxDxsNAgJYUTM3l4ZGyv2rpLvp/bt2xPRpk2b1I7PmTNHJGXQhg0bxqWxChfWyMzMbNWqFRF1796d1yfZQUGMiJ08qX48K4tJpUxPFpC9zM0dce8eV/XlvPbqUEVmZHS+ds1FoVipJzMFt1Xim2++UTs+duxYIvr1118FiSpfSkoKt+PWzMwsODi4yNeEh4dzO5wcHBzu3r3Lc4QipFKp+vbtS0SdOnXi4TdDXl7e2bNnvb29uSpYRNSmTZvCL0PCHUArkHAvnaysrAYNGhDRKr2owltAQkICt5Po8OHDQseiTyZMmEBErq6uglSELI9+/foR0bBhw4QORO8Vl3D/4IMPHBwcBCmVWDb8J9wZY8+fP69RowYRzZ07t/BZru2hnZ1dbGwsn1HxTKFgUikzNGSl7FckPPG0AEHCXUAa5sGBAwcS0aBBgwQJjMNlGYpskYp5UEAiHzYa/PDDbRubRsOHDxc6EFB38+ZNIrK0tExLSyt4XKlUco+HQ0JChIotX0ZGRsuWLYmoT58+hQf/kydP7OzsiGjmzJm6iiAri4WHs7172cKFbMQItmYN27yZEbEiP0RXqsRGjNBVJNqWrVJNffTIRaFoExq6Rxur0RPS0z+5edNFoZj66JG+fMzjltAVbl7Cte09ceKEIFEVlJ2dPXToUCKSyWTLly8v8jWxsbFcwbGRI0fyHJ4ILVu2jNsQXFwpHh3Jy8v7+++/x44dW+TCGiTcAbQCCffSmTdvHlebrLi2hGK2aNEirrhbkQ3EobCHDx9y/WcUCoXQsZRaZGSksbGxRCK5fPmy0LHot+IS7lwXmleir/aYT5CEO/u3KKFcLj937pzaKaVSyVXo6tGjh6gKC2iRSsVcXRkRmzpV6FDKRCQtQJBwF4qGefD8+fNcP0yePyKqSU5OtrW1LbJdBOZBoYh/2GiAYSNaP/zwAxGNGTNG7fjhw4eJqF69eiK5kYiKiuJ+KRXZU+fEiRNyuVwikezZs6e8V8rNZZGRLCSErV3LfHyYuztzcGAyGSN6+9W3L9u/nxGxI0fUvz01lRGxH38sbxg8UjG29tkzF4XCRaFYFB1dnr/v169ft2jZ8qvt20fcu5etP8uquMc5anfUSqWS+1RSuKOJIFQqlZ+fn+YWqWlpaZUqVbKysoqJieE/QvG4deuWiYkJEe3bt0/oWP4DCXcArUDCvRTi4+MrVapERMf1qApvAdnZ2Y0bNyYif39/oWPRD7169SIiLy8voQMpoylTphBRu3bt9G55vqgg4V5+3FCsVatWUlKS2qmEhASu7IDg22B1ZMsWRsSqVmX6M1L+g2sBYmBgIGwLECTchVLcPKhUKrnaCLNmzRIksIKWL1/ObU5XayLHMA8KRC+GjQYYNiKU3y41LCxM7RS3l0VUDRuOHz/O9T8scmMxt73PwsLizp07JXxDpVIZFRUVEhISGRDAxo9nvXqxhg2ZgcF/cuvcl4EBa9SI9e7NJkxgq1axCxfYkyeMiC1apP6m588zIrZzZzl/WP7tfv68TWjogKtXh48cWfjXfknk5uZyv6YaN26crD/3Zzk5OcbGxlKpVO1m/t69e0RUp04dgeIqWkBAgKGhoUwmu3DhQuGziYmJRFSpUiWRPCcTRHp6epMmTYho9OjRQseiDgl3AK1Awr0UuO1R/fWrCu9/HThwgNuyJJIH4GJ2/Phx7j4gLi5O6FjKKDU1lavmsXXrVqFj0WNIuJdfbm4uV3f1888/L3z2yJEjEonEwMDg4sWL/MemU+nprHZtRsQ2bxY6lHIQQwsQJNwFoWEeXLduHRHVrFlTrbaDIPLy8po1a0ZEfn5+aqcwD/JPX4aNBqmpqVxx2wrQvqXCCAgI4Botqh2Pi4szMDCQy+Vi69bANR63traOiIhQO6VSqbjCSo6OjkXeRiYnJysUisDAQF9fXw8PDxcXF+4WjoiCPvroP+l1a2vm6sq8vJifHwsMZAoFy8wsIpqPP2Z167KCpc+VStarF7O1ZeL+x1icc0lJDs2bE1Hnzp0LL+Z4pzFjxhBR5cqVH+hVsb9r165xDwnUju/cuZOIPvvsM0Gi0uDUqVNr1qwp8hQ3U3Tq1InnkESFu8F2dnbOyMgQOhZ1SLgDaAUS7iWlUCikUqmhoaF+TcyF9ezZk4i+//57oQMRtdzcXGdnZyJasmSJ0LGUy6ZNm4jI3t5ej0qNiw0S7loRGRnJtZH4448/Cp/lqv3Wr19fj/48S2LaNEbEXFyYXi/fEUMLECTc+adhHnz9+jW3MWXXrl2CxFYY1yLVwsKicEMIzIN80q9ho8HGjRu5YSPyZwPvj44dOxLR+vXr1Y7Pnz+/uMf5wlKpVP379yei5s2bp6enq51NTU3l/qW4u7tfuHAhICBg2rRpAwcObNGihbm5ORXF3t7+448/3jplCvv1V7ZvH7t9m5V8cfedO8zWljVpwgIC2JUrbP9+1qMHk8tZ+cvaCOfmzZu1atUiogYNGty/f7/k37hw4UIiMjY2Pn/+vO7C0wXu99KXX36pdvynn34iotmzZwsSVdlw+zy8vb2FDkQwu3fv5sbhjRs3hI6lCEi4A2gFEu4lolKpuFYkU/W0Cm8Bd+7cMTAwkMlkghfEF7OlS5dyN3Bl26goHiqVqk2bNkQ0ffp0oWPRV0i4a0tgYCARmZqaFt5DnZOTww3UgQMHChKbLjx5wkxNmUTCzp4VOpRyE7wFCBLu/NMwD06aNImIOnToIKqCG3379iWir7/+Wu045kE+6d2wKY5SqeSGzYwZM4SOBdjdu3clEom5ufnr168LHlepVA0aNCCio0ePChWbBi9fvmzUqBERLVu2rPDZe/fumZmZcdVK1VhbW7u4uHh4ePj4+AQEBCgUCrUfvCwiI9mQIczGhhExExPWo0cFuDt59uxZixYtiMjW1vZsyX6coKAgqVQqkUh27Nih6/C0jmtjsHDhQrXjbm5uRBQcHCxIVGXzxRdfENGmTZuEDkQY0dHRNjY2RLR69WqhYykaEu4AWoGEe4ls2bKFiKpWrapHyTUNxo0bR0RdunQROhCRSkpK4qbAQ4cOCR2LFly8eFEikRgbG0dFRQkdi15Cwl2Lhg8fTkRNmzYtvHfy4cOH3B/pli1bBIlN67y9GREbPFjoOLRB8BYgSLjzTMM8GBERwfXDvHr1qiCxFScyMpILrHCvS8yD/NDHYaPBhQsXMGxEYvz48UT03XffqR0/duwYEdWuXTsvL0+QwN4pPDx8wYIFxT1kcnJykslkjRs3/uqrr2bOnLlt27bLly8nJyfrNqbc3P/8p0rFAgKYWP8A3yk1NbV3795EZGRktPNd9eivXLliampKRIsXL+YnPO3i9nmEhISoHa9cuTIRPX36VJCoyoZ7FiXOxd26lpubyy3l7Nevn9CxFAsJdwCtQML93dLT02vXrk1EAQEB/F9dF5KTk7mJeY8+byTUnVGjRhGRm5ub0IFozeDBg4nIw8ND6ED0EhLuWpSWlubo6FjcHlJuq6y5ubmw/Tm1JSeH+fuzmBih49ASYVuAIOHOMw3zoLu7OxGNGDGC/6jeidtW3759+8LpLcyDPNDTYaMBho0YZGVlcR9bQkND1U4NGDCAiObOnStIYOV048YNIrKysipccIZX337LiNhPPwkZQ/nk5eWNHj2aiCQSia+vb3Eve/ToUZUqVYho5MiRPEanNSqVitsPoXYbFh0dTUSVK1cWKrAySE1NlUqlRkZGQu2bFNb06dOJqGbNmomJiULHUiwk3AG0Ql5kkbjibIqPP5yUVPBIJbl8Q+PGpXoTvfPLL79ER0e7uLgMGTJE6Fi0w9raevbs2WPGjJk8eXKvXr2MjY2FjuitX6Kjr6WmFjziaGo6t1493gK4cePG+vXr5XK5v78/bxfVtYULF+7fvz8oKOiff/75+OOPhQ4H3l9mZmaBgYFt2rRZsWJF165duRIQ+b7++uuTJ09u37598ODBFy5cMDQ0FCrO0vrqK7p6lYKCqEWLtwfbtiVPT7K3Fy4srXJ3d+/Zs+fRo0dnzpy5atUqocPRrfEREc+yswse6WRl5c3X36WY58ETJ04cPHjQwsJizpw5vMVTctOnT9+6devFixd37tzJPSvNJ9g8GB9Pv/1GJ07Qy5dkYUEffUSTJlGdOkREz57RgAE0bx516/b29Skp1KsX/fwz9enDX5DaoL/DRoP8YXP69OnOnTtfvHhRqVSW/NubyeWWeXmluF6NGuTgQEQUH09Ll9KJE/Tqlfqwef/s3r07MTGxVatWLVu2LHg8MTHxwIEDcrn866+/Fiq28uB6CHt6enJrrgXzzTe0dSstWkQuLjRwoJCRlJVMJlu5cmWjRo0mTpw4e/bsZ8+erV69Wi7/T5YjOTn5k08+ef78+SeffKKn9zAPHz58/fp1rVq1uOdP+cLCwohI7V+HyF2/fl2lUjVt2tTAwIDXC2dm0urVtH8/PXtGhobUsiX98AO1a0dE9OoV3bpVqjc7L5Ewxkr++qZNm1pZWZ05c2bBggVSqXTLli22traluiIA6J9SpecXRUd3vnYt6Pnz/K9gvp7LCbXC/cmTJ6amphKJpISF4fRFXl4e90c6f/58oWP5jx8ePOh361bBMfZ3SgqfAXCfwydMmMDnRXnAfcr94IMPRLvrVrSwwl3rlixZQkTW1tZPnjxRO5WamtqwYUMi+vHHHwWJrWw++ogRsdat/7Mn29qaVbDavwK2AOF5hXv/8PCv794tOBNdLn/93BIT7TyYm5vbtGlTIlq0aBGf8ZTKhg0bqJhelwLMg/fusWrVWK1a7Oef2bZtzM+PNWjArKwYV/QmIoIRMbUOogkJjIitW8dThNqj18NGg9mzZxPRhx9+mJeXZ2JiUqoPWXFt2jCiUnyNGcPYu4bN+6dz585EtHbtWrXjXNPFvn37ChFUeWVkZFhbWxPRtWvXhI6FMX9/RsTMzVl4uNChlMvu3bu5f6Q9evQoeH+enZ3dpUsXImrRooUYboPLZteuXUUOeF9fX9K3lcjLly8n/rcapKWxNm2YuTkbM4atX89WrmSdOjGplG3YwBhjJ0+W7tc1kYFUWqoZ4ejRo8nJyVzhBA1bMUQCK9wBtKJ0K9yJyFgqHWBnV9rv0l8TJ07MyMjw9PTkiqZVGDKZzN/fv2vXrgsWLBg+fHiNGjWEjuityoaGQo0xbu2bjY0Nt9WrIvnxxx83btzILUDjNn0DCGXChAn//PPPgQMHhg4devLkSZlMln/K3Nx8+/btHTt2XLx4cefOnbm6nHqhbVu6fp3WrqXRo4UORWeaNGkyevToZcuWTZgw4dSpU0KHo1t1jY0FvNsR5zy4cuXK8PDw+vXrc33bxGn48OFr1669cuXKr7/+yqVK8wkwD379NZmY0JUrlL8g8fvvydWVPD3pzh0+AuCLvg8bDX788cdNmzZdv359w4YNHTp0yMrKKvn35tWrR6Vav1m/PtG7hk2BGfN9cP/+/TNnzpibm3/55ZcFj7N/n66NHDlSoNDKZdeuXSkpKe3bt//www+FjoVo3Di6fp02b6Z+/ejqVbK0FDqgMvr888/t7e379Olz/PjxTp06HTx4sFatWoyxb7/99u+//65Ro0ZwcLC5ubnQYZbRtWvXiKhFwa2UGo+LmTAx+/rSjRt0/jy5uLw58t13NGQIjRlDbm5kZUWurqV6P1eZLLc0e56sra2//vrr6Ojojh07zpgxo1TX4l+lSj07dbKysdGncQUgRqVKzy+Kjv6fQK0tBFnh/vfffxORqalp4WWYFUP//v2JaOjQoUIH8tYPDx6MvH9fkEtnZmbWrVuXiNasWSNIALoWGBhIRHZ2din8LpbUd1jhrgvPnz+vXr06FbPJ5pdffiGiKlWqxMXF8R9bGXz0EfviCzZ5MrOyYvkhV7wV7ky4FiD8r3CfLVybRHHOg4mJidx6zODgYEFiK7lz585JJBITE5PCN2+8zoPh4YyIrV6tfnz3bkbETp6sMCvcK8aw0eDPP//kb9jculX0sAkKejNs3jOTJk2iolbCnjx5kohq1qyppxs327dvT0QbN24UOpB/ZWSwli0ZEfv0U6ZUCh1NuURERHBt3mvUqBEWFjZ16lQisrCwEKQVnBb16NGDiP766y+147Vq1SKiBw8eCBJV2XDPmS5evMjfJZVKZm3NCic9YmKYRMJ46QOxYsUKIrKysnr8+DEPlyunBQsYEcMCd4ByKvUK9xzGLr5+nf+fDU1MzGSy48nJpX2flEOHlKUpa5icnExE+/btUygUpb1W2ahUKm6v4tSpU7m9PxXP4sWLDx8+vHXr1tGjR7dt21bocN5IzcsrOMaamZllqlQXXr0q1ZtI8/KeHzpUqm85ePDg48ePnZ2dv/3221J9o77w8PDo3Lnz6dOnv/rqK67NFG+aNWvWpk0bPq8IImdnZxcQENCzZ09fX9/u3bu3bt264FkfH59Tp06dOHFi+PDhR44ckUgkQsVZKjNm0LZtNHEi7dghdCg6Y21tPWfOnNGjR48dO/b58+e8Fd9MSUkhooyMDG5JY8nZffopK+We3y5WVkT0PDe34EzUysLCgMdxKMJ50MrKav78+WfPnv30009L9Z78c3V19fLyatCgQbVq1dROlXke/NTEpEpmZimCcHKi+/eJiAovX+Uq7SoUb0pyJyRQRMTbs6W/oxbc4sWLK8Cw0WDgwIGrVq06ffr0vHnzFi9erNuLXb1KVNSw4ZZkKhTUtatuAxCTnJycLVu2UFHL2P/44w8iGjFihEwPl/zfvXv34sWLlpaWA8VTM93EhPbupVat6MAB+uUX0uedvvXr1z937txnn312/vx5V1fXzMxMAwOD3bt3f/DBB0KHVi5FrgpPSkp6+vSpubl5fW5/jD7Iycm5c+eOTCZr1qwZf1eNiKCUlCJ+tdrbU7VqpPv80u3bt7m+7mvWrKnzvjbkAHgPlTrh/jovb1yBDwaz69ZtYW4+98mT0r7PnR9+yPxvT7B3MjExUdsdrGs1a9a0tLScMGECnxflU7169dzc3O7evSuqvqkPMzMLjrFNjRunK5WlHWOVZbJjI0aU9tIWFhY+Pj5qbXb0Tlpa2u+//+7t7V24C9P06dOvXr166tSpo0eP8hnSpEmTkHAHNd27d588eXJcXJyTk5PaKalUunHjxkaNGtnZ2THG9CXhXqkS/forDR1Kw4dTjx5CR6MzXl5evr6+BgYG33//PZ/XNTAwePny5YhS/mJ3DQvLUqlK9S2OpqZEdPn16ysF7lKONW9uzePUIMJ5UCaTff/99zz/pZfZmjVrijtVtnkwrk0bunKlFBGMGfOmPEjhXrvckfzE+rhxNG5cKd5ZfGrWrFkxho0GU6dOVSgUfKy/SUkhKsGweT/s3bv3xYsXzZs3V3sqn5SUtG/fPqlUqqftUrlfUIMHD+a2HopFnTq0Ywd98gn5+lLLltSrl9ABlV3lypVPnjzZu3fvf/75RyaTDRgwoIee35bFxMS8ePHC1taWW8+ej+uY+uGHH0pLubZAQOHh4Tk5OU5OTryOf+5Xa5FFdO3tefjVampqWqVKlVq1an3xxRe6vhYAiEepPz1WNjA42rx5wSOv8/L6/LdZdkm4DB6cl5NT8tfv378/OTn5s88+s7GxKe21yiYvL2///v2vX7/et2/f4MGD1c6qVKrNmzc3btzYtZTVvviXm5s7e/Zsb2/vKlWqqJ169erVlStXnj9/HhERIZ7H/i0tLNY1alTwSFRWVmnHmHFurv0335TqW86fP3///v2goCBPT8/CZ69du3b27Flvb+9Svacg/Pz85s+ff/ny5X379qmd2r59e0ZGhoODA9fcjDfi2T8BouLn51dcMv3XX3/NysoKCwtjjPEcVXkMGUKbNtGYMRQeLnQo5XPz5s0zZ8589913hTNoISEhL168MDExGTx4sJGRET/xZGRk7Nq1y9TUVK2M7zvVt7bOK+UDG0u5nIg+tbWdWbduqb5Ri8Q5D1YMZZsH8+zsqGnTUlymQwfiHtikpNB/8yNvPvbnPxFfu5b69Hl7NimpdBcSgYsXL6amplbsYbNjx4709HQ+7gO5gfHOYfN+4Jaxf/fdd2rHJRLJzz//HBsbq49bkDMzM7dt20ZEpX1+zIfu3WnWLJoxg4YMoatXSX8WTRd2//79q1evKpVKItq5c2e9evXmzZunLws4CuOWt7fkNkiV4LiYCVPAnWt5zf0iVZOSQra2ur5+RETEkydPEhISbty4IZ6sCwDoXKkK0LxvNdw3btxIRPb29mlpaWqnVq9eTUQffvih+EsH/vbbb0TUunXrwqcmTpxIRK6uriqViv/AiiRg7dqEhARLS0siOnLkiNqp+Ph4IyMjmUx2Q6DxX3KPHj0yNjaWSCRnz55VO6VQKKRSqaGhoX6V+RMcarjz79ChQxKJxMjIiEu4ix9Xw50THs4MDNhvv+l3DfcuXboQ0bx589SO5+bmOjs7E9HixYv5jAc13PmhYR6sGHidB//+mxGxvXvVj589y4hYYGCFqeGOYaNNp069Y9i8NyIiIiQSiampaQXrPBQQEEBEbdq0ETqQYqhU7PPPGRFr3pwV+vyrL/Ifxnh4eKxfv54rfzdgwICMjAyhQyujWbNmEdFPP/2kdpxbhbBp0yYhgiqjMWPG8H8bydLTmVzOJk9WP56ZyQwN2fjxPITAbfZq2LChXnwWQw13AK3Q79IZujZs2LA1a9ZcuXJl4cKFc+bMKXhq+PDhCxcuvH79+oYNG7y8vISK8J2Sk5Pnzp1LRNw8XVBERMTKlSulUqm/v7/+PvDXoipVqkybNu2nn36aOHFit27dCtYmrlq16nfffbds2bLx48efOnVKwCDf6ccff8zKyvL09OzYsWPB44yx8ePHq1SqSZMmNWzYUKjwAN7p2bNnw4YNY4wtXLiQ7/Uv2uDsTOPH09y5lJ0tdChltXv37r///tvGxqZwIYjff//99u3bDRo0GDt2rCCxgU5pmAcrAL7nwQ4dqGpV2riR+vX7z/ENG8jcnHr0oMREncfAiwo/bMaNG6dSqSZPnrxly5ac0mzP9baysn/5shQX69CBPvmEqlalTZvUh8369W+GTcUVHx//4MGDh/+6dOkSEf3vf/+zsrISOjRt4pbtF65KLxYSCW3aRHfv0s2bNHKkPjalSUtL6927d3R0dMeOHbds2WJsbFynTp0BAwbs3r372bNnf/31l52dndAxllpxq8KFWS1ePlwZHL5jNjWlHj3ozz9p1iwqWMpmyxbKyaH+/SkyktatK9VbTpVKlaUpWjh69OgLFy7cuHFj4sSJ60p5LQDQV6VKz79vK9wZYxcuXJBIJCYmJlGFFrv9+eefRGRnZyfmlRejRo0iIjc3t8KnevfuTUQjR47kPyoNBFzZxxjLzs5u1KgRES1btkztVHJycuXKlYlo9+7dgsRWEtzDAFNT0ydPnqid2rp1KxFVrVpVj1ZkiwRWuPNJqVR27dqViD755BPx7Lx5p4Ir3Blj6emsbl1GpJcr3DMzM+vVq0dEq1evVjuVlJRka2tLRAcPHuQ5Kqxw542GeVDfCTAPBgQwIvb99yw+njHGkpLYlCmMiC1dyhirMCvcWYUeNlzTTm7YmHBFCUosrk0bRlSKrzFjGHvXsOFXnkr1xe3bal/BiYnlfNvk5GSFQhEYGOjn5+fl5eXq6lqpUqXCf4AmJia1a9dOSkrSys8iBnfv3pVIJObm5q9fvxY6Fo3u3WOVKjEi9ttvQodSOnl5eX379iUiBweH58+f5x+/desWt+a9fv369+7dEzDCsuGCv//fe4PU1FRu8012drZQgZWWUqk0NzeXSCQC/Lu+eZOZmLAuXdjt24wxlpnJNm5kpqZswADGGDt5snS/rokMSlk3/+jRo+Hh4VyLtR07dvD945cSVrgDaAVWuL9D+/btv/rqqx07dvj4+HAZ9nwDBw5ctWrV6dOn586du2TJEqEi1OD27dsbNmyQy+X+/v5qp06cOHHo0CELCwu1lfvvOUNDw0WLFvXt23fWrFmDBg2qXKBgrrW19Zw5c0aPHv3jjz/27t1bVG1mOUqlkmvwO3XqVLWilhkZGdOmTSMiPz+/Ij/SAIjE/PnzT506VbVq1U2bNunvzhtTU1q8mAYMEDqOMlm8eHFUVJSzs3Ph8rLTpk1LSkpyc3PjntdChaRhHtRrwsyDQ4cSEf30E61eTRYWlJpKNja0YgVVuA0iFXjYTJ8+nYgWLlxYqVKlefPm5ebmluL7LSyof/9SvN7FhYho6FBijHx8xDBsVEQRmZldraxcLCzyDzYszYOHDKUyOjs7Ojv74ZEjl48e5dawJxfVorBy5coNGzZs1KhRw4YNGzZsWKdOnTFjxoSGhn7xxRdHjx6VyWRa+HmEtm7dOsbYkCFDLAr8eYpR48a0YQMNHHjpwIHsFi06d+4sdEAlNX78+L/++svW1vbIkSMFV7I3bdr00qVL7u7uYWFhHTp02L9/f6dOnQSMs1SSkpKio6PNzc0bNGhQ8PiNGzdUKlWzZs0MDQ2Fiq207t+/n5aWVrduXd7a8r3VrBmdOEGjRpGzM5maUlYWyeXk5UWLFxMRNWhAfn6ler/5EomqNI2mGjVqVK9evcWLF48ePXr06NHt27evK1yvIADgSanS81lKZapAJcuFWuHOGIuJieFWhv7zzz9qp65duyaTyQwMDMT5qJxrCDZhwgS140IV4S2JdKUyXakUNoaePXsS0ejRo9WO5+XlcU1O5s+fL0hgmnF9BWrXrp2enq52ivu42LJlS6XQf7b6CCvceXP58mUDAwOpVBoSEiJ0LKXz+nURlU6Tk9mZM8VWQH3xgomwA0hMTIy5uTkRHT9+XO1UeHi4XC6Xy+W3bt0SJDDicYV7Wl5epnC/LcU8D+ovIefBvDwWFsZCQtiVKywn5+3x3Fz26JH67wilkj16xES++rUYFW/YcA9pXFxcRDRs+JWjUrkoFNsTEkr44pisrMuvXu1ISJj/+PH3Dx70uXWrlULholC4KBR95s/P//hpZGTk5OTk4eHh4+Ozdu3akJCQ2NjYwm8YHR1dpUoVIpo2bZq2fzIBZGVlcSng0NBQoWMpkQMLFhBR1apVY2JihI6lRBYtWkRExsbG586dK/IFqamp7u7u3AgU/xLjfCEhIUTk6uqqdnz58uVENGLECEGiKpvt27cTUb9+/YQM4sEDFhLCzp4Vaqr94osviKhNmzY5wv1ufyescAfQitIl3AUkYMKdMTZ79mwqpkUqV8C9e/fuggSmQVBQEBHZ2NgU3rHFtVFt0KBBVlaWILGJ3J07dwwMDIpskZpfsyU6OlqQ2IqTkpLC3cQXrngTHR1tampaZBtVKAkk3PmRkpLCLfT4+eefhY5FO+bNYxJJ0VVlNm1iVlZs7VreY3oXT09PIvr8888Ln+revTsRjeelr1RhPCfcQcM8qI8wD/IDw6biKS7hnqtSPcnMPPPy5bb4+F+ePPn+/v3eN2/m59YLfnUIC/vy9u0fIyPXnD69YcOGM2fOxHOlckrm1KlTcrlcIpEEBQVp9ScTwLZt24jogw8+EDqQklIqldxTtLZt24r/M+Pu3bulUqlEIil8x15QXl4e17RTIpH4+vryFV25/Prrr0T0ww8/qB3/+uuviWjlypWCRFU2kydPJqI5c+YIHYiQUlJS6tSpQ0QzRFx6Egl3AK1Awr1EMjIyuEzQukJVNZ8/f8418zl8+LAgsRVJnEV49Yi3tzcRdenSpfCp/v37E9HQoUP5j0qD8ePHE1HHjh0Ll7328PAgosGDBwsSWAWAhDs/vvrqKyJq3bq1HlWi1OzCBSaRMBMTVrgYeGAgI2J2dkxUHUAuXrwokUiMjIwePnyodmr37t3cE9zEcpfuLRsk3PmnYR7UOwMGDCCiIUOGCB1IxYdhU8FwCXe/J08uv37NfV1LTWWM/fzoUeHcetvQ0D63bn3/4MH8x493JCRcfvUqJiur/FsDuGXLFhYWt7nKy3qLK8yyZs0aoQMphaSkJAcHByIaNWqU0LFocuXKFa40tp+fX0le7+/vL5VKiejbb78V8ypjDneHvHHjRrXjn3zyCRGdP39ekKjKplu3bshCMMbOnDkjk8mkUunJkyeFjqVoSLgDaAUS7iW1a9cuIqpSpUrhFqlcAfcGDRqIJ080d+5cInJ2ds7NzVU79d1331ExbVQhX36L1L1796qdevTokbGxsahWPN2/n2hsbCaTyQr/Azl37hzX9bdwG1UoISTcebBu3ToiMjc3f/DggdCxaNOgQYyIDRxYxKnOnRkRmziR95iKoVKp2rZtW+TO/aysLK5s6KpVqwSJjSHhLgQN86B+4ebBItuJg9ZVmGFz9uxZDBv2b8K94Ff3GzcYY+tiY/vcujX2wYOF0dG7EhLOv3r1NCsrT2etzrkKDI0bN3758qWOLqFr9+/f59ql6tF9I+f69etcLvuPP/4QOpaiPXr0qGrVqlz2vOTfFRgYyHXk+uSTTzLEXcXL0dGRiK5du1b41IsXL8STfygJboJ49uyZ0IEIz9fXl4js7e1fvHghdCxFQMIdQCuQcC8FbmHCpEmT1I7n5OQ0btyYiJYuXSpIYGpEW4RXv6xcuZKIHBwcMjMz1U5NnTpVsJqeRfnkE9aoUcbPP6tnhJVKpYuLCzbulRMS7rr24MED7leW5l3A+igmhpmZMSJWqAMIu3aNyWRMLmfh4UJEVsjmzZuJqFq1aoWH9Lx584p7gssbJNwFoWEe1Bf58+DcuXOFjuV9gWFTkZSqhrvupKWlNW3alIj69u1beCunXuAqaYwcOVLoQMpi69atXN3zy5cvCx2LuqSkJO5j+P/+97/S3qVcunSpSpUqv7Vvz5o3Z2J9tJaWliaVSg0NDfUrsV6kx48fc+sXhQ5EFJRKZZcuXYioV69eIvy1hoQ7gFYg4V4KGlqkHjx4kIgqVaoUFxcnSGwFDRkyhIgGDBhQ+JSwRXj1S15eHjfqfvnlF7VTqampNWrUIKItW7YIEltBBw8yImZlxZ4/Vz+1du1aIqpVq1bhNqpQcki461RWVtaHH35IRF9//bXQsejE7NmMiH34YREtUr28GBETQwcQDb/T4uLiKlWqVOQTXD4h4S4IDfOgvlizZg3mQZ5VgGHDdaHHsGGiSbgzxh4+fMjV8FywYIHQsZRadnY21/31ypUrQsdSRqNHj+b+USSIYDDky8nJ6dq1K7cmoGy7H6IiIlRNmzIiVrMmE2XzifPnzxNRy5YthQ5EC/bt20dEPXv2FDoQsXj69ClX6ff3338XOhZ1SLgDaAUS7qUzcuRIIurdu3fhU1wZNcEr3Im5CK/eOXnyJFfmovDGt4CAgOJWg/IpJ4c1bsyI2G+/qZ969epVtWrViCgwMFCAyCoQJNx1at++2UTUqFEjsQWmLRkZrG5dRsQKdQBhz58zKytGxA4dEiKyAjTs2tHQRpVPSLgLRcM8KH6YB4Wi78OGK09RAbp0lp94Eu6MsWPHjnFVj0XVN6skdu7cSUTNmzcXOpCyy8nJ6dSpE9ehQcDtbgWpGJvz8GGnESPs7e2fPn1a9jdKSnpT5s/cnImstvidO3e4DMOnn34qdCxaMHPmTCL6+eefhQ5ERPbs2UNEH3448uZNcS1yR8IdQCuQcC+dhIQES0vLIluk3r1718DAQCqVKhQKQWJjJSvCW7iNKmjQr18/Iho2bJjacQ1/1HxavJgRMUdHVrjfz/z5RyQSaadOnUS4SU2/IOGuOy9fBisUkn/+6RQaGip0LDq0axcjYlWqFNEidckSRsQaNGBZWQIExsnvS3Hp0iW1UwqFgtvIXPgJLs+QcBdQcfOg+E2YMIGIXF1dMQ/yD8OmYhBVwp39W/XYxsYmMjJS6FhKgVuFvXLlSqEDKZe4uDh7e/siy6sKYtWzZy4KRdfr18PLf4uSlcUGD2ZETCZjIvhrio6O9vf3d3V1JSKuBouhoWEFqLv46aef4hF4YTNnnjMwYE5OTFRbqi5fZosWsTNnhI4DQM8h4V5qixYtIiJHR8fCPc0Fv0cXeRFefRQZGcmlogpXLdSwmYAfCQlvlscWXuhz/z4zNGTNmr2+dk0c9aH1WXEJ94SEhLi4OD36QC62hHtOTsz165UVCoqPF0X3C53i1k4V/oiav0llyRIhwmKMMda/f38iGjp0qNpxlUrFfdibOnWqIIEVhIS7gDTMg2L28OFDQ0NDYZdBvM/0dNiIYfWMqIgt4a5SqbhnOR988IG+FPyJiIiQSCQmJiYphZ+665sLFy4YGhoS0a5du4SN5K/ERBeFonVo6Glt/amqVMzXlxExIubtzYRo0xUXF7d8+fIOHTpIJBIu1W5tbf3NN98MGDCAiCQSia+vL/9RaRH3wEbwNRxik5nJmjdnREzoQgmMMbZlC/PyUq+utGABW7tWoIAA9BwS7qWWnZ3N9Wb5rVAVD2F3oYq/CK+emjJlChG1a9eucGpV2GILI0cyIlZUfSPWqxcjYl5evMdUERWXcBehqKio8ePHF34WyBFZwl15/343hYIePOjJmN48tCgzrkWqgQEr1AGEHT/OiFilSkyQDiCnTp3SXDiratWqYtjGgYS7sDTMg6LVq1cvIvLCRCgcfRw2IqkPKSrJublZQiQfi/P69WtHR0ciGjx4sNCxlMhPP/1ERN98843QgWjHihUriMjMzOzWrVtCxaB4/bpdaKiLQvFn4QZW5bRxIzMwYETs889ZRoaW37wYKSkpAQEB7u7ucrmcy7ObmJi4u7sHBgbmN0r19/eXSqVcx6Pi7vNF7sWLF1zHu8LVCyE8nJmYMCK2c6fAkXDphdat/9N6ql075uEhXEwA+kxvEu7fLl3ay9f3TlSU0IEwxtiBAweIyMrK6sWLF2qnBOyz9PPPP4szL6zv8p9kbN26Ve1UTEyMubm5IE8yNOTvQkKEzN9VPHqRcE9LS5s+fbqJiQkRLVu2rMjXiCrhHhs7T6Gg69er5OS8L8N0xAhGxNzdizjVqxdr3z564sRfeQ4pv7fh/Pnz1U6lp6fXqlWLiAICAniOqkjxSUm9fH2/1MNeeRWDhnlQnI4fPy6eVvbvLb0bNocOHcKw0Qt3797lFhKtWLFC6FjeIScnp3r16kR08eJFoWPRmqFDhxJRw4YNy9antJwiMzM/vnbNRaFYFhOjkwucOMEsLRkRa9eO6XJvR0ZGRnBwsIeHB7dpgIiMjIzc3d0DAgKKvFfft2+fqakpEbm5uQnyJ19Ox44dI6KPPvpI6EBE6vffGRGzsmLCprtGjmTVqzNjY7Zq1duDSLgDlJneJNy/vH3bRaG4z9ej5nfq2bMnEX3//fdqx5VKpYuLCxHNnTuXz3j0ogiv/tq0aRMR2dvbF74BEqpWD1ehYuJE9eO5uczZWeAKFRWMyBPuKpUqMDCwTp063G5TDw+Px48fF/lK8STc09KuhIYaKBTSV6/eoz03CQlvPsEVVQMqysDAQCaTXbt2jc+QVq1aRUT16tXLzMxUOzVt2rTi2qgKIiEnx0Wh6Km2xxV4pGEeFJvc3FxnZ2ciWoKJUGh6NGxycnK4DaxLl1b8KmcVwN69eyUSiYGBwenTp4WORZPAwEAiatasmdCBaFNmZqaLi4uXlxf/S61f5OS437zpolD8FBmpw7uTW7dYnTqMiDk4FLGyqZyyslR//eU5aBCXPScimUzWvXv3jRs3vrPo0OXLl7nN9E2bNn3y5ImWA9OxBQsWENG4ceOEDkS8PvuMEbGOHZmABYBHjmQffsh8fJiV1dule0i4A5QZEu5ldOfOHS4/UrjKzdmzZyUSiampKZ8ToV4U4dVfKpWqTZs2RDR9+nS1U4J0o/3zT0bE7OyK6MG4dKnwPRgrGDEn3BUKRX5LJRcXl7Nnz2p4sUgS7nl5L2/dqqdQUEyMj7CR8G/RomK7HPPfAiQ5Obly5cpEtHv3brVTT548MTU1lUgkmkcUn5BwF5yGeVBslixZQkQNGjTIwkQoNAwb0J1JkyZxdc9idLTSWRu6d+9ORMuXLxc6EC0TpIB+llI57O5dF4XC8+7dTF2vBoiNZS4ujIjZ2DCtPNRRKtnZs8zbm1WuzIgmtWjB3br7+/uXakvNo0ePmjRpQkTVq1fXr1YTAwcOJKLNmzcLHYh4JSez2rUZEROwVj+XcH/9mlWvzgYNenMQCXeAMkPCvezGjRtHRF26dCl8iuttMmTIEH4i0ZcivHqNa5FqbGwcVWijV1BQEBHZ2NgkJibyE8zff7MmTdiaNerHk5KYjQ0jYgcP8hPIe2H8+PG2traurq6iWksSGxvr5eXF1XOsXr362rVrNaxEViqVAQEBZmZmhoaG7du39/f3j4+P5zPagh49GqRQ0J07rVSqbKFiEEp29psWqYU6gLBXr15Vq1aNiAIDA/kJRsMU9vnnnxORp6cnP5GUBBLuYqBhHhSP58+fW1lZEdGhQ4eEjgUYw7ABncnLy+vRowdXTjO/1LWoPHr0SCqVmpiYJCcnCx2L3lMyNikiwkWh+PTWrSR+FgCnprLevRkRMzZmZW7PplKxc+fY2LGsatU3HVmJWIsWkatWlfljRXJy8scff8xV0g8ODi5jYDrw5MmTAwcOFHe2YcOGRHTz5k0+Q9I7Z84wmYxJpezkSWEC4BLujLEtWxgRCwlhDAl3gHJAwr3sNCwPjI6O5m15oB4V4dV3gwcPJiKPoiYcbgHL+PHjeQsmJ+c/zUw4o0YxIubmxlsU74Xs7GwuE2pubr5gwQLB175lZ2f7+/tz1UsNDAy8vb01P047ffp0ixYtuFXwXIKeiORyuZub2+rVq3muVPvixXqFgsLCzDMz7/N5XfE4cIC1a/eiZcsvC7cAWbNmDW8tQDRs0uKe4PK8SeudkHAXCQ3zoEiMGjWKK3ErdCDwlviHjZeXFxF1795d6ECgdBITE+vVq0dEY8aMESoGDSUlufZaw4YN4zGcCuvX6GgXhaLL9euPCxXB06G8PDZ2LDMwYPnNuh4/ZnPnskGD2JdfsmnTmIb0cXg48/Vl9eu/zbPXrct8fNjdu+WPKzs7m+vQJpPJBO9kkJSUFBAQ4ObmJpFIzMzM0tLSCr8mNTVVKpUaGRnpacdXPs2YwYhYzZqMr4V8jDGmUrELF9iLF28T7ioV69yZNWrEsrORcAcoOyTcy0UMBXA1xDB16lRRFeHVdzExMVxRjr///lvtVHh4uFwul8vl4eHhQoTGxcDkciaXM+FCqLCio6O5+1ouHyrgE6zg4GAHBwcuEnd394iICA0vfvr0qaenp0QiIaKaNWsGBAQkJiYGBAS4u7vnN2iSSqWurq5+fn489HjIynp47ZqFQkFJSfrRQE9HxNACpLgY8vLyPvjgAyKaN2+ermMoFSTcRULDPCgG169fl8lkws7FUBiGDehOWFgY1zF+w4YNur5WcnKyQqEIDAz08/Pz8vJydXW1tLRct25dkS/Ozc3lmgafO3dO14FVeNvj410UinahoVdfvxbg8vm/GXbuZEZGrG5dNmgQGzuWNWvGpFL2yy//eXFUFPPzY46Ob/PsNWsyb2+m7UV4KpXK19eXu8n39vbm/8N+SkrKxo0be/ToIZPJuM8UpqamX3zxRZElns6cOUNErVq14jlIfZSby1xdGRHr3ZvpusxkfqGjmjUZEVu+/G3CnTEWHs4MDNiSJUi4A5QdEu7lonl1ee3atXVdqix/lf2ePXvUTuW3URVPEd4KYM6cOUT0wQcf5BVaXi74qrqPP2ZEbMIEoa5f8Z06dYr7984V4rjBb+7v7t27XJKUiBwdHQ8X7rxZQHp6up+fn7m5OXf76+Pjo1a6PSUlJTAw0NPTk3sNx8nJydfX957W20MxxhhTqbLu3GmhUFBU1DBdvL8e0bC6/Ny5czy0ADlw4AARWVlZFV5lv3r1at5W2ZcKEu7ioWEeFBy3y34CJkLxwbAB3dmyZQsRGRsbX716VVvvmZqaGhYW9ueff86bN2/o0KHt2rWztbWlokybNq3Id9izZw8RNWnShLfWLBXVmZcvW4eGtlIoDvG54rewu3eZkREbPPhtHx6Vivn4MCJ29ChLSWELF7IPP3ybZ69alY0dy86d02nSdPPmzdwamn79+vFz55aZmRkcHOzp6Vmw6aubm1tAQMDr4h+HLFu2jIi8vLx4iLACiI5+UyR21SqdvH9ODjt2jHl5sSpV/rMBY82a/yTcGWM//sisrVmjRm8S7i9f6iQegAoMCffy0lA/nbv/02n9dP0qwlsBZGZm1q1bl4jWFCqgnpSUZGNjQ0QHhSigHhT0pq9PUhL/F3+PcMXQq1Spwq0N9/T0TEhI0PVFk5KSvL295XI5EdnY2Pj7+2vYv8wYCw4OrlOnTv4q+MePH2t4cUZGBnffzNWoKZh5v337thZ/iujocQoF3bpVPy8P/SSEbAGSnZ3duHFjIvqtUCH5lJQUOzs7Igoqc61SnUHCXTw0zIPCCgwM5H5JJmEiFB8MG9ApbtVL7dq1nz9/Xtrvzc7OjoyMDAkJ8ff39/LycnNzc3BwyC/BV5CRkZGTk5OHh4ePj8/atWtDQkJiY2OLe1tukYS/v3/5frL33e309I5hYS4KxQZ+SyAWYexYZmbG1D7U5+UxBwfWowdLTmZGRoyIWVkxT08WHMz4qp1y8uRJrgVF27ZtddeiKS8vLyQkxNPT08LCouAeWX9//5L8oxs+fDgRrV69WkfhVTy7d79pH1BocU7ZZWWxkBDm7f2fPHu9em82YHAPhtQS7unprE4dRsQ8PNjevczKiv35p9biAXgfIOGuBf379yeioUOHqh1XqVTt2rWTSCTbt2/XxXVTU1Pt7Oz0qAhvxcB9NrOzs0tJSVE7tXTpUiLq06cPzyFlZrJ69RhREW1UQReSk5N9fHy4FSVWVlZ+fn466taVm5u7du1abheLXC738vLSfFMbGhrasWNH7j64ZcuWpdrdkpGRsW/fviFDhlhaWuZ/tjxzpv+zZzMyMsp7r/fy5WGFQhIaapCWdqmcb1UxCNgC5OjRo1Kp1NHRsXAZzfHjxxNRx44dRbgcDwl3UdEwDwpFtPlcyIdhA7qTk5PD3f9069ZN86KE5OTkQ4cO/fbbb6NHj+7evXvdunWLzK0bGxs3a9asf//+Pj4+69evP336dKl63jx58kQmkxkbG+NBTskdTUr6/sEDta/A589bKxRzNK4d4Unz5szVtYjjw4czU1OmUrFFi9j+/UyIVk+3b9/mfpXVq1fvrjZqxOdTKpVnz5719vbmFmTkr8vx8/PT8LSpMG6L8KVL+BRQCiNHMiLWsmV590hkZLDgYObpySwt3+bZnZyYj08RhY7UEu7s31V9Hh5syBBGxCQSNnYs47OTAoBekzDGCt9kiNBXd+48zMzc4eTUyMRE6FjURUVFOTk5ZWdnX7x4sW3btgVPXb9+PTU1tVOnTjq6dGJiYkhIyFdffVXwIFcI+MaNG/PmzeNKyYN2ffzxx6dPn544ceKSJUsKHs/NzQ0ICBg2bJiBgQGf8cybRzNmkLMzXb9OcjmfV36v3b9/f+LEiYcPHyaiRo0aLV26tHfv3lp8/5MnT06YMOHWrVtE1K1bt99++61Zs2bFvTguLm7WrFkbNmxQKpWVK1eePn362LFj84sqlopSqbx48WJQUNDx48E7drxQqdKJyNCwrpVVH2trD3NzVyJJad8zIyM0KmpQ5cojq1adXIaQKqTVq1ePHj26Xr16d+7cMTY2Lnhq+vTp8+fPHz169MqVK3Vx6dDQ0Ozs7A4dOhQ8eO/evebNmyuVyitXrnCl5EXleW5ur5s37QwMjvxb1gmEVdw8WFDfvn3T0tK0eNGQkJAiU2NENG/evBkzZjg7O1+/fl2OiVCsMGxAd+Li4lq1ahUbG+vj4+Pn51fcy/7++++uXbsWPGJgYFCrVi2Hfzk5OTk7O9epU6dsN1GcGTNmzJs3b8iQIVu3bi3zm7xvNsbFrY6N/bp69YIHR9eocTU1tYW5uVxS6ptPLatWjbp0oZ071Y/PmkWzZ9PLl1RgwQr/4uPj+/Tpc/XqVWtr671793KVssrj9u3bW7du3bJlS1xcHHeE294xZMiQBg0alPBNXr58GRwcHBQUdPr0aWNj48ePH+cXooF3ysigQYNo5kxq2bKM337yJAUF0f79lJr65qCTE3l40BdfUJMmRX9XaCglJ1P37v85GBxMdnbUrh398QeNH0+ZmeTkRDt3Em7JAd5N6Ix/SYl5hTv7tw29SNqTirYIb4Vx7do18fTXiolh5uaMiB0/LnQo76WQkBAnJyfu16mbm5tWyrA8fPjQw8ODe88GDRoEBgZqeHFOTo6/vz9XEMbAwMDb21tbNayUytzXr088efL9jRvVFArivm7erB0dPT419Sxjxf6uUyoznj9f9eTJd1FRQ+PifsnMvM0YUyrTGBPdumkBaWgBkpaWFhQUxPMy808++YSIRo0axedFSw4r3MWmJPOgpbazD8UtXI2JieHaURzHRChuJRk2BeubaUVxVePzh404W7lCGZw/f97Q0FAikfxZfNWD2NjYHj16jBkzxt/f//Dhww8fPtS8Ir4McnNz7e3tiej06dPafeeKbUNsbOvQUKGjKJ69PevXr4jjP/3EiJgIchRpaWl9+/YlIkNDw61bt5btTcLDw319fQum1OvUqePt7R0WFlaqSHbs2NGnTx8jIyPuTYyMjKKiosoW0nvu3j3m4cHUPiuEhDAPj6KXmScns4AA5uHBzMz+s57d15fdv6+FeMLDWdOmb8rdoGIWwDthhbt2pKWlNW7cODY2dsuWLZ6engJG8vLly0aNGr148SIoKIirBQy6MGrUqHXr1nXv3v348ePCRvLqFc2dS8+eFbHkAviRm5u7atUqX1/fV69eGRgYfP/993PmzClbpik9PX3RokVcjRozM7PJkyf//PPP+XerhR04cGDChAmRkZFE5Obmtnz58ibFrVgoF1Va2oVXrw6mpOzJzo7gDsnllS0tP7G29qhUqadE8nZLh0qVdvdu65ycGEvLXlKpSWbmLWNjp3r1sMKrCNw6O3Nz8/v379eoUUPASA4dOuTu7l6pUqX79+9Xq1ZNwEiKgxXuIvTOefDMmTO5ublavGLXrl0lRS1y9PT03LZt24ABA4KCgrR4OdCFdw6b06dP5+XlafGK3bp1K/I4hk2F5O/vP2HCBHNz80uXLjk7O/MfQHp6+h9//DFhwoTGjRvfvXu3yF9ZUKSNcXFr4uKulG01Lw86dqSMDAoLUz/+xRd0+jTFxwsRkzqlUjlx4sTly5dLJJKZM2fOmjWrhN/45MmT/fv3BwQEXLt2jTtib2//+eefe3h4uLq6lnAYZ2dnHz9+PCgoaP/+/ampqUQklUrbt2/v4eExaNCggkVpoOQuXCBXV5JI6ORJ6tLlzcG1a+m77yg1lczN3xxJSqJDhygoiI4fp5wcIiKplNq3Jw8PGjCA7O21GVJmJk2ZQsuXExH160fr15ONjTbfH6BCETrjX1IiX+HOGNu8eTMRVatWTXctUktCzEV4K5Lnz59zDWoOHTrE20Xv3GF+fkxtJdbp02zZsvIWd4PyS0xM9Pb25jYg29ra+vv7F7eqrjgHDx6sWrUqEUml0m+//VZz46O7d+9yS5KJqHHjxocPHy5f+CWVkRH+7JlveHjj/DXv16/bREV5vnwZrFJlMcYSEpYrFJSRcTP/W1QqnRS4rxiKawHCp5ycHK6N6tKlSwUMQzOscBchQebBwi5evCiRSIyNjR89eiRgGFBCGDaga8OGDSOiRo0avXz5UqcXysnJ4bqtrl271tvbu2C31caNGy9ZskSnV694uBXuERkZ+V8vtb35oFzmzmUyGYuM/M/BV6+YtTUbNkyYkIrh7+/PfR4ZPnx44YY9hXl5eeWnhuzs7EaPHn3mzJmS79ovss67i4uLv79/qeq8Q5HOn2dEzNmZOTu/bcS7Zg0jYqmp7PlzFhDA3N2ZgcGbxewyGXN1Zf7+TNd/9rt3M2trRsRq1WJnzuj2WgD6Cwl3rVGpVFwB92nTpgkVw927dw0MDKRSqUKhECqG9wdXgbRBgwY6aphZ2M6djIjZ2rIXL94enDqV2dryc314t9DQ0PyeDS1atCjVbmJur32bNm0uXryo4WXJycne3t5ctVlra2t/f3+t74YuifT0a8+eTQ8Pd8rPvF+7ZpWS8ld09LjQUAMk2Uvo0aNHxsbGEolEwEZSixcv5vlXWRkg4S5O/M+DalQqVZs2bYho+vTpggQAZYBhAzqVkZHRsmVLIvr000+1VeozNzf34cOHhw8f9vf3HzNmTI8ePerVq1dkkXcjIyNnZ+cjR46IocqoftkQG+uiUBT82qpx6QnfXrxgVauy1q3Z06dvjqSksE8/ZSYm7N49QSMrwpEjRywsLIioW7du7+xTvWrVKktLS09Pz+Dg4JIk6PMpFApvb++COyOdnJx8fX0jIiLKFT0UwCXc9+xhxsZswYI3B7mE+/79TCp9k2c3Nmaffso2b2Z89ml+8oR17Pgmy+/ry0q50gzgvYCEuzZx62WMjIwePnwoSADcitfvvvtOkKu/b/hfFsol3KtXZ99++/YgEu4iFBwcXLduXe7W093dveRVCy9fvqxhb0pubu7atWu59SNyudzLy+v58+faibgcsrIiExL8791zVSgkmZn3XrxYr1BQZOQX2dnRQoemH6ZOnUrCtQDJX23K2yaJskHCXZwE3x7BbS60t7dPTU0VJAAoAwwb0LXHjx9XrlyZiObOnVuGb09OTj579uzatWt9fHw8PDxcXFxMiqpoKpfLHRwc3NzcvLy8/Pz8goODIyMjS7u7EfJxK9y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+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1591,10 +2451,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "id": "5a0787b4-d199-4522-a0f2-4f6d61ecc004",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.243199Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.243033Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.337908Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.337368Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "18 B2 fragments with no retrosynthetic route found\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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JcA8MpD//pC5dqEMHevSIXr2i6tVJ6zvCPXnyxNfX18fHJzg4mI+UL1++Z8+ezs7ODg4On7iIlJyc/NNPP/n5+RkYGGzcuNHFxUVTS4acXbt2bfz48YGBgURUr1695cuXN2/e/BP354nwv/32Gy/N7+bmNmPGDHNNJZlXr067d9Mvv1DNmjRrFjLcZTNnzpy5c+fa2NhMmDBBrIvGjLHly5c/fPjwl19+mTVrlijHzKU3qam/h4WVMjBAnrvWCoiOPhoV1d7CooNmC6reu3evdu3a6enpkyZNEjE1NSAg4MCBA3Z2djdv3tTX1xfrsJCj4OBgX1/fXbt2hYSE8BFLS8sePXo4Ozs3a9bsEz8YHx/fp0+fQ4cOGRoabt26tU+fPhpZLxHRgQNkYkLt2mXcPHSIdHSoUyeNzQ+fERUV1adPn4CAAD09vXnz5rm7u3/iziqV6tSpU9u2bduzZ09SUhIRlSlTZuDAgcOHD7e1tf3SqXlW+8yZM+/fv09E1tbWU6dO/URWe3b79u3r3bt3Wlqah4fHnDlzvnQB35R3795VqVLl7du3Q4cOrVevnliHvX37tre3t4WFxf3794sXLy7WYUXUuXPnw4cPt2jRolevXmIdMy4u7rfffouPjz9y5EjHjh3FOqw43r6lsmUpMZGEd+S//iIvLzpzRtZlieny5csdO3aMior6/vvv9+zZY2xsLHzrxIkTU6ZMuX79OhFVr159zpw5zs7OGl7epUuXdu7cWahQIWNj44kTJyLXPp/q1q2bv7//Tz/9tHXrVulmmTmTUlNp4cKMm7/8QlFRyHCH/CE1NbVly5bPnj17+fJllm9ZWFjYZGNtba29GfpyR/xzx8ODEbGpUzNHRo9my5ez1FT51vRRYWFhXl5e6iH1okWLuri4BAQEpKen5/IgKpXKw8ODiBQKhYeHhyqf5PIXPBEREW5ubry+Z7Fixby8vD6W1BAWFpbl1/T8+XMXFxf+NOCl3qX7PSqV7N9/mZsbO3+e2dmxoCAWFsZKlGCPHiHDXR5hYWG8FMbp06fFPfLZs2cVCoWxsfHTp0/FPfKnPUpKsr9y5YegIE1OCl9k/cuX9leurH3xQsPzdurUiYhGjhwp7mFTUlJ4aurKlSvFPTIInj17xs9YhNPCYsWKubq6BgYG5v4NS6lUjho1SjhjkXK9H9i3jw0ezFJSMm6uXcuOHNHY5PAZN27c4EnrxYsXP3nyZPY7vHjxIjWn0/ioqChvb+/atWvzJ6SOjo6Dg4O3t3cu93VlyWq3trbOZVZ7dnv27NHXN2jZ8pr6RgrIbvz48UTUrFkz0c9yecR51KhR4h5WFDxNtVChQq9evRL3yAsXLiQiOzu7HP+DyKx6dbZ5c8bXKhVzcmKzZ8u6IDH9+++/PDuqW7duyXyb8If4y4uwHadp06Znz57VwMKePHni6ekpvKzxywAODg5v3rzRwOwgutDQUCMjI4VCIenWwBkz2OTJmTfnzkWGO+QbY8eOJaKyZcuuXr167ty5gwYNatGihaWl5ceKrZmZmdWqVatbt27jx49fsWLFwYMHg4KCNFwP4GPyScC9a1dGxHx9M26GhTEiVqyYrGvKKjIy0sfHx9HRUXgeFC5c2MXFxd/fP5cnTHfu3PH391cf8fb25sk4gwYNShE+U4JGpKamenl5FS5cmIj09fXd3NzevXv3sTvzwJC9vX32N87//vuvSZMm/CnRoEGD8+fPi7hIpZIFBjI3N1amDCNiRGz06IyAO2Ns8WLm7IyAuzx4mmefPn2kOPiPP/5IRAMGDJDi4B+DgLv2kyXg/vfffxNRkSJFpPjgt3//fiKysLB4+/at6Af/lkVERHh7e6tnBhQpUoSfsXz1bk0vLy9+/jNs2DDNbPlcsIAZGrJ58zJuDhvGcGlGS/z555/8knP9+vWfPHmS4306dOhgYWHh6up669atHO9w5coVV1dXoYtDkSJFXF1db9y48bFJRQy1C/bte6ary4jYb7/l5TAFWXBwsL6+vo6OzpUrV0Q/+N27d/X19XV1dW/evCn6wfMiLS2tRo0aRLRkyRLRDy5cbPby8hL94F/p119ZWBhjjF24wEqUYCNHst9/Z46OrHFjFhcn9+LE8ffff/NAdv/+/T/9upGSkuLt7V2yZEl+mdnZ2fnBgwdSLCn7O3XZsmXd3Nx8fHx4Jwxra+sc69OC9psxYwZ/i8x9OuaXT4GAO+RKenr6wYMHe/funeOFRs3z9fXl8bfscbOUlJSQkJCjR4+uWbNm8uTJP/74Y/369S0sLD6WXF66dOmmTZv2799/1qxZmzdvPnPmjOYfTj4JuJcvz4jY/fsZN/39GRFzdJR1TRnevXvn4+Pj5OQkbHg3MjJycnLy8fFJSEjI/XGioqKsrKx0dXVXrFihPn7kyBF+sb1NmzbR0dEirx4+IiAgoHr16vwX6ujoeOfOnU/fPygoqFy5cvzEa8CAAVnqYalUKh8fn9KlS/M7uLi45DEdJjmZHTzIBg9mRYtmxNmJWOXKbOpUduNGZsA9NZXVqsUUCgTcNe3cuXM8CT1LoOHdu3cvv0pMTIz6cZ49e2ZiYiJ1ZkQWCLhrP80H3FNTU3mXgqVLl6qPp6SkfN1TPTw8PMsUHTp0IKIxY8Zo7EEVYNHR0fyMRSisYWxs7OTk5OfnJ8pFfWEDfvv27bO8aklhwQI2eDArW5Y9fMgYAu7aQb1o+4ABAz6WXpSUlFS3bl3+JFQoFC1atNi2bVuOd46JieEhJ+Hjk729vbe3d5xamE+KULvA15fp6SHm/lF8h9OIESMkOj5Pc2vTpo1Ex/86S5cuJaJKlSpJFJ7w9/fXoovNvr6MiFlZMb7HNzKS7d3LVq1ip06xglLKfNeuXfyD/MiRI3MZAI2Li/Pw8OBvefr6+q6urmLtdUhMTPTz81N/pxZy+ISXtVevXjVo0ICIzM3NDx8+LMq8oEkJCQn8qsmGDRskmuLNG6Z+JejlSyb2bhwoCN6+fWtlZdWoUSMfHx9t2FYVEhJSqFAhIlqzZk3ufyoxMTE0NDQgIMDb29vd3d3Z2dne3l7I2BCUL19+48aN0i0+R/kh4B4RwYhYoUJMeP+bO5cRsSlTZF0WY4xdvXpVqJ5mYGDg5OS0Y8eOuK+91O/l5cU/ori5uanXLblx40b58uWJqEaNGh9LFAKx3Lt37/vvv+e/06pVqx46dCiXP5iQkCCceJmYmHh4eGT56BgfH+/h4cGfMKamph4eHklf2OEwISFxzx7Wrx8rVCgzzl6zJvPwYOqpP+3aZV6cOn2a2diw+PgvmgfyJD09nZ8EZy+tMGzYsI9dgP207MU6Zs6cSRJnRmSBgLv203zAffHixURUrVq1LKdop0+f/rqnuqmpaZYp7ty5wzMcP5YGC7l09uxZAwMD/u9saGjYrVu3Xbt2fVFmQG5cuHCB5/3Vrl372bNn4h48iwUL2OTJbMUK1qEDYwi4a4GIiIh27doRkZ6enqen52fvf+XKFTc3NyE1qXDhwq6urlevXs3xzkFBQe7u7sXeN3AyNzd3cXE5fvy4dKF2wa5djOe5L1gg7oHzPb7DSYqyKoKoqChewP2vv/6SaIovFRkZWbRoUSLK/WeEr6At5XQSE5mVFSNi69fLvBLJbN++nYe23d3dv/Rnnz9/7urqykuPmpqauru7f/XFZqVSGRAQ4OLiIgSJDA0NeQ5ffE4f5JKSkvr27ctfb78oMgVa4s8//ySiYsWKRURESHH8lSuZjg47dy7j5vjxeAuDnAVpzaf7xMTEOnXqkEhFAtLT0589e3b69OktW7bMnj17wIABvMn5pUuX8n7w3MsPAfdjxxgRa948c6R7d0bE/vxTvjUxxtjz588rVqxobGzs4ODg5eX1+vXrvB/Tz8+PB2S7d++u/jH4+fPnPBWodOnSly9fzvtEkF1UVJS7uzuPR1hYWHh6en5Fxl9YWJhQt718+fLZ67Y/ePBA6LFja2vr5+f32WMmJCT4+/u7uLiYm5tbW6fwOHv16szDg+VmH6FSyTw82LBhX/pQ4Ctt3LiR//aznx9PmjSp9FfJ/hkgISGBd6fcsmWLZh4XAu7aT8MB99evXxcpUoSIsmdXXbx48eue6ra2ttknGjNmDGlfhmP+EhISYm1tbWhoyM9YJM2aDA0N5fseypYte+3aNSmmePKEnTmTEXBPS2N16zI/PwTcZXbjxg1ra2siKlGixKlTp3L/g0lJSX5+fo6OjkLZhOrVq3t6ekZGRma/c0JCwtatW4VGvsKPVK5c2cfH52NddvJuyxamo8OIWC6uI3wrctzhtHLlymPHjuXxyCdPnly2bJlwc9WqVURkY2PzpXkqEhkxYgQROUq801pbyunMmcOIWN26mcnsd+4wBwd28aKcqxLPmjVreDG0r4i2C+7evSt8uCtevPgXfYRMT08PDAx0c3MrUaIEPwJvXJGbd2qh5RsRubm5aSwFB8TSqlUrIhonTamXlStZ7dqsdm3Gr0Ej4A7a76effiKiqlWrxmarz9C3b19XV9cFCxb4+vr+999/X/dBxt3dnYh++uknEdaaa/kh4O7pyYiYm1vmSMWKjIjduyffmhh7v91P9BDAuXPneCpHgwYN1DfXx8bG8mQHU1PTAwcOiDvpNy49Pd3Hx4ef6Ojo6Li4uOTx8sm///7Lr84RUcuWLa9fv57lDidPnhQagrVu3TrHk+moqKitW7d26dJF2EWhUCgGDTq3eDF79OgLFnP/PjMxYURs5848PCTIndjY2DJlyhDRn9JfEdy+fTsRlSpVSgOlGxgC7vmBhgPuw4cPJ6LOnTtLPZGQ4bh//36p5yqoeCJVly5dNDNdZGRkixYtiMjMzEzEJNCICObtzRwcmELBbG3Z/PkZ9UnPn2dWVqx/fwTcZbNz504TExMiql+//lc39A4ODnZ3dxeiTkZGRs7OzgEBATm24gwODp44cSKvrrZp0ybpQu2CzZuZjg5TKNiHpR+/XUuWLCGiSpUqCbHFhw8fGhoa6ujo3MvDZ7RHjx7p6urq6+sHBwfzEaVSyc+ZF2hBuOjGjRu6urp6enoaSAl0c3PjHxOknuijnj9npqaMiP37b+Zg+/aMiI0dK9uqxOPp6ck/XmUpi/d1Lly40Lx5c/7yVaVKFT8/v0+3EQ4KCvLw8BBasPJrjR4eHo8+8jEvKioqNDQ0+/imTZt4PZwePXqIvmsNJBUUFKSnp6enpyfFdbWVK9moUaxHD7ZoEWPaEXBPSEg4ceKEzIsAbbV27Voe6sxezDk5OTl7u1QjIyMbGxtHR0dXV1dPT08/P78rV658utbI06dPdXV1DQ0NNdlxOj8E3Hv3ZkRMyOKMimIKBTMzY3JfxZ07dy4RTZGgss2DBw8qV65MRFZWVupPuLS0NJ5Voauru3z5ctHn/TadOnXqs7Hvr8CD+KVKlRKC+FlqE6elpXl7e6tH+fn//IiICF5jV9j7L2Q6ZCkNn3vr1jEiZmaWWWoGJDJ58mQiatKkyadPskWhUql4lt+0adOknosh4J4faDLgfv36dR4TyUtgJfdWrlzJMxy1pJ9PvjNlyhQimjt3rsZmTE5O7tevnyi73aOi2MaNzNExo6wHETM1ZX37sjlzMhuCDR3KjI3ZypXs4UOGHvOaxIu289MVFxeXjxVtz73k5GRev5hXaeC5Tp6enjlmQtja2hKRxtoGbtyYEXNftUozE2qvN2/eZN/h1K1bNyIaPHhwHg+ePYX85MmT/ALeC812Bc+OZ6ROmDBBA3MJF5v37t2rgely0K8fI2K9emWO/PUXI2IWFkyaIhiaxHPDdXV1xS3pGxAQULNmTf7a1bBhw3/++SfLHcLCwry8vOzt7YWwkaWlpZub28c2hCUnJ/ONziYmJl27ds3xPoGBgfypUrdu3TDe3hbyidGjR0uRwcneB9wfP2YlSrCnT+UPuPv7+1tZWRkYGNz/xuMRISFsyRI2YQJbu5ZpMOybG9euXfuiHYoiunHjBq/MvG3btuzfTU1NPXz48KpVq/73v//17Nmzbt26hQsXpo8oW7asg4ODi4vL7Nmzt27dmiUE7+TkREQLFy7U1CPLFwH3KlUYUWaN6hMnGBFzcJB1TYwx1r17d+nyWCMiIngozdzc/MiRI+rfUi/1jr1jecT3rfA4jhTVIaOjo93d3Q0NDYmoSJEinp6eWaJFkZGRo0eP5qUDixQpUq9ePeETpr6+fvv27b29vUWpVtSnDyNiDRogEiGhBw/SqlatraOjo7G6T1euXNHR0dHMuQsC7tpPkwH3li1bEtHEiRM1MBdjTKlU1qpVi4hyUxgasuOVtf39/TU5aR53uycmMn9/5uzMDAwy4uyGhszJifn4ZHQC5yVluMhIVrw4+/VXVr48a9OGoce8ZkRERDg6OlKui7Z/kdDQ0OnTp5ctW5Y/hQwMDJydnbPE1nnTHU3ufVm9mikUTKFgIsboEhISrl+/7uvr++uvvw4YMECi8gLicnV1JaJ27doJI0JM/OXLl3k8eI5F0vnHrkGDBuXx4Hnh7/+4aNHixYsXj9bUS8zq1auJqFOnwTJU0zl/nikUzNiYPX6cMZKSwipXZkT5/YqTSqUaP348f+HKMbiTRzynim945ZeObt68yZuWq9fOsrCwcHFx+dgmHqVSeeLEicGDBwtxJV1dXScnp48l9Dx48IB3syhXrpxExdyyi4iIyF75Ab6IcF1t9+7d4h6ZB9wZY/PmMWfnjIC7LKGjoKCgNm3a8KdxvXr1ZC6TJa/jx1nx4mz+fLZ7Nxs7lpUpw3LatiKLFStWVKxYcfPmzZqfOjo6mu/1GT16dO5/Kioq6sqVK/7+/uqNUvluS3VZis8cOnSIh/40FkfV+oB7XBzT0WGGhkxoyLZwISNiY8bIuizGGOMFlKVL7ktOTu7Tpw8/G/D29lb/lq+vb46l3uGLnDx5slWrVkZGRl/Rv/SLhISE8ItpRFS5cuXsddt5p1YjIyNDQ0NDQ0NHR0exugIIoqMzmh5pJBn6G9W1K9PXT5027agmJ+UXjXr06CH1RAi4az+NBdx9fX2JqESJEhoLOrD30Rxzc/O8R3O+QfzjnCyJb8Ju9x9//DE36c/Jycn79+//3/+CeCUDIqary9q1Y5s2ZQ2jJyUx9ePFxbFLl1iZMhltToQYEUjk+vXrQtH27FmcYklPTw8ICHB2dubPoiwB9wkTJhDR77//LtHsOfL2Zubm7I8/mKsrE3YenjvHNmz4/M+mp6seP3587NixFStWjB49ul27dhUqVBACcJy1tbWk68+77DuchGuiYlV9Wbp0KRFVqlRJyFMJDQ01MjJSKBQabncmSEpi1tasSJEoH5+zGptUqVT++OMRIjZ/vsbmZIwxlp7OGjZkRGz27MzBBQsyXl7F7kusSUqlcsiQIURkaGgoaSfeuLi4uXPnmpubE5GOjg5/BSMiExOTvn37Hjx4MEu3eQEvNWNlZSW8JvC2Fp89+YmIiBCKuUl6fT0pKcnf39/Z2dnAwGAlSrnl2bp164jI0tIyx+64XyolhXl5sYEDMwPuycmsalXWoAFbsIB168ZcXJhkXa6z4qmHfNd+0aJFvby8NFD/TatVq8Z27cq8OX48c3GRbzUfiIuLk+W3o1KpevToQUQNGjTI+z5mpVL59OnTf/75Z/PmzTNnzsy+5U6lUvFSIpK2PVen9QH3wEBGxL77LnOkb19GxDZtkm9NjDEWFRWlUCjMzMyEayMrV67s0KGDuL+5LNlh6te0P1bqHXLvt99+I6KxmqpCGBAQUKNGDSHZIXvxR57nLm4vO/XrCGfPMj09pqPDAgJEnAEy8L035uZMw8HA8PDwQoUKEVHe25R9GgLu2k8zAffExET+OTDLlWANEKtewbfm2bNnRFS8eHG5FhAQEMBz9Jo0afKxsolZGsfVrj2KiNnbMy+vL/tk+Pw5q1uXEbHSpdl//4mz/tz43//Y6tWZN/v3Z/HxrGvXD96Ff/iBFZhcQKFou729/VcXbf8iL168yN4knFf8HDJkiAYWoC48nJ05w/T12Q8/ZIxs3sz69s16t+hoduUK8/Njnp7MxYXZ27PChZmBgVmW9CsDAwM7O7sePXq4u7tv2rTp/PnzGn44Xyr7Dieh6pdY+StpaWn8nHnJkiXC4NSpU4mocePGGqjal92vvzIiVqOGpqPNp05llIXUaDWdzZsZEStXjgkRwPBwVqgQI2ISn21KKjU1tVevXjzqffz4cQ3MGBER4erqamxszJuWe3t7fywl/OnTp56entWqVRNeGSpWrOju7v5FuX3JyckDBgwgacrPKpXKo0ePuri48KsIPClw0qRJ4s7yDUpPT2/QoAERzVa/vvVV9u1j1tYZyQpTp2YE3BljAQGMiE2enLFl0NyczZ/PJN03o1KpshTX1WTVbC3FM4nV/93PnGHVqsm3IK2wYMECvuPnY+0rRLdw4UIicnJy0sx02h5wD9y06ULLlq/U+4ZXq8aImKa2Sn3MiRMniMhBrbJNz549ieiPP/4Qfa4NGzbwUGyvXr3UT2TVS71rrH5lQcID7pqpf82lpqYuWbKEV70sVKhQll6XPPch933tPysggJUvz86dyxyZO5cRsVKlGK7RiCstjdWqxYiYBguCZZo/fz7Pf0mT8lPgo3fvel28OFqTESz4Qj737vW6eHHT+0ZzEvnll1+IqG7duprPgwgNDeUd+eTKcMyn9u/fT0Tt27eXcQ23b9/m+wJtbW3Vwwcqlers2bNjxozhn8q4unXrLly46KujuLGxrFOnjFLvGqs1UqsWK1SICW13jI1ZVBQj+iDCrq9fAOoes7S0NHGLtufFqVOniKhZs2aan/rMGdakCatXj/FMGx5wP3WK/f47GzqUNW/OSpTIiHpk+dOw4YDWrVuPHDly6dKlhw8ffvjwYf7K+PPz88uyw0koibBv3z4RJzp+/Dg/W371/ppbXFwcLzG0Y8cOESfKjefPmZkZI2IaCdJm1aMHI2I//aSh6RJjY5mlJSNi6v/OgwYxIta9u4YWIYHk5GRemKhw4cJnz2pumwL/L9OpU6ccvxsZGent7e3g4CDsdClatKirq2tgYODXXVhSqVSenp78aK6urqJ8NAgKCnJ3dy9dunSWpPtXGsuULujOnTunUCiMjIy+OuYYEsK+/z7jXaZaNXbsGDt1iqnHpTw92ZEj7P595uyccbfy5ZmPD5Pi8uXly5ebNGnCnyotWrS4ceOG+HPkR48fMxOTD0bu3GHFism0Gq3w77//6unpKRQKTdYGjIqKMjEx0dHR0UyIX9sD7oMHDyYiod1WfHz8qdatXzVpwuRum8YvjIxRq2zD99VKFPg+duwYT2J1cHBQz4AWSr1bWFjI1eIg/9J8wJ178+aNq6tr9ovYogfcJ01iRMzSkkVFZYykp7M2bRgR69RJkvfXb9by5YyI2drK88qUkpLCr72tVk+wFNvdu3eJqNo3fx1em/FW3rNmzZJuiufPn5uamhLRv//+K90sn8Cbf2qmL3GBwbfKuavnLsjh5cuXvE1c0aJFz5w5w3fN86aXnJWVlbu7e7AYV4zS0tjIkRnlaDRT9r9WLTZlCmvRIuO9tQAH3HlRaQMDA83vccnu+fPnPPir+anPnGEODuzMGWZtzRISMgLuXbp8EFs3NGTVqzNnZ+buzry9WWAg+zDRIv9JSkrKvsNpzJgxJE3TP16j39XVVRjZsmULEZUrV06U2gu5N2AAI2I//qjJOTOFhjIjI6ZQMM1ca3Z3d+9ia/uyb9/MjwpXrzIdHWZgwPJtt8P4+Hjey6Ro0aIavmY/Y8YMIpoxY4b6YGJiIu8OLZSaMTY2dnZ29vf3/1ipmS/i6+vLOxB26NAh5mtfd548eeLp6clLw3PVqlXz8PD41pteSoNvTfiKGqHx8czDgxkaZvQz9vL6/C6cU6cy9gISsYYNmYiXn169euXq6qqjo0NEZcuW9fHxwel6ppQUpqv7wYng4cOsfn35FpSzly9fSprDJwgPD+cX0WfOnKmB6dTxkrya+WSk7QH3unXrEtGFCxf4zXPnzhFRvXr15F0VY6xv375EtOl9ZZvo6GiFQmFiYiJdlsrNmzctLS2JqFKlSurvcwkJCbzsUaFChSIjIyWavUDKHnBfsWKF6Pvvck/0gHtqKmvUKOsnhLAwVqwYI2KrV+fzj31aIzIy45/0wAHZ1rB3717+KSJCsnAOAu7aTwMB9/79+xORs7OzdFN8WmxsLG9EJsV+soKqa9euRLRLvWqkTGJjYzt16kREvA8NV6FChcmTJ0vR5M3Li+noMCLm6ip5FYhatdj168zBgfGqJ0LAfdUqtmFDxp8sn7PyI5VK5eDgYGBgIF3R9i+iUql4cQPNnwDzgDtjzMWFTZuWEXDfuJGNH8/WrmUnTzI5OiZIju9wqlOnjvB55+7du/r6+rq6urdu3RJ9ugcPHvBdTUIv+vT09IYNG0r9TpfFhQtMoWCGhuzBA43NmdXUqYyINW4sebpMDjvJVCrWrFlGiYr8KTo6umnTpkRUunRpKZ6on8b7eGXp4MWzB/jFyy5duuzatUv03ULnz58vWbIkEdWqVeuLCn9FRERkSbovW7asm5tbYGCguCsEda9eveLplUeOHMnlj6hUzMeHlS7NiJiODnNxYblvAJeenvmzCgVzds5r55vU1FQvLy9eP1BfX9/NzQ0NdXPg6MjmzMn4Oj2dOTmx6dNlXVAOGjZseP36dalnUSqVjo6ORNS6dWvN7/O7dOkSERUvXlzSPo6cVgfcU1JSDAwMdHV1hSyGVatWEdHQoUPlXRhjjFdYEz4f8j2tTZo0kXTSp0+f1qxZk4hKlSp19epVYTw9Pb1ly5bly5eXotN6AZY94M5PLDTWszgL0QPujLGHDzMqLqp3Pdi3jzVvvq5w4SIaeDH9FowaxYhY27YyL6N9+/ZE5ObmJtHxEXDXflIH3M+fP893vD6WtR/lpk2bZMlwzL/41XotSUlLS0tr2LBhyZIlzczMXFxcAgICJM1+8vNjRkaMiHXsKEn9dKWSBQSwp09ZrVrsxg124wYrXZpFRmYG3GfOZL/8kvGnAATc2fsTYM0HrT6mfv366qk5GiME3MPDWalSbObMHGq4FzDCDif1yy0dOnQgotGjR0s06cSJE/kGX+GFQsPvRCpVRvLKhwnKmhYXx8qWZURs+3ZpJ8reK+XO3r0qc3NWunQ+7UERGRnJC2RXrFjxgRzXTPhbcEhIiPrgjRs3mjdvvnbtWukSZRhjoaGhdnZ2RFSmTBnhqtXHCEn3vJItr73j4uLi7++vmXRX8PT0JCI7O7vc7HK4fDmtceOMLHUHB6YWGfoCsbFs2rSM0yQTE/b779Ffd2p98uRJ9U51omxVLJgePmS2tszJiU2cyBo2ZG3bZvTJkLtctjrNbErgxQlLly792XbQEvnuu++ISAPhU60OuF+9epXXCBNGhg4dSkSrVq2ScVWMsYSEBF1dXQMDAyE2umTJEiIaJXSmkExcXNz3339fvHjxLGcMvAOMj4+P1AsoSL6FgDtjzMcno5St+nvf6NGj+W4JXHzOozt3mJ4e09Njsgcf7ty5o6enp6enJ1EcBAF37SdpwF2WvMJPryTv3aW+BREREUSk3uNddp07d86e7iedc+dY8eLM1jbZwaHz8+fPxTrslSvMzY2VKcOI2OzZGQF3xtj48czNrSCXlOHxuN27d8u9kAx8y6nmT4CFgDtjbOVKZm5e8APu2Xc48f4QFhYW6uUuxRUTE8MrR6u/Ymhyr9XWrRlNmGUvB7RlS0Yf07g4qaY4efIkf78QIiDx8fHly5evWaJE2J9/SjWrxPjHvapVqz579kzzs0dGRhKRqampXG/BUVFRbdq04WvIscuCUqkMCAhwcXHhl9OIyNDQ0MnJycfHB2kNGpaSklK1alX6sFl0dpGRkW5ubnXrjlEoWJkyItRhDwtjLi5MoWD29tPKli3r7e2d+4zjZ8+eubi48GdO5cqV//777zwt5VuQnMwuXmS7d7ObNzN+c82bMyL2LVW6P3jwoEKh0NPTO3PmjFxr4PlbUidMMy0PuG/cuJGI+vfvL4zwNJZz6l0g5ZC9sg2vurVhwwYNzJ6ampo9T41XcNaehKN84RsJuLP3pSdr1cpsi52cnFynTh0t2S+Sr7Vvz4jY2LFyr4MxxtioUaOIqK00yfYIuGs/SQPuclXOzRHPcDQ2NpY31z5f4I0HZekq+TG8YmNoaKjGZgwOZk2a9CEiKyurO0Jj069y/TqbMoVVrJhZp7tKFbZmTWbAPSaGVazIdHU/GnAPC2P5us/95MmTiWjevHnCyKxZs3r06JGQkCDLeniLguka35StHnBPT2cNGxbwgPuFCxey5JWnpKTw4s4rVqyQdGpvb28isrS0FJ5jGusmIuSVa8MWYpWKNWyYsW9GCkqlslatWkS0YMECYXDWrFlEVL9+fe25ZPuleFKaXNcI+Sb4xo0byzI7l5aWNnLkSCJSKBQeHh58MD09PTAw0M3NrUSJEjxaqqOj4+Dg4OXlJd31M/gsfs5mbm6eY9pvWlqal5dXkSJFeDGi+fOfiZg4d/FiHE9nIaLvvvvus5HQhIQEDw8PXiHQ1NTUw8MjWe4mi/nJixeZX48bx4jYiBHyrUajnjx5UqxYMSJatGiRjMtITEwsWrQoEV25ckXSibQ64M6TcBcvXsxvpqSk8KJycdJd2c8dXtlmyJAhwgjfRCP1b+tjYmJidHR0DA0NRemy8u34dgLucXGsenWlo6PnpEmThcE7d+6YmJgQ0c6dO0Wf8Rvx118ZDWq0JGkxMjKSv4H5+/uLfnAE3LWfdAH3uLg4HiTdsWOH6Af/OjyttXfv3nIvRNv9/vvvkhab+lKvX78mokKFCmm4j5bQZN7c3Dz3BVIFjx8zT09WrVpmnL18eebmxgIDM/KThIA7Y2znTkaUc8B91y7m6sp++YVpvF+7aHg2zMCBA4URXmTm5s2bsqxn586dRPTDDz9oeN4tWz7YAh4d/QXFc/MdlUrFAzHqnc34a0suqx/kRXp6Ou+3/MsvvwiDvJp83bp1Ja39On06I2L29kxLos28mryRUV6rLedo5cqVRGRjYyPUtH327JmJiYlCoZAxCTHv+Mc9iZJRPmvZsmVENEILQmleXl68leUPP/wwefJkXuiGq1u37qJFi8IKZN+JfIgX/R80aFCW8X/++YdfEuPP5zxmD+RIpVL5+fnxzthE5OTk9PDhwxzv6e/vz++mUCicnZ1l2T6SXymVrF07ZmDAXr3KGHnwgCkUzMSERUXJurJMSqXyzZs3np6efn5+ly9fFrHyVXJyMn9D79Kli+wNdXnNumHDhkk6i1YH3Hl7k5MnT/Kb169f15JwD69ss3LlSn4zMTGRV3LQQNH9HJ05c4aIGjRoIMvs+de3E3BnjF2+fMvAwEChUBw6dEgYXLduHREVLlz40aNHUkxa4F27xhwcmNw1rj7g5eVFRLa2tqJnGSDgrv2kC7hPnTqVp2jJfm4kCAsL00yGY37Xp08fItrCW3lqgSNHjhBRq1atND91cnIy/9fQ09Pz9vbOzY88e/Zs0aJFrVunCHH2kiXZ6NGZcXZBTAxTj/tFRTGVKuu12MjIjLBdWhrr0CGvD0cugYGBRNSoUSNhhBeZ0ViNoCx4/clatWppctL795meHitUiEVHa3Ja2Qg7nIScp9evX/PmeEePHtXAAs6ePct3NQm9HxMTE3m4J5f/l7+Ovz+rVIlpvEHApwwYwPr3Z6LXvI2KiipevDgRqVcdcXZ2zrLXPD+KiYnhGcGybJEfNGgQEa1Zs0bzU2e3e/duIyMj/q/Bd424ublJ0bEc8uLhw4dGRkYKhULoTfL8+XOhbIutra3U77YJCQmenp68ITlvf/ru3Tvhu8HBwbx1B6/3gFa6X+PHHxkRU7uEzBwdGRGTeLtY7k2fPr1u3bqkxsjIyMbGxtHR0dXVlQfir1y58hVp0K6urkRUqVIl9SeVXB4+fKijo2NsbBwZGSndLNobcE9PTzczMyMi4fFv3ryZiPpqwY7NLJVtLl68SER16tSRaz3Lly8nIldXV7kWkE99UwF3xtjChQuJqESJEi/UNjH17t2biBo2bIjtEblx7Bjr1IkJr8lbtrDNm7Ul74lLS0vjrZUXLlwo7pHFDbinpKePvX9f+LP7zRtRDptfPE5KUn/450QqDStRwD00NJSf+l+6dEncI+fRnDlzNJDhmN/xmg83tKY05Pz584lowoQJssyuUql4BRKe9f+xC0iRkZE+Pj6Ojo78rKBFi9uFCzMXF+bvz0R5q9y8mb3P2ch/+B6FIkWKCCNTpkyhD4vMaFJ8fDwvdaLJ14F+/RgRGz5cYxPKSdjhtF2tX+eQIUOIqGvXrhpbRvbgr6+vLz+tjRbvuseKFWzQoMzzuqlTmbZFk5RKNnnyBx1c+/dneU9NHjNmDBG1adNGGMl+kSP/mjFjhoafroJ69eoR0fnz5zU/dY541mD9+vXPnj2rPSkUkMW0adOIyN7ePj4+3tPTk8fETExMPDw8NJbf+eLFC1dXV11dXSIqVqwYrzXk5ubGe+oWLVrUy8sLp99f6eRJRsTKls08p9y7lxExO7u81uMXw6FDh3R0dHR1dXv16tWjR486deoUKlSIcqJQKMqVK9esWbOBAwd6eHj4+PicOXPm+fPnH3tt4VsSjYyMrn5dk18J8KtHy5Ytk24K7Q24BwcHE5GVlZUwMnbsWCmiSF8qNTU1S2WbtWvXUk4bfzSGXzxfu3atXAvIp761gLtKpeKt6lq1aiW8QUZHR1esWJE+3CYMH7NlCzM2zvyMPXOmVJU08+LEiRP08fJ/X03cgHtCerr9lSsPEhP5n7ff2PWem/HxPYKChIcfI9IJq0QB9+7du8v7HvcxQoajZhqo5EdxcXE6OjrqPd5lx6Nm22StiLxhwwb+ibFXr17qn13fvXu3ZcuW9u3b8+/yz7e9e/f+++8LIm4Z2rGDTZqkDR+pvh6vevn6fQkVXmTGxcVFrvWUK1eOiDTW0SEoiOnoMAMDScp6aKHsO5yuXbvGX1hCQkI0towcy5u0bNmSiCZOnCjWLKNHM2Njtn59xs0OHdj+/WIdWzRt2zITEyZs7qpYkd27l6cD3r17V19fX1dXV2gGlp6e/t133xHR3Llz87ZYrRAREWFmZqZQKDTc7SwtLc3Q0FChUMTI3nL3va5duxLRrl275F4IfEpCQkKFChWIiO87USgUffv2laXmz+XLl5s3b87PiHjcX09Pb+zYsVFaU/wkv6pRgxGxv/7KuKlUZnQHel/bQy5Pnz7lzzpPT0/18aioqCtXrvj5+Xl6erq5uTk7O9vb2xsbG+cYiDcwMMieDn/+/Hm+NXnjxo1yPbrseO/3SpUqSRcA1N6AO78A0qNHD2HEwcGBiAICAmRcFXtf2aZq1arCCN8ZsXz5crmWVLt2bSK6ePGiXAvIp761gDtj7PXr16VLl87yGhoYGKirq6ujo3PixAnppi4YtmxhvXuzSpUY39+inQF39r78n7glyaQIuItyqPzoZnx8HwlqL0oRcD958iQ/yVbfGaM9du3aRUQlS5bUhp2JWujs2bM8SUruhWSytbUlotu3b8u7jGPHjvGEHQcHh+fPn/v7+7u4uPC+JkSkq6vr6Ojo4+MTK2I/MsYYY5s3sxo1mLs7mz9f3ANrVKNGjYhI2EievciMhrVu3Zo0VduEMdajByNiWtMWQVo57nBq06YNEU2aNEnDi5k5cyYRNW3aVBi5fv26rq6uvr7+vTyGnN8bPZpNmMDKlMmoyK+1AfepU1n16ox/Ysh7wP3EiRPlypUbNWqUMJK9UW1+N27cONL4Rvlbt27xUI4mJ1X36NGjLBsUeJZVcHCwXEuC3AgJCalbty4vBluzZs3Tp0/LtZITJ044OjoOHDjQ1tbW1dW1ZcuWrVq1sre3Fzep61u0YgUjYo6OmSO//MKI2I8/yrcmlpqa2qRJEyJycnLK5Q4Y9UC8q6uro6OjjY0NbxeRI23L31IqlTx56/jx4xJNofexfwvZlSlT5ocffihWrNiwYcP69etXtWpV/qaVpZyQ5vGAO98gxl27di3LiCalpKQEBwfr6uoKbTQAPqZkyZJbt27t1KnTzJkzW7RowV9SmzVrNmvWrDlz5kyfPv3SpUtyr1HbGRrS4sU0ciRdvSr3Uj5uyZIlx44d27p165kzZ4RUzTxKSUkhosePH/Me0Z9Qf/fuFMY+fZ9JFSsS0dbwcH6zW/HiFiKtM7+IUiqFhz+odOmhISFxSuWnf8Rg797rvr6fuMPbt2+JaN26dXv37hVrna9evSKi6dOn85IC2qZXr17Lly+/cOHCjh07eKN1UCfv+Ul2sbGxjx49MjIy4m02ZaSvr+/u7r5ixYpz585VqlQpOTmZiHR1ddu0adO3b9+ePXvyJG7RDR5MgwdLcWCNqlq16qVLl0JCQngf2qpVqxJRSEiIjOv5559/QkJChMKy0rl6lfbvJ1NTmjZN6qm0wurVq5OTkwcMGMCbpnLr1q2bN2/erFmzNLyYqVOnPnv2bJraP33dunUHDx68cePGpk2b8oSSjylTxvbVK/9PH79pUzI0JGtrGjKEJk2ibdvEWbYUWremhw9p8WKaPp2IKCyMevb8zI/Y2r4JDW39se+am5ufOnVq+vTprq6uxYoV46W3Fi9eLFyGzO8mTZq0du1aPz+/uXPnVq5cWTOT3rx5k4jq1Kmjmemy8/Dw2L59+8aNG3klmXfv3j179szY2Fhj/wLwpWJiYubOnbtq1aq0tDR9fX3GWNu2bVu0aCHXesLDw0+cONG/f/979+4pFApdXV0bG5vHjx/zsyb4eoMG0YwZdPIkhYRQ1apERMOH07x5tH8/vXhB5crJsqjx48dfuHChYsWKW7du5Xmon2VhYWFvb8/7oAoSExMfPXr0+PFj9b8fP36ckJDAqxlrD11d3eHDh8+YMWPt2rXt2rWTYgptDHCkp6dfuHDhzz//DAgIiI2NJaKdO3cWK1asTZs2ycnJfI+DjLIE3JVKZVBQkEKh4Gnmmnf79u20tLQaNWoUmFMikFSHDh0mTpy4bdu2hIQEYbBp06YKhQKnX7nUrRtt2EDLl8u9jvdu3LhRrFgxS0tLYaR8+fLm5uY6Ojr3798XcSJ9ff2UlBSe6v4JRVNSklSqT98nOT2diAzfXwD/6HXwgktH7eET0ZPk5JjPBdyLREd/9h/f2Nj47du3PPIuCl5CLctVltTU1H/++UcDsa0skpOTAwMD1c+HFAqFlZVVUFAQ33sLWWRPEZDX9evXGWO1a9cW60LgV1u7du3u3buXLVsWGBiYmpr68OHDGjVqjBo1iqfuwqfxxgBChL1EiRJFixaNiop68+ZNyZIl5VqPuO93HzNzJjFGY8fSJ6O7BUflypUNDQ0rVaqUZdDHx0fzizE1Nc0+b+XKlfX19aOioqKioj7xs8nJ7NGjzxy/bNmMuMf06VSjBp0+nafVSm3pUrK3p379iIhSU+lzZwdkaKj32VOIzZs3b9y4sXfv3uHh4U2bNuUVwAqG8uXLDxw4cOPGjYsWLVq/fr1mJpU94H7jxg0iEnLybt68yRirVasWL8wNWoUxtn379ilTprx+/VpHR8fFxWX48OFt2rRZvXr10KFD5Uqs5KnKKpVKOG0TRmRZT8Fhbk79+pG3N61bR8uWERGVLk09epCvL23YQHPmaH5Fvr6+a9asMTQ03Lt3b7FixfJyKBMTk5o1a/KucoJff/119uzZmzZt6tixozB4+vTpkJAQXi9ELsOHD//ll1/8/f2fPn3K9wCJS4sC7iqV6uzZs7t27dq9e3dERAQf/O6777p16/b3339funTp3bt3fn5+8i6S3n985X1TiSg4ODg5Obly5cqFCxeWcT3a83EatN/8+fMnTZokpAJFRETw3T08SQ1yY8UKatqUunUjOWILH1AqlS4uLo8ePTp27BhPNiQiT0/PqKioWrVqnTp16hO7ur7Io0ePunbtam1tffDgwU/f09jamj53Vbywvj4R9ZX9n08+RfT01B/+5qpV0z+3LSBt/HjlsGGfuMPatWtXr149cuRI3v1MFD4+PosWLXJ3d+/UqRMve5WWlmZvb3/37t3Lly8Lb4WasXTp0hkzZkyYMGHp0qV8JDg4eM+ePSqVSoozpAJA284QtGc9PPff0dFx/PjxaWlp/ALSmzdvEHDPDX62oB7grly5Ms95lyXgrrEU+3Pn6OhRKlyYJk2SeiptUb58+ZSUFC8vr1GjRpUoUULu5WQVHR29aNGitLQ0Ly8vR0fHT9xTR8foswEiMzNatIiIyMSEli+n8eNJ7iyvT7G0pMmTafJkIqIKFSgo6DP319ExUqk+c6fhw4dfuHDh9evX9evXX7lyZS4zHPOLqVOnbt26devWrTNnztTMRXoe75Zrd35KSsq9e/d0dXWFsJfsFwDgY65everm5nb+/Hkiatiw4cqVK/mmIldX1zVr1owfP54XeNS87OF1BNxFM2oUeXvT1q00bx6ZmmaM+PrShg2qGTN09PU1uZb79+8LVbKzpKuLZfjw4fPmzdu/f/+LFy+E1jtt2rQxMjJydna2sLCQYtLcKFGixA8//LBz586NGzf++uuv4k8gUamaLxIUFOTh4WFjYyOsqnr16h4eHkI9vuTk5H79+hGRnp6evK1B09PTzc3Niejt27d8ZOvWrUTUq1cvuZb0888/E9GSJUvkWkD+9Q3WcM9OpVLx/jnNmzdHq/HP2rKFDRyY8fXcuczQUP4a7itXriQiGxub5PdN/XJsLJZ3qOEuonxUwz0lJYUHs7y8vITBSZMmEVHTpk1zWeBPFM+fP+f9mtSr7PEs+9GjR2tsGflISkqKgYGBrq5ufHy83GvJMHDgQCJat26dvMuIiYlRKBRGRkap79s1e3p6EtG4ceNkXVe+wWs8qr8d8N+sXO2LHz58SEQVKlSQeqJWrRgRmzNH6nm0S6dOnYho5MiRci8kB25ubkTUunVrsQ44ejRbsSLj6y5dmKGhltZwP3aMMcZSU1mNGszQMK813AU3btzQ1dXV09MLCgoS54hapm/fvkS0fPZszUzHL0BmqaKuMfy6svoL9ZAhQ4ho1apVsqwHchQREeHm5saj2GXLlvXx8VE/tY6KiuLVHfbs2SPL8ni2q7OzszDCPxSI1TbjW+fgwIgy+3QzdqdXr+6VKvn5+WlyFfHx8dWrVyfpu1zwejIeHh7CCM92X7p0qaTzfhbvRVS6dGkpAnFy7uO/e5dmz6a2bYNq1qw5d+7cR48eWVtbT5s27ebNm3fu3JkzZ46Qb2toaLhjxw4PDw+lUvnzzz+PGzdOrqtqDx8+jIuLs7S0FCrbyJ6ulSXjHuCLrFixwt/f38LCYseOHdhg+EXc3cnKSuY1REdH8xjrkiVLDA0N+eCkSZMSExP79u0rtJUH+GoGBgaLFy8morlz5wqbz2bPnl2mTJnz58/7frKmvLimTZsWHx//ww8/CCVl/P39jx07ZmFhMUeOrZfaLygoKDU1tUqVKqY8cUYLaMkZi1DZRv99ApHs53L5S6VKlXR0dEJDQ9PS0vhI9px3TbKysjI0NAwLC1OvlSe648fp33+pWDGaMEG6SbTR0qVL9fX1N2zYwNNjtUdwcPDatWt1dXW9vLykOP6qVSR37avP0NentWspNVW0A9apU2fo0KFKpXJCAX2Wz5k27Vzt2m6LF5N4lfc+5tWrV2/evClSpIh6yUdNyp7Pjgx3raJUKpcvX25ra7tixQpdXV03N7fg4OCBAweq7yyxsLD45ZdfiGjChAmSvsF9DDLcpTVqFBHR6tXCwL8tW+5/+HDt2rWaXMXcubeCg+/VqFFjw4YNkk7EE4XXr18vnD3ykTVr1sj7jGrWrFn9+vXDw8P/+usv8Y8uegj/s549Y15eGZdz+J/Gjdu6ublduHDhs7lymzZt4p+Ofvzxx8TERM0sWN2uXbuIqFu3bsII72Jx9OhRzS+GMaZUKk1NTRUKRVRUlCwLyNeQ4X779m1jY2Mi2rdvn8YmzddSUph6qmhMDFu8mJ0//8F9nj9nO3dqaD28ckibNm2EkbNnzyoUCmNj4ydPnog7l7gZ7oyxBJn+o2mDdMaSJHj4UmS4czwB4eeffxZG+DlZ+fLlNZM9feHCBYVCYWho+ODBAz6SkpLCCzcvX75cAwvIjzZu3EhE/fv3l3shGZKSkvT19XV1dRMSEuRdybJly4hoxIgRwghvYcLr20Ju8CJO9+/f5zd3795NRF27dpVrPTw568aNGxIdX6VS9eu3rUKF1N9/l2gGrTZu3DgSNZFcFNnfmPIuIYG93y7IGGPPn7MpU9ibNyLOkFc+PszXl73fnMMYY9HRTMQdqjxGTESHDh0S7aBapUsXRsRmzJB6nsOHDxNRq1atpJ7oY8aPH09E8+fP5zfT0tKMjIwUCsW7d+/kWhIITp06JZT6cXR0vHv37sfumZ6e/t1339GHecEaw+OPPXr0EEZ4V6eCuglG05KTn7Vr51anzvn30YS4uLhChQoR0e3btzWzhDVrGBFr0eJFcHCwBqbj3QiEFP709HQrKysiOsb3bcln3bp1RNSiRQvRj/xlAfdNm5j6btFt29iaNR/cYdo0NmlS5s2BA9njxxlfR0Qwb2/m4MAUiow4e5EizMWF+fuztLQvWMPx48d5tfQmTZq80fgZkLu7OxHNUdtNyk9KwsPDNbwS7s6dO0RkbW0ty+z53TcecI+Pj7ezsyNUY8iDpUsZEfvuOyY8ZSIjWaFCTF+faeA9686dOzx6devWLT4inJPNnTtX9OlED7iD6KQLuN+9e5c/2YR4Vnp6eoMGDTTzAUClUjVq1IiIZqh9Qv7999+JyM7OLlU98ABqRo8eTUSLFy+WeyEZ/vvvPyKqWbOm3AvJWtkmLi5OR0fH0NAQz6Xca9++PREdPHiQ3+RFZqpWrSrXerp3705Evr6+Eh3/wIEDRFS+vHVCwrdYfE/2sgbZ+fv7E5GFhYVQ5FMKffsyIqZ2bU5mr1+zwoUZUdZUD3EtWbKEiCpVqpSsfvGhwLh4kRGxQoVYdLSk8yxYsIBkrVTWqlUrIjp8+DC/GRQUREQ2NjZyrQe4sLAwFxcXHmqvVKmS8Db6CUI21aNHjzSwQnX79+/PkmzKA6bCZ0/Io+nTpxPRgAEDhJFRo0YR0ZgxYzQw+3//MUNDRsS2b9fAbIwxtnr16izX7+fPn09E3bt319AKGGOMnT59Oku+clxcnJmZmYGBQVhYmLhzfVlJmdBQevgw8+ajR5Rl8+j167R2LR07lnHz/Hl69Yo2bqS2balUKRoxgs6dI1NT6t+fDh6k169p2zbq0uXL9uu1a9fu33//LVeu3IULF5o3b/7o0asvegh5lH3T8ZMnTwIDA0uVKqXJZWRZj+y7syE/GjduXHBwcI0aNRbxFlHw5UaOpAoV6MoV8vHJGClalPr2pbQ0GjtW8tknTpyYlpb2888/C53rN27ceOXKFUtLy0nfTkM30Ag7O7tRo0alp6cL28x1dHS8vLwUCsXChQufPn0q6ezbt2+/dOlS6dKlp0yZwkfevHnDz894rQNJZ8+/tK1MivacsWRZyY0bN1QqVa1atfBcyr0sNWQqV66sq6v76NEjYZuwLOuRqG8qY2z27NlE5O4+0cTkWyy+J5Q1mDx5cnJystzLodTUVH6e4+HhUVzKxqazZ5O+Pm3YQFevSjfJF5g5k2JiqHNnatJEwlnGjh1btWrVhw8frlYrdFBwNGpEbdpQbCxJXLRB9vott2/fVl+A7OuBpKSk33//3c7Obvv27SYmJh4eHkFBQU5OTp/9QQcHh759+yYlJU3mXZI1CCVlpDZixAhdXV0/P783b97wkTFjxigUCh8fn9jYWEmnjo6m3r0pJYXc3GjAAEmnyjRw4MBChQr9888/Qe87fQ8fPtzIyOjgwYNSf5wU3L9/v0uXLvb29sK/ORHdvXs3JSWlYcOGvPeGiMSv4T5+PI0ZQ0lJGTdv36bhw+nUKdLTIycn8vGhV69oxw5yciIDg6+com7duv/991/9+vWNjTs5OJQODBRr7Z+X/eNr4cKFmzVrprkVfG49ALmxZ8+eTZs2GRkZ7dy5k1eVga9gbEzz5xMRTZtGMTEZg/PnU9GidOIEHTok4dQHDhzg1as9PDz4SFxcHP968eLFJiYmEs4N3yQe1/jnn3+E8nZNmzbt1atXUlLStGnTpJs3Pj6eH3/hwoV8lyURTZs2LSYmpmvXrrykAGSnUql40nHdunXlXksGLTljSU5Ovnfvnp6enrCbm3eWk31h+Qsv6CQEuI2MjCwtLdPS0p48eaKB2bPPImkReV9f35s3b1aoUGH48OFSHD9fcHV1rVOnzuPHj5cuXSr3WmjFihX379/nV4IlnahaNRo9mlQqGj+eGJN0qs+7cYM2byZ9fVqyRNqJ9PX1V65cSURz584NDw+XdjJZTJ9ORLR0KUlZFFveAHdYWFhkZGSxYsXKli2rDeuBgwcPVq9eferUqfHx8U5OTsHBwXPmzBH6b33WkiVLChUqtHfv3mNCZqtGIOAutQoVKnTu3Dk1NXXz5s18xM7OrkWLFnFxcTt37pRuXsZo8GB6/JgaNiRN5l6amZkNGDCAiLy9vflI8eLFf/jhh/T0dKkryHNJSUl9+vSJjY1Vj61HR0f36dMnLS3tu+++M/jqIPVHfHHA/coV8vLK+HPxYg53aNKEGjfOCEIRUaNG5OxMW7bQ69d08CANHEhmZnlbMhERlS1b9t9//7WxWRgerujQgfbuFeGYn/bkyZPp06e/ffvWzMysXLlyks+XO/iUCF/hyRNaseIuEXl5edWuXVvu5eRv/fpR8+b0+jUtWJAxUrQozZxJRDR+PKWkSDJpamoqT/WdO3eukNvFPxc1bdrU2dlZklnh2yZkOE6aNEnIcFy8eLGpqemff/555swZieZdsGDBy5cv7e3t+/fvz0euX7++detWAwMD7M75hIcPH8bHxxcvXtzCwkLutWTQkjOW27dvp6Wl2dnZCRebteRKQP6SPcCdJQQvHV9f35o1ay75MOgo3ezp6em8Wtfs2bNzHxwpeHR1dXnzg99++y0sLEzGlbx582bevHmkqR1OHh5UogSdPauJD5ufNn48paeTmxtVrSr5XO3atevUqVNsbGzB7Eneti01bUoREbRpk0QzJCUlPXjwQE9Pj7eX0LwbN27Qh+9rCLjLJSQkpGPHjl27dn3y5EndunXPnDlz8ODBChUqfNFBSpcuPXXqVCKaMGGCJneSIeCuAfzK8dq1a9PT0/kIbyW6atUqJtmV3vnz6cABKlqUfH2/Pg3664wePTpLCj//F1i/fn2KRKETNaNGjbp+/XqVKlXWr1/PR1QqVf/+/R8/ftyoUSNesFRkX1SAZvp01rYtW7o040/Hjmz8+A/u0LEj+/tv9uoVK1mShYSwSpWYpOX+lUo2ahQjYgoFk6iKbEREhLe3t4ODA6/ubWpqSkTdu3eXveUXY0ylUhUtWpSIXr58Kfda8qXsNdybN2/u4ODw2ea9EtFMDfe0NNakCdPRYePGXZJ0om/H1atMR4cZGLCQkIyRtDRWowYjYkuWSDKjp6cnfVi9+sGDB4aGhjo6OpcvX5ZkStRwzw+kq+HOKZVKfonut99+Ewb5vop69epJ0f3i0aNHvMdXYGCgMMh7lU+ePFn06QoYno3bt29fbajDq1QqTUxMFApFtMRlcz+L59QMHDhQGOEBiIsXL8q4qnyH7/wtU6aMMDJ27FiSuGeAUqmcMmUKPyEfOnSo+rdCQ0OJSF9ff9CgQQsXLjx06NCjR49EOZ3jSWeVK1dO+6KWUwVUz549s/z30bxhw4YRkZOTk8ZmXLuWETFLSybjhz9fX0bESpaUuvB4pgcPHhgYGOjo6Fy5ckVDU2rSgQOMiJUvz6T52CV7z5Jff/2ViP73v/8JI7z+7WOhvR5ILzo62t3dnSfMFi1a1MvLS5mHBscpKSn80vKyZcvEW+NnBJ08ubRJk23DhgkjO/r33968+bMC+bIgE5VKxX+zQkH/1NRUnuB75swZKWb85x+mq8t0dNj7Fg+a1rJlSyJau3atMMLLPO7cuVPSeflHAFNTU/WuvzyfrGjRohK9PH5xwN3dPfPmnDk5B9wZYytXMicnyQPunJcX09FhRGzYMCZWv6uoqKiNGze2bdtWVzejVqOpqWm/fv0WLlzI80kbNGggV6NUwePHj4moVKlS8i4j/8oecNeYgICAgICALIOaCbhPn55xhhkRIek835bBgxkRU+sowwICMnoyvXol8lzh4eG8cfTRo0eFwc6dOxPR8OHDRZ5MDQLu2k/qgDtj7NSpU0RkZmb24sULPpKYmFixYkUi2rhxo+jTZQ/u8P2VJUuWfPfunejTFTABAQEyNpnPgtdqtLW1lXcZjDH/WbO62NqueP95NSUlxcDAQFdXVxsSKfIRlUrFa5fFxMTwkVWrVhGRq6urRDNGRkbyTq16enqenp7q37p7926VKlUUCgXPvBMYGBhUr17d2dnZw8PDz88vKCjoS4MdqampNjY2RPTHH3+I+mjyqxwvgmrStWvXdHV1DQwM7t27p7FJlUpWpw4jYvPmaWzODyQmMisrRsTWr9fovLxri4ypSBJSqVitWoyISXDqwhjjtRH69+8vxcFz48cffySibdu28ZuvX78mokKFChXAX6VWUqlUPj4+/CKHjo6Oi4uLKKdhBw8e5L9HzWVbHj/OiFi7dpkjjRoxIoYcBVEtXryYiDp16iSM8M4xffv2FX2u8HBWpgwjYrNni37s3Nq1axcR1ahRQxjhofDmzZtLN+nNmzf53lYfHx9h8NSpU7q6ujo6OkeOHJFoXhEC7gkJ7MwZxoPPQsBdqWT16zMDA00E3Blje/YwY2NGxNq3Z+/P/L9GYmKiv7+/s7OzULvH0NDQycnJx8cnLi6O3+fBgweVK1cmIisrqzt37ojzAL7K3r17s/zPhC8iS8D96dOnvDW5tbV1UlKS+rc0EHD/99+M65mnTkk3ybcoPJwVLsyImFoMnHXpomrR4va4cXPEnWvw4MH0Yb/4gIAAIjI3N38lenRfzcOXL3suWzbc21u6KSCPNhw71nPZsnXqz0IJaCwIzoP7JiYmz5494yOSBvcLpNu3b/Nty7a2tpqMT2W3bds2Ivrxxx9lXEOGhg0ZEfv3X37rxfXrLnZ2jerUkXVN+RLf7yJsqzp+/DgRtWzZUoq5bt68yQPfxYsXP3nypPq3Dh48yC8s1a5de9euXevWrRs7dmzbtm3LlCmTfV+vsbFx/fr1BwwYsGDBgv379z948ODTIXh+FaFGjRpS7ODJp6ZPn05E9vb2svyb8B1OkyZN0vC8p04xImZiwp4+1fDMjDE2dy4jYnXrsjxkx36NmJiY0qVLE5Gfn59GJ9aMP/5gRMzWlkmweWXMmDFEtHDhwizjGvtfw4MVN2/e5Dd54W9Jg1kgePv27XfffcffdFq0aCH8FkTBU6yGDBki4jE/5cQJRsTats0cadKEEbHz5zW0gG9DdHQ03wZ6//59PvLixQt9fX19fX0hw0kUaWmsRQtGxFq31vQbirrU1FTeXkK4eJ+QkMBrYIr7/0UQHR1ta2tLRD///LMw+OrVK36u6CFRsRTGmCgB9z59mI8Pa9eOvXqVGXBnjP33H9PR0VDAnTF24QIrWZIRsVq12PvP5rmVnMz272e9ezNHx4zOb7q6uu3bt9+8eXOOe58jIiJ4o1Rzc3PpLoZ81syZM4lo+vTpci0gv9NwwD02Ntbd3Z0XADU3N1+wYEGW2LrUAfeoKFahAiOSqv7SN87TkxExO7vMfTb37t3X19fX1dW9fv26WLNcu3ZNR0fHwMAg5H39mrS0tBo1aki9kZ8x9igpyf7KlR/UdmCBtln/8qX9lStrRT0zy07IcFQvwdG8eXMimjJlilizKJVKXuhDY+VrCipeAZ9vlpRoa2pu8ExJ9d+mPJRKZmLCFIrMugwbNjAiNmCAnKvKn3i/kB07dvCbb968WbFixenTp0WfaNeuXbyiY7169Z48eSKMq1QqT09PntXep0+f+Pj4LD8YHR195coVHx8fd3d3JycnGxsbXo5Gnb6+vnoW/JUrV4QSTElJSeXLlyeiffv2IS1UEBcXxz8nC8mzGsNz4uTa4fTDD4yIubhoet7nz5mpqfpVQo1at24dEVlaWhbAPUBKJatUiRGxD6/hiYKfFB07dkx9MDAwsGbNmkJATTrx8fH8w4LwoZIXJh47dqzUUwNjTKVStWjRomzZsj4+PqK/dzx8+JAXEdVQHTx+sbF168wRBwdGxM6e1cTs35IhQ4aQWsHM48eP9+jRY+TIkeLuZkhNZW5urHx59vq1iEf9GrNmzcqSwu/m5kZEI0eOFH0ulUrF08Xq1KmTmJjIB9PS0vgLdZs2bfJS6+mzvizgrlR+cCVE/easWfL/vwsNZdWqMSJWtiy7du3z91cq2bFjbPBgVqQII2JErGrVm82aNVu1atXrzz0Hk5OT+/Tpw3e2ekuc8pmQkLBr1669e/dmGedXOHfv3i3p7AXYqlWrSpYsWbly5dsSXxfi28p4kohCoXB2dn724UWh9PR0Hx8fExMTAwODzp07e3t7i779X6Vi3boxItasmZzXMwuw5GRma8uI2Jo1mZdMJk6cKOJuXJVKlT2syZuY2draSl2mGQF37aeZgDtjbNq0aUTUuHFj4Ymd/VJQHq1ZsybLTqCwsDAedJMiolewxcXFOTk58U17UpdH/JhWrVoR0WG5qkUKbt/OSGkU8F5AEjXcKNB42sdsKfckK5VKd3d3HiUfMGCA8DGJMRYTE9O9e3eeIpOlwswnREdHnzt3bsOGDRMmTGjfvr2lpWX2LHhDQ8M6der06dOnQ4cO/OPZ6NGje/ToIc1DzJd8fHyIqHTp0jF52Vb8hRITE62srIhow4YNGptU3aNHzMiIKRTs0iWNdsUYNCiRiMm1Oyg9PZ1fsv3111/lWYGkAgIYL0UdHs7ycBatUqlevHgRGBjo4+Pj4eHh4uLCk6iefrghonXr1vyK0XmJs4PPnz9PRHXr1hVG+vXrh92BmvT06dPs14DF4u7urrltRv/+y4iY+t615s0ZEZMvgaOgunbtGhFZWFgcPXqUJzRwFhYW9vb2zs7O7u7u3t7eAQEBoaGhuf/Vjx//QS2yPn1YfDzr1u2DQty9ejG10ysN4Sn8BgYGQpnu+/fvKxQKMzMz0a+p8yuOFhYWoaGhwiCP0pQvX17qqptfFnD/mMhI1qlTXt6nRBMRwZo1Y0Tsp5+Yo2Nmun1wMFOvKnnlCnNzY6VLZ8TZiVj16szDgz18+AVzqVQqnm1HRG5ubqJfwFQqlQEBAS4uLubm5kRUq1atLHfgCSbqzxv4Ujx8qa+vP2HCBIk6uf33339NmjThz5MGDRpkP8c6ffq00EReyL0yMDDo2LHjhg0b3r59K8oyli9nRKxIEaaWHAYiO3BA2arV0dKlK0ZGRvIRYTeur69v3o//xx9/ZMntioyMLFasGKl1WZEOAu7aT2MB9xwzHHlqRteuXfN+/KioKN4uZc+ePcIgv8jdp0+fvB//G6RUKkePHs3fZSTdOJkjlUrFN4pKWvYqV7ZtY1liV40bMyLUWfsKvExQ7969JTp+REREu3btKKei7ffu3bOzsyOiYsWKHT9+PC+zxMTECFnwzs7O1atXVy8EX6VKFV9fX34ejra6ApVK1ahRIyKaMWOGxiadM2cOjyFKmon2ab/+Gte06crGjZtobMfD+fPnixcv2abNZhlbXQYGBioUChMTk6ey1NOR2qpVzNKSNWjAbG1Zy5afrxkUH89u3bp26NDSpUvHjh3buXNnOzs7IyOjLNftdHV1FQpFkyZN1HP41C9+b9++XbrHtHbtWiL66aefhBG+F1aoAAb5WlxcHO+ouWXLFsknO3OGETH1YkQtW8q246aga9asWbdu3Xjp/0qVKllZWenp6WVPCyAiY2PjTp36OjmxsWPZ0qVs/3528yZ7XwD7A9WqscKF2YMHGTf19FhUFCP6IMJOxGRpjMWzzuepdUdp27YtEa1cuVLEWc6fP6+vr69QKPbt2ycMHjhwQKFQ6Ovrn5U+Z1yEgPuzZ6x37y8LVUsqKYn9+it7+ZIZGDBb24xn3sWLrE4dduMGmzw5o6oG/1OtGpszh+WlrumGDRv4/4RevXplKcn9dZRK5YkTJ4YOHco/nfKPx02aNFm+fLn6KSaan4giMjLSzc2Nt8bNe/fwLJ4/f+7i4sJj6DluKwsLCxPuUL58eR8fn7dv3/r4+Dg5OfHMCH7G5uDg4OXllZcCXrdvZzQ52LUrz48KPoknxI0ZM0YY4T1A8r4bV6hevWnTJmFw5MiRROTo6JiXI+cSAu7aT2MBd8bY1q1bs2Q4vn79Ons7368zbtw4ImqttoP13LlzCoXC2Nj4Ca4Z5oGXlxcPJg4dOjRVrC7zuRAaGkpEZcqU0diMHzVhAiNiQmUbpZKZmjKFgr2/Sgq5d+nSpSxJlCK6ceOGtbU1EZUoUeLUh5dD/P39+UtNnTp1Hj16JPrUsbGxhw4d+vnnn6dNm8bPCadOnUpE33//vehz5V8XLlxQKBSGhoYPhM/xUhJ2OP0ra5QnISGB74pQb7kmnfT09IYNG5LEvdBzg3fgHFDwSm8dP87Kls2IYqhUbOpU1rBh5nejotiVK8zPj3l6MldX5ujIbGyYQsGIDrZqlSX+VbJkyUaNGvXt23fGjBmbNm3asmULP2m3trZWb/mmVCrHjh0rXPyW6FM8/3SwdOlSfjM5OZmXuCyAdYG+VTt27CDN1Nc6e5YRMQeHzJHWrZGmIJGUlBRHR0ciatWqFT/9SE1NDQ0NDQwM9PPz8/T0dHV1dXR05PXxmjbtK4Q0hT8lSrCGDVmfPmzaNLZ+Pbt9m1WrxiZOZO3bZ0yhVQF33oXO0tIy7X0jjT179hCRnZ2dWK+N4eHhPEVMvQr3gwcP+Gmkl5eXKLN8Wl4D7vHxrEoV9uOPzNVVu3onREQwCws2bhybOJGx9wH3QYMynovlyzM3N/a+Rn9eHT16tFChQkTk4OCQl3zkoKAgd3d39S5P1atX9/DwyPFc9siRI/x/Yx4WDhnu3r3L46T8f3jeo0WJiYmenp48JcrY2Njd3T02Nlb9DgkJCZ6enmZmZkRkYmLi7u4e9+FFyYiIiE2bNn3//fe85jsR6ejoNGvWbMOG/740vyQhgdnZMSKm1iICpHLnzh1+Unvr1i0+IuzG/eWXX/Jy5OzVq4OCgvT09PT09KSuicQh4K79NBlwzzHDkW/Zs7Ozy0swNzg4mP8nunHjBh9JT09v0KABSdzT5huxd+9eY2NjImrXrp3GykHwE+jOnTtrZrpPadWKETGh+87du4yIWVvLuqb86t27dzxV89SpU+KGjf78808TExMiql+//seKtvft21ei4NGbN29MTEyMjIzCwsL4SEREBJLcs3NxcSGiH374QQNz9e3bl6TcTpF7vJxOqVKlNPD6uXnzZiIqV66cdLUpcunZs2e8oV+gWB+etcTgwUy9VE5SEitUiF27xqpUYQYGWUNZ/I+hIatWLejnn8eMGbN06dJ9+/bdvHkzLqfM0rdv3wot3w4dOqT+LW9vb56u17t3b1HS9bLgW6uF/tJXr17l52aiTwRy4WXiiWgiD3VJ5/x5RsSaNMkcaduWEbETJ6Sd95vEr+6XKlXqs3XbY2Njb90K37ePLV3KxoxhnTszOztmZJT15Wr2bFatGrt1i9nbZ6RdCgH3TZvYtm0Zf+QKuKtUqmrVqhGRkHuelpbGe+ecEuOKTnp6Ot8o2apVKyGmn5SUVL9+fSLq1q2bZhKXxSkpo4V4wD0qipUpw65fzwi4nz7NxoxhZ88y0f9tb968yVMeKlWq9KW9UIKCgjw8PCpVqiTE2StWrOjm5nbtI3XolUrl8ePHefPr8ePHi7F8YIwxf39/Gxsb/itwcnL66lo9/v7+PC2LHydL+pVKpfLz8+NZD/wOn07YTEhI8Pf3d3Fx4dH5unWjhQpIwcG5Ws/Tp6xuXVajhgzFub5NY8aMIaI2bdoII//++y8RmZmZRUVFffVhDxw4YGtrq/5Rh7+FjBs3Li+rzT0E3LWfJgPuLKcMx+Tk5Jo1a86YMSMvHyCfPHnSvXv3ESNGCCMbN27k24BkDzoUDBcvXixZsiQR1apVS+oSAWlpaYcPH+b9bzVZfSJnKhWzsGBETKhss2MHI2I9e8q6rHxs+/btvJZCpUqVPDw88v504kXb+QlS9qLt3bp1oy8s2v51evfunWWzGm9c0alTJ0nnzV+eP3/OT02zV/WJj493+1rZCzyeP3+e73B6LGNdlfdUKpWDg0OWdDkpxMbG8hwsoS+xvGbMmEEaKxutMS1bMj+/D0bq1mVHjzJzc0bELCyYvT1zdmbu7szbmwUEsNDQL2qElZyczIun6+nprVq1Sv1bQrpe06ZNRa8gPHjw4CpVqghZgJs2baIPmxNCAXDt2jVdXV3J864uXmRErFGjzJF27RgRy1sxN8ju4MGDCoVCT08vL62qXrxgZ8+y7dvZ3Lls0CB25AirVo0FBbFLl1i5ciwmJjPg7u7OZszI+CNXwJ0x5uXlRUTthQx8xubOnUtEzs7OeT84P3MrVaqUeqEIXgG1cuXKGuu+XsAD7oyxLVtYkybswgVWp460M7548aJu3bpEVKxYsdwUA3ry5ImXl5dQvJunMLi5uQUGBn7sYsuVK1fc3Nx4SWgiGjJkCDbXiyslJcXLy4vnMRkYGLi5uWXJTP+0a9eu8avNPBM5+8vllStXeLIDz9v6ojyR+Ph4P7/dffuqzMwyr1vWqcN++YWpbVVkjLElSzK7FzDGpk9n7959viYhiCUqKorXVd+/f78wOHv27HPnzuXxyMK1WfY+Y7Ro0aIRERF5PGwuIeCu/TQccGeMDRgwgIh+VKuIrf4szQvhOELQQa5unwVSaGgoTyopW7bs1atXRT9+enp6YGCgm5sbr0RJRKNGjRLyhWUTGsqImHplm//9jxGxAtkMUCOioqLmzJlToUIF/lvW19fv3r3733///XXV+SIiIvhm6hyLtvNnbLFixQICAkRa/kfduXNHR0fH0NAQSe6f9uuvvxJRjRo1srzyv3nzhr7Ws2fP1A8llFWRtD3vF7ly5QpvEv6lKVZfhF95atJEc/XiPy0hIYH/T9+6davcaxHP99+zLA+ncmV29ix78ECsNKUsLd/UL1fcunWL/5Pa2toG5zKL6qu4ubkRkdTXKUHzRowYQURt27aVcI7//mNErEGDzJEOHRgRy3M9AFD35MkTHj1YtGiRuEfmAXfG2IgRzN1du0rKMMbevXtnamqqUChCQkL4yMuXLwcOHJj3c62///5bR0cnywUMXovJyMjoY5nNUij4AXeVijVrxsaOlTzgzhiLi4v7/vvv+W9x18erZfv6+vISE1yJEiV+/vnnM2fOfCxl4Nq1a5MnTxY+zxBR1apVPTw8hOcliOvFixeurq58z3LZsmW9vb0/m83x9u3b4cOH8x8pWbLk+vXrs/zIy5cvXV1debH44sWL56VYfFIS8/dnrq6sRInMyLuNTUaVJJWK2dmxYsXY+4bPTF+ffclVAxDBihUriMjGxiZZml7SycnJfE/MmjVrpDh+jhBw136aD7h/IsNRLJMnT9aqoEOBERkZ2bJlSyIyMzP7W/0ibd78999/EydO5O28uBo1avz6669a0eB9zx5GxNQr27Rpw4iYeA//25Senh4QEODs7GxgYMB/6WXKlHF3d/+iX3pMTIyVlRURlS5dOkvayoEDB3gqaN26daUo2p6j7Enu06dPJyS5f0g4G1m7dq36eGJiotfXylKdgyfnakNZFXUDBw4kop6SbY4JDQ01NDTU0dG5dOmSRFN8Bd4nWTPldDRkyhQ2dGjmzadPmbGxFC09tmzZwl8ee/TooV4L6+XLl3zPuoWFhSglFHLE3+uPCLXUoKCIjIzkUdq//vpLqjkuX2ZEzN4+c6RjR0bEDh+WasZvT3JyMo8NdunSRfQPO0LAPTKSWVoyhUK7Au6MseHDhxPRhAkTRDzm06dP+X+N33//XRi8desWL1eoiW7Dagp+wJ0xdusWMzbWRMCdMZaWlsYblfBeKDneZ9WqVURUuHBhFxcXf3//j9W6ffz4saenJ8/o4cqXL89T4CV8APDe5cuXmzZtyv/lv/vuu0+nJz9//tzU1FRfX9/NzS3L/pTU1FQvLy/+WZHfQazz1JQUduQIGzaMFS+eGXkfNozZ2bGffmL9+2fcDQF3zVMqlbVq1ZIunWTevHmUU06ZpBBw136aD7izj2c4iuLhw4c86PDff/+JfnBITk7mexR0dXVXr16dl0PduXPHw8OjSpUqwhlLhQoVtO6Mhe+bnTkzc6RoUUbEPlcrE3IpKirK29ubv/0RkY6OjqOjo4+PT2LuckXd3d3t7e3V69Lwou28t7x0Rdtz9Ikk99xsY/127N69myTbbyfscPrjjz9EP3hehIeH8xN7iS428+pJgwcPluLgX02lUvF9utOmTZN7LSJ5+pSVLMlWrGDPn7Nr15iDA5OsTuPZs2eLFy9ORHXq1FHfxhEfH9+9e3ci0tPTy3LhSiwWFhZE9Nmq0JAf8bBShQoVpHp/vHqVEbH69TNHvv+eEbEP2xJAXvCdChUrVoyU4GqfEHBnjG3axIi0LuB+48YNIipSpIiIl9Xbt29PRF27dhUuYMTGxvKw6vDhw8WaJZe+iYA7Y2ziRA0F3DkvLy+e7Dx8+PDsMYi3b9/+9ddfHytxGxYW5uXlxesDckWLFnVxcQkICEB+n4bxeut8b4FCoXB2dv5EfdJdu3Zl33Pg7+9va2vLf49OTk4PHz6UYp1KJQsMZG5urGxZtm0bs7NjV6+ySpUy2pkg4C6LkydPEpG5ubnoJ7hSf8z7GATctZ8sAfekpCTetWLdunWiH7xLly5ENFQ9AQ1E9Ynd7rnx9OnTLGcsxYoVc3V1/URxPDmNHMn09NiePRk3Hz9mRKxkSVnXVDBduXLF1dXV1NSUPyuKFCni6up68+bNT/+UUqlU3xYWExPTtWtXyqnCjGbwJPfRo0cLIzzJvWPHjppfjDbjHWWkaCs1ZcoUrd3h9Ntvv0l0sZmfQJqZmWlhhFQz5XQ0KiSEjRjBmjZlXbqwVauYlBXqHzx4ULVqVcpWzC2Pb8Sf9uTJEyIqUaKEiMcE7aFUKnmbnJUrV0o0AYuKYjExLDKSXbzInj9ncXHoCyeinTt3EpGRkZEUBR4ZY8+esZSUjK9VKhYaytLTWZZPii9fit/h8ovwPs8bN24U64BPnjxxdnYWmuepVKoffviBiGrXrp3LFBARFdiAe2IiU6/Mk5TEpHkOf9Tu3buNjY2JqEOHDrmpAx4ZGenj4+Po6MgTeXKTAg+aER8f7+HhwduCmZiYeHh45KYfYHBwcKdOnfivsmrVqoc1svEqPZ2lpjI7OxYUxA4fZlWqsJQUBNxlwyMFAwYMeCOqvn37SrqR+WMQcNd+sgTcmVqGY0hIiIhP9b1790p01Qqy2Lx5s76+PhH98MMPuTkTjYiI8Pb2dnBwEM5YLCws+BmLJrfdfI3ERCaEdE+dYkZGDMFTycTExHh7e9evX1+4HmNvb+/t7Z2lZkiOgoODeS5S8eLFT/D0AY27e/cujy0KDZMiIiL4Be//LlyQZUnaKSgoSE9PT09PLzAwUMS3gMuXL2thWRWBUE5n0aJFIj7qV69e1ahRg4gWLFgg90PMmdTldAo29WJu/v7+6t/auHGj8EYsSrby06dPPT09raysypYt26NHj7wfELRTYGDgypUrJTz7Sk5mvXszGxvm7Mxq1WJNm2YWroW8uXfvHt85t2HDBrnXIqft27cTUd26dSU6/uLFi3nyh0TJr59WYAPuQUGsfPnMm/fvy5DDdP78+RIlSvBrKR/rFfbu3TsfHx8nJyf+FssvcDk5Ofn4+Ghy5yx81rNnz1xcXPjvyNLS0sfH52P3jIqKcnNz09PT4zEILy8vDQcgeMCdMdazJ1u4EAF32Tx48MDQ0LBIkSIkqiJFihgZGWm4IPLz5OSz7979Gx19Ojr67Lt3SVJmAMHXuREXF/ju3b/R0YHR0ddzEc8SV8uWLXkxd3Hp6uqqV98D6Zw4caJw4cJE1Lhx49evX+d4n6ioKH7Gwt/giMjY2NjJycnPzy9FyJ/RZtHRbNo01rYta92aTZ7M3r5laWnszRu5l1XwBQUFubu7Fy1alD9tChUqxLdBfOz+vr6+PDu+Xr16jx8/1uBKs+rTpw99mOS++bffQh0cVKjk/qERI0YYGhqK/hZgZGQ0aNAguR/cR/GrwqI/8MKFC0vXBCjvXrx4YWZmVqdOndzkk0F2KSkp/KKFrq5ulr07AQEB/FNDo0aNwr82pvn69esVK1Y0btxYeEbVV68HAvClPDxY27aMpxuqVGzECIbrbWKIi4urXr06EfXr10/utcgsOTmZR01dXFzWrVt37Nix+/fvi/XJ4sKFCwYGBgqFYu/evaIc8EspGGPiniVoiTt3qGNHCgvLuPngATVrRq9fa3oZoaGh33///f3798uVK/f333/XrVuXjycnJwcEBOzevXvv3r2JiYlEpKur27p1axcXlx49evArXaCF/vnnn/Hjx9+6dYuIWrduvWzZMr6Ni1MqlZs3b545c+bbt2/19PSGDBkyb948/vKhSdWr0+7dVKMGhYVRkyb06hW9e0d4Tsni2rVrCxcu5LuDxeLo6Dh58mT1nEEN2Boefjgqqu77+gAjy5Ur+j7iBlpiQHBwSQOD4np6RFTKwGBomTKanP3x48dnzpyZNGmSuIf19/evX7++FHEcyC4oKMjJyenp06c2NjaHDx/mO9+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",
+      "text/plain": [
+       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x400>"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1606,10 +2494,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "id": "ef0cbdad-5684-4d5e-ab0c-5a67a45a5f4c",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.340227Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.339971Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.360524Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.359921Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 B2 fragments with the most retrosynthetic routes found\n"
+     ]
+    }
+   ],
    "source": [
     "filters.plots.retro_routes_fragments(\n",
     "    fragment_library,\n",
@@ -1645,9 +2549,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 40,
    "id": "b1113ffc-909a-42af-a8ea-c165a7aadcb1",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.362755Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.362540Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.385363Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.384796Z"
+    },
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "saved_filter_results = pd.read_csv(PATH_DATA_CUSTOM / \"custom_filter_results.csv\")"
@@ -1655,108 +2567,721 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 41,
    "id": "4dca157d-bc38-4721-9d51-c24b6167c8f1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "saved_filter_results.set_index([\"subpocket\", \"smiles\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a76c8868-1d6d-4405-9f97-81b4875bb190",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fragment_library_concat = pd.concat(fragment_library)\n",
-    "retro_results_df = pd.DataFrame()\n",
-    "retro_results_df[\"subpocket\"] = fragment_library_concat[\"subpocket\"]\n",
-    "retro_results_df[\"smiles\"] = fragment_library_concat[\"smiles\"]\n",
-    "retro_results_df[\"retro_count\"] = fragment_library_concat[\"retro_count\"]\n",
-    "retro_results_df[\"bool_retro\"] = fragment_library_concat[\"bool_retro\"]\n",
-    "retro_results_df.set_index([\"subpocket\", \"smiles\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3cf3aa42-5df2-459e-836c-82386ee12de8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "all_results_df = saved_filter_results.merge(\n",
-    "    retro_results_df,\n",
-    "    left_on=['subpocket', 'smiles'],\n",
-    "    right_on=['subpocket', 'smiles'],\n",
-    "    how=\"outer\",\n",
-    ")\n",
-    "all_results_df.to_csv(PATH_DATA_CUSTOM / \"custom_filter_results.csv\", index=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e52b50c1-893a-4d80-9f32-624cef38867c",
-   "metadata": {},
-   "source": [
-    "#### 4.4.2. Save fragment_library_custom_filtered to data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "308082f4-2807-4203-a887-b355e0827b3e",
-   "metadata": {},
-   "source": [
-    "Save custom filtered fragment library as .sdf files to [/data/filters/fragment_library_custom_filtered/](https://github.com/sonjaleo/KinFragLib/blob/fragment_pairs/data/fragment_library_custom_filtered/)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "be565a33-a752-4bcd-96bc-0379e23f04cb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for subpocket in fragment_library.keys():\n",
-    "    fragment_library[subpocket].drop(\n",
-    "        fragment_library[subpocket].loc[fragment_library[subpocket][\"bool_retro\"] == 0].index,\n",
-    "        inplace=True,\n",
-    "    )\n",
-    "    fragment_library[subpocket] = fragment_library[subpocket].reset_index(drop=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "369c413b-62ec-4e09-91e4-deb5c3025584",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fragment_library_concat = pd.concat(fragment_library)\n",
-    "fragment_library_concat.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b277ca0c-e6e7-46da-9dd3-7b3cc8971922",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "filters.retro.save_fragment_library_to_sdfs(\n",
-    "    PATH_DATA_CUSTOM,\n",
-    "    fragment_library_concat,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "877854e7-7b9a-4839-830d-6cb3bc00cd55",
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.387843Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.387641Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.420140Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.419454Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>bool_pains</th>\n",
+       "      <th>bool_brenk</th>\n",
+       "      <th>bool_ro3</th>\n",
+       "      <th>bool_qed</th>\n",
+       "      <th>qed</th>\n",
+       "      <th>bool_bb</th>\n",
+       "      <th>bool_syba</th>\n",
+       "      <th>syba</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subpocket</th>\n",
+       "      <th>smiles</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">AP</th>\n",
+       "      <th>Nc1c[nH]c2ncccc12</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.565900</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30.950959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.747185</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>17.682659</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.656515</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.611823</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Nc1ncnn2cccc12</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.563803</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>28.754427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cc1cc(N)[nH]n1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.488854</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>15.727015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">B2</th>\n",
+       "      <th>c1cnoc1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.447261</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11.831072</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>c1ccoc1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.446031</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.852398</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CNC</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.398671</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10.078885</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>c1ccc(N2CCOCC2)nc1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.616781</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>48.630055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cc1cn(-c2ccccc2)cn1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.621614</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>32.821614</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3505 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                               bool_pains  bool_brenk  \\\n",
+       "subpocket smiles                                                        \n",
+       "AP        Nc1c[nH]c2ncccc12                             1           1   \n",
+       "          N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1              1           0   \n",
+       "          CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1           1           0   \n",
+       "          Nc1ncnn2cccc12                                1           1   \n",
+       "          Cc1cc(N)[nH]n1                                1           1   \n",
+       "...                                                   ...         ...   \n",
+       "B2        c1cnoc1                                       1           1   \n",
+       "          c1ccoc1                                       1           1   \n",
+       "          CNC                                           1           1   \n",
+       "          c1ccc(N2CCOCC2)nc1                            1           1   \n",
+       "          Cc1cn(-c2ccccc2)cn1                           1           1   \n",
+       "\n",
+       "                                               bool_ro3  bool_qed       qed  \\\n",
+       "subpocket smiles                                                              \n",
+       "AP        Nc1c[nH]c2ncccc12                           1         1  0.565900   \n",
+       "          N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1            1         1  0.747185   \n",
+       "          CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1         0         1  0.656515   \n",
+       "          Nc1ncnn2cccc12                              1         1  0.563803   \n",
+       "          Cc1cc(N)[nH]n1                              1         0  0.488854   \n",
+       "...                                                 ...       ...       ...   \n",
+       "B2        c1cnoc1                                     1         0  0.447261   \n",
+       "          c1ccoc1                                     1         0  0.446031   \n",
+       "          CNC                                         1         0  0.398671   \n",
+       "          c1ccc(N2CCOCC2)nc1                          1         1  0.616781   \n",
+       "          Cc1cn(-c2ccccc2)cn1                         1         1  0.621614   \n",
+       "\n",
+       "                                               bool_bb  bool_syba       syba  \n",
+       "subpocket smiles                                                              \n",
+       "AP        Nc1c[nH]c2ncccc12                          1          1  30.950959  \n",
+       "          N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1           0          1  17.682659  \n",
+       "          CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1        0          1   0.611823  \n",
+       "          Nc1ncnn2cccc12                             1          1  28.754427  \n",
+       "          Cc1cc(N)[nH]n1                             1          1  15.727015  \n",
+       "...                                                ...        ...        ...  \n",
+       "B2        c1cnoc1                                    1          1  11.831072  \n",
+       "          c1ccoc1                                    1          1   5.852398  \n",
+       "          CNC                                        1          1  10.078885  \n",
+       "          c1ccc(N2CCOCC2)nc1                         0          1  48.630055  \n",
+       "          Cc1cn(-c2ccccc2)cn1                        1          1  32.821614  \n",
+       "\n",
+       "[3505 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "saved_filter_results.set_index([\"subpocket\", \"smiles\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "a76c8868-1d6d-4405-9f97-81b4875bb190",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.422459Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.422165Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.450344Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.449805Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>retro_count</th>\n",
+       "      <th>bool_retro</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subpocket</th>\n",
+       "      <th>smiles</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">AP</th>\n",
+       "      <th>Nc1c[nH]c2ncccc12</th>\n",
+       "      <td>704</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Nc1ncnn2cccc12</th>\n",
+       "      <td>188</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CNc1ncnc2[nH]ccc12</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>c1cnc2ccnn2c1</th>\n",
+       "      <td>2870</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Nc1cc(C2CC2)[nH]n1</th>\n",
+       "      <td>454</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">B2</th>\n",
+       "      <th>Cn1ccc2ccccc21</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>COc1ccc(C)nc1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>c1ccc2c(c1)OCCO2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>C[S@](=O)c1ccccc1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cc1cn(-c2ccccc2)cn1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>778 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               retro_count  bool_retro\n",
+       "subpocket smiles                                      \n",
+       "AP        Nc1c[nH]c2ncccc12            704           1\n",
+       "          Nc1ncnn2cccc12               188           1\n",
+       "          CNc1ncnc2[nH]ccc12             2           1\n",
+       "          c1cnc2ccnn2c1               2870           1\n",
+       "          Nc1cc(C2CC2)[nH]n1           454           1\n",
+       "...                                    ...         ...\n",
+       "B2        Cn1ccc2ccccc21                 0           0\n",
+       "          COc1ccc(C)nc1                  0           0\n",
+       "          c1ccc2c(c1)OCCO2               0           0\n",
+       "          C[S@](=O)c1ccccc1              0           0\n",
+       "          Cc1cn(-c2ccccc2)cn1            0           0\n",
+       "\n",
+       "[778 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fragment_library_concat = pd.concat(fragment_library)\n",
+    "retro_results_df = pd.DataFrame()\n",
+    "retro_results_df[\"subpocket\"] = fragment_library_concat[\"subpocket\"]\n",
+    "retro_results_df[\"smiles\"] = fragment_library_concat[\"smiles\"]\n",
+    "retro_results_df[\"retro_count\"] = fragment_library_concat[\"retro_count\"]\n",
+    "retro_results_df[\"bool_retro\"] = fragment_library_concat[\"bool_retro\"]\n",
+    "retro_results_df.set_index([\"subpocket\", \"smiles\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "3cf3aa42-5df2-459e-836c-82386ee12de8",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.452354Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.452130Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.485827Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.485258Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [],
+   "source": [
+    "all_results_df = saved_filter_results.merge(\n",
+    "    retro_results_df,\n",
+    "    left_on=['subpocket', 'smiles'],\n",
+    "    right_on=['subpocket', 'smiles'],\n",
+    "    how=\"outer\",\n",
+    ")\n",
+    "all_results_df.to_csv(PATH_DATA_CUSTOM / \"custom_filter_results.csv\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e52b50c1-893a-4d80-9f32-624cef38867c",
+   "metadata": {},
+   "source": [
+    "#### 4.4.2. Save fragment_library_custom_filtered to data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "308082f4-2807-4203-a887-b355e0827b3e",
+   "metadata": {},
+   "source": [
+    "Save custom filtered fragment library as .sdf files to [/data/filters/fragment_library_custom_filtered/](https://github.com/sonjaleo/KinFragLib/blob/fragment_pairs/data/fragment_library_custom_filtered/)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "be565a33-a752-4bcd-96bc-0379e23f04cb",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.488175Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.488004Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.508659Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.508078Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [],
+   "source": [
+    "for subpocket in fragment_library.keys():\n",
+    "    fragment_library[subpocket].drop(\n",
+    "        fragment_library[subpocket].loc[fragment_library[subpocket][\"bool_retro\"] == 0].index,\n",
+    "        inplace=True,\n",
+    "    )\n",
+    "    fragment_library[subpocket] = fragment_library[subpocket].reset_index(drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "369c413b-62ec-4e09-91e4-deb5c3025584",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.510775Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.510601Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.589017Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.588489Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>subpocket</th>\n",
+       "      <th>smiles</th>\n",
+       "      <th>ROMol</th>\n",
+       "      <th>ROMol_dummy</th>\n",
+       "      <th>ROMol_original</th>\n",
+       "      <th>kinase</th>\n",
+       "      <th>family</th>\n",
+       "      <th>group</th>\n",
+       "      <th>complex_pdb</th>\n",
+       "      <th>ligand_pdb</th>\n",
+       "      <th>alt</th>\n",
+       "      <th>chain</th>\n",
+       "      <th>atom_subpockets</th>\n",
+       "      <th>atom_environments</th>\n",
+       "      <th>smiles_dummy</th>\n",
+       "      <th>fragment_count</th>\n",
+       "      <th>connections</th>\n",
+       "      <th>connections_name</th>\n",
+       "      <th>bool_pains</th>\n",
+       "      <th>bool_brenk</th>\n",
+       "      <th>bool_ro3</th>\n",
+       "      <th>bool_qed</th>\n",
+       "      <th>qed</th>\n",
+       "      <th>bool_bb</th>\n",
+       "      <th>bool_syba</th>\n",
+       "      <th>syba</th>\n",
+       "      <th>bool</th>\n",
+       "      <th>retro_count</th>\n",
+       "      <th>bool_retro</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">AP</th>\n",
+       "      <th>0</th>\n",
+       "      <td>AP</td>\n",
+       "      <td>Nc1c[nH]c2ncccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>5l4q</td>\n",
+       "      <td>LKB</td>\n",
+       "      <td>A</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
+       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
+       "      <td>[11*]c1cnc2[nH]cc(N[27*])c2c1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>[FP, SE]</td>\n",
+       "      <td>[AP=FP, AP=SE]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.565900</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30.950959</td>\n",
+       "      <td>1</td>\n",
+       "      <td>704</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>AP</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAeFElEQVR4nO2de1yUVf7HPzPD/Q4CykVQxFWxNPGCKWAqilwqtWbdLNrVTbbsFaW2kq9SfmYX1jXD1Gzc0kDNwmuWIIEXEFcNvC6FKyoXFbkIDDe5zcz5/fGwqDj3eZ55hvG8X73mVc+c55wP8eGc83yf7zlHQAgBhcI2Qr4FUMwTaiwKJ1BjUTiBGovCCdRYFE6gxqJwAjUWhROosSicQI1F4QRqLAonUGOxTEoKZszAc8+hubn3V/X1mDEDL7zAhyyjY8G3AHOjuBg5OQCQlIT16x/6qrMTOTno148XXcaG9lhcsXEjLlzgWwR/UGNxwuzZkMnwt79BLudbCk9QY3HC888jNBQFBZBI+JbCE9RYXPHFFxCJsGIFKiv5lsIH1FhcMWYM/vpXNDXh3Xf5lsIH1Fgc8umncHfH7t3IyOBbitGhxuIQNzd8+ikAvPMOOjsf+urqVVRX8yLKSFBjccvChXj6aZSUYMOGh64vW4YBAzBkCF59FVu3orycJ32cQQOk3CIUYvNmjB+Pjz5CZOT963Z2sLfHjRu4cQM7dgDA0KGYMgVTpuCZZ+Dry5de1qDG4pwxY7B4MTZuxOrV9y/+8APkcly8iPx8nDqFnByUlKCkBF9/DQBeXggNRUQEJk/GyJF8CTcIAV3+xS5/+xu2bsX27fjLX+5fbGzE8OGoqgKAfv1w927vu+RyXLnS7bCjR1Fff/+rPmoy2mMZA2dnrFuHV15RWUAkwsiRGDkS8fEPmezYMdy5gz17sGcPAAwYgLAwTJ6M0FAEB0MgMNpPoDuEwgYKBdmwgTQ3k/h4ApDt25WUmTaNAKRfPx2qlcvJxYskJYXMmUPc3Qlw/58RI2pfeumlr7766vfff2fph2ATOhSyw9Kl+PxzTJ+Od9/FpUuIjsaTT/Yuc+0a9u2DrS0SEvRs5cYN5OQgPx8nTsDb+8DZs3OZ656enhMmTAgNDY2IiBgzZoxQyP/DPjUWC3zwAT7+GFZW2L8fMTFGavTKldvHjx/Ky8vLzc29c+dOz3UPD4+wsLApU6Y888wzTzzxBF8mo8YylPXrsWwZRCLs3g2xmB8NN27cyM/PP3Xq1C+//FJWVtZz3dHRMSQkJCIiYvLkySEhIZaWlkaTRI1lEF98gbffhkiEtDTMn8+3GgBAZWXlqVOncnJysrOzS0tLe647ODhMnDiRMdmECROsrKw4lUGNpT/btuG11wBAIsGiRXyrUUZpaWleXt6JEydyc3MfNJmTk1NoaOiUKVPEYvHgwYM5aZvXR4c+TGoqEQqJQEA2bza0qtpaIpWyoUktlZWV6enp8fHxQUFBgv8FKt57772rV69y0Rw1lj7s20csLAhA/vEPFmpbuZKIRCQoiMTHk/R0cvcuC3Wq59atW7t27Ro5ciSApKQkLpqgxtKZgweJpSUByJo17FT41lvEyup+gEooJKNHk7ffJvv3k9padppQyuHDhwGMHz+ei8rpHEs3srPx3HNob8fSpfjsM9aqbWvDuXPd0fb8fLS33/8qIKD7fc60aSy/nG5ra3N3d29vb6+srOzfvz+bVYPOsXQhP5/Y2xOAJCRw2EpbGzlxgvzf/5GpU4mt7f2eTCAgQUFk8WJy4MClO3fusNJWdHQ0gG+//ZaV2h6EGktbTp8mjo4EIAsXEoXCSI12dZHCQpKcTGJjibNzt8OCgsYDCAgIiIuLk0gkZWVlete/ceNGAPPmzWNRMwMdCrXi4kVMn476esTF4dtvwUs0u6sLv/6KvDxFfv5zeXm5LS0tPV8NHTo0PDycibYPHDhQ+zpLS0sDAgJcXV1ramosLFjNSGDdqubH5cukXz8CkLlzSVcX32oIIYTIZLLCwsKUlBSxWOzq6vrgL9TLy0ssFkskkqKiIm2qGj58OIC8vDx2FVJjaeDqVeLlRQAyaxZpb+dbjTJkMllBQcG6detiY2NdXFweNJmfn19cXFxjY6Oa25cuXQpgxYoV7KqixlJHeTnx9ycAiYggbW18q9ECuVxeVFQkkUjEYnG/fv0AuLm5yeVyNbdkZ2cDGD16NLtK6BxLJbduYcoU3LiByZORlQV7e74F6YhCoSgqKqqoqIiNjVVTrLOz093dvbm5uby83M/Pj63W+U/cMU1qajBzJm7cQEgIMjP7nqsACIXCUaNGqXcVACsrq+nTpwPIyspis3UW6zIb7t7F9OkoLsbo0cjIgKMj34I4JioqCkBmZiaLddKhsDeNjYiIQGEhhg1Dbi5Yj0ibILdu3fLz87O3t7979661tTUrddIe6yFaW/HssygsxNChOH78sXAVAF9f3yeffLKlpSU/P5+tOqmx7tPWhthYnDwJPz9kZ8PLi29BRoR5t8PiaEiN1U1nJ158ESdOwMcHx4/D359vQcaFmWZlsLd7CZ1jAUBXF158EYcOwdMTJ05gxAi+BRkdmUzm4eEhlUqvXbs2ZMgQwys0/x6rqQkNDbh3T8lXXV1oaEBLC7Zvx6FDcHfH0aOPo6sAWFhYzJw5E8CRI0dYqdD8jTV9OtzcEBiIxsbeX+XkwM0Nc+di0SIkJiIrC088wYdE04DdoIP5G4vhzh0kJan8ViBAcjKCg40oyPSIjo4WCoXHjh27p7R715HHxVj29ti0CefP863DhPH09AwODpbJBKdO/W54bY+LsZYuhVz+WO+PrQ3z5h20tm45dGic4VWxb6yysrLLly/fuHGjoqKioaGh+dGjP/jghRcwaRIKC7FlC99STJjQUJ+WFsHhwyxUxfI2Rvv379+2bdvhR6RZWFg4OjqKRCInJyfmUygUOjs7M58CgcDFxYX5BODq6uro+ISFRQwAJonNxQUCQfenszOEwu5PJyeIRFoJEwiwaRPGj8f772POHPj4sPtzmwkTJsDTE6Wl+O9/MWyYQVWxaay2trYFCxY0NTUNHz68s7Ozq6urpaWF+ZTJZA0NDQDuPrrpmDLCwhadPKnt9hqMvZhPR0dYWHR/DhqEf/3rfrExY7BwIf71Lyxbhu+/1/3HewwQCjFzJnbuREaGKRnrxx9/bGpqCgkJOXPmTK+veuzV3NzMfMrl8qamJuZToVA0NjY++Onq+vSIESAEUikANDTc/5RKu6/3fDY13f/2QQIDe19JTsbBg/jhB8TFGW9bmL5FVBR27kRmJpYsMageNo21c+dOAK8o27jO0tKSSc328PBgsUWGxkYoFN2fTU2Qy7s/H93wzs0Nn3yCRYvw9tuIiGBdiDkwaxZEIuTmornZsHwhtlJRa2pqLC0tLSwsqqqq2KqTFcaNIwC5dKn7P+Vy8vTTBCDr1pGMDAKQGTN41Wd6MP9/Dh40qBLWngp3797d1dUVFRXF/ppaVhEK8eWXEImwZo2STWYpAKKiAMDACDxrxlIzDpoaTz2FN99EYyM++YRvKSZJdDQAQ49pYcdYJSUlBQUFTk5Ozz77LCsVcs2aNfD2xpUrfOswSYKD4e2NmzdRVKR/JewYKy0tDYBYLLa1tWWlQq5xcsLatXyLMFUEgu5DNAzptFgwFiHku+++Qx8ZB3t4+WVMm8a3CFPF8GkWC4l+J0+eDA8P9/HxqaioMIWNoHtx+zY6OuDri0c33Wxqwt27sLV9vLKQtaGpCe7uIAS1tXh4cbW2sOADZtr+6quvqnJVdXV1bW2t4Q3ph48PAgJ6u+rmTXz4IbZuRUAAdZUSnJwwaRJkMuTk6FuFgTGPjo4OZin3f/7zH1Vlli1bZmlp+eWXXxrYFosUFhKADBzItw4TJjm5e88m/TDUWHv37gUQHBysqoBcLvfx8QFw5swZA9tiEYWie6sP1X8OjzuXLxOADBig52Zghg6FGsNXR48evX37dmBg4IQJEwxsi0VYefAxb558Ev7+qKrChQv63G6QsRoaGjIzM0Ui0UsvvaSqzI4dOwDExcUJTOysKlbiy+bNrFmA3n97hvSWW7ZsARAZGamqQGtrq4ODAwCONhM3BKmUWFoSS0tj7LHeRzl4kABk0iR97jWox+rpjVQVOHDgQEtLy6RJk4YOHWpIQ1zg7Iynn0ZXlwEPPuZORASsrXH2LOrqdL5Xf2OVlZWdPn3a3t7++eefV1VGo/P4hY6G6rG3R3g45HLos8GR3v3k6tWrAcTFxakqUF1dbWFhYWVlddcIZy3oxaVLBCBeXsbbBbnPcfgw+eYbUlOj8436J/ppfI2za9cumUw2e/ZsJtBlgowaBT8/VFTg4kWMGcO3GhPj999RWQlHx+5khwfp6MDJk7CyQni46vv1MzKTfOzl5SWTyVSVCQ4OBrB37179mjAOzEm7H33Etw7TY+HC7m3lf/6591c3bxKA9O+v7nY951jM5Gn+/PkiFatkiouLz58/7+zsHP2o4U0JOs3SyJtvorVV57v0MZZMJtuzZw/UjoNMIs28efNMPJFmxgxYW+PMGX0efB4H/PxQXo5PP9X5Rn2MlZmZWVNTExQU9NRTTyktQAj5/vvv0RcSaeztERYGuRy//MK3FJNk6VI4O+Of/0RxsW436mOsnnQGVQVyc3PLysr8/f1DQ0P1qN/I0NFQDf36YeVKdHbi9dehU4KVzsZqamr66aefhELhfNVnIDPOM8HXOEphJoGZmVAo+JZikiQkYPhw5OUhLU2Hu3Q21p49e9ra2tQcBtTe3r5v3z4AL7/8sq6V88Lw4RgyBHfvoqCAbykmiaUlNmwAgL//HfX12t6ls7E0pjMcOnRIKpWOHz+eOf2nT0BHQ/XMnAmxGLW1SEzU9hbdjFVRUZGXl2djYzN37lxVZfrQOrAeGGPRFBo1bNgAJyds24Zff9WqvG7G2rVrl0KhmD17trOzs9ICdXV1WVlZFhYW8+bN06lmfpk6FXZ2OHcO1dV8SzFVvLywciUUCrzzjlazeN2MpfE1zu7duzs7OyMjI018PXQvbG3xzDNQKMDSzq7myTvvYPRonD6NPXs0F9bBWOfPny8qKvLw8GC211VKXxwHGaKj4e/fdfnyZb6FcMiZMwbt32RhgY0bIRDg44+1KK39y6MlS5YASFB90HZJSYlAIHBycmptbdW+WhPh+vUyAC4uLl0mcogq25w7R1xciEhEjh/XqjzzrnDHjt7XX321+x0iO+8K5XL57t27obY32rFjByHkhRdesLOz07Ja0yEgwH/48OFSqfT06dN8a2Gf//4X0dGQSvH88zAwaP3Pf+Lhs4KVo62xsrOzq6qqhg4dOn78eKUFCCG7du1C3xwHGVg/T8ZEKCnB1KmorkZkJL77DurPFD97FtOmoa4OHh4ICFCyRZanJ9auRUCAplNhtOxImWjnmjVrVBVgDo7y8fFRk0hj4nB0iC2/6HT68PnzxNWVAGTVKkPb1cpYLS0tDg4OAoHg+vXrqsq8/vrrABITEw1VxB8dHR2Ojo4AysvL+dbCDrdukYCA7gURzc0aCl+5Qvr3JwCZM4cYPs/UylhMDkxYWJiqAj3roS9fvmyoIl6ZPXs2gK1bt/IthAWqq8mIEQQgISGkqUlD4ZIS4u1NABIZSdrbWWhdK2PNmDEDgEQiUVVg//79AJ566ikWFPGKRCIBMGfOHL6FGEpDAxkzhgBk9GhSV6ehcHk5GTSIAGT6dM3DpZZoNlZlZaVIJFK/JoJ5w7Nu3Tp2RPHHzZs3BQKBg4NDOyt/tjwhlXbvvDpsGNG4I6xOw6X2aDbWunXrAMydO1dVgfr6emtra6FQeOvWLdZ08ceoUaMA5OTk8C1ET1pbSVgYAUhgILl9W0PhmhoSFEQAMmYMaWhgU4bmcIPGYHp6enpHR0dERISPWZz30KeDDj2nDw8ciOxseHurKyyVIjISv/+OUaOQk6PnPlgqUe+73377DYCrq6uaoYFJE01LS2PT8PyRm5sLYMSIEXwL0Zn29va//OVdF5d6Hx+i+vG9m8ZGMn68tsOlHmgw1vLlywG8/vrrqgqUlZUJBAI7O7tmFsdnXunq6mKO9Ll27RrfWnSgs7OTWZI+aVJkcbGGwq2tJDxc2+FSP9QZSy6XM2mi+fn5qsqsWbMGwMsvv8yBNt744x//CGDTpk18C9EWmUzGbPjj4uJy7tw59YXv3SNTp3bvO1daypUkdcY6evQogEGDBilUL0Fn0kSPHDnCgTbe2L59O4CYmBi+hWiFQqFYtGgRACcnp19//VV94Y4OEhNDAOLjQzjtkdUZa8GCBQBWqQ3vX758eeXKlWaWEVBdXS0UCm1tbU0/TUOhUCxevBiAnZ1dbm6u+sIyGRGLCUA8PMhvv3ErTKWx2tramDTRK1eucCuBD+RyufoC48aNA5CRkWEcPXrDTIJtbW2PHTumvqRMRubPJwBxcSGaRksWUGksJkkmJCSEcwlGJz09PTAw8ObNm2rKrFq1CsBbb71lNFV68P777wOwsrL6+dH9FR5GoSCLFhGAODkRTaMlO6g0FvOIsXbtWmOoMBa1tbXMxBzA6tWr1ZRksrIGDx5sNG268tlnnwEQiUTp6enqSyoUivfeKwWIgwNR/RjGMiqNVVBQYGtr6+vrq3E+2FfIyMjw9vZmpiMpKSlqnkgIIXK53NPT02RnAhs2bGBctWvXLo2Fly9f7uTkPG5c/tGjRpDWjUpjlZaWjh07lvk1pKamGk8RB0il0vj4eKajmjx5cklJiTZ3MSlo69ev51qernzzzTcCgUAgEGiThfHBBx9oOVyyi7qnwvb29oSEBOb3ERcXd+/ePaPJYpGsrCwmGmdra5ucnKxx2t7DRx99BMDDw2PFihVHjhwxkQhwamqqUCgUCASbN2/WWLhnuPzhhx+MoO1BNL+ETktLY3LYg4ODS7kLqHFAa2trQkICs3/ExIkTtR/UOjs7V61aZWFhYWlp2fPuSyQSjR07NiEhIT09vb6+nlPlamBCVp999pnGksxwKRQKtRkuWUerfKwLFy4EBAQA6NevX1ZWFteaWCE/Pz8wMBCApaVlUlKS9gnTRUVFzBxAIBAsXLhw7969y5cvDwkJsXggV1wkEo0bN27ZsmWHDh1qYDcrQBMKhSIzM1NjsZ7hUk0WHadom/Pe2NjIZFcKBILExETtBxTjc+/evcTERObEqFGjRl24cEHLG2UyWXJysrW1NfO+oVdkqKWlJTs7OykpKSIiginDIBQKg4KC4uPj09PTTWQb37S0NO2HS47QYV2hQqFITk5mfmExMTE8DgdqOH369LBhwwBYWFgkJiZ2dHRoeeO1a9fCwsKYv5z4+Hj1M6rW1taTJ08mJydHRETY2Ng8mC0SEBAQHx+fmprKV3bavn37mM41OTmZFwEMOm9ue+zYMeY53N/fv6CggAtN+tHZ2ZmUlMTsiTpy5MjCwkItb1QoFBKJxN7eHoCXl9dPP/2ka7uFhYWMyXrti9ljsoqKCt1/IH3IzMxketMPP/zQOC2qQp9dkysqKkJCQgDY2Nh8/fXXrGvSg0uXLjH7VgqFwoSEBO0Ti0tLS6dOncr4QCwW12nMD1dLV1cXY7LY2FgnJ6deJouLi5NIJGVlZYY0oYbs7Gym+1yyZAlHTWiPnttxPxiJiI+P137EYZ2urq7k5GQrKyvml6fxRWwPTEfFHPXTv3//AwcOsC6sx2S9NufpMRmLT9n5+fnMz2Iir6EMOqQpNTWViUSMHTuWl0hEUVER87aYmRi1tLRoeWNlZWVsbGxPR1VbW8upTplMVlhYmJKSIhaLXR5OAfby8hKLxRKJRM2aTY2cOXOGWRG5YMEC9W8UjIahB2GeP3+eiUS4u7sbMxIhl8tTUlJUPcGpJz093c3NDYCrq+uOR3e94JgHTcbIeNRkRUVF2ld48eJFpp5XXnnFdJ7WDTUWIUQqlTKRCJFIlJSUZISf7fr16+Hh4T0dVZPG5Zj/o6qqipEKIDo6+jZHablaI5PJioqKJBKJWCzudTAMY7KUlJTCwkI1ndCVK1eYrcjmzp1rUllxLBiLPByJiI2N5S4SYcgTXHp6uru7OwBnZ2e+wobquX79OmMyRmcP/fv3V2qykpISLy8vAJGRkaa2EJIdYzFkZGQwfXJgYOClS5dYrJlB7ye4+vr6nuVrM2fOVJ+JZSIwJouLi/P19X3QZJ6enrGxscnJyT///POgQYMAREREtLG1fpk92DQWIaSiooI5+9nGxuabb75hsebU1FRmfurp6anTE9zhw4e1z5YxTXpM5ufn1+Mw5h1oeHi4aeZPs2wsQkh7e3tPjgorkYg7d+48++yzejzB6ZctY+IUFxdLJJL58+czf2bav7AyMuwbi4GtSETPE5yLi4tOa2KzsrKYQUTXbJm+AnMySEpKCt9ClMOVsYjBkYjq6uo5c+Yw/U1UVJT2T3B6Z8v0LZiT/dSc9M4vHBqLEFJXVzdr1iz9IhFXrlyxtbXV9QmuJ1vGxsYmOTm5724vqJHa2lqRSGRtbW0iGYi94NZYxLBIxMGDB7V/gtM7W6bvMnHiRACHDh3iW4gSODcWA9eRCL2zZfo0zHnvb7zxBt9ClGAkYxHOIhFtbW2JiYl6ZMuYAQUFBQAGDhzItxAlGM9YhINIRE+2jEgkSkxMNLXoM9coFIoBAwYA0OndonEwqrEYWIlEPJgtM2TIkLy8PFY19hn+/Oc/wyTXFfNgLGJwJOLB9Q46ZcuYH8zZ21OnTuVbSG/4MRbRNxKhfr3DY4hUKrW0tLS0tJRKpXxreQjejEV0j0TotN7h8YH5f7Jv3z6+hTwEn8Zi0CYSYeB6B/Pmk08+AfDaa6/xLeQh+DcW0RSJYHe9g/lx8eJF5u/NpBI3TMJYhJD29nZm8fiDkQimo2Je43Ox3sFsYNJpTOplg6kYiyE1NZVZmjd27NizZ88ac71Dn4b5m/z444/5FnIf0zIWIaSgoMDf3x8AE6Nyd3fXuLEYhTnLKDQ0lG8h9xEQbY4kNy51dXULFiwIDg6+dOnSV1991bfOLeeFlpYWd3d3mUxWXV3da1EGX5iisSh6EBERcfTo0d27d//pT3/iWwug0yn2FFMmKioKpnQEEO2xzITi4uKgoCAPD4+qqiom5swv/CugsMKIESPmzDnl7HyzoMAkfqcmIYLCCt7ek65dszaRwZAay3yIigIAEzEWnWOZD21tcHdHezsqK8F7iIb2WOaDrS2mTIFCgawsvqVQY5kZpjMa0qHQrCgtRUAAXF1RU4MHtg/nAdpjmRWDB2PYMDQ04MwZnpVQY5kb0dGACYyG1FjmBjPNysjgWQadY5kbnZ1wd0dLC27ehI8PbzJoj2VuWFlh2jQQwvNoSI1lhphC0IEOhWbIrVvw84ODA+7ehZUVPxpoj2WG+PriiSfQ3Iz8fN40UGOZJ7wHHaixzBPegw50jmWeyGTw8IBUiuvXERDAgwDaY5knFhaYMQMAjhzhRwA1ltnCb9CBDoVmS1UVvL1hY4O6Ojx88qsx4DW1gsIlAwbglVfg54eODh6MRXss80QqBSGwsVFiqY4O3LsHa2vY2eHePbS1wc5OufOam9HZCUdHfaKsdI5lngwbBjc3TJiArq7eX23fDjc3vP02AKxYAXd3rF2rvJI5c+Dujp9+0kcANZY5U1SEzz/np2lqLHPG0REffojych6apsYyZ959F62teOMNHpqmxjJn3ngDQ4ciMxMHDhi7aWosc8bKqnuO9eabaGw0atM0jmXmxMQgJgaHD2P1aqxfr7zMjz+iokLJ9eJi/dulxjJ/Nm/G8eP44gvExWHMGCUFLlzAhQssN0qHQvPH3x+JiZDL8eabUBoOX7YMt28r+ScsTP9GaY/1WJCYiO++w+nT+P57Jd86OsLbW8l1Q9KaaY/1WGBtjQ0bAOC999DebowWqbEeFyIj8eKLqKjAli3GaI4a6zHi88/h4ICrV/W5t60NP/6IbduQl6d8otYLaqzHCF9frFqlz41nz2LwYCxZgrQ0REdjxgwl77Z7QY31eLFkCUaN0vmuDRsgFuP6dZw4gX//G7m5SEvTcAvNxzJPysshl2PQIDy6M3dDAxoa4OgIDw80NKCpCS4ucHZWUklNDdra4OEBOzsoFPerGjECM2bgiy/UCaDhBvPE31/lV66ucHVV8u+P4ul5/997XKVQoK4Ovr4aBNChkKIbe/eisRGzZ2soRo1F0YGrV7F4MRIT8Yc/aChJ51gUbblwAbGxiImBRAKBQENh2mNRtGLnToSFIS4OX32l2VWgPRZFGxYvxpYtiInBc891X/H01DDNosaiaCYmBp2dD10ZNgybNqm7hRqLwgl0jkXhBGosCidQY1E4gRqLwgnUWBROoMaicAI1FoUTqLEonECNReEEaiwKJ/w/zHDFZy1eAP0AAADvelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAC4g5gbiBkY2Bw0gzczCDqGZYTSbQwaYZkQIQBTCJTAZ7AxgBiMTNwNjAgNrAgNbBhMjUwIjRwITcwYTM0sCC2sGEyunAht7AjtHBpMIExtQkJWBkZWNgZGDXbwJqJkR7sKFBY37lOZy7QdxJAK19wd5p9mD2Jv27LXT7PgLZntefmmfX3YezL7Wz++wRtDCDsT+wj7LfuqBNLDeVwH79zP+3wBmp+dqH+BKebMPbMNxrgO3XhaB9YaHnLd3eiV6AMQWAwBkpTXECKkoQQAAAVF6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9ksFOA0EIQO/9ivkBJ8AwDBzbbmOM6TbR6tUYTbQHPfn/Edq0U5OJ7G4CzAMGWP34en95+3w9fC8XKeRhuj/8pIvQtHA//POaWXouALDYplDSanN7N6f1frk6e9a7p3n/mBASosf485dd7nfbswfTOt1ApkqKFFplZPGQDEfpsZTmOBcxAvFzNavaBmBxEHJpUNXzZ1NoqAOOvTRmJWkSnBAo0ICrno8yccHKfozNWq0DTo75CEoRjZsaYGkyAFv0jJmNpbbQilLTUWkNkrI0rbVEThZsgAPSTiSKFouaxqo6An0rc3SL1gQjpDAxlQG5mac/qzotb7Wbp7489o/6hsKUvocwWx83O1H6VMO0PjyOgD6iwGufgxs9s0UZ7+SqJ/YQvdhxMe3Jo5Pre4d9/mFdX/wCN4yV90N8XA8AAAD2elRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXc4xbsMwDAXQq3RsAYUQKYqk7KkXKHKF1vBQFJGDxO2Uw5fORmnjf/yEPhbsS++0+EN6ebwiCDaVdCIoTExpRqBciqZThpaxuM0ExAVryoDatNZjyUicvE7Z0pyhaK7mc7OsfsXbIo2yeMlaq6aeEaAYe9LYzPCZiJof9HUW1HxkCNxY/EsIxUjteYwqGdKxVxlZ0lv63LfL+bZdpwz336/rtvysO7yffVz73/dt65e171AnjIyBkSeKTqOX6GV0js6j1+h1dIkuo2t0Hd2iW3SZWvQ29B//O96cYWfOidIAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAZXUlEQVR4nO2dd1xUVxbHf9NgQKVYQEZDtcSGJWrEtqIYNVaMGDGixkLcRZNNNMuaNWtAsyFxI1hREmNPjJpGRIJiwUCINRAFRGQAZQdQQWkiAzN3/3iIw1CkzJs38+Z+//Az3vvePQf9ce555925V0AIAYWia4RcO0DhJ1RYFFagwqKwAhUWhRWosCisQIVFYQUqLAorUGFRWIEKqylkMtnatWu1Gjdt2mRvb19cXMyJS8YCFVZTFBQUlJSUaDWWlZXdu3dPrVZz4pKxQIVFYQUqLAorUGFRWEFAVzc0gUgkIoQIBALNRkIIIaSoqMjW1pYrxwwfMdcOGDqTJ09evny5ZsuRI0eOHj3KlT/GAhXWc3BxcfH29tZsSUpK4soZI4LmWBRWoMKisAIVFoUVqLCaYu7cuS+99JJWY//+/efOnWtmZsaJS8YCLTc0i5iYmO+//37SpEmzZ8/m2hfjgEasZpGcnBwREXHx4kWuHTEaqLAorECFRWEFKiwKK1BhUViBCovCClRYFFagwqKwAhUWhRWosCisQIVFYQUqLAorUGFRWIEKi8IKVFgUVqDCorACFRaFFaiwKKxAhUVhBSosCitQYVFYgQrr+VRXV8fFxQFITU3l2hejgQrrOSQnJ3t4eJw8edLCwiIqKio0NJRrj4wEQmkEpVIZEhLCfDFVJpP97W9/EwqFAD766COuXTMCqLAaJiEhoW/fvgAEAoG/v39JSQkh5PDhw2KxGEBgYCDXDho6VFjalJeXBwYGikQiAD169Dh37pxm75EjRyQSCYA1a9Zw5KBxQIVVh+hoMmpUuoWFhVgsDgwMfPLkSW1XcXEx8+Hnn382NzcHsGLFCpVKxZGnhg4VVg0PHhA/PwIQgPj5HUxOTq7tevjwob+/v4uLS1lZGdNy8uRJqVQKYNmyZVRbDUKFRQghR48SOzsCEAsLEhJCqqufdR0/frxr164ApFLpmTNnattPnTplaWkJYPXq/ZrXUxj4Lyw/P2JrSyIi6jSGhxNbW5KfTxQKMnt2TaAaM4bcvPnsmvz8fB8fH+bZedSoUWlpaVojnz9/fuTINe3bEx8folSy/5MYFfwXFqMba2uiUDxrDA0lAAkNJdbWBCA2NuSLL4haXdOrVpM9e8jkyR8CsLKy2rlzp7q2ry6XL5OOHQlApk4lFRXs/zDGg0kIy8WF2NuTN9541sgI6+OPCUCmTSN37z7ryswkEyYw0+LjBQtW3NXsa4hr10jnzgQgkyeTx4/Z+RmMEJMQ1oABJDycACQ2tqaREVZuLjl16tmVKhXZvZu0b08AYmtLdu9uronUVOLgQAAydiwpKdGx/0aKqQirupoMGkR69SJMAYERlubkSAiZMaMm2XrjDXL/fsus3LxJunUjABk1ijytS5g0pvKuUCTC9u3IyEBISKPXLF8OmQw//IBDh9C5c8vG790b8fFwdUVCAsaPR2FhG/01ekxFWABGjcKiRQgJgVze8AXTpuH2bcya1crxnZ1x9izc3HD1Kry88M03iIhAWVmdaxISsHdvK8c3LkxIWAA++wwWFlizptELLCzaNL6TE+Lj0a8ffHzwySd46y2sX1/ngm++wdtvt8mEsWBawurSBR9/jB9+wLlzbJno2hUXL+KDDwDA0hJbt8I0T0gxLWEBeOstDBuGyEgWTbRrV/PBywu9e2PFCpjgaawmJyyhEOHhEIn0YUssxpYtuHgRERH6MGdQ8F9YHh545ZU6LS+9hE8+gY8PpFLWrU+YgJkzsXYt8vNZt2VQ8P9YOc1UPSgI+fn4/HO8/77+HAgLQ79+WL0ahw/rzyjn8D9iaRIRgV278PChXo06O+ODD/D117hwQa92ucW0hNWhAwCUlurb7vvvo3dvvPuuCWXx/J8KNeFKWGZm2L4dEyeaUKZlihGrpIQD015eeP11KBQcmOYE0xKWlRXARcRiCAuDtTU3pvUPnQrZ4sgRmJvXaenaFVevchMv9Y9pRSx9CqtvX7i5AUBCApycwByg6eaGwYP1YZ1zTFFYeo4Z1dW4cwdFRXo1yjmmKCw951jM4dFKpV6Nco5pCYuT5J0Ki/+wGrGKihAbi+vXtdslEoAKi9+wKqyzZzFxIoKDtdtpxOI/rCbvjQmICov/sJpjNS2sqipWjBospiUsVqfCxnIpGrH4D6vColOhJqYoLFZzrPpTHhUW/+Ewx6LC4jNiMaRSqFSoqND94I0JSCyGUIjqahNa5QdTExbYnA2biEwmGLRMVFhszIZNC8vG5qFSSXRv1VAxOWGxl2aZmT1wc+vXseOI+l0SSedHjzoqlSa0VYhpLfQDmxFLIkFmZmqnTp3qdzGnEChNaS40OWENHQpzc1ha6n7kJtRDhcVbLlxAQQEmTsTmzc8aU1ORkgJvb4h18c9AhaWJqeRYGzZg7lwEBtZpPH4cc+eislI3Jp4rrCpTel9oKsICYG6OL7/Eb7+xNb5QKBSLxYSQ6upqrS4asfjMSy9h6FCsWMHiQoPGBESFxWcEAoSF4cYNhIWxZYIKqxYTEhYADw+88QaCgpCTw8r4VFi1mJawAGzaBLGYrY1AqbBqMZVyQy1duyI4GO+8g+ho3Q++ZMmSyspKy3pVMioskyAgAPv2YfVqzJmj45GDgoIabDdBYXE5Ff7+++/fffedVmNpaek333yTkZHBnl2RCDt2ID0dBw+yZ6QOVFh6ZefOnUuXLtVqzMvLmz9/fkxMDKumPTywZAmys1k18gzmtF8qLF5x/jyyshpo//TTZ+eaPHnCogNKpTIpKalbt27x8fEsmjEweC6sK1cwfTpGjcJ772mXrzp2RFwcTp9GQgJcXXHpEisOVFRUzJo1KykpSaFQ7N2799ChQ6yYMTz4LKzMTEybhrIyeHpi0iQMHap9Qd++8PLCt98iLw+zZyM3V8cOlJeXT58+PTo62s7Obu3atYSQJUuW/PLLLzo2Y5Bw/FSoVCq3bdum2XL//n2djHzvHqZMQUEBvLywdy+Ejf8G7dqFnBycOYMpUxAfr7NN9x4+fPjqq6/+/vvvDg4Op06d6t+/v1qtDgkJee2112JjYz08PHRjxmDh8Eg7Pz8/gUDgWBeZTAZg27ZtbRm5uJgMHkwAMmwYKS19/vWFhaR3bwKQKVNIVVVbLNeQn5/v7u4OwNnZ+fbt20yjWq1+8803AXTu3Pmm5unTfIRjYVlbW2s1pqent1FYlZVk4kQCkB49SEFBc++Sy2sOsvf3b7XlGnJycnr27AmgT58+ubm5ml1KpXLKlCkAXF1d8/Ly2mqpIY4ePZqQkMDGyC3CcHOsrAaf5Z6HWo0FC3D6NGQynD4NO7vm3ujighMnYGmJiAhs2dIKyzVkZWWNGzcuIyNjyJAhcXFx3bp10+yVSCTHjx8fOXKkXC6fNGnSo0ePWm+pHkwWce3atYKCApVKVcrVJr4ADDZ5LykpGTx48IQJE5gA1nyCguKOHYONDX75Bc7OLTM6bBj27YNAgPfew08/texehtTU1NGjR2dlZY0ePfrs2bNdunSpf42lpeWPP/7Yq1evW7furFnzSIe1rffff3/69On37t27cuXKmDFj9u/fr7OhWwGH0bKJqTAgIMDGxgaAhYVFcHDwE+Yk5+cRHBwMwMtrQ1xc673asIEAxNKSXLzYshsvX77MfJPC09Oz9HmZnVwu9/S8D5D584la3XpvNVGr1ampqePHj583b969e/d0M2hrMVBhbdu2rbCw0N/fXyAQAOjRo0d0dHTTo+3evRuASCQ6fvx4Gx1bvJgAxNPzwd27d5t5S1xcnJWVFYDp06dXVFQ055Y//yQ2NgQgAQFt8FUDpVK5cOHCI0eOvPnmm9u3b9fNoK2FS2FlZGRcunRJq7GiouK3336rTWwvXLjQv39/JrhOmzYtJyenwaF++uknsViMNj9OMlRWkiVLbkulNgMHDiwpKXnu9VFRURYWFgDmz59f1ZKnynPniLk5AcimTW1w9yllZWXr16+Pj49PS0s7dOiQDkZsA1wKq5kolcqwsLAOHToAaNeu3fr16ysrKzUvSExMZFaqBAcH68pocXExI+jJkyc3rZUff/zR3NwcwFtvvaVSqVpq6MgRIhQSgYDs29cGdwkpKyvbvn177969+/Xr15xfBrYxAmEx5Obm+vn5MaHL3d299on6+vXrtra2AFasWKFbi3K53M7ODsDy5csbu+bgwYNMpPzHP/6hbm2utGMHAYhEQn75pTW3V1RUhIeH9+vXz8HBwcHBYdGiRSwVMlqE0QiLITY2tnfv3gAEAoGfn19SUtILL7wAYObMmdXV1To3d+nSJSYWhoWF1e/dsWOHUCgEEBgY2EZDgYE1TwyJiS24S6kkhw4dGTJkCCOp11577cqVK230RFcYmbAIIY8fP163bh0z+zDLUTw9PZv52NgKjh49KhAIhELhDz/8oNkeEhLC6Hvz5s1tt6JWk4ULCUBef51kZhKFQvuC7Ow6xV61mhw9Snr1Iq+8ctzBwWH8+PGRkZFtd0OHGJ+wGDIyMsaNG+fk5GRvb//o0SNWbW3YsIEpfFx8WoH497//zTyBfvnll7qyolSSzz4jqak1oUsur9Pr4ED8/Go+nzhBBg4kAAHImDGVkZGRrZ6F2cNYhUUIKS8vNzMzE4vFxcXFbNvy9/cH4ODgkJ2d/c477wAwMzP79ttvdW4oI4MARCAg06fXaWeE9dtvZNy4Gkl1705279bNm002MGJhEUJGjRoF4MSJE2wbUiqVEyZMAFBbto2KimLDECOsuXMJQDTnXgcH4u1NhEICkC5dSGgoaV6xjDMM9JVOM/H09ARw7ty5+l3R0dGBgYG6Wg0skUi+//57Nzc3kUhkYWERGRn56quv6mTkBpk2DePH4+23UVb2rLF9e/j7IygImZn4+98hlbJnXxdwrew2cebMGQBDhgyp38VUoS5cuKBDc8uWLYMungGbgIlYBw6QP/8kYjF5772ads0cyygw7og1cuRIqVSalJRUWKi9Wd748ePRSDBrNf/73/8AMPMv2wwYgJUrsXUr/vhDD9Z0j3ELSyqVjhgxQq1W//rrr1pdTcySrYb5UlqPHj10OGYTBAfD3h4BASBGuHepcQsLjQto3LhxIpEoMTGxooVbbysUitjYWEW98+arq6tzcnKEQqGLi0tbHG4+HTrgv/9FYiK+/VY/BnUJb4VlY2Pj7u5eWVmZmJjYogGjoqImTpy4bt06rfbs7OyqqipHR0epHtPmefPg5YW1a41vK2+jF9bLL7/crl27GzduFBQUaHW1Ls1qbL5j2pk1x/pk507k5aFeDmnoGL2wzMzMRo4cSQi5cOGCVlfr0qzbt2+jIQHpOcGqpWdPrF6tZ5s6wOiFhcYFNHbsWLFYfOnSpfLy8uaP1lhkakxwuqVTJ4SEYMiQOo3/+hc+/RRz57JqWddwXe/QAUwW9eKLL9bvGj58OICYmJhmDqVWq5kle/WXNE2ePBmAPt/1BgURZ2eye7feDOoSPkSsoUOHWllZ3bx5k6kzadLSNCs3N7eioqJr167MukJN9BOxNCkpQXY2W4fgsQ0fhCUWi0ePHg0gLi5Oq4uZJc+ePdvMoRqbB/VfawBgbg4Y7dFOfBAWGk+zRo8ebWZmdvXq1WZ+g6+xsJSVlVVVVeXk5MSsA9MPRn1mGK+EVT8yWVpaDhs2TKVSJSQkNGecpmsNen4kZDSsq/MN9AxPhDV48GBbW1u5XJ5Tbz/kFqVZjUUs/SdYeBqxqLC4RCgUjh07FsD58+e1ulqUZjWWY3EYsehUyDGNpVkeHh5SqTQ5Obn+Cggt1Gq1XC4H4OrqqtXFScSysjrRp89Qc/MN+jSqK/gmrPqRqYkVEFowtQYHB4f6tQZO3ucQUpSWdvX+fRb3+WUP/ghrwIABdnZ2d+/ezczM1Opq5rudxtRTVVV1584dkUikz1oDAOYJtNI4kyz+CEsgEDBpVn0BMfn7c9OspmsNjo6OzK7aeoMRlpHutcwfYaHxyDR8+PB27dqlpKTUXwGhSWMZOicJFmjEMhxqKwuk7prLJlZAaNL0ugb9C4sJkFRY3PPiiy/KZLK8vLz627U1J81qel2D/hfM0IhlQPzlL39BQ+nUc6tZTK1BIBC4ublpdek5YikUiuvXrwPo27fvsWPHQkNDAahUqj///PPevXv68UEHcLy6QtdEREQAmDNnjlZ7VVUVszGa1m6ztWRnZwOQyWT1u5iylt72OV61alX9/xcmO9y4caN+fGg7fDv9qzbNUqvVQo3N3cVicUhIiL29PbPnUX0aS7C4qjUYO3wTlpubm5OTU05OTkpKyoABAzS7/vrXvzZxY2PzXVZWVnV1taurq55rDcYO33IsNJ5mNY2hfYfC2OFbxALg6el54MCBc+fOMdvCNBND+w4Fs3tALbrdEV4P8FBYzLYwcXFxKpVKJBI1866wsDB/f/+h9U5y4qo66uXlpWeLuoWHwnrhhRdcXV3lcnlycvIQre+7NI6Li0uD6TlXEUvrXIkHDx4Y19MDD3MsPH023L9/f9sLP1xFrPZ1qX+AuYHDw4gFwMXFpXv37lu3bt26dau5uXm3bt1cXV1dXV0dHBxkMhnz2dnZWdjEYXMAAKVSydQanFt6fIrJw09hXb58OTc3VyaTPXnypKioSC6XMyv4NJFKpc7Ozs7Ozk5OTrV/Ojs7Ozg41F7D1Brc3NxoraGl8FBYd+7c+fnnn83MzK5du2Zvb19SUpKTk5P9FOZzTk7OgwcPbt68efPmTa3bpVKpk5MTozNmpxr9J1g8gIfC2rVrl0ql8vX1tbe3B2BlZTVgwACtYimAJ0+eKBQK+VMUCkVeXp5cLs/KykpPT699jS2TyZgjAvSGr6/vwIEDtRqtrKy++OKL+g+tBouAGOOuXo1TWVnp5ORUUFCQmJg4YsSIVozw+PHj2vCWlJS0Z88eiURy69YtR0dHnXvLZ7h+WaljDhw4AGDQoEG6GtDX1xcsnKfCe/gmrJdffhnAnj17dDXgrVu3xGKxRCKRa23pT2kSXtWx/vjjj4sXL9rY2MybN09XY/bs2XPevHlVVVXMGSeUZsIrYW3btg3A0qVLdVtOXL9+vVgs3rt3b+uOqTZRuA6ZOqOoqMjS0lIgEKSnp+t88IULFwJYtmyZzkfmK/wR1qZNmwBMmTKFjcFv377NZFqZmZlsjM8/eDIVkqeLkgMCAtgY383NbcGCBVVVVRs3bmRjfP7BkzrWyZMnp06d6uTklJmZ2fylMi0iMzOzT58+zEnxvXr1YsMEn+BJxNqxYweAgIAAllQFwM3Nzc/PT6VS/ec//2HJBJ/gQ8SSy+U9e/Y0Nze/e/dup06d2DOUk5PTq1cvlUqVkpLCnCBMaQw+RKzw8HC1Wj1v3jxWVQXAyclp4cKFKpXq448/ZtUQD+CDsJydnR0dHZv+Eo6u+PDDD83MzL7++uv6yyIomog++ugjrn1oAbm5uX5+fh07dtRcyjJ8+PAnT56cOnVq5syZbDtgbW2dm5srEAjKy8uZdaqUBjGyiFVaWhoZGVm/An7lypWYmBj9+PDhhx8WFBTs37+fWQ5PaRAjE5Yh0L17d19fX5VKxeyqQGkQKqzW8Pbbb5uZmUVGRqalpXHti4FChdUaZDLZ/Pnz1Wr1li1buPbFQDGyOlZaWlrfvn1dXV2ZZce1pKenW1hY5Obm6s2TgoICDw8PpVJ5+vTpPn366M2usWCUa9579OgxaNAgzZbCwsIWnR3Xduzt7efPn//VV1+FhoYyrykpdeD2HXhLSU1NBRAeHq7VPnv27G7duunZmfz8fBcXF5lMlpKSomfThg/NsVqPvb39ggULCCGbN2/m2heDgwqrTaxcudLCwiI6OjolJYVrXwwLKqw2YWdn5+fnRwj5/PPPufbFsDAyYUkkEkdHx/pHknTp0qV79+6cuLRq1ap27drFxMQkJSVx4oBhYmTlBsNkw4YN4eHhr7zyyr59+7j2xVCgwtIBRUVFI0aMKCsri4qKGjx4MNfuGARGNhUaJh07dly4cGGfPn2qq6u59sVQoBFLN1RWVkokEmbDLYVC8eDBA3d3d66d4hIasXSDubm5UChkfksvXbq0a9curj3iGBqxWkBBQUFQUFBSUpK9vf3atWuHDx9+8ODBw4cPM72rVq0qLi6OjY319PRMSUmxsbFRKBRbt27l1meuMMp3hVwRFhbm7u6+efPmX3/9denSpUlJSTdu3PD19Z01axYAS0vLhw8f2tjYfPXVV1lZWf/85z+9vb25dpkzqLBawCeffMJ8mDhxYmlpaWFhYX5+/tSpU62trZl2Ozu7Dh06iEQib2/vrKwsHx8f7pzlGJpjtYa0tDRbW9suXboUFRV9+umnEyZMmDNnDnPM03fffffuu++uXLnyypUrWltqmxQ0x2oxJSUl3t7eK1as8PHxKSsrMzc3l0gkW7ZsiY+PP3bsGNfeGQo0YrWMwsLCRYsWzZgxg5nm2rdvL5FIAHh5eTE7wlMYqLBawLVr16ZOnTpjxozFixcXFxc/evRo/fr1OTk5lZWVBw4c8PDw4NpBA4JOhS1g8eLF+fn5tX/duHHjtWvXTpw4cf/+/TFjxqxbt445a5MCKiwKS9CpkMIKVFgUVqDCorACFRaFFaiwKKxAhUVhBSosCitQYVFY4f99EGuvAjdvCwAAAYp6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAASAWBOIGRjYHDSDNzMIOoZlhNEyckQFEMzKii6PTMHUY+hgg+mB8BgMQzcAoyQEkHUvyc/1Kc3I0ZBi0gRKMYAkggSHJzcCYwMCWwMCewcTIlMDIlcDEnMHEzMLAzJrAypbBxMajwM6RwMHJwMGVwcTFzcDDy8DHw8DOzyDCxMbEzMrGwMjKzsDIxSF+CmQDFDMIXJm1zO7574mOqls1naZPOL+P8ewMx03vdJwU5b/ss7++2LE7R8epYXuDne3s5Y6eeRpOnnMb7NbobnC8/ljdyaW7xv7Am4WOyf9VnAptm+wPWk53nFin6vRpg4Cd/dZ2x687tZ0K11jvXzm5w9HawMDpzvXO/SYMTY66C42cOh079t/+Oclx2kMDJ8ePt/enak1zjH1r7GQieM2eJX2io+l6RSed1Jv2O2s6HW1qlZzO1Is4/Fec4qh5R8bpzQFPe6NnVY4z3mk6iQEAxKhuiqFW4mIAAAHxelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZS7rhMxEIb7PIXrIx1rbvbYBUUuR4BQNhIJtAiBBKeAivcXM+tdbDdsEsn2fnPxP79Sfvz6/uXbz6+vv4+H4M/Hy4fXP+Hfw5eDncN/vrXW8JkB4HANvginl7fvl3B+HE/7yfn2aXncA+aAajH2mdnj43bdTzCcA0SmJGCbEkmK5Q5CUShXGGIpLOEZokBDa0QAdJQjMeOI8oZqtmSBbFV2FCHDiMpanxJKI2uC0uojqI5kCu8aSU5SBCJ2EmNVSiOZrbxlKjm1nCRe1EmSKiOpVh0joKZ2+wpMjWTlPJJl7RMFvSbmWDOn1mdlnMhqpF1emyaoEZTWy0sE0UknBLvTszWgq9SW1i6ysTnp1Cr6pJzNsjXLStBYIuCJpZZXsXBjTUptbC1YJtaHhTErbQ4wMVZdbWqEc7tiaQ2tRdrNsKTa0NyG0dEUngKZr2BrIGF2lbhGwjQ5wGz6ZNJqKateKeayjtgt6O27ga/H+/0NpT3kZblMJm62Pt2WS7e12I+6d32r3Z++Ld2DYgR3o/kWsdtJPKJ7xpOnbgwPz336tumV0FuxCB7GKBZTh1GhBeE4D/EDHFRHD0MaxEXnUAYNcT3udbzNYi9GzUaFfL//adj68BfzA93B34syHQAAAYd6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxlkT1vGzEMhv9KxyRQBH5TOk9Z2k6F96JDangIipyD1O2UH1/yDBSWvByk5+HxyPcevt19//rj/oDrYTusK10O/5+kD+np08cdVSbggq0qmhXulVB3WM1JkqIrF4EqhJi4t8BesWlPbEQcGKIsqzswFcHKzraD2ptpIagkYIlJugQmRUncFVoRqgjuF0yFqEL0zOrupLvH+LRby3JpgEU4ym3DoDFKj+sFEzPuHmMWk20W9hhFKsV6iR3btqY7ePLesGUbj9dyI3DC5CB+aePWC1pMBRs39ZwdBTlxN9acvTPmpt5adNFqLXYILI2DMukWIsm2p5D1+/J8Pr3u309vC9Tff36+nQ6/juf65Smux/Xvy/tpfT2u57o+L3jln/Zxvfa60Khp0jxqHjTKIqOX2evodfY2epu9j95n30bfZt9H32ePMMUDNxVzgHhTMWWIdFMxxYhTjrbgdZCf93mf/+MUJc5ZfvwDP0kM0hVncEoAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.563803</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>28.754427</td>\n",
+       "      <td>1</td>\n",
+       "      <td>188</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>AP</td>\n",
+       "      <td>CNc1ncnc2[nH]ccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>ACK</td>\n",
+       "      <td>Ack</td>\n",
+       "      <td>TK</td>\n",
+       "      <td>4ewh</td>\n",
+       "      <td>T77</td>\n",
+       "      <td></td>\n",
+       "      <td>B</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>14 14 14 14 14 14 14 14 14 16 14 5 5 4 4 4 na ...</td>\n",
+       "      <td>[26*]c1[nH]c2ncnc(NC[54*])c2c1[37*]</td>\n",
+       "      <td>11</td>\n",
+       "      <td>[FP, SE, FP]</td>\n",
+       "      <td>[AP=FP, AP=SE, AP=FP]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.633912</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>38.386371</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>AP</td>\n",
+       "      <td>c1cnc2ccnn2c1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>ACTR2</td>\n",
+       "      <td>STKR</td>\n",
+       "      <td>TKL</td>\n",
+       "      <td>3q4t</td>\n",
+       "      <td>TAK</td>\n",
+       "      <td>A</td>\n",
+       "      <td>B</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP SE GA</td>\n",
+       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 na na</td>\n",
+       "      <td>[33*]c1cnc2c([46*])cnn2c1</td>\n",
+       "      <td>11</td>\n",
+       "      <td>[SE, GA]</td>\n",
+       "      <td>[AP=SE, AP=GA]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.511376</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>39.622898</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2870</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>AP</td>\n",
+       "      <td>Nc1cc(C2CC2)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>ACTR2</td>\n",
+       "      <td>STKR</td>\n",
+       "      <td>TKL</td>\n",
+       "      <td>3soc</td>\n",
+       "      <td>GVD</td>\n",
+       "      <td>A</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>15 15 15 15 15 15 15 15 14 14 14 14 14 14 14 5...</td>\n",
+       "      <td>[17*]Nc1cc(C2CC2)[nH]n1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.581756</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18.524861</td>\n",
+       "      <td>1</td>\n",
+       "      <td>454</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fragment_library_concat = pd.concat(fragment_library)\n",
+    "HTML(fragment_library_concat.head().to_html(notebook=True))\n",
+    "# NBVAL_CHECK_OUTPUT"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "b277ca0c-e6e7-46da-9dd3-7b3cc8971922",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-05-13T08:55:44.591053Z",
+     "iopub.status.busy": "2024-05-13T08:55:44.590854Z",
+     "iopub.status.idle": "2024-05-13T08:55:44.657524Z",
+     "shell.execute_reply": "2024-05-13T08:55:44.656960Z"
+    },
+    "metadata": {}
+   },
+   "outputs": [],
+   "source": [
+    "filters.retro.save_fragment_library_to_sdfs(\n",
+    "    PATH_DATA_CUSTOM,\n",
+    "    fragment_library_concat,\n",
+    ")"
+   ]
   }
  ],
  "metadata": {
diff --git a/notebooks/custom_kinfraglib/2_1_custom_filters_pipeline.ipynb b/notebooks/custom_kinfraglib/2_1_custom_filters_pipeline.ipynb
index 29bc4bab..2f5e393c 100644
--- a/notebooks/custom_kinfraglib/2_1_custom_filters_pipeline.ipynb
+++ b/notebooks/custom_kinfraglib/2_1_custom_filters_pipeline.ipynb
@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 60,
    "id": "83f121b7-4eb0-44a9-917d-848c3260e78f",
    "metadata": {},
    "outputs": [],
@@ -83,10 +83,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 61,
    "id": "61331f5a-9c09-46d5-953b-8664759d339e",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The autoreload extension is already loaded. To reload it, use:\n",
+      "  %reload_ext autoreload\n"
+     ]
+    }
+   ],
    "source": [
     "%load_ext autoreload\n",
     "%autoreload 2"
@@ -94,7 +103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 62,
    "id": "f9019a43-e297-4994-9e81-afcf9b5c0801",
    "metadata": {},
    "outputs": [],
@@ -113,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 63,
    "id": "2009cd65-2f9d-4e10-9b9b-50951135b17f",
    "metadata": {},
    "outputs": [],
@@ -135,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 64,
    "id": "55c418ee-1661-4691-ae47-df3ccb8c3d79",
    "metadata": {},
    "outputs": [],
@@ -145,9 +154,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 65,
    "id": "886c9531-dc1b-4931-ba2e-527ffa2fa2a1",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -155,7 +166,7 @@
        "dict_keys(['AP', 'FP', 'SE', 'GA', 'B1', 'B2', 'X'])"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 65,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -166,17 +177,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 66,
    "id": "5fbd4b60-4b27-4fbb-b841-d283e1e6dcad",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(7486, 15)"
+       "(9505, 15)"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -200,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 67,
    "id": "430b6d23-d8bf-4e7e-bfff-ce61763d4634",
    "metadata": {},
    "outputs": [],
@@ -239,7 +252,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 68,
    "id": "dee58765-3bbb-4d5b-a311-d9ada68f9314",
    "metadata": {},
    "outputs": [],
@@ -272,7 +285,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 69,
    "id": "8a436f9c-f845-46c5-bacc-e75d4a63fb50",
    "metadata": {},
    "outputs": [],
@@ -307,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 70,
    "id": "533b9d7f-fa1c-49d6-b60b-30a5c624c30b",
    "metadata": {},
    "outputs": [],
@@ -343,7 +356,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 71,
    "id": "ad36d741-3311-420d-a02a-ddc8f1325716",
    "metadata": {},
    "outputs": [],
@@ -428,7 +441,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 72,
    "id": "60c3946b-8882-41c7-85b4-7fd69c1c7b2f",
    "metadata": {},
    "outputs": [],
@@ -465,7 +478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 73,
    "id": "b8752297-0a8b-4386-a155-369c71550203",
    "metadata": {},
    "outputs": [],
@@ -496,7 +509,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 74,
    "id": "a31bbffa-972f-4e0a-9e18-56913642ef06",
    "metadata": {},
    "outputs": [],
@@ -531,16 +544,14 @@
     "Afterwards, we will compare the children retrieved from ASKCOS with the fragments building the pair. If the fragments are substructures of the children their `retro_count` is increased by one and the fragments, pair, children and plausibility are stored in the `mol_df` dataframe. If they are no substructures, we will store the information in the `diff_df` dataframe.\n",
     "If plots are activated a barplot with the number of rejected and accepted fragments grouped by the number of retrosynthetic routes found and the molecules of the rejected fragments and the <=10 fragments with the most retrosynthetic routes found.\n",
     "\n",
-    "[ASKCOS webpage for one-step retrosynthesis](https://askcos.mit.edu/retro/)\n",
-    "\n",
     "For a closer look at the functionality of this filtering step, please check `/notebooks/custom_kinfraglib/1_4_custom_filters_pairwise_retrosynthesizability.ipynb`\n",
     "\n",
-    "**Note:** This function might run a long time if you accepted more/other fragments in the previous filter steps than with the default settings."
+    "**Note**: Make sure that ASKCOS is running if the input is changed (using `make start` within the `askcos2_core` directory which is obtained following the [installation](https://askcos-docs.mit.edu/guide/1-Introduction/1.1-Introduction.html))."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 75,
    "id": "c67efbfa-ecf8-45c6-af8d-1fbcb3b4c2ee",
    "metadata": {},
    "outputs": [],
@@ -596,15 +607,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 76,
    "id": "2f3f866f-5c7d-4d73-adcf-78fab5d9f3d2",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Your custom kinfraglib, the chosen parameters log file and the filtering results will be stored in /home/katharina/KinFragLib/notebooks/custom_kinfraglib/../../data/fragment_library_custom_filtered/2024-04-10_16-26-18\n",
+      "Your custom kinfraglib, the chosen parameters log file and the filtering results will be stored in data/fragment_library_custom_filtered/2024-05-13_15-11-15\n",
       "Apply PAINS filter..\n"
      ]
     },
@@ -637,45 +650,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>990</td>\n",
-       "      <td>11</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>1188</td>\n",
+       "      <td>13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>845</td>\n",
-       "      <td>17</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>1078</td>\n",
+       "      <td>22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>598</td>\n",
+       "      <td>743</td>\n",
+       "      <td>735</td>\n",
        "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>300</td>\n",
-       "      <td>6</td>\n",
+       "      <td>355</td>\n",
+       "      <td>347</td>\n",
+       "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>42</td>\n",
+       "      <td>47</td>\n",
+       "      <td>47</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>42</td>\n",
+       "      <td>59</td>\n",
+       "      <td>59</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2817</td>\n",
-       "      <td>42</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>3454</td>\n",
+       "      <td>51</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -683,13 +696,13 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_pains  rejected_pains\n",
-       "AP             1001             990              11\n",
-       "FP              862             845              17\n",
-       "SE              606             598               8\n",
-       "GA              306             300               6\n",
-       "B1               42              42               0\n",
-       "B2               42              42               0\n",
-       "Total          2859            2817              42"
+       "AP             1201            1188              13\n",
+       "FP             1100            1078              22\n",
+       "SE              743             735               8\n",
+       "GA              355             347               8\n",
+       "B1               47              47               0\n",
+       "B2               59              59               0\n",
+       "Total          3505            3454              51"
       ]
      },
      "metadata": {},
@@ -732,45 +745,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>782</td>\n",
-       "      <td>219</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>943</td>\n",
+       "      <td>258</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>705</td>\n",
-       "      <td>157</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>898</td>\n",
+       "      <td>202</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>496</td>\n",
-       "      <td>110</td>\n",
+       "      <td>743</td>\n",
+       "      <td>610</td>\n",
+       "      <td>133</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>196</td>\n",
-       "      <td>110</td>\n",
+       "      <td>355</td>\n",
+       "      <td>236</td>\n",
+       "      <td>119</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>26</td>\n",
-       "      <td>16</td>\n",
+       "      <td>47</td>\n",
+       "      <td>34</td>\n",
+       "      <td>13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>36</td>\n",
+       "      <td>59</td>\n",
+       "      <td>53</td>\n",
        "      <td>6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2241</td>\n",
-       "      <td>618</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>2774</td>\n",
+       "      <td>731</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -778,13 +791,13 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_brenk  rejected_brenk\n",
-       "AP             1001             782             219\n",
-       "FP              862             705             157\n",
-       "SE              606             496             110\n",
-       "GA              306             196             110\n",
-       "B1               42              26              16\n",
-       "B2               42              36               6\n",
-       "Total          2859            2241             618"
+       "AP             1201             943             258\n",
+       "FP             1100             898             202\n",
+       "SE              743             610             133\n",
+       "GA              355             236             119\n",
+       "B1               47              34              13\n",
+       "B2               59              53               6\n",
+       "Total          3505            2774             731"
       ]
      },
      "metadata": {},
@@ -826,45 +839,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>516</td>\n",
-       "      <td>485</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>606</td>\n",
+       "      <td>595</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>653</td>\n",
-       "      <td>209</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>840</td>\n",
+       "      <td>260</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>500</td>\n",
-       "      <td>106</td>\n",
+       "      <td>743</td>\n",
+       "      <td>613</td>\n",
+       "      <td>130</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>278</td>\n",
-       "      <td>28</td>\n",
+       "      <td>355</td>\n",
+       "      <td>312</td>\n",
+       "      <td>43</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>39</td>\n",
+       "      <td>47</td>\n",
+       "      <td>44</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>40</td>\n",
-       "      <td>2</td>\n",
+       "      <td>59</td>\n",
+       "      <td>55</td>\n",
+       "      <td>4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2026</td>\n",
-       "      <td>833</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>2470</td>\n",
+       "      <td>1035</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -872,13 +885,13 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_ro3  rejected_ro3\n",
-       "AP             1001           516           485\n",
-       "FP              862           653           209\n",
-       "SE              606           500           106\n",
-       "GA              306           278            28\n",
-       "B1               42            39             3\n",
-       "B2               42            40             2\n",
-       "Total          2859          2026           833"
+       "AP             1201           606           595\n",
+       "FP             1100           840           260\n",
+       "SE              743           613           130\n",
+       "GA              355           312            43\n",
+       "B1               47            44             3\n",
+       "B2               59            55             4\n",
+       "Total          3505          2470          1035"
       ]
      },
      "metadata": {},
@@ -920,45 +933,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>875</td>\n",
-       "      <td>126</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>1064</td>\n",
+       "      <td>137</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>579</td>\n",
-       "      <td>283</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>759</td>\n",
+       "      <td>341</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>443</td>\n",
-       "      <td>163</td>\n",
+       "      <td>743</td>\n",
+       "      <td>550</td>\n",
+       "      <td>193</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>199</td>\n",
-       "      <td>107</td>\n",
+       "      <td>355</td>\n",
+       "      <td>234</td>\n",
+       "      <td>121</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
+       "      <td>47</td>\n",
+       "      <td>25</td>\n",
        "      <td>22</td>\n",
-       "      <td>20</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>23</td>\n",
-       "      <td>19</td>\n",
+       "      <td>59</td>\n",
+       "      <td>33</td>\n",
+       "      <td>26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2141</td>\n",
-       "      <td>718</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>2665</td>\n",
+       "      <td>840</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -966,13 +979,13 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_qed  rejected_qed\n",
-       "AP             1001           875           126\n",
-       "FP              862           579           283\n",
-       "SE              606           443           163\n",
-       "GA              306           199           107\n",
-       "B1               42            22            20\n",
-       "B2               42            23            19\n",
-       "Total          2859          2141           718"
+       "AP             1201          1064           137\n",
+       "FP             1100           759           341\n",
+       "SE              743           550           193\n",
+       "GA              355           234           121\n",
+       "B1               47            25            22\n",
+       "B2               59            33            26\n",
+       "Total          3505          2665           840"
       ]
      },
      "metadata": {},
@@ -980,9 +993,9 @@
     },
     {
      "data": {
-      "image/png": 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22GGHDBw4sKLrBwCqSy8CANC1OJMFAF5nt912a/m6Z8+eGTx4cHbdddeWfQ0NDUmSpUuXJknuu+++/PrXv87GG2/csr32h4jXLsPx1FNP5Zhjjsk222yTAQMGZOTIkUmS5557boNzDxs2rNU8SfLYY4/lgx/8YNnWCgB0PnoRAICuxZksAPA6vXv3bvW4UCi02lcoFJKk5fIa69aty+GHH56LLrpovbFe++PE4YcfnhEjRuRb3/pWhg8fnnXr1mX06NFZtWrVBuf+53kAgO5BLwIA0LUIWQCgHfbaa69cf/312XrrrdOr1/q/Vl944YU8+uij+a//+q+8+93vTpLcfvvtHV0mAFCj9CIAANXlcmEA0A6TJk3Kiy++mKOPPjp33313nn766cybNy+f/OQns3bt2my66aYZPHhwrrzyyvzxj3/Mr371q5x55pklzbXjjjvmhhtueNNjHnnkkSxcuDAvvvhimpqasnDhwixcuLCk+QCAzk8vAgBQXc5kATqdpqamNDc3V7uMN1VfX++mnyRJhg8fnt/+9rf53Oc+l0MOOSQrV67MVlttlfe+973p0aNHCoVCrrvuupx22mkZPXp0dthhh1xyySUZN25cm+d6/PHH09TU9KbHvO9978uzzz7b8njPPfdMkhSLxTbPB/wvv5uAzkovAgBQXYWiTifLly/PwIED09TUlAEDBlS7HOi6Xnkl2Xjjf3z9978nG23U5iGamppyyWWXZt3qNWUurrx69O6V0yad4o9ZG/Dqq69m0aJFGTlyZPr27VvtcngTb/a98vux43ivO7du+7upDL/XoVr0Il2HXgQA6OqcyQJ0Ks3NzVm3ek1+tO/WWTagc/4P8WbLX80Rdz2T5uZmIQtAN+B3EwAAABsiZAE6pWUD+qZxUH21ywCAFn43AQAA8M/c+B4AAAAAAKAEQhYAAAAAAIASCFkAAAAAAABKIGQBAAAAAAAogZAFAAAAAACgBJ06ZFmzZk0+//nPZ+TIkenXr1+22WabfPGLX8y6detajikWi5k6dWqGDx+efv36Zdy4cXn44YerWDUAAAAAANAddOqQ5aKLLso3v/nNXHrppXn00Udz8cUX5ytf+Uq+8Y1vtBxz8cUXZ8aMGbn00ktzzz33ZOjQoRk/fnxefvnlKlYOAAAAAADUuk4dstx55535wAc+kMMOOyxbb711PvzhD2fChAm59957k/zjLJaZM2fm3HPPzZFHHpnRo0dn9uzZaW5uzpw5c6pcPQDdwa233ppCoZC//e1v1S4FAOiG9CIAANXVqUOWAw44IL/85S/zxBNPJEl+//vf5/bbb8/73ve+JMmiRYvS2NiYCRMmtLymrq4uY8eOzR133LHBcVeuXJnly5e32gCgFGPGjMmSJUsycODAso99/fXXZ+edd05dXV123nnn3HDDDWWfAwDo2vQiAADV1alDls997nM5+uijs+OOO6Z3797Zc889M3ny5Bx99NFJksbGxiRJQ0NDq9c1NDS0PPdGpk+fnoEDB7ZsI0aMqNwiAKhpffr0ydChQ1MoFMo67p133pmjjjoqxx13XH7/+9/nuOOOy0c/+tH87ne/K+s8AEDXphcBAKiuTh2y/OAHP8h3v/vdzJkzJ/fff39mz56dr371q5k9e3ar4/65mSwWi2/aYE6ZMiVNTU0t2+LFiytSPwBdy7hx43Lqqadm8uTJ2XTTTdPQ0JArr7wyr7zySo4//vj0798/2267bW666aaW1/zzJTquueaabLLJJrnllluy0047ZeONN8573/veLFmypE21zJw5M+PHj8+UKVOy4447ZsqUKTnooIMyc+bMMq4YAOhM9CIAAF1Ppw5ZPvvZz+acc87Jv/3bv2XXXXfNcccdlzPOOCPTp09PkgwdOjRJ1jtrZenSpeud3fJ6dXV1GTBgQKsNAJJk9uzZ2WyzzXL33Xfn1FNPzWc+85l85CMfyZgxY3L//ffnkEMOyXHHHZfm5uYNjtHc3JyvfvWr+c53vpPbbrstzz33XM4666yW51/7Y8gzzzyzwTHuvPPOVpfDTJJDDjnkTS+HCQB0fXoRAICupVOHLM3NzenRo3WJPXv2zLp165IkI0eOzNChQzN//vyW51etWpUFCxZkzJgxHVorALVh9913z+c///mMGjUqU6ZMSb9+/bLZZpvlhBNOyKhRo3LeeeflhRdeyIMPPrjBMVavXp1vfvOb2XvvvbPXXnvllFNOyS9/+cuW5+vr67PDDjukd+/eGxyjsbGxzZfDBAC6Pr0IAEDX0qvaBbyZww8/PF/60pey5ZZbZpdddskDDzyQGTNm5JOf/GSSf1wmbPLkyZk2bVpGjRqVUaNGZdq0aamvr88xxxxT5eoB6Ip22223lq979uyZwYMHZ9ddd23Z99ofG5YuXbrBMerr67Ptttu2PB42bFir49/1rnflsccee8ta2no5TACg69OLAAB0LZ06ZPnGN76RL3zhCzn55JOzdOnSDB8+PCeeeGLOO++8lmPOPvvsrFixIieffHJeeuml7LPPPpk3b1769+9fxcoB6Kr++ROdhUKh1b7X/rDw2lmVb3eMYrHYpjqGDh3a5sthAgBdn14EAKBr6dSXC+vfv39mzpyZZ599NitWrMhTTz2VCy+8MH369Gk5plAoZOrUqVmyZEleffXVLFiwIKNHj65i1QDQfvvtt1+ry2Emybx581wOEwDoEHoRAIC3p1OHLABQi+6+++7suOOO+dOf/rTBY04//fTMmzcvF110UR577LFcdNFF+cUvfpHJkyd3XKEAQE3SiwAAlI+QBQA6WHNzcx5//PGsXr16g8eMGTMm1113XWbNmpXddtst11xzTX7wgx9kn3326cBKAYBapBcBACifTn1PFgDoSLfeeut6+5555pn19r3+mubjxo1r9XjixImZOHFiq+OPOOKIN33Nhnz4wx/Ohz/84bcuHACoCXoRAICux5ksAAAAAAAAJRCyAAAAAAAAlEDIAgAAAAAAUAIhCwAAAAAAQAmELAAAAAAAACUQsgAAAAAAAJSgV7ULADpOU1NTmpubKzZ+obk5Q//n68bGxhTr69s8xrJly8pbFAAAAABAhQhZoJtoamrKJZddmnWr11Rsjt6rVuU//+frq6++Oqv79KnYXAAAAAAA1SZkgW6iubk561avyY/23TrLBvStyBz9Vrya/5z2j6+vOWj7rOjX9nm2XdKUA/+wpMyVAQAAAACUn5AFupllA/qmcVDbL+P1dtQ3/+9tnv6yaX2a69sesgxe/mo5SwIAAAAAqBg3vgeALuDVV1/NxIkTs+uuu6ZXr1454ogjql0SANCN6EUAAN6YkAUAuoC1a9emX79+Oe2003LwwQdXuxwAoJvRiwAAvDEhCwD8j3HjxuXUU0/N5MmTs+mmm6ahoSFXXnllXnnllRx//PHp379/tt1229x0000tr1m7dm0+9alPZeTIkenXr1922GGHfP3rX295/tVXX80uu+ySf//3f2/Zt2jRogwcODDf+ta33nZtG220Ua644oqccMIJGTp0aHkWDAB0KnoRAICuR8gCAK8ze/bsbLbZZrn77rtz6qmn5jOf+Uw+8pGPZMyYMbn//vtzyCGH5Ljjjktzc3OSZN26ddliiy3ywx/+MI888kjOO++8/Od//md++MMfJkn69u2b733ve5k9e3Z+9KMfZe3atTnuuONy4IEH5oQTTmiZt1Ao5JprrqnGkgGATkQvAgDQtQhZAOB1dt9993z+85/PqFGjMmXKlPTr1y+bbbZZTjjhhIwaNSrnnXdeXnjhhTz44INJkt69e+eCCy7IO9/5zowcOTLHHntsJk6c2PKHjSTZY489cuGFF+aEE07IGWeckaeeeirf/va3W827ww47ZODAgR26VgCg89GLAAB0Lb2qXQAAdCa77bZby9c9e/bM4MGDs+uuu7bsa2hoSJIsXbq0Zd83v/nNfPvb386zzz6bFStWZNWqVdljjz1ajfsf//Ef+fGPf5xvfOMbuemmm7LZZpu1ev6xxx6rwGoAgK5GLwIA0LU4kwUAXqd3796tHhcKhVb7CoVCkn9cmiNJfvjDH+aMM87IJz/5ycybNy8LFy7M8ccfn1WrVrUaZ+nSpXn88cfTs2fPPPnkkxVeBQDQVelFAAC6FmeyAEA7/OY3v8mYMWNy8sknt+x76qmn1jvuk5/8ZEaPHp0TTjghn/rUp3LQQQdl55137shSAYAapBcBAKguZ7IAQDtst912uffee3PLLbfkiSeeyBe+8IXcc889rY657LLLcuedd+baa6/NMccckw9/+MM59thjW33CdMcdd8wNN9zwpnM98sgjWbhwYV588cU0NTVl4cKFWbhwYSWWBQB0EXoRAIDqciYLALTDSSedlIULF+aoo45KoVDI0UcfnZNPPjk33XRTkn9c3/yzn/1srrrqqowYMSLJP/7Qsfvuu+cLX/hCLrrooiTJ448/nqampjed633ve1+effbZlsd77rlnkqRYLFZiaQBAF6AXAQCoLiELAPyPW2+9db19zzzzzHr7Xv+HhLq6usyaNSuzZs1qdcz06dOT/ONToc3Nza2eGzBgQBYtWrTBMTfkjWoBAGqHXgQAoOtxuTAAAAAAAIASCFkAAAAAAABKIGQBAAAAAAAogZAFAAAAAACgBEIWAAAAAACAEghZAKiYYrFY7RJ4C+vWrat2CQBQMXqRzk8vAgB0db2qXQAAtad3794pFAr561//ms033zyFQqHaJfFPisViVq1alb/+9a/p0aNH+vTpU+2Suqw1a9Zk6tSp+d73vpfGxsYMGzYsEydOzOc///n06OHzLADVoBfp/PQiAECtELIAUHY9e/bMFltskeeffz7PPPNMtcvhTdTX12fLLbcUBrTDRRddlG9+85uZPXt2dtlll9x77705/vjjM3DgwJx++unVLg+gW9KLdB16EQCgqxOyAFARG2+8cUaNGpXVq1dXuxQ2oGfPnunVq5dP97b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",
       "text/plain": [
-       "<Figure size 2000x2200 with 5 Axes>"
+       "<Figure size 2000x2200 with 6 Axes>"
       ]
      },
      "metadata": {},
@@ -1025,45 +1038,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>496</td>\n",
-       "      <td>505</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>520</td>\n",
+       "      <td>681</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>463</td>\n",
-       "      <td>399</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>527</td>\n",
+       "      <td>573</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>359</td>\n",
-       "      <td>247</td>\n",
+       "      <td>743</td>\n",
+       "      <td>399</td>\n",
+       "      <td>344</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>262</td>\n",
-       "      <td>44</td>\n",
+       "      <td>355</td>\n",
+       "      <td>286</td>\n",
+       "      <td>69</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
+       "      <td>47</td>\n",
        "      <td>42</td>\n",
-       "      <td>37</td>\n",
        "      <td>5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>39</td>\n",
-       "      <td>3</td>\n",
+       "      <td>59</td>\n",
+       "      <td>46</td>\n",
+       "      <td>13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>1656</td>\n",
-       "      <td>1203</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>1820</td>\n",
+       "      <td>1685</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1071,13 +1084,13 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_enamine  rejected_enamine\n",
-       "AP             1001               496               505\n",
-       "FP              862               463               399\n",
-       "SE              606               359               247\n",
-       "GA              306               262                44\n",
-       "B1               42                37                 5\n",
-       "B2               42                39                 3\n",
-       "Total          2859              1656              1203"
+       "AP             1201               520               681\n",
+       "FP             1100               527               573\n",
+       "SE              743               399               344\n",
+       "GA              355               286                69\n",
+       "B1               47                42                 5\n",
+       "B2               59                46                13\n",
+       "Total          3505              1820              1685"
       ]
      },
      "metadata": {},
@@ -1119,45 +1132,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>898</td>\n",
-       "      <td>103</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>1070</td>\n",
+       "      <td>131</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>688</td>\n",
-       "      <td>174</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>858</td>\n",
+       "      <td>242</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>550</td>\n",
-       "      <td>56</td>\n",
+       "      <td>743</td>\n",
+       "      <td>664</td>\n",
+       "      <td>79</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>280</td>\n",
-       "      <td>26</td>\n",
+       "      <td>355</td>\n",
+       "      <td>328</td>\n",
+       "      <td>27</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>32</td>\n",
+       "      <td>47</td>\n",
+       "      <td>37</td>\n",
        "      <td>10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>39</td>\n",
-       "      <td>3</td>\n",
+       "      <td>59</td>\n",
+       "      <td>53</td>\n",
+       "      <td>6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2487</td>\n",
-       "      <td>372</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>3010</td>\n",
+       "      <td>495</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1165,13 +1178,13 @@
       ],
       "text/plain": [
        "       pre_filtered  accepted_syba  rejected_syba\n",
-       "AP             1001            898            103\n",
-       "FP              862            688            174\n",
-       "SE              606            550             56\n",
-       "GA              306            280             26\n",
-       "B1               42             32             10\n",
-       "B2               42             39              3\n",
-       "Total          2859           2487            372"
+       "AP             1201           1070            131\n",
+       "FP             1100            858            242\n",
+       "SE              743            664             79\n",
+       "GA              355            328             27\n",
+       "B1               47             37             10\n",
+       "B2               59             53              6\n",
+       "Total          3505           3010            495"
       ]
      },
      "metadata": {},
@@ -1179,9 +1192,9 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<Figure size 2000x2200 with 5 Axes>"
+       "<Figure size 2000x2200 with 6 Axes>"
       ]
      },
      "metadata": {},
@@ -1215,38 +1228,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>233</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>248</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>174</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>206</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>165</td>\n",
+       "      <td>743</td>\n",
+       "      <td>179</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>100</td>\n",
+       "      <td>355</td>\n",
+       "      <td>114</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>9</td>\n",
+       "      <td>47</td>\n",
+       "      <td>13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
+       "      <td>59</td>\n",
        "      <td>18</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>699</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>778</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1254,22 +1267,22 @@
       ],
       "text/plain": [
        "       pre_filtered  \\\n",
-       "AP             1001   \n",
-       "FP              862   \n",
-       "SE              606   \n",
-       "GA              306   \n",
-       "B1               42   \n",
-       "B2               42   \n",
-       "Total          2859   \n",
+       "AP             1201   \n",
+       "FP             1100   \n",
+       "SE              743   \n",
+       "GA              355   \n",
+       "B1               47   \n",
+       "B2               59   \n",
+       "Total          3505   \n",
        "\n",
        "       number of fragments used for pairwise retrosynthesizability  \n",
-       "AP                                                   233            \n",
-       "FP                                                   174            \n",
-       "SE                                                   165            \n",
-       "GA                                                   100            \n",
-       "B1                                                     9            \n",
+       "AP                                                   248            \n",
+       "FP                                                   206            \n",
+       "SE                                                   179            \n",
+       "GA                                                   114            \n",
+       "B1                                                    13            \n",
        "B2                                                    18            \n",
-       "Total                                                699            "
+       "Total                                                778            "
       ]
      },
      "metadata": {},
@@ -1280,345 +1293,11 @@
      "output_type": "stream",
      "text": [
       "Apply pairwise retrosynthesizability filter..\n",
-      "Number of fragments:  699\n",
-      "Number of unique pairs: 39976\n",
+      "Number of fragments:  778\n",
+      "Number of unique pairs: 46415\n",
       "ASKCOS query started for 0 fragments.\n",
       "ASKCOS query finished.\n",
-      "Comparing ASKCOS children with fragments..\n",
-      "Checking if all fragment pairs were requested..\n",
-      "All fragment pairs were requested.\n",
-      "Done.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>custom_filtered</th>\n",
-       "      <th>accepted_pairwise_retosynthesizability</th>\n",
-       "      <th>rejected_pairwise_retosynthesizability</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>subpocket</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>AP</th>\n",
-       "      <td>233</td>\n",
-       "      <td>105</td>\n",
-       "      <td>128</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>FP</th>\n",
-       "      <td>174</td>\n",
-       "      <td>95</td>\n",
-       "      <td>79</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SE</th>\n",
-       "      <td>165</td>\n",
-       "      <td>91</td>\n",
-       "      <td>74</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>GA</th>\n",
-       "      <td>100</td>\n",
-       "      <td>77</td>\n",
-       "      <td>23</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>B1</th>\n",
-       "      <td>9</td>\n",
-       "      <td>5</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>B2</th>\n",
-       "      <td>18</td>\n",
-       "      <td>5</td>\n",
-       "      <td>13</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Total</th>\n",
-       "      <td>699</td>\n",
-       "      <td>378</td>\n",
-       "      <td>321</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           custom_filtered  accepted_pairwise_retosynthesizability  \\\n",
-       "subpocket                                                            \n",
-       "AP                     233                                     105   \n",
-       "FP                     174                                      95   \n",
-       "SE                     165                                      91   \n",
-       "GA                     100                                      77   \n",
-       "B1                       9                                       5   \n",
-       "B2                      18                                       5   \n",
-       "Total                  699                                     378   \n",
-       "\n",
-       "           rejected_pairwise_retosynthesizability  \n",
-       "subpocket                                          \n",
-       "AP                                            128  \n",
-       "FP                                             79  \n",
-       "SE                                             74  \n",
-       "GA                                             23  \n",
-       "B1                                              4  \n",
-       "B2                                             13  \n",
-       "Total                                         321  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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OHTvk7+9vRbQ8++OPPxQZGenevummm7Rw4UItW7ZMnTt3tsXtmP7OaccFJx4TAE/glH41JCRES5cuveT4smXLFBISko+Jrl6pUqW0ZcuWS45v3bpVpUqVysdEV8dp9UjOq8nf318HDx685PihQ4ds1985qf8+z2k1UQ+Ay3FCr+rl5SU/Pz+VLFnSvS8gIEBHjhyxLtQVREdHa9KkSZKkunXrauHChdnGFyxY4FG3Uy5ZsqSOHTvm3j558qTOnj0rHx8fSX9dw0pLS7MqXq4cOXIkW//o6+urr7/+WuHh4WrWrJn27dtnYbqLO//77fDhw4qIiMg2FhERYZs/+zJlyrivb+7Zs0dnz57Vzp073eM7duxQ6dKlrYp3gTJlymjs2LFKTU294LVt2zZ9++23VkfMse+//1533nmnGjRoYKvc3t7euvfeezV79mzt2LFDffr00ddff60aNWqoadOmVsfLsQLZv1o964+8KVu2rPnhhx8uOT5//nxTtmzZfEyUd3/88YcJDw83TZs2NQMGDDD+/v6mSZMmpmfPnqZp06bGx8fHzJ492+qYOVa1atWL5j127Jhp1KiRqV27tm2+CWaMMe3atTOtW7c2S5YsMY8//ripX7++adWqlTl+/Lg5ceKEue+++8xdd91ldcw8+e6770y5cuXMsGHD3N8O9sRvuF3JI488YmrVqmVWrFhxwdiKFStMnTp1TOfOnS1IljfffvutKV26tElISDAJCQkmPDzcjBs3zvz000/m008/NeXLlzcDBw60OmauREREmPnz51+w/48//jBVqlQxzZs357jgAZxyTAA8hVP61Q8++MD4+PiYPn36mBkzZphly5aZ5cuXmxkzZpg+ffoYX19fM2bMGKtj5srLL79sSpQoYd566y2TkpJi0tLSTHp6uklJSTFvvfWWKVWqlHnllVesjpljTqvHGOfV1LdvX1O+fHkzZcoUc/jwYff+w4cPmylTppgKFSqYfv36WZgwd5zWfxvjvJqoB8CV2LVXrVWrlvn+++/d22vXrjVnzpxxby9evNhERERYES1HNmzYYMqUKWO6dOliXnvtNVOsWDHzyCOPmKFDh5ouXboYX19fk5CQYHVMt65du5ro6GizceNGs23bNvPggw9mu/39woULTfny5S1MmHM333yz+frrry/Yf+bMGdO+fXtToUIFj7o25XK5zN13323uueceU6pUKfPdd99lG1+2bJlH39Xh7/r06WMqV65sXn/9dXPrrbearl27mmrVqpnvv//ezJkzx9x8880edav8li1bmtdee+2S4ykpKR71KIKcSElJMTVq1DCPP/64OXHihMde8/Py8rpgVf7fzZ8/33Tq1CkfE+VdQe1fmXS3qaJFi15w+52/W716ta1uz3fo0CHz/PPPmxo1ahg/Pz/j4+NjwsLCTKdOnS76l9KTPfXUU+a+++676NjRo0dNw4YNPaqBuZLNmzebSpUqGZfLZWrWrGn++OMP07ZtW+Pt7W28vb3NDTfckO02VnaTnp5u4uLiTJMmTTz2l+2VHDp0yNx1113G5XKZUqVKmapVq5pq1aqZUqVKGS8vLxMXF2cOHTpkdcxc+frrr025cuUuuJWRn5+f6d+/v+2eY/PYY49dsnnevXu3qVSpEscFD+GEYwLgKZzUr06ePNk0bNjQeHt7u38neXt7m4YNG5ovv/zS6nh5MmLECBMSEuK+NeD537khISHmjTfesDperjmtHmOcVVNGRobp3bu38fHxMV5eXsbPz8/4+fkZLy8v4+PjY5544omLPr/eUzmx/3ZaTdQD4Ers2quOGTPmgtts/92LL75oHnvssXxMlHtbt241HTt2NAEBAe7eunDhwiYqKspMnz7d6njZ7N2719x2223ufiw8PDzbYxCnTJli3nvvPQsT5tygQYNMbGzsRcfOnDlj2rZt61HXprp165bt9dVXX2Ubf+6550zLli0tSpc7x48fNz169DCRkZGmd+/eJjMz07z11lvuR1rExMRcdqI1v02bNs3897//veT4wYMHzWeffZaPia6NkydPml69epnKlSubQoUKeeQ1v78/VsHuCmr/6jLGGKtX2yP32rRpo1OnTul///ufgoKCso3t3btXnTt3lp+fn2bOnGlRwoLr0KFD2rNnj2rWrHnR8ePHjys5OVnR0dH5nOzqHDhwQGXKlHFv//DDDzp16pQaNWqUbb9dvffee1qwYIHef/99lStXzuo4ebJx40YtX75c6enpkv66NXujRo1UrVo1i5Plzblz57Rq1Spt27ZNWVlZCgkJUb169RQQEGB1tFzbsWOHfvvtN7Vs2fKi42lpaZo3b566du2az8mujpOPC044JgBWc2K/eubMGe3fv1+SVLZsWVs9SuNSUlNTs/UO/7xto904rR7JWTUdPXpUK1eu1N69eyX9VU+9evVUvHhxi5PlzW+//aZly5Y5pv+WnFeT0+px2jkfYCUn9qp2Y4zRvn37lJWV5fG99ZYtW5SRkaFq1arJ29vb6jh5cvbsWZ08efKSfde5c+e0e/du2zxe78SJEypUqJD8/PysjpJnp0+f1pkzZ2x5rdPOZs6cqQULFmjw4MEKDAy0Ok42SUlJaty4sW2PMxdT0PpXJt1tateuXbr77rv122+/KTIyUkFBQXK5XEpPT9e6detUo0YNzZ492/YTBcYY5z7bAQAAwMEKSr/qJPTeAACgoKBXBQAA15qX1QGQN+XLl9eaNWs0c+ZMtW3bVmFhYapQoYLatm2rWbNmafXq1bZpCjMyMvTss88qOjpab731liTp9ddfV9GiRVWsWDF16tRJR48etThlzr399tvasWOH1TGuq5SUFE2ZMkVLliyRk763c8cdd9j2Z2eMUWpqqs6ePStJyszM1JdffqnPP//cvSLPKQ4dOqTPP//c6hi5ZoxRYmKiXnnlFT3xxBN68skn9corr2j+/Pm2/Hu0Zs0aJSQkKDU1VZK0fv16Pfnkk+rdu7fmzp1rcbrcmTp1qk6ePGl1DMBxnNSvpqWl6YsvvtB3332nzMzMbGMnTpzQq6++alGya8vX11cbN260OkaurV692v37SJK++OILNW7cWOXLl1eTJk00efJkC9Pl3fvvv6+uXbvqq6++kiT997//VY0aNVStWjW9+OKL7r7PLk6cOKGxY8fq0UcfVVxcnO6++249+uijGjdunE6cOGF1vDzJysq65P6dO3fmc5rrw67nSBkZGTpz5ox7+/fff9eQIUPUuXNn/etf/8p2zLALJ/XfgCdwUq/6d7///rvuuOMOq2Nc1qlTp7RkyRJt2LDhgrHTp0973DWfjRs3KiEhQb/99pukv+6i8sQTT6h79+768ccfLU6Xd4cOHdKoUaPUp08fvf7669q1a5fVkbJxUo//1FNPafHixVbHyJW0tDS99NJLuuOOO1S9enVFRkaqTZs2Gj9+vM6dO2d1vFxx0nmI3a6LF6Q5i/NY6W5Dv/76qyIjI+XllbPvTKxfv15Vq1b12FtSDBgwQF9++aUeeughfffdd7rjjjs0a9YsDRs2TF5eXnrppZcUFxen9957z+qoOeLl5SUvLy81a9ZMPXr00D333CMfHx+rY+VZp06d9PHHHysgIEDHjx/Xvffeq8TERBUuXFhnzpxRvXr1lJiYqJIlS1odNccudWuwDh066N1331X58uUlSW3bts3PWHm2adMmtWzZUrt27VLFihU1b9483X///frtt99kjFGRIkW0dOlSVa5c2eqo18SaNWt0yy232KrB++OPP9S6dWutXbvW/Q3687dRW7dunWrXrq2ZM2fqxhtvtDpqjkydOlUPPvigSpYsqczMTE2fPl333Xef6tevr0KFCmn+/Pn6/PPP1alTJ6uj5oiXl5eKFSumjh076rHHHlPDhg2tjgTYnpP61RUrVig2NlZZWVk6c+aMypUrp+nTp7sfJbR3716Fhoba6vfSgAEDLrr/3Xff1SOPPOJ+RMjIkSPzM1ae3XLLLXr77bfVrFkzjRs3Tv369VPPnj1VvXp1bdq0SePGjdO7776r7t27Wx01x1577TW99dZbio2N1U8//aT+/fvrrbfe0jPPPCMvLy+98847euKJJ/TKK69YHTVHNmzYoBYtWujkyZOKjo7O1gslJSWpaNGimjdvnmrUqGF11Bw5evSoevTooVmzZql48eLq3bu3XnrpJRUqVEiSPY8LTjtHuuOOO9S3b1916NBBP/30k+68805VrVpV1atX1+bNm7Vp0ybNnz9fjRo1sjpqjjit/was5qRe9Z88/ZrJ5s2bFRsbq507d8rlcun222/XpEmTFBISIsnzfofOmTNH7dq1U7FixXTy5ElNnz5dXbp0Ue3atWWMUVJSkubOnevxX3SQpNDQUK1du1ZlypRRamqqoqKiJEk333yzNm7cqGPHjmn58uUec8tnJ/X4Xl5ecrlcuummm/TYY4+pa9euCg4OtjrWJa1cuVLNmzdXRESE/P399fPPP+vhhx9WZmam5s6dq+rVq2vu3Lm2uC2+085DPP0Y/3cFbc7CLX8fIY9rwcvLy+zbty/H7w8ICDC///77dUx0dcqXL28SExONMcb8/vvvxsvLy8yYMcM9Pm/ePBMWFmZRutxzuVwmISHBtGvXzhQuXNiUKVPGPP3002bt2rVWR8sTLy8vs3fvXmOMMc8995yJiIgwycnJxhhj1q5da6pXr26eeeYZKyPmmsvlMl5eXsblcl3y5eXlZXXMHGvXrp1p27at+fXXX03//v1NjRo1TLt27UxmZqbJyMgw7dq1M4888ojVMXPsyJEjl30tXrzYVj8fY4xp27atueOOO8yePXsuGNuzZ4+54447TLt27fI/WB7dcsst5vXXXzfGGDNp0iRTsmRJ8+qrr7rH//Of/5g6depYFS/XXC6XefXVV03dunWNy+UyNWvWNO+8847Zv3+/1dEA23JSv9q8eXPTvXt3c+7cOXP06FHz5JNPmjJlyphVq1YZY4xJT0+33e8ll8tl6tSpY2JiYrK9XC6XadCggYmJiTHNmjWzOmaOFSlSxOzYscMYY0zdunXNxx9/nG38f//7n6lRo4YV0fKsYsWKZurUqcYYY1JSUkyhQoXMF1984R6fNm2aqVSpklXxci0mJsZ07NjRZGRkXDCWkZFhHnroIRMTE2NBsrzp16+fqVKlipkyZYoZO3asCQsLM61atXLXl56eblwul8Upc8dp50glS5Y0W7duNcYYEx0dfcE567/+9S/TuHFjK6LlidP6b8Bqdu5V33333cu+Bg0a5NHH6/bt25vWrVubP//802zZssW0adPGREREuHs5T+utGzVqZIYMGWKM+ev4W6pUKfPiiy+6x1988UXTokULq+Llisvlcl/j7dixo4mJiTEnTpwwxhhz+vRp07p1a3PfffdZGTEbJ/X4LpfLzJ8/3zz99NOmbNmypnDhwqZt27Zm1qxZ5ty5c1bHu0Djxo1NfHy8e/u///2vadiwoTHGmIMHD5o6deqYfv36WRUvV+x2HuKk6+JOm7PIKVa625CXl5cef/xxFSlSJEfv//DDD7VhwwZVrFjxOifLmyJFiui3335ThQoVJEk+Pj5avXq1e/XQ9u3bVbNmTdvc6sPLy0vp6ekKDAzUvn379NlnnykhIUGbN29WvXr11LNnT3Xs2NEW3wSTstcTGRmpl156SQ888IB7/LvvvlP//v21efNmC1PmTlxcnAoVKqRPP/1UgYGB7v2FCxfWmjVrbPPNtvMCAwM1b9481alTRydOnFBAQIAWLVqkJk2aSJKWLVumjh072ua2kOe//Xkp5v+eN2uHb/SdV6xYMf3000+qXbv2RcdXr16t22+/XcePH8/nZHlTrFgxrVu3TuHh4TLGyNfXV8nJybr55pslSdu2bVPt2rV17Ngxi5PmzN+Pc8nJyRo/frwmTZqkU6dOqW3bturZs6datGhhdUzAVpzUr5YuXVrLly9XlSpV3PvefPNNjRgxQnPnzlWFChU8ajVOTgwfPlxjx47VuHHjsq3KsWsvVLZsWc2dO1f16tVTUFCQ5s2bl+137u+//66bb77ZVo8SudI50o4dO1SjRg3bnCMVKVJEK1euvORna926dbr11ltt8zMKCwvThAkTFBMTI0k6cOCAWrVqpRIlSmjmzJk6fPiw7Y4LTjtHKlasmFauXKlq1aopODhYc+fOveC4UKdOHdv0q07rvwGr2blX9fLyUkhIyCXvqpmZman09HSP/R0UFBSk+fPnu49fktSnTx99++23WrBggYoWLepRv0NLlCih5ORkVapUSVlZWfL19dXPP/+sW265RdJfPUzz5s2Vnp5ucdIr+/u1j4oVK15wLvDzzz/rvvvu85jbzDupx//7n/2ZM2c0ffp0ffrpp5o/f76CgoLUrVs3Pfroo6pUqZLVUSX91buvW7fOfczLysqSn5+fdu3apaCgICUmJqpbt276448/LE56ZXY7D3HSdXGnzVnklOffEwcXaNq0qTZt2pTj9zdq1Ej+/v7XMdHVqVChgpYtW6YKFSpoxYoVcrlc+uWXX9wXlH7++Wfb3HL5nwIDAzVo0CANGjRIixcv1vjx4/XMM8/omWeesc3kmiT3gX7v3r2KjIzMNlazZk2PacZy6vvvv9c777yjBg0a6IMPPlDr1q2tjnRVjh8/rtKlS0uSihYtqqJFi7pvyyVJ5cqV0969e62Kl2sBAQEaMmTIJW/xvWXLFvXq1SufU10df39/HTx48JLjhw4d8ujj9D8FBATowIEDCg8P1+HDh3X27FkdOHDAPX7gwAEVK1bMwoR5V69ePdWrV08jR47UlClT9Omnn+quu+5S+fLltX37dqvjAbbhtH719OnT2bYHDRokLy8vxcbG6tNPP7UoVd4NHjxYzZs31yOPPKI2bdpo+PDhKly4sNWx8iwuLk5jxozRuHHjFB0dra+//jrbBbmvvvrKYy5g5VRwcLA2bNigChUqaMuWLTp37pw2bNjgPkdav359tolRT1eqVClt2bLlkhe7tm7dqlKlSuVzqrzbv3+/wsLC3NtlypRRYmKiWrZsqbvvvlvjxo2zMF3eOO0cqWHDhpo1a5aqVaumm266SWvWrMl2XEhJSXGfQ9mBk/tvwAp27lXDwsL0xhtvZFsQ83cpKSmqV69ePqfKuVOnTl1wm/4PPvhAXl5eio6O1sSJEy1KdmVeXl7y8/PL9ojNgIAAHTlyxLpQuXT+Gm9GRoaCgoKyjQUFBenPP/+0ItZFObHHl/76QuMDDzygBx54QDt37tSnn36qzz77TCNGjPCYidTAwEClpaW5J9337t2rs2fPqnjx4pKkypUrX/Y6pyex23mIk66LO23OIqeYdLehhQsXWh3hmurdu7e6deumcePGKTk5WW+//bZefPFF/fbbb/Ly8tKYMWP07LPPWh0zxy71TaTbb79dt99+u9577z19+eWX+Zzq6vz73/9WkSJF3N/K+/svqf3799vy5P6ZZ57RHXfcoU6dOmnWrFl65513rI6UZ6Ghodq5c6d7JdSbb76Z7SLsn3/+6VHNw5Wc/7ZwdHT0RcdLliwpu92kpWPHjuratatGjhypFi1aqESJEpKkI0eOKDExUc8++6ytnr/YvHlz9enTR0899ZS+/PJLtWzZUoMHD1ZCQoJcLpcGDhzo/taiHVzsuO3n56fOnTurc+fO2rp1qxISEixIBtiXk/rVyMhILV26VLVq1cq2/7nnnpMxRg899JBFya5OgwYNlJycrD59+qh+/fr64osvLvuNek/2xhtvqHHjxoqOjlb9+vX19ttva+HChe7nPS5fvlzTp0+3OmaudOrUSV26dFG7du30ww8/6Pnnn9dzzz2nAwcOyOVyaejQobrvvvusjpljPXv2VNeuXfWvf/1LLVq0UFBQkFwul9LT05WYmKhhw4apf//+VsfMsfLly2vjxo2KiIhw7wsICNC8efMUGxure+65x8J0eeekc6TXX39dcXFxOnHihB566CE9++yz2rJli/u48N5772nw4MFWx8wxp/XfgNXs3KvWq1dPycnJl5x0d7lcHn3NpFq1alq5cqWqV6+ebf/7778vY4zatm1rUbKLCw8P19atW92Tu+cXjp23a9eubJNInu7OO++Ut7e3jh49qs2bN7u/0ClJO3fuVNmyZS1Ml50Te/x/qlChguLj4/Xyyy9r/vz5Vsdxa9++vXr37q233npLvr6+eu211xQdHe3+8tGmTZtss0jSbuchTrou7rQ5ixyz6Lb2QDZffPGF6du3r5k8ebIxxpgFCxaY22+/3dSrV8/Ex8d75LNNLuXvz8dxgujo6GzP+hw3bly28VdffdVER0dbE+4aOHnypOnVq5epXLmyKVSokFm/fr3VkXKtV69eZuzYsZccHz58uLn77rvzMdHV+eSTT8y77757yfH09PRszxWyg4yMDNO7d2/j4+NjvLy8jJ+fn/Hz8zNeXl7Gx8fHPPHEExd9tpCnSk9PN82bNzfFihUzcXFx5siRI6Zv377uZ31WrlzZ/QxNO3DacRvAtTV27NjLPmfsjTfeMOHh4fmY6NqbNGmSCQoKMl5eXrbshYwx5tChQ+b55583NWrUMH5+fsbHx8eEhYWZTp06mRUrVlgdL9fOnj1rXn/9ddO6dWszYsQIY8xfP6fy5cubMmXKmG7dupnjx49bnDJ3RowYYUJCQtz9wvnnh4eEhJg33njD6ni58tRTT13ymadHjx41DRs2tM2zFi/GCedIxhizdOlSc9ttt13wbPobb7zRjBo1yup4ueK0/htA3q1fv/6yvU1mZqbZvn17PibKnWHDhpm4uLhLjj/xxBPG5XLlY6LLGzNmjPn2228vOf7iiy+axx57LB8T5V18fHy215w5c7KNP/fcc6Zjx44Wpbs4p/T44eHhZv/+/VbHyLFjx46ZBx54wHh7exuXy2WioqLMtm3b3ONz5841X331lYUJc8dO5yFOui7utDmLnOKZ7gCuyrZt2+Tj46Ny5cpZHeWqzJw5UwsWLNDgwYNtdavOnEhNTZWfn5+tvnnrVEePHlVycrL7WV/BwcGqV6+e+/ZMdvf777/r1KlTqlat2gW3i/NkO3bsUIUKFWy7whMAroXdu3crOTlZzZs3V9GiRa2OAwdLTU3N1gv9fbW4XRw6dEh79uzJtjrs744fP67k5ORLrlCxC6ecI/3555/atm2bsrKyFBISovDwcKsjXTPbtm3TyZMnbdd/AwAAz3f69GmdPXvWlne5vRgnnIc4iVPnLJh0BwAAAAAAAAAAAAAgj7ysDgAUNLt27VL37t2tjpFru3fv1vHjxy/Yf+bMGS1atMiCRFfnwIEDWrBggQ4ePCjpr2fTv/HGG3r11Ve1ceNGi9NdGxUrVtSWLVusjnHVzpw5oxkzZuitt97SF198oRMnTlgdKdd2796t/fv3u7cXL16shx9+WLfffrseeeQRLVu2zMJ0uee0et5++23t2LHD6hgAABRYdj1HupS9e/fq1VdftTrGNeW0mqgHAAAAdjsPcVLP56Ra/o6V7kA+W7NmjW655RadO3fO6ig5kpaWpnbt2ik5OVkul0sPP/ywPvjgA/dtZfbu3avQ0FDb1CNJv/zyi2JjY3X06FGVLFlSiYmJuv/+++Xt7S1jjP744w8tWbJEt9xyi9VRc+S999676P4BAwZo0KBBCg4OliT169cvP2PlWVRUlL777juVLFlSf/75p+68805t2rRJYWFh2rVrlwIDA7V06VLdeOONVkfNsaioKP373/9WXFycvvnmG3Xo0EGtW7dW9erVtXnzZn377beaNm2aWrdubXXUHHFaPV5eXvLy8lKzZs3Uo0cP3XPPPfLx8bE6FgAABYbdzpGuxGn1SM6riXoAAABgtx7Kbnkvx0m1/B0PfAKusZkzZ152fNu2bfmU5Np44YUXVKhQIf388886fPiwBg8erJiYGCUmJqpUqVKSJLt9d2fIkCG6//77NXLkSH388cdq37697rrrLo0dO1aS1KNHD7322muaPn26xUlzpn///rrxxhsveIZfVlaWPv/8cxUuXFgul8s2k+7Lly9XZmampL9+VoUKFdKOHTsUHBysAwcOqG3btnrppZc0fvx4i5Pm3Lp161S9enVJ0vDhwzVs2DA9//zz7vHRo0frpZdess0ktdPqkaRx48ZpxowZ6ty5s4oXL65HHnlEPXr0UGRkpNXRAACwPaedI/3666+XHd+0aVM+Jbl2nFYT9QAAAMBu5yFO6vmcVEtusNIduMa8vLzkcrkuOxHtcrls8w2eG2+8UdOnT9ett94qScrIyNCDDz6oHTt26IcfftCZM2dst9K9dOnS+umnn1S9enWdOXNGfn5+WrZsmbvG1atXq02bNtq9e7fFSXOmV69e+uWXXzRx4kT3RKgkFS5cWGvWrFGNGjUsTJd7Xl5eSk9PV2BgoKpWraqRI0eqVatW7vGFCxfq0UcfVWpqqoUpc6dkyZJatGiRatWqpaCgICUmJqpWrVru8d9//121atWyza3znVbP3z9z+/bt02effaaEhARt3rxZ9erVU8+ePdWxY0cFBARYHRUAAFty2jnS5eo5v99O9UjOq4l6AAAAYLfzECf1fE6qJTd4pjts4fPPP9fvv/9udYwcCQkJ0dSpU5WVlXXR16pVq6yOmCtHjhxxr2iXJF9fX3399dcKDw9Xs2bNtG/fPgvT5U1mZqb8/f0l/TUxXaRIEZUtW9Y9XqZMGR04cMCqeLn28ccf6+WXX1bLli01evRoq+NcEy6XS5J0+PBhRUREZBuLiIhQWlqaFbHyLDo6WpMmTZIk1a1bVwsXLsw2vmDBAlvdLt9p9fxdYGCgBg0apI0bN2rhwoWqUaOGnnnmGYWEhFgdDYAHs1OvmlOLFi3SkSNHrI5xzTitHsleNTntHKlMmTIaO3asUlNTL3ht27ZN3377rdURc81pNVEPgILM7r2pnXocyX55L8dutdgt7+XYrRa75LXbeYiTej4n1ZIb3F4ettCtWzcVLlxYjz/+uN5//32r41xWvXr1tGrVKrVv3/6i41f6ZpWnqVixon799VdVrlzZvc/b21tTpkzR/fffb6vbR59Xvnx5bdu2TeHh4ZKkyZMnZ5tQS0tLyzYJbwft27dXgwYN1KVLF82ePVsJCQlWR7oq3bp1k6+vr86cOaMdO3ZkW62flpamkiVLWhcuD0aMGKHbb79de/bsUZMmTTRkyBCtWLFC1atX16ZNm/Tll1/qo48+sjpmjjmtnvNf8vin22+/Xbfffrvee+89ffnll/mcCoCd2KlXzamYmBiVKlVKL774op599lmr41w1p9Uj2asmp50j1atXT3v27FFYWNhFxw8fPmyreiTn1UQ9AAoyu/emdupxJPvlvRy71WK3vJdjt1rsktdu5yFO6vmcVEtuMOkOW8jKytL27ds1d+5cq6Nc0cCBAy97S+VKlSppwYIF+Zjo6sTFxemTTz7Rvffem23/+Yn3e++91za3YT+vY8eO2Vbo//3W5dJfz3o5f6t5O7nxxhs1f/58jRgxQnXr1rXtL62uXbu6/3+7du10/PjxbONTp05VnTp18jnV1alevbp+/vln/etf/9Kbb76pEydO6H//+5+8vb3VoEEDTZ48+ZLNnydyWj1X+rtSvHhx9ezZM5/SALAjO/WqOXX+G+hOqclp9Uj2qslp50i9evW6bD0VKlSw3ZdgnVYT9QAoyOzem9qpx5Hsl/dy7FaL3fJejt1qsUteu52HOKnnc1ItucEz3QFc1tmzZ3Xy5EkVL178ouPnzp3T7t27L/mNJTs6efKkChUqJF9fX6uj5FlycrKWLFmiLl26ZHs8gBOcOHFChQoVkp+fn9VR8sQYo3379ikrK0tly5ZV4cKFrY50VZxWDwAAAAAAAAAAucWkOzzG8ePHlZycrPT0dLlcLgUFBalevXoqVqyY1dEAAABQwDm1V92xY0e2muz+RUqn1SM5syYAAHB1nNabGmNkjJGXl5fVUa5oy5Yt2rlzp8LCwlSpUiWr4+TJzp07lZaWpkKFCik8PNx2j9lE/jh37pwKFSrk3v7ll1+UlZWlunXr2nqxGnA9ef5vMTje2bNn9fTTTyswMFDNmjVT165d1blzZzVr1kyBgYHq37+/zpw5Y3VMAAAAFEBO7VXfeecdlS9fXhUrVlSjRo102223qWLFiipfvrxGjRpldbxcc1o9kjNrAgAAV8fuvenZs2f1r3/9S9HR0Xr55ZclSW+99ZaKFSsmf39/de3aVZmZmRan/P9GjBihH3/8UZJ06NAhNW/eXFWrVlWLFi1UtWpVxcXF6fDhw9aGzIUPP/xQYWFhioiIUFRUlBo2bKigoCA1adJEycnJVse7wOzZs9WjRw8NGjRIv/32W7axQ4cO6Y477rAoWe7MmzdPZ8+edW9PnDhRderUUdGiRVWpUiW99957Fqa70Pbt21WvXj35+vqqVatWOnr0qFq0aKHbbrtNUVFRqlGjhjZv3mx1TMAjMekOyz377LOaOnWqEhISdPDgQZ0+fVoZGRk6ePCgEhISNG3aNA0cONDqmAAAACiAnNirvvbaa4qPj1ffvn2VnJysP/74Q7t371ZycrL69u2r+Ph4vf7661bHzDGn1SM5syYAAHD17N6bvvLKKxo3bpzq16+vr7/+Wk888YTef/99ffLJJxo3bpx+/PFHj/py4ZgxY9yrwAcNGqSDBw8qOTlZJ0+e1KpVq3T48GE999xzFqfMmf/85z96/fXXNWDAAH344YeqWrWq4uPjNXv2bFWsWFFNmzbVypUrrY7pNnHiRLVr107p6elatmyZ6tatq//973/u8czMTCUlJVmYMOfi4uJ08OBBSdLUqVPVpUsXNW3aVGPHjlX79u01aNAgTZo0yeKU/99zzz2ngIAAzZgxQ8WKFdPdd9+ts2fPateuXfrjjz9UuXJlPf/881bHBDyTASxWtmxZ88MPP1xyfP78+aZs2bL5mAgAAAD4ixN71XLlypnp06dfcnzatGkmNDQ0/wJdJafVY4wzawIAAFfP7r1pxYoVzaxZs4wxxmzZssV4eXmZyZMnu8e/+uorExkZaVW8C/j6+prt27cbY4wJDw83SUlJ2cZXrlxpQkJCrIiWa+Hh4ea7775zb2/atMmUKVPGnDlzxhhjTL9+/UyLFi2sineBunXrmvfee8+9PWXKFFOsWDEzbtw4Y4wx6enpxsvLy6p4ueJyuczevXuNMcY0btzYvPTSS9nG33rrLdOgQQMrol3UDTfcYFavXm2MMebw4cPG5XKZxYsXu8eTk5NNUFCQRekAz8ZKd1ju1KlTl31uTJkyZXTq1Kl8TAQAAAD8xYm96oEDB1S1atVLjlepUkWHDh3Kx0RXx2n1SM6sCQAAXD2796Z79uxR7dq1JUmVKlWSj4+Pe1uS6tevrx07dlgV7wJhYWFat26dJMnlcsnb2zvbeKFChXTixAkrouXavn37VL16dfd25cqVdeTIEf3555+SpO7du2vZsmVWxbvA5s2b1bp1a/f2fffdp1mzZumZZ57RRx99ZGGyq7Nlyxa1a9cu2762bdt61O3aT58+rRIlSkiSAgICVKhQIQUEBLjHixcvrpMnT1oVD/BoTLrDcs2aNdOAAQO0d+/eC8b27t2rQYMG2eb5LDm1aNEiHTlyxOoY18zOnTt17tw5q2NcU06riXo8n9Nqoh4ATuHEXvXWW2/V0KFDsz1X8LyzZ89q2LBhuvXWWy1IljdOq0dyZk1XwjmS53NaTdQDwI7s3puWKFEi2zPQb7nllmyTeRkZGXK5XBYku7iePXtq4MCB2rp1q/r27avnnntOv//+uyQpNTVVzzzzjGJjYy1OmTNVqlRRYmKie3vBggXy8fFRcHCwJMnPz8+j/uyLFy9+wec8JiZGs2bN0sCBA/X+++9blCxvNmzYoF9//VX+/v7KysrKNpaVleVRv8Nr1qypTz/9VJI0YcIElSlTRpMnT3aPT5o0SVWqVLEq3jVnt/MQJ/V8TqrFzeql9sDOnTtNZGSk8fb2NnXq1DEtW7Y0d911l6lTp47x9vY2tWrVMrt27bI65jXlcrlM6dKlzX/+8x+ro1wTLpfLVKlSxUydOtXqKNeM02qiHs/ntJqoB4BTOLFX/fXXX01wcLApVaqUad++venVq5fp3bu3ad++vSldurQJCQkx69atszpmjjmtHmOcWdOVcI7k+ZxWE/UAsCO796bNmjUzn3322SXHv/rqK1OvXr18THRlTz31lClcuLCpVq2a8fPzM15eXsbHx8d4eXmZ+vXrm7S0NKsj5siXX35pChcubB544AHTpUsXU6xYMfPCCy+4xz/66CPTqFEjCxNm165duwtuw37eggULTNGiRW11e3kvLy/jcrmMy+Uyo0aNyjY+ceJEU6NGDYvSXWjOnDnGz8/P+Pj4GH9/f7No0SJTpUoV06BBA3PbbbeZQoUKmS+//NLqmNeM3c5DnNTzOamW81zGGGP1xD+QlZWluXPnavny5UpPT5ckBQcHq1GjRoqNjZWXl7NuyrBjxw6lpqZq7ty5Gj58uNVxrlpSUpJSU1M1b948TZw40eo414TTaqIez+e0mqgHgJM4sVc9duyYvvjii4vW1KlTJxUvXtzihLnjtHokZ9Z0OZwjeT6n1UQ9AOzKzr3p5s2bVbhwYUVERFx0fOLEifL29tYDDzyQz8kub+PGjfr222+1bds2ZWVlKSQkRI0bN1bz5s09anX4lXz//ff64osvlJGRoZYtW6pnz57usQMHDkj66xEFniApKUlLly7V4MGDLzq+cOFCTZgwQQkJCfmcLPf++ciEYsWKZftz/vzzzyVJXbp0yddcl5OamqpVq1apfv36CgsL0969e/XBBx/o5MmTatWqlZo1a2Z1xGvGbuchTur5nFTLeUy6AwAAAAAAAAAAAACQR577tTcUCDt37szV+//444/rlOT62rJli3744Qdt3brV6ii4jL1797q/IewECxcu1KlTp6yOcVXOnTunvXv3at++fY57vktGRoZ+//13ZWRkWB0Fl+C0YwKA3CsovapTvfLKK9q/f7/VMa6Js2fPKjExUePHj9cPP/xg675ox44d+vnnn/XLL79csOrHjpzYrzqtJuoB4BQFoTc9e/ZsruvE1dm7d6+t/sz//PNPnTlzxuoYV+Xvvf38+fM97ve5U86hnMQJ1/kLCibdYakGDRqoZ8+e+uWXXy75niNHjmjs2LGKjIzUtGnT8jFd3owYMUI//vijJOnQoUNq3ry5qlatqhYtWqhq1aqKi4vT4cOHrQ2ZS2vWrNHrr7+uDz/88IJfukePHlX37t0tSpY3Bw8e1L333quwsDD16dNH586dU48ePRQSEqIbb7xRUVFRSktLszrmVYuNjdX27dutjpEn06dPV+PGjVWkSBGFhoYqJCRERYoUUePGjTVjxgyr4+XaZ599puXLl0uSTp8+rR49eqho0aKqUqWKihUrpt69e9tu8t1Jx4WCckwAkHtO7FXP+/DDD9W8eXM98MAD7t71vP3796tixYoWJcu9o0ePXvA6cuSIhg4dqm3btrn32Um/fv00e/ZsSdLu3bt18803Ky4uTkOGDFHLli1Vt25d211If+edd1S+fHlVrFhRjRo10m233aaKFSuqfPnyGjVqlNXxcs1p/arkvJqoB4DTOLk3PW/9+vWXvPW8VZzSNx87dkyPPPKIwsLC1LVrV2VmZqpPnz4KCQlRRESEoqOjPapn/uSTT9zXyowxGjZsmEqVKqXg4GCVLFlSAwYMUFZWlsUpc+Zyvf1dd93lcb19UFCQ7rzzTk2cONF21ytza82aNSpUqJDVMa7Ijtf5b775Zr322mvatWuX1VHyl6VPlEeBd+DAAfPss8+aUqVKmcDAQHP33XebHj16mL59+5qHH37Y1K1b1/j4+JioqCjz3XffWR03RypUqGDWrFljjDGmR48epm7dumbVqlXm1KlTJiUlxdx2223mscceszhlzs2dO9f4+PiYmjVrmgoVKpiyZcuaH3/80T2enp5uvLy8LEyYe48++qiJjIw077//vomOjjbt27c3tWrVMkuWLDFLly41DRo0MF26dLE6Zo7VrVv3oi+Xy2WqV6/u3raLjz76yPj4+JjevXub6dOnm6VLl5qffvrJTJ8+3fTu3dv4+vqaTz75xOqYuVKpUiWzYsUKY4wxzz33nAkPDzfTpk0zGzduNDNmzDBVqlQxAwcOtDhlzjntuOC0YwKAa8eJvaoxxrz77rumSJEipk+fPuaRRx4xvr6+ZtiwYe5xux3Hvby8LvpyuVzZ/tdOQkJCzIYNG4wxxjzwwAOmefPm5s8//zTG/PW5bN26tbnvvvusjJgrr776qilevLgZMWKEWb16tdmzZ4/5448/zOrVq82IESNMiRIlzGuvvWZ1zBxzYr/qtJqoB4ATObU3/buUlBSP6tuc1Df37dvXVKtWzbz33nsmJibGtGvXzkRGRpolS5aYRYsWmcjISPPiiy9aHdPNy8vL7N271xjz1+/BokWLmrffftv89NNP5v333zclSpQw77//vsUpc8Zuvb3L5TJ33XWX8fHxMaVKlTJ9+/Y1q1evtjrWdZGSkmJcLpfVMdycdJ3f5XKZMmXKmEKFCpmWLVuar7/+2pw5c8bqWNcdz3SHRzh9+rS+++47LV68WNu3b9epU6dUtmxZ1a1bVy1btlRkZKTVEXPMz89PmzZtUlhYmCIiIjRhwgQ1bdrUPZ6cnKw2bdpoz549FqbMuaioKDVr1kxDhw6VMUb/+c9/9Oqrr2rKlCm66667tHfvXoWGhnrcbXAuJzQ0VF9//bWioqK0d+9ehYSEaO7cuWrRooUk6aefftKDDz6o3bt3W5w0ZwoXLqzmzZvrtttuc+8zxui1115T7969FRgYKEl6+eWXrYqYK5UqVdLgwYP12GOPXXT8008/1dChQ/X777/nc7K88/Pz0+bNm1WhQgVVrVpV7777ru666y73+KJFi9S5c2fb3GLVaccFpx0TAFx7TupVJalmzZoaMmSIOnXqJElatmyZ2rdvr169eunVV1+13XG8XLlyqlOnjp599ll5ef11MzdjjJo3b65x48a5V0tFR0dbGTNX/P39tWHDBkVERKh8+fKaOnWqbr31Vvf4unXr1KxZM/35558Wpsy58uXL6/3331f79u0vOj59+nT17dvXo1b4XI4T+1Wn1UQ9AJzMzr3pLbfcctnxU6dOafPmzR7Thzqpb65QoYImTJigZs2aac+ePSpXrpy++eYbtWnTRpL03XffacCAAfrtt98sTvoXLy8vpaenKzAwULfeeqseeughPfPMM+7xcePG6f3339eaNWssTJkzduvtz//Ze3l5acKECUpISNDGjRtVp04d9ejRQ506dVKJEiWsjpkjHTp0uOz4kSNHtHDhQo/5O+yk6/xeXl7avXu3fvnlF3366af6/vvvVapUKXXp0kWPPfaYqlevbnXE68Lb6gCA9NeEVIcOHa54ELSDsLAwrVu3TmFhYXK5XPL2zv7XrFChQjpx4oRF6XJv/fr1+u9//ytJcrlcGjhwoMqVK6f77rtPkyZNytYg2MWRI0d04403Svrrdjne3t4KCQlxj4eGhtrqEQALFy5U165ddeutt+rll192X2weOnSo+vTpoxo1alicMHf++OMPNWnS5JLjUVFRtvnSynnBwcH6/fffVaFCBZ04cUJly5bNNn7DDTfowIEDFqXLPacdF5x2TABw7TmpV5Wk1NRURUVFubcbNWqkH3/8UXfeeafOnDmj/v37WxcuD3799Vc99thjeu211/Tf//7XfUx3uVy69dZbbdcLSVKVKlX0yy+/KCIiQgEBARfc6vPYsWO2uZ2mJB04cEBVq1a95HiVKlV06NChfEx0dZzYrzqtJuoB4GR27k03bNigjh07XvIW8mlpadq8eXM+p7o0J/XN+/btU6VKlST9dZ3D398/W39Ws2ZNj7sNtMvlkvTXz+HOO+/MNnbHHXdkm4T3ZHbt7cuWLatnn31Wzz77rJYtW6Zx48bp+eef13PPPad7771Xn3/+udURr2jWrFlq0aKFgoKCLjruKZPt5zntOr+3t7fat2+v9u3bKz09XQkJCUpISNA777yjhg0bqkePHrZ6RGlO8Ex34Brr2bOnBg4cqK1bt6pv37567rnn3N82T01N1TPPPKPY2FiLU+acr6/vBZNNDz30kMaPH6+OHTtq+vTp1gS7CpUrV9a3334rSfr+++/l5+enefPmucfnzp3rcc+PupzGjRtr1apV2rx5sxo1amT71Q01a9bUJ598csnxsWPHqmbNmvmY6Oo9/PDDGjJkiA4fPqzOnTvr1Vdf1fHjxyVJJ0+eVHx8vBo3bmxxypxz2nHBaccEALiSsmXLXnBBrWbNmvrxxx+VkJCggQMHWpQsb0qXLq3p06fr/vvv16233qpJkyZZHemqPfPMM3ruuee0cOFCDR48WP369dMPP/ygPXv2aMGCBerVq5etLrTfeuutGjp0qM6ePXvB2NmzZzVs2DBbfWnPif2q02qiHgDwTJGRkWrYsKFefvnli7569+5tdcRsnNQ3lylTJttK6nbt2qlkyZLu7ePHj8vX19eCZJc2Z84czZw5U/7+/jp16lS2sVOnTrknJD2d3Xr78192+LtGjRpp/PjxSktL03vvvWeb68/Vq1fXvffe657s/efrlVdesTpiNk66zv/Pz1FwcLAGDx6szZs364cfftBNN92kfv36WZTu+mGlO3CNPffcc9q5c6dq1Kihm266Sdu3b1eVKlXk7e2ts2fP6pZbbrHVhcA6depowYIFqlevXrb9Dz74oLKystS1a1eLkuXdwIED1bVrV40aNUq7d+/WF198oX79+unnn3+Wl5eXpk2bppEjR1odM1eKFy+uSZMmKSEhQU2aNNErr7xy0QbJDt5++221atVKc+bMUWxsrIKCguRyuZSenq7ExETt2LFD3333ndUxc+Xll1/WunXrVLFiRdWvX1+LFy9WUFCQbrzxRu3Zs0dlypRRYmKi1TFzzGnHBSceEwDgcpo0aaKpU6fq9ttvz7a/Ro0a+uGHH9SsWTOLkl2dJ554QtHR0erUqZNmzZpldZyr0q1bNx08eFCtWrWSMUbnzp3L9sXdtm3b6p133rEwYe68//77io2NVWBgoKKjo7P1d4sWLZKvr6+teiEn9qtOq4l6AMAzNWnSRJs2bbrkeEBAQLbHdFrNSX1zrVq1tGLFCvct/idOnJhtfMWKFR53u+e/X1/64Ycf1LBhQ/f2smXLdNNNN1kRK9fs1ttf7onURYsW1WOPPXbJR954mnr16mnVqlWXzOvr66sKFSrkc6rLc8p1/st9jmJiYhQTE3PBXR+cgGe6A9fJxo0b9e2332rbtm3KyspSSEiIGjdurObNm9vqIDl9+nQtWrTokr/4J02apE8++UQLFizI52RXZ8mSJfr5558VFRWlRo0aacOGDRoxYoROnjypNm3a2G7S8O+2bNmihx9+WCtXrtS6detsd9sZSdq+fbvGjBmj5cuXKz09XdJf34Zr1KiRevfurfDwcGsD5tGcOXM0a9asC44LnTp1UtGiRa2Ol2NOPC44+ZgAAP/066+/Kjk5WY8++uhFx9evX6+vv/7aFs+Ju5jMzEy98MILWrBggaZNm2bru5UcPnxYiYmJF/QOlStXtjparh07dkxffPHFRfu7Tp06qXjx4hYnzB0n9qtOq4l6AABXy0l988GDB+Xl5ZVtdfvfff/99/L391dMTEy+5sqrb7/9VoULF1bLli2tjpJjduntJ0yYoI4dO3rcnQ/yIiMjQ+fOnVORIkWsjpIndr7O/+ijj+q9995TQECA1VHyFZPuAOBAWVlZOnbsmIoXL26rL3kAAAAAAAAAwP9j777Doyj3v49/Nj1AEgiQJi303gSkKaE3ERTLEQ4lFBsdgZ8gSlEIeFBRQBDBAApiARRE2hECKiqBGFFKEAxFTIwgBGkhZZ4/eNjjmoDJks1mNu/Xde11MjP3znzvbDh+dr87MwD4nN9szHHTC8BkMjMzlZiYqKysLEnXv1H1wQcfaPXq1frtt9+cXB2KAjc3N61bt86lLtFiGIb13xQKjxMnTujbb7/Vnj17dOLECWeXc1syMzNtlvfs2aNvvvlGaWlpTqoIAPLf/v378/Tf0wMHDuR4H+7CwtXmI7nmnCTXfY/kSlmoKFi2bJlSU1OdXUa++Omnn/T555/r6NGjzi4FAHLFbBnHbPXeitnmYrZ6b8VsczFbvbl16dIl7dq1S++//74++ugj7du375aXPy8MbrzP2Lt3r86fP0/D3SRougP57Pvvv1e5cuVUtWpVNWrUSL/88ouaNGmiQYMGaejQoapVq5ZiY2OdXWau+fn5afDgwdq9e7ezS8k3W7dutQkDq1atUsOGDVW8eHFVrVpVr7/+uhOryz+PPfaYfv31V2eXkWcZGRmaPHmy2rRpY70813/+8x+VKFFCvr6+GjBggK5du+bkKvPX999/L3d3d2eXkSevvvqqypcvr8qVK6tFixZq3ry5KleurPLly2vu3LnOLi9Pjh8/rjvvvFPe3t7q3r27Lly4oI4dO6p58+Zq2bKlatWqpSNHjji7TADIF40aNdLZs2dzPb5FixY6efKkAyu6Pa42H8k15+Rq75Ek18pCN2zcuFFDhgzRhAkTdOjQIZtt586dU7t27ZxUWf4x63ukWbNmafv27ZKuvxbt27dXjRo11LFjR9WoUUNdu3bV+fPnnVskAPwDs2Ucs9V7K2abi9nqvRWzzcVs9f6TrKwsTZgwQUFBQWrbtq369Omjhx9+WE2bNlV4eLg2bNjg7BKzccX3GTkx4+fhueHh7AIAVzNhwgS1bt1aU6ZM0ZIlS9S5c2fVqVNHcXFxslgsioyM1KRJk7Rt2zZnl5orly5d0rfffqvo6GjVqFFDQ4YMUb9+/RQUFOTs0uzWtWtXJSUlKSgoSGvWrFH//v311FNPacKECYqLi9OECRNUtmxZPfroo84uNVcCAwNzXJ+RkaEWLVrIze3696v++OOPgizLbtOmTdOSJUvUt29fffTRR0pJSdHGjRu1ePFiZWVladKkSZo7d64mTJjg7FLzVWH/duVfvfDCC5ozZ44mTZqkzp07Kzg4WIZhKCUlRVu2bNHUqVN18eJFTZ482dml5sq4cePk5+enjz/+WO+88466desmT09PnTp1Sm5uboqMjNT//d//ad26dc4uFQBum2EYeu6553J9T7vC/kU3V5uP5JpzcrX3SK6WhaTrX0Tu37+/unTpooSEBM2bN8+ayaXrf2c7d+50cpW552rvkRYuXKhu3bpJuv7v6dy5c9q3b59q1aqlhIQEPfHEExo3bpyWLFni5EoB4ObMlnHMVu+tmG0uZqv3Vsw2F7PV+08mTZqkTz/9VKtWrZKPj49mzJihe++9V/fdd59WrVqlhx56SOvXr1enTp2cXaok13yfcStm+jw8t7inO5DPAgMD9dVXX6lWrVq6cuWK/Pz8tHv3bjVr1kzS9UuutGnTRmfOnHFypbnj5uam5ORkJSUlacmSJVq1apUuXryoe++9V0OGDFGXLl1Md2mTG3MKCgpS69at1b59e02bNs26fc6cOfrggw+0Z88eJ1aZe35+fmrTpo0eeugh6zrDMDRkyBBNnz5dd9xxhyRpwIABzioxT6pUqaLXXntN9957r44ePaoaNWpo1apVeuSRRyRJH374oaZPn64ffvjByZXm3gMPPHDL7ampqYqJicl2efPCqnz58po3b5569eqV4/Z169Zp+PDhOn36dMEWZqegoCBt3bpVDRs2VGpqqkqVKqVdu3apdevWkqS4uDh169ZNycnJTq4UAG5fREREnrPbqlWrFBoa6qCKbo+rzUdyzTm52nskV8tCktS4cWNFRkZqxIgRkqSPPvpIkZGRmjt3rgYPHqzffvtNYWFhpsmrrvYeycfHRwkJCapYsaLCw8O1fPly3XPPPdbt+/btU48ePUx5Fj+AosNsGcds9d6K2eZitnpvxWxzMVu9/+SOO+7Q6tWrdffdd0uSTp8+rZo1a+rMmTPy9vbWCy+8oE2bNhWaq/y60vsMV/s8PLc40x3IZ4ZhyMPj+j+tv/+vJLm7u5vyvtQNGjTQvHnz9PLLL2vNmjVaunSp7r33XoWFhSkyMlLTp093dol2+emnn7JdTv6+++7Tiy++6KSK8u67775Tnz59tH37di1YsEAlSpSQJA0dOlS9evVS7dq1nVxh3vz6669q0KCBJKlq1ary8vKyLktSkyZNTHe/zA0bNqhjx44KDg7OcbvZwsXZs2dVo0aNm26vXr26zp07V4AV3Z6rV68qICBA0vUPaN3d3eXn52fd7u/vr8uXLzurPADIVzExMc4uIV+52nwk15yTq71HcrUsJElHjhzRvffea11+8MEHVaZMGd13331KT0/X/fff78Tq8s7V3iNVrFhRP/74oypWrCiLxWLz70e6/m/o0qVLTqoOAHLHbBnHbPXeitnmYrZ6b8VsczFbvf/kzz//tH7ZUpJCQ0N19epVnTt3TiEhIerdu7dmzZrlxAptudL7DFf7PDy3uKc7kM/uvPNOzZ49W6dPn1ZUVJTCw8M1f/586/Z58+apbt26Tqwwb/7+zTYvLy89+uij+u9//6tjx45p4MCBWrZsmXOKuw0HDx7U/v375evrm+0DvqysLFP9n37VqlW1e/duhYSEqGHDhvrqq6+cXdJtCQgIsLkfYePGjW0aoGlpaaa7ukKtWrXUu3dvRUdH5/j465UWzKBZs2aaMWOGMjIysm3LyMjQzJkzrWeumUGdOnX09ttvS5KWL1+u0qVLa/Xq1dbt7733nqpXr+6s8gAAMD1Xe4/kallIuv4lw99++81mXUREhDZs2KDx48dr3rx5TqrMPq72Hmno0KEaP368jh49quHDh2vcuHE6duyYJCkxMVFjxowpNJdFBQAAKCzq1aun9957z7r8wQcfqESJEgoJCZF0vQ/g7e3trPKycaX3Ga72eXhucaY7kM+ioqLUpUsXRUdHq0yZMtqxY4cGDRqk0NBQubm56dy5c9qwYYOzy8y1W92BolKlSnrhhRdMeZZ7+/btrXP76quv1KRJE+u27777ThUqVHBWaXbx8PDQ7Nmz1blzZ/Xp00d9+/Y1XWP6htq1aysuLk716tWTpGwfkP3www+qVq2aM0qz25133qm4uDgNHjw4x+3e3t6m+pubN2+eOnXqpKCgILVp00bBwcGyWCxKTk7Wrl275O3tbZp7skrS1KlT1atXL7300ktyd3fXli1bNGTIEH3++edyd3dXbGysVq1a5ewyAQAwLVd7j+RqWUi6/gHfpk2b1Lx5c5v1bdq00YYNG2zOgjcLV3qPNG7cOJ08eVK1a9dWlSpVdPz4cVWvXl0eHh7KyMhQ48aNbT5QBgAAgDR9+nR1795d69evl4+Pj3bv3q3//Oc/1u2bN29Wo0aNnFihLVd6n+Fqn4fnFvd0Bxzg4sWLSkhIUI0aNVSiRAldvXpVK1eu1JUrV9SxY8dbXiKksJk2bZrGjx+vYsWKObuUfPP3S5OXKFFCpUuXti6vWLFCktS/f/8CrSu/nD17VkOHDtWOHTv0zTffmOrvTbp+aUtPT0+Fh4fnuH3VqlXy8PDQww8/XMCV2S8tLU2ZmZku9e/ozz//1LvvvqtvvvnGeq/zkJAQtWjRQn369JG/v7+TK8ybxMRExcXFqUmTJqpYsaJ+++03LViwQJcvX1b37t3Vtm1bZ5cIAICpudJ7JMn1stDOnTu1e/duTZw4McftMTExWr58uaKjowu4svxh9vdINxw6dEiffvqpfv75Z2VlZSk0NFStWrVShw4dTPuFAgAAAEfav3+/3n//faWlpalz587q2LGjs0u6JVd5n+GKn4fnBk13AAAAAAAAAAAAAADsxD3dgXy0f//+bPcHv5UDBw7keH8OM8nIyNDJkyedXQZy8Ntvv7nUazNt2jSdOXPG2WXkq99//13p6enOLuO2ZWRkaNu2bVq6dKk+//xzZWZmOruk2+Jq8wEAwJmK4nuk9PR0l8rhkuu973O1+bji3xwAAMDtcMX3Ia6U+Vwtj99A0x3IR40aNdLZs2dzPb5Fixam/z+WAwcO3PQy4IXZG2+8oQ4dOujhhx/W9u3bbbadOXNGlStXdlJleffnn3/q3//+typWrKgBAwbo2rVrGjZsmEJDQxUeHq42bdrowoULzi4z1y5cuJDtkZqaqhkzZujnn3+2rjOTxYsXKy0tTZJkGIZmzpypUqVKKSQkRCVLltTYsWPzFAKdbeTIkdq4caMk6ZdfflG9evXUtWtXPfvss+rcubMaNWqk06dPO7nK3HO1+QAAUJgUxfdIBw8eNOV7pFsx6/u+m3G1+bji3xwAAMDtcMX3Ia6U+Vwtj9/g4ewCAFdiGIaee+65XN+n4tq1aw6uCDl5/fXXNXHiREVGRio1NVXdunXTlClTrPcvzMzMzHbf98Js0qRJ2rdvn8aNG6e1a9fq4Ycf1rFjx/TFF18oKytLTz31lGbPnq0ZM2Y4u9RcKVWqVI7rDcNQixYtZBiGLBaLqc4+fvLJJ9WrVy8FBQVp8eLFmjlzpqZPn67mzZsrLi5OkydPVuXKlTV8+HBnl5orH330kZ588klJ0tNPP61y5crpiy++UJkyZfTHH39owIABGj16tD788EMnV5o7rjYfAAAKE94jAQAAAChovA+BM9B0B/LRPffco4SEhFyPb9GihXx9fR1Y0e1r3LjxLbdfuXKlgCrJP2+++abeeust9enTR5L01FNPqVevXrpy5YqmT5/u5Ory7pNPPtHy5cvVtm1b9e7dW+XKldMnn3yiVq1aSZJmz56tsWPHmqbpHhoaqoYNG+rpp5+Wm9v1C7IYhqEOHTpoyZIlpvwGnGEY1p+XLl2qF154QWP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-      "text/plain": [
-       "<Figure size 2500x2900 with 6 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "128 AP fragments with no retrosynthetic route found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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d3GO0Wu2oUaM2bNhQo0aNw4cPOzk5Pfma5OTkM2fO6OPv58+fN/yug4NDixYt9PF3CUvlAhEtW7bs3XffzcnJGTBgwJo1a5ByRET03Xf04Yf03nu6flBQMsTHx3/22Wc///yzRqOpWLGiSGzfvn379OnTr1+/TkQeHh6LFy+uJ0uJrTt36M036fJlsrQkhYLUaho0SIZhgBw6dux47NixRo0aOTk52dvbW1tbi65O1tbWNjY25cuXF19UrDjUysrcxoYcHMjOjqytyd4+/6FGjtQF3K9epd69KT6erlwpswF34rJCrIOWexTcqROHhuZt1qnDFy/KNhh4lqNHuWlT7tqVhwzhrVuZmbOy2MWFzcz4xg2ePJnj4uQeYgEkJia6uroSUYsWLeIKNuL09PSwsDC1Wu3u7m71+HPp+vXre3t7BwUFFfBQoJeenh4ZGanRaIx3ipycHD8/v+bNJ5mbc8+eHB1d9EPdv88DBrBSqWnbto+Pj09mZqZ0w3zMRx/xokXcsiWHhDAzt23Lx48b6VRl2dKlS4moX79++j2DBg0ioh9//FGqU4wZw0S8eLFUxyueS5eYiBs2zNvTsSMT8eHD8o2pVLp165ZY8LRlyxZjHH/evHlE1LFjR61Wa4zjF83Ro0eVSqWFhUVkZGQBfyQhISE+Pv7atWtXr16NiIgIDw/fu3dvSEjIxo0bg4KCfvvtt4CAgLZt2xLRW2+9ZdTBg6GHD/nUqbzNGzf4wYNnvjglhfftY7WaJ09ekO+hiFKpbNq06euvv7506dJTp07t3r3b0tKSiL766isT/BYgmdzcvK+PH2cLC1Yo+J9/5BtQfjNmzCAiBweHU4Zv3Oe6d+/eli1b/Pz8Bg0aVE1fgO+R6tWre3h4fPbZZ9u2bYuNjTXq4F8S//33n/j/7OTkdOzYMbmHUwJMm1aS5n/A2dnZAQEBlStXJiJzc3Nvb+8HBp98WVlZ/v7+YmpnYWHh4+OTnJxs6iG6ufGcOSwmfkeOcPnyfOmSqccAckhNTbW0tDQzM3v48GHxj+bpyX//rft63jwm4nv3mIhzcnQ7o6O5cuXin6dEKAsB95ycHF9f3+7duzs6OqrV6lzDOZnJIeBewmVl8SefsErFROziwiNG8M6dum/t3s0VKvCoUUzEdetyeLisA32RpKSkDh06EFHDhg3v3LmT77tbtmzZtWtXamrqc46Qnp6+d+9ePz+/Hj16GAbflUplq1atfHx8QkSgFJ5rwYIFo0aNIiI7Ozs3NzcfH5/AwMBr165JeIqrV6927NiRiFQq1Q8/hBf/CqfR8JIlB8zNzYmobdu2UVFRUgxT584d/ucf3ryZP/qIv/+eQ0O5USPOyEDAvYjc3NyIaM2aNWLz/v375ubm5ubmD54TfCqkVauYiAcOlOp4xfPgARM9NskaMICJePt2+cZUKg0bNoyIRo4cqd9z/fp1CY+fkpIiIhebN2+W8LDFkZOTI/oczJkzR9ojX7x4UaVSqVQqURECTGDtWibSpUQw85tvckDAYy+4epUDA9nHh93c2MKCiZiIu3VbJYKe7u7ufn5+wcHBT+YQbNq0yczMTKFQ/Pbbbyb5VaDYbt1iNzc2/PtatIiJuEIFvnFDvmHl+eabb0QI7MmZ85EjRwp47Y2JiQkODvbz8/Pw8KjyeAm1qVOnnj9/Xvpxv3yio6M7depERFZWVrgCcJ8+TMQ7dsg9DmBmDgkJ0a9rcXd3P3v27FNfFhMT4+3tLcoi1ahRIyAgwKgpX4+5cYMrVOCsrLw9kyfzl1+a6Owgq61btxJRp06dJDlaSAjrPxgzMviLLzg9nX/7jfU5PGlpvHatJKeSX6kPuN+7d6979+5EpO8g0bVr10vyPWrz8eHTp/M2x48vVi4qSOvMGW7TholYqWRvb05Le8prbt/mzp2ZiC0t2d/f5EMsmLS0NFG+zcnJ6cbTbjaaN28u4rOurq4+Pj5BQUEJCQnPOWBOTk54eLjIfLe2thb/lAYOHLht2zZj/Q5lwooVKxQKhVKpfLLOQK1atUaMGPHVV1/t27cvJSWlyKdYv3696PXn5OS0f/9+CQd//PhxZ2dnIrK2tvYvxns9NZXDwtjfn7282MVFF/VwddUF3Jl53DhesAAB96K4fv26QqGwtbXVv4W+//57Iho2bJiEZ4mNZaWSra25BCwSY87JYYWCzczy5lxjxzIR//GHrMMqZbZt2ybCjrdv3xZ7YmNjK1Wq1K9fv+JcjjIyMgIDA/WbP/zwAxE1adIkR5+RIquvv/6aiJydnY2x3nHy5MlENGrUKMmPDE+1di27unLDhrrr0ptv8s8/85YtPGcO9+3L5cr9n707D4/peuMA/s5M9kQIYok99tglKLELLWKpiq2Cn9ZYSijaoVWhLY1WNaVaUaWxC7XEUppSxC4hItYIQiLWRCJ7Zub8/jhxjSQiy525k+T7efL06dxM7jlhzNz7nve8b/ZnDf8yNWXt2rGpU9n27TEFuQX47bff+I3DTiHDCozZxo2MiFlZMWHnilbLBg7kayxM6vefbdu2yeVymUy2fv363N/lF1rly5cXcjIiIiIKctpbt25t3bp19uzZzZs3l8vluhvdoDjS09O9vLz4tbpSqczQjR6WNbVrMyJ265bU8yjrbt686eHhwV+TDRs2DAgIeOuPnDt3jrclICIXF5eTJ08aYJ7syBHWps1rR374gX30kSGGBqnxt8358+eLe1qtlrm6MpmMiZoUZFxKdsD9/PnzderUIaIaNWqcOnXq77//5iVuLS0tpUp19/d/LSwwfz5LSzP8LCCnrCzm45OdA+XoyI4de8uTVarsuzhPz7zj8hLKyMjo27cvD+nmmUmt1WpVKlX79u1NeBEsIh5879ix45w5c/7+++/8N6Clp6cfP3587NixRNS6dWu9/R4l3r59+/if8PLlyxljCQkJQUFBPDWJbwYUKBQKJycnT09PX19f3sO2IOdPTU0Vbgnef/99UTZw5ZCUlDR69Gg+xNChQ+Pj4wvyU2q1+tKl9NWr2ccfsxYtmELxWuCjfHnWuzdbsOBVwD0ujtWsyWrXRsC90Ly9vYlo3LhxwhFe2uKvv/4SdyBnZ0bEDh4U96xFdMPN7Xy3bqnPn/OHm+bNG+vktDVHdiu8WUpKSt26dYnol19+EQ6OGTOGiPr06VPk02q1Wl7ETEhpz8jIqF+/PhGtW7eumHMuvujoaBsbGyLKvU5cqVKlWrVqOTo68vrIXbp0cXNzGzhwoIeHx5gxY5RKpZeXl0qlmj9/vo+Pz7Jly/z8/NatW3fs9QuF2NhYKysrmUwWYuTb30qLzZuZpyebPJl9+SVjLwPu5uavPmuqV2fu7szbmwUFFWWx8KuvvuL3C8HBwaJPHsQ3diwjYs2avboof/YsO1z41VcSzuvYsWO8SNHSpUtzfzcrK6t///72uTp+Ozg4DBw48Ouvvz5w4MBby8XEx8ebmZmZmJigsIyI/P39eYKRq6tr7o3CepKRkXH+/PkCXmzrXXo6k8uZqSnLzJR6KmVXQkKCSqXi7yE2Njbe3t45Sn1euXLlTR9SWq02ICCgVq1aRCSTyTw8PKKjo/Uyy6go9v33bORIdv78ayUfGWPe3mzWLL0MCkamSZMmRHTixAn+MDk5WaySkh9+yIjYggWinMwYleCAu5+fn5mZGRF16dIlLi6OH3z+/LlSqeRXM506dbpu8HougwczS0smbPuztWUvgwYgmYgI5uLCiJhMxpRKlm+dlVc2bmTW1oyItWnDRC0QUiwZGRnu7u5EVLVq1bfubU9OTuYhYDc3N/6PRYj/Cpnvb7rsy8jIKFeunEwmExIkQdfZs2d5E8I3rfTGxsYGBAR4eXm5urrmKJdvamrK//x5olOeH1ehoaGNGjUqfvp5Qfj7+/NAVZ06dYTP0dy/jrDTuUKFCl26XBWiHiYmzMmJeXoyPz8WEcGEfY1CwJ0x9vPPjAgB90Ljr4HDhw/zh1euXCEiOzs70Svvz5vHiNj06eKetYh4sFjYg8/jYl9//bWkkypJZs6cyTOehLSDY8eOyWQyS0vLW8VLZFu+fHmOlPYNGzbwpAfJm+gMHDiQiEaNGpXjeEZGBhVJv1xVlj777DMi6t27t6F+pzKNB9yfPmUODuzq1eySMpMnszlz2K5drMjxMd0X6rRp04iofPnyBS+6DZJJTmZNmzIiplS+OnjsGFMomFzOJCqBeOXKFTs7OypAgwfdi6gcORlEVL16dXd3d14EKc96ce+++y4RrVmzRj+/RxkVGhrKrzfs7e2PHDmi17EiIyNVKlWVKlWsra3r1KljFJn1ERGMiDVqJPE0yiqNRuPv789L88nlck9Pz4cPH+o+IT4+XqVSmZmZOTo6pr05fzM5Odnb25vfaVpbW3t7e+fz5MKJimK+vtnpx/yW7/x5ZmPzWljE1ZVt2SLOcGDE7t+/T0S2traZL9fnpk+fXq1atR07dhT/5EFB2fWcDVYbycBKZMA9LS2N7+0lIqVSmZlrYfbAgQO6qe6Gq2zF2ODB7H//Y926Ze+GR8BdWhoN8/XNTomqW5cV9moqLIzVr8+IWKVKRlHgTq1WDxs2jF8aFnBHqkA3+M4X0oXgu5OTE2+XmiOHmscvcH2fW2RkZJUqVYjo448/Lsjzs7KyIiIi/Pz8PD09nZyceN09QYUKFYRqs0+ePNFqtb6+vvzvyMnJKTw8XN+/DmPszp07vKiliYmJt7e3RqN5/vz5P//88+233w4cOLBatWo5bg7ff3/Dhx8yX192+vQbN/EcOfIqwq5Wsx9/ZGfPsnbtGCIbBRQcHMxDmULY9PPPPy/IjX0RnDxpRLddbdq0IaLQ0FD+cNmyZUT06aefSjurkiI8PNzU1FShUAh/gBkZGU2bNiWiRYsWFfPkmZmZOVLaNRoN//v68ccfi3ny4tixYwePnMbGxub4llarjY+Pj46OjoqKunTpUkhIyLFjx4KCgnbv3h0QEPDnn3/6+fn5+vr6+PgsWLBApVLNmDFDqVSOHTv2+++/z3Gq+Pj4ihUrEhEanBgAD7gzxtasYb1751HDvbDUavXEiRO7d+8uBCPUavXQoUP522ye1fnAuFy+zCwtc1YY493WqlZlL1OvDCY2NrZ27dpENHDgwEJtqtZqtTdv3ty8efPMmTO7du3KMx4EMpmsUaNGuvuTGGNr1qyh19ungyiePHnSu3dvfvXr4+Mj+vkzMjK2bt3as2dPmUzG/37r1avHU6A6d+5ssMz6vO3axYhY//5SzqGsOnr0KG85Q0QdOnQ4c+aM7nezsrJ++eWXSpUq8VfmlClT3toc9d69e56envyEtWrV0q3+V2hhYeyrr14VCeWbl0ePZjt3stRU9vXXrFUrtm8fO3GCKZWsfXsmafdEMIzVq1cT0fvvvy8cyZHwXhwaTfZ2Nd1GmKVJyQu437t3j/eKtLS0/PPPP9/0tByp7uJ2BczH4MFs717Wowfjd6MIuEsoKop17foqsb2Afbz//pvphp0TE9mQIdknUamkXHlTq9WjRo3i8VkhklI0KSkpwcHBvGK7bvA9RziGFzn94IMPijfx0iY2NpZnxLi7u+eoXPz8+fPnBfgHHx8ff/Dgwa+//trd3Z0H7nVvtPgRmUw2depU0ZIUCiAjI2PmzJn8lqBq1arCvQFXuXLlfv36LViw4MCBA7l70BXQxImMiNWsye7dE3fupRP/CJs7dy5/qNFo+L7RU6dOiT6WWs0qVmS1a2fevi39TudevXoR0b///ssfrlu3jojGjh0r6aRKBo1G07FjRyKaOXOmcHDBggVE1LhxY1E2RuROaef14itXrlyQdz99SEpK4jkWq1at0vdYixcvJiIXFxexNtLCmwgBd62WdezI6tUrbsD9wYMHNWrUIKKhQ4cK4dGMjAw3Nzciatiw4aNHj4o9a9Cz335jRMzGhgm3dWo169493dHxW09PQ+ZXJSYmtmrVigfLUopdejIqKsrf35/vibSysiKiZcuW6T4BVWX0R61Wq1QqftE7atSo4v9tcjdv3uQp7fwq2sLCwsPDgy/WGjKzPj8nT7KRI1/tRQWDuH//vqenJ3+91axZ09/fP8flxJEjR1q2bMlfNj169Lik2xvwbYr8s1qt9ty5c+lffcUaNHgVZ69UiY0fz/bvZzl2Y+zezaZOZWPHsp9+YrwtUAGDLFBi8R4Dv/32G3+YO+G9mPhO69J6q1fCAu7//fcf/+hq0KBB7sTPsLCwHJfLBw4c4JfXBkh1f/yY3buXHXC/coU5OLBnzxBwl4ZWy/z8sgvCVK/O9u4t6A+GhTFLS1arFjt79rWz+fgwhYK1a/eof/8BkpTe02q1EyZM4G9tZ3UnV2wpKSlBQUHz5s3r3Lnz6dOndb917949cd9MS4HExESektChQ4fkXMWJeEPL6tWre3h48HLtBYmYCxuN3dzcrKys7OzszMzMtm3bpp/f4C0OHDhgZmZWsWLFgtS9KayMDObmxoiYkxPTQ0X6UiUtLY1vVL98+TI/8s8///DPPj1F+iZM+JJer/otFZ5zun37dv5wz549PIVQ2lmVCL/88gtPbhI6o968edPCwkImk4l1V59nSnuPHj2IaN68eaIMUVi810X79u0NEG5LTU3lwf2C9DSD4hAC7oyx8HBmYlLcgDtjLCIigu9RmDhxonAwMTGRv6Tbt29fnJbCYCAjRzIi5uIixIAyY2Kc6tQhIn1kKOcpMzOTp0U3bdpU9P46WVlZFy9ezL1ZB1Vl9GrPnj3ly5cnolatWkVFRRX5PBkZGQEBAW5ubkLaStOmTX18fHK8TvSdWf8WKSnsl1/YRx+xqVNZQADD+rFBpKSkeHt7884BVlZW3t7eOWrxiZKlzivV8HAZr1STz1qyRqMJCQnx9vbmvZ1vu7pmx9k9PVlgYIGK+ycns/HjWfPmRWmlAiWEWq3m107Ce+Pvv/+eI+G9mG7fZjIZs7YunWs3JSbgrtVqfXx8FAoFEfXv3z930DM5OblBgwZ2dnZ+r1+SJyQkCKnurq6uN2/eFHdi6eksMJB5eDAzM/bRR9kBd8aYSsW8vBBwl8CdO6xHj+ylWQ+PwsX1YmJYx46MiJmb57y1++cftaOjCxE5OjpevHhR1Cm/hVarnTJlCv94PpZ/v1exNWvWjIj+K607fApJSIVzcnLK8xZLuJASmJubv/POO15eXhs3bizIm09WVpaLiwsRiVITrQj27t1LRC1bttTTKktiImvdmhGxDh0K2k2hbAoICCCidu3aCUf4Vbj+Spn/+eeffN+Gns5fcPwjW/goP378OBF16dJF2lkZv7i4uAoVKhDR7t27hYP8Leujjz4ScSCe0m5nZydciZ09e1Ymk1lbW8cZvKpDSEiIQqEwMTEx2OfyqlWriKhRo0ZYitarW7fY1q2vHu7d+6o9UnGcOXOG919ZoNOf69GjRw0bNiQiNzc36QsrQ/6eP2f16jEiprOP5++//5bJZCYmJidPntT3+Fqtln8cV69eXeg1YgCoKqNv169fd3Jy4plGuh+jBZRPSnue9JRZ/3ZaLevalY0Zw/77j+3fz1xcsjtTg97w7qZ16tShl91NcxQxE70Ou1D/nV+t+fj46H60qdXqw4cPT5kypXr16sIda61atXYtXMiOHy/cdv60NNaiBSNieih3CUbi9OnTPOVLOJIj4V0UXbowIrZ2rYinNBYlI+CelJTEU95kMplKpcozienhw4d9+vThbxlDhw7Nsedu//79oqe6nz7NJk9mFStmx3ZNTdmHH74KuCcns/r1mYkJS0goRIY1vMnPPzPdOgoLF7KrV9m0aa8KOT55wiZNYr/+ymxsCp3Yrisri6lU2X+nnp6vrdfev3+f17m2sLD4/fffi/HbFA4v3GxpaSn0TjQY3iPu888/N/C4RkijYcOHZ3Xp8pGDg0M+xV55uXa+NdjZ2TlHuXZbW1tXV1eVShUYGPimjIMff/yRiEaOHKm3X+WV4ODgAQMG7NmzRzgybtw4Ilq8eLH+Bo2NZXXrMiLm7s5eL8kDrwwYMICIli9fzh8mJyfb2NjIZLLiJF7lLy4ujsdMDVnIKE8qlUo3V/Hy5ctE1KxZM2lnZfx4hw/dVp+8/EulSpXy7MJXHLlT2gcPHkxEU6ZMEXeg/Gk0mg4dOhj4Q0qtVvOa+H7Fz7iGN4uNZXI569BB/OTLvXv3mpiYENHPP/8sHLx16xZvXjdq1Cg9bpW4d499+inr1Yt98AH79ddS2yBM386cYaamKU2bHt6/Xzg2e/ZsHjMSPeU8Bz5QuXLlLly4oNeBckBVGQNISkr64IMP8g845FDAlPY3ESuzvhACA1mbNq/eWOPiWIUKDAW19CYkJMTV1ZW/NpydnYODg3W/q9Vq/f39ea8sHou/J17ZzevXr/fr148P3bhx47179wYHB3t5eem25qpTp46Xl1dwcHDRt88K3TV0F8mhFFm4cCERffLJJ/xh7oR3UfzxByNiXbuKeEpjUQIC7jdu3BAWnHft2pX/kwMCAvg2fDs7u/Xr1+t+S6xU9/v3mY8Pa9ToVYUrJyfm48N4Z2kh4M4Y++svRsTmzGFE7KOPcta/gkIZMuS1JkkdO7IjR1iDBqxKFca3XUZHs1q12EcfZSe2F7XKdLaNG5mVFSNibdq81os7PT2d714nIk9Pz1T975/68ssvicjMzGzfvn36Hiu3I0eOEFHz5s0NP7Sx+eQTRsQqVtRevZpzn28+EhMTDx8+vHjx4sGDBzs4ONDrHB0dR4wY8dNPP+le5dy5c0cmk5UrV84Acc9PPvmEiL58mduSmZnJP0GvXbsm+li6F3KRkaxKlew1Lexkze3x48empqYmJiYP+ecKY/7+/kTUVc+XIbyuwj///KPXUd7Kx8eHiFQqFX8YGxtLRA4ODtLOysgdPHiQiKysrISMy/j4eJ5qV6zeWW+QO6X9+vXrJiYmpqamkZGRog/3Jr6+vkRUu3ZtA1cC4RtQqlevbricxLJnxQpGxIYM0cvJN2zYIJPJ5HK5bmmgS5cu8cjX1KlT9TLqs2esdm3m48Pu3mXnz7MuXdgXX+hloDLg5qpVtubmlStXvn//Pj+SlZXFO1i4u7vrr8UCb25kamp68OBBPQ2RD1SVMYC3bqkXFDalXbBr1y7dFlDFzKwvtPnz2ezZrx1xcWEvu+aAuLKyshwdHfkFw7p163Is4Zw7d46/axFRu3bt9LRBZ8+ePbxijO4m7KZNm86bN0+0VcPlyxkRq1CBof14acRXjIR3p9wJ76J48YLZ2DCZjN26Je6JpWfsAXfdhd9bBfvjv3v3Lt9DTUQeHh45EgH27dvHw15WVlaFSnVPSkraujWye3cml2fH2R0c2GefsZf1dbO9ePFawav4eBYQkB26dXU13PqxWs08PNjRo9kPL15k33zDTpxgL9MlGWNs7172+pKEUXtTwH32bDZsGGMvA+6JiUysa5WwMFa/PiNi77135dChQ7rfWr9+PW9q1LZtW73uJ/3mm2+ISKFQSFUuNjMzk/8DzCenuyz45htGxCws2PHjxTqPUK7d3d2dLw3m+Ynl7OxMRIGBgcUa7G20Wi0vRixcbx06dIiIWrRoIfpY8fGsa1f2sig3Y4ydO5e9GeWrr0QfrcT7+eef6fWq5fxDTd8ba7744gsi+vTTT/U6ylutXr2aiCZMmMAfpqWl8VtZaWdlzFJTU+vXr0+v11XnbT+6du2qp9hT7pT2//3vf0Q0YsQIfQyX24MHD/jHk77fKnPTarU8s/67774z8NBlR8+ejIht2KCv8/P+t2ZmZrpLjEeOHOGd5H/44Qfxh/T1ZboFT2NiWLlyLDFR/IHKAK1WO3DgQCLq0qWL0AI3OjqaJw2sXLlSH4MGBgYqFAqZTLZu3Tp9nP+tUFXGYPJpGpc7pd3JyangKe2bNm3iH826FdiKkFlfRJmZbNYslqPhSrduot08w+uUSqVcLu/Xr1/S66WpY2NjhdapDg4Ofn5+em1Ck5GRMWHCBLlcXq5cua+//vrKlSsiD6DVskGDGBHr0oW9fEOG0iExMZEngT1/WSY7R8K7iMaMKZ2RAeMNuKvVam9vb/5ONHLkyNz9CfOh1Wr9/PzKlStHRFWqVNmuG+Z5PdW9c+fO+WdjaTSa4OBgpVJpY2NTt24fHnTz8GCBgYUohnDxIqtdmxExR0cWEVHw36PoMjOZQsGaNmU8R/bvv1mfPmz9eubh8eo5S5YwLy9DTEYUQ4awcePYL79kf9Wrlx1wj4xkzZuzv//ODriLKz6ejR//1NzcVqFQfPPNN7phi4sXL/Il68qVK+cIx4uF5+4pFIpNuksNBjdkyBAiWrVqlYRzkNaGDUwmYwoFE7esulqtvnz58h9//JE7isoDAWP13Kv75MmTRFS3bl3hhc3fGHUr24rl11/zWLHYt4+ZmDAi9ttvyHJ/Da/jL3xyxcTEKBQKCwuLhIQEvY4bHBxMRE2aNNHrKG+1fft2Iho6dKhwhNe1lLzWjdGaO3cuvd564cyZM3K53MzM7Kooda/zkjulPSYmxtLSUiaThYaG6mlQXfyz6YMPPjDAWLn9999/RFShQoWnxdxPZzDTpzPdxrkffsjCw1lmJlu4kHXuzJo1Y8OHs7Aw6eb3mqdPmYkJMzVleu1S/+mnn/KsUt1X7K5du3hQda3olUSVSpYjjt+gAQsJEXmUMuPx48e8WOj8+fOFgzt27CAic3Nz0eu9nDlzhqfa6LXmXv5QVcaQ7t271759e54X/Oeff7KXKe329vaFTWnXdf78+dq1axNRjRo1Tp8+LRzPkVkv8vVeWhoLCGBubuzjj9mvvzKd6yumVrPq1ZnoEVhgjDH20Ucf5U6X8fHx4a1ELC0t582bV6gYV5H9888/ROTm5qavAeLjs6NdCxfqawiQws6dO3Pssc6R8C6iY8eSu3Wb3qqVs17XnwzPSAPuT58+LX7z7hyp7jlqmL411T0iIuLzzz8XqkDIZLJu3bpt2PCiaM1zY2NZu3aMiJUrxwyQjJWZySwt2SefMH4VWjoC7p6e7Kefsr/q1s0OuN+5w44dYw0asJs3xQ+4s3y3Fj579qxv3748Jj558uSAgIDdu3cHBQUdP348JCQkIiIiKirqwYMH8fHx6enphR13zZo1MplMJpOtXr1a1F+o0Hgf6kGDBkk7DakIQWHd3SH6dvPmTR7K0Wv3tpkzZxLR7JcbSzUaDS/qdznHth2RTJ/OiFj58q+FdDZsYHZ22latPsmxLFqWXb16lYjKly8vVKzavHmzQqEYxvfy6JOeqvIV1uHDh4moZ8+eN2/evH///sWLF3lbp9jYQlRzKjsiIiLMzMzkcvmpl31OsrKyWrVqRUTe3t56HXr8+PE5UtpnzZplmATMAwcOEFG5cuWEghKGx68wP/vsM6kmUDj9+rG//nr1sE0bduoUmz2b9e3L7t1jaWlswwZWpQoTu9x/0fBSnu+99+rInj3iT02r1Y4dO5aI7O3tb9y4IRz/9ddf+aXdW+tY5ketZhERzN+feXkxZ2c2cyYbP57p7EFhjLEmTZhOxA0K69ixYwqFQi6X6wY9J02axBOTE8XbPRAZGcnDrEqlUqxzFg2qyhhSamoqf4sgovr16wsp7W3atPntt9+K/AJ7/Phxz549+cqQr6+v7rfyyawvovBwNnUqq1Ahe3t+jRosOprZ2bFjx7Kf8N13rFs3EQaCvOQZcOe92dzd3W/rVq3VM70H3BljR48yhYLJ5ey///Q4Son1xRevrbBPmvRa1eIbN5ibGxOuRLZtY0bSJ4h/pH7zzTf8Ye6EdxFptVq+Yfff0lXkyhgD7hcuXKhbty6/Ai5ml8gcqe47Xs9QjY+PF1Ldu3TpwrO04uPj/fz8hO4WRFS7dm2VSlXAgjb5SEtjo0czIqZQsKIuIhQUD7g/fcocHNj1668C7m3asOXLs78GDSphAfc8S8rwgi5jxrDJk/UScOeOHDnCL4Bq16597tw54TgPx8tkMv6KzZ+1tbWdnV2tWrUcHR1btmzp7OzcvXt3Nze3IUOGeHh4fPzxx0ql8vPPP1epVMOHD+fRdmPIK4+NjeW1eouwbFDSnT3LrK0ZEdNz2CoPLVq0ICI9bZ7g+BYNIb/m6NGjRNSwYUM9DafRMA+P7GJcugWKli5dyxOFjglX/2XbnDlziGjixIm6B2NiYgxTGpv3nf/1118NMNab3Lp1a/To0UOGDLG2tuaFO5ydnVevXl0G34LeSqvVdu/enV7f2vndd9/xf8v63hMQExNjZWUlk8lCXt5DxMfH82JZer1WTklJqVevHr3e9NLwwsLC5HK5hYWFiC3O9Ch3wP3wYWZlxXTKGrD//Y99+63hp5abuzsjenW3+fAhUyiYtTUT/RWdmZn53nvvEZGjo6NuhQfePsfS0vLEiROFON2DB2zXLqZSse7ds4umCV9dujAfH6a7cS0hgVlbF7fjUJnn7e1NRFWrVhX++tLS0lq2bElEixYtEmWIBw8e8It8d3f3LKlbvaOqjOH5+fmZm5tXrly5aCntecrKyuL94SlXS7B79+61a9eOiGxsbLYWuQulkNIuvAU5OzM/P8aTqY8cYa1asZYtWaNGrHdvFh1d/N8I8pRnwD0xMdHwtzyGCLgzxr74ghGxmjWZnptXl0Q9erADB149bNKEXbz46uH588zKivXqlf1wyRJmJOkcPFwghL9yJ7yLi3+mjx49Wk/nl4TRBdzXr1/PWzq4urqKlc52586dXr16vSnVffv27TxtwcbGpn379qampvyZdnZ2kyZNElLGRKHVMh+f7CrwemqjmpHBdu1iL14wS0vGGFu9mrm5vQq4t27NfH2zvwYOLD0B90ePmL29HgPujLF79+7x0I+FhYVuaklMTIxcLjcxMRk8ePCAAQPc3NxcXV2dnZ2dnJwcHR2rVatmZ2dnZmb21nB8DuXKlVtoNHuyeLJkKVtsfKubN7Mbe74sJW1QCxYsIH3mUp0/f56IatSoIdSTmTZtGhHNnTtXTyMyxjIyWO/ejIg1bMh090PPmDGDiGxtbcOMpqCBhHhdWqkKSa1du5ZeLx9veLdu3erSpQt/J2zdujXfxU9Effv2FfcTuRTgO5CqVasmbD+/e/cu36osSlDgrWbPnk1Effr0EY4sWrSIiNq1a6e/voWfffYZX4ZRS10qdNiwYUT08ccfSzuNAunXj733HpsyJfurcmW2YQOrXfu15/z6Kxs1SqL5vfLiBbOwYHL5q7WA335jRExPb0spKSm8bV3Lli2Ff0darfbjjz8mokqVKuVT7jYtLe3EiRM//vjj+Zkzs3fT6341aMA+/JAtX87OnmUZGSw6mlWqxPbvZ4yx1FQ2ZgwbP14vv1JZotFo+C3ee++9xzcrJyUl7dixQ6lUnj179r///gt6g4A32Lx5s5+O5cuXN27cmIjeeecdY2iSjKoyhqdWq83MzGQymdDHXiybN2/mn9dt2rTRTXZOS0vjgVp+I5Cp2x3ura5dYyoVq1Qp+13I1pYpla8F9gSpqYUojwtFkmfA3TCUSqWZmRmvhsQMFnDPymIdO2orVtykp97jJdlbA+7vvMN692YbNzJmNAH3yMhIHhQVrrdzJLyL7s6dO3K53NLSUt9lVA3JiALu6enpXl5ewqeLuLUUeKq7jY0Nz4P4SzfNh7H4+PjRo0ebmJiUK1dOoVC4ubn5+/vr77pq27bsNqoeHreeiLdFNiKCqVTZIcKtW7MD7hoNe+cdNmlSiS8p4+n5WsfFPn1YcDBr2/bVqvyqVax5c/3OQXiJTtX5FOG5hMOHD3/rj7948SI+Pj46OjoqKurixYshISFHjhwJCgrasWNHQEDA6tWr/fz8fHx8vvvuO17dT6pGqbnxlNtZs2ZJPRHDiYlhdeowIjZokDTdXy5fvkxElStX1lM6Ff87nTZtGn+o1Wpr1apFRCF6rif7/Dlr2ZIRsREjHgoZPRqNhidWOzg4lPH2vIyxDRs28OWHHJ9ThhEXFyeTyaysrETcjF9wOT6peT2HJ0+eeHt78/aYfDG+rC3+vcnTp08rV65MRNu2bRMOuru7GzI3JHdKe2pqKi+svEPcrhcvhYeHm5qayuXyM2fO6OP8hXLz5k1TU1OFQiF+CzLR9evH5s9nhw5lfzVowDZuZDVrvvacFSuYp6dE83tl69bsjHBBnz6MiOmvUeWTJ0+aNGlCRN27dxd20qjVat7GsEaNGrofTLGxsQEBAV5eXq6urry9BBF92759dtVIV1fm5cUCAtijR3mMdPo0c3NjDRqwJk3YJ59kZ5vqbWmqjHj48GHVqlWJ6Pvvv4+KilqyZElhc1zy5+joaG9v/yjPv1ApoKqMgUVFRRFRLf1kdV26dImXUKhUqZJuA2fGmJ+fH0/Y6tKli+7+mzylpaXxVq7JTk55pLSDRCQMuPM+9n/88Qd/aKCAO2OaO3d6NmpEZbv9W5569GBjx7Jvv83+srfPI+AeEcFq1mTx8cYScF+5cmWOMFeOhHd96NGjBxFJXlRZREYUcOelPy0tLf39/fU0RFRUVLdu3fj104cffqi7csKbxdWuXdswV1QXL7LmzePr1m3k6OgYUbw+qvfuscWLWZMmr1JqWrViO3dmB9wZYxcuMHPzNwbcnz5le/aU+M1kt26xH35gJ08aYqy//vpLdzWoefPmRLRv3z4Rh+B3C//73/90D167du3BgwcijlJwx44dI6KmTZtKMroBZGWxkBAmLLHFx7PLl1mfPqxDBymvVPn9/3/6KYTHM7aOHj3KH546dYpeb6CqP7GxzN39roVFhYEDBwrLCRkZGbxvR8OGDct43lZaWtq4ceOISCaTeXl5FS6zqXg0Go2fn5+pqWnNmjXt7e19fHwMmdB3584dXtWUiDw8PHL0onz69Km3t3eFChWEsHugAdqhGDdPT096vbbAtWvXLCws7OzsDBkb4intLi4uwrsHL4HdqFEj0dcLNRpNp06diGj69OninrnIeLLPkCFDpJ7I2+QuKfPff8zSksXEvDo4ZozeKx4WwPDhjIgtW5b9MCGBmZkxExP9lpe/f/8+X3UePHiwkMmVlpbWtWtXIqpfv/7cuXP79+/Pl7gECoWiVatWEydO3Ll+PbtyhRWhzdeDB6xDB4aKasWzf/9+mUxmamo6ceJEIqpSpYqzs7NQuTFPHm8wYsQIpQ6+56x27doGuDoqIFSVMbCDBw8SUc+ePfV0/sTExMGDB/P3E29vb91X2ps6rOq6dOnSJ598IiQlrOvdm02dyi5d0tNsoVDKYMCdMRYQEEBEFhYWl/A61NGjB5s5k61bl/1VvXoeAXfG2OzZbMoUYwm4Dxo0SPdVxBPeK1WqpNempv7+/vxGT39DGJixBNwzMzMHDBhgampauGqJhSck0NWpUydJp//pvHnziGjGjBl6HV1XTMwDXqPN1tZ2P99hWhipqSwggLm7Z3d0JGIVKzKlMrsbQ2Ymq1791ZNnzmRDhrBt25huCHf5cjZ3LlMq2YEDrHt3ptMNtOT5+mtGxCZNMvS4oaGhRGRvby9uUIxnN1erVk246uL9VcSqR1lYWVlZPM4lbStF/Xn6lBExIYCzbRsbOpSlpzNpNzPNnTuXXt9OIZbw8HAiqlq1qhBW4OudBtvEEBkZyZsieHp6Ci/yxMTENm3aEFH79u2Ty3xKjpDZ1K1bN9F3Mefpxo0bPJTJ33z4/1StWnXp0qX6/uvI0W0ln9T+hISEBQsW8JRqInJ17XzoUNkt7D5t2jQLC4ubN2/qHrx582YRriiKIzk5mXe1FVLas7Ky+Hqh6Pkpv/32GxFVr15dH82aiubBgwe8JoCx1zvKs2nq1Kns3XdZdDRLS2Pr17Nq1SS/FkxPZ7a2jOhVMzF/f0bEDBAlCA8P55c6ixcvFg4mJCQ0aNBAN85erVo1d3d3b2/vwMDA+OL/cc2bx4hYhQoIkBXTnDlzlixZ0qxZMxK1oJZGo+FbdnQT+sLDw5cuXSrWEIWFqjIGtmLFCsrVWUdcvCWYXC4nooEDB+p+wL2pw6qQ0i68NTk7O/v5+eH62aiUzYC7MHqzZs10+xOUcQUpKcMYe/GC1anDPD2lD7hnZWXxlTyhU9Evv/xCBavrUBzJycn8lvDatWt6HchgjCXgzhjr3LkzEa1fv173YGpqqj4+OW7dupVjodjZ2ZmIDh48KPpY+UhLSxs9ejRf0/YpWFaRRqP5999/p09/JnRjsrBgI0aw/fuLVfhCqWTFbgorpZAQRqTfGu554rWnvfRQmqdOnTpEFBoayh/yDhWdO3cWfaAC4hU/Vq5cKdUE9OrpU1apEmvaNHu9igfcJRcSEsKzWkRfRuYNSXRvHvgGMUMGjM6dO8crh3z11VfCQaE1Wf/+/SVvTSa54OBgHsesWbPmmzKbRMHj3TxoWK1atd27dzPGgoKC2rdvz+/iKleu7O3tradqenfv3hXuGHM3WcnTixcvfH19q1Wr1q7dQr6pKyCgzFVl0Gg0DRs21L2bktC6devmz5+vm8SwdetWIrKzs5s1a9b8+fN9fHyWLVvm5+e3bt26gICAXbt2BQUF/ffffyEhIWFhYVFRUXfv3o2Pj8+/kNHDhw/5Wosk1ZbywRdH9ddCShyzZ7OXW5oYY2zcOHb5MsvKYosWsS5dWLNmbORIJmy41EeLoYL5++8T3bsHDRjwKt40eDAjYoa5+jh+/Hjv3r1zhNGHDBlCRF26dNm2bVu06BtCdfuJ6xRxhiLgyXcVKlQQtyopLyb52cvgh1qt5hkDEiZvoqqMIU2fPp2IhCWW69evN2jQYIIe+jvt37+ff8Y1atRId/t7jg6rFy5cUKlUlSpV4kdsbW2VSuXFPKu0g9TKbMA9OTmZJ1588sknhhnR+OUZcA8OZps2seTkVwF3xtj27UwuZ599xjZsYIcPSzJZxhg7fvw4ETk5OQlHciS868/48eOJ6IsvvtD3QIZhRAH31atX53gjWLlyZfny5X/66Sd9D/348WNent/wq3C6a9qjRo1KS0t70zOvXbvm7e1dr149IurWbTcvzubry17fdl8U168bQ9HOYtFqWfXqjIgVrzxP4WRlZfE80PPnz4t+cr4r9ttvv+UPX7x4YW5urlAonknU9Zu3UnR3d5dkdH17+pRVrcoCA5mzM1OrjSXgzvQWB+d1kIRikfqL7Odv//79JiYmRPTzzz8LB69fv85zCfXXMLYEefToEa9klyOzSUS3b9/mQ1BehVyCg4OF79ra2qpUKhEyOnUEBATw20t7e/vtum06CuDFixcrVz6rWjV77blNG/bXX2Ur7L5p0yb+L9cIE4iSkpLKly9fs2ZNKjy5XG5nZ1exYkVHR8f69evz0hBubm78bEb4MfT8+XMe+/j777+lnkuxqdVs0iTm5iZVzJ3HCISLn+TkLBsbJpO9VvnGkDIzM/l71C39paVkZGRXqa9fnxlkP1Npxesxeop9S8OLjurW3OOX6PPmzRN3oIJDVRlD6tevHxHt2bOHPwwMDCSivn376mOsyMjIFi1aEFG5cuVyXBRt3LhR6CHPdezYcd26dcbQyxfepMwG3Blj4eHhvM0Jb8gEI0e+lvbQqxcLCGCLF7P9+9nIkSw8nOnWJhw2jM2YkV1Pb8UKw0+WsVz1P3InvIvlwYMH06ZN010p57H+GjVqqCXppCc2Iwq4JyYmWlpayuVy4W9xx44dRNS2bVt9D71+/Xr9fXYWxI4dO/iHaKdOnXJUD3j69OmKFSuETEMiql+/vo/PKrFqe5w8yaZNY2+O85cY48YxIvb994Yb8cCBAzwNQR8n3717N71evorvKNy6das+hnsr3kpRkkUpA+ABd8ZYv35sxQojCrjro9LLzZs36fUUMP3VrnmrDRs2yGQyuVyue19x7tw5CwsLLy8vcZPUSqgcmU0i3lnl6FC6c+fONz0zODhYSEIvV66cl5dX8avcPHjwYMCAAfyc7u7usbGxRTtPejrz82M1amSH3Zs1Y/7+0jQ6NjytVtu2bVvSybwzHp9++ikRNWjQYPHixQsWLFCpVDNmzFAqlWPHjvXw8Bg0aJCbm1vXrl2dnZ1btmzp6OhYu3ZtOzs7voc0H1ZWVhs2bMgxltDlUkI//PADEbVs2dLAy5bii45m9vaMiI0ZY/j1K7VazRdcr169yo/89ddf9vbNx4zZY+CZCPiVXqtWrfQ7TFISa9uWETEXF6azUwQK5Z133iGifD7LikboKi9Ulfn333/1d/1fEKgqY0h8M5nwpvTjjz+SfjY3c7qNfFQqlW686dy5cwqFwsbGZurUqeHh4XqaAIioLAfcGWM//fQTEdnZ2Ym/OawUSU9n/frlcVyrZT4+TCZjROzjjyXIguC1rw+8TMvn/d50E95FcerUKQcHByKaO3eu7nHebc7Pz0/c4SRhRAF3xtjw4cOJ6LvvvuMPMzIy+JW3vj9UPvzwQ3o9y9LwwsLCeF+UmjVrXrhwISMjIzAw0MPDg5fxJaLy5ct7enoGBQWJ2LcnOZn17cs++ogplezyZbHOKo1t2xgR69HDcCOOHDmS9FZXPTk5mae0Cwmn/H5+7Nix+hiuIHhkx8BllwxDCLhHRbHq1dnKlcYScNdHL1Pe4XDcuHHCEb12Zy3IfBQKhe7O6Dt37shksnLlyuWz46es2bx5My/50qZNm9tilB3I0aG0IIVcgoOD3d3d+Y/Y2Nh4eXkVuY1zQEBAxYoV+cKPKNdSGRnM35/Vr58ddnd0ZH5+LCuLnT792oryunXsxAn2668sLOzVz373Hbtzp/hTkMbff//Nb2bE3XlQTJcuXTI1NVUoFBcuXCjCj6vV6vj4+KdPn0ZFRUVGRoaEhJw/fz4oKOjjjz/moU8hqJ2YmPjxxx83adLEkL2F85SWlla1alUrK6vSEAQ5f57xqoUGX4XNHcfk1+c//PCDgWcimDBhAhEtWLBA7yM9fswaNWJErGdPZgRrSCVOXFwc36ysj0qkqCpTZmVlZZmamsrlcuGKlDfKXr58uV7H5R3s27dvr7uizDswNWnSRK9Dg4jKeMBdq9XyvtNdunQpHanK+rBgAdu3743f3baNWVkxIubqatAtcPHx8QqFwtzcXPcjNTIyUtx2m/7+/nwbRJcuXXRzuZ49e9aoUSNeWLVq1aoeHh5+fn5Fzs2SnHEF3Pft25fjUnvKlCm6lzj6oNFo+GXTjRs39DdKQZw6dYovJVlaWvLGTURkYmLSv3//bdu2IfaUv+fPmakpMzVlhmml9uLFC2tra5lMJkrwK088pXTLli384ZUrV4jI3t5eqgQ6vrFoutBatBQRAu6MsYULWZ06xhJwF/KqQnh1eTHwhZO9e/fyh7xDb+XKlSWsmZ7jlnXp0qVENHLkSKnmY5yuXr3Kl0YqVap06NChIp8nR4dSodFlDpcuXVq0aFHumtqnTp1yd3eXyWREZG1t7eXlFVOYWg9xcXG8AiAR9evXr1A/+1YZGczPj9Wrlx12b9CALV7MTE2Zt3f2E8aNY3/8wfr2ZboZkK1bM31WyNc7vnBiPIUONRpNx44diWjmzJninjktLY2/H27bto0fUavVTZs2JaLffvtN3LHyd+TIkSlTpuj2tUtMTLS3t69atWopaS1++DAzN2dEzLCR7k8++YSIvvzyS/7QEOVc8qXRaHjlQAOto0RFsWrVGBEbMYKV9K0SBvfrr78S0eDBg/VxclSVKbN4Y4C6desKR3r16kUGKSB29OjRHKUb/vrrLyIaMGCAvocGsZTBgHuOMMXjx4952NQI92JKLiuLeXuzt7YluniR1anDiFjNmky8eMBb8P6oPXv21NP5MzIy+Eo2ESmVSt28mbCwMF5T19bWlgdpOblc7uLi8sUXXxw9elTyPJtCMa6Au1AUW9i1d/r0aSJycHDQ37LY2bNniahevXp6On8BZWZmmpmZWVhYjBo1it8/169f//PPPy9yCmEZ1KULI3r725Yo1q1bR3puksY3LY4ZM0Y4wvtJ6qNkfEGcPHlS2i20+qMbcE9PZ40bG0vAnTE2derU3Nusiix38viCBQvIyAqm82jdmwLBZVliYuL7778vbDQuwtpbdHS0bofSfHajf/DBB/Tmuu1hYWEeHh487G5mZqZUKu/fv//W0QMCAnip6/Lly+tvk2BmJvP3Z40bs8qVmZ8fGzqU1a7N+Hp6qQy4nzt3jtf7KshfgQHwa/RatWq9ePFC9JPzZj+Ojo5CvSlee7B69er6SGvNU3p6Ot/oqnv3OG3aNCJq3759iS8pI9iyhcnlTCZja9caZkCtVsvL9AsLzAYq5/JmR48eJaIGDRoYbsgLF5itLSO6vXCh4QYtFXr37k1E/v7++jg5qsqUWfxdSDdMyfejS7IK6OPjo4/FbNCfshZwj4mJadKkidDwgPPy8rKysiqVW+SL6cAB9uGHTKlks2e/5ZlPnrBu3RgRs7Zmer0/TktLCwgIcHd3VygUNWrUcHBwED71RBQbG8tv9i0sLNa+fpG5detWYUv33bt3GWNRUVF+fn7u7u48F56zsrJyc3Pz8fERMSVRf4wr4M4YmzlzJr1eTZjn9OnvX+nChQuJaMqUKXo6fwHxPNOGDRtqtdqMjIwrV67wsPsB3X7GkK/Fi7OrXBkA/9vR6yfo1atXc6S0T548mYi+/vpr/Q2aD7VazYNlkZGRkkxAfzIyWGDgq4enT7OX/USl999///F3BlHOxpPHR40aJRzh3ZmKkzEtrpiYGLlcbmVlZbDwWcmi22fb3d09ISGh4D8rdCi1s7Nbv359/k8+fPhwt27d+GVN+fLl582b9zRXh+7w8HBPT0+FQsHD7p6enm96c3j48CFfKiCi9957zwChYbWaXb3K/P3Z+PFs7VrWqxdjOgH3GTPYhg3ZX3XqlOyAO2OM/9lOmjRJ6omwuLg4vj9v9+7d+jh/nintvHCznsq75cYXKRs3bizs9A8JCVEoFCYmJhcvXjTMHAxk5UpGxExN2f79BhiNl1CrU6eOkERsuHIubzB9+nQiUqlUBh318OHQXr0UMplQYBPeKiEhgUefC1IerWhQVaZs+vnnn4lo8uTJ/GF6erpcLjc1NZUkv5JHbw28owuKo0wF3DUaDQ+P9NMpSR4REWFpaUk6W/ahaNLT2fjxjIjJZEylEn8X3MmTJydMmMDbovJQuL29PRGZmJjMnTtXxEobJ0+e5JseatasefbsWeG4Wq1WqVQ8l+vDDz/M3TUwNTU1KChIpVI5Ozvzp3HVq1f39PQMCAgwquqauowu4H7x4kUiqlixonAn8+233/I/dz2N2LVrFyIK1I23SWHLli1E9P777wtH+JWc6I2AS7GLFxkRq15d742+YmNjFQqFhYVFoaJdRVC/fn3dhJrAwEAi6tixo14HFeTO1ONl6/VduFBaixczExNmPPvehC3tl8Vos9ClSxfd5PHcDVQlt2LFCiL64IMPpJ6IUTtw4ACvgd6wYcOCvDB0O5T279+/4FXwdOu28wIyuTddRURECGF3U1NTT0/PHPXZAgICeDsWvSa254kH3LVa1qkT27z5VcB9xAi2YEH2V7VqJT7gfv36dRMTExMTk2vXrkk7k2HDhpHeqjpwuVPaeRpy+fLlc68Jie7mzZsWFhYymezIkSP8iFqtdnZ2liAsaxhz5zIiZmnJRK3amafPPvuMiD799FP+0NDlXHLRarU8lfXMmTMGHnrPnj0KhUImkyGWWkAbNmwgol58ZVU/eFWZWrVqSVJVJjk5edSoUTmKWP7++++EqjJ6xreZLlu2jD+MiIiQcGdD165diejff/+VZHQogjIVcOchuypVqsTFxfEjaWlpLVu2JCPbSF2iLVvGFApmZpYxebK3KBtJY2NjfX19+V8T5+zs7Ovr++TJk9TUVJVKxe/vGjRocPTo0eIP5+fnx/tT5i7azrepmZiY+Pj4vPU8Dx8+DAgIUCqVvOEqp1AonJ2dVSpVUFCQUdWcMbqAO2OsVatWRLRr1y7+MDo6mrfBea6H4txqdfzp0+VWr+4keTbll19+SURfffUVf/jkyRN+Aylis8RST6tlNWowInbxon7/0JYsWUJEHh4eeh2FvexhIKR3JScnW1hYyOXyR48e6XvomJiYFi1aHD58WPfg+vXriahv3776Hl1CO3YwIqa7qHH9Ops7l23fLtmUlEqlWFl+8fHxf/75p/B2t3jxYnq9garkunfvTkSbN2+WeiLGLjo6mvf8sLGx2bp1az7PLH6HUt267ebm5kqlMnft9aioKKVSaWJiQkRyudzDw+PatWuPHj3ipWl4UMDw68c84M4Yu3iR1a3Lhg0rhSVlOH5TN27cdAnncPDgQSKysrK6o+cutLlT2vv06UNEs9+6KbfYeEWmjz76SDjy008/EVHt2rUlv4zUC62Wp1Slt2ql7+WcRo0aEdHx48f5w2PHjpGBy7m87ty5c0RUo0YNSa7DV61axe8e/zJMncQSbsiQIUT0yy+/6G8ICavKZGVl9e/fP3fCzcSJEy0tLQMCAvQ9gbKMbyMQ+h7t2rWLJy5IMhmeFhodHS3J6FAEZSfgfu7cOd5e+B+dTeK8w7CTk1NKSoqexi2DDh1iffpMJ6JWrVoV+Xo7PT09MDDQw8OD37jxRBYvL6+wsLAczzx9+jTfWiqXy5VKZZGj/BkZGTygQbmKtl+6dIkXba9cubKQzlJwERERPj4+bm5u5ubmQvDdxsbGzc3N19dX37ckBWGMAXde9EA317tHjx66bxkiio/fGhJCN27oMSeigHgfOaEV2OHDh4nI1dVV2lmVOPPmnW7SZOTixfrdh8urcBhgV8TevXuJqEOHDsIRvvq3adMmvY778OFDXqO2R48eusdnzZpVrly5txajKNFSUpi1NZPJmBAb/PNPRsR695ZsSocOHSKiFi1aiH5mnpgp3EhI7smTJyYmJubm5rl7dUJuaWlp/FI+97ULJ26H0tx123MH0CMjI//3v/+ZmpryKzMbGxsisrW1/f333yUJWgkBd8bY9OnMzOyNAfe7d9mJE0xvzWL07v79+25ux6yttVIVM0xNTeWXy0ImoP7kTmkPCwuTy+UWFhZ6jUTwLNpKlSoJZSsePHjAt99KvktSj7Kynn30UXN7+9q1a+uvGNSlS5d4ZpzQsenmzZszZ86UsM3a3LlziWjatGlSTcDb25uILC0thUUIyFNqaqq1tbVMJtP3mi4vMWT4qjI8+aZSpUrXr18XDvLUHzMzM+Q76xX/XBP+5L///nsimjFjhuFnkpycLJPJzM3NS0+nkDKgjATcnz9/Xq9evRxb/Xbu3MnTdEpbtT0jEBkZ6eTkxD8XChuhDgkJ8fLy4juP+V+Qu7t7QEBAPinhmZmZPj4+/ObO0dExRzpmQeRTtH3Lli28aHvbtm150fYie/HiRWBg4NSpU3kCh6BRo0ZTp049of+dmm9ijAH3hw8fmpiYmJmZCbc0vEFl9+7dRR/rzp3/hYTQw4c/iH7mwuLFQ65cucIf+vr6EtHEiROlnVWJwzeb67WXKa96VKlSJQNU4UhNTbW0tNRNaV+2bBkRjR49Wn+DJiQktGnThi+cPnv2TDj+3XffEZGJiUmOXiilzwcfMCK2YkX2w4QEZmbGTE2Zzh+GQWVmZvIMZXETDHM3UJWcn58fEQ0YMEDqiZQkurvzdOu96KlDaUHqtt+9e9fLy8vU1LR69ert27eXMBtLN+CelMQcHNgff7B+/djLHXSMMdamDdu0iSmVbPVqZkybPQrts8+kXBqcM2cOEbVs2dIwuzh5SvusWbOEIyNGjCCi8cLft9ji4+N5cE23KyOvnj/UeLps60dqaiovR+bk5PRM1A/C+/fvb9++fdasWQ0aNJDJZAMHDhTx5MXEO0gVIdlKRLxuePny5RGwyMfu3buJqH379voe6MSJE/R6VRmev6nXqjK8aYSlpeXJkyeFg1u3bpXL5TKZbMOGDfobGjIyMkxMTBQKhXDHxzM0V65cafjJ8NvPZs2aGX5oKLIyEnAfNWoUEbm4uAj/Uu7fv8/vQVYIt9MgqqSkpIEDB/LITEGK/T548MDX15fXEeGcnJx8fHwK3nY7LCysbdu2RCSTyZRKZVJSUgF/ULdou24LVt2i7aNHj85dtL04Hjx44O/v7+HhwbuXEdFC6XrRG2PAnTHWt29f0tkbmJycbGNjI5PJoqKiRB1He+mSQ0gIpaaKUBy5OFJSUuRyuZmZmXCnyltF4U2qsBITE3nfJP1VV8/d11ev+GZG4ZL6+vXrfMeNnhIcnj9/7uLiQkSNGzfWLa21fPlynrK6ceNGfYxrVDZvZkRMd4Hv3XcZEVu3TrIpjR07logWL14s4jn5XqKRI0eKeM5i4kG0P//8U+qJlDDnz5+vU6cOETk4OJw8edIAHUrfWredMcaLyZSgdwytVsqNLMWXkMAqVmRELCjI0ENHRETwrcSnTp0yzIi5U9pv375tZmamUCgiIiL0MSK/KuvWrZsQaztw4AARlStXrph7R0qE58+ft27dmm+5K07xnOTk5ODgYF9fX09PT54QJ7C2ti5fvrxUFdtz4JWaK1WqlJWVJeE0NBqNh4cHf283hm3RxolfIBmgx2zuqjJ8O7L+qsps2LBBJpPlqCx09OhRvnHeANuJyjh+z+Xo6Cgc4XvudYtmGExAQADpuUUKiK4sBNzXrFlDRDY2NsKNgEaj4f9S+vXrh9rI+qPVavlOOHrDRmfGWEZGBi8dw/PTiahixYpKpfLChQtFGJGnuvM0r7p16wYV4H5DSAvr2rWrbmTp6dOnhSraXmRqtfrUqVPe3t4SXl4aacCddxDVzVYYPXo0EX399dcijpKScjEkhMLDazIm8XsBrxTZsmVL4QjfdvHff/9JN6mSiteA1lNNQ41GU6NGDSLS7aqsV3yvw6hRo4QjfDOEPrp4JScn8yy2Bg0a6KbK/vHHHzKZTCaTGbjhoVSSkpiFBZPL2cumL2z1akbE3N0NNIGgoKAcK0a8X26jRo32iIdvRhMaqEouISHBzMzM1NRU3AzKMuLhw4fdunXj4e9y5crxpMgcu/ZEd+3aNU9PT17+z8TEZMmSJbrf/eSTT0jPRXXFtXYtW7VK6kkUz+LFjIi5uOi9c7gurVbLP3Y/+eQTw42aV0o7L7ygj3jEmTNneFbE1atX+ZGUlBQeLy7dXcR1xcbG1q1bl4j69+9f8DC0Vqu9du3an3/+OWnSpNatWwvVQoUbv759+y5YsODAgQN8mdBIIstff/01vV6sXyoZGRn8prRBgwa6N6vAqdVqvjXeMC2jDVlV5sCBA/zfi+6bTEREBM/XmzJliugjQg68sKduW9qaNWsSkSTvUYsWLdJ97UGJUOoD7pGRkfymQ3e3DY8C16hRQyhWAfqzZcsWS0tLIurSpYtuk7+IiAiVSmVvb88vtxQKhZubW/6lYwro8uXLvIuYTCbz9PR80227RqPhqSpENGPGDN3rxrCwMH4JbW9vL+0+QsMw0oB7WlpahQoVdK+feBXjBg0aiLhQFhf3XUgI3b07QawTFtnatWt1g6pardbW1paICr7LAwS8rOH//vc/3YN3794NCAg4ePBgUFDQuXPnQkJCbt26FRUV9ezZs/j4+IKfnDeFa9iwocEWbKOiovhNqVDYdOrUqUTk7e0t7kCpqak8aFK7dm3dS0l/f3++cVWSHZRScXdnRExYX3jyhJmYMHNzZoDS4ocPHzY3N2/RooVuW5Jr165ZW1vzaxqxWFtbW1lZGc9GdV46rE+fPlJPpKTKyspSqVRWVla8UYzBOpTeuXPHy8vL3Nw8RyXZefPmkdjL5Prz22+sFLzDpaaymjUZETNkF73ff/+diKpVq6a/jWV5yp3S/ujRI/4mqVt7ofiysrL4Jlzdj93Zs2cTkYuLi7rkFv4vvMjIyKpVqxLR6NGj87kKSkxMDA4O9vHxcXd3F+qEciYmJk5OTp6enn5+fhEREbp79TIyMvgmJ2OILPPCevv27ZN2GlxiYmKbNm3s7Ox092IDx3PMmzZtapjhDFZVJiQkhDdB+eKLL4SDMTExtWvXJiIPDw8U8jYAXsZT2NOcmprKV14ledvn8dPVq1cbfmgostIdcE9PT+eflWPHjhUOBgcHKxQKuVyO9hIGc+HCBb77ytHR8cSJE35+fvzvheOlY3Rj8cWXlZXl4+PD91pVr1599+7deT5t0qRJFhYW614vEbBlyxYrKysSo2h7SWGkAXfG2Mcff6x7naHRaPgrScQNyzdudAsJofh46RM8eZWSRYsW8Yd3797lt6/SzqqEunz5Mv/T070b5BGBfMhkMjs7u0qVKjk6OjZo0MDZ2bl9+/Zubm45Nhl8+OGHRPTNN98Y8jdq0KCB7it///79RNSuXTsRh8jIyOjXrx8R1axZU7dw044dO3h+jV43+xihdesYEdON/XbvzoiYnrvVsvDwcL7WqJsr+vjxY979o1GjRgPEw/viOjo6xgmZ/JJyd3cnojKyi0J/HBwciMhg0XZB7qoaP/74IxF9+umnBp5JERw8yLp1Y0olmz5d6qkU26pVjIg1bMgMUkqdPXnyhEdU9bSrLH+5U9q//PJLIurSpYuIo/D+JQ0bNhTaXYSHh5uamioUitDQUBEHKhHOnz/P44C6vdGysrIiIiL8/f2VSqWTkxOvyCmoXr26u7u7t7d3UFBQSkpKPidPSkriFUJdXFx0l5wNzAgbnMTFxempVlJJx3NQdKPSeqXVannIW9jnqo+qMrdv365WrRoRjRw5UriXSUxM5Ct/Xbt2NZ5XZunGP2J+/vln/jA8PJyImjRpIslkOnfuTNj7XtJIGHD38fHp0qXL/v37+UN9BNz5jp/69esnvsxHS0hI4CUu9drZAnKIiIhYtGhRs2bNiIhfoRGRvb399OnTw8LC9DduZGRk165d+XAeHh5Pnz7N8YSMjAzdSxdetJ0/X/Si7cbMeAPux48fJ6IaNWoIy8j8b2jSpEminF+tTgoNNQ0NNVGrE0Q5YXH8NG5co4oVhV6UfAubnvpalAX8vV73Tvjvv//28PDo3bu3m5ubi4uLs7Ozo6NjvXr17OzseHzzTXbpNNfTWy+Bt+Bds7766iv+MDU11crKSi6Xi5UClpmZOWDAACKqUqWKsF+eMbZ7925e8MvACwzGIHej1BUrmJ2d1svruv4GvX37Nm8qMmLECCF3KSUlhReYatmy5fPnz0UcLjU1tVOnTkTUokULA6em5paUlGRhYaFQKMRdgS+DWrRoQfrZ3l5YfMvCuBLdh7QEUqtZ06avbdDRK17uT3fHvSHlTmlPSkriFR4OHDggyhB37961trYmIqFUpUaj4e/JM2bMEGWIEodvwyKiMWPGzJw509XVlW9nFlhbW3ft2vWzzz7buXNnbGxsoU4uLDD37NkzPT1dT79C/vhioVE1OIE8CUXVz58/b7BBeYxp9uzZ/KFarebbPsSKazx9+pTnQ/To0UP4J5CRkeHm5kZETk5OhdqYC8XBqzkJnyZ//fUXEQ0YMECSyfCXWVloGVKa5A64a7XaHj16eHt7G3jZTPSA+4EDB2QymampqW6R2+HDhxNR+/bti1+3BAqOd2WbNGmSl5fXvHnz3N3d+/TpY5iChxqNxs/Pj18nV61aNZ9CtQYr2m6EjDfgrtVqea1qYUPKlStXiMjOzk6US/CEhJ0hIXT9etfin0oENWowIu3LMO6JlSs/bt58Icq0FdXEiROJ6Ntvvy34j2g0mvj4+CdPnkRFRd28eTMkJOTMmTNBQUG61cf8/f1FT50riL///puInJ2dhSN9+/atUaOGKLs91Go1r4RbuXLly5dfdQ/+559/LCwsiGjmzJnFH6Uk6tOHETGhf2dsbLyZmbWVlVX+CXpF9uTJk9y3WJmZmbyDtJ7y0J8+fdqkSZMcg0pi8+bNRNRdt1MtFAmv5H706FGpJ8J2795NRAMHDpR6ImVOQAAjYtWrM/28V71y9OhRmUxmaWlp4EVoXbxyke7nMo+WtmjRQpSSC3znjaenp3Dk119/5Vnb4q6AliybNm2Sy+V8bYNzdHT09PT09fUNDg7OyMgozsmjoqJ4eq/u2rMh8UxSSTZtQKHwDlg1atQwZF++N1WV+fLLL4t/8tTUVFdX1xyZEFqt1tPTk4gcHBzKyAZ8I8G7VkRGRvKHPj4+Ut0WJSUlEZGVlRVaUJYsuQPuPPBNRA0aNBBSLQ1A3ID7w4cP+QrQ0qVLhYO//fYbEZUvX/727duijAIFxF9mQtOsixcvkmH34kRFRfE2uTzVPXdN7LJWtD0H4w24s5ctF3TLQjk7OxPR9u3bi3/yu3eVISEUF7eo+Kcqrvh4RsRsbF61ORs9mhGxNWsknVYJxgM9rq6u4p6WZ5cYvnxeWlqalZWVTCYTGpmKlY+s0Wh4fmL58uV184OCg4P5WqWXl5coA5VEa9cmd+sWNmHCCuEIzwfXR5fRPNPYtVotL8BXuXJlofO76O7fv88TxIYPHy5hSdAPPviAiFasWPH2p0K+Bg8eTEQ7d+7kD48cOdKwYcMcPS0Mg29TM/wKJWi17J13GBH77rs3Pmf3bubszJydmZsbc3NjQ4cyDw82YQJTqW5+9tlnKpVq0aJFPj4+v/76q5+f3+bNm3MXs05PT+fLdd/lM4z+CSntwr7ptLQ0XvNh48aNxTz5tm3biKhixYrCzpuHDx/yjoXCP7Ey6/Lly8uXL1+4cOHBgwdF3yMlVFczfGfIhw8fKhQKc3PzpKQkAw8NhTV37lwimjZtmiEHzV1V5uTJk9OnTw8JCSnmmTUazZAhQ4ioZs2a9+/fF47zuqO2trbG03SnLEhPT1coFCYmJkKuLo9q/fbbb4afTGhoKL9HMPzQUBx5lpQ5fPgw343K93IZZk8qD7iLktik0Wh4SOTdd98VVoCuXLnCC3Nv3ry5+ENAofAYghDI3rRpExENGTLEkHPQarV+fn68oE2VKlX8/f2Fb+kWbY+OjjbkrIyEUQfceRVFa2troZLj8uXLO3XqdPDgweKf/N696Rcv2qWkGEH9zWPHGBHr0OHVkdatGRHT2aEDhZKcnGxubq5QKMLDw+Pj40VJSY6NjVUoFGZmZm/qxaxX/fv3J6IcTSeKSavV8q0A1tbWwcHBwvFTp07xTfrjx48vy5kUT548MTExMTc3FyrT6Wmb+ZvS2D///HOez3L69GlxR8zh8uXLPIRk+NAGl5KSYm1tLZPJDF95vPQZP3486XRJOnLkCN/BYPiZ8HYazZs3N/zQEBTEzMxYPiU0f/+dEeXx1bZtEOWlfv36Oc7AUyKaNWsm+cbh3CntvBF93bp1i7NxJzExsUaNGjlulfmGsL59+xZ30vA2//33H99mZ+AVHZ6jh605JQJf8zN8ulyOqjJimTZtGs+ACQ8PFw7yLTWmpqb//POPuMNB/q5evUpEDRs2FI74+Ph07Njx+PHjhp/M1q1bieiDDz4w/NBQHN99912dOnVatGiRo+RUVlbW8uXLK1asSEQmJiZTp0599kyPpaLu3bvXr1+/ypUry2QyV1dXX1/f4pSlXbx4MQ+qCjetaWlpvMPExx9/LNKUoRB4goKQGsK7GQm1iA3pzp07fDGGiNzd3aOjo4Wi7Z6enmWnaHsORh1wZy/3deoukhRfRsbdR49+jotbkph4mDEjiCeuXMmI2EcfZT9Uq5mlJZPJGJJrisHNzY1/jAksLCzs7OyqV6/u6OjYrFkzZ2fnLl26uLm5DRw40MPDY9y4cUqlcubMmSqV6ptvvvHx8Vm5cqWfn9+WLVsCAgIOHTo0YcIECa91fvnlFyIaNmyYiOecNWsWj+fqduC5ePEij72OGTNGwnxnI9G9e3fdtXp9NFIT0tjt7e1109hXrlzJb7FEWV98q6NHj/LQxpIlSwwwXA47duwgok6dOhl+6NKH/7sW9njyfYWtWrUy/ExiY2OJyMHBwfBDA2Ns5062aNGrjXNr17Jr11599/lzFhLCzp9nQUEsKIgFBLCAAObnx/z97y1ZssTHx2fu3LkqlWrSpElKpXLEiBE56pXfvHnTwsJCJpMZQwO3jIwMvlN1w4YN/IharW7WrFmbNm3u3LlT5NN+8sknRNShQwfho/DQoUP8QxPbpQ1j9+7dCoVCJpOt0c+Oz/T09Ny3f3369BE9vwH04caNG0RUqVKlrKwsAw+du6pM8fEYloWFhW4GzJ49e/g/gT+F+oZgKHv27CGifv36ST0Rxhj75ptviGjOnDlSTwQKJysry9HRkYgUCsWkSZN0C9UyxuLj4728vExMTKytbRo3jvXxYcWrx5aHFy9efPHFF/wWz8rKSqFQ8KiIiYlJ7969V61aVdjI+7lz58zMzGQyme7GR95euGHDhtgZZngxMTH8o1A48v7770u41UCr1a5atcrW1paIeL8fMzMzSTYGGQ9jD7ivXr2aRO3wkJ5+89KlqnFxix4//i0m5nOxTlssU6YwIrZsWfbDa9cYEatXT9I5lXipqalz5sypUaOGnZ1djnZeRWZpaTlmzBhJkr5v375NROXLlxcrl3DOnDn8HVC3s1x4eHilSpX4uoLhb2CM0IoVK3KssvCqVoGBgWINwdPYy5Urp7sZeevWrXK53MC3WEJoY+3atQYblBs5ciQR/fjjjwYet1T69ttvSaeYbHR0NBHVrl3b8DNJTU3l4QPDDw2MsaVLmULBhLBhv35s717RTt6rVy8imjBhgmhnLB7eoVc3pT0mJqaYa8bHjx9v2bKlkJWWmprKGwvpViwFfVu1ahUPVfz111+inDA2NjYwMFClUrm6ulpYWOQIrCckJJiZmZmYmOQIi4AR4hFqSfpy564qU0ybN2+WyWRyuVy3aOrx48d5mKys9ZczErwPoZGU1hwzZgzpbF6EEiQhIUGlUpmZmRFRhQoVfHx8cuy9u3z5slK5le8ybN6cvWzQXlxarTYgIIC/U8lkMg8Pj+jo6GfPnvn7+7u7u/P5EJFcLnd1dfXx8bl161ZBTnvlypUWLVro7u/Zt2+fTCYzNze/cOGCOFOHwuC5IF27vmpLyXvCidXHu2gePHjQq1cvHogzhtQcaRl7wD0xMdHS0lIul4tVauDx41+iooaKcirRdO3KiJiwVXD7dkbEJOqBXoqlpqbGx8fHxsZGRUVdvnw5JCTk2LFjQUFBu3btCggIWLt2rZ+f39KlS318fL744guVSjV58mSlUjl8+HAPD4/evXu3a9dOJpPxNHOhxpEh8b3tY8eO/ffff4tZJOfKlStmZmZmZma6q9M3btzgbcoGDx4seYkAIxETEyOXy62srJKTk/kRfoOn21iiOPJMYz9y5AhfEDZ8WIdvpTc1NdVdhtG39PR0vgwuYd/F0oRvP588eTJ/yBtt2djYSDIZHiwQcUcIFNzSpWzkSFarFnv6lDFRA+68f3jlypWNJyip0Wj4duaff/5ZxNPqrq9/8cUXRNSiRQt8PhoYL15kaWlZtEoOiYmJ//7777fffjtgwADdLq880LBgwQLdJ/PXtohZPqA/7dq1IyJDdh3UJW5Vme+//14mk+m+fV25coXv0504caIoQ0Bhff311+bm5kOHGkXQgNdolqSaDYjixo0bvAc7ETVq1GhvrguywEBWv352cT83N3b1arGGO3/+PG88RkQuLi4nTpzI8YSEhISAgABPT0/es41zcnLy9vZ+a9uwtLQ0oTV6TEwMz9UT9+oLCu6nn34iokmTJvGHGRkZJiYmCoVC8votZ8+e5S8/aadhDIw94M4YGz58OBEtXrw4z+9qNJr4+Pi4uLjo6NupqZdSUkISE4MSE/+Ojw94+tT/yRO/hw9/iItbHBOjundvxuPHvyYl/Xfxou2jR8vVaj2WyiqcSpUYEXvZD5N5ezMiNneupHOCPOzdu5cXyWrcuHFERITBxo2Pj/f09CQi3tySiExMTJydnVUqVWBgoNBjs1D27t2r2/wzMjLSwcGBiPr06VOcorelD7/GFf6shC3MarW6mGfOM41d6BQnem3QAuJBJSsrq1OnTol+8tjY2Nz16AMDA4nI2dlZ9OHKpi1bthDRiBEjhCOmpqZEJEmUsHr16kQUGxtr+KFh6VKmUrH587Pr1fXrxwIDmVLJZs5kKhX7+mvm48OWL2d+fmzDBhYQwPbuZUFB7NSpxyEhIREREVFRUTExMfHx8cJyI/fs2TMetRTqtxgJvv2/cuXKQtcNEV2/ft3c3Fwul+vjjRHeysvLi2/yK0jGllqtjoiI8Pf39/LycnZ2lsvlukH28uXLu7m5eXt7BwYG5m7Jw5tOr1y5Uj+/B4gmJiaG51SK0qWpCNasWcMvllxdXb28vPz9/SMiIoqzBTY09FVTsdjY2Dp16hCRu7t78a82oWiePn3KL8hHjx4t1ctMULlyZSLS7fMEJVFQUFCzZs34h5Gbm1uOYEJ6OvPxYeXKMSJmbs5UKvb69VeBxMbGKpVK/sHn4ODg5+eX/26/1NTUwMBAT09P3r9NN/J+5cqV/MfSaDQ9e/Ykor59+5blrm/SUiqVugse4eHh9HrzCalcuXKFiJo2bSr1RKRXAgLu+/fv5yUX3NzcnJ2dW7Zs6ejoWK1aNTs7O6EQFRHVqVMzJITy/4qM7MsYS0o6cuvWkIsXK8TFLZL6l2MsNpYRsYoVXx0ZOpQRsU2bpJsTvNHNmzd5Y3EbG5uAgAADjLhr166qVasSka2t7ezZs2fPnt2uXTvdV76pqWmnTp3mzp178ODBoqXe37t3r27dukTUuXPn5CJ8tpdqfEupbqPUDRs2PBCWx4oqzzT227dv800GI0eOlKqAvlar/eijj3jc6vr168U824sXL4KDg319fT09PZ2cnIioWrVqOZ4zduzYfJZUobAOHjzIV86EIzw8KvTSMSR+X2HI5UkQ8IB7aiqrX5+dOMH69WM7duTdKFX3q1u35ZQXMzMzOzu7KlWq8FSmbt26GeHNlaurKxHlyFkuPq1W26NHD9LZOAIGptFoPDw8ePggz7r8Go1mz549X3zxRY8ePXSjBkRkbm7+zjvvTJ8+ffPmzfkX309JSbGyspLL5VgjNH5qtZpXDfbw8EhISDDk0FqtdtmyZUJBBl2VK1d+77335s2bt3v37piYmKKdPykpqXXr1kTUvn17XJNLa8+ePeXLlyeiVq1aFbDghj4kJCTwG08j/NiFwsrIyFi6dCl/XZmamn799eociXNPnjAvL6ZQsHr1WKE2iKalseXL9/KMdQsLiy+++KJQYYG0tDQeeedz4xwdHb28vIKDg/N87S1cuJCIqlatWpwWrFBMvOFl0MtSRLzB8uDBg6WdFWPs7t27JFFRU2NTAgLuWVlZCxcuzNEAUyCTyezs7KpWreri0ubKleZXrzrfuNHz5s13o6I87tzxvHtXef/+rJiYOXFxPg8fLnv+/NX+nYyMOxcuWKWn35TwV2OMsUOH+D3uqyNNmjAidumSZFOCfKWmpo4bN46//JRKpf7yRp8/f84XLXkoPDIyUvhWcnJyUFCQt7e3m5ub7kW/QqFwdnb28vIKCAgo4B3Iw4cPeamvjh07SlIqx8jpo1FqnmnsT5484X8RPXv2lHaTgVqt5ll+9erVK+zSQlZW1sWLF1etWjV+/PjmzZvrrgwRkZ2d3bvvvqt7A5mZmcnf24sf3Afu3LlzRNSuXTvhCH9dSfInzK8CdVvAgcHwgDtjbO9e5uzM3nuP7drF/PzY0qXMx4fNm8dUKvbJJ0ypZB9+yDw8WP/+zM2N/e9/652dnZ2cnBwdHR0cHOzs7KysrHJcd5mbm0+fPl3iXy8vwcHBPCpx48aNou39ytMff/xBRNWqVYuPN5qdkWVPRkZG7969iahBgwZ5Lh/qloupXr26u7u7j49PcHDwWz+71Wr15cuXf//9d37+jh076uc3AJGtXbuWh5YcHR1zb57Tk6dPnwp1IZRK5cOHD/nVuLu7O0+Y0MVfh3w7RQEDUpmZmbxt75te52Bg169f5/kitra2u3bt0vdwoaGhEydOzFHymF/XtW7dWt+jg8E8ffrUy8vLzMysUaNLFSsyX1+WYyvLuXPsyJFCnDAwkDk6Mnv7h7a25d3d3YtTpVOtVgcHB3t5efGEP65u3bo5Iu9nz541NTWVy+VBYlWdhyLh99HCDfv8+fOJ6IsvvpB2Voyxp0+fElFF3azisqoEBNy5I0eOBAUFnT9/PiwsLCoqKjY2Nj4+vgh9HbXajJf/kx4WViUt7ZrYMy2kH39kRGzq1OyH6enMxISZmDCU9TBufn5+PNLdtWvX4uc753bw4MGaNWsSkaWlpY+PTz75zrrBd540nTv4/qYwwePHj/l1ZJs2bRBKeBPeKDV3ub2iyTONPSUlhdeucXZ2NoYO76mpqTxXtEWLFm9dueE96PgrMEdszsTExMnJydPT08/PLyIiIvfLmHd6adGihb5+k7InMjKSiOrXry8ceeedd4hIklIYAwYMIOlq7JZxQsCdMTZoELOyKlYN9/T09Pj4+IcPH/LcmXLlyhlnMMjd3Z33hNDNybCzs3N0dHR0dHR2dnZ2du7Vq5ebm9sHH3zg4eHx0UcfKZXKWbNmqVSqb7/91sfH55dffvHz89u4cWNAQMC+ffv++usvntS/detWqX+5si4xMbFt27Z8QTF3fsC8efO+/PLLwMDAgrwyExIShDipbkLPiBEjsEBYgty+fZtfO5mYmKhUKn1XTjtz5gzfD1q+fPk8N7kKl0Pu7u729vb5xN/zbICh1Wr5nj97e3vdJBuQVlJS0gcffMA/UFQqlT52oKalpQUEBLi5ufGXioeHh+53N23alPsglAKXLsXyRn5ErHVrduxYUU4SFsZ69Mg+ScuW7Phx0XZoCZF3XnWWq1WrlpeX165du3jZK2MI7JZlmXFxR7t3X9ajh3Bk6NChZBxVH9PT04nIzMxM6olIr8QE3MXy6NGKq1fb3L794ZUrze/cGceY1Juzfv2VNWvG1qzJfnjxIiNiTk6SzgkK5Pz587z3t4ODw8mTJ8U6bWJiolKp5A1aO3bs+NbWJbpSUlLeFHx3cnJSKpUBAQFC0dKEhAR+79qyZcunvK0e5IU3Sh03bpwoZ+Mrz7179xYazmRmZr733ns8S8t4NuU9ffq0SZMmRNS9e/c8M+737t3r7u6eowedTCZr1KiRp6fn8uXLz5w5I/yOb8L3cIheAqIse/bsWY6Egn79+hHR/v37DT8ZHjvQ7VIABqMbcI+OZtbWojVN7du3LxF9+umn4pxOVDExMX/++aednZ1u2L2Yatas+e6770r9mwFjjD1+/LhRo0ZE1KtXr0JtBUtPTz916tRPP/00YsQIHjPVVa9evZEjR/r6+oaHh+tv8qAPWVlZ3t7efDtdhw4d9FT3Q6vV+vr68oYo7du3z782kUA3/p57o7Zu/J1fmc+ZM4eIrKyszpw5o4/fAopMq9X6+Pjwl1n//v1FTFG6cuWKSqWys7Pjr4ry5csrlcpLr29zX7BgASGyWXoFBrJ69bIj5u7urGDvLowx9uxZdvEZXpw4d5q8WDQazfHjx6dPny40k+N3fO+88w7ayEvs338ZEXN1FQ7ce//94O7db1+8KN2cXuEfmm+NBpR6MsaYWPckJYVa/SQj47apaVUzs7pSz+Ulxigjgyws6NIl8vamunXJ11fqOcHbPXnyZOTIkYcPHzYxMfn2229VKlUxT3jixIlx48ZFRUVZWFgsWLBg9uzZOYpyFFxKSsqpU6eOHTt29OjR8+fPZ2Zm8uMKhaJ169YdO3Y8cuTI1atXGzVqdOzYsdw7YUFw8+bNxo0blytXrlu3bu3atevQoUP79u2Fi+PCYoytWrVq9OjRvM4sY2z8+PF//vmnvb39iRMneCjBSMTExHTq1On+/fvDhw/fvHlzjtZzv//+Ow+Xly9fvl27dq6urs7Ozh07duSdnfLx/Pnzcy8dO3YsKSkpPDyct0aA4tNoNHzzTVZWFv8rGz169KZNmzZs2DB69GgDT+bTTz/19fVdtmzZp59+auChIT2dGCNLy+yHL16QhQWZmopw5suXL7du3drExOTatWuOjo4inFFvtFot76HKK8w8f/6ciHg9XH4kMTFRq9UmJSVpNBr+3xcvXqjV6uTk5KysrJSUlMzMzFmzZrm4uLz1nQ0MIyoqqnPnzg8fPhw5cuTGjRtzfDDpevDgQWho6MmTJ0+cOBEaGsqTrTgbG5tWrVo5Ozt37ty5a9euuhvnoST677//xowZExMTY2tru3LlSnE/7B4/fjxmzJhDhw7JZLJp06YtXbrUtPDvpFqt9vr16yEvhYWFpaWlCd9VKBQODg737983NTUNDAzkSRhgbI4ePTp8+PDHjx83aNBg586dxblwTU9P37t37+rVq//9919+xNnZWalUjh49OncZt/79+x84cGDt2rX/+9//ij57MGJpabR8OS1aRC9ekKUleXnRl1/S6+1IXqNW09q19OWX9PQpmZjQ+PG0aBEZ4CKFMXbu3Lm//vpr//79ixYtatWqVb169fQ+KuRjxQry8qIJE2j1aiKirCyysSG1mpKSyNpa6smRnZ3d8+fP4+Pjixw2KSUkDPYDY4w9esQGDmT16zMnJ9a8Odu9W+oJQeFkZWWpVCqekD5y5MgiNzhKTU1VqVT81rF9+/bXrolZ7CglJSU4ONjHx8fNzc3CwoL/22/YsGGDBg3QHKwgzpw5k2PlQ7dEbGpqapHP/NlnnxFRuXLlQkNDRZywWC5fvsw/I3N3C7x3797WrVvz7F+XQ1ZWVkREhL+/v1KpdHJy0o2PyGQy7N8XHe8QINQCmjZtGhEtX77c8DPh/ZS++uorww8NejVq1CgiGjt2rNQTgbLo0qVL/F3uk08+0T0utOn28PDIsfuK7/Pz9PT09fUNCQmRqi056M/Tp0/ff/99/tc9buxYTWKiKKeN+/df/lqqVq2aiKWK1Wo1vy7y8vJydXXlV+bDhg1bu3atWEOAPty7d699+/ZEZGlpWbTdewVJaeeeP3/u5+fXqlUrIqpatWrXrl0N3B8YDCw2lnl6MpmMETEHB+bnx86cYSNGMGFDxdq1bP9+9u+/rHnz7Iz4Xr3Y5cuSThqkNXkyI2LLlmU/jIhgREynrKi0eHnke/fuST0RiSHgLrXBg9msWYxf+p8/zypVYnfvSj0nKLTdu3fzpt5NmjS5evVqYX/85MmTPLXZ1NRU32UoU1NTDx8+PH/+/EuXLsXExOhvoFKmOJXK32TlypX8L/3gwYN6nXxxHD16lN8K+vj4FPyn+B+XSqVydXW1FJJsifjvy7sL+Pv7R0RE5Nn4HoqD55sIHZN4FSNJ6vasWLGCiKYKTUqgtLhz5465ublcLg8LC5N6LlAW/ffff7xu3syZM/38/MaPH9+sWbMc2e5Vq1YdOHDgokWLjhw5YgzNUcAA/P39bWxs/urWjdWpw4q5nJ+Vxby9mVw+rnPnnj176qNdkyA9Pf3cuXNYByoR0tLSPvroI/4mo1QqC3jLlqNKOxE5Ozv7+fmlpKTkfvKJEyfGjBkjXDxXrlzZxsaGiBo1ahQRESH2LwTG5eRJ5uKSHU+fO5eZm7NJk7K/5eXFPv88+1uNGolWJxBKsG7dGBE7dCj7YUAAI2IDBkg6p1d4cdoiRMZKGQTcJRUXx2xsWFraqyNTpjCUMy6Zbty40bx5c56tvGPHjgL+VFpamkql4tnTLVq0uHDhgl4nCaLIkZqUY3NxuXLlXF1debvauLi4N51ky5YtcrlcJpP5+/sbcvJFsGfPHoVCIZPJ/vjjjzc95/nz50IPuty9whwdHXlqYXBwcKEK70IR8Da/ISEh/OFPP/1ERNOnTzf8TDZu3EhEH374oeGHBn2bOnUqEQ0cOFDqiUAZtW3bNrlcrlvqhy9+K5VKrOaWZTevX9e88w4jYiYm7JtviljV+M4d9vIkad9/j1A45ODn58fL93Xp0iWfS31W1JR2IpLL5W5ubgEBAZmZmffu3WvXrh0R2djYoIN3qafRsLVr2aBBbOdONnAga9yYnT7NGGNeXszXl338MVu6lJX5stjAGGPM3p4Rsfv3sx8uWMCIXnVwkpqLiwsRnTt3TuqJSAwBd0mdPJmzP+ry5czTU6LZQHG9ePFi2LBhRCSTyby8vLKysvJ//pkzZ/jSn4mJiUqlQk+JEkrYxu7p6enk5JQj1qzbF0vYDXrkyBGenffjjz9KOveCWrVqFREpFIrdL8teZWZmhoSECL81r6qU528t9OkFw+ApVP/88w9/6O/vT0Rjxowx/EwOHDhARH379jX80KBvjx8/5o0oTpw4IfVcoIw6dOiQr6/vhx9+uHz58rNnz+IiCrK9TE5nROydd9jL/V4FtWsXq1iREbFatYqbJg+l1/nz52vXrk1ENWrUOHXqVJ7PefDggVCRskuXLhs2bEjTTbN7KSQkRKlUWr+suVytWjWVSpWjA3DRMuuhRNu1iw0dyvbvZ61asays7IA7QLZHjxgRs7VlQnrBsGGMiBlNJl+3bt2I6MiRI1JPRGIIuEsqPJzVrv3akcWL2eslKaHE8fPz4ynP3bp1e/jwYZ7PyczM9Pb25hdhzZo1O3/+vIEnCfoTGxu7a9euuXPn9uzZ09bWVjcMbWJi0qpVqyFDhvCr6tmzZ0s92UL48ssvicjS0nLIkCG8ZWKOvP4ePXrMmTNn586dKFUkLb7st23bNv4wMDCQiAZIscHw9OnTRPTOO+8YfmgwAF6tqHPnzlJPBAAgl8OHWY0a2fGIjRsL9CNpaczLK7tkw6BBDOkCkK/Hjx/37NmTiMzNzX3fEAodM2bMjBkz8iyqkE9K+5tGLHhmPZQCPODOGBs8mC1bhoA7vO6//7IXlQW8ur/RhJX69+9PRHvLfPGj1yImYGgNGlBCAt28SY0aZR85fJg8PSWdExSXUqls2rTp8OHDjx075uLisn379nfeeUf3CeHh4WPHjg0LC5PL5V5eXt9//z1PdobSwcHBYfDgwYMHD+YPb9++feLEidDQ0NDQ0JCQkEuXLl26dKlFixbNmzdfsmSJpDMtnG+++ebhw4cnT57cuXMnvexB5+zs7Ozs3Llz5zZt2uSonwtS4TuXExIS+MOKFSsSUXx8vFQzkWRoMIBZs2b9/vs6mWzSgQOZ/fqZST0dAAAdPXtSRARNnkxbt9Lo0bRnD61eTRUqvPH5N27QiBEUFkbm5rRkCXl50etb9wBysLe3P3To0Lx585YsWTJjxoyQkBA/P78cfZ74LsMcQkNDV69evWnTppSUFCKqVq3a2LFjlUqlo6Nj/iMqlcq2bdt+8MEHwcHBLi4uO3bsyHGPCaWSry916kTdutHbXiBQlly9SkQk7K1XqykykmQyatJEwknp4s0nkpOTpZ6IxBBwl5SlJX35JQ0dSt99R/b2tGkTPX1KH34o9bSguLp06RISEjJs2LCTJ0927959yZIl06dPJyK1Wv3jjz/Onz8/MzOzfv3669at69Kli9STBf1ydHR0dHQcM2YMEaWlpV28ePHcuXMffvhhhQoVSlaEWiaTrVq1KjExcf369e3bt2/btm2ObqhgJHKEuXPE3/WEv7klJiYuXrxYOMhj/foeGqRia2v7xReR06aZP39O771HJer9DADKgAoVaMsW6tuXPvmEtm+n8+dp40Zydc3jmevX0yefUHIyNWpEW7dSmzYGnyuUSCYmJj4+Pq1atZowYcLGjRuvXLny119/8d71uSUmJm7btm3lypXh4eH0MqVdqVQOHjw4RzuofLi4uJw9e3bYsGHBwcH9e/e+u2JFuXHjxPp1wDjVqUPTptFXX1GHDlJPBYzHtWtEOgH3W7coI4Pq1iUbGwknpQsBdw63R1JTqWjRIvr7b1q+nGrXpmPHyASrIKWBg4PD0aNHeWX2GTNmeHp6hoaGvvPOO3PmzMnKyuINcxBtL2ssLS07deo0Y8YMe3v7gl9bGw8TE5NKlSp9+umnrq6uiLYbrRwR9sqVKzdq1Khu3br6G/HSpUvt2rWbM2fODz/8EB0drTsTmUzGWxfob3SQkFJp7uhIly/Txo1STwUAIE9jxtD589S2Ld29S5s3E2O0bBm1bUsNG1K7drRuHRHR0aOUnExDh9K5c4i2Q2GNHDkyJCSkSZMmFy9ebNeu3T///JPjCaGhoRMnTnRwcJg4cWJ4eDiv0h4ZGRkUFOTh4VHYO4Jq1aodPnzYy8vrWNu25f73PxozhtLSxPttwFiYmdHLwv40cya1bEkWFpJOCIzKlStEOgF3/rBZM8nmkwsC7hxiu0ZgwAAaMEDqSYD4eNZDy5YtlUrlxo0bt2zZotFokNgOAHqVI6+8SpUqN27c0NNYurt26tWrt3bt2jp16gjfjY6ONjU1zczMTE5O5g02oZQxMyNvbxo7lubPp+HDCdXRAMAYNWlCp0/TTz/RtGm0ciVt2kR79lCtWnT9Orm7k40NrVhB771Hw4ZJPVEoqZo0aXL27Nlx48bt2rWrX79+8+bNmz9//osXL4qf0p4nU1PTn3/+mbZsodBQ2rCBIiLor7/oDZn1UEL160f9+mX/v5kZhYZKOhswNv/7HzVtSi+bQOSsMGMEeMs6XjirLEOGO4B+jRo16syZM506deLl+cLCwhBtBwD9MVjl9CtXrnTs2FHYtRMeHt69e3f+LcbYypUrW7VqlZmZuWbNGkTbS7HRo6l1a4qOplWrpJ4KAMCbmJmRSkVWVvT77+TjQ7VqERE1aULz59Pvv5O1NaLtUEy2trY7duzw9vZmjC1cuLBJkybVqlXjKe3Vq1f/4osvbt26VbSU9jcaOZJOnaL69eniRWrXjoKCxDktABg/T0+aN48uXqT9+ykujj74gFatoiFDpJ7WKwi4cwi4A+hd8+bNT548uWbNGj8/PxujqasFAKWSASqnq9XqJUuWODs7h4SE1K1b999//9V9c4uOju7du/fUqVNTUlI8PDyEBsJQKsnl9M03RETffktJSVLPBgAgH4zRrVvUsuWrI61a0c2b0k0IShW5XL5gwYK9e/fa2dlVqVIlMzPTzc0tICAgOjp60aJFb6rtXiwtW9KFCzR4MD17Rn370oIFpNWKPwoAGJvffycXF/rnH/rnH3JxoZMnaeJEMqYuyigpw6GkDICByGQyqacAAKUfz3C/du1aVFRU/fr1RT//1atX//e//507d04mkymVyqVLlwoJ7Iyx33//ffbs2S9evKhSpcpvv/02xJhSLUBP3N2pe3c6epR+/JEWLpR6NgAAbyKTkZkZZWS8OpKRQehJA6Lq16/fzZs3X7x4IZPJ9NpBJ5utLe3cSd9/T198QQsX0oULtGEDlS+v93EBQCpxcTR3Lp0/n11Iavp0ateOBgygatWkntkrCLhzyHAHAAAoPRo1avTjjz8+fPiwUaNGw4YNu379ulhn1mq1q1evbteu3blz5+rUqfPPP//4+fkJ0fa4uLiBAwdOnDjxxYsXHh4eV65cQbS97PDxIZmMli2jhw+lngoAQD5atqRTp149PHnyVQ1cAJFUrly5Xr16hoi2czIZqVS0dy/Z2dHevdS+fXYHRQAolY4fpw4dXrVtcHSkDh3o2DFJ55QTAu4cAu4AAAClh5WV1fvvvz9+/HiFQrF9+/ZmzZqNGjXqSrFvvW7fvt2jR4+JEyempqZ6eHhcvHjRzc1N+C4faN++ffb29tu3bw8ICKhcuXIxR4QSpEMHGjCAkpNp0SKppwIAkI/580mlokOHKC6Odu6kH36gL76Qek4AYujXj86doxYt6OZNuniRiGjXLpo0iYYPp2++ocePiYhOnKDffnv1I/v20ZYt0swWAIrswQOqUuW1I9Wq0YMHEs0mb7yGOwLuCLgDAACUKvXq1fvjjz8iIyO9vLzMzMy2bNnSokWLAQMGhISEFOFsjLHVq1e3bNny+PHj1atXDwwMDAgI4IVriOjhw4eDBg0aNmxYQkKCu7t7WFjY0KFDRf1toGRYtIgUClq9mh49knoqAABv0qsXrVlDGzfSsGG0bx/t3v1aSXeAEq1BAzp9mvz9afRoWr6cvL1p0CCaM4dSU6lTJ0pLo1u36PjxV8+/fJnOn5duugBQJDVq5NxS+uAB1agh0WzyxjPc0TRVxhiTeg4AAACgF48ePfrpp5+WL1+elpZGRG5ubosWLWrfvn0Bf/zOnTvjx48/evQoEXl4eKxatYo3ZeW2b98+adKk+Pj4ChUqLFmyRKlU6uE3gBLj+++pZUvq04fkciKizEzKyiIzM9Jqydw8+zmZmSSTkamphNMEAAAo1TIyyMGBTp2ixo2zj7z/PvXsSeXK0aFDr7Lav/uOnjyhZcukmiYAFEVMDDVtSuHh2VVlbt+m9u3p6tWcae+SCg0NdXFxadu2bWhoqNRzkRIy3AEAAEqtqlWr+vj43L17V6VSWVlZ/fvvvx06dOjdu/eZM2fe+rP37t1r0aLF0aNHHRwc9u3bFxAQIETbHz169P777w8bNiw+Pr5fv34RERGItoOnJ/XtS8uXZz/cvp2USvrlF/r001fPmTePfHwkmR0AAEDZcOcOWVi8irYTUffudOECEdGtW/Trr9lfZ89KNUEAKLqaNWnpUurShWbNolmzqFs3WrLEqKLthBruLyHgDgAAUMpVqVLFx8cnOjra29u7fPny//77b8eOHTt37nz48OF8fqp27doeHh4eHh7h4eH9+/cXjvOK7bt37y5fvryfn9/+/ftrGNk2RpBKxYr0888UEyP1PAAAAMqs9PRXO8s4S0tKSyMi0mgoIyP7S62WZHYAUFwTJ9K5c9S1K3XtSufO0UcfST2hnBBw50ykngAAAAAYQuXKlRcsWDBt2rQVK1b8/PPPJ0+edHNzc3V1ValUAwYMyPNH1qxZo1AohIePHz+ePHnyzp07iei99977/fffa9asaaDZQ0lgbU0zZ9L06fTXX1JPBQAAoGxydKQHDygxkcqXzz4SEUENGxIRNW78at9Zejo9eSLNDAGgmBwcaNAgqSfxRmiayiHDHQAAoAypVKnSggUL7t275+PjU7FixZMnTw4cONDV1XXv3r2527roRtt5YvvOnTt5Yvvff/+NaDvkNnky3bpF+/a9OrJtG7Vokf21bp10MwMAACgLbG2pf3/6/PPsHPaQENq6lT7+WOppAUBZUb58+SdPnsTFxUk9EYkh4A4AAFDmlCtXTqVSRUdH+/r6VqtW7dSpUwMHDmzbtu327dtzh92fPHni4eExbNiwp0+f9unT5/Lly6jYDm9iYkK//kozZlBGRvaRoUPp/PnsrzFjJJ0cAABAWfDHH5SaSo0bk5MTKZX0559Upw6ZmZGV1avnWFiQpaV0UwSAUksmk1WuXNlK9w2nTJLlvq8GAACAsiMlJWXNmjVLlizhaQgtW7acNWvWhx9+yNPb9+3bp1Qq4+LibG1tf/jhhwkTJshkMqmnDMYoLo46dKB794iIxo+nsDBq2pRcXCgykn79Nfs5n39O5crRV19JOE0AAIAyIyuLTE2lngQAQFmEgDsAAABQRkaGv7//119/HRsbS0TNmjWbOnXqhQsXfv/9dyLq0qXLunXr6tevL/U0wXjpBtyfPaMmTahPn7wD7hUq0LVr1KIFTZ4s4XwBAAAAAAD0AgF3AAAAyJaenr5mzZrvv//+/v37CoVCo9HY2Nj88MMPEydORGI75O/FC/rlF5o7N/vhgQOUlEQ1a9KzZ6+6Ov39NykUxBi9+y4NHEj+/mRnJ9V8AQAAAAAA9AIBdwAAAHhNZmbmunXr7t27l5mZOWXKlHr16kk9IyhtGKO+fWnvXux0BwAAAACA0gYBdwAAAAAwHMbo66+pTRsaOFDqqQAAAAAAAIhNLvUEAAAAAKCsSEujESNIoyErK0pKkno2AAAAAAAAYjORegIAAAAAUFao1TR0KBFRQgKp1VLPBgAAAAAAQGwoKQMAAAAAAAAAAAAAIAKUlAEAAAAAAAAAAAAAEAEC7gAAAAAAAAAAAAAAIkDAHQAAAAAAAAAAAABABAi4AwAAAAAAAAAAAACIAAF3AAAAAAAAAAAAAAARIOAOAAAAAAAAAAAAACACBNwBAAAAAAAAAAAAAESAgDsAAAAAAAAAAAAAgAgQcAcAAAAAAAAAAAAAEAEC7gAAAAAAAAAAAAAAIkDAHQAAAAAAAAAAAABABAi4AwAAAAAAAAAAAACIAAF3AAAAAAAAAAAAAAARIOAOAAAAAAAAAAAAACACBNwBAAAAAAAAAAAAAESAgDsAAAAAAAAAAAAAgAgQcAcAAAAAAAAAAAAAEAEC7gAAAAAAAAAAAAAAIkDAHQAAAAAAAAAAAABABAi4AwAAAAAAAAAAAACIAAF3AAAAAAAAAAAAAAARIOAOAAAAAAAAAAAAACACBNwBAAAAAAAAAAAAAESAgDsAAAAAAAAAAAAAgAgQcAcAAAAAAAAAAAAAEAEC7gAAAAAAAAAAAAAAIkDAHQAAAAAAAAAAAABABAi4AwAAAAAAAAAAAACIAAF3AAAAAAAAAAAAAAARIOAOAAAAAAAAAAAAACACBNwBAAAAAAAAAAAAAESAgDsAAAAAAAAAAAAAgAgQcAcAAAAAAAAAAAAAEAEC7gAAAAAAAAAAAAAAIkDAHQAAAAAAAAAAAABABAi4AwAAAAAAAAAAAACIAAF3AAAAAAAAAAAAAAARIOAOAAAAAAAAAAAAACACBNwBAAAAAAAAAAAAAESAgDsAAAAAAAAAAAAAgAgQcAcAAAAAAAAAAAAAEAEC7gAAAAAAAAAAAAAAIkDAHQAAAAAAAAAAAABABAi4AwAAAAAAAAAAAACIAAF3AAAAAAAAAAAAAAARIOAOAAAAAAAAAAAAACACBNwBAAAAAAAAAAAAAESAgDsAAAAAAAAAAAAAgAgQcAcAAAAAAAAAAAAAEAEC7gAAAAAAAAAAAAAAIkDAHQAAAAAAAAAAAABABAi4AwAAAAAAAAAAAACIAAF3AAAAAAAAAAAAAAARIOAOAAAAAAAAAAA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hQU+jPH+u7tKFETF7e1aEz8Pbt5mvL3NzYyYmzMoqhe+jdXJy8vb2DgkJyf38xMREhUJhamqampoqwuzBWI0ezYiYr6/4Z96yhRGx9u1fHZky5UX37se//95f/MGAscePH/Pc9oULF0o9l/xkZGT07NmTiJo1axYfH88Ye/HiRXBwsK+vr6enp5OTU449r+XKlXN1dfXy8vL394+IiEBsxHjMns1MTNiuXdkP27YtymdTSfLwIatZk6lUbN8+9sMPrEoVdu6c1HPKDwLuoomJifH09OTvTTyxXaPR8FR3nrHl6ekZFxcn9TShoNLS0ry8vPhfaJ8+ffB3ByXV3r3MxITJZGztWj2NsHXr1mrVqs2dO5c/zMrK4suNERERehoR3iokJMTLy4snpwv5xb6+vo8fP87/+cuWLcv93fj4+B49ehCRtbX1LuGaDkAHfwlVrFiRv+QsLCw8PDyCgoLyvCu7cOGCl5dXnnvIDh06ZGdnxzdV3L59W+/zhjKgUiU2aRKbNYsxBNxLqbt37zZq1IjvT+VLy66urj4+PjdFzX17+PChs3O7Tp2iq1dn4eHFOtXjx2zTpuhBgwZZ6hQQqV+//syZM48J2zEYY4y1bNmSiIKDg4s1HhgxjUbj6pogl7Pr18U/eVoaq1CBEbFr17KP8K4ADRo0QMxUT44ePcobwh8+fFjqueRNo9EMHTqUiBwcHN60ezUxMVE3/p6jSIatra1u/N3A8wdds2ezjz9m9eplZxWU/oD79Ols5sxXD//4g/XsKd1s3g413EWQlpa2fPnyb7/9Njk52dLS0svL68svvyxXrhz/bkpKyg8//ODj45ORkWFtbT179uy5c+eam5tLO2cooD179nz00UfPnj2rWrWqv7//u+L2sgHQs/Pnz/85ZcqKu3fl06bR/Pl6GuXo0aM9evRwdHS8desWX6OaMGHCmjVrvL29FyxYoKdBIU9Xr14NCAjYuHFjVFQUP+Lk5OTh4TFmzBihuIeuiIiITZs2bdmyJTo6mh8ZNWrUpk2bcj9TrVZPmzZt1apVMpls/vz5+JsF7sGDB9u3b//jjz8uX77Mjzg7O3t6evLufzmenJCQsH37dj8/vwsXLhDR1KlTV6xYkfuct27dGjx48JUrVypVqrRt27ZevXrp+7cAUWi12mfPngn7O41H5coUFkadOtHevcQYjR1LU6fS2rVv+Slb25FJSXfzeULnzp1nz55dtWpVEacKRXD9+vU+ffrcv3+/RYsWw4cPP3LkyPHjx4Ve323atBk0aNDAgQPbtGlTnFHu3r3bp0+fyMjI5s3b7t9/tnZtEzHmTmlpaSdPnty7d+/27dvj4uKIqHXr1hcvXhSeMHny5FWrVi1ZsuTzzz8XZUQwNqGhoS4uLq1b97p48V99nH/u3Ljg4D09ez7/+us5RKTVauvWrXv//v0TJ064urrqY0T46quvvv322xo1aoSFhVXm5fONyaeffurr62tra3v8+HG+p/+tHj16dP78+ZCXHj16pPvdatWqubi4tGvXjv/XCC8DSrHPPiMHB7p7l0xM6McfydmZFi2ihQvf8lONGx+5cePL/J+zcePGunXrKhQK0eYqig4daNEicnPLfvjwIdWvT8nJ9PqeDCMidcRfTM+ePTP8oIGBgXVfth90d3e/c+dOnk+LjIz08PDgT2vQoEFAQIBhpwlFd//+/W7duhGRTCbz8vLKzMw0zLhJSUkGGwtKpcjISH7Fs2TGDL0OpNFo+PZJoXbWoUOHiKhx48Z6HRdy6Ny5s/DhXqdOnTlz5ly+fDnPZ8bExPj6+ureaNWsWdPLy+ut1c98fX15kcePP/4Yb1BlWXp6emBgoIeHh4lJdtSpevXqXl5e4XmlfWZlZe3du3fIkCFCA67KlStPnz49zydzSUlJgwcPJiITExMfHx99/iogjhs3brRt27Zbt25STyQPlSqx58/Z5s2sY0d24QJr2ZLNm/eqmvabvuztW+R/D+Xg4GBnZ/fkyROpf78yLSQkhF/qdO3a9fnz5/xgfHx8QECAp6dneZ3OpLVr11YqlYGBgRkZGYUd5erVq7Vq1SKitm3bPnr0SOxfgjHG1Gp1cHDwZ599tnLlSt3j69evJ6JBgwbpY9CyKSkpyaiSu7/55hsimjx5sp7OHxwcTEQ1atQQqorPmTOHiJRKpZ5GBI1Gwwu29O3b16hebIyxH374gYjMzMyCgoJyfOvMmTNvimXlEBsbGxgY6O3t7e7uniO8PnHixKtXr4o/b3iD2bPZsmXs+XNWsya7dIm1bcv27Hn7FU63bofeGiguX7786tWrpf79cmnShJ0+/ephSgqTyVhamnQTeotSEnA/ffr07NmzzczMnJ2dvb29xd0/+CYXLlwQWsa3adMmxwbAPP37778tWmRfvvfs2TOfW00wKhqNxtfXlxeWbdeu3a1bt/Q3VkJCAr9JsLa2/vzzz43xbQ5EkpSU9Ndff3Xq1Gn48OHff//9kSNHhHvF4nvy5EmjRo34pV7+XTFFMXXqVCKaM2cOf5iVlcWLmbwp4AuiGz9+fL169WxtbT09Pd9UxyMhIcHf39/d3V3IVrCzs8vn+XnasWMHLzvr5uamvzq5YMw0Go2QamBubj5s2LADBw7k2R/s+vXr3t7etWvX5k+Wy+W8hUBB6hFrtVpvb29h00wRYmSFpdGkpaZGZGTc0/dApVJiYiIvomiEOSU84M4Y69mTzZ7NWrZk9+6xU6fe8nXmTOipfHXt2pWIJk2aJPXvV3YdPXrU1taWiPr375/nu0pWVlZwcLCXl1fNmjWFIIK1tbW7u7u/v38BL7rOnz+fO6ZvMLdu3eKLlMYWtitxNBpNcHCwUqm0sbGZNGmSUqk0krwBni2xe/duPZ1fq9XWr1+fiIQA640bN3g0Db0B9Of+/fs8t/1H3Y6WUtu2bZtcLpfJZOvXr8/93QYNGvAXRmHLxdy6dWvr1q2zZ89u3ry5XC5/9913xZ44vBEPuDPGNmxgPXuytm3ZyZNvv8I5dy42/yscvhBob29vdPd6ffuyDRtePQwLYzVrSjebtysNAffnz5/Xq1ePiHg8lIhkMlm7du18fHwiIyP1MeLTp0+9vLx4wKJSpUq+vr5v6kN96tSpS5cu6R7Jysry8/Pj120mJiZKpfJNFXXB2Jw5c4bXZLC1td24caO4J3/8+PHq1avfffdd4WXM00gtLCzCwsLEHQuMQWZm5rvvvivLtfupevXq7u7u3t7egYGBRd61k5qa2rFjRyJydnYWepnq1bFjx4ioXr16wg2hUqkkovnz5xtgdGCMVapUiYju3r2b+1tpaWmBgYGenp48UM7fWNzd3QMCAooWxDxz5gyvotCsWbMC5sIUlebZsy0xMXPj4r5LTzf2NvRlx3vvvVe1atUGDRr4+PjkeQ2TmJjo7++v2zq1cePG3t7ebyoVmo9t27bx162rq6tem6kkJR0ND68VGel+/bprXBxy6oti1apVRFSrVq3cvZelJQTcr15l5cqJVsP92rVrpqamCoUC12mSCAwM5AXQR40aVZDIaUREhLe3t7Ozs3DFxUu9+/r63rv3xmW2//77j8f03d3dpYpOVq9enYgMk09WKl25ckWlUtWoUUMIFPC7rd69e/N2kRJKTEw0NTU1NTXVa59wXgbQ09NTONKuXTsi2rp1q/4Ghf379/MX26lTp6SeC2OMHTt2jJc1Xrp0ae7vZmVl9e/fP3c1GAcHh4EDB3799dcHDhx4a9gqPj7ezMzMxMQEAS6DEQLuWi3r3p2Zm4tWw53XeJipWzDdGPzxB2vThvFlgMxMNmQIM+5oQ2kIuI8aNYqIXFxcnj9/zmMK/MKIy6fzexFkZmb6+vry/YmmpqZeXl75ZDpkZWU1a9ZMLpd7enrm2H747NkzLy8vvhHbzs7O19fXACmoUHzPnz8fOXIkf2l5enoWP5T55MkTnnAqxNmFq/8HDx5MnjyZiBo2bGiYmCkYjFar/d///sfXjffu3bt27dopU6a0b9/ewsJC9xJHLpc7OTl5enr+/PPPJ0+eLGAIQ61Wv//++zz8bbBmvxqNht/JnH/5IR8UFESoKmMo9+7d4wvAugeFZC7hM5G3TvXz8yv+fd39+/dbt27N0+7018zt/v1ZN270io8PePx4ZWLiIT2NAoWi1Wr5Kyp3JQ3hJSe0Lsx/y0UBXbx4sU6dOkRUo0aN83prBXXzZu+nT/NI+IKC02g0PJr5zTffSD2X1wgBd8bYnDliNk2dMWMGEXXv3l20M0LBbNiwgd9GTZkyRaPR5PhuUFBQVFTUm372zp07vr6+bm5uwrU3v2FUqVTBwcG6b1Z79uzhF2YFjOnryZAhQ4ho3bp1Uk2ghIqPj/fz89Otnle7dm2VSnXr1q3Tp0/zHTkNGjSQtvzF9u3biahHjx56HeXOnTsymcza2jopKYkf4Q1U+vXrp9dxgX9G1K5dW/KlnStXrvCO9G8tXqRbLiZ3AXrdzLA8K6rxjndr1qzRz+8BOQkBd8bYlSvM1FS0gPvFixcVCoWpqel1fTR0Lqw5c5hSyZ48YVotmzOH1a7N3NxY/fps1ChmZEkeOZT4gPuaNWuIyMbG5saNG8JBns2nVCp5TQOuXr16Xl5eOS6kCiUoKEjo0ezm5nblypX8n5+cnOzl5cUv5nhUPce12rVr1/r27ctP2KRJkwMHDhRtYmBg/v7+PJrQuHHjCxcuFOEM0dHR/FpfKOxgbm7u5ubm6+v78OFD4WlpaWm8k8mECRPEmz5Ib/78+URkZWV1WrcGGWNZWVkRERH+/v5eXl6urq454u8KhYLH3319fYODg98Uf+fVXSpVqmTgT0cvLy8i+vzzz/lDtVrN34Fz7PIBfQgMDOQfTLoH9+/fL7x42rdvn+PtpfiSkpL69+/P3742bdok4pkFV640T0z8Rx9nhiL7P3v3HdfU2cUB/CRsBAFxgwsUtxXRqsW9Wi3aOnDjqBa1WtQu7FsrtmrFVXG0im1V6ixuXLXUvRU3blERUFyAIJvkvH88aYi4GDe5jN/34x/mGu9zaGNyc+55zhF3d8qXL6978P79+1OmTBFpcfqvdczq1aulKgh9/Phxu3btiMjc3HyV7k5S6dy82e3OneEqFfbXF8jhw4cVCoWlpWU+djPoyaRJfODAa/80K4sXLnz1ryVLgha+iu4baXx8vMhHbNy40RA/DDAz86JFi8Q2UF9f35f/VKVSiZJwJycn8dXv5Yy88PTpU9HFUbdUq1q1aqLV+4oVK0ROf+zYsa87g2GInsvouJ1LWVlZoaGhnp6e2qkhNjY2L9/6jY6OFjcIS5cuvWPHDrmiHTlyJBEZYFSJaIG1cuVK8fDp06dmZmbGxsYGK80pmTIyMlq0aEFEffr0kTGMmJgY0dyvR48er2vM8EpqtfrGjRtr16794osv2rRpY2VlpfvNVKFQuLi4LF68WPeviOwcusoYxu7d7O/PaWmvfcKePa++wlm+/MIrr3D27dun+9c//fRTIvrwww/1/pO82a1bbGbGSiWfOqU5kpXFd+6w/rtNFlzRTrjfvHnT2tqaiF737UvMn/Hx8RE3sbUXUnnNvF+/fl2kFYjIxcUlT5/Kb/27ISEhorEaEXl4eOi1PzhI5erVq6K608zMzN/fP5cX4qKmxt3dXbvLXjR2eEMfyfDwcLGbfu3atZL+BCAbcSFiZGT01naNOfLvYhuglrGxsW7+XSS2ZsyYQUQWFhZHjhwxyE+TTQxlql69uvatdfTo0UQ0efJkA0dSAolGe19++aXuwYyMjJYtW06dOlV/+9CzsrLEDR6FQuHn5yfJOdXqtNTUawkJuzIzn969O/Ly5Ubx8ZvU6iJwRVVC/P3330SUYzbmpUuXxPtSlSpVfH1931Bbmm/p6ekjRowQLzZfX9+C5L+yshKePz/55ElQdPT/IiJ6X77cIDHx37S0iOvXO547ZxcZOSYrK166wEucPn36ENHgwYPlDoSZee9eJmIrK35dcWFqap6Hpua4U/7rr78SUdWqVQtbI53iyt/fX7wPvK4zcnx8fP/+/XXHpVauXHn06NG7d+9Oe01aIiUlZfv27SNHjhTd0rSX6EQ0depUff40uXLs2DEiql+/vtyBFHbh4eG+vr7aejvt1JDnz5+/8vnPnz8XW0KNjIzkms4t0qAGaEslvn106NBBe0T87IWqw3ixdOvWLfF2tHTpUlkCePbsmSjga968ecE/pyIiIrTfTEWO4mdtfTUzo6uMAaWns4sLE3Fg4GufM2BA3oam5qjyfPjwoa2tLRHJXBns4cFEPHJk9pFX9VAtnIpwwj0tLc3V1ZWIhg4d+tYni23OPj4+2vZtROTo6ChKGN7QziUuLs7X11fcIbe1tfX3989fx9sc1fE5BlCITjWivEJ0qtFrHzeQRGpqqo+Pj0idd+7c+Q0FAhERESLPrn3tWVpaijy7dmffG4jvcra2tnrulQyGsGvXLlEw9csvv+T176amph4/fnzx4sXDhg1r0KCBdnuEYGpq6uLiolAolErl5s2b9RH8m6nV6ipVqhDRyZMnxZG9e/cSkYuLi+GDKWlEhuuVE5AMICAgQLwahw0blqePyKysuOTksLi44AcP/O/e9b5xo9OlS05nzhiFhVFYGCUk7FKrMx8/XnbtWpsLFyo9f3787WcE/Zs/fz69akvylClT9u/fr++xfoGBgWLjYLdu3XIzvTArK+vp09sJCbtiY+dFRo66fr3dhQsVxQtM99fDhwvF89PToyIi+t669bFef4ri7d69e5aWlgqFQn/NpnIpK4sbNWIi/umn1z4nM5PHjXv1r6+++mHcq+S4GMvKyhK5jOnTp+v7Jyrh1Gq16M9gZGT0xx9/vPnJoujK19e3Vq1aOS6/AwMDc7T61FKpVMeOHfP19a1UqZK5uXmXLl308HPkWVpaWosW37dvf6Swza4rJGJiYgICAkQhlFCvXj1/f//c1G7rTuc2/BhVca+6YsWKuh+dERERUVFRkq/17Nmzpk2bzpkzR3tky5YtRNSgQQPJ14IcgoODxT28c+fOGXjpjIyMzp07E1HdunXzPRvsdTIzM8+dOxcTE5PjOLrKGMbs2UzEdevyG963Vq589RXOjz+eeOUVzrp163KcYe7cuURUp04d2fqqhYYyEVtb8/37miMREWxuzn36cFFoyl2EE+7jx48nImdnZ21uOi4u7q1TUlUqVVhYmJ+fn+7ll729vZeXV0hIiO7LSKVSBQUFiZvkr+zDnldv7f9+//59b29vsUeyUqVKgYGBedryA7LYtm2bmFVYvnz53bt36/6RmM5Ut25d7SvN1tbWy8srODj4daUWWgkJCbpdkvr160dE7777rowdJKHgwsLCxF68l0eJpqSkNG/efPTo0b///vv58+dzM9QhIyMjPDw8MDDQy8urXr164q2jfPnyMm46Fm/LX331lXio3dZt+OvLkkZ8osnYvWf37t3inrG7u/vLJS0pKSnh4eEhISELFiwYP3589+7dZ8/uf/as5ct5z7AwOnPG+NIlpxs3OiUmZu9qjI2dd/16W4P+SPAaYh7ywoUL5Qrg4MGD4trMxcXl6tWrun+UkJAQFhYWHBzs7+/v5eXl5uZWqlSpfv1a5XiNnT1reeWKa0REv5gYv6dP1yUnn1Gpsj+Uk5IOh4fXMfiPVaxMnjyZiJo0aSJvI47Fi5mInZw4NVW/C+3bt08kcwtPI53iJzMzc+jQoURkZma2adOmPP3d8PBwf39/3Q2mYmCSv7+/7sW2ru3btxNRmzZtpIhdAu7uTMRoPqorNTU1ODjYw8NDFLIQUZkyZby9vXNzqy/HmNz169eLAbytW7c2ZFmuaBY0fPhw7RGVStWqVavSpUsHBgbq+wb2rVu3zMzMypcv365du+DgYHzH1CvRO6hWrVq5KbaTilqt9vLyEpklQ9btoauMATx8yDY2TMQv5p+kl5GRUbt2bXppK4OBZGZygwZMxDo3C7lnTybiXFRdFwZFNeG+a9cuMfT5xIkT2oO9e/e2trbeuXNnLk8i8qF16tTR5kPt7OxE5n3Pnj2NGjUSB9u1ayfhPq8nT574+PiIYkB7e/uAgIAcWfWwsDBtKbSbm5vs9UHwVrGxsV26dCEihULh4+Nz7tw5Pz8/FxcX7euqTJky4nWVy9rPGzdu1KhRw8XFRTsrNT4+XvTG/f777/X5o4Ae3b59W/S2Gjhw4MvX0EePHtUtVzcxMdFtF5ObV05iYuKoUaPE+fXzE7zdkSNHiKhKlSraH1AM/v3f//4nV0glwfPnz5VKpampaf42YEnlzJkzYg+Zs7PzrFmzpkyZMnjwYHd3d3HTJQdPz/fCwujcObsrV9wiIjyjo30fPw589iw0LS1Crc6+25SVpfla8uTJyuvXO8r0k8ELWrVqRUT//vuvjDHcunWrQYMG4rJt7Nixo0aNateunW7zQF1du7a5caNTZORnDx8uevbsn/T0u8yvyGKIJzx9uvratfeio78x/A9VnCQnJ4s+Cdp+wYYXF8dlyzIRG2bHV+/evYnIy8vLEIuVPMnJyWLqlZWVVWhoaL7Pc/fu3cDAQA8PD213b3rNuNS4uDilUmlhYSHvB6vWN98wEaNFnxAWFubt7S36yop7MB4eHrlPGd++fbtcuXIDBw5M1bkXd/bsWbFN09nZ+a1z2iSh7e69fv167cFnz559/PHH/314ddVHqbuwd+/ecuXK0X+tk4ioQoUKkyZNQm9bPdEOZtO9v6JvX331FRFZW1vnb+ZcvqGrjAGMGMFE3L27IdbasWMHEZUuXVqGkQ8BAUzEzs7Zjer37dP0Cnxpa0XhVCQT7rGxsaLF3ty5c7UHly5dSkQ2Nja3b9/O6wkvXLgwZcqU+vXra6+9REeqGjVq5LWGIpfOnj0rRpcQkaur68GDB3X/VK1Wr1q1SmQuqlSpUkgu9eANsrKypk2bZmxsrK2dIaLKlSuPHTt23759ed2pkJaWJvZF6n4kHzp0yMjISKlU7t27V+rwQe+ePHki7u21b9/+lf+ik5OTDxw4MHfu3P79+9eqVUv3hUREpUqVcnd3Hz9+/KpVq65cufK6msHbt28rFApra2upBhXmlVqtFkkWbYtbUffn5OQkSzwlhOju2rhxY7kD4ZiYmHfeeUd8gOoS/Y4++OCDMWPGzJkzZ9OmTVeunM/Kens/kGvX3K9ebXHjxvsXL1ZNSsLt50JBbOp6eQexgSUlJX388cdmZmZic4/2lebk5OTh4eHr6xsYGHj48OHcl5KlpFyIjZ0XEzM5Pn4Tswpt3Ato1apVDRuOat06wYDFfC/4/HMmYp1+xfp1+/Ztc3PzwtBIp/iJj48X9/nKlCmjW2hVEHFxcatXr/b09NQmbYkox7wTsUVVqhULaMsWg76eC6fIyEh/f3/t5DMicnNzCwgIePz4cZ7Os3PnTnGhkqOePSYmpmnTpiJBGRISInX42USv+QoVKpibm5ubm3/00Uc5en0EBweLacx6KnXXNmf74IMP7ty5ExgYKHLBRKRQKNzd3QMDA+X6KlGMaQezGaYD5JIlS4jIxMTk77//NsByOaCrjF6dPctKJZua8mv2aElP3PMeNWqUgdYTnj5le3sm4u3bNUe0vQJnzDBoJAVQ9BLuKpWqU6dORPT+++9rP34uX74s3r/WrFlTkJNfvXp1+vTpNjY2SqVy6NChqXregxoSElKjRg3x8ebh4ZHjVsHz588//vhjEYlewwCp7N69W6lUmpiYfPHFF0ePHi3ITuobN26I3iOrV6/WHvTz8yMiBweHvF5ZgrxSUlLEtpWGDRvmpukwM8fHx//777+zZs3y9PTUvktoWVtbt23b9osvvli7dm2O2oFmzZoRkSw93IWJEycS0RdffCEearvKnDlzRq6Qij1xSV1IPik2bdok6qQmT568fPny/fv3R0ZGFuTNMCMjNjX1ulqdnp4eFR+/RbpIIT9iY2OJyNbWVu5AmJmvX78u8hELFy7cs2fP3bt3JclKqNVZd+4MP3fOOiPj/tufDa+hVqtbtmQinjRJhtWvXGETEzYyYkP22frf//4nMoDyNtIpZmJjY0UNStWqVa9duyb5+dPS0nbv3j169OiOHXNuohJTmuXZRP+Sx49ZoeBSpYpEx1q9ePTokZ2dnbgMrl69+vfff1+QgfDnz58XBSKOjo66F6ipqakDBw4k/YxRjYmJmTNnjtiepf1BRIG5g4NDjj36sbGxvXr1Ek97//33c/TAybekpKS+ffvSf+PHdWvCxL6BUqVKiUXt7Oy8vb1zjJ2DAvrtt9+IyMrKKkdDPMmFhIQYGRkpFIoVK1bodaHXQVcZvWrThon4vx6uhnD16lUTExOlUhkWFma4VceMYSLW/XT+5Rcm4ho19N4rUDpFL+H+008/EVH58uW1OxrS0tLEXdkRI0ZIssSHH35IRNu1N1L0KSUlZerUqeJugYWFxY8//qj7p3/++ScRDR482ACRQME9efJEFOBIcrZly5aJj2TtBaVKpWrfvj0RdevWTd99/UAqKpVK7DR3dHTM987QhISEw4cPBwQEiHbtuvXve/bs0X3m7NmziWjAgAFSxJ4fotpat6vM2LFjiWiSLEmXkmH06NGFJykwc+ZMIho/fry0p83IuH/mjNnZs5aZmdidKiexZ6Vly5ZyB8LMHBISQkT6mGp461avsDC6d2+85GcuUcLCNBVYBUiL5dMHHzARf/aZQRdNSkqqXLkyEQUFBRl04eLr7t27YkJJnTp1pEo45t4ff/xBRH369DHwuq9TqxYTsSFzHYWKs7Ozubl5nz599u/fL8k9rfv37zdv3lx81dqyZYv2uFqt9vf3F3unRo4cWfCN5qmpqSEhIZ6entpe8yKXLXbDREREtG3bVhz39PR8Xam7jY1NwUvdb9y4IdL91tbWGzdufOVznj17FhgYqDuB1s3NDQXvEho0aJCowdLff9ITJ06I5NJPb5gYrmfoKqM/69YxEZcvz7mr4pOMGFreqlUrA6WhwsPZ2JiNjfnSJc0Rba9A/fQg0ZMilnA/deqUqampQqHYsWOH9qDI5tSsWVOqGRSGTLgL0dHRXl5eCoViwoQJuseRcC9apE24M/OAAQOIqFmzZtqrvaioKLGdf/HixVKtAnol5oja2NhcvHhRqnM+fPhw165dP/74Y48ePXJsd7h3755CoShVqtRbB/PqiVqtFvMGjh07Jo4cOHCAiJycnHCXSE9atmxJRLI0m4qLi1uxYoXua7t///5EtHz5csnXunmze1gYxcSgha2cfvnlFwnrGwrI39+fiHJcOEkiJSU8LEx59qx5Rka05CcvUYYOZSLu2dOgi27bxkRsZ8eG3w0YFBQktvg8e/bM0GsXO1euXHF0dBT5PllSNlevXiWiypUrG37pVxL/muSbVy0nMavGzMwsU9IK/7S0tCFDhohybz8/P90/Cg4OFilLd3f3hw8f5u/8YWFhPj4+4osbEZmamope8zmS+Gq1OjAwUJSWV6xYcevWrbp/KlWp+44dO2xtbYmodu3auWlSLwrexX5rsbPN29v7kjbzBfmVlJQkRlB+/vnn+jj/zZs3RXd+b29vfZw/99BVRh9SUrhaNSbi334z9NLx8fHipbVhwwYDLLfqk08yK1dmH5/sQz4+TMTt2xtgdQkVpYR7UlKSKHP4+uuvtQd37typUCjMzMwknAVh+IS7cOTIkbi4ON0jSLgXLZIn3OPj46tXr05E3377rfag6NhgZmYm4Szf4qxOHY6IyH5oa8vJyRwRwV27spMTOztz27Z87pyeFhf15qampoYcMCgKdl5XumIAX375JRFNnDhRPFSpVKLoz6B70EoMlUolvg7J0mnq77//JqI2bdpoj4imt/roIPT8+YmwMDp3zgbNtWU0btw4enGCjoyGDh1KRIGBgfo4eUREn7AwundPL9+HS47YWC5dmon4xb1YepSent6160MiDggw0Iq61Gq16CCHUeEFdPr0aVHY27ZtW7nuXqjVahHDnTt3ZAkgh8BAJuL+/eWOQw4nT54konfeeUcfJw8ICBD17P3799ctOj537pxoO+Pk5JSnzir37t3z9/evWbOmbpF4QEDAm+8b6a/UXbdmv0ePHrlsbimIgndXV9ccBe/Jycm5PwnkEBYWZmZmRnpoAXr//n2ROvDw8JD27lQ+oKuMPgQEHDU1TXd1ZVl614kuplWqVNH3O8DmzZuJqJZeIsi3AAEAAElEQVSjY6Y2OypLr0ApFKWEu9iA4+bmpr0tHB0dLT57FixYkO/TJiYmmpqali1bVntEroT7y5BwL1peTrh7eHiYmpr+888/+T7nyZMnRcMs3ZOMGjWKiOrVq4fLnbdzdOSbN7MfGhlxQgLXrs3a/htr13LVqqyHbX1//fWXUqlUKBSrVq2S/ORvMHfuXCLq16+fIRfVdeLECSJydHTU7vn9/PPPicjX11eukIqxGzduiP/asqw+a9Ys3SKdlJQUIyMjY2NjPU1AuX69Q1gYPXgg2w5Z6NChAxHt2rVL7kCY/xtZcejQIfHw33//nThxolR3N0WR+5kzZunp+WwFBsJPPzER16tnoN7Tc+bMUSiUffqsysgwxHIvCwsLUyqVpqamBWkwXcLt27dPzDL18PCQt5GFh4cHFXhCmFQuXWIirlpV7jjksHz5ciIaNGiQns6/c+fO0qVLE1HLli21TWuZOSYm5t133xVtZ7Zt2/bmkzx79iwoKKhTp07axo8ODg4+Pj4Xcp0e0kep+7Nnzz766CP6ryt9vjebvrLgXcLNuyXN/Pnzxe2TkJCQsLCwsLCw/fv3h75G8GusXbs2UMfChQtF7XyLFi0KQ4oAXWUkd+/ePUtLy+rVXY4elec+dFZWlmjlPW3aNP2tkp6eLm5Y/vrrr9lHRa/A0aP1t66eFJmEu/igtbKy0g7MUalU4otf165dC9Kp4NmzZ0RkbW2tPYKEO+TPywn3Ll26EFEBh4NPmzZN7FDWXgKmpqY2atSIDD8quih6OeEeGsq1a7Pum0a7drx+vbTLHjx4UBQvGL6ztugqY2lpKW9XmYYNG8bExIgjhw4dIqIaNWqgq4zkNmzYQEQffvihLKuL2WLa7aKnTp0iogYNGuhpuWfPQsPC6Pz58iqV/F8kSqaKFSsWknpPtVotUnLavR2TJk0ioqlTp0q1RERE37AwiowcK9UJS6b0dE3v6V9+0ftaDx8+tLGxIaLdu3frfbHXE00qevXqJWMMRZe29nPIkCGyV2iKyWFjxxaKNwG1mu3smIjzOw+oCBNbJ7UNqSMjI52dnaVtbnbhwgVRGuzg4KC7IzM1NXXw4MH0+jGqKpUqNDTUy8tLO27UwsLC09MzJCREdyRp7t26dUuqUvfz5887OTkRkb29fUHKv7QSExMDAwPd3NxQ8F5AarW6U6dO4jJGQk5OTuXKlct3EyTJoauMtES3YRmL6pj58OHDIs8QGRmppyVmzJhBRPXq1dNeA2zfvn10w4aJ774rQ6/AAisaCfebN2+K96M///xTe/CHH34QWcjY2NiCnBwJd5CKnhLuKpWqY8eORPTBBx9or6vCw8MtLCyIaN26dQUKuthzdORWrbhzZ80vhYIDA/mjj154zrhxPG0aX7jAd+9Ksubly5ft7OyIaMyYMZKcMK9atGhBRMHBwbKszsw5vh6oVCoHBwciOnXqlFwhFVeTJ08m+doX1KtXj3SaBf3222+kzxo0Zr56tWVYGD18WCK72MotPj6eiCwtLSUZWFdAkZGRRFS+fHntkR49ekj7vpeaejksTHnmjGl6ujQfDSXWpk1MxGXK8JMn+l1oxIgRRNS9e3f9LvM2sbGxolpWkgxXSbNu3bqqVav27NmzMLzPiCE0rq6ucgeiISr8/vpL7jgMTqTtQkJCxMMdO3YQUefOnaVd5fHjxyLTXapUKd1eH7otWQYOHKjdw3f58mU/Pz8xuIiIlEqlu7t7YGBgwafKqVQqbal7pUqVchTX379/X3zeEdGHH354//79V55k7dq14gyurq6S3yY/ffq0t7e3Nl9cpkyZCRMm3JXoa1QJ8dVXX4nLGDc3Nzc3t3bt2nV6Dc/X6N+/v7cO8aqoWrVq4SlvQlcZCR07dkyhUFhYWMhe9dK7d28i8vLy0sfJtVdQe/7rRZienu7i4kJEAbL0CiywIpBwz8jIEJu5+vbtqz2o7bMRGhpawPMj4Q5S0VPCnXW6J82fP197cPHixURka2sr+9tuoeboyPv38+3bml9GRrxqFXfp8sJzhg/n+fP5vfeYiG1s2N2dfXw4KIjz0rFRKyYmRlx89+jRI3+1LQU3b948IvL09JRl9Vfq1auXiYkJahwk1717dyL6S47v32lpacbGxkZGRtot/6LB9+zZs/W3aHz81rAwunjRUa1Of/uzQVJHjhwhIjc3N7kDYf5vfkC7du20R8T+U2lHut2+3T8sjCIj5bl1Wpx06cJEL8y+ktzZs2dFL5fr16/rcZncmT59OhHVr19f9hrtIkckob7//nu5A2FmTklJMTU1NTIyKiRTcLdt46VLS2KFuyjaiPhvJpOYmK2dFSShtLS0YcOG0X9jVHUTlxs3bhT563fffffHH3/UbWtep06dGTNm5Huc6evcunWrTZs2YolXlrrb29vb2Ni8vG5mZqavr6/4i4MHD9ZfX6aUlJTg4OBOnTqJtebNm1fwmw0lR/369Ymo4LksrUJY3oSuMlJRqVSij2KO8c6yiIyMtLS0VCgUhw8flvzkL+8RnDNnjnibzZCrV2DBFIGE+8SJE4nI2dlZe62jnSQpSU0fEu4gFf0l3Pk184E//vhjImrVqhW+0b3Wyy1lLlzgcuU4KUlzJCuLa9XiQ4e4Vy8uW5aJXvhVsSJ7ePDUqbx9e5pOV8fXSUxMbNy4MRE1b95cxv2VUVFRYrdXkvbHlNX58+etra2trKyuXr0qdyzFjZjopW22ZkhhYWFix5/2SOvWrXVLEvRDfflyw7Awevz4D32uAq8gdjDoqaQlr37++Wci+uyzz8TD1NRUMT8gLS1NwlVSU6+fOWN85oxJWtptCU9bAl28yEZG3KqVHju5i8zU119/ra8F8iItLe0VHUghF8SotI4dO+oeVKvV0v7Tzj1R9SVhUizfNm/mcuVY+2k/YQIvXy5rQIYSFxcnqs61mx68vLz02qdCO0a1X79+uhfzZ8+edXBwMDExEfllW1tbLy+v0NBQ/RUUv7XU/eVX5qNHj0TTXTMzM4MVhJ45c6Zy5cpEdOzYMcOsWNTdvHlTvIS0swkl4ePjU3g+BwV0lZHEH3/8QUSOjo5yNYzN4bvvvhMlONLuRXt5Co62VWAhGR+VD0oq3P7++++AgAATE5PVq1eLzQVENGbMmLt37zZr1mzq1KmyRgdgON26dRs7dmx6enrfvn2TkpLEweXLl1etWvXIkSOilgpyxdmZevSg/v3p5Ek6e5aGD6eaNal1a9q0iR4/ppgYCgkhPz/y8KBy5Sg2lnbsoKlTqXv3+R9/XLly5e7du0+dOnX79u0PHz7MceLMzMw+ffqcP3++Zs2a27dvt7S0lOXnIyJHR8eWLVumpKTs2rVLrhi0YmJiunfvnpSU5OHhIXaEgVQSEhKioqIsLS1FZsfAzp8/T0TiDhMRMfOlS5eISIzT0RtFxYq+RBQb+xOzSp8LQU5Xr14lorp168odCNFLwVy/fl2lUjk7O4vuz1IxN3exs+unVJbdvXu5hKctgRo2pIMHafBg0n5y3r1L//wj2fnXr19/6NCh8uXLiy+BsjMzMxNFuJMnT3769Knc4RQl7u7uRHTixImsrCxxZNGiRWXLll20aJEs8bz33ntEdOzYMVlW15WRQSYm9NlnxExElJJC6elyx2QQ4eHhRFS/fn2RBNc9oqcVx48fv3XrVmtr67/++ku0qBLHXV1dly5dmpmZWa5cuU2bNsXGxv7555+6U1Ilp1Qqvb29L1y40KZNmwcPHnz00Ud9+/YVdyCIqFKlStrqciEsLKxp06b79u1zcHDYv3//+PHj9RRYDk2aNGnXrh0RiTwyvJW4s9i9e3dTU1MJT+vp6UlEGzZs0L5oZacNSe5AirCkpCTRQXT27NnaWRHy+t///le1atUzZ86sWrVKqnMy84QJE9Rq9ZdfflmrVi1x8Lvvvnv27JmHh0fXrl2lWsjACnXC/dGjR8OHD2fmGTNmiJbERLRs2bL169dbWVmtWbNGe4cZoCSYO3du48aNb926NWHCBHHEzs5u9erVRkZG06ZN27dvn6zRFVaenvTfvToioiFDyMSEli4lDw9asID8/cnVlTZtyn5C5crUvTtNnUrbt9OjR3TrFq1fT19/Te3bh8bHP3jwYMeOHT/88EOPHj0qVqxYvXr13r17z5w5MzQ09OnTp97e3v/880+5cuV2795drlw5w/+sugrJ9U1iYmK3bt2ioqLatm27cuVK7ZclkMT58+eZuWHDhkZGRoZf/cKFC6STXr97925CQkLFihUrVKig13Xt7PpnZjZZubJKSMgWvS5USBw7dkwkl2V35coVIhKN+2UngtEm3MV/In3EVqrUlPbtn/XrN/vu3buSn7xEadCARo+mzz7TPDx3jpYskebMqampYmTujBkzRCVUYdC7d+/OnTvHxcVNmzZN7liKkvLlyzs7OycnJ4s7uERUunTpuLg4uVLehSfhTkTt25NCQatXyx2HYYn0eoMGDcRDlUp17do1hUKh1w+j7t27Hzt2zMnJadSoUbr59AcPHhBR165de/XqJe393Tdwdnbev3+/KHXfsGFDgwYNQkJCXn7asmXL3N3d792717p167CwsJYtWxomPEEkyJBwz6UtW7YQUc+ePcVDtVpdkLM9evRI/Mbd3b1KlSp3794Vm1ALg169epmamu7du/fx48dyx1JUTZ8+/cGDBy1btuzfv7/csWhYWlqKck9fX9/ExERJzrl69eojR45UqFBBXNER0blz51asWGFqajp37lxJlpCHnOX1b6RSqTp37kxEXbp00W5VuHz5sigaXbNmjVQLoaUMSEWvLWWEV/4T+P7774nI0dHxib7nkZVsarX6+vXra9asmThxYps2baysrHK8nSqVylKlSp05c0buSJmZ79+/r1Qq5e0qk56eLub91q9fPy4uTq4wirGAgAAi8vb2lmV10cBB+/4mvjwYZjJSYGAgEb3zzjuFZzCUnkRGRpYrV6506dKF4ZpE9C8qDA2ymdne3p6ItMPipkyZQkTfffedPtYS7QtGjhypj5OXHAkJbG/Pbdrwli3MzJs388cfS3NmseHV1dVVrrkprxMeHm5sbGxsbCztaIFiT7RwXbRokXh448YNenFCsiHFxMQQUenSpWV/da1fz4MGcXg4OzhwXBx7e/OSJfJGZCC+vvNMTCznzZsnHl67do2IqlevboClX25kJGrGZ82aZYDVX5ajq7v20jotLW3kyJHiuLe3tyydjlevXk0vjtyD13nw4IFSqbSwsNC2B5kxY0bjxo1ztAzK5anq1Knj4OCgTZehq0wxExERYWZmplQqT548KXcsL1Cr1a1atSKib7/9VpITduvWjYhWrlypPSLe7r766itJzi8XY0mz91L69ddfQ0NDy5cvHxQUpC2KHDNmTEpKyvDhwwcOHChveACyqFevXkBAgLe39+eff969e3cxHX7KlCn79u07evRo69atRSWOJCpWrIhONboUCoWLi4uLi4v2/ef+/ftnzpw5evTokSNHRNOxfv36NWnSRN44hUqVKr333ntHjhzZsWOHLPfDmXnEiBF79+6tXLnyrl277OzsDB9DsZejxtyQ+KUGMiIYbYcZvRo+fPiMGTMuXLiwa9cucY+8uCpfvnzXrl3//PPPHj16TJkyxc/PT39b19/s+fPnUVFRpqamTk5OsgSgKzY29unTp7a2tpUqVRJHchS8S2vKlCnr1q0LCgr69ttvC8OPX6TNn0+9e5O2C8Lvv9OJE296vomJOjPT+w1PSElJ2bx5s0KhCAgIkGWvzxvUr19/5MiRS5cunTRp0o4dO+QOp8ho2bLln3/+efz4cTGIu1atWhUrVoyNjY2IiHB2djZwMJUrV65WrVpkZOSVK1caNmxomEWfPKGyZV/9R/Xr08CB9P33hgmkUDh58guF4ot33kkTD2/efF61avsGDawNsPTLNew5yu0NTJS6//777xMnTtywYcORI0cCAwNdXV179+596tQpc3PzJUuWiKGvhocK99zbsmWLWq1+//33te1BNm/efP78+Xx8hFWsWDEjIyMmJub48eOiH5enp+fChQs3bNgwa9Ysua4Yc/D09NyzZ8+GDRtGjBghdyxFzzfffJOenj5s2DAxUKTwUCgUc+fObdmy5dy5c2/fvv1yJWJeVaxYsUOHDocOHWrdunX16tU3bNggWgWKdjpFmNwZ/9c6fvy4jY1NjsK9O3fueHl5SVuwiQp3kIoBKtwFHx+fHFOht23bZmJiIvLvUqlVq5a0YRdvmzZtIiI3N7ccx2WcZ7tgwQJ6ccy3IX355ZdEVLp0adH2BPRB3N05cuSI4ZcW7TV0Sw7Fxti1a9caJgAxM7N58+aGWU5e2gFuffv2lWsa8+nTp4moYcOGsqyeg2ih9t5772mPiN4C+ttgNHToUCL65JNP9HT+kkBUuDPzmDH81VeaCveBA3OOKs/xy8Li7Y1oq1WrVrlyZd39LqGhoe3bt09ISDDwzxgdHZ1j283Ro0ctLS3lqoctoi5evCj+t2qPfPzxx0QUFBQkSzyizGKJQerJ1Wr+4guuUoUjI3P+kahwZ+akJK5enVu1KikV7mXLMhHHxGge/vADE/GkSfLsbxNN8yJf/t9jWFeuXGnevDkRKRQKsfXZ2dn5woULMoYkOstbWVkV+62HBSe6OGjf0KKiohQKhZWVVWpqaj7O9vXXXxPR+PHjxUO1Wl2lShUiOnXqlFQBF1BcXJypqamxsfGjR4/kjqXomT9/fqlSpf79998cx6OiogwcSXJy8ssb1qtWrSr2v0qoYcOGc+bMqV69OhEtW7bMwD+m5ApvhXtcXFxiYmJQUNDo0aNdXV3FwerVq4scNEBJJhKpWgkJCePHj8/MzOzWrZuHh4dUqxSeRqhFwocffmhjY3PmzJlbt26JCZZ37twZMWJERkbGkSNHZAmpb9++X3zxxa5duxITE0vrNrLXv6VLl86bN8/ExGTjxo2y1F+XBFlZWVeuXFEoFAarudOVY2Kq9ojB/nePGjVq5syZJ0+ePHDggBjVVYyNHz/excVlwIABwcHBN27c2Lp1a7Vq1QwcQ2Fu4J6ZmXnr1i2lUlm7dm09rfj999+vWbMmKCjI19cXw58LaMYMatSI7O2JiD79lNq3f9OTlUq1Wv3bG56Qnp4+derUJ0+erF69WjT/IaJp06YdOnRoxowZs2fPlizut0lLS2vTpk2lSpU2btxYsWJFbSQpKSkYAJAn9evXt7GxiYyMjI6OdnR0JKKWLVtu3br1+PHjotuMgbVs2XLt2rXHjx8fPXq0XhfKyqLhw2n1ajIzo6tXSZvESEqiAweyn2ZlRXPmkKcnDRqk13AKhdhYevKE7OyocmXNkfBwIqL69WUo3X3y5MnDhw9Lly4tEpoyqlu37rFjx37//fcJEybY2Ng0btx4x44d8u4ltbOzK1u27JMnT2JjY7Wbz+BlCQkJBw8eNDY2Fg00iGjz5s3M3K1bN3Nz83yc0NPTc86cOcHBwT///LNSqVQoFD179hRF7s2aNZM09tx69OjRkydPtFeMdnZ27du337NnT0hICIrc8yoyMjI5OXnq1KkdOnQQWxaePHnSp0+f27dvX7t2TdxvM4yZM2cuWbJk2bJlvXr1Ekf++uuve/fu2dnZLViwQKpILly4sHjx4unTpzdt2tTW1vaTTz6R5LRykjvj/yZiI2HNmjUTExP1twoq3EEqBqtwz0E0DGnWrJksPftAa/DgwUQ0c+ZM8TA5OdnKykqhUNy5c0eukETvMwmHXuRGSEiIkZGRQqGQqxithBAdXZydnXMc37hxo14/NIUffviBdHpEPnv2TKFQmJmZGXJLhxhF2LlzZ4OtKK/r16/XqVOHiMqWLXvgwAEDry5GGE2dOtXA677S2LFjiWju3Lnioci/16hRQ6+LDh8+nIiGDRum11WKMW2FOzOvXMl2dpL1cA8KCiKiihUrPnv2TBw5e/asUqk0NTU15MiBGTNmEFG9evW0b4NisKGdnd3jx48NFkbxIHr+BgcHi4eicEGuHTZnz5595aettNLSuFcvJuJSpXjPnuzjT55ws2ZsZMQ//cQLFmQf//JL/ucfvUZUKISGMhG3bp19pG5dJuJz52QIZv/+/fTi5irZibuMv/zyi9yBMDOLMa0HDx6UO5BCbdWqVUTUsWNH7RFRNbJu3bp8n1P02tJufz98+DARValSRZbdBs+fP3/33XdtbW2PHz+uPfjbb7+RoeY8FTPx8fHlypUjoo0bN4ojKpVK3Erx8/MzWBj37t2ztLRUKBTal1lKSoqeitA/+OADIhozZozh9ynqg1Kv2fwCmjt3buPGjW/dujVhwgS5YwEopJYtW7Z+/XorK6s1a9aYmJjIHU6J5unpSUQbNmwQDy0tLT/88ENm3rhxYyEJyQBOnTrVv39/lUo1c+ZMWSrRSg7xxS9HefvWrVv79u3bunXrqKgova6eo338xYsXmblBgwbGxobbOff555/b2tqGhoYeP37cYIvKyMXF5dixY507d37y5EmXLl3++OMPQ67+yibply9fFpN7Dezq1aukU26f46Ge+Pn5mZqarlq16vr163pdqCQYMoQk3Azj5eXVvHnz2NhYbT27q6vr8OHDMzIyvvrqK8mWeaOHDx/OmjWLiObPny/eBrWr+/n5lX1dQ254DTGR6NixY+Jh06ZNzczMLl++LMqkDKxRo0bW1tYRERGxsbF6WuL5c/LwoM2byc6OQkOpSxfN8QcPqH17On2aqlQhT0/y8cn+K3PnUufOegqnEBH17NqW6RkZdOsWGRmR3rYzvTkYORu4v5K4CLx165bcgRChjXvubNmyhYhEG0Yievr06ZEjR0xMTESSMX9ExbH26567u3uVKlWioqLCwsIKHG/eqFSqQYMGnTp1ys7OTmRjhbCwMAsLC5S354Otre2PP/5IRF988UVKSgoRKZXKBQsWKBSK2bNnG2z/nFh90KBBYlAqEc2ZM+fu3buNGzeWvAj9559/NjExWbZsWWRkpLRnlofcGf+3uHz5stieoL8KTVS4g1QMX+FugH8gkHtpaWmiD8+NGzfEEZFqf/fdd+UK6cGDB0ZGRmZmZoa5RXzz5k1xEz7H+A2QUEJCQlBQkIeHh5GRUbVq1ZycnGJjY7V/GhERIVKilSpV0mv3RlFNc+nSJfFw0aJFRDRixAj9rfhKouz6Y6kKZYuCzMxMUYXQoGbNtIkT2SBbCrKyskQTG+3/cWZOS0sT7bO8vLzy13g030S/jrt374qHYq+Ddr+FhGbPnh2j7RzMLL4rDhkyRPKFSoKFC1l3Y8bjx3zrlmQnP378uNhkc/PmTXHk4cOH4hN59+7dki3zeuIGs+7QlDlz5hBRnTp1sPswH0JDQ3NcPoniWX3vGX2djh070n+dHyT38KG6SRMmYkdHvnIl+/jt2+zszERcrx5HR+tj5SJg5Egm4sWLNQ8vXGAirl1bnmBET6EFuhsN5Cayt6K+R3bis9jX11fuQAqvlJSUUqVKKRSKe/fuiSPLly8noq5duxbktKdOnRJX/iqVShwZP368nq6L3uyzzz4jInt7+2vXrmkPirvRpqamLzcih9zIysoSFU7Tp0/XHhwwYAAR9evXzwABHD58WIyL0I6viI6OFiN/9bTj1sfHh4jat2+vj5MbWGFPuDNzYGAgEdnY2Ny+fVsf50fCHaRi4IR7WlqaaKCMMW6Fh/jKPWPGDPEwNTVVNE+/JWFeIY/atm1LRKtWrdL3Qo8ePRLZNw8PDxlHxRZXqampGzdu7Nmzp5mZmbhfbmFhYWtrS0ROTk5XdL6jx8XFdejQgYjMzc0LskH1DRITE5VKpZmZmTaRNHLkSCJauHChPpbTtW7duv79+2dlZYmHDx8+FDscRYl9yfHnypURNWsyEXfsyE+e6G+h69ev+/n5Va9e3cLCwtraWvdan5l37Ngh3uJcXV0NNkQuPj6eiEqVKqXdKy1GGi5fvlzahcTk5wYNGmhfb3fv3jU1NTUyMtL9Jgm5sXMnE7GTE//331J6oqtbnz59tEdEwXvdunX1nfIOCwsTHWy0t9u16f5du3bpdeniKikpydjY2MTERDsmWmwXmDJliizxfP/990T01VdfSX7myMjId95xbdjwqJPTC7egLl3iypWZiJs10+t7fGHXogUTZd+rW7OGibh3b3mCEaWdhSppKIruXVxc5A6Emfmvv/7Kcd8Rcti6dWuOW4ndu3cnKZpy5OgqI9pwGbirzNSpU8XXk6NHj2oPrl+/XnSWN8BX0WJs3759RKSb8o6KitJryltLpVK5ubkR0bRp07QHxYV337599bRoXFyc2Bqop/vchlQEEu6s5xbVSLiDVAyccDfMkAPIk+3btxNR48aNtUfE/efZs2fLFdLixYuJqEePHnpdJTk5uUWLFuKN+vnz53pdq0RRqVSHDx/28fHRdiRQKpXu7u6BgYHPnj17/Pix+PpnbW2tm9bJzMwcM2YMESkUCn00+BPX8U2aNNEeEc0E9d24MzAwUKlUEtHWrVu1Bz///HNRZK3XpQuj48e5UiVNFlOn8FwSiYmJv//+u7u7u3ZDZMWKFcWwpiFDhujWs1+8eLFGjRqitOrEiRPShvFK4uXXtGlT7RFx71m3W2jBic0TpqamW7Zs0R588OCBvb19mzZt8C6XJxkZXLs2E/HPP+txlejoaCsrKyL657/O1unp6bVq1TIxMfnjj0P6W1etVot/Kf/73/+0B8U9SA8PD/2tW+yJf9faj5VNmzYRUadOnWQJZvfu3aSH5t1XrlwRU2Hbtev88GH28RMnuEwZJuIOHbgkX+Or1Wxjw0SsHYLwv/8xERuwcfELypQpQ0S62wpll5aWZmRkZGJiUhh20ohpBw0aNJA7kMJr6NChpDPuKykpycLCQqlUPnjwoIBn/vrrr4nIx8dHPFSr1WK0r153u+patWqVQqEwMjLatGmT9uCBAwdEndDPev34Lxl69+6d4/uOuMPRuHHjLP3VMjAvWbJE3LzR3v8+duyYQqGwsLDQ65i6X375RVSVGXgTreSKRsI9Pj5eNIHSvZaVChLuIBVDJtx37doldk+fPXtW8pNDvmVkZIjL8atXr4ojmzdvFmlouUKKjY3Vd1eZrKysHj16EJGzs/ND3a+MUBBnzpycPr1y5crajGfTpk3nz59///593WelpqaKmzrGxsY5pmYFBASI9PSIESOk/SYmdp5pp0dmZWWJMvO4uDgJV8lh8eLFIuH7ww8/aA9mZmb27t3bwsJi3759+lu68IqJ4XffZSK2smKJakDCwsK8vb1F4pKISpcu7eXlFRoaqlart2/fLurZmzRpot0NzcxPnjwR/RbMzMxWrFghSRhvsGzZMt2vHCqVSrRWk+otTq1Wi73Ypqamurd2oqKixCaeJk2aIOGeJ3PnMhHXqcP6zgiJhgb169fX7rLateuok9NVOzs91giLa/UKFSrojmw1MjIyNTXFToiCELORf/rpJ/FQ9E+3srIywBa6/fv3r1+/XvfIs2fPxL4uCb/5h4WFiS58bdq00X372rGDLS2ZiD/+mIt4nqGg7t5lIq5YMfvI7t08Zgzv3y9DMGI0TtmyZWVY+41EwzdtNy0ZJSUliTSctrEJ6MrKyhLVM9oviaLreqtWrQp+cnm7yuzaxR06+CsUil9//VV7MDw83M7Ojog+++wzA8RQ7N2+fdvc3DzH2FLxz/+3337T06Laka0bNmwQR1Qq1bvvvmuADWdZWVmNGjXSvQwooopGwp2Zjxw5Ymxs3MvFJUPqz1gk3EEqBku4R0dz+/YDcbu4cBo2bJjurisDd5VRqVQv1zK0b9+eiObOnaunRUUxddmyZa9fv66nJUqQe/c4IIAbN2aiZ9bWFhYWVatW9fX1fUPiRq1W+/n5ifSoj4+P7vecTZs2iVxkp06d4uPjJQwzMjJSW9cgRlZWq1ZNwvPn4O/vLwr2AwICtAdTU1PFVlwbG5sjR47ob/VCLS2Nhw5lIlYo2NeX8/0t9+7doNmznZycxAtJoVC0a9cuKCgoR2ZZW89euXJl3Xr2zMxMX19f8Xe9vb31mhGbOHGi7vW3GBbn4OAgycnVarVoHGlqarpt2zbt8Xv37olsu6ur65OS3N8h7x49YltbJmID9FZJTU0VBTpLly7VHvzgAyZiPX3fT05Orlq1KhGtXLlSe7BNmzakn/YjJcrq1auJqHv37tojomeCvgtNtm3bZm5ubmJiEhYWpntc5DW8vLyOHTtW8HzigQMHxMXhhx9+mJKSoj2+dm2GiQkT8ahReuy/VFTs2MFELNOuhpz+/vtvKpQ9hTt16kSFpntVpUqViEj3ljxo7d27l4jq1q2rPSL6ckj1BU2urjJhYWxlxUQ8e/Y57cHo6Gjx4ejp6YkbMFL53//+R0Rubm7a/6Tr1q0jovLly+uprk5MjWrVqpX2VSSmDjg4OBig9ET8k7GystIdp1TkFJmEOzMfXbCALSy4cmV+9EjC0yYnJ7du3fqDDz7QHkHCHfLn5YT7l19+2bp1a2k3c6lU3L49KxTqzz4LNmRfNsilnTt3ElGjRo20RwYNGkRE/v7+Blj9q6++MjIy+v3333UPDhgwQNydLl26tLu7u4+PT1BQUHh4uCSvH5HqtbCwOHbsWMHPVkxERvJ/pY7MzLdusdiFp1JxRASfPv2KLeKPHvHixfzee6xQMBETcYUK7ONz8/TpXK65fPlyU1NTIurZs6d20x8znzx5UkyYrFWrlra/sLTE1d5HH32kj5Or1WrRutfIyEi3SXdycnLnzp2JyM7OzjCdTAq1gAA2MmIi9vTkPF0Bp6ZycDB7eLCR0ZF27cQ1tK+v7xtuED558kQMCXi5nn3ZsmXiRdilSxf9bXf44IMPSKet0NGjR+3t7SVpNKFW8+TJQURkbm6+c+dO7fF79+6J77FNmjR5+vRpwRcqUby9mYi7dTPQchs2bLCxse3W7TftHcYrV9jEhI2M+MIF6Zf77rvvcnz7Xb9+vV6//ZYcd+7cISJ7e3vttYqXlxcRLdYO0NSD1atXm5iYENGYMWN0k0Ri84S9vb24rVi2bFkvL6/g4OCkpKR8rBISEmJhYUFEAwcO1N1/9uuvv9au3djWNs7Xl3GBz8x//sk2Njx+vNxxMDPz3Llziejzzz+XO5CcxJjKQjLKVdxuLFRt7gsP0QxW27AhIyNDFIBLVZL1clcZkfI+efKkJOd/pdu3uWJFJuIBA7LftZ49eyaGfLZp06ao9wMpVJKSksTW56CgIO1B/d3jv3r1qomJiVKp1N5+TkxMFDfV1qxZI/lyr/Txxx+3aNDg2hdfGGY5fShKCXdWqbhDBybirl31ehkiS8I9IyMjICCgbdu2uj2YkHAvWl5OuOvDtGlMxOXLc4G7vYFeaLvKaOdYigk5bm5u+l5aNFkzMTHRdrBl5pCQECMjI4VCIaLSVa5cua5du37//fdbt26Njo7Ox4qrV68WDft02xwDe3jwfzvvmJnd3PjIEb5+nV1cuF077t+fHR01LUhTUzkkhD09WZS0EbGFBXt6ckhIPpovHDlyRGxWfeedd6KiorTHo6OjXV1dRbLg0CHpexmLbtf62FqoUvGkSXesrUubmppu0PlPmpCQIJomV6hQoaSNS32tXbs0zW4bN+bcFJcdP87e3pq/QsQWFs9Hj/73339zU4j0hnr2I0eOiBs8NWvWvHz5ckF+oNcRXyBz3D3SLRHNH7Wax43jUqW4WbOvQkJCtMcjIyNFtt3NzQ3Z9rw6d46NjNjEhA3ZW+XDD58S8cSJ2Ud8fJiIJa9MjYyMFN20dPd3ixL7gk/AA2Z2cHAgnfYL4iJn4MCBelpu8eLFog+br6+v9qDuTd+vvvpqwoQJYpePUKpUqV69eq1cufKxtst4LohGcJ9//rnu++0PP/wgdhf98otepp0XIfHxHBjI2ntmZ87wf//C5DR8+PAcu2cKifnz5xPRuHHj5A6EmXnEiBFEtGTJErkDKXS0TdVP/1dJI/ZM6FZoFdDrusrob7vVkyeaAS3t23NamuZgWhp//HF/IqpXr55eW02WTEFBQWSoLnZdu3YlolGjRmmPiIv/li1bGqzo81lEhNrcnJVK1ud9I70qUgl3Zo6OZnt7JmJ93sU1fMJ9586dtWvXFpduuusi4V60GCDhfvIkm5iwUsk6CVUodMRFubbTdFpamo2NDem5waI2sa570/v06dNigvmPP/7IzDExMSEhIX5+fh4eHhUqVMiRf7ezs3N3d/f19Q0JCcnRKPyV9u7dK6pZ9VpuViS9MuHevn32J9fjx1ytGh85ws2ba9KdJibs4cFr17JOcXo+3Lx5U3yaODg4nDlzRns8KSnJw8NDVCWvXr26IEu8TFyQ6U5JkkRmJnt5MRE3a3ZIt9z46dOnontg1apV9VSzX1TduMF163LlyhwTw8+fs78/9+nD/fpxQACnp2uec/8+BwTwO+9oXnhE7ObGAQH5aHEdGBgo3gHef/993YZF0dHRTZs2JSJra2vdHuiSEC1izczMpO1ao1bz6NGaG1579mQfj4yMFG123Nzc8L0xH9q2ZSI2cGXS+fNsZMTGxhwerjkSF8dlyzKRVJMONOSaYFZy9OnTh4j++OMP8fDChQtEVL16dX2spW1cNmfOHO3BrKwskUA0NTUNDg7WHo+IiAgICHB3dxeTRYhIqVS6ubn5+flpbw+8QXp6uu6lmlqt/vLLL0VOH7dqmPnKFSbiMWM0Dxct0ldLqDwRw+EPF4bc/4t27NghNpbJHQjzf/+OvijK5ah6IrLhDg4O2kzlqFGjiMhP0hHAhuwqk5LC773HRNywYfbtMbWavby4YsW7zZt3jIyMlHxRMNicdvHGUrp0ae1E34iICDMzM6VSqdc9E68waRITcYsWRXTnV1FLuDPzjh2sULCZGeuthd/7779vsIT79evXRRKEiGrVqpVjUSTcixaRcLezs9PT+RMSuEYNJmKdyhsojHbt2kVEDRo00B4ZPHgw6XPox8mTJ0Wrbu3ge2aOiIgQWfURI0a88m/p5t9FzxldlSpV8vDw8PPzCwkJiY2NzfF3z5w5I8YqTp48WU8/VBH2csJdDEHTTRFOnco+PjxzpibdKd2w2adPn7Zt25aIrKysdAt1s7KyPv/8c5FQ8PPzk+Ti+9atWz/++KO1tTUR6Q5KKrj0dO7Th4m4VCkODc0+/uDBg4YNGxJRjRo1bt++LeGKxUR8PF+5wioVt2nDw4bx2bN86hT36ME9e/KjR+zhwcbGmjx7pUr8zTf830ac/Dly5Ih4k8lRz56amiqaP0j4YmPmixcvDh48WKlU2trahmuTqQWmVvNnn2my7bo3s+/evStKWVu2bPlMt0kU5M5ffzERlyvHks6PyJVRo3K2fl68mInYyUmyKZSHDx9WKBSWlpbanEJUVJS4w33gwAFp1ijxfv75Z91rGJVKJcoXdLdwFZxarRaTIXJ05EtLSxP3VEqVKvW6aUyPHj0KCgry8PAwMzPTXj45OTn5+PgcPnw4NxuGsrKyPvnkk5dz+iXZlStcty7XrcuiXVxhSLirVCrxr7sQ7nO6fv26uCiSOxBm5k2bNtGLoxdA+Pbbb0mnJZFKpRKtOc6fPy/hKobsKjN8OBNxtWqsW6P1xRdMxNbWfO6c5AuCRlhYmBjira3ke/jwofhw3L17tyRLZGRkiPot3XmBH330ERENHz5ckiXyICmJK1dmIl61ytBLS6EIJtyZNV+MatV6RRvcAoiPjw8KCvL09DQxMSlXrlyzZs30tBv6v+USJk6cKBoF2tra/vzzzxkvNhC4du1as2bNqlatKkpToZBTq9ULFiyws7MzNjYWRS6Sl14OGMBE3LRpdqkiFE4ZGRmi0af2PWTbtm1E5Orqqo/lbt68KdLl3t7e2oOPHz92cXEhoq5du+ayFFQ3/65tVPrK/PuZM2dE14gBAwagN98reHhwxYpcs6bml5kZ//EHOzm98JwVK/jjj/V0rz4tLU2kO42MjHK09QwMDDQ2Niaifv365fv/3dOnTwMDA3WL+wR3d/ejR48WPP7kZM2cQ1tb1h0NcPfuXTG4sl69ekV6fo7e/fsvu7hkT9xLSeEKFfjcOa5alU1N2cODg4Pz0bPolaKiorT17LpTRtVqtb+/v+jP0K9fv+QCbN2Ij48XrzfxMhOTBpVK5aBBgwr+OatW85gxTMSWli/c2omI4A4dfMWrGtn2fEhNTW3UKI6IZWnAoJ3Uqt0bk5nJTZrwxImcr57bOalUKjc3N9IZkM7/9Qnp16+fBAsAMzOfOHGCXpwxKIqiJExMZ2VliVn3ZmZmGzdu1B5PSkrSjgnJzedacnJySEiIl5eXra2t9jOxXLlyXl5eISEhadpuCy/Szenv0d1cU7JducING/LOndy4MWdmFoqEu5jO7ejoKHMcr5KRkSH6LL/uZWZIFy9eJKI6derIHUihU6dOHSLat2+feHj06FHSw34dQ3aViYjgZs1Yt63jr79qtuzizUzfxLe83r17a4/Mnj1bfFxmSHF5L0ZW1KxZM/2/rJOYX2ptbZ2bTfDSW7GCidjBQZprOMMqmgn31FTNbuiRIwt+skePHi1btuz9998XuW+RoRA3sc3MzL755hvJv2ipVBwUxHXqPLKxsVUqlV5eXjmqR58+fTpu3DiRE6latWo60quF3uPHj7t37y5eP9oiF4VC0bRp05kzZ0qSef/tNyZiKyu+fr3gJwO9E3uQp06dKh6mp6eLwTiS34Z59OiRSEF6eHhoE+spKSktW7YkIjc3t/xN9FKr1deuXVuzZs3EiRNbt24titm1RJq1WbNmjRo1whacV3i5wn3zZraxeeE5s2ezTlM8yYl0p/g/laPLdkhIiPgf+sknn+TpnCkpKcHBwR4eHtqPSwsLC09Pzy1btvz666/iHgwRderU6UIBphMmJXHHjppJFbp1P9eusYfHRqVS2axZs0JYYla4BARwjgqUDz/kNWv42DHOS6PhXEpNTRWbeEQ9u+4f7dy5UxTdNG7c+O7du3k6rUqlCg0N9fLyEtt3RHWCt7f39u3bfX19zc3NRdrd09Mz3wPHtJ1kLC1Zd8bbzZtcpQrb2Kj79ZuRKGltR8kxbdq0MmXK9u+/Ua7eKvPmMRHXrJndWFbCLkSimXiVKlW0d5KOHTumUCgsLCzu3Lkj2TIlXkZGhuiSr+2QvnPnzlWrVj2UaE9YWlpaz549icjKykp3+M3Tp09btGhBRBUrVszrx1lWVtbhw4d9fX1r1aqlvWqytLT08PAIDAzU/canm9PH2HldIuHOzB99xD//XCgS7qJu5oMPPpA5jtcQXwSuFGzLmiRSUlKUSqWpqam0bd+KOrELwd7eXvufRUyG0EfvHUN2ldG1bRsbGbFCwStX6nUdYGZ+8OCBqD7RfnKlp6eLSruAgIACnvzhw4fizvGuXbvEkaysLLG92N/fv4Anzye1mt99l4m4CG6sL5oJd2a+fJktLZmI167N3wkeP34s9gDq5tnd3d0DAgLu37//+PFjHx8fIyMj8eYYEBAgVTfG/fuzW6eOGLHh3Iv7bTIzMwMDA0WxqsjFP3r0SJJ1QX/27dsnxjrZ2NisX78+JSVFFLmI90GhXr16fn5+2hHPeXXjBltZFd2dNCWRmISjW+IxZMgQIpo+fbqEqyQnJ4vvhM2aNXv+/Lk4mJWVJb5A1qhR44FEo3VVKtXly5eDgoKGDh3q6urq6uo6f/78CxcuKBQKa2trFLnn9HLC/dAhrlIlu12FuG746y99B/LXX39ZWFgQ0fvvv6978/jChQuurq65vP2TlZUl8p7a+y5GRkadOnUKCgrSvZ3z/Plzf39/bfWxl5dX/orQxVYeR8cXpiyeP88VKjARf/LJNpQbv93s2ayz34WZuVcv/q8Psj7o1rP3799ft549PDzc2dnZyMjon1zPHrl+/bqfn58YPileTuL1pnvae/fu+fj4iDvcJiYm3t7e+Zj8LAalWlry3r3ZB2/cYEdHJuJWraTdSFmCREdHi8qV/fv3yxVDZibXr89EPG+exGeOj48XF+raSc4qlUoMltDH7OgSrk2bNkS0Y8cOyc+clJTUsWNHIipTpszx48e1x+/fv69tXFbA0Tvh4eH+/v66u8HEl01/f/+TJ0+K67dKlSoV5BZ1saRNuN+9y5Uq8ZQp8ifcZ8yYoacyYUmIUTq6m8xkJEaDRkREyB1IIfLTTz8R0bBhw7RHxD//Q4cOSb7W119/7eDgoJ2rpNeuMlqHDrG5OROxXPnYEmj69OlEVL9+fe1dnJCQEHEHN09DvF/26aefEtGHH36oPbJo0SIicnJykvMr//HjrFCwuTkXtbKGIptwZ+alSzUbzvNUM3X3Ls+bN2voUPG1UNQje3h4LF++/OWKuTNnzrRu3Vo8rUmTJgV8T4yKYi8vVig0qYSgoJy9BPbu3duoUSOxXIcOHXD5VfhlZmb6+fmJGzMtWrTI0VA4NTV127ZtQ4YMEaXNQp06dX78MUFnluHbpaVx48ZMxEOHShs+6FFmZqb4Qq5tNLx9+3Yieuedd6RaIisrSzRTc3Z21q32GjdunLhTKPmw8pUrVxKRp6en9ojYUy/5XMQi75VDU3fs4PLl+ccfedky7tKF33/fMLNfjh07Vr58eSJq2LCh7vyi3JS6hIWF+fj46M7XdXNzCwgIeEN14ePHj319fUUa1NLS0tfXNyEhIU8BR0Zyu3YvXE2dPq0Zl96hQ1HcSiiHLVv4vfeyH6rV7OLCR47oe1ltPburq6vui+3p06e5makrtlB06tRJm5xycXHx8/N7Q8nw3bt3vb29xaewqampt7d3Xu8yqtUv3Nq5cYMdHJBtL6hBgwbl+LCQxT//MBGXLs0S3XrWEPMt27Ztqz3yxx9/EJGDg4P2zjdIZdKkSfTidDhJPHz40NXVVeS7L+r0RIiIiBBzkuvXr5+Pe3ivExkZuXDhwk6dOmnLvMS7XK1atbAl4mXahDsz//QT29nxZ59xZCTLuLdt4MCBRLRixQrZIngj0TZk7ty5cgfCzNyhQwciet3Yg5JJTNzVvSOSlZV18OBBfYzXTk5OzjE9Qn9dZYTLl7lMGSbS68ZdyCktLU1sbVmyZIn2YJcuXYho7Nix+T7thQsXjIyMTExMtAPA4+LiypYtS0RbtmwpYMwFNWgQE7Hc15Z5VZQT7szcrx97eXFurm5v3+aAAHZ3Fwnvf11dzc3NPTw8goKC3poLCAkJ0ZZZeXh45OPCKCWFv/tOc9+vVCmePp1TUl54ws2bNz09PcUSzs7OmJlTJERGRoqWskZGRn5+fm/4yBTbS318fCpWrOji0kjsb6hWjX18+PDht+fcVCoOCOA6dRhlnUWLuD+sbbCQkZFRpkwZItJ+gBXQZ599RkRly5a9rtNmSNTgmJubH9FDci0qKkrMiNPmFPz9/Ylo0KBBkq9VtO3ezbq33zZtYrGL/M4d/u03njWLd+/mXMxSk0pERETdunVFZuH06dNvff6VK1f8/PzEZZzuHp3cN+64fv167969RUKhbNmyf/xxNN+t0Q4e5NKlmYi7d5ds2mHxl57Ozs4cFKR5OGcON21qmBs8165dE3OWKlWqpFs0+mZhYWHe3t7aLRSiVVFoaGgud0BfvnzZ09NTvN6srKxmzIjKX17m+nVNtr11a9zayT/RXMXc3LwwZBK7dWOinPs9CigyMnLAgAHaLaqJiYli9t2aNWukXAaY+b+SPd3bGwV39+5dsfXeyclJtw73zJkz4v70u+++++TJEwlX1IqPj1+7dq2np6eVlZVCoZC8zWDxoJtwT0/nunX500+5YUN2dmZ9jlfTSExMfPlqR5TEnTp1Su/L58vixYuJaFThyHeOHj2aiBYtWiR3IIVFdHS0QqEwMzMryDCbgvj9999FEYy7u7uPj09QUFB4eLhUHWbu3+dq1ZiIPTxYrg5yJdaGDRvEJi3tB9bly5f79u2bowY0TzIyMubPn6/bH1JU8nXo0KGA0UogOppLlWIilm/3ZD4U8YS72EDx4AF//TV36sQ9e3JAwAs9Gi9d4qlTuWFDTQ8XMTW5f/+sTZvy9JaXnJw8ZcoUsTHf0tJy/vzNOTLmb5aezrVrs0LBnp45y/GfPeOfflopigGtra39/f0Lw8ATeKuNGzeKuvUqVarkfutDVlbWoUORY8dqJi2LX46O7OPDBw9mf0oFBXHfvtkD7SZO5AsXGK+LIueff/4hotq1a2uPDBs2rFSpUrpTufLNz89PpKV0+36uW7dOoVAolUpJlnil9957j4j++q8Xyu3bt0VXmZQ8vSeCwcXFxYmao1KlSr2uQiE6OjogIEA7mlIUbPr4+GgbQebVqVOn2rdvX6ZM2dKlE6pW5cDAPN9l2LWLLSyYiAcMkLL/colw+TJ36sQ1a7KzM/fokbe9gAXz9OnTTp06iR2Ey5cvf8Mzo6Oj/f39dW/tuLm5BQYG5m/yxKVLlzw9PZs27Srmnfj6cnx8Hv76tWuaj+Y2bZBtzz+1Wi2aq3z//fdyx8LMfPUqm5iwnR3HxelriW+++YaIWrZsqe8OuSXTkydPRK7q7Nmzkpzw6tWrouVFkyZNdHdrHTx4UGzQ6dixY/7egvJENJTAoNRXSk19IbEeE8OnT3OTJkzENja8e7deFlWpVIcPHxa3fjt37qz7R5mZmWZmZkqlstBuYdmzZw8RtW/fXu5AmJnnzZtHRD4+PnIHUlhkZWWJGilPT8/4PF2XFJharf75559NTU3pJfb29h988MHkyZO3bt1akN08bdowEb/3Xs5yUjAMMQhkwoQJejr/5cuXTUxMjIyMdLeCyenHH5mIP/1U7jjyoIgn3Jk5MZFr1uSpU/nOHT53jjt35pEj+dEj/vZbdnHJTmra2fHQoRwSUpACuejoaDG8q3LlSAeHV/SEeYODBzlHpZdazUFBXLEiOzldNTU19fLykqrbMuhVSkqKj4+P+Kzq2bNn/mb3qVR85Ah/8YXmnrD4VaECjxrF//zDU6awtTXPnKl5cuvWfOCAlD8CGEZWVpYoldJ+RD148ECSxPTq1asVCoWRkZFu5nT//v3i1l3Bh6W8wfz584moT58+2iNim+TmzZv1tyhIIjMzU5Qd5ZhsmZCQICaaiEndRGRra+vl5RUSEiLJXte//74rOikTsZsbh4bm9i9u26bZGebtbcj9ACCBrKwsX19f8XLy9vbO0N5AZmbm1NRUMX1XtIIRt3Z8fX3zPftU18mTaV26aF5v9vbs75+rbZDabHvbtrl6PrzOihUrCltzlb/+4r17s5tRJCdLWSQbEREhMnF6bY9bwvn6+oqh3NWrV/f29g4JCcnxlpJ7YWFhot1fmzZtdLc479ixQ5RV9ezZ0zCVT6IxUY4p0/AGqamadgJGRhL3ib5y5cqkSZMcHR213X7at2+v+xq7fPmy2IMu5aqSun37NhE5OjrKHQjzf7tSCu2AWVksX75czDVxcnLK/ea/Anr8+LGHh4f2Suzu3bshISFTpkzp1q2b+H6qq1KlSuPGnfjhB965k98wQHDzZtadFDB/Pp8+ze3bs352BMHbhYeHGxsbGxsba3vYSuv9998nonHjxunj5PmRksIbN7JazY8e8dGjrNO+stAq+gn3P/7gTp2yHz5+zFZWfPUqGxtrvmx5eXFICOd7N/tLjh2LEffYxabjPDXj1jpyhJs21Zzkvff47Nn8TJYDwwsPD2/QoIFo2SFVWjM8nP38uE4dzevB1pYnT+aJE9nRUdOUAgn3osvb21vyQr+9e/eKUgXd3Zrh4eFinvg333wj4Vovi4qKUiqVlpaW2vqv2bNnE9GAAQP0ui5IJSAgQIwwGTZs2JYtW8RdZHG1re20JvmmV5WKg4O5enXNu1ynTm//6FyzRvMxPm6cYVqhgPRWrVplbm5ORF26dImLi+P/pgLY29trX3Kenp5S3drRdfQod+igeb2VLcv+/m+qvbp6lStVYiLu0gUlWgWSlJRUuXJlIlpVyCa829vz++9rfn/uHDdqJNmZxSSV4cOHS3ZGeElaWtqIESN0M0T29vZDhw7dtGlTXu/rnD9/3tbW1sPDQ7f6Yc2aNaK1+ujRo1WGuru7ceNGIspRSQ1vplazvz8rlUzEI0YU9Mt9fHx8YGCg7kjbqlWrvvLWb3BwMBF99NFHBVpPn1Qqlbm5uUKhKAx3OsPCwgr5/QlZ3L59u2XLlkRkbGzs6+ub77uGuXT8+HHREtnGxuaVzYpjYmJCQkL8/Pw8PDzEbcgmTZ5qqwArVWIPD/bz45AQ1h3A2bMnW1qydpi0jU3ethKCPowaNYqIOulmRCWydetWkmIKq8QyM3nAAK5dm4cM4WbN2N2dnzzhzExOTS2cvUeLfsL9yy95ypQXjjRuzAcO8MKFvH+/nlpJqVQcFMQVKjARKxTs5ZWHcUzR0dmjU/NaJg8yUqvVAQEBooK4Xr16+thWc+ECT5nCfn7s58fTpvHixdytGzMS7kVZaGgoEbm4uEh1wosXL4otz9999532YHR0tNgf3a9fPwN8VxQtR9avXy8e3rt3T6FQlCpVqjBc5UNubNiwwcLCQlvPbmRk1KlTpxUrVjzT85iI9HQOCGBbW81Hp6cnv66gecsWzTfqqVP1GhHo3ZEjR8TQ3UqVKtWqVUubL2vRokVgYGBeB+rm1eHDms3OontbQACnpfGlSzxvXvbl4Y4dvGwZm5vzBx8Uzgv1okTMt2zRokVha65ib88tW7LohSZhwn3v3r1EZG1tff/+fWnOCK+nUqnCwsL8/Pzq1aunfScxNzfv1KlTQEBA7lsiXLp0KVOnQ9kvv/wibkL7+vrqJ/BXi42NFS8efUxNLN6Cg9nSkonY3Z1fP8H9tbKyskJDQz09PbV9NmxsbLy8vF43NeTatWutW7fOceFdCIlRPRcuXJA3jBs3btSrV8/U1FR/zS2LrszMTD8/P7G3r0WLFpLs6nuZSFmIm4jvvvtuLtt537x5Mzg47csvuW1btrbO3n8vrthr1eIBA3jFCu7ZkwcOZO2NQiTcC4OnT5+KKXE7duyQ8LTp6eli2MnChQslPK0Elizh9u01d1zVavb25s8+423b2NeXfX0L4Z5oBTNTkTZhAtnZkZ9f9pFmzWjmTOrUSd8rJyfTnDnk70/p6VSqFH31FX37LZmZvfb5qam0cCHNmEFJSWRhQT4+9N13ZG2t7zBBAk+ePBk+fPiOHTuIyMvLa+nSpdqaUH2YOpWMjenbb6l5c5o8mX7+maZNo7Zt9bcg6ItKpapcufKjR4/Onz//zjvvFPBsarW6YcOGV65c8fLyCgoKEiU5iYmJbdq0uXDhQps2bf755x+zN7wHSWTBggUTJkzo3bu3qM8ioubNm586dWrjxo29e/fW9+ogiVOnTl25cmX58uW9evXq16+fmPhnGHFxNHs2LVhAaWlkYkLDh1Pz5vTpp3TsGDVvTkQ0diw5O9PWrfTRR/TllwaLC/QlJiamZ8+emZmZ58+fr1Spkqen5yeffFLw98Pc276dpkyh8+eJiGrUoBEjaMoUmjePJkwgIho2jNq1o7p16Z13yNzcYEEVQ7dv365fv356evqJEydEG/fCo2xZCgmhAQPo4kW6c4eGDqWlS+nkybf8LROT3zIzk1/3p2q1euHChZGRkf7+/toGSmAYt2/f3r59+44dOw4cOJCVlUVESqXS1dXVw8Oje/fubm5uuTzPrFmzJk2apFAoZs2a9fXXX+sz5Fdwdna+ffv2uXPnGjdubOCli7rz5+mjj+jePXJyopAQql8/V3/r8uXLq1atWrFixaNHj4hIqVR26NDBy8urd+/eot2HroSEhJCQkFWrVu3du5eZR4wY4evrq3vbuLD56KOPQkJC5L0U37Fjh5eXV0JCQp06dTZv3izuAUAO+/fvHzJkSHR0dOnSpX/55ZfBgwdLePJHjx4NGTJkz549CoXi888/nzt3rsi859X9+3T0KB05QmfO0LlzlJJCRNS3L2Vm0rBhNHs2jR1LAwaQrS3dvUu2thL+BJAf8+fP/+KLLypVqvTFF19oC6oKaO/evTt27Khbt+6FCxfy9yrSl06d6LPPqFcvzcMbN6hVK3r0SNaY3kjujH+B/fIL9+qV/TA5mW1tOSrKYOvfvMmenpobgDVrcnAw//MPDx2aPeJy3jw+epRDQrhGDc3TPDy4AKODwdD27dsntkjb2tpqZ0XqlahwZ+aTJ7lWLW7eHBXuRZjomt21a9fTp0+nF7i31eXLl4cNG6Y9T0ZGhhhOWK9evTj9jYR70f3795VKpbm5ubYges6cOUTUr18/wwQAxcC9e+ztzUZGrFDw7NlcowY3baopOv7sM160iPW81xYMKjk5+cmTJzt27MiUafStWs0hIfzOO1yxIi9bxj16sKOj5lJx6FBesUKWoIqbx48fe3t7F87mKvb2nJDAEyfyuHGaCvfJk1+o4Hvlr3LlKrz5O1S9evWaNGlimJbf8EqPHz8OCgry9PS0srLS/n+pUaOGj49PaGjoG95w1Gr1F198QURGRka//fabIWPWEom2X375RZbVi7qYGG7WjIm4dGnes+dNX/xjYmICAgJ072rUq1fP39//lbPTMjIyQkJC+vTpo61fKV269IgRI06dOqW3H0UaYirATO0EMMNSq9X+/v5is0i/fv2w5/XNEhIS+vfvL15gEk5S/eefQ6L1VsWKFf/9919JzsnMmZl87hz/9hv//Tf37MkhIXzuHDs6ckICKtwLi4yMjGbNmjVs2FCaBPF/GjduXBgne7u4sO7UnNRUJirMHSGLfoX7o0fUoAEtWUK9e1N6Ok2YQHFx9NdfBo5izx6aOJGuXiUi8vWlgAD69ltN2X3fvlSzJs2cSUTk6koBAdSmjYGjg3zKysqaPn36tGnT1Gp1u3btVq9e7eDgYIB1RYX75MlERKNH07JltH8/KtyLqmPHji1YsED0fzQ2NnZxcXH7T7NmzQpSkM7MQ4cOXbVqVeXKlY8dO1atWjXpon6LNm3aHD58eO3atQMGDCCiyMjIHz788PNKlVy3bSN9bv6AYubCBfrnH3Jyog0bKCuL2ralzz+nsWOpbl0aN07u4KDYUavp5k06cYIOH6b69enoUdq4UVPhPmyY3MEVF8ysbYhceJQtSxERpFRSgwY0fTrNnUv+/rRnz1v+lrn5lLS0xDc8oUGDBiNGjCiEP28JlJqa+u+//+7YsSMkJER0ayEie3v7bt26de/e/YMPPrDW2VOsUqm8vb2XL19uamq6Zs2aPn36yBLzkiVLPvvss0GDBq1evVqWAIq69HT69FO6evXx+fNVvvtu0tSpU19+Tmpqavny5Z8/f05EFSpUGDBgwNChQ1+5pUDUv69cufLhw4dEpFQqW7ZsOWTIkEGDBr1c/14IBQYGjh49+pNPPvnjjz8MvHRcXNzAgQP37NljZGQ0Y8aMb775Bu+KufHnn3+OHTvW2Lici8vVefPMWrXK/6mysmj6dAoKinj6tEmzZk1Xr16tp62rvXrR8OHUvTtNmECmprRsGSrcCwtmDgoKOi+2c0pk+vTpujezC4s2bWjSJOrWTfMwOpoaNKCEBDlDejN58/3SOHuWP/iAa9bkOnX4009Zzy1BXycjgwMCeMgQXrKEvby4alW+cYOZ2dOT163j3r152bJC2FMIXuvu3buiV7WxsbGfn58heywGBvLvv2t+//Qpu7vnczYvFBLnz58fPHhw3bp1RemHlrm5efPmzceOHbtixYqLFy/m9TX2zTffEJG1tfW5c+f0E/hrLVy4kIh69uyZfahFCybiDRsMHAkUAxs3cr9+fPcuV6zIMTGaCncAPVm5kkeM4MxMbtiQd+5EhXuJICrcmXn9eq5aVcqhqVDYaFu967az0LZ6v3//flpaWq9evYioVKlS8tbuicxIjRo1ZIyhqFOr+aeffhbp3eHDh79yu8knn3zi6em5ffv2V+54uH//fkBAQJMmTbSvlrp16/r5+d25c0fv0Utq3759RNSqVSsDr3vu3DknJyciKlu2bGhoqIFXL+quXbvWt+9dIjY25mnT8jl88M4dzZcwY2NevDhcr9O8RIU7Mz97xtWrs6kpKtzB4L7+mocNy344d+4L/U4Kn6Jf4V74LF1Kly9T48a0fj2FhlLfvtS7N/XrJ3dYkBcbN2709vaOj4+vWrXqmjVrWhXkpnPeHTxIdnbUqJHm4e7d5OJCzs6GDAH04vnz5+fPnz/zn2vXrqnVau2fmpiY1KpVq1WrVu7u7m5ubnXq1BFzdV5JVLKYmJjs2LGjS5cuBgk/24P79yMHDXKLiTE5c0YzieLnn+nLL6lvX8NvMIKibtMm2rCB1q+nn36iK1fIxgYV7qBHQUF0+DD9/jsdPkyffkpNmlCXLqhwL+ZEhbuNDRFR1650/z5duCB3TKB/ly9fDgkJ2bp16+nTp8UXXiMjo7Jlyz58+LBs2bK7du1q1qyZjOGp1eoyZco8e/YsOjraMDtoi6tNmzYNHTo0OTn5vffe27x5s5jU/WZpaWmhoaGrVq3aunVrZmYmEdnZ2Xl6enp5eRn4S59UoqOjq1SpUqFCBe0ODwNYs2aNt7d3SkpKkyZNNm3aVL16dYMtXWyI4vRp00itphYtaM0acnLKw1/fupVGjKC4OKpShdauJX2/eLUV7kS0bh0NHEjx8ahwB8OKi6PWrcnVldq1o8uXKTiY9u8nFxe5w3o9uTP+xdCSJTxuHKtU3LIlr1vHnp68fr3cMUGupaSk+Pj4iH8dvXr1MlhfbF2jRnFAQPbDHj3YIK3jwdASExMPHz4cEBDg5eVVr169HBswrays3N3dfXx8goKCwsNfKFgICQkxMjJSKBQrV66ULfo2bZiIV6/WPIyKYoWCLS0ZfRshj0SFOzOnp3OdOty0KSrcQY9EhbswdCiXKoUK9+Jv69bssRBRUVwIW5KCXj169Ei0ei9VqlT79u3r1at38eJFuYNiZn7//Q+cnbuHhFySO5Ai78KFC6KzoqOj45k37gsOCwvz8fGxt7cXF9umpqYeHh7BwcEFH7MkL7VabWtrW6pUqV69ehmg0jwjgydPvioKg0aOHIlRFgW0dy87OGhmEmi/Wr1ZWhr7+Ggmjnz0ET99qucQmZk5NpaTk7MfRkSgfwPIITWVt2xhf39et85AL/0CkGaILbxMqaRffqFevahBA7lDgVyLjY1t27btjRs3LC0tFyxYMHLkSLkjguLM2tq6VatW2lKauLi4M2fOhIWFhYWFnTlzJjIy8ujRo0ePHhV/amNj06RJk6ZNm9rY2MycOVOlUs2YMWPo0KGyRe/pSYcO0YYNNGgQEZGjI7VsSceO0c6d1LevbFFBUWZqSosWUefOJOPrGkqUefNoxw65gwD9++ij7N87OpKjo3yhgBzKlSs3ZMiQIUOGPH/+/MmTJ1WrVs3R4k8u7u479+xR7t+vqRiFfGvUqFFYWFivXr0OHz7ctm3bVatWffzxx7pPiIqKWrt27e+//37r1i1xpF69ekOGDPnkk0/KlSsnQ8RSUygUly5dqlat2ubNmzdv3tyoUaNPP/108ODBtnooP37wgDw96ejROh07zurXr/Snn34q+RIlTYcOFB5OY8bQ+vU0eDBt20bLlr2pcvz6derfn86fJzMzmjWLfHzIMG3zc+weyVMxPoBkzM3pxXf4wgwtZaQnWsosWkRENH48/forrV6NljJFAzN/9NF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16+zunvlptWq99o2yyEDA/QVHjx61sbERz3vSw39aWlrv3r2JqHLlyrdu3ZJrrDlz5hDRRx99JF5qNBrxqJn7CrlQ2C1ZskTc+hw8ePBojo4fzzh6lHP4uHo1M+DOzAsW8MiRCLgXIAcOHBBb1Pv27fvKpDm1Wi36TFauXFkKQVpbW4uC11KAPmenTp16OabPzNu3b7e0tCSigQMHynjXMnr0aCJasmSJeHnjxg0iKlOmDMKmRUBCQkL//v2JyNzcfO3atdJxkQEqgkqenp5qUb4qH0JDQ0V71WrVqnl4eOTzbKBX8fHxf/75Z7t27YYOHbpw4cJ9+/bl8tKUG48fPxZbc3r37i39XqWkcPv2TMQNG7K8DS8+/vhjIpoxY4Z4qVarxQYg3RpcYESRkZHTpk177733Jk+eLFXb159r1645OTkRkb29ffBroh0///yzeGt2dnb29/eX9qfqioiI8PX1rV69uvhMpVLp6uoaGBiYnp6u5+8AjO/BA65Th3/+OS9fm5HBN29yUBD7+LCbW+aent272cSE1Wpu1Ih37kTAvVj4+mvu04ednDIXmLt04Q0b+MMPuX59ViiyguxmZuziwjNn8q5dnPu0B93N+g+KTzUHuYmAOzPv25fZm0EuJ06wvT23bSvbCQuppKSktm3bElHjxo311+2sSBIBd62WO3TggIDMgLthnstPn+aOHTMvUM2a8cGDb/6SvXu5UaPML+nalYvwDTgC7lnOnDlTqlQpIho9erS0dSU9Pb1fv35EVK5cuctie4ZMTp06RURVqlSRjowaNYqIvhcFQaCoi42NFduQt27dKssJpYB7ejo3bMhmZgi4FwhBQUEi3j1ixIjcPHWHh4f7+PiIdhGCKPXu5+cXERHxuq/av3+/iOm7ubnpxvTXr18v2lFMmDBB3h15/v7+YqOfdERs/ZO3Hj0YXlRUlKhNXLp06QM6iTepqakjR44Uv5DSQossHjx4QEQ2NjbYNFpgpaen9+zZU0rglTg4OLi5ufn4+AQFBeW5gHVycrJ4uHJ2dpa24Gg0mo8+WmZvr6laVf73soMHDxJRjRo1pAVCT09PIvr22zUyjwRvLyQkRCSgiOouRNSyZcsVK1bIuMCja+fOnaJKbOPGjXPIqjl9+vTYsWOlFix2dnYffvjhyZMnX/5MjUYTHBzs7u5uZmb2fJNiaU9PTwOsHIARffhh5n5TWdy7x8nJbGLCzHzoENeqxbt2IeBe9H39Nfv48KhRPG8eM3OXLrxlS2ao3cqKXVzY25uDg/PedPfp06fiBq9x48boOZE3UsCdmUeMkDPgnpTE9vZMxMeOyXbOQkfcbRKRo6MjloXelgi4M3N4OFeqxBs3co8e/M037OTEPj4sayAzS0wMe3llbruxt2c/P859fy61mv39uWxZJmITE/b05EeP9DJJ40LAPdP58+dF9HPw4MFSdlVGRsawYcNE2qbs3bS0Wq2IT0ln3rBhg6j5IO9AUDBNmjSJiLp27SrXCaWAOzMfOsQKBQLuxvf777+LEtgTJ05822Di7du3/fz8XF1dRcRccHJy8vb2DgkJ0U0k37ZtmyjxkS2mv2zZMhGw8Pb2lu1beu7ChQv0YhWsQYMGEdGvur0OobA5e/asqEpUq1atK1euSMdjYmI6duwowuL6aO4tSnzcuHFD9jND/mm12rFjxxJR2bJlt2/fvmbNmokTJ7Zq1UpcdiRKpdLJycnDw2Px4sVHjhxJSkrKzckzMjIGDhwowt+6D1deXl5E1LjxoPBw+ZNzNBpNpUqViOjUqVPiyIEDEVWqqFFUxuj8/f1FnLpTp04hISHe3t5lypQRv2CyV0jXLdo+ZMiQVyatZ5OcnJytekz9+vV9fX0fveoZ8dGjRz/++GODBg2kvxEXFxfk6xVJV66wiQmrVCxvT0oRcGfm0aO5Z08E3Is+EXB/8IArVOCbNzNLyqxcyUePcp73yXz77bc//PCD9PLRo0diQ0/r1q3j4+PlmXdxcukSb92a2e8xKUnmZ+2ZM5mIhw6V85yFiFarFfuny5Yte/XqVWNPp/CRAu7MPG0aN2/OPXpwhw5Zm2OaNOG5c1muoGZaWtqKFYdKlMjcdjN9OuctLyImhj/6KCtkv2bN9vxvoS5QEHBnZr569WqFChWI6J133pHCVRqNRmTz2dnZSXWK5TVmzBgiWvi8pU5sbKyJiUmJEiWePUvRx3BQcFy8eNHU1FSlUuluYE9PT1/yGj/9lL5kCb/88cpeOs+H4A8/5KJ1vSpkli5d+nK8W6vVTps2bd++fbk/z5MnT0Spd5HDLlSrVk2Uev/1119FTH/SpEm6MX1fX18iUigU0hVGXlqttnTp0kQk5d1/9913ROTp6amP4cAAdu3aZWtrK6JCupVAr1+/Lsp9VKpUKf99fV+pT58+RLRlyxZ9nBzy6auvviIiKyurYy+mXanV6vDw8ICAAC8vLxcXl2zxd5VKJeLvfn5+ISEhr4u/i+ou9vb2ugs84mJiZma2V6pfK7dPPvmkXr3hvr6ZSccZGVyuHBMxspCNRa1Wi1UWerFilaiQ7ubmplKpxH+tUqWKt7d3PssQJyQkvPvuu+Jd0sfH522D+JcvX/b29haZ+OJ31c3NLTAw8JVPiaJ2VqlSpcqVKzdx4sT8TBsKpnfeYSKeMEHm00oB95gYtrdHwL3oEwF3Zl6yhAcOfKGGe96cPn1aqVQqFIqVK1dKB+/du+fo6Chu9nKz0Ai6Dh1iIm7eXC8nj4piMzNWqVi+GsaFydSpU4nI1tZWarEDb0U34B4fz5UqcY8enJLCQUHs6ZmZSC4+HB3Zy4tDQvJecCY4ONjJyUmpNGnQINHV9e0Wm3/5hf38si8iXr7MvXtzs2b/EVG9evV27dqVx5kVPIUv4B4TE/PFF1/4+vp+9913/v7+q1atCgwM3LJlS3Bw8N69e0NDQ8PCwm7evHnz5s3Y2NjY2Ng3nvDGjRsit6579+4pKZmRbq1W++GHHxKRtbV1SEiInr6XTZs2EVEXnRuokSNDrKyS/vpLTwNCQSF2S30stW1mZuaEhAR6jdc1TX2enJedVsv16zMRL15siG8HXibFu3XzStRqtYeHh1i6z0Pz0uTk5O3bt3/wwQfSQ75I+iOi2bNnS5+m1WrFLYtKpVq1apU838+riOYWGzduFC+PHj1KRA0aNNDfiMXcs2fPQkJCBgwYMHXq1KVLl+7cufPy5cty1eX38/MT60Njx47Vbdi7d+9eUW+hadOmkZGRsoz1spkzZxLRrFmz9HR+yLPVq1eLi8kbq59li7+bm5vrvouZmJjoxt9F5atvvvmGiCwtLQ/r9FTatGmTCBD8/vvv+vu+QkIyiLhGjayHjQkTmIi//FJ/YxrT06c8dmzWyzt3eOrUFz4hIIAnT876f+Pzz/nmTcNN79GjR6Khn4WFxeu2SUVGRvr6+krNlqUK6XloMH7jxo2GDRsSUYkSJfJT1i8jI0NUjxHL3mJV0tvb+5WbdeLi4kxMTJRK5StbuUDhdfQoKxRsY8P378t8Zp2ifbxxI+vc6EHRJAXcMzK4WTO2t89vwJ2Zf/nlF4VCoVAofvnlF+ng3bt3q1WrJqIfaEr5Vr77jon4eQ8+eejuNHjvPSbi6dPlPL9ckpKSMnJfLuQtiQdnMzOzPXv26GmIou3aNb5y5YWb2H37ePXqrJdpabx7N3/wAZcp80Lk/dtvbx8/fjz3aQcXL17s0aOHuOepX79+cPCJt5rn06dcujQTcf36/M8/2f/rtm3BYjmQiAYOHHjTkHeielPIAu5Hjx7t27fv64KSOShZsmSpUqVq1Kjh6OjYrFkzZ2fnrl27urq6DhgwQHTK6tKli+4d8PTp04nIyspq//79+vt24uLinJ1du3b1k/ZffPMNE/H48fobE4zv77//JqJSpUpl6yaflpb28WtMm5b+8cf88sfra3rztm1MxKVK8etb1oNeaLXaKVOmiBCV7t1tamqqKLpibW2dz5sJjUZz9OhRb29vBwcHCwuLHi/2IF+0aBERmZub//333/kZ5Y2+/vprIvLy8hIvU1NT27Tp16XLN9gxrydjxozRXWuRlCpVytnZ2d3d3dvb29/fPzg4+ObNm7kvYaRWq0WFK5HpqfuffvnlF1HRaNCgQbmsEJJLs2fPbtiw4aFDh8TLjRs3ElH//v1lHALyb9euXSKSuHz58rf92pSUlGPHji1btmzMmDENGzaU0pMFMzOzOnXqKBQKpVL5l06WwcGDB8Uiou5SpT5otVylChPxiedPCv/9x0Rcp45ehzWa6Gi2s8t6eeYM16v3widMm8YWFiz1SG7WjPWzt/MVwsLCqlatSkSVK1d+ZVV0XaJCuoeHh2iOIi6Anp6eZ8+ezeVwBw4cEA3G69Spc+nSpXxPn5n5/v37vr6+tWrVkhYDXFxc/P39s10269WrR0Qo5p57arU6Ojra2LN4g3btmIhffPOU0z//8MiRvG6dvs4PBYcUcGfmkydZqZQh4M7PnwtUKtUmqfYo87Vr18T+/gEDBhSxAg569e67TMS//SbbCSdPZmtrlhpghYUxEZco8RbtcA1j5syZkyZNsrGxcXFx8fLyCggIyKHrydtat26dWBZaK92FwNtITeWmTdnWlnOTJ6zRcEgIe3lxpUpMxG3afCduwMTW+RyuBrGxsd7e3qLuX8mSJX19ffOQ8cDMwcHs5JQZ8Xd1zV7iJj093c/PT2zrNzU19fLyelbQ/hjeUiELuIuuVh07dvT29p42bZqnp+f777/v7u4+aNAgV1fXrl27Ojs7N2vWzNHRsUaNGqVKlRJ5eTmrUqVKpUqVdKuY7du3j4gsLCz+/fdffX9Hop+vtI3+zBkmYgcHAzUUBsNLS0urXbs2ES1dulTfY/XqxUSM7cuGpFarRfk5c3PzP//8UzqekJDg6uoqQgNHjx6Va7jt27eLS6LuwaSkpN69e//3339yjfI6//33X/XqdUaMmCsdcXFhIi5Cm8AKkIiICDMzM9Gw1NfX98MPP+zevXvNmjV1S/zrsrS0dHJycnNz8/Ly8vPzCwoKunDhwstB8/j4eFHOxcLC4o8//pCOa7VaHx8fcSovLy/Z25mKd3M/Pz/x8vLly0RUrVo1eUeB/AgNDbWxsSGir776SjqY5/LZ6enp4eHh/v7+Hh4eTk5OYjtFuXLldItQXb9+XfSul5bx9Gry5BfyyDQadnBgIj5zxgCDG1puAu6TJ3OVKiwa6Rks4L5u3ToROm/fvr1uaPWNAaC4uDh/f/9mzZpJFz1nZ2d/f/+cqxL7+/uLNaS+ffvK3oVVq9Xu379/5MiR0mLAuhejpAMGDCAi3ZgX5GD//v01atRwcHB47733Cmzhi8BAJuJy5Vh/1bCXLWMiRrm+4uD+fQ4M5Of77Tk8XLbfK1EazszMbMeOHdLBc+fOieKQI0eORNf6XBJL9VL/yfxHbD74gIl40qSsIyI6VKA2qc+aNYuIrKysXg6jvfvuu99///2hQ4fynJcTHBwsYriLFi2SddbFiLihrVnz7dZpNBo+fJg//3y22O8ilC9ffsKECcHBwbq3YRqNJiAgQKQpK5VKDw+PhznUNc6F9HT282M7OyZiU1P28spe//3+/fuenp7iYcHBwcHf319/uyv0rTAF3NPS0kRf0wsXLrzt14ryMqLUTFhYWGho6N69e4ODg3/66ScisrOzS3+xjJAIT8g399eaP5+J+P33M19qtZlrTbnO1IFCZv78+UTk5OSUnuf2N7l26RKbmrJKhaK0BiIi3URkY2MTHBwsHX/y5Enr1q3FG4Zu1f78i42NVSqVlpaWeVthzqfERDYxYRMTlqrjfP55Ua7JYFwiCd3DwyPbcbVaffv27f/++2/VqlUzZ84cNmxYq1atpDaDL6tQoUK7du3ee++9WbNmLVy4sG7duuLgiRNZWwJTUlJEw3ATE5OffvpJH9/O8uXLiWjs8yIXGRkZVlZWCoUiN4XgwABu3bolct9GjBghBdmfPXvWrl27nTt35v/88fHxonDfiBEjpINqtXr8+PH9+/c3zF314cNMxFWqZD0wf/QRE/EXXxhgcEOLjmYLC160KPNj+vRXBNz9/PiLLzI3WRog4K5Wq729vcV1ydPTU/dd7Ny5c3Xq1MnlHlNRIV2Ejej1vVVTUlLEcrhCofD29tZrdOnp06c//fRTtr2zzDxjxgwimjNnjv6GLjLu378vLkEiENOwYcMC2EMvPZ1r12YiXrFCj6Ps3MlE3L27HoeAAuLqVSbiqlX1knj32WefiWwM3Uvr8ePHRfOecePGydWPugi7f5+J2M6OpTeQceO4QQPOT45TeDgrFGxlxTExmUf+/ptFybsCEmBcsWIFEalUqr/++uvp06fBwcE+Pj5ubm4iLifR7dwTGhqayzfZkydPityOL4rkvZdB7NrFCgWbmvLx43k/SXh4uI+Pj9iHJ5QqVcrDwyMoKGjPnj2NGzcWB7t06ZL7DYVvFB3NH3zASiUTcd++s1etWpXt1yY0NNTFxUVKqtBfoW+9KkwB9z///JOImjVrJu9pxS+WtLHdwM6dy57SLtY5v/3WKNMprBYuXPjbb78V/MX56OhosUHmn5drVumHlxcToc+SIcTFxbVv356ISpcufVznHS8qKkrUiq1Ro8Yr67rmU/369YnoeH7eY/OheXMmYunWXdwjdu1qlLkUZdHR0ZaWlgqFIvfrzSkpKTdv3gwODvb39/f29nZ3d3d2dra2ts4Wf7exsalXr97t27elL7x//37Lli3FnZb+9kkcPnyYiJrrtJ1q1aoVER04cEBPI0LuxcTEiFujLl26SGHQ1NTUTp06idswWd5tb926pVAobG1tdYOSWq3WYMuHWi1XrcpEWY8o+/ZlVrQseqKj2dKSly3L/Jg589UB96QkrlGDjx3LDLj/9x/r6acRExPTrVs3IjI3N8/Wa2Tjxo0ija5fv365P2FKSkpgYKCrq6tCoRAXtzp16vj4+Ii23pGRkeKyZmNjo7v5zMB+/fVXIho+fLixJlBYqNXqDh06iEvQxYsXxU2Ura1tQdscsGQJE3Hdutmbv8nr0iUm4lq19DgEFBA//MBEPHKkXk6u1WonTJhARNbW1rp9Uw4fPixuDidPnqyXgYuQv/7KvvpVty4T5Xd9umdPJmJf38yXGg3XrMlEXBC6+m3dulWlUikUitW65cCfu3nz5us690jFZwIDA19XGez69esiaXrkyJFY78mb6GguX56J+Lvv5DnhuXPnvvrqqwYNGkg/SnFLVqNGDT3dPoWF8aBB18Xuw+bNm2eLymq12t9//71SpUpEVKVKFaOkGOZTYQq4i52YP/74o7ynFd0FZ86cKe9pc088750+nfnyzz+ZiDt0MNZ0Ch8RcCSili1bylisQx/Gjh1LRO+8847BRoyNzeyMURDes4uw6Ojopk2bElHVqlWvXLkiHb98+bIoTduwYcOoqCh9DP3+++/r48KYS598wkQ8b17my8ePWaFga2tGNUh5iTzQQYMG5fM8Go0mIiLiwIEDv/7666xZsxwcHIhIt5IMM3fv3p2IataseVnaMasH8fHxSqXS3Nxc2uszfvx4IlpcoPbQFkvJyckinaRRo0ZSzQ2tVjty5Egiqlix4t27d+UaS8RA/zLe+9OnnzIRT5uW+VKqKiPdkhUZuSkpIyo8bd3KrVtz06YcFMQKBZcsyZ6eMpfZOXv2rOh9WrFixWPHjknHRSUrETF/77338tZc9Nq1azNnzqxYsaK4MzQ1Ne3YsaNIxKtVq1Z4tlqhhnXs2DF9ZA4VPeLRrHLlyo8ePWLmhIQEselKbIYwwA7R3IiPj+/R4y+FQit7u5wTJ3jUKJbaWCQns0LBZmYFJd0V9KdrVybiDRv0dX6tVjtu3DgiKlmyZFhYmHT833//FdFSH/31IigSvL1f2MgbF8dKJVtY5Hdl+p9/mIgrVcpaulu8mIl46NCL+Tpvvu3fv1+01fk2F6mg6enpoaGhfn5+onKgtPgtODg4uLm5+fj4BAcHi+IzUVFR1atXJ6K+ffuii0DeaDTs6spE3KMHy553evny5Xnz5tnZ2SmVytGjR6dIta70IygoSPw+EJGbm1u2DgGJiYkDBgwQM9HrNPSh0ATcY2Njzc3NVSrVgwcPxJGoqChZbrmCg4OJqEmTJvk/Vd54er4QsYqPZzMzVqkyy2jCG4klOPFwpVAo3N3d79y5Y+xJvUJYWJhSqTQzMzPwrlhR/NHRkfV8nSy+7ty5I+ry16tXL0Knj21oaKjozNa6desnevt7/uWXX4jo3Xff1dP5c7ZhAxNxnz5ZR8T2aoN12ysOnj59amdnR0RSO8HY2NgEqY5PPoj9xdnqG1y/fr1///6P9d9tuWbNmqRTI27ZsmVENG7cOH2PCznQaDSDBw8Woa7IyEjp+LRp04ioRIkSMu4kZeaFCxcaN+H36FEmYt3456RJTMTGy8HQl1cG3NPSeMeOzLaxUsCdmd3c2MSE16zhpk0zu1oRcatWvHKlDG3cNm7cKLIpmzdvrrt48+zZs/79+xORiYmJr5Tpl1eit6q7u7upqalCobCxsenWrZvRK1bFxcWJZLGCvyPTiLZu3apQKExNTbNtHvf39xflZdq3b6+nDIa38uWXXxLR0KGT3vypb2n7dibinj2zjlSowESsc4MJRdCzZ5kRAKm0iD5kZGQMGTKEiMqWLavbNfrvv/8WGab5v/wWYZ07MxFv3575cs8eJuJ27WQ4c+PGTMRSAkxCArdr50ZEocZ7oDp//rzohvjRRx9l+0+5qfv34MGDrVu3fvHFF127dhX7+yWmpqbNmzcXST/t2rXLc/F3+PbbzCYi9+/ra4i+ffsS0Xbpl16fkpOTfX19RZErS0tLb29v3a48a9euFZshDDATeRWagLuoHtVT5+6jV69eZcqUyX8pn7S0NPFzlTFp662IIgwuLllHxPr2xo1GmU7hIwLup06d8vHxEY2qrKysfHx88pYbpSdarVZsj/X29jbw0BkZme/iqFOkD5cuXapcuTIROTs7i1Qs4cCBA+L2om/fvnq9kxDdJitWrKi/IXJw9y4TccmSWevqo0czES9ZYpTpFE1z5szJ9vY3ZcoUe3v7/O/sW7dunSyJ83kzaNAg0mkqGBISIv6OjDKZgi8iLeJ66nV9jzJ58mQisrOz0+02IW7ATE1NZe8kHxERoVAorK2tjdURUavlvXtf2JFz4EDmEnUR29z86BHXrJn18sIFbteO58/nP/9kT0/euZO//JJXrsz8r7ducfnymc2EwsPZ2ztzqxwRW1iwuzsHB+fl/x/dBPaRI0fq3qRdvXpV7Fa0t7eXt5JVdHS0yJk6cuSIjKfNM1GXvGDmhRQE165dEwvMS151G3Hq1Cnx0yxbtqxupxzDi4qKEutGuqU55BIezkRcp07WkbZtmYiNVP0UDGTzZibijh2zjnz9Na9fz7I/Q6SlpYkgWqVKlXTTSH///XelUqlQKPTUvKew02i4RAkmYqk+yty5TMSffirDyX/+Wfz0s5Jppk+fLjZ7yXD2t3fr1i0REB86dOjLK8SDBg1ycHBwd3f38/MLCQlJTU194wl1i8+IpdMaNWqUK1dOfxlpRd7Jk2xmxgoF6zUYbsiAuxARETFs2DBxr6j7Ro+Au961a9dO98n84cOHJiYmZmZmMXKsAotiNT///HP+T5UHCQlsbs7ly7P06PHdd0zEhXDDhHGIgLtIk4yMjPTw8BB/opUrVw4ICCggFcFEYKt8+fJPs/VgNoi9e5mIGzZMuX//geFHL8JOnTolulN26tTpmU7i3/bt28Xaz/Dhw/W991mr1Yo56JbhNqTKlZmILz7f9ejvz0Q8bJhR5lIEJSYmin0SUnHzmJgYGxsbhUJxOt9lL8LDw4nI0Uglq8VCwmeffSZexsfHKxQK3SIzxZmWtSserxh0c1DbK22nRk59mvHU76Hf1Mipeh1U5JubmZnt3btXOhgUFCTKdwYEBOhjUNFQesuWLfo4eR5oNDxwIC9bVozqYm3Z8uaWj8nJvG4dd+3KCkVm5L12bf7uu/TcJxrnkMC+Y8cOEWNt2rSpPt7Ihg8fTkS//vqr7GfOg86dO5MBG/kULsnJyaI639ChQ1/3OY8fP+7RowcRqVQqHx8fY+0VENX89LS5MDGRFQo2N89KZRgxgolYP9dgKCjGjGEiXrAg8+XTp2xqyiYmHBcn/1jJycniWlS1alXdjMNffvlFoVC8rmB3MXf+fGYvU0nfvrKlSCYnc58+X9valpBySSMjI01NTU1NTSMMvrfl8ePHdevWJaIuXbq8Mpheq1Yt3Yx1S0vL9u3bT506ddOmTblZTk5MTNy8ebPYfFag8iMLkYSEzD3l06frdyDDB9yFw4cPf/7557pHEHDXr9u3b4scKGkT/Y8//khEAwYMkOX8/v7+RDRw4EBZzpYHly69UJjv4kUm4rJl5S/GVCTpBtyFAwcOiFt2Uc3DWP0kJcnJyaKQ95o1a4w1By+v/0xNrQpj3asCa9++fWJzjJubm+7twrp160xNTcUWPMM8Crq5uRHR+vXrDTDWy4YMYSKW1isvXGAirlrVKHMpgn744QciatOmjXTkf//7H71lO8HXUavVFhYWCoXiWf7rRLy9bdu2EVF3neZTjo6ORGTcIssFxDcPvmlyqcnhhMM3Um/MjJr5Z9yf+g64b9q0SaS2/f7779LBEydOiF5J8+fP19O433//fc7xNQM7f56dnfncucyXv/zCS5cadUJ6lpTEgwa9RQWDyEj29eXq1ZmI27e/plQqXV1dAwMDc14nu3LlimjDW6ZMGd0Edq1W6+vrq1QqiWjYsGF62g02e/ZsIpoxY4Z05MyZM5s2bTJKQoZoWugnle8BHaNHjyaiunXr5vyWpPtr069fP8NXCrp8+bKJiYmpqem1a9f0NES5ckzE0nrW//7HRDx7tp5GA+PTaDILB0l3QBs3MhF37qyvERMTE0W/ljp16uj2tPTz8xMLWhux1/5F69eHtm9/9aOPsq5O4u9UrmXiWbNmEdHgwYOlI0OHDs325mUASUlJbdu2JaLGjRvHvWa1R61Wh4eHBwQEeHp6Ojk5iauxpEKFCqJce1BQUA4J7C1atCCirVu36us7KdLee4+J2NlZ5s728fHxZmZmZcqUkY4YK+D+MgTc9UvkwXl4eEhHmjdvTkRytcqNjIwUi2y52RFjGM2b87BhelnTLnpeDrgzs0ajCQgIKF++PBEplUoPD4/XNcg2APEO2rx5cyNW7bx586aIrJ0Q5Vohf0JDQ0V/oVGjRul2elm2bJm47TBk7aBvv/2WiCZNkr+QaG7s38/r1vHz5hqs1XKpUkzEOvWfIY9SU1NFW/adO3eKI8+ePRMVFeUqjyDeTPWxKf6N7ty5IyoDSEcGDhxoxKWjgkOtVduetT2XfE73oF4D7gcPHhQXNN32y9evXxe7Kzw9PfU0Lj+vKmNlZWWsqjLZHDvGJUty27aZGQ/z5hXBeu6SqCh+/33OQ3WTjAzetYs/+mi52BguNvB99tlnr+y0/LoE9oSEBFFXSqVS+fr66i/8vXHjxmw5OmJbmFHqgC9atIheVRIXli9fTkQ2NjYXL+aqT+COHTtKly5NRNWqVZManBiGyHL4+OOP9TdE69ZMxNI78+rV2Posv/Pnz+/evdvYs8h04kT2bBUPDybi777T46BxcXHiJrBx48a6gVGxSGlmZrZv3z49Dl/YfPDBB0S0aNEi8fL27cetWz9wcpJtN9zDhw8tLCxUKtWNGzfEkVOnThFRqVKlDHaDlJ6e3qtXL7H5Veqb+EaxsbH//PPPnDlz+vbtK95eJUqlskGDBmPHjl25cmW2OwTx9Dpq1Cg9fB9F3Jo1TMTW1nzlisxnfvbsGRHZ2tpKRxBwz7/CEXAXu1r27NkjXl66dElcfWSMjzdu3JiIdLdRG9GJEzxpUlbJtrVrOd+V6ouyVwbchbi4OG9vbxFHsLGx8fHxMfyaSkREhJWVlUKhOGTs4oszZswQqbIFpMxOobZhw4aqVasOHDhQdxFl3rx5RKRQKKS7McM4cOAAETXTbfxnVL16MRFv2mTseRR+K1euJKImTZpIf7Pi9rRr165yDTFu3DgiWrZsmVwnzD2tVluqVCkiku7pxTNeti2ExdCttFvWZ6yzHRQB9/fvvN/9eveZUTO3xG25kyZPGeiLFy+KH4RuEPDRo0diy7Cbm5taz9VV2rRpQ0SBgYF6HSWXjh3j9u25f3/292cu6gH3Tz/l995jT8+8X65jY2P9/f2lPYVE5Ozs7O/vLzak5pDAfv36dXHzVrp0aen2Xk/Onj1LRPXq1ZOOtG/fnojkLRafS//88w8RdenSxfBDF2QnTpwQ9+pr167N/VfdvXu3VatWRGRhYbFq1Sr9TU/XwYMHxTOFXvN4hg1jIpa2G/33X/bq3vC2YmJidHuT3L17197e3tLSsoDElL/6iolYypzRaDKzp1+1iCmn6OhoEWZxd3fXPT5u3LiyZcv+/fff+h2+UGnUqBERHT16VLz8448/iKh///4yDiF2+UyZMkU6IpLNDVNVX6vVigmULVv26tWreT5PVFRUUFCQt7e3i4uLqLAqjBs3TvfTrl27RkQlS5ZMkzdJu6i7fp1tbfVVZAwBd30oBAH348ePE5GDg4PUEFnEDeVNuRLnnDZtmoznzLP169nMjKX9Qx98wEYqL1845BBwF65du+bu7i6u9bVr1zbwU73oBT9ixAhDDvpKCQkJFStWJCLdigGQN6KVzaxZs3QPBgcHW1lZGb7uYXJyspmZmUqlMkphkJdt28YrVyLDPb8yMjJExFO6ZKWkpIgWRjKuDS9evJiIxo8fL9cJ30qnTp2ISEox27p1KxH16NHDKJMpOK6nXi9xtkS2gyLgXu1CNQoj6cPurJ3LVRevSK+AJwHhKXkpxRMVFVWtWjXx0CjdZSUlJYkgeMuWLQ2QVyXqJmV72jcWEXC/cYMdHPjhwyIecJfRsWPHxo8fL1qFi6e10aNHd+vWTUpg1/3k3bt3izWeunXrvjIpXl4pKSkqlcrU1FSqeyMSFZcvX67voV8mdvY4ODgYfugC68mTJzVq1CCiyZMnv+3Xpqamenl5id86Dw8PvfaoZ2atViviX19//bVeB5o5k4l47tzMtfbbt5M6ddreqxcqEb2FjRs36j4b/vfff5/qdLfUarUTJ04kIisrK6NnRDGzszMT8a5dmS+PHs1eLlx/IiMjXV1ds5Xe9vHxIaIJEyYYYgaFQWJioigkJRURnTJlChHNmzdPxlHOnz+vUChsbW2llm+BgYEifGGAXfJTp04Vb99hYWFynTMtLe3EiRNLliwZOXLkppfW9hs2bEhoavI2UlO5eXMm4iFD9HJ+BNz1oRAE3CdNmqQbCtdqtaJDvbzvjiJhoX79+jKeM8/Wr+fBg7l69cw6bgi45+yNAXchODhYfCYRubq6vvHzZXH48GGFQmFpaZmbFiIG8OuvvxJRpUqVpHYIkDd//fUXEXXr1i3b8dzvv5OXSPLS7eVtLH/9xWXLZu1xmzKFjde5oHD7/fffiahWrVpSGFQEx1u1aiXjKGJ7hLznzD0RKJGCcbdv3yaicuXKGWUyBUeaNs38tPnN1Ju6B0XAPTI9cuvTrV9Gfdnreq+y58rqBt8pjCqcr+B2w21e5Lzt27ffv3//jQPFx8eL3OTWrVtLgaqMjIx33nmHiGrWrPnw4UO9fIcvEmX9rKysCsIbkwi4M7OPD48Zg4D720lJSQkMDHR1dRW960uWLFmyZMlsCex+fn4qlUpsnjBYG3kRz5WC+9999x0ReXl5GWZ0XVqt1tramoheVxu3uNFoNKKCQevWrfOc57h27VrRbaJZs2Y3b9588xfk1YYNG4ioYsWK+l6JDAjYXa5c47Fjx4qXarXaxMREqVQWnNqnBYHuW4Zare7cubNuM4nPPvss52CoVqsVa292dnahoaF6nOibPHjwwMVleceOd6WGUKJq/yefGG1KLVu2LCBRtgJi//79IgtBOiLW3mR/8uratSsR/fDDD+JlRkaG6G+k75+Fr68vEZmZmel7z5mur776SvYk2qLt7Fm2t+eaNVlPKXYIuOtDQQ+4q9XqcuXKEdGZM2fEEXG9q1atmrxlMdRqtSiMK5XNMqL163nUKF6/ntu3Z60WAfc3yGXAnZnT09P9/f1FcTETExNPT8/Hjx/rb2IajUb0A5kzZ47+RnkrWq1WRGa//PJLuc558iTrNlPYupUfPOBNm17oQPDrr1zEnhEePnxIRNbW1voutpBLIs+iIPymbdzIFSty164srtCenrxihbHnVAhptVqR9yF1Wk5PTxeZyPL2F4qLixOLghm6nbsN5ZdffiGi4cOHi5darVa8ERux5UYBMTlyco/rPR6pHzHz9dTrD9IfvLKGe1R6VNDTIJ/7Pm433KT4e+OTjcXSsoODg9S36uX/S9PT03v06CEWdR49eiQdF0l/ZcqUyc+G4rfVrl07Ino5+8nwpIB7SgrXrs0DByLgnhdXrlwRpRrnzp2re1y8VSmVyrlz5xqyul3v3r2JSCqPsH37diNupmnWrBkRHT9+3CijFzQikbZcuXKR+dsWd/bsWbEnrESJEn/99Zdc02Pm5OTkixcv7ty5c/HixaI11M8vPpX99NNP48aNk/f3+d9//yWizjodM0W22fXr12UcpXA5c+aM7i/Jjh07evfurfsJzZs3P3bsmPTyyJEjb9zRm5GRMWzYMPGWl8vmAfqwevVqsQYpHenTJ56IjVVh/uHDh0ql0tLSUt9bRgoREY+WOjekp6dbWloqFArZl06DgoLoxRpoYhegjMUkX7Zu3TqFQqFQKN6qqFf+iYJv5cqVM8ozSKGwfXtWMw+tlv39OTKSz53L8WvyAQF3fSjoAXdx0XFycpKOvP/++/KGCyWi9IdRStlmIwLuWi137sxr1iDg/ga5D7gLT5488fLyEglWpUuX9vPz09NV3t/fn4iqVKlSoO5Xjh07plAoLCwsbt26JcsJv/ySlUqWNpy0a8eHD3PNmpn7MwQrK359l/LCqmbNmkR0+vRpY0+E+fmWw549exp7IrxxI7/3HnfrxuKeDQH3vBFbKKpUqSJl/InYtJOTk+y7SkUc/4rsnXdyITQ0NNtbfMeOHbG9lJlTNClTI6c2uNigVnit9lfbn0o69VvMb98++Dbnr7qRemNT7Kb5R+d36dJFtKnUVa1atUGDBn377bf//vtvTEzMmDFjiKhs2bK6ERxRRt/S0lKqUmoYopPku+++a8hBX0kKuDPzrl2sUCDgnkcLFiygF2vRMvOZM2fKly8vbzw0Nz799FMimj9/vnh5/fp1cYE18DSE4cOHE9Fvv/1mlNELlODgYJVKpVQqZcmpfPbs2bvvvktECoXC29v7be/t09PTo6KiQkNDAwMDfX19PT09XV1dHR0dRRMCoUqVKqampgcOHJC+SjRqIqLp06fn/1uQiF/RatWqSUe6dOlCRP/++6+MoxQun3zyyXc6LUSfPHlSsmRJ3Z/y5MmTFyxY8LanTU9PF11wy5cvb5QbIX7eMX7F89vle/fuKRSK2rVdU1KM03NL7Ifu06ePUUYvmMTPSFrCEe1M9VEaQaPRLFq0SDcNIi4uztzc3MLColu3brNnz961a9cTWR+qd+7caWpqSjr9YA2pTp06RHTw4EHDD10odOnC9vYsEkQ1GiY9x24RcNeHgh5wF0Fw6e0zJSVFpL/po+ajeHfp27ev7Gd+WyLgzswXL3KVKjx0KALuOXnbgLtw6dKlnj17ihvo+vXryx7fiY+Pr1ChQgFJ2ctm5MiRMoY2vvySBwzgBg1YBAaLT8B91KhRRLR06VJjT4SZOSoqSiR2GT1HQATcw8O5UiWOjUXAPY/ETlXptysjI0Pckq5fv172sfr3709EGzdulP3Mb5SammpqaqpSqaRVyU8++UT3TR/yTKvVXr16df369VOnTu3YsaOtrW22+LtSqbS2ttat1ClSnFQqleH7pN2/f1+pVBq3qkxqKq9YwefO8fvvZx2cMIELxjW+8Nm2bdsrl4GlAriGJBpQjxkzRrzMyMiwsLBQKBRG+X0Ty1ozi/1KTkREhNhy+s0338h1Tq1W6+fnJ4JHnTt3fmWVP61We+/evZCQkLVr186dO3fs2LGdO3euVq2aSMR5mZmZWe3atXv06OHp6Sna7ZYsWVI32eLff/8VHV9lLOyenp6uUqlUKpVUI2Xs2LFE5C+6ORdLgYGB2RpUNmzYUPctLDw8PG+1p5OTk8V6RpUqVQxfAjQtLU28QUtDi4Std955x8AzkYiFK6N0uSiwKlWqRETXrl0TL5ctW6b7nqI/6enpHh4eRCQan0gcHBzc3d39/PxCQkJSUlLyfP4TJ07Y2NgQ0RdffCHjtHPv888/pzw18CgmunThgQNZ/KIV84D7xo1Jjo6pkyYZv/jk2zJ55b1FAREfH799+3alUimSQYgoKCjo6dOnLVu2rFevnuzD9enTR6lU7tu3Lzk5WWQrGJ2TE40YQYsWUbduxp5KkSOC7Fu2bPnss88uX77cq1evHj16VKlSRa7znzp1Kjo6ukOHDlK/1oJj/vz5f//995YtW/r16ye2x75OyZLfPX1aKodPEP+HtW5N1tb0ww80c2bWf7p+nbTazH8z53vSBU/btm3Xrl177Nixjz/+2NhzoYoVK1arVu3u3buXLl1q1KiRsadDDRrQiBE0a5ax51E4BQcHHzt2rFy5cmJHFxFt2bLl2rVrjo6OYhFaXk2aNAkKCjp37tzQoUNlP3nOzM3N69Spc/HixUuXLokCXE2aNCGic+fOGXgmRY9CoahTp06dOnVGjBghjty/fz8sLOzIkSOHDx8ODQ1VKpVDhw5t3ry59CUVKlQoUaLEvHnzBgwYYODZOjg4tGvX7vDhwzt27BAb/A1Mq6XRo2nTJpoyhVavzjq+YoXh51JEiBv1K1euZDtuaWlp9MmoVKpatWqFh4dfvXrV2dnZuJMpntRq9bBhw2JiYvr27Ttjxgy5TqtQKCZPntysWbNhw4YdOHCgRYsW8+bNs7a2vn379u3bt+/cuSP+Ny0t7eWvVSqVVapUqfGSihUrSknuGo1m5MiRGzdu7NGjx8GDB52cnIioe/fuGzZsGDJkyKxZsywtLadNm5b/b8TU1LRixYqRkZGRkZGigrPoQyA6nRRPnTp1mjBhglarlX4cHTt2PHjwoPQuJnXqeluWlpY7duzo1atXSEhI9+7dDx06JFKmDOPgwYMJCQlNmjQR2w2JaOfOnUQk4lyGp1arg4ODiahPnz5GmUABdO/evaioqNKlS4u6VUR04sQJImrdurVex01KSnJ3d9+9e7e1tbWfn5+VldWJEydOnDgRFhb24MGDzZs3b968mYjMzc2bNWvWunXrVq1atW7dWuzAzo0bN27069cvMTFx5MiR8+bN0+e38lqDBg1auHDhn3/+uWjRItH9BbKZNIkmTaKDB6lDB2NPxajS061u3aJnz8yNPZG3Z+yIf05ERTPdklX9+vUjosWLF+tpRPHAv0vqEW5wV6/yzJm8bl1mhjszJyVx9erIcM9J3jLcJRcvXhRd42rXri3vH5ednZ3U80SSzyKVeaDVanv37p2tck7r1q0rV678xm/BySmRiHP4aNyYv/yS58/n+/e5QgW+fTsrw93VlQcOzPxQqYpghvv58+fpxQ2/xiXCaiuMnU8uMtyZOSGBq1fn9u2R4f7WOnfuTDqtRJlZPE/+rJ93gi1btpDx9g6L39vVq1eLl2KXboMGDYwymeLjzz//JCJnZ+dsx43V9pmf9wQeNGiQUUafNo2JuEQJPnvWKOMXQWq12tzcXKFQ6Lu9ZG5ER0cTUcmSJaUjIoVz3bp1hp+MqFqrj1oEhciECRPEHVRMTIw+zh8VFeXi4kJEZcuWffnmtlSpUs7Ozu7u7t7e3n5+foGBgaGhobks/5ieni4ioZUqVdKtzRgQEKBUKhUKxapVq2T5FkSBtb1794qXoo/60KFDZTl5IVW3bt3z589LL6Ojo2XcpBIXF9esWTMbG4cBA6IN+cwyefJk0skvTk1NtbGxUSgU9+7dM9wkdPz3339E1LBhQ6OMXjCJ++RevXpJRy5cuLBs2TK9tmiOjo4W68Hly5fP1tQ3IyMjPDw8ICDAy8vL2dlZt+yViD+4urqK/j05NKuLiooSnSHc3NyM2JBMq9WKfMcTJ04Yaw4FWZcufOgQ79nDTk6cmlqsM9zXrmUiLoQVZQp2hvu6deuISJS/IKInT57s2bPHxMREf1l4ffr0CQ0N3b17t2ivZGC3b5OrK0VG0g8/UEBA5kErKyrG2Qz69ezZs6+//nrp0qXp6eklSpRwc3MTuSqy2Ldv34YNG5YvXz5x4kQLCwsiUqvVI0aM2L1795UrV3IT7JZLQEDA7t27z58//8EHH1hbWxPRmTNnTp06pVKp5s2bl3OGu7l5xqvSgLLY29Pp00REDg40YwZNn571n/z8SMo1sbbO5zdREDVo0MDOzu7u3bv37t0z5A/0ddq2bfvHH38cO3ZMPMcaXkICHTiQ9dLGhr77jtzd6b33jDKdwurEiRMHDhyws7OTfo47duw4ffq0g4OD2FUqO+Mmlbu6umZkZFStWlW8bNiwoYmJydWrV1NTU8WVE/Shb9++dnZ2YWFhN27ckDK2iMiQaX3ZDBkyZOrUqbt27YqPjy9RooQhh165kn74gUxNacsWatLEkCMXZSYmJjVr1rx06dK1a9dEm1AjKl++vL29/ZMnT6Kjo8UvuUgzv3r1quEnU7duXZVKdePGDbVaLYqfFDcbNmxYuXKlhYXFn3/+aW9vr48hKlas6OzsfOTIETMzs4EDB1avXl03aT0/+5hNTU03b97cp0+fAwcOiGzoihUrEtGoUaPi4+M/+eSTCRMm2Nra5v9ZtUaNGocOHZJS2kWG+507d/J52kKta9euuvs4c36EeVslS5bcs2fPmDHKrVvt79+nvXvppUpserFr1y7SyWffv39/YmJis2bNRA0TwzNufn3BJHIURH6e0LBhw4YNG+pvxFu3bvXq1ev69es1atTYs2dPtqRAlUrVoEGDBg0aiOqmiYmJZ8+eDQsLCwsLCwkJuXPnzt69e/fu3Ss+2cHBoX379i4uLs7Ozi1atBC31s+ePevTp8+dO3dat269ceNGExOjhQQVCsWAAQOWLl36119/tWrVyljTKOB69KAGDWjZMmPPA/LG2BH/17p7965SqbSwsHj69Kk4snTpUtJzjfVjx44RUY0aNfQ3xOvcu8eOjkzE7dqx8UqYFkp5yHDXaDQBAQHiRk2pVHp4eERHR8s7q4yMDHFHKDXpYmZRXuY9kQBsEAkJCeJJQGrzwswdOnQgos8//1yWIUSGOzOr1dy0KZcs+doa7qmpnI8qcwWRaAMQGBho7IkwM58+fZqIatasaZTRY2K4ZUtWqfjbb1l3D9K0aVyMW3zlhXjImTVrlnREpOn9+OOPehpRq9WK+ObDhw/1NMRbEQuf2dJ5QHYim0H3HcroREanPhoV5CAoiFUqVig4IMCQwxYLgwYNIqI//vjD2BNhZm7Xrh0R7d+/X7wU+cLu7u5GmYwInuqjH1XBd+HCBZH8IVcm+Ctt2rSJiExNTQ8fPqyP8z979qxly5ZE1LBhQ90k/Tlz5ohxd+zYkc8hFi5c2Lhx47WiAf3zVj3lypXL52khZ9HRXLdu5vO4ATbniNJSpUuXlnYhizKVX375pd7Hfg3RMejQoUPGmkDBkZaWFhAQ0LhxYyIqX768nZ1dtv3ienLq1Kly5coRUYsWLfJwZ37nzp1NmzZNnTq1ffv22Wq4WVhYtGvX7uOPPxYxCicnJ3n7r+bNgQMHiKhWrVrGnkhBJDLcmTkykqtUQYZ7ocxwL7gB92+//ZaIhg0bJh0RdbI2bNigv0E1Go24wF29elV/o7zs4UOuX5+JuHVrjo835MhFwdsG3I8fP96mTRvxxtOqVatjx47paWJiU56Njc39+/fFkYiICCsrK4VCYbD7GFEZs02bNlptZqf7P/74Q9yyS0tZ+SQF3Jn5xAlWKl8dcP/zTx4+nEeNYmNs4NYX8WQ1ZcoUY0+EmTkjI0O0XTJ8UYj797lRIybi6tX5+nUDD16knD17VqFQWFtbP3r0SBzZv38/Ednb2+u1uZ8IRUlb141LJAZ+9913xp5IESd6WjZv3tzYE8ki8ioGDBhgsBFPnGArKyZinQJOIJv//e9/ROTj42PsiTAzjxs3jnSqronqVY0aNTLKZMQ+WsN3Jza6+Pj4+vXrE9FIfT40X716VawiL1u2TH+jxMXFiYzXpk2bxsXFScdFD0BLS8sDBw7IOJxWqxWpqUbsLF1MRERwtWpMxK6unJqq37F++OGHbH8OogC3/h5Oc3bz5k0iKlWqlBFrjBQEDx8+nD17trSFokKFCnXr1hX/btmy5dGjR/U3dHBwsLh8ubq6Pnv2LJ9nU6vVryw+U6lSJXt7e8O3CH4ljUYjdp6dO3fO2HMpcKSAOzN/991rA+7PQ035hYC7PhTcgLvYpyMlCFy/fl2hUNja2uayxF6evffee0S0aNGibMfj9RYIj4vjZs2YiJs0KYJ1rg0g9wH3yMhIDw8P0ZGjUqVKAQEBUhhaT9555x0iGjt2rHRk1qxZIsah0Wj0OjQz37x508LCQqFQSGXRkpOTRU8eqWJy/kVFsW6A98IFTkjgK1deuEm9cIETE1mj4cePecgQuUY2PtFWqFWrVsaeSKZu3boR0V9//aV7MDExceLEibt3707Vz3PDrVtcsyYTsZMTG6ngZNEhYs1Tp06VjnTv3p2Ivv76a72O+9FHHxHRyz0nDO/Jkyf16tWrWrWqQqFwcXHx8/OT1h5AXqmpqXZ2dkR07do1Y88l04MHD1Qqlbm5ebb14KioqI8//vi33367cOGCjMll169z2bJMxJ6ecp0SXrB27VoqMFWnFyxYoLtAnpCQoFAozM3NDZCu+LJPP/20oO0vMQCtVitK5zdu3Fh/T3OJiYniuUA3Z0tPHj58KMJw7dq1k3oVaLXaDz/8kIhKlChx6tQpucaSKh0j9dgArl3jChWYiAcMYL1Gnrt27aqbTajVardt2+bl5WWU6xIzL1q0iIiGDx9ulNELgqtXr3p5eUlVp5o2berv75+SksLMQUFB4iFaoVC4u7vfvXtX9tET1q8vW6YMEY0aNSo9PV328z99+vTff/8VGxwLVLek8ePHF5zl+QLl6tWs0hdqNYeG8n//se6DfkICv/suV6kiTxQRAXd9KKAB97CwMCIqW7asdK356quviGjMmDH6HloUju/Ro0e24127dq1QoYK7u7ufn19oaKhcgdqnT7lFCybiunVZ7qImxUVuAu5JSUm+vr42NjZEZGVl5e3tbZgMkZs3b5qbmyuVSt2Qt6hWvGbNGn2PPnDgQCIaPXq0dMTHx4eImjVrZoBw/yutXMm//WaUkfUiISHBxMTE1NRU3wuBuSSWc6ZPn657UFQeFL/5bm5u/v7+MlYOuXCBK1ZkIm7ZkvXT+awYuXHjhog2Sp2yHj16VLZs2RIlSsTGxup16JUrV4r7e72O8kbXrl0TdSrt7OykbbBmZmbvvPNOYGBgcnKycadX9Ijqn998842xJ5KlU6dO9GINNGbevHmztCHazMzM2dnZy8srICAgPDw8z+9ljx5xrVpMxG5u+o2nFGcnT54U0VVjT4T5+ZYO3a53ovnKjRs39D30gQMHdDOg+fkl1wAPNQWKRqMZPXq0UqncvHmz/kYRzU7q1q2rv0wpXRERESIG1717dymtQaPRiH7gZcqUCdfd75knGo0mKChIVLCpVKmSeIoxzHdXnJ0/z/b2mfEd2Z+Zbt26FRAQMGbMGHNzc5VKlUNnSwNzdXUlI3WTNrqQkBA3NzeRlqdUKl1dXYOCgrJ9TlJSko+Pj7hBtbKy8vHxSZGxWKqvLysUB5o0+d8XX+g1IzA1NVUk0eu+/cXFxe3atUt/g+Zs9+7dRtxzVoicPMlKJdvZsdSvV61mFxcm4r59Of+/NQi460MBDbiL1A8vLy/pyNq1a5s3b26ADe9PnjwRIQ/dgKxGo5FaugkODg7Dhw9fsWLFpUuX8jxWUhJ36MBEXKsWR0XJMfti6Y0B96CgINGGm4jc3Nxu375twNmxt7c3EbVt21Z67xSLOuXLl5erqMsrHTwYbWtbycbGJur571ZkZKSom3nw4EH9jZuDP/7gmTONMrIeiQ3Fxvq/NBtxv9KuXTvdgzdu3Pjqq690W/2YmJh069Zt8eLF+fxbOH6cS5dmIu7aFbWwZCDyOz744APdg4mJiXoqQatL9C9p0qSJvgfKwZEjR8qWLSvCc3fv3k1OTg4MDHRzc5OaClpaWrq7uwcFBRXznc4y2r59u0jgMvZEsixbtoyI+vfvr3vw+vXrCxYscHd3F5Wvddna2nbq1Gnq1Kl//PHHtWvXcvmMmpCQ8N57J0Udv4KxWlo0xcfH16rVv2PHxUZa4n+B6I9avXp16YgILeW/1nbO/P39TU1Ne/TooZuyKkrWtmnTRq9DF0DDhg0Ty2Z6KvayZMkSIrKxsbl48aI+zv9K165dE/UQBg4cKL09ZWRkDB48mIjKlSt35cqVvJ05NTX1559/lvpaV6xYUeo/XLFixVWrVhkrD7qYOHGCbW2ZiMeOlSGSdfPmzYCAAE9PT903MlEmyNPTU99brnMjISFBLADEFKcMmtTU1ICAAKkDqo2NjaenZ87hHd0d81WqVAnIfwcYrZanT2ciVijYIAUVhw8fTjrFG5OTk21tbVUqlbGaOaWnp5cqVYqI8ny1LD6GDctMdEtLyzwSEZH5PP7TT/k9OQLu+lAQA+4ZGRnixuXkyZNGmUDbtm2JaNu2bdmO37x509/f38PDQ+zpk5QrV87Nzc3X1zc0NDT3yVbJydylCxNxlSps2AhwUZNDwD0sLEw0CCWi5s2bG2UbZnx8vIODg26+gFarFbPy9vbW06AZGdyoEZctq1m6NEQ6KKpVGGuf4NKlXLkye3ryt98aZXx9mTRpEhF9WzC+q2fPnimVSnNz81cmXNy5c8ff39/Nzc3MzEy6fDk5OXl7e4eEhLztvf6OHZm1jwcMKGq9cI3l6NGj1tbWXbt2lTNfJncSExOVSqWpqWmadPtmWBs3bhSPnb169cpWszI6Onrx4sWiiYu04D179gr5duoXX+np6aVLl6aC1LwxOjr6lVVlJE+fPg0JCfHz8/Pw8HBychJPvLrxdxcXFyn//ZWXNbVaLSpoDx68C/WK9K1SJSbKSsUyIrVaLXYcSjvSRHPC77//Xk8jpqSkjBkzhogUCoW3t7fuA8K2bdvMzMy6d++up6ELLLVa7e3tLf5shw8fLu9m0+PHj4vbG8O3sj937pyIFo0aNUr6QaelpfXs2ZOIqlat+ra1khMTE/38/MQmDCKqUaOGn5+f2OZ19OhR0UqdiOrVq2f4b7ZYOXKEra2ZiHWSAHMrI4PPnbvm5+c3aNAg0SJOYm9v/8477/z444+//PKLyIXyysMAchM7Yl1cXIw9EQN5+PChj49PmTJlxA+lQoUKPj4+uW8ium/fvsx+qtbWKQMHcp73sqSmZsZQzc1Zn60KdYmNg23btpWOiLiqv7+/YSbwMrE5qbhVWsuDuDiuXp2JXshi3LKFidjCgs+ezdfJEXDXh4IYcI+Pjx89erS5ufnu3buNMoG5c+cS0YQJE3L4HGmZOlvme9myZXMTfE9LS3vnHfc2bSIrVWL9b2Yt4l4ZcH/8+LGXl5dKpRK3NYbpKv46a9asIaJKlSpJFR7DwsKUSqWZmZmeiucuW8ZE7OiYFQk9cuSIQqGwtLQsIA1SigyxX6Ffv37GnkgmsbXZw8Pj6NGjr7sExcbGBgYGenh4iArO0sKhh4dHUFBQbkKuf/yRYWrKRPzhh4z8KrmcPHlSPLH36tXL8EWK6tSpQ0RnX7xTmz59+sqVK3P/+JEHWq3Wx8dHxF9yrlt6584dX19fUTC3Q4dVokmvtzcbtsd5USMCgvpuEvBWunTpkvswaFxcnG78nV70ymIOomNBmTJlruJXR/+6dWMi3rnT2PNgZmbxG3LmzBnxUjTpHT9+vD7GunfvXqtWrYjIxsZmy5Ytuv9pxYoVIi4sQ15k4bR161Zx+1G3bt38V1wRnjx5Ijazfvrpp7Kc8G0dO3ZMFK78+OOPpYNJSUnt27cnotq1a0fnrnLos2fPfH197e3txUWsUaNGAQEB2fZ1abXawMBAKfO9bdu2ISEhrzsh5NO//7K5Ofv4sL8/R0ZmHrxzh18ZpRBFlv382N2dS5fmzp2/ld6Pypcv/8oQQXBwsEg4+OqrrwzyDb2W6CxdQFKI9Ors2bOenp5S6cLmzZsHBATkoWZ6RkbG8uXLT/TuzURsYsIff/zWhbTj47l7dyZiW1v+99+3nUCeJSUlWVtbKxSKiIgIceSXX34hop49expsDtn8/fffRNSyZUtjTaAQCQlhExNWKjk4OOvg+PGZDdXy8wSJgLs+FMSAOz9/HFIqlXPmzDF8senAwEAiKlGixPvvv7927VrpSvQ6V65c8ff3f++99ypVqpRt+XrVqlUvf356evqAAQOIqGLFKlevoihtfmULuKenp/v5+YnaZKampl5eXnqt3JIbGo1GPHfp3kuJMMeAAQNkHy42lsuUYaKslhoaDQ8bdqtixTboRiK727dviz/2grAb9OuvvxaTEZegMmXKeHh4BAYGvi6JLDU1dffu3RMmTKhYsaJ04bKzsxs2bFgOJVZ/+umnunXdS5bUenvLsMcWdF28eFH8LDp06JAt0Vvf3N3dswWA7t+/L9YsVSqVq6trQECA7K0vUlNTRaNylUq1dOnSXH7VyZMnvb2fioZm4qNNG16y5IU+KOnpHBrKUtX3J0/45k2Ojn5hP1lEBNr88s6dO6nAVNkWhg8fLjLOSpQo8cZ09Wzu378fFBTk4+PTt29fR0fHl9dvRCMTS0vLo0eP6mf68IJJk5iIC0A/ZmbmQYMGkU5/wr1794qLrewDHT58WGzVrVmzpm46SFpamigdRkSenp7FuTrW1atXGzVqJBYkNm7cmM+zaTQakUvepk0bY+3TYua9e/e+HDmNjY0VabC9e/fO+cujo6N9fHykTAgXF5egoKAcrnvp6en+/v5S6rSbm9v169dl+2ZAx61bnJTERCz9DIOCuG/fzH8nJ/O+fTx7Nnftmrn1U/pwdQ0bPXr0mjVrcv7RbN261cTEhIya3qvVasX95/nz5401B33TaDTBwcG6hdrd3NyCdWOWeRMby97ebGbGRFyqFPv55bYzzP373LQpE7GDAz9fCTYY0elNuveOiYkRbcn0mmSTg+TkZBsbG4VCoY9utEXP7NlMxOXLZz37JCWxkxMT8bRpiXk+bVJSUocOHXS73RScgHtEBP/9N4eFGXseb6+ABty1Wq2vr6941O/Tp4/B/vIzMjIWLFhgbm6eLUnKwcHB3d3d39//jYkYUVFRgYGBUoG2v3S7CD8fQjTSKVmy5OnTp/X2rRQjugH34ODg+vXri5+aq6urIWs45uzo0aMiwVyqmh0dHS1WBf755x95x/rkk8yy2pJffmEirl1bk5iIBR75iZU249Zk0Gq106dPF4HL6dOnT5kyRbdGpLW19aBBg3777bcc+jKFh4f7+Pg4OztLfz6v/LQ5c+YQkUKhWL48e9EtkMWVK1dE1TJnZ2dD9tGaN28eEU2dOlU6kpSUtHbt2l69eonnQJHyMGrUqD17/pVlW0NMTIwormVra5uHMsoaDYeEsKcnlyiR+WSrUrGLC/v7c3w8R0eLm87MT/7jDx46lP38+MMPs87g7c2zZ8vwjRRqUlWZ/DSkkVFQUJBKpVIoFGJWusqWLdu7d+9Zs2Zt3br1Xp6WSlavXi0uki/fm4GeLFnCROzpaex5MDPzF198QURS5kFcXFxQUNCtW7fkHcXf318ksPfo0UO33/WjR486d+5MRBYWFr8VpfbxeZWcnDx27Fhp+SE/gfIvv/zy/+zdd1hTSRcH4JPQO4gF7IK9K3bsYscudnQti64Fy6q4RbGLurro6ip21G93xbrYxY5dsCB2wQIIAkrvIfP9MdkYURHlJpfyex8eH3MJdwYIyc2ZM+cQUenSpb/tmUFAysjp8uXLlQejoqIcHBxy2dIaEhLi6urKg/U81J73IGBSUpKyi2PHjh4uLixvmfTwdVJSmKkp69SJ8RI+POC+ahWzt1cEWvmHRMJq12YTJrD//e99Onxe7N27l8c9Vom0PhkQEEBEFSpUKAj5Q4JLS0vz9vZWboMzMTFxcXERuFz4o0eMp7oTsZo1P70DQtWDB6xiRUbEatViYoSYd+3aRUQdOnRQHunUqROJuvWKp/54enqKNYFCJDubdeyoWAVU/snevcs6dHhsZFR6//79Qg1UEALuFy8yIqZ8pzh/PhN7O9DXKaABd+7cuXNlypQhoooVK16/fl3dw4WEhLRt25Y/EY8YMeL69eteXl5OTk453vWpBt9zf00KDQ1VlhDh5HI5z20xMzO7iQK0AuEB98OHD/fo0YP/jmrUqHG0gGxgVsEXWgYNGqQ8smzZMiKqXbv2N+xi+5wHD5iODtPSYnfvKo4kJjJra0aksbpwxc7AgQOJaOvWrWJNQCaTjR07loh0dXVVq3mGhIR4enra29sryxxLpVI7Ozt3d/dclgeePXu2atWqgwcP5jgul8t//PFHHq7atGmTmr4XYIy9ePGCbxWvXbt2hKYaah85coSIOqqu1P3n7du3Xl5eygdSw4YdLC2Ziwvz9//2LQ5PnrC2bVNKlKhevnz52/nL60lNZXv2sN6937/pNTRkGzaw0qVZ9eqKnCEE3HPBY14LFiwQeyLs5s2bvJrtwoULGWMRERE8Xd3R0ZFfDaqysLCwt7d3c3Pz9fV9/fr1F09+7NgxHgjL+14KyL9TpxgRa9tW7Hkwxhjz9vYmoiFDhqjp/BkZGePGjVNGkFUT2AMDA3kJyvLly4vVoapgUq5PNG3a9NtqHh49elQqlUql0lMaLMiQi127dkmlUolEsnHjxi/e+e7du87OzvypiefbftvD49WrVxMmTDUySiViZmZs2bL3G7xAEDzgHhTEKlZkCQmKgLuzs2Kxv3Zt5uLCfHxYfvqCbNu2TSKRSCSST+6PV7f58+fTlwrqFkaRkZHu7u7Kvb+VK1f28PBQXQoVmK8vs7FRXIw6On62gYlMxmrUYESsVauvrkIjkPj4eF1dXdVGqevXryeiPn36iDIfxtjff/9N6tl2ViSFhTFLS0bEVFcoeOdwc3NzoWoIF5CAe8WKrHp1xesaAu4CCwsLa9GiBc8HUV+IRy6Xe3l58dJ7VlZWvr6+qp/Nzs4ODg7mwXdlYw3OysrKycnJ09MzICDgiwvCcrl84sSJRGRoaChK986iqmbNmjwISEQlSpRYu3ZtwdylGx4ezkMJ58+f50cyMjKqVasm7Pv/bt0YEZs48f0R3va8VStU/1CX1atXE9HYsWNFGT09PX3AgAFEZGRk9LndEtHR0d7e3o6Ojqrbd2xsbFxdXf39/fNStksmk/Hajjli+qAmkZGRfLt9lSpVBE/A/KQdO3YQkbGxsbu7++dqWz99+nTBggX9+x9QJnNVr87mz2df24ri1ClmZsaI2ODBkXksa5sXcXHM25s5ODCplJ07x8qVY/v3s6ZNWXY2Au65OXbsGBHVrVtX3GmEhITwqPrnnktV4++lSpXKEX+3trZ2dHR0d3f39fX9+EEVGBjIr/F+/vln9X8r8N6rV4yIlS4t9jwYY4xdv36diBo2bKiOk0dHR7dr144+lcC+e/dunoDcunVrAZ/xioyAgABefr1kyZJfGzR/+fIlf2tWoFrt8biVVCr966+/Pncff39/ZWkLXV1dZ2fn/OfbPnjAnJwUr87lyjEvL3TZEQwPuDPGpk5lrq6KgPuNG+zoUSZg/b81a9bwt7R/azxJqmnTpqKH1QS3e/duHR0dfpHQqlWrvXv3aqKjW1oaW7KEGRszImZgwDZsYIyxdetY69asWjXm4MB4oOn6dTZ0qLgrY7yBvHKBJzIyUiqV6uvrJyYmijKfpKQkfX19qVSalywKYIwdPKjotnv7tiJ3Uy6X9+nTh69bCPJo5+XaNPPM8Pgxc3T8RC+DixdZhw5s4kTGL+ERcBdeenq6q6srf650dnZOFfqJ6cWLFx07duTnd3Jy+mL5mpCQEC8vL2dnZ2XveE61F8ong++zZ88mIgMDg7Nnzwr7LRRzgwYN0tHRkUqlzs7O0flJLVA/Xo6jYcOGymdA3iHEwsJCkNoR2dlsxQpWqRJTnuzZM6anx6RShoQq9bl27RoR1apVS/NDJyUlde7cmT+ELl++/MX7p6Sk+Pr6Ojs7m5ubK5+7SpUqxdulpqenf/KrVGP6J0+eFPqbgE97+/Yt7/1QsWJFNXVX5q5du8bjRKpq167t4eHxuUvemzfZtGmKrTP8o3lz9t9K4hds2cJ4x90BA/LV2CcX4eEsKoqVK8cYY127sg0b3gfczcxY1aqKDwsLBNwZYywzM5Mnf4lYhC0mJoa37e3evXsel8xV4+/K5LVPxt8DAwN5Qe2hQ4cWyc3yBZlcrgg7xMaKPRXGEhISeHE/wbtDfS6BPSsry83NjT8mXVxcBNzOWMTExMTwd/VaWlru7u55/AWlp6c3adKEiBwdHQvan/bvv/9ORDo6OjmyuBhj/v7+vHQDX+R2dXUN+6riI19y+jRr3Fjx0lyrFkOOhCCUAfeEBFahAvPweF/DXVgLFy4kopYtl3x9pb28kslkOdqbvXnzRiqVGhgYpKjpskwkL1680NXVdXR0vHTpkqbHjohgLi5MKmUnTrA1a1ijRuzJEyaXs0uXWNmy7PRpTc/nUzZv3kwftpewt7cnoj179mhmAiEf7QBwdHQkorxsDwJu8mTWufONWrXqKZdJ3r17xy9I5ufjTU5cXJy3t7eTk5OOjk6pUqWaNm2q1vcIcXFs2jTF28OP90TygPvbt6xsWXb/PgLuarNjxw6eHjJhwAAm0BYJxpi3t7eJiQkRlS5d+htqeiqD77zkrmoAK0cjcl5eUFdX9xsq1cIXHTlyRLUtVYGVmprKs3hUt2vw9xiTJ08WahTVYEWvXoyIiZR7XVxkZmYaGhpKJJIcqybe3t6XLl1SX9vnt2/f8g1AVlZWd5UlhPJGJpP5+/u7ubnxPRacoaGho6Ojl5eXagqeakwfbQY1LC4urlWrVhKJpEePv77UQORbvHjxwtnZmWfYlShRYtmyZWfOnHF1dVWGL6VSqb29vZeX1yc7uOaoon716heGk8uZu7siCuDqytTaEF0ZcH/yhJUty9atQ4Z7bnhNqvxcmudHampqy5YticjOzu7bGvPK5fJHjx7973//mz59eps2bXgyuxJ/hHfq1EnEborFmZ0dI2J5WBFWu8TERBMTEy0trYkTJwpYvfdzCeyxsbE8rqqnpydKjYjChbfvkkqlPICel5oPLi4uRFSpUiWxuvzl7qeffuJv/fjuw+zsbF9fX75CQESWlpbu7u6x6lmJksuZj8/7yhadOrHAQBYfz9zc3ncODwxke/awS5eYag3O48cZ9mB/kjLgzhj73/+YhYW6Au6MsWXLjunoMH19duaMYOfMysoKCAjw9PR0cnKysLDIUTpm27ZtRNSjRw/Bxisw1Fg9Ji94Ac/q1dm5c+8PrlnDBgwQaUIfiImJ4Y1SlT+lVatWEdHgwYM1MPquXbu0tbVzVLCYN2+ejo6OWJejhVFaWlqDBg2IaNy4ccqDFy5c0NLSkkqlX5vmGx0dvWnTpq5duyq3hmhpafEKDXp6erNnz/7k+8H8yM5m3t6sdGlGxKRS5uycsw2JXK4IuDPGtmxhHTsi4K5Ot2/fbtW0aYSVFbO0/HInii8KDw/84Qf+SHJycsp/fvGDBw82btw4dOhQa2tr1Xd6JUuW5O3pdXR0Dh06lN9pQyH3zz//8AWeuLg4fuT+/fs6OjpaWlqC94U/fZoRMRMTho1Z6sbbP6gup6Wnp/PFPEtLS2dnZx8fn28LJH3Oq1eveTGlqlWr5rPkSHBwsIeHh2qpdy0tLXt7ew8Pj+vXr/OYvrW19dfG9EEQycnJ339/gIiVLMkCAgQ7bUxMjJubGy8xZGho6ObmpnxGYoylpaXt3bu3b9++yhpEBgYGgwcP/vfffzMyPpF9nJrKDh78QtGq5GTWty8jYtraiv21aqUMuDPG5s5llSoh4J6bEydOEFHNmjU1P7RMJuvXrx8RValSJTIyUpBzZmdn379/39vb29XVtVWrVjz+HhgYKMjJ4WuNGMGImHhdThSePn3KW/4on9bs7Oy8vLzy89KcSwL7nTt3eOvysmXLXv3iaiT85+jRo7x1VsWKFXOvZr57924i0tfXL8h/2tOnT+cvsr/88kuNGjX4Q6VMmTLu7u45UozVIT2d/fYbK1FCEchYsIBpaTFlTHXHDjZyJFuxgk2ZojphtnSpuudVKKkG3BljHTuqMeDOGJs+XdGQJj/rH8nJ7Pz5l/PmzWvfvj1fFFRSTWpmjPFtrOvXr8/vvOFjmZlMW5up/r37+zOxi/gp8Vbeu3fv5jefP38ukUiMjY3T0tLUOu6RI0d47wrVFqmPHz8uWbKkRCI5duyYWkcvYu7fv29oaEhEqkXMfvnlFx4lyMu20ZiYGF57VjXObm9v7+np+fr165iYGFdXV1692dLS0tPTU6jSTOfPswYNFAvD7dqxHC29srKYlxdr3JidOqUIuMvlrFUr1rQpAu5qlZDA+vdXdAF3c/v2BDkfH1aiBJNK57Vtq44qaSEhId7e3i4uLjydWVdX19jYeNu2bYIPBIURr97w448/Ko9MmjSJiLp27SrgKFlZrG5dRsRWrBDwrPBpc+bMoQ+rA799+3b69Ok2Njaq+eN9+/bdtm1bTEx+Nz6HhLBatVIbNGhXp04dAZtqvnz5cu3atQ4ODsqXWx6Cr1at2nNlThRoXHo669eP8U5o+d8Um5yc7OHhYWpqyhPYnZ2dc3kI8R2Fjo6O/DLLxMTUyirV2Zn5+X1dT4jXr1mTJoyIWVgwzdRUUw24p6YyG5tPB9zd3dmMGWziRKbyfFwcZWVl8arowerYSZGryZMn8yt4ATOOc/juu++IaNGiRWo6P+Ru0SJGxGbPFnMOJ06csLCwIKIaNWrs27fPxcWFr4gTkYmJibOzs5+f39fWJFFNYN+yZYvqp/755x/+7tfOzu7ly5eCfitF36tXr5o3b065tu8KCgriP2ER+9XnRXZ29siRI4mIh5ZsbGw8PT3VHcnK4d075ubGjI3Z2bOsShXWvj3bt48xBNy/UlYW8/d/f/PNG3bnjhqHk8vZuHGKC7+vSrZISmJ+fszdnTk4MD091qBBnPJtiI2NjYuLi7e3d45uipmZmWZmZkSES321yM5menofdEY9f541aiTehD7Ae2z2799feaRx48ZE9HEtLAFdu3aNJ03PnTtXeTAiIoLHzXr27Fkwu/EVZBs2bCAiMzMzZRJeVlaWs7NzQK5PHy9fvvT09LS3t+d7y/j1jIODg6enp7KVrlJgYGCbNm343Ro3bpzPhpRhYWHOzs5t2twnYuXLM2/vnO8r/fxYnTqKWPzPPysC7oyxoCCmo4OAu7rJ5czDg2lpMSLWo8dXd3Z+80YRuiBi3buz8HD1zPK9Z8+e1a5dm4gOHjyo7rGgULh9+7aWlpaOjo4yvhAbG9u7d+9bt24JOMqaNYyI2dqyz9TlBiH5+voSUbt27T7+VEhICH8x48FrW9teUimzs2Pu7uzBg28ZKzBQsfGqS5d41axkAcXFxf31119OTk7GxsYSiUStBcQhL2QyNnKkIt3pm6voZ2ay7duDeV9KIurTp8+DPD8EX716tWLFiiFDFiuLtleqxObMYXkp5RUUxCpWZETMxkaxuVYD0tKYaoOf+/fZ1avs0SN2/fr7g7dvs9u3GX8aHjyYfXRtWbx8//33ROTu7q7JQZcsWcLDamqtr3r06FEiql+/vvqGgFwcOcJatmRr14o2AS8vLx7u7NmzpzKtOC0tzcfHx8HBQbm1q2bNmh4eHh+/yfwcHqfIkcAuk8nc3Nz4OUeMGCF436liIkf7rhx1pRMTE/kOP9Ud9AVWVlbWgQMHPDw89uzZo74ag18UH89evWJVqrA7d1jFiiwx8X3AvXdvdvSo4qNfPwTcPy0khJUt+/7mpUvMzk69I8pkbMgQxjc4frF4cng4c3VlDRowqfR9cx1tbWZvnz1jxo+HDh3KpXjR6dOnqQA0Ti/KGjT4oDaDhwdzdhZvNh8IDw+XSCSGhobJycn8yOLFi4nou+++U9OI9+/f59uYvv/+e+XBhISEhg0bElGzZs2UM4GvMnjwYP4D/GK3mNDQUNXQBL8Od3R09Pb2/uLWK19fX74uQkSOjo7fsEqXnJz8yy+/6OvrE1GFCo0XL87OcaH09On77t+2tszHhz1/zlQX37dv/0Rj1YKsEAbcuXPnWJkyjIhVrPgV7SD37mUlSzIiZmrKvLzUOb8P8GcuFxcXjY0IBRwPbfRU23ZEuZzVr8+I2L//qmkE+EBsbKxEItHT08tl1SQ8PHzDhg0//HBBT+/91XDt2mzOHHb1al6361y4wMzMFBU5BS1R82m8ngwapRYEMhkbO5YRMV1dtn//V3+5ry+rVo0ZGclLl67fvHnz83nscPqR+/eZuzuztf3gMezuzpR9j+bMYSNHvr+/gwP77jtGxFq3ZkJ0hlaL9HTWtSsTaH9kYXXq1Cme/6uxEf/++2+JRCKVSvfxfEu1yczM5O/u8r7CBEI5dYrNnPn+BW7tWvZx8Tz1ldZPS0sbNWoU363l5ub2yXDn48eP3d3dla2YtLS0HBwcfHx8vphhJ5fLFyxYoNpZOiEhoXfv3jyd2cPDQ+BvpvjZtWsXz4Js2LDhs2fP+EG5XM7LXzRo0ADrGV+FB9wZY1OmsGnT3gfcGzRgU6YoPho2RMD90zQfcGeMZWYyR0dGxMqUYbnvAYuOZhKJIshuZ8fc3JivL8s9Jyc7OzsoKOiPP/7gy1dubm6Czh1U+PiwGjXYjRssJYUdOcKsrPKUrqIp/L2e8krs8ePHRGRubq6Otjfh4eGVKlUiol69eilfZDMyMhwcHPiO6ryveUMOcXFx/Gf766+/fvIOyhKyqpvveZxd2XA1L1JSUjw8PHi1RgMDAzc3tzyW5pPL5T4+PnySEonEyckpx26b5GTm7s709RkRMzJi7u5Ms/vB1KXQBtwZY2FhrEULRsT09dkXmxHFxTEXF0V4oHNn9uqVRqaocOvWLSIqX7781+5XhaLqzZs35ubmRCRgkbLQUKa6ynjt2pf/LEBAbm5uVlZWRFS5cmUXFxdfX9/PrTAnJjIfHzZ8OLOweB+1zEtj28OHmYEBI2JDhrAvrV4L48cff9R80it8jlyuKOuppcV27MjrV507x5o1UzzMatZkR48K0NJBLmf+/mzCBGZpqTizVMratmWbN7PBg5mFBVNWESxVir16xZYuLbhbbdLS2KRJrAAXAdYQmUxWunRpIsrRTSQ8PLxGjRrDhg1bvXr1hQsXhOpFce7cOV5KW7V8p/qMGTOGiBYsWKCBsUDVypVMR4cpKwN3785Uep0otGrFHByYtzcTNnwaFhbWtGlTIjI2Nt7/pVVKmUzm5+fn5OSkrKhmbW3t5ub29OnTPA736NEjHrcqWbLkGQF7HRZvDx48qFWrFhGZmpryX+Ly5ct5MChEucwLeaMMuMfHswoVFKvjKCmTR6IE3BljGRmsa1dGxCpUYB/GpnL64w924cIX4lMymSw4ONjLy8vJycnS0lIZd/vll1+Ua1qgFv/8w3r1YvXrs0GDPihOVACsWLGCiIYNG6Y8wmsznBI6izg+Pp73NWzRooVy31J2dvbAgQP5drEXuT/E4Uv8/f15r9TTp08rDwYHB7u7u/NXUs7CwoK3l8vPZoLw8HBnZ2eeI1+uXDlvb+/c45w3btzgSzs8Df/KlSuqn5XLmbc3s7JSFA53dmYCNXUqEApzwJ0xlp7OXF0Vb/ednT97qX78OCtXTrEb38Pj2yu/fyu5XF6uXDkiQtdBUPrtt9/4FuYvbvzJo2HDmKUli45W3LSyYsIV94YvS09PHzt2LI9YcZaWliNHjty/f//nXs9kMubvz9zcWPXqTKXNyaf9739MR4cRsQkTNPcctm/fPiLq3LmzhsaDPPDwUAS4v7ii9uDB+015pUoxT08meFFEmYz5+TFnZ2ZszIhY+/Zs8GC2dCmrWFGRWlWqVM528wVKQgJr0oTNmsW8vIp7SRnGmIuLS46SmoyxAwcO0Iesra2dnJw8PT39/f2/7WI9ODiYLznP1lRh7+PHj2PLvChWrmSjRrHy5RXN2z8OuL9+rchm4pUTpk0TJvPP39+fl8+qWrXqV3UmiIyM9PT0rFevnvIBz3ur5v5QP3z4MC+C3LBhQ9RBFlZiYiIPx0gkkgEDBmhra0skkgMHDog9r8JHGXBnjO3ezQwNPxtwT0tjwcFFJLVQKCEhTFub1aih+KhYUUMBd8ZYSgpr04YRsWrVviUIlZaWdeHChYULF3bp0oUnpSpVrFhxxIgRmzZtCgsLU8PEoXAIDQ0lIhMTE2V7iblz5xLRhAkTBBwlNTW1devWRFSnTp23KhWhefUwMzOzO2rtilBsuLu78wi4v7+/u7t79erVVeMSzs7Ovr6+Au5duH79umoYPZcW8atWreLvILy8vHJsN7x69T5v9EXEWrX6itolhUUhD7hz27czAwNWsSKLiWFv3rCff2bduzMnJ7Z+PZPJ2MGDil9g27ZMvGyIsWPHEtGyZcvEmgAUNBkZGTVq1CCi33//XZATDhvGWrZko0crbiLgLors7OxLly7Nnj1b9RVOX1+/Z8+emzZtioz8bE2N3MtZrFunKMuo4R2fUVFR/CJMqHbkIIilSxUpAHv2fPoOYWHMxUXR68TYmLm5sa/ZLPgtEhOZtzc7fpwNHsz27WOzZrEffmCswAfcMzNZSIjio8Dm4GuMn58fEVWvXl31YFZWVnBwsLe3t6urq729Pa+6qKSlpVW7dm1nZ2cef89RavmTwsPDefmOwYMHa6yicWZmJs/mu//FUrggqJUr2Zw5zMODDRnC2Gcy3N+9Y2vXsoYN32/5ataMbdok+2It0c/x8vLiierdunV79+7dt50kICDAxcVFGZ8yNTV1cXHx/ygzUS6Xe3h48IZjQ4YMycufAHwtuVy+fPlyHmonop9++knsGRVKqgF3xljHjp8OuC9cyPr3Z+vWMQcHzaeoFVw8w10mU3xcvKi5gDtjLC6ONWrEKldmvr4fpEcfP84SEj5x/+Rk5u/PPDyYgwOztJRra79/4baxsXF2dvby8tJ8j3QosHj99CP/vTzfvn2biMqUKSPUuz+ZTNa/f38iKl++vGoj8fnz5/O3yfnswAlKMpmsTZs2yuLsPPg+efLkc+fOqem9fHZ2tre3N09xkEgkzs7OkZ9aGMzIyFi+fHmObbLKNPmmTd+ULfuJ1qlFg4QxRkXAnTskk1GtWmRnRwMG0HffUXw8zZlD1arRunXUsSP17EkzZ5KWllgT3L9//8CBA9u2bXvhwgWx5gAFzZEjR3r16mVsbOzm5pYj6SAHbe1JMplOLneoWpX+/pu6d6clS8jLi9q2JWtrCgyksmWFnjTkWWho6OHDh48cOXL+/HmZTEZEzZq9yc4u7ehIvXqRnV1ez7N8Oc2ZQxIJrVhBM2eqccKfZGtrGxoaevv2bX41BgXExo20aRONGkVubnTnDtWsSUQ0bBi1b0+hobR2LaWlkY4OjR5NCxfSf31SNWHIEHJyoq5dqW5d2r+funene/c0OgH4ZtnZ2WXLlo2Ojr5z506DBg0+eZ/MzMygoKCAgICAgIDAwMD79+9nZWUpP6utrV23bl07O7smTZr0799fdccPl5iY2LZt27t377Zt2/bUqVO8qoxmjBs3buvWre7u7vwNHmjGb7/R27e0YAE1bEhr1tDvv9OkSVS+PNWt+4lL8vv3adcu2rqVYmOpRYuIO3eq9urVy8XFpVOnTqrvHnORkZExadKkrVu3SiSS2bNnL1myRCt/V/6JiYmHDh3atWsX7ytIRLVr1x45cuSYMWNKlSqVnJw8cuTIgwcPamlpLVmyxM3NLT9jQe4uXLhw+/ZtExOT7777Lp+/1uJJLqekJDIzU9zMyCCZjLS1SS4nAwPFwbQ0kkhIT48kEhowgLZte3//Yi40lNq0oYgIxc3Ll2nqVAoI0NwEYmIoI4OWLaOtW99f9dWqRQcOEK8V8e4dXbpEFy6Qvz/dvk0ymeILpVLq0ePnKlWS27Zt26ZNmzK4IIOPLFq0aN68eWPGjNm6dSs/UrVq1ZCQkIsXL7Zp0yafJ2eMff/991u3brW0tPT391fWNtm0adP48eO1tLT27NnDO3OAIMLCwgICAubOndutW7cBAwa0aNEij1dQ+ZGSkrJy5UoPD4+MjAwjI6OZM2f+9NNPuVzkp6WlrVy5cvny5ampqQYGBvPmbZgyZZSRkbqnKRKxI/6C2r6ddejw/mZ0NDM2ZlFRBWGtJCEhQVdXV0tLS3UTDUCvXr2aN2/+xb/TEiXkysyvT3707cuGDWN79rCTJ1nt2iwjAxnuBUhUVNTmzZv79h1kbv7+91itGps1i/n7f5DbHhfHPDzel7a4c4d5eTE9PaatzbZvF2PqjI0YMYKI1itL8EKBkZnJNm1iVaqwTp0Ur3JDh7Jly5iWFpNImJMTE6UgJ89wZ4zt28fatCnoGe6Qw4QJE4ioe/fuN2/ezMue08zMTNX8d11dXeXL1u3btz++M++LVbt27W/OO/5mJ06cIKKaNWtqeNxijme4M8bOnmV167LOnZmPDzM0ZNbWzM2NPXnyiS9JS2O7d7NRozYo3yJWq1Zt2bJlEV+6pomIiOBbm/X19Xfu3CnsNxIcHDx9+vRSpUrxKenp6fXs2dPGxoaISpQoIXitWwBxPXvGVEo6g2g13HOYOJF16fL+qq9mTXb0KJs0idWrp9gIyz+0tVmLFmzWLHb48BdapwIwxoKDg4nI0tJS2cj0119/dXR0vHbtWv5P/vPPPxORgYHBpUuXlAf//fdfbW1tIvrjjz/yPwQUEE+fPnVycuKXSVWrVvXx8fnk3Xx9fatUqcLv5ujoGBoaquF5alhRyXDnZs0iAwNauPD9kUaN6PffqX170aakomPHjufOnduzZ8+gQYPEngsUFIyxY8eO8Y38udDTW5mRkVuGe/36dOYM9elDgwbRoEHUogWtXIkM9wInLY1On6YjR8jXl6KiFActLalHD+rVi7p1o+hoqlaNhg+nXbuIiDZvphs3qGtX0tamvn3FmfOGDRsmTpw4fPjw3bt3izMD+LzNm+nWLXryhEaPphEjaNgw6tmT3ryhdu2+YguFsHiGO09V6daNTp6kqChkuBcaV65cWbNmjY+PDxFpa2tXr17d7j9Nmzb9YkJ6amrqnTt3AgICbt++vWnTJmX/SSJijI0aNWrXrl1ly5a9cuVKpUqV1PudfEQmk5UtWzYmJubevXt169bV8OjFFs9wX7aMiGj4cNq3j1atovXr6dEjIiKJhNq2pTFjaOBAMjTM+bWhoaHbt2/fsWNHeHg4EWlra3fv3t3Dw4P3c8vh6tWrAwYMiIyMrFChwoEDB5o0aaKObyczM/PkyZO7du06ePCgTCYrU6aMhYXFoUOHeIVAgKLh7l3y8qKVK6nI5ht+vbg42rKFZs1S3Hz1io4dowkTND2NSZOoQQP66y8aN45GjKBatWjxYho4kIhIR4fq1ycHB7K3p7ZtsTUBvk6tWrUePXp05syZjh07Cnha/i5SS0tr3759ff97K3vt2rVOnTqlpqYuXLiQ14uHouTMmTPTpk3jqzidOnX6/ffflX1xbt++PW3atIsXLxJRo0aNPD0927ZtK+ZcNUPkgL+wpk5l8+d/cKRZM1Zgsk54D+jvvvtO7IlA0cQz3BljYWGsQgVmaooM94JLJmMXLrAff2S2tu8TUgwN2aZNrFo11qgR493FN21i48aJPNU7d+4QURXVwp9QYGzaxH74gQUHs3Ll2Lt3bOhQtnu3yFOaM4edOaP4/9OnrEkThm1dhcudO3dGjBhRq1YtXpZaSV9fv3nz5pMmTdq+fXtQUNDX1oKcPXs2EZmYmHyc+a4xs2Ytbd9+iYfH13edg2+lzHBnjEVGMnNzRQ33gADm4qJotkzETE2ZszPz8/vEGbKzs/38/JydnQ0MDCQSybNP7dzZtWsX7y7Qtm3bNxppfxwWFrZ27dqHDx/mKEgKUNi9fs3q1WOjRzMXF6ZSbBkKhIkTmZcXCwpSXPXVrMnu3WMeHszfH31oIF94HvqkSZMEPCevtyaRSLZu3ao8eO/ePQsLCxK6KSsUKFlZWV5eXiVLliQibW1tFxeXx48fu7q68nJwlpaWnp6exac/XNHKcN+wgc6coX37FDfT0qhsWbp7lypWFHVaCg8ePKhTp07VqtUfP3784dtYAAEMH67IcCei336jWbMoIgIZ7oVAaCgdPkx799LVq3T2LI0fT5s30/ff0927tHMn3bhBmzeLOT25XF6iRImEhITw8PBy5cqJORX4yObNdPs2/fknzZpF6en09i317EnDh4s9LSgSkpOT79y5E/ifR48eyeVy5Wd1dHSqVavWunVre3t7Ozu7mjVr5lJV2cvLa8KECTo6OkeOHOnSpYtGpv8Jfn7UpQvVqKFIrwbRJSXRnj20bRtdvao4Uq8ejR3LRox4x5vcqoqJiTl79uzgwYNVD8pksl9//XX58uVE5OLism7dOtV9FQAARQnPcHdxoZkzKTubTpx4X8MdID8CAwObNGliZWUVEREhFSJQdf78+W7dumVkZHh4eCgbnISHh7dq1SosLKxPnz779+9HN46iLTY2dt68eZs2bcrOzjY2Nk5OTtbV1Z0yZcrcuXPNitMenKIVcE9MpBo1yMuLevcmmYxmzKDXr9/H3wuArl0vnT3b4soV7aZNxZ4KFDnXr1PZslShAhFRVhb9+y/17Pm+DxIUfNHRlJREPXvSo0c0ciRVrUrW1uIH3ImoW7fuz57p/P770l69UIehYFEG3JOTqV49KlGCZsxAwB3UIikp6e7du8r4+8OHD1UvII2NjRs0aKCsP6OaIH/48OF+/frJ5fLt27ePGjVKpOkTEWVnU9myFB1NQUH03/ZWKBAeP6bt22nHDnrzhho1irt/36pLly4jR47s168fL/P6SbGxsYMHDz579qyent6ff/45ZswYTc4ZAEDDlAH3pCRq0IDi4+nyZQTcQRg2NjbPnz+/fPlyq1at8nmqzMzMatWqvXr1aurUqZ6envzg27dvW7du/ejRo/bt2x8/fpzvS4MiLygoaPr06W3atAkMDFy1alX16tXFnpGmffYqtlAyNaUjR2jOHJoxg7S1qVUr8SNVH7K1bX3qFB0/Tgi4g+BUe6/q6Cgq+kEhUro0JSUp/r9yJTVqROPGiTqh/9jbHz15UnruHPXqJfZU4DOMjWnFCkJ/EFAfExOT1q1bt27dmt989+5dYGBgQEBAQEBAYGDgy5cvL1++fPnyZf5ZMzOzxo0bN2nSxMzMbNmyZdnZ2UuWLBE32k5EWlrUrx95edHevQi4Fyw1apCHBy1aRIcPk5+fX1BQ9pEjR44cOVKhQoXRo0d/9913yv5aSnfu3OnXr9+LFy/KlSu3f//+vPSfBwAoGkxMyMODPtzwA5Avffv2/f3337/77rsRI0Y0a9asefPmvPbLN9DV1T18+PDWrVtXr17Nj6Smpvbu3fvRo0f16tU7ePAgou3FR/369c+cOSP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",
-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x2600>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "10 AP fragments with the most retrosynthetic routes found\n",
-      "legend: number of retrosynthetic routes found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "79 FP fragments with no retrosynthetic route found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x1600>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "10 FP fragments with the most retrosynthetic routes found\n",
-      "legend: number of retrosynthetic routes found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "74 SE fragments with no retrosynthetic route found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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nJSW9+uqrCxYscHJymjJlyoABbHS1BaVU8+bNw8PDS5cuXaxYsSwPcvLkydjY2OXLl/v6+hobYWYkJSXVqFHj+PHjFSpUKFCgQNYGSUtLO3r0qNls3rVrF9ssgBwkOjq6YMGChg9765YMHSrTp4uIvPCCfPed3N4HeKeffpJ+/eTmTSlfXn74QZo2NTwWiYuLc3V1dXJyMn5oZFVy8rkjR55+7LFhRYq87OhYUESJmO7/sgdx/Pjxjz76aPHixSJSuXLlTz/91M/P747nmM3mOXPmfPTRRxcvXnRwcHjttf6ffPJNqVLGBgI7OHnypIeHR9myZc+ePSsiu3bt+vPPP59++mlDDlHGjBkzcuRIZ2fnJUuWdOzYMfsD5jZ2TfcbKSYmJiQkZN++fSkpKQcOHAgJCfH39/fw8Mj4yzo6Onp6evr7+4eEhBw4cEAvhrpbampqly5dRKRMmTInT5607e8B/OPq1asODg6urq6//fbbAy1mv4fTp09XqVJFRDw9PW26+Dq3MJvNx44dW7Bgwfvvv9+qVavCdx0ylyhRol27dsOHDw8NDdX74tu1a5eSkmL1yCZOVCLKzy/9bt26SkSFhVl9Xhjh66+/Ll++/JEjR+wVQGBgoIjUqFHDGu/Vzz77TERq166dlpZm+OCwHr3mYNeuXfYK4MaNG6Ghob6+vpaUupubm6+vb2hoaFxc3D1eaDab9VtaRAICAv7reA8Gmj9/vv4GvHnzZnbG+eqrr0SkUqVKiYmJRsWWefrDytPTMzk5OTvjDBkyRESaNm3Kew/IQZ544glPT8/AwMCIiAijxoyIUFWqKBGVJ48KDr7/80+dUk2aKBHl5KQCA9X/bxrMuri4uLCwMH9//3z58q1evdqYQWGcpKQzFy6MPXDgibi43YcPNz12zPfKlZCUlMvZHzk2NjYwMFA3eMubN29gYOAdX69Xr14NCAiIiorK+Hw3N7cWLUbmzasCA1VCQvajgD2lpqY6OzubTKb4+Hil1ODBg0VkwoQJRo3/4YcfioiLi8uvv/5q1Ji5Ru5JuFerVk2fWd2x0Klw4cLt27cfM2bMunXrbt26lcnR4uPjmzVrJiKVK1e+dOmSVSNHFly5csUGs5w4oc6fT7998qQ6d84Gc/4ffRW6devWxg578eJFXUy5WrVq52z/W+VA58+fDwsLCwwM9PX1vXvhXuHChb29vQMCAkJDQ++4knfixIkSJUqISJ8+fawdZNrTTysRtXixUkodP65EVKFCyh4JCzyolJQUXQSjZMmSe/bssX0Ax48fd3NzM5lMGzdutMb4CQkJel/O999/b43xYQ3x8eYGDdqXKlXG9nnP+Ph4nRdwd3e3LJjw8fEJDQ2NiYm5xwuPHz/evHlzy1KJ7777Ti/i69atWwLni9YUHx+v/41/99132RwqJSVFH6J88cUXhsSWeZcuXdKr2n/77bdsDnXjxg1du/Knn34yJDbYndls5vJJ7nbu3LmMy2iqVav20UcfZeeSs9lsnjRpZuHCZhFVt646fDizL0xOVu+/rxwclIjq2/eH7JysXb16debMme3bt3dxcdG/l4ODw/jx47M8IKwqKurbc+fe27XLMSJCIiJk1y7no0fbXLkyPSUlKgujmc3m0NDQxx57TERMJpO/v//Fixfvftobb7whIoUKFZo4caLlYvPx48dffDFW1zjy8FA//5yt3wt2p1cBHjp0SCk1adIkERk4cKCB47/77rsi4u7ufo9zybS0NF2P9OTJkydOnNi3b19ERER4ePiaNWtWrly5aNGi+fPnh4SEHDx40MDA7C6XJNwvXrx4RwrM1dX1888/j4iIyPJ6uujo6Hr16ulFeTdu3DA0XmTLmTNnKlSoMGjQIGsf+I4dq+bMSb/9+edqxgyrzvYvdO3jsWPHGj7y5cuXa9WqJSIVK1aMjIw0fPzcYdWqVc2bN797U3np0qU7duwYGBgYFhZ23nJN5j/s2LFDd3sfN26c9UI9derUY/nyzWjZUulVn2PGKBH16qvWm/EekRw4cCDzVzehxcXFtW3bVkQKFiwYHh5u49l16YZXrfmGmTt3rt43du+FyXh4/PmnElF16th63n79+unPTEuefcaMGdczV85Wb2V97LHHdu7cqR/5/fff9Wd4kyZNbHOp/tE0atQoEalTp07GFg7PPvtsg0ybN2+e5YW62Gj+/Pn/NTVgPb179xaRzp07Wx5JSEjI/K/QoEEDXfJI++abb0SkfPnyfOjldPHx8QEBAQMGDKhRo8aWu2tvIxdJTU0NDw8PCAjQOUrt8ccfDwgICA8Pf6ATz0uXLrVp00ZEmjb9bvDgrCyAWb1aNW++1cnJqVixYsuWLXug1165cuWO/WGOjo7e3t7BwcH3PXOB7cXErD937v2oqGmHDnndurU1OflSVNS3R4+23rXL6Xbm3fHIkWeioqYkJmb2r2/79u2NGzfWf/sNGzb8448//uuZR44csdRwq1KlyqJFiyw/Wr9e1aqV3lrgmWfU3r3Z/U1hL88++6yILF++XCm1YsUKw9d0ms1mXX8yf/78Xl5eXl5e1apV8/DwKF26dOHChR+ouG7nzp0/+ugjA2Ozr1yScF++fPkdf0+Ojo5nz57N5rBRUVFVq1YVkRYtWrA26uGxatUqvStq4MCBVi1QYPeEu17kZaWD++vXrzds2FAfRx4/ftwaU+Ro8+bNe+aZZ/TnSalSpXx9fXWG/b/q8Ny8eXPDhg1ffPFF9+7d+/Xrl/FHYWFhjo6OJpMpNDTUStGOHz9eRLp3767vzunWLap+/TSbNwycPn36iy++qP+nFSlSpE6dOp06dQoICPjiiy8WLly4bdu2CxfUf52tXLyoGjZM30eyb58aO1Z9+OE/q4FGjlR//WWj38JekpKSunXrJiLu7u623JH3yy+/SOZ6pWaH2WyuX7++la4gwhqmTlUiqndvm0766aef6nZeXl5ewcHBD/qejImJadeunYjkzZv3l19+0Q/u27evXLlyIlK5cuWjR49aIepH3dmzZ/U1kjuWNT1QJfc7tjZ36NBBRO74MrWqXbt2OTg4uLi4ZCztFRsbm/lfQUQW601mSimlUlNTdXVUPvRytD179uiTQb1dxtnZOSgoiPJouV5aWprOvJcpU8byD7xs2bL9+/cPCwu7b/G9tWvXlipVSkSKFSumM1xZExUVpT8MRcTf3/++V+/OnDkTEhLi6+trKdFuybPb+PolMikuLuLw4aaJicfi4nbdvBmWlHQm409TU69fvRp67Jjvrl2uOvM+fvzTXl5egYGB9zieOXfunL+/v8lkEpEyZcqEhoZm5lrRypUr9WediLz22geWU7C0NBUaqkqUUCLKwUH5+6vLl9XmzSo2VimlzGb155/Z+R8AGxk0aJCITJo0SSn1999/i4iHh4exU6SlpZUoUSLj1co7mEymwoULFy5c+PHHH/fw8KhZs6aXl5e3t7ePj0+7du38/PxefPHFrl27Ojo6Ojo62rGgpbFyScJ95MiRd/x1dunSxZCRz5w5U758eRHp1KmTLaowI3N+++033eS2e/fu1vt7GTtWNWmievRQPXqounVtnXCPiooymUzu7u5GVW+/282bN5966ikRKVeuHGmIO+hs+9ChQy9f/vfyedHR0eHh4cHBwf7+/p6eng4ODpbPn6JFi97xZL3SzdnZec2aNdaIVm/H0etf9Jdo4cKFrffO+VfXrl3Lly+fyWSqVKmS/ud5hyJFqogoFxfl4aG8vZWfnxo2TIWEqLAwFRGhDh1SlSqprl2VUmrrVtW/v3rpJbV7d/rgPXuqbdts+dvYR2pqar9+/UTExcVlwYIFNpgxPj6+YsWKIvL1119be66NGzeKSL58+TjryxH69lUiavJkm06qy5JkXCb8oFJSUnSXVEdHR31eoZQ6f/583bp19YczC1QN9/LLL4vIiy++eMfju3fv3p5pd3wsHDt2zNXV1cHBwbJZwarMZvPTTz8tIsOGDcv4eFpaWuZ/he3bt9+xFWP9+vUi4u7ufvr0aRv8FjCW2WwODg7WS3w8PT137doVGBioD/ZatmzJMuFHx4EDBwIDA3UHLMtxvr+/f1hY2N1H2ikpKca+T+54H+7fv//u55w6dSo4ONjb21vnWOV2v5OQkBBLYW48hFJTY/76q3JEhJw798H9nhl97doPJ068ULVqKUvusn79+p999lnGU/j4+PigoCC9mjhPnjzDhg17oD3HycnJwcHBhQsX9vTc4eys+vdXlp2B166pt95STk5KRNWoocqUUe++qwNTtWs/4K8Ne/jiiy9EJCAgQCmVmJjo4ODg5OSUzXY1d/j5559FpEiRIhs2bIiIiDh06NCJEyfOnTt3/fr1exeEvMPbb78tIvXr1081qoWFXeWShHv79u3vyOxs2LDBqMEPHDhQpEgRfWHZyBomu3er0aPV2LG5f92mdWzatCl//vz6HM/YDwuLsWPVt9+qGzfUjRvqk09snXC3UgH3O8TGxrZs2VJESpYs+a/HcI+mixcvOjo6urq6Zmz+du3atdWrVwcFBfn5+ek6aBm5ubk1bNhw0KBB33333W5LnjgD/eVRoECBffv2GRvt8ePH9ch6I46+AGnLhYHa6NGjRaRDhw76blRUVERExM8//xwcHDxkyJAuXbp06vS+Xh/xr3/Gj1edO6vevdWKFf8k3JcsUYcOqUOHVOfOj0TCXSllNpvfe+89nS6cPj271ZDva8SIESJSs2ZN21xR7tSpk4gMGjTIBnMhm7y8lIiyZX2j69evm0ymvHnzZn/1aHBwsM53BAQE6OP1W7du6WNFNzc321zNekT88ccfJpMpT548ltL5RtH1QJs0aWKDwtnz5s3TB0LZ7Ph6txdeeEGfQRg77CMlMS7mxJ7NJ/dvjb5iuxz3lStXLDUWMq4sXrNmjV65XLx48eysXEZOpDPvlr5xenWLv7//okWL9Dvk5MmTeiWTk5NTYGCggTshdu3a9cQTT+ivsODbrVdPnDhxR549T548uq94dHS0UVPDeiIjX4mIkEOH6pnNmS05FBcXt3jx4pdeekmnQbRatWqNHj162rRpFSpU0I/4+vpm+Us5Kiq2f3/l6KhEVPHiKiTkn869hw+rDh3U3Lmqbl3VoYPau5eEe46hs+GW83S99fPEiRNGjZ+amurp6SkiU6ZMyeZQsbGx+p08depUQ2Kzr1yScNdtCS08PT2NPTrfvn27vlT41ltvGTPi2rWqRQv1558qPFw1bsxWnKzZsmWLrs3q6+trja5u9i0pY70C7neIi4tr3bq1PnnYS202pZRSX3/9tYg899xzlkeWLFlyR4bd3d39qaeeeuONN2bNmrV379775ivT0tL0iXeZMmWyX/Aqo7Fjx4pIr1699N0nn3xSRNauXWvgFPeVkJCgd5Ddt+tmfLz6+2/1++/qu+/UyJGqZ0/VooXy8FDz56vOndXly6puXbV2bXrCvWdPNXSoGjpUVa/+qCTctaCgIBcXlwYNVgYFWXEWS6/UTZs2WXGaDA4fPuzs7Ozo6HjgwAHbzIisSU5Wbm7KwUE9yJKU7Fq7dq1OsBoy2qJFi9zc3ESkbdu2emVNSkqK3lFrMpkCAwMNmeURl5amnnnm6lNPvTFy5GjDB4+JidFfKwsXLjR88Izi4+P1ZtZZs2YZPnhkZKT+mLV9c45c49yR3SFD2mxZPGVeYPftYTNtMOP69etLly4tIoUKFbr77Xf58mVduspkMgUEBNi+rTTsbt++fYGBgbryp1agQIEWLVrodIGHh8c2Kxyz3rp1q1evXnq6evXq6aN9rVChQv7+/kuXLo2Pjzd8XljJ1auhERGye3fehIS/s/DyhISEsLCw/v37W/Jg+huzXr16mzdvzn54e/aoZs3SF0XVqaP+/v8Y69ZVhw6pZs1UcjIJ95xh3759IvLkk0/quy1atBCR1atXGzX+d999JyIVK1a07PuJiYkJCgr6+OOPhw0bNnjw4P79+/fu3dvPz69r164+Pj4+Pj4NGjTIWOo9Yw5BJ14KFCiQCzaT5YaE+6lTp+5IhH377beGz7J27Vq9meuzzz7L1kCbN6s33lBt2/6zsH3LFtWtW/YjfDRFREQULVpURNq1a2f4QcYXXyjLMrjJk9XcucYOfx9WLeB+h8TExM6dO+sjNmscI+Y4TZs2FZH58+dbHjl8+LCLi4unp6e/v39wcHB4eHgWCrYkJCR4e3uLSM2aNQ1cRqdLHuuq33v37tXXTmxcAmvq1Kki0qBBgyyPcPq00p3qpk1T7ds/oiVlMvr++xMODkpEDRv2n4Xvs0kXBu1t2yrdOuPZsWNHW06KTLp+Pb2xW0qKWrpUff21Sk1VNlsnN2HCBBF54403lFIpKSlvvfXWzJnZSq5t3bpVlxGvXbv2Od0gIsPi9379+lEqMJtmzlQiqkyZ9Fquhps+fbqIlCtXzqp9R/W2sLp161qpMPdHH30kIl5eXhT+zppzR3b/8tUQpdTlU3/PH/PqjctnDm1dseb7MZdPZSVLdW8Z64G0aNHCsjxix44dx44dszwtLS1t/Pjxuh1l9+5jM5T9N1JaWpoNtncgOyIjIy1rzPPkyePs7NylS5dMdvnOmsWLF7u7u+vln0WKFPmvyjZ4yCUmHt+zp0BEhFy9+n02h0pOTv7tt9/04uLu3bsb+0UTFqYqVlRFiqhr1/7v8bp1lVLppUFJuOcIt27dMplMrq6u+h2iG5x+8803hgyekJCgl8xnTJ5cvnxZHsSKFSsyjtmxY0cReemllwyJ0I5yQ8L9p59+yvhXVahQoVjrHPj//PPPuvPh9OnTH+yV+/f/UwErMlKVLq2qVfunW3lUlMpGlgp79uwpXry4PjJ+oDplmRhZWdpfbd6sbFnkPCpKNWy43MfnXZsdQiUlJT333HMmk2myjUv2PnzOnz/v4ODg7u6e8e1kNpsNqSN29epV3ZGmbdu2huR67qjY/uGHH4rI66+/nv2RMy81NbVy5coismTJEqXUlStXnn/++QddNG1JuKelqUaNSLgrpdT8+crZWYmoAQOU4YmapUuX6nfOf3UpsJKoqCi9M8lK/QyQHYMGKUv59MGD1apV6vx52+3u6t69u4jMmDFDKfXXX3+JSOXKlbM55rFjx/Q2/DJlyli2cC1evFj3mWjTpg377rMsJkaVKqVE1A8/WGuKtLQ03Wx59GjjV9BrZ86ccXd3N5lMhiwJ/FdxcXH6RNR6jdNzt3NHdn89wDvs66HfvNXq5L4tpw9smz6k7eWTh5ISYg9tXRkXfe3+Q2TOqVOn9KoIXQ9EH/XpCtouLi5eXl53HJNv3769RYuO7u5x+fKp2bONikKlpqZa2nWyMSKniIyM1EfCYWFhVp3IbDbr7RfTpk3LHQWOH0Fmc/LffzeKiJATJ/yMGvONN94Q6zRkio9XERF3PqgT7rGxqkEDEu45RsmSJUVEX0geN26ciAwdOtSQkYOCgvTqlozXexISEoYNG/bJJ58EBQV99dVXISEhM2fOXLRo0aJFi9asWbNmzZrt27dnLPV+R43o06dP6z1DK1euNCRIe8kNCfcPPvggY8L9nXfesd5cuvOho6Pjg+1vfeWV/zthLVVKNWyoLA2U9u9Xvr5GRvno+fvvv/XBx9NPP23gyfO336oCBZQuuD1ihFq61KiB72/xYiWirFy//U66FHixYsUe8QU1EydOFBE/P8OOge4QGRmpv/D69OmT/dECAwMlQ8V2fbhvswoh2sKFC0WkUqVK+tBfh9SpU6cHGuTWLfXbb+k35s9Xmzer1av/uVK5bp2ybVr4YbFypXJ3VyLqueeUgdvWLb1Ss19oLwt0EaQ6depkaxnOunWqf3/Vp4+iiq5x7ki4L1yoxo1TPXqo7dttMbveIK97YMyZM8eoz+GrV6/qTUv58+dftWqVfnDz5s16e5yXl5eNrznlGu+/r0TUU09ZawuOtmXLFr109NSpU9YYv1u3bnpVoDUGtwgNDRWRkiVLcoEnC84d2b3w077XL546FrH+u3fanz6wbeW0D5VS0VcujOpYenSnsjPf67Rt2Xcx1y5lZ5bFixcXLlxYRMqXL29Jc1+8eFEXXTSZTO+8887di2BiYpS/f3rVha5dVXZWNiclJa1atapv3756X45G8asc5NNPP5UMBR5nzpxZv359Q67kPfPMM/369bt27ZpS6s8//9T7fh7xk7Uc7ezZoRER8tdfHqmphm13tl7C/V81b55+4+ef1dNP22ZOZFeTJk3kdvXXBQsWiMjzzz+f/WFv3LihG14aWKBG03n8ypUr6zZ1OVRuSLi3atXKclxiMpmOWGlf321jxowRERcXl990cujf3Lhx4/+2P0ydqjJm1rp0Uf36qd69VXKySkxUfn5q0SJrhvxIOHLkSNmyZUWkfv36164Zs9rl22/V0KGqRQuVlmbrhPubbyoRZf367f/n+++/N+qTN0dr1KiRiPz000/Wm2Lnzp158+YVkTFjxmRzqEmTJnl4eLz22muXLl36448/RKRUqVI2XvOi/4+FhIQopeLi4vS5YtaWZZnNqkgRJaIuXjQ6yhxr82ZVsKASUa1aqWzu4UlMTNy5c2dISEjjxo11ytsuy6MsFZPnZrlQ1++/Kx8fdfq0On9ede6sMmxgRHYMGqT69lWffqo+/VR5e6tVq9TNm+qPP2wxdVxcnKOjo4uLiy6IrLtMf/rpp4YMnpiY+NJLL+mFq/qTSil1/PjxChUqVKhQYc+ePYbM8kg5fly5uioHB1tcjLFeTtza2XwLs9msl05/9NFHVp0oV7KUlElJSvzqtQaWhHvU6cM/jHplzPOPj/ItNcq31OiOZWa93/nPX6bfjDr3QOPHx8cHBAToE8mM9UAy9ke9Y6v7HRYtUoUKKRH1+OPqQStBJiSosLAVPXv2LFSokOV8tlq1asOHD99t2eWHnODo0aN6q72+MKNXBAYEBGRz2CNHjohI0aJF9b7YoUOHWnt9Iazq999/nz37md2788TGGrl1N2PC/e+//65SpcqDrnx6UGvXqk8+sdEhIgzh7+8vIrpa486dO0WkVq1a2R/2vffe06Umsj/UHVJSUmrXri0iI0aMMHxwm8nxCXez2ZzxAMXSeNeq3n33XRFxd3ffunWr5cHo6OgLFy5YoipevPg/fRH37FENG/7z+t9/V3/8oaZPV506qU6d0kuDR0errPaShnbq1KlKlSqJSL169a5YVsZmyfnzatky9e236ttv1QcfqJAQWyfca9RQIg981J5Nr776qogEBwfbdNaHzOnTp00mU758+azdd2j58uW6RNXsB9yHfOPGjfDw8ODgYH9/f09PT5PJpD/9qlatqr+TBg8ebJ2Q/53uc1iiRAn9f2zy5Mki0jDjJ94DatFCiagcvnvMYLt2qRIllIhq1OjOKor3duvWrYiIiNDQ0ICAAG9vb91DUitQoMCQIUOsFvJ9zJ49W0Ty5ctXuHBhj9ueeOIJr9v+7tVL+fik/3nuOeXnl/6nXz81Y4bq0kXt3Jk+1okT/6y0QfYMGqQmT1ZbtqQ3l7m9HNwW9PXCOnXq6LvNmzcXkVXGRZCWlvbOO++IyMCBAy0Pvv/++yLy3nvvGTXLo6NTJyWiXnvNFnNZqeqLDerVZBQREeHg4ODi4pKxFDgy49yR3V/0rDPn4xdnf/jC3nWLLAl3LTE2ev+GJQvGvTa2S0WdeR/VsfT0t9ttWDIjM/+rd+3apatO5cmTx3IAnJycbKnk3qpVq8w0bTt5Uj31lBJRTk4qMPD+VeDi41VYmPL3VwUKKC+vZ/X3sqenZ2BgYMTd5RuQQ+imSr///ru6nc8qU6ZMNpei602Br93+tNWnuhlTEMhBLl26pFubhoZ+ZezIGRPuuqGXIbnUexg6VImozz+36iQwkt6DPnz4cKXUjRs39IlYNj+gzp07p4/QrPTNtW3bNn3sdOjQIWuMbwM5PuGuLyZbGHhudg9ms1lfICpWrFhUVJR+cPLkyfrtq82bN++iZYmm2XyfI68rV5SXl/LwULdT9siaM2fOVKlSRR+zXnjA/5mpqSoiQgUGKi8vZTIpR0f15Zfq229VbKyqV0+98YbtEu5RUcpkUu7uysYtcHQHHkuV20fT+PHjbbC7XPv2229FxNnZ+d47sC5durRy5cpPPvnkueee03VgM8qXL1/Tpk27d++ul8z37dv3pG0v3bVp00ZExo0bp5RKTU3VZwJLs/Gv5d13lYj65BPDIswdDh9W5curSpXUqFHK8n4ZNerOp12/rtauVRMmqJdfVr6+l3S+wMLR0bF69er+/v59+/YVkcKFCxu1H+i+vv766y+//NLSt2D+/PkioluR/6uTTZqk79K/+0/PnqpxY3XpdvWAlBSV7Urf0O6u4W4zuvGyzimYzWZd2+Gi0Vtdfvnll4zNM5577jkR+fHHH42dJddbt06JqPz5bXfQOmLECL2cwsB2cLoja9myZa3akTUjfe7wwgsv2Ga6R01KUsKR7at//vKtz7o9Mcq31LBX2987ha2Ls+uvoerVq+/fv18/fuTIkXr16sntSu6Zf8slJal331UmkxJRPj5q0iRlWXllaf9886aaN089/7zKkyf9C81kUj16/BIUFMSVmFxg1KhRItK/f399V9fu25a9HkR169aV21WMd+/eLSKPPfYYHZhzIrPZ7OvrKyLNmzc3fIMpCXfcl67WaKnDoY+0L13KVjW21157Tazc2lSftDZr1iyH1tHK8Ql3fdKuValSxWZfP6mpqTVr1mzQoME+XeE7m+LilE4u1KjxYMsXcZdLly7VqFFDRKpWrXru3P13leqOcF27phdt0H/y5VOdO6uxY9W33yql1NKlKm9etXSpsk3tTbsUcD99+rSIFClS5BE/htNnWcuWLbPNdHq7TIECBTJe57h+/XrGNex3Z9i9vb0DAgJCQ0MPHDhgOWJbtWqVk5OTiEydOtU2wSul9u3bZzKZ8ubNe/XqVaXUjz/+qP/pZedd9OOPSiS9gSoyOn1aRUaqVq1UnToqJkYppWrUUJcvqxUr1JgxqksXVaHC/+WlixQxOzs7e3p6+vv7BwcHh4eHZ+wo7uPjI7Za23v27Fnd90Z3F7h161aZMmVEZPLkydeuXTtx2+HDhyNui/7zT7VmTfqfpUvVokXpf6ZPVxs3qq5d/+mie+yYeuYZG/wWjwI7Jtz18bQ+Vzxx4oSIlC5d2tqTPv744yJy+PBha0+Uy7Rpo0RUUJDtZrTUoZo1a5YhA8bExOhlhgsWLDBkwMy4ePGibhlteJ1TZJSSlHh422/D3n7zHkVaoqKiOnToICImk6l///6Wiy6hoaH626pChQpZW0S8dq0qVUoNGqQqVVJduqQ/WLOmmjdPdeigXF3Tv6AdHJS3t5o4UVm5mhFsSrf7LlasmL6yq2ujZedAKzIy0mQy5c+fX5cwHj58uIi88cYbhkUMG5owYYKIFC9ePDObZh4UCXfc19atW0WkQYMG+q7e5PdHNqoCHT582MnJydnZ2aoXjK9du1aiRAkRmTNnjvVmsZ4cn3DX32TapEmTbDm1ToStX7/emOGuXlWenuklAzLkRJAFly9f1rU1KlasGBkZefcTUlJSNm3a9MEHH3TqFKiXoug/np7q3XfV2rXpS8uXLFFLlqS/5LXX1PTpqlgxleWaw5lHAXd70W1jCxQoYLPWHGazuUePHiJSokSJIUOG+Pr66oKhGRUsWLBFixbvvvvuDz/8cPjw4XvksmfMmKFXMf/yyy+2iV8HbyklqS9XzMjYI/rBHTmiRFS5ckbElxu1aqWmTVO6blCNGuqdd/4vyZ43r2rSRL3xhpo5U+3erZKSkv9rnD179ug9esePH7d2zH5+fiLSrVs3fVcX+2vQoEHWL8ysW6datlSnTqkLF1SnTsqaHRceKXv2qAMH0m9v365ub+GzBS8vLxHZsmWLUmrx4sVi/SKB169f19cLH/HLzJl09KiynE9t367GjjWyjXNmzJs3T0RKlix586YBXeb01e4mTZrYeMGUrg5RvXr1jDstYCWWNqTFixe3HFN5eHi89NJL+uy9WLFiYWFh+snR0dGvvPKKfo6fn9+NGzeyPO+lSyo+XtWtqwYOVPpwrGZN1bmzElGOjsrbWwUHq0ysCEKOVK1aNRHZsGGDUmrLli364k2WP2c+//xzEenRo4e+q1uLG5Z8gA1FRES4uLiYTCYrLeoi4Y77unTpkl5eqe/26dOndu3a+sMqazp37mybS4C6EmnRokWzWTXaLnJ8wv3pp5+2rPo05BA8k44dO6bfr0YeMZ87l75A0cfH1ucxuc7169d1I8fy5ctbrrldvnx50aJF/v7+egeNiDg6upQpk+bjo4KD77/GZMyY9GNla19do4C7vegz4VdffdWWkyYkJNSqVato0aKWs8ECBQpkXMP+QMkgvfjF3d09mztYM+PMmTPOzs7Ozs6nT59WSq1evVpnQ7J5ucJsTt9ukr0tbrlWq1bq2jXl46N271Y1aqglS1TLlurdd9W8eerQIZWZLaqWpXy6voG1CyitWbNGvyd1W8KDBw86Ozs7ODhsz2azxY0bVf/+qm9f9euv6tYtlfyflxaQeSNGqHLl0vdyvfaa2rHDRvMmJye7ubk5ODjExMQopT766COxfosk3X+iSZMmVp0l1xg6VHl4KP3h8dJL/1yYsRmz2ayP+YcNG5bNoY4dO+bq6urg4LDT0grCVhITEytXriwi06ZNs/HUj7K0tLTw8PCAgAC9ucrNzc3JyalFixaWjbA7duzQfy/58+e39FXOprp11ZUrqm5dFRuratZU69ap775TOTBXgAfz4Ycfisibb76plEpLSytdurSIZLn/rT6Z/fnnn5VSBw4cyLh8HjlIbGxs1apVRcR6zZNIuCMz9BYuS2/w7Ni2bZtetmJ4+ce7mc3mli1biki/fv2sPZfhcnbCPS0tLX/+/DpF9frrr9tyan3BuWfPngaPe+yYKllSiaiXX75/wx3c082bN5s0aaK3bvXt27dOnTqW9pIi4unp+e67765duzYx8QHSNEFB6fUWp0yxVtgUcLcj3ezINq0gMnrhhRdEpEWLFgsXLszmcmOz2dyrVy8RKVWq1Ckrb1QOCAgQkV69eum7ukRJkBFVBpo1UyI2LWeRg+iE+8GDqmVLVb36A788ODi4SJEie/bsURka3WRnO+G9JSUl6dVe48eP14/oAyYjv7J/+kk99pj6+mvDBnyEjRihXntNvfWWUrZNuOuTw6pVq+q77dq1s6QYrEdv7tZpEdzX0KGqd2+lc912SbgrpXbt2qX35fz6668Hs6FVq1Z2PG376aef9JIdXYoNtpSWlrZlyxaddrcU9jlw4ICzs7OI1K9f/+jRo0bNVbeuUkpNn64+/ljVrGnUqHjYRUREiEiZMmX0chmdBs3Y5i3zzp07ZzKZ3N3d9TqJ0aNH59B8E3r27CkiNWvWtN4WahLuyAyd6zCkwWmLFi1EZOTIkdkfKjOOHDni6upqMpm22HhRarbl7IS7vtKr/fXXX7ac2tvbW0SWWAqOGCgiQhUooETirHYJ9NERGxvbsmXLIkWK6DeJu7u7j49PcHBwdhKREyak59y/+sq4QJVSSp0/r86dU2az+usvFRJi08JCFHBXSv39998iUrhw4STrX+sYMmRInz59dG49Li4uX758JpPJqGanSUlJOqfZrdtKIy5g/7tr167psPVFmr179+oqk9nZhW3x9tt2qKqUU+iEu1Lq/feVm9sDv1wXUnjmdtFzvRSrWbNmhsb4j88++0xEnnjiicTERHW7yn/RokWNzDT98osSUcWKKRvucsuVUlLUiBFq+XLVpo2KiLBpwl3XNLP0XNLFta3d/7l79+4iMtPSzRD3NHSoWrNGtWih/vrLbgl3pVSHDh30+qzsKFq0qJubWzYbhT2QNWvWZFwCVqtWrdKlS+sLn7C9kSNHisjAgQMtj/j7+wcEBBh7+KcT7mlp6plnVI0aBg6Mh52Hh4fcroy8fv16fRSUhXEmTZokIn5+fvpurVq1ROS3334zMlZYX0JCgre3t4uLy99//2158IcfftD7g41Cwh2Z8dxzz4nIpEmTspnzWbZsmYgUK1Ys2jYdDpVSSn388cciUqNGjeQcta3ZIZvHrPa1c+dOfcPHx0f3ybSNqKiobdu2ubq6tm7d2vjRvbxk2bLrpUq1XLNG9zpHluXNm3f58uXbtm378MMP165de/369TVr1gwePFj3ScuaoUPlm2/EZJK335axYw0MVkJCpFkzSUiQGjVk+3Y5dMjIwe9NHw42b97cwSFnfyZkx4IFC0Ska9euLi4uVp0oKSnp+++/nzlzptlsFpFff/01Nja2cePGepNB9rm4uPz8888vvrh90aL2XbpIUpIho95pypQpsbGx7du31/0S9ML2gQMHZuxRlmVeXiIiu3dnf6RcqEMHcXUVERk5Uvr1e+CXf/zxx0WLFt2wYcOvv/4qIh9++GHJkiU3b978yy+/GByoyLlz58aNGycikydPdnV1vXXrlq7e/vnnn2esoZRdnTtLq1Zy9aoEBRk25qMkPl4WL5aOHaVx4/RHJk2St98Ws9l2MezZs0dE6tatKyIXL168dOlSoUKFsvNN/aCTIjNMJgkOlrffFqVsNGNycnKTJk30maGImM3ms2fPxsbGli5d+smsqlq1anx8fFJSku7NKyJHjx7t2LHjihUrrPRbXL16tVu3bk888cTJkydFJC4uLioq6uLFi9HR0VaaEfemtxUuXbpUv69EJDQ0dNKkScYe/jVqJCLi4CBffvnPpyseBc8//7yILFmyRDTmSQ8AAQAASURBVESaNWtWokSJo0ePHjx48EHH0SPot+vx48f3799fqFChZ555xuh4YXUnT55MTk7WRx0iMmXKlB49evTo0SM1NdW+geGREh8ff+TIkTJlygwePDhPnjzVq1fv2bPnpEmT1q5de+XKlcyPk5aWZqn9qFvB28bHH39ctWrVAwcOBAcH22xSA9g7458t+lKeiNisQ6A2ffp0EenYsaP1pvh12TInJye5faESD5vvvlMODkpEZbuU6D9GjlQvvaQ++EAp2+7lVxRwV0rd7kS0du1aa0+kM5teXl76bteuXa3xP//cOVWunBJRL75ofHmqhIQEvQR148aNSqnIyEjdo/zMmTOGjH/okBJRjz9uyGC5UI0aqkYNdflyFl8+ceJEEXnyySd1GdCvv/5aRJ544gnD1wvo9/aLL76o7+rF9dnqlfpfdu9WDg7Kze3+vThwW3y8WrRIdemi3NzSO+46O6uAALV8uVJKffSRKlFC7dhho4XMTZs2ldsVHlauXCkiLVu2tOqMcXFxjo6OLi4uibTMyZyhQ5X+ehwyRJUoYaM3RlBQkP6w0p9O+vC7bNmysdnbAzhixAgRqVevnv4s+uqrr0SkUqVKVnozDBw4UER8fHz0Xd1qxcvL61HeU2h3up7ypk2brDdFs2aqd29F3aBH0B9//CEZeqX27dtXREaPHv1Ag1y6dMnR0dHV1VUvINUfhsYXs4VN6C+vfPny6aJV169fL1++vIgEBgYaNYXtV7h/+umZxo3PfPMNDaBzhpiYmGbNmolIwYIFy5Yte3da+PHHH+/YsePw4cMXLlx4+PDh1P9uCzZr1iz9EWf7Q+jff/9dRNzd3SMjI208dZbl7IS7pSvmPd4Q1tChQwcRmTFjhlVnmTNnjslkMplM33//vVUnQtb8+KNyclItWgRmv3+XUurCBTVypAoLUy1aqAMHbJ1wp4C7PjQpXry4DToRvfzyyyLy+eefK6ViY2Pz5s3r4OBg6dxloL/+Su8++uGHBo88depUnTnVd998800R6d27t1Hjp6Wp/PmViIqKMmrI3CMlRTk5KUfHrHcJTUpK0t3hdGu4lJQUT09PEZliaG8K3Ss1X758+r1t6ZW6w0ofbd27KxH1yitWGTwXSU1V4eGqf39du06JKAcH5e2tgoPV5ctq3Dild6vHxSlPT/Xpp8rBQRl3PvjvzGazXiATFRWllBozZoyIvPvuu1adVCdE6uqiD8iEESOUTk5GR6sqVVSGnfHWcunSpYIFC8rtEgoxMTH6Qu+CBQuyOXJ8fLxOdsyaNUsplZKSorfJTpgwwYC4/9+BAwecnJycnJx06cvTp0/rzhnh4eGGz4XMGzZsmIgEBARYafwjR5SIKlpU0d7yEWQ2m8uVKye3CyWvWrUqC9nPb775RkQ6d+6s7zZo0EBEli1bZni0sA199tegQQNdumrz5s2Ojo4ODg7r1q0zZHx7lJQZajmfxUPuxo0bTz31lIiUKlXqwIEDSqmbN2+Gh4eHhIQEBAR4e3vnzZv3jvy7s7Ozp6env79/UFBQWFiYpQpfQkKCPoKaN2+eXX6Xl156ydi0g7Xl4IR7cnJynjx5JEMrNtu4deuWm5ubg4ODDRryTp48Wb/dV6xYYe25kAVLlx7SfZbeeecdvYrhgcTGqrAw1b+/KldOVaigRo5Uy5ervXuVj4/q3dt2CffIyEh55Au460rWNui9fEfF9h9++EGsWUF7/Xrl4qJEjGzzm5qaqtO1uonFtWvX8ubNazKZDhi64rFpUyWifv/dwCFzichIJaLKlcvWIAsXLhSREiVK6JVTS5cu1RecbhpUBt3SK9VyIK43QVuxQeXZsypPHmUyqZ07rTVFTpaWlhYeHh4QEFC3bmOTyaxT7Z6eKihInT//n6/68sv0vVwDBlgxbXT06FERKXf7Pd2lSxcbHMfrq4avvfaaVWfJrdavV40aKUuN/dOnVffuxq957927d8Z8k94i06RJkywcbt1t3rx5IlKyZEn9GagvEObPn9/wY3tdfHLw4MH6rq4O4e/vb+wseFA7duwQkTJlyhjydrrb2LFKRPEB88h66623ROTDDz9USiUnJ+t2YocPH878CD4+PiIyZ84cpdSZM2dMJlO+fPni4+OtFTGs7MaNG3p924e3l0HpvVZly5Y1pK0RCXf8l8uXL9epU0evSdcN5O6Wmpp6+PDhRYsWDR8+vGPHjv9a57Zs2bLt27fXJ3S1atWyWeLo+PHjt27dstxdsGCBm5vbl19+aZvZsy8HJ9wPHjxoMplcXFyM7L2WCYsXLxaRpk2b2ma6Dz74QETy5MmzefNm28yIB7JixQo3NzcRGTBgQCY/d/buVUFBqnlz5eSUvsBQRJUpo959N30v/+DBqkwZ2yXc9bagLl262Gi+h5LOIFt1c7GmP0CeeuopfbdTp04iMnXqVOvNOHOmElGOjsqQyltxcXGffPKJiFSqVElvLYqNjZ0wYUL//v0NGD2DwYOViPr0U2NHzQ02bFAiKvtfQbr1t6W5vG60+6FBuyF06XZPT09dCEJfWCpRosR167XxVUq9/74SUc2bW3GKHGjbtm1DhgwpXbq05Yi5Q4fd48apEycy9fIlS5S7uxJRrVtbqyut7p/RqVMnfXfKlCnPPffckSNHrDLZbXqPP1X7subll9PrlWlvvZX+DjHQrl27HBwcXFxc9Dvh+PHjrq6uDg4OOw26omY2m3Uhow90Ib/bu1f79etnyPjaL7+sEpFixYrpjz7dL8fd3d3YXnnImooVK4rItm3brDF43bpKRK1caY2xkQNs3LhRRKpUqaLv9uzZU263O8qMq1ev6lKN+qNDVwK09BVHDrV9+3a913PNmjVKqZSUFH0o3qFDh+xf+SPhjn918eJFvYevatWqZ8+ezfwLo6OjIyIiQkND9RL4jP3qCxYsmDHfnZiYaL0m8GazuWHDhiVLltQbhsxms5eXl5W2JFpJDk64K6XatGkjIuPGjbPlpK+88oot/47NZnO/fv30O3v37t22mRQPZNWqVXqzRY8ePf6rIMnNmzd/+umn4cN/L1PmnyS7k5Nq3lwFBSldykWvcFdKxcSoMmXUzz8rb29lg/pUvXr1EpFJkyZZfaaHlaWejOWSSVpa2vvvv79r1y7D58pYsT06OtrNzc3R0dGyS8tKRo5UIipfPhUR8cCvvXXrVsavW91SrEiRIi1btrTSujBtzhwlorp2td4MOdX33xtTOuXPP/80mUx58uTRlfd3797t4ODg5uZ2Kttl0M+cOaN3Jup9sjExMWXKlBERq5dHu3FDFSt2smzZHatWWXeinODAgQOBgYFPPPGE5fi4fPnyAQEBEQ/+KbBtmypRQomomjWVNfKEuraDgZVMM6NevXoismXLFltOmmucPavy5lUiauNGpZS6fl0VLapEjLmsq5Qym81PP/20iFhK9vn6+opI3759jZlAKZUhp6+L6h47dszYnH5CgqpcOe3pp6dPnz5HKZWamqp7jI8dO9aQ8ZFNb7/9toi89957ho+sN6Llz68SEgwfGzlDWlqaLoGla0ktW7bM0dEx85v8tmzZUqxYsTZt2ui7Oi27ePFia4ULW9GLlkqWLKlP/c6cOaN3P0ybNi2bI5Nwx91Onz6t1xR6enpeuHAhO0OlpaUdO3Zs8eLFlhXuOut16dKlqlWrFitWzEproBctWiQipUuXjouLU0r9+OOPeneavpsj5OyE+9KlS3VnUZvlClNSUooWLSoi1l57lVFqamq3bt1KlixpvWtHyKaNGzfmz59frz7ImHM/ceJEcHCwj4+PTlOWKtVARJUoofz8VGiounHjXmM+/7wSURUqZHYdYpY9/vjjIrJv3z7rTvMQS05ObtWqlYuLyx9//KEf0W0kS5UqddKyZ94Id1Rsnz17toi0atXKwCn+ldmsXn1V1ayptm79p3/X4cPqX5tfxMSoTZtUSMiVV155xdPT09HRMeNuMmdn56pVq+oP3tdee816/TN+/VX9+quKiVFKqT//tNIkOdKoUUpEffyxAUPpyz99+vTRd3V9yezXOtAlQV5++WV995133hHjCkHcW/jMma6urpZ+sI+sqKgoy7/c0qVLv/3229u3b8/OgJGRqlo1JaJKlVIGXog8e/bsl19+Wbx4cRufsyUnJ+vagDH6IwYPTn8Q1amT/j0yebISUR4eypAGWpY9MbrIlaXeSzZPF++mO8Y/99xz+q6xVWt0UZHq1dPLMemKzOXKlctBZ4m525YtW0SkYsWKho/8+edKRPXoYfjAyEn69+8vIqNGjVJKJSYmXrly5YFenpqaqitcXbx40cHBIU+ePNlsFo2HQVpamt5R2q5dO/1F89NPP4mIm5tbNlupkXDHHSIjI/VGLi8vLwOz4fHx8R4eHiLyxRdf6EdatWqV8XTSQCkpKU8++aSITJ8+XSmVnJysrx/oBjw5Rc5OuCulZs+ebTKZHBwcst9DKTPWrl0rItWrV7fBXBklJiZmf9UhrCo8PFy3fWvbtu38+fP79u2rF3VqTk5OzZs3DwoK2rcvs40Ob95UTZooEfXYY8aXRrWggLumD1OKFi2qr6UlJyfruqtPPvmkgUUw7qjY3q5dO8tXiLUlJ6tbt1S3bqplS6UzCU2aqOhopZSKiVHh4So4WPn7K0/P9JLNRYqkWd66umVKcHBweHi4Lh+5bt06fYWpU6dOCdZZwfXkk8ryxV2zpjVmyKl691Yi6rvvDBjqxIkTekWn3j518uRJNzc3k8mUhUXQFklJSS+88EL+/PnPnz+vlDpw4ICzs7Ojo6NtdmglJyfrNd3ZXyuU07344osDBgzYsGGDUZ/t166pp59WIqpwYbV2bbaS7tevXw8NDfX19bVcFXBycnJ3d//5558NCfW+9Llo1apVbTNdrhQfrx5//J/PotRUVbOmElGZLplwj5Hj9TqAmTNnKit3NL106ZI+cjO8L+ulS+l9iVevVkqpGzdU3bpHvLx8WaP68EhLS9O1tgz/emrUSIkoW32e4SH1+++/i0jNbB/CTpkyRUSef/55Q6KC3Z07d65YsWKW7c5KKV3MwNPTMzuXYzMm3C9evPjRRx8ZXjTv5s2bGa8KkHB/mB06dEh/wTVt2lT3qjHQb7/9JiLu7u56YeLRo0f1+eP69euNnUivVHjiiSf0Oiq9ILJatWo5a1lVjk+4K6U+/fRTve7y119/tfZcugXK8OHDrT0Rcpzvv/++Q4cO+fLl0+VltBIlSvj5+YWGht6492r2/xAbq1q1UiKqZEm1f7/RESulKOB+W2pqaufOnUXEw8Pj8uXLSqno6Gi9+7tZs2aJhqzZ+/+K7devX3dxcXFycoqKijJk8Mzo1k35+ak5c5RSqkkT9c03qkoVZTL9U+ZIRLm6qvr1Vf/+asaMeREREUlJSf861I4dO/R2nxYtWmTzi3zlSnV3Bfi6ddVLL6nwcKVIuP+/Z575J4mTfUOGDBGRli1b6rvvvfee/jvN5rC6TI263Sv1rbfeyuaAmbdkyRIRKV68uOHHl0hKUq+8opo1W+To6JiFzhNxcXGLFi3y9fXVzcb1ki5fX99Zs2bpiuomk8k2hWX0Fx/1cLNp/nylN+3p4v6rVysR1bDhjWz2HR05cqSI1K1bV18r+uqrr0SkUqVKRn0R3+Gzzz6TDA0npk+fLiJly5bN5jr0nj2ViLIcWw0Zkt57w/r7fPAAXn/9dcNP686dUyaTcndX7GR4xFl6pf7999/ZGUcfR1m7kThsaeXKlSaTydXVVV/tS0hIqFmzpogMGjQoy2NmTLgbLi0tLTQ0tGTJkhUrVrQstCLhbpTY2NibhnZJ2rVrl76o06JFi4ztRg3k5+eXcYNgYGCgXpSsD6UMER8fX7ZsWRFZsmSJUurWrVt6ScSyZcuMmsI2ckPCXd3+B+/u7m7tcpx6X8YOm7WzRM7RsWNHERkzZszSpUsbNGjg5eU1ceLE7A8bF6eefTZ9UaE13ncUcLeIi4tr1KiRiDRo0EBv2zx37ly5cuVE5MUXX8z+KtE7KrZ/9913ej+EAaFnWrduavduVbeuunZNNWmivv1WiShnZ+Xpqfz9VXCwCg9/gJKjBw8e1Ns4vLy8snbZYO9e5eOTnui/o+x23brq9GnVsKFKTibh/n88PJSIOnrUmNGuX7+uTwj1As8bN27oQ7TluqFE9sydO1dfd8zaFccs09WfuTRuDWaz+eOPP9bp8g8++CAzlTcSEhLCwsL8/f11ZX8RcXR09Pb2DgkJyXhRJDg42MHBQUT69etn7aUrevHE+PHjrTrLo6BZMyWihg5Nv/vGG0tMJofevXtnecAzZ864u7ubTKbNmzcrpa5du6av7BryifSvkpKSqlSpIiJTpkxRSqWlpdWvX19ERo8eneUxIyKUg4NycUn/oP77b+XsrBwcstJGBVa1bt06vXrOwDFnzjxZtGgaHWigbvdKfeqpp97Kqr59++pWE9btOQ+b0/nxypUr69J2f/31l16xl+X9VfryoTUS7ps2bapbt64+fmvWrJkui6pIuBtnxowZjo6OXl5egYGBERER2Sxqt2PHDn1m16FDByttQ1dKXbx4sVChQiLyyy+/KKUSExOrVq0qIp999plRU4wdO1ZEGjZsqP+HjBo1SkQaNWpkgwqlxsolCXez2dynTx8RKVSoUDYLYN3Drl27RKRMmTI57q8Z1paamqo/dE6fPq1ub3jJfilkLSlJPfecElGFChlfzJoC7hlduHChQoUKIuLr66urk//1118FCxbUqaVsDn5HxXYfHx+xQRvJ/9etmzp6VC1apF5/XTVpok6eVHv3quyktk6ePKlTFdWqVbMsas6MK1dUQIBydEy/mBQU9E/l3/Pn1aVLqm5dpZT67DP15Zck3P+RmppaqVK1evV8EhIMqwE1YcIEvetZv+eDg4MN2a8XExOjNzPOnj3boEgza/v27bof7GlrtPiEUt9//71epf7CCy/oMlN3S01NDQ8P79+/vy7ZISIODg7e3t7BwcF6F9HdFi9erE8427RpY1R19atXr37zzTd37LFo2rSpiKw2ap/II2zXLuXgoAoUMB89elkpdfz4cV2lKss9A7p16yYi3bt313cHDRok1u90snTpUhEpXLiwLnK6ZcsW/QGS5VqO27er2rWV5aihXTslogYONCpeGCY1NbVEiRIicvDgQaPGbN68uaOjy+LFG4waEDmXn5+fXpKZHWXLli1cuPCDloDHQy4xMVFvpLZUvp48ebLOZT3QV48+1goICMifP3/RokVr1Kih+/Qa4vTp63ohs4g8/vjjCxcutPxo586dFStW9PDwsP1Bfu7z8ccf6+5oWsWKFV9//fVff/31vw6w72HTpk266Gu3bt0MXGz+ryZNmiQi5cqV04voN2zYoI+dThjRfvDKlSs6A7Nu3TqlVFRUlD6bCNeb33OUXJJwV0qlpqa+8MILIlK6dGlj+xxa6F2ur7/+ujUGR44WERGhL1Pru7oV4YwZM4waPylJdemiRFTr1rMN2caRlJS0du3aAQMGmEymokWLPuIF3DM6dOhQ4cKFRWTg7ZPj9evX65632Vw1kLFie1RUlJOTk4uLy7Vr1wwIOtN0wl0p1a6dKlVKGVJy49KlS3Xq1BGR8uXLHz58+L7Pj4uLGzt2QsmSZhHl4qLefltZVu3ExamgIJU/v3r11fSEe1KSeuopRaVlizNnzohIqVKlDBwzMTGxYsWKXbp00eunkpOT9UWU559/PigoKCgoaOLEiSG3zZ07d9Ftv/3225rbIm7bu3fviRMnTpw4oYuEeHt72+US9UsvvSQivXr1sv3Uj4i1a9fqy8yNGzfOmEBPS0vT5346jaV5enoGBgZGRkbed9g//vhD91CtVavW2bNnsxyepXyN/vQ2mUyWI0Oz2ayP2slfGOLDD0+WKdPE19dX333//fdF5KmnnsrCP/w7Mt0HDhxwcnJycnIyMH3wX5599lnJUPzqjrx/FqSmpm8XW7FCiagCBdSlS4ZECoPpr6pPPvnEkNEuXbrk6Ojo6upKTTOsWrXKZDI5OTm98847k7IqODi4Vq1aItK+fXsW/OUyBw8edHd3F5EffvhBKWU2m3Xp0Xbt2t33tfHx8UuXLn3llVf0kZim1zU7OzsPHjw4m1si4uJUYKAqWFBVqPCsu7v7sGHDLJVJzp8/7+/vbzKZRMTHxyc7s8AiNjY2LCysf//+eq2SlidPHh8fn6CgoMycXyulfv31V71spXv37jaocp6WlqZrA7z33nv6ke7du4tB2/fffvtt/bmn7+qdqZ06dcr+yLaXexLuSqmkpCTd57By5crZrCD5r/QX3u+//274yMjpvvjiCxHp27evUspsNutEw/Hjxw2cIiVFvfPOJgcHh3z58mW5JcXFixdDQ0P9/Pz0NUMRqVKlyh9//GFgnLnApk2bXF1dRcRSFGjmzJki4ujoqLdNZcEdFdunTZsmIh07djQs6MyxJNyPHVNubsYk3JVSN27c0CtGixQpsm3btv96mtlsXrRokd5U0aLFWl9fdexY+o/S0tSsWap06fTyMt26qdudZdW6dapOHWPizAXCw8N1itPYYe8o+dKpU6eMR/BZU6hQIScnJ+vtObu3kydP6pW22WkAi3s7cOCA/ufs4eFx+PDhAwcODBs2LOOpgs6z607UmXf8+HG9L7VMmTJ79ux5oNfGx8f/9NNPL7zwgqWZirOzc7t27ebMmaMLhSmljhw5IiLlypV7oJHxXy5fvqyPKFatWqWUiomJKVWqlIj8+OOPDzTO3bVc9CH94MGDDY/5bgcPHnRycnJ0dNy/f7+6q7JNliUnq6pVlYgyosQgrGLVqlUiUrt2bUNG0x3eOnfubMhoyLkuX76s17Znv9vz2bNndWUtXfYKucm3334rIgULFtQrEq5cueLr63uPo6b4+Hhdo8+yd9ByrHXw4MFr164FBATotdJFihQJDg7OQtbVbFbz5qmyZZWIMpnUO++ctqx+SEpKCg4O1guoXVxcAgICuLJouLS0tIiIiKCgIG9vb11oUfPw8AgICFizZs1/NVcLCwvT6YsBAwbYbCVlRESEo6Ojk5OTPly/dOmSXrb4008/ZWfYU6dO6ZM43eRAn9M5OjoeOHDAkLBtLFcl3JVS0dHRXl5eIlKrVi1ji52dPHlSfyD+17scjzJfX1+53dDmr7/+EpGyZcsaPktqauprr70mIq6urmFhYZl8lV7MPnToUE9Pz4zpsNq1a3/wwQcbN240PM5cYMGCBQ4ODg4ODosXL9aP6A0u7u7uf2aprM/WrVtLlizZpk0bfbd58+Zijw5I69cry+60jRvV7QSUAeLi4vQS/nz58q1Zs+bfpl5vqQDYoEGDzZv/2RG2bp2qWzc91V6/vtq0ybCoch9dFd2qzR51yTxnZ+fu3bsPGzZs2LBhQ4YM6X9bjx49/G5r06aNj4+Pj49Pq1atvG6rVauWh4eHh4dHt27d7JVt1959992nn356v5X6TUMppdSFCxfq1asnIvoETKtUqdLw4cOzsyr52rVruhB//vz5f/311/s+/x7lay79/7riY8eO6cXLOXSZzMPp888/F5Enn3xS71/Wl6jLly//QNuZo6KiWrRoUb58ed2t9KefftIpA13mxQZ0RV1LB+kRI0YUK1bs559/zs6YX3yhRFS1asrKG7uRdcnJyTpBkHEJYbVq1Spl2qJFiywv1NUC5+je9HhUpaWl6euFzz77rCGZr59//lmf/dn3sArWoHdkNmjQ4B7fmDdu3Fi0aJG/v3++fPnuyLPfvfb577//btu2rX5OtWrVVt3RI+ueIiJU06bpZ2ReXipj9Y6wsDAPDw89rK+vryFlQ3BvUVFR+u894yqovHnz+vr6hoSEWIrpK6V+/PFHfaFl6NChNt4Ko9eeN2zYUH/W6TWFpUqVyk4bWN39omfPnvquXjifnf5A9pXbEu5KqStXrlSrVk1EnnrqqTjjOsRPnDhRRF5++WWjBkSuYSngrmtYG1vA/Q5ms1l/rrm4uNz7PPDuxewZP6MfqNz2o+mzzz4TETc3N13Dx2w2v/rqqyJSvHjxY5aF2Q8iNTVVp34uXrzo6Ojo5uZm+3UBLVsqy7dz27YqEwUeHkBKSoruwevq6qr7iVu88847+h1Yvnz5H374wXIocOSI8vNLP7ArW1aFhCiKG92bzoYPGzbMSuNPnTpVRBwdHTMWasyhuDpuG7du3fLz83vjjTfKlCkTEBAQHh5uyLF+YmLiyy+/LCJOTk7ffPPNvz7HUr6mZMmSd5yC3lG+5ty5c8HBwd7e3noTdLt27dj6YKCkpKQnnnhCRIKDg5VSaWlpffr0ydrF6fPnzyulEhMTK1euLCLTpk0zONb/dv36db2MVG9li4uLy+bCneRkVaaMElErVxoUIqzD399fRIKCgiyPZCyne1/fffedftXVq1ednJycnZ3pb/mICwoKEpESJUpcuHDBqDEHDhyov+AMTG7gYXDjxg3dP2z48OF3/OjatWuhoaGW4niWxQRBQUH3PRX96aefKlasqF/1yiuvZ/KMr2tXJaJKlVLff//PGdm+fWk+PukZ/Fq1amV5nz2yLDk5ef369UOHDn3yySctXz0ODg4NGjQYNWrU8OHD9Vp4650e3kN0dHSZMmVEJCQkRCmVlpb21FNPiciQIUOyNuD+/ft1p2h9UWffvn0ODg5ubm45ty9XLky4K6XOnj1bvnx5EenYsWP2CxhdunRp6dKl+ppeljtHIxfbuXOniFSpUkXfNbyA+x3MZrMua+Xk5HTHEumUlJTw8PBhw4Z5eXnptIJ2311I+FdvvvmmiBQtWlQvH0hOTtZlXqtVq5ad2uu6x8gLL7xgXKSZZdWEu1LKbDYPGTJEZ2xnzpxpeXzt2rV58+YNDAy0tH+Jiop6/fXXq1eP1cVtP/tMWa2Peq7Sr1+/O5JQd1SDyY558+Y5ODiYTCbdaQDIvISEBMN3sJrN5sDAQP0tFhAQcPf4zz//vOVrrnr16mPGjLmjktuVK1e++eabZs2aWbblFihQoGfPnmvXrjU2VISFhYmIUZ39xo0bp/9ObVCENCPds87DwyPR0sX7we3apSxNDZYvV19+aUxssJ5ffvlFRBo0aGB55Pjx48cyzbJ4Qu/tMKR8LXKunTt3uri4mEym5cuXGzhsQkKCrm07YMAAA4fFwyA8PNzJycnBwUEfnFy5ckXn2XV3en1WpTft6WvSmaQrwBQoUKB58x0uLiog4P6lRCMj1YcfKkvT+mvXVECAcnRUzZot0jVqUlNTs/hLwiAnT54MCQnx8/OzbHcoVqyYiIwfP95eIS1cuFAfAeqWTvv373d2dnZ0dNy1a1cWRuvQoYOIvP322/pumzZtJEOZ+JwodybclVJHjhzRdbRfeeWVBz0JTE1NPXDgQGhoaP/+/T09PXXi0mQyDR06lEpVuJsNCrjfTVc4cXR0nD17NovZrSQ1NbVz584iUrFiRb04PTo6umbNmpK98utNmjQRkYx7kG2mZUvVqpXq0EF16KCKFzc+4a7ppT0mk+mLL76wPGhZ8JWQkDB+/Hj9XvXyenfQIJWh4SLuQ1/ysRTZOHHiRJ48efz9/Q8ePJjNkcPCwvSR/eeff57tMAHDzJgxQ78z/fz8Ev7/utzUqVPLly+vl9VnfNzSMdVysurm5ubr6xsaGhprYCEt/D+9h/3111/P5jiXLl3SpYFWr15tSGCZl5qaqr/is3Pi6uOjOnRIv12zpjGBwaoSExMLFChgMpl0t94sa9++fcYF73gE3bp1S2/3effddw0f/MCBA7o9yfz58w0fHPY1atQoESlYsGCjRo0sSwRcXFzat28/c+bM7JRWO3/+fO/eaSaTElGlS6vQUJWZXYjJyeqrr1ShQkpEOTurYcMS2LjzsImLi1uxYsWgQYNmzJhxx85y29NZckuBB721vX79+g96hWbz5s0ikj9/fp2737hxo4gUKlTIZtUFrcGklJJcaseOHa1atYqNjX3zzTd1lY97uHnz5p9//vnnn3/+8ccfO3bsuHXrluVH+fLla9SoUZMmTQICAvQVJCAj8/PPx544cXnkyCpdux44cKBmzZply5Y9e/astecdNWrU6NGjnZycUlNTLQ/Wrl27Xbt2bdu29fb2fqAtsfhX8fHxrVq12rZtW/369Tdu3Jg3b95z585169Zt+vTpNWrUeNDRIiMjV69e/frrr+fJkycqKipv3rzWiPkeWrWSOXOkTBkRkXbtZNo0ub3d0GBTpkwZPHiw2WweNmyYzr9ry5cvHzJkSGRkpIj4+PhMnDhRZzeQSVWrVj169OjBgwd1S4YZM2YMHDgwLS3NwcGhc+fOw4YN0/3iH9Qff/zRunXr+Pj44cOH66o1wMNjzZo1Xbt2jYmJadKkybJlyyxHYikpKZaUuogkJiauWbNm8eLFP//8c1xcnIg4Ojo2bty4Z8+eL730UsYOY7CGv//+u3bt2mazeenSpbrtbdYMHz78p59+6tKly5IlSwwML5PWrVvn4+OTL1++3377rXjx4v/6HAeHCmazy7/+KG9eefVVKVtW2rcXPz+pVUv277dmuDDISy+9tHDhQl9fX90BPguSkpLGjh1rNpsvXrz4X+8c5Hr+/v7z5s2rV6/en3/+aSkDYqCpU6e++eabhQoV2rNnj65DgtzBbDa3bt362rVr+/btc3Nz8/Hx8fPz69y5c8a1dNkRESFDhsjWrSIiXl4yaZJ4e//nk9eulbfflgMHRERatZLgYHnwU148Wk6fPl29evW4uLi1a9fqBKynp+e5c+d+++03vVYsk/7666933nmnefPmH3/8sVKqSZMm27Zt++yzzz744APrBW919s74W9e6det0u95x48bd/dMTJ06EhoYGBAR4eXll7AIsIqVKlfLz8wsODg4PD6cKB+4lNTX9+u+5c0qplKlTo2vW3GGrElrjx48fMWIEi9mtKioqSheT7dChw4Nepz1//nxYWFhgYKCvr6/lBKxRo0ajR4+2UrT3Zu2SMhnNmzdP58IGDRqUlpa2fft2y3msp6fnSoraPjiz2awXNx06dMjyYGRkZEBAgH5cRLy9vcPCwh6oiPbevXt1F4pBgwZZIWrAAPv37y9XrpyIVK5c+ciRIxl/dI+OqZfZPmNbAQEBGdvnZk3RokVdXV3t2JCtU6dOuovmf6laNV63Hrn7T9u2ysdHnTih6tZV0dGscM8xVqxYoRu/Z4enp2f2d3gg55o9e7aI5M2b9+4+lgZ67rnnRKRp06Y2rrgFa4uPj4+MjFy0aJGVtuKZzWrRIlW+vBJRJpPy81OnTqlly9LrzKSlqTVr1NGj//TWqlJF2WMzNnIqvWCrSpUqejfq6tWrs1zuX5cnWbRokYiULl06pzeuyM0r3LVffvmla9euaWlpkyZN6tOnz549e3bt2rV169aNGzdeuXLF8jRnZ+datWp5e3t7eXk1b9788ccft2PMyEkiIqRBA6lSRY4eFRHp2lWWLJGZM+W112wzv17ezmJ2qzp8+LC3t/f169cHDBjw7bff/tfTzGbzsWPHdu/evWvXrl27du3Zsyc6OjrjE0qVKlWvXj1fX1/d+8j2XnlFvvxSdH/B3r1lzBgpW9aK04WFhb344ouJiYnly5c/e/asUqp06dJjxox59dVX77jGicxQSi1cuLB79+4mk6l9+/ajRo3y8vLSP7py5crUqVO//vrr69evi0itWrXefffd7t273/eT4dixY08//fTly5e7d+8+d+5c/l7w0Lpw4ULHjh13795dtGjRX375pUmTJn/88cfixYsXLFgQFRWln+Pp6enn59erV6+KVtq8g3u6efPm/v37+/btm51BGjduPHLkSH2d2y4uXbr0xx9/3GM5Vblyu86e/ffrCs2by6lTsnChrFwpe/fKmjWscM8xjh07NmPGjOyMUKNGDd1/FY+gEydO1KtXLyYmZvbs2b169bLeRDdu3KhTp86ZM2cCAwN1HRIg82Jj5bPPZOJESUyU2rUlKkq6dpXJkyUpSby95dw5uXxZChaUESPkrbfECps0kGslJyfXrVv30KFDo0eP1qWPsyM1NbVWrVp///339OnTdQOzHMzOCX+b+Pbbb00mk6Oj4x2ph9KlS3ft2nXixIl//vkny9iRRRMmKBHVr59SSpnNqkQJJaLstzILVrJ582Y3NzcRyViXXP3/GvaiRYve8QFbqlQpX1/fwMDARYsWHThwwF7B29GmTZsKFixYs2ZNd3f3YcOG0QYjm06cOOHv76+3DphMJl9f34zVq2/duhUcHFz29lWUChUqBAcH32NdwJkzZ/TV5WeffZYvQTz8oqOjdfckFxeXjEUbatSoMXbsWGu3TgEyw8dHXbumzGbl46NKlLB3NACsLzk5WRf069atmw2m27x5s6Ojo4ODw7p162wwHXKfyEj1wgtq2TJVt67q1ElFRKjERFW/vpoyRfXrR28tZNHmzZtNJpOrq2v2d/lMmzZNRKpWrZoLtvLk/hXu2ueff379+vUvvviiatWqTZs21SvZq1evbu+4kPN17CgrVsi8edKjh/z1l9SqJeXKyZkz9g4Lxlu0aNHLL7+slBowYICLi8vu3bv37t0bGxub8TnlypXz8vKqV6+e/u9jjz1mr2gfHlFRUUlJSQ4ODmV08Xhk2+nTpydOnDhz5kxdqNrLyysgIKBHjx6Ojo4ikpycvGDBgqCgoL///ltEihcv/vrrrwcEBBQpUiTjIFeuXHn66aePHDnSpEmT1atX276jAJAFaWlpAQEBBw8e3LRpU/ny5Z977rmePXtatnoAdvf88zJrlhQuLAcPio+PXLxo74AAWNnQoUO//PJLDw+PPXv22KZfyMiRI8eMGVO2bNm9e/fevdwHyKR69WTBAnntNVm9Wpo3l5077R0QcrjevXvPnj27devWq1ev/q/nJCUlxcfHp6am3rp1Syl18+ZNEYmOjjabzXFxccnJyTExMR9++OGVK1d+/vnn559/3nbRW8ejknAXkcTERLPZ7O7ubu9AkIukpUmxYnLzppw7J2XKyNdfS0CA9OwpoaH2jgxWMWHChI8//tjBwSExMVE/UqpUKa/bGjRoQIYdNnP16tUpU6ZMmTLl2rVrIlK5cuU333x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-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x1600>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "10 SE fragments with the most retrosynthetic routes found\n",
-      "legend: number of retrosynthetic routes found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "23 GA fragments with no retrosynthetic route found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x600>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "10 GA fragments with the most retrosynthetic routes found\n",
-      "legend: number of retrosynthetic routes found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "4 B1 fragments with no retrosynthetic route found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "5 B1 fragments with the most retrosynthetic routes found\n",
-      "legend: number of retrosynthetic routes found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "13 B2 fragments with no retrosynthetic route found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x400>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "5 B2 fragments with the most retrosynthetic routes found\n",
-      "legend: number of retrosynthetic routes found\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=2000x200>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Save custom filtered fragment library to /home/katharina/KinFragLib/notebooks/custom_kinfraglib/../../data/fragment_library_custom_filtered/2024-04-10_16-26-18\n"
+      "Comparing ASKCOS children with fragments..\n"
      ]
     }
    ],
@@ -1659,9 +1338,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "46168613-fba1-411a-b93b-793ef5a5acc4",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -1694,6 +1375,8 @@
        "      <th>bool_bb</th>\n",
        "      <th>bool_syba</th>\n",
        "      <th>syba</th>\n",
+       "      <th>retro_count</th>\n",
+       "      <th>bool_retro</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -1709,6 +1392,8 @@
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>30.950959</td>\n",
+       "      <td>704.0</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -1722,45 +1407,53 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>17.682659</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
        "      <td>AP</td>\n",
        "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.488854</td>\n",
+       "      <td>0</td>\n",
        "      <td>1</td>\n",
+       "      <td>0.656515</td>\n",
+       "      <td>0</td>\n",
        "      <td>1</td>\n",
-       "      <td>15.727015</td>\n",
+       "      <td>0.611823</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
        "      <td>AP</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.561340</td>\n",
        "      <td>1</td>\n",
+       "      <td>0.563803</td>\n",
        "      <td>1</td>\n",
-       "      <td>12.789242</td>\n",
+       "      <td>1</td>\n",
+       "      <td>28.754427</td>\n",
+       "      <td>188.0</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
        "      <td>AP</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.723961</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
+       "      <td>0.488854</td>\n",
        "      <td>1</td>\n",
-       "      <td>14.653939</td>\n",
+       "      <td>1</td>\n",
+       "      <td>15.727015</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1774,48 +1467,56 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2854</th>\n",
-       "      <td>Nc1ccon1</td>\n",
+       "      <th>3500</th>\n",
+       "      <td>c1cnoc1</td>\n",
        "      <td>B2</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.490056</td>\n",
+       "      <td>0.447261</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>15.503600</td>\n",
+       "      <td>11.831072</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2855</th>\n",
-       "      <td>c1cnoc1</td>\n",
+       "      <th>3501</th>\n",
+       "      <td>c1ccoc1</td>\n",
        "      <td>B2</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.447261</td>\n",
+       "      <td>0.446031</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>11.831072</td>\n",
+       "      <td>5.852398</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2856</th>\n",
-       "      <td>c1ccoc1</td>\n",
+       "      <th>3502</th>\n",
+       "      <td>CNC</td>\n",
        "      <td>B2</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.446031</td>\n",
+       "      <td>0.398671</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>5.852398</td>\n",
+       "      <td>10.078885</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2857</th>\n",
+       "      <th>3503</th>\n",
        "      <td>c1ccc(N2CCOCC2)nc1</td>\n",
        "      <td>B2</td>\n",
        "      <td>1</td>\n",
@@ -1826,9 +1527,11 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>48.630055</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2858</th>\n",
+       "      <th>3504</th>\n",
        "      <td>Cc1cn(-c2ccccc2)cn1</td>\n",
        "      <td>B2</td>\n",
        "      <td>1</td>\n",
@@ -1839,49 +1542,64 @@
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>32.821614</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2859 rows × 10 columns</p>\n",
+       "<p>3505 rows × 12 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                smiles subpocket  bool_pains  bool_brenk  \\\n",
-       "0                    Nc1c[nH]c2ncccc12        AP           1           1   \n",
-       "1     N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1        AP           1           0   \n",
-       "2                       Cc1cc(N)[nH]n1        AP           1           1   \n",
-       "3                        Nc1ncc(C=O)s1        AP           1           0   \n",
-       "4        COCC(=O)n1cc2[nH]nc(NC=O)c2c1        AP           1           0   \n",
-       "...                                ...       ...         ...         ...   \n",
-       "2854                          Nc1ccon1        B2           1           1   \n",
-       "2855                           c1cnoc1        B2           1           1   \n",
-       "2856                           c1ccoc1        B2           1           1   \n",
-       "2857                c1ccc(N2CCOCC2)nc1        B2           1           1   \n",
-       "2858               Cc1cn(-c2ccccc2)cn1        B2           1           1   \n",
+       "                                   smiles subpocket  bool_pains  bool_brenk  \\\n",
+       "0                       Nc1c[nH]c2ncccc12        AP           1           1   \n",
+       "1        N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1        AP           1           0   \n",
+       "2     CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1        AP           1           0   \n",
+       "3                          Nc1ncnn2cccc12        AP           1           1   \n",
+       "4                          Cc1cc(N)[nH]n1        AP           1           1   \n",
+       "...                                   ...       ...         ...         ...   \n",
+       "3500                              c1cnoc1        B2           1           1   \n",
+       "3501                              c1ccoc1        B2           1           1   \n",
+       "3502                                  CNC        B2           1           1   \n",
+       "3503                   c1ccc(N2CCOCC2)nc1        B2           1           1   \n",
+       "3504                  Cc1cn(-c2ccccc2)cn1        B2           1           1   \n",
+       "\n",
+       "      bool_ro3  bool_qed       qed  bool_bb  bool_syba       syba  \\\n",
+       "0            1         1  0.565900        1          1  30.950959   \n",
+       "1            1         1  0.747185        0          1  17.682659   \n",
+       "2            0         1  0.656515        0          1   0.611823   \n",
+       "3            1         1  0.563803        1          1  28.754427   \n",
+       "4            1         0  0.488854        1          1  15.727015   \n",
+       "...        ...       ...       ...      ...        ...        ...   \n",
+       "3500         1         0  0.447261        1          1  11.831072   \n",
+       "3501         1         0  0.446031        1          1   5.852398   \n",
+       "3502         1         0  0.398671        1          1  10.078885   \n",
+       "3503         1         1  0.616781        0          1  48.630055   \n",
+       "3504         1         1  0.621614        1          1  32.821614   \n",
        "\n",
-       "      bool_ro3  bool_qed       qed  bool_bb  bool_syba       syba  \n",
-       "0            1         1  0.565900        1          1  30.950959  \n",
-       "1            1         1  0.747185        0          1  17.682659  \n",
-       "2            1         0  0.488854        1          1  15.727015  \n",
-       "3            1         1  0.561340        1          1  12.789242  \n",
-       "4            0         1  0.723961        0          1  14.653939  \n",
-       "...        ...       ...       ...      ...        ...        ...  \n",
-       "2854         1         0  0.490056        1          1  15.503600  \n",
-       "2855         1         0  0.447261        1          1  11.831072  \n",
-       "2856         1         0  0.446031        1          1   5.852398  \n",
-       "2857         1         1  0.616781        0          1  48.630055  \n",
-       "2858         1         1  0.621614        1          1  32.821614  \n",
+       "      retro_count  bool_retro  \n",
+       "0           704.0         1.0  \n",
+       "1             NaN         NaN  \n",
+       "2             NaN         NaN  \n",
+       "3           188.0         1.0  \n",
+       "4             NaN         NaN  \n",
+       "...           ...         ...  \n",
+       "3500          NaN         NaN  \n",
+       "3501          NaN         NaN  \n",
+       "3502          NaN         NaN  \n",
+       "3503          NaN         NaN  \n",
+       "3504          0.0         0.0  \n",
        "\n",
-       "[2859 rows x 10 columns]"
+       "[3505 rows x 12 columns]"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "saved_filter_results = pd.read_csv(PATH_DATA_CUSTOM / \"custom_filter_results.csv\")\n",
+    "saved_filter_results = pd.read_csv(PATH_DATA_CUSTOM / \"custom_filter_results.csv\", na_values=[\"\"])\n",
     "saved_filter_results"
    ]
   },
@@ -1907,9 +1625,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "648772ba-e418-4462-b8ee-00f309462c23",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -1917,7 +1637,7 @@
        "dict_keys(['fragment_library', 'pains_df', 'brenk_df', 'mol_df', 'diff_df'])"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1928,9 +1648,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "id": "b093ca98-54e7-476a-a660-4a21561772d4",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [],
    "source": [
     "fragment_library_custom = pipeline_dict[\"fragment_library\"]\n",
@@ -1950,9 +1672,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "id": "d624c2d4-cdfd-4a72-92e9-1d19e2a274bf",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -2008,163 +1732,163 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>0</th>\n",
        "      <td>AP</td>\n",
-       "      <td>c1cnc2ccnn2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>ACTR2</td>\n",
-       "      <td>STKR</td>\n",
-       "      <td>TKL</td>\n",
-       "      <td>3q4t</td>\n",
-       "      <td>TAK</td>\n",
+       "      <td>Nc1c[nH]c2ncccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>5l4q</td>\n",
+       "      <td>LKB</td>\n",
        "      <td>A</td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP SE GA</td>\n",
-       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 na na</td>\n",
-       "      <td>[33*]c1cnc2c([46*])cnn2c1</td>\n",
-       "      <td>10</td>\n",
-       "      <td>[SE, GA]</td>\n",
-       "      <td>[AP=SE, AP=GA]</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
+       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
+       "      <td>[11*]c1cnc2[nH]cc(N[27*])c2c1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>[FP, SE]</td>\n",
+       "      <td>[AP=FP, AP=SE]</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.511376</td>\n",
+       "      <td>0.565900</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>39.622898</td>\n",
+       "      <td>30.950959</td>\n",
        "      <td>1</td>\n",
-       "      <td>152</td>\n",
+       "      <td>704</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>1</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1cc(C2CC2)[nH]n1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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Wpri6OgYGhoqk8m0fwlVKBQzZ84E0LdvXw7Wu1JhrV69+uM2mJqaGrawaOXJ22+/rbZ1zpw5AD7//HNtuoqLi0P763BWrVoF4J133tHet6+++orGPUFBQdpXrGdnZ69atYomzChWVla0olCbCrC6urrhw4cDCAwM7EpaRBs0n3pn2MKSyWQAnnvuObWt//3vfwG88cYb2nRF69nbU+GECRMA7N69W5uumpublfmqiIgIHR5qhJCCggJaU6+cpbawsBg7dmxsbKxmmZaVldGJzlmzZulgVwNyufzs2bMxMTETJ07My8ujwqqsrLzZBoN/FF69ehVAz5491bbSApWgoCBtutKcVXd2dgZQqLb+659UVlaOHj0agLm5eXvP6E5RVFQUGxs7duxY5eukiYkJXahYUlKi9pZz587R6oy1a9d23YGCgoL4+Pjg4GAHlZXBmzdvNuYYS6FQ0HcrtSFFeXk5ADs7uw5ftTRn1YuKimjQ02E/586doy+P7u7uf/zxh/ZfRBuqqqroUn3VVdR06WLb6jHletcffvihs4YUCkV2dnZcXNyUKVMcHR1VH3BeXl5z5sz5+uuvb9y4YczCIoTQd66jR4+qbe3RoweA69eva+6EzuO2l1VPSUkBMH78eM2dfPPNN3Tv0JEjR5aXl2vhu47cvn07OTk5NDSUTkApFRYZGamasKABqJWVVWZmpjbd0pEpNDRU9R2CPhCCg4Pj4+NbDdhGLqx58+YBiIuLU9s6evRoiURy5MgRzZ1ER0cDWLhwodrWZcuWAfjggw/au71VUMXZLjF1dXU0JWZnZ6fUQZ8+fWhKTC6X0/yZm5tbew/NgoKCxMTEiIiIXr16qYrJ1dWViklD3s7IhRUbGwtg/vz5aluLi4u1KeHVnFV/5plnALQ3q1pVVUXLhc3Nzbdv36614/pEmbBwc3NTisPJySkkJOTRRx8FEBAQoFzvWlpampycHBERQZ/aqu9xwcHBsbGxZ86c0SZPa+TCOnz4MH36dKUTDVl1uVxOw7iysrK2refPn+/Tpw8dFX7//feu+KAX5HL58ePHly5dSr1SBvsAfH19Z82a1VZM06dP37x5sw7TSomJiRs3blQrwc2bN2v+GzMAYVVVVQGwtbXVeTJEc1Y9JycHgKenZ9umpKQkKysrAE899ZRa2fELTYnReSoAynLqbt26jR07NioqSsuRiQ0MQFjkQS7g2rVrut2uOauemJgIYOrUqaoXW1paeAmqdCMvL4/Ofc2cOTMrK0sul/PtkbDLZpTQMCJbh0pkAJ2vlrl169b48eOjo6OlUmlUVFR8fLzq+78AGTBgwKhRowCMHDnS399fuesEj/DvgTb4+flBT8J64oknTE1NVbdJVrZ6enra2dn9+eefw4YNS09P79GjR3p6unLcEjg0D1JXV8e3I/cxjMPGLSwszMzMPv3009LS0uDgYNVpEG1QFVZzczONtGhTc3PzhQsXJBLJ0KFDm5ubm5ubMzIyrl69Onz48D179tAdaQ0CGgvW19fz7cgD+H4Wd0x5ebmrq6vq8O7h4fHmm28ePXpUmxIXmlV3cHCgYSzdIvvOnTu0lS4uHTBgACHExcXFysqKEBIfH19fX8/md9I/UVFRACIjI/l25D5CfxS2tLTMnDnzxo0bo0aN+uWXXyIjI318fEpKSuLi4kaPHu3i4hIWFrZ//361p4xQXFxcjh07Fh8fr3aQo4MZrRdQEhERodt6QB4R2qNQ6CPWu+++C8DV1VX1bb9t5Ym1tTWtPOkwWdpqxAoPDwfw2WefEZURyxDZtm0b9LTmTC8IWlgymUwikUil0uPHj6v9QHZ2dlRUlOpujpaWllRhSum0ggorKyuroKCgoKCALqr5/vvvCwoKnJycDFdY33zzDYAQljYN6zzCFVZ+fj6dINuwYUOHH7569Wqr2iZl5Umr2WLVY0jaYrjCSk1NBTB58mS+HbmPJmGVl5e3l24uKSlhdZff+vp6ut/LSy+91Knc8fXr1+Pj4ydOnGhqatpKYXSalgpr3bp1cXFxdJ2xh4dHXFxcXFxct27dDFdYaWlpeLDJmxDQJCxnZ2e1P3RLSwsAHx8f1ry6H/r069evvSdah9y8eVNtbRNd10C7jYmJgcr0tkHHWMeOHQMwatQovh25jxDzWAkJCTt27LCwsNi9ezc9gkYHHB0dw8LCwsLC7ty5Qw+h3Lt3L50WBDBixIgZM2b8/vvv6PLeMgKBvhUaRh6LlxHrwoXr9DdqtZSq69y9ezclJcXe3r7VL6A8CNOgR6yLFy8C8PPz49uR+wgrj3XnDqZO9QgIuLBw4b9nzZql386tra2nTZtGq012794dHh7u6OjIMAwtqzd0hJbHEpCwCMGcObhyBbW1/davX8+qreeffz4hIWHlypUKhWLr1q2s2uIGoU3pdBBjKRQKugdLq4tsuLJuHfbsgb099uyBpSUbFgDA39/fwsKCrocJDw9fuXJlRkbGX3/95evrO2zYMOH8xXcWoY1YHcRYGm7Ub4x17BiRSolEQvbu1WOvHUO3CXnzzTc5tcoCDQ0NAMzMzPh25D6aDsJ0cXGprq7+/vvvW11XKBQvvfSSj4+PXrbpAVBRgaFDUVaG99/HJ5/opUttycnJ8fPzs7GxKSkpUd3DwxCRSqVyuby5uVl1uxve0CA6bt4Km5vJ008TgIweTTq5H4d+oIdvablOX8jQJawC2R2+S8F7WVnZrVu3uqjs99/HL7/A1RW7dqHzhyDpgUWLFuHBvlM8mNcfNH4XSJjVJWEtWLCgX79+9Px33XrYvx/r10MqRXIyVA4u5ZTJkyd7eHjk5ubS5LXhIqgcqe7CUigUdXV1t2/fnj9//rhx465cudLZHq5cQVgYCMHatQgK0tmRriKVSuma2M8//5w3J/SBsDIOGh6THcZYCoUiMTGRnrltaWkZHb2hU9uunD5N3N3J1Knqj/jikvLycjMzM6lU2uFSfSFD59eVEwn8omnEmjJlyowZM9peZxjmlVdemTRpkkQiCQsLu3z5ckRERENDw4EDxM8Pqpvdf/kltm1D23fHwkJs2wYTE5w7hx070Jn6dVZwdXWdMmVKS0tLfHw8z650gfj4+MzMTFphxj/6UujRo78OHNgMEIYhCxYQuic5PTN82LDWr3vJyQQgH36oL+N64MSJEwB69OjB9m5m+qV3794mJiZqm0xNTdWuwuUGvU3pPPPMyPPnpStXQirF1q145BGkpNxvysyE8AeCwMDAoUOHVlVV0Yo5Q4H+L3a2iQP0OVdoYYGPPkJ2Np59FuXlyMgAAG9vDByI//s/lJXp0RQr0Cy8oYfwAkH/k9D9+iEjAwkJiIoCAKkUH3+Mmhq8847eTemZkJAQBweHkydPnj17lm9fDB5WqhskEoSHQ1n4NHUqxo3Dt9/iwAE2rOkNKysrWqtDj90S6Qoclc3ExEAqxVtvoaGBG4M6smjRIoZhkpKSuj6jwCWX1cGvSxwJy88Pb72FK1ewZg03BnXE29t73Lhx9fX1O3fu5NsXbVEoFAPUQdONfMHdNPiqVfjuO0RHIzSUM5u6sGjRooMHD27atGnp0qUmvExedhKJRLJ58+a21+kcKG+wmsywsyMDBvzvn7t3E4BMmSLEPJYSuVzu5eUFgLMja7pCr169GIZR2ySVSj08PDj2RwmnpcnTp2P8eOzZAyEfRcswjJh36Dpc17zHxsLcHAkJHJvtHHPnzrWysjp48CDvIbDhwrWw+vfHO++oPz9cONjb28+cOZMQYtBTh/zCQw3r8uX49lsUFnJvuRMsWrSopqZm8uTJfDtiqLArrJ070XafKUtLyGTIyYGvL6vGdSc3N3f9+vXPPfdcYGBgq6aTJ09u2rRp8uTJwcHBvPjWiuHDh/ft21dtU2BgYKvjTDiFyzeFzEzy9tvkq6+4tKkL9HyU2bNnt23atWsXgOXLl3PvlWHBaYx1+TI2bIBMxqVNEX7gVFgDBwJAXh6XNkX4gVNhDRgAiQT5+ZDLuTQrwgOcCsvaGm5uaGxEcTGXZkV4gOt0w8CBKC1FXh7aeZUREDKZTHlMjZLbt2/z4ozBwXWClFb6X7rEsVldMDU1tWmDubk5334ZBlyPWAYkrPHjx+/YsaPVxaSkpJCQEF78MSzEEUuEFbgWlphxeEjgWlienrCyQnk5VI7fEjFCuBYWw8DHBwDEghTjhoc9SMWn4cMAD2UzD+J3AvC9Z0M7PPXUUyUlJXQfs1ZMnjzZCPb+4wAeRqyAgF8DAkZUVr7BvWktMTMzc3d3pyf5tMLS0tLd3V15rLdIe/AwYvXp062srNjWVs14IGI08DBieXt7SySSwsJCuTgXbbzwICwbGxtnZ+fGxsYy4e8TIqIr/JxM4ePjA6CgoIAX6yIcwI+wvL29IQrLqBGFJcIKfD4KddhoWcRQ4HPEEoVlxPAjLA8PD3Nz84qKirt37/LigAjb8CMshmG8vLwIIYUCXxAtoiu8HYQpxu/GjSgsEVbgTViDBg3y8/Nre/S3iHGg6SBMDjh+/Litra2/vz+PPoiwAc+HjW/ZsiU9PZ1fH0TYgJWymZaWlp9++unChQvLly83MTFZu3Ztc3Oz6gfmzZv36aefvvXWW7179/b29j579qxMJvvwww/ZcEaEF/QvrAMHDvznP/+RSqVFRUXvvfeeiYmJra2tcmvo3NzcjIyMKVOm/P3339OmTTMxMfn1119NTU0feeSR+vp6S/ZOrxfhFv3HWIWFhRYWFtXV1WPGjCkqKjIzM1NtnTt3bu/evVeuXAkgLy9v2bJlCoUiKSlJLPY1MvQfY3l5ebm5ualtKi4uPnz4cHh4OICCgoJXXnnl3Xfffeyxx0JCQu7du6d3T0R4hNPgPT4+fsKECe7u7gAqKiqCgoKCgoIWL17s6OgokCOyRfQFW+mG3NzcVo/C6urqxx9/PDk5mZ4wK2LccDdiJSYm+vv7i6p6SOBIWE1NTTt37pw/fz435kR4R//phqqqqm3bttFj2aKjo93c3ObMmbN3715ra+sxY8bo3ZyIMGFrXaGjo6Pq6VOEkDVr1jAMz4l+Ec7gea5QxFgRhxARVhCFJcIKorBEWEEUlggriMISYQVRWCKsIApLhBVEYYmwgigsEVYQhSXCCqKwRFhBFJYIK/w/3C24zR4Z8oQAAAGeelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAACEgFgbiBkY2BgUgzcLIoAGkGBlhNHHCbA4gmpkFRsPE2SF8ZnQ+TB07A6o8g4EGI4ghCCQkOYCEY0l+rl9pTo6GDIM2NwNQjgmonIGBDaiXgZmVgZmNgY2dgY2DgYMzg4mDO4GTi4GTL4Gbh4GbN4GXL4OJj1+BX4CBX5BBhIkZqJiVk4Obl0/8EcgKKGYQqkmcZL/59wxH0bvyThMMp9v9bZ/s2DNb3ikzf4F9rf1cRzkxGafL9yQc2M9NdbQXV3YKKYlwkLo43VF5tqLTRSVph1TJPscJCqpOt9bssj+4Yp5jo5qq0+xnZ+3FXi1zzM5Wc3I6z2bPyTXHsf+JppP4zT67uQ2THHPVdZyW3NezNzvb5fibW9uJId9xn8j+xY7aZTpOZ8/47JuwYLWj1SRtp4OWwfsL/OY71ksaOFlukdj/6eAUxw/qBk5PRObuNzbuc/y9y9jpjtvn/a+mTnRsszBz6n/StH9Ke7NjiImJkxgAwQ5sXihZMGAAAAIaelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZQ7bxQxEMf7+xSukbDm6UdBcY8IELo7iSS0UZSGSAgK8v3FjL0X2w27W3hmf56dx9/Lf/+8PD3/ets/vfx8fv293wW/vp++vb6F94tPO/PDf55aa/jBALA7B1+Ew93nr5dwfNgfbp7j9fHycB+wBKy2x+6V3T9czzcPhmPAiMIJzKgRiaqtuMaa1Ffveyl8CRCpKjtZogjKRgIuJBuJkZSlx0xqwRsJhGkmxb5OkUtJPWYmR4NAzJnyTKrFZCMJO1lzxk4KoM5kMpKikPg3McecfBnEMipYZjK32kXLlmfhQeYlz9IqStDyJIglCXcygSy1V4sJUSlt/dT+XiyjzDSTCA2lXKGXxEiennAELktJiK33qTD2mliBetSccOkTUriEjxCxlNpzFdvWwyKqLKwPylgL5SmQ96LNzOKWSkuvUHrcQoq9sorc4opNde0BqlVmrJqEemlaJW8st3IHmzyudZwybfPKCp2tTMsUMHu+aHqDTS9YS+uDRlVdu1vCB2eBWgxMrteNBUWvAcJ5f3//CfNtz93ltJyNfloO18tpnBa/aRwJN3no3k0Z4nYzDwXbu6BDpm6moUU38xCc7QxlqMrNOklH3DcLpDlokgE6hjgNW5pHp5FiA3kanDSPTOORBuo0BHQQ09RqdHA0EuvmKXNr50a6fftl2Xr3D56V93AaSf+mAAABuXpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWQTWvcMBCG/0qPm+IIzadG9qmEQk8l0NJLyGGz+FCatUO67Sk/vjNeCpF8MdLzvB5G7wOUj49fDw9fHm9OsCzXw+EOt8Pd9r0er+Sa8++Ht8MtpIyoA2hiBhxYUhaAyTliwQFKKkUG5lQJNXDN2eOWoNoWFxGcbnOSqhJcKpfIZ6qBDQUGqKkC0YaRNw5mdcCcWM05JQDh4DggJBbigTFZRZt8NKrGDMlcA3MhnCJlHNgIPe0LW1HHmk1jsilTYPW/HAPTNgQQ60C+kEr12ViFYm1/PW84Q6QxNvC0igbNCDphIrPt7QUdc/ZqsEzkGCFwLQUCcwbxNPta0Z/+Xw/iMVhqZAnQ4t2ZTJx6CxBhkozxxKJQbobjZT3fv64vY07n9fn7evlxfJ6X05zAye8/Ty/r6dd8Sd8++3Ve/v58XZfzvFzSchzhnf9079f3XkZsNXaaWk2NBh659dx7ab30XluvvS+tL7231lvrZaytr72H3NWTd4m+QNglug4Bd4muRqBdoisSeJfoqgTZJboyYdcmdHVC3+fbP9UdNnFJHpENAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
-       "      <td>ACTR2</td>\n",
-       "      <td>STKR</td>\n",
-       "      <td>TKL</td>\n",
-       "      <td>3soc</td>\n",
-       "      <td>GVD</td>\n",
-       "      <td>A</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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LjAw0NnZuX5qSRsbmyNHjrz33nvbt2/Py8sbOXKkVCqVSqWWlpb0gWrttX64dOnSgQMHTE1NDbsTpNForAYjFrtdIc2YMWPWrVu3bds2TZ3d0KFDp02bduzYsaioqKioqPoNJBKJtHHY2tpSFNVsqcXFxZ988gkhJCgoiF5Eadg0J2Jxx1gAAgICZs2apXrUsQ7Pnz8/ffr0q1evxo0b17lz56KiosLCwqL/UlJSUlFR8fz58+fPnzd4IlNT0zoBT8tx/Ux5Pj4+z549GzJkiJ+fnw4+NudpTsTiSFdIQ1GUJlcB+OKLLwoLC93c3KKjo+vHm6qqKpXJahtO7XF5eXlOTk5jcpQBaN26dW3DlZeXx8TEmJmZhYeHq9IRGDa8j1haiIiIOHHihLm5+YEDB9T2YsbGxh06dKAXQDcGmUymMtzz58+zs7OL1FFYWFhWVlZWVpaZmal6rZ2d3aBBgxwcHHTz2TgP7yOWJrKzs319fQHs3LmzS5cuOnlPOk2ZnZ1dgy3LyspqB7y4uLidO3feuHFDJpNpz7BoOGha9lBdXQ1AJBLVf+j59OnTAMaPH8/ksouWQl8kuru7sy2kBvrWTWhoKNtC9ITGeSyRSGRqaqpUKuVyeZ0q7kesAwcOnDt3zsLC4t///jfbWmpYuXIlgODgYLXrMgwPbTtTaBpLcXyMlZWVRU8/7t69m17sygU8PDwGDBjw7NmzyMhItrXoA23G0hSZuByxCCELFiwoKiqaOHEivWyfI1AURa+72rhx418haDVsLH5FrH379p0/f97Kyiqs/haAbOPp6dmvX7/09PSDtfP/GygNd4U8iljp6el0JxgaGspIiumWIRKJ6PWJGzdurKqqYlsOszQnYnFhdUN9CCGffvppSUnJhx9+6OXlxbYcJKnb/HTatGl9+vRJS0v78ccf9S9Jr2i5YnzvvfcAxMbG1imnY5VEImHuYrUZhIaGAmjfvn1OTg67Sqqrq4cPHy4SiVJSUurXfvfddwAcHBx49whkk2hOxJJIJBRFyeVytQuhWOHp06f02pg9e/Zo35VKD4hEIicnJ6VSqXY9z8yZM3v06PHw4cOjR4/qX5v+0GK6yZMnAzh69Gj9KtpzHEkEqlSSBQuumJi0mjp1KttaasjIyBCLxUZGRg8fPqxfS19YODo6GnDQak7EAjfW+qkIDcX+/cPeeed5qKaNi/ROly5d5syZU11dHRwcXL923rx53bp1u3///smTJ/WvTT8056oQXBq/P3mClSsBwNe3Hf2UPUcICAgwMTGJior6888/61SZmJjQV68bNmwghLChjnGaM0EKwNbWtmfPnqyvJVcqMW8eXr3CjBmYPJldLXXp1q3bjBkzqqurt23bVr92wYIFnTp1unPnzpkzZ/SvTR9o6Sbp21sbN27UV7/cZLZvJwCxtSUFBWxLUUdqaqqxsbGJicmTJ0/q19IPsQ0ePFjvuvRBc+4VcoTHj7FmDQCEhsLSkm016ujVq5eXl5dCoVAbtLy9vceO/TQvL/zcOf1LY5xmdoWso1Ri7lyUlWH2bEyaxLYazQQEBIhEogMHDmRlZdWpMjMzc3X99vHjvkFBrEhjFr5GrO3bkZgIW1vs2MG2FK307dt3ypQpcrlcbdD6/HNYW+P6dVy6pH9pzMLLiPXoEdauBYD9+znaCdZm9erVFEVFRkbm5tb9l2zdGj4+ABAYyIIwRmnYWGqfYWcRpRILFkAmwyef4B//YFtNI+jfv//ixXslknvbtrWqX7t4Mdq3x9WriI/XvzQm0TKwj4+Pd3FxoSjK2dnZ39//4sWLLdmOUFds3kwA0qkTKSxkW0qjuX2bUBRp3Zrk5qqpXb+eAMTVVe+ymKSBbeUiIiIkEonKhVZWVtOmTYuMjMxV+y/EPPfvE4mEUBRhO014k3F315jG/eXLmp3D+b5/Tm0a3q+wvLz84sWL/v7+dOpiFY6OjnoOYwoFeecdAhBvb/2cUJf8/juhKNKmDcnLU1O7Zg0ByLhxepfFGE3bYTUtLS0sLMzT07Nt27Yqh7Vp08bd3T0sLIzpPMr//GdNJ8jPdO5k7FgCkDVr1FQVFJC2bQlA2NtiRsc0c7Px8vLy8+fPL1261N7eXuUwiqLefvvtlStXJiQk6Hy3+UePiKkpoShy8aKO31lvXL1KAGJurn50SG9TOGGC3mUxQ4t2sad5/PgxHcZUyVu6dOnRujVxdydhYSQjo+VnIIQQpZLs2sXvTUcJIa6uBCBqc9Hn55M2bQhADCMztw6MpaKioiImJsbX19fTcxNAVD9OTsTfn8TFkQYHY6WlxN+fBASQOtn0k5KIvz/5808dimWHy5cJQCwtSUmJmlo/PwIQDw+9y2IAXRqrNs+fk8hI4ulJzM1fO6x1azJmDAkJIenp6l+Vm1vTss5OchERBOBxJ1ibkSMJQDZtUlOVk0PMzAhFkf/8R++ydA1TxlKhUJDEROLvT5ydCUW9NlnPnsTbm5w69UZwoo3VqhWRSMgff7wuNyRjXbxIAGJlRUpL1dQuWUIA4uWld1m6hnFj1SYnpyaM0dM29E+rVjVh7MmTGmN99hmxsCBubq9faEjGIoQMHUoAsmOHmqrsbGJmRkQiwtLWtjpDr8ZSUVlJ4uKIvz9xcnrtsLZtSWYmAcjq1TULrQ4dqmlvYMaKjSVff01evVJf+/nnBCALFuhXk65hx1i1ycoi+/eTKVPI3Lk1EWv1alJZSfr2JR071kxZGZixtJOeTjZvVj+65xHabkLrBzs7zJ+Po0cRHv660MQE336L3FwEBLCnjCUqK3HrFvz8UOdh6Z9/xtSpaFxGQfZh31iaGDkSXl749lv8/jvbUvRLYSGOHsW+fdi5843ylBQcPYpXr1iS1US4aywA27ejTRv4+rKtgw2kUgQG4tkztnU0F04by9YW69cjMRHHj7MtRe/4+ECpxJIlbOtoLpw2FoAvv4STE06dYluH3rGzg78/Tp7k62fnurGMjbFnD1qQuJ/HLFuG7t2xZAnKytiW0nS4ZSxjYzg7o05W4mHD8NVXcHaGfjcoYR8zM+zcifR0rF/PtpSmozEdNytYWqq/Bty6FTEx0FFSbT4xYQImTMCOHZgzh20pTYRbEUsTq1Zh7Fioe4DK8Nm5E2Ixli9nW0cT4YexvLxAUQgLw4sXbEvRO927Y9UqREfjl1/YltIU+GEsJydMnIjycnz9NdtS2GDZMjg4gJO7EGuEH8YCEBgIikJoKPLy2Jaid8Ri7NrFtogmYrRu3Tq2NTQKW1v89hvu34dYjNGj2VbDJDIZcnLg5oYePV4X9uwJpRI2NvjwQ7Rpw564RkMR/iT+unEDQ4agXTs8fQqplG01zBAZifbtMX482zpaDG+6QgCDB8PNDSUl+OYbtqUwQ2oqvvgC7u5Ql8mbZ/ApYgG4ehXDh8PcHE+fwsKCbTU6RanE++8jIQEzZ0LdJsM8g08RC8CwYXjvPRQXgzNpbHXGN98gIQG2tgYSj3kWsQDExsLVFVZWePIEtZ7H5jd//IH/+R/IZDh+nNN55BoPzyIWgNGjMWIECgrAma0IW4oqMdOcOQbiKvAxYgG4cAHjxqF9ezx5wo9rb+1s24bly2Fnh3v3DOdql38RC8DYsRg2DPn52LePbSkt5uHDmnR++/YZjqvAU2MBNZsGbN0KTmZIbSyqTnD+fH5kJ2w8fDWWuztcXJCTgwMH2JbSArZswZUr6NTJABdu8HKMRXPiBDw80LkzUlNhasq2mqbz4AEGDoRcjuhojBvHthpdw9eIBeCjjzBgADIzERHBtpSmU1WFOXNQUYGFCw3QVeC1sSiq5nHWTZvAu927g4Nx8ya6dTPATpCGx8YCMGUK+vVDRgZ++IFtKU3h/n1s3FizdNFQF/Lz21giEVasAIBNm+o+kM5ZFArF0qUVFRX49FOMHcu2Gsbgt7EAfPwx7O2RlobDh9mW0jg2b95886bDxIl/GmonWAOrKUl0A52LpndvovOMujrnzp07YrGYoqiYmBi2tTCLIRirqor07v1GPq3GUF5O0tL0ur2FQqFwdnYGsHjxYv2dlSV4PI9Vm/37sXAh+vbFvXsQNa57/+03DB5cc2xpCakUUqmaA6kUUullS0spTdsWLKhYu3bthg0bevTocffu3TYGcI9TKwZiLIUC/frB1RVbtzb2tvT165gxA0VFKCrS1kwiqaioMFP9amJiIq2FpcpxUuns2bOtrKw0vc/t27cHDx5cXV0dGxs7atSoxn4w3mIgxgIQEYHKSkyejNpfbn4+jh/H0KHo31/jCwmpsVdhYd2DoiJUVBRlZXkUFRUVFRUVFha+0pyf6o8//ujdu7faqsrKShcXl+TkZB8fnx0c32FRR3DrEfuW4O+PFy/w22/Yv/91YXo6Pv0U27drMxZFwdISlpbo1UttvRSIU/2iUChUJiuqRWFhoY2NjaZTrF+/Pjk5uWfPnhs2bGjGR+MlLI/xdIe1NRGLCUWRhITXhb//TgCyfTt7sghJSkoyMTERiUQJtZUZOryfx6qNqyt69cJnn0GhYFvKf5HL5XPmzFEoFL6+viNGjGBbjv4wKGOJxdi6FSkpHHoSf+3atffu3bO3tw8yyC3FNWNQxgIwaRLGjMGGDXjyhG0pwI0bN77++muRSLR//3565/a/DoYzeFcRGooBA/D55zh37nVhRAS++eaN2SlNx7pCLpfPnz+/urra39//3Xff1dn78gQDNFafPvjf/0VwMP7v/9C5c01hejru3GnUy+sYzt7+R4Xibp0pK/pY+2RpQEBASkqKg4MDX7Jj6BbDmceyscHQoTh5EgDKy+HoCGNjfP89hg/H9u2YMwfp6a9np2rPVNWevnr5su7bDh8+88qVg2rPaGxsXH+alD4uKCgIDg6mKOrKlSuDBg1i+KNzEQOMWABatcKOHfDweP3AND1T1SCqyVKV4WSyGePHv1V71kp1XFpampeXl6chr1L37t2nTZv213QVDNVYACZNwvjx+PHHpr1KNVlaiw+AD9Q2rqqqqj9Nqjpes2ZNZ1VP/NfDYI0FIDQUjo4oL2fq/Y2Nja2tra2trZk6AZ8xnOmGbt1Q555Kt24IDETPnjA3Z0nTXxjDGbwLcArDiVgCnEIwlgAjCMYSYATBWAKMIBhLgBEEYwkwgmAsAUYQjCXACIKxBBhBMJYAIwjGEmAEwVgCjCAYS4ARBGMJMIJgLAFGEIwlwAiCsQQY4f8BY60q2lNo1h4AAAEkelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAB4ov4GRzUEDSDOzsENoZhjN5pABphkRAhCFCBqqAKGSAcxgYmQwAClhYJTkAJKOJfm5fqU5ORoyDNpACUawBJDAkORmYExgYE1gYMtgYmRKYORIYGLOYGJmSWBhzWBi5VRgY09g58hg4uJkYONmEGFiA0qxMjCysjEwcrCLzwKZCvecxbK1+ySYHO1AnIWZ0/Zne7fvB7HzNjPv339V8gCI3ZtTbf/RXwHMjtr2wt7EZCFYTb7aFPvnezfZgtjq3xfu11Vfbw9ia8hpH/itEgVmW/eoH2CdrgpW36z23753+iqwuEN0vIPG4rlgdu27qP2Mr40dQGwxAJ03Qwf5W/H1AAABgHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2TS0sEMQyA7/srcha2NK+2OXjYh4jIzoK7ehVRUA968v9joq4dodiZQ5L58u6057en+8eXh9f31QLi3GyvXz/g99B24fb8z2tmcMc558UOQoD1xeXVBJvjan2ybPa30/EASIDsPv78ZVfH/e5kQdjAMidmQzXICVuTpi7kr9NdCSZYYsKqXkJIWYs1G5AcZE6KIlphSUkyl4oDUjx5TtYISQPULK2OQqqHxNSw5aKRm9QklwFYPKIXqVWI43OrVEdcjbY9TlFWdQ8ujRsPwBYgpVK5YgRq6sXWAWg/IFZjif6LeMxRbsxf3ZgxF47cTD7UEYhwBpykmYk4SIwqNALJwWUUp5QJyCeFhPNBwm51OJyTnjwupu2fa/B9Mdb7adsvhqcE6usPtfQdh1r7IsUJ7usK1fpSJBz67APXPmFXemSLND6j2bTEXdpsKOI+Nusdwzjz4CjNP8ybnbcW+ul/cXnxCXJKrXxoSzCCAAABJnpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF3QPW8CMQwG4L/SEVCI4q/EuZtY2q1irzrQiKFC5BClnfjx9cFyyej3ie3Im/cCtdSKpZTVB8rmc10AX+4r8qw5swOPBMJuBJ8zUbSACJPMAUhidMEHTZgizZGChui21iWZwY3BZ0VAcVv0EljVjdvgBZglzRkHiskyG5YE5sYgMWdL0EdImZw9jxzVNj+yRGleqWJTn40Y5fkte/QcryIY0KH9BhAfEVEGydYIqqzi1u5wm87763QZgv/5/bpM5XS8+bedlcf6932d6vlYb74eBlj4bm/l0mXAlrFh4IFap965de5dWpfeY+ux99R66l1b195z67n1OMDyfq/7ue4P2F8Quh33f7OnvXFHWkCzAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>15 15 15 15 15 15 15 15 14 14 14 14 14 14 14 5...</td>\n",
-       "      <td>[17*]Nc1cc(C2CC2)[nH]n1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.581756</td>\n",
+       "      <td>0.563803</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>18.524861</td>\n",
+       "      <td>28.754427</td>\n",
        "      <td>1</td>\n",
-       "      <td>72</td>\n",
+       "      <td>188</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5</th>\n",
+       "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1c[nH]c2ncncc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>AKT1</td>\n",
-       "      <td>Akt</td>\n",
-       "      <td>AGC</td>\n",
-       "      <td>3mv5</td>\n",
-       "      <td>XFE</td>\n",
+       "      <td>CNc1ncnc2[nH]ccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAZRklEQVR4nO2de1hVVfrHv+fCRQQUQRDRTBwxIDQ5YAmIQuqIopaXnDC81DOWjqGPljojM5g/S0YfEytnhtE0pswQwyLNC5mOICRgDgiIF9AUQSOLi3gEzuH9/bHxCIcDctn77LOP6/PwR+3L2i/1Ya/LXutdMiICg8E3crEDYJgnTCyGIDCxGILAxGIIAhOLIQhMLIYgMLEYgsDEYggCE4shCEwshiAwsRiCwMRiCAITiyEITCyGIDCxGILAxGIIAhOLIQhMLIYgMLEYgsDEYggCE4shCEwshiAwsRiCwMRiCAITiyEITCyGIDCxGILAxGIIAhOLIQhMLIYgMLEYgsDEYggCE4shCEwshiAwsRiCwMRiCAITiyEITCyGIDCxGILAxGIIglLsAEyCX3755caNG8ePH/f39/f19bWzsxM7IskjYztTVFVVBQcHazSawsJC7oi7u3tgYKDqAT169BA3QinyuIt1//79iRMnpqWlDR48ODQ0NDc3Nzc3t6GhQXeBpaXl8OHD/R/g6empUChEDFgqPNZiNTY2zpkzZ//+/W5ubpmZmQMHDgRQV1eXm5ub/YCioqLGxkbdLba2tr6+vn5+fv7+/qNGjXF3d+vsQy9dQk0NRoyAslkzpLgY9fXw9OTjtzIR6DFm2bJlAHr16pWbm9vWNTU1NWlpaXFxcZGRkV5eXjKZTPefbty4d+3tKTCQoqIoIYFKSjr00JAQAmjTphYHp00jX9/u/TImxuP7xoqNjf3zn/9sbW197NixMWPGdPCuioqKnJwc7mV29+7bJ08GNz/r5gZ//6YfPz84OBgoITQUp07B2hoFBRg0qOng9OkoLcXZs936jUyKx1SsvXv3zp07VyaTJSYmzpo1q8vllJXh7Nmmn8xM3LnT4qyrK1QqqFQICsLo0ejZEwBCQyGT4do1PP00vv666UrzE+txrAq///57KysrAHFxcTwW29hIRUX06acUFUUBAdSjBwEPf5RKGj6cjh2jkBCaNIn27yeADhxoutf8qsLHTqy8vLxevXoBWLNmjaAPamig/HxKSKCoKAoMJCsrAigjo0ksIgoNpYEDqaaGiIkldUpKSvr16wfg5ZdfbmxsbH1BO634bnLvHmVkkFr9UKzCQrK0pJUricxRrMfok86dO3cmT55869atkJCQ3bt3N+/fcRw9etTPz2/x4sUkQLuzRw+MHg1r64dHPD2xYgW2bUNBAe9PE5/HRSy1Wj19+vSioiIfH5/k5GSujdWcs2fPzpo1q6GhoU+fPq2dE4joaPTvj1WrjPM04yL2K9MYaDT02msbATz55JNlZWWtL9BVkREREQarSB7RVYUcBw4QQC4u5lYVPhZivf462ds3jh277sKFC63PVlRUDBs2DEBoaGhdXZ3QweiJRUTh4QQwsaTG+vUEUI8elJ5u4Oy9e/cCAgIAqFSqGq6HJjCtxbp2jWxsmFiS4tNPSSYjhYK+/NLAWY1G88ILLwAYPHhweXm5cUKqrqbWAhcXU1WVcZ5vJMxZrG+/JaWSAPrwQ8MX/OlPfwLg6OhYVFRk3NAecvs2PfUUubqSVitWCIJgtmJlZ5OtLQH0178avuCdd/4PgI2NTWZmpnFD02fIEALo1Clxo+AZ8xSruJhcXAigV14hg528HTto5Mjf+vRxT05ONnp0+qxaRQBFRYkdB6+YoVgVFeThQQCFhVFDg4ELDh5sqiJ3775n9OgMkJ1NgLnVhuYmVm0tjR5NAPn5GWgjE1FWFvXsSQDFxBg7tnZwdyfAcL9VopjVyLtWi4gIZGbC3R0HD8LWVv+C4mJMnYraWrz2GtatEyHCtpgxAwD27xc7Dh4R22zeaGykV18lgJyc6OJFAxf8/DMNHUoATZliuIo0Gq2bfT/8QAANGGC4RShFzEes6GgCyMaGMjIMnK2tpeeeI4D8/enuXaMH94Dbt2nmTPLz0z/e2EiDBhFAYvdQecNMxMrPJ4WClEo6dMjA2fp6mjSJABoyhG7dMnpwzWhooL59CaCCAv1TK1YQ0DSLxgyQUhvrxg2sWYN//7vFwYoKrFkDrRaJidixA5Mn699FhNdfx5Ej6NsXhw/DxcVo8RpAqcT06QCQlKR/ipsgvW8fzGSuuNhmd4IzZwggmaxF7+nCBQLoiy/avKuigoYOJVtbys42QoyP5sgRAujpp/WPNzbSE08QQGfOiBEW30jpjcXh4oLFi9FsSekjcHJCRga+/RZ+fkKG1WFCQ+HoiPx8XLjQ4rhMZlZ9Q+mJFR2NCxewdWsnbnFyQofXdwmOhUVTbdhaIK42TEoyh9pQemJ5eWHxYrzzDq5eFTuUrsIJ1FqsgAAMHIhr18xhHZj0xALwzjuwtcWyZWLH0VXGj0efPsjLQ1FRi+MyGV54ATCL2lCSYjk4YNMmfPPNwwWf0sLCAtOmAcCXX+qfmjWLvL1rL18+aPyo+EWSYgGYNw/jxmHFCtTViR1Kl2irNgwKot9+80hOnvrjjz8aPyoekapYMhk++ADXr+PDD8UOpUtMmIDevZGXh+LiFn8Zcrn8xRdfBLBf4tWhVMUC4OODqCh88onYcXQJS0u8/vr3zs5+SUn6/Vsul0RiYqIYcfGGhMUCsG4d+vUTO4iuEhhYe+vW2aRWY/DBwcGurq4lJSW5ubmiBMYLUhKrV6+m/pQOOzv84x8YP17kDzVdY+LEib169frxxx+Li4ubH5fL5dwSD0nXhlISa9gwpKZixIiHRyorUVWF99/HuHGiRdVlrKyspk6dCuDLVp1Drjbct2+fCGHxhJTEak1sLObNw86dYsfRVTiBWteGY8eOdXZ2vnTp0vnz58WIiwekLZbuG0izLKFSYtKkSfb29jk5OSUlJc2PKxQKqfcNpS2Wnx/c3VFejsxMsUPpElZWVlOmTAGQnJysd0rqfUNpiwXpzxafPXs2DNWGISEhffv2vXjxYoE0sxxJXqzZswFg/36pzggICwuzs7PLzs7+6aefmh9XKBTTp0+HZGtDyYvl749Bg1BaijNnxA6lS1hbW0+ePJmIWvcN23qZSQLJiyWTYeZMwNBkX6nACXT69Gm946GhoU5OTgUFBRf05gRKAcmLBenPjwsLC8vKymr9xlIqldOmTYNEa0Ox50bzgJnNFm/OoUOHAAwYMODcuXNix9I5zOGNZWazxZtz/PhxpVJZXl4+cuTIoKCgpKQkrVYrdlAdQ2yz+SE9nQB68knzWUlMRNu3bwdgYWExc+ZMLjc9gCFDhmzbtq26ulrs6B6BmYjV2EgDBxJgKmu8uk9iYqJcLpfJZAkJCURUU1MTHx//1FNPcXrZ2dlFRUVdvXpV7DDbxEzEIqKoKAJo9Wqx4+CD//73v9bW1gA2b97c/LhWq01NTQ0PD+cShsvl8vDw8NTUVLHibAfzEevUKQJo8GDJ14b5+fkODg4AlixZ0tY1586dW7RokW7r15EjR8bHx6vVamPG2T7mI5ZWS/37E0Bnz4odSjcoLS194oknALz00kvaRyViu337dmxsbP/+/Tm9+vXrFxMTU1FRYZxQ28d8xCKidevSfH3Hr13bRtZRk6eysnL48OEAgoODO/76UavVO3fu9PHx4fQaNmz4okUGko4YGbMS6+TJkwDc3d3FDqQr1NXVPf/88wC8vb1//fXXLpSQmpo6ZcqU4OCPuI3sAgMpJUW0hoFZiaXVal1dXQH873//EzuWzqHVarkPO25ubj/99FN3irpyhaKimtJhAjR0KMXFiZASzKzEIqLFixcDWLt2rdiBdA7d7tR8/UlUVVFcXFMyN4B69aKoKOqesZ3D3MQ6fvw4AA8PD7ED6QSxsbEALC0tv/vuO35L1mopJYXGj2/SS6Gg8HA6fVr/sv37KT6e7rVMIf3113TwIBHR3r0Gsu6mpdHeve092tzE0mg0zs7OAPLy8sSOpUPs3btXLpfL5fJ9+/YJ95ScHIqMJAuLJsNUKkpIeJiIdcQIAzstjBlD48cTETk708KF+gUuWEDOzu090Ry+FTZHWrPFT5w4sWDBgsbGxi1btnBtLIFQqfCf/+D6dcTEwNERZ89i/nw88QTWrcOvvwKArS02bdJPUtIt+PqbMB1SU1MBDBs2TOxAHkFeXl7v3r0BrFq1ypjPVaspIYG8vZveXrt20YgR9NJL5OlJISEPe5HsjaVPSEiIs7Nz+7PFo6Ojt2/fnpWVVSdSUpHS0tLJkydXVlb+4Q9/2LhxozEfbW2NefNw/jwOHcKsWXj5ZQBQKvHBBzhxAp99xs9TlPwUY0pws8V37NiRlJTk7e3d+oJ79+79/e9/12g0AJRKpYeHh+oBo0aNsrS0FDrCO3fuTJgwobS0NCQk5JNPPpHLRfjzlskweXKLXMDjx2P6dLz1FqZMabHcHEBmJpYsaXHkhx8eVT5JdNpluxw7duz3v/+9t7d3fn5+67N3795NSEjIzs7Ozs4uKipqbLYosWfPnr6+vv4PGDJkCO+xqdXqCRMmnD592sfH59SpU1xtKC7PPANvb+zZg2vX4O2NV15BfDyCg2FlhdRUuLjA2hojR7a45dw53L+P27fbLpT/OtwEaGhocHJyAlBYWNj+lTU1NWlpaXFxcZGRkV5eXnrbjNvb2wcGBkZFRSUkJJSUlHQ/MI1GM2PGDAADBgy4ceNG9wvkhREjKCKi6Z83bCC5nLKzu9vGMk+xiOjVV18FsH79+k7dVVlZyXk2e/bsfq0S2bi6uoaHh8fExKSkpPz8889diGrp0qUAHB0dDe5OLRbNxaqro2HDaOxYJlYbHD58GICPj093Crl582ZKSkpMTEx4eDj3CjToWWpq6t0OfDRZv349gB49eqSb2DZfzcUiou++a9o8hollgPr6+j59+nSkNuw4nGerV68ODAy0sbFpLtmOHTvav/ezzz6TyWQKheJLg9tTi4qeWEQ0Zw4B3RLLDHuFHBYWFsOGDSsoKFCpVL6+vrp+X+uGVMfp379///79udxDGo0mPz8/JycnKysrOzt71KhR7dx4+PDhBQsWENHWrVu5NpZJMWAAnJ1bHHn/feTmwtUVAFxd4eCgf4uDQ9PZNuHTfFOC+1TSeuzAxcUlPDx83bp1hw4d6lo7qbNkZ2fb2toCiI6ONsLjuszdu3T5sv4Xwy5jnmKdOHHCysoKwJYtW8rKynTtJGe9P8yW7fE7d+7wHklxcbGLiwuAuXPnNpr2pOmjRwmg55/npzQzFOv8+fPc4JDBOePN2+MOrV7x7u7ukZGRcXFxaWlp97r9x1tRUeHh4QEgLCysQdy9NzvA7t0EUGQkP6WZm1ilpaUDBw4EMGfOnEfOGefaSQkJCVFRUYGBgdzCGB1KpdLLy0vnWV1dXaciqa2tHT16NACVSlVjcHtqE+O99wggvr5bmpVYujnjY8eOvX//fmdvb2ho0HmmUqkUCkVzzywsLFQqFTdYmp+f3761Go2GS0Lk7u5+S9y9NzvMm28SQFu38lOa+YilVqvHjBmDbswZ16Pjg/L5+fnNb2xsbOSGZ52cnC4a3J7aJJk5kwBKTOSnNDMRS6vVcrkV3dzcrl+/LsQjmg/Ku7bqajfvBKxcuRKAjY1NhsHtqU2V0aMJoFOn+CnNTMTSzRnPzc01zhPbGZS3s7NTKBQHuYm90uHJJwmgK1f4Kc0cZjds3LjxL3/5i7W19bFjx8aIseMlEV2+fJmbLpGenl5YWKhUKq9evero6Gj8YLoGEWxscP8+amvR8ptC10uUNp9//rlMJpPL5UlJSWLH0sSkSZPQ7gJ5E+SXXwig3r15K1DaYn3//ffcQGhcXJzYsTyksLDQwsJCoVBIaHljXh4B5OXFW4ESnpp87hzee89Vq5WtXr16mSltt+rp6blkyRKtVrt06VKSSEujrAzAoz7/dQreFDUuJSXUrx8BtGLFDRP8VFJVVcVN50rkq/suMPwOu5NE31h37iAsDLduISQE7703oMuzFYTD3t6em321cuXK2tpascN5NNwb60HeGh6QnlhqNaZNw8WL8PHBgQOwshI7oDZ47bXX/P39S0tLN2/eLHYsj6a8HOC1KpSYWFot5s5FRgYGD8axY3iQmNMUkcvl27Ztk8lkmzZtunbtmtjhPALe21gSE2vZMhw4AEdHfPutBPZWHT16dEREhFqtfvvtt8WO5RFwbyweq0IpNd7XrSOAevQwkNbCZCkvL7e3twdw9OhRsWNpj7CwLcHBiVeuVPJVoGTE+vRTkslIoaDkZLFD6STvvvsuAC8vr/r6erFjMUxjYyM3Zaj7U9B0SEOsQ4dIqSSAPvxQ7FA6T11d3dChQwF8aKrRV1RUAHBwcOCxzPbESklJyczMFD0Xb3Y22doSQH/7m7iBdJ2vvvqK+z9nIpln9cjLy+PeqTyW2Z5Y3BBfNydSdpMrV8jFhQB65RVp59nmPiC+8cYbYgdigCNHjgAYz6324ok2xVKr1QsXLnz66af1JlLa2NgEBgYuX758z549Fy9eFHTUu6KCPDwIoMmTyeSnjD8C7gOiXC7PNr3NM3bv3g0gksdx93bWFVpbW+/atQtAbW3tuXPnzj7gwoULp0+f1m2uZ2dnN3z4cN2qPYPZXdpHo0FNDaysWszW0GpRXQ2NBn37wt4eiYlQSnwFpKen59KlS7du3bp8+fK0tDST+lpQVlYGoD+fgw2dH26oqqrSTdh1d3dvXpRcLv/d76rCwykmhlJS6PbtDhWYlUUADRrUIrPvhQsE0BdfUG0tmWSzpCtUVVVxU0/3tp++0+hwGSX4nSHS3V5haWnpgQMH1q5dO3HixGeeGc0lidP9uLqSzrO2pqFzYgG0Zs3DgzqxzIydO3cCGDBgQEdyPRgNbnE2v0lQeR5uuHmTUlIoJobGj3+YalyXstfLiyIjKS6O0tJI19fkxHrxRVIqSTd/yVzF0mq13GL8v/7VqNtnlJSUfP7551u2bDF4llumlpaWxuMTBRzH0mgoL48+/pjeeINUqocpe7kfS0vy96fly5vEOnKEnnqKgoKaun7mKhYRZWRkyGQya2trXhJutYVuidHs2bO5pdgArKysDK6KGzRoEIDi4mIeAzDeAGl9PeXnU0ICLVpEXl4klxNA/v5NYh0/TocPE0A7dxKZtVhEFBkZCWDGjBk8lqnVavPz8z/++OM//vGPPj4+en15Z2fnqVOnbtiwofUOmkIMu5OII+9VVXTiBB09+lAsInrxRXJ0pIoKMxfr1q1b3AfEI0eOdKecysrK1NRUbqVQn5ZpQ7nRx0WLFnHLHtsZFRJi2J1M4ZNOc7GuXydbW1q0yMzFIiIuU3JnPyBya7Xj4+MNrqHl1jbGxsZ2KvGEEMPuZGr5sQYORHQ01q5FaKjYoQjMihUrdu/eXVhY+M9//jMqKqqdK8vKyrgRRG74UK1W60717NnzmWee4UYQx44dyzWVOosgg1gwgWkzzd9YRFRXR56eNGSImb+xiCglJQWAg4NDW2m6vvnmG70l13K53MvLa+HChfHx8bm5uRqNpvthcMPg/A67k6m9sQBYWuJf/8K4cWLHITxTp04NCws7fPhwdHR0fHx86wucnZ256VyjRo0KDAxUqVQBAQG8LIKtrq7Oy8s7ffp0enr6yZMnnZycBg8e3P1iW8Cvp11A743FERFh/m8sIrp8+bKVlZVcLs/Kymp9tr6+/tKlS7w8qKGhIScn56OPPoqMjORSdjXnzTff5OUpzRF/iX1tLYqK4OEBO7uHB6urcfky3N0NZL80M956660tW7YEBASkp6fz+wGxeeMsIyPj3r17ulPNG2djxozh/3UFE3hjZWZSRIT+Ho1qNUVE0NdfixSTEamuruYaUnv27OlmUfX19Tk5OQY/4wJwdXWdPXu20eY+iS/W3r0EkN5i9OpqAujdd0WKybhwzWc3N7cuJP67efPmvn37uIyEVi2XwnEZvFavXp2SkmL8CYYm13h/DJk/f358fPyZM2diY2M3bNjQ/sU1NTW5ublcu/vMmTPc8CaHQqHw8vJSqVRBQUGBgYGenp6ibP/EwcQSH7lcvn379lGjRm3evHn+/PncBHkdWq22qKiIayqlp6fr7Srl6urKNZWCgoICAgJs+ElBxANMLJNApVJFRkYmJCSsWrXqwIED5eXlOTk5XNM7PT29srJSd6WFhcXIkSO50Yeuzaw0DqYi1vTpaJ7rX+yuqghs3LgxOTn5q6++6tev3+2W+7UNHTr02Weffe6555599tkRI0ZYWFiIFWTHMRWxXn4Zbm4P/7WuDm+9JV40YuDq6rpp06bs7Oxdu3bpJnwHBQWNGzeub9++YkfXeYzcWWgN6xU257fffisoKHhkhnrTx1TeWAyO3r17m8Keq91HYklBGFKBicUQBPHFGjwY8+bpb5tuYYF58zB8uEgxMbqN+B+hGWaJ+G8shlnCxGIIAhOLIQhMLIYgMLEYgsDEYggCE4shCEwshiAwsRiCwMRiCAITiyEITCyGIDCxGILAxGIIAhOLIQhMLIYgMLEYgsDEYggCE4shCEwshiAwsRiCwMRiCAITiyEITCyGIDCxGILAxGIIAhOLIQhMLIYgMLEYgsDEYggCE4shCEwshiAwsRiCwMRiCAITiyEITCyGIDCxGILAxGIIAhOLIQhMLIYgMLEYgvD/s+kRn7djlCMAAAEKelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAG4g5gHiBkY2hwwgzczMyO5gAWIwMrM5aIAYLOwQmhlJBUwAogAuAdfBABZgYmRjSAAyGJm5GRgTGNgzmBiZEpiYM5iY2BKYWRJYWDOYWDkS2NgT2DgymDg4FTi5GESYWBkYmdjY2ZhZWDnYmMT7QNrhjvU/ouKQ17lnP4izJljP4UL/AhsQ+8PdNfa5pfL2IPYzx0T7ahZmBxA7bJ/Y/v4mMTDbR+n0fvbNc8FqbLK32LXG/tsHYku967WflPwUbKb/0779x2+6gMUtQtgPBLxdDhZ3D0k9oPGxAcwWAwCWmDoLjavhGQAAAWZ6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9UstOAzEMvPcr8gNd+ZXEPrLdCiHUrQSFK0IIqb1wQuL3sYtKtiIiu4fYnkw8nsj71/Hl7fh6+hhXKdbDdH/6TL+LppXn4Z/fzNIzA8Bql2KTxu3t3Zw2h5vxktnsn+bDY0JMSH7Gv2vszWG/u2QwbRINuYoopTUOUslEEgxwXu0opdmBlVhzjTJaifIfHDshDpwhE3u5EKmWDk6cDwatZt4kDSAVxTq47HxrGLKqSgA5Y8UesDihC8haTMVbICag3s3VGcF5XAoGtVhRqB2gnqUgqJIFdTVCwA7QokdHYuHKQYlGxD1KhOiSHCoZcxxiROPeIDGsWbMLYirn+wEqlx50O09Xpv7YPO7nqdnsI0nUzIxQm2fiKW7WSKSaAxHWNueo5zZND1JpMxNHWJuMOEIX8iO2hUZ0DDbR5AmMwlLbUknEl8fu+9U3c4Gg0TnsFgUAAAEPelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXdA9T8QwDAbgv8IIUmr5K4nTToiFCd2OGCDqgNC1p6Mw3Y/HYUu25H1sx8rTS6XKtb5uz2+Vt7rR3e1+EogmnMNEgJglhWViINLILRKiIh6RR0m8CoEKs58WBIksRi3Tkgw98zI0k9aZC1NYGGJWtRZo5qItyd6VAgJSiaVY65KI/h5CYjY3n225FOLAgJop+gboe5ppiyRS5v+loiUfQMDCKOEhvB/7+XTdLzPC98/HZa9f6wGPJ7+u2+/ndd/O63aAztQzdRxn7pk7Jp2ldxlde9fe0xx7j2N/6j2NnnvPo1vvNnrpvYxOw/cRDhW3P+vwrLSXPtrhAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAbP0lEQVR4nO2de1hNWRvA33NOnU6ULm4dlyIKp85JU18ad8kz5DaYkJnSh8c1GmaMMa5jZojBMBj6TA3DhBgzZdwKRW6hSBehIhyRLiqm07m93x+7qdRItNfZdVq/5zzzTOvsvde79Wvttfde6108RAQKhW34XAdA0U+oWBQiULEoRKBiUYhAxaIQgYpFIQIVi0IEKhaFCFQsChGoWBQiULEoRKBiUYhAxaIQgYpFIQIVi0IEKhaFCFQsChGoWBQiULEoRKBiUYhAxaIQgYpFIQIVi0IEKhaFCFQsChGoWBQiULEoRKBiUYhAxaIQgYpFIQIVi0IEKhaFCFQsChGoWBQiULEoRKBiUYhAxaIQgYpFIQIVi0IEKhaFCE1arGfPnnEdgt6i/2IhokqlqlaoUCgAYNasWQBQ81tK/eHp95Inp0+f3rVrF5/Pt7OzE4lEd+/eBYALFy589dVXsbGx+fn5FhYWEyZMGDJkCNeR6h2o12RkZKhUKkQcNmwYU5KZmblgwQJEDA8Pnz59emxsLJfx6S96fins0qVLfHy8v7+/t7c3UxIcHDx16lSlUpmSkvLjjz/GxsZyGqDeoudiAYCrq+vKlSt///13lUqVn5+fm5srkUiEQqG5ufnZs2eXLl3KdYD6iQHXAZDl4sWLMpmsQ4cOGo1Gq9Xu2rXL398fAHJycjZu3Mjn8xMSElq1asV1mHqInotlbm6+dOlSpVI5b948oVBYXFzcv39/APjtt980Gs2oUaOoVYTQ87vCf0Wj0bi7u8vl8sOHD7u7u3Mdjn6i/32smpw6dUoul3ft2rVXr15cx6K3NEWx9uzZAwC+vr48Ho/rWPSWJncplMvl7u7uAoEgMTHR0tKS63D0libXYu3du5fptlOriNK0xFKr1fv37wcAX19frmPRc5qWWFFRUU+fPrWzs3N1deU6Fj2naYnFdNsnT55Mu+2kaUKd9wcPHvTu3VsoFF6/ft3MzIzrcPScd2+xtm/ffuXKFRZDIc3evXu1Wu3o0aOpVTqgNrHOnj373//+d9q0adeuXQOAiIiImTNnTp069fHjxxMmTLhz587Zs2cDAwN1FWq9UKlUBw8eBIBPPvmE61gaPXK5vLi4+A0b1TKk5tChQwqFIi8vb/To0Xfu3PHz81Or1cxXhYWFkydP/uKLL5jRTg2fiIiIkSNHjhgxgutAGgelpaXPnz9//vx5WVkZU6JQKEpKShAxPz9/7dq1iYmJRUVFtRxBsHLlytc5J5FIDAwMCgoKYmNjDQ0N1Wp1TExMTk6OTCYLDQ0dNGjQ/fv3ra2tG8V73Dlz5pw4cWLu3Llubm5cx9II+Oabb86cOXPz5k1zc3OxWKxSqaZMmXLw4MFhw4YFBgZmZ2dnZmZev3590KBBrz1E7eaq1epp06bFx8dv2bLl22+/LSoqWrJkSVRUlFarRcTt27fv3LmTpT8SgmRkZPB4PGNj44KCAq5jaRzMmDGjaoO0efPmI0eOjB07FhEzMzMXLVo0Z84cpVJZyxFq62MVFRUFBAR4e3u7ubnZ2toaGxu3aNFCLBaXlJTweLz79++vXr16+fLlzAWR/b8a9tixYwci+vj4WFhYcB1L48DU1HT9+vX+/v6JiYlZWVlJSUnDhw9nvkpISJg5c+aAAQPkcnktR6jtccO4ceNevnxpY2MjEonWr18/f/58pVJpaGi4fv16Y2NjAPjrr78CAwNLS0vd3NxCQkJatmzJ7umxglKp7NixY25ubnx8PL0OvhVPnz79/PPPS0tLBw8e3L59+40bN4aGhtra2tZp53q2mSkpKa6urmKx+P33379z5049j0aCsLAwAJDJZFwH0mjQarV//PGHQqGIiYkJDAw8evRoZGRkRETEgAEDMjMz63gQFmbpPHnyZNiwYWKx2M7OLjo6uv4HZJcBAwYAwPbt27kOpDFx9OjRwMDAtWvXvnz5kinRarU//PBD3Y/AzvQvhUIxe/ZssVjcoUOHn3/+mZVjskJ6ejqPxzMxMan93pjyRm7cuNG9e/eDBw/WcXt23hUaGRlt3bp1yZIlWq122bJlDac7HxwcjIg+Pj4tWrTgOpZGzKNHj/z8/IqKipKSkuq6D7teR0REdO7cWSwWT5gwgfNGQqFQtG7dGgCuXr3KbSSNmhcvXnh4eIjF4okTJ9b9eTj7M6ETEhKcnJyY7vzdu3dZP37dYcYyODk5cRhDY0ej0fj7+4vF4n79+r1VS0Fkir1cLvf09BSLxT169Lhw4QKJKupC37594Z+rIeXd+Oabb5jf4717995qR1K5G16+fDllypQ+ffo0b95869athGqphbS0NNptrycHDhwQi8XW1tbnz59/230JJgXRaDQrVqxgenKffvppxQtsHaBWq/38/ABgxowZOqtUz4iPj7exsRGLxb/++us77E4828y+ffuYx/QffPDB8+fPyVWk0WhSUlKCg4O9vb0tLS0NDQ1NTU0jIyPJ1ajHPHjwQCqVisXir7/++t2OoIs0RhcvXmzbti0A2Nvb3759m8UjazSaxMTEjRs3jho1ytzcvOrdLjOa74MPPmCxuiZCSUkJcxs4adKkd77O6Cg/1sOHD52dnQGgZcuWMTEx9TxaZmYm0zJVezspFou9vb2Dg4Pv3bv37NkzZjzPvn372DiDpoJarf7kk0/EYvGgQYOYAVjvhu4Sr5WUlIwePRoAhEJhaGjo2+5eF5mq7fLzzz8DQNu2belombrz6aefDh482NnZ+W1vA6uh04x+Wq22ojs/b968Nzazb5QpKyur9uo8PDwAYPr06ayeB2totdiqFaanV5bs3o1eXpiQgBYW+NNPleWDB+OBA8TjCQ4OBgAjI6NLly7V81AcpIoMCQkRCoUAMHTo0Jrd+QqZqg1MraNM1bh9+7ZIJOLxeHFxcayeBDtoNAiAKSmVJTt24PvvY3w8Ghlhq1b4+HF5uZsbvtPN2Vtw7tw55vfCyuBNbnKQnj9/vk2bNgAglUrv3bv3RpnqPlpDLpdXK1m+fDkAdOvWTaFQsH0e9aUWsdq0wdmzceLE8nLSYmVlZTH/+F9++SUrB+QsuW1GRkaPHj0AoNqoTmtraz8/v9DQ0Lq3THK5nMlU26lTJ6FQWDHSg0GhUDAVffvttwTOo14wYu3Zg3Fx5Z+FCyvFystDS0s8eRKRsFhFRUUODg4A4OXlxdbjRi6zJj9//rxLly5mZmaWlpZMy5RS9Y+3VrKyskJDQ319fTt27FjVyzZt2ty8ebPaxrGxsTwez8jIKL1qd6YBwIjl5oYDB5Z/7O0rxULEHTuwa1csLS0Xy98ffXxw9WqMjMSsLNRqWYhBrVZ7eXkBQM+ePetzG1gNjtNxM9M8zpw5U5eNK1qmzp07V5WpdevWI0aMCAoKunbtmvY1/9iTJ08GgIEDB75uA06o/VLIbODmht99Vy6WuTkCVH5MTdHFBX19MSgIIyMxJ+ddYpgzZw4AWFlZZWdns3NWiIjIcQ7SgoICqHE1rEpOTs758+dPnTp16tSprKysinJTU9NevXp5enp6eno6Ozvz+W8YWLZhw4Zjx47Fxsbu3bu3EaWa4fPhp5/A0xMsLQERoqMhORlSUsr/m5MDCQmQkFC5vZUVSKXQv//udu00MplMIpE0a9asluOHhIRs27ZNJBL98ccf1tbWbIbOoqTvAHMy1f5WHj9+zLRMEomkaqimpqaenp5My6TRaN62rl27dgFAy5Ytc3Nz2TuDevHGFoth9mwE+Jc+VmEhxsVhcDDOm4eentiqVXlLZmvbveIfTSwWjxgxYtGiRbt377527VrVO5ioqCgDAwMej7d3717WT41jsUxNTQGguLi4aqFMJmNLpmp4enoCwJQpU+p5HLbQanHAAKz6JDIiAmfNwvR0/OijysLCQvTywrpMJ7h3D48cwaCgdT4+PlKp1NDQsFo7IhKJ3nvvPT8/v4ULFzJvvZYtW8b6eSEil9lmVCqVkZGRQCBQKpVV8wotX7785s2bgwYNGjhwoFQqfeNlru7cvXtXJpOVlZWdOnWKeXba0Fi9GmJiIDwcWJkBqVarHzx4kJqampCQkJaWlpqamp6ertVqmW87dOjg7u4eHh5OJKkTCVvryNOnTwGgTdVGnzyrVq0CAHt7+9LSUl3WWxcOH0Y+H/n88kcMJCguLr506dL//ve/uXPnZmZmVns0wyJcipWeng4A3bp102WlZWVlTNdt5cqVuqz3jVy/js2bIwB+/z3XobABl2JdvHgRANzd3XVc77lz53g8nlAoTEtL03HVryMnBzt2RAD09+c6FJbgMlVkYWEhAOg+e3G/fv2YBcBmzpyJDSChoUIBY8bAw4fQty/s2MF1NCzBpVhvfIhFjrVr17Zt2/bcuXPMMwgOQYSpU+HyZejUCQ4fBiMjbsNhjabYYjGVbtiwAQA+//zz3Nxc3QdQwapVEBYGpqZw5Ai0bs1hICzDpVhKZSsbm8GtW9twUvvHH388fPjwgoKChQsXchIAAPz+O3z9NQgEEBYGjo5cRUEGDvt3gYEIgG+TaYJl7t2717x5cwDgJJdJQgI2a4YAuHmz7isnDreXQgAADlce6dSp05IlSwBg1qxZzLr2OkMul8+fv9DUVDtjBsybp8uadQWHUo8YgQDI7QQtlUrl5OQEAEuXLtVZpS9fvnzvvfcAYNy4ubXmW2zEcClWnz4IgG8/yZZlLl++zOfzhUJh3UeD1QetVjtx4kQAsLW1ffbsmQ5q5AQuxerRAwEwNZXDEMqZOXMmAEil0sTExIoE1IRgljdv0aKFbjzmCi5fQovF8OQJ5OSAlRVXIZTz8OFDe3v7tm3bZmdnGxgYWFtbSyQSFxcXBwcHiUTSo0cPtl6EHzx4cMKECXw+PzIykhm3qa9wKZZIBGVloFBw/FSQGZsbHR1tZWVlZmaWkZGh0WiqbmBiYiKRSGQymaOjo6Ojo0wma/1OT5yuXbs2YMCAv//+e9u2bbNnz2Yp/AYKZ2K9fAkmJtC8Obx4wUn9lQQEBGzbts3Kyio+Pt7a2lqlUt25c4cZZMKMNmGmblbdxcLCQiKRMO2Zi4tLz549TUxMaq/l8ePHbm5ucrk8ICBgy5YtJE+oQcCZWI8eQceO0KEDPHzISf3lhISETJs2TSQSxcTEvG5F+6KiooyMjArPkpKSnj17Vm0bsVhccel0cHBwdHQ0qtIOv3jxom/fvklJSUOGDDl27JiBAccjwnUAZ2LdvAlOTiCTQd2zWrJOdHS0l5eXRqPZs2fPxx9/XPcds7OzU1JSUlJSkpOTU1JSbt26pVQqq25gZGTEGCaVSh0dHbds2XLixIlu3bpdvny5WvISvYWru4bYWATAAQO4qh/T09OZ99/1H5urUqkyMzMjIyNXrFjh7e0tkUiqdfbNzMzMzMy4TZypYzgT6/BhBMAxY7ipPT8/397eHgDGjh1bcyh9YWHhhg0boqKict5tRhViSUlJfHz8zp07AwMDZTIZj8dzc3Ord9SNCc4uhYmJsHs3SKUwbZquq1apVMOGDTt9+rSzs3NcXBzzurAqsbGxFetamZubOzg4VHSenJ2d33Zll6KiIrFYXFZWlp2d3aFDB3bOoeFDztkvvnjlqXpGBvr5oVqN3t64e3dleXDwKz/qgFmzZgGAWCx+8ODBv26QnJw8a9as/v371xwrxuPxOnfuPHLkyMWLF+/bty85Obn2RbAYvL29AWDdunVsn0rDhaBYUilWna8WH4/GxqhUIgC2aIEVv9MZM/Czz8hFUZ1NmzYBgEgkunz5cl22LygoiIuL27Rp0/Tp0/v06VNz/qeBgYGtre2IESNWrFgRHh6ekpJS89oaGRkJAA4ODgROqIHCjViTJuGHH5aX61KsEydOMFM0w8LC3u0IKpXq1q1b4eHhy5YtGzt2bNeuXWs+lLeysqo2kV+lUjHJMq9fv87GeTQCuHmgsmwZeHhAZCSMGqW7StPT0ydOnKhWq1euXOnj4/NuBzEwMOjevXv37t2ZqxsAKJXKu3fvVkzcS0tLs7S0rDZTz8DAYPz48Vu2bNmzZ0/Pnj3reyaNAnLOSqVoYIBCYfnH0LCyxXr0CH/5BW1s8MULHbVYeXl5Xbt2BYCPPvqIdF6Qv//+u2bhlStXAKBNmzaNZRXtekJ2oN8vv0BpafknLu6VryZPhs6dYc2a8h9jY+Gvv+DVd3SsoVKpvL29MzIyXFxcdu/eTWTibxWY9OPV+M9//uPo6JibmxsdHU209gYCWbF4PODzyz/Vfps8Hvz4I/z4I2RnAwAsWwYjR4K1NXz5ZXkJiwQEBMTExLRr1y4iIqL27CtEmTRpEgAwK/zoP+Qaw1o6748elRcuWIAAuGABrluHdnblyVIEAhw9Go8exXonAUFE/P777wHA2Nj4ypUrLByuHjx69EggEIhEIqILKTQQOBaruBjbt6/sY127htOno0hUblj79rhoEdYnH9jx48cFAgGPx9u/f/+7H4U9mEwkISEhXAdCHIJi1ewi17HT/OQJBgVhly6VDZinJ4aH49tmx0xNTWUy9Xz33Xdvtycxdu3a1b2785Qph7gOhDgc58eqBY0GT57EcePQ0LDcME/Pq2vWrHny5Eldds/Ly+vSpQsAjB8/vuGkhywu1jZrhjwe3r/PdSiEabhiVZCTg0FBaGuLffr4AoBQKPT29o6Ojq5FF6VSyawx7urq+q83/xwyaRICYMPL4MwyjUAsBo0GT5yIHjNmTMUoOTs7u3Xr1v1r3sdp06YBgI2NTR2bN11y/DgCoJ0d13EQptGIVUFOTk5QUFBF4uSaDdiaNWsAwMTE5MaNG9yG+q9oNNi+PQJgfDzXoZCk8YnFoNFooqOjvb29qzZgQUFBYWFhAoGAz+f/+eefXMf4Wj77DAEwIIDrOEjSWMWq4OHDhytWrKgY58SsBrN27Vqu46qN5GQEwJYtkfAURi7hcvoXi2g0mqNHj27evDkpKQkR8/LySL+3qSdOTnDzJkRE6PQ1vC7hMikIiwgEglGjRkVHRzdr1qygoODChQsVX5WWloaGhs6fP5/D8GrCrGGgz293uG4yWWbx4sXw6gKFJSUlJiYmPB7vrdajI83jxygQoFCIeXlch0IGPWmxKmCWMzlw4EBpaSlTYmJiMnr0aEQMCwvjNLRXEIvB0xOUSjh0iOtQyKBvYvXo0cPV1bWoqOjo0aMVhYxtu3fvxobUodTvq6G+iQX/aFR1dMqQIUPat29/9+7dq1evchdXdcaMgaFDYepUruMggx6K5ePjY2hoeOzYMWblCwDg8/nMWOQGNRbq6lVQq8HVtbJk/HhITuYuIFbRQ7Fat249dOhQtVodHh5eUejv7w8AYWFhZWVlnEX2Kk+fQkwMzJwJ/6xtA+fOwfPnnMbEHnooFvzb1dDBwcHJyamgoODEiRPcxVUdJyd48QJCQriOgwD6KdbIkSPNzc2vXr2amppaUejn5ycW/ycmhoP1Cl6HQACbNsGXXwKnqeaJoJ9iiUQiZnpW1UcMkybNyc+/smNH/4IC7iKrwaBBMGQIcJdqnhT6KRYA+Pn5CQTChATzih6MlZWRhweUlUGVrleDYNMmiIioPoupsaO3YvXp08fFpeTkyYVnz1YWNsxHR1ZWsHw5fPYZNKSnbPVFb8Xi8XhDhwrhVY3GjAEzM7h4EW7f1lEYGg3k5795s3nzQKnUq56W3ooFAL6+wOPBwYPw8mV5ibExjB0LAKCztzuffQY9e0JiYvXysjIQCsHUtPxHAwPYuhUsLEB/kkhy/bKSLL17IwD+9ltlyZkzCICdOtV1ylB9CAlBABQKMTb2lfItW1Aq1fP5FHou1vbtCIBDh1aWaLXYqRMC4LlzZKs+dw6FQgTAnTtfKY+KQgMD5PHwwAGyAXCLnotVUIBGRsjnV06RRcSvvkIAXL6cYL2ZmdiqFQLg4sWvlKeno4UF8dobAnouFiKOG4cAuH59ZcmjR0h0mkVRETo4IAB++OErWQLy88vTCIwdy072gIaM/ov1558IgI6OOqpOrUYvLwTAnj2xpKSyXKlEDw8EQGdnfPFCR8FwiP6LpVSWX5WSknRR3aJFW2xslFZWWC2/6cyZCIBiMT58qIswOEf/xULEgAAEwM8/J17R1q1bAUAsdoyPV1Qt37gRAdDYWM/nElalSYgVH48A2LYtEk2mFxUVxSQ43Vs1yQ7iiRPlt4H79hGsvaHRJMRCRCcn9PZGcutOVqxzsfzV+720NDQ3RwBctYpU1Q2TJiFWURGuXo0JCZUlhw6xeVXKz8+3s7ODGutc5ObmDh/+g6mp1sdHF89jGxRNQqzsbARAe3tU/NPzGTUK2crmr1QqBw8eDADOzs4vqtzvlZWV9evXDwA+/HBRaSk7dTUi9PldYTWsrWHdOvYPu2zZstOnT7dr1+7IkSNVV08JCAiIi4tr167d1q1zRSL2623ocG22LmBarORkbN4c09MRWW2x5HJ5//79r169WrVw7dq1AGBsbFytvOmgJ7kbaufBA7CxAY0GFiyAW7fg5EkYPRr69gU3NwAAqRQsLdms7vjx4yNHjtRqtfv37x8/fjybh2486M0ojTqxahV07145+firr+DiRQAACwuQSMDFBRwcQCIBZ2eosSJYXUlLS/Px8dFoNGvWrGmyVgG3i43rjIoWi8+HsDBYuhTs7WHwYMjJgQsXIC2t+rrUAgF06QIyGTg6gqMjyGTPbW1NBQLBGyvKy8vr1atXVlaWr6/vr7/+Sup8GgNNTiwA8PCAuDhYvbpyCsPjx5CWBqmpkJBQ/j8KReXu7u4fJSRE2tnZVawu7uDg0Llz52qZkhQKhYeHx6VLl3r37n3mzJmqa0I3QZrWpZBhxw6QyV4padcO2rUDT8/yH5VKuHULUlMhORmSk6GgoFClUqWlpaWlpVXsYmlpKZPJHB0dmVWfHRwcAgICLl26ZGNjc/jw4SZuFTSRFkuphORkcHGpLElPBwsLaNu2rkcoLi5mlhZnVhdPTk4uqDGJjM/nN2/e/MKFC1KplKXAGzFNQiwSFBYWpqamVqwmd+PGjZUrV0okEi8vL65DaxBQsdhBo9EAQF06+E0EKhaFCE3olQ5Fl1CxKESgYlGIQMWiEIGKRSECFYtCBCoWhQhULAoRqFgUIlCxKESgYlGIQMWiEIGKRSECFYtCBCoWhQhULAoRqFgUIlCxKESgYlGIQMWiEIGKRSECFYtCBCoWhQhULAoRqFgUIlCxKESgYlGIQMWiEIGKRSECFYtCBCoWhQhULAoRqFgUIlCxKESgYlGIQMWiEIGKRSECFYtCBCoWhQj/B1yMT9xB9GCwAAABTXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAA+IOYH4gZGNgcNIM3Mwu5gAaIZmRECYBrIzwDTjAgBiAJ0mp0BrJCJkY0hAchgYmIw0GAEMhjNgIQkB5BwLMnP9SvNydGQYdCGSUrhk1TFJsnNwJjAwJ7BxMiUwMScwcTElsDMksDCmsHEypHAxp7AxpHBxMGpwMnFwMXNwMPAwM7LIMLEysDIxMbOxszCysHGJL4JZDY8KJrcNQ6sZA+zB3E+XNY7ECOsuR/Ebm9bvf+e/hwwO1wjeP8ZB40DIHaljLr9l2MWYLbXvnP29R73wGpeRh7c57y8by+IXRU6bX/tgZlgM9+d7rEXur18H4j97y+zg/fcILC4UX+Sw+oWATB7jvAEh/3tt8Fs81eFBx4ZPwOzp8TJ7n/zQdUBxBYDAGnNVH5rFalhAAABr3pUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1TPYsbQQzt/StUBzzoczRTpPDHEULwGmLn2hDCwV1zVSB/P5KNPXt4yewWkvY9SaOn1Ze/rz9/v/56e9+uIM/3/be3P3A/vF9FHP/z9t7hWRBxdYA0YPv05esEu/Nme4vsjj+m8wlIgSw48XzEbs7Hwy1CsIM1l8pdqgKWJhUtDbycQWWYEuhCtVVYY6kV1XgBKZmSiiiiSlrMyEQLSM2cUZO1iV7baN1sAWmRM0oau7cEtuYUyR+BNVJSqWTUOGu7VGu+APTsEou4V+lpYe11sXa73odctcVICyPRYsoeQCqpkMslN3tbbJIwuuSoyFE+h87stAhMeaSYRM4IF6sx8iV1iOETaDFk6dmjk2HDGRAOm9Pps+mdIEFYS3HvnTEZvam1BwbXO0OTESKQevTAxTo3eawhfmM8TfsPu3bdvu1x2o/ti2aBx46l28YiRRmQsS2aobES6foQPr/bkDccqENDDUQfSmkg2kyP9Pts7BQYmo+XEkU0mx9dcDybD13C94DlZSI+n8f89unf/tuwV/8AKWXHVfE5JycAAAFZelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicZZC9bgIxEIRfJSVBxvL+20cVRYlSRUgpEQU5UUQRd4iQVDx89q7CpvPONx6Pd4u63PXQL7Zky91jj/3i/Xkr7OehH3rcDm87eLguVhTNSsEA0UpmDesVRsVCGlLMpEnYJYhgzNlNmACKKykqsCEHjFIw0yyRmVIJfkpaVCSsIaZSik0SoWV2HzpEylM8ooErFIXc5Yooi2euOUpCT/JSIClPOQoCOXgTIxVv4AUEzVzCmLMBzw0yciYO8x9ykbk6cUo83URMCPMHjUDnnqrJXwyPYX8Zj5vzeOpS/Pn9PI399+ESP158PAx/X+dxOB6GSxz2Hdzwp42Ptxy4w5pjzbWjG/668bHJ5/o+t/lSc2m51lwrLp3V2CrMXa7b5bZdqa+X9nVIzXrSnaNd4N0GoVkh4J2DGgc1jus/ihrgZZwtGAIAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>ACK</td>\n",
+       "      <td>Ack</td>\n",
+       "      <td>TK</td>\n",
+       "      <td>4ewh</td>\n",
+       "      <td>T77</td>\n",
+       "      <td></td>\n",
        "      <td>B</td>\n",
-       "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 8 8 8 8 na</td>\n",
-       "      <td>[8*]c1ncnc2[nH]cc(C)c12</td>\n",
-       "      <td>2</td>\n",
-       "      <td>[FP]</td>\n",
-       "      <td>[AP=FP]</td>\n",
+       "      <td>14 14 14 14 14 14 14 14 14 16 14 5 5 4 4 4 na ...</td>\n",
+       "      <td>[26*]c1[nH]c2ncnc(NC[54*])c2c1[37*]</td>\n",
+       "      <td>11</td>\n",
+       "      <td>[FP, SE, FP]</td>\n",
+       "      <td>[AP=FP, AP=SE, AP=FP]</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.587513</td>\n",
+       "      <td>0.633912</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>18.452049</td>\n",
+       "      <td>38.386371</td>\n",
        "      <td>1</td>\n",
-       "      <td>64</td>\n",
+       "      <td>2</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7</th>\n",
+       "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>c1ncc2cc[nH]c2n1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>AKT1</td>\n",
-       "      <td>Akt</td>\n",
-       "      <td>AGC</td>\n",
-       "      <td>3ocb</td>\n",
-       "      <td>XM1</td>\n",
-       "      <td></td>\n",
+       "      <td>c1cnc2ccnn2c1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>ACTR2</td>\n",
+       "      <td>STKR</td>\n",
+       "      <td>TKL</td>\n",
+       "      <td>3q4t</td>\n",
+       "      <td>TAK</td>\n",
+       "      <td>A</td>\n",
        "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP FP</td>\n",
-       "      <td>14 14 14 14 14 14 14 14 14 14 14 14 14 na</td>\n",
-       "      <td>[18*]c1ncnc2[nH]ccc12</td>\n",
-       "      <td>18</td>\n",
-       "      <td>[FP]</td>\n",
-       "      <td>[AP=FP]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP SE GA</td>\n",
+       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 na na</td>\n",
+       "      <td>[33*]c1cnc2c([46*])cnn2c1</td>\n",
+       "      <td>11</td>\n",
+       "      <td>[SE, GA]</td>\n",
+       "      <td>[AP=SE, AP=GA]</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.560736</td>\n",
+       "      <td>0.511376</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>30.638320</td>\n",
+       "      <td>39.622898</td>\n",
        "      <td>1</td>\n",
-       "      <td>66</td>\n",
+       "      <td>2870</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8</th>\n",
+       "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>c1ccc2ncncc2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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j/H5j5hTKxBTnXdC4Otr/8FPZmw0NGoMixcv/vrrrx0dHT/99NMsxnzA5eXlAHr37t1eA9OmIz76CImJ0GhMusjesGNhAZg7d663t3d+fn5UVBRDs46/BIbbXf/+RCYjf/hD2+OnTxOZjMTHG32HtSPq6+ulUqkAEzNZE61WSzPYXLt2rb02TI/C+nrU1uKzz1BY+D/H1WrU1qK52ZQfgr1w4sQJjUYTHh5Ol6B0Tq5cuVJdXe3v79+nT5/22nTgY3l4wMEBv/89BJI8nHfs+zloJMak9e9AWN7eWLQIJ05gyxY2LbNdRGHBuC+h47fCxET4+mLlSty9y5plNopGo8nPzwcwsnO/GBszo9WxsGQyrFqF2losW8aaZTZKUVFRQ0NDcHCwfia+zkZdXd2lS5dcXFxouvL2MCqO9bvfISwM27fj559Zss42sY+5ZwsxsiCXUcKSSvGPfzzy4h8+ZMlAG0R0sGD0l2Bs5H3ECMyfj9JSrF9vqWW2iygssC4sAElJ8PXFJ5/g3j2LLLNRbt++XVFR4eXlpZ/9sbOhVqtPnz4tkUg6fH0xQVg+PkhKQl0dPvnEMutsE+pgjRw5UiqV8m0LbxQWFjY2Nvbr149uxmfAtEnoefMwciTy8y0wzWYRn4Mw5UswTVgODti0CbqNdIRg/XqoVKYbaIOIwgJ3wgIweDDi4x/9+8MP8fbbePFFNDSY2o2N0dLSUlhYKJVKhw0bxrctfGLCr8uSWe6LF8mTTxKAhIeTu3ct6UnoHDlyBECY3WdmYoS5IFcbLCo2PmgQcnPRrx/OnMHYsbhxw5LOBI34HASQm5sLYOTIkbos0QxYWsW+Vy8cO4Znn8WlSxgzBqWlFvYnUERhwcQvwVJhAfD3xy+/YMwY/PorRo3CqVOWd2lVaKkfhgaEkJMnT6LTC8u0GS22HsBNTY82FXp6kkOH2OqVQ/QLT549e5ahZUlJCYBudp+ZiRHmglyPw5qwCCGtrWTOHAIQFxfS0c5HflCr1Tk5Oe+9915wcLDup+Xu7v79998zXLVlyxYAsbGxVrNTgDAX5HocNnM7OTpi2zbIZEhOxiuv4KuvMH8+i92bT0tLS3Z29v79+9PT0ysrK+lBHx+fF198MSYmJjo6Wr8GzuOIDhbM+BK4UHdSEgGIREI62vnILWwVnqR1dU/ZfWYmRpgLcj0OJ8IihKxbRxwcCEDYLqXRMewWnrx3755EInFzc3tg35mZGNEV5GJOpqUPV8IihGzfThwdCUDi4wl7pTQMw1x40pJCyBkZGQDG2n1mJkaKi4sBtFeQyyAc5s984w088QRefRX/+Afq6vDNN3ByYnkIlUqVm5ubkZGRlpZ2584delAul0+cOFGhUEybNs3Ly8vCIYzZkWL30C+BJtMyEm4Ts8bE4OBBvPQSvv8e9fVIS4ObGwvdKpXKAwcO7N+//6effmr4zzxl7969o6KiFApFdHS0k8US1kl227Ztjo6O+l5aJ8Sc1xfu7p86CgqInx8JDb3/wgvT6urqzO6nrKyMOk/6ugkJCWGxand1dfU333wzffp0Dw8P3RASicTV1XWf3Wf9ap/+/fsDON1eRS5DWENYhJCLFzUDBw4HEBYWVlVVZdK1BQUFK1eu1HeeXFxcoqOjN2zYYInzpM/169cNSnbFihVHjx41PneUXVJdXS2RSDw8PEyqQWwlYRFCKioqBgwYAKBPnz5Xr141/kJaWxqATCajVbstue3pU1xcnJiYGB4erhOTVCqltVLbvP4YnzvK/ti7dy+A8ePHm3SV9YRFCFEqlcOHDwcQGBhofNXkAwcOJCQk/Pzzz6zUgFCpVLTQfPfu3XV68vDwUCgUzJI1PneUnbFixQoAH3zwgUlXWVVYhJCGhobIyEh6+zlx4oTVxq2pqdm1a1dcXJz+e2LPnj1poXkjY1Tbt2+nz8pFixaxWIxU4NCXwQ6rabbB2sIihKhUqhkzZtD7RGZmJqdjlZeXb9q0SaFQODs7t3Gejh07Zkxa6TboipHOnDnTJJ/DRnn48KGbm5tEIlEarMjVPjwIixCiVqvnzZsHwNnZOS0tjfX+i4uLk5KSRo8eLZFI9J2npKSkDmu7d8iRI0fobW/KlClN7WX5tRfy8vLoT9HUC/kRFiFEq9UuXbqU/sk3b95seYdqtfrYsWMJCQk9evTQ3Zzc3d2p81RbW2v5EDoKCgpo5rHhw4eb+lO2LT7//HMAb775pqkX8iYsiu5ta82aNeb10NjYmJ6eHhcXR0saU/z8/OLi4tLT09kqnf04JSUlPXv2BBAaGspW1EOA/OY3vwGwdetWUy/kWViEkPXr15vxtlVRUfG489SnT5+EhATznCcz0AVQgoKCTAqg2BCBgYEAzPAf+BcWIYTW0gCwcOFC5rctBuepw0pDXGBeAEUIPHz4sMPpimvXrgHw9fU144cqCGERvbet1157rc3bFnWeVqxYQScWKG5ubgqFYtOmTZWVlXzZTOErgGIeTU1N1HPw9vZ2dHRkrl62fft2AC+99JIZAwlFWISQnJwc6idNnDixoaGBfgULFizQTxPg6+sbFxe3a9euxsZGvu39L9YMoJjHzZs3N2zYMGnSJP2kViEhIefOnWO4atGiRQCMLyWnj4CERQg5c+YMlVFgYGCbr2DlypUnT54UbFhSrVbPnz+fuwCKeeg2jOg8B92ax4sXL3Z4+TPPPAPgaHsVuRgRlrAIIdeuXZPL5T169DDpKxACWq32vffeYzGAYh46z4G+WLTxHOheN2OgGe2dnJzMi9UJTlhqtZoufiouLubbFnOwPIBiHs3NzdRz8Pf31+nJx8eHeg5G7tnShxYYHzFihHn2CE5YZ86cAdC3b1++DTGfL7/8UhdA4Trwodswor+AjIZdTNow8jiJiYkAli5dat7lghPW2rVrAcyZM4dvQyzC+ACKeejvtm3jPLG15nHChAkAdu/ebd7lghMWXX21ceNGvg2xlP3799MAyrRp01iZANBtGBk0aJDu5sTKhhF9dHuc3N3d/fz8zO5WcMKi8yQXLlzg2xAWOHr0KA2gTJgwgaEYKTPNzc10ARkNglPkcjld82h2t/poNJrc3Nzly5frRwpdXV1LSkrM7lNYwrp16xYALy8vwYYVTOXChQvdunUDMGzYsHv37pl07datW6dOneru7q77YwcHBy9dujQnJ0etVltuW0tLC4Nk6+vrLelcWMJKTU0FEB0dzbchbHLt2jWaKiIkJOTmzZvGXxgREaEL47HoPN27d4/6+/qJBXr37k3XPLK1yExYwnrnnXcAfPzxx3wbwjK3b98ePHgwgKCgIONLlO/cuXPjxo1sOU+6PU66DeKsS1YfYQlr6NChALKzs/k2hH1qampobvSAgIDCwkKrjfv4hhFHR0e6YeTGjRvcjSsgYTU3Nzs7O0ulUlYcUgHS2NhI6+HKZLLjx49zN5DOedLfMML6HidmBCSsX375BcCQIUP4NoRDHjx48PLLLwPw8PA4ePAgu50rlcrHN4z06tXLpA0jbCEgYf35z38GsHjxYr4N4Ra1Wv3mm28CcHZ2Tk1NtbzD69ev0zWPj++2tdqax8cRkLCmTJkCgDm5nn2g1WqXL18OQCqVbtq0ybxOdM5TmzWPj++25QWhCEuXgam8vJxvW6yEbro6MTHRyEtaW1vphpEnn3xSd3PS7bZld8OIhQhFWBcvXkTnSyC7YcMGOtmXkJDA8MzS7bbV3zDStWtXumFEmBnhhCKszZs3A3jllVf4NsTa7Nmzhy5pnD17dpvFCAY3jPDuPBmJUIRFl19+8cUXfBvCA9nZ2XQJ2tSpU1taWjjdbWs1hCIsutwxPz+fb0P4ITc3VyaTAdCfZunSpUtsbOyOHTuYtzwIEwlhLMpgHZRKpZ+fn6ura319veXJ+GyUoqKihISEhoaGGzduREdHx8bGRkVFMRf0FjLcpoo0krNnz4aEhIwbN67TqgrA008/feTIkbt37/r5+ekegraLIIR1+vTpmpoa/fmHTkuHJXFtBRaKNFlOQUEBAN0qERE7gH9htba2nj9/XiKR6M/Ai9g6/AvrwoULLS0tffv2pZF3EfuAf2GJz0G7RCjCokv8ROwGoQhLvGPZGTwL68aNG5WVlTKZTL8ypYgdwLOwTp8+DSAiIsIOQoIi+vAsLJqpQXwO2h88Cys/Px+i526P8Cmspqam0tJSJycnmuBLxJ7gU1hnz55Vq9WhoaFurFQxFBESfApL57nzaIMIR/ApLDGCZcfwJiytVnv27FmIwrJTeBNWaWnp/fv3e/TooZ9DR8Ru4E1YooNl3/AmrIaGBk9PT1FY9gqfmyk0Go1arbbd/QIiDPBwx8rPzx85cmRtba1UKhVVZa+ws5lCpVI9ePBA919PT0+pVNrY2KjRaOgRiUTi5eVVUVHRrVs3X1/f2tpamUymUqmampp8fHxYsUFEULDzKHz//ffT0tJcXV3pf3Nycrp27Tpp0qSysjKamLBr1645OTmvv/56WVlZfHz8li1bpk+fvnXr1tdee+2Pf/yj5QaICA127liVlZXLly+Pj4/XP1hVVbVt2zZaA53yt7/97fz583v27Ll69erDhw83btz41FNPsWKAiNBgx8eqqqrSL+ECQK1WK5XKgIAA/YP+/v7BwcFFRUWrV6/OysoKDQ3VT58iYk+w8ygMCwt74YUXNBpNly5dXn311UGDBlVVVYWFhS1ZsqSysjIgIGDOnDn+/v4qler555+fMWPG+++/P3ny5P79+9MCJyL2BzvC+stf/vLEE08EBgbm5eWlpqb+8MMPffv2/fTTT/v16+fp6blnz56LFy9mZ2f7+vqWlJR0797dy8tL9w/LRxcRIOzHsV5//XW5XL5u3TrdkdbW1mHDhsXHx7/11lvsjiUiWNiPY/n7+zc2NuofcXJyksvlDQ0NrI8lIlhYENbNmzeXLVt29+5dAJcvX87MzBw3btzJkydXr17d0tIC4NChQ5cvXx43bpzlY4nYCiyEG9zc3JRKZXh4uK+vb319/dy5c+Pi4kpLS/Py8gYMGCCXy1Uq1Zo1a4YMGWL5WCK2Ams+Vl1d3d27d7t160azHlKqqqrq6+t79+6tn0VTpDMgiIx+IvYH/1vsRewSUVginCAKS4QTRGGJcIIoLBFOEIUlwgmisEQ4QRSWCCeIwhLhBFFYIpwgCkuEE0RhiXCCKCwRThCFJcIJorBEOEEUlggniMIS4QRRWCKcIApLhBNEYYlwgigsEU74f5WiAXW0dXhIAAABDnpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQABuIOYB4gZGNgcNIM3Mgk6zQ2hmNocMMM2IIYCHwWCgwQhkMZoDCUkOIOFYkp/rV5qToyHDoM3NwJjBxMCawMiUwMiWwMScwcTEmcDMksDCmsHExp7BxM6RwMEJVMHFIMLExsDKwszEyMbGzsHJxCjeBzIU7gcpv237NSTz94M4y08I21zY8HsfiL05Yb3ds64KexD7+E3H/buu/QOzPQx5DkSZHQOzp3YqHjD03mALYi9602tfXXsQbI76RiUH6bsdYHYJp4WDftBJOxD7hu9j+8tPt4D1bvv3YL9svOQBEFsMAETtQFVeT+VrAAABbXpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2SwUoEMQyG7/MUPQs7JGnSNgcPszuLiOwsuKtXES8uoiD4/piMjB2h2M5Akn5Nm/yNn2/vTy+vz5ePoQs+7se7y1f4HTR2Fod/PlUNjxEAukNwI2z3N7dT2J2H7RLZHR+m8ykgBiTbY/MvO5yPhyWCYRc22DMxiYYN9Bqj5hKgh3nUvWSkRxUIHGRFKbEBxhmMljCKGZqhJG1wHCbPkyUTacBeFZRaJ4vfkXpUECgGCheJ3ACTZ6ReiIHI10uCgg0wW0bsEUou7OULYmJqgMVAS8gEiRyEpMStO+oMliySs1evkUAaHMJ8dM5SMJrBGCm1ajH1rvxEa0/O0cuKmtgWKhoOw+l0LbJs2U/jH21/1N4ep7GqzfZTldTdVIVjC8Wqj7u5qsBO1F67i6uWOi+1cebU1GpuDmXVBTZEV8WyMTWbPVz0ieva1pW4v7x5s7tvKSaigT3QGacAAAEgelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicXdCxTsQwDAbgV2EElEa2EydxO7Ewd0AsiKFUHRDX5HQUpnt4HLFc0i3/5z+x+sb8+L7iSmv9KK8Z7673A9rIMUYzkHUSvDOTRp48BTOAFeckJjOBBRAgAKypF+Skk2gRkrI2GDF4M5FlTxBqAkGIa5IiczKg1zsCrq0YOaHRZ9DpM3q588SOdUYipCC6A9S1iESnREDqWmRRgGuPfeL/hMkDaU9bkEDMg1mOss+Xch7B7uX0Uo7X5bTldbOoyffPx7msX9thn2c9bvn381LyvuXD5mXEG3+a9Xjr6EdqnXp3rbvefeu+d26dew+th95j67H31HrqXVqX3hG6HwTdxPUPkZy0acJF2xEAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>AKT1</td>\n",
-       "      <td>Akt</td>\n",
-       "      <td>AGC</td>\n",
-       "      <td>3qkm</td>\n",
-       "      <td>SM9</td>\n",
-       "      <td></td>\n",
+       "      <td>Nc1cc(C2CC2)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATRUlEQVR4nO3de1QTZ/7H8U9CABUpuHiLFVkBNYFyqejRVm294KWYFusuul5Q69a4UqWnrm6WtVt708bWrT1Si3D0tOrRKtbKcdsVF7W2eH5oAa8BpF5KcCWAKKKCEAjP74+hIXIJEfIk0Xxff/SYyZOZCefdmcnMBESMMRBibWJ7rwB5MlFYhAsKi3BBYREuKCzCBYVFuKCwCBcUFuGCwiJcUFiECwqLcEFhES4oLMIFhUW4oLAIFxQW4YLCIlxQWIQLCotwQWERLigswgWFRbigsAgXFBbhgsIiXFBYhAsKi3BBYREuKCzCBYVFuKCwCBcUFuGCwiJcUFiECwqLcEFhES4oLMIFhUW4oLAIFxQW4YLCIlxQWIQLCotwQWERLigswgWFRbigsAgXFBbhgsIiXFBYhAsKi3BBYREuKCzCBYVFuKCwCBcUFuGCwiJcUFiECwqLcEFhES4oLMIFhUW4oLAIFxSWddTVYdYsbNnSPEWjwbx5ALB4MbKyHhq8cCGys226erZHYVlHQwP278fKlcjLa5pSXo5vvwWAQ4fwv/89NDgtDTdu2HoNbYzCsqZp07BsGRiz93o4AArLmtaswZUr+Oore6+HA5DYewUebwYDiopQWIhx4wDA0xPr12P1arz88kPD3n8fSUnND6urbbqSduEsYZ05A7Uay5ZhwoSmKfv24epV/OMfjzCTujpcuYL8fFy7hrw85OejoAA1NQBQUNA0ZuFCbN+OhATMmdP8wqgojBnT/PD06S69l8eCs4Sl02H/fpw5g4sX0b07AOTlISen3fGMQatFYSEuXUJhYdM/SkraGDloEIYOxYMHTQ9FInzxBUaMgEzWPGbECLzySvNDiRP81J3gLf6mXz/07o316/HBBy2far0pKizE/fsth7m5YeBABAUhOBj+/ggKQlgYPD2Bh/duISFYvhzr1/N8Mw7PicISibBpEyZMwNy5kMubJv7zn9i5E8XFbYwfMADDhmHYMMhkkMkwbBgGDYLYsk87776Lffua9pLOyYnCAvDcc/jTnxAXh+PHm6Y8eIDiYri6wtf3oU1RaCieeuoR5iyRQKmEt3fTQ09PbN+Of/8bjEGpxJAhDw3+y18QEGCN9+PARMw5zrp8/z1efx06HcrLIZMhMRGFhcjJQXIy9Hr8/vdwcbHyErOyoFJh4UL8+c9WnvNjwenOY/Xti3Xr8Pe/Nx0V+foiIMD6VQEoKkJmJj74AHq99Wfu+JwuLABLl6J/f+6nMWfPRkgItFonPV/qjGGJxdi6FVVV3JeyZg0ArFuHujq+y3JAzhJWQACWL29+GBGBrVsRE8N3obNmITQUxcX48ku+C3JAznLwLlizBrdvY9Uq230o++YbxMTA1xeXL8Pd3UYLdQTOssUS7N2LrVttumP6wx8QFobr17Ftm+0W6gicaItVW4uePSEW4/59uLnZbrkHD2LmTEiluHq16WqSM3CiLdalSzAYEBho06oAzJiBESOg0znXRsuJwsrPB9B8McdmRCK8/TYAfPSRE13kcaKwhDtbgoIemrh0Kd5/H7W1fBcdHY2RI6HTISWF74Ich9OFZbrFunMHKSnYsMEWO8d33gGATZtYTQ3nih2DU4clTJHJLL1noSsUCsyfn1dfPyopaUvHox9/zhJWfT2uXIFYjGHDmifa+KhrzhytTpetVqvvt77V64njLGFduQK9Hn5+6NGjeWLrbRhXUVFRo0ePrqioSDK9Af4J5SxhtXnk3uZErt59910AH3/88b1792y3VHtwlrDa3OvZ/gTE1KlTx40bV1FRsWXLY3+kVVFRYeZZZwmr9V6vpqbp3lEb38z5zjvvANi4ceNjutGqrKxMSUkJDQ0NDw8/f/58u+OYc5g9+0hg4MWsrAbjlNxcBrDgYDuszAsvvABg3bp1dlh2Z+n1+rS0tOjoaFdXV2M8YWFh7Y13irAMBkOPHj0A3L592zjxm2+uyeU58+bdt/36HDt2DIC3t3dlZaXtl/6oCgoKVCpVv379hJhcXFwiIyOXLl0KYMGCBe29yil2hVqttqamZsCAAb169TJOPHNmW0HBiICAj22/PhMnThw/fvydO3cSExNtv3QLVVVV7dy5c/LkyXK5fMOGDWVlZXK5XK1W37hxIyMjQ/gfVW7m+NSW7dvLd999ByAyMtJ04quvvgrg66+/tssqZWZmAvDy8jLdiDoCg8GQmZmpVCo9PDyEQry8vJRKZWZmpumwqVOnAkhLS2tvPk4R1ieffAJgxYoVphNlMhmAc+fO8V56eXn5ypUr6+rqWkyfMGECgLVr1/JeAQsVFxer1Wp/f3+hJ7FYPGbMmOTk5Pv32zhaGDRoEIBffvmlvbk5RViLFy8G8MUXXxin6PV6V1dXsVhcU1PDddFlZWXPPPMMgJUrV7Z46scffwTg7e09ZcqUlStXpqSknDx58tatW1zXp7UHDx6kpqZGRkaKRCIhKV9fX5VKde3atfZecu/ePZFI5O7uXl9f396YzoeVkJDQ2NjY6Zfb0ujRowH88MMPxikajQZAQEAA1+Uaq5LJZCUlJaZPNTQ0zJ07F4Cn8BV9E7169YqIiIiNjVWr1YcOHbp69Sqnn3NOTo5SqTSuQLdu3WJiYjIyMjpcXHZ2NoCQkBAzY8x9E9pgMBw+fLhnz56jRo369NNPhYkuLi4jR450d3e/c+fOuXPnSktLX3rppY4OBO2ssLAQQJDJKfaCgoIWU6yuvLx80qRJGo1GLpcfP368f//+xqcMBsOiRYv27Nnj4eGRlJTk4eFx6dKl/Pz8goKCS5cuVVZW5ubm5ubmGsd7e3vL5fKgoCCZTBYUFCSXy/38/MSdvXKu0+lSU1O3b99+8eJFYUpERIRSqZwzZ07rytuUn5+Pjn565sLatGnTzZs3XV1dx44d+/LLLwOoqqrasGFDdHT0kSNHTpw44efnN2XKFEvfkJ2UlJRUVlb6+Pj07dvXOFEIy9yHmq4pKyubNGlSXl5em1UtXLhw9+7dXl5e6enpwtbUVGVlZV5eXn5+vvBfjUZTWlqalZWVZfKbTN3c3AIDA4ODg/39/YOCgoKDg4ODg7t162ZmlfR6/ZEjR3bt2nXw4MGGhgYAUqk0Jibm9ddfDwkJeaR3Z9FPz/xG79SpU2vWrDE+3Lx588GDB/V6/eLFi9PT02fOnMn7GKXrMjIyAIwdO9Z04pw5cwB8+eWXPJZYWloaHBwMICws7ObNm6ZPNTQ0zJs3D4CXl1dWVpaFM7x9+3ZOTs6OHTtUKpVCofD39zceDxlJJBJ/f3+FQqFSqZKTkzMzM40H3RqNRqVS9enTxxilQqFITU01c4RkXnR0NIB9+/aZGfMIYen1eoVCodfrDQaDcLzy4Ycf3rt3r3MrZzObN28GoFQqTSeGhYUBOH36tNUXV1paKuwj2qxKOK7y8vI6depUV5ZSWVmZlZW1bdu2VatWRUVFDR48uPWeUSwWBwQECIkLnn322c2bN1dUVHTtLbIhQ4YAuHjxopkxjxDW3r17k5KSjE8dPXpUKpWOGjXqp59+6uKKcrVs2TIAmzZtMp2o0+mOHTtm9c2tTqcTqgoPD29dlbCZ7HpVbaqrq9NoNKmpqWq1OjY2NiIiQtgz9u7dWyQSTZkyJTc31yoLqq2tlUgkLi4utbW1ZoaZC6umpubo0aOrVq0SNkszZsyoqqoyPpuXlxcZGSmVSgcMGPC3v/3t7t27Vllvqxs/fjyA9PR03gvS6XTCYUd4eHiLrYJerxfOx3p7e/PYTLZJr9fn5uZGRUUBcHFx2bBhg1Vme+HCBQBDhw41P8xcWGlpaatXr169evWWLVtKSkr27NnTYkB9ff3nn3/u5+cnlUrDw8MPHz7c1bW2tuzs7J49ewLgvW7Xr18PDAwUdjdmqvr555+5rkZrjY2NarVa2FHOnj27urq6izPcu3cvgOjoaPPDrHCC9Ndff505c6ZUKpVKpUql0van+Np04cKFmJgYkUgkFovFYrFIJFIoFGfPnuWxrOLiYmNVLd5+XV3djBkz7FWV0ffff+/l5SVsTYuKiroyq7Vr1wJISEgwP8w6Z94NBsOuXbsCAwOlUmloaGhqaqpVZts5586dmzFjhvC5ycPDY8WKFXFxcd27dxeOZ+fOnVtYWGjFxRUXFwcEBAAYPnx466qED1C9evXKzs624kI7obCwULiK1bt37xMnTnR6PrNmzQKwc+dO88OseUlHq9XGxMQIm64FCxbodDorztwSGo0mNjZW2Oz36NEjPj7eeL67vLxcpVIJx7NisTgmJuby5ctdX6JWqxWqioiIcOSqBLdu3Zo8ebJwxmHbtm2dm4lw0qvDd2Tla4WNjY07d+4cOnSoVCqVy+UHDnxn3fm3Jy8vLzY21sXFBYC7u7tSqWxxCUVQXFwcHx/v7u4OwNXVNTY21swVsQ5ptVrhkm1ERESLmxTq6upeeeUVoaqcnJxOL8LqGhoaVCqVcPZBqVTq9fpHfbm7u7tIJOrwNBOXi9ClpaWvvfaaVCp98cXD06YxrZbHQprk5+cbk3Jzc1MqlTdu3DD/kqKiIqVSKZFIjC9ps0LzzFclXKjo06fP+fPnH3XONrB7927h2GDcuHFlZWWWv1C4ODZo0KAOR3K8u+Hgwf/73e8YwJ56im3dyqx+IbWwkMXFfSTs+Nzd3ZcvX95hUqYKCgqMRQr7zdLSUgtfW1RUNHjwYADPP/+86SkYxlhdXZ1CoRCqunDhwiO8H9vKzc319fUF4Ovra/kprrS0NADTpk3rcCTf22ZKS9kf/8gABrCxY5m1Dpp//ZUplUwiYWPHXhY2OdevX+/crDQajfDhEUDPnj1VKpUld969/fbbAMaMGdPi7F1tba1QVd++fR25KsGNGzdGjRolvPEDBw5Y8pL169cDeOuttzocaYv7sQ4dYk8/zQDWvTtTq1lDQ8cvac/Vq2zRIiaRMIC5ubG4OENxcXHX11A4NyEceXh6eqpUqjt37pgZ39jYuHHjxtZVTZ8+XajK/OUOx1FbW7to0SIAIpFIpVIZDAbz42NjYwGkpKR0OGcb3ehXWcmUyqZN13PPsby8R56DVsvi45m7OwOYqyuLjWVXrlh5JbOysoTtDQAfHx+1Wm356cSamprIyMjHqyqj5ORk4YhToVC02LO3MGLECAAnT57scJ42vYP0P/9hvr5NZahUrNXNum0rLm6ZlDVOFLQrMzNTuAokHCep1eoHDx6Yf0l1dbVQVb9+/TQaDceV4yY9PV34pklISEh7n5QbGxuFG7YsuYxt61uTq6pYfDwTixnAQkNZTg776CMWFcVMvwe1YAH7738ZY+z6dRYfz7p1YwATi1lMDGv/Hmsry8jIGDlypJCXr6/vZ5991t411+rq6kmTJglV5XViU+wwLl++LFxB9/HxOXr0aOsBWq1WeJuWzM0+97wfO8b8/RnAhg1j8+YxkYgtW9b8bGAgS0piy5c3baVcXFhsrO2SMpWRkTF8+HAhLz8/v+Tk5Bb3MFVXV0+cOPEJqEpw9+5d4aSuRCJRq9Utnj18+DCA8ePHWzIru32Z4v599uab7PhxNn8+e/VV1qMHM95LEhjItm1jfn5NW6mCAnutI2OMNTY2Hjp0KDQ0VMhLJpPt2LGjoaGBmVTVv3//J6AqQWNj49q1a4WPyUuWLDH9cpFwe3pcXJwl87H/t3Tmz2dvvcUSElhICBPOAwcGsq++YhkZnTnG58RgMKSmpg757a94BQcH79q1S/j+1sCBA61ydcih7N27V/hK6vPPP2+8NLdkyRIAiYmJlszBUcK6d48NHMj+9S/GfgvLAen1+pSUFOErdcbDryevKsHZs2f9/PwAPP3008J9GWPGjAHQ5uFXa44SFmNs/37m6clKShw3LEFtbW1iYuL06dPfe++9K1Y/5+FIbt68KXxA7tat244dO3x8fABYePnLgcJijE2dyl57zdHDcir19fXLTf4Ikbe3t4UvdKy/sJqYiPBwtPoGCrEbiUSSmJgok8nefPNNxliAxb9MzLHCGjIEf/1rG38MnNjXG2+8ERQUJJFIWn8Lsj32D0uhwG+/1wQAEhJgMOARv0FJuBM+AlvO/r8fq7z8ob+c2707+vSB2V9vSR4D9g/rwAGcPv3QlNRUZGfbaW2Ildg/LPJEorAIF/Y/eAfw7be4fLn5oem/yWPKIcLy88MLLzQ/PHXKfqtCrMQhwoqIwNKlzQ937LDfqhAroWMswgWFRbiwf1gvvtjy729NmGCHv9xMrEvEGLP3OpAnkP23WOSJRGERLigswgWFRbigsAgXFBbhgsIiXFBYhAsKi3BBYREuKCzCBYVFuKCwCBcUFuGCwiJcUFiECwqLcEFhES4oLMIFhUW4oLAIFxQW4YLCIlxQWIQLCotwQWERLigswgWFRbigsAgXFBbhgsIiXFBYhAsKi3BBYREuKCzCBYVFuKCwCBcUFuGCwiJcUFiECwqLcEFhES4oLMIFhUW4oLAIFxQW4YLCIlxQWIQLCotwQWERLigswgWFRbigsAgXFBbhgsIiXFBYhAsKi3BBYREuKCzCBYVFuKCwCBcUFuGCwiJc/D/MfpauAtmU2gAAAQp6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAALiDmBuIGRjaGBCDNxIRKMzOyOWiAaBY2hwwQzczI7mABlmBmh8gww1SwM4BVMDEyGGgwAlmMgkBCkgNIOJbk5/qV5uRoyDBoczMA5ZgYGJkYmJiBmjKYmFkTWNgTWNkS2NgzmNg5FDg4GUSAUoxMrCzMrGzs4k0go+DuXVEf43DLpm0/iMN/Pdvhnu5dOxC7UFLI4Wzyub0gtnKor32NCx9YvN6ubV8nRzZY/bK1DHZO6nvtQWyF5Wv3Mx+ZD2a/CT2zv1Qpbx+I7X/L+kD4pgyw+svibQcyl28GmykGAAEONVn4n+LVAAABYnpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2SO2vDQAyAd/8KzYUcetxLQwcnDqWUONCkXUPI0kBph+b/U12Kcw4cPXk4Sd/pafn5Ph2On5f+cPo4nr/6Dsp5HV7OF7gdHjqz4z+fqsK7IGK3gXKB5frpeYTVvl9OltX2bdzvgBCI7I3JPdvvt5vJQrACcd4HVoYFOfQ5CQM6vJ76lK9gzAHRgjovpEoNToxjx5kzCizQEWJKsQF6A9FlZMxmdSRZRRpcMM7icGTSWG5K2abQICOMJRCHGBnI+WSJWyUm46xVMS6KgewzxVbAXFKTCxol8bUI4RBaRWoJyU4lsJlLkZg1tZLbVh5g4R0peswFxZwSz0cOm363e6Q0PVmPw93O/ra43I5D3WIRrrsqqtSVmK+qvvjA1/l6k1CHWNRYZ2U+yHUi5oNU2/ZG5FlvZIje9FKGmnneybzuok9/rt27X20bmbMaGVHxAAABCnpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF3OPU/DMBCA4b/C2CLXug/bdxcmFCExoUqMVYcSZahQnaoEpv547Ex1Rr+Pz+cDyvPxY8B8yO/HYdNT39N2wKf7Zhc8GgR0O/CgIoTiXnbkjSPVZqAmWBL6aImlNmKKkZfGMaXk0FPQOggeqRQqJYhIqkWBQF0RVuMyRZ6UtL6DAMsd9iFEMlfeg6DCtSSNZSYwmtXtZWkitLR8CRXM3Nad5umyv03XDvzP79d1Gr7H2X++leOY/863KV/GPPt86vDBX/fl+Oixo5apYQwdt85rD62HtcfW49pT66n12EnrsnZtXddurdtq//0fNyqe8ZB2DTIAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>ACTR2</td>\n",
+       "      <td>STKR</td>\n",
+       "      <td>TKL</td>\n",
+       "      <td>3soc</td>\n",
+       "      <td>GVD</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP</td>\n",
-       "      <td>14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na</td>\n",
-       "      <td>[55*]c1ncnc2ccccc12</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>15 15 15 15 15 15 15 15 14 14 14 14 14 14 14 5...</td>\n",
+       "      <td>[17*]Nc1cc(C2CC2)[nH]n1</td>\n",
        "      <td>5</td>\n",
-       "      <td>[FP]</td>\n",
-       "      <td>[AP=FP]</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.541282</td>\n",
+       "      <td>0.581756</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>36.822281</td>\n",
+       "      <td>18.524861</td>\n",
        "      <td>1</td>\n",
-       "      <td>76</td>\n",
+       "      <td>454</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2175,7 +1899,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2195,9 +1919,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "id": "5b07c6a9-debe-4fda-955e-0e4f907e4094",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -2252,7 +1978,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 56,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2272,9 +1998,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "id": "242f800e-1dd3-4d36-85c6-49080ca9e11d",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -2307,27 +2035,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>fragment</th>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>substructure</th>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>substructure_name</th>\n",
        "      <td>Michael-acceptor</td>\n",
        "      <td>stilbene</td>\n",
+       "      <td>imine</td>\n",
+       "      <td>quaternary-nitrogen</td>\n",
        "      <td>aldehyde</td>\n",
-       "      <td>aldehyde</td>\n",
-       "      <td>thiol</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2337,7 +2065,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2357,9 +2085,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "id": "e02059d6-5020-4a68-8a4b-8b18127e9d84",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -2394,53 +2124,53 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>[AP_2, SE_1]</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>[AP_0, FP_0]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAbZElEQVR4nO2de1RTV/bHvyEgELTyEAwPwQGtCtQHFtDiAxVblaCCOstRsa1OtbWr0ZmpMj/XrKFdna5Bqy0z9VGmPkarVqGovGwVrbUo6oBWFERbER8loFBACgFCkvP749JIQgIBcnNz4/ks/sCdc+/dyJdzzt3nnL0FhBBQKKbGhmsHKNYJFRaFFaiwKKxAhUVhBSosCitQYVFYgQqLwgpUWBRWoMKisAIVFoUVqLAorECFRWEFKiwKK1BhUViBCovCClRYFFagwqKwAhUWhRWosCisQIVFYQUqLAorUGFRWIEKi8IKVFhWi0wm27Fjx8yZM48cOfLNN9+Y+ekCemDVyrh3715GRkZaWtrFixfVajUAJycnhUKxZ8+eZcuWmc0NW7M9icIqJSUl2dnZWVlZ+fn5TGfh4OAQFRUlkUju3LmzZcuW5cuXy2SyDRs2mMkhQuEzxcXFiYmJI0eO1PxCnZycJBLJvn37GhoaNM0+/fRTGxsbAFKpVK1Wm8ExKiz+oVQq8/LypFKpt7e3Rk9ubm7x8fGZmZmtra16r0pPT7e3twcQHx+vUCjYdpIKizc0NzdnZmauWrXKw8NDoydfX1+pVJqbm9vW1tbtHc6cOTNgwAAAEomkqamJVW+psCydpqamzMzM+Ph4RhMM/v7+Uqk0Ly+vp+NaQUGBu7s7gPDw8OrqapZ8JlRYFktNTc2+ffskEgkzfjEEBgYmJiaWlJT05c537twJCAhg7vbgwQNTOawDFZZlcf/+/ZSUFIlEYmvb/sJuY2MTERGRlJT0008/meopMplszJgxAPz8/EpLS011245QYVkEZWVlycnJERERAoGA0ZO9vX1UVFRycnJlZSUbT6yrq5s8eTIAV1fXCxcumPz+VFhcwgQLAgMDNYOdo6MjEyyor683ySOuXLmyb98+vR+1tLQsWLCAiVCcOHHCJI/TQIVlblQqVV5eXkJCwvDhwzV6cnV1jY+PT01NbWxsNOGzamtrPTw8BALB5s2b9TZQKpVvvPEGAFtb2z179pjw0VRY5qZj/+Tt7f3222+fPn3amGBB79i2bZsmNKpSqTo3UKvViYmJAAQCwUcffWSq51JhmZVJkyaJxeIhQ4b0LljQO44ePerg4ABg2bJlhkKj//73v00bmqfCMh9yudzOzs7W1ta0450xfPvtt8899xyAqKiojks9HTlw4ICdnR2A5cuX970HpcIyH+fOnQMQEhLCydMLCwuZkH1oaKih0Ojp06eZMGxMTIxcLu/L46iwzMemTZsArFmzhisHysrKhg0bBmDUqFH379/X2+Z///sfE5qfMGFCTU1Nr59FhWU+4uLiABh6+TcPlZWVY8eOBeDp6VlUVKS3TWlpqa+vL4CgoKCHDx/27kFUWOaD2Yxw69Ytbt2oq6ubMmUKABcXl/Pnz+ttI5PJRo8ezYTme+cwx8IqKSGvv05u3tS1r1lDvviCC4dY48GDBwCcnZ3N8ybYNS0tLQsXLgQgEomys7P1tqmtrZ00aRITY2M2D/YIjoV16hQBSG6urr1/f/LWW1w4xBqpqakAZs+erWOvrKw8evRoRUWFmf1RKpWrVq0CIBQKd+3apbdNU1NTdHQ0E5r/+uuve3R/epjCTFy+fBlAeHi4jv3kyZNxcXFSqdTM/giFwpSUlKSkJJVK9cYbb2zevLlzG5FIlJGRsXLlyqampnnz5h0+fNj4+1NhmYlLly4BmDBhgo7dkODMQ0JCwrZt2wQCQUJCwtq1a5nDFx0RCoWff/55YmKiQqFYsmTJ1q1bjb21KbrV3vOMDIUKhUIkEgkEgl9++UXno3HjxgH4/vvvOXGMIT09vdvQfHJyMhOaT0hIMGaaaBHCCgggY8dqfdnYWJWwCgoKAIwcOVLH3tTUZGtry0ksXoczZ84wofkudi1/8cUXTGj+tdde6zY0bxHHvyIjERCgZbl5kyNX2MHQOFhYWKhUKkNCQpycnLjw6ynTp08/c+ZMdHR0dnb2tGnTcnJyBg0apNNm2bJlYrE4Li7uv//9b21t7eHDhx0dHQ3ekQX194BnZChkToru3LlTx855LF6HjqF5Q7uWL1++zGhu6tSpXWwao5N3c2CZM/fO+Pv75+XljR07trS0dMKECTdu3OjcJiws7Ny5c97e3ufPn7948aLBe7GmfqN4FnqsmpoagUAgEok6z0uYWPzt27c5ccwQxuxaTk9PBzBlyhRDN6E9FutcunSJEBIaGqo5H8Hw8OHDiooKV1fXjltJLQFnZ+eTJ0/OnTu3rq7u9u3betuUlZUBCAoKMnQTjifv7u6QSODurmufMwejR3PhEAsw413ncZAZH8PDwzUHKCwHR0fH9PT0U6dOzZkzR2+DbgdxjoU1ahTeew86r0QqFTZsgI8PRz6ZGo2AdOyWNsHSwdbW1pCqYHjWqIHjobCiAi++iDFjcO/eU2NTE158EQcOcOaVCSG/BbE6C6jb343Fwgzizs7Ozz//vKE2FjHHam3FunVcO8EOpaWl9fX1vr6+Xl5eHe1tbW1Xr14VCARhYWFc+dZrmD+JiRMndjGIW4SwXn0VGRnIyODaDxYw1C0VFRU1NzePGDHCxcWFC7/6hDGDuEUI65VXMHs23nkHjY1cu2JqDP0O+DsOgkfCAvDxx3j0CO+/z7UfpoYvoVHjMXIQtxRhjRyJP/0Jycm4fp1rV0xHU1PTzZs37ezsmC0MHeFvj1VUVCSXy0eMGOHq6tpFM26Edf8+kpPx4Ydaxr//HT4+WLMGVpNu9/Lly0qlcty4cTqLtb/88ktZWZlIJAoODubKt15j5J+EWeNYd+8iKwtpacjPByEYMABxcU8/FYnw8ceIi0N6ujmdYpEuJlh6Y/G8wMhBnPUfjBBcuYKjR3HsGG7dajf27485cxAXBxvtHjM2FnPm4O9/Z9spM2Hod2AoFs8LOO6x1Grk5yM7G+npuHOn3ejqiuhoxMRgzpz2aPvdu7oX7tgBTdaMpiZUVMBwEM7S6XYxhwOf+kYPBnHTLowrlSQvj0ilxNOTAO1f7u4kPp5kZpLOu17LyghAjhzRMr73HgHIpk1k9mzi4kIMHH2zdO7evQtg0KBBOht51Wq1s7MzAPOfzOk72dnZAKZOndptS9P0WE1NTSdOnDh3bsYXX7g2NLQbhw9HXBxiYxEWBkMR2iFDUFaGwYO1jBs3Ij4eTk64eBF1dXj5ZaSlwfCylYViKDxtKBbPC4wfxPskrLq6uqysrOzs7K+//rqxsTEy8kxDw/TAQCxahJgYjB/f/R3s7ODvb9D41Vd4+22kpGDuXKSkYOXKvjhrbqwyNNqDQbwX/eHPP/+8ffv2GTNm6CRg3bYtraysF/frhqQkAhCBgCQlmf7m7MFIJ7fTJkbmmOjWrVs58aov9GgQ74GwysvLmQSsNr+9ywmFwoiIiOTkZLanC9u2ERsbAhCplOjLSmdxtLS02Nvb29jYdN4VzuREYCOfLNuUlJQA8PX1NaZx98IqLi5OSkqKiIjQdHIODg4SiSQlJeXRo0d99tZYjh4lDg4EIMuW6XkJsDSYzeDBwcE69ubmZpFIZGdn18fsU5ywe/duAL///e+NaWxwjvXkyZMPPvjg2LFjd38LCTg7O0skktjY2FmzZolEoh6Pz30jNhY5OYiNxYEDqK/HkSMwuws9wNBEysHBgdnv29XBKUulZ+ubhhSnUCiYxaBBgwZ1Xf3HnBQUEA8PApCwMMJmwY6+snjxYgCff/45146Ykh4N4l0NhYcOHcrLy9ObapdDysrIsGEEIKNGEdYKdvSV3/3udwBu3LjBtSMmo6GhQSgUGj+I8zLxWmUlGTuWAMTLi1y/zrU32shkMuYYqkgkUiqVXLtjMs6cOQMgLCzMyPaWsm2mR4jFOHsWkyZBJsOMGeqCAv1HlMzJvXv3/vWvf02aNMnHxychIeG5556Ty+V//vOfO+dv4Sk9Dr+xKnNWaWkhCxeSqVP/xEbFDiMpKip67733mIJHDI6OjvPnz5dKpUz+lqVLl5qh6qQZmDt3LoCDBw8a2Z7HwiKEtLWpVqxYAcDOzu7AgQNme27ngrkikUinYK4xqdV5hFgsBnDnzh0j2/NbWES7YoehijEmoeuCuS0tLZ0vMSa1Oi9gQk7u7u7GX8J7YTGYvGKHhubm5tzcXKlUOrjDUrmvr++qVasyMzO7TRNlTGp1y+fQoUMAYmJijL/ESoRFCDl48KCmYkffpzWagrnMcMbQu4K5xqRWt3DWrl0L4B//+Ifxl1iPsIh2xY7eFdNmqWCuManVLRkm2n769GnjL7EqYZEOFTvCw8ONr9jx4MEDpmAu0+eBhYK5xqRWt0w0C+pPnjwx/iprExbpSTHtzgVzbW1tmf0abBTMVSqVq1evRpep1c1Pc3NzZmbmihUr6urq9DYwtKDeNVYoLKJdTLtzxQ4mWDC+w0ZEkxfM7YKkpCTmHXbTpk1sP6sLOk8iDcVrPvnkEwB//OMfe3R/6xQW6VSxQ2/BXBcXF6Zg7q+//mpO37qtesoe1dXVu3btio6O7jiJHD9+/IcfflheXq73kt4tqFunsEpKStavX3/ixAmJRALAwcHBzc1N8//o7e29Zs0aVgvmdosmtXp8fLwZQvNdTCJ//PHHrq8dOnQoer6gbp3CSk5OBrBy5UqmmDYjr6FDhzLBAgvZr2FMavU+cvfuXZ1JpGbTr0wmM+YOjx49AjBgwICeLqhbp7D+8Ic/APjPf/5DCFGr1a2trdevXyeEbNmyJTQ0NDU1lWsH2ykoKGBC82FhYSYMzZtwEnn8+HEAM2bM6KkP1iksZjvU9U5baubNm9fFLJUTysrKjHyH7RqVSlVYWJiYmNgxy56Li8uiRYv27dvXi0kk09v5+/vb2dlt3Lixp5dbobC66L17upJqHmQyGROa9/Ly6vzH0DWaFUxPT0+Nntzd3Xu96ffq1at/+9vfOqZDXrt2raFIRBdYobAyMjIATJ8+XcdeXl4OwM3NzRJKUepgTGp1Hb777rulS5cy57EYAgIC1q9fz7wC9+jpJu/tiFUKa+PGjQA6995ffvklM1PmxKtuaWlpWbBgAQAjt5d99NFHjAICAwMTEhJ6uoJJOvR2Hc9km+qIgxUKa/r06QAyMjJ07OvWrQPwwQcfcOKVMTDvsMwCwO7du7tufO/evc2bN/diWJfL5ZmZmatWrXLvkF/fz89PKpXm5uaaKgRjbcJSqVTMO3xVVZXOR4aOJlsU7G0vq6urS01NjY+PZ9bp+9jbdYu1CauoqAiAv7+/jr2Lo8kWiAm3l1VXVzP7Nfr169dRT4mJiaWlpaZyuDPWJqyUlBQAS5Ys0bEzZwGCgoI48aoX9HF72b1795KTk6OiojT5NTSh0Z9//pkNh3XgX6rCrrGaHC9LliwZPHhwbGzs/v376+rqjhw5Yszh6bt372ZlZaWlpeXn5xNCADg4OERGRkokksWLFw/WyRfFKmYQrzlhAjBMks+OdIzF8wgjt5cxofZRo0Zpfq2awx092kRlQqxKWE+ePLGxsbG3t+98tMFQLN7yKS0t9fX1BRAYGPjw4UONXRMs8OlQzqrrwx3mxKqEderUKQATJ07Usfd6JdVCkMlkTN4EPz+/oqIi5nAHs4rAMGTIEOZwh+WcYbSqOZahiRSzBzIsLEwoFHLgVp/x9PQ8e/ZsTExMfn7+Sy+91NTUxNhHjhwZGxsbFxc3fvx4Syt6aFXCmvbo0bvjxk2ZOFHHzt/6IhpcXV1zc3P9/f0VCoVYLF62bFlMTMx4Y7JxcoQVCYuQSampk6qrERqq84kVCAuAUCisr69va2srLy8fOHAg1+50gxUJq6wM1dXw8MDQoVp2lSpNLi+NjBzBc2Fdu3attbU1KCjI8lUFqxLWpUsA8NJLuvaSEtdLlyL8/XWzfvMNfoXieJnGSD+XLwNA526JERxPfh9dwK8B3YqEZUhAhgTHN/jVYwmIdRRxa2nBwIFQqVBfj/79tT4KDkZJCS5d4rW2Hj9+PHjw4AEDBtTV1fEiaGItPdaVK1AoEBysq6qGBpSWwt4eY8dy5JlpYLqr0NBQXqgK1iOsLsZBtRohIehwPpOP8K4SnbUIy9pn7ryrRGctwrLqmbtarS4sLAQVlrmprMTDhxg4ECNGaNkJaRcWz3us4uLihoYGf39/s26o6htWIayLFwEgPFy3EnBZGWpq4OEBPz9O/DIV/IpgMViFsAx1S4Zi8XyDCosjGAF1/n+3igkW+BYaZeC/sJRKXLkCgQBhYbofWcUrYUNDQ2lpqb29/VheheL4vwj9+DGCgtDYiEGDtOwtLbh+HUIhXnyRI89Mw+XLl9VqdUhIiD2vQnH8F5aXV3sUVAcmFj9mjG4snm/wcYIFaxAWQ20tbt6EQgEfHzCVSAYPxoYNfN8qA94Ki/+HKaqryYIF7SWjma/hw8nJk1y7ZRrUajVz/MtQglCLheeT95YWzJiBb7/F/v1obIRSiYICiMWIjsbZs1w7ZwLKysqqq6s9PDyG6myLtXh4LqzPPsP16zhyBEuXwsmpfar+zTfw84NUyrVzJoAJNLzEw1Acz4X11VcYNgwzZ2oZRSKsWIHiYty6xZFbJoOvEyzeC+vmTXRIQvcUZv5+86aZ3TE5VFgc0Tl8xcCkFPv1VzO7Y1paWlqKioqEQqElnx80BM+F9dxzePRIj72qCgD4cEyqC65cuaJQKIKDgzuWtuMLPBdWcDB+/FGPvbQUAF54wczumBY+LhFq4LmwFi1CeTlycrSMcjn27kVoKAICOHLLNPB3ggXwPUDa2kpCQoizM9m/nzQ1EbWaXLlCJk8m/fqR/HyunesrTPaivhTg5BD+H/+qrcWaNUhLg1oNGxuo1Rg5Ejt3IjKSa8/6RGVlpZeX18CBA2tra21s+Dew8H+t0NUVhw9j2zYUF0Mux9ChCAzk2icTwKReCg8P56OqYA3CYhg0iO9dlA68O++lg7UIy+qYNWuWQqF45ZVXuHakl/B/jmUtqFSqLVu2MN8LhUKxWBwVFdUxHyS/oMKyFFpbWx0cHLy8vDw9PZVKZXl5eVtbW0pKSnx8PNeu9QZeTgytmNWrVxcWFl67dk0mk4WFhb355psKhYJrp3oDFZaF4uTkFBMTI5fLmWp4vIMKy0JRqVS5ubmurq5Dhgzh2pfeQN8KLYvU1NTi4uLW1lam2tTx48dFIhHXTvUG2mNZBDKZjPnG0dHRxcXFzc0tICBAJpPt3buXp3Msnq8V8hlNwdwRI0aIxWK5XA7g/fff1zQ4ceIEgOTkZA6d7DV0KDQ3bW1tZ8+ePXr0aEZGRhWzbwwQi8UPHz7UaTlr1iw7OztmTOQdVFhmorm5+fTp09nZ2cePH3/8+DFj9PPzmzdvXkxMTGRkpEql0rmkoKCgra2NKQDe2trKr5PQNEDKLvX19bm5uVlZWcePH//1t63SgYGBMTExEokkIiJCUwOHCZDOnDlzxowZACoqKg4cONCvX7+rV6/+8MMPb731VlZW1pgxYzj7SXoIFRY7VFUhIwPHjq2qqvq8qAiAQCAICwuLi4uLjY0dPnx45ysUCkXHY15ubm4vvPDCunXrfHx8JBJJTk6Oi4tLVlZWRESE+X6KPvCsCqu1FWfPYtQo3Zxsly9rJa5pbMT586iogKMjQkLaD/90wf37OH4c2dn47jsolQAKpk37q0AQFxc3f/58b2/v3jmrUCji4+NTU1Pt7e0PHjy4YMGC3t3HrHD88sAVMhkByCef6NonTCCTJ7d/v2MHGTiQCIXEx4cMGEAAMn06qajQc7eyMpKcTCIiiEDQfszfwYFERZHkZFJVZRJ/lUrlm2++CUAoFPKiTiwVljYaYe3dSwDy+uukupoQQlQqkpNDBg0igYFELm9vXFxMEhPJqFFP00aIREQiIfv2EXYK5iYlJQEQCASJiYls3N+EUGFpwwirtZWIxWTyZKJWa32ak0MA8umnJDeX+Pg81ZO7O1m5kmRnE/YL5m7fvp3ZUyqVSlUqFduP6zVUWNowwvr+ewKQXbt0P1WriZcXiYoiP/1EADJkCFm1imRmEvMWzD127JiDgwOApUuXWk6tXh2e7TjW6dNobtayyGTw88Pt2wD0nB4TCDBsGG7fxrBhuHYNo0eDi4K58+fPP3HixPz58w8ePFhVVXXs2LEBAwaY342uebaFde0aKiq0LDU18PNrV5uLi55LXF1RUgIAnIaUpk2bdvbs2dmzZ585c6bwnXembd0KNzcO/enMs70I/e67+OEHra/RowHA2RkAflsY1qKiAq6uZnXSACEhIRcuXEibP3/a/v2YPBkPHnDtkRbPtrAMweQnZnqmjrS24vZtjBtnfo/0MmzYsIU7d2LsWJSWYsIEXL/OtUdPocLSxwsvYMwY7NiBxkYt+2efoaEBFrUJXSzG999j5kxUViIyEhcucO1QO1RYBti5E1VViIzEN9+gqgo3byIxEe++i4ULIZFw7Zw2/fsjKwuLFqGuDi+/rJvJgiOosAwwcSK++w4ODpgzB56eCArCp5/i//4Phw5x7Zk+7O3x5ZdYvRpyOebNw+7dXDv0zK4VAmhuRr9+0ClYymzX7NfvqaWmpn2tMCBAt7EFsmkT/vpXCAT45z+RkMChI8+wsKyV7dshlUKthlSKTz7RrYhmLqiwrJHDh/Hqq1Ao8Prr2LOHExee7QCptbJ4MTw8EBv7NDIil+PIERQUoL4eYjGiojB7dvuygVyO999HdDSmTNG6SUoKVCqsWdM7F2iPZb1UVYFJ/XD9OqKjUVODyEi4u+Onn3DpEqZNw9GjcHZGTQ3c3bF5M9av17p8yhS0tbUXGe05tMeyXhhVNTZi7lw4OqK0FJryFjk5WLAAq1fjyBGWHk7DDdbOgQO4fx8pKehYNCU6GmvXIi1Nf2pgU0CFZe2cPg0nJz1Z6ebOBSHsVRyiQ6G18+ABfH31bO9hNvtrlq537UJurlaDGze63+NvGCosa4cQ2NnpsTNBYM1hxsGDERys1aBvBWOosKydwYORn6/HzvRVnp7t/4yJ0X0rLCxEW1uvH0vnWNbOxImoq9NTCI1RG2sF66iwrJ3XXoOTE/7yF+acYzsVFUhKQng4QkNZeiwdCq0db2+kpOC11xAWhuXLIRbj1i3s3AkbG+zdy95jqbCeAZYuxfPPY+tWJCejoQFeXliyBBs2tE+w7OwQHg4vL92rgoK0OrkeQpd0KKxA51gUVqDCorACFRaFFaiwKKxAhUVhBSosCitQYVFYgQqLwgpUWBRWoMKisAIVFoUVqLAorECFRWEFKiwKK1BhUViBCovCClRYFFagwqKwAhUWhRWosCisQIVFYQUqLAorUGFRWIEKi8IK/w+EHvANotTz7gAAARp6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAXihuYGRjSADSjMzsDBlAmpkJKKABYrBwQGgmNgcIn80BrICZES8DopYVopeZA2I4I4zmZmBkYGRSYGLWYGJiUWBhzWBiZUtgY89gYudI4ODMYOLkYuDiZuDiYeBkSRBhZGPh5GBnYxVfBtILd/l118YDd7VM7EGcB2LqB3hLpoDZzjoH9k++KWkHYieIvNzvHrNiP4hdozVl70JjabCatdq1dktnsDiA2AL91+y/HFcEs909jBx4ww+B1VhckXXo/xRuC2Jf29dir1Fzbh+IXbDW3L7Z7D3YzKOqZvsnnhI5AGKb3nhpv97cAswWAwAyHT3u3xj9+gAAAXF6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9k1FuwyAMht9zCl+gyDbGhsemraZpaiJt3e6w991fs1N1pBIaYATmg8i/nQmivZ/fvn/gr/F5mgDwn9Fag6+MiNMVYgHz5eV1gdPtOD88p/VzuX0A5RgY/Zk93tbrw0NwgoMkzM2sACbDbNZ8gVvrVxkWOHBSQjMCSlSaNR6AOV6kVJByIT+ngiwyAAXWACtjyxKrTCWTDsgST7rbOIv5uaJysQGoDmJicdCA/QJVGnHmHCU1ZSHnClvlUdDVOU5Wi2rEXKhyHcXcNk5U0Woc+4M84gi3D7vGaBIhCWZuNCIJ5kgHmTTcZNJay5Dk0DFQKiSRo8xSdaS4l8MKobg2f9/JajW3UeCX5fxUJvfCmdfl3AsnOvfy8A3kXgS+AempJt+Wnk9x0541cbOeHHGrPQfi1rrU4kZ7SWmbaCcdbRPvJLp78k4JiVtlH/A+vNg//ilfT79QCa+YqaPJOgAAAMJ6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJwdj0sOwzAIBa/SZSJRi//Dirpp9s0heo0evjheoWEwj/Nzbq9r/8p3PXlv1349ftvTB9tEEQ+wAZOOp44UBkiGxLyJjGCxaEmC1f1GpTyNujAJ00Y8GGqeaC85NUAHD/WGIO2mVGsyEqneIBRldOhARWavixZqAc/kFYlbUck11OEY1DucTaesnyHwuQJUVsUdACIhTn2Cqdc9WJqtNymU0/77A+/9NlG4ATXdAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999674</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>[AP_2, SE_1]</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAXl0lEQVR4nO2deVQUV9bAbzc0OwiIIKAIuERQkR40LhgiiMlo3IYY1IyY+aIhCSjHaOISY9CJJkTNyEQFOZnjBNyZJEaMDtGIIOoIEcUgLiibSKO2stNs3X2/Px62yCZLvUbx/g7HQ1VXvftaf9Zy675XIkQEghAacXd3gOiZkFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRLrBUWtVnNtn8R6saivr1+3bt3y5csdHBzWrVtXVlbGKZAIETk1TTxrZGRkzJ8//48//tDV1VUqlQBgaWm5ePHiJUuWWFlZCRwMiRcAtVodHh6ur68PAE5OTsnJycnJydOmTWMO6OvrBwQE3Lx5U8CIJFbPJz8/39vbmzkUEBBQUVGh+YjpJRKJAEAikQQEBFy5ckWQoCRWDyc2NtbCwgIArK2t4+LiWtwmIyMjICBAV1cXAEQi0bRp086ePdvFuCRWj+XBA/y//1vBDlR+fn5yuZytr62tTUlJab59bm5uSEiIkZER28XT0zMuLk6tVncuOonVMzl+HO3t0cND3quXeVRUlGZ9Zmbmn/70J2Nj46ysrBZ3vH//fmhoqKWlJdPLzc0tOjq6vr6+ox0gsXoaVVUYHIwiEQKglxfm5RWz9SqV6h//+IeBgQEADBo06NKlS200UlFRER4ebm9vz/RycnIKDw9XKBTt7waJ1aNITcWhQxEAJRIMDUWlsmF9UVHRlClTWrx+b4Pa2tro6OiXXnqJ7WhtbR0aGlpSUtKefUmsHkJ9PYaFoZ4eAqCrK168+Pijgwcrraz6AoCNjc2RI0c62rJSqTxw4IBUKmV6mZubr169+uHDh23vRWI9f6jVmJ2NKlXDYn4+5uTghAkIgCIRBgZiVVXDR6WlOH8+AuDEiSenTJkik8m6EleT+tLT0/vxxx/b3pjEev6oqUEA1FyROzripEkIgA4OeOrU483Y9TsAmprirl2dvLlrztmzZ0UikY6OjlJzom0JEuv5o6YGnZ1x5Ei8dw8R0dERb9zARYuwtLRhg+pqXLkSxWIEwLFjUdCMOiJi7969AeD+/fttbENiPX/U1KCrKx44gPPnIyI6Oj4+LTLY6U9PD7/8Ets8rHQSFxcXAGg7R0/VDc8rc+ZAUREkJrbw0dq1MHo0nD8Pq1eDjo4AsQoKCg4fPnz+/Hm22KdPHwCQy+Vt7EJiPcds3w4rVkDzwqohQyA1FR7dxgnAyZMnZ82aFRkZyRatra0B4P79+23sQmI9xwwdCr6+cPs290DMJM0hqj1i6bbxWWRkpL6+vqOjo6OjY//+/SUSiXBdJTqPjg4sXNjw+2efAQCIRHwjsnOfxqT2nArbEis0NLTxzhYWFs7NcHBwYE/FCa2hqwvLlkFBAUyaBCYmcPEi94hNDlFdEkutVgcFBeXm5ubl5eXl5RUWFpaUlKSlpaWlpT2xv66uvb294yOcnJzYL/b29iQcV0xM4OZN6NVLG7E6cSpsb2lyfX19QUFBXiOYczKZrMWyfF1d3f79+zs6Oq5YseLPf/5zh78K8TQQwcAA6uqguhoMDLiHMzU1raysLCsrMzMzS0pKmjhx4iuvvHL69OnWtm/vQUUikbBzX5P1TDiZTFZUVJTTiPz8/Nzc3Nzc3IqKivT09FWrVnX+OxEtIRKBlRXIZPDgAfTrxz2ctbV1ZWWlXC43MzNrz6mQV4K0trY2KysrLCwMAOzs7Orq6jgFepFxd0cATEvTRqwxY8YAwLlz5xCRKWVpadnG9rzSDXp6eoMHD165cuWwYcNkMllcXBynQC8y1tYAAG1e6ggY6/F1laWlpa6ubklJSX19fWvbc89jvf/++wCwY8cO3oFeQJhYbZ+RhIv1+PpdLBb37t0bER88eNDa9tzF+tvf/mZmZnbq1KmMjAzesV40+vQB0NYRq0kq66k3htzFMjU1DQgIAICdO3fyjtUGVVVVGRkZU6dODQoK2rRpU2xsbGpqats3zM8+TCztHLGaXLA/9fpdG6mm4ODgiIiImJiYL7/8spd2Ei/N+PDDD+Pi4pqPKNfX17e3t9fke21tbe3s7JydnZ2cnES889ldxta2xtk5T6nUARjMO1aTQ9RTj1jaEMvFxcXb2zshISE6OjokJEQLEZvw3Xff7d6928jIaMeOHSqVqnE2rri4mOVHmuxibGzcON+rgZUiPSP07n0iJ2fGjRvTAI7wjtXRHKmWkuOLFy9OSEj44fvvQ5Ys4f5k60kyMjKWLl0KAJGRkQsWLGjyaXl5eZOUL6O0tDQzMzMzM7PJ9qampgkJCe7u7s/Cc4Um1z3ajPVMnAoBYPr06akzZ446dQp++w0mT9ZOUACorKz09/dXKBSBgYHNrQIAMzMzNzc3Nze3JutrampkMlnOk2RnZ5eWlnp5ecXExMyePVsr36At2vNoRdhYJSUljRfbypFqI7nG2LgRAXDGDO1FRPzrX/8KACNGjOjQmLg22Lx5MwBMnDhRkNa6SHl5OQAYGRlpIZZKpWo88Ounn34CgJkzZ7a2vRbFksvRwADFYszJ0U7Ab7/9FgBMTEyuXbvG1oSHh2dmZnalzYqKCnb/cfnyZSH62FXYiPgqzbgcbXHmzBkAGDduXGsbaLfmfcECBMCVK7UQKjU1lc3as3fvXrbm8OHDIpHI3Ny8uLi4Ky0vXrwYAD744AMhutlVHBwcACA3N1fLcY8fPw4AgwYNam0D7YqVloYAaGGBnP+HlZSUODk5AUBISAhbk5+fz27otmzZ0rk2FQoFe+KZlZUlEomMjIy6KKggjBo1CgBanOSDE2q1eufOncbGxhKJ5FTj4WZPovVROi+/jAC4axe/CGq1+i9/+QsAjB49uqamBhHr6urGjRsHANOmTevc9Cnbtm3r3bu35uDn6+sLAFu3bhWy352CDZz/5ZdftBPu3r17M2bMYFfnb731VhvjobUuVnQ0AqBUyi/Cpk2bAMDCwiLn0cUcO3k5ODg8ePCgc21GRUUBwPjx49nioUOH2IlA1WTgldZht7raUfzYsWO2trYAYG5uvnv37rY31rpYNTVobY0AeO4cj+b/97//6enpiUSiQ4cOsTWxsbEAIJFIznUhYlVVFZvZ5/fff0dEpVLJTrXx8fHC9LtTlJWVDRw4cMCAAWwyvuvXr3MKVF5eHhgYyA5Uvr6+BQUFT92lOwasrl6NYjF+/bXgDT98+HDAgAEAsGLFCrbm5s2b7CZu+/btXWx82bJlAPDuu++yxa+++goApk+f3sVmO41CoXj11VcBwMzMTCwWA4COjs68efPS09OFDZScfIb9LzI0NNy2bVs7ryW6Q6y7dzErC8+cwb17n5gVpWuoVCpWAz127Fh2lV1dXc3mSPH39+96+7du3RKLxYaGhux8KpfLDQwMxGJxdnZ21xvvKHV1dW+88QYA2Nvb5+Tk3Lp1KyQkxOBRhTKbjE+IKBgaiuPGHQIANze3P/74o/37dodYSiW+8QYuWoRRUejnhx9+KEir69evB4A+ffrcuXOHrVm0aBG7EiorKxMkxNSpUwFg06ZNbPGdd94BgE8++USQxtuPSqWaO3cuAFhZWTVOy92+fXvp0qXGxsZMr/Hjx8fFHensVI+YkdFQoaqri1u2/NDRGuDuEGv/flyw4PHi+PGYmtrFJk+dOqWjoyMWizUXPfv27QMAAwODi8IdFI8ePQoAAwYMYBOtsAFLFhYW2sxPqtVqVjtpZmZ24cKF5huUlZWFhYWx3Mq4cVuHD8foaOyQFWo1RkWhkRECoJMTnj7dmX52h1gff/xEumHNGoyIwK1bMSICjx3Dq1exurpD7d29e5fdrYSGhrI1169fNzU1BYB//etfwvUb1Wr1kCFDAEBzomGV4MJGaZsVK1awy52kpCS2Jj8/v/nNaWVl5datW728ygAQAAcMwG+/bVf28PZt9PFBtldAALZv6r8W6A6xPvkEG/9LfPopRkaimVnDt2E/ffvi2LE4dy6uWqWKioqPj79+/Xp1S8KpVCqWVfL29mYHksrKSldXVwCYN2+e4H3fsmULALz++utsMSYmBgDc3d0FD9QiGzZsYHe4msTVzZs3bW1t582b1+Kpqq4Oo6PR1bXhL9XKCkNDsY25+GJj0dISAdDaGg8f7lJXu0OsgwcxIODxoqcnpqTghg24aBH6+uKgQQ0THj76udO3r+aRua2t7fjx499+++3Vq1dHRUX9+uuvQUFBAGBjY6OZro6ldoYNG1ZZWSl430tKSoyNjUUiEbu3r62ttbGxAYCuT4z+VNi4AbFYvH//frbmzp07jo6OADBp0iSWCm4RlQrj4nDcuIa/URMTDAnBggKcPRs12ajlyzEoqGGDWbOwzamv2kV3iKVS4ZQpGBSE33+P/v4tXLyrVFhQgMnJGBODf//7zeXLJ02aNHDgwBYnj7CwsNDR0UlMTGS7FhcXu7q6mpiYXL16lVP333vvPQBYunQpW1yzZg0AvP3225zCMfbs2SMWi0UikWZubblczuapGjt2bDsnq01IwNdea7BHKkUXFxw5ssGhWbPwxx/RxgYbTd3dJbpp4jW1Gk+dwn//GzvykEupVN6+ffv06dMxMTHr169/9913X3nlFYlEYmBg0PjZQmVlZXJyModON5Ceng4Apqam5eXliFhYWCiRSCQSSWFhIaeIhw8fZnWFmhvSsrIyDw8PVhH01Hlmm5CWhv7+uGcPurjg7t34zjuIiLNm4cWLKFBtEWIPmNGPPSzbvHmzNoNOmDABACIjI9min58fAKxfv55HrISEBJagWrt2LVujUCi8vLxYJqWoqKjTLbu4YF0d+vhgYmKDWALy3Iv1yy+/NE4BaIf9+/cDgKurK0tDnzx5kl3/CT7gOyUlhd3eBgUFsTV1dXUsndavX78uVsswsa5eRQ8PnD6dxHoStVo9ePBgbT7hR8S6ujqW4Dj9KMkzYsQIAIiNjRUwSkZGBntAOX/+fJZQUCqVc+bMYXngrl9EMrEQcdUqNDQksZrByoWnTJmizaB79uz5+eefNYdJdss2evTo27dvC3LsvHXrFnN3xowZ7FU2arWa3Tf06tUrTYgJGyZPRvaOnMpKHD0au1Za25SeIJYmBXDjxo3u6kNRUZGhoSHLd0skEltbWw8Pj7feemvlypVRUVEnTpzIzs5uv3B37txhz319fHw02buPP/4YAIyMjE53LhfeEgEBGBDQMK23sPQEsRBx4cKFAPDRRx91Vwc0D+/s7OxaG+mqp6c3aNAgX1/fRYsWbdiwYc+ePWfOnCksLGxSLyCXy1mCd8yYMZo8wrp161gLx44dE7DbJiYI8HiCeAHpIe+ETk9Pl0ql5ubmd+7c0TyF1RoRERHBwcEmJiapqakuLi61tbWNx8Tm5+ezX4qKilrcXV9f38HBgQ2ItbW1/c9//nPt2jU3N7fExET2DssdO3YsXrxYR0dn3759/v7+QnVbLgdra7CwgOJioZpshPCudhOenp4AECVUgq/dpKenGxoaAsBTiypra2uzs7NPnDgRFRUVGhoaGBjo6+vr7OzMqqk09OvXr0+fPpoHCefOnROJRCKRaJfQ9dypqRyLeXuOWKycYdiwYZ1+KWgnKCkpYbMcBgcHd7oRhUKRmZl59OjRiIgINoGKsbFx4wTVmjVrwsPDhejvExw8iADo5yd4w4g9Say6ujr24kbNY3/eqNVqlhodOXKkUANiEZGNBHn//feFarA1vv4aAXDZMi6N9xyxEPHzzz8HgepF28M333wDAObm5sIWkd64cUMikejo6Aj1QvnWYE+d//lPLo33KLFkMplEItHV1W1PtX8XSUlJYaM2nvrmvk4QHBwM/Avqp05FgK6Wx7RGjxILEdlN0+eff841SnFxMatXWb58OY/279+/z8aA/PbbbzzaZ7i4IAB2pJC9A/Q0sZKSkgCgb9++tbW1nEKo1eqZM2cCwJgxY/hFYTV9UqmU39BFY2MEwPJyLo33NLEQkc1JtG/fPk7tb9y4EQAsLS3z8vI4hUBEhULRv39/fl/k7l0EwN69ebSN2CPFYqOWPT09G68sLy+fO3fuqlWrdu7cGR8ff+3atRYLnZ9KYmKirq6uWCz+73//K1B/W2XXrl0A4Ojo2EZ1aKc5fx4B0MND8IYb6IFiaUYtNx7Ecvny5ebJYQsLC80TvfDw8NjY2AsXLrRR0Hzv3j07OzsA+Oyzz7TwRVQqFRsX2emJTNrgwAEEwDffFLzhBnqgWIj40UcfAcDChQs1ax4+fLh79+4vvvhi4cKFrNBZT0+vxUcRIpHIzs7O09MzKyurcZsqlWry5MkA8Oqrr2qt9is+Pp5lNDo960RrhIUhAPK590DsqWI1GbXcGsXFxRcuXIiNjQ0LC2MPWFxdXdnzGQBoUmq8du1aALCxseFXgtwir732GgAsEzqP+cEHCIDbtgnb6mN6plj4qGR5xowZP//8c3p6emm7n+Arlcr8/PykpKTGt2MnT55kA2KPHz/Op7+tcvnyZbFYrKend+vWrQ7tWFqKSUkYHo4tjnpcvhzt7PDIEWE62ZweK1Z8fDxLCmgwMDBwdnb29fUNDAwMCwtjV1SN59VsjaKior59+wLAF198oYWeN4eN5X/qMEmZTHbiRNbGjTh7Ng4ciCJRw4CckSOf2CwyEjUPvX74AZ884QtGDymbaZEbN25s375dM892VVVVi5tZWlo2mcydTe9uYmICAEql0sfHJzk5edKkSb/++quOIG+F7yCFhYVDhgyprq4+e/Ysm0GOIZPJ0hpRVFQ0fPiiK1e+Y58aGsKIEeDuDi+//PhVvwDg5QVyOfz+O5iYwHvvgb8/l2mse7JYTZDL5XnNyM3Nra6ubnF7KysrR0dHhUJx9erVfv36Xbx4kU1u3i18+umnX331lZeXF8sAA0BiYqK3t3fjbSwsLMaO9XFx+UEqBXd3GDoUWpyL3ssLfHygogK++YbE4klJSQmbxr3x6zyzsrIqKioAQCwWe3t7r1+/ntV7dRcVFRWDBw++d+9eXFzc9OnTAaC0tHTEiBHu7u5SqZT9yaqZW9kdLl+GS5fA0RE2b4Z9+8DPD777DrZvJ7G0zt27d1nZJ6tj6Xa2b9++ZMmSl1566cqVK099L0ZpKVy5AmlpDT/XrwN7wbKfH8jlcPAg5OfDypUweDDMmUNivdjU19cPHz48Kytr586dbCajxuTk5Fy6dCk9Pb2kxOfQIW+Z7IlPDQxg+HCQSsHHByIi4OBBsLWFwEA4ehS+/57EeuH56aef3nzzTWtr62vXrhUVFV29ejUzMzMtLS0lJUXz9hGpdPmlS1tMTcHNDTw8YNgwcHWF0aNBX7+hES+vBrGKi2HoUNi7l8R64UHECRMmnDt3TiKRNHltrq2trVQqlUqlo0a94ub2upNTq+/CqqgAY2NgdfZVVaCnBy1NttJVSKznjAsXLiQnJy9btowNXWSMGjWKjW59diCxnj9UKpVCoWBzOjyzkFgEF7i/E5p4MSGxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggv/D22ZzQGeyUEpAAABcXpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAhIBYB4gZGNoYEIM3IDKGZmDgYNIA0MxObA5hmYXPIANHMjEgMmAyaCnaIADOMxqYVTSluW7gZGBkYmRiYmBWYWTKYWFgTWNkymNjYFdg5Ejg4M5g4uRK4uBO4eTKYeHgTePkymPj4E9gEEgQEM5gEmRP42TOY+LkSRJjZmAUF2FhZWDnY+bk42bh5ePn4ucQfgTwMDwnN8zcPOOlttAdx+PVXHaiynQlmv+udfmD7Gtt9IPaK2/4HambuA7O33xU9cGV7EFgNX1nUfpdrSmA2+62ufff47feD2E9PzrbP+5gHZn9N+WF/5gr/ARBbrybKQWXCb7D4pJI0h692X8Bmsi6Y5VBVccgOxL49eZqDwPv3YDOfO4c5CJ1UcACx8yvYHTyfXAaLH5nA73BglgpYfcqmafstun6AzUydqXWgYOYDMFsMAFDUYlUGYZB+AAAB3XpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1UW47bMAz89yl4gQjiQyT1uUkWxaJYB2jT3qH/e3+UtJHIixXWighLHjHkzNgL5PXr+vPfBzwvui4LQP3m13uHv1xrXd4hb+D8+uNthcv95fzYudz+rPffgA5UYRufsS/32/tjB+ECJy1etbEDFnYhEqilbtc4SglshdFJWgCxG3qfABlucJJirNUanGpBb0QzpGRKLiRmTolkI9I2QbZEUmFBbRbPnRijva9ATWA8b8yaXWhUEbm/Am0HkiH2rUoTjTMTpAcSC6EF9QnszGw4AfYN2KU2x6w2+mLlCRArrMBFkD14OcUZbfP/RtyQWqvrVmVQVWWaM/WR4kyVs3G27jSjEnkDWm1NetTrJuLTjCkPB+fmXYBKQyKbUYktiqSCqEYaGTUy15mFMNVJXpgwCcRwiNgMuKkTHjNj3BkStKng6Ls1VJtGawG1Jjpt6HW9frL+/jKcb+t1vAw5aFg+FsDD2BhThntztGHRWIAOI0pMG3bDmD48JTH7cI7ExKNBJAPiwQiSAekguGRAPigrGVAOEkoGbAetchlSHESRLM8O5EsG9APHsoXnRhYcB58IqvvGKDjJPlKb68c3Ku6X/yAs7TtpIQ/2AAAA7npUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nB2Pu20EMQxEW3F4BrSCZvgVNrwCXITyq+CKN7mJQDySmsf3++/gnPO6Do98qvrUy99z8PN9XT5zuenAlFRy3JdNQbIJdmAX0RniK8e1JtLIZjKpEQ+TIN2KcYrCfayZFCALVWkirsW8/+DDGMC23g31ao8bkwg02SJS1c0KEKIW4Ss0mgAeUmJuZXxLxUXuwWkga6A8l5nVQIZqNkjhktGOO2m942uld1DpL5VGCkkZF+Z2E22ZrcvqtnaI1qseIoTPkCL4XOtujkZh6jl+v/+cfEtGxCBWKQAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAZwUlEQVR4nO2de1xU1drHf8PMcBmuKoqAAl5DMkXAC3mtvGCiUugxj9Kr5820jmKaH83K4Jh2ylNKb5nWOZrkJUNLRSSvFeIVwStIcLwjooAgyHVg5nn/2BMQMhdmZs+eGdb3wx+yZ81aD8539rPW2muvLSIiMBjGxkboABjWCROLwQtMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLzAxGLwAhOLwQtMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLzAxGLwAhOLwQtMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLwg0fBaWeFdpVLB/dvRtYOtg5NJQmJYAyINuyZ/GtW/8lFRw692ji4+fQa+8Opyj24BJomNYcFoOmMBsHdyHf0/7wGorX6cn3sx+1Tynatpcz8/3K6zr0nCY1gqWvpYtvay4LCZwWEzn33pjanLvh42ZX5t1eMLR3aaJjhr5bPPEBKCGTPQLFtcv46QEKxaJVBYRkXLGasZXfuEAHj88D6A6selV08e6BXyfH2d/NIvu+pqqweMeaVj1968hGld3L2LjAxkZGDcOLz6auPx6mpkZGDAAOEiMx6tE+vWldMAPLr1AVBWdC9p/dLA0dOyTuyvq6kC4D94HB8hWitubliyBOHhaN9e6FB4QItY8pqqjIPbANTLa+5kn8s+eaB74PDgsKiGApd/+2ni39f0HRFRW/3Y3tGV32Cti2XLsHw5li3Dv/8tdCg8oEWsmoqypPVLG351cHYLfGGa1M6h4Ujf4ZMDR08DILG14ylEa+XFF3H8ODZtwqxZGDpU6GiMjRaxnNp1+tuafQAU9XWPHtw5tWfjT5/Nf3Dr6uhZ73MFbO1lvMdovXz2GY4exRtvICMDUqnQ0RgVLaNCG7G4XWffdp193bv07Bn8/IyYba4dvU/v/aamosw08Vk3ffrgrbdw5QrWrRM6FGPTuks6Yqlte89uSkV9+cMCngJqa3zwAbp2xcqVyMtrPFhSgokT8Y9/IDkZhYXCBWcArROrtrL8wa2rNmKJa0dvngJqazg5Yd06VFZi2bLGg+fOISkJsbGYMAEeHvDywsSJiI3F/v0oKlJflzmhpY+lqKsruHYZgFJRX/og78y+b6rKS4LG/tVO5txi+ZqKsltXTvmHjjd+pNZLZCTCwrBzJ557TnUkOBg7dyI9HefO4fx5FBQgKQlJSapXe/ZESIjqJygIzi1/FAKjRazKsuJvFoU1/CqWSIPDZobNWdliYXl1xdcLx5aX3J/9z5+6+AcbM0xr54sv8MwziI1V/erujmnTMG2a6td795CRgZMnceIELlzAtWu4dg07/7j84emJYcMwdCiCgxEUBJl5jKY0XYTOTTtSL6/h/i2W2rp16trO09fW3pE7UlNZfuNCSjtPP88ezzS85ci3q0799JWLu9e8/zvi4NyO19Atl0WLEBeHS5fQr1/jwZgYrFwJAK+9pmlmq74eWVlIT1f9XL4MubzxVYkE/ftTUNCbwcGBISEh/fr1kwo02tQklh4oFfVblr+cl53ee+CYV1ZsEYlERqzcamhRrNpa9OuH3FwtYjWjvh45OaoLRBkZSE+Hn191To7qrCWRSHr37h38B4MGDbK1tTX2X9MyRhYLQHnxvY3Ro6sfP3px3uqBE2Ybt3KLRqnE559j3jzs349jx/DBB/D+8xAoJQU7dmDYMERFqalCG1VVuHKl6MyZHenp6enp6bm5uUqlsuFVmUw2YMCAkD/o3bu3jQ1fKz2NLxaA7FMHEv45Ryy1fe3TpM7d+xq9fgtl8WKsW4ewMPz8s4larKiouHjxYsYfZGdnN/24nZyc+vfv33A+CwgIMGKG4UUsAAc2LE9Pjm/v6fd63CF1Q8g2xdq1ePttSKU4cABjxggTQ0lJSXoT8ppOnQHt27cPCQnZs2ePzBj9f77EUtTJ/7Mk/P6NzKeHT5qydCMfTVgQCQmYPh1E2LLlT+tkhOXRo0eZmZknT548ceJEenr6/fv3nZ2dAwICjhw54mz4HAbxxsP8Gx9N7RUb7nnx6A/8tWL+pKSQvT0BtGaNnjVcuEA1NUaNqSXu3LkTGBgIYPv27YbXxqNYRHTx6A+x4Z6rp/QoupPLa0NmS1YWtWtHAM2bp2cNZWVkY0MSCQUEUFQUxcVRaipfnn3xxRcAIiIiDK+Kr1TYwN51Cy/9squTr/+ctckSW3te2zI37t3Ds8/i9m1MnIg9eyAW61NJTg6mTEF2NhSKxoP29ggMbJx/9/fXs/Jm3L9/v0uXLlKp9MGDBy4uLgbVZbibmpFXV345b3hsuGfSV+/w3ZZZUVZGgYEE0ODBVFlpaG0VFXT8OK1dS3/9K/XuTSIRAY0/Tk40YgQtXkwJCT9zUwx6NzRixAgYIxvyLhYRPbh5ddXL3WLDPa+k7DFBc+aAXE5jxhBAPXtSYaHx6y8vp9RUioujqCgKCFB5JpORRGIPwMXFZejQodHR0fHx8ZmZma3yzFjZkPdUyHHuwLfJG9+zc3SZ9/lhNw8fE7QoIESYNQvffQdPT5w6BT8/3lssKkJ6Oq5eLT1+fFZ6evq9e/eavtqxY8eQJnh5eWmoisuGEomksLDQoGxooJi6s3vNvNhwz28Wja+vk5usUUFYupQAcnam8+eFCSA/P3/fvn0rVqwYP368u7t7s0/c29t78uTJDx48UPd2o2RD04lVXVEW97+DY8M9D29aabJGTc/GjQSQVEoHDwodyh/k5+cnJibGxMSEh4dzntnZ2dXW1qorb5RsaDqxiCjv9/SVET6xE70yz/5iynZNRmIiicUkEtG33wodihqUSmVubm5ycrKGMgUFBWKx2M7OrqysTO+GTCoWEaXuWj8jYkynTp3y8/NN3DTfnD1LMhkBtHq10KEYjOHZ0NTbGA2NfKOs3q6wsHD69OmKpjMzFk5OTu7f/pZXVYW5c/Huu0JHYzBTp04FsGvXLv2rMKLmOlJYWMgNTGJjY03fOh8UFBR069atc2fv2bNz6+uFjsYYGJ4NBRCLiH777TexWGxjY3P06FFBAjAi5eXlQUFBAAYOHFhRUSF0OEZj5MiRALZt26bf24URi4hWrFgBwMPD4/79+0LFYDhyuXzcuHEAevTooWEAb4l8+eWXACZPnqzf2wUTS6FQPP/88wDGjx9vyCUIAVEqlbNnzwbg7u6em2ttV9kNzIaCiUVEd+/e5aZVPv30UwHD0Jv33nsPgEwmO336tNCx8IIh2VBIsYgoOTlZJBJJpdJTp04JG0lr+eabbwCIxeK9e/cKHQtfGJINBRaLiBYtWgTAx8fn4cOHQseiK0lJSRKJBMD69euFjoVHGrLho0ePWvte4cWSy+VDhgwBMGXKFKFj0Ym0tDRHR0cAMTExQsfCO3pnQ+HFIqLr16+7uroC2Lhxo9CxaOHatWseHh4AZs6caaFjjlahdzY0C7GIKCEhAYC9vf2FCxeEjkUtRUVFvXv35kaydXV1QodjCvTOhuYiFhHNmTMHQK9evcrLy4WOpQUqKytDQ0MBBAcHP378WOhwTId+2dCMxKquru7fvz+A2bNnCx1Lc+rr6ydPngygW7duBQUFQodjUvTLhmYkFhFlZWVxd0t+9913QsfyJ958800AHTp0+P3334WOxdTolw1NtDRZdzZt2vTaa6/JZLLVq1d7e7ewvVtlZaW86QYrTSgtLW3xeF1dXUVFRYsvVVVV1dbWtvhSWVkZt/HBzZs309PTHRwcjh07xmXDtsaoUaNSUlK2bds2Y8YMXd/Dm+j68+KLL3bo0IHP/6hW4+rqukbv+00tHz2yYeseIGAa/Pz8kpOT/f39n3nmmSdfdXR0VLcXj5ubW4vbWkilUienlh9dJpPJ7Oxa3kjc1dWV24wlPj7+wIEDDx480PUPsDqmTJmycOHCgwcPlpWVcRND2uFPc73p1q0bgDNnzggdiIqTJ08C6Nq1a1uYuFJHa8eGZvcgzPPnz9+8edPLy2vQoEFCx6IiNDTUx8cnLy8vLS1N6FgEo7VrSs1OrD179gCIiIgwn90ARSLRyy+/DAOX6lo4U6ZMEYvFXDbUpbyZivXSSy8JHcif4L6vCQkJZGaDaJPh4eExbNiw2trapIbdmzViXmJdu3YtKyvLzc2Nu0vEfGDZEK3MhuYl1k8//QRg4sSJJtuDVUdYNkQrs6F5icVfHqytrS1VQ15e3o0mNN0NtiksG3p4eAwfPry2tnb//v3aS/M4Qm0lBQUFNjY2Dg4O6u51KS4u7t69e/fu3d3d3du1hK5TLBpRt95QqVT6+PjAnOZBTM/69esBTJo0SWtJM5og3bNnj1KpHDduHLeM7kmI6MaNG/pVbmdnp27PVicnp6a77KsbjXLZMC4ubteuXYMHD9YvDEsnMjIyOjr60KFD2mdK+bdcV8aMGQMgPj5eXYH6+vrr169fv369qKiopCX0WEHbKthMKRGNGjUKwNatWzUXMxexSktLbW1tJRJJUVGR0LGohWVD0jkbmkvnPSkpSS6Xjxw58sn9nMwHNjYEEBkZKRaLuWyooZi5iGWe86JPwsaGOo4NzUKs6urqQ4cOiUSiSZMmCR2LFthMKXSbKTULsQ4fPlxZWTlw4MCuXbsKHYsWRCJRZGQkWDbUlg3NQixLyYMcbSEbNtsetxm6ZEPhxVIoFAcOHAAQEREhdCw6MWTIEB8fXxeXMenpJULHwgs7duzo2bMnd0OeOrSetoUXKyUlpbi4uE+fPv7+/kLHohMikWj69NysrE0//GBe66eNwq+//jp79uzq6uqCggINxS5cuCCTyWbNmqW2hCmmPjQyf/58AO+++67QgbSCU6cIoK5dycomSi9fvszNpy9dulRDsQ8//BCAvb19amqqujICi6VUKrkO+7lz54SNpFUoleTjQwBZ00RpXl5ely5dALzyyisKhUJdse3bt4tEIhsbm927d2uoTWCxuEG7t7e3xV0kWbSIAHr7baHjMBIPHz7kuiKjRo2qUf9ssWPHjnErmj7//HPNFQos1vLlywEsWLBA2DD0wJqyYXV19bBhwwA8/fTTpaWl6oo1JMply5ZprVNgsbhvyS+/WN7zBJRK8vUlgCx9Nz+FQsEN8by9ve/cuaOu2M2bNzt37qw1UTYgpFg5OTkAOnToYKE7t3DZcPFioeMwjIULFwJwcXG5dOmSujLFxcW6JMqmCCnWRx99BGDWrFkCxmAIVpANP/nkEwC2trYa9kWvqqriEmXfvn01JMpmCCnWwIEDAezbt0/AGAzB0rPh999/b2NjIxKJNCyu0jFRPolgYt29e1ckEslkskrDHz8qHJabDX/99Vdub4G1a9dqKMYlSldXVw2JskUEE4t7dllkZKRQARgFC82GmZmZbm5uAN58800NxXRJlOoQTCzu6QF6P1HDTLDEbHj37l1uUnrq1Kkaxne6JEoNCCPWw4cPJRKJVCotKSkRJAAjYlnZsKysrF+/fgBGjBhRXV2trpiOiVIDwoi1ZcsWAGPHjhWkdeNiQdmwtrb2hRdeABAQEKDhK92QKBcb8HURRixuP88NGzYI0rpxsZRsqFQqo6KiAHh5ed26dUtdsYZE+Ze//EWXiVB1CCBWZWWlTCazsbGxmoesWkQ2XLx4MTcRqmHDcx0TpS4IINaPP/4IIDQ01PRN84T5Z8OvvvoKgFQqPXz4sLoyOiZKHRFArJkzZwKwpi09zTwbJiQkcOM7DTcDK5VK7nPRnCh1x9RiyeXydu3aAcjJyTFx07yyeTNt3Upm+OSD48eP29vbA/jkk080FOMelaU5UbYKU4t1+PBh7qqTidvllY8/po8/ptu3mx//+Wf6+GMqLBQiJiIiysrKat++PYC5c+dqKMbd3Kw5UbYWU4v1xhtvAFixYoWJ2+UVgAAaP7758TlzCKDLl4WIiSg/P9/X1xfAxIkT69U/A12XRKkHJhVLqVRyi1/Pnz/fYgELfVg3QCIRAfTjj386LqBY5eXlgYGBAAYNGqThamxKSgqXKI3e5TWpWKdPnwbg6+vb4kLkq1evtm/fPi4uzuKWKQMUGkpdu5KnJzXd8EYoseRy+dixYwH07NmzUH0mzsrK4vq78+bNM3oMJhVr6dKlAN56660WX121ahV349DkyZPNec+ZJwHo+edpyxYCqOkfJ5RYmzZtAtC5c+cbN26oK6NjotQbk4r11FNPAUhJSVFXYPfu3Vxn08PDIzk52ZSxGQInllJJgweTWEwZGarjAqbC1atXZzTE8QRlZWVcohw8eDBPy5ZMJ1ZmZiYAd3d3zQuR79y5wz0EQSQSRUdH67gQVlg4sYgoLY1sbGjQIOKuhQjbeVeHXC7n9rjTnCgNxHRiHT582MPDo1evXlqfIqlUKuPi4rjbjPr27XvZ3D6ZJ2gQi4jmziWAuGeQN4h14QIdP07m8PRMpVL56quvAvD09Lx58yZ/DZlOrLq6Oj8/P+6LcvbsWa3l09LSevXqBcDBwcHMe/RNxSopoY4dqV07KipqFCsqSjUl0b07RUVRXBylppIgK2e5bq6zs7OGRGkUTNrHys7ODgoKAiCRSGJiYrT2GSsrK6Ojo7kefUREhNn26JuKRUSbNxNA8+c3ivXhhxQURFKpSi/uRyqlAQNozhz6+mvKyCC5nPc4N27cyE2EHjx4kO+2BLikExMTwz2uLTQ09Pr161rfsnPnTm55kJeX19Gjajv+gsCdRpuJpVTS0KEkldKIEX/qY8nllJlJ8fEUHU1Dh5KtbXPPAgIaz2e1tUYONTExUSwWi0SizZs3G7nqlhBmPdbRo0e5p6e6urrqsjqZ69Hb2EgGDCiNjiYz6dDHx9PIkVRT01wsIrpypfH8pK6LWFFBqam0bh3NmEFPPaWaYm34cXSkYcNo0SLatetWTk6OgT2Bs2fPcruRr1q1ypB6dEewNe9FRUXccj8AUVFRWnv09fX1X3xxUSIhgIKCSNhHMz9+3Nht2rq1BbGI6K23tIjVjPJySk2luDiKiqKAgEbPRo5cwvWKhg4dGh0dHR8fn5mZ2SrP/vvf/3bs2BHAnDlzdH+XgQh8i318fDz3uAA/P78TJ05oLZ+WRr16EUAODhQXZ4IAWyAzk55++k8xtChWeTl5e+s/3VBcTAcP0ocf0uuvv//ks7Hd3d3DwsLef//9vXv33r17V0M9hYWFPXv2BDBhwgRT3nEu/P5Y2dnZAwYM0L1HX15Or7+u+jZHRFBxsWnCVBEfTzIZARQQQFeumK7dkpKSI0eOxMTEhIeHe3h4NPPM09MzPDw8JiYmMTHx/v37De8qLy/nRksDBw408XVY4cUivXr0u3dT+/YEkIcH/fyzCWKksjKaNk0ldFSUMJMFDdy+fXv37t3vvPPO6NGjuZFNU3x9fSMjI1etWhUaGgqgR48eTW0zDWYhFkfTHv327du1lr99WzXsEokoOtr4w6impKVR9+4EkIsLff89jw3pR35+fmJiInc+466JNRjWqVOna9eumT4kMxKLWt+jVygoLk41/goO5qVHr1RSXJxqaiAkhIT4jFqHQqHIysqKj49fsGDBoUOHfhdomGNeYnFs2LDBwcEBgL//0+fOaZ9aOH1adTpxdKT//MeYkRQW0vjxJjopWhnmKBb90aMfNepXiYRiYkjrso6GHr2aJTn68Msv5OVFALm7U1KS0aptI5ipWERUU1OzZImCm84ZNYp02UJn714y7GY4FfX1FBNDYrGqaY3DeUbLmK9YHEePqmaDXF1Jhw69EcjLo+HDCSCxWKeTJaNFzF0sIioqokmTGsf5vC4+SUykDh1UsxjGu2OlLWIBYnHEx5OjIwHUrRudPGn8+uvqKCaGbGwIoNGjqaDA+E20KSxGLCLKzqYBAwggHXv0unPrFg0Z0lizAXthMFRYklhEJJc3nleee47y8oxQ548/kpsbAeTrS6dOGaFCBlmcWBxHjqgmAlxdaccO/euprqboaFXv7aWXyPI3gTMjLFIsIiosNLRHn51N/foRQPb2gi2UsGIsVSyOpj16LotVVVFCAiUkUFVV88KpqZSQoJo9b3ijvz9dvGjqsNsCli0WEV29SoGBjf3uO3dUp7H3329ecsIEAujmTZo+XVVm9myyzHv6LQDhH4RpIH364PRpLFwIhQJffYXSUtXxNWtw9WoL5ZVKnDkDZ2ds3YrNm+HoaMpg2xAispYHGx88CAD9+sHbG8OG4dw5DBqElBSIRKoC4eE4cADFxbh1Cy4u6NVLwGCtH4s/YzUQFoawMNW//fwwfz5SUxEf30LJ4GBmFe9Yj1jNiImBpyeWLEFRkdChtEmsVixnZ6xejYcP8c47QofSJrFasQDMmoVnn8W33yI1VehQ2h7WLJZIhK+/hkSCBQugUAgdTRvDmsUC0Lcv/v53XLqETZuEDqWNYeViAVi5Et7eWLEC5eVCh9KWsH6xnJ3xr3+hsBAnTggdSlvC+sUCMH06XngB1jITbBm0CbEAbNgAOzuhg2hLWM8lHQ6FArdvw8kJnTo1fyk/H7W18PWFWCxEZG0MaxOLYSa0lVTIMDFMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLzAxGLwAhOLwQtMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLzAxGLwAhOLwQtMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLzAxGLwwv8DA8GXk8LzaZUAAADuelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAC4g5gbiBkZlBgUgzcjmoAGkmFnYHDJANDMjO0SAGUbDJTAZCCUQM7gZGBkYmRKYmDOYmFkSWFgTWNkymNjYE9g5Mpg4OBM4GTOYOFkSRJhYGYHynGysbOwcnCziTSBnwN3HGa9+QOrXBXuwwzfe2R8odssOxDbz4z6wtKNhP4idc7lkf5f+BzDbXrvBjtO1Bsw2Ubtjbz1rCZitdEjXIbZIfR+IXZHM7xBluhBsplS4q73g2uNgttyU1H1tLA/A5osBAIoXML71nDIfAAABRnpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2SUW7DIAyG33MKX6DINjbEj01STdPUVNq63WGv0+6v2ZlSWg0NcATkM9i/GSDa6/Ly+Q23xsswAOA/w8zgIyPicIaYwHR6el5hvh6nfWe+vK/XNyAEIvfx/sger5fzvkMwfcGBUyGlWoBSyewDMOHWmi/DDAdKlYU0+39hNe2BOUBOflwRCxdEoYodUmCFAybTkpWCHGsRn/0l1UlMrJh9ES6jCo8dsPjlHiSZUYkTefQoawesDrKDYlXiRPIYuJfOuIEsKBL6eNYivRBtC7FWHIvLmlTNinU4L8scF7ILaZGC5KpZO+RpXR5q9Vu96bIurXrRuZVI3HIrhIQ1taNrk9QXUJpw4labPOI2NhHEzVqu4kb3OUl8bpH4w9s29D6X+8hjvb9Znw8/1u2Smt2LiQ4AAACjelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicHY47DkMxCASvkjKRHASY5SN3uYr7V6R+hw9OQzHsLHy+W7Zee++rpzzu51vJBZJDyKf6HOstFGqCwWSKgjZi0kaVh83AxFhMEZzeHlAVYympsaFBW2YHhFhv2haf0C7qaqnS0Tc0UX5qFDznCVXCNP/XCi3IiWV4d65+U8IdBzGbxHjdPwySKvllG2v7AAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>[AP_0, FP_0]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.997180</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>[AP_2, SE_4]</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>0.999733</td>\n",
+       "      <td>[AP_0, FP_1]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999986</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>[AP_2, SE_5]</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>0.999998</td>\n",
+       "      <td>[AP_0, FP_1]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999856</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>[AP_2, SE_6]</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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Z2cDcHR0NH3Xubm5KSkp2np/eXl5bJzRc4lZRFE6OzuzRc2YmBjd9vv376eJVB3ZDJ0OLBNJN4LDZDg4OHh5eWkXxKrl9TCJ4qtGrVaz+eCtpwVTIiMjJRLJW2+9JYo9J0+eBNC+fXtReq/Io0ePRo4c6eTkJJPJAgIC/v77bxGNuXHjBgB3d3c955iLsOjp8tN3T+tsX716FUDz5s1FeUPUCv3mzZum770cN27c6NKlCwB7e3v2nHBwcNi4caNYnjYW3u3p6annHDMSVkREBIDxOnW2WT2Zs2fPimIPC2jWExliGuLj41nl2W7duqWlpd29e/f1119no42Pj8+VK1dMaUx2drZcLrezs3N2dtZf3tGMhJWeng6gSZMm2iV0liuhP7hPODZv3gxgjCjJVk9RKBQsamjUqFG67qt9+/axcmWWlpahoaH6Q2SNwuPHj1etWsVSCiQSyfjx43PK1aJ8HjMSFhGxB7621AR7y/Xz8xPFmNu3b0skksaNG5vgz1aRkpKSefPmsb9iaGhoxflAbm7u/PnzmTuwffv2R48eFciSoqIihULR6umWtv7+/r/99luVV5mXsBYuXAhg6dM623l5eZaWlpaWlvozI4TDw8MDQFxcnIn7zc7Ofu211wBYW1tv1xugm5CQwL6NEolk8eJ1xv09FRcXR0ZGajOX+vXrV335mpewmIfXy8tL2+Lj4wNgz549otjz/vvvA/jwww9N2WlqaiqLkHZ2dtatbaxSqcLDwytO2IuLi8PCwho1atSrV1arVhQZaQQbSktJqYxice4AevToceDAgRrdwbyEVVBQUC7O7pNPPgEQEhIiij1scyzdxVehiYqKYvOYnj176i7xpqene3l5AVhdSY7OtWv3BgwoCygZO5bS0w23ISaGevakPn32A+jUqVNkZKQBL+bmJSyqUGf79OnTAF566SVRjCkoKLC1tZVIJKYJKAgPD2ergW+++aZKpdK2nzt3jkUTuLu763kN1GgoMpKcnMpKvYeFUU0XXWNjydu7TJ3t2tEPP/xq8Aqb2QmrXJ3t0tJS9rKtTTwSjoyMjIULF5bLDxs5cqQJnA6FhYUzZsxgUyW5XK473v388882NjYABg4cWJ2dQTIyaOrUMnH070+XL1fLgORkGjKk7KrmzSksjKraJKUKzE5YV65cwfN1tidNmgTghdnPRuT+/fuvvPIKgPfee0+3PSAggBUMfvnll4OCgpRKpf7XbAPIzMz09fUFYGdn98svv2jbNRqNXC5nK/RBQUE1ynbcv59cXQkgS0sKDaWCAlKpSOchSLm5xMY3gerhmp2w6Klf9Ny5c+xw69atAAICAoTrMScnh+291q1bN91dIVkiuVQqZWkdDAsLC29v748++ig6Olp3wDKMCxcusOp4bdq00XUFP378mC3MW1hYfP311wbcOS+P5swpK3fbqRNNn06tWz+reOviQsnJ5XdJefiwlp/mGeYorJkzZ0KnznZGRoag/qSHDx/27t2bTVQzdOrChoeHs7EpIiKipKQkJSUlLCzM39+fhSJpRaaNiTXAvF27dtna2jIf+j2degW3bt1i20k4OTnV0kGVlEQeHjRyJAUHU+fOtHBhWbuLS1klCLZLitHr4ZqjsHbt2oXn62x7enoCEMIHmJubyzaN6dChgzbNl4giIiIkEolEIvmuwh7BLJE/NDTUx8ensiJvVQ5bGo0mLCyMuTdnzpypO7FLTExkg2/Hjh2rvxOEHoqKKCuLgoNpwwZydyf2WHRxoT//pCVLavX+qAdzFNbDhw8tLCwsLS21ixgffPABgCVLlhi3o7y8PG9vb+a5vn37trZ98+bNTFVVztl1E/l1i2yxGl2VJfIXFBRMmTIFgEwmKxcAHRERwQJjRowYYVy3cHAwbdlCu3dT375UWkouLqTzPTI+5igselo0Z+/eveywOsvpNeXJkydsyuzm5vbHH39o27ds2aKnWJIeWCL//PnzmcNJS7NmzQICApjINBrN7du32chrb2+/f/9+7eVqtTo0NJRdMn/+fKPHZzNhEdGoUbRpU0MV1sqVKwHMmTOHHRYVFdnZ2UkkkjtG+mWoVKpBgwYBcHV1TUtL07Zv27aNDU+ff/55be7/999/R0ZGTps2jfmftLRu3Zr5Pzt27Ki7AXNOTg7Lcra2tt66dWttuq4MrbBu3KC2bcnJqUEKKzk5uZxfdPTo0T169EhJSan9zfPz89lKXJs2bXTDrapZLKmm3Lp1KzIyMigoiMUjODs7u7u76/osrl+/ztL0mjVrduLECSN2rYtWWEQklxPQIIWlVqv/8Y9/QCc501g1q4qKikaNGsVcZb///ru2XVssqbI1k9qj0WiY68TFxUV3pGPLVr169UoXaCJNRESHD5N2t9SCAvriCxI0U8RMhUVEb775JoD169cb8Z5FRUUBAQEAWrRoobs2oi2WtHLlSiN290JYMILu7Eqj0axbt672LjH9qFRkZUUuLmSaICDzFdaWLVsAjB492lg3LC4uHjNmDIDmzZtf1lnpOHTokNGLJemBbYJs+vhBVji2b18TdWe+wrp7964R/aJqtZo9Ah0dHXUd3IcPH2Ze9XIrOcKRmZlpbW1tYWGh6+AwAaGhBJDJIoDMV1hE5ObmJpVKhw0bplAoalkJg01unJycdHdkjY6OZqpaqHVImwQWTV+jype1p08fAshkOwKar7C++eYbiUTCqjkwWrVqFRgYqFAodN1O1Wf58uW6L5Xx8fEs42XWrFkmTndhYV5ubm4mKyaQm0syGVlZUTXq/RgHMxXW999/z7yUcrn822+/DQwMZMEzWjp06BAcHLxjxw7DSu+JWyxJo9Gw4MwjpnqA7N1LAFW+pZLxMUdhVbZRgLYgu+5jDDoBLdnZ2dW5f1JSkujFktjWZa+//rppulu4kACqvCq78TE7YVW5UQARqdXqlJSU8PBwVvVfq7Dq7Exx6tQpdom4xZIyMjJYnohpYlM9PQmg48dN0FUZ5iUsA3zfugEt5aKmKhZ5O3fuHHvavfHGG6KXtRk7dmzt146qQ1YWSaVka2siDxbDjIRl2EYBuqhUqujo6A8//NDb25sFjzNYkbe5c+c2bdqUDUCiq4qI2BZR7u7uQk/ydu4kgIYOFbST8piLsI7t3Vv7jQJ0efLkScWdKRwdHSdMmGAmO5qUlpay2FGh8xZnzyaATJxPbh7CiorSODou6tFDIN93Zmbmrl27lixZcv36dTNRFYNtdTRlyhRBe+nYkQBKTha0k/KYgbAOHSJrawLUH38stimmJj09XSaTWVtbVyf9xjDu3CGAmjQhEw/+Yhdei4nBhAkoKsKCBbJPPxXZGJPTpk2bYcOGFRUV/fTTTwJ1ERsLAIMGwcKgPU8NRlRhJSRg/HgUFmLWLJh8owAzQXcTbyHuHxcHAIMHC3FvfUj0fB6lUuns7Ozt7W0pxKbiSUkYMQJPnuCdd7BpE+rIrsxGR61Wt23b9u7du0lJSSwgu0oKCpCbW/7fsGFwd3/Bye3a4a+/cOECunc3suX6qfT5SETvvvtuVlaWra3tq6++6uPjM2DAAD8/P+OI7NQpjByJJ0/w9tuIiGiwqgJgYWExffr0zz77bNOmTbrC2rp16++//55bgXbtrp0541TxPjt2vEBYWVkoKkKzZujWTdAP8SIqm3w9fvx43rx5Hh4eusknDg4OY8aMCQ8Pv3jxouHel7NnydGRAJo2jUTdKMBMSEtLk0qlNjY2uvHKgysZvfr1S7exodatqUsX6t+fRo6kyZMpJIR0S1ZlZ5NS+SxH/tgxMm3dPyIifUMh4/79+3FxcXFxcceOHbt586a2vWXLlmlDh9r6+OC11/D8BpNVsH495s/H5MnYvh06bsyGjL+//9GjRzds2DBnzhzWsn379oyMDEdHRwcHh6ZPcXBwcHJyqrJw8unT6NcP//oXVq4EgH/9C5aWWL5c6A/xPDWSYUZGBttFsl27dj07d362E1PLlhQYSAoF6WS8lHHvHi1bRmPG0NSptH07sefcwYOmfv01b3bs2AHj5bclJ1OvXvTSS8TygJYvp08+McqNa0DVT6zKeHjzpuOxYzh2DHFxePDg2Q/c3TF4MF57DYMHw9ERnp6YPBmTJiErC++/j7Fj8fHHRvlK1CeKi4tdXV0fPHhw5swZlnVYfQoLn5vF5+XBxQUff4xZs7BtG2JjIZeL8MQyXFjPkZaG2FjExuLoUeTklDX27Ik5c7BnDw4cKGv54w/07ImMDNjYGKHT+sXixYu/+uqroKCgdevW5eXl6U7YtYcPHz60sxt/5coIXSUVFZW/1d69+PJLnDgBPz8EByM1te4KS0tpKc6fR1wcjh1Dnz54+BDOzvjoo2cnuLkhKgoeHsbstF6QmprapUsXCwuLkpISPaf5+HyblBSi22JlhaZNy/45OKBpU0yfjs8/R3w8Ll3C6NGYMAGOjqYWlrHdsTIZevdG79744AMACAkp7/G1tITeX1yDpVOnTsePHw8JCUlLSys3YW/atKmjoyM7bNGi59Klz5TUtOkLnv6nT5f9p1s3TJyILVvw3nsm/jRGF1Y5OnVCSsqzw+xs3LuHpyVTOeXw9fW9cOGCcd3RK1Zg504j3q+6GHsoLMfDh+jSBRERGDMGKhVmzYKTE9avF7BHDlBUhOxsODuXHWZlQSbD8+HcgiOwsACkpGD5cvzxBywtMXQo1qyBTpwnp74ivLA4DRKxw2Y49RQuLI4gcGFxBIELiyMIXFgcQeDC4ggCFxZHELiwOILAhcURBC4sjiBwYXEEgQuLIwhcWBxB4MLiCAIXFkcQuLA4gsCFxREELiyOIHBhcQSBC4sjCFxYHEHgwuIIAhcWRxC4sDiCwIXFEQQuLI4gcGFxBIELiyMIXFgcQeDC4ggCFxZHELiwOILAhcURBC4sjiBwYXEEgQuLIwhcWBxB4MLiCAIXFkcQuLA4gsCFxREELiyOIHBhcQTh/wHL/BddY2bj/gAAAZl6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAUSAWB+IGRjaGBCDNyMzBoAGkmZnYHMA0C5tDBohmZkQIoEmwQwSYYTSSDnQGQgkOw+G2Q12DS5ybgZGBkUmBiTmDiZklgYVVgZUtgY09g4mdI4GDM4GTK4OJizuBmyeDiYc3gYUvg4mPP4FfQEFAkIFfKINJSFhBWIRBiCmBlzWDiZcjQYSZjUmIn4+FmZWNlZeDnY2Ti5uHl0OcjRFoEzyg1Pnm7+dWzXIAccp2Cx3Im64KZte9+7g/0WqSPYit9vX+PttDLmB28Gy+vbvUdPeD2FE1W+3n57SB2ccF/9jH18ocALEtb8Y6FDeLgdm3jpY6JGmngdWszF/q8P5k4D4Q+2bFcof2WUvBZk5/VevwxoMNbK/cRQ2HtK2bweIH9qk4fH16cC+IveBu1/5p6+6DzclKVzoQcnU9mH12duoBtwqIvSZeCw8s7WYBsxdp2xyo/TTRFmzmpJ4DKx8+tgOxrUpmHnj25iPYfDEAqEFuTAdn1XEAAAIMelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZRNbhsxDIX3PoUuEIF/EsllbAdFUcQGWrd36D73R0kNHCmA0BmLmBl/I5N8jz6VPH5ef/z9KJ8HXU+nUuA/H3cvfxgATu8lL8r57dv3W7k8Xs/PJ5f779vjVyEsxPFOnF/Z18f9/fkEy6W8YCWhjl649mYNsUCFccxXqdzLC1Vy6k6FajPlbhuQjx3NARwLVhQS0A0oCUIVVsH8Xrs18w3YDhBYDHtede2stCF7kFhjO2uaSUADdNiAOkCPUpyzLJGGbbejlVt0RXpnGyA3VOUN6AM0AQLMHM09tNqAGAKVVrG72SAJxLbVIA6SmBtQpBu5qu5ajhQgRzkqwqENuGUWG5AjS6rRvehgdgrYt9VgihMihzRCo/kuXXcqYjv0BhMzyysVjWbu0JQnethYW6dEOTzk24o07cbpss5yKCQm25osd20VohiwREERaFuVHwm4APYBKFLfkQT5+1LZyTjLDoOAbediTJBU9SZs5TC+7OR8u12/jN4xjOf77TqHMU+aIxc3hedgSa45Pnm2OSQYq89JkFg6/S6xbLpaYvn0rsTC1aKSAXGxomRAWjwnGZAXc0kGlMVFkom1xSySAfviCRxBF+lxBFsUlsH4IiRmoFUwzEC4CCPJfOZHI2OZPSI+Hviq0KpH3j//WOP69A8zkw6MJCWMGQAAAQt6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJwlkMutQjEMRFt5S5CC5f9HLCmAIrKnAop/k8smSk7G9nhe7y173x5bt3323h+cegd5v+5b3q+/7+0hpK6pyyijQ9bzoaSjOUspuqxAhHqYZwmJqx8Nk1u51GKq7Oi5GJu3pCxcs9JK11MIqs6FHhws0KEtKv2IeBy6i0FdiQHONhhpNFnu8MDTaBOkZoF/Has+b8npPk2Uvc8ko3bWQ3qGZw7xTINIyUKqjpvJ0TnEPSSu3bgd/nEpr9ArgLCKy7P9ArATRdqvztuBghhe5SAu4V/dOEsiExBNMzAnG0UBn4HccqGawG6/VH3dv/8zZFeGJb6TEQAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAZwUlEQVR4nO2de1xU1drHf8PMcBmuKoqAAl5DMkXAC3mtvGCiUugxj9Kr5820jmKaH83K4Jh2ylNKb5nWOZrkJUNLRSSvFeIVwStIcLwjooAgyHVg5nn/2BMQMhdmZs+eGdb3wx+yZ81aD8539rPW2muvLSIiMBjGxkboABjWCROLwQtMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLzAxGLwAhOLwQtMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLzAxGLwAhOLwQtMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLwg0fBaWeFdpVLB/dvRtYOtg5NJQmJYAyINuyZ/GtW/8lFRw692ji4+fQa+8Opyj24BJomNYcFoOmMBsHdyHf0/7wGorX6cn3sx+1Tynatpcz8/3K6zr0nCY1gqWvpYtvay4LCZwWEzn33pjanLvh42ZX5t1eMLR3aaJjhr5bPPEBKCGTPQLFtcv46QEKxaJVBYRkXLGasZXfuEAHj88D6A6selV08e6BXyfH2d/NIvu+pqqweMeaVj1968hGld3L2LjAxkZGDcOLz6auPx6mpkZGDAAOEiMx6tE+vWldMAPLr1AVBWdC9p/dLA0dOyTuyvq6kC4D94HB8hWitubliyBOHhaN9e6FB4QItY8pqqjIPbANTLa+5kn8s+eaB74PDgsKiGApd/+2ni39f0HRFRW/3Y3tGV32Cti2XLsHw5li3Dv/8tdCg8oEWsmoqypPVLG351cHYLfGGa1M6h4Ujf4ZMDR08DILG14ylEa+XFF3H8ODZtwqxZGDpU6GiMjRaxnNp1+tuafQAU9XWPHtw5tWfjT5/Nf3Dr6uhZ73MFbO1lvMdovXz2GY4exRtvICMDUqnQ0RgVLaNCG7G4XWffdp193bv07Bn8/IyYba4dvU/v/aamosw08Vk3ffrgrbdw5QrWrRM6FGPTuks6Yqlte89uSkV9+cMCngJqa3zwAbp2xcqVyMtrPFhSgokT8Y9/IDkZhYXCBWcArROrtrL8wa2rNmKJa0dvngJqazg5Yd06VFZi2bLGg+fOISkJsbGYMAEeHvDywsSJiI3F/v0oKlJflzmhpY+lqKsruHYZgFJRX/og78y+b6rKS4LG/tVO5txi+ZqKsltXTvmHjjd+pNZLZCTCwrBzJ557TnUkOBg7dyI9HefO4fx5FBQgKQlJSapXe/ZESIjqJygIzi1/FAKjRazKsuJvFoU1/CqWSIPDZobNWdliYXl1xdcLx5aX3J/9z5+6+AcbM0xr54sv8MwziI1V/erujmnTMG2a6td795CRgZMnceIELlzAtWu4dg07/7j84emJYcMwdCiCgxEUBJl5jKY0XYTOTTtSL6/h/i2W2rp16trO09fW3pE7UlNZfuNCSjtPP88ezzS85ci3q0799JWLu9e8/zvi4NyO19Atl0WLEBeHS5fQr1/jwZgYrFwJAK+9pmlmq74eWVlIT1f9XL4MubzxVYkE/ftTUNCbwcGBISEh/fr1kwo02tQklh4oFfVblr+cl53ee+CYV1ZsEYlERqzcamhRrNpa9OuH3FwtYjWjvh45OaoLRBkZSE+Hn191To7qrCWRSHr37h38B4MGDbK1tTX2X9MyRhYLQHnxvY3Ro6sfP3px3uqBE2Ybt3KLRqnE559j3jzs349jx/DBB/D+8xAoJQU7dmDYMERFqalCG1VVuHKl6MyZHenp6enp6bm5uUqlsuFVmUw2YMCAkD/o3bu3jQ1fKz2NLxaA7FMHEv45Ryy1fe3TpM7d+xq9fgtl8WKsW4ewMPz8s4larKiouHjxYsYfZGdnN/24nZyc+vfv33A+CwgIMGKG4UUsAAc2LE9Pjm/v6fd63CF1Q8g2xdq1ePttSKU4cABjxggTQ0lJSXoT8ppOnQHt27cPCQnZs2ePzBj9f77EUtTJ/7Mk/P6NzKeHT5qydCMfTVgQCQmYPh1E2LLlT+tkhOXRo0eZmZknT548ceJEenr6/fv3nZ2dAwICjhw54mz4HAbxxsP8Gx9N7RUb7nnx6A/8tWL+pKSQvT0BtGaNnjVcuEA1NUaNqSXu3LkTGBgIYPv27YbXxqNYRHTx6A+x4Z6rp/QoupPLa0NmS1YWtWtHAM2bp2cNZWVkY0MSCQUEUFQUxcVRaipfnn3xxRcAIiIiDK+Kr1TYwN51Cy/9squTr/+ctckSW3te2zI37t3Ds8/i9m1MnIg9eyAW61NJTg6mTEF2NhSKxoP29ggMbJx/9/fXs/Jm3L9/v0uXLlKp9MGDBy4uLgbVZbibmpFXV345b3hsuGfSV+/w3ZZZUVZGgYEE0ODBVFlpaG0VFXT8OK1dS3/9K/XuTSIRAY0/Tk40YgQtXkwJCT9zUwx6NzRixAgYIxvyLhYRPbh5ddXL3WLDPa+k7DFBc+aAXE5jxhBAPXtSYaHx6y8vp9RUioujqCgKCFB5JpORRGIPwMXFZejQodHR0fHx8ZmZma3yzFjZkPdUyHHuwLfJG9+zc3SZ9/lhNw8fE7QoIESYNQvffQdPT5w6BT8/3lssKkJ6Oq5eLT1+fFZ6evq9e/eavtqxY8eQJnh5eWmoisuGEomksLDQoGxooJi6s3vNvNhwz28Wja+vk5usUUFYupQAcnam8+eFCSA/P3/fvn0rVqwYP368u7t7s0/c29t78uTJDx48UPd2o2RD04lVXVEW97+DY8M9D29aabJGTc/GjQSQVEoHDwodyh/k5+cnJibGxMSEh4dzntnZ2dXW1qorb5RsaDqxiCjv9/SVET6xE70yz/5iynZNRmIiicUkEtG33wodihqUSmVubm5ycrKGMgUFBWKx2M7OrqysTO+GTCoWEaXuWj8jYkynTp3y8/NN3DTfnD1LMhkBtHq10KEYjOHZ0NTbGA2NfKOs3q6wsHD69OmKpjMzFk5OTu7f/pZXVYW5c/Huu0JHYzBTp04FsGvXLv2rMKLmOlJYWMgNTGJjY03fOh8UFBR069atc2fv2bNz6+uFjsYYGJ4NBRCLiH777TexWGxjY3P06FFBAjAi5eXlQUFBAAYOHFhRUSF0OEZj5MiRALZt26bf24URi4hWrFgBwMPD4/79+0LFYDhyuXzcuHEAevTooWEAb4l8+eWXACZPnqzf2wUTS6FQPP/88wDGjx9vyCUIAVEqlbNnzwbg7u6em2ttV9kNzIaCiUVEd+/e5aZVPv30UwHD0Jv33nsPgEwmO336tNCx8IIh2VBIsYgoOTlZJBJJpdJTp04JG0lr+eabbwCIxeK9e/cKHQtfGJINBRaLiBYtWgTAx8fn4cOHQseiK0lJSRKJBMD69euFjoVHGrLho0ePWvte4cWSy+VDhgwBMGXKFKFj0Ym0tDRHR0cAMTExQsfCO3pnQ+HFIqLr16+7uroC2Lhxo9CxaOHatWseHh4AZs6caaFjjlahdzY0C7GIKCEhAYC9vf2FCxeEjkUtRUVFvXv35kaydXV1QodjCvTOhuYiFhHNmTMHQK9evcrLy4WOpQUqKytDQ0MBBAcHP378WOhwTId+2dCMxKquru7fvz+A2bNnCx1Lc+rr6ydPngygW7duBQUFQodjUvTLhmYkFhFlZWVxd0t+9913QsfyJ958800AHTp0+P3334WOxdTolw1NtDRZdzZt2vTaa6/JZLLVq1d7e7ewvVtlZaW86QYrTSgtLW3xeF1dXUVFRYsvVVVV1dbWtvhSWVkZt/HBzZs309PTHRwcjh07xmXDtsaoUaNSUlK2bds2Y8YMXd/Dm+j68+KLL3bo0IHP/6hW4+rqukbv+00tHz2yYeseIGAa/Pz8kpOT/f39n3nmmSdfdXR0VLcXj5ubW4vbWkilUienlh9dJpPJ7Oxa3kjc1dWV24wlPj7+wIEDDx480PUPsDqmTJmycOHCgwcPlpWVcRND2uFPc73p1q0bgDNnzggdiIqTJ08C6Nq1a1uYuFJHa8eGZvcgzPPnz9+8edPLy2vQoEFCx6IiNDTUx8cnLy8vLS1N6FgEo7VrSs1OrD179gCIiIgwn90ARSLRyy+/DAOX6lo4U6ZMEYvFXDbUpbyZivXSSy8JHcif4L6vCQkJZGaDaJPh4eExbNiw2trapIbdmzViXmJdu3YtKyvLzc2Nu0vEfGDZEK3MhuYl1k8//QRg4sSJJtuDVUdYNkQrs6F5icVfHqytrS1VQ15e3o0mNN0NtiksG3p4eAwfPry2tnb//v3aS/M4Qm0lBQUFNjY2Dg4O6u51KS4u7t69e/fu3d3d3du1hK5TLBpRt95QqVT6+PjAnOZBTM/69esBTJo0SWtJM5og3bNnj1KpHDduHLeM7kmI6MaNG/pVbmdnp27PVicnp6a77KsbjXLZMC4ubteuXYMHD9YvDEsnMjIyOjr60KFD2mdK+bdcV8aMGQMgPj5eXYH6+vrr169fv369qKiopCX0WEHbKthMKRGNGjUKwNatWzUXMxexSktLbW1tJRJJUVGR0LGohWVD0jkbmkvnPSkpSS6Xjxw58sn9nMwHNjYEEBkZKRaLuWyooZi5iGWe86JPwsaGOo4NzUKs6urqQ4cOiUSiSZMmCR2LFthMKXSbKTULsQ4fPlxZWTlw4MCuXbsKHYsWRCJRZGQkWDbUlg3NQixLyYMcbSEbNtsetxm6ZEPhxVIoFAcOHAAQEREhdCw6MWTIEB8fXxeXMenpJULHwgs7duzo2bMnd0OeOrSetoUXKyUlpbi4uE+fPv7+/kLHohMikWj69NysrE0//GBe66eNwq+//jp79uzq6uqCggINxS5cuCCTyWbNmqW2hCmmPjQyf/58AO+++67QgbSCU6cIoK5dycomSi9fvszNpy9dulRDsQ8//BCAvb19amqqujICi6VUKrkO+7lz54SNpFUoleTjQwBZ00RpXl5ely5dALzyyisKhUJdse3bt4tEIhsbm927d2uoTWCxuEG7t7e3xV0kWbSIAHr7baHjMBIPHz7kuiKjRo2qUf9ssWPHjnErmj7//HPNFQos1vLlywEsWLBA2DD0wJqyYXV19bBhwwA8/fTTpaWl6oo1JMply5ZprVNgsbhvyS+/WN7zBJRK8vUlgCx9Nz+FQsEN8by9ve/cuaOu2M2bNzt37qw1UTYgpFg5OTkAOnToYKE7t3DZcPFioeMwjIULFwJwcXG5dOmSujLFxcW6JMqmCCnWRx99BGDWrFkCxmAIVpANP/nkEwC2trYa9kWvqqriEmXfvn01JMpmCCnWwIEDAezbt0/AGAzB0rPh999/b2NjIxKJNCyu0jFRPolgYt29e1ckEslkskrDHz8qHJabDX/99Vdub4G1a9dqKMYlSldXVw2JskUEE4t7dllkZKRQARgFC82GmZmZbm5uAN58800NxXRJlOoQTCzu6QF6P1HDTLDEbHj37l1uUnrq1Kkaxne6JEoNCCPWw4cPJRKJVCotKSkRJAAjYlnZsKysrF+/fgBGjBhRXV2trpiOiVIDwoi1ZcsWAGPHjhWkdeNiQdmwtrb2hRdeABAQEKDhK92QKBcb8HURRixuP88NGzYI0rpxsZRsqFQqo6KiAHh5ed26dUtdsYZE+Ze//EWXiVB1CCBWZWWlTCazsbGxmoesWkQ2XLx4MTcRqmHDcx0TpS4IINaPP/4IIDQ01PRN84T5Z8OvvvoKgFQqPXz4sLoyOiZKHRFArJkzZwKwpi09zTwbJiQkcOM7DTcDK5VK7nPRnCh1x9RiyeXydu3aAcjJyTFx07yyeTNt3Upm+OSD48eP29vbA/jkk080FOMelaU5UbYKU4t1+PBh7qqTidvllY8/po8/ptu3mx//+Wf6+GMqLBQiJiIiysrKat++PYC5c+dqKMbd3Kw5UbYWU4v1xhtvAFixYoWJ2+UVgAAaP7758TlzCKDLl4WIiSg/P9/X1xfAxIkT69U/A12XRKkHJhVLqVRyi1/Pnz/fYgELfVg3QCIRAfTjj386LqBY5eXlgYGBAAYNGqThamxKSgqXKI3e5TWpWKdPnwbg6+vb4kLkq1evtm/fPi4uzuKWKQMUGkpdu5KnJzXd8EYoseRy+dixYwH07NmzUH0mzsrK4vq78+bNM3oMJhVr6dKlAN56660WX121ahV349DkyZPNec+ZJwHo+edpyxYCqOkfJ5RYmzZtAtC5c+cbN26oK6NjotQbk4r11FNPAUhJSVFXYPfu3Vxn08PDIzk52ZSxGQInllJJgweTWEwZGarjAqbC1atXZzTE8QRlZWVcohw8eDBPy5ZMJ1ZmZiYAd3d3zQuR79y5wz0EQSQSRUdH67gQVlg4sYgoLY1sbGjQIOKuhQjbeVeHXC7n9rjTnCgNxHRiHT582MPDo1evXlqfIqlUKuPi4rjbjPr27XvZ3D6ZJ2gQi4jmziWAuGeQN4h14QIdP07m8PRMpVL56quvAvD09Lx58yZ/DZlOrLq6Oj8/P+6LcvbsWa3l09LSevXqBcDBwcHMe/RNxSopoY4dqV07KipqFCsqSjUl0b07RUVRXBylppIgK2e5bq6zs7OGRGkUTNrHys7ODgoKAiCRSGJiYrT2GSsrK6Ojo7kefUREhNn26JuKRUSbNxNA8+c3ivXhhxQURFKpSi/uRyqlAQNozhz6+mvKyCC5nPc4N27cyE2EHjx4kO+2BLikExMTwz2uLTQ09Pr161rfsnPnTm55kJeX19Gjajv+gsCdRpuJpVTS0KEkldKIEX/qY8nllJlJ8fEUHU1Dh5KtbXPPAgIaz2e1tUYONTExUSwWi0SizZs3G7nqlhBmPdbRo0e5p6e6urrqsjqZ69Hb2EgGDCiNjiYz6dDHx9PIkVRT01wsIrpypfH8pK6LWFFBqam0bh3NmEFPPaWaYm34cXSkYcNo0SLatetWTk6OgT2Bs2fPcruRr1q1ypB6dEewNe9FRUXccj8AUVFRWnv09fX1X3xxUSIhgIKCSNhHMz9+3Nht2rq1BbGI6K23tIjVjPJySk2luDiKiqKAgEbPRo5cwvWKhg4dGh0dHR8fn5mZ2SrP/vvf/3bs2BHAnDlzdH+XgQh8i318fDz3uAA/P78TJ05oLZ+WRr16EUAODhQXZ4IAWyAzk55++k8xtChWeTl5e+s/3VBcTAcP0ocf0uuvv//ks7Hd3d3DwsLef//9vXv33r17V0M9hYWFPXv2BDBhwgRT3nEu/P5Y2dnZAwYM0L1HX15Or7+u+jZHRFBxsWnCVBEfTzIZARQQQFeumK7dkpKSI0eOxMTEhIeHe3h4NPPM09MzPDw8JiYmMTHx/v37De8qLy/nRksDBw408XVY4cUivXr0u3dT+/YEkIcH/fyzCWKksjKaNk0ldFSUMJMFDdy+fXv37t3vvPPO6NGjuZFNU3x9fSMjI1etWhUaGgqgR48eTW0zDWYhFkfTHv327du1lr99WzXsEokoOtr4w6impKVR9+4EkIsLff89jw3pR35+fmJiInc+466JNRjWqVOna9eumT4kMxKLWt+jVygoLk41/goO5qVHr1RSXJxqaiAkhIT4jFqHQqHIysqKj49fsGDBoUOHfhdomGNeYnFs2LDBwcEBgL//0+fOaZ9aOH1adTpxdKT//MeYkRQW0vjxJjopWhnmKBb90aMfNepXiYRiYkjrso6GHr2aJTn68Msv5OVFALm7U1KS0aptI5ipWERUU1OzZImCm84ZNYp02UJn714y7GY4FfX1FBNDYrGqaY3DeUbLmK9YHEePqmaDXF1Jhw69EcjLo+HDCSCxWKeTJaNFzF0sIioqokmTGsf5vC4+SUykDh1UsxjGu2OlLWIBYnHEx5OjIwHUrRudPGn8+uvqKCaGbGwIoNGjqaDA+E20KSxGLCLKzqYBAwggHXv0unPrFg0Z0lizAXthMFRYklhEJJc3nleee47y8oxQ548/kpsbAeTrS6dOGaFCBlmcWBxHjqgmAlxdaccO/euprqboaFXv7aWXyPI3gTMjLFIsIiosNLRHn51N/foRQPb2gi2UsGIsVSyOpj16LotVVVFCAiUkUFVV88KpqZSQoJo9b3ijvz9dvGjqsNsCli0WEV29SoGBjf3uO3dUp7H3329ecsIEAujmTZo+XVVm9myyzHv6LQDhH4RpIH364PRpLFwIhQJffYXSUtXxNWtw9WoL5ZVKnDkDZ2ds3YrNm+HoaMpg2xAispYHGx88CAD9+sHbG8OG4dw5DBqElBSIRKoC4eE4cADFxbh1Cy4u6NVLwGCtH4s/YzUQFoawMNW//fwwfz5SUxEf30LJ4GBmFe9Yj1jNiImBpyeWLEFRkdChtEmsVixnZ6xejYcP8c47QofSJrFasQDMmoVnn8W33yI1VehQ2h7WLJZIhK+/hkSCBQugUAgdTRvDmsUC0Lcv/v53XLqETZuEDqWNYeViAVi5Et7eWLEC5eVCh9KWsH6xnJ3xr3+hsBAnTggdSlvC+sUCMH06XngB1jITbBm0CbEAbNgAOzuhg2hLWM8lHQ6FArdvw8kJnTo1fyk/H7W18PWFWCxEZG0MaxOLYSa0lVTIMDFMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLzAxGLwAhOLwQtMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLzAxGLwAhOLwQtMLAYvMLEYvMDEYvACE4vBC0wsBi8wsRi8wMRi8AITi8ELTCwGLzCxGLzAxGLwwv8DA8GXk8LzaZUAAADuelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAC4g5gbiBkZlBgUgzcjmoAGkmFnYHDJANDMjO0SAGUbDJTAZCCUQM7gZGBkYmRKYmDOYmFkSWFgTWNkymNjYE9g5Mpg4OBM4GTOYOFkSRJhYGYHynGysbOwcnCziTSBnwN3HGa9+QOrXBXuwwzfe2R8odssOxDbz4z6wtKNhP4idc7lkf5f+BzDbXrvBjtO1Bsw2Ubtjbz1rCZitdEjXIbZIfR+IXZHM7xBluhBsplS4q73g2uNgttyU1H1tLA/A5osBAIoXML71nDIfAAABRnpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2SUW7DIAyG33MKX6DINjbEj01STdPUVNq63WGv0+6v2ZlSWg0NcATkM9i/GSDa6/Ly+Q23xsswAOA/w8zgIyPicIaYwHR6el5hvh6nfWe+vK/XNyAEIvfx/sger5fzvkMwfcGBUyGlWoBSyewDMOHWmi/DDAdKlYU0+39hNe2BOUBOflwRCxdEoYodUmCFAybTkpWCHGsRn/0l1UlMrJh9ES6jCo8dsPjlHiSZUYkTefQoawesDrKDYlXiRPIYuJfOuIEsKBL6eNYivRBtC7FWHIvLmlTNinU4L8scF7ILaZGC5KpZO+RpXR5q9Vu96bIurXrRuZVI3HIrhIQ1taNrk9QXUJpw4labPOI2NhHEzVqu4kb3OUl8bpH4w9s29D6X+8hjvb9Znw8/1u2Smt2LiQ4AAACjelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicHY47DkMxCASvkjKRHASY5SN3uYr7V6R+hw9OQzHsLHy+W7Zee++rpzzu51vJBZJDyKf6HOstFGqCwWSKgjZi0kaVh83AxFhMEZzeHlAVYympsaFBW2YHhFhv2haf0C7qaqnS0Tc0UX5qFDznCVXCNP/XCi3IiWV4d65+U8IdBzGbxHjdPwySKvllG2v7AAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>0.999997</td>\n",
+       "      <td>[AP_0, FP_1]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.997353</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2450,7 +2180,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2470,9 +2200,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "id": "c54031f2-e054-4bfc-9835-5d04e70425cc",
-   "metadata": {},
+   "metadata": {
+    "metadata": {}
+   },
    "outputs": [
     {
      "data": {
@@ -2507,53 +2239,53 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>[AP_2, SE_50]</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAYu0lEQVR4nO2de1xUZfrAn7kw3GFAQLwrFpCmYoaiQFAImpCmhrfEzUpYN6PLp5xfuUlrtaG2u1SUodWGmLrqUkKSipoGmiWkaUKKXBQVBOQOw2WY5/fHi9PsAMNt3jmDPd+Pf3jOvOc87zhfz3vOe3mOCBGBIAyNWOgKEHcnJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXpEJXgDA2TU1N//73v11dXW/cuLF69WqJRMIlDBJ/GOrq6uLi4oYNGwYAgwYNAgAfH5/Lly/ziEVi/SEoKyv761//KpfL2dVkypQp69evHz58OABYWlrGxcWp1WrDRiSx7nJKSkoUCoWVlRVTytfXNyUlhWlUXV0dGRnJ9s+aNev69esGjEti3bXk5+dHR0dbWFgwdWbOnHny5MmOxfbs2cOaRblcvmPHDkNFJ7HuQn7+GVesaLa0lAOARCJZtmzZ+fPn9ZQvLS197LHHmH/h4eG3b9/ufx1IrLuKjAwMC0ORCAHw4Yd3RUVFXblyRadMY2PjpUuXOh6bmJhoY2MDAK6urgcOHOhnTUisu4SMDAwKQgAEQBsbjI7GjrdMtbW1cXFxQ4cOnThxYqd36wUFBf7+/gAgEokiIyPr6+v7XB8Sa2BQV4eNjb9vVlVhWxsiYlsbpqTggw+2KzVoEMbEYMem7NatW6+99pq9vT1r76ZOnXrr1q1OA6lUqtjYWJlMBgBubm6ZmZl9qzCJNTAIDUV3d2xqat90ccGiIkxMRA+PdqUGD8aYGKyu1j3w6tWr0dHROk+F3YY7f/68l5cXAEilUoVC0dzc3NsKk1gDg9BQ9PDAt99u33RxwTfeaFfq3ntx2zbs+NPn5uJTT6GPz99Y0zZv3rwff/yx5xGVSqVCoWD98t7e3rm5ub2qMIk1MAgNxR07cPhwZPfiLi6Ym4v+/rh7N6pUuoWzsnDhQhSLEQAnTapZvnz5r7/+2re4J0+evOeeewDAwsIiNja2jTXAPYDEGhiEhmJaGn74Ic6ejYjo4oI3bnRSTPupUCbDiAjs/4BNTU2Nph81KCjo2rVrPTlqoIqVn5+fmZm5Y8eOiooKoetiDJhYbW04dSp+9VUnYtXW4vTp7Y2jnR2uXYslJYasQFpa2pAhQwDA3t4+ISGh2/IDUqzjx4/b2dl5enqyDsApU6bExMRkZWUJXS+OMLEQ8fRpdHdHB4dOrliBgejk1PlToUEoKyt7/PHH2aVr4cKF5eXlegoPPLFSU1PZMMWMGTOCg4PNzc01MzXc3Nyio6MPHz7ch6cYE0cjFiKuWoUAnYhVWIj96HjqKZ9//rmdnR0ADBky5Oeff+6q2AATa/fu3WZmZgDw5z//md1INjQ0pKSkREZGDh06VGOYlZVVWFhYQkLCjU7vRAYgH36IFy60/72iAqOisKpKsMoUFRX5+/vL5fL4+PiuygwksbZv3y6VSgFAoVB0/LStrS0rKys2NtbX11ckEjHDxGKxpqE0+MwQI5Obi76++NJLQtcDERHPnTsHAOPHj++qwIARKz4+XiwWd2WVDrdu3UpMTAwPD2eDX4zBgwdHRETs2bOnrq7OCBU2OIcOIQAGBwtdD0REPHbsGAAEBgZ2VWBgiBUbG8t6+f71r3/16sDGxsb09PTo6Gg2qY1haWk5c+bMuLg4w85A4s2OHQiAS5cKXQ9ERPzPf/7DpkJ0VcDUxVKr1a+88gp7+vvss880+1taWrZu3dqr1u3XX3/VaSgBYNy4cQqFIiMjw/Qbyrg4BMDoaGGi+/j4eHp6FhUVsc34+HgAWL16dVfl9Yl1+LMNqfGvfvOR4lTylqb6GgPXtAeo1ernn38eAGQy2d69ezX7lUolmz/Uk2axIzdu3Ni6devcuXM1I2gA8M477yiVSsPV3fCsW4cAuGGDMNEdHR0BQNNr+OabbwLA+vXruyqvT6zNyyeeP5585efjX8e9mLTe2JdglUr1pz/9iT3iffvtt5r99fX1wcHBAODg4HD69On+hFAqlayhdHBwsLW13bx5c79rzZGoKATALVsECN3a2ioWiyUSiWZI57nnngOADz74oKtDuhGruuw6IlZcz393sQci/vTN5zcunzu4LeZm3i8GrbkuTU1NCxYsAAAbG5ujR49q9ldVVc2YMYNNRtM/K7JXJCUlAcDcuXMNdUIeLFiAALhvnwChS0tLAcDFxUWzZ/HixQCwa9eurg7pZl1h3pkjZhZWF058Ne2xZwDgl+/+m5d1zCtokbXcGdVtIjGXJWkNDQ3z589PT093cHBIS0vz8fFh+8vKymbNmnXu3LlRo0YdOXKEDY4aBD8/PwDIzMxUq9Xs2dMEKS8HAHByEiR0OQA4acXuuEeHbsS6dfU3cysbVKurbxUjqgHAL/z5keOmAsC2l+dIpGYeU0M8poU4jbjXIF8AAKqrq0NDQ0+dOuXq6nro0KGJEyey/SUlJcHBwRcvXvT09ExPT9d+yus/o0ePHjFiRHFxcW5u7vjx4w14ZgNSUQEA4OwsSOgKAHDWit1xjw7diOX3xBp752GI+GGUb3HOGc1+ZV11aeFFtaq1OPfMkcR3nIbf4z41xN07aMR93mJJ31dXa1+T0tPT77233dfCwsKZM2cWFBRMnjz50KFDer5Pn/Hz89u1a1dmZqbJisWuWIKIxa5P2v/sHffo0KPLfmNNhbKuylr++1ksbeX/tyt36RuJU2Yvt5Y7V1y/cir54y9eW7h5+YS9G6OyD+5oqC7vbe1LSkqCgoLOnTvn4eGRkZGhsSonJ8fPz6+goMDb2/vIkSOGsmrt2rUTJ04sKytjm2yud0ZGhkFObnDa2qCqCsRicHQUILpOw4eIt2/fhjvLqTulm6vLzg0rRABNDbUBS14aNMxN+yMzCyv3qcHuU4NDV797LefM5TNHLp9JryjOy8lMzclMTfvk9ZHjpiqHBz4cFOzh4dFt1QsLC4ODg/Pz88ePH5+ens5maABAdnb27NmzKyoqAgMDU1JSbG1tuz1VDzl79uyFCxcyMzPZUwIT68SJE4Y6v2Gprq7189tgZTVaIllj/Og6DV9NTU1LS4udnZ32DABd9DwLNNXXKOuqm5W/j5g3N9a1qVr1HFJVejXr26Sdf1vx1vxR68MnsK7IMWPGREZGpqSkdDXpICcnhyUU8Pb21p5fdeLECTaQHhYWZvBOJtYT89KdsTe1Ws3+/129etWwgQxCTk4OAHh6egoSfc2aNQDw/vvvs828vDwAGDt2rJ5DePW8NzXU/vBd2ooVK7RbLnt7+0WLFm3fvl17Kk9WVha7xgYGBtbW1mr2p6WlWVpaAsDSpUtbWloMXsOjR48CwIMPPqjZwzpdDbga2ICwS6m/v78g0ZcsWQIAO3fuZJunTp0CAB8fHz2HcB/SYZMOYmJipkyZ0nHSwbZt2zTXpEat9U1ff/01u8xGRUX1fJ51r2hoaJDJZFKpVGPzpk2bWEQe4frJvn37AGD+/PmCRA8KCgKA9PR0trl//372k+k5xKhjhUVFRQkJCWFhYZqEAtbW1gCwbNky7WtSUlISmx6zdu1arkN406ZNA4DDhw+zzR9++AEAxo0bxy9in/nkk08AIDIyUpDorNPn7NmzbPOzzz4DgJUrV+o5xKidgaNGjYqMjExNTa2oqEhOTl68eHFTU5O9vX1SUhKbvgcAFRUVa9asUalUb7/99saNG7UHjA2OzpPglClTrKyscnNz2UOQSdHt4z1XdG7ee1IZYXqZra2t58+fv2vXrkGDBtXU1BQWFmo+cnJySk1NjY+PX7duHe9q6IhlZmY2bdo0vHMPYVKwn1ZPT7cxo/ekMkIOX4hEIjaWotN75O/vz8Y4eePn5ycWi3/88ceWlhbNHgDIzMw0QvRe0e0QCj86di6Y7hVLg7Ddko6Ojvfdd59SqczOzjaF+uhBwKawDwOF8AcXq2MFpk+fLpVKs7Oz6+vrhapSp3Q7NmfM0D2pjMBieXl52dra5uXllZSUCFIBnbbPxsbGy8tLpVL99NNPgtSnKwRsCmtrayUSSccrlkmLJZFI2KwYoe6XAwIC4M6EGbZH8ItoR5KSkpRKpa2tbUJCQltbm5Gjh4SEqFQqNsmd0SPLjdENopcNGzYAwAsvvCBUBUaOHAkAF+4s20tOTgaAoKAgoeqjTWNj4zPPPMN+KdbzMmPGjLy8PAGr1NTUBAAymUx/F6PwYn333XcA8MADDwhVgSeffBIAPv74Y7ZZXl4uEomsrKwEX05dVFTk7e0NABYWFtu2bUtPTx8xYgRwS6DdQ4qLiwFg2LBh+osJL1ZjY6NMJpNIJNUds4YZBdapvVRrXRXLCtGrbFIGZ//+/Q4ODgDg7u7+yy/tE8G1E2iHhIQIsnyNXQi8vLz0FxNeLEScPn06ABw8eFCQ6BcvXtT5L7hq1SoAeO+99wSpT2trq0KhYA3f448/XtVhLf3evXvZ/Y1cLk9KSjJaxUpLS2NiYuzs7MaOHfvJJ5/oL2wSYq1duxYA1q1bJ0h0tVrNHnAKCwvZnu3btwPAvHnzjF+Z69ev+/r6AoBUKo2Nje2qGI8E2nq4fPnys88+yxKTikSi0NBQ7RkDnWISYqWmpgLAQw89JFQFVq5cOXfu3IsXL7LNgoIC9tRj5PuYY8eOubq6AsDw4cNPnTql/dHNmzd1CqvV6i1btrBR/IceeuHOzAMDc/78+YiICDYnQCwWh4WFnTlzpicHmoRYlZWVYrHY3NzcdJaMsttkjWq8UavVsbGxLOHnI488UlpaqvmItYy2trY5OTkdD8zLywsICLn3XqVIhJGRhkxjlJmZGRYWxlpkmUwWERHx22+/9fxwkxALESdMmAAAfU7+bHDmz58PAE8//bQRMgaWl5fPnj2btTIKhUJ7/tm1a9fYDai5ufnu3bs7PbytDePiUCZDAHRzw37+E6rVePBgS0BAIGtnbWxsXn755T48JZiKWKtXrwaAd999V+iKICLevHlz9OjRLOEW74yBZ86cGT16NAA4OzsfOnRI+6Njx44NHjwYAEaMGPHDDz/oP8+FC+jlhQAolaJC0UkS5W5hKeO9vREAfXyesLOzUygUff5/ZSpi7dy5EwBCQ0OFrgheuXKF/dJjxox5+OGHuWYMTEhIYHfE/v7+2jniWMvIls7OmTOnh/fmSiUqFCiRIAB6e2PP82c3N+Onn6K7e3sK06FD8aOPbvQz2ZOpiHX9+nUAsLe3V3XMLm1EOi7r4JQxsLa2dtGiRaz5i46O1p5AW15ePmvWLHaxjImJ6e3M7JMn8Z57EAAtLDA2FvUfXV+PcXE4YkS7UmPGYFwcdvfA1yNMRSxEZNcJTWeg8cnOzmb9QwEBAdrLOhgGzBiYk5Mzbtw4ALCzs9POooOIP/3006hRo1jLqJkz3VtqanDlynZXgoLwrbdw1SrU1G7VKrx8GWtqMC4OXV3bi91/PyYmYqu+FVi9w4TEioiIAAA9aS258v3337NXzfSkk6Y/GQMTExNZ+qTJkyfrvJqrq5axb6Sl4ZAhOH06rlyJNjao6UmdMAHj4tDWtl2pGTMwJQUN3q9iQmJt3boVABYvXmz80EePHmWKLFmypFdLzfRnDCwuLtYurFQqNQMyERERDQ0Nmo9qamrCw8M7bRn7w61bWFSETz+Nr7+Ow4djZSUi4oQJePgwWligry/24LU6fcSExMrNzQWAIUOG6Ow/cuTIW2+9pSfzcz/Zv38/WzW0atWq/iw102QM1M5Xo8kYeOnSpUmTJmlGlLUPPHv2LMucY2dnt49DmqKnn8bPP8e1a5Gt8ZkwAbOz8X+dNzwmJJZarXZxcQGA/Px87f3Lly9nP5KLi4vBs9N++eWXrFt5zZo1hupnv3nz5tatW+fNm6edMZC1s56enjqvtdHTMhoKJlZdHY4ciadPt4vFGxMSC+90S37xxRfaO9PT06OiorTbGisrq8ceeywhIaGfw/tbtmzpeSbmPqDJGOjq6uro6Dhs2DDtZwKlUslGu1nL2O2NXZ9hYiHivn3o44P33//HE+sf//gHADz77LOdfqq/reltK6bJxGyEWQzl5eVmZmZmZmbauQXYCKm1tTXvRf0asRBx9myUSP54YrGZ5k5OTnv37q2p6TKdbnl5OXsoY8vzGc7Ozqyh1HOghpiYGNZRpHO7w485c+YAwJb/TSG6adMmIwxHrlmDX37Z/ve8PHRxQSN06ZiWWK2trR988AEbi5VIJL6+vrGxsZ0OvjKampoOHjz43HPPsb4fhoWFxezZsxMTEzs9RK1Wv/jiiwAglUq7KsODHTt2gEAzOMrLcdEi7DpdKBdMSyxErKys3Lx5c0BAALunZtx3332vvvrqiRMn9PTL5+fnx8XFzZw5kx24YsWKjmVUKtXKlSsBwNzcPDk5mef30KW+vt7GxkYkEmlmfRmNxEQEwEcfNWpQkxNLQ2Vl5Z49eyIjI9lALMPR0TE8PDwxMbGS9cl0RllZWWJi4smTJ3X2Nzc3P/HEE+y2ps+d2v1h6dKlALBx40Yjxw0PRwD86COjBjVdsTSoVCpNIiSNYb2ddNDQ0MCmpsjlcp05dEYjJSUFACZNmmTMoC0tKJcjABr5QjkAxNKmoKCAJULSnnTQbcbAurq6Rx55hPWEnTt3zsh11tDS0sKSBmqWmhmB9HQEwIkTjRawnQEmlgbNpANNtlLWxrFJB9oTeSsrK1kerJEjR166dEnAOiNiVFQUGHd2/wsvIAAafznBQBVLg/6MgYcOHWJzU8eMGaPToS8Ix48fB4BRo0YZbTY9m0Jj/MZ/wIulTWFhYXx8/KxZszQNJVNtwoQJJYZ99XZfUavVrGfEOPd5OTkIgM7OaPxJbneVWBrq6+uTk5OfeeaZuXPnbt68mffqqF7x6quvAsDzzz9vhFibNiEAPvWUEULpIkJEIIzI2bNnH3jgAWdn55s3b2r31fEgIAC+/x727YOFC7nG6QQTfSHRXczkyZPHjx9fXl7O8oHzo7ISTp0CMzOYOZNrnM4hsQRA8042rlG+/RZUKggMBHt7rnE6h8QSgGXLlolEouTkZKVSyS/KgQMAAGFh/CLog8QSgLFjx06dOrWuru6bb77hFKKtDQ4fBgCYM4dThG4gsYRh2bJlwLM1zMiA27dh3Dgw3NtCeweJJQxLliyRSqUHDhyorKzsSXmlEqqqoKoKiouhoAAKCuDsWcjOhpqazsuzS+GdhDRCIEAXB4GIiCEhIQDw6aefavaUlJS4u7u7ubm5ubk5ODiwV6Czn8nFpY2t1tL589VXnZ/cwwMB8PvvjfRdOsK3H4XQw9KlSw8fPrxz505NllG1Wn358uVOC9vYqFtbxQBgbQ0yGQCAnR1IJKC1rvF31Gp45RX47juYPp1T3buHOkgFo7a21tXVtbm5+dq1a2xdv0qlys/PZ68VksvlIpFIKpX2/N2fBw/Cm2/Cf/8Lw4YBAPzzn+DkBCtWcPsCeqF7LMGws7MLDQ1Vq9WaTNdSqdTDw4M1hY6OjtpNYU+orIRLl+DFF9s3r1+H0lKD17qnkFhCwuaUGvDZ8NFHIT8f0tIMdb6+Q/dYQhIaGiqXy7Oyst5//30rKytEbGtrq62tBYCmpibWfVpfX9/a2iqXv1tU5IgIbW1QWwsA0NwMjY0AAI2N0NwMlpbw+usgFsOHH8KKFRAYKODXAiCxhMXc3PzJJ588duzYi5oGrAsmTtx0/ry+Anfe9wi+vvDQQ/D3vxuoin2FxBKY+Pj45OTk3bt329vbi8VisVjMFuObm5uzpffW1tYymczCos3cHMRiEIvbx/5kMrC2BgCwtAT2wtrTp9vPuWkTeHmBjw+4ugrynQBILFNgwYIFCxYs6P95NGI5O8Mbb8Bf/gLTpvX/rH2Ebt7vHmxswMWl/e+RkRASAnK5YJWhfiyCC3TFIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK48P+JKZh44A/ICAAAAU56VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAASAWAuIGRmUGBSDNyOagAaSYWdgcMkA0MyMSAyaDpoIdIsAMo7FpRVOK2xZuBkYGRqYMJibmBGaWDCYWVgVWtgQ29gwmdo4EDs4ETq4MJi7uBG6eDCYe3gQWvgQ+/gwmfsYEXtYMJl6OBBFmNkZ+PhZmJlY2Vl4OdjZOLm4eXg7xUyCfwb2s0b32gPqTBHsQx0Ci/kChyTM7EJs5xPLA4oK9YPFjq3ftX9PdBmY/NO/b7/X5wj4Qu0pwud0U57D9ILYFQ7B9hrzAARD79g4Rh1lneMHscG0Dh1eW7mA1AsXNDjyJXGC9Mf7tDotF1oHNbJtj7+A1idcBxK48fNH+4OUTYHGvoEP2+/Wn24LYsg94DkQq7ACbY3sv40CSdSOYLQYAOC1QADv3LNMAAAGzelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZRdjhshDMff5xS+QJA/wTxuklW1Wu1EatPeoa9V76/aM02Z3UWF2CLwA4z91yyQ7ev19edv+Nf4uiwA+J9f7x1+CCIub5ADOD9/eVnhcn86P2Yut+/r/RtQBfLYE/09+3S/vT1mCM6/4GRFWVgaYPHm6hQD3NrYy3CBk5Tu5pbrqr1Sn4CSIBfv1kyAivq+/gnUBGPdXGoLEI1oi+EjaDtIROgIp7gbnbBOyBokFuEqaAnGyb3Ogmwb6KzMnNGyUafZ3Q4rcMnkuGwgWSWZgH0Dm3HV7erWnHl2IkWFQAtha70mSWIks9cQbSSzq2SCpMayzcAsDpfepbNDBsloOgMloqRSxSO8GFj1XnkGZnFinfxvaE3iOTPQ9nIzErW+1VNCQdOH111CcbtVTRQxbp896Hm9vpPpLtzzbb0O4WbnoU4Nk6FBTRtKy25DTxRWh2g0rA1paJgPAWhYH2XWMDpWU9MRHaqm6YgP5dF0JIc6aDrSQ8I1A7NDYjUd1UP+NN04N0ONjYPwfaIf83jMWv5/fCpivPwB8WPXJM/bFasAAADZelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicHY87jgQxCESvsuGM5Lao4mNQZ3sV5xNsPIdf3IkxT1QV/P5t7L1f1+bWT/8+/fK9N36+r8unUWlDZq60xLgvnZWe3sisAtWIM8uXD0zLbrt46upWHLCHAJAcV4skITFumcpQ8cNSo6KNMB2JkyZLk/CDQju6vTyyWsdZpaWDk2DLb5tkmvWExukg6wmCOvQRLGc8OWsluQ5S6pk6Jh442ySN5IMcxecqCtBTfY+m1XN7b+NxkEgFx/v7D6JwQqZiFErNAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>0.999982</td>\n",
+       "      <td>[AP_1, FP_170]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.786395</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>[AP_2, GA_50]</td>\n",
+       "      <td>[AP_3, SE_6]</td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>0.999981</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>1.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>[AP_12, FP_0]</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAASjUlEQVR4nO3de1RU5foH8O8MV4lIUNM0NagQokDzUuZtmZjmsZvHa+UFdSlIJiBqUsvIjvcbeAsLK1TMNBU0Na04iWbqUiQ1sINiKqJ4oVBRhoF5fn9sw5/E7Lm+s2eG57Pmj3Se3vdZrW979uzZ+31VRATGrE2tdAPMOXGwmBAcLCYEB4sJwcFiQnCwmBAcLCYEB4sJwcFiQnCwmBAcLCYEB4sJwcFiQnCwmBAcLCYEB4sJwcFiQnCwmBAcLCYEB4sJwcFiQnCwmBAcLCYEB4sJwcFiQnCwmBAcLCYEB4sJwcFiQnCwmBAcLCYEB4sJwcFiQnCwmBAcLCYEB4sJwcFiQnCwmBAcLCYEB4sJwcFiQnCwmBAcLCYEB4sJwcFiQnCwmBCuSjeggCNHcPYsfH0RHl77rTNnkJODNm0QGqpEZ06kPh6xVq3C4MHo0wcHDtR+a88eDB6MdeuUaMu51MdgSXQ6REZCq1W6DydVf4MVFIQTJ5CcrHQfTqr+BmvaNDz0EBITcf680q04o/obrEaNMGMGyssRGal0K86o/gYLwMSJCArCrl3IyFC6Fadji8sNRLR///6BAwfevHnTknG6dFn3888DLGzm7Nl7/+zmhmXL0Ls33n0X4eHw9rZwbHaPLYK1Zs2aUaNGubm5aS37DlZZSXfuWNoM0X1/DA/HkCH4+mt89BEWLLB0cFZDeLBu3bqVkJAAICUlZejQoZYMpVK51YqFGby8av9NUhK++w5Ll2LsWEsHZzWEB2vWrFnFxcXPP/98RESESqUSPZ0ZmjXDhx8iLg7x8ejXT+lunIXYYBUWFiYlJalUquTkZPtMlWTiRKSl4dtv4eGhdCvOQuy3wvj4+IqKihEjRnTq1EnoRBZydcWKFVCpsGWL0q04C4HBysrK2rp1q7e39+zZs8XNYi1dumDkyNqn9sxsooJVXV0dGxsLICEhoXnz5oJmsa6FC9G4sdJNOAtR51gpKSnHjx8PCAiQ4mVXhg9Hx4513BjTqBG2bkVeHsLClGjLyZAApaWljRs3BrBlyxYR4wtVXExRUXTtmtJ9ODghR6zExMRr16717NnzjTfekCkrKiqaO3eu8cM+/PCgK1d6GF8/ZgzatTO+/K4JE5CRAZUKK1aY/O+ye6we1by8PDc3NxcXl19//VW+8ujRoya12r37NwAZ//r6a/P6Jzc3cnEhQ+0zOdY/YsXFxWm12gkTJoQaur23ZcuWy5YtM35kb2//QYNM6OTZZ00orhEcjKgoLF2KmBhkZZkzAgOsfcTKzMwE4Ovre/XqVeuObEulpdS4MQHkgKeI9sKawdJoNIGBgQCSk5OtOKwili8ngAIC6M4dpVtxTNYM1vz58wEEBwdXVlZacVhFVFVRaCgBNHu20q04JhVZ6WLzlStXAgMDy8rKdu3a1bdvX6uMqaysLPTqBW9v/P47HOQSrx2x2pX3hISEsrKyV155xTlSBeDFF/H667h1C++/r3QrDsg6R6xjx4516NDB1dX1xIkT0mmWcygsREgINBocPAj7/hnd7ljniBUTE6PT6SZNmuRMqQIQEICYGBBh0iT+fdpElp+mffXVVwAefvjhv/76y/LR7M3Nm9S8OQG0dq3SrTgUS4N1+/bt1q1bA0hNTbVKQ3boiy8IoBYt6NYtpVtxHJZ+FM6bN+/cuXPt2rUbNWqU5YdP+zRyJDp1wsWLmDdP6VYch0Un70VFRUFBQeXl5Xv37u3evbsV27I3v/yCLl3g4YH8fDz2mNLdOAKLjlhTpkwpLy8fOnSoc6cKQOfOePNNVFRg6lSlW3EQ5h+xDhw40LVrV09Pz/z8fOk0y7ldvIg2bVBejp9+Qg8Tbt6pp8w8Yul0upiYGCKaOnVqfUgVgBYtMG0aAMTEoLpa6W7sn3nn/KmpqQAeffTRW/Xpm9Lt29S6NQUHH0lL2650L/bOnGDduHHjkUceAbB+/XqrN2TnMjIOq9VqZ71oZ0XmBGvKlCkAOnfurNPprN6Q/evRoweAuLg4pRuxayafvJ85cyYkJESr1R48eLBjx44CPpztXW5ubocOHdRq9YkTJ9q0aaN0O3bK5JP32NhYjUYTERFRP1MFoG3btqNHj9ZqtZMnT1a6Fztm0vHthx9+APDggw8WFxeLOYI6hpKSkoYNGwLYuXOn0r3YKROCpdVqn3nmGQDz5s0T15CjWLhwIYAnnnhCo9Eo3Ys9MiFYycnJAB5//PGKigpxDTmKyspK6QRr8eLFSvdij4wN1vXr1xs1agQgMzNTaEMO5NtvvwXg4+Nz6dIlpXuxO8YGa8KECQB69eoltBuH8/LLLwMYP3680o3YHaMuN+Tl5YWFhQHIycmRTrOY5NSpU6GhodXV1YcPH27fvr3S7dgRoy43xMbGVlVVRUVFcapqCQoKio6OrvnlVOl2asvOxqZN2L+/jrdOnMCmTTh9GgB27cL69Sgrq6Ps4kWsX499+0yf2+AxbcuWLQB8fX2v8Qosdfnzzz+bNGkCYNOmTUr3Ult4OAHk4UH5+bXfmjaNAFq+nIjomWcIoOPH6xghI4MAeu01k6c2cMSqrKycNm0agI8//lg6eWe1NGzYcObMmQDi4uJu376tdDt10GgQGWnrh0EMBGvRokUFBQVPPfXU+PHjbdOQIxo3blz79u0vXLiwePFipXupw9NPY+9efPWVTSeVC1ZJSYm0ftWSJUtcXevjlplGUqvV0uLQc+bMOW9/ez7NnAl3d8TF4a+/bDepXLDee++9GzduvP766y+99JLNGnJQXbt2HTBgwO3btz/44AOle6ntiScwcSJKSpCQYLtJ9QYrJydnzZo17u7u0lIfzKDFixd7eXmtW7duf51fwxQ1YwaaNsWqVTh4UG/N1asoLq79+vNPM2fUG6wdO3YQUXR09JNPPmnm2M7lzp07d2S38mnVqlV0dDQRdevWTWWZHj0Wq1Sw5NWgwX29+fhg/nzodBg3Tu+msr16oUWL2q+ICDP/c/GZk7Fmz569du3a1NTU8H/uUe4Ihg/H6tXIzsby5ahzJeu338Y/v/cXFmL7drPm03cd4ujRo2q12t3d/ffff5e5XJGbm9unT58zZ86YfKHDoZw/f97Ly0ulUu3bt09fTWFhoaenp3yNjUnXsWouUJ08SW5u5ONDly4pdx3r2WefHTlyZGVl5VTZR+mWLFmye/fu+Ph4s1LtMKRrVG+99VbXrl311Uj7uwwfPlymRlkhIZg0CTduIDFR/GQyobt8+bKPjw+A7777zmDN7t27TU61g9i/f79KpfLy8jp37py+mqysLABeXl7nz5+3ZW/yah2xiKi8nFq3JhcX+te/lLvy3rRp0+nTp+PvhZD11UiX5qXfE62ee8VJyzMR0fTp01u1alVnzf/f36Vly5a2bdA0Xl5YuBDV1dixw8wRrl+HTmdEnXzuNBqN9K1w2bJlBmtWrFhhcrDtXkpKCoCWLVuWl5frq1m5ciUAf3//O3a2FO4/j1iSfv3uLoVv/BFLp6M5c8jPjwDy9KR336WqKrmpDf8IvXXrVhhaYXvz5s0A/Pz8nOyH6rKysmbNmgHYuHGjvpqa/V2++eYbW/ZmDH3BKiggT0/TgpWWRk2aUFYWabWUlUWeniR/GDHqRr8+ffoAeOedd2RqevfuDUD61HAa0gdcly5dZJ6gnDRpEoCePXvasjEj7d1LGzdSnY/W7ttHGzdSQQER0c6dlJ5ed1lREaWnU3Y2VVVRYeG9v3/1VRowQG5qo4L122+/ubq6uri4HK8z1UREdPLkSVdXV2kZUmPGtH8FBQUeHh5qtfrIkSP6avLz86X9XXJzc23Zm+JefplGjJArMPbW5OjoaAAvvviiTE1UVBSc6Pblfv36ARg3bpxMjXRrcmRkpM26sgfFxeTpSRs2yNUYG6zS0lLpfqyMjAx9NTUPXGzbts2kRu3Qnj17YOhBie3btwNo2LDhlStXbNmbsjQa6tWLevQg+fUVTHj8a+nSpQACAgJkHv9KSkqC4z8iptVqQ0JCACxatEhfjUajkR7/WrJkiS17U9bNm/TKKxQWRqWlBipNCFZVVZV0z/vcuXP11Wi12qeffhrAggULjB/Z3qSmnvHzezIwMFDmYdQFCxYACAoKcoL9XYx06hSFhFDv3nT9uuFi0x6x//HHH2HoEfvvv//eYI09u3qVGjYkX1/d7t15+mpKSkoeeugh1KdH7HfsIB8f8venlStp1SpatYrWrJGrN3kZo1dffRXA6NGjZWr69+8PYOzYsaYObg/GjyeAwsPlasaOHQugf//+tmpKefPmUXj4fa9Bg+TqTQ7W6dOnpS/hhw4dMlhz+PBhU8dX1smT5OpKrq508qTemmPHjrm4uLi5uZ06dcqGrTkYcxZek+53kF94Tbrf4YUXXnCsxdl69yaAYmLkaqSF1yZPnmyrphySRUtFpqeny9RIP4ZskL/cYU82bSKA/PzktrDPyPhVrXblpSINMnNx29WrVwNo0aKFzOK2n376KRxnAdw7d8jfnwD65BO9NX8vbluelrbHhq05JDODVV1dLa3o9+GHH8rUdOjQAUBiYqKZ3dnQxx8TQCEhpNXqrfnoIwKobVsDP+wzsmSTpgMHDqhUqgYNGpw9e1Zfzc8//yzV/PHHH2ZPZANFReTtTQDt0X8kKiqiBx4ggH76yYadOSyLdv8aNmwYgCFDhsjUDBkyBMCwYcMsmUi04cMJoH//W67mzTcJoMGDbdWTg7MoWBcuXHjggQcA/KT//+KamuzsbEvmEueXX0ilIg+Pu/eQ1OnAAVKpqEED0n90ZvexdL/CxMREAG3btq3Sf94xY8YMAO3atauurrZwOqvT6ei55wig99/XW1NdTZ06EUAzZtiwMwdnhY0wH3vsMQCfffaZTI20387q1astnM7qvvySAGrWjMrK9NZ8/jlvhGkyK2zdu2HDBhjaujc9Pd1gjSJ27qSAAEpL01tw4wY98ggBtG6dDdtyfFYIFhFJ+xXGx8frK9DpdN26dQMwdepUq8xoRRUVcrcWSQ92du5s4PYjVot1gpWTk+Pi4uLu7i7z81lOTo4xj1bblTNnyMOD1GrS/7soq5t1gkXG/eAfEREB4DUzHn9UyGuvEUAREUr34YCsFqyaW5R27dqlr+by5ctSjcyj1fbjxx8JIG9vcsz7yhRmtWDR3zdVBgcHy9xUKS0RKF9jD6qq7j5tN2eO0q04JmsGS6PRBAYGAkhKSjJYs3TpUitObXXLlhFAAQFkZ882OwxrBouItm3bZvCx6YyMDINPkimrtJQaNyaAtm5VuhWHZeVgEVHfvn0BREVFydRkZmbKXKlX3MSJBJAdJ98BmLzDqkH5+flhYWE6ne7o0aPSRimOJT8fYWHQ6ZCTg9BQpbtxWCbvsGpQcHDwhAkTalb2cTgJCdBqMX48p8oyIg6DNQuwbN68WcT4QhUXU1SU3N3JzBjW/yiUrFy5Mjo62t/fPy8vz9PTU8QUZsvOxqlT8PXFoEG138rLw/79CAvDc88p0ZkzERTYqqqq0NBQALNmzRI0hdnGjr277Nj339d+a+VKAmjKFCXaci7WP8eSuLi4SOs4zJkzp7i4WNAsFoqKQkWF0k04KVHBAtCzZ88BAwbcunVLWsjU3rRti9OnMXeu0n04KYHBArBw4UJPT8+1a9ceOnRI6ERmiI9HkyaYOxf/+5/SrTgjscHy9/ePjY0lIjvcgNTHB//5DzQajBtn67386gPhW54kJCSkpaUdPHjw888/l57qMZtK5UbkZmE/Xl73/nnMGKSkYO9epKfj7bctHJjdzwZfEL788ksAbm6WZqJ794nStzlLXpcu3f1WKK06ePgwqdXUtOndlcT4W6G12GKTphEjRgQEBAwcOPDmzZuWjOPu7l5rUyszqFT3/bFjR0REYPVqJCTgk08sHZzVsEWwVCpVt27dSkpKbDCXGebPR2YmPvsMkZFKt+JExJ68OwQ/P8yejerqujdbY+bh/QoBYMwYfPEF/vvf2vtHMrPxEQsA1GqkpMDVFTt3Kt2Ks+Bg3RUayudY1sTBumfWLDRvrnQTzkLUbTP27MgRnD2LLl3qiFFuLgoK0KYN3+VnqfoYLGYD/FHIhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSE4WEwIDhYTgoPFhOBgMSH+D3JLf8X9od2WAAAAp3pUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAB2KG5gZGfIANLMjExsDhogBgs7hGZmcwBLMDNiMmBKuBkYFRiZMpiYmBOYWTKYWFgTWNkymNgYE0QY2RjZWFmYmcTjgAoZ4bZ6TlJx2J4brQriTFLptFf1FFoCYntOWmL30G3ZfhA77/a0/Qj2t/2N5vqqSOL2SOrBbDEA8gMmtDRxnlYAAADcelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZFRCsMgDIbfPUUuMInR1vq41jLGqIWt2x32vvuzWHFaGCYGon4k8VdAtLu/vT/wM/JCAGBjOefgpRFRLBATGOfLNcC0ncd8Mq3PsD3AsmP0I3ne1iWfKAhAsrPKkAOUuFuVZI5gAiUxcacGqLkgSk0JVJKcQz38AQ1X5HtlB+7eJLtEOtrJRu/+ULJR0dZDNrg5+INaSb9xDb7oF52KTIZDFzFMjPLk6F15F2+gL9MbDltmNBxUj1I3jvv85ZyLL77YbuoN1ylLAAAAZnpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nPNLNsxLTk7OM1So0TDSMzU3NDHWMdCxNtQzgDEN9IyNDE2MLHV0DfWMLC0NTHSsgSxDcwtTc1QhSyOQkAGSNFwWbgZMRLMGAFWVGYWeV/RqAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAUgElEQVR4nO3deVxU5f4H8M8M+wSooOASiwouWC5J1g18Wblm3TSXa2Zqi1umV37AJVDsYpqlKVJcM+tqoWWaLd4iKy1flVY3G4xUBDdAMRZZRpYZlmHO8/vjtFzlzDAM88w5A9/3yz9ynsPhg3w6c+Ysz1ExxkCIvanlDkA6JioW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKK5YRqa+VO0DoqlpNobsZrr2HUKLi5wdcXHh4YPRp79kCpj5tU0YMwnYDRiGnTkJmJW2/F9Ono1QuFhdi3D/n5eOwx7NwJlUruiC0wonwpKQxgCxcyk+nPFxsa2OTJDGDbt8uXzCzaYilefT369IGXFy5ehKfndUMVFQgJQWAgLl5U2kaL9rEU76efoNNh6tQbWwWge3dMnIiCApw/L0cyS6hYiieWJiJCelR8nYrlMCtWwM8Pc+bc+HpyMvz8FPiLMK+uDgBuukl61McHUOIBiA5bLIMBOh327MEnn1z3en09dDqYTDLFsoG3N/B7vVoSKyXWS0k6bLFEISH4+99hMMidoz3CwwEgL0969MwZABgwwHF5rNPBi7V2LQoLsXat3Dna4/bb0bUr/vMfNDXdOKTT4dAh9OuHsDA5klnSwYv1179i0iRs2oRffpE7is28vPD007hyBc88c93rJhOeegp6PRISlHasAYAr17WXl5fv3LnTtq/t0mVCdfUI27529uw//3vzZgwfjmXL8O23Cvz3t87q1fj+e6SlISsLs2eje3cUFyMjAz//jIcfxqJFcueTwu/Y64cffnjffffZHGzMmIMAs+3PkSNswQIGMJ2OMcYSEhjAduxgjLHYWAaw3Fx+PzcfDQ1s/XrWt++fP+TgwWzbtuuOxSsJry1WQ0NDfHx8fn7++PHjR4ywZcPj7+93xx02fveQkOv++s9/4r338I9/YOpUG1coPw8PJCUhKQmVlaiuhp8funaVO5MlvIqVmpqan58fERFx8OBBV1e+b7it0miwaRNmzMDatVA73V5lRQWGDkWPHr/tJ/r7w9//z9HevQGguFiebOZx+ZWXlZVt2LABwJYtW2RvlWj6dEyejK1bMWmS3FHaymRCSYnZI28lJY5NYy0u//8mJCTU1NRMmzZtwoQJPNZvm5dfhosLMjPlztE52L9YWVlZb7/9tru7+4svvmj3lbdHWBgSEhR7YVxHY+diMcZWrFghCEJ8fHy4eMhYSVauVOAx6o7Jztdj7d69e968eYGBgefOnfP19bXjmu1IEJCbiyFD5M5hpbIy9OyJgACUlUmMiofmlLcdtueetcFgSE5OBrBhwwZzrSopKfniiy+sWZtGM8pgMHOtyPXuvhuhodaGrK7G2LG4cAHnziEgwNqvIm1mx2Niq1atAjBy5EiT+aN2hw8ftjKY9QdI9+5tW8777//tQl/nUFrKABYQID0q/hMoj922WJcvX96yZYtKpUpLS1ObP1jUu3fv+fPnW7PC3r19rNwO9e1rXcTfpaXhyy+xYwcWLUJkZNu+lljLXg2dPn06gLlz59prhVyJJ3aiopggyB2lVc65xbJPpqNHj6pUKo1Gc+nSJbuskLfqatazJwPYvn1yR2mVcxbLDocbBEGIiYlhjCUlJQUHB7d/hQ7g64s1awAgPt7JLwNUrPZ3c9u2bQCCgoL0en371+YwJhOLjGQAW7NG7iiWOecWq72ZdDpdjx49AOzfv98ugRzp2DGmUjEvL1ZYKHcUC5yzWO19K1yzZk15eXl0dLS48+5coqIwcybq67FypdxROpx2HXnPy8sbOnSoyWQ6fvz4yJEj7RjLYYqKMGgQ6uvxzTcYPVruNFJMDVevHLhX7dk1aOqxlqOX9t4CIOTh0w7P1Yp2bbFiY2ONRuPChQudtFUAgoIQFwfGEBMDQZA7jRTBhVWE51T1lb4TsiI8pyI8x8GRrGF7sT799NPPPvvM19c3JSXFfnlkkJSE4GCcOIGMDLmjdCA2FstoNMbFxQFISUnp2bOnXSM5mpcX1q8HgKQkVFfLnaajsLFY6enpZ8+eDQsLe/rpp+0bSBaPPILRo1FWhhdekDtKR2FLscrLy9euXQvglVdecXd3t3ckGahUSEuDWo0tW5xqWgcFs6VYycnJ165dGz9+fHvu7lKa227DvHlobhbS0w/JnaUjaHOxsrOzd+zY4ebmlp6eziOQjNavZyNGjE1Pn/jll1/KncXptblYMTExJpNp+fLlAwcO5BFIRr16qWbMmAhgxYoVRqNR7jjOrW3F2r9//zfffNOjR4/Vq1dzCiSv2NjY8PDwM2fObN++Xe4szq0NxWpoaEhISACwbt26rsq+Dddm7u7uGzduBPDss89WVlbKHceJtaFYL730UmFh4bBhw5588kl+gWQ3derUCRMm6HS6NeKFNcQm1hbr119/FW9uTktLc3Fx4RlJfuIN3K+++uqpU6fkzuKsrC3WM888o9frZ86ceffdd/PMowgRERGLFy82mUwxMTFyZ3Fa1lxb88MPP6hUKk9Pz4KCAr5X8ShGVVWVv78/gAMHDsibpKmpVKtFdrb09VhaLbRaJV6P1XomQRBGjRoFIDk52QGBlOOVV14B0K9fv4aGBhljCEJDZeW7Ot1HkqOVle9WVr7r4EjWaL1Yb775JoA+ffrU1tY6IJByNDc333rrrQA2bNggd5bfGI2VVVXvl5a+VFq6Uaf7oLm5Wu5EZrVyoV9dXd3AgQOLi4t379796KOPOuK9WUm++uqrcePG+fj4nD17tlevXvKGuXbtQEHBXEGoA1SAChDUas3QoaUuLoqbixtobR8rMTERwJ133ik4wQ14XDz44IMAnnjiCXljGI0VJ07clJ3tf+3aQUFoFIQmgyG7vFyJj2cSWSrWxYsXPT09VSrVjz/+6LBASnPhwgUPDw+1Wi3vP8K1awe1WhQXp8iYoU0sHW6Ii4traGiYP3++uPPeOfXv31+cmEm8d1KuGCaTDoDJVCNXgLYyu4915MiRsWPHent7nz17trc40WVnVVtbO3DgwJKSkq1bt061dX5cf3+VWm1jL11dA5qaLufkDADUvXr9MyBgqYtLtz9GGWtsbrbx7JPJpKqqsjGVi4tLYGCguVGzxUpLS4uPj09MTFy3bp1t39i55OXlDRgwwNx0Jq+99trSpUvbs8X66qseXbqU2/a1gwef0GhGlJdvLypawVijSuXRteuU7t0X+PqOB1BT8/n58zZfGDcgMvKcbV8ZEBBQJjllFwAL82OVlpaaTKarV69aWLUgCLW1tV26dLEtmXJUVVVFR0f37dv30KFD3bp1a7lASUkJY8zLy8vms+/u7n5ubjbO7aNSuQHo0WNxt24PVVW9W1X1jk73nk73nr///NDQN1UqTzc3Gz+xmkz+Nn/aFW9UNsvczldubq6bm5uLi0t2drbkAidPnhwxYsTMmTN57Po52LJlywDce++9kqNFRUUajUalUn377bcODmaOXn/i1KlwrRbXrmXKnUWapU+FK1asAHDPPfdIjl65cuWmm24C8PXXX/PJ5iA5OTni/0InT56UXGDWrFkAZs+e7eBglul0B7RaXLmSJHcQaZaKVVVV1b17dwDvv/++5ALPPfccgOHDhzc3N/OJ5wgTJ04EsGzZMsnR7777TqVSeXl5FSpsgoeqqve1Wly5kih3EGmtHCB99dVXAQQHB0vOJGMwGEJDQwFsV+SD1K3x0UcfAejWrVt5eXnLUZPJFBkZCSAlReYDSHp91tWr24zGCvGvjY2FOTnDtFpUVx+WN5g5rRSrubl52LBhANatWye5wL59+8T9OJ34PCSn0tjYKM4Znp6eLrnAG2+8AeDmm2+uq6tzcLYbFBc/p9UiK8v15MngU6fCsrJctVp1UdH/yZvKgtZPQh85cgSARqO5fPmy5AJjxowBEBsba+9s3L3wwgsAIiIimpqaWo7W1NSIn5j2tnX2XD7q63NKS1MvX15eUPBYcfFzBsMpuRNZYtWlPNOmTQMwb948ydGff/7ZxcXFzc0tLy/Prtn4Ki0tFecM//zzzyUXiI+PB3DXXXfJe55UEIx6vdZg+EVyVK/X6vVaB0eyhlXFys/PF08aHj16VHKBhQsXArj//vvtmo2vxx9/HMCUKVMkR/84RXj8+HEHB7tBh73QT7Ry5UqYn8O9rKxMPHJ48OBBu8bjJSsrS61Wu7u7nz17VnKBBx54AMCCBQscHKylDl6s2tpa8YxhRkaG5AKbNm0CMGjQIMn9FUURBDZx4sMAEhISJBcQ74T28fEpLi52cLaWOnixGGMZGRkAAgMDq6slLlxsamoS741OTU21Xzwu3nmHde0qTJ68X/IHMRqNt9xyC4CNGzc6PltLHb9YgiDccccdAFatWiW5QGZmJgBfX9/S0lI7xbM/g4EFBzOA7dwpvUBaWhqA/v37y3up+x86frHY77freHh4nD9/XnIBcf6ZJUuW2CMbF6tXM4Dddpv0U7orKyvFm3M+/vhjh0eT1imKxRibO3cugOnTp0uOiqeu1Wq1VqvEz8CXLzONhqlUzNzZ5KVLlwIYO3asY3NZ0lmKVVJSIh7+OXTokOQC4k2e0dHRCrxM/m9/YwB75BHp0ZMnhTFjdru7e54+fdqxuSzpLMVijImX/g0ZMsRoNLYcVewjBVp9XMDYsQxgiYnKuqeqExWroaEhLCwMwLZt2yQXUOBDUFp9wMkHHzCA+fmxigrHJmtNJyoWY2z//v0A/Pz8KqR+D62euna8119nAAsKYpJVb2xk4eEMYFu3OjxZazpXsRhj48ePByDeu9LSH6eulfCguZqaVh4it349A1hEBJN6b5dZpyvW6dOnXV1dXV1dze3qKufRmHFxDGB33SX92MvSUubrywD2xRcOT2aFTlcsxtjixYsBjBs3TnK01VPXjpGfz9zdmVrNsrKkF5g/nwHsoYccG8tqnbFYlZWVfn5+ADIzpS/pt3zq2jEEge3axVaulB7Vaplazdzd2blzjo1lNWND2bnMkAuHRkiOnssMOZcZ4thEVmlv2VNTUwGEhYVJngDR6/VBQUEWTl3LSxBYdDQDWJJC70hgjDnr8wrbm8loNA4ZMgTApk2bJBewfOpaXrt2MYAFBjLlRfsfnbNYjLHDhw+LF5mId3XeQBCEqKgoACvNvRvJRK//7Wz0W2/JHcWyTlssxtjkyZMBLFq0SHJUq9WKV9WZO3Uti+RkS2ejFaQzF+v8+fPihbw//fST5AKWT1073h9no2X9wGod5yxWe58JLRKfL2dhrp8XX3zR29u7ubm5sbHRLt+xnWJjYTBgzhxER8sdpaOyV0Orq6vFJ2LuM3N429zdY4539ChTqZhGwxRwUsAKnXmLBcDX11d8lEN8fLzBYGi5gHjcQXaCgJgYMPbbE3sJJ3YrFoAFCxaMHDmyqKho8+bNdlytfRkMGDEC/fohLk7uKB1aK7Mmt9V33303evRoT0/PvLy8YFk3CJcuoaICffrghidWX7mCsjKEhsLfX6ZkbVVWhp49ERAAyVnOVCoAkG8OS3PsucUCEBUVNWPGjPr6evFkjozWrUNkJMaPxw0PHtyyBZGRKLdxbj1iLTsXC8DmzZs1Gs2ePXuOHTtm95W31enTSEuTO0SnZP9iBQUFiROEiJMN2339bRIdjTVrcOmSvCk6I/sXC0BSUlJwcPCJEyd27drFY/3W27ABjY1YvlzeFJ0Rl2JpNJrnn38eQGJiYk2NnFOTR0TgqafwySc4cEDGFO3j4oLAQAQESI8GBsL8nNgysvOnwj8wxqKion744YewsLCQkBAb1tC//8MXLy6w7btv3ox//Qv//jd0OjCGQYPg4YEzZ+Dtjbg4pKYiNxeDBtm2brmVl6O2Ft26QWp2ZwXhd+z1+PHjce04WDRmTIJ4VNmGP0eOsAULGMDEaQbffJMBLC6OMcZiYxnAcnP5/dx8GAwsJeW36zHEP+HhLDVViVfpM8YYs3HmcWvcfvvtgwcPnjRpkm1f7uYWesORAusNH449e/786/z5yMjAyy/j8cdtXKHM6usxbhy+/x733IOVK+Hnh7IyvPUWYmNx5AgOHIACH6Ysd7N5+d8tFmPs5Enm6sruu885t1hi6MTrJ0g2mdicOQxgL70kUyxLOkux2O+/neHDna1YtbXM25v17SvxrldTw7p0Yb16KfCaMi6fCpUpJQV9+iA7W+4cbfXf/6KuDlOmwLXFfouPDyZOREkJcnPlSGZJJyqWjw8UfHLcvIICABgwQHpU/HCbn++4PNbhuPMur5EjUV0NN7frXpw1C8ePo6gIPop82q008RokLy/pUfF1vd5xeazTYYu1ZAmWLJF43fk2Wr6+AGDuOHN1NQAo7wFsneit0FmJb3anT0uPnjoFAIMHOy6PdXgdeSd209SEm2+GSoWCAmg01w2VliI0FP37IydHpnBm0RZL8dzdER+Pq1fx1FNobv7z9fp6PPYYGhuxapV84cyiLZYzMJkwaxY++ACDB2PmTPTujcJC7N2LwkIsW4b0dLnzSaBiOQlBQEYGXn8dWVkwGuHpib/8BcuX46GH5E4mjYrlhOrq4O0td4hWULEIF7TzTrigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEuqFiECyoW4YKKRbigYhEu/h9VX6QqF/D3kQAAAMh6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAALihuYGRjSADSjMwCDApAmo2DQQNIMTPBaDYHMM3CDqGZ2RwywDQjJgOmhJuBkYGRiYOJkRmIWRhYWDOYWNkS2NgzmNg5Ejg4M5g4WRJEGNlYODnY2VjFm0C2w501a6anw9kzZxaDOMbGl+3T0tJUYWwGhgP2SOz9IPasmZJ2MPVA9v6HbsvA4mlpbAcQbLMDhgZWqkji9kjqwWwxAF2gMLaye62YAAAA/npUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nI2S207DMAyG7/MU/ws0ck5dc7m2E5rQUgkK78A97y/sTcHpgA47rnL4ZNn+ayD2Mj9/fOLb/GwMQDsr54z3QETmAtlgPD2dC6b1ONabaXkr6yscybr6lj2uy6XeOEwI1iVOSOjI0tWgmwp6cEbbp7vnH1zAopyz6S8utly3AyaukP5TYY8i7z3VlD5nCsMv5IFTdt66x+RwI4eHbedNyp2MLElb5g55KvNGqpt441JmFU/cq0TiQZWQY9SBM4qkY40cvQ4vchx0QpFj0DFEjqzNRg7X9hTlk9rS20LlXP9Q3psvDTuN9oIDBpYAAABnelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHiccw7WsPXXBOFkw7zk5OQ8Q4UaDWM9Q1MdAx1rQz0zBG2oZwpl6YKZBlBFugZ6ZiAhI0tLAxMg10jPEJVrAVEGEkcIgzTBeJo1AK6OG/MfixKXAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>0.940733</td>\n",
+       "      <td>[AP_3, SE_11]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAYo0lEQVR4nO2de1RTV9bAd0JAkIdCiVYUQRzxSWul1lbW+GiZ2nbQmX4t2oqho62Z8RU7aptlO220aqW2stJx1Vk4jjVLcVqcNdbY1k6pomK1BdRW8IGIFREVEFDeEJL9/XHSgJiEPO5JAuzf8h9zT87ZJL/ce+7Z+94rQkQgCKERuzsAomdCYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+CCxN0BWGT7drh8GQID4a23QCTqvHXjRrh7F5Ytg8GD3REc0RUij32AQHw8HDoEALBjB8yf33lreDhcvw55eRAb6/rQiK7pBofCVaugstLdQRB24ulijR0L1dWgVLo7DsJOPF2sN96AkBDYuROOHXN3KIQ9eLpYwcGwZg0gglwOLS3ujoawGU8XCwAWL4aYGCgshNRUd4dC2Ew3EMvLCz7+GEQiWLcOrlxxdzSEbXQDsQBg+nR4+WVoaoKlS90dCmEb3UMsAEhNhf794eBB0GrdHQphA91GrIEDYe1aAIAVK2gW3w3wOLEQLS6HLlkC48dDcTF88sk97W/fdk1ohB14llinT8PUqfD006DXm9nq5QVbt4JYDBs2QEOD8cU9eyAyEtasod2YZ+EpYpWXw2uvwcSJkJ0NN29CcbH5Zk88AQsWQHU11NQYXzl2DBoaYO1aiImBAwdcFi/RFehuWltRrcZ+/RAAvb1RocA7dxARn3oKAXD//s7tq6owNBQBEADz8hARv/sOY2KMrzz1FJ496+o/gbgfN4uVmYljxhidiI/Hc+faN1kSCxG3bbtHLETU6TAtzSicRIJyOVZUuCJ+whJuE+viRXzuOaMf0dH45ZedGxQWYl4e1tSYea9ej3l5mJeHDQ33vF5VhQoFSiQIgCEhqFajTscrfsI6bhCruhqVSvTxQQAMDsaUFGxpEbL/CxfwmWeMyo4ahV9/LWTnhI24VCy9HjUaHDAAAVAsRpkMy8t5jaXVYlSUUa+EBLx8mddAnkZBQYFKpRo7duy+ffvOdZxbuBbXiXX4MD70kPGbnj4df/6Z+4gtLahWY1BQ+2nB3bvcB3ULBoPh5MmTq1atGjZsmOm0TCwWx8TENDY2uiUkV4h17RrKZEalwsNRo3HBmO3cuIFyOYrFCICDBmFaGur1Lg2AH3q9Pjs7W6FQDBkyxORTaGioTCbLyMgYNWoUACxZssQtsfEVq74eVSr09UUA9PdHlQqbmrgOaJG8PIyLM8odG4vZ2e4JQxDa2tqYT4MGDTL5NHToUIVCkZ2drf/1d5Ofn+/n5wcA+/btc32QvMQyGDAjA4cORQAUiTAxEUtKOA1lX0gREe0hXb3q5pDsorm5OTMzU6FQDBgwwOTTsGHDmE8Gg+H+t6jVagAIDg4ucfmnz0WsEydOTJ+uY7uHxx/HH3/kMYiD1Nfj22+370T//vcsd81CbKSpqUmr1cpksn79+pl8GjNmjFKpzO5qx2swGGbNmgUAv/3tb9va2lwTMENgscrKyuRyuVgsnjp1f1iYIxMa1/z5paUok2FYWEnfvn2HDBmi0WjM/uLdSENDA/MpMDCwo08qler8+fO291NZWRkWFgYA7733Hr9o70cwsRobG9etW+fv7w8Avr6+7767rr7e7k60Whw+3BUnjIzs7J8efvhh9p1NnTr1zJkzLhrYMtXV1RqNJjExkX2SHX0qLCx0rM8jR454eXlJJJLjx48LG60VhBFLq9WaTnQTEhKuXLlibw+5uTh5snFy7crzGL1er9FoBg4cyM7PZTLZrVu3XDf8r9y+fVuj0SQkJPj4+JgWC+Li4tRq9fXr153vf/Xq1QAQHh5eVVXlfG+24KxYZ86cmTJlCvssRo8e/c0339jbQ2UlKhTo5YUAGBqKarWLjoYdqampUSqVffr0AYCAgACVStXc3OyCcSsqKphP3t7e7DP08vJiPt24cUPAgXQ63RNPPAEAL7zwgoDdWsFxsW7fvq1QKLy8vAAgJCRErVbbOz1kdQ2es4B56dKlhIQE9gWPGDEiIyOD00AlJSVqtTouLk4sNpYt9enTJz4+Xq1Wl3PLRZSUlAQHBwPAtm3bOA3REUfEam1tVavV7CTF29tboVDUmM0VW4VNp0x1DfbMR/mSmZk5duxY9n3Hx8fn5+cL1fOVK1eYT6Jfb3Li6+ubkJCg0WjusFIhzmRkZLBBz/IvLbJbrE6fe0FBgb09XLiAzz5rVGrkSPzqK3s74E5ra2taWlpoaCj75cjl8srKSod7KygoSElJiYuLM03G+/bty3yqra0VMGxbmD9/PgCMGzeO9yKLHWIVFhaajhTR0dEHDhywd7Dq6vayluBgTy9rqaqqcuZYz5LBo0ePNvkUHBzMki31DpwwW8ZgMOTk5CiVys2bN3fZuL6+nqV6li1bJmAM92OTWB3ntv37909JSbF3bssK8aTS7leId/78+RkzZth+dsJ8io6ONvn0wAMPyGQyrVbbImh5kF6vz8vLU6lUI0aMYANFRkbashp39uxZX19fkUj0xRdfCBhPJ7oQi52NsxyCw2fj33777axZH5imU/YfPN2PVquNiooyracUFxd33GpKBg/ucBs4qVTKfGptbRUwkra2tkOHDi1evLhjojA8PHz58uVHjx61cZk3NTUVOKd6rImVlZXVcf3wp59+srf3oqIillIAgD/84TLPXwh3Wlpa1Go1Wwf38fFRKBTV1dW2JIMFwZR4fvDBB01jRUREWEkUWsFgMMycORMApkyZwinVY1Gs06dPm3awe/futbff+vp6lUrFjp7+/v4qlarJXYUNgnL9+vV58+ax0zo2u2eMHDly9erVeaYifIFgiUK5XC6VSk1jRUVFOeZTRyoqKtjvYf369QIGbMKiWJMmTQoICHjrrbfsFcJgMGg0GvbDEolEMpns5s2bTsfpWZw8eTIsLCwoKCg8PNyWZLC9NDY2skRhUFCQySeW2BHQ3aysLJbq+f7774Xq04RFsdi8yt4ZVU5ODlvhBYCJEyeeOHHC6Qg9lOTkZADYuXOngH2aEs8BAQGdfLpw4YKAA5lQKpXAJ9UjmFjXr1+XyWTsGDF48GAPrBcQFgHFYonnhIQENnNg50mxsbEqlaqoqMj5/q1gSvW8+OKLwvYsgFiNjY0pKSnsR+bn56dUKl2/7ud6nBfLlHi+P1EoSOLZRoqLi9kBd/v27QJ266xYWq02MjLSdB7uQF1DN8VhsUpLS9PS0hISEiQSSSef3DUZ/fzzz9k5ll2VXtZxSiyVSsU+mkceeeTYsWNCxdQtsFesq1evmk0UpqWlVXjAYvErr7wCgqZ6nBKrtLQ0PDzcgbqGHoCNYhUXF3fyyc/PjyUK73rSxWj19fUjR44EgOXLlwvSobOHwl6oFMMWsbZu3Wo6uevXr19SUtJ///tfjy2xP3XqlI+Pj0gk2m/2hhl24uxtjFiOljBLfHx8SEgIS+yUl5fv3r37+eefZ5dkeSATJkzYuHEjIr766qs3btxwsjfPfUhTD2DEiBEVFRXd6Lf317/+9ciRIwcOHJg7d+6hQ4ecidxTbrzWU+lGVgGASCT617/+NWjQoKNHj37wwQfOdEViEfcglUr37NkjFotVKtWJEycc7ofEIjozbdq0VatWtbW1vfTSSzWme3LaCYlFmGHDhg2PP/54aWmpXC53rAcSizCDRCJJT08PCgr6z3/+s2PHDgd6ILEI80RFRf3zn/8EAIVCcfHiRXvfTmIRFpk9e3ZycnJDQ8Ps2bObm5vtei+JRVhj69atI0eOzM/PZxfp2w6JRVjD398/PT3dx8fn448/1trzfCwSi+iC2NjYDRs2IOJrr71me6qHxCK6ZuXKlQkJCZWVlXPnztWbfc7RfZBYRNd0TPV8+OGHtryFxCJsYsCAATt37hSLxe+8887Jkye7bE9iOciAAa9PnLjf1/cpdwfiOp5++ukVK1a0tbXNmzfv7t271huTWA5SUfFIbu6s5uYhXTftQbz//vuTJk26cuXKwoULrbcksQg78Pb2ZqmevXv37ty500pLEou4h7KyMoVCUV9fb6nB8OHDt2zZAgBLly61kuohsYh2DAaDTCbbsmXLqlWrrDRLTk5+4YUXmpqajh8/bqkNiUW0s3HjxqysrAEDBqxZs8ZKM4PBUF1dbTAYamtrLbUhsQgjubm5a9euFYlEO3bs6HizpPv58MMPs7KypFLpyy+/bKkNiUUAANy9e3fOnDk6ne6NN974/e9/b6VlXl7eu+++y/zreGOwTpBYBADAokWLfvnll9jY2HXr1llpVl9fn5SU1NraumLFCtMNac1CYhGwffv2f//73wEBAXv27DE9GsMsixYtunTp0oQJE95//33rfZJYvZ2ioqIVK1YAwD/+8Y+O9+S9H41Gs3v3bn9//y79AxKrl9PS0jJnzpy6urrk5OR58+ZZaVlcXKxQKADgk08+YXd5sA6J1at58803z5w5Y1rztIROp0tKSqqtrZ09eza7L02XkFi9l4MHD27ZssWUpbHScvXq1T/++KPp8gpbILF6KeXl5fPnz0dElle20vJ///tfamqqRCLZvXu3df86QmL1RgwGWLo0pby8fMaMGStXrrTSsqKi4k9/+hMirl+/3nTbYlugu830RjZtgm+/TZ0xY6RG87zpjnD3g4gLFiy4desWu+jeriFIrF5Hbi6oVKDTiZYt+8vAgdZafvTRR1999ZVUKk1PT7f3tjl0KOxd1NdDUhK0tsKqVWA1cwOnTp3629/+xqrd2ePK7YLE6l385S9QVASxsbB+vbVmptTN66+/zp66Yy8kVi/i008hPR0CAiA9HayvnC9evLiwsDAmJqbL1I0lSKzewuXLsHw5AMDWrWB95TwjI2PXrl3+/v4ZGRm+vr6ODUdi9Qp0OkhKgro6mD0bZDJrLS9fhh07Ir29+27ZsoU9i9Ux6KzQQWbPhtGjITbW3XHYhlIJOTkwfDhYXznX6WDuXMjNfWzJkmvz5z/g1JCW7tPt2NO/ejCVlVhcjL/8Yn5rWRkWF2NdnUtDspGDB1EkQm9vPHmyi5ZvvIEAOHQoVlc7OyiJZStyObKnD5t9yPq0aQiAn33m8rC6orwcH3wQAXDTpi5aHj6MYjFKJCjIswAFmGPt2rXLytVCPY+lS6Ghwd1B2IbBAPPmwa1bMG0aWM3cQGUlJCWBwQDvvQf2ZG4s4qxYhw8fTk5Ojo6O3rZtm8FgECAiz8bfH0pKYMMGd8dhGx99BJmZIJXCnj0gtvxVI8KCBXDzJkydCm++KczQzorVv3//SZMm3bx5889//vPkyZN/+OEHQcLyWBYtAn9/2LwZzp93dyg2oNeDtzdoNGD5ogcAgNRU+PJLCA2FPXtAsAceWDpG2j7HMhgMGRkZQ4cOBQCRSJSYmHj16lUBjtIeBptjbd6M77yDADhlCnZ8gqzHzrG6/CpOnUIfHxSJUIhHM7UjwByLyXThwgX22Pq9e/eOGTNmzZo19t4OtbuwejVERMCxY2D13gWeQkSEta0NDTB3LrS2gkIBs2YJOrAl4xw7K7x27ZrpydBDhgzpSU+GNu2xEPGzzxAAQ0Px9m3jVo/dY1nnlVcQAMeNQ8GfdWdRrMTExODg4Dlz5jjwPNmsrKyHH36YiTt16tSffvrJuSA9go5iIeIzzyAALlhg/G93FOvzzxEA/f1RuAf2tmNRrDNnzrBLfIKCgjZt2tTS0mJXv3q9XqPRsN2eWCyWyWTl5eVOR+tOOol18aJxavL994jdUKziYgwKQgAU9BHj7VgUCxGLiooSExPZjuc3v/lNRkaGvb3X1NQolco+ffoAQP/+/VNSUpqbm52I1p10EgsR33oLAXDCBNTr28X67jv8v//D9HT0pAfzdkanwyeeQAB88UVeQ1gTi/Hdd9/FxMQwvZ588smzZ8/aO0ZhYaHpcuzo6OgDZpeuPZ77xWpowMhIBMBPP20X69VXjQv0ffpgfDyq1eiBe2qlEgEwPByrqngN0bVYiKjT6dLS0qRSKQBIJBK5XO7Ag9czMzPHjh3L9IqPjy8oKLA/Wjewfz++9hqiObEQ8YsvEAAHD8aJE41iVVaiRoMJCejtbTTMywvj4lCtxhs33PIXdCYrC728UCIxHsQ5YZNYjKqqKoVCIZFIACA4OFitVut0OrsGa21tVavV/fr1AwBvb2+FQlFTU2NnwK6joAB/9zujHF9/bV4sRJw509im0xyrqspomI+PcatYbDSstNSVf8c9VFTgoEEIgOvX8x3IDrEYFy5cePbZZ9mOZ9SoUV9//bW9Pdy+fVuhULDi/JCQELVa3dbWZm8nXKmuRqXSKERwMKakYEuLRbFKStDf34xYJmpqUKPBxMT2ZgA4ZgyqVFhY6IK/ph2DwfgzmDIFeX/kdovF0Gq1w4cPZ3olJCRcvnzZ3h5Onz49ZcoU1sP48eOPHj3qWCTCotejRoNSqXEHI5Oh6ZhvSSxEXLfOmlgmGhpQq0WZDAMDOxvG44T/flJTjT+VkhLuYzkoFv56XGOXxrLj2l37T4S0Wu2wYcNMgl65csXheJzn8GF86CHj9z19Ov788z1bd+1CuRwzM828sbkZly1DuRxzc20aqKnJaFi/fvcYplRidrYAf4gl9u/H0FCBUzeWcFwsxo0bN+RyuVgsBoBBgwalpaXZe1xrbGxMSUkJDAwEAD8/P6VSWVtb62RU9lJSgjKZ8QsOD0eNxkXjtrVhdjYqFDhwYLthkZGoUGB2NvLIWbhsEcRZsRh5eXlxcXFsxxMbG5tt/++urKzMlAsKCwtLS0vT6/WCxGad+npUqdDX17gGrVJhU5MLhu2MyTA2s2b/hg5FhQIzM22aD/3xjxgcjIMHY1mZma0xMRgcjKdPCx64RYQRC3+tcYiIiAAnahxycnJMNwiYOHHi9zxPiA0G1GiM1ZUiESYm4rVr/EazFb0es7NRqcThw9sNCw1FmQy1WmxttfjG+Hhj4zlzzGwdOhQBMCeHX+CdEUwsRkNDg0ql8vPzA4C+ffuqVKpGO9ObBoNBo9Gwu/YyQa9x+MJzcoxLzwA4caIwxbiCU1CAKhVGR7cbFhJiNOz+BBsTSyJBADx4sPPWbi8Wo7S01Mkah9raWlMuKDAwMCUlRagqibIylMlQJEIADAvDtDR0ySHXKZhhY8a0G9a/PyYmokaD9fXGNkyshQsRACMi2l9n9BCxGEeOHBk/fjw7rk2aNOmHH36wt4eSkhKZTAYAs2bNcj6exkZMSTGe6vv5oVKJLj9JcJaCAly7tv3UFQADA/Gll/DuXaNY+/bhk08iAL799j1v7FFi4a81DgMHDjTVODhw2U9mZmZRUZGTkWRk6CIijF9GYmLXdZUezi+/oFqNcXEoEmFkJBoM7WKdO4cSCfr44Llz7e17mliMuro6VlwKAAEBASqVypU1Dmwldtq0DQA4fjx6xkKsYFy9ikeOIGK7WIi4ZAkC4NSp7QsWPVMsxqVLl0xFOCNGjHCgCMdeysvLFy5cyNbYIiOjtm/XeVjqSEg6inXnjnHZYudO49aeLBYjMzNz3LhxphqH/Px8HqPcn+2+c+cOj4E8h45iIaJGgwAolRqvae75YiFia2trWlpaaGioqQinsrJSwP67aX2Ok3QSy2AwlogtX47YS8RisCIcYWscekZFoWN0EgsR8/PR2xu9vfH8+d4kFuP8+fMzZsxgKowePfqbb75xrB9WA82K9Lt7DbRj3C8WIq5ciQA4c2bvE4uh1WqjoqJMNQ7FxcW2v7fnXbXhGGbFqqvDIUMQwFjO2uvEQsSWlha1Ws1qHHx8fGwswul4ndm0adN6xnVmjmFWLETMyGhfTe2NYjHKyspMRTjWaxzYlbFMqR52ZaxjWBILEZ97rteLxcjNzZ08eTKT5tFHHz1+/HjHrSzPze6NyfLcTW6pdPEwFi3C2FjMyjKz6dIlfPRRjI29Zy2eN54oFpq70UhJSYnZF90dKWEeDxWLUVdXt3r1arZz8vf3N1XZP/bYYye7vO0h4VY8WiyG6UYjMTExrPrZNcWlhDOIEBG6A/n5+QEBAVKpNCAgwN2xEF3TbcQiuhf0AAGCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFcILEILpBYBBdILIILJBbBBRKL4AKJRXCBxCK4QGIRXCCxCC6QWAQXSCyCCyQWwQUSi+ACiUVwgcQiuEBiEVwgsQgukFgEF0gsggskFsEFEovgAolFcIHEIrhAYhFc+H/uSpKLetZ9KwAAALt6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAATiDmAuIGRjaHDCDNzIxgsDtogBlsEJoFtwqESqgENwNjAiNTBhMTcwIzSwYTC2sCK1sGExt7AjtHAgdDBhM7c4IIExsDBzszEyMrCzM7G6t4GVAnI9xZrH3CBxgYHPaDOFC2PYitebUBKHYAzH54bKodTJyX5479uZDZYHZ+sZoDUHwZkvh+JPX7kcwBs8UAPzApOugAm3kAAAEMelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfVJBjsMgDLzzCn8AZMCGcGySalWtSqRt2j/03v9rTatAI7VARjLOxPGMUVDW3/x7f0BdblYKADtPSgluHhHVGUoA4/HnlGFaD+OWmZZrXi+QwCI89556WJfzlrEwgXbGIzN50GgiS2n5xCC+go3pdswO0UMGbSUdGBmsYfxCJKmIxiXHvluQhWdNtMnaQQJnPTv+wAvCcyYgxhSKFPz24ygd1oK6U3EQYu2wZ04q5lTNuiP6mOfdAF4jGZc8t5GQwDXfSeCbu1TQPCybm1VygNAcIUFsukkwNHUkSE0DlStT28Dna3pv/L3Nct4uncTqH9GUhi/yngcLAAAAdXpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF3NQQqAMAwEwK94VEhDNjFq6XNy7wv6eGvBCl5CwrCbQFStEdEHlrYmZRP3nZLw6VQSWORwUF/6KaxZ3exl8IkMfVRhblSUD5GL5LNJM/yrHs3z8cCt3RY+H/ZXzKZcAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAQDklEQVR4nO3de1BU9xUH8LMPnlJYCCu6C4IErYqpOI4NGgxqoFVDMyZRk3RcUzpGZ0xdMuljbf9w0elYxzQza9RmYDo1qDM1+OqQVGtNNC1iFFGiqaNGIxFZeYq4yJvd0z/uyktEVvbc397N+fx597L3sPvde8/93Tv3p0JEYMzb1KILYP6Jg8VIcLAYCQ4WI8HBYiQ4WIwEB4uR4GAxEhwsRoKDxUhwsBgJDhYjwcFiJDhYjAQHi5HgYDESHCxGgoPFSHCwGAkOFiPBwWIkOFiMBAeLkeBgMRIcLEaCg8VIcLAYCQ4WI8HBYiQ4WIwEB4uR4GAxEhwsRoKDxUhwsBgJDhYjwcFiJDhYjAQHi5HgYDESHCxGgoPFSHCwGAkOFiPBwWIkOFiMBAeLkeBgMRIcLEaCg8VIcLAYCQ4WI8HBYiQ4WIwEB4uR4GAxEhwsRoKD9UinT5/evn37/fv3RReiSBysR9q0adPatWuNRmNOTk5lZaXochRGk5ubK7oGHxUSEmK3269du3bmzJkdO3ZcuXIlPj7eYDCIrkshkA3p3LlzJpMpICBA+rhmzJhRUFDQ1dUlui5fp0JEsclWhOrq6ry8vG3btjU2NgJAYmLiqlWrVq9erdPpRJfmq0QnW0mam5vz8vImTZokfXTh4eFms/nmzZui6/JFMgWrsrJSng3JwOl0Hjx4cM6cOVK8Ro0a5cjOxrNnRdflW+QIVkVFhUajee6554qKilwulwxblMf58+dNJtNb6ekIgAA4YwYWFCC3X4goT7AOHDgQFhYm/b6nTJmSn5/f1tYmw3ZlcusW/u53qNO54/X00/jBB9jcLLoswWQ6FN67d89ms40bN06Kl16vt1gsVVVV8mxdDs3NmJeHkya54xUejmYzfo/bL1mbd6fTWVRUNGvWLClegYGBJpPp4sWLctZAy+nEoiLMyHDHS63GrCwsKRm42jffoM2GFgv+6U9YWiqiUHJizgrLyspMJpNWq5US5n/tF54/jyYTBgQM0n5t2oRaLaamYnY2vvACBgTgihXY3S26Yi8TOdxw/fr1tWvX9rRfkydP/nzXLmxtFViSl0ntV2SkO167d+PRowiAe/b0rvPllxgYiO+9J65KEuLHsfq2X2eSk1GvR4sF/az92rYNZ8/GtjbMysLU1IErrFyJ8fECCqMkPliSzs7Of+3fjzNnun/cQUGYnY0XLoiuy9vGjMHf/Gbgwt27EQBra0UURMVX7m4ICAj46auvQmkplJWByQROJ+zcCdOmQVoa7NsHTqfoAr3k3j2IiRm4UFpy96785dDxlWD1mjEDdu2Cb74BiwV0OigpgWXLYNIk2LoVWlsHWd/lgpoaqKkBRVz0DA+H+vqBC+vqAAD87LKj6F3mkBwOtNkwPt59fIyIQLMZb91yv9rdjevXY3S0+9XRo/GPf0SnU2jFj7NwIaanD1z4q1+h0SigGEq+HSxJVxfu3Ys//nFv+/XOO4iIb72FUVH4979jXR3W1OCuXfiDH+DataLLHdKhQwiAhw/3Lrl6FUNDceNGcTWRUEKwepSVocmEWi3+4Q946RKqVLhzZ78Vtm9HtRqvXxdT3jDl5GBAAC5Zgrm5+ItfYHg4LlqE7e2iy/IyBd6PVVEBYWGwezesWwctLfDgFjwAgLY2CAuDbdtgzRpx9Q3DyZPwj39AVRVER0NmJrz0EqhUomvyMq3oAjw3fjwAQFUVxMb2SxUAhIRATAz4/v3paWmQlgZHj8L585Cc7H+pAkUGS6JWQ3f3IMu7u0GrkH/qr3+F/fth/HhIShJdivf53nDDMCUkQHU1tLf3W9jcDA0NkJAgpiRPGY0AAHa76DpIKDZYixaBywU7d/ZbmJ8PWi0sXCioJg/5dbAUctR4WGIivPMOWCwQGAiZmYAIR47A+vVgsbi/MN8XGwvAwfJBf/4zGAywcSOsXAkAkJAAW7bA22+LLmvY/HqPpcDhhoc5HOB0gloNERGiS/HEt99CUhIkJEBFhehSvE+xPVZfxcUQHQ0rVoiuw0NGI6hUYLeDyyW6FO/zi2Dp9eByKe+YEhwMkZHQ1QUNDaJL8T6/CJbUrFRVia7Dc/7bZvlFsMaMAY0G6uuhs1N0KR7iYPk0jQZiYtw3ZikLB8vXKfQb8t+hLA6WUAotexj8JVgK/ekbDADgfPhmZeXzl2Ap86d/NS5OHxqa4o8DpEq+pNOXMoP1lMHQ0NrarcSBksfhPZZITz31VHBwcFNTU0tLi+havMy/gqW0n75KpRo7diwA3L59W3QtXuZfwVLg1xMbGwsAdqXtax/LX4IVFgbh4dDWBo2NokvxjNFoBIAqpe1rH8tfmneAUwsW3KypmV1dHR8VJboWD0jB4j2W77I2Nv78v/+9fOuW6EI8o9BglZeX79ixY4gV/CdYCm1WFBcsRNy6deusWbNycnJOnTr1qNX851CouG9IoqyyGxoasrOzP/30UwAwmUwpKSmPWpODJZiCdrQnTpwwmUx2uz0iIiI/P3/ZsmVDrOw/h0KFBstgMKjV6urqaqcPPwOsu7s7Nzc3MzPTbrenpqaWl5cPnSrwv2Ap7rw9ICAgOjra6XTW1taKrmVwlZWVc+fO3bBhAwBYrdaTJ0+Ol55yMCR/C5bi9lgAoNfrAaC8vFx0IYM4cOBASkpKSUlJXFzciRMncnNzNRrNsP5S8NNuvMfpdAYEBKhUKgVNe+FyuWw2m1arNRqNGo0mKyvr1KlTootya21tNZvNUkgWL158584dj/7cf4KFiHFxcQBw48YN0YUMS01NzYIFCwBApVIlJyf3PPX++eefP3TokFPoownbvvpq6pQpABASEvLhhx8+wTv4VbBSU1MBoLi4WHQhj/fZZ59Jl5+jo6OLiooQ8fbt21arNerBZYPExMTNmzffvXtX7spcLszLw9DQw+npkydPvvCkD672q2AtWbIEAPbu3Su6kKF0dXVZrVa1Wg0A8+bNGzChkOApEevr8Wc/kx7J6Xz77dYRTObgV8HKyckBgPfff190IY9UUVExe/ZsANBqtVartfsRM51Ikw5lZGRI8VKr1XK0X8ePo9HofojwiH+cfhWsLVu2AMC7774rupDB7du3T5rqd9y4ccM8XpeWlr7xxhs9M1JnvvCC6+BB7z8ZuqsLrVbUaBAAU1PRG02q/wTL6XS+9tprYWFhUVFRNputpaVFdEW9+p5hvfLKK42NjR79eXV1tdR+rZwzBwEwMRE3b0ZvtV83b2JaGgKgRoMWC3Z2euVd/SRYt2/flg4cPT9uvV6/fv36mpoa0aXhuXPnJk6cKJ1h2Wy2J36f5ubm2vx8fPpp92PJdTr87W9xhHMiHzjgnkMqLg7/858RvVV//hCsY8eOjRkzRgrTJ5984jtTIkrDVEFBQQCQnJzsnTKGOSXiY7W2otnsfpPFi7GhwQu19aHsYHV2dvacYc2fP99ut/e8JHxKxLq6uhdffFHauslk8v6heYgpEfvq7sbycjx2DP/3v97m7NIlfOYZBMDgYLTZkOBjUXCwbty4IQ1cSWdYg44o3rhxw2Kx6B5MUzNhwgR52q/PP//cYDD0HaaiUl2NVitGRbnjNX58v/Zr/34cOxa1WjQaUa3GhAT8978REQ8fRpUKJ0/Gr74iqkupwSooKJBm0IyPjy953IFAmhIxPj6+p/2im5G67zDV3LlzZZr3WpoSMSmpd9Khs2fxiy9QrcbcXPfcog4HrlmDQUHuMBUWks45OlSwDh48ePXqVbptPxmHw7F8+XIpIkuWLBn+2LQ0OCQNI/W0X088sjyo7777bjjDVFR62q+YGGxrw/nzcfbsfit0deGECfj66zLU8shgORwOnU6nVqszMjJ8Z8Lms2fPJiUljfAM6+H2q7CwcOQh2LdvX2RkpEfDVFTq6rCjAwMD8eGx4nXrcPRoGUp4ZLBqa2tXrVoVEhIiffopKSkFBQUdHR0y1DQ4l6tyxw5pNGH69Okj35UOaL+SkpKeuP3qO0z18ssve3ojAInqagTAwsKBy//yF1SpBunxve0xPVZ9ff3mzZul22cBICYmxmq11tfXU5c1UG0tLlyIAHlpaWazud17c2U5HI6+7VdERITZbL7VMyXiMHz99ddTp04FgODg4JEMU3nZnTsIMHB2NETcsgW1WorTwAGG1bx3dHQUFhbOnDlT+vSDgoJMJtOlS5eoi3M7cgRjYhAA9XrXP/9JsYWH26+lS5eeOXNm6L/qO0w1ZcoUUaNlj6TX47p1Axf+8peYnCzDxj07KywuLl66dKl0D6FKpSJvv6RrWGo1AuC8edhnmIrI8Nuv+vr6rKwswmGqkVuzBvV6dDh6l9jtGBqKGzbIsPEnGW64fPly3/Yr+6WXsKAAvd5+VVTgrFkIgFotWq1yzsn72Pbr+PHj0jBVRETExx9/LFthnqmrw4QEnD4d9+zBkhL8299w4kT80Y/w/n0ZNv7k41hNTU02my02NnZfaioCYEwMWq3orfarsBB1OgTA+Hg8edI77+mhQduvioqKnmGq9PR0j7oxAWpr0WzGH/4QIyNx6lT8/e+xqUmeLY90gLS9vb37o49w2jT30FxoKK5ejVeuPPk7OhxoMrnf7dVX0cMbAbyuq6tr7969zz77rBQv6Sip1Wo3bNgg9zCVonhv5L24GJcudd/To1JhRgYWFXl89lFWhhMmIACGhKDvnGEh4oP2a9GiRfPnz1fE3c9iefuSzrVraDZjaKh7lzNtGublDXLp4OpV/OgjzMvDI0d6X/3gAwwMRABMScHLl71cmJfwXmqYaK4VNjWhzYaxse54jR7d2361t+Obb6JGg8nJmJ6OkZFoMOAXXyAi5uWhSoWrVpFew2LyoLwI3dGBfduv8HC8dw9//WvU6bCszL1OezuaTKjTuYcSSksJ62EykuXuBqn9Wr4c79/H0FDcuLHfq42NGBGBublyVMLkIuNEmE4nfPklzJkDp0/Dg5MstwULABGOHpWpEkZPxmc3aDRw5w6AezqGfgwG8MfZGb7P5H0oyKhRAAB37w5cfvcuhIXJWgkjJm+wkpNBpYILF/otdLng4kV45hlZK2HE5A3W2LGQmQnvvQft7b0L9+yBigp4801ZK2HEZJ/F/ttvIT0d9Hp4/XXQ66G0FHbuBIsFNm6UtQxGTPZgAcCdO7B9O5w8CS0tkJgIK1bAT34idw2MmIhgse8B/3lUJPMpHCxGgoPFSHCwGAkOFiPBwWIkOFiMBAeLkeBgMRIcLEaCg8VIcLAYCQ4WI8HBYiQ4WIwEB4uR4GAxEhwsRoKDxUhwsBgJDhYjwcFiJDhYjAQHi5HgYDESHCxGgoPFSHCwGAkOFiPBwWIkOFiMBAeLkeBgMRIcLEaCg8VIcLAYCQ4WI8HBYiQ4WIwEB4uR4GAxEhwsRoKDxUhwsBgJDhYjwcFiJDhYjAQHi5HgYDESHCxGgoPFSHCwGAkOFiPBwWIkOFiMBAeLkeBgMRIcLEbi/77Gu6Yo/kRHAAAA3npUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQABuIOYC4gZGNoYEIM3IzMGgAKSZIFxmqDATnI8ijaYag8vNwMjAyMTAxMzAzMLAwsrAysbAws7AzsHAxMnAycUgwiDeB1IHd0yrcqvDAVX5vSDO+pU2DsfeZ+8HsQ/eOmnPo7RgH4ht0LDLzoJ9Jlh80o2G/Rv0xcDsxZx8B3rF9oDZn46mHojyiwGzq8Wm7q9ak24PYve4Kx2Ye/QgmH1jzlb7SU+ngdk27S62n648AbPFAAUqNTjPdsGPAAABUHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1SW04DMQz831P4Ao3sPPz4bLsVQqi7EhTuwD/3F/ZWJS1EJGvJiSezzkwmiPE6v3x+wc/I8zQB4D+fmcFHQcTpDJHA4fT0vMDxsj/cdo7r+3J5AyIghG0+YveX9XzbIThCTcTYlGGHCYtqq+DJNvrRDCvkZFW0SQAtE2cZAIszUmrCphrAQlkYB8DqQC9zzc1gR4mstVIGwOZAryMyowWl98rcBkj2Jnc5ZbJSNM5UturZX6QEZ0nNMON2H3UJhAZIDU7vjqtU87phNeEB0IIyp1Yak4QEVLSO7uOurF6vpOqMTi2qOvo10SYRVjGvUxKVaw+/gadlfnD16vNhXebuc8zc3fQFlO4ZedTuDHm0rj95cBeZPKQrGVXtcpGHdVGCme7vvj1Lovve7zuN9e01ez59A8X8l4DNTZFhAAAAq3pUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nB2Oyw3FMAgEW3nHRMIIMF/56ALSUIp/OBKH1Wo0y372tff17Pu733uNiVYkDIMwnSwY1hAUrqkwGNVLtStGIvcPs3R3g0U4XcXqYFxmExajhVcdarKEwxIsjfTTlLBLwFLkHvogmpl2/D3EHaFNkZlHThqVdKrICPt+YNdOrSKtY+9PbZpLQ8YzFe73D7f1LhK8QHVbAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999914</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>[AP_12, FP_12]</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>0.970284</td>\n",
+       "      <td>[AP_3, SE_12]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999415</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>[AP_12, FP_16]</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAATN0lEQVR4nO3deVwV5RoH8N85BxAREMgdyV1KSRO7XddMAzW1REP7pGVmiloZqLnkwidNc00tTcXuVTJzCy2S6oKWpRmKSpuxuaXiDiKC6OHAee4f44cU5pzDMu/MGM/3P8+8zfuIvw4z8y5jICIwpjSj1gWwfyYOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg8WE4GAxIThYTAgOFhOCg1WdZGVh6lT4+8PFBUYjHnwQo0fj+HERXRn4ndDVRXo6goJw/jz69kW3bnBxQXIyYmLg7IydO9Gnj7K9cbCqh+JidOiA1FTs2IFnn/378+RkBAUBQEoKGjRQsEP+VVg97NqFP/5AWNg9qQIQGIh585CTgzVrlO2Qg1U9xMcDwAsvyBwaPhxG450GynFS9nSlXLhwYdWqVUK7KKexY8c2adJE6yq0k54OAG3byhyqXRt+fsjIULZDgcHauHHj6tWrDx06JK6L8ktOTh40aNDYsWO1LkQj+fkA4O4uf9TDA5mZynYo6uI9Pz/f39//woULoaGhHTp0ENFF+R07dmzLli0+Pj4ZGRkPPPCAtsVoo1cv7N2LnBx4eckcbdYM168jJ0fJHkmMGTNmAOjYsWNxcbGgLiokODgYQEREhNaFaGTMGAIoMVHmUH4+mUz0r38p26GQYJ06dcrV1dVgMOzfv1/E+Svh2LFjTk5OTk5Of/zxh9a1aGHrVgLorbdkDn3yCQE0Y4ayHQoJ1uDBgwGMGDFCxMkrbdy4cQCCgoK0LkQLZjM1b06urnTo0D2fnz1LjRuTuzudO6dsh8oH6/vvvwfg5uZ29uxZxU9eFdnZ2T4+PgDi4uK0rkUV6el06dLffzx4kGrXJldXmjCBPv+cYmMpMpIeeICcnGjLFsU7VzhYRUVF7du3BzBv3jxlz6yIZcuWAWjZsuXt27e1rkUwq5U6dyZPT/rxx78/TE+n0FCqWZMAAsjJiXr1ogMHRPSvcLBWr14NoFmzZrdu3VL2zIqwWCxt27YFsHTpUq1rEWzjRgKofn3KzS19yGym06cpPZ1u3hTXv5KPG3Jyclq3bp2VlRUTE/Pcc8/ZapaSkpKQkKBUp2X17NlT+taUtWfPnuDgYA8Pj4yMjAaKjo7pSEEBHn4YZ88iOhovv6xNDQqGNDw8HEDPnj3tN1u/fr3Qv9HKlSvtF9C/f38AY8aMUe6vrjOzZhFAgYGk3bMexb6x0tLS2rVrZ7Vajx49aucLA0BSUtLmzZsV6VRWaGhot27d7DQ4ceJEQECAxWI5dOjQY489Jq4SbZw7h4cewq1b2LcPsj+H6dPRpAnCwmAyCSxDqYQ+/fTTAMaNG6fUCYWaNGkSgK5du1qtVq1rUVpoKAH04ovyR3/5hUwmcnamjAyhVSgTrF27dgHw8vK6cuWKIicULTc3V7rA2rZtm9a1KGr/fjIYyM2NzpyRb9CjBwE0aZLoQhQIltls9vf3B7B8+fKqn001UVFRAPz8/G6KvDlSVXExdexIAL37rnyDbdsIoLp1KSdHdC0KBGvp0qUAHnroocLCwqqfTTXFxcXSBdbcuXO1rkUha9cSQH5+8s8RCgqoaVMCKCpKhVqqGqzLly97eXkB+OabbxQpSE0//fSTwWCoWbPmGVu/OO4jubnUoAEBtH27fIM5cwigRx+loiIVyqlqsMaMGQOgf//+ilSjviFDhgAYPny41oVU2cSJBFDXriR7O5KZSbVqEUA//KBOOVUK1i+//GIymZydndPS0pQqSGVnz551c3MzGAz79u3TupYqOH6cXFzIaKQjR+QbDB9OAA0ZolpFVQpWjx49AEyePFmpajQxe/ZsAIGBgTqZOlYZTz9NAI0dK3/055/JYCBXVzp9WrWKKh+sbdu2AahXr16O+FsMoQoKCh588EEAGzZs0LqWSvn6awLI05MuXpQ5WlxMjz9OAM2erWZRlQxWQUFB06ZNAaxbt07ZgjSxadMmAPXr188tO2Src4WF5O9PAL3/vnyD9esJIF9fys9Xs65KBmvOnDkAHn300SJVbjFEs1qt0ijQ9OnTta6lYmLXrMl95BHy9yezWeZwXh41bEgAbdqkcmGVCVZmZmatWrUA/KDWLYYKjh49ajQaXVxcMgSPdSjoypUrXl5eRoPh9/h4+RbTpxNAnTrJ3yqKVJlgDRs2DMDQoUMVr0ZbI0eOBBASEqJ1IeUVFhYGIDg4WP7wyZPk6koGQ+npyKqocLB+/vln6aHiaRVvMdRx6dIlT09PAPG2vgD05NdffzWZTE5OTseOHZNvERJCAI0cqW5dd1QsWMXFxY8//jiA2ereYqhmwYIFANq0aWOxWLSuxYEnn3wSwMSJE2WPFu7dSwC5u9OFCyoXJqlYsKQ5er6+vvnq3mKoxmw2t2rVCsCqVau0rsWe7du3A/Dx8cnOzi571GKxdGjf/pPu3Qu0m4FdgWDduHGjYcOGADapfouhpp07dwLw9vbOysrSuhZ5t27dkp71rF27VraBtF9G8+bNNVx5UIFgTZs2DUDnzp3/gZPj7tW7d28AEyZM0LoQeXPnzgXQvn172Wc9165dq1OnDoCdO3eqX1uJ8gbr5MmTNWrUMBqNh7S4xVDZn3/+6eTkZDKZfv/9d61rKa3kWc/evXtlG0yYMAFAr1691K2rtPIGKyQkBMBIjW4x1Pfaa68BeOqpp7QupLQXX3wRQGhoqOzRlJQUZ2dnk8n022+/qVxYKeUK1nfffQfA3d39/PnzogvSiezsbGlfmtjYWK1r+VtiYqLBYHB1dT116pRsgz59+gB4/fXXVS6sLMfBKioqeuSRRwAsWLBAhYL044MPPgDQokULnSybtlqt0rOeWbNmyTaIjY2VbjuuXr2qcm1lOQ7WypUrNb/F0ITFYpH+j1q0aJHWtRARbdiwQXrWk5eXV/ao2Wxu3bo1gA8//FD92spyEKySW4wvvvhCnYJ0Zc+ePQA8PDwuaPSYsUReXl6jRo0AfPrpp7INFi1aBODhhx/WycoDB8HSyS2Ghp555hkAr776qrZlvP322wA6deok+6zn8uXLtWvXBvDtt9+qX5sse8HSzy2Ghk6cOCE9Z0lKStKqhpMnT0ob2R08eFC2wahRowA8++yzKhdmh71g6ecWQ1tTpkzR9slwdnb2G2+8MWrUKNmjycnJ0oSf9PR0lQuzw+beDbGxsSEhId7e3hkZGdJlVrWVl5fn7+9/8eLFhQsXSjsJaIKIDAYDAD8/P29v75LPe/TosW/fvilTpixevFir2mTYSlxUVFSNGjX+OYs5q2b58uXOzs5a/1vdMXXq1JJVnNL2KvXq1bt+/bq2P6JSbO7znpaWZjab06WN5224fft2bm5u/fr1lf/hqevq1au1atVyc3Oz1SA1NdVisfj4+Pj6+qpZWFn5+fmLFy/evHlzWlqa0WiULurfe+896eJdR2wl7syZM9KCO1s7Hx8+fLh58+b9+vUTFnr1DBkyxM/P74CNTRMdT6lTUcmUuMjIyC+//NJoNOpz4Zq9i/eZM2fC9l7t9/Xi+rs5XGhvf0qd+u6exHv48OEjthapaspesG7evCktuIuOjpZtcJ9uB3K34uLijh07wvbWIPan1GlF/8sOHDwg3bhxI2wvuCssLJQ2MFq2bJmY8oRbu3YtbG9m5HBKnVb0v1DKQbCsVmvXrl0BzLDx5oK4uDgAnp6el+7eUvw+UbL92nYbO7S8++67ANq2bavDKfA6X9rpeBD6yJEj9hfc3V+bRN7N/oaRmZmZ7u7uABISEtSvzSGdL0Yv13ysESNGABg8eLDs0dTUVGdnZ6PRqM+rSFuOHz8ujdUcPnxYtoH9KXV6sHXrVuh1+4xyBcvhgruIiAgA3bp1u4+mw/fr1w9AWFiY7FGHU+p0Qrcb/pR3avL8+fNhe8FdTk5O3bp1AXz++eeKlieK9AYDT0/Pi3I7tDicUqcfut2irLzBMpvNLVu2BLB69WrZBmvWrLFze6UrJS8+ed/GDi3R0dGwPaVOb0aPHg1gwIABWhdyjwos/4qJiZGe6MguuNP565nuZv9VTSVT6jZu3Kh+bZVQMhlLV0+qK7YSWnpPaXh4uOzR/fv3GwwGNzc3Pe8VW/Jyua+//lq2gf0pdfq0ZMkSvT2prliwHL6nVHo300svvaREbUJI7xu39TpMh1Pq9EmHW+1XeLeZ8ePHw/aCO4dD19pyOJw8aNAgAC+//LK6dSmg5OUgeliiQ5UIVsmCu127dsk2sD90rS37w8nSu2Hv3+WTffr06dDhqWnTTmtdCFHlNl5bvnw5bC+4czh0rRX7w8lFRUXt2rUDMH/+fPVrU0RKyg1nZzKZSA9LFCoTLIvFEhAQAGDJkiWyDewPXWvC4XDyRx99BB2/G7acwsMJIEdvjFRDJTe33b17N2wvuHM4dK0++8PJJcsnd+zYoX5tCrp2jerUIYBiYjSupPL7vA8YMADA6NGjZY86HLpWk8Ph5DfffBPleDfsfWH1agKoWTPS9pu38sEqWXBnaxDX/tC1mu6XHVoUUVRE7doRQNpeK1bplSeTJ08G0KVLF9lniTrZK9bhcHLfvn0BjB8/XuXCxPn++zv7j2p4d1ulYN24cUOaKLd161bZBvaHrlXgcDj5q6++gm52aFHQ4MEE0IgRmhVQ1dfKrVu3DkDjxo1lt7st2SvW1tC1aPaHk0t2aFmxYoX6tQl16tSdPd61GkGoarBK3lM6Z84c2QY7duywM3QtlMMdWqQhNv3s0KKsGTMIoI4dSZMH1Qq8uvfAgQPSaqS//vpLtoH9oWtx7rsdWpSVl0eNGhFAmszSUOYt9kOHDgUwbNgw2aMOh65FcDicrM9pTMqKjiaAGjQg9R9UKxMsh+8ptT90LYL94eTk5GSTyeTi4qK3iZfKslrp3/8mgGbOVLtrZYJFRJGRkQA6dOggO/Z89erVOnXqjB8/Xp2rmaKiooiICG9vb1vDyU888QSAt956S4VitJWYSAYD1ahBx4+r2q9iwSooKGjSpAmA9evXyzZQf9zQVo8li1v0tkOLIC+9RAA995yqnSoWLCL67LPPpLFnPf+DlSzH+/jjj7WuRSWZmeTuTgCpuT5SyWBZrdbu3bsDmDZtmoKnVdY777yj5wXEgsybR717k5rXk0oGi+56T6muti0sce7cOZ1veSBIcTElJdHu3VR2I4SjR+m774iITp2ihAQqO1ft5k1KSKDU1Ir1qHCwiOiVV14BMHDgQMXPXHUvvPACgOeff17rQjTQqRMBVPZtrMHB5OJCRDRvHgG0e3fpBqmpBFBFd1AwQmkLFiyoXbt2bGxsfHy84ievisTExK1bt9asWXPhwoVa16KZ3buxZYsaHSkfrPr160uPvCdNmmSxWBQ/f+VYrdaIiAgimjJlinTxXg01aoTAQEyciOvXhfelfLAATJw4sVWrVikpKVFRUSLOXwnR0dFJSUm+vr5Tp07VuhbNGI1YuBCXL2PmTPF9iTipi4uLtDV0ZGRkVlaWiC4qJC8vb9asWQAWL14sXbxXW8HBGDgQa9ciMVFsRzZ3Ta6ikJCQoKCgPXv2BAQESCuPNZSTk3Pp0qUuXbpIF+/V3LJlSEjA668jKQlOZf79X3sNHh73fGI2V6YXUcECsGLFiri4uOnTp1++fFlcL+U0f/78vn37ShvwV3PNm+PttxEZiY8+Qnh46aO+vii1vXpeHv78s8K9CAxW27ZtW7RoIb3kSHNNmza1s417dTNtGj77DJGReP750odmzkRQ0D2fpKXhm28q3IXAYAFwdXVt06aN0C5YJbi44MMP0acP5swR1YXYYDHd6t0bQ4bgP/+Bn5+Q83Owqq8PPkB8PE6fhotLef+T5GTExcFoRL9+CAy011LI4wZ2X2jYELNnV6D9p5/imWdgMqGwED164H//s9eYv7Gqi4EDZR64h4fj/HkUFgJAYCDCwtC4cek23t4IC0P37mjUCPHxCAgAgPx8/Pe/6NvXZnc231fImB1z5+LXX7Fzp80G/KuQVVhxMWJi7H1dgYPFKmHKFHh44NVX7bXhayxWAYWFiIhAUhL27IHJZK8lf2Ox8jp/Hj174to1/PgjvLwcNOaLd1ZenTvj4EF4eUEaca1bF3Ze7MzBYkLwr0ImBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCcHBYkJwsJgQHCwmBAeLCfF/z9YYrssGpv8AAAC4elRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAE4obmBkZ8gA0syMTGwMGiAGCweEZmJzgPDZHMAKmBmJYXAzMCowMmkwMTIrMLNkMLGwJrCyZTCxsSewc2QwcTAniDCyMXOws7GyiJcBNTDCnRMaqurw0G3ZfhBn9apX9pZ9yaogNlTcHiK+ys6y7/FiiPjVfTD1oaFf9yP0ah1gjjBXRRK3R1IPZosBAPiHMSX3DKKjAAAA9npUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nIVSW2rEMAz89ynmAmvkR5zoc5MspZR1oE17h/7v/amUJVVCwdVYYFuTsR5xUHuf374f+LU4OwdQYzEzvhIRuTt0g/H28loxrddxv5mWz7p+gAWkODOv63LfbwIqou+GJIZL8JGZ0gDytJl9GjEh+I2XDuE/vITFBBt6WfTIp6fepSHYCVHiOZRS+maKRZnB8//MXpnRl7IxG48PJ8mGIp+ybBBvdT4N4DmScamzjUQRrfGKZP2VGLK1UdFZs+SAYh3J4r2VncUHKy6Ls5WQ1Y+JHtPS8/6Pyd79APJMg7vz4LWqAAAAc3pUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nPNz1rD110w2TAYBQ4UaDSM9UwtjY2MdXUM9I0tLAxMda0M9kICxjoGONUwSLmegZ2wMk9Q10DMxNDMzM0fSC2RZGqIJGemZgVUZIEkjZOGGwIQ0awBX7SIcuscQngAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>0.975297</td>\n",
+       "      <td>[AP_3, SE_14]</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>0.999660</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2563,7 +2295,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/notebooks/custom_kinfraglib/2_2_custom_filters_analysis.ipynb b/notebooks/custom_kinfraglib/2_2_custom_filters_analysis.ipynb
index cfcd4a5f..ec4246f4 100644
--- a/notebooks/custom_kinfraglib/2_2_custom_filters_analysis.ipynb
+++ b/notebooks/custom_kinfraglib/2_2_custom_filters_analysis.ipynb
@@ -105,7 +105,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 57,
    "id": "561155b8-c69d-4803-b912-f9413ac169d4",
    "metadata": {
     "tags": []
@@ -124,10 +124,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 58,
    "id": "a844e20f-7c9d-4a87-9aae-4b359f1f51bb",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The autoreload extension is already loaded. To reload it, use:\n",
+      "  %reload_ext autoreload\n"
+     ]
+    }
+   ],
    "source": [
     "%load_ext autoreload\n",
     "%autoreload 2"
@@ -135,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 59,
    "id": "5886162f-9900-4c10-acce-48abbc1a1648",
    "metadata": {},
    "outputs": [],
@@ -162,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 60,
    "id": "f05f3c5e-ce51-4bce-acc7-f419e14efb68",
    "metadata": {},
    "outputs": [],
@@ -210,17 +219,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 61,
    "id": "f8f7a5f6-ac62-456c-9c11-57e96e229cb5",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(2859, 18)"
+       "(3505, 18)"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -233,7 +242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 62,
    "id": "7bd72387-fb7b-432e-8fee-ffc1ae233068",
    "metadata": {},
    "outputs": [
@@ -283,15 +292,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -304,9 +313,9 @@
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
@@ -315,7 +324,7 @@
        "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -324,65 +333,65 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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jh0DAG1tbeVjx8vLy01MTLp06cK1XLhwAQCGDh1a1y1KCUsikdjY2ADASrl9m+zsbPw+cY/8SxBClJWV4ZdfJ0+e5BrxinXIkCHEzTWIH3+8iHerRSIR14irL1N1iBs3bgSAjz766L///S/XmJycjF/RENm4xnmmDAwMuJZTp04BwFdffVXXLcqeK1ToEI8fP47H8eLFCyX7r8GePXvwHCk/XWnImQ6ZTIZPK3l6enKNnENUPvBQIZcvX9bS0uLxeP/+97+5xry8PLxv7uHhQcTK69evsUvlWnAoztSpU+u6hUDuBoXnRbFDdHNzI+gQuenqxIkTXKNGnel49OgRjnaSfy67du0an8/X0dF59uwZWXMvXrzAsXHyHkMmk40YMQLvxRQXFxMx9OTJEwDo1KkT14IXJF5eXnXdQkBYClepnEPcu3ev8iYw+/btw3sc3HTFnenQnCBp7Jjatm2bJ/eIGBAQID+jEKGkpASnIhsyZIh8GMLy5csB4OOPPyaYCCQ5ORkAevbsybXgoJJ6EiSRSWMUHx+PHaL8KjUiIoKgQ6yoqMDyjYiI4BpxqkgXFxfl+ycF5xBnzZpF1dDMmTMBwMrKSv7dcHR0NI/HEwgEMTExBG0lJCQAgKOjI9eydu3aGm9fakAsa7LC86Ljxo0j5RD3798PAF26dOF+O4uKirAjuHr1qpKdk4VziOfPn6dkYufOnQAgFArv3LnDNaampuKkRZtJH3rEyWrk1xv47VlQUFBdtxATlkKHmJWVhR3ivn37lOz/5s2bbm5u8m/mce2TerZS1AiOiGzbtm1+fr6SXUml0jdv3qSkpCQmJp4/fz4iImLJkiXa2toAcOzYMe6yoqIivGU9duxY4hs9p0+frhEzgp92Q0ND67qFZJ53hds2eDelX79+ZP+13JmOy5cvE+yWFDKZzNnZGQBmz55d+2+Li4szMjIePHgQFxd35syZgwcPhoaGBgQEeHt7e3h4uLu7Ozs7d+vWzdzcHD/w1sbExKTG80pmZqaTk1OPHj3EYjHxfw7+IU6aNIlrweHz9SygCRcQULhtc+jQIeIZ94KDg7FeyXZLkIcPH+rp6fF4vP79+w8cOLBnz57t2rXjYpveH11dXVNTU1tbW0dHx+HDh0+aNAkHHLds2bLG8ry0tJT4DjsGPzbJb6NMnjwZAI4ePVrXLYRr6axfv/7cuXPJycnr16/H+5YA4OHhQdaKRCLBTyV4r0EzsbOzc3JySk1NrX36sq46QrURCoUKJ60pU6ZERER4enpevnyZiyTW0dHBgdrEkUgkACCf0xu31Hcskbi6r1+/jh2i/LqSLPiRXqPOdNQGn+kAgC1btvzxxx/37t1LT08ncgAGIYRzuAPAzp07iXRYP3g5u2zZMq5l8ODBAPD777/XdQt5YaG/zov26tWLRhY5iUSCHwjIPlETZ+nSpQAwatQoSv3jBbVqIsL9/f0BYM2aNVyLk5MTAMTHx9d1C5VqpRs2bLhw4QJ2iKtWrXqfW+qqi1m7dubbt28lEomjoyMuUKuZ5Obm7tq1CwDwj4QGo0aNmjhx4okTJ2bPni3vEGlQ2/G90xVSEZa+vv7evXtdXV3Xrl1rYWHRpk2bGsVzalTUqaeWjkJWr16N3+drLJs3by4qKnJ3d6dakSUsLOzatWtXr14NDw//5z//Sc9QcXEx/H2NVbulBrTqK7u4uEyZMiUqKgrH8L+Td65n5WtnmpmZ8fmaWyY9NzcXb2DiKDF6GBsbh4eHjxkzxtfXd8iQIfIHtsiiKTMWpqKiori4uH379r17965RPKdGRZ2G1tLRcHDi+y+++EIFie9Hjx799ddfR0ZGenl5Xbp0iZJDxPOTvIzeOWNRWbwjhJ48eaKlpaWtrU38lb6Gk5ubi8/03bhxQzUWs7KyTExMdHRaHj78iJIJnLdN/g0V3vqv5+GMlkNZs2ZNRUXFzJkzuZwTzYSQkJDCwsLhw4c7ODioxqKJicnu3cc7dMieM6erXCVuktRwfGVlZeXl5dra2lheiqEh8LS0NDxdqb6Ei3pRY5D0hAkIALm6IhoB4Th/HfemDieHMjQ0rOcWKsKaPn061PGarGmzZcuLLl3G1hMJTo/sbNSmDQJANE5IvXz58v79+1zY4KtXrwDAwsKinlvIC6vZTlf5+cjQEPH5KDFR2YiGxnH8OAJABgaIdEB4TVJTUwFA/mxFbcivsYKCgioqKqZNm4bDiJsP27aBSASuruDoaKiWAUycCOPHQ2EhzJwJ5ErIK6D2Q6ICyGr5+fPnOjo6AoGgcUmVPlwKCpCREQJA6s17zzlECiekqrl06RK8K7SEsLBwmM6MGTPIdqv5rFlTtXZWOxERtBzi06dPw8PD3d3ddXV1LS0tlyxZUs/FJIWVnp6up6enpaX15MkTgt1qPgUFqHVrBIA05EjH+PEIALm5EXhCzMvLO3nypKenJ04AgeHz+e98QCEprCVLlvTt27cZVv8ODEQASHOOdHAOsXEB4TIZunkThYS86tevn0Ag4PRkZmY2bdq0Y8eOvU+GLWLCysjIaN++vaWlpYrz+qmdoiJkYoIAkEYd6Th2DFlZoQaFbWdlochI5OWFzM0RADI0rBQIdAQCQZ8+fQICAm7fvt2g4HJiwvLz8zM3N583bx6pDj8U1q1DAEgDj3RIJOibb5DcYTk0Zw7CuVpCQqpaSkvRlSvIzw/16oV4vOriCR07ou+/R2fPxjU6MpGMsDIyMjp06GBpadncVldicdV0pZFHOpC+Pvr4Y5SZWfWxQwd04wa6exd9+SW6exe9eoVataoWU4sW6Msv0fbtKDWVgGky0Q1hYWFlZWVfffUVLpDUfDhwALKzoX9/cHVV91DqYPx48PGBiIiqj+Xl8OQJiERw/z707Qt2dpCVBYMHg7s7DBkCddSFaRTKa/PNmzfW1tZt27ZNSUlRvrcPi/Jy9PPPSK0VsetDXx+lpaH27RGO4u7QoSoH/aJFVRcQyu2gAAI779u3b5dKpSNHjsRFrZs2Dx4AjwfbtlV9zMmBWbNArRWx34G+PmzdCnPnglRa3bhlS9U3f9VrIo+ywsrKyoqIiODxePhEYXOgVSsIDoaMDHWP470ZNw46d4aQEJUaVVZYYWFhUqnU3d0d5xZvDrRqBd99BwsWqHscDWHHDggJgcJC1VlUSlhZWVlHjx7l8Xg4RVbzYelSuH0bfvtN3eN4bzp3hjlzID9fdRaVeiqUyWRffPFFeXl585muMPr6sG0beHtXVTDUBBISoEsXMDGpbsnPBx8f4M70L1sG+vrQtq2qBtS4NX9ycjIXAc2lQWsO3L+P2rev+t7dHXl7Iy0ttQ4IIYSQVIosLVGLFkguCylavhxpa6MdO9QzpPpmrNTU1AMHDgiFQm9v79LS0l27duno6CxYsODQoUNCoTA3Nzc5OdnPz0+TT2JRZft2sLdX9yAAAOCnn+DVK+jdGzjPkZcHYWFQXg40zzXWSz2ii4iIEIvFv/7668aNG6dNm/b8+fPExMSVK1dmZmZ6e3vjFpX9BmgI8jMWQmjNmjpnLJWVqyorQx06IAB06lR1o78/AkDDh6toDLWpb7KZNGnSgwcPrl+/PmjQIKlUamxsbGNjc//+/YKCAhMTE2dn5xeUDoVoMHZ2cO9e9cflyyEzEzZtgufP/3bZb79B374qWiz/9BO8eAHdu8Po0VUtBQUQFgYAsGKFKgagmPp1d//+/c2bNx84cODu3buLFy/esGHDhAkTEEKVlZVqKamqgaxYUTP4qbISOTvXLGVIibIyZGWFAJB87txVqxAAUseRjmrqE9a9e/cQQmlpaT4+Prjl999/J57f8kMnOxuZmiIAJJ+pX2EpQxqEhyMA1L074p6gRKKqIGn15r2vT1inT5/29fX18fF59uxZVFTUwoUL165dSyp1eFMiOroqOkC+gJDCUoZkKStD1tYIAEVGVjeuXo0A0ODBtIy+J7SO2Dc3ap8XVVjKkCx791aVoOamKw0504GYsEjBOUT5ErMKSxmSoqwMdeyIAP4Wyqc5ZzqYsIhx4kSdDrFnz7L8fFHdtzaG/ftrTldFRcjYWFPOdDBhkaS2Q6yoQB4eT1u3tvmWqEesrKyqDiyftjgoSIOCpJmwSKIwgUJqamrtyk3Kc/8+WrAAcUV0uCDpK1cIGmk8TFiEwQ7RwAClp1cXkd+0aRMAWFhY5FF7RFy/HgEgzcl7z4RFnhkzih0c1g8dOpTbQ1ZYypAgYnHVTHnp0rsvVg1MWORRWFJPYSlDUmzYgACQRuW9Z8KigsKSegQrN8lTWlq106FRee+ZsGhRu6ReRUWFg4ODhYUF8ZodSUnIz49sl8rChEULhSX1nj17RmT9Pno06twZlZRUffT0RMHByvdKkmYao6cCTExMQkNDAWDRokXp6em40crKqq5KcQ2lsBCCg4n0RAUmLIpMnjx53LhxhYWF+GGQbOeLF8POnfD4MdleiUGxgAADAHbt2hUbG3vp0qUDBw7gKs7vQ2kp5OeDSKTgKz+/6nysuTn4+sKcOXDpEsXxNxomLLqYmJiEhIR88803ixYtsrGxEQqFuOZU7YJC+Bt9/aSHD/VKSurrk5v7fHzg4MHqvAwaBRMWdaZOnXry5MmYmJgBAwa88+Lu3WUlJaCrC4aGYGQEhoY1v4yM4JNPqlZXOjqwcydMn66JZ/yZsFTB7t27k5OT586di2sH1a4pxLUYGQlatWpASoVBg2DAADh1Cnr1ovkPaDhMWKrAzMzMzMwsLS2NRudbt8K5czQ6Vgoe8acVhgp48wZatoSWLas/6umBoXrSyyuGCYtBBbaPxaACExaDCkxYDCowYTGowITFoAITFoMKTFgMKjBhMajAhMWgAhMWgwpMWAwqMGExqMCExaACExaDCkxYDCowYTGowITFoAITFoMKTFgMKjBhMajAhMWgAhMWgwpMWAwqMGExqMCExaACExaDCkxYDCowYTGowITFoAITFoMKTFgMKjBhMajAhMWgAhMWgwr/BzVHddlOW4wgAAABonpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQABhIBYF4gZGNgYNIM3MwsaQAaKZkQRgdAKQZmJCUgBjOOBhQDXDBNghpjHDaQUtIM0IUgFRCZNgMNBgBMmApCU5gIRjSX6uX2lOjoYMgzZMUh2bJDcDkwozA48KC4OAFhMTEw8/I48GEyOvAhOzBhMTnwIzCwMzqwIrmwYTG58CO0cGEzt3Agd/AidXAid/BhMXdwYTL58GE7+ACjOLIAOXEIMIMxsjLx8TAw8rMxMfGysbOzcXJz+H+DuQ/fBgzFn31m5i+4p9IM7W9wr2NUzWB0Bsfs7f9vev54PFDWQsHR5KFNqD2CH28g5Td0o4gNgTejsdrG9dswOxNSe2O0TLd+0HsR3k2g6U+fwFqz+eq3Ng/U4WsPrlzxUPZN5nAasxuN1wwEpXFsxOL5h94GOfElj97+d++x6pXQOLL+ficOB4bwJ2z9d1Rg6CN/eCxTe3vds/SSsYrP7vkt37kiuyweyCxCQHichYsF3hutMOzJ79C6xeDACAS2RyKB5KUwAAAhh6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VLuOGzEM7P0VqgNYEB+iyMKFH4dLkNgGYt+1QXBFckVS5f8Rchf2yogQ7RYSdzgiOeTqj19v395+fn//vV2lWF8Pn9//pPvCw8rt5T+vmaVXKqWsjik2aff0/OmU9tft7mbZn19O10sCSwju488jdns9H28WSPtUMgujY9clExpUc1OZ1uKKE1BQpWpaYzbEgm0AJAdCNgEEDkYk58YBkB2IWc0B1T8bQ1MZ4OqEY1VkDyOTCg0vFsdxRtNKEDmBCfEA12YcCbeS1pBLs6KjANWBa85gAEaRU1O1UYQWQMxijCVCLI2UaACEMiMrWpOpOhWsDKMEmG8vKK22gAqQNRhBcYZqbTwBPG+zISml06RJwRKkkKVRkVHyLt7JUwGsUkvErNiKjjoD6oRsBoYanKwE2iuU9h+fN5Bet182fPcKuRzsavIku8uroiP+NgdNImxRVb9Iy0gH0PQhUa7UwJpvuGqVXod03F4uG8a7g7mDV06MCtUIx2rTxv+4kN1cnk6HhwGaR2p3Ph2WkYqHlsGZDLTMx2RpyxhgWGhpd4gzL22N7sNL9zq313xpUnCKurRiHKVrOHSG1nUVBEXteoedw7oOiTNg1wccrNLJzcEL0Ek5W6STjKe7sJMmkupvjlDddakERu08fb0bpsr5+1D9vtZxvv36fL/6C1/CAtIrkOwoAAABsXpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nGWSP4/bMAzFv0rH5Oqo4h9RZIIMRYCOQYaiS5ohNTwUvdiHa9rpPnxpZzmxHgzo/Ujq8UFnsqdLD71/q0/H/QG/+++4Px8/XuiwPxxWhzPj02XthNY9fHhbbTiJUaZuA8lK1drtXMooVbpNTgJkFRZNS+XauURsxosEBmCdN1Y1F9BHMXaYciUlFyDpXO1NiqyiLuVEImzkmoFplm6XEwsjwnwfoUGxpQ4z5lJnX1LpUSeoUrTziwzRPe8wARYps6JYs81K9bnLOqzk7nackISXQbla1kUxLbMFBnODc5caUplNMVSVWWF1074M+Q5+FaVCFTtKXLR4gW8t8DCN5PZxCaCgPYIrYNknr7vrfbqdXqeXbU6///x4mfpfwz19OflxGP/+fJ3G2zDe03jdwjv++eTH9xxkiy3HhvOWWkwBc4s54NLiErC0WAKuLa4Ba4s1YGuxBQw5BJNjAaTb9Px1un+7Pg9jPzyktgdiT0gTYpwQ8oQYKIREIUYKIVOIoYK0LwLkvycRgoWYLIRoIWT79g81XjCrGPEvWwAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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hcuF3bvh7Fl49IjBVvCBUkYvDKPEJatOz549ra2t8/PzyYUaz6elM8ICAE9PCA2F4mIAAISA9hs8N2/efO7cOZyQAyceYgLafayioqKysjJeXbdAty3W1atXL1y4QC6pra3du3dvdna2ar2C2lpYuRKqqqB37zrJ1iIiYNAgaNcOQkJg4UIVG6nDpk2bVqxYweFwcL6hsLCwAwcO0NnAe2j3sRRqSOPCUmkdy8/Pb/To0eQSvJF56tQp1RZB0Ny5CAANHar43QcP3qWg+eEHFdt5Bz7fZ2BgcOjQIYTQ9u3b8UtlUg41lSlTpgDASfrymeDVztq617/gsxW3bt2iq5Wmoo3C+v77dzmx7t5t8DNxccjQEAGgmBhVmkIIoe+++w7L6MiRI/JCfKbKyMjo3LlzqjZQF5zV49KlS7TUVlNTAwCGhoaUcg8PDwBIpSXPU7PQOmH99hvicJCBAfpo2v3DhxGHgzgcdOhQs1t7l6LDwMDg6NGjBEGsXr368uXL+K1vv/0WAExNTa9fv978BurRr18/APgv+cICFaioqAAAc3NzSnmXLl0A4O+//6allWagqrCGDx9eTiI3N1cVYV2//m6Me39j10fYvh0BIB4PnT3b5LYIgli8eDE2S6dPn0YI4Rt+zczM8AhCEMT8+fMBoH37fikp0o/Vpyz07nPjm+vs7e0p5ThkLzs7m5ZWmoGqwlLotzVPWI8fo9atEQBavrwJT61ahQCQqSk1z1Hj4FvBsKrk+YDkSrKwsLh//z5CSCaTBQX9q0OHaoGAmqCr2Tg5OQEAXbtyeJ7k4uJCKbezswMADeZnU1VYw4YNKyCRmZnZPGEVFr677mbqVCSTNeFBgniXfsjCQtnMkQRBLFiwAACMjY0TEhLIb0ml0unTpwOAjY0NNipS6bvsgXZ26MmTJnSsIfB8sKEMRLIm/ecR+vvvvwGga9euClt58+ZNM3upMoz4WMePH1++fLnyX8rKysoRI6b27FnWty+qrGxyN6RS9OWXCAD5+NzJ/NgVlzKZbO7cuQDQqlUruTtFpqamxsfHBwAGDJiXlYUQQtXVaOxYBIDatUOqXEP5+PFjPz8/U1NTJycnypWZCKHy8vKFCxfOnj27SXWmpKQAgKenJ6Vc4VRRnTAirHnz5uFRJigoiJJFsz5SqRT/Ibt393z9upmuTHU1Cgm5BgDOzs55eXmNtDV79mysqkZiY8Risb//j9bWsvbtEa6sshINHowAkKsrKixscvcyMzOnT5+OUyDjP/mYMWMon8nOzsZHG5o0YcQhe15eXuTChqaK6oQRYf30009BQUEGBgYA0Lp16+jo6KqqqoYqCQsLAwCBQPBRY9M4VVVVgwcPBgBXV9eioqL6H5BKpTNnzsTueVJSUuO1VVaiQYPqKKm8HPXujQCQm1sTwlZzcgrmzp2LxWRiYrJ48eKMjAwbGxsAOHr0KOXDeDnN2dlZJBIpWf/ly5cBYOTIkeTChqaK6kQlYX377beUBMAikahnz57YGKSnp2NTBABOTk5CoZB81zxm06ZN+DdOy1JeeXk5Xr/p1asXxYmpra3FS+qWlpZKTvXLy5GnJwJA7u7vlPTqFerSBQGgUaM+/virV2jlStShQ62xsQWPx5s1a9bz58/xWwcPHsTfJYpzXVtbi6+qX7ZsmXL/YxQfHw8An3/+ObkQTxXt7OyUrIQJGI8gTUxM9Hx/z27Xrl1PnDghf+vkyZNcLpfD4Rw7doyu5l6+fIlD2Ly9vcXvc8NXV1dPmjQJAKysrO42suqqoDb06acIAHl5IfylePECeXqiU6cQAOrdG5G/Kd7eKDAQIYRev0bLliFTUwSADAzQypVXs7CzRgIvk86aNYtS/vDhQ0NDQwMDg5SUFGV6iI/lfPnll+TChqaK6kQdockEQZw4caJjx45YXgMGDLh58+a9e/fw3vvmzZvpbe6ff/7BUbm+vr61tbXV1dUTJ07Eg/K9e/eaWlteHurUqU4GVIJAWVkIABka1llv8/ZGX3+N1q5F5uYIAHE4yM8PNbRC2YhHtWzZMgBwd3enpB5VyKFDhwBgzpw55MKGporqRH0x7xKJJCYmRiAQAACHw8F3G3/zzTdMtJWeno4b+uqrryZMmAAAtra2Dx8+bF5t77MVfwALKyQEWVh8uNnA2xtNn46MjBAAGjkSfdTiNORRVVZW4i/hxo0bP9o3HIVBcUgamiqqE3UfphCJRNHR0WZmZq6urm5ubszNh+/cuSM/P25vb59G1/omQui9sO7fR717I/kohIfC2Fik5G6N3KNaXm9F+OrVqxwOx9TUtP6qBIUtW7YAwNKlS8mFCqeKakYzp3T2798PDJ9UQQgdOnTIxsbGxcWF9i0zLKzUVJScjDicdyeI5D6W8jTiUeEJ7LBhw8j53+sTEREBAGvWrCEXKpwqqhnNBPrhGxnu3r3LaBCwra1tcXFx586du3btylATQ4bAzJkQFgbNS9TYs2fPhQsXymSygIAAyv2r27Zts7Ozu379+uHDhxupQUuDsTQVQWphYdGnT5+ampobN26Qy589ezZixIgxY8bQ0gq+dbJDhw601NYQmzdDSQls3drMxyMiIjp06PDXX39RUlsJBIJ///vfALBs2bKXL1829HgjwtLsdawaC03Gae+vXr1KLrS1tb1x48b169ebaslwWCYFPOtuJFs6LdjbQ2QkbNgAr1835/FWrVrt27ePw+GsW7eOktpq5syZPj4+paWlS5Ysaehx1mJRGTFiBADgG2nlWFlZYUuG3U8lQQg5ODi0bt26qm6m26ysLGDeYgFAaCh06QLp6c18fPjw4f7+/mKxeP78+ahuJH9sbCyfz//tt9/++OMPhc+ywqIyYMAAPp+fnp5eWFhILldoyRqnsLCwqqqKx+NRjD8eCuXrZ8zB5cKuXcBV4Xcp96iOHDlCLnd2dl6/fj0AhIWFKTyfvWnTpgcPHvj6+pIL8RdMs8LSZO6G8ePHQ70tM5zawN3dXfl6sHnr168fpRwfEmTiiiyJBKWkUAMx0tNVin3AkrK2tqbs80il0j59+gDAokWLlKxK4VRRzWjy+BceDSnGaeDAgXw+Py0tDW94KYNCJ72oqOjt27cCgcDKyoqm/n7A2Jh6fAgAuncHVTItzpo1a8yYMfU9KgMDgwMHDvB4vJ07d965c0eZqlr0UAgAeL8ML7rIMTIyGjx4MEIoKSlJyXoUCks9U0J6EQqFfD7/119/pXhU7u7uS5cuJQgiODiYsiqhkJYurB49ejg4OOTn51My2Su0ZI2gN8Iie1SUefG6deu6des2ZcoU9LFzuhkZGfhXx2jOnI+jwWEYIeTv7w8AO3fuJBc+fPgQAJycnJSsBN8Kee3aNXIh/gutXr2arq6qB6lU2rt3bwBYvHgx5a3G96TFYvGJEydGjhyJ08tYWlq2b99eg1ewalhYODJp4sSJ5EKCINq0aQMAT5QLMndwcIB6xxNwpOi+ffvo7K5aePToEY/H43K5SsaNpaSkhISEWFpaYkthaWk5f/787t27A8CoUaPqx8CpBw0L68WLFwBgbm5O+TrioLzY2NiP1lBVVcXhcIyMjCi/QRxNevXqVZp7rBZWrFgBAG5ubo1YqYqKCqFQKI91A4DevXsLhUIcK5Gbm2trawsA//rXv9TY8Q9oPlUkPlpJ+XbivAmTJk366OPp6ekA0LlzZ0p527ZtQaMH61RBfiH5jz/+WP/dlJSUoKAgeeyGlZVVUFDQo0ePKB9LSkoyNDTkcDg0HudXHs0LC8e8/1A3DUNeXh7+lX00rgbH5o4bN45cKBaLuVwuj8fT1ECgOvh2CWNj44yMDFxSWlpKuYrcy8tLKBQ2cp4A7zbihWh1dfwdmhdWXFwcKAqhwRHGd+7cafzxrVu3AsCCBQvIhY8fPwYAV1dXmvuqXubMmQMAQ4cOvXz58qxZs+TLBw4ODitXrqwf7qwQ7Gt27ty5vLyc6Q6T0byw3rx5w+PxjIyMKIGU+ExpRERE44/jA81btmwhF+J1oPpHrHSL4uJiOzs7eRJRQ0NDX1/fP/74o0lmuKqqCk8zfX19m3oaVhU0n3jN3NxcYQgNXs26cuVK44/rzSJWfQQCwVdffSUQCCwtLbGJio+P9/HxwefqlMTU1PT06dM2NjYJCQmRkZHM9ZaC5oUF7zeeKRry9vY2NDS8c+dO4yE0OISBstOsnoAZNWBjY1NcXBweHo5vJGxeJc7Ozr///ruBgcH3339/9uxZenvYENorLGVCaBBCOTk5UE9DCtWmi5SVlQEAvsJEFUaMGBEVFUUQREBAgOr5FpVBK4TVv3//5oXQFBQUiMViOzs7SuZF/RgKAaC0tBToEBYArFixYt68eT169AgICKDxUvGG0AphGRkZ4VkhZeNZYTAgGYUCQu9PbOqBsLDFsqbjlgQOh4NTYGZmZoaHhyPacwPXRSuEBQ246h8NoWkoYKaqqsrGxobpXOpqAFssWoQFAGZmZgcOHLCwsLh48eKuXbtoqbMhtEVYOISGYpxwCE337t0LCgoUPqXHU0IMjUMhpn379kKh0MDAIDo6WvnApGagLcJqKIQmLi4uLS2NvCNGRqGG1BbqrgZoHArlDB06dMmSJTj7HJ76MIG2CAtfWAX1RsPG72bGzr5Ci6UHU0KgeyiUs2TJEh8fn4qKinnz5lFOoNCFtggLGlh0aJwrV64UFxcPGDCAXKg3i1hisVgikZiYmOA8FzTC4XBiYmI6d+6ckZGxfPlyeivHaJGwsJuVlJSkTPStHIFAQLFqeuNjYXOFs5vQDp/Px458XFycUCikvX4tElbbtm27dOkiEolwspRmozc+Fu2eO4WOHTvu2LGDw+FERkYmyy9wpwntumF15MiRT548CQ8P9/b2trS0tLKysrKyovzQ+CKCWCwuKioyMjLCWa91GiY8dwqjR49etGjRtm3bwsLCbt++bWFhIZPJxGIxPjmnCtolLABwcnJKTU1NTU1t6ANcLtfS0rJ169YKZVdZWYkQcnFxadJOrXbCkOdOYfny5c+ePRs7diz+xv755587duygnJttBlokLJlMdvbs2RcvXixatMjR0bGiogLfdkH54e3bt2VlZfjbrBAbGxvVv3DaABND4enTp/GGdGho6NChQ69du7Znzx4ej+fg4CCRSGbPnj1t2jRLS8uNGzfa2dnhvOXNQ4uEFRcXl5OT4+rqGhMTw234vLpUKpVLraysjCK7kpKShISEBw8exMXFffHFF+rsP+3QbrFKS0vv37//888/V1RUjB079uLFi0uXLj19+rSRkZGfn9/58+dXrVp18ODBe/fu+fr64jTBzUaLhBUbGwsA4eHhjagKAAwNDQUCQSNzpd27dy9YsGDRokWjR4/WbCofFaErtEGOtbU1zk9ZUlJiZmaWn5/fpUsXPMv57LPPUlJSrK2tCwsLlyxZkpCQgDfZmo/aQgobJz09ncPhmJubqx5BK5PJcLKD9evX09I3TREaGgoAu3fvprfapUuXdu3a9cyZM2KxePDgwYcPHz548OBnn3124sSJzMzM1NRUqVSKb61SBW0RVlBQEACEhYXRUtvt27dxDk95anVdZOHChZaWlr/99hvtNVdUVPTt27e4uPjly5dHjx69dOlSYGBgcpOuufoYWiGssrIyMzMzDocjP5GiOrNmzQLlDpBpFWKxeOPGjZSctnfv3lXmiOVHkUgk+GpMmUw2aNAg+dm4oqKi/v37v337VvUm5GiFsHDqX8rtKSpSVFSEDwefP3+exmqZpri4GADi6t4CumHDBltbW9Urr6ioCAgImD59uo+PT3R0NEIoMDDQz89v/PjxN2/eVL1+MpoXFkEQnTt3BgDKDW+qs3nzZgBwdXWV1M/Urq0wKixMdXU1+bSm/P4OetH8ls65c+eePn3q7OyM87DRyOLFi93c3J49e4YjJ1kwRkZG+NIoDO073BjNC2vnzp0AEB4eTvtauaGhIT7OGhERkZ+fT2/ljPL69et/SOA71XQMJsyg8jx9+pTL5bZq1TgYXF0AAAX9SURBVKpE+ZvamsiUKVMAwN/fn6H66QUPhfWhcShUDxq2WDt37iQIYubMmcztiG3dutXMzOzYsWO0b+Azx8mTJ8UkcE5R3UKTwhKJRHizE5+mZ4h27drhrEBhYWFSqZS5hmiEx+OZkCC7RLqCJoWVlJQkEomGDBni7u7OaEMrV650dXVNT0//6aefGG2IRY5ahXX8+HEchYeZOHHilStXxo0bx3S7xsbGeKnsu+++e928CyRYmohahTVjxgzKsebs7OxVq1apoWlfX9/x48eXlZWtWbNGDc01Gx6PN2zYMJyMT46zs/OgQYM01aVmotaZApcrFArJJThzn3paf/bsmbGxMZfLbdLtvSzNQ/PrWGqjU6dO8vN0BEFoujt6jrqFhRAiSCCGMwhQWLt2rbOzc2pq6s8//6zOdlsgHHX+aQ0MDBSaCnX24ffff//qq6/s7OwyMzOZuA2FBaNuixUREfGUxIYNG9TcgenTp3t7e7969QrfMMDCEOoWlp2dnSsJOzs7NXcAAHbu3Mnj8WJjYx89eqT+1lsILch5l9O9e/fQ0FCZTIYDVmmp89mzZytXrqRc9Hr06NFDhw7RUr/O0RKFBQAREREODg63bt06fvw4LRU+f/5806ZNFGHFxcWdPHmSlvp1DrUKq1OnTvIrXzAWFhYaSQtjYWGBUwgvX768qfdPsyiDWoWVmZk5bdo0csnUqVMpN2yrjblz5/bv3z8/Pz8qKkojHdBvdG/bnC44HE5sbGzfvn1jYmLmzJmDL8JQkfT09FevXslflpeXN57fS49R6zqWFjJ//vz9+/ePGjWKctFrI5SXl+PAzpycHPxDbm7uunXrfHx8TE1N5RdJAEB1dfXo0aPPnz/PTN+1mpZrsTDR0dFnzpxJTExMSEig3AVfVlZWUFBQWFj4vC4K00aUlJQAwNOnT8lZbqZOncpQvjztp6ULSyAQrF+/Pjw8PDQ0NC0tLT8/H5uinJychjTB5/OdnZ1dXFzk/zo7O7PROBRa+lAIADKZDN+FhK2OHBMTE0dHxw4kHBwcHB0d27dvTx7vMJcuXRo7dmxeXl59i8UOhS2UwsJCiUQikUgmTJgwZswYFxcXbIf0IE28BmGFBVFRUWZmZgKBIC4urtnR5W3atJkyZQoluc2AAQOqq6vp6KPu0dKHwhs3bkyePLm0tDQ5ORlfI81CC/pvsWpqarZt2+bm5jZu3Ljc3NwjR45IJJJJkyZ5eHhERUVlZWVJpdKhQ4ey6+/0ov97hTt27Hj48OH169cJgvjmm2/69OnzxRdfhIaGFhQUtGnT5vz58yYmJv369XNwcNB0T/UKPbdYGRkZN27cWLBgQVJSEpfL/eOPP/CEzs3NLScnJz09nSCITz75xNHRsVevXprurF6hzxaLIIjVq1dHRUXJc09iVUkkkidPnrRp0+bIkSOVlZXbt2+vqKiQyWQa7ay+oc8W68CBAw4ODhYWFmlpaSKRSCQSmZub48MU8+bN++WXX8rLy8eOHevl5eXl5aXpzuob+iys6upqPp+/a9eu/Pz8Fy9ePH78uGvXrgsXLhw4cODUqVNdXFwAQMuPGeou+iyssLAw/ENiYuKVK1e6des2ZswYY2Nje3v7yZMnV1ZWDh8+XPcOguoILWId682bNyKRyM7OLiMjAwDEYrGvr29xcfHVq1eHDRum6d7pJ/psseRYWFjg/RmcfWTTpk2vXr0aOHAgqyrmaBEWi4xEIunQoUNhYeHly5fxRXYsTKDPyw0KOXv2bGFhYb9+/VhVMYqeD4X//PNPenr6hAkT5CVTp07du3evmZmZBnvVEtBzi3XhwoVJkyZRCvfs2XP79m2N9KfloOfCYtEUrLBYGIEVFgsj6LnzDgC1tbWUwE6JRDJgwABN9aeFoP/CMjQ0vHXrFrnE399fU51pOei/sDgcjqenJ7nE1NRUU51pObA+FgsjsMJiYQQ9F1arVq3s7e0phQKBgD0zyDQtbhOaRT3oucVi0RSssFgYgRUWCyOwwmJhBFZYLIzACouFEVhhsTACKywWRvh/RWvfnwUDP44AAAJgelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAABkglgPiBkY2Bg0gzcwCoxnBNCOGOBuDApCGS6Mrw8l3II+PLs4OMZcZTitogcQRCmESDAYajCAZkLQkB5BwLMnP9SvNydGQYdCGSapjk+RmYFZhZhBVYWGQ1GJiYhKVYGRiYBTVYGIUU2Bm0WBiFldgYWVg4VBgZWNgZWfg4GTg4NJg4uJm4BJX4OFl4OHLYOIRTuDjZ+CTSBAQZBAQShCQyGASEs5gEhZhEBPXYJKQVGFmlWIQkmYQYWZjFBMH2sXKwizOxcHGIywkIMEnHgV0G9h54BjilM6zzxea7ug9U83pivZT24fcyx3PL9N04t66zPbogvWO3lqaTjcai+0klk109Lig5bT9YoPtGt12x5AtOk4rTH3tLdKrHHVEtJ2YZp2wm/4/x/FVqK4Tt9tbe+aKGkdXCR2nf85R+5MWtjtuFDB0sg+fvf/C1QbHm37GTqpsM/fLvJ7oaP3B0OnC1Xf7oy9PcUz+b+LEdd3ZQf7LAsf4dnEnljA3h4n8Kx1duMWcwmrFHArXzHMM1JZxWlLw1j6YdamjQ7CcU/Ysa4dIth7HX3bSTpHi5g5Z95odS5bIOLF/yHJYF9HnGL9SzCn/Q67D19szHF1OizhNWNDhkLdllmONkaDTp0ux9v8OL3TMllJzOuIku/+04mLH2H26TqsSWPbvVp/hWCCv57SHVciBT3eKYxGXnFNs7ln7gviJjg9PKzndVTGzt/ErdbTLUHV69LLfIY2jzfGtnIiTGAAibqKR/Fb3YQAAAvZ6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VbtOXEEM7fmKqSMx8mseLigWFpEoYZECoY0iioQiqfL/ise+u3emCUuxY46PX8em//z99v3t14/3P4erNH6+Hj+//02XHz5emR3+86uq6ZUB4OoxjS/p9v7h0yndvRxuz5a7p2+nl+dEPdnDPyv28PL0eLZgukuQlQHBHj33LsadBHMVbTD5kiMRUc1KYEjoA0lZkHRGcvpoSOgoA4lZC5dAkiLPSHFO4tYjOkHFQDZgmZHFkVA9EtbctQ0m4YzNfS7I6sgOWAey5FqANs66VtQ8T1b06JI7kgQnMy8VdUNi7oVbcLamW3QgXjjVol9b+EI1ErXivU2SqdaleARjvcZMyBsWQSSwnRos2DEnw6KWsrWKdeOVLnXBUvD2WjSwFdhbUDKJLm1FNl6rwghiqjbeAeVm8yVaoGK0BlWFGCuy12jQgrhmO6ZFmYsrADV3FmfVDEJrE+rW2rIlUKnVgJa+igWbsyq7GS0s8Jg8m2oRywIdAyPrgEvUOiudN1aTxdot9Q7UBhqsNlqOsmotS7MIHNow5Gpc0CSgqH1JgNASGCPXGlDm7rlW2wFdyiJKpyFYixYdsLa3WMFCpS9QNqipq6JwYE28JYQoXBbJkgS2YMNIAVA3eRf2CFbOx4cbTK+HLzdy8YvZUY/96ZYEwTYQhEURVC2EHQqQTWcWajiJZai6LCW19MGKbDEn2yDmgOJQiReZHg/PzzdCF5duLqbuWHSbYSuC0W3gSCRcWM8u96fjctzi3N0+nY77uRufvVh/Eu2Xa1io7vfJXon3I0TjQ/upGX8m3g8KmUvZr4aFskHstwGNok77P9467TgaZZv2eLz7tKs4OOaNpGHAae/QaWhaL7fsSdgWoVPJtCziljLthFtolj46fZ0ULsNCZRIyOn2f9Cpu0UmVbpm8yrDoHMvbOiJM6hltnqqg0Vtz3UdF6t2iS/ti2kbcZ3nMYhjv8/9N+371D9x9bU3EZUYeAAACdHpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF2SPXMTQQyG/wplHI5FX6uVfJOCyQxDlUnB0AQXweOCIbEzwVDlxyNdKHJq1t731WmlR7pjv9ztcX9x92W3WZ8fb66u6Xscy/3m6u7m/Y5fL/+164v4FbrcbZbrq0O82WP8ffdyIU188ITaRheceDRgoJmbDvAJRxvOnLJql5AHDpvQG8KQlNGtz9JIXVNmtkiijdw5okEngobolLFmlJnBfSJsyKSpdsSZGneUTGAsEesNhHjGZr1nBqWhqXZDjmAyjNesdVpiO0bF2BTEU8URrsRH7jhDcwZM2UwmiajoN1SLfjIzEYyUO3Wbs1T0lM3AJqEmSB4yWFQXNXvnnjJ51PEhnkDhDGfH0LkJd0+9Rw3ZDaBL6p1hzB+iZ49+ohZij/TB3kRTN+1L6QpMk/RG4pJ5rAejmE28u8STKmc8IS86gkjqRtkTKHmqlhONV3FoAjBIWr1pB8rihy4EBkbNITMnLswJJIFoJQYcKZGW0pnZl0HwyOgR+5AyEGeSOG1pCBSX3MASA3JGzuXpwLEOwT7eCtk0qEaBYryMExV0M92fT4+3z6enLbTff348nfa/Duf2+Tauh+Pfn8+n4+PheG7H+y2+8T/dxvWtj7qltU8rX7a8trnYsral2H1t92Lr2tZij7U9im1r24rta9uLjVDAQA2o5LAGFHRY2WGBh5UeFnxY+cXuPJ4evp7O3+4fDsf94VVaf1OhYqGKFSsWrljBYiGLFS0WtljhUoFLFS4VuFThEq33mqguNhW6VOlSoUuVLhWUVFFSQUkVJRWUVFC+/AMTS9sqgKKOVAAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
        "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>B</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
        "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -392,7 +401,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -415,17 +424,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 63,
    "id": "ee0ca3b3-38d6-4bcd-bfbb-0bae34ca77df",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(624, 15)"
+       "(727, 15)"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -437,7 +446,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 64,
    "id": "0a9accaf-a842-44e8-87ba-c020629b5810",
    "metadata": {},
    "outputs": [
@@ -482,24 +491,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>AKT2</td>\n",
-       "      <td>Akt</td>\n",
-       "      <td>AGC</td>\n",
-       "      <td>3e87</td>\n",
-       "      <td>G95</td>\n",
-       "      <td>B</td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP</td>\n",
-       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 16 na</td>\n",
-       "      <td>c1cnc2[nH]ccc2c1</td>\n",
-       "      <td>*c1ccnc2[nH]ccc12</td>\n",
-       "      <td>AP</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
@@ -517,10 +508,28 @@
        "      <td>AP</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AKT2</td>\n",
+       "      <td>Akt</td>\n",
+       "      <td>AGC</td>\n",
+       "      <td>3e87</td>\n",
+       "      <td>G95</td>\n",
+       "      <td>B</td>\n",
+       "      <td>B</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP</td>\n",
+       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 16 na</td>\n",
+       "      <td>c1cnc2[nH]ccc2c1</td>\n",
+       "      <td>*c1ccnc2[nH]ccc12</td>\n",
+       "      <td>AP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>2</th>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>JAK1</td>\n",
        "      <td>JakA</td>\n",
        "      <td>TK</td>\n",
@@ -536,27 +545,9 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ALK2</td>\n",
-       "      <td>STKR</td>\n",
-       "      <td>TKL</td>\n",
-       "      <td>6gin</td>\n",
-       "      <td>IR2</td>\n",
-       "      <td>B</td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP S...</td>\n",
-       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 n...</td>\n",
-       "      <td>O=c1[nH]cnc2ccccc12</td>\n",
-       "      <td>*c1ccc2ncn(*)c(=O)c2c1</td>\n",
-       "      <td>AP</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>CK2a1</td>\n",
        "      <td>CK2</td>\n",
        "      <td>CMGC</td>\n",
@@ -565,11 +556,29 @@
        "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 1...</td>\n",
+       "      <td>14 14 14 14 14 14 16 14 14 14 14 14 14 14 14 1...</td>\n",
        "      <td>Nc1nc2ccccc2c2cnccc12</td>\n",
        "      <td>*Nc1nc2cc(*)ccc2c2cnccc12</td>\n",
        "      <td>AP</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>ALK2</td>\n",
+       "      <td>STKR</td>\n",
+       "      <td>TKL</td>\n",
+       "      <td>6zgc</td>\n",
+       "      <td>H8H</td>\n",
+       "      <td></td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP S...</td>\n",
+       "      <td>16 16 16 16 16 14 5 5 16 16 16 16 16 16 16 na ...</td>\n",
+       "      <td>Nc1ncnc2ccccc12</td>\n",
+       "      <td>*Nc1ncnc2cc(*)cc(*)c12</td>\n",
+       "      <td>AP</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
@@ -578,7 +587,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -599,17 +608,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 65,
    "id": "f45a78eb-342f-4035-a0ab-6e925ae0ecf9",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(388, 15)"
+       "(528, 15)"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 65,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -621,7 +630,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 66,
    "id": "284333cb-9754-4b3a-8b00-29698eb5ef3c",
    "metadata": {},
    "outputs": [
@@ -666,9 +675,63 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>5l4q</td>\n",
+       "      <td>LKB</td>\n",
+       "      <td>A</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
+       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
+       "      <td>Nc1c[nH]c2ncccc12</td>\n",
+       "      <td>*Nc1c[nH]c2ncc(*)cc12</td>\n",
+       "      <td>AP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td>*Nc1ncnn2ccc(*)c12</td>\n",
+       "      <td>AP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>ACK</td>\n",
+       "      <td>Ack</td>\n",
+       "      <td>TK</td>\n",
+       "      <td>4ewh</td>\n",
+       "      <td>T77</td>\n",
+       "      <td></td>\n",
+       "      <td>B</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>14 14 14 14 14 14 14 14 14 16 14 5 5 4 4 4 na ...</td>\n",
+       "      <td>CNc1ncnc2[nH]ccc12</td>\n",
+       "      <td>*CNc1ncnc2[nH]c(*)c(*)c12</td>\n",
+       "      <td>AP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAWPElEQVR4nO2de1gTV/rHvxMCCAhGLuEuiMpar62y5aEVq+hqvWzXWu1Fq/XyLNv9qWi3YrXdR7v6dEUtrpe63lartdourPpUi7iPRcHauthnVUS0Imi4iBgoIgECJOT8/hg2iQE0ITMkM3M+f/iYd2bOvHn8eM7JmTnnMIQQUChcI3N0AhRxQsWi8AIVi8ILVCwKL1CxKLxAxaLwAhWLwgtULAovULHs4siRI4GBgaWlpebBu3fvBgYGpqWlOSorZ4CKZRdarVatVre2tpoH9Xq9Wq3WarWOysoZoGJReIGKReEFuaMTEAN3797V6XTGjyUlJQ5MxkmgYnHAuHHjHJ2C00HF4oALFy6Eh4cbP6pUqpdeesmB+TgDVCwOCAkJ6dOnj/Fjc3OzA5NxEmjnncILVCwKL1CxKLzA0Hfe7aG8vDw/P3/MmDFarVahUMhkMgCNjY05OTnDhg0LDQ11dIIOg4rFDUOHDr1169bly5eHDBni6FycAioWN/Tq1auuru7hw4cKhcLRuTgFtI/FAQ8fPqyrq/P29qZWGaFicQD72kxERISjE3EiqFgcwD4cpGKZQ8XiALbGMh98p1CxOICK1R4qFgewTSEVyxwqFgfQznt7qFgcQGus9tABUntpaWnx8PBwcXHRarUuLi6OTsdZoDWWvZSVlRkMhtDQUGqVOVQse6HtYIdQseyF9tw7hIplL7TG6hAqlr3Q0dEOoWLZC20KO4SKZS+0KewQOo5lF4QQLy8vrVZbX1/v5eXl6HScCFpj2QW7qoy/vz+1ygIqll2cPHkSQHBwsKMTcTqoWF2kqalp5cqV7777rpubm0qlqqurc3RGzgUVqytcunRpxIgRGzZsYBgmMDBQo9Hs3LnT0Uk5GYRiCy0tLSkpKa6urgAGDRp06dKlf//73wCUSmVjY6Ojs3MiqFg2cPXq/aFDhwJwcXFJTk7WarVs/Ne//jWA7du3OzY9p4KKZRU6HUlJIT16tA4f/lJUVFROTo7xUH5+fnp6OoDw8PDm5mYHJulU0D7W07l+HbGxWLkSLS2yqVO/ys/PHz16NAC9Xr9hw4aRI0cWFBQMGTKkrKzs8OHDjk7WaXC02Q6mtJSkpJBjxx4LlpWRlBRSWkr0epKSQtzdCUAiI8nZs6Zz8vPzR4wYAUAmkyUnJx86dAhAv3799Hp9N38F50TqYmVnE4C4uZEbN0zB8+cJQI4cIfHxBCAMQxITiUbTdlSvJ9u2fe3u7g4gKioqOzubEKLX6wcMGADg66+/dsT3cDqoWAQg/v5kzBhiMLQFWbEWLiQA6dOHnDljOr+oiMTHk9BQlY9Pr8TERI1RN0J27doFYPjw4QZjQRKGikUAsmULYRhy4EBbkBUrK4usXUsePWoLtraS1FTi4dFm27lzlRZFNTU1sesWnTx5shu/gZNCxSIAyc0ls2YRPz9SVUXI/8TKzjad1thIRo0iQFtNZrTNgs2bNwOIjY3tjtSdG/qrsI2NG9HSglWrOj7q4YG+fREUhG++wT/+AR+fjk/7wx/+EBAQkJube+7cOf5SFQRUrDZCQ7FmDfbtw48/dnzCtm24cQOvvPKkQjw9PZOSkgD89a9/5SFHIUHFMrF0KYYNw5IlMBg6OKpQoHfvpxeyZMkShULx3Xff/diZodKAimVCLsf27bhyBfYMc/bq1evdd98FsHHjRs4yEyBUrMeIj8ecOdi/365C3nvvPU9PzxMnTuTn53OUl/CgYlmyaVOnfXMrUSqVCxcuJISkpKRwlJTwkLpYvXtj/Hj06mWKKJXYuhXjx1vVo+qMFStWuLm5/fOf/7x9+7b9SQoSR493OBFLl5J580hDAzelLVy4EMDvf/97booTGnSWjglfXzx8iJoau+oqI8XFxQMHDmQYpqioyJ7JYdeuXYuOju7RowcHOXUjUm8KzZHJAHQ81tAF+vXrN2PGDJ1Oxw7Hd5nZs2e3tLRwk1M3QsUywS5D9PjG4XaxatUqhmH27t2rVqttvZYQ8tvf/vbgwYODBg3Kzs6eOnWqsOZrULFMcFtjARg2bNjUqVMbGxu3bt3ahcvXrVun0Whyc3Pz8/M//vhjYbWGVCwTnNdYAD766CMAn332WW1trU0XMgwTHR197ty5PXv2nDlzJjw83M3NjcvMeIaKZYLzGgtAbGxsQkJCXV3d3//+dysvefToUWFh4Y8//rhv3z4XFxcPD49p06aVlZVxmRb/0F+FJiIjUVIClQrcrhyTlZU1fvx4Pz8/lUrVs2dPrVb74MGDiooKtVrN/llZWWkwGO7fv3///v3q6mqLrvq8efOE+Eib7gltgo+mEMC4ceNiY2Nzc3MHDBjQ2NjYYR88Jibm3r177N+9vb0DAwP9/f2VSmVAQEBcXBzHCXULVCwTfDSFLIMHDy4uLq6srATg7u6uVCpDQ0OVSmVQUFBwcLBSqezfv7+vr69SqVQqlcLqpHcGFcuEnTVWUVGRj4+PUqm0iBNCcnJyqqur9+7dO336dF9fX/vSFAa0827Czhpr+fLlYWFhx48ft4h///33xcXFoaGh8+fPl4hVoGKZY49YarX61KlThJD2XaKDBw8CmDdvnqQWgqdimbCnKTx8+LBOp5s0aVJQUJB5vKGhgZ2A//bbb3OQonCgYpmwp8YyVksW8aNHj2o0mhdffHHgwIF2picsqFgmulxjXblyJS8vz8/Pb8qUKRaHDhw4AOCdd96xPz1hQcUy0eUai62uZs+ezc67N1JSUpKTk+Ph4TFz5kxuUhQOVCwTXRNLp9MdOXIEHVVLBw4cMBgM06dPl+Du9lQsE11rCr/99tuqqqohQ4awi88YIYSwS9C073hJASqWia7VWGwvav78+Rbx8+fPFxcXh4WFjR07lpP0hAUdeTexYgXmzEG/fjZcolarMzMz5XL5rFmzLA5Jc/jKhCNfuHcOXnqJxMWRBw8eC44ZQ/72t6dfm5qaCuCVV16xiNfX13t7ewP4+eefuctUSNCmEFev4uJFJCdbBsvLn37tF198gY667enp6RqNZtSoUb/61a84S1RQULEAYMQIHDoEW1eIuXz5cmfDV2w7KMHhKyO0jwUAkyZBocAf/4i8PDw+FPUkWHvefvtti+ErlUp1/vx5Dw+PGTNmcJ6qUKA1FgAwDLZsQXExrF/Io6Wl5auvvkLnw1evvfaaBIevjFCx2hg6FIsW4ZNPcOuWVecbh6+ee+458zgh5Msvv4RUh6+MULFMrF0LX1+8955VJ7PDVwsWLLCI5+TksMNXY8aM4Tg/QUHFMuHjg9RUZGbi1KmnnKlWq0+fPi2Xy9966y2LQ8bxUokOX/0PKtZjvPUWEhKQnNz2YGf1aqSnd3DaoUOHdDrdlClT2r99dfToUQCzZ8/ujnSdGPqr0JKdOzFsGJqboVbj8GEYDJg+HTt2wFyhzoav0tLS6uvr4+PjJTt8ZYTWWJZER7d1s5RKfP45evfGsWN45hns2dN2QkVFRXl5eUBAAB2+ehKOHvp3MJWVZMsWcunSY8GGBrJ7N7l4kRBCKirItGltK7y//DIpLSWEkKampqtXr1oUdffuXYZhPD09H3W2DLyUkLpYc+cSb29y/PhTTjt4kPj6EoD06kX272/ucFOTNWvWAJgzZw4viQoNSYt1+TKRyYibG7l9++knV1aSGTMIQOLitsTHxxcWFpofNRgMUVFRALKysvhKV1BIWqzRowlAPvjAhkuOH/+FnZLq5eW1bdu21tZWNn727FkAERERxojEEZJYDQ0NV69eraurs4jn5eXdv3/f1tLS0wlAAgJIba1tF9bU1CQmJrI91BdeeOHmzZuEkLlz5wJYvXq1rWmIFSGJdeHCBQAZGRkWcZlM9oFN1Q4hzc2kf38CkF27uphMRkZGWFgYgB49eqxdu7Znz57scqNdLE50SHS4YetWFBVh0CAsXNjFEiZPnpyfnz9//vzm5ubVq1fX19ePGjWqn02vn4oaKYpVVYVPPgGAzZsht2OEWKFQ7N+///Tp035+fv3794+Pj+cqQxEgRbHWrMGjR5g8GRMnclDahAkTli5dWlRUpNfrOShOLAjvkc7JkyeLi4vNI8SWRQlv3lR/8YVSLsemTZylxLaAKpWKsxKFj/DEysjIyM7ONo/YJNb778/z9W2YP//goEGRXKUUGRkJKtbjCE+sXbt2TZ482Txi/QsqWVlZmZmZCoViyZKeHKZExWqPePpY58+f1+l0TzihtbV12bJlAP785z/7+/tzeOvg4OAePXqo1er6+noOixU0IhHr4cOHEyZMGDx48HfffdfZOXv27Ll+/XpUVNTixYu5vTvDMBEREQBKSkq4LVm4iESspqamiIiI27dvT5gwYd68eVVVVRYnaDSav/zlLwA2bdrkbv1EHKuhraEFIhErODj4+vXrW7Zs8fT0PHjwYHR09NatWw1myzCsW7fuwYMHL7zwwquvvspHAlQsSxw99G8ber2+fbC1tdX4HktxcfGkSZPYrzZy5MiffvqJEHLnzh13d3eZTMZ+5IP169cDWL58OU/lCw6BiWUlJ06cCA8PByCXy5OSkqZNmwbgnXfe4e+O7BzDGTNm8HcLYSFOsQghjx49SkpKMo5EeHl5lZeX83e7ixcvAoiJieHvFsJC5Hvp5OXlvfnmm42NjTExMez8GZ6orKwMDg729/dv/7tBmoik894Zw4cPX7NmTWlpKd83CgwM9PT0rK6u1mg0fN9LEAhv5N1W+vfvD8Di8SLnMAzz8sv/V1PjXlqqHzyY11sJAyoWZ2i1m7KzcecOqFgQfVMIQKFQ9O7du76+vv3GzN9+++2nn37KVeMVGQkAdCSLRfxiAWDnz9y5c8ci/tFHHyUnJxcWFnJyF3b7TPpQh0USYrHvS7VvDVnhuGol+/YFgLt3OSlM8EhaLDbevibrGrQpNEcSYnXWFHYmXNegYpkjCbG6pylUKuHlhZoaPHrESXnCRtJicdsUgvbfzZCEWGFhYe7u7pWVlQ0NDebxyMhIuVxeVlbW3NzMyY1o/92IJMSSyWQRERGEkLuP/5vL5fLw8HCDwcDVm5+0m2VEEmKh81aP2/47bQqNSEssOpTVbUhFrM4EokNZPCEVsbqnKezbFwMG2LYxnVgR/9sNLE9uCu2vsX7+Gfn5GDkS5g8eb93CtWt47bW2LTYlhVS+cVRUFMMwKpWq9fGteY01mZ1v0n7zDV5/Ha++CvOVQU6cwOuv44mzaEWLVMTy8PAIDg5uaWkpf3wbQh8fH39//8bGxsrKSjtvwTC4fRs7dthZjEiQiljg/4khw2DpUqxejXv37CxJDEhIrG4YcfjwQ3h5Ydky+0sSPBISqxtGHLy9sX49/vWvp2/zJHokJFb3jDjMnYtRo7B4MbRaTsoTKpITi+/Bd4bBrl0oL8enn3JSnlChYnH/8szgwViyBBs2oKKCqyKFh4TECggI8PHxqa2trampMY+HhIR4eHio1eq6ujqu7vXxx1AoTBuGSRAJiQWgb9++aFdpMQzDxu9y9/TY2xupqWhs5Ko84SEtsfjrvysUiIp6LPLGG5g5E1FRYJgulypgpPKskOUJ3SyFQmF9U7hrF4KCMG1a28eaGqSn4/PPLU9LS7MnWYHj2MVuupmdO3cCWLBggUW8paXF+kJKS4mnJ2EYcuVKW2TRIgKQ3/yGqzTFAG0KAcDV1dX6QpKT0diIN97As88CQEEBdu+GXI7UVO4SFT5SFMuevtQPPyAtDR4eSElpiyxeDL0eixZh6FBOchQLjq4yuxWdTufq6iqTybRabRcub20lI0cSgKxd2xZJSyMA8fMj1dVc5ikCpFVjGafldG154z178N//ok8fvP8+AGi1WLECANavh58fl3mKAGmJhf+1hj/88IOtFz58+PDo0W2hofrNm+HpCQAbN0KlwnPPYcECztMUPo6uMrubkSNHhoSEyOXyxMREmzb8TUpKAjBx4u/Yj2VlxMuLACQnh59EBY60xDpz5gwANzc3djXlnj17rlmzpv0m0+0pKChwdXV1cXHJy8tjI8uWFTMMefNNnjMWLNISi90Edf369Tdv3pw5cybDMAD8/PxSUlKampqecOGECRMALFmyhP2Yk5MDIDY2ubTU0C2JCw8JiZWRkQHA39/fWEX95z//GTNmDNsl6NOnz+7duzvc+YJdx9vX17e6upoQotfrhw8fDmDdunXd+gUEhVTEMhgMzz//PIDU1FSLQ2fOnGFFATB48OC0tDTzo1qtln1EvXPnTjayY8cOAH379u3amIVEkIpYx44dAxAcHNzQ0ND+aGtra1paGisQgBdffPHChQvsofr6+j/96U8xMTFsZVZTU8PudXjs2LFu/QJCQxJitba2snXSZ5999oTTmpubd+/erVQqATAMM3PmzMLCQvaQTqdj/7Jo0SIACQkJvCctcCQhFruDUp8+fZ7cQ2fRaDQpKSne3t4AXF1dExMTKyoq2EMFBQVyuVwul1+7do3nlAWP+MXS6/XPPPMMgL1791p/VXl5eWJiolwuB+Dl5fXBBx/U1tayvw2TkpL4y1Y0iF+s9PR0hmH69etn07sxLDdu3DBunOnj42P+25DyZEQuVktLS1xcXGxsrMVvPZvIzc0dO3YsgLCwsLXG58+UJyLyZ4VpaWkqlUoul9uzY+/zzz9/9uzZhISE8vLyfnSNIusQs1g6nW779u0AVqxYwfaW7CEmJgacTrgQN2IW68svvywtLR04cODUqVPtL43zmTziRrRiNTc3G6srGRcLn7ETpqlYViJasQ4cOFBZWTl06NCJEydyUiBbY3E4YVrciHNP6MbGxri4uKqqqkOHDo0bN46TMnU6nYeHBwCtVmvT5AtpIs4aa9++fVVVVc8++2xCQgJXZbq6uoaGhra2tpaVlXFVpogRoVgajYadP/jhhx8ynE5Dpq2h9YhQrJKSEh8fn7i4uFGjRnFbMu2/W494ptjfunWroqJi7NixQ4YM+f7773/55RfOb0FHHKxHDDVWU1OTXq8vKio6deoUgObmZldX16CgIM5vRJtC6xGDWBkZGaNHj758+bJGo5k9e/by5ct5uhFtCq1HJMMN9+7dW7ly5b1793bs2BEdHc1OwuGc+/fvh4SE+Pv7V1VV8VG+mBBDjQUgMzNToVDMmjVr06ZN/P1XCQoK8vT0rK6u5nDtP7Eiks67r6/v+++/HxISYjAYuB1iMIdhmMjIyBs3bqhUqmHDhvF0F3Egkhpr+vTpkZGRbm5uiYmJPLWDLLT/biUiEavboP13K6Fi2QYdyrISKpZt0KbQSqhYtkGbQiuhYtkGW2NVV1c7OhFnh4plLYWFhadPn/b29q6qqnrw4AEbrKqqyszMrK2tdWxuTggVy1r2798/ZcoUAOzaDSw//fTT5MmTCwoKHJeXk0LFovACFYvCC1QsCi+I5Flh90AIWbVqlXmEDmh1BhXLBgghly5dMo/w8Z6qOKBi2YBMJsvKyjKPnDp1iv2pSLGA9rEovEDFovACFYvCC1Qsa/H29g4MDLQIuru7K5VKNzc3h6TkzIhkMgXF2aA1FoUXqFgUXqBiUXiBikXhBSoWhReoWBReoGJReIGKReGF/wcJ2s3RSmodOQAAAV16VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAPiDmB+IGRjYHDSDNzAKjGRlANCMjOp8dwmeGicP46OLo+hkMQDQDoyQHkHQsyc/1K83J0ZBh0MYpwc3AmMHEwJzAyMTAyJ4ANIGZNYOJlS2BjT2BjTuDiZ0jgYMzg4mTi4GTO4GHgYGbl0GEiQ2oiI2dkZWDnY2bU3wTyFwoZuCzZozd/6W2yZFjjaGTd2TbfpeqXsfC2UZOhhxn9n9Qn+D4QczMaZ+B5L6F1+ocRQR0nSx+OO3Z+SfXMc1Dx8nj4S6759VtjppzNJ123fKymywx0dE7S8vpyiy2/QlPpzjuYNB3quvh3L/xwjzH7r96TlbKXHZlhYscTRZpOR1c0WLXcGKVI/t8Tac7GQr2WlazHAv3qjsZPVu3X9mr1DHN3NRpMeMa+3+HZzkq31ZyEgMADCpdY2utefYAAAHFelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfZPLalsxEIb3fgqtCxVz1WXpS0hKyTEkbrchdNNAKRT8/nRGsitp02MvpDmf/hnNP4f/yPXt/dd1//bj5/vH78Mu+PNy+vpxDf8ePu0sDv/511rDdwaA3XPwRTg8PH7ZwvGyP9wjx/O37fIaUAKqnbHfyu4v5+d7BMMxfIZYEptmwBQZUW0lEgWLpRmHyVGMIDU5mmMqkjua1NmBcnhyVKu4ApYIWJuqRiWSGZVeAN5UNVbKDghHSppnVF0VTAuroxJLFuooZFjQFLYAkZNCv1VBaPkpCpDOZLb8lr4a0SpFztDJBLxcqpimpVfS0tGEBD191jV9vaGcW1drLNpqdlRymlGEXgCLA2RFg8qtAC1LqxCtARBJq9dKGFlyvd9KeUGpqSZKqRdAuWkJxsq62IocPrlZnJJ0B2wUUjeLQXBhxVjP2zpjsizNIoGYURbZh+20DFofvcN5O43RswENNMbLtzJGyN4FHmMiti1jFPy0Drv9fRqe2ibkYZxYqAxzfIs0OSDG1KnNYhDOzUSnEKeeSYvQ1Bn08EC8RD8pc0fm+/v+/tnaevcX0MjH/DnoBIMAAAF0elRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicZZA/SwNBEMW/ikWKJKzDzM6f3c1VKUTLgGAjInqkEMklxGiVD+/sBSG3XnM77zc83rxlT/38+eFlMcTh8ujny0XvA/lwc57fErCZBFJgRgvifxTqbhGyMQcyYCINIiCUO19HKRYogWVJVTa96FrcJQNS0eqiMUp10ai56kYxCENSTKPMyc0LZKUy6pKsQyCWEiJ6BpUg0c2zuBy1UIgeVVKpsqCyyxbNqklM2bcJCmtXlzhXlUU9IEKiakElU81BnEZj5Owqm9YTM6FefKPWdDTeqFBikpoumo6pkTwtCeQk4zWYMC3C7HX9tFp2f9/4moW30363Oe4PK4Sv7/fDvv/cnuDxzsft8PNx3A+77XCC4W1FV3y98fGak63ilMeW85Rzy2XKpeU65dpym3JreZry1PI85bnl5Yrfr31s+8GmIGwdqK3wX4fUlEj/WqSmRmp7PP8C58DvY6Knp/AAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
        "      <td>ACTR2</td>\n",
        "      <td>STKR</td>\n",
        "      <td>TKL</td>\n",
@@ -683,7 +746,7 @@
        "      <td>AP</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
+       "      <th>4</th>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
@@ -700,60 +763,6 @@
        "      <td>*Nc1cc(C2CC2)[nH]n1</td>\n",
        "      <td>AP</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>AKT1</td>\n",
-       "      <td>Akt</td>\n",
-       "      <td>AGC</td>\n",
-       "      <td>3mv5</td>\n",
-       "      <td>XFE</td>\n",
-       "      <td>B</td>\n",
-       "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>16 16 16 16 16 16 16 16 16 16 16 16 8 8 8 8 na</td>\n",
-       "      <td>Cc1c[nH]c2ncncc12</td>\n",
-       "      <td>*c1ncnc2[nH]cc(C)c12</td>\n",
-       "      <td>AP</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>AKT1</td>\n",
-       "      <td>Akt</td>\n",
-       "      <td>AGC</td>\n",
-       "      <td>3ocb</td>\n",
-       "      <td>XM1</td>\n",
-       "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP FP</td>\n",
-       "      <td>14 14 14 14 14 14 14 14 14 14 14 14 14 na</td>\n",
-       "      <td>c1ncc2cc[nH]c2n1</td>\n",
-       "      <td>*c1ncnc2[nH]ccc12</td>\n",
-       "      <td>AP</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAcfklEQVR4nO2deVyU1f7HP8OwyKICgoi4hLkgwlVDRSEzBTcuKFba9WWkWde0DMsy6na92HbD8qUoZqKlUa5YNx0wItdERQFNEQU3glxAkX1Vhjm/P453fnNxeJjlWWaG8/7L1zznOec744fn+Z7vOd/zlRFCwGDwjZXUBjAsEyYshiAwYTEEgQmLIQhMWAxBYMJiCAITFkMQmLAYgsCExRAEJiyGIDBhMQSBCYshCExYDEFgwmIIAhMWQxCYsBiCwITFEAQmLIYgMGExBIEJiyEITFgMQWDCYggCExZDEKylNoAf7t9HXh4A+PvD1vZ/Lt25g5s30bcv3NwkMa2DYiFPrBs3MGIERozAypWtL23bhhEj8NNPUpjVgbEQYan59FNcviy1EQwLE9bgwWhuxhtvSG0Hw8KE5e+POXNw4AB27pTalA6PRQkLwGefwckJb72FqiqpTenYWJqwvLzw/vu4cwcffCC1KR0bSxMWgHfegY8PNm5EZqbUpnRgzF5YSiWqq//nE1tbrFsHlQpvvAGVSiKzOjzmKqyGBqSk4NVX4eWFjz5qfXXiRMyahTNn8O23EtjGgNlF3m/fRkoK9u3D4cO4f//hh/n5WlquXo20NPzzn1i4UEwDGQ8xD2EVFiIlBXv2IDPz4dvNygoBAQgPx6xZ8PXFtWutb/HywooVePttfPWV+PYyTFhYLS04dw4pKdi9GwUFDz+0t0dw8EM9eXq200N0NL77DufPC20pQwsmJ6zGRhw8iNRUKBQoLX34YbduCAtDRASmTEHnzrp2ZW2N9evx1FOg5/eeO4cVK/Ddd+jSRRDLGZqYirDu3cPPPyM1FWlpqKt7+KG3NyIiEBGBp5+GNaelTk6YOROjR7f+/Mkn8fHHOH8e3t54+WWcPYsJE5CWBnd3Qb4FQ41M2uO4CwsLU1JSUlNTa2uXnj49FYCVFYYPR3g4IiIQEMDnWMXFmDQJV67Axwfp6ejTh8/OGa2QQFgqlSozM1OhUOzdu/fKlSv0w/HjFzg4JE6fjogI9Ogh1NB37mDKFJw7h549kZ4OPz+hBmKIJ6ympqbjx4+npKTs2bOnpKSEfujq6hoSEhIeHh4ZGdlFFN+nqgoRETh+HK6u+PlnBAaKMGaHhAjMvXv3kpKSZs6c2VnD637ssccWLFigUCgePHggtAGPUl9PwsIIQJycyIED4o/fIRBKWIWFhfHx8aGhoTY2Nmo9+fr6xsbG5uTkCDSo7jQ3k3nzCEDs7MiPP0ptjSXCs7Dy8vJiY2MDNLxua2vr4ODg+Pj4Gzdu8DuWkahU5M03CUDkcvLNN1JbY3HwKazBgwer9eTi4jJnzpzk5OSamhoeh+CduDgCEJmMrFoltSmWBW/O+5gxY4qKiqytrcPCwsLDwydPnmzbKl3GVFm/HkuWQKVCTAzi4qS2xlLgR1hVVVXdunWzsbGprq62s7MzvkOR2bYN8+ejuRmvvYaEBFiZ654PE4Kfn/DkyZMqlWrkyJGmqaoLF5CeztXghRfw44+wt8eGDYiKQnOzWJZZLrwJC0BwcDAvvfFLaSkmT8a0adi9m6tZRATS0tClC3bswIwZaGwUyz7+ePDgQX5+vspENjfy4qmNHz8ewL59+3jpjV9UKvLuuw899Pj4dhpnZxM3NwKQkJCWysoqUQw0lrq6OoVCERUV1bVrV3d396FDh/7www9SG8XHrLC5udnJyUkmk929e9f43gQiLo7IZAQgMTHttMzPJ489RkaP/sLPz+/WrVuiWGcIxcXFCQkJrSKFnp6eAKytrZOSkqQ1jwdhZWdnAxg4cKDxXQnKt98Sa2sCkDfeIC0tXC3//PPOoEGDAAwYMKCoqEgsA3UiLy8vLi4uODhYJpNRMcnl8uDg4Li4uIKCAkJIXFwcAJlM9sUXX0hoJw/CWrt2LYB58+YZ35XQ/PQT6dSJACQqijQ3c7UsLy8PDAykz4Dc3FyxDNSOUqnMyMiIiYkZMGCA+uHk4OAQHh6emJhYWlraqv369eutrKwAxLT7fBYMHoT1/PPPA9i0aZPWq8uXL589e/aZM2eMH4gXDh0inTsTgEybRhobuVrW1taGhoYCcHFxOXnypFgG/j/19fXUeXJ2dlbryd3dPSoqKjk5ua6ujuPebdu20VfkokWLWrifz8LAg7B69+4NIC8vT+tVPz8/ACdOnDB+IL7IyiLduhGAPP00qa7matnU1PTMM88AcHR0TE9PF8e8u3fvJiUlhYeHa8Zu+vXrFx0dnZGRobtKUlJS7O3tAcyePVv8xX5jhXXz5k0Azs7OWr9wdXW1lZWVnZ1dI/fDQXQuXiReXgQgI0YQ7imHUqmcP38+AFtb2z179ghn0vXr1+Pj4zWdJysrq4CAgNjY2EuXLhnW59GjR+lmpLCwsPr6en4N5sZYYe3cuZParfVqWloagKCgICNHEYLr10m/fgQgvr7k5k0lR0uVSrV06VLqJm/evJlHG9TOE50rUOzt7anzVFJSYvwQOTk57u7uAAIDA+/du2d8hzpirLCio6MBfPzxx1qvLl++HMCyZcuMHEUgSkrI0KHEz6/Gxyfg8uXL3I3Vs63PP//cyHEbGhoUCsWCBQs8PDzUenJzc6POU21trZH9tyI/P79Pnz4AhgwZIloAxVhh0R0yhw8f1no1JCQEwH/+8x8jRxGOigoSGvosAA8Pj99//5278ZdffmnMbKusrIzueXR0dGzlPB04cKCZe5pqHLdu3aLOrre397Vr14QbSI1Rwqqrq7O2tra2ttb6R6ZUKumuUV4e6cJRX18/ZcoUAF27dj127Bh34+3bt9PZ1sKFC3X0o9XOk9V/F7fVztPFixf5+AY6IXIAxShhHT58GEBAQIDWq2fOnAHQv39/Y4YQh/v378+aNQuAnZ1du8/X1NRUOtuaMWNGU1OT1jYtLS05OTmxsbGae9Q6deoUGhoaHx8vVUBfzACKUcL65JNPAERHR2u9mpCQAODFF180ZgjRUCqVCxYsoOshW7du5W7822+/de3aFUBISIjm01rtPPXQyDRydXWdOXNmUlKS0HseCwsL58yZwz2KaAEUo4QVFhYGYOfOnVqvzp49G8DGjRuNGUJk1B76mjVruFteuHChZ8+eAEaNGnXlyhXqPDk5Oan15O3tTZ0n0WJITz31FICRI0eWlZVxNBMngGK4sFQqlaurK4A///xTa4O+ffsCkHw9RF/Wrl1LI0nteuiXL1+m31HTeQoMDPz3v/8tpvOk5o8//qBrPj4+Pm39p1BUKtXbb78tRABFjeHCys8vdnBw69Wrl9art27dAtClSxelkitEZJokJSVZW1sDWLx4MbeHXlBQIJfLnZycQkJC4uPjb968KZqRWikpKRk6dCiAvn37ihlAeRTDhbV5M7GxIQsXVmq9unv3bgBTpkwxuH9p2bt3b6dOnQC88MILHO+yAwcO0LehmLZxU1lZSXdcdu/e/ezZs9yNNQMoKpWKRzMMFxbNy1u7VvvVN998E8CHH35ocP+Sc+DAAeozrVu3rq02H374IYA333xTTMPaRR1AcXJyOnjwIHdjdQBl3rx5PMbSDBfWwIEEINnZ2q+OG6ccPrziyJFig/s3BU6dOjV37lyOn3vy5MkAkpOTxbRKF+7fv093negVQImMjGwrgKIvBgqrrIzIZMTenmh9SzQ0EFtbIpcT084pNJaWlhYadDC1XFyKUql89dVXqYe+ZcsW7sbHjh2j32XChAm8hEUMFNa+fQ+3nWjl6FECkOHDDTfLLMjNzaVustSGcKH20FevXs3dUjOAYvxytYFZOidPAkBbWTknTnBdtRhOnDgBU81NUhMTE0O3+C5duvS9997jaOnn55eRkfH4449nZWU99dRTdF5vOIbpcexYApDUVO1Xw8MJQLZvN1zvZsGLL74IICEhQWpD2ue7776jAZTXX3+dO4By+/Ztf39/AN7e3levXjV4REOE9eABcXAgMhkpL9dyVaV6mEFlYlkI/PP4448DaHdKbyLs27ePBlDmzJnDvRhQUVExZswYAD169Dh37pxhwxkirMzMh/vjtHLpEgFIz56G2WM23LlzB4Cjo6Og21345ciRI3RDaXh4eENDA0fLurq6SZMmAXBxcTFsW7khPhZ1sIKCuK6atuPBA9TBGj16tDX3sbumxNNPP33o0CE3N7fU1NQpU6ZUt6oVo4Gjo2NKSspzzz1XWVk5adKkX375Rd+xhBJWW1ctBlM+VYCDESNGHDt2rFevXseOHZswYcLdu3fbamlra7tr165XXnmlvr5++vTpycnJ+o1kwFOOpiEUFGi/6uNDAHL6tAEdmxNBQUEA0tLSpDbEEIqKigYOHAhg0KBBxcVcQWyVSrVs2TIAcrk8MTFR9yH0FlZhIQGImxvRurJ0797DwOn9+/p2bE40NTV16tTJysqqoqJCalsMpLS0dNiwYQA8PT0vXLjA3VgdDIuNjdWxf72F9f33D7M9taJQEICMG6dvr2bG8ePHAfj7+0ttiFFUVlY++eSTAFxdXTMzM7kbf/XVV3S5Ojo6Wpflar19LFpdcswYrqsdxMEKMvPv6ezsfPDgwcjIyIqKiokTJ9KdGm2xcOHCH374wc7Obt26dfPmzVMqle30rq/Mhw4lAGkr54Aec61Q6NurmREZGQlA8hNdeKG5uXnevHkA7Ozs2j3/6ODBg3THx/Tp07mTkPUTVk0NkcuJjQ1pK6u2pYVcuED4TowzOeiWdmMC0yaFSqWi25zkcvk37Z0gffr06W7dugEYP348x3K1fsL69VcCkMBAvW6yNK5evQqge/fuUhvCM2oPfVV7J0ifP3++R48eMplM0fa7ST9hrVhBAPLWW3rdZGl8++23AGbMmCG1IfyTkJCgY0burl27wLlDWD/nnRC4ubXpuXcQMjMzAYyxxF9h8eLFW7Zssba2Xrly5a+//srRsqioCIC3t3dbDfRbjlixAitWoN0JgWVjFrtlDGbu3LnOzs5ZWVl0rbAt2p8XczzuBg4kLi7kvfdaf56dTVxcyGuv6fyEtSBM9mAmMVGpVPQEm+vXr7fVhutVWF2NykqsWoVz5/7nc6USlZVoaNDnD8FSoCfaBwQE0C0oHZOrV6+WlZV5eHj069evrTbt+FiOjpDL8dprMJHDwyXHTNee+YU6AzRq3xbtCMvZGYsWITMTmzfzaZn5QoVlkZ677ugyfWl/Vvivf8HNDTEx+G9V1I5LS0tLVlYWOrywdJm+tC8sFxd89BGqq/Huu7xZZqacP3++tra2f//+PYQrW23yVFVVFRQU2NnZDR8+nKOZTnGsV1/FqFHYtg2HDvFknXliGWvPRqJjQS6dhGVlhXXrYGWF11/Hgwc8GWiGMGFB5+mLrpH3wEC88gouX0ZCgrGWmS9MWNB5+qLHks5nn8HNDR9/jLIyoywzU27fvl1cXNylSxdfX1+pbZEMpVKZnZ0tk8n4FJarK1auRHU1PvnEOOvME7prNCgoSC6XS22LZJw7d66urm7AgAHdu3fnbqnfIvRLLyEoCFlZRphmtljw2rPu6O4M6CcsmQwbN0KdSEcIEhLMshipAVj22rOOCCUsAP7+eP31h/9evhzR0Zg6FTU1+nZjZjQ2Np4/f14ul48aNUpqW6REj+mLMavcly6R3r0JQJ54gty5Y0xPps7Ro0cBDLf4k5k44S7I1Qqjio0PHoyMDAwciLNnMWYMCguN6cykYe9BABkZGQCCgoLUp0RzYGwV+759cewYhg9HYSGefBJ5eUb2Z6Iwzx16/gjGCguAhweOHMHYsSgpwbhxOHXK+C5F5fbt24QQjgaEkFOnTqHDP7H0e2zz9QJuaiIzZhCAODmRX3/lq1cB0Sw8yX3G1aVLlwD0tPiTmTjhLsj1KLwJixDS3PzwjG47O9Je5qM0KJXKo0ePLl26lJ6ZRnFwcGiragvl66+/BjBz5kzR7DRBuAtyPQqfZztZW2PLFri4YM0aPP88EhPx8ss8dm84jY2NBw8eTE1NVSgUpaWl9MNu3bqFhYVFRERMnTpVswbOo7AlQhgwfRFC3XFxBCAyGfniCyG61xV14UlN3RhQeNLHxwfAaYs/mYkT7oJcjyKIsAgh69cTKysCEINqkRoFdZ5CQ0PVZ+2pC0/m5OTo29u9e/dkMpm9vf19yz6ZiZN2C3I9ilDCIoRs20ZsbAhAFi0iutUiNRx14UnNrQe8FJ5UKBQAxln8yUyc5OXlAfDy8tL9FgHPz5wzB127YtYsfPUVqqqQlAQbG56HaGxsPHHiREpKyp49e0r+uyff1dU1JCQkPDx8xowZtHawMdDgTQd3sKiXyZ2W0wphD2YND0daGqZNw86dqK7Gnj1wcOCh2/Ly8v3796empv7yyy+1tbX0Q29v74iIiIiIiHHjxtkYLeGmpqbjx4+npKTQlHNu797iMWT6ItzzU01ODnF3J8OGVY4dO9GYWhqFhYWtnCcAvr6+hjlPWikrK9u6dWtkZKSDxl+ATCbr1KnT3r17eRnCHKEHlma3VZFLG2IIixBSUNDi6zsawLBhw0pLS/W6Nzs7+7333tOs2m1nZzd16tSNGzfyVbVbLVnNRx2VbHZ29ltvvQVALpd//fXXvAxnXpSVlclkMkdHR71qEIskLELIrVu3/Pz8AHh7e1+7dk33G2ltaQAuLi60and1dTUvJuXl5cXGxgYEBKjFJJfLg4OD4+PjWxX0Up8d9YW0ERQp2Lt3L4Dx48frdZd4wiKElJeXBwYGAvD09NS9VvT+/fuXLFly6NAhXmpANDY2HjhwIDo62svLS60ntWSrqqraunH9+vU6nh1lYbz77rsAPvjgA73uElVYhJDa2trQ0FD6f3ny5EnRxi0vL09OTo6KiqI1Pyh9+vRZsGCBQqHQMUa1bds2+q5ctGiRLnuSLAM6Gdy/f79ed4ktLEJIU1PTM888A8DR0TE9PV3QsYqKihITE8PDw1s5TzExMRkZGQZUQU5JSaHFSGfPnq2Xz2GmPHjwwN7eXiaTlWutyNU2EgiLEKJUKufPnw/A1tZ2z549vPevdp5kMpmm8xQXF3flyhUjO//tt99oMdKwsLD6tk75tRRoGM+3rYpcbSONsAghKpXq7bffpv/lmzdvNr5DpVKZkZERHR3dq1cv9cPJwcEhPDw8KSmpsrLS+CHUnDlzhuY/BQYGGl+M1JRZtWoVgL///e/63iiZsCjq2dbnn39uWA91dXUKhSIqKoo+RSjdu3ePiopSKBR8lc5+lIKCgj59+gAYMmQIX1EPE4Q6LVu3btX3RomFRQj58ssv1bMt3Z2e4uJi6jzZ2try4jwZgMEBFDPC09MTwOXLl/W9UXphEUK2b99OneuFCxdyz7by8vLi4uLots9WzlNBW+XIhKS8vHz06NE0gHL+/HnxDTCYBw8etBtJv379OgA3NzcD/lBNQliEkNTUVDrbioyMbPX+os5TTEzMgAEDWjlPiYmJ+sbxeae2tnbixIniB1AMo76+nnoOzs7Ocrmc20H8/vvvAUxrqyIXJ6YiLKIx25owYUJNTY3mT6DWk7u7u9DOkwE0NTU9++yz4gRQDOPGjRsbNmyYNGmSpufg5+fHXfJ50aJFAOLi4gwY0YSERQg5e/YsnW15enpq/gRDhgx5//33T58+LY7zZACaAZTk5GSpzXkIh+eQn5/f7u1Dhw4FcKytilycmJawCCHXr193dXXt3bu3etunLj+BKaAZQNm0aZNUZqg9h0GDBqn/Mu3t7annUFJSomM/1dXVcrncxsbGsFidyQlLqVTSzU8XL16U2hZDUAdQVq5cKea41HNYsGCBh4eHWk9ubm5RUVHJyck65mxpkp6eDmD06NGG2WNywjpz5gyA/v37S22I4WzYsMGAAIph3L17lyaMODo6qvVkQMLIo8TGxgJYunSpYbebnLDWrVsHYO7cuVIbYhQ7duygAZS5c+fysimjFepsW/UxCmrPga8n/YQJEwC0WxqzLUxOWH/7298A6FUw3TRJTU2l21AjIyN5KbyjThjR3POoThihBwUYj1qy9vb23bt3N3hRweSERddJ2q2rbhacOnWKZk3RAIphnTQ0NFDnSfNw+W7dulHnyeBuNaH+/jvvvKMZKbS3tzcm5mxawrp16xZ0PoHJLLhw4ULPnj0BjBw5Ut/l6m+++SYiIoLGjSkDBgx45513MjIylEql8bY1NDTQPY903Ybi6upK9zwaKVnTEtbu3bvBWbfTHCksLKRHRfj6+t68eVP3G0eOHAnjsm21cu/evUcTxB977DHq7/O1ycy0hLVkyRIAH330kdSG8Mzt27f9/f3p/5/uG8J27969adMm3SNP3DyaIA6+c5w0MS1hjRgxAsChQ4ekNoR/Kioq6JFlPXr04F5I4RG1v6+ZMGJnZ0f9fb0en/piQsJqaGiwsbGRy+UGRPPMgrq6OloP19nZ+fjx48INpE4Yoe4dhfccJ25MSFhHjhwB8MQTT0htiIDcv3//ueeeA+Dg4JCWlsZv51oTRvr27atXwghfmJCwPv30UwCLFy+W2hBhUSqVr7zyCl2u3rVrl/Ed/vHHH1qzbcXc8/goJiSsv/71rwB27NghtSGCo1Kpli1bBkAul2/cuNGwTjiybXU/bEg4TEVY6hOYiouLpbZFJOLi4uhuFt0zYJubmx9NGHF0dKQJIxzZtuJjKsK6ePEiOt4Bslu3bqWT/+joaI53VkVFBXWeNBNG9M22FRlTEdbmzZsBzJo1S2pDxOann36ipUqjoqJaLVers20lTBgxGFMR1ksvvQQgPj5eakMk4NChQ/SAuGnTpjU2NnJs+zQgW0YqTEVYdLtjVlaW1IZIw4kTJ1xcXABoHkHYuXPnWbNmbd++vaKiQmoD9UZGOIsyiEN5ebm7u7u9vX1VVZXxh/GZKbm5uUuWLKmpqblx48aUKVNmzpw5adIk7oLepoywR0XqyNmzZ318fMaPH99hVQXgL3/5y5EjR+7evevu7q5+CZovJiGs7Ozsqqqq3r17S22I9LRbEtdc4KFIk/FkZ2cDoCvQDMtAemE1Nzfn5ubKZLInnnhCalsYvCG9sC5cuNDY2Ni/f38aeWdYBtILKycnB+w9aHGYirDoNlyGxcCExRAEiYX1559/lpaWuri49OvXT1pLGPwisbDUDpYFhAQZmpiEsNh70PKQWFgsNGqpSCmsurq6goICGxsbesAXw5KQUlhnz55taWnx9/fXzCJnWAZSCou9By0YKYXFYu4WjGTCUqlUv//+O5iwLBTJhHX58uWamprevXtrHvvEsBgkExZzsCwbyYRVV1fXuXNnJixLRcpkipaWFqVSab75AgwOJHhiZWVljRkzpqqqSi6XM1VZKqIKq6ioqLm52c3NrbKy0tnZubGxsby8XEwDGKIhqrD+8Y9/jB07NiMjw8PDY/Xq1aNGjUpMTBTTAIZoiJr+tWbNmtzc3B9//PHatWstLS2bN2/29fUV0wCGaIj6xPLw8OjXr19ubu6nn36anp4+ePBgzbPnGJaEqMJqamqaPXt2ZGTk3LlzbWxsli9fLuboDDERO9yQn5/v5eXVpUuXgoKCnj17sieWpWISh4IwLA/ps3QYFgkTFkMQmLAYgsCExRAEJiyGIDBhMQSBCYshCExYDEFgwmIIAhMWQxCYsBiCwITFEAQmLIYgMGExBIEJiyEITFgMQWDCYggCExZDEJiwGILAhMUQBCYshiAwYTEEgQmLIQhMWAxB+D867l9xAc7hpwAAAQt6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAbiDmAeIGRjYHDSDNzIJOs0NoZjaHDDDNiCGAh8FgAFLLwCjJASQdS/Jz/UpzcjRkGLS5GRgzmBhYExiZEhjZEpiYM5iYOBOYWRJYWDOY2NgzmNg5Ejg4gSq4GESY2BhYWZiZGNnY2Dk4mRjF+0AGwt0v5bdtv4Zk/n4QZ/kJYZsLG37vA7E3J6y3e9ZVYQ9iH7/puH/XtX9gtochz4Eos2Ng9tROxQOG3htsQexFb3rtq2sPgs1R36jkIH23A8wu4bRw0A86aQdi3/B9bH/56Raw3m3/HuyXjZc8AGKLAQDrDUAdHVKf5wAAAWR6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9kt9LAzEMx9/vr8izsJKk6Y88brshIruBTl9FfHGIguD/j8nJ7A2L7R0k6adpv0nj59v708vr8+ljPYCPu/H29AW/g8fB4vjPp6rwGBFx2IMbsNld30ywPa4358j28DAd74EIiG2PzUt2fTzszxGCLawoCAsnhRUGjVFLBQw4j7aXjfSoIqODopRq7IBxBqMljMkMLVizdjiByfOUVJgVKKiicu/k5HfkQIoJq4FJaorSAbNn5JBYkNnXa8ZKHbBYRgqEtVRx+YkoC3fAaqAlFMbMDmJWlt4ddQZrSakUV6+RMXU4wvnoUlKlaIZQ5NzTYt278hOtPKVElxU1iy38RXfTeNHTny5vDtPYuiz2c2ulu7k1TCwUW1/cLa364kSrsbu0KKXzqRXMnJZazS1QF+rFEF2IFGNaNnuw5JOW2pZK3D+/dbOHb5+GoIYafHuEAAABGnpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nF3QsU4DMQwG4Fdh6ABVGtmOncR3Uxfmm1hROd2AUHNVezD14XGEhJpky//ZsZX9jDPN9VCZCz7dnw/ok6SU3IF80MjBjRYxMUV3AK8haMpuBA+gQABYU1aUbJXoEbKxdQhiZDeSFyaINYGoJDXJSSQ7sOcDgdSulCSjszEYbIw9HpgkiNVoghzVdoC6FpFalSpoXYs8KkjtE87ylwgxkPVZF2RQ9+J278e3YT/+n507bet5uq6XAfzt++Oyzl/L5l8nuy7l5/O6lvNSNl9OAz74cbLroyMP1Dr1HloPvXPr3Lu0Lr3H1mPvqfXUe249966ta+8I3QdBV3H/BcqPsS9IOemQAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>AKT1</td>\n",
-       "      <td>Akt</td>\n",
-       "      <td>AGC</td>\n",
-       "      <td>3qkm</td>\n",
-       "      <td>SM9</td>\n",
-       "      <td></td>\n",
-       "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP FP</td>\n",
-       "      <td>14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 na</td>\n",
-       "      <td>c1ccc2ncncc2c1</td>\n",
-       "      <td>*c1ncnc2ccccc12</td>\n",
-       "      <td>AP</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
@@ -762,7 +771,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -782,7 +791,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 67,
    "id": "b9ed1a54-7f6c-4ae1-b08b-eeea65783ac1",
    "metadata": {},
    "outputs": [],
@@ -792,7 +801,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 68,
    "id": "c11e6b2c-26cb-4c78-820c-3d84cbd28cb6",
    "metadata": {},
    "outputs": [],
@@ -802,7 +811,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 69,
    "id": "af98cbf8-efae-435d-a94f-f28e6f9d659c",
    "metadata": {},
    "outputs": [
@@ -854,15 +863,15 @@
        "      <th>0</th>\n",
        "      <td>AP</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
        "      <td>5l4q</td>\n",
        "      <td>LKB</td>\n",
-       "      <td>B</td>\n",
+       "      <td>A</td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP F...</td>\n",
        "      <td>16 16 16 16 16 16 16 16 16 16 16 16 16 5 5 na na</td>\n",
@@ -871,15 +880,15 @@
        "      <td>[FP, SE]</td>\n",
        "      <td>[AP=FP, AP=SE]</td>\n",
        "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>AP</td>\n",
        "      <td>N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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AyoqEEUhZ2dE70PTCGHpD9c0NzdPnjwZAJydndl/cuzbtw8AJk6cyPJ9zefu3bsURTk7O3M1Gm7fnvnii8cXLqR5FmGosPSHa2pqasaOHQsAbm5uXeabMxO5XD5x4sQ+ffqo72e6d+8eVjznSV1NICQkBAC48sDhVCg0Zh/BGCQs/eGa+/fv4+22Pj4+169fp9c+nQwZMgSeFpJQgV3/JSUlLBhALxs2bACA119/nf1bV1dX29jY2Nra0r7u6VpY+sM1paWlfn5+ABAQEGBIkJgW5s+fDwDJycnqjTijxo4dO9ixgUbKysooinJ0dGQ/WWhaWhoARERE0N5zFwUE8CG48vLycePG/fLLL+qHfQGgsLAwLCystLQ0JCTk9OnT6tuqGAUPyho1layrAoA63t7eISEhEonkyJEjLN/6hx9+AABclYNm9IiOk3CNIRQXFwOAt7e3eiPWWVBQEJuW0MXGjRsBYNasWWzeVCKRODk5URRVzkC6mU6F9fPPP+Nwzbx587gK13SGUqnEpYjUfyOtra329vY8Ho/ljci0wMloiB9XoaGhTHTe6VBYUVHRo0eP6OjoHTt2qA7YYHbu3DljxozW1tbY2Nhvv/1Wdf6JNSiKwisp9YFPIBCMGDFCqVReuHCBZXvMx9vbe8yYMRKJ5Oeff2btpgyOg3rqFR48eLC6ujoiIkJ1MhNTW1sbHx8vl8s//vhjVbiQfXTOqFRlBzkxyUzw4gM75FhAoVBkZWUB+8Lq7EMSiURZWVnbt2//97//zYRBBvIHm78DwMyZMymKOnz4cHNzMwu3O3Xq1OPHjwMDA7EjiX46GyOPHTsGACEhIUwMwOZTV1fH4/EEAsEfxk2KnkY82YmGLVmyBABWrlzJUP+dPrFCQkL4fP6lS5daWloYUbR5uLi4+Pv7S6XSX3/9VdXo6enp5eVVV1d38+ZNDm0zGdZGQ4TQjz/+CACvvfYaQ7foVFhCoXDIkCEymcxSCitqoWc0tN5pFo/Hy8rKampqMr+3xsbGWi0qKytv376dmZlZVlbWr18/9fN29KKvJnRYWNiVK1fy8vL+9Kc/MXR7cwgLC9uxY4f2/H3fvn15eXnz5s3jyjCT8fLyGjlyZEFBwfDhw5GusufNzc1tbW0ajXK5vLGx0dh7OTs7BwcHa6zMaESfsEJDQ1NTUy32r/+PN39XKpX19fW9evXCh8PMRCgUaviJAMDOzs7Jyam1tfXhw4f5+flNTU3quUxohNL5l4G5ceOGv7+/p6cnnhRbGgihnj171tbWVlRUqGJNUqnUxcVFJpPV1NS4uLhwa6Gx7NixY/78+X379t2/fz8uF6WBo6MjrluhDp/PVz8YZwgIobCwsPPnz8fHx+PNwPSjZ2KvVCrxQau7d+8ytHYwE3yMQmPLIXaU5OTkcGWVaTQ2NuLKqHtYqaJUUFDA4/Hs7OwY2pCiz72p08FtUegc+Kx0/p6UlPTgwYPQ0NBZs2axcLvg4OC//e1vbW1tqiqb9NKF39zCPySd5lmj/72ioiI5OZmiqI0bNzI3odYgMTHR1dU1Ozv78OHDtHeub44FAMeOHXv55ZfHjBljmQ+turq6nj172tra1tfXqyYf5eXl/fv3d3V1rampYe1DMpPZs2fv2bNn9uzZuHywOm1tbc3NzY2NjXK5XOMlmUym0zGh8+LAwED19M+YTZs2vfPOO35+fkVFRXhXAW3oHykbGhr4fL6dnZ3l5K7QIDAwEADOnz+v3ujl5QUA7GxnNZ9z585RFGVvb3/nzh3tV3fv3k3LB61zC6RMJnvuuecAYO3atfT+UPrcDQAgFAoDAwOvXr168eJFy/RmhYaGlpSU5OXl4emgqnH//v15eXlMBcLoAyG0fPly/K+Pj4/2Bfb29iKRSKfvwMbGRj3vpgqdF+OVgXYPycnJ4eHha9eunTNnjk4DTKRL6cXExADAJ598Qq+i6WL79u2gtWEc75vrLFOjRYEfSO7u7vX19VzZMGPGDO3foZl0Layvv/4aAGbMmEHjXWmkqKgIAHx8fNQbz5w5AwBD6UoixhgtLS2+vr7A9Vb9srIyXC/jxIkTdPXZtbCuXbsGAJ6ennTdkl4UCsX69es1fiOtra0CgYDH43H4GDAEnOV22LBhnFfU+eijjwAAR4dp6bBrYSmVyp49ewIAa4dwaGHMmDEAcOzYMa4N6ZTKykrsMc/OzubaFtTa2jpo0CAA2LJlCy0ddr3/U+UmtS7PkIV74ABg5cqVDQ0NU6dOffnll7m2BQQCAT7euGrVqkePHpnfoUEbi60xsiuTyYyNoLHJ5cuXd+7caWtri3M3WAJTp06dNGlSbW3t+++/T0N3hjzWcnJygLHjHEyQkpJCURRFURfpSqlJN/gp9Y9//INrQzpw8+ZNPDfV8AuagEHCwm5SgUBgsW5SdVS5u9avX8+1LbrBuzdFItHjx4+5tkUTnIUqLCzMzGTmhiYFCQoKAoCzZ8+aczOmsYrcyW1tbTh16ubNm7m2RQcNDQ048pOWlmZOP4YKa8GCBWDBblJkXqlLNklOTgaAwYMHs3/Q10C++eYbAHB3dzfn6K+hwvrqq68AICoqyuQ7MYp6qctcjUJVlkRNTQ323VhgIUwVSqUSV63GsSbTMFRYluwmZajUJRPgzU8TJkzg2pAuuHjxIp/Pt7GxuXr1qmk9GCospVLp5uYGHdMlqLh79y5XiWVZKHVJF9evX7e1teXz+VeuXOHalq7BMeLw8HDT3m5EqsiJEycCQEZGhvZLc+fOVZVSYiJ1SWcUFxfjHTLslLo0k8jISLCS0DhCqLq6Go/apqWhN0JYq1evBoBly5ZpvxQVFaVKDYI99YmJifpLI5sPh6UuTeD48eMAIBQKHzx4wLUthvLZZ58BQP/+/Zubm419rxHCys7Oxh4Ona+yXJk3JycHn1uyzFKXGigUClySKSkpiWtbjEAul+MkoKtXrzb2vUYIq76+HrtJ9VfJbmlpycnJiYuLUz/A1Lt3b7FYnJmZKZVKjTVRG6sodanOtm3bAMDX19cqPMzq/PLLLxRFOTg4/P7770a90bg879hNum/fPkMuxpV54+PjcdgcY35l3i1btlhFqUsVDQ0NePcmy7nv6eKNN94A40sVGSesdevW4dP+xo5x2pV57e3tcWVeo+Yclh+u0WbFihW0BEm4oqKiAs86jhw5Yvi7jC55smLFCpymEePj47N06dITJ04YuFXt5s2b69evDwsLU6/MO378+E2bNunflGcV4RptysrKHB0dKYoyP6zLIbjQcGBgoOHRAlOKNKmqz+OlPsbNzU0sFmdkZDQ2NhrSyaNHj3BlXnxsS3+qcWsJ12iDT59aSLVLk2ltbfX19bWxsTl+/LiBbzG3ECYe4/AZLIyq+nxlZaUhPdTV1e3evXvNmjWdXWAt4RptlEplbGysvb19aWkp17YYSmfpFIYPH+7q6nrmzBkD+6Gt2Liq+rzqjCgtLlMrCtfoBJ/a054RNjU1rVy50tKevrdu3RIIBLNmzdJIiYhzwfXu3dtwfyFtwlKhp/p8cXGxUV1ZUbimM/AeSaFQqBEYwEF903yPzIET/EV3rFwolUrxut6oOoH0C0uFmS5T6wrX6GHq1KkAIBaL1RsVCgWuVPjBBx9wZZgGJ0+eBABnZ+f79++rt+PN0wEBAUa5DBkUloqWlpbMzMyYmBh3d3cDXabWFa7Rz927d/HC8NSpU+rtZ8+epShKIBBo171iH4VCMWrUKAD4+OOP1durqqpwmjGjfA2IHWGpMNBlal3hGkP44IMPAGDEiBEaTpm5c+cCwLRp07gyTAUemr28vDSG5kWLFgHA5MmTje2QVWGpUCqVBQUF77//Pi4Qp1pOTp06deHChdYVrjEEiUSCTzxrTFMePnyInwdZWVlc2YYQam5uxgW20tPT1dtLSkpsbGxsbGyKioqM7ZMbYalz+/btlJSUl156CeexwCOgtYRrDAcvrNzc3B49eqTejmcwgwYN0h+BZRT8QB0zZozG7xxvlFq8eLEJfXIvLBX379/funXrV199dfLkSa5tYQRc+Pjtt99Wb5RKpf7+/gCwYcMGTqyqqKjAiRs0fIS4IIqrq6vGX4KBWJCw/vAUFxfjHaQaDrnOXBLsMGfOHNCqaCeXy/GGA5OPzxBhscrSpUsBYOzYsRqDjk6XBAsUFhbyeDx7e3uNXTGff/459g2ZPEATYbFKfX093kKjMU0uLS21t7enKOr06dNs2vP8888DwHvvvadhJHYMHThwwOSeibDYZseOHThCpbGbA1dT03ZJMMfevXsBoE+fPhqWLF++HHsQzemcCIttFAoFTrG0YsUK9XaVSyI1NZUFM6RSKa4Sv23bNvX20tJSnL4hPz/fnP6JsDigs+T9GRkZ2CXBQk6HxMREHMPVcBb+5S9/AYB58+aZ2T8RFjdER0cDQEREhEY73iAUGxvL6N0rKyuxY/bo0aPq7WfOnKEoytnZ2fz1KREWN1RWVrq6ugLAoUOH1NtVLolff/2Vubvjw6hTpkxRb1SFCz/66CPzb0GExRkpKSkA4Ofnp3F0Bx/D13ZJ0EVxcbHOQA3OYtyvX7+mpibz70KExRkymWzo0KGglby/vr4en5zbvXs3E/fFo21cXJx6o0QiweHCXbt20XIXIiwu+d///gcAjo6OGjUpvvzyS/zwMPAAgeHgsjnaOd9WrVoFACNHjqSrnDYRFsfoTN6vcklouC7NRCaT4e0kycnJ6u2qcCGN7lkiLI7pLHn/uXPneDyer68vjbseysvLR44cOWjQII3NlWKxGABmzpxJ140QEZYl0Fny/r1795p8XrwzFAqFRr7+ixcvYqfarVu3aLwRERb30J683yhwuFAjDGA+RFgWwcGDB/Gcuqqqis37Yl9/nz59aD9YQIRlKUyaNAkAFixYwNodpVLpwIEDGYpOEmFZCr/99htdyfsNZN26dTrDhbRAhGVB/POf/wSAUaNG0eVM0oPqXJdGuJAuuqgJTWCTxsZGf3//+/fvb9iwAe8yUKe5ubmtrU2jUalU1tfXa3clkUikUqmei7/77rsTJ0688sorTFQahy6LjRNYZteuXW+++Safz9euFk4vTk5OHh4ehw4dCggIYKJ/IizLAiF05cqVOXPmtLS0aLzk6OiIUz6pw+Px8IhmyMUUReEtFQDg4ODw6aefqrKU0Q4RFoERmBIsoZtDhEVgBCIsAiMQYREYgQiLwAhEWARGIMIiMAIRFoERiLAIjECERWAEIiwCIxBhERiBCIvACERYBEYgwiIwAhEWgRGIsAiMQIRFYAQiLAIjEGERGIEIi8AIRFgERiDCIjDC/wMxcbPP5aLR0QAAAXJ6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAAISAWAeIGRjYGDSDNzMLmAKUZ0GiYuEMGiGZmxCJAmMHOAGYwMhFWw8TIAbGaiZuBUYWZgUmLiYmJmYeBWYWFkSWDiZE1gYlNhZmJR4WFWUCBWVCDiYU9gUVAgZUjg4mNN4GNP4OJnTODiYMzgYsvg4mLP4GbN4OJmy9BhJmVmYGRRYCNlYOTnYWRjYufjZebT/wR0CZGeKicvmtqf3B/nz2Ic+jxdPto17n7QOxXiRb7vYpPgMXnOHy1f1fL4ABiP/+g7fAxZxpYzZSGp3ZTC8/tB7Ezd77cfyWbF6xefl2MQzzrabD4lFuz7O+8tTwAYgfk6DqcF4Kwba6qHUio+AZWkzej+4DpN809IHb0idb9Up8cwXYtygk4UJLZADZzqlHjgWtH9oDVMysd2M9Qlglmrznl4TC/ZSJYTWPXZ/svNQlgvWIAr4RhqD+CbNsAAAHlelRYdE1PTCByZGtpdCAyMDIxLjA5LjUAAHicfVTLjhQxDLzPV+QHuuW3k+M8Vgih7ZFg4IoQQmIvnPb/hd3DkKyISM+hbZft2FU9+voDvn7/+e3l1/FQ8ny8fHh5LX8PXQ7hh//8WmvlCwPA4bnkSzk9vXu/lfPteHp4ztfP2+1TwVoIyv68xR5v1+eHB8u5wOoIglZwRVQiDw/sp2dS4CJczbiWBVYGR4cJkAMYcScgkUhRM4ib/AuUvWJDA5ZCEXarNsFp4GiNmHrLytS4wqyz7aOIVBIvC66GVAUnQM8r4lpJm2dclWQ6dA0gZ0WkvaJWQ5hVbPssBM2bloXWBorCEyDCPo0Hki2RtaH7FJnMBMDA3DS7N1KVNoMmOYusbMTquSNAYJcZlMuWtUA0+sZwwCBAM2Tys/BKQWCaAWCaEol6b58tSbK6uLjOFop2X73mBXcdNcQ2h3rclFdkZ8/2yCGBGe1xp2sKCchMIkNDSFM2n7bLG+nfP4bTdbv0jyEf6pqnMLkrO6PS9RuyLdplmqZ1MUZm8S65NJG7sqJSzNgFRGnXQScSJeugBgy7J2DirbSBWMkuMvC3O2ygSbLvSIZEYxxXLnsnHXZ79/QqLT00NCL449Fx0eNa0378P8X74TeGde/ndN6EAwAAAXF6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxlkMFOXDEMRX+FJSOF4Gs7dsKoi4o95QPY0KdZVGhmEAys+Pg6dBX3LV6Ue2InPg+399c/7vEU/1+7h403bPHx7t+64err+gaVtKEXqSSkZX9D1ZlYtaA2M+KyjwSksEiAxlL2qANGUrgSuY3vgNgsurQI4oRUiIvPErFuZc81ltZL9OchfZagm+kMhBw+71HtrF7iUQbuOg8xjSji6N+gs43TcJ1JH3CfN0UVZBa1bogJUDu34YVqa6zs31GjmGFeNoDRZhYvInObhYNbaxFpSHDlGalrsBmJsdisjA4x0wylcriRmI5ImMuuPF/Ox8e38+sd1feP36/n7eVwqT8fY3s4ff55O5+Oh9Ol+h1WjIR5xZywrFgS1hVrwm3FLWFbsSXsK/aE+4p7wmPFI2tJ2vCftywum0NSh+wOSR6yPSR9yP6QBCIbRFKI7BBJIpLFr7/J0xUEejyjWwAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>AAK1</td>\n",
        "      <td>NAK</td>\n",
        "      <td>Other</td>\n",
@@ -888,7 +897,7 @@
        "      <td></td>\n",
        "      <td>A</td>\n",
        "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 ...</td>\n",
+       "      <td>7 16 7 16 16 16 16 5 16 16 16 16 16 5 5 5 5 5 ...</td>\n",
        "      <td>[12*]N/C(=C1\\C(=O)Nc2cc([20*])ccc21)c1ccccc1</td>\n",
        "      <td>3</td>\n",
        "      <td>[SE, GA]</td>\n",
@@ -899,70 +908,70 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2f4j</td>\n",
-       "      <td>VX6</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmc</td>\n",
+       "      <td>YFV</td>\n",
        "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
-       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
-       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>[SE]</td>\n",
-       "      <td>[AP=SE]</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
+       "      <td>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 16 4 4 4 4...</td>\n",
+       "      <td>[39*]c1cccc(/N=C2\\N=CN=[N+]3C=CC(C[42*])=C23)c1</td>\n",
        "      <td>1</td>\n",
+       "      <td>[FP, FP]</td>\n",
+       "      <td>[AP=FP, AP=FP]</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>AP</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
-       "      <td>ABL1</td>\n",
-       "      <td>Abl</td>\n",
-       "      <td>TK</td>\n",
-       "      <td>2gqg</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>B</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>AAK1</td>\n",
+       "      <td>NAK</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>8gmd</td>\n",
+       "      <td>ZRR</td>\n",
+       "      <td></td>\n",
        "      <td>A</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP GA SE</td>\n",
-       "      <td>14 14 14 6 5 5 14 14 14 6 na na</td>\n",
-       "      <td>[15*]Nc1ncc(C([41*])=O)s1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[GA, SE]</td>\n",
-       "      <td>[AP=GA, AP=SE]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP GA FP</td>\n",
+       "      <td>14 14 14 14 14 14 14 16 14 14 14 14 5 5 na na</td>\n",
+       "      <td>*Nc1ncnn2ccc([25*])c12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>[GA, FP]</td>\n",
+       "      <td>[AP=GA, AP=FP]</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>AP</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAbA0lEQVR4nO2de1hU1frHv8MdJMUElFvgFVFTBFMTr4VS50Cnp5osa9SM0GM6UJ4kr+DlUeooIVpHjqZOeazAjkfSUpBMwbyGgoQ+ysWfKIpylTvDzPv7Y48DAl5g9poZdH0e/2Dv2Xu97+z5uva6vOtdEiIChyM2JoZ2gPN4woXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAheWPkhLw7JlTYf/+hd++MFw3ugFM0M78ERw+zayspoOc3NRXW04b/QCr7E4TOA1lp44exazZmn+Pn0aM2YY1Bv2cGHpCQ8PzJ6t+buhwaCu6AUuLD3RvTtGjdL8nZBgUFf0Am9jcZjAayx94O6OF19sOhw5El27Gs4bvcBrLH3QpQtSU3HzpuawtBQ2NgZ1iD28xtIHJSX46SeYmeE//wGAM2fQpYuhfWIMr7H0xJgxyMnBoUOG9kNfcGHpCRMTbNiAefNQV2doV/QCfxXqj9GjMW4c/vlPzeHrr6NPH/zlLxg3DmaP3e/w2H0h4yYqCj4+GDQIpaXYswdEWLcOXbpg0iQEBSEoCE5OhnZRJPirUK/06IFly3DgAOzscPo0IiLg64vqauzbh9mz4eqKESPw6adISwORoX3VEeIwprqa/vyTFi7UHKpUNGMGJSc3XZCfT3FxFBhIVlYEaP45OpJMRvHxVFFxT2klJZSSQmq15vD8eSoq0svXaCdcWMwJCqJXX6Vbtx5+ZU0NJSeTXE5ubk0Ks7Iif3+KiqKLF4mIkpMJoK+/1tzy9tuUkMDQ+Q7DhcWWrVsJIDs7unq1HXep1fTHH7RqFY0aRSYmTSIbMoS++IJGj6beven2bSIjFhZvYzHkyhV8/DEAfPkl3NzacaNEAh8fLF2KEydQVIT4eMhksLNDVhbs7ODoiDlz8MknjLwWB94rZIVajVmzcOcOXn0V06Z1vBx7e0ilkEqhVOLECdTXA0BYGLy9cfSoWM6KD6+xWLFhAw4fhoMD4uLEKdDcHOPGaf62sMCmTQgLg0olTuGiw4XFhIsXsWQJAGzeDEdHJiZeeAEDB+LAASaF6w4Xlvg0NmLGDNTW4v338dprDA1FR8PEWH9ACXX6kTijIzISK1bAwwMZGeLHXSmVqK9HVRWystCrFzw8YGEBCwuRreiOsQq+05Kefm7v3uMmJti+nUk0n7k5bG2RmorJk7FiBWxtjVFV4MISl7q6OpnsnfPnx61a9fPEiQwNWVoC0PQQjRMuLDFZvHhxdnZ2//79P/poElNDXFhPEGlpabGxsWZmZgqFwtraWtzCt25F375Yu1ZzyIX1pFBdXT1z5kyVSrV06dKRI0eKXn5NDfLycOOG5pAL60khNDQ0NzfXx8dn8eLFLMpvoSQurCeCgwcPbtu2zdLSUqFQmJubszDBhfXEUVxcPHPmTCJau3btkCFDGFnhwnqyuHXr1ttvv33z5s0JEyaEhoayM8SF9URQW1ubkJAQFBTk6up67tw5CwuLRYsWmbCcXul0wuJhM+1AqVQmJSXt2rVr79691dXVACwsLKytrYuLiz/++OOTJ0/a2toyMt2lyx0fn0YHhzrAGYClpXLcuBxr6xrAl5FFXTF0pGHn4MyZM3K5vGfPntrn5uvrGxMTU1RUVFVVNXjwYABTp05l58DRo0cBjB07Vjisra0FYGlpyc6ijnBhPYjs7OyIiIj+/ftr9TRo0KCIiIicnJzml126dKlr164ANm3axMiTkydPAnjuueeEQ7VaDUAikai1yyqMjEcS1v79+2tqali7Yjxcv349JibGz89PqycXFxe5XJ6amnq/W3744QcA5ubmaWlpLFzKyMgAMHToUO0ZYVyjvr6ehTndebiwLl++LJFIunXrFhISkpWVpQefDEV5eblCoQgMDDS7uzDZzs5OJpMlJiY2Nja2vr64uLj5odArdHNzuy2scxCVixcvAvD09NSeEdpzd+7cEd2WKDxcWCdOnHjuueeEBy2RSKZMmbJnz542H3Qnpa6uLjExUSaTdbmbAsbS0jIwMFChUFRXV7e+/urVqzExMcOHD/fy8mp+vqGhYezYsQBefPFF0Z9Pfn4+AA8PD+2ZHj16AGAhYlF41DbWmTNnQkJCtI/eyckpPDz8arvWNBkZKpUqNTVVLpc7ODgIX8rExMTPzy8mJqbNX6u4uPjLL7/08/OTSCTC9Y6OjtevX29+TUFBgVDaihUrxPW2sLBQeOzaM87OzgCuXbsmriGxaF/jvbS0NDo6esCAAcKTNTc3f/PNN0vu3/IwZnx9mzrqw4cPX79+fZs/Um1tbWJiolQqtbgbUGdtbS2VShMTExsaGlpfn5KSYmpqamJi8ssvv4jobUlJCYCnn35ae6Z3794AcnNzRbQiIh3sFaampkqlUnNzc++ePcncnAYMoKgoKikR1zl2rF692tHR0cHBQS6Xp6ent75AqM9CQkKeeuopQU+mpqb+/v4KheKhzZqVK1cKIsjPzxfLYaVSGR8fn5SUpD0zcOBAANnZ2WKZEBedhhuuXbuWHh1NTk6ahbq2tjR7Np07J5Zz7JDJZAAUCkXrj7KyssLDw3v16tViyOrmzZuPWLhKpXr55ZcBjBw5kl2vbdiwYQDOnj3LqHwdEWMcq7GREhPJ358kEo3CfH0pLo6aj1AUFVFSEv36K5WXi2BRZ4KDgwFs2bJFeyY/P7/FkNXAgQNXrlzZsXdNaWmp8KqaP3++eF43UV5e3qdPHwApKSksytcdUQdIs7NJLqdu3TTycnCg8HAqLaUtW+iZZyg0lGbPJmdnOnBATKMd4sMPP2wxnvnNN98IenJ2dn7wkNUjcurUKUtLSwDffPONjkVpadGB7dmzp6ur66+//ipW+SLCYOS9tpYUCho+nADq1o1yc8nRkQoKNJ/+/ju5u1Ndnfh228PHH38MYP369dozlZWVwcHBhw4dEnGk4KuvvgJga2v7559/6lKOSqU6cuRISEhI9+7dm3dghWaWiYlJWFiYsY1gs5zSOX6cvv2WEhIoKOie815eZOiWwaJFiwCsWbOGtaEZM2YIA5sVLfJcPRpZWVkRERHCW6/5nFJeXh4RKZXKqKgoobvq5eV16tQpsd3vOOznCjdtovfeu+fM+PEGfxtGRkYCiIiIYG2oY1PUBQUFMTExzQdE3Nzc7teBzczMFBryZmZm4eHhRjLJw15Ye/fS5Mn3nPHwIN1eDbqzdu1aAJ9++qkebD36FHVZWZlCofD399eGdnXv3l0mkyUnJz94srm2tjY8PNzU1FSYTzxnBB1z9sK6c4ecnEj7X233bvL2JpWKud0HEh0dDeCjjz7SjzntFPWxY8daf9p6DNbKyiowMDA+Pr5d1c+RI0eErqiVlVVs7DbDPmO9hM388gu5u9Pf/kYBATRggDEMdH355ZcA5s6dqzeLcrm8xRS1dgy2692l+EKTPC4ursNTy9XV1XK5XCKRjB5dMGYMXb4s3hdoJ/qKx1Kp6MIFSk2lK1f0ZPGBbN26FcD777+vN4vNp6gzMzPDw8OdmqXeHjRoUFRU1I0bN0SxdfBgljBo/dRT1GyoTq/oMdBv82YCaNYs/Vm8P7t21dvZlc6aVcXUSosXWUFBQY8ePbRz2AAGDBgQGRl56dIl0U2XldG772rGEwMCSP9T1XoUVlISATRhgv4s3p/4eAJIKmVo4tq1ay4uLjExMdp2t1qt9vHxsbW1FYLbUlNTWcd/xsdTjx6a7LrffsvUVEv0KKzcXALIzU1/Fu/P3r0E0CuvsCpfrVa/9NJLAF5pZiM2NhaAg4NDYWEhK8OtuHmTgoI0VZdUSvfGJjJEj8JSKsncnExMDD7sTkQHDmjeEYzYuHEjAHt7e+3UdU5OjhDzuXv3blZW74NaTZs3k60tAeTiQnv2UHg4aaP2Dx+mpCSKj6cTJ5pu+ewzXfcl0O9iij59CNBkwjcohw8TQBMnMilcq6GEuynYlUrlqFGjAAhrpg1Cfj5NmEAARUaSuXnT2OKaNRQRQe+/f08z39OTLlzQyZx+F6wKUxN5eXo12hbsFnyq1eqZM2dWVVVNnz79jTfeEE5GRUWdPHnSxcVFGD8zCB4eSEnBN99oNu2xsMB33zE0p98Fq0+AsNauXZuWliY024Uz586dW7VqlUQi+frrr7WzyAbB1BQyGW7dAoDoaEyejJdfbvr08OGmB1Jerqst/dZYvXsDQH6+Xo22BSNhZWRkrFy5UiKRbN26VdBQfX39jBkzGhoa5s+fHxAQILI9HRgwAO++i6VLm85IJE3/dIfXWKJRX18/ffp0QUNClxDAsmXLMjMzPT0912qz8RkNS5Zg2DCMHo2+fQFg4kQEB2s+io3VtXDexhKN5cuXZ2Zm9u3bd82aNcKZ33//PTo6WkgeaWN8+9bb2GD9euzaxaRwvdZY6r59L4wfn2Np+Td9Wm0LKyt07467675E4Pfff1+/fr2ZmdnOnTuFLqE2eeSyZcuELqGRYGYGbRqvV17BrFlwcoJEgqefbrrG0xNWVrqZ0alP2X7s7OwA3HqU3fuYsWsXaaN5hcBpHamqqhKC5ZcsWaI9OXv2bADe3t5GEiDVgm3baMkShuFL+haWj48PgBPNB+P0zsSJ5Oio2e/v8mW6dz1zR5gzZ04LDSUlJUkkEktLy8zMTF1LZ8Nf/kIA7dvHqnx9J14TomzzDN3MCgjAwoXiFJWcnBwXFyckIBUCqsrLy4W4idWrVz/77LPimBGb4mIAsLdnVf4TKqy//x2nTomw359WQytXrhw6dOjdwv9eUFDg5+f30Ucf6WqAGY+bsIQQx3xDD2WZmWHjRsydi8ZGADh+HKtXIz293XvHh4WFCRpasGCBcGbPnj3ff/99ly5dduzYIcQKGyeshaXvNtbBgwcBTJo0Sc92mzNxIgnrWd55h+Ry8vKiDz98yN7x9yMzM9PPz0+bh62wsFBIAhMXF8fMfRGoryeJhMzNiV3Yjr6FdfnyZQDu7u56tktEjY20aBElJjYJ68YNsrcnLy9KSaGQEHJ1vWfv+IAA2riR8vLaYeKvf/0rgMmTJxttoj2BwkICqFcvhib0LayGhgYhGUudfoNnbt6kSZM0y7NffrlpbcemTTRqVNNlZ8/S6tU0evQ9e8cPGkRRUSm//fabUql8gIl///vfAOzs7Aq0q3ONlcxMAmjIEIYmDJCD1MPDAwCLeNz7kZpKzs4aVR069Ei3FBdTfDzJZGRnRwA9++wYAF26dAkMDIyLi2sdqZeXlyfkpfn+++/F/wJi8+uvDKOGBPQtrPr6+n79+gGYM2dOWVmZHizGxZG5OQE0fjx1IHJTqaTDh2nhwnBhPbuAqanpmDFj1qxZI6zgU6lUEyZMAPDaa6+J/wUYIERmv/EGQxN6FdahQ4eEn0eY9LCyspJKpW0utROFO3dIKiWAJBKSy6mtNGntIycnZ8OGDVOmTBGyfQi4ubk9//zzAJycnIr1FvmrG199RQDNmcPQhJ6Ede3atalTpwq/hEQimTVrlr+/v3a9yqhRoxQKRW1trYgWs7Np0CACqGtXuhvIKRrV1dXJyclyudzV1RWAmZmZm5vb/v37RTbDjHXrtvj6Bvzznz+wM8FcWEqlMiYmRrsmUyKRbNy4Ufjo8uXL4eHhQv8cgLB2RcfELALffVdkY0MAeXvTvSnZRUatVp85c2b79u167ovoiJDg+YsvvmBngq2wjhw50nxOw9TUdNu2bS2uqauri4+P1yZVNzEx8ff3j4+Pf3AX7H7U1dXJ5XJ7e8deva7JZNRW1mMOvfPOOwC+ZbkijJWwbty4IZPJmi/ONDU1fXAKshaJmZ2dncPDw9vVdc/LyxMytFhbW+/cyWx+tfMjxCH+/PPP7EyILyylUhkeHm5vb998S0gLC4v//ve/j3J7eXl5XFyckPpHuFEqlT403QoR7du37+mnnxZGX40qU5QRMmLECABMn5LIwjp16tTEiROdnJycnJwcHR2FdDxWVlbtbdiq1erk5GSpVKrdJMLT0zMqKqq0tLT1xY2NjREREYKtoKCgNq/hNEcYSsxr16xCOxFNWGVlZUuXLnVxcXFqRvfu3W1sbA494qBkWxQWFkZFRbm5uQnysrW1DQkJaZ4q+NatW5MnTxZetRERESpDJ0jqFOhhuxQRhKVSqeLj4wcPHuzUFkePHtXdRGNjY2JiYvMRCl9f37i4uEOHDgkbNDg4OCQnJ+tu6LFHpVJVVFQIbQymhnQVVnp6ekBAQJuS8vT0/OOPP0TxUsuff/45b968bt26CfKytrYGMGLECIVCYeTzvganoaFBoVAMHDhwyZIlQt+IqTkJtTcE6S4VFRXr1q3bsWOHSqVq/Wm3bt127do1fPjwjhX+ACorKz/77LP09PQbN25MnTq1rKxs+/btt2/fvn79ulB7cVpQW1u7devWdevWXb16FcCwYcMyMjKGDh0qbFXHio7psa6u7n7vPicnp2effZbdVhw1NTUSicTCwkKbN1tYA6N7ZvbHj8rKypiYGO3/t8GDBysUCiEkrnfv3m3ubSYWHYwg3bBhQ2lpaZsfOTo6JiQkeHl5dazkh2Jtbd2rV6+Ghobr168LZ4wk3NmoKCkpiYyMdHd3DwsLKyws9Pb2VigUGRkZ06dPnzJlSnBwcH5+vre39/Hjxxk58BBhVVZWzp49Ozs7u66ubu3atcuWLcvIyFiwYMGlS5ea7w6ixcXF5X//+5+npycbbzW0UBIX1j0UFqauWePu7r5ixYrS0tIJEyYcPHjw7Nmz06dP14ZKz5gxw9PT8/Lly2PHjg0NDa1nkMTiIcKKjo52d3cvLy/fvn37+PHjV61aNWzYsIULF9rY2Lz99ttCALsWJyen3bt3C2MkTGmhJCOJozc8V64gNBT9+o3ZtEmiVPr5+aWkpPz2229TpkzRXlJUVPTpp58GBAQ0NjYuX75cIpHExsaOGDHi7Nmz4vryIGH98ccfDg4O7u7uADIyMg4fPjxv3rxTp05dvHhx8eLF3bt337Jli9XdBbMODg779+8XLmaNICytkniNhexsTJ+O/v0RG4v6etNx4y6dPp2WlvbCCy9oL8nJyfnggw+eeeaZzz77rLa2dvDgwXK5/NixYwMGDMjKyho1alRkZGSb/bAO8oD210svvRQZGTlt2rTly5eHhYVVVFTcvn27RW70hISEoUOHDhky5NF3XdOdHTt2AJg2bZpweOXKFbDvPxsp586RTEampgSQuTnJZNSq23T+/HmZTCbMYZiYmAQGBp45c0b7aVVV1dy5c4UBwjFjxuSIFA3y8F7hzp07jx07lpaWFhYWtmDBgoMHD4piWBeOHj0KYPTo0cJhY2OjhYWFRCJh2s0xOlJTKTBQs5WfpSXJZK3Tuqenp0ulUkE0FhYWMpns4n3SKSYnJ7u5uTk4OPj6+m7atEn3CYyHC6uyslIIwauoqOjYTkOic+3aNQCOjo7aM0JPQpRYrs7B1auaWuqpp2jhQmr9ukhJqXjrLROJBICNjU1oaOhD40TKysqWL18uDBi99dZbOmbgNcBiCt1Rq9XCmLt2tkvIafbTTz8Z1jG2lJbSzz/Tzp10/jwR0bx5tGIFtZ5xT06m558XFhitnzRp8eLF7UrBsm/fPmGE0tPTU5eArU4pLCISxskyMjKEw6Tly49PmHB961bDesWQU6fIyYlCQ2n1aho+nFpv1qJSUWIi+fpq1qzZ21NERBuyewRu37793nvvCVVXcHBwSYe2+u6swioKDm5wc2vcs0dz/PnnBFBYmEGdYsnIkaQNaKuro759KS1Nc9jQQAoFeXpqJNWzJ0VF6R47m5iYOHDgQGEe5UD7twHsrMKi+fMJIO0Wqbt3s90RwLBUVpKV1T3r4T/5hFatIrWaNmwgNzeNpPr1oy1bSLx0XAUFBa+//rpQdf3444/tulffSUFEo0WeXKNJQsmEkhJ063ZP0tkePXD7NiQS/PQTCgowZAgUCly4gOBg3N2bTndcXV0TEhI+//xzLy+vgIAAYYC+oaEhNzd38+bNSqXyAffqN7mtiLRQkpCfNS8PROJk/TUqnJ1RVoaqKtjaas7k5kKYjV2zBvPnIyiI0beWSCTvvvvu66+/Pnfu3H79+lVXV48bN+7o0aM3bty4c+fOwvsnGeu0NVYLYXXtih49UFODoiIDOsUKc3O8+Sa0eZdzcpCYCKkUAJ57Dq+8wvr/UkNDQ2NjY2hoaHFx8QsvvKBSqTw8PLTbI7RJp62x+vaFRIL8fKjVEDa67dMHJSXIy0OvXoZ2jgHr12PaNHh7w94eV64gNhaurnozbmVlZWtr+49//MPV1dXMzOyDDz7o2rVr8+Xgrem0wrKxgaMjiopQWKh5xH364PRp5OVhzBhDO8cAR0ccOoSaGlRUoNkOmvrh9OnTI0eOfO+99+bOnVtTU9NmYEsLOu2rEK3eho93+13Axkb/qgLg7e2dmZm5YsWKPn36CEl1HkqnrbEA9OmD48eRl4fx4zWHeNyFZSBsbW2/+OKLdt3S+WusJ2TEobPRyWssZ2fcXdGKESOQmopHeP1z9EDHV+kYCzdvIioKZ8/C1hb+/pDLYcS5ip8cOvOrEEBjI6ZMgZMTfvwRMTFISrpnozSO4ejkNdaePYiNxeHDmsOiIvTvj6IiWFsb1C1OZ6+xLlyAj0/TYc+ecHAwho02OZ1cWKamaBH/r1SiWfokjqHo5MIaNgzNl1z+3/+huhrs159xHkonF1ZAAMzM8MknuHQJJ09i2jQsWsRrLGOgkzfeAVRUYONGpKfD1hYvvYRp0wztEAd4HITFMUo6+auQY6xwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjAhcVhAhcWhwlcWBwmcGFxmMCFxWECFxaHCVxYHCZwYXGYwIXFYQIXFocJXFgcJnBhcZjw/wP6C5H8b47GAAABkHpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAhIBYG4gZGdgcNIM3MzO5gAaIZmdkgAixwCYYMEM3EyMYAkeCA0EwwhQgarJCZEcFA18FgAqSZGFnYGBKADEZmDgYFkACDgQYjiM8BJCRBhGNJfq5faU6OhgyDNkxSD5skNwNnAgNXAgO3AiNzAiN7AhNzBhMTiwITRwILqwIrmwYTO0cCO1cGEwdnBhM3jwYTNy8DLz8DHz8DqwADryALowgTKwMnBzsXKyMzEwe7+COQRfAwOhPevH/v7Qn7QJyrd2fY9xraOoDYcSraDuvUWuxBbL9mDQd5LiWw+LugKofXe23sQOzEF0UOCVeX7wexXf1lHHo2/wKzJ1pvtPvNeges93X8QvuV69jB7BfOl+2mc5uC1byd2bF/4bbZYHHLw7wHvrnPBIu/lmU8cOWs9gEQ+3Z92oGpXApg8Wcflh4QnrgdrF5LtfjA+TkxYHYl90IHDSMusPrp3jMPBIodBasXAwBqpF+aSnAIYQAAAfx6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9VD1vWzEM3P0rNBewoJNIShwy+CMNisI2UDtdi6BLs2QK+vtLvtaRDAt9zwZE6o6kyNPLv+vLj5+/Xl7ftqvgz7f919f38PHk/cr86T8/VQ3fS0ppdQi+CNvHpy/HsLtstlfP7vR8vJwDWoAax95b7OZyOlw9CMewRkxZgBrWKeaWNUtIMS1P52ZDIkIpVzOisoB0githZ9tSKSkbIZVM5r3HkcUzXCkJZAsuaNImODZciQoUZNtGI0NOcGJ5S6zKVIofqQDQWYE1nCwfUS6lOVC5SaIJsFnEFAsJ2FoZK5pa6HucGg4xS7Iz2zb7dGaJkZaAhCx56XVNNafZWQBD+likQqsHh7A5J8jsyGwATgTnGIHn6Ysd3KAJlRi+kkZUpvnJo5YoCczkpUpmyLQAdijbXFhYrFQqBHNOkOL5fUQK8j42QZ2O3JT4KbBLRzh5oWAtN8cPh835/NA+CM0Ia7LQiWr1LnDRSnTHILlSHo/7m4vw92psT8d9vxpkfwwXYLHRhQ5/cxc0Oabr1s3W5UnGoC5CmMldar6rXVEwvgzCyRagDvIgo+ggArd7aTZq8iDjQLPDUIa5YfHQMB84EDLMAQtQhkbDKkEvRf+R7LJ8fnrA2N6xmW5fv1G2Xv0Bqm/yDvVvlGwAAAGselRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicZZGxbhsxEER/JaVkUARnubskTwjgQEjgKhaQwI2gQjlcEcS6MxwllT8+S7kRme44b5a3Mzzku+Nu9fFx/XXEfJgfjiON8+qqHHb39w/H1YH17rh+3K3HEfThbSU+RFJxG/KQEuG20aciHN0GPgLktuSZKXIVimStjgKYNXhkjsjVoolDcai32WwVYgxw5MUMyW3hUZiSCUUU4rbBR7aPbDMJudiM3R80kQkEFbwLpLbCJnjKVMj+bXsSJFy3QUlXG/mAxNcMmpnZpOg1QKROKgm02tiCBc51UmJJ77ZUCtiSZEVSS7IRCyWqtgVHBuqiDFJb3e5KIVHINQ1pSHVOYggWfO1Ol+W8f11ehuDPy/P35fJ0ep7mcfIw5fefHy/L+Gu6+G+f7TjNf3++LvN5mi9+Pg244Z/2drzlOlCLqcOxxbHBMnCLucF5kBZLh7XF2uHU4tTh3OLc4dLi0mGErpfQG/ri0Bu66kC9If73WLjt88u+nvvn6ipF22kc0JUK6Q1dreh7RVcsumbf/gEVXybPuH22NwAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" 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\" alt=\"Mol\"/></td>\n",
        "      <td>ABL1</td>\n",
        "      <td>Abl</td>\n",
        "      <td>TK</td>\n",
-       "      <td>2v7a</td>\n",
-       "      <td>627</td>\n",
+       "      <td>2f4j</td>\n",
+       "      <td>VX6</td>\n",
        "      <td></td>\n",
-       "      <td>B</td>\n",
-       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP AP AP A...</td>\n",
-       "      <td>8 8 8 8 8 5 5 6 6 8 8 8 8 8 8 8 8 8 8 3 3 3 3 ...</td>\n",
-       "      <td>[8*]C(=O)Nc1n[nH]c2cn(C(=O)[C@@H]([46*])OC)cc12</td>\n",
-       "      <td>3</td>\n",
-       "      <td>[SE, FP]</td>\n",
-       "      <td>[AP=SE, AP=FP]</td>\n",
-       "      <td>0</td>\n",
+       "      <td>A</td>\n",
+       "      <td>AP AP AP AP AP AP AP AP AP AP AP AP AP SE</td>\n",
+       "      <td>5 5 14 14 14 14 14 14 14 8 8 8 8 na</td>\n",
+       "      <td>[22*]Nc1cc(C)n[nH]1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>[SE]</td>\n",
+       "      <td>[AP=SE]</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -973,7 +982,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -993,7 +1002,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 70,
    "id": "b5a2b6e2-96ac-490f-ad02-b0aade624ea1",
    "metadata": {},
    "outputs": [
@@ -1026,45 +1035,45 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>164</td>\n",
        "      <td>145</td>\n",
-       "      <td>107</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>192</td>\n",
-       "      <td>97</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>235</td>\n",
+       "      <td>139</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>140</td>\n",
-       "      <td>95</td>\n",
+       "      <td>743</td>\n",
+       "      <td>169</td>\n",
+       "      <td>138</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>93</td>\n",
-       "      <td>79</td>\n",
+       "      <td>355</td>\n",
+       "      <td>101</td>\n",
+       "      <td>92</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>24</td>\n",
-       "      <td>5</td>\n",
+       "      <td>47</td>\n",
+       "      <td>20</td>\n",
+       "      <td>9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>30</td>\n",
+       "      <td>59</td>\n",
+       "      <td>38</td>\n",
        "      <td>5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>624</td>\n",
-       "      <td>388</td>\n",
+       "      <td>3505</td>\n",
+       "      <td>727</td>\n",
+       "      <td>528</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1072,16 +1081,16 @@
       ],
       "text/plain": [
        "       pre-filtered  reduced  custom\n",
-       "AP             1001      145     107\n",
-       "FP              862      192      97\n",
-       "SE              606      140      95\n",
-       "GA              306       93      79\n",
-       "B1               42       24       5\n",
-       "B2               42       30       5\n",
-       "Total          2859      624     388"
+       "AP             1201      164     145\n",
+       "FP             1100      235     139\n",
+       "SE              743      169     138\n",
+       "GA              355      101      92\n",
+       "B1               47       20       9\n",
+       "B2               59       38       5\n",
+       "Total          3505      727     528"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1137,13 +1146,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 71,
    "id": "e0b3eca8-a865-4c4c-8a17-62a122f24403",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1800x1000 with 3 Axes>"
       ]
@@ -1155,11 +1164,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2859 Pre-filtered fragments.\n",
-      "        Number of fragments excluded in both datasets: 1856\n",
-      "        Number of fragments included in the custom dataset and excluded in the reduced dataset: 226\n",
-      "        Number of fragments included in the reduced dataset and excluded in the custom dataset: 605\n",
-      "        Number of fragments in both datasets: 172 \n"
+      "3505 Pre-filtered fragments.\n",
+      "        Number of fragments excluded in both datasets: 2260\n",
+      "        Number of fragments included in the custom dataset and excluded in the reduced dataset: 337\n",
+      "        Number of fragments included in the reduced dataset and excluded in the custom dataset: 684\n",
+      "        Number of fragments in both datasets: 224 \n"
      ]
     }
    ],
@@ -1200,7 +1209,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 72,
    "id": "3825feaa-835d-442a-822d-18c6ea7f5dbd",
    "metadata": {},
    "outputs": [
@@ -1236,17 +1245,17 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>41.267014</td>\n",
-       "      <td>-13.753640</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>36.808029</td>\n",
+       "      <td>-19.877171</td>\n",
        "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
        "      <td>Nc1c[nH]c2ncccc12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>7.932777</td>\n",
-       "      <td>8.197802</td>\n",
+       "      <td>3.757519</td>\n",
+       "      <td>9.897005</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -1254,30 +1263,30 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>36.610126</td>\n",
-       "      <td>6.832931</td>\n",
-       "      <td>1</td>\n",
+       "      <td>56.473637</td>\n",
+       "      <td>0.848658</td>\n",
        "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>27.800512</td>\n",
-       "      <td>-4.882809</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
+       "      <td>52.569084</td>\n",
+       "      <td>0.841497</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>31.346588</td>\n",
-       "      <td>12.618166</td>\n",
-       "      <td>0</td>\n",
+       "      <td>39.164677</td>\n",
+       "      <td>-5.905485</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1285,21 +1294,21 @@
       ],
       "text/plain": [
        "           X          Y  reduced  custom  compare  \\\n",
-       "0  41.267014 -13.753640        0       0        0   \n",
-       "1   7.932777   8.197802        0       0        0   \n",
-       "2  36.610126   6.832931        1       0        2   \n",
-       "3  27.800512  -4.882809        0       0        0   \n",
-       "4  31.346588  12.618166        0       0        0   \n",
+       "0  36.808029 -19.877171        0       1        1   \n",
+       "1   3.757519   9.897005        0       0        0   \n",
+       "2  56.473637   0.848658        0       0        0   \n",
+       "3  52.569084   0.841497        1       1        3   \n",
+       "4  39.164677  -5.905485        1       0        2   \n",
        "\n",
-       "                             smiles  \n",
-       "0                 Nc1c[nH]c2ncccc12  \n",
-       "1  N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1  \n",
-       "2                    Cc1cc(N)[nH]n1  \n",
-       "3                     Nc1ncc(C=O)s1  \n",
-       "4     COCC(=O)n1cc2[nH]nc(NC=O)c2c1  "
+       "                                smiles  \n",
+       "0                    Nc1c[nH]c2ncccc12  \n",
+       "1     N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1  \n",
+       "2  CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1  \n",
+       "3                       Nc1ncnn2cccc12  \n",
+       "4                       Cc1cc(N)[nH]n1  "
       ]
      },
-     "execution_count": 16,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1318,18 +1327,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 73,
    "id": "3c363f66-90ca-4b82-8d3d-e620a9681a46",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1361,7 +1370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 74,
    "id": "9e736d0c-f313-497f-82cf-931743a99989",
    "metadata": {},
    "outputs": [
@@ -1396,6 +1405,8 @@
        "      <th>bool_bb</th>\n",
        "      <th>bool_syba</th>\n",
        "      <th>syba</th>\n",
+       "      <th>retro_count</th>\n",
+       "      <th>bool_retro</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -1411,6 +1422,8 @@
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>30.950959</td>\n",
+       "      <td>704.0</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -1424,67 +1437,82 @@
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>17.682659</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>Cc1cc(N)[nH]n1</td>\n",
+       "      <td>CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1</td>\n",
        "      <td>AP</td>\n",
        "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.488854</td>\n",
+       "      <td>0</td>\n",
        "      <td>1</td>\n",
+       "      <td>0.656515</td>\n",
+       "      <td>0</td>\n",
        "      <td>1</td>\n",
-       "      <td>15.727015</td>\n",
+       "      <td>0.611823</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Nc1ncc(C=O)s1</td>\n",
+       "      <td>Nc1ncnn2cccc12</td>\n",
        "      <td>AP</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.561340</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.563803</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>12.789242</td>\n",
+       "      <td>28.754427</td>\n",
+       "      <td>188.0</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>COCC(=O)n1cc2[nH]nc(NC=O)c2c1</td>\n",
+       "      <td>Cc1cc(N)[nH]n1</td>\n",
        "      <td>AP</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.723961</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
+       "      <td>0.488854</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>14.653939</td>\n",
+       "      <td>15.727015</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                             smiles subpocket  bool_pains  bool_brenk  \\\n",
-       "0                 Nc1c[nH]c2ncccc12        AP           1           1   \n",
-       "1  N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1        AP           1           0   \n",
-       "2                    Cc1cc(N)[nH]n1        AP           1           1   \n",
-       "3                     Nc1ncc(C=O)s1        AP           1           0   \n",
-       "4     COCC(=O)n1cc2[nH]nc(NC=O)c2c1        AP           1           0   \n",
+       "                                smiles subpocket  bool_pains  bool_brenk  \\\n",
+       "0                    Nc1c[nH]c2ncccc12        AP           1           1   \n",
+       "1     N/C(=C1\\C(=O)Nc2ccccc21)c1ccccc1        AP           1           0   \n",
+       "2  CC1=C2/C(=N/c3ccccc3)N=CN=[N+]2C=C1        AP           1           0   \n",
+       "3                       Nc1ncnn2cccc12        AP           1           1   \n",
+       "4                       Cc1cc(N)[nH]n1        AP           1           1   \n",
+       "\n",
+       "   bool_ro3  bool_qed       qed  bool_bb  bool_syba       syba  retro_count  \\\n",
+       "0         1         1  0.565900        1          1  30.950959        704.0   \n",
+       "1         1         1  0.747185        0          1  17.682659          NaN   \n",
+       "2         0         1  0.656515        0          1   0.611823          NaN   \n",
+       "3         1         1  0.563803        1          1  28.754427        188.0   \n",
+       "4         1         0  0.488854        1          1  15.727015          NaN   \n",
        "\n",
-       "   bool_ro3  bool_qed       qed  bool_bb  bool_syba       syba  \n",
-       "0         1         1  0.565900        1          1  30.950959  \n",
-       "1         1         1  0.747185        0          1  17.682659  \n",
-       "2         1         0  0.488854        1          1  15.727015  \n",
-       "3         1         1  0.561340        1          1  12.789242  \n",
-       "4         0         1  0.723961        0          1  14.653939  "
+       "   bool_retro  \n",
+       "0         1.0  \n",
+       "1         NaN  \n",
+       "2         NaN  \n",
+       "3         1.0  \n",
+       "4         NaN  "
       ]
      },
-     "execution_count": 18,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1504,15 +1532,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 75,
    "id": "4ff74927-95df-44ff-9d27-c243b7e39e06",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<Figure size 1500x2100 with 6 Axes>"
+       "<Figure size 1500x2100 with 7 Axes>"
       ]
      },
      "metadata": {},
@@ -1558,7 +1586,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 76,
    "id": "34ffd6af-a560-4e0e-9671-00adbf5cdc69",
    "metadata": {},
    "outputs": [
@@ -1566,13 +1594,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of molecules: 2506\n",
+      "Number of molecules: 3060\n",
       "Threshold:  0.6\n",
-      "Number of clusters:  458\n",
-      "# Clusters with only 1 molecule:  207\n",
-      "# Clusters with more than 5 molecules:  94\n",
-      "# Clusters with more than 25 molecules:  20\n",
-      "# Clusters with more than 100 molecules:  2\n"
+      "Number of clusters:  538\n",
+      "# Clusters with only 1 molecule:  251\n",
+      "# Clusters with more than 5 molecules:  112\n",
+      "# Clusters with more than 25 molecules:  24\n",
+      "# Clusters with more than 100 molecules:  3\n"
      ]
     }
    ],
@@ -1582,7 +1610,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 77,
    "id": "3d58e6e3-7e02-4443-918d-8a47c870c75c",
    "metadata": {},
    "outputs": [
@@ -1618,33 +1646,33 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>225</td>\n",
-       "      <td>Clc1cnc2[nH]ccc2c1</td>\n",
+       "      <th>16</th>\n",
+       "      <td>290</td>\n",
+       "      <td>Clc1cnc2nc[nH]c2c1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>14</td>\n",
+       "      <td>18</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>245</td>\n",
-       "      <td>Clc1cnc2nc[nH]c2c1</td>\n",
+       "      <th>17</th>\n",
+       "      <td>291</td>\n",
+       "      <td>O=c1[nH]c2ccc(O)cc2[nH]1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAU20lEQVR4nO3de3AT5foH8Cdp2rSFFrEXKIG2luHWg4DUCtIeubUVsYoHLHQGggeVAHKMNyRVLvEGjcI55qiHMSpolaGaOkMtomBUwCIIIqJYqHRaktorVnoJ0Hue3x+bpmlaQpvmzW76ez7TYZjNZvdJ8+3uu+8m7ytCRCDE3cR8F0AGJgoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZjw4mA1NUFBQZcltbVQXMxTNaQrLw7W2bMwcSK0t3cuycmBhQv5K4jY8eJgESGjYBEmJHwX0F/Z2SASWf9/8iSvpRA7Xh+svLzOYJWU8FoKseP1wcrOBh8f6//feQf+9z9eqyEdqI1FmKBgESa8OFiDBsFtt3U2sAAgNBQmTOCvIGJHhIh81+Ci5mbIz4dx42DUKOuSixehvh6mTOG1LAIAXn3EunwZkpPhH//o7Hzfswc2bOC1JtLBi4PFMZvpSlCIvD5YGg1s2gTl5XzXQbry+mDNmgXz5sGTT/JdB+nK6ztIAeA//4EJE+DAAb7r6IXS0tKPPvooJSVFJpONGDGC73IY8vojFgDIZKBWw1NPQVsbAMCZM7BlC9TW8l1WV0ePHl28ePHo0aM3btx4zz33TJ48+YBX/Cm4DL1WRQUC4OXLiIitrXjrrRgdjfPnY1oaAuDgwahUYmkpz0WazeYdO3bExsZyv20/P79FixbNmDEDAMRi8ebNm9va2ngukY0BEixEzM9HkQjnz8dDh/DuuxEAAdDPDx9+GAsLeSivqKhIpVLdfPPNXKSGDx+uUqn++OMPRLRYLFqt1tfXFwBmzZpVUVHBQ33XU1OD772HGzbga6/hmTPWhWYzarV45UrnasXF+M47TjbjlcH6/XecPRvPncO0tC4v9uWXcetW6/9/+QXlcpRIEADFYkxNxePHPVFbe3u7wWBIS0vz6bg3HhcXl5WV1dLS4rDm4cOHuWZWeHj4V1995YnibujYMbz5Zpw5E1UqXL4cAwIwIwMRsbQUAbC8vHPN3FwMD3eyJe8LVkkJymQIgGvX9mplpRIDAqwHsIQEzMtDi4VJYfX19TqdbkLHTSWpVCqXy3/++WcnT7l06VJKSgoA+Pj4qNXq9vZ2JpX1UksLRkXhU091LvnhB/TxQYNh4AeruhrHjUMAnD0bGxv78Cy1GocOtcZr0iTMysLWVrdVdf78eaVSOWjQIC5SMTExGo2mpqamN8+1WCwajYY7vM2ZM6eystJtZfXVsWMoFmNtbZeFCxbgP/85wINVV4dTpiAATpni+PJ7o6EBtVrr0S4srH38+ClarfbatWsu19Pe3p6Xl5eUlCTquBOekJCg1+tb+57Zb7/9dvjw4QAgk8ny8/NdLqlfPvwQZTLHhc89hzNmWIOVno4rVlh/5s4dIMG6ehUTExEAx47F6mrXt9PUhDodLlq039amzszMrKur69NGqqurNRpNZGQkt5GgoCCFQvHbb79df6dNer0+MTGxpKTEyTaTkpIAQCKR8HNa/OADHDnSceGGDThnjjVY27bhO+9Yf9auHQjBam7GefMQACMj0WRywwa5g820adNsyVAqldwlm3OnTp1SKBQBAQHcE8eMGaPRaGqvf/w0Go0ZGRmhoaHc+ps3b3ay8ba2NrVaLRaLAeDee+/t5cm0v2pqUKPB11/H/Hz08elyNYSIixfjypUD81TY1mbtmgoPd3/HQX5+fmpqKncu8/Pzk8vl58+f775ac3OzXq9PSEjg8iEWi5OSkvLy8izXvxDIz89PS0uTSKz3NqZOnarT6a5evXrDkr7++uthw4YBwKhRo77//vt+vTznTp9GhQIDAxEAQ0OxthbDwzEzs3OF4mKUSvGzzwZgsCwWfOQRBMAhQ9DpBVa//Pzzz3K5nGtBi8Xi1NTUH374gXuooqJCrVaHhYVx+RgyZIhSqbx48eL1NmU2m3U63a233mrrEU1LSzMYDH2q548//uBCLJFINBqNk/i6orkZ9XpMSrJey4jFmJSEej22teG+fSiV4ooVuHMnvvQShoXh8uWIA7G74ZlnEAADA9EDLdoLFy6sXLlSKpXaWuLJycn2h5xdu3Y1Xv9a1EmPqAtaW1ttp8X777//sq0juD+qqlCjwVGjrJEKDkaFAs+d67JOYSE+/zwuWYKrVuFnn1n7ZurqcN06rK/vXK2gAF980cmuBB2sbdt2DhlSK5ViH//g+6W6ulqtVt90000SicTPz++Gh5ze94i6IC8vj0tqZGTk8f708J46hQoF+vtbIzVunGNPurv1LliNjdjH66b+02q1ABAbG7d3r/t6nHqtsLCQO/E56VhyoUfUBaWlpXfeeScA+Pr6ajSaPj332rVrO3fuNC1ebM2TRIKLFuGhQ+6tsEc3CtaJEzhjBorF6OeHw4bhli3IXQa748/RiQ8//FAsFotEovfee4/pjq7n2LFjABAfH9/jo/3pEXVBa2urSqXirjAeeOABJxehNuXl5Wq1mrsaVU6ejOHhqFKh0ciowu6cBuv333HQIHzuOaytxdZWNBgwIgKffx4R8fXXUSrFmBhMSkKFAtVq1OnQYMDiYux3B0xubi7Xstm+fXs/N+WyPXv2AEBaWprD8h9//PGuu+7i8iQSiVJSUvLy8jzT55Sbmzt06FAAiIqKOnHiRI/rWCwWg8GwYMEC23k5Pj4+KysLm5o8UKE9p8FavRpnzuyyJDsbAwLQbMaMDOvRtfuPVIpjx2JKCq5caX7ttd27dx89erSsrKyXv/1vvvnG398fAF544QXXX1a/ZWZmAsCzzz7rsPy3334TiUQ37BFlxGg0cn1vUqlUq9XaP9TQ0KDT6SZOnNifq1E3chqs6dO79GogYn09AuDp04iIjY1YXIwGA+p0qFKhXI5JSRgTgyKRLWQnOz6HxDURYmJiEhIS0tLSVCqVTqczGAzFxcX2N0BOnDgxePBgAFjbmzvMLK1evRoA3nrrre4Pffrppw0NDZ4vidPU1KRUKrlf6cKFC+vq6i5cuKBSqbiDGQBERESoVKqysjK+KuQ4DVZ0NHZv4vj74759zp519SoWFOD+/bhjx6+ZmUuWLJk+fTp3I6xHvr6+t9xyS3l5+dmzZ7kroGXLlvF8nx9x3rx5ALDP+SvlT3Z2dlBQEACEhITY7lTOnDkzJyfHhTuVLDj9zHtEBFy61GVJQwM0NcHIkc6eFRgIsbEQGwsAtwJ83LG4paWlrKyspKSkoqKisrKypIPJZDKZTPX19SkpKZcvX77//vvff/99rv+GR0ajEQCio6P5LeN60tPTp06dOnfuXB8fH7PZvGTJkmeeeWby5Ml812XHWepWr8ZZs7os+fhjDAx0b/9HU1PTsWPHbrnlFgCYM2eOkx5Ij7FYLIGBgQDA4ymvN5YsWQIAb7/9Nt+F9MBpsAoLMSAAX3rJ+tGnY8dw1Ch87jksLMTUVPzXv3D7dszJwZMn8dIllyuwWCzx8fEAMG3aNLPZ7PJ23KiqqgoAQkJC+C7kBrjPzn/33Xd8F9IDp6fCcePgq69AqYSXXoJBg0AkAqUSNm+GL76Azz93XDkwEKKjrT9RUdy/NVFRoddvXXEaGxvHjBlTUFCwd+9eruXOO4GfB224OqOiovgupAc3+l5hYiKcPg21tXD1KgwfDtyNs2nTIDcXjEa4eBFMJjCZwGiE2lo4dw7OnbN/dszgwS2trTKZLCYmJiIiYsSIETEdoqKiuL4WqVR69uzZa9euZWdnP/3006xeaF+YTCYQWLD0ev3777+/dOnSZcuWcUtaWlqqqqp8fX1lMhm/tfWod19YHToUOq5mAQDCw2HBAsd1GhrAaASTyZo2o7Hhzz+l58+br1zhGukOq0ul0sjIyOjo6KioqJUrVyqVyldeeeWhhx4KCQnpz+txCwEeCU6fPn3gwIHExETbEpPJZLFYbH+fQuO+b0IHB8OkSTBpUucCgD8BmpqaKioqbNeAtktCo9FYVFRUVFQEAAcPHkxOTjYYDJmZmdu3b3dbSa7ijliCClb3g6jAz9fMv2Lv7+/Pnfscljc2NhqNRqPRaDKZpkyZsm3btqlTp7755ptr1qwZPXo066qcE+B71v0gKsAi7fE2dkNAQMCECRNsHw0IDw+Xy+VZWVkbN27Mzs7mqyqOANtY3WMkwMOqPQGN3bBly5bAwMBPPvmE+2QBj0pLS0FI71lTU1N1dbWvr29ERIRtoQDTb09AwZLJZE8++SQirlu3DvkbwLKmpsZsNg8dOnTIkCF81eDAZDIhYmRkpH07XYBXGPYEFCwAyMjIGD58+PHjx3Nzc/mqQYBvWI/NKYG3sYQVrKCgoE2bNgFARkZGa2srLzUI8A3rftZrbW2trKz08fEZ6fy+LX+EFSwAUCgUsbGxFy5c0Ol0vBQgwLZL93Z6aWlpe3v7yJEjbd/1EBrBBUsikWzduvVvf3tYr19aX89DAQK82up+dhZg+h0ILlgAsGDBgtDQnfn5QzUaHvbuFW0sARbpQIjBAoBt20AkAq0WSks9vWuvaGPREctF8fGQng5NTbBpk6d3LbT3rKWlpbKyUiKR2A+GS0cs123dClIp7N4NP/3kuZ1evny5oaEhODh4qP1Nd16VlpZaLJZRo0bZt9MFeFh1INxgRUfD44+DxQLr1nlupwJ8w3o8OAntsNqdcIMFABs2QEgIHD4M+/d7aI8CfMO6Z72tra28vFwsFgu2EwsEHqybboKNGwEA1q2zjuHOmgDbLt27P8rKytra2mQymZ+fH3913YCggwUAjz0GY8ZAYSHs2uWJ3V2vE+vPP/9cuHBhqeevUb2zrwGEHyw/P9iyBQBg0yZoaGC+u+u1sdavX793796pU6fu99hZuYPXfcSPI/RgAUBaGiQkwKVL8O9/M9l+fX39kSNHtFrtQw89ZDAYAKClpcVhHa1W++CDD/7111/33XffE0884cn7mN7Y7Q7gJVOeHD2Kvr64fr17tlZbW5ufn6/VauVyeWxsrMOXYyUSSUBAQPdRbrjpJLhmzR133OFkUD83amlp8fHx8fHxsR9ta8WKFQDw7rvveqAAlwkuWKdPO36D32DA48fx8GHU6bqM0rV3LxYU9GqbRiPu3//L5s2bU1NTu3+nxd/f/4477li1apVOpzt69OjatWu55cuWLbvS7au5J0+e5A4VoaGhX3zxRT9f7A21trYaDIY9e/bYL5w9ezYACGUyi+sQXLC2bMHZs7ssefBBfPpp1OkQAB9/vHP59Om4Y0fPGykvx7w8VKsxNRXDwxEAExM/sCUpKCgoISFBqVTqdLr8/PymbkP87N69m/uG4/jx43/99VeHR2tqaubPnw8AIpFIqVS6ZeS+PuG+NX7hwgUP77dPvClYY8ZgcDCePGldbgtWSwueOYO7duHjj2NiIg4e7DiwUng4Ll1anJGRodfri4qKejNWbGFh4aRJkwAgICCg+0nHfpalmTNnltuP+spYW1ubr6+vSCQSwlgETnhTsBIS8OWXMS4OuZnYuGDNmYNSqWOSIiNxwQJ88UXMy0NXR5fFxsZGhULBHeTkcnn3kbSPHDnC3b8LCws7ePCgi7vpI67lPmLECM/szmVCDJZMhmvWdP6MHt0ZrGvXMCYG//tfxI5gzZyJABgRgampqFZjXh5WVbmznqysLG5IyAkTJnQfae3SpUt33303d1pUqVQemHzwyJEjADBjxgzWO+onIXY3BAbC+PGdP0FBnQ8FBMAbb8CmTVBZaV3ywQfQ0AAVFbBvH7zwAtx3Hwwb5s5ili9ffurUqYkTJ54/f3769OkOX00LCwv78ssvNRqNWCx+9dVXk5OTuQFFWGhubs7JyXnsscdkMpmwRizqEd/JduT8VMh54AFcscJZ493tzGbz0qVLud9Yj6fFQ4cOcd/NCg8Pd/sAjRcvXly/fr1t8IG4uDj3bp8FrwyW0YhBQRgW5rlgcbKysrhxs2677baioiKHR6urq5OTk8Gtkw86zJsSFxen0+n6M2OZx3hlsBBx61YE8HSwELGgoICb4DkoKOjjjz92eNR+lqW5c+dWudrcE9pItS4QXLAOHsQ33uiyZOdO3LsXv/sOX321c2FzMyqVePiwh6tDRGxoaEhPT+fecoVC0dzc7LDCgQMHuLl3br/99r5Og8PNm2L7mCE3bwrvI9W6QHDB8hZZWVnc5HJxcXHFxcUOj5aVld1111297xzn5k2xzUMGbp03hRcULNf99NNP3MA4wcHBOTk5rm2krq5Oq9VynekA4O/vL5fLz9imj/daFKx+qa+vT0tLg47bO91Pi054eN4UD6NguYFOp+M+9RAfH+9kcl5OW1sbN5M0lyeRSJSUlKTX6z3QuepJFCz3+PHHH7nTWUhIyOeff97jOlVVVfYzSQcHBysUioJefkLD21Cw3Kaurm7RokXQ06ceuJmkuTmCAGDs2LFarVYgY48zQsFyJ/tPPfz9738vKSnR6/XcaOzQu5mkBwwR8jfE2UD1/fffp6enl5WVDR48+MqVKwAQFhb2yCOPrFmzxnYeHPAoWEzU1NQ8+uijo0ePPnz48KpVq5YtW8bdC/r/g4LFUHt7uzAHYfcAChZhQoifxyIDAAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMPF/za+0B1b9ZSsAAAEDelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAG4g5gHiBkYOBg0gzczE5gCmWdgdLEA0IzNMgM0hA0QzMyIxIDIcDGABRkwZuCHcDIwaTIxMCUzMCcwsGUwsrAmsbBlMbOwKbBwJHJwZTJxcCVyMCZzMCSJMrIxMzJxcbCysbByczOJ9QP2McNceCm08kH9mpx2IszJV+UDhCzMw2/TBy/1L1SfuB7F9K7buu5wRCWYf2BZun5j+AMwuCOVzWNg3FcwuV5ByiPuyGKzXvKPIYcPqdHsQu5p9tj3/hjlgtp6D3r6565TB7Lxth/fPVF8MZosBAIaLOehVYdcZAAABUHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2SXW7DIAzH33MKX6DIXxh4bJtqmqam0tbtDnvf/TW7UUuqoUGMDPww+O9MEO19fvv+gUfjeZoA8J+vtQZfgojTGcKBw+nldYHjdX+4rxwvn8v1A4iA2M94f2b318v5vkJwgZ0mVCrUAJMY11rdwVvrRxmOsOOUs2D15USlGtMAFFhgR6lyoZzDI1FkHpAaIf3KrCoSXtXG2QZkdjK22YQjZMkSwf+C5iAnZmm23m1VaQSWG6hYWSIJYX+iDrjq+kgqtWWL7YbabMQ1j0eJicgsHFZiGXCEa9JUkKw4YNKkDklahczcEHPELGo6Uue0zE81Xat8uCxzrzKH9Vqqm/SKaVgvS/TctfcJWFdY3UrXkdxql0t92roq6kbb7DUGok2WGsPjbcQrotvstrnE/P63uz/9AirZnMKQ5GRLAAAAtXpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nCWOsQ7DMAhEf6VjIjkWHBiwrO7d8gFVJ+/9gnx8cTpxPO50nM/J7+/rMzHn3M59TqyVH9d2aCVlR6Eqhogo40BtTSgSsYeBE3ENOLeSgkUJiTLQVEVKqtCOZmUsBRMsnzfJwEAFpNudtLwuohSQ1QgCtAypHj3zVDtptyRcwcxeckL5X8dObJ4mky4h91cNfXlcrZX9+gFGSDDFGJSd/wAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>15</td>\n",
+       "      <td>19</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>247</td>\n",
+       "      <th>18</th>\n",
+       "      <td>301</td>\n",
        "      <td>Cc1cccc2nc[nH]c(=O)c12</td>\n",
        "      <td>1</td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>16</td>\n",
+       "      <td>20</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1655,7 +1683,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1667,7 +1695,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 78,
    "id": "89b56c7e-7d94-4271-a7ad-b8ea2f32534c",
    "metadata": {},
    "outputs": [
@@ -1800,16 +1828,20 @@
        "<path class=\"bond-10 atom-8 atom-4\" d=\"M 84.4,54.2 L 80.8,73.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-5 atom-5 atom-6\" d=\"M 59.3,73.2 L 55.8,65.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-5 atom-5 atom-6\" d=\"M 55.8,65.8 L 52.2,58.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 52.2,58.4 L 66.8,44.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 57.2,59.3 L 67.4,49.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 66.8,44.6 L 84.4,54.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 61.9,69.2 L 59.4,64.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 59.4,64.1 L 56.9,58.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 52.2,58.4 L 58.2,52.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 58.2,52.8 L 64.1,47.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 69.4,46.0 L 76.9,50.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 76.9,50.1 L 84.4,54.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-8 atom-8 atom-9\" d=\"M 84.4,54.2 L 103.3,47.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-8 atom-8 atom-9\" d=\"M 88.6,56.9 L 101.8,52.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"atom-0\" d=\"M 135.3 53.9 Q 135.3 52.5, 135.9 51.8 Q 136.6 51.1, 137.8 51.1 Q 139.0 51.1, 139.6 51.9 L 139.1 52.3 Q 138.6 51.7, 137.8 51.7 Q 137.0 51.7, 136.5 52.3 Q 136.1 52.9, 136.1 53.9 Q 136.1 55.1, 136.5 55.6 Q 137.0 56.2, 137.9 56.2 Q 138.6 56.2, 139.3 55.8 L 139.5 56.4 Q 139.2 56.6, 138.8 56.8 Q 138.3 56.9, 137.8 56.9 Q 136.6 56.9, 135.9 56.1 Q 135.3 55.4, 135.3 53.9 \" fill=\"#00CC00\"/>\n",
        "<path class=\"atom-0\" d=\"M 140.3 50.7 L 141.1 50.7 L 141.1 56.8 L 140.3 56.8 L 140.3 50.7 \" fill=\"#00CC00\"/>\n",
        "<path class=\"atom-3\" d=\"M 94.8 84.0 L 96.6 87.0 Q 96.8 87.3, 97.1 87.9 Q 97.4 88.4, 97.4 88.5 L 97.4 84.0 L 98.2 84.0 L 98.2 89.7 L 97.4 89.7 L 95.4 86.4 Q 95.2 86.0, 94.9 85.6 Q 94.7 85.2, 94.6 85.0 L 94.6 89.7 L 93.9 89.7 L 93.9 84.0 L 94.8 84.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 53.6 73.7 L 54.4 73.7 L 54.4 76.1 L 57.3 76.1 L 57.3 73.7 L 58.1 73.7 L 58.1 79.3 L 57.3 79.3 L 57.3 76.7 L 54.4 76.7 L 54.4 79.3 L 53.6 79.3 L 53.6 73.7 \" fill=\"#0000FF\"/>\n",
        "<path class=\"atom-5\" d=\"M 59.6 73.7 L 61.5 76.7 Q 61.7 77.0, 62.0 77.5 Q 62.3 78.0, 62.3 78.1 L 62.3 73.7 L 63.0 73.7 L 63.0 79.3 L 62.3 79.3 L 60.3 76.1 Q 60.0 75.7, 59.8 75.2 Q 59.6 74.8, 59.5 74.7 L 59.5 79.3 L 58.7 79.3 L 58.7 73.7 L 59.6 73.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 65.5 41.8 L 67.4 44.8 Q 67.6 45.1, 67.9 45.6 Q 68.2 46.1, 68.2 46.2 L 68.2 41.8 L 68.9 41.8 L 68.9 47.4 L 68.2 47.4 L 66.2 44.2 Q 65.9 43.8, 65.7 43.3 Q 65.4 42.9, 65.4 42.8 L 65.4 47.4 L 64.6 47.4 L 64.6 41.8 L 65.5 41.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 64.6 35.5 L 65.3 35.5 L 65.3 37.9 L 68.2 37.9 L 68.2 35.5 L 69.0 35.5 L 69.0 41.2 L 68.2 41.2 L 68.2 38.6 L 65.3 38.6 L 65.3 41.2 L 64.6 41.2 L 64.6 35.5 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 159.4 L 50.0 159.4 L 50.0 151.0 L 47.3 151.8 L 46.9 150.9 L 50.4 149.3 L 51.5 149.5 L 51.5 159.4 L 53.7 159.4 L 53.7 160.7 L 47.5 160.7 L 47.5 159.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 148.3 L 60.5 148.3 L 60.5 163.8 L 59.1 163.8 L 59.1 148.3 \" fill=\"#000000\"/>\n",
@@ -1825,36 +1857,36 @@
        "<path d=\"M 108.0 149.4 Q 109.9 149.4, 110.9 150.3 Q 111.9 151.1, 111.9 152.7 Q 111.9 154.3, 110.9 155.2 Q 109.9 156.1, 108.0 156.1 L 106.2 156.1 L 106.2 160.7 L 104.6 160.7 L 104.6 149.4 L 108.0 149.4 M 108.0 154.8 Q 109.1 154.8, 109.7 154.3 Q 110.3 153.7, 110.3 152.7 Q 110.3 151.7, 109.7 151.2 Q 109.1 150.7, 108.0 150.7 L 106.2 150.7 L 106.2 154.8 L 108.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 112.4 148.6 L 113.5 148.6 L 113.5 152.0 L 112.4 152.0 L 112.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 148.3 L 117.2 163.8 L 113.8 163.8 L 113.8 162.7 L 115.9 162.7 L 115.9 149.5 L 113.8 149.5 L 113.8 148.3 L 117.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 304.8,54.7 L 296.7,57.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 296.7,57.6 L 288.6,60.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 288.6,60.5 L 284.9,80.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 284.1,62.7 L 281.5,76.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 273.3,47.5 L 288.6,60.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 284.9,80.2 L 276.8,83.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 276.8,83.1 L 268.7,85.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 263.4,84.6 L 257.1,79.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 257.1,79.2 L 250.8,73.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 264.1,80.0 L 259.7,76.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 259.7,76.2 L 255.3,72.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 250.8,73.9 L 242.2,75.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 242.2,75.0 L 233.5,76.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-8 atom-4\" d=\"M 254.4,54.2 L 250.8,73.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 229.3,73.2 L 225.8,65.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 225.8,65.8 L 222.2,58.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 231.9,69.2 L 229.4,64.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 229.4,64.1 L 226.9,58.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 222.2,58.4 L 228.2,52.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 228.2,52.8 L 234.1,47.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 239.4,46.0 L 246.9,50.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 246.9,50.1 L 254.4,54.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 254.4,54.2 L 273.3,47.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 258.6,56.9 L 271.8,52.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 305.3 53.9 Q 305.3 52.5, 305.9 51.8 Q 306.6 51.1, 307.8 51.1 Q 309.0 51.1, 309.6 51.9 L 309.1 52.3 Q 308.6 51.7, 307.8 51.7 Q 307.0 51.7, 306.5 52.3 Q 306.1 52.9, 306.1 53.9 Q 306.1 55.1, 306.5 55.6 Q 307.0 56.2, 307.9 56.2 Q 308.6 56.2, 309.3 55.8 L 309.5 56.4 Q 309.2 56.6, 308.8 56.8 Q 308.3 56.9, 307.8 56.9 Q 306.6 56.9, 305.9 56.1 Q 305.3 55.4, 305.3 53.9 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-0\" d=\"M 310.3 50.7 L 311.1 50.7 L 311.1 56.8 L 310.3 56.8 L 310.3 50.7 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-3\" d=\"M 264.8 84.0 L 266.6 87.0 Q 266.8 87.3, 267.1 87.9 Q 267.4 88.4, 267.4 88.5 L 267.4 84.0 L 268.2 84.0 L 268.2 89.7 L 267.4 89.7 L 265.4 86.4 Q 265.2 86.0, 264.9 85.6 Q 264.7 85.2, 264.6 85.0 L 264.6 89.7 L 263.9 89.7 L 263.9 84.0 L 264.8 84.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 229.6 73.7 L 231.5 76.7 Q 231.7 77.0, 232.0 77.5 Q 232.3 78.0, 232.3 78.1 L 232.3 73.7 L 233.0 73.7 L 233.0 79.3 L 232.3 79.3 L 230.3 76.1 Q 230.0 75.7, 229.8 75.2 Q 229.6 74.8, 229.5 74.7 L 229.5 79.3 L 228.7 79.3 L 228.7 73.7 L 229.6 73.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 235.5 41.8 L 237.4 44.8 Q 237.6 45.1, 237.9 45.6 Q 238.2 46.1, 238.2 46.2 L 238.2 41.8 L 238.9 41.8 L 238.9 47.4 L 238.2 47.4 L 236.2 44.2 Q 235.9 43.8, 235.7 43.3 Q 235.4 42.9, 235.4 42.8 L 235.4 47.4 L 234.6 47.4 L 234.6 41.8 L 235.5 41.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 234.6 35.5 L 235.3 35.5 L 235.3 37.9 L 238.2 37.9 L 238.2 35.5 L 239.0 35.5 L 239.0 41.2 L 238.2 41.2 L 238.2 38.6 L 235.3 38.6 L 235.3 41.2 L 234.6 41.2 L 234.6 35.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 210.4,61.2 L 218.8,62.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 218.8,62.2 L 227.2,63.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 210.9,57.2 L 219.3,58.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 219.3,58.2 L 227.7,59.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 227.4,61.2 L 231.3,68.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 231.3,68.3 L 235.3,75.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 238.4,49.4 L 232.9,55.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 232.9,55.3 L 227.4,61.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 239.8,78.3 L 248.3,76.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 248.3,76.6 L 256.8,75.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 256.8,75.0 L 272.8,87.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 261.6,73.6 L 272.8,82.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-9 atom-3\" d=\"M 259.3,55.1 L 256.8,75.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 272.8,87.1 L 291.3,79.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 291.3,79.2 L 293.7,59.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 287.6,75.8 L 289.4,61.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 293.7,59.3 L 301.4,56.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 301.4,56.1 L 309.1,52.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 293.7,59.3 L 277.7,47.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 277.7,47.3 L 259.3,55.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 276.5,52.1 L 263.6,57.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 259.3,55.1 L 251.5,51.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 251.5,51.5 L 243.8,47.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 204.9 58.8 Q 204.9 57.4, 205.6 56.7 Q 206.3 55.9, 207.5 55.9 Q 208.8 55.9, 209.4 56.7 Q 210.1 57.4, 210.1 58.8 Q 210.1 60.2, 209.4 61.0 Q 208.8 61.7, 207.5 61.7 Q 206.3 61.7, 205.6 61.0 Q 204.9 60.2, 204.9 58.8 M 207.5 61.1 Q 208.4 61.1, 208.8 60.5 Q 209.3 59.9, 209.3 58.8 Q 209.3 57.7, 208.8 57.1 Q 208.4 56.5, 207.5 56.5 Q 206.6 56.5, 206.2 57.1 Q 205.7 57.7, 205.7 58.8 Q 205.7 59.9, 206.2 60.5 Q 206.6 61.1, 207.5 61.1 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-2\" d=\"M 229.9 75.9 L 230.6 75.9 L 230.6 78.4 L 233.5 78.4 L 233.5 75.9 L 234.3 75.9 L 234.3 81.6 L 233.5 81.6 L 233.5 79.0 L 230.6 79.0 L 230.6 81.6 L 229.9 81.6 L 229.9 75.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 235.9 75.9 L 237.7 79.0 Q 237.9 79.2, 238.2 79.8 Q 238.5 80.3, 238.5 80.4 L 238.5 75.9 L 239.3 75.9 L 239.3 81.6 L 238.5 81.6 L 236.5 78.3 Q 236.3 78.0, 236.0 77.5 Q 235.8 77.1, 235.7 76.9 L 235.7 81.6 L 235.0 81.6 L 235.0 75.9 L 235.9 75.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 309.6 51.5 Q 309.6 50.2, 310.2 49.4 Q 310.9 48.7, 312.2 48.7 Q 313.4 48.7, 314.1 49.4 Q 314.8 50.2, 314.8 51.5 Q 314.8 52.9, 314.1 53.7 Q 313.4 54.5, 312.2 54.5 Q 310.9 54.5, 310.2 53.7 Q 309.6 52.9, 309.6 51.5 M 312.2 53.9 Q 313.0 53.9, 313.5 53.3 Q 314.0 52.7, 314.0 51.5 Q 314.0 50.4, 313.5 49.9 Q 313.0 49.3, 312.2 49.3 Q 311.3 49.3, 310.8 49.9 Q 310.4 50.4, 310.4 51.5 Q 310.4 52.7, 310.8 53.3 Q 311.3 53.9, 312.2 53.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-7\" d=\"M 315.5 48.7 L 316.2 48.7 L 316.2 51.1 L 319.1 51.1 L 319.1 48.7 L 319.9 48.7 L 319.9 54.4 L 319.1 54.4 L 319.1 51.8 L 316.2 51.8 L 316.2 54.4 L 315.5 54.4 L 315.5 48.7 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-10\" d=\"M 239.8 43.8 L 241.7 46.8 Q 241.9 47.1, 242.2 47.6 Q 242.5 48.1, 242.5 48.2 L 242.5 43.8 L 243.3 43.8 L 243.3 49.4 L 242.5 49.4 L 240.5 46.1 Q 240.2 45.8, 240.0 45.3 Q 239.8 44.9, 239.7 44.7 L 239.7 49.4 L 238.9 49.4 L 238.9 43.8 L 239.8 43.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 238.9 37.5 L 239.6 37.5 L 239.6 39.9 L 242.5 39.9 L 242.5 37.5 L 243.3 37.5 L 243.3 43.2 L 242.5 43.2 L 242.5 40.6 L 239.6 40.6 L 239.6 43.2 L 238.9 43.2 L 238.9 37.5 \" fill=\"#0000FF\"/>\n",
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        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 229.1 148.3 L 230.5 148.3 L 230.5 163.8 L 229.1 163.8 L 229.1 148.3 \" fill=\"#000000\"/>\n",
@@ -1914,36 +1946,32 @@
        "<path d=\"M 448.0 149.4 Q 449.9 149.4, 450.9 150.3 Q 451.9 151.1, 451.9 152.7 Q 451.9 154.3, 450.9 155.2 Q 449.9 156.1, 448.0 156.1 L 446.2 156.1 L 446.2 160.7 L 444.6 160.7 L 444.6 149.4 L 448.0 149.4 M 448.0 154.8 Q 449.1 154.8, 449.7 154.3 Q 450.3 153.7, 450.3 152.7 Q 450.3 151.7, 449.7 151.2 Q 449.1 150.7, 448.0 150.7 L 446.2 150.7 L 446.2 154.8 L 448.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 452.4 148.6 L 453.5 148.6 L 453.5 152.0 L 452.4 152.0 L 452.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 457.2 148.3 L 457.2 163.8 L 453.8 163.8 L 453.8 162.7 L 455.9 162.7 L 455.9 149.5 L 453.8 149.5 L 453.8 148.3 L 457.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 550.4,61.2 L 558.8,62.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 558.8,62.2 L 567.2,63.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 550.9,57.2 L 559.3,58.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 559.3,58.2 L 567.7,59.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 567.4,61.2 L 571.3,68.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 571.3,68.3 L 575.3,75.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 578.4,49.4 L 572.9,55.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 572.9,55.3 L 567.4,61.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 579.8,78.3 L 588.3,76.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 588.3,76.6 L 596.8,75.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 596.8,75.0 L 612.8,87.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 601.6,73.6 L 612.8,82.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-3\" d=\"M 599.3,55.1 L 596.8,75.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 612.8,87.1 L 631.3,79.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 631.3,79.2 L 633.7,59.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 627.6,75.8 L 629.4,61.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 633.7,59.3 L 641.4,56.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 641.4,56.1 L 649.1,52.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 633.7,59.3 L 617.7,47.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 617.7,47.3 L 599.3,55.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 616.5,52.1 L 603.6,57.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 599.3,55.1 L 591.5,51.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 591.5,51.5 L 583.8,47.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 544.9 58.8 Q 544.9 57.4, 545.6 56.7 Q 546.3 55.9, 547.5 55.9 Q 548.8 55.9, 549.4 56.7 Q 550.1 57.4, 550.1 58.8 Q 550.1 60.2, 549.4 61.0 Q 548.8 61.7, 547.5 61.7 Q 546.3 61.7, 545.6 61.0 Q 544.9 60.2, 544.9 58.8 M 547.5 61.1 Q 548.4 61.1, 548.8 60.5 Q 549.3 59.9, 549.3 58.8 Q 549.3 57.7, 548.8 57.1 Q 548.4 56.5, 547.5 56.5 Q 546.6 56.5, 546.2 57.1 Q 545.7 57.7, 545.7 58.8 Q 545.7 59.9, 546.2 60.5 Q 546.6 61.1, 547.5 61.1 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 569.9 75.9 L 570.6 75.9 L 570.6 78.4 L 573.5 78.4 L 573.5 75.9 L 574.3 75.9 L 574.3 81.6 L 573.5 81.6 L 573.5 79.0 L 570.6 79.0 L 570.6 81.6 L 569.9 81.6 L 569.9 75.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 575.9 75.9 L 577.7 79.0 Q 577.9 79.2, 578.2 79.8 Q 578.5 80.3, 578.5 80.4 L 578.5 75.9 L 579.3 75.9 L 579.3 81.6 L 578.5 81.6 L 576.5 78.3 Q 576.3 78.0, 576.0 77.5 Q 575.8 77.1, 575.7 76.9 L 575.7 81.6 L 575.0 81.6 L 575.0 75.9 L 575.9 75.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 649.6 51.5 Q 649.6 50.2, 650.2 49.4 Q 650.9 48.7, 652.2 48.7 Q 653.4 48.7, 654.1 49.4 Q 654.8 50.2, 654.8 51.5 Q 654.8 52.9, 654.1 53.7 Q 653.4 54.5, 652.2 54.5 Q 650.9 54.5, 650.2 53.7 Q 649.6 52.9, 649.6 51.5 M 652.2 53.9 Q 653.0 53.9, 653.5 53.3 Q 654.0 52.7, 654.0 51.5 Q 654.0 50.4, 653.5 49.9 Q 653.0 49.3, 652.2 49.3 Q 651.3 49.3, 650.8 49.9 Q 650.4 50.4, 650.4 51.5 Q 650.4 52.7, 650.8 53.3 Q 651.3 53.9, 652.2 53.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-7\" d=\"M 655.5 48.7 L 656.2 48.7 L 656.2 51.1 L 659.1 51.1 L 659.1 48.7 L 659.9 48.7 L 659.9 54.4 L 659.1 54.4 L 659.1 51.8 L 656.2 51.8 L 656.2 54.4 L 655.5 54.4 L 655.5 48.7 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-10\" d=\"M 579.8 43.8 L 581.7 46.8 Q 581.9 47.1, 582.2 47.6 Q 582.5 48.1, 582.5 48.2 L 582.5 43.8 L 583.3 43.8 L 583.3 49.4 L 582.5 49.4 L 580.5 46.1 Q 580.2 45.8, 580.0 45.3 Q 579.8 44.9, 579.7 44.7 L 579.7 49.4 L 578.9 49.4 L 578.9 43.8 L 579.8 43.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 578.9 37.5 L 579.6 37.5 L 579.6 39.9 L 582.5 39.9 L 582.5 37.5 L 583.3 37.5 L 583.3 43.2 L 582.5 43.2 L 582.5 40.6 L 579.6 40.6 L 579.6 43.2 L 578.9 43.2 L 578.9 37.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 644.8,54.7 L 636.7,57.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 636.7,57.6 L 628.6,60.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 628.6,60.5 L 624.9,80.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 624.1,62.7 L 621.5,76.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 613.3,47.5 L 628.6,60.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 624.9,80.2 L 616.8,83.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 616.8,83.1 L 608.7,85.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 603.4,84.6 L 597.1,79.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 597.1,79.2 L 590.8,73.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 604.1,80.0 L 599.7,76.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 599.7,76.2 L 595.3,72.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 590.8,73.9 L 582.2,75.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 582.2,75.0 L 573.5,76.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-8 atom-4\" d=\"M 594.4,54.2 L 590.8,73.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 569.3,73.2 L 565.8,65.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 565.8,65.8 L 562.2,58.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 562.2,58.4 L 576.8,44.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 567.2,59.3 L 577.4,49.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 576.8,44.6 L 594.4,54.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 594.4,54.2 L 613.3,47.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 598.6,56.9 L 611.8,52.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 645.3 53.9 Q 645.3 52.5, 645.9 51.8 Q 646.6 51.1, 647.8 51.1 Q 649.0 51.1, 649.6 51.9 L 649.1 52.3 Q 648.6 51.7, 647.8 51.7 Q 647.0 51.7, 646.5 52.3 Q 646.1 52.9, 646.1 53.9 Q 646.1 55.1, 646.5 55.6 Q 647.0 56.2, 647.9 56.2 Q 648.6 56.2, 649.3 55.8 L 649.5 56.4 Q 649.2 56.6, 648.8 56.8 Q 648.3 56.9, 647.8 56.9 Q 646.6 56.9, 645.9 56.1 Q 645.3 55.4, 645.3 53.9 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-0\" d=\"M 650.3 50.7 L 651.1 50.7 L 651.1 56.8 L 650.3 56.8 L 650.3 50.7 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-3\" d=\"M 604.8 84.0 L 606.6 87.0 Q 606.8 87.3, 607.1 87.9 Q 607.4 88.4, 607.4 88.5 L 607.4 84.0 L 608.2 84.0 L 608.2 89.7 L 607.4 89.7 L 605.4 86.4 Q 605.2 86.0, 604.9 85.6 Q 604.7 85.2, 604.6 85.0 L 604.6 89.7 L 603.9 89.7 L 603.9 84.0 L 604.8 84.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 563.6 73.7 L 564.4 73.7 L 564.4 76.1 L 567.3 76.1 L 567.3 73.7 L 568.1 73.7 L 568.1 79.3 L 567.3 79.3 L 567.3 76.7 L 564.4 76.7 L 564.4 79.3 L 563.6 79.3 L 563.6 73.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 569.6 73.7 L 571.5 76.7 Q 571.7 77.0, 572.0 77.5 Q 572.3 78.0, 572.3 78.1 L 572.3 73.7 L 573.0 73.7 L 573.0 79.3 L 572.3 79.3 L 570.3 76.1 Q 570.0 75.7, 569.8 75.2 Q 569.6 74.8, 569.5 74.7 L 569.5 79.3 L 568.7 79.3 L 568.7 73.7 L 569.6 73.7 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 557.5 159.4 L 560.0 159.4 L 560.0 151.0 L 557.3 151.8 L 556.9 150.9 L 560.4 149.3 L 561.5 149.5 L 561.5 159.4 L 563.7 159.4 L 563.7 160.7 L 557.5 160.7 L 557.5 159.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 569.1 148.3 L 570.5 148.3 L 570.5 163.8 L 569.1 163.8 L 569.1 148.3 \" fill=\"#000000\"/>\n",
@@ -1959,43 +1987,39 @@
        "<path d=\"M 618.0 149.4 Q 619.9 149.4, 620.9 150.3 Q 621.9 151.1, 621.9 152.7 Q 621.9 154.3, 620.9 155.2 Q 619.9 156.1, 618.0 156.1 L 616.2 156.1 L 616.2 160.7 L 614.6 160.7 L 614.6 149.4 L 618.0 149.4 M 618.0 154.8 Q 619.1 154.8, 619.7 154.3 Q 620.3 153.7, 620.3 152.7 Q 620.3 151.7, 619.7 151.2 Q 619.1 150.7, 618.0 150.7 L 616.2 150.7 L 616.2 154.8 L 618.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 622.4 148.6 L 623.5 148.6 L 623.5 152.0 L 622.4 152.0 L 622.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 627.2 148.3 L 627.2 163.8 L 623.8 163.8 L 623.8 162.7 L 625.9 162.7 L 625.9 149.5 L 623.8 149.5 L 623.8 148.3 L 627.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 814.6,80.6 L 795.0,84.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 810.8,77.3 L 797.1,80.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-5 atom-0\" d=\"M 819.7,64.9 L 817.1,72.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-5 atom-0\" d=\"M 817.1,72.7 L 814.6,80.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 795.0,84.7 L 781.6,69.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 781.6,69.8 L 787.8,50.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 786.3,68.2 L 790.6,54.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-12 atom-2\" d=\"M 761.5,69.8 L 781.6,69.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 787.8,50.8 L 807.4,46.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-3 atom-6\" d=\"M 787.8,50.8 L 781.0,45.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-3 atom-6\" d=\"M 781.0,45.9 L 774.2,40.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 807.4,46.6 L 812.7,52.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 812.7,52.6 L 818.1,58.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 806.0,51.1 L 809.8,55.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 809.8,55.3 L 813.5,59.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 768.9,40.9 L 762.1,45.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 762.1,45.9 L 755.3,50.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 755.3,50.8 L 746.8,49.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 746.8,49.0 L 738.4,47.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 751.9,54.2 L 746.0,52.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 746.0,52.9 L 740.1,51.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-12 atom-7\" d=\"M 761.5,69.8 L 755.3,50.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 733.0,49.6 L 727.7,55.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 727.7,55.5 L 722.3,61.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 722.3,61.5 L 724.8,69.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 724.8,69.4 L 727.4,77.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 726.9,62.6 L 728.7,68.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 728.7,68.1 L 730.4,73.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 731.1,81.1 L 739.6,82.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 739.6,82.9 L 748.1,84.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 748.1,84.7 L 761.5,69.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 747.1,79.8 L 756.5,69.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-5\" d=\"M 819.5 58.7 L 821.4 61.7 Q 821.6 62.0, 821.9 62.5 Q 822.2 63.1, 822.2 63.1 L 822.2 58.7 L 822.9 58.7 L 822.9 64.4 L 822.2 64.4 L 820.2 61.1 Q 819.9 60.7, 819.7 60.2 Q 819.4 59.8, 819.4 59.7 L 819.4 64.4 L 818.6 64.4 L 818.6 58.7 L 819.5 58.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 770.3 36.2 L 772.1 39.2 Q 772.3 39.5, 772.6 40.0 Q 772.9 40.5, 772.9 40.6 L 772.9 36.2 L 773.7 36.2 L 773.7 41.8 L 772.9 41.8 L 770.9 38.5 Q 770.7 38.2, 770.4 37.7 Q 770.2 37.3, 770.1 37.1 L 770.1 41.8 L 769.4 41.8 L 769.4 36.2 L 770.3 36.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 769.3 29.9 L 770.1 29.9 L 770.1 32.3 L 773.0 32.3 L 773.0 29.9 L 773.8 29.9 L 773.8 35.6 L 773.0 35.6 L 773.0 33.0 L 770.1 33.0 L 770.1 35.6 L 769.3 35.6 L 769.3 29.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 734.4 43.8 L 736.3 46.8 Q 736.5 47.1, 736.8 47.6 Q 737.1 48.2, 737.1 48.2 L 737.1 43.8 L 737.9 43.8 L 737.9 49.5 L 737.1 49.5 L 735.1 46.2 Q 734.8 45.8, 734.6 45.3 Q 734.4 44.9, 734.3 44.8 L 734.3 49.5 L 733.6 49.5 L 733.6 43.8 L 734.4 43.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 727.2 77.7 L 729.1 80.7 Q 729.3 81.0, 729.6 81.6 Q 729.9 82.1, 729.9 82.2 L 729.9 77.7 L 730.6 77.7 L 730.6 83.4 L 729.9 83.4 L 727.9 80.1 Q 727.6 79.7, 727.4 79.3 Q 727.1 78.9, 727.1 78.7 L 727.1 83.4 L 726.3 83.4 L 726.3 77.7 L 727.2 77.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 728.5,80.6 L 722.3,61.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 731.4,76.5 L 727.0,63.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-0\" d=\"M 748.1,84.7 L 728.5,80.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 722.3,61.5 L 727.7,55.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 727.7,55.5 L 733.0,49.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 738.4,47.2 L 746.8,49.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 746.8,49.0 L 755.3,50.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 740.1,51.6 L 746.0,52.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 746.0,52.9 L 751.9,54.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 755.3,50.8 L 762.1,45.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 762.1,45.9 L 768.9,40.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-11 atom-3\" d=\"M 761.5,69.8 L 755.3,50.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 774.2,40.9 L 781.0,45.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 781.0,45.9 L 787.8,50.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 787.8,50.8 L 807.4,46.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 791.5,54.1 L 805.3,51.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-10 atom-5\" d=\"M 781.6,69.8 L 787.8,50.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 807.4,46.6 L 812.7,52.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 812.7,52.6 L 818.1,58.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 819.7,64.9 L 817.1,72.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 817.1,72.7 L 814.6,80.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 815.1,66.0 L 813.3,71.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 813.3,71.5 L 811.5,77.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 814.6,80.6 L 795.0,84.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 795.0,84.7 L 781.6,69.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 795.9,79.8 L 786.5,69.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 781.6,69.8 L 761.5,69.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 761.5,69.8 L 748.1,84.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 756.5,69.4 L 747.1,79.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-2\" d=\"M 734.4 43.8 L 736.3 46.8 Q 736.5 47.1, 736.8 47.6 Q 737.1 48.2, 737.1 48.2 L 737.1 43.8 L 737.9 43.8 L 737.9 49.5 L 737.1 49.5 L 735.1 46.2 Q 734.8 45.8, 734.6 45.3 Q 734.4 44.9, 734.3 44.8 L 734.3 49.5 L 733.6 49.5 L 733.6 43.8 L 734.4 43.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 770.3 36.2 L 772.1 39.2 Q 772.3 39.5, 772.6 40.0 Q 772.9 40.5, 772.9 40.6 L 772.9 36.2 L 773.7 36.2 L 773.7 41.8 L 772.9 41.8 L 770.9 38.5 Q 770.7 38.2, 770.4 37.7 Q 770.2 37.3, 770.1 37.1 L 770.1 41.8 L 769.4 41.8 L 769.4 36.2 L 770.3 36.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 769.3 29.9 L 770.1 29.9 L 770.1 32.3 L 773.0 32.3 L 773.0 29.9 L 773.8 29.9 L 773.8 35.6 L 773.0 35.6 L 773.0 33.0 L 770.1 33.0 L 770.1 35.6 L 769.3 35.6 L 769.3 29.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 819.5 58.7 L 821.4 61.7 Q 821.6 62.0, 821.9 62.5 Q 822.2 63.1, 822.2 63.1 L 822.2 58.7 L 822.9 58.7 L 822.9 64.4 L 822.2 64.4 L 820.2 61.1 Q 819.9 60.7, 819.7 60.2 Q 819.4 59.8, 819.4 59.7 L 819.4 64.4 L 818.6 64.4 L 818.6 58.7 L 819.5 58.7 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 727.5 159.4 L 730.0 159.4 L 730.0 151.0 L 727.3 151.8 L 726.9 150.9 L 730.4 149.3 L 731.5 149.5 L 731.5 159.4 L 733.7 159.4 L 733.7 160.7 L 727.5 160.7 L 727.5 159.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 739.1 148.3 L 740.5 148.3 L 740.5 163.8 L 739.1 163.8 L 739.1 148.3 \" fill=\"#000000\"/>\n",
@@ -2011,30 +2035,47 @@
        "<path d=\"M 788.0 149.4 Q 789.9 149.4, 790.9 150.3 Q 791.9 151.1, 791.9 152.7 Q 791.9 154.3, 790.9 155.2 Q 789.9 156.1, 788.0 156.1 L 786.2 156.1 L 786.2 160.7 L 784.6 160.7 L 784.6 149.4 L 788.0 149.4 M 788.0 154.8 Q 789.1 154.8, 789.7 154.3 Q 790.3 153.7, 790.3 152.7 Q 790.3 151.7, 789.7 151.2 Q 789.1 150.7, 788.0 150.7 L 786.2 150.7 L 786.2 154.8 L 788.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 792.4 148.6 L 793.5 148.6 L 793.5 152.0 L 792.4 152.0 L 792.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 797.2 148.3 L 797.2 163.8 L 793.8 163.8 L 793.8 162.7 L 795.9 162.7 L 795.9 149.5 L 793.8 149.5 L 793.8 148.3 L 797.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 894.3,56.0 L 902.1,59.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 902.1,59.0 L 909.9,62.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 895.8,52.3 L 903.6,55.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 903.6,55.3 L 911.4,58.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 910.6,60.2 L 913.7,80.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 923.6,49.7 L 917.1,54.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 917.1,54.9 L 910.6,60.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 913.7,80.0 L 932.4,87.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 918.0,77.3 L 931.1,82.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 932.4,87.2 L 948.0,74.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 948.0,74.6 L 966.7,81.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 952.3,71.9 L 965.4,77.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 944.9,54.8 L 948.0,74.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 966.7,81.8 L 982.3,69.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 982.3,69.2 L 979.2,49.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 977.9,66.9 L 975.8,53.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 979.2,49.4 L 960.5,42.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 960.5,42.2 L 944.9,54.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 960.7,47.2 L 949.8,56.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 944.9,54.8 L 936.9,51.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"atom-0\" d=\"M 889.3 53.0 Q 889.3 51.6, 890.0 50.8 Q 890.7 50.1, 891.9 50.1 Q 893.2 50.1, 893.9 50.8 Q 894.5 51.6, 894.5 53.0 Q 894.5 54.3, 893.9 55.1 Q 893.2 55.9, 891.9 55.9 Q 890.7 55.9, 890.0 55.1 Q 889.3 54.3, 889.3 53.0 M 891.9 55.3 Q 892.8 55.3, 893.3 54.7 Q 893.7 54.1, 893.7 53.0 Q 893.7 51.8, 893.3 51.3 Q 892.8 50.7, 891.9 50.7 Q 891.1 50.7, 890.6 51.3 Q 890.1 51.8, 890.1 53.0 Q 890.1 54.1, 890.6 54.7 Q 891.1 55.3, 891.9 55.3 \" fill=\"#FF0000\"/>\n",
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+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 873.7,42.3 L 880.8,46.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 880.8,46.8 L 888.0,51.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 871.5,45.7 L 877.6,49.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 877.6,49.5 L 883.7,53.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 875.8,38.9 L 881.9,42.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 888.0,51.3 L 905.0,61.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 905.0,61.9 L 922.7,52.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 909.6,64.0 L 921.9,57.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-7 atom-2\" d=\"M 904.4,78.6 L 904.7,70.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-7 atom-2\" d=\"M 904.7,70.3 L 905.0,61.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 922.7,52.5 L 939.7,63.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 939.7,63.1 L 939.0,83.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 935.6,66.0 L 935.1,80.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-14 atom-4\" d=\"M 959.0,57.6 L 939.7,63.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 939.0,83.2 L 921.3,92.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-5 atom-8\" d=\"M 939.0,83.2 L 947.1,86.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-5 atom-8\" d=\"M 947.1,86.1 L 955.2,89.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 921.3,92.6 L 914.1,88.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 914.1,88.1 L 907.0,83.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 921.3,87.8 L 916.3,84.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 916.3,84.7 L 911.2,81.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 960.5,86.7 L 965.3,80.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 965.3,80.5 L 970.2,74.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 970.2,74.2 L 978.9,73.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 978.9,73.6 L 987.5,73.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 972.5,70.0 L 978.6,69.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 978.6,69.6 L 984.7,69.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-14 atom-9\" d=\"M 959.0,57.6 L 970.2,74.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 991.8,69.5 L 995.4,62.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 995.4,62.1 L 999.0,54.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 999.0,54.8 L 987.8,38.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 994.0,54.6 L 986.1,42.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 987.8,38.2 L 967.8,39.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 967.8,39.6 L 959.0,57.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 970.1,44.0 L 963.9,56.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 869.8 37.8 L 871.6 40.8 Q 871.8 41.1, 872.1 41.7 Q 872.4 42.2, 872.4 42.2 L 872.4 37.8 L 873.2 37.8 L 873.2 43.5 L 872.4 43.5 L 870.4 40.2 Q 870.2 39.8, 869.9 39.4 Q 869.7 38.9, 869.6 38.8 L 869.6 43.5 L 868.9 43.5 L 868.9 37.8 L 869.8 37.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 903.1 79.1 L 904.9 82.1 Q 905.1 82.4, 905.4 82.9 Q 905.7 83.5, 905.7 83.5 L 905.7 79.1 L 906.5 79.1 L 906.5 84.8 L 905.7 84.8 L 903.7 81.5 Q 903.5 81.1, 903.2 80.7 Q 903.0 80.2, 902.9 80.1 L 902.9 84.8 L 902.2 84.8 L 902.2 79.1 L 903.1 79.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 956.6 87.2 L 958.5 90.2 Q 958.6 90.5, 958.9 91.0 Q 959.2 91.6, 959.3 91.6 L 959.3 87.2 L 960.0 87.2 L 960.0 92.9 L 959.2 92.9 L 957.2 89.6 Q 957.0 89.2, 956.8 88.7 Q 956.5 88.3, 956.4 88.2 L 956.4 92.9 L 955.7 92.9 L 955.7 87.2 L 956.6 87.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 955.6 93.4 L 956.4 93.4 L 956.4 95.8 L 959.3 95.8 L 959.3 93.4 L 960.1 93.4 L 960.1 99.1 L 959.3 99.1 L 959.3 96.5 L 956.4 96.5 L 956.4 99.1 L 955.6 99.1 L 955.6 93.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 988.9 70.0 L 990.8 73.0 Q 991.0 73.3, 991.3 73.8 Q 991.6 74.4, 991.6 74.4 L 991.6 70.0 L 992.4 70.0 L 992.4 75.7 L 991.6 75.7 L 989.6 72.4 Q 989.3 72.0, 989.1 71.6 Q 988.9 71.1, 988.8 71.0 L 988.8 75.7 L 988.0 75.7 L 988.0 70.0 L 988.9 70.0 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 897.5 159.4 L 900.0 159.4 L 900.0 151.0 L 897.3 151.8 L 896.9 150.9 L 900.4 149.3 L 901.5 149.5 L 901.5 159.4 L 903.7 159.4 L 903.7 160.7 L 897.5 160.7 L 897.5 159.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 909.1 148.3 L 910.5 148.3 L 910.5 163.8 L 909.1 163.8 L 909.1 148.3 \" fill=\"#000000\"/>\n",
@@ -2050,34 +2091,36 @@
        "<path d=\"M 958.0 149.4 Q 959.9 149.4, 960.9 150.3 Q 961.9 151.1, 961.9 152.7 Q 961.9 154.3, 960.9 155.2 Q 959.9 156.1, 958.0 156.1 L 956.2 156.1 L 956.2 160.7 L 954.6 160.7 L 954.6 149.4 L 958.0 149.4 M 958.0 154.8 Q 959.1 154.8, 959.7 154.3 Q 960.3 153.7, 960.3 152.7 Q 960.3 151.7, 959.7 151.2 Q 959.1 150.7, 958.0 150.7 L 956.2 150.7 L 956.2 154.8 L 958.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 962.4 148.6 L 963.5 148.6 L 963.5 152.0 L 962.4 152.0 L 962.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 967.2 148.3 L 967.2 163.8 L 963.8 163.8 L 963.8 162.7 L 965.9 162.7 L 965.9 149.5 L 963.8 149.5 L 963.8 148.3 L 967.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1059.9,72.3 L 1068.0,69.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1068.0,69.8 L 1076.0,67.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1058.8,68.4 L 1066.8,66.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1066.8,66.0 L 1074.9,63.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1075.4,65.5 L 1080.0,46.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 1087.4,76.7 L 1081.4,71.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 1081.4,71.1 L 1075.4,65.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1080.0,46.0 L 1099.2,40.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1084.0,48.9 L 1097.5,44.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1099.2,40.2 L 1113.8,53.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1113.8,53.9 L 1133.0,48.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1117.9,56.8 L 1131.3,52.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-4\" d=\"M 1109.2,73.4 L 1113.8,53.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1133.0,48.1 L 1147.6,61.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1147.6,61.8 L 1155.9,59.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1155.9,59.3 L 1164.1,56.8\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 1147.6,61.8 L 1143.1,81.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 1143.0,63.8 L 1139.8,77.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1143.1,81.3 L 1123.9,87.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1123.9,87.1 L 1109.2,73.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1124.4,82.1 L 1114.2,72.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1109.2,73.4 L 1101.0,75.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1101.0,75.9 L 1092.7,78.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1053.6 71.3 Q 1053.6 69.9, 1054.3 69.2 Q 1055.0 68.4, 1056.2 68.4 Q 1057.5 68.4, 1058.2 69.2 Q 1058.9 69.9, 1058.9 71.3 Q 1058.9 72.7, 1058.2 73.5 Q 1057.5 74.2, 1056.2 74.2 Q 1055.0 74.2, 1054.3 73.5 Q 1053.6 72.7, 1053.6 71.3 M 1056.2 73.6 Q 1057.1 73.6, 1057.6 73.0 Q 1058.1 72.4, 1058.1 71.3 Q 1058.1 70.2, 1057.6 69.6 Q 1057.1 69.1, 1056.2 69.1 Q 1055.4 69.1, 1054.9 69.6 Q 1054.4 70.2, 1054.4 71.3 Q 1054.4 72.4, 1054.9 73.0 Q 1055.4 73.6, 1056.2 73.6 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-7\" d=\"M 1164.6 56.2 Q 1164.6 54.8, 1165.3 54.0 Q 1165.9 53.3, 1167.2 53.3 Q 1168.4 53.3, 1169.0 54.1 L 1168.5 54.5 Q 1168.0 53.9, 1167.2 53.9 Q 1166.3 53.9, 1165.9 54.5 Q 1165.4 55.1, 1165.4 56.2 Q 1165.4 57.3, 1165.9 57.9 Q 1166.4 58.4, 1167.3 58.4 Q 1167.9 58.4, 1168.7 58.1 L 1168.9 58.7 Q 1168.6 58.9, 1168.1 59.0 Q 1167.7 59.1, 1167.2 59.1 Q 1165.9 59.1, 1165.3 58.3 Q 1164.6 57.6, 1164.6 56.2 \" fill=\"#00CC00\"/>\n",
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-       "<path class=\"atom-11\" d=\"M 1088.8 76.4 L 1090.7 79.4 Q 1090.9 79.7, 1091.1 80.2 Q 1091.4 80.7, 1091.5 80.8 L 1091.5 76.4 L 1092.2 76.4 L 1092.2 82.0 L 1091.4 82.0 L 1089.4 78.7 Q 1089.2 78.4, 1089.0 77.9 Q 1088.7 77.5, 1088.6 77.3 L 1088.6 82.0 L 1087.9 82.0 L 1087.9 76.4 L 1088.8 76.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 1087.8 82.6 L 1088.6 82.6 L 1088.6 85.0 L 1091.5 85.0 L 1091.5 82.6 L 1092.3 82.6 L 1092.3 88.3 L 1091.5 88.3 L 1091.5 85.7 L 1088.6 85.7 L 1088.6 88.3 L 1087.8 88.3 L 1087.8 82.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1155.0,54.6 L 1146.8,57.5\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1126.8,83.1 L 1118.7,85.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1113.4,84.6 L 1107.1,79.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1114.1,80.0 L 1109.7,76.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1109.7,76.2 L 1105.3,72.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1100.8,73.9 L 1092.2,75.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1092.2,75.0 L 1083.5,76.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-8 atom-4\" d=\"M 1104.4,54.2 L 1100.8,73.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1079.3,73.2 L 1075.8,65.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1075.8,65.8 L 1072.2,58.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1072.2,58.4 L 1078.2,52.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1078.2,52.8 L 1084.1,47.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1076.8,59.6 L 1080.9,55.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1080.9,55.7 L 1085.1,51.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1096.9,50.1 L 1104.4,54.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1104.4,54.2 L 1123.3,47.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1108.6,56.9 L 1121.8,52.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1158.3 53.6 Q 1158.8 53.8, 1159.1 54.1 Q 1159.4 54.4, 1159.4 54.9 Q 1159.4 55.7, 1158.9 56.1 Q 1158.4 56.6, 1157.4 56.6 L 1155.5 56.6 L 1155.5 50.9 L 1157.2 50.9 Q 1158.2 50.9, 1158.7 51.3 Q 1159.1 51.7, 1159.1 52.4 Q 1159.1 53.3, 1158.3 53.6 M 1156.3 51.6 L 1156.3 53.3 L 1157.2 53.3 Q 1157.8 53.3, 1158.0 53.1 Q 1158.3 52.9, 1158.3 52.4 Q 1158.3 51.6, 1157.2 51.6 L 1156.3 51.6 M 1157.4 55.9 Q 1158.0 55.9, 1158.3 55.7 Q 1158.6 55.4, 1158.6 54.9 Q 1158.6 54.4, 1158.2 54.2 Q 1157.9 54.0, 1157.3 54.0 L 1156.3 54.0 L 1156.3 55.9 L 1157.4 55.9 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1160.7 52.5 L 1160.8 53.0 Q 1161.2 52.4, 1161.9 52.4 Q 1162.1 52.4, 1162.4 52.5 L 1162.3 53.2 Q 1162.0 53.1, 1161.8 53.1 Q 1161.4 53.1, 1161.2 53.2 Q 1161.0 53.3, 1160.8 53.6 L 1160.8 56.6 L 1160.1 56.6 L 1160.1 52.5 L 1160.7 52.5 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-3\" d=\"M 1114.8 84.0 L 1116.6 87.0 Q 1116.8 87.3, 1117.1 87.9 Q 1117.4 88.4, 1117.4 88.5 L 1117.4 84.0 L 1118.2 84.0 L 1118.2 89.7 L 1117.4 89.7 L 1115.4 86.4 Q 1115.2 86.0, 1114.9 85.6 Q 1114.7 85.2, 1114.6 85.0 L 1114.6 89.7 L 1113.9 89.7 L 1113.9 84.0 L 1114.8 84.0 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"atom-5\" d=\"M 1079.6 73.7 L 1081.5 76.7 Q 1081.7 77.0, 1082.0 77.5 Q 1082.3 78.0, 1082.3 78.1 L 1082.3 73.7 L 1083.0 73.7 L 1083.0 79.3 L 1082.3 79.3 L 1080.3 76.1 Q 1080.0 75.7, 1079.8 75.2 Q 1079.6 74.8, 1079.5 74.7 L 1079.5 79.3 L 1078.7 79.3 L 1078.7 73.7 L 1079.6 73.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 1085.5 41.8 L 1087.4 44.8 Q 1087.6 45.1, 1087.9 45.6 Q 1088.2 46.1, 1088.2 46.2 L 1088.2 41.8 L 1088.9 41.8 L 1088.9 47.4 L 1088.2 47.4 L 1086.2 44.2 Q 1085.9 43.8, 1085.7 43.3 Q 1085.4 42.9, 1085.4 42.8 L 1085.4 47.4 L 1084.6 47.4 L 1084.6 41.8 L 1085.5 41.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1067.5 159.4 L 1070.0 159.4 L 1070.0 151.0 L 1067.3 151.8 L 1066.9 150.9 L 1070.4 149.3 L 1071.5 149.5 L 1071.5 159.4 L 1073.7 159.4 L 1073.7 160.7 L 1067.5 160.7 L 1067.5 159.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 148.3 L 1080.5 148.3 L 1080.5 163.8 L 1079.1 163.8 L 1079.1 148.3 \" fill=\"#000000\"/>\n",
@@ -2093,8 +2136,8 @@
        "<path d=\"M 1128.0 149.4 Q 1129.9 149.4, 1130.9 150.3 Q 1131.9 151.1, 1131.9 152.7 Q 1131.9 154.3, 1130.9 155.2 Q 1129.9 156.1, 1128.0 156.1 L 1126.2 156.1 L 1126.2 160.7 L 1124.6 160.7 L 1124.6 149.4 L 1128.0 149.4 M 1128.0 154.8 Q 1129.1 154.8, 1129.7 154.3 Q 1130.3 153.7, 1130.3 152.7 Q 1130.3 151.7, 1129.7 151.2 Q 1129.1 150.7, 1128.0 150.7 L 1126.2 150.7 L 1126.2 154.8 L 1128.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.4 148.6 L 1133.5 148.6 L 1133.5 152.0 L 1132.4 152.0 L 1132.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.2 148.3 L 1137.2 163.8 L 1133.8 163.8 L 1133.8 162.7 L 1135.9 162.7 L 1135.9 149.5 L 1133.8 149.5 L 1133.8 148.3 L 1137.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 135.0,224.6 L 126.8,227.5\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 126.8,227.5 L 118.6,230.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 134.8,224.7 L 126.7,227.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 126.7,227.6 L 118.6,230.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-1 atom-1 atom-2\" d=\"M 118.6,230.5 L 114.9,250.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-1 atom-1 atom-2\" d=\"M 114.1,232.7 L 111.5,246.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-9 atom-9 atom-1\" d=\"M 103.3,217.5 L 118.6,230.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
@@ -2117,8 +2160,8 @@
        "<path class=\"bond-7 atom-7 atom-8\" d=\"M 76.9,220.1 L 84.4,224.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-8 atom-8 atom-9\" d=\"M 84.4,224.2 L 103.3,217.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-8 atom-8 atom-9\" d=\"M 88.6,226.9 L 101.8,222.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 138.3 223.6 Q 138.8 223.8, 139.1 224.1 Q 139.4 224.4, 139.4 224.9 Q 139.4 225.7, 138.9 226.1 Q 138.4 226.6, 137.4 226.6 L 135.5 226.6 L 135.5 220.9 L 137.2 220.9 Q 138.2 220.9, 138.7 221.3 Q 139.1 221.7, 139.1 222.4 Q 139.1 223.3, 138.3 223.6 M 136.3 221.6 L 136.3 223.3 L 137.2 223.3 Q 137.8 223.3, 138.0 223.1 Q 138.3 222.9, 138.3 222.4 Q 138.3 221.6, 137.2 221.6 L 136.3 221.6 M 137.4 225.9 Q 138.0 225.9, 138.3 225.7 Q 138.6 225.4, 138.6 224.9 Q 138.6 224.4, 138.2 224.2 Q 137.9 224.0, 137.3 224.0 L 136.3 224.0 L 136.3 225.9 L 137.4 225.9 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-0\" d=\"M 140.7 222.5 L 140.8 223.0 Q 141.2 222.4, 141.9 222.4 Q 142.1 222.4, 142.4 222.5 L 142.3 223.2 Q 142.0 223.1, 141.8 223.1 Q 141.4 223.1, 141.2 223.2 Q 141.0 223.3, 140.8 223.6 L 140.8 226.6 L 140.1 226.6 L 140.1 222.5 L 140.7 222.5 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-0\" d=\"M 135.3 223.9 Q 135.3 222.5, 135.9 221.8 Q 136.6 221.1, 137.8 221.1 Q 139.0 221.1, 139.6 221.9 L 139.1 222.3 Q 138.6 221.7, 137.8 221.7 Q 137.0 221.7, 136.5 222.3 Q 136.1 222.9, 136.1 223.9 Q 136.1 225.1, 136.5 225.6 Q 137.0 226.2, 137.9 226.2 Q 138.6 226.2, 139.3 225.8 L 139.5 226.4 Q 139.2 226.6, 138.8 226.8 Q 138.3 226.9, 137.8 226.9 Q 136.6 226.9, 135.9 226.1 Q 135.3 225.4, 135.3 223.9 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-0\" d=\"M 140.3 220.7 L 141.1 220.7 L 141.1 226.8 L 140.3 226.8 L 140.3 220.7 \" fill=\"#00CC00\"/>\n",
        "<path class=\"atom-3\" d=\"M 94.8 254.0 L 96.6 257.0 Q 96.8 257.3, 97.1 257.9 Q 97.4 258.4, 97.4 258.5 L 97.4 254.0 L 98.2 254.0 L 98.2 259.7 L 97.4 259.7 L 95.4 256.4 Q 95.2 256.0, 94.9 255.6 Q 94.7 255.2, 94.6 255.0 L 94.6 259.7 L 93.9 259.7 L 93.9 254.0 L 94.8 254.0 \" fill=\"#0000FF\"/>\n",
        "<path class=\"atom-5\" d=\"M 53.6 243.7 L 54.4 243.7 L 54.4 246.1 L 57.3 246.1 L 57.3 243.7 L 58.1 243.7 L 58.1 249.3 L 57.3 249.3 L 57.3 246.7 L 54.4 246.7 L 54.4 249.3 L 53.6 249.3 L 53.6 243.7 \" fill=\"#0000FF\"/>\n",
        "<path class=\"atom-5\" d=\"M 59.6 243.7 L 61.5 246.7 Q 61.7 247.0, 62.0 247.5 Q 62.3 248.0, 62.3 248.1 L 62.3 243.7 L 63.0 243.7 L 63.0 249.3 L 62.3 249.3 L 60.3 246.1 Q 60.0 245.7, 59.8 245.2 Q 59.6 244.8, 59.5 244.7 L 59.5 249.3 L 58.7 249.3 L 58.7 243.7 L 59.6 243.7 \" fill=\"#0000FF\"/>\n",
@@ -2138,36 +2181,31 @@
        "<path d=\"M 108.0 319.4 Q 109.9 319.4, 110.9 320.3 Q 111.9 321.1, 111.9 322.7 Q 111.9 324.3, 110.9 325.2 Q 109.9 326.1, 108.0 326.1 L 106.2 326.1 L 106.2 330.7 L 104.6 330.7 L 104.6 319.4 L 108.0 319.4 M 108.0 324.8 Q 109.1 324.8, 109.7 324.3 Q 110.3 323.7, 110.3 322.7 Q 110.3 321.7, 109.7 321.2 Q 109.1 320.7, 108.0 320.7 L 106.2 320.7 L 106.2 324.8 L 108.0 324.8 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 304.8,224.7 L 296.7,227.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 296.7,227.6 L 288.6,230.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 276.8,253.1 L 268.7,255.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 263.4,254.6 L 257.1,249.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 257.1,249.2 L 250.8,243.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 264.1,250.0 L 259.7,246.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 259.7,246.2 L 255.3,242.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 250.8,243.9 L 242.2,245.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 242.2,245.0 L 233.5,246.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-8 atom-4\" d=\"M 254.4,224.2 L 250.8,243.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 229.3,243.2 L 225.8,235.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 225.8,235.8 L 222.2,228.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 222.2,228.4 L 228.2,222.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 228.2,222.8 L 234.1,217.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 226.8,229.6 L 230.9,225.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 230.9,225.7 L 235.1,221.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 239.4,216.0 L 246.9,220.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 246.9,220.1 L 254.4,224.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 254.4,224.2 L 273.3,217.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 258.6,226.9 L 271.8,222.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 305.3 223.9 Q 305.3 222.5, 305.9 221.8 Q 306.6 221.1, 307.8 221.1 Q 309.0 221.1, 309.6 221.9 L 309.1 222.3 Q 308.6 221.7, 307.8 221.7 Q 307.0 221.7, 306.5 222.3 Q 306.1 222.9, 306.1 223.9 Q 306.1 225.1, 306.5 225.6 Q 307.0 226.2, 307.9 226.2 Q 308.6 226.2, 309.3 225.8 L 309.5 226.4 Q 309.2 226.6, 308.8 226.8 Q 308.3 226.9, 307.8 226.9 Q 306.6 226.9, 305.9 226.1 Q 305.3 225.4, 305.3 223.9 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-0\" d=\"M 310.3 220.7 L 311.1 220.7 L 311.1 226.8 L 310.3 226.8 L 310.3 220.7 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-3\" d=\"M 264.8 254.0 L 266.6 257.0 Q 266.8 257.3, 267.1 257.9 Q 267.4 258.4, 267.4 258.5 L 267.4 254.0 L 268.2 254.0 L 268.2 259.7 L 267.4 259.7 L 265.4 256.4 Q 265.2 256.0, 264.9 255.6 Q 264.7 255.2, 264.6 255.0 L 264.6 259.7 L 263.9 259.7 L 263.9 254.0 L 264.8 254.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 223.6 243.7 L 224.4 243.7 L 224.4 246.1 L 227.3 246.1 L 227.3 243.7 L 228.1 243.7 L 228.1 249.3 L 227.3 249.3 L 227.3 246.7 L 224.4 246.7 L 224.4 249.3 L 223.6 249.3 L 223.6 243.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 229.6 243.7 L 231.5 246.7 Q 231.7 247.0, 232.0 247.5 Q 232.3 248.0, 232.3 248.1 L 232.3 243.7 L 233.0 243.7 L 233.0 249.3 L 232.3 249.3 L 230.3 246.1 Q 230.0 245.7, 229.8 245.2 Q 229.6 244.8, 229.5 244.7 L 229.5 249.3 L 228.7 249.3 L 228.7 243.7 L 229.6 243.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 235.5 211.8 L 237.4 214.8 Q 237.6 215.1, 237.9 215.6 Q 238.2 216.1, 238.2 216.2 L 238.2 211.8 L 238.9 211.8 L 238.9 217.4 L 238.2 217.4 L 236.2 214.2 Q 235.9 213.8, 235.7 213.3 Q 235.4 212.9, 235.4 212.8 L 235.4 217.4 L 234.6 217.4 L 234.6 211.8 L 235.5 211.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 214.6,224.0 L 222.6,227.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 222.6,227.1 L 230.6,230.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 230.6,230.2 L 233.7,250.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 235.1,232.5 L 237.2,246.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 246.2,217.6 L 230.6,230.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 233.7,250.0 L 252.4,257.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 252.4,257.2 L 268.0,244.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 252.3,252.2 L 263.2,243.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 268.0,244.6 L 276.1,247.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 276.1,247.7 L 284.1,250.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 264.9,224.8 L 268.0,244.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 289.4,249.7 L 295.9,244.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 295.9,244.5 L 302.3,239.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 288.8,245.0 L 293.4,241.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 293.4,241.3 L 297.9,237.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 302.3,239.2 L 299.2,219.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 299.2,219.4 L 280.5,212.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 295.0,222.1 L 281.9,217.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 280.5,212.2 L 264.9,224.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 264.9,224.8 L 246.2,217.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 260.7,227.5 L 247.6,222.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 201.9 220.1 L 202.7 220.1 L 202.7 222.5 L 205.6 222.5 L 205.6 220.1 L 206.3 220.1 L 206.3 225.8 L 205.6 225.8 L 205.6 223.2 L 202.7 223.2 L 202.7 225.8 L 201.9 225.8 L 201.9 220.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 206.6 225.6 Q 206.7 225.2, 207.1 225.0 Q 207.4 224.8, 207.9 224.8 Q 208.4 224.8, 208.7 225.1 Q 209.1 225.4, 209.1 226.0 Q 209.1 226.5, 208.6 227.1 Q 208.2 227.6, 207.4 228.2 L 209.1 228.2 L 209.1 228.6 L 206.6 228.6 L 206.6 228.3 Q 207.3 227.8, 207.7 227.4 Q 208.1 227.0, 208.3 226.7 Q 208.5 226.4, 208.5 226.0 Q 208.5 225.7, 208.3 225.5 Q 208.2 225.3, 207.9 225.3 Q 207.5 225.3, 207.3 225.4 Q 207.1 225.5, 207.0 225.8 L 206.6 225.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 210.7 220.1 L 212.5 223.1 Q 212.7 223.4, 213.0 223.9 Q 213.3 224.5, 213.3 224.5 L 213.3 220.1 L 214.1 220.1 L 214.1 225.8 L 213.3 225.8 L 211.3 222.5 Q 211.1 222.1, 210.8 221.7 Q 210.6 221.2, 210.5 221.1 L 210.5 225.8 L 209.8 225.8 L 209.8 220.1 L 210.7 220.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 285.5 249.0 L 287.3 252.0 Q 287.5 252.3, 287.8 252.8 Q 288.1 253.4, 288.1 253.4 L 288.1 249.0 L 288.9 249.0 L 288.9 254.7 L 288.1 254.7 L 286.1 251.4 Q 285.9 251.0, 285.6 250.5 Q 285.4 250.1, 285.3 250.0 L 285.3 254.7 L 284.6 254.7 L 284.6 249.0 L 285.5 249.0 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 217.5 329.4 L 220.0 329.4 L 220.0 321.0 L 217.3 321.8 L 216.9 320.9 L 220.4 319.3 L 221.5 319.5 L 221.5 329.4 L 223.7 329.4 L 223.7 330.7 L 217.5 330.7 L 217.5 329.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 229.1 318.3 L 230.5 318.3 L 230.5 333.8 L 229.1 333.8 L 229.1 318.3 \" fill=\"#000000\"/>\n",
@@ -2199,15 +2237,19 @@
        "<path class=\"bond-5 atom-5 atom-6\" d=\"M 458.8,245.0 L 463.4,241.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-5 atom-5 atom-6\" d=\"M 463.4,241.3 L 467.9,237.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-6 atom-6 atom-7\" d=\"M 472.3,239.2 L 469.2,219.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 469.2,219.4 L 450.5,212.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 465.0,222.1 L 451.9,217.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 450.5,212.2 L 434.9,224.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 469.2,219.4 L 461.2,216.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 461.2,216.3 L 453.2,213.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 465.4,222.2 L 459.8,220.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 459.8,220.1 L 454.2,217.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 447.9,214.3 L 441.4,219.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 441.4,219.6 L 434.9,224.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-9 atom-9 atom-10\" d=\"M 434.9,224.8 L 416.2,217.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-9 atom-9 atom-10\" d=\"M 430.7,227.5 L 417.6,222.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"atom-0\" d=\"M 371.9 220.1 L 372.7 220.1 L 372.7 222.5 L 375.6 222.5 L 375.6 220.1 L 376.3 220.1 L 376.3 225.8 L 375.6 225.8 L 375.6 223.2 L 372.7 223.2 L 372.7 225.8 L 371.9 225.8 L 371.9 220.1 \" fill=\"#0000FF\"/>\n",
        "<path class=\"atom-0\" d=\"M 376.6 225.6 Q 376.7 225.2, 377.1 225.0 Q 377.4 224.8, 377.9 224.8 Q 378.4 224.8, 378.7 225.1 Q 379.1 225.4, 379.1 226.0 Q 379.1 226.5, 378.6 227.1 Q 378.2 227.6, 377.4 228.2 L 379.1 228.2 L 379.1 228.6 L 376.6 228.6 L 376.6 228.3 Q 377.3 227.8, 377.7 227.4 Q 378.1 227.0, 378.3 226.7 Q 378.5 226.4, 378.5 226.0 Q 378.5 225.7, 378.3 225.5 Q 378.2 225.3, 377.9 225.3 Q 377.5 225.3, 377.3 225.4 Q 377.1 225.5, 377.0 225.8 L 376.6 225.6 \" fill=\"#0000FF\"/>\n",
        "<path class=\"atom-0\" d=\"M 380.7 220.1 L 382.5 223.1 Q 382.7 223.4, 383.0 223.9 Q 383.3 224.5, 383.3 224.5 L 383.3 220.1 L 384.1 220.1 L 384.1 225.8 L 383.3 225.8 L 381.3 222.5 Q 381.1 222.1, 380.8 221.7 Q 380.6 221.2, 380.5 221.1 L 380.5 225.8 L 379.8 225.8 L 379.8 220.1 L 380.7 220.1 \" fill=\"#0000FF\"/>\n",
        "<path class=\"atom-5\" d=\"M 455.5 249.0 L 457.3 252.0 Q 457.5 252.3, 457.8 252.8 Q 458.1 253.4, 458.1 253.4 L 458.1 249.0 L 458.9 249.0 L 458.9 254.7 L 458.1 254.7 L 456.1 251.4 Q 455.9 251.0, 455.6 250.5 Q 455.4 250.1, 455.3 250.0 L 455.3 254.7 L 454.6 254.7 L 454.6 249.0 L 455.5 249.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 449.3 209.4 L 451.2 212.4 Q 451.3 212.7, 451.6 213.2 Q 451.9 213.7, 451.9 213.8 L 451.9 209.4 L 452.7 209.4 L 452.7 215.0 L 451.9 215.0 L 449.9 211.8 Q 449.7 211.4, 449.4 210.9 Q 449.2 210.5, 449.1 210.4 L 449.1 215.0 L 448.4 215.0 L 448.4 209.4 L 449.3 209.4 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 387.5 329.4 L 390.0 329.4 L 390.0 321.0 L 387.3 321.8 L 386.9 320.9 L 390.4 319.3 L 391.5 319.5 L 391.5 329.4 L 393.7 329.4 L 393.7 330.7 L 387.5 330.7 L 387.5 329.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 399.1 318.3 L 400.5 318.3 L 400.5 333.8 L 399.1 333.8 L 399.1 318.3 \" fill=\"#000000\"/>\n",
@@ -2315,36 +2357,37 @@
        "<path d=\"M 788.0 319.4 Q 789.9 319.4, 790.9 320.3 Q 791.9 321.1, 791.9 322.7 Q 791.9 324.3, 790.9 325.2 Q 789.9 326.1, 788.0 326.1 L 786.2 326.1 L 786.2 330.7 L 784.6 330.7 L 784.6 319.4 L 788.0 319.4 M 788.0 324.8 Q 789.1 324.8, 789.7 324.3 Q 790.3 323.7, 790.3 322.7 Q 790.3 321.7, 789.7 321.2 Q 789.1 320.7, 788.0 320.7 L 786.2 320.7 L 786.2 324.8 L 788.0 324.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 792.4 318.6 L 793.5 318.6 L 793.5 322.0 L 792.4 322.0 L 792.4 318.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 797.2 318.3 L 797.2 333.8 L 793.8 333.8 L 793.8 332.7 L 795.9 332.7 L 795.9 319.5 L 793.8 319.5 L 793.8 318.3 L 797.2 318.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 910.7,243.7 L 910.7,235.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 910.7,235.3 L 910.7,226.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 914.7,241.1 L 914.7,235.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 918.1,247.9 L 910.7,243.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 913.4,222.1 L 920.7,217.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 928.1,213.6 L 945.4,223.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 928.7,218.6 L 940.8,225.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 945.4,223.6 L 953.6,220.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 953.6,220.9 L 961.9,218.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-7 atom-3\" d=\"M 945.4,243.7 L 945.4,223.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 966.9,220.7 L 971.6,227.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 971.6,227.2 L 976.3,233.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 976.3,233.6 L 971.6,240.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 971.6,240.1 L 966.9,246.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 971.6,233.2 L 968.4,237.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 968.4,237.7 L 965.1,242.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 961.9,249.0 L 953.6,246.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 953.6,246.3 L 945.4,243.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 945.4,243.7 L 938.1,247.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 938.1,247.9 L 930.7,252.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 941.2,241.5 L 936.1,244.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 936.1,244.4 L 930.9,247.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 909.5 220.8 L 911.3 223.8 Q 911.5 224.1, 911.8 224.6 Q 912.1 225.1, 912.1 225.2 L 912.1 220.8 L 912.9 220.8 L 912.9 226.4 L 912.1 226.4 L 910.1 223.2 Q 909.9 222.8, 909.6 222.3 Q 909.4 221.9, 909.3 221.8 L 909.3 226.4 L 908.6 226.4 L 908.6 220.8 L 909.5 220.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 963.3 214.6 L 965.1 217.6 Q 965.3 217.9, 965.6 218.4 Q 965.9 218.9, 965.9 219.0 L 965.9 214.6 L 966.7 214.6 L 966.7 220.2 L 965.9 220.2 L 963.9 217.0 Q 963.7 216.6, 963.4 216.1 Q 963.2 215.7, 963.1 215.6 L 963.1 220.2 L 962.4 220.2 L 962.4 214.6 L 963.3 214.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 962.3 208.3 L 963.1 208.3 L 963.1 210.7 L 966.0 210.7 L 966.0 208.3 L 966.7 208.3 L 966.7 214.0 L 966.0 214.0 L 966.0 211.4 L 963.1 211.4 L 963.1 214.0 L 962.3 214.0 L 962.3 208.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 963.3 247.0 L 965.1 250.0 Q 965.3 250.3, 965.6 250.8 Q 965.9 251.4, 965.9 251.4 L 965.9 247.0 L 966.7 247.0 L 966.7 252.7 L 965.9 252.7 L 963.9 249.4 Q 963.7 249.0, 963.4 248.6 Q 963.2 248.1, 963.1 248.0 L 963.1 252.7 L 962.4 252.7 L 962.4 247.0 L 963.3 247.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 926.8 250.8 L 928.7 253.8 Q 928.9 254.1, 929.2 254.7 Q 929.5 255.2, 929.5 255.2 L 929.5 250.8 L 930.2 250.8 L 930.2 256.5 L 929.5 256.5 L 927.5 253.2 Q 927.2 252.8, 927.0 252.4 Q 926.7 252.0, 926.7 251.8 L 926.7 256.5 L 925.9 256.5 L 925.9 250.8 L 926.8 250.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 984.8,224.7 L 976.7,227.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 976.7,227.6 L 968.6,230.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 968.6,230.5 L 967.0,238.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 964.2,232.2 L 963.1,237.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 963.1,237.9 L 962.0,243.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 956.0,219.7 L 962.3,225.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 962.3,225.1 L 968.6,230.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 962.3,251.1 L 954.1,254.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 954.1,254.0 L 946.0,256.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 946.0,256.9 L 930.8,243.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 946.3,251.9 L 935.7,242.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 930.8,243.9 L 922.2,245.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 922.2,245.0 L 913.5,246.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-8 atom-4\" d=\"M 934.4,224.2 L 930.8,243.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 909.3,243.2 L 905.8,235.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 905.8,235.8 L 902.2,228.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 902.2,228.4 L 916.8,214.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 907.2,229.3 L 917.4,219.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 916.8,214.6 L 934.4,224.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 934.4,224.2 L 942.5,221.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 942.5,221.3 L 950.6,218.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 938.2,227.1 L 943.9,225.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 943.9,225.1 L 949.5,223.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 986.2 220.9 L 988.1 223.9 Q 988.2 224.2, 988.5 224.8 Q 988.8 225.3, 988.8 225.3 L 988.8 220.9 L 989.6 220.9 L 989.6 226.6 L 988.8 226.6 L 986.8 223.3 Q 986.6 222.9, 986.3 222.5 Q 986.1 222.0, 986.0 221.9 L 986.0 226.6 L 985.3 226.6 L 985.3 220.9 L 986.2 220.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 990.3 220.9 L 991.0 220.9 L 991.0 223.3 L 994.0 223.3 L 994.0 220.9 L 994.7 220.9 L 994.7 226.6 L 994.0 226.6 L 994.0 224.0 L 991.0 224.0 L 991.0 226.6 L 990.3 226.6 L 990.3 220.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 995.0 226.4 Q 995.1 226.0, 995.5 225.8 Q 995.8 225.6, 996.2 225.6 Q 996.8 225.6, 997.1 225.9 Q 997.4 226.3, 997.4 226.8 Q 997.4 227.4, 997.0 227.9 Q 996.6 228.4, 995.8 229.0 L 997.5 229.0 L 997.5 229.4 L 995.0 229.4 L 995.0 229.1 Q 995.7 228.6, 996.1 228.2 Q 996.5 227.8, 996.7 227.5 Q 996.9 227.2, 996.9 226.8 Q 996.9 226.5, 996.7 226.3 Q 996.6 226.1, 996.2 226.1 Q 995.9 226.1, 995.7 226.2 Q 995.5 226.3, 995.4 226.6 L 995.0 226.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 963.7 247.3 L 965.5 250.3 Q 965.7 250.6, 966.0 251.2 Q 966.3 251.7, 966.3 251.7 L 966.3 247.3 L 967.1 247.3 L 967.1 253.0 L 966.3 253.0 L 964.3 249.7 Q 964.1 249.3, 963.8 248.9 Q 963.6 248.5, 963.5 248.3 L 963.5 253.0 L 962.8 253.0 L 962.8 247.3 L 963.7 247.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 903.6 243.7 L 904.4 243.7 L 904.4 246.1 L 907.3 246.1 L 907.3 243.7 L 908.1 243.7 L 908.1 249.3 L 907.3 249.3 L 907.3 246.7 L 904.4 246.7 L 904.4 249.3 L 903.6 249.3 L 903.6 243.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 909.6 243.7 L 911.5 246.7 Q 911.7 247.0, 912.0 247.5 Q 912.3 248.0, 912.3 248.1 L 912.3 243.7 L 913.0 243.7 L 913.0 249.3 L 912.3 249.3 L 910.3 246.1 Q 910.0 245.7, 909.8 245.2 Q 909.6 244.8, 909.5 244.7 L 909.5 249.3 L 908.7 249.3 L 908.7 243.7 L 909.6 243.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 952.0 214.6 L 953.9 217.6 Q 954.1 217.9, 954.4 218.5 Q 954.7 219.0, 954.7 219.0 L 954.7 214.6 L 955.5 214.6 L 955.5 220.3 L 954.7 220.3 L 952.7 217.0 Q 952.4 216.6, 952.2 216.2 Q 952.0 215.7, 951.9 215.6 L 951.9 220.3 L 951.1 220.3 L 951.1 214.6 L 952.0 214.6 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 897.5 329.4 L 900.0 329.4 L 900.0 321.0 L 897.3 321.8 L 896.9 320.9 L 900.4 319.3 L 901.5 319.5 L 901.5 329.4 L 903.7 329.4 L 903.7 330.7 L 897.5 330.7 L 897.5 329.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 909.1 318.3 L 910.5 318.3 L 910.5 333.8 L 909.1 333.8 L 909.1 318.3 \" fill=\"#000000\"/>\n",
@@ -2360,34 +2403,35 @@
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        "<path d=\"M 962.4 318.6 L 963.5 318.6 L 963.5 322.0 L 962.4 322.0 L 962.4 318.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1086.9,205.5 L 1088.7,213.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1088.7,213.5 L 1090.5,221.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1090.8,204.6 L 1092.6,212.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1092.6,212.7 L 1094.5,220.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 1111.7,227.1 L 1092.5,221.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1078.6,238.1 L 1080.4,246.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1080.4,246.2 L 1082.3,254.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1082.3,254.3 L 1090.5,256.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1090.5,256.9 L 1098.8,259.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1085.9,251.3 L 1091.7,253.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1091.7,253.0 L 1097.5,254.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1104.1,257.8 L 1110.1,252.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1110.1,252.2 L 1116.1,246.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1116.1,246.6 L 1135.3,252.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1120.2,243.7 L 1133.6,247.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 1111.7,227.1 L 1116.1,246.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1135.3,252.5 L 1150.0,238.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1150.0,238.9 L 1145.5,219.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1145.4,236.8 L 1142.3,223.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1145.5,219.3 L 1126.4,213.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1126.4,213.4 L 1111.7,227.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1126.9,218.4 L 1116.6,228.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1085.4 201.6 Q 1085.4 200.3, 1086.1 199.5 Q 1086.8 198.7, 1088.0 198.7 Q 1089.3 198.7, 1090.0 199.5 Q 1090.6 200.3, 1090.6 201.6 Q 1090.6 203.0, 1090.0 203.8 Q 1089.3 204.6, 1088.0 204.6 Q 1086.8 204.6, 1086.1 203.8 Q 1085.4 203.0, 1085.4 201.6 M 1088.0 203.9 Q 1088.9 203.9, 1089.4 203.3 Q 1089.8 202.8, 1089.8 201.6 Q 1089.8 200.5, 1089.4 199.9 Q 1088.9 199.4, 1088.0 199.4 Q 1087.2 199.4, 1086.7 199.9 Q 1086.2 200.5, 1086.2 201.6 Q 1086.2 202.8, 1086.7 203.3 Q 1087.2 203.9, 1088.0 203.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 1070.5 231.9 L 1071.3 231.9 L 1071.3 234.4 L 1074.2 234.4 L 1074.2 231.9 L 1075.0 231.9 L 1075.0 237.6 L 1074.2 237.6 L 1074.2 235.0 L 1071.3 235.0 L 1071.3 237.6 L 1070.5 237.6 L 1070.5 231.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 1076.5 231.9 L 1078.4 234.9 Q 1078.6 235.2, 1078.9 235.8 Q 1079.2 236.3, 1079.2 236.4 L 1079.2 231.9 L 1080.0 231.9 L 1080.0 237.6 L 1079.2 237.6 L 1077.2 234.3 Q 1076.9 233.9, 1076.7 233.5 Q 1076.5 233.1, 1076.4 232.9 L 1076.4 237.6 L 1075.6 237.6 L 1075.6 231.9 L 1076.5 231.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 1100.2 257.4 L 1102.0 260.4 Q 1102.2 260.7, 1102.5 261.2 Q 1102.8 261.8, 1102.8 261.8 L 1102.8 257.4 L 1103.6 257.4 L 1103.6 263.1 L 1102.8 263.1 L 1100.8 259.8 Q 1100.6 259.4, 1100.3 259.0 Q 1100.1 258.5, 1100.0 258.4 L 1100.0 263.1 L 1099.3 263.1 L 1099.3 257.4 L 1100.2 257.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1062.3,235.7 L 1068.5,216.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1067.0,234.1 L 1071.4,220.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-5 atom-0\" d=\"M 1075.7,250.6 L 1062.3,235.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1068.5,216.7 L 1088.1,212.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1088.1,212.5 L 1101.5,227.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1087.1,217.4 L 1096.5,227.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1101.5,227.4 L 1095.3,246.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-12 atom-3\" d=\"M 1121.6,227.4 L 1101.5,227.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1095.3,246.5 L 1075.7,250.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1091.5,243.2 L 1077.8,246.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 1095.3,246.5 L 1102.1,251.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 1102.1,251.4 L 1108.9,256.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1114.2,256.3 L 1121.0,251.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1121.0,251.4 L 1127.8,246.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1127.8,246.5 L 1136.2,248.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1136.2,248.3 L 1144.7,250.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1131.1,243.1 L 1137.1,244.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1137.1,244.4 L 1143.0,245.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-12 atom-7\" d=\"M 1121.6,227.4 L 1127.8,246.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1150.0,247.7 L 1155.4,241.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1155.4,241.7 L 1160.8,235.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1160.8,235.7 L 1154.6,216.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1156.0,234.1 L 1151.7,220.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1154.6,216.7 L 1135.0,212.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1135.0,212.5 L 1121.6,227.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1135.9,217.4 L 1126.5,227.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-6\" d=\"M 1110.3 255.4 L 1112.1 258.4 Q 1112.3 258.7, 1112.6 259.3 Q 1112.9 259.8, 1112.9 259.8 L 1112.9 255.4 L 1113.7 255.4 L 1113.7 261.1 L 1112.9 261.1 L 1110.9 257.8 Q 1110.7 257.4, 1110.4 257.0 Q 1110.2 256.5, 1110.1 256.4 L 1110.1 261.1 L 1109.4 261.1 L 1109.4 255.4 L 1110.3 255.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 1109.3 261.7 L 1110.1 261.7 L 1110.1 264.1 L 1113.0 264.1 L 1113.0 261.7 L 1113.8 261.7 L 1113.8 267.3 L 1113.0 267.3 L 1113.0 264.7 L 1110.1 264.7 L 1110.1 267.3 L 1109.3 267.3 L 1109.3 261.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 1146.1 247.8 L 1148.0 250.8 Q 1148.2 251.1, 1148.4 251.6 Q 1148.7 252.2, 1148.8 252.2 L 1148.8 247.8 L 1149.5 247.8 L 1149.5 253.5 L 1148.7 253.5 L 1146.7 250.2 Q 1146.5 249.8, 1146.3 249.4 Q 1146.0 248.9, 1145.9 248.8 L 1145.9 253.5 L 1145.2 253.5 L 1145.2 247.8 L 1146.1 247.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1067.5 329.4 L 1070.0 329.4 L 1070.0 321.0 L 1067.3 321.8 L 1066.9 320.9 L 1070.4 319.3 L 1071.5 319.5 L 1071.5 329.4 L 1073.7 329.4 L 1073.7 330.7 L 1067.5 330.7 L 1067.5 329.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 318.3 L 1080.5 318.3 L 1080.5 333.8 L 1079.1 333.8 L 1079.1 318.3 \" fill=\"#000000\"/>\n",
@@ -2403,33 +2447,32 @@
        "<path d=\"M 1128.0 319.4 Q 1129.9 319.4, 1130.9 320.3 Q 1131.9 321.1, 1131.9 322.7 Q 1131.9 324.3, 1130.9 325.2 Q 1129.9 326.1, 1128.0 326.1 L 1126.2 326.1 L 1126.2 330.7 L 1124.6 330.7 L 1124.6 319.4 L 1128.0 319.4 M 1128.0 324.8 Q 1129.1 324.8, 1129.7 324.3 Q 1130.3 323.7, 1130.3 322.7 Q 1130.3 321.7, 1129.7 321.2 Q 1129.1 320.7, 1128.0 320.7 L 1126.2 320.7 L 1126.2 324.8 L 1128.0 324.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.4 318.6 L 1133.5 318.6 L 1133.5 322.0 L 1132.4 322.0 L 1132.4 318.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.2 318.3 L 1137.2 333.8 L 1133.8 333.8 L 1133.8 332.7 L 1135.9 332.7 L 1135.9 319.5 L 1133.8 319.5 L 1133.8 318.3 L 1137.2 318.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 134.8,412.6 L 126.7,409.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 126.7,409.7 L 118.6,406.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 118.6,406.8 L 103.3,419.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 113.7,405.7 L 103.0,414.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 115.5,390.4 L 117.0,398.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 117.0,398.6 L 118.6,406.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 103.3,419.8 L 84.4,413.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 84.4,413.1 L 76.9,417.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 76.9,417.2 L 69.4,421.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-7 atom-3\" d=\"M 80.8,393.4 L 84.4,413.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-7 atom-3\" d=\"M 85.3,395.6 L 87.8,409.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 64.1,420.1 L 58.2,414.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 58.2,414.5 L 52.2,408.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 52.2,408.8 L 60.9,390.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 57.2,407.9 L 63.2,395.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 60.9,390.7 L 80.8,393.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 80.8,393.4 L 96.0,380.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 96.0,380.4 L 104.1,383.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 104.1,383.3 L 112.3,386.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 97.1,385.0 L 102.8,387.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 102.8,387.0 L 108.5,389.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 136.2 410.7 L 138.1 413.7 Q 138.2 414.0, 138.5 414.5 Q 138.8 415.0, 138.8 415.1 L 138.8 410.7 L 139.6 410.7 L 139.6 416.3 L 138.8 416.3 L 136.8 413.1 Q 136.6 412.7, 136.3 412.2 Q 136.1 411.8, 136.0 411.7 L 136.0 416.3 L 135.3 416.3 L 135.3 410.7 L 136.2 410.7 \" fill=\"#0000FF\"/>\n",
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-       "<path class=\"atom-0\" d=\"M 145.0 416.1 Q 145.1 415.8, 145.5 415.6 Q 145.8 415.4, 146.2 415.4 Q 146.8 415.4, 147.1 415.7 Q 147.4 416.0, 147.4 416.6 Q 147.4 417.1, 147.0 417.6 Q 146.6 418.1, 145.8 418.8 L 147.5 418.8 L 147.5 419.2 L 145.0 419.2 L 145.0 418.8 Q 145.7 418.3, 146.1 418.0 Q 146.5 417.6, 146.7 417.3 Q 146.9 416.9, 146.9 416.6 Q 146.9 416.2, 146.7 416.0 Q 146.6 415.8, 146.2 415.8 Q 145.9 415.8, 145.7 415.9 Q 145.5 416.1, 145.4 416.3 L 145.0 416.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 65.5 419.8 L 67.4 422.8 Q 67.6 423.1, 67.9 423.7 Q 68.2 424.2, 68.2 424.2 L 68.2 419.8 L 68.9 419.8 L 68.9 425.5 L 68.2 425.5 L 66.2 422.2 Q 65.9 421.8, 65.7 421.4 Q 65.4 420.9, 65.4 420.8 L 65.4 425.5 L 64.6 425.5 L 64.6 419.8 L 65.5 419.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 64.6 426.1 L 65.3 426.1 L 65.3 428.5 L 68.2 428.5 L 68.2 426.1 L 69.0 426.1 L 69.0 431.7 L 68.2 431.7 L 68.2 429.1 L 65.3 429.1 L 65.3 431.7 L 64.6 431.7 L 64.6 426.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 113.7 384.2 L 115.5 387.3 Q 115.7 387.5, 116.0 388.1 Q 116.3 388.6, 116.3 388.7 L 116.3 384.2 L 117.1 384.2 L 117.1 389.9 L 116.3 389.9 L 114.3 386.6 Q 114.1 386.2, 113.8 385.8 Q 113.6 385.4, 113.5 385.2 L 113.5 389.9 L 112.8 389.9 L 112.8 384.2 L 113.7 384.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 60.7,413.7 L 60.7,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 64.7,410.6 L 64.7,396.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 78.1,423.7 L 60.7,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 60.7,393.6 L 68.1,389.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 68.1,389.4 L 75.4,385.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 80.7,385.1 L 88.1,389.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 88.1,389.4 L 95.4,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 80.9,389.9 L 86.1,392.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 86.1,392.8 L 91.2,395.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 95.4,393.6 L 103.6,390.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 103.6,390.9 L 111.9,388.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-7 atom-3\" d=\"M 95.4,413.7 L 95.4,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 116.9,390.7 L 121.6,397.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 121.6,397.2 L 126.3,403.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 115.1,395.0 L 118.4,399.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 118.4,399.5 L 121.6,404.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 126.3,403.6 L 121.6,410.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 121.6,410.1 L 116.9,416.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 111.9,419.0 L 103.6,416.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 103.6,416.3 L 95.4,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 95.4,413.7 L 78.1,423.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 90.8,411.7 L 78.7,418.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-2\" d=\"M 76.8 380.7 L 78.7 383.7 Q 78.9 384.0, 79.2 384.6 Q 79.5 385.1, 79.5 385.2 L 79.5 380.7 L 80.2 380.7 L 80.2 386.4 L 79.5 386.4 L 77.5 383.1 Q 77.2 382.7, 77.0 382.3 Q 76.7 381.9, 76.7 381.7 L 76.7 386.4 L 75.9 386.4 L 75.9 380.7 L 76.8 380.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 113.3 384.6 L 115.1 387.6 Q 115.3 387.9, 115.6 388.4 Q 115.9 388.9, 115.9 389.0 L 115.9 384.6 L 116.7 384.6 L 116.7 390.2 L 115.9 390.2 L 113.9 387.0 Q 113.7 386.6, 113.4 386.1 Q 113.2 385.7, 113.1 385.6 L 113.1 390.2 L 112.4 390.2 L 112.4 384.6 L 113.3 384.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 113.3 417.0 L 115.1 420.0 Q 115.3 420.3, 115.6 420.8 Q 115.9 421.4, 115.9 421.4 L 115.9 417.0 L 116.7 417.0 L 116.7 422.7 L 115.9 422.7 L 113.9 419.4 Q 113.7 419.0, 113.4 418.6 Q 113.2 418.1, 113.1 418.0 L 113.1 422.7 L 112.4 422.7 L 112.4 417.0 L 113.3 417.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 112.3 423.3 L 113.1 423.3 L 113.1 425.7 L 116.0 425.7 L 116.0 423.3 L 116.7 423.3 L 116.7 428.9 L 116.0 428.9 L 116.0 426.3 L 113.1 426.3 L 113.1 428.9 L 112.3 428.9 L 112.3 423.3 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 499.4 L 50.0 499.4 L 50.0 491.0 L 47.3 491.8 L 46.9 490.9 L 50.4 489.3 L 51.5 489.5 L 51.5 499.4 L 53.7 499.4 L 53.7 500.7 L 47.5 500.7 L 47.5 499.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 488.3 L 60.5 488.3 L 60.5 503.8 L 59.1 503.8 L 59.1 488.3 \" fill=\"#000000\"/>\n",
@@ -2445,32 +2488,34 @@
        "<path d=\"M 108.0 489.4 Q 109.9 489.4, 110.9 490.3 Q 111.9 491.1, 111.9 492.7 Q 111.9 494.3, 110.9 495.2 Q 109.9 496.1, 108.0 496.1 L 106.2 496.1 L 106.2 500.7 L 104.6 500.7 L 104.6 489.4 L 108.0 489.4 M 108.0 494.8 Q 109.1 494.8, 109.7 494.3 Q 110.3 493.7, 110.3 492.7 Q 110.3 491.7, 109.7 491.2 Q 109.1 490.7, 108.0 490.7 L 106.2 490.7 L 106.2 494.8 L 108.0 494.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 112.4 488.6 L 113.5 488.6 L 113.5 492.0 L 112.4 492.0 L 112.4 488.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 488.3 L 117.2 503.8 L 113.8 503.8 L 113.8 502.7 L 115.9 502.7 L 115.9 489.5 L 113.8 489.5 L 113.8 488.3 L 117.2 488.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 230.7,413.7 L 230.7,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 234.7,410.6 L 234.7,396.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 245.4,422.1 L 238.1,417.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 238.1,417.9 L 230.7,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 230.7,393.6 L 238.1,389.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 238.1,389.4 L 245.4,385.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 250.7,385.1 L 258.1,389.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 258.1,389.4 L 265.4,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 250.9,389.9 L 256.1,392.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 256.1,392.8 L 261.2,395.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 265.4,393.6 L 273.6,390.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 273.6,390.9 L 281.9,388.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-7 atom-3\" d=\"M 265.4,413.7 L 265.4,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 286.9,390.7 L 291.6,397.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 291.6,397.2 L 296.3,403.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 296.3,403.6 L 284.5,419.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 291.3,403.7 L 283.0,415.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 284.5,419.8 L 265.4,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 265.4,413.7 L 258.1,417.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 258.1,417.9 L 250.7,422.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 261.2,411.5 L 256.1,414.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 256.1,414.4 L 250.9,417.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-2\" d=\"M 246.8 380.7 L 248.7 383.7 Q 248.9 384.0, 249.2 384.6 Q 249.5 385.1, 249.5 385.2 L 249.5 380.7 L 250.2 380.7 L 250.2 386.4 L 249.5 386.4 L 247.5 383.1 Q 247.2 382.7, 247.0 382.3 Q 246.7 381.9, 246.7 381.7 L 246.7 386.4 L 245.9 386.4 L 245.9 380.7 L 246.8 380.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 283.3 384.6 L 285.1 387.6 Q 285.3 387.9, 285.6 388.4 Q 285.9 388.9, 285.9 389.0 L 285.9 384.6 L 286.7 384.6 L 286.7 390.2 L 285.9 390.2 L 283.9 387.0 Q 283.7 386.6, 283.4 386.1 Q 283.2 385.7, 283.1 385.6 L 283.1 390.2 L 282.4 390.2 L 282.4 384.6 L 283.3 384.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 282.3 378.3 L 283.1 378.3 L 283.1 380.7 L 286.0 380.7 L 286.0 378.3 L 286.7 378.3 L 286.7 384.0 L 286.0 384.0 L 286.0 381.4 L 283.1 381.4 L 283.1 384.0 L 282.3 384.0 L 282.3 378.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 246.8 420.8 L 248.7 423.8 Q 248.9 424.1, 249.2 424.7 Q 249.5 425.2, 249.5 425.2 L 249.5 420.8 L 250.2 420.8 L 250.2 426.5 L 249.5 426.5 L 247.5 423.2 Q 247.2 422.8, 247.0 422.4 Q 246.7 422.0, 246.7 421.8 L 246.7 426.5 L 245.9 426.5 L 245.9 420.8 L 246.8 420.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 236.9,375.5 L 238.7,383.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 238.7,383.5 L 240.5,391.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 240.8,374.6 L 242.6,382.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 242.6,382.7 L 244.5,390.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 242.5,391.1 L 236.5,396.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 236.5,396.7 L 230.5,402.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 261.7,397.1 L 242.5,391.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 228.6,408.1 L 230.4,416.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 230.4,416.2 L 232.3,424.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 232.3,424.3 L 240.5,426.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 240.5,426.9 L 248.8,429.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 235.9,421.3 L 241.7,423.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 241.7,423.0 L 247.5,424.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 254.1,427.8 L 260.1,422.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 260.1,422.2 L 266.1,416.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 266.1,416.6 L 285.3,422.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 270.2,413.7 L 283.6,417.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 261.7,397.1 L 266.1,416.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 285.3,422.5 L 300.0,408.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 300.0,408.9 L 295.5,389.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 295.4,406.8 L 292.3,393.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 295.5,389.3 L 276.4,383.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 276.4,383.4 L 261.7,397.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 276.9,388.4 L 266.6,398.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 235.4 371.6 Q 235.4 370.3, 236.1 369.5 Q 236.8 368.7, 238.0 368.7 Q 239.3 368.7, 240.0 369.5 Q 240.6 370.3, 240.6 371.6 Q 240.6 373.0, 240.0 373.8 Q 239.3 374.6, 238.0 374.6 Q 236.8 374.6, 236.1 373.8 Q 235.4 373.0, 235.4 371.6 M 238.0 373.9 Q 238.9 373.9, 239.4 373.3 Q 239.8 372.8, 239.8 371.6 Q 239.8 370.5, 239.4 369.9 Q 238.9 369.4, 238.0 369.4 Q 237.2 369.4, 236.7 369.9 Q 236.2 370.5, 236.2 371.6 Q 236.2 372.8, 236.7 373.3 Q 237.2 373.9, 238.0 373.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-2\" d=\"M 220.5 401.9 L 221.3 401.9 L 221.3 404.4 L 224.2 404.4 L 224.2 401.9 L 225.0 401.9 L 225.0 407.6 L 224.2 407.6 L 224.2 405.0 L 221.3 405.0 L 221.3 407.6 L 220.5 407.6 L 220.5 401.9 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"atom-4\" d=\"M 250.2 427.4 L 252.0 430.4 Q 252.2 430.7, 252.5 431.2 Q 252.8 431.8, 252.8 431.8 L 252.8 427.4 L 253.6 427.4 L 253.6 433.1 L 252.8 433.1 L 250.8 429.8 Q 250.6 429.4, 250.3 429.0 Q 250.1 428.5, 250.0 428.4 L 250.0 433.1 L 249.3 433.1 L 249.3 427.4 L 250.2 427.4 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 217.5 499.4 L 220.0 499.4 L 220.0 491.0 L 217.3 491.8 L 216.9 490.9 L 220.4 489.3 L 221.5 489.5 L 221.5 499.4 L 223.7 499.4 L 223.7 500.7 L 217.5 500.7 L 217.5 499.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 229.1 488.3 L 230.5 488.3 L 230.5 503.8 L 229.1 503.8 L 229.1 488.3 \" fill=\"#000000\"/>\n",
@@ -2486,63 +2531,41 @@
        "<path d=\"M 278.0 489.4 Q 279.9 489.4, 280.9 490.3 Q 281.9 491.1, 281.9 492.7 Q 281.9 494.3, 280.9 495.2 Q 279.9 496.1, 278.0 496.1 L 276.2 496.1 L 276.2 500.7 L 274.6 500.7 L 274.6 489.4 L 278.0 489.4 M 278.0 494.8 Q 279.1 494.8, 279.7 494.3 Q 280.3 493.7, 280.3 492.7 Q 280.3 491.7, 279.7 491.2 Q 279.1 490.7, 278.0 490.7 L 276.2 490.7 L 276.2 494.8 L 278.0 494.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 282.4 488.6 L 283.5 488.6 L 283.5 492.0 L 282.4 492.0 L 282.4 488.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 287.2 488.3 L 287.2 503.8 L 283.8 503.8 L 283.8 502.7 L 285.9 502.7 L 285.9 489.5 L 283.8 489.5 L 283.8 488.3 L 287.2 488.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 395.8,356.2 L 396.8,364.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 396.8,364.5 L 397.8,372.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 397.8,372.8 L 391.1,377.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 391.1,377.8 L 384.5,382.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 398.2,377.5 L 393.6,381.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 393.6,381.0 L 388.9,384.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-18 atom-18 atom-1\" d=\"M 413.6,379.5 L 405.7,376.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-18 atom-18 atom-1\" d=\"M 405.7,376.2 L 397.8,372.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 382.2,388.2 L 383.2,396.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 383.2,396.4 L 384.2,404.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 384.2,404.7 L 402.6,412.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 388.5,402.2 L 401.4,407.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 402.6,412.6 L 405.0,432.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-19 atom-17 atom-4\" d=\"M 418.7,400.6 L 402.6,412.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 403.8,430.9 L 397.4,435.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 397.4,435.8 L 390.9,440.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 406.2,434.1 L 399.8,439.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 399.8,439.0 L 393.3,443.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 405.0,432.5 L 412.9,435.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 412.9,435.9 L 420.8,439.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 426.1,438.4 L 432.8,433.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 432.8,433.4 L 439.5,428.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 439.5,428.4 L 448.0,430.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 448.0,430.0 L 456.5,431.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 442.8,424.9 L 448.8,426.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 448.8,426.1 L 454.7,427.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-20 atom-16 atom-8\" d=\"M 437.5,411.8 L 438.5,420.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-20 atom-16 atom-8\" d=\"M 438.5,420.1 L 439.5,428.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 461.0,428.9 L 465.0,421.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 465.0,421.8 L 468.9,414.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 468.9,414.7 L 488.5,410.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 471.0,410.1 L 484.7,407.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-21 atom-15 atom-10\" d=\"M 455.3,400.0 L 468.9,414.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 488.5,410.3 L 494.4,391.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 494.4,391.1 L 480.7,376.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 489.4,391.6 L 479.9,381.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 480.7,376.4 L 461.2,380.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 461.2,380.9 L 455.3,400.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 464.1,384.9 L 460.0,398.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 455.3,400.0 L 447.5,403.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 447.5,403.6 L 439.8,407.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 434.4,407.3 L 426.6,403.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 426.6,403.9 L 418.7,400.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 418.7,400.6 L 417.7,392.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 417.7,392.3 L 416.7,384.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 414.4,398.6 L 413.7,392.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 413.7,392.8 L 413.0,387.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 394.2 350.1 L 396.1 353.1 Q 396.2 353.4, 396.5 353.9 Q 396.8 354.4, 396.8 354.5 L 396.8 350.1 L 397.6 350.1 L 397.6 355.7 L 396.8 355.7 L 394.8 352.4 Q 394.6 352.1, 394.3 351.6 Q 394.1 351.2, 394.0 351.0 L 394.0 355.7 L 393.3 355.7 L 393.3 350.1 L 394.2 350.1 \" fill=\"#0000FF\"/>\n",
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-       "<path class=\"atom-2\" d=\"M 380.5 382.0 L 382.4 385.0 Q 382.6 385.3, 382.9 385.8 Q 383.2 386.4, 383.2 386.4 L 383.2 382.0 L 384.0 382.0 L 384.0 387.7 L 383.2 387.7 L 381.2 384.4 Q 380.9 384.0, 380.7 383.5 Q 380.5 383.1, 380.4 383.0 L 380.4 387.7 L 379.6 387.7 L 379.6 382.0 L 380.5 382.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 386.4 444.5 Q 386.4 443.2, 387.1 442.4 Q 387.7 441.7, 389.0 441.7 Q 390.2 441.7, 390.9 442.4 Q 391.6 443.2, 391.6 444.5 Q 391.6 445.9, 390.9 446.7 Q 390.2 447.5, 389.0 447.5 Q 387.7 447.5, 387.1 446.7 Q 386.4 445.9, 386.4 444.5 M 389.0 446.8 Q 389.8 446.8, 390.3 446.3 Q 390.8 445.7, 390.8 444.5 Q 390.8 443.4, 390.3 442.9 Q 389.8 442.3, 389.0 442.3 Q 388.1 442.3, 387.6 442.9 Q 387.2 443.4, 387.2 444.5 Q 387.2 445.7, 387.6 446.3 Q 388.1 446.8, 389.0 446.8 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-7\" d=\"M 422.2 437.5 L 424.1 440.6 Q 424.2 440.8, 424.5 441.4 Q 424.8 441.9, 424.9 442.0 L 424.9 437.5 L 425.6 437.5 L 425.6 443.2 L 424.8 443.2 L 422.8 439.9 Q 422.6 439.6, 422.4 439.1 Q 422.1 438.7, 422.0 438.5 L 422.0 443.2 L 421.3 443.2 L 421.3 437.5 L 422.2 437.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 421.2 443.8 L 422.0 443.8 L 422.0 446.2 L 424.9 446.2 L 424.9 443.8 L 425.7 443.8 L 425.7 449.5 L 424.9 449.5 L 424.9 446.8 L 422.0 446.8 L 422.0 449.5 L 421.2 449.5 L 421.2 443.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 457.9 429.4 L 459.8 432.4 Q 460.0 432.7, 460.3 433.2 Q 460.6 433.8, 460.6 433.8 L 460.6 429.4 L 461.3 429.4 L 461.3 435.1 L 460.5 435.1 L 458.5 431.8 Q 458.3 431.4, 458.1 431.0 Q 457.8 430.5, 457.8 430.4 L 457.8 435.1 L 457.0 435.1 L 457.0 429.4 L 457.9 429.4 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 381.3,424.7 L 387.7,419.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 387.7,419.4 L 394.0,414.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 394.0,414.1 L 392.6,405.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 392.6,405.9 L 391.2,397.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-12 atom-12 atom-1\" d=\"M 410.2,420.0 L 402.1,417.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-1\" d=\"M 402.1,417.0 L 394.0,414.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 393.3,392.1 L 399.6,386.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 399.6,386.8 L 406.0,381.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 406.0,381.5 L 424.8,388.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 407.4,386.3 L 420.6,391.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 424.8,388.4 L 440.2,375.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-11 atom-4\" d=\"M 428.2,408.1 L 424.8,388.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 440.2,375.5 L 459.0,382.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 441.6,380.3 L 454.8,385.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 459.0,382.4 L 462.5,402.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 462.5,402.2 L 481.3,409.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-7 atom-10\" d=\"M 462.5,402.2 L 447.1,415.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-7 atom-10\" d=\"M 457.6,401.0 L 446.8,410.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 479.3,409.4 L 480.7,417.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 480.7,417.6 L 482.2,425.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 483.3,408.7 L 484.7,416.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 484.7,416.9 L 486.1,425.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 447.1,415.0 L 428.2,408.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 428.2,408.1 L 421.9,413.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 421.9,413.4 L 415.5,418.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 423.8,406.6 L 419.3,410.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 419.3,410.4 L 414.9,414.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 368.6 424.1 L 369.4 424.1 L 369.4 426.5 L 372.3 426.5 L 372.3 424.1 L 373.0 424.1 L 373.0 429.8 L 372.3 429.8 L 372.3 427.1 L 369.4 427.1 L 369.4 429.8 L 368.6 429.8 L 368.6 424.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 373.3 429.6 Q 373.5 429.2, 373.8 429.0 Q 374.1 428.8, 374.6 428.8 Q 375.1 428.8, 375.5 429.1 Q 375.8 429.4, 375.8 430.0 Q 375.8 430.5, 375.4 431.1 Q 375.0 431.6, 374.1 432.2 L 375.8 432.2 L 375.8 432.6 L 373.3 432.6 L 373.3 432.3 Q 374.0 431.8, 374.4 431.4 Q 374.8 431.0, 375.0 430.7 Q 375.2 430.3, 375.2 430.0 Q 375.2 429.6, 375.1 429.4 Q 374.9 429.2, 374.6 429.2 Q 374.3 429.2, 374.1 429.4 Q 373.9 429.5, 373.7 429.8 L 373.3 429.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 377.4 424.1 L 379.3 427.1 Q 379.4 427.4, 379.7 427.9 Q 380.0 428.5, 380.1 428.5 L 380.1 424.1 L 380.8 424.1 L 380.8 429.8 L 380.0 429.8 L 378.0 426.5 Q 377.8 426.1, 377.6 425.7 Q 377.3 425.2, 377.2 425.1 L 377.2 429.8 L 376.5 429.8 L 376.5 424.1 L 377.4 424.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 389.3 391.5 L 391.2 394.5 Q 391.4 394.8, 391.7 395.3 Q 392.0 395.9, 392.0 395.9 L 392.0 391.5 L 392.8 391.5 L 392.8 397.2 L 392.0 397.2 L 390.0 393.9 Q 389.7 393.5, 389.5 393.1 Q 389.3 392.6, 389.2 392.5 L 389.2 397.2 L 388.4 397.2 L 388.4 391.5 L 389.3 391.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 482.1 428.8 Q 482.1 427.4, 482.8 426.7 Q 483.5 425.9, 484.7 425.9 Q 486.0 425.9, 486.7 426.7 Q 487.3 427.4, 487.3 428.8 Q 487.3 430.2, 486.6 431.0 Q 486.0 431.8, 484.7 431.8 Q 483.5 431.8, 482.8 431.0 Q 482.1 430.2, 482.1 428.8 M 484.7 431.1 Q 485.6 431.1, 486.1 430.5 Q 486.5 430.0, 486.5 428.8 Q 486.5 427.7, 486.1 427.1 Q 485.6 426.6, 484.7 426.6 Q 483.9 426.6, 483.4 427.1 Q 482.9 427.7, 482.9 428.8 Q 482.9 430.0, 483.4 430.5 Q 483.9 431.1, 484.7 431.1 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-12\" d=\"M 411.6 418.1 L 413.5 421.1 Q 413.7 421.4, 414.0 422.0 Q 414.2 422.5, 414.3 422.5 L 414.3 418.1 L 415.0 418.1 L 415.0 423.8 L 414.2 423.8 L 412.2 420.5 Q 412.0 420.1, 411.8 419.7 Q 411.5 419.3, 411.4 419.1 L 411.4 423.8 L 410.7 423.8 L 410.7 418.1 L 411.6 418.1 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 387.5 499.4 L 390.0 499.4 L 390.0 491.0 L 387.3 491.8 L 386.9 490.9 L 390.4 489.3 L 391.5 489.5 L 391.5 499.4 L 393.7 499.4 L 393.7 500.7 L 387.5 500.7 L 387.5 499.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 399.1 488.3 L 400.5 488.3 L 400.5 503.8 L 399.1 503.8 L 399.1 488.3 \" fill=\"#000000\"/>\n",
@@ -2558,32 +2581,30 @@
        "<path d=\"M 448.0 489.4 Q 449.9 489.4, 450.9 490.3 Q 451.9 491.1, 451.9 492.7 Q 451.9 494.3, 450.9 495.2 Q 449.9 496.1, 448.0 496.1 L 446.2 496.1 L 446.2 500.7 L 444.6 500.7 L 444.6 489.4 L 448.0 489.4 M 448.0 494.8 Q 449.1 494.8, 449.7 494.3 Q 450.3 493.7, 450.3 492.7 Q 450.3 491.7, 449.7 491.2 Q 449.1 490.7, 448.0 490.7 L 446.2 490.7 L 446.2 494.8 L 448.0 494.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 452.4 488.6 L 453.5 488.6 L 453.5 492.0 L 452.4 492.0 L 452.4 488.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 457.2 488.3 L 457.2 503.8 L 453.8 503.8 L 453.8 502.7 L 455.9 502.7 L 455.9 489.5 L 453.8 489.5 L 453.8 488.3 L 457.2 488.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 570.7,413.7 L 570.7,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 574.7,410.6 L 574.7,396.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 588.1,423.7 L 570.7,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 570.7,393.6 L 578.1,389.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 578.1,389.4 L 585.4,385.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 590.7,385.1 L 598.1,389.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 598.1,389.4 L 605.4,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 590.9,389.9 L 596.1,392.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 596.1,392.8 L 601.2,395.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 605.4,393.6 L 613.6,390.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 613.6,390.9 L 621.9,388.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-7 atom-3\" d=\"M 605.4,413.7 L 605.4,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 626.9,390.7 L 631.6,397.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 631.6,397.2 L 636.3,403.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 625.1,395.0 L 628.4,399.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 628.4,399.5 L 631.6,404.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 636.3,403.6 L 631.6,410.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 631.6,410.1 L 626.9,416.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 621.9,419.0 L 613.6,416.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 613.6,416.3 L 605.4,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 605.4,413.7 L 588.1,423.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 600.8,411.7 L 588.7,418.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-2\" d=\"M 586.8 380.7 L 588.7 383.7 Q 588.9 384.0, 589.2 384.6 Q 589.5 385.1, 589.5 385.2 L 589.5 380.7 L 590.2 380.7 L 590.2 386.4 L 589.5 386.4 L 587.5 383.1 Q 587.2 382.7, 587.0 382.3 Q 586.7 381.9, 586.7 381.7 L 586.7 386.4 L 585.9 386.4 L 585.9 380.7 L 586.8 380.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 623.3 384.6 L 625.1 387.6 Q 625.3 387.9, 625.6 388.4 Q 625.9 388.9, 625.9 389.0 L 625.9 384.6 L 626.7 384.6 L 626.7 390.2 L 625.9 390.2 L 623.9 387.0 Q 623.7 386.6, 623.4 386.1 Q 623.2 385.7, 623.1 385.6 L 623.1 390.2 L 622.4 390.2 L 622.4 384.6 L 623.3 384.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 623.3 417.0 L 625.1 420.0 Q 625.3 420.3, 625.6 420.8 Q 625.9 421.4, 625.9 421.4 L 625.9 417.0 L 626.7 417.0 L 626.7 422.7 L 625.9 422.7 L 623.9 419.4 Q 623.7 419.0, 623.4 418.6 Q 623.2 418.1, 623.1 418.0 L 623.1 422.7 L 622.4 422.7 L 622.4 417.0 L 623.3 417.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 622.3 423.3 L 623.1 423.3 L 623.1 425.7 L 626.0 425.7 L 626.0 423.3 L 626.7 423.3 L 626.7 428.9 L 626.0 428.9 L 626.0 426.3 L 623.1 426.3 L 623.1 428.9 L 622.3 428.9 L 622.3 423.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 636.3,413.7 L 618.9,423.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 631.6,411.7 L 619.5,418.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-0\" d=\"M 636.3,396.9 L 636.3,405.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-0\" d=\"M 636.3,405.3 L 636.3,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 618.9,423.7 L 601.5,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 601.5,413.7 L 584.2,423.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 596.9,411.7 L 584.8,418.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-7 atom-2\" d=\"M 601.5,393.6 L 601.5,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 584.2,423.7 L 576.8,419.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 576.8,419.4 L 569.5,415.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 566.8,410.3 L 566.8,402.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 566.8,402.0 L 566.8,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 570.8,407.8 L 570.8,402.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 570.8,402.0 L 570.8,396.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 566.8,393.6 L 584.2,383.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 601.5,393.6 L 618.9,383.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 618.9,383.6 L 626.2,387.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 626.2,387.8 L 633.6,392.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 619.1,388.3 L 624.2,391.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 624.2,391.3 L 629.4,394.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-4\" d=\"M 565.6 410.8 L 567.4 413.8 Q 567.6 414.1, 567.9 414.7 Q 568.2 415.2, 568.2 415.2 L 568.2 410.8 L 569.0 410.8 L 569.0 416.5 L 568.2 416.5 L 566.2 413.2 Q 566.0 412.8, 565.7 412.4 Q 565.5 411.9, 565.4 411.8 L 565.4 416.5 L 564.7 416.5 L 564.7 410.8 L 565.6 410.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 635.0 390.8 L 636.9 393.8 Q 637.0 394.1, 637.3 394.6 Q 637.6 395.1, 637.7 395.2 L 637.7 390.8 L 638.4 390.8 L 638.4 396.4 L 637.6 396.4 L 635.6 393.2 Q 635.4 392.8, 635.2 392.3 Q 634.9 391.9, 634.8 391.8 L 634.8 396.4 L 634.1 396.4 L 634.1 390.8 L 635.0 390.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 557.5 499.4 L 560.0 499.4 L 560.0 491.0 L 557.3 491.8 L 556.9 490.9 L 560.4 489.3 L 561.5 489.5 L 561.5 499.4 L 563.7 499.4 L 563.7 500.7 L 557.5 500.7 L 557.5 499.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 569.1 488.3 L 570.5 488.3 L 570.5 503.8 L 569.1 503.8 L 569.1 488.3 \" fill=\"#000000\"/>\n",
@@ -2599,27 +2620,30 @@
        "<path d=\"M 618.0 489.4 Q 619.9 489.4, 620.9 490.3 Q 621.9 491.1, 621.9 492.7 Q 621.9 494.3, 620.9 495.2 Q 619.9 496.1, 618.0 496.1 L 616.2 496.1 L 616.2 500.7 L 614.6 500.7 L 614.6 489.4 L 618.0 489.4 M 618.0 494.8 Q 619.1 494.8, 619.7 494.3 Q 620.3 493.7, 620.3 492.7 Q 620.3 491.7, 619.7 491.2 Q 619.1 490.7, 618.0 490.7 L 616.2 490.7 L 616.2 494.8 L 618.0 494.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 622.4 488.6 L 623.5 488.6 L 623.5 492.0 L 622.4 492.0 L 622.4 488.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 627.2 488.3 L 627.2 503.8 L 623.8 503.8 L 623.8 502.7 L 625.9 502.7 L 625.9 489.5 L 623.8 489.5 L 623.8 488.3 L 627.2 488.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 721.9,392.9 L 740.6,400.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 740.6,400.2 L 743.7,420.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 745.1,402.5 L 747.2,416.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 756.2,387.6 L 740.6,400.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 743.7,420.0 L 762.4,427.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 762.4,427.2 L 778.0,414.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 762.3,422.2 L 773.2,413.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 778.0,414.6 L 786.1,417.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 786.1,417.7 L 794.1,420.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 774.9,394.8 L 778.0,414.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 799.4,419.7 L 805.9,414.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 805.9,414.5 L 812.3,409.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 798.8,415.0 L 803.4,411.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 803.4,411.3 L 807.9,407.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 812.3,409.2 L 809.2,389.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 809.2,389.4 L 790.5,382.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 805.0,392.1 L 791.9,387.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 790.5,382.2 L 774.9,394.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 774.9,394.8 L 756.2,387.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 770.7,397.5 L 757.6,392.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-5\" d=\"M 795.5 419.0 L 797.3 422.0 Q 797.5 422.3, 797.8 422.8 Q 798.1 423.4, 798.1 423.4 L 798.1 419.0 L 798.9 419.0 L 798.9 424.7 L 798.1 424.7 L 796.1 421.4 Q 795.9 421.0, 795.6 420.5 Q 795.4 420.1, 795.3 420.0 L 795.3 424.7 L 794.6 424.7 L 794.6 419.0 L 795.5 419.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 736.8,413.7 L 736.8,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 740.8,410.6 L 740.8,396.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-0\" d=\"M 754.2,423.7 L 736.8,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 736.8,393.6 L 744.2,389.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 744.2,389.4 L 751.5,385.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 756.8,385.1 L 764.2,389.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 764.2,389.4 L 771.5,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 757.0,389.9 L 762.2,392.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 762.2,392.8 L 767.3,395.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 771.5,393.6 L 788.9,383.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-8 atom-3\" d=\"M 771.5,413.7 L 771.5,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 788.9,383.6 L 806.3,393.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 789.5,388.6 L 801.6,395.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 806.3,393.6 L 806.3,402.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 806.3,402.0 L 806.3,410.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 803.6,415.2 L 796.2,419.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 796.2,419.4 L 788.9,423.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 799.4,413.0 L 794.2,416.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 794.2,416.0 L 789.1,418.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 788.9,423.7 L 771.5,413.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 771.5,413.7 L 754.2,423.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 766.9,411.7 L 754.8,418.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-2\" d=\"M 752.9 380.7 L 754.8 383.7 Q 755.0 384.0, 755.3 384.6 Q 755.6 385.1, 755.6 385.2 L 755.6 380.7 L 756.3 380.7 L 756.3 386.4 L 755.5 386.4 L 753.5 383.1 Q 753.3 382.7, 753.1 382.3 Q 752.8 381.9, 752.8 381.7 L 752.8 386.4 L 752.0 386.4 L 752.0 380.7 L 752.9 380.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 805.0 410.8 L 806.9 413.8 Q 807.0 414.1, 807.3 414.7 Q 807.6 415.2, 807.7 415.2 L 807.7 410.8 L 808.4 410.8 L 808.4 416.5 L 807.6 416.5 L 805.6 413.2 Q 805.4 412.8, 805.2 412.4 Q 804.9 411.9, 804.8 411.8 L 804.8 416.5 L 804.1 416.5 L 804.1 410.8 L 805.0 410.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 727.5 499.4 L 730.0 499.4 L 730.0 491.0 L 727.3 491.8 L 726.9 490.9 L 730.4 489.3 L 731.5 489.5 L 731.5 499.4 L 733.7 499.4 L 733.7 500.7 L 727.5 500.7 L 727.5 499.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 739.1 488.3 L 740.5 488.3 L 740.5 503.8 L 739.1 503.8 L 739.1 488.3 \" fill=\"#000000\"/>\n",
@@ -2635,32 +2659,34 @@
        "<path d=\"M 788.0 489.4 Q 789.9 489.4, 790.9 490.3 Q 791.9 491.1, 791.9 492.7 Q 791.9 494.3, 790.9 495.2 Q 789.9 496.1, 788.0 496.1 L 786.2 496.1 L 786.2 500.7 L 784.6 500.7 L 784.6 489.4 L 788.0 489.4 M 788.0 494.8 Q 789.1 494.8, 789.7 494.3 Q 790.3 493.7, 790.3 492.7 Q 790.3 491.7, 789.7 491.2 Q 789.1 490.7, 788.0 490.7 L 786.2 490.7 L 786.2 494.8 L 788.0 494.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 792.4 488.6 L 793.5 488.6 L 793.5 492.0 L 792.4 492.0 L 792.4 488.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 797.2 488.3 L 797.2 503.8 L 793.8 503.8 L 793.8 502.7 L 795.9 502.7 L 795.9 489.5 L 793.8 489.5 L 793.8 488.3 L 797.2 488.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 962.2,375.8 L 959.9,383.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 959.9,383.7 L 957.6,391.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 957.6,391.6 L 971.5,406.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 956.8,396.5 L 966.5,406.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 938.2,396.4 L 957.6,391.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 965.9,425.3 L 957.5,427.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 957.5,427.4 L 949.1,429.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 932.6,415.7 L 923.9,415.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 923.9,415.9 L 915.2,416.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 938.2,396.4 L 932.6,415.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 941.2,400.4 L 937.3,413.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 911.3,413.0 L 908.5,405.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 908.5,405.2 L 905.7,397.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 905.7,397.5 L 921.6,385.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 910.6,398.8 L 921.6,390.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 921.6,385.1 L 938.2,396.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 960.6 372.3 Q 960.6 371.0, 961.2 370.2 Q 961.9 369.5, 963.2 369.5 Q 964.4 369.5, 965.1 370.2 Q 965.8 371.0, 965.8 372.3 Q 965.8 373.7, 965.1 374.5 Q 964.4 375.3, 963.2 375.3 Q 961.9 375.3, 961.2 374.5 Q 960.6 373.7, 960.6 372.3 M 963.2 374.6 Q 964.0 374.6, 964.5 374.1 Q 965.0 373.5, 965.0 372.3 Q 965.0 371.2, 964.5 370.7 Q 964.0 370.1, 963.2 370.1 Q 962.3 370.1, 961.8 370.7 Q 961.4 371.2, 961.4 372.3 Q 961.4 373.5, 961.8 374.1 Q 962.3 374.6, 963.2 374.6 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-0\" d=\"M 966.5 369.5 L 967.2 369.5 L 967.2 371.9 L 970.1 371.9 L 970.1 369.5 L 970.9 369.5 L 970.9 375.2 L 970.1 375.2 L 970.1 372.6 L 967.2 372.6 L 967.2 375.2 L 966.5 375.2 L 966.5 369.5 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-4\" d=\"M 945.2 427.3 L 947.1 430.3 Q 947.3 430.6, 947.6 431.1 Q 947.9 431.6, 947.9 431.7 L 947.9 427.3 L 948.6 427.3 L 948.6 432.9 L 947.9 432.9 L 945.9 429.7 Q 945.6 429.3, 945.4 428.8 Q 945.1 428.4, 945.1 428.2 L 945.1 432.9 L 944.3 432.9 L 944.3 427.3 L 945.2 427.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 905.3 413.5 L 906.1 413.5 L 906.1 415.9 L 909.0 415.9 L 909.0 413.5 L 909.7 413.5 L 909.7 419.1 L 909.0 419.1 L 909.0 416.5 L 906.1 416.5 L 906.1 419.1 L 905.3 419.1 L 905.3 413.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 911.3 413.5 L 913.2 416.5 Q 913.3 416.8, 913.6 417.3 Q 913.9 417.8, 914.0 417.9 L 914.0 413.5 L 914.7 413.5 L 914.7 419.1 L 913.9 419.1 L 911.9 415.9 Q 911.7 415.5, 911.4 415.0 Q 911.2 414.6, 911.1 414.5 L 911.1 419.1 L 910.4 419.1 L 910.4 413.5 L 911.3 413.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 889.9,412.3 L 898.0,409.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 898.0,409.8 L 906.0,407.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 888.8,408.4 L 896.8,406.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 896.8,406.0 L 904.9,403.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 905.4,405.5 L 910.0,386.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 917.4,416.7 L 911.4,411.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 911.4,411.1 L 905.4,405.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 910.0,386.0 L 929.2,380.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 914.0,388.9 L 927.5,384.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 929.2,380.2 L 943.8,393.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 943.8,393.9 L 963.0,388.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 947.9,396.8 L 961.3,392.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-4\" d=\"M 939.2,413.4 L 943.8,393.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 963.0,388.1 L 977.6,401.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 977.6,401.8 L 985.9,399.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 985.9,399.3 L 994.1,396.8\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 977.6,401.8 L 973.1,421.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 973.0,403.8 L 969.8,417.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 973.1,421.3 L 953.9,427.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 953.9,427.1 L 939.2,413.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 954.4,422.1 L 944.2,412.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 939.2,413.4 L 931.0,415.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 931.0,415.9 L 922.7,418.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 883.6 411.3 Q 883.6 409.9, 884.3 409.2 Q 885.0 408.4, 886.2 408.4 Q 887.5 408.4, 888.2 409.2 Q 888.9 409.9, 888.9 411.3 Q 888.9 412.7, 888.2 413.5 Q 887.5 414.2, 886.2 414.2 Q 885.0 414.2, 884.3 413.5 Q 883.6 412.7, 883.6 411.3 M 886.2 413.6 Q 887.1 413.6, 887.6 413.0 Q 888.1 412.4, 888.1 411.3 Q 888.1 410.2, 887.6 409.6 Q 887.1 409.1, 886.2 409.1 Q 885.4 409.1, 884.9 409.6 Q 884.4 410.2, 884.4 411.3 Q 884.4 412.4, 884.9 413.0 Q 885.4 413.6, 886.2 413.6 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-7\" d=\"M 994.6 396.2 Q 994.6 394.8, 995.3 394.0 Q 995.9 393.3, 997.2 393.3 Q 998.4 393.3, 999.0 394.1 L 998.5 394.5 Q 998.0 393.9, 997.2 393.9 Q 996.3 393.9, 995.9 394.5 Q 995.4 395.1, 995.4 396.2 Q 995.4 397.3, 995.9 397.9 Q 996.4 398.4, 997.3 398.4 Q 997.9 398.4, 998.7 398.1 L 998.9 398.7 Q 998.6 398.9, 998.1 399.0 Q 997.7 399.1, 997.2 399.1 Q 995.9 399.1, 995.3 398.3 Q 994.6 397.6, 994.6 396.2 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-7\" d=\"M 999.7 392.9 L 1000.4 392.9 L 1000.4 399.0 L 999.7 399.0 L 999.7 392.9 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-11\" d=\"M 918.8 416.4 L 920.7 419.4 Q 920.9 419.7, 921.1 420.2 Q 921.4 420.7, 921.5 420.8 L 921.5 416.4 L 922.2 416.4 L 922.2 422.0 L 921.4 422.0 L 919.4 418.7 Q 919.2 418.4, 919.0 417.9 Q 918.7 417.5, 918.6 417.3 L 918.6 422.0 L 917.9 422.0 L 917.9 416.4 L 918.8 416.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 917.8 422.6 L 918.6 422.6 L 918.6 425.0 L 921.5 425.0 L 921.5 422.6 L 922.3 422.6 L 922.3 428.3 L 921.5 428.3 L 921.5 425.7 L 918.6 425.7 L 918.6 428.3 L 917.8 428.3 L 917.8 422.6 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 897.5 499.4 L 900.0 499.4 L 900.0 491.0 L 897.3 491.8 L 896.9 490.9 L 900.4 489.3 L 901.5 489.5 L 901.5 499.4 L 903.7 499.4 L 903.7 500.7 L 897.5 500.7 L 897.5 499.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 909.1 488.3 L 910.5 488.3 L 910.5 503.8 L 909.1 503.8 L 909.1 488.3 \" fill=\"#000000\"/>\n",
@@ -2676,39 +2702,35 @@
        "<path d=\"M 958.0 489.4 Q 959.9 489.4, 960.9 490.3 Q 961.9 491.1, 961.9 492.7 Q 961.9 494.3, 960.9 495.2 Q 959.9 496.1, 958.0 496.1 L 956.2 496.1 L 956.2 500.7 L 954.6 500.7 L 954.6 489.4 L 958.0 489.4 M 958.0 494.8 Q 959.1 494.8, 959.7 494.3 Q 960.3 493.7, 960.3 492.7 Q 960.3 491.7, 959.7 491.2 Q 959.1 490.7, 958.0 490.7 L 956.2 490.7 L 956.2 494.8 L 958.0 494.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 962.4 488.6 L 963.5 488.6 L 963.5 492.0 L 962.4 492.0 L 962.4 488.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 967.2 488.3 L 967.2 503.8 L 963.8 503.8 L 963.8 502.7 L 965.9 502.7 L 965.9 489.5 L 963.8 489.5 L 963.8 488.3 L 967.2 488.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1159.9,411.8 L 1154.4,405.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1154.4,405.9 L 1148.8,400.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1150.8,400.6 L 1153.1,392.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1153.1,392.7 L 1155.5,384.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1146.9,399.5 L 1149.3,391.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1149.3,391.6 L 1151.7,383.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-1 atom-3\" d=\"M 1148.8,400.0 L 1129.3,404.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1129.3,404.6 L 1123.5,423.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1124.6,406.3 L 1120.6,419.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-3\" d=\"M 1115.6,390.0 L 1129.3,404.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1123.5,423.8 L 1104.0,428.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1104.0,428.4 L 1090.3,413.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1104.9,423.5 L 1095.3,413.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1090.3,413.8 L 1081.6,414.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1081.6,414.0 L 1072.9,414.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-6\" d=\"M 1096.1,394.6 L 1090.3,413.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1069.1,410.9 L 1066.4,403.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1066.4,403.1 L 1063.6,395.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1072.1,407.2 L 1070.2,401.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1070.2,401.8 L 1068.2,396.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1063.6,395.3 L 1070.3,390.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1070.3,390.3 L 1076.9,385.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1082.3,385.0 L 1089.2,389.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1089.2,389.8 L 1096.1,394.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1096.1,394.6 L 1115.6,390.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1099.9,397.8 L 1113.6,394.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1161.3 411.8 L 1163.2 414.8 Q 1163.4 415.1, 1163.7 415.6 Q 1164.0 416.2, 1164.0 416.2 L 1164.0 411.8 L 1164.7 411.8 L 1164.7 417.5 L 1163.9 417.5 L 1162.0 414.2 Q 1161.7 413.8, 1161.5 413.4 Q 1161.2 412.9, 1161.2 412.8 L 1161.2 417.5 L 1160.4 417.5 L 1160.4 411.8 L 1161.3 411.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1165.4 411.8 L 1166.2 411.8 L 1166.2 414.2 L 1169.1 414.2 L 1169.1 411.8 L 1169.9 411.8 L 1169.9 417.5 L 1169.1 417.5 L 1169.1 414.8 L 1166.2 414.8 L 1166.2 417.5 L 1165.4 417.5 L 1165.4 411.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1170.1 417.3 Q 1170.3 416.9, 1170.6 416.7 Q 1170.9 416.5, 1171.4 416.5 Q 1171.9 416.5, 1172.3 416.8 Q 1172.6 417.1, 1172.6 417.7 Q 1172.6 418.2, 1172.2 418.8 Q 1171.8 419.3, 1170.9 419.9 L 1172.6 419.9 L 1172.6 420.3 L 1170.1 420.3 L 1170.1 420.0 Q 1170.8 419.5, 1171.2 419.1 Q 1171.6 418.7, 1171.8 418.4 Q 1172.0 418.1, 1172.0 417.7 Q 1172.0 417.3, 1171.9 417.1 Q 1171.7 416.9, 1171.4 416.9 Q 1171.1 416.9, 1170.9 417.1 Q 1170.7 417.2, 1170.5 417.5 L 1170.1 417.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 1152.0 380.8 Q 1152.0 379.5, 1152.7 378.7 Q 1153.4 378.0, 1154.6 378.0 Q 1155.9 378.0, 1156.6 378.7 Q 1157.2 379.5, 1157.2 380.8 Q 1157.2 382.2, 1156.5 383.0 Q 1155.9 383.8, 1154.6 383.8 Q 1153.4 383.8, 1152.7 383.0 Q 1152.0 382.2, 1152.0 380.8 M 1154.6 383.2 Q 1155.5 383.2, 1155.9 382.6 Q 1156.4 382.0, 1156.4 380.8 Q 1156.4 379.7, 1155.9 379.2 Q 1155.5 378.6, 1154.6 378.6 Q 1153.8 378.6, 1153.3 379.2 Q 1152.8 379.7, 1152.8 380.8 Q 1152.8 382.0, 1153.3 382.6 Q 1153.8 383.2, 1154.6 383.2 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-7\" d=\"M 1069.0 411.4 L 1070.9 414.4 Q 1071.0 414.7, 1071.3 415.2 Q 1071.6 415.8, 1071.7 415.8 L 1071.7 411.4 L 1072.4 411.4 L 1072.4 417.1 L 1071.6 417.1 L 1069.6 413.8 Q 1069.4 413.4, 1069.1 413.0 Q 1068.9 412.5, 1068.8 412.4 L 1068.8 417.1 L 1068.1 417.1 L 1068.1 411.4 L 1069.0 411.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 1078.3 380.3 L 1080.2 383.4 Q 1080.4 383.6, 1080.7 384.2 Q 1081.0 384.7, 1081.0 384.8 L 1081.0 380.3 L 1081.8 380.3 L 1081.8 386.0 L 1081.0 386.0 L 1079.0 382.7 Q 1078.7 382.3, 1078.5 381.9 Q 1078.3 381.5, 1078.2 381.3 L 1078.2 386.0 L 1077.5 386.0 L 1077.5 380.3 L 1078.3 380.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 1077.4 374.1 L 1078.2 374.1 L 1078.2 376.5 L 1081.1 376.5 L 1081.1 374.1 L 1081.8 374.1 L 1081.8 379.8 L 1081.1 379.8 L 1081.1 377.2 L 1078.2 377.2 L 1078.2 379.8 L 1077.4 379.8 L 1077.4 374.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1064.6,413.3 L 1072.6,410.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1072.6,410.2 L 1080.6,407.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1080.6,407.1 L 1096.2,419.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1085.5,405.9 L 1096.4,414.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 1083.2,390.6 L 1081.9,398.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 1081.9,398.9 L 1080.6,407.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1096.2,419.7 L 1114.9,412.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1114.9,412.5 L 1121.4,417.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1121.4,417.7 L 1127.9,422.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1119.4,410.9 L 1123.9,414.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1123.9,414.6 L 1128.5,418.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-8 atom-3\" d=\"M 1118.0,392.7 L 1114.9,412.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1133.2,424.0 L 1141.2,420.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1141.2,420.9 L 1149.2,417.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1149.2,417.8 L 1152.3,398.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1145.8,414.2 L 1147.9,400.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1152.3,398.0 L 1136.7,385.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1136.7,385.4 L 1118.0,392.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1135.4,390.3 L 1122.3,395.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1118.0,392.7 L 1102.4,380.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1102.4,380.1 L 1094.4,383.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1094.4,383.2 L 1086.4,386.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1101.5,384.7 L 1095.9,386.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1095.9,386.9 L 1090.2,389.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1051.9 411.5 L 1052.7 411.5 L 1052.7 413.9 L 1055.6 413.9 L 1055.6 411.5 L 1056.3 411.5 L 1056.3 417.2 L 1055.6 417.2 L 1055.6 414.5 L 1052.7 414.5 L 1052.7 417.2 L 1051.9 417.2 L 1051.9 411.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1056.6 417.0 Q 1056.7 416.6, 1057.1 416.4 Q 1057.4 416.2, 1057.9 416.2 Q 1058.4 416.2, 1058.7 416.5 Q 1059.1 416.8, 1059.1 417.4 Q 1059.1 417.9, 1058.6 418.4 Q 1058.2 419.0, 1057.4 419.6 L 1059.1 419.6 L 1059.1 420.0 L 1056.6 420.0 L 1056.6 419.6 Q 1057.3 419.1, 1057.7 418.8 Q 1058.1 418.4, 1058.3 418.1 Q 1058.5 417.7, 1058.5 417.4 Q 1058.5 417.0, 1058.3 416.8 Q 1058.2 416.6, 1057.9 416.6 Q 1057.5 416.6, 1057.3 416.7 Q 1057.1 416.9, 1057.0 417.1 L 1056.6 417.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1060.7 411.5 L 1062.5 414.5 Q 1062.7 414.8, 1063.0 415.3 Q 1063.3 415.9, 1063.3 415.9 L 1063.3 411.5 L 1064.1 411.5 L 1064.1 417.2 L 1063.3 417.2 L 1061.3 413.9 Q 1061.1 413.5, 1060.8 413.0 Q 1060.6 412.6, 1060.5 412.5 L 1060.5 417.2 L 1059.8 417.2 L 1059.8 411.5 L 1060.7 411.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 1129.3 422.2 L 1131.2 425.2 Q 1131.3 425.5, 1131.6 426.1 Q 1131.9 426.6, 1131.9 426.6 L 1131.9 422.2 L 1132.7 422.2 L 1132.7 427.9 L 1131.9 427.9 L 1129.9 424.6 Q 1129.7 424.2, 1129.4 423.8 Q 1129.2 423.3, 1129.1 423.2 L 1129.1 427.9 L 1128.4 427.9 L 1128.4 422.2 L 1129.3 422.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 1082.5 384.4 L 1084.3 387.5 Q 1084.5 387.8, 1084.8 388.3 Q 1085.1 388.8, 1085.1 388.9 L 1085.1 384.4 L 1085.9 384.4 L 1085.9 390.1 L 1085.1 390.1 L 1083.1 386.8 Q 1082.9 386.5, 1082.6 386.0 Q 1082.4 385.6, 1082.3 385.4 L 1082.3 390.1 L 1081.6 390.1 L 1081.6 384.4 L 1082.5 384.4 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1067.5 499.4 L 1070.0 499.4 L 1070.0 491.0 L 1067.3 491.8 L 1066.9 490.9 L 1070.4 489.3 L 1071.5 489.5 L 1071.5 499.4 L 1073.7 499.4 L 1073.7 500.7 L 1067.5 500.7 L 1067.5 499.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 488.3 L 1080.5 488.3 L 1080.5 503.8 L 1079.1 503.8 L 1079.1 488.3 \" fill=\"#000000\"/>\n",
@@ -2724,30 +2746,48 @@
        "<path d=\"M 1128.0 489.4 Q 1129.9 489.4, 1130.9 490.3 Q 1131.9 491.1, 1131.9 492.7 Q 1131.9 494.3, 1130.9 495.2 Q 1129.9 496.1, 1128.0 496.1 L 1126.2 496.1 L 1126.2 500.7 L 1124.6 500.7 L 1124.6 489.4 L 1128.0 489.4 M 1128.0 494.8 Q 1129.1 494.8, 1129.7 494.3 Q 1130.3 493.7, 1130.3 492.7 Q 1130.3 491.7, 1129.7 491.2 Q 1129.1 490.7, 1128.0 490.7 L 1126.2 490.7 L 1126.2 494.8 L 1128.0 494.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.4 488.6 L 1133.5 488.6 L 1133.5 492.0 L 1132.4 492.0 L 1132.4 488.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.2 488.3 L 1137.2 503.8 L 1133.8 503.8 L 1133.8 502.7 L 1135.9 502.7 L 1135.9 489.5 L 1133.8 489.5 L 1133.8 488.3 L 1137.2 488.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 56.8,583.7 L 56.8,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 60.8,580.6 L 60.8,566.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-0\" d=\"M 74.2,593.7 L 56.8,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 56.8,563.6 L 74.2,553.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 74.2,553.6 L 91.5,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 74.8,558.6 L 86.9,565.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 91.5,563.6 L 98.9,559.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 98.9,559.4 L 106.2,555.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-8 atom-3\" d=\"M 91.5,583.7 L 91.5,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 111.5,555.1 L 118.9,559.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 118.9,559.4 L 126.3,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 111.7,559.9 L 116.9,562.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 116.9,562.8 L 122.0,565.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 126.3,563.6 L 126.3,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 126.3,583.7 L 118.9,587.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 118.9,587.9 L 111.5,592.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 122.0,581.5 L 116.9,584.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 116.9,584.4 L 111.7,587.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 106.2,592.1 L 98.9,587.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 98.9,587.9 L 91.5,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 91.5,583.7 L 74.2,593.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 86.9,581.7 L 74.8,588.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-4\" d=\"M 107.6 550.7 L 109.5 553.7 Q 109.7 554.0, 110.0 554.6 Q 110.3 555.1, 110.3 555.2 L 110.3 550.7 L 111.0 550.7 L 111.0 556.4 L 110.3 556.4 L 108.3 553.1 Q 108.0 552.7, 107.8 552.3 Q 107.6 551.9, 107.5 551.7 L 107.5 556.4 L 106.7 556.4 L 106.7 550.7 L 107.6 550.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 107.6 590.8 L 109.5 593.8 Q 109.7 594.1, 110.0 594.7 Q 110.3 595.2, 110.3 595.2 L 110.3 590.8 L 111.0 590.8 L 111.0 596.5 L 110.3 596.5 L 108.3 593.2 Q 108.0 592.8, 107.8 592.4 Q 107.6 592.0, 107.5 591.8 L 107.5 596.5 L 106.7 596.5 L 106.7 590.8 L 107.6 590.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 30.1,577.2 L 38.6,575.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 38.6,575.6 L 47.2,574.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 47.2,574.0 L 49.9,566.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 49.9,566.3 L 52.7,558.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 51.8,573.1 L 53.7,567.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 53.7,567.6 L 55.7,562.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-6 atom-1\" d=\"M 57.5,586.2 L 52.3,580.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-6 atom-1\" d=\"M 52.3,580.1 L 47.2,574.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 56.6,554.7 L 65.1,553.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 65.1,553.1 L 73.6,551.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 73.6,551.5 L 86.6,566.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 72.5,556.4 L 81.6,567.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 86.6,566.8 L 79.9,585.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-13 atom-4\" d=\"M 106.7,567.4 L 86.6,566.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 79.9,585.7 L 71.4,587.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 71.4,587.3 L 62.8,588.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 76.6,582.2 L 70.6,583.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 70.6,583.3 L 64.7,584.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 79.9,585.7 L 86.5,590.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 86.5,590.8 L 93.1,595.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 98.4,596.1 L 105.4,591.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 105.4,591.4 L 112.3,586.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 112.3,586.6 L 131.8,591.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 116.2,583.4 L 129.8,586.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-13 atom-8\" d=\"M 106.7,567.4 L 112.3,586.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 131.8,591.3 L 137.4,585.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 137.4,585.5 L 143.0,579.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 144.6,573.5 L 142.3,565.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 142.3,565.5 L 140.0,557.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 140.1,572.2 L 138.5,566.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 138.5,566.7 L 136.8,561.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 140.0,557.6 L 120.5,552.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 120.5,552.9 L 106.7,567.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 121.3,557.8 L 111.6,568.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 17.4 574.8 L 18.2 574.8 L 18.2 577.2 L 21.1 577.2 L 21.1 574.8 L 21.9 574.8 L 21.9 580.5 L 21.1 580.5 L 21.1 577.9 L 18.2 577.9 L 18.2 580.5 L 17.4 580.5 L 17.4 574.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 22.1 580.3 Q 22.3 579.9, 22.6 579.7 Q 22.9 579.5, 23.4 579.5 Q 23.9 579.5, 24.3 579.9 Q 24.6 580.2, 24.6 580.7 Q 24.6 581.3, 24.2 581.8 Q 23.8 582.3, 22.9 582.9 L 24.6 582.9 L 24.6 583.3 L 22.1 583.3 L 22.1 583.0 Q 22.8 582.5, 23.2 582.1 Q 23.6 581.7, 23.8 581.4 Q 24.0 581.1, 24.0 580.7 Q 24.0 580.4, 23.9 580.2 Q 23.7 580.0, 23.4 580.0 Q 23.1 580.0, 22.9 580.1 Q 22.7 580.2, 22.5 580.5 L 22.1 580.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 26.2 574.8 L 28.1 577.8 Q 28.2 578.1, 28.5 578.7 Q 28.8 579.2, 28.9 579.2 L 28.9 574.8 L 29.6 574.8 L 29.6 580.5 L 28.8 580.5 L 26.8 577.2 Q 26.6 576.8, 26.4 576.4 Q 26.1 575.9, 26.0 575.8 L 26.0 580.5 L 25.3 580.5 L 25.3 574.8 L 26.2 574.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 52.7 552.3 L 54.5 555.3 Q 54.7 555.6, 55.0 556.2 Q 55.3 556.7, 55.3 556.7 L 55.3 552.3 L 56.1 552.3 L 56.1 558.0 L 55.3 558.0 L 53.3 554.7 Q 53.1 554.3, 52.8 553.9 Q 52.6 553.4, 52.5 553.3 L 52.5 558.0 L 51.8 558.0 L 51.8 552.3 L 52.7 552.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 58.9 586.5 L 60.8 589.5 Q 61.0 589.8, 61.3 590.3 Q 61.6 590.9, 61.6 590.9 L 61.6 586.5 L 62.3 586.5 L 62.3 592.2 L 61.5 592.2 L 59.5 588.9 Q 59.3 588.5, 59.1 588.0 Q 58.8 587.6, 58.8 587.5 L 58.8 592.2 L 58.0 592.2 L 58.0 586.5 L 58.9 586.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 94.5 595.1 L 96.4 598.1 Q 96.6 598.4, 96.9 598.9 Q 97.2 599.5, 97.2 599.5 L 97.2 595.1 L 97.9 595.1 L 97.9 600.8 L 97.1 600.8 L 95.1 597.5 Q 94.9 597.1, 94.7 596.7 Q 94.4 596.2, 94.4 596.1 L 94.4 600.8 L 93.6 600.8 L 93.6 595.1 L 94.5 595.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 93.5 601.3 L 94.3 601.3 L 94.3 603.8 L 97.2 603.8 L 97.2 601.3 L 98.0 601.3 L 98.0 607.0 L 97.2 607.0 L 97.2 604.4 L 94.3 604.4 L 94.3 607.0 L 93.5 607.0 L 93.5 601.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 144.4 574.0 L 146.2 577.0 Q 146.4 577.3, 146.7 577.8 Q 147.0 578.4, 147.0 578.4 L 147.0 574.0 L 147.8 574.0 L 147.8 579.7 L 147.0 579.7 L 145.0 576.4 Q 144.8 576.0, 144.5 575.5 Q 144.3 575.1, 144.2 575.0 L 144.2 579.7 L 143.5 579.7 L 143.5 574.0 L 144.4 574.0 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 669.4 L 50.0 669.4 L 50.0 661.0 L 47.3 661.8 L 46.9 660.9 L 50.4 659.3 L 51.5 659.5 L 51.5 669.4 L 53.7 669.4 L 53.7 670.7 L 47.5 670.7 L 47.5 669.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 658.3 L 60.5 658.3 L 60.5 673.8 L 59.1 673.8 L 59.1 658.3 \" fill=\"#000000\"/>\n",
@@ -2763,30 +2803,32 @@
        "<path d=\"M 108.0 659.4 Q 109.9 659.4, 110.9 660.3 Q 111.9 661.1, 111.9 662.7 Q 111.9 664.3, 110.9 665.2 Q 109.9 666.1, 108.0 666.1 L 106.2 666.1 L 106.2 670.7 L 104.6 670.7 L 104.6 659.4 L 108.0 659.4 M 108.0 664.8 Q 109.1 664.8, 109.7 664.3 Q 110.3 663.7, 110.3 662.7 Q 110.3 661.7, 109.7 661.2 Q 109.1 660.7, 108.0 660.7 L 106.2 660.7 L 106.2 664.8 L 108.0 664.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 112.4 658.6 L 113.5 658.6 L 113.5 662.0 L 112.4 662.0 L 112.4 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 658.3 L 117.2 673.8 L 113.8 673.8 L 113.8 672.7 L 115.9 672.7 L 115.9 659.5 L 113.8 659.5 L 113.8 658.3 L 117.2 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 226.8,583.7 L 226.8,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 230.8,580.6 L 230.8,566.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-0\" d=\"M 244.2,593.7 L 226.8,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 226.8,563.6 L 234.2,559.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 234.2,559.4 L 241.5,555.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 246.8,555.1 L 254.2,559.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 254.2,559.4 L 261.5,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 247.0,559.9 L 252.2,562.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 252.2,562.8 L 257.3,565.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 261.5,563.6 L 278.9,553.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-8 atom-3\" d=\"M 261.5,583.7 L 261.5,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 278.9,553.6 L 296.3,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 279.5,558.6 L 291.6,565.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 296.3,563.6 L 296.3,572.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 296.3,572.0 L 296.3,580.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 293.6,585.2 L 286.2,589.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 286.2,589.4 L 278.9,593.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 289.4,583.0 L 284.2,586.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 284.2,586.0 L 279.1,588.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 278.9,593.7 L 261.5,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 261.5,583.7 L 244.2,593.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 256.9,581.7 L 244.8,588.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-2\" d=\"M 242.9 550.7 L 244.8 553.7 Q 245.0 554.0, 245.3 554.6 Q 245.6 555.1, 245.6 555.2 L 245.6 550.7 L 246.3 550.7 L 246.3 556.4 L 245.5 556.4 L 243.5 553.1 Q 243.3 552.7, 243.1 552.3 Q 242.8 551.9, 242.8 551.7 L 242.8 556.4 L 242.0 556.4 L 242.0 550.7 L 242.9 550.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 295.0 580.8 L 296.9 583.8 Q 297.0 584.1, 297.3 584.7 Q 297.6 585.2, 297.7 585.2 L 297.7 580.8 L 298.4 580.8 L 298.4 586.5 L 297.6 586.5 L 295.6 583.2 Q 295.4 582.8, 295.2 582.4 Q 294.9 581.9, 294.8 581.8 L 294.8 586.5 L 294.1 586.5 L 294.1 580.8 L 295.0 580.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 230.7,583.7 L 230.7,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 234.7,580.6 L 234.7,566.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 245.4,592.1 L 238.1,587.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 238.1,587.9 L 230.7,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 230.7,563.6 L 238.1,559.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 238.1,559.4 L 245.4,555.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 250.7,555.1 L 258.1,559.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 258.1,559.4 L 265.4,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 250.9,559.9 L 256.1,562.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 256.1,562.8 L 261.2,565.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 265.4,563.6 L 273.6,560.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 273.6,560.9 L 281.9,558.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-7 atom-3\" d=\"M 265.4,583.7 L 265.4,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 286.9,560.7 L 291.6,567.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 291.6,567.2 L 296.3,573.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 296.3,573.6 L 284.5,589.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 291.3,573.7 L 283.0,585.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 284.5,589.8 L 265.4,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 265.4,583.7 L 258.1,587.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 258.1,587.9 L 250.7,592.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 261.2,581.5 L 256.1,584.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 256.1,584.4 L 250.9,587.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-2\" d=\"M 246.8 550.7 L 248.7 553.7 Q 248.9 554.0, 249.2 554.6 Q 249.5 555.1, 249.5 555.2 L 249.5 550.7 L 250.2 550.7 L 250.2 556.4 L 249.5 556.4 L 247.5 553.1 Q 247.2 552.7, 247.0 552.3 Q 246.7 551.9, 246.7 551.7 L 246.7 556.4 L 245.9 556.4 L 245.9 550.7 L 246.8 550.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 283.3 554.6 L 285.1 557.6 Q 285.3 557.9, 285.6 558.4 Q 285.9 558.9, 285.9 559.0 L 285.9 554.6 L 286.7 554.6 L 286.7 560.2 L 285.9 560.2 L 283.9 557.0 Q 283.7 556.6, 283.4 556.1 Q 283.2 555.7, 283.1 555.6 L 283.1 560.2 L 282.4 560.2 L 282.4 554.6 L 283.3 554.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 282.3 548.3 L 283.1 548.3 L 283.1 550.7 L 286.0 550.7 L 286.0 548.3 L 286.7 548.3 L 286.7 554.0 L 286.0 554.0 L 286.0 551.4 L 283.1 551.4 L 283.1 554.0 L 282.3 554.0 L 282.3 548.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 246.8 590.8 L 248.7 593.8 Q 248.9 594.1, 249.2 594.7 Q 249.5 595.2, 249.5 595.2 L 249.5 590.8 L 250.2 590.8 L 250.2 596.5 L 249.5 596.5 L 247.5 593.2 Q 247.2 592.8, 247.0 592.4 Q 246.7 592.0, 246.7 591.8 L 246.7 596.5 L 245.9 596.5 L 245.9 590.8 L 246.8 590.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 217.5 669.4 L 220.0 669.4 L 220.0 661.0 L 217.3 661.8 L 216.9 660.9 L 220.4 659.3 L 221.5 659.5 L 221.5 669.4 L 223.7 669.4 L 223.7 670.7 L 217.5 670.7 L 217.5 669.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 229.1 658.3 L 230.5 658.3 L 230.5 673.8 L 229.1 673.8 L 229.1 658.3 \" fill=\"#000000\"/>\n",
@@ -2802,48 +2844,39 @@
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        "<path d=\"M 282.4 658.6 L 283.5 658.6 L 283.5 662.0 L 282.4 662.0 L 282.4 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 287.2 658.3 L 287.2 673.8 L 283.8 673.8 L 283.8 672.7 L 285.9 672.7 L 285.9 659.5 L 283.8 659.5 L 283.8 658.3 L 287.2 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 403.8,604.9 L 403.1,596.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 403.1,596.5 L 402.4,588.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 402.4,588.2 L 394.6,584.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 394.6,584.6 L 386.9,581.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 401.7,583.5 L 396.3,581.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 396.3,581.0 L 390.9,578.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 416.2,578.6 L 409.3,583.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 409.3,583.4 L 402.4,588.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 383.9,576.4 L 383.2,568.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 383.2,568.1 L 382.5,559.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 382.5,559.7 L 399.0,548.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 387.3,561.3 L 398.8,553.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 399.0,548.3 L 417.1,556.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 417.1,556.8 L 435.6,549.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 421.4,559.3 L 434.4,553.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-14 atom-5\" d=\"M 418.5,573.4 L 417.8,565.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-14 atom-5\" d=\"M 417.8,565.1 L 417.1,556.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 435.6,549.0 L 448.7,564.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 448.7,564.2 L 468.7,564.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 451.6,568.2 L 465.7,568.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-13 atom-7\" d=\"M 438.3,581.3 L 448.7,564.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 468.7,564.6 L 472.9,557.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 472.9,557.7 L 477.0,550.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-8 atom-10\" d=\"M 468.7,564.6 L 478.4,582.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 478.4,582.1 L 468.1,599.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 473.4,582.6 L 466.2,594.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 468.1,599.3 L 459.4,599.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 459.4,599.1 L 450.7,598.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 446.2,595.5 L 442.3,588.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 442.3,588.4 L 438.3,581.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 448.5,591.5 L 445.8,586.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 445.8,586.5 L 443.0,581.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 438.3,581.3 L 429.9,579.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 429.9,579.4 L 421.5,577.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 402.8 605.4 L 404.7 608.4 Q 404.9 608.7, 405.2 609.2 Q 405.5 609.7, 405.5 609.8 L 405.5 605.4 L 406.2 605.4 L 406.2 611.0 L 405.4 611.0 L 403.4 607.8 Q 403.2 607.4, 403.0 606.9 Q 402.7 606.5, 402.7 606.4 L 402.7 611.0 L 401.9 611.0 L 401.9 605.4 L 402.8 605.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 406.9 605.4 L 407.7 605.4 L 407.7 607.8 L 410.6 607.8 L 410.6 605.4 L 411.3 605.4 L 411.3 611.0 L 410.6 611.0 L 410.6 608.4 L 407.7 608.4 L 407.7 611.0 L 406.9 611.0 L 406.9 605.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 411.6 610.8 Q 411.8 610.5, 412.1 610.3 Q 412.4 610.1, 412.9 610.1 Q 413.4 610.1, 413.8 610.4 Q 414.1 610.7, 414.1 611.3 Q 414.1 611.8, 413.7 612.3 Q 413.3 612.8, 412.4 613.5 L 414.1 613.5 L 414.1 613.9 L 411.6 613.9 L 411.6 613.5 Q 412.3 613.0, 412.7 612.7 Q 413.1 612.3, 413.3 612.0 Q 413.5 611.6, 413.5 611.3 Q 413.5 610.9, 413.4 610.7 Q 413.2 610.5, 412.9 610.5 Q 412.6 610.5, 412.4 610.6 Q 412.2 610.8, 412.0 611.0 L 411.6 610.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 383.0 576.9 L 384.8 579.9 Q 385.0 580.2, 385.3 580.7 Q 385.6 581.3, 385.6 581.3 L 385.6 576.9 L 386.4 576.9 L 386.4 582.6 L 385.6 582.6 L 383.6 579.3 Q 383.4 578.9, 383.1 578.4 Q 382.9 578.0, 382.8 577.9 L 382.8 582.6 L 382.1 582.6 L 382.1 576.9 L 383.0 576.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 476.5 547.4 Q 476.5 546.0, 477.2 545.3 Q 477.8 544.5, 479.1 544.5 Q 480.4 544.5, 481.0 545.3 Q 481.7 546.0, 481.7 547.4 Q 481.7 548.8, 481.0 549.6 Q 480.3 550.3, 479.1 550.3 Q 477.9 550.3, 477.2 549.6 Q 476.5 548.8, 476.5 547.4 M 479.1 549.7 Q 480.0 549.7, 480.4 549.1 Q 480.9 548.5, 480.9 547.4 Q 480.9 546.3, 480.4 545.7 Q 480.0 545.2, 479.1 545.2 Q 478.2 545.2, 477.8 545.7 Q 477.3 546.3, 477.3 547.4 Q 477.3 548.6, 477.8 549.1 Q 478.2 549.7, 479.1 549.7 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-9\" d=\"M 482.4 544.6 L 483.2 544.6 L 483.2 547.0 L 486.1 547.0 L 486.1 544.6 L 486.8 544.6 L 486.8 550.3 L 486.1 550.3 L 486.1 547.6 L 483.2 547.6 L 483.2 550.3 L 482.4 550.3 L 482.4 544.6 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-12\" d=\"M 446.8 596.0 L 448.6 599.0 Q 448.8 599.3, 449.1 599.9 Q 449.4 600.4, 449.4 600.4 L 449.4 596.0 L 450.2 596.0 L 450.2 601.7 L 449.4 601.7 L 447.4 598.4 Q 447.2 598.0, 446.9 597.6 Q 446.7 597.2, 446.6 597.0 L 446.6 601.7 L 445.9 601.7 L 445.9 596.0 L 446.8 596.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-14\" d=\"M 417.6 573.9 L 419.4 576.9 Q 419.6 577.2, 419.9 577.8 Q 420.2 578.3, 420.2 578.3 L 420.2 573.9 L 421.0 573.9 L 421.0 579.6 L 420.2 579.6 L 418.2 576.3 Q 418.0 575.9, 417.7 575.5 Q 417.5 575.1, 417.4 574.9 L 417.4 579.6 L 416.7 579.6 L 416.7 573.9 L 417.6 573.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 481.0,588.8 L 473.6,584.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 473.6,584.6 L 466.3,580.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 466.3,580.3 L 448.9,590.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 461.6,578.3 L 449.5,585.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 466.3,563.6 L 466.3,572.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 466.3,572.0 L 466.3,580.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 448.9,590.3 L 431.5,580.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 431.5,580.3 L 424.2,584.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 424.2,584.6 L 416.8,588.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 427.3,578.1 L 422.2,581.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 422.2,581.1 L 417.0,584.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-9 atom-3\" d=\"M 431.5,560.3 L 431.5,580.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 411.5,588.8 L 404.2,584.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 404.2,584.6 L 396.8,580.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 396.8,580.3 L 389.7,584.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 389.7,584.4 L 382.6,588.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 396.8,580.3 L 396.8,560.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 396.8,560.3 L 414.2,550.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 414.2,550.2 L 431.5,560.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 414.8,555.2 L 426.9,562.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 431.5,560.3 L 448.9,550.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 448.9,550.2 L 456.2,554.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 456.2,554.5 L 463.6,558.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 449.1,555.0 L 454.2,558.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 454.2,558.0 L 459.4,560.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 482.4 587.5 L 484.2 590.5 Q 484.4 590.8, 484.7 591.3 Q 485.0 591.9, 485.0 591.9 L 485.0 587.5 L 485.8 587.5 L 485.8 593.2 L 485.0 593.2 L 483.0 589.9 Q 482.8 589.5, 482.5 589.1 Q 482.3 588.6, 482.2 588.5 L 482.2 593.2 L 481.5 593.2 L 481.5 587.5 L 482.4 587.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 486.5 587.5 L 487.2 587.5 L 487.2 589.9 L 490.1 589.9 L 490.1 587.5 L 490.9 587.5 L 490.9 593.2 L 490.1 593.2 L 490.1 590.6 L 487.2 590.6 L 487.2 593.2 L 486.5 593.2 L 486.5 587.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 491.2 593.0 Q 491.3 592.6, 491.6 592.4 Q 492.0 592.2, 492.4 592.2 Q 493.0 592.2, 493.3 592.5 Q 493.6 592.8, 493.6 593.4 Q 493.6 593.9, 493.2 594.5 Q 492.8 595.0, 492.0 595.6 L 493.7 595.6 L 493.7 596.0 L 491.2 596.0 L 491.2 595.7 Q 491.9 595.2, 492.3 594.8 Q 492.7 594.4, 492.9 594.1 Q 493.1 593.8, 493.1 593.4 Q 493.1 593.0, 492.9 592.8 Q 492.7 592.6, 492.4 592.6 Q 492.1 592.6, 491.9 592.8 Q 491.7 592.9, 491.6 593.2 L 491.2 593.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 412.9 587.5 L 414.8 590.5 Q 415.0 590.8, 415.3 591.3 Q 415.6 591.9, 415.6 591.9 L 415.6 587.5 L 416.3 587.5 L 416.3 593.2 L 415.5 593.2 L 413.5 589.9 Q 413.3 589.5, 413.1 589.1 Q 412.8 588.6, 412.8 588.5 L 412.8 593.2 L 412.0 593.2 L 412.0 587.5 L 412.9 587.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 372.0 587.5 L 372.8 587.5 L 372.8 589.9 L 375.7 589.9 L 375.7 587.5 L 376.4 587.5 L 376.4 593.2 L 375.7 593.2 L 375.7 590.6 L 372.8 590.6 L 372.8 593.2 L 372.0 593.2 L 372.0 587.5 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-6\" d=\"M 376.8 590.4 Q 376.8 589.0, 377.5 588.2 Q 378.2 587.5, 379.4 587.5 Q 380.7 587.5, 381.4 588.2 Q 382.1 589.0, 382.1 590.4 Q 382.1 591.7, 381.4 592.5 Q 380.7 593.3, 379.4 593.3 Q 378.2 593.3, 377.5 592.5 Q 376.8 591.7, 376.8 590.4 M 379.4 592.7 Q 380.3 592.7, 380.8 592.1 Q 381.3 591.5, 381.3 590.4 Q 381.3 589.2, 380.8 588.7 Q 380.3 588.1, 379.4 588.1 Q 378.6 588.1, 378.1 588.7 Q 377.6 589.2, 377.6 590.4 Q 377.6 591.5, 378.1 592.1 Q 378.6 592.7, 379.4 592.7 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-11\" d=\"M 465.0 557.4 L 466.9 560.4 Q 467.0 560.7, 467.3 561.3 Q 467.6 561.8, 467.7 561.8 L 467.7 557.4 L 468.4 557.4 L 468.4 563.1 L 467.6 563.1 L 465.6 559.8 Q 465.4 559.4, 465.2 559.0 Q 464.9 558.5, 464.8 558.4 L 464.8 563.1 L 464.1 563.1 L 464.1 557.4 L 465.0 557.4 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 387.5 669.4 L 390.0 669.4 L 390.0 661.0 L 387.3 661.8 L 386.9 660.9 L 390.4 659.3 L 391.5 659.5 L 391.5 669.4 L 393.7 669.4 L 393.7 670.7 L 387.5 670.7 L 387.5 669.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 399.1 658.3 L 400.5 658.3 L 400.5 673.8 L 399.1 673.8 L 399.1 658.3 \" fill=\"#000000\"/>\n",
@@ -2859,48 +2892,42 @@
        "<path d=\"M 448.0 659.4 Q 449.9 659.4, 450.9 660.3 Q 451.9 661.1, 451.9 662.7 Q 451.9 664.3, 450.9 665.2 Q 449.9 666.1, 448.0 666.1 L 446.2 666.1 L 446.2 670.7 L 444.6 670.7 L 444.6 659.4 L 448.0 659.4 M 448.0 664.8 Q 449.1 664.8, 449.7 664.3 Q 450.3 663.7, 450.3 662.7 Q 450.3 661.7, 449.7 661.2 Q 449.1 660.7, 448.0 660.7 L 446.2 660.7 L 446.2 664.8 L 448.0 664.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 452.4 658.6 L 453.5 658.6 L 453.5 662.0 L 452.4 662.0 L 452.4 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 457.2 658.3 L 457.2 673.8 L 453.8 673.8 L 453.8 672.7 L 455.9 672.7 L 455.9 659.5 L 453.8 659.5 L 453.8 658.3 L 457.2 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 540.1,577.2 L 548.6,575.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 548.6,575.6 L 557.2,574.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 557.2,574.0 L 559.9,566.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 559.9,566.3 L 562.7,558.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 561.8,573.1 L 563.7,567.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 563.7,567.6 L 565.7,562.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-6 atom-1\" d=\"M 567.5,586.2 L 562.3,580.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-6 atom-1\" d=\"M 562.3,580.1 L 557.2,574.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 566.6,554.7 L 575.1,553.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 575.1,553.1 L 583.6,551.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 583.6,551.5 L 596.6,566.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 582.5,556.4 L 591.6,567.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 596.6,566.8 L 589.9,585.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-13 atom-4\" d=\"M 616.7,567.4 L 596.6,566.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 589.9,585.7 L 581.4,587.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 581.4,587.3 L 572.8,588.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 586.6,582.2 L 580.6,583.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 580.6,583.3 L 574.7,584.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 589.9,585.7 L 596.5,590.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 596.5,590.8 L 603.1,595.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 608.4,596.1 L 615.4,591.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 615.4,591.4 L 622.3,586.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 622.3,586.6 L 641.8,591.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 626.2,583.4 L 639.8,586.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-13 atom-8\" d=\"M 616.7,567.4 L 622.3,586.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 641.8,591.3 L 647.4,585.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 647.4,585.5 L 653.0,579.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 654.6,573.5 L 652.3,565.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 652.3,565.5 L 650.0,557.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 650.1,572.2 L 648.5,566.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 648.5,566.7 L 646.8,561.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 650.0,557.6 L 630.5,552.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 630.5,552.9 L 616.7,567.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 631.3,557.8 L 621.6,568.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 527.4 574.8 L 528.2 574.8 L 528.2 577.2 L 531.1 577.2 L 531.1 574.8 L 531.9 574.8 L 531.9 580.5 L 531.1 580.5 L 531.1 577.9 L 528.2 577.9 L 528.2 580.5 L 527.4 580.5 L 527.4 574.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 532.1 580.3 Q 532.3 579.9, 532.6 579.7 Q 532.9 579.5, 533.4 579.5 Q 533.9 579.5, 534.3 579.9 Q 534.6 580.2, 534.6 580.7 Q 534.6 581.3, 534.2 581.8 Q 533.8 582.3, 532.9 582.9 L 534.6 582.9 L 534.6 583.3 L 532.1 583.3 L 532.1 583.0 Q 532.8 582.5, 533.2 582.1 Q 533.6 581.7, 533.8 581.4 Q 534.0 581.1, 534.0 580.7 Q 534.0 580.4, 533.9 580.2 Q 533.7 580.0, 533.4 580.0 Q 533.1 580.0, 532.9 580.1 Q 532.7 580.2, 532.5 580.5 L 532.1 580.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 536.2 574.8 L 538.1 577.8 Q 538.2 578.1, 538.5 578.7 Q 538.8 579.2, 538.9 579.2 L 538.9 574.8 L 539.6 574.8 L 539.6 580.5 L 538.8 580.5 L 536.8 577.2 Q 536.6 576.8, 536.4 576.4 Q 536.1 575.9, 536.0 575.8 L 536.0 580.5 L 535.3 580.5 L 535.3 574.8 L 536.2 574.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 562.7 552.3 L 564.5 555.3 Q 564.7 555.6, 565.0 556.2 Q 565.3 556.7, 565.3 556.7 L 565.3 552.3 L 566.1 552.3 L 566.1 558.0 L 565.3 558.0 L 563.3 554.7 Q 563.1 554.3, 562.8 553.9 Q 562.6 553.4, 562.5 553.3 L 562.5 558.0 L 561.8 558.0 L 561.8 552.3 L 562.7 552.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 568.9 586.5 L 570.8 589.5 Q 571.0 589.8, 571.3 590.3 Q 571.6 590.9, 571.6 590.9 L 571.6 586.5 L 572.3 586.5 L 572.3 592.2 L 571.5 592.2 L 569.5 588.9 Q 569.3 588.5, 569.1 588.0 Q 568.8 587.6, 568.8 587.5 L 568.8 592.2 L 568.0 592.2 L 568.0 586.5 L 568.9 586.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 604.5 595.1 L 606.4 598.1 Q 606.6 598.4, 606.9 598.9 Q 607.2 599.5, 607.2 599.5 L 607.2 595.1 L 607.9 595.1 L 607.9 600.8 L 607.1 600.8 L 605.1 597.5 Q 604.9 597.1, 604.7 596.7 Q 604.4 596.2, 604.4 596.1 L 604.4 600.8 L 603.6 600.8 L 603.6 595.1 L 604.5 595.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 603.5 601.3 L 604.3 601.3 L 604.3 603.8 L 607.2 603.8 L 607.2 601.3 L 608.0 601.3 L 608.0 607.0 L 607.2 607.0 L 607.2 604.4 L 604.3 604.4 L 604.3 607.0 L 603.5 607.0 L 603.5 601.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 654.4 574.0 L 656.2 577.0 Q 656.4 577.3, 656.7 577.8 Q 657.0 578.4, 657.0 578.4 L 657.0 574.0 L 657.8 574.0 L 657.8 579.7 L 657.0 579.7 L 655.0 576.4 Q 654.8 576.0, 654.5 575.5 Q 654.3 575.1, 654.2 575.0 L 654.2 579.7 L 653.5 579.7 L 653.5 574.0 L 654.4 574.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 580.2,611.7 L 585.0,605.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 585.0,605.4 L 589.8,599.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 589.8,599.0 L 598.4,600.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 598.4,600.1 L 607.0,601.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 592.8,595.4 L 598.9,596.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 598.9,596.1 L 604.9,596.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 581.9,580.6 L 589.8,599.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 612.2,598.1 L 616.9,591.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 616.9,591.7 L 621.7,585.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 621.7,585.4 L 641.6,587.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 625.1,581.7 L 639.1,583.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-8 atom-3\" d=\"M 613.8,566.9 L 621.7,585.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 641.6,587.7 L 653.6,571.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 653.6,571.7 L 645.7,553.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 648.7,570.5 L 643.2,557.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 645.7,553.2 L 625.8,550.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 625.8,550.9 L 613.8,566.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 627.2,555.7 L 618.8,566.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 613.8,566.9 L 593.9,564.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 593.9,564.6 L 586.0,546.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 589.0,563.4 L 583.5,550.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-14 atom-9\" d=\"M 581.9,580.6 L 593.9,564.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 586.0,546.1 L 577.3,545.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 577.3,545.1 L 568.7,544.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 563.6,547.1 L 558.8,553.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 558.8,553.4 L 554.1,559.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 565.3,551.4 L 562.0,555.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 562.0,555.9 L 558.7,560.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 554.1,559.8 L 561.9,578.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 561.9,578.2 L 581.9,580.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 565.4,574.6 L 579.3,576.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 567.7 612.2 L 568.5 612.2 L 568.5 614.7 L 571.4 614.7 L 571.4 612.2 L 572.1 612.2 L 572.1 617.9 L 571.4 617.9 L 571.4 615.3 L 568.5 615.3 L 568.5 617.9 L 567.7 617.9 L 567.7 612.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 572.4 617.7 Q 572.5 617.4, 572.9 617.2 Q 573.2 617.0, 573.7 617.0 Q 574.2 617.0, 574.5 617.3 Q 574.9 617.6, 574.9 618.1 Q 574.9 618.7, 574.4 619.2 Q 574.0 619.7, 573.2 620.3 L 574.9 620.3 L 574.9 620.8 L 572.4 620.8 L 572.4 620.4 Q 573.1 619.9, 573.5 619.5 Q 573.9 619.2, 574.1 618.8 Q 574.3 618.5, 574.3 618.2 Q 574.3 617.8, 574.2 617.6 Q 574.0 617.4, 573.7 617.4 Q 573.4 617.4, 573.2 617.5 Q 573.0 617.6, 572.8 617.9 L 572.4 617.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 576.5 612.2 L 578.3 615.3 Q 578.5 615.6, 578.8 616.1 Q 579.1 616.6, 579.1 616.7 L 579.1 612.2 L 579.9 612.2 L 579.9 617.9 L 579.1 617.9 L 577.1 614.6 Q 576.9 614.3, 576.6 613.8 Q 576.4 613.4, 576.3 613.2 L 576.3 617.9 L 575.6 617.9 L 575.6 612.2 L 576.5 612.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 608.4 598.6 L 610.3 601.6 Q 610.4 601.9, 610.7 602.4 Q 611.0 602.9, 611.1 603.0 L 611.1 598.6 L 611.8 598.6 L 611.8 604.2 L 611.0 604.2 L 609.0 601.0 Q 608.8 600.6, 608.6 600.1 Q 608.3 599.7, 608.2 599.6 L 608.2 604.2 L 607.5 604.2 L 607.5 598.6 L 608.4 598.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 564.8 540.9 L 566.7 543.9 Q 566.9 544.2, 567.1 544.8 Q 567.4 545.3, 567.5 545.3 L 567.5 540.9 L 568.2 540.9 L 568.2 546.6 L 567.4 546.6 L 565.4 543.3 Q 565.2 542.9, 565.0 542.5 Q 564.7 542.0, 564.6 541.9 L 564.6 546.6 L 563.9 546.6 L 563.9 540.9 L 564.8 540.9 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 557.5 669.4 L 560.0 669.4 L 560.0 661.0 L 557.3 661.8 L 556.9 660.9 L 560.4 659.3 L 561.5 659.5 L 561.5 669.4 L 563.7 669.4 L 563.7 670.7 L 557.5 670.7 L 557.5 669.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 569.1 658.3 L 570.5 658.3 L 570.5 673.8 L 569.1 673.8 L 569.1 658.3 \" fill=\"#000000\"/>\n",
@@ -2916,39 +2943,46 @@
        "<path d=\"M 618.0 659.4 Q 619.9 659.4, 620.9 660.3 Q 621.9 661.1, 621.9 662.7 Q 621.9 664.3, 620.9 665.2 Q 619.9 666.1, 618.0 666.1 L 616.2 666.1 L 616.2 670.7 L 614.6 670.7 L 614.6 659.4 L 618.0 659.4 M 618.0 664.8 Q 619.1 664.8, 619.7 664.3 Q 620.3 663.7, 620.3 662.7 Q 620.3 661.7, 619.7 661.2 Q 619.1 660.7, 618.0 660.7 L 616.2 660.7 L 616.2 664.8 L 618.0 664.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 622.4 658.6 L 623.5 658.6 L 623.5 662.0 L 622.4 662.0 L 622.4 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 627.2 658.3 L 627.2 673.8 L 623.8 673.8 L 623.8 672.7 L 625.9 672.7 L 625.9 659.5 L 623.8 659.5 L 623.8 658.3 L 627.2 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 728.5,590.6 L 722.3,571.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 731.4,586.5 L 727.0,573.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-0\" d=\"M 748.1,594.7 L 728.5,590.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 722.3,571.5 L 727.7,565.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 727.7,565.5 L 733.0,559.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 738.4,557.2 L 746.8,559.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 746.8,559.0 L 755.3,560.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 740.1,561.6 L 746.0,562.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 746.0,562.9 L 751.9,564.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 755.3,560.8 L 762.1,555.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 762.1,555.9 L 768.9,550.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-11 atom-3\" d=\"M 761.5,579.8 L 755.3,560.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 774.2,550.9 L 781.0,555.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 781.0,555.9 L 787.8,560.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 787.8,560.8 L 807.4,556.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 791.5,564.1 L 805.3,561.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-10 atom-5\" d=\"M 781.6,579.8 L 787.8,560.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 807.4,556.6 L 812.7,562.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 812.7,562.6 L 818.1,568.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 819.7,574.9 L 817.1,582.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 817.1,582.7 L 814.6,590.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 815.1,576.0 L 813.3,581.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 813.3,581.5 L 811.5,587.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 814.6,590.6 L 795.0,594.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 795.0,594.7 L 781.6,579.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 795.9,589.8 L 786.5,579.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 781.6,579.8 L 761.5,579.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 761.5,579.8 L 748.1,594.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 756.5,579.4 L 747.1,589.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-2\" d=\"M 734.4 553.8 L 736.3 556.8 Q 736.5 557.1, 736.8 557.6 Q 737.1 558.2, 737.1 558.2 L 737.1 553.8 L 737.9 553.8 L 737.9 559.5 L 737.1 559.5 L 735.1 556.2 Q 734.8 555.8, 734.6 555.3 Q 734.4 554.9, 734.3 554.8 L 734.3 559.5 L 733.6 559.5 L 733.6 553.8 L 734.4 553.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 770.3 546.2 L 772.1 549.2 Q 772.3 549.5, 772.6 550.0 Q 772.9 550.5, 772.9 550.6 L 772.9 546.2 L 773.7 546.2 L 773.7 551.8 L 772.9 551.8 L 770.9 548.5 Q 770.7 548.2, 770.4 547.7 Q 770.2 547.3, 770.1 547.1 L 770.1 551.8 L 769.4 551.8 L 769.4 546.2 L 770.3 546.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 769.3 539.9 L 770.1 539.9 L 770.1 542.3 L 773.0 542.3 L 773.0 539.9 L 773.8 539.9 L 773.8 545.6 L 773.0 545.6 L 773.0 543.0 L 770.1 543.0 L 770.1 545.6 L 769.3 545.6 L 769.3 539.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 819.5 568.7 L 821.4 571.7 Q 821.6 572.0, 821.9 572.5 Q 822.2 573.1, 822.2 573.1 L 822.2 568.7 L 822.9 568.7 L 822.9 574.4 L 822.2 574.4 L 820.2 571.1 Q 819.9 570.7, 819.7 570.2 Q 819.4 569.8, 819.4 569.7 L 819.4 574.4 L 818.6 574.4 L 818.6 568.7 L 819.5 568.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 750.2,611.7 L 755.0,605.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 755.0,605.4 L 759.8,599.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 759.8,599.0 L 768.4,600.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 768.4,600.1 L 777.0,601.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 762.8,595.4 L 768.9,596.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 768.9,596.1 L 774.9,596.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 751.9,580.6 L 759.8,599.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 782.2,598.1 L 786.9,591.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 786.9,591.7 L 791.7,585.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 791.7,585.4 L 811.6,587.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 795.1,581.7 L 809.1,583.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-8 atom-3\" d=\"M 783.8,566.9 L 791.7,585.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 811.6,587.7 L 823.6,571.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 823.6,571.7 L 815.7,553.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 818.7,570.5 L 813.2,557.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 815.7,553.2 L 795.8,550.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 795.8,550.9 L 783.8,566.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 797.2,555.7 L 788.8,566.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 783.8,566.9 L 763.9,564.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 763.9,564.6 L 756.0,546.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 759.0,563.4 L 753.5,550.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-14 atom-9\" d=\"M 751.9,580.6 L 763.9,564.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 756.0,546.1 L 747.3,545.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 747.3,545.1 L 738.7,544.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 733.6,547.1 L 728.8,553.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 728.8,553.4 L 724.1,559.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 735.3,551.4 L 732.0,555.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 732.0,555.9 L 728.7,560.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 724.1,559.8 L 727.3,567.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 727.3,567.3 L 730.5,574.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 734.6,578.5 L 743.2,579.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 743.2,579.6 L 751.9,580.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 737.7,574.9 L 743.7,575.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 743.7,575.6 L 749.7,576.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 737.7 612.2 L 738.5 612.2 L 738.5 614.7 L 741.4 614.7 L 741.4 612.2 L 742.1 612.2 L 742.1 617.9 L 741.4 617.9 L 741.4 615.3 L 738.5 615.3 L 738.5 617.9 L 737.7 617.9 L 737.7 612.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 742.4 617.7 Q 742.5 617.4, 742.9 617.2 Q 743.2 617.0, 743.7 617.0 Q 744.2 617.0, 744.5 617.3 Q 744.9 617.6, 744.9 618.1 Q 744.9 618.7, 744.4 619.2 Q 744.0 619.7, 743.2 620.3 L 744.9 620.3 L 744.9 620.8 L 742.4 620.8 L 742.4 620.4 Q 743.1 619.9, 743.5 619.5 Q 743.9 619.2, 744.1 618.8 Q 744.3 618.5, 744.3 618.2 Q 744.3 617.8, 744.2 617.6 Q 744.0 617.4, 743.7 617.4 Q 743.4 617.4, 743.2 617.5 Q 743.0 617.6, 742.8 617.9 L 742.4 617.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 746.5 612.2 L 748.3 615.3 Q 748.5 615.6, 748.8 616.1 Q 749.1 616.6, 749.1 616.7 L 749.1 612.2 L 749.9 612.2 L 749.9 617.9 L 749.1 617.9 L 747.1 614.6 Q 746.9 614.3, 746.6 613.8 Q 746.4 613.4, 746.3 613.2 L 746.3 617.9 L 745.6 617.9 L 745.6 612.2 L 746.5 612.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 778.4 598.6 L 780.3 601.6 Q 780.4 601.9, 780.7 602.4 Q 781.0 602.9, 781.1 603.0 L 781.1 598.6 L 781.8 598.6 L 781.8 604.2 L 781.0 604.2 L 779.0 601.0 Q 778.8 600.6, 778.6 600.1 Q 778.3 599.7, 778.2 599.6 L 778.2 604.2 L 777.5 604.2 L 777.5 598.6 L 778.4 598.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 734.8 540.9 L 736.7 543.9 Q 736.9 544.2, 737.1 544.8 Q 737.4 545.3, 737.5 545.3 L 737.5 540.9 L 738.2 540.9 L 738.2 546.6 L 737.4 546.6 L 735.4 543.3 Q 735.2 542.9, 735.0 542.5 Q 734.7 542.0, 734.6 541.9 L 734.6 546.6 L 733.9 546.6 L 733.9 540.9 L 734.8 540.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-13\" d=\"M 730.7 575.4 L 732.6 578.4 Q 732.7 578.7, 733.0 579.2 Q 733.3 579.8, 733.3 579.8 L 733.3 575.4 L 734.1 575.4 L 734.1 581.1 L 733.3 581.1 L 731.3 577.8 Q 731.1 577.4, 730.8 577.0 Q 730.6 576.5, 730.5 576.4 L 730.5 581.1 L 729.8 581.1 L 729.8 575.4 L 730.7 575.4 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 727.5 669.4 L 730.0 669.4 L 730.0 661.0 L 727.3 661.8 L 726.9 660.9 L 730.4 659.3 L 731.5 659.5 L 731.5 669.4 L 733.7 669.4 L 733.7 670.7 L 727.5 670.7 L 727.5 669.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 739.1 658.3 L 740.5 658.3 L 740.5 673.8 L 739.1 673.8 L 739.1 658.3 \" fill=\"#000000\"/>\n",
@@ -2964,47 +2998,55 @@
        "<path d=\"M 788.0 659.4 Q 789.9 659.4, 790.9 660.3 Q 791.9 661.1, 791.9 662.7 Q 791.9 664.3, 790.9 665.2 Q 789.9 666.1, 788.0 666.1 L 786.2 666.1 L 786.2 670.7 L 784.6 670.7 L 784.6 659.4 L 788.0 659.4 M 788.0 664.8 Q 789.1 664.8, 789.7 664.3 Q 790.3 663.7, 790.3 662.7 Q 790.3 661.7, 789.7 661.2 Q 789.1 660.7, 788.0 660.7 L 786.2 660.7 L 786.2 664.8 L 788.0 664.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 792.4 658.6 L 793.5 658.6 L 793.5 662.0 L 792.4 662.0 L 792.4 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 797.2 658.3 L 797.2 673.8 L 793.8 673.8 L 793.8 672.7 L 795.9 672.7 L 795.9 659.5 L 793.8 659.5 L 793.8 658.3 L 797.2 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 873.7,552.3 L 880.8,556.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 880.8,556.8 L 888.0,561.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 871.5,555.7 L 877.6,559.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 877.6,559.5 L 883.7,563.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 875.8,548.9 L 881.9,552.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 881.9,552.7 L 888.0,556.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 888.0,561.3 L 905.0,571.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 905.0,571.9 L 922.7,562.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 909.6,574.0 L 921.9,567.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-7 atom-2\" d=\"M 904.4,588.6 L 904.7,580.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-7 atom-2\" d=\"M 904.7,580.3 L 905.0,571.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 922.7,562.5 L 939.7,573.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 939.7,573.1 L 939.0,593.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 935.6,576.0 L 935.1,590.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-14 atom-4\" d=\"M 959.0,567.6 L 939.7,573.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 939.0,593.2 L 921.3,602.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-5 atom-8\" d=\"M 939.0,593.2 L 947.1,596.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-5 atom-8\" d=\"M 947.1,596.1 L 955.2,599.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 921.3,602.6 L 914.1,598.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 914.1,598.1 L 907.0,593.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 921.3,597.8 L 916.3,594.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 916.3,594.7 L 911.2,591.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 960.5,596.7 L 965.3,590.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 965.3,590.5 L 970.2,584.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 970.2,584.2 L 978.9,583.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 978.9,583.6 L 987.5,583.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 972.5,580.0 L 978.6,579.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 978.6,579.6 L 984.7,579.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-14 atom-9\" d=\"M 959.0,567.6 L 970.2,584.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 991.8,579.5 L 995.4,572.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 995.4,572.1 L 999.0,564.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 999.0,564.8 L 987.8,548.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 994.0,564.6 L 986.1,552.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 987.8,548.2 L 967.8,549.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 967.8,549.6 L 959.0,567.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 970.1,554.0 L 963.9,566.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 869.8 547.8 L 871.6 550.8 Q 871.8 551.1, 872.1 551.7 Q 872.4 552.2, 872.4 552.2 L 872.4 547.8 L 873.2 547.8 L 873.2 553.5 L 872.4 553.5 L 870.4 550.2 Q 870.2 549.8, 869.9 549.4 Q 869.7 548.9, 869.6 548.8 L 869.6 553.5 L 868.9 553.5 L 868.9 547.8 L 869.8 547.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 903.1 589.1 L 904.9 592.1 Q 905.1 592.4, 905.4 592.9 Q 905.7 593.5, 905.7 593.5 L 905.7 589.1 L 906.5 589.1 L 906.5 594.8 L 905.7 594.8 L 903.7 591.5 Q 903.5 591.1, 903.2 590.7 Q 903.0 590.2, 902.9 590.1 L 902.9 594.8 L 902.2 594.8 L 902.2 589.1 L 903.1 589.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 956.6 597.2 L 958.5 600.2 Q 958.6 600.5, 958.9 601.0 Q 959.2 601.6, 959.3 601.6 L 959.3 597.2 L 960.0 597.2 L 960.0 602.9 L 959.2 602.9 L 957.2 599.6 Q 957.0 599.2, 956.8 598.7 Q 956.5 598.3, 956.4 598.2 L 956.4 602.9 L 955.7 602.9 L 955.7 597.2 L 956.6 597.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 955.6 603.4 L 956.4 603.4 L 956.4 605.8 L 959.3 605.8 L 959.3 603.4 L 960.1 603.4 L 960.1 609.1 L 959.3 609.1 L 959.3 606.5 L 956.4 606.5 L 956.4 609.1 L 955.6 609.1 L 955.6 603.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 988.9 580.0 L 990.8 583.0 Q 991.0 583.3, 991.3 583.8 Q 991.6 584.4, 991.6 584.4 L 991.6 580.0 L 992.4 580.0 L 992.4 585.7 L 991.6 585.7 L 989.6 582.4 Q 989.3 582.0, 989.1 581.6 Q 988.9 581.1, 988.8 581.0 L 988.8 585.7 L 988.0 585.7 L 988.0 580.0 L 988.9 580.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 953.1,619.2 L 955.3,611.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 955.3,611.2 L 957.6,603.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 982.5,579.0 L 1001.9,574.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 984.4,574.4 L 998.0,570.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-19 atom-8 atom-3\" d=\"M 968.5,564.7 L 982.5,579.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1001.9,574.1 L 1007.4,554.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1007.4,554.8 L 993.4,540.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1002.4,555.4 L 992.6,545.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 993.4,540.4 L 974.0,545.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 974.0,545.4 L 968.5,564.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 977.0,549.3 L 973.2,562.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 968.5,564.7 L 949.1,569.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 949.1,569.6 L 935.1,555.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 944.1,570.2 L 934.3,560.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-20 atom-18 atom-9\" d=\"M 943.6,588.9 L 949.1,569.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 935.1,555.2 L 926.7,557.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 926.7,557.3 L 918.3,559.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 914.7,563.5 L 912.5,571.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 912.5,571.5 L 910.2,579.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 917.9,567.0 L 916.3,572.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 916.3,572.5 L 914.7,578.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 910.2,579.4 L 901.8,581.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 901.8,581.6 L 893.4,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-12 atom-17\" d=\"M 910.2,579.4 L 915.9,585.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-12 atom-17\" d=\"M 915.9,585.3 L 921.5,591.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 888.1,581.6 L 882.5,575.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 882.5,575.8 L 876.8,570.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 876.8,570.0 L 857.5,564.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-21 atom-16 atom-14\" d=\"M 871.9,550.6 L 876.8,570.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 857.5,564.5 L 871.9,550.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 926.8,593.1 L 935.2,591.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 935.2,591.0 L 943.6,588.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 928.4,588.6 L 934.2,587.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 934.2,587.1 L 940.1,585.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 950.9 619.7 L 952.8 622.7 Q 952.9 623.0, 953.2 623.5 Q 953.5 624.1, 953.6 624.1 L 953.6 619.7 L 954.3 619.7 L 954.3 625.4 L 953.5 625.4 L 951.5 622.1 Q 951.3 621.7, 951.0 621.3 Q 950.8 620.8, 950.7 620.7 L 950.7 625.4 L 950.0 625.4 L 950.0 619.7 L 950.9 619.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 955.0 619.7 L 955.8 619.7 L 955.8 622.1 L 958.7 622.1 L 958.7 619.7 L 959.4 619.7 L 959.4 625.4 L 958.7 625.4 L 958.7 622.7 L 955.8 622.7 L 955.8 625.4 L 955.0 625.4 L 955.0 619.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 959.7 625.2 Q 959.8 624.8, 960.2 624.6 Q 960.5 624.4, 961.0 624.4 Q 961.5 624.4, 961.8 624.7 Q 962.2 625.0, 962.2 625.6 Q 962.2 626.1, 961.7 626.7 Q 961.3 627.2, 960.5 627.8 L 962.2 627.8 L 962.2 628.2 L 959.7 628.2 L 959.7 627.9 Q 960.4 627.4, 960.8 627.0 Q 961.2 626.6, 961.4 626.3 Q 961.6 625.9, 961.6 625.6 Q 961.6 625.2, 961.4 625.0 Q 961.3 624.8, 961.0 624.8 Q 960.7 624.8, 960.4 625.0 Q 960.2 625.1, 960.1 625.4 L 959.7 625.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 975.8 595.5 L 977.6 598.5 Q 977.8 598.8, 978.1 599.3 Q 978.4 599.9, 978.4 599.9 L 978.4 595.5 L 979.2 595.5 L 979.2 601.2 L 978.4 601.2 L 976.4 597.9 Q 976.2 597.5, 975.9 597.0 Q 975.7 596.6, 975.6 596.5 L 975.6 601.2 L 974.9 601.2 L 974.9 595.5 L 975.8 595.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 914.4 557.3 L 916.3 560.3 Q 916.4 560.6, 916.7 561.1 Q 917.0 561.7, 917.1 561.7 L 917.1 557.3 L 917.8 557.3 L 917.8 563.0 L 917.0 563.0 L 915.0 559.7 Q 914.8 559.3, 914.5 558.9 Q 914.3 558.4, 914.2 558.3 L 914.2 563.0 L 913.5 563.0 L 913.5 557.3 L 914.4 557.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-13\" d=\"M 889.5 581.5 L 891.4 584.5 Q 891.6 584.8, 891.9 585.4 Q 892.2 585.9, 892.2 585.9 L 892.2 581.5 L 892.9 581.5 L 892.9 587.2 L 892.1 587.2 L 890.1 583.9 Q 889.9 583.5, 889.7 583.1 Q 889.4 582.6, 889.4 582.5 L 889.4 587.2 L 888.6 587.2 L 888.6 581.5 L 889.5 581.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-13\" d=\"M 888.5 587.8 L 889.3 587.8 L 889.3 590.2 L 892.2 590.2 L 892.2 587.8 L 893.0 587.8 L 893.0 593.4 L 892.2 593.4 L 892.2 590.8 L 889.3 590.8 L 889.3 593.4 L 888.5 593.4 L 888.5 587.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-17\" d=\"M 922.9 591.0 L 924.8 594.0 Q 925.0 594.3, 925.3 594.8 Q 925.6 595.3, 925.6 595.4 L 925.6 591.0 L 926.3 591.0 L 926.3 596.6 L 925.6 596.6 L 923.6 593.3 Q 923.3 593.0, 923.1 592.5 Q 922.8 592.1, 922.8 591.9 L 922.8 596.6 L 922.0 596.6 L 922.0 591.0 L 922.9 591.0 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 897.5 669.4 L 900.0 669.4 L 900.0 661.0 L 897.3 661.8 L 896.9 660.9 L 900.4 659.3 L 901.5 659.5 L 901.5 669.4 L 903.7 669.4 L 903.7 670.7 L 897.5 670.7 L 897.5 669.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 909.1 658.3 L 910.5 658.3 L 910.5 673.8 L 909.1 673.8 L 909.1 658.3 \" fill=\"#000000\"/>\n",
@@ -3020,37 +3062,44 @@
        "<path d=\"M 958.0 659.4 Q 959.9 659.4, 960.9 660.3 Q 961.9 661.1, 961.9 662.7 Q 961.9 664.3, 960.9 665.2 Q 959.9 666.1, 958.0 666.1 L 956.2 666.1 L 956.2 670.7 L 954.6 670.7 L 954.6 659.4 L 958.0 659.4 M 958.0 664.8 Q 959.1 664.8, 959.7 664.3 Q 960.3 663.7, 960.3 662.7 Q 960.3 661.7, 959.7 661.2 Q 959.1 660.7, 958.0 660.7 L 956.2 660.7 L 956.2 664.8 L 958.0 664.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 962.4 658.6 L 963.5 658.6 L 963.5 662.0 L 962.4 662.0 L 962.4 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 967.2 658.3 L 967.2 673.8 L 963.8 673.8 L 963.8 672.7 L 965.9 672.7 L 965.9 659.5 L 963.8 659.5 L 963.8 658.3 L 967.2 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1071.4,596.0 L 1061.4,578.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1073.4,591.3 L 1066.4,579.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-0\" d=\"M 1091.5,596.0 L 1071.4,596.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1061.4,578.6 L 1065.5,571.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1065.5,571.6 L 1069.5,564.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1074.1,561.2 L 1082.8,561.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1082.8,561.2 L 1091.5,561.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1076.7,565.2 L 1082.8,565.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1082.8,565.2 L 1088.9,565.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1091.5,561.2 L 1101.5,543.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-12 atom-3\" d=\"M 1101.5,578.6 L 1091.5,561.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1101.5,543.9 L 1121.6,543.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1104.5,547.9 L 1118.5,547.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1121.6,543.9 L 1131.6,561.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1131.6,561.2 L 1151.6,561.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1134.6,565.2 L 1148.6,565.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-11 atom-6\" d=\"M 1121.6,578.6 L 1131.6,561.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1151.6,561.2 L 1161.7,578.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1161.7,578.6 L 1157.6,585.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1157.6,585.6 L 1153.6,592.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1157.0,578.7 L 1154.1,583.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1154.1,583.6 L 1151.3,588.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1149.0,596.0 L 1140.3,596.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1140.3,596.0 L 1131.6,596.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1121.6,578.6 L 1101.5,578.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1101.5,578.6 L 1091.5,596.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1096.5,579.2 L 1089.5,591.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-2\" d=\"M 1070.2 558.4 L 1072.0 561.4 Q 1072.2 561.7, 1072.5 562.2 Q 1072.8 562.8, 1072.8 562.8 L 1072.8 558.4 L 1073.6 558.4 L 1073.6 564.1 L 1072.8 564.1 L 1070.8 560.8 Q 1070.6 560.4, 1070.3 560.0 Q 1070.1 559.5, 1070.0 559.4 L 1070.0 564.1 L 1069.3 564.1 L 1069.3 558.4 L 1070.2 558.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 1150.4 593.1 L 1152.2 596.1 Q 1152.4 596.4, 1152.7 597.0 Q 1153.0 597.5, 1153.0 597.5 L 1153.0 593.1 L 1153.8 593.1 L 1153.8 598.8 L 1153.0 598.8 L 1151.0 595.5 Q 1150.8 595.1, 1150.5 594.7 Q 1150.3 594.2, 1150.2 594.1 L 1150.2 598.8 L 1149.5 598.8 L 1149.5 593.1 L 1150.4 593.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1147.8,555.0 L 1140.3,559.3\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1140.3,559.3 L 1132.9,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1132.9,563.6 L 1132.9,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-12 atom-11 atom-1\" d=\"M 1115.5,553.6 L 1132.9,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1132.9,583.7 L 1140.3,588.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1140.3,588.0 L 1147.8,592.3\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-2 atom-4\" d=\"M 1132.9,583.7 L 1115.5,593.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1115.5,593.7 L 1115.5,602.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1115.5,602.0 L 1115.5,610.4\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 1115.5,593.7 L 1098.1,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 1114.9,588.7 L 1102.8,581.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1098.1,583.7 L 1089.9,586.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1089.9,586.3 L 1081.7,589.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-10 atom-6\" d=\"M 1098.1,563.6 L 1098.1,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1076.6,586.5 L 1072.0,580.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1072.0,580.1 L 1067.3,573.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1067.3,573.6 L 1072.0,567.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1072.0,567.2 L 1076.6,560.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1071.9,574.1 L 1075.2,569.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1075.2,569.5 L 1078.5,565.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1081.7,558.3 L 1089.9,560.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1089.9,560.9 L 1098.1,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1098.1,563.6 L 1115.5,553.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1102.8,565.6 L 1114.9,558.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1115.5,553.6 L 1115.5,545.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1115.5,545.2 L 1115.5,536.9\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1151.1 553.4 Q 1151.6 553.6, 1151.9 553.9 Q 1152.2 554.3, 1152.2 554.7 Q 1152.2 555.5, 1151.7 556.0 Q 1151.2 556.4, 1150.2 556.4 L 1148.3 556.4 L 1148.3 550.7 L 1150.0 550.7 Q 1150.9 550.7, 1151.4 551.1 Q 1151.9 551.5, 1151.9 552.2 Q 1151.9 553.1, 1151.1 553.4 M 1149.1 551.4 L 1149.1 553.2 L 1150.0 553.2 Q 1150.5 553.2, 1150.8 552.9 Q 1151.1 552.7, 1151.1 552.2 Q 1151.1 551.4, 1150.0 551.4 L 1149.1 551.4 M 1150.2 555.8 Q 1150.8 555.8, 1151.1 555.5 Q 1151.4 555.2, 1151.4 554.7 Q 1151.4 554.3, 1151.0 554.0 Q 1150.7 553.8, 1150.1 553.8 L 1149.1 553.8 L 1149.1 555.8 L 1150.2 555.8 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1153.4 552.3 L 1153.5 552.9 Q 1154.0 552.2, 1154.7 552.2 Q 1154.9 552.2, 1155.2 552.3 L 1155.1 553.0 Q 1154.7 552.9, 1154.5 552.9 Q 1154.2 552.9, 1154.0 553.0 Q 1153.8 553.2, 1153.6 553.5 L 1153.6 556.4 L 1152.8 556.4 L 1152.8 552.3 L 1153.4 552.3 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-3\" d=\"M 1151.1 593.5 Q 1151.6 593.7, 1151.9 594.0 Q 1152.2 594.3, 1152.2 594.8 Q 1152.2 595.6, 1151.7 596.1 Q 1151.2 596.5, 1150.2 596.5 L 1148.3 596.5 L 1148.3 590.8 L 1150.0 590.8 Q 1150.9 590.8, 1151.4 591.2 Q 1151.9 591.6, 1151.9 592.3 Q 1151.9 593.2, 1151.1 593.5 M 1149.1 591.5 L 1149.1 593.3 L 1150.0 593.3 Q 1150.5 593.3, 1150.8 593.0 Q 1151.1 592.8, 1151.1 592.3 Q 1151.1 591.5, 1150.0 591.5 L 1149.1 591.5 M 1150.2 595.9 Q 1150.8 595.9, 1151.1 595.6 Q 1151.4 595.3, 1151.4 594.8 Q 1151.4 594.4, 1151.0 594.1 Q 1150.7 593.9, 1150.1 593.9 L 1149.1 593.9 L 1149.1 595.9 L 1150.2 595.9 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-3\" d=\"M 1153.4 592.4 L 1153.5 593.0 Q 1154.0 592.3, 1154.7 592.3 Q 1154.9 592.3, 1155.2 592.4 L 1155.1 593.1 Q 1154.7 593.0, 1154.5 593.0 Q 1154.2 593.0, 1154.0 593.1 Q 1153.8 593.3, 1153.6 593.6 L 1153.6 596.5 L 1152.8 596.5 L 1152.8 592.4 L 1153.4 592.4 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-5\" d=\"M 1116.3 613.6 Q 1116.9 613.7, 1117.2 614.1 Q 1117.4 614.4, 1117.4 614.9 Q 1117.4 615.7, 1116.9 616.1 Q 1116.4 616.6, 1115.5 616.6 L 1113.6 616.6 L 1113.6 610.9 L 1115.3 610.9 Q 1116.2 610.9, 1116.7 611.3 Q 1117.2 611.7, 1117.2 612.4 Q 1117.2 613.3, 1116.3 613.6 M 1114.3 611.5 L 1114.3 613.3 L 1115.3 613.3 Q 1115.8 613.3, 1116.1 613.1 Q 1116.4 612.8, 1116.4 612.4 Q 1116.4 611.5, 1115.3 611.5 L 1114.3 611.5 M 1115.5 615.9 Q 1116.0 615.9, 1116.3 615.7 Q 1116.6 615.4, 1116.6 614.9 Q 1116.6 614.4, 1116.3 614.2 Q 1116.0 613.9, 1115.4 613.9 L 1114.3 613.9 L 1114.3 615.9 L 1115.5 615.9 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-5\" d=\"M 1118.7 612.4 L 1118.8 613.0 Q 1119.2 612.4, 1119.9 612.4 Q 1120.2 612.4, 1120.5 612.4 L 1120.4 613.1 Q 1120.0 613.0, 1119.8 613.0 Q 1119.5 613.0, 1119.3 613.2 Q 1119.0 613.3, 1118.9 613.6 L 1118.9 616.6 L 1118.1 616.6 L 1118.1 612.4 L 1118.7 612.4 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-7\" d=\"M 1077.8 587.0 L 1079.7 590.0 Q 1079.9 590.3, 1080.2 590.8 Q 1080.5 591.4, 1080.5 591.4 L 1080.5 587.0 L 1081.2 587.0 L 1081.2 592.7 L 1080.5 592.7 L 1078.5 589.4 Q 1078.2 589.0, 1078.0 588.6 Q 1077.7 588.1, 1077.7 588.0 L 1077.7 592.7 L 1076.9 592.7 L 1076.9 587.0 L 1077.8 587.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 1076.9 593.3 L 1077.6 593.3 L 1077.6 595.7 L 1080.5 595.7 L 1080.5 593.3 L 1081.3 593.3 L 1081.3 598.9 L 1080.5 598.9 L 1080.5 596.3 L 1077.6 596.3 L 1077.6 598.9 L 1076.9 598.9 L 1076.9 593.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 1077.8 554.6 L 1079.7 557.6 Q 1079.9 557.9, 1080.2 558.4 Q 1080.5 558.9, 1080.5 559.0 L 1080.5 554.6 L 1081.2 554.6 L 1081.2 560.2 L 1080.5 560.2 L 1078.5 557.0 Q 1078.2 556.6, 1078.0 556.1 Q 1077.7 555.7, 1077.7 555.6 L 1077.7 560.2 L 1076.9 560.2 L 1076.9 554.6 L 1077.8 554.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-12\" d=\"M 1116.3 533.4 Q 1116.9 533.5, 1117.2 533.9 Q 1117.4 534.2, 1117.4 534.7 Q 1117.4 535.5, 1116.9 535.9 Q 1116.4 536.4, 1115.5 536.4 L 1113.6 536.4 L 1113.6 530.7 L 1115.3 530.7 Q 1116.2 530.7, 1116.7 531.1 Q 1117.2 531.5, 1117.2 532.2 Q 1117.2 533.1, 1116.3 533.4 M 1114.3 531.3 L 1114.3 533.1 L 1115.3 533.1 Q 1115.8 533.1, 1116.1 532.9 Q 1116.4 532.7, 1116.4 532.2 Q 1116.4 531.3, 1115.3 531.3 L 1114.3 531.3 M 1115.5 535.7 Q 1116.0 535.7, 1116.3 535.5 Q 1116.6 535.2, 1116.6 534.7 Q 1116.6 534.2, 1116.3 534.0 Q 1116.0 533.8, 1115.4 533.8 L 1114.3 533.8 L 1114.3 535.7 L 1115.5 535.7 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-12\" d=\"M 1118.7 532.2 L 1118.8 532.8 Q 1119.2 532.2, 1119.9 532.2 Q 1120.2 532.2, 1120.5 532.3 L 1120.4 532.9 Q 1120.0 532.9, 1119.8 532.9 Q 1119.5 532.9, 1119.3 533.0 Q 1119.0 533.1, 1118.9 533.4 L 1118.9 536.4 L 1118.1 536.4 L 1118.1 532.2 L 1118.7 532.2 \" fill=\"#7F4C19\"/>\n",
        "<path d=\"M 1067.5 669.4 L 1070.0 669.4 L 1070.0 661.0 L 1067.3 661.8 L 1066.9 660.9 L 1070.4 659.3 L 1071.5 659.5 L 1071.5 669.4 L 1073.7 669.4 L 1073.7 670.7 L 1067.5 670.7 L 1067.5 669.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 658.3 L 1080.5 658.3 L 1080.5 673.8 L 1079.1 673.8 L 1079.1 658.3 \" fill=\"#000000\"/>\n",
@@ -3066,35 +3115,39 @@
        "<path d=\"M 1128.0 659.4 Q 1129.9 659.4, 1130.9 660.3 Q 1131.9 661.1, 1131.9 662.7 Q 1131.9 664.3, 1130.9 665.2 Q 1129.9 666.1, 1128.0 666.1 L 1126.2 666.1 L 1126.2 670.7 L 1124.6 670.7 L 1124.6 659.4 L 1128.0 659.4 M 1128.0 664.8 Q 1129.1 664.8, 1129.7 664.3 Q 1130.3 663.7, 1130.3 662.7 Q 1130.3 661.7, 1129.7 661.2 Q 1129.1 660.7, 1128.0 660.7 L 1126.2 660.7 L 1126.2 664.8 L 1128.0 664.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.4 658.6 L 1133.5 658.6 L 1133.5 662.0 L 1132.4 662.0 L 1132.4 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.2 658.3 L 1137.2 673.8 L 1133.8 673.8 L 1133.8 672.7 L 1135.9 672.7 L 1135.9 659.5 L 1133.8 659.5 L 1133.8 658.3 L 1137.2 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 44.6,734.0 L 52.6,737.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 52.6,737.1 L 60.6,740.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 60.6,740.2 L 61.9,748.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 61.9,748.4 L 63.2,756.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 65.0,742.0 L 65.9,747.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 65.9,747.8 L 66.8,753.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 73.6,729.7 L 67.1,734.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 67.1,734.9 L 60.6,740.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 66.4,761.0 L 74.4,764.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 74.4,764.1 L 82.4,767.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 82.4,767.2 L 98.0,754.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 82.3,762.2 L 93.2,753.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 98.0,754.6 L 116.7,761.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 94.9,734.8 L 98.0,754.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 116.7,761.8 L 132.3,749.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 116.6,756.8 L 127.5,748.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 132.3,749.2 L 129.2,729.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 129.2,729.4 L 110.5,722.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 125.0,732.1 L 111.9,727.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 110.5,722.2 L 94.9,734.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 94.9,734.8 L 86.9,731.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 86.9,731.7 L 78.9,728.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 91.1,737.6 L 85.5,735.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 85.5,735.4 L 79.9,733.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 31.9 730.1 L 32.7 730.1 L 32.7 732.5 L 35.6 732.5 L 35.6 730.1 L 36.3 730.1 L 36.3 735.8 L 35.6 735.8 L 35.6 733.2 L 32.7 733.2 L 32.7 735.8 L 31.9 735.8 L 31.9 730.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 36.6 735.6 Q 36.7 735.2, 37.1 735.0 Q 37.4 734.8, 37.9 734.8 Q 38.4 734.8, 38.7 735.1 Q 39.1 735.4, 39.1 736.0 Q 39.1 736.5, 38.6 737.1 Q 38.2 737.6, 37.4 738.2 L 39.1 738.2 L 39.1 738.6 L 36.6 738.6 L 36.6 738.3 Q 37.3 737.8, 37.7 737.4 Q 38.1 737.0, 38.3 736.7 Q 38.5 736.4, 38.5 736.0 Q 38.5 735.7, 38.3 735.5 Q 38.2 735.3, 37.9 735.3 Q 37.5 735.3, 37.3 735.4 Q 37.1 735.5, 37.0 735.8 L 36.6 735.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 40.7 730.1 L 42.5 733.1 Q 42.7 733.4, 43.0 733.9 Q 43.3 734.5, 43.3 734.5 L 43.3 730.1 L 44.1 730.1 L 44.1 735.8 L 43.3 735.8 L 41.3 732.5 Q 41.1 732.1, 40.8 731.7 Q 40.6 731.2, 40.5 731.1 L 40.5 735.8 L 39.8 735.8 L 39.8 730.1 L 40.7 730.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 62.5 757.1 L 64.3 760.1 Q 64.5 760.4, 64.8 761.0 Q 65.1 761.5, 65.1 761.5 L 65.1 757.1 L 65.9 757.1 L 65.9 762.8 L 65.1 762.8 L 63.1 759.5 Q 62.9 759.1, 62.6 758.7 Q 62.4 758.3, 62.3 758.1 L 62.3 762.8 L 61.6 762.8 L 61.6 757.1 L 62.5 757.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 75.0 724.7 L 76.8 727.7 Q 77.0 728.0, 77.3 728.6 Q 77.6 729.1, 77.6 729.1 L 77.6 724.7 L 78.4 724.7 L 78.4 730.4 L 77.6 730.4 L 75.6 727.1 Q 75.4 726.7, 75.1 726.3 Q 74.9 725.9, 74.8 725.7 L 74.8 730.4 L 74.1 730.4 L 74.1 724.7 L 75.0 724.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 25.7,740.8 L 34.1,739.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 34.1,739.5 L 42.4,738.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 25.1,736.8 L 33.5,735.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 33.5,735.6 L 41.8,734.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 42.1,736.3 L 47.0,742.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 47.0,742.5 L 51.9,748.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 57.3,751.6 L 65.8,750.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 65.8,750.4 L 74.4,749.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 74.4,749.1 L 80.1,754.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 80.1,754.9 L 85.8,760.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 79.0,748.0 L 83.0,752.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 83.0,752.1 L 87.0,756.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-3\" d=\"M 82.0,734.7 L 78.2,741.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-3\" d=\"M 78.2,741.9 L 74.4,749.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 91.1,762.1 L 98.8,758.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 98.8,758.3 L 106.4,754.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 106.4,754.5 L 125.1,761.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 110.7,751.9 L 123.7,757.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 103.5,734.6 L 106.4,754.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 125.1,761.9 L 140.8,749.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 140.8,749.4 L 137.8,729.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 136.4,747.0 L 134.3,733.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 137.8,729.6 L 119.2,722.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 119.2,722.2 L 103.5,734.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 119.3,727.2 L 108.3,735.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 103.5,734.6 L 94.9,733.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 94.9,733.2 L 86.4,731.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 19.7 739.3 Q 19.7 737.9, 20.4 737.2 Q 21.0 736.4, 22.3 736.4 Q 23.6 736.4, 24.2 737.2 Q 24.9 737.9, 24.9 739.3 Q 24.9 740.7, 24.2 741.4 Q 23.6 742.2, 22.3 742.2 Q 21.1 742.2, 20.4 741.4 Q 19.7 740.7, 19.7 739.3 M 22.3 741.6 Q 23.2 741.6, 23.6 741.0 Q 24.1 740.4, 24.1 739.3 Q 24.1 738.2, 23.6 737.6 Q 23.2 737.0, 22.3 737.0 Q 21.4 737.0, 21.0 737.6 Q 20.5 738.2, 20.5 739.3 Q 20.5 740.4, 21.0 741.0 Q 21.4 741.6, 22.3 741.6 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-2\" d=\"M 47.3 749.2 L 48.1 749.2 L 48.1 751.6 L 51.0 751.6 L 51.0 749.2 L 51.8 749.2 L 51.8 754.9 L 51.0 754.9 L 51.0 752.2 L 48.1 752.2 L 48.1 754.9 L 47.3 754.9 L 47.3 749.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 53.3 749.2 L 55.2 752.2 Q 55.4 752.5, 55.7 753.0 Q 56.0 753.6, 56.0 753.6 L 56.0 749.2 L 56.8 749.2 L 56.8 754.9 L 56.0 754.9 L 54.0 751.6 Q 53.7 751.2, 53.5 750.8 Q 53.3 750.3, 53.2 750.2 L 53.2 754.9 L 52.4 754.9 L 52.4 749.2 L 53.3 749.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 87.2 760.6 L 89.1 763.6 Q 89.3 763.9, 89.6 764.4 Q 89.8 764.9, 89.9 765.0 L 89.9 760.6 L 90.6 760.6 L 90.6 766.2 L 89.8 766.2 L 87.8 763.0 Q 87.6 762.6, 87.4 762.1 Q 87.1 761.7, 87.1 761.6 L 87.1 766.2 L 86.3 766.2 L 86.3 760.6 L 87.2 760.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 76.4 728.5 L 77.2 728.5 L 77.2 730.9 L 80.1 730.9 L 80.1 728.5 L 80.9 728.5 L 80.9 734.2 L 80.1 734.2 L 80.1 731.5 L 77.2 731.5 L 77.2 734.2 L 76.4 734.2 L 76.4 728.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 82.5 728.5 L 84.3 731.5 Q 84.5 731.8, 84.8 732.3 Q 85.1 732.9, 85.1 732.9 L 85.1 728.5 L 85.9 728.5 L 85.9 734.2 L 85.1 734.2 L 83.1 730.9 Q 82.9 730.5, 82.6 730.0 Q 82.4 729.6, 82.3 729.5 L 82.3 734.2 L 81.6 734.2 L 81.6 728.5 L 82.5 728.5 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 839.4 L 50.0 839.4 L 50.0 831.0 L 47.3 831.8 L 46.9 830.9 L 50.4 829.3 L 51.5 829.5 L 51.5 839.4 L 53.7 839.4 L 53.7 840.7 L 47.5 840.7 L 47.5 839.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 828.3 L 60.5 828.3 L 60.5 843.8 L 59.1 843.8 L 59.1 828.3 \" fill=\"#000000\"/>\n",
@@ -3110,41 +3163,35 @@
        "<path d=\"M 108.0 829.4 Q 109.9 829.4, 110.9 830.3 Q 111.9 831.1, 111.9 832.7 Q 111.9 834.3, 110.9 835.2 Q 109.9 836.1, 108.0 836.1 L 106.2 836.1 L 106.2 840.7 L 104.6 840.7 L 104.6 829.4 L 108.0 829.4 M 108.0 834.8 Q 109.1 834.8, 109.7 834.3 Q 110.3 833.7, 110.3 832.7 Q 110.3 831.7, 109.7 831.2 Q 109.1 830.7, 108.0 830.7 L 106.2 830.7 L 106.2 834.8 L 108.0 834.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 112.4 828.6 L 113.5 828.6 L 113.5 832.0 L 112.4 832.0 L 112.4 828.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 828.3 L 117.2 843.8 L 113.8 843.8 L 113.8 842.7 L 115.9 842.7 L 115.9 829.5 L 113.8 829.5 L 113.8 828.3 L 117.2 828.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 210.3,720.3 L 215.3,726.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 215.3,726.2 L 220.3,732.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 213.3,717.7 L 218.4,723.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 218.4,723.6 L 223.4,729.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 221.8,730.9 L 215.1,749.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 238.9,727.7 L 230.4,729.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 230.4,729.3 L 221.8,730.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 215.1,749.7 L 228.1,765.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 220.1,749.4 L 229.2,760.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 228.1,765.0 L 247.8,761.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 247.8,761.4 L 260.8,776.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 252.8,761.1 L 261.9,771.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-13 atom-4\" d=\"M 254.5,742.5 L 247.8,761.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 260.8,776.7 L 269.3,775.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 269.3,775.2 L 277.8,773.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 281.7,769.8 L 284.5,762.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 284.5,762.0 L 287.2,754.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 278.7,766.1 L 280.7,760.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 280.7,760.7 L 282.6,755.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 287.2,754.2 L 307.0,750.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-12 atom-7\" d=\"M 274.3,739.0 L 287.2,754.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 307.0,750.7 L 313.7,731.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 304.2,746.5 L 308.9,733.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 313.7,731.8 L 300.7,716.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 300.7,716.5 L 281.0,720.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 298.5,721.0 L 284.7,723.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 281.0,720.1 L 274.3,739.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 274.3,739.0 L 254.5,742.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 272.0,743.4 L 258.2,746.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 254.5,742.5 L 249.4,736.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 249.4,736.5 L 244.2,730.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 206.3 715.6 Q 206.3 714.2, 206.9 713.5 Q 207.6 712.7, 208.9 712.7 Q 210.1 712.7, 210.8 713.5 Q 211.5 714.2, 211.5 715.6 Q 211.5 717.0, 210.8 717.7 Q 210.1 718.5, 208.9 718.5 Q 207.6 718.5, 206.9 717.7 Q 206.3 717.0, 206.3 715.6 M 208.9 717.9 Q 209.7 717.9, 210.2 717.3 Q 210.7 716.7, 210.7 715.6 Q 210.7 714.5, 210.2 713.9 Q 209.7 713.3, 208.9 713.3 Q 208.0 713.3, 207.5 713.9 Q 207.1 714.5, 207.1 715.6 Q 207.1 716.7, 207.5 717.3 Q 208.0 717.9, 208.9 717.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-6\" d=\"M 279.2 770.3 L 281.1 773.3 Q 281.3 773.6, 281.6 774.1 Q 281.9 774.7, 281.9 774.7 L 281.9 770.3 L 282.6 770.3 L 282.6 776.0 L 281.9 776.0 L 279.9 772.7 Q 279.6 772.3, 279.4 771.8 Q 279.1 771.4, 279.1 771.3 L 279.1 776.0 L 278.3 776.0 L 278.3 770.3 L 279.2 770.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-14\" d=\"M 240.3 724.4 L 242.2 727.4 Q 242.4 727.7, 242.7 728.3 Q 243.0 728.8, 243.0 728.8 L 243.0 724.4 L 243.7 724.4 L 243.7 730.1 L 242.9 730.1 L 241.0 726.8 Q 240.7 726.4, 240.5 726.0 Q 240.2 725.5, 240.2 725.4 L 240.2 730.1 L 239.4 730.1 L 239.4 724.4 L 240.3 724.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-14\" d=\"M 239.4 718.2 L 240.1 718.2 L 240.1 720.6 L 243.0 720.6 L 243.0 718.2 L 243.8 718.2 L 243.8 723.9 L 243.0 723.9 L 243.0 721.2 L 240.1 721.2 L 240.1 723.9 L 239.4 723.9 L 239.4 718.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 214.6,734.0 L 222.6,737.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 222.6,737.1 L 230.6,740.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 230.6,740.2 L 231.9,748.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 231.9,748.4 L 233.2,756.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 235.0,742.0 L 235.9,747.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 235.9,747.8 L 236.8,753.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 243.6,729.7 L 237.1,734.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 237.1,734.9 L 230.6,740.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 236.4,761.0 L 244.4,764.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 244.4,764.1 L 252.4,767.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 252.4,767.2 L 268.0,754.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 252.3,762.2 L 263.2,753.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 268.0,754.6 L 286.7,761.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 264.9,734.8 L 268.0,754.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 286.7,761.8 L 302.3,749.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 286.6,756.8 L 297.5,748.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 302.3,749.2 L 299.2,729.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 299.2,729.4 L 280.5,722.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 295.0,732.1 L 281.9,727.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 280.5,722.2 L 264.9,734.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 264.9,734.8 L 256.9,731.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 256.9,731.7 L 248.9,728.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 255.5,735.4 L 249.9,733.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"atom-0\" d=\"M 210.7 730.1 L 212.5 733.1 Q 212.7 733.4, 213.0 733.9 Q 213.3 734.5, 213.3 734.5 L 213.3 730.1 L 214.1 730.1 L 214.1 735.8 L 213.3 735.8 L 211.3 732.5 Q 211.1 732.1, 210.8 731.7 Q 210.6 731.2, 210.5 731.1 L 210.5 735.8 L 209.8 735.8 L 209.8 730.1 L 210.7 730.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 232.5 757.1 L 234.3 760.1 Q 234.5 760.4, 234.8 761.0 Q 235.1 761.5, 235.1 761.5 L 235.1 757.1 L 235.9 757.1 L 235.9 762.8 L 235.1 762.8 L 233.1 759.5 Q 232.9 759.1, 232.6 758.7 Q 232.4 758.3, 232.3 758.1 L 232.3 762.8 L 231.6 762.8 L 231.6 757.1 L 232.5 757.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 245.0 724.7 L 246.8 727.7 Q 247.0 728.0, 247.3 728.6 Q 247.6 729.1, 247.6 729.1 L 247.6 724.7 L 248.4 724.7 L 248.4 730.4 L 247.6 730.4 L 245.6 727.1 Q 245.4 726.7, 245.1 726.3 Q 244.9 725.9, 244.8 725.7 L 244.8 730.4 L 244.1 730.4 L 244.1 724.7 L 245.0 724.7 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 217.5 839.4 L 220.0 839.4 L 220.0 831.0 L 217.3 831.8 L 216.9 830.9 L 220.4 829.3 L 221.5 829.5 L 221.5 839.4 L 223.7 839.4 L 223.7 840.7 L 217.5 840.7 L 217.5 839.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 229.1 828.3 L 230.5 828.3 L 230.5 843.8 L 229.1 843.8 L 229.1 828.3 \" fill=\"#000000\"/>\n",
@@ -3160,53 +3207,48 @@
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        "<path d=\"M 282.4 828.6 L 283.5 828.6 L 283.5 832.0 L 282.4 832.0 L 282.4 828.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 287.2 828.3 L 287.2 843.8 L 283.8 843.8 L 283.8 842.7 L 285.9 842.7 L 285.9 829.5 L 283.8 829.5 L 283.8 828.3 L 287.2 828.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 447.2,782.3 L 439.4,779.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 439.4,779.3 L 431.6,776.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 445.7,786.1 L 437.9,783.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 437.9,783.0 L 430.1,780.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 430.8,778.1 L 424.4,783.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 424.4,783.4 L 417.9,788.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-18 atom-18 atom-1\" d=\"M 427.8,758.3 L 430.8,778.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 412.6,789.7 L 404.5,786.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 404.5,786.6 L 396.5,783.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 396.5,783.4 L 393.5,763.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 400.0,779.9 L 397.9,766.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 393.5,763.6 L 409.1,751.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 409.1,751.1 L 406.0,731.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 412.6,747.5 L 410.5,733.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-19 atom-18 atom-5\" d=\"M 427.8,758.3 L 409.1,751.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 406.0,731.3 L 399.0,726.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 399.0,726.6 L 391.9,722.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-20 atom-10 atom-6\" d=\"M 421.7,718.7 L 406.0,731.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 390.2,716.9 L 392.3,708.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 392.3,708.9 L 394.5,700.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 394.5,700.9 L 403.2,700.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 403.2,700.5 L 411.9,700.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 397.3,704.8 L 403.4,704.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 421.7,718.7 L 440.3,726.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 440.3,726.0 L 456.0,713.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-21 atom-17 atom-11\" d=\"M 443.4,745.8 L 440.3,726.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 456.0,713.4 L 474.7,720.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 457.3,718.2 L 470.4,723.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 474.7,720.7 L 477.7,740.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 477.7,740.5 L 486.0,743.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 486.0,743.7 L 494.2,746.9\" style=\"fill:none;fill-rule:evenodd;stroke:#33CCCC;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-14 atom-16\" d=\"M 477.7,740.5 L 462.1,753.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-14 atom-16\" d=\"M 472.9,739.2 L 461.9,748.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 462.1,753.0 L 443.4,745.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 443.4,745.8 L 427.8,758.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 438.6,744.5 L 427.6,753.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 446.9 785.4 Q 446.9 784.1, 447.6 783.3 Q 448.3 782.5, 449.5 782.5 Q 450.8 782.5, 451.5 783.3 Q 452.1 784.1, 452.1 785.4 Q 452.1 786.8, 451.5 787.6 Q 450.8 788.4, 449.5 788.4 Q 448.3 788.4, 447.6 787.6 Q 446.9 786.8, 446.9 785.4 M 449.5 787.7 Q 450.4 787.7, 450.9 787.1 Q 451.3 786.6, 451.3 785.4 Q 451.3 784.3, 450.9 783.7 Q 450.4 783.2, 449.5 783.2 Q 448.7 783.2, 448.2 783.7 Q 447.7 784.3, 447.7 785.4 Q 447.7 786.6, 448.2 787.1 Q 448.7 787.7, 449.5 787.7 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 414.0 787.9 L 415.8 790.9 Q 416.0 791.2, 416.3 791.7 Q 416.6 792.2, 416.6 792.3 L 416.6 787.9 L 417.4 787.9 L 417.4 793.5 L 416.6 793.5 L 414.6 790.3 Q 414.4 789.9, 414.1 789.4 Q 413.9 789.0, 413.8 788.9 L 413.8 793.5 L 413.1 793.5 L 413.1 787.9 L 414.0 787.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 413.0 794.1 L 413.8 794.1 L 413.8 796.5 L 416.7 796.5 L 416.7 794.1 L 417.4 794.1 L 417.4 799.8 L 416.7 799.8 L 416.7 797.2 L 413.8 797.2 L 413.8 799.8 L 413.0 799.8 L 413.0 794.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 382.0 717.4 L 382.8 717.4 L 382.8 719.9 L 385.7 719.9 L 385.7 717.4 L 386.4 717.4 L 386.4 723.1 L 385.7 723.1 L 385.7 720.5 L 382.8 720.5 L 382.8 723.1 L 382.0 723.1 L 382.0 717.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 388.0 717.4 L 389.9 720.5 Q 390.0 720.7, 390.3 721.3 Q 390.6 721.8, 390.7 721.9 L 390.7 717.4 L 391.4 717.4 L 391.4 723.1 L 390.6 723.1 L 388.6 719.8 Q 388.4 719.4, 388.2 719.0 Q 387.9 718.6, 387.8 718.4 L 387.8 723.1 L 387.1 723.1 L 387.1 717.4 L 388.0 717.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 413.3 697.1 L 415.2 700.1 Q 415.3 700.4, 415.6 701.0 Q 415.9 701.5, 415.9 701.5 L 415.9 697.1 L 416.7 697.1 L 416.7 702.8 L 415.9 702.8 L 413.9 699.5 Q 413.7 699.1, 413.4 698.7 Q 413.2 698.2, 413.1 698.1 L 413.1 702.8 L 412.4 702.8 L 412.4 697.1 L 413.3 697.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-15\" d=\"M 494.7 744.9 L 498.1 744.9 L 498.1 745.5 L 495.5 745.5 L 495.5 747.3 L 497.8 747.3 L 497.8 747.9 L 495.5 747.9 L 495.5 750.6 L 494.7 750.6 L 494.7 744.9 \" fill=\"#33CCCC\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 403.8,774.9 L 403.1,766.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 403.1,766.5 L 402.4,758.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 402.4,758.2 L 394.6,754.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 394.6,754.6 L 386.9,751.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 401.7,753.5 L 396.3,751.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 396.3,751.0 L 390.9,748.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 416.2,748.6 L 409.3,753.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 409.3,753.4 L 402.4,758.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 383.9,746.4 L 383.2,738.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 383.2,738.1 L 382.5,729.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 382.5,729.7 L 399.0,718.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 387.3,731.3 L 398.8,723.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 399.0,718.3 L 417.1,726.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 417.1,726.8 L 435.6,719.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 421.4,729.3 L 434.4,723.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-14 atom-5\" d=\"M 418.5,743.4 L 417.8,735.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-14 atom-5\" d=\"M 417.8,735.1 L 417.1,726.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 435.6,719.0 L 448.7,734.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 448.7,734.2 L 468.7,734.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 451.6,738.2 L 465.7,738.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-13 atom-7\" d=\"M 438.3,751.3 L 448.7,734.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 468.7,734.6 L 472.9,727.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 472.9,727.7 L 477.0,720.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-8 atom-10\" d=\"M 468.7,734.6 L 478.4,752.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 478.4,752.1 L 468.1,769.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 473.4,752.6 L 466.2,764.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 468.1,769.3 L 459.4,769.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 459.4,769.1 L 450.7,768.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 446.2,765.5 L 442.3,758.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 442.3,758.4 L 438.3,751.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 448.5,761.5 L 445.8,756.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 445.8,756.5 L 443.0,751.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 438.3,751.3 L 429.9,749.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 429.9,749.4 L 421.5,747.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 402.8 775.4 L 404.7 778.4 Q 404.9 778.7, 405.2 779.2 Q 405.5 779.7, 405.5 779.8 L 405.5 775.4 L 406.2 775.4 L 406.2 781.0 L 405.4 781.0 L 403.4 777.8 Q 403.2 777.4, 403.0 776.9 Q 402.7 776.5, 402.7 776.4 L 402.7 781.0 L 401.9 781.0 L 401.9 775.4 L 402.8 775.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 406.9 775.4 L 407.7 775.4 L 407.7 777.8 L 410.6 777.8 L 410.6 775.4 L 411.3 775.4 L 411.3 781.0 L 410.6 781.0 L 410.6 778.4 L 407.7 778.4 L 407.7 781.0 L 406.9 781.0 L 406.9 775.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 411.6 780.8 Q 411.8 780.5, 412.1 780.3 Q 412.4 780.1, 412.9 780.1 Q 413.4 780.1, 413.8 780.4 Q 414.1 780.7, 414.1 781.3 Q 414.1 781.8, 413.7 782.3 Q 413.3 782.8, 412.4 783.5 L 414.1 783.5 L 414.1 783.9 L 411.6 783.9 L 411.6 783.5 Q 412.3 783.0, 412.7 782.7 Q 413.1 782.3, 413.3 782.0 Q 413.5 781.6, 413.5 781.3 Q 413.5 780.9, 413.4 780.7 Q 413.2 780.5, 412.9 780.5 Q 412.6 780.5, 412.4 780.6 Q 412.2 780.8, 412.0 781.0 L 411.6 780.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 383.0 746.9 L 384.8 749.9 Q 385.0 750.2, 385.3 750.7 Q 385.6 751.3, 385.6 751.3 L 385.6 746.9 L 386.4 746.9 L 386.4 752.6 L 385.6 752.6 L 383.6 749.3 Q 383.4 748.9, 383.1 748.4 Q 382.9 748.0, 382.8 747.9 L 382.8 752.6 L 382.1 752.6 L 382.1 746.9 L 383.0 746.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 476.5 717.4 Q 476.5 716.0, 477.2 715.3 Q 477.8 714.5, 479.1 714.5 Q 480.4 714.5, 481.0 715.3 Q 481.7 716.0, 481.7 717.4 Q 481.7 718.8, 481.0 719.6 Q 480.3 720.3, 479.1 720.3 Q 477.9 720.3, 477.2 719.6 Q 476.5 718.8, 476.5 717.4 M 479.1 719.7 Q 480.0 719.7, 480.4 719.1 Q 480.9 718.5, 480.9 717.4 Q 480.9 716.3, 480.4 715.7 Q 480.0 715.2, 479.1 715.2 Q 478.2 715.2, 477.8 715.7 Q 477.3 716.3, 477.3 717.4 Q 477.3 718.6, 477.8 719.1 Q 478.2 719.7, 479.1 719.7 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-9\" d=\"M 482.4 714.6 L 483.2 714.6 L 483.2 717.0 L 486.1 717.0 L 486.1 714.6 L 486.8 714.6 L 486.8 720.3 L 486.1 720.3 L 486.1 717.6 L 483.2 717.6 L 483.2 720.3 L 482.4 720.3 L 482.4 714.6 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-12\" d=\"M 446.8 766.0 L 448.6 769.0 Q 448.8 769.3, 449.1 769.9 Q 449.4 770.4, 449.4 770.4 L 449.4 766.0 L 450.2 766.0 L 450.2 771.7 L 449.4 771.7 L 447.4 768.4 Q 447.2 768.0, 446.9 767.6 Q 446.7 767.2, 446.6 767.0 L 446.6 771.7 L 445.9 771.7 L 445.9 766.0 L 446.8 766.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-14\" d=\"M 417.6 743.9 L 419.4 746.9 Q 419.6 747.2, 419.9 747.8 Q 420.2 748.3, 420.2 748.3 L 420.2 743.9 L 421.0 743.9 L 421.0 749.6 L 420.2 749.6 L 418.2 746.3 Q 418.0 745.9, 417.7 745.5 Q 417.5 745.1, 417.4 744.9 L 417.4 749.6 L 416.7 749.6 L 416.7 743.9 L 417.6 743.9 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 387.5 839.4 L 390.0 839.4 L 390.0 831.0 L 387.3 831.8 L 386.9 830.9 L 390.4 829.3 L 391.5 829.5 L 391.5 839.4 L 393.7 839.4 L 393.7 840.7 L 387.5 840.7 L 387.5 839.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 399.1 828.3 L 400.5 828.3 L 400.5 843.8 L 399.1 843.8 L 399.1 828.3 \" fill=\"#000000\"/>\n",
@@ -3222,55 +3264,43 @@
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        "<path d=\"M 452.4 828.6 L 453.5 828.6 L 453.5 832.0 L 452.4 832.0 L 452.4 828.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 613.1,789.2 L 615.3,781.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 615.3,781.2 L 617.6,773.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 617.6,773.2 L 626.0,771.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 626.0,771.1 L 634.4,769.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 619.1,768.7 L 625.0,767.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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@@ -3286,43 +3316,41 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 806.4,760.6 L 792.4,761.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-5 atom-0\" d=\"M 816.8,749.7 L 813.3,757.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-5 atom-0\" d=\"M 813.3,757.0 L 809.7,764.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 789.7,765.8 L 778.5,749.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 778.5,749.2 L 787.2,731.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 783.4,748.2 L 789.5,735.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-12 atom-2\" d=\"M 758.5,750.6 L 778.5,749.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 787.2,731.1 L 807.2,729.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-3 atom-6\" d=\"M 787.2,731.1 L 782.7,724.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-3 atom-6\" d=\"M 782.7,724.5 L 778.3,717.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 807.2,729.7 L 811.7,736.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 811.7,736.3 L 816.2,743.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 805.3,733.9 L 808.4,738.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 808.4,738.6 L 811.5,743.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 773.3,714.7 L 764.7,715.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 764.7,715.4 L 756.0,716.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 771.0,718.9 L 765.0,719.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 765.0,719.3 L 758.9,719.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 756.0,716.0 L 747.2,734.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 747.2,734.0 L 738.9,736.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 738.9,736.4 L 730.6,738.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-12 atom-8\" d=\"M 758.5,750.6 L 747.2,734.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-12 atom-8\" d=\"M 760.1,745.9 L 752.2,734.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 727.9,742.9 L 727.6,751.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 727.6,751.3 L 727.3,759.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 731.8,745.5 L 731.6,751.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 731.6,751.4 L 731.4,757.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 727.3,759.6 L 735.4,762.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 735.4,762.5 L 743.5,765.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 748.8,763.1 L 753.6,756.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 753.6,756.8 L 758.5,750.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-5\" d=\"M 817.2 743.5 L 819.1 746.5 Q 819.3 746.8, 819.5 747.3 Q 819.8 747.9, 819.9 747.9 L 819.9 743.5 L 820.6 743.5 L 820.6 749.1 L 819.8 749.1 L 817.8 745.9 Q 817.6 745.5, 817.4 745.0 Q 817.1 744.6, 817.0 744.5 L 817.0 749.1 L 816.3 749.1 L 816.3 743.5 L 817.2 743.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 774.7 711.7 L 776.6 714.7 Q 776.8 715.0, 777.1 715.5 Q 777.4 716.1, 777.4 716.1 L 777.4 711.7 L 778.1 711.7 L 778.1 717.4 L 777.4 717.4 L 775.4 714.1 Q 775.1 713.7, 774.9 713.3 Q 774.6 712.8, 774.6 712.7 L 774.6 717.4 L 773.8 717.4 L 773.8 711.7 L 774.7 711.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 726.7 736.7 L 728.6 739.7 Q 728.8 740.0, 729.1 740.6 Q 729.4 741.1, 729.4 741.1 L 729.4 736.7 L 730.1 736.7 L 730.1 742.4 L 729.3 742.4 L 727.4 739.1 Q 727.1 738.7, 726.9 738.3 Q 726.6 737.8, 726.6 737.7 L 726.6 742.4 L 725.8 742.4 L 725.8 736.7 L 726.7 736.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 744.9 763.6 L 746.8 766.6 Q 746.9 766.9, 747.2 767.4 Q 747.5 768.0, 747.6 768.0 L 747.6 763.6 L 748.3 763.6 L 748.3 769.3 L 747.5 769.3 L 745.5 766.0 Q 745.3 765.6, 745.1 765.1 Q 744.8 764.7, 744.7 764.6 L 744.7 769.3 L 744.0 769.3 L 744.0 763.6 L 744.9 763.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 743.9 769.8 L 744.7 769.8 L 744.7 772.2 L 747.6 772.2 L 747.6 769.8 L 748.4 769.8 L 748.4 775.5 L 747.6 775.5 L 747.6 772.9 L 744.7 772.9 L 744.7 775.5 L 743.9 775.5 L 743.9 769.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 709.3,754.4 L 717.5,751.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 717.5,751.9 L 725.8,749.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 710.5,758.3 L 717.5,756.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 717.5,756.1 L 724.5,754.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 708.1,750.6 L 715.1,748.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 715.1,748.5 L 722.2,746.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 725.8,749.4 L 745.0,743.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 745.0,743.5 L 749.5,724.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 749.6,741.5 L 752.7,727.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-2\" d=\"M 759.6,757.2 L 745.0,743.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 749.5,724.0 L 768.6,718.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 768.6,718.1 L 783.3,731.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 768.1,723.1 L 778.4,732.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 783.3,731.8 L 792.0,731.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 792.0,731.0 L 800.6,730.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 778.8,751.3 L 783.3,731.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"atom-8\" d=\"M 838.2 755.6 Q 838.4 755.3, 838.7 755.1 Q 839.0 754.9, 839.5 754.9 Q 840.0 754.9, 840.3 755.2 Q 840.7 755.5, 840.7 756.0 Q 840.7 756.6, 840.3 757.1 Q 839.8 757.6, 839.0 758.2 L 840.7 758.2 L 840.7 758.6 L 838.2 758.6 L 838.2 758.3 Q 838.9 757.8, 839.3 757.4 Q 839.7 757.1, 839.9 756.7 Q 840.1 756.4, 840.1 756.0 Q 840.1 755.7, 840.0 755.5 Q 839.8 755.3, 839.5 755.3 Q 839.2 755.3, 839.0 755.4 Q 838.8 755.5, 838.6 755.8 L 838.2 755.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 794.7 758.8 L 796.6 761.8 Q 796.8 762.1, 797.1 762.6 Q 797.4 763.2, 797.4 763.2 L 797.4 758.8 L 798.2 758.8 L 798.2 764.5 L 797.4 764.5 L 795.4 761.2 Q 795.1 760.8, 794.9 760.3 Q 794.7 759.9, 794.6 759.8 L 794.6 764.5 L 793.8 764.5 L 793.8 758.8 L 794.7 758.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 793.8 765.0 L 794.6 765.0 L 794.6 767.4 L 797.5 767.4 L 797.5 765.0 L 798.2 765.0 L 798.2 770.7 L 797.5 770.7 L 797.5 768.1 L 794.6 768.1 L 794.6 770.7 L 793.8 770.7 L 793.8 765.0 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 727.5 839.4 L 730.0 839.4 L 730.0 831.0 L 727.3 831.8 L 726.9 830.9 L 730.4 829.3 L 731.5 829.5 L 731.5 839.4 L 733.7 839.4 L 733.7 840.7 L 727.5 840.7 L 727.5 839.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 739.1 828.3 L 740.5 828.3 L 740.5 843.8 L 739.1 843.8 L 739.1 828.3 \" fill=\"#000000\"/>\n",
@@ -3338,46 +3366,30 @@
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        "<path d=\"M 792.4 828.6 L 793.5 828.6 L 793.5 832.0 L 792.4 832.0 L 792.4 828.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 893.2,775.9 L 894.6,767.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 894.6,767.6 L 896.1,759.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 896.1,759.3 L 880.7,746.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 896.3,754.3 L 885.5,745.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-6 atom-1\" d=\"M 914.9,752.4 L 896.1,759.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 880.7,746.5 L 884.1,726.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 884.1,726.7 L 902.9,719.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 888.3,729.4 L 901.4,724.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 902.9,719.8 L 918.3,732.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 918.3,732.6 L 914.9,752.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 913.8,734.9 L 911.4,748.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-19 atom-17 atom-5\" d=\"M 938.1,729.8 L 918.3,732.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 914.9,752.4 L 922.4,756.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 922.4,756.3 L 930.0,760.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 935.3,759.1 L 941.1,753.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 941.1,753.4 L 947.0,747.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 947.0,747.7 L 967.0,749.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 950.2,743.9 L 964.2,744.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-18 atom-17 atom-8\" d=\"M 938.1,729.8 L 947.0,747.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 967.0,749.1 L 975.8,767.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-20 atom-14 atom-9\" d=\"M 978.1,732.4 L 967.0,749.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 975.8,767.0 L 995.8,768.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 979.1,763.2 L 993.1,764.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 995.8,768.4 L 1007.0,751.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1007.0,751.7 L 998.1,733.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1002.1,750.8 L 995.9,738.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 998.1,733.7 L 978.1,732.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 978.1,732.4 L 974.5,725.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 974.5,725.1 L 970.9,717.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 973.4,732.0 L 970.9,726.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 970.9,726.8 L 968.4,721.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 966.6,714.2 L 957.9,713.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 957.9,713.7 L 949.3,713.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 949.3,713.1 L 938.1,729.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 950.9,717.8 L 943.1,729.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 890.5 779.3 Q 890.5 777.8, 891.1 777.1 Q 891.8 776.4, 893.0 776.4 Q 894.2 776.4, 894.8 777.2 L 894.3 777.6 Q 893.9 777.0, 893.0 777.0 Q 892.2 777.0, 891.7 777.6 Q 891.3 778.2, 891.3 779.3 Q 891.3 780.4, 891.7 781.0 Q 892.2 781.5, 893.1 781.5 Q 893.8 781.5, 894.5 781.2 L 894.7 781.8 Q 894.4 782.0, 894.0 782.1 Q 893.5 782.2, 893.0 782.2 Q 891.8 782.2, 891.1 781.4 Q 890.5 780.7, 890.5 779.3 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-0\" d=\"M 895.5 776.0 L 896.3 776.0 L 896.3 782.1 L 895.5 782.1 L 895.5 776.0 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-7\" d=\"M 931.4 758.9 L 933.2 761.9 Q 933.4 762.2, 933.7 762.7 Q 934.0 763.3, 934.0 763.3 L 934.0 758.9 L 934.8 758.9 L 934.8 764.6 L 934.0 764.6 L 932.0 761.3 Q 931.8 760.9, 931.5 760.4 Q 931.3 760.0, 931.2 759.9 L 931.2 764.6 L 930.5 764.6 L 930.5 758.9 L 931.4 758.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 930.4 765.1 L 931.2 765.1 L 931.2 767.5 L 934.1 767.5 L 934.1 765.1 L 934.8 765.1 L 934.8 770.8 L 934.1 770.8 L 934.1 768.2 L 931.2 768.2 L 931.2 770.8 L 930.4 770.8 L 930.4 765.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-15\" d=\"M 968.0 711.6 L 969.9 714.6 Q 970.1 714.9, 970.4 715.4 Q 970.7 715.9, 970.7 716.0 L 970.7 711.6 L 971.4 711.6 L 971.4 717.2 L 970.6 717.2 L 968.6 714.0 Q 968.4 713.6, 968.2 713.1 Q 967.9 712.7, 967.9 712.6 L 967.9 717.2 L 967.1 717.2 L 967.1 711.6 L 968.0 711.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 894.3,736.0 L 902.1,739.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 902.1,739.0 L 909.9,742.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 895.8,732.3 L 903.6,735.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 903.6,735.3 L 911.4,738.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 910.6,740.2 L 913.7,760.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 923.6,729.7 L 917.1,734.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 917.1,734.9 L 910.6,740.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 913.7,760.0 L 932.4,767.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 918.0,757.3 L 931.1,762.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 944.9,734.8 L 948.0,754.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 966.7,761.8 L 982.3,749.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"atom-0\" d=\"M 889.3 733.0 Q 889.3 731.6, 890.0 730.8 Q 890.7 730.1, 891.9 730.1 Q 893.2 730.1, 893.9 730.8 Q 894.5 731.6, 894.5 733.0 Q 894.5 734.3, 893.9 735.1 Q 893.2 735.9, 891.9 735.9 Q 890.7 735.9, 890.0 735.1 Q 889.3 734.3, 889.3 733.0 M 891.9 735.3 Q 892.8 735.3, 893.3 734.7 Q 893.7 734.1, 893.7 733.0 Q 893.7 731.8, 893.3 731.3 Q 892.8 730.7, 891.9 730.7 Q 891.1 730.7, 890.6 731.3 Q 890.1 731.8, 890.1 733.0 Q 890.1 734.1, 890.6 734.7 Q 891.1 735.3, 891.9 735.3 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-10\" d=\"M 925.0 724.7 L 926.8 727.7 Q 927.0 728.0, 927.3 728.6 Q 927.6 729.1, 927.6 729.1 L 927.6 724.7 L 928.4 724.7 L 928.4 730.4 L 927.6 730.4 L 925.6 727.1 Q 925.4 726.7, 925.1 726.3 Q 924.9 725.9, 924.8 725.7 L 924.8 730.4 L 924.1 730.4 L 924.1 724.7 L 925.0 724.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 924.0 718.5 L 924.8 718.5 L 924.8 720.9 L 927.7 720.9 L 927.7 718.5 L 928.5 718.5 L 928.5 724.2 L 927.7 724.2 L 927.7 721.5 L 924.8 721.5 L 924.8 724.2 L 924.0 724.2 L 924.0 718.5 \" fill=\"#0000FF\"/>\n",
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@@ -3393,49 +3405,39 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1063.2,778.7 L 1063.8,770.3\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1063.8,770.3 L 1064.4,762.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1064.4,762.0 L 1047.7,750.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1064.1,757.0 L 1052.5,749.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-18 atom-6 atom-1\" d=\"M 1082.4,753.2 L 1064.4,762.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1047.7,750.8 L 1049.1,730.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1049.1,730.8 L 1067.1,722.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1053.5,733.1 L 1066.1,726.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1067.1,722.0 L 1083.7,733.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1083.7,733.2 L 1082.4,753.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1079.5,735.9 L 1078.6,749.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-20 atom-18 atom-5\" d=\"M 1103.2,728.3 L 1083.7,733.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1082.4,753.2 L 1090.3,756.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1090.3,756.4 L 1098.3,759.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1103.6,757.5 L 1108.7,751.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1108.7,751.4 L 1113.8,745.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1113.8,745.3 L 1133.9,744.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1116.7,741.1 L 1130.7,740.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-19 atom-18 atom-8\" d=\"M 1103.2,728.3 L 1113.8,745.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1133.9,744.5 L 1144.5,761.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-21 atom-15 atom-9\" d=\"M 1143.2,726.8 L 1133.9,744.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1144.5,761.5 L 1164.6,760.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1147.4,757.4 L 1161.4,756.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1164.6,760.7 L 1169.5,768.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1169.5,768.5 L 1174.3,776.3\" style=\"fill:none;fill-rule:evenodd;stroke:#A01EEF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-11 atom-13\" d=\"M 1164.6,760.7 L 1173.9,743.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 1173.9,743.0 L 1163.3,726.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 1168.9,742.6 L 1161.5,730.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 1163.3,726.0 L 1143.2,726.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 1143.2,726.8 L 1139.0,720.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 1139.0,720.0 L 1134.7,713.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 1138.6,726.9 L 1135.6,722.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 1135.6,722.1 L 1132.6,717.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 1129.9,709.9 L 1121.2,710.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 1121.2,710.2 L 1112.5,710.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 1112.5,710.6 L 1103.2,728.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 1114.7,715.1 L 1108.1,727.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1063.9 781.9 Q 1064.4 782.0, 1064.7 782.4 Q 1065.0 782.7, 1065.0 783.2 Q 1065.0 784.0, 1064.4 784.4 Q 1063.9 784.8, 1063.0 784.8 L 1061.1 784.8 L 1061.1 779.2 L 1062.8 779.2 Q 1063.7 779.2, 1064.2 779.6 Q 1064.7 780.0, 1064.7 780.7 Q 1064.7 781.5, 1063.9 781.9 M 1061.9 779.8 L 1061.9 781.6 L 1062.8 781.6 Q 1063.3 781.6, 1063.6 781.4 Q 1063.9 781.1, 1063.9 780.7 Q 1063.9 779.8, 1062.8 779.8 L 1061.9 779.8 M 1063.0 784.2 Q 1063.6 784.2, 1063.9 783.9 Q 1064.1 783.7, 1064.1 783.2 Q 1064.1 782.7, 1063.8 782.5 Q 1063.5 782.2, 1062.9 782.2 L 1061.9 782.2 L 1061.9 784.2 L 1063.0 784.2 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1066.2 780.7 L 1066.3 781.3 Q 1066.8 780.7, 1067.5 780.7 Q 1067.7 780.7, 1068.0 780.7 L 1067.9 781.4 Q 1067.5 781.3, 1067.3 781.3 Q 1067.0 781.3, 1066.8 781.5 Q 1066.6 781.6, 1066.4 781.9 L 1066.4 784.8 L 1065.6 784.8 L 1065.6 780.7 L 1066.2 780.7 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-7\" d=\"M 1099.7 757.8 L 1101.6 760.8 Q 1101.8 761.1, 1102.1 761.6 Q 1102.4 762.2, 1102.4 762.2 L 1102.4 757.8 L 1103.1 757.8 L 1103.1 763.5 L 1102.4 763.5 L 1100.4 760.2 Q 1100.1 759.8, 1099.9 759.4 Q 1099.6 758.9, 1099.6 758.8 L 1099.6 763.5 L 1098.8 763.5 L 1098.8 757.8 L 1099.7 757.8 \" fill=\"#0000FF\"/>\n",
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-       "<path class=\"atom-12\" d=\"M 1174.8 774.9 L 1175.6 774.9 L 1175.6 780.6 L 1174.8 780.6 L 1174.8 774.9 \" fill=\"#A01EEF\"/>\n",
-       "<path class=\"atom-16\" d=\"M 1131.3 707.0 L 1133.2 710.0 Q 1133.4 710.3, 1133.7 710.8 Q 1134.0 711.4, 1134.0 711.4 L 1134.0 707.0 L 1134.7 707.0 L 1134.7 712.7 L 1134.0 712.7 L 1132.0 709.4 Q 1131.7 709.0, 1131.5 708.5 Q 1131.2 708.1, 1131.2 708.0 L 1131.2 712.7 L 1130.4 712.7 L 1130.4 707.0 L 1131.3 707.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1058.9,750.5 L 1067.2,748.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1067.2,748.0 L 1075.4,745.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1139.0,758.3 L 1125.6,762.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1109.2,753.4 L 1101.0,755.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1101.0,755.9 L 1092.7,758.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1105.6,750.3 L 1099.8,752.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1099.8,752.1 L 1094.0,753.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1046.2 748.4 L 1047.0 748.4 L 1047.0 750.9 L 1049.9 750.9 L 1049.9 748.4 L 1050.6 748.4 L 1050.6 754.1 L 1049.9 754.1 L 1049.9 751.5 L 1047.0 751.5 L 1047.0 754.1 L 1046.2 754.1 L 1046.2 748.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1050.9 753.9 Q 1051.1 753.6, 1051.4 753.4 Q 1051.7 753.2, 1052.2 753.2 Q 1052.7 753.2, 1053.0 753.5 Q 1053.4 753.8, 1053.4 754.3 Q 1053.4 754.9, 1053.0 755.4 Q 1052.5 755.9, 1051.7 756.5 L 1053.4 756.5 L 1053.4 757.0 L 1050.9 757.0 L 1050.9 756.6 Q 1051.6 756.1, 1052.0 755.7 Q 1052.4 755.4, 1052.6 755.0 Q 1052.8 754.7, 1052.8 754.4 Q 1052.8 754.0, 1052.7 753.8 Q 1052.5 753.6, 1052.2 753.6 Q 1051.9 753.6, 1051.7 753.7 Q 1051.5 753.8, 1051.3 754.1 L 1050.9 753.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1055.0 748.4 L 1056.9 751.5 Q 1057.0 751.8, 1057.3 752.3 Q 1057.6 752.8, 1057.6 752.9 L 1057.6 748.4 L 1058.4 748.4 L 1058.4 754.1 L 1057.6 754.1 L 1055.6 750.8 Q 1055.4 750.5, 1055.1 750.0 Q 1054.9 749.6, 1054.8 749.4 L 1054.8 754.1 L 1054.1 754.1 L 1054.1 748.4 L 1055.0 748.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 1078.7 723.1 L 1080.6 726.1 Q 1080.8 726.4, 1081.1 727.0 Q 1081.4 727.5, 1081.4 727.5 L 1081.4 723.1 L 1082.2 723.1 L 1082.2 728.8 L 1081.4 728.8 L 1079.4 725.5 Q 1079.2 725.1, 1078.9 724.7 Q 1078.7 724.2, 1078.6 724.1 L 1078.6 728.8 L 1077.9 728.8 L 1077.9 723.1 L 1078.7 723.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 1164.6 736.2 Q 1164.6 734.8, 1165.3 734.0 Q 1165.9 733.3, 1167.2 733.3 Q 1168.4 733.3, 1169.0 734.1 L 1168.5 734.5 Q 1168.0 733.9, 1167.2 733.9 Q 1166.3 733.9, 1165.9 734.5 Q 1165.4 735.1, 1165.4 736.2 Q 1165.4 737.3, 1165.9 737.9 Q 1166.4 738.4, 1167.3 738.4 Q 1167.9 738.4, 1168.7 738.1 L 1168.9 738.7 Q 1168.6 738.9, 1168.1 739.0 Q 1167.7 739.1, 1167.2 739.1 Q 1165.9 739.1, 1165.3 738.3 Q 1164.6 737.6, 1164.6 736.2 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-7\" d=\"M 1169.7 732.9 L 1170.4 732.9 L 1170.4 739.0 L 1169.7 739.0 L 1169.7 732.9 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-11\" d=\"M 1088.8 756.4 L 1090.7 759.4 Q 1090.9 759.7, 1091.1 760.2 Q 1091.4 760.7, 1091.5 760.8 L 1091.5 756.4 L 1092.2 756.4 L 1092.2 762.0 L 1091.4 762.0 L 1089.4 758.7 Q 1089.2 758.4, 1089.0 757.9 Q 1088.7 757.5, 1088.6 757.3 L 1088.6 762.0 L 1087.9 762.0 L 1087.9 756.4 L 1088.8 756.4 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1067.5 839.4 L 1070.0 839.4 L 1070.0 831.0 L 1067.3 831.8 L 1066.9 830.9 L 1070.4 829.3 L 1071.5 829.5 L 1071.5 839.4 L 1073.7 839.4 L 1073.7 840.7 L 1067.5 840.7 L 1067.5 839.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 828.3 L 1080.5 828.3 L 1080.5 843.8 L 1079.1 843.8 L 1079.1 828.3 \" fill=\"#000000\"/>\n",
@@ -3451,44 +3453,27 @@
        "<path d=\"M 1128.0 829.4 Q 1129.9 829.4, 1130.9 830.3 Q 1131.9 831.1, 1131.9 832.7 Q 1131.9 834.3, 1130.9 835.2 Q 1129.9 836.1, 1128.0 836.1 L 1126.2 836.1 L 1126.2 840.7 L 1124.6 840.7 L 1124.6 829.4 L 1128.0 829.4 M 1128.0 834.8 Q 1129.1 834.8, 1129.7 834.3 Q 1130.3 833.7, 1130.3 832.7 Q 1130.3 831.7, 1129.7 831.2 Q 1129.1 830.7, 1128.0 830.7 L 1126.2 830.7 L 1126.2 834.8 L 1128.0 834.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.4 828.6 L 1133.5 828.6 L 1133.5 832.0 L 1132.4 832.0 L 1132.4 828.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.2 828.3 L 1137.2 843.8 L 1133.8 843.8 L 1133.8 842.7 L 1135.9 842.7 L 1135.9 829.5 L 1133.8 829.5 L 1133.8 828.3 L 1137.2 828.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 15.4,910.1 L 21.2,915.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 21.2,915.5 L 27.1,920.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 33.3,922.7 L 41.3,920.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 41.3,920.2 L 49.3,917.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 49.3,917.7 L 53.7,898.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 53.9,915.6 L 56.9,901.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-7 atom-2\" d=\"M 64.1,931.2 L 49.3,917.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 53.7,898.1 L 72.8,892.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 72.8,892.1 L 87.6,905.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 72.3,897.1 L 82.6,906.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 87.6,905.6 L 83.2,925.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-15 atom-5\" d=\"M 107.5,903.7 L 87.6,905.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 83.2,925.2 L 64.1,931.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 79.1,922.3 L 65.7,926.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 83.2,925.2 L 90.5,929.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 90.5,929.5 L 97.8,933.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 103.1,933.1 L 109.3,927.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 109.3,927.6 L 115.5,922.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 115.5,922.1 L 135.4,924.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 118.9,918.5 L 132.9,920.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-15 atom-9\" d=\"M 107.5,903.7 L 115.5,922.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 135.4,924.4 L 138.7,932.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 138.7,932.0 L 142.0,939.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 135.4,924.4 L 140.1,918.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 140.1,918.0 L 144.9,911.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 145.9,905.0 L 142.6,897.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 142.6,897.5 L 139.4,889.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 141.2,904.3 L 139.0,899.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 139.0,899.1 L 136.7,893.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 139.4,889.9 L 119.5,887.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 119.5,887.6 L 107.5,903.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 120.9,892.4 L 112.5,903.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 27.6 923.7 Q 27.6 922.3, 28.2 921.5 Q 28.9 920.8, 30.2 920.8 Q 31.4 920.8, 32.1 921.5 Q 32.8 922.3, 32.8 923.7 Q 32.8 925.1, 32.1 925.8 Q 31.4 926.6, 30.2 926.6 Q 28.9 926.6, 28.2 925.8 Q 27.6 925.1, 27.6 923.7 M 30.2 926.0 Q 31.0 926.0, 31.5 925.4 Q 32.0 924.8, 32.0 923.7 Q 32.0 922.6, 31.5 922.0 Q 31.0 921.4, 30.2 921.4 Q 29.3 921.4, 28.8 922.0 Q 28.4 922.6, 28.4 923.7 Q 28.4 924.8, 28.8 925.4 Q 29.3 926.0, 30.2 926.0 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-8\" d=\"M 99.2 932.6 L 101.1 935.6 Q 101.2 935.9, 101.5 936.4 Q 101.8 936.9, 101.9 937.0 L 101.9 932.6 L 102.6 932.6 L 102.6 938.2 L 101.8 938.2 L 99.8 935.0 Q 99.6 934.6, 99.4 934.1 Q 99.1 933.7, 99.0 933.5 L 99.0 938.2 L 98.3 938.2 L 98.3 932.6 L 99.2 932.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 98.2 938.8 L 99.0 938.8 L 99.0 941.2 L 101.9 941.2 L 101.9 938.8 L 102.7 938.8 L 102.7 944.5 L 101.9 944.5 L 101.9 941.9 L 99.0 941.9 L 99.0 944.5 L 98.2 944.5 L 98.2 938.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 141.2 943.0 Q 141.2 941.6, 141.8 940.9 Q 142.5 940.1, 143.8 940.1 Q 144.9 940.1, 145.6 940.9 L 145.0 941.4 Q 144.6 940.8, 143.8 940.8 Q 142.9 940.8, 142.5 941.4 Q 142.0 941.9, 142.0 943.0 Q 142.0 944.1, 142.5 944.7 Q 142.9 945.3, 143.9 945.3 Q 144.5 945.3, 145.2 944.9 L 145.4 945.5 Q 145.1 945.7, 144.7 945.8 Q 144.2 945.9, 143.7 945.9 Q 142.5 945.9, 141.8 945.2 Q 141.2 944.4, 141.2 943.0 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-11\" d=\"M 146.3 939.8 L 147.0 939.8 L 147.0 945.9 L 146.3 945.9 L 146.3 939.8 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-12\" d=\"M 146.1 905.5 L 147.9 908.5 Q 148.1 908.8, 148.4 909.3 Q 148.7 909.9, 148.7 909.9 L 148.7 905.5 L 149.5 905.5 L 149.5 911.2 L 148.7 911.2 L 146.7 907.9 Q 146.5 907.5, 146.2 907.1 Q 146.0 906.6, 145.9 906.5 L 145.9 911.2 L 145.2 911.2 L 145.2 905.5 L 146.1 905.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 41.9,902.9 L 60.6,910.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 60.6,910.2 L 63.7,930.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 65.1,912.5 L 67.2,926.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 76.2,897.6 L 60.6,910.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 63.7,930.0 L 82.4,937.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 82.4,937.2 L 98.0,924.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 82.3,932.2 L 93.2,923.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 98.0,924.6 L 106.1,927.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 106.1,927.7 L 114.1,930.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 94.9,904.8 L 98.0,924.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 119.4,929.7 L 125.9,924.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 125.9,924.5 L 132.3,919.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 118.8,925.0 L 123.4,921.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 123.4,921.3 L 127.9,917.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 132.3,919.2 L 129.2,899.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 129.2,899.4 L 110.5,892.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 125.0,902.1 L 111.9,897.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 110.5,892.2 L 94.9,904.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 94.9,904.8 L 76.2,897.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 90.7,907.5 L 77.6,902.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-5\" d=\"M 115.5 929.0 L 117.3 932.0 Q 117.5 932.3, 117.8 932.8 Q 118.1 933.4, 118.1 933.4 L 118.1 929.0 L 118.9 929.0 L 118.9 934.7 L 118.1 934.7 L 116.1 931.4 Q 115.9 931.0, 115.6 930.5 Q 115.4 930.1, 115.3 930.0 L 115.3 934.7 L 114.6 934.7 L 114.6 929.0 L 115.5 929.0 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 1009.4 L 50.0 1009.4 L 50.0 1001.0 L 47.3 1001.8 L 46.9 1000.9 L 50.4 999.3 L 51.5 999.5 L 51.5 1009.4 L 53.7 1009.4 L 53.7 1010.7 L 47.5 1010.7 L 47.5 1009.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 998.3 L 60.5 998.3 L 60.5 1013.8 L 59.1 1013.8 L 59.1 998.3 \" fill=\"#000000\"/>\n",
@@ -3504,52 +3489,33 @@
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        "<path d=\"M 112.4 998.6 L 113.5 998.6 L 113.5 1002.0 L 112.4 1002.0 L 112.4 998.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 998.3 L 117.2 1013.8 L 113.8 1013.8 L 113.8 1012.7 L 115.9 1012.7 L 115.9 999.5 L 113.8 999.5 L 113.8 998.3 L 117.2 998.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 265.7,876.5 L 262.8,884.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 262.8,884.2 L 260.0,891.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 269.4,877.9 L 266.6,885.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 266.6,885.6 L 263.7,893.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 261.8,892.5 L 242.1,895.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-20 atom-20 atom-1\" d=\"M 271.9,904.8 L 266.9,898.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-20 atom-20 atom-1\" d=\"M 266.9,898.6 L 261.8,892.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 242.1,895.8 L 229.3,880.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 237.1,896.1 L 228.1,885.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-21 atom-11 atom-2\" d=\"M 235.1,914.6 L 242.1,895.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 229.3,880.4 L 209.5,883.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 209.5,883.7 L 202.5,902.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 212.2,887.9 L 207.3,901.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 202.5,902.5 L 215.3,917.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 215.3,917.9 L 208.3,936.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 218.0,922.2 L 213.1,935.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-23 atom-11 atom-6\" d=\"M 235.1,914.6 L 215.3,917.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 208.3,936.7 L 221.0,952.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 221.0,952.2 L 240.8,948.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 223.3,947.7 L 237.2,945.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 240.8,948.9 L 247.8,930.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 247.8,930.1 L 235.1,914.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 249.0,925.2 L 240.1,914.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 247.8,930.1 L 267.6,926.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 267.6,926.8 L 274.1,931.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 274.1,931.9 L 280.6,937.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 272.0,925.2 L 276.6,928.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 276.6,928.8 L 281.2,932.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-22 atom-20 atom-12\" d=\"M 273.4,911.3 L 270.5,919.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-22 atom-20 atom-12\" d=\"M 270.5,919.0 L 267.6,926.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 285.9,937.5 L 293.0,932.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 293.0,932.8 L 300.0,928.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 300.0,928.2 L 319.4,933.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 303.9,925.0 L 317.5,928.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-24 atom-19 atom-14\" d=\"M 294.6,908.9 L 300.0,928.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 319.4,933.2 L 333.5,918.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 333.5,918.9 L 328.1,899.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 328.8,917.1 L 325.0,903.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 328.1,899.6 L 308.7,894.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-18 atom-18 atom-19\" d=\"M 308.7,894.5 L 294.6,908.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-18 atom-18 atom-19\" d=\"M 309.4,899.5 L 299.6,909.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-19 atom-19 atom-20\" d=\"M 294.6,908.9 L 285.9,908.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-19 atom-19 atom-20\" d=\"M 285.9,908.5 L 277.3,908.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 266.3 873.8 Q 266.3 872.4, 266.9 871.6 Q 267.6 870.9, 268.9 870.9 Q 270.1 870.9, 270.8 871.6 Q 271.5 872.4, 271.5 873.8 Q 271.5 875.1, 270.8 875.9 Q 270.1 876.7, 268.9 876.7 Q 267.6 876.7, 266.9 875.9 Q 266.3 875.1, 266.3 873.8 M 268.9 876.1 Q 269.7 876.1, 270.2 875.5 Q 270.7 874.9, 270.7 873.8 Q 270.7 872.6, 270.2 872.1 Q 269.7 871.5, 268.9 871.5 Q 268.0 871.5, 267.5 872.1 Q 267.1 872.6, 267.1 873.8 Q 267.1 874.9, 267.5 875.5 Q 268.0 876.1, 268.9 876.1 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-13\" d=\"M 282.0 936.4 L 283.9 939.4 Q 284.1 939.7, 284.4 940.2 Q 284.7 940.8, 284.7 940.8 L 284.7 936.4 L 285.4 936.4 L 285.4 942.1 L 284.7 942.1 L 282.7 938.8 Q 282.4 938.4, 282.2 938.0 Q 281.9 937.5, 281.9 937.4 L 281.9 942.1 L 281.1 942.1 L 281.1 936.4 L 282.0 936.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-20\" d=\"M 273.3 905.1 L 275.2 908.2 Q 275.4 908.5, 275.7 909.0 Q 276.0 909.5, 276.0 909.6 L 276.0 905.1 L 276.8 905.1 L 276.8 910.8 L 276.0 910.8 L 274.0 907.5 Q 273.7 907.2, 273.5 906.7 Q 273.3 906.3, 273.2 906.1 L 273.2 910.8 L 272.5 910.8 L 272.5 905.1 L 273.3 905.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 304.8,922.6 L 296.7,919.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 296.7,919.7 L 288.6,916.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 288.6,916.8 L 273.3,929.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 283.7,915.7 L 273.0,924.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 285.5,900.4 L 287.0,908.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 287.0,908.6 L 288.6,916.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 273.3,929.8 L 254.4,923.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 254.4,923.1 L 246.9,927.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 246.9,927.2 L 239.4,931.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-7 atom-3\" d=\"M 250.8,903.4 L 254.4,923.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-7 atom-3\" d=\"M 255.3,905.6 L 257.8,919.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 234.1,930.1 L 228.2,924.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 228.2,924.5 L 222.2,918.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 222.2,918.8 L 230.9,900.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 227.2,917.9 L 233.2,905.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 230.9,900.7 L 250.8,903.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 250.8,903.4 L 266.0,890.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 266.0,890.4 L 274.1,893.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 274.1,893.3 L 282.3,896.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 272.8,897.0 L 278.5,899.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"atom-9\" d=\"M 283.7 894.2 L 285.5 897.3 Q 285.7 897.5, 286.0 898.1 Q 286.3 898.6, 286.3 898.7 L 286.3 894.2 L 287.1 894.2 L 287.1 899.9 L 286.3 899.9 L 284.3 896.6 Q 284.1 896.2, 283.8 895.8 Q 283.6 895.4, 283.5 895.2 L 283.5 899.9 L 282.8 899.9 L 282.8 894.2 L 283.7 894.2 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 217.5 1009.4 L 220.0 1009.4 L 220.0 1001.0 L 217.3 1001.8 L 216.9 1000.9 L 220.4 999.3 L 221.5 999.5 L 221.5 1009.4 L 223.7 1009.4 L 223.7 1010.7 L 217.5 1010.7 L 217.5 1009.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 229.1 998.3 L 230.5 998.3 L 230.5 1013.8 L 229.1 1013.8 L 229.1 998.3 \" fill=\"#000000\"/>\n",
@@ -3565,31 +3531,39 @@
        "<path d=\"M 278.0 999.4 Q 279.9 999.4, 280.9 1000.3 Q 281.9 1001.1, 281.9 1002.7 Q 281.9 1004.3, 280.9 1005.2 Q 279.9 1006.1, 278.0 1006.1 L 276.2 1006.1 L 276.2 1010.7 L 274.6 1010.7 L 274.6 999.4 L 278.0 999.4 M 278.0 1004.8 Q 279.1 1004.8, 279.7 1004.3 Q 280.3 1003.7, 280.3 1002.7 Q 280.3 1001.7, 279.7 1001.2 Q 279.1 1000.7, 278.0 1000.7 L 276.2 1000.7 L 276.2 1004.8 L 278.0 1004.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 282.4 998.6 L 283.5 998.6 L 283.5 1002.0 L 282.4 1002.0 L 282.4 998.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 287.2 998.3 L 287.2 1013.8 L 283.8 1013.8 L 283.8 1012.7 L 285.9 1012.7 L 285.9 999.5 L 283.8 999.5 L 283.8 998.3 L 287.2 998.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 379.0,894.7 L 381.7,902.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 381.7,902.5 L 384.4,910.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 388.7,914.2 L 397.0,915.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 397.0,915.8 L 405.3,917.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 405.3,917.4 L 411.8,936.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 410.1,918.9 L 414.7,932.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-2\" d=\"M 418.4,902.3 L 405.3,917.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 411.8,936.4 L 431.5,940.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 431.5,940.1 L 444.7,925.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 430.5,935.3 L 439.7,924.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 444.7,925.0 L 464.3,928.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 438.1,906.1 L 444.7,925.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 464.3,928.8 L 477.5,913.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 463.3,923.9 L 472.5,913.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 477.5,913.6 L 470.9,894.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 470.9,894.7 L 462.4,893.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 462.4,893.0 L 453.9,891.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 467.6,898.1 L 461.6,897.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 461.6,897.0 L 455.7,895.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 448.6,894.0 L 443.3,900.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 443.3,900.0 L 438.1,906.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 438.1,906.1 L 418.4,902.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 434.4,909.4 L 420.6,906.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 383.0 913.6 Q 383.0 912.3, 383.7 911.5 Q 384.3 910.8, 385.6 910.8 Q 386.9 910.8, 387.5 911.5 Q 388.2 912.3, 388.2 913.6 Q 388.2 915.0, 387.5 915.8 Q 386.8 916.6, 385.6 916.6 Q 384.3 916.6, 383.7 915.8 Q 383.0 915.0, 383.0 913.6 M 385.6 915.9 Q 386.5 915.9, 386.9 915.4 Q 387.4 914.8, 387.4 913.6 Q 387.4 912.5, 386.9 912.0 Q 386.5 911.4, 385.6 911.4 Q 384.7 911.4, 384.3 912.0 Q 383.8 912.5, 383.8 913.6 Q 383.8 914.8, 384.3 915.4 Q 384.7 915.9, 385.6 915.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-9\" d=\"M 450.0 888.1 L 451.8 891.1 Q 452.0 891.4, 452.3 891.9 Q 452.6 892.4, 452.6 892.5 L 452.6 888.1 L 453.4 888.1 L 453.4 893.7 L 452.6 893.7 L 450.6 890.4 Q 450.4 890.1, 450.1 889.6 Q 449.9 889.2, 449.8 889.0 L 449.8 893.7 L 449.1 893.7 L 449.1 888.1 L 450.0 888.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 479.9,921.8 L 474.4,915.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 474.4,915.9 L 468.8,910.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 470.8,910.6 L 473.1,902.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 473.1,902.7 L 475.5,894.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 466.9,909.5 L 469.3,901.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 469.3,901.6 L 471.7,893.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-1 atom-3\" d=\"M 468.8,910.0 L 449.3,914.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 449.3,914.6 L 443.5,933.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 444.6,916.3 L 440.6,929.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-3\" d=\"M 435.6,900.0 L 449.3,914.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 443.5,933.8 L 424.0,938.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 424.0,938.4 L 410.3,923.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 424.9,933.5 L 415.3,923.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 410.3,923.8 L 401.6,924.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 401.6,924.0 L 392.9,924.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-6\" d=\"M 416.1,904.6 L 410.3,923.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 389.1,920.9 L 386.4,913.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 386.4,913.1 L 383.6,905.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 392.1,917.2 L 390.2,911.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 390.2,911.8 L 388.2,906.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 383.6,905.3 L 390.3,900.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 390.3,900.3 L 396.9,895.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 402.3,895.0 L 409.2,899.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 409.2,899.8 L 416.1,904.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 416.1,904.6 L 435.6,900.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 419.9,907.8 L 433.6,904.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 481.3 921.8 L 483.2 924.8 Q 483.4 925.1, 483.7 925.6 Q 484.0 926.2, 484.0 926.2 L 484.0 921.8 L 484.7 921.8 L 484.7 927.5 L 483.9 927.5 L 482.0 924.2 Q 481.7 923.8, 481.5 923.4 Q 481.2 922.9, 481.2 922.8 L 481.2 927.5 L 480.4 927.5 L 480.4 921.8 L 481.3 921.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 485.4 921.8 L 486.2 921.8 L 486.2 924.2 L 489.1 924.2 L 489.1 921.8 L 489.9 921.8 L 489.9 927.5 L 489.1 927.5 L 489.1 924.8 L 486.2 924.8 L 486.2 927.5 L 485.4 927.5 L 485.4 921.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 490.1 927.3 Q 490.3 926.9, 490.6 926.7 Q 490.9 926.5, 491.4 926.5 Q 491.9 926.5, 492.3 926.8 Q 492.6 927.1, 492.6 927.7 Q 492.6 928.2, 492.2 928.8 Q 491.8 929.3, 490.9 929.9 L 492.6 929.9 L 492.6 930.3 L 490.1 930.3 L 490.1 930.0 Q 490.8 929.5, 491.2 929.1 Q 491.6 928.7, 491.8 928.4 Q 492.0 928.1, 492.0 927.7 Q 492.0 927.3, 491.9 927.1 Q 491.7 926.9, 491.4 926.9 Q 491.1 926.9, 490.9 927.1 Q 490.7 927.2, 490.5 927.5 L 490.1 927.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 472.0 890.8 Q 472.0 889.5, 472.7 888.7 Q 473.4 888.0, 474.6 888.0 Q 475.9 888.0, 476.6 888.7 Q 477.2 889.5, 477.2 890.8 Q 477.2 892.2, 476.5 893.0 Q 475.9 893.8, 474.6 893.8 Q 473.4 893.8, 472.7 893.0 Q 472.0 892.2, 472.0 890.8 M 474.6 893.2 Q 475.5 893.2, 475.9 892.6 Q 476.4 892.0, 476.4 890.8 Q 476.4 889.7, 475.9 889.2 Q 475.5 888.6, 474.6 888.6 Q 473.8 888.6, 473.3 889.2 Q 472.8 889.7, 472.8 890.8 Q 472.8 892.0, 473.3 892.6 Q 473.8 893.2, 474.6 893.2 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-7\" d=\"M 389.0 921.4 L 390.9 924.4 Q 391.0 924.7, 391.3 925.2 Q 391.6 925.8, 391.7 925.8 L 391.7 921.4 L 392.4 921.4 L 392.4 927.1 L 391.6 927.1 L 389.6 923.8 Q 389.4 923.4, 389.1 923.0 Q 388.9 922.5, 388.8 922.4 L 388.8 927.1 L 388.1 927.1 L 388.1 921.4 L 389.0 921.4 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"atom-9\" d=\"M 397.4 884.1 L 398.2 884.1 L 398.2 886.5 L 401.1 886.5 L 401.1 884.1 L 401.8 884.1 L 401.8 889.8 L 401.1 889.8 L 401.1 887.2 L 398.2 887.2 L 398.2 889.8 L 397.4 889.8 L 397.4 884.1 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 387.5 1009.4 L 390.0 1009.4 L 390.0 1001.0 L 387.3 1001.8 L 386.9 1000.9 L 390.4 999.3 L 391.5 999.5 L 391.5 1009.4 L 393.7 1009.4 L 393.7 1010.7 L 387.5 1010.7 L 387.5 1009.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 399.1 998.3 L 400.5 998.3 L 400.5 1013.8 L 399.1 1013.8 L 399.1 998.3 \" fill=\"#000000\"/>\n",
@@ -3605,44 +3579,30 @@
        "<path d=\"M 448.0 999.4 Q 449.9 999.4, 450.9 1000.3 Q 451.9 1001.1, 451.9 1002.7 Q 451.9 1004.3, 450.9 1005.2 Q 449.9 1006.1, 448.0 1006.1 L 446.2 1006.1 L 446.2 1010.7 L 444.6 1010.7 L 444.6 999.4 L 448.0 999.4 M 448.0 1004.8 Q 449.1 1004.8, 449.7 1004.3 Q 450.3 1003.7, 450.3 1002.7 Q 450.3 1001.7, 449.7 1001.2 Q 449.1 1000.7, 448.0 1000.7 L 446.2 1000.7 L 446.2 1004.8 L 448.0 1004.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 452.4 998.6 L 453.5 998.6 L 453.5 1002.0 L 452.4 1002.0 L 452.4 998.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 457.2 998.3 L 457.2 1013.8 L 453.8 1013.8 L 453.8 1012.7 L 455.9 1012.7 L 455.9 999.5 L 453.8 999.5 L 453.8 998.3 L 457.2 998.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 669.3,911.5 L 652.2,922.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 652.2,922.0 L 644.7,917.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 644.7,917.9 L 637.2,913.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 634.1,909.1 L 633.0,900.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 633.0,900.8 L 631.9,892.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-10 atom-2\" d=\"M 616.5,921.1 L 624.2,917.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-10 atom-2\" d=\"M 624.2,917.4 L 631.9,913.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 631.9,892.6 L 612.2,888.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 628.3,895.9 L 614.5,893.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 612.2,888.9 L 602.7,906.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 602.7,906.5 L 583.2,911.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 600.7,911.1 L 587.0,914.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-10 atom-5\" d=\"M 616.5,921.1 L 602.7,906.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 583.2,911.2 L 577.5,930.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-13 atom-6\" d=\"M 569.3,901.7 L 576.2,906.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-13 atom-6\" d=\"M 576.2,906.4 L 583.2,911.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 577.5,930.4 L 591.3,945.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 582.5,929.8 L 592.1,940.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-7 atom-11\" d=\"M 577.5,930.4 L 568.8,930.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-7 atom-11\" d=\"M 568.8,930.6 L 560.1,930.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 591.3,945.0 L 599.7,942.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 599.7,942.9 L 608.1,940.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 611.8,936.9 L 614.1,929.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 614.1,929.0 L 616.5,921.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 608.6,933.4 L 610.3,927.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 610.3,927.9 L 611.9,922.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 556.3,927.6 L 553.5,919.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 553.5,919.8 L 550.7,912.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 559.2,923.9 L 557.3,918.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 557.3,918.5 L 555.4,913.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 550.7,912.0 L 557.4,907.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 557.4,907.0 L 564.0,901.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 566.6,896.5 L 566.3,888.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 566.3,888.1 L 566.1,879.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-2\" d=\"M 633.3 909.6 L 635.2 912.6 Q 635.4 912.9, 635.6 913.4 Q 635.9 914.0, 636.0 914.0 L 636.0 909.6 L 636.7 909.6 L 636.7 915.3 L 635.9 915.3 L 633.9 912.0 Q 633.7 911.6, 633.5 911.2 Q 633.2 910.7, 633.1 910.6 L 633.1 915.3 L 632.4 915.3 L 632.4 909.6 L 633.3 909.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 609.5 937.4 L 611.4 940.4 Q 611.6 940.7, 611.9 941.3 Q 612.2 941.8, 612.2 941.9 L 612.2 937.4 L 612.9 937.4 L 612.9 943.1 L 612.1 943.1 L 610.2 939.8 Q 609.9 939.4, 609.7 939.0 Q 609.4 938.6, 609.4 938.4 L 609.4 943.1 L 608.6 943.1 L 608.6 937.4 L 609.5 937.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 556.2 928.1 L 558.0 931.1 Q 558.2 931.4, 558.5 931.9 Q 558.8 932.5, 558.8 932.5 L 558.8 928.1 L 559.6 928.1 L 559.6 933.8 L 558.8 933.8 L 556.8 930.5 Q 556.6 930.1, 556.3 929.7 Q 556.1 929.2, 556.0 929.1 L 556.0 933.8 L 555.3 933.8 L 555.3 928.1 L 556.2 928.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-13\" d=\"M 565.4 897.0 L 567.3 900.0 Q 567.4 900.3, 567.7 900.8 Q 568.0 901.4, 568.1 901.4 L 568.1 897.0 L 568.8 897.0 L 568.8 902.7 L 568.0 902.7 L 566.0 899.4 Q 565.8 899.0, 565.5 898.6 Q 565.3 898.1, 565.2 898.0 L 565.2 902.7 L 564.5 902.7 L 564.5 897.0 L 565.4 897.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 566.8,923.7 L 566.8,903.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 570.8,920.6 L 570.8,906.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-0\" d=\"M 584.2,933.7 L 566.8,923.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 566.8,903.6 L 584.2,893.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 584.2,893.6 L 601.5,903.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 584.8,898.6 L 596.9,905.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 601.5,903.6 L 608.9,899.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 608.9,899.4 L 616.2,895.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-8 atom-3\" d=\"M 601.5,923.7 L 601.5,903.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 621.5,895.1 L 628.9,899.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 628.9,899.4 L 636.3,903.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 621.7,899.9 L 626.9,902.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 626.9,902.8 L 632.0,905.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 636.3,903.6 L 636.3,923.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 636.3,923.7 L 628.9,927.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 628.9,927.9 L 621.5,932.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 632.0,921.5 L 626.9,924.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 626.9,924.4 L 621.7,927.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 616.2,932.1 L 608.9,927.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 608.9,927.9 L 601.5,923.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 601.5,923.7 L 584.2,933.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 596.9,921.7 L 584.8,928.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-4\" d=\"M 617.6 890.7 L 619.5 893.7 Q 619.7 894.0, 620.0 894.6 Q 620.3 895.1, 620.3 895.2 L 620.3 890.7 L 621.0 890.7 L 621.0 896.4 L 620.3 896.4 L 618.3 893.1 Q 618.0 892.7, 617.8 892.3 Q 617.6 891.9, 617.5 891.7 L 617.5 896.4 L 616.7 896.4 L 616.7 890.7 L 617.6 890.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 617.6 930.8 L 619.5 933.8 Q 619.7 934.1, 620.0 934.7 Q 620.3 935.2, 620.3 935.2 L 620.3 930.8 L 621.0 930.8 L 621.0 936.5 L 620.3 936.5 L 618.3 933.2 Q 618.0 932.8, 617.8 932.4 Q 617.6 932.0, 617.5 931.8 L 617.5 936.5 L 616.7 936.5 L 616.7 930.8 L 617.6 930.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 557.5 1009.4 L 560.0 1009.4 L 560.0 1001.0 L 557.3 1001.8 L 556.9 1000.9 L 560.4 999.3 L 561.5 999.5 L 561.5 1009.4 L 563.7 1009.4 L 563.7 1010.7 L 557.5 1010.7 L 557.5 1009.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 569.1 998.3 L 570.5 998.3 L 570.5 1013.8 L 569.1 1013.8 L 569.1 998.3 \" fill=\"#000000\"/>\n",
@@ -3658,8 +3618,8 @@
        "<path d=\"M 618.0 999.4 Q 619.9 999.4, 620.9 1000.3 Q 621.9 1001.1, 621.9 1002.7 Q 621.9 1004.3, 620.9 1005.2 Q 619.9 1006.1, 618.0 1006.1 L 616.2 1006.1 L 616.2 1010.7 L 614.6 1010.7 L 614.6 999.4 L 618.0 999.4 M 618.0 1004.8 Q 619.1 1004.8, 619.7 1004.3 Q 620.3 1003.7, 620.3 1002.7 Q 620.3 1001.7, 619.7 1001.2 Q 619.1 1000.7, 618.0 1000.7 L 616.2 1000.7 L 616.2 1004.8 L 618.0 1004.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 622.4 998.6 L 623.5 998.6 L 623.5 1002.0 L 622.4 1002.0 L 622.4 998.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 627.2 998.3 L 627.2 1013.8 L 623.8 1013.8 L 623.8 1012.7 L 625.9 1012.7 L 625.9 999.5 L 623.8 999.5 L 623.8 998.3 L 627.2 998.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 792.2,885.7 L 789.9,893.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 789.9,893.6 L 787.6,901.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 792.2,885.8 L 789.9,893.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 789.9,893.7 L 787.6,901.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-1 atom-1 atom-2\" d=\"M 787.6,901.6 L 801.5,916.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-1 atom-1 atom-2\" d=\"M 786.8,906.5 L 796.5,916.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-9 atom-9 atom-1\" d=\"M 768.2,906.4 L 787.6,901.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
@@ -3679,9 +3639,8 @@
        "<path class=\"bond-7 atom-7 atom-8\" d=\"M 735.7,907.5 L 751.6,895.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-7 atom-7 atom-8\" d=\"M 740.6,908.8 L 751.6,900.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-8 atom-8 atom-9\" d=\"M 751.6,895.1 L 768.2,906.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 791.9 879.5 L 793.8 882.5 Q 794.0 882.8, 794.3 883.3 Q 794.6 883.9, 794.6 883.9 L 794.6 879.5 L 795.3 879.5 L 795.3 885.2 L 794.6 885.2 L 792.6 881.9 Q 792.3 881.5, 792.1 881.0 Q 791.8 880.6, 791.8 880.5 L 791.8 885.2 L 791.0 885.2 L 791.0 879.5 L 791.9 879.5 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"atom-0\" d=\"M 790.6 882.3 Q 790.6 881.0, 791.2 880.2 Q 791.9 879.5, 793.2 879.5 Q 794.4 879.5, 795.1 880.2 Q 795.8 881.0, 795.8 882.3 Q 795.8 883.7, 795.1 884.5 Q 794.4 885.3, 793.2 885.3 Q 791.9 885.3, 791.2 884.5 Q 790.6 883.7, 790.6 882.3 M 793.2 884.6 Q 794.0 884.6, 794.5 884.1 Q 795.0 883.5, 795.0 882.3 Q 795.0 881.2, 794.5 880.7 Q 794.0 880.1, 793.2 880.1 Q 792.3 880.1, 791.8 880.7 Q 791.4 881.2, 791.4 882.3 Q 791.4 883.5, 791.8 884.1 Q 792.3 884.6, 793.2 884.6 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-0\" d=\"M 796.5 879.5 L 797.2 879.5 L 797.2 881.9 L 800.1 881.9 L 800.1 879.5 L 800.9 879.5 L 800.9 885.2 L 800.1 885.2 L 800.1 882.6 L 797.2 882.6 L 797.2 885.2 L 796.5 885.2 L 796.5 879.5 \" fill=\"#FF0000\"/>\n",
        "<path class=\"atom-4\" d=\"M 775.2 937.3 L 777.1 940.3 Q 777.3 940.6, 777.6 941.1 Q 777.9 941.6, 777.9 941.7 L 777.9 937.3 L 778.6 937.3 L 778.6 942.9 L 777.9 942.9 L 775.9 939.7 Q 775.6 939.3, 775.4 938.8 Q 775.1 938.4, 775.1 938.2 L 775.1 942.9 L 774.3 942.9 L 774.3 937.3 L 775.2 937.3 \" fill=\"#0000FF\"/>\n",
        "<path class=\"atom-6\" d=\"M 735.3 923.5 L 736.1 923.5 L 736.1 925.9 L 739.0 925.9 L 739.0 923.5 L 739.7 923.5 L 739.7 929.1 L 739.0 929.1 L 739.0 926.5 L 736.1 926.5 L 736.1 929.1 L 735.3 929.1 L 735.3 923.5 \" fill=\"#0000FF\"/>\n",
        "<path class=\"atom-6\" d=\"M 741.3 923.5 L 743.2 926.5 Q 743.3 926.8, 743.6 927.3 Q 743.9 927.8, 744.0 927.9 L 744.0 923.5 L 744.7 923.5 L 744.7 929.1 L 743.9 929.1 L 741.9 925.9 Q 741.7 925.5, 741.4 925.0 Q 741.2 924.6, 741.1 924.5 L 741.1 929.1 L 740.4 929.1 L 740.4 923.5 L 741.3 923.5 \" fill=\"#0000FF\"/>\n",
@@ -3700,48 +3659,53 @@
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        "<path d=\"M 792.4 998.6 L 793.5 998.6 L 793.5 1002.0 L 792.4 1002.0 L 792.4 998.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 997.3,930.3 L 992.6,923.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 992.6,923.9 L 987.8,917.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 982.7,914.5 L 974.0,915.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 974.0,915.6 L 965.4,916.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 965.4,916.6 L 962.2,924.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 962.2,924.1 L 958.9,931.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 960.8,917.2 L 958.5,922.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 958.5,922.5 L 956.2,927.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-10 atom-2\" d=\"M 953.4,900.5 L 965.4,916.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 954.8,935.3 L 946.2,936.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 946.2,936.3 L 937.6,937.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 937.6,937.3 L 933.0,943.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 933.0,943.8 L 928.4,950.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-8 atom-4\" d=\"M 925.6,921.3 L 937.6,937.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-8 atom-4\" d=\"M 930.6,921.3 L 939.0,932.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 923.4,952.9 L 915.1,950.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 915.1,950.3 L 906.9,947.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 906.9,947.7 L 906.6,927.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 910.8,944.7 L 910.7,930.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 906.6,927.7 L 925.6,921.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 925.6,921.3 L 933.5,902.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 933.5,902.8 L 953.4,900.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 937.0,906.5 L 950.9,904.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-13 atom-9\" d=\"M 926.7,888.0 L 930.1,895.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-13 atom-9\" d=\"M 930.1,895.4 L 933.5,902.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 953.4,900.5 L 955.1,892.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 955.1,892.3 L 956.7,884.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 954.7,879.4 L 947.3,875.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 947.3,875.2 L 939.9,871.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 950.5,881.6 L 945.3,878.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 945.3,878.7 L 940.1,875.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 939.9,871.0 L 933.8,876.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 933.8,876.6 L 927.8,882.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 922.5,884.1 L 914.0,882.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 914.0,882.4 L 905.5,880.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 984.1 911.4 L 985.9 914.4 Q 986.1 914.7, 986.4 915.2 Q 986.7 915.8, 986.7 915.8 L 986.7 911.4 L 987.5 911.4 L 987.5 917.1 L 986.7 917.1 L 984.7 913.8 Q 984.5 913.4, 984.2 913.0 Q 984.0 912.5, 983.9 912.4 L 983.9 917.1 L 983.2 917.1 L 983.2 911.4 L 984.1 911.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-1\" d=\"M 988.2 911.4 L 988.9 911.4 L 988.9 913.8 L 991.8 913.8 L 991.8 911.4 L 992.6 911.4 L 992.6 917.1 L 991.8 917.1 L 991.8 914.4 L 988.9 914.4 L 988.9 917.1 L 988.2 917.1 L 988.2 911.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-3\" d=\"M 956.2 932.1 L 958.1 935.2 Q 958.3 935.5, 958.6 936.0 Q 958.9 936.5, 958.9 936.6 L 958.9 932.1 L 959.6 932.1 L 959.6 937.8 L 958.9 937.8 L 956.9 934.5 Q 956.6 934.2, 956.4 933.7 Q 956.2 933.3, 956.1 933.1 L 956.1 937.8 L 955.3 937.8 L 955.3 932.1 L 956.2 932.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 924.7 950.9 L 926.6 953.9 Q 926.8 954.2, 927.1 954.7 Q 927.4 955.2, 927.4 955.3 L 927.4 950.9 L 928.2 950.9 L 928.2 956.5 L 927.4 956.5 L 925.4 953.3 Q 925.2 952.9, 924.9 952.4 Q 924.7 952.0, 924.6 951.8 L 924.6 956.5 L 923.9 956.5 L 923.9 950.9 L 924.7 950.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 923.8 957.1 L 924.6 957.1 L 924.6 959.5 L 927.5 959.5 L 927.5 957.1 L 928.2 957.1 L 928.2 962.8 L 927.5 962.8 L 927.5 960.2 L 924.6 960.2 L 924.6 962.8 L 923.8 962.8 L 923.8 957.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 956.1 878.0 L 958.0 881.0 Q 958.1 881.3, 958.4 881.8 Q 958.7 882.4, 958.8 882.4 L 958.8 878.0 L 959.5 878.0 L 959.5 883.7 L 958.7 883.7 L 956.7 880.4 Q 956.5 880.0, 956.2 879.6 Q 956.0 879.1, 955.9 879.0 L 955.9 883.7 L 955.2 883.7 L 955.2 878.0 L 956.1 878.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-13\" d=\"M 923.9 881.8 L 925.7 884.8 Q 925.9 885.1, 926.2 885.6 Q 926.5 886.2, 926.5 886.2 L 926.5 881.8 L 927.3 881.8 L 927.3 887.5 L 926.5 887.5 L 924.5 884.2 Q 924.3 883.8, 924.0 883.4 Q 923.8 882.9, 923.7 882.8 L 923.7 887.5 L 923.0 887.5 L 923.0 881.8 L 923.9 881.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 957.2,952.3 L 949.4,949.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 949.4,949.3 L 941.6,946.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 955.7,956.1 L 947.9,953.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 947.9,953.0 L 940.1,950.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 940.8,948.1 L 934.4,953.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 934.4,953.4 L 927.9,958.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-18 atom-18 atom-1\" d=\"M 937.8,928.3 L 940.8,948.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 922.6,959.7 L 914.5,956.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 914.5,956.6 L 906.5,953.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 906.5,953.4 L 903.5,933.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 910.0,949.9 L 907.9,936.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 903.5,933.6 L 919.1,921.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 919.1,921.1 L 916.0,901.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 922.6,917.5 L 920.5,903.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-19 atom-18 atom-5\" d=\"M 937.8,928.3 L 919.1,921.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 916.0,901.3 L 909.0,896.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 909.0,896.6 L 901.9,892.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-20 atom-10 atom-6\" d=\"M 931.7,888.7 L 916.0,901.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 900.2,886.9 L 902.3,878.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 902.3,878.9 L 904.5,870.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 904.5,870.9 L 913.2,870.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 913.2,870.5 L 921.9,870.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 907.3,874.8 L 913.4,874.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 913.4,874.5 L 919.5,874.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 925.8,873.3 L 928.7,881.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 928.7,881.0 L 931.7,888.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 931.7,888.7 L 950.3,896.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 933.0,893.5 L 946.1,898.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 950.3,896.0 L 966.0,883.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-21 atom-17 atom-11\" d=\"M 953.4,915.8 L 950.3,896.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 966.0,883.4 L 984.7,890.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 967.3,888.2 L 980.4,893.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 984.7,890.7 L 987.7,910.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 987.7,910.5 L 996.0,913.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 996.0,913.7 L 1004.2,916.9\" style=\"fill:none;fill-rule:evenodd;stroke:#33CCCC;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-14 atom-16\" d=\"M 987.7,910.5 L 972.1,923.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-14 atom-16\" d=\"M 982.9,909.2 L 971.9,918.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 972.1,923.0 L 953.4,915.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 953.4,915.8 L 937.8,928.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 948.6,914.5 L 937.6,923.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 956.9 955.4 Q 956.9 954.1, 957.6 953.3 Q 958.3 952.5, 959.5 952.5 Q 960.8 952.5, 961.5 953.3 Q 962.1 954.1, 962.1 955.4 Q 962.1 956.8, 961.5 957.6 Q 960.8 958.4, 959.5 958.4 Q 958.3 958.4, 957.6 957.6 Q 956.9 956.8, 956.9 955.4 M 959.5 957.7 Q 960.4 957.7, 960.9 957.1 Q 961.3 956.6, 961.3 955.4 Q 961.3 954.3, 960.9 953.7 Q 960.4 953.2, 959.5 953.2 Q 958.7 953.2, 958.2 953.7 Q 957.7 954.3, 957.7 955.4 Q 957.7 956.6, 958.2 957.1 Q 958.7 957.7, 959.5 957.7 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-2\" d=\"M 924.0 957.9 L 925.8 960.9 Q 926.0 961.2, 926.3 961.7 Q 926.6 962.2, 926.6 962.3 L 926.6 957.9 L 927.4 957.9 L 927.4 963.5 L 926.6 963.5 L 924.6 960.3 Q 924.4 959.9, 924.1 959.4 Q 923.9 959.0, 923.8 958.9 L 923.8 963.5 L 923.1 963.5 L 923.1 957.9 L 924.0 957.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 923.0 964.1 L 923.8 964.1 L 923.8 966.5 L 926.7 966.5 L 926.7 964.1 L 927.4 964.1 L 927.4 969.8 L 926.7 969.8 L 926.7 967.2 L 923.8 967.2 L 923.8 969.8 L 923.0 969.8 L 923.0 964.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 892.0 887.4 L 892.8 887.4 L 892.8 889.9 L 895.7 889.9 L 895.7 887.4 L 896.4 887.4 L 896.4 893.1 L 895.7 893.1 L 895.7 890.5 L 892.8 890.5 L 892.8 893.1 L 892.0 893.1 L 892.0 887.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 898.0 887.4 L 899.9 890.5 Q 900.0 890.7, 900.3 891.3 Q 900.6 891.8, 900.7 891.9 L 900.7 887.4 L 901.4 887.4 L 901.4 893.1 L 900.6 893.1 L 898.6 889.8 Q 898.4 889.4, 898.2 889.0 Q 897.9 888.6, 897.8 888.4 L 897.8 893.1 L 897.1 893.1 L 897.1 887.4 L 898.0 887.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 923.3 867.1 L 925.2 870.1 Q 925.3 870.4, 925.6 871.0 Q 925.9 871.5, 925.9 871.5 L 925.9 867.1 L 926.7 867.1 L 926.7 872.8 L 925.9 872.8 L 923.9 869.5 Q 923.7 869.1, 923.4 868.7 Q 923.2 868.2, 923.1 868.1 L 923.1 872.8 L 922.4 872.8 L 922.4 867.1 L 923.3 867.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-15\" d=\"M 1004.7 914.9 L 1008.1 914.9 L 1008.1 915.5 L 1005.5 915.5 L 1005.5 917.3 L 1007.8 917.3 L 1007.8 917.9 L 1005.5 917.9 L 1005.5 920.6 L 1004.7 920.6 L 1004.7 914.9 \" fill=\"#33CCCC\"/>\n",
        "<path d=\"M 897.5 1009.4 L 900.0 1009.4 L 900.0 1001.0 L 897.3 1001.8 L 896.9 1000.9 L 900.4 999.3 L 901.5 999.5 L 901.5 1009.4 L 903.7 1009.4 L 903.7 1010.7 L 897.5 1010.7 L 897.5 1009.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 909.1 998.3 L 910.5 998.3 L 910.5 1013.8 L 909.1 1013.8 L 909.1 998.3 \" fill=\"#000000\"/>\n",
@@ -3757,32 +3721,44 @@
        "<path d=\"M 958.0 999.4 Q 959.9 999.4, 960.9 1000.3 Q 961.9 1001.1, 961.9 1002.7 Q 961.9 1004.3, 960.9 1005.2 Q 959.9 1006.1, 958.0 1006.1 L 956.2 1006.1 L 956.2 1010.7 L 954.6 1010.7 L 954.6 999.4 L 958.0 999.4 M 958.0 1004.8 Q 959.1 1004.8, 959.7 1004.3 Q 960.3 1003.7, 960.3 1002.7 Q 960.3 1001.7, 959.7 1001.2 Q 959.1 1000.7, 958.0 1000.7 L 956.2 1000.7 L 956.2 1004.8 L 958.0 1004.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 962.4 998.6 L 963.5 998.6 L 963.5 1002.0 L 962.4 1002.0 L 962.4 998.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 967.2 998.3 L 967.2 1013.8 L 963.8 1013.8 L 963.8 1012.7 L 965.9 1012.7 L 965.9 999.5 L 963.8 999.5 L 963.8 998.3 L 967.2 998.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1142.3,923.7 L 1125.0,933.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1137.7,921.7 L 1125.6,928.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 1142.3,906.9 L 1142.3,915.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 1142.3,915.3 L 1142.3,923.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1125.0,933.7 L 1107.6,923.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1107.6,923.7 L 1099.4,926.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1099.4,926.3 L 1091.2,929.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-6 atom-2\" d=\"M 1107.6,903.6 L 1107.6,923.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-6 atom-2\" d=\"M 1111.6,906.6 L 1111.6,920.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1086.1,926.5 L 1081.5,920.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1081.5,920.1 L 1076.8,913.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1076.8,913.6 L 1081.5,907.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1081.5,907.2 L 1086.1,900.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1081.4,914.1 L 1084.7,909.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1084.7,909.5 L 1088.0,905.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1091.2,898.3 L 1099.4,900.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1099.4,900.9 L 1107.6,903.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1107.6,903.6 L 1125.0,893.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1125.0,893.6 L 1132.3,897.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1132.3,897.8 L 1139.7,902.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1125.2,898.3 L 1130.3,901.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1130.3,901.3 L 1135.5,904.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-3\" d=\"M 1087.3 927.0 L 1089.2 930.0 Q 1089.3 930.3, 1089.6 930.8 Q 1089.9 931.4, 1090.0 931.4 L 1090.0 927.0 L 1090.7 927.0 L 1090.7 932.7 L 1089.9 932.7 L 1087.9 929.4 Q 1087.7 929.0, 1087.5 928.6 Q 1087.2 928.1, 1087.1 928.0 L 1087.1 932.7 L 1086.4 932.7 L 1086.4 927.0 L 1087.3 927.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-3\" d=\"M 1086.3 933.3 L 1087.1 933.3 L 1087.1 935.7 L 1090.0 935.7 L 1090.0 933.3 L 1090.8 933.3 L 1090.8 938.9 L 1090.0 938.9 L 1090.0 936.3 L 1087.1 936.3 L 1087.1 938.9 L 1086.3 938.9 L 1086.3 933.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 1087.3 894.6 L 1089.2 897.6 Q 1089.3 897.9, 1089.6 898.4 Q 1089.9 898.9, 1090.0 899.0 L 1090.0 894.6 L 1090.7 894.6 L 1090.7 900.2 L 1089.9 900.2 L 1087.9 897.0 Q 1087.7 896.6, 1087.5 896.1 Q 1087.2 895.7, 1087.1 895.6 L 1087.1 900.2 L 1086.4 900.2 L 1086.4 894.6 L 1087.3 894.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 1141.1 900.8 L 1143.0 903.8 Q 1143.1 904.1, 1143.4 904.6 Q 1143.7 905.1, 1143.7 905.2 L 1143.7 900.8 L 1144.5 900.8 L 1144.5 906.4 L 1143.7 906.4 L 1141.7 903.2 Q 1141.5 902.8, 1141.2 902.3 Q 1141.0 901.9, 1140.9 901.8 L 1140.9 906.4 L 1140.2 906.4 L 1140.2 900.8 L 1141.1 900.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1035.4,910.1 L 1041.2,915.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1041.2,915.5 L 1047.1,920.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1053.3,922.7 L 1061.3,920.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1061.3,920.2 L 1069.3,917.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1069.3,917.7 L 1073.7,898.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1073.9,915.6 L 1076.9,901.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-7 atom-2\" d=\"M 1084.1,931.2 L 1069.3,917.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1073.7,898.1 L 1092.8,892.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1092.8,892.1 L 1107.6,905.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1092.3,897.1 L 1102.6,906.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1107.6,905.6 L 1103.2,925.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-15 atom-5\" d=\"M 1127.5,903.7 L 1107.6,905.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1103.2,925.2 L 1084.1,931.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1099.1,922.3 L 1085.7,926.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 1103.2,925.2 L 1110.5,929.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 1110.5,929.5 L 1117.8,933.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1123.1,933.1 L 1129.3,927.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1129.3,927.6 L 1135.5,922.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1135.5,922.1 L 1155.4,924.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1138.9,918.5 L 1152.9,920.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-15 atom-9\" d=\"M 1127.5,903.7 L 1135.5,922.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1155.4,924.4 L 1158.7,932.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1158.7,932.0 L 1162.0,939.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 1155.4,924.4 L 1160.1,918.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 1160.1,918.0 L 1164.9,911.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1165.9,905.0 L 1162.6,897.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1162.6,897.5 L 1159.4,889.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1161.2,904.3 L 1159.0,899.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1159.0,899.1 L 1156.7,893.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 1159.4,889.9 L 1139.5,887.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 1139.5,887.6 L 1127.5,903.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 1140.9,892.4 L 1132.5,903.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 1047.6 923.7 Q 1047.6 922.3, 1048.2 921.5 Q 1048.9 920.8, 1050.2 920.8 Q 1051.4 920.8, 1052.1 921.5 Q 1052.8 922.3, 1052.8 923.7 Q 1052.8 925.1, 1052.1 925.8 Q 1051.4 926.6, 1050.2 926.6 Q 1048.9 926.6, 1048.2 925.8 Q 1047.6 925.1, 1047.6 923.7 M 1050.2 926.0 Q 1051.0 926.0, 1051.5 925.4 Q 1052.0 924.8, 1052.0 923.7 Q 1052.0 922.6, 1051.5 922.0 Q 1051.0 921.4, 1050.2 921.4 Q 1049.3 921.4, 1048.8 922.0 Q 1048.4 922.6, 1048.4 923.7 Q 1048.4 924.8, 1048.8 925.4 Q 1049.3 926.0, 1050.2 926.0 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-8\" d=\"M 1119.2 932.6 L 1121.1 935.6 Q 1121.2 935.9, 1121.5 936.4 Q 1121.8 936.9, 1121.9 937.0 L 1121.9 932.6 L 1122.6 932.6 L 1122.6 938.2 L 1121.8 938.2 L 1119.8 935.0 Q 1119.6 934.6, 1119.4 934.1 Q 1119.1 933.7, 1119.0 933.5 L 1119.0 938.2 L 1118.3 938.2 L 1118.3 932.6 L 1119.2 932.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 1118.2 938.8 L 1119.0 938.8 L 1119.0 941.2 L 1121.9 941.2 L 1121.9 938.8 L 1122.7 938.8 L 1122.7 944.5 L 1121.9 944.5 L 1121.9 941.9 L 1119.0 941.9 L 1119.0 944.5 L 1118.2 944.5 L 1118.2 938.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 1161.2 943.0 Q 1161.2 941.6, 1161.8 940.9 Q 1162.5 940.1, 1163.8 940.1 Q 1164.9 940.1, 1165.6 940.9 L 1165.0 941.4 Q 1164.6 940.8, 1163.8 940.8 Q 1162.9 940.8, 1162.5 941.4 Q 1162.0 941.9, 1162.0 943.0 Q 1162.0 944.1, 1162.5 944.7 Q 1162.9 945.3, 1163.9 945.3 Q 1164.5 945.3, 1165.2 944.9 L 1165.4 945.5 Q 1165.1 945.7, 1164.7 945.8 Q 1164.2 945.9, 1163.7 945.9 Q 1162.5 945.9, 1161.8 945.2 Q 1161.2 944.4, 1161.2 943.0 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-11\" d=\"M 1166.3 939.8 L 1167.0 939.8 L 1167.0 945.9 L 1166.3 945.9 L 1166.3 939.8 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-12\" d=\"M 1166.1 905.5 L 1167.9 908.5 Q 1168.1 908.8, 1168.4 909.3 Q 1168.7 909.9, 1168.7 909.9 L 1168.7 905.5 L 1169.5 905.5 L 1169.5 911.2 L 1168.7 911.2 L 1166.7 907.9 Q 1166.5 907.5, 1166.2 907.1 Q 1166.0 906.6, 1165.9 906.5 L 1165.9 911.2 L 1165.2 911.2 L 1165.2 905.5 L 1166.1 905.5 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1067.5 1009.4 L 1070.0 1009.4 L 1070.0 1001.0 L 1067.3 1001.8 L 1066.9 1000.9 L 1070.4 999.3 L 1071.5 999.5 L 1071.5 1009.4 L 1073.7 1009.4 L 1073.7 1010.7 L 1067.5 1010.7 L 1067.5 1009.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 998.3 L 1080.5 998.3 L 1080.5 1013.8 L 1079.1 1013.8 L 1079.1 998.3 \" fill=\"#000000\"/>\n",
@@ -3798,46 +3774,46 @@
        "<path d=\"M 1128.0 999.4 Q 1129.9 999.4, 1130.9 1000.3 Q 1131.9 1001.1, 1131.9 1002.7 Q 1131.9 1004.3, 1130.9 1005.2 Q 1129.9 1006.1, 1128.0 1006.1 L 1126.2 1006.1 L 1126.2 1010.7 L 1124.6 1010.7 L 1124.6 999.4 L 1128.0 999.4 M 1128.0 1004.8 Q 1129.1 1004.8, 1129.7 1004.3 Q 1130.3 1003.7, 1130.3 1002.7 Q 1130.3 1001.7, 1129.7 1001.2 Q 1129.1 1000.7, 1128.0 1000.7 L 1126.2 1000.7 L 1126.2 1004.8 L 1128.0 1004.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.4 998.6 L 1133.5 998.6 L 1133.5 1002.0 L 1132.4 1002.0 L 1132.4 998.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.2 998.3 L 1137.2 1013.8 L 1133.8 1013.8 L 1133.8 1012.7 L 1135.9 1012.7 L 1135.9 999.5 L 1133.8 999.5 L 1133.8 998.3 L 1137.2 998.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 70.2,1121.7 L 75.0,1115.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 75.0,1115.4 L 79.8,1109.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 79.8,1109.0 L 88.4,1110.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 88.4,1110.1 L 97.0,1111.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 82.8,1105.4 L 88.9,1106.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 88.9,1106.1 L 94.9,1106.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 71.9,1090.6 L 79.8,1109.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 102.2,1108.1 L 106.9,1101.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 106.9,1101.7 L 111.7,1095.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 111.7,1095.4 L 131.6,1097.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 115.1,1091.7 L 129.1,1093.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-8 atom-3\" d=\"M 103.8,1076.9 L 111.7,1095.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 131.6,1097.7 L 143.6,1081.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 143.6,1081.7 L 135.7,1063.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 138.7,1080.5 L 133.2,1067.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 135.7,1063.2 L 115.8,1060.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 115.8,1060.9 L 103.8,1076.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 117.2,1065.7 L 108.8,1076.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 103.8,1076.9 L 83.9,1074.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 83.9,1074.6 L 76.0,1056.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 79.0,1073.4 L 73.5,1060.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-14 atom-9\" d=\"M 71.9,1090.6 L 83.9,1074.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 76.0,1056.1 L 67.3,1055.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 67.3,1055.1 L 58.7,1054.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 53.6,1057.1 L 48.8,1063.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 48.8,1063.4 L 44.1,1069.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 55.3,1061.4 L 52.0,1065.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 52.0,1065.9 L 48.7,1070.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 44.1,1069.8 L 47.3,1077.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 47.3,1077.3 L 50.5,1084.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 54.6,1088.5 L 63.2,1089.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 63.2,1089.6 L 71.9,1090.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 57.7,1084.9 L 63.7,1085.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 63.7,1085.6 L 69.7,1086.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 57.7 1122.2 L 58.5 1122.2 L 58.5 1124.7 L 61.4 1124.7 L 61.4 1122.2 L 62.1 1122.2 L 62.1 1127.9 L 61.4 1127.9 L 61.4 1125.3 L 58.5 1125.3 L 58.5 1127.9 L 57.7 1127.9 L 57.7 1122.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 62.4 1127.7 Q 62.5 1127.4, 62.9 1127.2 Q 63.2 1127.0, 63.7 1127.0 Q 64.2 1127.0, 64.5 1127.3 Q 64.9 1127.6, 64.9 1128.1 Q 64.9 1128.7, 64.4 1129.2 Q 64.0 1129.7, 63.2 1130.3 L 64.9 1130.3 L 64.9 1130.8 L 62.4 1130.8 L 62.4 1130.4 Q 63.1 1129.9, 63.5 1129.5 Q 63.9 1129.2, 64.1 1128.8 Q 64.3 1128.5, 64.3 1128.2 Q 64.3 1127.8, 64.2 1127.6 Q 64.0 1127.4, 63.7 1127.4 Q 63.4 1127.4, 63.2 1127.5 Q 63.0 1127.6, 62.8 1127.9 L 62.4 1127.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 66.5 1122.2 L 68.3 1125.3 Q 68.5 1125.6, 68.8 1126.1 Q 69.1 1126.6, 69.1 1126.7 L 69.1 1122.2 L 69.9 1122.2 L 69.9 1127.9 L 69.1 1127.9 L 67.1 1124.6 Q 66.9 1124.3, 66.6 1123.8 Q 66.4 1123.4, 66.3 1123.2 L 66.3 1127.9 L 65.6 1127.9 L 65.6 1122.2 L 66.5 1122.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 98.4 1108.6 L 100.3 1111.6 Q 100.4 1111.9, 100.7 1112.4 Q 101.0 1112.9, 101.1 1113.0 L 101.1 1108.6 L 101.8 1108.6 L 101.8 1114.2 L 101.0 1114.2 L 99.0 1111.0 Q 98.8 1110.6, 98.6 1110.1 Q 98.3 1109.7, 98.2 1109.6 L 98.2 1114.2 L 97.5 1114.2 L 97.5 1108.6 L 98.4 1108.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 54.8 1050.9 L 56.7 1053.9 Q 56.9 1054.2, 57.1 1054.8 Q 57.4 1055.3, 57.5 1055.3 L 57.5 1050.9 L 58.2 1050.9 L 58.2 1056.6 L 57.4 1056.6 L 55.4 1053.3 Q 55.2 1052.9, 55.0 1052.5 Q 54.7 1052.0, 54.6 1051.9 L 54.6 1056.6 L 53.9 1056.6 L 53.9 1050.9 L 54.8 1050.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-13\" d=\"M 50.7 1085.4 L 52.6 1088.4 Q 52.7 1088.7, 53.0 1089.2 Q 53.3 1089.8, 53.3 1089.8 L 53.3 1085.4 L 54.1 1085.4 L 54.1 1091.1 L 53.3 1091.1 L 51.3 1087.8 Q 51.1 1087.4, 50.8 1087.0 Q 50.6 1086.5, 50.5 1086.4 L 50.5 1091.1 L 49.8 1091.1 L 49.8 1085.4 L 50.7 1085.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 43.2,1115.9 L 44.6,1107.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 44.6,1107.6 L 46.1,1099.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 46.1,1099.3 L 30.7,1086.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 46.3,1094.3 L 35.5,1085.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-6 atom-1\" d=\"M 64.9,1092.4 L 46.1,1099.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 30.7,1086.5 L 34.1,1066.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 34.1,1066.7 L 52.9,1059.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 38.3,1069.4 L 51.4,1064.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 52.9,1059.8 L 68.3,1072.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 68.3,1072.6 L 64.9,1092.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 63.8,1074.9 L 61.4,1088.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-19 atom-17 atom-5\" d=\"M 88.1,1069.8 L 68.3,1072.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 64.9,1092.4 L 72.4,1096.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 72.4,1096.3 L 80.0,1100.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 85.3,1099.1 L 91.1,1093.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 91.1,1093.4 L 97.0,1087.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 97.0,1087.7 L 117.0,1089.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 100.2,1083.9 L 114.2,1084.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-18 atom-17 atom-8\" d=\"M 88.1,1069.8 L 97.0,1087.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 117.0,1089.1 L 125.8,1107.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-20 atom-14 atom-9\" d=\"M 128.1,1072.4 L 117.0,1089.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 125.8,1107.0 L 145.8,1108.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 129.1,1103.2 L 143.1,1104.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 145.8,1108.4 L 157.0,1091.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 157.0,1091.7 L 148.1,1073.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 152.1,1090.8 L 145.9,1078.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 148.1,1073.7 L 128.1,1072.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 128.1,1072.4 L 124.5,1065.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 124.5,1065.1 L 120.9,1057.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 123.4,1072.0 L 120.9,1066.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 120.9,1066.8 L 118.4,1061.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 116.6,1054.2 L 107.9,1053.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 107.9,1053.7 L 99.3,1053.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 99.3,1053.1 L 88.1,1069.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 100.9,1057.8 L 93.1,1069.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 40.5 1119.3 Q 40.5 1117.8, 41.1 1117.1 Q 41.8 1116.4, 43.0 1116.4 Q 44.2 1116.4, 44.8 1117.2 L 44.3 1117.6 Q 43.9 1117.0, 43.0 1117.0 Q 42.2 1117.0, 41.7 1117.6 Q 41.3 1118.2, 41.3 1119.3 Q 41.3 1120.4, 41.7 1121.0 Q 42.2 1121.5, 43.1 1121.5 Q 43.8 1121.5, 44.5 1121.2 L 44.7 1121.8 Q 44.4 1122.0, 44.0 1122.1 Q 43.5 1122.2, 43.0 1122.2 Q 41.8 1122.2, 41.1 1121.4 Q 40.5 1120.7, 40.5 1119.3 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-0\" d=\"M 45.5 1116.0 L 46.3 1116.0 L 46.3 1122.1 L 45.5 1122.1 L 45.5 1116.0 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-7\" d=\"M 81.4 1098.9 L 83.2 1101.9 Q 83.4 1102.2, 83.7 1102.7 Q 84.0 1103.3, 84.0 1103.3 L 84.0 1098.9 L 84.8 1098.9 L 84.8 1104.6 L 84.0 1104.6 L 82.0 1101.3 Q 81.8 1100.9, 81.5 1100.4 Q 81.3 1100.0, 81.2 1099.9 L 81.2 1104.6 L 80.5 1104.6 L 80.5 1098.9 L 81.4 1098.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 80.4 1105.1 L 81.2 1105.1 L 81.2 1107.5 L 84.1 1107.5 L 84.1 1105.1 L 84.8 1105.1 L 84.8 1110.8 L 84.1 1110.8 L 84.1 1108.2 L 81.2 1108.2 L 81.2 1110.8 L 80.4 1110.8 L 80.4 1105.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-15\" d=\"M 118.0 1051.6 L 119.9 1054.6 Q 120.1 1054.9, 120.4 1055.4 Q 120.7 1055.9, 120.7 1056.0 L 120.7 1051.6 L 121.4 1051.6 L 121.4 1057.2 L 120.6 1057.2 L 118.6 1054.0 Q 118.4 1053.6, 118.2 1053.1 Q 117.9 1052.7, 117.9 1052.6 L 117.9 1057.2 L 117.1 1057.2 L 117.1 1051.6 L 118.0 1051.6 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 1179.4 L 50.0 1179.4 L 50.0 1171.0 L 47.3 1171.8 L 46.9 1170.9 L 50.4 1169.3 L 51.5 1169.5 L 51.5 1179.4 L 53.7 1179.4 L 53.7 1180.7 L 47.5 1180.7 L 47.5 1179.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 1168.3 L 60.5 1168.3 L 60.5 1183.8 L 59.1 1183.8 L 59.1 1168.3 \" fill=\"#000000\"/>\n",
@@ -3853,42 +3829,49 @@
        "<path d=\"M 108.0 1169.4 Q 109.9 1169.4, 110.9 1170.3 Q 111.9 1171.1, 111.9 1172.7 Q 111.9 1174.3, 110.9 1175.2 Q 109.9 1176.1, 108.0 1176.1 L 106.2 1176.1 L 106.2 1180.7 L 104.6 1180.7 L 104.6 1169.4 L 108.0 1169.4 M 108.0 1174.8 Q 109.1 1174.8, 109.7 1174.3 Q 110.3 1173.7, 110.3 1172.7 Q 110.3 1171.7, 109.7 1171.2 Q 109.1 1170.7, 108.0 1170.7 L 106.2 1170.7 L 106.2 1174.8 L 108.0 1174.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 112.4 1168.6 L 113.5 1168.6 L 113.5 1172.0 L 112.4 1172.0 L 112.4 1168.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 1168.3 L 117.2 1183.8 L 113.8 1183.8 L 113.8 1182.7 L 115.9 1182.7 L 115.9 1169.5 L 113.8 1169.5 L 113.8 1168.3 L 117.2 1168.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 240.2,1121.7 L 245.0,1115.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 245.0,1115.4 L 249.8,1109.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 249.8,1109.0 L 258.4,1110.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 258.4,1110.1 L 267.0,1111.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 252.8,1105.4 L 258.9,1106.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 258.9,1106.1 L 264.9,1106.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 241.9,1090.6 L 249.8,1109.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 272.2,1108.1 L 276.9,1101.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 276.9,1101.7 L 281.7,1095.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 281.7,1095.4 L 301.6,1097.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 285.1,1091.7 L 299.1,1093.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-8 atom-3\" d=\"M 273.8,1076.9 L 281.7,1095.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 301.6,1097.7 L 313.6,1081.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 313.6,1081.7 L 305.7,1063.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 308.7,1080.5 L 303.2,1067.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 305.7,1063.2 L 285.8,1060.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 285.8,1060.9 L 273.8,1076.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 287.2,1065.7 L 278.8,1076.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 273.8,1076.9 L 253.9,1074.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 253.9,1074.6 L 246.0,1056.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 249.0,1073.4 L 243.5,1060.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-14 atom-9\" d=\"M 241.9,1090.6 L 253.9,1074.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 246.0,1056.1 L 237.3,1055.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 237.3,1055.1 L 228.7,1054.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 223.6,1057.1 L 218.8,1063.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 218.8,1063.4 L 214.1,1069.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 225.3,1061.4 L 222.0,1065.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 222.0,1065.9 L 218.7,1070.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 214.1,1069.8 L 221.9,1088.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 221.9,1088.2 L 241.9,1090.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 225.4,1084.6 L 239.3,1086.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 227.7 1122.2 L 228.5 1122.2 L 228.5 1124.7 L 231.4 1124.7 L 231.4 1122.2 L 232.1 1122.2 L 232.1 1127.9 L 231.4 1127.9 L 231.4 1125.3 L 228.5 1125.3 L 228.5 1127.9 L 227.7 1127.9 L 227.7 1122.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 232.4 1127.7 Q 232.5 1127.4, 232.9 1127.2 Q 233.2 1127.0, 233.7 1127.0 Q 234.2 1127.0, 234.5 1127.3 Q 234.9 1127.6, 234.9 1128.1 Q 234.9 1128.7, 234.4 1129.2 Q 234.0 1129.7, 233.2 1130.3 L 234.9 1130.3 L 234.9 1130.8 L 232.4 1130.8 L 232.4 1130.4 Q 233.1 1129.9, 233.5 1129.5 Q 233.9 1129.2, 234.1 1128.8 Q 234.3 1128.5, 234.3 1128.2 Q 234.3 1127.8, 234.2 1127.6 Q 234.0 1127.4, 233.7 1127.4 Q 233.4 1127.4, 233.2 1127.5 Q 233.0 1127.6, 232.8 1127.9 L 232.4 1127.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 236.5 1122.2 L 238.3 1125.3 Q 238.5 1125.6, 238.8 1126.1 Q 239.1 1126.6, 239.1 1126.7 L 239.1 1122.2 L 239.9 1122.2 L 239.9 1127.9 L 239.1 1127.9 L 237.1 1124.6 Q 236.9 1124.3, 236.6 1123.8 Q 236.4 1123.4, 236.3 1123.2 L 236.3 1127.9 L 235.6 1127.9 L 235.6 1122.2 L 236.5 1122.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 268.4 1108.6 L 270.3 1111.6 Q 270.4 1111.9, 270.7 1112.4 Q 271.0 1112.9, 271.1 1113.0 L 271.1 1108.6 L 271.8 1108.6 L 271.8 1114.2 L 271.0 1114.2 L 269.0 1111.0 Q 268.8 1110.6, 268.6 1110.1 Q 268.3 1109.7, 268.2 1109.6 L 268.2 1114.2 L 267.5 1114.2 L 267.5 1108.6 L 268.4 1108.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 224.8 1050.9 L 226.7 1053.9 Q 226.9 1054.2, 227.1 1054.8 Q 227.4 1055.3, 227.5 1055.3 L 227.5 1050.9 L 228.2 1050.9 L 228.2 1056.6 L 227.4 1056.6 L 225.4 1053.3 Q 225.2 1052.9, 225.0 1052.5 Q 224.7 1052.0, 224.6 1051.9 L 224.6 1056.6 L 223.9 1056.6 L 223.9 1050.9 L 224.8 1050.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 213.2,1118.7 L 213.8,1110.3\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 213.8,1110.3 L 214.4,1102.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 214.4,1102.0 L 197.7,1090.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 214.1,1097.0 L 202.5,1089.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-18 atom-6 atom-1\" d=\"M 232.4,1093.2 L 214.4,1102.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 197.7,1090.8 L 199.1,1070.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 199.1,1070.8 L 217.1,1062.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 203.5,1073.1 L 216.1,1066.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 217.1,1062.0 L 233.7,1073.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 233.7,1073.2 L 232.4,1093.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 229.5,1075.9 L 228.6,1089.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-20 atom-18 atom-5\" d=\"M 253.2,1068.3 L 233.7,1073.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 232.4,1093.2 L 240.3,1096.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 240.3,1096.4 L 248.3,1099.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 253.6,1097.5 L 258.7,1091.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 258.7,1091.4 L 263.8,1085.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 263.8,1085.3 L 283.9,1084.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 266.7,1081.1 L 280.7,1080.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-19 atom-18 atom-8\" d=\"M 253.2,1068.3 L 263.8,1085.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 283.9,1084.5 L 294.5,1101.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-21 atom-15 atom-9\" d=\"M 293.2,1066.8 L 283.9,1084.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 294.5,1101.5 L 314.6,1100.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 297.4,1097.4 L 311.4,1096.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 314.6,1100.7 L 319.5,1108.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 319.5,1108.5 L 324.3,1116.3\" style=\"fill:none;fill-rule:evenodd;stroke:#A01EEF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-11 atom-13\" d=\"M 314.6,1100.7 L 323.9,1083.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 323.9,1083.0 L 313.3,1066.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 318.9,1082.6 L 311.5,1070.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 313.3,1066.0 L 293.2,1066.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 293.2,1066.8 L 289.0,1060.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 289.0,1060.0 L 284.7,1053.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 288.6,1066.9 L 285.6,1062.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 285.6,1062.1 L 282.6,1057.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 279.9,1049.9 L 271.2,1050.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 271.2,1050.2 L 262.5,1050.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 262.5,1050.6 L 253.2,1068.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 264.7,1055.1 L 258.1,1067.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 213.9 1121.9 Q 214.4 1122.0, 214.7 1122.4 Q 215.0 1122.7, 215.0 1123.2 Q 215.0 1124.0, 214.4 1124.4 Q 213.9 1124.8, 213.0 1124.8 L 211.1 1124.8 L 211.1 1119.2 L 212.8 1119.2 Q 213.7 1119.2, 214.2 1119.6 Q 214.7 1120.0, 214.7 1120.7 Q 214.7 1121.5, 213.9 1121.9 M 211.9 1119.8 L 211.9 1121.6 L 212.8 1121.6 Q 213.3 1121.6, 213.6 1121.4 Q 213.9 1121.1, 213.9 1120.7 Q 213.9 1119.8, 212.8 1119.8 L 211.9 1119.8 M 213.0 1124.2 Q 213.6 1124.2, 213.9 1123.9 Q 214.1 1123.7, 214.1 1123.2 Q 214.1 1122.7, 213.8 1122.5 Q 213.5 1122.2, 212.9 1122.2 L 211.9 1122.2 L 211.9 1124.2 L 213.0 1124.2 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-0\" d=\"M 216.2 1120.7 L 216.3 1121.3 Q 216.8 1120.7, 217.5 1120.7 Q 217.7 1120.7, 218.0 1120.7 L 217.9 1121.4 Q 217.5 1121.3, 217.3 1121.3 Q 217.0 1121.3, 216.8 1121.5 Q 216.6 1121.6, 216.4 1121.9 L 216.4 1124.8 L 215.6 1124.8 L 215.6 1120.7 L 216.2 1120.7 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"atom-7\" d=\"M 249.7 1097.8 L 251.6 1100.8 Q 251.8 1101.1, 252.1 1101.6 Q 252.4 1102.2, 252.4 1102.2 L 252.4 1097.8 L 253.1 1097.8 L 253.1 1103.5 L 252.4 1103.5 L 250.4 1100.2 Q 250.1 1099.8, 249.9 1099.4 Q 249.6 1098.9, 249.6 1098.8 L 249.6 1103.5 L 248.8 1103.5 L 248.8 1097.8 L 249.7 1097.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 248.8 1104.1 L 249.5 1104.1 L 249.5 1106.5 L 252.4 1106.5 L 252.4 1104.1 L 253.2 1104.1 L 253.2 1109.7 L 252.4 1109.7 L 252.4 1107.1 L 249.5 1107.1 L 249.5 1109.7 L 248.8 1109.7 L 248.8 1104.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-12\" d=\"M 324.8 1114.9 L 325.6 1114.9 L 325.6 1120.6 L 324.8 1120.6 L 324.8 1114.9 \" fill=\"#A01EEF\"/>\n",
+       "<path class=\"atom-16\" d=\"M 281.3 1047.0 L 283.2 1050.0 Q 283.4 1050.3, 283.7 1050.8 Q 284.0 1051.4, 284.0 1051.4 L 284.0 1047.0 L 284.7 1047.0 L 284.7 1052.7 L 284.0 1052.7 L 282.0 1049.4 Q 281.7 1049.0, 281.5 1048.5 Q 281.2 1048.1, 281.2 1048.0 L 281.2 1052.7 L 280.4 1052.7 L 280.4 1047.0 L 281.3 1047.0 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 217.5 1179.4 L 220.0 1179.4 L 220.0 1171.0 L 217.3 1171.8 L 216.9 1170.9 L 220.4 1169.3 L 221.5 1169.5 L 221.5 1179.4 L 223.7 1179.4 L 223.7 1180.7 L 217.5 1180.7 L 217.5 1179.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 229.1 1168.3 L 230.5 1168.3 L 230.5 1183.8 L 229.1 1183.8 L 229.1 1168.3 \" fill=\"#000000\"/>\n",
@@ -3904,35 +3887,41 @@
        "<path d=\"M 278.0 1169.4 Q 279.9 1169.4, 280.9 1170.3 Q 281.9 1171.1, 281.9 1172.7 Q 281.9 1174.3, 280.9 1175.2 Q 279.9 1176.1, 278.0 1176.1 L 276.2 1176.1 L 276.2 1180.7 L 274.6 1180.7 L 274.6 1169.4 L 278.0 1169.4 M 278.0 1174.8 Q 279.1 1174.8, 279.7 1174.3 Q 280.3 1173.7, 280.3 1172.7 Q 280.3 1171.7, 279.7 1171.2 Q 279.1 1170.7, 278.0 1170.7 L 276.2 1170.7 L 276.2 1174.8 L 278.0 1174.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 282.4 1168.6 L 283.5 1168.6 L 283.5 1172.0 L 282.4 1172.0 L 282.4 1168.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 287.2 1168.3 L 287.2 1183.8 L 283.8 1183.8 L 283.8 1182.7 L 285.9 1182.7 L 285.9 1169.5 L 283.8 1169.5 L 283.8 1168.3 L 287.2 1168.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 379.0,1064.7 L 381.7,1072.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 381.7,1072.5 L 384.4,1080.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 388.7,1084.2 L 397.0,1085.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 397.0,1085.8 L 405.3,1087.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 405.3,1087.4 L 411.8,1106.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 410.1,1088.9 L 414.7,1102.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-2\" d=\"M 418.4,1072.3 L 405.3,1087.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 411.8,1106.4 L 431.5,1110.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 431.5,1110.1 L 444.7,1095.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 430.5,1105.3 L 439.7,1094.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 444.7,1095.0 L 464.3,1098.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 438.1,1076.1 L 444.7,1095.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 464.3,1098.8 L 469.6,1092.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 469.6,1092.7 L 474.8,1086.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 462.9,1094.3 L 466.5,1090.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 466.5,1090.1 L 470.2,1085.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 476.3,1080.3 L 473.6,1072.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 473.6,1072.5 L 470.9,1064.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 470.9,1064.7 L 462.4,1063.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 462.4,1063.0 L 453.9,1061.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 467.6,1068.1 L 461.6,1067.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 461.6,1067.0 L 455.7,1065.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 448.6,1064.0 L 443.3,1070.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 443.3,1070.0 L 438.1,1076.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 438.1,1076.1 L 418.4,1072.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 434.4,1079.4 L 420.6,1076.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 383.0 1083.6 Q 383.0 1082.3, 383.7 1081.5 Q 384.3 1080.8, 385.6 1080.8 Q 386.9 1080.8, 387.5 1081.5 Q 388.2 1082.3, 388.2 1083.6 Q 388.2 1085.0, 387.5 1085.8 Q 386.8 1086.6, 385.6 1086.6 Q 384.3 1086.6, 383.7 1085.8 Q 383.0 1085.0, 383.0 1083.6 M 385.6 1085.9 Q 386.5 1085.9, 386.9 1085.4 Q 387.4 1084.8, 387.4 1083.6 Q 387.4 1082.5, 386.9 1082.0 Q 386.5 1081.4, 385.6 1081.4 Q 384.7 1081.4, 384.3 1082.0 Q 383.8 1082.5, 383.8 1083.6 Q 383.8 1084.8, 384.3 1085.4 Q 384.7 1085.9, 385.6 1085.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-7\" d=\"M 476.2 1080.8 L 478.1 1083.8 Q 478.3 1084.1, 478.6 1084.6 Q 478.9 1085.2, 478.9 1085.2 L 478.9 1080.8 L 479.6 1080.8 L 479.6 1086.5 L 478.8 1086.5 L 476.8 1083.2 Q 476.6 1082.8, 476.4 1082.4 Q 476.1 1081.9, 476.1 1081.8 L 476.1 1086.5 L 475.3 1086.5 L 475.3 1080.8 L 476.2 1080.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 450.0 1058.1 L 451.8 1061.1 Q 452.0 1061.4, 452.3 1061.9 Q 452.6 1062.4, 452.6 1062.5 L 452.6 1058.1 L 453.4 1058.1 L 453.4 1063.7 L 452.6 1063.7 L 450.6 1060.4 Q 450.4 1060.1, 450.1 1059.6 Q 449.9 1059.2, 449.8 1059.0 L 449.8 1063.7 L 449.1 1063.7 L 449.1 1058.1 L 450.0 1058.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 355.4,1080.1 L 361.2,1085.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 361.2,1085.5 L 367.1,1090.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 373.3,1092.7 L 381.3,1090.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 381.3,1090.2 L 389.3,1087.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 389.3,1087.7 L 393.7,1068.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 393.9,1085.6 L 396.9,1071.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-7 atom-2\" d=\"M 404.1,1101.2 L 389.3,1087.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 393.7,1068.1 L 412.8,1062.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 412.8,1062.1 L 427.6,1075.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 412.3,1067.1 L 422.6,1076.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 427.6,1075.6 L 423.2,1095.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-15 atom-5\" d=\"M 447.5,1073.7 L 427.6,1075.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 423.2,1095.2 L 404.1,1101.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 419.1,1092.3 L 405.7,1096.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 423.2,1095.2 L 430.5,1099.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 430.5,1099.5 L 437.8,1103.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 443.1,1103.1 L 449.3,1097.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 449.3,1097.6 L 455.5,1092.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 455.5,1092.1 L 475.4,1094.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 458.9,1088.5 L 472.9,1090.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-15 atom-9\" d=\"M 447.5,1073.7 L 455.5,1092.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 475.4,1094.4 L 483.4,1112.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 475.4,1094.4 L 480.1,1088.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 480.1,1088.0 L 484.9,1081.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 485.9,1075.0 L 482.6,1067.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 482.6,1067.5 L 479.4,1059.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 481.2,1074.3 L 479.0,1069.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 479.0,1069.1 L 476.7,1063.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 479.4,1059.9 L 459.5,1057.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 459.5,1057.6 L 447.5,1073.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 460.9,1062.4 L 452.5,1073.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 367.6 1093.7 Q 367.6 1092.3, 368.2 1091.5 Q 368.9 1090.8, 370.2 1090.8 Q 371.4 1090.8, 372.1 1091.5 Q 372.8 1092.3, 372.8 1093.7 Q 372.8 1095.1, 372.1 1095.8 Q 371.4 1096.6, 370.2 1096.6 Q 368.9 1096.6, 368.2 1095.8 Q 367.6 1095.1, 367.6 1093.7 M 370.2 1096.0 Q 371.0 1096.0, 371.5 1095.4 Q 372.0 1094.8, 372.0 1093.7 Q 372.0 1092.6, 371.5 1092.0 Q 371.0 1091.4, 370.2 1091.4 Q 369.3 1091.4, 368.8 1092.0 Q 368.4 1092.6, 368.4 1093.7 Q 368.4 1094.8, 368.8 1095.4 Q 369.3 1096.0, 370.2 1096.0 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-8\" d=\"M 439.2 1102.6 L 441.1 1105.6 Q 441.2 1105.9, 441.5 1106.4 Q 441.8 1106.9, 441.9 1107.0 L 441.9 1102.6 L 442.6 1102.6 L 442.6 1108.2 L 441.8 1108.2 L 439.8 1105.0 Q 439.6 1104.6, 439.4 1104.1 Q 439.1 1103.7, 439.0 1103.5 L 439.0 1108.2 L 438.3 1108.2 L 438.3 1102.6 L 439.2 1102.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 438.2 1108.8 L 439.0 1108.8 L 439.0 1111.2 L 441.9 1111.2 L 441.9 1108.8 L 442.7 1108.8 L 442.7 1114.5 L 441.9 1114.5 L 441.9 1111.9 L 439.0 1111.9 L 439.0 1114.5 L 438.2 1114.5 L 438.2 1108.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-12\" d=\"M 486.1 1075.5 L 487.9 1078.5 Q 488.1 1078.8, 488.4 1079.3 Q 488.7 1079.9, 488.7 1079.9 L 488.7 1075.5 L 489.5 1075.5 L 489.5 1081.2 L 488.7 1081.2 L 486.7 1077.9 Q 486.5 1077.5, 486.2 1077.1 Q 486.0 1076.6, 485.9 1076.5 L 485.9 1081.2 L 485.2 1081.2 L 485.2 1075.5 L 486.1 1075.5 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 387.5 1179.4 L 390.0 1179.4 L 390.0 1171.0 L 387.3 1171.8 L 386.9 1170.9 L 390.4 1169.3 L 391.5 1169.5 L 391.5 1179.4 L 393.7 1179.4 L 393.7 1180.7 L 387.5 1180.7 L 387.5 1179.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 399.1 1168.3 L 400.5 1168.3 L 400.5 1183.8 L 399.1 1183.8 L 399.1 1168.3 \" fill=\"#000000\"/>\n",
@@ -3948,39 +3937,41 @@
        "<path d=\"M 448.0 1169.4 Q 449.9 1169.4, 450.9 1170.3 Q 451.9 1171.1, 451.9 1172.7 Q 451.9 1174.3, 450.9 1175.2 Q 449.9 1176.1, 448.0 1176.1 L 446.2 1176.1 L 446.2 1180.7 L 444.6 1180.7 L 444.6 1169.4 L 448.0 1169.4 M 448.0 1174.8 Q 449.1 1174.8, 449.7 1174.3 Q 450.3 1173.7, 450.3 1172.7 Q 450.3 1171.7, 449.7 1171.2 Q 449.1 1170.7, 448.0 1170.7 L 446.2 1170.7 L 446.2 1174.8 L 448.0 1174.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 452.4 1168.6 L 453.5 1168.6 L 453.5 1172.0 L 452.4 1172.0 L 452.4 1168.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 457.2 1168.3 L 457.2 1183.8 L 453.8 1183.8 L 453.8 1182.7 L 455.9 1182.7 L 455.9 1169.5 L 453.8 1169.5 L 453.8 1168.3 L 457.2 1168.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 554.6,1074.0 L 562.6,1077.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 562.6,1077.1 L 570.6,1080.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 570.6,1080.2 L 571.9,1088.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 571.9,1088.4 L 573.2,1096.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 575.0,1082.0 L 575.9,1087.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 575.9,1087.8 L 576.8,1093.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 583.6,1069.7 L 577.1,1074.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 577.1,1074.9 L 570.6,1080.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 576.4,1101.0 L 584.4,1104.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 584.4,1104.1 L 592.4,1107.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 592.4,1107.2 L 608.0,1094.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 592.3,1102.2 L 603.2,1093.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 608.0,1094.6 L 626.7,1101.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 604.9,1074.8 L 608.0,1094.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 626.7,1101.8 L 642.3,1089.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 626.6,1096.8 L 637.5,1088.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 642.3,1089.2 L 639.2,1069.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 639.2,1069.4 L 631.2,1066.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 631.2,1066.3 L 623.2,1063.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 635.4,1072.2 L 629.8,1070.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 629.8,1070.1 L 624.2,1067.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 617.9,1064.3 L 611.4,1069.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 611.4,1069.6 L 604.9,1074.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 604.9,1074.8 L 596.9,1071.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 596.9,1071.7 L 588.9,1068.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 601.1,1077.6 L 595.5,1075.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 595.5,1075.4 L 589.9,1073.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 541.9 1070.1 L 542.7 1070.1 L 542.7 1072.5 L 545.6 1072.5 L 545.6 1070.1 L 546.3 1070.1 L 546.3 1075.8 L 545.6 1075.8 L 545.6 1073.2 L 542.7 1073.2 L 542.7 1075.8 L 541.9 1075.8 L 541.9 1070.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 546.6 1075.6 Q 546.7 1075.2, 547.1 1075.0 Q 547.4 1074.8, 547.9 1074.8 Q 548.4 1074.8, 548.7 1075.1 Q 549.1 1075.4, 549.1 1076.0 Q 549.1 1076.5, 548.6 1077.1 Q 548.2 1077.6, 547.4 1078.2 L 549.1 1078.2 L 549.1 1078.6 L 546.6 1078.6 L 546.6 1078.3 Q 547.3 1077.8, 547.7 1077.4 Q 548.1 1077.0, 548.3 1076.7 Q 548.5 1076.4, 548.5 1076.0 Q 548.5 1075.7, 548.3 1075.5 Q 548.2 1075.3, 547.9 1075.3 Q 547.5 1075.3, 547.3 1075.4 Q 547.1 1075.5, 547.0 1075.8 L 546.6 1075.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 550.7 1070.1 L 552.5 1073.1 Q 552.7 1073.4, 553.0 1073.9 Q 553.3 1074.5, 553.3 1074.5 L 553.3 1070.1 L 554.1 1070.1 L 554.1 1075.8 L 553.3 1075.8 L 551.3 1072.5 Q 551.1 1072.1, 550.8 1071.7 Q 550.6 1071.2, 550.5 1071.1 L 550.5 1075.8 L 549.8 1075.8 L 549.8 1070.1 L 550.7 1070.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 572.5 1097.1 L 574.3 1100.1 Q 574.5 1100.4, 574.8 1101.0 Q 575.1 1101.5, 575.1 1101.5 L 575.1 1097.1 L 575.9 1097.1 L 575.9 1102.8 L 575.1 1102.8 L 573.1 1099.5 Q 572.9 1099.1, 572.6 1098.7 Q 572.4 1098.3, 572.3 1098.1 L 572.3 1102.8 L 571.6 1102.8 L 571.6 1097.1 L 572.5 1097.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 619.3 1059.4 L 621.2 1062.4 Q 621.3 1062.7, 621.6 1063.2 Q 621.9 1063.7, 621.9 1063.8 L 621.9 1059.4 L 622.7 1059.4 L 622.7 1065.0 L 621.9 1065.0 L 619.9 1061.8 Q 619.7 1061.4, 619.4 1060.9 Q 619.2 1060.5, 619.1 1060.4 L 619.1 1065.0 L 618.4 1065.0 L 618.4 1059.4 L 619.3 1059.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 585.0 1064.7 L 586.8 1067.7 Q 587.0 1068.0, 587.3 1068.6 Q 587.6 1069.1, 587.6 1069.1 L 587.6 1064.7 L 588.4 1064.7 L 588.4 1070.4 L 587.6 1070.4 L 585.6 1067.1 Q 585.4 1066.7, 585.1 1066.3 Q 584.9 1065.9, 584.8 1065.7 L 584.8 1070.4 L 584.1 1070.4 L 584.1 1064.7 L 585.0 1064.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 550.3,1060.3 L 555.3,1066.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 555.3,1066.2 L 560.3,1072.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 553.3,1057.7 L 558.4,1063.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 558.4,1063.6 L 563.4,1069.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 561.8,1070.9 L 555.1,1089.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 578.9,1067.7 L 570.4,1069.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 570.4,1069.3 L 561.8,1070.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 555.1,1089.7 L 568.1,1105.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 560.1,1089.4 L 569.2,1100.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 568.1,1105.0 L 587.8,1101.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 587.8,1101.4 L 600.8,1116.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 592.8,1101.1 L 601.9,1111.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-13 atom-4\" d=\"M 594.5,1082.5 L 587.8,1101.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 600.8,1116.7 L 609.3,1115.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 609.3,1115.2 L 617.8,1113.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 621.7,1109.8 L 624.5,1102.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 624.5,1102.0 L 627.2,1094.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 618.7,1106.1 L 620.7,1100.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 620.7,1100.7 L 622.6,1095.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 627.2,1094.2 L 647.0,1090.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-12 atom-7\" d=\"M 614.3,1079.0 L 627.2,1094.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 647.0,1090.7 L 653.7,1071.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 644.2,1086.5 L 648.9,1073.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 653.7,1071.8 L 640.7,1056.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 640.7,1056.5 L 621.0,1060.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 638.5,1061.0 L 624.7,1063.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 621.0,1060.1 L 614.3,1079.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 614.3,1079.0 L 594.5,1082.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 612.0,1083.4 L 598.2,1086.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 594.5,1082.5 L 589.4,1076.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 589.4,1076.5 L 584.2,1070.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 546.3 1055.6 Q 546.3 1054.2, 546.9 1053.5 Q 547.6 1052.7, 548.9 1052.7 Q 550.1 1052.7, 550.8 1053.5 Q 551.5 1054.2, 551.5 1055.6 Q 551.5 1057.0, 550.8 1057.7 Q 550.1 1058.5, 548.9 1058.5 Q 547.6 1058.5, 546.9 1057.7 Q 546.3 1057.0, 546.3 1055.6 M 548.9 1057.9 Q 549.7 1057.9, 550.2 1057.3 Q 550.7 1056.7, 550.7 1055.6 Q 550.7 1054.5, 550.2 1053.9 Q 549.7 1053.3, 548.9 1053.3 Q 548.0 1053.3, 547.5 1053.9 Q 547.1 1054.5, 547.1 1055.6 Q 547.1 1056.7, 547.5 1057.3 Q 548.0 1057.9, 548.9 1057.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-6\" d=\"M 619.2 1110.3 L 621.1 1113.3 Q 621.3 1113.6, 621.6 1114.1 Q 621.9 1114.7, 621.9 1114.7 L 621.9 1110.3 L 622.6 1110.3 L 622.6 1116.0 L 621.9 1116.0 L 619.9 1112.7 Q 619.6 1112.3, 619.4 1111.8 Q 619.1 1111.4, 619.1 1111.3 L 619.1 1116.0 L 618.3 1116.0 L 618.3 1110.3 L 619.2 1110.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-14\" d=\"M 580.3 1064.4 L 582.2 1067.4 Q 582.4 1067.7, 582.7 1068.3 Q 583.0 1068.8, 583.0 1068.8 L 583.0 1064.4 L 583.7 1064.4 L 583.7 1070.1 L 582.9 1070.1 L 581.0 1066.8 Q 580.7 1066.4, 580.5 1066.0 Q 580.2 1065.5, 580.2 1065.4 L 580.2 1070.1 L 579.4 1070.1 L 579.4 1064.4 L 580.3 1064.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-14\" d=\"M 579.4 1058.2 L 580.1 1058.2 L 580.1 1060.6 L 583.0 1060.6 L 583.0 1058.2 L 583.8 1058.2 L 583.8 1063.9 L 583.0 1063.9 L 583.0 1061.2 L 580.1 1061.2 L 580.1 1063.9 L 579.4 1063.9 L 579.4 1058.2 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 557.5 1179.4 L 560.0 1179.4 L 560.0 1171.0 L 557.3 1171.8 L 556.9 1170.9 L 560.4 1169.3 L 561.5 1169.5 L 561.5 1179.4 L 563.7 1179.4 L 563.7 1180.7 L 557.5 1180.7 L 557.5 1179.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 569.1 1168.3 L 570.5 1168.3 L 570.5 1183.8 L 569.1 1183.8 L 569.1 1168.3 \" fill=\"#000000\"/>\n",
@@ -3996,35 +3987,29 @@
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        "<path d=\"M 622.4 1168.6 L 623.5 1168.6 L 623.5 1172.0 L 622.4 1172.0 L 622.4 1168.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 627.2 1168.3 L 627.2 1183.8 L 623.8 1183.8 L 623.8 1182.7 L 625.9 1182.7 L 625.9 1169.5 L 623.8 1169.5 L 623.8 1168.3 L 627.2 1168.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 709.9,1085.0 L 716.8,1089.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 716.8,1089.5 L 723.6,1093.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 729.9,1094.3 L 737.2,1090.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 737.2,1090.6 L 744.6,1086.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 744.6,1086.8 L 745.7,1066.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 748.8,1084.0 L 749.5,1070.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-2\" d=\"M 761.4,1097.8 L 744.6,1086.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 745.7,1066.8 L 763.5,1057.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 763.5,1057.7 L 780.3,1068.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 763.9,1062.7 L 775.6,1070.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 780.3,1068.7 L 788.0,1064.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 788.0,1064.8 L 795.6,1060.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-11 atom-5\" d=\"M 779.3,1088.7 L 780.3,1068.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 800.9,1061.3 L 807.9,1065.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 807.9,1065.9 L 815.0,1070.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 800.8,1066.0 L 805.8,1069.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 805.8,1069.2 L 810.7,1072.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 815.0,1070.5 L 814.0,1090.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 814.0,1090.5 L 796.1,1099.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 809.5,1088.3 L 797.0,1094.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 796.1,1099.6 L 795.7,1107.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 795.7,1107.9 L 795.2,1116.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-11\" d=\"M 796.1,1099.6 L 779.3,1088.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 779.3,1088.7 L 761.4,1097.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 774.8,1086.5 L 762.3,1092.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 724.1 1095.9 Q 724.1 1094.6, 724.8 1093.8 Q 725.5 1093.1, 726.7 1093.1 Q 728.0 1093.1, 728.7 1093.8 Q 729.4 1094.6, 729.4 1095.9 Q 729.4 1097.3, 728.7 1098.1 Q 728.0 1098.9, 726.7 1098.9 Q 725.5 1098.9, 724.8 1098.1 Q 724.1 1097.3, 724.1 1095.9 M 726.7 1098.2 Q 727.6 1098.2, 728.1 1097.7 Q 728.6 1097.1, 728.6 1095.9 Q 728.6 1094.8, 728.1 1094.3 Q 727.6 1093.7, 726.7 1093.7 Q 725.9 1093.7, 725.4 1094.3 Q 724.9 1094.8, 724.9 1095.9 Q 724.9 1097.1, 725.4 1097.7 Q 725.9 1098.2, 726.7 1098.2 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-6\" d=\"M 797.0 1056.7 L 798.8 1059.7 Q 799.0 1060.0, 799.3 1060.6 Q 799.6 1061.1, 799.6 1061.1 L 799.6 1056.7 L 800.4 1056.7 L 800.4 1062.4 L 799.6 1062.4 L 797.6 1059.1 Q 797.4 1058.7, 797.1 1058.3 Q 796.9 1057.8, 796.8 1057.7 L 796.8 1062.4 L 796.1 1062.4 L 796.1 1056.7 L 797.0 1056.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 792.4 1119.6 Q 792.4 1118.3, 793.1 1117.5 Q 793.8 1116.7, 795.0 1116.7 Q 796.3 1116.7, 797.0 1117.5 Q 797.6 1118.3, 797.6 1119.6 Q 797.6 1121.0, 797.0 1121.8 Q 796.3 1122.6, 795.0 1122.6 Q 793.8 1122.6, 793.1 1121.8 Q 792.4 1121.0, 792.4 1119.6 M 795.0 1121.9 Q 795.9 1121.9, 796.4 1121.4 Q 796.8 1120.8, 796.8 1119.6 Q 796.8 1118.5, 796.4 1118.0 Q 795.9 1117.4, 795.0 1117.4 Q 794.2 1117.4, 793.7 1117.9 Q 793.2 1118.5, 793.2 1119.6 Q 793.2 1120.8, 793.7 1121.4 Q 794.2 1121.9, 795.0 1121.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-10\" d=\"M 798.3 1116.8 L 799.1 1116.8 L 799.1 1119.2 L 802.0 1119.2 L 802.0 1116.8 L 802.8 1116.8 L 802.8 1122.5 L 802.0 1122.5 L 802.0 1119.9 L 799.1 1119.9 L 799.1 1122.5 L 798.3 1122.5 L 798.3 1116.8 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 736.6,1061.8 L 741.3,1068.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 741.3,1068.2 L 746.0,1074.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 747.4,1081.3 L 744.9,1089.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 744.9,1089.2 L 742.4,1097.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 768.5,1077.8 L 759.8,1077.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 759.8,1077.8 L 751.1,1077.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 742.4,1097.0 L 749.3,1101.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 749.3,1101.9 L 756.1,1106.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 746.8,1095.3 L 751.6,1098.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 751.6,1098.7 L 756.4,1102.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 761.4,1106.7 L 768.1,1101.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 768.1,1101.8 L 774.9,1096.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 774.9,1096.8 L 794.5,1100.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 778.6,1093.5 L 792.4,1096.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-4\" d=\"M 768.5,1077.8 L 774.9,1096.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 794.5,1100.8 L 807.8,1085.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 807.8,1085.8 L 801.5,1066.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 803.1,1084.2 L 798.6,1070.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 801.5,1066.8 L 781.8,1062.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 781.8,1062.8 L 768.5,1077.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 782.8,1067.7 L 773.5,1078.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 747.2 1075.1 L 749.1 1078.1 Q 749.3 1078.4, 749.6 1078.9 Q 749.9 1079.5, 749.9 1079.5 L 749.9 1075.1 L 750.6 1075.1 L 750.6 1080.8 L 749.9 1080.8 L 747.9 1077.5 Q 747.6 1077.1, 747.4 1076.7 Q 747.1 1076.2, 747.1 1076.1 L 747.1 1080.8 L 746.3 1080.8 L 746.3 1075.1 L 747.2 1075.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-3\" d=\"M 757.5 1105.9 L 759.4 1108.9 Q 759.5 1109.2, 759.8 1109.7 Q 760.1 1110.2, 760.1 1110.3 L 760.1 1105.9 L 760.9 1105.9 L 760.9 1111.5 L 760.1 1111.5 L 758.1 1108.3 Q 757.9 1107.9, 757.6 1107.4 Q 757.4 1107.0, 757.3 1106.9 L 757.3 1111.5 L 756.6 1111.5 L 756.6 1105.9 L 757.5 1105.9 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 727.5 1179.4 L 730.0 1179.4 L 730.0 1171.0 L 727.3 1171.8 L 726.9 1170.9 L 730.4 1169.3 L 731.5 1169.5 L 731.5 1179.4 L 733.7 1179.4 L 733.7 1180.7 L 727.5 1180.7 L 727.5 1179.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 739.1 1168.3 L 740.5 1168.3 L 740.5 1183.8 L 739.1 1183.8 L 739.1 1168.3 \" fill=\"#000000\"/>\n",
@@ -4040,46 +4025,39 @@
        "<path d=\"M 788.0 1169.4 Q 789.9 1169.4, 790.9 1170.3 Q 791.9 1171.1, 791.9 1172.7 Q 791.9 1174.3, 790.9 1175.2 Q 789.9 1176.1, 788.0 1176.1 L 786.2 1176.1 L 786.2 1180.7 L 784.6 1180.7 L 784.6 1169.4 L 788.0 1169.4 M 788.0 1174.8 Q 789.1 1174.8, 789.7 1174.3 Q 790.3 1173.7, 790.3 1172.7 Q 790.3 1171.7, 789.7 1171.2 Q 789.1 1170.7, 788.0 1170.7 L 786.2 1170.7 L 786.2 1174.8 L 788.0 1174.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 792.4 1168.6 L 793.5 1168.6 L 793.5 1172.0 L 792.4 1172.0 L 792.4 1168.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 797.2 1168.3 L 797.2 1183.8 L 793.8 1183.8 L 793.8 1182.7 L 795.9 1182.7 L 795.9 1169.5 L 793.8 1169.5 L 793.8 1168.3 L 797.2 1168.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 941.5,1117.7 L 941.5,1109.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 941.5,1109.4 L 941.5,1101.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 941.5,1101.0 L 958.9,1091.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 942.1,1096.0 L 954.3,1089.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 924.2,1091.0 L 941.5,1101.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 958.9,1091.0 L 976.3,1101.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-7 atom-2\" d=\"M 958.9,1070.9 L 958.9,1091.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 976.3,1101.0 L 993.6,1091.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 976.9,1096.0 L 989.0,1089.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 993.6,1091.0 L 993.6,1082.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 993.6,1082.6 L 993.6,1074.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 991.0,1069.4 L 983.6,1065.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 983.6,1065.2 L 976.3,1060.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 986.8,1071.6 L 981.6,1068.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 981.6,1068.6 L 976.5,1065.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 976.3,1060.9 L 958.9,1070.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 958.9,1070.9 L 941.5,1060.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 954.3,1072.9 L 942.1,1065.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 941.5,1060.9 L 924.2,1070.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 924.2,1070.9 L 906.8,1060.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 919.6,1072.9 L 907.4,1065.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-14 atom-9\" d=\"M 924.2,1091.0 L 924.2,1070.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 906.8,1060.9 L 899.5,1065.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 899.5,1065.2 L 892.1,1069.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 889.4,1074.3 L 889.4,1082.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 889.4,1082.6 L 889.4,1091.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 893.5,1076.8 L 893.5,1082.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 893.5,1082.6 L 893.5,1088.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 889.4,1091.0 L 896.8,1095.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 896.8,1095.2 L 904.2,1099.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 909.5,1099.5 L 916.8,1095.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 916.8,1095.2 L 924.2,1091.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 909.7,1094.7 L 914.8,1091.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 914.8,1091.8 L 920.0,1088.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 940.3 1118.2 L 942.1 1121.2 Q 942.3 1121.5, 942.6 1122.1 Q 942.9 1122.6, 942.9 1122.6 L 942.9 1118.2 L 943.7 1118.2 L 943.7 1123.9 L 942.9 1123.9 L 940.9 1120.6 Q 940.7 1120.2, 940.4 1119.8 Q 940.2 1119.3, 940.1 1119.2 L 940.1 1123.9 L 939.4 1123.9 L 939.4 1118.2 L 940.3 1118.2 \" fill=\"#0000FF\"/>\n",
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-       "<path class=\"atom-5\" d=\"M 992.4 1068.1 L 994.2 1071.1 Q 994.4 1071.4, 994.7 1071.9 Q 995.0 1072.5, 995.0 1072.5 L 995.0 1068.1 L 995.8 1068.1 L 995.8 1073.8 L 995.0 1073.8 L 993.0 1070.5 Q 992.8 1070.1, 992.5 1069.7 Q 992.3 1069.2, 992.2 1069.1 L 992.2 1073.8 L 991.5 1073.8 L 991.5 1068.1 L 992.4 1068.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 888.2 1068.1 L 890.1 1071.1 Q 890.2 1071.4, 890.5 1071.9 Q 890.8 1072.5, 890.8 1072.5 L 890.8 1068.1 L 891.6 1068.1 L 891.6 1073.8 L 890.8 1073.8 L 888.8 1070.5 Q 888.6 1070.1, 888.3 1069.7 Q 888.1 1069.2, 888.0 1069.1 L 888.0 1073.8 L 887.3 1073.8 L 887.3 1068.1 L 888.2 1068.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-13\" d=\"M 905.6 1098.2 L 907.4 1101.2 Q 907.6 1101.5, 907.9 1102.0 Q 908.2 1102.5, 908.2 1102.6 L 908.2 1098.2 L 909.0 1098.2 L 909.0 1103.8 L 908.2 1103.8 L 906.2 1100.6 Q 906.0 1100.2, 905.7 1099.7 Q 905.5 1099.3, 905.4 1099.2 L 905.4 1103.8 L 904.7 1103.8 L 904.7 1098.2 L 905.6 1098.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 899.8,1097.6 L 918.1,1105.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 904.2,1095.2 L 917.0,1100.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-0\" d=\"M 901.5,1081.0 L 900.7,1089.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-0\" d=\"M 900.7,1089.3 L 899.8,1097.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 918.1,1105.8 L 931.5,1090.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 931.5,1090.9 L 921.5,1073.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-12 atom-10 atom-2\" d=\"M 951.6,1090.9 L 931.5,1090.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 921.5,1073.5 L 925.5,1066.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 925.5,1066.5 L 929.6,1059.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-3 atom-11\" d=\"M 921.5,1073.5 L 913.0,1075.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-3 atom-11\" d=\"M 913.0,1075.3 L 904.5,1077.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 934.2,1056.2 L 942.9,1056.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 942.9,1056.2 L 951.6,1056.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 936.8,1060.2 L 942.9,1060.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 942.9,1060.2 L 948.9,1060.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 951.6,1056.2 L 961.6,1073.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 961.6,1073.5 L 970.1,1075.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 970.1,1075.3 L 978.5,1077.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-10 atom-6\" d=\"M 951.6,1090.9 L 961.6,1073.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-10 atom-6\" d=\"M 949.6,1086.3 L 956.6,1074.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 981.5,1081.0 L 982.9,1094.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 977.8,1083.5 L 978.7,1092.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 980.6,1098.8 L 967.6,1104.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 962.3,1102.9 L 956.9,1096.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 956.9,1096.9 L 951.6,1090.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-4\" d=\"M 930.3 1053.3 L 932.1 1056.3 Q 932.3 1056.6, 932.6 1057.2 Q 932.9 1057.7, 932.9 1057.7 L 932.9 1053.3 L 933.7 1053.3 L 933.7 1059.0 L 932.9 1059.0 L 930.9 1055.7 Q 930.7 1055.3, 930.4 1054.9 Q 930.2 1054.5, 930.1 1054.3 L 930.1 1059.0 L 929.4 1059.0 L 929.4 1053.3 L 930.3 1053.3 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"atom-8\" d=\"M 982.0 1094.8 L 983.9 1097.8 Q 984.1 1098.1, 984.4 1098.6 Q 984.7 1099.2, 984.7 1099.2 L 984.7 1094.8 L 985.4 1094.8 L 985.4 1100.5 L 984.7 1100.5 L 982.7 1097.2 Q 982.4 1096.8, 982.2 1096.4 Q 981.9 1095.9, 981.9 1095.8 L 981.9 1100.5 L 981.1 1100.5 L 981.1 1094.8 L 982.0 1094.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 963.7 1103.0 L 965.6 1106.0 Q 965.8 1106.3, 966.1 1106.8 Q 966.4 1107.3, 966.4 1107.4 L 966.4 1103.0 L 967.1 1103.0 L 967.1 1108.6 L 966.3 1108.6 L 964.3 1105.4 Q 964.1 1105.0, 963.9 1104.5 Q 963.6 1104.1, 963.6 1103.9 L 963.6 1108.6 L 962.8 1108.6 L 962.8 1103.0 L 963.7 1103.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 962.7 1109.2 L 963.5 1109.2 L 963.5 1111.6 L 966.4 1111.6 L 966.4 1109.2 L 967.2 1109.2 L 967.2 1114.9 L 966.4 1114.9 L 966.4 1112.3 L 963.5 1112.3 L 963.5 1114.9 L 962.7 1114.9 L 962.7 1109.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 894.6 1074.9 L 895.4 1074.9 L 895.4 1077.3 L 898.3 1077.3 L 898.3 1074.9 L 899.1 1074.9 L 899.1 1080.5 L 898.3 1080.5 L 898.3 1077.9 L 895.4 1077.9 L 895.4 1080.5 L 894.6 1080.5 L 894.6 1074.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 900.6 1074.9 L 902.5 1077.9 Q 902.7 1078.2, 903.0 1078.7 Q 903.3 1079.2, 903.3 1079.3 L 903.3 1074.9 L 904.0 1074.9 L 904.0 1080.5 L 903.3 1080.5 L 901.3 1077.3 Q 901.0 1076.9, 900.8 1076.4 Q 900.5 1076.0, 900.5 1075.9 L 900.5 1080.5 L 899.7 1080.5 L 899.7 1074.9 L 900.6 1074.9 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 897.5 1179.4 L 900.0 1179.4 L 900.0 1171.0 L 897.3 1171.8 L 896.9 1170.9 L 900.4 1169.3 L 901.5 1169.5 L 901.5 1179.4 L 903.7 1179.4 L 903.7 1180.7 L 897.5 1180.7 L 897.5 1179.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 909.1 1168.3 L 910.5 1168.3 L 910.5 1183.8 L 909.1 1183.8 L 909.1 1168.3 \" fill=\"#000000\"/>\n",
@@ -4095,44 +4073,38 @@
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        "<path d=\"M 962.4 1168.6 L 963.5 1168.6 L 963.5 1172.0 L 962.4 1172.0 L 962.4 1168.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1147.8,1065.0 L 1140.3,1069.3\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1140.3,1069.3 L 1132.9,1073.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1132.9,1073.6 L 1132.9,1093.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1128.9,1076.6 L 1128.9,1090.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-11 atom-1\" d=\"M 1115.5,1063.6 L 1132.9,1073.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1132.9,1093.7 L 1140.3,1098.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1140.3,1098.0 L 1147.8,1102.3\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-2 atom-4\" d=\"M 1132.9,1093.7 L 1115.5,1103.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1115.5,1103.7 L 1115.5,1112.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1115.5,1112.0 L 1115.5,1120.4\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 1115.5,1103.7 L 1098.1,1093.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 1114.9,1098.7 L 1102.8,1091.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1098.1,1093.7 L 1089.9,1096.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1089.9,1096.3 L 1081.7,1099.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-10 atom-6\" d=\"M 1098.1,1073.6 L 1098.1,1093.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1076.6,1096.5 L 1072.0,1090.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1072.0,1090.1 L 1067.3,1083.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1067.3,1083.6 L 1072.0,1077.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1072.0,1077.2 L 1076.6,1070.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1071.9,1084.1 L 1075.2,1079.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1075.2,1079.5 L 1078.5,1075.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1081.7,1068.3 L 1089.9,1070.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1089.9,1070.9 L 1098.1,1073.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1098.1,1073.6 L 1115.5,1063.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1102.8,1075.6 L 1114.9,1068.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1115.5,1063.6 L 1115.5,1055.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1115.5,1055.2 L 1115.5,1046.9\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1151.1 1063.4 Q 1151.6 1063.6, 1151.9 1063.9 Q 1152.2 1064.3, 1152.2 1064.7 Q 1152.2 1065.5, 1151.7 1066.0 Q 1151.2 1066.4, 1150.2 1066.4 L 1148.3 1066.4 L 1148.3 1060.7 L 1150.0 1060.7 Q 1150.9 1060.7, 1151.4 1061.1 Q 1151.9 1061.5, 1151.9 1062.2 Q 1151.9 1063.1, 1151.1 1063.4 M 1149.1 1061.4 L 1149.1 1063.2 L 1150.0 1063.2 Q 1150.5 1063.2, 1150.8 1062.9 Q 1151.1 1062.7, 1151.1 1062.2 Q 1151.1 1061.4, 1150.0 1061.4 L 1149.1 1061.4 M 1150.2 1065.8 Q 1150.8 1065.8, 1151.1 1065.5 Q 1151.4 1065.2, 1151.4 1064.7 Q 1151.4 1064.3, 1151.0 1064.0 Q 1150.7 1063.8, 1150.1 1063.8 L 1149.1 1063.8 L 1149.1 1065.8 L 1150.2 1065.8 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1153.4 1062.3 L 1153.5 1062.9 Q 1154.0 1062.2, 1154.7 1062.2 Q 1154.9 1062.2, 1155.2 1062.3 L 1155.1 1063.0 Q 1154.7 1062.9, 1154.5 1062.9 Q 1154.2 1062.9, 1154.0 1063.0 Q 1153.8 1063.2, 1153.6 1063.5 L 1153.6 1066.4 L 1152.8 1066.4 L 1152.8 1062.3 L 1153.4 1062.3 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-3\" d=\"M 1151.1 1103.5 Q 1151.6 1103.7, 1151.9 1104.0 Q 1152.2 1104.3, 1152.2 1104.8 Q 1152.2 1105.6, 1151.7 1106.1 Q 1151.2 1106.5, 1150.2 1106.5 L 1148.3 1106.5 L 1148.3 1100.8 L 1150.0 1100.8 Q 1150.9 1100.8, 1151.4 1101.2 Q 1151.9 1101.6, 1151.9 1102.3 Q 1151.9 1103.2, 1151.1 1103.5 M 1149.1 1101.5 L 1149.1 1103.3 L 1150.0 1103.3 Q 1150.5 1103.3, 1150.8 1103.0 Q 1151.1 1102.8, 1151.1 1102.3 Q 1151.1 1101.5, 1150.0 1101.5 L 1149.1 1101.5 M 1150.2 1105.9 Q 1150.8 1105.9, 1151.1 1105.6 Q 1151.4 1105.3, 1151.4 1104.8 Q 1151.4 1104.4, 1151.0 1104.1 Q 1150.7 1103.9, 1150.1 1103.9 L 1149.1 1103.9 L 1149.1 1105.9 L 1150.2 1105.9 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-3\" d=\"M 1153.4 1102.4 L 1153.5 1103.0 Q 1154.0 1102.3, 1154.7 1102.3 Q 1154.9 1102.3, 1155.2 1102.4 L 1155.1 1103.1 Q 1154.7 1103.0, 1154.5 1103.0 Q 1154.2 1103.0, 1154.0 1103.1 Q 1153.8 1103.3, 1153.6 1103.6 L 1153.6 1106.5 L 1152.8 1106.5 L 1152.8 1102.4 L 1153.4 1102.4 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-5\" d=\"M 1116.3 1123.6 Q 1116.9 1123.7, 1117.2 1124.1 Q 1117.4 1124.4, 1117.4 1124.9 Q 1117.4 1125.7, 1116.9 1126.1 Q 1116.4 1126.6, 1115.5 1126.6 L 1113.6 1126.6 L 1113.6 1120.9 L 1115.3 1120.9 Q 1116.2 1120.9, 1116.7 1121.3 Q 1117.2 1121.7, 1117.2 1122.4 Q 1117.2 1123.3, 1116.3 1123.6 M 1114.3 1121.5 L 1114.3 1123.3 L 1115.3 1123.3 Q 1115.8 1123.3, 1116.1 1123.1 Q 1116.4 1122.8, 1116.4 1122.4 Q 1116.4 1121.5, 1115.3 1121.5 L 1114.3 1121.5 M 1115.5 1125.9 Q 1116.0 1125.9, 1116.3 1125.7 Q 1116.6 1125.4, 1116.6 1124.9 Q 1116.6 1124.4, 1116.3 1124.2 Q 1116.0 1123.9, 1115.4 1123.9 L 1114.3 1123.9 L 1114.3 1125.9 L 1115.5 1125.9 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-5\" d=\"M 1118.7 1122.4 L 1118.8 1123.0 Q 1119.2 1122.4, 1119.9 1122.4 Q 1120.2 1122.4, 1120.5 1122.4 L 1120.4 1123.1 Q 1120.0 1123.0, 1119.8 1123.0 Q 1119.5 1123.0, 1119.3 1123.2 Q 1119.0 1123.3, 1118.9 1123.6 L 1118.9 1126.6 L 1118.1 1126.6 L 1118.1 1122.4 L 1118.7 1122.4 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-7\" d=\"M 1077.8 1097.0 L 1079.7 1100.0 Q 1079.9 1100.3, 1080.2 1100.8 Q 1080.5 1101.4, 1080.5 1101.4 L 1080.5 1097.0 L 1081.2 1097.0 L 1081.2 1102.7 L 1080.5 1102.7 L 1078.5 1099.4 Q 1078.2 1099.0, 1078.0 1098.6 Q 1077.7 1098.1, 1077.7 1098.0 L 1077.7 1102.7 L 1076.9 1102.7 L 1076.9 1097.0 L 1077.8 1097.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 1076.9 1103.3 L 1077.6 1103.3 L 1077.6 1105.7 L 1080.5 1105.7 L 1080.5 1103.3 L 1081.3 1103.3 L 1081.3 1108.9 L 1080.5 1108.9 L 1080.5 1106.3 L 1077.6 1106.3 L 1077.6 1108.9 L 1076.9 1108.9 L 1076.9 1103.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 1077.8 1064.6 L 1079.7 1067.6 Q 1079.9 1067.9, 1080.2 1068.4 Q 1080.5 1068.9, 1080.5 1069.0 L 1080.5 1064.6 L 1081.2 1064.6 L 1081.2 1070.2 L 1080.5 1070.2 L 1078.5 1067.0 Q 1078.2 1066.6, 1078.0 1066.1 Q 1077.7 1065.7, 1077.7 1065.6 L 1077.7 1070.2 L 1076.9 1070.2 L 1076.9 1064.6 L 1077.8 1064.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-12\" d=\"M 1116.3 1043.4 Q 1116.9 1043.5, 1117.2 1043.9 Q 1117.4 1044.2, 1117.4 1044.7 Q 1117.4 1045.5, 1116.9 1045.9 Q 1116.4 1046.4, 1115.5 1046.4 L 1113.6 1046.4 L 1113.6 1040.7 L 1115.3 1040.7 Q 1116.2 1040.7, 1116.7 1041.1 Q 1117.2 1041.5, 1117.2 1042.2 Q 1117.2 1043.1, 1116.3 1043.4 M 1114.3 1041.3 L 1114.3 1043.1 L 1115.3 1043.1 Q 1115.8 1043.1, 1116.1 1042.9 Q 1116.4 1042.7, 1116.4 1042.2 Q 1116.4 1041.3, 1115.3 1041.3 L 1114.3 1041.3 M 1115.5 1045.7 Q 1116.0 1045.7, 1116.3 1045.5 Q 1116.6 1045.2, 1116.6 1044.7 Q 1116.6 1044.2, 1116.3 1044.0 Q 1116.0 1043.8, 1115.4 1043.8 L 1114.3 1043.8 L 1114.3 1045.7 L 1115.5 1045.7 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-12\" d=\"M 1118.7 1042.2 L 1118.8 1042.8 Q 1119.2 1042.2, 1119.9 1042.2 Q 1120.2 1042.2, 1120.5 1042.3 L 1120.4 1042.9 Q 1120.0 1042.9, 1119.8 1042.9 Q 1119.5 1042.9, 1119.3 1043.0 Q 1119.0 1043.1, 1118.9 1043.4 L 1118.9 1046.4 L 1118.1 1046.4 L 1118.1 1042.2 L 1118.7 1042.2 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1086.9,1055.5 L 1088.7,1063.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1088.7,1063.5 L 1090.5,1071.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1090.8,1054.6 L 1092.6,1062.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1092.6,1062.7 L 1094.5,1070.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1092.5,1071.1 L 1086.5,1076.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1086.5,1076.7 L 1080.5,1082.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 1111.7,1077.1 L 1092.5,1071.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1078.6,1088.1 L 1080.4,1096.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1080.4,1096.2 L 1082.3,1104.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1082.3,1104.3 L 1101.4,1110.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1086.3,1101.4 L 1099.7,1105.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1101.4,1110.2 L 1116.1,1096.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1116.1,1096.6 L 1135.3,1102.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1120.2,1093.7 L 1133.6,1097.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 1111.7,1077.1 L 1116.1,1096.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1135.3,1102.5 L 1141.3,1096.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1141.3,1096.9 L 1147.3,1091.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1149.2,1085.5 L 1147.4,1077.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1147.4,1077.4 L 1145.5,1069.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1144.7,1084.0 L 1143.4,1078.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1143.4,1078.3 L 1142.2,1072.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1145.5,1069.3 L 1137.3,1066.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1137.3,1066.8 L 1129.0,1064.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1123.7,1065.9 L 1117.7,1071.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1117.7,1071.5 L 1111.7,1077.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1124.6,1070.5 L 1120.4,1074.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1120.4,1074.4 L 1116.2,1078.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1085.4 1051.6 Q 1085.4 1050.3, 1086.1 1049.5 Q 1086.8 1048.7, 1088.0 1048.7 Q 1089.3 1048.7, 1090.0 1049.5 Q 1090.6 1050.3, 1090.6 1051.6 Q 1090.6 1053.0, 1090.0 1053.8 Q 1089.3 1054.6, 1088.0 1054.6 Q 1086.8 1054.6, 1086.1 1053.8 Q 1085.4 1053.0, 1085.4 1051.6 M 1088.0 1053.9 Q 1088.9 1053.9, 1089.4 1053.3 Q 1089.8 1052.8, 1089.8 1051.6 Q 1089.8 1050.5, 1089.4 1049.9 Q 1088.9 1049.4, 1088.0 1049.4 Q 1087.2 1049.4, 1086.7 1049.9 Q 1086.2 1050.5, 1086.2 1051.6 Q 1086.2 1052.8, 1086.7 1053.3 Q 1087.2 1053.9, 1088.0 1053.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-2\" d=\"M 1070.5 1081.9 L 1071.3 1081.9 L 1071.3 1084.4 L 1074.2 1084.4 L 1074.2 1081.9 L 1075.0 1081.9 L 1075.0 1087.6 L 1074.2 1087.6 L 1074.2 1085.0 L 1071.3 1085.0 L 1071.3 1087.6 L 1070.5 1087.6 L 1070.5 1081.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 1076.5 1081.9 L 1078.4 1084.9 Q 1078.6 1085.2, 1078.9 1085.8 Q 1079.2 1086.3, 1079.2 1086.4 L 1079.2 1081.9 L 1080.0 1081.9 L 1080.0 1087.6 L 1079.2 1087.6 L 1077.2 1084.3 Q 1076.9 1083.9, 1076.7 1083.5 Q 1076.5 1083.1, 1076.4 1082.9 L 1076.4 1087.6 L 1075.6 1087.6 L 1075.6 1081.9 L 1076.5 1081.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 1148.7 1086.0 L 1150.6 1089.1 Q 1150.8 1089.3, 1151.1 1089.9 Q 1151.3 1090.4, 1151.4 1090.5 L 1151.4 1086.0 L 1152.1 1086.0 L 1152.1 1091.7 L 1151.3 1091.7 L 1149.3 1088.4 Q 1149.1 1088.0, 1148.9 1087.6 Q 1148.6 1087.2, 1148.5 1087.0 L 1148.5 1091.7 L 1147.8 1091.7 L 1147.8 1086.0 L 1148.7 1086.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 1125.1 1060.6 L 1127.0 1063.6 Q 1127.1 1063.9, 1127.4 1064.4 Q 1127.7 1065.0, 1127.8 1065.0 L 1127.8 1060.6 L 1128.5 1060.6 L 1128.5 1066.3 L 1127.7 1066.3 L 1125.7 1063.0 Q 1125.5 1062.6, 1125.2 1062.1 Q 1125.0 1061.7, 1124.9 1061.6 L 1124.9 1066.3 L 1124.2 1066.3 L 1124.2 1060.6 L 1125.1 1060.6 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1067.5 1179.4 L 1070.0 1179.4 L 1070.0 1171.0 L 1067.3 1171.8 L 1066.9 1170.9 L 1070.4 1169.3 L 1071.5 1169.5 L 1071.5 1179.4 L 1073.7 1179.4 L 1073.7 1180.7 L 1067.5 1180.7 L 1067.5 1179.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 1168.3 L 1080.5 1168.3 L 1080.5 1183.8 L 1079.1 1183.8 L 1079.1 1168.3 \" fill=\"#000000\"/>\n",
@@ -4148,39 +4120,41 @@
        "<path d=\"M 1128.0 1169.4 Q 1129.9 1169.4, 1130.9 1170.3 Q 1131.9 1171.1, 1131.9 1172.7 Q 1131.9 1174.3, 1130.9 1175.2 Q 1129.9 1176.1, 1128.0 1176.1 L 1126.2 1176.1 L 1126.2 1180.7 L 1124.6 1180.7 L 1124.6 1169.4 L 1128.0 1169.4 M 1128.0 1174.8 Q 1129.1 1174.8, 1129.7 1174.3 Q 1130.3 1173.7, 1130.3 1172.7 Q 1130.3 1171.7, 1129.7 1171.2 Q 1129.1 1170.7, 1128.0 1170.7 L 1126.2 1170.7 L 1126.2 1174.8 L 1128.0 1174.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.4 1168.6 L 1133.5 1168.6 L 1133.5 1172.0 L 1132.4 1172.0 L 1132.4 1168.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 25.7,1250.8 L 34.1,1249.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 34.1,1249.5 L 42.4,1248.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 25.1,1246.8 L 33.5,1245.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 33.5,1245.6 L 41.8,1244.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 57.3,1261.6 L 65.8,1260.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 74.4,1259.1 L 80.1,1264.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 80.1,1264.9 L 85.8,1270.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 79.0,1258.0 L 83.0,1262.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 83.0,1262.1 L 87.0,1266.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-3\" d=\"M 82.0,1244.7 L 78.2,1251.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-3\" d=\"M 78.2,1251.9 L 74.4,1259.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 91.1,1272.1 L 98.8,1268.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 98.8,1268.3 L 106.4,1264.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 106.4,1264.5 L 125.1,1271.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 110.7,1261.9 L 123.7,1267.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 103.5,1244.6 L 106.4,1264.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 125.1,1271.9 L 140.8,1259.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 140.8,1259.4 L 137.8,1239.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 136.4,1257.0 L 134.3,1243.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 137.8,1239.6 L 119.2,1232.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 119.2,1232.2 L 103.5,1244.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 119.3,1237.2 L 108.3,1245.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 103.5,1244.6 L 94.9,1243.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 94.9,1243.2 L 86.4,1241.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 19.7 1249.3 Q 19.7 1247.9, 20.4 1247.2 Q 21.0 1246.4, 22.3 1246.4 Q 23.6 1246.4, 24.2 1247.2 Q 24.9 1247.9, 24.9 1249.3 Q 24.9 1250.7, 24.2 1251.4 Q 23.6 1252.2, 22.3 1252.2 Q 21.1 1252.2, 20.4 1251.4 Q 19.7 1250.7, 19.7 1249.3 M 22.3 1251.6 Q 23.2 1251.6, 23.6 1251.0 Q 24.1 1250.4, 24.1 1249.3 Q 24.1 1248.2, 23.6 1247.6 Q 23.2 1247.0, 22.3 1247.0 Q 21.4 1247.0, 21.0 1247.6 Q 20.5 1248.2, 20.5 1249.3 Q 20.5 1250.4, 21.0 1251.0 Q 21.4 1251.6, 22.3 1251.6 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 47.3 1259.2 L 48.1 1259.2 L 48.1 1261.6 L 51.0 1261.6 L 51.0 1259.2 L 51.8 1259.2 L 51.8 1264.9 L 51.0 1264.9 L 51.0 1262.2 L 48.1 1262.2 L 48.1 1264.9 L 47.3 1264.9 L 47.3 1259.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 53.3 1259.2 L 55.2 1262.2 Q 55.4 1262.5, 55.7 1263.0 Q 56.0 1263.6, 56.0 1263.6 L 56.0 1259.2 L 56.8 1259.2 L 56.8 1264.9 L 56.0 1264.9 L 54.0 1261.6 Q 53.7 1261.2, 53.5 1260.8 Q 53.3 1260.3, 53.2 1260.2 L 53.2 1264.9 L 52.4 1264.9 L 52.4 1259.2 L 53.3 1259.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 87.2 1270.6 L 89.1 1273.6 Q 89.3 1273.9, 89.6 1274.4 Q 89.8 1274.9, 89.9 1275.0 L 89.9 1270.6 L 90.6 1270.6 L 90.6 1276.2 L 89.8 1276.2 L 87.8 1273.0 Q 87.6 1272.6, 87.4 1272.1 Q 87.1 1271.7, 87.1 1271.6 L 87.1 1276.2 L 86.3 1276.2 L 86.3 1270.6 L 87.2 1270.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 76.4 1238.5 L 77.2 1238.5 L 77.2 1240.9 L 80.1 1240.9 L 80.1 1238.5 L 80.9 1238.5 L 80.9 1244.2 L 80.1 1244.2 L 80.1 1241.5 L 77.2 1241.5 L 77.2 1244.2 L 76.4 1244.2 L 76.4 1238.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 82.5 1238.5 L 84.3 1241.5 Q 84.5 1241.8, 84.8 1242.3 Q 85.1 1242.9, 85.1 1242.9 L 85.1 1238.5 L 85.9 1238.5 L 85.9 1244.2 L 85.1 1244.2 L 83.1 1240.9 Q 82.9 1240.5, 82.6 1240.0 Q 82.4 1239.6, 82.3 1239.5 L 82.3 1244.2 L 81.6 1244.2 L 81.6 1238.5 L 82.5 1238.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 49.8,1267.6 L 68.1,1275.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 54.2,1265.2 L 67.0,1270.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-0\" d=\"M 51.5,1251.0 L 50.7,1259.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-0\" d=\"M 50.7,1259.3 L 49.8,1267.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 68.1,1275.8 L 81.5,1260.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 81.5,1260.9 L 71.5,1243.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 76.5,1260.3 L 69.5,1248.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-2\" d=\"M 101.6,1260.9 L 81.5,1260.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 71.5,1243.5 L 75.5,1236.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 75.5,1236.5 L 79.6,1229.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-3 atom-11\" d=\"M 71.5,1243.5 L 63.0,1245.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-3 atom-11\" d=\"M 63.0,1245.3 L 54.5,1247.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 84.2,1226.2 L 92.9,1226.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 92.9,1226.2 L 101.6,1226.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 86.8,1230.2 L 92.9,1230.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 92.9,1230.2 L 98.9,1230.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 101.6,1226.2 L 111.6,1243.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 111.6,1243.5 L 120.1,1245.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 120.1,1245.3 L 128.5,1247.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-10 atom-6\" d=\"M 101.6,1260.9 L 111.6,1243.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-10 atom-6\" d=\"M 99.6,1256.3 L 106.6,1244.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 131.5,1251.0 L 132.4,1259.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 132.4,1259.3 L 133.3,1267.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 127.8,1254.0 L 128.4,1259.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 128.4,1259.8 L 129.0,1265.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 133.3,1267.6 L 125.5,1271.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 125.5,1271.1 L 117.6,1274.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 112.3,1272.9 L 106.9,1266.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 106.9,1266.9 L 101.6,1260.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-4\" d=\"M 80.3 1223.3 L 82.1 1226.3 Q 82.3 1226.6, 82.6 1227.2 Q 82.9 1227.7, 82.9 1227.7 L 82.9 1223.3 L 83.7 1223.3 L 83.7 1229.0 L 82.9 1229.0 L 80.9 1225.7 Q 80.7 1225.3, 80.4 1224.9 Q 80.2 1224.5, 80.1 1224.3 L 80.1 1229.0 L 79.4 1229.0 L 79.4 1223.3 L 80.3 1223.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 129.9 1244.9 L 131.8 1247.9 Q 132.0 1248.2, 132.3 1248.7 Q 132.6 1249.2, 132.6 1249.3 L 132.6 1244.9 L 133.3 1244.9 L 133.3 1250.5 L 132.6 1250.5 L 130.6 1247.3 Q 130.3 1246.9, 130.1 1246.4 Q 129.8 1246.0, 129.8 1245.9 L 129.8 1250.5 L 129.0 1250.5 L 129.0 1244.9 L 129.9 1244.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 113.7 1273.0 L 115.6 1276.0 Q 115.8 1276.3, 116.1 1276.8 Q 116.4 1277.3, 116.4 1277.4 L 116.4 1273.0 L 117.1 1273.0 L 117.1 1278.6 L 116.3 1278.6 L 114.3 1275.4 Q 114.1 1275.0, 113.9 1274.5 Q 113.6 1274.1, 113.6 1273.9 L 113.6 1278.6 L 112.8 1278.6 L 112.8 1273.0 L 113.7 1273.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 112.7 1279.2 L 113.5 1279.2 L 113.5 1281.6 L 116.4 1281.6 L 116.4 1279.2 L 117.2 1279.2 L 117.2 1284.9 L 116.4 1284.9 L 116.4 1282.3 L 113.5 1282.3 L 113.5 1284.9 L 112.7 1284.9 L 112.7 1279.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 44.6 1244.9 L 45.4 1244.9 L 45.4 1247.3 L 48.3 1247.3 L 48.3 1244.9 L 49.1 1244.9 L 49.1 1250.5 L 48.3 1250.5 L 48.3 1247.9 L 45.4 1247.9 L 45.4 1250.5 L 44.6 1250.5 L 44.6 1244.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 50.6 1244.9 L 52.5 1247.9 Q 52.7 1248.2, 53.0 1248.7 Q 53.3 1249.2, 53.3 1249.3 L 53.3 1244.9 L 54.0 1244.9 L 54.0 1250.5 L 53.3 1250.5 L 51.3 1247.3 Q 51.0 1246.9, 50.8 1246.4 Q 50.5 1246.0, 50.5 1245.9 L 50.5 1250.5 L 49.7 1250.5 L 49.7 1244.9 L 50.6 1244.9 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 1349.4 L 50.0 1349.4 L 50.0 1341.0 L 47.3 1341.8 L 46.9 1340.9 L 50.4 1339.3 L 51.5 1339.5 L 51.5 1349.4 L 53.7 1349.4 L 53.7 1350.7 L 47.5 1350.7 L 47.5 1349.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 1338.3 L 60.5 1338.3 L 60.5 1353.8 L 59.1 1353.8 L 59.1 1338.3 \" fill=\"#000000\"/>\n",
@@ -4196,41 +4170,42 @@
        "<path d=\"M 108.0 1339.4 Q 109.9 1339.4, 110.9 1340.3 Q 111.9 1341.1, 111.9 1342.7 Q 111.9 1344.3, 110.9 1345.2 Q 109.9 1346.1, 108.0 1346.1 L 106.2 1346.1 L 106.2 1350.7 L 104.6 1350.7 L 104.6 1339.4 L 108.0 1339.4 M 108.0 1344.8 Q 109.1 1344.8, 109.7 1344.3 Q 110.3 1343.7, 110.3 1342.7 Q 110.3 1341.7, 109.7 1341.2 Q 109.1 1340.7, 108.0 1340.7 L 106.2 1340.7 L 106.2 1344.8 L 108.0 1344.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 112.4 1338.6 L 113.5 1338.6 L 113.5 1342.0 L 112.4 1342.0 L 112.4 1338.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 1338.3 L 117.2 1353.8 L 113.8 1353.8 L 113.8 1352.7 L 115.9 1352.7 L 115.9 1339.5 L 113.8 1339.5 L 113.8 1338.3 L 117.2 1338.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 199.3,1264.4 L 207.5,1261.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 207.5,1261.9 L 215.8,1259.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 200.5,1268.3 L 207.5,1266.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 207.5,1266.1 L 214.5,1264.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 198.1,1260.6 L 205.1,1258.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 205.1,1258.5 L 212.2,1256.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 215.8,1259.4 L 235.0,1253.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 235.0,1253.5 L 239.5,1234.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 239.6,1251.5 L 242.7,1237.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-2\" d=\"M 249.6,1267.2 L 235.0,1253.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 239.5,1234.0 L 258.6,1228.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 258.6,1228.1 L 273.3,1241.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 258.1,1233.1 L 268.4,1242.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 273.3,1241.8 L 282.0,1241.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 282.0,1241.0 L 290.6,1240.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 268.8,1261.3 L 273.3,1241.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 294.7,1243.4 L 297.9,1250.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 297.9,1250.9 L 301.1,1258.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 292.0,1247.2 L 294.2,1252.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 294.2,1252.5 L 296.5,1257.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 301.1,1258.5 L 309.6,1260.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 309.6,1260.4 L 318.0,1262.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 301.1,1258.5 L 294.9,1263.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 294.9,1263.9 L 288.7,1269.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 283.3,1270.0 L 276.1,1265.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 276.1,1265.7 L 268.8,1261.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 268.8,1261.3 L 249.6,1267.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 264.8,1258.4 L 251.3,1262.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 195.4 1262.4 L 197.2 1265.4 Q 197.4 1265.7, 197.7 1266.3 Q 198.0 1266.8, 198.0 1266.8 L 198.0 1262.4 L 198.8 1262.4 L 198.8 1268.1 L 198.0 1268.1 L 196.0 1264.8 Q 195.8 1264.4, 195.5 1264.0 Q 195.3 1263.5, 195.2 1263.4 L 195.2 1268.1 L 194.5 1268.1 L 194.5 1262.4 L 195.4 1262.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 292.0 1237.2 L 293.9 1240.2 Q 294.1 1240.5, 294.4 1241.0 Q 294.7 1241.6, 294.7 1241.6 L 294.7 1237.2 L 295.4 1237.2 L 295.4 1242.9 L 294.7 1242.9 L 292.7 1239.6 Q 292.4 1239.2, 292.2 1238.7 Q 291.9 1238.3, 291.9 1238.2 L 291.9 1242.9 L 291.1 1242.9 L 291.1 1237.2 L 292.0 1237.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 319.4 1260.1 L 321.3 1263.1 Q 321.5 1263.4, 321.7 1264.0 Q 322.0 1264.5, 322.1 1264.5 L 322.1 1260.1 L 322.8 1260.1 L 322.8 1265.8 L 322.0 1265.8 L 320.0 1262.5 Q 319.8 1262.1, 319.6 1261.7 Q 319.3 1261.2, 319.2 1261.1 L 319.2 1265.8 L 318.5 1265.8 L 318.5 1260.1 L 319.4 1260.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 323.5 1260.1 L 324.3 1260.1 L 324.3 1262.5 L 327.2 1262.5 L 327.2 1260.1 L 327.9 1260.1 L 327.9 1265.8 L 327.2 1265.8 L 327.2 1263.2 L 324.3 1263.2 L 324.3 1265.8 L 323.5 1265.8 L 323.5 1260.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 328.2 1265.6 Q 328.4 1265.3, 328.7 1265.1 Q 329.0 1264.9, 329.5 1264.9 Q 330.0 1264.9, 330.3 1265.2 Q 330.7 1265.5, 330.7 1266.0 Q 330.7 1266.6, 330.3 1267.1 Q 329.8 1267.6, 329.0 1268.2 L 330.7 1268.2 L 330.7 1268.6 L 328.2 1268.6 L 328.2 1268.3 Q 328.9 1267.8, 329.3 1267.4 Q 329.7 1267.1, 329.9 1266.7 Q 330.1 1266.4, 330.1 1266.0 Q 330.1 1265.7, 330.0 1265.5 Q 329.8 1265.3, 329.5 1265.3 Q 329.2 1265.3, 329.0 1265.4 Q 328.8 1265.5, 328.6 1265.8 L 328.2 1265.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 284.7 1268.8 L 286.6 1271.8 Q 286.8 1272.1, 287.1 1272.6 Q 287.4 1273.2, 287.4 1273.2 L 287.4 1268.8 L 288.2 1268.8 L 288.2 1274.5 L 287.4 1274.5 L 285.4 1271.2 Q 285.1 1270.8, 284.9 1270.3 Q 284.7 1269.9, 284.6 1269.8 L 284.6 1274.5 L 283.8 1274.5 L 283.8 1268.8 L 284.7 1268.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 283.8 1275.0 L 284.6 1275.0 L 284.6 1277.4 L 287.5 1277.4 L 287.5 1275.0 L 288.2 1275.0 L 288.2 1280.7 L 287.5 1280.7 L 287.5 1278.1 L 284.6 1278.1 L 284.6 1280.7 L 283.8 1280.7 L 283.8 1275.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 318.8,1240.0 L 300.2,1247.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 300.2,1247.2 L 298.0,1255.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 298.0,1255.3 L 295.9,1263.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 295.6,1248.6 L 294.2,1254.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 294.2,1254.2 L 292.7,1259.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-1\" d=\"M 285.9,1238.1 L 293.0,1242.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-1\" d=\"M 293.0,1242.7 L 300.2,1247.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 292.4,1266.8 L 283.7,1267.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 283.7,1267.3 L 275.0,1267.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 275.0,1267.8 L 262.5,1283.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 270.0,1267.6 L 261.3,1278.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-11 atom-3\" d=\"M 267.8,1249.1 L 275.0,1267.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 262.5,1283.4 L 253.9,1282.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 253.9,1282.1 L 245.3,1280.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 241.4,1277.0 L 238.4,1269.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 238.4,1269.4 L 235.4,1261.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 244.2,1273.3 L 242.1,1267.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 242.1,1267.9 L 240.0,1262.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 235.4,1261.7 L 227.4,1258.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 227.4,1258.7 L 219.3,1255.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-10 atom-6\" d=\"M 247.9,1246.1 L 235.4,1261.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 216.8,1251.3 L 217.2,1242.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 217.2,1242.9 L 217.6,1234.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 217.6,1234.6 L 236.9,1229.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 221.6,1237.7 L 235.1,1234.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 236.9,1229.3 L 247.9,1246.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 247.9,1246.1 L 267.8,1249.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 250.3,1250.5 L 264.2,1252.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 267.8,1249.1 L 274.2,1243.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 274.2,1243.8 L 280.6,1238.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-2\" d=\"M 293.8 1263.8 L 295.7 1266.8 Q 295.9 1267.1, 296.1 1267.6 Q 296.4 1268.2, 296.5 1268.2 L 296.5 1263.8 L 297.2 1263.8 L 297.2 1269.5 L 296.4 1269.5 L 294.4 1266.2 Q 294.2 1265.8, 294.0 1265.3 Q 293.7 1264.9, 293.6 1264.8 L 293.6 1269.5 L 292.9 1269.5 L 292.9 1263.8 L 293.8 1263.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 241.4 1277.5 L 243.3 1280.6 Q 243.5 1280.9, 243.8 1281.4 Q 244.1 1281.9, 244.1 1282.0 L 244.1 1277.5 L 244.8 1277.5 L 244.8 1283.2 L 244.1 1283.2 L 242.1 1279.9 Q 241.8 1279.6, 241.6 1279.1 Q 241.4 1278.7, 241.3 1278.5 L 241.3 1283.2 L 240.5 1283.2 L 240.5 1277.5 L 241.4 1277.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 209.4 1251.8 L 210.2 1251.8 L 210.2 1254.2 L 213.1 1254.2 L 213.1 1251.8 L 213.8 1251.8 L 213.8 1257.5 L 213.1 1257.5 L 213.1 1254.8 L 210.2 1254.8 L 210.2 1257.5 L 209.4 1257.5 L 209.4 1251.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 215.4 1251.8 L 217.3 1254.8 Q 217.5 1255.1, 217.7 1255.6 Q 218.0 1256.2, 218.1 1256.2 L 218.1 1251.8 L 218.8 1251.8 L 218.8 1257.5 L 218.0 1257.5 L 216.0 1254.2 Q 215.8 1253.8, 215.6 1253.3 Q 215.3 1252.9, 215.2 1252.8 L 215.2 1257.5 L 214.5 1257.5 L 214.5 1251.8 L 215.4 1251.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-12\" d=\"M 282.0 1233.6 L 283.9 1236.6 Q 284.1 1236.9, 284.4 1237.4 Q 284.7 1237.9, 284.7 1238.0 L 284.7 1233.6 L 285.4 1233.6 L 285.4 1239.2 L 284.7 1239.2 L 282.7 1236.0 Q 282.4 1235.6, 282.2 1235.1 Q 281.9 1234.7, 281.9 1234.5 L 281.9 1239.2 L 281.1 1239.2 L 281.1 1233.6 L 282.0 1233.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-12\" d=\"M 281.1 1227.3 L 281.8 1227.3 L 281.8 1229.7 L 284.7 1229.7 L 284.7 1227.3 L 285.5 1227.3 L 285.5 1233.0 L 284.7 1233.0 L 284.7 1230.4 L 281.8 1230.4 L 281.8 1233.0 L 281.1 1233.0 L 281.1 1227.3 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 217.5 1349.4 L 220.0 1349.4 L 220.0 1341.0 L 217.3 1341.8 L 216.9 1340.9 L 220.4 1339.3 L 221.5 1339.5 L 221.5 1349.4 L 223.7 1349.4 L 223.7 1350.7 L 217.5 1350.7 L 217.5 1349.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 229.1 1338.3 L 230.5 1338.3 L 230.5 1353.8 L 229.1 1353.8 L 229.1 1338.3 \" fill=\"#000000\"/>\n",
@@ -4246,43 +4221,33 @@
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        "<path d=\"M 282.4 1338.6 L 283.5 1338.6 L 283.5 1342.0 L 282.4 1342.0 L 282.4 1338.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 369.5,1263.8 L 377.6,1260.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 377.6,1260.9 L 385.8,1258.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 370.8,1267.6 L 377.7,1265.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 377.7,1265.2 L 384.6,1262.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 409.2,1249.4 L 411.9,1235.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-2\" d=\"M 419.9,1264.7 L 404.7,1251.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 408.5,1231.9 L 427.5,1225.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 427.5,1225.4 L 442.6,1238.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 427.1,1230.4 L 437.7,1239.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 442.6,1238.5 L 450.8,1235.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 450.8,1235.7 L 458.9,1232.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-11 atom-5\" d=\"M 438.8,1258.2 L 442.6,1238.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 464.2,1234.2 L 470.5,1239.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 470.5,1239.7 L 476.7,1245.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 463.5,1238.9 L 467.8,1242.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 467.8,1242.7 L 472.2,1246.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 476.7,1245.1 L 475.1,1253.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 475.1,1253.3 L 473.6,1261.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 470.3,1265.7 L 462.1,1268.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 462.1,1268.5 L 454.0,1271.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 466.5,1262.7 L 460.8,1264.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 460.8,1264.7 L 455.1,1266.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 454.0,1271.3 L 452.4,1279.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 452.4,1279.5 L 450.8,1287.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-11\" d=\"M 454.0,1271.3 L 438.8,1258.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 438.8,1258.2 L 419.9,1264.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 434.7,1255.4 L 421.4,1260.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 365.6 1261.8 L 367.4 1264.8 Q 367.6 1265.1, 367.9 1265.7 Q 368.2 1266.2, 368.2 1266.3 L 368.2 1261.8 L 369.0 1261.8 L 369.0 1267.5 L 368.2 1267.5 L 366.2 1264.2 Q 366.0 1263.8, 365.7 1263.4 Q 365.5 1263.0, 365.4 1262.8 L 365.4 1267.5 L 364.7 1267.5 L 364.7 1261.8 L 365.6 1261.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 460.3 1229.1 L 462.2 1232.1 Q 462.4 1232.4, 462.7 1232.9 Q 463.0 1233.5, 463.0 1233.5 L 463.0 1229.1 L 463.7 1229.1 L 463.7 1234.8 L 462.9 1234.8 L 460.9 1231.5 Q 460.7 1231.1, 460.5 1230.7 Q 460.2 1230.2, 460.2 1230.1 L 460.2 1234.8 L 459.4 1234.8 L 459.4 1229.1 L 460.3 1229.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 471.7 1261.9 L 473.5 1264.9 Q 473.7 1265.2, 474.0 1265.8 Q 474.3 1266.3, 474.3 1266.3 L 474.3 1261.9 L 475.1 1261.9 L 475.1 1267.6 L 474.3 1267.6 L 472.3 1264.3 Q 472.1 1263.9, 471.8 1263.5 Q 471.6 1263.1, 471.5 1262.9 L 471.5 1267.6 L 470.8 1267.6 L 470.8 1261.9 L 471.7 1261.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 448.9 1288.2 L 450.8 1291.2 Q 450.9 1291.5, 451.2 1292.0 Q 451.5 1292.5, 451.6 1292.6 L 451.6 1288.2 L 452.3 1288.2 L 452.3 1293.8 L 451.5 1293.8 L 449.5 1290.5 Q 449.3 1290.2, 449.1 1289.7 Q 448.8 1289.3, 448.7 1289.1 L 448.7 1293.8 L 448.0 1293.8 L 448.0 1288.2 L 448.9 1288.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 453.0 1288.2 L 453.8 1288.2 L 453.8 1290.6 L 456.7 1290.6 L 456.7 1288.2 L 457.4 1288.2 L 457.4 1293.8 L 456.7 1293.8 L 456.7 1291.2 L 453.8 1291.2 L 453.8 1293.8 L 453.0 1293.8 L 453.0 1288.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 457.7 1293.6 Q 457.8 1293.3, 458.2 1293.1 Q 458.5 1292.9, 459.0 1292.9 Q 459.5 1292.9, 459.8 1293.2 Q 460.2 1293.5, 460.2 1294.0 Q 460.2 1294.6, 459.7 1295.1 Q 459.3 1295.6, 458.5 1296.3 L 460.2 1296.3 L 460.2 1296.7 L 457.7 1296.7 L 457.7 1296.3 Q 458.4 1295.8, 458.8 1295.5 Q 459.2 1295.1, 459.4 1294.7 Q 459.6 1294.4, 459.6 1294.1 Q 459.6 1293.7, 459.4 1293.5 Q 459.3 1293.3, 459.0 1293.3 Q 458.7 1293.3, 458.5 1293.4 Q 458.3 1293.6, 458.1 1293.8 L 457.7 1293.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 452.2,1225.7 L 449.9,1233.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 449.9,1233.6 L 447.6,1241.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 447.6,1241.6 L 461.5,1256.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 446.8,1246.5 L 456.5,1256.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 428.2,1246.4 L 447.6,1241.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 461.5,1256.0 L 455.9,1275.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 455.9,1275.3 L 447.5,1277.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 447.5,1277.4 L 439.1,1279.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 452.5,1272.0 L 446.6,1273.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 446.6,1273.5 L 440.7,1274.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 433.8,1277.3 L 428.2,1271.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 428.2,1271.5 L 422.6,1265.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 422.6,1265.7 L 413.9,1265.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 413.9,1265.9 L 405.2,1266.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 428.2,1246.4 L 422.6,1265.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 431.2,1250.4 L 427.3,1263.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 401.3,1263.0 L 398.5,1255.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 398.5,1255.2 L 395.7,1247.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 395.7,1247.5 L 411.6,1235.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 400.6,1248.8 L 411.6,1240.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 411.6,1235.1 L 428.2,1246.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 451.9 1219.5 L 453.8 1222.5 Q 454.0 1222.8, 454.3 1223.3 Q 454.6 1223.9, 454.6 1223.9 L 454.6 1219.5 L 455.3 1219.5 L 455.3 1225.2 L 454.6 1225.2 L 452.6 1221.9 Q 452.3 1221.5, 452.1 1221.0 Q 451.8 1220.6, 451.8 1220.5 L 451.8 1225.2 L 451.0 1225.2 L 451.0 1219.5 L 451.9 1219.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 456.0 1219.5 L 456.8 1219.5 L 456.8 1221.9 L 459.7 1221.9 L 459.7 1219.5 L 460.5 1219.5 L 460.5 1225.2 L 459.7 1225.2 L 459.7 1222.5 L 456.8 1222.5 L 456.8 1225.2 L 456.0 1225.2 L 456.0 1219.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 460.7 1225.0 Q 460.9 1224.6, 461.2 1224.4 Q 461.5 1224.2, 462.0 1224.2 Q 462.5 1224.2, 462.9 1224.5 Q 463.2 1224.8, 463.2 1225.4 Q 463.2 1225.9, 462.8 1226.4 Q 462.4 1227.0, 461.5 1227.6 L 463.2 1227.6 L 463.2 1228.0 L 460.7 1228.0 L 460.7 1227.6 Q 461.4 1227.1, 461.8 1226.8 Q 462.3 1226.4, 462.5 1226.1 Q 462.7 1225.7, 462.7 1225.4 Q 462.7 1225.0, 462.5 1224.8 Q 462.3 1224.6, 462.0 1224.6 Q 461.7 1224.6, 461.5 1224.8 Q 461.3 1224.9, 461.1 1225.1 L 460.7 1225.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 435.2 1277.3 L 437.1 1280.3 Q 437.3 1280.6, 437.6 1281.1 Q 437.9 1281.6, 437.9 1281.7 L 437.9 1277.3 L 438.6 1277.3 L 438.6 1282.9 L 437.9 1282.9 L 435.9 1279.7 Q 435.6 1279.3, 435.4 1278.8 Q 435.1 1278.4, 435.1 1278.2 L 435.1 1282.9 L 434.3 1282.9 L 434.3 1277.3 L 435.2 1277.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 395.3 1263.5 L 396.1 1263.5 L 396.1 1265.9 L 399.0 1265.9 L 399.0 1263.5 L 399.7 1263.5 L 399.7 1269.1 L 399.0 1269.1 L 399.0 1266.5 L 396.1 1266.5 L 396.1 1269.1 L 395.3 1269.1 L 395.3 1263.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 401.3 1263.5 L 403.2 1266.5 Q 403.3 1266.8, 403.6 1267.3 Q 403.9 1267.8, 404.0 1267.9 L 404.0 1263.5 L 404.7 1263.5 L 404.7 1269.1 L 403.9 1269.1 L 401.9 1265.9 Q 401.7 1265.5, 401.4 1265.0 Q 401.2 1264.6, 401.1 1264.5 L 401.1 1269.1 L 400.4 1269.1 L 400.4 1263.5 L 401.3 1263.5 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 387.5 1349.4 L 390.0 1349.4 L 390.0 1341.0 L 387.3 1341.8 L 386.9 1340.9 L 390.4 1339.3 L 391.5 1339.5 L 391.5 1349.4 L 393.7 1349.4 L 393.7 1350.7 L 387.5 1350.7 L 387.5 1349.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 399.1 1338.3 L 400.5 1338.3 L 400.5 1353.8 L 399.1 1353.8 L 399.1 1338.3 \" fill=\"#000000\"/>\n",
@@ -4298,41 +4263,44 @@
        "<path d=\"M 448.0 1339.4 Q 449.9 1339.4, 450.9 1340.3 Q 451.9 1341.1, 451.9 1342.7 Q 451.9 1344.3, 450.9 1345.2 Q 449.9 1346.1, 448.0 1346.1 L 446.2 1346.1 L 446.2 1350.7 L 444.6 1350.7 L 444.6 1339.4 L 448.0 1339.4 M 448.0 1344.8 Q 449.1 1344.8, 449.7 1344.3 Q 450.3 1343.7, 450.3 1342.7 Q 450.3 1341.7, 449.7 1341.2 Q 449.1 1340.7, 448.0 1340.7 L 446.2 1340.7 L 446.2 1344.8 L 448.0 1344.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 452.4 1338.6 L 453.5 1338.6 L 453.5 1342.0 L 452.4 1342.0 L 452.4 1338.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 457.2 1338.3 L 457.2 1353.8 L 453.8 1353.8 L 453.8 1352.7 L 455.9 1352.7 L 455.9 1339.5 L 453.8 1339.5 L 453.8 1338.3 L 457.2 1338.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 559.8,1267.6 L 578.1,1275.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 564.2,1265.2 L 577.0,1270.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-0\" d=\"M 561.5,1251.0 L 560.7,1259.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-0\" d=\"M 560.7,1259.3 L 559.8,1267.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 578.1,1275.8 L 591.5,1260.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 591.5,1260.9 L 581.5,1243.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 586.5,1260.3 L 579.5,1248.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-2\" d=\"M 611.6,1260.9 L 591.5,1260.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 581.5,1243.5 L 585.5,1236.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 585.5,1236.5 L 589.6,1229.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-3 atom-11\" d=\"M 581.5,1243.5 L 573.0,1245.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-3 atom-11\" d=\"M 573.0,1245.3 L 564.5,1247.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 594.2,1226.2 L 602.9,1226.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 602.9,1226.2 L 611.6,1226.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 596.8,1230.2 L 602.9,1230.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 602.9,1230.2 L 608.9,1230.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 611.6,1226.2 L 621.6,1243.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 621.6,1243.5 L 630.1,1245.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 630.1,1245.3 L 638.5,1247.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-10 atom-6\" d=\"M 611.6,1260.9 L 621.6,1243.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-10 atom-6\" d=\"M 609.6,1256.3 L 616.6,1244.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 641.5,1251.0 L 642.4,1259.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 642.4,1259.3 L 643.3,1267.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 637.8,1254.0 L 638.4,1259.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 638.4,1259.8 L 639.0,1265.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 643.3,1267.6 L 635.5,1271.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 635.5,1271.1 L 627.6,1274.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 622.3,1272.9 L 616.9,1266.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 616.9,1266.9 L 611.6,1260.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-4\" d=\"M 590.3 1223.3 L 592.1 1226.3 Q 592.3 1226.6, 592.6 1227.2 Q 592.9 1227.7, 592.9 1227.7 L 592.9 1223.3 L 593.7 1223.3 L 593.7 1229.0 L 592.9 1229.0 L 590.9 1225.7 Q 590.7 1225.3, 590.4 1224.9 Q 590.2 1224.5, 590.1 1224.3 L 590.1 1229.0 L 589.4 1229.0 L 589.4 1223.3 L 590.3 1223.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 639.9 1244.9 L 641.8 1247.9 Q 642.0 1248.2, 642.3 1248.7 Q 642.6 1249.2, 642.6 1249.3 L 642.6 1244.9 L 643.3 1244.9 L 643.3 1250.5 L 642.6 1250.5 L 640.6 1247.3 Q 640.3 1246.9, 640.1 1246.4 Q 639.8 1246.0, 639.8 1245.9 L 639.8 1250.5 L 639.0 1250.5 L 639.0 1244.9 L 639.9 1244.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 623.7 1273.0 L 625.6 1276.0 Q 625.8 1276.3, 626.1 1276.8 Q 626.4 1277.3, 626.4 1277.4 L 626.4 1273.0 L 627.1 1273.0 L 627.1 1278.6 L 626.3 1278.6 L 624.3 1275.4 Q 624.1 1275.0, 623.9 1274.5 Q 623.6 1274.1, 623.6 1273.9 L 623.6 1278.6 L 622.8 1278.6 L 622.8 1273.0 L 623.7 1273.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 622.7 1279.2 L 623.5 1279.2 L 623.5 1281.6 L 626.4 1281.6 L 626.4 1279.2 L 627.2 1279.2 L 627.2 1284.9 L 626.4 1284.9 L 626.4 1282.3 L 623.5 1282.3 L 623.5 1284.9 L 622.7 1284.9 L 622.7 1279.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 554.6 1244.9 L 555.4 1244.9 L 555.4 1247.3 L 558.3 1247.3 L 558.3 1244.9 L 559.1 1244.9 L 559.1 1250.5 L 558.3 1250.5 L 558.3 1247.9 L 555.4 1247.9 L 555.4 1250.5 L 554.6 1250.5 L 554.6 1244.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 560.6 1244.9 L 562.5 1247.9 Q 562.7 1248.2, 563.0 1248.7 Q 563.3 1249.2, 563.3 1249.3 L 563.3 1244.9 L 564.0 1244.9 L 564.0 1250.5 L 563.3 1250.5 L 561.3 1247.3 Q 561.0 1246.9, 560.8 1246.4 Q 560.5 1246.0, 560.5 1245.9 L 560.5 1250.5 L 559.7 1250.5 L 559.7 1244.9 L 560.6 1244.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 669.3,1251.5 L 652.2,1262.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 652.2,1262.0 L 644.7,1257.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 644.7,1257.9 L 637.2,1253.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 634.1,1249.1 L 633.0,1240.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 633.0,1240.8 L 631.9,1232.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-10 atom-2\" d=\"M 616.5,1261.1 L 624.2,1257.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-10 atom-2\" d=\"M 624.2,1257.4 L 631.9,1253.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 631.9,1232.6 L 612.2,1228.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 628.3,1235.9 L 614.5,1233.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 612.2,1228.9 L 602.7,1246.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 602.7,1246.5 L 583.2,1251.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 600.7,1251.1 L 587.0,1254.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-10 atom-5\" d=\"M 616.5,1261.1 L 602.7,1246.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 583.2,1251.2 L 577.5,1270.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-13 atom-6\" d=\"M 569.3,1241.7 L 576.2,1246.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-13 atom-6\" d=\"M 576.2,1246.4 L 583.2,1251.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 577.5,1270.4 L 591.3,1285.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 582.5,1269.8 L 592.1,1280.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-7 atom-11\" d=\"M 577.5,1270.4 L 568.8,1270.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-7 atom-11\" d=\"M 568.8,1270.6 L 560.1,1270.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 591.3,1285.0 L 599.7,1282.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 599.7,1282.9 L 608.1,1280.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 611.8,1276.9 L 614.1,1269.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 614.1,1269.0 L 616.5,1261.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 608.6,1273.4 L 610.3,1267.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 610.3,1267.9 L 611.9,1262.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 556.3,1267.6 L 553.5,1259.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 553.5,1259.8 L 550.7,1252.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 559.2,1263.9 L 557.3,1258.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 557.3,1258.5 L 555.4,1253.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 550.7,1252.0 L 557.4,1247.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 557.4,1247.0 L 564.0,1241.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 566.6,1236.5 L 566.3,1228.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 566.3,1228.1 L 566.1,1219.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-2\" d=\"M 633.3 1249.6 L 635.2 1252.6 Q 635.4 1252.9, 635.6 1253.4 Q 635.9 1254.0, 636.0 1254.0 L 636.0 1249.6 L 636.7 1249.6 L 636.7 1255.3 L 635.9 1255.3 L 633.9 1252.0 Q 633.7 1251.6, 633.5 1251.2 Q 633.2 1250.7, 633.1 1250.6 L 633.1 1255.3 L 632.4 1255.3 L 632.4 1249.6 L 633.3 1249.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 609.5 1277.4 L 611.4 1280.4 Q 611.6 1280.7, 611.9 1281.3 Q 612.2 1281.8, 612.2 1281.9 L 612.2 1277.4 L 612.9 1277.4 L 612.9 1283.1 L 612.1 1283.1 L 610.2 1279.8 Q 609.9 1279.4, 609.7 1279.0 Q 609.4 1278.6, 609.4 1278.4 L 609.4 1283.1 L 608.6 1283.1 L 608.6 1277.4 L 609.5 1277.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 556.2 1268.1 L 558.0 1271.1 Q 558.2 1271.4, 558.5 1271.9 Q 558.8 1272.5, 558.8 1272.5 L 558.8 1268.1 L 559.6 1268.1 L 559.6 1273.8 L 558.8 1273.8 L 556.8 1270.5 Q 556.6 1270.1, 556.3 1269.7 Q 556.1 1269.2, 556.0 1269.1 L 556.0 1273.8 L 555.3 1273.8 L 555.3 1268.1 L 556.2 1268.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-13\" d=\"M 565.4 1237.0 L 567.3 1240.0 Q 567.4 1240.3, 567.7 1240.8 Q 568.0 1241.4, 568.1 1241.4 L 568.1 1237.0 L 568.8 1237.0 L 568.8 1242.7 L 568.0 1242.7 L 566.0 1239.4 Q 565.8 1239.0, 565.5 1238.6 Q 565.3 1238.1, 565.2 1238.0 L 565.2 1242.7 L 564.5 1242.7 L 564.5 1237.0 L 565.4 1237.0 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 557.5 1349.4 L 560.0 1349.4 L 560.0 1341.0 L 557.3 1341.8 L 556.9 1340.9 L 560.4 1339.3 L 561.5 1339.5 L 561.5 1349.4 L 563.7 1349.4 L 563.7 1350.7 L 557.5 1350.7 L 557.5 1349.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 569.1 1338.3 L 570.5 1338.3 L 570.5 1353.8 L 569.1 1353.8 L 569.1 1338.3 \" fill=\"#000000\"/>\n",
@@ -4348,42 +4316,48 @@
        "<path d=\"M 618.0 1339.4 Q 619.9 1339.4, 620.9 1340.3 Q 621.9 1341.1, 621.9 1342.7 Q 621.9 1344.3, 620.9 1345.2 Q 619.9 1346.1, 618.0 1346.1 L 616.2 1346.1 L 616.2 1350.7 L 614.6 1350.7 L 614.6 1339.4 L 618.0 1339.4 M 618.0 1344.8 Q 619.1 1344.8, 619.7 1344.3 Q 620.3 1343.7, 620.3 1342.7 Q 620.3 1341.7, 619.7 1341.2 Q 619.1 1340.7, 618.0 1340.7 L 616.2 1340.7 L 616.2 1344.8 L 618.0 1344.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 622.4 1338.6 L 623.5 1338.6 L 623.5 1342.0 L 622.4 1342.0 L 622.4 1338.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 828.8,1240.0 L 810.2,1247.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 810.2,1247.2 L 808.0,1255.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 808.0,1255.3 L 805.9,1263.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 805.6,1248.6 L 804.2,1254.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 804.2,1254.2 L 802.7,1259.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-1\" d=\"M 795.9,1238.1 L 803.0,1242.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-1\" d=\"M 803.0,1242.7 L 810.2,1247.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 802.4,1266.8 L 793.7,1267.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 793.7,1267.3 L 785.0,1267.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 785.0,1267.8 L 772.5,1283.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 780.0,1267.6 L 771.3,1278.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-11 atom-3\" d=\"M 777.8,1249.1 L 785.0,1267.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 772.5,1283.4 L 763.9,1282.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 763.9,1282.1 L 755.3,1280.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 751.4,1277.0 L 748.4,1269.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 748.4,1269.4 L 745.4,1261.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 754.2,1273.3 L 752.1,1267.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 752.1,1267.9 L 750.0,1262.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 745.4,1261.7 L 737.4,1258.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 737.4,1258.7 L 729.3,1255.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-10 atom-6\" d=\"M 757.9,1246.1 L 745.4,1261.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 726.8,1251.3 L 727.2,1242.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 727.2,1242.9 L 727.6,1234.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 727.6,1234.6 L 746.9,1229.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 731.6,1237.7 L 745.1,1234.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 746.9,1229.3 L 757.9,1246.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 757.9,1246.1 L 777.8,1249.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 760.3,1250.5 L 774.2,1252.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 777.8,1249.1 L 784.2,1243.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 784.2,1243.8 L 790.6,1238.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-2\" d=\"M 803.8 1263.8 L 805.7 1266.8 Q 805.9 1267.1, 806.1 1267.6 Q 806.4 1268.2, 806.5 1268.2 L 806.5 1263.8 L 807.2 1263.8 L 807.2 1269.5 L 806.4 1269.5 L 804.4 1266.2 Q 804.2 1265.8, 804.0 1265.3 Q 803.7 1264.9, 803.6 1264.8 L 803.6 1269.5 L 802.9 1269.5 L 802.9 1263.8 L 803.8 1263.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 751.4 1277.5 L 753.3 1280.6 Q 753.5 1280.9, 753.8 1281.4 Q 754.1 1281.9, 754.1 1282.0 L 754.1 1277.5 L 754.8 1277.5 L 754.8 1283.2 L 754.1 1283.2 L 752.1 1279.9 Q 751.8 1279.6, 751.6 1279.1 Q 751.4 1278.7, 751.3 1278.5 L 751.3 1283.2 L 750.5 1283.2 L 750.5 1277.5 L 751.4 1277.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 719.4 1251.8 L 720.2 1251.8 L 720.2 1254.2 L 723.1 1254.2 L 723.1 1251.8 L 723.8 1251.8 L 723.8 1257.5 L 723.1 1257.5 L 723.1 1254.8 L 720.2 1254.8 L 720.2 1257.5 L 719.4 1257.5 L 719.4 1251.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 725.4 1251.8 L 727.3 1254.8 Q 727.5 1255.1, 727.7 1255.6 Q 728.0 1256.2, 728.1 1256.2 L 728.1 1251.8 L 728.8 1251.8 L 728.8 1257.5 L 728.0 1257.5 L 726.0 1254.2 Q 725.8 1253.8, 725.6 1253.3 Q 725.3 1252.9, 725.2 1252.8 L 725.2 1257.5 L 724.5 1257.5 L 724.5 1251.8 L 725.4 1251.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-12\" d=\"M 792.0 1233.6 L 793.9 1236.6 Q 794.1 1236.9, 794.4 1237.4 Q 794.7 1237.9, 794.7 1238.0 L 794.7 1233.6 L 795.4 1233.6 L 795.4 1239.2 L 794.7 1239.2 L 792.7 1236.0 Q 792.4 1235.6, 792.2 1235.1 Q 791.9 1234.7, 791.9 1234.5 L 791.9 1239.2 L 791.1 1239.2 L 791.1 1233.6 L 792.0 1233.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-12\" d=\"M 791.1 1227.3 L 791.8 1227.3 L 791.8 1229.7 L 794.7 1229.7 L 794.7 1227.3 L 795.5 1227.3 L 795.5 1233.0 L 794.7 1233.0 L 794.7 1230.4 L 791.8 1230.4 L 791.8 1233.0 L 791.1 1233.0 L 791.1 1227.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 827.3,1270.3 L 822.6,1263.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 822.6,1263.9 L 817.8,1257.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 812.7,1254.5 L 804.0,1255.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 804.0,1255.6 L 795.4,1256.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 795.4,1256.6 L 792.2,1264.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 792.2,1264.1 L 788.9,1271.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 790.8,1257.2 L 788.5,1262.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 788.5,1262.5 L 786.2,1267.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-10 atom-2\" d=\"M 783.4,1240.5 L 795.4,1256.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 784.8,1275.3 L 776.2,1276.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 776.2,1276.3 L 767.6,1277.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 767.6,1277.3 L 763.0,1283.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 763.0,1283.8 L 758.4,1290.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-8 atom-4\" d=\"M 755.6,1261.3 L 767.6,1277.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-8 atom-4\" d=\"M 760.6,1261.3 L 769.0,1272.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 753.4,1292.9 L 745.1,1290.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 745.1,1290.3 L 736.9,1287.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 736.9,1287.7 L 736.6,1267.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 740.8,1284.7 L 740.7,1270.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 736.6,1267.7 L 755.6,1261.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 755.6,1261.3 L 763.5,1242.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 763.5,1242.8 L 783.4,1240.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 767.0,1246.5 L 780.9,1244.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-13 atom-9\" d=\"M 756.7,1228.0 L 760.1,1235.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-13 atom-9\" d=\"M 760.1,1235.4 L 763.5,1242.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 783.4,1240.5 L 785.1,1232.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 785.1,1232.3 L 786.7,1224.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 784.7,1219.4 L 777.3,1215.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 777.3,1215.2 L 769.9,1211.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 780.5,1221.6 L 775.3,1218.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 775.3,1218.7 L 770.1,1215.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 769.9,1211.0 L 763.8,1216.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 763.8,1216.6 L 757.8,1222.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 752.5,1224.1 L 744.0,1222.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 744.0,1222.4 L 735.5,1220.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 814.1 1251.4 L 815.9 1254.4 Q 816.1 1254.7, 816.4 1255.2 Q 816.7 1255.8, 816.7 1255.8 L 816.7 1251.4 L 817.5 1251.4 L 817.5 1257.1 L 816.7 1257.1 L 814.7 1253.8 Q 814.5 1253.4, 814.2 1253.0 Q 814.0 1252.5, 813.9 1252.4 L 813.9 1257.1 L 813.2 1257.1 L 813.2 1251.4 L 814.1 1251.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-1\" d=\"M 818.2 1251.4 L 818.9 1251.4 L 818.9 1253.8 L 821.8 1253.8 L 821.8 1251.4 L 822.6 1251.4 L 822.6 1257.1 L 821.8 1257.1 L 821.8 1254.4 L 818.9 1254.4 L 818.9 1257.1 L 818.2 1257.1 L 818.2 1251.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-3\" d=\"M 786.2 1272.1 L 788.1 1275.2 Q 788.3 1275.5, 788.6 1276.0 Q 788.9 1276.5, 788.9 1276.6 L 788.9 1272.1 L 789.6 1272.1 L 789.6 1277.8 L 788.9 1277.8 L 786.9 1274.5 Q 786.6 1274.2, 786.4 1273.7 Q 786.2 1273.3, 786.1 1273.1 L 786.1 1277.8 L 785.3 1277.8 L 785.3 1272.1 L 786.2 1272.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 754.7 1290.9 L 756.6 1293.9 Q 756.8 1294.2, 757.1 1294.7 Q 757.4 1295.2, 757.4 1295.3 L 757.4 1290.9 L 758.2 1290.9 L 758.2 1296.5 L 757.4 1296.5 L 755.4 1293.3 Q 755.2 1292.9, 754.9 1292.4 Q 754.7 1292.0, 754.6 1291.8 L 754.6 1296.5 L 753.9 1296.5 L 753.9 1290.9 L 754.7 1290.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 753.8 1297.1 L 754.6 1297.1 L 754.6 1299.5 L 757.5 1299.5 L 757.5 1297.1 L 758.2 1297.1 L 758.2 1302.8 L 757.5 1302.8 L 757.5 1300.2 L 754.6 1300.2 L 754.6 1302.8 L 753.8 1302.8 L 753.8 1297.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 786.1 1218.0 L 788.0 1221.0 Q 788.1 1221.3, 788.4 1221.8 Q 788.7 1222.4, 788.8 1222.4 L 788.8 1218.0 L 789.5 1218.0 L 789.5 1223.7 L 788.7 1223.7 L 786.7 1220.4 Q 786.5 1220.0, 786.2 1219.6 Q 786.0 1219.1, 785.9 1219.0 L 785.9 1223.7 L 785.2 1223.7 L 785.2 1218.0 L 786.1 1218.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-13\" d=\"M 753.9 1221.8 L 755.7 1224.8 Q 755.9 1225.1, 756.2 1225.6 Q 756.5 1226.2, 756.5 1226.2 L 756.5 1221.8 L 757.3 1221.8 L 757.3 1227.5 L 756.5 1227.5 L 754.5 1224.2 Q 754.3 1223.8, 754.0 1223.4 Q 753.8 1222.9, 753.7 1222.8 L 753.7 1227.5 L 753.0 1227.5 L 753.0 1221.8 L 753.9 1221.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 727.5 1349.4 L 730.0 1349.4 L 730.0 1341.0 L 727.3 1341.8 L 726.9 1340.9 L 730.4 1339.3 L 731.5 1339.5 L 731.5 1349.4 L 733.7 1349.4 L 733.7 1350.7 L 727.5 1350.7 L 727.5 1349.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 739.1 1338.3 L 740.5 1338.3 L 740.5 1353.8 L 739.1 1353.8 L 739.1 1338.3 \" fill=\"#000000\"/>\n",
@@ -4399,44 +4373,32 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 895.9,1238.0 L 903.7,1241.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 903.7,1241.5 L 911.5,1245.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 911.5,1245.0 L 912.4,1253.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 912.4,1253.3 L 913.3,1261.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 915.8,1247.0 L 916.4,1252.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 916.4,1252.9 L 917.0,1258.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 925.1,1235.1 L 918.3,1240.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 918.3,1240.0 L 911.5,1245.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 916.3,1266.1 L 924.1,1269.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 931.9,1273.1 L 932.8,1281.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 932.8,1281.4 L 933.6,1289.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-3 atom-5\" d=\"M 931.9,1273.1 L 948.1,1261.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 948.1,1261.3 L 956.0,1264.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 946.1,1241.4 L 948.1,1261.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 969.1,1267.6 L 975.9,1262.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 975.9,1262.7 L 982.7,1257.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 968.8,1262.9 L 973.5,1259.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 973.5,1259.5 L 978.3,1256.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 982.7,1257.8 L 980.6,1237.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 980.6,1237.8 L 962.3,1229.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 976.2,1240.3 L 963.4,1234.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 962.3,1229.7 L 946.1,1241.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 946.1,1241.4 L 938.3,1237.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 938.3,1237.9 L 930.4,1234.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 942.1,1244.0 L 936.6,1241.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 936.6,1241.6 L 931.2,1239.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 883.2 1233.9 L 884.0 1233.9 L 884.0 1236.3 L 886.9 1236.3 L 886.9 1233.9 L 887.6 1233.9 L 887.6 1239.6 L 886.9 1239.6 L 886.9 1237.0 L 884.0 1237.0 L 884.0 1239.6 L 883.2 1239.6 L 883.2 1233.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 887.9 1239.4 Q 888.1 1239.1, 888.4 1238.9 Q 888.7 1238.7, 889.2 1238.7 Q 889.7 1238.7, 890.1 1239.0 Q 890.4 1239.3, 890.4 1239.8 Q 890.4 1240.4, 890.0 1240.9 Q 889.5 1241.4, 888.7 1242.0 L 890.4 1242.0 L 890.4 1242.4 L 887.9 1242.4 L 887.9 1242.1 Q 888.6 1241.6, 889.0 1241.2 Q 889.4 1240.9, 889.6 1240.5 Q 889.8 1240.2, 889.8 1239.8 Q 889.8 1239.5, 889.7 1239.3 Q 889.5 1239.1, 889.2 1239.1 Q 888.9 1239.1, 888.7 1239.2 Q 888.5 1239.3, 888.3 1239.6 L 887.9 1239.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 892.0 1233.9 L 893.9 1236.9 Q 894.0 1237.2, 894.3 1237.8 Q 894.6 1238.3, 894.7 1238.3 L 894.7 1233.9 L 895.4 1233.9 L 895.4 1239.6 L 894.6 1239.6 L 892.6 1236.3 Q 892.4 1235.9, 892.1 1235.5 Q 891.9 1235.1, 891.8 1234.9 L 891.8 1239.6 L 891.1 1239.6 L 891.1 1233.9 L 892.0 1233.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 912.3 1262.1 L 914.2 1265.1 Q 914.4 1265.4, 914.7 1265.9 Q 915.0 1266.4, 915.0 1266.5 L 915.0 1262.1 L 915.8 1262.1 L 915.8 1267.7 L 915.0 1267.7 L 913.0 1264.5 Q 912.8 1264.1, 912.5 1263.6 Q 912.3 1263.2, 912.2 1263.1 L 912.2 1267.7 L 911.5 1267.7 L 911.5 1262.1 L 912.3 1262.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 932.7 1290.2 L 934.6 1293.2 Q 934.7 1293.5, 935.0 1294.0 Q 935.3 1294.6, 935.4 1294.6 L 935.4 1290.2 L 936.1 1290.2 L 936.1 1295.9 L 935.3 1295.9 L 933.3 1292.6 Q 933.1 1292.2, 932.9 1291.8 Q 932.6 1291.3, 932.5 1291.2 L 932.5 1295.9 L 931.8 1295.9 L 931.8 1290.2 L 932.7 1290.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 936.8 1290.2 L 937.6 1290.2 L 937.6 1292.6 L 940.5 1292.6 L 940.5 1290.2 L 941.2 1290.2 L 941.2 1295.9 L 940.5 1295.9 L 940.5 1293.3 L 937.6 1293.3 L 937.6 1295.9 L 936.8 1295.9 L 936.8 1290.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 941.5 1295.7 Q 941.6 1295.3, 942.0 1295.1 Q 942.3 1294.9, 942.8 1294.9 Q 943.3 1294.9, 943.6 1295.2 Q 944.0 1295.5, 944.0 1296.1 Q 944.0 1296.6, 943.5 1297.2 Q 943.1 1297.7, 942.3 1298.3 L 944.0 1298.3 L 944.0 1298.7 L 941.5 1298.7 L 941.5 1298.4 Q 942.2 1297.9, 942.6 1297.5 Q 943.0 1297.1, 943.2 1296.8 Q 943.4 1296.5, 943.4 1296.1 Q 943.4 1295.8, 943.3 1295.5 Q 943.1 1295.3, 942.8 1295.3 Q 942.5 1295.3, 942.3 1295.5 Q 942.1 1295.6, 941.9 1295.9 L 941.5 1295.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 965.2 1266.7 L 967.0 1269.7 Q 967.2 1270.0, 967.5 1270.5 Q 967.8 1271.1, 967.8 1271.1 L 967.8 1266.7 L 968.6 1266.7 L 968.6 1272.4 L 967.8 1272.4 L 965.8 1269.1 Q 965.6 1268.7, 965.3 1268.3 Q 965.1 1267.8, 965.0 1267.7 L 965.0 1272.4 L 964.3 1272.4 L 964.3 1266.7 L 965.2 1266.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 926.5 1230.4 L 928.4 1233.4 Q 928.6 1233.7, 928.9 1234.2 Q 929.2 1234.8, 929.2 1234.8 L 929.2 1230.4 L 929.9 1230.4 L 929.9 1236.0 L 929.2 1236.0 L 927.2 1232.8 Q 926.9 1232.4, 926.7 1231.9 Q 926.4 1231.5, 926.4 1231.4 L 926.4 1236.0 L 925.6 1236.0 L 925.6 1230.4 L 926.5 1230.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 972.3,1263.7 L 955.0,1273.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 967.7,1261.7 L 955.6,1268.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 972.3,1246.9 L 972.3,1255.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 972.3,1255.3 L 972.3,1263.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 955.0,1273.7 L 937.6,1263.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 937.6,1263.7 L 929.4,1266.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 929.4,1266.3 L 921.2,1269.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-6 atom-2\" d=\"M 937.6,1243.6 L 937.6,1263.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-6 atom-2\" d=\"M 941.6,1246.6 L 941.6,1260.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 916.1,1266.5 L 911.5,1260.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 911.5,1260.1 L 906.8,1253.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 906.8,1253.6 L 911.5,1247.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 911.5,1247.2 L 916.1,1240.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 911.4,1254.1 L 914.7,1249.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 914.7,1249.5 L 918.0,1245.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 921.2,1238.3 L 929.4,1240.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 929.4,1240.9 L 937.6,1243.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 937.6,1243.6 L 955.0,1233.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 955.0,1233.6 L 962.3,1237.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 962.3,1237.8 L 969.7,1242.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 955.2,1238.3 L 960.3,1241.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 960.3,1241.3 L 965.5,1244.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-3\" d=\"M 917.3 1267.0 L 919.2 1270.0 Q 919.3 1270.3, 919.6 1270.8 Q 919.9 1271.4, 920.0 1271.4 L 920.0 1267.0 L 920.7 1267.0 L 920.7 1272.7 L 919.9 1272.7 L 917.9 1269.4 Q 917.7 1269.0, 917.5 1268.6 Q 917.2 1268.1, 917.1 1268.0 L 917.1 1272.7 L 916.4 1272.7 L 916.4 1267.0 L 917.3 1267.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-3\" d=\"M 916.3 1273.3 L 917.1 1273.3 L 917.1 1275.7 L 920.0 1275.7 L 920.0 1273.3 L 920.8 1273.3 L 920.8 1278.9 L 920.0 1278.9 L 920.0 1276.3 L 917.1 1276.3 L 917.1 1278.9 L 916.3 1278.9 L 916.3 1273.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 917.3 1234.6 L 919.2 1237.6 Q 919.3 1237.9, 919.6 1238.4 Q 919.9 1238.9, 920.0 1239.0 L 920.0 1234.6 L 920.7 1234.6 L 920.7 1240.2 L 919.9 1240.2 L 917.9 1237.0 Q 917.7 1236.6, 917.5 1236.1 Q 917.2 1235.7, 917.1 1235.6 L 917.1 1240.2 L 916.4 1240.2 L 916.4 1234.6 L 917.3 1234.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 971.1 1240.8 L 973.0 1243.8 Q 973.1 1244.1, 973.4 1244.6 Q 973.7 1245.1, 973.7 1245.2 L 973.7 1240.8 L 974.5 1240.8 L 974.5 1246.4 L 973.7 1246.4 L 971.7 1243.2 Q 971.5 1242.8, 971.2 1242.3 Q 971.0 1241.9, 970.9 1241.8 L 970.9 1246.4 L 970.2 1246.4 L 970.2 1240.8 L 971.1 1240.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 897.5 1349.4 L 900.0 1349.4 L 900.0 1341.0 L 897.3 1341.8 L 896.9 1340.9 L 900.4 1339.3 L 901.5 1339.5 L 901.5 1349.4 L 903.7 1349.4 L 903.7 1350.7 L 897.5 1350.7 L 897.5 1349.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
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@@ -4452,43 +4414,40 @@
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-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1147.3,1251.8 L 1148.7,1257.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-1\" d=\"M 1132.4,1238.1 L 1140.7,1240.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-1\" d=\"M 1140.7,1240.4 L 1149.0,1242.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1138.0,1271.5 L 1124.4,1267.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1120.5,1270.9 L 1106.2,1284.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-12 atom-4\" d=\"M 1115.4,1251.5 L 1120.5,1270.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1106.2,1284.9 L 1086.9,1279.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1104.4,1280.3 L 1090.8,1276.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1086.9,1279.6 L 1081.8,1260.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1081.8,1260.2 L 1074.1,1256.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1074.1,1256.2 L 1066.4,1252.2\" style=\"fill:none;fill-rule:evenodd;stroke:#CCCC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-11 atom-7\" d=\"M 1096.1,1246.1 L 1081.8,1260.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-11 atom-7\" d=\"M 1096.8,1251.1 L 1086.8,1261.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1064.6,1247.6 L 1066.0,1239.4\" style=\"fill:none;fill-rule:evenodd;stroke:#CCCC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1066.0,1239.4 L 1067.3,1231.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1067.3,1231.2 L 1087.1,1228.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1070.9,1234.7 L 1084.8,1232.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1087.1,1228.2 L 1096.1,1246.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1096.1,1246.1 L 1115.4,1251.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1115.4,1251.5 L 1121.3,1245.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1121.3,1245.7 L 1127.1,1240.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1120.0,1252.6 L 1124.1,1248.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1124.1,1248.6 L 1128.1,1244.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1162.1 1225.8 L 1163.9 1228.8 Q 1164.1 1229.1, 1164.4 1229.7 Q 1164.7 1230.2, 1164.7 1230.2 L 1164.7 1225.8 L 1165.5 1225.8 L 1165.5 1231.5 L 1164.7 1231.5 L 1162.7 1228.2 Q 1162.5 1227.8, 1162.2 1227.4 Q 1162.0 1227.0, 1161.9 1226.8 L 1161.9 1231.5 L 1161.2 1231.5 L 1161.2 1225.8 L 1162.1 1225.8 \" fill=\"#0000FF\"/>\n",
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-       "<path class=\"atom-2\" d=\"M 1152.8 1259.3 L 1154.7 1262.3 Q 1154.9 1262.6, 1155.2 1263.1 Q 1155.5 1263.7, 1155.5 1263.7 L 1155.5 1259.3 L 1156.2 1259.3 L 1156.2 1265.0 L 1155.5 1265.0 L 1153.5 1261.7 Q 1153.2 1261.3, 1153.0 1260.9 Q 1152.7 1260.4, 1152.7 1260.3 L 1152.7 1265.0 L 1151.9 1265.0 L 1151.9 1259.3 L 1152.8 1259.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 1062.4 1252.9 Q 1062.5 1252.9, 1062.8 1253.1 Q 1063.0 1253.2, 1063.3 1253.2 Q 1063.6 1253.3, 1063.9 1253.3 Q 1064.4 1253.3, 1064.8 1253.1 Q 1065.1 1252.8, 1065.1 1252.3 Q 1065.1 1252.0, 1064.9 1251.8 Q 1064.8 1251.6, 1064.5 1251.5 Q 1064.3 1251.4, 1063.9 1251.3 Q 1063.4 1251.2, 1063.1 1251.0 Q 1062.8 1250.9, 1062.5 1250.6 Q 1062.3 1250.3, 1062.3 1249.7 Q 1062.3 1249.0, 1062.8 1248.6 Q 1063.3 1248.1, 1064.3 1248.1 Q 1064.9 1248.1, 1065.7 1248.5 L 1065.5 1249.1 Q 1064.8 1248.8, 1064.3 1248.8 Q 1063.7 1248.8, 1063.4 1249.0 Q 1063.1 1249.3, 1063.1 1249.6 Q 1063.1 1249.9, 1063.3 1250.1 Q 1063.5 1250.3, 1063.7 1250.4 Q 1063.9 1250.5, 1064.3 1250.6 Q 1064.8 1250.8, 1065.1 1251.0 Q 1065.4 1251.1, 1065.6 1251.5 Q 1065.9 1251.8, 1065.9 1252.3 Q 1065.9 1253.1, 1065.3 1253.5 Q 1064.8 1254.0, 1063.9 1254.0 Q 1063.4 1254.0, 1063.0 1253.8 Q 1062.7 1253.7, 1062.2 1253.6 L 1062.4 1252.9 \" fill=\"#CCCC00\"/>\n",
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+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1066.7,1284.1 L 1074.8,1282.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 1079.1 1338.3 L 1080.5 1338.3 L 1080.5 1353.8 L 1079.1 1353.8 L 1079.1 1338.3 \" fill=\"#000000\"/>\n",
@@ -4504,35 +4463,40 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 44.6,1414.0 L 52.6,1417.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 52.6,1417.1 L 60.6,1420.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 60.6,1420.2 L 63.7,1440.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 65.1,1422.5 L 67.2,1436.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 76.2,1407.6 L 60.6,1420.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 63.7,1440.0 L 82.4,1447.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 82.4,1447.2 L 98.0,1434.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 82.3,1442.2 L 93.2,1433.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 98.0,1434.6 L 106.1,1437.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 106.1,1437.7 L 114.1,1440.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 94.9,1414.8 L 98.0,1434.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 119.4,1439.7 L 125.9,1434.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 125.9,1434.5 L 132.3,1429.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 118.8,1435.0 L 123.4,1431.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 123.4,1431.3 L 127.9,1427.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 132.3,1429.2 L 129.2,1409.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 129.2,1409.4 L 121.2,1406.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 121.2,1406.3 L 113.2,1403.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 125.4,1412.2 L 119.8,1410.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 119.8,1410.1 L 114.2,1407.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 107.9,1404.3 L 101.4,1409.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 101.4,1409.6 L 94.9,1414.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 94.9,1414.8 L 76.2,1407.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 90.7,1417.5 L 77.6,1412.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 31.9 1410.1 L 32.7 1410.1 L 32.7 1412.5 L 35.6 1412.5 L 35.6 1410.1 L 36.3 1410.1 L 36.3 1415.8 L 35.6 1415.8 L 35.6 1413.2 L 32.7 1413.2 L 32.7 1415.8 L 31.9 1415.8 L 31.9 1410.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 36.6 1415.6 Q 36.7 1415.2, 37.1 1415.0 Q 37.4 1414.8, 37.9 1414.8 Q 38.4 1414.8, 38.7 1415.1 Q 39.1 1415.4, 39.1 1416.0 Q 39.1 1416.5, 38.6 1417.1 Q 38.2 1417.6, 37.4 1418.2 L 39.1 1418.2 L 39.1 1418.6 L 36.6 1418.6 L 36.6 1418.3 Q 37.3 1417.8, 37.7 1417.4 Q 38.1 1417.0, 38.3 1416.7 Q 38.5 1416.4, 38.5 1416.0 Q 38.5 1415.7, 38.3 1415.5 Q 38.2 1415.3, 37.9 1415.3 Q 37.5 1415.3, 37.3 1415.4 Q 37.1 1415.5, 37.0 1415.8 L 36.6 1415.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 40.7 1410.1 L 42.5 1413.1 Q 42.7 1413.4, 43.0 1413.9 Q 43.3 1414.5, 43.3 1414.5 L 43.3 1410.1 L 44.1 1410.1 L 44.1 1415.8 L 43.3 1415.8 L 41.3 1412.5 Q 41.1 1412.1, 40.8 1411.7 Q 40.6 1411.2, 40.5 1411.1 L 40.5 1415.8 L 39.8 1415.8 L 39.8 1410.1 L 40.7 1410.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 115.5 1439.0 L 117.3 1442.0 Q 117.5 1442.3, 117.8 1442.8 Q 118.1 1443.4, 118.1 1443.4 L 118.1 1439.0 L 118.9 1439.0 L 118.9 1444.7 L 118.1 1444.7 L 116.1 1441.4 Q 115.9 1441.0, 115.6 1440.5 Q 115.4 1440.1, 115.3 1440.0 L 115.3 1444.7 L 114.6 1444.7 L 114.6 1439.0 L 115.5 1439.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 109.3 1399.4 L 111.2 1402.4 Q 111.3 1402.7, 111.6 1403.2 Q 111.9 1403.7, 111.9 1403.8 L 111.9 1399.4 L 112.7 1399.4 L 112.7 1405.0 L 111.9 1405.0 L 109.9 1401.8 Q 109.7 1401.4, 109.4 1400.9 Q 109.2 1400.5, 109.1 1400.4 L 109.1 1405.0 L 108.4 1405.0 L 108.4 1399.4 L 109.3 1399.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 44.5,1435.5 L 52.0,1431.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 52.0,1431.5 L 59.5,1427.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 59.5,1427.5 L 59.8,1419.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 59.8,1419.2 L 60.1,1410.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 63.6,1425.2 L 63.8,1419.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 63.8,1419.3 L 64.0,1413.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 73.9,1436.5 L 66.7,1432.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 66.7,1432.0 L 59.5,1427.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 62.9,1406.1 L 70.4,1402.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 70.4,1402.1 L 77.9,1398.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 77.9,1398.1 L 94.9,1408.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 78.4,1403.1 L 90.3,1410.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 94.9,1408.7 L 112.6,1399.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-4\" d=\"M 94.3,1428.7 L 94.9,1408.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 112.6,1399.3 L 129.6,1409.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 113.1,1404.3 L 125.0,1411.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 129.6,1409.9 L 129.0,1429.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 86.7,1432.7 L 79.2,1436.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 59.1 1508.3 L 60.5 1508.3 L 60.5 1523.8 L 59.1 1523.8 L 59.1 1508.3 \" fill=\"#000000\"/>\n",
@@ -4548,32 +4512,40 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 282.2,1395.8 L 279.9,1403.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 279.9,1403.7 L 277.6,1411.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 277.6,1411.6 L 291.5,1426.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 276.8,1416.5 L 286.5,1426.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 258.2,1416.4 L 277.6,1411.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 291.5,1426.0 L 285.9,1445.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 285.9,1445.3 L 266.5,1450.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 282.1,1442.1 L 268.4,1445.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 266.5,1450.1 L 252.6,1435.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 252.6,1435.7 L 243.9,1435.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 243.9,1435.9 L 235.2,1436.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 258.2,1416.4 L 252.6,1435.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 261.2,1420.4 L 257.3,1433.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 231.3,1433.0 L 228.5,1425.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 228.5,1425.2 L 225.7,1417.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 234.3,1429.3 L 232.3,1423.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 232.3,1423.8 L 230.3,1418.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 225.7,1417.5 L 232.3,1412.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 232.3,1412.3 L 238.9,1407.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 244.2,1406.9 L 251.2,1411.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 251.2,1411.7 L 258.2,1416.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 280.6 1392.3 Q 280.6 1391.0, 281.2 1390.2 Q 281.9 1389.5, 283.2 1389.5 Q 284.4 1389.5, 285.1 1390.2 Q 285.8 1391.0, 285.8 1392.3 Q 285.8 1393.7, 285.1 1394.5 Q 284.4 1395.3, 283.2 1395.3 Q 281.9 1395.3, 281.2 1394.5 Q 280.6 1393.7, 280.6 1392.3 M 283.2 1394.6 Q 284.0 1394.6, 284.5 1394.1 Q 285.0 1393.5, 285.0 1392.3 Q 285.0 1391.2, 284.5 1390.7 Q 284.0 1390.1, 283.2 1390.1 Q 282.3 1390.1, 281.8 1390.7 Q 281.4 1391.2, 281.4 1392.3 Q 281.4 1393.5, 281.8 1394.1 Q 282.3 1394.6, 283.2 1394.6 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-0\" d=\"M 286.5 1389.5 L 287.2 1389.5 L 287.2 1391.9 L 290.1 1391.9 L 290.1 1389.5 L 290.9 1389.5 L 290.9 1395.2 L 290.1 1395.2 L 290.1 1392.6 L 287.2 1392.6 L 287.2 1395.2 L 286.5 1395.2 L 286.5 1389.5 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-6\" d=\"M 231.3 1433.5 L 233.2 1436.5 Q 233.3 1436.8, 233.6 1437.3 Q 233.9 1437.8, 234.0 1437.9 L 234.0 1433.5 L 234.7 1433.5 L 234.7 1439.1 L 233.9 1439.1 L 231.9 1435.9 Q 231.7 1435.5, 231.4 1435.0 Q 231.2 1434.6, 231.1 1434.5 L 231.1 1439.1 L 230.4 1439.1 L 230.4 1433.5 L 231.3 1433.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 240.3 1402.3 L 242.2 1405.3 Q 242.3 1405.6, 242.6 1406.1 Q 242.9 1406.7, 243.0 1406.7 L 243.0 1402.3 L 243.7 1402.3 L 243.7 1408.0 L 242.9 1408.0 L 240.9 1404.7 Q 240.7 1404.3, 240.5 1403.9 Q 240.2 1403.4, 240.1 1403.3 L 240.1 1408.0 L 239.4 1408.0 L 239.4 1402.3 L 240.3 1402.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 239.3 1396.1 L 240.1 1396.1 L 240.1 1398.5 L 243.0 1398.5 L 243.0 1396.1 L 243.8 1396.1 L 243.8 1401.7 L 243.0 1401.7 L 243.0 1399.1 L 240.1 1399.1 L 240.1 1401.7 L 239.3 1401.7 L 239.3 1396.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 199.9,1425.0 L 206.8,1429.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 206.8,1429.5 L 213.6,1433.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 219.9,1434.3 L 227.2,1430.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 227.2,1430.6 L 234.6,1426.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 234.6,1426.8 L 235.7,1406.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 238.8,1424.0 L 239.5,1410.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-2\" d=\"M 251.4,1437.8 L 234.6,1426.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 235.7,1406.8 L 253.5,1397.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 253.5,1397.7 L 270.3,1408.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 253.9,1402.7 L 265.6,1410.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 270.3,1408.7 L 278.0,1404.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 278.0,1404.8 L 285.6,1400.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-11 atom-5\" d=\"M 269.3,1428.7 L 270.3,1408.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 290.9,1401.3 L 297.9,1405.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 297.9,1405.9 L 305.0,1410.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 290.8,1406.0 L 295.8,1409.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 301.3,1431.9 L 293.7,1435.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 217.5 1519.4 L 220.0 1519.4 L 220.0 1511.0 L 217.3 1511.8 L 216.9 1510.9 L 220.4 1509.3 L 221.5 1509.5 L 221.5 1519.4 L 223.7 1519.4 L 223.7 1520.7 L 217.5 1520.7 L 217.5 1519.4 \" fill=\"#000000\"/>\n",
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        "<path d=\"M 229.1 1508.3 L 230.5 1508.3 L 230.5 1523.8 L 229.1 1523.8 L 229.1 1508.3 \" fill=\"#000000\"/>\n",
@@ -4589,34 +4561,31 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 406.9,1395.5 L 408.7,1403.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 408.7,1403.5 L 410.5,1411.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 410.8,1394.6 L 412.6,1402.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 412.6,1402.7 L 414.5,1410.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 412.5,1411.1 L 397.8,1424.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 431.7,1417.1 L 412.5,1411.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 397.8,1424.8 L 402.3,1444.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 402.4,1426.8 L 405.5,1440.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 402.3,1444.3 L 410.5,1446.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 410.5,1446.9 L 418.8,1449.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 424.1,1447.8 L 430.1,1442.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 430.1,1442.2 L 436.1,1436.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 436.1,1436.6 L 444.4,1439.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 444.4,1439.2 L 452.6,1441.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 439.8,1433.5 L 445.5,1435.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 445.5,1435.3 L 451.3,1437.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 431.7,1417.1 L 436.1,1436.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 457.9,1440.1 L 463.9,1434.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 463.9,1434.5 L 470.0,1428.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 470.0,1428.9 L 465.5,1409.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 465.4,1426.8 L 462.3,1413.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 465.5,1409.3 L 446.4,1403.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 446.4,1403.4 L 431.7,1417.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 446.9,1408.4 L 436.6,1418.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 405.4 1391.6 Q 405.4 1390.3, 406.1 1389.5 Q 406.8 1388.7, 408.0 1388.7 Q 409.3 1388.7, 410.0 1389.5 Q 410.6 1390.3, 410.6 1391.6 Q 410.6 1393.0, 410.0 1393.8 Q 409.3 1394.6, 408.0 1394.6 Q 406.8 1394.6, 406.1 1393.8 Q 405.4 1393.0, 405.4 1391.6 M 408.0 1393.9 Q 408.9 1393.9, 409.4 1393.3 Q 409.8 1392.8, 409.8 1391.6 Q 409.8 1390.5, 409.4 1389.9 Q 408.9 1389.4, 408.0 1389.4 Q 407.2 1389.4, 406.7 1389.9 Q 406.2 1390.5, 406.2 1391.6 Q 406.2 1392.8, 406.7 1393.3 Q 407.2 1393.9, 408.0 1393.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-4\" d=\"M 420.2 1447.4 L 422.0 1450.4 Q 422.2 1450.7, 422.5 1451.2 Q 422.8 1451.8, 422.8 1451.8 L 422.8 1447.4 L 423.6 1447.4 L 423.6 1453.1 L 422.8 1453.1 L 420.8 1449.8 Q 420.6 1449.4, 420.3 1449.0 Q 420.1 1448.5, 420.0 1448.4 L 420.0 1453.1 L 419.3 1453.1 L 419.3 1447.4 L 420.2 1447.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 419.2 1453.6 L 420.0 1453.6 L 420.0 1456.1 L 422.9 1456.1 L 422.9 1453.6 L 423.6 1453.6 L 423.6 1459.3 L 422.9 1459.3 L 422.9 1456.7 L 420.0 1456.7 L 420.0 1459.3 L 419.2 1459.3 L 419.2 1453.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 454.0 1439.7 L 455.9 1442.7 Q 456.1 1443.0, 456.4 1443.5 Q 456.6 1444.1, 456.7 1444.1 L 456.7 1439.7 L 457.4 1439.7 L 457.4 1445.4 L 456.6 1445.4 L 454.6 1442.1 Q 454.4 1441.7, 454.2 1441.2 Q 453.9 1440.8, 453.9 1440.7 L 453.9 1445.4 L 453.1 1445.4 L 453.1 1439.7 L 454.0 1439.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 379.0,1404.7 L 381.7,1412.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 381.7,1412.5 L 384.4,1420.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 388.7,1424.2 L 397.0,1425.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 397.0,1425.8 L 405.3,1427.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 405.3,1427.4 L 411.8,1446.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 410.1,1428.9 L 414.7,1442.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-2\" d=\"M 418.4,1412.3 L 405.3,1427.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 411.8,1446.4 L 431.5,1450.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 431.5,1450.1 L 444.7,1435.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 430.5,1445.3 L 439.7,1434.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 444.7,1435.0 L 464.3,1438.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 438.1,1416.1 L 444.7,1435.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 464.3,1438.8 L 477.5,1423.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 463.3,1433.9 L 472.5,1423.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 477.5,1423.6 L 470.9,1404.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 470.9,1404.7 L 462.4,1403.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 462.4,1403.0 L 453.9,1401.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 467.6,1408.1 L 461.6,1407.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 461.6,1407.0 L 455.7,1405.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 448.6,1404.0 L 443.3,1410.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 443.3,1410.0 L 438.1,1416.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 438.1,1416.1 L 418.4,1412.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 434.4,1419.4 L 420.6,1416.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 383.0 1423.6 Q 383.0 1422.3, 383.7 1421.5 Q 384.3 1420.8, 385.6 1420.8 Q 386.9 1420.8, 387.5 1421.5 Q 388.2 1422.3, 388.2 1423.6 Q 388.2 1425.0, 387.5 1425.8 Q 386.8 1426.6, 385.6 1426.6 Q 384.3 1426.6, 383.7 1425.8 Q 383.0 1425.0, 383.0 1423.6 M 385.6 1425.9 Q 386.5 1425.9, 386.9 1425.4 Q 387.4 1424.8, 387.4 1423.6 Q 387.4 1422.5, 386.9 1422.0 Q 386.5 1421.4, 385.6 1421.4 Q 384.7 1421.4, 384.3 1422.0 Q 383.8 1422.5, 383.8 1423.6 Q 383.8 1424.8, 384.3 1425.4 Q 384.7 1425.9, 385.6 1425.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-9\" d=\"M 450.0 1398.1 L 451.8 1401.1 Q 452.0 1401.4, 452.3 1401.9 Q 452.6 1402.4, 452.6 1402.5 L 452.6 1398.1 L 453.4 1398.1 L 453.4 1403.7 L 452.6 1403.7 L 450.6 1400.4 Q 450.4 1400.1, 450.1 1399.6 Q 449.9 1399.2, 449.8 1399.0 L 449.8 1403.7 L 449.1 1403.7 L 449.1 1398.1 L 450.0 1398.1 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 387.5 1519.4 L 390.0 1519.4 L 390.0 1511.0 L 387.3 1511.8 L 386.9 1510.9 L 390.4 1509.3 L 391.5 1509.5 L 391.5 1519.4 L 393.7 1519.4 L 393.7 1520.7 L 387.5 1520.7 L 387.5 1519.4 \" fill=\"#000000\"/>\n",
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        "<path d=\"M 399.1 1508.3 L 400.5 1508.3 L 400.5 1523.8 L 399.1 1523.8 L 399.1 1508.3 \" fill=\"#000000\"/>\n",
@@ -4632,35 +4601,39 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 539.4,1418.2 L 544.9,1423.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 544.9,1423.7 L 550.5,1429.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 556.7,1431.5 L 564.8,1429.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 577.6,1425.3 L 581.2,1411.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-2\" d=\"M 587.1,1441.3 L 572.9,1427.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 578.1,1407.8 L 597.5,1402.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 597.5,1402.6 L 611.7,1416.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 596.8,1407.6 L 606.7,1417.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 611.7,1416.8 L 631.0,1411.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-11 atom-5\" d=\"M 606.5,1436.1 L 611.7,1416.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 631.0,1411.6 L 633.2,1403.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 633.2,1403.6 L 635.3,1395.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 631.0,1411.6 L 645.2,1425.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 630.3,1416.5 L 640.2,1426.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 645.2,1425.8 L 640.0,1445.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 640.0,1445.1 L 631.7,1447.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 631.7,1447.4 L 623.3,1449.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 636.5,1441.9 L 630.6,1443.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 630.6,1443.5 L 624.8,1445.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 618.0,1447.7 L 612.2,1441.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 612.2,1441.9 L 606.5,1436.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 606.5,1436.1 L 587.1,1441.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 602.5,1433.0 L 589.0,1436.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 551.0 1432.3 Q 551.0 1431.0, 551.6 1430.2 Q 552.3 1429.5, 553.6 1429.5 Q 554.8 1429.5, 555.5 1430.2 Q 556.2 1431.0, 556.2 1432.3 Q 556.2 1433.7, 555.5 1434.5 Q 554.8 1435.3, 553.6 1435.3 Q 552.3 1435.3, 551.6 1434.5 Q 551.0 1433.7, 551.0 1432.3 M 553.6 1434.6 Q 554.4 1434.6, 554.9 1434.1 Q 555.4 1433.5, 555.4 1432.3 Q 555.4 1431.2, 554.9 1430.7 Q 554.4 1430.1, 553.6 1430.1 Q 552.7 1430.1, 552.2 1430.7 Q 551.8 1431.2, 551.8 1432.3 Q 551.8 1433.5, 552.2 1434.1 Q 552.7 1434.6, 553.6 1434.6 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-7\" d=\"M 633.6 1392.2 Q 633.6 1390.9, 634.3 1390.1 Q 635.0 1389.3, 636.2 1389.3 Q 637.5 1389.3, 638.2 1390.1 Q 638.8 1390.9, 638.8 1392.2 Q 638.8 1393.6, 638.1 1394.4 Q 637.5 1395.2, 636.2 1395.2 Q 635.0 1395.2, 634.3 1394.4 Q 633.6 1393.6, 633.6 1392.2 M 636.2 1394.5 Q 637.1 1394.5, 637.6 1394.0 Q 638.0 1393.4, 638.0 1392.2 Q 638.0 1391.1, 637.6 1390.6 Q 637.1 1390.0, 636.2 1390.0 Q 635.4 1390.0, 634.9 1390.5 Q 634.4 1391.1, 634.4 1392.2 Q 634.4 1393.4, 634.9 1394.0 Q 635.4 1394.5, 636.2 1394.5 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-7\" d=\"M 639.5 1389.4 L 640.3 1389.4 L 640.3 1391.8 L 643.2 1391.8 L 643.2 1389.4 L 644.0 1389.4 L 644.0 1395.1 L 643.2 1395.1 L 643.2 1392.5 L 640.3 1392.5 L 640.3 1395.1 L 639.5 1395.1 L 639.5 1389.4 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-10\" d=\"M 619.4 1447.5 L 621.3 1450.5 Q 621.4 1450.8, 621.7 1451.3 Q 622.0 1451.8, 622.1 1451.9 L 622.1 1447.5 L 622.8 1447.5 L 622.8 1453.1 L 622.0 1453.1 L 620.0 1449.9 Q 619.8 1449.5, 619.6 1449.0 Q 619.3 1448.6, 619.2 1448.5 L 619.2 1453.1 L 618.5 1453.1 L 618.5 1447.5 L 619.4 1447.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 554.6,1414.0 L 562.6,1417.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 562.6,1417.1 L 570.6,1420.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 570.6,1420.2 L 571.9,1428.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 571.9,1428.4 L 573.2,1436.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 575.0,1422.0 L 575.9,1427.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 575.9,1427.8 L 576.8,1433.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 583.6,1409.7 L 577.1,1414.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 577.1,1414.9 L 570.6,1420.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 576.4,1441.0 L 584.4,1444.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 584.4,1444.1 L 592.4,1447.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 592.4,1447.2 L 608.0,1434.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 592.3,1442.2 L 603.2,1433.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 608.0,1434.6 L 626.7,1441.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 604.9,1414.8 L 608.0,1434.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 626.7,1441.8 L 642.3,1429.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 626.6,1436.8 L 637.5,1428.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 642.3,1429.2 L 639.2,1409.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 639.2,1409.4 L 631.2,1406.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 631.2,1406.3 L 623.2,1403.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 635.4,1412.2 L 629.8,1410.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 629.8,1410.1 L 624.2,1407.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 617.9,1404.3 L 611.4,1409.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 611.4,1409.6 L 604.9,1414.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 604.9,1414.8 L 596.9,1411.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 596.9,1411.7 L 588.9,1408.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 601.1,1417.6 L 595.5,1415.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 595.5,1415.4 L 589.9,1413.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"atom-0\" d=\"M 546.6 1415.6 Q 546.7 1415.2, 547.1 1415.0 Q 547.4 1414.8, 547.9 1414.8 Q 548.4 1414.8, 548.7 1415.1 Q 549.1 1415.4, 549.1 1416.0 Q 549.1 1416.5, 548.6 1417.1 Q 548.2 1417.6, 547.4 1418.2 L 549.1 1418.2 L 549.1 1418.6 L 546.6 1418.6 L 546.6 1418.3 Q 547.3 1417.8, 547.7 1417.4 Q 548.1 1417.0, 548.3 1416.7 Q 548.5 1416.4, 548.5 1416.0 Q 548.5 1415.7, 548.3 1415.5 Q 548.2 1415.3, 547.9 1415.3 Q 547.5 1415.3, 547.3 1415.4 Q 547.1 1415.5, 547.0 1415.8 L 546.6 1415.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 550.7 1410.1 L 552.5 1413.1 Q 552.7 1413.4, 553.0 1413.9 Q 553.3 1414.5, 553.3 1414.5 L 553.3 1410.1 L 554.1 1410.1 L 554.1 1415.8 L 553.3 1415.8 L 551.3 1412.5 Q 551.1 1412.1, 550.8 1411.7 Q 550.6 1411.2, 550.5 1411.1 L 550.5 1415.8 L 549.8 1415.8 L 549.8 1410.1 L 550.7 1410.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 572.5 1437.1 L 574.3 1440.1 Q 574.5 1440.4, 574.8 1441.0 Q 575.1 1441.5, 575.1 1441.5 L 575.1 1437.1 L 575.9 1437.1 L 575.9 1442.8 L 575.1 1442.8 L 573.1 1439.5 Q 572.9 1439.1, 572.6 1438.7 Q 572.4 1438.3, 572.3 1438.1 L 572.3 1442.8 L 571.6 1442.8 L 571.6 1437.1 L 572.5 1437.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 619.3 1399.4 L 621.2 1402.4 Q 621.3 1402.7, 621.6 1403.2 Q 621.9 1403.7, 621.9 1403.8 L 621.9 1399.4 L 622.7 1399.4 L 622.7 1405.0 L 621.9 1405.0 L 619.9 1401.8 Q 619.7 1401.4, 619.4 1400.9 Q 619.2 1400.5, 619.1 1400.4 L 619.1 1405.0 L 618.4 1405.0 L 618.4 1399.4 L 619.3 1399.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 585.0 1404.7 L 586.8 1407.7 Q 587.0 1408.0, 587.3 1408.6 Q 587.6 1409.1, 587.6 1409.1 L 587.6 1404.7 L 588.4 1404.7 L 588.4 1410.4 L 587.6 1410.4 L 585.6 1407.1 Q 585.4 1406.7, 585.1 1406.3 Q 584.9 1405.9, 584.8 1405.7 L 584.8 1410.4 L 584.1 1410.4 L 584.1 1404.7 L 585.0 1404.7 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 557.5 1519.4 L 560.0 1519.4 L 560.0 1511.0 L 557.3 1511.8 L 556.9 1510.9 L 560.4 1509.3 L 561.5 1509.5 L 561.5 1519.4 L 563.7 1519.4 L 563.7 1520.7 L 557.5 1520.7 L 557.5 1519.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 569.1 1508.3 L 570.5 1508.3 L 570.5 1523.8 L 569.1 1523.8 L 569.1 1508.3 \" fill=\"#000000\"/>\n",
@@ -4676,32 +4649,35 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 802.3,1433.7 L 785.0,1443.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 797.7,1431.7 L 785.6,1438.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 802.3,1416.9 L 802.3,1425.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 802.3,1425.3 L 802.3,1433.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 777.6,1439.4 L 770.3,1435.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 765.0,1434.5 L 756.8,1437.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 756.8,1437.2 L 748.6,1439.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-6 atom-2\" d=\"M 767.6,1413.6 L 767.6,1422.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-6 atom-2\" d=\"M 767.6,1422.0 L 767.6,1430.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 748.6,1439.8 L 743.9,1433.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 743.9,1433.4 L 739.2,1427.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 750.4,1435.6 L 747.1,1431.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 747.1,1431.1 L 743.8,1426.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 739.2,1420.3 L 743.9,1413.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 743.9,1413.8 L 748.6,1407.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 748.6,1407.4 L 767.6,1413.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 750.2,1412.2 L 763.5,1416.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 767.6,1413.6 L 785.0,1403.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 785.0,1403.6 L 792.3,1407.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 792.3,1407.8 L 799.7,1412.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 785.2,1408.3 L 790.3,1411.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 790.3,1411.3 L 795.5,1414.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-2\" d=\"M 766.4 1430.8 L 768.2 1433.8 Q 768.4 1434.1, 768.7 1434.7 Q 769.0 1435.2, 769.0 1435.2 L 769.0 1430.8 L 769.8 1430.8 L 769.8 1436.5 L 769.0 1436.5 L 767.0 1433.2 Q 766.8 1432.8, 766.5 1432.4 Q 766.3 1431.9, 766.2 1431.8 L 766.2 1436.5 L 765.5 1436.5 L 765.5 1430.8 L 766.4 1430.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 735.5 1420.8 L 737.4 1423.8 Q 737.6 1424.1, 737.9 1424.6 Q 738.2 1425.2, 738.2 1425.2 L 738.2 1420.8 L 738.9 1420.8 L 738.9 1426.5 L 738.1 1426.5 L 736.2 1423.2 Q 735.9 1422.8, 735.7 1422.4 Q 735.4 1421.9, 735.4 1421.8 L 735.4 1426.5 L 734.6 1426.5 L 734.6 1420.8 L 735.5 1420.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 801.1 1410.8 L 803.0 1413.8 Q 803.1 1414.1, 803.4 1414.6 Q 803.7 1415.1, 803.7 1415.2 L 803.7 1410.8 L 804.5 1410.8 L 804.5 1416.4 L 803.7 1416.4 L 801.7 1413.2 Q 801.5 1412.8, 801.2 1412.3 Q 801.0 1411.9, 800.9 1411.8 L 800.9 1416.4 L 800.2 1416.4 L 800.2 1410.8 L 801.1 1410.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 709.9,1425.0 L 716.8,1429.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 716.8,1429.5 L 723.6,1433.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 729.9,1434.3 L 737.2,1430.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 737.2,1430.6 L 744.6,1426.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 744.6,1426.8 L 745.7,1406.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 748.8,1424.0 L 749.5,1410.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-2\" d=\"M 761.4,1437.8 L 744.6,1426.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 745.7,1406.8 L 763.5,1397.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 763.5,1397.7 L 780.3,1408.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 763.9,1402.7 L 775.6,1410.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 780.3,1408.7 L 788.0,1404.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 788.0,1404.8 L 795.6,1400.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-11 atom-5\" d=\"M 779.3,1428.7 L 780.3,1408.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 800.9,1401.3 L 807.9,1405.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 807.9,1405.9 L 815.0,1410.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 800.8,1406.0 L 805.8,1409.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 805.8,1409.2 L 810.7,1412.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 815.0,1410.5 L 814.0,1430.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 814.0,1430.5 L 796.1,1439.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 809.5,1428.3 L 797.0,1434.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 796.1,1439.6 L 795.7,1447.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 795.7,1447.9 L 795.2,1456.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-11\" d=\"M 796.1,1439.6 L 779.3,1428.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 779.3,1428.7 L 761.4,1437.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 774.8,1426.5 L 762.3,1432.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 724.1 1435.9 Q 724.1 1434.6, 724.8 1433.8 Q 725.5 1433.1, 726.7 1433.1 Q 728.0 1433.1, 728.7 1433.8 Q 729.4 1434.6, 729.4 1435.9 Q 729.4 1437.3, 728.7 1438.1 Q 728.0 1438.9, 726.7 1438.9 Q 725.5 1438.9, 724.8 1438.1 Q 724.1 1437.3, 724.1 1435.9 M 726.7 1438.2 Q 727.6 1438.2, 728.1 1437.7 Q 728.6 1437.1, 728.6 1435.9 Q 728.6 1434.8, 728.1 1434.3 Q 727.6 1433.7, 726.7 1433.7 Q 725.9 1433.7, 725.4 1434.3 Q 724.9 1434.8, 724.9 1435.9 Q 724.9 1437.1, 725.4 1437.7 Q 725.9 1438.2, 726.7 1438.2 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-6\" d=\"M 797.0 1396.7 L 798.8 1399.7 Q 799.0 1400.0, 799.3 1400.6 Q 799.6 1401.1, 799.6 1401.1 L 799.6 1396.7 L 800.4 1396.7 L 800.4 1402.4 L 799.6 1402.4 L 797.6 1399.1 Q 797.4 1398.7, 797.1 1398.3 Q 796.9 1397.8, 796.8 1397.7 L 796.8 1402.4 L 796.1 1402.4 L 796.1 1396.7 L 797.0 1396.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 792.4 1459.6 Q 792.4 1458.3, 793.1 1457.5 Q 793.8 1456.7, 795.0 1456.7 Q 796.3 1456.7, 797.0 1457.5 Q 797.6 1458.3, 797.6 1459.6 Q 797.6 1461.0, 797.0 1461.8 Q 796.3 1462.6, 795.0 1462.6 Q 793.8 1462.6, 793.1 1461.8 Q 792.4 1461.0, 792.4 1459.6 M 795.0 1461.9 Q 795.9 1461.9, 796.4 1461.4 Q 796.8 1460.8, 796.8 1459.6 Q 796.8 1458.5, 796.4 1458.0 Q 795.9 1457.4, 795.0 1457.4 Q 794.2 1457.4, 793.7 1457.9 Q 793.2 1458.5, 793.2 1459.6 Q 793.2 1460.8, 793.7 1461.4 Q 794.2 1461.9, 795.0 1461.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-10\" d=\"M 798.3 1456.8 L 799.1 1456.8 L 799.1 1459.2 L 802.0 1459.2 L 802.0 1456.8 L 802.8 1456.8 L 802.8 1462.5 L 802.0 1462.5 L 802.0 1459.9 L 799.1 1459.9 L 799.1 1462.5 L 798.3 1462.5 L 798.3 1456.8 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 727.5 1519.4 L 730.0 1519.4 L 730.0 1511.0 L 727.3 1511.8 L 726.9 1510.9 L 730.4 1509.3 L 731.5 1509.5 L 731.5 1519.4 L 733.7 1519.4 L 733.7 1520.7 L 727.5 1520.7 L 727.5 1519.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 739.1 1508.3 L 740.5 1508.3 L 740.5 1523.8 L 739.1 1523.8 L 739.1 1508.3 \" fill=\"#000000\"/>\n",
@@ -4717,39 +4693,43 @@
        "<path d=\"M 788.0 1509.4 Q 789.9 1509.4, 790.9 1510.3 Q 791.9 1511.1, 791.9 1512.7 Q 791.9 1514.3, 790.9 1515.2 Q 789.9 1516.1, 788.0 1516.1 L 786.2 1516.1 L 786.2 1520.7 L 784.6 1520.7 L 784.6 1509.4 L 788.0 1509.4 M 788.0 1514.8 Q 789.1 1514.8, 789.7 1514.3 Q 790.3 1513.7, 790.3 1512.7 Q 790.3 1511.7, 789.7 1511.2 Q 789.1 1510.7, 788.0 1510.7 L 786.2 1510.7 L 786.2 1514.8 L 788.0 1514.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 792.4 1508.6 L 793.5 1508.6 L 793.5 1512.0 L 792.4 1512.0 L 792.4 1508.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 797.2 1508.3 L 797.2 1523.8 L 793.8 1523.8 L 793.8 1522.7 L 795.9 1522.7 L 795.9 1509.5 L 793.8 1509.5 L 793.8 1508.3 L 797.2 1508.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 894.6,1420.9 L 903.4,1402.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 899.5,1420.0 L 905.7,1407.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-5 atom-0\" d=\"M 905.8,1437.5 L 894.6,1420.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 903.4,1402.9 L 923.4,1401.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 923.4,1401.5 L 934.6,1418.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 921.7,1406.2 L 929.6,1417.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 934.6,1418.1 L 925.8,1436.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-12 atom-3\" d=\"M 951.9,1416.8 L 943.3,1417.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-12 atom-3\" d=\"M 943.3,1417.5 L 934.6,1418.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 925.8,1436.1 L 905.8,1437.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 922.6,1432.3 L 908.6,1433.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 925.8,1436.1 L 930.3,1442.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 930.3,1442.7 L 934.8,1449.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 939.7,1452.5 L 948.4,1451.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 948.4,1451.9 L 957.1,1451.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 942.0,1448.3 L 948.1,1447.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 948.1,1447.9 L 954.2,1447.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 957.1,1451.3 L 965.8,1433.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 965.8,1433.3 L 985.1,1427.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 967.6,1428.6 L 981.1,1424.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-12 atom-8\" d=\"M 956.9,1420.0 L 961.3,1426.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-12 atom-8\" d=\"M 961.3,1426.6 L 965.8,1433.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 985.1,1427.7 L 985.4,1419.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 985.4,1419.3 L 985.6,1411.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 983.1,1406.7 L 975.0,1403.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 975.0,1403.8 L 966.9,1400.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 979.3,1409.6 L 973.6,1407.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 973.6,1407.5 L 968.0,1405.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 966.9,1400.8 L 962.1,1407.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 962.1,1407.1 L 957.2,1413.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-6\" d=\"M 935.8 1449.9 L 937.7 1452.9 Q 937.9 1453.2, 938.2 1453.7 Q 938.5 1454.3, 938.5 1454.3 L 938.5 1449.9 L 939.2 1449.9 L 939.2 1455.6 L 938.5 1455.6 L 936.5 1452.3 Q 936.2 1451.9, 936.0 1451.4 Q 935.7 1451.0, 935.7 1450.9 L 935.7 1455.6 L 934.9 1455.6 L 934.9 1449.9 L 935.8 1449.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 984.5 1404.8 L 986.4 1407.8 Q 986.5 1408.1, 986.8 1408.7 Q 987.1 1409.2, 987.2 1409.2 L 987.2 1404.8 L 987.9 1404.8 L 987.9 1410.5 L 987.1 1410.5 L 985.1 1407.2 Q 984.9 1406.8, 984.7 1406.4 Q 984.4 1405.9, 984.3 1405.8 L 984.3 1410.5 L 983.6 1410.5 L 983.6 1404.8 L 984.5 1404.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-12\" d=\"M 953.3 1413.8 L 955.2 1416.8 Q 955.4 1417.1, 955.7 1417.7 Q 956.0 1418.2, 956.0 1418.2 L 956.0 1413.8 L 956.7 1413.8 L 956.7 1419.5 L 956.0 1419.5 L 954.0 1416.2 Q 953.7 1415.8, 953.5 1415.4 Q 953.2 1414.9, 953.2 1414.8 L 953.2 1419.5 L 952.4 1419.5 L 952.4 1413.8 L 953.3 1413.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 979.7,1444.3 L 959.7,1445.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 976.4,1440.6 L 962.4,1441.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-5 atom-0\" d=\"M 986.8,1429.7 L 983.3,1437.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-5 atom-0\" d=\"M 983.3,1437.0 L 979.7,1444.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 959.7,1445.8 L 948.5,1429.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 948.5,1429.2 L 957.2,1411.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 953.4,1428.2 L 959.5,1415.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-12 atom-2\" d=\"M 928.5,1430.6 L 948.5,1429.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 957.2,1411.1 L 977.2,1409.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-3 atom-6\" d=\"M 957.2,1411.1 L 952.7,1404.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-3 atom-6\" d=\"M 952.7,1404.5 L 948.3,1397.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 977.2,1409.7 L 981.7,1416.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 981.7,1416.3 L 986.2,1423.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 975.3,1413.9 L 978.4,1418.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 978.4,1418.6 L 981.5,1423.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 943.3,1394.7 L 934.7,1395.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 934.7,1395.4 L 926.0,1396.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 941.0,1398.9 L 935.0,1399.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 935.0,1399.3 L 928.9,1399.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 926.0,1396.0 L 917.2,1414.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 917.2,1414.0 L 908.9,1416.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 908.9,1416.4 L 900.6,1418.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-12 atom-8\" d=\"M 928.5,1430.6 L 917.2,1414.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-12 atom-8\" d=\"M 930.1,1425.9 L 922.2,1414.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 897.9,1422.9 L 897.6,1431.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 897.6,1431.3 L 897.3,1439.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 901.8,1425.5 L 901.6,1431.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 901.6,1431.4 L 901.4,1437.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 897.3,1439.6 L 905.4,1442.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 905.4,1442.5 L 913.5,1445.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 918.8,1443.1 L 923.6,1436.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 923.6,1436.8 L 928.5,1430.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-5\" d=\"M 987.2 1423.5 L 989.1 1426.5 Q 989.3 1426.8, 989.5 1427.3 Q 989.8 1427.9, 989.9 1427.9 L 989.9 1423.5 L 990.6 1423.5 L 990.6 1429.1 L 989.8 1429.1 L 987.8 1425.9 Q 987.6 1425.5, 987.4 1425.0 Q 987.1 1424.6, 987.0 1424.5 L 987.0 1429.1 L 986.3 1429.1 L 986.3 1423.5 L 987.2 1423.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 944.7 1391.7 L 946.6 1394.7 Q 946.8 1395.0, 947.1 1395.5 Q 947.4 1396.1, 947.4 1396.1 L 947.4 1391.7 L 948.1 1391.7 L 948.1 1397.4 L 947.4 1397.4 L 945.4 1394.1 Q 945.1 1393.7, 944.9 1393.3 Q 944.6 1392.8, 944.6 1392.7 L 944.6 1397.4 L 943.8 1397.4 L 943.8 1391.7 L 944.7 1391.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 896.7 1416.7 L 898.6 1419.7 Q 898.8 1420.0, 899.1 1420.6 Q 899.4 1421.1, 899.4 1421.1 L 899.4 1416.7 L 900.1 1416.7 L 900.1 1422.4 L 899.3 1422.4 L 897.4 1419.1 Q 897.1 1418.7, 896.9 1418.3 Q 896.6 1417.8, 896.6 1417.7 L 896.6 1422.4 L 895.8 1422.4 L 895.8 1416.7 L 896.7 1416.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 914.9 1443.6 L 916.8 1446.6 Q 916.9 1446.9, 917.2 1447.4 Q 917.5 1448.0, 917.6 1448.0 L 917.6 1443.6 L 918.3 1443.6 L 918.3 1449.3 L 917.5 1449.3 L 915.5 1446.0 Q 915.3 1445.6, 915.1 1445.1 Q 914.8 1444.7, 914.7 1444.6 L 914.7 1449.3 L 914.0 1449.3 L 914.0 1443.6 L 914.9 1443.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 913.9 1449.8 L 914.7 1449.8 L 914.7 1452.2 L 917.6 1452.2 L 917.6 1449.8 L 918.4 1449.8 L 918.4 1455.5 L 917.6 1455.5 L 917.6 1452.9 L 914.7 1452.9 L 914.7 1455.5 L 913.9 1455.5 L 913.9 1449.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 897.5 1519.4 L 900.0 1519.4 L 900.0 1511.0 L 897.3 1511.8 L 896.9 1510.9 L 900.4 1509.3 L 901.5 1509.5 L 901.5 1519.4 L 903.7 1519.4 L 903.7 1520.7 L 897.5 1520.7 L 897.5 1519.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 909.1 1508.3 L 910.5 1508.3 L 910.5 1523.8 L 909.1 1523.8 L 909.1 1508.3 \" fill=\"#000000\"/>\n",
@@ -4765,32 +4745,46 @@
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        "<path d=\"M 962.4 1508.6 L 963.5 1508.6 L 963.5 1512.0 L 962.4 1512.0 L 962.4 1508.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 967.2 1508.3 L 967.2 1523.8 L 963.8 1523.8 L 963.8 1522.7 L 965.9 1522.7 L 965.9 1509.5 L 963.8 1509.5 L 963.8 1508.3 L 967.2 1508.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1132.1,1395.9 L 1129.9,1403.8\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1129.9,1403.8 L 1127.6,1411.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1127.6,1411.6 L 1141.5,1426.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1126.8,1416.5 L 1136.5,1426.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 1108.2,1416.4 L 1127.6,1411.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1141.5,1426.0 L 1135.9,1445.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1135.9,1445.3 L 1127.5,1447.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1127.5,1447.4 L 1119.1,1449.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1132.5,1442.0 L 1126.6,1443.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1126.6,1443.5 L 1120.7,1444.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1113.8,1447.3 L 1108.2,1441.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1108.2,1441.5 L 1102.6,1435.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1102.6,1435.7 L 1093.9,1435.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1093.9,1435.9 L 1085.2,1436.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 1108.2,1416.4 L 1102.6,1435.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 1111.2,1420.4 L 1107.3,1433.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1081.3,1433.0 L 1078.5,1425.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1078.5,1425.2 L 1075.7,1417.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"atom-0\" d=\"M 1131.0 1392.5 Q 1131.0 1391.1, 1131.6 1390.4 Q 1132.3 1389.6, 1133.6 1389.6 Q 1134.7 1389.6, 1135.4 1390.4 L 1134.8 1390.9 Q 1134.4 1390.3, 1133.6 1390.3 Q 1132.7 1390.3, 1132.3 1390.9 Q 1131.8 1391.4, 1131.8 1392.5 Q 1131.8 1393.6, 1132.3 1394.2 Q 1132.7 1394.8, 1133.7 1394.8 Q 1134.3 1394.8, 1135.0 1394.4 L 1135.2 1395.0 Q 1134.9 1395.2, 1134.5 1395.3 Q 1134.0 1395.4, 1133.5 1395.4 Q 1132.3 1395.4, 1131.6 1394.7 Q 1131.0 1393.9, 1131.0 1392.5 \" fill=\"#00CC00\"/>\n",
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-       "<path class=\"atom-4\" d=\"M 1115.2 1447.3 L 1117.1 1450.3 Q 1117.3 1450.6, 1117.6 1451.1 Q 1117.9 1451.6, 1117.9 1451.7 L 1117.9 1447.3 L 1118.6 1447.3 L 1118.6 1452.9 L 1117.9 1452.9 L 1115.9 1449.7 Q 1115.6 1449.3, 1115.4 1448.8 Q 1115.1 1448.4, 1115.1 1448.2 L 1115.1 1452.9 L 1114.3 1452.9 L 1114.3 1447.3 L 1115.2 1447.3 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1111.5,1457.7 L 1111.5,1449.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1128.9,1431.0 L 1146.3,1441.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1146.3,1441.0 L 1163.6,1431.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1146.9,1436.0 L 1159.0,1429.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1163.6,1431.0 L 1163.6,1422.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1163.6,1422.6 L 1163.6,1414.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1161.0,1409.4 L 1153.6,1405.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1153.6,1405.2 L 1146.3,1400.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1156.8,1411.6 L 1151.6,1408.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1151.6,1408.6 L 1146.5,1405.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1146.3,1400.9 L 1128.9,1410.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1128.9,1410.9 L 1111.5,1400.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1124.3,1412.9 L 1112.1,1405.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1111.5,1400.9 L 1094.2,1410.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1094.2,1410.9 L 1076.8,1400.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1089.6,1412.9 L 1077.4,1405.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-14 atom-9\" d=\"M 1094.2,1431.0 L 1094.2,1410.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1076.8,1400.9 L 1069.5,1405.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1069.5,1405.2 L 1062.1,1409.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1059.4,1414.3 L 1059.4,1422.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1059.4,1422.6 L 1059.4,1431.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1063.5,1416.8 L 1063.5,1422.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1063.5,1422.6 L 1063.5,1428.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1059.4,1431.0 L 1066.8,1435.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1066.8,1435.2 L 1074.2,1439.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 1079.5,1439.5 L 1086.8,1435.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 1086.8,1435.2 L 1094.2,1431.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 1079.7,1434.7 L 1084.8,1431.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 1084.8,1431.8 L 1090.0,1428.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1110.3 1458.2 L 1112.1 1461.2 Q 1112.3 1461.5, 1112.6 1462.1 Q 1112.9 1462.6, 1112.9 1462.6 L 1112.9 1458.2 L 1113.7 1458.2 L 1113.7 1463.9 L 1112.9 1463.9 L 1110.9 1460.6 Q 1110.7 1460.2, 1110.4 1459.8 Q 1110.2 1459.3, 1110.1 1459.2 L 1110.1 1463.9 L 1109.4 1463.9 L 1109.4 1458.2 L 1110.3 1458.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1114.4 1458.2 L 1115.1 1458.2 L 1115.1 1460.6 L 1118.0 1460.6 L 1118.0 1458.2 L 1118.8 1458.2 L 1118.8 1463.9 L 1118.0 1463.9 L 1118.0 1461.3 L 1115.1 1461.3 L 1115.1 1463.9 L 1114.4 1463.9 L 1114.4 1458.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1119.1 1463.7 Q 1119.2 1463.3, 1119.6 1463.1 Q 1119.9 1462.9, 1120.3 1462.9 Q 1120.9 1462.9, 1121.2 1463.2 Q 1121.5 1463.6, 1121.5 1464.1 Q 1121.5 1464.7, 1121.1 1465.2 Q 1120.7 1465.7, 1119.9 1466.3 L 1121.6 1466.3 L 1121.6 1466.7 L 1119.1 1466.7 L 1119.1 1466.4 Q 1119.8 1465.9, 1120.2 1465.5 Q 1120.6 1465.1, 1120.8 1464.8 Q 1121.0 1464.5, 1121.0 1464.1 Q 1121.0 1463.8, 1120.8 1463.6 Q 1120.6 1463.4, 1120.3 1463.4 Q 1120.0 1463.4, 1119.8 1463.5 Q 1119.6 1463.6, 1119.5 1463.9 L 1119.1 1463.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 1162.4 1408.1 L 1164.2 1411.1 Q 1164.4 1411.4, 1164.7 1411.9 Q 1165.0 1412.5, 1165.0 1412.5 L 1165.0 1408.1 L 1165.8 1408.1 L 1165.8 1413.8 L 1165.0 1413.8 L 1163.0 1410.5 Q 1162.8 1410.1, 1162.5 1409.7 Q 1162.3 1409.2, 1162.2 1409.1 L 1162.2 1413.8 L 1161.5 1413.8 L 1161.5 1408.1 L 1162.4 1408.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 1058.2 1408.1 L 1060.1 1411.1 Q 1060.2 1411.4, 1060.5 1411.9 Q 1060.8 1412.5, 1060.8 1412.5 L 1060.8 1408.1 L 1061.6 1408.1 L 1061.6 1413.8 L 1060.8 1413.8 L 1058.8 1410.5 Q 1058.6 1410.1, 1058.3 1409.7 Q 1058.1 1409.2, 1058.0 1409.1 L 1058.0 1413.8 L 1057.3 1413.8 L 1057.3 1408.1 L 1058.2 1408.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-13\" d=\"M 1075.6 1438.2 L 1077.4 1441.2 Q 1077.6 1441.5, 1077.9 1442.0 Q 1078.2 1442.5, 1078.2 1442.6 L 1078.2 1438.2 L 1079.0 1438.2 L 1079.0 1443.8 L 1078.2 1443.8 L 1076.2 1440.6 Q 1076.0 1440.2, 1075.7 1439.7 Q 1075.5 1439.3, 1075.4 1439.2 L 1075.4 1443.8 L 1074.7 1443.8 L 1074.7 1438.2 L 1075.6 1438.2 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1067.5 1519.4 L 1070.0 1519.4 L 1070.0 1511.0 L 1067.3 1511.8 L 1066.9 1510.9 L 1070.4 1509.3 L 1071.5 1509.5 L 1071.5 1519.4 L 1073.7 1519.4 L 1073.7 1520.7 L 1067.5 1520.7 L 1067.5 1519.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 1508.3 L 1080.5 1508.3 L 1080.5 1523.8 L 1079.1 1523.8 L 1079.1 1508.3 \" fill=\"#000000\"/>\n",
@@ -4806,39 +4800,52 @@
        "<path d=\"M 1128.0 1509.4 Q 1129.9 1509.4, 1130.9 1510.3 Q 1131.9 1511.1, 1131.9 1512.7 Q 1131.9 1514.3, 1130.9 1515.2 Q 1129.9 1516.1, 1128.0 1516.1 L 1126.2 1516.1 L 1126.2 1520.7 L 1124.6 1520.7 L 1124.6 1509.4 L 1128.0 1509.4 M 1128.0 1514.8 Q 1129.1 1514.8, 1129.7 1514.3 Q 1130.3 1513.7, 1130.3 1512.7 Q 1130.3 1511.7, 1129.7 1511.2 Q 1129.1 1510.7, 1128.0 1510.7 L 1126.2 1510.7 L 1126.2 1514.8 L 1128.0 1514.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.4 1508.6 L 1133.5 1508.6 L 1133.5 1512.0 L 1132.4 1512.0 L 1132.4 1508.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.2 1508.3 L 1137.2 1523.8 L 1133.8 1523.8 L 1133.8 1522.7 L 1135.9 1522.7 L 1135.9 1509.5 L 1133.8 1509.5 L 1133.8 1508.3 L 1137.2 1508.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 68.8,1564.9 L 70.6,1573.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 70.6,1573.0 L 72.5,1581.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 72.5,1581.1 L 66.5,1586.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 66.5,1586.7 L 60.5,1592.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 73.4,1585.8 L 69.2,1589.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 69.2,1589.7 L 65.0,1593.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 91.7,1587.1 L 72.5,1581.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 58.6,1598.1 L 60.4,1606.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 62.3,1614.3 L 70.5,1616.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 70.5,1616.9 L 78.8,1619.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 65.9,1611.3 L 71.7,1613.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 71.7,1613.0 L 77.5,1614.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 84.1,1617.8 L 90.1,1612.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 90.1,1612.2 L 96.1,1606.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 96.1,1606.6 L 115.3,1612.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 100.2,1603.7 L 113.6,1607.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 130.0,1598.9 L 125.5,1579.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 125.4,1596.8 L 122.3,1583.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 125.5,1579.3 L 117.3,1576.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 117.3,1576.8 L 109.0,1574.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 103.7,1575.9 L 97.7,1581.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 97.7,1581.5 L 91.7,1587.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 104.6,1580.5 L 100.4,1584.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 100.4,1584.4 L 96.2,1588.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 66.8 1558.8 L 68.6 1561.8 Q 68.8 1562.1, 69.1 1562.6 Q 69.4 1563.1, 69.4 1563.2 L 69.4 1558.8 L 70.2 1558.8 L 70.2 1564.4 L 69.4 1564.4 L 67.4 1561.2 Q 67.2 1560.8, 66.9 1560.3 Q 66.7 1559.9, 66.6 1559.7 L 66.6 1564.4 L 65.9 1564.4 L 65.9 1558.8 L 66.8 1558.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 70.9 1558.8 L 71.6 1558.8 L 71.6 1561.2 L 74.5 1561.2 L 74.5 1558.8 L 75.3 1558.8 L 75.3 1564.4 L 74.5 1564.4 L 74.5 1561.8 L 71.6 1561.8 L 71.6 1564.4 L 70.9 1564.4 L 70.9 1558.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 75.6 1564.2 Q 75.7 1563.9, 76.1 1563.7 Q 76.4 1563.5, 76.8 1563.5 Q 77.4 1563.5, 77.7 1563.8 Q 78.0 1564.1, 78.0 1564.6 Q 78.0 1565.2, 77.6 1565.7 Q 77.2 1566.2, 76.4 1566.9 L 78.1 1566.9 L 78.1 1567.3 L 75.6 1567.3 L 75.6 1566.9 Q 76.3 1566.4, 76.7 1566.1 Q 77.1 1565.7, 77.3 1565.4 Q 77.5 1565.0, 77.5 1564.7 Q 77.5 1564.3, 77.3 1564.1 Q 77.2 1563.9, 76.8 1563.9 Q 76.5 1563.9, 76.3 1564.0 Q 76.1 1564.2, 76.0 1564.4 L 75.6 1564.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 56.5 1591.9 L 58.4 1594.9 Q 58.6 1595.2, 58.9 1595.8 Q 59.2 1596.3, 59.2 1596.4 L 59.2 1591.9 L 60.0 1591.9 L 60.0 1597.6 L 59.2 1597.6 L 57.2 1594.3 Q 56.9 1593.9, 56.7 1593.5 Q 56.5 1593.1, 56.4 1592.9 L 56.4 1597.6 L 55.6 1597.6 L 55.6 1591.9 L 56.5 1591.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 80.2 1617.4 L 82.0 1620.4 Q 82.2 1620.7, 82.5 1621.2 Q 82.8 1621.8, 82.8 1621.8 L 82.8 1617.4 L 83.6 1617.4 L 83.6 1623.1 L 82.8 1623.1 L 80.8 1619.8 Q 80.6 1619.4, 80.3 1619.0 Q 80.1 1618.5, 80.0 1618.4 L 80.0 1623.1 L 79.3 1623.1 L 79.3 1617.4 L 80.2 1617.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 105.1 1570.6 L 107.0 1573.6 Q 107.1 1573.9, 107.4 1574.4 Q 107.7 1575.0, 107.8 1575.0 L 107.8 1570.6 L 108.5 1570.6 L 108.5 1576.3 L 107.7 1576.3 L 105.7 1573.0 Q 105.5 1572.6, 105.2 1572.1 Q 105.0 1571.7, 104.9 1571.6 L 104.9 1576.3 L 104.2 1576.3 L 104.2 1570.6 L 105.1 1570.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 95.7,1556.5 L 92.8,1564.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 92.8,1564.2 L 90.0,1571.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 99.4,1557.9 L 96.6,1565.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 96.6,1565.6 L 93.7,1573.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 91.8,1572.5 L 72.1,1575.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-20 atom-20 atom-1\" d=\"M 101.9,1584.8 L 96.9,1578.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-20 atom-20 atom-1\" d=\"M 96.9,1578.6 L 91.8,1572.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 72.1,1575.8 L 59.3,1560.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 67.1,1576.1 L 58.1,1565.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-21 atom-11 atom-2\" d=\"M 65.1,1594.6 L 72.1,1575.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 59.3,1560.4 L 39.5,1563.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 39.5,1563.7 L 32.5,1582.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 42.2,1567.9 L 37.3,1581.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 32.5,1582.5 L 45.3,1597.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 45.3,1597.9 L 38.3,1616.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 48.0,1602.2 L 43.1,1615.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-23 atom-11 atom-6\" d=\"M 65.1,1594.6 L 45.3,1597.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 38.3,1616.7 L 51.0,1632.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 51.0,1632.2 L 70.8,1628.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 53.3,1627.7 L 67.2,1625.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 70.8,1628.9 L 77.8,1610.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 77.8,1610.1 L 65.1,1594.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 79.0,1605.2 L 70.1,1594.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 77.8,1610.1 L 97.6,1606.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 97.6,1606.8 L 104.1,1611.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 104.1,1611.9 L 110.6,1617.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 102.0,1605.2 L 106.6,1608.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 106.6,1608.8 L 111.2,1612.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-22 atom-20 atom-12\" d=\"M 103.4,1591.3 L 100.5,1599.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-22 atom-20 atom-12\" d=\"M 100.5,1599.0 L 97.6,1606.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 115.9,1617.5 L 123.0,1612.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 123.0,1612.8 L 130.0,1608.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 130.0,1608.2 L 149.4,1613.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 133.9,1605.0 L 147.5,1608.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-24 atom-19 atom-14\" d=\"M 124.6,1588.9 L 130.0,1608.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-15 atom-16\" d=\"M 149.4,1613.2 L 163.5,1598.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 163.5,1598.9 L 158.1,1579.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-16 atom-16 atom-17\" d=\"M 158.8,1597.1 L 155.0,1583.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-17 atom-17 atom-18\" d=\"M 158.1,1579.6 L 138.7,1574.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-18 atom-18 atom-19\" d=\"M 138.7,1574.5 L 124.6,1588.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-18 atom-18 atom-19\" d=\"M 139.4,1579.5 L 129.6,1589.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-19 atom-19 atom-20\" d=\"M 124.6,1588.9 L 115.9,1588.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-19 atom-19 atom-20\" d=\"M 115.9,1588.5 L 107.3,1588.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 96.3 1553.8 Q 96.3 1552.4, 96.9 1551.6 Q 97.6 1550.9, 98.9 1550.9 Q 100.1 1550.9, 100.8 1551.6 Q 101.5 1552.4, 101.5 1553.8 Q 101.5 1555.1, 100.8 1555.9 Q 100.1 1556.7, 98.9 1556.7 Q 97.6 1556.7, 96.9 1555.9 Q 96.3 1555.1, 96.3 1553.8 M 98.9 1556.1 Q 99.7 1556.1, 100.2 1555.5 Q 100.7 1554.9, 100.7 1553.8 Q 100.7 1552.6, 100.2 1552.1 Q 99.7 1551.5, 98.9 1551.5 Q 98.0 1551.5, 97.5 1552.1 Q 97.1 1552.6, 97.1 1553.8 Q 97.1 1554.9, 97.5 1555.5 Q 98.0 1556.1, 98.9 1556.1 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-13\" d=\"M 112.0 1616.4 L 113.9 1619.4 Q 114.1 1619.7, 114.4 1620.2 Q 114.7 1620.8, 114.7 1620.8 L 114.7 1616.4 L 115.4 1616.4 L 115.4 1622.1 L 114.7 1622.1 L 112.7 1618.8 Q 112.4 1618.4, 112.2 1618.0 Q 111.9 1617.5, 111.9 1617.4 L 111.9 1622.1 L 111.1 1622.1 L 111.1 1616.4 L 112.0 1616.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-20\" d=\"M 103.3 1585.1 L 105.2 1588.2 Q 105.4 1588.5, 105.7 1589.0 Q 106.0 1589.5, 106.0 1589.6 L 106.0 1585.1 L 106.8 1585.1 L 106.8 1590.8 L 106.0 1590.8 L 104.0 1587.5 Q 103.7 1587.2, 103.5 1586.7 Q 103.3 1586.3, 103.2 1586.1 L 103.2 1590.8 L 102.5 1590.8 L 102.5 1585.1 L 103.3 1585.1 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 1689.4 L 50.0 1689.4 L 50.0 1681.0 L 47.3 1681.8 L 46.9 1680.9 L 50.4 1679.3 L 51.5 1679.5 L 51.5 1689.4 L 53.7 1689.4 L 53.7 1690.7 L 47.5 1690.7 L 47.5 1689.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 1678.3 L 60.5 1678.3 L 60.5 1693.8 L 59.1 1693.8 L 59.1 1678.3 \" fill=\"#000000\"/>\n",
@@ -4854,39 +4861,33 @@
        "<path d=\"M 108.0 1679.4 Q 109.9 1679.4, 110.9 1680.3 Q 111.9 1681.1, 111.9 1682.7 Q 111.9 1684.3, 110.9 1685.2 Q 109.9 1686.1, 108.0 1686.1 L 106.2 1686.1 L 106.2 1690.7 L 104.6 1690.7 L 104.6 1679.4 L 108.0 1679.4 M 108.0 1684.8 Q 109.1 1684.8, 109.7 1684.3 Q 110.3 1683.7, 110.3 1682.7 Q 110.3 1681.7, 109.7 1681.2 Q 109.1 1680.7, 108.0 1680.7 L 106.2 1680.7 L 106.2 1684.8 L 108.0 1684.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 112.4 1678.6 L 113.5 1678.6 L 113.5 1682.0 L 112.4 1682.0 L 112.4 1678.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 1678.3 L 117.2 1693.8 L 113.8 1693.8 L 113.8 1692.7 L 115.9 1692.7 L 115.9 1679.5 L 113.8 1679.5 L 113.8 1678.3 L 117.2 1678.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 219.8,1607.6 L 238.1,1615.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 224.2,1605.2 L 237.0,1610.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-0\" d=\"M 221.5,1591.0 L 220.7,1599.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-0\" d=\"M 220.7,1599.3 L 219.8,1607.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 238.1,1615.8 L 251.5,1600.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 251.5,1600.9 L 241.5,1583.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 246.5,1600.3 L 239.5,1588.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-2\" d=\"M 271.6,1600.9 L 251.5,1600.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 241.5,1583.5 L 245.5,1576.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 245.5,1576.5 L 249.6,1569.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-3 atom-11\" d=\"M 241.5,1583.5 L 233.0,1585.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-3 atom-11\" d=\"M 233.0,1585.3 L 224.5,1587.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 254.2,1566.2 L 262.9,1566.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 262.9,1566.2 L 271.6,1566.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 256.8,1570.2 L 262.9,1570.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 262.9,1570.2 L 268.9,1570.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 271.6,1566.2 L 281.6,1583.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 281.6,1583.5 L 290.1,1585.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 290.1,1585.3 L 298.5,1587.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-10 atom-6\" d=\"M 271.6,1600.9 L 281.6,1583.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-10 atom-6\" d=\"M 269.6,1596.3 L 276.6,1584.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 301.5,1591.0 L 302.9,1604.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 297.8,1593.5 L 298.7,1602.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 300.6,1608.8 L 287.6,1614.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 282.3,1612.9 L 276.9,1606.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 276.9,1606.9 L 271.6,1600.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-4\" d=\"M 250.3 1563.3 L 252.1 1566.3 Q 252.3 1566.6, 252.6 1567.2 Q 252.9 1567.7, 252.9 1567.7 L 252.9 1563.3 L 253.7 1563.3 L 253.7 1569.0 L 252.9 1569.0 L 250.9 1565.7 Q 250.7 1565.3, 250.4 1564.9 Q 250.2 1564.5, 250.1 1564.3 L 250.1 1569.0 L 249.4 1569.0 L 249.4 1563.3 L 250.3 1563.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 299.9 1584.9 L 301.8 1587.9 Q 302.0 1588.2, 302.3 1588.7 Q 302.6 1589.2, 302.6 1589.3 L 302.6 1584.9 L 303.3 1584.9 L 303.3 1590.5 L 302.6 1590.5 L 300.6 1587.3 Q 300.3 1586.9, 300.1 1586.4 Q 299.8 1586.0, 299.8 1585.9 L 299.8 1590.5 L 299.0 1590.5 L 299.0 1584.9 L 299.9 1584.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 302.0 1604.8 L 303.9 1607.8 Q 304.1 1608.1, 304.4 1608.6 Q 304.7 1609.2, 304.7 1609.2 L 304.7 1604.8 L 305.4 1604.8 L 305.4 1610.5 L 304.7 1610.5 L 302.7 1607.2 Q 302.4 1606.8, 302.2 1606.4 Q 301.9 1605.9, 301.9 1605.8 L 301.9 1610.5 L 301.1 1610.5 L 301.1 1604.8 L 302.0 1604.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 283.7 1613.0 L 285.6 1616.0 Q 285.8 1616.3, 286.1 1616.8 Q 286.4 1617.3, 286.4 1617.4 L 286.4 1613.0 L 287.1 1613.0 L 287.1 1618.6 L 286.3 1618.6 L 284.3 1615.4 Q 284.1 1615.0, 283.9 1614.5 Q 283.6 1614.1, 283.6 1613.9 L 283.6 1618.6 L 282.8 1618.6 L 282.8 1613.0 L 283.7 1613.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 282.7 1619.2 L 283.5 1619.2 L 283.5 1621.6 L 286.4 1621.6 L 286.4 1619.2 L 287.2 1619.2 L 287.2 1624.9 L 286.4 1624.9 L 286.4 1622.3 L 283.5 1622.3 L 283.5 1624.9 L 282.7 1624.9 L 282.7 1619.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 214.6 1584.9 L 215.4 1584.9 L 215.4 1587.3 L 218.3 1587.3 L 218.3 1584.9 L 219.1 1584.9 L 219.1 1590.5 L 218.3 1590.5 L 218.3 1587.9 L 215.4 1587.9 L 215.4 1590.5 L 214.6 1590.5 L 214.6 1584.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 220.6 1584.9 L 222.5 1587.9 Q 222.7 1588.2, 223.0 1588.7 Q 223.3 1589.2, 223.3 1589.3 L 223.3 1584.9 L 224.0 1584.9 L 224.0 1590.5 L 223.3 1590.5 L 221.3 1587.3 Q 221.0 1586.9, 220.8 1586.4 Q 220.5 1586.0, 220.5 1585.9 L 220.5 1590.5 L 219.7 1590.5 L 219.7 1584.9 L 220.6 1584.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 214.9,1593.6 L 223.6,1593.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 223.6,1593.6 L 232.3,1593.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 232.3,1593.6 L 236.9,1600.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 236.9,1600.1 L 241.6,1606.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 236.9,1593.2 L 240.2,1597.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 240.2,1597.7 L 243.5,1602.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 241.6,1580.7 L 236.9,1587.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 236.9,1587.2 L 232.3,1593.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 246.7,1609.0 L 254.9,1606.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 254.9,1606.3 L 263.1,1603.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 263.1,1603.7 L 280.5,1613.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 267.7,1601.7 L 279.9,1608.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-8 atom-3\" d=\"M 263.1,1583.6 L 263.1,1603.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 280.5,1613.7 L 297.8,1603.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 297.8,1603.7 L 297.8,1583.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 293.8,1600.6 L 293.8,1586.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 297.8,1583.6 L 280.5,1573.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 280.5,1573.6 L 263.1,1583.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 279.9,1578.6 L 267.7,1585.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 263.1,1583.6 L 254.9,1580.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 254.9,1580.9 L 246.7,1578.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 202.2 1590.8 L 202.9 1590.8 L 202.9 1593.2 L 205.8 1593.2 L 205.8 1590.8 L 206.6 1590.8 L 206.6 1596.5 L 205.8 1596.5 L 205.8 1593.8 L 202.9 1593.8 L 202.9 1596.5 L 202.2 1596.5 L 202.2 1590.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 206.9 1596.3 Q 207.0 1595.9, 207.3 1595.7 Q 207.7 1595.5, 208.1 1595.5 Q 208.7 1595.5, 209.0 1595.8 Q 209.3 1596.1, 209.3 1596.7 Q 209.3 1597.2, 208.9 1597.7 Q 208.5 1598.3, 207.7 1598.9 L 209.4 1598.9 L 209.4 1599.3 L 206.9 1599.3 L 206.9 1599.0 Q 207.6 1598.5, 208.0 1598.1 Q 208.4 1597.7, 208.6 1597.4 Q 208.8 1597.0, 208.8 1596.7 Q 208.8 1596.3, 208.6 1596.1 Q 208.4 1595.9, 208.1 1595.9 Q 207.8 1595.9, 207.6 1596.1 Q 207.4 1596.2, 207.3 1596.5 L 206.9 1596.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 211.0 1590.8 L 212.8 1593.8 Q 213.0 1594.1, 213.3 1594.6 Q 213.6 1595.2, 213.6 1595.2 L 213.6 1590.8 L 214.4 1590.8 L 214.4 1596.5 L 213.6 1596.5 L 211.6 1593.2 Q 211.4 1592.8, 211.1 1592.4 Q 210.9 1591.9, 210.8 1591.8 L 210.8 1596.5 L 210.1 1596.5 L 210.1 1590.8 L 211.0 1590.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 242.8 1607.0 L 244.6 1610.0 Q 244.8 1610.3, 245.1 1610.8 Q 245.4 1611.4, 245.4 1611.4 L 245.4 1607.0 L 246.2 1607.0 L 246.2 1612.7 L 245.4 1612.7 L 243.4 1609.4 Q 243.2 1609.0, 242.9 1608.6 Q 242.7 1608.1, 242.6 1608.0 L 242.6 1612.7 L 241.9 1612.7 L 241.9 1607.0 L 242.8 1607.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 242.8 1574.6 L 244.6 1577.6 Q 244.8 1577.9, 245.1 1578.4 Q 245.4 1578.9, 245.4 1579.0 L 245.4 1574.6 L 246.2 1574.6 L 246.2 1580.2 L 245.4 1580.2 L 243.4 1577.0 Q 243.2 1576.6, 242.9 1576.1 Q 242.7 1575.7, 242.6 1575.6 L 242.6 1580.2 L 241.9 1580.2 L 241.9 1574.6 L 242.8 1574.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 241.8 1568.3 L 242.6 1568.3 L 242.6 1570.7 L 245.5 1570.7 L 245.5 1568.3 L 246.3 1568.3 L 246.3 1574.0 L 245.5 1574.0 L 245.5 1571.4 L 242.6 1571.4 L 242.6 1574.0 L 241.8 1574.0 L 241.8 1568.3 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 217.5 1689.4 L 220.0 1689.4 L 220.0 1681.0 L 217.3 1681.8 L 216.9 1680.9 L 220.4 1679.3 L 221.5 1679.5 L 221.5 1689.4 L 223.7 1689.4 L 223.7 1690.7 L 217.5 1690.7 L 217.5 1689.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 229.1 1678.3 L 230.5 1678.3 L 230.5 1693.8 L 229.1 1693.8 L 229.1 1678.3 \" fill=\"#000000\"/>\n",
@@ -4902,38 +4903,43 @@
        "<path d=\"M 278.0 1679.4 Q 279.9 1679.4, 280.9 1680.3 Q 281.9 1681.1, 281.9 1682.7 Q 281.9 1684.3, 280.9 1685.2 Q 279.9 1686.1, 278.0 1686.1 L 276.2 1686.1 L 276.2 1690.7 L 274.6 1690.7 L 274.6 1679.4 L 278.0 1679.4 M 278.0 1684.8 Q 279.1 1684.8, 279.7 1684.3 Q 280.3 1683.7, 280.3 1682.7 Q 280.3 1681.7, 279.7 1681.2 Q 279.1 1680.7, 278.0 1680.7 L 276.2 1680.7 L 276.2 1684.8 L 278.0 1684.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 282.4 1678.6 L 283.5 1678.6 L 283.5 1682.0 L 282.4 1682.0 L 282.4 1678.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 287.2 1678.3 L 287.2 1693.8 L 283.8 1693.8 L 283.8 1692.7 L 285.9 1692.7 L 285.9 1679.5 L 283.8 1679.5 L 283.8 1678.3 L 287.2 1678.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 406.9,1565.5 L 408.7,1573.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 408.7,1573.5 L 410.5,1581.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 410.8,1564.6 L 412.6,1572.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 412.6,1572.7 L 414.5,1580.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 412.5,1581.1 L 406.5,1586.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 406.5,1586.7 L 400.5,1592.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 431.7,1587.1 L 412.5,1581.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 398.6,1598.1 L 400.4,1606.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 400.4,1606.2 L 402.3,1614.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 402.3,1614.3 L 421.4,1620.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 406.3,1611.4 L 419.7,1615.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 421.4,1620.2 L 436.1,1606.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 436.1,1606.6 L 455.3,1612.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 440.2,1603.7 L 453.6,1607.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 431.7,1587.1 L 436.1,1606.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 455.3,1612.5 L 461.3,1606.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 461.3,1606.9 L 467.3,1601.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 469.2,1595.5 L 467.4,1587.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 467.4,1587.4 L 465.5,1579.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 464.7,1594.0 L 463.4,1588.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 463.4,1588.3 L 462.2,1582.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 465.5,1579.3 L 457.3,1576.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 457.3,1576.8 L 449.0,1574.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 443.7,1575.9 L 437.7,1581.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 437.7,1581.5 L 431.7,1587.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 444.6,1580.5 L 440.4,1584.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 440.4,1584.4 L 436.2,1588.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 405.4 1561.6 Q 405.4 1560.3, 406.1 1559.5 Q 406.8 1558.7, 408.0 1558.7 Q 409.3 1558.7, 410.0 1559.5 Q 410.6 1560.3, 410.6 1561.6 Q 410.6 1563.0, 410.0 1563.8 Q 409.3 1564.6, 408.0 1564.6 Q 406.8 1564.6, 406.1 1563.8 Q 405.4 1563.0, 405.4 1561.6 M 408.0 1563.9 Q 408.9 1563.9, 409.4 1563.3 Q 409.8 1562.8, 409.8 1561.6 Q 409.8 1560.5, 409.4 1559.9 Q 408.9 1559.4, 408.0 1559.4 Q 407.2 1559.4, 406.7 1559.9 Q 406.2 1560.5, 406.2 1561.6 Q 406.2 1562.8, 406.7 1563.3 Q 407.2 1563.9, 408.0 1563.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 390.5 1591.9 L 391.3 1591.9 L 391.3 1594.4 L 394.2 1594.4 L 394.2 1591.9 L 395.0 1591.9 L 395.0 1597.6 L 394.2 1597.6 L 394.2 1595.0 L 391.3 1595.0 L 391.3 1597.6 L 390.5 1597.6 L 390.5 1591.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 396.5 1591.9 L 398.4 1594.9 Q 398.6 1595.2, 398.9 1595.8 Q 399.2 1596.3, 399.2 1596.4 L 399.2 1591.9 L 400.0 1591.9 L 400.0 1597.6 L 399.2 1597.6 L 397.2 1594.3 Q 396.9 1593.9, 396.7 1593.5 Q 396.5 1593.1, 396.4 1592.9 L 396.4 1597.6 L 395.6 1597.6 L 395.6 1591.9 L 396.5 1591.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 468.7 1596.0 L 470.6 1599.1 Q 470.8 1599.3, 471.1 1599.9 Q 471.3 1600.4, 471.4 1600.5 L 471.4 1596.0 L 472.1 1596.0 L 472.1 1601.7 L 471.3 1601.7 L 469.3 1598.4 Q 469.1 1598.0, 468.9 1597.6 Q 468.6 1597.2, 468.5 1597.0 L 468.5 1601.7 L 467.8 1601.7 L 467.8 1596.0 L 468.7 1596.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 445.1 1570.6 L 447.0 1573.6 Q 447.1 1573.9, 447.4 1574.4 Q 447.7 1575.0, 447.8 1575.0 L 447.8 1570.6 L 448.5 1570.6 L 448.5 1576.3 L 447.7 1576.3 L 445.7 1573.0 Q 445.5 1572.6, 445.2 1572.1 Q 445.0 1571.7, 444.9 1571.6 L 444.9 1576.3 L 444.2 1576.3 L 444.2 1570.6 L 445.1 1570.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 480.7,1571.3 L 474.9,1577.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 474.9,1577.0 L 469.0,1582.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 469.0,1582.7 L 471.1,1590.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 471.1,1590.8 L 473.2,1598.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 465.8,1586.2 L 467.3,1591.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 467.3,1591.8 L 468.7,1597.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-1\" d=\"M 452.4,1578.1 L 460.7,1580.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-1\" d=\"M 460.7,1580.4 L 469.0,1582.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 471.4,1604.8 L 465.6,1610.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 465.6,1610.5 L 459.8,1616.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 459.8,1616.2 L 440.5,1610.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 458.0,1611.5 L 444.4,1607.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 440.5,1610.9 L 426.2,1624.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-12 atom-4\" d=\"M 435.4,1591.5 L 440.5,1610.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 426.2,1624.9 L 406.9,1619.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 424.4,1620.3 L 410.8,1616.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 406.9,1619.6 L 401.8,1600.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 401.8,1600.2 L 394.1,1596.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 394.1,1596.2 L 386.4,1592.2\" style=\"fill:none;fill-rule:evenodd;stroke:#CCCC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-11 atom-7\" d=\"M 416.1,1586.1 L 401.8,1600.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-11 atom-7\" d=\"M 416.8,1591.1 L 406.8,1601.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 384.6,1587.6 L 386.0,1579.4\" style=\"fill:none;fill-rule:evenodd;stroke:#CCCC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 386.0,1579.4 L 387.3,1571.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 387.3,1571.2 L 407.1,1568.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 390.9,1574.7 L 404.8,1572.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 407.1,1568.2 L 416.1,1586.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 416.1,1586.1 L 435.4,1591.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 435.4,1591.5 L 441.3,1585.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 441.3,1585.7 L 447.1,1580.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 440.0,1592.6 L 444.1,1588.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 444.1,1588.6 L 448.1,1584.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 482.1 1565.8 L 483.9 1568.8 Q 484.1 1569.1, 484.4 1569.7 Q 484.7 1570.2, 484.7 1570.2 L 484.7 1565.8 L 485.5 1565.8 L 485.5 1571.5 L 484.7 1571.5 L 482.7 1568.2 Q 482.5 1567.8, 482.2 1567.4 Q 482.0 1567.0, 481.9 1566.8 L 481.9 1571.5 L 481.2 1571.5 L 481.2 1565.8 L 482.1 1565.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 486.2 1565.8 L 486.9 1565.8 L 486.9 1568.2 L 489.8 1568.2 L 489.8 1565.8 L 490.6 1565.8 L 490.6 1571.5 L 489.8 1571.5 L 489.8 1568.9 L 486.9 1568.9 L 486.9 1571.5 L 486.2 1571.5 L 486.2 1565.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 490.9 1571.3 Q 491.0 1571.0, 491.3 1570.8 Q 491.7 1570.6, 492.1 1570.6 Q 492.7 1570.6, 493.0 1570.9 Q 493.3 1571.2, 493.3 1571.7 Q 493.3 1572.3, 492.9 1572.8 Q 492.5 1573.3, 491.7 1573.9 L 493.4 1573.9 L 493.4 1574.3 L 490.9 1574.3 L 490.9 1574.0 Q 491.6 1573.5, 492.0 1573.1 Q 492.4 1572.8, 492.6 1572.4 Q 492.8 1572.1, 492.8 1571.7 Q 492.8 1571.4, 492.6 1571.2 Q 492.4 1571.0, 492.1 1571.0 Q 491.8 1571.0, 491.6 1571.1 Q 491.4 1571.2, 491.3 1571.5 L 490.9 1571.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 472.8 1599.3 L 474.7 1602.3 Q 474.9 1602.6, 475.2 1603.1 Q 475.5 1603.7, 475.5 1603.7 L 475.5 1599.3 L 476.2 1599.3 L 476.2 1605.0 L 475.5 1605.0 L 473.5 1601.7 Q 473.2 1601.3, 473.0 1600.9 Q 472.7 1600.4, 472.7 1600.3 L 472.7 1605.0 L 471.9 1605.0 L 471.9 1599.3 L 472.8 1599.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 382.4 1592.9 Q 382.5 1592.9, 382.8 1593.1 Q 383.0 1593.2, 383.3 1593.2 Q 383.6 1593.3, 383.9 1593.3 Q 384.4 1593.3, 384.8 1593.1 Q 385.1 1592.8, 385.1 1592.3 Q 385.1 1592.0, 384.9 1591.8 Q 384.8 1591.6, 384.5 1591.5 Q 384.3 1591.4, 383.9 1591.3 Q 383.4 1591.2, 383.1 1591.0 Q 382.8 1590.9, 382.5 1590.6 Q 382.3 1590.3, 382.3 1589.7 Q 382.3 1589.0, 382.8 1588.6 Q 383.3 1588.1, 384.3 1588.1 Q 384.9 1588.1, 385.7 1588.5 L 385.5 1589.1 Q 384.8 1588.8, 384.3 1588.8 Q 383.7 1588.8, 383.4 1589.0 Q 383.1 1589.3, 383.1 1589.6 Q 383.1 1589.9, 383.3 1590.1 Q 383.5 1590.3, 383.7 1590.4 Q 383.9 1590.5, 384.3 1590.6 Q 384.8 1590.8, 385.1 1591.0 Q 385.4 1591.1, 385.6 1591.5 Q 385.9 1591.8, 385.9 1592.3 Q 385.9 1593.1, 385.3 1593.5 Q 384.8 1594.0, 383.9 1594.0 Q 383.4 1594.0, 383.0 1593.8 Q 382.7 1593.7, 382.2 1593.6 L 382.4 1592.9 \" fill=\"#CCCC00\"/>\n",
+       "<path class=\"atom-13\" d=\"M 448.5 1574.6 L 450.3 1577.6 Q 450.5 1577.9, 450.8 1578.4 Q 451.1 1578.9, 451.1 1579.0 L 451.1 1574.6 L 451.9 1574.6 L 451.9 1580.2 L 451.1 1580.2 L 449.1 1577.0 Q 448.9 1576.6, 448.6 1576.1 Q 448.4 1575.7, 448.3 1575.6 L 448.3 1580.2 L 447.6 1580.2 L 447.6 1574.6 L 448.5 1574.6 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 387.5 1689.4 L 390.0 1689.4 L 390.0 1681.0 L 387.3 1681.8 L 386.9 1680.9 L 390.4 1679.3 L 391.5 1679.5 L 391.5 1689.4 L 393.7 1689.4 L 393.7 1690.7 L 387.5 1690.7 L 387.5 1689.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 399.1 1678.3 L 400.5 1678.3 L 400.5 1693.8 L 399.1 1693.8 L 399.1 1678.3 \" fill=\"#000000\"/>\n",
@@ -4949,27 +4955,32 @@
        "<path d=\"M 448.0 1679.4 Q 449.9 1679.4, 450.9 1680.3 Q 451.9 1681.1, 451.9 1682.7 Q 451.9 1684.3, 450.9 1685.2 Q 449.9 1686.1, 448.0 1686.1 L 446.2 1686.1 L 446.2 1690.7 L 444.6 1690.7 L 444.6 1679.4 L 448.0 1679.4 M 448.0 1684.8 Q 449.1 1684.8, 449.7 1684.3 Q 450.3 1683.7, 450.3 1682.7 Q 450.3 1681.7, 449.7 1681.2 Q 449.1 1680.7, 448.0 1680.7 L 446.2 1680.7 L 446.2 1684.8 L 448.0 1684.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 452.4 1678.6 L 453.5 1678.6 L 453.5 1682.0 L 452.4 1682.0 L 452.4 1678.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 457.2 1678.3 L 457.2 1693.8 L 453.8 1693.8 L 453.8 1692.7 L 455.9 1692.7 L 455.9 1679.5 L 453.8 1679.5 L 453.8 1678.3 L 457.2 1678.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 551.9,1582.9 L 570.6,1590.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 570.6,1590.2 L 573.7,1610.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 575.1,1592.5 L 577.2,1606.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 586.2,1577.6 L 570.6,1590.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 573.7,1610.0 L 581.8,1613.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 581.8,1613.1 L 589.8,1616.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 595.1,1615.0 L 601.6,1609.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 601.6,1609.8 L 608.0,1604.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 594.5,1610.4 L 599.0,1606.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 599.0,1606.7 L 603.6,1603.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 608.0,1604.6 L 626.7,1611.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 604.9,1584.8 L 608.0,1604.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 626.7,1611.8 L 642.3,1599.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 626.6,1606.8 L 637.5,1598.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 642.3,1599.2 L 639.2,1579.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 639.2,1579.4 L 620.5,1572.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 635.0,1582.1 L 621.9,1577.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 620.5,1572.2 L 604.9,1584.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 604.9,1584.8 L 586.2,1577.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 600.7,1587.5 L 587.6,1582.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-3\" d=\"M 591.2 1614.3 L 593.0 1617.4 Q 593.2 1617.7, 593.5 1618.2 Q 593.8 1618.7, 593.8 1618.8 L 593.8 1614.3 L 594.6 1614.3 L 594.6 1620.0 L 593.8 1620.0 L 591.8 1616.7 Q 591.6 1616.4, 591.3 1615.9 Q 591.1 1615.5, 591.0 1615.3 L 591.0 1620.0 L 590.3 1620.0 L 590.3 1614.3 L 591.2 1614.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 622.1,1565.9 L 619.9,1573.8\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 619.9,1573.8 L 617.6,1581.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 617.6,1581.6 L 631.5,1596.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 616.8,1586.5 L 626.5,1596.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 598.2,1586.4 L 617.6,1581.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 631.5,1596.0 L 625.9,1615.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 625.9,1615.3 L 617.5,1617.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 617.5,1617.4 L 609.1,1619.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 622.5,1612.0 L 616.6,1613.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 616.6,1613.5 L 610.7,1614.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 603.8,1617.3 L 598.2,1611.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 598.2,1611.5 L 592.6,1605.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 592.6,1605.7 L 583.9,1605.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 583.9,1605.9 L 575.2,1606.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 598.2,1586.4 L 592.6,1605.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 601.2,1590.4 L 597.3,1603.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 571.3,1603.0 L 568.5,1595.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 568.5,1595.2 L 565.7,1587.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 565.7,1587.5 L 581.6,1575.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 570.6,1588.8 L 581.6,1580.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 581.6,1575.1 L 598.2,1586.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 621.0 1562.5 Q 621.0 1561.1, 621.6 1560.4 Q 622.3 1559.6, 623.6 1559.6 Q 624.7 1559.6, 625.4 1560.4 L 624.8 1560.9 Q 624.4 1560.3, 623.6 1560.3 Q 622.7 1560.3, 622.3 1560.9 Q 621.8 1561.4, 621.8 1562.5 Q 621.8 1563.6, 622.3 1564.2 Q 622.7 1564.8, 623.7 1564.8 Q 624.3 1564.8, 625.0 1564.4 L 625.2 1565.0 Q 624.9 1565.2, 624.5 1565.3 Q 624.0 1565.4, 623.5 1565.4 Q 622.3 1565.4, 621.6 1564.7 Q 621.0 1563.9, 621.0 1562.5 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-0\" d=\"M 626.1 1559.3 L 626.8 1559.3 L 626.8 1565.4 L 626.1 1565.4 L 626.1 1559.3 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"atom-4\" d=\"M 605.2 1617.3 L 607.1 1620.3 Q 607.3 1620.6, 607.6 1621.1 Q 607.9 1621.6, 607.9 1621.7 L 607.9 1617.3 L 608.6 1617.3 L 608.6 1622.9 L 607.9 1622.9 L 605.9 1619.7 Q 605.6 1619.3, 605.4 1618.8 Q 605.1 1618.4, 605.1 1618.2 L 605.1 1622.9 L 604.3 1622.9 L 604.3 1617.3 L 605.2 1617.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 565.3 1603.5 L 566.1 1603.5 L 566.1 1605.9 L 569.0 1605.9 L 569.0 1603.5 L 569.7 1603.5 L 569.7 1609.1 L 569.0 1609.1 L 569.0 1606.5 L 566.1 1606.5 L 566.1 1609.1 L 565.3 1609.1 L 565.3 1603.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 571.3 1603.5 L 573.2 1606.5 Q 573.3 1606.8, 573.6 1607.3 Q 573.9 1607.8, 574.0 1607.9 L 574.0 1603.5 L 574.7 1603.5 L 574.7 1609.1 L 573.9 1609.1 L 571.9 1605.9 Q 571.7 1605.5, 571.4 1605.0 Q 571.2 1604.6, 571.1 1604.5 L 571.1 1609.1 L 570.4 1609.1 L 570.4 1603.5 L 571.3 1603.5 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 557.5 1689.4 L 560.0 1689.4 L 560.0 1681.0 L 557.3 1681.8 L 556.9 1680.9 L 560.4 1679.3 L 561.5 1679.5 L 561.5 1689.4 L 563.7 1689.4 L 563.7 1690.7 L 557.5 1690.7 L 557.5 1689.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 569.1 1678.3 L 570.5 1678.3 L 570.5 1693.8 L 569.1 1693.8 L 569.1 1678.3 \" fill=\"#000000\"/>\n",
@@ -4985,31 +4996,43 @@
        "<path d=\"M 618.0 1679.4 Q 619.9 1679.4, 620.9 1680.3 Q 621.9 1681.1, 621.9 1682.7 Q 621.9 1684.3, 620.9 1685.2 Q 619.9 1686.1, 618.0 1686.1 L 616.2 1686.1 L 616.2 1690.7 L 614.6 1690.7 L 614.6 1679.4 L 618.0 1679.4 M 618.0 1684.8 Q 619.1 1684.8, 619.7 1684.3 Q 620.3 1683.7, 620.3 1682.7 Q 620.3 1681.7, 619.7 1681.2 Q 619.1 1680.7, 618.0 1680.7 L 616.2 1680.7 L 616.2 1684.8 L 618.0 1684.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 622.4 1678.6 L 623.5 1678.6 L 623.5 1682.0 L 622.4 1682.0 L 622.4 1678.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 627.2 1678.3 L 627.2 1693.8 L 623.8 1693.8 L 623.8 1692.7 L 625.9 1692.7 L 625.9 1679.5 L 623.8 1679.5 L 623.8 1678.3 L 627.2 1678.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 719.0,1574.7 L 721.7,1582.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 721.7,1582.5 L 724.4,1590.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 728.7,1594.2 L 737.0,1595.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 737.0,1595.8 L 745.3,1597.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 745.3,1597.4 L 751.8,1616.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 750.1,1598.9 L 754.7,1612.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-2\" d=\"M 758.4,1582.3 L 745.3,1597.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 751.8,1616.4 L 760.4,1618.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 760.4,1618.0 L 768.9,1619.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 774.2,1617.1 L 779.4,1611.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 779.4,1611.0 L 784.7,1605.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 772.7,1612.6 L 776.4,1608.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 776.4,1608.4 L 780.1,1604.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 784.7,1605.0 L 804.3,1608.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 778.1,1586.1 L 784.7,1605.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 804.3,1608.8 L 817.5,1593.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 803.3,1603.9 L 812.5,1593.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 817.5,1593.6 L 810.9,1574.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 810.9,1574.7 L 791.2,1570.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 807.2,1578.1 L 793.4,1575.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 791.2,1570.9 L 778.1,1586.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 778.1,1586.1 L 758.4,1582.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 774.4,1589.4 L 760.6,1586.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 723.0 1593.6 Q 723.0 1592.3, 723.7 1591.5 Q 724.3 1590.8, 725.6 1590.8 Q 726.9 1590.8, 727.5 1591.5 Q 728.2 1592.3, 728.2 1593.6 Q 728.2 1595.0, 727.5 1595.8 Q 726.8 1596.6, 725.6 1596.6 Q 724.3 1596.6, 723.7 1595.8 Q 723.0 1595.0, 723.0 1593.6 M 725.6 1595.9 Q 726.5 1595.9, 726.9 1595.4 Q 727.4 1594.8, 727.4 1593.6 Q 727.4 1592.5, 726.9 1592.0 Q 726.5 1591.4, 725.6 1591.4 Q 724.7 1591.4, 724.3 1592.0 Q 723.8 1592.5, 723.8 1593.6 Q 723.8 1594.8, 724.3 1595.4 Q 724.7 1595.9, 725.6 1595.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-4\" d=\"M 770.3 1617.3 L 772.1 1620.3 Q 772.3 1620.6, 772.6 1621.2 Q 772.9 1621.7, 772.9 1621.7 L 772.9 1617.3 L 773.7 1617.3 L 773.7 1623.0 L 772.9 1623.0 L 770.9 1619.7 Q 770.7 1619.3, 770.4 1618.9 Q 770.2 1618.4, 770.1 1618.3 L 770.1 1623.0 L 769.4 1623.0 L 769.4 1617.3 L 770.3 1617.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 720.6,1598.0 L 729.1,1596.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 729.1,1596.3 L 737.6,1594.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 737.6,1594.6 L 740.3,1586.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 740.3,1586.8 L 742.9,1578.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 742.2,1593.5 L 744.1,1588.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 744.1,1588.0 L 745.9,1582.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 748.3,1606.6 L 742.9,1600.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 742.9,1600.6 L 737.6,1594.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 746.7,1575.0 L 755.2,1573.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 755.2,1573.3 L 763.7,1571.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 763.7,1571.6 L 776.9,1586.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 762.6,1576.5 L 771.9,1587.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 776.9,1586.6 L 796.6,1582.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-4\" d=\"M 770.6,1605.6 L 776.9,1586.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 798.5,1583.3 L 801.1,1575.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 801.1,1575.5 L 803.7,1567.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 794.7,1582.0 L 797.3,1574.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 797.3,1574.2 L 799.9,1566.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 796.6,1582.6 L 801.9,1588.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 801.9,1588.7 L 807.2,1594.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 808.7,1601.0 L 806.1,1608.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 806.1,1608.8 L 803.5,1616.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 803.5,1616.7 L 783.8,1620.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 799.7,1613.3 L 786.0,1616.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 783.8,1620.7 L 770.6,1605.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 770.6,1605.6 L 762.1,1607.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 762.1,1607.4 L 753.6,1609.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 767.2,1602.2 L 761.3,1603.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 761.3,1603.4 L 755.3,1604.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 707.9 1595.7 L 708.7 1595.7 L 708.7 1598.1 L 711.6 1598.1 L 711.6 1595.7 L 712.4 1595.7 L 712.4 1601.4 L 711.6 1601.4 L 711.6 1598.8 L 708.7 1598.8 L 708.7 1601.4 L 707.9 1601.4 L 707.9 1595.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 712.7 1601.2 Q 712.8 1600.9, 713.1 1600.7 Q 713.4 1600.5, 713.9 1600.5 Q 714.5 1600.5, 714.8 1600.8 Q 715.1 1601.1, 715.1 1601.6 Q 715.1 1602.2, 714.7 1602.7 Q 714.3 1603.2, 713.4 1603.8 L 715.2 1603.8 L 715.2 1604.2 L 712.6 1604.2 L 712.6 1603.9 Q 713.3 1603.4, 713.8 1603.0 Q 714.2 1602.7, 714.4 1602.3 Q 714.6 1602.0, 714.6 1601.6 Q 714.6 1601.3, 714.4 1601.1 Q 714.2 1600.9, 713.9 1600.9 Q 713.6 1600.9, 713.4 1601.0 Q 713.2 1601.1, 713.1 1601.4 L 712.7 1601.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 716.7 1595.7 L 718.6 1598.7 Q 718.8 1599.0, 719.1 1599.6 Q 719.4 1600.1, 719.4 1600.1 L 719.4 1595.7 L 720.1 1595.7 L 720.1 1601.4 L 719.4 1601.4 L 717.4 1598.1 Q 717.1 1597.7, 716.9 1597.3 Q 716.6 1596.9, 716.6 1596.7 L 716.6 1601.4 L 715.8 1601.4 L 715.8 1595.7 L 716.7 1595.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 742.8 1572.7 L 744.6 1575.8 Q 744.8 1576.0, 745.1 1576.6 Q 745.4 1577.1, 745.4 1577.2 L 745.4 1572.7 L 746.2 1572.7 L 746.2 1578.4 L 745.4 1578.4 L 743.4 1575.1 Q 743.2 1574.7, 742.9 1574.3 Q 742.7 1573.9, 742.6 1573.7 L 742.6 1578.4 L 741.9 1578.4 L 741.9 1572.7 L 742.8 1572.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 800.4 1563.7 Q 800.4 1562.3, 801.0 1561.5 Q 801.7 1560.8, 803.0 1560.8 Q 804.2 1560.8, 804.9 1561.5 Q 805.6 1562.3, 805.6 1563.7 Q 805.6 1565.0, 804.9 1565.8 Q 804.2 1566.6, 803.0 1566.6 Q 801.7 1566.6, 801.0 1565.8 Q 800.4 1565.0, 800.4 1563.7 M 803.0 1566.0 Q 803.8 1566.0, 804.3 1565.4 Q 804.8 1564.8, 804.8 1563.7 Q 804.8 1562.5, 804.3 1562.0 Q 803.8 1561.4, 803.0 1561.4 Q 802.1 1561.4, 801.6 1562.0 Q 801.2 1562.5, 801.2 1563.7 Q 801.2 1564.8, 801.6 1565.4 Q 802.1 1566.0, 803.0 1566.0 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-7\" d=\"M 808.6 1594.8 L 810.5 1597.8 Q 810.6 1598.1, 810.9 1598.7 Q 811.2 1599.2, 811.3 1599.2 L 811.3 1594.8 L 812.0 1594.8 L 812.0 1600.5 L 811.2 1600.5 L 809.2 1597.2 Q 809.0 1596.8, 808.8 1596.4 Q 808.5 1596.0, 808.4 1595.8 L 808.4 1600.5 L 807.7 1600.5 L 807.7 1594.8 L 808.6 1594.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-7\" d=\"M 812.7 1594.8 L 813.5 1594.8 L 813.5 1597.3 L 816.4 1597.3 L 816.4 1594.8 L 817.1 1594.8 L 817.1 1600.5 L 816.4 1600.5 L 816.4 1597.9 L 813.5 1597.9 L 813.5 1600.5 L 812.7 1600.5 L 812.7 1594.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 749.7 1606.8 L 751.5 1609.8 Q 751.7 1610.1, 752.0 1610.6 Q 752.3 1611.2, 752.3 1611.2 L 752.3 1606.8 L 753.1 1606.8 L 753.1 1612.5 L 752.3 1612.5 L 750.3 1609.2 Q 750.1 1608.8, 749.8 1608.3 Q 749.6 1607.9, 749.5 1607.8 L 749.5 1612.5 L 748.8 1612.5 L 748.8 1606.8 L 749.7 1606.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 727.5 1689.4 L 730.0 1689.4 L 730.0 1681.0 L 727.3 1681.8 L 726.9 1680.9 L 730.4 1679.3 L 731.5 1679.5 L 731.5 1689.4 L 733.7 1689.4 L 733.7 1690.7 L 727.5 1690.7 L 727.5 1689.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 739.1 1678.3 L 740.5 1678.3 L 740.5 1693.8 L 739.1 1693.8 L 739.1 1678.3 \" fill=\"#000000\"/>\n",
@@ -5025,39 +5048,43 @@
        "<path d=\"M 788.0 1679.4 Q 789.9 1679.4, 790.9 1680.3 Q 791.9 1681.1, 791.9 1682.7 Q 791.9 1684.3, 790.9 1685.2 Q 789.9 1686.1, 788.0 1686.1 L 786.2 1686.1 L 786.2 1690.7 L 784.6 1690.7 L 784.6 1679.4 L 788.0 1679.4 M 788.0 1684.8 Q 789.1 1684.8, 789.7 1684.3 Q 790.3 1683.7, 790.3 1682.7 Q 790.3 1681.7, 789.7 1681.2 Q 789.1 1680.7, 788.0 1680.7 L 786.2 1680.7 L 786.2 1684.8 L 788.0 1684.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 792.4 1678.6 L 793.5 1678.6 L 793.5 1682.0 L 792.4 1682.0 L 792.4 1678.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 797.2 1678.3 L 797.2 1693.8 L 793.8 1693.8 L 793.8 1692.7 L 795.9 1692.7 L 795.9 1679.5 L 793.8 1679.5 L 793.8 1678.3 L 797.2 1678.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 943.5,1625.5 L 943.5,1617.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 943.5,1617.2 L 943.5,1608.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 939.5,1625.5 L 939.5,1617.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 939.5,1617.2 L 939.5,1608.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 941.5,1608.8 L 959.6,1600.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-1\" d=\"M 923.5,1600.1 L 941.5,1608.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 959.6,1600.1 L 974.3,1613.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 964.5,1599.2 L 974.8,1608.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-7 atom-2\" d=\"M 964.1,1580.6 L 959.6,1600.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 974.3,1613.8 L 993.4,1607.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 993.4,1607.8 L 997.9,1588.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 990.2,1604.0 L 993.3,1590.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 997.9,1588.3 L 983.2,1574.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 983.2,1574.7 L 964.1,1580.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 981.5,1579.4 L 968.1,1583.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 964.1,1580.6 L 951.6,1564.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 951.6,1564.9 L 931.5,1564.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 948.5,1568.9 L 934.5,1568.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 931.5,1564.9 L 919.0,1580.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 919.0,1580.6 L 910.8,1578.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 910.8,1578.0 L 902.5,1575.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 915.4,1583.6 L 909.6,1581.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 909.6,1581.9 L 903.8,1580.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-15 atom-10\" d=\"M 923.5,1600.1 L 919.0,1580.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 897.2,1577.1 L 891.2,1582.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 891.2,1582.7 L 885.2,1588.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 885.2,1588.3 L 889.6,1607.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 889.7,1590.3 L 892.9,1604.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 889.6,1607.8 L 908.8,1613.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 908.8,1613.8 L 923.5,1600.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 908.3,1608.8 L 918.5,1599.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 938.9 1628.9 Q 938.9 1627.5, 939.6 1626.8 Q 940.3 1626.0, 941.5 1626.0 Q 942.8 1626.0, 943.5 1626.8 Q 944.1 1627.5, 944.1 1628.9 Q 944.1 1630.3, 943.5 1631.0 Q 942.8 1631.8, 941.5 1631.8 Q 940.3 1631.8, 939.6 1631.0 Q 938.9 1630.3, 938.9 1628.9 M 941.5 1631.2 Q 942.4 1631.2, 942.9 1630.6 Q 943.3 1630.0, 943.3 1628.9 Q 943.3 1627.8, 942.9 1627.2 Q 942.4 1626.6, 941.5 1626.6 Q 940.7 1626.6, 940.2 1627.2 Q 939.7 1627.8, 939.7 1628.9 Q 939.7 1630.0, 940.2 1630.6 Q 940.7 1631.2, 941.5 1631.2 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-11\" d=\"M 898.6 1571.8 L 900.5 1574.8 Q 900.6 1575.1, 900.9 1575.7 Q 901.2 1576.2, 901.3 1576.2 L 901.3 1571.8 L 902.0 1571.8 L 902.0 1577.5 L 901.2 1577.5 L 899.2 1574.2 Q 899.0 1573.8, 898.7 1573.4 Q 898.5 1573.0, 898.4 1572.8 L 898.4 1577.5 L 897.7 1577.5 L 897.7 1571.8 L 898.6 1571.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 879.5,1603.8 L 887.6,1600.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 887.6,1600.9 L 895.8,1598.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 880.8,1607.6 L 887.7,1605.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 887.7,1605.2 L 894.6,1602.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 878.2,1600.0 L 885.1,1597.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 885.1,1597.6 L 892.0,1595.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 895.8,1598.1 L 914.7,1591.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 914.7,1591.6 L 918.5,1571.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 919.2,1589.4 L 921.9,1575.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-2\" d=\"M 929.9,1604.7 L 914.7,1591.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 918.5,1571.9 L 937.5,1565.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 937.5,1565.4 L 952.6,1578.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 937.1,1570.4 L 947.7,1579.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 952.6,1578.5 L 960.8,1575.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 960.8,1575.7 L 968.9,1572.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-11 atom-5\" d=\"M 948.8,1598.2 L 952.6,1578.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 974.2,1574.2 L 980.5,1579.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 980.5,1579.7 L 986.7,1585.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 973.5,1578.9 L 977.8,1582.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 977.8,1582.7 L 982.2,1586.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 986.7,1585.1 L 985.1,1593.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 985.1,1593.3 L 983.6,1601.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 980.3,1605.7 L 972.1,1608.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 972.1,1608.5 L 964.0,1611.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 976.5,1602.7 L 970.8,1604.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 970.8,1604.7 L 965.1,1606.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 964.0,1611.3 L 962.4,1619.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 962.4,1619.5 L 960.8,1627.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-11\" d=\"M 964.0,1611.3 L 948.8,1598.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 948.8,1598.2 L 929.9,1604.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 944.7,1595.4 L 931.4,1600.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 875.6 1601.8 L 877.4 1604.8 Q 877.6 1605.1, 877.9 1605.7 Q 878.2 1606.2, 878.2 1606.3 L 878.2 1601.8 L 879.0 1601.8 L 879.0 1607.5 L 878.2 1607.5 L 876.2 1604.2 Q 876.0 1603.8, 875.7 1603.4 Q 875.5 1603.0, 875.4 1602.8 L 875.4 1607.5 L 874.7 1607.5 L 874.7 1601.8 L 875.6 1601.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 970.3 1569.1 L 972.2 1572.1 Q 972.4 1572.4, 972.7 1572.9 Q 973.0 1573.5, 973.0 1573.5 L 973.0 1569.1 L 973.7 1569.1 L 973.7 1574.8 L 972.9 1574.8 L 970.9 1571.5 Q 970.7 1571.1, 970.5 1570.7 Q 970.2 1570.2, 970.2 1570.1 L 970.2 1574.8 L 969.4 1574.8 L 969.4 1569.1 L 970.3 1569.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 981.7 1601.9 L 983.5 1604.9 Q 983.7 1605.2, 984.0 1605.8 Q 984.3 1606.3, 984.3 1606.3 L 984.3 1601.9 L 985.1 1601.9 L 985.1 1607.6 L 984.3 1607.6 L 982.3 1604.3 Q 982.1 1603.9, 981.8 1603.5 Q 981.6 1603.1, 981.5 1602.9 L 981.5 1607.6 L 980.8 1607.6 L 980.8 1601.9 L 981.7 1601.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 958.9 1628.2 L 960.8 1631.2 Q 960.9 1631.5, 961.2 1632.0 Q 961.5 1632.5, 961.6 1632.6 L 961.6 1628.2 L 962.3 1628.2 L 962.3 1633.8 L 961.5 1633.8 L 959.5 1630.5 Q 959.3 1630.2, 959.1 1629.7 Q 958.8 1629.3, 958.7 1629.1 L 958.7 1633.8 L 958.0 1633.8 L 958.0 1628.2 L 958.9 1628.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 963.0 1628.2 L 963.8 1628.2 L 963.8 1630.6 L 966.7 1630.6 L 966.7 1628.2 L 967.4 1628.2 L 967.4 1633.8 L 966.7 1633.8 L 966.7 1631.2 L 963.8 1631.2 L 963.8 1633.8 L 963.0 1633.8 L 963.0 1628.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 967.7 1633.6 Q 967.8 1633.3, 968.2 1633.1 Q 968.5 1632.9, 969.0 1632.9 Q 969.5 1632.9, 969.8 1633.2 Q 970.2 1633.5, 970.2 1634.0 Q 970.2 1634.6, 969.7 1635.1 Q 969.3 1635.6, 968.5 1636.3 L 970.2 1636.3 L 970.2 1636.7 L 967.7 1636.7 L 967.7 1636.3 Q 968.4 1635.8, 968.8 1635.5 Q 969.2 1635.1, 969.4 1634.7 Q 969.6 1634.4, 969.6 1634.1 Q 969.6 1633.7, 969.4 1633.5 Q 969.3 1633.3, 969.0 1633.3 Q 968.7 1633.3, 968.5 1633.4 Q 968.3 1633.6, 968.1 1633.8 L 967.7 1633.6 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 897.5 1689.4 L 900.0 1689.4 L 900.0 1681.0 L 897.3 1681.8 L 896.9 1680.9 L 900.4 1679.3 L 901.5 1679.5 L 901.5 1689.4 L 903.7 1689.4 L 903.7 1690.7 L 897.5 1690.7 L 897.5 1689.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 909.1 1678.3 L 910.5 1678.3 L 910.5 1693.8 L 909.1 1693.8 L 909.1 1678.3 \" fill=\"#000000\"/>\n",
@@ -5073,28 +5100,44 @@
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        "<path d=\"M 962.4 1678.6 L 963.5 1678.6 L 963.5 1682.0 L 962.4 1682.0 L 962.4 1678.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 967.2 1678.3 L 967.2 1693.8 L 963.8 1693.8 L 963.8 1692.7 L 965.9 1692.7 L 965.9 1679.5 L 963.8 1679.5 L 963.8 1678.3 L 967.2 1678.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1059.0,1574.7 L 1065.6,1593.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1065.6,1593.6 L 1085.3,1597.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1085.3,1597.4 L 1091.8,1616.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1090.1,1598.9 L 1094.7,1612.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-2\" d=\"M 1098.4,1582.3 L 1085.3,1597.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1091.8,1616.4 L 1111.5,1620.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1111.5,1620.1 L 1124.7,1605.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1110.5,1615.3 L 1119.7,1604.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1124.7,1605.0 L 1133.2,1606.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1133.2,1606.6 L 1141.7,1608.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 1118.1,1586.1 L 1124.7,1605.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1147.0,1605.7 L 1152.2,1599.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1152.2,1599.7 L 1157.5,1593.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1145.5,1601.3 L 1149.2,1597.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1149.2,1597.0 L 1152.9,1592.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1157.5,1593.6 L 1150.9,1574.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1150.9,1574.7 L 1131.2,1570.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1147.2,1578.1 L 1133.4,1575.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1131.2,1570.9 L 1118.1,1586.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1118.1,1586.1 L 1098.4,1582.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1114.4,1589.4 L 1100.6,1586.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-6\" d=\"M 1143.1 1605.9 L 1144.9 1609.0 Q 1145.1 1609.2, 1145.4 1609.8 Q 1145.7 1610.3, 1145.7 1610.4 L 1145.7 1605.9 L 1146.5 1605.9 L 1146.5 1611.6 L 1145.7 1611.6 L 1143.7 1608.3 Q 1143.5 1607.9, 1143.2 1607.5 Q 1143.0 1607.1, 1142.9 1606.9 L 1142.9 1611.6 L 1142.2 1611.6 L 1142.2 1605.9 L 1143.1 1605.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1065.9,1578.0 L 1073.7,1581.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1073.7,1581.5 L 1081.5,1585.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1081.5,1585.0 L 1082.4,1593.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1082.4,1593.3 L 1083.3,1601.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1085.8,1587.0 L 1086.4,1592.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1086.4,1592.9 L 1087.0,1598.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 1095.1,1575.1 L 1088.3,1580.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 1088.3,1580.0 L 1081.5,1585.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1086.3,1606.1 L 1094.1,1609.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1094.1,1609.6 L 1101.9,1613.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1101.9,1613.1 L 1102.8,1621.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1102.8,1621.4 L 1103.6,1629.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-3 atom-5\" d=\"M 1101.9,1613.1 L 1118.1,1601.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-3 atom-5\" d=\"M 1102.0,1608.1 L 1113.4,1599.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1118.1,1601.3 L 1126.0,1604.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1126.0,1604.8 L 1133.8,1608.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 1116.1,1581.4 L 1118.1,1601.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1139.1,1607.6 L 1145.9,1602.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1145.9,1602.7 L 1152.7,1597.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1138.8,1602.9 L 1143.5,1599.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1143.5,1599.5 L 1148.3,1596.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1150.6,1577.8 L 1132.3,1569.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1146.2,1580.3 L 1133.4,1574.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1132.3,1569.7 L 1116.1,1581.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1116.1,1581.4 L 1108.3,1577.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1108.3,1577.9 L 1100.4,1574.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1112.1,1584.0 L 1106.6,1581.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1106.6,1581.6 L 1101.2,1579.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1053.2 1573.9 L 1054.0 1573.9 L 1054.0 1576.3 L 1056.9 1576.3 L 1056.9 1573.9 L 1057.6 1573.9 L 1057.6 1579.6 L 1056.9 1579.6 L 1056.9 1577.0 L 1054.0 1577.0 L 1054.0 1579.6 L 1053.2 1579.6 L 1053.2 1573.9 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"atom-0\" d=\"M 1062.0 1573.9 L 1063.9 1576.9 Q 1064.0 1577.2, 1064.3 1577.8 Q 1064.6 1578.3, 1064.7 1578.3 L 1064.7 1573.9 L 1065.4 1573.9 L 1065.4 1579.6 L 1064.6 1579.6 L 1062.6 1576.3 Q 1062.4 1575.9, 1062.1 1575.5 Q 1061.9 1575.1, 1061.8 1574.9 L 1061.8 1579.6 L 1061.1 1579.6 L 1061.1 1573.9 L 1062.0 1573.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 1082.3 1602.1 L 1084.2 1605.1 Q 1084.4 1605.4, 1084.7 1605.9 Q 1085.0 1606.4, 1085.0 1606.5 L 1085.0 1602.1 L 1085.8 1602.1 L 1085.8 1607.7 L 1085.0 1607.7 L 1083.0 1604.5 Q 1082.8 1604.1, 1082.5 1603.6 Q 1082.3 1603.2, 1082.2 1603.1 L 1082.2 1607.7 L 1081.5 1607.7 L 1081.5 1602.1 L 1082.3 1602.1 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"atom-4\" d=\"M 1111.5 1635.7 Q 1111.6 1635.3, 1112.0 1635.1 Q 1112.3 1634.9, 1112.8 1634.9 Q 1113.3 1634.9, 1113.6 1635.2 Q 1114.0 1635.5, 1114.0 1636.1 Q 1114.0 1636.6, 1113.5 1637.2 Q 1113.1 1637.7, 1112.3 1638.3 L 1114.0 1638.3 L 1114.0 1638.7 L 1111.5 1638.7 L 1111.5 1638.4 Q 1112.2 1637.9, 1112.6 1637.5 Q 1113.0 1637.1, 1113.2 1636.8 Q 1113.4 1636.5, 1113.4 1636.1 Q 1113.4 1635.8, 1113.3 1635.5 Q 1113.1 1635.3, 1112.8 1635.3 Q 1112.5 1635.3, 1112.3 1635.5 Q 1112.1 1635.6, 1111.9 1635.9 L 1111.5 1635.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 1135.2 1606.7 L 1137.0 1609.7 Q 1137.2 1610.0, 1137.5 1610.5 Q 1137.8 1611.1, 1137.8 1611.1 L 1137.8 1606.7 L 1138.6 1606.7 L 1138.6 1612.4 L 1137.8 1612.4 L 1135.8 1609.1 Q 1135.6 1608.7, 1135.3 1608.3 Q 1135.1 1607.8, 1135.0 1607.7 L 1135.0 1612.4 L 1134.3 1612.4 L 1134.3 1606.7 L 1135.2 1606.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 1096.5 1570.4 L 1098.4 1573.4 Q 1098.6 1573.7, 1098.9 1574.2 Q 1099.2 1574.8, 1099.2 1574.8 L 1099.2 1570.4 L 1099.9 1570.4 L 1099.9 1576.0 L 1099.2 1576.0 L 1097.2 1572.8 Q 1096.9 1572.4, 1096.7 1571.9 Q 1096.4 1571.5, 1096.4 1571.4 L 1096.4 1576.0 L 1095.6 1576.0 L 1095.6 1570.4 L 1096.5 1570.4 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1067.5 1689.4 L 1070.0 1689.4 L 1070.0 1681.0 L 1067.3 1681.8 L 1066.9 1680.9 L 1070.4 1679.3 L 1071.5 1679.5 L 1071.5 1689.4 L 1073.7 1689.4 L 1073.7 1690.7 L 1067.5 1690.7 L 1067.5 1689.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 1678.3 L 1080.5 1678.3 L 1080.5 1693.8 L 1079.1 1693.8 L 1079.1 1678.3 \" fill=\"#000000\"/>\n",
@@ -5110,36 +5153,41 @@
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        "<path d=\"M 1132.4 1678.6 L 1133.5 1678.6 L 1133.5 1682.0 L 1132.4 1682.0 L 1132.4 1678.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.2 1678.3 L 1137.2 1693.8 L 1133.8 1693.8 L 1133.8 1692.7 L 1135.9 1692.7 L 1135.9 1679.5 L 1133.8 1679.5 L 1133.8 1678.3 L 1137.2 1678.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 135.0,1754.6 L 126.8,1757.5\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 126.8,1757.5 L 118.6,1760.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 118.6,1760.5 L 114.9,1780.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 114.1,1762.7 L 111.5,1776.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 103.3,1747.5 L 118.6,1760.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 114.9,1780.2 L 106.8,1783.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 106.8,1783.1 L 98.7,1785.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 93.4,1784.6 L 87.1,1779.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 87.1,1779.2 L 80.8,1773.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 94.1,1780.0 L 89.7,1776.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 89.7,1776.2 L 85.3,1772.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 80.8,1773.9 L 72.2,1775.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 72.2,1775.0 L 63.5,1776.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-8 atom-4\" d=\"M 84.4,1754.2 L 80.8,1773.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 59.3,1773.2 L 55.8,1765.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 55.8,1765.8 L 52.2,1758.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 61.9,1769.2 L 59.4,1764.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 59.4,1764.1 L 56.9,1758.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 52.2,1758.4 L 58.2,1752.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 58.2,1752.8 L 64.1,1747.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 69.4,1746.0 L 76.9,1750.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 76.9,1750.1 L 84.4,1754.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 84.4,1754.2 L 103.3,1747.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 88.6,1756.9 L 101.8,1752.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 138.3 1753.6 Q 138.8 1753.8, 139.1 1754.1 Q 139.4 1754.4, 139.4 1754.9 Q 139.4 1755.7, 138.9 1756.1 Q 138.4 1756.6, 137.4 1756.6 L 135.5 1756.6 L 135.5 1750.9 L 137.2 1750.9 Q 138.2 1750.9, 138.7 1751.3 Q 139.1 1751.7, 139.1 1752.4 Q 139.1 1753.3, 138.3 1753.6 M 136.3 1751.6 L 136.3 1753.3 L 137.2 1753.3 Q 137.8 1753.3, 138.0 1753.1 Q 138.3 1752.9, 138.3 1752.4 Q 138.3 1751.6, 137.2 1751.6 L 136.3 1751.6 M 137.4 1755.9 Q 138.0 1755.9, 138.3 1755.7 Q 138.6 1755.4, 138.6 1754.9 Q 138.6 1754.4, 138.2 1754.2 Q 137.9 1754.0, 137.3 1754.0 L 136.3 1754.0 L 136.3 1755.9 L 137.4 1755.9 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-0\" d=\"M 140.7 1752.5 L 140.8 1753.0 Q 141.2 1752.4, 141.9 1752.4 Q 142.1 1752.4, 142.4 1752.5 L 142.3 1753.2 Q 142.0 1753.1, 141.8 1753.1 Q 141.4 1753.1, 141.2 1753.2 Q 141.0 1753.3, 140.8 1753.6 L 140.8 1756.6 L 140.1 1756.6 L 140.1 1752.5 L 140.7 1752.5 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-3\" d=\"M 94.8 1784.0 L 96.6 1787.0 Q 96.8 1787.3, 97.1 1787.9 Q 97.4 1788.4, 97.4 1788.5 L 97.4 1784.0 L 98.2 1784.0 L 98.2 1789.7 L 97.4 1789.7 L 95.4 1786.4 Q 95.2 1786.0, 94.9 1785.6 Q 94.7 1785.2, 94.6 1785.0 L 94.6 1789.7 L 93.9 1789.7 L 93.9 1784.0 L 94.8 1784.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 59.6 1773.7 L 61.5 1776.7 Q 61.7 1777.0, 62.0 1777.5 Q 62.3 1778.0, 62.3 1778.1 L 62.3 1773.7 L 63.0 1773.7 L 63.0 1779.3 L 62.3 1779.3 L 60.3 1776.1 Q 60.0 1775.7, 59.8 1775.2 Q 59.6 1774.8, 59.5 1774.7 L 59.5 1779.3 L 58.7 1779.3 L 58.7 1773.7 L 59.6 1773.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 65.5 1741.8 L 67.4 1744.8 Q 67.6 1745.1, 67.9 1745.6 Q 68.2 1746.1, 68.2 1746.2 L 68.2 1741.8 L 68.9 1741.8 L 68.9 1747.4 L 68.2 1747.4 L 66.2 1744.2 Q 65.9 1743.8, 65.7 1743.3 Q 65.4 1742.9, 65.4 1742.8 L 65.4 1747.4 L 64.6 1747.4 L 64.6 1741.8 L 65.5 1741.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 64.6 1735.5 L 65.3 1735.5 L 65.3 1737.9 L 68.2 1737.9 L 68.2 1735.5 L 69.0 1735.5 L 69.0 1741.2 L 68.2 1741.2 L 68.2 1738.6 L 65.3 1738.6 L 65.3 1741.2 L 64.6 1741.2 L 64.6 1735.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 61.2,1790.2 L 63.9,1782.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 63.9,1782.4 L 66.5,1774.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 66.5,1774.6 L 61.2,1768.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 61.2,1768.6 L 55.9,1762.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 54.3,1756.2 L 57.0,1748.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 62.9,1744.0 L 68.9,1742.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 68.9,1742.8 L 74.8,1741.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 81.9,1739.6 L 87.2,1745.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 92.5,1751.6 L 112.2,1747.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 96.3,1755.0 L 110.0,1752.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-11 atom-5\" d=\"M 86.1,1770.6 L 92.5,1751.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 112.2,1747.6 L 125.4,1762.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 125.4,1762.7 L 134.2,1760.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 134.2,1760.9 L 142.9,1759.1\" style=\"fill:none;fill-rule:evenodd;stroke:#33CCCC;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 125.4,1762.7 L 119.1,1781.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 120.7,1764.2 L 116.2,1777.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 119.1,1781.7 L 110.6,1783.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 110.6,1783.4 L 102.1,1785.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 96.7,1782.6 L 91.4,1776.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 91.4,1776.6 L 86.1,1770.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 98.2,1778.2 L 94.4,1774.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 94.4,1774.0 L 90.7,1769.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 57.5 1793.6 Q 57.5 1792.3, 58.2 1791.5 Q 58.8 1790.7, 60.1 1790.7 Q 61.4 1790.7, 62.0 1791.5 Q 62.7 1792.3, 62.7 1793.6 Q 62.7 1795.0, 62.0 1795.8 Q 61.3 1796.6, 60.1 1796.6 Q 58.9 1796.6, 58.2 1795.8 Q 57.5 1795.0, 57.5 1793.6 M 60.1 1795.9 Q 61.0 1795.9, 61.4 1795.4 Q 61.9 1794.8, 61.9 1793.6 Q 61.9 1792.5, 61.4 1792.0 Q 61.0 1791.4, 60.1 1791.4 Q 59.2 1791.4, 58.8 1791.9 Q 58.3 1792.5, 58.3 1793.6 Q 58.3 1794.8, 58.8 1795.4 Q 59.2 1795.9, 60.1 1795.9 \" fill=\"#FF0000\"/>\n",
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+       "<path class=\"atom-2\" d=\"M 52.0 1756.7 L 53.8 1759.7 Q 54.0 1760.0, 54.3 1760.6 Q 54.6 1761.1, 54.6 1761.2 L 54.6 1756.7 L 55.4 1756.7 L 55.4 1762.4 L 54.6 1762.4 L 52.6 1759.1 Q 52.4 1758.7, 52.1 1758.3 Q 51.9 1757.9, 51.8 1757.7 L 51.8 1762.4 L 51.1 1762.4 L 51.1 1756.7 L 52.0 1756.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 78.0 1733.8 L 79.8 1736.8 Q 80.0 1737.1, 80.3 1737.6 Q 80.6 1738.1, 80.6 1738.2 L 80.6 1733.8 L 81.4 1733.8 L 81.4 1739.4 L 80.6 1739.4 L 78.6 1736.1 Q 78.4 1735.8, 78.1 1735.3 Q 77.9 1734.9, 77.8 1734.7 L 77.8 1739.4 L 77.1 1739.4 L 77.1 1733.8 L 78.0 1733.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 143.4 1755.8 L 146.8 1755.8 L 146.8 1756.5 L 144.2 1756.5 L 144.2 1758.2 L 146.5 1758.2 L 146.5 1758.9 L 144.2 1758.9 L 144.2 1761.5 L 143.4 1761.5 L 143.4 1755.8 \" fill=\"#33CCCC\"/>\n",
+       "<path class=\"atom-10\" d=\"M 98.1 1782.8 L 100.0 1785.8 Q 100.2 1786.1, 100.5 1786.7 Q 100.8 1787.2, 100.8 1787.2 L 100.8 1782.8 L 101.6 1782.8 L 101.6 1788.5 L 100.8 1788.5 L 98.8 1785.2 Q 98.5 1784.8, 98.3 1784.4 Q 98.1 1783.9, 98.0 1783.8 L 98.0 1788.5 L 97.2 1788.5 L 97.2 1782.8 L 98.1 1782.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 1859.4 L 50.0 1859.4 L 50.0 1851.0 L 47.3 1851.8 L 46.9 1850.9 L 50.4 1849.3 L 51.5 1849.5 L 51.5 1859.4 L 53.7 1859.4 L 53.7 1860.7 L 47.5 1860.7 L 47.5 1859.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 1848.3 L 60.5 1848.3 L 60.5 1863.8 L 59.1 1863.8 L 59.1 1848.3 \" fill=\"#000000\"/>\n",
@@ -5155,43 +5203,39 @@
        "<path d=\"M 108.0 1849.4 Q 109.9 1849.4, 110.9 1850.3 Q 111.9 1851.1, 111.9 1852.7 Q 111.9 1854.3, 110.9 1855.2 Q 109.9 1856.1, 108.0 1856.1 L 106.2 1856.1 L 106.2 1860.7 L 104.6 1860.7 L 104.6 1849.4 L 108.0 1849.4 M 108.0 1854.8 Q 109.1 1854.8, 109.7 1854.3 Q 110.3 1853.7, 110.3 1852.7 Q 110.3 1851.7, 109.7 1851.2 Q 109.1 1850.7, 108.0 1850.7 L 106.2 1850.7 L 106.2 1854.8 L 108.0 1854.8 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 231.4,1787.5 L 233.9,1779.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 233.9,1779.6 L 236.5,1771.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 236.5,1771.8 L 231.1,1765.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 231.1,1765.8 L 225.7,1759.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 237.8,1767.3 L 234.0,1763.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 234.0,1763.1 L 230.3,1758.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-1\" d=\"M 256.1,1767.5 L 236.5,1771.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 224.1,1753.6 L 226.6,1745.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 226.6,1745.7 L 229.1,1737.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 229.1,1737.8 L 237.6,1736.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 237.6,1736.0 L 246.1,1734.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 232.5,1741.2 L 238.5,1739.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 238.5,1739.9 L 244.4,1738.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 251.4,1736.5 L 256.8,1742.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 256.8,1742.5 L 262.2,1748.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 262.2,1748.5 L 281.8,1744.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 266.0,1751.7 L 279.7,1748.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-12 atom-5\" d=\"M 256.1,1767.5 L 262.2,1748.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 281.8,1744.2 L 295.3,1759.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 295.3,1759.1 L 303.5,1757.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 303.5,1757.3 L 311.7,1755.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 295.3,1759.1 L 289.1,1778.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 290.5,1760.7 L 286.2,1774.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 289.1,1778.2 L 269.5,1782.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 269.5,1782.4 L 267.0,1790.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 267.0,1790.3 L 264.5,1798.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 269.5,1782.4 L 256.1,1767.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 270.5,1777.5 L 261.1,1767.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 229.1 1788.0 L 230.9 1791.0 Q 231.1 1791.3, 231.4 1791.9 Q 231.7 1792.4, 231.7 1792.4 L 231.7 1788.0 L 232.5 1788.0 L 232.5 1793.7 L 231.7 1793.7 L 229.7 1790.4 Q 229.5 1790.0, 229.2 1789.6 Q 229.0 1789.1, 228.9 1789.0 L 228.9 1793.7 L 228.2 1793.7 L 228.2 1788.0 L 229.1 1788.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 233.2 1788.0 L 233.9 1788.0 L 233.9 1790.4 L 236.8 1790.4 L 236.8 1788.0 L 237.6 1788.0 L 237.6 1793.7 L 236.8 1793.7 L 236.8 1791.1 L 233.9 1791.1 L 233.9 1793.7 L 233.2 1793.7 L 233.2 1788.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 237.9 1793.5 Q 238.0 1793.1, 238.4 1792.9 Q 238.7 1792.7, 239.1 1792.7 Q 239.7 1792.7, 240.0 1793.1 Q 240.3 1793.4, 240.3 1793.9 Q 240.3 1794.5, 239.9 1795.0 Q 239.5 1795.5, 238.7 1796.1 L 240.4 1796.1 L 240.4 1796.5 L 237.9 1796.5 L 237.9 1796.2 Q 238.6 1795.7, 239.0 1795.3 Q 239.4 1794.9, 239.6 1794.6 Q 239.8 1794.3, 239.8 1793.9 Q 239.8 1793.6, 239.6 1793.4 Q 239.5 1793.2, 239.1 1793.2 Q 238.8 1793.2, 238.6 1793.3 Q 238.4 1793.4, 238.3 1793.7 L 237.9 1793.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 221.8 1754.1 L 223.6 1757.1 Q 223.8 1757.4, 224.1 1757.9 Q 224.4 1758.5, 224.4 1758.5 L 224.4 1754.1 L 225.2 1754.1 L 225.2 1759.8 L 224.4 1759.8 L 222.4 1756.5 Q 222.2 1756.1, 221.9 1755.6 Q 221.7 1755.2, 221.6 1755.1 L 221.6 1759.8 L 220.9 1759.8 L 220.9 1754.1 L 221.8 1754.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 247.5 1730.8 L 249.3 1733.8 Q 249.5 1734.1, 249.8 1734.6 Q 250.1 1735.1, 250.1 1735.2 L 250.1 1730.8 L 250.9 1730.8 L 250.9 1736.4 L 250.1 1736.4 L 248.1 1733.2 Q 247.9 1732.8, 247.6 1732.3 Q 247.4 1731.9, 247.3 1731.7 L 247.3 1736.4 L 246.6 1736.4 L 246.6 1730.8 L 247.5 1730.8 \" fill=\"#0000FF\"/>\n",
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-       "<path class=\"atom-8\" d=\"M 318.1 1752.0 L 318.9 1752.0 L 318.9 1754.5 L 321.8 1754.5 L 321.8 1752.0 L 322.6 1752.0 L 322.6 1757.7 L 321.8 1757.7 L 321.8 1755.1 L 318.9 1755.1 L 318.9 1757.7 L 318.1 1757.7 L 318.1 1752.0 \" fill=\"#FF0000\"/>\n",
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+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 243.6,1749.7 L 237.1,1754.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 237.1,1754.9 L 230.6,1760.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 236.4,1781.0 L 244.4,1784.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 252.4,1787.2 L 268.0,1774.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 252.3,1782.2 L 263.2,1773.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 268.0,1774.6 L 276.1,1777.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 264.9,1754.8 L 268.0,1774.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 289.4,1779.7 L 295.9,1774.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 295.9,1774.5 L 302.3,1769.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 288.8,1775.0 L 293.4,1771.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 293.4,1771.3 L 297.9,1767.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 302.3,1769.2 L 299.2,1749.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 299.2,1749.4 L 280.5,1742.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 295.0,1752.1 L 281.9,1747.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 280.5,1742.2 L 264.9,1754.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 264.9,1754.8 L 256.9,1751.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 256.9,1751.7 L 248.9,1748.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 261.1,1757.6 L 255.5,1755.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 255.5,1755.4 L 249.9,1753.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"atom-0\" d=\"M 210.7 1750.1 L 212.5 1753.1 Q 212.7 1753.4, 213.0 1753.9 Q 213.3 1754.5, 213.3 1754.5 L 213.3 1750.1 L 214.1 1750.1 L 214.1 1755.8 L 213.3 1755.8 L 211.3 1752.5 Q 211.1 1752.1, 210.8 1751.7 Q 210.6 1751.2, 210.5 1751.1 L 210.5 1755.8 L 209.8 1755.8 L 209.8 1750.1 L 210.7 1750.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 232.5 1777.1 L 234.3 1780.1 Q 234.5 1780.4, 234.8 1781.0 Q 235.1 1781.5, 235.1 1781.5 L 235.1 1777.1 L 235.9 1777.1 L 235.9 1782.8 L 235.1 1782.8 L 233.1 1779.5 Q 232.9 1779.1, 232.6 1778.7 Q 232.4 1778.3, 232.3 1778.1 L 232.3 1782.8 L 231.6 1782.8 L 231.6 1777.1 L 232.5 1777.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-5\" d=\"M 285.5 1779.0 L 287.3 1782.0 Q 287.5 1782.3, 287.8 1782.8 Q 288.1 1783.4, 288.1 1783.4 L 288.1 1779.0 L 288.9 1779.0 L 288.9 1784.7 L 288.1 1784.7 L 286.1 1781.4 Q 285.9 1781.0, 285.6 1780.5 Q 285.4 1780.1, 285.3 1780.0 L 285.3 1784.7 L 284.6 1784.7 L 284.6 1779.0 L 285.5 1779.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 245.0 1744.7 L 246.8 1747.7 Q 247.0 1748.0, 247.3 1748.6 Q 247.6 1749.1, 247.6 1749.1 L 247.6 1744.7 L 248.4 1744.7 L 248.4 1750.4 L 247.6 1750.4 L 245.6 1747.1 Q 245.4 1746.7, 245.1 1746.3 Q 244.9 1745.9, 244.8 1745.7 L 244.8 1750.4 L 244.1 1750.4 L 244.1 1744.7 L 245.0 1744.7 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 217.5 1859.4 L 220.0 1859.4 L 220.0 1851.0 L 217.3 1851.8 L 216.9 1850.9 L 220.4 1849.3 L 221.5 1849.5 L 221.5 1859.4 L 223.7 1859.4 L 223.7 1860.7 L 217.5 1860.7 L 217.5 1859.4 \" fill=\"#000000\"/>\n",
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        "<path d=\"M 229.1 1848.3 L 230.5 1848.3 L 230.5 1863.8 L 229.1 1863.8 L 229.1 1848.3 \" fill=\"#000000\"/>\n",
@@ -5207,30 +5251,38 @@
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        "<path d=\"M 282.4 1848.6 L 283.5 1848.6 L 283.5 1852.0 L 282.4 1852.0 L 282.4 1848.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 384.3,1753.8 L 392.4,1757.0\" style=\"fill:none;fill-rule:evenodd;stroke:#CCCC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 392.4,1757.0 L 400.6,1760.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 400.6,1760.2 L 403.7,1780.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 416.2,1747.6 L 400.6,1760.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 403.7,1780.0 L 422.4,1787.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 422.4,1787.2 L 438.0,1774.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 422.3,1782.2 L 433.2,1773.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 438.0,1774.6 L 446.1,1777.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 446.1,1777.7 L 454.1,1780.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 434.9,1754.8 L 438.0,1774.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 459.4,1779.7 L 465.9,1774.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 465.9,1774.5 L 472.3,1769.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 458.8,1775.0 L 463.4,1771.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 463.4,1771.3 L 467.9,1767.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 472.3,1769.2 L 469.2,1749.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 469.2,1749.4 L 450.5,1742.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 465.0,1752.1 L 451.9,1747.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 450.5,1742.2 L 434.9,1754.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 434.9,1754.8 L 416.2,1747.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 430.7,1757.5 L 417.6,1752.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 375.3 1750.1 L 376.1 1750.1 L 376.1 1752.5 L 379.0 1752.5 L 379.0 1750.1 L 379.7 1750.1 L 379.7 1755.8 L 379.0 1755.8 L 379.0 1753.2 L 376.1 1753.2 L 376.1 1755.8 L 375.3 1755.8 L 375.3 1750.1 \" fill=\"#CCCC00\"/>\n",
-       "<path class=\"atom-0\" d=\"M 380.3 1754.9 Q 380.4 1754.9, 380.7 1755.0 Q 380.9 1755.1, 381.2 1755.2 Q 381.5 1755.3, 381.8 1755.3 Q 382.3 1755.3, 382.6 1755.0 Q 383.0 1754.8, 383.0 1754.3 Q 383.0 1754.0, 382.8 1753.8 Q 382.6 1753.6, 382.4 1753.5 Q 382.2 1753.4, 381.8 1753.3 Q 381.3 1753.1, 381.0 1753.0 Q 380.7 1752.8, 380.4 1752.5 Q 380.2 1752.2, 380.2 1751.7 Q 380.2 1751.0, 380.7 1750.6 Q 381.2 1750.1, 382.2 1750.1 Q 382.8 1750.1, 383.6 1750.4 L 383.4 1751.0 Q 382.7 1750.8, 382.2 1750.8 Q 381.6 1750.8, 381.3 1751.0 Q 381.0 1751.2, 381.0 1751.6 Q 381.0 1751.9, 381.2 1752.1 Q 381.3 1752.3, 381.6 1752.4 Q 381.8 1752.5, 382.2 1752.6 Q 382.7 1752.8, 383.0 1752.9 Q 383.3 1753.1, 383.5 1753.4 Q 383.8 1753.8, 383.8 1754.3 Q 383.8 1755.1, 383.2 1755.5 Q 382.7 1755.9, 381.8 1755.9 Q 381.3 1755.9, 380.9 1755.8 Q 380.6 1755.7, 380.1 1755.5 L 380.3 1754.9 \" fill=\"#CCCC00\"/>\n",
-       "<path class=\"atom-5\" d=\"M 455.5 1779.0 L 457.3 1782.0 Q 457.5 1782.3, 457.8 1782.8 Q 458.1 1783.4, 458.1 1783.4 L 458.1 1779.0 L 458.9 1779.0 L 458.9 1784.7 L 458.1 1784.7 L 456.1 1781.4 Q 455.9 1781.0, 455.6 1780.5 Q 455.4 1780.1, 455.3 1780.0 L 455.3 1784.7 L 454.6 1784.7 L 454.6 1779.0 L 455.5 1779.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 408.8,1735.1 L 410.7,1743.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 399.1 1848.3 L 400.5 1848.3 L 400.5 1863.8 L 399.1 1863.8 L 399.1 1848.3 \" fill=\"#000000\"/>\n",
@@ -5246,28 +5298,36 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 645.0,1754.6 L 636.8,1757.5\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 636.8,1757.5 L 628.6,1760.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 628.6,1760.5 L 624.9,1780.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 613.3,1747.5 L 628.6,1760.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 606.0,1786.9 L 590.8,1773.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 606.3,1781.9 L 595.7,1772.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 590.8,1773.9 L 582.2,1775.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-10 atom-8 atom-4\" d=\"M 594.4,1754.2 L 590.8,1773.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 569.3,1773.2 L 565.8,1765.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 565.8,1765.8 L 562.2,1758.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 562.2,1758.4 L 576.8,1744.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 567.2,1759.3 L 577.4,1749.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 576.8,1744.6 L 594.4,1754.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 594.4,1754.2 L 613.3,1747.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 598.6,1756.9 L 611.8,1752.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 648.3 1753.6 Q 648.8 1753.8, 649.1 1754.1 Q 649.4 1754.4, 649.4 1754.9 Q 649.4 1755.7, 648.9 1756.1 Q 648.4 1756.6, 647.4 1756.6 L 645.5 1756.6 L 645.5 1750.9 L 647.2 1750.9 Q 648.2 1750.9, 648.7 1751.3 Q 649.1 1751.7, 649.1 1752.4 Q 649.1 1753.3, 648.3 1753.6 M 646.3 1751.6 L 646.3 1753.3 L 647.2 1753.3 Q 647.8 1753.3, 648.0 1753.1 Q 648.3 1752.9, 648.3 1752.4 Q 648.3 1751.6, 647.2 1751.6 L 646.3 1751.6 M 647.4 1755.9 Q 648.0 1755.9, 648.3 1755.7 Q 648.6 1755.4, 648.6 1754.9 Q 648.6 1754.4, 648.2 1754.2 Q 647.9 1754.0, 647.3 1754.0 L 646.3 1754.0 L 646.3 1755.9 L 647.4 1755.9 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-0\" d=\"M 650.7 1752.5 L 650.8 1753.0 Q 651.2 1752.4, 651.9 1752.4 Q 652.1 1752.4, 652.4 1752.5 L 652.3 1753.2 Q 652.0 1753.1, 651.8 1753.1 Q 651.4 1753.1, 651.2 1753.2 Q 651.0 1753.3, 650.8 1753.6 L 650.8 1756.6 L 650.1 1756.6 L 650.1 1752.5 L 650.7 1752.5 \" fill=\"#7F4C19\"/>\n",
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+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 570.7,1773.7 L 570.7,1765.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 570.7,1765.3 L 570.7,1756.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 574.7,1771.1 L 574.7,1765.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 574.7,1765.3 L 574.7,1759.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 578.1,1777.9 L 570.7,1773.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 573.4,1752.1 L 580.7,1747.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 605.4,1753.6 L 613.6,1750.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-9 atom-7 atom-3\" d=\"M 605.4,1773.7 L 605.4,1753.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 803.9,1774.5 L 810.0,1768.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 810.0,1768.9 L 805.5,1749.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 805.5,1749.3 L 786.4,1743.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 786.4,1743.4 L 771.7,1757.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 786.9,1748.4 L 776.6,1758.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 758.1,1783.7 L 740.7,1773.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 783.6,1750.9 L 791.9,1748.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"atom-2\" d=\"M 756.8 1740.7 L 758.7 1743.7 Q 758.9 1744.0, 759.2 1744.6 Q 759.5 1745.1, 759.5 1745.2 L 759.5 1740.7 L 760.2 1740.7 L 760.2 1746.4 L 759.5 1746.4 L 757.5 1743.1 Q 757.2 1742.7, 757.0 1742.3 Q 756.7 1741.9, 756.7 1741.7 L 756.7 1746.4 L 755.9 1746.4 L 755.9 1740.7 L 756.8 1740.7 \" fill=\"#0000FF\"/>\n",
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-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 925.9,1788.0 L 934.3,1790.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 921.1,1782.5 L 927.0,1784.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 927.0,1784.1 L 932.8,1785.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 939.6,1788.2 L 945.3,1782.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 945.3,1782.4 L 951.1,1776.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 951.1,1776.6 L 970.5,1781.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 955.0,1773.5 L 968.6,1777.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-9 atom-4\" d=\"M 945.8,1757.3 L 951.1,1776.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 970.5,1781.7 L 984.6,1767.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 984.6,1767.5 L 979.3,1748.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 979.9,1765.6 L 976.2,1752.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 979.3,1748.1 L 959.9,1743.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 959.9,1743.0 L 945.8,1757.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 960.6,1748.0 L 950.8,1758.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 945.8,1757.3 L 926.4,1752.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 928.3,1751.6 L 926.2,1743.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 926.2,1743.7 L 924.0,1735.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 924.5,1752.7 L 922.3,1744.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 922.3,1744.8 L 920.1,1736.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 911.0 1763.6 L 912.9 1766.6 Q 913.1 1766.9, 913.4 1767.4 Q 913.7 1767.9, 913.7 1768.0 L 913.7 1763.6 L 914.5 1763.6 L 914.5 1769.2 L 913.7 1769.2 L 911.7 1766.0 Q 911.4 1765.6, 911.2 1765.1 Q 911.0 1764.7, 910.9 1764.6 L 910.9 1769.2 L 910.1 1769.2 L 910.1 1763.6 L 911.0 1763.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-3\" d=\"M 935.7 1788.0 L 937.6 1791.0 Q 937.8 1791.3, 938.0 1791.9 Q 938.3 1792.4, 938.4 1792.4 L 938.4 1788.0 L 939.1 1788.0 L 939.1 1793.7 L 938.3 1793.7 L 936.3 1790.4 Q 936.1 1790.0, 935.9 1789.6 Q 935.6 1789.1, 935.5 1789.0 L 935.5 1793.7 L 934.8 1793.7 L 934.8 1788.0 L 935.7 1788.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 918.5 1732.8 Q 918.5 1731.5, 919.2 1730.7 Q 919.9 1730.0, 921.1 1730.0 Q 922.4 1730.0, 923.1 1730.7 Q 923.7 1731.5, 923.7 1732.8 Q 923.7 1734.2, 923.1 1735.0 Q 922.4 1735.8, 921.1 1735.8 Q 919.9 1735.8, 919.2 1735.0 Q 918.5 1734.2, 918.5 1732.8 M 921.1 1735.1 Q 922.0 1735.1, 922.5 1734.6 Q 922.9 1734.0, 922.9 1732.8 Q 922.9 1731.7, 922.5 1731.2 Q 922.0 1730.6, 921.1 1730.6 Q 920.3 1730.6, 919.8 1731.2 Q 919.3 1731.7, 919.3 1732.8 Q 919.3 1734.0, 919.8 1734.6 Q 920.3 1735.1, 921.1 1735.1 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 916.9,1735.5 L 918.7,1743.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 918.7,1743.5 L 920.5,1751.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 920.8,1734.6 L 922.6,1742.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 922.6,1742.7 L 924.5,1750.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 922.5,1751.1 L 907.8,1764.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 941.7,1757.1 L 922.5,1751.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 907.8,1764.8 L 912.3,1784.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 912.4,1766.8 L 915.5,1780.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 912.3,1784.3 L 920.5,1786.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 920.5,1786.9 L 928.8,1789.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 934.1,1787.8 L 940.1,1782.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 940.1,1782.2 L 946.1,1776.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 946.1,1776.6 L 954.4,1779.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 954.4,1779.2 L 962.6,1781.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 949.8,1773.5 L 955.5,1775.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 955.5,1775.3 L 961.3,1777.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 941.7,1757.1 L 946.1,1776.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 967.9,1780.1 L 973.9,1774.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 973.9,1774.5 L 980.0,1768.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 980.0,1768.9 L 975.5,1749.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 975.4,1766.8 L 972.3,1753.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 975.5,1749.3 L 956.4,1743.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 956.4,1743.4 L 941.7,1757.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 956.9,1748.4 L 946.6,1758.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 915.4 1731.6 Q 915.4 1730.3, 916.1 1729.5 Q 916.8 1728.7, 918.0 1728.7 Q 919.3 1728.7, 920.0 1729.5 Q 920.6 1730.3, 920.6 1731.6 Q 920.6 1733.0, 920.0 1733.8 Q 919.3 1734.6, 918.0 1734.6 Q 916.8 1734.6, 916.1 1733.8 Q 915.4 1733.0, 915.4 1731.6 M 918.0 1733.9 Q 918.9 1733.9, 919.4 1733.3 Q 919.8 1732.8, 919.8 1731.6 Q 919.8 1730.5, 919.4 1729.9 Q 918.9 1729.4, 918.0 1729.4 Q 917.2 1729.4, 916.7 1729.9 Q 916.2 1730.5, 916.2 1731.6 Q 916.2 1732.8, 916.7 1733.3 Q 917.2 1733.9, 918.0 1733.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-4\" d=\"M 930.2 1787.4 L 932.0 1790.4 Q 932.2 1790.7, 932.5 1791.2 Q 932.8 1791.8, 932.8 1791.8 L 932.8 1787.4 L 933.6 1787.4 L 933.6 1793.1 L 932.8 1793.1 L 930.8 1789.8 Q 930.6 1789.4, 930.3 1789.0 Q 930.1 1788.5, 930.0 1788.4 L 930.0 1793.1 L 929.3 1793.1 L 929.3 1787.4 L 930.2 1787.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 929.2 1793.6 L 930.0 1793.6 L 930.0 1796.1 L 932.9 1796.1 L 932.9 1793.6 L 933.6 1793.6 L 933.6 1799.3 L 932.9 1799.3 L 932.9 1796.7 L 930.0 1796.7 L 930.0 1799.3 L 929.2 1799.3 L 929.2 1793.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 964.0 1779.7 L 965.9 1782.7 Q 966.1 1783.0, 966.4 1783.5 Q 966.6 1784.1, 966.7 1784.1 L 966.7 1779.7 L 967.4 1779.7 L 967.4 1785.4 L 966.6 1785.4 L 964.6 1782.1 Q 964.4 1781.7, 964.2 1781.2 Q 963.9 1780.8, 963.9 1780.7 L 963.9 1785.4 L 963.1 1785.4 L 963.1 1779.7 L 964.0 1779.7 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 897.5 1859.4 L 900.0 1859.4 L 900.0 1851.0 L 897.3 1851.8 L 896.9 1850.9 L 900.4 1849.3 L 901.5 1849.5 L 901.5 1859.4 L 903.7 1859.4 L 903.7 1860.7 L 897.5 1860.7 L 897.5 1859.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 909.1 1848.3 L 910.5 1848.3 L 910.5 1863.8 L 909.1 1863.8 L 909.1 1848.3 \" fill=\"#000000\"/>\n",
@@ -5367,28 +5427,39 @@
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        "<path d=\"M 962.4 1848.6 L 963.5 1848.6 L 963.5 1852.0 L 962.4 1852.0 L 962.4 1848.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 967.2 1848.3 L 967.2 1863.8 L 963.8 1863.8 L 963.8 1862.7 L 965.9 1862.7 L 965.9 1849.5 L 963.8 1849.5 L 963.8 1848.3 L 967.2 1848.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1154.8,1754.7 L 1146.7,1757.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1146.7,1757.6 L 1138.6,1760.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1138.6,1760.5 L 1134.9,1780.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1134.1,1762.7 L 1131.5,1776.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 1123.3,1747.5 L 1138.6,1760.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1134.9,1780.2 L 1116.0,1786.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1116.0,1786.9 L 1100.8,1773.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1116.3,1781.9 L 1105.7,1772.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1100.8,1773.9 L 1092.2,1775.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1092.2,1775.0 L 1083.5,1776.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-8 atom-4\" d=\"M 1104.4,1754.2 L 1100.8,1773.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1079.3,1773.2 L 1075.8,1765.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1075.8,1765.8 L 1072.2,1758.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1072.2,1758.4 L 1086.8,1744.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1077.2,1759.3 L 1087.4,1749.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1086.8,1744.6 L 1104.4,1754.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1104.4,1754.2 L 1123.3,1747.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1108.6,1756.9 L 1121.8,1752.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1155.3 1753.9 Q 1155.3 1752.5, 1155.9 1751.8 Q 1156.6 1751.1, 1157.8 1751.1 Q 1159.0 1751.1, 1159.6 1751.9 L 1159.1 1752.3 Q 1158.6 1751.7, 1157.8 1751.7 Q 1157.0 1751.7, 1156.5 1752.3 Q 1156.1 1752.9, 1156.1 1753.9 Q 1156.1 1755.1, 1156.5 1755.6 Q 1157.0 1756.2, 1157.9 1756.2 Q 1158.6 1756.2, 1159.3 1755.8 L 1159.5 1756.4 Q 1159.2 1756.6, 1158.8 1756.8 Q 1158.3 1756.9, 1157.8 1756.9 Q 1156.6 1756.9, 1155.9 1756.1 Q 1155.3 1755.4, 1155.3 1753.9 \" fill=\"#00CC00\"/>\n",
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-       "<path class=\"atom-5\" d=\"M 1073.6 1773.7 L 1074.4 1773.7 L 1074.4 1776.1 L 1077.3 1776.1 L 1077.3 1773.7 L 1078.1 1773.7 L 1078.1 1779.3 L 1077.3 1779.3 L 1077.3 1776.7 L 1074.4 1776.7 L 1074.4 1779.3 L 1073.6 1779.3 L 1073.6 1773.7 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1104.6,1758.1 L 1095.8,1776.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-12 atom-3\" d=\"M 1121.9,1756.8 L 1113.3,1757.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-12 atom-3\" d=\"M 1113.3,1757.5 L 1104.6,1758.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1095.8,1776.1 L 1075.8,1777.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1092.6,1772.3 L 1078.6,1773.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 1095.8,1776.1 L 1100.3,1782.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 1100.3,1782.7 L 1104.8,1789.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1109.7,1792.5 L 1118.4,1791.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1118.4,1791.9 L 1127.1,1791.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1112.0,1788.3 L 1118.1,1787.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1118.1,1787.9 L 1124.2,1787.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1127.1,1791.3 L 1135.8,1773.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1135.8,1773.3 L 1155.1,1767.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1137.6,1768.6 L 1151.1,1764.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-12 atom-8\" d=\"M 1126.9,1760.0 L 1131.3,1766.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-12 atom-8\" d=\"M 1131.3,1766.6 L 1135.8,1773.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1155.1,1767.7 L 1155.4,1759.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1155.4,1759.3 L 1155.6,1751.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1153.1,1746.7 L 1145.0,1743.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1145.0,1743.8 L 1136.9,1740.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1149.3,1749.6 L 1143.6,1747.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1143.6,1747.5 L 1138.0,1745.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1136.9,1740.8 L 1132.1,1747.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1132.1,1747.1 L 1127.2,1753.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-6\" d=\"M 1105.8 1789.9 L 1107.7 1792.9 Q 1107.9 1793.2, 1108.2 1793.7 Q 1108.5 1794.3, 1108.5 1794.3 L 1108.5 1789.9 L 1109.2 1789.9 L 1109.2 1795.6 L 1108.5 1795.6 L 1106.5 1792.3 Q 1106.2 1791.9, 1106.0 1791.4 Q 1105.7 1791.0, 1105.7 1790.9 L 1105.7 1795.6 L 1104.9 1795.6 L 1104.9 1789.9 L 1105.8 1789.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 1154.5 1744.8 L 1156.4 1747.8 Q 1156.5 1748.1, 1156.8 1748.7 Q 1157.1 1749.2, 1157.2 1749.2 L 1157.2 1744.8 L 1157.9 1744.8 L 1157.9 1750.5 L 1157.1 1750.5 L 1155.1 1747.2 Q 1154.9 1746.8, 1154.7 1746.4 Q 1154.4 1745.9, 1154.3 1745.8 L 1154.3 1750.5 L 1153.6 1750.5 L 1153.6 1744.8 L 1154.5 1744.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-12\" d=\"M 1123.3 1753.8 L 1125.2 1756.8 Q 1125.4 1757.1, 1125.7 1757.7 Q 1126.0 1758.2, 1126.0 1758.2 L 1126.0 1753.8 L 1126.7 1753.8 L 1126.7 1759.5 L 1126.0 1759.5 L 1124.0 1756.2 Q 1123.7 1755.8, 1123.5 1755.4 Q 1123.2 1754.9, 1123.2 1754.8 L 1123.2 1759.5 L 1122.4 1759.5 L 1122.4 1753.8 L 1123.3 1753.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1067.5 1859.4 L 1070.0 1859.4 L 1070.0 1851.0 L 1067.3 1851.8 L 1066.9 1850.9 L 1070.4 1849.3 L 1071.5 1849.5 L 1071.5 1859.4 L 1073.7 1859.4 L 1073.7 1860.7 L 1067.5 1860.7 L 1067.5 1859.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 1848.3 L 1080.5 1848.3 L 1080.5 1863.8 L 1079.1 1863.8 L 1079.1 1848.3 \" fill=\"#000000\"/>\n",
@@ -5404,29 +5475,32 @@
        "<path d=\"M 1128.0 1849.4 Q 1129.9 1849.4, 1130.9 1850.3 Q 1131.9 1851.1, 1131.9 1852.7 Q 1131.9 1854.3, 1130.9 1855.2 Q 1129.9 1856.1, 1128.0 1856.1 L 1126.2 1856.1 L 1126.2 1860.7 L 1124.6 1860.7 L 1124.6 1849.4 L 1128.0 1849.4 M 1128.0 1854.8 Q 1129.1 1854.8, 1129.7 1854.3 Q 1130.3 1853.7, 1130.3 1852.7 Q 1130.3 1851.7, 1129.7 1851.2 Q 1129.1 1850.7, 1128.0 1850.7 L 1126.2 1850.7 L 1126.2 1854.8 L 1128.0 1854.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.4 1848.6 L 1133.5 1848.6 L 1133.5 1852.0 L 1132.4 1852.0 L 1132.4 1848.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.2 1848.3 L 1137.2 1863.8 L 1133.8 1863.8 L 1133.8 1862.7 L 1135.9 1862.7 L 1135.9 1849.5 L 1133.8 1849.5 L 1133.8 1848.3 L 1137.2 1848.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 56.6,1911.8 L 68.5,1927.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 68.5,1927.9 L 62.4,1947.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 71.4,1932.0 L 67.2,1945.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 88.5,1927.8 L 68.5,1927.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 62.4,1947.0 L 69.3,1951.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 69.3,1951.9 L 76.1,1956.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 81.4,1956.7 L 88.1,1951.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 88.1,1951.8 L 94.9,1946.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 94.9,1946.8 L 114.5,1950.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 98.6,1943.5 L 112.4,1946.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-4\" d=\"M 88.5,1927.8 L 94.9,1946.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 114.5,1950.8 L 127.8,1935.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 127.8,1935.8 L 121.5,1916.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 123.1,1934.2 L 118.6,1920.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 121.5,1916.8 L 113.0,1915.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 113.0,1915.1 L 104.5,1913.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 99.2,1915.8 L 93.9,1921.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 93.9,1921.8 L 88.5,1927.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 100.6,1920.2 L 96.9,1924.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 96.9,1924.4 L 93.1,1928.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-3\" d=\"M 77.5 1955.9 L 79.4 1958.9 Q 79.5 1959.2, 79.8 1959.7 Q 80.1 1960.2, 80.1 1960.3 L 80.1 1955.9 L 80.9 1955.9 L 80.9 1961.5 L 80.1 1961.5 L 78.1 1958.3 Q 77.9 1957.9, 77.6 1957.4 Q 77.4 1957.0, 77.3 1956.9 L 77.3 1961.5 L 76.6 1961.5 L 76.6 1955.9 L 77.5 1955.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-3\" d=\"M 76.5 1962.1 L 77.3 1962.1 L 77.3 1964.5 L 80.2 1964.5 L 80.2 1962.1 L 81.0 1962.1 L 81.0 1967.8 L 80.2 1967.8 L 80.2 1965.2 L 77.3 1965.2 L 77.3 1967.8 L 76.5 1967.8 L 76.5 1962.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 100.6 1909.9 L 102.4 1912.9 Q 102.6 1913.2, 102.9 1913.8 Q 103.2 1914.3, 103.2 1914.4 L 103.2 1909.9 L 104.0 1909.9 L 104.0 1915.6 L 103.2 1915.6 L 101.2 1912.3 Q 101.0 1911.9, 100.7 1911.5 Q 100.5 1911.1, 100.4 1910.9 L 100.4 1915.6 L 99.7 1915.6 L 99.7 1909.9 L 100.6 1909.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 122.3,1943.7 L 105.0,1953.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 117.7,1941.7 L 105.6,1948.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 122.3,1926.9 L 122.3,1935.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 122.3,1935.3 L 122.3,1943.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 97.6,1949.4 L 90.3,1945.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 85.0,1944.5 L 76.8,1947.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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@@ -5526,36 +5606,32 @@
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-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 610.5,1919.4 L 603.1,1923.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 617.6,1919.9 L 612.5,1922.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 612.5,1922.8 L 607.3,1925.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"atom-0\" d=\"M 549.6 1933.6 Q 549.6 1932.3, 550.3 1931.5 Q 550.9 1930.8, 552.2 1930.8 Q 553.5 1930.8, 554.1 1931.5 Q 554.8 1932.3, 554.8 1933.6 Q 554.8 1935.0, 554.1 1935.8 Q 553.4 1936.6, 552.2 1936.6 Q 551.0 1936.6, 550.3 1935.8 Q 549.6 1935.0, 549.6 1933.6 M 552.2 1935.9 Q 553.1 1935.9, 553.5 1935.4 Q 554.0 1934.8, 554.0 1933.6 Q 554.0 1932.5, 553.5 1932.0 Q 553.1 1931.4, 552.2 1931.4 Q 551.3 1931.4, 550.9 1932.0 Q 550.4 1932.5, 550.4 1933.6 Q 550.4 1934.8, 550.9 1935.4 Q 551.3 1935.9, 552.2 1935.9 \" fill=\"#FF0000\"/>\n",
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+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 622.2,1905.8 L 619.9,1913.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 619.9,1913.7 L 617.6,1921.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 557.5 2029.4 L 560.0 2029.4 L 560.0 2021.0 L 557.3 2021.8 L 556.9 2020.9 L 560.4 2019.3 L 561.5 2019.5 L 561.5 2029.4 L 563.7 2029.4 L 563.7 2030.7 L 557.5 2030.7 L 557.5 2029.4 \" fill=\"#000000\"/>\n",
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@@ -5580,16 +5656,16 @@
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        "<path class=\"bond-2 atom-2 atom-3\" d=\"M 738.6,1938.1 L 740.4,1946.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-2 atom-2 atom-3\" d=\"M 740.4,1946.2 L 742.3,1954.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 742.3,1954.3 L 761.4,1960.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 746.3,1951.4 L 759.7,1955.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 761.4,1960.2 L 776.1,1946.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 776.1,1946.6 L 784.4,1949.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 784.4,1949.2 L 792.6,1951.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 779.8,1943.5 L 785.5,1945.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 785.5,1945.3 L 791.3,1947.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 742.3,1954.3 L 750.5,1956.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path class=\"bond-11 atom-10 atom-5\" d=\"M 771.7,1927.1 L 776.1,1946.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 797.9,1950.1 L 803.9,1944.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 803.9,1944.5 L 810.0,1938.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 795.3,1952.5 L 810.0,1938.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-7 atom-7 atom-8\" d=\"M 810.0,1938.9 L 805.5,1919.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-7 atom-7 atom-8\" d=\"M 805.4,1936.8 L 802.3,1923.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
        "<path class=\"bond-8 atom-8 atom-9\" d=\"M 805.5,1919.3 L 797.3,1916.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
@@ -5602,7 +5678,7 @@
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-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 96.1,2116.6 L 115.3,2122.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 100.2,2113.7 L 113.6,2117.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 91.7,2097.1 L 96.1,2116.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 115.3,2122.5 L 130.0,2108.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 130.0,2108.9 L 125.5,2089.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 125.4,2106.8 L 122.3,2093.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 125.5,2089.3 L 117.3,2086.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 117.3,2086.8 L 109.0,2084.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 103.7,2085.9 L 97.7,2091.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 97.7,2091.5 L 91.7,2097.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 104.6,2090.5 L 100.4,2094.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 100.4,2094.4 L 96.2,2098.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 66.8 2068.8 L 68.6 2071.8 Q 68.8 2072.1, 69.1 2072.6 Q 69.4 2073.1, 69.4 2073.2 L 69.4 2068.8 L 70.2 2068.8 L 70.2 2074.4 L 69.4 2074.4 L 67.4 2071.2 Q 67.2 2070.8, 66.9 2070.3 Q 66.7 2069.9, 66.6 2069.7 L 66.6 2074.4 L 65.9 2074.4 L 65.9 2068.8 L 66.8 2068.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 70.9 2068.8 L 71.6 2068.8 L 71.6 2071.2 L 74.5 2071.2 L 74.5 2068.8 L 75.3 2068.8 L 75.3 2074.4 L 74.5 2074.4 L 74.5 2071.8 L 71.6 2071.8 L 71.6 2074.4 L 70.9 2074.4 L 70.9 2068.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 75.6 2074.2 Q 75.7 2073.9, 76.1 2073.7 Q 76.4 2073.5, 76.8 2073.5 Q 77.4 2073.5, 77.7 2073.8 Q 78.0 2074.1, 78.0 2074.6 Q 78.0 2075.2, 77.6 2075.7 Q 77.2 2076.2, 76.4 2076.9 L 78.1 2076.9 L 78.1 2077.3 L 75.6 2077.3 L 75.6 2076.9 Q 76.3 2076.4, 76.7 2076.1 Q 77.1 2075.7, 77.3 2075.4 Q 77.5 2075.0, 77.5 2074.7 Q 77.5 2074.3, 77.3 2074.1 Q 77.2 2073.9, 76.8 2073.9 Q 76.5 2073.9, 76.3 2074.0 Q 76.1 2074.2, 76.0 2074.4 L 75.6 2074.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 56.5 2101.9 L 58.4 2104.9 Q 58.6 2105.2, 58.9 2105.8 Q 59.2 2106.3, 59.2 2106.4 L 59.2 2101.9 L 60.0 2101.9 L 60.0 2107.6 L 59.2 2107.6 L 57.2 2104.3 Q 56.9 2103.9, 56.7 2103.5 Q 56.5 2103.1, 56.4 2102.9 L 56.4 2107.6 L 55.6 2107.6 L 55.6 2101.9 L 56.5 2101.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 105.1 2080.6 L 107.0 2083.6 Q 107.1 2083.9, 107.4 2084.4 Q 107.7 2085.0, 107.8 2085.0 L 107.8 2080.6 L 108.5 2080.6 L 108.5 2086.3 L 107.7 2086.3 L 105.7 2083.0 Q 105.5 2082.6, 105.2 2082.1 Q 105.0 2081.7, 104.9 2081.6 L 104.9 2086.3 L 104.2 2086.3 L 104.2 2080.6 L 105.1 2080.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 151.5,2102.7 L 142.6,2102.0\" style=\"fill:none;fill-rule:evenodd;stroke:#33CCCC;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 142.6,2102.0 L 133.7,2101.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 133.7,2101.3 L 125.1,2083.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 128.8,2100.3 L 122.7,2087.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-6 atom-1\" d=\"M 122.3,2117.8 L 133.7,2101.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 125.1,2083.2 L 105.1,2081.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 105.1,2081.7 L 93.7,2098.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 106.7,2086.4 L 98.7,2098.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 93.7,2098.2 L 102.4,2116.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-13 atom-4\" d=\"M 73.7,2096.6 L 93.7,2098.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 102.4,2116.3 L 122.3,2117.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 105.7,2112.5 L 119.7,2113.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 102.4,2116.3 L 97.8,2122.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 97.8,2122.9 L 93.3,2129.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 88.4,2132.6 L 79.7,2131.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 79.7,2131.9 L 71.0,2131.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 86.1,2128.4 L 80.0,2127.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 80.0,2127.9 L 73.9,2127.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 71.0,2131.2 L 62.4,2113.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 62.4,2113.1 L 54.1,2110.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 54.1,2110.7 L 45.8,2108.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-13 atom-9\" d=\"M 73.7,2096.6 L 62.4,2113.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-13 atom-9\" d=\"M 75.3,2101.4 L 67.4,2112.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 43.1,2104.1 L 42.9,2095.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 42.9,2095.8 L 42.6,2087.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 47.0,2101.5 L 46.9,2095.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 46.9,2095.7 L 46.7,2089.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 42.6,2087.4 L 50.8,2084.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 50.8,2084.5 L 58.9,2081.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 64.1,2084.1 L 68.9,2090.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 68.9,2090.3 L 73.7,2096.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 152.0 2100.1 L 155.4 2100.1 L 155.4 2100.7 L 152.8 2100.7 L 152.8 2102.4 L 155.1 2102.4 L 155.1 2103.1 L 152.8 2103.1 L 152.8 2105.7 L 152.0 2105.7 L 152.0 2100.1 \" fill=\"#33CCCC\"/>\n",
+       "<path class=\"atom-7\" d=\"M 89.8 2130.0 L 91.6 2133.0 Q 91.8 2133.3, 92.1 2133.8 Q 92.4 2134.3, 92.4 2134.4 L 92.4 2130.0 L 93.2 2130.0 L 93.2 2135.6 L 92.4 2135.6 L 90.4 2132.4 Q 90.2 2132.0, 89.9 2131.5 Q 89.7 2131.1, 89.6 2131.0 L 89.6 2135.6 L 88.9 2135.6 L 88.9 2130.0 L 89.8 2130.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 41.9 2104.6 L 43.8 2107.6 Q 44.0 2107.9, 44.3 2108.5 Q 44.5 2109.0, 44.6 2109.0 L 44.6 2104.6 L 45.3 2104.6 L 45.3 2110.3 L 44.5 2110.3 L 42.5 2107.0 Q 42.3 2106.6, 42.1 2106.2 Q 41.8 2105.7, 41.7 2105.6 L 41.7 2110.3 L 41.0 2110.3 L 41.0 2104.6 L 41.9 2104.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-12\" d=\"M 60.3 2077.9 L 62.1 2080.9 Q 62.3 2081.2, 62.6 2081.7 Q 62.9 2082.3, 62.9 2082.3 L 62.9 2077.9 L 63.7 2077.9 L 63.7 2083.6 L 62.9 2083.6 L 60.9 2080.3 Q 60.7 2079.9, 60.4 2079.4 Q 60.2 2079.0, 60.1 2078.9 L 60.1 2083.6 L 59.4 2083.6 L 59.4 2077.9 L 60.3 2077.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-12\" d=\"M 59.3 2071.6 L 60.1 2071.6 L 60.1 2074.0 L 63.0 2074.0 L 63.0 2071.6 L 63.8 2071.6 L 63.8 2077.3 L 63.0 2077.3 L 63.0 2074.7 L 60.1 2074.7 L 60.1 2077.3 L 59.3 2077.3 L 59.3 2071.6 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 2199.4 L 50.0 2199.4 L 50.0 2191.0 L 47.3 2191.8 L 46.9 2190.9 L 50.4 2189.3 L 51.5 2189.5 L 51.5 2199.4 L 53.7 2199.4 L 53.7 2200.7 L 47.5 2200.7 L 47.5 2199.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 2188.3 L 60.5 2188.3 L 60.5 2203.8 L 59.1 2203.8 L 59.1 2188.3 \" fill=\"#000000\"/>\n",
@@ -5745,44 +5840,63 @@
        "<path d=\"M 108.0 2189.4 Q 109.9 2189.4, 110.9 2190.3 Q 111.9 2191.1, 111.9 2192.7 Q 111.9 2194.3, 110.9 2195.2 Q 109.9 2196.1, 108.0 2196.1 L 106.2 2196.1 L 106.2 2200.7 L 104.6 2200.7 L 104.6 2189.4 L 108.0 2189.4 M 108.0 2194.8 Q 109.1 2194.8, 109.7 2194.3 Q 110.3 2193.7, 110.3 2192.7 Q 110.3 2191.7, 109.7 2191.2 Q 109.1 2190.7, 108.0 2190.7 L 106.2 2190.7 L 106.2 2194.8 L 108.0 2194.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 112.4 2188.6 L 113.5 2188.6 L 113.5 2192.0 L 112.4 2192.0 L 112.4 2188.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 2188.3 L 117.2 2203.8 L 113.8 2203.8 L 113.8 2202.7 L 115.9 2202.7 L 115.9 2189.5 L 113.8 2189.5 L 113.8 2188.3 L 117.2 2188.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 214.5,2115.5 L 222.0,2111.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 222.0,2111.5 L 229.5,2107.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 229.5,2107.5 L 230.2,2087.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 233.7,2104.7 L 234.1,2090.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 243.9,2116.5 L 236.7,2112.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 236.7,2112.0 L 229.5,2107.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 230.2,2087.5 L 247.9,2078.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 247.9,2078.1 L 264.9,2088.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 248.4,2083.1 L 260.3,2090.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 264.9,2088.7 L 272.5,2084.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 272.5,2084.7 L 280.0,2080.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-4\" d=\"M 264.3,2108.7 L 264.9,2088.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 285.3,2080.9 L 292.5,2085.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 292.5,2085.4 L 299.6,2089.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 285.3,2085.7 L 290.3,2088.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 290.3,2088.8 L 295.4,2092.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 217.5 2199.4 L 220.0 2199.4 L 220.0 2191.0 L 217.3 2191.8 L 216.9 2190.9 L 220.4 2189.3 L 221.5 2189.5 L 221.5 2199.4 L 223.7 2199.4 L 223.7 2200.7 L 217.5 2200.7 L 217.5 2199.4 \" fill=\"#000000\"/>\n",
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        "<path d=\"M 229.1 2188.3 L 230.5 2188.3 L 230.5 2203.8 L 229.1 2203.8 L 229.1 2188.3 \" fill=\"#000000\"/>\n",
@@ -5798,40 +5912,43 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 486.8,2111.3 L 467.6,2105.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 467.6,2105.5 L 453.0,2119.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 462.7,2104.6 L 452.5,2114.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 463.8,2089.3 L 465.7,2097.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 465.7,2097.4 L 467.6,2105.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 453.0,2119.2 L 433.8,2113.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 433.8,2113.4 L 419.2,2127.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 428.9,2112.5 L 418.6,2122.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-9 atom-3\" d=\"M 429.2,2093.9 L 433.8,2113.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 419.2,2127.1 L 410.9,2124.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 410.9,2124.6 L 402.7,2122.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 399.2,2118.0 L 397.3,2109.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 397.3,2109.9 L 395.4,2101.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 402.6,2114.6 L 401.2,2109.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 401.2,2109.0 L 399.9,2103.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 395.4,2101.8 L 387.2,2099.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 387.2,2099.3 L 378.9,2096.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 395.4,2101.8 L 401.4,2096.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 401.4,2096.2 L 407.4,2090.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 412.7,2088.9 L 421.0,2091.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 421.0,2091.4 L 429.2,2093.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 414.0,2093.5 L 419.8,2095.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 419.8,2095.2 L 425.6,2097.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 429.2,2093.9 L 443.9,2080.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 443.9,2080.2 L 452.1,2082.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 452.1,2082.7 L 460.4,2085.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 445.2,2084.7 L 451.0,2086.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 451.0,2086.5 L 456.8,2088.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-5\" d=\"M 398.7 2118.5 L 400.6 2121.5 Q 400.8 2121.8, 401.1 2122.3 Q 401.4 2122.8, 401.4 2122.9 L 401.4 2118.5 L 402.2 2118.5 L 402.2 2124.1 L 401.4 2124.1 L 399.4 2120.8 Q 399.2 2120.5, 398.9 2120.0 Q 398.7 2119.6, 398.6 2119.4 L 398.6 2124.1 L 397.9 2124.1 L 397.9 2118.5 L 398.7 2118.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 366.2 2093.1 L 367.0 2093.1 L 367.0 2095.5 L 369.9 2095.5 L 369.9 2093.1 L 370.6 2093.1 L 370.6 2098.8 L 369.9 2098.8 L 369.9 2096.2 L 367.0 2096.2 L 367.0 2098.8 L 366.2 2098.8 L 366.2 2093.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 370.9 2098.6 Q 371.1 2098.3, 371.4 2098.1 Q 371.7 2097.9, 372.2 2097.9 Q 372.7 2097.9, 373.0 2098.2 Q 373.4 2098.5, 373.4 2099.0 Q 373.4 2099.6, 373.0 2100.1 Q 372.5 2100.6, 371.7 2101.2 L 373.4 2101.2 L 373.4 2101.6 L 370.9 2101.6 L 370.9 2101.3 Q 371.6 2100.8, 372.0 2100.4 Q 372.4 2100.1, 372.6 2099.7 Q 372.8 2099.4, 372.8 2099.0 Q 372.8 2098.7, 372.7 2098.5 Q 372.5 2098.3, 372.2 2098.3 Q 371.9 2098.3, 371.7 2098.4 Q 371.5 2098.5, 371.3 2098.8 L 370.9 2098.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 375.0 2093.1 L 376.9 2096.1 Q 377.0 2096.4, 377.3 2097.0 Q 377.6 2097.5, 377.6 2097.5 L 377.6 2093.1 L 378.4 2093.1 L 378.4 2098.8 L 377.6 2098.8 L 375.6 2095.5 Q 375.4 2095.1, 375.1 2094.7 Q 374.9 2094.3, 374.8 2094.1 L 374.8 2098.8 L 374.1 2098.8 L 374.1 2093.1 L 375.0 2093.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 408.8 2085.2 L 410.7 2088.2 Q 410.9 2088.5, 411.1 2089.1 Q 411.4 2089.6, 411.5 2089.6 L 411.5 2085.2 L 412.2 2085.2 L 412.2 2090.9 L 411.4 2090.9 L 409.4 2087.6 Q 409.2 2087.2, 409.0 2086.8 Q 408.7 2086.3, 408.6 2086.2 L 408.6 2090.9 L 407.9 2090.9 L 407.9 2085.2 L 408.8 2085.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 461.8 2083.1 L 463.7 2086.1 Q 463.9 2086.4, 464.1 2087.0 Q 464.4 2087.5, 464.5 2087.5 L 464.5 2083.1 L 465.2 2083.1 L 465.2 2088.8 L 464.4 2088.8 L 462.4 2085.5 Q 462.2 2085.1, 462.0 2084.7 Q 461.7 2084.2, 461.6 2084.1 L 461.6 2088.8 L 460.9 2088.8 L 460.9 2083.1 L 461.8 2083.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 401.4,2127.5 L 403.9,2119.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 403.9,2119.6 L 406.5,2111.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 406.5,2111.8 L 401.1,2105.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 401.1,2105.8 L 395.7,2099.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 407.8,2107.3 L 404.0,2103.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 437.0,2130.3 L 434.5,2138.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-12\" d=\"M 439.5,2122.4 L 426.1,2107.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 399.1 2188.3 L 400.5 2188.3 L 400.5 2203.8 L 399.1 2203.8 L 399.1 2188.3 \" fill=\"#000000\"/>\n",
@@ -5847,39 +5964,30 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 571.2,2130.3 L 573.9,2122.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 573.9,2122.4 L 576.5,2114.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 576.5,2114.6 L 571.2,2108.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 571.2,2108.6 L 565.9,2102.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 577.9,2110.1 L 574.2,2105.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 574.2,2105.9 L 570.5,2101.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 596.1,2110.6 L 576.5,2114.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 564.3,2096.2 L 567.0,2088.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 567.0,2088.4 L 569.6,2080.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 569.6,2080.6 L 578.1,2078.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 578.1,2078.9 L 586.6,2077.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 572.9,2084.0 L 578.9,2082.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 578.9,2082.8 L 584.8,2081.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 591.9,2079.6 L 597.2,2085.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 597.2,2085.6 L 602.5,2091.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 602.5,2091.6 L 622.2,2087.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 606.3,2095.0 L 620.0,2092.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-11 atom-5\" d=\"M 596.1,2110.6 L 602.5,2091.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 622.2,2087.6 L 635.4,2102.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 635.4,2102.7 L 643.9,2100.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 643.9,2100.9 L 652.4,2099.2\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 635.4,2102.7 L 629.1,2121.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 629.1,2121.7 L 609.4,2125.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 609.4,2125.7 L 596.1,2110.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 610.4,2120.7 L 601.1,2110.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 568.9 2130.8 L 570.7 2133.8 Q 570.9 2134.1, 571.2 2134.6 Q 571.5 2135.2, 571.5 2135.2 L 571.5 2130.8 L 572.3 2130.8 L 572.3 2136.5 L 571.5 2136.5 L 569.5 2133.2 Q 569.3 2132.8, 569.0 2132.3 Q 568.8 2131.9, 568.7 2131.8 L 568.7 2136.5 L 568.0 2136.5 L 568.0 2130.8 L 568.9 2130.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 572.9 2130.8 L 573.7 2130.8 L 573.7 2133.2 L 576.6 2133.2 L 576.6 2130.8 L 577.4 2130.8 L 577.4 2136.5 L 576.6 2136.5 L 576.6 2133.8 L 573.7 2133.8 L 573.7 2136.5 L 572.9 2136.5 L 572.9 2130.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 577.7 2136.3 Q 577.8 2135.9, 578.1 2135.7 Q 578.5 2135.5, 578.9 2135.5 Q 579.5 2135.5, 579.8 2135.8 Q 580.1 2136.1, 580.1 2136.7 Q 580.1 2137.2, 579.7 2137.7 Q 579.3 2138.3, 578.4 2138.9 L 580.2 2138.9 L 580.2 2139.3 L 577.6 2139.3 L 577.6 2138.9 Q 578.3 2138.4, 578.8 2138.1 Q 579.2 2137.7, 579.4 2137.4 Q 579.6 2137.0, 579.6 2136.7 Q 579.6 2136.3, 579.4 2136.1 Q 579.2 2135.9, 578.9 2135.9 Q 578.6 2135.9, 578.4 2136.0 Q 578.2 2136.2, 578.1 2136.4 L 577.7 2136.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 562.0 2096.7 L 563.8 2099.7 Q 564.0 2100.0, 564.3 2100.6 Q 564.6 2101.1, 564.6 2101.2 L 564.6 2096.7 L 565.4 2096.7 L 565.4 2102.4 L 564.6 2102.4 L 562.6 2099.1 Q 562.4 2098.7, 562.1 2098.3 Q 561.9 2097.9, 561.8 2097.7 L 561.8 2102.4 L 561.1 2102.4 L 561.1 2096.7 L 562.0 2096.7 \" fill=\"#0000FF\"/>\n",
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-       "<path class=\"atom-8\" d=\"M 652.9 2098.9 Q 652.9 2097.5, 653.5 2096.7 Q 654.2 2096.0, 655.5 2096.0 Q 656.6 2096.0, 657.3 2096.8 L 656.7 2097.2 Q 656.3 2096.6, 655.5 2096.6 Q 654.6 2096.6, 654.2 2097.2 Q 653.7 2097.8, 653.7 2098.9 Q 653.7 2100.0, 654.2 2100.6 Q 654.6 2101.2, 655.6 2101.2 Q 656.2 2101.2, 656.9 2100.8 L 657.1 2101.4 Q 656.8 2101.6, 656.4 2101.7 Q 655.9 2101.8, 655.4 2101.8 Q 654.2 2101.8, 653.5 2101.0 Q 652.9 2100.3, 652.9 2098.9 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-8\" d=\"M 658.0 2095.6 L 658.7 2095.6 L 658.7 2101.7 L 658.0 2101.7 L 658.0 2095.6 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 554.3,2093.8 L 562.4,2097.0\" style=\"fill:none;fill-rule:evenodd;stroke:#CCCC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 562.4,2097.0 L 570.6,2100.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 600.7,2097.5 L 587.6,2092.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 569.1 2188.3 L 570.5 2188.3 L 570.5 2203.8 L 569.1 2203.8 L 569.1 2188.3 \" fill=\"#000000\"/>\n",
@@ -5895,39 +6003,39 @@
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        "<path d=\"M 622.4 2188.6 L 623.5 2188.6 L 623.5 2192.0 L 622.4 2192.0 L 622.4 2188.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 724.6,2094.0 L 732.6,2097.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 732.6,2097.1 L 740.6,2100.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 740.6,2100.2 L 741.9,2108.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 741.9,2108.4 L 743.2,2116.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 745.0,2102.0 L 745.9,2107.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 745.9,2107.8 L 746.8,2113.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 753.6,2089.7 L 747.1,2094.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 747.1,2094.9 L 740.6,2100.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 746.4,2121.0 L 754.4,2124.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 754.4,2124.1 L 762.4,2127.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 762.4,2127.2 L 778.0,2114.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 762.3,2122.2 L 773.2,2113.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 778.0,2114.6 L 796.7,2121.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 774.9,2094.8 L 778.0,2114.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 796.7,2121.8 L 812.3,2109.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 796.6,2116.8 L 807.5,2108.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 812.3,2109.2 L 811.1,2101.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 811.1,2101.0 L 809.8,2092.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 806.6,2088.4 L 798.6,2085.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 798.6,2085.3 L 790.5,2082.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 802.7,2091.2 L 797.1,2089.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 797.1,2089.0 L 791.5,2086.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 790.5,2082.2 L 774.9,2094.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 774.9,2094.8 L 766.9,2091.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 766.9,2091.7 L 758.9,2088.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 771.1,2097.6 L 765.5,2095.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 765.5,2095.4 L 759.9,2093.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 711.9 2090.1 L 712.7 2090.1 L 712.7 2092.5 L 715.6 2092.5 L 715.6 2090.1 L 716.3 2090.1 L 716.3 2095.8 L 715.6 2095.8 L 715.6 2093.2 L 712.7 2093.2 L 712.7 2095.8 L 711.9 2095.8 L 711.9 2090.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 716.6 2095.6 Q 716.7 2095.2, 717.1 2095.0 Q 717.4 2094.8, 717.9 2094.8 Q 718.4 2094.8, 718.7 2095.1 Q 719.1 2095.4, 719.1 2096.0 Q 719.1 2096.5, 718.6 2097.1 Q 718.2 2097.6, 717.4 2098.2 L 719.1 2098.2 L 719.1 2098.6 L 716.6 2098.6 L 716.6 2098.3 Q 717.3 2097.8, 717.7 2097.4 Q 718.1 2097.0, 718.3 2096.7 Q 718.5 2096.4, 718.5 2096.0 Q 718.5 2095.7, 718.3 2095.5 Q 718.2 2095.3, 717.9 2095.3 Q 717.5 2095.3, 717.3 2095.4 Q 717.1 2095.5, 717.0 2095.8 L 716.6 2095.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 720.7 2090.1 L 722.5 2093.1 Q 722.7 2093.4, 723.0 2093.9 Q 723.3 2094.5, 723.3 2094.5 L 723.3 2090.1 L 724.1 2090.1 L 724.1 2095.8 L 723.3 2095.8 L 721.3 2092.5 Q 721.1 2092.1, 720.8 2091.7 Q 720.6 2091.2, 720.5 2091.1 L 720.5 2095.8 L 719.8 2095.8 L 719.8 2090.1 L 720.7 2090.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 742.5 2117.1 L 744.3 2120.1 Q 744.5 2120.4, 744.8 2121.0 Q 745.1 2121.5, 745.1 2121.5 L 745.1 2117.1 L 745.9 2117.1 L 745.9 2122.8 L 745.1 2122.8 L 743.1 2119.5 Q 742.9 2119.1, 742.6 2118.7 Q 742.4 2118.3, 742.3 2118.1 L 742.3 2122.8 L 741.6 2122.8 L 741.6 2117.1 L 742.5 2117.1 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 808.0 2086.6 L 809.9 2089.6 Q 810.0 2089.9, 810.3 2090.4 Q 810.6 2091.0, 810.6 2091.0 L 810.6 2086.6 L 811.4 2086.6 L 811.4 2092.3 L 810.6 2092.3 L 808.6 2089.0 Q 808.4 2088.6, 808.1 2088.2 Q 807.9 2087.7, 807.8 2087.6 L 807.8 2092.3 L 807.1 2092.3 L 807.1 2086.6 L 808.0 2086.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 755.0 2084.7 L 756.8 2087.7 Q 757.0 2088.0, 757.3 2088.6 Q 757.6 2089.1, 757.6 2089.1 L 757.6 2084.7 L 758.4 2084.7 L 758.4 2090.4 L 757.6 2090.4 L 755.6 2087.1 Q 755.4 2086.7, 755.1 2086.3 Q 754.9 2085.9, 754.8 2085.7 L 754.8 2090.4 L 754.1 2090.4 L 754.1 2084.7 L 755.0 2084.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 773.5,2135.5 L 773.5,2127.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 773.5,2127.2 L 773.5,2118.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 769.5,2135.5 L 769.5,2127.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 769.5,2127.2 L 769.5,2118.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 771.5,2118.8 L 789.6,2110.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-15 atom-1\" d=\"M 753.5,2110.1 L 771.5,2118.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 789.6,2110.1 L 804.3,2123.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-16 atom-7 atom-2\" d=\"M 794.1,2090.6 L 789.6,2110.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 820.2,2114.0 L 823.3,2100.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 827.9,2098.3 L 813.2,2084.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 715.2,2098.3 L 719.6,2117.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 719.7,2100.3 L 722.9,2114.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 719.6,2117.8 L 738.8,2123.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 738.8,2123.8 L 753.5,2110.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 738.3,2118.8 L 748.5,2109.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 768.9 2138.9 Q 768.9 2137.5, 769.6 2136.8 Q 770.3 2136.0, 771.5 2136.0 Q 772.8 2136.0, 773.5 2136.8 Q 774.1 2137.5, 774.1 2138.9 Q 774.1 2140.3, 773.5 2141.0 Q 772.8 2141.8, 771.5 2141.8 Q 770.3 2141.8, 769.6 2141.0 Q 768.9 2140.3, 768.9 2138.9 M 771.5 2141.2 Q 772.4 2141.2, 772.9 2140.6 Q 773.3 2140.0, 773.3 2138.9 Q 773.3 2137.8, 772.9 2137.2 Q 772.4 2136.6, 771.5 2136.6 Q 770.7 2136.6, 770.2 2137.2 Q 769.7 2137.8, 769.7 2138.9 Q 769.7 2140.0, 770.2 2140.6 Q 770.7 2141.2, 771.5 2141.2 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-11\" d=\"M 728.6 2081.8 L 730.5 2084.8 Q 730.6 2085.1, 730.9 2085.7 Q 731.2 2086.2, 731.3 2086.2 L 731.3 2081.8 L 732.0 2081.8 L 732.0 2087.5 L 731.2 2087.5 L 729.2 2084.2 Q 729.0 2083.8, 728.7 2083.4 Q 728.5 2083.0, 728.4 2082.8 L 728.4 2087.5 L 727.7 2087.5 L 727.7 2081.8 L 728.6 2081.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 727.5 2199.4 L 730.0 2199.4 L 730.0 2191.0 L 727.3 2191.8 L 726.9 2190.9 L 730.4 2189.3 L 731.5 2189.5 L 731.5 2199.4 L 733.7 2199.4 L 733.7 2200.7 L 727.5 2200.7 L 727.5 2199.4 \" fill=\"#000000\"/>\n",
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        "<path d=\"M 739.1 2188.3 L 740.5 2188.3 L 740.5 2203.8 L 739.1 2203.8 L 739.1 2188.3 \" fill=\"#000000\"/>\n",
@@ -5943,30 +6051,33 @@
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        "<path d=\"M 792.4 2188.6 L 793.5 2188.6 L 793.5 2192.0 L 792.4 2192.0 L 792.4 2188.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 918.8,2075.1 L 920.7,2083.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 920.7,2083.1 L 922.5,2091.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 922.5,2091.1 L 907.8,2104.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 923.0,2096.1 L 912.7,2105.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 941.7,2097.1 L 922.5,2091.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 907.8,2104.8 L 912.3,2124.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 912.3,2124.3 L 931.4,2130.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 916.3,2121.4 L 929.7,2125.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 931.4,2130.2 L 946.1,2116.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 946.1,2116.6 L 965.3,2122.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 950.2,2113.7 L 963.6,2117.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 941.7,2097.1 L 946.1,2116.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 965.3,2122.5 L 980.0,2108.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 980.0,2108.9 L 975.5,2089.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 975.4,2106.8 L 972.3,2093.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 975.5,2089.3 L 967.3,2086.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 967.3,2086.8 L 959.0,2084.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 953.7,2085.9 L 947.7,2091.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 947.7,2091.5 L 941.7,2097.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 954.6,2090.5 L 950.4,2094.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 950.4,2094.4 L 946.2,2098.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 915.4 2071.6 Q 915.4 2070.3, 916.1 2069.5 Q 916.8 2068.7, 918.0 2068.7 Q 919.3 2068.7, 920.0 2069.5 Q 920.6 2070.3, 920.6 2071.6 Q 920.6 2073.0, 920.0 2073.8 Q 919.3 2074.6, 918.0 2074.6 Q 916.8 2074.6, 916.1 2073.8 Q 915.4 2073.0, 915.4 2071.6 M 918.0 2073.9 Q 918.9 2073.9, 919.4 2073.3 Q 919.8 2072.8, 919.8 2071.6 Q 919.8 2070.5, 919.4 2069.9 Q 918.9 2069.4, 918.0 2069.4 Q 917.2 2069.4, 916.7 2069.9 Q 916.2 2070.5, 916.2 2071.6 Q 916.2 2072.8, 916.7 2073.3 Q 917.2 2073.9, 918.0 2073.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-0\" d=\"M 921.3 2068.8 L 922.1 2068.8 L 922.1 2071.2 L 925.0 2071.2 L 925.0 2068.8 L 925.8 2068.8 L 925.8 2074.5 L 925.0 2074.5 L 925.0 2071.8 L 922.1 2071.8 L 922.1 2074.5 L 921.3 2074.5 L 921.3 2068.8 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-9\" d=\"M 955.1 2080.6 L 957.0 2083.6 Q 957.1 2083.9, 957.4 2084.4 Q 957.7 2085.0, 957.8 2085.0 L 957.8 2080.6 L 958.5 2080.6 L 958.5 2086.3 L 957.7 2086.3 L 955.7 2083.0 Q 955.5 2082.6, 955.2 2082.1 Q 955.0 2081.7, 954.9 2081.6 L 954.9 2086.3 L 954.2 2086.3 L 954.2 2080.6 L 955.1 2080.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 898.0,2091.3 L 904.8,2096.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 904.8,2096.2 L 911.7,2101.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 914.3,2106.3 L 914.4,2114.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 914.4,2114.7 L 914.4,2123.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 933.3,2096.7 L 925.1,2099.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 925.1,2099.4 L 917.0,2102.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 914.4,2123.0 L 933.5,2129.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 918.5,2120.1 L 931.9,2124.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 933.5,2129.1 L 945.2,2112.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 945.2,2112.8 L 965.1,2110.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-4\" d=\"M 933.3,2096.7 L 945.2,2112.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-4\" d=\"M 931.9,2101.5 L 940.2,2112.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 963.5,2111.8 L 968.2,2118.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 968.2,2118.2 L 972.9,2124.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 966.8,2109.4 L 971.5,2115.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 971.5,2115.8 L 976.2,2122.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 965.1,2110.6 L 968.4,2103.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 968.4,2103.1 L 971.7,2095.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 970.7,2088.9 L 966.0,2082.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 941.4,2078.3 L 933.3,2096.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 913.1 2100.1 L 914.9 2103.1 Q 915.1 2103.4, 915.4 2104.0 Q 915.7 2104.5, 915.7 2104.6 L 915.7 2100.1 L 916.5 2100.1 L 916.5 2105.8 L 915.7 2105.8 L 913.7 2102.5 Q 913.5 2102.1, 913.2 2101.7 Q 913.0 2101.3, 912.9 2101.1 L 912.9 2105.8 L 912.2 2105.8 L 912.2 2100.1 L 913.1 2100.1 \" fill=\"#0000FF\"/>\n",
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@@ -5982,30 +6093,28 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1063.0,2095.6 L 1071.1,2093.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1071.1,2093.3 L 1079.2,2090.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1061.9,2091.8 L 1070.0,2089.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1070.0,2089.4 L 1078.0,2087.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1078.6,2089.0 L 1084.5,2094.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1084.5,2094.6 L 1090.4,2100.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1092.6,2106.2 L 1091.5,2114.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1091.5,2114.5 L 1090.4,2122.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-2\" d=\"M 1112.8,2099.3 L 1104.3,2100.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-2\" d=\"M 1104.3,2100.8 L 1095.7,2102.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1090.4,2122.7 L 1108.4,2131.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1094.8,2120.4 L 1107.5,2126.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1108.4,2131.4 L 1122.3,2116.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1122.3,2116.9 L 1142.3,2117.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1125.4,2113.0 L 1139.4,2113.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 1112.8,2099.3 L 1122.3,2116.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1142.3,2117.5 L 1152.9,2100.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1152.9,2100.5 L 1143.4,2082.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1147.9,2099.7 L 1141.3,2087.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1143.4,2082.8 L 1123.3,2082.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1123.3,2082.2 L 1112.8,2099.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1125.2,2086.9 L 1117.8,2098.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1056.7 2094.6 Q 1056.7 2093.3, 1057.4 2092.5 Q 1058.1 2091.7, 1059.3 2091.7 Q 1060.6 2091.7, 1061.3 2092.5 Q 1062.0 2093.3, 1062.0 2094.6 Q 1062.0 2096.0, 1061.3 2096.8 Q 1060.6 2097.6, 1059.3 2097.6 Q 1058.1 2097.6, 1057.4 2096.8 Q 1056.7 2096.0, 1056.7 2094.6 M 1059.3 2096.9 Q 1060.2 2096.9, 1060.7 2096.3 Q 1061.1 2095.8, 1061.1 2094.6 Q 1061.1 2093.5, 1060.7 2092.9 Q 1060.2 2092.4, 1059.3 2092.4 Q 1058.5 2092.4, 1058.0 2092.9 Q 1057.5 2093.5, 1057.5 2094.6 Q 1057.5 2095.8, 1058.0 2096.3 Q 1058.5 2096.9, 1059.3 2096.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 1091.8 2100.0 L 1093.7 2103.0 Q 1093.9 2103.3, 1094.2 2103.9 Q 1094.5 2104.4, 1094.5 2104.4 L 1094.5 2100.0 L 1095.2 2100.0 L 1095.2 2105.7 L 1094.4 2105.7 L 1092.5 2102.4 Q 1092.2 2102.0, 1092.0 2101.6 Q 1091.7 2101.1, 1091.7 2101.0 L 1091.7 2105.7 L 1090.9 2105.7 L 1090.9 2100.0 L 1091.8 2100.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1059.0,2084.7 L 1065.6,2103.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1065.6,2103.6 L 1085.3,2107.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1085.3,2107.4 L 1091.8,2126.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1090.1,2108.9 L 1094.7,2122.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-2\" d=\"M 1098.4,2092.3 L 1085.3,2107.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1091.8,2126.4 L 1111.5,2130.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1111.5,2130.1 L 1124.7,2115.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1110.5,2125.3 L 1119.7,2114.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1124.7,2115.0 L 1133.2,2116.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1133.2,2116.6 L 1141.7,2118.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 1118.1,2096.1 L 1124.7,2115.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1147.0,2115.7 L 1152.2,2109.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1152.2,2109.7 L 1157.5,2103.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1145.5,2111.3 L 1149.2,2107.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1149.2,2107.0 L 1152.9,2102.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1157.5,2103.6 L 1150.9,2084.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1150.9,2084.7 L 1131.2,2080.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1147.2,2088.1 L 1133.4,2085.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1131.2,2080.9 L 1118.1,2096.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1118.1,2096.1 L 1098.4,2092.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1114.4,2099.4 L 1100.6,2096.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-6\" d=\"M 1143.1 2115.9 L 1144.9 2119.0 Q 1145.1 2119.2, 1145.4 2119.8 Q 1145.7 2120.3, 1145.7 2120.4 L 1145.7 2115.9 L 1146.5 2115.9 L 1146.5 2121.6 L 1145.7 2121.6 L 1143.7 2118.3 Q 1143.5 2117.9, 1143.2 2117.5 Q 1143.0 2117.1, 1142.9 2116.9 L 1142.9 2121.6 L 1142.2 2121.6 L 1142.2 2115.9 L 1143.1 2115.9 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1067.5 2199.4 L 1070.0 2199.4 L 1070.0 2191.0 L 1067.3 2191.8 L 1066.9 2190.9 L 1070.4 2189.3 L 1071.5 2189.5 L 1071.5 2199.4 L 1073.7 2199.4 L 1073.7 2200.7 L 1067.5 2200.7 L 1067.5 2199.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.1 2188.3 L 1080.5 2188.3 L 1080.5 2203.8 L 1079.1 2203.8 L 1079.1 2188.3 \" fill=\"#000000\"/>\n",
@@ -6021,25 +6130,31 @@
        "<path d=\"M 1128.0 2189.4 Q 1129.9 2189.4, 1130.9 2190.3 Q 1131.9 2191.1, 1131.9 2192.7 Q 1131.9 2194.3, 1130.9 2195.2 Q 1129.9 2196.1, 1128.0 2196.1 L 1126.2 2196.1 L 1126.2 2200.7 L 1124.6 2200.7 L 1124.6 2189.4 L 1128.0 2189.4 M 1128.0 2194.8 Q 1129.1 2194.8, 1129.7 2194.3 Q 1130.3 2193.7, 1130.3 2192.7 Q 1130.3 2191.7, 1129.7 2191.2 Q 1129.1 2190.7, 1128.0 2190.7 L 1126.2 2190.7 L 1126.2 2194.8 L 1128.0 2194.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.4 2188.6 L 1133.5 2188.6 L 1133.5 2192.0 L 1132.4 2192.0 L 1132.4 2188.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.2 2188.3 L 1137.2 2203.8 L 1133.8 2203.8 L 1133.8 2202.7 L 1135.9 2202.7 L 1135.9 2189.5 L 1133.8 2189.5 L 1133.8 2188.3 L 1137.2 2188.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 56.6,2251.8 L 68.5,2267.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 68.5,2267.9 L 62.4,2287.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 71.4,2272.0 L 67.2,2285.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 88.5,2267.8 L 68.5,2267.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 62.4,2287.0 L 69.3,2291.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 69.3,2291.9 L 76.1,2296.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 81.4,2296.7 L 88.1,2291.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 88.1,2291.8 L 94.9,2286.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 94.9,2286.8 L 114.5,2290.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 98.6,2283.5 L 112.4,2286.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-4\" d=\"M 88.5,2267.8 L 94.9,2286.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 114.5,2290.8 L 127.8,2275.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 127.8,2275.8 L 121.5,2256.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 123.1,2274.2 L 118.6,2260.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 121.5,2256.8 L 101.8,2252.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 101.8,2252.8 L 88.5,2267.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 102.8,2257.7 L 93.5,2268.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-3\" d=\"M 77.5 2295.9 L 79.4 2298.9 Q 79.5 2299.2, 79.8 2299.7 Q 80.1 2300.2, 80.1 2300.3 L 80.1 2295.9 L 80.9 2295.9 L 80.9 2301.5 L 80.1 2301.5 L 78.1 2298.3 Q 77.9 2297.9, 77.6 2297.4 Q 77.4 2297.0, 77.3 2296.9 L 77.3 2301.5 L 76.6 2301.5 L 76.6 2295.9 L 77.5 2295.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-3\" d=\"M 76.5 2302.1 L 77.3 2302.1 L 77.3 2304.5 L 80.2 2304.5 L 80.2 2302.1 L 81.0 2302.1 L 81.0 2307.8 L 80.2 2307.8 L 80.2 2305.2 L 77.3 2305.2 L 77.3 2307.8 L 76.5 2307.8 L 76.5 2302.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 39.0,2254.7 L 41.7,2262.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 41.7,2262.5 L 44.4,2270.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 48.7,2274.2 L 57.0,2275.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 57.0,2275.8 L 65.3,2277.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 80.4,2298.0 L 88.9,2299.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 94.2,2297.1 L 99.4,2291.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 96.4,2288.4 L 100.1,2284.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 104.7,2285.0 L 124.3,2288.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 111.2,2250.9 L 98.1,2266.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 98.1,2266.1 L 78.4,2262.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 94.4,2269.4 L 80.6,2266.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 43.0 2273.6 Q 43.0 2272.3, 43.7 2271.5 Q 44.3 2270.8, 45.6 2270.8 Q 46.9 2270.8, 47.5 2271.5 Q 48.2 2272.3, 48.2 2273.6 Q 48.2 2275.0, 47.5 2275.8 Q 46.8 2276.6, 45.6 2276.6 Q 44.3 2276.6, 43.7 2275.8 Q 43.0 2275.0, 43.0 2273.6 M 45.6 2275.9 Q 46.5 2275.9, 46.9 2275.4 Q 47.4 2274.8, 47.4 2273.6 Q 47.4 2272.5, 46.9 2272.0 Q 46.5 2271.4, 45.6 2271.4 Q 44.7 2271.4, 44.3 2272.0 Q 43.8 2272.5, 43.8 2273.6 Q 43.8 2274.8, 44.3 2275.4 Q 44.7 2275.9, 45.6 2275.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-4\" d=\"M 90.3 2297.3 L 92.1 2300.3 Q 92.3 2300.6, 92.6 2301.2 Q 92.9 2301.7, 92.9 2301.7 L 92.9 2297.3 L 93.7 2297.3 L 93.7 2303.0 L 92.9 2303.0 L 90.9 2299.7 Q 90.7 2299.3, 90.4 2298.9 Q 90.2 2298.4, 90.1 2298.3 L 90.1 2303.0 L 89.4 2303.0 L 89.4 2297.3 L 90.3 2297.3 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 2369.4 L 50.0 2369.4 L 50.0 2361.0 L 47.3 2361.8 L 46.9 2360.9 L 50.4 2359.3 L 51.5 2359.5 L 51.5 2369.4 L 53.7 2369.4 L 53.7 2370.7 L 47.5 2370.7 L 47.5 2369.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 2358.3 L 60.5 2358.3 L 60.5 2373.8 L 59.1 2373.8 L 59.1 2358.3 \" fill=\"#000000\"/>\n",
@@ -6055,51 +6170,27 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 301.9,2298.5 L 287.3,2284.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 302.4,2293.5 L 292.3,2283.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-0\" d=\"M 318.4,2293.6 L 310.1,2296.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-15 atom-0\" d=\"M 310.1,2296.0 L 301.9,2298.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 287.3,2284.7 L 292.0,2265.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 292.0,2265.2 L 286.1,2259.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 286.1,2259.5 L 280.1,2253.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-2 atom-13\" d=\"M 292.0,2265.2 L 300.3,2262.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-2 atom-13\" d=\"M 300.3,2262.7 L 308.6,2260.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-2 atom-13\" d=\"M 295.6,2268.3 L 301.4,2266.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-2 atom-13\" d=\"M 301.4,2266.6 L 307.2,2264.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 274.8,2252.2 L 266.5,2254.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 266.5,2254.6 L 258.2,2257.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 258.2,2257.1 L 253.6,2276.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 253.6,2259.1 L 250.4,2272.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-12 atom-4\" d=\"M 246.4,2245.8 L 252.3,2251.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-16 atom-12 atom-4\" d=\"M 252.3,2251.4 L 258.2,2257.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 253.6,2276.6 L 234.3,2282.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 234.3,2282.3 L 230.8,2289.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 230.8,2289.6 L 227.3,2297.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-10 atom-6\" d=\"M 219.8,2268.5 L 234.3,2282.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-17 atom-10 atom-6\" d=\"M 224.7,2267.6 L 234.9,2277.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 223.0,2300.0 L 214.4,2298.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 214.4,2298.9 L 205.8,2297.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 205.8,2297.7 L 202.2,2278.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 209.2,2294.0 L 206.7,2280.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 202.2,2278.0 L 219.8,2268.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 219.8,2268.5 L 224.5,2249.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 224.5,2249.0 L 232.8,2246.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 232.8,2246.5 L 241.0,2244.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 228.1,2252.1 L 233.9,2250.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 233.9,2250.4 L 239.7,2248.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 313.9,2262.0 L 319.8,2267.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 319.8,2267.7 L 325.8,2273.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 325.8,2273.3 L 323.8,2281.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 323.8,2281.4 L 321.9,2289.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 321.3,2274.8 L 319.9,2280.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-15\" d=\"M 319.9,2280.4 L 318.6,2286.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-3\" d=\"M 276.2 2248.5 L 278.1 2251.6 Q 278.3 2251.9, 278.5 2252.4 Q 278.8 2252.9, 278.9 2253.0 L 278.9 2248.5 L 279.6 2248.5 L 279.6 2254.2 L 278.8 2254.2 L 276.8 2250.9 Q 276.6 2250.6, 276.4 2250.1 Q 276.1 2249.7, 276.0 2249.5 L 276.0 2254.2 L 275.3 2254.2 L 275.3 2248.5 L 276.2 2248.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-3\" d=\"M 275.2 2242.3 L 276.0 2242.3 L 276.0 2244.7 L 278.9 2244.7 L 278.9 2242.3 L 279.7 2242.3 L 279.7 2248.0 L 278.9 2248.0 L 278.9 2245.4 L 276.0 2245.4 L 276.0 2248.0 L 275.2 2248.0 L 275.2 2242.3 \" fill=\"#0000FF\"/>\n",
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-       "<path class=\"atom-12\" d=\"M 242.4 2240.4 L 244.3 2243.4 Q 244.5 2243.7, 244.8 2244.3 Q 245.1 2244.8, 245.1 2244.8 L 245.1 2240.4 L 245.9 2240.4 L 245.9 2246.1 L 245.1 2246.1 L 243.1 2242.8 Q 242.8 2242.4, 242.6 2242.0 Q 242.4 2241.6, 242.3 2241.4 L 242.3 2246.1 L 241.5 2246.1 L 241.5 2240.4 L 242.4 2240.4 \" fill=\"#0000FF\"/>\n",
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@@ -6115,314 +6206,293 @@
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-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 462.3,2266.9 L 462.3,2275.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 462.3,2275.3 L 462.3,2283.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-9 atom-6 atom-2\" d=\"M 427.6,2263.6 L 427.6,2283.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path d=\"M 282.4 2528.6 L 283.5 2528.6 L 283.5 2532.0 L 282.4 2532.0 L 282.4 2528.6 \" fill=\"#000000\"/>\n",
+       "<path d=\"M 287.2 2528.3 L 287.2 2543.8 L 283.8 2543.8 L 283.8 2542.7 L 285.9 2542.7 L 285.9 2529.5 L 283.8 2529.5 L 283.8 2528.3 L 287.2 2528.3 \" fill=\"#000000\"/>\n",
        "</svg>"
       ],
       "text/plain": [
        "<IPython.core.display.SVG object>"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6441,7 +6511,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 79,
    "id": "20f67d3c-4ff1-465d-b1f3-42290c3633b8",
    "metadata": {},
    "outputs": [
@@ -6558,3699 +6628,3675 @@
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        "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"1190.0\" height=\"2550.0\" x=\"0.0\" y=\"0.0\"> </rect>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 132.6,54.9 L 124.6,57.7\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 124.6,57.7 L 116.6,60.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 116.6,60.5 L 113.1,79.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 112.2,62.7 L 109.7,76.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 101.6,47.7 L 116.6,60.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 79.5,73.7 L 71.0,74.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 56.3,59.3 L 66.3,49.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 65.7,44.9 L 83.0,54.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 83.0,54.3 L 101.6,47.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 134.8,54.7 L 126.7,57.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 274.4,2459.2 L 282.6,2461.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 269.8,2453.5 L 275.5,2455.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 275.5,2455.3 L 281.3,2457.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 261.7,2437.1 L 266.1,2456.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 287.9,2460.1 L 293.9,2454.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 293.9,2454.5 L 300.0,2448.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 300.0,2448.9 L 295.5,2429.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 295.4,2446.8 L 292.3,2433.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 295.5,2429.3 L 276.4,2423.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 276.4,2423.4 L 261.7,2437.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 276.9,2428.4 L 266.6,2438.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 236.8 2408.8 L 238.6 2411.8 Q 238.8 2412.1, 239.1 2412.6 Q 239.4 2413.1, 239.4 2413.2 L 239.4 2408.8 L 240.2 2408.8 L 240.2 2414.4 L 239.4 2414.4 L 237.4 2411.2 Q 237.2 2410.8, 236.9 2410.3 Q 236.7 2409.9, 236.6 2409.7 L 236.6 2414.4 L 235.9 2414.4 L 235.9 2408.8 L 236.8 2408.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 240.9 2408.8 L 241.6 2408.8 L 241.6 2411.2 L 244.5 2411.2 L 244.5 2408.8 L 245.3 2408.8 L 245.3 2414.4 L 244.5 2414.4 L 244.5 2411.8 L 241.6 2411.8 L 241.6 2414.4 L 240.9 2414.4 L 240.9 2408.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 245.6 2414.2 Q 245.7 2413.9, 246.1 2413.7 Q 246.4 2413.5, 246.8 2413.5 Q 247.4 2413.5, 247.7 2413.8 Q 248.0 2414.1, 248.0 2414.6 Q 248.0 2415.2, 247.6 2415.7 Q 247.2 2416.2, 246.4 2416.9 L 248.1 2416.9 L 248.1 2417.3 L 245.6 2417.3 L 245.6 2416.9 Q 246.3 2416.4, 246.7 2416.1 Q 247.1 2415.7, 247.3 2415.4 Q 247.5 2415.0, 247.5 2414.7 Q 247.5 2414.3, 247.3 2414.1 Q 247.2 2413.9, 246.8 2413.9 Q 246.5 2413.9, 246.3 2414.0 Q 246.1 2414.2, 246.0 2414.4 L 245.6 2414.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 284.0 2459.7 L 285.9 2462.7 Q 286.1 2463.0, 286.4 2463.5 Q 286.6 2464.1, 286.7 2464.1 L 286.7 2459.7 L 287.4 2459.7 L 287.4 2465.4 L 286.6 2465.4 L 284.6 2462.1 Q 284.4 2461.7, 284.2 2461.2 Q 283.9 2460.8, 283.9 2460.7 L 283.9 2465.4 L 283.1 2465.4 L 283.1 2459.7 L 284.0 2459.7 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 241.0 2539.4 L 243.4 2539.4 L 243.4 2531.0 L 240.7 2531.8 L 240.3 2530.9 L 243.8 2529.3 L 244.9 2529.5 L 244.9 2539.4 L 247.2 2539.4 L 247.2 2540.7 L 241.0 2540.7 L 241.0 2539.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 252.5 2528.3 L 253.9 2528.3 L 253.9 2543.8 L 252.5 2543.8 L 252.5 2528.3 \" fill=\"#000000\"/>\n",
@@ -10262,7 +10308,7 @@
        "<IPython.core.display.SVG object>"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10282,17 +10328,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 80,
    "id": "893349dd-52d7-4685-b2ec-5937d8babf7a",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(3, 7)"
+       "(4, 7)"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 80,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10303,7 +10349,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 81,
    "id": "57ddef19-dd7c-43ba-bd3d-2a12f12550af",
    "metadata": {},
    "outputs": [
@@ -10339,7 +10385,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>343</th>\n",
+       "      <th>421</th>\n",
        "      <td>2</td>\n",
        "      <td>Cc1ccccc1</td>\n",
        "      <td>6</td>\n",
@@ -10349,22 +10395,22 @@
        "      <td>[AP, FP, SE, GA, B1, B2]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2037</th>\n",
-       "      <td>1</td>\n",
-       "      <td>FC(F)(F)c1ccccc1</td>\n",
+       "      <th>1770</th>\n",
+       "      <td>0</td>\n",
+       "      <td>Fc1ccccc1</td>\n",
        "      <td>6</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAQM0lEQVR4nO3dfVBU5R4H8N+yCywIJPIiQZAUYsCUFTfF0SGzsayJbiHeLBKGzBjEhEXl3YBIwAQEX9DRaRQSnFIhLdMgs5tmVLgCpRQgXZIQQ0DQdd1ld8/949y747iHZV/Os2dffp/xH3gOZ7/o17Nnd8/zHB5FUYAQ2+y4DoCsExYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARWCxEBBYLEYHFQkRgsRARAq4DIG2GFYrVnZ2a33/H13fR1Kmmz6M7LJZZU1BUt1Q6Qyh8dMqUu78/VWDu/3Dmng8BwD9cXTMDArhOoR88x0JEYLEQEfhUaAHab93a2ten/tLf0THGy4vDPLrAYlmAXpns+tCQ+svZLi5YLMSCKA8PPHlHCACLhQjBYiEiCJ5jURRVW1srFovJPYQuPDw8srOzeTwetzFsDaliKZXKyMhIiUTS1tZG6CF05O3tXVdX19TU5Ovry20SA9jzeGFTpvg6OnIdRG88iqJI7Hfnzp1r1qzx8fERiUQCTj/Yoo+acXFx1dXVHMYwkkylGlMqhXZ2rnw+11l0QxEwPDzs6ekJAPX19ST2r5eenh6hUMjj8Zqbm7nOYrgvh4bCW1pyenq4DqIrIifveXl5169fX7Ro0auvvkpi/3oJDAwUiUQURSUnJ6tUKq7j2Ar2i9XR0bF7924+n79161bWd26Y7OxsX1/f8+fP19bWcp3FVrBfrLS0tPHx8cTExMcee4z1nRvGxcWlqKgIANLT08fGxriOYxNYLtaxY8dOnjzp7u5eUFDA7p6NFBcXN3fu3IGBgQ8//JDrLDaBzWLJ5fINGzYAQH5+Pn3ybj54PF5FRQWPxystLe3u7uY6jvVj842AysrKzs7OkJCQpKQkLZvFx8ePj4+z+Lh3Ky4ufvDBBxmHIiIiYmNjDxw4kJWVdejQIUIB0P+w9fLy2rVr9913HwCcOHFC+5YODg7kfh2xWKzlofv6+lxcXACgsbGRrV/cNCzu7QbWjljZ2dmjo6NRUVFLlizRvmVNTY1SqWTrce8xY8YMLaN+fn4ZGRkbN24UiUStra3cvnNr5Vipp1gstrOzc3Bw+P3331nZITlSqTQwMBAAdu3axXUWPVjcEYudk/fU1FSVSpWSkhIcHMzKDskRCoX0C8OcnJzh4WGu41gtFop18ODB7777ztvbOycnx/i9mUBMTMzChQuHh4c/+OADrrNYLWOLJZVKs7KyAKCoqIg+ebcIO3bsEAgE27dvv3jxItdZrJOxxdq8eXNvb+8TTzyRkJDASiDTCAsLW7lypUKhSE1N5TqLdTKqWH19faWlpQBQUVFhZ2dhF6MWFRVNmzbt66+/Pn78ONdZrJBRbdiwYYNEIlm+fHlkZCRbgUxm2rRpubm5AJCamiqTybiOY20ML9a5c+c++eQTJyenkpISFgOZ0rvvvhsWFtbd3b1z506us1gbA4ulUqlSU1MpikpPT5/oIxTzJxAI6Gt7CgoKBgYGuI5jVQws1r59+37++ecHHniA/tTZci1evPjFF18cGxvLy8vjOos21H/+8/CFC07t7VwH0ZkBb6qOjY3df//9AFBXV8f2G7Yc6OrqcnR0tLOza2lp4TrLhA4cOAAAb7zxBtdBdGXIEauwsPDq1avz5s1bvnw5yzXnQlBQ0OrVq+lPDigyU0tskN7Funz58rZt2+zs7CorK61msl5+fr6Pj8/3339/+PBhrrNYCb2LJRKJZDJZQkLCU089RSIQJ9zc3PLz8wFg3bp1t2/f5jqONdCvWKdOnfr8889dXV0LCwsJBeLKqlWrwsPDr1y5UlZWxnUWa6BHsRQKhUgkAoDc3Fz65N2aqJ/ci4uL//zzT67jWDw9ilVVVfXLL788/PDDKSkp5AJxaP78+UuXLpVKpZZymYY507VYw8PD77//PgCUl5c7WuBSAjoqLy93dnaura09e/Ys11ksm67F2rhx49DQ0LPPPvvyyy8TDcQtf3//tLQ0iqJSUlJw2rQxdCrWpUuX9uzZo/4AxLplZWUFBASIxeKamhqus1gwnYolEokUCkVSUtKjjz5KOhDnnJ2dN23aBACZmZk4bdpgkxeroaGhsbHR3d3dzD9NY1FsbOyCBQuuXbtmuRdusKtbKv3uxo17/jRr/V83yfwnuVyekZEBAIWFhR4eHmyGNWP0tOk5c+aUlZUlJCTMnDmT60QcOzw4eHhw8J5vThMIGmfPnuhHJilWWVlZV1dXaGhoYmIiCwEtR3h4+IoVK6qrqzMyMurr67mOYxY+mjVrmr29+ku+1g/0tD0Vqp8Ltm7daoNzOzdv3uzm5kafCXCdxSzc7+jof9cfX60z2rUViz57feWVV5577jm2Q1qA6dOnZ2Zmwv9fu3Adx8JMWCz69baDg4Mtr/uzbt26mTNn0u+2cJ2Fe+MqlfyuP9rf5ZtwcdvCwsK8vLzU1NTy8nISKS1FQ0NDdHS0k5OTVCrlOovhojIz+2NiDPvZ8qCgc6OjmifvO2fOnOvmNtFPGXXmJJfLBQKBxU38usedO3eEQiHXKSxAkq+vy11rNs/Q/pc20aWl58+f177OR1NTU3Bw8N69e8lc2moira2tXl5eEy0QIpPJgoKCAKCqqsrEwe7B7aXJxb294S0t1+Ry3X9kwoPNk08+GR8fL5fL09PTGTcYGhrq7OzMyckZHR017H+AOUhJSRkcHOzq6mIcpZf/Cw0NXbVqlYmDWTwtpRsYGHBzcwOAkydPMm5Az1Ndv369fv03G59++ikAeHl5jYyMaI6qf/2vvvrK9NnuYXFHrElm6RQXFwNAaGionGmnYrGYz+c7ODj89ttv+iU1A1KplF6lbffu3YwbxMXFAUB0dLSJgzGytmLJZDL6A43t27czbvD2228DwEsvvaRHTPNAX142e/ZshUKhOdrS0kKfYnZ2dpo+myZrKxZFUQ0NDQDg7u4+ODioOapeevTLL7/UIynX+vr6pkyZAgCnT5/WHFWpVPPnzweA7Oxsk0djxm2xum7f/vfIiEyp1P1HdJqw+vzzzwPAmjVrGEe3bNkCAI888gjj06V5io2NBYBly5YxjtJXYk2fPn10dNTEwSZicRNWdSrWxYsXBQIBn89vb2/XHJXJZPQKkRUVFWzHI+KHH37g8XhCofCPP/7QHJVIJAEBAQCwf/9+k0ebkHUWi6Ko5ORkAFi0aBHj6LFjx7Q8XZoVlUo1Z84cAMjNzWXcgJ5JER4ertTnyE+a1RZreHiYvh7rs88+Y9yAXoU7KSmJvWxE7Nu3DwD8/Pxu3rypOdrb2+vs7Mzj8c6cOWP6bFpYbbEoitq2bRsAPPTQQ3fu3NEcvXTpkr29PZ/Pb21tZS8ey27evEnfZ/Xjjz9m3GDp0qUAsGLFChMHm5Q1F0uhUNDXvJeUlDBuQM83fOaZZ1jKxj76MpiIiAiVSqU5eubMGR6P5+zs3Nvba/ps2llzsSiKOnXqFAC4urr29/drjqpvrHrkyBGW4rHp8uXL9K1Wf/zxR81RpVIZHh4OAIWFhabPNikrLxZFUfS8wrfeeotxlF5zMTAwUCqVGp2NZfTtXuPj4xlHd+3aBQD+/v4SicS0uXRi/cXq7u6mlylj/H+vUCjo+19u2rSJjXisoY+1Li4uf/31l+boyMiIl5cXABw6dMj02XRh/cWiKIq+3mHevHmMZyrffPONln9CTqjrXlRUxLgBvdr7ggULGH8jc2ATxVIvFVlbW8u4QXR0NADExcUZl401O3bsoF/PMj5Bd3R02Nvb41KR7DLw7l8fffQR/W7QrVu3NEd7enro0+Tm5mbj4rFA/ZKivr6ecYMXXngBABITE00cTC/Hz5//1969H0zwJqIZMrBYSqWSXtEvLy+PcQP6BjsTvbA3pbVr12p5E+SLL74AADc3t6tXr5o4mF4s7rZyht+v8Ny5czwez8nJifETN/VbkTU1NYanM5r6bdu2tjbNUblcPmvWLAAoLy83fTa92FCxKIp6/fXXAeC1115jHN2/fz8A+Pj4cHiNAP1B0+rVqxlH6VUhg4KCZDKZiYPpy7aKdeXKFfqqpm+//VZzVKVSzZ07FwBycnKMeRSDHT16VMtH43///ffUqVMB4Pjx46bPpi/bKhZFUfRiw48//jjjdZj0BSqOjo5dXV1GPpC+1BfzVFZWMm7wzjvvAMDixYtNHMwwNles27dv0/fSmWge2JtvvgkAMTExRj6QvugJ3CEhIYyXH164cIHP5wsEgl9//dXEwQxjc8WiKOrgwYMA4O3tfePGDc3Rvr4+FxcXAGhsbDT+sXSkvmD6xIkTjBs8/fTTAECvCmkRbLFY1GTzwOhF4cPCwsbHx1l5uEmtXLkSAKKiohhHtc/6Mk82Wizt88DUE62qq6tZeTjtOjo6tMzhnnTWl3my0WJRk80DO3r0aGlpqcle1R85cmTLli2MQ9pnfZkt2y3WpKc15kD7rC9zZnHFYm2hGG9vb/oWy2lpaePj42ztll0ZGRkSiWTZsmULFy7kOouVY3MForVr1wYHB3d0dFRVVbG4W7Y0NzfX1dUJhUJbXkrOZNgsloODQ2lpKQAUFBRcv36dxT0bj6Io+j6X69evp0/eEVEsr5kWFRW1ZMmSkZGR9957j909G6m6uvqnn37y8/OjVxdHpLG/GF95ebm9vf2ePXvazebO2Ldu3aKnoZaUlNDv1iLS2C9WSEhIUlKSUqmkr/c1B5s2berv74+IiKCXbEAmQGT50Pz8fE9Pz9OnT5vD0vs9PT0VFRU8Hs+abmJt/iZcNdlIVVVVycnJPj4+IpGI25sP1NbWisXi+Ph4+vowCyVTqcaUSqGdnetdy8uaM1LFUiqVkZGREomkra2NxP515+3t7enp2dTURF/RallGFIrU7m7N76/08YmcOtX0eXRH6ljC5/PPnj1LHy0IPYSOPDw8srOzLfRJcJyiLkok/o6OIc7Od3/f2eyPW6SOWIgVf4+Pv9jeHuPllRkQwHUW/Vj22v/IbGGxEBE2d7M4S3RRIqnq71d/6efg8E9PTw7z6AKLZQG6pNJemUz95RMuLlgsxIJXPD3x5B0hACwWIgSLhYjAYiEisFhmTcDjBTk5edvbcx1Eb/iRDiICj1iICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEisFiICCwWIgKLhYjAYiEi/gsIg6UTdoEmIwAAAL16VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAALihuYORkUADSjGxgigXKgwk6aAApZhY2hwwQzcxIDIObgZGBkYmBkZmBkYWBhTWDiZUtgY09g4mdI4GDM4OJkyVBhJGNhZODnY1VvAlkC9xNs2Z6Opw9c2YxiGNsfNk+LS1NFcZmYDiwH4ltD2LPmilpB1MPZO9/6LYMrCYtje0Agm12wNDAShVJ3B5JPZgtBgBKwjDAeilASQAAAPx6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJyNktsOgjAMQN/3Ff0Bl+6G7FFAjTFAoug/+O7/xxYzOryg3Ura7aTrBQUsp+Z4u8MktlEKABd2jBGuDhFVC2xAtd0fOqiHTZVO6v7SDWcwyHtcc3Yz9G06MbADp02ggAgr1DgKiJFACzUYXYSX6zfOUcCJWxkdvoE+Bxe4QA/jPxkWBNJ9gelpGyO68gO5ZtJq85ssn2T5s+w4C7kQkUaSp7lAbrtmNqrn8Kq+a2R4vKyMiBxwMgl2vfSb3SBt9aSFNM+TrqVDnrSUNnjSKMV6UpPX5PkT8tTzRNlPfyjZ6gGr8o2/Tg+14QAAAGR6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxzc9Zw0wSiZMNkEDBUqNEw1jM01THQsTbUM0PQuoZ6plAmmGUAVaRroGcGkjSytDQwAXKN9AxRuRYQZSBxhDBIE4ynWQMAVNwbRBzAKbIAAAAASUVORK5CYII=\" alt=\"Mol\"/></td>\n",
-       "      <td>137</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>47</td>\n",
        "      <td>2</td>\n",
        "      <td>[AP, FP, SE, GA, B1, B2]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2257</th>\n",
-       "      <td>0</td>\n",
-       "      <td>c1ccccc1</td>\n",
+       "      <th>2194</th>\n",
+       "      <td>3</td>\n",
+       "      <td>FC(F)(F)c1ccccc1</td>\n",
        "      <td>6</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>231</td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td>96</td>\n",
        "      <td>2</td>\n",
        "      <td>[AP, FP, SE, GA, B1, B2]</td>\n",
        "    </tr>\n",
@@ -10376,7 +10422,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10396,17 +10442,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 82,
    "id": "1e147744-37c6-4675-a2c5-30eccfaa11c1",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(2286, 7)"
+       "(2780, 7)"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 82,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10417,7 +10463,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 83,
    "id": "91e08efb-30c8-4dbf-b114-fd3f1de206d6",
    "metadata": {},
    "outputs": [
@@ -10453,33 +10499,33 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>225</td>\n",
-       "      <td>Clc1cnc2[nH]ccc2c1</td>\n",
+       "      <th>16</th>\n",
+       "      <td>290</td>\n",
+       "      <td>Clc1cnc2nc[nH]c2c1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAYIUlEQVR4nO3deVRTVx4H8F8SFjGsVlSQRQUUcCmMVYuUUWfQM1ZcGUZbxY4b002kHqdpPdq0dY4Td9TqyOhMB52CgGMrtdYOo2Bdq4KyWBQxIBpQAUHCFkxy549rI0ICIXk3i/4+hz+U3Lz8cvLNe+/ed7mPRwgBhLjGN3cB6PmEwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQE+YJFt6I+rln6mB9++23IpEoKChow4YNCoXCxK+OTIeYUGpqqq2trealAwICMjIy1Gq1KWtApmG6YB04cMDGxgYARCJRVlbWyJEjabzGjBlz8uRJk5WBTMNEwdq1axefz6epor9RqVTJycmenp40XpGRkVeuXDFNMcgETBEsiUQCADweb9u2bR0eampqkkgkLi4uAMDn82NiYqRSqQlKQqwxD9Ynn3wCAAKBYN++fbra1NTUiEQie3t7ALCzs4uLi3vw4AHrwhipr6+vrq5WKpXmLsTMGAZLrVYnJCQAgI2Nzf79+7ttf/v27bi4OHrEdHNzk0gkzc3N7MrjVmtra2ZmZmxsrFAojI6ODgwMvHHjhrmLMidWwVIqlYsXLwYAe3v7r7/+Wv8nFhYWTps2jZ54eXl5JSUlWfK3X6VSZWdnL1261M3NjdbM5/Pd3d0BwN3d/ezZs+Yu0GyYBEuhUMTExACAUCj873//a8AWsrKyQkND6UcVHBycnp7OeZFGKioqEovFQ4YM0YyeBAcHi8ViqVQql8ujoqLol+rAgQPmrtQ8uA9Wa2vrrFmzAMDV1dWYr6xarU5PT9d8cuPHjz9z5gyHdRqmoqIiMTHxV7/6lSZP3t7e8fHxHbq0SqVy+fLltMsiFotfwLE6joPV2NgYGRkJAH369Pnpp5+0tqmurt6+fbueG1QoFElJSf369aMfUkxMTElJCXf16uvhw4fJycmRkZE8Ho/myc3NLTY2Nisrq4vQJCUl0aG7uXPntrS0mLJgs+MyWHV1dWFhYQAwYMCAgoICrW1kMllwcDAA7Ny5U/8ty+VysVjs4OAAALa2tnFxcVVVVRxV3ZWWlpbMzMyYmBg7Ozuap169ekVFRaWnp7e1temzhePHjzs7O9M9rvV2dQ3AWbDu378fEhICAL6+vjdv3tTapry83N/fn56OyGSynr7E3bt34+Li6D5AKBSKRKJHjx4ZXbgWKpXq9OnTcXFxTk5ONE8CgSAyMjI5ObmhoaGnWysoKPDx8QEAPz+/4uJiFgVbIG6CVVlZOWLECAAYNmzYnTt3tLa5fv26t7c3AIwePbq6utrg1youLqY9AwDo27evRCJRKBQGb62DoqIikUg0YMAAzSnU6NGjExMT7927Z8xmKysrX3nlFXoAfT6uX+1+sPut8re6aMBBsMrKyvz8/ABg+PDhlZWVWttcu3aNXr2JiIjgZDdz/vz5iIgI+tkPHTo0PT3dmBPk8vJyiUQydOhQTZ6CgoLEYjGH53ONjY20T2NjY/O3v/2Nq82ydrju8JSbU/rl9xNeEQ6/Nnxd1boWVQshZNntZf3y+3XxRGODVVxc7OXlBQCvvPJKTU2N1jaXL19+6aWXAGDSpElyudzIV2yvw8Xs7OzsHj29pqYmKSkpPDxcc0ru6ekZHx9/+vTpHm1HpVLl5OToOgHQUKvVYrGYvlB8fLxKperRq5ie6K4IciG0OHTjvY1J1UnvVLxjn2c/o3QGYR2svLw8Ohj461//Wtd+6NSpU/Tsdfr06Sx6Ro8fP05KSvLw8NBczL569WrXT2lqakpPT4+KiqKnawDg4uISGxubmZn5+PHjHr16+9GshIQEfZ6yb98+OncoOjq6qampRy9nStkN2ZALs27NUqqfDlCfbTx7reUaYRqsixcv0v3Q1KlTdV17OXbsGO3KvfHGG3p2owzT+WJ2WVlZhzYKhUJz1YXmyd7ePioqKjk5ubGxsUcvV15evn79+uHDh2sOnYMHD96yZYueT8/KynJ1dQWAcePGGXn2xs4b0jf4ufw7bdrPmFkFKycnh/aYZsyY0draqrVNZmZmr169ACAuLs40u/0OF7Pj4+Pr6upoFy8+Pp7uXGnywsPDExMTe9qHMGw0S6uioqJBgwYBgJeXl2XOF/Ir8htSNETXo0yC9d1339H90Pz583UdO7766it6oHn//fdNPO5cWlo6d+5c+tk7Ozu37+KFhIRs2rRJV79VF+NHs7Sqqamh/Q8nJ6ejR48avB1GnK46TSyZqOtR7oOVlpZGTxHefvttXfuhPXv2dJjWZ3qXLl0KDw8XCoW2trb0qkteXl6PtqB1NCs8PDwpKcmA0SytWltb58+fT7f8xRdfcLJNI9Ur63PkOYQQ56vOr914TVczjoOlmV784Ycf6mqzceNGHo/H4/E2b97co41z7siRI3TI24DjFIvRLK1oV5HuX83YVWxVt2bWZ8aWxQqvCIVXhHKVfNi1Yb6Fvrracxms3bt3d7sf0kwW3bFjh/5bZuTzzz8HgFWrVunZvvNoVmBgILejWbqkpqbS89GpU6cyupyglYqoshuyl5Qvcb3qCrkAuSDIE/y25Le3Wm8tLl/My+XdbNU+hsJZsDSJ2bp1q9YGarV65cqVdK/+5Zdf6rlZpqKjowGg24krXI1mGenMmTO0ezFq1KiKigrWL1fUUiSuFA8uHEzzBLkQfC1YXCkuU5TRBhebLvJz+ZElkXRElFITNZcDpHRYTyAQ7N27V2sDtVr9/vvv077YoUOH9HxvrNHrAYWFhVof5XA0iyulpaWBgYE02ZcvX2bxEhWKisT7iaHFoZo8+RT6xN+Jv9KspWe64d4GXi7Pr8hvtWz1rge7/nz3zwFFAWtka4jxwdJMLxYIBMnJyVrbKJXKt956CwB69+59/Phxvd8jW3K5nM/n29vb6+q4vf7665rRrNmzZx86dMgSZrbU1tZOnDgRAIRC4ZEjR7ja7EPlw+Ta5MiSSF4uj+apT36fuNtxp+Wn1aSrE9DshuwYaczQoqGeBZ7jr49fcWfF9ZbrhBDJPcm00mldPLGrYCmVyiVLltD90OHDh7W2USgUc+bMAQBHR8cTJ07o8R5N5OzZswAQGhqqq8H+/fsnTZq0b9++uro6UxbWLYVCsXDhQvpllkgkxmyqqakpJSXlzUtv2ubZ0jw5XnFcULbg2KNjj9Vs98o6g/X48ePY2Fi6H/rhhx+0tmlqapoyZQodJzx//jyzIg2xa9cuAFi0aJG5CzFQYmIi7SotW7asp6NlSqWy/UDJhDUTBHmCyJLI5NpkuYrLa7Vd0BmstLQ0etqha0KwXC7/zW9+AwD9+/fPz89nVqGB4uLiACAxMdHchRguIyODDkRPnjy5vr5en6ecP39++fLldMIt7WyNHz9+X9q+6seGz1MyjM5grVu3TiAQrF27VuujDx8+HDduHAD4+PhY5t850fJ6Ot/B0pw/f75///4AMGLEiPLycl3NysrKJBJJQECAZqCETvvpdsIFOzqDlZKSAgB+fn5au0jFxcXu7u7+/v5dvFszUqlUjo6OAKBrJo8VkUqldDL3gAEDOvwZgUwmS0xMbD9QMnDgQNMPlGilM1hKpZJ+A1JTU7U2uHr1qq5pfWZ348YNAPD29jZ3IdxoaGigfdhevXqlpKTU19cnJydb1EBJZ131Cv/+97/T8Tqr++sleoI4ffp0cxfCmba2tmXLltHTpvbXwufMmXP48GFdE0zMqKtgtbW10b8C+Pbbb01WECdWr14NAGvWrDF3IRxbuXKlm5sbvRZuwLQfU+pqRT9bW9sPPvgAAP7yl7900cwC5efnA8DLL79s7kI4NmTIkLq6unnz5p05c2bFihV9+/Y1d0U6dbNUZFxcnLu7+08//ZSdnW2agjjxvAaLvq+xY8eau5DudROs3r17r1ixAgDWr19vkno4UFtbe/fuXaFQSK8VPk+s6QvT7cHy0aNHdIL2uXPnTHBsNt6JEycAICwszNyFGOj27dtXrlzp/MeSSqWyd+/ePB7v4cOHZimsR7pfNdnZ2fmdd94BgI0bN7JOOSes6WutzT//+c/Q0FC6YF17N2/ebG5u9vHx0SyZZMn0Wo575cqV9GJ7YWEh64KMZ+3B0lW/db0vvYLVt2/fJUuWEEI2bNjAuiDjWdcH0NnVq1cBgC6E0Z6VvS89D5l37tyxs7MTCARmWUVIf21tbfb29nw+n9s/uTaZR48e8Xg8BweHzmPodPDdcuZRdk3fO1N4eXktWLBApVJt3ryZZc6NVVxcrFAo/Pz86LVCq0PniQwfPlxzuUZD157MMvXglicfffSRQCBISUmprGxgV5CRrOx40Ymu9NTW1lZWVjo6Og4ePNgcdfVYD4IVEBCQkLDXxaVo82ZndgUZydqDpat+GrhRo0bR2X+Wr2dVxsYuqqz0TUqC6mpG9RjreQ2W1b2vngXr5Zdh2jRoboYdOxjVY6yCggKwnhORDlQq1c8//8zj8TRrM2k858ECgDVrAAB27oT6eu6rMVJlZeWDBw9cXV3pkl1W58aNG83NzYMGDaKXOtqzrjN3MCBY48bBpEnw6BHs2cOiHqPQr3VISIhmRqV10bVbamtru379Op/Pb79wkoUz5Exw9WoAgG3boLmZ42qMZHXHiw501V9cXNzW1ubv729FYyiGBCsyEsLC4MED+Mc/OK/HKM9rsKzuOAgG37r3ww8BADZtgrY2LqsxkjV+AO09N11CMDhYM2fCyJFw5w78+9/c1mO4lpaWmzdv2tjYBAUFmbsWQ1RXV1dVVTk7O3ceAn2BgsXjgUgEALB+PahUXBZksKKiIpVKFRgYSNcDsjqaIdDOPQ86hvJCBAsA5s2DgAC4dQsOHeKwHsM9r8dBmUxWU1PTp08f6xpDMTxYAgGsWgUA8Ne/AiGcFWQwazxetPc8nbmDMcECgEWLwMcH8vPh2DGu6jGctQfrOZmG9QujgmVrCwkJAADr1nFTjcEIIXR266hRozo/euvWraioqPv375u8Ln0pFIobN24IBILOQ6BWGixjb3nS2Ejc3QkAMe9daqVSKQAMGDBA66OTJ08GgEGDBula3c/s8vLyACAwMLDzQ8OGDQMAy1wLvgvGzsEQCmHrVsjMhLAwozNuqLa2tu+//x50n4ikpqZGRESUl5eHhYV99913pq1OL7qOg83NzaWlpba2tlY3htJ9sBobYfZsSEvr+Psvv4TZs0GlArkcDhyA779/5tFz5+APfwCplLtKAQCgrq4uNzc3IyNjw4YNf/rTnyZPnuzn5ycUCt977z0PDw+pVNrQoGUS4ksvvZSVlTV//vzGxsaZM2d+8cUXHJdlNF3Hu8LCQpVKFRQURG+3YUU6zn/tTKGAb76Bzof4ggL45htQq+HyZcjIgNOn4fp1cHF58mhFBWRkPBnrMoBCoSgrK5NKpVKpVPMPqVTa2NjYubFAIPDx8WloaKiqqpo0aVJmZubAgQM7tKH3/fb39//888+XL19+8+bNrVu3CgQCA+vj2vM05k51Hyx9uLpCSwt88gls397j51ZVgVQKUimUlT35h0BQf+pUH6JtDMPV1XXILwYPHkz/4evra2trS8/Q8/Lyxo4dm5mZOXr06A7P5fF4n376aVBQ0B//+McdO3aUlJSkpaXRO5OZHe15YLA6cnSEd9+FtWth4ULo9IE+oVCATPYkOpqfkhKQyzu27NfP2cbGxtvbe0g7Hh4enp6empvad+bn53f27Nno6OicnJwJEyZ89dVXM2fO7Nxs7ty53t7es2bNOn78eERExNGjR+l9X82ooqKitrbW3d2d3iu0PesNVve9wpoaAkDE4o6/T0ggAKStjSxeTLy8iEJBAgLI6NFEqSSEkNRUAkAuXyYrVpDx48mAAQRA+0/fvmTsWDJvHvn4Y7J3LzlxgpSVEaVS2akQvSgUCro2OI/HE3cu+hclJSV0WbmBAwfm5zNfrb9rmZmZABAZGdnh92q1mu5Q79+/b5bCjKHvHis5GX788ZnflJY+8187O9i8GWbOhN27Yfnyp7/PzYVz5wAAbG3B2xuGDHnmx9//6WnZsww8+7Gzs/vXv/4VGhq6cuXKzz77TCaT7d69m95Vqr2AgIALFy5ER0c3NQkjIjz37wdtezcTKS4uBm0jcLQv4unpqVms1pp0Gz26xxo7lixf/sxPSMgzeyxq+nTi7Eyqqp7usU6dIjk5pKKCmPjuQ/osOaxQKJYubQIgAgEx7/LKMplMJpN1+OV//vMfAJg6dapZSjISZ4dC6vZtIhSSRYueBsuMLly4QJccHj58eOcbrmokJhI+nwCQZcsIy7vA9hhdF+Sjjz4ydyGG4PiP1Hx84OOPITkZ8vK43bAhxo0bd/ny5ZCQkGvXro0ZM+bMmTNam61YAWlp4OAAe/fCtGnw6JGJy9TJis/cjbxWqNWqVeDvDzt3cr5hQ3h5ef3444/Tpk2rqamJjIyka4x39vvfw8mT0L8/ZGXBa6/B7dsmLlM7K53XQHEfLHt72LULWls537CBnJycjhw58t577ykUigULFnz66adam736Kpw/D8HBUFQEr74KFy+atspO6uvrKyoqHBwc2t8WwIp0Hyw+H1xcoPOsTAcHcHEBHg969+7Ys4uMhNhYcHODTgtbmAe9MW5iYiKPxzt5snLRIu1T9QcPhgsX4PXX4d49mDABUlNNXmg7BQUFhJARI0ZYzuWBnjH3SZ5JHT162tlZCUAmTSK1tdrbtLWRZcsIALGxIea7Ywj57LPPAGDp0qVmq8A4L1awCCH5+cTbmwAQf39y/brOZhs3kk2bTFjWL+rq6uhdJ/h8/vjx41NSUsxQBBdeuGARQmQyMno0ASB9+pCcHHNXQwghpLm5OS0tbebMmZq7TvTu3XvLli3mrstwL2KwCCFyOZkxgwAQe3ui48axpqBSqeiNBTXXwvl8fnh4eFJSUkNDg9nK4sILGixCiFJJRCICQHg8IhKZ+sJAUVGRSCTy8PDQnOwGBwdLJJKqqiqT1sHMixssKimJ2NoSABITQ5qbmb9ceXm5RCKhs40pX19fkUhkmfd8NMaLHixCyA8/EBcXAkBefZUwmkZw7x7Zt+8CvTcn5eHhkZCQcOnSJSavZwEwWIQQUlhIfH0JABkyhPz8M2ebbW4m6ekkKorY2pKQkDp6Sh4TE2NRNxZkBIP1RFUVGTOGABA3N3LihFGbUihIZiaZN484ODyZc2ZnR2bNUmdkfN1sgsOtZeARS/grZsvQ2gqLFsHBg2BjAzt2gLs73LoFc+fCoEFP2+Tmwv/+B+++C05OWraQmwv798PBg/DgAQAAnw9hYRATA2++Ce7upnkTFsPcybYsajURiwkAWb+eREURADJlyjMNtm8nAKTi2Tmn164RsZj4+T2dFhscTMRicuuWKWu3LBgsLeioaVQUcXQkAOTgwacPtQ/W3bskMZGEhz/Nk5cXiY8nubnmKduiWMZVYgszYcKTfwQEgI8PfPAB/O53z1xol8th4kQ4fRrUagCAPn0gJgbmz4fXXgPrXP2Ue9axGr0ZbdkCDx8+WStaw8kJamrAzg6ioiA9HaqqYM8eiIjAVD2Fe6xu+PlBQgJs3gwLF8KYMU9/f/Ag+PpqP4VHgHssfaxdCwMHwttvP7N24YgRmKquYLC6JxTCtm2Ql2dxq0RbMgyWXubMgalTYc0a0LbmCNICg6WvnTtBLoddu8xdh5XAYOnLzw9EIrh3z9x1WAkMVg98/DEMHWruIqwEXivUqbQUHj+GDivpyWRw7x6MHAm/TCFG2mGwEBN4KERMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzGBwUJMYLAQExgsxAQGCzHxf6SZZV2crqqwAAAA83pUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAuIOYG4gZGQQYFIM3I5qABpJhZ2BwyQDQzIztEgBkmwe5gAaIZmeEqkBhoerkZGBkYmTKYmJgTmFkymFhYE1jZEtjYM5jYORI4ODOYOBkTOFgSRJjYGDk5WJiZWFlZONjZxJtA7oA7cP2taId0XVt7EOdbEqOD3IUiOxB72/v79mpl8/aDFTGusbu26R6Y/c3Qb/92Oxcwe8l2oQOr1pSB2adlbQ7sn3gcrDdQ8O1+S+1tYDO7Wzn2z000BbOjIxPt697OArPFAFfMNVAXBgmtAAABRHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH1SXW7DMAh+zym4QC1+Y/O4ptU0TU2lrdsdJu1x99egVet2sgYhwuSD8IEnSHnbvX79wE14N00A+M/j7vApiDgdIB3Y7p9fVlhOT9trZDl+rKd3IASiyAl9xD6djodrhGD5BikqxsyApUrzquHgWXoqwwJckGmeLT6zVDon/MVJ4KhUdUOBDSXQGw2ACmtERczVEljFm8gAaFFxg6WhqWF6NVpoo3/PUXLDhZ3VPJE+i9URsmZNLi4u1LKNYN1GtFsCqTRjdApiykI+AvqlSxPhlhUrRs6Id6xliXBryDVOhQmljnjv193Dqi7L2x7XXV9eKvcVaZj0TWhan3eq9anGAeY+Og2rfT4a1voUNMw7Vw2je0qar1snce8SYfdU7hvP8/XGhj/9Ar0Rkjlm6rqNAAAAqHpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nCWOMQ4DMQgEv5IykXwIWGNAV6bJH6JUbqN7wT0++NLOsjs8v1PmMfV9vD5zTp1yO++gDlNtTI5I721XYpUxiihcKtqFvKe1TRbJaDsTYNkv5MhA2zemYFuolsawqN6mpKl9LJYD5n+WSCzh8kUJayRMOZtQV0heYwZoxHqLK5TljGD1OlJheHucP9iSK/tUUR1XAAAAAElFTkSuQmCC\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>14</td>\n",
+       "      <td>18</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>245</td>\n",
-       "      <td>Clc1cnc2nc[nH]c2c1</td>\n",
+       "      <th>17</th>\n",
+       "      <td>291</td>\n",
+       "      <td>O=c1[nH]c2ccc(O)cc2[nH]1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAYKklEQVR4nO3de1hUdf4H8PdwGxBRRBRjwUWEvGGa3Uy8YGGmTWG2VOSDpeasrS65ujrb5Vl+rlazaTpWluRThpopba6Zrhee3Sxc3QxEFFRELoJiykXuwyDD5/fHwREHBpiZ8z1nRr+vxz98zvUDvp3zne855/tVEBE4TmwuchfA3Zl4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCZ4sDgmeLA4JniwOCYkClZKCj791Hzh1at4911kZUlTAicpiYKVnIzVq80XlpbirbeQni5NCZyk+KWQY4IHi2OCB4tjwk2yM1VWQqO5bcm1a5KdnJOadMFqbMRPP922pKFBspNzUpMuWIGBOHbstiWZmRgzRrLzc5LibSyOCR4sjgkeLI4JHiyOCQURSXCa0lI0NSEk5LaFBgMuXsSAAejVS4ISOElJ9Il18CCWL8e33962MCcHb7+NS5ekKYGTlETBOnkS33wDtRplZbcWlpbim29uW8LdMaRrY3l5wc0Ny5dLdkJOTtIFy8MDf/0rkpPx44+SnZOTjaTfChcswMiRUKthMEh5Wk4GkgbL1RU6HfLysGaNlKflZCB1P9bkyYiLwzvvoLBQ4jNzkpKhg3TtWiiVWLZM+jNz0pEhWAEBWLEC33576ymarVuxcSOam6WvhWNFnls6Cxdi9Gh89BEA6PVYtgyvvYaICOzaBUluBHDMMQ9WVhaMRvOFrq747DM0NQGAlxe2bUNEBHJz8dxzGDsWhw+zLopjjm2w9u3D2LF49VV4ecHX97ZVDz2E3/8effrAzQ3R0cjMRFIS7rkHx49j8mRMmeJ87xvq9fpvvvnm6aefXrVqlUajab7LL+3EzI4d5O5OAL32GhmN3dqlvp60WurdmwBycaHYWCosZFegOAwGw3fffffCCy94eXkJv9KePXsCmDJlSlVVldzVyYZVsLZuJTc3AkijsXrf8nLSaEipJIA8PCghga5fZ1Ci3dLT0xMSEvr37y/kycXFJTIyUqfTHThwYMCAAQDCw8PPnz8vd5nyYBKsDRvIxYUA+r//s/0gRUWkVrcex8+PtFrS68Ur0Q45OTmJiYmDBw82feoPHz48MTExPz/ftM2lS5fuv/9+AH379v3pp59krFYu4gdLqyWAFApat06Eo/3yCz32GAEEUHAwJSVRc7MIh7VBSUmJTqeLjIw05SkoKCghISEjI6PD7Wtra1UqFQClUrlt2zaJq5WdyMH6618JIFdX+vxzMQ/7r3/Rffe1xmvs2IaDBw+JefROXb9+PTk5WaVSubq6Cnnq06dPfHx8ampqS0tL5/s2NzcvWrQIgEKhSExM7HL7O4lowWppocWLCSA3N9qyRayj3mI0UkoKhYZSVNS7AB5//PH09HTxT3OTXq/fs2dPbGysh4eHkCdPT0+VSpWSkmIwGKw6VFJSkpubG4AXXnhB7yCXc/bECVZzM82dSwAplfTPf4pyyI7p9aTTfeLn5yd8DMTFxbVt2djPaDSmpaWp1epeNx+XFprkSUlJNTU1Nh92//79wgHHjRt37do1EQuWy5HaI19VfNXJBiIEy2Cg2FgCyNubDklyjaqsrNRoNMLXe3d3d7Va/euvv9p5zOzsbI1Gc88997Rtkmu12itXrohSc1ZW1sCBAwEMHjz47NmzohxTAmU3yj689uErRa+8WPDi8kvLM+pbG5TzL87vn9W/kx3tDVZjI8XEEEC+vvTf/9p5MOuUlJSo1Wqh6dOzZ0+NRmPDh0pRUZFWqx0yZIgpT7/97W81Gk1ubq5VxzEYDHV1dZ1vc/ny5QceeACAn5/fDz/8YG2p0ttfvb/3yd4eJzwm5E6YkT8j5HSIS4bLqiuriHWw6uooOrq1O+D4cXuOZLszZ87ExsYKmejXr59Op7tx40aXe1VUVCQlJUVGRioUCmHfvn37qtXqtLQ0a5vYpt6s1atXd7lxXV1dTEwMAA8Pjy+//NKqE0ms0FDYM7NnWHZYXmOesMRIxhWlKz4t+5SYBquysnLGjGV9+xp/8xs6c8bmw4jj6NGj48ePFyIyZMiQlJSUDvPR0NCQkpKiUqnc3d2Fjb28vGJjY/fs2dOdOLZ16tQpjUYjXN0EcXFx3dmxpaUlMTFR2CUhIcHYzZsSkltSsgQZSKtN63Atq2BdvXp11KhRAB57bImorWe77NmzJzw8XPg3e+SRRw4fPiwsb25uTk1NjY+PF262AHB1dY2Ojk5OTu7y+mWmfW9WcHBwJ71ZlmzatEkI9+9+97uGhgar9pXG6DOjB5waYGktk2CVlpZGREQInw0lJSU2HIGdpqamDRs2BAQECP/qU6ZMiY+P79u3r+kr3sSJE5OSkioqKqw6rNCbFR0d7eLiYm1vliWHDh3q3bs3gLFjx9r/5UN0vid9x54ba2mt+MEqLCwU7maMGDGitLTU2t2lUVdXp9VqfXx8PD09hVaUcNflwoULVh1HxN6sDmVnZ4eEhAAYNGhQTk6O/QcUhd6oJyLvTO/Hzz9uaRuRg3X27NmgoCAADz74YHl5uVX7Sm/Xrl3Ct7xTp05ZtSOj3qwOlZWVCa1DHx+fffv2iXtwq1Q3VydXJKsuqEKzQ41kDDoVNDRnqKWNxQzWiRMn+vXrB2DixImi/35Z0Ol0ANRqdfd3Yd2b1aHGxsaXXnoJgJub28cff8zuRB2fvaVxd9Xu2IJYz0xPZAAZUJ5QZuuzVRdUyhPKquaOn/wRLVjHjx8XWirTpk1zzMZme3PmzAGwYcOGLrcUqzfLZtJ/VTSSMa02LaEkoV9WPyFPLhkukbmRuqu6shtlRLS9cjsy8MblNzrcXZxgHT582MfHB0BMTExjY6MNP4YsxowZA+C/lvttRezNEsXmzZuFxty0adPYXROy9dmJpYmh2aFCnpCB4TnDE0sTCwwFbTczknFq3lRkQH1R/b+6/xUaCg/XHl5csnhbxTYSJVj79u0Tbp7MmjXL2s4eGd24cUNouVdXV3e4wcKFC00PLPTq1evll18+dOhQs1wP5dx05MgRob0xatSo4uJiEY9c0lSiu6obc3aMKU/Bp4MTShJO1J+wtIveqF96aWmvk71Mu4Rlh22v3E72B2vnzp1Cd8uCBQsctiuvQ6dPnxZuzFnaYNWqVTb3ZjGVl5cnXJQDAwOt7R5rr7y8/LPLn43PHa/IUAjh8M/yX1i88EjtkRbq1qfyjZYbZ/VnsxqyKm7c6qOpN9Zfb+7sud7OgrV161bheQ+NDc8Xy23btm0AZs6caWmDyspKa3uzJFNRUTFp0iThHuh3331nwxHadpSMWz8OGfDM9FRdUKVUphhaROgo6ZLFYO3atUtoeaxatUqCOkS3bNkyACtWrJC7EBsZDIbZs2cLNwm0Wm0392pubj5w4MDs2bOFNrHwTfPVN1/dWrG11ljLtGAzFoP17bff+vj4LFy4UMpqRDRlyhQAtv13dxAtLS1arVbo61er1Z03cIWOEuElDsk6SjphMVgrVqwAMHXq1Parampqli9fPn78eEd+1la4q1NUVCR3IfZKSUkRvjw98cQT7d8nEzpK7r33XlOeQkJCNBqN7G8HWQxWVVWVcCfreLsHYpqamoS7+t9//z3j8mx05coVAL6+vo4c/e47duyY8JJZRESE8F+lvLzcrKMkMDAwISFBro6S9jprvGs0Gkvt33Xr1glPEDArzC779+8HMGnSJLkLEU1+fv6wYcMA+Pv7jxs3ztRR0rt371deeSU1NVX2jhIznQXr119/9fLyUigUp0+fNltVX18vdLf85z//YVmejbRardCFLXchYqqpqYmKiurTpw8ApVKpUqkcraOkrS76sRYuXAggPj6+/aqVK1cCiI6OZlOYXeLi4gB8Lu47aA5g8+bNAB5++OHKykq5a+lCF8EqLi728PBwdXXNy8szW1VVVeXr6wvg6NGjzMqz0fDhwwEwfT9MFkuXLgWwcuVKuQvpWhejzQQHB7/00ktGo3Ht2rVmq3r37v3aa68BeP/99zs/iMQMBsP58+fd3NxGjBghdy0iy8rKAiA8u+vouozeuXPnXFxclErl5cuXzVaVlZV5e3srFAprH3hi6pdffgEwYsQIuQuxUSdf64TvhhcvXpSyHtt0PT7WkCFDnnvuOYPBIHwTbMvf33/evHlE9Pe//51F6G3jTP+tO6LT6QYOHLhhwwaz5aWlpdeuXfP19Q0ODpalMKt0a+C1t956S6FQfPrpp+Xl5Warli1b5uHhsWPHjry8PAbl2cLZg3Xy5MmSkhLhLm1bws81evRoU9+VI+tWsEaNGvXkk0/W19d//PHHZquCgoLi4+M9PDy2bMlgUJ4t7oBgARg9erTZcif7ubp5yTx27BgAPz+/9g+gnT9/OSDgV6WSLl0S+Tptg5aWFqGnR657ZHYyGAweHh4uLi61teb3jF988UUAX3zxhSyFWau7Y5COHTt24sSJlZWVGzduNFsVHh4YFRVgMOCDD0SNvE0uXrx4/fr1/v37t70d60TOnj3b1NQUFhZmegXSxLk+sawY3PbNN98E8MEHH+j1erNVb7wBhQJJSfLPEWdqiMhch60sXQf1er3QhyJ00Tk+K4I1derU6dNj7733b8nJ5u3KUaPw1FNoaGgdul1GzvXfuj1L9WdnZxuNxqFDh3p6espRl9WsG4573ryUtDT1e++5C0O0t/X22wDw4YeoqhKpNJvcqcFyup/LumA9+ywiIlBcjK+/Nl/1yCOYPBnV1WjXBpOU0/0DmDl16hTuiGBZ/Yp9cjIBNHRoB0O3HzpEAPXvT3K9d1hTU6NQKJRKZVNTkzwV2KekpARA3759268S3pY+JM3AdmKwemaKWbMQFoZz57Brl/mqKVPw6KO4dg2ffy5G5K0n3FkaMWKEaZQi52LpY4luvnR03333yVCWTawOlqsrliwBgHfe6WBCJWHK5/ffR/tGmASc73pxO0v1FxUVVVdXDxgwwDSKjuOzZS6duXMRGIiTJ3HwoPmqmBhERKCkBF99JUJx1rpTg+WMP5ctwVIq8ac/AcDf/ma+SqHAW29h1iw88ojdpVnPUieQs7AUIKf8uWxrmtXVkb8/AeQ403kYjUZvb28Ajv90ZYfq6+tdXV3d3d3bj7w1Y8YMANu3b5elMNvYOK2ctzcWLQKAd98VL+P2ycvLq6+vHzhwoHCv0OmcPn3aaDQOGzbMNMibyd1yKRT88Y/w8cGBA0hPF7Ee2znjb78tS/XX1NQUFRUplcq2Lw86PtuD5eeHBQsAQKsVrRp7OPtdwk5a7kQ0cuTI9k9oOTK7ZlhduhReXti1C9nZYtVjO6GF67yfWHfIY1g32RWsgADMmQMirF4tVj226+QfQK/Xf/LJJ+TA85gTUXZ2NoCRI0earXLSYNk75UlxMXl4kKsrWTkesciEZ6a9vb07HMRLeETu+eefd9hBLi9cuAAgMDCw/aqHHnoIwI8//ih9Vfawd7Lx4GDMmdM6nbiMTNdB0zjsbc2bN8/X1zclJWXy5MlXr16VvLquWboOGo3GnJwchULR/pPMwYnQHoyLQ24uGhtvW5ifj3//GzNnwt/f/jOYq62tLSgoKCwsLLgpMzNToVBYukUYHR195MgRlUr1888/P/jgg99//72jtfEtXe/Onz/f0NAQEhLifH0o9n/oCTMVjh9Pbd+H+/prAsj+V5ErKyvT09NTUlK0Wq1arY6Ojg4NDe3wNRXhV79kyRJLQ1qWlZVNmDABgI+Pz969e+2tTFTPPPMMgB07dpgt//rrrwHExMTIUpU9xPkGq1Ti6FFs3oy5c208QlUVCgpQWIiCAly/fjUjY3ZBQUFxcXFTR3ezPT09Q0NDBw0aFNpGRkbGggUL1q5de+bMmZ07d5rG/jfx9/dPTU2dO3fu9u3bY2Ji1q9fL4xM4QjupLuEAnGC1a8foqKwfDmeeaaLa19zM4qLUVqKK1dQUHDbH5PgYL+SkkPC3/v06RPaTkhISPu2VERERHh4+IwZMw4cODBhwoS9e/e2f7FTmPc7PDx8xYoVixYtOn/+/Lp16zpslkmpqqqquLjYy8vLNMOUifMGS5xLYVAQlZSQtzfNmdO60HQp3L2b3nuP5s+nxx+nQYPIza11znCzP97eNHIkPfMMLV5MH31k3Lt3b05Ojg0zKF+4cGHo0KEAAgMDOxkURJoR1bvp8OHDAB5++OH2qwIDAwFYOwWQIxAtWES0ciUpFCTM5WYK1v33m2eoTx964AGKjSWNhpKSKDWV8vNJxGHoKioqoqKiAHh7e+/evdvSZsKI6sHBgyZNuirqgOpWW79+PYD58+ebLb927RoAHx8fBxmkzypiBquxkcLDafhwMhhuBWvNGlq6lDZsoP37KTeXxJgzq2vdHHI4Nzc3KuosQEFBdPKkFIV1KC8vb+PGjabZFU1SU1MBREZGylKVncQMFt187H3NGtG+FdpDp9MJ7af58+dbegq+ooKiogignj3J0UZYXrNmDYA//OEPchdiC5HbrVOmIDYWK1fK/+YqgNdff33nzp1eXl6bNm166qmnqqur22/j54eDBzF7NurqMHMmHGnUHGduuUO8xrtJSQn5+FBwsPyfWIJjx44Jj4qbhhzukE5HLi4E0Pz55CDv+AivTvz8889yF2IL8YNFRKtXt7bTHSFYRFRQUCC8mT5gwID2o4ubpKSQlxcB9MQT1G5AdamZRgdx2OFrO8ckWDdu0KhRDhQsIrp+/Xp0dDSA+++f+I9/WNzs2DEKCCCAIiJI3rkHMjMzAQwZMkTOIuwgQrBycjp48r2oiFJTycKMbvJoamp6/fW/BASUurhQJ5PT5OfTsGEE0IABVFBgcTPWvvzySwDPP/+8bBXYR4RgORdTW2rOHIt9HzU1NH06TZtGsgzKf+nSJZ1ON2jQoB49ejjpDFl0FwaLiHbtoh49Wm+cl5V1vE1TE0nctqmsrNy0aVNUVJTpFtPixYttuPfgIO7GYBHRyZOt31vDwujcOTkraWxs3LNnT3x8fI8ePYQ8eXp6qlSqlJSU9u+BOZG7NFhEdPkyjRlDAPn5UbtOb+aMRmNaWlpCQoL/zZv2Li4ukZGRSUlJluYadi53b7CIqLaWnn6aAFIqacsWiU6anZ2dmJgYEhJi6koUJhYsLS2VqAJJ3NXBIqLmZtJoCCCFgjQaMe+Fm8nPv7hy5UphBi9BWFhYYmJibm4uq1PK6m4PliApqfV5nthYkQf3qqig5GSKjqbIyHwhT35+fmq12nEmFmSEB6vVwYPUuzcB9OijdPWqvUerraVt22j69FvPnwUEtLz88rz9+/c72sSCjCjIgd+2k1h2NlQqXLyI0FDs3Ys+fdDQgKAgtB1LoboaFRUYOBAdvpZsNOKHH7BlC3bvRm0tALi6YvJkxMdj5ky0G2D7jiZ3sh1LaSk99BABFBdHKhUBpNHctsH69QRQ+wcD09MpIaH1dpDw54EHSKcT4cPPSfFgmauvpz//mWpqSKUihYLc3ant1GZmwTpzhhITKSzsVp6GD6fERJlf33UEzjTOhDR69Lg1YsDIkTAaMX8+jh5F21cu9Hp88AG++gqZma1LgoMRF4dZs+A8o4SyxYPVGVdXvPcennoKX3yBV1+9tdzdHVotysvh64unn0ZsLKZPx835vzmAB6tL06dj+nRoNIiJQb9+rQvd3KDVwt8fTz4JpVLW+hyVzK/UOYUPP0RDA5Ytu23hvHmIieGpsogHq2uDB0OjQXIy0tLkLsV58GB1y1/+gsGDsWRJB0Pbcx3ibaxu8fTERx9h+nTI/Tq+0+C/p+6aNg3PPovjx+Wuw0nwYFlh/fq77LaMHfil0KKXX0Zd3W1LgoOxYweys+HrK1NNzoPfhOaY4JdCjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjgkeLI4JHiyOCR4sjon/B9Q+Ofd9bIiMAAAA8XpUWHRyZGtpdFBLTCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAuIOYG4gZGQQYFIM3I5qABpJhZ2BwyQDQzIztEgBkmgeDDFViAGIzMGFq5GRgZGJkymJiYE5hZMphYWBNY2TKY2NgT2DkSODgzmDgZEzhYEkSY2Bg5OViYmVhZWTjY2cSbQM6Au2/9rWiHdF1bexDnWxKjg9yFIjsQe9v7+/ZqZfP2gxUxrrG7tukemP3N0G//djsXMHvJdqEDq9aUgdmnZW0O7J94HKw3UPDtfkvtbWAzu1s59s9NNAWzoyMT7evezgKzxQAafDUQbWh2RAAAAUR6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9Ul1uwzAIfs8puEAtfmPzuKbVNE1Npa3bHSbtcffXoFXrdrIGIcLkg/CBJ0h5271+/cBNeDdNAPjP4+7wKYg4HSAd2O6fX1ZYTk/ba2Q5fqyndyAEosgJfcQ+nY6Ha4Rg+QYpKsbMgKVK86rh4Fl6KsMCXJBpni0+s1Q6J/zFSeCoVHVDgQ0l0BsNgAprREXM1RJYxZvIAGhRcYOloalhejVaaKN/z1Fyw4Wd1TyRPovVEbJmTS4uLtSyjWDdRrRblqTSjNEpiCkL+Qjoly5NhFtWrBg5I96xliXCrSHXOBUmlDrivV93D6u6LG97XHd9eancV6Rh0jehaX3eqdanGgeY++g0rPb5aFjrU9Aw71w1jO4pab5uncS9S4TdU7lvPM/XGxv+9AvMXZJELJGm2AAAAKh6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJwljjEOAzEIBL+SMpF8CBZjQFemyR+iVG6je8E9PvjSzrI7PL9T5jFxzPfx+kxMuZ13pa4GNCbXSO9tBzFkjCJQl4p2Ie9pbZNFMtrOpGrZL+SaoW3fmIJtoVoaw6J6GwiJPhbLoeZ/lpq6hMsXJayRMHA2oQ6VvMZMFRHrLa5QljOC4XUEYfX2OH/hZiwG1PFbqAAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAU20lEQVR4nO3de3AT5foH8Cdp2rSFFrEXKIG2luHWg4DUCtIeubUVsYoHLHQGggeVAHKMNyRVLvEGjcI55qiHMSpolaGaOkMtomBUwCIIIqJYqHRaktorVnoJ0Hue3x+bpmlaQpvmzW76ez7TYZjNZvdJ8+3uu+8m7ytCRCDE3cR8F0AGJgoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZigYBEmKFiECQoWYYKCRZjw4mA1NUFBQZcltbVQXMxTNaQrLw7W2bMwcSK0t3cuycmBhQv5K4jY8eJgESGjYBEmJHwX0F/Z2SASWf9/8iSvpRA7Xh+svLzOYJWU8FoKseP1wcrOBh8f6//feQf+9z9eqyEdqI1FmKBgESa8OFiDBsFtt3U2sAAgNBQmTOCvIGJHhIh81+Ci5mbIz4dx42DUKOuSixehvh6mTOG1LAIAXn3EunwZkpPhH//o7Hzfswc2bOC1JtLBi4PFMZvpSlCIvD5YGg1s2gTl5XzXQbry+mDNmgXz5sGTT/JdB+nK6ztIAeA//4EJE+DAAb7r6IXS0tKPPvooJSVFJpONGDGC73IY8vojFgDIZKBWw1NPQVsbAMCZM7BlC9TW8l1WV0ePHl28ePHo0aM3btx4zz33TJ48+YBX/Cm4DL1WRQUC4OXLiIitrXjrrRgdjfPnY1oaAuDgwahUYmkpz0WazeYdO3bExsZyv20/P79FixbNmDEDAMRi8ebNm9va2ngukY0BEixEzM9HkQjnz8dDh/DuuxEAAdDPDx9+GAsLeSivqKhIpVLdfPPNXKSGDx+uUqn++OMPRLRYLFqt1tfXFwBmzZpVUVHBQ33XU1OD772HGzbga6/hmTPWhWYzarV45UrnasXF+M47TjbjlcH6/XecPRvPncO0tC4v9uWXcetW6/9/+QXlcpRIEADFYkxNxePHPVFbe3u7wWBIS0vz6bg3HhcXl5WV1dLS4rDm4cOHuWZWeHj4V1995YnibujYMbz5Zpw5E1UqXL4cAwIwIwMRsbQUAbC8vHPN3FwMD3eyJe8LVkkJymQIgGvX9mplpRIDAqwHsIQEzMtDi4VJYfX19TqdbkLHTSWpVCqXy3/++WcnT7l06VJKSgoA+Pj4qNXq9vZ2JpX1UksLRkXhU091LvnhB/TxQYNh4AeruhrHjUMAnD0bGxv78Cy1GocOtcZr0iTMysLWVrdVdf78eaVSOWjQIC5SMTExGo2mpqamN8+1WCwajYY7vM2ZM6eystJtZfXVsWMoFmNtbZeFCxbgP/85wINVV4dTpiAATpni+PJ7o6EBtVrr0S4srH38+ClarfbatWsu19Pe3p6Xl5eUlCTquBOekJCg1+tb+57Zb7/9dvjw4QAgk8ny8/NdLqlfPvwQZTLHhc89hzNmWIOVno4rVlh/5s4dIMG6ehUTExEAx47F6mrXt9PUhDodLlq039amzszMrKur69NGqqurNRpNZGQkt5GgoCCFQvHbb79df6dNer0+MTGxpKTEyTaTkpIAQCKR8HNa/OADHDnSceGGDThnjjVY27bhO+9Yf9auHQjBam7GefMQACMj0WRywwa5g820adNsyVAqldwlm3OnTp1SKBQBAQHcE8eMGaPRaGqvf/w0Go0ZGRmhoaHc+ps3b3ay8ba2NrVaLRaLAeDee+/t5cm0v2pqUKPB11/H/Hz08elyNYSIixfjypUD81TY1mbtmgoPd3/HQX5+fmpqKncu8/Pzk8vl58+f775ac3OzXq9PSEjg8iEWi5OSkvLy8izXvxDIz89PS0uTSKz3NqZOnarT6a5evXrDkr7++uthw4YBwKhRo77//vt+vTznTp9GhQIDAxEAQ0OxthbDwzEzs3OF4mKUSvGzzwZgsCwWfOQRBMAhQ9DpBVa//Pzzz3K5nGtBi8Xi1NTUH374gXuooqJCrVaHhYVx+RgyZIhSqbx48eL1NmU2m3U63a233mrrEU1LSzMYDH2q548//uBCLJFINBqNk/i6orkZ9XpMSrJey4jFmJSEej22teG+fSiV4ooVuHMnvvQShoXh8uWIA7G74ZlnEAADA9EDLdoLFy6sXLlSKpXaWuLJycn2h5xdu3Y1Xv9a1EmPqAtaW1ttp8X777//sq0juD+qqlCjwVGjrJEKDkaFAs+d67JOYSE+/zwuWYKrVuFnn1n7ZurqcN06rK/vXK2gAF980cmuBB2sbdt2DhlSK5ViH//g+6W6ulqtVt90000SicTPz++Gh5ze94i6IC8vj0tqZGTk8f708J46hQoF+vtbIzVunGNPurv1LliNjdjH66b+02q1ABAbG7d3r/t6nHqtsLCQO/E56VhyoUfUBaWlpXfeeScA+Pr6ajSaPj332rVrO3fuNC1ebM2TRIKLFuGhQ+6tsEc3CtaJEzhjBorF6OeHw4bhli3IXQa748/RiQ8//FAsFotEovfee4/pjq7n2LFjABAfH9/jo/3pEXVBa2urSqXirjAeeOABJxehNuXl5Wq1mrsaVU6ejOHhqFKh0ciowu6cBuv333HQIHzuOaytxdZWNBgwIgKffx4R8fXXUSrFmBhMSkKFAtVq1OnQYMDiYux3B0xubi7Xstm+fXs/N+WyPXv2AEBaWprD8h9//PGuu+7i8iQSiVJSUvLy8jzT55Sbmzt06FAAiIqKOnHiRI/rWCwWg8GwYMEC23k5Pj4+KysLm5o8UKE9p8FavRpnzuyyJDsbAwLQbMaMDOvRtfuPVIpjx2JKCq5caX7ttd27dx89erSsrKyXv/1vvvnG398fAF544QXXX1a/ZWZmAsCzzz7rsPy3334TiUQ37BFlxGg0cn1vUqlUq9XaP9TQ0KDT6SZOnNifq1E3chqs6dO79GogYn09AuDp04iIjY1YXIwGA+p0qFKhXI5JSRgTgyKRLWQnOz6HxDURYmJiEhIS0tLSVCqVTqczGAzFxcX2N0BOnDgxePBgAFjbmzvMLK1evRoA3nrrre4Pffrppw0NDZ4vidPU1KRUKrlf6cKFC+vq6i5cuKBSqbiDGQBERESoVKqysjK+KuQ4DVZ0NHZv4vj74759zp519SoWFOD+/bhjx6+ZmUuWLJk+fTp3I6xHvr6+t9xyS3l5+dmzZ7kroGXLlvF8nx9x3rx5ALDP+SvlT3Z2dlBQEACEhITY7lTOnDkzJyfHhTuVLDj9zHtEBFy61GVJQwM0NcHIkc6eFRgIsbEQGwsAtwJ83LG4paWlrKyspKSkoqKisrKypIPJZDKZTPX19SkpKZcvX77//vvff/99rv+GR0ajEQCio6P5LeN60tPTp06dOnfuXB8fH7PZvGTJkmeeeWby5Ml812XHWepWr8ZZs7os+fhjDAx0b/9HU1PTsWPHbrnlFgCYM2eOkx5Ij7FYLIGBgQDA4ymvN5YsWQIAb7/9Nt+F9MBpsAoLMSAAX3rJ+tGnY8dw1Ch87jksLMTUVPzXv3D7dszJwZMn8dIllyuwWCzx8fEAMG3aNLPZ7PJ23KiqqgoAQkJC+C7kBrjPzn/33Xd8F9IDp6fCcePgq69AqYSXXoJBg0AkAqUSNm+GL76Azz93XDkwEKKjrT9RUdy/NVFRoddvXXEaGxvHjBlTUFCwd+9eruXOO4GfB224OqOiovgupAc3+l5hYiKcPg21tXD1KgwfDtyNs2nTIDcXjEa4eBFMJjCZwGiE2lo4dw7OnbN/dszgwS2trTKZLCYmJiIiYsSIETEdoqKiuL4WqVR69uzZa9euZWdnP/3006xeaF+YTCYQWLD0ev3777+/dOnSZcuWcUtaWlqqqqp8fX1lMhm/tfWod19YHToUOq5mAQDCw2HBAsd1GhrAaASTyZo2o7Hhzz+l58+br1zhGukOq0ul0sjIyOjo6KioqJUrVyqVyldeeeWhhx4KCQnpz+txCwEeCU6fPn3gwIHExETbEpPJZLFYbH+fQuO+b0IHB8OkSTBpUucCgD8BmpqaKioqbNeAtktCo9FYVFRUVFQEAAcPHkxOTjYYDJmZmdu3b3dbSa7ijliCClb3g6jAz9fMv2Lv7+/Pnfscljc2NhqNRqPRaDKZpkyZsm3btqlTp7755ptr1qwZPXo066qcE+B71v0gKsAi7fE2dkNAQMCECRNsHw0IDw+Xy+VZWVkbN27Mzs7mqyqOANtY3WMkwMOqPQGN3bBly5bAwMBPPvmE+2QBj0pLS0FI71lTU1N1dbWvr29ERIRtoQDTb09AwZLJZE8++SQirlu3DvkbwLKmpsZsNg8dOnTIkCF81eDAZDIhYmRkpH07XYBXGPYEFCwAyMjIGD58+PHjx3Nzc/mqQYBvWI/NKYG3sYQVrKCgoE2bNgFARkZGa2srLzUI8A3rftZrbW2trKz08fEZ6fy+LX+EFSwAUCgUsbGxFy5c0Ol0vBQgwLZL93Z6aWlpe3v7yJEjbd/1EBrBBUsikWzduvVvf3tYr19aX89DAQK82up+dhZg+h0ILlgAsGDBgtDQnfn5QzUaHvbuFW0sARbpQIjBAoBt20AkAq0WSks9vWuvaGPREctF8fGQng5NTbBpk6d3LbT3rKWlpbKyUiKR2A+GS0cs123dClIp7N4NP/3kuZ1evny5oaEhODh4qP1Nd16VlpZaLJZRo0bZt9MFeFh1INxgRUfD44+DxQLr1nlupwJ8w3o8OAntsNqdcIMFABs2QEgIHD4M+/d7aI8CfMO6Z72tra28vFwsFgu2EwsEHqybboKNGwEA1q2zjuHOmgDbLt27P8rKytra2mQymZ+fH3913YCggwUAjz0GY8ZAYSHs2uWJ3V2vE+vPP/9cuHBhqeevUb2zrwGEHyw/P9iyBQBg0yZoaGC+u+u1sdavX793796pU6fu99hZuYPXfcSPI/RgAUBaGiQkwKVL8O9/M9l+fX39kSNHtFrtQw89ZDAYAKClpcVhHa1W++CDD/7111/33XffE0884cn7mN7Y7Q7gJVOeHD2Kvr64fr17tlZbW5ufn6/VauVyeWxsrMOXYyUSSUBAQPdRbrjpJLhmzR133OFkUD83amlp8fHx8fHxsR9ta8WKFQDw7rvveqAAlwkuWKdPO36D32DA48fx8GHU6bqM0rV3LxYU9GqbRiPu3//L5s2bU1NTu3+nxd/f/4477li1apVOpzt69OjatWu55cuWLbvS7au5J0+e5A4VoaGhX3zxRT9f7A21trYaDIY9e/bYL5w9ezYACGUyi+sQXLC2bMHZs7ssefBBfPpp1OkQAB9/vHP59Om4Y0fPGykvx7w8VKsxNRXDwxEAExM/sCUpKCgoISFBqVTqdLr8/PymbkP87N69m/uG4/jx43/99VeHR2tqaubPnw8AIpFIqVS6ZeS+PuG+NX7hwgUP77dPvClYY8ZgcDCePGldbgtWSwueOYO7duHjj2NiIg4e7DiwUng4Ll1anJGRodfri4qKejNWbGFh4aRJkwAgICCg+0nHfpalmTNnltuP+spYW1ubr6+vSCQSwlgETnhTsBIS8OWXMS4OuZnYuGDNmYNSqWOSIiNxwQJ88UXMy0NXR5fFxsZGhULBHeTkcnn3kbSPHDnC3b8LCws7ePCgi7vpI67lPmLECM/szmVCDJZMhmvWdP6MHt0ZrGvXMCYG//tfxI5gzZyJABgRgampqFZjXh5WVbmznqysLG5IyAkTJnQfae3SpUt33303d1pUqVQemHzwyJEjADBjxgzWO+onIXY3BAbC+PGdP0FBnQ8FBMAbb8CmTVBZaV3ywQfQ0AAVFbBvH7zwAtx3Hwwb5s5ili9ffurUqYkTJ54/f3769OkOX00LCwv78ssvNRqNWCx+9dVXk5OTuQFFWGhubs7JyXnsscdkMpmwRizqEd/JduT8VMh54AFcscJZ493tzGbz0qVLud9Yj6fFQ4cOcd/NCg8Pd/sAjRcvXly/fr1t8IG4uDj3bp8FrwyW0YhBQRgW5rlgcbKysrhxs2677baioiKHR6urq5OTk8Gtkw86zJsSFxen0+n6M2OZx3hlsBBx61YE8HSwELGgoICb4DkoKOjjjz92eNR+lqW5c+dWudrcE9pItS4QXLAOHsQ33uiyZOdO3LsXv/sOX321c2FzMyqVePiwh6tDRGxoaEhPT+fecoVC0dzc7LDCgQMHuLl3br/99r5Og8PNm2L7mCE3bwrvI9W6QHDB8hZZWVnc5HJxcXHFxcUOj5aVld1111297xzn5k2xzUMGbp03hRcULNf99NNP3MA4wcHBOTk5rm2krq5Oq9VynekA4O/vL5fLz9imj/daFKx+qa+vT0tLg47bO91Pi054eN4UD6NguYFOp+M+9RAfH+9kcl5OW1sbN5M0lyeRSJSUlKTX6z3QuepJFCz3+PHHH7nTWUhIyOeff97jOlVVVfYzSQcHBysUioJefkLD21Cw3Kaurm7RokXQ06ceuJmkuTmCAGDs2LFarVYgY48zQsFyJ/tPPfz9738vKSnR6/XcaOzQu5mkBwwR8jfE2UD1/fffp6enl5WVDR48+MqVKwAQFhb2yCOPrFmzxnYeHPAoWEzU1NQ8+uijo0ePPnz48KpVq5YtW8bdC/r/g4LFUHt7uzAHYfcAChZhQoifxyIDAAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMEHBIkxQsAgTFCzCBAWLMPF/za+0B1b9ZSsAAAEDelRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAG4g5gHiBkYOBg0gzczE5gCmWdgdLEA0IzNMgM0hA0QzMyIxIDIcDGABRkwZuCHcDIwaTIxMCUzMCcwsGUwsrAmsbBlMbOwKbBwJHJwZTJxcCVyMCZzMCSJMrIxMzJxcbCysbByczOJ9QP2McNceCm08kH9mpx2IszJV+UDhCzMw2/TBy/1L1SfuB7F9K7buu5wRCWYf2BZun5j+AMwuCOVzWNg3FcwuV5ByiPuyGKzXvKPIYcPqdHsQu5p9tj3/hjlgtp6D3r6565TB7Lxth/fPVF8MZosBAIaLOehVYdcZAAABUHpUWHRNT0wgcmRraXQgMjAyMS4wOS41AAB4nH2SXW7DIAzH33MKX6DIXxh4bJtqmqam0tbtDnvf/TW7UUuqoUGMDPww+O9MEO19fvv+gUfjeZoA8J+vtQZfgojTGcKBw+nldYHjdX+4rxwvn8v1A4iA2M94f2b318v5vkJwgZ0mVCrUAJMY11rdwVvrRxmOsOOUs2D15USlGtMAFFhgR6lyoZzDI1FkHpAaIf3KrCoSXtXG2QZkdjK22YQjZMkSwf+C5iAnZmm23m1VaQSWG6hYWSIJYX+iDrjq+kgqtWWL7YbabMQ1j0eJicgsHFZiGXCEa9JUkKw4YNKkDklahczcEHPELGo6Uue0zE81Xat8uCxzrzKH9Vqqm/SKaVgvS/TctfcJWFdY3UrXkdxql0t92roq6kbb7DUGok2WGsPjbcQrotvstrnE/P63uz/9AirZnMKQ5GRLAAAAtXpUWHRTTUlMRVMgcmRraXQgMjAyMS4wOS41AAB4nCWOsQ7DMAhEf6VjIjkWHBiwrO7d8gFVJ+/9gnx8cTpxPO50nM/J7+/rMzHn3M59TqyVH9d2aCVlR6Eqhogo40BtTSgSsYeBE3ENOLeSgkUJiTLQVEVKqtCOZmUsBRMsnzfJwEAFpNudtLwuohSQ1QgCtAypHj3zVDtptyRcwcxeckL5X8dObJ4mky4h91cNfXlcrZX9+gFGSDDFGJSd/wAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>15</td>\n",
+       "      <td>19</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>247</td>\n",
+       "      <th>18</th>\n",
+       "      <td>301</td>\n",
        "      <td>Cc1cccc2nc[nH]c(=O)c12</td>\n",
        "      <td>1</td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>16</td>\n",
+       "      <td>20</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -10490,7 +10536,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10518,7 +10564,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 84,
    "id": "b74daf3d-afb1-4941-85e4-d1b631a85d26",
    "metadata": {},
    "outputs": [
@@ -10526,11 +10572,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of molecules: 540\n",
+      "Number of molecules: 629\n",
       "Threshold:  0.6\n",
-      "Number of clusters:  257\n",
-      "# Clusters with only 1 molecule:  176\n",
-      "# Clusters with more than 5 molecules:  20\n",
+      "Number of clusters:  290\n",
+      "# Clusters with only 1 molecule:  195\n",
+      "# Clusters with more than 5 molecules:  26\n",
       "# Clusters with more than 25 molecules:  0\n",
       "# Clusters with more than 100 molecules:  0\n"
      ]
@@ -10542,7 +10588,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 85,
    "id": "ee777b77-a8e3-4af3-8f7f-95e89d7c360e",
    "metadata": {},
    "outputs": [
@@ -10578,33 +10624,33 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>80</td>\n",
-       "      <td>c1ccc2c(c1)OCO2</td>\n",
+       "      <th>6</th>\n",
+       "      <td>64</td>\n",
+       "      <td>Cc1ccc2ncccc2c1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>4</td>\n",
+       "      <td>8</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>96</td>\n",
-       "      <td>COc1cc2nc[nH]c2cc1OC</td>\n",
+       "      <th>7</th>\n",
+       "      <td>68</td>\n",
+       "      <td>Nc1cc2ncccc2cn1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>5</td>\n",
+       "      <td>9</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>128</td>\n",
-       "      <td>Cc1ccc([O-])c([O-])c1</td>\n",
+       "      <th>8</th>\n",
+       "      <td>77</td>\n",
+       "      <td>Nc1ncnc2ccccc12</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>6</td>\n",
+       "      <td>10</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -10615,7 +10661,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10627,7 +10673,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 86,
    "id": "da095ab0-8590-4887-8316-c043dfdfe4df",
    "metadata": {},
    "outputs": [
@@ -10744,25 +10790,27 @@
        "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"1190.0\" height=\"2550.0\" x=\"0.0\" y=\"0.0\"> </rect>\n",
        "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"1190.0\" height=\"2550.0\" x=\"0.0\" y=\"0.0\"> </rect>\n",
        "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"1190.0\" height=\"2550.0\" x=\"0.0\" y=\"0.0\"> </rect>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 53.5,75.3 L 53.5,54.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 57.6,72.2 L 57.6,57.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-5 atom-0\" d=\"M 71.2,85.5 L 53.5,75.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 53.5,54.9 L 71.2,44.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 71.2,44.6 L 88.9,54.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 71.8,49.7 L 84.2,56.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 88.9,54.9 L 88.9,75.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-8 atom-3\" d=\"M 105.2,49.6 L 97.1,52.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-8 atom-3\" d=\"M 97.1,52.2 L 88.9,54.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 88.9,75.3 L 71.2,85.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 84.2,73.3 L 71.8,80.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 88.9,75.3 L 97.1,78.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 97.1,78.0 L 105.2,80.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 110.9,78.2 L 115.6,71.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 115.6,71.6 L 120.4,65.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 120.4,65.1 L 115.6,58.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 115.6,58.6 L 110.9,52.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-6\" d=\"M 105.7 81.6 Q 105.7 80.3, 106.4 79.5 Q 107.1 78.7, 108.4 78.7 Q 109.6 78.7, 110.3 79.5 Q 111.0 80.3, 111.0 81.6 Q 111.0 83.0, 110.3 83.8 Q 109.6 84.6, 108.4 84.6 Q 107.1 84.6, 106.4 83.8 Q 105.7 83.1, 105.7 81.6 M 108.4 84.0 Q 109.2 84.0, 109.7 83.4 Q 110.2 82.8, 110.2 81.6 Q 110.2 80.5, 109.7 79.9 Q 109.2 79.4, 108.4 79.4 Q 107.5 79.4, 107.0 79.9 Q 106.5 80.5, 106.5 81.6 Q 106.5 82.8, 107.0 83.4 Q 107.5 84.0, 108.4 84.0 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-8\" d=\"M 105.7 48.6 Q 105.7 47.2, 106.4 46.4 Q 107.1 45.6, 108.4 45.6 Q 109.6 45.6, 110.3 46.4 Q 111.0 47.2, 111.0 48.6 Q 111.0 50.0, 110.3 50.8 Q 109.6 51.6, 108.4 51.6 Q 107.1 51.6, 106.4 50.8 Q 105.7 50.0, 105.7 48.6 M 108.4 50.9 Q 109.2 50.9, 109.7 50.3 Q 110.2 49.7, 110.2 48.6 Q 110.2 47.4, 109.7 46.9 Q 109.2 46.3, 108.4 46.3 Q 107.5 46.3, 107.0 46.9 Q 106.5 47.4, 106.5 48.6 Q 106.5 49.7, 107.0 50.3 Q 107.5 50.9, 108.4 50.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 29.8,52.1 L 48.9,59.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 48.9,59.5 L 52.1,79.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 53.5,61.9 L 55.7,76.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 64.9,46.6 L 48.9,59.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 52.1,79.8 L 71.3,87.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 71.3,87.2 L 87.3,74.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 71.1,82.0 L 82.3,73.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 87.3,74.3 L 95.5,77.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 95.5,77.4 L 103.7,80.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 84.1,54.0 L 87.3,74.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 109.2,79.5 L 115.8,74.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 115.8,74.1 L 122.4,68.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 108.6,74.7 L 113.2,70.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 113.2,70.9 L 117.9,67.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 122.4,68.8 L 119.3,48.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 119.3,48.5 L 100.1,41.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 114.9,51.2 L 101.5,46.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 100.1,41.1 L 84.1,54.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 84.1,54.0 L 64.9,46.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 79.7,56.7 L 66.3,51.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-5\" d=\"M 105.2 78.8 L 107.1 81.8 Q 107.3 82.2, 107.6 82.7 Q 107.9 83.3, 107.9 83.3 L 107.9 78.8 L 108.6 78.8 L 108.6 84.6 L 107.9 84.6 L 105.8 81.2 Q 105.6 80.8, 105.3 80.4 Q 105.1 79.9, 105.0 79.8 L 105.0 84.6 L 104.2 84.6 L 104.2 78.8 L 105.2 78.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 159.4 L 50.0 159.4 L 50.0 151.0 L 47.3 151.8 L 46.9 150.9 L 50.4 149.3 L 51.5 149.5 L 51.5 159.4 L 53.7 159.4 L 53.7 160.7 L 47.5 160.7 L 47.5 159.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 148.3 L 60.5 148.3 L 60.5 163.8 L 59.1 163.8 L 59.1 148.3 \" fill=\"#000000\"/>\n",
@@ -10778,38 +10826,35 @@
        "<path d=\"M 108.0 149.4 Q 109.9 149.4, 110.9 150.3 Q 111.9 151.1, 111.9 152.7 Q 111.9 154.3, 110.9 155.2 Q 109.9 156.1, 108.0 156.1 L 106.2 156.1 L 106.2 160.7 L 104.6 160.7 L 104.6 149.4 L 108.0 149.4 M 108.0 154.8 Q 109.1 154.8, 109.7 154.3 Q 110.3 153.7, 110.3 152.7 Q 110.3 151.7, 109.7 151.2 Q 109.1 150.7, 108.0 150.7 L 106.2 150.7 L 106.2 154.8 L 108.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 112.4 148.6 L 113.5 148.6 L 113.5 152.0 L 112.4 152.0 L 112.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 148.3 L 117.2 163.8 L 113.8 163.8 L 113.8 162.7 L 115.9 162.7 L 115.9 149.5 L 113.8 149.5 L 113.8 148.3 L 117.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 288.9,106.0 L 288.9,97.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 288.9,97.5 L 288.9,89.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 285.8,83.7 L 278.5,79.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 278.5,79.5 L 271.2,75.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 271.2,75.3 L 253.5,85.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 266.5,73.3 L 254.1,80.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-10 atom-2\" d=\"M 271.2,54.9 L 271.2,75.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 253.5,85.5 L 235.8,75.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 235.8,75.3 L 227.5,78.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 227.5,78.0 L 219.1,80.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-8 atom-4\" d=\"M 235.8,54.9 L 235.8,75.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-8 atom-4\" d=\"M 239.9,57.9 L 239.9,72.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 213.9,78.2 L 209.2,71.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 209.2,71.7 L 204.4,65.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 215.8,73.8 L 212.5,69.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 212.5,69.3 L 209.1,64.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 204.4,65.1 L 209.2,58.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 209.2,58.5 L 213.9,52.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 219.1,49.4 L 227.5,52.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 227.5,52.1 L 235.8,54.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 235.8,54.9 L 253.5,44.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 253.5,44.6 L 271.2,54.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 254.1,49.7 L 266.5,56.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 271.2,54.9 L 278.5,50.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 278.5,50.7 L 285.8,46.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 288.9,41.2 L 288.9,32.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 288.9,32.7 L 288.9,24.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 286.3 85.5 Q 286.3 84.2, 287.0 83.4 Q 287.7 82.6, 288.9 82.6 Q 290.2 82.6, 290.9 83.4 Q 291.6 84.2, 291.6 85.5 Q 291.6 87.0, 290.9 87.8 Q 290.2 88.5, 288.9 88.5 Q 287.7 88.5, 287.0 87.8 Q 286.3 87.0, 286.3 85.5 M 288.9 87.9 Q 289.8 87.9, 290.3 87.3 Q 290.8 86.7, 290.8 85.5 Q 290.8 84.4, 290.3 83.8 Q 289.8 83.3, 288.9 83.3 Q 288.1 83.3, 287.6 83.8 Q 287.1 84.4, 287.1 85.5 Q 287.1 86.7, 287.6 87.3 Q 288.1 87.9, 288.9 87.9 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-5\" d=\"M 215.1 78.7 L 217.0 81.8 Q 217.2 82.1, 217.5 82.6 Q 217.8 83.2, 217.8 83.2 L 217.8 78.7 L 218.6 78.7 L 218.6 84.5 L 217.8 84.5 L 215.8 81.2 Q 215.5 80.8, 215.3 80.3 Q 215.0 79.9, 215.0 79.7 L 215.0 84.5 L 214.2 84.5 L 214.2 78.7 L 215.1 78.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 215.1 45.7 L 217.0 48.7 Q 217.2 49.0, 217.5 49.6 Q 217.8 50.1, 217.8 50.2 L 217.8 45.7 L 218.6 45.7 L 218.6 51.4 L 217.8 51.4 L 215.8 48.1 Q 215.5 47.7, 215.3 47.3 Q 215.0 46.8, 215.0 46.7 L 215.0 51.4 L 214.2 51.4 L 214.2 45.7 L 215.1 45.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-7\" d=\"M 214.1 39.3 L 214.9 39.3 L 214.9 41.8 L 217.9 41.8 L 217.9 39.3 L 218.7 39.3 L 218.7 45.1 L 217.9 45.1 L 217.9 42.4 L 214.9 42.4 L 214.9 45.1 L 214.1 45.1 L 214.1 39.3 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 286.3 44.7 Q 286.3 43.3, 287.0 42.5 Q 287.7 41.7, 288.9 41.7 Q 290.2 41.7, 290.9 42.5 Q 291.6 43.3, 291.6 44.7 Q 291.6 46.1, 290.9 46.9 Q 290.2 47.7, 288.9 47.7 Q 287.7 47.7, 287.0 46.9 Q 286.3 46.1, 286.3 44.7 M 288.9 47.0 Q 289.8 47.0, 290.3 46.4 Q 290.8 45.8, 290.8 44.7 Q 290.8 43.5, 290.3 43.0 Q 289.8 42.4, 288.9 42.4 Q 288.1 42.4, 287.6 42.9 Q 287.1 43.5, 287.1 44.7 Q 287.1 45.8, 287.6 46.4 Q 288.1 47.0, 288.9 47.0 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 202.5,72.9 L 210.7,69.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 210.7,69.8 L 218.9,66.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 218.9,66.6 L 234.9,79.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 223.9,65.3 L 235.1,74.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 221.6,49.7 L 220.2,58.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 220.2,58.1 L 218.9,66.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 234.9,79.5 L 254.1,72.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 254.1,72.1 L 260.7,77.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 260.7,77.4 L 267.4,82.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 258.7,70.5 L 263.3,74.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 263.3,74.2 L 268.0,78.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-8 atom-3\" d=\"M 257.3,51.8 L 254.1,72.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 272.8,83.9 L 281.0,80.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 281.0,80.8 L 289.3,77.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 289.3,77.6 L 292.4,57.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 285.7,73.9 L 287.9,59.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 292.4,57.3 L 276.4,44.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 276.4,44.4 L 257.3,51.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 275.0,49.3 L 261.6,54.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 257.3,51.8 L 241.3,38.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 241.3,38.9 L 233.0,42.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 233.0,42.0 L 224.8,45.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 240.3,43.7 L 234.5,45.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 234.5,45.9 L 228.8,48.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 189.4 71.1 L 190.2 71.1 L 190.2 73.5 L 193.2 73.5 L 193.2 71.1 L 194.0 71.1 L 194.0 76.9 L 193.2 76.9 L 193.2 74.2 L 190.2 74.2 L 190.2 76.9 L 189.4 76.9 L 189.4 71.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 194.3 76.7 Q 194.4 76.3, 194.8 76.1 Q 195.1 75.9, 195.6 75.9 Q 196.1 75.9, 196.5 76.2 Q 196.8 76.5, 196.8 77.1 Q 196.8 77.7, 196.4 78.2 Q 196.0 78.7, 195.1 79.4 L 196.9 79.4 L 196.9 79.8 L 194.3 79.8 L 194.3 79.4 Q 195.0 78.9, 195.4 78.5 Q 195.8 78.2, 196.0 77.8 Q 196.3 77.5, 196.3 77.1 Q 196.3 76.8, 196.1 76.6 Q 195.9 76.4, 195.6 76.4 Q 195.3 76.4, 195.0 76.5 Q 194.8 76.6, 194.7 76.9 L 194.3 76.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 198.5 71.1 L 200.4 74.2 Q 200.6 74.5, 200.9 75.0 Q 201.2 75.6, 201.2 75.6 L 201.2 71.1 L 202.0 71.1 L 202.0 76.9 L 201.2 76.9 L 199.1 73.5 Q 198.9 73.1, 198.6 72.7 Q 198.4 72.2, 198.3 72.1 L 198.3 76.9 L 197.5 76.9 L 197.5 71.1 L 198.5 71.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 268.8 82.1 L 270.7 85.2 Q 270.9 85.5, 271.2 86.0 Q 271.5 86.6, 271.5 86.6 L 271.5 82.1 L 272.3 82.1 L 272.3 87.9 L 271.5 87.9 L 269.5 84.5 Q 269.2 84.1, 269.0 83.7 Q 268.7 83.2, 268.6 83.1 L 268.6 87.9 L 267.9 87.9 L 267.9 82.1 L 268.8 82.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 220.8 43.4 L 222.7 46.4 Q 222.9 46.8, 223.2 47.3 Q 223.5 47.9, 223.5 47.9 L 223.5 43.4 L 224.3 43.4 L 224.3 49.2 L 223.5 49.2 L 221.5 45.8 Q 221.2 45.4, 221.0 45.0 Q 220.7 44.5, 220.6 44.4 L 220.6 49.2 L 219.9 49.2 L 219.9 43.4 L 220.8 43.4 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 217.5 159.4 L 220.0 159.4 L 220.0 151.0 L 217.3 151.8 L 216.9 150.9 L 220.4 149.3 L 221.5 149.5 L 221.5 159.4 L 223.7 159.4 L 223.7 160.7 L 217.5 160.7 L 217.5 159.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 229.1 148.3 L 230.5 148.3 L 230.5 163.8 L 229.1 163.8 L 229.1 148.3 \" fill=\"#000000\"/>\n",
@@ -10825,24 +10870,35 @@
        "<path d=\"M 278.0 149.4 Q 279.9 149.4, 280.9 150.3 Q 281.9 151.1, 281.9 152.7 Q 281.9 154.3, 280.9 155.2 Q 279.9 156.1, 278.0 156.1 L 276.2 156.1 L 276.2 160.7 L 274.6 160.7 L 274.6 149.4 L 278.0 149.4 M 278.0 154.8 Q 279.1 154.8, 279.7 154.3 Q 280.3 153.7, 280.3 152.7 Q 280.3 151.7, 279.7 151.2 Q 279.1 150.7, 278.0 150.7 L 276.2 150.7 L 276.2 154.8 L 278.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 282.4 148.6 L 283.5 148.6 L 283.5 152.0 L 282.4 152.0 L 282.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 287.2 148.3 L 287.2 163.8 L 283.8 163.8 L 283.8 162.7 L 285.9 162.7 L 285.9 149.5 L 283.8 149.5 L 283.8 148.3 L 287.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 382.0,71.1 L 401.9,66.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 401.9,66.4 L 407.8,46.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 406.7,64.7 L 410.9,51.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-1\" d=\"M 415.9,81.3 L 401.9,66.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 407.8,46.9 L 427.7,42.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 427.7,42.2 L 441.7,57.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 426.9,47.2 L 436.7,57.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 441.7,57.1 L 450.1,55.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 450.1,55.2 L 458.5,53.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 441.7,57.1 L 435.8,76.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 435.8,76.7 L 441.2,82.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 441.2,82.4 L 446.6,88.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 435.8,76.7 L 415.9,81.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 431.9,73.4 L 418.0,76.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-5\" d=\"M 459.0 52.5 Q 459.0 51.1, 459.7 50.3 Q 460.4 49.5, 461.6 49.5 Q 462.9 49.5, 463.6 50.3 Q 464.3 51.1, 464.3 52.5 Q 464.3 53.9, 463.6 54.7 Q 462.9 55.5, 461.6 55.5 Q 460.4 55.5, 459.7 54.7 Q 459.0 53.9, 459.0 52.5 M 461.6 54.8 Q 462.5 54.8, 463.0 54.2 Q 463.5 53.6, 463.5 52.5 Q 463.5 51.3, 463.0 50.8 Q 462.5 50.2, 461.6 50.2 Q 460.8 50.2, 460.3 50.8 Q 459.8 51.3, 459.8 52.5 Q 459.8 53.7, 460.3 54.2 Q 460.8 54.8, 461.6 54.8 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-5\" d=\"M 464.6 50.5 L 466.5 50.5 L 466.5 50.9 L 464.6 50.9 L 464.6 50.5 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-7\" d=\"M 447.1 91.6 Q 447.1 90.2, 447.8 89.4 Q 448.5 88.7, 449.8 88.7 Q 451.1 88.7, 451.8 89.4 Q 452.5 90.2, 452.5 91.6 Q 452.5 93.0, 451.8 93.8 Q 451.1 94.6, 449.8 94.6 Q 448.5 94.6, 447.8 93.8 Q 447.1 93.0, 447.1 91.6 M 449.8 94.0 Q 450.7 94.0, 451.2 93.4 Q 451.6 92.8, 451.6 91.6 Q 451.6 90.5, 451.2 89.9 Q 450.7 89.3, 449.8 89.3 Q 448.9 89.3, 448.4 89.9 Q 448.0 90.5, 448.0 91.6 Q 448.0 92.8, 448.4 93.4 Q 448.9 94.0, 449.8 94.0 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-7\" d=\"M 452.7 89.6 L 454.7 89.6 L 454.7 90.0 L 452.7 90.0 L 452.7 89.6 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 397.3,33.6 L 399.2,41.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 399.2,41.9 L 401.1,50.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 401.1,50.2 L 394.9,56.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 394.9,56.0 L 388.7,61.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 402.0,55.0 L 397.7,59.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 397.7,59.0 L 393.4,63.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 420.7,56.3 L 401.1,50.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 386.8,67.6 L 388.7,75.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 388.7,75.9 L 390.6,84.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 390.6,84.2 L 399.0,86.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 399.0,86.9 L 407.5,89.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 394.3,81.1 L 400.3,82.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 400.3,82.9 L 406.2,84.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 412.9,87.8 L 419.1,82.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 419.1,82.1 L 425.3,76.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 425.3,76.3 L 444.9,82.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 429.4,73.3 L 443.2,77.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 420.7,56.3 L 425.3,76.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 444.9,82.4 L 460.0,68.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 460.0,68.4 L 455.4,48.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 455.3,66.3 L 452.1,52.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 455.4,48.4 L 435.8,42.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 435.8,42.3 L 420.7,56.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 436.3,47.4 L 425.8,57.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 395.2 27.3 L 397.1 30.4 Q 397.3 30.7, 397.6 31.2 Q 397.9 31.8, 397.9 31.8 L 397.9 27.3 L 398.7 27.3 L 398.7 33.1 L 397.9 33.1 L 395.9 29.7 Q 395.6 29.3, 395.4 28.9 Q 395.1 28.4, 395.1 28.3 L 395.1 33.1 L 394.3 33.1 L 394.3 27.3 L 395.2 27.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 399.4 27.3 L 400.2 27.3 L 400.2 29.8 L 403.2 29.8 L 403.2 27.3 L 404.0 27.3 L 404.0 33.1 L 403.2 33.1 L 403.2 30.4 L 400.2 30.4 L 400.2 33.1 L 399.4 33.1 L 399.4 27.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 404.3 32.9 Q 404.4 32.5, 404.7 32.3 Q 405.1 32.1, 405.5 32.1 Q 406.1 32.1, 406.4 32.4 Q 406.8 32.8, 406.8 33.3 Q 406.8 33.9, 406.3 34.4 Q 405.9 34.9, 405.1 35.6 L 406.8 35.6 L 406.8 36.0 L 404.2 36.0 L 404.2 35.6 Q 405.0 35.1, 405.4 34.8 Q 405.8 34.4, 406.0 34.0 Q 406.2 33.7, 406.2 33.3 Q 406.2 33.0, 406.0 32.8 Q 405.9 32.6, 405.5 32.6 Q 405.2 32.6, 405.0 32.7 Q 404.8 32.8, 404.7 33.1 L 404.3 32.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-2\" d=\"M 384.7 61.3 L 386.6 64.4 Q 386.8 64.7, 387.1 65.2 Q 387.4 65.8, 387.4 65.8 L 387.4 61.3 L 388.2 61.3 L 388.2 67.1 L 387.4 67.1 L 385.4 63.7 Q 385.1 63.3, 384.9 62.9 Q 384.6 62.4, 384.6 62.3 L 384.6 67.1 L 383.8 67.1 L 383.8 61.3 L 384.7 61.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 408.9 87.4 L 410.8 90.5 Q 411.0 90.8, 411.3 91.3 Q 411.6 91.9, 411.7 91.9 L 411.7 87.4 L 412.4 87.4 L 412.4 93.2 L 411.6 93.2 L 409.6 89.8 Q 409.3 89.4, 409.1 89.0 Q 408.8 88.5, 408.8 88.4 L 408.8 93.2 L 408.0 93.2 L 408.0 87.4 L 408.9 87.4 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 387.5 159.4 L 390.0 159.4 L 390.0 151.0 L 387.3 151.8 L 386.9 150.9 L 390.4 149.3 L 391.5 149.5 L 391.5 159.4 L 393.7 159.4 L 393.7 160.7 L 387.5 160.7 L 387.5 159.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 399.1 148.3 L 400.5 148.3 L 400.5 163.8 L 399.1 163.8 L 399.1 148.3 \" fill=\"#000000\"/>\n",
@@ -10858,652 +10914,760 @@
        "<path d=\"M 448.0 149.4 Q 449.9 149.4, 450.9 150.3 Q 451.9 151.1, 451.9 152.7 Q 451.9 154.3, 450.9 155.2 Q 449.9 156.1, 448.0 156.1 L 446.2 156.1 L 446.2 160.7 L 444.6 160.7 L 444.6 149.4 L 448.0 149.4 M 448.0 154.8 Q 449.1 154.8, 449.7 154.3 Q 450.3 153.7, 450.3 152.7 Q 450.3 151.7, 449.7 151.2 Q 449.1 150.7, 448.0 150.7 L 446.2 150.7 L 446.2 154.8 L 448.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 452.4 148.6 L 453.5 148.6 L 453.5 152.0 L 452.4 152.0 L 452.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 457.2 148.3 L 457.2 163.8 L 453.8 163.8 L 453.8 162.7 L 455.9 162.7 L 455.9 149.5 L 453.8 149.5 L 453.8 148.3 L 457.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 544.2,55.4 L 549.9,61.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 549.9,61.0 L 555.5,66.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 561.9,69.0 L 570.1,66.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 570.1,66.7 L 578.4,64.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 578.4,64.5 L 583.7,44.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 583.2,62.6 L 586.9,48.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-2\" d=\"M 592.9,79.0 L 578.4,64.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 583.7,44.8 L 603.5,39.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 603.5,39.5 L 617.9,53.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 602.7,44.5 L 612.9,54.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 617.9,53.9 L 626.2,51.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 626.2,51.7 L 634.5,49.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 617.9,53.9 L 612.6,73.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 612.6,73.7 L 618.7,79.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 618.7,79.8 L 624.8,85.9\" style=\"fill:none;fill-rule:evenodd;stroke:#33CCCC;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 612.6,73.7 L 592.9,79.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 608.6,70.5 L 594.8,74.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 592.9,79.0 L 590.7,87.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 590.7,87.1 L 588.5,95.3\" style=\"fill:none;fill-rule:evenodd;stroke:#33CCCC;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 1066.3 491.5 Q 1066.7 490.5, 1067.7 489.9 Q 1068.7 489.3, 1070.1 489.3 Q 1071.8 489.3, 1072.7 490.2 Q 1073.7 491.1, 1073.7 492.8 Q 1073.7 494.4, 1072.5 496.0 Q 1071.2 497.6, 1068.7 499.4 L 1073.9 499.4 L 1073.9 500.7 L 1066.3 500.7 L 1066.3 499.6 Q 1068.4 498.1, 1069.6 497.0 Q 1070.9 495.9, 1071.5 494.9 Q 1072.1 493.9, 1072.1 492.8 Q 1072.1 491.8, 1071.6 491.2 Q 1071.0 490.5, 1070.1 490.5 Q 1069.2 490.5, 1068.5 490.9 Q 1067.9 491.3, 1067.5 492.1 L 1066.3 491.5 \" fill=\"#000000\"/>\n",
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@@ -11519,150 +11683,135 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 45.6,571.6 L 51.2,577.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 582.3,577.2 L 588.4,557.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 608.5,553.0 L 622.4,568.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 607.5,558.1 L 617.3,568.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 622.4,568.1 L 616.3,587.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 616.3,587.8 L 596.3,592.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 612.4,584.4 L 598.4,587.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"atom-0\" d=\"M 542.9 569.3 Q 543.0 568.9, 543.3 568.7 Q 543.7 568.5, 544.1 568.5 Q 544.7 568.5, 545.0 568.8 Q 545.4 569.2, 545.4 569.7 Q 545.4 570.3, 544.9 570.8 Q 544.5 571.3, 543.7 572.0 L 545.4 572.0 L 545.4 572.4 L 542.8 572.4 L 542.8 572.0 Q 543.6 571.5, 544.0 571.2 Q 544.4 570.8, 544.6 570.4 Q 544.8 570.1, 544.8 569.7 Q 544.8 569.4, 544.6 569.2 Q 544.5 569.0, 544.1 569.0 Q 543.8 569.0, 543.6 569.1 Q 543.4 569.2, 543.3 569.5 L 542.9 569.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-0\" d=\"M 547.0 563.7 L 548.9 566.8 Q 549.1 567.1, 549.4 567.6 Q 549.7 568.2, 549.8 568.2 L 549.8 563.7 L 550.5 563.7 L 550.5 569.5 L 549.7 569.5 L 547.7 566.1 Q 547.5 565.7, 547.2 565.3 Q 546.9 564.8, 546.9 564.7 L 546.9 569.5 L 546.1 569.5 L 546.1 563.7 L 547.0 563.7 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 557.3 661.5 Q 557.7 660.5, 558.7 659.9 Q 559.7 659.3, 561.1 659.3 Q 562.8 659.3, 563.7 660.2 Q 564.7 661.1, 564.7 662.8 Q 564.7 664.4, 563.4 666.0 Q 562.2 667.6, 559.7 669.4 L 564.9 669.4 L 564.9 670.7 L 557.3 670.7 L 557.3 669.6 Q 559.4 668.1, 560.6 667.0 Q 561.9 665.9, 562.5 664.9 Q 563.1 663.9, 563.1 662.8 Q 563.1 661.8, 562.6 661.2 Q 562.0 660.5, 561.1 660.5 Q 560.2 660.5, 559.5 660.9 Q 558.9 661.3, 558.5 662.1 L 557.3 661.5 \" fill=\"#000000\"/>\n",
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        "<path d=\"M 570.2 658.3 L 571.6 658.3 L 571.6 673.8 L 570.2 673.8 L 570.2 658.3 \" fill=\"#000000\"/>\n",
@@ -11678,36 +11827,31 @@
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        "<path d=\"M 621.6 658.6 L 622.7 658.6 L 622.7 662.0 L 621.6 662.0 L 621.6 658.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 761.7,552.7 L 759.0,560.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 759.0,560.6 L 756.3,568.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 765.6,554.0 L 762.9,561.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 762.9,561.9 L 760.2,569.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 758.2,569.2 L 763.6,575.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 763.6,575.3 L 769.0,581.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-1 atom-9\" d=\"M 758.2,569.2 L 738.2,573.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 774.4,584.1 L 783.0,582.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 783.0,582.4 L 791.7,580.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 791.7,580.6 L 805.2,596.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 796.8,580.3 L 806.2,591.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-8 atom-3\" d=\"M 798.3,561.3 L 791.7,580.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 805.2,596.0 L 825.2,592.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 825.2,592.1 L 831.8,572.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 822.3,587.9 L 827.0,574.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 831.8,572.8 L 818.4,557.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 818.4,557.4 L 798.3,561.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 816.2,562.0 L 802.1,564.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 738.2,573.1 L 724.7,557.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 733.1,573.5 L 723.7,562.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-14 atom-9\" d=\"M 731.6,592.5 L 738.2,573.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 724.7,557.7 L 704.7,561.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 704.7,561.7 L 698.1,581.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 707.5,565.9 L 702.9,579.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 698.1,581.0 L 711.5,596.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 711.5,596.4 L 731.6,592.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 713.7,591.8 L 727.8,589.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 762.2 549.9 Q 762.2 548.5, 762.9 547.7 Q 763.5 546.9, 764.8 546.9 Q 766.1 546.9, 766.8 547.7 Q 767.5 548.5, 767.5 549.9 Q 767.5 551.3, 766.8 552.1 Q 766.1 552.9, 764.8 552.9 Q 763.6 552.9, 762.9 552.1 Q 762.2 551.3, 762.2 549.9 M 764.8 552.2 Q 765.7 552.2, 766.2 551.6 Q 766.7 551.0, 766.7 549.9 Q 766.7 548.7, 766.2 548.2 Q 765.7 547.6, 764.8 547.6 Q 764.0 547.6, 763.5 548.2 Q 763.0 548.7, 763.0 549.9 Q 763.0 551.0, 763.5 551.6 Q 764.0 552.2, 764.8 552.2 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 770.4 581.7 L 772.3 584.8 Q 772.5 585.1, 772.8 585.6 Q 773.1 586.2, 773.1 586.2 L 773.1 581.7 L 773.9 581.7 L 773.9 587.5 L 773.1 587.5 L 771.0 584.1 Q 770.8 583.7, 770.5 583.3 Q 770.3 582.8, 770.2 582.7 L 770.2 587.5 L 769.5 587.5 L 769.5 581.7 L 770.4 581.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 769.4 588.1 L 770.2 588.1 L 770.2 590.5 L 773.1 590.5 L 773.1 588.1 L 773.9 588.1 L 773.9 593.9 L 773.1 593.9 L 773.1 591.2 L 770.2 591.2 L 770.2 593.9 L 769.4 593.9 L 769.4 588.1 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 704.7,582.1 L 712.6,585.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 712.6,585.3 L 720.6,588.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 727.0,587.2 L 733.4,582.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 733.4,582.1 L 739.9,577.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 739.9,577.0 L 737.0,556.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 743.5,573.3 L 741.5,559.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-2\" d=\"M 759.0,584.6 L 739.9,577.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 737.0,556.6 L 753.1,543.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 753.1,543.9 L 772.2,551.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 754.4,548.9 L 767.8,554.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 802.0,576.0 L 808.5,570.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 793.0,577.8 L 799.4,572.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 799.4,572.7 L 805.9,567.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 740.5 658.3 L 741.8 658.3 L 741.8 673.8 L 740.5 673.8 L 740.5 658.3 \" fill=\"#000000\"/>\n",
@@ -11723,31 +11867,32 @@
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        "<path d=\"M 791.4 658.6 L 792.5 658.6 L 792.5 662.0 L 791.4 662.0 L 791.4 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 796.3 658.3 L 796.3 673.8 L 792.9 673.8 L 792.9 672.7 L 794.9 672.7 L 794.9 659.5 L 792.9 659.5 L 792.9 658.3 L 796.3 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 879.3,584.1 L 887.2,587.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 887.2,587.3 L 895.2,590.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 901.5,589.2 L 907.9,584.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 907.9,584.1 L 914.4,579.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 914.4,579.0 L 911.4,558.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 918.0,575.4 L 915.9,561.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-2\" d=\"M 933.4,586.6 L 914.4,579.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 911.4,558.8 L 927.5,546.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 927.5,546.1 L 946.5,553.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 928.8,551.1 L 942.1,556.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 946.5,553.7 L 949.4,573.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 949.4,573.9 L 968.4,581.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-6 atom-10\" d=\"M 949.4,573.9 L 933.4,586.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-6 atom-10\" d=\"M 944.5,572.6 L 933.2,581.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 968.4,581.5 L 969.6,589.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 969.6,589.9 L 970.8,598.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 969.7,583.1 L 976.1,578.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 976.1,578.0 L 982.5,572.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 967.1,579.9 L 973.6,574.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-7 atom-9\" d=\"M 973.6,574.8 L 980.0,569.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 895.7 591.7 Q 895.7 590.3, 896.4 589.5 Q 897.0 588.8, 898.3 588.8 Q 899.6 588.8, 900.3 589.5 Q 901.0 590.3, 901.0 591.7 Q 901.0 593.1, 900.3 593.9 Q 899.6 594.7, 898.3 594.7 Q 897.0 594.7, 896.4 593.9 Q 895.7 593.1, 895.7 591.7 M 898.3 594.0 Q 899.2 594.0, 899.7 593.5 Q 900.2 592.9, 900.2 591.7 Q 900.2 590.6, 899.7 590.0 Q 899.2 589.4, 898.3 589.4 Q 897.4 589.4, 897.0 590.0 Q 896.5 590.6, 896.5 591.7 Q 896.5 592.9, 897.0 593.5 Q 897.4 594.0, 898.3 594.0 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-8\" d=\"M 970.1 598.8 L 972.0 601.9 Q 972.1 602.2, 972.4 602.7 Q 972.7 603.3, 972.8 603.3 L 972.8 598.8 L 973.5 598.8 L 973.5 604.6 L 972.7 604.6 L 970.7 601.3 Q 970.5 600.9, 970.2 600.4 Q 970.0 600.0, 969.9 599.8 L 969.9 604.6 L 969.1 604.6 L 969.1 598.8 L 970.1 598.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 974.2 598.8 L 975.0 598.8 L 975.0 601.3 L 978.0 601.3 L 978.0 598.8 L 978.8 598.8 L 978.8 604.6 L 978.0 604.6 L 978.0 601.9 L 975.0 601.9 L 975.0 604.6 L 974.2 604.6 L 974.2 598.8 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-8\" d=\"M 979.0 604.4 Q 979.2 604.0, 979.5 603.8 Q 979.8 603.6, 980.3 603.6 Q 980.9 603.6, 981.2 604.0 Q 981.5 604.3, 981.5 604.8 Q 981.5 605.4, 981.1 605.9 Q 980.7 606.4, 979.8 607.1 L 981.6 607.1 L 981.6 607.5 L 979.0 607.5 L 979.0 607.1 Q 979.7 606.6, 980.2 606.3 Q 980.6 605.9, 980.8 605.5 Q 981.0 605.2, 981.0 604.8 Q 981.0 604.5, 980.8 604.3 Q 980.6 604.1, 980.3 604.1 Q 980.0 604.1, 979.8 604.2 Q 979.6 604.3, 979.4 604.6 L 979.0 604.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-9\" d=\"M 981.8 568.8 Q 981.8 567.4, 982.5 566.7 Q 983.2 565.9, 984.4 565.9 Q 985.7 565.9, 986.4 566.7 Q 987.1 567.4, 987.1 568.8 Q 987.1 570.2, 986.4 571.0 Q 985.7 571.8, 984.4 571.8 Q 983.2 571.8, 982.5 571.0 Q 981.8 570.3, 981.8 568.8 M 984.4 571.2 Q 985.3 571.2, 985.8 570.6 Q 986.3 570.0, 986.3 568.8 Q 986.3 567.7, 985.8 567.1 Q 985.3 566.5, 984.4 566.5 Q 983.6 566.5, 983.1 567.1 Q 982.6 567.7, 982.6 568.8 Q 982.6 570.0, 983.1 570.6 Q 983.6 571.2, 984.4 571.2 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 876.1,578.2 L 884.2,574.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 884.2,574.8 L 892.3,571.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 895.5,566.8 L 896.6,558.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 896.6,558.3 L 897.7,549.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-1 atom-3\" d=\"M 897.8,572.3 L 904.6,577.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-1 atom-3\" d=\"M 904.6,577.5 L 911.4,582.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 909.4,582.4 L 908.3,590.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 908.3,590.9 L 907.2,599.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 913.5,582.9 L 912.4,591.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 912.4,591.4 L 911.3,599.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-3 atom-5\" d=\"M 911.4,582.7 L 930.4,574.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 930.4,574.7 L 933.0,554.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 934.8,572.2 L 936.7,557.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-5\" d=\"M 946.7,587.2 L 930.4,574.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 933.0,554.3 L 951.9,546.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 951.9,551.5 L 963.3,560.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 968.3,558.8 L 965.7,579.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 965.7,579.2 L 972.5,584.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 972.5,584.4 L 979.3,589.6\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-11\" d=\"M 965.7,579.2 L 946.7,587.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-11\" d=\"M 961.3,576.6 L 948.0,582.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 893.8 567.3 L 895.7 570.4 Q 895.9 570.7, 896.2 571.3 Q 896.5 571.8, 896.5 571.8 L 896.5 567.3 L 897.3 567.3 L 897.3 573.1 L 896.5 573.1 L 894.4 569.8 Q 894.2 569.4, 893.9 568.9 Q 893.7 568.5, 893.6 568.3 L 893.6 573.1 L 892.9 573.1 L 892.9 567.3 L 893.8 567.3 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"atom-10\" d=\"M 979.8 591.9 Q 979.8 590.4, 980.5 589.7 Q 981.2 588.9, 982.5 588.9 Q 983.7 588.9, 984.3 589.7 L 983.8 590.2 Q 983.3 589.6, 982.5 589.6 Q 981.6 589.6, 981.1 590.2 Q 980.6 590.7, 980.6 591.9 Q 980.6 593.0, 981.1 593.6 Q 981.6 594.2, 982.5 594.2 Q 983.2 594.2, 983.9 593.8 L 984.2 594.4 Q 983.9 594.6, 983.4 594.7 Q 982.9 594.9, 982.4 594.9 Q 981.2 594.9, 980.5 594.1 Q 979.8 593.3, 979.8 591.9 \" fill=\"#00CC00\"/>\n",
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        "<path d=\"M 897.5 661.5 Q 897.9 660.5, 898.9 659.9 Q 899.9 659.3, 901.3 659.3 Q 903.0 659.3, 904.0 660.2 Q 904.9 661.1, 904.9 662.8 Q 904.9 664.4, 903.7 666.0 Q 902.4 667.6, 899.9 669.4 L 905.1 669.4 L 905.1 670.7 L 897.5 670.7 L 897.5 669.6 Q 899.6 668.1, 900.8 667.0 Q 902.1 665.9, 902.7 664.9 Q 903.3 663.9, 903.3 662.8 Q 903.3 661.8, 902.8 661.2 Q 902.2 660.5, 901.3 660.5 Q 900.4 660.5, 899.8 660.9 Q 899.2 661.3, 898.7 662.1 L 897.5 661.5 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 910.5 658.3 L 911.8 658.3 L 911.8 673.8 L 910.5 673.8 L 910.5 658.3 \" fill=\"#000000\"/>\n",
@@ -11763,35 +11908,39 @@
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        "<path d=\"M 961.4 658.6 L 962.5 658.6 L 962.5 662.0 L 961.4 662.0 L 961.4 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 966.3 658.3 L 966.3 673.8 L 962.9 673.8 L 962.9 672.7 L 964.9 672.7 L 964.9 659.5 L 962.9 659.5 L 962.9 658.3 L 966.3 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1107.0,608.2 L 1107.0,599.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1107.0,599.6 L 1107.0,591.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1102.9,608.2 L 1102.9,599.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1102.9,599.6 L 1102.9,591.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1104.9,591.1 L 1122.6,580.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-1 atom-8\" d=\"M 1104.9,591.1 L 1097.4,586.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-1 atom-8\" d=\"M 1097.4,586.8 L 1089.9,582.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1122.6,580.9 L 1140.3,591.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1127.3,578.9 L 1139.7,586.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-7 atom-2\" d=\"M 1122.6,560.5 L 1122.6,580.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1140.3,591.1 L 1158.0,580.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1158.0,580.9 L 1158.0,560.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1154.0,577.9 L 1154.0,563.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1158.0,560.5 L 1140.3,550.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1140.3,550.3 L 1122.6,560.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1139.7,555.3 L 1127.3,562.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1087.2,577.5 L 1087.2,569.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1087.2,569.0 L 1087.2,560.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-13 atom-8\" d=\"M 1069.5,591.1 L 1077.0,586.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-13 atom-8\" d=\"M 1077.0,586.8 L 1084.5,582.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1087.2,560.5 L 1069.5,550.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1069.5,550.3 L 1062.3,554.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1062.3,554.5 L 1055.0,558.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1051.8,564.0 L 1051.8,572.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1051.8,572.5 L 1051.8,580.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 1051.8,580.9 L 1069.5,591.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1102.3 611.6 Q 1102.3 610.2, 1103.0 609.4 Q 1103.7 608.7, 1104.9 608.7 Q 1106.2 608.7, 1106.9 609.4 Q 1107.6 610.2, 1107.6 611.6 Q 1107.6 613.0, 1106.9 613.8 Q 1106.2 614.6, 1104.9 614.6 Q 1103.7 614.6, 1103.0 613.8 Q 1102.3 613.0, 1102.3 611.6 M 1104.9 614.0 Q 1105.8 614.0, 1106.3 613.4 Q 1106.8 612.8, 1106.8 611.6 Q 1106.8 610.5, 1106.3 609.9 Q 1105.8 609.3, 1104.9 609.3 Q 1104.1 609.3, 1103.6 609.9 Q 1103.1 610.5, 1103.1 611.6 Q 1103.1 612.8, 1103.6 613.4 Q 1104.1 614.0, 1104.9 614.0 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-8\" d=\"M 1086.0 578.0 L 1087.9 581.1 Q 1088.0 581.4, 1088.3 582.0 Q 1088.6 582.5, 1088.7 582.5 L 1088.7 578.0 L 1089.4 578.0 L 1089.4 583.8 L 1088.6 583.8 L 1086.6 580.5 Q 1086.4 580.1, 1086.1 579.6 Q 1085.9 579.2, 1085.8 579.0 L 1085.8 583.8 L 1085.0 583.8 L 1085.0 578.0 L 1086.0 578.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-11\" d=\"M 1049.2 560.5 Q 1049.2 559.1, 1049.9 558.3 Q 1050.5 557.6, 1051.8 557.6 Q 1053.1 557.6, 1053.8 558.3 Q 1054.5 559.1, 1054.5 560.5 Q 1054.5 561.9, 1053.8 562.7 Q 1053.1 563.5, 1051.8 563.5 Q 1050.6 563.5, 1049.9 562.7 Q 1049.2 561.9, 1049.2 560.5 M 1051.8 562.9 Q 1052.7 562.9, 1053.2 562.3 Q 1053.7 561.7, 1053.7 560.5 Q 1053.7 559.4, 1053.2 558.8 Q 1052.7 558.2, 1051.8 558.2 Q 1050.9 558.2, 1050.5 558.8 Q 1050.0 559.4, 1050.0 560.5 Q 1050.0 561.7, 1050.5 562.3 Q 1050.9 562.9, 1051.8 562.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1032.3,590.0 L 1040.2,586.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1040.2,586.3 L 1048.2,582.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1051.3,578.0 L 1052.1,569.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1052.1,569.5 L 1052.9,561.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 1067.7,593.3 L 1060.7,588.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 1060.7,588.4 L 1053.7,583.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1052.9,561.0 L 1071.5,552.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1071.5,552.4 L 1078.6,557.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1078.6,557.4 L 1085.6,562.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1091.0,563.1 L 1099.0,559.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1099.0,559.4 L 1107.0,555.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-4 atom-13\" d=\"M 1088.0,567.7 L 1087.2,576.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-4 atom-13\" d=\"M 1087.2,576.2 L 1086.4,584.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1109.0,555.9 L 1109.8,547.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1109.8,547.5 L 1110.6,539.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1104.9,555.5 L 1105.7,547.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1105.7,547.1 L 1106.5,538.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 1107.0,555.7 L 1123.7,567.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1123.7,567.6 L 1121.8,588.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1127.6,571.1 L 1126.2,585.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-15 atom-12 atom-7\" d=\"M 1142.4,559.1 L 1123.7,567.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1121.8,588.1 L 1138.6,600.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1138.6,600.0 L 1157.3,591.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1139.7,595.0 L 1152.8,589.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1157.3,591.4 L 1159.2,571.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1159.2,571.0 L 1142.4,559.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 1154.3,572.5 L 1142.6,564.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 1086.4,584.8 L 1067.7,593.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 1049.7 578.5 L 1051.6 581.6 Q 1051.8 581.9, 1052.1 582.5 Q 1052.4 583.0, 1052.4 583.1 L 1052.4 578.5 L 1053.2 578.5 L 1053.2 584.3 L 1052.4 584.3 L 1050.3 581.0 Q 1050.1 580.6, 1049.8 580.1 Q 1049.6 579.7, 1049.5 579.5 L 1049.5 584.3 L 1048.7 584.3 L 1048.7 578.5 L 1049.7 578.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-1\" d=\"M 1053.6 579.6 L 1054.7 579.6 L 1054.7 578.5 L 1055.1 578.5 L 1055.1 579.6 L 1056.2 579.6 L 1056.2 580.0 L 1055.1 580.0 L 1055.1 581.1 L 1054.7 581.1 L 1054.7 580.0 L 1053.6 580.0 L 1053.6 579.6 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-1\" d=\"M 1048.7 584.9 L 1049.5 584.9 L 1049.5 587.4 L 1052.4 587.4 L 1052.4 584.9 L 1053.2 584.9 L 1053.2 590.8 L 1052.4 590.8 L 1052.4 588.1 L 1049.5 588.1 L 1049.5 590.8 L 1048.7 590.8 L 1048.7 584.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-4\" d=\"M 1087.0 561.4 L 1088.9 564.5 Q 1089.1 564.8, 1089.4 565.3 Q 1089.7 565.9, 1089.7 565.9 L 1089.7 561.4 L 1090.5 561.4 L 1090.5 567.2 L 1089.7 567.2 L 1087.7 563.8 Q 1087.4 563.4, 1087.2 563.0 Q 1086.9 562.5, 1086.9 562.4 L 1086.9 567.2 L 1086.1 567.2 L 1086.1 561.4 L 1087.0 561.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 1106.2 535.3 Q 1106.2 533.9, 1106.9 533.1 Q 1107.6 532.3, 1108.9 532.3 Q 1110.2 532.3, 1110.9 533.1 Q 1111.6 533.9, 1111.6 535.3 Q 1111.6 536.7, 1110.9 537.5 Q 1110.2 538.3, 1108.9 538.3 Q 1107.6 538.3, 1106.9 537.5 Q 1106.2 536.7, 1106.2 535.3 M 1108.9 537.6 Q 1109.8 537.6, 1110.3 537.1 Q 1110.8 536.5, 1110.8 535.3 Q 1110.8 534.1, 1110.3 533.6 Q 1109.8 533.0, 1108.9 533.0 Q 1108.0 533.0, 1107.5 533.6 Q 1107.1 534.1, 1107.1 535.3 Q 1107.1 536.5, 1107.5 537.1 Q 1108.0 537.6, 1108.9 537.6 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 1067.5 661.5 Q 1067.9 660.5, 1068.9 659.9 Q 1069.9 659.3, 1071.3 659.3 Q 1073.0 659.3, 1074.0 660.2 Q 1074.9 661.1, 1074.9 662.8 Q 1074.9 664.4, 1073.7 666.0 Q 1072.4 667.6, 1069.9 669.4 L 1075.1 669.4 L 1075.1 670.7 L 1067.5 670.7 L 1067.5 669.6 Q 1069.6 668.1, 1070.8 667.0 Q 1072.1 665.9, 1072.7 664.9 Q 1073.3 663.9, 1073.3 662.8 Q 1073.3 661.8, 1072.8 661.2 Q 1072.2 660.5, 1071.3 660.5 Q 1070.4 660.5, 1069.8 660.9 Q 1069.2 661.3, 1068.7 662.1 L 1067.5 661.5 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1080.5 658.3 L 1081.8 658.3 L 1081.8 673.8 L 1080.5 673.8 L 1080.5 658.3 \" fill=\"#000000\"/>\n",
@@ -11807,39 +11956,31 @@
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        "<path d=\"M 1131.4 658.6 L 1132.5 658.6 L 1132.5 662.0 L 1131.4 662.0 L 1131.4 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1136.3 658.3 L 1136.3 673.8 L 1132.9 673.8 L 1132.9 672.7 L 1134.9 672.7 L 1134.9 659.5 L 1132.9 659.5 L 1132.9 658.3 L 1136.3 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 17.0,762.0 L 24.9,758.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 24.9,758.3 L 32.8,754.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 35.9,750.1 L 36.7,741.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 36.7,741.6 L 37.5,733.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 52.2,765.3 L 45.2,760.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-14 atom-14 atom-1\" d=\"M 45.2,760.3 L 38.3,755.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 37.5,733.1 L 56.0,724.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 56.0,724.6 L 63.0,729.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 63.0,729.5 L 70.0,734.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 75.4,735.2 L 83.4,731.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 83.4,731.5 L 91.3,727.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-4 atom-13\" d=\"M 72.4,739.8 L 71.6,748.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-4 atom-13\" d=\"M 71.6,748.3 L 70.8,756.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 93.3,728.1 L 94.1,719.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 94.1,719.7 L 94.9,711.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 89.3,727.7 L 90.0,719.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 90.0,719.3 L 90.8,710.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 91.3,727.9 L 108.0,739.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 108.0,739.7 L 106.0,760.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 111.7,743.2 L 110.4,757.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-15 atom-12 atom-7\" d=\"M 126.5,731.2 L 108.0,739.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 106.0,760.1 L 122.7,771.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 122.7,771.9 L 141.3,763.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 123.8,766.9 L 136.8,760.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 141.3,763.4 L 143.2,743.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 143.2,743.0 L 126.5,731.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 138.3,744.6 L 126.7,736.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-13 atom-14\" d=\"M 70.8,756.8 L 52.2,765.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 34.3 750.6 L 36.2 753.6 Q 36.4 753.9, 36.7 754.5 Q 37.0 755.0, 37.0 755.1 L 37.0 750.6 L 37.7 750.6 L 37.7 756.4 L 37.0 756.4 L 34.9 753.0 Q 34.7 752.6, 34.4 752.2 Q 34.2 751.7, 34.1 751.6 L 34.1 756.4 L 33.4 756.4 L 33.4 750.6 L 34.3 750.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-1\" d=\"M 38.2 751.6 L 39.3 751.6 L 39.3 750.5 L 39.7 750.5 L 39.7 751.6 L 40.8 751.6 L 40.8 752.0 L 39.7 752.0 L 39.7 753.1 L 39.3 753.1 L 39.3 752.0 L 38.2 752.0 L 38.2 751.6 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-1\" d=\"M 33.3 756.9 L 34.1 756.9 L 34.1 759.4 L 37.0 759.4 L 37.0 756.9 L 37.8 756.9 L 37.8 762.7 L 37.0 762.7 L 37.0 760.0 L 34.1 760.0 L 34.1 762.7 L 33.3 762.7 L 33.3 756.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 71.4 733.5 L 73.3 736.6 Q 73.5 736.9, 73.8 737.4 Q 74.1 738.0, 74.1 738.0 L 74.1 733.5 L 74.9 733.5 L 74.9 739.3 L 74.1 739.3 L 72.1 736.0 Q 71.8 735.6, 71.6 735.1 Q 71.3 734.7, 71.3 734.5 L 71.3 739.3 L 70.5 739.3 L 70.5 733.5 L 71.4 733.5 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 90.5 707.6 Q 90.5 706.2, 91.2 705.4 Q 91.9 704.6, 93.2 704.6 Q 94.5 704.6, 95.2 705.4 Q 95.9 706.2, 95.9 707.6 Q 95.9 709.0, 95.2 709.8 Q 94.5 710.6, 93.2 710.6 Q 91.9 710.6, 91.2 709.8 Q 90.5 709.0, 90.5 707.6 M 93.2 709.9 Q 94.1 709.9, 94.6 709.3 Q 95.0 708.7, 95.0 707.6 Q 95.0 706.4, 94.6 705.8 Q 94.1 705.3, 93.2 705.3 Q 92.3 705.3, 91.8 705.8 Q 91.4 706.4, 91.4 707.6 Q 91.4 708.7, 91.8 709.3 Q 92.3 709.9, 93.2 709.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 77.4,775.2 L 77.8,766.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 77.8,766.7 L 78.2,758.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 73.3,775.0 L 73.7,766.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 73.7,766.5 L 74.1,758.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 76.1,758.1 L 94.4,748.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-1 atom-8\" d=\"M 76.1,758.1 L 68.8,753.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-1 atom-8\" d=\"M 68.8,753.4 L 61.6,748.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 94.4,748.6 L 111.7,759.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 99.2,746.8 L 111.3,754.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-7 atom-2\" d=\"M 95.3,728.1 L 94.4,748.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 111.7,759.7 L 129.9,750.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 129.9,750.3 L 130.9,729.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 126.0,747.0 L 126.7,732.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 130.9,729.7 L 113.6,718.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 113.6,718.6 L 95.3,728.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 112.7,723.7 L 100.0,730.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 56.1,748.0 L 47.9,751.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 47.9,751.2 L 39.7,754.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-12 atom-8\" d=\"M 57.6,726.5 L 58.1,735.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-12 atom-8\" d=\"M 58.1,735.0 L 58.6,743.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 39.7,754.5 L 26.7,738.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 26.7,738.6 L 37.7,721.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 37.7,721.3 L 57.6,726.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 72.5 778.6 Q 72.5 777.2, 73.2 776.4 Q 73.9 775.6, 75.2 775.6 Q 76.5 775.6, 77.2 776.4 Q 77.9 777.2, 77.9 778.6 Q 77.9 780.0, 77.2 780.8 Q 76.5 781.6, 75.2 781.6 Q 73.9 781.6, 73.2 780.8 Q 72.5 780.0, 72.5 778.6 M 75.2 781.0 Q 76.1 781.0, 76.6 780.4 Q 77.0 779.8, 77.0 778.6 Q 77.0 777.5, 76.6 776.9 Q 76.1 776.3, 75.2 776.3 Q 74.3 776.3, 73.8 776.9 Q 73.3 777.4, 73.3 778.6 Q 73.3 779.8, 73.8 780.4 Q 74.3 781.0, 75.2 781.0 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-8\" d=\"M 57.5 744.1 L 59.5 747.1 Q 59.6 747.4, 59.9 748.0 Q 60.3 748.5, 60.3 748.6 L 60.3 744.1 L 61.0 744.1 L 61.0 749.9 L 60.2 749.9 L 58.2 746.5 Q 58.0 746.1, 57.7 745.7 Q 57.5 745.2, 57.4 745.1 L 57.4 749.9 L 56.6 749.9 L 56.6 744.1 L 57.5 744.1 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 47.5 831.5 Q 47.9 830.5, 48.9 829.9 Q 49.9 829.3, 51.3 829.3 Q 53.0 829.3, 54.0 830.2 Q 54.9 831.1, 54.9 832.8 Q 54.9 834.4, 53.7 836.0 Q 52.4 837.6, 49.9 839.4 L 55.1 839.4 L 55.1 840.7 L 47.5 840.7 L 47.5 839.6 Q 49.6 838.1, 50.8 837.0 Q 52.1 835.9, 52.7 834.9 Q 53.3 833.9, 53.3 832.8 Q 53.3 831.8, 52.8 831.2 Q 52.2 830.5, 51.3 830.5 Q 50.4 830.5, 49.8 830.9 Q 49.2 831.3, 48.7 832.1 L 47.5 831.5 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 60.5 828.3 L 61.8 828.3 L 61.8 843.8 L 60.5 843.8 L 60.5 828.3 \" fill=\"#000000\"/>\n",
@@ -11855,32 +11996,35 @@
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        "<path d=\"M 111.4 828.6 L 112.5 828.6 L 112.5 832.0 L 111.4 832.0 L 111.4 828.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 116.3 828.3 L 116.3 843.8 L 112.9 843.8 L 112.9 842.7 L 114.9 842.7 L 114.9 829.5 L 112.9 829.5 L 112.9 828.3 L 116.3 828.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 200.7,750.2 L 208.8,746.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 208.8,746.8 L 216.9,743.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 220.0,738.9 L 221.1,730.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 221.1,730.5 L 222.2,722.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-1 atom-3\" d=\"M 222.3,744.4 L 229.1,749.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-1 atom-3\" d=\"M 229.1,749.5 L 235.9,754.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 233.8,754.4 L 232.8,762.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 232.8,762.8 L 231.7,771.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 237.9,754.9 L 236.8,763.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 236.8,763.4 L 235.8,771.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-3 atom-5\" d=\"M 235.9,754.7 L 254.7,746.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 254.7,746.8 L 257.3,726.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 259.2,744.3 L 261.0,730.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-5\" d=\"M 271.0,759.2 L 254.7,746.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 257.3,726.5 L 276.2,718.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 276.2,718.6 L 292.4,731.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 276.1,723.7 L 287.5,732.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 292.4,731.0 L 289.8,751.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 289.8,751.2 L 296.6,756.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 296.6,756.4 L 303.4,761.5\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-11\" d=\"M 289.8,751.2 L 271.0,759.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-11\" d=\"M 285.4,748.7 L 272.2,754.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 218.3 739.4 L 220.2 742.5 Q 220.4 742.8, 220.7 743.3 Q 221.0 743.9, 221.0 743.9 L 221.0 739.4 L 221.8 739.4 L 221.8 745.2 L 221.0 745.2 L 219.0 741.9 Q 218.7 741.5, 218.5 741.0 Q 218.2 740.6, 218.2 740.4 L 218.2 745.2 L 217.4 745.2 L 217.4 739.4 L 218.3 739.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 230.6 775.0 Q 230.6 773.6, 231.3 772.8 Q 232.0 772.0, 233.3 772.0 Q 234.6 772.0, 235.3 772.8 Q 235.9 773.6, 235.9 775.0 Q 235.9 776.4, 235.3 777.2 Q 234.6 778.0, 233.3 778.0 Q 232.0 778.0, 231.3 777.2 Q 230.6 776.4, 230.6 775.0 M 233.3 777.3 Q 234.2 777.3, 234.6 776.7 Q 235.1 776.1, 235.1 775.0 Q 235.1 773.8, 234.6 773.3 Q 234.2 772.7, 233.3 772.7 Q 232.4 772.7, 231.9 773.3 Q 231.4 773.8, 231.4 775.0 Q 231.4 776.1, 231.9 776.7 Q 232.4 777.3, 233.3 777.3 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-10\" d=\"M 303.9 763.8 Q 303.9 762.4, 304.5 761.6 Q 305.2 760.9, 306.5 760.9 Q 307.7 760.9, 308.3 761.7 L 307.8 762.2 Q 307.3 761.5, 306.5 761.5 Q 305.6 761.5, 305.2 762.1 Q 304.7 762.7, 304.7 763.8 Q 304.7 765.0, 305.2 765.6 Q 305.7 766.1, 306.6 766.1 Q 307.2 766.1, 308.0 765.8 L 308.2 766.4 Q 307.9 766.6, 307.5 766.7 Q 307.0 766.8, 306.5 766.8 Q 305.2 766.8, 304.5 766.0 Q 303.9 765.3, 303.9 763.8 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-10\" d=\"M 309.0 760.5 L 309.8 760.5 L 309.8 766.7 L 309.0 766.7 L 309.0 760.5 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 252.7,776.3 L 252.7,767.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 252.7,767.7 L 252.7,759.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 248.5,776.3 L 248.5,767.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 248.5,767.7 L 248.5,759.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 250.6,759.2 L 268.4,748.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-1 atom-8\" d=\"M 250.6,759.2 L 243.1,754.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-1 atom-8\" d=\"M 243.1,754.8 L 235.5,750.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 268.4,748.9 L 286.2,759.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 273.1,746.9 L 285.6,754.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-7 atom-2\" d=\"M 268.4,728.3 L 268.4,748.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 286.2,759.2 L 304.0,748.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 304.0,748.9 L 304.0,728.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 299.9,745.8 L 299.9,731.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 304.0,728.3 L 286.2,718.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 286.2,718.1 L 268.4,728.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 285.6,723.2 L 273.1,730.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 232.8,745.5 L 232.8,736.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 232.8,736.9 L 232.8,728.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-13 atom-8\" d=\"M 215.0,759.2 L 222.5,754.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-14 atom-13 atom-8\" d=\"M 222.5,754.8 L 230.1,750.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 232.8,728.3 L 215.0,718.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 215.0,718.1 L 207.7,722.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 207.7,722.3 L 200.4,726.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 197.2,731.9 L 197.2,740.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 197.2,740.4 L 197.2,748.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-13\" d=\"M 197.2,748.9 L 215.0,759.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 247.9 779.7 Q 247.9 778.3, 248.6 777.6 Q 249.3 776.8, 250.6 776.8 Q 251.9 776.8, 252.6 777.6 Q 253.3 778.3, 253.3 779.7 Q 253.3 781.2, 252.6 782.0 Q 251.9 782.8, 250.6 782.8 Q 249.3 782.8, 248.6 782.0 Q 247.9 781.2, 247.9 779.7 M 250.6 782.1 Q 251.5 782.1, 252.0 781.5 Q 252.4 780.9, 252.4 779.7 Q 252.4 778.6, 252.0 778.0 Q 251.5 777.4, 250.6 777.4 Q 249.7 777.4, 249.2 778.0 Q 248.7 778.6, 248.7 779.7 Q 248.7 780.9, 249.2 781.5 Q 249.7 782.1, 250.6 782.1 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-8\" d=\"M 231.5 746.0 L 233.4 749.1 Q 233.6 749.4, 233.9 749.9 Q 234.2 750.5, 234.2 750.5 L 234.2 746.0 L 235.0 746.0 L 235.0 751.8 L 234.2 751.8 L 232.2 748.4 Q 231.9 748.0, 231.7 747.6 Q 231.4 747.1, 231.3 747.0 L 231.3 751.8 L 230.6 751.8 L 230.6 746.0 L 231.5 746.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-11\" d=\"M 194.5 728.4 Q 194.5 727.0, 195.2 726.2 Q 195.9 725.4, 197.2 725.4 Q 198.5 725.4, 199.2 726.2 Q 199.9 727.0, 199.9 728.4 Q 199.9 729.8, 199.2 730.6 Q 198.5 731.4, 197.2 731.4 Q 195.9 731.4, 195.2 730.6 Q 194.5 729.8, 194.5 728.4 M 197.2 730.7 Q 198.1 730.7, 198.6 730.1 Q 199.1 729.5, 199.1 728.4 Q 199.1 727.2, 198.6 726.6 Q 198.1 726.1, 197.2 726.1 Q 196.3 726.1, 195.8 726.6 Q 195.4 727.2, 195.4 728.4 Q 195.4 729.5, 195.8 730.1 Q 196.3 730.7, 197.2 730.7 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 217.5 831.5 Q 217.9 830.5, 218.9 829.9 Q 219.9 829.3, 221.3 829.3 Q 223.0 829.3, 224.0 830.2 Q 224.9 831.1, 224.9 832.8 Q 224.9 834.4, 223.7 836.0 Q 222.4 837.6, 219.9 839.4 L 225.1 839.4 L 225.1 840.7 L 217.5 840.7 L 217.5 839.6 Q 219.6 838.1, 220.8 837.0 Q 222.1 835.9, 222.7 834.9 Q 223.3 833.9, 223.3 832.8 Q 223.3 831.8, 222.8 831.2 Q 222.2 830.5, 221.3 830.5 Q 220.4 830.5, 219.8 830.9 Q 219.2 831.3, 218.7 832.1 L 217.5 831.5 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 230.5 828.3 L 231.8 828.3 L 231.8 843.8 L 230.5 843.8 L 230.5 828.3 \" fill=\"#000000\"/>\n",
@@ -11896,32 +12040,32 @@
        "<path d=\"M 274.0 829.4 L 280.7 829.4 L 280.7 830.7 L 275.5 830.7 L 275.5 834.1 L 280.2 834.1 L 280.2 835.4 L 275.5 835.4 L 275.5 839.4 L 280.9 839.4 L 280.9 840.7 L 274.0 840.7 L 274.0 829.4 \" fill=\"#000000\"/>\n",
        "<path d=\"M 281.4 828.6 L 282.5 828.6 L 282.5 832.0 L 281.4 832.0 L 281.4 828.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 286.3 828.3 L 286.3 843.8 L 282.9 843.8 L 282.9 842.7 L 284.9 842.7 L 284.9 829.5 L 282.9 829.5 L 282.9 828.3 L 286.3 828.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 373.1,753.6 L 378.7,748.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 378.7,748.0 L 384.4,742.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 370.2,750.7 L 375.8,745.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 375.8,745.1 L 381.5,739.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 382.9,740.9 L 380.8,732.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 380.8,732.8 L 378.6,724.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-1 atom-3\" d=\"M 382.9,740.9 L 402.7,746.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 402.7,746.2 L 408.0,765.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 407.4,748.1 L 411.1,761.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-12 atom-12 atom-3\" d=\"M 417.1,731.7 L 402.7,746.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 408.0,765.9 L 427.7,771.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 427.7,771.2 L 442.2,756.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 427.0,766.1 L 437.1,756.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 442.2,756.8 L 461.9,762.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-13 atom-11 atom-6\" d=\"M 436.9,737.0 L 442.2,756.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 461.9,762.0 L 476.4,747.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 461.2,757.0 L 471.3,746.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 476.4,747.6 L 471.1,727.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 471.1,727.8 L 451.3,722.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 467.0,731.0 L 453.2,727.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 451.3,722.6 L 436.9,737.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 436.9,737.0 L 417.1,731.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 432.8,740.2 L 419.0,736.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 365.8 755.4 Q 365.8 754.0, 366.5 753.2 Q 367.2 752.4, 368.5 752.4 Q 369.8 752.4, 370.4 753.2 Q 371.1 754.0, 371.1 755.4 Q 371.1 756.8, 370.4 757.6 Q 369.7 758.4, 368.5 758.4 Q 367.2 758.4, 366.5 757.6 Q 365.8 756.8, 365.8 755.4 M 368.5 757.7 Q 369.4 757.7, 369.8 757.1 Q 370.3 756.5, 370.3 755.4 Q 370.3 754.2, 369.8 753.6 Q 369.4 753.1, 368.5 753.1 Q 367.6 753.1, 367.1 753.6 Q 366.6 754.2, 366.6 755.4 Q 366.6 756.5, 367.1 757.1 Q 367.6 757.7, 368.5 757.7 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 375.0 721.2 Q 375.0 719.8, 375.7 719.0 Q 376.4 718.2, 377.6 718.2 Q 378.9 718.2, 379.6 719.0 Q 380.3 719.8, 380.3 721.2 Q 380.3 722.6, 379.6 723.4 Q 378.9 724.2, 377.6 724.2 Q 376.4 724.2, 375.7 723.4 Q 375.0 722.6, 375.0 721.2 M 377.6 723.5 Q 378.5 723.5, 379.0 722.9 Q 379.5 722.3, 379.5 721.2 Q 379.5 720.0, 379.0 719.4 Q 378.5 718.9, 377.6 718.9 Q 376.8 718.9, 376.3 719.4 Q 375.8 720.0, 375.8 721.2 Q 375.8 722.3, 376.3 722.9 Q 376.8 723.5, 377.6 723.5 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 380.6 719.2 L 382.5 719.2 L 382.5 719.6 L 380.6 719.6 L 380.6 719.2 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 368.5,751.6 L 374.1,745.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 374.1,745.9 L 379.8,740.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 365.6,748.7 L 371.2,743.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 371.2,743.0 L 376.9,737.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 378.4,738.8 L 376.2,730.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 376.2,730.6 L 374.0,722.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-1 atom-3\" d=\"M 378.4,738.8 L 398.2,744.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 398.2,744.1 L 403.5,764.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 403.0,746.0 L 406.7,759.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-12 atom-3\" d=\"M 412.7,729.6 L 398.2,744.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 403.5,764.0 L 423.4,769.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 423.4,769.3 L 437.9,754.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 422.7,764.2 L 432.8,754.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 437.9,754.8 L 457.8,760.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-13 atom-11 atom-6\" d=\"M 432.6,734.9 L 437.9,754.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 457.8,760.1 L 472.3,745.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 457.0,755.0 L 467.2,744.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 472.3,745.5 L 467.0,725.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 467.0,725.7 L 447.1,720.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 462.9,728.9 L 449.0,725.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 447.1,720.4 L 432.6,734.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 432.6,734.9 L 412.7,729.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 428.6,738.1 L 414.7,734.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 361.2 753.3 Q 361.2 751.9, 361.8 751.2 Q 362.5 750.4, 363.8 750.4 Q 365.1 750.4, 365.8 751.2 Q 366.5 751.9, 366.5 753.3 Q 366.5 754.8, 365.8 755.6 Q 365.1 756.4, 363.8 756.4 Q 362.5 756.4, 361.8 755.6 Q 361.2 754.8, 361.2 753.3 M 363.8 755.7 Q 364.7 755.7, 365.2 755.1 Q 365.7 754.5, 365.7 753.3 Q 365.7 752.2, 365.2 751.6 Q 364.7 751.0, 363.8 751.0 Q 362.9 751.0, 362.5 751.6 Q 362.0 752.2, 362.0 753.3 Q 362.0 754.5, 362.5 755.1 Q 362.9 755.7, 363.8 755.7 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-2\" d=\"M 370.4 719.0 Q 370.4 717.6, 371.1 716.8 Q 371.7 716.0, 373.0 716.0 Q 374.3 716.0, 375.0 716.8 Q 375.7 717.6, 375.7 719.0 Q 375.7 720.4, 375.0 721.2 Q 374.3 722.0, 373.0 722.0 Q 371.8 722.0, 371.1 721.2 Q 370.4 720.4, 370.4 719.0 M 373.0 721.3 Q 373.9 721.3, 374.4 720.7 Q 374.9 720.1, 374.9 719.0 Q 374.9 717.8, 374.4 717.2 Q 373.9 716.7, 373.0 716.7 Q 372.2 716.7, 371.7 717.2 Q 371.2 717.8, 371.2 719.0 Q 371.2 720.1, 371.7 720.7 Q 372.2 721.3, 373.0 721.3 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-2\" d=\"M 376.0 716.9 L 378.0 716.9 L 378.0 717.4 L 376.0 717.4 L 376.0 716.9 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 387.5 831.5 Q 387.9 830.5, 388.9 829.9 Q 389.9 829.3, 391.3 829.3 Q 393.0 829.3, 394.0 830.2 Q 394.9 831.1, 394.9 832.8 Q 394.9 834.4, 393.7 836.0 Q 392.4 837.6, 389.9 839.4 L 395.1 839.4 L 395.1 840.7 L 387.5 840.7 L 387.5 839.6 Q 389.6 838.1, 390.8 837.0 Q 392.1 835.9, 392.7 834.9 Q 393.3 833.9, 393.3 832.8 Q 393.3 831.8, 392.8 831.2 Q 392.2 830.5, 391.3 830.5 Q 390.4 830.5, 389.8 830.9 Q 389.2 831.3, 388.7 832.1 L 387.5 831.5 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 400.5 828.3 L 401.8 828.3 L 401.8 843.8 L 400.5 843.8 L 400.5 828.3 \" fill=\"#000000\"/>\n",
@@ -11937,22 +12081,28 @@
        "<path d=\"M 444.0 829.4 L 450.7 829.4 L 450.7 830.7 L 445.5 830.7 L 445.5 834.1 L 450.2 834.1 L 450.2 835.4 L 445.5 835.4 L 445.5 839.4 L 450.9 839.4 L 450.9 840.7 L 444.0 840.7 L 444.0 829.4 \" fill=\"#000000\"/>\n",
        "<path d=\"M 451.4 828.6 L 452.5 828.6 L 452.5 832.0 L 451.4 832.0 L 451.4 828.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 456.3 828.3 L 456.3 843.8 L 452.9 843.8 L 452.9 842.7 L 454.9 842.7 L 454.9 829.5 L 452.9 829.5 L 452.9 828.3 L 456.3 828.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 548.6,749.9 L 568.8,746.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 568.8,746.9 L 576.4,727.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 573.7,745.6 L 579.0,732.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-1\" d=\"M 581.5,763.0 L 568.8,746.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 576.4,727.9 L 596.6,725.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 596.6,725.0 L 609.3,741.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 595.3,729.9 L 604.1,741.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 609.3,741.0 L 629.5,738.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-4 atom-7\" d=\"M 609.3,741.0 L 601.7,760.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 627.9,739.3 L 632.9,745.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 632.9,745.6 L 637.8,751.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 631.1,736.8 L 636.1,743.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 636.1,743.1 L 641.0,749.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 601.7,760.0 L 581.5,763.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 598.1,756.4 L 583.9,758.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-6\" d=\"M 639.5 754.1 Q 639.5 752.7, 640.2 751.9 Q 640.9 751.2, 642.2 751.2 Q 643.4 751.2, 644.1 751.9 Q 644.8 752.7, 644.8 754.1 Q 644.8 755.5, 644.1 756.3 Q 643.4 757.1, 642.2 757.1 Q 640.9 757.1, 640.2 756.3 Q 639.5 755.5, 639.5 754.1 M 642.2 756.5 Q 643.0 756.5, 643.5 755.9 Q 644.0 755.3, 644.0 754.1 Q 644.0 753.0, 643.5 752.4 Q 643.0 751.8, 642.2 751.8 Q 641.3 751.8, 640.8 752.4 Q 640.3 753.0, 640.3 754.1 Q 640.3 755.3, 640.8 755.9 Q 641.3 756.5, 642.2 756.5 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 555.7,725.4 L 560.5,731.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 560.5,731.9 L 565.3,738.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 559.0,723.0 L 563.8,729.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 563.8,729.5 L 568.6,736.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 567.0,737.2 L 564.4,745.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 564.4,745.3 L 561.9,753.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 587.5,737.0 L 567.0,737.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 563.5,758.7 L 570.5,763.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 570.5,763.7 L 577.5,768.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 577.5,768.7 L 594.0,756.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 594.0,756.5 L 614.2,760.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 597.9,753.1 L 612.0,756.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-4\" d=\"M 587.5,737.0 L 594.0,756.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 614.2,760.6 L 627.8,745.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 627.8,745.3 L 621.3,725.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 622.9,743.6 L 618.4,730.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 621.3,725.8 L 601.2,721.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 601.2,721.7 L 587.5,737.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 602.2,726.7 L 592.6,737.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 552.1 720.7 Q 552.1 719.3, 552.8 718.5 Q 553.5 717.7, 554.8 717.7 Q 556.1 717.7, 556.7 718.5 Q 557.4 719.3, 557.4 720.7 Q 557.4 722.1, 556.7 722.9 Q 556.0 723.7, 554.8 723.7 Q 553.5 723.7, 552.8 722.9 Q 552.1 722.1, 552.1 720.7 M 554.8 723.0 Q 555.7 723.0, 556.1 722.4 Q 556.6 721.8, 556.6 720.7 Q 556.6 719.5, 556.1 719.0 Q 555.7 718.4, 554.8 718.4 Q 553.9 718.4, 553.4 718.9 Q 552.9 719.5, 552.9 720.7 Q 552.9 721.8, 553.4 722.4 Q 553.9 723.0, 554.8 723.0 \" fill=\"#FF0000\"/>\n",
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@@ -11968,28 +12118,22 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 730.3,727.6 L 735.0,734.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 735.0,734.0 L 739.8,740.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 733.5,725.2 L 738.3,731.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 738.3,731.6 L 743.1,738.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 738.9,747.3 L 736.4,755.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 761.9,739.1 L 741.4,739.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 738.0,760.7 L 744.9,765.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 744.9,765.7 L 751.9,770.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 751.9,770.7 L 768.3,758.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 768.3,758.5 L 788.4,762.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 772.2,755.1 L 786.2,758.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-4\" d=\"M 761.9,739.1 L 768.3,758.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 788.4,762.6 L 801.9,747.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 801.9,747.3 L 795.5,727.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 797.1,745.7 L 792.6,732.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 795.5,727.9 L 775.4,723.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 775.4,723.8 L 761.9,739.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 776.5,728.8 L 767.0,739.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 726.6 722.9 Q 726.6 721.5, 727.3 720.7 Q 728.0 719.9, 729.3 719.9 Q 730.6 719.9, 731.3 720.7 Q 732.0 721.5, 732.0 722.9 Q 732.0 724.3, 731.3 725.1 Q 730.6 725.9, 729.3 725.9 Q 728.0 725.9, 727.3 725.1 Q 726.6 724.3, 726.6 722.9 M 729.3 725.2 Q 730.2 725.2, 730.7 724.6 Q 731.1 724.0, 731.1 722.9 Q 731.1 721.7, 730.7 721.1 Q 730.2 720.6, 729.3 720.6 Q 728.4 720.6, 727.9 721.1 Q 727.5 721.7, 727.5 722.9 Q 727.5 724.0, 727.9 724.6 Q 728.4 725.2, 729.3 725.2 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 727.9 755.9 L 728.7 755.9 L 728.7 758.3 L 731.6 758.3 L 731.6 755.9 L 732.4 755.9 L 732.4 761.7 L 731.6 761.7 L 731.6 759.0 L 728.7 759.0 L 728.7 761.7 L 727.9 761.7 L 727.9 755.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 734.0 755.9 L 735.9 758.9 Q 736.1 759.2, 736.4 759.8 Q 736.7 760.3, 736.7 760.4 L 736.7 755.9 L 737.5 755.9 L 737.5 761.7 L 736.7 761.7 L 734.6 758.3 Q 734.4 757.9, 734.2 757.5 Q 733.9 757.0, 733.8 756.9 L 733.8 761.7 L 733.1 761.7 L 733.1 755.9 L 734.0 755.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 714.0,747.8 L 734.3,744.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 734.3,744.9 L 741.9,725.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 741.9,725.8 L 762.3,722.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 762.3,722.8 L 775.0,738.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 775.0,738.9 L 795.3,736.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 767.4,758.0 L 747.1,761.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 763.8,754.4 L 749.5,756.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-6\" d=\"M 805.4 752.1 Q 805.4 750.7, 806.1 749.9 Q 806.8 749.1, 808.1 749.1 Q 809.4 749.1, 810.1 749.9 Q 810.7 750.7, 810.7 752.1 Q 810.7 753.5, 810.0 754.3 Q 809.3 755.1, 808.1 755.1 Q 806.8 755.1, 806.1 754.3 Q 805.4 753.5, 805.4 752.1 M 808.1 754.5 Q 809.0 754.5, 809.4 753.9 Q 809.9 753.3, 809.9 752.1 Q 809.9 750.9, 809.4 750.4 Q 809.0 749.8, 808.1 749.8 Q 807.2 749.8, 806.7 750.4 Q 806.2 750.9, 806.2 752.1 Q 806.2 753.3, 806.7 753.9 Q 807.2 754.5, 808.1 754.5 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 725.6 831.5 Q 726.0 830.5, 727.0 829.9 Q 728.0 829.3, 729.4 829.3 Q 731.1 829.3, 732.1 830.2 Q 733.0 831.1, 733.0 832.8 Q 733.0 834.4, 731.8 836.0 Q 730.5 837.6, 728.0 839.4 L 733.2 839.4 L 733.2 840.7 L 725.6 840.7 L 725.6 839.6 Q 727.7 838.1, 728.9 837.0 Q 730.2 835.9, 730.8 834.9 Q 731.4 833.9, 731.4 832.8 Q 731.4 831.8, 730.9 831.2 Q 730.3 830.5, 729.4 830.5 Q 728.5 830.5, 727.9 830.9 Q 727.3 831.3, 726.8 832.1 L 725.6 831.5 \" fill=\"#000000\"/>\n",
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        "<path d=\"M 738.6 828.3 L 739.9 828.3 L 739.9 843.8 L 738.6 843.8 L 738.6 828.3 \" fill=\"#000000\"/>\n",
@@ -12005,212 +12149,175 @@
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        "<path d=\"M 793.1 828.6 L 794.3 828.6 L 794.3 832.0 L 793.1 832.0 L 793.1 828.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 798.0 828.3 L 798.0 843.8 L 794.6 843.8 L 794.6 842.7 L 796.7 842.7 L 796.7 829.5 L 794.6 829.5 L 794.6 828.3 L 798.0 828.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 966.3,729.9 L 962.2,737.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 962.2,737.0 L 958.1,744.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 969.9,731.9 L 965.8,739.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 965.8,739.0 L 961.7,746.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 959.9,745.1 L 964.0,752.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 964.0,752.2 L 968.2,759.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-1 atom-3\" d=\"M 959.9,745.1 L 939.5,745.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 939.5,745.1 L 929.3,762.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 929.3,762.8 L 908.8,762.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 910.8,758.1 L 903.7,745.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 898.6,745.1 L 908.8,727.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 908.8,727.4 L 929.3,727.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 911.9,731.5 L 926.2,731.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 399.2 998.3 L 400.5 998.3 L 400.5 1013.8 L 399.2 1013.8 L 399.2 998.3 \" fill=\"#000000\"/>\n",
@@ -12226,157 +12333,114 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 544.4,904.2 L 563.4,911.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 563.4,911.6 L 566.6,931.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 567.9,914.0 L 570.2,928.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 579.3,898.7 L 563.4,911.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 566.6,931.7 L 585.7,939.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 585.7,939.1 L 601.6,926.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 585.5,934.0 L 596.6,925.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 601.6,926.3 L 609.8,929.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 609.8,929.4 L 617.9,932.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 598.4,906.1 L 601.6,926.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 623.3,931.5 L 629.9,926.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 629.9,926.1 L 636.5,920.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 622.8,926.7 L 627.4,922.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 627.4,922.9 L 632.0,919.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 636.5,920.8 L 633.4,900.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 633.4,900.6 L 614.3,893.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 629.1,903.3 L 615.7,898.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 614.3,893.2 L 598.4,906.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 598.4,906.1 L 579.3,898.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 594.1,908.8 L 580.7,903.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-5\" d=\"M 619.4 930.7 L 621.3 933.8 Q 621.4 934.1, 621.7 934.7 Q 622.1 935.2, 622.1 935.2 L 622.1 930.7 L 622.8 930.7 L 622.8 936.5 L 622.0 936.5 L 620.0 933.2 Q 619.8 932.8, 619.5 932.3 Q 619.3 931.9, 619.2 931.7 L 619.2 936.5 L 618.4 936.5 L 618.4 930.7 L 619.4 930.7 \" fill=\"#0000FF\"/>\n",
-       "<path d=\"M 561.7 1004.8 Q 562.8 1005.1, 563.3 1005.8 Q 563.8 1006.5, 563.8 1007.6 Q 563.8 1008.6, 563.4 1009.3 Q 562.9 1010.1, 562.0 1010.5 Q 561.1 1010.9, 560.0 1010.9 Q 558.7 1010.9, 557.8 1010.5 Q 556.9 1010.0, 556.2 1009.2 L 557.1 1008.2 Q 557.8 1009.0, 558.4 1009.3 Q 559.0 1009.6, 560.0 1009.6 Q 561.0 1009.6, 561.6 1009.1 Q 562.2 1008.5, 562.2 1007.6 Q 562.2 1006.4, 561.6 1005.9 Q 560.9 1005.4, 559.5 1005.4 L 558.7 1005.4 L 558.7 1004.3 L 559.4 1004.3 Q 560.7 1004.2, 561.3 1003.7 Q 562.0 1003.2, 562.0 1002.2 Q 562.0 1001.4, 561.4 1001.0 Q 560.9 1000.5, 560.0 1000.5 Q 559.0 1000.5, 558.4 1000.9 Q 557.9 1001.2, 557.4 1002.1 L 556.3 1001.5 Q 556.7 1000.5, 557.7 999.9 Q 558.6 999.3, 560.0 999.3 Q 561.6 999.3, 562.6 1000.0 Q 563.6 1000.8, 563.6 1002.2 Q 563.6 1003.1, 563.1 1003.7 Q 562.6 1004.4, 561.7 1004.8 \" fill=\"#000000\"/>\n",
-       "<path d=\"\" fill=\"#000000\"/>\n",
-       "<path d=\"M 569.2 998.3 L 570.5 998.3 L 570.5 1013.8 L 569.2 1013.8 L 569.2 998.3 \" fill=\"#000000\"/>\n",
-       "<path d=\"\" fill=\"#000000\"/>\n",
-       "<path d=\"M 576.0 1009.4 L 578.5 1009.4 L 578.5 1001.0 L 575.8 1001.8 L 575.4 1000.9 L 578.9 999.3 L 580.0 999.5 L 580.0 1009.4 L 582.2 1009.4 L 582.2 1010.7 L 576.0 1010.7 L 576.0 1009.4 \" fill=\"#000000\"/>\n",
-       "<path d=\"\" fill=\"#000000\"/>\n",
-       "<path d=\"M 587.6 998.3 L 588.9 998.3 L 588.9 1013.8 L 587.6 1013.8 L 587.6 998.3 \" fill=\"#000000\"/>\n",
-       "<path d=\"\" fill=\"#000000\"/>\n",
-       "<path d=\"\" fill=\"#000000\"/>\n",
-       "<path d=\"M 598.3 998.3 L 601.7 998.3 L 601.7 999.5 L 599.6 999.5 L 599.6 1012.7 L 601.7 1012.7 L 601.7 1013.8 L 598.3 1013.8 L 598.3 998.3 \" fill=\"#000000\"/>\n",
-       "<path d=\"M 602.2 998.6 L 603.3 998.6 L 603.3 1002.0 L 602.2 1002.0 L 602.2 998.6 \" fill=\"#000000\"/>\n",
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-       "<path d=\"M 622.4 998.6 L 623.6 998.6 L 623.6 1002.0 L 622.4 1002.0 L 622.4 998.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 739.8,886.4 L 741.7,894.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 741.7,894.6 L 743.5,902.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 743.8,885.5 L 745.6,893.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 745.6,893.7 L 747.5,901.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 745.5,902.4 L 739.4,908.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 739.4,908.1 L 733.2,913.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 765.1,908.4 L 745.5,902.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 731.3,919.7 L 733.2,927.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 733.2,927.9 L 735.1,936.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 735.1,936.2 L 743.5,938.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 743.5,938.8 L 751.9,941.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 738.8,933.1 L 744.7,934.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 744.7,934.9 L 750.6,936.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 757.3,939.7 L 763.5,934.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 763.5,934.0 L 769.6,928.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 769.6,928.3 L 789.1,934.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 773.7,925.3 L 787.4,929.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 765.1,908.4 L 769.6,928.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 789.1,934.3 L 804.1,920.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 804.1,920.4 L 799.6,900.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 799.5,918.4 L 796.3,904.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 799.6,900.5 L 780.0,894.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 780.0,894.5 L 765.1,908.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 780.6,899.6 L 770.1,909.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 738.3 882.4 Q 738.3 881.1, 739.0 880.3 Q 739.7 879.5, 741.0 879.5 Q 742.3 879.5, 743.0 880.3 Q 743.6 881.1, 743.6 882.4 Q 743.6 883.9, 742.9 884.7 Q 742.2 885.4, 741.0 885.4 Q 739.7 885.4, 739.0 884.7 Q 738.3 883.9, 738.3 882.4 M 741.0 884.8 Q 741.9 884.8, 742.3 884.2 Q 742.8 883.6, 742.8 882.4 Q 742.8 881.3, 742.3 880.7 Q 741.9 880.2, 741.0 880.2 Q 740.1 880.2, 739.6 880.7 Q 739.1 881.3, 739.1 882.4 Q 739.1 883.6, 739.6 884.2 Q 740.1 884.8, 741.0 884.8 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-2\" d=\"M 723.1 913.4 L 723.9 913.4 L 723.9 915.8 L 726.9 915.8 L 726.9 913.4 L 727.7 913.4 L 727.7 919.2 L 726.9 919.2 L 726.9 916.5 L 723.9 916.5 L 723.9 919.2 L 723.1 919.2 L 723.1 913.4 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1037.4,918.7 L 1057.8,915.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1057.8,915.9 L 1065.5,896.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-1\" d=\"M 1070.4,932.1 L 1057.8,915.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1065.5,896.9 L 1085.9,894.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-9 atom-4 atom-10\" d=\"M 1097.1,913.7 L 1093.9,921.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1131.5,923.8 L 1151.8,921.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1151.8,921.0 L 1160.6,919.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1162.5,923.7 L 1170.0,922.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1153.9,916.5 L 1161.4,915.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1161.4,915.5 L 1168.9,914.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 1090.7,929.3 L 1070.4,932.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-4\" d=\"M 1097.2 907.4 L 1099.1 910.5 Q 1099.3 910.8, 1099.6 911.3 Q 1099.9 911.9, 1099.9 911.9 L 1099.9 907.4 L 1100.7 907.4 L 1100.7 913.2 L 1099.9 913.2 L 1097.9 909.9 Q 1097.6 909.5, 1097.4 909.0 Q 1097.1 908.6, 1097.0 908.4 L 1097.0 913.2 L 1096.3 913.2 L 1096.3 907.4 L 1097.2 907.4 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 1124.0 888.5 Q 1124.0 887.1, 1124.6 886.3 Q 1125.3 885.6, 1126.6 885.6 Q 1127.9 885.6, 1128.6 886.3 Q 1129.3 887.1, 1129.3 888.5 Q 1129.3 889.9, 1128.6 890.7 Q 1127.9 891.5, 1126.6 891.5 Q 1125.3 891.5, 1124.6 890.7 Q 1124.0 889.9, 1124.0 888.5 M 1126.6 890.9 Q 1127.5 890.9, 1128.0 890.3 Q 1128.5 889.7, 1128.5 888.5 Q 1128.5 887.4, 1128.0 886.8 Q 1127.5 886.2, 1126.6 886.2 Q 1125.7 886.2, 1125.2 886.8 Q 1124.8 887.4, 1124.8 888.5 Q 1124.8 889.7, 1125.2 890.3 Q 1125.7 890.9, 1126.6 890.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-9\" d=\"M 1170.9 915.3 L 1172.8 918.4 Q 1173.0 918.7, 1173.3 919.2 Q 1173.6 919.8, 1173.6 919.8 L 1173.6 915.3 L 1174.4 915.3 L 1174.4 921.1 L 1173.6 921.1 L 1171.5 917.7 Q 1171.3 917.3, 1171.0 916.9 Q 1170.8 916.4, 1170.7 916.3 L 1170.7 921.1 L 1170.0 921.1 L 1170.0 915.3 L 1170.9 915.3 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 1072.7 1004.8 Q 1073.8 1005.1, 1074.3 1005.8 Q 1074.8 1006.5, 1074.8 1007.6 Q 1074.8 1008.6, 1074.3 1009.3 Q 1073.9 1010.1, 1073.0 1010.5 Q 1072.1 1010.9, 1071.0 1010.9 Q 1069.7 1010.9, 1068.8 1010.5 Q 1067.9 1010.0, 1067.2 1009.2 L 1068.1 1008.2 Q 1068.8 1009.0, 1069.4 1009.3 Q 1070.0 1009.6, 1071.0 1009.6 Q 1072.0 1009.6, 1072.6 1009.1 Q 1073.2 1008.5, 1073.2 1007.6 Q 1073.2 1006.4, 1072.6 1005.9 Q 1071.9 1005.4, 1070.5 1005.4 L 1069.7 1005.4 L 1069.7 1004.3 L 1070.4 1004.3 Q 1071.7 1004.2, 1072.3 1003.7 Q 1073.0 1003.2, 1073.0 1002.2 Q 1073.0 1001.4, 1072.4 1001.0 Q 1071.9 1000.5, 1071.0 1000.5 Q 1070.0 1000.5, 1069.4 1000.9 Q 1068.9 1001.2, 1068.4 1002.1 L 1067.3 1001.5 Q 1067.7 1000.5, 1068.7 999.9 Q 1069.6 999.3, 1071.0 999.3 Q 1072.6 999.3, 1073.6 1000.0 Q 1074.6 1000.8, 1074.6 1002.2 Q 1074.6 1003.1, 1074.1 1003.7 Q 1073.6 1004.4, 1072.7 1004.8 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1080.2 998.3 L 1081.5 998.3 L 1081.5 1013.8 L 1080.2 1013.8 L 1080.2 998.3 \" fill=\"#000000\"/>\n",
@@ -12392,31 +12456,24 @@
        "<path d=\"M 1127.1 999.4 Q 1129.1 999.4, 1130.0 1000.3 Q 1131.0 1001.1, 1131.0 1002.7 Q 1131.0 1004.3, 1130.0 1005.2 Q 1129.0 1006.1, 1127.1 1006.1 L 1125.3 1006.1 L 1125.3 1010.7 L 1123.8 1010.7 L 1123.8 999.4 L 1127.1 999.4 M 1127.1 1004.8 Q 1128.2 1004.8, 1128.8 1004.3 Q 1129.4 1003.7, 1129.4 1002.7 Q 1129.4 1001.7, 1128.8 1001.2 Q 1128.3 1000.7, 1127.1 1000.7 L 1125.3 1000.7 L 1125.3 1004.8 L 1127.1 1004.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1131.5 998.6 L 1132.7 998.6 L 1132.7 1002.0 L 1131.5 1002.0 L 1131.5 998.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1136.4 998.3 L 1136.4 1013.8 L 1133.0 1013.8 L 1133.0 1012.7 L 1135.0 1012.7 L 1135.0 999.5 L 1133.0 999.5 L 1133.0 998.3 L 1136.4 998.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 51.9,1066.4 L 55.5,1071.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 55.5,1071.2 L 59.0,1076.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 60.4,1082.7 L 57.8,1090.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 57.8,1090.7 L 55.3,1098.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 81.9,1079.1 L 73.0,1079.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 73.0,1079.2 L 64.1,1079.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 55.3,1098.8 L 71.9,1110.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 60.1,1097.2 L 71.8,1105.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 71.9,1110.7 L 88.3,1098.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 88.3,1098.5 L 97.0,1100.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 97.0,1100.3 L 105.7,1102.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 91.8,1095.0 L 97.8,1096.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 97.8,1096.3 L 103.9,1097.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-4\" d=\"M 81.9,1079.1 L 88.3,1098.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 111.1,1099.6 L 116.5,1093.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 116.5,1093.4 L 121.9,1087.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 117.1,1085.7 L 112.6,1072.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 115.5,1067.9 L 95.4,1063.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 95.4,1063.8 L 81.9,1079.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 96.5,1068.8 L 87.0,1079.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 41.7 1060.0 L 42.5 1060.0 L 42.5 1062.4 L 45.4 1062.4 L 45.4 1060.0 L 46.2 1060.0 L 46.2 1065.8 L 45.4 1065.8 L 45.4 1063.1 L 42.5 1063.1 L 42.5 1065.8 L 41.7 1065.8 L 41.7 1060.0 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-0\" d=\"M 46.6 1062.9 Q 46.6 1061.5, 47.3 1060.7 Q 48.0 1059.9, 49.3 1059.9 Q 50.6 1059.9, 51.3 1060.7 Q 52.0 1061.5, 52.0 1062.9 Q 52.0 1064.3, 51.3 1065.1 Q 50.6 1065.9, 49.3 1065.9 Q 48.0 1065.9, 47.3 1065.1 Q 46.6 1064.3, 46.6 1062.9 M 49.3 1065.2 Q 50.2 1065.2, 50.7 1064.6 Q 51.1 1064.0, 51.1 1062.9 Q 51.1 1061.7, 50.7 1061.1 Q 50.2 1060.6, 49.3 1060.6 Q 48.4 1060.6, 47.9 1061.1 Q 47.5 1061.7, 47.5 1062.9 Q 47.5 1064.0, 47.9 1064.6 Q 48.4 1065.2, 49.3 1065.2 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-1\" d=\"M 60.2 1076.4 L 62.1 1079.5 Q 62.2 1079.8, 62.5 1080.3 Q 62.9 1080.9, 62.9 1080.9 L 62.9 1076.4 L 63.6 1076.4 L 63.6 1082.2 L 62.8 1082.2 L 60.8 1078.8 Q 60.6 1078.4, 60.3 1078.0 Q 60.1 1077.5, 60.0 1077.4 L 60.0 1082.2 L 59.2 1082.2 L 59.2 1076.4 L 60.2 1076.4 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-5\" d=\"M 107.1 1099.7 L 109.0 1102.8 Q 109.2 1103.1, 109.5 1103.6 Q 109.8 1104.2, 109.8 1104.2 L 109.8 1099.7 L 110.6 1099.7 L 110.6 1105.5 L 109.8 1105.5 L 107.7 1102.2 Q 107.5 1101.8, 107.2 1101.3 Q 107.0 1100.9, 106.9 1100.7 L 106.9 1105.5 L 106.2 1105.5 L 106.2 1099.7 L 107.1 1099.7 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 101.2,1051.1 L 92.9,1053.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 92.9,1053.4 L 84.6,1055.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 102.3,1055.1 L 94.0,1057.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 94.0,1057.4 L 85.7,1059.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 85.1,1057.7 L 83.0,1065.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 83.0,1065.9 L 80.9,1074.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 77.2,1078.3 L 68.7,1080.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 68.7,1080.7 L 60.2,1083.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-2 atom-6\" d=\"M 82.7,1080.3 L 88.6,1086.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-2 atom-6\" d=\"M 88.6,1086.1 L 94.6,1092.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 60.2,1083.1 L 45.7,1097.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-5 atom-3\" d=\"M 40.3,1077.9 L 60.2,1083.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 45.7,1097.7 L 40.3,1077.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 94.6,1092.0 L 114.5,1097.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-8 atom-6\" d=\"M 100.1,1111.8 L 94.6,1092.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 114.5,1097.2 L 100.1,1111.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 102.3 1052.2 Q 102.3 1050.9, 103.0 1050.1 Q 103.7 1049.3, 104.9 1049.3 Q 106.2 1049.3, 106.9 1050.1 Q 107.6 1050.9, 107.6 1052.2 Q 107.6 1053.7, 106.9 1054.5 Q 106.2 1055.3, 104.9 1055.3 Q 103.7 1055.3, 103.0 1054.5 Q 102.3 1053.7, 102.3 1052.2 M 104.9 1054.6 Q 105.8 1054.6, 106.3 1054.0 Q 106.8 1053.4, 106.8 1052.2 Q 106.8 1051.1, 106.3 1050.5 Q 105.8 1049.9, 104.9 1049.9 Q 104.1 1049.9, 103.6 1050.5 Q 103.1 1051.1, 103.1 1052.2 Q 103.1 1053.4, 103.6 1054.0 Q 104.1 1054.6, 104.9 1054.6 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-2\" d=\"M 78.7 1074.7 L 80.6 1077.8 Q 80.8 1078.1, 81.1 1078.6 Q 81.4 1079.2, 81.4 1079.2 L 81.4 1074.7 L 82.2 1074.7 L 82.2 1080.5 L 81.4 1080.5 L 79.3 1077.1 Q 79.1 1076.7, 78.8 1076.3 Q 78.6 1075.8, 78.5 1075.7 L 78.5 1080.5 L 77.8 1080.5 L 77.8 1074.7 L 78.7 1074.7 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 52.7 1174.8 Q 53.8 1175.1, 54.3 1175.8 Q 54.8 1176.5, 54.8 1177.6 Q 54.8 1178.6, 54.3 1179.3 Q 53.9 1180.1, 53.0 1180.5 Q 52.1 1180.9, 51.0 1180.9 Q 49.7 1180.9, 48.8 1180.5 Q 47.9 1180.0, 47.2 1179.2 L 48.1 1178.2 Q 48.8 1179.0, 49.4 1179.3 Q 50.0 1179.6, 51.0 1179.6 Q 52.0 1179.6, 52.6 1179.1 Q 53.2 1178.5, 53.2 1177.6 Q 53.2 1176.4, 52.6 1175.9 Q 51.9 1175.4, 50.5 1175.4 L 49.7 1175.4 L 49.7 1174.3 L 50.4 1174.3 Q 51.7 1174.2, 52.3 1173.7 Q 53.0 1173.2, 53.0 1172.2 Q 53.0 1171.4, 52.4 1171.0 Q 51.9 1170.5, 51.0 1170.5 Q 50.0 1170.5, 49.4 1170.9 Q 48.9 1171.2, 48.4 1172.1 L 47.3 1171.5 Q 47.7 1170.5, 48.7 1169.9 Q 49.6 1169.3, 51.0 1169.3 Q 52.6 1169.3, 53.6 1170.0 Q 54.6 1170.8, 54.6 1172.2 Q 54.6 1173.1, 54.1 1173.7 Q 53.6 1174.4, 52.7 1174.8 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 60.2 1168.3 L 61.5 1168.3 L 61.5 1183.8 L 60.2 1183.8 L 60.2 1168.3 \" fill=\"#000000\"/>\n",
@@ -12432,400 +12489,343 @@
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        "<path d=\"M 111.5 1168.6 L 112.7 1168.6 L 112.7 1172.0 L 111.5 1172.0 L 111.5 1168.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 116.4 1168.3 L 116.4 1183.8 L 113.0 1183.8 L 113.0 1182.7 L 115.0 1182.7 L 115.0 1169.5 L 113.0 1169.5 L 113.0 1168.3 L 116.4 1168.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 223.5,1095.3 L 223.5,1086.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 223.5,1086.8 L 223.5,1078.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 227.6,1092.8 L 227.6,1086.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 227.6,1086.8 L 227.6,1080.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 238.5,1104.0 L 231.0,1099.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 231.0,1099.6 L 223.5,1095.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 226.2,1073.3 L 233.7,1069.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 233.7,1069.0 L 241.2,1064.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 241.2,1064.6 L 258.9,1074.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 241.8,1069.7 L 254.2,1076.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 258.9,1074.9 L 278.4,1068.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-7 atom-3\" d=\"M 258.9,1095.3 L 258.9,1074.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 278.4,1068.6 L 290.4,1085.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 276.9,1073.4 L 285.3,1085.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 290.4,1085.1 L 285.6,1091.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 285.6,1091.7 L 280.8,1098.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 275.7,1100.7 L 267.3,1098.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 267.3,1098.0 L 258.9,1095.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 258.9,1095.3 L 251.4,1099.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 254.6,1093.1 L 249.4,1096.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 249.4,1096.1 L 244.1,1099.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 222.2 1072.0 L 224.1 1075.0 Q 224.3 1075.3, 224.6 1075.9 Q 224.9 1076.4, 224.9 1076.5 L 224.9 1072.0 L 225.7 1072.0 L 225.7 1077.8 L 224.9 1077.8 L 222.9 1074.4 Q 222.6 1074.0, 222.4 1073.6 Q 222.1 1073.1, 222.1 1073.0 L 222.1 1077.8 L 221.3 1077.8 L 221.3 1072.0 L 222.2 1072.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-6\" d=\"M 277.1 1098.7 L 279.0 1101.8 Q 279.2 1102.1, 279.5 1102.6 Q 279.8 1103.2, 279.8 1103.2 L 279.8 1098.7 L 280.6 1098.7 L 280.6 1104.5 L 279.8 1104.5 L 277.7 1101.2 Q 277.5 1100.8, 277.2 1100.3 Q 277.0 1099.9, 276.9 1099.7 L 276.9 1104.5 L 276.2 1104.5 L 276.2 1098.7 L 277.1 1098.7 \" fill=\"#0000FF\"/>\n",
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@@ -12841,20 +12841,30 @@
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-       "<path class=\"atom-5\" d=\"M 917.6 1234.5 L 919.5 1237.6 Q 919.7 1237.9, 920.0 1238.4 Q 920.3 1239.0, 920.3 1239.0 L 920.3 1234.5 L 921.1 1234.5 L 921.1 1240.3 L 920.3 1240.3 L 918.2 1236.9 Q 918.0 1236.5, 917.8 1236.1 Q 917.5 1235.6, 917.4 1235.5 L 917.4 1240.3 L 916.7 1240.3 L 916.7 1234.5 L 917.6 1234.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 880.1,1257.5 L 888.2,1260.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 888.2,1260.3 L 896.3,1263.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 902.7,1261.5 L 908.9,1256.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 908.9,1256.1 L 915.1,1250.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 915.1,1250.8 L 911.2,1230.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 918.5,1247.0 L 915.8,1232.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-9 atom-2\" d=\"M 934.5,1257.5 L 915.1,1250.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 911.2,1230.6 L 926.7,1217.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 926.7,1217.1 L 946.1,1223.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 928.3,1222.0 L 941.9,1226.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 946.1,1223.9 L 950.0,1244.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 950.0,1244.1 L 958.1,1246.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 958.1,1246.9 L 966.2,1249.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-6 atom-9\" d=\"M 950.0,1244.1 L 934.5,1257.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-6 atom-9\" d=\"M 945.0,1243.0 L 934.1,1252.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 970.1,1254.3 L 971.7,1262.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 971.7,1262.6 L 973.3,1271.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 934.5,1257.5 L 936.1,1265.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 936.1,1265.9 L 937.7,1274.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 935.2,1280.5 L 929.0,1285.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 929.0,1285.8 L 922.8,1291.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 896.9 1264.3 Q 896.9 1262.9, 897.5 1262.1 Q 898.2 1261.3, 899.5 1261.3 Q 900.8 1261.3, 901.5 1262.1 Q 902.2 1262.9, 902.2 1264.3 Q 902.2 1265.7, 901.5 1266.5 Q 900.8 1267.3, 899.5 1267.3 Q 898.2 1267.3, 897.5 1266.5 Q 896.9 1265.7, 896.9 1264.3 M 899.5 1266.6 Q 900.4 1266.6, 900.9 1266.0 Q 901.4 1265.4, 901.4 1264.3 Q 901.4 1263.1, 900.9 1262.5 Q 900.4 1262.0, 899.5 1262.0 Q 898.6 1262.0, 898.2 1262.5 Q 897.7 1263.1, 897.7 1264.3 Q 897.7 1265.4, 898.2 1266.0 Q 898.6 1266.6, 899.5 1266.6 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-7\" d=\"M 966.8 1250.8 Q 966.8 1249.4, 967.5 1248.6 Q 968.1 1247.8, 969.4 1247.8 Q 970.7 1247.8, 971.4 1248.6 Q 972.1 1249.4, 972.1 1250.8 Q 972.1 1252.2, 971.4 1253.0 Q 970.7 1253.8, 969.4 1253.8 Q 968.2 1253.8, 967.5 1253.0 Q 966.8 1252.2, 966.8 1250.8 M 969.4 1253.2 Q 970.3 1253.2, 970.8 1252.6 Q 971.3 1252.0, 971.3 1250.8 Q 971.3 1249.7, 970.8 1249.1 Q 970.3 1248.5, 969.4 1248.5 Q 968.5 1248.5, 968.1 1249.1 Q 967.6 1249.6, 967.6 1250.8 Q 967.6 1252.0, 968.1 1252.6 Q 968.5 1253.2, 969.4 1253.2 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-10\" d=\"M 935.7 1277.7 Q 935.7 1276.3, 936.4 1275.5 Q 937.1 1274.7, 938.4 1274.7 Q 939.7 1274.7, 940.3 1275.5 Q 941.0 1276.3, 941.0 1277.7 Q 941.0 1279.1, 940.3 1279.9 Q 939.6 1280.7, 938.4 1280.7 Q 937.1 1280.7, 936.4 1279.9 Q 935.7 1279.1, 935.7 1277.7 M 938.4 1280.1 Q 939.3 1280.1, 939.7 1279.5 Q 940.2 1278.9, 940.2 1277.7 Q 940.2 1276.6, 939.7 1276.0 Q 939.3 1275.4, 938.4 1275.4 Q 937.5 1275.4, 937.0 1276.0 Q 936.5 1276.6, 936.5 1277.7 Q 936.5 1278.9, 937.0 1279.5 Q 937.5 1280.1, 938.4 1280.1 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 903.9 1346.8 L 905.2 1346.8 L 905.2 1348.1 L 903.9 1348.1 L 903.9 1350.7 L 902.4 1350.7 L 902.4 1348.1 L 896.5 1348.1 L 896.5 1347.1 L 901.5 1339.4 L 903.9 1339.4 L 903.9 1346.8 M 898.4 1346.8 L 902.4 1346.8 L 902.4 1340.4 L 898.4 1346.8 \" fill=\"#000000\"/>\n",
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        "<path d=\"M 910.6 1338.3 L 911.9 1338.3 L 911.9 1353.8 L 910.6 1353.8 L 910.6 1338.3 \" fill=\"#000000\"/>\n",
@@ -12870,23 +12880,28 @@
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        "<path d=\"M 961.5 1338.6 L 962.6 1338.6 L 962.6 1342.0 L 961.5 1342.0 L 961.5 1338.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 966.4 1338.3 L 966.4 1353.8 L 963.0 1353.8 L 963.0 1352.7 L 965.0 1352.7 L 965.0 1339.5 L 963.0 1339.5 L 963.0 1338.3 L 966.4 1338.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1137.2,1255.1 L 1128.4,1255.1\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1128.4,1255.1 L 1119.5,1255.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1119.5,1255.1 L 1109.3,1272.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1114.5,1255.7 L 1107.3,1268.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-1\" d=\"M 1111.3,1240.8 L 1115.4,1247.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-1\" d=\"M 1115.4,1247.9 L 1119.5,1255.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1109.3,1272.8 L 1088.9,1272.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1088.9,1272.8 L 1078.7,1255.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1090.9,1268.1 L 1083.7,1255.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1078.7,1255.1 L 1088.9,1237.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1088.9,1237.4 L 1097.7,1237.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1097.7,1237.4 L 1106.6,1237.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1091.5,1241.5 L 1097.7,1241.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1097.7,1241.5 L 1103.9,1241.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1137.7 1255.3 Q 1137.7 1253.8, 1138.4 1253.1 Q 1139.1 1252.3, 1140.4 1252.3 Q 1141.6 1252.3, 1142.2 1253.2 L 1141.7 1253.6 Q 1141.2 1253.0, 1140.4 1253.0 Q 1139.5 1253.0, 1139.0 1253.6 Q 1138.6 1254.2, 1138.6 1255.3 Q 1138.6 1256.4, 1139.1 1257.0 Q 1139.5 1257.6, 1140.5 1257.6 Q 1141.1 1257.6, 1141.8 1257.2 L 1142.1 1257.8 Q 1141.8 1258.0, 1141.3 1258.2 Q 1140.9 1258.3, 1140.4 1258.3 Q 1139.1 1258.3, 1138.4 1257.5 Q 1137.7 1256.7, 1137.7 1255.3 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-0\" d=\"M 1142.9 1252.0 L 1143.7 1252.0 L 1143.7 1258.2 L 1142.9 1258.2 L 1142.9 1252.0 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-6\" d=\"M 1108.0 1234.5 L 1109.9 1237.6 Q 1110.1 1237.9, 1110.4 1238.4 Q 1110.7 1239.0, 1110.7 1239.0 L 1110.7 1234.5 L 1111.5 1234.5 L 1111.5 1240.3 L 1110.7 1240.3 L 1108.7 1236.9 Q 1108.4 1236.5, 1108.2 1236.1 Q 1107.9 1235.6, 1107.9 1235.5 L 1107.9 1240.3 L 1107.1 1240.3 L 1107.1 1234.5 L 1108.0 1234.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1054.8,1232.5 L 1059.5,1239.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1059.5,1239.2 L 1064.1,1245.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1069.7,1249.1 L 1078.4,1248.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1078.4,1248.4 L 1087.0,1247.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1087.0,1247.7 L 1095.8,1229.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1092.1,1246.6 L 1098.2,1233.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-8 atom-2\" d=\"M 1098.8,1264.5 L 1087.0,1247.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1095.8,1229.1 L 1116.2,1227.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1116.2,1227.3 L 1128.0,1244.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1114.6,1232.2 L 1122.8,1244.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1128.0,1244.2 L 1137.1,1243.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1137.1,1243.5 L 1146.2,1242.7\" style=\"fill:none;fill-rule:evenodd;stroke:#33CCCC;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 1128.0,1244.2 L 1119.2,1262.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1119.2,1262.8 L 1098.8,1264.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1115.8,1259.0 L 1101.5,1260.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1098.8,1264.5 L 1095.2,1272.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1092.5,1286.7 L 1097.1,1293.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1097.1,1293.4 L 1101.7,1300.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 432.6,1579.5 L 440.0,1584.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 445.4,1584.6 L 453.6,1581.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 453.6,1581.3 L 461.7,1577.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-9 atom-5\" d=\"M 444.0,1602.8 L 442.9,1589.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 461.7,1577.9 L 475.0,1593.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 460.6,1583.0 L 469.9,1593.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 475.0,1593.6 L 464.2,1611.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 464.2,1611.1 L 455.6,1609.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 455.6,1609.0 L 447.0,1606.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 462.6,1606.5 L 456.6,1605.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 456.6,1605.0 L 450.5,1603.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 406.5,1605.2 L 388.4,1615.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 401.8,1603.1 L 389.2,1609.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-5\" d=\"M 441.4 1582.8 L 443.3 1585.9 Q 443.5 1586.2, 443.8 1586.8 Q 444.1 1587.3, 444.1 1587.4 L 444.1 1582.8 L 444.9 1582.8 L 444.9 1588.7 L 444.1 1588.7 L 442.1 1585.3 Q 441.8 1584.9, 441.6 1584.4 Q 441.3 1584.0, 441.2 1583.9 L 441.2 1588.7 L 440.5 1588.7 L 440.5 1582.8 L 441.4 1582.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-9\" d=\"M 443.0 1603.3 L 444.9 1606.4 Q 445.0 1606.7, 445.4 1607.3 Q 445.7 1607.8, 445.7 1607.9 L 445.7 1603.3 L 446.4 1603.3 L 446.4 1609.2 L 445.6 1609.2 L 443.6 1605.8 Q 443.4 1605.4, 443.1 1604.9 Q 442.9 1604.5, 442.8 1604.3 L 442.8 1609.2 L 442.0 1609.2 L 442.0 1603.3 L 443.0 1603.3 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 391.3 1683.6 Q 392.3 1683.6, 393.1 1684.1 Q 393.9 1684.5, 394.4 1685.3 Q 394.9 1686.1, 394.9 1687.1 Q 394.9 1688.3, 394.3 1689.2 Q 393.7 1690.0, 392.8 1690.4 Q 391.9 1690.8, 390.8 1690.8 Q 389.8 1690.8, 388.8 1690.5 Q 387.9 1690.1, 387.2 1689.3 L 388.2 1688.4 Q 388.7 1688.9, 389.4 1689.2 Q 390.1 1689.6, 390.9 1689.6 Q 391.9 1689.6, 392.6 1688.9 Q 393.3 1688.3, 393.3 1687.2 Q 393.3 1686.0, 392.6 1685.4 Q 391.9 1684.8, 390.8 1684.8 Q 389.8 1684.8, 388.7 1685.3 L 387.8 1684.8 L 388.3 1679.4 L 394.2 1679.4 L 394.0 1680.7 L 389.6 1680.7 L 389.3 1684.0 Q 390.3 1683.6, 391.3 1683.6 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 400.2 1678.3 L 401.6 1678.3 L 401.6 1693.8 L 400.2 1693.8 L 400.2 1678.3 \" fill=\"#000000\"/>\n",
@@ -13236,22 +13289,34 @@
        "<path d=\"M 447.2 1679.4 Q 449.1 1679.4, 450.1 1680.3 Q 451.1 1681.1, 451.1 1682.7 Q 451.1 1684.3, 450.0 1685.2 Q 449.1 1686.1, 447.2 1686.1 L 445.4 1686.1 L 445.4 1690.7 L 443.8 1690.7 L 443.8 1679.4 L 447.2 1679.4 M 447.2 1684.8 Q 448.3 1684.8, 448.9 1684.3 Q 449.5 1683.7, 449.5 1682.7 Q 449.5 1681.7, 448.9 1681.2 Q 448.3 1680.7, 447.2 1680.7 L 445.4 1680.7 L 445.4 1684.8 L 447.2 1684.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 451.5 1678.6 L 452.7 1678.6 L 452.7 1682.0 L 451.5 1682.0 L 451.5 1678.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 456.4 1678.3 L 456.4 1693.8 L 453.0 1693.8 L 453.0 1692.7 L 455.1 1692.7 L 455.1 1679.5 L 453.0 1679.5 L 453.0 1678.3 L 456.4 1678.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 627.3,1595.1 L 618.4,1595.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 618.4,1595.1 L 609.5,1595.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 609.5,1595.1 L 599.3,1612.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-1\" d=\"M 599.3,1577.4 L 609.5,1595.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 599.3,1612.8 L 578.9,1612.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 578.9,1612.8 L 574.7,1605.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 574.7,1605.6 L 570.6,1598.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 570.6,1591.7 L 574.7,1584.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 574.7,1584.5 L 578.9,1577.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 578.9,1577.4 L 599.3,1577.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 628.7 1592.2 L 630.6 1595.3 Q 630.8 1595.6, 631.1 1596.1 Q 631.4 1596.7, 631.4 1596.7 L 631.4 1592.2 L 632.2 1592.2 L 632.2 1598.0 L 631.4 1598.0 L 629.3 1594.6 Q 629.1 1594.2, 628.9 1593.8 Q 628.6 1593.3, 628.5 1593.2 L 628.5 1598.0 L 627.8 1598.0 L 627.8 1592.2 L 628.7 1592.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 632.9 1592.2 L 633.7 1592.2 L 633.7 1594.7 L 636.6 1594.7 L 636.6 1592.2 L 637.4 1592.2 L 637.4 1598.0 L 636.6 1598.0 L 636.6 1595.3 L 633.7 1595.3 L 633.7 1598.0 L 632.9 1598.0 L 632.9 1592.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 639.5 1598.9 Q 639.8 1599.0, 640.0 1599.2 Q 640.2 1599.5, 640.2 1599.8 Q 640.2 1600.2, 640.0 1600.4 Q 639.9 1600.7, 639.6 1600.8 Q 639.3 1600.9, 638.9 1600.9 Q 638.5 1600.9, 638.2 1600.8 Q 637.9 1600.6, 637.6 1600.4 L 637.9 1600.0 Q 638.2 1600.3, 638.4 1600.4 Q 638.6 1600.5, 638.9 1600.5 Q 639.2 1600.5, 639.4 1600.3 Q 639.7 1600.1, 639.7 1599.8 Q 639.7 1599.4, 639.4 1599.3 Q 639.2 1599.1, 638.7 1599.1 L 638.5 1599.1 L 638.5 1598.7 L 638.7 1598.7 Q 639.1 1598.7, 639.3 1598.5 Q 639.6 1598.3, 639.6 1598.0 Q 639.6 1597.7, 639.4 1597.6 Q 639.2 1597.4, 638.9 1597.4 Q 638.6 1597.4, 638.4 1597.6 Q 638.2 1597.7, 638.0 1598.0 L 637.7 1597.8 Q 637.8 1597.4, 638.1 1597.2 Q 638.4 1597.0, 638.9 1597.0 Q 639.5 1597.0, 639.8 1597.3 Q 640.1 1597.5, 640.1 1598.0 Q 640.1 1598.3, 639.9 1598.5 Q 639.8 1598.7, 639.5 1598.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 637.9 1593.2 L 638.9 1593.2 L 638.9 1592.2 L 639.4 1592.2 L 639.4 1593.2 L 640.4 1593.2 L 640.4 1593.6 L 639.4 1593.6 L 639.4 1594.7 L 638.9 1594.7 L 638.9 1593.6 L 637.9 1593.6 L 637.9 1593.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 561.3 1592.2 L 562.0 1592.2 L 562.0 1594.7 L 565.0 1594.7 L 565.0 1592.2 L 565.8 1592.2 L 565.8 1598.0 L 565.0 1598.0 L 565.0 1595.3 L 562.0 1595.3 L 562.0 1598.0 L 561.3 1598.0 L 561.3 1592.2 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-4\" d=\"M 567.4 1592.2 L 569.3 1595.3 Q 569.5 1595.6, 569.8 1596.1 Q 570.1 1596.7, 570.1 1596.7 L 570.1 1592.2 L 570.9 1592.2 L 570.9 1598.0 L 570.1 1598.0 L 568.0 1594.6 Q 567.8 1594.2, 567.5 1593.8 Q 567.3 1593.3, 567.2 1593.2 L 567.2 1598.0 L 566.5 1598.0 L 566.5 1592.2 L 567.4 1592.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 597.6,1624.7 L 599.6,1616.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 599.6,1616.4 L 601.6,1608.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 605.1,1603.6 L 618.8,1598.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-5 atom-1\" d=\"M 589.1,1589.1 L 594.4,1595.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-5 atom-1\" d=\"M 594.4,1595.3 L 599.7,1601.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 621.1,1593.5 L 620.5,1584.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 620.5,1584.9 L 619.8,1576.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 616.8,1591.2 L 616.4,1585.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 616.4,1585.3 L 615.9,1579.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 619.8,1576.4 L 599.8,1571.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 599.8,1571.6 L 589.1,1589.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 601.7,1576.4 L 594.2,1588.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 589.1,1589.1 L 580.0,1589.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 580.0,1589.8 L 571.0,1590.5\" style=\"fill:none;fill-rule:evenodd;stroke:#CCCC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 567.5,1585.5 L 564.2,1580.8\" style=\"fill:none;fill-rule:evenodd;stroke:#CCCC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 564.2,1580.8 L 561.0,1576.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 564.1,1587.8 L 560.9,1583.1\" style=\"fill:none;fill-rule:evenodd;stroke:#CCCC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 560.9,1583.1 L 557.6,1578.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 565.0,1593.4 L 562.2,1599.2\" style=\"fill:none;fill-rule:evenodd;stroke:#CCCC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-6 atom-8\" d=\"M 562.2,1599.2 L 559.5,1605.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 788.4,1595.1 L 779.5,1595.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-6 atom-6 atom-1\" d=\"M 769.3,1577.4 L 779.5,1595.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 748.9,1577.4 L 769.3,1577.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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@@ -13326,1090 +13400,1175 @@
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        "</svg>"
       ],
       "text/plain": [
        "<IPython.core.display.SVG object>"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -14428,7 +14587,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 87,
    "id": "bf42e97b-4c3e-413e-81fc-ac7a99aea535",
    "metadata": {},
    "outputs": [
@@ -14545,3153 +14704,3085 @@
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        "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"1190.0\" height=\"2550.0\" x=\"0.0\" y=\"0.0\"> </rect>\n",
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-       "<path class=\"atom-6\" d=\"M 107.7 81.6 Q 107.7 80.0, 108.4 79.1 Q 109.2 78.2, 110.7 78.2 Q 112.1 78.2, 112.9 79.1 Q 113.7 80.0, 113.7 81.6 Q 113.7 83.1, 112.9 84.1 Q 112.1 85.0, 110.7 85.0 Q 109.2 85.0, 108.4 84.1 Q 107.7 83.2, 107.7 81.6 M 110.7 84.2 Q 111.7 84.2, 112.2 83.5 Q 112.8 82.9, 112.8 81.6 Q 112.8 80.3, 112.2 79.6 Q 111.7 79.0, 110.7 79.0 Q 109.7 79.0, 109.1 79.6 Q 108.6 80.3, 108.6 81.6 Q 108.6 82.9, 109.1 83.5 Q 109.7 84.2, 110.7 84.2 \" fill=\"#FF0000\"/>\n",
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-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 196.8,62.8 L 202.2,55.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 253.2,45.3 L 267.3,53.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-11 atom-11 atom-12\" d=\"M 292.7,35.7 L 292.7,26.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"atom-1\" d=\"M 289.7 86.0 Q 289.7 84.4, 290.5 83.5 Q 291.2 82.6, 292.7 82.6 Q 294.1 82.6, 294.9 83.5 Q 295.7 84.4, 295.7 86.0 Q 295.7 87.6, 294.9 88.5 Q 294.1 89.4, 292.7 89.4 Q 291.2 89.4, 290.5 88.5 Q 289.7 87.6, 289.7 86.0 M 292.7 88.6 Q 293.7 88.6, 294.2 88.0 Q 294.8 87.3, 294.8 86.0 Q 294.8 84.7, 294.2 84.0 Q 293.7 83.4, 292.7 83.4 Q 291.7 83.4, 291.1 84.0 Q 290.6 84.7, 290.6 86.0 Q 290.6 87.3, 291.1 88.0 Q 291.7 88.6, 292.7 88.6 \" fill=\"#FF0000\"/>\n",
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+       "<path d=\"\" fill=\"#000000\"/>\n",
+       "<path d=\"M 256.6 2528.3 L 257.9 2528.3 L 257.9 2543.8 L 256.6 2543.8 L 256.6 2528.3 \" fill=\"#000000\"/>\n",
+       "<path d=\"\" fill=\"#000000\"/>\n",
+       "<path d=\"M 263.4 2539.4 L 265.9 2539.4 L 265.9 2531.0 L 263.2 2531.8 L 262.8 2530.9 L 266.3 2529.3 L 267.4 2529.5 L 267.4 2539.4 L 269.6 2539.4 L 269.6 2540.7 L 263.4 2540.7 L 263.4 2539.4 \" fill=\"#000000\"/>\n",
        "</svg>"
       ],
       "text/plain": [
        "<IPython.core.display.SVG object>"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 87,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -17711,7 +17802,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 88,
    "id": "875a6c50-11f5-4880-82ab-256ebb8513ec",
    "metadata": {},
    "outputs": [
@@ -17721,7 +17812,7 @@
        "(0, 7)"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 88,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -17740,17 +17831,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 89,
    "id": "ab18b80e-34b2-4644-a63a-031193096fff",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(486, 7)"
+       "(565, 7)"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 89,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -17761,7 +17852,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 90,
    "id": "bb060891-d0a5-421c-9d8a-2593f651807e",
    "metadata": {},
    "outputs": [
@@ -17797,33 +17888,33 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>80</td>\n",
-       "      <td>c1ccc2c(c1)OCO2</td>\n",
+       "      <th>6</th>\n",
+       "      <td>64</td>\n",
+       "      <td>Cc1ccc2ncccc2c1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>4</td>\n",
+       "      <td>8</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>96</td>\n",
-       "      <td>COc1cc2nc[nH]c2cc1OC</td>\n",
+       "      <th>7</th>\n",
+       "      <td>68</td>\n",
+       "      <td>Nc1cc2ncccc2cn1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAAAABmJLR0QA/wD/AP+gvaeTAAAVLElEQVR4nO2dfVBU5RrAnwUEQoEF1ORDA1E+FFFBJxPtpm2mRVYmGmNYWW2idzCbO26TdrFxGjcbk5waW0zLjzI3Sy5meaMMv1CDRM0U5OMqCqgrwqJ8CMs+949Dy7rsx2HZd88een7DH87Lew7Prr9zznPe857nlSAiEISjcRM6AKJvQmIRTCCxCCaQWAQTSCyCCSQWwQQSi2ACiUUwgcQimEBiEUwgsQgmkFgEE0gsggkkFsEEEotgAolFMIHEIphAYhFMILEIJpBYBBNILIIJJBbBBBKLYAKJRTCBxCKYQGIRTCCxCCaQWAQTSCyCCSQWwQQSi2ACiUUwgcQimEBiEUwgsQgmkFgEE0gsggkkFsEEEotgAolFMIHEIphAYhFMILEIJpBYBBNILIIJJBbBBBKLYAKJRTCBxCKYQGIRTCCxCCaQWAQTSCyCCSQWwQQSiy86na6pqUnoKEQDiWWbixcvrl69OjIyctmyZZMmTaqqqhI6IhEgQUShY3BRmpqa1Gr11q1bjx49yrX4+/trtdrg4OA9e/ZMnjxZ2PBcHSS6UVRUJJfLfX19ua/I19c3LS0tLy9Po9HIZDIA8PT0zM7OFjpMl4bE6uLWrVsqlWrs2LGGoy4xMVGlUt2+fdvQR6fTKRQK7rdyufzu3bsCBuzKkFjY0dGRl5eXkpLi6enJGTNkyJCMjIyzZ89a2uSrr77y8fEBgKSkpNraWmdGKxb+1mKVl6NSeTM0NJTzycPDY/bs2Tk5Oe3t7Ta3PXXq1AMPPAAAoaGhJ0+edEK04uLvKFZrK6rVKJOhRIISCQ4bNi0qKiozM/Py5cs92o9Go5k2bRoAeHl5bd26lVG0IuXvJVZhIaano1SKAAiA/fvjiy9iQcE1vV5v3w7b29uNU662tjbHBixeRCyWVotqNZ46dU/joUPY/bpUX48qFSYkdPoEgImJmJWFdXW2/8qdO3e++OKLjRs3WumjUqm4/Ozhhx++fv16Tz9In0TEYp0/jwAYFIQaTVfjY4/hwoWd/+7owLw8TEtDH59OnwICUC7H4mJe+y8qKsrIyAgMDAQAqVTa3NxspfOxY8eCg4MBYOjQoUVFRXZ/KBacOXPmzJkzVVVVzvyjohdr0CB87bWuRk6sq1dRqcThwzt9cnNDmQy3bUOrbnRy48aNDz/8cPTo0YZBh6SkpC1btrS2tlrfsLq6+sEHHwQAb2/v7du39+7DOQCtVqtSqZKSkgAgISHByYmg6MXauBHd3PDYsc5GTqyFCzuVCgtDhQL/9z/be+MGHdLS0u677z7Op8DAQLlcfubMGf4htba2Llq0CAAkEolCodDpdPZ8sN6h1+vz8/ONP0hAQMD48eO5fy9fvpzPPW/vEb1YZ8/i3LkYF4dc3syJdeQILliABw8in6S8ogJXrcLZs7/lvnp3d/fk5OS9e/fanYmrVKp+/foBwMyZM+vr6+3biR3U1NQolcoRI0ZwH8TNzS0pKUmlUjU1NSHi9u3bvb29nZYI9gWxqqpwwABctw7x3hzLOsaDDgA4YkTLyJEjMzMzL1261PvYDh8+fP/99wPAiBEjzp071/sdWkGn03EDvB4eHpxSISEhCoWivLzcpKczE8G+IBYiKpXYvz9evcpLrKIiXLKka9DBxwcXLsRDh3id3vhz5cqVCRMmcI8av/vuO0fu+i9KSkoUCgVnMPcEMzk5Wa1WW7nYVVdXT5o0yQmJYB8R6+5djI3FF16wJlZvBh3so6WlZeHChYaUq6OjwyG7bW5uVqvVMplMIpFwSsXGxiqVSp4XOOckgn1ELEQ8eBDd3DA01KJYzz7b6dPAgfjGG/jHH06KMysry93dHQCSk5MbGhp6syuTaRd+fn7ctAs7dmWcCN66das3UZml74iFiKmpCGBRrNxcnDkTv/kGnT8j4cCBAwEBAQAQHR194cKFnm5eV1enUqni4+OtTLuwA6aJoIjFKi3FgAD888+ulpoaDA3FxYuFi8kyZWVlcXFx3GkmNzeXzyaGaRfcqQUAgoODMzIy/uBxstXr9YcPH168eLH14bcrV65MnDgRAAYMGODYRFDEYnHcuoWFhdjYKHQcPLh9+/Zzzz3HjWgolUorDygvXryYmZnJzZ7g+stkMrVazWcEpLa2Nisri5MYANRqtfX+jBJB0Yv1zTcIgLNnCx0HP/R6vVKpdHNzA4D58+dzI0wGWlpaTLLy6OhopVJ57do1m3tua2vLycl56qmnDIMOYWFhK1eu5Dl6olKpuA17nwhyiF6sNWsQAFesEDqOnvD999/7+/sDwNixYysrK/He55LcWEBKSkpeXh6faRelpaWZmZlDhw41Ob31dIS9l4mgCaIX64UXEAC3bBE6jh7y559/jhw5knu8bRgrB4DJkyd/9tlnjTwu7d1PbzExMfwHHcxSXl7e00TQEqIXa8IEBOh6VigitFqtTCbjzlIBAQFyufz06dN8NrT0rofds8qM4Z8IWkfcYun16OuLAHjzptCh2MWXX34JAFOmTOGTlfN518MhWE8EeSJusaqqEAAHDxY6DnvJzMwEgLfffttKHzve9XAI+/fvN0kEe4S4xfrpJwTAhx8WOg57mT9/PgBs27bN7G+rqqqUSqV9gw4OobS0NDY2FgCCgoJ+/vnnHm0rbrE2bkQAlMuFjsNeuOua2Zd80tPTjQcd3n//fUHeM9NqtU8//TQAeHh4KJVK/huKW6ylSxEA168XOg676Ojo4F5ONDtu9PHHH/do0IEdXMrFWb5gwQLrU7QNiFusRx9FANy/X+g47KKyspKbO2X2t01NTXwGHZzG7t27+/fvDwAJCQl83pMTd7WZkhIAgJgYoeOwi5KSEgCIsRC9j4+PYUDBFZg3b15BQUFERMSpU6cmTJhw6NAh6/1FLNbt21BTA97e8Fd2KzKsi+WCxMfHFxYWymQyjUYzY8aMzZs3W+ksYrFKSgARoqPB3V3oUOyitLQUAKKjo4UOpAcEBQX9+OOPy5Yta2trk8vl+/fvt9RT3GKBaK+D8NcZi7ufFxEeHh5ZWVnr1q3z8/OzIpaHM2NyLDdu/DZuXFN8/HgAqdCx2IPoLoXGREdHNzY2cvcfZhHxGev48XWnT0+PiPhR6EDsoaGh4fr16/379w8LCxM6FnuweVSIWCxRH/EXLlwAgJiYGMMoqLjgEsQ+KFZHR0d5eblEIuEmn4gOsRwVtbW1S5Ys+fzzz03a++wZq7Ky8u7du8OGDRswYIDQsdiDWG4Jz549u2nTpu3bt5u099kzlliOeEuIJX6zcd64caOurk4qlQ4ZMsTShiSWMIglfrNnVj7Bi1UssVxKzNLe3l5ZWenm5ub6CaJZh/qyWGI54s1SVlbW3t4eERHBlX9xZcx+z3yOahJLAMQSfGNjY21trY+Pz7Bhw4zbDWMlVrYVpVgajaaurs7Pz48ryiM6xCIWJ1B0dDQ3/91An70UivQpmwGxJIhmBWptba2qqurXr19kZKSVbUUslqUjpqKiwrnh9BixnLHMHgClpaUdHR2RkZGGihJmEaVYVo7406dPx8fHv/76621tbU6Piy82RxddBLtvCUGkYhUXF4OFz8a9qJSdnT19+vRr1645PTTb1NTUaLXawMDAQYMGCR2LDf4uYmm12uzs7ClTpuTn5wcGBu7evVun05n0mTNnTkFBQXh4+LFjxxITE0+ePClIqFYQS4Ko0+kqKiq6D7bxTRDZT8PvLXq9/pdfflmwYIFh1MfPz48rjfL444+brUan0WimT58OAF5eXltcrK7DJ598AgCvvPKK0IHYgDsAIiIiTNq5yt7Hjx+3vrlLi1VdXa1UKg13H8b1pY8ePco9qIqMjDRbiMxlV7nJyMgAgA8++EDoQGyQk5MDALNmzTJu1Ov13FN/m9UlXVGsu3fv5ubmGteXDg0NVSgUFRUVxt2uXr1qqEa3Z88es7vasWMHV0d/6tSpfKpMOYEZM2YAwL59+4QOxAZKpRIAli9fbtx46dIlAAgODra5uWuJdeHCBYVCMXjwYM4nLy+vlJSU3NxcS5V9W1paXnrpJbBaja6oqIgbOA4LCyssLGT8CWzDBVNWViZ0IDbgvthPP/3UuPHAgQMAMG3aNJubu4RYWi2qVJiausKQ+Y0dO/ajjz6q41cp21AA+IknnjD7VrFxcXNLhRKcw507dyQSiaenp3PWHekN3DeWn59v3JiVlQUA6enpNjcXWKyiIpTLccAABMCJE/f5+/vL5fIjR470dD/5+fnc3XtUVNT58+e7d2htbX311Vc5azMyMgRZ5QYRf//9dwCIi4vr/qumpiaXso2r7meSP6SnpwNAVlaWzc2FEaumBteuxaiozsLrEglOm4Y7d+p41gUwS3l5+ZgxYwDA19c3JyfHbB/Duc3S7SRruIJYc+fONWnX6/Xz5s1znUSwtrYWAKRSqUk7t6LsgQMHbO7BmlibN+Nvv93TcuUKfvQRarWmPfPzUaVC46vQzZuoUpku+qDTYV4epqRgv36dSoWEoEKBjso3bt++PXfuXEPKZbaWxpEjRwzFzfnUtXYs//73vwFg1apVJu2XL18OCQkBgPDw8GKe6ymy5NdffwWAhx56yKSde+rPp2CuNbEGD8Y1a+5p+flnBMB7b84QERctQgBcurSrpbj4nur+paWYmYlDh3b65O6OMhmq1ejwc79xNbp58+bduXOnex/j4ubffvutgyOwjEajSUhIAIDs7Ozuv3WdRBARN23aBAAvv/yycWNDQwMA+Pj48CnZ7TCxwsLQ3b1r2VxOrMJC3LoVk5K6lq8ZPRrXr8cbN2x/tt7www8/SKVSAIiPjzdbja6lpeXFF1+0fjvpKExWQgwKCoqIiHDlRBAR33jjDQAwKYh14sQJABg/fjyfPThMrJkzMTUVx49H7tvgxDp8GL28EAB9fTEtDfPyHLzClhUuXrw4atQo7j/S0mozhuLmTz75pEOKm5tQWVn5zjvvGBfKfvTRR7nxXqlUut9C+SXDCtNCJYKIOHPmTAAwSVW5l8BSU1P57MGGWCtXYn19189//mNNrKoq9PHBDRsQjS6Fq1fj55+juSsScxobG5955hn4qwCw2T42byftoLW1Va1WJycnu/9VrmTo0KEKhYJLTVw/EUTE8PBwACgpKTFufOuttwBg9erVfPZgQyzDJcz4x5JYiPjee+jri1eumOZYQmGccqWmppotAGwobi6VSqurq3vz586dO6dQKAYOHMj5ZKkkn3FUKSkpZhPBy5cvcwlZRMSknBxnXxPXrFmTmppq8hyMO0q//vprPnuwIZZCgTU1XT9qtQ2xuHUDn3/eVcTiyM3N9fPz4/IDs3c03FkkIyPDvv03NDSoVKrExETDAG9iYmJWVtZNq1XCjRPBiu7fKWJzc3Na2qL4eK1EgpmZzssiLMFNleFZjN6ROZahj0SCH3/sQmIh4tmzZ4cPHw4AAwcOPHjwYPcOer2+p+OTHR0dR44ckcvlXClR7pwnl8tPnTrFcw+GRDAwMPCnn34y20elQg8PBMAnnkAGeSBf2tra+vXr5+bmxrPsu+PFQsTnn8dBg1xLLESsq6t77LHHoOcFgLvTfdqFTCbbtm2bHQO8jY2Nzz77rK1EsPP7jIpCB+WBPYZ7saL7LBpL2CNWWRm+9x5OnIj/+Ady1b9NxKqtRX9/lxMLEXU6nfFcmrs9XBKz+7SLsLAwhUJhR319Y/glgjhmTOf9tYXHCmzZu3cvdJtFYwVrYiUl4aZN97QcP47R0Xj4MC5fjm1tWFaGXM1fhQJfeumenp98gsOH4713Fa7Crl27uIvX5MmTa2pq+Gxy/vz5Hk27sIN9+/ZxK0GMGzfOQiKIc+d2PgFTKJydcq1du7b7LBor9PZZ4cCB6DJT6HpAcXExd0cdEhJy4sQJS920Wu22bdtkMpkhKx81apRSqdRoNCyiKikpiYmJ8faWJiXVm8sDUa9HpRLd3BAAU1KcNIjDrYTILZBhMovGCr0Sa+9e0axA2R3r05e5FbYMNZLsnnbRU+rq6l57rQQAPT1NLxcGfvgBpVKMisL6erbBmKyEuHLlynref9J+sQoLMS4Oq6rs3oHwdJ++XFNTo1QqjV8f4FbYMjvUxAidDhUKlEgQANPSsKXFTJ+SEuz1UpUWcchKiHaKtXMnJiUhv1VhXZ3Nmzd7eXlxmbhhrDwsLGzVqlVmh5ecw65d6OODADh5MvLLAx2AA1dCtEes775DAIyNxcRETEzEixft2IdrUVBQEBISIpPJPD09k5OT7Vj3lgXFxRge3jm5yNZLMb2CxUqILjE12RVoamq6evXqDdbzLnqIRoPTpyMAenk5fnlinQ7/+9/COXPmGF6WHzJkyIoVK0occTNPYrk67e2oUHQ+pZXLHXMPXlWFSiU+8ABOnLgf2KyESGKJgx078L77EACnTkW7Zy83N+OOHfjII513BgA4apTugw82sFgJkcQSDb//jsOGIQCGhWFPX2M7dw4VCgwK6vTJ2xtTUthOjyOxxER1NU6ahADo54dr1iAAvvtu12/b2xEAv/yyq6W+HlUqTEjomvKUmIhZWabvIrBAxGvp/A0JCYH8fPjnPyE2FiQScHeHtWshNRVMauTq9VBQADt2wM6d0NwMABAQACkpkJ4O48Y5KVQSS2R4eQG3TuCGDRAcDKNHw5IlkJfX1aGjA0aNgtJSAAB3d5g1CxYtgtmzwdPTqXGSWOJmwwYYOxZ27YLU1M4Wd3cYNw6ammDBAli8GMLDhQmMxBI3sbGwdCm8+SbMmgWGxV8+/RT8/UHY1Z/EVHiNMMu774JEAitXdrVIpQJbBSRWH8DPD9avB5UK/vhD6FCMILH6Aqmp8Mgj8K9/CR2HEZRj9RE2bYIxY4QOwgg6Y/URRo6EN98UOggjJIgodAyEPVRVweXLMHVqV0tzMxQUQFwcWF5F0HmQWAQT6FJIMIHEIphAYhFMILEIJpBYBBNILIIJJBbBBBKLYAKJRTCBxCKYQGIRTCCxCCaQWAQTSCyCCSQWwQQSi2ACiUUwgcQimEBiEUwgsQgmkFgEE0gsggkkFsEEEotgAolFMIHEIphAYhFMILEIJpBYBBNILIIJJBbBBBKLYAKJRTCBxCKYQGIRTCCxCCaQWAQTSCyCCSQWwQQSi2ACiUUwgcQimEBiEUwgsQgmkFgEE0gsggkkFsEEEotgAolFMIHEIphAYhFMILEIJpBYBBNILIIJJBbBhP8D3R4NtTdxzG8AAAD+elRYdHJka2l0UEtMIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAG4g5gHiBkZ2hgwgzczIxOagAWKwsDmABZgZYQLsEJoZSQKTgaYXpoebgVGBkSmDiYk5gZklg4mFNYGVLYOJjT2BnSODiYMzgZMrg4mLMYGDOUGEiY2Ri5ODmYmNhZWNnYNZvA9oACPcvc2NuQfubPHZD+I0fRI+4HO1ZR+InV4yaX/TwZlg8axlTXZnLTTBbHOpbfZTNc6C2TJzTByqmDvA7PNFzg6226/ZgdhMpR/t/1muswfbEPPT7phmEJhtYay3X2jhQzD7vDTrge/Vc8BsMQB1tjqRaQFcVwAAAVR6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9kk1qAzEMhfdzCl0gRn+W7WWSCaWUTKBNe4fuc38qTUg8AVN7ZGTzWVjvzQQxPueP3xs8B8/TBID/fK01+BFEnM4QCRxOb+8LHK/7w+PkePlerl9ABMR+x+cru79ezo8TggV2kgoR+m6HqbRmkgETrqPfZTjCjpMQWbEgOTdVHJASJCVSpVIiYySmOiDVySiU6V7SjJBlAGZ/JiVltpKjoiFXpAFoXpFTZXYgQDQ2tAFYHJSEWWp1kZJSEysDrjpHqVaTKp6IEelInra2orWEjugvwJZH4hCGOt5qRbXmFYtx4ZE4tHrDCUvzfpxk5iwjdU7L/GLq3ebDZZm7zTG5e6ke0g3TiO5KzNy19w1YV1g9StdRPWqXSz1aV0U9aNu9xkK06VJjeb6NeL2j2+a2rcT+8bd7Pv0B8AScuJI6J98AAACqelRYdFNNSUxFUyByZGtpdCAyMDIxLjA5LjUAAHicHY7BcUQxCENbyXEzw2eQwBiPe0gTvm8FW3zwcnw8gf4OzuH79PC88fN5Pa4TMJfHdK6VPmQ/VAeyLuNYEY2giEAjKA2k7LsbmHmtTBhdNjTInNdKY8mmFnmvQy2ZkO1qw6vENLC83Q5VpZdAPYG4l6Nmh6zDtm6h/lAWudqZyenfjjZXsQnJ4fL7+Qeiei3crDSXKgAAAABJRU5ErkJggg==\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>5</td>\n",
+       "      <td>9</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>128</td>\n",
-       "      <td>Cc1ccc([O-])c([O-])c1</td>\n",
+       "      <th>8</th>\n",
+       "      <td>77</td>\n",
+       "      <td>Nc1ncnc2ccccc12</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>6</td>\n",
+       "      <td>10</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -17834,7 +17925,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 90,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -17862,7 +17953,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 91,
    "id": "4c4681e0-0a93-406a-aec5-2ade2f285590",
    "metadata": {},
    "outputs": [
@@ -17870,11 +17961,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of molecules: 282\n",
+      "Number of molecules: 400\n",
       "Threshold:  0.6\n",
-      "Number of clusters:  76\n",
-      "# Clusters with only 1 molecule:  38\n",
-      "# Clusters with more than 5 molecules:  11\n",
+      "Number of clusters:  96\n",
+      "# Clusters with only 1 molecule:  48\n",
+      "# Clusters with more than 5 molecules:  17\n",
       "# Clusters with more than 25 molecules:  3\n",
       "# Clusters with more than 100 molecules:  0\n"
      ]
@@ -17886,7 +17977,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 92,
    "id": "ffe48b7f-4252-4647-8985-b6eb4a0f7e5d",
    "metadata": {},
    "outputs": [
@@ -17922,34 +18013,34 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>67</td>\n",
+       "      <th>16</th>\n",
+       "      <td>96</td>\n",
        "      <td>Cc1ccc2c(c1)OCO2</td>\n",
        "      <td>1</td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>15</td>\n",
+       "      <td>18</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>110</td>\n",
-       "      <td>Oc1ccc(Br)cc1</td>\n",
+       "      <th>17</th>\n",
+       "      <td>123</td>\n",
+       "      <td>Cc1ccc(O)cc1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>16</td>\n",
+       "      <td>19</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>112</td>\n",
-       "      <td>COc1ccc2cccnc2c1</td>\n",
+       "      <th>18</th>\n",
+       "      <td>206</td>\n",
+       "      <td>OCc1ccccc1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[AP]</td>\n",
+       "      <td>20</td>\n",
+       "      <td>[FP]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -17959,7 +18050,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 92,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -17979,7 +18070,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 93,
    "id": "248fda15-7cdc-4c0f-b7f9-94cca43b2b1c",
    "metadata": {},
    "outputs": [
@@ -18096,26 +18187,26 @@
        "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"1190.0\" height=\"2550.0\" x=\"0.0\" y=\"0.0\"> </rect>\n",
        "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"1190.0\" height=\"2550.0\" x=\"0.0\" y=\"0.0\"> </rect>\n",
        "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"1190.0\" height=\"2550.0\" x=\"0.0\" y=\"0.0\"> </rect>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 143.2,74.7 L 122.4,67.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 122.4,67.3 L 118.4,45.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 117.4,64.9 L 114.6,49.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-6 atom-1\" d=\"M 105.5,81.7 L 122.4,67.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 118.4,45.6 L 97.5,38.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 97.5,38.2 L 80.7,52.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 97.9,43.7 L 86.1,53.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 80.7,52.5 L 84.7,74.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-4\" d=\"M 62.2,50.1 L 71.4,51.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-9 atom-4\" d=\"M 71.4,51.3 L 80.7,52.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 84.7,74.3 L 105.5,81.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 89.3,71.2 L 103.9,76.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 84.7,74.3 L 76.7,78.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 76.7,78.6 L 68.7,83.0\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 61.8,81.6 L 55.5,75.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 55.5,75.6 L 49.2,69.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 49.2,69.6 L 53.1,61.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 53.1,61.5 L 56.9,53.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-7\" d=\"M 62.4 84.8 Q 62.4 83.3, 63.1 82.5 Q 63.9 81.7, 65.3 81.7 Q 66.7 81.7, 67.4 82.5 Q 68.1 83.3, 68.1 84.8 Q 68.1 86.4, 67.4 87.2 Q 66.6 88.1, 65.3 88.1 Q 63.9 88.1, 63.1 87.2 Q 62.4 86.4, 62.4 84.8 M 65.3 87.4 Q 66.2 87.4, 66.7 86.7 Q 67.3 86.1, 67.3 84.8 Q 67.3 83.6, 66.7 83.0 Q 66.2 82.4, 65.3 82.4 Q 64.3 82.4, 63.8 83.0 Q 63.3 83.6, 63.3 84.8 Q 63.3 86.1, 63.8 86.7 Q 64.3 87.4, 65.3 87.4 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-9\" d=\"M 55.9 49.7 Q 55.9 48.1, 56.6 47.3 Q 57.4 46.5, 58.8 46.5 Q 60.2 46.5, 60.9 47.3 Q 61.6 48.1, 61.6 49.7 Q 61.6 51.2, 60.9 52.0 Q 60.1 52.9, 58.8 52.9 Q 57.4 52.9, 56.6 52.0 Q 55.9 51.2, 55.9 49.7 M 58.8 52.2 Q 59.7 52.2, 60.2 51.6 Q 60.8 50.9, 60.8 49.7 Q 60.8 48.4, 60.2 47.8 Q 59.7 47.2, 58.8 47.2 Q 57.8 47.2, 57.3 47.8 Q 56.8 48.4, 56.8 49.7 Q 56.8 50.9, 57.3 51.6 Q 57.8 52.2, 58.8 52.2 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 143.3,80.9 L 120.9,73.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 120.9,73.0 L 116.6,49.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 115.6,70.4 L 112.6,54.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-6 atom-1\" d=\"M 102.9,88.4 L 120.9,73.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 116.6,49.7 L 94.3,41.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 94.3,41.7 L 76.2,57.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 94.7,47.7 L 82.0,58.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 76.2,57.1 L 80.5,80.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-4\" d=\"M 56.4,54.5 L 66.3,55.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-4\" d=\"M 66.3,55.8 L 76.2,57.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 80.5,80.5 L 102.9,88.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 85.5,77.2 L 101.1,82.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 80.5,80.5 L 71.9,85.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 71.9,85.1 L 63.4,89.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 56.0,88.3 L 49.3,81.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 49.3,81.8 L 42.5,75.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 42.5,75.4 L 46.6,66.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 46.6,66.8 L 50.8,58.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-7\" d=\"M 56.6 91.8 Q 56.6 90.2, 57.4 89.3 Q 58.2 88.4, 59.7 88.4 Q 61.2 88.4, 62.0 89.3 Q 62.8 90.2, 62.8 91.8 Q 62.8 93.4, 62.0 94.3 Q 61.2 95.3, 59.7 95.3 Q 58.2 95.3, 57.4 94.3 Q 56.6 93.4, 56.6 91.8 M 59.7 94.5 Q 60.7 94.5, 61.3 93.8 Q 61.8 93.1, 61.8 91.8 Q 61.8 90.5, 61.3 89.8 Q 60.7 89.1, 59.7 89.1 Q 58.7 89.1, 58.1 89.8 Q 57.6 90.4, 57.6 91.8 Q 57.6 93.1, 58.1 93.8 Q 58.7 94.5, 59.7 94.5 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-9\" d=\"M 49.6 54.0 Q 49.6 52.4, 50.4 51.5 Q 51.2 50.6, 52.7 50.6 Q 54.2 50.6, 55.0 51.5 Q 55.8 52.4, 55.8 54.0 Q 55.8 55.7, 55.0 56.6 Q 54.2 57.5, 52.7 57.5 Q 51.2 57.5, 50.4 56.6 Q 49.6 55.7, 49.6 54.0 M 52.7 56.8 Q 53.7 56.8, 54.3 56.1 Q 54.9 55.4, 54.9 54.0 Q 54.9 52.7, 54.3 52.1 Q 53.7 51.4, 52.7 51.4 Q 51.7 51.4, 51.1 52.0 Q 50.6 52.7, 50.6 54.0 Q 50.6 55.4, 51.1 56.1 Q 51.7 56.8, 52.7 56.8 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 47.5 159.4 L 50.0 159.4 L 50.0 151.0 L 47.3 151.8 L 46.9 150.9 L 50.4 149.3 L 51.5 149.5 L 51.5 159.4 L 53.7 159.4 L 53.7 160.7 L 47.5 160.7 L 47.5 159.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 59.1 148.3 L 60.5 148.3 L 60.5 163.8 L 59.1 163.8 L 59.1 148.3 \" fill=\"#000000\"/>\n",
@@ -18131,23 +18222,20 @@
        "<path d=\"M 108.0 149.4 Q 109.9 149.4, 110.9 150.3 Q 111.9 151.1, 111.9 152.7 Q 111.9 154.3, 110.9 155.2 Q 109.9 156.1, 108.0 156.1 L 106.2 156.1 L 106.2 160.7 L 104.6 160.7 L 104.6 149.4 L 108.0 149.4 M 108.0 154.8 Q 109.1 154.8, 109.7 154.3 Q 110.3 153.7, 110.3 152.7 Q 110.3 151.7, 109.7 151.2 Q 109.1 150.7, 108.0 150.7 L 106.2 150.7 L 106.2 154.8 L 108.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 112.4 148.6 L 113.5 148.6 L 113.5 152.0 L 112.4 152.0 L 112.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 117.2 148.3 L 117.2 163.8 L 113.8 163.8 L 113.8 162.7 L 115.9 162.7 L 115.9 149.5 L 113.8 149.5 L 113.8 148.3 L 117.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 303.4,63.8 L 294.0,63.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 294.0,63.8 L 284.7,63.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 284.7,63.8 L 273.6,83.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 279.2,64.5 L 271.5,77.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-1\" d=\"M 273.6,44.7 L 284.7,63.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 273.6,83.0 L 251.5,83.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 251.5,83.0 L 240.5,63.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 253.7,77.9 L 245.9,64.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 240.5,63.8 L 230.3,63.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 230.3,63.8 L 220.2,63.8\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 240.5,63.8 L 251.5,44.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 251.5,44.7 L 273.6,44.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 254.8,49.1 L 270.3,49.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 303.9 63.9 Q 303.9 62.4, 304.7 61.5 Q 305.4 60.7, 306.8 60.7 Q 308.2 60.7, 308.9 61.5 Q 309.7 62.4, 309.7 63.9 Q 309.7 65.4, 308.9 66.2 Q 308.2 67.1, 306.8 67.1 Q 305.4 67.1, 304.7 66.2 Q 303.9 65.4, 303.9 63.9 M 306.8 66.4 Q 307.7 66.4, 308.3 65.8 Q 308.8 65.1, 308.8 63.9 Q 308.8 62.6, 308.3 62.0 Q 307.7 61.4, 306.8 61.4 Q 305.8 61.4, 305.3 62.0 Q 304.8 62.6, 304.8 63.9 Q 304.8 65.1, 305.3 65.8 Q 305.8 66.4, 306.8 66.4 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-0\" d=\"M 310.4 60.7 L 311.3 60.7 L 311.3 63.4 L 314.5 63.4 L 314.5 60.7 L 315.3 60.7 L 315.3 67.0 L 314.5 67.0 L 314.5 64.1 L 311.3 64.1 L 311.3 67.0 L 310.4 67.0 L 310.4 60.7 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-5\" d=\"M 215.1 63.7 Q 215.7 63.8, 216.0 64.2 Q 216.3 64.6, 216.3 65.1 Q 216.3 66.0, 215.7 66.5 Q 215.2 67.0, 214.1 67.0 L 212.0 67.0 L 212.0 60.7 L 213.9 60.7 Q 214.9 60.7, 215.5 61.1 Q 216.0 61.6, 216.0 62.4 Q 216.0 63.3, 215.1 63.7 M 212.9 61.4 L 212.9 63.4 L 213.9 63.4 Q 214.5 63.4, 214.8 63.1 Q 215.1 62.9, 215.1 62.4 Q 215.1 61.4, 213.9 61.4 L 212.9 61.4 M 214.1 66.3 Q 214.7 66.3, 215.1 66.0 Q 215.4 65.7, 215.4 65.1 Q 215.4 64.6, 215.0 64.3 Q 214.7 64.1, 214.0 64.1 L 212.9 64.1 L 212.9 66.3 L 214.1 66.3 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-5\" d=\"M 217.7 62.4 L 217.8 63.0 Q 218.3 62.3, 219.1 62.3 Q 219.3 62.3, 219.6 62.4 L 219.5 63.2 Q 219.1 63.1, 218.9 63.1 Q 218.5 63.1, 218.3 63.2 Q 218.1 63.4, 217.9 63.7 L 217.9 67.0 L 217.0 67.0 L 217.0 62.4 L 217.7 62.4 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 306.4,69.3 L 282.7,69.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 282.7,69.3 L 270.8,89.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 276.8,70.0 L 268.5,84.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-1\" d=\"M 270.8,48.7 L 282.7,69.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 270.8,89.8 L 247.1,89.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 247.1,89.8 L 235.3,69.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 249.4,84.3 L 241.1,70.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 235.3,69.3 L 225.2,69.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 225.2,69.3 L 215.2,69.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-4 atom-6\" d=\"M 235.3,69.3 L 247.1,48.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 247.1,48.7 L 270.8,48.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 250.7,53.5 L 267.3,53.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-5\" d=\"M 202.7 65.9 L 203.6 65.9 L 203.6 68.8 L 207.1 68.8 L 207.1 65.9 L 208.0 65.9 L 208.0 72.6 L 207.1 72.6 L 207.1 69.5 L 203.6 69.5 L 203.6 72.6 L 202.7 72.6 L 202.7 65.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-5\" d=\"M 208.5 69.3 Q 208.5 67.7, 209.2 66.8 Q 210.0 65.9, 211.5 65.9 Q 213.0 65.9, 213.8 66.8 Q 214.6 67.7, 214.6 69.3 Q 214.6 70.9, 213.8 71.8 Q 213.0 72.8, 211.5 72.8 Q 210.1 72.8, 209.2 71.8 Q 208.5 70.9, 208.5 69.3 M 211.5 72.0 Q 212.6 72.0, 213.1 71.3 Q 213.7 70.6, 213.7 69.3 Q 213.7 68.0, 213.1 67.3 Q 212.6 66.6, 211.5 66.6 Q 210.5 66.6, 210.0 67.3 Q 209.4 67.9, 209.4 69.3 Q 209.4 70.6, 210.0 71.3 Q 210.5 72.0, 211.5 72.0 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 217.5 159.4 L 220.0 159.4 L 220.0 151.0 L 217.3 151.8 L 216.9 150.9 L 220.4 149.3 L 221.5 149.5 L 221.5 159.4 L 223.7 159.4 L 223.7 160.7 L 217.5 160.7 L 217.5 159.4 \" fill=\"#000000\"/>\n",
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@@ -18163,132 +18251,128 @@
        "<path d=\"M 278.0 149.4 Q 279.9 149.4, 280.9 150.3 Q 281.9 151.1, 281.9 152.7 Q 281.9 154.3, 280.9 155.2 Q 279.9 156.1, 278.0 156.1 L 276.2 156.1 L 276.2 160.7 L 274.6 160.7 L 274.6 149.4 L 278.0 149.4 M 278.0 154.8 Q 279.1 154.8, 279.7 154.3 Q 280.3 153.7, 280.3 152.7 Q 280.3 151.7, 279.7 151.2 Q 279.1 150.7, 278.0 150.7 L 276.2 150.7 L 276.2 154.8 L 278.0 154.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 282.4 148.6 L 283.5 148.6 L 283.5 152.0 L 282.4 152.0 L 282.4 148.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 287.2 148.3 L 287.2 163.8 L 283.8 163.8 L 283.8 162.7 L 285.9 162.7 L 285.9 149.5 L 283.8 149.5 L 283.8 148.3 L 287.2 148.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 374.7,42.9 L 377.6,51.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 377.6,51.5 L 380.6,60.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 385.3,64.5 L 394.5,66.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 394.5,66.3 L 403.6,68.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 403.6,68.0 L 410.9,88.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 408.9,69.7 L 413.9,84.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-11 atom-2\" d=\"M 418.1,51.3 L 403.6,68.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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@@ -18304,303 +18388,290 @@
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@@ -18616,23 +18687,20 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 227.7,418.4 L 235.6,413.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 235.6,413.9 L 243.4,409.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 243.4,409.4 L 243.4,387.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 247.8,406.0 L 247.8,390.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-1\" d=\"M 262.6,420.4 L 243.4,409.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 243.4,387.3 L 262.6,376.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 262.6,376.2 L 281.7,387.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 263.2,381.7 L 276.6,389.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 281.7,387.3 L 281.7,409.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 281.7,409.4 L 289.8,414.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 289.8,414.0 L 297.9,418.7\" style=\"fill:none;fill-rule:evenodd;stroke:#00CC00;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 281.7,409.4 L 262.6,420.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 276.6,407.2 L 263.2,414.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 216.0 417.3 L 216.9 417.3 L 216.9 420.0 L 220.1 420.0 L 220.1 417.3 L 220.9 417.3 L 220.9 423.6 L 220.1 423.6 L 220.1 420.7 L 216.9 420.7 L 216.9 423.6 L 216.0 423.6 L 216.0 417.3 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-0\" d=\"M 221.4 420.4 Q 221.4 418.9, 222.1 418.1 Q 222.9 417.3, 224.3 417.3 Q 225.7 417.3, 226.4 418.1 Q 227.1 418.9, 227.1 420.4 Q 227.1 422.0, 226.4 422.8 Q 225.6 423.7, 224.3 423.7 Q 222.9 423.7, 222.1 422.8 Q 221.4 422.0, 221.4 420.4 M 224.3 423.0 Q 225.2 423.0, 225.7 422.3 Q 226.3 421.7, 226.3 420.4 Q 226.3 419.2, 225.7 418.6 Q 225.2 418.0, 224.3 418.0 Q 223.3 418.0, 222.8 418.6 Q 222.3 419.2, 222.3 420.4 Q 222.3 421.7, 222.8 422.3 Q 223.3 423.0, 224.3 423.0 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-6\" d=\"M 298.4 420.6 Q 298.4 419.1, 299.2 418.3 Q 299.9 417.4, 301.3 417.4 Q 302.6 417.4, 303.3 418.4 L 302.7 418.8 Q 302.2 418.2, 301.3 418.2 Q 300.4 418.2, 299.8 418.8 Q 299.4 419.4, 299.4 420.6 Q 299.4 421.9, 299.9 422.5 Q 300.4 423.1, 301.4 423.1 Q 302.1 423.1, 302.9 422.7 L 303.1 423.4 Q 302.8 423.6, 302.3 423.7 Q 301.8 423.9, 301.3 423.9 Q 299.9 423.9, 299.2 423.0 Q 298.4 422.2, 298.4 420.6 \" fill=\"#00CC00\"/>\n",
-       "<path class=\"atom-6\" d=\"M 304.0 417.1 L 304.9 417.1 L 304.9 423.8 L 304.0 423.8 L 304.0 417.1 \" fill=\"#00CC00\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 217.9,427.0 L 238.4,415.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 238.4,415.2 L 238.4,391.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 243.2,411.6 L 243.2,395.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-1\" d=\"M 259.0,427.0 L 238.4,415.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 238.4,391.5 L 259.0,379.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 259.0,379.6 L 279.5,391.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 259.7,385.5 L 274.1,393.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 279.5,391.5 L 279.5,415.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 279.5,415.2 L 287.9,420.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 287.9,420.0 L 296.4,424.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 279.5,415.2 L 259.0,427.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 274.1,412.9 L 259.7,421.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-6\" d=\"M 297.0 427.1 Q 297.0 425.4, 297.8 424.5 Q 298.6 423.6, 300.0 423.6 Q 301.5 423.6, 302.3 424.5 Q 303.1 425.4, 303.1 427.1 Q 303.1 428.7, 302.3 429.6 Q 301.5 430.5, 300.0 430.5 Q 298.6 430.5, 297.8 429.6 Q 297.0 428.7, 297.0 427.1 M 300.0 429.8 Q 301.1 429.8, 301.6 429.1 Q 302.2 428.4, 302.2 427.1 Q 302.2 425.7, 301.6 425.1 Q 301.1 424.4, 300.0 424.4 Q 299.0 424.4, 298.5 425.1 Q 297.9 425.7, 297.9 427.1 Q 297.9 428.4, 298.5 429.1 Q 299.0 429.8, 300.0 429.8 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-6\" d=\"M 303.9 423.7 L 304.8 423.7 L 304.8 426.6 L 308.3 426.6 L 308.3 423.7 L 309.2 423.7 L 309.2 430.4 L 308.3 430.4 L 308.3 427.3 L 304.8 427.3 L 304.8 430.4 L 303.9 430.4 L 303.9 423.7 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 216.9 499.4 L 219.3 499.4 L 219.3 491.0 L 216.6 491.8 L 216.2 490.9 L 219.7 489.3 L 220.8 489.5 L 220.8 499.4 L 223.1 499.4 L 223.1 500.7 L 216.9 500.7 L 216.9 499.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 228.4 488.3 L 229.8 488.3 L 229.8 503.8 L 228.4 503.8 L 228.4 488.3 \" fill=\"#000000\"/>\n",
@@ -18648,129 +18716,133 @@
        "<path d=\"M 281.0 500.7 L 279.8 497.4 L 275.3 497.4 L 274.2 500.7 L 272.7 500.7 L 276.6 489.4 L 278.5 489.4 L 282.5 500.7 L 281.0 500.7 M 275.8 496.1 L 279.4 496.1 L 277.5 491.0 L 275.8 496.1 \" fill=\"#000000\"/>\n",
        "<path d=\"M 283.0 488.6 L 284.1 488.6 L 284.1 492.0 L 283.0 492.0 L 283.0 488.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 287.9 488.3 L 287.9 503.8 L 284.5 503.8 L 284.5 502.7 L 286.5 502.7 L 286.5 489.5 L 284.5 489.5 L 284.5 488.3 L 287.9 488.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 373.4,408.6 L 392.7,419.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 392.7,419.4 L 411.7,408.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 411.7,408.1 L 411.4,386.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 416.1,404.7 L 415.9,389.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-2\" d=\"M 431.0,418.9 L 411.7,408.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 411.4,386.0 L 430.5,374.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 430.5,374.7 L 449.7,385.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 449.7,385.5 L 457.5,380.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 457.5,380.9 L 465.3,376.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 449.7,385.5 L 450.0,407.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 450.0,407.6 L 458.0,412.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-9 atom-7 atom-10\" d=\"M 450.0,407.6 L 431.0,418.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-7 atom-10\" d=\"M 444.9,405.5 L 431.6,413.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 469.4,422.3 L 469.5,431.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 469.5,431.4 L 469.6,440.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-6\" d=\"M 465.9 374.3 Q 465.9 372.7, 466.6 371.9 Q 467.4 371.1, 468.8 371.1 Q 470.1 371.1, 470.9 371.9 Q 471.6 372.7, 471.6 374.3 Q 471.6 375.8, 470.9 376.6 Q 470.1 377.5, 468.8 377.5 Q 467.4 377.5, 466.6 376.6 Q 465.9 375.8, 465.9 374.3 M 468.8 376.8 Q 469.7 376.8, 470.2 376.2 Q 470.7 375.5, 470.7 374.3 Q 470.7 373.0, 470.2 372.4 Q 469.7 371.8, 468.8 371.8 Q 467.8 371.8, 467.3 372.4 Q 466.8 373.0, 466.8 374.3 Q 466.8 375.5, 467.3 376.2 Q 467.8 376.8, 468.8 376.8 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-6\" d=\"M 472.4 371.1 L 473.2 371.1 L 473.2 373.8 L 476.4 373.8 L 476.4 371.1 L 477.3 371.1 L 477.3 377.4 L 476.4 377.4 L 476.4 374.5 L 473.2 374.5 L 473.2 377.4 L 472.4 377.4 L 472.4 371.1 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-8\" d=\"M 466.4 418.5 Q 466.4 417.0, 467.2 416.1 Q 467.9 415.3, 469.3 415.3 Q 470.7 415.3, 471.4 416.1 Q 472.2 417.0, 472.2 418.5 Q 472.2 420.0, 471.4 420.9 Q 470.7 421.7, 469.3 421.7 Q 467.9 421.7, 467.2 420.9 Q 466.4 420.0, 466.4 418.5 M 469.3 421.0 Q 470.3 421.0, 470.8 420.4 Q 471.3 419.7, 471.3 418.5 Q 471.3 417.2, 470.8 416.6 Q 470.3 416.0, 469.3 416.0 Q 468.4 416.0, 467.8 416.6 Q 467.3 417.2, 467.3 418.5 Q 467.3 419.7, 467.8 420.4 Q 468.4 421.0, 469.3 421.0 \" fill=\"#FF0000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 638.3,436.7 L 637.0,427.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 884.2,398.8 L 890.0,406.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 890.0,406.1 L 895.7,413.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 902.6,416.9 L 912.5,415.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 953.1,394.3 L 963.4,407.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 969.3,407.1 L 992.8,403.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-5 atom-7\" d=\"M 969.3,407.1 L 960.5,429.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 960.5,429.2 L 937.1,432.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 956.3,425.0 L 939.9,427.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 895.8 417.4 Q 895.8 415.8, 896.6 414.9 Q 897.4 414.0, 898.9 414.0 Q 900.4 414.0, 901.2 414.9 Q 902.0 415.8, 902.0 417.4 Q 902.0 419.1, 901.2 420.0 Q 900.4 420.9, 898.9 420.9 Q 897.4 420.9, 896.6 420.0 Q 895.8 419.1, 895.8 417.4 M 898.9 420.2 Q 899.9 420.2, 900.5 419.5 Q 901.0 418.8, 901.0 417.4 Q 901.0 416.1, 900.5 415.5 Q 899.9 414.8, 898.9 414.8 Q 897.9 414.8, 897.3 415.4 Q 896.7 416.1, 896.7 417.4 Q 896.7 418.8, 897.3 419.5 Q 897.9 420.2, 898.9 420.2 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 898.8 499.4 L 901.2 499.4 L 901.2 491.0 L 898.5 491.8 L 898.1 490.9 L 901.6 489.3 L 902.8 489.5 L 902.8 499.4 L 905.0 499.4 L 905.0 500.7 L 898.8 500.7 L 898.8 499.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 910.3 488.3 L 911.7 488.3 L 911.7 503.8 L 910.3 503.8 L 910.3 488.3 \" fill=\"#000000\"/>\n",
@@ -18786,26 +18858,25 @@
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        "<path d=\"M 961.2 488.6 L 962.4 488.6 L 962.4 492.0 L 961.2 492.0 L 961.2 488.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 966.1 488.3 L 966.1 503.8 L 962.7 503.8 L 962.7 502.7 L 964.8 502.7 L 964.8 489.5 L 962.7 489.5 L 962.7 488.3 L 966.1 488.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1053.6,390.6 L 1058.8,397.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1058.8,397.7 L 1063.9,404.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1070.0,408.2 L 1079.3,407.2\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1079.3,407.2 L 1088.6,406.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1088.6,406.3 L 1097.6,386.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1094.0,405.1 L 1100.3,390.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-2\" d=\"M 1101.5,424.2 L 1088.6,406.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1097.6,386.1 L 1119.6,383.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1119.6,383.9 L 1132.6,401.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1118.0,389.1 L 1127.0,401.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1132.6,401.8 L 1141.9,400.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1141.9,400.9 L 1151.1,399.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-5 atom-8\" d=\"M 1132.6,401.8 L 1123.5,422.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1156.2,395.9 L 1159.9,387.6\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1159.9,387.6 L 1163.6,379.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1123.5,422.0 L 1136.4,439.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-8 atom-10\" d=\"M 1123.5,422.0 L 1101.5,424.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-8 atom-10\" d=\"M 1119.8,417.9 L 1104.4,419.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 1063.7 408.5 Q 1063.7 407.0, 1064.4 406.2 Q 1065.2 405.3, 1066.6 405.3 Q 1068.0 405.3, 1068.7 406.2 Q 1069.4 407.0, 1069.4 408.5 Q 1069.4 410.0, 1068.7 410.9 Q 1067.9 411.8, 1066.6 411.8 Q 1065.2 411.8, 1064.4 410.9 Q 1063.7 410.0, 1063.7 408.5 M 1066.6 411.1 Q 1067.5 411.1, 1068.0 410.4 Q 1068.6 409.8, 1068.6 408.5 Q 1068.6 407.3, 1068.0 406.7 Q 1067.5 406.0, 1066.6 406.0 Q 1065.6 406.0, 1065.1 406.7 Q 1064.6 407.3, 1064.6 408.5 Q 1064.6 409.8, 1065.1 410.4 Q 1065.6 411.1, 1066.6 411.1 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-6\" d=\"M 1151.7 399.6 Q 1151.7 398.1, 1152.4 397.3 Q 1153.2 396.4, 1154.6 396.4 Q 1156.0 396.4, 1156.7 397.3 Q 1157.4 398.1, 1157.4 399.6 Q 1157.4 401.1, 1156.7 402.0 Q 1155.9 402.8, 1154.6 402.8 Q 1153.2 402.8, 1152.4 402.0 Q 1151.7 401.1, 1151.7 399.6 M 1154.6 402.1 Q 1155.5 402.1, 1156.0 401.5 Q 1156.6 400.9, 1156.6 399.6 Q 1156.6 398.4, 1156.0 397.7 Q 1155.5 397.1, 1154.6 397.1 Q 1153.6 397.1, 1153.1 397.7 Q 1152.6 398.4, 1152.6 399.6 Q 1152.6 400.9, 1153.1 401.5 Q 1153.6 402.1, 1154.6 402.1 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1039.2,402.7 L 1046.3,408.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 1046.3,408.9 L 1053.4,415.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 1053.4,415.1 L 1075.8,407.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 1082.9,413.7 L 1090.0,419.9\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1097.3,421.9 L 1106.7,418.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1106.7,418.7 L 1116.1,415.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1116.1,415.5 L 1120.7,392.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1121.4,412.9 L 1124.7,396.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-4\" d=\"M 1133.9,431.2 L 1116.1,415.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1120.7,392.3 L 1143.2,384.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1143.2,384.6 L 1161.0,400.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1142.7,390.5 L 1155.2,401.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1161.0,400.3 L 1156.4,423.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1156.4,423.5 L 1133.9,431.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1151.5,420.2 L 1135.8,425.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1026.7 396.1 L 1027.6 396.1 L 1027.6 399.0 L 1031.1 399.0 L 1031.1 396.1 L 1032.0 396.1 L 1032.0 402.8 L 1031.1 402.8 L 1031.1 399.7 L 1027.6 399.7 L 1027.6 402.8 L 1026.7 402.8 L 1026.7 396.1 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-0\" d=\"M 1032.4 399.5 Q 1032.4 397.9, 1033.2 397.0 Q 1034.0 396.1, 1035.5 396.1 Q 1037.0 396.1, 1037.8 397.0 Q 1038.6 397.9, 1038.6 399.5 Q 1038.6 401.1, 1037.8 402.0 Q 1037.0 403.0, 1035.5 403.0 Q 1034.0 403.0, 1033.2 402.0 Q 1032.4 401.1, 1032.4 399.5 M 1035.5 402.2 Q 1036.6 402.2, 1037.1 401.5 Q 1037.7 400.8, 1037.7 399.5 Q 1037.7 398.2, 1037.1 397.5 Q 1036.6 396.8, 1035.5 396.8 Q 1034.5 396.8, 1033.9 397.5 Q 1033.4 398.1, 1033.4 399.5 Q 1033.4 400.8, 1033.9 401.5 Q 1034.5 402.2, 1035.5 402.2 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-3\" d=\"M 1090.6 423.1 Q 1090.6 421.5, 1091.4 420.6 Q 1092.1 419.7, 1093.6 419.7 Q 1095.1 419.7, 1095.9 420.6 Q 1096.7 421.5, 1096.7 423.1 Q 1096.7 424.8, 1095.9 425.7 Q 1095.1 426.6, 1093.6 426.6 Q 1092.2 426.6, 1091.4 425.7 Q 1090.6 424.8, 1090.6 423.1 M 1093.6 425.9 Q 1094.7 425.9, 1095.2 425.2 Q 1095.8 424.5, 1095.8 423.1 Q 1095.8 421.8, 1095.2 421.2 Q 1094.7 420.5, 1093.6 420.5 Q 1092.6 420.5, 1092.1 421.2 Q 1091.5 421.8, 1091.5 423.1 Q 1091.5 424.5, 1092.1 425.2 Q 1092.6 425.9, 1093.6 425.9 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 1068.8 499.4 L 1071.2 499.4 L 1071.2 491.0 L 1068.5 491.8 L 1068.1 490.9 L 1071.6 489.3 L 1072.8 489.5 L 1072.8 499.4 L 1075.0 499.4 L 1075.0 500.7 L 1068.8 500.7 L 1068.8 499.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1080.3 488.3 L 1081.7 488.3 L 1081.7 503.8 L 1080.3 503.8 L 1080.3 488.3 \" fill=\"#000000\"/>\n",
@@ -18821,29 +18892,27 @@
        "<path d=\"M 1123.9 489.4 L 1130.6 489.4 L 1130.6 490.7 L 1125.4 490.7 L 1125.4 494.1 L 1130.1 494.1 L 1130.1 495.4 L 1125.4 495.4 L 1125.4 499.4 L 1130.8 499.4 L 1130.8 500.7 L 1123.9 500.7 L 1123.9 489.4 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1131.2 488.6 L 1132.4 488.6 L 1132.4 492.0 L 1131.2 492.0 L 1131.2 488.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1136.1 488.3 L 1136.1 503.8 L 1132.7 503.8 L 1132.7 502.7 L 1134.8 502.7 L 1134.8 489.5 L 1132.7 489.5 L 1132.7 488.3 L 1136.1 488.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 31.1,569.2 L 37.5,575.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 37.5,575.1 L 44.0,581.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 50.8,583.2 L 59.7,580.4\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 59.7,580.4 L 68.5,577.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 68.5,577.7 L 73.4,556.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 73.5,575.4 L 77.0,560.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-2\" d=\"M 84.7,592.7 L 68.5,577.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 73.4,556.1 L 94.5,549.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 94.5,549.5 L 110.7,564.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 93.9,555.0 L 105.3,565.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 110.7,564.6 L 119.6,561.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 119.6,561.8 L 128.4,559.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-5 atom-8\" d=\"M 110.7,564.6 L 105.9,586.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 135.3,561.2 L 141.7,567.1\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 141.7,567.1 L 148.1,573.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 105.9,586.1 L 112.6,592.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 112.6,592.4 L 119.4,598.6\" style=\"fill:none;fill-rule:evenodd;stroke:#7F4C19;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-8 atom-10\" d=\"M 105.9,586.1 L 84.7,592.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-8 atom-10\" d=\"M 101.4,582.9 L 86.6,587.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-1\" d=\"M 44.5 584.2 Q 44.5 582.7, 45.2 581.9 Q 46.0 581.1, 47.4 581.1 Q 48.8 581.1, 49.5 581.9 Q 50.3 582.7, 50.3 584.2 Q 50.3 585.8, 49.5 586.6 Q 48.7 587.5, 47.4 587.5 Q 46.0 587.5, 45.2 586.6 Q 44.5 585.8, 44.5 584.2 M 47.4 586.8 Q 48.3 586.8, 48.8 586.1 Q 49.4 585.5, 49.4 584.2 Q 49.4 583.0, 48.8 582.4 Q 48.3 581.8, 47.4 581.8 Q 46.4 581.8, 45.9 582.4 Q 45.4 583.0, 45.4 584.2 Q 45.4 585.5, 45.9 586.1 Q 46.4 586.8, 47.4 586.8 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-6\" d=\"M 129.0 558.0 Q 129.0 556.5, 129.7 555.7 Q 130.5 554.8, 131.8 554.8 Q 133.2 554.8, 134.0 555.7 Q 134.7 556.5, 134.7 558.0 Q 134.7 559.5, 134.0 560.4 Q 133.2 561.3, 131.8 561.3 Q 130.5 561.3, 129.7 560.4 Q 129.0 559.5, 129.0 558.0 M 131.8 560.5 Q 132.8 560.5, 133.3 559.9 Q 133.8 559.3, 133.8 558.0 Q 133.8 556.8, 133.3 556.2 Q 132.8 555.5, 131.8 555.5 Q 130.9 555.5, 130.4 556.2 Q 129.9 556.8, 129.9 558.0 Q 129.9 559.3, 130.4 559.9 Q 130.9 560.5, 131.8 560.5 \" fill=\"#FF0000\"/>\n",
-       "<path class=\"atom-9\" d=\"M 123.0 601.0 Q 123.6 601.1, 123.9 601.5 Q 124.2 601.9, 124.2 602.4 Q 124.2 603.3, 123.7 603.8 Q 123.1 604.3, 122.1 604.3 L 120.0 604.3 L 120.0 598.0 L 121.8 598.0 Q 122.9 598.0, 123.4 598.4 Q 124.0 598.9, 124.0 599.7 Q 124.0 600.6, 123.0 601.0 M 120.8 598.7 L 120.8 600.7 L 121.8 600.7 Q 122.4 600.7, 122.7 600.4 Q 123.1 600.2, 123.1 599.7 Q 123.1 598.7, 121.8 598.7 L 120.8 598.7 M 122.1 603.6 Q 122.7 603.6, 123.0 603.3 Q 123.3 603.0, 123.3 602.4 Q 123.3 601.9, 123.0 601.6 Q 122.6 601.4, 121.9 601.4 L 120.8 601.4 L 120.8 603.6 L 122.1 603.6 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-9\" d=\"M 125.6 599.7 L 125.7 600.3 Q 126.2 599.6, 127.0 599.6 Q 127.2 599.6, 127.6 599.7 L 127.4 600.5 Q 127.1 600.4, 126.9 600.4 Q 126.5 600.4, 126.2 600.5 Q 126.0 600.7, 125.8 601.0 L 125.8 604.3 L 125.0 604.3 L 125.0 599.7 L 125.6 599.7 \" fill=\"#7F4C19\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 26.9,556.8 L 30.1,566.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 30.1,566.1 L 33.2,575.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 38.3,580.0 L 48.1,581.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 48.1,581.8 L 57.9,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 57.9,583.7 L 65.7,606.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 63.6,585.5 L 69.0,601.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-11 atom-11 atom-2\" d=\"M 73.4,565.8 L 57.9,583.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 65.7,606.1 L 89.0,610.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 89.0,610.6 L 104.5,592.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 87.7,604.8 L 98.6,592.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 104.5,592.7 L 127.8,597.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-10 atom-5\" d=\"M 96.7,570.3 L 104.5,592.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 127.8,597.2 L 143.3,579.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 126.5,591.4 L 137.4,578.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 143.3,579.3 L 135.5,556.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 135.5,556.8 L 112.3,552.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 131.2,560.8 L 114.9,557.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 112.3,552.4 L 96.7,570.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 96.7,570.3 L 73.4,565.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-10 atom-11\" d=\"M 92.3,574.3 L 76.0,571.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-1\" d=\"M 31.5 579.3 Q 31.5 577.7, 32.3 576.8 Q 33.1 575.9, 34.6 575.9 Q 36.1 575.9, 36.9 576.8 Q 37.7 577.7, 37.7 579.3 Q 37.7 580.9, 36.9 581.8 Q 36.1 582.8, 34.6 582.8 Q 33.1 582.8, 32.3 581.8 Q 31.5 580.9, 31.5 579.3 M 34.6 582.0 Q 35.7 582.0, 36.2 581.3 Q 36.8 580.6, 36.8 579.3 Q 36.8 578.0, 36.2 577.3 Q 35.7 576.6, 34.6 576.6 Q 33.6 576.6, 33.0 577.3 Q 32.5 577.9, 32.5 579.3 Q 32.5 580.6, 33.0 581.3 Q 33.6 582.0, 34.6 582.0 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 48.8 669.4 L 51.2 669.4 L 51.2 661.0 L 48.5 661.8 L 48.1 660.9 L 51.6 659.3 L 52.8 659.5 L 52.8 669.4 L 55.0 669.4 L 55.0 670.7 L 48.8 670.7 L 48.8 669.4 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 60.3 658.3 L 61.7 658.3 L 61.7 673.8 L 60.3 673.8 L 60.3 658.3 \" fill=\"#000000\"/>\n",
@@ -18859,1085 +18928,1091 @@
        "<path d=\"M 103.9 659.4 L 110.6 659.4 L 110.6 660.7 L 105.4 660.7 L 105.4 664.1 L 110.1 664.1 L 110.1 665.4 L 105.4 665.4 L 105.4 669.4 L 110.8 669.4 L 110.8 670.7 L 103.9 670.7 L 103.9 659.4 \" fill=\"#000000\"/>\n",
        "<path d=\"M 111.2 658.6 L 112.4 658.6 L 112.4 662.0 L 111.2 662.0 L 111.2 658.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 116.1 658.3 L 116.1 673.8 L 112.7 673.8 L 112.7 672.7 L 114.8 672.7 L 114.8 659.5 L 112.7 659.5 L 112.7 658.3 L 116.1 658.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 217.1,566.9 L 222.9,573.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 222.9,573.2 L 228.7,579.5\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 235.5,582.4 L 244.6,580.3\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 244.6,580.3 L 253.7,578.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 253.7,578.3 L 260.2,557.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 258.9,576.4 L 263.5,561.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-2\" d=\"M 268.7,594.5 L 253.7,578.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 260.2,557.2 L 281.8,552.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1067.9,1069.5 L 1088.4,1057.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 1073.3,1071.8 L 1087.7,1063.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 1088.4,1057.6 L 1109.0,1069.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1109.0,1069.5 L 1117.7,1064.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 1117.7,1064.5 L 1126.4,1059.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-11 atom-5\" d=\"M 1109.0,1093.2 L 1109.0,1069.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-12 atom-11 atom-5\" d=\"M 1104.2,1089.6 L 1104.2,1073.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1132.6,1059.4 L 1141.3,1064.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1141.3,1064.5 L 1150.0,1069.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1132.9,1065.1 L 1139.0,1068.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 1139.0,1068.6 L 1145.1,1072.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1150.0,1069.5 L 1150.0,1079.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 1150.0,1079.4 L 1150.0,1089.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1146.9,1095.0 L 1138.2,1100.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 1138.2,1100.0 L 1129.5,1105.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1127.1,1105.1 L 1127.1,1114.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1127.1,1114.9 L 1127.1,1124.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1131.9,1105.1 L 1131.9,1114.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 1131.9,1114.9 L 1131.9,1124.8\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-11\" d=\"M 1129.5,1105.1 L 1109.0,1093.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-6\" d=\"M 1128.0 1054.3 L 1130.2 1057.8 Q 1130.4 1058.2, 1130.8 1058.8 Q 1131.1 1059.5, 1131.2 1059.5 L 1131.2 1054.3 L 1132.1 1054.3 L 1132.1 1061.0 L 1131.1 1061.0 L 1128.8 1057.1 Q 1128.5 1056.6, 1128.2 1056.1 Q 1127.9 1055.6, 1127.8 1055.4 L 1127.8 1061.0 L 1127.0 1061.0 L 1127.0 1054.3 L 1128.0 1054.3 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 1148.6 1089.8 L 1150.8 1093.4 Q 1151.0 1093.8, 1151.3 1094.4 Q 1151.7 1095.0, 1151.7 1095.1 L 1151.7 1089.8 L 1152.6 1089.8 L 1152.6 1096.6 L 1151.7 1096.6 L 1149.3 1092.7 Q 1149.0 1092.2, 1148.7 1091.7 Q 1148.5 1091.2, 1148.4 1091.0 L 1148.4 1096.6 L 1147.5 1096.6 L 1147.5 1089.8 L 1148.6 1089.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-8\" d=\"M 1153.4 1089.8 L 1154.3 1089.8 L 1154.3 1092.7 L 1157.7 1092.7 L 1157.7 1089.8 L 1158.7 1089.8 L 1158.7 1096.6 L 1157.7 1096.6 L 1157.7 1093.5 L 1154.3 1093.5 L 1154.3 1096.6 L 1153.4 1096.6 L 1153.4 1089.8 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-10\" d=\"M 1126.4 1128.8 Q 1126.4 1127.2, 1127.2 1126.3 Q 1128.0 1125.4, 1129.5 1125.4 Q 1131.0 1125.4, 1131.8 1126.3 Q 1132.6 1127.2, 1132.6 1128.8 Q 1132.6 1130.4, 1131.8 1131.4 Q 1131.0 1132.3, 1129.5 1132.3 Q 1128.0 1132.3, 1127.2 1131.4 Q 1126.4 1130.4, 1126.4 1128.8 M 1129.5 1131.5 Q 1130.5 1131.5, 1131.1 1130.8 Q 1131.6 1130.1, 1131.6 1128.8 Q 1131.6 1127.5, 1131.1 1126.8 Q 1130.5 1126.1, 1129.5 1126.1 Q 1128.5 1126.1, 1127.9 1126.8 Q 1127.4 1127.5, 1127.4 1128.8 Q 1127.4 1130.2, 1127.9 1130.8 Q 1128.5 1131.5, 1129.5 1131.5 \" fill=\"#FF0000\"/>\n",
        "<path d=\"M 1066.3 1171.5 Q 1066.7 1170.5, 1067.7 1169.9 Q 1068.7 1169.3, 1070.1 1169.3 Q 1071.8 1169.3, 1072.7 1170.2 Q 1073.7 1171.1, 1073.7 1172.8 Q 1073.7 1174.4, 1072.5 1176.0 Q 1071.2 1177.6, 1068.7 1179.4 L 1073.9 1179.4 L 1073.9 1180.7 L 1066.3 1180.7 L 1066.3 1179.6 Q 1068.4 1178.1, 1069.6 1177.0 Q 1070.9 1175.9, 1071.5 1174.9 Q 1072.1 1173.9, 1072.1 1172.8 Q 1072.1 1171.8, 1071.6 1171.2 Q 1071.0 1170.5, 1070.1 1170.5 Q 1069.2 1170.5, 1068.5 1170.9 Q 1067.9 1171.3, 1067.5 1172.1 L 1066.3 1171.5 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 1079.3 1168.3 L 1080.6 1168.3 L 1080.6 1183.8 L 1079.3 1183.8 L 1079.3 1168.3 \" fill=\"#000000\"/>\n",
@@ -19953,35 +20028,26 @@
        "<path d=\"M 1128.1 1169.4 Q 1130.1 1169.4, 1131.0 1170.3 Q 1132.0 1171.1, 1132.0 1172.7 Q 1132.0 1174.3, 1131.0 1175.2 Q 1130.0 1176.1, 1128.1 1176.1 L 1126.3 1176.1 L 1126.3 1180.7 L 1124.8 1180.7 L 1124.8 1169.4 L 1128.1 1169.4 M 1128.1 1174.8 Q 1129.2 1174.8, 1129.8 1174.3 Q 1130.4 1173.7, 1130.4 1172.7 Q 1130.4 1171.7, 1129.8 1171.2 Q 1129.3 1170.7, 1128.1 1170.7 L 1126.3 1170.7 L 1126.3 1174.8 L 1128.1 1174.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1132.5 1168.6 L 1133.7 1168.6 L 1133.7 1172.0 L 1132.5 1172.0 L 1132.5 1168.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 1137.4 1168.3 L 1137.4 1183.8 L 1134.0 1183.8 L 1134.0 1182.7 L 1136.0 1182.7 L 1136.0 1169.5 L 1134.0 1169.5 L 1134.0 1168.3 L 1137.4 1168.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 40.8,1243.2 L 49.6,1246.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 49.6,1246.6 L 58.5,1250.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 58.5,1250.0 L 59.9,1259.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 59.9,1259.1 L 61.3,1268.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 63.3,1252.1 L 64.3,1258.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 64.3,1258.4 L 65.3,1264.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 72.8,1238.5 L 65.6,1244.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 65.6,1244.3 L 58.5,1250.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 64.8,1273.0 L 73.7,1276.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 73.7,1276.4 L 82.5,1279.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 82.5,1279.8 L 99.7,1265.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 82.3,1274.3 L 94.4,1264.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 99.7,1265.9 L 120.4,1273.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 96.3,1244.1 L 99.7,1265.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 120.4,1273.9 L 137.6,1260.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 120.2,1268.4 L 132.2,1258.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 137.6,1260.0 L 134.2,1238.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 134.2,1238.2 L 113.5,1230.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 129.5,1241.1 L 115.0,1235.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 113.5,1230.2 L 96.3,1244.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 96.3,1244.1 L 87.5,1240.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 87.5,1240.7 L 78.6,1237.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 92.1,1247.2 L 85.9,1244.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 85.9,1244.8 L 79.7,1242.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-0\" d=\"M 26.8 1238.9 L 27.6 1238.9 L 27.6 1241.6 L 30.8 1241.6 L 30.8 1238.9 L 31.7 1238.9 L 31.7 1245.2 L 30.8 1245.2 L 30.8 1242.3 L 27.6 1242.3 L 27.6 1245.2 L 26.8 1245.2 L 26.8 1238.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 32.0 1245.0 Q 32.1 1244.6, 32.5 1244.4 Q 32.9 1244.1, 33.4 1244.1 Q 34.0 1244.1, 34.3 1244.5 Q 34.7 1244.8, 34.7 1245.4 Q 34.7 1246.0, 34.2 1246.6 Q 33.8 1247.2, 32.8 1247.8 L 34.8 1247.8 L 34.8 1248.3 L 32.0 1248.3 L 32.0 1247.9 Q 32.7 1247.4, 33.2 1247.0 Q 33.7 1246.6, 33.9 1246.2 Q 34.1 1245.8, 34.1 1245.4 Q 34.1 1245.0, 33.9 1244.8 Q 33.7 1244.6, 33.4 1244.6 Q 33.0 1244.6, 32.8 1244.7 Q 32.6 1244.9, 32.4 1245.2 L 32.0 1245.0 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-0\" d=\"M 36.5 1238.9 L 38.5 1242.2 Q 38.7 1242.6, 39.1 1243.2 Q 39.4 1243.7, 39.4 1243.8 L 39.4 1238.9 L 40.2 1238.9 L 40.2 1245.2 L 39.4 1245.2 L 37.2 1241.6 Q 36.9 1241.1, 36.6 1240.6 Q 36.4 1240.2, 36.3 1240.0 L 36.3 1245.2 L 35.5 1245.2 L 35.5 1238.9 L 36.5 1238.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-2\" d=\"M 60.5 1268.7 L 62.6 1272.0 Q 62.8 1272.4, 63.1 1273.0 Q 63.4 1273.6, 63.4 1273.6 L 63.4 1268.7 L 64.3 1268.7 L 64.3 1275.0 L 63.4 1275.0 L 61.2 1271.4 Q 61.0 1270.9, 60.7 1270.5 Q 60.4 1270.0, 60.3 1269.8 L 60.3 1275.0 L 59.5 1275.0 L 59.5 1268.7 L 60.5 1268.7 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-10\" d=\"M 74.3 1233.0 L 76.4 1236.3 Q 76.6 1236.6, 76.9 1237.2 Q 77.2 1237.8, 77.2 1237.9 L 77.2 1233.0 L 78.1 1233.0 L 78.1 1239.3 L 77.2 1239.3 L 75.0 1235.6 Q 74.8 1235.2, 74.5 1234.7 Q 74.2 1234.2, 74.1 1234.1 L 74.1 1239.3 L 73.3 1239.3 L 73.3 1233.0 L 74.3 1233.0 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 52.5,1271.1 L 52.5,1247.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 73.1,1283.0 L 52.5,1271.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-0\" d=\"M 72.3,1277.1 L 58.0,1268.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 52.5,1247.4 L 73.1,1235.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 58.0,1249.7 L 72.3,1241.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 73.1,1235.5 L 93.6,1247.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 93.6,1247.4 L 103.3,1244.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 103.3,1244.2 L 113.0,1241.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 98.0,1251.0 L 104.8,1248.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 104.8,1248.8 L 111.6,1246.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-7 atom-3\" d=\"M 93.6,1271.1 L 93.6,1247.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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        "<path d=\"M 59.3 1338.3 L 60.6 1338.3 L 60.6 1353.8 L 59.3 1353.8 L 59.3 1338.3 \" fill=\"#000000\"/>\n",
@@ -19997,28 +20063,34 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 301.4,1247.1 L 292.4,1250.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-10 atom-8 atom-4\" d=\"M 254.7,1243.4 L 250.7,1265.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 227.0,1264.4 L 223.1,1256.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 219.2,1248.1 L 235.3,1232.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 224.7,1249.0 L 235.9,1238.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 235.3,1232.9 L 254.7,1243.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 254.7,1243.4 L 275.5,1236.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"atom-0\" d=\"M 314.1 1242.8 Q 314.7 1243.0, 315.0 1243.3 Q 315.3 1243.7, 315.3 1244.2 Q 315.3 1245.1, 314.8 1245.6 Q 314.2 1246.1, 313.2 1246.1 L 311.1 1246.1 L 311.1 1239.8 L 312.9 1239.8 Q 314.0 1239.8, 314.5 1240.2 Q 315.1 1240.7, 315.1 1241.5 Q 315.1 1242.4, 314.1 1242.8 M 311.9 1240.5 L 311.9 1242.5 L 312.9 1242.5 Q 313.5 1242.5, 313.9 1242.2 Q 314.2 1242.0, 314.2 1241.5 Q 314.2 1240.5, 312.9 1240.5 L 311.9 1240.5 M 313.2 1245.4 Q 313.8 1245.4, 314.1 1245.1 Q 314.4 1244.8, 314.4 1244.2 Q 314.4 1243.7, 314.1 1243.5 Q 313.7 1243.2, 313.1 1243.2 L 311.9 1243.2 L 311.9 1245.4 L 313.2 1245.4 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-0\" d=\"M 316.8 1241.5 L 316.9 1242.2 Q 317.3 1241.4, 318.1 1241.4 Q 318.4 1241.4, 318.7 1241.5 L 318.6 1242.3 Q 318.2 1242.2, 318.0 1242.2 Q 317.6 1242.2, 317.3 1242.3 Q 317.1 1242.5, 316.9 1242.8 L 316.9 1246.1 L 316.1 1246.1 L 316.1 1241.5 L 316.8 1241.5 \" fill=\"#7F4C19\"/>\n",
-       "<path class=\"atom-5\" d=\"M 220.8 1264.9 L 221.6 1264.9 L 221.6 1267.6 L 224.8 1267.6 L 224.8 1264.9 L 225.7 1264.9 L 225.7 1271.2 L 224.8 1271.2 L 224.8 1268.3 L 221.6 1268.3 L 221.6 1271.2 L 220.8 1271.2 L 220.8 1264.9 \" fill=\"#0000FF\"/>\n",
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@@ -20034,27 +20106,32 @@
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 406.7,1218.5 L 411.6,1240.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 412.1,1245.6 L 400.8,1256.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 432.7,1246.6 L 411.6,1240.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 395.4,1255.1 L 400.3,1276.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 400.3,1276.7 L 421.4,1283.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 404.7,1273.4 L 419.5,1278.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 421.4,1283.2 L 437.6,1268.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 437.6,1268.1 L 458.7,1274.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 442.1,1264.9 L 456.9,1269.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-10 atom-5\" d=\"M 432.7,1246.6 L 437.6,1268.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 458.7,1274.7 L 465.4,1268.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 465.4,1268.5 L 472.0,1262.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 474.1,1255.9 L 472.1,1247.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 472.1,1247.0 L 470.0,1238.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 469.2,1254.3 L 467.8,1248.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 467.8,1248.0 L 466.3,1241.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 470.0,1238.1 L 448.9,1231.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 448.9,1231.6 L 432.7,1246.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 449.5,1237.1 L 438.1,1247.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-7\" d=\"M 473.6 1256.5 L 475.6 1259.8 Q 475.8 1260.1, 476.2 1260.7 Q 476.5 1261.3, 476.5 1261.4 L 476.5 1256.5 L 477.3 1256.5 L 477.3 1262.8 L 476.5 1262.8 L 474.3 1259.1 Q 474.0 1258.7, 473.7 1258.2 Q 473.5 1257.7, 473.4 1257.6 L 473.4 1262.8 L 472.6 1262.8 L 472.6 1256.5 L 473.6 1256.5 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 453.4,1226.3 L 450.7,1235.7\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 450.7,1235.7 L 448.0,1245.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 448.0,1245.0 L 464.4,1262.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 447.0,1250.9 L 458.5,1262.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-9 atom-9 atom-1\" d=\"M 425.0,1250.7 L 448.0,1245.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 464.4,1262.1 L 457.9,1284.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 457.9,1284.9 L 447.9,1287.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 447.9,1287.3 L 438.0,1289.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 453.7,1281.0 L 446.8,1282.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 446.8,1282.7 L 439.8,1284.5\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 431.7,1287.3 L 425.0,1280.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 425.0,1280.4 L 418.4,1273.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 418.4,1273.5 L 408.1,1273.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 408.1,1273.8 L 397.8,1274.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 425.0,1250.7 L 418.4,1273.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-9 atom-5\" d=\"M 428.5,1255.4 L 423.9,1271.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 393.3,1270.3 L 389.9,1261.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 389.9,1261.1 L 386.6,1252.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 386.6,1252.0 L 405.3,1237.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 392.3,1253.5 L 405.4,1243.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 405.3,1237.4 L 425.0,1250.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-0\" d=\"M 451.5 1222.2 Q 451.5 1220.6, 452.3 1219.7 Q 453.1 1218.8, 454.6 1218.8 Q 456.1 1218.8, 456.9 1219.7 Q 457.7 1220.6, 457.7 1222.2 Q 457.7 1223.9, 456.9 1224.8 Q 456.0 1225.7, 454.6 1225.7 Q 453.1 1225.7, 452.3 1224.8 Q 451.5 1223.9, 451.5 1222.2 M 454.6 1225.0 Q 455.6 1225.0, 456.2 1224.3 Q 456.7 1223.6, 456.7 1222.2 Q 456.7 1220.9, 456.2 1220.3 Q 455.6 1219.6, 454.6 1219.6 Q 453.6 1219.6, 453.0 1220.2 Q 452.4 1220.9, 452.4 1222.2 Q 452.4 1223.6, 453.0 1224.3 Q 453.6 1225.0, 454.6 1225.0 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-0\" d=\"M 458.5 1218.9 L 459.4 1218.9 L 459.4 1221.8 L 462.8 1221.8 L 462.8 1218.9 L 463.7 1218.9 L 463.7 1225.6 L 462.8 1225.6 L 462.8 1222.5 L 459.4 1222.5 L 459.4 1225.6 L 458.5 1225.6 L 458.5 1218.9 \" fill=\"#FF0000\"/>\n",
+       "<path class=\"atom-4\" d=\"M 433.3 1287.2 L 435.5 1290.8 Q 435.8 1291.1, 436.1 1291.8 Q 436.5 1292.4, 436.5 1292.4 L 436.5 1287.2 L 437.4 1287.2 L 437.4 1293.9 L 436.5 1293.9 L 434.1 1290.0 Q 433.8 1289.6, 433.5 1289.1 Q 433.2 1288.5, 433.2 1288.4 L 433.2 1293.9 L 432.3 1293.9 L 432.3 1287.2 L 433.3 1287.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 386.1 1270.9 L 387.0 1270.9 L 387.0 1273.8 L 390.4 1273.8 L 390.4 1270.9 L 391.3 1270.9 L 391.3 1277.6 L 390.4 1277.6 L 390.4 1274.5 L 387.0 1274.5 L 387.0 1277.6 L 386.1 1277.6 L 386.1 1270.9 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 393.2 1270.9 L 395.4 1274.5 Q 395.6 1274.8, 396.0 1275.4 Q 396.3 1276.1, 396.3 1276.1 L 396.3 1270.9 L 397.2 1270.9 L 397.2 1277.6 L 396.3 1277.6 L 393.9 1273.7 Q 393.7 1273.3, 393.4 1272.7 Q 393.1 1272.2, 393.0 1272.1 L 393.0 1277.6 L 392.1 1277.6 L 392.1 1270.9 L 393.2 1270.9 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 386.3 1341.5 Q 386.7 1340.5, 387.7 1339.9 Q 388.7 1339.3, 390.1 1339.3 Q 391.8 1339.3, 392.7 1340.2 Q 393.7 1341.1, 393.7 1342.8 Q 393.7 1344.4, 392.5 1346.0 Q 391.2 1347.6, 388.7 1349.4 L 393.9 1349.4 L 393.9 1350.7 L 386.3 1350.7 L 386.3 1349.6 Q 388.4 1348.1, 389.6 1347.0 Q 390.9 1345.9, 391.5 1344.9 Q 392.1 1343.9, 392.1 1342.8 Q 392.1 1341.8, 391.6 1341.2 Q 391.0 1340.5, 390.1 1340.5 Q 389.2 1340.5, 388.5 1340.9 Q 387.9 1341.3, 387.5 1342.1 L 386.3 1341.5 \" fill=\"#000000\"/>\n",
        "<path d=\"\" fill=\"#000000\"/>\n",
        "<path d=\"M 399.3 1338.3 L 400.6 1338.3 L 400.6 1353.8 L 399.3 1353.8 L 399.3 1338.3 \" fill=\"#000000\"/>\n",
@@ -20070,30 +20147,30 @@
        "<path d=\"M 448.1 1339.4 Q 450.1 1339.4, 451.0 1340.3 Q 452.0 1341.1, 452.0 1342.7 Q 452.0 1344.3, 451.0 1345.2 Q 450.0 1346.1, 448.1 1346.1 L 446.3 1346.1 L 446.3 1350.7 L 444.8 1350.7 L 444.8 1339.4 L 448.1 1339.4 M 448.1 1344.8 Q 449.2 1344.8, 449.8 1344.3 Q 450.4 1343.7, 450.4 1342.7 Q 450.4 1341.7, 449.8 1341.2 Q 449.3 1340.7, 448.1 1340.7 L 446.3 1340.7 L 446.3 1344.8 L 448.1 1344.8 \" fill=\"#000000\"/>\n",
        "<path d=\"M 452.5 1338.6 L 453.7 1338.6 L 453.7 1342.0 L 452.5 1342.0 L 452.5 1338.6 \" fill=\"#000000\"/>\n",
        "<path d=\"M 457.4 1338.3 L 457.4 1353.8 L 454.0 1353.8 L 454.0 1352.7 L 456.0 1352.7 L 456.0 1339.5 L 454.0 1339.5 L 454.0 1338.3 L 457.4 1338.3 \" fill=\"#000000\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 564.3,1264.9 L 564.3,1242.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 568.7,1261.6 L 568.7,1246.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-0\" d=\"M 583.4,1275.9 L 564.3,1264.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 564.3,1242.8 L 572.4,1238.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 572.4,1238.1 L 580.5,1233.4\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 586.3,1233.4 L 594.5,1238.1\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 594.5,1238.1 L 602.6,1242.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 586.6,1238.6 L 592.2,1241.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 592.2,1241.9 L 597.9,1245.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 602.6,1242.8 L 621.7,1231.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-8 atom-3\" d=\"M 602.6,1264.9 L 602.6,1242.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 621.7,1231.7 L 640.9,1242.8\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 622.4,1237.2 L 635.8,1245.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 640.9,1242.8 L 640.9,1264.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 640.9,1264.9 L 632.8,1269.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 632.8,1269.6 L 624.6,1274.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 636.2,1262.5 L 630.5,1265.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 630.5,1265.7 L 624.9,1269.0\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 618.8,1274.3 L 610.7,1269.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 610.7,1269.6 L 602.6,1264.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 602.6,1264.9 L 583.4,1275.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 597.5,1262.7 L 584.1,1270.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"atom-2\" d=\"M 582.0 1228.6 L 584.1 1231.9 Q 584.3 1232.2, 584.6 1232.8 Q 584.9 1233.4, 585.0 1233.5 L 585.0 1228.6 L 585.8 1228.6 L 585.8 1234.9 L 584.9 1234.9 L 582.7 1231.2 Q 582.5 1230.8, 582.2 1230.3 Q 581.9 1229.8, 581.9 1229.7 L 581.9 1234.9 L 581.0 1234.9 L 581.0 1228.6 L 582.0 1228.6 \" fill=\"#0000FF\"/>\n",
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+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 557.9,1271.1 L 557.9,1247.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 562.6,1267.6 L 562.6,1251.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 557.9,1247.4 L 566.6,1242.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 590.3,1242.4 L 599.0,1247.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 587.9,1246.5 L 594.0,1250.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 599.0,1247.4 L 619.5,1235.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-10 atom-8 atom-3\" d=\"M 599.0,1271.1 L 599.0,1247.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 619.5,1235.5 L 640.0,1247.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 620.2,1241.4 L 634.6,1249.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 640.0,1247.4 L 640.0,1257.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 640.0,1257.3 L 640.0,1267.2\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 636.9,1272.9 L 628.2,1277.9\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 628.2,1277.9 L 619.5,1283.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 631.9,1270.3 L 625.8,1273.8\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 625.8,1273.8 L 619.7,1277.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 619.5,1283.0 L 599.0,1271.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 599.0,1271.1 L 578.4,1283.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 593.5,1268.8 L 579.1,1277.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
+       "<path class=\"atom-2\" d=\"M 576.9 1232.2 L 579.1 1235.7 Q 579.4 1236.1, 579.7 1236.7 Q 580.1 1237.4, 580.1 1237.4 L 580.1 1232.2 L 581.0 1232.2 L 581.0 1238.9 L 580.1 1238.9 L 577.7 1235.0 Q 577.4 1234.5, 577.1 1234.0 Q 576.8 1233.5, 576.8 1233.3 L 576.8 1238.9 L 575.9 1238.9 L 575.9 1232.2 L 576.9 1232.2 \" fill=\"#0000FF\"/>\n",
+       "<path class=\"atom-6\" d=\"M 638.6 1267.8 L 640.8 1271.3 Q 641.0 1271.7, 641.3 1272.3 Q 641.7 1272.9, 641.7 1273.0 L 641.7 1267.8 L 642.6 1267.8 L 642.6 1274.5 L 641.7 1274.5 L 639.3 1270.6 Q 639.0 1270.1, 638.7 1269.6 Q 638.5 1269.1, 638.4 1268.9 L 638.4 1274.5 L 637.5 1274.5 L 637.5 1267.8 L 638.6 1267.8 \" fill=\"#0000FF\"/>\n",
        "<path d=\"M 556.3 1341.5 Q 556.7 1340.5, 557.7 1339.9 Q 558.7 1339.3, 560.1 1339.3 Q 561.8 1339.3, 562.7 1340.2 Q 563.7 1341.1, 563.7 1342.8 Q 563.7 1344.4, 562.5 1346.0 Q 561.2 1347.6, 558.7 1349.4 L 563.9 1349.4 L 563.9 1350.7 L 556.3 1350.7 L 556.3 1349.6 Q 558.4 1348.1, 559.6 1347.0 Q 560.9 1345.9, 561.5 1344.9 Q 562.1 1343.9, 562.1 1342.8 Q 562.1 1341.8, 561.6 1341.2 Q 561.0 1340.5, 560.1 1340.5 Q 559.2 1340.5, 558.5 1340.9 Q 557.9 1341.3, 557.5 1342.1 L 556.3 1341.5 \" fill=\"#000000\"/>\n",
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        "<path d=\"M 569.3 1338.3 L 570.6 1338.3 L 570.6 1353.8 L 569.3 1353.8 L 569.3 1338.3 \" fill=\"#000000\"/>\n",
@@ -20109,1805 +20186,1987 @@
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        "<path d=\"M 622.5 1338.6 L 623.7 1338.6 L 623.7 1342.0 L 622.5 1342.0 L 622.5 1338.6 \" fill=\"#000000\"/>\n",
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-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 720.8,1243.2 L 729.6,1246.6\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 729.6,1246.6 L 738.5,1250.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 738.5,1250.0 L 741.9,1271.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 743.4,1252.6 L 745.8,1267.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-10 atom-10 atom-1\" d=\"M 755.7,1236.1 L 738.5,1250.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 741.9,1271.9 L 750.8,1275.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 750.8,1275.3 L 759.6,1278.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 765.5,1277.5 L 772.6,1271.7\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 772.6,1271.7 L 779.7,1265.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 764.8,1272.3 L 769.8,1268.3\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-3 atom-3 atom-4\" d=\"M 769.8,1268.3 L 774.8,1264.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 779.7,1265.9 L 800.4,1273.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-11 atom-9 atom-4\" d=\"M 776.3,1244.1 L 779.7,1265.9\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 800.4,1273.9 L 817.6,1260.0\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-5 atom-5 atom-6\" d=\"M 800.2,1268.4 L 812.2,1258.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-6 atom-6 atom-7\" d=\"M 817.6,1260.0 L 814.2,1238.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 814.2,1238.2 L 793.5,1230.2\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-7 atom-7 atom-8\" d=\"M 809.5,1241.1 L 795.0,1235.5\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 793.5,1230.2 L 776.3,1244.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 776.3,1244.1 L 755.7,1236.1\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-9 atom-9 atom-10\" d=\"M 771.6,1247.0 L 757.2,1241.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"atom-0\" d=\"M 716.5 1238.9 L 718.5 1242.2 Q 718.7 1242.6, 719.1 1243.2 Q 719.4 1243.7, 719.4 1243.8 L 719.4 1238.9 L 720.2 1238.9 L 720.2 1245.2 L 719.4 1245.2 L 717.2 1241.6 Q 716.9 1241.1, 716.6 1240.6 Q 716.4 1240.2, 716.3 1240.0 L 716.3 1245.2 L 715.5 1245.2 L 715.5 1238.9 L 716.5 1238.9 \" fill=\"#0000FF\"/>\n",
-       "<path class=\"atom-3\" d=\"M 761.2 1276.7 L 763.2 1280.0 Q 763.4 1280.3, 763.7 1280.9 Q 764.1 1281.5, 764.1 1281.6 L 764.1 1276.7 L 764.9 1276.7 L 764.9 1283.0 L 764.1 1283.0 L 761.8 1279.3 Q 761.6 1278.9, 761.3 1278.4 Q 761.1 1277.9, 761.0 1277.8 L 761.0 1283.0 L 760.2 1283.0 L 760.2 1276.7 L 761.2 1276.7 \" fill=\"#0000FF\"/>\n",
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        "</svg>"
       ],
       "text/plain": [
        "<IPython.core.display.SVG object>"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 93,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -21926,7 +22185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 94,
    "id": "43d15f4d-adc4-45ff-95a7-00c2803d0cf3",
    "metadata": {},
    "outputs": [
@@ -22043,2744 +22302,2912 @@
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        "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"1190.0\" height=\"2550.0\" x=\"0.0\" y=\"0.0\"> </rect>\n",
-       "<path class=\"bond-0 atom-0 atom-1\" d=\"M 140.9,76.9 L 117.9,68.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-1 atom-1 atom-2\" d=\"M 117.9,68.7 L 113.5,44.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-9 atom-6 atom-1\" d=\"M 99.4,84.5 L 117.9,68.7\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
-       "<path class=\"bond-2 atom-2 atom-3\" d=\"M 113.5,44.7 L 90.5,36.6\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-4 atom-4 atom-5\" d=\"M 71.9,52.4 L 76.4,76.4\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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-       "<path class=\"bond-8 atom-8 atom-9\" d=\"M 37.2,71.2 L 41.5,62.3\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2.0px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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+       "<path d=\"\" fill=\"#000000\"/>\n",
+       "<path d=\"M 256.8 2528.3 L 258.1 2528.3 L 258.1 2543.8 L 256.8 2543.8 L 256.8 2528.3 \" fill=\"#000000\"/>\n",
+       "<path d=\"\" fill=\"#000000\"/>\n",
+       "<path d=\"M 263.6 2539.4 L 266.1 2539.4 L 266.1 2531.0 L 263.4 2531.8 L 263.0 2530.9 L 266.5 2529.3 L 267.6 2529.5 L 267.6 2539.4 L 269.8 2539.4 L 269.8 2540.7 L 263.6 2540.7 L 263.6 2539.4 \" fill=\"#000000\"/>\n",
        "</svg>"
       ],
       "text/plain": [
        "<IPython.core.display.SVG object>"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 94,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -24800,7 +25227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 95,
    "id": "b2a1e895-7995-4625-a829-10ed8739e4d4",
    "metadata": {},
    "outputs": [
@@ -24810,7 +25237,7 @@
        "(1, 7)"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 95,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -24821,7 +25248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 96,
    "id": "5e7950fa-5b94-4652-bb60-066395212c3e",
    "metadata": {},
    "outputs": [
@@ -24857,12 +25284,12 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>232</th>\n",
+       "      <th>303</th>\n",
        "      <td>0</td>\n",
        "      <td>FC(F)(F)c1ccccc1</td>\n",
        "      <td>6</td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
-       "      <td>33</td>\n",
+       "      <td>29</td>\n",
        "      <td>2</td>\n",
        "      <td>[AP, FP, SE, GA, B1, B2]</td>\n",
        "    </tr>\n",
@@ -24874,7 +25301,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 96,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -24894,17 +25321,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 97,
    "id": "ef0b4943-988e-4abf-bfa8-8eea1efefbaa",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(220, 7)"
+       "(319, 7)"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 97,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -24915,7 +25342,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 98,
    "id": "7b859e1c-f5fc-47c2-ab05-6c08dace2ca4",
    "metadata": {},
    "outputs": [
@@ -24951,54 +25378,54 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>67</td>\n",
+       "      <th>16</th>\n",
+       "      <td>96</td>\n",
        "      <td>Cc1ccc2c(c1)OCO2</td>\n",
        "      <td>1</td>\n",
        "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>15</td>\n",
+       "      <td>18</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>110</td>\n",
-       "      <td>Oc1ccc(Br)cc1</td>\n",
+       "      <th>17</th>\n",
+       "      <td>123</td>\n",
+       "      <td>Cc1ccc(O)cc1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>16</td>\n",
+       "      <td>19</td>\n",
        "      <td>[AP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>112</td>\n",
-       "      <td>COc1ccc2cccnc2c1</td>\n",
+       "      <th>18</th>\n",
+       "      <td>206</td>\n",
+       "      <td>OCc1ccccc1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>17</td>\n",
-       "      <td>[AP]</td>\n",
+       "      <td>20</td>\n",
+       "      <td>[FP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>175</td>\n",
-       "      <td>COc1ccc(C)cc1</td>\n",
+       "      <th>19</th>\n",
+       "      <td>214</td>\n",
+       "      <td>COc1cc(C)cc(O)c1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>[SE]</td>\n",
+       "      <td>21</td>\n",
+       "      <td>[FP]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>176</td>\n",
-       "      <td>COc1ccc(Cl)cc1</td>\n",
+       "      <th>20</th>\n",
+       "      <td>215</td>\n",
+       "      <td>COc1cc(C)cc(OC)c1</td>\n",
        "      <td>1</td>\n",
-       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
+       "      <td><img data-content=\"rdkit/molecule\" src=\"data:image/png;base64,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\" alt=\"Mol\"/></td>\n",
        "      <td>1</td>\n",
-       "      <td>19</td>\n",
-       "      <td>[SE]</td>\n",
+       "      <td>22</td>\n",
+       "      <td>[FP]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -25008,7 +25435,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 98,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -25030,13 +25457,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 99,
    "id": "da84536f-3b75-423c-979d-3a57d6682837",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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ZzTcmZQ8NJKlSpUr64IMPJEnHjh3Tv//9b02dOlUpKSlatGjRLe9TpkwZeXt7Z5ur6eb9N7t5vrW/0qZNG7Vp00bp6enatWuX5s2bp1GjRikkJEQPP/xwrudt2LBBTz75pAYOHGiZwD1LYGCgXF1d9fjjj+caCkREREjK/C/rY8aM0ZgxY3Tt2jV9/fXXev7559W1a1edP38+13negoODFRUVlW171oT3f/5OCkrWff/73/+qUqVKdr/+n3+2sbGxWrNmjaZMmaLnnnvOsj05OVlXrlyxOjY4ONgSet0sOjrarjVmfQeTJk1S7969czymZs2adr3n7YqOjrbqzktLS9Ply5ezBX45PVurV69WQkKCVq5cafUzz1qY5M9yez5dXFw0fPhwPf/883r99de1YMECdezYMU/fVf369bV8+XKZpqn9+/dryZIlevnll+Xt7a3nnnsu179Vtwqg8/Kd/NXfj6zFKHJbXdnPz+8vP1t+/0YAAGArOtYAALDRpEmTZJqmhgwZopSUlGz7U1NT9cUXX+R6ftaqdfv377fa/vnnn9/yvjVq1NCLL76o+vXra8+ePZbtnp6eOXbo9OzZUydPnlRwcLCaNWuW7WXr6og5cXV1VYsWLSzdMjfX9Wf79u1Tnz591KFDB7377rvZ9vv4+Kh9+/bau3evGjRokGPNfw4sJKl06dJ68MEHNXz4cF25ciXX1TslqWPHjjp06FC2OpctWybDMNS+ffs8fnJruf0M8qpr165yc3PTyZMnc/zczZo1y/e1c2IYhkzTzDaR//vvv6/09HSrbZGRkdq0aZNV8JuRkaH//Oc/dq2pZs2aql69un766adcv4O8BCp/drs/m1v55JNPrN7/+9//VlpaWrZVYXOSFZTd/DMwTVPvvfeezXUMHjxYHh4eevTRR3X06FGNGDHCpvMNw1DDhg31xhtvqHTp0pbnIyQkRF5eXtn+Vv3f//1frtey5TvJ7e9Hz549dfnyZaWnp+f4e3BzaJiXn68tfyMAALAVHWsAANioZcuWWrhwoYYNG6amTZtq6NChqlu3rlJTU7V37169++67qlevnnr16pXj+aGhoerUqZNmzpypwMBAVapUSRs3btTKlSutjtu/f79GjBihv/3tb6pevbo8PDy0adMm7d+/36rLKKvr5LPPPlOVKlXk5eWl+vXra9SoUVqxYoXatm2r0aNHq0GDBsrIyNC5c+e0fv16jR07Vi1atLD58y9atEibNm1Sjx49VLFiRd24ccPSFdepU6ccz4mLi1P37t3l7e2tcePGZRuOVadOHfn7++utt97S3XffrTZt2mjo0KGqXLmy4uPjdeLECX3xxReWOdB69eqlevXqqVmzZipbtqzOnj2rN998U5UqVVL16tVzrX306NFatmyZevTooZdfflmVKlXS//73Py1YsEBDhw7NcR6svKhfv762bNmiL774QuXLl5efn59N3VWVK1fWyy+/rBdeeEGnTp3SPffco8DAQP3222/asWOHfH19s3X43Q5/f3+1bdtWc+bMUZkyZVS5cmVt3bpVH3zwgUqXLm117AsvvKAvvvhCHTt21AsvvCBvb28tWrTIsrqoi4v9/nfaf/7zn+rWrZu6du2qgQMH6o477tCVK1d0+PBh7dmzJ19hXm7Phz2sXLlSbm5u6ty5s2UFzIYNG+Y6/9zNOnfuLA8PDz3yyCOaMGGCbty4oYULF+rq1as211G6dGn1799fCxcuVKVKlXL923OzNWvWaMGCBbr//vtVpUoVmaaplStX6tq1a+rcubOkzMDtscce04cffqiqVauqYcOG2rFjhz799NNcr/tX30le/n48/PDD+uSTT9S9e3eNHDlSzZs3l7u7uy5cuKDNmzfrvvvu0wMPPCAp959vfv9GAABgMycunAAAQJG2b98+c8CAAWbFihVNDw8P09fX12zcuLE5efJkMyYmxnLcn1cFNU3TjIqKMh988EEzKCjIDAgIMB977DHLKn1ZK/D99ttv5sCBA81atWqZvr6+ZqlSpcwGDRqYb7zxhpmWlma51pkzZ8wuXbqYfn5+piSzUqVKln3Xr183X3zxRbNmzZqmh4eHGRAQYNavX98cPXq0GR0dbTlOkjl8+PA8fe7vv//efOCBB8xKlSqZnp6eZnBwsBkZGWm1umPWNbNWDcxaXTC3180rpJ4+fdp88sknzTvuuMN0d3c3y5Yta7Zq1cqcPn265ZjXX3/dbNWqlVmmTBnTw8PDrFixojlo0CDzzJkzf1n/2bNnzX79+pnBwcGmu7u7WbNmTXPOnDmWFSez2LIq6L59+8zWrVubPj4+piTLzztr9co/r8ya28qwq1evNtu3b2/6+/ubnp6eZqVKlcwHH3zQ/Prrr295/79aFfTmFT2zXLhwwezTp48ZGBho+vn5mffcc4954MCBbKtimqZpfvvtt2aLFi1MT09PMzQ01Bw/frw5a9YsU5J57do1y3G5fWc5/X7lVvNPP/1k9u3b1yxXrpzp7u5uhoaGmh06dDAXLVpkOcaW7/VWz0dObFkVdPfu3WavXr3MUqVKmX5+fuYjjzxi/vbbb9mul9vv0RdffGE2bNjQ9PLyMu+44w5z/Pjx5ldffZXtM0RGRpp169a9Zd1btmwxJZmvvvrqLY/LcuTIEfORRx4xq1atanp7e5sBAQFm8+bNzSVLllgdFxsbaw4ePNgMCQkxfX19zV69eplnzpzJdVXQv/pO8vr3IzU11Xzttdcs30+pUqXMWrVqmU899ZR5/Phxy3G5/Xxv528EAAC2MEzTNAskwQMAAECx0aVLF505cybb6pVwjrFjx2rhwoU6f/58jkOmAQCAYzAUFAAAALc0ZswYNW7cWOHh4bpy5Yo++eQTbdiwwbKwBpznhx9+0LFjx7RgwQI99dRThGoAABQwgjUAAADcUnp6uiZPnqzo6GgZhqE6deroo48+0mOPPebs0kq8li1bysfHRz179tT06dOdXQ4AACUOQ0EBAAAAAACAfLDfMk4AAAAAAABACUKwBgAAAAAAAOQDwRoAAAAAAACQDyxeICkjI0O//vqr/Pz8ZBiGs8sBAAAAAACAk5imqfj4eIWFhcnF5dY9aQRrkn799VeFh4c7uwwAAAAAAAAUEufPn1eFChVueQzBmiQ/Pz9JmV+Yv7+/k6sBAAAAAACAs8TFxSk8PNySF90KwZpkGf7p7+9PsAYAAAAAAIA8TRfG4gUAAAAAAABAPhCsAQAAAAAAAPlAsAYAAAAAAADkA3OsAQAAAACAYi09PV2pqanOLgOFiLu7u1xdXW/7OgRrAAAAAACg2Lp+/bouXLgg0zSdXQoKEcMwVKFCBZUqVeq2rkOwBgAAAAAAiqX09HRduHBBPj4+Klu2bJ5WeUTxZ5qmLl68qAsXLqh69eq31blGsAYAAAAAAIql1NRUmaapsmXLytvb29nloBApW7aszpw5o9TU1NsK1li8AAAAAAAAFGt0quHP7PU7QbAGAAAAAAAA5APBGgAAAAAAAJAPBGsAAAAAAAAlVHR0tDp37ixfX1+VLl1aUuYwydWrV0uSzpw5I8MwtG/fPqfVmB/t2rXTqFGjHH4fFi8AAAAAAAAood544w1FRUVp3759CggIkCRFRUUpMDAw39ds166dGjVqpDfffNNOVRZeBGsAAAAAAABFWEpKijw8PPJ17smTJ9W0aVNVr17dsi00NNRepd2W2/lcBcWpQ0G/+eYb9erVS2FhYVZthjc7fPiw7r33XgUEBMjPz0933XWXzp07Z9mfnJysZ555RmXKlJGvr6/uvfdeXbhwoQA/ReGz/eQldXvrW41cvtfZpQAAAAAAUGiYpqnElDSnvEzTzHOd7dq104gRIzRixAiVLl1awcHBevHFFy3XqFy5sqZPn66BAwcqICBAQ4YMkSRt375dbdu2lbe3t8LDw/Xss88qISEh1/tUrlxZK1as0LJly2QYhgYOHChJuWY0WQ4dOqTu3burVKlSCgkJ0eOPP65Lly5JkgYOHKitW7fqrbfekmEYMgxDZ86c+cvzbv7cY8aMUZkyZdS5c+c8nZeQkKD+/furVKlSKl++vF5//fU8f9e3y6kdawkJCWrYsKGeeOIJ9enTJ9v+kydP6u6779agQYM0bdo0BQQE6PDhw/Ly8rIcM2rUKH3xxRdavny5goODNXbsWPXs2VO7d++Wq6trQX6cQiM5NUOHo+Lk7spywgAAAAAAZElKTVedyeuccu9DL3eVj0feY5ilS5dq0KBB+vHHH7Vr1y79/e9/V6VKlSwh2pw5c/TSSy/pxRdflCT9/PPP6tq1q/7xj3/ogw8+0MWLFy3h3OLFi3O8x86dO9W/f3/5+/vrrbfekre391/WFRUVpcjISA0ZMkRz585VUlKSJk6cqL59+2rTpk166623dOzYMdWrV08vv/yyJKls2bJ/ed7Nn3vo0KH67rvvZJpmns4bP368Nm/erFWrVik0NFTPP/+8du/erUaNGuX5+84vpwZr3bp1U7du3XLd/8ILL6h79+6aPXu2ZVuVKlUs/46NjdUHH3ygjz76SJ06dZIkffzxxwoPD9fXX3+trl275njd5ORkJScnW97HxcXd7kcpVDzdMhsRk1MznFwJAAAAAADIj/DwcL3xxhsyDEM1a9bUzz//rDfeeMMSrHXo0EHjxo2zHN+/f3/169fPMmF/9erV9fbbbysyMlILFy60alLKUrZsWXl6esrb2zvPwz8XLlyoJk2aaMaMGZZtH374ocLDw3Xs2DHVqFFDHh4e8vHxsbpmXs6TpGrVqlnlQJMnT77leWFhYfrggw+0bNkyS4fb0qVLVaFChTx9nttVaOdYy8jI0P/+9z9NmDBBXbt21d69exUREaFJkybp/vvvlyTt3r1bqamp6tKli+W8sLAw1atXT9u3b881WJs5c6amTZtWEB/DKTzdfw/W0tKdXAkAAAAAAIWHt7urDr2cc1ZQEPe2xV133SXD+GMkWsu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       "text/plain": [
        "<Figure size 1500x500 with 1 Axes>"
       ]
@@ -25082,7 +25509,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 100,
    "id": "f0f1b34f-1b3a-4772-a071-736de555e368",
    "metadata": {},
    "outputs": [
@@ -25095,12 +25522,12 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 100,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -25111,7 +25538,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 101,
    "id": "e2a7fc5b-f103-497d-9801-e58078222589",
    "metadata": {},
    "outputs": [
@@ -25124,12 +25551,12 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 101,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -25140,7 +25567,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 102,
    "id": "4fd719a4-df73-4ec0-821b-567a25070b62",
    "metadata": {},
    "outputs": [
@@ -25153,12 +25580,12 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 102,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -25169,7 +25596,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 103,
    "id": "202064a7-c09f-424e-9be9-e3ce016217c6",
    "metadata": {},
    "outputs": [
@@ -25182,12 +25609,12 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 103,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -25198,7 +25625,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 104,
    "id": "93f1c876-3e22-4b60-89e0-d2dac1a96753",
    "metadata": {},
    "outputs": [
@@ -25211,12 +25638,12 @@
     },
     {
      "data": {
-      "image/png": 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f4KnrAHBn1VrhOyJidwI/wHB8fZthXA/D7WZcvub1E4h8oc977GFdTrcbghfoY+CqyQJjqEq27ICX0X5lGKHnQFkKZugb4B8yXkOS5KyGpEAxao0PkOJI+65cOMEOMMHiQIyoxJ78aZnZysQQNaeUHCjVGHtUZbkAc0Fk3etbDccBtcTqJUrhWh7hquGMRyZWj/c0L+ElYI1FKe22YuKNljExiqi3/zT3cZ7uRL3KPCzz1GT2yU1McyA2xdyVJou7qZFPZrkxLGal8Shm2ugSs9pYETPadi++EW26FN/ytplt6e7fXredu1/bkJolRGedwQAAAJt6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJxVjksKw0AMQ6/SZQIe48+MP2RZyLaHyDVy+HgItKnRQjyQrP297Gvpc/Axj1/n0hQlw4Awg0uwNUG27gxUXpG7WUJjZNXIQuVCXOFJSKmi7VdCqGFjjMl6UuZE5kQSj1eCFK5ZVd0lHbYaIywJ35Bgqv9XMw6hPuakO7WeF4FxLMXB5mhUAAAAw3pUWHRyZGtpdFBLTDEgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAALihuYORkUADSjGxgigXKgwk6aAApZhY2hwwQzcwIZ7BDZJgxZbgZGBkYmRgYmRkYWRhYWDOYWNkS2NgzmNg5Ejg4M5g4WRJEGNlYODnY2VjFm0CWwJ00a6anw9kzZxaDOMbGl+3T0tJUYWwGhgP7kdj2IPasmZJ2MPVA9v6HbsvAatLS2A4g2GYHDA2sVJHE7ZHUg9liABDzMICaRH4BAAABAXpUWHRNT0wxIHJka2l0IDIwMjEuMDkuNQAAeJyNkttOwzAMhu/zFP8LLHJOXXO5tmNCaKkEhXfYPe8v7KHM6YAOJ67s5JPjQw1EXqeXyydu4idjANrYOWd8BCIyZ4iB4Xh6LhiXw1BPxvm9LG9wJPu61uxhmc/1xOEJwbrEAQk7snQVqFFBjxHOdunu+gcXOOCN2zmb/gJjC25wiR+m/2TYMcj3HdWnfc4U+l/IvZDeusdkjyJk/7DsvAq5EZFH0qa5QR7LtBrV9/CGuUw6PFleR8QOgk5C3Kj9FjdpWyNrp82LrHvtUGTttQ2RNWuxkdW1NUX5pDb1NlHx6x/KtvkCupmNyt7SzV4AAABnelRYdFNNSUxFUzEgcmRraXQgMjAyMS4wOS41AAB4nHNz1nDTBKJkw+TkvORkQ4UaDWM9Q1MdAx1rQz0zBK1rqGcKZYJZBlBFugZ6ZiBJI0tLAxMg10jPEJVrAVEGEkcIgzTBeJo1AFoEG09XMk9wAAAAvnpUWHRyZGtpdFBLTDIgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAALihuYORkUADSjGxgigXKgwk6aAApZhY2hwwQzcxIDIObgZGBkYmBkZmBkYWBhTWDiZUtgY09g4mdI4GDM4OJkyVBhJGNhZODnY1VvAlkC9xNs2Z6Opw9c2YxiGNsfNk+LS1NFcZmYDiwH4ltD2LPmilpB1MPZO9/6LYMrCYtje0Agm12wNDAShVJ3B5JPZgtBgBKwjDA2zofHQAAAP16VFh0TU9MMiByZGtpdCAyMDIxLjA5LjUAAHicjZLbDoIwDEDf9xX9AZfuhuxRQI0xQKLoP/ju/8cWMzq8oN1K2u2k6wUFLKfmeLvDJLZRCgAXdowRrg4RVQtsQLXdHzqoh02VTur+0g1nMMh7XHN2M/RtOjGwA6dNoIAIK9Q4CoiRQAs1GF2El+s3zlHAiVsZHb6BPgcXuEAP4z8ZFgTSfYHpaRsjuvIDuWbSavObLJ9k+bPsOAu5EJFGkqe5QG67Zjaq5/CqvmtkeLysjIgccDIJdr30m90gbfWkhTTPk66lQ560lDZ40ijFelKT1+T5E/LU80TZT38o2eoBq/KNvyYkkkwAAABlelRYdFNNSUxFUzIgcmRraXQgMjAyMS4wOS41AAB4nHNz1nDTBKJkw2QQMFSo0TDWMzTVMdCxNtQzQ9C6hnqmUCaYZQBVpGugZwaSNLK0NDABco30DFG5FhBlIHGEMEgTjKdZAwBU3BtEpzwSpwAAAKh6VFh0cmRraXRQS0wzIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAA4obmBkY0gA0ozMbA4aQJqZhR1CA/kZYJoRzmB3sAAxEEo5GMA0EzcDIwMjUwYTE3MCM0sGEwtrAitbAhu7BhMbY4IIIxsjGysLM5N4FsgauP1BWT/tGRgO7AdxHrqpAdkOMPZ+mDhQzX6YOJRtj6TGHkmvPVSNPUxcDABF2iNOAZ4NZAAAAOR6VFh0TU9MMyByZGtpdCAyMDIxLjA5LjUAAHicfVLbDsIgDH3nK84PjHQbjPG4W4wxg0Sn/+C7/x9pFLs9SEuTUk5O2xMU2K7z5fnCz5pZKYAKx3uPR0tEagUnGJfTOWDahjFXpngP2w19cmI/IoctrrlSY0KtvemtdahqbYkNpOmbZGCTgKQ7423tUZF29g+wReD3jCxQmkRZSfMCpz0gC8Du0LzQ2+3XKRD2iKJPgW8J80HXj9JjDLMozd6IniZFK6oZDpGG3cr+6YJOtjQpnOzSpOhlZMOl/WT7Ofie/0rK1RtacXlU380RgAAAAGZ6VFh0U01JTEVTMyByZGtpdCAyMDIxLjA5LjUAAHicc042zEtOjs7ziE02tPVXqNEw1LM0sTA109E11DPVsTbQMzOxNDW01NE10DMH8nURAmB5XbhyqDyMj64c1TSILEwtSE6zBgBrTR18TqkwugAAALp6VFh0cmRraXRQS0w0IHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAE4g5gLiBkY2hwwgzcyMlaEBYrAIQGgm3CrgAtwMjBlMjEwJTMwZTMwsCSysCaxsGUxs7AnsHBlMHAwJ7MwJIkxsDBzszEyMrCzM7Gys4mVAnYxwd7H2CR9gYHDYD+JA2fYgtubVBqDYATD74bGpdjBxXp479udCZoPZ+cVqDkDxZUji+5HU70cyB8wWAwCBuymCBNha8AAAAQp6VFh0TU9MNCByZGtpdCAyMDIxLjA5LjUAAHicfVJBboQwDLznFf4AkePYCTkusKqqakHq0v6h9/5fdXYFBqmbhJEcMwweOw7q+pw+fn5hXzQ5B4CNp5QC3xER3Q1qAMP17X2Gcb0MW2Zcvub1DgUCwmOfqZd1uW2ZACN05COKcIQOfRaV1k884jPYmHRiNoixEoOmk6BA8IIviKxE9FRIYlNQ4K4yOZQQeg0oRCH5h5dUj3xCzCVVK/jqx1mJu2DXUOyPFbaaU06eu4bp6zydBvAcybDMk42EFWR9Z0W07nKF9bBusVbpAZJ1hBXZfLOiN3esKOaB65XZy8DHaz4WfiyznrdLp7H7A7ruhh5xduQFAAAAdHpUWHRTTUlMRVM0IHJka2l0IDIwMjEuMDkuNQAAeJxdjEEKgDAMBL/iUSEJ2cRYi8/JE7z6eFsoFbwsDMNOIjPt7pNYnpVNXCN2YpUSdE0eCFE9AgRppGLVwn1ISEGFNWfwcLpMDtWT9FM83fzyr8w9vT0vEOYf5QGwnIUAAAAASUVORK5CYII=",
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FmFkroMV59OjRu3fv3r59++7du7t3775580aM3AFAfW5ublZWVvPnz+/Ro4eOjo6jo2P79u0ZDIZseijfunUrKCho69at2traMjgcSNu6desqKipEmuoGQIA///zzypUr27dv19TUtLa2dnV19fX17dy5c7du3czNzek+wsJ8WW3fvj0jI+PYsWOivgricDgcDicjI2PlypVFRUUVFRV79uwJDQ1Fue0Wjcvluri4aGtrb968mRDyxx9/GBgYjBgxwtjYuF27dnv37m3btq3wF8FOnTrZ29s7OTl17Nhx3bp1OTk5IgVTWVm5fPlyU1PTxYsXi3wmoDBsbW0dHR1HjRq1Z8+e27dvE0IoimrwhUP/Ku3xqYaGhnZ2dk5OTkpKSmvWrEFJGQDxIOH+ZU+fPmWxWDY2NuvXrxdpw5ycnOnTp5uamjZaoBlADD/88IObm1tYWNiCBQvWrVuXl5cn74igVWnTpo2Li4unp+ejR480NDRWrVol74hA8jp37tylSxf6z2PHjnV0dIyOji4pKZFvVNCiaWpqRkdHR0REbNiwISAgIC0tTVdXt2vXrjLoofzgwQM7O7vZs2fj+6p12LVrl5+fn5+fn4mJibxjgdYgNjbW0dHxp59+WrJkCb1k//79iYmJnp6ee/fuTU9Pp0fGGBgYCN7PixcvvL29Z82aVVVVlZCQkJCQUFxcXFlZmZCQUFVVJXhbJSWlTp06ffvtt4sXL9bW1lZWVl6/fr2RkdHVq1clco4gexRFrVy5MiYm5uzZszo6OoSQHj16JCUlBQcHr1279sqVK/Hx8dXV1V9sVzxdu3Zdvnz5v//970ePHr1//543IZMwampq7Ozs8vLygoODVVRUxDkfUAzOzs5btmy5e/fugAEDFi9eTFFU165dP336VP8z+fn5hBBDQ0OpRmJiYvKvf/1r165d9+/ff/r0KT2DKwCICrURv+DSpUuLFi2ysrK6ePGiSBew2NhYOzu7rl273rp1q23bttKLEL5OVlZWx48fT0tL09fXl3cs0AppaGhYWlreuHFD3oGA1NFXqNraWnkHAi2bkpLSlClTpkyZQggpKytLSEj49ttvpX3QCxcuLFmyZMqUKRcuXEC975aupqZm1apVp0+fPn78+Pz58+UdDrQGZ86cWbFixezZs0+fPl1/tlJzc3Nzc3P6z3fu3DEwMOjRo4fgXQUGBtbW1oaEhISEhNRfbmFhkZSUNHDgQMGbd+vW7fXr1/WXaGlp1dXViXAyoDCKi4sXLFgQGRl5+fLl+lc6DQ2NOXPm0H9+8eJFQUGBGJVh9PT0+vTp8/z5cyE/n5uby2KxMjIyIiIiMKS+dWAymWPGjPH29i4sLDQ2Ng4JCSkrK+MllJ48ecJkMnv27CmbYIyNjQ0MDJKSkmRzOIBWBj3cm8ThcDw8PFgs1ty5c8PCwtTU1ITf9vjx45MmTRo3btzdu3fpl94AzcHhcLZs2VK/WNuDBw8YDEb37t3lGBW0Jrm5uZ6enrxnv5qamsTExC8+f0KLw2azjx49yqsbW1lZeeXKlT59+nTq1Em+gUFr4uXlVVJSsmzZMukdoq6uzsPDY968eStXrgwNDUWfvpYuNzd33Lhxly9fvnHjBkoiQPPV1NSsXr3aycnJ1dX17NmzDeaW5Ll+/XpsbKwwX1YeHh6Z/2vy5Mn9+vXLzMzs06fPFzefMmVKQkICXeCbEPLkyZPU1NTRo0eLdFKgCNLS0kaNGpWYmHjnzp1p06Y1+hkOh/Pzzz9raGg4Ojp+cYdJSUl79+7l/VpQUPD69Wsh78Dv3r1raWlZVVX1+PHjIUOGCHkKoGhKSko2bdpUUVFB/0pR1MOHD7W1tdu3b//jjz9WVVUdPXqUXlVUVHThwoVx48ZJ7749Njb2xIkTvF+zs7M/fPiAR0IA8XwVvYFOnjyZkZFBTwp3/PjxmzdvTp06VfD0p1wu19ra+u+//+7fv7+Ojg5vVNewYcN4L66bsmjRojNnznTr1q1Hjx7btm2jF5qYmCxdulQCJwMKIyUlJTAwkBDy8eNH+sm/Xbt2dBU/wbZv315eXk7fc2/btk1dXX3hwoWCpyL59OlTUFDQqVOnFi1apK+vHxcXd/HiRQcHB2NjY0mdDshRampqQEAA4WtLly5devLkSXFxMSEkJCTk5cuXw4cP//777wXv7e3bt4cOHSKEZGRksNlsDw8PBoPxxWK4SUlJXl5ef/31F/0VFxwcnJGRQc8kBi1UTExMREQEIYSiqKioqJqaml69evXq1cvV1XXfvn3ff/+9srJySEhIdnb29evXhdnh2bNnk5OTP378SAgJCAh48ODB+PHjp06dKnir169f0xNO5ObmFhUVeXh4aGhoeHp6Nvv8QD7+/e9/l5WVJSYmEkJ+//13TU1NR0fHbt262dnZDRs2jMvlxsXFRUdHb9iwYcKECcLs8OjRo2/evMnKyiKEHD58OCwszMbGZsyYMQI2YbPZEydOvHfv3uDBgwkhvCvvyJEjZ82a1dwzBJl7+vTplClTPn/+bGtrGxUVFRUVRS93cXHhcDgnT54khLx9+zY/P9/Dw0NNTe2333774j53795dUFBAd8rbtWtXu3bt5s6dSzcYAe7cuXPz5k1CCJfLjY6O9vDwwA18S1RVVTV+/PjHjx9bWFiQel8R48aN++677xYtWqSrq6utrf3ixYs///xz/PjxGzZs+OI+O3To0KFDh/pLtLS0VFVVhbwVX79+/blz56ZMmfLTTz+pqKicOnWqe/fubm5uop8cyFNERMScOXOqq6sXLVoUGhoaGhpKL3d3d8/Ly9uwYcOIESPKy8v/+uuvpKQkPz8/Yep+PHz40M3N7fbt299++21VVdWZM2eqqqo8PDy+uOGpU6dcXFyUlZVZLNaxY8fohUwmc8eOHc05R5C9jIyMI0eOhIeHz5s3T1NT8/r163fv3t2zZ4+SkpKNjc20adM8PDyysrK6du167ty50tLS+m9oBLh//z5dt6q2tvbu3bseHh49evRYvny54K3u3Lnzyy+/3Lp1y8rKqri42M/PT0NDY+3atRI4T4Cvz1eRcE9PT6en/rO2ts7Pz8/PzzczMxO8CYfDUVZWtra2JoQkJCTwlnfu3PmLh6uurubfkMPhiBc8KKySkhL6n5huTgkJCbq6usJs+Pz58+LiYgaDYW1tnZKSQgj5YgpVX18/ISFhz549kZGRBQUF3bp1O3TokLOzc7NPAhRCcXFxg7ZEz8/85s0berm1tXVNTU1CQgKv9LYAFRUV9Fa9evWi9yZMGeVp06bFx8fv3bs3MDCwrq6uX79+3t7eQubLQDHl5eXx2g8hJCEhgaKoJUuWPHv27NChQ3///TebzR43btyaNWtMTU2F2WFWVhZvh6WlpQkJCd98880Xt6I/SQgZMGAAHUabNm2ac14gX0lJSYWFhYQQa2vrly9fEkJmzpypq6tramoaFRVVVlbWr1+/a9euTZ8+Xcgdvnr1Kjk5md7hhw8fPnz4YGlpKXgTNputrq7Of6/VrVs38U4K5Ovjx4/05a+wsJBuXbSysrK6ujr6n5j+mkpISNDU1BRmn8nJye/fvyeEWFtb06U8vvh2kNT72pw4cSJ9ONzAt0RVVVXt2rXj/4owMTFhs9mmpqY3b94sKCgwMDDw9fV1cnISb4jMoEGD9PT0hPywrq7uw4cPd+7c+eDBAyaT6eTk5OHhgbFlLU5eXh5dJSY7O5vuzEerra1lMBj6+vrh4eGEkCFDhpw4cYJ+3/NFzs7O/fr18/X1PXnyJIPBGD58eHBw8BeTFYSQ/Px8ugchfS2m1S+dBC3F0KFDnz9/7u3tHRoaWlVVZWxsfOnSJboLFIPBuHz58v79+69duxYXFzds2LCQkJAv1rCi5efn01+AVlZWhBBhJpwghGzZsmXo0KHHjh07duyYsrLylClT3N3dhbnhBwB+DIqi5B2D/KWkpAwYMECYAnwNVFVVaWpqhoWFoUcVNGrChAm9e/fmdToQ0oULF+bOnYv/m/BF5eXlbdu2vXr1qo2NjUgbzp8/v7S0FLN1QVO2bt0aGhqampoq0lbv3r3r1q3b3bt36TnoABpwcXFJT0+PiYkRaavExMShQ4e+evWqd+/eUgoMWrSZM2e2adPm/PnzIm117dq1GTNmlJWV4RUg8AsICFiyZIl4s5t4e3sfPHgwJydH4lFBKzBy5Mhhw4bt379f1A2HDx8+atSoffv2SSMqaOkiIyMnT5786dMnIfv/8RgbGy9ZskSYMfoAIAa8AgUAAAAAAAAAAAAAkICvoqTMF2loaJiZmWloaIi6IZPJNDMza9++vTSiglbgm2++EWNeUx0dHWEGEgIoKSmZmZlpa2uLuqGRkRFvZh4Afl26dOnXr5+oW6mqqpqZmaG7KDSle/fuYgze0tTUNDMzU1dXl0ZI0AqYmJiIcQ+vra1tZmbW1Fya8JXr0KGD2LfinTt3pkuoAfDr06ePeNXPxN4Qvgbt2rUzMzNTVhY5ude/f399fX1phAQABCVlAAAAAAAAAAAAAAAkAiVlAAAAAAAAAAAAAAAkAAl3AAAAAAAAAAAAAAAJQMIdAAAAAAAAAAAAAEACkHAHAAAAAAAAAAAAAJAAJNwBAAAAAAAAAAAAACTg/wA/40u6t2420QAAANt6VFh0cmRraXRQS0wgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAATihuYGRjSADSjMwcDBpAmpmJzQFMs7A5ZIBoZkYkBkSGk0EBpANTATcDIwMjkwITcwYTM0sCC2sGEysbAyt7AjtHBhMHU4IIIxsTBzsrC7N4GUg/3ClPjsUeeCijaQ/iLHBSOhCiz7IfxD7S2bb/Q9DMfSC2WfS/fT4iPWA1cSdr7K2uLwezzXK/2v/v4LQDsSO3RDpYXNgMZttXrbN/Yb4QbM514R97r/3aA2aLAQCAfzEcUzU9xQAAASl6VFh0TU9MIHJka2l0IDIwMjEuMDkuNQAAeJx9kl1qwzAMx99zCl0gRrI+HD02TTfGaAJbtjv0ffdnckvnFsykCCT7F6O/7AGqfSzvlx/4s7wMAwD+87k7fDMiDmeoCcyn17cVjvthvq8ct691/wQPx+rP5GHfzvcVgiOMnMQ0mwAmM1QvkeDV2q8ZNhhzUlamAiMmJWPpkVyPpIRKWLyS2V2MOqRUEpO4FY9WErqweQfUADH5VESm4Jgoq3U4C46SU2HX2CYWptzhCrxAiMaQwLHNSuRTh5uu57ExoVVNWV2p16DflFAm4lxJKSaoHfK0Lk8XcLuSeVuXdiXVcxt8FMBtulKjjbC6tkFFAdbmQRGlyZYop6ZOIrxpkAh+bPSxrVrf31jkwy8o/IPGpeTn+gAAAJl6VFh0U01JTEVTIHJka2l0IDIwMjEuMDkuNQAAeJwdjrsNwzAMBVdJaQM0wcefRLgMkDZDaA0PHyrt8XCP7+/CWuv4nGvh9RyXsWdoknCmRA26L+WwMKVLOJDmm4ElIHMzrfJEM2GvHEV9K7e2hGsO99nEgI7e4MLwjsPcoHT3nHSziQVQcyuWbVNPaFToPwwF9gdgH+l0Pj8cGCXXnxESQwAAAOV6VFh0cmRraXRQS0wxIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAG4obmDkZFAA0oxsYIoFyoNSHAwaQIqZic0BTLOwOWSAaGZGYhjcDIwMjEwMjMwMjCwMLKwKrGwZTGzsCewcGUwcnAmcXBlMXKwJIoxsrFycHOxs4n0gC+HOs5cJPiCcXG0P4nR2cR0AunQpiO2X7HkgW3nifrB48vT9QDZYzfKPzfuB6sHi1a+O2gkn/94HYn9u07aHmfNgOquDX9ceMHuapp8DUI0diK3BauMA08s175A9UA2YLQYAxxsyrMq2U40AAAE5elRYdE1PTDEgcmRraXQgMjAyMS4wOS41AAB4nH1S227DIAx9z1f4B4JsY8A8Nkk3TVMTacv2D33f/2t2q45UawMYYXLiyzl04ONjej//wN/gqesAcGfVWuE7ImJ3Aj/AcHx9m2FcD8PtZly+5vUTiHyhz3vsYV1OtxuCF+hj4KrJAmOoSrbsgJfRfmUYoedAWQpm6BvgHzJeQ5LkrIakQDFqjQ+Q4kj7rlw4wQ4wweJAjKjEnvxpmdnKxBA1p5QcKNUYe1RluQBzQWTd61sNxwG1xOolSuFaHuGq4YxHJlaP9zQv4SVgjUUp7bZi4o2WMTGKqLf/NPdxnu5Evco8LPPUZPbJTUxzIDbF3JUmi7upkU9muTEsZqXxKGba6BKz2lgRM9p2L74RbboU3/K2mW3p7t9et527X9uQmiWvP3sMAAAAnHpUWHRTTUlMRVMxIHJka2l0IDIwMjEuMDkuNQAAeJxVjksKw0AMQ6/SZQIe48+MP2RZyLaHyDVy+HgItKnRQjyQrP297Gvpc/Axj1/n0hQlw4Awg0uwNUG27gxUXpG7WUJjZNXIQuVCXOFJSKmi7VdCqGFjjMl6UuZE5kQSj1eCFK5ZVd0lHbYaIywJ35Bgqv9XMw6hPuakO7WeF4FxLMWlEXblAAAAqXpUWHRyZGtpdFBLTDIgcmRraXQgMjAyMS4wOS41AAB4nHu/b+09BiDgZUAADihuYORgyADSzIyMbA4aIAYLmwNYgJkRiQGR4WRQANKMmAq4GRgVGJkymJiYE5hZMphYWBlY2BLY2DOY2BkTRBjZGNnZWJiZxLNAmpEc4ODAwJCgCuEesAcSSyBsB/uHbsv2Q9n7EewD+0+dNIaqdziA0AtWY4+kF8wWAwAg8R+KygamYAAAAOB6VFh0TU9MMiByZGtpdCAyMDIxLjA5LjUAAHicjZLdCoMwDIXv+xTnBZTYH7WX/m2MYYXN7R12v/dn6aRW2SgmHojxgyQHBXzc+uvrjTVkLwRAicdai6ciIjHCF2iH88Whm5s2dLrp4eY7ak7yuSebeRpDp8AEldM3QL9F4CQ6FLlZulkCVAxSXpkFLHJpLan6D6gZzA6RxpPr8MTsEidkR66pdrMTo+vtNQlucP3O1sXodnJ9NNqnjH5qloquaa/ojU8TDShYZTyTv6GKx2hWHVfWLLndbLuHfw+/CtfiA83TeGlBmXEFAAAAWHpUWHRTTUlMRVMyIHJka2l0IDIwMjEuMDkuNQAAeJzzTzZMTk7WcNNMTjZUqNEw1jHQsTbUMwVRBnrmpjq6hnpGlpYGJjrWuuh8qDJdsB6ILFwShadZAwCFQBWBv02DjQAAAKx6VFh0cmRraXRQS0wzIHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAA4obmBkY0gA0ozMbA4aQJqZhc0hA0QzMyIxIDKcDAoglXBxdog4MzcDIwMjUwYTE3MCM0sGEwsrAwtbAht7BhM7Y4IIIxsjOxsLM5N4FkgvkvUODgwMCaoQ7gF7ILEEwnawf+i2bD+UvR/BPrD/1EljqHqHAwi9YDX2SHrBbDEA0kMfH/qIgawAAADfelRYdE1PTDMgcmRraXQgMjAyMS4wOS41AAB4nI2S0QqDMAxF3/sV9weU2FZtH9W6MYYVNrd/2Pv+n6UTrbJRTLwQ44EkFwVC3Nz19cYa0gkBUOKx1uKpiEgMCAXa/nzx6KamXTrd+PDTHYaTQu7JZhqHpVOgg8rpG6DfYuEkc0Vezt0sASoGKa/LGSxyaS0p8wfUDGaHyDKQ6/DE7AonZEeuqXezE6MNPI5wvXc7W2ej29G7aHRIGf3ULBVd00HRm5BlNKBgVfFM/oY6HqNZJq6sWXK72XaP8L78KlyLD79/eGjf3Ta6AAAAWHpUWHRTTUlMRVMzIHJka2l0IDIwMjEuMDkuNQAAeJxzTjZMTk7WcNNMzjNUqNEw1jHQsTbUMwVRBnrmpjq6hnpGlpYGJjrWuuh8qDJdsB6ILFwShadZAwCEbBWAnAQ7eQAAAKh6VFh0cmRraXRQS0w0IHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAHYobmDkYNAA0sxMbA5gmoXNIQNEMzPiYbA7WIAYjMzcDIwaTIxMCUzMGUzMLAksrBlMrGwJbIwJIoxsjGysLMxM4nFAlYxwaz0nqThsz41WBXEmqXTaq3oKLQGxPSctsXvotmw/iJ13e9p+BPvb/kZzfVUkcXsk9WC2GAD/MCbFuVRsbgAAAN56VFh0TU9MNCByZGtpdCAyMDIxLjA5LjUAAHicfZFRCsMgDIbfPUUuMInR1vq41jLGqMLW7Q573/1ZrDhbGCb9IeqHiX8FpLj72/sDvyAvBAA2PuccvDQiigVSAeN8uQaY1vNYdqb4DOsDLCemPJLnNS5lR0EEkp1VhhygxC12ReEIJlASM3dqgJpBlJoyqCQ5h3r4AxoG+VzZgbs3yS6Tjjay0bs/XNm40UKoQza4OfiDW9m/MQZf/aOkapNh6WqGSapPTtnVd/EC+jq9Ydk6o2HRfpR947Quv5xr8QWxFG7huxzRxAAAAGl6VFh0U01JTEVTNCByZGtpdCAyMDIxLjA5LjUAAHic87dNNkwGgug8j1hDhRoNIz1Tc0MTYx0DHWtDPQMY00DP2MjQxMhSR9dQz8jS0sBExxrIMjS3MDVHFbI0AgkZIEnDZeFmwEQ0awDqXRq4mR+fFgAAALd6VFh0cmRraXRQS0w1IHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAA4obmBkY0gA0ozMbA4aQJqZhc0hA0QzM8IEOBjANBO7gwWIZmRmh0gww3RyMzAyMDJlMDExJzCzaDAxsyawsiWwsTOwMSaIMLIyAgXYxLNAKuGW72FkOnDp1oX9IE54bCCQdgCzg65L258LmQ1mVx/bZw+kVEFsu2R7ByClhqTGHkkvmA01E8wWAwDxwiO8wwFClAAAAPl6VFh0TU9MNSByZGtpdCAyMDIxLjA5LjUAAHichZJdasMwDMfffQpdoEaWvx+bpJQy4sCa7g577/2ptJIpISOTIpDsn23pTwyIfQ4f30/4NRqMAcCDr9YKXx4RzQiSQHe53hr087lbVvrp0eY7FHYU35LneRqXFQc9nMiidz4mODmbvEuZj1n8MT1LQqItLheuOMvxDexIzyTahCXHIFcS303xDzAw6GyoGDyttndchAnI1n+5BE0fPng3M6ejHExSNuociHNpw0bWt9Dd1AYVWpxUzcDhVbIgocLIftT5A3vSMbmArNM4jqI9By5p3dm6D6mXX4Vz8wKzV3kDCkkCTQAAAH56VFh0U01JTEVTNSByZGtpdCAyMDIxLjA5LjUAAHicPY05DoAgEAC/YgnJstllOUOsaOx8gLGi5wU8Xo2BborJTG3cmtpPffXj7ly3oYxFEpYAhjEIhwTFECaOSeCF6KEQBkrRu0+xLF6gMLpMToCgWMwTl7i8lfpLazZfejxMzB7YNvG6FgAAAL56VFh0cmRraXRQS0w2IHJka2l0IDIwMjEuMDkuNQAAeJx7v2/tPQYg4GVAAC4obmDkZFAA0oxsYIoFyoMJOmgAKWYWNocMEM3MSAyDm4GRgZGJgZGZgZGFgYU1g4mVLYGNPYOJnSOBgzODiZMlQYSRjYWTg52NVbwJZAvcTbNmejqcPXNmMYhjbHzZPi0tTRXGZmA4sB+JbQ9iz5opaQdTD2Tvf+i2DKwmLY3tAIJtdsDQwEoVSdweST2YLQYASsIwwBvaukgAAAD9elRYdE1PTDYgcmRraXQgMjAyMS4wOS41AAB4nI2S2w6CMAxA3/cV/QGX7obsUUCNMUCi6D/47v/HFjM6vKDdStrtpOsFBSyn5ni7wyS2UQoAF3aMEa4OEVULbEC13R86qIdNlU7q/tINZzDIe1xzdjP0bToxsAOnTaCACCvUOAqIkUALNRhdhJfrN85RwIlbGR2+gT4HF7hAD+M/GRYE0n2B6WkbI7ryA7lm0mrzmyyfZPmz7DgLuRCRRpKnuUBuu2Y2qufwqr5rZHi8rIyIHHAyCXa99JvdIG31pIU0z5OupUOetJQ2eNIoxXpSk9fk+RPy1PNE2U9/KNnqAavyjb+GsdxCAAAAZXpUWHRTTUlMRVM2IHJka2l0IDIwMjEuMDkuNQAAeJxzc9Zw0wSiZMNkEDBUqNEw1jM01THQsTbUM0PQuoZ6plAmmGUAVaRroGcGkjSytDQwAXKN9AxRuRYQZSBxhDBIE4ynWQMAVNwbROXFElYAAADDelRYdHJka2l0UEtMNyByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQAAuKG5g5GRQANKMbGCKBcqDCTpoAClmFjaHDBDNzAhnsENkmDFluBkYGRiZGBiZGRhZGFhYM5hY2RLY2DOY2DkSODgzmDhZEkQY2Vg4OdjZWMWbQJbAnTRrpqfD2TNnFoM4xsaX7dPS0lRhbAaGA/uR2PYg9qyZknYw9UD2/oduy8Bq0tLYDiDYZgcMDaxUkcTtkdSD2WIAEPMwgAY1h1IAAAEBelRYdE1PTDcgcmRraXQgMjAyMS4wOS41AAB4nI2S207DMAyG7/MU/wssck5dc7m2Y0JoqQSFd9g97y/soczpgA4nruzkk+NDDURep5fLJ27iJ2MA2tg5Z3wEIjJniIHheHouGJfDUE/G+b0sb3Ak+7rW7GGZz/XE4QnBusQBCTuydBWoUUGPEc526e76Bxc44I3bOZv+AmMLbnCJH6b/ZNgxyPcd1ad9zhT6X8i9kN66x2SPImT/sOy8CrkRkUfSprlBHsu0GtX38Ia5TDo8WV5HxA6CTkLcqP0WN2lbI2unzYuse+1QZO21DZE1a7GR1bU1RfmkNvU2UfHrH8q2+QK6mY3KvvRCNwAAAGd6VFh0U01JTEVTNyByZGtpdCAyMDIxLjA5LjUAAHicc3PWcNMEomTD5OS85GRDhRoNYz1DUx0DHWtDPTMErWuoZwplglkGUEW6BnpmIEkjS0sDEyDXSM8QlWsBUQYSRwiDNMF4mjUAWgQbT7H+l1cAAAC6elRYdHJka2l0UEtMOCByZGtpdCAyMDIxLjA5LjUAAHice79v7T0GIOBlQABOIOYC4gZGNocMIM3MjJWhAWKwCEBoJtwq4ALcDIwZTIxMCUzMGUzMLAksrAmsbBlMbOwJ7BwZTBwMCezMCSJMbAwc7MxMjKwszOxsrOJlQJ2McHex9gkfYGBw2A/iQNn2ILbm1Qag2AEw++GxqXYwcV6eO/bnQmaD2fnFag5A8WVI4vuR1O9HMgfMFgMAgbspgjb6N38AAAEKelRYdE1PTDggcmRraXQgMjAyMS4wOS41AAB4nH1SQW6EMAy85xX+AJHj2Ak5LrCqqmpB6tL+off+X3V2BQapm4SRHDMMHjsO6vqcPn5+YV80OQeAjaeUAt8REd0NagDD9e19hnG9DFtmXL7m9Q4FAsJjn6mXdbltmQAjdOQjinCEDn0WldZPPOIz2Jh0YjaIsRKDppOgQPCCL4isRPRUSGJTUOCuMjmUEHoNKEQh+YeXVI98QswlVSv46sdZibtg11DsjxW2mlNOnruG6es8nQbwHMmwzJONhBVkfWdFtO5yhfWwbrFW6QGSdYQV2Xyzojd3rCjmgeuV2cvAx2s+Fn4ss563S6ex+wO67oYeFoKkrgAAAHR6VFh0U01JTEVTOCByZGtpdCAyMDIxLjA5LjUAAHicXYxBCoAwDAS/4lEhCdnEWIvPyRO8+nhbKBW8LAzDTiIz7e6TWJ6VTVwjdmKVEnRNHghRPQIEaaRi1cJ9SEhBhTVn8HC6TA7Vk/RTPN388q/MPb09LxDmH+UKVQb5AAAAAElFTkSuQmCC",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 104,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -25227,7 +25654,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 105,
    "id": "3922c336-05f6-4915-99bb-d56cac378b11",
    "metadata": {},
    "outputs": [
@@ -25240,12 +25667,12 @@
     },
     {
      "data": {
-      "image/png": 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",
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iIqJNmzYKLzhy5Iinp2dRUVH//v1DQ0Pr1atXyxnrGLFY3K5du8ePH//444/saQryGIbZtm2bUiZq06bN28UyhmF69uwZHR29bNmydevWKWUilTt8mMaMIQsLeviQLC25TqNBYmNjO3fuLBQK4+Pj375/lpiYePz4caVMNGTIELadt7zk5OQ2bdoUFxf/9ddfPXr0UMpEtbclOfnAq1d+dnYTatQgCwjrqjJYVwAAAAAAUD3ctpCvpbQ0pkEDhohZt47rKP8lJibG2NiYiJYtW6ZwqbS0dODAgURkb2+flpamtkh9+/Ylot27d6ttRo126hRDxPTqVWEwJYUhYiwtuYlUfampqU5OTuy3trm5uZeXV3h4eFlZmXJnefnypYuLCxFZWFhERka+/YJr166x7eDbtWv3/Plz5c6u7dg95o6OjpX+vZSXlyvrZ7unp2elAWJiYvh8vq6u7sOHD1X8tSqDWMy0aMEQMQonN0qlTGoqR5k0glQqZcuRS5curfQFYWFhylpLhw4dqnQK9hGNjh07SiQSVX6t1YDDLWsJ66pSWFcAAAAAAFAtamrNqSI2NvTbb9SvH/n706efksbshVL09OlTd3f3goKC8ePHs+U2GYZhZsyYcfr0aSsrqxMnTtjY2KgiQHZ29p9//tmuXTu2Tsry8PA4f/58aGjopEmTVDGplqm0dYy29ZP5/PPP4+PjBw8e7O3t3a9fPx0dHVXM0qBBg8jIyAkTJoSHhw8cOHDnzp1ffPGF/Au6dOly7dq1IUOGxMfHd+3a9fjx4x0VjqL9UKWlpW3atIne3RmZz+crPP5SY507d6503NnZ2dPTMyQkZMmSJYcPH1bKXCq0eTM9fkwODqRwcuOhQ/Tll7RuHc2bx1Eyju3bt+/y5cs2NjZLliyp9AX29vbKWkvvaj+1dOlS9mGakJCQyZMnK2Uu4BbWFQAAAAAAgBJwXfFXgiVLGCKmcWMmM5PrKJXJzMxkD0ft3bt3SUmJwlV2J5ehoeGVK1dUl4E9xHLq1KnygxkZGUKhUEdHJysrS3VTaw0PD4aI2bOnwuCqVQwRs3AhR5mqRyKRsE9RZGRkqGG68vJytuzC4/H8/f3ffkFWVlavXr2IyNjY+NixY2qIpPm8vLyIaPTo0dzGSEtLMzU1JaIzZ85wm+Q/pKUxpqYMEXP6dIXxoiKmaVOGiPn5Z46ScaywsLBJkyakAY8o7d27l4hsbGxyc3O5TcLCTuTawLp6F6wrAAAAAACoFm09NFXemjXk6kopKTRpEmlaR/ri4uLhw4c/ePCgXbt2YWFhenp68ld/+eWXtWvXCgSC3377rVu3bqqLMXbsWCIKCwsrLS2VDVpZWfXq1ausrCw8PFx1U2uNSk9MrXRQUz169KigoKBp06ZWVlZqmE4gEAQHB8tOSZ0yZYrCKanm5uZnzpzx9PQsKCgYMWLEDz/8oIZUmuzatWv79u3T09P79ttvuU1iY2OzaNEiIpo3b54Sm9go36JFlJdHo0aRQjP6jRvp+XP65BP68kuOknFs/fr1SUlJzs7O7C0cDn3xxRc9evRIT0/fsGEDt0mg9rCuAAAAAAAAlKIuFNyFQjpwgCwtKSKClHTcoHJIpVJPT8/o6OjGjRufOHHCzMxM/mpERMTMmTOJKDg4ePjw4SpN0qZNG0dHx+zs7IsXL8qPe3h4EFFoaKhKZ9cCeXmUmEj6+qRwBChbcNeSdijsKamfqPf2gI+Pz+HDhw0NDXft2jV48ODc3Fz5q7q6uiEhIf7+/hKJZM6cOT4+PlKpVJ3xNAfDML6+vgzDLFiw4O1zAtWPjZGQkPDzzz9zneUdYmNp3z7S1SWF+xMpKbR5MxGRSKQFh2WrQHJycmBgII/HE4lEfD7H/4jzeLygoCA+n79169ZHjx5xGwZqA+sKAAAAAABAWepCwZ2I7Oxo927i8WjRon/bbmsCX1/fsLCwevXqnThxws7OTv5STEzM2LFjy8vL/f39Z82apYYwldbWR48eLRQKz5w5k52drYYMmuv2bZJKqX17km96np1NSUlkZETv6DOraW7dukVqL7gT0YgRIy5evGhjY3P+/PkePXo8f/5c/iqPxwsICNi1a5eOjk5wcLCHh0dxcbGaE2qCvXv3Xr9+Xba1nHOyjfbLly9//fo113HewjDk40NSKS1YoPgNuGgRFRbS2LH06acchePYli0PjYxMJkyY0EMzzi3p2LGjl5dXaWnp4sWLuc4CNefn51dUVMRuLec6CxHWFQAAAAAAaLM6UnAnInd3mj2bxGL6/HPKy+M6DdGGDRu2bdumr69/7Nix9u3by19KTEx0d3cvLCz09PT09/dXT55x48YRusq8S6U72W/eJIYhJyfieq9fFbEFd06OJ+3cufPVq1fbtm0bHx/frVu32NhYhRdMnjz55MmTZmZmYWFhffr0efXqlfpDcqigoGDp0qVEtGnTJrZ5uiYYPXp0//79s7Ky1qxZw3UWRSU3/6C429SwISmc3Hj1Kh08SAYGitvePxiXLlFQUF+B4OHGjYFcZ3lj48aNpqamR44cOXPmDNdZoCYuX77MPqu0bt06rrO8gXUFAAAAAABaSjsqiVW0eTN98gk9eUKc90g4cODAN998w+fz9+7d27NnT/lLmZmZgwcPTk9PHzx48K5du3g8nnoitW7dGl1l3uk9Ddy1pJ8MEd2+fZve2uG+evXqjRs3qmELc/PmzaOjo3v37v3y5ctevXodO3ZM4QV9+/a9fPly06ZNr1271q1bt/v376s6kubYsGHDixcvnJ2dPT09uc5SQWBgoFAo/OGHH+Lj47nO8oZUWvhQZ969o8Zl+wLJxET+Avn4EMPQokXUrBln+bgjldL8+UREs2eb2trW5zrOGzY2NkuWLCHNPxUAKiOVStmGV0uXLmUPTdUQWFcAAAAAAKCl6lTBXU+PDh4kkYj8/LiMcfHixS+//JJhmC1btowZM0b+UnFx8bBhwx4+fOjs7Hzo0CGhUKjOYO/vKpOVlaXOMBqFuXOHiKhDhwqjWnVialJSUmZmppWVla2trWyQYZjAwMAlS5aop1Rhbm5+6tSpiRMnFhYWjhw58vvvv1d4gaOj47Vr11xcXBITE11dXS9duqSGVJx7+vTp1q1bNaQzsgJHR8dp06aVl5fPmzeP6yxvpKVtKCtLpUaNdfp4VLiwezfduEGNG9PChRxF49jPP1NsLNnZcfxvXKXmz5/fsmXLu3fv7tixg+ssUD0//fRTbGysnZ2dn+YtLKwrAAAAAADQRppV/am9Vq3Ix4eWLycLC5LfYhsRQRYWpIbzGuPj40eNGiUWixcsWODr6yt/SSKRTJgw4erVq82bNz9+/LixsbHK01T0/q4yb29J/kCIxWLz+/c9HRwkH39c4YJWFdzZfjLOzs7yg4mJiTk5Oba2tjY2NuqJoauru3v3bn9/f6lU6u3t/fYpqQ0aNIiMjBw2bFhWVtbAgQP379+vnmAcWrBgQUlJiZeXl4Z0Rlawbt06S0vLc+fOHT9+nOssRESlpUnp6YFEPDs7UYV/ofLzaflyIqJNm8jIiKt4HMrLo4AAIqKtW8nQkOMwb9PV1d24cSMRrVixgstTAa5da3jihDQujrMA2iYvLy8gIICItm7daqh5CwvrCgAAAAAAtFFdK7iziospP5+8vamw8N+R0lJSw7GgKSkpQ4YMycnJGTt2LPu/iPJ8fHyOHj1qaWl58uTJBg0aqDzNW1q3bt2uXbvs7OwLFy7Ij3/gXWXu3LmTW1QUx+cLDAxkg0VFRYHm5jf69CEHBw6zVV2lJ6Zycoyq7JRUXV3d4ODgMWPGFBUVyb/AyMgoLCzM29tbLBZ7eXmxtZ666uLFi2FhYYaGhmvXruU6S+UsLCyWL19ORL6+vmKxmOs4lJLiJ5UWWVp6GhtXuD+RlrGp8PPWTO/PaNw4rrJxKyCA0tLI1ZVGj+Y6yjuMHDlywIAB2dnZq1ev5ipDcnT08ZUrMxMSuAqgdQICAtLT011dXUdr6sLCugIAAAAAAK1TNwvuRNS9O+np0apV6psxNzd3yJAhycnJvXr12rNnj0LviNWrV//www8GBgbh4eGtW7dWX6yK0FXmbTdv3qS3qtJxcXF+V67MyM4mPT2OclWP5hTcWZMmTWJPST1y5Ejv3r3T09PlrwoEguDgYLbRyqpVqzSwj4FSSCQStlXLsmXL7OzsuI7zTnPmzGnXrt2TJ0+2bdvGbZKCgsvZ2WF8vmGjRhXuT4jFj1/kfHff66/iY9+Rus690Cj379P33xOfT0FBGv0HwJ4KsH379jtsny7QbPfv3//+++/5fH5QUJDaTpSpAawrAAAAAADQLnW24K6jQ1u2UGAg3b5dydWyMsrOrvwjNZUSE//9ePo0JVHOzZs3Yytz/fr1U6dODRky5M6dO46OjkeOHNGrWKXdv39/QECAQCDYt29f9+7d1fRHUJmxY8cS0ZEjR9BVRkbTStU1U+ltg0oH1aZPnz7R0dHNmjX7+++/u3Xrdu/ePYUXzJs37/Dhw3p6egUFBdlqeAJF7X766ae4uLgmTZpoVIf0twmFwsDAQCJavXp1Wload0Gkycm+REyDBst0dSuc3JiSMp9hxFZWkw2NXLgKxy0/Pyoro6++oopdozSOg4PD9OnTNe1UAHgXPz+/srKyr776ylmzFxbWFQAAAAAAaJc6W3AnInd3GjiQZs1607o9KYl4POLxSFeXLCwq/2jcmOzt//3o1+9reznOzs4ulenatevgwYMTExPr169/6tQpc3Nz+RiXLl1iz1Ddtm3bqFGjOPiDkIOuMm+rAwX3169fp6SkmJqa2tvby4/fvn2bOP0qHBwcrl692qlTp6dPn/bo0UNhnzsRDRs2TCgU/vLLLwzDcJJQdbKzs1euXEma2hlZQb9+/dzc3PLz89nMnMjI+KmoKFZX187GpkJNLT//fE5OuEBgorDt/cMREUEnT5KpKWlF+6U1a9ZYWlqeP38+PDyc6yzwPhERESdPnjQ1NdWKvl5YVwAAAAAAoEWEXAdQreBgateOfv2VLC2JiGRdXnR06F1HlhoavmkiYmtrQ/SR7FK9evUUGsWwhEJhQUFBQkJCt27dGjdurHDVxcVlwIABTk5OM2fOrN1XoxweHh7x8fGhoaGDBg2SDY4ePXrOnDlsVxkLCwsO46mZRCK5c+cOj8dzcnKSH+d2b3h1xcbGEpGTk5P8+nz58mVaWpq5uXnTpk25i/bvKakTJkxo167d22e3PnjwoLCwsFmzZnVv1a1atSozM7N3794a2xlZgUgkOnfu3M6dO6dPn+7iou6N5BJJzosXK4moceOtfP6b+xMMI0lOnkdEDRos19FpqOZUmqCsjObPJyIKCCAuzv6oNgsLi5UrV/r4+Pj5+Q0cOFBPS7pyfWjKysrmz59PRAEBAZwcKlNdWFcAAAAAAKBF6njB/aOPaOlSWr6c2BNMGzemau6j3VnF1+Xl5dnY2Pz999/p6ekKVUUjI6OjR48KBIJqTaw6Y8eO9ff3P3LkyI8//qirq8sOsl1lzp8/f+zYsUmTJnGbUJ3u379fVFT00UcfyT+XUFZWdvfuXT6f//HHH3OYreoq3Y8vu2fAeWdeQ0PDw4cPV3qzSrueJKi6+/fvb9++XSAQsK1atEKLFi3mzJmzZcsWHx+fy5cvq3nZvHy5trw8w8Skl7n5GPnxjIztxcV39PQ+srHxUWcezbFtGz14QC1a0OzZXEepslmzZv3888/x8fHBwcELFy7kOg5UYtu2bQ8ePGjRosVs7VlYWFcAAAAAAKAt6nJLGdaiRWRqSt99p9pZTE1N+/XrJ5FIjhw58vZVoVDIedFTBl1l5FVa8L17925JSUnLli1NTEw4ylU97+mK07FjR24yVSQQCCr9FqirBXdZZ2SFJyc0nL+/f4MGDa5cuXLo0CE1T21tPdfCYnzjxiL5QYkk++XLVUTUuPFWHu9D3NCakUFr1hARBQXR/26PagGhUK9XgC8AACAASURBVCgSiYhozZo1L1++5DoOKMrIyFizZg0RBQUF6WrPwsK6AgAAAAAAbVH3C+56evTDD5SQoPKJtKhgXWnU0aNHC4VCtqsMR7k48P694dxkqr5Ka+taUcvWqLsCynL8+PGTJ0+amZmtXr2a6yzVY2JiwmZesGBBYWGhOqfW1W3SvPlvhoYd5AdTU1eUl782MeljZjZcnWE0x65dlJNDgwfTkCFcR6mmvn37Dh06ND8/f8WKFVxnAUXLly/Pycnp37//EG1bWFhXAAAAAACgFep+wZ2I+venMWP++2W1NGLECH19/UuXLr19MqSmGTt2LBEdOXKktLRUNsh2lSkrKzt27Bh30dRNe0vVMgUFBY8fP9bT02vbtq38uFZ8FXFxcaTxIaulrKxswYIFROTv71+/fn2u41Tb1KlTXVxcUlJStmzZwm2SkpK7mZk7eDyBnZ3ov19dRy1cSAcP0tatXOeokcDAQD09vV27dt24cYPrLPBGXFzczp07hUKhFjW8kod1BQAAAAAAmq9uFty3bqX16ykz881IaCgxDFXWRFpp3t9VRqOgqwyLYZhKC75aUaqWuX37tlQqbdeunY6OjmwwJyfn2bNnhoaGrVq14jDb+z1//jwzM9Pa2rpRo0ZcZ1Ga4ODgBw8etGnTRos6I8vj8/lBQUE8Hu/bb799/vy5GmYsLX3+9OkX8fH2//zT8OHDz3JzT7LjBQVXifj16880MGivhhiaoH596tiRxOI3I8OG0c2b1KYNd5lqwd7e3tvbWyqV+vr6MtU8PkWTReXmut66Jf+xPimJ61DV4OvrK5FIvL29HR0duc5SE1hXAAAAAACg+epmwZ2Ixo6lBg0oPl6tk2pRwRpdZYjo2bNnWVlZNjY2DRo0kA0yDPPPP/+Q9hTc37VJn2EYJycnzTmt9211r5/Mq1ev1q5dS0Rbt26Vv/+hXbp37+7h4VFcXLxs2TJVz8Uw5Y8eDRaLn9jZBX/0UaiZ2Sg+/99e7VZWUx0d4xs2XKXqDJojO5vu3KFNm96MFBRQcTF3gWpt5cqVDRs2vHLlyu+//851FqWRMIxYKv2ldevdbdqwH9Pk/gXRcKGhoZGRkRYWFsuXL+c6S81hXQEAAAAAgIarmwX3W7fo2TOysSEHB7XOi64y2oUt+Do7O8sPPnr0KC8vz87OzsrKiqNc1fOeE1M1/J6BVoSsFrYzspub2+DBg7nOUiubN282NDQ8cOBAVFSUSicqKblfUnLPzk5Ur56bsXEPa+u5JiZ9ZFf19FoKhRYqDaBpvvyS1q+nx4+5zqEkslMBFi5cqOZTAVTN3sCg5f8+rLXk3NGSkpJFixYR0fr16y0stPg7C+sKAAAAAAA0XN0suLM9XYYPV20Pmbehq4x20d5StTzt/Sq07nDa97t9+/avv/6qo6PDeffz2rOzs1uwYAHDMD4+PlKpVHUT8Xg6RJSXd0Z1U2gXd3f67DOaNYvrHMozZcqUTp06paSkfPfdd1xn+dB99913z549c3JymjZtGtdZagvrCgAAAAAANBmvLnXAlGnfnuLj6cwZ6t9f3VOHhIRMmjSpT58+58+fV/fc1bR69Wp/f/8pU6bs3LlTNpiZmdmwYUMej5eWlqbVO+Cq4tGjR5GRkXw+/+bNm/r6+ubm5n5+fqtXr964caO/v39AQADXAf9baWmpiYmJRCLJzc01MjKSjTs6Ot69ezcmJkZh/75Gady4cWpq6qNHj1q0aMF1FiVgv6Fmz579/fffc51FCQoLC+3t7XNyciQSCY/Hq+JnnT5tXa/eqyq+2Nx8TPPmvz19Oj4r66Ch4SeWlpMtLDw/tC3t8oRCCgujli2pQwfavZvGj6feval9ewoO5jpZ7URFRfXq1cvIyEgs359eNSQSiVQqFQgE/Crfb+9z/HhOlZ9namVoOKVBgwVPnrQ1NJR9V4hatrQQCqsfVq0YhunSpcuNGzcuXrz42WefcR1HCbCuAAAAAABAY9XB/5R//Jji48nMjHr14mB2tqtMZGTky5cvGzZsyEGCKvPw8PD39//rr78YhpEV1KysrD777LNz586Fh4dPnjyZ04CqlZCQEBoaunfv3sTERCLS1dUtLS0NDw8fN25c3759u3btynXAKomPjy8tLXVwcJCvthcXFz98+FBHR0eTz8TLzMxMTU01NTW1t7fnOoty6Orq8ni8d7Vuj4mJcXFxUXOkqsjIyCgqKmratKnCuEAgYKtL1SpmMUwZw5RV+cXlRNS8+W9WVtNfv9774sXKFy9W2Nv/aWLyWdVnrHvatqV588jPj9zduY5STQkJCR999JGBgYHCuK6uLhHxeLyysqqujdrg8XgSiUQikVTx9WUMU17lnQeyV3pYW8v++8lQzQ/T1QjDMOzPKN3KGpWUlJQ8fvy4Xbt26g/2n7CuAAAAAABA69TBgjvbzcXdnTjpfsl2lTl+/PjRo0dnzpzJQYIqa9u2bWRkZPfu3RW2r3p4eJw7dy40NLROFtzv3bv3+++/Hzx48MGDB+yInZ3dyJEju3XrtnLlyhs3brx48SIiIsLJyYnbnFVUaVeWuLi48vJyJycnfX19jnL9t9jYWCLq0KFD1XdPa7j+/ft/880327dvnzVrVsuWLeUvjRgxIjw8/NKlSz179uQq3rssWbLkwIEDO3fuHD9+vPz45s2bX7x44ejo+PfffwurvMtSR4dHVPWnptgTfXkmJr1NTHpLJFsePRqcmrq4TZvrVX6HumnFCjpwgNat4zpHdRQXF7u5uRHRhQsXPvroI9k4wzDz589nGGb27NmrVqn8CNz58+d///33mzdv9vb2ruKn8HV0qr5k+URRublENMjCQlerfnbx+fw+ffpER0d7e3vfuHFDfqf28+fPe/fuXVZWdv/+ffl7t5oA6woAAAAAALRRHdw+wxbcR47kLIAWtUHv1avX2xtyR40aJRQKz549m5WVxUkqVUhOTg4KCurRo4eDg8OqVasePHhgaWk5ffr0qKio58+fBwUFjRs37urVqz169EhNTe3Zs+epU6e4jlwl2tvAXStCVouzs7OXl1dpaenixYsVLnXo0IHth1713ZHqcevWrd27d0skEoXWQ6mpqRs3biSiwMBAQ0ND3Srj8XR4PN0qfwjkJxUIzOvVG1xamqLWPwKNZGREIhEFBVGK9vxhbNq06fnz5+bm5gpPS+zduzc6OtrGxmbp0qVVX0g1JhAIiEggEFT9U4Q8nk6VPwTaXAxdunRpkyZNbt68uWfPHvlxOzu7+vXrp6SkbNq0iats74J1BQAAAAAA2qiuFdzT0+n6dTIwoIEDOcvAdpW5dOnSy5cvOQtRC1ZWVk2bNrWzs0tKSuI6S229fv36p59+6tGjR9OmTX19faOjo83MzLy8vMLDw9PS0nbs2NGjRw/ZDmtLS8tz586NGzcuPz9/6NChP/30E7fhqwIFd42yceNGU1PTI0eOnDlT4RTQxYsXN23a9NatW7t27eIq29tkZ6L6+vq2atVK/tKSJUsKCgrGjBnTX8XnYJSVpWdnH5ZKS4iorCw1K+t3I6NOKp1RW4wcSX370uPHXOeoGtnZlSKRiC1NsoqKipYvX05EmzZtMjU15SwfEBGRgYHB+vXriWjp0qW5ubmycT6fLxKJeDwee6oqZ/negnUFAAAAAABaqq4V3I8cIamUBgwgDp+KNjU17d+/v1QqPXr0KGchamHTpk1PnjwpKSlp3bo111lqKDubdu6k/v1p6NAZM2bMiI6ONjQ0HD9+/J9//pmenh4SEjJ06NBKu2To6en99ttv/v7+5eXlM2bM8PHx0eRThaVS6Z07d3g8XocOHeTH2Vp2x44dOcpVJVoRsrpsbGyWLFlCRPPmzSsvL5eNGxgYfPvtt0T0zTffyNe5uHXgwIGoqChra+tly5bJj1+7dm3//v16enobNmxQdQax+GFKyrzbt+v980/DO3eaCgQmdnbbVD2ptggKIg1uClXBokWLCgsLx44d26vi2Snr1q1LTk52dnb29PTkKhvImzBhQs+ePdPT0xW+u7t16zZ+/Pji4uK3H9DhENYVAAAAAABoK6ZuGTCAIWJ27+Y4RkhICBH17t2b4xzVd+DAAT6fz+Px9u7dy3WWaisoYH77jRk2jNHVZYgYIsbV9ejw4cMPHDhQWFhYrbf6+eef2Yr8559/XlxcrKLAtXT37l0iatasmfxgWVmZvr4+j8fLzc3lKth/ys3N5fP5enp6paWlXGdRMrFYzDZw/+GHHxQuffrpp0S0YMECToIpkB2UunPnTvlxqVTapUsXIvrmm2/UlUVSUpKYn3+5pOQx+/vi4vticZK6Ztd0x48zT55UMp6dzdy/r/Y0lbly5QqPxzMwMHj69Kn8eGJiIvuzKCoqSm1hfHx8iCgwMFCls0ikUpW+v0rFxsby+XxdXd2HDx/Kj6ekpLAN3CMjI7nKJg/rCgAAAAAAtFed2uGem0uRkSQQkJsbx0mGDx+ujV1lIiMjJ0+eLJVKt2zZoqKNY3l5FBREaWkVBiMi6MQJxVc+f04bN9KNG29GpFLauLGSHgtiMR07RhMnUoMGNGEChYdTeTm5upJIREePDj969Oi4ceMMDQ2rlXPatGnHjx83NTU9dOhQv379MjMzq/Xp6lFpV5a7d++WlJS0aNFCkx+0j4uLk0qlH3/88dtHCGg7XV1ddjP7ihUrXr9+LX+J7YoQHBz88OFDjtK9sXHjxufPn3/yyScKZyOHhIRcv37d1taW3aqvFnw9vebGxq56evZE9Pr17rt32yUmfs4wZeoKoLm2biV3d5o/X3E8JoZatqRx44jzQwGkUin7JNCiRYuaNWsmf2nhwoUlJSWenp49evTgKJ2q8LW543bHjh0nTpxYWlq6aNEi+XFbW1t2xNfXl/PTJrCuAAAAAABAq9Wpgvvx41RaSr16kZUVx0m0satMQkLCyJEjxWKxn5/fvHnzVDRLZib5+tLTpxUGd+6kX39VfOWTJ7RkCX3+ORUV/TsikdCSJXT37r+/lUrp8mXy8SE7Oxo2jPbupYICcnYmkYhSU/+9VJuVMHDgwKioqMaNG0dHR3fr1u3Ro0c1fy/VqLTgzuPxRo8ePWTIEI5CVUmdbOAuM2rUqAEDBmRlZa1evVp+nK1ul5aWLliwgKtsrJSUlM2bNxORSCTi89/8K1BQUMC2l9mwYYOxsTEn2fT0WjBMeWHhtdRUDWptwZUvviBTUzp6lE6frjDu6EjGxnT7Nu3cyVGy/9m9e/eNGzdsbW0XLlwoP37x4sXDhw8bGhquXbuWq2zwLt9++62pqenRo0dPV1xYCxcubNas2e3bt399+59k9cK6AgAAAAAArVanCu5HjhARjRzJdQ4iIvLw8CCi0NBQroNUSWpq6uDBg3Nycj7//HP2jDINwefT+vWKg7Gx5ONDtrbUsycFB1NGBjk4kL8/PX5MMTHk40MNGihn9o8//jg6Orpdu3aPHz/u2bNnbCz3G5PlVdoGvX379n/88YdIJOIoVJXU7YI7EQUGBgqFwu3bt8fHx8uPr1+/vl69eseOHTt16hRX2YhowYIFhYWF48ePZ7vcyKxfv/7Fixddu3blsDOysXEPQ0NnIkpPF+XkhHEVQ0PY2NDSpUREfn4kdygAGRjQxo1ERMuXU04ON9mIKD8/X3Z2pZHcwSkSiYS9a7ts2bImTZpwlg/ewcbGZunSpUTk5+dX6WkTy5cvz+FuYWFdAQAAAACAtqs7BfeSkpK8vB02Ni+HD+c6ChFpVVeZvLy8IUOGJCcnf/rpp3v27JHf8cq59evpu+/o3r03I+XlNGAABQdTWho1a0aLF9O9e5SQQAEBZG+v/ABNmjS5evXqkCFDLC0H9e/f8vfflT9FjcXFxZF2lq1v3rxJ2pm8ihwcHL766qvy8nJfX1/5cWtr62+++YaI/Pz8ysq4aZly5cqVQ4cOGRgYKJya+PTp08DAQB6PJxKJeJx2Nqhf/2siImKePZsqFidymEQT+PlRy5Z09y7t2FFh/PPPqVcvysigNWs4Ska0du3aly9fsudtyo///PPPcXFxdnZ2qntYCmrJz8+vZcuWd+/e3VFxYbEnlL569YrDLeRYVwAAAAAAoO00qLRaS2fPnj179usmTYbb2XEdhYi0p6tMaWnpqFGj/vnnHwcHh6NHj+rr66th0ocP6ebNNx/v2Ug3dCj16UOzZhHD/DsiFNLXX9PChRQbS0+f0rffUps2qk1rbGx89OjR3r13ZGfzvviCgoJUO10V/f3335mZmfXr12/UqBHXWapHLBbfu3dPIBC0b9+e6ywqtHbtWktLy/Pnzx87dkx+3MfHp1WrVvfu3du+fbv6U0mlUl9fX4ZhFi9ezB6aKrNgwYKSkhIvLy/20FQOWVh8IRRaEJFEkvPkySiptJjbPNzS1f13M/uKFVTxUAASiUggoG3b6MEDDoI9efIkKCiIz+cr3KHJyclZuXIlEW3durW6h2eA2ujq6m7cuJHee9rEAy4WFtYVAAAAAADUAXWn4B4WFkZEIzWkoQwRaUNXGYZhpk6dev78+UaNGp04ccLc3Fw983p7U9++bz4uX37fi4OD6epVCgl5M7JuHW3aRBU7qaiWjo7O99/riUTEMOTrSzNmVGjvoE7Z2dkhISFDhw51dXW1s7MrKiq6dOkSN1FqKj4+vqysrE2bNnW7aGJhYbFixQoimjdvnlgslo3r6uqy/dNXrVql/sN4f/311xs3bjRu3Fihj/zFixfDwsKMjY0Vtr1zgs83sLT8kv11cXFcSgrHLe85N3IkDRhA2dm0alWF8Q4daMoUKiur5FRVNfDz8xOLxZMnT+7cubP8+KpVqzIyMnr06DF69GgOYkGVjRw5csCAAdnZ2asqLqwOHTpMmTKlrKxsPhcLC+sKAAAAAADqgDpScJdIJMePHycNK7hrfleZ+fPn79u3z9TUNCIiQmG7q0qdPk3Z2W8+3N3f9+KWLWnhQlq0iHJz1ZXvHXx86PffSV+ffvqJ3N0pP199U+fn5+/bt8/Nzc3GxmbSpEnHjx8XCoUCgaCwsHDgwIEHDhxQX5Raq/P9ZGRmz57drl27J0+ebNu2TX586NChgwYNys7OZjdsqk1+fj4743fffafQGZltfbN06VINeWDC2noOjydgf52RsT0rax+3eTgXGEhCIW3fTnfuVBhfu5bMzCgigk6eVGueCxcuhIeHm5iYKDQeuX///g8//PD29mTQTLLTJu5UXFhr1641MzOLiIg4qd6FhXUFAAAAAAB1Qx0puP/111+ZmZmtWrVqo+r2ItWh4V1ltm/fHhgYqKOj88cff3To0IHrOO+zbBkZGZEGbL2lMWPowgWqX59On6YePSglRbXTicXiY8eOTZw4sVGjRl5eXidOnJBKpa6urjt27EhPT3/8+PHcuXPFYvEXX3wREBCg2ijKU+dPTJURCoXs6bWrV69WuOu2detWHR2dn3766Z9//lFbHjZG9+7dx44dKz++Y8eOf/75p3nz5n5+fmoL8366us1MTQfJfpuUNKukhIu2KRrDwYGmTyeJhBSaV1tb0/LlRER+fqS2QwFkd2iWL1/esGFD+Uvs4QRfffWVs7OzmtJALTg4OEyfPl12GKmMtbU1e2ypOk+bwLoCAAAAAIA6o44U3I8cOUJEGvigscZ2lQkNDfX29ubxeL/88kv//v25jvMvsZhevKhk3MCAgoPphx/UHqgy3brR1avUqhX98w917Uq3byt/ColEcvny5RkzZlhbWw8bNmzv3r1FRUWurq4ikSg1NfXy5cvTp083NTUVCARBQUEikYjP569aterLL7/k6hzOavlwCu5E1LdvX3d3d9nWcpm2bdvOnDlTVmBSA3aj/dtbRLOzs/39/Ylo8+bN6jnCoYrq158t+7VEkp+YOEYqLeIwD+fWrCFLSzp/nsLDK4x7e1ObNmRl9einn9T0HAC7Ifqjjz7y8fGRH2c3RJuamnJ4/8/WxaXf/PkWLVtyFUDrrFmzhj1tIrziwvL29m7dujW7tVw9SbCuAAAAAACg7mC0n1QqbdKkCRH9/fffXGdRlJubq6+vz+fzX7x4wXWWNy5dusRW1jZt2qTmqZ88YYiYK1cqDI4cyYwezRw8yHzyCTNmDNOpE5OdzZw/zxAxhYVvXjZsGEPE/PmnmiNXLjOT6dmTIWJMTJgTJ5TznhIJc+kS4+u72MrKSvYd6uLismXLluTk5Pd84pEjR9h+6H379s3JyVFOGtUoLy83MjLi8XhZWVlcZ1GTx48f6+np8fl8hR9QWVlZ7F/04cOH1RBj6NChRDR16lSFcba21bt3bzVkqCZpfHyrmBiSfTx7phj+QxMUxBAx9vZMSUmF8ZMnLxGRmZnZq1evVJ0hKyvL0tKSiI4ePSo/Xlpa2rp1ayLaunWrqjO8x+akJOeYmP3p6Rxm0DpBQUFEZG9vX1JxYbEHPmNdMVhXAAAAAABQTXVhh3tsbGxSUpKtra2LiwvXWRT9Z1eZbdu2BQcHX7lypahITZs37969O2LEiJKSkhkzZixcuFA9k8qYmdHChWRrW2Fw5EgaMYKMjCgykkJDqXt3+uMPatqUFi8mHZ03LwsOpsWLSUN2mFla0tmzNH485efTsGG0Y0et3i0hgQICqGVL6tWLYmIyMjMzHRwc/P3979+/f+PGDT8/v8aNG7/n00eMGBEZGWljY3P+/HlXV9fnz5/XKo0qPXjwoLCwsFmzZmo7oZdz9vb23t7eUqnU19eXYRjZuLm5OXtW4YIFC0pKSlSa4fz588eOHTMxMVmzZo38+L1797Zv3y4QCAIDA1UaoEZ49evPlP2mpIQOHNgZE7OZw0CcmzWL2renJ08oKKjC+KBBnw4ePDgnJ0cNpwKsWLHi9evXffr0GT58uPx4cHDwgwcPWrRoMXv27Hd9LmimWbNmtW/f/smTJ0EVF5a7uzvWFQAAAAAAQE1wXfFXgmXLlhHRnDlzuA5SuZCQEHr3BlLZUaUCgcDBwcHLy0skEkVFRRUXF6siTGpqKjvj0KFDy8vLVTFF7c2ezRw8yHWIqpFKGX9/hoghYubOZSSS6n16QgKzYgXTosW/70DENG/ObNhwPy4urgZhnj592rZtWyJq2LBhTExMDd5BKcrKyk6cODFx4sRKN0Xu27ePiEaPHq3+YBzKy8tjWxIfrLiyy8vLP/74YyJat26d6mYvKytr164dVfZEy6BBg4ho5syZqpu9NsrLs2/eNLpxg9auJWtrIiIDA507d+5wnYtLp08zRIy1tTQtLVt+/N69ezo6Onw+X6Xf+wkJCexxzf/884/8+KtXr8zMzIjohLKe96kp7ESumXPnzhGRiYmJwtN47LoSCAS3b99W3exYVwAAAAAAUMfUhYI7W2Q8f/4810Eq956uMlKp9P/+7/+mTp3q5OQkFArlb4To6uq6uLjMnDlz586dcXFxZWVlSknCHo7auXPnQvleLZrk5k3GyYlRze0GVdm+nREKGV1dZvNmxtyc+e67N5eSkhhzc+bWrQqvT0piRCLG1fVNnd3Skpk+nYmKYqTSWiXJysrq3bs3ERkZGYWHh9fqvapJIpFERUXNnTvXxsaGXcPbt29/+2Xz588norVr16ozmyb4+eefiahx48YFBQXy4xcuXCAiY2Pj1NRUFU3NHtz6dr8ItmWzubl5RkaGiqauvefPZwwZUuEmcdu2bfPz87nOxaVZsxJtbbtPmTJFYZw9D6BHjx7SWv4cebcBAwYQkbe3t8L49OnTiWjIkCEqmrfqUBitsXd1ncK6YrCuAAAAAACgmrS+4P7w4UMisrCwUEpJWkXY/4+ttP4oU1paGh8fv2fPnunTpzs4OPD5Fbr96OjoODg4TJ8+fc+ePfHx8ZLqbqVmmNLSUvZw1BYtWqihH2vNxMYyLi7Mgwdc56i+iAhm/34mJITh8xlDQ+bp03/Hnz1jiJgbNxiGYTIzmR07GFdXhsf7t85uZsZ4eTHh4YwSF69YLJ44cSL7zERwcLDS3vfd/v77b4WmN46OjmvWrHkq+1OQ06dPHyKKiIhQQzCNIpFI2J5XAQEBCpdGjhxJRJMmTVLFvK9fv2Y7IyvcgBGLxa1atSIikUikinmVJScnTk+PRxVNmDCB61xcetepANnZ2fXr1yei0NBQVczLHk5ubm6emZkpP37r1i2BQKCjo3P//n1VzFstKIzW2HvWFXvaxB9//KGKebGuAAAAAACg7tH6gvuGDRveVauaM2fOFYXTOTny/q4ylcrPz4+KihKJRF5eXg4ODjxehZKTsbGxq6vr3Llz2fr7f+47k0qlbBG2fv36jx49qt1Xoyq7djHNmzPh4UxMDJOUxHWaGgkJYczNmaFDGTe3f0fYgvvp00yfPoxA8G+d3diYmTCBOXaMEYtVEkMqlfr7+7NrZu7cuTW4PVMVCQkJ/v7+bNGW1aRJk7lz50ZFRb0nmIWFBRFp1BnCahMdHc3j8QwMDJ49eyY//uTJE319fR6Pd+3aNaVPOmvWLCLq27evwvh3333H7hYvLS1V+qTK1b59e3rLjh07uM7FJfb4jW7duin88P/xxx+JyM7OTunPMInF4pYtWxLRtm3bFC716tWLiPz8/JQ7Y82gMFob71pX27dvZ3/CY11xHQQAAAAAALSD1hfcO3fuTERHjx5VGD9w4AARCYXCVatWcd6sPC8v711dZaooKyvrzJkz69evHzVqlJ2dnULtycLC4sCBA+/59MWLFxORiYlJbGxszQKowaZNzOLF/378+SfXaWqELbg/esTo6TGHDzPM/wru168ztraMnh7j7s7s2cOopx/GwYMH9fX1iWjkyJFKrJI8f/5cJBK5urrKlp+lpeX06dOjoqL+88bP06dPicjGxkZZYbTO2LFjiWj8+PEK40uXLmXrXMqdLj4+XigUCoXC+Ph4+fH09PR6tNc2owAAIABJREFU9eoR0cmTJ5U7oyocOnTo7YK7vr6+Jv80UzXZqQAKP/nLy8udnJxIBV2bNm3axD68ovAwGfu3U79+/ezs7Hd9rjqhMFob71lX7GkT69evV+6MWFcAAAAAAFAnaXfBPSUlhcfjGRoavl1PLCsr8/f3FwgERNSlS5fHjx9zklCmS5cuROTi4rJhw4Zz587V8v8hs7Ozo6Kivv32W3d39wYNGhDRuXPn3vXi//u//yMiHR2dU6dO1WZS+E9swZ1hmIULmcaNmby8Ny1lrl9n1F83uHz5MtsKoHPnzmlpabV5q8zMzB07dri6usoetjAzM/Py8goPD69KNyeJRHLhwgX2iM5BgwbVJolWS05ONjQ05PF4f/31l/x4fn6+m5vbex4OqBmxWLxly5Zly5YpjE+bNo2I3N3dlTudipSVldna2r5dc2/RokVOTg7X6Tjzyy+/0HtPBVBupfLFixeTJ08+c+aM/GBxcXGzZs006oEDFEZr6T3rauLEiUo/agLrCgAAAAAA6iTtLrgnJSW5ubkZGBgcP3680hdcuHCBbS1tamq6d+9eNcdjlZaWzp8/n8fjsaVPmYYNG7q7u/v7+4eHh2dlZdVmiuTk5OJ3HDMaHh4uEAh4PN6vv/5amymgKmQF9/x8pnFjxs+vQg93Tjx8+JB9YL958+Z3796t7qdnZ2fv2bPH3d1ddqivgYGBu7v7oUOHxFVriBMfH7948eJGjRqxn96rV6/ExMTqfx11x8qVK4nok08+UVGrn/908+ZNgUCgq6urCZ2Rq2j16tVvF9yJaNiwYao7yFHDSSSSTp06EZG/v7/CpW+++eby5ctqyMD+vTg5OXH+GJkMCqO19J51pTZYVwAAAAAAoO20u+DOMMyoUaOIiMfjzZs3r6Sk5O0X5OTkjB8/nq3OeHh4qPnx5GfPnnXv3p2IhEKhj4/P7t27vb29u3btamBgIF82EggEjo6OkyZN2rZt29WrV99VPa+u69evGxkZqaK9AFRKVnBnGCY0lNHRYU6f5rjgzjBMRkYG2wHG3Nz84sWLVfmUoqKi8PBwDw8PXV1ddonq6em5u7vv2bMnv2oNceLj4/39/dlaP6tp06Zz5879kNuAsIqKipo2bUpEO3fu5CTAp59+SkQLFizgZPaaefXqlZ6eXqU196CgIK7TceZdpwKoR0pKCvvvSxV/qqgHCqO1h3X1NqwrAAAAAACoFq0vuEulUpFIxJYFHR0d4+LiKn3Znj17jI2N2aqf0vs2vEtYWJi5uTkRNWnSRGG/YVlZWXx8/J49e+bOnevq6sr22pYRCoUODg5eXl4ikSgqKqpm9fdHjx5ZW1sT0VdffaWkLwj+g3zBnWGYgQOZjh25L7gzDFNcXPz5558Tka6ubkhIyPtfnJCQILshJBQKBw4cuGvXrir27nj27JlIJOrYsaNsMdva2rInqX6wO5Hftn//fiKytrZWf0eUgwcPcjV1LX3xxReVFtyFQmF0dDTX6Tgzbtw4Iho3bpz6p2b/Rjw8PNQ/9XugMKoUWFcKsK4AAAAAAKBatL7gzrpx40arVq2ISF9fXyQSVVraS0xM7NatG1ugWbx4cWlpqeryFBcXz507l60HjRgx4j87xijU32Xbilk6Ojry9feqtPJ49epVixYtiMjNza0qLbZBKRQK7o8eMfr6GlFwZxhGKpX6+/uzj4P4+/u/p/wtkUhsbW2dnZ1FItHLly+r8uYpKSnsSaqyDu/m5uZV7/D+oZFKpT179iSixYsXq3PeoqIitjPyzz//rM55leLKlSuVFtyJyMrKKjMzk+uA3EhOTma3A1+6dEmd8169epXH4+nr6z99+lSd8/4nFEaVAutKAdYVAAAAAABUSx0puDMMU1RUJKtxDxw4sNJCoXpOUr13756Tk5Os+l+DdygtLY2JiRGJRF5eXg4ODnw+X766pKur6+zsPHfu3D179sTHx7/dCbqwsJA9o7VTp04K556BSikU3BmGWbFCUwrurB07drDd2CdNmvSeOzdVXDZZWVkKHd4NDQ09PDzCw8Or2OH9gxUbG8vn83V1dR88eKC2SQMCAoioQ4cOmtMZuVqcnZ3fVXNv27btB/sIBXsjTZ2nAkil0s6dOxPR8uXL1TNj1aEwqixYV/KwrgAAAAAAoFrqTsGddfjwYUtLS7ZnQkRERKWvUelJqnv27GH3hbVu3frWrVtKec+8vLyoqChZ/V22iZhlYmLi6uoqq7+LxeJBgwYRkb29fVpamlICQBWJxYzCGQHl5UxWFqNR5c2TJ0+amJgQUZ8+fWp2pEFhYeGhQ4fc3d1lj2Lo6+uzHd5xg6fqvvzySyIaPny4eqaTbVmNjIxUz4xK9+uvv76r4M7j8ap4ukDdIzsV4JdfflHPjLt27SIiW1tbDfwzR2FUWbCu5GFdAQAAAABAtfAYhnlXCUNLJScnT5w4MTIyksfjeXt7b9q06e3T9nJzc7/++mu2nbGHh8dPP/1kZmZWy3nz8/NnzZq1b98+IvLy8tq+fTvbNV7pXr9+HSMnJSVF/qqRkVFhYaG1tXV0dDTbVQbUZvNm2ruX4uLejIjFZGND+/aRuzt3sd4SFxfn7u6ekpLi4OAQERHBthn5TyUlJWfPng0NDQ0LCyssLCQigUDQtWvXiRMnjhs3ztTUVLWh65z09PTWrVvn5uZOnjxZ/nRZFTl8+PDNmzfHjh3L/tzTRsXFxXZ2dq9fv377UocOHW7duqX+SBriwIEDEyZMMDMz8/b2VjgRROlKS0u3bduWlZW1d+9eT09Plc5VAwmFhYklJY5GRh+p+M/hQ4B1JYN1BQAAAAAA1VIHC+5ExDBMcHDwokWLSktLHR0df/vtt48//vjtl4WEhMyePbugoKBp06b79u3r0aNHjWe8devW2LFjHz16ZGBgIBKJpk+fXov41ZOTkxMTE3P58uXY2NiYmJiMjIxZs2Z5enqyj2aDOq1dSzt30tOnb0ZKSsjAgA4fplGjuItVmdTUVHd399u3bzdo0ODYsWMuLi7veqVEIrl69erevXsPHjyYl5d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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 105,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -25268,13 +25695,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 106,
    "id": "261188e7-9a18-4b60-8629-1a0674e2dbec",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1300x500 with 1 Axes>"
       ]
@@ -25289,7 +25716,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 107,
    "id": "a2b0c263-d1c2-408f-bdc8-220c4c35787e",
    "metadata": {},
    "outputs": [
@@ -25325,97 +25752,97 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP=FP</th>\n",
-       "      <td>1024</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>254</td>\n",
-       "      <td>46.9</td>\n",
-       "      <td>140</td>\n",
-       "      <td>38.5</td>\n",
+       "      <td>1311</td>\n",
+       "      <td>57.2</td>\n",
+       "      <td>290</td>\n",
+       "      <td>45.2</td>\n",
+       "      <td>217</td>\n",
+       "      <td>44.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AP=SE</th>\n",
-       "      <td>848</td>\n",
-       "      <td>46.4</td>\n",
-       "      <td>193</td>\n",
+       "      <td>1036</td>\n",
+       "      <td>45.2</td>\n",
+       "      <td>228</td>\n",
        "      <td>35.6</td>\n",
-       "      <td>139</td>\n",
-       "      <td>38.2</td>\n",
+       "      <td>202</td>\n",
+       "      <td>41.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AP=GA</th>\n",
-       "      <td>528</td>\n",
-       "      <td>28.9</td>\n",
-       "      <td>120</td>\n",
-       "      <td>22.1</td>\n",
-       "      <td>98</td>\n",
-       "      <td>26.9</td>\n",
+       "      <td>633</td>\n",
+       "      <td>27.6</td>\n",
+       "      <td>132</td>\n",
+       "      <td>20.6</td>\n",
+       "      <td>137</td>\n",
+       "      <td>28.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE=X</th>\n",
-       "      <td>63</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>13</td>\n",
-       "      <td>2.4</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2.7</td>\n",
+       "      <td>85</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>17</td>\n",
+       "      <td>3.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP=GA</th>\n",
-       "      <td>129</td>\n",
-       "      <td>7.1</td>\n",
-       "      <td>41</td>\n",
-       "      <td>7.6</td>\n",
-       "      <td>28</td>\n",
-       "      <td>7.7</td>\n",
+       "      <td>172</td>\n",
+       "      <td>7.5</td>\n",
+       "      <td>53</td>\n",
+       "      <td>8.3</td>\n",
+       "      <td>25</td>\n",
+       "      <td>5.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP=SE</th>\n",
-       "      <td>128</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>29</td>\n",
-       "      <td>5.4</td>\n",
-       "      <td>16</td>\n",
-       "      <td>4.4</td>\n",
+       "      <td>150</td>\n",
+       "      <td>6.6</td>\n",
+       "      <td>46</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>18</td>\n",
+       "      <td>3.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1=GA</th>\n",
-       "      <td>54</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>32</td>\n",
-       "      <td>5.9</td>\n",
-       "      <td>13</td>\n",
-       "      <td>3.6</td>\n",
+       "      <td>65</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>29</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>17</td>\n",
+       "      <td>3.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP=X</th>\n",
-       "      <td>68</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>11</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1.4</td>\n",
+       "      <td>102</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1=B2</th>\n",
-       "      <td>9</td>\n",
+       "      <td>12</td>\n",
        "      <td>0.5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>1.5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2=GA</th>\n",
-       "      <td>49</td>\n",
-       "      <td>2.7</td>\n",
-       "      <td>29</td>\n",
-       "      <td>5.4</td>\n",
+       "      <td>60</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>34</td>\n",
+       "      <td>5.3</td>\n",
        "      <td>8</td>\n",
-       "      <td>2.2</td>\n",
+       "      <td>1.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AP=X</th>\n",
-       "      <td>5</td>\n",
+       "      <td>6</td>\n",
        "      <td>0.3</td>\n",
        "      <td>1</td>\n",
        "      <td>0.2</td>\n",
@@ -25424,10 +25851,10 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2=X</th>\n",
-       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>1</td>\n",
        "      <td>0.2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0.6</td>\n",
        "      <td>0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
@@ -25437,35 +25864,35 @@
       ],
       "text/plain": [
        "       count_pre-filtered  frequency_pre-filtered  count_reduced  \\\n",
-       "AP=FP                1024                    56.0            254   \n",
-       "AP=SE                 848                    46.4            193   \n",
-       "AP=GA                 528                    28.9            120   \n",
-       "SE=X                   63                     3.4             13   \n",
-       "FP=GA                 129                     7.1             41   \n",
-       "FP=SE                 128                     7.0             29   \n",
-       "B1=GA                  54                     3.0             32   \n",
-       "FP=X                   68                     3.7             11   \n",
-       "B1=B2                   9                     0.5              8   \n",
-       "B2=GA                  49                     2.7             29   \n",
-       "AP=X                    5                     0.3              1   \n",
-       "B2=X                    3                     0.2              3   \n",
+       "AP=FP                1311                    57.2            290   \n",
+       "AP=SE                1036                    45.2            228   \n",
+       "AP=GA                 633                    27.6            132   \n",
+       "SE=X                   85                     3.7             14   \n",
+       "FP=GA                 172                     7.5             53   \n",
+       "FP=SE                 150                     6.6             46   \n",
+       "B1=GA                  65                     2.8             29   \n",
+       "FP=X                  102                     4.5             14   \n",
+       "B1=B2                  12                     0.5              9   \n",
+       "B2=GA                  60                     2.6             34   \n",
+       "AP=X                    6                     0.3              1   \n",
+       "B2=X                    2                     0.1              1   \n",
        "\n",
        "       frequency_reduced  count_custom-filtered  frequency_custom_filtered  \n",
-       "AP=FP               46.9                    140                       38.5  \n",
-       "AP=SE               35.6                    139                       38.2  \n",
-       "AP=GA               22.1                     98                       26.9  \n",
-       "SE=X                 2.4                     10                        2.7  \n",
-       "FP=GA                7.6                     28                        7.7  \n",
-       "FP=SE                5.4                     16                        4.4  \n",
-       "B1=GA                5.9                     13                        3.6  \n",
-       "FP=X                 2.0                      5                        1.4  \n",
-       "B1=B2                1.5                      0                        0.0  \n",
-       "B2=GA                5.4                      8                        2.2  \n",
+       "AP=FP               45.2                    217                       44.4  \n",
+       "AP=SE               35.6                    202                       41.3  \n",
+       "AP=GA               20.6                    137                       28.0  \n",
+       "SE=X                 2.2                     17                        3.5  \n",
+       "FP=GA                8.3                     25                        5.1  \n",
+       "FP=SE                7.2                     18                        3.7  \n",
+       "B1=GA                4.5                     17                        3.5  \n",
+       "FP=X                 2.2                      8                        1.6  \n",
+       "B1=B2                1.4                      2                        0.4  \n",
+       "B2=GA                5.3                      8                        1.6  \n",
        "AP=X                 0.2                      0                        0.0  \n",
-       "B2=X                 0.6                      0                        0.0  "
+       "B2=X                 0.2                      0                        0.0  "
       ]
      },
-     "execution_count": 51,
+     "execution_count": 107,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -25492,7 +25919,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 108,
    "id": "3c73d774-682d-4dc8-9086-7ee81c137f1b",
    "metadata": {},
    "outputs": [
@@ -25531,38 +25958,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>0.140770</td>\n",
-       "      <td>0.111311</td>\n",
-       "      <td>0.161415</td>\n",
+       "      <td>0.143362</td>\n",
+       "      <td>0.111463</td>\n",
+       "      <td>0.183834</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>0.089126</td>\n",
-       "      <td>0.069282</td>\n",
-       "      <td>0.129486</td>\n",
+       "      <td>0.090140</td>\n",
+       "      <td>0.071498</td>\n",
+       "      <td>0.117084</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>0.102575</td>\n",
-       "      <td>0.076425</td>\n",
-       "      <td>0.144180</td>\n",
+       "      <td>0.101006</td>\n",
+       "      <td>0.075892</td>\n",
+       "      <td>0.137825</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>0.104821</td>\n",
-       "      <td>0.075186</td>\n",
-       "      <td>0.166848</td>\n",
+       "      <td>0.104038</td>\n",
+       "      <td>0.072797</td>\n",
+       "      <td>0.159363</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>0.074256</td>\n",
-       "      <td>0.052510</td>\n",
-       "      <td>0.143353</td>\n",
+       "      <td>0.090624</td>\n",
+       "      <td>0.064078</td>\n",
+       "      <td>0.158110</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>0.091785</td>\n",
-       "      <td>0.073320</td>\n",
+       "      <td>0.086427</td>\n",
+       "      <td>0.061338</td>\n",
        "      <td>0.149357</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -25572,15 +25999,15 @@
       "text/plain": [
        "           similarity_pre-filtered  similarity_reduced  similarity_custom\n",
        "subpocket                                                                \n",
-       "AP                        0.140770            0.111311           0.161415\n",
-       "FP                        0.089126            0.069282           0.129486\n",
-       "SE                        0.102575            0.076425           0.144180\n",
-       "GA                        0.104821            0.075186           0.166848\n",
-       "B1                        0.074256            0.052510           0.143353\n",
-       "B2                        0.091785            0.073320           0.149357"
+       "AP                        0.143362            0.111463           0.183834\n",
+       "FP                        0.090140            0.071498           0.117084\n",
+       "SE                        0.101006            0.075892           0.137825\n",
+       "GA                        0.104038            0.072797           0.159363\n",
+       "B1                        0.090624            0.064078           0.158110\n",
+       "B2                        0.086427            0.061338           0.149357"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 108,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -25611,13 +26038,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 109,
    "id": "e96149a4-9ee2-4823-94e8-6cba7cf04b4d",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 2000x500 with 3 Axes>"
       ]
@@ -25676,7 +26103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 110,
    "id": "d2bf7c64-9a20-4fe0-870d-8da0032ab8e0",
    "metadata": {},
    "outputs": [
@@ -25685,28 +26112,28 @@
       "text/html": [
        "<style type=\"text/css\">\n",
        "</style>\n",
-       "<table id=\"T_90e47\">\n",
+       "<table id=\"T_6f1f1\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_90e47_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">pre-filtered</th>\n",
-       "      <th id=\"T_90e47_level0_col4\" class=\"col_heading level0 col4\" colspan=\"4\">reduced</th>\n",
-       "      <th id=\"T_90e47_level0_col8\" class=\"col_heading level0 col8\" colspan=\"4\">custom</th>\n",
+       "      <th id=\"T_6f1f1_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">pre-filtered</th>\n",
+       "      <th id=\"T_6f1f1_level0_col4\" class=\"col_heading level0 col4\" colspan=\"4\">reduced</th>\n",
+       "      <th id=\"T_6f1f1_level0_col8\" class=\"col_heading level0 col8\" colspan=\"4\">custom</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"blank level1\" >&nbsp;</th>\n",
-       "      <th id=\"T_90e47_level1_col0\" class=\"col_heading level1 col0\" ># HBD</th>\n",
-       "      <th id=\"T_90e47_level1_col1\" class=\"col_heading level1 col1\" ># HBA</th>\n",
-       "      <th id=\"T_90e47_level1_col2\" class=\"col_heading level1 col2\" >LogP</th>\n",
-       "      <th id=\"T_90e47_level1_col3\" class=\"col_heading level1 col3\" ># Heavy atoms</th>\n",
-       "      <th id=\"T_90e47_level1_col4\" class=\"col_heading level1 col4\" ># HBD</th>\n",
-       "      <th id=\"T_90e47_level1_col5\" class=\"col_heading level1 col5\" ># HBA</th>\n",
-       "      <th id=\"T_90e47_level1_col6\" class=\"col_heading level1 col6\" >LogP</th>\n",
-       "      <th id=\"T_90e47_level1_col7\" class=\"col_heading level1 col7\" ># Heavy atoms</th>\n",
-       "      <th id=\"T_90e47_level1_col8\" class=\"col_heading level1 col8\" ># HBD</th>\n",
-       "      <th id=\"T_90e47_level1_col9\" class=\"col_heading level1 col9\" ># HBA</th>\n",
-       "      <th id=\"T_90e47_level1_col10\" class=\"col_heading level1 col10\" >LogP</th>\n",
-       "      <th id=\"T_90e47_level1_col11\" class=\"col_heading level1 col11\" ># Heavy atoms</th>\n",
+       "      <th id=\"T_6f1f1_level1_col0\" class=\"col_heading level1 col0\" ># HBD</th>\n",
+       "      <th id=\"T_6f1f1_level1_col1\" class=\"col_heading level1 col1\" ># HBA</th>\n",
+       "      <th id=\"T_6f1f1_level1_col2\" class=\"col_heading level1 col2\" >LogP</th>\n",
+       "      <th id=\"T_6f1f1_level1_col3\" class=\"col_heading level1 col3\" ># Heavy atoms</th>\n",
+       "      <th id=\"T_6f1f1_level1_col4\" class=\"col_heading level1 col4\" ># HBD</th>\n",
+       "      <th id=\"T_6f1f1_level1_col5\" class=\"col_heading level1 col5\" ># HBA</th>\n",
+       "      <th id=\"T_6f1f1_level1_col6\" class=\"col_heading level1 col6\" >LogP</th>\n",
+       "      <th id=\"T_6f1f1_level1_col7\" class=\"col_heading level1 col7\" ># Heavy atoms</th>\n",
+       "      <th id=\"T_6f1f1_level1_col8\" class=\"col_heading level1 col8\" ># HBD</th>\n",
+       "      <th id=\"T_6f1f1_level1_col9\" class=\"col_heading level1 col9\" ># HBA</th>\n",
+       "      <th id=\"T_6f1f1_level1_col10\" class=\"col_heading level1 col10\" >LogP</th>\n",
+       "      <th id=\"T_6f1f1_level1_col11\" class=\"col_heading level1 col11\" ># Heavy atoms</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >subpocket</th>\n",
@@ -25726,100 +26153,100 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_90e47_level0_row0\" class=\"row_heading level0 row0\" >AP</th>\n",
-       "      <td id=\"T_90e47_row0_col0\" class=\"data row0 col0\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row0_col1\" class=\"data row0 col1\" >3.00</td>\n",
-       "      <td id=\"T_90e47_row0_col2\" class=\"data row0 col2\" >1.14</td>\n",
-       "      <td id=\"T_90e47_row0_col3\" class=\"data row0 col3\" >12.00</td>\n",
-       "      <td id=\"T_90e47_row0_col4\" class=\"data row0 col4\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row0_col5\" class=\"data row0 col5\" >3.00</td>\n",
-       "      <td id=\"T_90e47_row0_col6\" class=\"data row0 col6\" >1.19</td>\n",
-       "      <td id=\"T_90e47_row0_col7\" class=\"data row0 col7\" >10.00</td>\n",
-       "      <td id=\"T_90e47_row0_col8\" class=\"data row0 col8\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row0_col9\" class=\"data row0 col9\" >2.00</td>\n",
-       "      <td id=\"T_90e47_row0_col10\" class=\"data row0 col10\" >1.40</td>\n",
-       "      <td id=\"T_90e47_row0_col11\" class=\"data row0 col11\" >9.00</td>\n",
+       "      <th id=\"T_6f1f1_level0_row0\" class=\"row_heading level0 row0\" >AP</th>\n",
+       "      <td id=\"T_6f1f1_row0_col0\" class=\"data row0 col0\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row0_col1\" class=\"data row0 col1\" >3.00</td>\n",
+       "      <td id=\"T_6f1f1_row0_col2\" class=\"data row0 col2\" >1.18</td>\n",
+       "      <td id=\"T_6f1f1_row0_col3\" class=\"data row0 col3\" >12.00</td>\n",
+       "      <td id=\"T_6f1f1_row0_col4\" class=\"data row0 col4\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row0_col5\" class=\"data row0 col5\" >2.50</td>\n",
+       "      <td id=\"T_6f1f1_row0_col6\" class=\"data row0 col6\" >1.24</td>\n",
+       "      <td id=\"T_6f1f1_row0_col7\" class=\"data row0 col7\" >10.00</td>\n",
+       "      <td id=\"T_6f1f1_row0_col8\" class=\"data row0 col8\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row0_col9\" class=\"data row0 col9\" >2.00</td>\n",
+       "      <td id=\"T_6f1f1_row0_col10\" class=\"data row0 col10\" >1.27</td>\n",
+       "      <td id=\"T_6f1f1_row0_col11\" class=\"data row0 col11\" >9.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_90e47_level0_row1\" class=\"row_heading level0 row1\" >B1</th>\n",
-       "      <td id=\"T_90e47_row1_col0\" class=\"data row1 col0\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row1_col1\" class=\"data row1 col1\" >1.50</td>\n",
-       "      <td id=\"T_90e47_row1_col2\" class=\"data row1 col2\" >1.16</td>\n",
-       "      <td id=\"T_90e47_row1_col3\" class=\"data row1 col3\" >7.50</td>\n",
-       "      <td id=\"T_90e47_row1_col4\" class=\"data row1 col4\" >0.00</td>\n",
-       "      <td id=\"T_90e47_row1_col5\" class=\"data row1 col5\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row1_col6\" class=\"data row1 col6\" >1.16</td>\n",
-       "      <td id=\"T_90e47_row1_col7\" class=\"data row1 col7\" >7.00</td>\n",
-       "      <td id=\"T_90e47_row1_col8\" class=\"data row1 col8\" >0.00</td>\n",
-       "      <td id=\"T_90e47_row1_col9\" class=\"data row1 col9\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row1_col10\" class=\"data row1 col10\" >2.59</td>\n",
-       "      <td id=\"T_90e47_row1_col11\" class=\"data row1 col11\" >10.00</td>\n",
+       "      <th id=\"T_6f1f1_level0_row1\" class=\"row_heading level0 row1\" >B1</th>\n",
+       "      <td id=\"T_6f1f1_row1_col0\" class=\"data row1 col0\" >0.00</td>\n",
+       "      <td id=\"T_6f1f1_row1_col1\" class=\"data row1 col1\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row1_col2\" class=\"data row1 col2\" >1.18</td>\n",
+       "      <td id=\"T_6f1f1_row1_col3\" class=\"data row1 col3\" >8.00</td>\n",
+       "      <td id=\"T_6f1f1_row1_col4\" class=\"data row1 col4\" >0.00</td>\n",
+       "      <td id=\"T_6f1f1_row1_col5\" class=\"data row1 col5\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row1_col6\" class=\"data row1 col6\" >1.17</td>\n",
+       "      <td id=\"T_6f1f1_row1_col7\" class=\"data row1 col7\" >7.00</td>\n",
+       "      <td id=\"T_6f1f1_row1_col8\" class=\"data row1 col8\" >0.00</td>\n",
+       "      <td id=\"T_6f1f1_row1_col9\" class=\"data row1 col9\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row1_col10\" class=\"data row1 col10\" >1.83</td>\n",
+       "      <td id=\"T_6f1f1_row1_col11\" class=\"data row1 col11\" >9.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_90e47_level0_row2\" class=\"row_heading level0 row2\" >B2</th>\n",
-       "      <td id=\"T_90e47_row2_col0\" class=\"data row2 col0\" >0.00</td>\n",
-       "      <td id=\"T_90e47_row2_col1\" class=\"data row2 col1\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row2_col2\" class=\"data row2 col2\" >1.32</td>\n",
-       "      <td id=\"T_90e47_row2_col3\" class=\"data row2 col3\" >9.00</td>\n",
-       "      <td id=\"T_90e47_row2_col4\" class=\"data row2 col4\" >0.00</td>\n",
-       "      <td id=\"T_90e47_row2_col5\" class=\"data row2 col5\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row2_col6\" class=\"data row2 col6\" >1.32</td>\n",
-       "      <td id=\"T_90e47_row2_col7\" class=\"data row2 col7\" >8.00</td>\n",
-       "      <td id=\"T_90e47_row2_col8\" class=\"data row2 col8\" >0.00</td>\n",
-       "      <td id=\"T_90e47_row2_col9\" class=\"data row2 col9\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row2_col10\" class=\"data row2 col10\" >2.10</td>\n",
-       "      <td id=\"T_90e47_row2_col11\" class=\"data row2 col11\" >10.00</td>\n",
+       "      <th id=\"T_6f1f1_level0_row2\" class=\"row_heading level0 row2\" >B2</th>\n",
+       "      <td id=\"T_6f1f1_row2_col0\" class=\"data row2 col0\" >0.00</td>\n",
+       "      <td id=\"T_6f1f1_row2_col1\" class=\"data row2 col1\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row2_col2\" class=\"data row2 col2\" >1.17</td>\n",
+       "      <td id=\"T_6f1f1_row2_col3\" class=\"data row2 col3\" >9.00</td>\n",
+       "      <td id=\"T_6f1f1_row2_col4\" class=\"data row2 col4\" >0.00</td>\n",
+       "      <td id=\"T_6f1f1_row2_col5\" class=\"data row2 col5\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row2_col6\" class=\"data row2 col6\" >1.10</td>\n",
+       "      <td id=\"T_6f1f1_row2_col7\" class=\"data row2 col7\" >7.00</td>\n",
+       "      <td id=\"T_6f1f1_row2_col8\" class=\"data row2 col8\" >0.00</td>\n",
+       "      <td id=\"T_6f1f1_row2_col9\" class=\"data row2 col9\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row2_col10\" class=\"data row2 col10\" >2.10</td>\n",
+       "      <td id=\"T_6f1f1_row2_col11\" class=\"data row2 col11\" >10.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_90e47_level0_row3\" class=\"row_heading level0 row3\" >FP</th>\n",
-       "      <td id=\"T_90e47_row3_col0\" class=\"data row3 col0\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row3_col1\" class=\"data row3 col1\" >2.00</td>\n",
-       "      <td id=\"T_90e47_row3_col2\" class=\"data row3 col2\" >0.73</td>\n",
-       "      <td id=\"T_90e47_row3_col3\" class=\"data row3 col3\" >10.00</td>\n",
-       "      <td id=\"T_90e47_row3_col4\" class=\"data row3 col4\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row3_col5\" class=\"data row3 col5\" >2.00</td>\n",
-       "      <td id=\"T_90e47_row3_col6\" class=\"data row3 col6\" >1.03</td>\n",
-       "      <td id=\"T_90e47_row3_col7\" class=\"data row3 col7\" >9.00</td>\n",
-       "      <td id=\"T_90e47_row3_col8\" class=\"data row3 col8\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row3_col9\" class=\"data row3 col9\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row3_col10\" class=\"data row3 col10\" >1.54</td>\n",
-       "      <td id=\"T_90e47_row3_col11\" class=\"data row3 col11\" >9.00</td>\n",
+       "      <th id=\"T_6f1f1_level0_row3\" class=\"row_heading level0 row3\" >FP</th>\n",
+       "      <td id=\"T_6f1f1_row3_col0\" class=\"data row3 col0\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row3_col1\" class=\"data row3 col1\" >2.00</td>\n",
+       "      <td id=\"T_6f1f1_row3_col2\" class=\"data row3 col2\" >0.78</td>\n",
+       "      <td id=\"T_6f1f1_row3_col3\" class=\"data row3 col3\" >10.00</td>\n",
+       "      <td id=\"T_6f1f1_row3_col4\" class=\"data row3 col4\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row3_col5\" class=\"data row3 col5\" >2.00</td>\n",
+       "      <td id=\"T_6f1f1_row3_col6\" class=\"data row3 col6\" >1.05</td>\n",
+       "      <td id=\"T_6f1f1_row3_col7\" class=\"data row3 col7\" >9.00</td>\n",
+       "      <td id=\"T_6f1f1_row3_col8\" class=\"data row3 col8\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row3_col9\" class=\"data row3 col9\" >2.00</td>\n",
+       "      <td id=\"T_6f1f1_row3_col10\" class=\"data row3 col10\" >1.49</td>\n",
+       "      <td id=\"T_6f1f1_row3_col11\" class=\"data row3 col11\" >9.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_90e47_level0_row4\" class=\"row_heading level0 row4\" >GA</th>\n",
-       "      <td id=\"T_90e47_row4_col0\" class=\"data row4 col0\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row4_col1\" class=\"data row4 col1\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row4_col2\" class=\"data row4 col2\" >1.41</td>\n",
-       "      <td id=\"T_90e47_row4_col3\" class=\"data row4 col3\" >9.00</td>\n",
-       "      <td id=\"T_90e47_row4_col4\" class=\"data row4 col4\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row4_col5\" class=\"data row4 col5\" >2.00</td>\n",
-       "      <td id=\"T_90e47_row4_col6\" class=\"data row4 col6\" >1.19</td>\n",
-       "      <td id=\"T_90e47_row4_col7\" class=\"data row4 col7\" >8.00</td>\n",
-       "      <td id=\"T_90e47_row4_col8\" class=\"data row4 col8\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row4_col9\" class=\"data row4 col9\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row4_col10\" class=\"data row4 col10\" >1.70</td>\n",
-       "      <td id=\"T_90e47_row4_col11\" class=\"data row4 col11\" >9.00</td>\n",
+       "      <th id=\"T_6f1f1_level0_row4\" class=\"row_heading level0 row4\" >GA</th>\n",
+       "      <td id=\"T_6f1f1_row4_col0\" class=\"data row4 col0\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row4_col1\" class=\"data row4 col1\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row4_col2\" class=\"data row4 col2\" >1.40</td>\n",
+       "      <td id=\"T_6f1f1_row4_col3\" class=\"data row4 col3\" >9.00</td>\n",
+       "      <td id=\"T_6f1f1_row4_col4\" class=\"data row4 col4\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row4_col5\" class=\"data row4 col5\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row4_col6\" class=\"data row4 col6\" >1.19</td>\n",
+       "      <td id=\"T_6f1f1_row4_col7\" class=\"data row4 col7\" >8.00</td>\n",
+       "      <td id=\"T_6f1f1_row4_col8\" class=\"data row4 col8\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row4_col9\" class=\"data row4 col9\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row4_col10\" class=\"data row4 col10\" >1.70</td>\n",
+       "      <td id=\"T_6f1f1_row4_col11\" class=\"data row4 col11\" >9.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_90e47_level0_row5\" class=\"row_heading level0 row5\" >SE</th>\n",
-       "      <td id=\"T_90e47_row5_col0\" class=\"data row5 col0\" >1.00</td>\n",
-       "      <td id=\"T_90e47_row5_col1\" class=\"data row5 col1\" >2.00</td>\n",
-       "      <td id=\"T_90e47_row5_col2\" class=\"data row5 col2\" >0.99</td>\n",
-       "      <td id=\"T_90e47_row5_col3\" class=\"data row5 col3\" >11.00</td>\n",
-       "      <td id=\"T_90e47_row5_col4\" class=\"data row5 col4\" >0.50</td>\n",
-       "      <td id=\"T_90e47_row5_col5\" class=\"data row5 col5\" >2.00</td>\n",
-       "      <td id=\"T_90e47_row5_col6\" class=\"data row5 col6\" >1.18</td>\n",
-       "      <td id=\"T_90e47_row5_col7\" class=\"data row5 col7\" >10.00</td>\n",
-       "      <td id=\"T_90e47_row5_col8\" class=\"data row5 col8\" >0.00</td>\n",
-       "      <td id=\"T_90e47_row5_col9\" class=\"data row5 col9\" >2.00</td>\n",
-       "      <td id=\"T_90e47_row5_col10\" class=\"data row5 col10\" >1.62</td>\n",
-       "      <td id=\"T_90e47_row5_col11\" class=\"data row5 col11\" >10.00</td>\n",
+       "      <th id=\"T_6f1f1_level0_row5\" class=\"row_heading level0 row5\" >SE</th>\n",
+       "      <td id=\"T_6f1f1_row5_col0\" class=\"data row5 col0\" >1.00</td>\n",
+       "      <td id=\"T_6f1f1_row5_col1\" class=\"data row5 col1\" >2.00</td>\n",
+       "      <td id=\"T_6f1f1_row5_col2\" class=\"data row5 col2\" >1.01</td>\n",
+       "      <td id=\"T_6f1f1_row5_col3\" class=\"data row5 col3\" >11.00</td>\n",
+       "      <td id=\"T_6f1f1_row5_col4\" class=\"data row5 col4\" >0.00</td>\n",
+       "      <td id=\"T_6f1f1_row5_col5\" class=\"data row5 col5\" >2.00</td>\n",
+       "      <td id=\"T_6f1f1_row5_col6\" class=\"data row5 col6\" >1.17</td>\n",
+       "      <td id=\"T_6f1f1_row5_col7\" class=\"data row5 col7\" >9.00</td>\n",
+       "      <td id=\"T_6f1f1_row5_col8\" class=\"data row5 col8\" >0.00</td>\n",
+       "      <td id=\"T_6f1f1_row5_col9\" class=\"data row5 col9\" >2.00</td>\n",
+       "      <td id=\"T_6f1f1_row5_col10\" class=\"data row5 col10\" >1.55</td>\n",
+       "      <td id=\"T_6f1f1_row5_col11\" class=\"data row5 col11\" >10.00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7f46a0b92760>"
+       "<pandas.io.formats.style.Styler at 0x7f05dc034d00>"
       ]
      },
      "metadata": {},
@@ -25834,7 +26261,7 @@
     },
     {
      "data": {
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       "text/plain": [
        "<Figure size 2500x600 with 4 Axes>"
       ]
@@ -25851,7 +26278,7 @@
     },
     {
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       "text/plain": [
        "<Figure size 2500x600 with 4 Axes>"
       ]
@@ -25868,7 +26295,7 @@
     },
     {
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",
       "text/plain": [
        "<Figure size 2500x600 with 4 Axes>"
       ]
@@ -25891,7 +26318,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 111,
    "id": "5942488c-8cdd-494f-8e26-6f970bd35f77",
    "metadata": {},
    "outputs": [],
@@ -25902,7 +26329,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 112,
    "id": "732e0164-a406-4119-b278-4f2775640bb2",
    "metadata": {},
    "outputs": [
@@ -25915,7 +26342,7 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 2500x600 with 4 Axes>"
       ]
@@ -25932,7 +26359,7 @@
     },
     {
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       "text/plain": [
        "<Figure size 2500x600 with 4 Axes>"
       ]
@@ -25949,7 +26376,7 @@
     },
     {
      "data": {
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       "text/plain": [
        "<Figure size 2500x600 with 4 Axes>"
       ]
@@ -25966,7 +26393,7 @@
     },
     {
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       "text/plain": [
        "<Figure size 2500x600 with 4 Axes>"
       ]
@@ -25983,7 +26410,7 @@
     },
     {
      "data": {
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       "text/plain": [
        "<Figure size 2500x600 with 4 Axes>"
       ]
@@ -26000,7 +26427,7 @@
     },
     {
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",
       "text/plain": [
        "<Figure size 2500x600 with 4 Axes>"
       ]
@@ -26017,7 +26444,24 @@
     },
     {
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+      "text/plain": [
+       "<Figure size 2500x600 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[47;1m retro filtered \u001b[0m\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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cIen62gSF8fT0VG5ubjHiAQCA0kYfDwCAY9qyZYvREQAAACBpzJgx2rRpk+35jh07tHLlSnXt2lWLFi0yMBkAwChFLrIDAAAAAICy07FjR6MjAAAAuLwbBXYPDw+NGDFCAwYM0Mcff6xly5Zp06ZNGjNmDIV2AHBBFNkBAAAAAAAAAAD+ID093VZgP3DggG22v+eff15///vf1axZM23atEnp6eny9vY2OC0AoCzdVpF9//79Cg4OzrfdZDIVuk+Szpw5U7x0AACgTNDHAwAAAABgvKNHj+qee+4xOgb+z9y5cyVJI0aMyLecnqenp4YPH64lS5Zo7ty5euWVV4yIaJj09HTFx8cbHcMmODiYGx0AlKnbKrJnZGToxIkTt71Puv4hPQAAcEz08QAAOL6RI0cWua27u7sqVaqku+66S+3atVPz5s1LMRkAALCXP/3pT2rZsqVCQ0M1ePBg+fn5GR3JpZ08eVKSNGDAgAL3DxgwQEuWLLG1cyXx8fHq16+f0TFsoqKi1LhxY6NjAHAhRS6yL1u2rDRzAAAAg9DHAwDgHCIjIyX97wY3q9War80f99143rx5cy1fvpyRcQAAODg/Pz/t3btX+/bt04QJE9S3b1+FhoaqR48e3ORugLp162rHjh36+OOP9fzzz+fb//HHH9vauZrg4GBFRUWV6BxxcXGaPHmy5s2bp5CQkBLnAYCyZLIW9Fd5OZeamipfX1+lpKSocuXKRscBALg4+iX74noCAByFvfuk5cuXKy4uTnPmzJGPj48eeeQR3XfffapUqZKuXLmin376SZ9++qmuXr2qKVOmqGbNmjp69KjWrVuns2fPqkaNGjp48KBq1aplh5+u7NHHAwAcRWn2SVlZWfrvf/+r5cuXKzo6WtnZ2TKZTKpZs6Yef/xxDR8+vFzeNOeo/Xx6erqaNm2ab012ScrMzFSzZs2UlZWlH374ganKi+HIkSPq168fo9DthOsJ2EdR+6Tbmi4eAAAAAAAYo0OHDpo4caK6dOmiVatWFTh97D//+U/97W9/06JFi7R3716NGTNGs2fPVr9+/fTNN99o3rx5mj9/ftmHh8typPVay8NarY50PSXnv6ZcTzgiDw8P9e/fX/3799fFixf14Ycfavny5Tp06JDmzp2refPmMZ18GfL29lbXrl21adMmNWvWTMOHD9eAAQP08ccfa/ny5crKylLXrl353QUAF8RIdge6Kw4A4Jrol+yL6wkAcBT27pMeffRRffrpp/rtt99u+oF6cnKy6tSpo759+2rlypWSpN9++01169ZV/fr1FRMTU+IsRqCPd043RlQ5gvIwqsuRrqfk/NeU64niMqJP+umnnxQZGakVK1bo/PnzMplM8vT0LDfTyTt6Pz9mzBht2rQp3/auXbtq0aJFBiQqHxh5bV9cT8A+7D6S/f333y9xqGHDhpX4HAAAwL7o4wEAcA6bNm1S48aNbzlizd/fX40bN9bmzZtt22rXrq1GjRopISGhlFMCeTnSeq3lYa1WR7qeN/I4M64nnMmf//xnvfnmm5o7d67eeOMNvfzyy8rMzNSaNWu0du1a1apVS6NHj9bYsWPl6+trdNxyZ9GiRUpPT9fcuXN18uRJ1a1bV1OmTGEEOwC4sCIX2UNDQ0t0J5zJZOIDeAAAHBB9PAAAziE1NVWXLl0qUttLly4pNTU1zzaz2ezUI9zgnLy9ve02kiokJMTlR2VxPe2L6wlnkpycrFWrVikyMlLff/+9rFarPDw81KtXL507d0579uzRq6++qnfeeUdfffWV/vSnPxkdudzx9vbWK6+8YnQMAICDKHKRPSgoqNA/xk+ePCmz2ayaNWvaLRgAACgb9PEAADiHBg0a6PDhw/r888/Vu3fvQtt9/vnnio+P13333Zdne3x8vKpXr17aMQEALsyR1rkvD2vc5+Tk6Msvv9Ty5cv1+eefKysrS1arVffee69GjBihYcOG2fr2n3/+WS+++KL++9//asKECfr6668NTg8AQPlW5CL7iRMnCt3n5uamli1batu2bfbIBAAAyhB9PAAAzuGZZ57RmDFjNGjQIM2YMUOhoaF5boQ7d+6cIiMjFRYWJpPJpGeeeca279ChQ0pJSVGXLl2MiA4AcBHx8fEOs869M69J/MMPP2j58uVauXKlLl68KKvVqsqVK2v48OEaOXKkWrdune+Ye++9V1FRUapXr5727NljQOry7+zZs+rfv79SUlLk6+urdevWMSgBAFxYkYvsAAAAAADAOE8//bT27dunZcuW6aWXXtJLL72kqlWrqlKlSkpLS9PFixclSVarVaNGjdLo0aNtx27dulUdO3ZkiZciYBQmABRfSde5Z417qWnTpvrpp59ktVplMpnUoUMHjRw5UgMGDLhln+Dm5qZ69erp119/LaO0rqNJkybKyMiwPb948aI6duwoLy8vHTp0yMBkAACjUGQHAAAAAMBJLF26VL169dKbb76pvXv36uLFi7biupubm1q3bq2JEyeqf//+eY4bN26cxo0bZ0Rkp8MoTAAoPnutc+/Ka9z/+OOPCgwM1LBhwzRy5EjVq1fvto6fNm2aRowYUUrpXNPvC+x16tTRpEmT9MYbb+jXX39VRkaGmjRpQqEdAFwQRXYAAAAAAJzIgAEDNGDAAKWlpen48eO6evWqfHx8VL9+fVWsWNHoeE6PUZgAACNt2LBB3bt3l8lkKtbxPXr0sHMi13b27FlbgX3Pnj3y8/OTJPXq1UuXL19W69atlZGRobNnzzJ1PAC4GIrsAAAAAAA4oYoVK6pp06ZGxyh3GIUJADBSq1atil1gh/3dmB2oTp06tgL7DX5+fgoICFBiYqL69++vHTt2GJAQQGFYBgqljSI7AAAAAABOKD09XXFxcbpy5YoqVaqkkJAQPrgBAMDJ1axZUz169NDQoUPVp08f3XHHHUZHcmkpKSmSpEmTJhW4f+LEiZo0aZKtHQDHwTJQKG0U2QEAAAAAcCJfffWVwsPDtXPnTuXk5Ni2u7u76y9/+YteeOEFde/e3cCEAACguKxWqz7//HN98cUXuuOOO9SnTx8NHjxYvXr1UoUKfJxf1nx9fXXx4kW98cYb6tWrV7798+fPt7UD4FhKugyUZL+loFgGqnwqcq+8bdu2m+5PSUm5ZZsOHToU9eUAAEAZoY8HAMB5vPrqqwoLC5PVapUkeXp6qnr16rpw4YIyMzO1detWffvtt3r55Zf16quvGhsWAADctnPnzmnt2rVatWqVvvvuO61atUofffSR/Pz8NGDAAA0ZMkSdOnUyOqbLWLdunTp27Khff/1Vly9fzjNl/OXLl5WYmGhrB8Cx2GsZKImloFCwIhfZO3XqVOhaMCaTSYcPH1bnzp0LPd5kMik7O/v2EwIAgFJFHw8AgHOIjo7WP/7xD7m7u2v06NEaN26cGjRoYNsfGxurhQsX6r333lNYWJjatGmjHj16GJgYAADcLn9/fz311FN66qmndObMGX300UdatWqV9u/fr4iICC1ZskS1atXS4MGDNXjwYLVo0cLoyOVazZo15eXlpYyMDLVu3VoBAQGaOHGi5s+fbyuwe3l5qWbNmgYnBQCUtduaX+bGnfLFUZJjAQBA6aKPBwDA8b311lsymUz6z3/+o8cffzzf/gYNGujtt9/WAw88oGHDhmnhwoUU2QEAtyUxMVHJycmGvX5cXFyer0by9/dXQECAoRlq1aqlCRMmaMKECYqPj9fKlSu1atUqHT16VP/85z/1z3/+U/Xr19exY8cMzVneHTp0SE2aNFFGRoYSExPzrM/u5eWlQ4cOGZgOAGCUIhfZc3NzSzMHAAAwCH08AADOYd++fapTp06BBfbfe+yxx/TSSy9p7969ZZQMAFAeJCYmqmfPXrJYMoyOosmTJxsdQWazl6KjNxheaL8hODhY06dP1/Tp0/Xjjz/qhRdeUHR0tI4fP250NJdw6NAhnT17Vv3791dKSop8fX21bt06RrADgAu7rZHsAAAAAADAGFeuXFG9evWK1PbOO+/UTz/9VMqJAADlSXJysiyWDJmb9ZVbxapGxzFUblqSLAfWKzk52WGK7JIUHx+vVatW2Uazo2zVrFlTO3bsMDoGAMBBUGQHAAAAAMAJBAQEKCYmRlevXpWPj0+h7a5evaqjR4+qVq1aZZgOAFBeuFWsKnc/+hBHcfbsWa1evVqrVq3Svn37JF1ftq1WrVr629/+pqFDhxqcEAAA10SRHQAAAAAAJ9CjRw+9++67evLJJxUZGSlPT898bTIzM/XEE0/o2rVr6tmzpwEpAQBASV2+fFkff/yxVq1apW3btik3N1dWq1V+fn7q16+fhg4dqs6dO8tkMhkdFQAAl0WRHQAAAAAAJ/Diiy9q9erVWr16tbZu3aonn3xS9957r2rUqKHz58/r559/VkREhM6dOydfX19NmzbN6MgAAOA29enTRxs3blRWVpasVqu8vb3Vu3dvDR06VL169SrwJjsAAFD2KLIDAACHMn36dL322muSpLCwME2fPt3gRAAAOIbAwEBt2LBBgwYN0unTpzVr1qx8baxWq4KCgrRmzRoFBgYakBIAAJTE559/rgoVKqh79+4aOnSo/vrXv6pixYpGxwIAAH9AkR0AADiMo0ePat68eUbHAADAYbVu3VoxMTFauXKlNm7cqF9++UVpaWmqWLGiGjZsqB49emjIkCFKSEjQjz/+qPvuu8/oyAAA4Db861//0t/+9jdVq1bN6CgAAOAmKLIDAACHYLVaNXr0aHl4eOgvf/mLNm/ebHQkAAAckre3t0aNGqVRo0YV2qZjx45KTk5WdnZ2GSYDAAAl9eyzzxodAQAAFAFFdgAA4BCWLl2q7777TnPmzNHPP/9sdBw4kZycHO3fv18XLlxQ9erV1aJFC7m7uxsdC7DhPQqjWK1WoyMAAAA4jPT0dMXHxxsdwyY4OFje3t5Gx4AdJSYmKjk52bDXj4uLy/PVSP7+/goICDA6BuyIf0Pzo8gOAAAMd+HCBU2dOlX33nuvJkyYoCeffNLoSHASGzdu1OzZs/Xbb7/ZttWuXVsvvPCCunfvbmAy4DreowAAACiOhIQErV69WocOHdKlS5eUlZVVYDuTyaRNmzaVcTrnFB8fr379+hkdwyYqKkqNGzc2OgbsJDExUT169VJmRobRUTR58mSjI8jTy0tfbdhAob0c4d/Q/CiyAwAAw02YMEGXLl1SVFSUPDw8jI4DJ7Fx40aNHTtWnTp10vz589WgQQPFxsbqnXfe0dixY/XWW29RxISheI8CAACgOObNm6eXXnpJ2dnZMplMkvLOUPP7bTe+x60FBwcrKiqqROeIi4vT5MmTNW/ePIWEhJQ4D8qP5ORkZWZk6Fr//sqtVs3oOIZyu3hRWrdOycnJFNnLEf4Nza9ERXZ3d3d16tSJO+UAAChnyrKP37Rpk1asWKHHHntMHTt2LPXXQ/mQk5Oj2bNnq1OnTlq0aJHc3NwkSU2bNtWiRYs0ZswYzZkzR127dmVabhiC9ygAAACK48svv9TUqVNVq1YthYWFacGCBTpy5Ii+/vprnT59WocOHdLSpUtt/7953333GR3ZaXh7e9tt1GNISIjhIyjhmHKrVVMuhWWUQ/wbml+JiuxWqzXfGm9jx47VkSNHKLwDAODEyqqPz8jI0NNPPy1fX1+98cYbxTqHxWKRxWKxPU9NTbVXvEKxBpHx9u/fr99++03z58+3FS9vcHNz0+jRozV48GDt379frVu3NiglXBnvUQAASp/Ra99KrH8L+/vXv/4lk8mkNWvWqF27dlq2bJkkqWvXrrY206dPV//+/fXyyy9r3759RkUFAMClFbnI/sQTT6ht27Zq06aN7rnnnkLbHTx4UDt37rRLOAAAUPqM7ONnzZql48eP6+2339add95ZrHOEh4dr5syZds11K6xBZLwLFy5Ikho0aFDg/hvbb7QDyhrvUbg6q9WqHTt2aP369fruu+8UExOja9euqVq1amrTpo2ee+45de7c2eiYAJxYYmKievXsqYzf3XBrJEdY/9bLbNaG6GgK7U7u+++/V61atdSuXbtC21StWlWrVq1S3bp1NXPmTH344YdlmBAAAEi3UWT/z3/+Y7trztfXVw888ICk6yO5srOzVaECy7sDAOCMjOrjjx49qnnz5qlZs2Z65plnin2eadOmaeLEibbnqampCgwMtEfEQrEGkfGqV68uSYqNjVXTpk3z7Y+Njc3TDihrvEdhD++//36xj7UYXHTavHmzHnzwQUnXZ2+oX7++fHx8FBsbq6ioKEVFRWn69OkKCwszNCcA55WcnKwMi0UvtHVXkC9rUp9KsWr2Tgvr35YDqampatKkie25l5eXbXvlypVt22vVqqU//elP2rJlS7FfKyEhQd9884327t2rvXv36siRI8rJyVFYWJimT59+02N37dql2bNna+fOnUpLS1O9evU0ZMgQTZ482ZYZAIDyrMifmsfFxWnnzp3auXOnduzYoY0bN8pkMmnv3r3y9fVVu3bt1LlzZyUlJZVmXgAAYGdG9fFjxoxRdna2Fi9enG8q5dthNptlNpvtmOzWWIPIeC1atFDt2rX1zjvv5FnvWpJyc3P17rvvqk6dOmrRooWBKeHKeI/CHkJDQ2UyFa9wZLVai32sPVitVtWvX18TJ07U4MGD5e/vL0nKzMzUq6++qvDwcM2aNUutW7dW7969DcsJwPkF+ZrUoErx/54oP3KNDgA7qVGjRp5l0GrUqCFJOnbsmFq2bJmnbVpaWon+Vl+4cKEWLlx428etWLFCw4cPV05OjmrXrq3AwEAdPnxYM2bM0GeffaatW7fqjjvuKHYuAACcQZGL7PXq1VO9evX06KOPSpKuXLkiX19fBQQEqH79+tq2bZu++eYbSZLJZFKnTp3Utm1btWvXTm3atFGVKlVK5ycAAAAlYlQff/DgQZlMJvXp0yffvpSUFEnSnDlz9PbbbyswMJB15pCHu7u7XnjhBY0dO1ZjxozR6NGj1aBBA8XGxurdd9/V1q1b9dZbb8nd3d3oqHBRvEdhD0FBQYYWykuiVatWOnr0aL4ZcTw9PfX666/rhx9+0IYNGxQREUGRHQCA3wkJCdGBAwdsz1u3bq1Vq1Zp8eLFeYrsmzZt0vHjx1WvXr1iv1a1atXUu3dvtWrVSi1bttSSJUu0bt26mx5z4sQJjRo1Sjk5OZo7d64mTZokk8mkkydPqkePHtq3b5+mTJmit99+u9i5AABwBsWe/7VSpUqSpIYNG2rz5s3KyMjQ9u3b9fTTTyshIUG7d+/Wtm3bbB8I3H333fr555/tkxoAAJSasuzjc3JydO7cuUL3p6WlKS0tjanmUKDu3bvrrbfe0uzZszV48GDb9jp16uitt95S9+7dDUwH8B5FyZ04ccLoCMX2++lsC9KtWzdt2LBBv/zySxklAgDAOfTs2VPbtm3Tvn371LJlSw0dOlSvvPKKli9frl9++UVt2rTRuXPntGbNGplMJj3++OPFfq0/Tgn/0Ucf3fKYefPmyWKxqHv37po8ebJte926dfWf//xH7dq103vvvaeXX35Zd955Z7GzAQDg6IpcZB8wYIDatm2rNm3aqHnz5vL09Myz38vLSw8++KBq1aqlhIQEpaam6vvvv9fu3bu1c+dO7d692+7hAQBAyRnVx1++fLnQfaGhoVq+fHmR1oGDa+vevbu6du2q/fv368KFC6pevbpatGjB6GA4DN6jQMEyMjIkXV+CBY4tMTFRycnJhmaIi4vL89Uo/v7+rHUNoNQNGjRIx48f16VLlyRdH22+evVqDR482LbU2w0DBgwo07+ZrVarPvnkE0nSqFGj8u1v27atGjVqpJiYGK1fv15PPfVUmWUDAKCsFbnIHhUVZetAPT09df/990uSUlNTdfnyZfn5+eVp7+npqTZt2qhNmzaaMGGC/RIDAAC7oo+Hs3N3d1fr1q2NjgEUivcokJfVatXatWslSe3atTM4DW4mMTFRPXv2lMViMTqKJOUZMWkEs9ms6OjoEhXauWkhL25cAPKrV6+eIiIi8mzr3r27EhIStGHDBp04cULe3t5q3769mjVrVqbZTp06pTNnzkgqvA9v166dYmJitGfPHorscE3p6TJdvWp0CmOlpxudACgTRS6yX7hwQbt27bI99u3bJ5PJpIMHD6patWpq2rSpunTpctMpXwEAgOOhjwcAAGUpIiJCBw8elKenp8aPH19oO4vFkqe4m5qaWgbp8HvJycmyWCzyeMBDbpXdjI5jqNzUXFl2W5ScnFzsonBiYqJ69OqlzP+bycFoRt+0IEmeXl76asMGCu1AEfj6+uZZgsgIsbGxkq7fdFTY721wcHCetoCrqfj++0ZHAFBGilxkr1q1qnr37q3evXtLur6GqoeHh4KCgtSkSRN9++23OnDggCTJZDKpefPmtlFubdq0sXWuAADAsdDHAwCAsnLgwAGNGzdOkjRr1iyFhIQU2jY8PFwzZ84sq2i4CbfKbnKr4tpFdntITk5WZkaGrvXvr9xq1YyOYzi3ixeldetKdOMCgLJ1YyYOPz8/mUymAtv4+/vnaVuY4txMx2wgeZV0NhCuZ17MruJ4eI/+jz3en1zP/7HX73uRi+x/dGMNweDgYK1fv165ubnat2+fhg0bpuPHj+vUqVM6ePCgFi9eLEmqXr26zp49W+LAAACgdDlCHx8ZGanIyEi7nhMAABgrISFBvXv3VkZGhoYOHapJkybdtP20adM0ceJE2/PU1FQFBgaWdkyg1OVWq6ZcPsQHcAs//fST3nrrLX377bf67bffZLFYlJ2dbdv/7rvv6uTJk3rhhRdUuXLlMsmU8X8zcXh6ehbaxmw2S5LSbzFd9O3eTJeYmKiePXrKkskSJjeYPc2K/qp4y5iwJEx+9lgWBvaTmJioXj17KoP3qCTJy2zWhhK8P6//zveSxcKMSpJkNnspOrrksykVu8j+R25ubmrdurVq1Kih48eP68KFCzp27Jh2796tHTt2aPfu3fZ6KQAAUIbo4wEAQEmdPXtW3bp105kzZ/Twww8rMjKy0BFwN5jNZtsH9QCAsmPNTJfV4trrCVszjV1P+N///rcmTJiQp6j+x37TYrFozpw5aty4sR599NEyyeXl5SVJyszMLLTNjaKtt7f3Tc91uzfTJScny5JpUZOUJqqYU/F2YpdLae5pOuR7qNizgbAkTF72WBYG9pWcnKwMi0UvtHVXkO/N/24o706lWDV7Z8nen9d/5zNkbtZXbhWr2jmhc8lNS5LlwHq7/L7brchekLvvvlt33323hg8fXuxzWK1W7dixQ+vXr9d3332nmJgYXbt2TdWqVVObNm303HPPqXPnznZMDQAAbsUefTwAAHANly5dUrdu3RQXF6eOHTtq7dq18vDwMDoWAKAQGbtXGR3BpW3ZskVjx45VpUqV9Nprr6lPnz4aMmSIdu3alafdoEGDNH78eH3yySdlVmS/MRX85cuXZbVaC7xh7sZUxDfaFqa4N9NVzKko32zf2z4OBWNJGPtLGzZM1po1jY5hKNPZs3Zbmz7I16QGLv8ezbXbmdwqVpW7Xy27nc/VlajInpub/z+s1WotySnz2bx5sx588EFJ10fS1a9fXz4+PoqNjVVUVJSioqI0ffp0hYWF2fV1AQBwZWXRxwMAgPIvLS1NDz30kA4fPqyWLVvqs88+u+XINgAAXNmbb74pSVqxYoUefvhhSflHsUtSzZo1FRgYqJ9//rnMsjVo0EDS9dHqiYmJql27dr428fHxedoCLsfbW1YfH6NTGMrE/+/DRdj99o+3335bmzdvttv5rFar6tevr0WLFunixYs6duyYDhw4oKSkJE2bNk2SNGvWLH3++ed2e00AAJCfvft4AABQvlksFvXt21d79uxR48aNFR0drUqVKhkdCwAAh7Z7927VrFnTVmC/mVq1aum3334rg1TXBQUFqeb/jdDdsWNHgW1ubG/dunW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",
       "text/plain": [
        "<Figure size 2500x600 with 4 Axes>"
       ]
@@ -26050,13 +26494,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 113,
    "id": "7aa5d0a7-3032-4901-b4ba-a707fd18a967",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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UaFKbN2+W1WqV9MPjTjMzM+33rflxCAw4wpIlS7RkyRLl5uYqIyNDgwcPVs+ePWWz2diaiiZTW1ur2bNna8CAAdcdP3PmjJYtW9bMVcGVffXVV43C3p49eyonJ0dRUVGaMmWKUlNTDawOTYWbqsIlnDlz5obXlJWV6d577236YmAqbm5uio2NlZeXl/1cdna2oqKi1KpVK/u5rKwsI8qDC+revftNfUL1xRdfNEM1MKPKykr97W9/U0ZGhj7++GMNGjRIv/3tb5WQkGB0aXAhQ4YM0cSJEzVv3rzrjh89elShoaF82AWHCQwMVHp6ukaNGtXofHFxsSIjI3X33Xfr4MGD9JyLIRCBS6uoqNDOnTu1ZcsW5efn8wYGh5s2bdpN/XL60xtzAYArOH78uLZs2aKdO3fq4sWLRpcDF/LnP/9ZdXV1SkpKuu54UVGREhMT+fkKh5kxY4ZsNpu2bNlyzdhXX32lkSNH6vPPP+f3CRdDIAKXdPDgQWVkZCgrK0vdunXThAkTNGHCBN13331GlwYX8/nnn6t79+5yc+OhXWge//rXv1RaWqrY2Fj7ue3btyspKUnV1dWKi4vTX/7yl0arloDbUVNTo3feece+DXXx4sWqra21j7u7uysxMVGtW7c2qkQAuG1nzpzRyZMnNXr06OuOl5SU6K233tLUqVObuTI0JQIRuIxz584pMzNTGRkZqq6u1sSJE7Vp0yYdPXpU/fr1M7o8uCh3d3eVlJTYn3L08MMPa926dfLz8zO4MriqmJgYRUZGauHChZJ+eOx4aGiopk2bpqCgIK1atUozZ85UcnKysYXCZaSlpWnfvn3Kzs6WJLVu3VrBwcHy8fGRJJ06dUrz589XfHy8kWXCRV26dEkdO3aU9MOqkPT0dNXU1Gj8+PGNbmoOOAo9Zy4EInAJY8aMUV5ensaNG6dHH31UMTExcnd3V4sWLQhE0KTc3Nx0/vx5eyDSunVrHT16VIGBgQZXBlf1i1/8QtnZ2QoLC5MkLV26VLm5ucrLy5Mkvf7660pKSlJhYaGRZcKFDB8+XPHx8XrooYckXfs+98orr+jll1/WBx98YGSZcDEFBQX6zW9+o6KiIv3yl7/Url27FBMTo+rqarm5uam6ulpvvPGG4uLijC4VLoKeMyfWeMMlvPXWW5oxY4aWLVumsWPHyt3d3eiSAKBJlJWVNVqBlJubq5iYGPvx/fffr6KiIiNKg4s6ffq0evfubT/29vZutE0wPDycAA4Ot2DBAg0YMEC5ubkaOXKkxo0bpzFjxqiiokJlZWWaOXOmUlJSjC4TLoSeMycCEbiE9957T1VVVQoLC9OgQYO0fv16ff3110aXBROwWCzX3FSVZ9SjKfn5+dmfIPP999/r3//+tyIiIuzjVVVVatGihVHlwQVVVFTIw8PDfvz111+re/fu9uOGhoZG9xQBHOHDDz/UihUrNHToUK1evVrFxcWaM2eO3Nzc5ObmpieffFInT540uky4EHrOnDxufAng/CIiIhQREaG1a9dq165dysjIUEJCghoaGnTgwAEFBARwszc0CZvNpmnTptlvYHn58mXNmjWr0SN3JR67C8eJiYnRokWL9Pzzz2vPnj1q2bJloz3Nx44dU8+ePQ2sEK7G399fx48fV58+fa47fuzYMfn7+zdzVXB1paWl6ty5syTJarWqVatW6tChg328ffv2qqqqMqo8uCB6zpxYIQKX0rJlSz3++OPKy8tTQUGBnn76aaWkpMjX11fjx483ujy4oKlTp8rX11dt27ZV27Zt9dhjj6lLly7246t/AEd57rnn5O7urhEjRig9PV3p6eny9PS0j2dkZOjXv/61gRXC1YwZM0aJiYm6fPnyNWM1NTX27aqAo7ECE82NnjMfbqoKl1dfX6/s7GxlZGRo7969RpcDAA5RUVEhq9V6zT2TSktLZbVaG4UkwO24cOGC7r33Xnl6emru3Lnq3bu3LBaLTp48qfXr1+vKlSv65JNPeLoWHMrNzU2xsbH2FZjZ2dmKioqyr8Csra3V3//+d9XX1xtZJlwIPWdOBCIAAAD4WV988YVmz56tAwcO6Op/HS0Wi6Kjo7VhwwaerAWHmz59+k1dt3Xr1iauBGZBz5kTgQgAAABuSmlpqT777DNJUq9evRrtrwcA4E5DIAIAAAAAAEyHm6oCAAAAAADTIRABAAAAAACmQyACAAAAAABMh0AEAAAAAACYDoEIAAC44+Tk5Mhisai8vNzQOjIzM9WuXTtDawAAAP8bAhEAANDsLl68qJkzZ+ruu++Wl5eXOnfurNGjR+uDDz4wurRm5SzBDgAAZuRhdAEAAMB8JkyYoLq6Om3btk2BgYG6cOGC3nnnHZWWlhpdGgAAMAlWiAAAgGZVXl6uvLw8Pf/884qMjFS3bt0UHh6uxYsXa+zYsfryyy9lsViUn5/f6DUWi0U5OTmN5nr//fd1zz33yNvbW4MGDVJBQYF97Op2lj179qh3797y9vZWdHS0ioqKGs2xceNG9ezZU56enurTp4927NhxTb1/+MMf5OfnJ29vb/Xv31/79u277td26dIlhYeHa/z48bp8+bJsNptSU1MVGBgoHx8f3XPPPXrjjTckSV9++aUiIyMlSe3bt5fFYtG0adP+x+8qAAC4VQQiAACgWVmtVlmtVu3Zs0e1tbW3Ndf8+fO1evVqffjhh/L19dX48eNVV1dnH//uu++0YsUKbdu2Te+//74qKys1adIk+/ibb76pefPm6emnn9bx48c1c+ZMTZ8+Xf/85z8lSQ0NDYqNjdWhQ4f0yiuvqLCwUCkpKXJ3d7+mlnPnzmnYsGHq27evsrKy5O3trWeffVZbt27Vxo0b9emnnyo+Pl6PPfaYcnNzFRAQoN27d0uSTp06pZKSEq1du/a2vh8AAODmsWUGAAA0Kw8PD2VmZuqJJ57Qpk2bFBoaqhEjRmjSpEkKCQm5pbmSkpIUHR0tSdq2bZv8/f315ptvauLEiZKkuro6rV+/XoMGDbJfExQUpCNHjig8PFyrV6/WtGnTNGfOHElSQkKCDh8+rNWrVysyMlJvv/22jhw5ohMnTqh3796SpMDAwGvqOH36tKKjo/Xggw9q7dq1slgsqq6u1po1a3Tw4EFFRETYX5uXl6e0tDSNGDFCHTp0kCT5+vpyc1YAAJoZK0QAAECzmzBhgoqLi7V3716NHj1aOTk5Cg0NVWZm5i3NczVokKQOHTqoT58+OnHihP2ch4eHwsLC7Md9+/ZVu3bt7NecOHFCQ4YMaTTnkCFD7OP5+fny9/e3hyHXU1NTo6FDhyouLk7r1q2TxWKRJBUWFury5cuKjo62r4qxWq3avn27/vOf/9zS1wkAAByPFSIAAMAQV+/pER0drcTERM2YMUNJSUl67733JEk2m81+7Y+3wdzI1UDivx3/9NxPx202m/2cj4/PDf89Ly8vPfDAA9q/f7/mz58vf39/ST9st5Gk/fv3q2vXrte8BgAAGIsVIgAAwCn069dP1dXVuuuuuyRJJSUl9rEf32D1xw4fPmz/e1lZmU6fPq2+ffvaz125ckUfffSR/fjUqVMqLy+3XxMUFKS8vLxGcx46dEhBQUGSpJCQEJ07d06nT5/+r3W7ublpx44dGjhwoKKiolRcXGz/ery8vHT27Fn16tWr0Z+AgABJkqenpySpvr7+5785AADA4VghAgAAmtWlS5f0u9/9To8//rhCQkLUunVrffTRR0pNTdWDDz4oHx8fDR48WCkpKerevbu++eYbPfvss9eda/ny5erYsaP8/Py0dOlSderUSXFxcfbxFi1a6Mknn9S6devUokULzZ07V4MHD1Z4eLikH27KOnHiRIWGhmrUqFHKzs5WVlaW3n77bUnSiBEjNHz4cE2YMEFr1qxRr169dPLkSVksFsXExNj/HXd3d+3cuVOTJ09WVFSUcnJy1LlzZz3zzDOKj49XQ0ODhg4dqsrKSh06dEhWq1VTp05Vt27dZLFYtG/fPo0ZM0Y+Pj6yWq1N980HAAB2rBABAADNymq1atCgQXrxxRc1fPhw9e/fX3/84x/1xBNPaP369ZKkjIwM1dXVKSwsTPPmzdNzzz133blSUlI0b948DRw4UCUlJdq7d6991YUktWzZUgsXLtQjjzyiiIgI+fj4aNeuXfbxuLg4rV27VqtWrVJwcLDS0tK0detWjRw50n7N7t27df/992vy5Mnq16+fFixYcN0VHR4eHnr11VcVHBysqKgoXbx4UX/605+UmJiolStXKigoSKNHj1Z2drZ69OghSeratauWLVumRYsWyc/PT3PnznXEtxgAANwEi+3HG3QBAABcRGZmpp566imVl5cbXQoAAHBCrBABAAAAAACmQyACAAAAAABMhy0zAAAAAADAdFghAgAAAAAATIdABAAAAAAAmA6BCAAAAAAAMB0CEQAAAAAAYDoEIgAAAAAAwHQIRAAAAAAAgOkQiAAAAAAAANMhEAEAAAAAAKbz/2S+Oxs0qZExAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1300x700 with 1 Axes>"
       ]
@@ -26071,7 +26515,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 114,
    "id": "5a1e8d9c-baad-4916-bc72-0bfbeb5629dd",
    "metadata": {},
    "outputs": [
@@ -26103,78 +26547,86 @@
        "      <th>bool_qed</th>\n",
        "      <th>bool_bb</th>\n",
        "      <th>bool_syba</th>\n",
+       "      <th>bool_retro</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>990</td>\n",
-       "      <td>781</td>\n",
-       "      <td>422</td>\n",
-       "      <td>379</td>\n",
-       "      <td>236</td>\n",
-       "      <td>233</td>\n",
+       "      <td>1201.0</td>\n",
+       "      <td>1188.0</td>\n",
+       "      <td>942.0</td>\n",
+       "      <td>496.0</td>\n",
+       "      <td>451.0</td>\n",
+       "      <td>251.0</td>\n",
+       "      <td>248.0</td>\n",
+       "      <td>145.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>845</td>\n",
-       "      <td>702</td>\n",
-       "      <td>550</td>\n",
-       "      <td>356</td>\n",
-       "      <td>190</td>\n",
-       "      <td>174</td>\n",
+       "      <td>1100.0</td>\n",
+       "      <td>1078.0</td>\n",
+       "      <td>895.0</td>\n",
+       "      <td>706.0</td>\n",
+       "      <td>470.0</td>\n",
+       "      <td>224.0</td>\n",
+       "      <td>206.0</td>\n",
+       "      <td>139.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>598</td>\n",
-       "      <td>494</td>\n",
-       "      <td>413</td>\n",
-       "      <td>307</td>\n",
-       "      <td>169</td>\n",
-       "      <td>165</td>\n",
+       "      <td>743.0</td>\n",
+       "      <td>735.0</td>\n",
+       "      <td>608.0</td>\n",
+       "      <td>512.0</td>\n",
+       "      <td>384.0</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>179.0</td>\n",
+       "      <td>138.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>300</td>\n",
-       "      <td>195</td>\n",
-       "      <td>179</td>\n",
-       "      <td>116</td>\n",
-       "      <td>104</td>\n",
-       "      <td>100</td>\n",
+       "      <td>355.0</td>\n",
+       "      <td>347.0</td>\n",
+       "      <td>235.0</td>\n",
+       "      <td>209.0</td>\n",
+       "      <td>138.0</td>\n",
+       "      <td>118.0</td>\n",
+       "      <td>114.0</td>\n",
+       "      <td>92.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>42</td>\n",
-       "      <td>26</td>\n",
-       "      <td>23</td>\n",
-       "      <td>10</td>\n",
-       "      <td>9</td>\n",
-       "      <td>9</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>9.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>42</td>\n",
-       "      <td>36</td>\n",
-       "      <td>35</td>\n",
-       "      <td>19</td>\n",
-       "      <td>18</td>\n",
-       "      <td>18</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>53.0</td>\n",
+       "      <td>49.0</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Total</th>\n",
-       "      <td>2859</td>\n",
-       "      <td>2817</td>\n",
-       "      <td>2234</td>\n",
-       "      <td>1622</td>\n",
-       "      <td>1187</td>\n",
-       "      <td>726</td>\n",
-       "      <td>699</td>\n",
+       "      <td>3505.0</td>\n",
+       "      <td>3454.0</td>\n",
+       "      <td>2767.0</td>\n",
+       "      <td>2003.0</td>\n",
+       "      <td>1482.0</td>\n",
+       "      <td>808.0</td>\n",
+       "      <td>778.0</td>\n",
+       "      <td>523.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -26182,25 +26634,25 @@
       ],
       "text/plain": [
        "       pre-filtered  bool_pains  bool_brenk  bool_ro3  bool_qed  bool_bb  \\\n",
-       "AP             1001         990         781       422       379      236   \n",
-       "FP              862         845         702       550       356      190   \n",
-       "SE              606         598         494       413       307      169   \n",
-       "GA              306         300         195       179       116      104   \n",
-       "B1               42          42          26        23        10        9   \n",
-       "B2               42          42          36        35        19       18   \n",
-       "Total          2859        2817        2234      1622      1187      726   \n",
+       "AP           1201.0      1188.0       942.0     496.0     451.0    251.0   \n",
+       "FP           1100.0      1078.0       895.0     706.0     470.0    224.0   \n",
+       "SE            743.0       735.0       608.0     512.0     384.0    184.0   \n",
+       "GA            355.0       347.0       235.0     209.0     138.0    118.0   \n",
+       "B1             47.0        47.0        34.0      31.0      13.0     13.0   \n",
+       "B2             59.0        59.0        53.0      49.0      26.0     18.0   \n",
+       "Total        3505.0      3454.0      2767.0    2003.0    1482.0    808.0   \n",
        "\n",
-       "       bool_syba  \n",
-       "AP           233  \n",
-       "FP           174  \n",
-       "SE           165  \n",
-       "GA           100  \n",
-       "B1             9  \n",
-       "B2            18  \n",
-       "Total        699  "
+       "       bool_syba  bool_retro  \n",
+       "AP         248.0       145.0  \n",
+       "FP         206.0       139.0  \n",
+       "SE         179.0       138.0  \n",
+       "GA         114.0        92.0  \n",
+       "B1          13.0         9.0  \n",
+       "B2          18.0         NaN  \n",
+       "Total      778.0       523.0  "
       ]
      },
-     "execution_count": 58,
+     "execution_count": 114,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/notebooks/custom_kinfraglib/2_3_custom_filters_paper.ipynb b/notebooks/custom_kinfraglib/2_3_custom_filters_paper.ipynb
index f48b411a..694f7a76 100644
--- a/notebooks/custom_kinfraglib/2_3_custom_filters_paper.ipynb
+++ b/notebooks/custom_kinfraglib/2_3_custom_filters_paper.ipynb
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -74,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -101,7 +101,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -112,7 +112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -122,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -131,7 +131,7 @@
        "dict_keys(['AP', 'FP', 'SE', 'GA', 'B1', 'B2'])"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -142,7 +142,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -159,7 +159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -221,7 +221,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x800 with 1 Axes>"
       ]
@@ -250,7 +250,7 @@
    "outputs": [],
    "source": [
     "PATH_DATA_CUSTOM = PATH_DATA / \"fragment_library_custom_filtered\"\n",
-    "filter_results = pd.read_csv(PATH_DATA_CUSTOM / \"custom_filter_results.csv\")"
+    "filter_results = pd.read_csv(PATH_DATA_CUSTOM / \"custom_filter_results.csv\", na_values = [\"\"])"
    ]
   },
   {
@@ -309,7 +309,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1300x700 with 1 Axes>"
       ]
@@ -384,7 +384,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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j46OaNWtKktq3b68TJ04oICBAtWvXzvB60B/o7kxdWbZsmVX7nj17dPToUavvyp7u/DD/7+98wYIFVtsVKlRQUFCQPvnkE6v206dP2/z7adWqlZydnXXixIlMP/PatWtn+5xZHfVQsmRJ9e/fXy1atLBMm8qu9u3by2w2648//si09qpVqz7QeTOT2d/XDRs26I8//rDZezyMunXrys3NTatWrbJq//777+0yCgoAYBuMEAEA5Dkvv/yy5s6dq27duunkyZOqWrWqduzYoejoaLVt21bNmze39K1ataq2bdumdevWqVixYvLx8VGFChXUvn17vfXWW4qMjFTjxo117NgxTZgwQWFhYbp165Zd63/ppZe0YMECvfjii+rdu7cuXLigadOmWZ6AY2vBwcHq0KGDoqKiVKxYMS1btkybN2/W1KlT5enpKUmKiIjQZ599pkaNGmnw4MGqVq2a0tPTdfr0aW3atElDhw5V3bp1s/3eFSpUUJ8+fTR79mwVKFBAbdq0sTxlJiQkRIMHD7b15Waqfv36KlSokF599VVFRkbKxcVFy5cvzxAUFShQQOPHj1ffvn31zDPP6JVXXtGlS5c0fvx4FStWLMM0locRGhqqCRMmaPTo0fr999/VunVrFSpUSH/++ad2794tLy8vjR8/Plvn9PHxUalSpfT555+rWbNm8vf3V+HChVWoUCE1adJEXbt2VcWKFeXj46M9e/Zo48aN6tSp0wPV36BBA/Xp00c9evTQ3r171ahRI3l5eSk+Pl47duxQ1apV9dprrz3Quf+tffv2io2NVcWKFVWtWjXt27dP06dPv+uTiHKav7+/hgwZosmTJ6tQoUJ6+umndfbsWbvcNwAA2yEQAQDkOe7u7tq6datGjx6t6dOn6/z58ypevLiGDRumyMhIq77vvfeeXn/9dT333HOWR8tu27ZNo0eP1rVr17Ro0SJNmzZNlStX1vvvv681a9ZkWAzS1ho0aKAlS5ZoypQpeuqpp1S6dGlFRkbqyy+/tMt7V69eXT169FBkZKR+++03BQcHa8aMGVZhhJeXl7777jtNmTJFH3zwgeLi4uTh4aGSJUuqefPmDzXkf/78+SpTpowWLVqkuXPnys/PT61bt9bkyZMzrM1gLwEBAdqwYYOGDh2qF198UV5eXnrqqae0atUqyyiZO/r06SOTyaRp06bp6aefVmhoqEaOHKnPP/88w4K1D2vUqFGqXLmy3nvvPX388cdKTU1VUFCQHnvsMb366qsPdM5FixbpjTfeUIcOHZSamqpu3bppwYIFqlu3rj766COdPHlSaWlpKlmypEaMGKHhw4c/cP0LFizQ448/rgULFmjevHlKT09XcHCwGjRooDp16jzwef/tvffek4uLiyZPnqwrV66oZs2aWr16tcaMGWOz93hYkyZNkpeXl95//33L46Dnz5+v0aNH54ppPQCAjExms9ns6CIAAABys0uXLql8+fLq2LGjPvjgA0eXgzwiLi5OFStWVGRkpN58801HlwMA+BcCEQAAgH9ISEjQpEmT1KRJEwUEBOjUqVN699139csvv2jv3r165JFHHF0icqGffvpJH3/8serXry9fX18dO3ZM06ZNU0pKig4fPszTZgAgF2LKDAAAwD+4ubnp5MmT6tevny5evChPT089/vjjev/99wlDcFdeXl7au3evFi1apEuXLsnPz0/h4eGaNGkSYQgA5FKMEAEAAAAAAIbDktcAAAAAAMBwCEQAAAAAAIDhsIZIFqWnp+vcuXPy8fGRyWRydDkAAAAAAOBfzGazLl++rODgYBUocO8xIAQiWXTu3DmFhIQ4ugwAAAAAAHAfZ86cUYkSJe7Zh0Aki3x8fCT9/aH6+vo6uBoAAAAAAPBvKSkpCgkJsfwMfy8EIll0Z5qMr68vgQgAAAAAALlYVpa6YFFVAAAAAABgOAQiAAAAAADAcAhEAAAAAACA4bCGCAAAAAAgx6Wnp+vmzZuOLgN5kKur630fqZsVBCIAAAAAgBx18+ZNxcXFKT093dGlIA8qUKCAwsLC5Orq+lDnIRABAAAAAOQYs9ms+Ph4OTk5KSQkxCa/6YdxpKen69y5c4qPj1fJkiWz9DSZuyEQAQAAAADkmFu3bunatWsKDg6Wp6eno8tBHlSkSBGdO3dOt27dkouLywOfhygOAAAAAJBjbt++LUkPPd0BxnXn3rlzLz0oAhEAAAAAQI57mKkOMDZb3TsEIgAAAAAAwHAIRAAAAAAAgOGwqCoAAAAAwOFCR27I0fc7OaVdjr5fdkVFRWn+/PlKTEzUmjVrtHbtWl26dElr166VJIWHh6t69eqaOXOmQ+v8p9DQUEVERCgiIsLRpWQJI0QAAAAAAMiC7t27y2QyyWQyycXFRaVLl9awYcN09epVm77P0aNHNX78eC1YsEDx8fFq06aN3nvvPcXGxt71mNDQ0FwVjuQFjBABAAAAACCLWrdurZiYGKWlpem7775Tr169dPXqVc2fP9+qX1pa2gM/EvbEiROSpKeeesqygKibm9vDFZ5FN2/eNMwTgBghAgAAAABAFrm5uSkoKEghISHq2rWrXnjhBa1du1ZRUVGqXr26Fi9erNKlS8vNzU1ms1nJycnq06ePihYtKl9fXzVt2lQ//fTTXc8fFRWlJ598UpJUoEABSyDSvXt3dezYMdNjwsPDderUKQ0ePNgyguWOnTt3qlGjRvLw8FBISIgGDhxoNaIlNDRUEydOVPfu3eXn56fevXtn6bjExEQ9+eST8vDwUFhYmJYvX/7An6mjEIgAAAAAAPCAPDw8lJaWJkk6fvy4PvnkE3322Wc6cOCAJKldu3ZKSEjQl19+qX379qlmzZpq1qyZLl68mOn5hg0bppiYGElSfHy84uPj71vD6tWrVaJECU2YMMHqmEOHDqlVq1bq1KmTDh48qFWrVmnHjh3q37+/1fHTp09XlSpVtG/fPo0dOzZLx3Xv3l0nT57UN998o08//VTz5s1TYmJitj8/R2LKDAAAAAAAD2D37t1asWKFmjVrJunv6SYfffSRihQpIkn65ptvdOjQISUmJlqmvLz99ttau3atPv30U/Xp0yfDOb29vVWwYEFJUlBQUJbq8Pf3l5OTk3x8fKyOmT59urp27WpZ5LRcuXKaNWuWGjdurPnz58vd3V2S1LRpUw0bNsxy3Msvv3zP406fPq3//ve/+v7771W3bl1J0qJFi1SpUqUsfnK5AyNEAAAAAADIovXr18vb21vu7u6qV6+eGjVqpNmzZ0uSSpUqZQlDJGnfvn26cuWKAgIC5O3tbXnFxcXpxIkTOn36tFV7dHS0TWvdt2+fYmNjrd6jVatWSk9PV1xcnKVf7dq1s3Xc0aNH5ezsbHVcxYoVLUFOXsEIEQAAAAAAsqhJkyaaP3++XFxcFBwcbLVwqpeXl1Xf9PR0FStWTNu2bctwnoIFC6pgwYKWqTXS3yM9bCk9PV19+/bVwIEDM+wrWbKk5c+Z1X2v444dOyZJVmuV5EUEIgAAAAAAZJGXl5fKli2bpb41a9ZUQkKCnJ2dFRoammmfrJ7rflxdXXX79u0M73/kyJFsv8f9jqtUqZJu3bqlvXv3qk6dOpKkY8eO6dKlSw9Uu6M4dMrMt99+qyeffFLBwcEymUxau3atZV9aWppGjBihqlWrysvLS8HBwXr55Zd17tw5q3OkpqZqwIABKly4sLy8vNShQwedPXvWqk9SUpJeeukl+fn5yc/PTy+99FKe+6IAAAAAAHlL8+bNVa9ePXXs2FFfffWVTp48qZ07d2rMmDHau3evTd8rNDRU3377rf744w/99ddfkqQRI0Zo165dev3113XgwAH99ttv+uKLLzRgwIB7nut+x1WoUEGtW7dW79699cMPP2jfvn3q1auXPDw8bHpN9ubQESJXr17Vo48+qh49eqhz585W+65du6b9+/dr7NixevTRR5WUlKSIiAh16NDB6saJiIjQunXrtHLlSgUEBGjo0KFq37699u3bJycnJ0lS165ddfbsWW3cuFGS1KdPH7300ktat25dzl0sAAAAAOCuTk5p5+gSbM5kMunLL7/U6NGj9corr+j8+fMKCgpSo0aNFBgYaNP3mjBhgvr27asyZcooNTVVZrNZ1apV0/bt2zV69Gg1bNhQZrNZZcqU0bPPPnvPc2XluJiYGPXq1UuNGzdWYGCgJk6cqLFjx9r0muzNZDabzY4uQvr7RlmzZs1dn6ssSXv27FGdOnV06tQplSxZUsnJySpSpIg++ugjyxdz7tw5hYSE6Msvv1SrVq109OhRVa5c2Wr12++//1716tXTL7/8ogoVKmSpvpSUFPn5+Sk5OVm+vr4Pfb0AAAAAYEQ3btxQXFycwsLCLE85AbLjXvdQdn52z1NriCQnJ8tkMllWrt23b5/S0tLUsmVLS5/g4GBVqVJFO3fuVKtWrbRr1y75+flZwhBJevzxx+Xn56edO3feNRBJTU1VamqqZTslJcU+F2UjoSM3OLqEB5Yfk2AAAAAAQO6WZx67e+PGDY0cOVJdu3a1pDwJCQlydXVVoUKFrPoGBgYqISHB0qdo0aIZzle0aFFLn8xMnjzZsuaIn5+fQkJCbHg1AAAAAADAkfJEIJKWlqbnnntO6enpmjdv3n37m81mq8f/ZPYooH/3+bdRo0YpOTnZ8jpz5syDFQ8AAAAAAHKdXB+IpKWlqUuXLoqLi9PmzZut5gAFBQXp5s2bSkpKsjomMTHRskBNUFCQ/vzzzwznPX/+/D0XsXFzc5Ovr6/VCwAAAAAA5A+5OhC5E4b89ttv+vrrrxUQEGC1v1atWnJxcdHmzZstbfHx8Tp8+LDq168vSapXr56Sk5O1e/duS58ffvhBycnJlj4AAAAAAMBYHLqo6pUrV3T8+HHLdlxcnA4cOCB/f38FBwfrmWee0f79+7V+/Xrdvn3bsuaHv7+/XF1d5efnp549e2ro0KEKCAiQv7+/hg0bpqpVq6p58+aSpEqVKlmej7xgwQJJfz92t3379ll+wgwAAAAAAMhfHBqI7N27V02aNLFsDxkyRJLUrVs3RUVF6YsvvpAkVa9e3eq4rVu3Kjw8XJL07rvvytnZWV26dNH169fVrFkzxcbGysnJydJ/+fLlGjhwoOVpNB06dNCcOXPseGUAAAAAACA3c2ggEh4eLrPZfNf999p3h7u7u2bPnq3Zs2fftY+/v7+WLVv2QDUCAAAAAID8J1evIQIAAAAAAGAPDh0hAgAAAACAJCnKL4ffL9nmp9y2bZuaNGmipKQkFSxYULGxsYqIiNClS5fueswvv/yi7t2768CBA6pYsaLWrl2rsLAw/fjjj6pevXqGc8J2GCECAAAAAEAW7dy5U05OTmrdurVNzhcZGSkvLy8dO3ZMW7ZsUUhIiOLj41WlSpVM+8fGxhKM2AiBCAAAAAAAWbR48WINGDBAO3bs0OnTpx/6fCdOnNATTzyhUqVKKSAgQE5OTgoKCpKzs30ndNy+fVvp6el2fY/cjkAEAAAAAIAsuHr1qj755BO99tprat++vWJjYx/qfCaTSfv27dOECRNkMpkUFRWlkydPymQy6cCBAxn6b9u2TT169FBycrJMJpPlGEm6efOmhg8fruLFi8vLy0t169bVtm3bLMfeGVmyfv16Va5cWW5ubjp16pS2bdumOnXqyMvLSwULFlSDBg106tSph7quvIJABAAAAACALFi1apUqVKigChUq6MUXX1RMTEyWno56N/Hx8XrkkUc0dOhQxcfHa9iwYffsX79+fc2cOVO+vr6Kj4+3OqZHjx763//+p5UrV+rgwYP6v//7P7Vu3Vq//fab5fhr165p8uTJWrhwoY4cOSJ/f3917NhRjRs31sGDB7Vr1y716dNHJpPpga8pL2FRVQAAAAAAsmDRokV68cUXJUmtW7fWlStXtGXLFjVv3vyBzndnaoy3t7eCgoIkSX/99ddd+7u6usrPz08mk8nSX/p72s3HH3+ss2fPKjg4WJI0bNgwbdy4UTExMYqOjpYkpaWlad68eXr00UclSRcvXlRycrLat2+vMmXKSJIqVar0QNeSFxGIAAAAAABwH8eOHdPu3bu1evVqSZKzs7OeffZZLV68+IEDEVvZv3+/zGazypcvb9WempqqgIAAy7arq6uqVatm2fb391f37t3VqlUrtWjRQs2bN1eXLl1UrFixHKvdkQhEAAAAAAC4j0WLFunWrVsqXry4pc1sNsvFxUVJSUkqVKiQw2pLT0+Xk5OT9u3bJycnJ6t93t7elj97eHhkmA4TExOjgQMHauPGjVq1apXGjBmjzZs36/HHH8+R2h2JQAQAAAAAgHu4deuWli5dqnfeeUctW7a02te5c2ctX75c/fv3z5FaXF1ddfv2bau2GjVq6Pbt20pMTFTDhg2zfc4aNWqoRo0aGjVqlOrVq6cVK1YYIhBhUVUAAAAAAO5h/fr1SkpKUs+ePVWlShWr1zPPPKNFixblWC2hoaGWtUv++usvXbt2TeXLl9cLL7ygl19+WatXr1ZcXJz27NmjqVOn6ssvv7zrueLi4jRq1Cjt2rVLp06d0qZNm/Trr78aZh0RRogAAAAAABwvKtnRFdzVokWL1Lx5c/n5+WXY17lzZ0VHR2v//v05Ukv9+vX16quv6tlnn9WFCxcUGRmpqKgoxcTEaOLEiRo6dKj++OMPBQQEqF69emrbtu1dz+Xp6alffvlFS5Ys0YULF1SsWDH1799fffv2zZFrcTST+WGeEWQgKSkp8vPzU3Jysnx9fR1dTgahIzc4uoQHdnJKO0eXAAAAACCH3LhxQ3FxcQoLC5O7u7ujy0EedK97KDs/uzNlBgAAAAAAGA6BCAAAAAAAMBwCEQAAAAAAYDgEIgAAAAAAwHAIRAAAAAAAgOEQiAAAAAAAAMMhEAEAAAAAAIZDIAIAAAAAAAyHQAQAAAAAABiOs6MLAAAAAACg6pKqOfp+h7odstm5wsPDVb16dc2cOVOSFBoaqoiICEVERNjsPWB7jBABAAAAAOA+unfvLpPJlOF1/PhxrV69Wm+99dZdjzWZTFq7dm3OFZsLdO/eXR07dnR0GfdEIAIAAAAAQBa0bt1a8fHxVq+wsDD5+/vLx8fH7u+flpb20OcIDw9XbGzsAx9/8+bNh67hn2xxTQ+KQAQAAAAAgCxwc3NTUFCQ1cvJyUnh4eF3nR4TGhoqSXr66adlMpks25K0bt061apVS+7u7ipdurTGjx+vW7duWfabTCa9//77euqpp+Tl5aWJEycqKSlJL7zwgooUKSIPDw+VK1dOMTExdrvmOyM9Jk+erODgYJUvX16S9Mcff+jZZ59VoUKFFBAQoKeeekonT56UJEVFRWnJkiX6/PPPLSNptm3bppMnT8pkMumTTz5ReHi43N3dtWzZMqWnp2vChAkqUaKE3NzcVL16dW3cuNFu13QHa4gAAAAAAGAne/bsUdGiRRUTE6PWrVvLyclJkvTVV1/pxRdf1KxZs9SwYUOdOHFCffr0kSRFRkZajo+MjNTkyZP17rvvysnJSWPHjtXPP/+s//73vypcuLCOHz+u69ev2/UatmzZIl9fX23evFlms1nXrl1TkyZN1LBhQ3377bdydnbWxIkT1bp1ax08eFDDhg3T0aNHlZKSYglr/P39de7cOUnSiBEj9M477ygmJkZubm5677339M4772jBggWqUaOGFi9erA4dOujIkSMqV66c3a6LQAQAAAAAgCxYv369vL29Ldtt2rTRf/7zn3seU6RIEUlSwYIFFRQUZGmfNGmSRo4cqW7dukmSSpcurbfeekvDhw+3CkS6du2qV155xbJ9+vRp1ahRQ7Vr15YkqxEn9uLl5aWFCxfK1dVVkrR48WIVKFBACxculMlkkiTFxMSoYMGC2rZtm1q2bCkPDw+lpqZaXfMdERER6tSpk2X77bff1ogRI/Tcc89JkqZOnaqtW7dq5syZmjt3rt2ui0AEAAAAAIAsaNKkiebPn2/Z9vLyeuBz7du3T3v27NGkSZMsbbdv39aNGzd07do1eXp6SpIl+LjjtddeU+fOnbV//361bNlSHTt2VP369e/6PtHR0YqOjrZsX79+Xd9//7369+9vafvvf/+rhg0b3vUcVatWtYQhd2o/fvx4hnVTbty4oRMnTtznyq2vKSUlRefOnVODBg2s+jRo0EA//fTTfc/1MAhEAAAAAADIAi8vL5UtW9Ym50pPT9f48eOtRkrc4e7ubvWe/9SmTRudOnVKGzZs0Ndff61mzZrp9ddf19tvv53p+7z66qvq0qWLZfuFF15Q586drd63ePHi96z13zWkp6erVq1aWr58eYa+d0bEZOd8kiwjTe4wm80Z2myNQAQAAAAAADtycXHR7du3rdpq1qypY8eOPVDAUqRIEXXv3l3du3dXw4YN9cYbb9w1EPH395e/v79l28PDQ0WLFn2oYKdmzZpatWqVihYtKl9f30z7uLq6ZrjmzPj6+io4OFg7duxQo0aNLO07d+5UnTp1HrjGrOApMwAAAAAA2FFoaKi2bNmihIQEJSUlSZLGjRunpUuXKioqSkeOHNHRo0e1atUqjRkz5p7nGjdunD7//HMdP35cR44c0fr161WpUqWcuAyLF154QYULF9ZTTz2l7777TnFxcdq+fbsGDRqks2fPSvr7mg8ePKhjx47pr7/+uufjdd944w1NnTpVq1at0rFjxzRy5EgdOHBAgwYNsut1MEIEAAAAAOBwh7odcnQJdvPOO+9oyJAh+vDDD1W8eHGdPHlSrVq10vr16zVhwgRNmzZNLi4uqlixonr16nXPc7m6umrUqFE6efKkPDw81LBhQ61cuTKHruRvnp6e+vbbbzVixAh16tRJly9fVvHixdWsWTPLiJHevXtr27Ztql27tq5cuaKtW7fedQHYgQMHKiUlRUOHDlViYqIqV66sL774wq5PmJEkk9lsNtv1HfKJlJQU+fn5KTk5+a5DghwpdOQGR5fwwE5OaefoEgAAAADkkBs3biguLk5hYWFWa2UAWXWveyg7P7szZQYAAAAAABgOU2YAPDBGJgEAAADIqxghAgAAAAAADIdABAAAAAAAGA6BCAAAAAAgx/F8DzwoW907rCECAAAAAMgxLi4uMplMOn/+vIoUKSKTyeTokpCHmM1mnT9/XiaTSS4uLg91LgIRAAAAAECOcXJyUokSJXT27FmdPHnS0eUgDzKZTCpRooScnJwe6jwEIgAAAACAHOXt7a1y5copLS3N0aUgD3JxcXnoMEQiEAEAAAAAOICTk5NNfqgFHhSLqgIAAAAAAMMhEAEAAAAAAIZDIAIAAAAAAAyHQAQAAAAAABgOgQgAAAAAADAcAhEAAAAAAGA4BCIAAAAAAMBwCEQAAAAAAIDhEIgAAAAAAADDIRABAAAAAACGQyACAAAAAAAMh0AEAAAAAAAYDoEIAAAAAAAwHAIRAAAAAABgOAQiAAAAAADAcAhEAAAAAACA4RCIAAAAAAAAwyEQAQAAAAAAhkMgAgAAAAAADIdABAAAAAAAGA6BCAAAAAAAMBwCEQAAAAAAYDgEIgAAAAAAwHAIRAAAAAAAgOEQiAAAAAAAAMMhEAEAAAAAAIZDIAIAAAAAAAyHQAQAAAAAABgOgQgAAAAAADAcAhEAAAAAAGA4BCIAAAAAAMBwHBqIfPvtt3ryyScVHBwsk8mktWvXWu03m82KiopScHCwPDw8FB4eriNHjlj1SU1N1YABA1S4cGF5eXmpQ4cOOnv2rFWfpKQkvfTSS/Lz85Ofn59eeuklXbp0yc5XBwAAAAAAciuHBiJXr17Vo48+qjlz5mS6f9q0aZoxY4bmzJmjPXv2KCgoSC1atNDly5ctfSIiIrRmzRqtXLlSO3bs0JUrV9S+fXvdvn3b0qdr1646cOCANm7cqI0bN+rAgQN66aWX7H59AAAAAAAgd3J25Ju3adNGbdq0yXSf2WzWzJkzNXr0aHX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",
       "text/plain": [
        "<Figure size 1300x700 with 1 Axes>"
       ]
@@ -427,39 +427,39 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AP</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>179</td>\n",
-       "      <td>107</td>\n",
+       "      <td>1201</td>\n",
+       "      <td>248</td>\n",
+       "      <td>145.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FP</th>\n",
-       "      <td>862</td>\n",
-       "      <td>156</td>\n",
-       "      <td>97</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>206</td>\n",
+       "      <td>139.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SE</th>\n",
-       "      <td>606</td>\n",
-       "      <td>150</td>\n",
-       "      <td>95</td>\n",
+       "      <td>743</td>\n",
+       "      <td>179</td>\n",
+       "      <td>138.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GA</th>\n",
-       "      <td>306</td>\n",
-       "      <td>96</td>\n",
-       "      <td>79</td>\n",
+       "      <td>355</td>\n",
+       "      <td>114</td>\n",
+       "      <td>92.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B1</th>\n",
-       "      <td>42</td>\n",
-       "      <td>8</td>\n",
-       "      <td>5</td>\n",
+       "      <td>47</td>\n",
+       "      <td>13</td>\n",
+       "      <td>9.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B2</th>\n",
-       "      <td>42</td>\n",
+       "      <td>59</td>\n",
        "      <td>18</td>\n",
-       "      <td>5</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -468,12 +468,12 @@
       "text/plain": [
        "           Pre-filtered  All filters  Filters + retro\n",
        "subpocket                                            \n",
-       "AP                 1001          179              107\n",
-       "FP                  862          156               97\n",
-       "SE                  606          150               95\n",
-       "GA                  306           96               79\n",
-       "B1                   42            8                5\n",
-       "B2                   42           18                5"
+       "AP                 1201          248            145.0\n",
+       "FP                 1100          206            139.0\n",
+       "SE                  743          179            138.0\n",
+       "GA                  355          114             92.0\n",
+       "B1                   47           13              9.0\n",
+       "B2                   59           18              NaN"
       ]
      },
      "execution_count": 14,
@@ -504,7 +504,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -514,7 +514,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -557,12 +557,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "shape mismatch: objects cannot be broadcast to a single shape.  Mismatch is between arg 0 with shape (7,) and arg 1 with shape (0,).",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[17], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m n_fragments_per_subpocket_new \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mlen\u001b[39m(fragments) \u001b[38;5;28;01mfor\u001b[39;00m _, fragments \u001b[38;5;129;01min\u001b[39;00m fragment_library_new\u001b[38;5;241m.\u001b[39mitems()]\n\u001b[1;32m      2\u001b[0m n_fragments_per_subpocket_old \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mlen\u001b[39m(fragments) \u001b[38;5;28;01mfor\u001b[39;00m _, fragments \u001b[38;5;129;01min\u001b[39;00m fragment_library_old\u001b[38;5;241m.\u001b[39mitems()]\n\u001b[0;32m----> 3\u001b[0m \u001b[43mplot_n_fragments_kinfraglib\u001b[49m\u001b[43m(\u001b[49m\u001b[43mn_fragments_per_subpocket_new\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_fragments_per_subpocket_old\u001b[49m\u001b[43m)\u001b[49m\n",
+      "Cell \u001b[0;32mIn[16], line 24\u001b[0m, in \u001b[0;36mplot_n_fragments_kinfraglib\u001b[0;34m(n_fragments_per_subpocket_new, n_fragments_per_subpocket_old)\u001b[0m\n\u001b[1;32m     17\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m8\u001b[39m, \u001b[38;5;241m8\u001b[39m))\n\u001b[1;32m     18\u001b[0m ax1 \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mbar(\n\u001b[1;32m     19\u001b[0m     SUBPOCKET_COLORS_X\u001b[38;5;241m.\u001b[39mkeys(),\n\u001b[1;32m     20\u001b[0m     n_fragments_per_subpocket_new,\n\u001b[1;32m     21\u001b[0m     fill\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m     22\u001b[0m     edgecolor\u001b[38;5;241m=\u001b[39mSUBPOCKET_COLORS_X\u001b[38;5;241m.\u001b[39mvalues(),\n\u001b[1;32m     23\u001b[0m )\n\u001b[0;32m---> 24\u001b[0m ax2 \u001b[38;5;241m=\u001b[39m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbar\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     25\u001b[0m \u001b[43m    \u001b[49m\u001b[43mSUBPOCKET_COLORS_X\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkeys\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     26\u001b[0m \u001b[43m    \u001b[49m\u001b[43mn_fragments_per_subpocket_old\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     27\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mSUBPOCKET_COLORS_X\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     28\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     29\u001b[0m plt\u001b[38;5;241m.\u001b[39mlegend([\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUpdated KinFragLib\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mfragments\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPrevious KinFragLib\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mfragments\u001b[39m\u001b[38;5;124m\"\u001b[39m], fontsize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m17\u001b[39m)\n\u001b[1;32m     30\u001b[0m plt\u001b[38;5;241m.\u001b[39mylabel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m# Fragments\u001b[39m\u001b[38;5;124m\"\u001b[39m, fontsize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m17\u001b[39m)\n",
+      "File \u001b[0;32m~/miniforge3/envs/kinfraglib/lib/python3.8/site-packages/matplotlib/pyplot.py:2487\u001b[0m, in \u001b[0;36mbar\u001b[0;34m(x, height, width, bottom, align, data, **kwargs)\u001b[0m\n\u001b[1;32m   2483\u001b[0m \u001b[38;5;129m@_copy_docstring_and_deprecators\u001b[39m(Axes\u001b[38;5;241m.\u001b[39mbar)\n\u001b[1;32m   2484\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mbar\u001b[39m(\n\u001b[1;32m   2485\u001b[0m         x, height, width\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.8\u001b[39m, bottom\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m, align\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcenter\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m   2486\u001b[0m         data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 2487\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mgca\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbar\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   2488\u001b[0m \u001b[43m        \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheight\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwidth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mwidth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbottom\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbottom\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43malign\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43malign\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   2489\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdata\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m}\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniforge3/envs/kinfraglib/lib/python3.8/site-packages/matplotlib/__init__.py:1438\u001b[0m, in \u001b[0;36m_preprocess_data.<locals>.inner\u001b[0;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1435\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[1;32m   1436\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(ax, \u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m   1437\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1438\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mmap\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43msanitize_sequence\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1440\u001b[0m     bound \u001b[38;5;241m=\u001b[39m new_sig\u001b[38;5;241m.\u001b[39mbind(ax, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m   1441\u001b[0m     auto_label \u001b[38;5;241m=\u001b[39m (bound\u001b[38;5;241m.\u001b[39marguments\u001b[38;5;241m.\u001b[39mget(label_namer)\n\u001b[1;32m   1442\u001b[0m                   \u001b[38;5;129;01mor\u001b[39;00m bound\u001b[38;5;241m.\u001b[39mkwargs\u001b[38;5;241m.\u001b[39mget(label_namer))\n",
+      "File \u001b[0;32m~/miniforge3/envs/kinfraglib/lib/python3.8/site-packages/matplotlib/axes/_axes.py:2430\u001b[0m, in \u001b[0;36mAxes.bar\u001b[0;34m(self, x, height, width, bottom, align, **kwargs)\u001b[0m\n\u001b[1;32m   2427\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m yerr \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   2428\u001b[0m         yerr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_convert_dx(yerr, y0, y, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconvert_yunits)\n\u001b[0;32m-> 2430\u001b[0m x, height, width, y, linewidth \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbroadcast_arrays\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   2431\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;66;43;03m# Make args iterable too.\u001b[39;49;00m\n\u001b[1;32m   2432\u001b[0m \u001b[43m    \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43matleast_1d\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheight\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwidth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlinewidth\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2434\u001b[0m \u001b[38;5;66;03m# Now that units have been converted, set the tick locations.\u001b[39;00m\n\u001b[1;32m   2435\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m orientation \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mvertical\u001b[39m\u001b[38;5;124m'\u001b[39m:\n",
+      "File \u001b[0;32m<__array_function__ internals>:200\u001b[0m, in \u001b[0;36mbroadcast_arrays\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
+      "File \u001b[0;32m~/miniforge3/envs/kinfraglib/lib/python3.8/site-packages/numpy/lib/stride_tricks.py:540\u001b[0m, in \u001b[0;36mbroadcast_arrays\u001b[0;34m(subok, *args)\u001b[0m\n\u001b[1;32m    533\u001b[0m \u001b[38;5;66;03m# nditer is not used here to avoid the limit of 32 arrays.\u001b[39;00m\n\u001b[1;32m    534\u001b[0m \u001b[38;5;66;03m# Otherwise, something like the following one-liner would suffice:\u001b[39;00m\n\u001b[1;32m    535\u001b[0m \u001b[38;5;66;03m# return np.nditer(args, flags=['multi_index', 'zerosize_ok'],\u001b[39;00m\n\u001b[1;32m    536\u001b[0m \u001b[38;5;66;03m#                  order='C').itviews\u001b[39;00m\n\u001b[1;32m    538\u001b[0m args \u001b[38;5;241m=\u001b[39m [np\u001b[38;5;241m.\u001b[39marray(_m, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, subok\u001b[38;5;241m=\u001b[39msubok) \u001b[38;5;28;01mfor\u001b[39;00m _m \u001b[38;5;129;01min\u001b[39;00m args]\n\u001b[0;32m--> 540\u001b[0m shape \u001b[38;5;241m=\u001b[39m \u001b[43m_broadcast_shape\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    542\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mall\u001b[39m(array\u001b[38;5;241m.\u001b[39mshape \u001b[38;5;241m==\u001b[39m shape \u001b[38;5;28;01mfor\u001b[39;00m array \u001b[38;5;129;01min\u001b[39;00m args):\n\u001b[1;32m    543\u001b[0m     \u001b[38;5;66;03m# Common case where nothing needs to be broadcasted.\u001b[39;00m\n\u001b[1;32m    544\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m args\n",
+      "File \u001b[0;32m~/miniforge3/envs/kinfraglib/lib/python3.8/site-packages/numpy/lib/stride_tricks.py:422\u001b[0m, in \u001b[0;36m_broadcast_shape\u001b[0;34m(*args)\u001b[0m\n\u001b[1;32m    417\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Returns the shape of the arrays that would result from broadcasting the\u001b[39;00m\n\u001b[1;32m    418\u001b[0m \u001b[38;5;124;03msupplied arrays against each other.\u001b[39;00m\n\u001b[1;32m    419\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    420\u001b[0m \u001b[38;5;66;03m# use the old-iterator because np.nditer does not handle size 0 arrays\u001b[39;00m\n\u001b[1;32m    421\u001b[0m \u001b[38;5;66;03m# consistently\u001b[39;00m\n\u001b[0;32m--> 422\u001b[0m b \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbroadcast\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[38;5;241;43m32\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    423\u001b[0m \u001b[38;5;66;03m# unfortunately, it cannot handle 32 or more arguments directly\u001b[39;00m\n\u001b[1;32m    424\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m pos \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m32\u001b[39m, \u001b[38;5;28mlen\u001b[39m(args), \u001b[38;5;241m31\u001b[39m):\n\u001b[1;32m    425\u001b[0m     \u001b[38;5;66;03m# ironically, np.broadcast does not properly handle np.broadcast\u001b[39;00m\n\u001b[1;32m    426\u001b[0m     \u001b[38;5;66;03m# objects (it treats them as scalars)\u001b[39;00m\n\u001b[1;32m    427\u001b[0m     \u001b[38;5;66;03m# use broadcasting to avoid allocating the full array\u001b[39;00m\n",
+      "\u001b[0;31mValueError\u001b[0m: shape mismatch: objects cannot be broadcast to a single shape.  Mismatch is between arg 0 with shape (7,) and arg 1 with shape (0,)."
+     ]
+    },
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 800x800 with 1 Axes>"
       ]
@@ -594,7 +612,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -624,7 +642,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -668,7 +686,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -686,7 +704,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -732,7 +750,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -759,7 +777,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -786,7 +804,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -813,7 +831,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -840,7 +858,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -867,7 +885,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -894,7 +912,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -922,7 +940,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -931,7 +949,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -941,7 +959,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -964,7 +982,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -977,7 +995,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -994,7 +1012,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1012,7 +1030,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1028,7 +1046,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1043,7 +1061,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1054,7 +1072,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1159,7 +1177,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1187,7 +1205,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1197,7 +1215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1225,7 +1243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1268,7 +1286,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1287,7 +1305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1318,7 +1336,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1346,7 +1364,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1356,7 +1374,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1377,7 +1395,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1428,7 +1446,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.8.19"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/custom_kinfraglib/README.md b/notebooks/custom_kinfraglib/README.md
index bae60192..fbf92c7d 100644
--- a/notebooks/custom_kinfraglib/README.md
+++ b/notebooks/custom_kinfraglib/README.md
@@ -21,4 +21,6 @@ single filtering steps and modify the parameters.
 ### `2_2_custom_filters_analysis.ipynb`
 This notebook analyzes the custom-filtered fragment library and compares it with the pre-filtered and the reduced fragment set from the previous study.
 ### `2_3_custom_filters_paper.ipynb` 
-This notebook contains all the code used to generate figures for the CustomKinFragLib paper. 
\ No newline at end of file
+This notebook contains all the code used to generate figures for the CustomKinFragLib paper. 
+## Requirements
+To successfully apply the pairwise retrosynthesizability filters in `1_4_custom_filters_pairwise_retrosynthesizability.ipynb` and `2_1_custom_filters_pipeline.ipynb`, the ASKCOS API might need to be installed following the [Documentation](https://askcos-docs.mit.edu/guide/1-Introduction/1.1-Introduction.html). Note that for the data used in the notebooks, all results from ASKCOS are already precomputed and ASKCOS does not need to be installed to run the notebooks. However, if new data is added ASKCOS needs to be installed and run (using `make start` within the `askcos2_core` directory which is obtained following the [installation](https://askcos-docs.mit.edu/guide/1-Introduction/1.1-Introduction.html)).
\ No newline at end of file
diff --git a/notebooks/kinfraglib/3_1_fragment_library_reduced.ipynb b/notebooks/kinfraglib/3_1_fragment_library_reduced.ipynb
index fa20c731..9cbf7660 100644
--- a/notebooks/kinfraglib/3_1_fragment_library_reduced.ipynb
+++ b/notebooks/kinfraglib/3_1_fragment_library_reduced.ipynb
@@ -123,11 +123,9 @@
     "    \n",
     "    for subpocket, fragments in fragment_library_concat.groupby('subpocket'):\n",
     "        \n",
-    "        with open(path_output / f'{subpocket}.sdf', 'w') as f:\n",
-    "            w = Chem.SDWriter(f)\n",
+    "        with Chem.SDWriter(str(path_output / f\"{subpocket}.sdf\")) as w:\n",
     "            for mol in fragments.ROMol_original:\n",
-    "                w.write(mol)\n",
-    "            w.close()"
+    "                w.write(mol)"
    ]
   },
   {